s1 = 10134689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14018128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14018128, s2 = 14162035, int(edited[s2]) = 0 s1 = 14018128, s2 = 14162035, d1 = 8, d2 = 8 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14018128, s2 = 14162035, dlinesl.size( ) = 2 s1 = 14018128, s2 = 14162035, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14018128, Dl.E( ) = 10, 0.0773 seconds used appending s1 = 7809439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9212808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9212808, s2 = 9352476, int(edited[s2]) = 0 s1 = 9212808, s2 = 9352476, d1 = 8, d2 = 5 Dl.O(d1) = 12623449,8569578,8569577,12623447,255589101,31704949,31704950,40396966,257679951,258911705,269885385,257679949,50430336,61920155,74713369,74713373,257679953,40396968,31704953,24197350,17828117 Dl.O(d2) = 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43,1282245,2208240,3688616,5903835,9036300,254627466,17332320,12207180,8238858,5311189,5311190,8238860,12207182,17332322,16590016,255047467,10813628,10888108,7200003,4536148,254229725,1579831,2726666,4536174,5234317,5234316,8164452,9900139,9864312,6479649,4060396,4060395,6479647,9864307,14354604,254980407,9964322,14482499,14482498,14376100,9882048,6492522,6492523,254972433,20060677,20038783,14354477,9863016,9863017,14354480,20038785,268117517,254609951,2011519,254609047,12569634,268014865,5767505,3592445,2141879,2141878,3592443,5767502 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 19603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13400607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10202360, s2 = 7930767, int(edited[s2]) = 0 s1 = 10202360, s2 = 7930767, d1 = 27, d2 = 53 Dl.O(d1) = 29537487,22194430,255078511,7399257,254767673,16065987,11471278,11471277,16463892,22657069,30031475,38605220,38100997,29537484 Dl.O(d2) = 255106217,7630166,7630165,11471286,16065986,11471272,7630157,7630158,11471274,16463886,255927711,22657078,255927712,255927709,29537497,22194437,255078515,254525351,4674312,7399260,11155580,16065994,16463874,16463873,22657060,30031466,256969181,30031480,22657072,16463897,255486471,29537489,22194430,255078511,7399257,254767673,16065987,16463876,16463875,22194431,16463896,11471281,11471280,16463894,22194433,16065991,16065992,22194435,29537491,29537495,29537494,30031478,29537489,22194430,255078511,7399257,254767673,16065987,11471278,7630160,4827438,2909108,1687686,1687687,2909110,4827445,7630172,255486475,16463882,255486469,16065985,11155571,11155572,255454565,16463900,22657077,22657078,255927712,255927709,29537497,22194437,255078515,254525351,4674312,7399260,255892241 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 46896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 46896, s2 = 14040854, int(edited[s2]) = 0 s1 = 46896, s2 = 14040854, d1 = 2, d2 = 0 Dl.O(d1) = 255304966,26152436,19453593,13921390,13921389,9661267,9661269,13442991,13259717,13259718,15477848,17056355,17056356,21839742,23321723,17056492,15770146,11965861,11965862,17056955,22915912,17421393,15797084,10945415,10945413,8010115,5099253,3095081,3095080,5099248,6919413,4346939,2863459,1661992,945635,914163,515910,515909,914160,1606930,1606600,913905,912660,912659,1604796,1502576,1502575,1066280,599352,333928,333929,599355,1066285,913948,913949,913998,515775,515774,913997,913938,913939,913540,913541,1606077,913490,515447,515446,913485,1606071,2767456,1605929,254232580,532219,532218,943652,1658456,2769650,2769649,4602786,4603779,3193519,3193518,5232819,4766137,2873129,2873131,4741581,2857566,2857567,4469176,2812960,2770455,2770454,4603823,5481685,3373257,1985085,1985086,3373260,4783507,4783511,3373248,3373249,2767985,1604738,912612,912613,1604743,2767996,2812956,1631906,1631904,2812950,4669110,7098110,4469092,2770260,2767777,2767388,2767389,2857539,4604190,4741591,4602850,2769739,2769738,1632011,928090,928089,1632005,2813067,4603813,2928031,1698437,1698439,2928040,4469084,4604543,4540720,4540447,2813961,1632553,1632554,2812873,4600397,4469142,4469141,2729488,1581461,899032,899036,536509,536512,928040,523082,523085,928012,523066,523063,928004,1631895,2812932,4469205,4476086,5032300,267836359,1774318,1011421,1011422,884369,884368,1012035,570450,570455,1012003,1774195,2765610,1603095,1011974,570416,570418,1011980,1775060,2813018,1774907,1011853,1011855,1774914,3047042,4598333,3046367,1774336,1011847,1011849,1774504,1774508,1775280,1557674,885533,885534,1557678,1011325,570032,570035,570047,570045,570282,319424,176638,97154,53614,30209,17371,17372,30213,53627,97179,176693,319527,570483,1011364,1011362,1012183,1011405,570079,570077,1011400,570421,570420,1011985,1775071,3046216,1774166,1687077,1011956,1011957,1011340,1011341,1774235,1775000,1011925,1011926,1601228,1012197,1012196,1133808,1984791,3046181,1774633,1011627,570208,319382,319383,319453,570337,514522,514523,319397,319375,176714,97186,97188,176662,176661,319471,570371,1011882,1686643,958951,540305,302732,302730,353540,353539,636538,958568,1685978,2906552,254512003,1583227,1583228,2732250,267827953,1985561,1985562,3373997,2822742,2822743,4684913,4598435,3374008,3374007,3050312,3047309,2761792,1601000,1601001,1133563,908968,267765575,1686672,958992,540348,540349,302781,302780,512775,287550,159007,159010,287558,287506,287505,512717,540342,540341,636420,353463,353462,636417,959054,254168895,909008,512747,505784,283551,283550,162671,162672,294138,524877,635747,559522,313286,173282,173283,313290,279713,279714,498752,883884,927700,522892,293077,162098,162099,293081,352885,193290,193291,159311,87649,87650,159313,288022,504024,288029,159319,87654,87655,159321,288031,352927,298445,165340,91051,91050,105640,193253,105604,58054,58050,105593,193424,353030,503466,298502,165400,91092,50219,50220,58078,32675,18772,10762,6059,6060,10769,18785,32703,58134,84322,97204,97205,95346,52641,29646,29645,52635,32647,32646 Dl.O(d2) = 5598,3008,3009,5599,9970,16979,9961,5590,254069527,17332,15525,15526,254070917,17356,254072389,17382,17381,30225,28322,28323,27416,27415,29066,50601,28416,17409,9998,9997,17407,30251,52164,50383,28291,16830,9621,5359,5358,9617,16150,9158,9160,9165,9164,16159,17663,25612,17807,17806,30874,54631,98827,179724,325470,582091,1032868,254255267,3056461,3056462,3056762,3056759,5046167,3056606,1781479,1015901,572648,572649,1015903,1781482,1792902,1022683,576242,322458,178248,178247,322456,178741,178742,321815,177922,177921,282927,282928,504610,894454,1573107,2714961,3053824,3053822,5043304,254385740,5066774,3070866,1790687,1021215,575437,322042,178036,178035,322041,575436,1021213,1790682,254378061,3057426,3057427,3053348,1778913,1014226,571695,320243,320242,571692,1014219,1778905,3053342,1787730,1019321,1019322,1787732,1787891,3066893,3066894,3071896,254253473,1791785,3072291,3066798,1787686,1019295,1019297,1022034,1786619,1018775,574141,574138,1018770,1786612,3064933,5058880,5063433,7957591,11896961,11896960,7960243,7931087,5059855,5059854,7943733,7943734,7993960,7978102,7978103,7957701,5061524,3070020,3070021,1805795,1031203,1031204,1805800,3091267,5051957,3060723,1784221,1017520,1017518,1784212,3060701,1804319,1804317,3089196,3056018,1781027,1781028,3056023,1784716,1017744,1017743,1784711,1791759,1791757,3065721,5060152,5227429,3189219,3189218,3056093,3056092,5045632,7935014,7956554,5060735,3066054,3066056,5060741,5060112,5060111,5077809,7944025,5052115,5052110,3065238,1786802,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774656,10774659,15576276,15669084,10847309,7171062,4516866,2714566,2714567,4516873,7171077,7942252,5050999,5051000,3060217,3060215,5051007,7942272,7979393,7979392,7946276,7946277,7985829,5082449,3082511,1798840,1798843,1794534,1794537,3075839,5053777,5072745,5072747,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7973572,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,9168649,13410156,11988143,8039483,8039481,11888590,7948560,5054954,3062369,3062368,5054949,7948553,11888581,267903088,8561446,12613057,17098349,254384194,5164446,3147066,1840925,1840926,1050648,590963,590964,1050672,1841156,3147472,5165079,7948658,7987338,5083466,3083221,3083223,5050746,5050747,4531404,2723878,1785105,1017938,1017940,1785117,3062417,5055048,7948691,8348104,8348106,11253570,8350459,8350460,11883478,7944651,7944650,10835149,10835148,10835067,7162305,7162304,10835065,15325622,10585097,6982694,6982695,10585099,15325625,254572588,254357374,3066563,1787542,1019216,1019217,1787550,3066579,5061575,7957780,11899439,11882556,7943906,7943905,11295508,11295509,7982719,7982720,11928588,7981985,254381602,16975122,11928546,10848026,7171656,7171654,10848020,11887712,11893940,16980517,11897994,11212552,8092788,8092787,7982515,5085039,3084696,3084698,3072238,3072235,5068449,7956165,5060478,5060480,7956175,7932778,5077450,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,254103894,16077610,16077609,11923925,254177388,7949004,5055248,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995043,7995042,11944576,16138992,11211230,11211229,16138989,22283154,23238526,17026475,17026474,23285634,30663266,30689679,23275804,17017229,11933200,11933201,17017231,23239681,16969571,16969570,22283563,17042045,11955398,8003295,5095137,3092702,1807032,1807029,3092714,5095177,7952568,11893213,12156314,8186667,5256048,5256047,8186666,7520817,7520819,11047969,7323009,7323011,11047973,11324802,11324803,16283666,22452905,17237244,12120038,12120039,17237248,12156329,12156330,17276807,12179605,8211548,5282797,3235966,1898319,1083524,1083525,1898322,3235972,5218985,3183656,3183657,5218987,3228909,3228910,5274673,7305849,7322908,8653720,8653721,12257316,11489682,11489681,16490742,22117869,16004670,16004671,20018196,14337204,9849227,6468910,254684743,6498404,4071960,2436521,2436522,4071963,6498407,6498539,7832892,11401693,14354612,14354613,14374299,14354172,9862714,6478682,4059875,4059873,254685565,4499500,2703678,2703677,2438521,2438520,1410013,802116,802117,1410018,2438674,2438762,1410215,1410213,2439051,4065240,2942151,1706238,969903,969904,1706241,2434037,4067699,4882753,4882754,7714658,11589703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 46896, s2 = 14040854, dlinesl.size( ) = 2 s1 = 46896, s2 = 14040854, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 46896, Dl.E( ) = 6, 1.19e-05 seconds used appending s1 = 9736801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8036538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8058550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8058550, s2 = 7913319, int(edited[s2]) = 0 s1 = 8058550, s2 = 7913319, d1 = 7, d2 = 5 Dl.O(d1) = 50087080,40065565,31382811,23886033,254691410 Dl.O(d2) = 57311,104244,190945,348266,626814,1117050,1955451,3324701,5407709,4874465,4874466,7701919,6048986,6048985,9235900,13499530,13515661,9248346,7484650,7484649,11244501,16177644,20146192,14451590,9942448,6534642,4094384,255331931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8058550, s2 = 7913319, dlinesl.size( ) = 2 s1 = 8058550, s2 = 7913319, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8058550, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 14124569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6741782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7893232, s2 = 13164094, int(edited[s2]) = 0 s1 = 7893232, s2 = 13164094, d1 = 6, d2 = 2 Dl.O(d1) = 255924812,10704177,10704081,7071791,7071788,10704098,255407183,28740192,23124782,16864878,16864877,23124780,30543316,26398514,26398516,26945725,20060401,16400357,16400358,22582834,22364119,22364120,21205150,15239107,14213110,14213111,14212697,14212696,19839170,19839395,22582977,17049452,11960782,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,11549216,7683734,4861772,4861771,7683730,11549201,16567952,22783640,26384455,23388401,23388402,24217273,19657581,19657582,16042137,11138964,11138965,16042139,22164218,29503728,254366244,34619293,30169458,23389015,17117226,17117227,23389017,30599371,23180675,23180676,26394606,19660305,14092364,14092363,19660304,26394605,34270445,30820813,23392197,23392196,21198136,16398787,11415265,7586341,7586340,6376022,6376024,9694306,14094860,11838132,7911565,7911566,11838135,267964854,15479542,10704359,7912149,5029816,5029815,7912145,8086252,12027896,17115983,23387745,256340370,7236367,4561854,4561852,4489047,4489048,5519229,7301239,4605655,2771803,2771804,4605661,5353241,3290102,3290101,2699740,1564011,889116,501646,501645,889113,1564007,1595415,1595416,2752191,4574627,2752121,1595375,906975,511459,511460,906979,1595384,2752130,3290098,3290099,3229745,1894004,1080993,1080994,920373,920376,1618042,2773900,3222918,3222917,5268184,267841715,267770943,606594,337553,337554,606596,1079996,1091666,1616369,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882522,1914005,1871964,1871963,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914887,518376,290733,160892,160893,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609849,1072857,602789,602786,338584,338585,335792,335794,603010,1073240,914348,914347,1073256,1073255,1881205,1073199,1073198,608429,338574,338573,608421,919525,1616633,2786795,4626863,5243386,3213811,3213812,5257926,3767243,3767245,4626442,7303194,4607659,2773567,2773568,2773551,2773552,3210572,1880386,1072750,915299,516498,516496,915289,602063,602064,335387,184413,100993,100994,55698,55702,101044,184516,335587,602584,517070,517071,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783689,3228874,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,3212423,3212447,254391371,1878484,1878485,3207591,267906109,8180893,254580281,3209427,1879727,1072404,602563,267754739,335433,184435,267745767,254262505,4623085,4623083,2783902,1614769,1614771,1880440,1880438,2783413,4622301,7320911,8148617,5282552,254583115,12179425,15904753,15904751,11050872,7326264,7326268,7319983,7319985,11039276,8150968,5241666,5241664,8172489,12143124,17263600,17323230,17323231,22008743,15907448,12150811,8180715,5250283,3207727,1878575,1878577,3207738,5250301,7315285,8167760,8167759,12137432,8167392,5237055,5237056,8167397,8258098,12119993,12119995,11839860,11839861,8167692,5237257,3196990,1871422,1067504,599982,334255,334254,599973,1067485,1871385,3196934,5237147,5285225,5285227,8214645,5304257,5304259,8184184,8184185,7277725,7277723,8246018,12183779,8214828,8214829,255126557,17322578,15603760,15603759,21635522,23568963,31052968,23621438,17306905,17303148,17303147,23544728,23631833,23621283,17306703,12212275,12212274,12200284,12200285,12170996,12170997,12414528,12200918,8243868,8198164,8198165,12137729,8167659,5237236,5237238,5315493,3264782,1918883,1918884,1654971,1654969,2852086,4733431,4737313,5290943,4793898,4793897,7579069,8230732,8214978,5285484,3237829,1899529,1872420,1872419,3198573,3274690,1926160,1926161,3274697,4589650,3244337,3234963,1897687,1083157,1083156,1897682,3234949,254583047,7781755,8232313,7300479,7300480,11026377,267995063,8222660,5292829,267888342,254519648,8226964,8226965,5314899,4832186,4832187,3264269,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1897509,1975088,3229261,5275049,254834763 Dl.O(d2) = 8210150,5281046,5281047,5300161,5249239,5249240,8179661,254518241,2766023,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,990808,557284,557283,990806,1743686,2777842,2777844,3206766,3206765,3242023,1902423,1615030,918539,918538,1613550,917831,917830,1613544,2781676,3213291,4619594,2781645,1613530,917823,517733,517734,917827,1613538,2781661,4619622,7314868,7314867,7304598,4609069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7893232, s2 = 13164094, dlinesl.size( ) = 2 s1 = 7893232, s2 = 13164094, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7893232, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 11007286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007286, s2 = 8057327, int(edited[s2]) = 0 s1 = 11007286, s2 = 8057327, d1 = 1, d2 = 5 Dl.O(d1) = 10014257,6581804,6581805,10014259,14553960,20283793,15823582,15823583,21903702,29218017,30215420,22823285,22823284,30215419,37960818,37774610,31627009,24121595,24121594,18827397,255509696,2248157,1304061,744076,422635,422634,744073,422682,238667,131868,131869,238671,422989,622833,622834,1109819,744261,422736,422735,744256,1304337,2248545,2743441,1589974,1589975,903921,903917,1590008,2743503,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285755,509769,903847,1589877,2698226,1914992,1914995,3259444,3244429,1904192,1087066,1087068,1904202,3198670,3198666,5239574,8170592,5298429,3249317,1907676,1089181,1089182,1907681,3249336,3358861,1974663,1127301,1127300,1974658,3358851,4831269,3254187,3254186,4492659,5290905,5290904,7255182,4575685,4575684,4734845,4490201,2697637,1562707,1562708,2697643,4490208,7132200,5273080,3227383,3227384,5273084,5308156,5319189,5302799,4611672,4611673,5304639,5304638,4831793,4831792,7637335,11482650,8207545,8207543,8247963,5462530,3358691,3358690,5267620,3223817,1889684,1889683,3216304,3252278,1918599,1095936,1095934,1918598,3232648,3232539,3232540,3222624,3222625,3222789,1889039,1889040,3222792,5255196,3214976,3214974,3263215,5235746,3195887,1870759,1067134,254180337,3195891,1891375,1891374,3226124,5256454,3212650,1881868,1881865,1907477,1089066,611457,340098,340100,611462,1089070,1089328,611606,342558,342560,616245,1097833,1920212,2996471,1740190,1740193,1097172,615894,615891,1097163,1911066,1911067,3253849,4958497,2993873,1738505,987923,555812,310853,171853,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906788,2775871,4610349,3243495,3243496,5292118,5273864,5273861,8198443,8198442,11027496,7318913,4957816,4957817,5290800,8220918,8227313,12167591,8199219,5269717,3224362,1890083,1078506,605732,605729,605949,1078884,1890657,3225153,3231742,3231743,254518967,5269710,5269711,7323767,5249322,3206963,3206965,1878126,1071478,602089,602088,1071472,1878114,3206983,1894935,1894934,3225764,3225763,4610379,4755070,2865836,2865839,2788551,1617833,1617837,2772366,2772362,4606302,7301868,5271940,3226428,3202621,1875255,1069756,1069760,1875264,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291149,5301106,5301102,7928731,11026067,8229844,5301126,5277857,5277859,5016818,3034836,1766361,1766362,3034843,5016833,7895897,8211049,8152836,5223882,5223883,8152840,12121006,8184638,5254242,3210864,3210866,5254245,8184641,7323491,7323492,11046398,12151877,8182271,5252023,5252024,8182274,12151881,16990489,16990488,15658113,10839185,7165447,4512976,4512977,7165450,10839190,15658117,15861620,11721105,7823418,4965256,2998924,2998922,4965251,5304885,8232803,11723944,7826518,4967704,254554755,11723939,12119192,11721948,11721949,16768313,16770115,12154113,12154114,17274743,255096528,12117595,8148619,8148620,12117597,12118222,8150175,5221623,5221622,8150174,7324910,7324909,11039904,11039905,11473157,8232767,5304849,3255524,3187405,3187404,5224946,5222001,3185539,1864200,1864201,1906259,3247355,5219987,5219985,8146616,8146617,8454482,5461798,4966280,4966282,7824627,11722053,14519345,9990625,6566153,6566154,8183476,11720810,7823020,4964908,2998736,1741599,1741598,2998733,4964899,4965813,7824073,7826731,4967884,3000520,3000519,4967882,7826726 Dl.O(d2) = 7492296,254586073,5315064,8205010,5276359,3230569,1894583,1894584,3230573,1912173,1092027,1092026,1912171,3255286,2853741,1656062,942294,267766545,2853735,4735477,3247133,3247134,3233864,3233865,267907045,5288293,5264741,5264742,3247585,1906403,1169327,1169328,2040489,3446209,5242024,5256820,3212958,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,610002,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3269847,5265876,5246204,3217593,2785400,2785399,4625190,3249116,3249113,1907533,1907318,1088973,1088972,919453,518531,518530,919449,1616511,2786581,4626589,7325796,7308675,7308674,5307769,3257876,3257875,5261854,4615359,2779198,1612255,1612253,1090341,1090342,1077737,605332,336897,336898,605334,1077744,1888728,3222449,3243493,3243496,5292118,7326183,11050818,8187995,8187994,7324212,4625197,4620087,3213193,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781256,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,5224013,4512933,4512932,7165380,7928728,7822710,5223272,5223270,4616910,2780124,1612772,917465,917464,1612768,2780109,4616877,7314051,11039655,12121027,8152865,8152866,254781702,8181886,12151552,11946155,8146696,8146695,12115976,15922085,15786346,15786345,254535442,8150632,5221999,3185539,1864200,1864201,1906259,3247355,5219987,5219988,8148094,7977187,7977188,8151838,8239764,5311979,5311980,4611275,4611278,2776477,1610644,1610643,2776475,3446128,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244729,8175147,5464163,3360062,3360061,5464158,5341240,3282964,1930791,1103075,1103074,1930786,3282951,5341216,8278175,8183828,5253429,5253430,4615156,4615154,4966036,4966035,3204765,1876626,1864749,1063785,254180031,3186571,5223613,4963583,4963582,7821464,5262679,3217917,1885490,1885492,3217920,5262690,8193078,12156784,8187324,5256815,3212952,3212950,5256812,8187318,8244260,5315962,4734306,3269682,3245728,3228306,1893026,1080340,1080341,1096047,1096048,1918792,1905821,254133661,611404,1088972,1616520,2786596,4626629,5301225,3251909,3251910,3223215,3223213,3206356,1877686,1071211,1071004,601821,335189,184319,184315,335180,601850,1071048,1071112,601888,601889,1071114,1877529,3206108,5248228,8177820,8177821,8177681,7999439,5092326,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301557,537881,953847,1675734,2887267,4790042,3303559,254401727,254269927,1943419,3303547,3303563,1943431,1943432,3303564,3757074,4026753,3754357,3754356,3302702,1942666,1109746,1109745,1942661,3302698,3303079,3302460,3302459,3756537,2249927,1305353,1305352,1419544,2455704,1428233,812475,812477,812438,812437,254501679,2670782,1546930,879249,879248,1546928,2670778,4445897,7061594,10634192,10634191,15387659,21367304,28246689,21046735,15117540,15117541,21046738,28246694,36742512,28246676,21046729,21046728,25840787,19187093,13702888,13702889,16578049,16578048,22794658,28229603,28229602,36723346,257409715,51600253,41375269,39131792,30533184,23114543,23114542,28991833,21707612,21707613,28991835,30533158,30533159,39131769,37536957,37536958,257007789,30532946,23114358,23114359,30532948,30612739,30533044,30532957,23114365,16855191,16855190,16855244,11788259,11788258,16855239,254969288,18041427,18041426,16927457,16927456,23195172,23114407,16855225,16855226,23114408,30533011,30533006,30533005,30533043,256463403,269343411,48253894,59640585,60064214,60538955,49217146,49217147,60617881,258523064,44790430,44790431,55697753,49061451,39131646,38669114,30091969,25407565,22102641,22102640,29435043,37997647,47913544,59307683,72043074,259590387,89693781,258337733,51264821,41087670,32279743,24671446,18207962,12914452,12914451,18207960,24671443,32279740,256587299,24672393,18208603,18208602,24672391,29459086,38020950,32279727,32279728,256366176,32280936,32279632,32279633,24671431,24671425,18207949,12914446,8785032,5721677,5721678,5721824,3562196,3562197,5721827,8785291,12914885,18208608,18208773,18208774,24672586,32280014,41087925,257657146,62938405,55222191,44371049,34992623,34992622,41087947,32280036,24671702,18208141,12914585,254628593,5721726,8785118,12914588,18208147,24671717,32280063,41087976,51265090,60090370,48694122,38772154,30188708,27164190,22798995,16582140,16582139,22578173,16395276,11411547,11411548,16395281,22578177,29941215,38504882,29941192,22578154,22578152,22676190,22676189,30052206,34992362,34993189,44371585,55222628,67565954,67565273,256839134,44372223,34993781,34993782,44372225,44371583,34993188,26911834,20027618,20027619,26911836,34993189,44371584,44372216,256212455,26912371,26912359,20028035,20028034,26910641,20026646,14344095,9854881,6473433,6473432,9854879,14344090,14344078,9854866,267870537,2428203,2428202,4056709,6473424,9854859,14344073,14344826,20027619,23670854,17351936,12223671,12223670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007286, s2 = 8057327, dlinesl.size( ) = 2 s1 = 11007286, s2 = 8057327, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11007286, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 14027014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14027014, s2 = 8307760, int(edited[s2]) = 0 s1 = 14027014, s2 = 8307760, d1 = 17, d2 = 13 Dl.O(d1) = 255068985,22017882,28836396,21564893,21564894,28836399,37376595,29450343,29450342,38012468,47926868,255116202,30224142,38807210,48727845,60122720,257565984,270860076,38807613,257565983,259422439,114437718,128314456,262750703,273558367,175449613,164692066,152856433,140162829,126812703,112958690,259462376,58743236,257026902,255979992,15603446,10794610,7131951,4490013,2697516,1562623,888360,888361,1562625,942461,254167223,267825999,254160719,888136,606614,337561,337560,254133047,1079867,918931,518257,290682,290681,518253,918922,1615742,1911561,1911560,3201132,2788698,1617907,1617906,1875381,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882522,1914005,1871964,1871963,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914887,518376,290733,160892,160893,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,1609298,2774362,1878713,1071792,1071793,1073985,603397,267754775,1882481,1878039,267754719,602064,335387,184413,100993,100994,55698,55702,101044,184516,335587,602584,517070,517071,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783687,4622776,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1608834,254233089,1879427,254262569,5251823,4622231,4622232,7320840,11046216,15923639,15917308,11039346,7313725,4616669,2780014,2780013,4616667,3207297,3207296,5249688,8180013,8194159,254581397,3219034,1886233,1886234,1886242,1886239,3219046,5263947,7317130,8258709,8258708,12119022,12137860,12137861,12150502,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,5235591,8165849,8258926,8258928,7307999,4612016,4612015,5253754,5253752,8153382,5224336,254577625,3196884,5237047,8167376,12137408,17257492,12201172,12201171,17326410,23568925,23621442,17306913,12183911 Dl.O(d2) = 3196789,3224591,1890259,1890263,2804527,2804528,254523575,3203931,3203930,1922717,1098431,254183743,254397665,8222990,254761189,5262850,3218089,3218090,1921398,1921397,3268214,5319367,5283415,5283416,8197451,8197452,8248992,8239733,5311886,3261729,3261728,5311883,8239731,12144754,8174457,5243987,5243986,5291064,3259681,1915194,1915193,3221330,1887884,1887883,3221327,5266544,8196572,12165274,8246200,5317810,5317809,8239174,7574616,4790706,4790707,7574618,8218851,11399055,16378851,17264236,268250077,4303115,6856671,9796671,6439925,4039415,2420366,2420367,4039417,6439929,9796763,14253255,19896855,14253551,9796998,9796999,14253553,16738549,11694873,7800001,4946321,2985334,2985333,254247761,1733213,1733141,985300,254172091,2985220,3415325,3415326,5529368,8530802,5528805,5528808,8092185,11236258,11236257,16168611,12312571,11238505,8545059,8545058,12593900,11237563,7458439,4712921,2839220,2839219,4712916,7458431,255086953,22314829,17414871,12273721,12240684,8266213,7455966,4711092,2838070,1646386,254124165,527565,936168,1646368,2838039,4711039,7107525,4710957,4710958,4711729,4711730,3285841,1932339,1932341,3285819,1932527,1103864,1103865,1932529,3286205,5347170,8288754,11234473,11234474,16167007,11587552,7713092,7713091,11587550,12564013,12564014,17756005,12676857,12676858,12577580,8530821,5528820,5528821,8530823,12577581,12036683,12036682,8524654,5523410,5523411,8524657,7456482,4711494,2838325,2838324,267891079,5540895,3426218,2024550,2024549,3426214,5540889,8543102,12591745,9190534,6016161,6016162,254416387,3404179,2007637,2007639,3404182,3471612,2943634,1707022,1707021,1159836,1159837,2026231,1161164,651583,651584,1161168,2007900,1148035,1148037,2007893,3404537,5517846,5531819,3425356,3425355,254282417,2011736,1150502,1150501,2004668,1145909,642805,356787,356786,642803,1145903,1141208,1141210,1996858,3038556,1769182,1008264,568272,568271,567111,317617,317616,317484,175522,175524,96478,96479,175557,317554,567001,637510,357357,357356,643837,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660485,637390,353984,194105,194103,353972,637354,1135984,1988231,3377578,3423100,3395279,2044359,2044361,3401757,2051959,1177033,1160503,651198,361178,361181,361294,197785,107823,107822,197779,355293,640007,1140879,1996334,3388619,5498994,8497633,12535972,268002463,8497630,12535968,17719556,24076321,31581983,40268900,47321785,58710912,47321778,47321777,58710905,50290116,40268897,31581981,31581980,40268894,256137640,38254325,36964790,36964791,37854727,30862311,23432322,17156116,17156115,12278839,8292509,5349867,5349866,8292506,12278834,17421169,23746459,21258373,21258372,28477354,33366989,33366990,33366998,25602504,18990246,254951744,9276850,13551089,18990249,25602510,33367011,42355798,52755179,64670184,77860077,270023062,258441682,70965366,84528889,85872485,73460748,60712795,49310728,49310727,60712794,64670157,73437429,60689054,60689055,73437431,86255708,72654419,72654417,84446223,84446224,87055569,87055570,258768552,257535420,49310735,49310734,60712805,73460765,86047009,86047008,86255680,84446216,70889028,258658017,59913809,48520382,38605301,30759615,30759616,268973381,48520370,38605293,38605294,48520374,59913792,72654401,73357814,60613260,60613259,73357810,86969038,73437454,73437456,87055553,101051835,258242612,86255703,258865292,259455038,86255686,72654399,59913786,59913785,72654397,86255684,100222526,101039947,259408071,86255678,100222500,270846106,87055566,98355850,98355851,112338566,114256108,102061258,102061259,116119114,128142202,114256072,100222501,100222503,258082494,92529829,94445246,94445247,86255630,257050764,50197363,50197362,61680485,74463234,88075396,102061264,116119124,114256127,100222577,86255749,72654457,59913829,59913828,72654455,86255742,100222570,258782843,72654483,83938505,83938504,83938534,72654482,72654481,70412393,57718314,57718313,70412390,83938500,70412399,57718318,46368807,36510472,36510473,268954313,48520463,48520464,59913923,70412396,72654522,70412424,57718347,46368828,46368827,57718345,70412421,70412417,57718342,57718341,70412416,83938531,97797532,83938477,70412361,57718336,46368821,46368819,57718292,46368780,36510457,28046647,20878728,14976842,14976841,20878724,28046641,256411152,57718264,70412344,83938461,97797524,111720328,97797564,86015080,83938538,83938539,97797521,83938458,70412336,268639424,59157921,60122679,48727811,38807163,30224070,22832081,16610967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027014, s2 = 8307760, dlinesl.size( ) = 2 s1 = 14027014, s2 = 8307760, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14027014, Dl.E( ) = 18, 1.6e-05 seconds used appending s1 = 10155738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155738, s2 = 14162375, int(edited[s2]) = 0 s1 = 10155738, s2 = 14162375, d1 = 16, d2 = 11 Dl.O(d1) = 4609779,3229242,1893654,1080746,606990,337747,185526,185527,337751,341543,187380,187378,341540,614324,254183241,3260661,3268665,1921753,1921752,3268662,4606184,4606185,5270549,5270547,5242206,3201002,1874114,1069083,600824,600823,1069080,1874108,2996250,2996251,2853134,2853135,1740191,1740193,1097172,615894,615891,1097163,1911066,1911067,3253849,4958497,2993873,1738505,987923,555812,310853,171853,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248126,4606303,2772363,2772362,4606302,7301868,5271940,3226428,3202621,1875255,1069756,1069760,1875264,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291149,5301106,5301102,7928731,11026067,8229844,5301126,5277857,5277859,5016818,3034836,1766361,1766362,3034843,5016833,7895897,8211049,8152836,7895852,7323863,7319184,4620943,2782550,1614045,1614044,2782542,1615380,1615382,2783478,1614554,1614558,2783491,2998871,2998869,2783588,2783590,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,7316813,4618939,4618938,7316816,11042232,7323799,4624794,4624793,3034772,254374435,7831449,4971207,3002682,3002681,4971205,4968332,4968333,7511328,5223914,3186753,267840581,7317340,5219846,3184183,1863499,1063199,597638,333088,183343,100497,100498,183346,333094,254132053,267797065,5219946,8148039,12117107,17234745,12115873,8146517,5218671,3183455,1863107,1063007,1063009,1741464,989582,556667,556668,989588,1741477,2998509,4964521,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,5281700,8210678,11719418,8198427,5296717,254561667,3051474,1777637,1013461,254174801,3051482,5040281,4676205,4676206,3240007,1919139,1096254,615417,615418,616147,1097665,1921487,3268349,5314736,5314738,254396529,3258494,254581123,3216426,1884397,1075048,603944,336230,336229,603941,1075046,1884395,3216424,4627396,2787257,1616957,1616958,2787262,4627404,5263244,5263243,3269986,1922810,1098480,1098481,1922814,1896880,1082665,1082664,1085785,1085784,1902118,3229201,3266581,3263748,3220682,1914122,1093158,1093160,1740194,988893,988892,1740193,1097172,615894,615891,1097163,1911066,1911067,3253849,4612819,4612818,7308754,11033883,11714143,11030221,7304792,4609250,4609253,3220459,1887266,1076774,1076775,1887272,3220463,5265598,8195575,8200537,5271238,3225697,1891044,1079117,606106,606102,1079106,1891028,3209845,1879975,1879976,2784304,4620375,2782163,2782162,4620372,7318554,7318219,4620092,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781256,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,4512921,7165358,5222015,3185562,2998687,2998686,4964828,7822938,5307592,4616361,4616364,3187321,1865151,1063961,1063963,1865158,1742206,989931,556820,556819,989925,1742193,2999919,4966893,7825488,11723045,16769168,17235791,255112188,5220362,3184527,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888751,2888752,4792383,5289420,5289419,8219367,7820928,4963050,2997389,2997387,4963046,3246314,3246312,5295178,4963458,4963457,3359223,1974896,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740076,1909271,1909273,3251374,5300532,268107457,5297273,5297272,8197671,8222722,267907605,5299534,4961581,2996201,2996203,1740469,1740470,2996864,1870928,1870925,3196150,2889053,2889051,4792809,7305006,7305005,4958128,2993509,1738223,987759,555730,310822,171847,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065 Dl.O(d2) = 3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335260,184352,184348,335249,601978,1071259,1877774,1617737,1617738,2788391,4628840,4791413,5861920,7577469,7577470,7574588,4790682,2887716,1676016,254085272,4790689,3359338,3359340,5040015,3359454,1975060,1974614,1974616,3245471,3245469,3328644,2854845,1974413,1974414,3051339,3203195,1919256,1096326,615463,254134103,615417,615418,616147,1097665,1921487,3268349,5319531,8246075,5464014,3359958,3359957,4461608,254584253,3245532,1904991,1904990,3245527,4675938,2816954,2816955,1908824,1089970,1089971,1908826,3218779,1886069,1089965,1089966,254265763,3262382,1917090,1094972,1094971,1917085,3216513,1884458,1075081,1075080,1655666,2853103,4734691,5241258,5279180,5303250,5241450,5241451,5302302,3253106,1910496,1910497,3253109,3202931,3202930,3245550,5294371,5245330,3203775,1876041,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259730,5309597,5319365,5319364,8224432,8224431,8237744,12170631,8228353,5299421,5299422,8228354,268251325,23566041,23656300,17339484,268250297,12151557,8181902,254395771,3251311,3268635,1921730,1097831,1097833,1920212,2996471,1740190,1740193,1097172,615894,615891,1097163,1911066,1911067,3253849,4612819,4612818,7308754,11033883,11714143,11030221,7304792,4609250,4609253,3220459,1887266,1076774,1076775,1887272,3220463,5265598,8195575,8200537,5271238,3225697,1891044,1079117,606106,606105,1079111,1891038,1902833,1086241,609945,609944,1086236,1902825,3242570,5256850,5256849,7302154,4606575,2772603,2772604,3225181,2885926,2885927,2996597,2996598,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,3214147,3261057,3214749,1883282,1074451,1074452,1883298,1885981,3218649,1916285,1094449,1094447,1916282,1871990,1067761,600109,334317,334316,600106,1067755,1871979,254348455,2788139,4628477,7327603,11051562,15928293,17278707,12208284,12144533,12144534,8178002,5258607,3214359,3214357,5258596,4720069,2843717,1649666,937993,937994,1649669,2843684,2889154,1676853,954025,954027,1676859,1676910,2888902,2888903,2026781,2026783,3411996,5525514,5018446,3036234,1767368,1007102,1007100,1767367,2820070,3423752,3038944,3038943,2018193,1154601,1008406,568360,318347,175955,96695,53268,29948,29949,29925,29923,53189,96520,175644,317743,567323,1006633,1149466,644827,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021898,2021897,3422850,3444932,3444931,3454144,3451716,2045061,1172504,1172501,1171539,1171540,2042684,2021744,1156898,649073,360068,360066,649069,1156891,2021737,2044623,1172217,657978,364716,364718,657992,1172242,1991390,1941980,254269739,267909779,12322655,17477824,23811689,17477823,268219117,11022270,267888011,1605836,1605835,2769541,4602673,7297428,11022256,15899502,21998892,21864893,15791676,10955481,7723484,7723485,267835809,3031089,5012579,7891798,10940380,7239709,4564250,254514315,10941046,7245977,4883095,2942420,1706381,969977,546297,546299,969983,1592384,1593146,2748705,2748277,1592861,905544,905543,1592858,2748270,4569324,7247074,8508806,7095290,7095292,7244704,4570579,2749258,2749259,1593565,1593566,1593244,905766,905764,1593236,2748852,2747227,2747226,2688429,2606658,1504249,1504248,2606657,4352347,6927936,10506257,10525137,6941483,4362426,2614253,2614255,4362431,6941490,8333487,8333486,6937028,4359139,2611847,2611846,4359136,6937021,6939302,6939304,10522145,12672938,10522302,6975301,4382005,4382002,4361220,4361219,6939903,10522980,10525153,15255985,12683949,8615403,5600251,254318126,10547202,6955965,6955964,10547199,13850749,19363945,14064308,14064309,18776109,13371749,13371748,256987467,16628736,22854052,28868236,21593545,15566959,11161615,7403666,4677275,4677278,7403680,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,1939469,1107841,1107843,1107822,1107821,1939431,3297584,5364088,8313177,12307814,16072707,11161057,11161056,16072700,22201929,29545264,38108471,257477768,17519874,16850047,16850045,17724432,12692829,8622668,8622666,5776988,3599466,3599464,5777006,8430010,8430011,7938217,5048285,3058313,3058311,5048274,7938192,11874991,12697692,8626511,8626512,12689340,8627007,5609506,254284510,1187547,1187546,2068482,3483873,5609498,8626997,12698348,17922149,24306127,267850056,17907698,17907697,16636226,16636227,16636527,11605045,8625022,8625023,12695756,16636603,17925310,12700763,11604542,7725094,254260278,2946694,3174329,3029402,1762669,1004218,1004217,1762666,3029394,3029370,3029371,5010039,7888414,5202297,3173893,3173894,5202303,5608667,5608680,5608679,7627743,4826046,4826047,4826058,4826060,7627771,7888569,7888570,8622867,8623207,5606512,5606514,8623222,8619948,5604081,4889927,4889925,4889855,2946745,2946746,4889859,5610937,3484992,2069346,2069345,3484968,5610896,5610855,5610856,7725101,11604553,11604817,11604818,7725326,5606373,5393636,5393637,3481288,3481289,5606361,8623044,12693370,8624194,5607349,5010111,3029420,1762678,1762679,3029428,5010120,7888559,11809853,16458150,11604680,11604679,11809868,16879989,11809919,7888609,5608903,5608904,4644617,4644616,7352859,7352848,7352847,7725257,7725259,7890971,11812686,12700836,11604804,11604803,16636267,17921890,16880078,11809954,11809955,16880081,17916050,16880064,12366350,8356211,5393628,5393629,5393644,5393643,8356240,8626066,5608743,5608744,8626073,11809824,7888537,7888526,7725191,7725193,11604673,16636125,17533234,15528430,15528429,16636130,17110516,12697276,8626234,5608909,3483298,3483299,4644621,4644622,7352867,11087463,12077286,8121253,5202901,5202899,8121247,12077187,12077188,8626848,5609362,5609363,8626853,12698162,17921901,16246090,11294848,11294850,15199392,10483342,10483343,11809838,12366363,12366385,17533225,23878270,24304059,22863184,22863185,30258967,30259057,22863299,254422890,17921398,24305244,26379320,34256792,31822366,254422852,17921910,19645248,254618270,19645249,19645250,254194408,8083809,5179542,3160332,3160331,5179538,8083803,12024048,12698166,8626856,5609368,3483713,254108604,8626860,12698172,17110514,267803660,23878274,23878275,21154748,15199321,15199318,21154696,16195519,16195521,22344809,23454241,19669095,14099386,9697517,9697518,8626564,8626562,12697771,254617952,26379315,26403514,19669086,14099380,14099381,12697748,8626557,8626558,12697755,12697730,12697728,17921405,24305260,24305744,24305745,29782656,22417059,16251768,15971625,11086424,11086426,11086383,10863311,7182386,7182387,10863317,15208037,10490526,10490524,15208026,21164579,23143692,30560675,39157874,38224356,38224357,255596328,24305521,24305522,29636105,22284409,16141072,16141071,22284406,24150074,24305789,31822370,36795898,28371721,21154701,21154700,21743064,21154771,15199334,10483300,10483298,255205018,11088757,8626478,5609048,3483377,3483376,5609043,8626472,8620308,8620307,12689708,11088226,7353495,4645031,4645032,2802789,2802788,4652645,7365264,11088652,7353875,7353876,11088656,11088195,11088194,11088464,7353692,7353571,7353570,11088321,8538125,8538126,12585736,11086456,7353738,5536098,3421520,2020782,2020781,3421529,4644741,4644742,7353053,7353003,7353002,11086591,7353015,7353014,4645213,4645214,2798209,2798208,4645407,7353994,11088762,15973974,15973889,15973888,15973557,11088216,7353490,4645029,4645028,7353485,11088206,11085964,7353869,4645316,2798157,1623168,1623167,2798023,1623092,922965,922964,1623088,2798011,1644932,1644933,2835458,4645199,2798086,2798085,4645195,5536091,4653270,4653269,7365842,7353033,7353032,7353244,4644856,4644857,7353246,11083395,7353786,4645235,4645234,4645240,4645381,4644465,2797647,1622874,1004204,922722,922721,1622623,1622844,1622825,922840,520262,291668,291667,520255,922830,922743,922744,1622672,2797314,4642165,4642167,4643771,2797219,1622610,1622609,1762542,3029174,5009694,7887915,11809016,11809529,7891499,5012337,5012338,7890269,7887044,7353219,7352427,5011272,3030133,1763072,1763071,3030129,4643870,2797279,2797277,3167919,4642177,4644257,4644259,4642087,2797231,1622617,1622618,2797236,4643793,2797507,1622784,922813,520247,520250,922821,1622794,2797524,4644267,7349390,4641947,2795876,2795878,4641951,4643778,4643777,5009689,5009948,3029304,3029302,5009942,7888299,11809530,16877915,15972379,11812474,11812473,16882925,16882918,11812468,7890736,5011686,3030415,1763231,1004508,566051,566054,1004523,1763261,1004529,1004528,1763275,3030479,5009111,3030233,1763127,1004453,1004455,1763133,2764141,4594632,7285921,11006237,11006181,7285877,7285876,11006177,11813136,15877630,15877629,21971398,29298205,21971798,21971797,22852614,16882939,16882938,22078013,21971423,15877667,11006208,7285898,7285899,11006210,13197967,13197968,15878147,15878146,15210678,10492326,6918782,6918781,10492324,7349381,7349379,7887822,5009618,3029131,1762518,1004135,1004132,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,7286037,7286490,7890819,7286571,4595098,4595100,7286580,7286313,7286309,7890665,11812387,10487486,10487485,11006104,15877594,15205283,15205281,15967572,11082969,7349143,7349144,11082972,15967574,15207819,10490316,10490317,15207821,15878034,11808981,7887870,7887869,11083953,11083955,11084820,11808822,11808820,10489741,10489740,11812285,16879009,11808898,11808899,15967881,11083359,11083360,15204994,15204995,15877868,15877869,15877814,15877813,21971553,29298343,29298348,29403229,29403230,30555644,29403145,22072750,15967765,11083234,11083235,15967767,15968514,255019246,7888125,7888126,11809307,15205243,15205244,21161608,21164401,21164402,22077617,21161248,21161250,15685227,15685228,21733395,21971667,29298418,29403136,29403945,22852597,22852595,29403180,29403179,30246962,27991690,20827286,20827285,21163343,15206856,10489410,6916404,4344414,4344413,6916399,10489403,15206372,16879471,16879470,23139757,22072942,21163298,15206823,15206822,20998693,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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10145936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10145936, s2 = 11654145, int(edited[s2]) = 0 s1 = 10145936, s2 = 11654145, d1 = 1, d2 = 2 Dl.O(d1) = 5331233,5331235,5326634,5326633,3277811,1927990,1101568,1101567,1927989,3277810,5332579,5489076,8488076,12240562,8266810,8266807,5360301,5360300,8307642,12300266,17449173,13442361,9191640,6017224,3764161,2255291,2255292,3764164,6017232,9191645,13442366,254874151,8582178,8609306,12238547,8264174,8264173,8526205,5524817,3411284,3411285,5524820,8526212,12572049,11230956,11230957,16163930,22310700,17780049,12583283,8559937,5556998,3441506,3441507,5557001,8559942,5576609,5016203,3034265,1765947,1006233,567092,254087747,96489,53173,29897,17162,17161,29895,53170,96479,175557,317554,567001,637510,357357,357356,643837,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660485,637390,353984,194105,194103,353972,637354,1135984,1988231,3377578,3423100,3761709,2253481,1307828,1307831,1145148,642389,642390,1145152,2003236,2061082,3375779,3433141,3390588,3390587,5501071,6016823,5506977,5506978,3428059,2026225,1159834,1159837,2026231,2028090,3388247,1996070,1996069,3388244,5498525,8485899,5486797,3377632,3377633,5486801,5016141,3034215,1765919,1006216,567085,567086,1006220,1765925,3034222,5016149,7895267,11817263,15515575,21528435,28793232,25449282,25449283,33195125,42154295,42154303,255328908,24091689,17733994,12547295,8506556,5507019,3395708,3395710,3450457,3435274,3435275,2044028,2044030,3450525,4029981,6423702,5513334,3400422,3400423,3409936,3381846,1991436,1137973,1137972,1136301,1136302,1988723,3378230,2012265,2012263,3410219,5523604,267811813,2264507,2042535,2042536,3448825,5565209,5527606,3413648,2014809,1152439,1152437,2014804,3413640,3426842,2025140,2025141,3426843,3409168,3407100,3407103,5520366,8493513,5500045,5500046,3448136,3448135,5494693,3384798,1993556,1993555,3384790,5494678,8492096,5598536,5594680,3471254,3036742,1767745,1767744,2045733,2045735,3452666,3418541,3387684,1995678,1140486,1140484,1164027,1164028,1140854,639993,355286,355287,267756093,648224,1155382,1164342,653393,362290,362291,653397,1164346,2007294,2009849,2041185,1990682,1990678,1156636,1156631,1176619,660489,660485,637390,353984,194105,194103,353972,637354,1135984,1988231,3377578,3423100,3395279,2058589,1181196,1181195,2025662,1159430,657801,364643,364644,657805,651887,361524,361525,651890,1161722,2028928,1168209,655654,363523,198892,198893,363527,655662,644897,357873,357872,644893,1149600,1166037,1996998,3389443,3440122,3439859,3439858,3414950,3414951,5529066,8531066,7894190,5015014,3033194,2006124,2006125,3396201,5507552,5513659,3457429,3457427,5508722,3400706,3400705,2005191,1146244,643000,356895,356894,195539,106753,58728,33055,33056,58731,106759,195552,356941,643071,1007825,1007828,1150734,2010184,1149471,644827,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142970,1999688,3393100,3471432,3471434,5594798,7895542 Dl.O(d2) = 269880081,21887142,17734210,12547538,12547539,11832175,7907384,7907383,7239374,254343501,1590773,905362,510614,286225,158174,158175,286226,510569,286205,286203,510565,254162885,2747375,4567981,7238117,4563083,4563082,254514703,4567747,7244903,10947924,15800478,21872061,15808046,10954194,10954195,256330909,261112713,273855924,264965333,264705567,205901933,263827889,263062581,273690623,264444405,192453036,263062583,163488072,151608058,263827891,183990170,174331663,163488072,263465361,199739285,274350592,199739285,264941713,264941711,264153137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10145936, s2 = 11654145, dlinesl.size( ) = 2 s1 = 10145936, s2 = 11654145, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10145936, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 10983148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13297937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6790308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9803637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13200333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8146496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8146496, s2 = 14198344, int(edited[s2]) = 0 s1 = 8146496, s2 = 14198344, d1 = 0, d2 = 7 Dl.O(d1) = 16564669,16564671,22780030,26392664,254360796,34263968,26386492,26386491,31608544,26385060,19650589,14084982,14084980,19650580,17841743,17841746,17840207,17840206,20167950,25572611,18963649,18963646,25572601,24215532,22081170,19663801,19660193,17266429,17266428,17267363,12637369,8580252,6373118,6373117,9688883,14086035,14229033,9781681,6431218,6431220,7744130,7744132,11625894,8578191,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089198,12032561,12145984,17116899,15604198,10795266,7132509,4490431,2697785,2697784,4490426,6374052,6374051,9690624,9694113,9695344,9695345,11838482,14088593,9694135,6375926,4000460,2397395,1387339,1387340,2397397,254463695,9693952,14089147,19656045,26390392,29503199,22163698,22163697,22597077,22597078,16916760,16916761,20795875,27957398,27957343,27957342,24106416,17747640,12557634,12557635,17747642,24106418,26396671,19662552,14094122,9693847,6375780,6375781,9693851,9695248,9695249,14096381,18462665,21774561,21774562,16914573,11837628,11837627,16914569,12030750,12030669,12030670,17119742,23178458,16913572,16913571,17441223 Dl.O(d2) = 254885584,13371644,9139000,9139001,13371645,18776003,18778157,18778158,25360633,24283522,17902775,17902774,24283520,24022876,255326339,9891106,6499479,6499480,9891107,13374957,13374960,15697521,12624243,12479450,8450266,5458429,4482649,4482647,7119614,10775413,15577340,13373583,9140475,5981452,5981453,9140479,10775843,7119873,7119874,10775844,13373460,13373461,12480746,255187729,12453134,8421433,5435448,5435447,8421429,12453128,17631377,17902908,17902778,17902777,24283524,17903102,12682762,12480605,8451519,5459446,5459447,8451521,12480607,9140103,5981210,3740142,2239137,2239138,3740143,5981212,8614013,8614012,12682380,17902795,23966006,23987523,17641700,12466461,8435397,5446222,5446221,8435395,12466458,17641698,256027203,17641649,17641648,23987487,255186339,8451522,8451523,255182765,8407901,5425527,3335266,3335265,5425524,8407895,8451727,8451728,12480705,12480706,17644902,12471004,12444201,12444200,8439782,254860213,5459437,3356562,1973269,1973271,3356574,5422462,8403254,5599378,3475705,2062276,2062273,3475670,3475669,5599321,5457329,5457328,8449036,5457312,5457313,8408035,8408034,12439590,10578958,6978554,6978552,10578955,15316758,17618957,12436991,8405604,5423964,5423963,8405603,8444951,8444950,12454170,12454171,17632253,15965093,12481489,8452453,8440425,5449925,3350263,1969688,1969690,3350270,5449934,254860303,12470903,12481468,17644852,12470924,8440110,8440109,12444851,12444853,254860711,5427044,3336194,1962042,1120777,254186699,3336192,5427040,8410052,12441696,12470683,8439818,5449485,5449486,8434994,5445869,3347854,3347855,5429469,3337684,1962840,1962487,1120996,1120995,1962358,1962357,3336758,5427931,5441012,3344805,3344806,4562731,2743921,2743920,4562727,7237506,8419565,8406724,8406722,8441566,5452379,3351871,3351873,5452388,5425449,5425447,5448714,8438665,8412451,5428866,5425482,5425483,8407832,12439367,17620900,23970287,255575207,12463627,255185609,255160409,8405877,5424152,3334447,1961088,1120281,1120279,1961069,1965920,1965919,1965957,3334370,3334369,3342030,3342031,5436440,3348991,1969043,1124415,630649,630650,1124419,1969050,3349002,5447725,8437353,12447927,8431807,5443337,3346286,1967561,1967562,3346291,5443346,8431823,5457494,3355222,1972468,1126149,1126148,1962035,1120774,1120776,1962041,1968247,1968248,3339654,3336994,3336993,5428319,3350538,1969842,1969843,3350544,5439173,3343619,3343620,5430035,8414115,8414117,8407504,5426602,5426606,5437673,5450159,5450153,8406318,254856277,8424494,5446068,5446069,5982349,267929785,13375391,16117312,12476928,12460560,8429329,8429328,9137971,5979810,3739339,267778841,740897,421093,237642,237643,421095,740902,1298207,2238701,254442615,8436269,5446887,5446888,8436272,10578929,267881821,2626389,2626390,3351288,3351287,5451471,3739367,3739368,5979857,6978535,8442226,7892693,5013376,3031691,1764061,1004989,566308,317151,317152,566311,1004996,254231345,2750796,2750795,4571040,4571039,2942407,254231209,1592384,254231279,1592117,905148,510501,286169,158151,158152,286171,510505,286269,158203,158204,286271,510710,905569,1592844,905537,905536,906023,510957,510958,510973,510971,906087,1592601,1592600,2747824,4568599,4564119,2744882,2744881,1592678,905443,510652,286241,286242,510656,905454,510925,510926,906000,1593718,1763793,3031293,2750612,2750613,4568118,2747601,2747602,1593260,1593259,1593364,905825,510842,286344,158241,86952,47812,47813,86959,158261,286375,510749,510747,510779,905695,1593112,1593451,2749240,4467009,4467011,2745395,2745394,4564871,4570449,4570450,7248354,7249759,4571529,2749973,2749972,4571527,7249754,255060653,255868799,37757199,257484667,71820656,85409121,99352349,113354018,123555129,259998456,271167855,89398965,258326597,51063887,40923197,32145702,24562888,18123549,18123550,24562890,32145704,40923202,49138739,39211953,30615442,30615441,39211952,49138737,60538763,58808376,52354102,52354101,64204428,77352133,91272144,105494359,257820270,133606437,134723721,255687718,92369010,78336190,65057163,53074652,254304696,33602495,25805146,19158286,19158285,19158399,13680471,13680472,19158379,19158378,19158390,19158389,22762672,30150115,38731838,254452678,10911061,7216160,4546759,4546757,4545722,2732633,1583473,1583474,2732638,4545739,7214845,10909454,8323367,8323369,8303177,8303179,12293678,8500708,5559737,3444450,3444448,5021383,5567660,5567655,8571701,8610384,5596116,3472856,2060056,1182196,1182198,2060064,3472869,5596138,8610407,5596148,3472873,3472874,3446915,3446913,5563209,8567600,5596098,5596099,7215300,5569829,5569828,8567281,11487352,11487341,11487342,8431376,5443017,5443016,8431369,12462610,17638454,23150830,23150829,24080901,23782342,17452272,12302885,8309682,8309683,12302890,15754854,10911031,7216143,4546741,4546740,5361794,5361793,8309714,12302934,10910970,10910969,15754781,16892940,11821211,254559661,5020685,5538504,254244404,8520853,254364922,17831818,12626598,12626599,10910622,10910623,13658749,19043905,19043906,23741575,17452623,17452622,18866224,13443098,13443096,18866221,25466355,26637618,19825546,14201540,9762497,6418774,4026901,2413120,2413119,4026898,255728213,34627456,43899722,54642751,258505208,37262503,28730443,22850551,16625884,11597048,255499901,30244609,256986975,48747879,60142242,72878715,86474259,100431445,106679491,92376003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8146496, s2 = 14198344, dlinesl.size( ) = 2 s1 = 8146496, s2 = 14198344, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8146496, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 8016551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040853, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9816231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7813627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7996792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14872679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14872679, s2 = 7937505, int(edited[s2]) = 0 s1 = 14872679, s2 = 7937505, d1 = 11, d2 = 7 Dl.O(d1) = 268971932,38731065,30149358,30149357,38731064,257558761,44633627,35249174,27150756,255387482,14523609,20170084,20170085,21112759,21112765,28322766,28322988,35085669,36816949,28320947,21982869,21109034,15163287,10457141,10457140,13649635,9346759,9346758,6896362,4328947,254491545,10462264,15169412,15164916,13332693,9109781,9109779,9226560,13485822,15166224,10459355,10459356,15166225,21110150,25101558,18553153,18553154,255808853,21112823,15167040,10460013,6894799,5866876,5866877,8986442,255386284,23785968,17455159,12304997,8311158,8311157,12304994,17455156,254265404,39824237,254582670,20127277,20127276,22524253,254393536,38416520,31141467,23653955,23653956,31141471,29877047,254833856,31351446,255065192,29860237,23600735,23600734,23629222,28309898,22495064,16321304,11354991,11354988,16321300,13194684,8994991,5872683,3666921,2194927,1275065,729307,415272,415273,729310,1275072,2194940,3666941,5872724,8995063,13194793,18567980,18535587,13170327,13170328,18535590,25078862,27200249,35324218,44750445,37451048,28911452,28911451,28674393,21426560,15434282,10670075,7047181,7047180,10670073,15434276,21426553,28674382,37196776,32822877,25118720,25118719,32822872,41743892,41744069,32823070,25118918,18567797,13194680,13194582,8994929,5872644,3666898,2194914,2194906,2194905,3666882,5872614,8994860,8995058,8995057 Dl.O(d2) = 11849721,16930972,23200193,18568013,13194808,8995070,5872728,5872729,8995076,13194818,18568031,25119223,255265430,255265489,9229036,9229035,13489337,18921726,16930935,11849704,7919928,5035273,5035274,7919929,11849709,16930942,19853819,14223840,9778306,9778305,14223837,11778968,7864507,4992004,3015801,3015799,4991995,7864495,9228829,6044351,3781960,2265555,2265554,3781957,6044345,9228809,13488959,18921197,25531883,33293294,29634073,22281797,22281798,23089977,30504282,30551261,23133124,16872901,11803665,11803664,14223809,14223808,18921019,23133163,18921623,18921622,23200133,16930924,11849693,7919923,7919924,11849696,16930929,23200144,30551302,34663057,254652414,30515088,23099272,16843142,16843145,16930915,18921214,25531896,25531924,33293328,25531820,25531821,25531836,18921158,18921159,18921647,25532278,18921563,18921564,25532296,30504297,33293309,25657258,25657257,33293339,33159355,25532385,25532384,29355027,25531864,25531852,18921170,13590268,13590269,13590230,13590231,19038609,18566303,13193614,11045847,7320606,7320607,11045853,13194827,18568057,25119254,29355049,29355048,37921968,37196760,33293794,33293375,25531890,18921204,13488965,13488966,17803706,24171159,31679257,31069607,23585423,23585422,18921682,13489281,9228995,6044455,3782006,2265576,2265574,3781999,6044441,9228968,13489222,18921587,25532319,26373133,31138281,31138282,25657324,19038641,19038640,25657320,32960125,29653589,24039588,22480401,16309260,16309261,22480405,23608113,22106023,22106022,21296759,15329613,10587729,6984365,6984366,10587731,11347559,7540404,4769726,2875364,254167885,949846,1669139,2875372,4769736,7540385,7540384,11347529,16309454,21294740,28515906,22489336,16316446,11351897,7542733,4770918,4695959,2829394,1641633,1641634,2829398,2829410,4695996,7431471,11199901,16123058,22263583,22472225,22472224,16311488,16311489,22048668,22476552,22478077,29844566,29855684,22490829,22490828,29847079,29847080,35355375,27232347,20303204,14570442,14570441,15936568,22038914,29369694,29846790,28518652,21297750,21297751,28518654,29884437,29843760,29843203,22476261,16305862,16305863,22476264,22472079,267797104,7538151,4768686,4768687,7538153,11343288,16302618,22472086,29839720,22529964,16357351,11383368,7562833,4782108,2881694,2881697,4782115,7562842,11383384,12153943,12153944,8184438,8184439,12153948,17274585,23586728,31070429,254351864,30778413,37389858,37389859,32787448,25089687,25089690,23465882,22873303,16645218,16645219,22873305,29868438,22508942,22508941,29090527,30183003,30183002,26437301,19698310,14123755,12196084,12196085,255045418,31122509,268245530,14347104,14347103,11545709,7681319,7681317,11545706,8624793,5607812,3482415,3482280,2067115,1186542,666584,369759,202473,202474,369763,666592,1186562,2067157,3482351,4798943,2892583,2892584,4798946,7587065,7697290,4871607,2935648,2935647,4871603,7697280,11564601,16008715,11622495,11622497,11561021,7693818,4868903,2933931,2933932,4868907,4584726,2758330,2758332,2950120,1710906,972369,547573,306611,169659,169660,306617,547583,972388,972420,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,1681134,2897186,2898788,1681923,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,7589478,7589475,11419026,16402762,255590134,14343096,9854151,6472951,4056420,2428034,1404581,799345,453066,453069,799317,1404476,2427806,1685836,958506,958508,1685860,2906342,4822981,7622837,10266883,6746493,6746492,6836656,9058064,6836057,4289268,2564494,1476784,1476782,2564486,4289255,6836042,10374660,13306267,9087840,5944928,3717521,3717522,5944930,9087844,13306274,18699309,256112871,41936355,52275260,269464354,50487552,48703488,38781013,258172787,48171533,38261981,29696074,22342472,22342471,25031808,18499046,18499047,16193284,11256576,7472707,4722609,4722610,7472713,11256587,15231963,10507441,10507442,6928853,6928852,10507506,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193731,16193368,11256622,7472737,4722618,4722619,7472739,11256624,7472791,7472792,7472797,11256727,16193560,22342279,28473941,22342551,22341903,16193291,16193290,16193321,11256591,11256592,16193326,22341915,16215479,16215477,16215475,16215474,22370168,22342258,22342260,29695856,38261779,32803503,25101629,25101628,29695191,22341742,16193166,16193167,22341745,29695194,256826284,49769959,49762054,39743387,31065377,28878476,21603177,21603176,28878474,37420077,47328299,254512402,29139856,21832326,21832327,21672832,15635412,15635413,15763913,10917379,10917378,12697355,12697354,17920867,24304505,31820869,40517550,37504971,28961782,21679729,21679728,28961779,37504966,34568970,34568971,257283749,66844740,54585563,54585564,58818304,58818305,66844873,54585701,54585700,54584944,54584943,254750196,35362367,35362366,29290005,21963294,15869576,15869575,21963292,29290001,37858920,40237073,40237074,34568965,34568964,43840727,54585439,43841027,34569197,255724569,19779034,26582487,34569193,43841025,49412684,39482935,30877518,23447114,17171589,255538883,30877516,39482931,41315645,32470145,32470144,41315644,51360989,60768283,49365847,43215186,41315649,41315650,51536523,254782254,44601522,38453158,254358164,51363396,44601060,44601061,51536493,41315655,41315654,51536528,50256457,40237056,31551096,31551095,30835068,23406189,23406187,30835065,39439107,39439112,254259536,23406190,254573414,20221853,20221839,20221840,27126555,27126613,29926664,38487412,43862035,49367996,39439164,30835109,23406208,17132259,12039918,8094154,254104028,17132249,254259534,39439104,49367938,60770674,73516859,85531446,85531445,255148854,60329872,48931794,48931792,60329868,49972815,49972816,61450696,52091071,41777522,41777523,257030640,47805236,256373349,21984527,15888540,15888539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14872679, s2 = 7937505, dlinesl.size( ) = 2 s1 = 14872679, s2 = 7937505, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14872679, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 8606602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7822597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 40868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8135918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6426888, s2 = 6536570, int(edited[s2]) = 0 s1 = 6426888, s2 = 6536570, d1 = 17, d2 = 20 Dl.O(d1) = 254220539,254156249,472841,472842,476074,267794,148333,148334,267800,254097253,149221,82056,44898,24932,24933,24964,13956,7683,7684,13962,24974,44686,44687,81649,148489,148509,148508,268087,476536,476652,476653,269874,269872,474468,841315,847182,478411,269252,269254,478417,478459,475600,475601 Dl.O(d2) = 9594080,13971422,12727237,12710847,12710851,9184937,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,5726103,5624648,3494537,3494538,5624637,8647980,9466753,6207306,6207305,9466751,13804786,15644126,10826784,10826785,13024795,8868601,8868599,13024792,18347151,19575259,19575257,26297962,24721488,18248249,18248248,24721486,32337675,31691352,31691351,24842689,24733261,24733262,18613725,13230924,9021837,5891395,5891393,9021833,8934765,5831716,5831715,8934763,5831880,3638984,3638982,5831925,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917552,6011620,5945238,5945241,9088227,13306757,18699852,25271979,32996263,255698700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6426888, s2 = 6536570, dlinesl.size( ) = 2 s1 = 6426888, s2 = 6536570, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6426888, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 9793967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6428198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 427107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 427107, s2 = 11816709, int(edited[s2]) = 0 s1 = 427107, s2 = 11816709, d1 = 28, d2 = 0 Dl.O(d1) = 10848271,7171863,4517608,2715254,254161541 Dl.O(d2) = 12017064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 427107, s2 = 11816709, dlinesl.size( ) = 2 s1 = 427107, s2 = 11816709, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 427107, Dl.E( ) = 42, 1.69e-05 seconds used appending s1 = 13416293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13416293, s2 = 14163317, int(edited[s2]) = 0 s1 = 13416293, s2 = 14163317, d1 = 18, d2 = 32 Dl.O(d1) = 72632726,86235472,84995462,71422222,58689063,47298160,47298161,42365942,42365943,36525807,255148130,28962298,37505611,32096158,24521044,24521043,23920414,23920415,31410378,254826304,25071418,18529114,18529113,18529086,13164992,8973557,5858045,3656796,3656792,5858033,8973532,13164947,18529097,25071396,32768227,41684409,51437043,41239109,41239108,51437041,42557612,33541377,256667221,48841663,46869453,46869454,258038755,78534663,71529100,58800161,47413252,47413251,51436976,41239032,41239033,268601557,28112577,36585074,28493480,21276541,21276540,28493478,36990762,46869455,46869456,36990763,36990764,46869458,41239035,32413832,32413833,41239037,51436980,61993659,61993650,50501741,40465688,40465689,41928062,41928061,48841667,38921039,30334570,25961218,19295964,13795901,13795902,19295967,25961221,268279987,18306396,24788812,32413842,41239048,51436996,51436970,256596579,32413820,41239023,48119824,38209394,38209393,46869450,36990759,28493476,268402841,16146513,11217397,255084619,22290884,29642747,36517492,29642766,22290895,22290896,29642768,34121343,38209353,29642718,25264227,18692801,13299712,13299713,18692803,20835335,14936624,14936623,18692805,13299715,9081286,5939389,3713833,3713834,5939391,9081288,6756797,6756798,10280659,14946466,255252608,30779150,29510265,22169307,254441280,254203190,20962943,15053339,15053338,20933368,28109972,36582207,46447691,41947321,41947320,51821640,41541336,41541337,51821642,49308688,39380888,30779131,23354882,17087067,255532349,30779128,268427093,17087070,11999706,255146285,23354889,30779145,39380907,46847415,256115842,36968590,28470031,28470029,36968584,46847424,36968596,28470036,21249139,21249138,20951722,20951721,19043654,13594124,13594125,19043657,25663454,25663453,33432785,42425145,257216745,52829363,257808035,257774772,70932713,84055755,84055756,84496856,91868040,257774768,52829394,42425183,33432800,30720578,30720579,39318885,33554187,25764567,19124980,19124981,25764571,33554194,40600050,31891237,31891238,40600051,37726323,29166292,29166293,24245614,256044905,31891625,24363769,24363770,29166280,21857191,15785259,15785260,21857192,21857196,15785262,10935544,7235571,7235572,7235574,7235573,10935548,15785266,21857204,21857198,15785263,15785264,15785315,11120912,11120913,15785600,10935809,10935808,10935587,10935588,15785301,21857244,29166329,37726359 Dl.O(d2) = 23638624,255161983,8228887,12198051,8228894,5300220,5300219,8228892,268108119,23638625,31124563,23638629,17322949,12198055,8228889,5300217,5300218,5300211,3251111,1909088,1909089,3251113,5300214,8228886,12198048,17322940,23638617,31124554,39804686,49825582,49825581,50586413,62078593,61407507,49928058,49928059,61407509,256765658,86485070,72889988,72889987,86485069,86485066,74187140,61407452,61407453,257332438,43220181,34132254,34132253,34132257,43219770,34131841,28385137,21167055,19547054,13997015,13997016,19547056,26267557,26265713,19545407,19545406,19545222,13995641,9614879,9614880,13995644,19545224,19545262,13995665,255302081,9614985,6315530,6315526,6315525,9614979,13995774,19545393,19545880,13996122,9615202,6315664,6315665,9615204,9615207,9615206,13991827,13995666,19545264,26265508,26325757,19598801,14043020,14043021,19598802,19544100,13994802,9614360,6315162,6315161,6128707,6128706,6315422,6313062,3956754,3956753,6313060,3956847,2369631,1371764,267761437,780960,1371703,2369537,3956726,6313010,6313221,9611462,6313249,3956908,2369832,2369835,254461069,3958704,6316033,9611523,6313152,6313151,9611521,6313375,3957015,3957014,6313373,9611808,13991300,9611604,6313213,3956870,3956872,3958734,254674635,13997033,14186132,19804920,254925072,14173999,14173998,14594592,10042448,254476801,4134516,6599551,9985349,14185385,14185383,19793735,19793738,19797035,19793282,19793281,24120672,17759409,14114495,9746133,9746134,14176912,19792259,14178608,14178607,19794499,17983313,17983315,19794458,19794457,24382499,19786627,19786628,26591822,34579087,30211713,22819765,21903513,15823440,15823441,15823442,16141780,11213828,11213829,16141782,22285339,29637067,38203762,43221931,256786730,255884034,34578466,26591125,26591126,255447390,16142320,255900247,37778102,34585069,34585068,43856026,43858853,268494884,38431386,29870353,254964032,16337218,14183145,9750179,6411010,4021937,4021935,6411004,9750163,10964959,10964961,15822449,14185321,9751568,9751572,14185334,14553854,12567105,8522159,8522161,8294540,8294519,5351039,5351041,5990011,5990010,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281505,14936724,14936727,16375929,22552830,22552874,22552872,27227619,23187245,22074809,16122111,15958843,11075863,11075860,12024726,12024725,14551440,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,21899410,21899411,23282470,30697874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13416293, s2 = 14163317, dlinesl.size( ) = 2 s1 = 13416293, s2 = 14163317, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13416293, Dl.E( ) = 34, 2.22e-05 seconds used appending s1 = 8085370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8085370, s2 = 904608, int(edited[s2]) = 0 s1 = 8085370, s2 = 904608, d1 = 8, d2 = 25 Dl.O(d1) = 255112333,7681923,7681922,254366837,254366835,7744328,11626207,16658740,12838442,12838443,11459440,11459439,16447115,255840562,31222762,27130031,20224817,20224818,27130032,21509600,15500511,10719586,7082105,4458870,4458871,7082106,10719588,15500516,21509611,28770530,23341022,17074827,11987403,11987404,17074829,21289787,15324485,15324486,15324547,254728661,6982261,10584379,15324477,255394391,28509773,28509808,21289820,21289822,21289499,21289498,15324330,15324329,21289580,28509569,36772340,36772339,31809089,31809090,37008265,31809087,24294038,24294039,21289743,15324457,15324456,21289741,28509731,37008384,42868816,42868817,37930774,29364272,22033683,15932271,15932270,22033679,21289449,21289450,15830274,15830275,15830154,10970224,7261312,4579440,2755187,2755188,4579444,7261322,10970246,15830198,21912550,22034690,22034691,29228863,21912459,21912429,15830110,10970197,10970196,15830107,17911882,24294045,31809094,26009857,19335816,13827214,9483146,9483148,13827219,15933325,11056306,11056307,15933327,21857958,15785877,10936040,10936041,15785883,15932279,15932276,16951584,16951583,15830227,10970262,7261329,4579448,4579451,7261339,10970281,15830255,11163232,7404585,4677767,2818061,1634878,929704 Dl.O(d2) = 7830895,11728310,11728384,11728198,7829884,7829883,11728195,255127557,7830867,4970707,3002313,3002314,4970710,7830870,7829818,7829820,11728138,16774658,22204164,16774937,254807573,4970243,3002042,3002041,4970239,7830095,11728308,255510959,11729618,7830874,7830876,11729620,7830908,4970731,3002329,3002331,4970719,7830889,11729649,11728247,11728248,11728144,7829826,267834961,3001894,4970031,5687029,3537816,3537817,5687031,7829816,4970026,3001891,254371097,4970705,7830863,11729609,16776560,16776599,23014604,23014878,16775077,16775079,16774935,11728450,7830097,4970352,267898381,11728281,11728279,11728440,16774916,16774929,16774928,23014707,16776608,11729673,11729672,11729665,11729664,15903687,12845634,12845635,15143427,255379267,255612327,12845627,12845629,18115722,23016863,16776625,16776615,11729679,11729680,16775105,11728626,7830254,7830255,7830258,11728593,11728594,15143425,15143426,21082314,23014871,22204144,22204145,29547764,29547770,22204150,22204149,23014694,23014696,24552492,24552491,23016849,268272663,12845633,8735427,5687033,5687036,8735432,12845637,255612329,32133497,30419803,23014909,16775129,11728647,7830271,4970373,3002135,1743495,990690,557225,557223,990687,1743492,3002127,4970361,4970347,4970345,7830233,11728591,12845600,18115689,24552490,18115667,12845574,8735387,8735388,12845576,18115672,23016948,30422290,23016954,16776692,16776693,23016956,22004342,255879169,37904310,30419785,23014881,255455591,11162339,7404087,4677504,2817936,1743493,1743494,3002132,4970350,4970349,7830240,11728597,16775076,18115763,12845682,8735465,8735464,11162337,11162335,16074581,12845592,8735397,5687011,3537807,3537808,5687015,8735401,7830945,4970750,3002340,3002341,4970753,7830950,8074958,8074961,11162238,11025374,7299672,7299671,11025373,15903712,16544240,16775090,268125921,8735481,5687065,5687064,8735451,12845663,16775124,11728641,7830264,7830263,11728636,16775115,22204154,24297103,17914580,17914579,24297102,29335534,29335533,35235184,27139805,20232351,14518379,9990010,6565779,6565777,9990006,11162257,11162258,16074471,16074432,11162218,7404012,7404013,7404038,11162256,11025391,7299679,4604306,2770780,2770779,4604302,7299675,11025377,11163287,11163288,16076088,18115776,12845700,8735474,8735475,12845702,12845686,8735471,8735472,12845690,18115771,24297110,17914585,12692199,12692197,14518364,254768299,7404406,11162973,15931491,15932039,11055150,11055149,15932037,11056280,11056279,15933291,11056301,7331284,4631332,4631331,7330828,11055653,7331253,4631314,4631313,7331251,11056126,15933122,15933144,11056146,11056147,10432792,6877971,4317449,2582152,2582151,4317447,4630852,7330648,8240768,11864125,11491047,11491048,11054862,7330142,4630538,2789541,254348637,7330146,7929007,5040439,5040438,267987357,11054995,7330240,7330239,11054993,15931882,11054986,254521489,2789731,1618468,920574,920575,1618472,2789736,4630867,7330669,7330732,11054777,15931631,19069154,15932534,11055590,11055591,15931885,11865175,11865177,15933178,11056182,11056181,11054600,7329962,7329963,11054602,15931430,22032887,23226056,254135458,11863965,11863964,12366119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8085370, s2 = 904608, dlinesl.size( ) = 2 s1 = 8085370, s2 = 904608, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8085370, Dl.E( ) = 34, 1.91e-05 seconds used appending s1 = 7802160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7802160, s2 = 14245248, int(edited[s2]) = 0 s1 = 7802160, s2 = 14245248, d1 = 11, d2 = 15 Dl.O(d1) = 254069974,1658114,943440,532070,298382,165280,91588,91589,166331,300276,535500,558491,949673,949528,949527,535572,300327,166363,166364,92270,92268,167675,302906,173177,173176,312417,172750,95024,52572,29582,16953,9703,5408,5388,5389,9669,267734746,52354,94890,172494,312036,546273,546274,959247,949695,254069794,300383,535163,300049,300050,535170,558655,558656,959330,540663,540664,558860,558585,312575,312576,558444,319903,302979,302978,540696,312598,172864,172865,312601,558612,254070052,312334,312333,254074134,959169,959170,1686886,1745480,254072406,558187,992126,558810,558809,312864,177050,177047,319969,571155,1013250,1777221,1745314,992037,992035,959272,540605,540606,558851,312786,312785,302944,167700,92287,92286,167694,302932,540625,959294,943988,883090,498312,498313,312911,173051,95200,52526,29559,16942,16943,29564,52534,52392,52391,94964,172642,312246,558206,992150,992719,558724,312694,172933,172934,299969,166145,166144,299965,535035,535122,949092,1668328,1745555,1745554,3005269,1746304,992996,992995,943908,532382,298632,165485,165483,298626,299793,534705,534716,948459,558195,312237,312238,558168,312770,172976,95164,95154,95155,172958,299954,299955,535023,948985 Dl.O(d2) = 3046420,5032207,254375870,254346299,2768510,4601356,7295774,4601301,2768488,2768486,4601293,5481716,5481715,8480286,12517544,12133010,12133011,12132974,8163134,8163136,7293166,7293164,7295736,11020151,11845075,7916669,7296264,7296265,5032199,4599625,2767287,2767286,2813544,2813543,4601994,4601995,5233045,5233046,7916587,5032973,3047089,3047090,5032982,7916601,8163404,8163405,8163397,5233312,5233313,7295863,4601368,2768516,2768515,2769107,4602167,7295749,4601287,4601286,7293186,11015644,11016715,7293439,4599630,4599631,7293442,11016429,8163318,8163317,7295102,7295099,7299578,254346168,2770734,4601258,4598748,4598749,7292535,4600832,4600833,4601981,2768976,1605394,912988,515111,515110,912985,1605384,2768954,4601951,3193860,1869490,1869488,2873169,2873167,4766133,4601622,2768709,2768708,2768163,1604883,912706,514971,514970,912690,1604862,1869531,1066486,599477,334022,183777,100713,100712,183766,334000,599441,1066420,1869402,2766932,1603999,912128,514615,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,2769203,2603693,2603694,4347402,2770694,2770695,2767136,1604130,1604128,2767147,4599251,2767056,1604074,1604075,913073,913074,1605551,1605557,913103,913102,1605595,2766675,1605656,913134,913131,912930,515083,289043,159977,159978,289047,514673,288808,159861,88021,48457,48455,88014,159848,288782,288748,288747,514553,912037,1603855,267887922,15890589,21986868,29315006,37883811,47807237,38840037,30256527,22861203,16634593,16634592,22861199,30256518,38840021,48759487,48759480,38840018,38840019,48759483,44643073,35258498,27159345,20247489,20247488,27159341,35258495,44643067,38840103,30256580,30256581,38840106,48759424,48759346,47807229,38840120,30256590,30256589,38840118,48759582,53546688,55493160,51906984,43067666,43067665,53546692,65571531,65571521,65571520,65571568,65571562,60120822,60120823,48759578,256662502,65571522,63713985,63713984,65571528,59041523,47639718,37717629,37717628,47639714,59041519,71783234,72889372,86484532,91166886,77248342,64101663,60153387,53546710,53546709,65571538,78906533,67834516,63713923,55493251,55493250,257166651,32703392,32703393,41606813,41606824,41606823,51907022,44643152,35258543,35258542,44643149,55493237,55493183,44643090,44643091,38805118,30221609,22829480,22829482,30221612,38805121,47244053,52252981,59944431,59944432,67834539,64101654,59944182,59944183,48552190,48552189,38637905,38637909,48552395,57634015,256338002,72683079,59944234,48552103,38637590,38637591,48552106,257154198,72683101,59944405,257154196,42656879,42656880,53108694,58221115,46853303,36974599,28476815,21257671,255025911,6963461,10557979,12070514,17152272,19542613,15288942,10554223,10542728,10542729,13532265,9262309,6066481,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792623,3793709,3793711,6063441,9257982,6949344,4375888,2621138,2621140,4375898,254726831,15295677,21259633,28478220,33324331,34639457,26648052,23434581,17159018,17159017,14451042,9942038,6534395,4094257,2449475,2449476,4094258,6534399,6065665,3795123,2273219,2273215,3795104,6065630,9261049,13530720,255557235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7802160, s2 = 14245248, dlinesl.size( ) = 2 s1 = 7802160, s2 = 14245248, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7802160, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 8057326, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9801981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9340977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 76348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7931904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7931904, s2 = 13200334, int(edited[s2]) = 0 s1 = 7931904, s2 = 13200334, d1 = 18, d2 = 14 Dl.O(d1) = 254185938,11979862,8027845,8027843,8068242,5162354,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5152047,5152051,8059884,12004720,11995818,8047919,5138153,3124642,1826484,1826483,3124637,5138140,8047894,11995785,10815895,8080690,5176180,3157468,1848164,1848166,3157473,5156255,3139889,3139890,5156257,8063238,12006782,17067932,11978443,11978442,12014354,17086642,17086672,11999168,8052415,5143105,5143104,5156248,3139882,3139883,5140444,3128219,1828722,1043734,1043732,1828715,3128205,5142483,3130784,1830230,1830231,3130791,5145792,8054957,5161787,3144856,2710524,1570283,1570280,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,3098355,5104007,5111759,3135318,3135319,1833217,1833161,1833160,3096572,1809294,1033379,1033380,1809296,1033401,582376,325608,179811,98877,54663,54665,98882,179824,325629,582417,1033473,1809441,3096816,3104016,1813696,1035677,583512,326131,180056,99001,54709,54708,98995,180047,326071,583366,1035393,1054186,1054185,1845852,1847931,1847932,1810477,1034008,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824818,1824821,1826731,1826732,1042687,1042688,1047012,589145,589146,1047017,1834719,3137791,3124118,1826123,1826121,3124113,3133659,1832063,1832062,1866510,3189535,5038654,3050529,1777134,1777137,3050533,5038657,5128506,5177002,5177003,267838845,1831983,1045516,254103727,328436,588432,1045512,1831976,1831943,1831942,1844541,1052563,591889,330028,181792,99777,99776,181783,330011,591857,1050445,1050443,1054568,1054506,592951,592949,1053708,592488,592487,1053731,1846521,3155358,5173805,5139078,3125466,3125467,5139081,3153005,1844910,1844911,3153009,3139154,1835651,1047551,1047550,1835649,3139151,5155435,8043067,8062679,5155503,3139209,1835693,1047570,589420,589411,328873,328874,589415,1047560,1835669,1835423,1835422,3138843,5115950,5115949,5175472,254824969,8065511,267903421,3146402,1840531,1840532,3146405,3105204,1814406,1814407,3105208,3134663,1832718,1045915,1045916,1832719,1064543,598340,333407,183491,100561,55442,55440,100556,183472,333372,598248,598247,1064395,1047723,589503,589502,1047720,591239,329724,329723,591235,1051206,1842100,3148863,3157273,3157274,3098652,1810477,1034008,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098357,5104003,4759917,2869125,2869126,1813713,1813715,3104055,5111694,5160116,8024505,8024504,8041824,8041823,8052019,11986116,8036603,8036602,8058825,8058826,8063951,5157181,3140712,254384673,254383265,1827063,3125561,5139211,8048896,11996549,8080497,8080499,6475710,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792795,4941370,2981847,2981848,4941378,7793297,8077900,11686323,11686393,11686471,16729100,11986818,11986819,17074466,22957655,17069659,11986725,11986723,11686162,11686163,14348680,12014127,12010321,12010322,16944505,17083879,14348751,14348750,16714514,16714513,16730242,16730243,254552874,30366681,30366680,23327294,17061242,11969520,11687331,7793904,4941762,2982062,2982061,4941757,7750651,7750650,7793810,7793813,8055661,8055660,11685939,7792837,4941095,2981697,2981696,2446676,2446677,4089754,6527367,9931915,11687227,8022713,5111604,5111605,8022720,11633701,7750252,4908294,4058197,4058198,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405073,2429003,1405101,799612,799610,1405091,2429040,4058309,4935868,4935866,2982010 Dl.O(d2) = 4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,2692396,1559798,886813,500372,280624,154944,84993,46565,46566,84997,154954,280645,500415,500338,500339,886726,1559615,2692094,4480535,4480457,4480458,7116101,7505909,11305477,11876746,10748431,7101240,4471044,2686271,1556087,1556085,2686267,254145206,6589754,254082070,1427424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7931904, s2 = 13200334, dlinesl.size( ) = 2 s1 = 7931904, s2 = 13200334, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7931904, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 14101959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101959, s2 = 7873739, int(edited[s2]) = 0 s1 = 14101959, s2 = 7873739, d1 = 19, d2 = 8 Dl.O(d1) = 259385560,256405770,29749236,22389506,255091212,4733709,2852296,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285754,509761,903836,914331,516003,516004,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892389,3227441,3221709,3221707,2871333,1666515,947951,947950,1666509,2771680,1607464,914468,914467,1607454,2771697,2854421,2854087,1656283,1656282,1087361,610520,339632,339631,610517,1087355,1904659,3245090,3328689,1957667,1957666,3328686,5414841,7493904,4737107,2854972,1656879,942751,531706,298162,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071568,1546126,878706,878707,1546131,2669630,3245514,1904979,1087557,1087556,1904975,3239674,1900754,267755035,339030,254080071,101799,186171,339033,604484,604483,1076113,1885122 Dl.O(d2) = 571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1741009,1740625,989337,989335,254182041,608141,338425,338423,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098294,1081485,1081486,1894902,1917807,1095413,1095414,1909725,1090488,612264,612263,341873,187535,102400,102401,187539,341814,341815,187513,187514,341833,614878,254132695,603651,1074478,1883342,3214826,5259102,4624968,2785231,254348137,3227824,2787411,2787410,4609904,3266689,1920241,1096942,1096943,1920246,3266700,5317753,7915297,8173419,5242840,4625136,2785338,1876062,1876061,1089136,1089135,1615710,2785440,2785439,3249395,3204330,1876371,1876372,1090415,1090413,1909617,3204151,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1617395,1617392,1617370,919989,919988,1617369,2787854,4628102,4682723,254519825,4614432,4790813,7310935,4614420,4614421,7310938,5258385,5258386,5258209,3214081,3214082,1882835,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301558,537886,953853,1675786,2887355,3205933,268250239,40225571,40225572,259293768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101959, s2 = 7873739, dlinesl.size( ) = 2 s1 = 14101959, s2 = 7873739, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14101959, Dl.E( ) = 20, 2e-05 seconds used appending s1 = 196442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 442760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6471282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6471282, s2 = 502543, int(edited[s2]) = 0 s1 = 6471282, s2 = 502543, d1 = 26, d2 = 14 Dl.O(d1) = 254900199,5810182 Dl.O(d2) = 12778795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6471282, s2 = 502543, dlinesl.size( ) = 2 s1 = 6471282, s2 = 502543, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6471282, Dl.E( ) = 36, 2e-05 seconds used appending s1 = 166002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7913682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6426274, s2 = 6626841, int(edited[s2]) = 0 s1 = 6426274, s2 = 6626841, d1 = 2, d2 = 4 Dl.O(d1) = 254210453 Dl.O(d2) = 256680673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6426274, s2 = 6626841, dlinesl.size( ) = 2 s1 = 6426274, s2 = 6626841, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6426274, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 7846558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7846558, s2 = 11060428, int(edited[s2]) = 0 s1 = 7846558, s2 = 11060428, d1 = 27, d2 = 19 Dl.O(d1) = 16980425,16077682,11164760,7406119,7406120,7981421,7981420,11927910,11919963,11919964,16999750,16999751,19848473,22016993,15915278,15915277,18561633,254567748,17015725,11931186,11931187,16986643,254177420,7959433,9169137,6001277,6001274,5058176,5058177,5069748,7952708,254382282,16975583,11888363,7971926,7971924,8350971,8350972,11888747,16974922,17004207,11930840,11930839,12358906,11775314,7987205,7983976,254381124,11883915,11883914,16971608,11901309,7959436,7959433,9169137,6001277,6001274,7952798,11893497,11911852,11893819 Dl.O(d2) = 256964480 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354926, s2 = 10354813, int(edited[s2]) = 0 s1 = 10354926, s2 = 10354813, d1 = 11, d2 = 4 Dl.O(d1) = 142138755,128785514,260063455,86858401,258942770,30567514,23150244,16889623,11818478,10941334,7239926,254752591,15792161,21865399,29175581,37736229,29175679,29175568,21865273,21865274,21865314,15792096,15792094,21865310,268625741,47355249,47355250,51344790,51344792,58755557,47658293,47658295,59058563,47658494,37736668,29175872,21865474,15792197,15792196,21865472,29175867,37736630,29175849,21865463,21865464,29175851,37736634,41655137,48677732,38756209,38756207,48677728,60073833,61321036,59861854,59861855,61255334,49776574,39757880,39757879,47227584,37318585,28782682,28782683,37318589,47227590,58620875,61321070,58620926,256342728,59233184,255850416,49838079,49838080,53257709,256886376,39002597,39002596,48926719,49788206,39768322,31089592,31089593,39768323,49788208,256981258,47227623,47227463,37318469,31132460,31132462,39814678,39812727,39812726,31143666,31143667,39757876,31080178,23596755,23596754,31080176,31465949,40149613,50175099,256338618,37448555,28909075,21634629,15603025,15603026,21634631,28909079,37448547,39703578,49722377,47227471,38482926,38482927,39757904,31080194,28782762,21519442,21519443,21519438,15508274,15508233,10725466,255040197,21519374,23007373,16767731,16767732,23007375,29345461,29345465,22013465,22013467,29345470,23612912,23612913,28782724,21519415,15508259,267965093,7086356,10725487,15508268,21519431,28782739,23646336,17329483,12204487,8236350,8236351,255162445,23646345,31080122,31080121,31497347,23999888,23999889,21634575,15602986,10794223,255045443,17343360,12216866,12193365,8223682,5293931,254265343,1087359,610518,610517,1087355,1904658,3245087,5293902,254503379,4461638,4461637,7086361,10725495,15508282,21519451,18427732,18427733,24941073,32604390,33104584,255659221,13380174,9145703,5984959,5984958,9145701,9960453,14467903,9954055,6545654,4100815,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856928,11768154,11770736,7858607,7858606,255130881,256224097,20161044,20161045,255332937,9951687,6540526,6540525,9951684,9951582,6540458,4097702,4097703,6540460,9951584,254809733,7856358,11767319,15674061,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466404,20164289,27057819,35143111,35141949,35141950,256643118,71003071,58288108,46922556,37044706,35198257,29420691,22090101,15983360,11096014,7358884,7358885,11096016,15983362,22090102,29420694,37983564,40179466,31494357,23996928,23996931,24635929,256170781,255336289,9978006,6558265,6558263,9978001,255702315,18458462,18458460,24979452,22574848,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,3537668,3537671,5686821,8735123,12845223,18115241,268029370,40910496,256148890,29750823,24251790,24251789,257093879,17792814,24160107,28910925,37450495,46607410,36719225,28225770,21029657,21029659,28225775,28909223,24080679,17723506,17723507,24080683,21634736,15603112,10794327,10794326,15603110,21634732,28909194,37448687,37448700,47355395,51605607,47987823,40273231,40273230,48732315,60126806,50294568,40273259,35269406,35269407,37448747,40273251,257501110,70701520,57984000,46607061,36718889,36718890,46607063,49114625,39185865,30588355,23170175,16906789,16906790,23170181,30588372,28225550,21029517,21029518,28225556,36718955,46607147,47267654,47267652,58659300,70701501,257409411,36718988,28225582,21029533,15104707,10418077,10418078,15104709,21029537,28225591,36719001,256291886,31595237,31595238,40279504,50299802,61779088,258208220,102167792,93254155,93254154,107657012,93254147,79138954,256067850,43216486,268705788,43216482,53728349,61779076,257571311,30280271,30280272,26262407,26262408,34128774,39901178,39901179,49920807,53901859,65968144,53903042,43379447,39290741,30693381,23278406,23278405,30693377,39290730,49217402,50080370,40059040,31376713,23880375,23880374,31376707,40059035,48787619,48787618,39491626,30885407,28671314,28671313,37193334,47089222,43379441,34280905,34280904,36612335,36612334,39290798,39290785,39290786,48787642,38865749,38865710,30280266,22882722,22882721,30280260,38865701,38865729,47510908,37606334,37606335,47510910,37606349,37606350,47510932,51054789,49217432,39290751,30693392,23278411,23278410,30693387,39290746,35387755,35387757,43379454,34280916,26406175,26406176,34280919,43378028,34279133,34279135,43378033,40912769,32134903,32134902,40912765,49920821,40912672,32134809,32134808,40912670,51054735,41851993,32922834,32922835,37193403,37193402,47089272,37193380,37193381,42808119,256633816,47089238,37606342,29057391,21762218,15706423,15706424,21762222,29057398,37606360,47510945,58890513,62685525,51054896,51054895,41828241,41828240,37221157,28695740,28695741,37221163,47089379,47089381,37221171,37221170,29212128,21897996,21897998,29212131,37774068,47695445,47089405,47089406,52351503,52351502,58467463,71189441,71189424,58467434,47089301,37193405,28671372,21424184,21424182,21424172,21424129,21424128,21424202,21424201,28671402,37193443,47089337,52176074,58467329,58467328,58467655,47089695,46713782,46713783,51054746,49217423,49217424,60618174,52146310,52146309,58467340,47089280,47089279,58467363,58497061,47118717,37221165,37221167,37774057,29212124,29212125,37774060,41852032,47089411,37193506,37193507,43038536,43038534,37193312,37193311,47089200,37193436,37193435,47089209,37193318,28671297,21424139,15432490,10668807,10668808,15432494,21424143,28671305,32922845,32922846,41852014,47025256,47025254,48144717,58085563,46713786,46713787,58085570,58467509,47695438,47695437,58467631,47089642,47089286,37193393,37193392,47089282,42318917,42318918,52176003,41851923,41851922,41828250,41828249,41852037,37193354,37193355,33981176,26141586,26141585,33981172,43038542,53516794,53516804,43038554,33981192,33981193,43038558,47089206,47089204,47089205,37193836,37193835,47089634,47089421,37193511,28671469,21424260,21424259,28671467,37193509,47089417,58467507,60265677,71189438,60265676,48873086,38953365,38953366,43038518,33981283,26141666,26141664,33981278,40913117,51055034,43038568,33981201,26141602,19444646,13914320,13914321,19444648,26141606,33981203,28671442,28671444,28671797,21424500,15432712,10668938,10668939,15432716,21424506,28671804,37193845,37193587,37193588,47089480,47089679,53516866,53516867,58467629,256067874,38953385,30367121,22965531,22965523,22965524,22965528,30367115,38473236,37221191,28695764,21444334,21444331,28695762,37221179,28695749,28446462,28446463,26141674,19444698,13914348,9549853,9549851,13914313,13914314,19444638,26141592,33981182,37193553,28671509,28671510,28671905,21424587,15432762,15432595,15432596,15448231,15448230,21444306,21897987,21897989,29212117,37415557,37415555,47089387,47089386,47089537,37193900,33981158,26141575,19444629,16729416,11686804,11686805,16729419,22965535,22557213,22557212,21444338,15448244,10680778,10680777,15448240,21444327,21444288,21444286,28695715,37193650,28671660,26141641,26141640,33981248,30367139,22965551,16729427,11686814,11686815,15448250,15448251,21444341,21424332,15432607,10668872,10668870,15432603,15432623,21424366,15819333,10963059,7256826,7256828,10668957,15432751,21424575,28671889,28695815,21444397,21444398,28671725,22965516,16729408,16729409,22965520,30367107,37261770,37193939,37193938,37193663,28671628,21424392,21424393,21897980,15819327,15819328,21897982,29212108,37193683,37193684,47089448,37193943,37193942,37193597,37193598,28671704,21424443,15432684,10668924,7046367,7046366,10668921,15432676,21424433,28671616,28671615,28671621,37193658,28671855,21424548,15432740,15432743,21424558,21444370,21444376,28671723,21424452,15432687,15432689,17416915,17416914,22965508,30367091,38953355,47089614,37193935,37193934,37193783,28671756,23741352,17416888,12275706,268110013,23741360,31224632,28671746,28671745,28729685,21472158,15469600,10696655,10696656,15469606,21444347,28695780,37193780,28671753,28671752,31224587,37193748,34650671,26659307,19845081,14217560,14217561,19845085,21444351,15448303,15448304,21444442,28695867,28671839,28671840,28671715,28671714,37193733,37221220,30367085,30367083,28671787,28671788,37193824,47089589,37193789,28671760,21424477,17416910,12275717,8290188,8290187,10963069,10963068,15819358,21424357,28671584,37193630,37193924,35310676,27190890,20266647,14541027,14541028,20266648,27190891,35310682,31224588,31224589,37774086,30885371,26659342,26659299,26659300,31224544,23741283,23741280,28695876,28695877,26659227,26659220,26659218,34650562,28729670,28729669,37261750,47118753,38953340,38953342,35310702,35310703,43378933,39901317,31224623,23741349,17416883,12275702,8290184,5348115,5348114,8290178,12275692,17416864,23741315,31224593,36951356,28451046,21224222,15254353,10523962,10523963,15254355,21224226,22860065,30255278,31224538,37221257,28695855,28695854,37221256,47118790,269782365,79332008,74180787,61400622,49920573,39900844,31224113,30885339,30885341,39491582,49421311,55628195,256632020,41128417,41128419,49920892,39901283,256846801,28451041,28451043,30256438,23453482,17176197,12076816,12076818,17176202,23453496,17416830,17416829,17416467,17416468,17416600,23740940,31224168,34280309,39491578,39900862,31224132,23740910,23740909,31224128,30772136,23348849,23348848,26406526,34280710,26405974,26405975,26405963,26405962,34280700,35310715,27190922,27190923,26405530,19671181,19671182,26405536,30885300,26405502,19671153,14101269,14101268,12275455,12275456,17176266,17176264,23453523,17176223,12076831,8120982,5202745,3286761,3286760,5348091,8290050,5348050,5348051,8290056,12275441,17416478,18510521,18510522,23741209,23741208,30885419,23740918,23740916,19672097,14101969,9699367,9699368,14101979,17176112,17176111,14101600,14101599,19671576,23453372,23453371,27143654,20235132,14520273,14101298,14101299,12076884,12076886,12076776,8120957,8120955,12076768,17176119,17176120,23453389,23453579,17416810,12275667,8290166,5348109,3286768,1932805,1104006,1104004,1932800,3286751,5348073,8290096,12275532,14101083,14101082,19670920,26405281,26406543,26405056,26405057,26406515,26404985,19670672,19670673,19671348,19670776,14100976,256188743,43378648,38295159,254723912,16216675,254494222,19671515,255718671,12275521,12275522,255307935,26404393,26405101,19670768,254958937,6378881,6378880,9698734,14100972,19670767,26405076,23453557,17176253,17176252,19671488,14101527,9699081,6379081,6379082,6379153,9699076,14100337,19669955,19671958,19671959,19670048,19670049,26404286,19671516,14101552,14101553,19670128,14100478,255307933,26404391,19670633,19669970,14100355,9698326,6378639,4002014,4002015,6378643,6378663,6378664,9698374,14100422,19670051,26404288,34279267,43378154,43378157,256188665,19670062,14100429,9698376,9698377,268323301,19670124,254958879,9698404,14100473,19670121,26404383,34279344,268094424,19671037,26405395,34280227,34279841,26404945,19670617,14100864,9698661,6378840,6378839,9698656,14100852,19670608,19670899,19670487,14100819,14100818,19670564,26404886,28421708,21199000,15234413,10509269,10509271,15234419,14100542,9698444,9698445,14100544,14100464,9698399,9698400,9698386,6378669,6378668,9698346,6378652,6378651,7639688,4833371,4002145,4002143,6378904,9698766,9698868,14101223,19671046,14101193,9698856,9698855,14101185,19670243,19670244,14101034,9698776,9698777,9699061,14101500,15234428,17773599,19670008,19670009,26404245,26404250,23448530,23448528,30879293,26404556,26404554,28421693,21198990,21198993,26405235,34279411,43378243,34279545,34279126,255718491,19669936,26404139,26405295,19670931,19670930,26405292,34280125,43378168,34280212,26405382,256188773,28421720,21199014,21199013,26404320,34279290,34280150,255718629,19670958,26405322,26404234,23743991,23743993,21199012,15234423,15234424,14102207,9699535,9699536,14102212,19672369,26406812,26406962,31228176,28645376,28645377,34281748,26406945,19672466,14102277,14102278,19672471,26406951,24091122,24091120,31228133,31228132,23766027,23766025,23766032,31250532,39843143,39843142,47052086,37161473,28645280,28645254,21403728,21403729,21403760,28645304,37161499,31227706,255556673 Dl.O(d2) = 14102165,19672299,16634184,16634185,22860582,30255816,31279561,33041132,25313296,25313295,33041130,41985019,41124927,40279171,40279172,39904916,31228138,23766028,17438082,12291767,12291766,17438078,23766020,31250522,39926087,49943801,48293853,268415920,37136965,39904911,31228129,23744363,17419252,17419249,23744359,268438267,23744355,26406798,34281577,43380055,49924075,49924076,39904719,31227913,31227914,34281432,26406685,26406686,19672305,19672306,26406710,34281465,31227585,31227586,34281444,34281445,28359803,21144619,21144618,28359796,36857753,46739434,39926077,31250516,23766017,23766016,31250509,37136860,37136843,37136841,47025177,46739482,41960740,37136955,28624140,28624141,37136957,46739475,39904907,37065547,37065546,46944671,58311194,71026908,58311188,46944664,44455156,44455155,47025188,256444164,36436203,28359892,28359893,36857870,37116738,46289207,38839240,36645704,36603648,33607530,25809382,25809381,21386793,15403133,10646403,10646402,15403153,21386824,21806769,15745615,14101684,14101682,15192260,10478910,6908993,4339217,4339218,6908999,10478921,15192286,21144724,28359946,32445865,29105168,21806742,15745600,15745602,21806750,29105180,37116844,37110629,28601760,21368425,21368423,28601754,28624196,28607190,28607191,28601793,28563838,28563839,21372660,21372662,21372725,21372727,21372619,15391900,15391898,21372611,28607019,33164581,33164583,28564668,21337801,15364022,15364020,21337808,15745617,15745619,19671723,14917943,10258073,10258075,14917951,20814013,18520123,13158931,13158933,18520130,18520035,13158869,8969296,8969294,13158859,13158848,13158845,17270533,23583017,19589228,14034898,14034897,19589223,26314739,34186657,26404753,22710517,21372697,15391937,10637308,7022130,4416277,4416278,7022139,10637324,15391972,21372760,28359956,30786815,30786814,29643399,22291466,255222408,255222406,43261594,262224515,140831074,259982730,22102438,15992270,15992269,22102436,29434848,259362425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354926, s2 = 10354813, dlinesl.size( ) = 2 s1 = 10354926, s2 = 10354813, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10354926, Dl.E( ) = 12, 2.41e-05 seconds used appending s1 = 6533882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7824995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7824995, s2 = 14162725, int(edited[s2]) = 0 s1 = 7824995, s2 = 14162725, d1 = 6, d2 = 6 Dl.O(d1) = 4952564,7808519,11705754,16751936,254622864,23839118,17499106,12338741,8335724,5380021,3308254,1946237,1946232,1112330,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,1474090,1474089,2559363,4256535,2544653,1466008,829515,829516,1466010,2544660,2546472,2224224,2224226,3714425,2926014,2926013,4855443,4855131,2925805,2925806,3715410,3715409,4254695,4887167,7721039,4887119,2944991,1707899,1707900,2944993,2217487,1286653,1286652,2217485,2222896,2222895,3712074,5936707,9075653,9075651,9058788,5922763,5922764,4227121,2527546,2527544,3714601,2224323,1290196,736462,418643,236309,236308,418639,736451,1290176,736739,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510175,8594724,5584458,5584459,8594728,6256446,6256445,4928573,4928576,7776788,7776796,6777533,4248251,4248252,6777540,4249876,4249874,6779965,7671007,7671009,4923862,4923863,4258955,4258953,4261832,4261830,4257799,2545463,2545464,4257806,6791192,10321876,10283405,6759010,6759009,6756481,4233888,2531446,1458813,825887,825889,1458821,2531394,1458790,1458791,2531397,254321683,2531406,2225364,2225362,3716314,5943181,9085933,8596961,8596960,9712242,14116960,10369283,10317825,6787665,4255269,2543887,2543888,4255275,6787674,6749324,4229100,4229102,6749332,9071832,5932336,3709302,2221296,2221297,3709303,2565334,1477205,835213,470767,470766,835206,1477191,2565311,4290777,6838601,6838605,10378317,15052229,14995062,14995064,12658838,8594612,8594611,7721072,4887154,4887155,7721077,11598764,14991159,18690394,13297233,9079128,9079127,6134430,5926327,4290717,4290719,6838504,10378203,15052244,20961663,28139671,36613271,33113078,25377840,18792993,13386287,255257947,25377842,23520157,23520155,26738761,19902210,14256884,14256880,19902257,25923837,19261975,13766352,9435894,6184367,3870173,2317915,1343987,1343984,2317897,3532903,2341653,2341651,2330857,2330859,3892973,3846754,2305002,1337579,788297,788295,1337569,764034,764033,1337565,2304971,3846689,6147400,9383617,13701003,19185047,25838583,33641829,33641852,25838606,23651637,17334637,254840099,5312455,5312454,8240442,12209169,17334632,23651625,23651659,268675451,49845072,61328071,74110718,87716673,87716671,258538746,77561734,64393623,257199525,33201442,25454680,24202239,17832739,17832738,24202238,31709921,40402027,40402028,50436072,61926547,61926545,61926546,74720082,72710308,59973283,48581567,38665312,38665313,257554311,72710311,86307138,100268835,114298655,109531446,259167833,67752512,55411962,44564351,257401572,4105505,2927058,1697907,965464,544025,304846,168744,168743,304843,544018,965441,1697865,2541179,1464058,828490,467533,263022,263023,467539,828509,1457566,825234,825233,1291295,832738,832739,827618,827615,1462192,2537499,3306748,1945422,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,254481313,4237045,4237044,6761169,6782826,6782827,9083266,5941021,5936861,267822291,2222298,1289126,735929,418388,418389,254145877,2222300,3711036,5935074,9075492,9081961,9081960,5939997,5939998,9074173,5934124,3713701,3713703,2535841,1461266,1461267,2535847,4241285,4268305,4268304,6805705,6794385,4260107,2546794,2546795,4255353,2543935,1465618,1465619,2543941,4255366,6787809,10302707,10302708,6831865,4286271,4286270,6831875,10282449,10282447,10357172,12661997,15035510,268198917,17304206,12412115,12412114,15027597,15027596,14984319,14984318,254998401,6758960,6758961,10283354,14949124,14931450,14931451,12660806,8596569,8596568,5922290,3703200,2218009,1286896,1286897,2218015,3703216,5922307,6788158,8133979,8133980,12088567,12088564,9784622,6432871,5588653,5588652,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774968,4308908,2576525,2576524,4308903,6865633,10415264,10415232,10415231,14971295,10328914,6797341,6797340,7274270,6797333,6797331,10328801,6797270,4262236,2548239,2548238,4262308,6797416,10329028,12487742,8458127,6847364,6847365,255010151,15065818,20977220,23950816,23950817,254727966,61624951,74403682,270905627,129930246,143258804,155807407,167434190,162776517,155807404,155807405,150683971,137688551,137688550,150683969,155807404 Dl.O(d2) = 4952564,7808519,11705754,16751936,254622864,23839118,17499106,12338741,8335724,5380021,3308254,1946237,1946232,1112330,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,1474090,1474089,2559363,4256535,2544653,1466008,829515,829516,1466010,2544660,2546472,2224224,2224226,3714425,2926014,2926013,4855443,4855131,2925805,2925806,3715410,3715409,4254695,4887167,7721039,4887119,2944991,1707899,1707900,2944993,2217487,1286653,1286652,2217485,2222896,2222895,3712074,5936707,9075653,9075651,9058788,5922763,5922764,4227121,2527546,2527544,3714601,2224323,1290196,736462,418643,236309,236308,418639,736451,1290176,736739,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510175,8594724,5584458,5584459,8594728,6256446,6256445,4928573,4928576,7776788,7776796,6777533,4248251,4248252,6777540,4249876,4249874,6779965,7671007,7671009,4923862,4923863,4258955,4258953,4261832,4261830,4257799,2545463,2545464,4257806,6791192,10321876,10283405,6759010,6759009,6756481,4233888,2531446,1458813,825887,825889,1458821,2531394,1458790,1458791,2531397,254321683,2531406,2225364,2225362,3716314,5943181,9085933,8596961,8596960,9712242,14116960,10369283,10317825,6787665,4255269,2543887,2543888,4255275,6787674,6749324,4229100,4229102,6749332,9071832,5932336,3709302,2221296,2221297,3709303,2565334,1477205,835213,470767,470766,835206,1477191,2565311,4290777,6838601,6838605,10378317,15052229,14995062,14995064,12658838,8594612,8594611,7721072,4887154,4887155,7721077,11598764,14991159,18690394,13297233,9079128,9079127,6134430,5926327,4290717,4290719,6838504,10378203,15052244,20961663,28139671,36613271,33113078,25377840,18792993,13386287,255257947,25377842,23520157,23520155,26738761,19902210,14256884,14256880,19902257,25923837,19261975,13766352,9435894,6184367,3870173,2317915,1343987,1343984,2317897,3532903,2341653,2341651,2330857,2330859,3892973,3846754,2305002,1337579,788297,788295,1337569,764034,764033,1337565,2304971,3846689,6147400,9383617,13701003,19185047,25838583,33641829,33641852,25838606,23651637,17334637,254840099,5312455,5312454,8240442,12209169,17334632,23651625,23651659,268675451,49845072,61328071,74110718,87716673,87716671,258538746,77561734,64393623,257199525,33201442,25454680,24202239,17832739,17832738,24202238,31709921,40402027,40402028,50436072,61926547,61926545,61926546,74720082,72710308,59973283,48581567,38665312,38665313,257554311,72710311,86307138,100268835,114298655,109531446,259167833,67752512,55411962,44564351,257401572,4105505,2927058,1697907,965464,544025,304846,168744,168743,304843,544018,965441,1697865,2541179,1464058,828490,467533,263022,263023,467539,828509,1457566,825234,825233,1291295,832738,832739,827618,827615,1462192,2537499,3306748,1945422,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,254481313,4237045,4237044,6761169,6782826,6782827,9083266,5941021,5936861,267822291,2222298,1289126,735929,418388,418389,254145877,2222300,3711036,5935074,9075492,9081961,9081960,5939997,5939998,9074173,5934124,3713701,3713703,2535841,1461266,1461267,2535847,4241285,4268305,4268304,6805705,6794385,4260107,2546794,2546795,4255353,2543935,1465618,1465619,2543941,4255366,6787809,10302707,10302708,6831865,4286271,4286270,6831875,10282449,10282447,10357172,12661997,15035510,268198917,17304206,12412115,12412114,15027597,15027596,14984319,14984318,254998401,6758960,6758961,10283354,14949124,14931450,14931451,12660806,8596569,8596568,5922290,3703200,2218009,1286896,1286897,2218015,3703216,5922307,6788158,8133979,8133980,12088567,12088564,9784622,6432871,5588653,5588652,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774968,4308908,2576525,2576524,4308903,6865633,10415264,10415232,10415231,14971295,10328914,6797341,6797340,7274270,6797333,6797331,10328801,6797270,4262236,2548239,2548238,4262308,6797416,10329028,12487742,8458127,6847364,6847365,255010151,15065818,20977220,23950816,23950817,254727966,61624951,74403682,270905627,129930246,143258804,155807407,167434190,162776517,155807404,155807405,150683971,137688551,137688550,150683969,155807404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7824995, s2 = 14162725, dlinesl.size( ) = 2 s1 = 7824995, s2 = 14162725, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7824995, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 7877827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9798913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 72301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 72550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7570269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9107793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9804473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6427509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7888006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13270605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13270605, s2 = 3887955, int(edited[s2]) = 0 s1 = 13270605, s2 = 3887955, d1 = 17, d2 = 5 Dl.O(d1) = 15720989,10884375,10884376,10945376,7243033,4566502,4566501,7243029,5458702,5458701,8450563,10800430,7241348,4565326,4565325,4565750,4492903,2699315,1563735,1563734,2699309,4492893,7136287,10800437,7277355,7277354,8101142,8101143,8101147,8101146,10943409,15790104,15794949,10943980,7241835,4565646,2745844,1591409 Dl.O(d2) = 140153632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13270605, s2 = 3887955, dlinesl.size( ) = 2 s1 = 13270605, s2 = 3887955, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13270605, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 7842513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7827698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7985646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9789289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9789289, s2 = 13182793, int(edited[s2]) = 0 s1 = 9789289, s2 = 13182793, d1 = 1, d2 = 10 Dl.O(d1) = 1658999 Dl.O(d2) = 1869497,1869495,1605503,1066441,1066442,1869436,1606783,914027,515790,515788,914020,1606770,2770734,4601258,4598748,4598749,7292535,4600832,4600831,4601805,2768839,1605320,1605319,2768837,4601802,7292657,4598971,2770694,2770695,2767136,1604130,1604128,2767147,4599251,2767056,1604074,1604075,913073,913074,1605551,1605557,913103,913102,1605595,2766675,1605656,913134,913131,912930,515083,289043,159977,159978,289047,514673,254099244,1604185,2767239,1605602,1605603,2769249,4602337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9789289, s2 = 13182793, dlinesl.size( ) = 2 s1 = 9789289, s2 = 13182793, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9789289, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 8251514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7829563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7829563, s2 = 14058028, int(edited[s2]) = 0 s1 = 7829563, s2 = 14058028, d1 = 34, d2 = 39 Dl.O(d1) = 62728792,62728793,62728785,51097129,51097128,62728756,62728755,51097085,51097084,62728753,60709150,51097139,51097138,62728790,257472668,39379258,30777658,256481633,49306914,60709152,60709153,57868995,46512559,46512560,36644913,256825967,39379251,39379250,255051372,19519863,19519864,26236753,254745750,23353688,17085955,254823985,8051144,11998397,17085956,13721588,9399391,9399392,13721589,17243471,12126216,12126215,17069301,11987511,11986459,11986460,254176066,3128310,1828772,1828773,3128312,5142643,8051986,8023700,8023699,11976912,255525622,3118017,3118020,5129630,3149879,3131601,3131602,5146790,4756377,2866778,2866777,4756375,3150052,1842933,1051678,1051677,1838502,1049196,1049198,1821838,3117356,3105457,1814582,1036163,583753,583752,583739,583742,1036128,1814493,1822043,1866544,1824574,1041477,586413,327503,327502,586410,254177653,267838513,5139736,3126033,3126036,3127479,3127480,3103930,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037026,1816161,3108077,4760899,2869751,2869750,4760896,5177620,5177622,5141259,5141258,8050588,5229045,5229046,254571261,3142832,5109027,3102097,1812486,1812488,3102085,5108166,5108165,3101639,3101640,5108438,5169181,5106208,3103132,1813114,1035355,583337,583335,1035351,1034899,1034900,1812211,1812185,1812188,3101590,3134918,1832884,1832886,1815561,1036703,1036704,1815565,3107080,5115572,8026427,8028263,8028264,254821503,8013004,11332063,11332062,16288693,16287379,11330024,7527062,7527064,5153667,5153666,8026352,8026350,5129233,5123721,5123722,8018624,8018623,5127154,5127153,5102696,3097455,1809790,1040450,1040451,1822700,1813857,1035761,583559,326153,326152,583556,1035756,1813847,1038617,254382121,3194406,5233824,5120608,3110843,3110845,5120612,5145106,3130303,3130301,5145104,5168797,8065396,11984974,8034876,8033123,8033124,8049659,8049661,8081080,8081079,5226510,5226512,5162684,3145674,3145673,3173309,3173314,3146522,2867307,1837154,1048379,1048383 Dl.O(d2) = 1065590,1868018,3110419,3098950,1810640,1034085,582704,582703,1034080,1810629,1836854,3140944,5157435,5145113,5107757,5107758,5143451,4763183,2871279,2871278,4763178,3151165,1843623,1052016,1052017,1843626,3132870,3132865,1831529,1810390,1810391,3098525,5104251,8015880,8067585,8075955,8026681,8026680,8030778,5167194,5167196,3191804,1868129,1065659,1065658,1034833,1034832,1812084,2870762,1666080,1666081,1033908,582625,582626,1033910,254255483,5103954,8015600,11971472,11975665,8021908,5110722,3103304,1813239,1813238,1665972,1665973,2870577,4657151,2805599,2805600,1666076,947726,534311,299592,165951,91402,91401,165943,299576,534280,947653,1665930,2870497,3133635,1832042,1045555,588447,588446,1045539,1812791,1055046,1035154,583237,326037,180016,98979,54702,54700,98968,179991,325986,583208,584507,584506,584581,584580,584590,584589,1037875,1817735,3110641,5120355,4836228,267837294,5165609,254564324,2914029,1690399,961223,541691,303545,303547,541704,961258,1690457,2914120,267894565,11493467,11973187,11973188,11328148,11328147,8030401,8030402,8076385,5171503,5171504,7526114,11329307,16286879,11995661,8047674,8047675,5171460,3153410,3153411,5171463,8076344,7522357,7522358,8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116453,8027362,5123301,5123299,8033866,8044836,11993239,15322917,11987594,8038753,8038752,8040145,7934738,5045374,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,4516828,7171015,10847256,15669022,19404958,19404957,26094236,22124497,16010270,11115509,11115508,16010267,22124493,29458703,31977461,24423802,24423803,25916982,30691938,23277199,17019023,11935093,7987484,254564734,254254236,10772447,11469582,10844355,10844357,254422216,17086308,17086309,15665603,10844584,10844585,15665590,254379742,15665593,15665592,21707429,255139008,47444768,58830757,59739805,72474983,258204766,77874313,87929088,87720478,74114874,61332431,49849247,39825563,31143115,23655905,17339024,12212907,8243475,5315250,254586095,12212903,17339017,23655895,31143097,39825538,49849199,61332366,74114806,87720414,101693879,105991438,91796740,77874303,77874304,91796737,91796738,105991435,101693916,87720456,74114837,61332399,49849223,39825553,31143110,23655903,269639736,37546130,29000570,29000571,37546133,47454149,58840055,71567054,85137008,99061176,270302088,58840059,58840060,58840070,58840068,49937958,39920066,31244425,23759976,17432403,17432404,23759977,26926510,20041065,14356259,9864191,6479589,4060372,2430168,1405714,1405713,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040675,31422200,267762054,17589498,23931757,31422202,40032592,47902194,254469428,28510165,21824311,15757086,10912461,7216999,7217000,10912467,11179531,11179530,15758066,10913111,10913108,15758092,16034225,18240603,18240605,23479783,23479782,29494391,29494390,38057878,255741422,256215858,47837421,37916129,29347206,22015173,255068793,11034901,254519767,2778024,1611621,916891,916893,1611626,2778030,4613542,7309672,11034927,10417383,6867386,6867387,10417386,15103734,21028234,22014772,29346744,29346743,22605117,22605116,22015006,15913412,11034986,11034985,254497848,11478890,11034865,11034866,15913258,21850295,17713112,12530069,12530068,17713060,255029108,15913325,15913324,255174313,8332737,12334630,11223057,11223058,11223018,7446612,7446613,255395574,29651434,38217839,48128019,40000680,31322882,254355378,17493787,23832416,31322879,40000678,39034202,30444798,23037278,16792921,11741675,7839344,7839345,11318934,16277902,22447590,16293897,16293896,16293657,16293658,16293894,16293024,11336016,11336017,16293026,16792814,16293041,11336025,7533141,7533140,11336021,16293034,22460854,29828148,255395536,267962418,16293054,16293055,16293688,21126649,15177952,10468199,10468200,11336663,254535241,2872761,2872759,4765552,7533517,11336643,16293145,22461008,24817095,24817096,32453511,37915912,29346970,22014952,15913363,11034941,11034940,256375761,47837195,59234456,61761543,50282060,50282058,53246936,65236483,78526792,85559343,259341924,99316886,85372090,71782785,59041066,47639180,37716806,29156166,255864594,10928849,7230141,4556989,4556988,7230138,10928843,15776918,21847414,15837160,15837159,21922532,29241756,31359437,31257169,31257170,39932111,42435568,33442633,30744575,23323654,23323656,30744583,24914081,24914079,31255339,23770878,23770877,23772650,23770518,17442241,12295311,12295117,8304217,5358075,5358074,8304211,12295105,12296195,8304771,5358349,3293801,1937185,1937186,3293806,5358365,8304803,12296244,17058231,17442306,17442308,23323621,23772610,256009615,35307052,35412570,31240173,31240172,39915646,31255945,23771431,23771432,31255947,39930948,49948194,48042127,44560779,35182367,28639082,21398685,16086172,11172422,7412487,7412489,11172429,16086187,22217643,29563080,23772163,23772166,31256796,31255625,31255624,38129700,38129698,47866948,47866949,44393223,35016986,26935622,26935621,23771525,17442946,17442944,23771520,20194575,14489785,14489784,20194572,27093569,255456915,11172837,11172838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7829563, s2 = 14058028, dlinesl.size( ) = 16 s1 = 86804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11005444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005444, s2 = 16185611, int(edited[s2]) = 0 s1 = 11005444, s2 = 16185611, d1 = 16, d2 = 12 Dl.O(d1) = 24119414,31624802,40313160,50339001,61822172,74613970,65248157,53258759,42805835,42805833,53258758,257831394,53258772,259658961,258404717,52519861,52519862,64393821,52520013,42161818,33201893,25455098,18856288,268296859,33201890,42161813,42161814,52520009,56356140,45303819,35742137,256264854,54527028,54527027,66771904,73711578,68863849,63515752,63515753,66901212,54643854,43900663,43900662,35742139,27512183,20504607,14710453,14710454,20504610,20504615,14710456,14710455,20504613,27512192,35742152,45303841,45303957,35742237,35742236,45303956,55085963,67419467,80856193,67388850,55058246,54527034,43800449,34542163,26564033,19766787,19766786,26564031,20504606,14710452,254699753,4158426,6642152,10115746,14710459,20504622,27512211,34548246,26567234,26567235,34548248,43811103,43800490,34542187,26564043,19766793,14159330,14159329,19766791,26564040,34542180,32592096,32592095,41469070,51738006,51738005,54543180,43811110,34548255,256718953,54543182,257087068,38995305,30405980,30405981,256998551,31804461,31804460,40499607,50534782,61416677,53086665,49235152,39308406,39308407,38589869,37728074,29168016,29168015,21892386,15814766,10959476,7253991,4574623,2773467,1608683,915226,516462,289815,267744377,915225,606266,606267,1079411,1083805,608698,516410,516409,915113,1608491,2773190,4607259,5256042,3212246,1881561,1881560,1874226,1069151,600858,600855,919370,919367,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882522,1914005,1871964,1871963,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914887,518376,290733,160892,160893,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609849,1072857,602789,602786,338584,338585 Dl.O(d2) = 39961531,31286400,23800008,17467314,12314748,8318250,5367690,3299986,1940960,1108748,1108747,1940958,3299984,5367689,8318249,12314746,17467313,22588101,16574797,11555903,7689597,7689595,11555900,11619658,16652136,255494450,16406686,22588730,22588731,23604862,22588943,255100965,7592764,11422858,16406473,12980828,8836360,5758107,3585830,2948879,1710188,972027,972028,1710194,2948890,4893247,4895376,2950205,2950206,2951352,1713924,1713923,2955799,3919241,2346050,2346046,3919233,4862965,2934734,1702023,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2935629,1702445,972185,972186,1710522,2949476,4894205,7731160,7585734,7585735,7691147,7691148,7727771,7727770,6815005,4274584,4274583,4906625,4817259,2903066,2903065,2903241,2903242,4817575,4891102,2947455,2947451,254365933,2947518,4891203,7604676,7696126,4870642,4870641,7696120,11412949,15021725,11426523,11426521,7603805,4810482,4810485,4810956,2899455,2899454,2899888,1682472,956781,539219,302204,302201,539205,956752,1682409,2899794,4811541,7605428,7685358,7685357,10029615,254476235,2470192,1427776,1427777,2470197,3535924,2104627,2104629,1680135,1680140,2895231,4803625,5683606,7622208,11455427,11455426,16441353,22627205,254990078,48479712,59871550,72609785,86207544,100169986,100494065,86535292,271385064,60197616,60197735,259428831,74687125,61893541,50403000,40367586,31672894,24163196,22553241,22553242,29909947,38467519,29909956,29909955,38467532,48368998,39431065,255982917,23399197,30826912,39431063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005444, s2 = 16185611, dlinesl.size( ) = 2 s1 = 11005444, s2 = 16185611, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11005444, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 14045313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14045313, s2 = 140922, int(edited[s2]) = 0 s1 = 14045313, s2 = 140922, d1 = 8, d2 = 3 Dl.O(d1) = 23929992,23741674,23741675,31224937,256464136,30542244,38233124,255517788,22315151,254761970,2847699,4726381,7478501,7478176,4726212,4726211,7478198,11264827,16204827,16205245,16205243,12536384,8498053,5499456,3389071,3389070,5499451,8498045,12536370,17720031,22356764,23290001,23290000,29712284,22356924,16205084,11265016,11265015,16205081,22356921,29712276,30422658,30422656,29712643,29712644,23634276,17318369,17318370,22357199,16205265,11265128,11265127,16205020,16205172,22356746,16204952,16204951,22356739,16205013,11264961,7478275,4726345,2847680,1652252,1652253,2847687,4726360,7478469,11265317,16205553,22357578,24076861,24076860,22357465,16205604,16205603,22357654,22356834,22356833,16205028,16205027,16205143,16204482,16204481,22356065,23448253,22577995,22577994,28523034,28523033,37020884,38279550,38279552,31582564,31582565,33970677,26131930,19436740,13907991,13907990,19436731,22356905,29712261,38278765,29713012,22357536,16205523,11265302,11264950,11264951,16205002,22356804,16205544,11265310,11265308,16205536,22357419,22357420,29711242,22356152,255906501,38277531,29712297,22356931,22356932,29712299,38278800,48188128,40269514,38111788,29548855,29548856,23448278,17172420,16075203,11162693,7404261,7404262,11162698,16075215,22205196,29548807,30878924,30878925,28522035,28522033,22205059,16075134,16075133,22205040,29548591,37020433,28522475,22356244,16204608,16204607,22356238,29711340,38277653,47982684,38070674,29507072,22166812,16044047,11140209,11140210,16044029,11140204,11140205,16043932,11140153,11140152,16043929,22166605,29506798,37020797,29712956,29712955,23119808,22166738,16043999,16043998,22166734,29506975,22205180,16075205,16075206,22205184,23882609,30878920 Dl.O(d2) = 8258693,12121848,11044894,7319882,5264049,5241567,3200434,3200433,5241574,8149767,5221268,5221266,8149489,5221089,5221084,8149472,5263912,3219027,1886228,1886227,1886241,1886239,3219046,5263947,7317130,8258709,8258708,12119022,12137860,12137861,12150502,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,3275214,5328216,3275126,3275127,5328202,8258773,12231069,17360751,23583807,17271183,17271184,12183956,8215051,5285556,5285555,8215050,8235047,12163215,8194144,5263977,5263978,8194147,5315498,5285770,3238044,1899650,1899651,3238047,5285775,8215281,11716720,7817981,7817980,11716718,11482623,7637294,4831760,2911490,2911489,4831759,7637291,10993727,8218043,8198114,5268352,3223047,3223046,3223094,3223093,1911989,1911990,3255028,3264869,3264872,5315618,7493211,4736486,2854456,1899317,1899319,3217344,3217343,3237878,1899559,1084252,608944,338838,186077,101752,101753,186083,338862,608991,1084332,1899680,1090573,615220,342023,342020,615216,1095894,1918514,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897064,3234127,5276211,5241442,5241440,7305183,4627556,2787390,2787391,2852218,1655054,941679,941681,1655062,2852229,3237778,3269422,3269420,3202208,3202207,3212610,5256409,8186970,5275830,5275831,8204546,12172287,8230626,5302281,3253072,3253071,5302280,5239118,3198271,1872154,1067870,1067871,1872156,3198276,254578905,4755099,4611433,2776508,2776509,4597853,2766038,2766039,3202690,3212920,5256765,8187274,5270655,5270654,8200089,7316202,7316201,8195067,5265125,5265126,8195070,8147631,5219588,5219589,4618246,2780858,1613141,917646,917645,1613137,1613230,917686,517679,290413,290411,254123011,1613223,2781030,4618532,7316334,5220110,3184368,3184370,5220114,8148232,12117248,12117256,11045210,7320242,7320241,7820861,11718855,12120141,12120282,17237399,17299636,255475986,8232862,5304953,5304954,5305919,5305918,7822563,4964547,2998524,1741482,989589,989588,1741477,2998509,4964521,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,2997919,4963674,7493691,8292604,7402140,7402141,254777549,7928761,5285558,3237884,1899565,267798235,4735925,3265359,1919288,1919287,3265352,3728633,2232379,1294608,1294607,2232373,1901007,1901005,3240067,5288413,7928640,5306762,5306763,5300231,5300232,4733801,4733800,3257450,2853151,1655697,942057,942059,1082858,608164,338435,338431,608131,1082786,1897068,3234136,3252122,3252123,3252360,3252359,5301612,5294727,3245867,3245866,5294721,8206566,5277389,3257039,3257037,5306855,5298262,254584575,7304260,5272194,3226620,1891723,1079517,606319,337405,185360,101418,101416,185354,337399,606304,1079480,1891649,3226529,5238636,4620044,2781926,1613709,1613708,2781924,4620041,254388071,3174477,3174479,3174618,2788545,2788547,4629056,5281041,7321499,7307599,4611613,2776600,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607005,2771047,4604663,3259410,1914971,1914970,3259405,5309347,8184007,8184010,254577641,3187138,3187139,5224529,7323098,7303362,7303364,11029034,11720820,7823033,4964924,4964922,7314401,7314400,8228559,254760759,7319522,11044658,10578755,10578756,7307315,4611372,4611371,7307313,11032705,12117512,17235773,17293452,12172309,8204569,8204568,5304104,254266097,1091854,1091853,1911881,3254848,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,5246070,5462787,5462783,7493451,7493452,8226427,8226428,12196184,8230214,5301637,5301638,7818575,5462300,3358507,3358508,4961232,7819140,255091257,7490786,7175252,4519833,4519834,4676636,2817421,2817420,2752346,1595508,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,18760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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14045313, s2 = 140922, dlinesl.size( ) = 2 s1 = 14045313, s2 = 140922, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14045313, Dl.E( ) = 14, 1.91e-05 seconds used appending s1 = 7972296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7972978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 88483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039571, s2 = 6554592, int(edited[s2]) = 0 s1 = 14039571, s2 = 6554592, d1 = 30, d2 = 78 Dl.O(d1) = 18695878 Dl.O(d2) = 255910097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009218, s2 = 8029458, int(edited[s2]) = 0 s1 = 11009218, s2 = 8029458, d1 = 1, d2 = 11 Dl.O(d1) = 1821095,3116165,5127299,8037158,11986439,11986424,11986426,8040683,5131098,5131100,5154482,8057629,8023316,5112309,3116815,1821487,1039839,585565,327088,327089,585567,1039843,254256465,1813624,1813623,3103892,3111378,1818159,1038086,1038084,1818150,3111371,3148699,1841980,1051130,591192,591191,1051098,1841742,1841744,3148262,3148265,3148879,3148878,3151421,3151422,5125682,3114738,3114739,3191228,1867696,1867695,3191207,3191208,5229575,5175650,5175649,8076209,8032253,5121643,5121640,8031649,9857506,8031763,5121078,5121018,3111149,1818039,1818037,3111143,5121003,5128055,5128057,8037865,11972201,8022605,5111485,5111484,8022604,11976191,8024327,254821769,5105101,3099142,1810743,1810742,3099140,5105093,8016660,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792795,4941370,2981847,2981848,4941378,7793297,8077900,11686323,11686393,11686471,16729100,11986818,11986819,17074466,22957655,17069659,11986725,11986723,11686162,11686161,16728810,11974522,8020281,8020282,9858897,9858896,14348918,20031899,26916197,29821969,22454736,16715634,11673831,7782811,7782812,6476019,4058222,2428988,1405071,1405073,2429003,1405101,799612,799610,1405091,2429040,4058309,4935875,4935871,7785941,11633666,11633667,16667902,14348237,9858286,9858285,11633817,11676183,7784858,4934966,4934962,4934912,2977485,1728193,982430,982431,1728195,2977489,4934918,7784738,11633919,16668227,17067141,17067140,22899191,16731442,14519527,14519524,16716779,11675009,7784674,7784673,7750112,7750111,11633460,11675899,16717730,22954361,16734269,16734268,16714023,11672233,11672234,8058736,7936327,5046707,5046705,7936343,11872827,16960943,16714061,11672260,11672261,16714070,22950882,30352549,30356581,29195507,21883419,15807365,10953680,10953678,11435250,7603243,4810066,4810065,7603237,11435239,16419224,22602404,16714048,16714047,22898017,30296608,38882383,39244538,39244539,39387279,38942494,33205099,30701872,23286046,17026856,11941895,11941897,16732735,11690087,7796338,7796339,11690089,16732741,22968547,30370021,38564498,29994238,28993458,255125094,17084332,11996734,11996733,17084329,23351791,30687419,28993446,28993447,37538790,30685184,23371684,23371683,30778155,30778156,255525196,27230868,20301606,14569051,14569050,20301603,27230863,35354061,38303957,29735982,29735980,23356622,17088415,12000966,254561864,5145312,8054423,12000974,17088420,23227807,17025071,11940089,11940090,17025072,23284205,23364847,17102885,12017245,8076589,8076588,12017241,12599224,8550174,5548789,5548790,8550176,12599230,15669768,11867341,7931706,5042490,5042491,7931712,11867348,11995521,11995522,12017137,15379856,10628146,10628147,15379857,15177642,11921734,7975956,5075599,5075598,7975951,11921727,12011024,8068862,8025211,8021258,8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064371,7961363,10847218,10847219,254252582,10588551,6984850,6984849,10588550,11326928,11326927,11493498,16496240,16285655,11327302,11327303,10771171,7116793,254253610,4481094,2692413,1559811,886823,886822,592191,330172,330175,592167,1053124,1023402,1023404,1793917,3074938,254175062,11915653,17002487,267756882,15572906,10772115,10772114,9163633,9163632,13403409,10770314,10770315,7678881,4858843,2928096,2928095,4858840,7678877,11542184,16559181,22774158,23692046,17369551,12237349,8263170,8263174,11999035,11251292,7468732,5173004,5173006,5129497,3117914,3117916,5129501,3130801,1830239,1830240,3130788,3144877,1839536,1049788,590550,329421,329420,590544,947310,1665208,1829486,1044169,1044168,1829483,3129507,5144108,8050627,5141303,3127254,1828148,1828147,1829478,3129497,5118614,8018219,254821873,8042387,8066393,8066391,11997555,8050170,5228117,3189855,1866735,1866732,3142186,3142187,2870186,2870185,3097713,5103108,5104636,3106752,3106753,3150417,3150416,3155921,3191169,3191170,5168182,5168181,3152871,1844823,1052755,591983,330075,330073,591978,1052749,1813669,2870983,1666213,1666214,2870990,4762753,7529578,5126415,3115411,3115413,5126420,8036441,11986027,8056093,8056092,8156793,8065632,5159311,3142682,1838036,1048900,1048901,1838037,3142686,5159318,5144671,3129981,1829785,1044347,1044346,1829783,3129976,1831297,1831299,3125380,5138976,8048710,8048703,5138972,5138971,5128939,3117465,3117466,1866560,1866558,3108534,5117581,8028441,8056614,5147747,3132437,1831234,1831233,1777091,1040060,585677,585678,1040052,1821907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Dl.O(d2) = 17667768,20244291,20244290,24026455,17675955,17675954,24026453,21470676,15468517,15468516,12497994,12497993,17673508,12498032,12498031,17673589,22309973,22309974,29662620,31525382,31525343,31525345,38056642,31525300,27155981,27155980,24023467,17673603,17673601,24023460,22153545,255148762,11132743,16033352,20244480,27156179,35255242,35255274,257031086,40204063,31517405,31517406,27155986,20244343,14526507,9995215,6568935,6568937,9995220,14526522,20244375,27156035,29492645,22153568,16033364,11132748,11132750,11132760,16033385,22153590,29492676,24007949,24007925,22153622,22153621,20244495,14526596,9995262,6568956,4115061,2461423,2461424,4115065,6568960,9995272,14526621,15468507,15468508,17669138,17669137,20244407,27156081,29492625,35255085,35255084,40193122,40203917,40203916,38056728,38056727,35255055,27156051,27156050,24016171,20244357,20244356,20244349,20244351,27155998,31517800,24016326,17667966,17667967,22153554,22153555,29492614,31517519,31507437,24007954,17661859,17661848,12489538,12489539,17661900,20244459,14526568,9995248,6568949,6568947,9995232,9995267,9995268,12498176,8466020,8466021,12498182,12494675,12494676,17669148,24017766,24008027,17667958,12493738,12493737,17667952,17919216,24302707,31517329,24015934,24015931,31517324,31517577,31517578,27156038,27156040,24016183,17667875,12493692,12493693,17667880,17667976,24016343,31517697,31507465,24007974,17661872,12489524,8459269,5465843,5465844,8459276,12489544,17661910,24008042,24016225,31517659,40204255,257665289,40193106,31507510,24008007,24008008,31507513,40193110,35255191,35255192,35255261,27156200,27156201,24023843,17673878,17673877,24023839,31525779,31526966,40211700,31527251,31527250,40213113,50233555,257666611,40213154,50232350,40211504,256030157,17674995,17674994,24025223,31527263,31526631,31526577,24024781,17674769,12498969,12498968,17674764,24024772,31525678,24023763,24023764,31525686,31525739,24023797,17673853,12498214,12498213,17670086,24018880,25271002,25271001,32995166,35255219,31526960,31526957,24025296,17675040,17675039,24025289,24025346,24025347,17675081,17675080,24025374,31527492,31526803,31526805,31526829,40212606,31527231,31527232,31527217,24025233,17675004,12499090,12499088,12499098,17675014,12499148,12499150,17674800,12498983,8466687,8466686,12498979,17674788,24024810,31526618,31526614,31526615,31527088,40212294,40212293,31527156,24025164,21829229,15761169,15761170,21829216,21829215,29136506,31517527,31517529,40204163,31526718,24024885,24024884,24025077,24025078,31527031,37974830,37974831,47892658,50233133,40212569,31526801,24024935,24024936,17674954,17674952,24025103,24025105,24025184,17674974,12499073,8466728,8466705,5472565,5472566,8466712,8466758,12499142,17675102,24025410,24025398,24025396,31526762,31526764,40212513,40212946,40212947,40212894,37697243,29136518,21829220,21829219,29136512,37697233,47620449,40212382,31526677,24024858,24024859,31526681,31526720,40212446,47620478,50233367,50233592,50233206,50233205,59486842,50233178,40213271,31527397,24025310,24025309,31527391,40212885,40212884,40212676,31526875,24024980,17674872,12499024,12499012,12499011,12499029,17674889,24025012,24025168,24025167,31527168,31527187,31527186,33114897,33114895,42063737,48098209,38186659,29619614,22268649,16127622,11203393,11203394,16127627,22268665,29619645,38186711,38186633,38186632,40212658,31526860,31526859,38186597,40212632,40212627,40212628,40212640,31526892,31526738,31526737,40212480,48098233,40212621,33114919,25379669,18794900,18794901,25379672,33114924,42063775,40213249,40213250,50233683,50233078,40212496,40212495,42063752,42063754,48098435,48098433,48098147,48098067,38186569,38186570,40212462,43361203,38186608,29619588,22268638,16127614,16127613,22268632,29619579,38186591,48098108,49171580,39246402,39246401,40212644,40212646,48098060,38186578,38186579,39246387,30650612,30650615,39246394,49171567,39958055,39958056,31528201,31528202,33114914,31527963,31527962,40213758,36535872,28069054,28069052,31527951,40213746,50234014,47649889,42063760,33114908,33114909,37728091,40214099,40214100,50234038,40213767,40213768,46881318,50233818,50233816,48098129,48098127,40212744,31526930,31526932,40212750,49171592,49171591,40213862,40213863,38349201,29777189,29777190,23228938,16955862,16955863,23228940,28504921,28504920,30281946,22884336,22884338,21286080,21286079,28504879,37002658,46881371,48386946,38484257,37002640,31778338,24265836,24265837,31778344,40213776,40213777,50234044,40214074,40214071,50234312,47296165,37386800,37386801,47296167,50228532,40207180,40207179,50228527,50229142,50229141,40207942,40207943,50229166,59208023,50068257,40048955,40048953,38349169,37591494,37591495,38867765,30282095,22884417,16655648,16655646,22884412,30282083,38867735,40207207,31521381,31521380,40207204,40207228,38867504,38867499,48789637,60186184,61709238,60186172,52272992,48789788,38867770,38867767,46881481,42440109,38618320,38618321,42440116,42440117,42440144,40207320,31521454,24020044,24020046,31521464,40207331,37839984,31521474,31521476,40207352,46494525,36885440,28388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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009218, s2 = 8029458, dlinesl.size( ) = 2 s1 = 11009218, s2 = 8029458, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11009218, Dl.E( ) = 12, 1.81e-05 seconds used appending s1 = 10142096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6430433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8248576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 57522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 57522, s2 = 6470707, int(edited[s2]) = 0 s1 = 57522, s2 = 6470707, d1 = 0, d2 = 5 Dl.O(d1) = 1227126 Dl.O(d2) = 254893633,18233124,256078601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 57522, s2 = 6470707, dlinesl.size( ) = 2 s1 = 57522, s2 = 6470707, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 57522, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7806662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6430965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8186702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10991678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991678, s2 = 1378043, int(edited[s2]) = 0 s1 = 10991678, s2 = 1378043, d1 = 16, d2 = 12 Dl.O(d1) = 257124134,40850982 Dl.O(d2) = 35085454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991678, s2 = 1378043, dlinesl.size( ) = 2 s1 = 10991678, s2 = 1378043, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10991678, Dl.E( ) = 30, 1.38e-05 seconds used appending s1 = 7592049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9690512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8427267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8427267, s2 = 9090657, int(edited[s2]) = 0 s1 = 8427267, s2 = 9090657, d1 = 11, d2 = 13 Dl.O(d1) = 106863148,92544663,92544664,260319905,106863146,92544662,78499250,65211140,257236937,25934834,19272365,19272364,25934832,33742028,27138779,27138778,25872986,25872987,24603264,18155339,18155340,18402596,19271660,16145446,13775262,9444049,6191120,6191121,9444054,13775277,13776512,9444863,9444859,13725008,9401745,9401746,13725015,15207921,10490433,6917366,6917365,10490428,15207913,21164478,18155299,18155300,22289051,22289050,19271448,13775065,9444727,9444726,13776141,13776293,19272994,15440023,10674335,10674337,13061480,11216734,7442490,6191438,3874829,2320380,2320381,3874822,6191427,9444617,13776131,11216653,7442446,7442445,11216646,16145366,22289309,19273263,18402543,13071222,13071221,18402548,24906716,25873723,21962474,18387704,13060952,8900190,8900191,13060961,9401529,6159531,6159529,9401518,13724449,13724450,18388604,13061533,13061532,9401490,6159516,3854096,2309114,1339711,765182,765183,1339712,2309117,2320338,3874752,6191302,9444398,13775029,9443881,9443882,13775031,255694997,19214389,19214387,24587681,18143125,12865643,255220135,6191183,254665689,13775517,13776645,18387588,18387587,255288231,9444459,6191336,3874769,2320349,2320250,2320252,3874606,6190996,9443567,6191156,3874681,3874680,6191147,9444098,13060890,8900157,5807795,5807797,6159520,8289651,12274870,8900253,5807843,3622612,2163247,1251553,1251555,2163255,3622633,5807880,8900334,13061234,13775897,19272495,25933758,19271315,13774984,13774985,9444358,6191282,3874743,3874741,6191272,9444340,13061299,18388246,18388325,18388327,13775581,9444216,8900645,8900644,13061705,18388820,24887656,18388210,18388209,13775375,13775320,13775322,18826347,13774798,13774800,19271087,19214479,13724623,13724622,17415656,18388357,18387868,18387762,13060987,8900211,8900210,8900287,8900285,13061134,9443990,9443989,13775193,19271576,16133676,255461131,29628455,33159697,33159120,25418112,255259556,29628440,22276545,22276548,29628445,27019763,20128607,14436501,13413592,9171286,9171288,13413517,9171346,6002754,6002751,9171335,13413672,16834335,16132966,11206993,11206991,16132959,11772457,7859812,4988518,3013120,1750207,1750208,3013127,4988532,7859838,11772504,16834513,23088156,23575649,23575647,31059251,36718816,33740954,30502041,23088209,16834546,16834543,23088201,24886899,24886898,31124737,23638804,18387581,18387582,24886908,25873474,25418470,18826697,13413574,9171274,6002709,6002710,6002704,6002706,9171232,9171394,13413768,18826967,25418815,33159876,269078655,64334463,77498839,91430078,105656613 Dl.O(d2) = 119895836,106863151,106863150,119895831,105656606,91430068,77498835,77498834,70303023,57612541,255936964,27957259,268551420,33631338,42660397,42660398,33631340,25829132,254981428,9378686,6143982,6143983,9378687,13694510,19177046,25829133,33631341,42660399,53112284,52054092,41739511,32818688,32818615,25114873,18564318,18564317,25114870,32818610,35009850,35009851,30443797,23036368,23036370,255570352,28793628,21528763,21528764,28793631,35202715,27112773,27111904,27111905,32818386,32818385,26150294,26150295,33991763,32991367,25267446,25267445,23927836,17586271,12413388,8390023,8390019,12413376,17586246,23927792,31417778,26598626,19792551,19792552,19803776,24047412,21899087,15820187,15820185,21899083,22824910,16604181,11580265,7707956,4878154,2939287,2939288,267895757,3844454,2303635,1336844,763609,434376,434377,763611,434379,245296,135491,73680,39822,21883,21881,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12223,6776,6779,12238,21946,12375,12376,22248,254073353,137193,248379,254115089,254210189,1382293,1382294,2353897,1363519,777068,441095,248683,137367,137368,248687,441101,248956,248957,441730,439581,439580,774170,771654,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438381,438376,441988,779188,1368292,2363159,3946862,2387295,1382016,254211465,3983276,6348577,9654877,14041861,19597311,26003676,255291171,9480373,6216414,3890901,2329617,2303646,2303647,1350190,1350195,254208133,763616,763613,1336849,2303644,3844471,6144007,9378710,255282919,25829158,33631365,257230345,257230347,269527371,65099153,78382998,78382999,259697085,106726083,120978388,134774814,147893423,160142784,171363159,262266988,153394130,261753526,140712372,260629866,259412288,85529738,269353776,47803150,47803151,37879490,29310625,21982735,15886991,11504660,7652892,7652891,11504658,16502064,13143477,11502819,255108877,22711272,24744464,24744465,18271364,18271365,24744466,32360751,41176539,51362734,63043941,76026792,76026791,76026793,63043935,51362728,41176535,41176534,51362726,63043933,63043936,257145061,32360749,24744462,18271361,12967567,8826289,5750989,3580923,2133826,2133827,3580925,5750990,8826291,9404017,6161118,3855061,2309698,2309697,3855058,6161115,9404011,13728048,19218806,19516739,13970565,9593314,6298176,6298175,6210861,6210862,9472428,255290399,25985936,33799214,42835027,53289861,65281167,78430853,78430852,78430851,92467087,106772763,121026539,134824494,147944184,150369473,261653580,137328710,261053874,126209815,126209816,112349579,98367183,84457780,257392812,46822112,36944237,28444675,21218725,15249884,10520445,10520447,13674213,19150047,25795495,33591407,35381549,27256464,20322935,14584751,268179263 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 206005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 56024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 56024, s2 = 11050317, int(edited[s2]) = 0 s1 = 56024, s2 = 11050317, d1 = 0, d2 = 0 Dl.O(d1) = 1197237,2082374,2081801,1196983,1196980,2081829,2135859,1232624,697831,391552,391551,697827,1232615,254290713,5755213,254895779,18281130,24756801,32375912,40913597,32467686,24828640,18335718,13015931,12846808,8736247,8612792,8612793,12681004,17901172,24281768,20912175,20912174,24828654,18335726,13783119,9450030,6195406,6195407,255266004,9751899,6412025,6412026,9751845,7265318,4581751,4581750,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14594372,14173625,14173624,19787788,26593012,30848249,23417938,17141863,12047253,8099367,5188999,5189000,8099369,12047257,17141870,23417948,268406508,30068240,38643469,31232949,23749507,23749506,19791765,14176529,9745911,6408429,6408428,9745907,14176523,19791748,26597687,34584809,29216862,21902561,15822726,15822725,21902559,29216860,26612469,19804313,19804314,26608012,26608011,34595256,42734621,47697734,37777154,29216061,29216059,37777136,43936815,40315997,31628244,27211585,27211586,25540470,254680638,29393051,29303616,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,20246329,22820383,21900317,15821072,15821071,21900316,16137922,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,4988755,7860294,11773344,16835902,12022456,12022455,17108343,23378111,30806246,30612816,30612817,30808181,23379849,23379848,23379865,30808194,31843087,255302038,26610065,26610066,255302042,46748895,53731307,43219250,43219249,53731468,46748897,46748896,46748881,255711806,51515818,63229682,256701010,32456699,24819841,24819840,32456696,26747320,26747321,34775151,256768774,42446817,255345262,25682126,33453693,34337242,26453739,26453740,34337245,43449830,53995277,63440845,54968590,51841871,41557236,39546784,30931300,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007 Dl.O(d2) = 1197237,2082374,2081801,1196983,1196980,2081829,2135859,1232624,697831,391552,391551,697827,1232615,254290713,5755213,254895779,18281130,24756801,32375912,40913597,32467686,24828640,18335718,13015931,12846808,8736247,8612792,8612793,12681004,17901172,24281768,20912175,20912174,24828654,18335726,13783119,9450030,6195406,6195407,255266004,9751899,6412025,6412026,9751845,7265318,4581751,4581750,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14594372,14173625,14173624,19787788,26593012,30848249,23417938,17141863,12047253,8099367,5188999,5189000,8099369,12047257,17141870,23417948,268406508,30068240,38643469,31232949,23749507,23749506,19791765,14176529,9745911,6408429,6408428,9745907,14176523,19791748,26597687,34584809,29216862,21902561,15822726,15822725,21902559,29216860,26612469,19804313,19804314,26608012,26608011,34595256,42734621,47697734,37777154,29216061,29216059,37777136,43936815,40315997,31628244,27211585,27211586,25540470,254680638,29393051,29303616,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,20246329,22820383,21900317,15821072,15821071,21900316,16137922,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,4988755,7860294,11773344,16835902,12022456,12022455,17108343,23378111,30806246,30612816,30612817,30808181,23379849,23379848,23379865,30808194,31843087,255302038,26610065,26610066,255302042,46748895,53731307,43219250,43219249,53731468,46748897,46748896,46748881,255711806,51515818,63229682,256701010,32456699,24819841,24819840,32456696,26747320,26747321,34775151,256768774,42446817,255345262,25682126,33453693,34337242,26453739,26453740,34337245,43449830,53995277,63440845,54968590,51841871,41557236,39546784,30931300,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 56024, s2 = 11050317, dlinesl.size( ) = 2 s1 = 56024, s2 = 11050317, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 56024, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9789189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2548489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13184901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7837512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7837368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 116328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8081720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13788227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15192088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9796903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9796903, s2 = 193196, int(edited[s2]) = 0 s1 = 9796903, s2 = 193196, d1 = 1, d2 = 9 Dl.O(d1) = 7402336,4676353,4676352,2817470,1634523,929502,523927,293606,293605,523923,929491,1634500,1595503,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,611781,611779,1089596,1908292,2851904,1654841,1654842,1085741,609675,339182,339183,609681,1085754,1901424,1901425,2852699,1888044,1888045,1095115,614762,614761,1095111,1917314,3215521,1883795,1883794,3215517,5260110,8190878,5268119,3222835,1889082,1077988,605470,605472,1077995,1889097,3222864,5264472,5313569,5313570,4676360,4676361,4731462,3260162,2787483,2787484,1897504,1897509,1975088,1893668,1893667,3229260,3229266,1901411,1085339,1085337,1901408,1608845,915337,516515,516514,605184,605189,1077428,605145,605149,605216,1077513,1888412,1608205,914908,914907,1608202,1608209,914915,914913,914979,1608305,2772912,3201204,5242420,5301349,8174467,5244003,5243936,3202528,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,945327,1070741,1070742,1876888,3205151,5247084,7578063,5247198,5247196,5272137,5013081,5013080,7892385,8164738,5861149,3659047,3659046,4790601,4790599,7574472,11316488,7513955,4749982,4749983,5247003,3205081,3205079,5243685,3202319,1875035,1069648,601139,601140,1069668,1676914,954056,537919,301560,166964,91911,50709,28487,28486,50704,91884,166867 Dl.O(d2) = 4570936,254753517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9796903, s2 = 193196, dlinesl.size( ) = 2 s1 = 9796903, s2 = 193196, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9796903, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 885366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 885366, s2 = 11028688, int(edited[s2]) = 0 s1 = 885366, s2 = 11028688, d1 = 73, d2 = 50 Dl.O(d1) = 22602820,16419654,16419655,19096923,21626193,15595413,15595412,21626185,22722509,17281700,17281701,17803990,20340342,20340340,27276315,24240162,24240160,27276299,32740151,25050136,18513578,18513577,25050132,22719740,16514727,16514728,22719741,20861045,20861046,22719731,20823091,18663339,16794724,16794725,23039436,18693596,13300590,13300591,15861702,10993897,7277827,4589833,2761419 Dl.O(d2) = 256162248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 885366, s2 = 11028688, dlinesl.size( ) = 2 s1 = 885366, s2 = 11028688, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 885366, Dl.E( ) = 94, 3e-05 seconds used appending s1 = 14274721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14274721, s2 = 7999795, int(edited[s2]) = 0 s1 = 14274721, s2 = 7999795, d1 = 15, d2 = 11 Dl.O(d1) = 3358764,1974609,1974608,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,1087140,1087129,1087130,1904239,3243588,3243589,3201388,1874389,1096243,1096242,1919116,1886486,1886485,3219379,3359211,1974884,1974885,3223450,5260138,5260076,3231570,3231569,1895262,1453494,1453492,1888295,1077423,1077422,1888290,1096273,615427,342144,342143,615424,1096266,1919155,3265161,4733657,2852254,1655078,941686,941685,1655073,2852247,4733652,7490081,5294356,5294355,5285783,3238056,1909227,1909228,1915486,1915485,3260048,4629346,3223459,1889459,1889458,3223457,2772757,2772756,3267113,3267114,3195912,1870769,254261637,254578639,5301167,5319571,3268414,1921542,1921541,3268411,5319566,8247745,12146673,255466289,11256209,7472387,4722363,4722362,7472385,8241468,5313224,3262637,1917297,1917296,3195775,1870677,1870678,3195777,3202574,254347017,1609778,1609750,1609749,2775051,2774972,2774973,4609229,7304766,7327404,5270507,5270508,8199988,11043620,11028236,11028235 Dl.O(d2) = 2887563,4790450,7574266,11399179,16379021,22556912,29188558,25605854,25605855,24111434,17751071,12559810,12559809,17751069,24111427,24280756,24280758,31794546,33471698,33471697,37607433,37607432,33417436,28374649,21157580,21157579,19035689,13587758,13587757,19035685,25654477,25654478,33423050,29802298,29802299,30038940,25698612,19155393,19155392,22834653,17445571,12297413,12297414,17445574,19126578,19126579,25654384,25654383,33422988,25767594,25736423,19127829,19127827,21762852,21762850,22663192,16468558,16468559,22663198,30038811,22663243,22663245,21998402,15899078,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413261,24246499,25134888,18581104,18581105,19145537,19145538,25790545,27213493,27213494,35337675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14274721, s2 = 7999795, dlinesl.size( ) = 2 s1 = 14274721, s2 = 7999795, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14274721, Dl.E( ) = 20, 1.6e-05 seconds used appending s1 = 9744925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9798599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6535841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13461785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 587683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 468558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 468558, s2 = 1041289, int(edited[s2]) = 0 s1 = 468558, s2 = 1041289, d1 = 59, d2 = 3 Dl.O(d1) = 11887485,11887486,254569506,7940267,11877640,16965791,16965559,11931108,7984188,5081497,5081498,7984189,10961112,7255432,4575885,2753091,2753092,4575888,7255439,255061439,17265847,12145445,11722780,7825217,7825216,255126971,17284502,12163783,10937056,7236687,4562090,4562091,7236689,10839556,7165814,7165813,10839553,15658396,21698073,255954807,17655905,12485216,8456222,8456221,12485214,11688048,11039885,7314305,254760235,15917700,12151479,12151478,12145457,8175238,5244796,3203348,2999779,2999780,4966699,7825225,8194997,5265055,5265056,4624651,2785016,2785017,1887045,1887043,3220090,5265101,5224011,3186816,1864876,1864874,3186809,5223998,8152961,7316599,7316601,8146993,5219054,5219053,8146991,5252151,3209301,3209299,5252147,8182378,12151943,16769166,11723043,7825486,254759541,4611195,2776377,2776378,254519501,3000568,267834919,11724158,16769713,11723839,7826372,4967604,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958031,1958030,2846163,1651289,1651288,2846157,4676169,4676170,4962932,2997328,2997330,4962940,7820805,11159979,11159978,11718901,7820924,4963045,2997386,2997385,4963041,7820916,255158079,8173367 Dl.O(d2) = 26336429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 468558, s2 = 1041289, dlinesl.size( ) = 2 s1 = 468558, s2 = 1041289, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 468558, Dl.E( ) = 72, 2.81e-05 seconds used appending s1 = 32396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15107613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11039814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 430806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057083, s2 = 9106462, int(edited[s2]) = 0 s1 = 14057083, s2 = 9106462, d1 = 20, d2 = 28 Dl.O(d1) = 36956796 Dl.O(d2) = 1026879,1026881,1016727,1016729,578509,578508,1020099,1020102,1026533,578363,576048,576049,1022375,1779939,1789561,1021804,1021806,581167,581165,1031296,1790402,1790403,1031498,581284,325071,325070,574873,1020238,1030874,1789953,1780813,1780642,1015361,572337,572338,1015366,1780647,3055549,1782812,1782813,1801291,3085533,5044942,3055421,1780520,1015285,1015286,1780523,3055423,1781755,1781756,2709681,1569747,1569746,1016335,1016334,1015081,1015082,1780190,1029630,580175,580172,1029623,1572431,1572433,1806615,2714256,1572558,894101,894100,1572551,1572193,893889,504308,282781,282780,504297,579509,579505,1028437,1801759,1796679,1572754,894226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057083, s2 = 9106462, dlinesl.size( ) = 2 s1 = 14057083, s2 = 9106462, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14057083, Dl.E( ) = 44, 1.31e-05 seconds used appending s1 = 9798879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7956590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7956590, s2 = 922624, int(edited[s2]) = 0 s1 = 7956590, s2 = 922624, d1 = 73, d2 = 66 Dl.O(d1) = 42207323,33245720,25495259,25495261,26118115,19424778,13898246,9537444,6256861,6256860,9537439,256655446,4759290,4759289 Dl.O(d2) = 23416837,23416838,30847062,30845775,30845774,39449895,41282005,39448003,256522694,12044392,8097133,8097132,255149429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7956590, s2 = 922624, dlinesl.size( ) = 14 s1 = 9792445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9791817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9791817, s2 = 6782261, int(edited[s2]) = 0 s1 = 9791817, s2 = 6782261, d1 = 61, d2 = 22 Dl.O(d1) = 1064473,1866084,3188885,5227073,254820198,5171399,8076296,12017016,11331703,7529300,4762489,2870799,1666101,947737,947739,1666114,2870831,4762530,5112525,7528640,4761826,2870357,2870355,4761820,3133170,3133173,5148627,8057276,7529778,4762947,4762948,5149487,5149485,8017234,5105748,5105749,5137472,5116724,5116725,3138569,1835244,1827595,1827594,2819378,1635654,930113,930114,1635659,1818472,3017428,3017430,3111874,5122001 Dl.O(d2) = 258395456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9791817, s2 = 6782261, dlinesl.size( ) = 2 s1 = 9791817, s2 = 6782261, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9791817, Dl.E( ) = 74, 3.22e-05 seconds used appending s1 = 13202711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 145786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9802053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9792431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6492905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6492905, s2 = 52110, int(edited[s2]) = 0 s1 = 6492905, s2 = 52110, d1 = 11, d2 = 6 Dl.O(d1) = 255180609,8391104,5414997,3328817,1957757,1118316,1118314,1957750,1118383,627495,254135653,1118335,1563664,888935,888936,1563665,2699184,4492710,7135994,254515543,2752756,1595777,907191,888291,501180,501182,531626,531627,942623,1656699,2699905,1689140,960581,541384,541382,960574,907245,907242,1595881,1888166,3221741,5266991,7530655,4763718,4763717,3221455,1887987,1887986,3221454,1893979,1080959,1080958,1609463,915728,915726,1085161,1888462,1888461,1617979,1617978,1905703,1905704,3224902,1890509,1078782,254181573,1077964,605454,336955,336956,605456,1077967,1889030,1904076,1086990,610327,610326,1086988,267755135,612467,254104703,337287,606099,1079101,1069830,1069827,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068739,1093078,1093077,1913992,3218817,3218818,5253743,5253742,254781868,3235249,1897861,1897862,1905778,3246728,5255582,3211843,1881220,1073209,602989,602988,914345,914347,1073256,1073255,1881205,1073199,1073198,608429,338574,338573,608421,919525,1616633,2786795,4626863,5243386,3213811,3213812,5257926,3767243,3767245,4626442,7303194,4607659,2773567,2773568,2773551,2773552,3210572,1880386,1072750,915299,516498,516496,915289,602063,602064,335387,184413,100993,100994,55698,55702,101044,184516,335587,602584,517070,517071,916421,1610764,1881758,2777058,2777057,4612183,7308162,4623428,2784144,267789403,917999,918001,1612438,2779525,4615841,4612070,2776974,1610953,1610954,2776981,2780561,1880600,1880602,3210852,4613730,4613731,7309906,8184649,5269350,3224037,3224036,5269347,5249284,267906075,7315325,5290645,5255304,3211602,3211601,5255301,5253597,3210331,1880264,1864011,1864007,2784270,1614977,1614978,1863962,1879841,1879840,1072489,602607,602610,1072501,1879909,2782881,4621442,2783676,2783674,4622747,4623083,2783902,1614769,1614771,1880440,1880437,2783417,4622307,5251946,7321331,7326250,7824917,7824920,5249968,3207491,1878419,1071644,602168,335352,184397,184400,335362,602189,1071692,1878509,2784229,2783521,2783522,4622517,7321175,7319546,4621260,2782768,1614166,1614167,2782772,4621264,7319561,8182659,8182660,8258696,12150265,8244867,5316546,267798879,1096484,1096485,254266931,254586209,11045081,7320101,7320102,11033529,8180617,5250188,3207654,1878524,1878523,3207615,5250136,8180493,5250076,3207581,3207582,5250079,8180497,8180610,8180611,12150745,17271730,17236420,254832521,8149637,12118508,8258663,8258664,254579997,3207311,1878324,1878325,3207314,5249711,8180042,12137381,8167359,8167360,255157655,12150500,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564 Dl.O(d2) = 8206982,5277839,3231636,1895308,1081748,607552,607553,1081749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6492905, s2 = 52110, dlinesl.size( ) = 2 s1 = 6492905, s2 = 52110, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6492905, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 7893099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9804351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9750569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9750569, s2 = 10344098, int(edited[s2]) = 0 s1 = 9750569, s2 = 10344098, d1 = 1, d2 = 1 Dl.O(d1) = 4933760,2976540,1727540,1727539,2976537,2976555,4933774,7783547,254805597,11915209,7970425,7970426,7782700,4933063,4933062,254247129,982169,1727708,982154,552977,309479,171194,94224,51994,29262,29263,52000,94235,171215,309520,553071,982345,1728064,2977285,4932540,2982990,2982991,4931661,2976747,2976746,4934022,3296574,1938845,1107487,621489,621491,982375,553085,553088,982383,1728112,1728417,1728415,2977855,2978332,4934595,2977251,1728445,982743,553280,553279,553996,984077,1728775,1728776,2978358,1938868,1938867,2977292,2977291,2977378,2977379,2977517,2976658,2976656,4933909,3298672,1940087,1108199,1108200,981627,552729,552727,310065,310064,553645,983425,1729901,2974771,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,1728550,1728522,982604,982605,982569,553914,309956,171438,171439,309963,553930,554198,984474,982729,553269,553271,982735,1728745,2978308,3298631,1940058,1940059,1938880,1107503,621499,345389,189551,189550,345629,621921,621933,1108241,1940170,3298783,5365964,8315831,11681171,254552875,4931516,2974849,1726454,1726455,2974851,4931523,7780977,11671970,7785770,4935731,4935729,4941952,2982201,1731145,984119,554019,310000,309999,554012,984106,1731121,2982165,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732547,1732546,2982355,4942180,7794454,7785874,4935807,2978323,2978322,4936068,7786208,7792200,4940569,4940570,7792202,11685186,16714419,16728140,11685456,11679565,7792513,254369655,1730747,1730748,2981527,4940837,7792515,11678103,7786595,7786594,11678101,11685462,11685463,16727817,11685125,7792158,254383264,254384672,8315870,8315871,7786194,7786193,11677556,16719264,21712068,16728110,16719296,254390094,7786218,11677592,7792380,7792381,11681245,11681244,16722879,22958729,21708347,21708348,16732342,11689726,267902550,5062375,5062379,7958700,5067703,267900873,7952790,7952791,11893483,9168165,6000604,3752662,3752663,5061256,267900721,4700578,4700577,267974705,254569710,16984286,11898574,7983152,7983151,11671932,11090394,7355150,4646188,2798731,2798732,4646193,7355161,5061264,5061263,7957365,11898923,267769932,7939810,11876948,14448737,14448736,16990298,254822466,7978060,11882106,11882107,16139110,11211344,7438852,7438853,7991855,5086844,5086842,7991869,11940936,8071535,5165345,3147646,1841244,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073719,5073837,7973465,7973549,7973574,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,5129718,3118093,1822330,1822333,3118106,5129757,7958409,7941667,7941665,6000359,3752506,3752505,6000355,8584560,11681391,16723034,11924431,7978373,7978374,5164017,5164019,8069741,5164044,3146834,1840798,1050495,1050494,1840794,3146824,254567862,5087831,7965351,5067570,5067571,5067581,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,7937228,5047511,5047509,5052796,7945148,11884228,254824080,39255776,255979960,71659435,257478096,37650852,37650853,47556153,47556155,47556154,256898474,259956189,259266942,258015716 Dl.O(d2) = 4933760,2976540,1727540,1727539,2976537,2976555,4933774,7783547,254805597,11915209,7970425,7970426,7782700,4933063,4933062,254247129,982169,1727708,982154,552977,309479,171194,94224,51994,29262,29263,52000,94235,171215,309520,553071,982345,1728064,2977285,4932540,2982990,2982991,4931661,2976747,2976746,4934022,3296574,1938845,1107487,621489,621491,982375,553085,553088,982383,1728112,1728417,1728415,2977855,2978332,4934595,2977251,1728445,982743,553280,553279,553996,984077,1728775,1728776,2978358,1938868,1938867,2977292,2977291,2977378,2977379,2977517,2976658,2976656,4933909,3298672,1940087,1108199,1108200,981627,552729,552727,310065,310064,553645,983425,1729901,2974771,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,1728550,1728522,982604,982605,982569,553914,309956,171438,171439,309963,553930,554198,984474,982729,553269,553271,982735,1728745,2978308,3298631,1940058,1940059,1938880,1107503,621499,345389,189551,189550,345629,621921,621933,1108241,1940170,3298783,5365964,8315831,11681171,254552875,4931516,2974849,1726454,1726455,2974851,4931523,7780977,11671970,7785770,4935731,4935729,4941952,2982201,1731145,984119,554019,310000,309999,554012,984106,1731121,2982165,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732547,1732546,2982355,4942180,7794454,7785874,4935807,2978323,2978322,4936068,7786208,7792200,4940569,4940570,7792202,11685186,16714419,16728140,11685456,11679565,7792513,254369655,1730747,1730748,2981527,4940837,7792515,11678103,7786595,7786594,11678101,11685462,11685463,16727817,11685125,7792158,254383264,254384672,8315870,8315871,7786194,7786193,11677556,16719264,21712068,16728110,16719296,254390094,7786218,11677592,7792380,7792381,11681245,11681244,16722879,22958729,21708347,21708348,16732342,11689726,267902550,5062375,5062379,7958700,5067703,267900873,7952790,7952791,11893483,9168165,6000604,3752662,3752663,5061256,267900721,4700578,4700577,267974705,254569710,16984286,11898574,7983152,7983151,11671932,11090394,7355150,4646188,2798731,2798732,4646193,7355161,5061264,5061263,7957365,11898923,267769932,7939810,11876948,14448737,14448736,16990298,254822466,7978060,11882106,11882107,16139110,11211344,7438852,7438853,7991855,5086844,5086842,7991869,11940936,8071535,5165345,3147646,1841244,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073719,5073837,7973465,7973549,7973574,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,5129718,3118093,1822330,1822333,3118106,5129757,7958409,7941667,7941665,6000359,3752506,3752505,6000355,8584560,11681391,16723034,11924431,7978373,7978374,5164017,5164019,8069741,5164044,3146834,1840798,1050495,1050494,1840794,3146824,254567862,5087831,7965351,5067570,5067571,5067581,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,7937228,5047511,5047509,5052796,7945148,11884228,254824080,39255776,255979960,71659435,257478096,37650852,37650853,47556153,47556155,47556154,256898474,259956189,259266942,258015716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9750569, s2 = 10344098, dlinesl.size( ) = 2 s1 = 9750569, s2 = 10344098, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9750569, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8260608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10188760, s2 = 7973628, int(edited[s2]) = 0 s1 = 10188760, s2 = 7973628, d1 = 20, d2 = 12 Dl.O(d1) = 12496830,268115613,22457513,16289583,11332957,11332956,8465709,5471581,5471580,5468944,3363525,3363524,5468943,8463198,12494812,11494603,11332932,11332933,16289556,11494620,7645196,7645195,11494606,16020422,11494611,7645190,254790777,16497649,12497974,8465896,5471752,5471753,8465900,11126232,16024499,22142196,29479637,30083125,24018026,17669340,17669341,22755151,24019258,24019259,17673332,17673331,268259379,12493301,12493302,12497621,12497622,12497966,8465886,8465885,12497963,12496022,12494901,12494903,12494908,8463272,8463271,12494906,12499433,254603511,3367597,3367598,5472844,8466987,8463312,8463311,8461777,5467459,5467460,8461779,8465166,8464308,8461937,5472769,3367490,3367491,5471646,3366386,3366385,5471325,3366070,3366071,5471329,8465503,8465938 Dl.O(d2) = 255081942,255081944,25302484,25287809,18714853,18714854,25287814,33012820,33010361,33010359,33010332,25285389,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,13319012,13319011,18712347,20984609,20984612,25285233,29653507,31539393,25286213,21155813,16705008,13381184,9146460,9146459,13381181,18787042,25288038,25288039,33010249,25285327,255251309,9099302,9099301,13319078,15012350,10341616,10341617,15012352,18691924,13298777,9080426,254911643,18691926,20946629,18691881,13321827,9101817,9101818,268140925,13381100,9146405,5985438,3742679,3742680,5985440,9146410,13381106,18684734,13291784,13291785,18684735,15048166,15048167,18697465,13304445,9086064,5943278,5943279,5953470,5953469,4292246,2566211,1477640,835391,470836,470837,835395,1477655,2556168,1472336,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464778,5584493,3467026,2055828,2055827,3467024,5588423,8600201,12112979,10290910,6765064,6765065,10290911,13993250,15026512,10354364,10354363,15026511,14032494,14032495,19586274,26311166,256703327,41948389,41948388,33006310,256032368,33006124,25281275,25281274,25281486,18708829,13315728,13315729,18708831,25281492,33006302,33006290,25281482,25281483,30877053,30877054,28043644,28043642,33006268,30916184,30916182,25349007,25263368,25263367,32986657,32986599,32986600,256865179,37184843,40161839,50186124,258060602,25281475,18708823,18708822,25281473,256628835,52289003,60484199,52265487,52265486,49412090,49412089,60812299,73558541,257085812,61988741,61988742,59967846,49443394,41948405,33006273,33006272,41948402,257772667,58683148,57733101,46382988,36523357,28057995,28057993,29464969,38027060,47940738,50234539,50234493,50234494,50234502,50234503,49172461,39247300,39247299,37798413,29235733,29235734,23469476,23469475,30903937,39512040,46383070,36523438,28058048,20888218,14985090,10316879,255001879,20888219,28058049,22129961,22129960,29464723,38026842,256381148,16015778,15549202,10754192,10754191,15549200,21571853,25507312,25507313,22130337,255885636,11120221,11120219,16015918,12046481,8098766,8098764,12046476,15549226,10754208,7104948,4473158,2687403,1556663,884981,884982,1556667,2687411,4473173,7104976,4659697,2807328,2807329,4659699,7375656,11119883,15549109,10754124,10754125,15549111,10956227,10956228,15810502,15810535,10956253,10956252,15810526,21887051,17048747,16022895,16022896,15810493,12494476,12494477,17668989,21571778,21571777,22130148,22130837,22130804,22130805,28843336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10188760, s2 = 7973628, dlinesl.size( ) = 2 s1 = 10188760, s2 = 7973628, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10188760, Dl.E( ) = 22, 1.38e-05 seconds used appending s1 = 7874689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13162253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9789331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14226955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14226955, s2 = 9738100, int(edited[s2]) = 0 s1 = 14226955, s2 = 9738100, d1 = 24, d2 = 10 Dl.O(d1) = 267764367,2659524,4430621,255034461,21410891,28653875,37171382,47063288,58438812,49374529,39446091,39446092,47063285,49374526,256888414,255853766,21410886,255833069,37171371,37734474,37734473,30841702,23411914,17136725,17136723,23411910,30841698,39446081,36416970,27958997,20797354,14904299,14904300,20797356,27959000,21950021,21950022,29273167,27958994,27958995,23411923,268103585,8096307,8096306,12043221,17136727,254738380,21147526,21147525,21950025,15859825,10992576,10992575,10992668,7276924,4589174,2761008,2761007,4589170,7276914,10992657,15859974,21950235,23411871,17136700,17136701,21696505,15656199,15656198,255535833,17136705,12043202,12043201,17136703,12043213,12043212,17136710,23411891,23411886,17136707,12043203,255149291,15887961,21983742,29311552,37880381,30841678,29311547,21983739,21983738,29311545,256915615,30841677,30841676,257031237,60776062,60776064,70731669,60776068,49374502,39446062,255983945,255983947,39446064,49374504,258219673,87143125,260083269,112141969,259272905,58016507,256832771,36757587,46643040,58016511,256832777,28262426,21060416,21060415,15127678,15127677,21060424,28262418,21060408,21060409,271775516,58016518,46643045,46643046,46643047,36757612,36757611,257411985,49132294,49132293,58016514,70731667,70731679,58016525,46643052,46643051,58016523,70731675,60532426,49132285,49132286,60532428,73276847,84283679,258781414,73276852,73276851,86888172,100868346,98179561,84283672,84283673,79282488,79282489,93410260,107833794,122240923,259891841,98179565,98179566,107833798,93410263,79282491,65919315,53852157,43327882,34229599,34229600,43327885,53852163,257629854,43327879,34229598,34229597,43327878,53852151,46447097,43327877,43327876,53852150,65919303,79282474,93410245,107833778,111842260,111842259,259356077,71958785,59220437,47822237,47822238,258074973,47371402,47371400,58757613,71486560,58757597,47371383,256342773,21649778,255850451,256884235,58757598,58757579,268925727,28925751,21649763,21649764,21649769,21649768,28925708,21649724,255046597,254506789,4495372,7139633,255046601,255850447,15616288,10804895,255046603,21649747,21649759,15616292,15616293,21649761,28925717,28925716,37465653,37465661,256058219,18015229,12768069,8678215,8678214,12768066,18015224,256058217,31981419,31981418,40728653,269320752,71486518,58757562,255850440,28925733,28925734,31981423,24427580,24427579,256342771,28925741,37465667,40728662,40728663,49351598,39421933,30816636,23387173,23387172,30816634,39421931,49351596,60754550,53376529,53376528,65380505,73503606,61770963,50291156,40269906,31582870,31582871,257088137,53376564,256686975,256686973,53376562,270035199,92748441,270910477,73598060,65380508,257102536,33864577,26042619,26042618,256686971,37465663,37465662,47371351,50153101,42910169,42910168,40269909,40269908,31582875,24077147,17720285,17720286,23001680,23001679,30406704,23387175,17115482,12027521,8498268,8498269,12536603,17720297,268445769,30815885,24077153,24077152,24131999,24077092,24077093,31582807,40269832,50291074,61770858,259526685,116221797,258862372,74554444,61770855,61770856,74554448,88169477,102160443,116221804,260699168,153845317,156010206,143471400,137262314,137262315,143463455,260699170,116221800,102160438,98182692,84286747,70734853,58020065,58020066,55213504,44362306,44362305,55213502,67557304,256959586,40282848,31598512,24094805,17736683,12549542,12549543,17736668,24094785,256541601,31671718,31598504,24217814,17847389,12638689,12638690,17847391,17794350,12595253,12595254,17794352,24161947,31671720,31724705,31724703,31222928,255556351,12274496,8289303,5347548,5347549,8289305,8533295,12580362,8546408,5544763,5544762,8546407,5546446,5546447,8548056,8530198,5528258,5528257,5567310,4709058,4709057,5483781,254274755,1986184,3374821,5483782,7455417,11234239,16166776,17796777,24164588,31598685,255583271,12549688,8508882,8508881,12549686,267981915,254365491,2943796,4885320,5530062,254609963,4885295,4885294,255117211,8508902,5509418,3397897,2003264,2003266,3034683,5016590,3412449,2029132,2029131,3431469,5545770,254411974,5504509,8504160,8323534,8323535,12322668,8504708,5505205,3438769,3438770,2837087,1645812,935844,935845,746702,746690,424361,424360,746736,254204555,254277601,5519772,5530023,4885324,2943798,1707137,254126409,306074,306075,546512,970383,1707141,2943808,4885357,7718448,8504390,5504820,5504819,7718382,7718383,5541780,3427148,2025415,1159282,1159283,2025417,3427150,5485197,3376015,1987008,1135229,636973,636972,361495,361496,254138237,2020351,3420941,5485208,3376020,1987014,1135233,636974,353782,194002,194003,353784,636977,1135238,1987022,3376026,254604737,8484585,5485215,3376025,3376024,5485213,8484581,12522791,12595957,12522788,12522789,17704368,24059251,31564929,40252407,50273746,50273769,61754010,50273804,50273772,47763428,37840827,29274279,21950829,15860385,10992925,7277098,4589284,2761065,1600579,910025,910021,1600567,2761038,4589231,7277014,8624040,7173348,7173349,10850624,15673785,16810531,12196029,8226256,8226259,6855208,4302217,4302176,4302179,6855147,10399173,15076812,10494203,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476519,21479266,23050154,255957345,39047044,39798111,31117489,23630917,23630916,31117487,29027526,21737228,15687945,10860279,7180071,4523070,4523069,7180069,10860275,15687939,21737220,29027518,29046233,21753072,21753071,16804665,11750814,7845762,4980240,4980242,7845765,11750819,16804671,23050352,21737183,15687910,15687909,17315079,17315076,23631018,24586035,23050146,23050148,23630436,17314643,17314644,23630442,31116874,37579564,29032296,29032299,256352247,256070139,24586067,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,39759116,49777734,49777735,59408435,59408432,63121579,58563272,47174371,37268444,37268446,40951546 Dl.O(d2) = 254236196,7414854,4685368,2822997,2822996,4685362,7414845,11175930,16091194,16091315,11176036,11176035,11175274,7414438,4685129,4685130,7414440,11175277,11175725,16090596,16093225,16090551,16090549,22223489,16090484,16090485,11178400,7416863,4687019,4687018,7416860,11178395,16094022,22224045,16090950,11175746,11175744,16090948,11175792,11175791,16091010,22224125,29570711,22224092,16090990,11175775,7414746,7414744,11175772,16090984,22223848,22223849,255080928,38136254,38136253,48049688,41738941,32818056,255080864,29570326,29570327,33004009,41738898,32818003,32818004,41738899,38136854,38136853,38141666,38137079,38137080,41738970,48050030,48050029,59441811,59441554,48049747,38136321,29570169,22223575,16090563,16090564,22223579,25114365,25114364,32818038,38136684,41738953,32818070,25114405,254236232,38136745,48050122,48050138,38136767,29570594,29570593,22224852,22224851,255080816,32818227,32818228,41738785,52053557,254236286,41880707,48050139,38136765,29570591,29570590,254769452,29571483,38137601,48050869,41738787,32817865,29571411,22224797,22224798,29571428,38137556,255081060,255895355,16091618,11176274,7415105,7415106,11176277,13702778,19186945,25840572,33643823,41738836,48050127,48050128,48050078,38136699,38136700,48050080,59441850,65109661,65109662,63872594,52053697,41739033,32818168,25114490,18564057,255457346,32818166,32817888,32817889,38136324,38137577,29571446,22224810,268401511,22224809,29571444,38137574,257513815,256391640,65109617,65109620,65109616,65109615,255895476,255080898,53123912,59442439,59442438,65109569,76983290,78392421,78392422,78392540,65109672,65109671,78392538,92429255,90861293,76983297,63872508,55717662,55717660,65109533,53123887,53123888,65109540,256933824,58163724,58163725,258123634,106730747,92424843,78387650,78387649,86902913,73292822,73292821,72181834,72181835,81602749,81602750,92429259,78392543,78392542,72180068,59441530,48049721,38136294,38136295,48049726,59441538,59446678,72184767,85776072,85776073,255895674,59443596,48052109,38138872,29572662,29572661,38138867,48052105,59443586,72181825,81602763,95635640,85774548,72180114,72180115,259697337,258747278,72180077,59441581,48049784,38136373,29570233,22223638,22223639,29570236,36702303,46589075,57965449,48049828,38136403,38136404,42665463,257230589,42665477,53117501,59441694,53117503,42665479,256155893,19179979,13696617,13696618,19179981,25832957,33635891,29570258,29570259,38136413,48049842,53117334,42665321,42665320,53117332,48049838,48049837,59441650,65104260,53117545,42665518,42665519,53117548,269808388,65104218,256934010,53117538,53117433,53117432,64049350,64049351,53117580,42665555,42665554,53117578,48049769,38136360,29570220,22223627,16090606,16090607,22223629,29570222,29570247,38136394,256391754,72180148,78387702,92424894,92424810,78387585,65103896,53117181,53117183,65103899,78387588,88187959,99728204,85774566,81018931,81018930,95077877,81019027,257497858,48236984,48236982,59623922,67549271,257729384,44354871,50538355,50538354,59441597,59441598,59441621,48049813,268223132,29570248,38136396,48049810,59441618,72180153,85774576,81019002,81019003,74572436,72180138,72180139,85774565,78387701,67549322,55205502,55205464,44354885,34977241,34977240,44354884,52093987,52093988,55205371,44354812,44354811,55205374,44354926,44354864,34977227,26897952,20016066,20016065,26897949,26897994,20016088,14335495,9847958,6468053,6468052,254968867,20016080,26897979,34977257,34977256,44354905,39447779,30843456,30843457,39447782,48236965,38327164,29757565,22396787,22396786,29757561,38223045,29657098,29657099,38223161,48133170,52210732,52210731,64049410,59441409,48049574,38136073,29757553,22396783,21829959,15761788,10915899,10915896,15761781,21829946,29137308,29657038,29657037,38223063,48133061,59520293,59520277,48133048,48133047,59520275,63322500,256053702,268694098,29137298,37698044,37698072,37698071,47621305,59024713,59520359,48133160,38223149,38223148,48133157,48133163,38223151,29657095,29657096,38223153,48133165,59520295,52701570,52701569,64602321,77785470,72254262,72182074,72182073,72182041,72182040,73038939,72182061,59443879,59443878,60836168,255634884,48052395,38139097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14226955, s2 = 9738100, dlinesl.size( ) = 2 s1 = 14226955, s2 = 9738100, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14226955, Dl.E( ) = 26, 2.88e-05 seconds used appending s1 = 97389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 508331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 508331, s2 = 13999438, int(edited[s2]) = 0 s1 = 508331, s2 = 13999438, d1 = 45, d2 = 56 Dl.O(d1) = 12935069,12935070,10009009,6578041,4121128,2465263,1425100,877375,865849,491041,275767,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354 Dl.O(d2) = 16323151,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091439,15977392,22083256,29353883,22022735,15921635,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922832,17290648,22025516,23585978,23585979,22516952,22516951,29874464,29044019,21751109,15697908,15697907,21294798,21294797,22489374,22024386,22024388,29355197,37922053,30166099,29347776,29342343,22010444,17236106,12118113,12118112,17236099,23544193,23605866,28519128,28519127,22478111,22478112,29844589,36811480,28315165,22516787,16343340,11371695,7554727,7554726,11371690,16343327,22516776,17274626,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183137,12152830,15329182,15329181,11371017,11371016,11468375,11468374,16312639,11349519,7541398,7541397,7552274,7552275,11367707,16338212,22512089,29871228,254273474,39035475,39337676,39337677,48337458,39801763,31121426,30048100,29838819,22471121,16301959,11342919,11342917,12192734,8223045,8223043,12192728,11371133,11371135,12231241,8258960,8258957,12231230,17360847,17361011,12231324,8259006,5328380,3275233,3275231,5328375,8258995,12231300,17360967,16308261,16308264,22479121,29845369,22692630,22692631,23007681,30412747,28286925,21080860,15143014,15143011,21081701,28287774,36784162,31054424,31054423,39732421,37015566,255546718,48329922,39761183,31083228,31083227,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983887,10586780,15327995,21294545,17273757,17273758,17271616,12150589,12150591,17271625,21081082,15142585,10443698,6884829,6884828,4321911,4321909,4321923,4321922,6884876,10443788,15142748,15917111,11039076,7313500,7313501,11039027,11039025,11046113,10423841,10423842,11046107,11046072,7320733,4622159,4622160,7320736,10423847,15112319,21039763,28238191,29353969,29350204,22018487,15917070,11039055,7313490,7313489,11039052,15917066,11045898,11045895,15922842,18595306,18595305,25152278,30408254,30408253,38432150,29871361,22512291,16338434,16338433,22512289,23886298,17539802,12371329,12153032,8183250,5252899,3209837,1879973,1879974,3209844,5252919,8183294,12153097,15914218,11035637,11035633,11035816,11035815,12165860,254104492,7563120,4782273,4782272,7563118,11103827,11103828,254086054,3197501,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304182,267841640,5257825,3213737,3213736,3311681,5385521,8343916,254079946,8199870,5270375,5270376,8171098,5240189,5240188,8171091,11381655,7561764,7561767,4781507,3200189,3200185,5241308,8172180,11405334,11405333,16387328,12081302,8173714,8173712,12144044,12165685,12165686,17286662,22496838,22496837,25300301,25300300,22031299,15929806,11052888,7328491,4629372,2788779,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,15818470,11366080,11366077,16335965,22509592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 508331, s2 = 13999438, dlinesl.size( ) = 2 s1 = 508331, s2 = 13999438, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 508331, Dl.E( ) = 60, 2.29e-05 seconds used appending s1 = 9101407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9360304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13439457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9817655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9817655, s2 = 9835374, int(edited[s2]) = 0 s1 = 9817655, s2 = 9835374, d1 = 38, d2 = 27 Dl.O(d1) = 46845108,36966263,28467483,21245932,21245931,17155238,12058694,8107795,8107796,12058695,268246227,21271673,21245784,15279306,10545396,6954681,4369750,4369749,6954679,10532736,10532737,9676914,6364336,6061569,4370278,2618252,1511656,1511657,2618259,4370296,6936057,4369885,4369881,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794890,5412220,8387172,9256185,9256188,11936004,16896825,23158171,23906839,20969031,15059160,10384662,10384663,6843910,4294389,2567476,2567477,4294395,6843918,10384705,6844409,4294665,2567604,2567603,1478366,835722,470982,470984,254156115,2567644,4294744,6844552,255009615,20970739,28148983,36622784,46489318,57845387,70547344,269337964,38327907,29758135,22397203,16236755,11288292,7494800,4737763,2855440,1657201,942954,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044 Dl.O(d2) = 4316563,4316574,4316596,6876396,10430166,15121896,13902435,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608720,19062726,20805986,14911241,10253034,6737088,6737089,4317380,4317376,6877819,10432556,10253549,6737417,6737416,10253546,14912058,16028478,21048358,25686575,21052856,21052854,28253366,28250547,28250546,28993880,36746607,28256655,21055771,15124321,15124317,21048724,21052201,15121623,10429984,10429985,10429348,10429349,15120556,21050727,15122236,15122238,21052963,28253466,255805552,18083978,18080958,18080959,24510126,268704199,40858418,33458286,268301809,13608590,13608591,19062551,25686304,32088122,32087656,24514168,18084254,12820895,8716845,5674094,5674095,8716851,12820903,18083931,12820680,12820681,18083934,24513832,256574057,24509763,18080634,12818550,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080876,15120889,10429558,6876065,6876064,10429553,15120876,21051174,15125244,15125245,21056995,28257987,33477948,32086091,24512354,256064497,14414275,14414276,20103885,21057423,21057422,20103762,14414205,9913421,9913424,14414220,15039970,14414245,14414244,20103823,16928721,16928718,23197009,18080038,12818162,8715325,8715326,8715302,8715303,12818128,18079963,24508874,32082901,40017991,31338916,23846380,18084487,18084486,18082118,12819454,8716024,8716022,12819450,13620415,19078113,25704681,29586185,32082380,32082382,32111795,28251965,21051429,21051427,23553208,17244622,17244620,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103847,20103846,26994546,35079241,43918430,42464026,42464027,42471547,33477964,33462512,32083526,32083527,32085840,32085839,24512987,18084961,12821353,12821354,18084966,24515058,32088457,40859135,50993019,256388050,35079269,27028487,20135803,20103873,14414269,9913449,9913451,14414274,20103881,26994585,35079281,31034804,25575126,25575125,33334835,38718615,48636530,59624929,72359716,85955157,99913175,113936566,127817134,141179890,153855670,272576696,185753584,193991497,201050098,207000994,211916036,215932343,219256028,219256031,215932345,211916038,207000995,207000994,211916037,213799198,217484961,219256032,219256026,215932342,215932343,219256028,219256031,215932345,211916038,264247122,215932347,215932346,219256033,222062601,224473155,225433511,223173869,220559279,217484959,213799197,209307195,203830746,197270960,189581679,180683838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9817655, s2 = 9835374, dlinesl.size( ) = 2 s1 = 9817655, s2 = 9835374, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9817655, Dl.E( ) = 42, 3.1e-05 seconds used appending s1 = 7883504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7883504, s2 = 14076332, int(edited[s2]) = 0 s1 = 7883504, s2 = 14076332, d1 = 6, d2 = 5 Dl.O(d1) = 48703442,60099215,72835742,86430198,86430197,100385673,94397436,85208341,85208340,91505129,86432208,255496738,256439090,64406251,64406250,54660365,43918048,43918047,42175483,33216768,25470022,25470021,33216767,42175482,52533106,53531988,43052002,43052003,37499122,33301979,33301978,42283013,52669833,46900020,46900021,54625446,47620201,47620200,48185441,48185440,268757526,31471603,31471604,40155666,47331414,47331413,37499128,28956324,28956327,28956391,28956389,28910094,28910095,37449696,36779732,28283576,21078223,21078219,28283565,31758463,31758462,26622986,26622987,31049564,268150472,24133370,24133369,25915647,33554116,42282916,36824443,36824442,46706717,47812109,255918694,29481753,22143908,22143909,29481755,30502783,39098640,43057547,33998568,33998567,30046853,22671507,16475527,16475528,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29317300,21988874,15892261,11017240,11017243,9353300,9353301,11017085,15892006,21988510,26157310,26163345,26163344,34005097,33559142,28329105,21118588,15171657,15171659,21118581,21118335,15171521,15171520,21118331,21989081,16475567,11479302,7634954,7634953,11479297,16475557,22671543,17107317,17107318,23377084,30805189,39410205,49339723,50232598,40211922,31526079,31526080,40211924,39462114,254863088,23425833,30857256,30805214,23377104,23377102,30805211,39410220,40204613,47910875,37994834,29432426,22100404,22100403,29432422,37994828,254408500,50231748,40210766,31524757,31524758,37990953,37990954,47907104,52478795,59305314,47910924,37999186,37999187,31526088,24024141,17674131,12498402,12498401,17674128,24015876,31517253,40203944,39906330,31229638,23745910,17420627,12278400,12278401,17420629,23745912,31229641,39906333,49925801,59309596,47915249,37999234,37999235,47910818,47915250,37999236,31525196,31525195,37993258,29431066,29431067,37993260,37884750,37884749,39203423,254362006,22649206,16457979,11467242,11467241,16457976,22649203,30022102,27222919,20294528,20294527,27222917,23802336,17469351,12316198,12316196,17469348,23802331,255277275,9330511,6111803,3824127,3824128,6111808,9330516,13622785,18986366,25451228,20884492,255296714,13432375,9183765,254387020,2731889,2731888,4544501,6010990,6106973,6106975,9322961,6129016,3834653,2297375,1333015,761272,433053,433051,761263,1332994,2297344,3834597,6128921,6128981,3836738,2298559,2298560,3836742,6079739,3804224,3804227,3810461,6090134,9296925,6132721,3836798,2298590,2298589,2298615,1333717,761675,433310,433311,761679,1333726,2298633,3836878,6132753,9362686,13672088,19147489,25792386,25640534,25301297,18726683,13331236,13331234,13615356,13615355,19071573,13672290,9362811,9362810,13663195,13663196,19086964,13668445,13668447,9362867,9362868,13663202,13672228,13672226,9365740,9365738,13676329,13556856,13556857,14328705,9843087,9843086,13671999,9362610,6132709,3836791,3835655,3835656,3836773,6132677,3836776,3836777,6132686,9362568,13671949,13672020,13672019,19147397,13672111,9362702,9362701,13663089,13663446,9356848,9356849,13663449,19135288,13668802,13668801,19143344,19147736,19147735,21858419,21858420,29167610,25787854,19143057,19143056,13672214,13672213,19147643,21414989,25798645,25798644,33594994,42612199,42612201,42612087,33588098,255686775,13671931,13671930,19147285,25775437,19135006,19135005,25775435,25792544,33588225,25792687,25792686,33588385,42612349,33588463,33588462,42612434,38037277,256381456,22137846,29474435,25792558,19147405,19147406,19147414,13672034,9362649,9362650,13671992,19147374,25792437,19147309,19147308,25792436,25792562,33588095,29000679,29000680,33565281,25775756,19135275,19135276,19147301,25792431,256669941,38037586,29474818,29474819,29474571,29474572,25798641,25798640,33594987,42612347,34675780,34675781,38037634,33428543,33428544,42419382,38037264,29474418,29474417,22137851,16021129,11123811,11123810,16021124,22137844,29474446,33588091,34675790,268398258,42612566,33588592,33588593,42612098,256152865,25639810,25639809,22137828,16021116,16021115,22137825,19135272,19135273,25775752,33565278,29474379,22137782,22137783,16021336,16021335,22137951,22137952,29474576,33428243,25792764,25792765,33588468,29474885,22138238,22138239,22138234,22138236,29474860,22138196,16021409,16021410,22137819,22101140,22101141,29433381,29474420,25792902,19147714,19147713,22138264,29474943,38037704,39814245,31132081,23644645,17328007,17328008,23644648,25737987,19104934,268029489,6118363,3828090,2293457,2293458,3828093,6118367,9340776,11123932,7378279,7378278,11123927,16021333,16021061,16021060,22137748,22138226,22138225,16021396,11123972,7378308,4661280,4661279,4661284,7378315,11123981,16021346,22138181,22138189,22138190,29474857,29474920,29474921,38037687,39814242,49837478,52928053,42517495,42517478,38037261,38037260,38037244,29474394,29474395,29474342,255885886 Dl.O(d2) = 29474255,22137658,22137659,22138143,16021314,11123917,7378270,4661260,4661258,7378267,11123912,255450961,29474806,29474224,22137624,16020977,255450935,16020973,22137617,16021010,16021009,22137647,22137646,29474241,22137753,22137755,22137691,16021022,11123742,7378160,4661194,2808174,2808172,4661192,4661211,7378186,11123787,16021081,22137775,268753982,33568778,257226199,38037142,33357132,33357133,256923462,22138120,16021292,11123901,11123900,16021290,22138115,29474465,22137859,22137860,29474468,38037286,46813643,36935357,29474498,256381452,16020997,11123724,7378148,7378143,7378144,11123719,16020988,11123761,7378169,7378168,11123757,16021037,22137715,22137761,22137760,22137764,22137878,29474487,33568786,25778809,19137709,19137708,25778807,33568782,42585631,38037220,29474369,25778218,25778217,28436383,21211703,15244613,15244614,21211707,255817109,25778814,25778813,33568793,42585636,47393561,47393566,47393565,38037565,38037563,33566632,33566633,42583866,47950682,38037197,29474328,22137718,22137719,29474330,38037203,42585633,33568789,25778811,19137710,256152127,22137768,256383627,47950649,38037112,38037113,42585303,47950679,42338350,33357135,33357136,42338353,38037559,29474784,29474783,38037557,46813659,58180720,47393568,37485864,28943813,21664955,21664954,28436373,28436374,36935350,46813632,36935395,36935394,42583860,33566637,25776876,19136241,13664244,13664245,19136246,25776885,24092028,24092027,19137717,13665335,13665334,19137713,25778818,28436398,28436399,36935379,36474390,29474215,22137613,22137612,25778791,25778793,33568765,29474326,29474325,29474814,38037581,47950914,42583869,36935418,28436434,28436433,28436378,21664957,15629171,10815341,10815342,15629174,21664960,21211698,255022141,10516834,15244612,21211701,268608919,46813647,53022821,42582443,42582441,53022818,42584849,33567726,33567727,268440678,46813656,36935375,36935374,257424215,53023381,42583167,42583166,53023376,42585173,42585172,42585578,42585579,53025312,54665939,54665938,64625165,52725026,42337963,42337964,42583847,42583846,42583851,53024141,58180710,46813638,46813639,58180713,64999546,64999672,53025006,42585183,33568227,25778234,25778235,33568230,42585186,53025009,53024829,52725034,42337967,42337966,42584847,42584846,53023375,42584842,33567717,33567716,33567677,33567678,42584820,42585050,42583169,33566063,25776461,25776459,33566059,25778207,25778206,25778733,19844695,19844694,26658804,33565960,25776371,25776370,23252854,23252855,25776867,33566627,42583855,53024145,42585843,33568946,25778923,25778922,33568944,42585188,33568234,25778239,19137219,19137220,25778242,33568238,42461672,256152137,25596223,25596222,33356805,33356808,42337972,33567719,25777707,25777706,25777667,19137039,19137041,25778030,26658831,25776466,19135950,18986296,18986294,19135815,19135816,19135858,19135859,19844691,19137224,19137223,19135874,13663992,13663993,11904375,7962026,7962025,11904370,16989793,23252847,19136731,13664522,9357578,9357577,13664516,19136722,25777622,30823168,30823169,33568561,33568560,33568555,33356847,25596256,18986299,13664526,13664525,19136738,25777645,19136781,13664551,9357595,6129460,6129461,9357599,13664557,9774120,6426603,6426602,9774115,14217269,19844726,19137161,13664856,9357780,9357779,13664852,13664908,13664907,9358077,9358078,13665208,13665233,19137074,19137072,13664962,9357861,6129640,6129639,9357860,13664781,13664780,14217284,9774127,6426606,6426607,9774130,9357986,9357987,9358195,9358196,13665319,19137686,25778250,26658929,19844795,14217332,9774175,9774176,9774165,9774166,14217329,13664814,9357756,9357757,13664818,13665218,13664848,13664850,13665163,9358039,9358037,13665160,13665168,9774090,6426587,267944219,14217237,13664903,9357822,6129620,6129618,3834991,3834992,6129648,9357869,9358134,9358135,6426612,4031974,4031975,6129779,9358118,6129825,3835102,3835103,6129828,9357830,13664914,19137230,19137622,14217339,9774182,6426649,4031996,4031995,6426643,9358177,9358176,13663797,19135656,19137818,13665403,13664941,9357849,9357848,13664935,19137268,13665274,9358147,9358149,13665279,17067690,11978090,11978089,17067685,13664973,9357871,6129650,3834995,2297569,2297571,3834997,6129652,255280425,25778334,256669111,53025036,258435035,259691863,120846788,134644837,129701442,115802162,101755486,87781978,74177343,61397023,61397024,71412446,84986445,258954512,126752919,140102254,271802683,99797958,85845231,72253729,257520379,38222382,29656432,22304709,16922096,11842901,7914631,5031315,3045667,3045668,5031319,7914638,11842914,16922114,23188705,30607898,39203783,49130588,46605166,256291289,21028272,15103756,10417402,255012995,21028270,28223947,36717052,46605153,57982101,70699807,84251526,98145123,112103843,113085653,113085654,100553194,100553193,259489992,86591376,86591375,72993563,60257742,48864687,38944924,30358720,22957065,16720854,11679181,7787659,7787660,11679182,16720857,22957070,30358729,30358733,38944941,48864703,38944957,38944956,38944945,30358735,30358731,30358730,38944937,48864699,60257760,60257764,60257761,60257762,60257770,60257769,72993595,60257774,60257775,72993585,72993576,72993577,86591391,100553197,114585377,121180583,106913826,92595271,78547814,65257614,65257615,78547817,92595277,90022938,90022939,104147672,118300901,132113965,132113942,132113943,132113978,118300911,118300910,132113950,118300891,118300892,132113952,132113970,118300905,104147673,90022941,90022940,90022943,76218733,63207727,63207726,76218728,90022935,90022944,76218734,76218735,76218749,63207744,63207740,63207739,63207738,76218720,76218719,76218748,63207742,63207743,76218721,90022929,90022966,76218765,76218717,76218716,90022927,104147660,104147684,104147683,118300886,118300884,132113945,260993544,169184481,169184483,157748137,157748136,145343605,132113990,132113989,145343600,145343599,145343606,157748151,169184489,175801653,175801658,260401902,157748161,145343622,132114005,132114004,134783212,147901676,160150700,165020392,165020390,269193078,127171461,268338566,99308109,113311634,127171458,140518173,134783221,134783220,147901682,134783215,120986698,120986699,106734007,106734006,120986709,259161616,120986693,258532548,78391413,78391412,92428208,92428232,92428233,106734009,92428245,92428241,92428240,106734016,106733990,106733991,106733987,106733988,92428223,92428222,92428218,269802252,53122801,42671930,33642720,33642719,42671927,53122799,65108542,78391421,65108557,65108558,78391408,78391409,65108544,65108543,78391404,65108532,53122791,53122792,42671938,42671937,53122819,65108578,78391411,78391417,65108539,65108540,78391418,92428214,92428198,78391395,65108526,53122787,53122788,65108528,78391399,92428202,87918470,74315035,74315036,87918471,92428199,101892602,87918464,87918463,87918431,74315011,61538414,61538415,74315014,87918437,101892574,101892568,101892569,115938848,101892572,101892573,96961320,96961319,109327944,123519298,123519299,116128737,116128738,109327946,95073265,81014342,81014340,67544695,55200986,44350537,34973246,34973247,44350538,44350490,44350491,50205526,61688331,55200931,55200932,55200939,44350488,44350489,55200923,55200922,44350484,34973214,26894203,26894202,26894204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7883504, s2 = 14076332, dlinesl.size( ) = 2 s1 = 7883504, s2 = 14076332, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7883504, Dl.E( ) = 8, 1.19e-05 seconds used appending s1 = 10144396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1341314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7822888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7822888, s2 = 6533433, int(edited[s2]) = 0 s1 = 7822888, s2 = 6533433, d1 = 72, d2 = 75 Dl.O(d1) = 5749927,3580262,3580264,2261908,1569524,1312976,749500,749502,1313022 Dl.O(d2) = 18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324922,24814631,32450116,30494278,30494279,30031462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7822888, s2 = 6533433, dlinesl.size( ) = 30 s1 = 244779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13510755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9145125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7920508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7824620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14897135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9744561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8434092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6987885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7823616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10985780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14602517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14602517, s2 = 9393313, int(edited[s2]) = 0 s1 = 14602517, s2 = 9393313, d1 = 86, d2 = 88 Dl.O(d1) = 269375172,268428484,23600901,22832241,22832240,30224244,38807297,34999421,34999422,269190177,55228580,46905638,37028469,28530442,28530443,37028471,29562604,29562602,37771994,29210141,29210140,26917978,26917977,34999440,31241528,23757461,23757463,31241531,29013676,21726162,15680243,10855434,7176886,4520965,4520967,7176897,10855449,15680272,21726189,21726190,28530424,21307916,15337997,15337994,11283005,11283006,16230390,22389349,255366903,10343718,11585851,16611112,22832246,30224255,38807304,30770358,254346066,17080286,12293782,12293778,17440334,23347602,23347600,23347961,26415921,19679708,14108297,9704690,9704689,11094508,13683364,9370699,9370696,13683357,19162140,25810143,27134373,23164394,23164393,23164389,23164386,23347530,17080465,17080466,23347538,29749030,22389196,22389194,23451450,17174728,15631105,10816964,10816965,15631109,21667119,28946433,30776179,23352387,23352388,23451306,17174625,12075788,12075789,11717012,11717011,16764519,23004150,30409021,26416051,19679793,19679794,26416052,30582132,26415894,19679694,19679695,26415896,34291998,40010540,44579189,39179301,39179302,49108914,48015784,38105550,38105551,255892584,16901542,11827902,11827901,16901540,255965681,29101375,24641061,24641062,32239051,41031639 Dl.O(d2) = 36766942,255028858,21069156,28272026,22636879,22636880,30007027,38577929,256001136,257052620,269867770,114215020,128103266,141468712,154138219,141568141,128212111,114329485,100299697,86338445,72742000,60006389,48615841,38700440,33333687,25574167,18965463,18965462,21264745,28482233,28452773,21225878,15255719,15255718,21225873,15302716,15302715,17559484,17559483,15460483,15460484,21264463,15302014,254735718,13642936,13642935,13536884,9266448,6069474,3797512,2274593,2274592,3797510,6063903,5196332,3170447,1856112,1059364,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374326,5404565,5404568,8374338,12392041,13513898,13513899,18950552,17471184,12317496,12317498,17151089,17160943,15294148,10558696,10558697,15294153,21232933,17152849,12056314,12056315,11914679,7970027,7970026,11914677,17001272,23265000,22740744,254229966,7665121,4849824,4849825,7665122,11522791,16533083,21568767,254758600,11804322,11804323,11377090,7558511,7558512,11377092,254116118,6393173,4012060,2404503,2404505,4012102,6393254,9718333,14125913,11739193,11739194,16789042,267773428,25131051,18578129,18578130,17772464,12577383,12577382,13202572,17796891,17796892,21559248,15538393,10746377,10746375,15538388,17811292,24179645,31688306,32836222,32836223,40275684,31590697,24187059,17818502,17818501,12615900,8563621,8563620,8503018,8503019,254612374,24086891,22316654,16171522,16171524,17490513,16163122,11230099,7451736,4708204,254529109,11230102,14129786,14129785,19706303,20216869,27120170,21589280,21589281,21589282,28863560,37404865,42125321,33168977,33168976,38003874,29440933,22107549,22107548,29440931,28267943,255165190,10436176,10436175,15131190,21065230,28267938,25560869,25560868,33322802,37643264,38233033,29666793,22315007,22315009,17462535,17462536,15739798,15739799,16171819,11239291,11239290,7459762,4713745,2839675,1647238,1647241,2839689,4713768,7459812,11239470,12781303,18031565,21794255,21608959,15580235,15580233,21065830,23363878,22902711,22902710,29082925,21797034,15737637,15737638,21797038,15738117,10899789,10899788,15738116,21797638,21797118,15737688,10899497,7208629,7208628,255055339,11353033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14602517, s2 = 9393313, dlinesl.size( ) = 8 s1 = 6548481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9805567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7825308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7825308, s2 = 6745753, int(edited[s2]) = 0 s1 = 7825308, s2 = 6745753, d1 = 28, d2 = 31 Dl.O(d1) = 259980806,38951074,30364760,22962906,16726490,15173258,10464559,6897841,4329944,2590406,2590407,4329948,6897847,254717664,21120859,28332319,36828284,30874687,23444997,23444998,30874688,254327410,21035062,21035063,255012882,15147140,21087287,28294344,28242903,21043892,15115655,15115656,21035637,20311460,14576498,14576500,10593820,6988618,6988619,10593825,10591223,6986718,6986719,10591228,15334859,20311337,20311336,15176346,15176345,10592065,6987367,6987365,10592060,15335892,21036079,15109712,10421997,6871039,4312936,2579209,2579207,4312928,2586195,2586192,4323191,6886710,10446630,15147113,15109189,15078149,15078148,15108521,15108520,10469358,6901860,6901861,10469360,10030309,10030308,14576580,20311554,15338278,10593833,6988622,6988623,10593836,10483919,10483920,14576322,10030140,10030141,14576326,20311269,21308172,15338359,15338360,21124833,15178766,10469056,10469057,15178769,10470032,10470033,15176280,10466756,10466757,15176285,15147126,10446642,6886720,6886721,10446646,15147129,15147102,15147101,11257009,11257010,15179099,15179056,10469374,6901870,6901872,4391779,2631446,2631447,4391781,6903562,6902018,4333859,4333741,4333742,4319308,4319307,6881135,10438194,6904688,254097238,1497655,848637,848640,1497662,2596239,2596355,2595303,1497045,848296,479009,479010,848302,1497055,2592508,2592509,2593121,1495639,1495638,2586513,2594911,2594912,2594577,2594576,4332345,2592649,1495332,847321,478527,269337,269339,478539,847343,1495306,2592602,2594059,4332313,2593684,2593685,2631181,2594675,1496631,848056,478883,269509,149389,149386,269496,478859,848009,1496539,1495613,1495612,1497543,2590506,2592500,2598974,2598971,4334814,2594595,1499576,1497553,1496746,1495666,847505,847504,848171,478944,269545,149409,149408,269541,478691,269416,149342,82119,44930,44931,82123,149347,269431,478722,847743,1495831,847696,478702,478703,847374,1495402,847852,847853,1496262,1496437,847956,847955,1496432,2592470,2594346,2594345,2630325,2630327,4334691,4334692,6902661,4335535,4335536,4332949,2596031,1497511,1497512,1495251,1495253,1495652,1495651,2593138,2594939,1496805,1496803,1497597,848612,479147,269641,149459,149424,82160,44950,44949,82157,149419,269562,478982,848237,1496949,2589753,2589752,1492955,254096994,2594354,1496405,267763320,6902387,4334199,4334200,6902388,6904518,6904517,254220754,254489120,6887337,5601391,4336441,4335953,2595552,1497180,848367,848369,1497188,1730342,1730341,2980775,4335811,2595469,2595470,2630433,1518859,1518860,2630440,2630341,1518793,1518795,2630347,2595457,1497134,848343,479028,269585,269586,479034,848359,1497161,2595505,1730425,983741,553816,553817,983744,1730432,2980931,4939934,7791227,11683917,15173258,255381117,28332302,36828469,46710908,269772813,258017886 Dl.O(d2) = 38951077,258026431,84357816,272169461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7825308, s2 = 6745753, dlinesl.size( ) = 32 s1 = 14023532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11003952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003952, s2 = 1727972, int(edited[s2]) = 0 s1 = 11003952, s2 = 1727972, d1 = 41, d2 = 2 Dl.O(d1) = 4425610,2655722,2655723,4425614,7034377,10653089,10603379,6996032,4396655,2634639,1521427,1521425,2444249,1413277,1413276,2444244,3530392,3530391,5676260,4084854,4084856,6519443,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883375,4592178,4592177,7281737,9122933,5969618,5969620,5969733,9123076,9124949,5971041,5971040,4395811,4395812,5971053,5971054,3734084,3734083,5971057,8720519,12826154,10601583,9995992,6993642,6166777,6166775,9412353,9413158,6167384,3859010,3859012,6167388,9413168,8719993,8719994,8685739,5652283,3514320,3514319,5652277,8685726,6569078,6569079,6518805 Dl.O(d2) = 44494111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003952, s2 = 1727972, dlinesl.size( ) = 18 s1 = 14061273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 76842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 827263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9385779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11108518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7878769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7847527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14026932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14067156, s2 = 14065656, int(edited[s2]) = 0 s1 = 14067156, s2 = 14065656, d1 = 32, d2 = 6 Dl.O(d1) = 258019109,84249778,98143375,111644549,97723750,83864946,70339660,257995438,36451455,256269566,14930124,14930125,18858754,13436588,13436587,17304642,268435305,39782247,49801304,61279535,64398028,64398029,77566327,84249714,70697928,57980044,57980043,258016720,46527318,36659845,36659844,36659852,36659853,46527327,57883254,70584592,84121418,74227673,74227674,87832624,101806611,101806604,101806605,115852968,111936816,111936817,260067342,115852977,258826612,102238958,257089940,61817563,50334024,40308004,40308003,50334021,61817559,74609699,88240322,102238949,88240346,88240347,102238972,116334379,129752349,125935414,112102249,98143340,97996901,258282020,75597490,75597489,89358622,103453785,117584084,131384509,139097321,261241678,261854332,144607558,144607559,144607551,131384472,131384471,271416230,89358585,89358584,268687402,50334026,50334027,61817572,257089942,74609718,61817574,61817575,74609720,257672988,116334374,117584065,117584066,131384480,131039108,258323954,103124580,103453805,89358644,89358645,103453808,260741060,89358647,89358648,103453767,117584072,131384474,117584060,103453754,89358587,75597451,62655301,62655299,75597449,89358582,75597467,257701578,40891744,32117844,32117843,40891741,51029274,62655304,75597457,89358590,258531004,117584105,103453813,97754042,89358631,75597496,62655338,62655337,75597493,89358629,103453746,89358578,75597445,62655294,62655293,75597442,75597509,75597511,89358643,100236010,89358640,83897102,70372512,70372511,83897100,270854591,72670716,257551249,38622921,30049110,22673603,22673602,30049107,38622914,257551247,72670695,72670711,59930910,48537787,38622918,38622919,48537789,59930913,258784091,79319674,79319675,93451000,259426176,136273151,261219072,149538523,136273144,136273145,149538522,136273161,122296450,107880263,107880264,258802084,65955780,53888997,255945564,26388184,19653815,14087458,9689748,6373598,3999338,3999337,6373594,9689740,14087452,19653810,26388173,27277182,27277183,28086380,255358624,37439155,28898752,21623536,21623537,22800802,20880158,14978093,10689508,7061767,4446021,2670869,2670870,4446024,7061773,10689518,15459883,21459757,28715522,268063596,36883853,28387386,21169004,15211148,15211146,21169000,28387378,36883846,46762288,255790564,98312236,258629108,163364146,151480089,259255578,151480093,151480092,163364147,174217461,183887899,192363148,199660294,273839033,260482784,151480095,151480096,260482786,261614470,199660297,192363153,183887905,174217466,174217463,183887901,178758414,262621984,261885118,117584037,103453721,89358552,89358553,103453724,117584039,131384455,272320776,140247679,152936935,164766063,272941138,144607529,131384443,261358673,157005674,157005686,144607546,131384461,271919466,89358561,75597432,62655286,269921989,89358564,103453734,117584048,128152769,128152770,141511823,259950362,258705670,85141961,99066750,99066751,86270807,72670744,72670743,86270806,100236028,113054736,99066749,85141960,85141958,86146937,86146936,72670741,72670742,86270799,86270800,100236022,114268092,261203867,260550520,128035547,260550518,114251730,100217894,100217895,269811710,71846524,59107893,47709824,47709823,256403974,48200956,50040307,40020657,31341239,31341237,37788815,268225674 Dl.O(d2) = 6918216,4346144,2602825,1501941,851340,851341,1501945,2602838,4346167,6918236,10491466,15209245,15796143,15796144,10944549,7242313,4565959,2746042,1591522,904816,510321,286081,286083,510332,904840,904790,510309,510308,904783,1591464,1591281,904684,510253,286053,286057,510247,904674,510366,510364,254231113,4566371,2746501,1591777,904956,904957,1591783,2745595,4565207,7241152,7242561,10939726,7238699,4563488,4563489,7238707,10939730,10944423,7242220,7242219,10944419,7907246,7907237,5026265,3042339,3042340,5026266,7907239,6497083,6497082,4681605,2820746,2820744,4681623,7409161,255079915,267968813,4546918,4053183,4053182,6468644,9848756,10891000,10504135,10504134,9877620,9877621,9848649,9848651,11590977,7715746,7715744,11590973,14370312,9876227,9876228,14370314,14390479,14390478,20073288,16164707,11231890,7453270,4709144,2836824,2836823,4709142,7453269,11231889,11229955,11229956,12274785,12274784,12273353,8288147,8288149,12273356,11239899,7460074,4713934,2839776,1647293,1647295,2838775,1646773,936367,936365,1646759,2838744,4712192,7457453,6605127,6605125,10051890,9908588,6512391,6512393,7454820,4710254,2837563,1646091,936029,936030,1646094,2837570,4710293,7452955,7452957,7452450,7452452,11230991,11231452,15553867,10757870,7107582,5505342,3394186,3394187,3394176,3394177,5505325,8504836,8488557,5489539,3380203,3380200,5489530,8488538,12526894,8527356,5525932,3412366,2013922,2008167,1155417,648245,359643,254138171,2019434,3419736,3416746,2017059,2017058,3416748,5531222,8533294,12580360,268261779,12583752,8536303,8536305,12583758,12597140,8548034,8548035,5558127,5558128,6014961,3762313,3762314,6014963,9189246,12680327,8612166,8612167,12680329,17797984,12598524,8549574,8549573,8556205,5553118,3472624,3472623,5595800,8518996,5517252,5517253,8518999,12545928,9188673,6014291,6014293,9188676,8609004,8519837,5572337,3456497,3456499,4029964,3474069,3474070,5507260,5507263,5727436,5727435,5524483,3410970,3410969,5524481,5557742,5556973,5544392,5544393,5489462,3380157,3380156,3415997,3415996,254609969,5546256,3448708,2042460,1170706,657073,364267,364268,657074,1170708,1173469,1173471,254282139,5569591,8523932,5522561,5520740,3407576,2010250,2010254,2010272,1149550,1149549,2010301,3407641,2021809,2021808,3422728,254610833,7163845,4511945,4511944,2711203,2711202,4511943,254744187,11171883,7412003,7412004,255080333,12210332,8241232,5312986,5312987,254838745,17317675,15728781,10893312,7532631,7532632,10881171,7194158,4532229,267885999,10881172,9866351,6481216,4061359,4061360,4531956,2724195,1578601,1578600,2724192,4531954,7193737,10880686,15717593,14388259,9894020,6501811,6501812,9894023,7197129,7197130,9869376,9869260,6483170,4062529,2431321,2431320,4062544,6483196,4873927,4873924,7201714,7204725,7204724,10811994,10811995,15625756,10812011,9887785,9887786,9896572,254526519,2821984,2821983,4683746,7164728,254526467,2821746,1637075,1637074,2821845,4683500,7412034,10836251,7390247,4668728,2812578,2812577,4668723,7390229,7412295,7412293,255080365,15656360,21696634,22217208,22217209,21696949,15656806,15656805,11170623,7410870,7410868,7510072,7510071,11311398,10836659,8197416,8197415,12166098,10836710,7163411,4511678,4511676,7163402,5861779,3659555,3659554,5861777,8429211,5441352,3345031,1966908,1123336,1123335,1966906,3345024,5441344,8412045,5445887,254598605,3337118,3337119,5428538,8412014,8421708,8409600,5426888,3336093,1961985,1120752,628841,628842,1120756,1961999,3335018,1972873,1972870,3355835,5458344,8418405,5453549,3352624,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,5446142,8435303,12440571,17621950,17623252,12442431,8410831,8410830,12442429,12566783,12566784,10458914,6894093,6894095,10458923,15165688,15166644,21112804,28322804,28323663,267964924,28763441,28763442,29414548,22084308,15978273,15978272,21289697,28509685,28770515,28509795,21289808,15500488,10719572,7082097,7082098,10719574,15500490,21509568,28509563,23225967,21289422,21289421,16418593,16418592,15320609,10581839,10581832,6980756,6980755,10581829,15320598,21284161,28502327,28766101,268385950,28502362,255123980,15320614,15320678,10581881,10581880,15320676,21284272,21284191,21284192,28502372,29135877,37696613,36999700,36999699,28502442,28502441,21289546,15324303,10584222,6982179,4387042,4387040,6982174,10584210,15324279,17911877,17911870,17911871,21912564,21912565,29228952,21912547,21912550,22034690,22034691,29228863,21912459,21912429,15830110,10970197,10970196,15830107,17911882,24294045,31809094,26009857,19335816,13827214,9483146,9483148,13827219,15933325,11056306,11056307,15933327,21857958,15785877,10936040,10936041,15785883,15931670,11054805,11054806,15931673,15931678,15931679,15931250,15931249,22032662,254870960,11056297,11056298,7929145,5040530,3051639,1777723,1013510,571307,571306,1013508,571309,571308,1013512,1777727,3051644,5040539,7330726,4631301,2790004,1618614,920655,920656,1618617,2790008,4631309,7331245,11056259,15933262,22034630,29365070,23852593,17509975,12347230,12347232,17509980,23852601,31345964,29920430,22561313,16382087,11401327,7575805,254783399,16382088,16382173,11401380,7575837,4791547,4791548,7575839,11401384,11401189,7575733,4791497,2888218,2888219,4791502,7575737,11401200,16381876,12915200,8785513,8785512,8785524,5721983,3562301,254429869,8785525,12915219,18209128,24673012,29921033,22561805,22561806,29921035,38481093,41089528,32281599,24672981,18209102,18209103,24672983,32281603,256993806,59765697,48382311,38479664,38479663,41739941,48382719,38480085,37391575,37391574,47300747,49108472,39178818,30580993,23163474,16901235,11827712,11827711,16901233,255965635,39178698,49108418,58856014,47472076,37565429,29018833,21730250,21730249,29018829,31739032,31737623,31737624,39178610,30580760,23163249,23163248,23163241,23163242,30580755,29019996,24124933,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688757,1688753,2911049,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723860,21750767,29011620,21724524,15679173,255422949,29011612,37558020,257472549,37583878,37583879,29036522,21744717,15693571,10864229,10864228,15693569,21744713,29036516,29051486,37599505,47503377,47488019,47479996,47471799,256551290,21729958,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,15696822,21749482,21749621,21749653,29042288,29042047,29042048,29031452,29031453,37578709,47484328,47491013,47491014,58865995,47483834,38891961,30305928,29032938,21741553,15691061,10862464,7181800,7181798,10862460,15691054,21741543,29032921,29045621,29029278,21738553,15688853,10860926,10860925,15688849,255423179,4521382,2717654,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,4520353,7175631,7174716,4523339,4523338,7177496,7174868,4519533,2720914,1576680,896391,505655,283432,283431,505650,896386,1576669,254340589,7184757,10853403,15677215,15693431,15693430,15688201,15688202,258707251,87907879,74304074,61526478,61526479,74304075,61526480,50047144,40027354,31347499,23854016,23854017,31347501,268706070,58570544,47181572,47181545,47181544,52135319,41819520,41819521,41819499,32896367,25186745,25186744,32896365,41819498,52135269,47181560,41819422,41819421,40459218,40459219,41819473,41819474,47181524,47181523,58570504,71302518,84877055,77070958,63956386,58570479,58570480,51065138,40924490,40924489,51065137,62694379,62694484,58570552,47181582,47181581,47403044,58790589,71520209,74783438,61987110,61987106,50495127,40459208,40459209,50495129,47181549,37275407,37275408,47181551,52135314,52135315,58670459,47279206,37369635,37275413,28742882,21484923,21484924,28742886,37275421,47181562,52135215,63956376,63956380,59965212,48573288,48573287,59965209,72702559,71302507,62694376,53518003,53518002,258326727,58570497,47181518,257451761,47020844,47020843,47403051,37495228,37495227,47403049,58790590,61987112,50495135,40459215,31764762,24252950,17875391,17875392,24252954,28742879,21484917,15480840,15480841,21484922,21484901,21484900,28742843,28742905,21484934,15480845,15480844,21484929,28742896,32896327,37275392,28742868,28742869,37275396,30080438,22698962,22698963,30080442,38657519,48573291,58790511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067156, s2 = 14065656, dlinesl.size( ) = 2 s1 = 14067156, s2 = 14065656, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14067156, Dl.E( ) = 34, 2.6e-05 seconds used appending s1 = 14845227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9743773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9743773, s2 = 15108882, int(edited[s2]) = 0 s1 = 9743773, s2 = 15108882, d1 = 0, d2 = 8 Dl.O(d1) = 10748993,7101623,4471261,2686392,1556157,884736,499213,499216,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,1556484,1556486,2687051,2686874,2686875,4472175,7103226,7103501,10751937,15546061,16349374,11376812,11376813,16349375,22522535,22518110,16344753,16344752,12003102,8057074,5148330,5148329,7560404,7560405,11369915,7553598,4776713,4776712,4779328,7102190,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915500,7312266,7312265,8978204,8978206,11369714,7553455,7553456,11316274,7513701,4749732,4749729,4779180,7557935,11376338,9927408,6524482,6524483,9927414,9927718,6524672,4088137,4088138,5277010,3230912,1894755,1081403,607369,337979,185644,101542,101541,185641,337970,607351,1081364,1894663,3230711,5276633,8205415,12173201,17294372,22526620,20123409,14431743,9927255,9927254,14431740,17097021,17097022,17514510,23588474,17276632,17276633,17177129,12077526,12077527,11368014,11368013,11368028 Dl.O(d2) = 255157678,254584858,7538081,11343154,16302177,16302178,17360873,16342745,11371198,7554393,4777114,2879077,2879074,4777087,7554339,11371104,15978028,11091862,11091864,15978033,16768831,16768835,23008209,23680789,22482553,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983887,10586778,15327987,21294534,16764933,16764934,23004477,23584101,254580034,23586046,29354125,31072977,254759396,29875272,29875273,30072623,30072615,30072616,31069227,23584990,17272561,12151792,8182153,5251880,5251879,8182151,12151788,17272553,22016117,17273487,17271939,12151077,12151076,11047425,7322322,4623502,4623503,7322326,11047432,15924605,17273329,17276911,12257342,12257341,16356064,16356066,17259837,254759136,17282024,17282023,23594302,31077633,29347621,22015752,15914170,254104536,7562758,11383246,16325724,11357943,7546132,7546134,11357952,15919522,11041856,7316381,7316382,8188113,5257722,5257719,7552699,11368413,16339111,15735816,15735817,17539906,17539907,22500167,16325905,16325906,22500168,22509021,16335437,11365692,11365691,16335434,22509020,28831182,28831181,22518162,20303493,20303492,254393000,11364147,16333614,16342141,11381708,11381707,16355204,15905687,11027166,11027165,11364720,11364729,7550406,4781804,2881531,2881530,4781444,7561691,11381538,16355029,12171830,11035527,7310139,4613874,4613876,5257816,5257818,8188257,5270270,5270273,8186345,12155886,16329071,254132346,7547675,7547727,7547728,11360535,12142956,12142954,14493410,12215163,8245519,8192492,8192493,12162009,17283017,15929812,11052930,11052928,14430855,9926601,9926600,14430853,14430886,12201418,8232656,8232651,11363328,7549542,7549540,11363321,12838999,12839000,16332983,22506808,16335910,11366039,11366038,12143398,8172903,5242115,5242116,8172909,12143415,12203334,12212125,17289574,12168602,8200470,8200469,12168594,12178094,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,15818470,11366080,7551253,7551255,10960086,15815408,11366718,7551659,7551658,11366724,15586295,21099329,15584981,10781204,7123624,4485210,4485208,7123611,6890429,6890430,10452745,11358900,7546714,4772948,4772949,7546724,11358921,16327021,11737123,11737124,11332389,11332390,7550810,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,2336945,2336941,3901990,6232342,5590698,5590696,8603383,12668787,254875220,24264315,255201964,40471424,256552406,50491900,50491901,61983788,74779929,259540331,116506293,117854289,103699826,89583941,269932861,51187280,41030849,32238356,32238355,41030847,51187277,62837330,62837328,62837329,75801479,89583936,89583937,103699821,117854288,105990866,91796109,91796108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9743773, s2 = 15108882, dlinesl.size( ) = 2 s1 = 9743773, s2 = 15108882, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9743773, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 9796429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9796429, s2 = 6518150, int(edited[s2]) = 0 s1 = 9796429, s2 = 6518150, d1 = 15, d2 = 10 Dl.O(d1) = 18575965,16452850,11463437,7624911,4824173,2907080,2907078,4824168,7624901,11463428,16452839,22642684,22642558,21474864,21474863,22647145,22647148,30016383,22644342,16454130,11464422,7625565,7625563,11464414,16452667,16456272,16456274,22644292,16454103,16454102,16456218,17147060,16452664,16452662,22642451,30014276,25128983,25128435,18575989,18575988,25128429,32833310,41754155,38587041,30014614,30014615,38586841,33230930,32833411,32833410,30014516,22642636,16452811,11463411,7624893,7624894,11463416,16452822 Dl.O(d2) = 255485577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9796429, s2 = 6518150, dlinesl.size( ) = 2 s1 = 9796429, s2 = 6518150, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9796429, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 9806355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9513548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14027277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14027277, s2 = 829882, int(edited[s2]) = 0 s1 = 14027277, s2 = 829882, d1 = 70, d2 = 90 Dl.O(d1) = 24061191,17706191,17706190,24061189,22383096,22383097,24061088,29742316,29742195,22383115,16225323,11279130,7487151,7487152,11279134,16225331,22383129,22383297,24061147,29742033,22383261,22383235,22383236,17706203,12524475,8486295,8486296,12524483 Dl.O(d2) = 256987102,38827050,30243698,22849690,22849693,30243456,28674540,21426672,15434356,15434355,21426670,28674539,268812324,23781855,23781856,24765250,32385812,39761919,47092699,37196920,28674542,28520731,23563698,23563697,31047845,256325547,28674563,28674562,24764064,24764063,32384520,41204852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027277, s2 = 829882, dlinesl.size( ) = 2 s1 = 14027277, s2 = 829882, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14027277, Dl.E( ) = 94, 2.69e-05 seconds used appending s1 = 14275881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14275881, s2 = 5460633, int(edited[s2]) = 0 s1 = 14275881, s2 = 5460633, d1 = 83, d2 = 33 Dl.O(d1) = 53834270,65901484,79263777,93390159,100041461,86078698,72481147,59746542,59746543,72481194,86078730,86078707,72481155,72481154,86078706,100041470,107812389,114067922,100041450,86078684,72481130,59746483,48363356,48363357,59746484,61839274,61839275,59746623,48363497,38461808,38461807,48363496,48363415,38461714,29904558,29904557,38461712,48363412,59746548,59746553,258146471,48363527,48363526,48363536,38461837,38461706,29904553,29904529,22548575,22548574,256414681,38461844,38461845,48363543,59746668,72481167,59746516,256957063 Dl.O(d2) = 225195154,222893035,220219830,264326300,208617517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14275881, s2 = 5460633, dlinesl.size( ) = 32 s1 = 9813485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13348421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6526325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13188243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13188243, s2 = 15130720, int(edited[s2]) = 0 s1 = 13188243, s2 = 15130720, d1 = 14, d2 = 21 Dl.O(d1) = 5593027,5593026 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13188243, s2 = 15130720, dlinesl.size( ) = 6 s1 = 1884006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15162157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15162157, s2 = 15054830, int(edited[s2]) = 0 s1 = 15162157, s2 = 15054830, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15162157, s2 = 15054830, dlinesl.size( ) = 2 s1 = 15162157, s2 = 15054830, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15162157, Dl.E( ) = 2, 9.78e-06 seconds used appending s1 = 2809610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2809610, s2 = 10221635, int(edited[s2]) = 0 s1 = 2809610, s2 = 10221635, d1 = 14, d2 = 13 Dl.O(d1) = 14060946,19620304,26349475,26349498,34223610,43321605,46738401,41659426,32748748,32748749,36609854,46475874,57831773,70533424,64192341,52342284,42003364,33059821,28676792,28676793,35329238,34223584,34223585,43321585,53845957,59598368,59598367,59093829,47695415,37774023,34223614,34223613,38159784,29593429,22244701,16107817,11188553,11188552,16107815,22244697,29593416,38159771,48072489,51059383,51938130,47238647,37328918,37328917,47238644,55331383,44485349,44485348,55331379,67671045,81137213,81257404,67788098,55444617,44594467,35213766,35108292,35108293,44485274,254316456,55444629,49386230,39458101,39458100,32727555,32727556,41634498,254637580,55331386,44485351,44485350,51938154,51938153,63749752,76856740,81137176,67671002,67670996,67670997,58631971,58631970,255330628,76856730,90730406,90920247,77039439,63926706,52107087,52107088,60787073,55331374,55331372,67671036,268175480,44485340,41634511,32727563,25039998,25039999,32727566,41634514,51938158,55331361,44485327,35108367,35108366,255330624,268338576,254976952,20130606,20130604,27022284,35108289,37394467,37394468,37394472,37394471,256221480,47303847,47303846,58694232,47303836,40631477,40631476,50690388,44485275,44485277,256221462,27022420,35108404,44485378,55331428,67670989,58691985,58691986,71424741,71424751,71427033,71424742,58694227,47303831,255746446,71427035,85000147,75070181,62242797,62242796,67671066,58691994,58691995,67671055,71426793,58694045,255746454,58691950,47301504,47301503,52347707,58694234,71427038,67670991,55331318,44485267,44485268,47303843,37394490,28853944,21581521,21581523,28853947,37394478,28853936,28853937,37394479,37392342,37392344,37394485,37394282,37394283,255413234,44485381,37392299,28852061,21580005,21580006,28852062,254739672,47303849,50643025,50643024,50690385,47303551,37394197,37394198,47303553,37394481,37394482,44485316,35108357,35108355,37394487,37394486,37850954,47774014,47303641,47301569,37394178,28853675,28853674,37394176,37394292,47301570,58692008,71424758,84997742,71424721,71424722,80359472,66933528,257285126,72734782,59997595,48606094,38690632,30114739,30114738,38690629,48606091,59997593,48606096,48606097,59997603,60121113,72857951,86453494,100410488,94413306,80359459,80359426,80359427,80359445,80359446,66933509,54676784,54676785,66933513,71530000,71529999,85101250,71530002,71530001,85101251,80359475,80359461,66933520,54676792,43934031,34660392,28800360,21534135,15519637,10733490,10733491,255410685,28800294,21534081,15519596,15514657,15514658,21527248,28791914,37328950,47238692,58632021,58632012,47238682,37338381,28800380,28800379,28800384,28800385,30548835,39146689,49076403,58641252,47248167,47248168,58641253,58641239,58641238,58641286,58641304,47248226,47248227,58641305,47248231,37338323,37338322,47248229,58641307,71377459,258691548,78005864,78005860,64812037,55331480,44485449,35108485,35108484,29688969,29688970,29688972,22336383,22336382,29688971,38254133,48163276,48163277,59549832,59549833,72284123,255937302,48163317,59549868,72284142,268233652,59549862,48163310,38254136,29688974,22336384,255904627,256943057,59549859,70683827,57965641,46589239,46589238,57965637,70683822,84236673,85128917,71558451,71558450,85128916,257561478,71613206,71558456,268958472,71558466,58831073,58831074,70684245,84237123,85128931,85128921,85128920,99053701,270840650,90751980,258794076,71558443,71558452,85128919,85128900,85128901,71558438,58831158,47445167,47445093,37537092,28991989,28991990,256890225,258080975,58831065,47445089,37537090,28991988,28991987,37537088,269322551,71558446,76873496,63764476,63764477,76873497,85128910,90751976,90751977,104932083,90751978,76873498,64258916,52403486,42059579,33110412,33110411,33110413,42059583,48689401,38767567,33110408,25375066,25375065,33110405,42059570,52403479,52403495,52403494,48689405,38767572,30183943,22794235,16577679,13383491,13383490,18790163,25375079,32441478,36787970,42059588,33110418,33110419,42059591,52403503,64258934,65958095,65958094,79321859,93453016,100130856,100130855,114164468,126215077,112355314,98373177,98373178,112355316,98373183,98373182,98373181,98373179,98373180,84464019,70907794,70907793,70907792,58195133,46829204,46829205,58195136,70907797,84464025,258718750,85407341,71818700,59077438,255868810,37755094,47677301,59077440,71818702,85407342,99350654,105368022,258376758,257762440,91150106,77234256,64089834,64089833,259009701,64089837,52242359,41905063,41905062,257475899,256895967,29060112,21764617,21764618,29060113,37609268,257475675,259335013,99099536,99099535,91674878,77747516,77747517,91674880,101008226,101008225,91674907,87014842,258733132,49252802,39326541,257022983,52663563,42276208,33294966,25533481,25533478,256650313,33294955,42276189,47515123,58894861,71614577,85178973,85178966,85178965,77747514,64564420,52663531,52663530,64564419,77747512,91674875,99100348,85178996,77747522,64564430,52663543,52663544,258085607,52663524,42276167,42276168,52663526,46371071,36512146,28048014,20879811,14977827,10310287,6781444,4250895,4250896,6781450,10310299,14977847,15863918,15863916,14977812,14977811,20879789,28047984,32559994,24908939,24908940,32559996,41419299,51266650,41089496,41089497,46371064,36512141,31503060,24004423,17659245,17659246,24004426,31503064,40188268,47359742,51600731,57721421,46371053,46371052,46371037,36512122,36512123,46371039,52342514,52342513,48524863,38609374,38609373,46371013,42003586,33060006,33059998,268740403,42003568,52342498,61691944,52342533,42003611,33060020,25330863,25330862,33060017,42003605,52002710,41691064,32774447,25077074,18534026,13169020,13169019,9975512,6556302,4107328,4107326,6556311,7872610,7872645,4997860,3019674,1754891,1754893,3019680,4997872,4997759,4997756,7872485,11789627,16856871,11789784,7872601,7872599,11789782,16857029,22990381,16751894,11705718,7872780,7872776,4998264,3019940,1755047,1755048,1754923 Dl.O(d2) = 129545869,115659620,259362974,87652065,101618924,101618889,87652039,74048877,74048875,87652034,101618887,115659582,129545858,115659611,259487555,74048890,74048891,85614774,85614775,99565104,101618898,258863203,49790167,39770431,31092286,23608735,17296335,17296334,23608732,31092284,39770426,49790150,60467243,49063717,39133688,30535025,30535026,39133691,49063722,60467253,73214198,259444155,114860590,128758313,142114300,142114298,128758311,114860587,114860585,128758308,142114296,129545866,115659590,259487553,87652043,101618900,101618894,87652041,87652040,101618890,115659577,259487551,61269080,61269079,74048869,73214193,60467247,60467248,73214194,73214238,60467291,49063747,39133701,30535034,23116401,255962523,257007985,60467287,73214221,73214222,86827392,100808913,100808886,86827364,78380578,65096795,65096796,65096801,78380588,92417925,101618951,101618950,115659656,114860613,100808922,86827584,73214426,73214425,78380581,78380582,92417919,106723506,120975651,134772126,147890902,262957011,186397834,177040382,262460974,142114287,128758294,114860574,271830291,142114290,142864529,154749626,166457069,177040387,186397837,180673217,170540007,167086614,155446808,142864527,129545885,115659615,105862664,91654780,91654779,105862662,120075227,114860733,114860732,128758433,114860736,100809069,100809068,100808762,86827237,86827238,100808765,114860465,128758183,142114163,262293181,177040282,186397738,194554194,201541177,262921352,177040385,177040384,262460976,147102189,133859294,133859295,147102191,159475439,154749470,142114161,134772112,133918442,120075224,260876975,146825163,133566898,133566897,146825159,159199670,154749623,142114314,128758337,114860617,114860616,128758334,261781835,159475436,147102186,133859293,119993822,119993821,133859289,119993825,105760407,105760408,260874477,147102194,159475441,170812491,180939070,263336891,170540005,159199643,146825133,260856559,259644047,258389733,269982439,259644049,260856561,128758332,128758331,142114312,271528454,105760406,91538146,77608722,77608723,91538149,105760412,119993828,133859298,261424824,159199671,260856564,133566900,119692460,105454439,105454438,106087150,119692446,119692424,119692423,133566863,133566864,133566865,146825139,146825199,159199698,159199659,146825154,260260684,270508472,91232924,105454426,119692447,133566885,146825153,159199657,159199636,146825125,133566845,133566846,133566861,261424831,119692480,119692481,133566923,146825151,146825185,133566926,119692485,105454463,105454464,119692488,133566895,119692455,105454431,259016673,64165498,77313600,91232928,261424827,271026452,159199639,159199634,146825129,133566852,119692413,119692412,133566850,260856562,159199672,159199700,146825201,133566958,119692533,119692532,119692496,119692495,133566929,146825156,133566889,119692453,119692454,133566892,120287513,106087153,91892132,269495196,259016680,105454433,119692456,258389724,149912736,146825131,133566854,119692416,105454399,271528456,64165474,77313576,259016668,133566860,257775070,159199684,260260678,260260680,147330463,269982440,258389736,146825157,146825158,133566953,119692522,119692523,117581831,258389722,91232989,77313648,64165539,52314015,52314016,257775078,269072740,119692526,122947331,122947330,108682290,94395229,94395228,108682287,256630956,119692515,105454490,105454491,119692518,133566951,259016678,146825204,271026454,259644042,103451465,103451464,105454498,258389740,257775068,256630952,77313645,255653708,257185584,91232982,105454493,119692521,105454510,91232999,77313658,255653710,80340825,66914406,54657647,54657646,66914403,77313657,64165546,52314019,52314018,64165544,77313652,91232992,105454499,105454489,91232980,77313643,64165537,52314012,41973563,256116017,25303940,268739675,269495201,77313647,259644055,105454523,259644052,77313674,77313685,91233031,105454508,258389726,105454521,91233014,77313671,64165558,52314031,52314030,64165556,77313669,91233009,105454518,119692509,105454487,91232975,77313641,64165535,52314010,269495199,271026457,64165565,52314035,41973577,33030362,33030363,41973578,52314036,64165567,77313680,91233022,105454531,258480800,134811846,128208282,258480804,100294609,100809063,114860728,119692551,119692549,133566963,146825205,133566964,121014926,121014925,121014924,128854167,142211924,270072160,141564680,128208285,128208283,141564675,146825212,133566977,259741586,91233029,91233028,105454540,119692563,133566975,146825220,154225780,141564681,128208287,114325137,100294612,86332327,86332326,86827580,100809065,271830293,128208301,128208303,257863332,114953764,100901157,86920722,73310526,60567260,49168003,49168002,60567258,73310520,268164270,114953755,128208276,121014928,106761535,258480806,78420185,72734600,59997373,48605834,269090010,86332320,256661818,107424182,107424183,121806827,125652622,111837379,111837378,114325138,271817399,154225783,141564686,141564688,135746362,135746361,148985099,259052602,260294808,186043160,176625503,270005730,135746366,121806832,107424186,255679932,78905148,78905152,65570042,53545285,53545284,65570040,78905150,930153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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2809610, s2 = 10221635, dlinesl.size( ) = 2 s1 = 2809610, s2 = 10221635, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2809610, Dl.E( ) = 22, 3.1e-05 seconds used appending s1 = 14166055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166055, s2 = 16065082, int(edited[s2]) = 0 s1 = 14166055, s2 = 16065082, d1 = 11, d2 = 13 Dl.O(d1) = 257680083,74714412,88342314,102338622,116432101,130269340,119883634,105644909,91418862,77488219,64324427,52457554,52457555,64324429,270514971,105644912,119883635,133754026,147004242,159387314,170737478,180878662,189583759,180685874,170554598,159216746,146843872,133586628,119712348,105473202,91251076,77331441,64184177,52333993,41994823,33051384,25322893,18744000,13343884,9117321,5965459,3730411,3730412,5965476,9117339,11616848,13343864,18743972,25322841,18743999,13343882,255253931,25322892,33051383,41994820,52333992,64184175,77331438,91251072,105473200,119712346,133586627,261962491,159216745,170554595,180685873,189583758,197273075,203832599,209308706,213800417,217485949,220560049,223174517,224670310,222286667,222286666,219510680,264709300,207409188,201525764,194535270,186373848,177011702,166426290,154715313,261062518,114816886,100764825,86784173,73171670,60424890,49021108,39091643,30495189,27063385,20169316,14470704,14470705,14468396,9954419,6542246,4098745,4098746,6542251,6542339,4098805,2451948,1417550,267750213,254083971,142742,257651,457013,806457,1417538,2451928,4098760,6542272,9954460,14468461,20166822,27060632,35146166,44522551,55368619,67708348,259164697,258451065,53321274,42858616,33817133,26000045,19327792,13821139,9478860,6215446,3890321,2329282,1350032,770161,437666,437667,434308,245264,135481,73677,73679,135487,245283,245068,135411,73646,39811,39810,73643,135400,245017,433743,440360,267749663,1360936,2349255,3924078,254950153,11790596,8976755,5860349,3658472,3658473,5860353,8976761,7872663,7872660,7873238,4998261,4107317,3019712,3019713,4997915,7872711,4997916,4997917,7872719,11789613,16856857,16857110,11789858,9975519,9975518,14497573,11789791,7872817,7872815,7872824,7872823,7872615,4997845,3019665,3019666,4997848,7872621,11789809,11789900,16857168,11790586,11789788,11789787,16856992,11789736,7872563,4997811,3019644,1754879,998542,998543,1754882,3019652,4997825,7872588,11789768,7872729,4997922,4997828,4997829,3019701,1754905,998554,998555,1754911,1754927,3019733,4997949,7872770,11790014,16857194,11789936,11789934,16857192,16857321,11790070,11789829,7872638,7872632,4998018,4998017,4998021,4998229,3019907,1755031,998621,562466,562465,998619,1755027,3019904,4998222,4998330,4998329,7873052,7873053,11790339,16857617,23117014,17246322,12128452,11790719,11790720,16858008,16857271,11790008,11790007,16857268,255307684,16857179,16857267,16857918,11790642,11790643,16857393,11790130,7872889,4998027,254249489,1754955,3019777,3019814,1754973,998634,562472,314996,174201,174202,315002,562482,998664,998609,998610,1755006,1755075,3019982,4998340,7873055,7873282,4998286,3019947,3019948,3019992,3019991,4998352,7873356,11790308,7873122,7873123,11790457,16857777,11790547,11790219,9695871,9695870,7873297,4998300,4998299,4998106,4998105,4998095,3019830,1754979,1754968,998587,562452,562451,998583,1754964,3019800,3019805,3019806,1755041,998628,998627,562477,562478,998657,1755011,998613,998615,1755015,3019883,4998192,7873144,11790483,11790622,7873269,4998279,4998277,7872934,7872932,11790185,16857367,11790102,11790101,16857361,16857768,16857480,11790225,7872963,4998085,4998084,7872877,6376929,6376928,7872991,7872992,7872944,4998070,4998008,3019769,1754950,998577,998576,1754947,3019765,4997999,7872854,4998245,3019926,3019921,1755061,998645,998646,1755064,3019964,3019873,3019874,4998173,7873104,7873138,11790477,16857798,16857905,11790617,11790449,7873118,4998177,4998176,7873115,11790446,16857762,23117245,30535462,30535461,23116738,16857476,254958738,11790577,16857878,23116871,16857489,11790235,7872968,4998090,4998091,7872863,7872862,11790096,16857354,16857333,11790081,7872850,7872849,11790086,7873214,4998242,4998243,3019961,3019960,3019985,3019986,4998346,7872981,11790252,16857514,23116907,30535448,39134206,39134782,30536011,23117239,16857757,11790441,7873109,7873108,11790438,16857752,23117234,30536007,39134214,30535470,23116736,23116735,30535468,23117335,16857886,16857885,22679587,23116866,255962577,30535480,23116747,23116748,30535483,268164252,23116717,30535453,39134210,49064290,256463661,16857990,11790695,11790693,16857510,23116898,30535644,34275518,38657504,30080422,22698940,22698917,22698918,30080407,256972737,39134892,30536100,23117367,23117366,16857934,11790657,11790656,16857932,23117387,30535639,23116893,22679590,16482059,11484105,11484104,16482054,22679581,30056149,38630270,30056131,30056132,30535646,38657488,48573280,59965196,48573261,38657452,30080362,30080361,30080380,30080428,30534874,30536156,26400675,23117450,23117451,30080388,22698901,22698902,22698889,16495855,11493128,7644025,4835864,2913873,2913874,254542001,11493146,16495883,22698983,16857955,11790672,11790673,16857960,23116882,16857498,16857499,23116888,30535636,30535503,30056144,22679577,22679576,30056139,38630282,30536003,30536001,38630268,39134376,39134901,30536108,30536109,39134903,48573257,38657449,30080393,30080392,38657480,48573252,59965191,48573251,38657441,30080391,22698905,16495832,11493113,11493112,16495829,22698894,30080377,30080426,22698944,16495861,16495862,21672430,21672431,15635169,15635170,21672448,255962589,39134907,39134367,30535631,30535632,39134369,48545149,38630277,30056137,30056136,32147081,32147080,39134935,30536141,30536139,39134932,49065076,39134897,39134896,48573275,38657485,30080400,22698909,22698908,30080396,24564292,18124762,12851986,12851987,18124764,18124768,22698897,22698898,30080387,30080369,30080370,38657461,30080418,28952631,21672442,15635166,10819739,7150589,7150590,10819741,15635172,18124690,12851956,12851955,18124686,24564182,28708827,21453963,21453962,28708824,37239588,47144911,40924473,32147084,32147083,40924448,40924449,39134353,39134354,39134938,49065091,49064485,49064483,47403007,40924607,32147221,32147101,32147093,24564195,24564194,32147087,32147110,40924453,32147293,24564316,24564317,32147298,40924694,32147302,24564362,24564361,32147244,24564283,24564282,32147242,32147202,32147201,40924598,51065246,60467992,60467991,51065409,40924764,40924763,47402989,47402990,40924656,40924655,40924588,32147195,32147197,40924592,40924513,32147125,32147127,32147117,32147118,40924509,51065152,40924834,40924613,32147229,24564279,18124758,18124757,24564277,24564203,18124705,18124706,24564207,24564285,18124791,12852001,8739654,8739655,12852003,18124792,18124816,18124815,24564366,32147237,32147238,32147207,24564264,24564263,32147206,40924595,51065242,62694467,62694491,51065376,40924732,40924731,51065226,51065227,40924582,40924583,51065236,51065166,40924519,32147131,24564221,18124712,18124711,24564214,268706069,32147414,32147413,40924564,32147169,24564246,18124737,18124732,18124733,18124745,18124725,18124727,18124783,12852012,8739657,5689678,3539467,3539469,5689680,8739663,12852024,18124822,24564372,32147213,24564268,18124752,18124753,24564270,32147050,32147049,40924432,51065104,51065372,40924728,40924729,40924441,40924443,51065116,51065502,51065503,62694394,51065162,40924516,40924515,51065160,51065465,40924816,32147397,32147396,40924815,40924813,32147395,24564368,24564367,32147392,32147408,32147407,40924828,51065474,40924820,40924548,32147151,24564234,18124719,12851967,12851968,18124721,18124778,24564308,32147280,40924684,32147364,32147363,24564353,24564352,32147373,40924800,51065449,62694359,51065094,40924422,32147043,32147039,32147041,40924419,51065089,62694354,75638660,62694559,51065352,40924714,40924715,39134842,39134841,49065019,60468444,73215203,75638751,62694509,62694510,62694447,62694446,60468437,49065011,39134838,30536051,30536050,39134835,49065008,40924542,32147145,24564229,24564230,32147148,40924546,51065198,51065289,51065288,51065321,51065442,40924798,32147368,32147366,40924792,51065438,60468455,49065033,39134851,39134829,30536047,255962585,16857845,11790535,11790538,16857853,23117319,30536070,39134860,49064995,60468412,65400959,75638778,62694576,51065366,40924725,40924724,51065362,61720590,50241796,50241800,61720593,74501955,88113437,81583976,68094166,55696694,55696695,68094171,62115664,62115662,74919478,68094200,68094201,55696783,44789515,35365161,35365162,44789519,55696787,48337875,38433817,38433819,48337880,59722578,49064971,49064970,49064974,60468390,55696755,44789479,38433812,29874228,29874227,23117302,23117303,30536045,39134823,42930751,53397321,62115957,62115956,62694571,62694570,70684333,57966205,49286074,39359079,39359080,49286077,60687384,68094180,55696702,44789439,44789440,55696707,61720510,61720509,68094206,55696728,55696729,44789524,35365165,27241817,27241818,35365134,27241801,27241802,35365137,44789476,47403043,55696772,55696715,44789444,44789443,55696712,55696763,44789489,44789491,38433809,38433807,40889141,32115425,32115426,40889146,49064990,49064989,60468404,73215178,86828231 Dl.O(d2) = 68094233,62694440,62694442,60687380,60687378,73435620,68094227,55696760,44789485,44789484,55696698,68094175,74501866,74501865,68094248,55696797,44789530,35365174,27241822,20311030,14576127,10030010,10030009,14576122,20311024,27241810,35365150,44789497,44789507,35365155,35365154,44789500,55696743,68094217,59722565,48337865,48337866,257693558,51026490,51026489,62652532,73215175,86828225,86828226,100809590,103494215,95618183,95618185,86828219,73215172,73215174,81584031,68094229,55696753,49064111,44789448,44789449,55696718,68094193,81583986,95618138,81583952,68094144,55696673,44789419,35365099,27241782,20311014,14576116,14576118,20311016,27241788,35365109,44789433,44789466,35365124,27241799,27241800,35365131,44789470,257932073,59722561,59722560,72458432,62652528,62652529,75594924,75638717,75638718,89399892,100774010,100774012,271670008,100809580,86828216,86827464,73214294,60467684,49064115,39134005,35365158,35365157,44789513,55696778,68094237,81584045,81583931,81583930,95618123,81583944,68094137,55696671,55696672,60433750,49029996,49029998,44789428,44789430,55696690,55696738,44789460,35365120,35365093,35365092,44789409,257585959,39100916,39100917,49029986,60433743,73180672,86793121,81583936,75638713,62694457,51065212,51065211,62694453,75638708,89399887,81584006,68094212,68094213,81584011,73180620,73180619,86793068,92991140,92991139,79296116,79296117,79296112,79296110,79296138,79296139,78260849,78260850,73180647,60433715,60433714,60433768,49030010,39100931,30504729,30504730,39100934,49030018,60433776,68094153,73180705,60433782,60433783,73180708,81583923,81583924,73180670,73180669,86793115,100774031,92991134,78879528,65544423,53520281,43041870,43041869,53520277,65544418,78879525,92991132,100774004,86793077,73180621,60433701,60433702,73180625,86793080,93423795,79296120,65933523,53866898,53866897,65933499,65933500,259091156,60433722,49029966,39100910,30504723,23090321,16836020,16836021,23090326,30504733,39100943,49030027,60433790,73180712,86793154,79295976,79295975,79295979,93199746,79084984,79084985,92991155,78879544,65544438,53520288,43041876,33984370,26144504,255297145,13916396,255705865,26144506,256692989,43041881,257689968,65544451,73055244,60314548,255206286,38992682,48916346,256050776,257106754,100631701,114675273,128570644,141930802,141638595,128288104,114411989,100388949,86433544,258796425,60102480,48706930,48706931,60102481,72839099,86433545,100388950,114411990,261105526,126577927,112713709,98718346,84790638,71221756,58499679,47121118,37223408,28697683,21445947,255035100,10681801,7056184,254225618,1545228,1545227,1545226,1545225,2668245,4442124,7056182,10681799,15449508,21445946,28697682,37223402,35249816,35249815,35249778,27151408,20240803,20240804,256232241,44634175,44634238,44634239,55484286,67825772,81291956,95348464,109601173,100343167,86385781,72789758,257559179,48654812,48654814,48654813,48654814,38733943,30152149,22764358,22764357,22843586,16620577,11593374,11593376,12001063,8054496,5145371,5145372,8054499,12001069,17088544,23356774,30781423,256978381,60051136,72789759,86385782,74187762,61408164,49928775,39909692,256007799,17424586,12281416,8294293,8294294,11271444,16214472,22368905,29380056,29379680,22049290,15946112,11065644,11065645,14528461,16604115,16604114,19801515,19801516,26609213,30213251,34649219,34649220,35256615,44641095,55491088,67832314,81298126,95354076,109606129,99872935,85917688,72324440,59589994,48203541,38294152,29727210,22370506,16574295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166055, s2 = 16065082, dlinesl.size( ) = 2 s1 = 14166055, s2 = 16065082, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14166055, Dl.E( ) = 14, 1.5e-05 seconds used appending s1 = 13173473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13173473, s2 = 13291869, int(edited[s2]) = 0 s1 = 13173473, s2 = 13291869, d1 = 107, d2 = 144 Dl.O(d1) = 254349554 Dl.O(d2) = 11812420,11006665,11006666,15878119,21168321,15210663,10492307,10492308,254721554,255019136,29403173,23139700,16879400,16879399,15206621,15206616,254329316,30853359,29723481,255383818,25773637,19133523 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7991543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9800703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9800703, s2 = 7928203, int(edited[s2]) = 0 s1 = 9800703, s2 = 7928203, d1 = 29, d2 = 25 Dl.O(d1) = 650065,1158648,2010000,3407261,2266574,1314782,750386,750385,1314776,2021814,1156950,1156951,2021818,3292684,3038427,3038425,3301762,254414767,2050702,1176193,1176192,2050701,2022205,2022206,3423332,5537912,8539842,8539841,12560586,12322538,8323360,5370835,3301737,3301739,4494653,3418562,3418565,5533016,3474878,2061639,2005215,2005213,2045677,3411627,2820115,2820117,3037440,5019600,3441061,2036430,2036429,3441054,3401229,2005385,2005388,2048095,1174461,1174462,1985887,1985889,3374449,3405733,3402139,2006149,2006147,3402134,2006228,2006205,2006204,3402213,3421890,2021124,2021125,2006357,2006358,3402433,5018775,7897689,6047079,6047080,5485870,3418169,2018173,1154589,1154588,2018170,2026051,3427872,5542399,5536332,267802149,1156465,1156464,2021032,3421788,5536330,3442545,3442544,3781180 Dl.O(d2) = 8521752,5594937,5594938,5540860,5540861,5540859,3426184,2024527,1158671,1158672,2010388,1149616,644903,644904,1149618,254174153,1007945,1768693,3037960,3417232,2034245,2034248,1181461,663696,368153,368149,663685,1135847,637288,353936,194084,254089955,637290,254188423,1175156,2033629,2003050,1165075,653858,653857,1165073,2034113,3438285,5553945,5506940,3427104,2025379,1159251,650404,650403,1159248,2025378,3427101,5526762,5021278,3038972,1769505,1769506,3038975,3443105,3443104,3781409,3781411,2265265,2265264,2820212,2820211,3378918,3378919,3432715,5547093,5557992,3442638,3442639,5519135,3405810,254413551,8520738,255584237,17757765,12597007,8572421,5568175,5568176,8323732,254848451,8534513,254610915,3423337,3423335,3471976,3471977,5013523,5013522,3032503,3032504,5014275,3407278,3407280,3286847,3286845,5348224,5556140,5019167,3036987,1767919,1007464,1007459,617850,343386,267746019,1100835,1926714,3275750,5329346,3472893,2060073,1182203,1182204,2060076,3472897,5596190,254614229,5568535,8572392,8557222,5554097,5018086,3035936,3035937,2392668,1384789,1384787,2392660,2732602,2732597,1583456,1583455,2732590,4545662,7214724,255056115,256026909,23984377,17705946,12524265,12524263,12625867,12625866,17645294,12471640,8440895,5450316,3350502,3350501,5450313,8440892,12471636,17645287,255200283,8580977,8580976,12638542,16890730,11819474,11819475,16890733,13640208,9340501,6118194,3827990,3827992,6118198,8431390,8431389,10909590,7214974,7214975,9670221,14060742,19620022,19148047,19148048,19088650,13628416,13628417,19038837,23744732,31228517,26360407,19629197,15754593,10910780,7215922,7215923,9553553,13918990,17619872,23969347,24278472,21820676,15754243,254749781,255056275,21820674,24185634,31694048,25973307,23988002,23988004,31485298,35117168,27030545,27030543,29376237,25663745,19043889,19043890,21820859,29127674,31487137,31487138,25735133,25735134,29128426,21821637,15755146,10911289,10911288,13990343,9610850,6312645,254094614,17837282,17837281,13672726,9763283,254667628,5572021,3456179,2048736,2048737,3456180,5572023,8312526,5363698,3297346,3297347,3297353,1939309,1939310,254591549,12306850,17457330,23788384,256515857,25880560,19221467,19221466,25880558,29783596,22418164,16252860,11299629,11299630,16252861,22418165,29783598,38356118,38356117,34313306,26435128,26435127,29604482,38170692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9800703, s2 = 7928203, dlinesl.size( ) = 12 s1 = 14114417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114417, s2 = 6479570, int(edited[s2]) = 0 s1 = 14114417, s2 = 6479570, d1 = 120, d2 = 35 Dl.O(d1) = 261559200,260404874,150445098 Dl.O(d2) = 255009036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114417, s2 = 6479570, dlinesl.size( ) = 8 s1 = 7869318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14061499, s2 = 16214646, int(edited[s2]) = 0 s1 = 14061499, s2 = 16214646, d1 = 3, d2 = 1 Dl.O(d1) = 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49,21060222,21060224,28262150,28296324,21088887,15148374,10447563,6887426,4323913,2586912,1491293,1491294,2586913,254491155,10447598,15148437,20070395,14386832,9892401,9892399,14386829,20070390,268376943,15148430,10447590,6909986,4339789,2598077,1498756,1498757,2598079,4339794,4339830,2598099,2598102,4339834,6910084,5367326,5367327,8317792,12314143,15207595,15207594,15206431,15206432,15648253,15648252,21165799,21160894,15204576,10487450,6914752,6914751,10487449,15204573,21160891,26577596,19774917,19774918,26577598,255561448,19780988,14168585,9740529,9740531,14168592,19773668,14163464,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018743,23018772,23018774,19774278,19774279,24139679,30767088,30767085,26579355,23451391,23344055,17077854,17077851,17077992,19775158,19775159,14164959,9738307,9738306,14164957,19776051,26578889,34565517,38435420,29876492,22519554,22519553,255906394,26579008,26576513,26576512,23346165,23346166,30769201,30769648,30769649,26578436,26578435,21677039,15638226,15638225,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163510,14164595,14164871,9738255,9738253,10821713,10821714,15638254,21677081,21986779,15890524,11015829,7292511,4598731,2766636,2766635,4598727,7292503,11015812,15890496,21986740,18352522,13029290,254199574,2151877,2151878,3605250,5784389,8872136,13029302,11992223,8043995,8043994,11992218,16778191,19365190,13851639,13851638,16778264,16778263,23018718,30423840,38277315,29711007,29711006,268315460,17078185,11991305,11991306,17078188,11992025,8043881,5134135,3121510,1824446,1824445,1824451 Dl.O(d2) = 39371244,30770625,23347522,17080462,17080466,23347538,29749030,22389196,22389194,23451450,17174728,15631105,10816964,10816965,15631109,21667119,28946433,30776179,30776177,28118439,20941262,15032744,10360379,6824081,6824080,10360377,15032741,20941258,28118433,34565627,37882889,29314053,21985931,15889629,15889631,21985939,26415888,26577877,29254273,28835821,28835824,21985699,21547957,15530043,15530044,21364041,21364039,16901575,11827921,11827920,16901571,23163921,30581498,25274139,18701798,18701799,22464561,16296265,16296266,11538848,10275544,10275545,14940430,16518660,16518659,22723850,30105322,38682230,268005452,21040045,15636210,10820361,10820360,15636207,21674083,28954756,268619877,28954749,28954748,37497373,33210926,25463126,25463125,26655387,26655388,34646583,37497415,28954818,21674095,21674094,256047812,33210922,38110570,38110569,29547341,22203710,16074019,16074018,22203708,29547338,38110652,254773964,21674048,15636184,15636185,15636221,10820368,7150967,4503239,2706156,1568227,1568226,2706155,4503237,7150958,10820345,255419185,21674103,21674102,28954766,28954768,28954758,28954757,37497384,47404874,38110417,255893151,16074023,11161932,7403840,4677366,2817870,1634780,1634779,2817866,4677359,7403827,255455537,256389281,37403575,28861989,28861990,25433879,18838915,17639573,15562526,15562527,21587958,28861963,25433873,18838910,13422223,10820351,7150961,7150963,10820359,11161792,16073779,11161776,7403750,4677320,4677321,4677344,4677345,2817894,1634793,929661,929660,1634788,2817885,4677394,5563349,5563346,8567689,11161985,11162002,16074137,22203702,22203701,16074066,11161962,11161963,11272801,11272802,11272808,11272807,15240803,21207097,16074009,11162301,7404058,7404059,10990819,10990818,15857219,21946407,29268718,29547672,29547946,29547945,38111131,47757672,37835225,29269174,256149636,23985335,17639581,17639580,22203747,16074050,11161953,7403851,7403850,11161949,16074045,22203743,22204078,16074329,16074331,22204079,22667773,22370847,22370845,29727618,29547431,29547430,268500032,29269584,29269583,29547324,25570244,18960544,18960546,21946414,29268714,267998336,16170533,16170530,268389622,38233441,48143836,58934608,71656024,85221418,99143821,113134081,126992321,260203882,153044477,164882344,156310865,143786180,130457785,116612992,102508760,88500259,83900116,70375542,70375541,60360973,48965765,39044433,30455156,30455155,39044432,33312137,32646846,24975288,24975289,267812088,25577649,23733691,23733693,23046716,16800964,11747687,7843454,7843455,11747694,12397387,8378247,8378245,11899186,13529053,13529054,15274802,21242118,17393376,12257256,8277961,8277962,12257261,13989467,15274843,10541344,10541343,13527405,13527404,12390585,8373302,8373303,8379802,8379800,12382210,8367172,5400155,3320328,3320329,5400161,8367183,11748335,8385305,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,8387278,8387280,7902944,5023660,3040790,3040787,5023652,5399536,8365989,12380596,12521759,17703258,24058161,24891157,24891155,23900168,23900169,30576932,23160148,16898922,12264266,12264267,17380705,23703353,30165320,23723924,23723923,17544734,17379662,12247117,12247120,12264258,8282531,5343539,3284156,1931452,1103364,619122,619123,1103369,1931422,1931424,1930908,1103131,1103129,1930899,3283141,5341553,8278734,12258347,17394850,23718642,31205633,25311543,18734782,13337005,10511442,6931538,4355065,4355066,6931541,10511446,14091325,19658896,23124399,19591090,14036693,14036692,19591087,24214453,23849351,17506965,254689446,19510257,26225102,22620310,16435640,16435641,21927613,29247762,29247761,32459686,24822073,24822072,18379184,18379183,24877026,29945437,38509192,38871030,48415210,38871676,30285799,22887941,22887942,28739048,21481402,21481401,21760224,15705047,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,11625954,7744173,7744174,11016841,11016842,15891647,21988065,17242463,12125098,8156328,267840627,254389555,8156326,12125094,17242459,23550527,17852951,17852950,19657365,17918506,17918507,24301780,19662797,17115858,12028580,8086709,5181249,3161322,3161321,5181244,8086682,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672637,4448535,7065417,10694610,15466713,17123493,17123741,21468271,22782575,16566961,14277964,12031405,12031404,17120742,23392588,24106359,17747572,12557594,8513917,8513915,11838384,11838383,16915656,19266108,13770625,13770624,19266103,25928099,33735164,42765223,254918482,255658990,37376795,28836574,21565049,15542998,10749514,10749513,15542997,255098594,15493472,10714336,267883831,4456400,7078397,10714346,15493493,21500487,20814025,14917956,10258141,10258142,13437369,9187023,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859786,25459579,30733666,30733667,39331787,49256638,39329969,30731639,23312930,17051496,11961959,11961958,17051494,23314806,23314535,17051541,11962007,11962006,11962414,17051590,23314941,17052364,17052365,23315989,30735141,30735608,30733453,23314425,17052171,11962379,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461073,22652990,30026193,38599027,48513775,39332801,38598959,38598958,48513717,48538133,38623359,38623360,48538138,39332008,30733960,30731567,29678433,22327223,22327222,23313688,23313689,30732598,39330719,39330718,30732757,23313843,23313842,23313825,17050861,11961604,11961605,17050867,16024975,16024974,16024779,11126409,11126410,16024782,22142663,17050777,16024860,16024862,17050510,17050509,22142356,29479837,38043073,38043638,38043639,268645027,22653097,29481650,38044822,47957948,42169730,33209906,25462000,256129189,42169729,52527769,48151885,38242903,29678196,29480790,29480789,30734842,23315677,23315676,30734838,39332665,42164191,42164192,33209894,25461987,18861693,13438567,9187754,9187753,13438562,18861683,25461975,22142706,16024807,16024808,22142711,29480272,22143202,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310257,255043242,42169805,49258069,49258068,42169791,33209961,33209963,39928659,267842152,38045855,29868509,29868508,29874080,22516480,16343035,11371445,8212028,5283147,254264606,12180256,17302310,22505731,16331865,16331864,22505730,267891802,11377783,16350472,22523474,29879653,31072816,32859055,25152323,22516664,16343206,16343205,254261494,16351415,12132829,12132828,10846450,10846453,15667947,21710138,22494199,22487515,16314850,16314847,17284226,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541299,11349329,16312347,22479134,22479136,22774115,22492310,22492308,29856734,38423006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14061499, s2 = 16214646, dlinesl.size( ) = 2 s1 = 14061499, s2 = 16214646, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14061499, Dl.E( ) = 6, 1.41e-05 seconds used appending s1 = 14133477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9800553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8146650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13240731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13240731, s2 = 4993817, int(edited[s2]) = 0 s1 = 13240731, s2 = 4993817, d1 = 115, d2 = 94 Dl.O(d1) = 337696,185504,185503,337693,606858,1080480,1080416,606811,337672,337670,334622,184059,100851,100852,184065,334642,600743,340742,340743,600666,1068793,1873645,1914742,1914743,1888551,1077831,605383,336922,185133,185131,336872,336874,605288,1077640,1093874,614152,614149,1093959,1900572,1915900,1609959,915963,915961,1609951,2775378,3242994,2774031,1609071,915487,516587,516584,915478,1083670,1083675,1898559,1890950,1873958,1068990,1068991,600787,600788,604023,604022,1069895,601240,334892,334891,254132423,609762,1085885,1097459,1097460,1921111,3267849,3208499,1879084,1072002,602357,335465,335466,602361,1072007,1879095,3208523,5251250,3208962,3208961,5240009,8170959,5260487,5260485,8191190,7322428,7315034,7315036,5290713,3242083,1902476,1902475,3242080,5290665,7323631,7324273,4971097,3209958,3209959,5253041,5254072,5254070,3250902,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3228876,3228881,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,3212423,1881692,1073494,1073496,1881699,3207928,4622288,7308271,5252430,5252429,4611498,3212378,3207466,1878428,1071648,1071649,1072525,1072386,602556,602559,1072236,1072235,1879461,2784134,3208946,3208947,4623407,3208476,3208477,4623474,2784179,1614911,1614910,2784175,4623466,5257033,5257035,8187500,11047469,8183816,5253423,5253424,8183819,11730108,12215760,12149954,12149953,11046754,11046756,8180006,8180007,8180655,11044721,11044720,8238778,8238779,11033493,7315302,7315301,11041001,255443613,15916925,11038901,11038900,15916924,17235841,12117680 Dl.O(d2) = 206864627,206514688,200474520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13240731, s2 = 4993817, dlinesl.size( ) = 2 s1 = 13240731, s2 = 4993817, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13240731, Dl.E( ) = 122, 6.41e-05 seconds used appending s1 = 11037760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6426219, s2 = 9022493, int(edited[s2]) = 0 s1 = 6426219, s2 = 9022493, d1 = 16, d2 = 11 Dl.O(d1) = 254209666,3198716,3198718,2040132,2040129,1914674,1093477,613858,613859,1093483,1914692,3258943,5308768,8236451,10962362,7256310,5961976,5961975,8231988,8231989,11284667,7491708,4735251,2853559,1655966,942226,942225,1655849,1975414,3359984,5463426,3359472,1975064,1127527,1127525,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,1087140,1087129,1087130,1904239,3243588,3243589,3201388,1874389,1096243,1096242,1919117,3265115,5264336,3229247,1893659,1080749,1080750,1893661,1893787,1893788,3229432,267841089,1875496,1875499,2774010,3223515,1895763,1895760,1897012,1082758,608119,338419,338420,608126,1082779,1897052,1922727,1922725,3199441,3199443,5238969,3198145,3198144,5238966,8169872,5315872,5315873,8121632,5256856,254262831,1073764,1073765,1607587,2771885,2777615,1613736,1613735,2781982,2888846,2888847,3245447,3245446,4621381,4621380,7319693,5280236,3233617,3233618,3329242,1958032,1958030,2846163,1651289,1651288,2846157,4676169,4676170,4962932,2997328,2997330,4962940,7820805,11159979,11159978,11718901,7820924,4963045,2997386,1740787,254248111,4963040,5237646,8168144,12138129,255487695,11482548,7637195,4831678,2911437,1688975,960499,960500,1688979,2911450,4831702,7637221,255107197,8223014,8222188,7493347,5256821,3212958,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673 Dl.O(d2) = 3267358,3267359,5238924,3198111,3198110,5238922,8169828,8181630,5251292,3218277,1885735,254263205,5263062,8193382,8207826,8207825,8243365,7574162,4790361,2887503,2887504,3208818,254835285,16765280,11718044,11279615,7487521,254777019,16225994,256405251,35118467,27031716,20139073,14445229,9937558,254977549,20139068,17518512,17518511,16777656,11730575,7831685,255511239,258811425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6426219, s2 = 9022493, dlinesl.size( ) = 2 s1 = 6426219, s2 = 9022493, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6426219, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 9808305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9808305, s2 = 10989999, int(edited[s2]) = 0 s1 = 9808305, s2 = 10989999, d1 = 10, d2 = 4 Dl.O(d1) = 254132897,1889037,254392995,1893341,1080569,606916,337717,337718,606917,1080573,1893343,1875546,1875545,3203022,5243304,3227665,1892525,1080019,606605,606606,518996,291036,161041,88550,88551,161044,291039,519002,920417,1618102,1611145,916632,916631,1607385,1607384,2771584,1608916,1608917,1608114,914860,516268,289717,160371,88255,48565,27150,27149,48561,88243,254085979,516181,914673,1607789,2772189,2773618,3220210,3220208,3246061,3263487,1917890,1917891,2786632,3082923,4614491,2778691,2778692,2788144,1617576,920116,920117,1617578,1617511,1617509,1870270,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,601943,254180733,2783636,1614628,1072833,602774,602773,1072830,1880523,3210768,3207077,1878177,1878178,1881329,3211964,1884803,1884805,1878729,1071973,1071972,1077017,1077015,1616637,1875365,3202773,3208687,2788666,2788665,2776858,1610876,916487,916489,1610883,2773068,2773066,4607124,4614170,4614171,4608787,2774603,2773642,1608810,915315,915313,915286,915289,602063 Dl.O(d2) = 335150,184310,184307,335161,601802,1070980,1877283,3205736,5247755,4731704,4731703,7328132,7328131,7819063,4961163,4513441,4513443,7166029,268075655,15625396,15625397,17008697,15627692,10814106,10814107,14388361,12206317,8238175,5310708,3260819,2690914,1558895,1558893,2690905,4478672,7113280,10766045,7146832,7146834,10814512,14383319,14383317,14380206,14380204,14384442,16589327,11569072,7703490,4875429,4875430,7701144,7699327,7699325,4873709,4873711,7700669,11569347,14355599,9863814,6479392,6479393,9863822,10882490,7195261,7195262,6486620,4064563,4064564,4075199,2942171,2942168,4882700,4075753,2942263,2942261,1706316,1706319,2942340,4872121,7698102,255496113,14391927,9898139,9898141,14391930,20074483,20063870,20063871,15726290,10893789,10893788,11119268,7375224,7375225,11119270,14358370,20043272,16617147,11590822,11590823,15730469,15730470,15627695,14386802,255326475,15725572,15718109,15227431,12302185,12302184,17451579,20061606,20061604,255915075,16291328,11334408,7531843,7531844,10880540,15626310,10888680,7200512,7200511,10888679,15725239,20066412,20067615,14383730,255326165,12216437,8246651,5318341,5318342,8246654,12216443,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942261,1706326,1706324,2942350,4883002,4069188,2434925,1747449,1747453,3008065,2724343,2724341,4532216,4531670,2724025,2724028,4531678,6498266,4071872,2436477,1408945,1408942,2430670,4061281,6481081,7175152,4519776,4519779,2728425,2728423,3003126,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9872092,6485331,6485330,6499812,6485304,6485309,9872060,10888878,10888875,12302811,16291017,11334090,11334091,11395386,16373892,22550302,22806606,16589172,16589170,20074020,14391298,9897331,9897332,14391300,11716801,7977050,7571217,4788245,4788246,7571222,11395156,12360052,8351234,8351233,9877683,9877684,7145588,7145589,9866440,9866438,11395271,9890864,9889999,9889996,9889589,6498307,6498306,7203575,9869402,6483274,6483272,6498826,9862987,9890236,14354444,20038759,255055079,10895438,15731815,21661868,15625974,10812228,10812231,10812612,7145304,4499254,4499253,7145301,4532500,4532501,7194638,10881790,11731636,8309157,254846719,14387356,14367844,14367845,15718963,14358696,14358694,11118605,7374631,4659022,4659025,7374634,9872331,9872332,14365641,15731867,16373606,14394174,14362881,9896275,9896274,9899446,14393175,15720170,16196295,16291294,20057871,14395727,14395728,14371787,9877799,6503077,6503076,4535244,4535245,7198596,7198599,7198600,10884271,10884272,9879425,9879424,9870580,9870579,6497365,6497364,7200965,9889181,6497964,6497965,4536896,2727084,2727087,4536900,6497961,6497962,7196171,7193679,4531920,2724174,2724178,2724997,4533228,7195654,9873601,6500664,4073382,2437347,2437348,2437715,2437710,4074095,6492160,4625932,4625933,7325032,11049674,15926505,22027410,17713146,17713147,16777653,16777654,23017990,24540173,24540189,18106396,18106397,24540191,32117801,40891679,51029198,62655221,52545320,44604414,44604413,55453158,47645502,37723478,37723477,47645500,49279292,39352637,39352636,49279291,59044367,49279288,47642776,37720705,37720703,254230842,254230840,37720870,29161063,29161064,29164605,29163637,21854954,15783534,15783286,10934123,7234552,4560634,4560633,7233832,4560662,4560663,7234607,10934213,7234650,7234652,10934265,15783365,15783366,21852887,21852888,17144941,17144940,267827428,30878633,23448056,23448055,30878631,254751916,23924919,255058646,31414528,23924907,17583794,17583795,255058644,255866306,47645395,50115237,58615694,47644151,47644150,49414002,58163100,55684430,55684429,61594905,58163099,49189937,256055218,40094407,31414634,23924995,17583855,255570037,16018975,16018976,22134989,23925045,17583886,12411363,8388393,5412961,3327346,3327347,5412965,8388403,255180181,23925073,31414730,40094505,39496919,31415053,23925327,17584049,12411452,254596785,5412993,8388461,12411498,17584132,23925477,31415274,36450144,36450143,46303112,47278860,37605306,29056596,29056597,37605307,31415092,23925358,17584063,17584065,23925361,31415096,40094906,37369245,37369244,37369249,28829214,21558353,254739028,15096470,15096469,15535527,21555983,28826874,28829540,21558595,21558594,28212383,28829706,26889440,20008620,14329587,9843687,254467723,2424260,2424259,4050788,6465120,9843684,14329580,20008611,26889431,26889415,26889416,257301207,269824844,46662896,269501944,74555065,61771514,61771513,74555064,88169948,99420669,113422414,127281229,263883875,206739932,264223008,264130756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9808305, s2 = 10989999, dlinesl.size( ) = 2 s1 = 9808305, s2 = 10989999, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9808305, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 88176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7808595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023792, s2 = 8259839, int(edited[s2]) = 0 s1 = 11023792, s2 = 8259839, d1 = 22, d2 = 33 Dl.O(d1) = 21172836,15213855,12317065,8319709,5368540,3300460,3300457 Dl.O(d2) = 16672747,22904026,30303048,38889204,30857478,23426013,17148327,17148328,23426014,30857480,39399776,39399778,39399779,39399769,30796702,30796701,256188472,24039594,24039595,30891297,30872913,29484278,22146025,16027143,16027142,16026996,11127830,7380849,7380848,11127827,16026990,22145720,27111658,27111659,35201531,40232498,40232499,40448518,40233835,40233836,50253320,61731853,61731211,50252429,40232513,40232514,49102667,39172389,30574609,23157322,23157321,24044499,31548002,31547515,31544693,24041322,24041323,31544695,40230999,40232658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023792, s2 = 8259839, dlinesl.size( ) = 2 s1 = 11023792, s2 = 8259839, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11023792, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 14024884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7936920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 691743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13216315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13216315, s2 = 13168782, int(edited[s2]) = 0 s1 = 13216315, s2 = 13168782, d1 = 30, d2 = 19 Dl.O(d1) = 254349742,926236,522071,292718,161908,161911,292730,522253,926542,1629458,2808726,2808256,2808257,4660421,4660422,2808625,1629344,926473,522201,522200,926441,926443,1629275,2808511,4387431,6982833,10585267,11122533,7377332,4660704,2808287,2808288,4661404,7376628,4660259,4660260,7376633,7377692,7377690,11120928,11332876,11332879,11124078,7378378,5469829,3364446,1978584,1978581,3364440,4662065,7379479,11125752 Dl.O(d2) = 1896132,1082257,1082262,1896145,3232747,3223593,3223595,1921890,1097931,616304,616305,1097602,1921369,3268165,5293715,3244899,3244900,3264466,3264465,5256388,5293258,3244515,1904251,1087102,1087104,1904256,3219163,3259963,3259961,4961728,4961762,3239407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13216315, s2 = 13168782, dlinesl.size( ) = 2 s1 = 13216315, s2 = 13168782, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13216315, Dl.E( ) = 66, 2.5e-05 seconds used appending s1 = 7813341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8076932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8076932, s2 = 522030, int(edited[s2]) = 0 s1 = 8076932, s2 = 522030, d1 = 26, d2 = 42 Dl.O(d1) = 256513238,255557680,267996754,47446373,39171971,30574213,254589316,11991511,11991512,14165114,9738405,9738406,14165116,19776288,255531909,11992217,11992218 Dl.O(d2) = 1977905,3363706,3192533,1868553,1868552,267840793,5471046,3365749,1979893,1979891,3365745,5471041,5468203,3362822,1977232,1128730,1128733,1977237,1979525,3192491,5231148,8160473,8160529,5231224,254389921,254389923,3192465,5231114,3192557,1868570,1868569,1868447,1065823,1065820,1868443,3192342,5230978,8160322,8160543,8160446,8160136,8160133,5231104,3192453,1868673,1065948,1065951,1868687,1130757,634143,634142,1130751,1980116,3192317,3192297,1868417,1065807,1065808,1868420,3192303,3366233,3366234,5471503,5468316,5468314,8462531,8160237,8160236,9273723,12128816,8462581,5468343,5468342,268001425,12128954,17246956,12128905,12128904,17246954,23555980,17667679,17667682,12499466,12493644,8462200,8462201,12493648,12497745,17247414,17247057,12129023,12129024,17247041,12129005,12129004,12498294,8466090,8466091,12498296,17673989,24017109,17668532,17668533,24017111,31518619,31038041,31038040,39715550,39716010,40204969,40203987,31517307,31517308,257082925,31521097,39715535,39715536,31524974,31524975,256498153,257044584,23556054,24015956,24023386,17673541,17673540,24023367,24023368,31525314,29492571,29492570,31037980,31524866,35166001,27078268,20181377,16033275,16033277,22153428,29492499,38056585,31528685,31525333,31525332,39716001,38532646,38532648,31518625,31518623,27078284,24025995,17675558,12499460,12499461,17667524,23556023,23556022,21160773,21160774,23556431,17247341,12499303,12499304,17675332,17667620,17247358,12129348,12129349,17247527,12493541,12493544,17667720,12498015,8465928,8465927,12498008,17673533,22153518,22153517,23556637,23556638,22153469,16033297,11132710,7384450,7384449,11132707,16033289,17673567,12498022,12498018,17673557,17675933,24026429,24016148,24016149,27078292,20181392,20181393,24023805,27078261,24026445,24026444,31038507,27078321,20244267,20181448,14479604,9962507,6547650,6547648,8461986,8461983,12493470,12495621,17670413,17673599,24015960,24015959,24015864,17673521,12498002,12498003,17673526,20181356,14479560,11132719,11132718,16033310,17673580,12498027,254603417,3366573,3366574,5471818,8465935,12498034,17673601,17673983,17673984,24023976,29492585,22153527,16033413,11132779,7384482,4665314,4665313,7384479,11132770,16033398,22153612,29492699,27156195,27156197,24016016,24016015,20244313,14526488,9995199,6568927,4115052,4115053,6568929,9995206,10695858,7066167,7066166,10695851,15468511,21470667,27156073,31525370,28727756,28727755,35255250,40203923,31517222,31517219,40203916,38056728,38056727,35255055,27156051,27156050,24016171,20244357,20244356,20244349,20244351,27155998,31517800,24016326,17667966,17667967,22153554,22153555,29492614,31517519,31507437,24007954,17661859,17661848,12489538,12489539,17661900,20244459,14526568,9995248,6568949,6568947,9995232,9995267,9995268,12498176,8466020,8466021,12498182,12494675,12494676,17669148,24017766,24008027,17667958,12493738,12493737,17667952,17919216,24302707,31517329,24015934,24015931,31517324,31517577,31517578,27156038,27156040,24016183,17667875,12493692,12493693,17667880,17667976,24016343,31517697,31507465,24007974,17661872,12489524,8459269,5465843,5465844,8459276,12489544,17661912,24008037,20244445,20244446,27156125,20244508,14526605,12498237,8466042,8466041,12498230,17673884,24023851,31525810,38932693,31507542,24008031,24008032,24016279,24016278,17673764,17673763,24023642,31519314,40205599,40211473,40211474,50232327,40212935,35255170,27156104,27156103,35255163,40204184,40204183,31517814,31517813,31517817,31507477,31507478,31525813,40193097,31507503,24007997,17661881,12489531,12489534,17661889,24008008,31507513,40193110,35255191,35255192,35255261,27156200,27156201,24023843,17673878,17673877,24023839,31525779,31526966,40211700,31527251,31507535,31507533,31517726,31517728,35255147,35255148,31526539,24024760,24024757,31526532,31526547,32817479,32817478,41738449,35255155,35255154,40193041,31507455,24007966,17670092,17670093,24018891,31507471,31507473,40193064,44639714,40193090,31507495,24007992,24007985,17675070,12499124,12499122,17675065,17675086,17675085,24025385,31527512,40193080,44639731,40211666,40211667,31526977,24025042,17674906,12499039,12499040,17674914,17674994,24025219,31527253,24025240,24025239,24024944,17674858,17674859,24024951,31526837,24025093,24025091,17674986,12499080,8466733,5472576,3367317,1981174,1981175,3367323,5472593,8466767,12499167,12498990,12498989,17674808,24024841,31526615,31527088,40212294,40212293,31527156,24025164,21829229,15761169,15761170,21829216,21829215,29136506,31517527,31517529,40204163,31526718,24024885,24024884,24025077,24025078,31527031,37974830,37974831,47892658,50233133,40212569,31526801,24024935,24024936,17674954,17674952,24025103,24025105,24025184,17674974,12499073,8466728,8466705,5472565,5472566,8466712,8466758,12499142,17675102,24025410,24025398,24025396,31526762,31526764,40212513,40212946,40212947,40212894,37697243,29136518,21829220,21829219,29136512,37697233,47620449,40212382,31526677,24024858,24024859,31526681,31526720,40212446,47620478,50233367,50233592,50233206,50233205,59486842,50233178,40213271,31527397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96,5985466,9146451,13381170,12664663,12664665,13321638,18714911,25285552,25285551,25371264,28121303,28121325,29590206,22241959,16105704,16105705,22241964,25287978,18715045,13321725,13321724,18712505,13319124,9099321,5953459,5953458,9099317,13319112,18712446,13319084,13319021,9099263,5953425,5953423,9099256,13319008,18712339,24036443,17684955,17684956,24036447,23150739,16889986,13381141,9146436,5985455,3742691,3742690,5985451,9146426,13381128,13321648,9101666,5955277,5955278,5955268,5955266,9101640,255251637,18712488,18712487,25285377,25269315,18697461,13304443,13304444,255251669,9101828,254440977,3724313,5953488,9099359,13319177,13312740,13312739,18696377,13303318,9084941,5942370,3715763,3715762,3724279,5955311,9101715,9099235,254913625,18712305,18712359,18712360,18697426,13304406,9086032,5943255,254643039,13304413,255647211,18668557,21912067,18712624,13319238,12325345,8325768,8325769,9080471,10354376,15026533,13319321,9099476,9099475,13319317,17288854,13298683,13298686,13315695,9096338,5951180,5951178,9086073,7422831,7422830,11187014,13298755,9086094,9086093,13304490,18697500,13304485,13304486,18697502,25269355,32993449,37250653,30916192,28208711,21015749,15094041,15094040,13993270,9613030,6314180,6314181,9086051,5943273,5943272,7261193,10970042,13315564,9096273,9096272,13315558,9096348,8131779,5209868,5209866,8131771,12091964,17196108,17196305,13315570,9096318,5951160,3721605,2228397,2228399,3721612,5951171,9096328,13315677,15462936,21463586,24049797,23479093,21912104,15829864,15042634,15042633,20951411,28129309,33006333,255853976,23479036,255853962,39526739,41952621,33010366,33010367,41952623,256888632,30916132,25281491,25281492,33006302,33006290,25281482,25281483,30877053,30877054,28043644,28043642,33006268,30916184,30916182,25349007,25263368,25263367,32986659,40214278,40214258,40214259,41948343,33006144,25281289,25281288,33006138,41948338,47940912,38027298,38027299,47940916,49080666,39150571,39150573,30915993,23478905,17196151,12091995,12091996,17196155,23478912,23446752,23446754,30877011,39482313,41926958,39526593,39526592,39526578,30915964,30915965,39526586,39482379,30877069,23446790,17171371,12073547,12073549,17171379,23446805,30877097,39482414,41926970,32986656,25281470,25281471,24025981,24025980,31528305,40214273,50234526,46330180,36474752,36474754,30903971,30903950,30903949,33006096,33006095,41948320,47427883,39526706,38026893,30048677,23446772,23446771,30877039,30876987,23446741,17171352,17171354,23446748,30876999,34573683,26586866,26586865,31040286,39717649,49460314,49460315,49412130,39482357,30877048,23446779,23446778,23446795,30877079,39482397,38027051,38027052,47940728,40214297,31528318,24025985,24025986,31528324,40214264,50234515,49316422,49316420,39512097,30903978,23469489,17188907,17188906,23469483,30903963,39512075,47064488,39511904,30903842,23469403,17188871,17188870,23469392,30903814,31040281,23558181,17248847,17248845,23558175,31040274,34573681,34573679,39717644,47292229,47382903,47382904,48576174,49412125,39511952,30903880,30903879,39511948,36523358,28057995,28057993,29464969,38027060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8076932, s2 = 522030, dlinesl.size( ) = 22 s1 = 14211029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14211029, s2 = 15318907, int(edited[s2]) = 0 s1 = 14211029, s2 = 15318907, d1 = 32, d2 = 92 Dl.O(d1) = 226001669 Dl.O(d2) = 228282244,226447762,224341393,221915084,219088163,263130906,206737442,200741277,193634929,185343055,175838152,165113540,270831682,140620045,127274228,113415757,256911562,85473648,71889325,59151628,47753059,47753060,48861483,60254270,268218226,85594481,72007536,59271744,47876272,37958291,29393697,22063304,15958787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211029, s2 = 15318907, dlinesl.size( ) = 2 s1 = 14211029, s2 = 15318907, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14211029, Dl.E( ) = 118, 3.5e-05 seconds used appending s1 = 10350465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350465, s2 = 9486515, int(edited[s2]) = 0 s1 = 10350465, s2 = 9486515, d1 = 73, d2 = 30 Dl.O(d1) = 55744859,254647608,50331930,50287053,50287052,61766887,61766917,50451100,50451101,61766923,50287092,50287091,44836747,44836746,257670817,74550825,258919370,68142506,68013933,257540606,44728760,55626753,60504831,49100596,49100597,58303959,261476945,25912340,25912341,28674058,21426272,17924760,12700397,12700396,17924758,24309337,31826579,35152005,35152004,38171720,48084106,59474443,72212031,85805602,84840593,71266489,58587264,47195923,37287551,37287553,42084695,42288530,40810246,40810245,257706805,75455736,89207834,102094652,88108009 Dl.O(d2) = 97736979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350465, s2 = 9486515, dlinesl.size( ) = 8 s1 = 11021938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7808753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7808753, s2 = 11494172, int(edited[s2]) = 0 s1 = 7808753, s2 = 11494172, d1 = 2, d2 = 1 Dl.O(d1) = 209626112,214065872,212758694,207988307,202202628,202202629,207988308,212758693,207988305,202202626,195321102,195321101,187274306,178031058,167563935,155952664,272609711,130086063,271867925,102121047,88133331,74521192,61739358,50260839,40241394,31555265,24050928,17697161,12516877,8479685,5481203,5481204,8479687,8480109,8479895,5481371,3372997,1984858,254136683,353218,353219,636149,1133861,1984869,3373016,5481373,8479804,5481303,5481302,8479803,8479957,5481418,3373031,3373030,5481415,5481325,5481326,3373099,2297904,2297903,3835616,3372955,1984835,1984834,3372950,5481278,8479768,5481398,3373019,3373020,5481400,8479814,268001903,12516948,8480092,5481499,3373083,3373082,1984912,1133895,636164,353226,193584,105717,105716,193581,254106583,1133874,1984887,3373049,3372968,1984842,1984841,1984807,1984806,3372895,3372925,1984824,1133837,636128,636127,1133835,1984818,1984925,3373112,5481263,5481264,5481275,3373109,3373108,2289237,254303283,5481497,5481495,6130752,6130751,8480100,5481506,3373089,1984908,1133883,636158,636159,1133888,1984854,1133854,636140,353211,353210,636138,1133850,1984849,1984885,1984886,3373046,5481255,5481243,3372962,3372906,1984811,1133840,636129,353206,193574,193575,353208,267755957,1984832,3372940,5481268,8479753,254658737,6106779,8479784,5481291,3372956,3372957,5481260,8479743,8479826,8479825,12517020,17697313,12517010,12517009,17697292,12516990,8479796,5481296,267913065,3372935,1984828,1984827,3372932,5481253,5481513,3373115,3373116,5481266,8479748,12516955,8479790,5481294,5481295,8479794,12516986,12517230,8480122,5481520,3373103,3373104,5481525,8479869,8479868,254864411,254864413,12517420,12341514,12341515,254604417,5481544,8480157,12517431,17697814,24051113,23843739,19070870,254933533,6106782,6106783,9322634,13614898,12517065,8479864,8479865,12517072,254864419,8479820,12517014,17697232,17697230,24051017,31335524,23843474,17502535,12341394,12341395,17502541,12341611,12341488,12341491,17502673,23843657,23843649,17502667,17502666,12341643,8337850,5381561,3309264,1946811,1946810,3309261,5381550,8337832,12341610,17502831,23843812,256016129,23843570,31335603,23843841,23843840,30637453,30637454,39235402,40014060,31335723,31335537,31335536,23843700,17502725,12341532,8337780,5381524,5381525,5381479,5381480,3309275,1946816,1112140,624086,346836,346835,624084,1112135,1946803,3309241,5381514,8337758,5381546,5381547,8337828,12341604,17502821,23843753,23843775,17502796,12341589,8337815,8337814,12341586,12341758,12341757,17503015,23844026,23843575,23843574,23843855,17502855,12341621,8337841,8337842,12341624,17502787,23843760,17502884,12341655,8337858,8337857,8337881,8337811,5381539,5381537,8337805,12341430,8337724,5381489,5381488,8337720,12341421,8337742,5381505,5381504,8337740,12341442,8337730,5381495,3309230,3309229,5381493,254850121,255564397,23843568,23843567,30638483,30638196,23215060,16943047,16943048,17502591,23843545,17502950,12341700,12341699,17502948,23843953,255576210,23215216,30638335,31335572,31335573,36863294,36863295,30638480,23215392,23215391,30638479,30638353,30638351,39236416,30638369,23215242,16943180,11858088,7924964,7924965,11858093,16943186,17502902,17502903,23215065,30638055,30638057,23215366,16943283,11858185,11858187,16943305,20870260,14967867,10299983,10299984,11858168,7925015,7925014,11858164,16943269,23215074,16943387,16943386,21656554,21656555,23215356,23215357,16943309,11858193,11858192,11858143,11858142,16943240,23215323,30637440,30637441,30638242,23215456,268423975,23215295,23215296,30637510,23214921,16942892,11857897,11857898,16942893,255969669,30638496,30638437,23215328,23215330,23215196,16943149,11858068,11858067,268100369,255138033,11857738,7924733,7924732,10440630,7925264,7925265,11858512,11858555,11858147,11858145,11858004 Dl.O(d2) = 7924917,11858007,16942418,16942391,11857538,7924591,7924589,7924404,7924405,11857277,11857581,7924620,5037724,254815939,5037685,3049983,3049981,5037590,3049922,1776777,1012984,570995,570996,1012986,1776781,3049930,5037606,7924537,11857446,255121516,24050927,257085967,40241392,257668937,61739357,74521190,88133329,102121046,116178518,130086062,143414123,155952663,167563933,178031056,264293875,264822221,265047963,222621534,224964240,226998971,228773554,230336541,231725715,232973789,234103643,235131708,236066428,236916646,266686499,239033801,239623253,240168821,240673589,241141252,241574145,241975001,242345567,242689689,242977164,242653149,242305873,241931026,241525194,241086838,240614514,240104966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7808753, s2 = 11494172, dlinesl.size( ) = 2 s1 = 7808753, s2 = 11494172, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7808753, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 9807035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 215318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7830247, s2 = 11278192, int(edited[s2]) = 0 s1 = 7830247, s2 = 11278192, d1 = 128, d2 = 83 Dl.O(d1) = 3245630,1905052,1087593,1087594,254265375,1874035,1874034,3200874,1919284,1919283,3265342,5316197,254840385,8225172,8225171,5295547,5295546,8202285,8195230,8195229,8199751,8195618,5265643,3220505,1887296,1076791,604810,336658,185028,185029,336661,604818,1076804,254581569,5250466,4612990,2777672,1611407,1611406,254347327,7308973,7317379,8182026,5251762,5251763,7826833,4967975,267898301,5257548,8186760,254835611,7317403,4619380,2781515,1613459,1613460,2781518,4619386,7317185,4624459,2784894,2784895,4624466,3185072,1863944,1063411,597753,333139,183361,100504,100503,183357,333125,597725,1063363,1863837,2999258,2780661,2780660,4617926,7315502,7322168,4623347,4623348,7321237,10024966,254835156,12177841,8209500,5280368,5280367,8209496,7823353,5219326,5219325,7824016,7824015,7823311,5305863,5305864,5244883,3203399,1875792,1070088,601346,254088733,184204,334940,601343,1070077,1875768,3203338,5244778,8175209,11036982,8236325,5308662,3258859,3258860,5308658,5307687,3257816,3257818,4461334,3242886,1903034,1903031,1903017,1903021,3242861,5291554,4749794,4749797,3203259,1875743,1875742,1105994,620568,620571,344868,344869,345201,621196,621960,621051,345119,345118,621044,1100549,617722,343333,343332,189166,103304,103301,189156,344920,345234,344972,189184,103313,103314,189192,343878,618794,1102619,1929843,1105949,1105950,1935703,1935726,1105631,1105629,1935721,1936193,1936192,3292288,3407678,3292880,1936590,1106164,620673,344900,189146,103295,56822,56820,103286,103395,103396,189333,345219,621236,1105187,1106793,1106794,1107102,1100538,1100540,1926102,1106236,1106237,1936679,3293010,2006637,1147217,643616,643615,1147211,1174776,659487,254139559,267803103,3444791,3295576,3295575,3036062,267768507,567534,567538,1007044,1767272,3036097,3293299,1936869,1106336,1106337,1936872,3293302,2023204,2023206,2023343,3297824,1939568,1939569,2021101,1998978,1998979,3391906,3391921,3426164,2024507,2024505,1938047,1107013,621168,346012,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2030692,1989343,1175883,1175882,2041893,3380385,3380387,2038505,2038508,2001478,1165338,1165339,2001471,1990718,1764168,1764170,1106725,621009,621007,567935,567938,1007652,649975,649972,1158465,1989639,2024252,2024281,2016147,2016146,2059605,3440705,2036125,2036127,1769779,1008607,568457,318388,318387,568455,1008603,739626,420417,237296,130990,71064,38461,38463,71070,131004,237326,420473,363942,363940,656464,1169719,2029256,3431627,5545899,5525449,3411929,2013609,1151692,1151693,2013614,3411938,5516202,3407581,2010251,2010254,2010272,1149550,1149549,2010300,3407638,3451149,2044584,1172200,657963,657960,1172190,1157843,1157844,1936496,1109292,622544,345991,345990,622536,1109271,1941924,3301788 Dl.O(d2) = 88327795,102323646,116416362,130253542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7830247, s2 = 11278192, dlinesl.size( ) = 8 s1 = 6438433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10985558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 229651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7884382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9796525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 506668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 150503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15065765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15065765, s2 = 14065760, int(edited[s2]) = 0 s1 = 15065765, s2 = 14065760, d1 = 1, d2 = 1 Dl.O(d1) = 152352,152301,152295,275527,490309,869349,1532245,267824507,7024411,10640174,15395421,21377113,28612654,37123508,47010454,58381532,71098051,84660899,71098037,58381524,47010451,258673789,71098049,71098050,84660918,98584384,260160818,105891164,120102735,133944669,139819919,126447066,112578316,112578317,105891159,105891160,260160822,105891183,91684163,77757083,64574464,64574466,77757087,77757094,64574469,52674319,256557552,25546436,18933766,18933765,25546433,33308004,42288057,52674295,64574431,77757024,91684071,271548305,133944483,120102489,105890944,260283917,105891032,105891034,120102468,133944471,133944654,133944685,128756567,114858461,114858462,128756570,142113039,128756511,114858403,114858404,100806821,100806822,114858421,128756530,133944465,147167044,154748728,147167052,142113087,142113085,147167124,142113097,128756587,128756583,128756496,114858395,100806803,100806804,258819869,60466222,49062886,49062887,60466224,60540314,268969803,257014137,60466213,49062876,256469243,23194488,16926953,254815369,254815371,254737709,15513229,11847844,7918636,7918637,7919621,5035116,3048676,1776134,1012646,570811,570812,1012649,1776138,254376117,7919623,255137135,11846612,254815347,5033801,7917759,11846614,16848997,15512949,11785072,11775245,7861792,4989944,4989943,7861790,11775243,11782102,255131251,7866678,4993428,254372581,997399,254172993,562128,314802,314801,562126,997938,1752793,1753787,997905,562108,561176,314246,314245,561175,996587,254128082,314551,314550,314584,561772,996326,996329,995881,560698,313938,173617,95520,95522,173624,313945,560708,505733,283476,156519,95733,95732,174090,314787,562096,997888,1753762,3017890,4994984,7863154,11777089,16840576,11776803,7862926,4990696,4990697,7862930,11776809,268239967,30511800,23099763,255515899,16841048,23096690,23096552,16840844,11782303,7866755,254810827,16848073,23106060,23869952,23869953,30523707,23106190,255132063,11782447,16848227,16840984,16840985,255131475,7863019,5355184,5355185,254845891,254590555,5355182,8300978,255558301,30612035,23192342,23192343,30612036,39208188,39121933,30523720,30019928,22647377,22647376,30019927,30612022,30612021,29782190,22416615,22416618,16251396,16251395,22416672,29782252,22416643,22416642,29782251,29782388,23028595,16786044,11736676,7835853,7835854,11736678,16786046,11782843,7867145,4993759,3017918,254173057,997902,1753781,3017914,2857652,1658492,254239061,4741665,7501247,11298412,16251345,16848734,255516673,29782234,256950517,257642975,39925545,31249868,255911173,22416681,29782286,30435295,28971941,28971943,29782216,29782215,37258293,256870571,28971929,28971928,255471403,11298565,7501329,7501328,254778277,7501214,7868764,11784846,16851200,23109629,29782079,22416497,22416498,28789633,21525521,21525520,28789629,37326032,37326037,28789636,21525524,21525525,16251245,16251244,16837634,11784584,11784585,16850834,23109157,30527018,39125298,49055370,60459110,258024384,49055336,49055337,60459091,73206051,60459099,258025300,86818776,100799880,112814852,99940269,256836036,70769697,58056774,46682464,39125300,30527019,30527020,28316541,28316504,21106369,15161160,268201853,21106392,268606373,23109332,16850969,16850970,23109334,30527239,39125526,41147484,49055372,255684436,39217707,39217708,41147527,41147528,41147628,32332517,255622449,12940697,8803728,5734686,5734685,8803720,5734678,3570783,3570784,5734680,8803721,12940689,12849528,12849526,8765647,5707632,3551859,2115377,2115376,3551857,5707630,5734975,3571029,3571028,5734973,5776169,3598856,3598857,5672737,3528505,2099985,1209094,683068,380581,380585,378875,378876,214976,117842,64464,64465,64463,64465,64463,64465,64463,64465,64479,64481,64141,64145,65951,65949,121168,220536,395307,702393,1238547,2144091,254143643,702391,1200979,2088521,3512614,5650043,8682857,12774190,18023352,24438520,23192278,16925278,11845806,7917190,7917189,11845805,268100111,7918024,5033966,5033965,5034450,5034860,3048490,3047869,3047870,3047458,1775335,1775336,3047461,5033370,7917145,7917166,7917228,7917227,7917173,5033386,5033373,3047510,1775373,1012245,1012246,1775376,3047516,3017057,3017056,3047490,1775354,1012233,1012229,1775349,1775793,1775794,3048158,5034383,3048422,1775953,1775954,254251943,1012480,570722,570721,1012475,254251941,2681312,2681314,4463077,7088504,4463365,4463366,4463385,4463329,2681483,2681482,1775899,1775898,3048317,4995041,3017932,1753798,997914,997915,1752796,1753725,997859,997857,1753719,1752115,996590,562078,562077,562041,314749,254102221,997816,997809,562033,314743,314248,314247,561179,996592,1752117,254372153,1750709,995554,995553,1750707,1751235,3014620,4990665,7862876,254810347,4990655,4990654,7862859,11776733,254556853,254249101,995919,560720,313952,267745083,995913,1751236,3014622,4990668,7862882,11776762,16840518,21791531,15733193,15733194,21791535,29089415,31365406,40045662,39325981,33858981,26037656,19359875,19359874,26037652,21791553,15733203,15733204,12360301,8351409,8351410,12360308,17526408,23870884,31047739,39175584,30577911,23430574,17897104,12677414,12677416,17897092,256047775,39108936,39108785,39108784,256461683,23096227,16840554,11776785,7862903,4990680,4990679,7862901,11776781,16840548,23096224,23115828,23096221,16840546,16840545,23096220,30511777,39108917,49038719,39108877,30511751,23096207,23096208,30511755,39108883,39108891,39108890,257006095,30511743,23096199,16840535,11776773,11776772,7862900,7862899,11776777,16840543,23096216,30511774,257006105,60442618,60442584,49038708,39108871,39108873,49038713,50843471,50843472,62427237,75326994,86801324,100782077,114834109,128733926,114834104,100782069,86801316,269837651,257006099,30511746,23096202,23096203,268656983,49038702,52108774,52108776,50843489,40737592,256058743,24433577,31988720,40737596,50843496,60442565,60442566,258223133,49414192,39484401,39484400,257615601,73560708,87178457,101175480,115252009,129142530,115211106,256426016,257549960,115251996,129182013,257549958,258782820,154167183,271815826,114255975,114255974,128142116,260625998,270335218,257549946,73211989,268954308,95162782,95162785,109419119,123613362,256969172,115211108,101133541,99981321,86020730,86020731,99981319,90921621,77041005,77041004,90921619,255486456,87135340,268645138,77040988,77040989,90921595,105102144,109395892,95141801,81084306,67618620,258528277,95141806,260397959,101086673,259795242,101086665,114834122,100782096,86801345,73189329,60442636,60442635,73189326,259442153,114834120,128733945,142092231,154730090,166439989,262045478,159233677,146860575,146860576,261233924,261695471,165118377,175842046,185346270,176041746,170571056,261561930,133603779,119729980,119729979,133603776,261511878,142470659,140552781,127206922,113348433,99345881,259962401,111713015,99647738,99647739,99647703,271331511,99647745,258742299,47989471,38076652,38076654,30625587,30625588,30625571,30625570,29512173,29512171,30625583,23203137,23203138,30625585,255968969,23203135,30625579,39223340,49149916,60549286,59379709,49149914,257595335,67646271,81112571,67646269,67646270,73292425,85698683,72112443,60377152,48980284,39057669,257002623,60377156,258118056,60548490,60548491,257457744,39222443,42574685,42574684,53014951,64990035,53014946,42574679,42574680,49149962,39223372,30625609,30625611,30625592,23203142,16933181,16933180,23203119,30625547,39223309,49149872,39414608,30809393,23380965,23380966,30809396,39414612,49344250,60747364,73496246,74086373,87693458,259450340,60863383,49460277,39526535,30915899,256470063,23202336,16932571,11850829,11850828,16932568,23202335,30624681,39222444,38755777,33558007,25768661,19128873,13658194,268086458,25768662,26092649,30207326,23053411,16807359,16807360,23053415,30461314,36856984,36856985,28408300,21186999,15224737,10501866,6924857,4350300,2605376,2605375,4350298,6924855,10501861,10502633,6925347,4350564,2605521,2605520,4350562,6925350,10502638,15225875,21188462,28409892,36907224,46784886,58152435,70866475,58152414,58152413,70866471,84423874,257164768 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15065765, s2 = 14065760, dlinesl.size( ) = 2 s1 = 15065765, s2 = 14065760, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15065765, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 6452338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6452338, s2 = 10136202, int(edited[s2]) = 0 s1 = 6452338, s2 = 10136202, d1 = 67, d2 = 92 Dl.O(d1) = 254631089 Dl.O(d2) = 8834025,12977630 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008546, s2 = 8095213, int(edited[s2]) = 0 s1 = 11008546, s2 = 8095213, d1 = 37, d2 = 33 Dl.O(d1) = 8686374,5652755,3514704,2090144,1202179,1202180,2090145,2123572,1224904,1224905,1218774,688370,384233,384231,688351,1218724,2114993,254428905,8764266,12886037,12886034,8764265,8764266,9490921,254456969,2333400,1352391,771426,438262,247302,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,771055,1343126,1343128,2315614,3865485,3865322,3865324,6177226,8683401,8683399,9490774,8677483,5645930,3509555,3509556,5645934,5783772,8849694,8849697,12752138,8839454,5791398,5763390,3589790,2140222,2140220,3589780,3564852,3564853,3564933,3564936,5651039,3533123,2102749,1210712,682799 Dl.O(d2) = 32004420,24445008,256059517,40759667,32010634,32010633,256059857,18033028,256059859,32010616,32010618,33842682,26022889,26022888,32010620,24450312,24450313,32010621,257118965,50874637,257118543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008546, s2 = 8095213, dlinesl.size( ) = 2 s1 = 11008546, s2 = 8095213, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11008546, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 10163269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 981585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7899150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7899150, s2 = 10344697, int(edited[s2]) = 0 s1 = 7899150, s2 = 10344697, d1 = 6, d2 = 12 Dl.O(d1) = 255513826,25137875,18583440,13205965,9003443,5877857,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854 Dl.O(d2) = 10959035,8514493,5512969,3400207,3400203,5512951,8514455,10626009,15377197,21353756,23189735,22887270,16658517,11626040,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693694,14093831,19662216,26396387,255100990,255100988,19651268,19651250,14085471,14085472,19651259,19651037,19651034,16649213,11617217,7736562,7736561,11617213,11445849,7611860,4815733,4815731,7611850,11445827,16430690,12031508,12031506,12028531,8089200,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,8859110,268023434,16499426,11496191,7646516,4837787,2915276,267767055,961700,1691168,2915265,4837761,4857231,7676225,11538173,255493427,256977155,255934323,16542846,16542844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7899150, s2 = 10344697, dlinesl.size( ) = 2 s1 = 7899150, s2 = 10344697, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7899150, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 14161411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161411, s2 = 10340975, int(edited[s2]) = 0 s1 = 14161411, s2 = 10340975, d1 = 13, d2 = 11 Dl.O(d1) = 35187419,37772299,31557883,31557884,31633972,38374735,29803564,23292165,23292161,21229816,21229819,28456243,36956679,46834957,38152881,38152880,38835175,30251470,22856697,22856696,30251468,256831517,28243798,21044568,15116106,15116105,21044565,28243793,36739014,39727407,49746650,55483622,44633492,35249015,27150548,20239946,14523420,14523421,20239947,27150550,27145777,20236901,14521460,9991981,9991982,9993246,14523485,14516808,9988996,9988995,14516806,20230145,20236874,14521442,9991970,6566995,4113909,2460734,2460733,4113905,6566987,9991956,14521423,16710248,20236851,20236850,27146073,30343435,30343436,35243084,27145938,20236737,20236735,27145936,22941049,16705432,11665344,11665345,16705435,16708576,11667818,7777919,4929355,4929356,7777923,11667820,16703942,11663847,11663846,16703940,22939500,22938369,22938370,22937738,22937739,30338769,30343430,22946192,16709941,11669003,7778838,4930007,2973769,1725753,1725754,2973772,4930008,7778840,11669007,11243958,11243957,16174814,11242236,7462184,7462185,11241704,11241705,16174246,16174415,16174414,22319261,16772462,16772461,22321539,255044698,11727478,11727477,11242854,11242852,16175621,22320725,29672020,30417521,23012385,16772650,11726361,7828498,4969160,4969161,7828500,11726365,16772654,16773227,16177047,11243997,11243996,11015011,7291839,5879330,3670503,3670508,5879337,9006598,9006554,9006553,13212716,18593048,25149607,25149611,25151025,18594082,18594083,25149771,18593165,13212820,13212815,13212816,13213548,9007165,5879734,5879733,9007160,13213206,13213205,13212936,13212888,13212887,13212692,13212693,18593026,13213202,9006898,9006897,13213197,18592723,18592724,18593029,13212699,9006544,5879296,3670481,3670476,3670477,2196977,1276355,730171,730172,1276360,2196990,3670526,5879368,5879485,9006812,13213073,14337373,18592992,13213246,13213248,13213530,13213531,18593174,13212826,9006627,5879349,5879348,9006622,5879737,3670733,3670734,5879742,9006676,5879424,5879425,5879630,3670675,3670677,5879637,9006652,9006651,9007134,5879709,5879708,9007110,5879686,3670699,3670701,5879300,3670486,2196971,1276351,1276352,1276368,730175,415868,235087,235088,415871,730185,1276393,2197039,3670607,5879493,9006519,9006517,13212666,13213538,9007157,9007158,13212807,9006632,5879358,3670517,3670516,5879354,3670739,2197105,1276421,1276420,2197100,3670727,5879579,9006914,5879641,5879640,9007047,13213378,9007143,5879716,3670714,2197093,2197094,3670718,5879416,3670558,2197010,2197009,2196965,1276346,1276345,2196959,3670469,3670442,2196945,1276375,1276376,1276387,2197028,3670586,5879456,9006760,9007011,9007010,13212650,13212651,9007151,9007152,9007068,5879658,3670689,2197081,1276414,1276415,2197058,1276402,730191,730192,1276407,2197067,3670658,5879586,9006963,6570881,6570882,9998168,255339265,5879548,5879547,9006922,9006941,9006940,13145636,9006969,9006968,13213278,13213386,11650203,7762192,7762193,11650208,16688946,18593337,18593336,18593534,13213076,9006985,9006986 Dl.O(d2) = 7774470,4926723,2971487,1724297,254127111,170902,94087,94088,170903,308940,551959,980249,980547,552126,552125,980546,1724773,2972190,2973188,4929106,7777511,255124013,15047168,15047169,11659002,7777465,7777466,11667184,16707725,22943703,255370423,10373979,10373720,6835303,4288760,4288759,254713807,15046547,11664254,11664253,16704340,22939877,254687328,34979214,34979213,44356753,47901775,42704010,35027991,26947251,20237525,14521856,14521855,20237524,22094633,20051834,14366302,9872736,9872735,14366300,18240446,20045843,14360302,14360304,20045846,23033779,16790259,11739887,11739889,16790264,23033785,23033946,16790379,16790378,12694129,8623637,5606837,5606835,8623631,254688200,12528519,17710974,14126602,9718796,9718795,14126599,19701983,26441165,31573218,24067489,24067488,17770657,12575808,8529189,8529190,12575812,8532668,5530825,4012324,2404622,1397538,795246,795247,798908,452831,255253,255252,452829,452908,452906,799063,1391678,791394,448173,448174,791399,1391684,798525,798526,1403111,1403109,2425609,4052818,6467543,4052387,4052386,2426278,2426279,4053810,4052805,4052806,4053832,2426300,1403536,1403534,2426296,4053824,6469498,9849759,14337695,9850872,9850871,9850798,6470471,4054731,4054730,6470469,6469356,4053701,2426204,2426203,4053699,267779416,3751303,3751304,5998466,6403177,4054114,2426494,2426493,4054112,6469817,6403197,6403198,6730995,9199784,6023289,5998441,4121818,4121819,4017438,4017437,254151962,9762039,254116010,13186571,18557933,14200868,14200867,13182824,13182825,8986265,8986266,6426896,4032145,2416433,2416432,4032143,6426893,5866764,5866763,8986274,13181273,8984960,5990679,5990680,9153754,13389847,14170640,16036816,11135002,7385739,4665946,2811027,1630782,927374,927375,1630783,254350485,254728828,16036857,255028592,38059974,47972214,59317112,47924071,47924070,59317111,255914132,30211042,23028151,16785720,16785719,22199043,22199042,29542336,38105624,38315073,29746434,256405537,48224857,47749994,37827752,29262233,29262234,37827754,257491249,71886361,64129081,64129080,74019419,66842363,59452553,48061440,48061439,59452552,52279152,41939877,41939876,52279150,64129079,77277446,72173336,59434857,59434858,72173339,65321107,53322299,53322298,65321106,77277442,77277443,85767628,72173343,59434861,59434862,72173344,60190559,48793783,48793782,48793780,256447119,22887580,16658805,11626262,11626263,7748744,4907364,2957905,2957906,4795443,7581659,7581692,7581694,5967191,4864319,2931123,1700050,1700049,2931118,4864309,4900090,4900088,4808946,2898227,1681632,1681634,2898236,4808967,7601783,7616499,4818996,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699707,1699705,2930391,4863017,7604511,7736019,7606118,4816429,4816428,4816399,2902505,1683782,957427,957428,1683785,2902515,4816415,7612872,5683473,3535474,2104390,1211735,683431,683430,1211733,2104379,3535449,5683418,5573357,3457396,3457395,5573354,7613212,10012096,255340769,20312750,254986492,1428051,254096128,4129991,4053985,4053984,6469652,6469077,6469076,5957019,3725378,3725377,5866783,8986299,9760677,9760676,13177017,254147244,3661041,2190399,2190397,3661032,5864105,5866361,5866360,5990671,3767211,2257128,1309989,1309988,2257125,3767203,6021798,6405778,5957893,5957892,254145466,8998714,13200331,13187520,8989732,5869307,5869306,8989729,8481666,8481668,12519273,11134946,7385700,4665925,2811020,2811021,4665931,7385708,8800975,8800974,12936618,18237709,22158050,16036945,16036944,22158049,25419743,31679153,24171044,24171043,18825672,254146936,31556500,40242527,42123184,33228219,25479668,25428357,18834735,13419483,254445498,9175270,9175269,10248191,6733493,4218684,4218683,6023494,9200091,13453008,18878231,14576865,10030541,6592199,254096126,267762386,18816837,25407396,254651130,40243882,40243881,50263360,61530405,254313158,31350043,31350044,40030666,50050943,61530410,74307988,77532782,81210701,67745562,55405834,44558354,35180031,27091292,20192537,14488220,14488221,14338640,9968584,6551557,4104318,4104319,6551558,9968587,7427823,4693661,4693662,7427829,11194539,16115610,11194497,11194496,10868791,7427799,4693652,4693651,7427790,9924673,9924675,8330461,6522801,4086954,4086946,4086949,6522786,9924611,14427851,16132426,16132429,22274781,19250534,13755180,13755179,19250051,19250050,25911646,32049913,29604754,29604756,31302707,31802107,26435319,19696745,14122693,14122695,19696752,22254677,25912928,19251004,13755508,12325247,8325719,8325718,12325240,17481218,17925068,24309761,31827068,40524155,35177052,35177051,35096436,35096437,37993159,32049720,24484299,255214629,8706789,5668213,5668214,8706792,12805177,18061586,24484309,29603046,38170055,255558626,42748420,268416238,49993717,40523531,31826495,24309266,24309259,24309258,31826484,40041827,40041830,257652757,74315986,62001555,269887707,74315995,87919380,76700322,63610297,51821632,51821633,63610288,258365673,66019778,64330054,52462363,42109781,33155290,33155291,26435922,19697218,14122982,9716330,6391974,6391973,9716328,14122977,19697210,256191221,31066202,23582159,17269918,17269917,255478659,16383489,22563073,29922522,38482619,29922586,22563132,22563129,22804372,16586857,14124351,9717304,6392641,6392638,6151789,4011792,4011791,6392677,9717390,13709429,19195523,25851111,33655939,256500097,268402165,16116663,11195099,7428141,4693815,2828159,254352619,7428140,11195097,11471847,7630511,7630512,6175977,6175975,9425598,12325247,8325719,8325718,12325240,17481218,17925068,24309761,31827068,40524155,35177052,27088986,20190809,14487037,9967821,6551058,4104020,2454834,2454831,4104013,6551048,9967802,14338970,9850952,9850954,14334379,9847248,6467672,4052509,4052510,4054096,254077448,798806,452780,255229,141334,77431,77430,141329,255221,452769,798780,1403613,2426413,4053984,6469652,6469077,4053422,4053423,3768320,2257832,2257831,3768317,254116044,6592044,6022566,6022563,9104063,5957019,5957018,9104062,10243445,6730632,4217017,3662498,2191482,1272223,727147,727149,1272224,2191483,3662501,5866364,8985776,9906747,8990063,5869511,3664921,2193432,2193431,3664918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161411, s2 = 10340975, dlinesl.size( ) = 2 s1 = 14161411, s2 = 10340975, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14161411, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 11012102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 68018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9808329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130413, s2 = 14334245, int(edited[s2]) = 0 s1 = 14130413, s2 = 14334245, d1 = 8, d2 = 19 Dl.O(d1) = 273531242 Dl.O(d2) = 73315,73317,134791,243919,431984,753520,753519,1320839,2277703,3802635,2357295,1365107,777657,441306,441304,777649,777747,441325,441327,777649,777747,441325,441327,777649,1364401,2354590,3933105,6281239,9571843,13944966,19485997,25634462,254940116,19044003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130413, s2 = 14334245, dlinesl.size( ) = 10 s1 = 13220385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14031198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14031198, s2 = 11089629, int(edited[s2]) = 0 s1 = 14031198, s2 = 11089629, d1 = 17, d2 = 3 Dl.O(d1) = 70935709,84499890,98421625,112410510,113977629,126103166,126273585,113977624,99954709,85995881,85995880,259949410,72399264,72399263,70935697,58218410,46850584,46850585,58218413,70935703,84499880,98421612,99954712,85995883,85995882,99954711,98421592,98421593,85995888,85995887,85995890,259256062,258005484,52223521,258381889,91122652,259529362,91488748,77557973,77557974,91488751,105712603,119947332,126273575,112410488,98421603,98421604,112410491,272209426,260509375,112410486,260275381,260275379,259526692,126273573,126273572,260738310,147059940,147059939,152203334,139473128,260498983,112244951,119947330,133814252,147059936,159437507,159685075,147336553,134124068,120292854,120292853,134124066,147336552,153644362,165425425,163569253,270392616,111832999,111833000,269808726,126101105,139473134,134124069,120292856,106092398,91897549,77972818,64778284,52858703,52858702,258426031,259680001,106092388,91897542,84356750,70798243,58081529,46710071,46710072,270907174,52858699,52858698,64778279,257416425,36827782,28331719,28331720,36827784,46710069,58081524,70798238,84356746,98265187,98265188,84356755,84356754,70798247,58081534,46710074,258026377,53878893,53878894,58944667,71666407,72043024,62218622,62218621,73616447,65946337,53878898,53878899,53878900,65946338,79310644,93441419,93441418,79310641,79310639,93441415,93441413,79310638,65946334,65946333,79310635,93441409,88692565,88692566,102701656,116794264,116794263,102701652,88692560,75041756,62218611,62218612,62218615,270415173,116794245,130619086,143926640,156433582,260217582,258974174,89924126,76118121,63112457,63112456,74397024,268130980,50136709,50136708,40116154,31437263,23946062,17600819,12423357,8396440,5418228,5418229,8396441,12423358,254671354,23946063,31437264,34649946,26658605,19844494,19844493,19844488,268043331,9773904,14217039,19844490,26658599,34649943,26658607,19844495,14217044,9773906,6426433,4031877,2416259,1398760,1398759,2416258,2416260,2416261,4031879,6426434,9773907,9773903,9773902,14217038,19844486,19844485,26658594,26658595,268813349,46271526,46271527,48514178,59907455,72648135,78039613,80348616,80348615,80348617,66922390,54665809,43923222,34649923,26658583,256202601,43923224,34649927,26658585,26658584,29055982,21761252,15705800,10872585,10872584,255425283,29055973,31116532,39797051,49817715,52859971,51031016,49817799,39797113,31116566,31116565,39797109,49817717,49817718,57998716,46622693,46622686,36734500,36734501,46622690,57998709,70714999,72343661,72343662,59609349,48222516,38312620,38312621,48222518,59470048,59470049,72208175,64779571,52859936,42455991,33462996,33462997,42455994,44447936,35073145,26989078,26989077,35073140,44447931,46925945,46925944,268941452,39797096,31116556,23630128,23630127,29248497,29248498,37813246,47048838,47048837,58423642,59134023,71872123,79254873,65892054,53824401,53824400,53824667,43299518,34201490,34201489,37124450,34996914,34996913,34637673,34637672,43910821,39361155,32559815,24908812,18404247,18404246,24908810,32559811,34201732,41369350,34201176,26328022,19600960,14044695,9657041,6350103,3984262,2387898,1382347,1382348,2387900,3984268,6350116,9657037,8771101,254891121,18182663,24638449,19600826,19600825,26328170,34201326,43299358,268611246,74521739,64841744,52917024,42507574,33508633,33508632,25775740,19135263,13663433,9356842,6128992,3834637,3834550,2297321,2297320,2297330,3834571,6128885,9328174,9360206,12303991,8310413,8310412,9362463,9362462,7993574,5088310,3087371,1802822,1802823,3087377,5088328,7993608,9362620,9362613,6132776,3836829,3836830,6132781,9362479,9362481,9362791,9360199,6130961,3835734,2297969,2297968,3835728,3759606,3759605,6010998,7993547,7993546,11942728,13651650,13651649,10936362,7236138,4561677,2743259,2743260,4561661,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143265,19143295,13671808,13671809,17027629,11942770,7993568,7993569,5088318,5088315,7993579,11942794,13672008,19143368,17027675,11942758,10905628,7212701,7212698,6130981,6130982,9360242,13668783,19143321,25726524,19095089,19095088,25451770,21858362,21858363,21858405,17027718,17027719,21858413,15786260,10936341,7236124,4561666,2743254,2743255,4561671,7236130,10936347,15786227,19147596,17027611,17027610,13668766,13668767,19143290,25788093,30702372,23286666,17027636,11942735,11942736,11942788,17027706,13668815,9360211,9360210,13668812,19143364,19143384,19143383,25788113,19143315,19143316,25788116,25726514,19095084,19095080,25726509,33504729,25788233,19143403,13668848,9360232,6130978,6130979,9360235,13668859,15247759,10518936,10518938,15247764,21216071,23286693,17027653,11942744,11942745,17027657,23286699,29474667,38037441,38037442,33584011,33584010,33583941,33583942,42333823,42608001,33590529,25794615,25591832,18982391,18982392,18982383,18982384,15786263,15786264,17027711,255974563,38037459,33352345,25591824,18982386,18982389,25591830,22138008,16021231,16021233,255887839,33352379,25591867,18982419,18982418,25591862,33352375,37727633,37727635,42608011,33583999,25788251,25788253,27151649,27151650,27151606,20240945,20240946,221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42,15837243,21922664,29241933,37806132,37806083,37806082,44620283,41807401,32884837,32884836,35237806,27141927,20233902,20233900,20233938,27141937,20233906,20233907,27141942,35237828,44620091,55469178,55469106,55469108,52122641,41807376,41807377,44620155,55469250,55469434,44620457,44620456,55469103,55469104,47727688,47727669,44620513,44620514,44620498,44620500,46976361,37093163,37093162,39407353,39407354,37806102,29241916,29241915,29241925,29241926,37806118,47728001,47727937,47727936,48570527,52122668,41807397,41807396,35237967,27142018,20233947,14519467,9990696,6566201,6566200,9990693,14519458,20233924,27141973,35237888,44620053,44620054,35237852,27141953,27141954,35237858,35237950,44620307,50608988,44620374,44620375,47727693,37805864,29241703,29241704,27142068,27142066,35238056,44620508,55469234,58345651,58345650,60739955,59126353,47727967,47727966,55468458,59126396,59126392,59126390,55469217,44620119,44620118,55469211,55469466,55469389,55469366,44620270,35237925,27141989,20233932,20233929,27141962,20233918,20233917,27141960,35237865,44620173,55469284,67810957,81278389,81278481,67811079,55469427,55469426,55469430,55469520,44620370,44620369,48556139,47727684,37805859,37805858,47727679,55469293,55469295,67810965,81278374,71061935,71061932,81277814,67810229,55468465,44619377,44619378,55468469,55469451,44620316,44620317,44620123,44620112,44620111,35237918,27141983,27141981,35237912,44620238,35237905,27141977,27141976,35237902,44620233,55469267,55469266,55469276,55469277,67810950,67665850,67665849,81132517,81132436,67665672,55325774,44479655,35102949,35102948,44479652,55325771,59126051,47727674,47727673,59126048,71864489,85449520,95190790,81132545,67665799,67665800,81132549,95190746,81277804,67810223,67810224,74044807,81278486,81278358,67810912,55469221,55469220,55469382,44620259,44620242,44620243,55469357,55469340,44620225,35237896,35237895,44620221,55469328,67810997,55469567,55469570,67665862,55325908,44479738,44479740,49785994,49785993,61265096,74044904,67665628,67665629,55325764,55325765,55469594,67811217,81278590,71864483,71864482,85449514,99155704,85233610,85233598,71668677,71668676,81132533,67665782,55325853,44479711,44479713,47564303,37658166,29108334,29108333,35102989,44479662,44479679,44479705,55325844,55325871,67665735,55325821,44479689,44479688,55325816,67665729,81132486,71814868,71814867,67665679,67665678,55325903,44479734,44479733,55325898,61265091,63835037,67811311,55469703,268955386,81278652,81588813,81588772,68098942,68098944,81132640,72701193,59963530,48571403,48571402,55469733,64791217,77984829,77984873,77984874,77984880,77984879,91908624,90817946,77984862,64791255,61731124,55469739,44620553,44620552,55325752,44479643,35102944,35102943,44479636 Dl.O(d2) = 86587800,86587728,270864401,114579437,109827504,109827503,100548711,100548712,114579404,128463562,141816427,259630354,109352296,109352297,95623411,81589856,68100117,55702413,49898430,49898431,61378912,49898444,49898442,48862504,38942870,30356715,22955121,22955122,30356736,38942895,48862533,60255346,72990664,86587734,260049217,126673149,130080403,260072940,128463560,128463533,261009383,109827561,109827562,123967168,137648664,272785303,261792888,137648644,271368458,95623219,95623220,109827502,123967135,114579359,100548629,86587671,72990607,72990606,86587669,73253286,73253285,86866215,100847438,114898333,128795624,260707008,154462372,154462365,142086681,142086680,137648663,130189343,116350628,102256069,88257727,258283641,259530603,116350626,130189341,142086774,260658249,114828577,128463529,114898332,114898331,259629851,90814120,104991669,261947921,261233525,128728180,128463538,114579369,100548636,86587678,72990612,72990611,86587676,261771729,128463532,128463531,272577343,129677934,129677933,128424529,114828579,114828578,115806427,101760110,87787035,259496829,115806422,129705441,133021983,146256137,143519097,130189377,116350680,116350681,259780874,100548634,114579367,101760168,87787123,270899883,115806461,101760170,101760171,100776600,100776601,100776602,101760172,87787125,74182875,74182874,259496839,115806464,114828471,100776599,86795915,73183475,73183474,60436429,49032382,49032383,60436433,73183488,86795927,100776611,114828479,261044108,76938212,76938213,90814124,104991675,119186661,119186683,259629857,76938286,257761341,52015797,63830918,73183197,73183198,86795719,88257903,74627605,61835400,61835398,74627602,73183466,73183467,86795906,100776594,90814135,76938218,73183744,73183745,86795921,73183479,73183480,77947305,64753299,64753300,64753310,63830906,52015782,41705305,32789730,32789711,32789710,41705265,52015729,63830846,63830775,60436788,60436790,73183780,86796058,86796057,260658247,258906293,74627543,63013538,63013539,75996957,73183195,61835402,61835403,74627607,86796124,73183771,73183748,257586209,49032744,60436746,73183746,86796102,260058532,87787036,74182755,61402806,258250373,87787033,76938208,73183439,73183440,60436794,49032782,49032783,49032805,49032813,60436289,49032638,49032640,49032648,41705233,40324363,40324364,49032091,39102727,30506276,30506209,30506210,39102719,49032068,50351217,50351218,59306327,47912187,39103288,30506727,23091953,23091952,30506721,39103278,49032760,60436769,73183764,62626408,62626406,60436025,49031985,49031870,39102562,257005561,257586199,39103172,39103171,49032617,60436620,49032713,49032712,55427659,55427657,49032735,49032734,39213078,30616387,30616386,39213076,49139874,60539769,60436625,60436626,60436628,73183505,73183507,86795729,73183217,73183216,258194257,257586169,49032244,48932456,48932457,60330352,49032560,44794188,44794186,39103252,30506705,23091941,16837195,16837196,23091946,30506715,39103267,38696818,30120079,22738072,22738071,30120077,38696816,48612492,60003619,258194213,60436003,60435993,49031957,49031958,51003635,51003633,60436002,49031965,39102648,39102647,49031962,60435999,73183112,258194195,49031830,39103122,30506549,23091812,16837121,16837120,23091644,30506347,30506354,30506468,39103025,268110032,30506510,23091777,23091778,23092043,30506859,30419696,23014796,16775004,16775003,23014790,30419685,39008933,47305304,37520542,28976778,28976779,23091983,16837216,16837215,16837190,16837189,23091879,30506622,29474916,29474917,30506397,23091683,16837042,11774158,7860837,7860839,11774164,7860859,4989147,3013477,1750406,1750407,3013484,4989159,7860882,11774178,11774181,16837086,23091766,16837238,11774263,7860894,7860893,7860899,11774272,16837266,23092057,30506875,30419667,23014770,16774995,16774997,23014775,30419672,39008913,37520544,28976781,28976775,21694233,254825430,10835071,15653953,21694244,23091913,23091914,30506666,25631295,23091513,23091512,30506125,30506483,23092025,16837249,16837248,23092020,30506363,30506569,23091831,23091830,18986197,18986199,23092122,23091737,16837070,11774293,11774294,16837312,23091897,23091898,25596115,29028270,29686593,22334262,17418063,17418061,23092078,23742881,17418163,12276651,12276650,17418158,23091856,30506585,30506588,28976814,21694271,15653966,10835076,10835080,15653976,19015452,13571470,9291956,9291954,13571463,19015442,25631303,33397344,39103366,34579172,30506821,30506822,33356699,28855047,21582428,15558478,15558480,18986201,18986202,25596131,33356714,30506447,30506446,39102994,39103416,33543445,25754899,19116740,19116741,22334258,16187045,16187044,19137487,25778587,31225897,31225896,39902614,49922212,61401962,72164083,256932076,99712984,113727387,113725911,99711751,99711752,255396646,72381622,60348197,48952151,48259497,38348680,38348679,48259496,54665804,43923219,34649920,26658580,19844476,19844477,26658582,34649919,43923217,54665800,58550138,66922387,66922406,54665820,43923234,43923235,257887679,77966434,64771570,64771569,257395770,86235858,256279120,48497096,38582348,38582349,269351693,100204173,113472064,113472065,127341395,140697243,140697247,140697244,140697245,140697250,140697241,140697242,127341396,259972021,85516094,71928461,59188835,47788699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14031198, s2 = 11089629, dlinesl.size( ) = 2 s1 = 14031198, s2 = 11089629, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14031198, Dl.E( ) = 18, 3.91e-05 seconds used appending s1 = 8175861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1833541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14727525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9781169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2935541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1403449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1172250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1878476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1878476, s2 = 10353499, int(edited[s2]) = 0 s1 = 1878476, s2 = 10353499, d1 = 6, d2 = 9 Dl.O(d1) = 48688166,38766427,38766426,257562237,71371329,61462848,49985146,39969079,31294760,255561701,17475612,23808988,17476127,12321342,12321341,268111279,12320704,17475293,17476219,255561667,17475006,12320508,12320507,8321997,8321998,12320671,12320667,12320668,12321197,8322384,5370140,3301302,1941655,1109125,622461,622460,1109123,1941649,3301293,5370133,8322096,5370087,5370088,8322321,12321109,12320804,12320805,17475435,23808764,17475453,12320824,12320823,12320723,8322034,5369906,3301170,3301171,5369910,8322037,5369962,5369961,5370129,5369877,3301152,1941573,1109073,622433,345922,189708,189709,345928,622444,1109094,1941610,254401417,8322179,5370119,3301284,1941642,1941644,254592315,12321164,12320657,12320658,17475215,23808070,17474942,17474940,23808066,268080360,22000838,15901072,11023523,8046320,5136431,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,4037932,4037931,6437035,9791428,14243482,14244250,15866212,13332754,9109815,9109814,9791379,6437016,4037920,2419621,2419622,4037926,6437025,9791408,9905060,14400377,14400397,14225015,9779083,6429655,4033752,4033750,6429649,9779070,14224951,14224948,17082515,23079212 Dl.O(d2) = 155707240,261234032,142093396,261360156,261241889,131419512,117618568,259451100,258204018,18119759,20994339,28175705,32454548,32454547,40914066,32136278,32136279,32140765,24558826,18120534,16948112,11861560,11861561,16948103,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,5976383,9132515,13362989,18765983,25347097,254816166,24556330,24556331,32137930,24557836,24557838,24556739,23386718,18119349,18119348,24557259,32138988,40916458,48327966,59714493,49415446,39485868,30880212,23449253,23449255,30880192,39485844,49415428,59719197,48334061,38429121,29867569,29499949,29499950,267880690,28767715,28767714,255018606,32969345,268607578,36923819,46503642,46392437,39709233,31032283,268249641,17243088,23551164,31032287,39709236,37061760,28560675,21334382,15361162,10612875,10612876,15361163,21334384,255704542,31618811,24113526,24113527,31618812,28969345,26904899,26904900,32176065,24589661,18144513,18144514,24589666,20021419,20021420,18192000,12903163,12903164,12903179,18192031,24649009,32247436,29146745,21838902,21838903,29146751,22963003,22963004,21838926,21838925,29146791,29741398,33995607,29332756,22002034,22002033,256374515,39937806,37709934,31179650,31179651,39862192,49884683,43914521,43914520,52279700,41940434,32999209,32999208,34299365,43399967,39895207,31218157,31218155,24589381,24589382,21894066,21894067,29207521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1878476, s2 = 10353499, dlinesl.size( ) = 2 s1 = 1878476, s2 = 10353499, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1878476, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 7885986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8144728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7928022, s2 = 9817392, int(edited[s2]) = 0 s1 = 7928022, s2 = 9817392, d1 = 6, d2 = 8 Dl.O(d1) = 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9510,16699513,16699536,16699867,16699866,22934771,29611187,30335143,30335148,30338666,30335176,22937555,22937554,16702825,16702826,22938050,22937919,267983494,29611231,255123486,30338877,29611161,22260930,22260929,22260953,16121111,16121110,22260948,29611328,30338039,38922524,38922525,38922528,38922527,38922328,30336077,30336076,38922325,38649957,30339318,30335339,22934501,16699531,11660115,7771449,4924516,2970031,2970033,4924521,7771458,11660132,16699572,22934548,30335363,30335364,38921693,30339060,22938059,16702835,11662926,7773807,7773808,11662932,16702844,22938067,30338890,30338892,30338882,22937857,16702663,11662818,11662815,16701722,11662096,11662070,7773234,7773235,11662076,16701685,22936857,30336361,22935607,22935605,30336355,30337969,30339210,22938255,16702997,11663045,11663043,16702990,22937942,22937941,22934468,22934470,22934527,16699553 Dl.O(d2) = 48567288,38651772,38651773,48567294,48845092,47895847,47895848,48564622,52915236,48845164,38924993,30338852,22937823,22937822,30338846,38924983,48845156,48845071,38924842,38924774,30338544,30338545,30338592,22937499,16702310,11662515,11662513,16702304,22937484,30338570,35249305,27150911,27150910,35249301,42505871,38655679,38655680,38655687,48571586,48571826,48570396,38656470,38656471,44619831,44619832,42505882,42505877,42505869,38656233,38656234,44626655,35243108,35243109,37978508,37978509,38649351,42505862,52915244,48845148,38924975,30338842,30338841,28936701,28936702,37478687,44626647,48572020,48845042,38924769,33956151,33956153,33956863,26119774,19426153,19426154,26119778,33507046,38654460,30334595,30079015,28318661,28318662,30078707,22697421,22697424,30078720,30334585,30078901,30078696,30078698,38655669,44426218,38656059,33507081,25728728,19097072,19097070,25728722,33507071,27145971,27145972,30079254,30079255,33306125,34135298,34135297,38656207,38656206,43013336,37478673,28936694,28936696,37478679,30079196,30079197,38656150,35388315,29387471,29387469,33956880,26119791,19426159,19426161,26119798,30334615,22933730,16698832,15162623,15162624,21108266,20241706,16494663,16494662,22697428,30078725,38107261,30078691,30078692,30079375,35051533,30079112,22697993,22697994,20236752,16494989,16494946,14521356,9991910,9991909,11492630,11492631,16495129,22697977,22698001,22697999,30079296,38656209,35243014,35243011,35051695,30079209,22697922,22697923,30079215,27262882,27262883,30079035,22697719,22697720,26119784,26119783,33956870,28318674,21108274,15162633,10456667,10456669,15162638,14524716,14524715,16494655,22697412,29544051,29544047,29544041,22200822,22200823,29544025,22697826,16495146,14521344,9991899,7643645,7643627,7643626,6566961,6566960,4835678,4835679,4835689,7643736,11492661,7643742,7643745,11492672,7865523,7865526,11490422,16491783,15953299,15953301,14523800,14523801,16845431,11780572,11780569,10744246,7643620,7643619,11492486,16494924,20236591,20236592,20241698,14524710,9994073,6568256,6568255,9994064,14524698,16495096,11492611,11160404,7402900,4676850,4676848,7402894,11160394,11492515,11492514,7643655,4835614,2913716,1690203,961123,961124,541648,541647,961147,1690246,2913778,4835717,7643772,11492710,11780453,14523813,20240435,20242250,14525093,14523805,14523806,20240419,16845435,16845270,11780439,11492495,11492494,16494913,22694054,16492211,16492212,14523784,9993444,9993445,11492787,11492790,16495324,16491771,11490410,7642350,4834857,4834856,7642345,11490398,16071787,11492526,7643642,7643641,4835644,2913743,1690228,961140,541644,303508,167997,92451,50995,50992,92439,167968,254101011,960754,1689445,2912236,4832846,7638740,11484505,16482699,22680522,29494929,29494926,30440350,26953060,26953058,26956462,26956463,22270365,22270363,29621647,29621631,29621632,38188943,44407947,55255592,256226676,33756445,25948603,19284522,19284524,22090724,29421358,23305063,17044208,17044207,21825752,29132844,31267055,23781991,17451882,17451880,23781986,25948419,19284389,13785833,9451992,6196787,3878453,2322709,2322710,3878457,6196794,9452007,13785865,19284444,25344101,28862986,37404418,29587840,29587841,32852792,25884079,19224503,13733077,13733074,19224498,14366015,14366014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7928022, s2 = 9817392, dlinesl.size( ) = 2 s1 = 7928022, s2 = 9817392, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7928022, Dl.E( ) = 10, 1.48e-05 seconds used appending s1 = 405537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 265006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7929709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13192913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13192913, s2 = 2039400, int(edited[s2]) = 0 s1 = 13192913, s2 = 2039400, d1 = 36, d2 = 30 Dl.O(d1) = 17938357,16684340,11646202,7758901,4913990,2962119,2962117,3924350,3924349,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,1303001,1303002,2246420,2204623,2204626,3682782,5896112,6415059,5872479,3666767,3666769,5872491,5611963,5611959,6153974,3850501,2306975,2306972,3850510,6153986,9393576,13705587,13739715,13739714,268306731,32416535,41242575,35256015,27156997,21326613,15354784,15354785,255066046,18063015,14418737,254232304,254122522,4438373,4438374,7051342,6995331,4396228,4396229,6993632,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634479,4396356,4083947,2443461,2443457,4083926,4085758,4084380,2443697,1413015,1413016,2443678,4084348,6518651,6569968,6521043,6521041,8720536,9916520,6516979,6516977,4396323,4396324,6995476,10602671,10681812,10681815,12850982,12850983,14417837,13790162,9455728 Dl.O(d2) = 53076103,53076104,260904933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13192913, s2 = 2039400, dlinesl.size( ) = 2 s1 = 13192913, s2 = 2039400, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13192913, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 8388534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9752459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9776103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14047809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047809, s2 = 452754, int(edited[s2]) = 0 s1 = 14047809, s2 = 452754, d1 = 1, d2 = 1 Dl.O(d1) = 34575947,43847767,53192395,42742863,38765331,38765332,36518559,28053888,28053889,30181873,38765319,48687099,49152656,39225934,30627969,30627970,39225936,41936089,32995226,25271042,18699104,13306123,255249947,25271044,32995229,41936092,49152607,60083280,72820684,70311145,258617629,58931043,57621763,46277393,46277394,256897863,37642388,257477561,256804761,36423503,46276146,57620580,55682142,44773396,44773395,55682141,46275494,36422850,36422851,46275496,57619949,57620587,55682180,44773443,35348327,35348328,44773445,46276352,36423677,27965188,27965189,36423678,46276353,46276157,36423522,36423523,46276148,36427046,27968205,27968206,27225291,27225293,35348335,44773452,46276009,44773440,36423512,27965080,20802694,14908690,14908689,20802691,27965075,36423508,36423530,255781437,20802712,14908713,10251132,10251133,14908762,20802808,27965213,27968174,27968173,35348071,27225036,27225037,20296744,20296743,14910708,14910709,14910722,14908810,10251174,6735666,6735667,10251176,10252666,6736795,4221052,4221051,6736794,10252663,14910724,20805329,27225091,27964510,20802173,14908254,255356667,14908221,14908220,14909761,20804018,21655326,15620458,14909386,10251619,10251618,10022517,6587171,4126923,2468706,2468705,4126921,4219948,2523051,1453939,1453901,1453900,2522748,2523027,2523555,1454259,823398,823397,1454257,2523552,2523754,4219800,4220140,4219519,4219518,4219239,4219238,6734415,4219959,4219958,4219816,2522949,1453872,823182,464911,464912,823186,1453758,823113,464873,464874,254154623,1454263,823402,823401,465066,261844,145169,79870,43770,43771,79871,145172,261850,465082,823515,1453912,1453905,823200,823199,1453903,2522999,3629047,2167469,2167468,3629043,5817640,4220991,267784291,1454377,1454378,1453681,823071,464850,261723,261722,464846,823062,1453667,2522592,4219265,2523804,1454426,1454425,2522570,2522571,2523173,1454017,823268,464954,261786,145138,145137,261784,464950,823258,1453996,2523147,1454369,1454368,2523725,4219918,2523011,2523010,4219914,6100323,6100322,6734549,4219337,4219339,5817633,4221135,4221134,6736292,4220693,2523560,2523561,4220697,6736302,10251962,6736851,4221106,4221107,6736855,10252705,10252704,14910762,10252697,10252590,6736731,6736732,6736768,4221035,4220148,2523168,1454013,1454005,1454006,2522576,1453988,1453987,2523128,4220087,4220129,2523152,2523151,4220126,6735555,6735281,4219912,4219911,4219257,4219256,6100325,6736873,6736874,10252020,10252019,6736888,4221140,4221139,6736884,10252758,10251959,6736279,4220687,4220688,6736283,10251967,10250635,6735243,4219878,4219877,6735239,10250629,14908177,10252742,6736869,6736868,9312621,6100337,3816926,3816924,6100332,4220964,4220093,4220092,6735510,10250946,10249773,10249522,10249523,14906840,20800365,27962058,20800077,14906571,14906572,10250936,6735503,6735501,10250927,14908498,10250917,6735496,6735497,6735550,6735551,10251007,7397119,4673070,4673071,4446865,2856392,1657774,1657772,2856388,4739455,7497567,11292614,16243058,22405611,29768695,38339851,268222264,29528054,255891612,38092776,255891415,16059592,11151049,7396152,4672427,4672425,7396149,11151045,10756577,7106604,7106602,4739605,4739607,4825978,4825980,7627640,7398343,7395868,7395870,7395469,4672024,2814738,2814737,254525055,11150115,16058436,16460260,11469005,7628781,4826642,2908628,254361273,7396727,255078143,22188060,16856027,11788975,11788976,11151770,11151769,16060627,22187993,16062870,16062864,16062865,22190655,255927123,29529142,22186734,22186735,22267196,16856026,16062867,16062868,255460495,268617754,255899117,256937599,255899019,255460499,16856024,16126059,11202093,11202092,255460497,22188051,29530609,29532142,22189279,22189280,268633027,14518079,11202543,11202542,254739324,16127288,255460605,29618541,22267346,16126210,16126004,11202039,7432907,4696856,2829904,2829906,4696859,7432908,11202041,254527885,4696876,7432938,11201845,11201844,254528118,255083475,7433173,7433172,11202390,16126378,22266103,16126386,16126387,22267476,16126398,16126400,11202566,11202296,11202297,16126293,18952522,16127010,16127011,22268017,22268019,29619007,29619167,29618756,22267663,22267660,29536224,34593935,26606769,26606770,29528445,29387292,29387293,29530584,22267938,16126890,11202805,11201952,7432849,4696816,4696818,7432856,11201965,16125890,16125913,11202115,11202116,16126102,16127456,16127454,22268425,29528111,29618155,22267717,16126666,11202633,11202631,16126659,16127380,16127367,16127369,11203213,11203214,16127400,21544846,21544845,22189474,29532270,22268001,22267999,29618559,29528408,22186033,16058960,11150516,11150518,16058966,11150525,11150526,16058985,22186069,22267056,22267102,22267104,16934619,11852250,7921575,5036210,3049264,3049265,5036218,7921592,11852282,11849625,254166074,23199907,23199908,30621729,39219005,49145562,49145561,46707300,36825303,29630910,29630911,38197578,39218953,30621674,23199865,23199867,30621680,33205812,25458398,25458399,31056586,31056587,38099684,38185808,29618727,29618729,30621643,38100361,30354888,30354886,37726207,29166184,29166185,29536902,29536900,22194176,22194177,22193598,22193601,29536749,38100420,38100244,38100245,48011013,39218976,38185708,29618608,29618609,28329756,21119047,15171927,15171926,21119024,21119054,28329770,268224114,23205009,23205010,28329644,36825225,29535945,29535944,29536066,38099869,46707301,46707302,58078943,48010714,38099751,38099752,38100781,29537230,29537229,29535952,22192711,16064423,11154504,7398619,7398618,11154502,16064418,22192703,29535949,29535617,29535618,36825141,28329568,21118908,21118909,16064134,16064135,22192343,29535590,31313027,39989564,38099787,38099786,257510605,256930515,258120252,38099931,38099932,255892115,255078441,11154866,16065005,22193324,29536497,38100190,38100678,29537080,268633113,22192915,16064599,16064600,255892073,255454471,268222357,29536321,30029433,38602941,48517727,48011270,38100679,256930553,59398721,48011060,268633121,22193518,22193519,29536654,38100328,46720604,46651499,257534876,23101825,21288963,21288964,28508842,22193119,16064806,11154791,11154739,11154312,7398845,4674116,2815960,2815961,2815977,4674147,7398910,11154980,16065167,14166929,9739563,6404498,4018166,4018169,267943619,14166968,19778623,256425769,22660404,22660405,29536023,23101959,22193304,255078439,7398839,11154857,16064998,21128621,28340745,255724521,19778601,268537301,256719969,257510611,256388259,22193308,16064996,16064995,22193307,255097408,254358138,2910906,4830743,7635835,11480716,16476502,16476501,22672700,256388197,22192557,255078383,4673972,4673971,7398575,11154430,16064304,22192551,22674261,22674260,22669810,22404259,22404258,256407103,256852967,29618887,29618886,30049887,38094019,29530241,22187750,16242026,11478584,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,4830626,4830473,2910752,2910729,1688575,1688576,2910647,4739224,2856262,1657698,943231,943232,1657705,2856274,4739256,7497224,11292061,16242192,11478234,7634312,7634313,7636672,4831257,2911155,2911154,4831248,7636646,7396495,4672642,4672644,7396502,11151582,16060382,11474254,7631973,4828480,4828478,7631966,11474223,16060983,11467974,11467973,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,303311,541237,960232,1688484,2910564,4830114,7634843,11479112,16475263,22671109,28735571,21478457,15476019,10702130,7070511,7070512,10702132,15476017,255838681,37267627,47173685,58562710,71294802,84869024,261112087,152699468,164539851,164727166,152895501,140204673,126857299,259995100,85090197,258128976,47399471,256397288,21668810,21186667,21186666,28407918,29714156,25244965,18674720,18674721,25244967,32966897,28700365,21448187,21448188,19221549,13730559,9406042,9406039,13730550,19221536,25880650,33686961,38096005,38212181,38229683,48139747,255900980,22311074,22311073,268340728,36905368,28857701,28857700,36905418,38159433,38159434,255903505,22294618,16149611,11219706,254528569,4703675,7444442,11219708,16149612,256397491,48123512,59511040,72245571,85837513,99790286,261171665,153686268,165465509,263150619,262311336,128124528,114237725,100203306,86235028,72632284,72632283,86235024,86235026,72632280,59890157,59890158,72632282 Dl.O(d2) = 34575947,43847767,53192395,42742863,38765331,38765332,36518559,28053888,28053889,30181873,38765319,48687099,49152656,39225934,30627969,30627970,39225936,41936089,32995226,25271042,18699104,13306123,255249947,25271044,32995229,41936092,49152607,60083280,72820684,70311145,258617629,58931043,57621763,46277393,46277394,256897863,37642388,257477561,256804761,36423503,46276146,57620580,55682142,44773396,44773395,55682141,46275494,36422850,36422851,46275496,57619949,57620587,55682180,44773443,35348327,35348328,44773445,46276352,36423677,27965188,27965189,36423678,46276353,46276157,36423522,36423523,46276148,36427046,27968205,27968206,27225291,27225293,35348335,44773452,46276009,44773440,36423512,27965080,20802694,14908690,14908689,20802691,27965075,36423508,36423530,255781437,20802712,14908713,10251132,10251133,14908762,20802808,27965213,27968174,27968173,35348071,27225036,27225037,20296744,20296743,14910708,14910709,14910722,14908810,10251174,6735666,6735667,10251176,10252666,6736795,4221052,4221051,6736794,10252663,14910724,20805329,27225091,27964510,20802173,14908254,255356667,14908221,14908220,14909761,20804018,21655326,15620458,14909386,10251619,10251618,10022517,6587171,4126923,2468706,2468705,4126921,4219948,2523051,1453939,1453901,1453900,2522748,2523027,2523555,1454259,823398,823397,1454257,2523552,2523754,4219800,4220140,4219519,4219518,4219239,4219238,6734415,4219959,4219958,4219816,2522949,1453872,823182,464911,464912,823186,1453758,823113,464873,464874,254154623,1454263,823402,823401,465066,261844,145169,79870,43770,43771,79871,145172,261850,465082,823515,1453912,1453905,823200,823199,1453903,2522999,3629047,2167469,2167468,3629043,5817640,4220991,267784291,1454377,1454378,1453681,823071,464850,261723,261722,464846,823062,1453667,2522592,4219265,2523804,1454426,1454425,2522570,2522571,2523173,1454017,823268,464954,261786,145138,145137,261784,464950,823258,1453996,2523147,1454369,1454368,2523725,4219918,2523011,2523010,4219914,6100323,6100322,6734549,4219337,4219339,5817633,4221135,4221134,6736292,4220693,2523560,2523561,4220697,6736302,10251962,6736851,4221106,4221107,6736855,10252705,10252704,14910762,10252697,10252590,6736731,6736732,6736768,4221035,4220148,2523168,1454013,1454005,1454006,2522576,1453988,1453987,2523128,4220087,4220129,2523152,2523151,4220126,6735555,6735281,4219912,4219911,4219257,4219256,6100325,6736873,6736874,10252020,10252019,6736888,4221140,4221139,6736884,10252758,10251959,6736279,4220687,4220688,6736283,10251967,10250635,6735243,4219878,4219877,6735239,10250629,14908177,10252742,6736869,6736868,9312621,6100337,3816926,3816924,6100332,4220964,4220093,4220092,6735510,10250946,10249773,10249522,10249523,14906840,20800365,27962058,20800077,14906571,14906572,10250936,6735503,6735501,10250927,14908498,10250917,6735496,6735497,6735550,6735551,10251007,7397119,4673070,4673071,4446865,2856392,1657774,1657772,2856388,4739455,7497567,11292614,16243058,22405611,29768695,38339851,268222264,29528054,255891612,38092776,255891415,16059592,11151049,7396152,4672427,4672425,7396149,11151045,10756577,7106604,7106602,4739605,4739607,4825978,4825980,7627640,7398343,7395868,7395870,7395469,4672024,2814738,2814737,254525055,11150115,16058436,16460260,11469005,7628781,4826642,2908628,254361273,7396727,255078143,22188060,16856027,11788975,11788976,11151770,11151769,16060627,22187993,16062870,16062864,16062865,22190655,255927123,29529142,22186734,22186735,22267196,16856026,16062867,16062868,255460495,268617754,255899117,256937599,255899019,255460499,16856024,16126059,11202093,11202092,255460497,22188051,29530609,29532142,22189279,22189280,268633027,14518079,11202543,11202542,254739324,16127288,255460605,29618541,22267346,16126210,16126004,11202039,7432907,4696856,2829904,2829906,4696859,7432908,11202041,254527885,4696876,7432938,11201845,11201844,254528118,255083475,7433173,7433172,11202390,16126378,22266103,16126386,16126387,22267476,16126398,16126400,11202566,11202296,11202297,16126293,18952522,16127010,16127011,22268017,22268019,29619007,29619167,29618756,22267663,22267660,29536224,34593935,26606769,26606770,29528445,29387292,29387293,29530584,22267938,16126890,11202805,11201952,7432849,4696816,4696818,7432856,11201965,16125890,16125913,11202115,11202116,16126102,16127456,16127454,22268425,29528111,29618155,22267717,16126666,11202633,11202631,16126659,16127380,16127367,16127369,11203213,11203214,16127400,21544846,21544845,22189474,29532270,22268001,22267999,29618559,29528408,22186033,16058960,11150516,11150518,16058966,11150525,11150526,16058985,22186069,22267056,22267102,22267104,16934619,11852250,7921575,5036210,3049264,3049265,5036218,7921592,11852282,11849625,254166074,23199907,23199908,30621729,39219005,49145562,49145561,46707300,36825303,29630910,29630911,38197578,39218953,30621674,23199865,23199867,30621680,33205812,25458398,25458399,31056586,31056587,38099684,38185808,29618727,29618729,30621643,38100361,30354888,30354886,37726207,29166184,29166185,29536902,29536900,22194176,22194177,2219359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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047809, s2 = 452754, dlinesl.size( ) = 2 s1 = 14047809, s2 = 452754, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14047809, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 6437603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15094967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15094967, s2 = 8332493, int(edited[s2]) = 0 s1 = 15094967, s2 = 8332493, d1 = 0, d2 = 0 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15094967, s2 = 8332493, dlinesl.size( ) = 2 s1 = 15094967, s2 = 8332493, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15094967, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 14056118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056118, s2 = 14086486, int(edited[s2]) = 0 s1 = 14056118, s2 = 14086486, d1 = 2, d2 = 17 Dl.O(d1) = 30253866 Dl.O(d2) = 71566589,85136617,99060811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056118, s2 = 14086486, dlinesl.size( ) = 2 s1 = 14056118, s2 = 14086486, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14056118, Dl.E( ) = 32, 2.41e-05 seconds used appending s1 = 1426478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7951662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7951662, s2 = 14880198, int(edited[s2]) = 0 s1 = 7951662, s2 = 14880198, d1 = 13, d2 = 24 Dl.O(d1) = 58817226,71545514,85116624,79143802,65789673,53733872,43222117,34134404,34134405,43222118,53733873,65789675,75414152,75414147,62495317,62495318,59810192,48424351,38516994,29952380,268951491,38559354,256422499,22621761,22621762,29989487,256326410,58277818,46912698,37035503,28537248,21314215,15343705,254442240,4394062 Dl.O(d2) = 23123398,16863540,16863541,23123404,30541990,29955930,22591711,22467157,22467156,29833789,25742302,19108568,13643305,13643304,13848900,13848899,19361631,26040019,26040118,26040120,33861930,26040142,26040141,21171673,15861044,10993389,10993388,15861039,17314786,12190241,255549569,31117105,256841410,37379351,28839162,21567676,15545521,10751521,7103257,4472194,2686884,2686886,4103517,2454526,1418855,807111,457318,457322,807129,1418898,2454626,2793137,1620182,1620185,2793144,4637086,4668022,2812166,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,4635346,7338253,11066872,11066873,15947532,22050805,22067375,22045744,22045745,22063624,22060347,15956035,11073552,7342611,4637775,2793540,2793539,254522337,11073551,15956032,22040706,15938143,11070512,11064629,7336410,254762577,15944767,22047850,22040740,255070963,254521711,2790730,1619002,254234269,254521713,4632574,2790744,2790745,4632577,7333394,11059742,15938188,11078811,254762435,7335518,11063213,15942771,22045747,22045749,15942777,15938147,11073546,7342608,4637770,4637771,7342610,11073549,15956030,22060338,22040711,15938146,11059649,7333337,267972157,15938142,11059696,7333365,7333364,11059670,11059671,7333376,7333375,11059710,11072519,15938127,15938126,15943527,11063724,255071351,22040827,15938255,11074369,7343162,4638079,2793713,1620497,921561,921559,1620489,2793694,4638048,7343104,11074286,15956941,22061328,22043011,255882149,16476335,11479814,11479815,11479819,11479820,16476345,15938247,15938246,22040819,29370980,22040065,15937566,15937568,255070961,11059665,255445173,29371686,37938016,38447676,255928746,22040805,15938235,11059723,11059722,15938234,268398037,37938100,47857796,257500164,59270419,258111431,71991145,59254342,59254343,59131814,59131813,256177532,37938104,37956664,268630218,22045817,15942829,11063259,11063260,15942831,22045821,29376490,37942159,39776095,31097862,31097863,39776097,49795850,59734189,48349921,47857812,37938084,29371766,29371767,37938089,257500179,47983434,38071354,256928323,47983435,59373403,51006204,51006203,62629356,65726988,53670658,43159729,255299040,47857828,256177534,37942165,29376495,29376496,37942154,47857820,47857817,47858791,269133496,47731906,59130634,59254404,47857807,47857809,59254406,66928045,54671535,47983433,38071353,29507677,22167289,22167290,29507679,256502542,51394108,51394106,53670660,254951610,26215181,254672474,34668753,43942947,54685513,47861177,47854409,47854408,37942163,37942162,47861185,59257476,59370338,59370337,71991841,64995634,53020445,42580286,42580287,43938382,47733168,37810947,37810946,34656549,26664997,25441358,18844826,18844827,25441361,32138437,32138436,29639682,24761654,18285000,18285001,24761656,32381612,41201666,51394113,63085593,59389423,48000834,38089041,38089040,48000832,59389420,71868924,59370363,59254374,58718324,47329720,37421406,37421405,37934433,37934434,30887849,23455815,23455814,22496317,254104854,11362178,11362179,254080050,254104856,16347151,11374802,8222374,5292554,5292555,8222379,11035447,11035448,15913978,22015585,23635425,23635424,29872526,22514157,22514158,29872529,30757089,23334485,23334486,22777055,16561898,16561897,22474324,22520673,22520674,22512941,16339205,11368480,11368481,16339207,17313292,16340008,16340009,16340057,11369120,7553105,4776451,4776452,7553107,11369124,12022763,8083026,5179059,3160037,1849895,1849897,3160043,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736626,22973137,22973136,30374647,23654688,23654686,22479056,16308222,11346800,11346801,16308223,22479058,21297119,21297117,28518141,29354673,29354674,22475699,16305429,15922747,11045646,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273689,32998325,29307071,21979526,15884404,15884403,254555080,255069040,29843367,38414241,29928422,22568052,16387277,11405303,7578980,4793844,2889792,1677288,1677286,2889782,254537353,11405220,16387146,22567892,29928278,30023834,30023836,36797430,46683115,46695087,46684165,36799167,31054579,23571335,17260244,12140095,8169540,8169543,12140104,17260259,17699374,17699372,24053159,28304695,21095579,21095580,22963016,22963015,20962075,20962076,28140130,36613786,28304958,28304956,22473694,21093376,21093377,21092329,21091790,15150354,15150353,10449310,10449308,15151316,21093316,28302052,28424585,28303810,21094838,21094839,28303812,36797592,36797591,30493092,23079447,21094501,15152179,15152180,21094524,28303443,36800330,36798217,36798216,254906088,11374276,7558160,7558158,11376636,10753045,7104190,7104189,10752512,10752511,15546841,16340858,16340857,16353053,21041015,15113346,254761618,28239710,22514562,22514563,23658105,17341179,254395578,7553586,4776706,2878882,1670775,950624,950623,1670770,2878871,4776666,4776668,7553525,9966924,7554002,7554003,11010749,7547460,4773357,4773355,4596511,4596513,7289052,11010849,15884037,187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8,101941431,87968904,74366804,74366803,86547248,72947564,60207869,48810782,48810783,50110369,257499304,22903362,16672257,16672256,22903361,30302303,38888385,30302331,22903391,22903390,30302323,38888409,35209472,35209471,28722146,21465996,15465057,10693525,7064721,7064720,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7951662, s2 = 14880198, dlinesl.size( ) = 2 s1 = 7951662, s2 = 14880198, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7951662, Dl.E( ) = 26, 2.31e-05 seconds used appending s1 = 9743343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7840082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7861043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358229, s2 = 13444528, int(edited[s2]) = 0 s1 = 10358229, s2 = 13444528, d1 = 33, d2 = 58 Dl.O(d1) = 211336750 Dl.O(d2) = 60483018,73230058,86843266,84776610,84776611,98704861,259422682,115217201,259422680,73523668,73523667,87142520,101140458,115217193,129147570,126436350,126436349,139809643,271820650,113311145,99307573,99307572,113311143,127171029,129147575,142126083,128772084,114875850,114875849,126436352,112567225,98573555,98573554,112567223,126436348,127171031,113311148,99307575,85362681,269394694,59030587,71773068,85362678,99307570,270895122,98573563,112567233,126436364,139809663,152527075,154095499,154095500,272546378,164677299,175435299,176302810,165630156,153849735,153849734,165630153,273134310,273330253,185949729,263123798,184753826,261686338,152841095,152841094,164677300,272570272,154095505,165864596,154095492,141421830,261136986,141421833,128053337,270854444,86164099,86164100,100129903,114163643,128053345,126796801,112942822,112942823,259959184,140146950,126796806,112942825,112942824,126796804,260559386,164677302,165630161,153849741,141174251,127812135,113932399,99909731,260004319,127812131,141174246,153849731,165630145,175435297,164677297,154095488,141421827,128053334,272223722,165864591,165864588,154095484,154095483,165864586,176519936,185949724,193313800,262203142,175435294,184979478,193313805,194546734,194546735,194546717,273727850,186388166,177028320,166442866,166442865,177028309,166442859,154733088,154733089,166442861,177028313,186388157,194546726,201535318,207417536,211352567,265172001,216231339,212268201,207417534,201535315,201535314,207385711,212241705,264006230,201960437,207779145,207385716,207385712,201496458,201496459,207385714,212241707,216208997,216209009,216209002,212241712,207385718,201496464,194499013,186330726,186330725,186958277,193989127,193989118,193989117,201048498,263662592,186958273,186958274,195043074,201960443,201960445,201960444,264557467,216496744,219497075,219497074,216863279,274218825,219255495,215931632,211915199,206999936,201048512,193989129,263196170,176302822,185750001,263618035,193989120,185749993,176961361,166368806,154651987,154651986,142998724,142998725,153849761,141174263,127812144,127812141,261729507,262395441,262743380,165971729,176615637,273367686,176302833,262861304,167179529,262395438,185750011,176613352,176613353,186032045,193989141,186958250,185750017,185750016,193989090,185749965,185749966,193989092,186958266,186958267,193989143,185750019,176302844,176302843,261753930,141618107,128267461,114391232,260635359,128267453,114391225,114391224,128267451,141618100,154212349,141550881,128194328,114391247,114391246,127812125,260029692,128267459,128267460,271372550,100368010,258218538,72817028,86412053,86412072,100368020,259412752,114311559,100281159,100281158,100368021,100368022,113932395,99909722,99909721,99909719,85952082,72356878,59622203,59622204,258218546,72817052,86412074,86412061,72817040,60079664,48683388,257030050,48683389,60079665,72817041,85952091,85952092,99909728,98704882,84776648,84776649,98704884,98704874,84776641,71207700,58485994,58485995,59622218,59622219,60775395,71207708,71207711,58486006,47107884,47107885,58486007,59622228,48235261,38325402,29755906,22395379,16235496,16235495,268405233,37211049,28686702,21436698,15442092,15442093,21436700,28686704,37211052,39445409,39445411,49373827,60775398,60775434,49373870,39445442,30841062,23411284,17136191,12042782,8096030,5186732,5186731,8096028,12042777,255535767,30841029,39445397,48235263,59622231,72356905,85952105,73523621,60775365,49373800,39445382,39445384,30841051,23411276,23411277,30841053,39445428,257612031,60775414,73523654,87142497,73523660,60775421,49373858,39445433,39445434,49373861,60775418,49373856,49373857,60775417,73523656,84864233,71289913,58557908,58557907,71289912,84864231,87142482,73523616,73523617,87142484,84864227,84864226,98792530,112784965,113760983,99746686,99746687,113760984,259373575,72199153,59461660,59461659,72199151,259373573,99746684,85792984,85792983,72875042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358229, s2 = 13444528, dlinesl.size( ) = 24 s1 = 1107605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9204742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7562798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14846043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6428192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10978034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 477695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6461245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13171647, s2 = 11647780, int(edited[s2]) = 0 s1 = 13171647, s2 = 11647780, d1 = 42, d2 = 34 Dl.O(d1) = 8315807,11687654,11687652,11685097,7794798,7794797,11678397,11678396,16720128,16956486,267796578,254572764,16954897,16140966,11213267,7440259,254381494,5051798,7943587,11867215,7931612,5057806,5057805,7952278,6881317,6881319,6881301,6881298,7947056,5053853,3061688,3061689,5053859,7947070,7959902,5063220,5049467,5049465,5054006,5054004,7947274,11878329,254570332,11889886,7949684,5055844,3062969,3062970,5055848,7949691,254567320,7983490,5081055,5081056,7983492,11930263,16718602,11932726,11932725,17016907,22967413,16731597,11689018,11211190,11211192,7952415,5057892,3064361,3064359,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,7976273,11922083,12355732,8347895,5387973,3313178,3313179,5387975,8347902,12355737,15654332,10835460,7162568,7162569,10835466,12357923,17523364,17013535,11928261,7981676,7981677,7831325,7831324,7969109,8184842,5254406,3210983,3210984,5063054,5063056,7470484,7470485,5464468,5464466,4929426,3315716,1950503,1114280,1114278,1950496,3315700,3315734,5392196,5390740,5390741,7971292,254569866,17527089,17528102,12361940,8352925,8348041,5391184,5391183,5388895,5388896,8349292,11088036,254848644,15860954,10993334,254517309 Dl.O(d2) = 261846707,258896041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13171647, s2 = 11647780, dlinesl.size( ) = 22 s1 = 7028473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7028473, s2 = 9813334, int(edited[s2]) = 0 s1 = 7028473, s2 = 9813334, d1 = 101, d2 = 92 Dl.O(d1) = 261571892,47764918,47764917,52352983,255790270,33069249,29275887,21952146,18044091,12791099,12791098,10993558,9934596,7277487,7277488,7277446,4589502,4589501,7277442,10993453,15861132,21951752,21952038,21117140,15861167,10993475,10993476,15861168,21951805,21952008,28327205,28327202,21117163,21117120,15170751,15170750,21117119,28327147,21952095,15861358,254756775,4589548,7277519,10993585,15861365,21952107,21117157,15170768,15170767,21117153,28327191,21951775,15861146,10993462,10993463,15861150,15861249,10993522,7277478,7277479,10993489,7277458,7277457,10993486,15861195,15861322,10993561,7277509,7277510,10993481,10993479,15861176,21951815,21952012,21117170,15170776,10463061,6896976,4329428,4329427,6896971,10463052,15170763,21117146,28327183,21952091,21952090,21951987,21951989,29275709,37842253,36822770,28327171,28327170,36822763,28327166,25077420,18777437,15170744,15170743,21117113,28327092,25360059,18777425,18777424,25360058,27028785,28327156,21117130,21117131,28327158,29275649,29275647,29275656,37842378,37842261,37842260,47764943,47765141,42041514,42041513,52385584,257191164,47765089,58077696,59164038,71902174,84353704,98261090,87641186 Dl.O(d2) = 25731102,33510078,257222193,64844097,64844366,52919423,52919424,52919027,42509257,42509256,52919024,42509361,33510021,33510022,42509365,43950282,34675448,26681885,19863670,19863669,26681884,34675447,43950279,48548869,42509311,42509312,33510090,33510089,42509370,33510026,33510027,42509376,52919214,64844189,52919439,42509582,33510146,33510147,42509586,42509592,42509591,52919449,52919056,42509273,33509969,25731056,25731057,33509971,42509276,52919063,59941190,59941189,64844314,64844215,58210600,46842559,42509352,42509353,52919103,43950269,34675436,26681878,26681879,34675440,256971183,38634169,269352863,48548953,52919059,52919057,53465801,53465800,53466041,53466040,52919428,42509576,42509524,42509523,52919338,52919339,59941191,64844258,64844257,78041206,64844256,64844055,52919062,52919060,42990381,42990382,33936607,26102590,26102589,33936540,26102534,26102533,33936537,42990829,52919041,42509265,33510119,33510117,42509534,33936491,33936492,28464365,21241363,21241362,28464362,30060405,38634172,42990335,42990337,48548958,48548959,42990661,42990647,42990646,53465803,58210602,53465744,42990566,33936587,33510113,25731118,25731120,256665627,33936228,26102545,256171683,42990836,257642438,33935779,33935780,257248307,53465948,53465542,42990340,42990305,42509528,42509529,42990325,256171617,256171615,33935952,42990308,33935908,26101947,26101945,33935906,33936110,26102146,26102147,33936113,33936627,33936626,42990924,46957119,37076723,28573329,21345036,21345035,256317913,42990330,42990331,42990217,33935784,26101828,19411759,13887932,13887921,13887922,19411688,19411689,26101740,33935703,26101855,19411787,19411788,19411917,13888022,13888021,19411912,19411874,13888000,9529583,9529584,13888003,19411878,19411992,13888067,13888066,19411844,19412008,26102172,256689811,26102328,26102327,33936317,33936524,26102516,26102082,19411944,15370126,15370125,21345029,19412287,19412286,26102519,33936245,33935795,26101838,255295003,9529549,6251478,6251477,9529540,13887923,19411745,19412182,19412179,19412180,26102365,33936182,26102212,256171655,22586278,22586277,29949980,38514472,48421658,53465415,42990618,33936264,26102287,19412118,19412120,26101797,26101798,33935755,40755073,33936351,33936350,37091128,28585357,21354898,15378031,15378032,21354901,28576797,21347843,15378037,15378039,21354910,28585372,37091138,46959812,42990181,33935695,33935694,42990178,38514489,29950000,22586291,16403713,11419864,11419863,16403709,22586285,29949988,33935750,26102167,19412004,13888072,13888071,15383349,10630872,10630871,15383343,21354886,28585341,32000092,37083670,33936372,33936373,42990490,42990445,42990446,53465640,58332545,46974065,37091123,28585348,21354892,21354893,28585351,37091124,37101295,46985492,53465769,48963462,39042218,30452859,30452860,39042220,42990758,42990757,42990438,38514469,29949975,29949974,29949987,24441229,18025377,18025376,24441226,32000016,269022369,257034530,32000046,40755030,50870065,257007550,53465616,62468297,50870032,40755000,32000020,32000021,257118233,62468299,71059422,58343213,46974058,256857650,71059425,59807460,58088263,58088262,70805013,65486486,65486487,65486481,53465629,42990431,33936039,33936038,42990428,53465624,65486475,65486496,65486533,257709046,62468334,50870069,50870070,62468336,75384340,75384303,75384305,269311210,50870127,62468285,62468284,75384301,71059432,71059430,257588320,85674698,85674697,85674702,72088371,59355026,59355025,59521916,258753233,84622942,72197708,59460304,257716869,269442407,75676000,258862294,85657528,98272003,98272002,98571735,84648380,84648382,85846923,84363580,81294604,67828806,59460262,48134829,38224764,29658630,29658629,33066460,33066461,42010630,49790265,39770507,39770506,49790261,59460295,48069673,48069671,59460290,72088363,59355017,47964036,38050900,38050901,46905862,46905861,48069685,38157210,38157209,48069662,38157203,29591038,29591036,38029667,29467107,29467108,38029671,47943654,59335668,72070225,70985600,58271126,46905951,46905950,58271123,70985597,76455824,67828811,55487669,55487666,67828808,59521892,55487683,44637682,35253144,27154257,27154258,35253145,38224774,38224776,38224790,29658640,29658639,27120428,20217129,20217132,27120434,35212719,35322838,29487354,22149123,22149121,17849117,17849116,24219405,31726051,37028745,37028747,33249966,33249967,42212040,52572776,46905913,37028785,28530776,21308293,15338506,10594147,6988949,6988950,10594150,15338509,21308272,21308270,27215297,255341221,10016730,6583711,4125047,2467746,1426438,1426437,2467740,4125028,6583677,10016667,14556765,20286692,17576843,12405004,12405005,12068585,12068584,12410877,11169023,8373900,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,12393783,17548011,17547993,17547992,17554115,12383642,8368147,5400782,5400781,8368146,12383639,17554112,17579844,23921177,255820380,23915771,23895639,17549775,12379528,254331484,15292037,15292036,12390966,12390965,12407774,10950015,10950017,15802899,13180705,13180706,18550718,17550466,12380158,12380156,8601940,8383022,5409715,5409714,8383017,7679885,7679886,7787342,4937083,4937082,4859710,4859711,7680378,11544305,16561701,15488209,10710327,10710325,15488204,17574097,14593417,10041713,254476779 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7842115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7902631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 142148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7820319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7877549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7877549, s2 = 7864569, int(edited[s2]) = 0 s1 = 7877549, s2 = 7864569, d1 = 10, d2 = 3 Dl.O(d1) = 8951859,8950567,8950568,7450063,4707148,2835656,1645055,1645056,2835658,2812166,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,4631747,4034261,2417632,1399521,1399522,2417636,4034270,6430529,7333179,11059402,15199920,11062771,9611470,6313099,6313098,7333086,4632390,4632389,254762155,7340727,254349031,1620085,1620086,2792959,4636735,7340731,255072179,11068392,11057524,7332075,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,4633770,4633769,7335613,7343784,4638446,254522405,11075261,15958131,22062587,29385271,29393873,29384526,29384527,23201473,255411618,29401526,22071056,15966116,15966115,22071054,29373607,22042705,15940062,15940064,11061037,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921459,22070744,22070742 Dl.O(d2) = 9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1642419,2830859,2810605,1630524,1630527,2810613,4665168,7384242,11132413,16032901,22152947,256385005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7877549, s2 = 7864569, dlinesl.size( ) = 2 s1 = 7877549, s2 = 7864569, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7877549, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 9817159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161075, s2 = 7813340, int(edited[s2]) = 0 s1 = 14161075, s2 = 7813340, d1 = 40, d2 = 26 Dl.O(d1) = 270279982,15796622,15796621,255867621,37742252,37744740,47666596,59066467,49041261,47666254,37744377,29183486,29183484,35026706,29185416,21874152,21874153,22841644,20060513,14375956,254752990,4566939,2746695,1591991,905075,510459,286147,158138,86911,47792,26693,15104,8452,4579,2401,2400,4578,8450,15100,26684,47774,86881,158083,286037,510224,904639,1591202,1592276,1592277,2745468,2745467,4564982,4467386,254504209,254753145,15800284,21875393,29187015,37748125,257437154,37058018,259295317,78896617,91695228,77767681,269652774,64584691,64584690,77767690,81038863,67569966,67569913,55226738,55226737,67569911,81038810,81038974,95097350,95097351,81038823,258185140,44375906,34997589,34997588,44375904,55226728,67569902,81038801,68099930,55702267,55702265,68099924,81589655,72701034,72701033,83839379,83839360,70314470,70314471,68099799,55702156,44794583,44794582,46278096,36425354,27966797,27966799,36425362,46278107,44794690,35369965,27245884,20314223,14578482,14578481,20314219,27245876,32793228,25094280,25094281,27245903,35369995,44794744,55702396,68100096,70312906,67606695,67606696,67569921,67569920,57660248,46315973,46315974,55226733,63836050,63836051,76943190,68099919,68099920,70312908,68100070,55702370,55702371,68100073,70312916,77767680,68099809,55702164,44794589,35369898,27245843,27245841,35369892,44794578,55702149,68099792,76942077,88257136,74626756,61834556,258906219,97734243,111655171,260467190,102255648,102255647,88257384,88257231,74626855,61834641,61834640,52021441,41710644,41710643,50350522,61834511,58069655,48161043,48161045,46697372,36814492,36814491,46697367,58069608,49922243,49922244,49922252,61402000,269772501,58069603,70787014,61401982,49922238,39902634,39902635,49922239,61401983,74182045,74293350,87896476,91537262,77607252,64438266,52563106,42203128,33242073,33242074,33242109,42203189,52563180,52563101,52563100,64438262,52563206,52288316,52288317,64140313,77289283,64140381,64140378,77289335,64439573,64439572,64439405,52564123,52564124,52564352,42203983,42203985,33242696,25492512,25492514,33242700,33242722,42204197,42204150,42204147,52563950,59745480,48362175,48362176,52564511,59745658,48362318,48362319,59745547,48362241,48362242,48362414,38460821,38460820,257537147,72480655,64439550,64439524,257202757,33242547,33242546,42203919,52564244,64439520,72480831,72480830,258770226,72480510,72480593,59745691,59745692,72480598,86078389,72480666,59745785,48362425,38460826,38460827,48362429,59547795,59547796,48362474,48362475,59745857,63833581,52762831,42363305,42363304,42203116,33242068,33242067,42203111,52563085,47917471,38001672,29438692,22105547,22105549,23603247,23603246,31087547,39765990,39766058,31087754,31087755,32793337,41709476,52020081,58667541,47275919,37365922,28825690,28825689,37365917,31087799,23603384,23603386,23603356,17290529,12169496,12169495,17290514,23603323,31087674,39766178,39766112,257631199,48571001,48571003,59963163,48571405,256429341,30078566,38655514,48571408,39766091,39766092,31865866,24343311,17952475,12721700,12721699,17952474,24343309,24343137,24343136,31865618,40567288,40567287,50608624,50608623,47833435,37911633,37911632,47833432,47833588,37911812,32793040,32793041,41708994,50608762,50608761,50608769,47833360,47833354,47833549,257812295,33491201,256664655,42487486,33491314,25715830,19087288,19087053,19087054,25715457,33490689,42486598,33490643,33490644,33491250,33491455,25715929,25715932,19087415,19087416,25716070,33491649,42487061,42486653,33490683,33490684,33491484,42487448,33491278,25715809,25715734,19087223,13627461,9331503,9331475,9331476,13627414,9331534,6112468,6112467,9331532,13627527,19087331,25715914,33491010,33491011,42487109,52893538,42487793,42487792,52894119,50349883,50349884,50350014,49873014,49873013,61354633,55422907,55422906 Dl.O(d2) = 21462198,27989919,22368274,22368273,22368552,22368553,26983304,22958617,16722742,16722741,18712711,13319342,13319343,18712719,20338085,22963318,19176767,19176764,25263269,18691885,18691884,25263263,29546413,22202904,22202905,16214026,11271134,11271133,16214021,22241716,22241715,29589981,29629188,22277360,16134428,16134427,22277357,27989621,27989622,33010201,28898052,28898053,22368566,16214178,11271207,7482071,4728400,2848806,2848805,4728394,7482062,11271189,16214137,22368501,29724949,33002157,41944040,37444485,28905129,21630826,21630825,28905123,37444474,29629159,29629158,32992222,33106022,33106024,29725034,22368527,22368528,22958600,16722731,11681103,7789273,7789272,11681100,16722726,22722919,22368406,16214069,11271157,11271156,16214064,22368394,24291992,25371083,25371084,33106070,29724985,29629168,29629169,22368355,16214045,11271146,7482044,7482046,11271152,16214058,16214142,22368495,20831667,14933272,10269941,10269943,14933278,20831675,27995932,36454374,38156598,38156597,38196175,32992215,25371036,25371037,25371041,22368538,16214161,11271198,8619401,8619400,12688669,16214113,16214115,22241842,29590119,29724919,22368418,16214077,11271160,11271161,16214081,11681081,7789264,7789262,11681073,16722688,22958552,29590392,25371152,18786870,13381050,13381047,16214037,16214053,16214052,22368375,25371125,25371124,22241829,16105608,16105605,18786730,13380970,13380971,18786738,25370975,22242223,22242225,25371050,18786787,13380997,13380996,18786785,13381071,12688646,8619391,5603653,5603654,8619394,12688658,16105617,16105618,18786718,13380965,9146335,9146334,13380962,18786708,25370940,33105953,30359975,25285332,25285333,30359932,30359933,25371167,25371168,33106131,42055255,52399264,52399255,42055227,33106075,33106076,38156500,29590365,22242099,16105801,16105804,22242109,29590378,29590436,24291970,17910171,17111666,17111665,23382101,256483839,29590496,29590414,22242156,16105842,11187198,11187199,16105846,11187270,7422984,4690760,2826439,1639878,1639875,2826429,4690740,7422941,11187222,12025006,16105884,17111724,22241395,17111668,17111669,16105772,11187164,11187163,16105797,22242090,29589719,23382093,17111654,17111653,22241593,16105438,11186932,11186838,11186839,11187096,11187094,16105691,16105380,11186923,7422775,4690658,2826388,1639856,932482,932480,1055930,593706,593704,1055923,1850189,3160539,5179938,8084421,8084294,5179860,4690750,4690752,7422957,11187182,11187208,11187207,12024999,12025000,17111817,22241404,16105272,16105273,11187084,11187082,7422905,7422906,11187156,16105786,22242067,26221310,22241586,22241584,23382306,22241422,16105285,16105284,16105290,16105687,16105686,17111618,12024874,8084348,5179889,5179890,7422772,11186909,11186849,7422734,7422733,8084439,12024958,8084399,8084400,8084426,12024991,12024792,8084306,5179865,3160501,3160503,5179872,8084320,12024818,17111524,22242177,23381952,17111551,17111550,22241351,22241353,22241376,16105253,11186815,11186816,16105259,22241380,23382318,17111888,12025058,8084458,8084459,12025061,17111894,23382328,23381862,17111470,17111471,17111631,12024884,8084355,5179893,5179896,8084361,12024890,8084437,8084435,12025011,17111829,19054381,13602553,13602554,17111806,17111807,23381850,30810382,25676339,25676340,33446729,25675935,25675936,27205249,35330575,31522135,31522136,39415599,39415598,39415719,33446953,25676084,19054310,13602511,9314249,9314250,9314236,6101455,6101456,9314240,13602486,9314288,9314289,13602606,19054396,13602559,13602560,19054401,25676184,25676403,23381824,23381826,30810366,38251753,29686574,22334250,22334249,29686570,30810470,30810469,30810495,30810494,30810423,30810424,23638258,23638257,31124133,39804272,33446752,33446751,42439835,44758594,40208241,40208240,40208601,49345370,39415761,30810553,30810552,25676054,19054284,13602496,9314244,9314245,13602502,19054293,25675970,33446784,25676303,19054478,19054479,25676309,33446962,42440031,40308123,33446809,25675990,25675991,33446814,37839858,29273569,29273570,29273615,33446832,29273636,21950381,21950382,29273642,37839963,47762322,39415910,39415909,42440191,33447137,33447135,42440182,47991324,38078586,38078584,47453639,37545652,37545651,47453635,50334244,40308234,31619889,31619890,40308241,50334254,46755860,46755862,257666256,50334352,61817677,61817676,74609796,269000242,72113893,61817750,50334358,50334356,40308355,31619963,24114596,17753623,17753622,24114593,31619959,40308351,39745779,39745781,48097961,38186462,29619513,22268598,16127600,11203385,7433887,7433886,11203381,16127593,22268586,29619498,38156401,38156404,38186257,47991776,38186526,29619552,22268617,22268618,29619558,38186412,38186411,31620007,24114623,24114624,29619537,38186506,29619568,29619566,38186451,38186200,38186198,38186745,38078846,38078847,29619712,22268697,16127639,11203397,11203399,16127646,22268711,22268723,16127651,16127652,16127663,11203406,11203407,16048463,22172668,29514231,22268553,16127572,11203373,11203372,16127566,256395553,48097791,59486562,59486926,48098310,38186746,256937635,38186302,48097773,257083632,44574242,44574243,4809827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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161075, s2 = 7813340, dlinesl.size( ) = 2 s1 = 14161075, s2 = 7813340, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14161075, Dl.E( ) = 42, 2.91e-05 seconds used appending s1 = 211268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 298746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 298746, s2 = 8084020, int(edited[s2]) = 0 s1 = 298746, s2 = 8084020, d1 = 0, d2 = 34 Dl.O(d1) = 7404543 Dl.O(d2) = 100648905,86675793,258187983,60330299,48932375,48932374,48932373,48932372,256237382,23014625,16774834,16774835,16774867,16774868,23014657,30419593,39008838,39008860,30419612,23014685,16774906,11728425,7830072,4970224,4970223,267984865,7830044,254807563,16774885,23014667,255510995,16774879,16774880,23014663,16774894,16774895,23014677,23014850,30419609,255510967,11728411,7830060,7829961,7829962,11728297,16774754,23014522,23014481,268097213,11728189,16774697,11728369,254555003,4970197,7830019,7830128,4970267,3002117,3002118,4970342,7830121,11728469,11728471,11728561,16774909,267984871,7830166,7830188,4970318,4970317,7830185,11728523,7830192,4970320,4970321,7830195,11728532,16775010,23014500,16774733,254807549,7829902,11728224,16774735,23014502,30419464,256455481,268238297,16774897,23014679,255127433,11728524,16774875,11728389,11728390,11728230,7829906,4970108,3001947,1743366,990609,557178,557177,990607,1743359,3001936,4970094,7829895,255127403,23014492,23014493,16774729,11728220,7829898,4970099,3001940,1743363,1743362,3001938,4970096,7829897,11728218,16774727,16774724,11728214,7829891,4970092,4970090,7829888,11728210,11729648,11729646,11729659,11729658,16776558,270400404,255510949,7830094,7830095,11728308,255510959,11729618,7830874,7830876,11729620,7830908,4970731,3002329,3002331,4970719,7830889,11729649,11728247,11728248,11728144,7829826,267834961,254371099,7829823,11728143,255510951,30419423,28288498,21082316,15143431,10444198,6885086,5687025,3537814,3537815,5687028,7830937,4970744,4970743,7830934,11728623,7830251,7830250,11728620,11728593,11728594,15143425,15143426,21082314,23014871,22204144,22204145,29547764,29547770,22204150,22204149,23014694,23014696,24552492,24552491,23016849,268272663,12845633,8735427,5687033,5687036,8735432,12845637,255612329,32133497,30419803,23014909,16775129,11728647,7830271,4970373,3002135,1743495,990690,557225,557223,990687,1743492,3002127,4970361,4970347,4970345,7830233,11728591,12845600,18115689,24552490,18115667,12845574,8735387,8735388,12845576,18115672,23016948,30422290,23016954,16776692,16776693,23016956,22004342,255879169,37904310,30419785,23014881,255455591,11162339,7404087,4677504,2817936,1743493,1743494,3002132,4970350,4970349,7830240,11728597,16775076,18115763,12845682,8735465,8735464,11162337,11162335,16074581,12845592,8735397,5687011,3537807,3537808,5687015,8735401,7830945,4970750,3002340,3002341,4970753,7830950,8074964,12016063,255442393,24552546,18115759,18115760,16775095,11728613,11728614,15903682,16775085,12845667,8735454,5687051,3537826,3537825,5687048,5687071,4970368,4970362,4970363,5687059,267920191,12845694,18115773,16776690,16776689,15903697,15903696,22004350,22004343,17075499,14518375,14518371,14518362,14518363,14518368,268177407,11729727,7830943,7830942,7905089,8074961,11162238,11025374,7299672,7299671,11025373,15903712,16544240,16775090,268125921,8735481,5687065,5687064,8735451,12845663,16775124,11728641,7830264,7830263,11728636,16775115,22204154,24297103,17914580,17914579,24297102,29335534,29335533,35235184,27139805,20232351,14518379,9990010,6565779,6565777,9990006,11162257,11162258,16074471,16074432,11162218,7404012,7404013,7404038,11162256,11025391,7299679,4604306,2770780,2770779,4604302,7299675,11025377,11163287,11163288,16076088,18115776,12845700,8735474,8735475,12845702,12845686,8735471,8735472,12845690,18115771,24297110,17914585,12692199,8622213,254422589,3480875,5605826,8622206,12692187,17914571,24297098,29335559,22204289,16074491,11162271,7404043,4677483,2817923,1634806,929667,929666,1634800,2817913,4677463,7404009,11162216,15618857,10806561,10806560,15618854,21653372,28930657,36845215,28347820,21134708,21134709,18814561,13403641,9163793,9163792,13403638,17308922,12185202,8215934,8215931,9887173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 298746, s2 = 8084020, dlinesl.size( ) = 2 s1 = 298746, s2 = 8084020, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 298746, Dl.E( ) = 42, 1.72e-05 seconds used appending s1 = 8029459, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11019374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7911036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14031623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14031623, s2 = 14037976, int(edited[s2]) = 0 s1 = 14031623, s2 = 14037976, d1 = 13, d2 = 16 Dl.O(d1) = 11247809,11241737,7461720,267975279,7465852,11247272,11247821,11247819,11726381,7828511,7828512,11726384,16772672,254776618,11247950,16182065,15419245,10658938,10658939,15419248,16174631,16174630,16772592,16772591,23012342,23011616,16771901,11725807,11725808,16176613,11243613,11243614,16176615,22321946,22131168,16016229,11120523,7376106,4659963,4659962,7376105,11120521,16016226,22131166,255091947,267891897,4738825,267976227,16240887,22402915,255857329,15680444,10855565,10855563,15680439,256294674,6986573,4390116,254497697,255028861,21303384,28525081,21986046,15889748,11015024,7291847,4598259,4598260,7132122,4490134,4490137,7132136,10794843,10711765,7076620,5355677,3291711,3291713,5355660,7509763,4746938,2860748,1660311,944728,944730,1660315,254356399,7509792,11311088,11171063,11171064,16085005,22216638,16987738,16987733,15818838,10962646,10962647,13500658,13500657,17433955,12288177,12288179,17433959,17430301,17430300,17393459,255146468,17301406,12179455,8211386,8211387,12179457,15921073,15921074,22022199,29353438,22022234,15921111,11043701,7318430,4620297,2782120,1613812,1613813,2782122,4620299,7318433,11043707,15921124,17430394,17430306,17339871,12213704,8244154,8244155,12213706,15920540,20966976,16076145,16076144,11722265,11722264,7907006,5026102,3042224,3042223,5026100,7907003,8242420,5314269,3263642,3263643,3187083,3187084,5224445,8153517,12121526,17238179,15508004,10725261,10725260,8245067,5316810,5316809,8245065,255162169,10019741,6585607,4126101,4126100,6585586,6585585,10019695,14561076,20291833,14926842,10264245,6744673,6744674,9098416,13317945,13347200,9714702,9714701,14120431,13587192,13587193,19008639,19008640,16999973,11913676,7969382,7969383,11913679,16999979,23263483,22106640,15995395,11103988,11103987,10396629,10396628,15073650,16958322,15046238,10373447,8159261,5230218,5230217,8159225,8159226,12127513,17245106,17751251,15593403,10787227,10787228,15593406,16548335,16548334,14600637,10046577,9090094,9090095,13308739,11954960,11539157,7676820,4857532,2927288,2927287,4857527,6883553,10441587,11954877,14968047,10790272,10790271,10392082,10392080,12339734,8336455,8336456,12339737,17500364,20342656,254640752,10264331,10264330,9497651,9497652,13845475,19357573,22766365 Dl.O(d2) = 256435015,37262861,47168725,58557644,65184561,257422782,42750811,33721721,255693907,6177021,6177020,4904004,2955825,1713941,973890,973891,1713943,2955830,254549471,5869260,5869261,8989678,11625816,11625817,12629551,8574926,8574925,8574942,8574941,12115465,8146158,5218473,3183319,1863030,1062964,597528,597529,1062968,1863042,3183331,5218498,8146285,10427551,12629698,8575032,8575031,6279597,3932054,2354026,1363582,254210335,3932043,6279582,8989464,13187224,18558474,25107860,30284822,25467336,18867143,13942468,9569701,6279642,6279640,9569696,13942462,13942453,13942454,19482885,13942555,12115726,8574949,8574950,12629579,17835340,17234440,12115521,8146191,5218445,5218446,8146195,12115528,17234453,13445870,13445869,13445881,12115641,8146278,8146277,8146318,8146317,8574962,5869241,5869245,8989648,8989660,8989659,13187300,8989668,5869257,5869131,5869132,8989475,8574879,5570841,5570842,8574880,12629487,13187305,8989529,254907045,9194203,13445525,9195432,9195433,13447069,18870891,18871096,13447252,13447251,13443841,9193076,9193075,9195462,6020063,3766014,254204751,1309556,254299961,6020066,9195468,13447104,254922741,3766196,3766197,6020328,9194689,9194688,13446051,18869283,18866664,13443492,13443490,18866661,13447458,13447459,18871304,25471565,18871298,13447452,13447451,18867361,13444170,13444171,18867367,18871263,18867161,13443998,13443999,18867167,25467363,25467478,25467477,25471140,25467540,18867389,13444185,13444186,18867392,25467546,25471097,18870763,18866965,15185002,10474286,10474284,15185000,21134674,28347786,25404124,18814440,13403547,9163729,9163728,13403544,13403222,13403221,18814080,15990895,15990896,21134716,21134717,26950316,25471427,25467349,25467348,25467494,25467495,33214804,33217909,33144283,25404237,23558115,23558116,18867237,18867238,254922517,6018638,6018637,9193309,12185187,255161125,23624398,31110728,256561668,27981742,23624408,23624407,31040152,25404108,20065445,14381359,9887063,6496341,6496340,9887059,14381352,20065435,25404257,18814574,13403651,9163809,5997623,5997626,9163815,13403661,14381528,14381527,18814325,18814562,25404242,25404273,27188117,20264283,14539188,10003345,6573834,6573835,10003351,254591614,18814958,18814970,13403902,13403900,14381576,9887213,6496432,6496434,9887215,14381580,9887238,9887239,14381619,20065767,15956169,11073687,7342713,7342712,254763863,4641029,4641028,7347992,11081213,255445143,15937821,15959426,11076402,255072847,15964270,15955584,15954507,15947685,11067024,7338147,7338145,11067020,15947674,15946305,11065795,7337258,7337257,7342237,11073062,11275612,7484914,4730052,4730049,7484907,11060220,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921459,22070744,22070742,29401218,37940717,37940718,29391370,22060859,22060861,15956516,15956515,15956304,15956306,22060627,29390853,29392851,29392850,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974310,29301577,37871156,29402887,29302295,21974981,15880675,11008516,11008517,15880680,21974989,29302304,37871753,37872315,29302976,21975628,15881159,15880671,15880670,21974974,29302288,33299344,33299345,32746147,25055045,18517400,13156751,13156752,13063763,254762351,2791102,2791103,4633241,7334681,11061945,15941357,22044267,20895680,20895682,15880201,254757745,4595613,4595614,6046178,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574558,11206189,7435599,4698494,4698496,7435608,11206139,11206137,16131640,22065512,21193691,21193688,16131287,11205912,7435457,4698425,2830751,1642359,933895,526322,294922,294920,526300,933845,1642265,2830592,4698077,7434727,7434730,11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,11206531,11206533,13485876,13485877,15816524,10961005,7255365,4595979,4595980,7288125,11009522,15882303,19854143,19854142,26670751,29381725,25564863,25564864,22415253,16250375,11297698,7500777,4741336,4741337,7500780,7866608,7435261,4698314,254236771,1642331,2830700,267890747,11205597,13966278,9589729,7782215,7782213,254964850,22951847,22456176,22456175,22342520,16193755,11256861,7472894,4722711,4722710,7472893,11256859,16193752,22342519,29696124,29695375,22341878,255088735,7472712,7472713,11256587,15231963,10507441,10507442,6928853,6928852,10507506,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193248,11256558,7472699,4722605,2845387,2845380,2845365,1650785,1650783,2845359,2845417,2845423,4722672,7472822,11256771,15583601,13142881,13142879,16193336,11256597,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196044,28418288,36916150,38261185,268923772,29695666,30624876,30624875,39222620,38293706,29726784,29726785,38260978,29695146,22341704,22341706,29695149,38260909,29695088,22341657,16193099,16193100,22341661,29695095,38260917,48170537,59557275,72291570,72291671,59557830,48284593,38373804,38260959,29695317,29695319,38261176,38261328,38261327,48170955,38261722,38261723,48171307,59557534,48170889,48170887,48170996,59557313,59557488,48170834,48170833,48170578,48170577,48170778,38261676,29695761,23590516,23590514,31073808,39751472,39751479,44613615,44613591,44613590,38260901,38260899,48170527,47357791,37451256,28911633,28911634,37451260,47357838,39223866,39223864,35232172,35232171,44613481,47792397,37867936,29298729,29298730,37867942,47792409,55462251,59671760,48284535,38373753,38373752,48284531,55462167,54697131,54697132,55462089,44613468,44613470,43953388,34678734,26685010,19866447,14233395,14233396,19866454,26685024,34678752,43953426,44613631,44605590,35224770,35224769,44605589,55454230,67796319,67803737,55462276,44613664,35232284,35232285,44613669,37699389,37420158,28878530,28878452,27137473,20230637,14517147,9989192,9989191,14517146,20230631,27137465,35232206,40467916,40467917,50503793,52038933,47792380,39390605,30788163,23362651,17093759,17093758,23362647,30788156,39390594,30868248,30868247,39471682,38323989,34319648,29815140,29815139,38387807,48298139,59589442,48202992,38293641,38293640,37045410,37045409,44421523,44421524,47623418,41100984,32291660,32291661,25101621,25101622,21603224,15575434,10774110,10774111,10916628,15762879,21831275,29138656,21831280,21831279,29138660,28953088,28953087,30788177,30788201,30788202,29140106,29140108,37700917,40517532,40517533,37699430,32803599,32803598,32803552,25101682,25101683,30788167,29138624,21831267,21831268,29138642,37495724,37495723,37699614,38153279,29587086,28878429,24013821,17666060,12492296,8461051,7219720,4548823,4548824,7219727,10916661,15762922,21831329,29138720,31820848,36878811,28382499,28382498,29587064,29587081,29587082,37495685,28953101,21672813,21672811,28953095,21672826,21672827,21832547,21832548,28878512,24304489,24304491,24304499,31820859,32803562,25101672,18553221,18553222,25101675,21831260,15762867,15762864,21831251,29097826,29097823,29138544,28382646,21165032,21165030,28382635,36878967,36878987,28382655,21165039,15208340,255056644,21165017,21165021,28382625,21672803,15635401,15635400,15762841,21831209,21831381,15762961,15762958,17666033,12492283,12492280,17666020,22239193,254512374,254750266,47403495,46793349,46793350,37495751,28953156,28953157,23200811,16931447,11850057,11850058,16931454,23200825,24013757,31514603,29139881,21832351,21832348,29139876,32470080,29139779,21832241,21832242,27240455,27240454,35363853,37700164,47623289,59026330,255864370,55695365,55695363,44788171,42164847,33204674,33204673,42164843,43840410,37698820,37698817,255864340,47622767,47622770,59025930,71769269,71520532,71520533,60423901,49020042,255429392,30493467,39090244,43840491,34568764,26582207,19778862,19778863,26582209,34568769,37701879,47624854,55693994,44786806,35362703,35362701,44786802,44786605,44786606,47623666,37700679,29139919,21832384,21832382,29139914,35362697,43840483,43840484,54585244,63253236,68091598,55693788,256764505,27239378,27239400,27239399,35362422,27239517,20309078,20309079,27239521,35362603,35362464,27239424,20309024,14574602,14574601,14167219,9739731,9739732,6591140,4129285,2470101,2470100,4129280,6591131,10028980,14574634,20309066,27239454,20309039,20309040,27239265,35362247,44786371,54585179,54584877,54584878,43840851,34569056,26582404,26582403,34569054,34568585,34568583,43840282,43840034,35362648,27239551,20309092,20309093,27239556,35362657,34568803,34568802,43840020,34568373,26581998,26581999,34568375,34568321,34568316,34569024,34569025,34568445,34568447,43840119,54584992,54585287,44786401,35362322,35362323,44786453,43840129,34568455,34568453,27126829,27126827,35220373,34568638,34568637,43840351,54585159,44786409,35362294,34568955,34568954,34568537,26582080,26582078,34568441,34568931,26582502,26582503,34569221,43840633,43840631,257536422,55449961,44600751,44600750,44600719,35219873,27126498,20221812,20221813,27126502,35219887,44600740,55449935,63253164,51536488,51536490,55450053,44600817,43840776,43840777,54585487,59736353,48352611,48352612,39221224,255411596,23201661,30623799,27126454,27126456,27126464,27126463,35219828,44600657,54585624,54585145,44601281,35220300,27126780,27126781,35220303,44601285,54585006,43840143,34568463,34568462,43840138,35220495,35220494,44601409,44600798,44600797,55450035,44601319,35220335,35220334,43840681,44601115,35220165,35220162,35220268,35220266,44601236,55449974,55449973,59736383,72471731,59736412,48352701,38450729,38450728,48352693,43840718,34568951,29893840,22538774,16364138,11387945,7565640,7565639,11387938,16364123,22538743,29893767,35220531,27126941,20222056,20222057,27126944,20222095,20222096,256230293,27126700,28813079,28813078,35220205,35220206,44601183,55450301,55450298,58652999,47261196,37351760,28813073,28813074,37351764,30833643,23404870,23404869,30833640,39437660,39437760,47759105,47759104,43862028,43862029,39437129,37351659,37351656,37351754,28813061,21545057,21545056,28813055,24744904,24744903,32361342,41177212,38487290,38487291,48390456,59773541,48390479,47047206,37156381,37156383,47047215,47261121,47261122,58652934,71190793,59773565,55450519,55450518,55450553,58652868,58652955,47261144,37351680,28813001,28813000,37351672,47091059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14031623, s2 = 14037976, dlinesl.size( ) = 14 s1 = 14134419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8172126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7958972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9800311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 304977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 304977, s2 = 9804560, int(edited[s2]) = 0 s1 = 304977, s2 = 9804560, d1 = 0, d2 = 27 Dl.O(d1) = 7569608,4787112,2885346,1674550,952671,254168151,2885347,4787114 Dl.O(d2) = 85486399,99427959,113430035,260079703,101083732,115160509,129091380,142468384,129091393,115160525,115160524,129091392,129091414,115160541,101083761,101083762,115160543,129091415,115160564,101083781,87087066,87087039,87087041,101083741,115160519,101083742,101083743,260678443,101083754,258838573,73469289,87087054,101083760,115160536,129091406,142468382,147241036,260885265,120190777,134024150,142468434,129091436,115160557,115160556,129091433,115160562,101083778,87087064,73469294,60721029,60721028,270358763,101083756,101083755,115160534,129091387,115160516,115160517,129091389,134024149,147241034,159596390,155112909,155112908,261409196,129091454,261771200,87087062,87087061,101083772,115160553,115632760,259431810,147241025,134024140,120190766,105990231,91795512,91795511,105990230,260885263,142468395,142468396,142468412,261798975,155112930,155112929,260648768,115160554,115160555,129091431,142218818,128860570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 304977, s2 = 9804560, dlinesl.size( ) = 2 s1 = 304977, s2 = 9804560, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 304977, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 14157937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352580, s2 = 9070820, int(edited[s2]) = 0 s1 = 10352580, s2 = 9070820, d1 = 0, d2 = 20 Dl.O(d1) = 71091430,84653848,257712302,126392068,126392067 Dl.O(d2) = 117588397,131388424,140063048,126716026,112864795,98877510,98877509,87757462,74153302,61373049,49892635,39870502,38152425,38152426,41220378,38452085,29894972,29892809,22537910,16363463,11388321,11388322,16364660,15761853,15761854,16142262,14172396,9743127,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792695,792693,1393833,2408728,4019699,6407200,9743953,6408749,4020587,2409206,2409207,4020592,6408758,9746466,14177426,10041932,6599250,6599249,9112445,9112446,13337039,18734828,25311612,33039162,26594578,19789176,14174723,9744725,267890742,6581731,4123674,4123675,6581735,10014111,14553702,20283403,23752377,31235525,39911131,35334429,27209768,20281589,255758545,256762473,38191606,38191605,39202427,257013059,30605564,256468493,49129251,44775105,35350485,35333981,31626020,24120630,24120631,20283534,20283535,25462797,33210631,39909842,31233696,23750369,17424771,268253611,255446880,22552830,22552874,22552872,27227619,23187245,22074809,16122111,11199278,7431050,7431051,11199280,16122118,22262405,29613185,38180081,48091719,47266508,37356662,28817172,21548210,15530228,255127807,11732773,16602365,22822535,27208223,20280109,14551337,14551338,20280114,15618908,14553954,14553949,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,10012785,10012703,10012702,11075087,255072701,22062294,21206451,15240237,10513338,6932776,6932777,10513342,15240249,21206462,28430232,28430231,27210487,20282251,14552875,14552874,20282244,20785223,14897300,268195431,17424201,16602045,16602044,22822131,19797151,17023168,17023166,23282355,27157861,20246217,14528390,14528392,20246221,20246143,18130633,12856008,12856006,18130629,24572052,32156133,27208285,26038898,19360886,13848366,9500016,9500017,13848371,19360895,26038911,31539153,31539152,30217176,22824802,16604092,16604091,22824798,27158433,20246668,14528688,14528686,20246662,16878640,16878639,17124738,17124739,21956564,15864628,10995766,7278968,4590600,4590599,7278965,10995754,10995777,15864650,21956593,29280695,29280696,28810338,22823630,16603173,11579609,11579610,16603176,254763058,255206552,23596117,17283812,17283811,23596115,31079392,29756865,22396238,16236074,11287859,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,1487607,841718,474705,474706,841723,1487619,2582081,4317328,4221557,4221559,6737471,6737469,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,21755054,21052270,15121675,15121672,21052261,24513196,22231831,22231829,21056137,21056135,21054759,21050695,15120532,15120534,10431244,10431242,15123530,21054773,21050439,15120323,15120322,15119445,10428646,6875576,6875574,6877665,6877664,254327635,1487635,1487634,2582114,4317403,6877887,10432663,15125585,21048235,21048234,27970072,20807015,14912038,10253533,10253534,254995789,6737288,10253329,7495471,7495470,11289471,16238565,22399816,255215737,8715384,5673341,3528854,3528855,5673344,8715387,12818287,255609283,16578722,11559231,7692452,4867981,2933392,2933391,4867978,5416928,3330027,3330029,5416931,8394032,7598937,7598938,11415683,7586710,254251594,7738407,7732549,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897418,2897419,4807473,2951837,2951838,4897831,7735836,7611436,4815443,2901944,2901943,4815440,7611023,4892456,3590266,2140487,1236036,1236037,2140492,3590273,5764173,7605751,7605752,10348947,7605761,7605759,10348179,7602008,7602006,11433884,16417889,16647562,11615520,11615519,10701376,10701377,11428658,11428659,11439709,7606991,7606992,7607323,4812754,4812753,7329109,4629860,4629862,2789204,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453063,799320,1404458,2427770,4055943,6472217,8846431,5765456,3591118,2141051,1236409,1236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Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13277199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7812701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9743829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14119163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119163, s2 = 4455982, int(edited[s2]) = 0 s1 = 14119163, s2 = 4455982, d1 = 9, d2 = 14 Dl.O(d1) = 165080773 Dl.O(d2) = 193618306,200726097,206723598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119163, s2 = 4455982, dlinesl.size( ) = 2 s1 = 14119163, s2 = 4455982, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14119163, Dl.E( ) = 28, 1.5e-05 seconds used appending s1 = 9807133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9149156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6465768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6465768, s2 = 2653549, int(edited[s2]) = 0 s1 = 6465768, s2 = 2653549, d1 = 5, d2 = 26 Dl.O(d1) = 254821221 Dl.O(d2) = 10850326,10850324,15673296,21717017,21746903,21746902,29039139,30305869,22906680,22906683,22906706,16674967,11639304,7754299,7754300,11639307,16674972,22906718,21732846,15684838,10858227,7178615,7178614,7178583,7178585,10858181,15684767,21732736,21732528,21732527,29021594,24233526,17859699,17859697,24233519,31743505,30307207,30307208,31739041,31739042,31750122,24238798,21733436,15685261,15685262,15689150,15689152,21731314,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,23202385,21740765,21740766,29032065,37579338,47484838,38892573,38892572,30306999,22907728,22907729,30307003,30306419,22907188,21749993,21749994,29042659,37560303,31743637,24233622,17859771,12647580,12647581,17859774,24233627,29029969,21739108,21739109,24231841,256550991,47466308,58850707,58850475,47465995,47465994,37565066,37565065,37578714,37578713,37589511,37557957,31142972,23655792,17338901,17338899,23655784,29021749,29010451,29005398,21723721,21723723,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,31737738,40431822,37592828,37592829,39178879,49108521,258053564,256863838,37548791,37548792,29021462,29021460,24230825,21734571,21734572,29024318,21752456,15699141,15699143,21732964,29019183,22675662,22675661,30051576,31751694,24239962,17864365,17864366,24239967,31751701,40446731,37568833,37558766,29012433,29012434,29035691,37583064,47478289,47463141,37592863,29045184,21752202,21752201,29035612,37566440,29035607,29035603,37577804,37577803,47174405,37268472,28736459,28736457,37268468,29035573,29035553,21743830,15692904,10863756,10863755,15692866,10863730,7182706,7182703,10863701,10863700,10863759,10863760,15692906,17058667,11967232,11967231,17058666,23324284,29051711,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,894921,505364,283291,283290,505357,895878,1575742,2719421,2718212,2718209,1576019,1575042,1575043,2718234,2716333,1573954,1573953,2716324,2840015,2840014,4714307,5099692,8010642,8182087,5251843,3209017,1879438,1879439,3209020,5251849,4522894,2718534,1575216,1575215,2718528,2718815,2718816,4521250,2717586,1574711,895334,895331,1067832,1067833,896692,505874,283662,283664,505884,896708,1577210,2721826,4527926,4527804,2721736,1577149,1577150,2719823,4524790,5100028,5100029,6882173,4320159,4320158,4787690,5596798,5596797,8611246,12679234,17899155,24279565,31793297,40488238,50523758,62015447,74811812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6465768, s2 = 2653549, dlinesl.size( ) = 2 s1 = 6465768, s2 = 2653549, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6465768, Dl.E( ) = 28, 1.5e-05 seconds used appending s1 = 7804804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7804804, s2 = 16339316, int(edited[s2]) = 0 s1 = 7804804, s2 = 16339316, d1 = 85, d2 = 2 Dl.O(d1) = 267755576,1594185,2750283,3127612,5134793,5116916,3108044,3108041,5116908,8027834,7466157,7466158,8051390,5176222,5176221,8080724,8032497,8032498,11980396,8028566,5121865,3111792,1843493,1051952,1051954,1843498,3118821,5130595,8040245,11983279,8032382,8032381,11976959,8079886,8079885,8035638,8035640,5140304,5140305,3150014,1842916,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,1037147,1816337,1816423,1816422,3098158,254566835,5105173,254566945,5115963,5115960,8026879,8026580,5115707,5115708,8026585,5145183,3154688,1846053,1846052,3154687,4679777,254235953,1635694,2819434,3118418,1839374,1839375,1665643,1665644,2870027,4761328,3125865,1827267 Dl.O(d2) = 30865110,23435927,17160717,12064192,12064193,13530147,9260666,6065378,3794974,2273142,2273141,3794969,6065370,6945017,6945018,8371774,7185229,4526656,2721076,2721077,4526660,7185236,10867430,15698527,12055664,254574179,3168898,1855335,1058961,595509,332031,332029,332078,332077,595615,1059182,1855795,3169819,5195085,6070353,3798057,2274890,2274892,3798067,6070368,8374494,8374493,12392236,12055599,8105436,8105438,9246854,13513875,17563524,23907269,23430818,255568232,10565886,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052875,9241898,9242337,10548800,13514520,12053979,12053980,15258048,10526768,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269421,2269417,2622126,2622129,4377885,6956775,10548419,15282687,255820047,36968132,46846976,58215017,258661155,259907129,260509003,139640478,260339106,260339104,107358867,259089915,65514974,53491469,43013195,33956381,26119238,19425718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7804804, s2 = 16339316, dlinesl.size( ) = 2 s1 = 7804804, s2 = 16339316, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7804804, Dl.E( ) = 96, 2.41e-05 seconds used appending s1 = 13225497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11006494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7838970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7838970, s2 = 13238690, int(edited[s2]) = 0 s1 = 7838970, s2 = 13238690, d1 = 52, d2 = 38 Dl.O(d1) = 256819986,17245917,23554670,17453490,12303759,12303758,15073774,10396728,6853315,4300925,4300924,6853311,10396719,13462511,13462512,10784899,10784896,13462457,12724833,12724834,15586506,14914810,14914809,20810591,22727034,16521742,16521740,22727032,17022466,16515042,16515043,268943335,11169498,7410210,7410209,6942278,4363003,2614674,2614673,4363000,6942272,6820435,6820434,254588708,20936809,17160760,17160758,23435947,255986107,12365923,255177091,255673167,13536508,9266083,6069223,3797336,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272107,2272105,3793166,6062571,6067885,6062898,3793348,3793349,6062901,9257240,13526237,13520791,13520792,12407485,8385606,5411232,3326373,1956240,1956241,3326375,5411237,8385609,12407489,17579472,23920889,21244396,15277522,15277523,21244398,28466466,36965454,46844324,37713451,29152920,21844349,15774239,10926230,7227549,6049638,3785663,3785664,2268834,2268624,2268623,1315975,1315976,2268655,3786654,6051278,254558293,3026626,1760770,1002918,1002922,1760779,3026640,3239044,3026432,1760641,1760642,1084776,1084609,609158,609157,1000938,1000937,999739,999738,564483,316118,316119,564487,609193,1084690,1755985,1757987,1000764,1000762,565133,316511,316512,563901,563903,563936,316418,316416,316441,316442,565018,998854,562578,316368,316372,564896,1002611,1000552,1000551,1060044,1060043,1759514,1899904,1899903,1755514,1755438,998914,998911,1755429,1758079,1000995,564357,564356,1001145,563998,563995,1001136,1000924,563873,316127,174810,96120,96119,174606,315742,562866,563947,315897,174700,96052,52980,29812,29809,52970,53036,29838,29839,53043,96195,174978,316384,174949,174950,316388,564923,1002229,1002470,1002469,1760172,3021526,1756360,999582,999580,1756356,3021522,3021463,1756296,999530,563032,315309,174378,95888,52896,29779,29780,52898,95892,174387,315330,316304,254102443,1002448,1757666,1760983,3026883,5000166,3021645,1756498,1756497,1000220,1000219,1757291,1002531,1002532,254250127,5002110,5002109,3025883,1760151,1002454,564799,316306,316305,564796,1002451,1760147,268603036,1000030,1000028,1757023,1757259,3022684,3022286,1756966,1756967,3022288,5001050,7874999,7875000,11792828,11795100,254811557,5001023,3022272,3022273,5001025,254812191,7885659,7877175,5001395,3022535,3022534,5001391,7877168,7878356,7878357,11794806,11794805,7877374,5001527,3022608,3022607,5001523,7877369,11794526,7885442,7885443,268099137,23129549,16869132,16869133,16875755,11805995,7885490,5008029,5008030,7885494,11805998,16875760,21556098,15535619,15535618,255518143,16870834,16864061,16864060,23120513,23120514,23123200,16863319,16181488,16181487,22327385,29678583,38243277,30541695,23122908,255963051,23129538,16869117,16869114,23129536,23123536,16863705,11795626,7877242,7877243,7881146,11800212,16869112,23129533,23130649,23130648,23123526,16863688,16863686,16097381,11180639,7418218,7418217,11180607,11180609,10744573,10744571,10750387,10750388,10744863,10744865,11804718,11804724,11804739,11804742,16874376,22327359,21560819,15539827,10747283,7100500,7100498,7882419,7882416,7098947,4469723,4469720,7098933,10744694,11801837,7882369,7882371,11801842,11180785,11180784,14567176,14567177,16871175,16871177,16875086,23135527,23130578,16870112,11801070,7881804,7881805 Dl.O(d2) = 15234648,10509448,10509449,15234652,18744579,13344460,9117855,5965866,5965867,9117858,13344468,256117745,29405361,23365966,254565064,5161533,5161534,8067593,7525033,4758568,4758569,5168661,3150792,3150793,5118419,3109124,1816829,1037415,584346,326516,180213,180215,326521,584356,1037385,1037439,1816887,3109232,1827781,1823502,1040869,1040867,1823495,3119973,254569027,5114422,3106199,3106198,3190139,3190138,5228370,8157667,8056427,8056425,254403002,4759511,2868863,2868862,3134145,3134146,3134151,3134150,5149719,5135598,3135977,1833545,1833544,3135975,254178161,588870,588869,1046421,1812641,1812642,3102336,5101616,5101617,5162488,5162489,8068339,12000129,12127198,12020495,12007549,8076210,8076209,7529587,5121637,5121635,5156931,7406947,4679902,4679900,5122228,3112041,3112040,5122218,5122264,3112063,1818579,1818580,3112069,5122238,5101256,5101237,3096432,1809215,1809218,3096441,3153166,3153165,5168446,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,591308,582904,325841,325842,582907,1034498,584856,584857,1038441,1041974,1041973,1038483,1038482,1818966,3112697,5123061,7926020,7528494,4761700,4761701,5170081,4678365,2818491,2818490,3100462,5106862,8018297,8063014,5155978,3139658,3139660,5103528,5103527,5162939,3190040,3190039,5228261,8157600,8019055,8019054,5134884,4762449,4762448,3148272,3122158,1824834,1041621,1041618,1824823,1042639,1042643,587027,587025,1042656,254383189,8048345,11996243,11983854,8033129,8033128,11686330,7793140,7793138,7793201,4941316,4941317,7793206,11686367,14347517,16667873,11985688,11985690,17073735,17065284,16728818,16728819,22965064,22965357,22898297,22898295,29553408,22957379,22957380,17065553,16728858,16728857,22088916,267897614,16728741,254171838,9858565,6475969,4058192,4058191,6475966,8048251,8048250,11996165,11673834,11673833,14348643,12009689,8066888,8066887,12009688,16722273,11680639,11680638,11686915,7793592,7781510,7781509,7358335,7358336,7358406,4648162,4058118,4058119,4908469,7750189,7750187,11633606,16667838,16716934,15981909,11094937,9858317,9858316,14348275,11680692,7788901,7788900,11095432,11095433,7787905,4937611,2979421,2979422,4648141,4648139,4908406,4908407,7750467,11095413,7784654,7784656,9858869,7358325,4648107,4648106,7358320,7788853,11680629,16722264,16722303,16717843,15982313,11095280,11095282,11672218,11094907,7358192,4648043,4648041,7358185,11094891,11095301,7750199,7750198,7782764,7782753,7782752,11673780,16715576,16669204,16669205,22899573,22088597,254552626,15063371,10387798,6846065,6846064,10387795,15063366,16668681,16668682,22899056,30297392,30005243,30005244,38576004,30371602,30371601,30296652,30296653,38882398,37982054,37982053,30356239,30356238,23373484,254175244,23234182,23234184,22427792,22427794,22378080,16221807,16221809,17091269,16286860,16286861,22455250,17072650,17072651,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,7977428,11923322,7991237,7991238,11940093,17025080,254817830,30775525,29793974,22428010,17095725,12008970,12008969,11979293,8027227,8027224,5116458,5116459,5133348,254247324,8082183,12021812,16993160,11907479,7964533,5066933,5066932,267753812,16989034,11903718,11327201,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116581,254174972,8618253,10771253,254130006,2692307,2692306,2867167,1664082,1664081,2867166,4757036,7523251,5044818,3055305,3055306,267900433,7934149,7934150,11870151,11939764,17024509,17024512,17024710,11939742,11939740,11326947,7523150,7523151,11326950,16005841,11112016,7369898,4655836,4655835,7369895,10771831,15572638,16992442,11906802,7963968,5066410,3070463,1790332,1790331,3070460,5066402,7963938,7117491,5070511,5070512,7116517,4480708,4480706,7116511,7116529,10770827,254378408,7117760,10772524,15573378,15573380,11953084,8001647,5093980,5093981,8001652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7838970, s2 = 13238690, dlinesl.size( ) = 28 s1 = 7847641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7847641, s2 = 6740909, int(edited[s2]) = 0 s1 = 7847641, s2 = 6740909, d1 = 24, d2 = 23 Dl.O(d1) = 4586005,4260998,2547401,1467513,830276,468391,263430,263429,468382,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855018,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291420,2226583,3718324,5945995,9089209,8327262,5374406,3304781,3304782,4239851,254481647,2927594,1698181,965609,544091,544090,965606,1698176,2927584,4858049,4251050,4251049,6781643,6780903,6780904,10309630,10304917,6776794,6776793,254911107,5942718,3716013,3716014,5942538,3715927,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219832,2219833,3706591,2759790,2759792,4587290,7273995,8472656,10363474,12660305,9093685,5949214,5949215,6843376,6843378,5591903,5591902,6843360,6843327,4294022,4294024,5206489,5206490,7272791,4586516,2759345,1599590,909394,909395,1599596,2759362,3927408,6272717,4586361,4586359,7272557,7273852,4587210,2759754,1599795,909505,513015,287686,159081,159082,287672,512982,909438,835996,836001,882361,882363 Dl.O(d2) = 137645655,261009164,259181588,257932114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7847641, s2 = 6740909, dlinesl.size( ) = 2 s1 = 7847641, s2 = 6740909, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7847641, Dl.E( ) = 30, 6.91e-06 seconds used appending s1 = 10997750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7895866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8307761, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6624790, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6624790, s2 = 6427529, int(edited[s2]) = 0 s1 = 6624790, s2 = 6427529, d1 = 113, d2 = 129 Dl.O(d1) = 256660114,8220428 Dl.O(d2) = 254228963,4518028,254508867 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7865624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11042138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042138, s2 = 1458911, int(edited[s2]) = 0 s1 = 11042138, s2 = 1458911, d1 = 36, d2 = 43 Dl.O(d1) = 254817677,3068189,1788592,254129543,574662,888315,501189,501190,888317,888742,509737,509736,888414,1562716,888429,501249,501250,888433,254227631,1595815,1595817,2752832,4575518,5232649,3193374,2752187,1595412,1595411,1595822,1595821,1975148,1127569,1127570,1975150,254408085,8456150,7254891,7130550,4489016,2696847,2696846,4489013,2752762,2699905,1689140,960581,541384,541382,960574,907245,907243,1595884,1888176,1888178,3221756,1892371,1892370,3227506,4604942,7256338,7254641,7254642,4763588,2871586,1666584,947982,947981,1666582,988557,988556,609531,609532,1085438,1901577,1562510,888293,888294,1562512,2697381,4489859,5249609,3227485,1911140,1911141,2854484,2854485,1878244,1071549,1071550,254262433,1918413,1095818,1095819,1918417,3261735,3226178,1891412,1079347,1079346,1891411,3226176,3200279,1873647,1873645,1914742,1914743,1888551,1077831,605383,336922,185133,185131,336872,336874,605288,1077638,1093731,614069,614067,1093810,1915233,3259717,5278591,5278589,254836097,8237736,8223925,5294268,3245436,1904925,1904926,3245437,3227688,1892538,1080029,606616,606617,1080031,254233873,3221856,1888268,1888269,2785561,2773129,1912258,1912259,3194830,3194829,3208606,1879144,1072040,602378,335474,184458,101016,101017,184461,335480,602390,1072067,602587,335588,335587,602584,517070,517071,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614806,2783982,4623203,7319670,11044765,7319847,267828705,2783354,3207664 Dl.O(d2) = 47422578,37514822,37514823,257468439,48183068,48183066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042138, s2 = 1458911, dlinesl.size( ) = 2 s1 = 11042138, s2 = 1458911, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11042138, Dl.E( ) = 44, 1.38e-05 seconds used appending s1 = 14071677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8648174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8388508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8388508, s2 = 8051515, int(edited[s2]) = 0 s1 = 8388508, s2 = 8051515, d1 = 45, d2 = 47 Dl.O(d1) = 260266504,147342857,147342856,270381496,106099056,91904035,77979700,256003776,33653144,33653145,30247603,268234949,11598538,7720883,4886977,254244757,1707786,1802982,1029304,1029215,1029216,1802874,3087423,254563383,5069644,3073342,3073341,3056357,3056358,3056537,1782727,1016618,573025,320910,320907,573015,1016595,1782681,1789866,3069900,5065772,3086967,1802532,1802529,3069174,1789354,1789353,1792103,1024259,1024261,1795239,3076793,3071906,1791473,1791474,3066938,1787791,1787790,3066936,254563089,7979431,7979432,254567640,11947254,11898842,11898841,8070356,5164465,5164463,7960463,11902465,12171060,11908479,254381556,5078777,5078774,7941032,7941034,11878688,16966774,17015462,254577918,5163920,3146765,267839231,7192910,7192911,8071325,7571046,4788128,2886074,2886076,3313319,5388250,8348300,254743953,1806102,1031412,581229,325038,179508,98721,54574,54575,98722,179511,325047,254130251,1806132,3086587,1802202,1028774,579693,579694,1028775,1788056,3067320,1801762,1801759,1796679,1572754,894226,504484,282874,282873,504479,894209,1572737,254175449,574938,321798,177914,177913,321795,574933,1020342,1778412,1802242,1802243,3058884,3058885,5048924,5074005,3076768,1795215,1795212,3076764,5073995,5048813,5047275,3057449,1782060,1016257,1016259,1782066,3057459,5047286,5047252,5047253,5076915,5078345,5073159,5073158,5055685,3062847,3062849,3062867,1785402,1785403,3062871,5055714,7932426,11868249,7950605,5056642,5056643,5088200,3087276,1802772,1802774,3087284,5088219,7993469,11942638,11865868,7930471,5041505,5041506,7930473,11684294,7791492,4940135,4940134,4935159,4935158,7785080,11676414,11678374,7786874,7786873,7574917,5071733,3074995,1793955,1793956,1732129,1732130,2983646,4943812,7780786,7795331,7796287,7796286,8315992,11253638,7795958,4943485,2983394,1731948,1731947,2983388,4943476,7783305,7784966,4936766,2978782,1729031,1729033,2978789,2978757,2978758,4936704,4934201,4934200,4943383,7784519,7782641,7782642,7784356,4934605,2977257,1728047,1728048,2977259,4934606,4936623,2978681,2978682,3296606,2977292,2977291,4934630,2984573,2984572,4945026,7797881,11691790,254389810,22858630,22858629,22966449,254571968,254824582,30658522,39254819,256482214,57662299,70352121,83877024,84257936,84257937,258838392,97735976,91496117,77565056,64396670,52522771,42164403,33204274,25457116,25457117,256644419,52522780,64396681,77326880,64178843,52327706,52327707,259017697,271325181,98151881,259965032,59109155,258721385,59109130,59109129,71847662,270830681,99374824,85433410,270830682,125945426,112111405,99374841,258721403,257487801,37790449,37790448,257487789,37790400,29228330,21912017,15829789,15829788,21912015,29228327,37790397,47711315,47711361,37790441,29228369,29228367,37790438,37790370,29228313,21912006,268079631,7261154,7261153,10969982,15829779,21911994,256366023,29228294,256907917,38004160,38004159,47919822,47711263,47711262,59109121,71847658,71847659,270004389,257806471,33408232,33408231,42397345,33408226,33408227,37790369,47711277,59109102,47919827,38004187,38004143,29441208,29441207,38004142,47919804,59313283,270834950,59313260,47919774,47919773,59313257,258286901,50403657,50403658,61894177,74687716,61903067,50412631,256546743,24176054,256039949,40378086,50412622,258106333,47809019,37885602,29316689,23950388,23950387,31442081,40121517,46901114,58267125,65220632,53232014,53232013,65220630,78509568,87165222,73546753,268341558,39470468,39470469,49398970,50412591,50412592,49398963,39470464,30866881,268976209,60799614,59251837,59251836,50412609,50412608,61903050,68117401,74403516,61624776,50142681,256669126,44398595,255280436,20057049,20057052,20804323,20804325,22376240,29733740,31078664,23595415,23595414,23742536,31225903,26323752,26323753,23742446,23742439,23742438,17417871,17417870,17329516,17329514,23646377,17418231,17418229,23742968,31226457,31226512,23743018,17418274,12276714,8290983,5348798,3287304,1933168,1933166,3287295,5348780,8073593,8073589,12015048,17100749,17418127,17418311,23742495,21672479,21672478,28952687,29500994,29500995,31226563,23743058,23743057,28976818,29733744,23742526,17417924,12276522,8290869,8290868,12276517,17417918,23742551,23742431,17417846,17417847,17417868,17417866,23742469,17418083,17418084,23742785,31225881,31226097,23742679,17417996,17417997,23742684,17418264,12276705,12276706,12276545,8290879,5348773,5348774,8290931,8073584,8073585,12015036,17100727,23369252,28952674,28952676,28952681,28952682,30795493,23369268,17100734,17100733,23369262,23742508,17417891,17417890,23742504,17418017,17418018,23742461,31225834,29148896,29148898,37709183,47631458,39902956,39902577,31225841,31225842,39902579,31226235,255515460,48211320,48211319,59598604,58790609,47403075,37495246,28952668,23742998,23742498,17417936,12276534,12276536,16837055,23091694,30506407,30795444,23369247,23369246,30506763,23091974,23091975,30506765,31226129,31226218,31226219,39097092,30501049,23087359,23087358,17418041,12276594,8290903,5348757,5348756,8290896,12276576,17418006,23087354,16833966,11772206,11772205,16833959,23087345,17418116,17418115,23742819,30501014,39097067,39902680,39902679,47912217,37996327,37996326,30506437,23091721,23091719,30506431,39102976,39398413,30795453,23369239,23369238,30795447,39398409,31226083,23742668,23742666,31226075,31226125,31226126,39902859,49922325,48860487,38940946,30354732,23742715,23742713,23742726,17418034,17418025,17417972,17417971,23742630,31226028,39097022,30500992,23087326,16833948,16833950,17418051,23742743,23742644,23742643,31226042,39902778,49922422,61402156,74182219,86795602,73183069,61402718,257586140,31226502,268677441,23742602,17417958,12276551,8290883,5348748,5348749,254844919,268253461,31226000,39902723,39902805,39902806,49922449,60330368,61402215,49922511,39902874,39902873,49922401,39902764,39902763,49922399,39902784,31226050,255960418,12276561,12276562,17417978,23742651,31226053,39902702,255960414,51509254,61402339,49922601,49922600,49923007,61402715,70311950,256461136,256461134,100770555,100770550,86789431,86789430,77249384,64102792,64102791,74182136,87786606,101759818,115806208,129705269,258250332,100770552,256007226,60429798,60429799,61402646,270350441,60436331,73183391,85663376,99612777,87787229,87787228,97694536,258194220,101078161,87082083,73464876,60716963,60716965,73464879,87082086,101078163,115154083,115806226,119626482,105390007,91167841,77249391,64102799,52254097,41916024,32975986,32975984,41916021,49922315,39902694,39097041,30501001,23087331,23087332,30501005,39097050,49026115,60429832,73176774,86789460,85663381,72076268,59342271,59342272,72076273,74182367,86795770,73183267,73183268,74182121,74182119,86789426,73176738,73176737,61402874,49923133,49923132,61402870,74182840,73183328,60436254,49922925,49922924,61402643,74182236,65153240,53168842,53168841,60716908,49314987,39387181,30785034,23359868,23359870,25253165,32975993,41916029,52254109,60429792,49026090,39097031,39097032,39097045,49026108,60429825,73176765,61402315,49922582,39902927,31226198,31226197,39902923,49922574,61402296,60429870,49032139,39903470,31226628,31226627,39903467,49923234,49923146,39903421,31226601,29474909,29474910,38037677,30506257,30506256,39102798,49032200,53168848,53168850,65153251,53168858,53168859,60716960,60716947,49315020,39387201,39387200,38037658,38037660,47951006,59342262,72076233,85663335,74182958,73176730,73176729,73176758,86789416,74182952,61402976,61402854,61402311,61402304,61402281,61402279,61402848,61402849,74182364,85663370,73183261,73183263,74182980,61402994,61402992,74182909,61402936,49923185,257641277,60436242,49032188,39102791,39102793,49032190,60436245,73183320,86795808,100776548,114828448,113627035,99612733,85663307,72076208,59342221,47950965,47950966,59342223,72076210,85663309,97693633,99612741,113627040,106082254,91886704,77961520,77961521,91886707,101759921,87786759,87786758,101078173,87082091,87082092,88155789,74541064,74541063,88155748,85663314,74182984,66883240,61402921,49923172,49923157,39903425,39903428,43057305,33998286,33998284,43057298,53537125,65561807,78896621,74183020,74183019,86795794,86795793,85663268,85663269,74183013,61403030,49923252,47950960,38037642,38037643,47950963,59342218,72076204,85663299,99612722,113627021,115154072,106082243,91886698,91886697,106082250,116350697,102256172,102256171,102146469,102146468,101078141,88155773,269976354,50277192,50277191,61757266,74541053,74182884,61402913,61402914,61402898,61402897,74182862,65561811,65561812,74627325,61835146,61835145,74627320,88257649,74627354,72076174,59342199,59342198,72076170,61402955,61402954,74182929,71589214,58866334,47484444,47484445,58866339,71589220,85156381,76942355,74627361,61835180,61835181,74627365,88257689,102256045,116350586,115806162,101759749,101759750,115806164,129705228,116207494,102146434,88155752,74541036,74541038,74541045,88155758,101760180,101760164,87787116,74182857,74182856,76942407,63835276,63835275,61757254,50351029,50351026,50351047,40324295,40324294,50351044,47950946,47950947,55702116,68099741,74182923,87787176,85156357,71589202,58866327,58866329,71589208,85156366,99079895,95097392,91886680,77961505,77961507,91886681,106082223,106082217,91886678,91886679,106082219,120283047,134114268,143519081,130189348,130189347,123544649,109352239,95097370,81038871,259153089,260393769,102256027,102256020,102256021,260742485,259629852,102256019,88257651,88257650,95623088,95623089,99079901,99079888,99079889,101736224,87763672,87763671,74182012,74182011,87786510,101759754,95097455,81038956,81038943,67570011,67570010,81038940,87763675,87763674,101736230,115781360,270400392,95097379,81038898,67569982,55226781,55226780,67569978,81038887,81038905,67569984,55226790,55226789,50351019,40324281,31635093,31635095,40324286,50351023,61835141,74627314,88257639,102256009,97734186,97734185,111655150,104995432,104995429,104995428,113068640,109352301,95097453,81038955,74627055,74627044,74627045,88257414,95097414,81038958,67570029,67570019,55226817,55226815,67570015,81038947,73378373,73378371,81038916,67569989,67569988,74159377,61378899,55226786,44375943,34997620,34997619,44375938,55226776,55226793,44375948,44375949,55226798,50351014,40324277,40324276,50351009,52020174,52020173,63835241,63835259,52020194,52020195,63835261,76942396,90818002,76942369,63835232,63835233,73378336,73378335,74627060,61834837,50350763,50350762,61834833,74627049,67570033,55226828,44375962,34997635,34997637,44375969,55226835,60632282,60632284,73378359,60632276,60632277,61835121,50351007,40324275,34997629,26916236,20031926,20031924,26916208,34997581,44375890,55226715,67569881,70350241,73253291,61835125,52020178,41709554,41709555,52020182,41709567,32793414,32793413,32793416,35369875,35369939,44794653,55702259,49231283,49231284,60632253,64584684,64584688,77767687,91695231,105902627,95097340,81038808,67569908,55226821,55226819,55702428,44794768,44794767,39304507,30706674,30706673,39304503,41709545,32793397,25094380,25094378,26916246,20031930,14348943,14348944,20031918 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8388508, s2 = 8051515, dlinesl.size( ) = 2 s1 = 8388508, s2 = 8051515, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8388508, Dl.E( ) = 52, 6.1e-05 seconds used appending s1 = 11012236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1297305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8490246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14036195, s2 = 10344308, int(edited[s2]) = 0 s1 = 14036195, s2 = 10344308, d1 = 17, d2 = 8 Dl.O(d1) = 21869093,21869095,256512439,31231341,23994783,22536058,16361967,16361966,15796941,10945248,7723590,7243037,4566503,4566150,4566149,7242556,10944806,15796464,21870464,28996582,21711911,21711910,15669476,267967175,4517068,2714741,1572947,894353,254161519,2714739,4517061,254745023,4563667,4563666,5012535,4568241,4564225,4564224,3031445,1763894,1004894,1004892,1763887,2750001,1593990,906152,906153,906160,906159,1594001,2683925,2683923,2747715,1592540,905382,905383,906186,254098979,158285,86973,86974,158288,286433,511033,906204,1594078,2750137,4571746,7250013,10954116,8855629,5771781,3595428,2144059,1238527,1238529,2144069,3595447,5771815,8855691,13007507,18324293,20024536,15807735,10954002,7249952,4571707,4571710,7249959,10954010,15807752,15170856,10463114,10463115,15170858,256836743 Dl.O(d2) = 256963175,23184068,30602901,25615346,25615345,256342293,15612852,10802124,7137453,7137452,10802123,10802130,7137456,4493608,2699725,2699724,4489361,4489363,7131113,10793519,12291981,8301616,8301615,10796494,10796493,11933657,15656839,15919560,11171892,254791613,7655315,255109323,22717643,268958738,49042801,48851639,38932070,30346181,30346182,38932072,36639735,30515853,23099888,16843597,11779252,11779253,16843599,16843652,16843653,22217031,16085554,11171763,7411886,4683384,2821769,1637029,930841,893061,503910,282591,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570889,2711712,4512567,4512068,4512070,7164035,10837521,7411256,7411255,11171046,15655879,15655878,21696253,15655851,10836659,8197416,8197415,12166098,255415819,7131034,7131036,10793395,15601889,17648776,17648777,15127927,10434152,268066307,21060712,28262738,23761929,23007881,16768469,11722175,7824739,7824740,11722177,8218275,5288213,254264919,1085054,609374,609373,1085044,1089611,942730,531693,531691,942705,531686,531685,942418,942417,1656289,1888352,1888351,1914336,1914335,254396521,8236026,12204247,12132646,12132645,8167128,8167130,254396919,254183311,614698,341724,187457,187458,341727,614704,1094990,1886568,3219498,5264452,5294083,8200994,5291850,5278074,3231871,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223534,3226171,3226172,5270609,7303862,4608341,2774194,2774195,1896682,254264397,1885553,1075785,604318,336408,336407,254132779,1078858,1890615,1919809,3266048,5316983,5261893,5261892,3230210,1894338,1894337,3230207,5275975,8178697,5248329,3206188,3206189,255546453,254357565,7532097,11334698,14370985,9876941,9876943,7206250,4540142,2728893,1580983,898716,898714,1580979,2728883,4540128,7206229,10812649,8306927,8306924,11395286,255047569,10814310,14386423,255425951,10881254,7194215,4532265,2724375,2724376,254747561,10813598,7146117,4499831,2703861,1703196,968157,545304,305458,305459,545306,968163,1703210,2937066,4874160,7701378,11570242,11279482,9898037,6505131,6505136,7202224,8309059,8309060,7200536,7200540,6497438,4071354,4070788,2435907,1408668,1408666,2435899,4060019,6478923,9863072,9880471,14374530,20038700,20038701,20068203,14384414,255053919,10883565,15720263,20064667,14380631,9886428,254469783,254214273,801411,801412,1408588,2435731,4070504,6496063,9886650,9886644,254971291,6485096,4063706,2431955,2431956,2704124,4500312,4094671,2449687,2449688,4075409,2438450,1409908,1409914,2438455,4065766,2433009,1407225,1407226,2433011,4065770,6488590,4065760,4065759,6488588,9876753,9876817,9876818,14370863,10812764,255047375,254510733,2725218,2725217,4533603,7196175,10880605,15717527,11841699,11841700,9884252,9884254,14378254,254900638,11259902,9897917,6505008,4076254,4076253,6505003,9871424,7205377,6491107,6491108,7199034,6497026,6497027,9876253,9866378,6481235,4533742,2725297,1579165,897796,897798,897785,897787,1579142,2725021,2725019,4533262,254341493,2728618,4539686,4535207,2726125,2726124,4535205,7198540,10886310,255054281,7199215,4535608,2726345,1579669,898043,506635,506638,898054,753886,753885,254206005,3803859,6079170,9280491,13555649,18995424,21560953,21560952,255477552,27023820,255330733,14438848,14439234,9932546,9932545,14439230,9933750,6528757,4090806,4090805,6528756,256221521,255167645,8283888,5344231,3284516,3284515,254589227,8734564,255612197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14036195, s2 = 10344308, dlinesl.size( ) = 14 s1 = 13218599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7850221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9789705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9789705, s2 = 7989667, int(edited[s2]) = 0 s1 = 9789705, s2 = 7989667, d1 = 27, d2 = 23 Dl.O(d1) = 24086920,31590718,254173948,24113143,24113142,31618450,25889560,19229973,19229972,19229966,19229967,25889552,29673523,254414456,11243886,11243885,8510363,5510472,5510471,8510361,8499560,5501090,254191372,12536914,16579538,12561238,8516627,8516629,8549712,12598657,16894769,17739980,17449481,17449480,17741667,12598718,8549744,8549742,12598709,15280911,17361276,12612778,8561178,8561176,7389666,7389665,5486712,5486708,8485808,12523858,17363011,12232838,12232836,17363006,17847761,12639054,12639056,12552291,8510647,5510623,3398686,3398685,5510619 Dl.O(d2) = 17839334,24209438,255582226,14454148,14454150,14454206,20149494,17712187,17712188,17836938,16171695,11239200,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318437,17359514,17359510,14126900,14126898,9845598,9845602,11475230,16469635,22316783,20310360,20310358,23694079,23694076,26893510,20012313,15553563,14127771,9719515,9719513,14127762,16170788,11238569,7459279,7459281,11238579,16170813,17707443,16171615,16170770,14127175,13379171,9144713,5984238,254647749,13379162,18784636,25368460,255556336,26892799,20011544,20011545,26444530,19705472,17839036,12632463,8577229,8316411,5366292,3299020,3299019,5366290,8316408,12312306,17464353,254844704,37642141,37642142,33306523,29668949,22317554,16861491,16861492,16171362,11239597,11239596,11239628,11239629,16172244,16170652,16170653,14127098,14127095,9719124,9719126,14127120,19702719,17065956,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,1427771,1427770,2470173,4129391,4129392,6591329,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331967,16171891,16171894,22317074,17712231,17712233,17739868,16171586,11239120,11239121,10986173,10986172,15851826,16171581,22316714,23769537,19781879,19781877,22316098,255165198,24145958,17779622,12582893,12582892,17779618,24145953,21795976,21795975,255165634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9789705, s2 = 7989667, dlinesl.size( ) = 2 s1 = 9789705, s2 = 7989667, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9789705, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 9795253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9795253, s2 = 14060279, int(edited[s2]) = 0 s1 = 9795253, s2 = 14060279, d1 = 17, d2 = 24 Dl.O(d1) = 15341656,10596727,6990808,6990807,6906364,4337764,2596901,1498066,848925,848927,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474516,10474526,8540205,8540204,12587970,254090362,24139019,23441044,23441043,30869436,24119147,24119146,31624557,39908424,38088006,29524203,29524204,31231921,254419512,12280120,8293406,8293405,8575535,8575536,12630436,17422826,12280057,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452 Dl.O(d2) = 49342864,53839347,43315327,39711302,39711301,49312828,39385174,30783220,23358430,23358431,30783222,33209368,29758302,22397312,22397313,29758304,31034071,23552530,17244141,17244140,254921929,9187573,13438291,18861281,15830019,10970144,7261257,7261256,10970142,15830015,21912280,29228618,37790739,29228643,21912309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9795253, s2 = 14060279, dlinesl.size( ) = 2 s1 = 9795253, s2 = 14060279, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9795253, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 226344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 226344, s2 = 14556962, int(edited[s2]) = 0 s1 = 226344, s2 = 14556962, d1 = 19, d2 = 20 Dl.O(d1) = 5520256,3406986,254190125,1144247,641846,356213,195183,195184,356217,641853,1144255,1136489,637632,254136857,1989012,3378598,5487869,5544632 Dl.O(d2) = 255716055,14057135,14057134,10261322,10261323,14922632,10494161,10494160,255384599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 226344, s2 = 14556962, dlinesl.size( ) = 2 s1 = 226344, s2 = 14556962, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 226344, Dl.E( ) = 40, 1e-05 seconds used appending s1 = 14249009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11092616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7864568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 73741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 73741, s2 = 14539990, int(edited[s2]) = 0 s1 = 73741, s2 = 14539990, d1 = 1, d2 = 1 Dl.O(d1) = 10021509,14563709,20294889,21621294,15600667,15600666,14561034,14561033,20291785,16559548,16559545,13415853,13415852,18829914,25422797,33165255,42121551,52476630,43343709,43343712,34322041,26445512,19706482,19706481,17794371,12595272,12595271,17358335,12228534,8256419,5326418,5326419,8256421,12228535,12522537,8484255,5484865,3375751,1986844,1986846,254409839,7898297,7898299,8508868,5509392,3397874,3397873,5509391,7718371,7718282,4885218,2943696,1707067,1707069,2943699,2266902,1315032,1315030,2266901,3784014,6047444,9233783,13496710,18932052,25544963,31644763,40322343,39817484,39817485,38880291,38880292,30427030,30427031,31703849,24196303,17827114,12622532,12622531,17827109,17270281,17270282,23582667,23582709,17270316,17270319,23582714,31066879,31066846,31066847,34626346,29382251,22052137,15948766,15948765,17763971,12570358,12570359,17763973,24126859,31633454,38222507,29656553,29656554,38086521,29522013,22179371,22179370,29522011,28223750,21028084,21028083,28223748,36716843,46604952,57981869,70195046,57527857,46212486,36382044,27937695,20784365,14896559,14896557,18866511,25466665,22170999,22106150,15994933,15994934,17700813,17700810,16137395,16137396,22281149,29633270,30003802,31842651,29658832,22306737,22306738,22244268,20784180,14896431,10242863,6730217,4216733,2521088,2521091,4216743,4981695,3009360,1748077,1748079,1748405,994186,994183,1748415,3010008,4982784,7849747,7849494,6008178,6008182,9179617,12709385,13144222,11754002,10930861,10930858,15222480,21184067,16670125,15618450,15618447,11755932,11755931,16811495,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,13704106,19188496,16811996,13457750,11756988,11756989,13457732,16808065,18884786,24705179,21184634,15222906,15222903,18539499,18539497,22633868,26172078,19471138,19471139,16810095,16810096,15220785,15220787,13826804,13826805,19335260,21278494,15316193,10578383,6978006,4384064,4384019,2626034,1516006,859529,859526,1515999,2626022,4383993,6977878,10578154,15315841,16211375,22365092,21174766,15215387,15215388,21174772,28394559,23054890,23054888,25034033,25240180,18670507,18670508,21188071,21188034,15225491,10502367,6925176,6925175,10502360,15225481,21188017,28409409,29721261,29721262,38287688,36908784,28411408,28411407,36908780,36908799,28411422,21189870,21189871,28411425,35161790,30460846,23053016,23053014,19698008,14123549,9716746,9716747,14123552,19698016,26436938,28411420,21189868,18880528,18880529,25483062,33231657,35161672,27074847,20178879,14477981,14477982,20178881,20178907,27074898,31919750,40635374,33232098,33232099,30062443,22685053,22685054,30062449,38636453,46703984,46703983,42191954,42191955,51288512,62963768,59943055,48550841,48550842,38636442,38636443,35161786,35161788,39050161,35161784,35161783,39385989,30783944,23359005,17090390,12002859,8056757,267990009,17090394,23358999,23358998,30783937,30884608,23452803,17175692,12076498,8120793,5202650,5202651,8120798,12076508,17175705,23452827,30884645,36715755,28222946,21027564,21027565,28222951,23452585,23452584,23452593,29954753,22590820,22590818,29954749,38519518,30884557,30884555,36715802,36715803,30884243,30884241,39490560,257616065,48945071,48945070,40518166,36716145,28223223,28223222,36716142,39491058,39491057,49420530,49420576,42013568,38271090,38271088,38395150,38395151,32298656,32298654,40518184,31821383,24304910,17921140,17921141,24304895,17921132,17921134,24304899,21027550,21027551,28222926,256489687,268678198,36715730,36715729,30884704,30432367,30432368,39021925,48945036,44491553,44491555,48305747,48305746,57980961,46603915,36715790,36715789,39491054,38218503,256940075,52352923,42013522,33069208,25339298,18759343,18759342,25339295,33069196,42013499,52352903,64203332,60341935,48944926,39021815,33069192,25339294,18759341,18759340,25339287,33069169,25339275,25339274,33069167,33069232,39021838,30432289,23026246,23026245,30432283,39021828,48944942,51288383,41108490,39974466,31299976,23813789,17479555,12324036,12324035,17479553,23813784,31299974,32298463,24687390,24687389,32298462,41108894,48944867,39021748,30432225,30432226,23026223,23026224,30432238,25424186,25424185,33166853,30432217,23026214,23026213,24686885,24686884,24687199,32298218,41108661,32298720,24687675,24687676,32298724,41109104,51288327,41108599,32298233,24687207,24687205,32298227,39021892,30432335,30432333,39021886,41109154,41108951,41108950,39269070,32298126,32297992,32297938,32297937,25424222,25424221,25424217,25424215,24687825,24687824,24686749,18220456,18220457,18220575,12923528,8791409,5726289,3565220,2124746,1225648,1225650,2124752,3565231,5726305,5726239,3565195,2124735,1225643,693065,693062,1225635,2124718,3565166,5726173,8791200,9173394,6004136,6004137,9173399,13416682,18831015,25424157,24695415,18226323,12927772,8794497,5728545,5728544,8794495,12923412,8791341,5726251,5726252,8791343,12923413,12927817,8794525,8794527,12927821,18226405,12927847,8794625,5728604,3566770,3566769,5728600,8794620,12927985,18226670,24695517,24695196,24695149,24695151,18226163,12927684,8794443,5728514,3566741,3566742,5728520,8794455,8794609,8794610,12927962,18226627,24695780,23883962,17537458,12369301,8358149,5394787,5394788,8358151,12369305,254237900,31380992,32308577,32298699,32298700,32308945,32298029,32298030,41108507,37521689,28977861,28977860,37521686,40063779,31380971,31380970,24687556,18220333,18220334,18226456,18226455,24695489,18226396,18226398,24695495,32308572,29694210,29694209,38259949,256401398,18226197,18226198,24695268,32308250,24695172,24695173,32308252,37498446,28955809,28955810,37498450,41108517,37498433,28955798,21674888,21674887,28955795,37498428,47405933,51304244,62982727,62982912,51304578,41121784,41121389,41121388,37498459,28955817,21674898,15636796,10820784,10820783,8794592,5728589,5728590,8794599,12927943,18226603,24695748,32308870,37571283,29024416,21734641,15686045,15686044,21734636,29024410,37571273,47477162,51304549,41121754,41121753,39128774,30530345,30530344,24695642,18226543,12927909,8794582,8794583,12927912,18226549,24695658,30530483,23112231,23112232,30530486,39128956,39128815,30530384,23112169,16853397,16853396,23112166,23112208,23112207,30530453,24695724,24695723,32308835,41121875,47615171,37690222,29128213,29128214,37690223,41109068,41109069,51288785,58793204,58793201,67612065,55271214,55271215,50429598,50429599,40396325,40396327,50429702,60336484,60336483,58793242,58793241,55271133,44423903,35049213,26968145,26968144,32298617,32298618,41109023,44501976,55229972,44379564,44379565,35049344,26968227,20082944,14399175,9904230,6509689,6509684,9904225,14399168,20082936,26968215,30615178,23194805,23194804,30615174,39016723,47405979,47405991,40417735,37096701,28590097,28590098,37096694,46980262,47898139,39347973,39016129,30427187,23021954,16781232,16781230,23021958,30427193,256557088,39131264,39131267,49061072,60464347,61943725,50452242,50452241,44501985,44501986,55348239,44764622,44764623,55673889,47312971,37403483,28861866,21587825,21587824,28861862,35235932,44618030,55271140,256902032,42365152,33376392,33376393,42365155,52764582,55271224,44424010,35049302,35049301,31725942,24219308,24219306,24517535,31725920,24219293,17849033,12640316,8582515,8582516,12640318,255590417,31725922,40417721,50452223,61943717,258913751,97835538,260475721,114300657,100270880,86309345,86309344,100270878,114300655 Dl.O(d2) = 10021509,14563709,20294889,21621294,15600667,15600666,14561034,14561033,20291785,16559548,16559545,13415853,13415852,18829914,25422797,33165255,42121551,52476630,43343709,43343712,34322041,26445512,19706482,19706481,17794371,12595272,12595271,17358335,12228534,8256419,5326418,5326419,8256421,12228535,12522537,8484255,5484865,3375751,1986844,1986846,254409839,7898297,7898299,8508868,5509392,3397874,3397873,5509391,7718371,7718282,4885218,2943696,1707067,1707069,2943699,2266902,1315032,1315030,2266901,3784014,6047444,9233783,13496710,18932052,25544963,31644763,40322343,39817484,39817485,38880291,38880292,30427030,30427031,31703849,24196303,17827114,12622532,12622531,17827109,17270281,17270282,23582667,23582709,17270316,17270319,23582714,31066879,31066846,31066847,34626346,29382251,22052137,15948766,15948765,17763971,12570358,12570359,17763973,24126859,31633454,38222507,29656553,29656554,38086521,29522013,22179371,22179370,29522011,28223750,21028084,21028083,28223748,36716843,46604952,57981869,70195046,57527857,46212486,36382044,27937695,20784365,14896559,14896557,18866511,25466665,22170999,22106150,15994933,15994934,17700813,17700810,16137395,16137396,22281149,29633270,30003802,31842651,29658832,22306737,22306738,22244268,20784180,14896431,10242863,6730217,4216733,2521088,2521091,4216743,4981695,3009360,1748077,1748079,1748405,994186,994183,1748415,3010008,4982784,7849747,7849494,6008178,6008182,9179617,12709385,13144222,11754002,10930861,10930858,15222480,21184067,16670125,15618450,15618447,11755932,11755931,16811495,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,13704106,19188496,16811996,13457750,11756988,11756989,13457732,16808065,18884786,24705179,21184634,15222906,15222903,18539499,18539497,22633868,26172078,19471138,19471139,16810095,16810096,15220785,15220787,13826804,13826805,19335260,21278494,15316193,10578383,6978006,4384064,4384019,2626034,1516006,859529,859526,1515999,2626022,4383993,6977878,10578154,15315841,16211375,22365092,21174766,15215387,15215388,21174772,28394559,23054890,23054888,25034033,25240180,18670507,18670508,21188071,21188034,15225491,10502367,6925176,6925175,10502360,15225481,21188017,28409409,29721261,29721262,38287688,36908784,28411408,28411407,36908780,36908799,28411422,21189870,21189871,28411425,35161790,30460846,23053016,23053014,19698008,14123549,9716746,9716747,14123552,19698016,26436938,28411420,21189868,18880528,18880529,25483062,33231657,35161672,27074847,20178879,14477981,14477982,20178881,20178907,27074898,31919750,40635374,33232098,33232099,30062443,22685053,22685054,30062449,38636453,46703984,46703983,42191954,42191955,51288512,62963768,59943055,48550841,48550842,38636442,38636443,35161786,35161788,39050161,35161784,35161783,39385989,30783944,23359005,17090390,12002859,8056757,267990009,17090394,23358999,23358998,30783937,30884608,23452803,17175692,12076498,8120793,5202650,5202651,8120798,12076508,17175705,23452827,30884645,36715755,28222946,21027564,21027565,28222951,23452585,23452584,23452593,29954753,22590820,22590818,29954749,38519518,30884557,30884555,36715802,36715803,30884243,30884241,39490560,257616065,48945071,48945070,40518166,36716145,28223223,28223222,36716142,39491058,39491057,49420530,49420576,42013568,38271090,38271088,38395150,38395151,32298656,32298654,40518184,31821383,24304910,17921140,17921141,24304895,17921132,17921134,24304899,21027550,21027551,28222926,256489687,268678198,36715730,36715729,30884704,30432367,30432368,39021925,48945036,44491553,44491555,48305747,48305746,57980961,46603915,36715790,36715789,39491054,38218503,256940075,52352923,42013522,33069208,25339298,18759343,18759342,25339295,33069196,42013499,52352903,64203332,60341935,48944926,39021815,33069192,25339294,18759341,18759340,25339287,33069169,25339275,25339274,33069167,33069232,39021838,30432289,23026246,23026245,30432283,39021828,48944942,51288383,41108490,39974466,31299976,23813789,17479555,12324036,12324035,17479553,23813784,31299974,32298463,24687390,24687389,32298462,41108894,48944867,39021748,30432225,30432226,23026223,23026224,30432238,25424186,25424185,33166853,30432217,23026214,23026213,24686885,24686884,24687199,32298218,41108661,32298720,24687675,24687676,32298724,41109104,51288327,41108599,32298233,24687207,24687205,32298227,39021892,30432335,30432333,39021886,41109154,41108951,41108950,39269070,32298126,32297992,32297938,32297937,25424222,25424221,25424217,25424215,24687825,24687824,24686749,18220456,18220457,18220575,12923528,8791409,5726289,3565220,2124746,1225648,1225650,2124752,3565231,5726305,5726239,3565195,2124735,1225643,693065,693062,1225635,2124718,3565166,5726173,8791200,9173394,6004136,6004137,9173399,13416682,18831015,25424157,24695415,18226323,12927772,8794497,5728545,5728544,8794495,12923412,8791341,5726251,5726252,8791343,12923413,12927817,8794525,8794527,12927821,18226405,12927847,8794625,5728604,3566770,3566769,5728600,8794620,12927985,18226670,24695517,24695196,24695149,24695151,18226163,12927684,8794443,5728514,3566741,3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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 73741, s2 = 14539990, dlinesl.size( ) = 2 s1 = 73741, s2 = 14539990, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 73741, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 9798923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13197093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13197093, s2 = 13184618, int(edited[s2]) = 0 s1 = 13197093, s2 = 13184618, d1 = 10, d2 = 17 Dl.O(d1) = 33148031,25407548,24694777,18225850,12927426,255035671,10673583,15439033,21410786,15422218,15422219,21410790,19202879,13715119,9394219,9394220,255230164,15422732,15398569,14042924,14042923,19598744,21967070,15873074,11001940,7282944,4592874,267887825,11001936,15873072,13715064,13715062,19202812,24776513,18296576,12987169,8841232,5761923,5761922,8841230,12987163,18296565,19202321,19202320,25859572,33665913,33666381,33666382,29418652,22769254,22769255,21378679,255032655,10641237,9522759,9394279,6154506,3850819,2307144,1338696,764647,764646,1338690,2307133,3850800,6154484,9394239,10661707,10661708,10638045,7022700,7022701,10638048,15392831,14442354,12503701,12503702,9381410,9381408,13697851,19181289,13697884,9381354,6145957,6145956,7011002,4407692,3845916,3845915,6146011,6146012,6204869,9463211,13799745,18772292,25354488,33087121,28647498,21405524,15417935,15417934,21405522,18446799,13715061,254663423,3850779,3850778,6154449,9394186,13715054,255606604,33666259,34585685,38039445,37050223,28550426,28550427,25087072,25087073,29428820,29428821,29434830,22102423,15992260,11101866,7362392,7362394,11101871,15992267,13175237,13175236,15992327,18817009,18817010,22102479,22102480,21372461,15391798,10637215,7022065,4416233,4416234,7022069,10637219,15391804,21372475,28606856,32253197,28550432,21325644,21325643,28550430,32253216,24653889,18195920,18195918,255315434,37997494,29434863,22102455,15992280,15992281,22102458,29434867,25087048,18542376,18542375,25087045,32784889,29434828,22102421,21967424,15873486,15873484,15992295,11101890,7362402,4650486,2801208,2801210,4650489,7362409,11101902,15992316,22102500,29434817,22102413,21001452,15085421,15085422,15992319,22102506,29434906,29434914,28184472,21001413,15085390,10405029,6858866,6858867,10405033,15085399,21001424,21408650,18542413,13175258,13175259,15992387,11101959,7362443,4650510,2801218,2801215,4650502,7362435,11101947,7362456,7362455,255074445,21408664,255343792,10659875,15420417,15420400,15420402,21001446,15085416,10405044,7362331,7362330,11101737,254987162,254697796,15992210,22102308,15992134,15992135,22102310,29434738,22102269,15992097,15992098,11101817,11101818,15992201,15992235,15992236,11101970,11101971,15992426,21408836,255075896,11101926,11101925,15992360,22102568,22102661,15992434,15992435,22102382,15992223,11101835,254523988,7362297,11101692,15085412,10405040,6858872,4304528,4304529,6858877,10405048,254319208,22102313,15992142,11101761,7362338,4650456,2801191,1624906,923923,923924,1624910,2801200,4650472,7362371,7362383,7362451,4650515,4650514,7362448,11101966,15992417,22102372,22102294,15992118,11101743,11101742,15992116,21408742,15420497,10659937,10659938,10037983,10037981,7362293,7362295,11101690,15992049,15085430,10405057,6858884,4304532,4304535,6858889,10405067,254987188,28184514,28184498,21390028,15405702,10648358,10648359,254697798,10405063,10659996,15420574,15420557,10659988,10659987,15420552,21408807,22102301,18817045,15992148,11101767,11101766,15992144,12711507,8636585,8636586,10659960,10659933,7039616,7039617,10659935,9165119,9165118,9165053,9165052,5998561,5998562,9165132,13405492,13405499,13879150,19402384,26091749,33924935,28628260,255207088,268293316,17939413,17939416,24327545,24566390,18817039,13405434,12794991,12794992,18048916,15405675,10648344,7030816,4422879,4422878,7030812,10648333,15405662,21389984,24471236,24566414,18126456,12853245,8740565,5690280,3539867,3539868,5690283,8740571,8740516,5690254,5690253,4429695,2658814,2658815,254500423,10659905,12853006,18126141,18048642,12794766,8698772,5662103,5662104,8698775,12794770,12853074,12853075,18126245,21390670,28629132,29696586,22342957,16194090,11257109,10615750,7005411,4403457,4403458,7005416,10615760,15364621,15405719,15405720,12853180,8740530,8740531,12853186,12853090,8740470,5690221,3539875,2107250,1213648,684883,684882,1213643,2107238,3539851,5690241,7039588,7039595,7039594,10659897,15420449,21408695,21408746,21422111,15430994,15430993,12794832,12794834,18048740,24468721,24468703,24468657,18048659,18048658,24468655,29696593,22342965,21338492,15364606,255284448,12851920,18124635,24564125,24468857,24468858,32031017,24566412,24566307,18126269,12853100,8740477,254427925,2107230,1213636,1213637,2107232,3539846,4423046,7031036,10648671,15406163,12851911,12851909,18124620,15430987,10667766,8698765,5662101,3521519,2094968,1205477,1205478,2094971,3521525,5662115,8698789,12794793,255606605,24564122,18124630,12851918,12851917,18124628,254663422,24566298,18126262,12853096,12730797,8740586,8740587,12853273,18126477,24566499,24566321,18126279,15406147,10648659,8840389,5761327,3588398,3539449,2106954,2106953,3539446,5689643,5662172,3521556,2094985,1205483,679501,679503,1205490,2095000,3521244,5661732,8698273,12794083,18047821,13357140,9128477,8739592,5689627,5689625,8739584,11257071,11257073,254305422,5550003,3435095,2031935,1163727,1163730,2031928,3435082,5549977,8552275,12602584,16510471,17755014,17755013,12625847,12538784,8500077,5501683,3391245,3391244,5501681,5529286,5529283,5566660,5509227,3397753,2003156,2003155,2414968,2414967,4030012,254682231,11601581,254964828,22857893,22785406,16569514,11550566,11311939,10846741,7170626,4516478,4516479,3092204,1806628,1806627,254175755,322607,322605,576515,254175759,3054865,254379221,3054450,1806023,1780717,1015407,572362,572363,1015412,1780723,1780313,1780314,3055203,3069274,1789417,1020374,574949,574947,1020371,1789413,1778574,1014017,571569,320183,177174,97625,97622,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573170,2714925,1573084,1573083,1779474,3054094,1806369,1806367,1792102,1024259,1024263,1792140,1024464,577284,322987,322988,573975,1018468,1018553,1786143,3063467,1785789,1785788,3058789,3058790,1785404,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028809,1028808,1802264,3086672,5087495,7992578,11889651,11675280,11675279,16717033,11676340,254552599 Dl.O(d2) = 4944950,2984501,2984502,4944952,7783468,4936151,2978373,2978374,4936154,7780947,7780946,7787954,4937665,2979484,1729556,1729558,1940137,1940068,1108185,1108186,1940070,3298641,5365795,254552339,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,254247531,254552831,11680504,16722127,16731016,11688417,7794852,7794854,11688420,16722230,11680599,7788830,4938280,2979880,2979878,4938273,7788814,11680578,11684745,7791839,4940327,2981177,2981175,4940315,7791815,254382468,13988353,9609513,9609514,13988355,19535999,26253931,23236002,16963761,11879526,11879525,16964734,11912001,7983120,5080832,5080833,7983122,11876859,254567740,3059551,1783664,267794489,254817089,7945410,7945411,7780288,254804421,16712752,22949532,28114386,20937429,15029250,15029249,20937427,28114382,36587052,46452994,57808996,47426446,37518646,28974984,255420257,10833823,7161517,4510498,2710354,1570173,1570172,1570215,2710405,3089331,3088194,1803549,1029733,580242,580246,1029751,1021687,1021684,1789186,1789164,1020196,1020197,1789169,1021616,1021618,1791304,3071717,3068908,3068906,5043256,3071582,1791211,1791208,1022913,576442,322564,178306,98154,54307,30736,30737,54309,98163,178326,322605,576515,1023126,1793539,3074025,3086846,1802415,1802416,1792166,1792165,267794481,1017028,573253,325054,325058,576128,1022489,1016110,572773,320792,177479,177477,320789,572639,320724,320723,572635,1015881,1781449,1781808,1806023,1780717,1015407,572362,572363,1015412,1780723,1780313,1780314,3055203,3069274,1789417,1020374,574949,574947,1020371,1789413,1778574,1014017,571569,320183,177174,97625,97622,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573170,2714925,1573084,1573083,1779474,3054094,1806369,1806367,1792102,1024259,1024263,1792140,1024464,577284,322987,322988,573975,1018468,1018553,1786143,3063467,1785789,1785788,3058789,3058790,1785404,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962002,7992742,11868201,11868200,11891154,7977964,7977965,7950883,5056849,5056847,7950880,7992580,11910505,8000173,5092866,3090776,3090775,5057420,3064059,1786168,1786167,3064053,3086892,1802465,1802466,3086896,5087791,5087020,5087019,5087806,6588401,254985913,11923405,7977499,7784603,4934835,4934836,3086406,3086405,5087188,267988313,8566083,7966996,7949463,7949465,11689565,11865884,7930486,5044364,3054812,3054809,2977653,2977652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8008422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8021180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8021180, s2 = 6667079, int(edited[s2]) = 0 s1 = 8021180, s2 = 6667079, d1 = 22, d2 = 19 Dl.O(d1) = 256363554,36994808,29385775,22055787,15952122,15952123,22055790,256378587,47868411,47565718,47020831,47020830,41335321,32487440,24845352,24845353,32487443,41335324,41335370,51557806,63276230,74502857,74502858,71964688,257535696,47828648,256955402,29337981,22006574,15905648,11027086,11027085,15905646,22006571,29337976,37906850,33734683,25927642,19265658,19265659,256161531,25927646,256678947,31536340,24033755,24033756,31100066,23616355,17303219,17303220,21126887,16873791,254720356,30552764,33605588,33605589,32245457,24852728,18356351,13032887,8875343,7265322,4581753,4581750,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019617,267943695,14173330,19787402,14182891,14176999,9747227,6409275,6409274,9747222,8661218,5634162,5634161,8661206,10042610,10041897,10041896,14593668,19789262,26594669,29836266,29836267,29637317,22285581,22285580,29637315,38204006,34581604,34581603,30605476,23186289,21902150,15822403,10964935,10964936,15822406,20281621,20281619,20281618,27209799,35334460,31792066,29394647,22064278,22064279,29394649,24699648,24699649,254522662,11473551,7631521,4828211,4828210,7631516,11473548,16467230,22431396,22431397,20280100,14551333,10012688,10012686,14551331,20280091,20335249,16921032,11842204,7914187,5031037,5031039,7914189,11842208,15959690,22064266,29394631,32155649,24571476,18130189,18130188,24571472,24572079,18130657,12856023,12856022,18130654,254763272,25856550,20281137,14552088,14552087,15820938,10964079,10964078,15820934,21900129,22824841,28159952,28159954,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,7707274,11579138,13173826,8980269,5863027,5863028,8980272,13173830,18540468,25084677,30606156,30606157,37959185,31626384,24121023,24121022,255445786,21659979,15623872,15623873,21659983,23187334,23187336,22064103,15959572,15959570,22064100,29394461,22820858,16601068,16601070,22820860,22823032,16602722,11963637,8008527,5098221,3094441,3094440,5098211,7142883,4878098,2939274,2939277,4878114,7707890,7706695,4877450,4877451,4877494,7706774,7859918,7859917,11772629,16834725,23088460,23761477,31245963,39921675,49939473,61417394,74195872,77312050,66863840,54605775,54605776,66863841,256905338,49081220,268930656,41055807,32261354,32261356,41055811,51213124,62863297,75827462,77312044,64164049,64164048,73110460,86716144,99784951,85831986,72239931,59505057,48117154,38206324,38206325,48117157,59304266,59517992,48130729,48130730,268631868,28159363,20979980,20979979,28159361,36633903,46500883,43400394,34299773,26422936,25376789,25376788,25377244,18792313,18792312,18790845,13384064,9148489,5986815,3743520,3743521,5986797,9148410,9148409,13383962,13385489,13879241,18326409,13383954,13383953,18790713,25375710,25376492,33111113,25376505,18791525,18790721,13383960,10681988,10681989,15449756,21446285,25381074,25376488,18796377,13389563,9153498,5990497,3745807,3745806,2668293,2668292,4442198,3743476,3743474,5986753,254918965,18790681,22405677,22405676,29768778,25378953,18794191,18794192,25378955,32162990,40941869,48250715,41157563,41157564,33114164,32163111,32163109,33754817,255226708,33114166,42063080,43871319,34601107,32162869,24577741,24577742,255257990,40941927,40941928,42909055,40031580,31351298,23857687,17514534,17514533,23857685,31351296,33863529,26041646,19363100,13850113,13850114,255700979,33863534,38339983,38339982,48250705,58500287,58500286,51084336,40941932,32163074,24577967,24577968,32163075,40941933,51084338,47950497,38036894,38036893,38036901,41955945,52296884,47950499,38036896,29473976,29473975,256884995,37472712,31306259,23818939,17483758,12327548,12327547,255562667,26237697,19520510,13973409,13973408,19520508,26237694,28931433,21654020,21654021,255173501,8327790,8327789,12327560,17483774,21654014,28931424,37472802,47379979,49096573,46915651,46915650,48332663,59085006,47685138,47685137,52647835,42262197,33282374,25522180,18912734,13481746,13481747,18912737,25522186,25107185,18557739,18557740,21699910,28982199,28982198,28984780,21701893,15661363,10841706,10841704,15661357,21700101,15660018,10840838,7166713,4513841,2712284,2712282,4513834,7166702,10840809,15659693,15659694,255854559,36992435,28494981,21277803,15315703,10578058,10578059,10840990,7166838,7166839,10840994,15660003,21700080,16246488,16246483,22410045,29773688,38344840,32809450,32809451,41729925,47433883,37526240,28982319,21699934,21699935,23758794,31242978,37526732,29792962,22426986,22426985,29792959,38365723,256918988,47433762,37526091,31242842,31242841,31242868,39918385,48255149,38344883,31242810,23758677,255169361,12286209,17431437,23758672,31242805,39918309,48277306,38365730,38365729,48277305,43123410,34047888,34047886,43123405,53624222,58820801,61507009,74193196,61414389,49936192,47685399,37763214,29201768,29201769,256905361,49881460,39858452,39858451,49881458,49936228,52360012,53624237,269789360,47685382,47685381,49202917,39276317,39276318,49202921,49936259,59085210,59085209,61414453,49936279,49936278,257015454,80356113,66930001,66930002,74193254,268964766,47433668,47433670,58820278,71548563,61414710,61414711,49955814,39938846,39938844,41731784,32811291,32811290,41731778,43930983,54673314,47685331,47685329,53460251,53460250,43930995,34657880,34657881,269174339,47685507,37763307,37763308,47685513,39938808,31263837,31263838,39938814,37763273,37763272,37763318,29298549,29298551,37867703,47792123,59192324,48647474,48647476,47434257,47434258,58820780,47685351,38313836,29745099,22385849,22385850,29745101,34674012,39825037,31142584,23655534,22385863,16227687,11281023,11281024,16227689,22385865,29745124,38313867,33636595,33636596,257230671,65104877,59478866,59478867,72215941,60542295,60542294,53777947,43262183,34172227,26304341,26304339,34172223,43262179,37763035,37763034,47685212,43860017,34589814,33686142,25879743,19220581,13729836,9405588,6162271,3855769,3855768,6162268,9405587,13729832,15595550,20295635,14564289,10021858,10021857,14564274,14608414,14608413,11949343,11949342,17034838,22719871,16514862,16514860,18671667,13279736,13279735,16439866,11454291,11454289,13462338,12742858,12742857,17980446,18046215,20911812,15006633,10336616,10336614,11340229,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,813471,1429906,2473671 Dl.O(d2) = 273533585,164712854,256057626,181365354,269432058,185007995,256057628,164712857,175467316,175467315,164712854,256057626,181365354,171338033,257116194,259066684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8021180, s2 = 6667079, dlinesl.size( ) = 20 s1 = 13265591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13242113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13242113, s2 = 3121605, int(edited[s2]) = 0 s1 = 13242113, s2 = 3121605, d1 = 46, d2 = 15 Dl.O(d1) = 5856035,5675921,3530198,3530201,5675936,8719931,254528148,12816322,18077661,14170816,9742012,6405931,4018927,4018928,6405935,5623374,5623376,8645957,5623322,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167739,9413656,9462950,10621654,7009937,4406838,4406839,7009942,10621664,9382691,9382690,13699826,16643966,21968630,21439044,15443838,15443839,13789763,9455371,9455369,11004528,7284830,7284832,10671453,7048221,7048220,10671450,15436208,18077968,12816622,12816621,17989269,12750310,8665682,5637756,5637757,8665684,12750315,8931181,5829318,5829321,6516788,9915761,9915760,9915827,9915836,6516493,6516492,9915841,14417329 Dl.O(d2) = 98589212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13242113, s2 = 3121605, dlinesl.size( ) = 22 s1 = 8709902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8709902, s2 = 8236468, int(edited[s2]) = 0 s1 = 8709902, s2 = 8236468, d1 = 68, d2 = 62 Dl.O(d1) = 212695284,274013872,187148176,177876802,167381387,167381385,155748402,143196168,129867147,115969780,101925599,101925598,87952993,74350737,61573922,50094117,40073220,31391611,23896952,17551389,12380997,8366260,5399671,3320057,1952993,1952991,3320067,5399691,7843472,7843470,11747722,12406837,12406835,17578694,23895767,31390765,23895757,17549958,255265638,21933072,29254093,254935362,20143589,20143590,254978011,8369982,5401849,3321209,1953548,1953550,3321216,5401863,6049219,4584557,2758243,2758241,2267880,2267854,2267857,3785295,6049064,9236020,12405562,12394580,8376208,8376207,5406488,3323751,3323752,5406491,8377445,7843650,4978909,3282711,3282710,5340776,254843633,17392298,23716098,31200524,39880665,49901785 Dl.O(d2) = 71381612,58645693,58645692,71381611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8709902, s2 = 8236468, dlinesl.size( ) = 2 s1 = 8709902, s2 = 8236468, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8709902, Dl.E( ) = 70, 2.41e-05 seconds used appending s1 = 50618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 50618, s2 = 882631, int(edited[s2]) = 0 s1 = 50618, s2 = 882631, d1 = 8, d2 = 0 Dl.O(d1) = 1027034,578668,578669,1027036,1790847,1790848,1022342,1022341,580494,580493,1030169,254253509,1792158,1793450,1781591,1015974,1015973,1781589,3056737,3076116,1796059,1024778,577459,323077,322923,322925,322972,575492,322068,322071,575497,1021330,1790871,3071154,1797068,1025439,577807,577804,1025425,1797046,3079360,254254601,1029122,1029121,1802736,3052284,3052285,1786734,1786733,3065122,5059162,5062103,5061667,3066643,1787960,1019448,574454,574455,1019450,1787964,3067199,5062365,7955742,11897061,16983102,22949368,22949369,23238283,16966961,16966960,11883812,7944862,7944861,11883809,16971499,17033596,268243125,11896147,11896146,7960403,5063588,3068024,3068023,5063584,5059386,5059387,5078878,3080577,254235972,7980094,11926262,15134605,10438362,10438364,15134608,11687538,11687540,16730068,11916967,11916966,17003988,16975809,11888618,11888617,11902487,16987588,23238185,16966822,11878739,11878740,254130742,3082438,3082238,3082192,3082193,3082249,3144530,1839293,1049646,1049644,1839286,3144517,5161376,8067445,7974947,5074968,3077554,3077556,5074975,7974963,11920632,7983164,7933364,7933365,11869325,16957077,16965616,11880235,7950646,5056682,5056681,7950642,7989929,7790403,7790323,4939340,4939339,7790316,7965531,5067697,5067695,7931527,11867097,14220184,254381238,11880637,11880636,16968638,17012597,17012596,16982537,11896349,11896350,16954091,11866481,7931019,7931020,11866484,16954096,11932749,7985514,5082275,3082416,3082415,5082273,7985511,11932741,11879637,7941686,7941684,5093936,5093933,8001560,11952964,17039197,23235352,254534924,11925155,17011050,16727111,11684381,7791551,4940168,4940166,7791541,11684369,11910727,16996357,23226590,17003594,11916534,7983884,7965987,7958577,5062298,5062297,7958576,11900263,16985669,11901290,11901289,11930486,11930452,11687419,11687375,7793951,7793953,11687385,11947540,9273262,6074264,3800589,3800588,6074259,5088049,5088047,7953762,5064213,5064209,7961146,11894369,12154312,8184799,5254379,3210971,3210970,5079254,3080780,3080782,5079273,7967979,7967978,5165081,5165079,7948658,7987338,5083466,3083221,3083223,5050746,5050747,4531404,2723878,1785105,1017938,1017940,1785117,3062417,5055048,7948691,8348104,8348106,11253570,8350459,8350460,11883478,7944651,7944650,10835149,7162356,4511003,2710659,1570357,1570356,1570318,892855,892856,1570301,1570386,892883,892882,1570381,2710713,4511097,4737208,2855066,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,7470509,7963458,5066060,3070182,1790097,1020803,1020802,1790093,3070177,5066050,7963439,5066096,3070200,3070201,5066098,254817883,16280233,16280092,12022277,12022278,16280531,11323150,11323149,15760158,10914616,7218329,7218330,10914617,15759636,11321544,11321545,16279311,16279312,12022271,8082584,8082585,11321540,7518180,7518181,11321901,16280805,16281061,16281060,15759972,10914435,267886477,4547876,7218195,10914441,7517778,7517777,11321492,16280433,22449847,29817501,37695221,47267168,37357195,28817568,21548472,21548473,28817570,37357196,38390147,48300584,59687272,50562108,48359565,38457753 Dl.O(d2) = 22545606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 50618, s2 = 882631, dlinesl.size( ) = 2 s1 = 50618, s2 = 882631, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 50618, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 369324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 369324, s2 = 8693039, int(edited[s2]) = 0 s1 = 369324, s2 = 8693039, d1 = 0, d2 = 44 Dl.O(d1) = 9279174 Dl.O(d2) = 16856878,16856879,23116214,30534894,30534895,257007955,60467116,73214079,259444133,114860466,128758184,116506882,102411884,88412040,74780731,65965521,65965522,79328856,93459391,107888239,122304217,136280740,149546136,161850845,173015795,182913260,191556807,198985419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 369324, s2 = 8693039, dlinesl.size( ) = 8 s1 = 15002452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15002452, s2 = 16267862, int(edited[s2]) = 0 s1 = 15002452, s2 = 16267862, d1 = 27, d2 = 0 Dl.O(d1) = 185048633,273855421,215620373,218987356,264880043,209506738,204069593,263728737,181025209,170909427,159584447,147229020,134012614 Dl.O(d2) = 1178625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15002452, s2 = 16267862, dlinesl.size( ) = 2 s1 = 15002452, s2 = 16267862, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15002452, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 9793717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7944250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7944250, s2 = 10348166, int(edited[s2]) = 0 s1 = 7944250, s2 = 10348166, d1 = 0, d2 = 4 Dl.O(d1) = 9555735,6270175,3925844,3925847,6270184,9555748,13922191,19454665,25832314,19218940,13728185,9659703,6352150,6352148,9659695,14041518 Dl.O(d2) = 258475782,72547144,79242517,258151270,256961626,26316117,19590755,255101074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7944250, s2 = 10348166, dlinesl.size( ) = 2 s1 = 7944250, s2 = 10348166, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7944250, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 9071276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7860720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1711620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 377332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16276047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7927272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3788846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7917190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8666752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8041536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 118918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 118918, s2 = 12776573, int(edited[s2]) = 0 s1 = 118918, s2 = 12776573, d1 = 1, d2 = 1 Dl.O(d1) = 152355,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152352,152301,152295,275527,490310,869355,1532257,2650091,4418001,6410670,4021746,2409780,1394333,1394335,2409789,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317333,15317367,15317368,254522456,9499696,11579155,16602473,254906884,255412586,20191404,15550553,11098705,7360426,7360425,11098700,15987626,22095998,21573554,15550518,10755122,7105521,7105518,10755118,15550509,21573541,28845287,22096093,22096092,22102823,22102824,28845327,29479120,22141744,22141743,23242880,23242879,28332381,21120896,15173305,15173304,15550501,21573525,15987987,255448995,15987388,11098542,11098541,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,15987668,15987667,15992534,11102035,11102036,255449265,29298541,29298540,28843292,268210230,21573505,21573506,22129905,16015131,11119614,11119615,16015133,22129908,29464673,31522571,29426749,29426394,22095601,15987331,11098522,7360341,4649336,254523233,11098523,15987337,22095611,22102816 Dl.O(d2) = 152355,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152352,152301,152295,275527,490310,869355,1532257,2650091,4418001,6410670,4021746,2409780,1394333,1394335,2409789,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317333,15317367,15317368,254522456,9499696,11579155,16602473,254906884,255412586,20191404,15550553,11098705,7360426,7360425,11098700,15987626,22095998,21573554,15550518,10755122,7105521,7105518,10755118,15550509,21573541,28845287,22096093,22096092,22102823,22102824,28845327,29479120,22141744,22141743,23242880,23242879,28332381,21120896,15173305,15173304,15550501,21573525,15987987,255448995,15987388,11098542,11098541,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,15987668,15987667,15992534,11102035,11102036,255449265,29298541,29298540,28843292,268210230,21573505,21573506,22129905,16015131,11119614,11119615,16015133,22129908,29464673,31522571,29426749,29426394,22095601,15987331,11098522,7360341,4649336,254523233,11098523,15987337,22095611,22102816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 118918, s2 = 12776573, dlinesl.size( ) = 2 s1 = 118918, s2 = 12776573, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 118918, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14112363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1367230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1367230, s2 = 13372439, int(edited[s2]) = 0 s1 = 1367230, s2 = 13372439, d1 = 12, d2 = 44 Dl.O(d1) = 34642487,26651320,255611568,6423622,6423624,6423641,6423642,6868811,8579223,8579226,10419501,10419500,6868824,6868823,10419515,15106766,21032530,16864235,11796157,11796156,11627023,7745138,7745139,10872471,7188597 Dl.O(d2) = 60431347,73178149,86790609,87851548,74246766,61468191,49990805,46588097,46588096,57964558,57964570,268644660,58888077,47508580,37604411,29055968,29054562,21760003,15704865,15704863,15705793,254614596,37604412,37998260,41914887,52252819,60756797,49353725,39424058,30819157,23390151,23390150,30819156,23390153,23390154,30819165,28739774,21482148,21482147,28739769,37271979,257448837,268682674,268257678,39424064,49061249,49061250,42315916,37341309,37341308,47251052,257187588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1367230, s2 = 13372439, dlinesl.size( ) = 2 s1 = 1367230, s2 = 13372439, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1367230, Dl.E( ) = 46, 2e-05 seconds used appending s1 = 8057594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8057594, s2 = 6559838, int(edited[s2]) = 0 s1 = 8057594, s2 = 6559838, d1 = 89, d2 = 66 Dl.O(d1) = 256840992,4944582,4625975,2888306,1676369,953750,953752,1676377,2726575,2726577,4536012,7144050,7144589,7144588,10811840,7197126,4534272,2725625,1579296,1579294,2725619,4534253,7197102,6502885,6502884,6489409,4066252,2433264,2433265,1743959,1743960,3002963,3008115,4979806,4072047,4072048,6498547,9889876,6498928,4072272,2436716,1409054,801623,801624,1409056,2436722,2434939,1408142,1408141,2434933,4069204,6494069,9883963,9883942,7832574,4971893,3003047,1744001,990981,990980,1743995,3003038,4971882,7832560,11731874,14384718,14384717,16617301,14384734,10887655,7199653,7199651,9862979,6478860,6478859,9862975,7531820,4764465,2872136,2872135,4764464,6488582,6553600,6553599,9876621,6498362,4071930,2436510,2436512,4071939,6498381,7145107,4499115,2703439,1566531,1566532,2703444,4499135,2703731,2703727,4063292,4063290,2439606,1410520,1410521,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454035,255915,255913,454028,801244,1408282,2435179,254315629,2439530,4077246,5359721,8306933,6504607,6504608,9883856,6493986,6493985,6507804,6499751,6487375,6487374,4073010,4073009,4070495,4070494,6485389,6485390,9872170,7797313,7797314,11691238,16733964,16014443,16014444,14383800,9889419,9889420,9875185,9875187,9873226,9873227,11049718,9868803,6482816,4062324,2431211,2431214,4062339,6482854,9868846,7146644,7146642,10814283,15627886,20056469,14371227,9898264,6505321,4076483,4076482,6505315,9891387,9891382,9888443,6497354,6497356,255326083,26951504,29081862,29081863,256216275,26958475,35011368,26929609,20044102,254970773,6481558,6481557,9866765,12287048,12287050,14367980,9874129,6486665,4064585,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942259,1706305,1706308,2942309,4882945,7714869,268046917,6488461,4065678,2432964,254214109,254214107,4065661,6488430,9876520,14370588,16589092,268093983,11590448,16616768,14363991,9870592,6484166,4063150,4063153,6484180,9870612,14364014,14371941,14371940,14387562,9893270,9893272,10889659,9870535,6484112,4063114,2431657,2431656,4063102,6484098,9870522,14363926,14375150,10814502,7146826,4500279,4053089,2425797,2425796 Dl.O(d2) = 23158574,255965259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8057594, s2 = 6559838, dlinesl.size( ) = 2 s1 = 8057594, s2 = 6559838, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8057594, Dl.E( ) = 98, 2.69e-05 seconds used appending s1 = 9747175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16241743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9757059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8464526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8464526, s2 = 8464495, int(edited[s2]) = 0 s1 = 8464526, s2 = 8464495, d1 = 1, d2 = 1 Dl.O(d1) = 87967719,258888215,61589156,50109181,256527003,23918492,17576778,13534786,13534787,15184444,15184445,10567946,10567949,13527573,10556084,10556083,6962242,4374208,2620278,1512628,1512629,2620281,4374215,6962257,10556132,12255524,12255523,10534840,10534841,15267594,15267606,10564177,10564176,15267644,10534884,10534479,6947361,6947363,10534493,6958748,4372123,4372124,6958754,10533171,10533169,10566222,15302029,15291563,15291557,17156921,17156909,15300084,15276424,10542660,10542663,6972378,6972381,10570817,15294905,10559400,6972190,6955605,4370310,4370309,6955600,6961178,6961264,4373663,2620007,1512495,1512494,254331515,2673891,2673889,4450866,6066237,9261928,267799198,15290462,18955897,254268286,10552218,8116707,5199981,3172377,3172378,3172475,1857068,1059789,595883,332197,182912,100299,100298,182906,332185,595859,1059739,1856984,3172318,5199861,6057296,6057295,9248903,7069198,4450801,2673851,2673853,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,12054038,17150524,15474572,15474573,17150496,16145880,11216966,7442625,7442624,11216964,16145876,12052906,12052905,13513421,9246444,6055818,6055817,6952019,6952018,9237120,6049801,6049800,4093436,4093437,6532950,6952028,8383717,5410165,5410166,8383719,12404933,17576780,256021591,40088711,50109182,61589158,74365593,260126899,101940271,260723373,129882003,143211556,155763778,167396191,177890859,187161266,195231508,202129781,207927619,212705880,216611980,219849616,222581666,224927852,226965953,228743198,230308166,231700056,232950901,234082906,235113503,236050104,236901755,237676605,238379987,239020994 Dl.O(d2) = 87967719,258888215,61589156,50109181,256527003,23918492,17576778,13534786,13534787,15184444,15184445,10567946,10567949,13527573,10556084,10556083,6962242,4374208,2620278,1512628,1512629,2620281,4374215,6962257,10556132,12255524,12255523,10534840,10534841,15267594,15267606,10564177,10564176,15267644,10534884,10534479,6947361,6947363,10534493,6958748,4372123,4372124,6958754,10533171,10533169,10566222,15302029,15291563,15291557,17156921,17156909,15300084,15276424,10542660,10542663,6972378,6972381,10570817,15294905,10559400,6972190,6955605,4370310,4370309,6955600,6961178,6961264,4373663,2620007,1512495,1512494,254331515,2673891,2673889,4450866,6066237,9261928,267799198,15290462,18955897,254268286,10552218,8116707,5199981,3172377,3172378,3172475,1857068,1059789,595883,332197,182912,100299,100298,182906,332185,595859,1059739,1856984,3172318,5199861,6057296,6057295,9248903,7069198,4450801,2673851,2673853,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,12054038,17150524,15474572,15474573,17150496,16145880,11216966,7442625,7442624,11216964,16145876,12052906,12052905,13513421,9246444,6055818,6055817,6952019,6952018,9237120,6049801,6049800,4093436,4093437,6532950,6952028,8383717,5410165,5410166,8383719,12404933,17576780,256021591,40088711,50109182,61589158,74365593,260126899,101940271,260723373,129882003,143211556,155763778,167396191,177890859,187161266,195231508,202129781,207927619,212705880,216611980,219849616,222581666,224927852,226965953,228743198,230308166,231700056,232950901,234082906,235113503,236050104,236901755,237676605,238379987,239020994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8464526, s2 = 8464495, dlinesl.size( ) = 2 s1 = 8464526, s2 = 8464495, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8464526, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7999438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13962153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13962153, s2 = 14854005, int(edited[s2]) = 0 s1 = 13962153, s2 = 14854005, d1 = 70, d2 = 58 Dl.O(d1) = 33540507,25751730,25751731,255688426,25471625,18871355,13447508,9195859,6020362,6020364,9195862,11655907,7767320,4920923,2967285,2967284,2970233,2970230,4924878,7772008,11660719,16700147,12229127,8256859,5326689,3274083,1925772,1100353,1100354,1925774,3274090,5326704,8256889,12229171,17359026,12229053,8256819,8256818,12229049,17359022,23679338,31167692,24462782,24462783,18043765,12790857,8695879,5659973,3520026,3520024,5659978,8695890,12790873,18043792,24462859,24462862,32024532,24462818,18043699,17359153,12229142,8256869,8256868,12229137,16700123,11660706,11660707,13539008,13539009,18974218,13538998,12229102,8256847,8256848,12229106,17359102,23679427,23679486,17359186,12229164,12229165,17359191,18974089,18974088,25581995,24462808,23679334,23679333,24462798,18043683,12790789,12229122,12229123,13539019,12790844,8695872,8695871,12790836,17359066,17359067,23679382,23679363,17359041,12229062,8256823,8256824,12229066,17359050,18974234,18974235,268458269,24462764,25581966,18974042,13538864,13538865,18974044,23679396,31167727,32024496,25581703,25581704,31167818,23679488,17359155,255269483,255269481,18973962,13538808,9268067,6070635,6070636,9268069,12229083,17359072,23679390,23679412,23679344,17359028,17359029,23679290,17358982,17358981,268299561,18974025,24462813,268123969,8695850,5659962,5659963,8695853,12790808,255606127,18973916,255606121,12790797,8695847,8695846,6070677,6070678,6070707,6070705,9268194,13538706,18973837,23679386,18974166,17359058,12229071,8256827,8256828,12229074,13538819,13538817,18973857,13538728,9268017,9268016,13538724,13538995,18974214,18974205,255673351,13538914,13538915,18974116,17359044,12229064,9268089,9268088,9268135,9268073,9268074,9268051,6070626,3798231,2274993,2274992,3798226,2275002,1319252,752554,427441,427442,752557,1319259,2275020,3798275,6070717 Dl.O(d2) = 3732691,3732692,254645901,13349228,13349266,18750477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13962153, s2 = 14854005, dlinesl.size( ) = 2 s1 = 13962153, s2 = 14854005, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13962153, Dl.E( ) = 196, 6.41e-05 seconds used appending s1 = 11038380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038380, s2 = 9177469, int(edited[s2]) = 0 s1 = 11038380, s2 = 9177469, d1 = 27, d2 = 4 Dl.O(d1) = 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,64103453,52254689,41916531,32976491,32976492,41916538,52254701,64103468,77250090,88103683,86942085,86942083,95336790,95336789,91168441,84067305,80361912,80361914,94415660,260124642,120361512,114019055,270509036,86031653,99993276,114019057,260858206,114099535,114099534,127984352,115657870,115657869,129544056,139445388,126074262,112218135,112218136,103717089,103717090,117870624,115657860,114562170,100531503,86570409,259430923,258649445,70773589,84332397,98239701,112218122,126074250,259683626,101625976,115666783,259509706,258263250,61720217,258898515,88557134,74918830,62114862,50615459,50615460,60244048,60235537,60235528,52796019,52796021,64709911,60235389,48841149,48841151,60235457 Dl.O(d2) = 10822296,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941127,25091378,22941119,20237833,14522042,10819331,7150340,4502862,2705910,2705909,4502852,6568274,9994114,14524768,255755889,35251214,44635651,55485721,67826983,270664157,93012349,93012348,107421083,112869048,98881971,84956658,84956659,93012346,107421080,121803721,135743276,141134227,127776925,127776924,133859990,133859989,121803696,259679350,99883714,85928675,72334786,72334785,258282254,58158344,46790944,46790945,48212103,59599521,257186544,257186542,48212051,50339833,50339834,61822983,74614682,88244957,102243558,102104770,88118386,86450372,86450371,100407033,257175064,61500413,63883358,58804037,47416840,41750866,32830071,32830070,41750863,269490473,46308983,36456184,27997785,20833506,14934962,10271307,10271306,14934961,20833504,257995969,70344207,83869437,97728346,97728339,83869428,70344199,70344200,258619937,97728353,259865063,97728336,88459337,259544933,116562335,128879189,258978390,87950327,269949680,100923036,86940701,73330206,60586023,60586022,60586027,60586028,49186026,255797804,255371636,16984709,11899081,11899080,16984708,23248633,30664612,39260217,49186038,269766354,256823642,39260204,255371638,23248632,30664607,39260208,49186031,60586034,269766356,80289014,259163488,100428914,100428913,114453462,128330547,141680338,128879208,128879207,142231106,154865673,166567341,177142134,186490752,194638669,194638668,191651345,191651344,263615738,184123915,174475333,163639291,151763949,260703488,261065707,261558150,142954269,129627577,259163490,87713540,87713541,101687325,87713548,87713547,271387953,100428916,86471765,86471766,257314486,60139340,255748086,30241241,22847656,16623792,16623796,16623778,14171624,14171622,15395598,21377310,28612909,37123772,37744991,43257433,34167147,256702253,53773309,270066509,270635748,257994347,36432522,27973524,27973525,31043940,36432524,36432523,46285638,52262001,256626379,32983316,41923654,52262004,46285643,36432527,256805589,257180889,39721618,31043942,23560954,17250681,255545123,31043939,39721616,256454787,256454789,46285635,49739931,39721613,39721612,49739926,49739933,61218140,73996894,87597542,98253545,84346069,84346066,268423794,98893176,112881043,98893169,84967391,71392560,58657449,58657448,71392559,268970070,112881036,126733204,140081441,259450552,140081438,140081437,152772209,140081434,126733198,112881030,112881029,112881028,112881027,126733195,112881041,112881042,111892918,97955167,271289787,97955172,84081228,270794501,84081241,97955191,260485389,97955177,84081230,70544127,70544128,84081232,97955181,111892929,97955188,97955189,111892937,125710642,112939946,98950530,85025265,71452954,71452955,73610892,60860799,49457794,268080098,23477029,17194630,12090783,267970622,23477028,30913722,29926497,29926496,33012715,33012716,25326842,18747897,13347517,9120503,5967847,3731987,3731986,5967843,3843576,3843575,6142761,9376953,13691981,19173710,15630639,15630640,14256021,9798682,9798681,10816644,10816643,7915096,7915094,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384547,11132868,11188737,11188736,16108081,22245006,23924562,20960833,15808873,10954952,10954953,15588580,14599924,10046078,10046079,7125246,4486064,2695272,1562141,1562142,2696684,4488782,7130254,10792342,15600598,14607234,10391850,10391847,10377814,6838254,4290552,4290551,4487057,6783017,4252046,4252047,6783024,10312207,14488982,14488981,20193470,25512648,33273087,42252529,46486052,256270718,36503521,36503520,41904269,32965108,25243298,25243299,32965109,269070629,269980163,77233190,64088793,52241390,41904268,41904266,52241387,64088789,77233189,271024215,99588965,258198112,72051258,59316434,47923372,47923373,59316436,72051264,269838674,99588952,113604293,127478632,127478652,127478639,127478637,113604303,113604304,127478621,113604285,99588947,99588949,113604289,127478625,127478649,126103791,112247887,98268291,98268292,98268285,84360003,70801554,58084772,58084771,49913609,39893648,31216404,31216405,39893650,49913613,269296378,258651273,61394010,74174571,259017960,115799740,126318094,112451794,112451793,107880517,93451250,79319967,65956081,53889336,43365334,34265794,34265793,43365333,53889334,65956075,70975393,70975394,84538795,79325473,65961877,53895452,43371680,34272814,26397596,19663578,267982288,34272810,34272811,34265331,254801100,19653919,26388278,31244664,23760200,17432623,17432624,23760201,256513363,49938344,258251411,87798350,75420697,62501639,50901350,50901349,62501636,62501634,62501635,75420694,62501641,62501640,75420690,62501626,50901332,40784725,32028181,24466080,18046378,12792859,8697262,5660945,3520657,2094366,2094367,3520659,5660950,8697272,12056795,14523515,9993503,9993504,14523872,20240500,27151057,35249429,38194302,30518396,23102149,16845405,16845404,23102147,30518389,39115662,46851003,36972151,28473996,21254284,15289701,10554936,6961477,4373791,2620069,2620072,4373797,6961485,9913625,9913626,14414554,20104302,20229083,16071869,16071868,22200890,29544085,35231204,27136634,20229995,15289725,15289727,20240068,25130165,20240060,14523521,9993274,6567772,6567771,9993271,6567883,6567884,9993494,14523858,20240486,27151039,22275668,22275669,21254332,15289723,15289720,21254328,28474035,28473973,21254257,15289682,15289684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038380, s2 = 9177469, dlinesl.size( ) = 2 s1 = 11038380, s2 = 9177469, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11038380, Dl.E( ) = 28, 2.41e-05 seconds used appending s1 = 1330526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1330526, s2 = 14162025, int(edited[s2]) = 0 s1 = 1330526, s2 = 14162025, d1 = 3, d2 = 14 Dl.O(d1) = 70390296,60444899,49041149,39111421,39111422,49041151,60444902,51417097,41220426,41220279,41220278,49255306,49255307,59140523,47741855,37819488,29254155,29254157,37819492,255669160,28452461,21225636,21225635,28452459,22537911,16363463,11388321,11388322,16364661,22539569,29894983,31814871,31814872,40510922,50546609,43220916,39711044,39711043,269065898,40510904,31814860,24299316,255511560,12693761,17916494,24299315,30853894,23423189,23423188,30853892,31814864,24299318,17916496,17916497,24299322,31814868,40510915,50546603,60063873,71958235,85076301,71504295,58774963,58774964,62038408,257580690,31814876,31814877,40510934,50546625,62038411,72011757,61208016,61208018,73986996,73987016,87587311,90775052,85076302,85076303,95087901,81029523,81029524,258373264,91150704,77234926,77234927,71393251,67560231,55280911,55280914,67618810,58658224,58658225,71393245,84967981,72802198,72802197,67560222,67560223,67560242,55216660,44365614,44365613,51971050,51971049,63786293,76896226,255968314,88468035,81029527,257007804,44365604,34987647,26907105,26907104,34987645,44365601,44365572,34987616,34987617,44365575,47502504,47502507,58881753,54604092,44436794,35062746,26979455,26979454,35062741,44436785,55280918,58658223,58658222,54604111,54604112,66862119,73289393,60546095,60546094,73289390,81029536,67560246,55216665,55216661,67560244,71075469,71773514,59031065,49260426,39334917,39334918,49260429,255962396,33443403,33443402,38070826,38070825,47982956,59372937,72105462,72105458,68114578,55718164,44811628,35387050,27261731,20327554,14588365,14588364,16246850,11295355,7499302,4740503,254239017,1658044,2856927,4740500,7499296,11295346,16246831,22410526,29774332,38345614,38345613,38345594,29774294,29774293,29507167,22166887,16044088,16044089,22166889,16837595,267985918,4989317,3013601,1750491,254249013,4989312,7861057,11774478,8840688,5761534,3588545,3588546,5761538,8840695,12986432,18295687,18295676,18295677,24775429,30813768,23384794,17113763,12026403,12026406,8085659,5180691,5180690,8085669,12026922,15010202,10486935,10486933,12902122,8776537,5716036,3558306,2120041,2120040,3558304,5716032,8776530,12902111,17200482,268430077,39531971,33521412,33521413,41304260,48761408,59518041,48130786,268635655,16157362,11225593,7448447,4706074,2834997,2834998,4706076,7448451,7639233,6868981,6868982,10419743,15107107,16486593,16486595,14614872,10056006,10056003,14614946,20361314,27300233,27300145,20361259,14614910,10055982,6607292,6254563,6254562,9534398,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,27299827,24561168,18122137,16707918,11667341,11667339,16487814,22687835,26113886,31986485,31986484,30066478,22687934,22687933,27964338,22679450,16485895,16485899,21033028,21033042,21033061,16708399,16708398,22944452,27300061,27300062,27300205,30583237,35432637,35432638,44871112,35432500,27300101,20361228,14614895,13894648,13894647,19420884,22944623,27300051,27300052,27299796,20361027,20361025,20361045,20361047,20361032,20361034,27299811,23165431,23165430,24842430,32484360,32143654,24561147,19420897,16489288,16489287,18122126,23092865,30507781,27299946,27299945,20361128,14614847,14614848,20361135,22944491,16708413,11667711,11667710,16708407,22944469,30345332,30345323,30345325,30345408,22944029,16707986,16707985,22944023,30345395,35432238,30346050,22944634,16708514,16708516,14614835,14614836,20361107,24147184,17780598,12583693,12583694,17780602,24147191,23165444,16902857,16902858,23165451,30345805,22944432,22944435,26113893,26113891,33950365,27300120,27300121,30056114,38630255,39180988,39180987,44871192,38931793,30345881,22944508,16708421,11667716,11667718,16708428,22944519,30345894,38931806,38928673,30342480,30342479,30345366,30345364,38931349,48851159,55800601,47410615,37503117,28960085,21678316,21678315,28960078,37503099,40351734,40352101,31657428,31657429,31657441,39709523,31657202,31657200,30507761,30507760,36723931,30345789,30345788,31657181,24147037,24147034,31657168,35414438,35414437,44839514,55483859,48556425,44871193,38931883,38929131,30345930,22944546,16708441,16708438,22944537,30345917,38931847,48851480,48851528,60242360,60242361,48851066,38931586,38931585,40352169,48851057,38931613,38931614,37503085,28960073,28960074,31657068,24146975,24146977,31657074,27299802,27299801,35229702,35229703,44610761,48379452,38477323,38477322,40031989,31351759,31351758,40031982,40351694,40351842,44610673,44610676,50386432,48556437,48556438,40030314,40030316,31656935,31656931,31656930,31656948,31656923,31656924,38931838,48849332,48849333,60242868,61876242,50386478,48851071,38931241,30345257,30345256,38931236,48851063,50386655,40351820,31657147,24147022,24147020,31657055,24146971,24146972,31657060,40351729,50386565,44610748,44610749,38477332,29918236,22559688,22559687,29918207,29918208,29918214,38477306,38931632,48851348,60244558,55459111,48851383,38931682,38931681,31349777,31349778,24146914,17780472,17780473,24146921,31656959,40351596,48851468,60053540,60053539,59762128,59762127,61876236,60244395,60244386,48851060,48379592,48379590,59762273,61876356,50386652,40351814,31657137,31657138,31657047,30153876,30153877,38736045 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1330526, s2 = 14162025, dlinesl.size( ) = 2 s1 = 1330526, s2 = 14162025, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1330526, Dl.E( ) = 16, 2.41e-05 seconds used appending s1 = 8165528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13348147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14125069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9798775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8014449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7960126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 858741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 813586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 813586, s2 = 11098886, int(edited[s2]) = 0 s1 = 813586, s2 = 11098886, d1 = 241, d2 = 26 Dl.O(d1) = 21127816,15179376,10469816,6902413,6902415 Dl.O(d2) = 51279330,256111154,32291556,41100906 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1217615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9822813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13257475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 215792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7913318, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1048291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1048291, s2 = 6449564, int(edited[s2]) = 0 s1 = 1048291, s2 = 6449564, d1 = 27, d2 = 25 Dl.O(d1) = 26635386,19823606,14200057,9761403,6418014,6418012,9761398,13534286,16178108,16178109,22323357,29674305,38239242,40467161,31772303,24260094,17882515,12666272,8601772,5589683,3467825,2676039,2676041,4454657,7075739,4543573,2731286,1582610,1582611,1582620,1582619,2731303,4543605,7211408,10903854,10569076,10569078,10569033,6971141,6971140,7064373,254260092,12403408,15305620,15305623,21267196,22323252,21267177,15305610,15305611,12396633,8377737,8377736,12396628,17568211,21242238,15274939,15274940,21122297,22518769,20989656,15076436,15076435,15474057,10700488,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,12384307,12384305,13524476,13524477,12088731,12088728,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,5605716,8622043,12691984,12383875,12383871,17546586,16195218,11257864,11257863,11618462,12376903,11618187,8274220,5338887,5338888,8274224,12251345,12692094,8622118,8622117,12667144,12667149,8621702,8621706,11618684,7737567,7737568,11618689,8364001,5398416,3319442,1952707,1952705,3319433,5398398,8363975,12377462,17547264,16651658,11619151,7737844,254800361,16651656,22880018,22717942,22717943,23733563,17408909,12268645,12268644,17408906,256006553,257058031,49914911,61395181 Dl.O(d2) = 254590826,2687233,2687234,4472834,7104395,10753333,15547929,21570315,15564928,15564925,21591288,21135670,15185865,10474867,10474864,12308007,8313287,8313289,12308006,17458945,23790375,29740833,22382129,16224737,11278796,7486951,4731360,4731359,7486950,11278791,255468933,29740839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1048291, s2 = 6449564, dlinesl.size( ) = 2 s1 = 1048291, s2 = 6449564, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1048291, Dl.E( ) = 30, 7.87e-06 seconds used appending s1 = 8322181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14141611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8040053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 417835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8274204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6459936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 524659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 423211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 423211, s2 = 604714, int(edited[s2]) = 0 s1 = 423211, s2 = 604714, d1 = 6, d2 = 8 Dl.O(d1) = 10760898 Dl.O(d2) = 15557359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 423211, s2 = 604714, dlinesl.size( ) = 20 s1 = 607939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7898657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14596079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11079332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 52238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 52238, s2 = 8134714, int(edited[s2]) = 0 s1 = 52238, s2 = 8134714, d1 = 36, d2 = 25 Dl.O(d1) = 1085739,609671,339181,339183,609681,1085754,1901424,1901425,2852699,3221552,254581697,12165380,17286302,23598831,31082704,39760662,38596699,38596700,31516780,31516781,33587017,40204698,40205121,50226437,50226436,50234619,50233931,50227672,40206209,40206210,50227673,58697763,60731980,49330149,49330148,50232288,40211394,40211129,31525116,24023168,24023166,30024481,31527784,24025614,22103820,22103819,17670465,12495657,8463965,8463963,12495652,17670448,24019363,31520703,31526050,31519457,31519456,31525444,254187882,22467187,16299231,16299229,21726512,15680497,15680495,18820628,13408110,13408109,18820625,22669341,22669342,23129641,16869277,11800386,11800385,13408189,9166993,5999873,3752248,3752250,5999879,9167008,13408211,18820790,21733755,15685489,10858688,10858690,15685490,13408808,9167380,6000071,3752335,2247043,1303398,1303397,2247040,3752331,6000064,9167370,254746210,13408376,13408377,18821048,25412785,29023162,29023163,255530426,18820588,13408086,9166936,9166937,13408092,18820597,25412201,21733746,21722956,15678162,15678164,19495866,25609840,33154002,29022859,21733792,16804217,16804209,11750497,10858718,7178984,4522348,2718188,1575025,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,21750328,21750325,24235373,29688124,22335586,16188031,11252414,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033429,29033427,37580751,47468557,47475438,37569593,37569594,47475443,58853265,50480830,50477175,40440382,37575449,29028449,21737971,15688486,15688487,21737979,29028475,37575479,47459385,37551884,37551885,47459389,58844776,58863551,61970326,268928052,47468009,47468008,50530878,40495137,31800067,31800069,40495140,50473066,40438056,31743843,31743844,40438060,40436884,31742732,31742731,24233158,17859441,12647357,12647361,17859462,17856632,17856628,24229143,31738072,37561270,37561271,29017409,29017412,30869770,23441380,17167557,12071097,12071095,17167543,22535818,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728987,61207482,50467704,40429802,31735650,31735647,28272207,28272210,31749949,24238663,24238662,31742590,24233137,24233139,31743041,40437268,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857331,17857334,24230238,31739449,40433708,42108649,52461242,55230834,55230833,67573672,71586849,58863307,47480942,47480941,58863306,59483360,59483361,50474193,50474192,256893224,47494755,37590405,29042980,21750255,15697338,10866478,7184443,4526121,2720720,2720721,4526127,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229133,29039967,37587464,36945541,36945544,37558982,29012604,29012598,37558967,46651875,46651878,47476656,46823416,46823414,47480894,37575153,30051683,24233240,24233241,31743162,30051701,22675803,22675800,21703075,15662181,15662178,21703056,28986319,37530960,47439122,49283614,39356572,39356570,37557335,37557334,42107951,47464749,38887487,30301568,29938430,22575498,16392578,16392576,22575489,29938408,38502013,33153816,25412694,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973 Dl.O(d2) = 22694744,30075213,38651484,39797962,31117359,23630811,23630789,23630788,31117324,31117337,31117335,31117264,23630755,17314848,12190276,12190278,17314854,20990221,28171022,36646620,32834748,25129536,18576792,13201592,13201593,18576797,25129550,32834781,29955692,22591566,22591565,25129341,25129340,25129208,18576611,13201502,8999682,8999684,13201509,18576623,23375604,23375606,23375634,23375631,30803436,39408101,49337481,49818402,39797891,31117309,31117166,23630684,17314801,17314799,23630676,31117152,31117332,26967902,24083890,17726576,17726578,24083896,21165650,15208731,15208732,21165658,21165635,21165637,28383481,31117126,32822964,25118807,25118808,32822969,38520740,38520573,29955712,22591572,22591573,29955720,38520595,37366122,37366117,29027118,21736882,15687702,10860165,10860167,15687710,21736898,29027153,37573995,35237248,27141432,20233558,20233555,23630590,17314745,12190221,12190217,17314735,17314860,23630773,31117300,39157338,39393997,30791452,29955201,22591172,16408602,254785349,254743055,7148470,10816539,15630511,11313618,255094217,22438008,16804438,255065132,10993388,15861039,17314786,12190241,10359338,10359340,15031517,20874979,14972974,10305217,10305219,12009809,12009806,16097293,22232142,29580014,255384564,31218532,23734462,23734461,31218529,39895457,35024766,26943975,255096270,39025862,48948537,44808126,255891042,47013051,48948552,48948544,39025866,30436348,23029719,16787197,11737761,11737762,16787200,23029726,30436358,36602980,36602981,39025852,38239480,29674641,22323795,22323797,29674645,38239484,44413755,35039481,35039482,42172240,40282300,31597981,31597980,37300077,28767215,28767216,30680638,36650387,46517559,46469777,36602982,30753691,23331176,17064491,11973312,11973311,17064488,23331172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 52238, s2 = 8134714, dlinesl.size( ) = 2 s1 = 52238, s2 = 8134714, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 52238, Dl.E( ) = 38, 2.5e-05 seconds used appending s1 = 9345784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6466983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6466983, s2 = 7252707, int(edited[s2]) = 0 s1 = 6466983, s2 = 7252707, d1 = 82, d2 = 95 Dl.O(d1) = 254842159,5331858,8264102,5335728,3279913,3279915,5335733,5363781,8264469,8268674,5335295,5335294,8268670,7460537,7460536,5332659,5332660,8265133,8265991,12238896,12238897,8303994,5357896,3293556,1937065,1927596,1927595,3277123,5331487,8263593,5360290,5360289,5363029,5330535,3276533,1927244,1927243,1928705,1101957,1101955,1928701,3278999,5334309,8267382,12238379,10757731,7272147,4586085,4586084,7272143,10986144,15851799,12640095,8582268,5576441,5576440,8582266,12640092 Dl.O(d2) = 264578993,274425739,274819315,266871133,240685284,241151676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6466983, s2 = 7252707, dlinesl.size( ) = 80 s1 = 6514206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7847507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7847507, s2 = 11145832, int(edited[s2]) = 0 s1 = 7847507, s2 = 11145832, d1 = 24, d2 = 17 Dl.O(d1) = 8196934,5266917,5266916,5962160,268606342,10802748,7137932,7137933,8201985,254393423,3227218,5272912,254836887,15613610,10802746,7137929,7137931,254584135,3244428,1904192,1087066,1087068,1904202,3198670,3198666,5239576,4605307,2771543,2771540,4605292,7300860,7305506,9112949,8391300,5415164,5415165,8391302,7530371,7530370,11332615,7636692,7636691,255107147,17336101,12210293,10794608,7131948,254581685,3221507,3221508,3241457,254396935,1917301,268555438,254834713,5245363,3203814,1876065,1097286,615951,615950,1075718,1075723,1077642,1077640,1093874,614142,614141,1093949,1915414,3217167,3217169,5261887,7819931,5310425,3260461,3260462,3228001,3227998,5273706,4626314,2786333,1616324,1616325,1085381,1085380,1901483,3240736,5289150 Dl.O(d2) = 272217211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7847507, s2 = 11145832, dlinesl.size( ) = 8 s1 = 9820245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 436889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7851514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6483048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6473135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14024380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11025130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11025130, s2 = 15401124, int(edited[s2]) = 0 s1 = 11025130, s2 = 15401124, d1 = 7, d2 = 8 Dl.O(d1) = 7562416,4781894,2881588,1672089,951247,536403,536404,951251,1672096,2881598,4781911,7562434,11382708,16356481,22529187,23573975,22503543,22503540,22514216,17312998,12188602,12188601,8231400,5303188,5303189,8231406,12200412,17325769,18725475,23029969,23653606,17336584,16694624,16694625,22509466,16335840,16335839,22509464,29859071,22495431,16321625,16321624,16321990,11355413,11355412,16321987,267798758,22517065,16343620,16302770,11354879,11354877,16321116,22494797,22777919,28286784,28286783,29853690,28308770,23621499,23621500,28315189,22493073,22493072,28834937,21563800,21563801,28834939,29839106,28287009,28287010,29845982,29845981,29849964,29842430,22475314,22475315,22475304,255126730,11344770,16305136,255155810,29861072,28286744,255156006,10443582,10443581,15142338,21080685,16305689,11345095,11345093,16305683,22476032,21561201,17296010,254783510,16304962,16304961,22475067,22476246,16305848,11345189,7539136,7539135,11345183,16305839,22019888,16122773,11199722,11199721,11352954,7543324,254233580,2876125,4771232,7543333,11352966,11346976,11346975,15926671,11049851,11049850,15926677,19199858,13712389,13712390,254577312,13712231,19199621,19360274,15950877,15950876,17023032,12034350,12034274,8090296,8090297,8090324,8090323,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653109,4421993,7029499,10646478,15403252,21386939,16878844,11808727,7887603,7887604,11808730,16600749,11577961,11577959,16600742,22820406,30212350,23566672,23566673,23605118,17292044,12170851,8202867,5273951,3228243,1892970,1892971,3228244,5235027,3195308,3195307,5235024,8165215,12135207,17255055,21029905,15104946,15104947,11986598,11986597,15911663,267915534,15155620,268377047,256041604,268118682,23994299,23994298,31491755,37235183,28705368,28705367,24182125,17813703,17813704,24077503,17720605,17720607,24059489,17704668,12523117,8484967,5485638,5485637,8484964,12523115,254444958,17819142,254147182,5560581,5560582,8563802,8570565,12624501,9190119,6015850,6015851,8559781,8559779,9968913,9968908,11743829,11743826,11475675,7632776,4828928,4828925,7632734,7632733,7511935,7511936,11313495,16270447,13358299,13358300,13202984,13202987,18578635,22664545,16469692,16469690,19701689,14126365,14126366,18863744,18863743,25463880,29665157,22313166,22290389,16146147,11217138,7442748,7442749,11217140,16146152,22290395,20151677,14455941,9945363,8570093,5565880,3449619,3449618,5565876,8570086,8577407,8577408,12632762,17839477,14979472,12632651,12632652,14979466,12556725,12556727,17746353,24104853,22665110,16470202,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496285,17838831,17703777,14456183,9945506,6536541,4095412,4095411,6223126,6536665,6536664,9945713,6536723,6536724,9945801,14456640,20150251,14454778,9944632,6536025,4095140,4095137,6536014,9944601,14454721,11818391,11818389,11743988,11743990,16796152,23041086,16996659,11911023,11911022,16701354,16701353,22936380,255192614,16470626,22665591,255665220,17712110,12529330,254650484,24067966,31573587,31675940,36724912,36724911,31573589,24067968,24067967,26015383,24166500,22315994,22315993,17647910,12475505,12475506,17647912,23679824,17359512,17359510,14126900,14126898,9845598,9845602,11475230,16469635,22316783,20310360,20310358,23694079,23694076,26893510,20012313,15553563,14127771,9719515,9719513,14127762,16170788,11238569,7459279,7459281,11238579,16170813,17707443,16171615,16170770,16170772,19165262,25814264,33613541,27039134,27039135,31573760,29767110,22404392,22404391,29767108,38338018,30219064,23679890,18832797,18832796,18825504,13412772,9170738,9170739,13412774,18825508,25416889,33157819,268224834,38229345,31184269,31184267,39866745,49888997,61369657,60715628,60715629,61369656,61369655,74149913,70806379,58089509,46717760,36835080,33872854,26050125,19370100,13855365,13855364,19370098,26050121,26050115,255561300,42918877,40335885,31647370,31647371,40335887,50363098,49313775,39386127,30784082,23359097,17090456,17090455,23359094,21285380,255823113,256851275,49982000,49981999,46998715,44350756,34973435,26894577,26894576,34973623,40566786,34133282,26266816,19546385,13996500,9615440,6315821,3958581,3958582,6315823,4504123,254507725,10822542,267780404,17791669,17352456,12224044,267780406,3272386,3272385,267843337,1924210,3271738,5323323,8251965,12222300,17350068,23668411,31156269,39839037,31156268,31156267,37503574,47410997,47410999,48221824,50001865,47255325,47255326,39844634,31161929,23673442,17353995,12225231,8254040,8254041,12225234,17354001,23673453,31161947,24299382,24299383,31570646,40258056,49867217,59172723,50279011,40257992,40257993,37768584,29207005,21893586,21893585,29207003,37768582,47689904,59088663,268503448,37503542,37503543,39844628,31161926,23673442,17353995,12225231,8254040,8254041,12225234,17354001,23673454,23673460,17354004,17354008,17485445,17485444,23821640,24064975,24064976,31570604,40258004,49997476,39980809,31305704,23818542,17483497,12327380,12327379,17483495,15395608,15395609,21377327,18155825,18155824,24603958,32191942,40971668,36972969,36972970,30583848,23165929,16903207,11829124,255135499,23165928,27032519,27032549,27032548,35119445,44496838,39848842,31166944,31166943,39848839,39849262,33023943,29437099,29437100,37999872,40918855,32141763,24559644,24559645,31167153,24559606,24559605,32141701,32525291,32525292,41374567,51599715,57955138,46578506,36692134,28202107,28202108,36692136,36693907,28203749,28203748,36692172,28202143,21010534,21010533,28020411,20853780,20853779,28020409,28890206,33750201,33750202,39202748,39202749,40181734,40258592,42656099,33627223,33627225,25974965,25974967,33785582,42818284,37431931,37431932,47339794,48049270,38135730,31383305,31383306,31383307,25825335,25825336,33627218,42656095,48049264,42818270,42818269,49988383,39972553,31298403,31298404,39972560,49988387,47352983,47352984,49463813,39530291,30919881,30919882,29569798,22223168,16090247,16090246,22223165,16090288,16090289,16933635,11851573,11851571,16933626,16090895,11175702,11175703,16090897,22223999,268046050,41628250,32721951,29570075,29570074,254467974,22223870,16090904,11175706,11175705,16090902,22224010,25034857,32721695,41628019,41881293,32947330,32947329,255457286,32721952,32721953,41628254,41628241,256736288,25034998,18501583,18501584,25035001,32721664,25034984,18501889,254904445,254904447,18501892,25034967,32721673,25034835,256099817,25034823,18501435,13144602,13144601,18501434,18501431,13144599,8958800,8958799,5847690,5847689,8958805,5847657,3649254,2181563,2181562,3649253,5847655,8958884,255240035,18501751,13144957,8959063,8959064,13144958,18501467,13144620,13144622,13144791,8958936,5847692,5847693,8958852,8958851,268137091,18501525,25034869,25034870,25035335,27968910,20805924,14911196,10253007,10253006,14911194,20805919,27968901,32721774,25035580,23845559,23845558,268680253,32146208,32146207 Dl.O(d2) = 36700638,40887736,51025062,49429550,39498332,30891037,23458225,23458226,30891039,29567203,29567204,29567207,29567208,26432301,26432302,34310235,26432279,256190807,26432433,27120908,268830665,44593999,35213299,27120923,27120922,26432289,19694232,19694233,26432292,20217592,14507759,14507757,20217590,27120918,35213288,34310533,34310534,38220332,29654345,22302686,22302685,29654343,38220329,48130349,50546772,50546770,59517776,59018084,48046618,38133194,38133195,30895715,30895714,39503173,34310532,26432636,19694584,14121169,14120885,14120886,19694238,26432305,26432441,255736652,34975391,32774408,32774409,32721942,32721943,256736288,25034998,18501583,18501584,25035000,18501750,18501433,18501434,18501431,13144599,8958800,8958799,5847690,5847689,8958805,5847657,3649254,2181563,2181562,3649253,5847655,8958884,255240035,13144873,8959000,5847731,3649296,254436025,8958996,267887795,2762752,1601567,910657,513741,513742,910659,1601572,2762762,1633683,1633687,2815990,4674179,4673969,4673967,7398563,11154412,16063924,11154203,11154201,11154778,7631057,7631056,4828024,4674060,4674059,4335635,4335633,6903631,10470720,15180167,11154539,11154538,10470860,10470857,11154804,11154805,15180148,15180149,21128561,28340687,21128790,21128789,22193426,29535106,29535105,28341014,28341013,29525011,22182592,16055996,11148337,7394270,4671324,4671325,7394273,268083461,22182612,29525041,29525035,22182608,16056003,16056004,22182611,29525038,29179007,29179006,37739900,47661773,59061960,71802584,61366727,49886011,255594966,23691874,17369346,12237171,8263006,5331067,5331066,8263005,11644360,11644362,12524084,17705730,17363343,17363348,17423896,12280912,12280914,17423901,16087226,16087224,12566768,12559781,8515368,8515369,12559785,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5570264,5570265,8574386,12628917,17716603,17716605,16885944,12588620,12588617,12583905,12583904,17780839,24147447,18932464,18932465,25545341,31701915,31589610,254276102,24139429,24139430,28348320,21135275,267899706,254864836,12551584,8510249,5510429,3398591,3398592,5510431,8510253,12551596,17739402,16579537,12561238,8516627,8516629,8549712,12598657,16894769,17449470,12300525,8511207,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,8262957,12237075,17369162,13496647,9233736,9233737,13496651,18931932,25544819,31642018,24135329,24135330,254276620,23681917,31170000,31200181,23712383,17388778,12253626,12253628,17388783,23712390,31200186,31706511,39863848,31181443,24181467,17813123,12611316,12611315,17422825,17422827,17423923,12280935,12280936,267828148,254191672,21033670,21033671,22183287,29525678,24077516,17720623,12536886,12536884,8498540,8498544,12536914,16579538,12561238,8516627,8516629,8549712,12598657,16894769,17449470,12300525,8511207,5510904,5510901,8511196,9410690,8275409,5339587,5339589,8275420,8540572,5598678,3475212,3475211,5598689,8613347,12681656,16580526,12590268,8541788,8541787,12575765,8529165,8529163,12575758,12588314,12588312,17785823,23748110,23748109,17804411,12603922,12603923,17804415,24067307,24067306,31573053,31689256,31200021,31200022,38090059,254415362,23712167,17388579,17388581,18863048,24117968,23145960,23145961,30563014,31199479,24075510,17718995,17388281,17388282,23711862,21559566,15538643,10746506,7100061,4470366,2685891,2685895,4470372,7100078,7100088,7100090,10746552,15538717,13202978,13202979,267802430,12557288,12557289,17747144,17826830,17826831,21559391,28830241,31591816,31664398,24168585,17801021,17801020,24168583,29523665,38087704,254868834,24127566,17764629,17764628,17764630,19875346,14240226,9789204,6435678,4037130,4032489,4032492,6427493,9775443,14219171,10902595,7210576,7210574,10902588,15742187,17065491,23332143,18183834,255617515,32237694,41030202,37209956,32804728,32804729,41724854,257762543,76971294,85858606,72266913,59532787,59532786,48167374,38258110,29692710,29692711,38235388,38235389,48145415,269340461,48145412,59532782,63409486,63409485,63409488,51665977,41423725,32563677,24911833,18406476,13074059,13074058,9175705,6005606,3755876,3755878,2249503,2249500,3545206,3545201,5697764,8751372,11580689,9714034,9714037,14119390,14229899,17428853,12284369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025130, s2 = 15401124, dlinesl.size( ) = 2 s1 = 11025130, s2 = 15401124, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11025130, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 14065655, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9803231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346101, s2 = 14093498, int(edited[s2]) = 0 s1 = 10346101, s2 = 14093498, d1 = 19, d2 = 15 Dl.O(d1) = 94382393,270136826,115699483,101655619,259159222,258116480,257050660,38048471,29484991,22146689,22146688,28169046,20988683,20988684,256287623,30007627,38578784,257547863,72088280,258740053,258142742,254124960,7556659,4778349,2879682,1671157,950799,536192,300673,166543,166542,300671,254125153,1671132,2879637,4778255,7556480,11374320,15926110,11049215,11049216,7324483,7324484,7327207,4628165,4628164,7327245,11051755,15928521,17068155,11978813,10752319,10752318,10752628,7103914,4472582,2687102,2687101,4472578,4472113,4472114,2881193,1671872,1671870,2881188,4781212,7555456,11372813,11381346,7561552,7561553,11381349,11367252,11367250,7556503,4778270,2879642,2879641,4778264,7556490,11374329,11379129,11379128,15151724,15151725,12010301,8067842,5161855,5161853,7556747,4778405,2879707,2879706,4778401,7556742,11374688,16346991,16337658,11367280,7563127,7563128,11367593,11383796,16344720,15545692,11381023,11381024,16354464,16355457,16340824,11369713,7553454,7553456,11316274,7525572,7525574,7211947,7211951,7301004,7301000,11026758,11375156,11375158,16347531,14485769,9966921,7554002,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765154,4596467,7288980,11010756,15151664,15151660,16328556,11360034,11360036,16328537,22502780,29864575,38427538,255548198,39824198,31141479,23653965,17336873,17336871,16342226,11370836,7554175,4777007,4777008,7554178,11370843,16342238,21979189,21979190,29306803,37875843,47799862,37906956,37906955,40031341,31350889,23856974,23608081,17295608,17295607,15546770,10752455,7103805,4472525,2687075,2687076,4472528,7103814,7288959,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287402,11287299,7494157,4737342,4737339,4774123,4774120,7548885,8198525,8198523,12166985,17288019,23600597,31084583,36783607,254584302,21080967,22475886,16305559,11345034,7539068,7539067,11345032,16305555,11348400,11348399,16310816,22482275,29843966,29843919,29843920,27232413,22083072,15977244,11091437,11091438,11344574,7538829,4768994,4768992,7538822,11344562,16304815,22474392,16304436,16304437,22474395,21080711,21080712,16304294,16304295,22474205,29841467,33025540,25299377,25299378,29846521,38416117,48325548,48326856,48323456,267912460,29839361,38412108,38414545,254820954,22482287,16310827,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,16315614,11351397,11351400,16313164,16313161,22019877,15918445,15918442,15918109,11040239,7314629,7314630,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,10587430,6984213,6984212,10587425,15329065,21296055,21297301,15329972,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459207,16308708,16308713,16308752,16308778,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,15924438,22025508,29356069,37922583,29876369,22972984,22972985,23363440,17094415,17094414,17238419,17238420,15922647,15922645,12139845,267971410,12191710,12191687,8222096,5292312,5292311,8222091,12191681,11381901,7561932,7561933,11381904,16355386,11381874,7561921,7561919,11381868,8205317,5276569,3230679,1894649,1894651,3230687,5276580,4605467,2771668,2771666,4605459,7301026,11026793,15905348,22006279,16341823,16341824,22515295,29873234,26666326,254395628,9777067,9777068,14221736,17514550,17514546,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,9108488,7547922,4773608,4773610,7547943,8165100,8166725,6524937,6524938,9928220,14430768,9926528,9926527,14430762,20122373,23569427,17258118,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,21560572,22488924,16316061,11351647,11351646,16235213,22395115,23600712,17288151,17288150,23600710,23605265,255161816,39729562,31050910,23566805,17255462,17255463,23566810,23609800,31093262,39771505,39729353,31050569,255547382,40891536,32117650,31118909,31118908,39799520,49820319,39829236,39829237 Dl.O(d2) = 17325177,15328928,10587354,6984180,6984181,7552062,4775862,2878453,2878455,4775869,7552075,11367354,11382231,7562109,4781672,4781673,4781888,4781469,2881328,1671949,951181,951183,951241,1672070,2881554,4774377,7549444,11363145,11361103,11361104,16329884,11368168,7552551,7547494,4773376,4773378,7547498,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248914,12173509,8205623,8205621,12173498,12201422,11363328,11363326,16332610,22504953,16330976,11361952,11361922,11361923,11365951,11365125,11359121,11359120,16327313,22501573,16334741,16334742,11365369,11365367,16335048,16353750,16335098,12136534,11370782,11370783,16342165,22515613,17292966,17292967,23605944,19364761,13851345,13851347,15330659,15330658,21298220,21615012,21615011,23030252,16787634,16787636,23030255,30436925,29869878,22510436,22510437,17820873,12617507,12617508,17820879,22113197,16000961,16000962,254418412,11026407,7300506,6232376,3902014,3902020,6232394,6232701,6232698,9502509,255293437,256169319,258288583,88337170,260648192,258183950,19102068,13638245,9339057,6117205,3827367,3463855,3463856,5582902,8592277,256045121,8402247,12432133,17613122,23962101,31456472,40138191,50161276,48031231,48031234,59423732,52672978,50161308,40138216,31456488,31456489,34995761,26914374,26914372,34995756,38222959,256940463,59520087,258706050,113812247,113812266,113812264,127680103,126120911,119030575,113479187,258699968,85521871,99468442,113479189,101928192,87955366,74353072,257655653,256525869,31394369,40075695,50096500,61576320,74353081,87955373,77238422,77238421,74357001,74357000,73507873,60758704,49355514,49355513,60758702,73507871,87126714,100955715,258206632,73359855,86971401,81559576,73359877,64800171,52880860,52880861,64800173,77994428,91153965,91153964,259010085,64094159,52247025,41910050,32970633,25248357,256110265,257179419,64094171,64094138,52247003,52247002,52880836,52880835,64094132,64800180,64094145,52247012,52247013,64094147,59234119,59234118,71971747,85558926,99505366,113516486,127386185,140741934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346101, s2 = 14093498, dlinesl.size( ) = 2 s1 = 10346101, s2 = 14093498, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10346101, Dl.E( ) = 20, 1.22e-05 seconds used appending s1 = 8109929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7808472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7808472, s2 = 13244357, int(edited[s2]) = 0 s1 = 7808472, s2 = 13244357, d1 = 1, d2 = 14 Dl.O(d1) = 11637138,7752814,4910110,2959636,2959635,4471405,4471406,2880834,2686081,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778700,7100515,10747312,11374106,7556315,4778170,4778171,4778721,4472021,2686788,2686789,4472026,7102952,7289161,11010998,15884236,16348284,14935324,10271635,10271636,9928621,6525201,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555429,11372768,10751313,254079934,4777530,2879275,1670958,1670959,2879277,4777539,7555154,11372285,16344048,21560518,16338782,11368126,11368125,16338779,12215434,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288962,11010721,15883876,21978968,22512582,17278186,254393734,31073174,29853184,22487725,22487726,23658048,17341107,17341108,23658051,20122997,20122996,17294994,12173732,12173731,254134102,22487254,16314651,16314652,16314921,11350967,7542238,4770661,4770660,7542236,11350933,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280951,267907051,12178448,17300469,21079889 Dl.O(d2) = 22504243,254347016,11361329,16330187,16357884,11383745,7563068,4782235,2881760,2881759,4782232,4088016,2445698,2445699,4088022,6524456,9926874,9926873,9929520,8242587,5314417,5314418,8242593,8165289,8165287,12135325,16340249,11369270,7553195,7553194,11369267,12138711,16340269,11380213,11380212,254396700,20122699,254266466,23631616,23631619,267898146,21100442,21100445,28310476,22495510,22495511,29858267,36811818,38994679,32021494,24459989,18041119,18041118,23566223,23566224,29875171,22518022,22518021,29875170,33866552,26044484,19365423,13851830,9502433,6232657,3902155,2337006,1354509,772565,772567,1354517,2337025,3902045,6232446,255701111,33865622,30899957,23466198,17186429,17186432,254542880,10294345,11510072,12093555,12093559,10281239,6757254,4234378,4234379,6757257,5925199,3705000,3704999,5925193,9061869,13277256,9071506,8595522,8595523,6824955,4281621,2559915,2559917,2538121,2538122,4245120,6772816,7083790,4459889,3464868,2054728,2054731,3464876,4283523,2561009,2561011,3464904,3464902,5584765,6824866,6824869,10361290,8109050,8109053,12060449,10382626,8316160,5366111,3298891,3298890,5366109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7808472, s2 = 13244357, dlinesl.size( ) = 2 s1 = 7808472, s2 = 13244357, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7808472, Dl.E( ) = 16, 9.78e-06 seconds used appending s1 = 9681396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7592595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 811997, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9802661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 855244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14021880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14021880, s2 = 731936, int(edited[s2]) = 0 s1 = 14021880, s2 = 731936, d1 = 18, d2 = 17 Dl.O(d1) = 257539131,38480782,29920798,29920797,38480780,257290240,35361928,44786035,38842654,35361920,35361921,257331301,68091350,72500919,256890982,54597673,66856182,68091420,72500827,269613194,29920294,29920295,256720904,255730484,27238955,27238957,34593225,26606162,26606161,26606168,34593239,43863837,54606785,59766345,48383323,48383037,48383039,55693533,66934456,54677887,43935155,34661418,34661417,43935152,48383304,38480646,38480647,48383307,58691385,48382427,38479780,29920057,29920056,38479774,38480356,255918985,16382124,16382123,22561363,29920484,38480344,38480440,48382855,59766061,55693523,44786168,35362043,256764485,55693525,58691462,71424323,71557133,71424314,71424316,72500849,59766039,59766040,60432874,58691632,58691570,47301067,37391867,28851662,21579609,21579610,28851665,37391875,47301071,38915832,38915833,30552275,30552276,39150360,39100156,39100157,48382967,48382966,38480544,38480543,47300926,37391771,28851602,21579583,21579582,28851597,37391761,31259948,23774905,23774904,21579603,15556150,15556149,21579598,28851638,37391820,44730775,38908391,38908390,38908484,38908485,257574699,72964620,60226143,48830193,38908585,38908588,48830190,60226136,49080510,49080509,48831012,38909554,38909552,48831007,49029284,49029282,60226628,48830968,38909511,38909510,39100242,39100243,38911105,38911106,48829902,48829914,38908314,30322622,22921831,22921829,30322616,38909639,40025700,40025701,44730767,38908574,30321782,22921263,16687435,16687434,16687503,22921387,30321942,38908749,48830368,40025624,38908352,30321609,22921145,22921146,30321611,38908358,48829956,49080531,60484057,60479846,60479845,256994370,47634711,37712454,29152212,21843878,21843879,29152220,31345802,23852318,23852315,31345795,38247295,29682424,29682422,37412815,38691666,30115734,30115735,22734779,22734781,30115777,38691747,46834489,36956163,36956162,46834485,47634930,59037135,59037046,59037047,71779403,71779400,59037044,59037045,71779401,256994380,47732112,37809949,37809953,47732119,59130775,59037127,47634915,47634916,37713089,29152637,21844121,15774063,10926081,10926080,15774059,21844115,29152628,37713077,47635461,59037307,47635182,257481147,44803143,35378521,27253781,20320723,14583187,14583185,20320720,27253775,256450468,46859625,44803125,44803124,55710218,68107258,68107284,55710260,44803168,35378538,27253793,20320733,14583191,14583190,20320730,27253788,35378533,41313123,38905978,38905976,40026641,31690388,29920288,29920287,38480106,30034405,30034408,38608637,48524120,52321462,52321463,48828408,48828410,59130803,68107259,55710219,48828438,38906695,31346526,255122658,12347614,8342338,8342337,12347612,17510410,23853081,22920625,16686879,16686872,16686874,22920611,22920580,16688504,16688506,17509627,17510220,23852847,31346214,38907062,30320379,22920024,22919990,22919991,22920047,30320405,22922628,22922630,23375196,17510981,12348062,12348063,12347795,12347796,16687319,16687322,22921086,17510816,12347908,8342545,8342543,12347860,8342508,8342509,11648910,16687254,22921026,22920552,22920553,30321010,30320413,22920072,267983230,255505958,254802704,254246004,12347896,11648602,11648603,254079176,11472215,16465325,16465684,254126800,4827858,2909313,2909315,4827861,7630896,11472506,11648647,11648649,12348083,12348081,16686976,11648679,11648678,16465775,11472566,7630931,7630930,11472559,7761581,4916075,4915132,4915131,7760407,11647945,11650428,7762427,4916809,4916811,7762434,11650440,16689197,16688612,16688613,22659226,30034226,30320360,22920003,16687128,11648766,7761031,4915648,4915645,7761022,7630813,4827809,2909294,1687782,959878,959880,1687799,2909322,4827878,7630924,11472543,11472346,11472345,16465482,15634782,15634764,10819489,10819490,15634769,21671829,22659612,16480936,16480937,22677951,22920737,30321199,30324091,38906727,38608439,30034178,22659178,16465330,16465329,16689181,22918464,16684831,11646769,11646770,16684835,16687165,16687166,22920930,30321217,30772102,23348807,17081536,17081537,18303266,16688730,11650050,11650048,16688726,22922911,25150347,18593548,13213091,13213090,254802646,8045504,5135739,5135740,8045508,11993756,17081541,22927990,16693688 Dl.O(d2) = 18697779,25269653,28059351,28059352,36524878,46384587,57734501,57734502,57734499,257685402,77388504,64237700,64237699,70428754,57734417,50503860,40467996,40467995,254876496,36632985,34229539,26354905,19624835,14064254,14064257,19624844,23153928,16892697,16892696,17622550,23971393,31467037,38998445,30409407,30409406,38998436,46828330,37045027,36525129,28059504,21321942,15350818,10604545,10604544,15350813,17467336,12314759,8318259,5367694,5367693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14021880, s2 = 731936, dlinesl.size( ) = 2 s1 = 14021880, s2 = 731936, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14021880, Dl.E( ) = 20, 1.22e-05 seconds used appending s1 = 7952788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6487989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6487989, s2 = 13300510, int(edited[s2]) = 0 s1 = 6487989, s2 = 13300510, d1 = 14, d2 = 94 Dl.O(d1) = 255115627 Dl.O(d2) = 257198926,98687653,112682370,113006615,99018138,85092851,71520608,71520609,85092853,98687681,90476903,90476902,88441911,88441912,98256820,104640696,104640695,99018131,85092845,71520601,58791041,58791040,71520598,83985170,97847103,111772485,259658414,258682278,71216372,58494458,58494457,71216370,81162979,81162980,95219607,109473637,100029475,86065950,72467246,72467245,86065948,84785084,84785083,84785078,71216135,71216136,84785081,74809448,269782304,50521037,62012918,71216138,84785087,81162931,67697074,55357112,55357113,67697078,81162938,84785396,257447284,50521045,40485468,31790388,24276735,24276734,31790384,40485463,46292287,46292281,36439149,36439148,46292278,256327022,44510459,44510458,55357125,50521054,50521057,46292368,36439225,36439224,46292365,57636805,258618921,97711791,84785090,71216143,58494262,47115895,37218541,37218542,269314607,71216147,84785093,83852630,258057982,46292310,36439179,36439180,46292312,256867816,50521036,256867840,27980026,27980027,36439154,46292284,44510461,35133570,27047900,27047899,255404402,36439239,27980087,20816140,20816139,27980085,36439234,46292376,44510502,35133609,35133603,35133602,38445134,29888862,29888861,27047904,22534679,22534678,29888955,22534710,22534709,29889001,30216020,30216019,35133539,35133538,30216627,22824258,16603622,16603625,22824265,268311150,38272524,29888859,22534601,22534600,16360990,11385823,7564333,4782948,4782949,7564336,11385829,16361007,22534650,20221763,16603337,16603339,22823822,30043533,36439184,27980047,20816115,14919518,10259143,6741559,4224398,4224400,6741566,10259153,14919536,20816157,22534673,16361020,16361018,22534668,16361045,16361044,22534720,29889014,35133544,27047880,20155251,20155250,14482942,14482941,20186163,15560206,15560205,21584755,22350963,22350966,16360978,11385816,7564329,7564331,4782953,2882140,2882143,4782958,7564351,7564342,7564343,11385842,12049470,8100822,5189972,254573865,12049491,17145177,23422219,30852945,39457145,36615715,255857278,20963632,28141900,36615716,46482135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6487989, s2 = 13300510, dlinesl.size( ) = 2 s1 = 6487989, s2 = 13300510, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6487989, Dl.E( ) = 96, 3.89e-05 seconds used appending s1 = 6469418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6469418, s2 = 10183963, int(edited[s2]) = 0 s1 = 6469418, s2 = 10183963, d1 = 10, d2 = 22 Dl.O(d1) = 254878570 Dl.O(d2) = 49218097,257477366,72188441,71411075,256355956,48059271,59450532,268717808,256596016,256596014,49859251,58793602,47406396,37498832,37498833,29580050,29580051,38146317,257514459,58793604,47406399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6469418, s2 = 10183963, dlinesl.size( ) = 2 s1 = 6469418, s2 = 10183963, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6469418, Dl.E( ) = 32, 9.06e-06 seconds used appending s1 = 7955241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13219269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 136435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1034854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11015740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111737, s2 = 10793566, int(edited[s2]) = 0 s1 = 14111737, s2 = 10793566, d1 = 97, d2 = 78 Dl.O(d1) = 257544900,176524909,167236777,260020578,129725743,115826517,101780232,87807819,74204547,257827508,257559574,49947953,49947115,39930583,39930584,49947916,61424925,49947111,47283231,268636758,20194788,20194790,27093884,31256779,31256780,39931716,256144521,19052785,13601253,13601254,19052791,25674260,23755953,23755951,23757164,255169267,12285274,17430134,17429956,17429955,23756908,31240871,39916331,46961026,51613921,41387863,41387864,51613923,55327293,67667198,81133858,259788997,123640727,137372617,139703281,126328491,112462282,259911913,84550476,70987527,58273052,258041667,37030643,28532556,21309886,15339954,15339955,21309887,268423993,16943940,16943943,23216154,30639400 Dl.O(d2) = 3804606,2278993,1321669,1321667,2278984,3804578,6080303,9282078,13557745,18997918,25610798,25772420,25772419,256668673,42578497,41584036,32686350,25006721,25006720,32686348,41584019,32686335,32686333,32686334,41584016,268602936,33306054,25544060,18931052,13495879,9233133,9233134,13495883,16936484,16936486,23207449,23207450,30630118,23207226,23207224,23207715,16936653,11853587,7922369,5036658,3049517,1776572,1012883,1012884,1776575,3049526,5036671,7922389,11853622,16936337,16936336,23207254,29986085,22618767,22618765,23207196,23207340,16936392,11853416,11853415,16936382,23207211,16936304,11853364,11853362,16936301,23207206,29294809,21968013,15874224,15874225,21968021,18565039,13192589,11853551,11853549,16936515,11853504,7922326,7922324,11853498,16936507,23207494,30630435,23207650,16936611,11853564,7922356,5036652,5036651,7922350,11853559,11853600,11853601,11853613,16936686,23207757,30630234,23207312,23207311,30630231,38555597,30630298,23207363,16936406,11853425,7922282,5036617,3049489,3049488,5036611,7922265,11853394,11949568,7998977,7998975,11949562,17035150,23294821,30711342,31434273,23943248,23943249,23938869,17595025,16153715,11222755,7446421,7446425,8396126,8396127,12422832,17600034,23286557,17027548,17027547,23286551,30702251,39299790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111737, s2 = 10793566, dlinesl.size( ) = 22 s1 = 15746032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15746032, s2 = 13588445, int(edited[s2]) = 0 s1 = 15746032, s2 = 13588445, d1 = 11, d2 = 6 Dl.O(d1) = 157490550,258212378,131795245,145054855,157490548,168956099,179245726,188300228,196186179,202933600,262779936,213236429,263599646,263949710,225180481,227183171,227315699,225336609,223058334,220416715,217306931,213573177,209014347,203461258,196829845,189079315,180129086,169954067,262446621,146214353,261409065,119146043,104949872,90769911,76890639,63780328,51964615,41656708,32746179,25055079,25055080,31353333,31353332,256899099,29108565,21809776,15747955,15747956,21809778,29108568,37658390,38247336,29682457,255465473,11250102,254530453,2843240,2843239,4719407,7467983,10482359,15197695,21152559,255088085,11250066,10482978,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499832,17516448,17516280,17516277,21810018,21810015,23859685,23859683,25960795,21154327,21154326,17516346,17516345,21149814,25256005,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196121,11163191,11163190,16075958,22206134,28367349,21150828,21150829,21151517,28368194,36865934,46746333,37658528,32966477,32966476,41905808,39763253,36866859,36866858,29339478,29339479,36867750,36865243,28367296,28367297,22141192,22141193,21152178,21152177,23802461,17469456,17469455,23802459,31288713,38247246,29682357,22330848,22330847,28367202,21151396,15196947,15196944,15196908,10481926,10481928,15196914,21149494,255811633,36863934,28365651,21149456,255811625,17356704,17356705,21151217,28367848,256522459,28367495,255382925,15196660,21150950,16950228,11862980,7928144,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,11860262,7926614,7926612,11860258,16946067,23218648,23801954,27069320,27069321,35155130,36866829,39241317,30644618,23222062,16949032,11862180,7927694,7927696,11862184,16949039,17468393,12315545,12315546,17468395,23801242,23221012,16948056,16945848,11860128,11860129,15934399,11861499,11861500,16947991,16945531,11859919,7926429,7926430,7926857,7926856,11860710,11860709,12315785,12315455,8318712,8318713,12315461,8319091,5368171,5368170,8319084,7926492,7926487,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340384,5039367,5039371,7927175,7927174,10482593,15198168,21153240,16950066,11862858,7928076,5039760,5039763,5038935,5038938,7926416,11859897,16945487,16946790,15254772,15254774,15493858,10714585,10714582,15493850,11863196,8255320,5325583,3273353,3273354,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,571184,571185,1013311,1777363,3050982,5039483,7927561,11861943,16948658,22048030,16950148,16950145,20935502,15254789,15254788,11815302,7893357,7893354,6940735,4361921,2613897,2613895,4361913,6940752,6940750,10524072,15254547,15254734,10524200,6940808,6940805,8737266,268010511,6118263,6118264,9340613,13640354,16948780,255532120,11861876,11861875,16948572,23221573,29641084,22289507,22289506,16949519,16949520,23222636,30645070,39241581,49167417,49167418,60566696,270358384,100900472,114953081,128853534,142211285,154847034,165589799,153807661,141133753,127776375,113901248,270843185,59598573,48211297,38301363,29733726,22376227,22376228,29733727,32714367,25028587,18496588,13140924,13140920,8956152,268019205,255638725,32714358,29733699,22376209,16220360,11275803,7485046,7485049,11275810,16220371,22376228,256404513,41619654,51921848,63730607,76833762,76833769,271015553,85927676,72333823,72333824,76833764,76833765,90703677,259624357,85927687,90703680,104873161,99882874,99882875,99882886,85927692,72333837,72333836,72333832,72333833,85927679,85927678,99882882,113901245,99882893,260598488,63730613,51921845,51921846,258136249,63730616,51921849,51921850,63730617,51921853,41619657,32714369,25028588,18496588,18496587,25028586,32714366,41619654,51921847,59598556,48211286,48211285,258136251,76833771,90703680,104873161,99882874,85927675,258370297,63730612,63730603,63730602,59598569,48211295,48211294,258136253,85927689,99882892,259380336,59598572,59598571,51921843,41619652,41619654,51921848,63730607,76833762,258997359,99882892,99882894,104873161,99882874,85927675,258370297,63730612,63730603,63730602,59598569,59598570,59598557,48211286,38301358,29733723,29733725,38301359,48211288,59598561,72333824,76833764,76833765 Dl.O(d2) = 85927678,99882882,113901245,99882893,85927691,72333834,59598569,59598570,72333820,85927673,99882870,99882885,99882884,90703678,271015553,99882877,99882895,85927692,72333837,59598576,59598575,51921839,41619650,41619651,51921842,63730609,76833765,90703677,259624357,85927687,90703680,104873161,99882874,85927675,258370297,63730612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15746032, s2 = 13588445, dlinesl.size( ) = 2 s1 = 15746032, s2 = 13588445, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15746032, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 14083199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9796883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9796883, s2 = 7935898, int(edited[s2]) = 0 s1 = 9796883, s2 = 7935898, d1 = 46, d2 = 67 Dl.O(d1) = 5087850,7953864,5058878,3064932,1786610,1018769,1018770,1786612,3064933,5058880,5063433,7957592,11899233,7960565,7960566,11902246,7966803,7966802,254357374,3063071,1785531,1785530,3063068,5056012,5176614,5176613,7945276,7945274,11884419,16972012,11896607,11896606,16970398,17022139,16977047,11890090,7949871,7949872,6001178,6001179,9168976,9168974,13410536,13410552,254571260,11948326,17033519,22410631,254822704,11905296,7962916,7962914,7958648,7958647,11900333,11933303,11933302,17017301,12361682,12361683,17527925,17010362,17010364,16967133,16967134,22208406,16077719,16077720,16976525,16976526,16964692,11876587,11876586,16964686,17014374,11936793,11936795,12363286,17529341,21069774,21069776,16974164,11886800,7947059,5053853,3061688,3061689,5053859,7947070,7959902,5063220,5049467,5049465,5053996,5053997,7947257,8071291,12013390,17039433,11953224,254235944,3091803,3091804,5094069,8001758,11953232,15976121,17032936,11947507,11947506,17032934,21880754,15805115,11923903,7977894,5077166,5077167,5074070,5074071,7973785,11919152,7991155,5086304,254565015,11939995,17024970,17009916,267795886,7985819,254177958,1798840,1798843,1794534,1794537,3075839,5053777,5072745,5072747,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153571,3850279,3850281,6153613,9393081,254525910,18822195,18822194,17010797,16627992,16627991,22853198,23267600,23267599 Dl.O(d2) = 2042767,2042766,3449080,267915647,255199195,10529172,6944096,6944094,10529158,6970540,6970541,10552303,8115406,5199156,5199158,8115415,11022791,7297854,4603044,2769912,1606185,1606186,2769919,4603060,7297879,11022827,9259570,9259568,13528944,10554405,10530930,10530929,6945141,4364488,4337583,2596792,1498010,848893,848894,1498014,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108048,12056558,12056557,17153095,23429923,17412969,254853052,9341637,9341635,11254491,11254492,12059176,8108150,5194759,5194758,8108146,12059169,16649681,13537374,13537375,15287943,10553321,6960348,6960347,6964034,6053453,3788054,3074617,1793643,1023190,1023186,1793605,1315662,750855,426700,240958,254093899,750856,1315664,2268028,3785601,6049546,8914743,7170737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9796883, s2 = 7935898, dlinesl.size( ) = 2 s1 = 9796883, s2 = 7935898, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9796883, Dl.E( ) = 72, 3.41e-05 seconds used appending s1 = 7869030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8149052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8102808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8102808, s2 = 12583265, int(edited[s2]) = 0 s1 = 8102808, s2 = 12583265, d1 = 33, d2 = 9 Dl.O(d1) = 254921684,15468832,10696041,7066280,4449049,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741882,10259688,14920289,20817083,27981104,27127516,25459818,25459817,33207506,39331596,37260394,28728489,28728490,30734305,30732954,23314011,17050983,11961666,8007256,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,255107023,22673902,30049438,38598995,255927247,22652985,30026181,23314222,17051816,17051818,22142350,29479826,38043060,30732525,30732523,30734817,30734816,29769212,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,11961449,17050552,23312817,23312815,255886058,11126429,7379981,7379982,11126432,16024828,22142755,29480335,29340604,22008873,22008872,29340601,37909601,47831408,47956677,39332766,30735001,30735002,39332768,48151888,39332425,39332426,257506269,38043850,38043851,39332475,30734590,30734591,38043401,29480466,22142857,16024893,16024895,22142864,23313333,17050499,17050498,22142732,29480301,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327200,29678383,30665438,33209786,27127059,20222145,16181433,16181431,22143201,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147 Dl.O(d2) = 164337625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8102808, s2 = 12583265, dlinesl.size( ) = 20 s1 = 11016766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13247099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13247099, s2 = 11074160, int(edited[s2]) = 0 s1 = 13247099, s2 = 11074160, d1 = 71, d2 = 33 Dl.O(d1) = 1777036,1013132,571082,571083,1013138,1777048,3050342,1810694,254130421,325761,179879,98912,54681,54680,98911,179878,179895,179896,325792,582781,1033403,1033404,1809330,3050509,1777121,1013186,571100,319925,176992,176993,319934,571116,1013209,1034453,1034454,1043107,1043108,1826279,1042445,1013134,571082,571083,1013138,1777048,3050342,1810694,254130421,582720,1034113,1810695,3099048,1839457,1049746,590531,590533,1049753,1839469,1829252,1829253,1847644,1847643,3156873,5175333,3156675,3156674,5175331,7524109,7527603,7526309,5110382,4994228,3017371,3017370,3098355,5104006,5111763,7526500,5167743,3149968,3149969,3135184,3135186,5128260,5128261,5148438,5148437,8057151,12003126,11990768,8042975,8042974,8072398,254822089,8021419,8058683,8021537,5126072,5111274,5111275,8022411,8163437,7522213,7522211,5122528,3112268,3112267,3116731,3116734,5128001,3131525,1830662,1044789,1044793,1830632,1830631,1866760,1064856,598503,333488,333493,333542,183549,183553,333557,598662,267769639,587032,587031,1042674,1826719,3125022,3125929,1827310,1827311,254258579,1843137,3150348,3417634,3417635,5113124,5147297,3132040,3132041,5119577,8030390,7521207,4755320,3123379,1825656,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,3131403,5146573,5228161,4756207,2866658,1663816,1663815,1867041,3190267,4756196,5228506,5233853,5103072,5103073,3128995,1829194,1044006,1044007,1824915,3122285 Dl.O(d2) = 254834292,39059106,48981786,60378556,255364404,60378520,255002862,97737594,86795431,86795432,86987548,73374930,60629259,49228128,39301141,39301140,257601429,73374920,73374921,73374922,71180876,58458819,47080731,39301143,30703607,23287741,17028557,11943514,11943513,17028555,23287740,30703605,39301139,49228122,52758649,42359189,33370237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13247099, s2 = 11074160, dlinesl.size( ) = 2 s1 = 13247099, s2 = 11074160, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13247099, Dl.E( ) = 74, 2.5e-05 seconds used appending s1 = 321554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9810901, s2 = 15314492, int(edited[s2]) = 0 s1 = 9810901, s2 = 15314492, d1 = 128, d2 = 113 Dl.O(d1) = 6957739,4371485,4371484,6957736,6959506,4372651,2619496,2619498,4372657,6949059,10537192,6960594,6960597,10553694,8110022,8110025,6062439,5198723,5198722,8112929,12061302,13523066,13523058,13523027,9254488,6947121,4365535,4365532,6947110,8619480,8112340,5197287,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760 Dl.O(d2) = 267310991,243894489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9810901, s2 = 15314492, dlinesl.size( ) = 34 s1 = 11008286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6481027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7923030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14221027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6581346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 87788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 87788, s2 = 9681397, int(edited[s2]) = 0 s1 = 87788, s2 = 9681397, d1 = 0, d2 = 3 Dl.O(d1) = 1901634,1085470,609550,609549,1085468,1901632,3200841,5242034,8172835,7530654,7530653,8222205,8219411,8219412,7491701,4735249,2853556,2853555,2854824,1656782,942679,942680,1656785,1689049,2911578,3246004,3246005,3217020,3217021,1886397,1886398,3219267,3358315,1974314,1909400,1090294,612165,612167,1090306,1903426,1903423,3243415,3194822,1874563,1069360,600973,600974,1069363,1874570,3201666,5242955,5295984,3246974,3246975,1906959,1906957,3248345,5234884,3195218,3195216,5234878,3222588,3222587,2778198,1611726,916949,916951,254233425,4613758,7309925,11035198,15913637,17235363,12116919,8230799,5302506,5302507,8230801,12165750,268107367,8247173,5318889,5318888,5462907,5462908,5220768,3184769,3184771,4735230,2853543,2853542,4735228,5221642,8150202,8151927,12120337,12141759 Dl.O(d2) = 605756,1078557,1886778,1076497,1076496,1075955,604410,336460,336457,337098,605761,1078566,1890179,3224474,2705106,254161163,891433,1567583,2705110,2689011,2689010,3046944,2704643,1567288,891216,891215,891369,891370,1567500,2689073,3800583,3047221,3047222,4583659,3046244,1774186,1011300,1011301,254251705,1099878,617339,343130,343131,254183883,3272905,1925001,1099870,617331,343127,343128,617332,1099871,1657078,1657077,2855278,2689017,1557556,254227213,1567525,1567526,2705021,4501382,7148085,267968693,15855644,10989709,10814931,7147110,4500469,2704237,2704238,4500470,5032106,3046712,3046711,5032568,4583133,4501514,4500601,3046916,1774766,267768639,570083,570082,1011411,1011779,1011777,1598101,908491,512354,298214,165161,165162,298222,531799,942889,1657097,1600159,909736,513151,513152,909740,1600000,1060774,1060773,1858760,3175165,3272897,1925011,1774332,1011848,1011849,1774504,1774508,1775280,1557674,885533,885534,1557678,1011325,570032,570035,570047,570045,570282,319424,176638,97154,53614,30209,17371,17372,30213,53627,97179,176693,319527,570483,1011364,1011362,1012183,886207,500025,500026,886209,1558731,2690620,2757448,1598554,909683,909684,1598550,908832,512612,287419,287418,512610,505765,283531,283532,505767,896567,909799,513188,287792,159142,159143,287794,513192,893477,504113,282690,282691,504115,893480,909828,254188165,1133744,909698,513137,287759,287757,513119,513120,513408,513316,287894,159230,159231,267744303,909970,909976,513326,287905,159235,159233,287901,287475,287347,158860,158859,287343,512542,353308,193666,254089897,159353,87672,48237,48238,87675,254085811,159145,287780,287779,288189,254085781,158890,159176,287571,159472,159471,287203,279893,154493,84681,84680,154492,279891,353143,193512,105659,105658,193511,254085723,87041,53999,54000,97323,155965,155964,282371,165332,91047,91046,156125,85716,85715,47486,30532,30533,53977,53794,53793,97355,105803,158723,284435,284434,254098481,157054,86256,86255,86423,157295,176419,176420,157153,254078217,47354,26396,254069833,8314,8185,4409,2305,1133,548,268,267,254068995,4386,8152,14645,25955,46591,85028,154989,280705,500512,887036,254227397,4481867,4481868,7118279,10737327,7094166,7094165,10591184,10773717,15574745,15574746,21602311,21602312,20193640,14489124,14489125,10773723,10773501,7118451,4481968,4481967,7118450,10773500,15574579,15574534,10773459,7118534,7118535,9969215,9969214,11745069,11745070,16797955,23043554,21602189,21602190,28877390,30451727,23043550,16797948,16795111,11743277,7840455,7840454,4977077,4977076,7350051,11083853,11745078,11745079,11083876,7350076,4642601,4642602,7350078,4977667,3006932,1746873,1746874,3006933,254248619,993474,559357,313174,313172,559353,993466,1746909,3006693,4977125,7840603,11743448,16795330,23040157,30447962,29627208,28763371,21503563,15495892,15495894,19455582,13923059,13923058,19455575,17305861,12182909,12182910,17305867,23620356,23339040,23339041,30761896,34978228,29960478,28221663,21026512,15102495,15102496,21026519,20103661,20103660,26994344,25556987,18943852,13507262,9241754,6052802,6052804,9241760,13507275,18943881,23031800,30438564,29812131,29812129,25039201,18505150,18505149,25039200,32726542,38384201,29811850,22444693,16275709,16275708,22444690,28568523,28568522,22444756,22444757,29811954,38384331,48294766,49438788,39507849,32726537,25039196,25039197,32726539,41633288,47390753,37491403,37491400,38384208,29811854,22444695,22444694,29811852,30556562,30556563,38384210,48294674,49438794,39507855,30900319,30900317,39507854,256462540,38383693,38384275,38384274,31482171,31482173,38383626,29811376,29811375,38383611,48294244,59681121,48294242,48294241,59681119,60831226,49429150,39497841,38383731,38383730,38384072,29811761,29811762,30761828,38383549,29811456,22444553,16275634,11317331,7514613,4750450,4750449,7514609,11317319,16275612,22444516,29811571,38383853,48294398,47400549,47400547,38384574,38384573,48294907,47669126,37747197,29812324,29812323,37452421,34669157,28913002,21638798,15607119,15607118,21638794,28912988,268925375,38086678,47998674,269806627,36788807,28292180,21085388,15145683,10445686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 87788, s2 = 9681397, dlinesl.size( ) = 2 s1 = 87788, s2 = 9681397, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 87788, Dl.E( ) = 6, 6.91e-06 seconds used appending s1 = 7966265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 485327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15075546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 341900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 53776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8150088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8150088, s2 = 8172528, int(edited[s2]) = 0 s1 = 8150088, s2 = 8172528, d1 = 5, d2 = 3 Dl.O(d1) = 41437549,32573545,32573542,30937521,23494106,17207416,17207417,23494055,23496236,23496240,30941527,39563272,49511061,50070773,50070768,61549145,64964407,61549037,56344962,56344961,66425985,66425984,78232739,78232740,256246918,80855499,67388038,55057330,44226455,34872433,26816430,19953425,19953429,19954985,14289164,9832497,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041184,2421178,2421176,4041266,6443705,9803960,14265816,19917266,19739718,19739722,26509336,33804041,33804018,33804019,33803826,25988378,25988213,25988212,25988614,33804283,42844280,53305653,65296204,78593046,92649571,98724291,98724290,111568566,111568565,258606636,94774813,80701203,67227598,255777458,44096360,256262002,268897392,63902339,63902340,67430395,80861825,73832755,61060694,55141461,53639886,43137606,43137607,53639893,44298045,44298043,55141656,55988861,49557657,39592268,39592270,49557665,60991820,73759165,87377925,259193878,112538404,98544035,84619734,71055914,58340032,46971615,37089571,37089572,46971617,44167916,44093050,34813290,34802354,34802357,34806060,26769402,19921411,19921412,254701330,8261017,8261016,12234390,17365411,23686639,31175410,39857963,49880887,61362416,58946343,49880916,39859619,31176875,23687879,23687878,31176872,39859605,49249849,256414724,39859631,258246589,87749280,98146635,84253306,78499805,78499804,256414680,62425709,50841914,50841913,62425707,75325436,89054402,103125266,89054392,89054393,103125268,104146680,90021796,76217504,76217503,90021795,90021814,81012627,259151285,88418207,74786613,61990250,61990249,74786612,77552510,64384478,52510820,42152934,33194000,25448444,18850899,18850898,18850879,13430868,13430869,18850880,25448404,33193943,42152873,52510739,52510738,48447340,38538712,33193979,28690745,21440032,21440031,28690743,37215551,47112534,48447336,47967851,38054594,29490708,29490709,38054596,38336461,38336460,42903386,33858293,26036927,26036926,33858291,42903379,53369439,64384463,59358963,52510800,42152923,42152922,256686480,59359010,59359011,58490573,58490564,52510814,47112543,42152896,42152898,269503937,47967811,47967813,59358956,70953640,58236549,58236551,60338078,72092666,59358968,59358969,59358995,60338103,48940644,48940643,42647221,33619614,25819188,19169039,13688464,9374407,6140974,6140975,9374410,13688470,19169055,25819212,33619635,42647238,53097829,65083623,78365594,88103529,78892000,270578049,90272477,88103513,74491391,61708802,50228055,40206758,257083075,51654987,51654986,63398401,63398403,51654988,50228061,50228062,61708814,61708829,50228080,40206770,31520996,24019673,17670718,12495877,8464155,5469943,5469945,8464157,12495880,16023587,16023588,16017591,255394505,15325829,11121427,11121428,11122525,16017617,11121438,7377692,7377690,11120928,11332876,11332879,11124078,7378378,5469829,3364446,1978584,1978583,1629378,926496,522214,292703,292705,522222,926206,1628845,1625019,923980,923981,1625022,2801413,4650875,7363049,4661051,2808075,2807639,1628788,254164964,522045,926177,1628796,2807653,4660283,4662254,7377326,7377325,11122522,16019249,15361780,15361781,21335142,28561653,24019495,17670571,12495740,8464030,5469801,3364429,1978574,1978573,3364426,2808702,1629387,1629388,2807731,2807733,4650852,3366911,1980917,1980916,3366905,5472133,8466301,12498614,12494636,8463009,5468759,3363350,254187609,633047,633048,1128959,1977642,3363354,5468766,7363031,4650863,4650862,4662109,7379547,8464009,8464008,12495716,12494576,11125595,7379382,7379383,8462848,12494473,12497288,8465197,5470984,5470986,8465201,12494492,8462862,5468648,3363265,1977597,1128932,1128933,1977600,3363271,3367165,1981074,1131383,1131384,1981079,3367173,5472415,5472391,3367151,1981066,1981065,3367147,5472345,3367121,1981054,1131376,1131374,1981046,1981022,1981021,3367073,3367288,5472540,5472315,5472314,5473072,5473073,8466318,8466316,12497322,8465235,8465236,8467021,12498667,12498672,12498047,8465953,8465955,12497337,12494468,8462839,5468632,3363250,1977585,1128928,1128929,1977592,1131404,634532,352136,352135,634527,1131393,1981097,3367197,3363458,3363456,5468863,8463090,8465224,8465225,8466406,5472309,3367103,3367100,5472300,5469386,5469389,5471020,5471019,8465254,8465222,8465221,5472508,5472166,3366939,1981030,1981028,3367085,5471012,5471011,8465245,12494656,8463046,5472932,5471067,3365764,1979902,1979903,3365770,3367054,1981007,1131359,634512,352129,192848,105223,105224,192853,352143,634548,1131363,1131364,1981015,3367067,5472269,8463720,5469483,3364105,3364106,5469521,8463725,8463726,8465216,12495435,12495341,8463642,8463643,8466354,8463706,5469467,3364066,1978266,1978263,3364057,5468479,3364479,3364480,1979865,1130550,634000,633997,1130541,1131343,1131349,1131348,1980988,3367019,3367305,3367046,3367037,1980998,1980997,3367030,3366973,1980954,1131330,1131329,1980951,3366970,3367061,3367059,5468870,3364087,1978275,1129379,633293,633295,1129383,1978282,3364102,5469515,3365125,3365124,3364072,3364074,3365119,5470458,3365540,1979693,1130444,633930,633929,1130440,1129626,1129627,1130567,634014,351866,351865,351871,351868,352151,352152,634567,1131460,1981191,1977746,1977741,1977743,3363497,3365807,1979942,1979941,1131334,1131335,1980962,3366983,5468590,5468591,8462796,8463694,5469458,3364055,1978260,1978259,3362792,3362793,3365618,3365619,5470945,3368016,3368017,5468814,3365647,1979791,1130496,1130495,1979786,1131564,634618,634619,1131543,1129737,633494,633496,634050,351883,192728,105170,105171,192732,351893,634069,1129038,633101,351397,351398,633106,634798,633090,633089,1129023,1128900,1128902,1977551,2976144,3363216,3363625,5469073,3367709,3367710,3363155,1980093,1979760,1130483,1130482,1979755,1981282,1977805,1977807,3363589,5468841,5470121,5470120,3365212 Dl.O(d2) = 1980040,1130695,1129709,633479,254136361,1978729,3363045,3363046,254408889,1980379,1131538,1131537,1981300,3363813,3362023,1976621,1976620,3362020,3366592,1980625,1131097,1128618,1128617,1130854,1980281,3362813,1977221,1977223,3362808,5467375,5467376,3363660,3362227,1976791,1130922,634243,351976,192773,192774,351981,634253,1130939,1980390,1131471,1128527,632806,351259,192421,105013,57742,32497,32498,57748,105028,192447,351311,632895,632897,1128678,1977155,3362720,5231266,3192578,3192579,5231267,5467337,8461680,8160525,8160524,8462130,5467895,3362524,1977007,1128587,632842,632841,1128584,1977000,1976525,1128310,632697,351198,351197,632694,634225,634226,634601,634602,1131534,1981293,1976887,1976888,3362313,1976853,1128502,632794,632795,1128504,1976856,3362318,5467678,5467822,8160499,5231174,3192509,3192508,5231171,254833457,12128812,8462742,5468506,5467826,3362458,1976960,1128564,1128566,1976976,3362490,5467865,5468292,5468290,3365396,1979526,1979525,3192491,5231148,8160311,5230969,3192497,3192501,1868577,1065893,599119,333797,183660,100657,100656,183655,333788,599097,1065853,1868504,3192445,3365979,5231084,5231202,5467597,5467307,3361924,3361925,3192267,1868401,1065798,1065799,1868406,1977254,1977253,1977313,1977312,3362963,3362466,1976962,1976965,3362473,5467847,5231324,5230823,3192243,3192242,3192475,1868518,1868517,1868471,1868472,254389923,3192465,5231114,3192557,1868570,1868569,1868447,1065823,599073,333778,333780,599081,1065829,1868462,3192374,3192215,1868376,1868375,3192210,3192649,3192648,5231379,5230947,5230842,3192256,1977297,1128759,632950,351325,351326,632954,1128768,1977322,3362974,5231120,5467833,8160384,8160383,8462676,8160445,8160136,8160133,5231104,3192453,1868673,1065948,1065951,1868687,1130757,634143,634142,1130751,1980116,3192317,3192297,3192294,5230900,8160225,12128827,8160201,5230887,3192285,3192286,5230891,8160206,12128834,17246902,12128882,12128877,12128878,8465384,8465385,12494173,12499472,8467005,8466999,12493644,8462200,8462201,12493648,12497745,17247414,17247057,12129023,12129024,17247041,12129005,12129004,12494167,8462575,8462574,5471970,5471968,8466096,12498303,17673995,17675960,17670779,17670780,17668538,17668539,17668601,12494153,12494152,17247007,12128971,12128969,17246998,23556009,31038038,31528683,31525333,31525332,39716001,38532646,38532648,31518625,31518623,27078284,24025995,17675558,12499460,12499461,17667524,23556023,23556022,21160773,21160774,23556431,17247341,12499303,12499304,17675332,17667620,17247358,12129348,12129349,17247527,12493541,12493544,17667720,12498015,8465928,8465927,12498008,17673533,22153518,22153517,23556637,23556638,22153469,16033297,11132710,7384450,7384449,11132707,16033289,17673567,12498022,12498018,17673557,17675933,24026429,24016148,24016149,27078292,20181392,20181393,24023805,27078261,24026445,24026444,31038507,27078321,20244267,20181448,14479604,9962507,6547650,6547648,8461986,8461983,12493470,12495621,17670413,17673599,24015960,24015959,24015864,17673521,12498002,12498003,17673526,24023363,31525303,31038822,268672661,35165962,27078215,27078214,256535571,24016113,20244417,14526551,255338961,27156093,29492689,38056720,35255254,27156195,27156197,24016016,24016015,20244313,14526488,9995199,6568927,4115052,4115053,6568929,9995206,10695858,7066167,7066166,10695851,15468511,21470667,27156073,31525370,28727756,28727755,35255250,40203923,31517222,31517221,40203920,35255028,27156058,20244389,14526531,9995226,6568938,6568937,9995220,14526522,20244375,27156035,29492645,22153568,16033364,11132748,11132750,11132760,16033385,22153590,29492676,24007949,24007925,22153622,22153621,20244495,14526596,9995262,6568956,4115061,2461423,2461424,4115065,6568960,9995272,14526621,15468507,15468508,17669138,17669137,20244407,27156081,29492625,35255085,35255084,40193122,40203917,40203916,38056728,38056727,35255055,27156051,27156050,24016171,20244357,20244356,20244349,20244351,27155998,31517800,24016326,17667966,17667967,22153554,22153555,29492614,31517519,31507437,24007954,17661859,17661848,12489538,12489539,17661900,20244459,14526568,9995248,6568949,6568947,9995232,9995267,9995268,12498176,8466020,8466021,12498182,12494675,12494676,17669148,24017766,24008027,17667958,12493738,12493737,17667952,17919216,24302707,31517329,24015934,24015931,31517324,31517577,31517578,27156038,27156040,24016183,17667875,12493692,12493693,17667880,17667976,24016343,31517697,31507465,24007974,17661872,12489524,8459269,5465843,5465844,8459276,12489544,17661912,24008037,20244445,20244446,27156125,20244508,14526605,12498237,8466042,8466041,12498230,17673884,24023851,31525810,38932693,31507542,24008031,24008032,24016279,24016278,17673764,17673763,24023642,31519314,40205600,50227254,44639687,256232755,27156099,35255151,35255155,35255154,40193041,31507455,24007966,17670092,17670093,24018891,31507471,31507473,40193063,40213351,257083641,50233322,40212778,31526948,24025028,24024823,24024822,31526633,24025387,17675087,17674796,12498982,8466687,8466686,12498979,17674788,24024813,31526623,40212310,40212320,31527574,24025432,17675117,17673841,17673843,24023777,31525708,31526600,40204155,40204154,40213168,31527313,24025258,17675019,17675020,24025086,31526882,40212689,31527498,31527499,40212558,31526823,24024945,17674858,17674859,24024951,31526837,24025093,24025091,17674986,12499080,8466733,5472576,3367317,1981174,1981175,3367323,5472593,8466767,12499167,12498990,12498989,17674808,24024841,31526615,31527088,40212294,40212293,31527156,24025164,21829229,15761169,15761170,21829216,21829215,29136506,31517527,31517529,40204163,31526718,24024885,24024884,24025077,24025078,31527031,37974830,37974831,47892658,50233133,50233135,50233130,50233129,61712968,50233670,50233671,257666605,50233469,40212990,31527141,29619610,22268647,16127622,11203393,11203394,16127627,22268665,29619645,38186711,38186633,38186632,40212658,31526860,31526859,38186597,40212632,40212627,40212628,40212640,31526892,31526738,31526737,40212480,48098233,40212621,33114919,25379669,18794900,18794901,25379672,33114924,42063775,40213249,40213250,50233683,50233078,40212496,40212495,50233070,59486797,64262575,52407417,42063759,33114908,33114909,37728091,40214103,40214101,50234055,40213787,31527976,31527975,31525963,24023992,256030193,40211842,50232532,61712571,74494520,72382047,59647197,59647196,60570557,73313449,61713032,61713033,74494791,61713477,61713476,72925551,60186342,48789902,38867744,38867745,40207218,37002707,28504912,21286094,21286095,28504918,30650590,28504921,28504920,30281946,22884336,22884338,21286080,21286079,28504879,37002658,46881371,48386946,38484257,37002640,31778338,24265836,24265837,31778344,40213776,40213777,50234044,50234319,61713497,61709243,50228531,40207180,40207179,50228527,50229142,50229141,40207942,40207943,50229166,59208023,50068257,40048955,40048953,38349169,37591494,37591495,38867765,30282095,22884417,16655648,16655646,22884412,30282083,38867735,40207207,31521381,31521380,40207204,40207228,38867504,30281927,22884328,22884327,30281923,38867490,48789624,40472942,31778351,30044285,30044284,31521448,24020038,24020039,31521429,40207284,40207314,50228652,48789813,38867675,30282044,22884395,22884396,30282048,38867682,48789827,58131627,58687072,47808775,37885370,37885369,47808771,50229329,50229330,49345513,39415928,30810787,30810785,37482532,46494484,36628001,36628000,38867657,38867658,48789784,57850496,49345502,49345504,59598586,50228550,50228551,50229519,50229518,41934176,32993469,25269364,25269365,32993477,41934192,48789792,40207998,33884195,26059830,26059832,33447108,25676270,19054465,13602589,13602588,19054458,25676263,33447093,40208581,40891392,40208577,40208576,47439503,40208441,38301375,38301378,31522467,30810803,23382274,17111854,17111853,23382269,30810794,36628010,28154313,28154317,36628023,40207903,40207902,40208185,40057801,31522380,24020862,24020861,31522334,31522809,31522810,31522826,24021265,24021266,31522832,40208564,47025831,37137663,28624865,28624864,24021327,17671965,12496681,8464739,8464738,12496675,16017398,22132757,29467985,24020910,17671674,12496517,8464669,5470489,5470490,8464676,12496527,17671707,24020963,31522210,31522212,31522217,39415980,38867612,30810889,23382360,23382361,26166891,19466378,17671897,12496640,8464726,5470513,5470514,8464731,12496656,17671923,12496822,8464809,5470544,5470543,8464808,12496817,17672188,24021660,23382234,17671743,12496550,8464683,5470496,5470497,8464687,12496557,17671754,24021029,31522509,38030521,38030520,31522920,31522921,31522778,31522776,24021362,17671988,12496695,8464744,8464743,12496689,17671977,12496802,8464803,8464804,12496810,17672172,24021521,17672094,12496761,8464781,5470536,3365152,3365153,5470542,8464799,12496647,12496646,17671905,24021164,17671834,17671835,24021168,29590328,31522714,24021490,24021491,24021000,17671732,12496540,12496538,17671725,24020987,24020802,24020801,31522301,29589703,29589702,38156037,40208018,40208019,40208514,40207970,31523026,31522909,31522908,40208650,38182485,30806195,30806194,24021608,17672154,17672152,23378095,17108325,12022438,8082728,8082727,12022433,17108314,254386382,38182459,29615337,22264285,16123519,16123521,22264292,17672132,17672133,24021583,31522517,31522516,31523228,31523227,40208926,50229743,61709817,59587717,48201230,38291817,31522995,31522996,40208726,33012881,28080925,28080926,33010315,36594411,28121304,20964884,20964886,25302485,25287809,18714853,18714854,25287814,33012820,33010361,33010359,33010332,25285389,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,13319012,13319011,18712347,20984609,20984612,25285233,29653507,31539393,25286213,21155813,16705008,13381184,9146460,5985471,3742697,3742696,5985466,9146451,13381170,12664663,12664665,13321638,18714911,25285552,25285551,25371264,28121303,28121325,29590206,22241959,16105704,16105705,22241964,25287978,18715045,13321725,13321724,18712505,13319124,9099321,5953459,5953458,9099317,13319112,18712446,13319084,13319021,9099263,5953425,5953423,9099256,13319008,18712339,24036443,17684955,17684956,24036447,23150739,16889986,13381141,9146436,5985455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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8150088, s2 = 8172528, dlinesl.size( ) = 2 s1 = 8150088, s2 = 8172528, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8150088, Dl.E( ) = 10, 1.41e-05 seconds used appending s1 = 2810130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110847, s2 = 1425915, int(edited[s2]) = 0 s1 = 14110847, s2 = 1425915, d1 = 10, d2 = 14 Dl.O(d1) = 139848669,126477579,112609188 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110847, s2 = 1425915, dlinesl.size( ) = 2 s1 = 14110847, s2 = 1425915, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14110847, Dl.E( ) = 18, 2.41e-05 seconds used appending s1 = 14060452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14060452, s2 = 2480655, int(edited[s2]) = 0 s1 = 14060452, s2 = 2480655, d1 = 62, d2 = 84 Dl.O(d1) = 39535065,49469065,57655878,51916120,51916121,52715315,42328755,42328754,52715873,46463199,46463200,42329464,33348038,33348037 Dl.O(d2) = 258709605,84442095,70884830,58170764,46803378,36925218,28426574,28080310,28080309,23718111,23718113,31205136,39884533,49905349,50216760,50216761,61698856,258156490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060452, s2 = 2480655, dlinesl.size( ) = 2 s1 = 14060452, s2 = 2480655, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14060452, Dl.E( ) = 98, 3.7e-05 seconds used appending s1 = 1481678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14183501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13655205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13655205, s2 = 2217336, int(edited[s2]) = 0 s1 = 13655205, s2 = 2217336, d1 = 60, d2 = 11 Dl.O(d1) = 161471381,149185680,135961988,122034694,107660461,93258098,79143130,65788989 Dl.O(d2) = 59727149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13655205, s2 = 2217336, dlinesl.size( ) = 2 s1 = 13655205, s2 = 2217336, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13655205, Dl.E( ) = 64, 1.79e-05 seconds used appending s1 = 2387883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2387883, s2 = 6473454, int(edited[s2]) = 0 s1 = 2387883, s2 = 6473454, d1 = 22, d2 = 4 Dl.O(d1) = 64854447,257104002,21951406,15860838,10993264,7277325,268537286,910040,513369,287941,287942,481047,851680,1502455,2603546,4347166,6919761,8611338,10493969,10493970,12140396,12190345,10993399,8749086,5696326,5696325,8749062,6855151,6855152,10399188,10494234,15102476,10494202,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110419,1481000,1481001,2572267,4302205,2761140,2761141,4589419,7277321,6509594,6509595,9903999,6509571,6509572,9903980,6509561,6509559,9903973,14398726,20082257,20082576,14398932,9904103,6509625,6509624,9904098,10993234,10993233,8220519,5290437,5290440,8220524,12190329,15687997,10860309,10860310,14398902,20082529,26967645,21171843,15213125,15213128,12679380,8611353,8611356,5696264,3544259,3544255,5696250,8748968,12864700,10993224,7277293,4589403,4589401,6509611,4079223,2440738,1411181,1411178,2440727,4079208,6509582,9904011,12190195,17314696,21737208,21737207,20082640,14398967,9904118,6509631,6509630,9904113,14398953,17314910,12190309,12190310,17314901,23630835,21171812,21171811,23050430,25118823,25118820,31116903,26967328,26967327,26967373,26967374,31793617,28392074,21172740,21172739,28392065,256841501,47761351,47761350,257405441,46514205,57870370,259464136,47761348,44423039,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,39759116,49777734,49777735,59408435,59408432,63121579,58563272,47174371,37268444,37268446,40951546,40436020,31741879,24232194,17858709,15860136,15860135,21950449,21950452,29039500,29039499,37587045,41227861,37560153,29013775,29013773,32403659,41227833,37840095,29273741,29273743,37840105,47475765,48503104,40367919,31673323,29533588,22190566,21281997,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,32403618,41227785,37594631,37594632,47498806,50473367,258291895,74766717,61967420,50472682,268690669,24231328,256389475,29549485,29549575,29549576,268621179,21731981,15684255,15684257,21731991,24232226,22906566,22906568,30305732,29021352,21732355,15684499,10858023,7178493,7178491,10858016,15684490,21732340,24234875,17860644,12648084,12648082,12647043,12647044,17858881,24232470,17860597,17860595,15679769,15679770,21725454,29012802,24232412,24232413,31742191,37599409,29051377,22907286,16675381,11639522,7754409,4911024,4911025,7754415,11639530,10857061,10857060,10865921,10865920,15696390,21748762,15696350,10865891,7184116,7184115,10865829,10865845,15696203,15696201,21734925,21749867,21749866,24000460,24000459,29018518,29018060,29018062,29006054,21720104,15675927,15675928,21720109,24229696,31738788,24231623,17858363,15684070,10857815,10857814,15684068,21731698,29020606,21735448,15686619,10859446,10859445,15686613,16676033,11639903,7754603,7754604,11639907,11639950,11639952,16676101,15673725,15673724,15695830,15695831,18853340,18853339,15696075,10865735,7184059,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688746,1688744,2911022,4830970,7636252,8585752,12644954,17855438,21724930,15679437,10854878,7176531,7176536,10854899,15679474,21724998,29009423,24239475,21731214,15683929,10857739,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220 Dl.O(d2) = 254926156,36836348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2387883, s2 = 6473454, dlinesl.size( ) = 2 s1 = 2387883, s2 = 6473454, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2387883, Dl.E( ) = 24, 1.6e-05 seconds used appending s1 = 9081040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 765698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 503089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6459500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6644629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6644629, s2 = 685911, int(edited[s2]) = 0 s1 = 6644629, s2 = 685911, d1 = 17, d2 = 23 Dl.O(d1) = 256895058,50049649,40029607,31349235,23855255,17512088,12348802,8343172,5385045,3311419,1948100,1948102,3311428,5385064,8343208,12348871,17512184,23855409,24517602,18086778,12822521,8717838,8717839 Dl.O(d2) = 17512031,23855160,31349095,40029394,50049376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13347047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3394514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10141338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343612, s2 = 3573516, int(edited[s2]) = 0 s1 = 10343612, s2 = 3573516, d1 = 19, d2 = 20 Dl.O(d1) = 20844464,20844465,28009333,36468276,46321196,57665430,49102169,39171907,39171908,49102172,57665424,46321182,46321181,257427125,258963203,257725026,24671803,18208211,13427871,13427870,15834097,21917809,15837100,15837099,15833352,10972334,10972335,15833358,21916771,25445959,25445958,27108542,21920927,21920925,21916479,21916480,21916684,29233965,37796369,29461717,22127309,22127308,21921405,21921406,29240318,29461690,25446554,18849432,18849431,25446551,33191353,29233650,21916401,21916402,15836080,15836082,21920873,29239585,33190107,25444714,18847700,13428628,9181295,9181298,13428387,18847338,25444320,21922861,21922859,24563014,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,16829983,19219086,25878424,256028163,256028161,33189270,255663531,13428055,255130741,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781 Dl.O(d2) = 106583278,259615662,257747810,33553476,42570555,53010679,64985575,78258801,92285472,106583293,120831057,134627669,147757987,160021249,171257628,171257619,160021235,160021234,171257616,160021254,147757991,134627672,120831061,106583300,92285477,78258808,64985581,53010681,53010682,64985585,78258813,92285483,260306667,134627676,120831063,106583302,92285479,92285480,106583304,260901023,147757977,134627661,120831041,106583281,92285463,78258798,78258801,92285472,106583293,120831057,134627669,147757987,160021249,171257620,262434656,147757992,160021257,160021246,160021245,262952915,181294589,171257632,262434654,261396732,106583296,106583297,260901021,134627678,120831065,106583307,106583306,120831055,134627668,134627674,134627673,147757992,160021257,160021246,147757981,261396730,120831049,109365291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343612, s2 = 3573516, dlinesl.size( ) = 2 s1 = 10343612, s2 = 3573516, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10343612, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14053669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053669, s2 = 9735787, int(edited[s2]) = 0 s1 = 14053669, s2 = 9735787, d1 = 4, d2 = 29 Dl.O(d1) = 32235728 Dl.O(d2) = 47420186,37512425,28969150,255169766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053669, s2 = 9735787, dlinesl.size( ) = 2 s1 = 14053669, s2 = 9735787, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14053669, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 508910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 352527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 512078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040310, s2 = 8026622, int(edited[s2]) = 0 s1 = 14040310, s2 = 8026622, d1 = 0, d2 = 0 Dl.O(d1) = 7046696,4434989,4434990,7046697,10669403,13703637,9385922,6149100,6149101,9385926,13703695,15614576,10803548,10803547,14538786,14538787,20263868,254665486,34309247,26431276,19693313,14120183,14120182,19693309,26431272,34309241,42767568,47090713,37463085,28923534,268439418,36883377,37880683,29311809,21983957,15888141,11013853,11013852,15888138,21983953,28923499,28923498,37463014,256630542,47368226,47368225,53217330,256630550,31760338,24248508,17871458,17871457,23980641,31477290,40161876,47368323,48935313,48935312,58753976,47368263,254914530,28923660,21647950,15614775,15614774,21647947,28923657,37463179,255252512,21647986,15614795,10803674,10803673,15614793,21647983,28923358,28923822,28923823,37463322,37463035,28923471,28923470,28923564,21647860,16776805,16776803,16776696,11729738,11729739,16776701,23016963,30422309,23017121,23017120,30422389,23017059,16776764,15614823,10803689,7138714,4494628,4494626,7138711,10803680,15614806,21648005,28923718,30422404,24337773,24337774,31859880,37883082,37463162,28923629,21647926,15614760,15614759,21647922,28387472,29314220,21986104,15889809,15889808,21986101,29314217,37883074,38034809,29472038,22135912,22135910,29472035,28387423,28387421,268397208,30422359,28923636,21647932,21647930,26896466,28387475,21169064,15211187,254758492,21647929,21647928,28923633,31859686,255067400,17947626,24337617,31859491,256115630,29431462,29431461,29314227,21986115,15889815,15889814,255441439,17947327,12717626,8641155,8641156,12717628,17947332,16019696,16019694,15889813,15889811,21986112,24336940,24336941,30422343,23017003,23016996,16776724,16776723,23016993,24337356,31859473,37463176,37993667,256161700,22135950,23017042,24337077,24337076,24337556,24337605,24337604,31859672,38034798,30422330,23016985,17947078,17947077,268265907,31859666,256052747,24337112,24337046,17947380,255599421,17946930,17946929,24336945,22135992,22135993,29472118,29431464,29431465,29472022,22135898,16019650,16019649,22135895,17947632,17947635,15990274,15990276,16019703,22135957,17947561,12717837,12717835,12717420,8641011,5619766,5619765,3491269,2073860,1191330,1191332,2073864,3491276,5619987,8641076,5619808,5619809,8641005,8641006,12717414,12717789,12717790,11255243,11255245,16191591,12717617,8641148,5619857,3491216,3491215,5619854,8641140,8641174,8641172,5619905,5619906,5619923,5619922,8641267,12717781,8641405,5620017,5620018,8641211,12717712,12717484,8641068,8641069,12717504,17947195,12718002,12718004,17946996,12717337,8640948,8640947,12717336,12718000,8641419,8641383,5620000,3491288,3491285,5619993,8641375,12717933,12254898,8276406,5340167,5340166,8276404,255166783,23714474,24281078,17900541,17900542,268152536,24780089,32404129,41164424,32393676,32393677,25490237,25490236,32393692,24771088,24771087,32393690,32349551,32349550,269041617,32393701,32393702,24771104,24771102,32393707,31181073,31181074,39863508,49885647,53707852,51425652,51425651,43196102,34109789,26245763,19528358,19528359,26245766,256699315,53707811,65764755,55672836,44763503,43331279,35337155,27212927,20284446,14554506,10014643,268050737,20284444,27212925,35337153,44763540,44763557,35337170,35337165,35337164,35337201,35337200,44763592,55672850,44763517,44763516,43352473,34302706,26425307,19687981,19687982,26425309,34302710,43403925,35337243,27212983,27212982,35337240,31720637,31720638,34252502,43352491,53877472,65945096,68071759,74730744,61937153,55672857,44763529,256675970,43352415,43352420,53877453,53877528,53877492,43352458,34252476,26375380,26375378,34252474,43352455,35337184,35337183,256707102,27212886,255590155,12635451,12635452,17843119,256042675,31720652,31720653,40412429,257267261,50697068,40637806,40637807,50697072,50446371,50446370,61937124,74730742,257839282,53877447,58500185,71222108,74730761,61937158,61937157,65945059,53877429,43352398,34252442,34252443,43352402,53877436,65945069,65945090,53877465,43352427,34252461,34252462,43352430,53877471,53947594,43421580,43421581,53947595,65945081,74730750,65945076,65945075,66001304,78413847,78413848,65132190,257697906,92449658,92449657,100132257,86166568,79116743,72424482,59689177,48302523,38392236,29819851,29819850,38392235,33274992,257204849,64539229,70407423,57713299,46363878,46363879,42696472,33665642,33665644,42696479,257824541,78413818,78430125,65148045,53163595,42713860,42713861,43421590,53147075,42696458,42696457,53147072,47121547,37223773,37223772,33665614,25859294,25859295,33665618,33665606,25859288,19202026,19202027,19202033,25859306,268760827,53147087,50446357,50446358,58738236,71467915,269574496,111715598,97792765,83933739,83933740,79116727,65760438,53703260,53703261,59832949,59832950,72568419,71467858,64540194,64540195,65968227,53901948,43378119,34279242,34279241,43378115,53901943,59689150,48302495,38392193,38392194,48302497,42696460,33665633,33665634,42696462,47121537,47121536,53703326,47121270,47121271,42714429,42714428,53164192,43378122,34279243,34279244,43378125,48302528,43378132,34279249,34279248,255714116,28697863,256316620,15449636,21446087,26242516,19525423,13978430,13978428,1952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,59544912,256942665,29684227,38249105,48158130,59544913,72025008,59288549,47892549,37974691,37974690,269334927,72025001,85613407,72025000,256924056,269334927,72025001,85613407,72025000,72024999,59288549,47892549,37974691,29411190,22080697 Dl.O(d2) = 7046696,4434989,4434990,7046697,10669403,13703637,9385922,6149100,6149101,9385926,13703695,15614576,10803548,10803547,14538786,14538787,20263868,254665486,34309247,26431276,19693313,14120183,14120182,19693309,26431272,34309241,42767568,47090713,37463085,28923534,268439418,36883377,37880683,29311809,21983957,15888141,11013853,11013852,15888138,21983953,28923499,28923498,37463014,256630542,47368226,47368225,53217330,256630550,31760338,24248508,17871458,17871457,23980641,31477290,40161876,47368323,48935313,48935312,58753976,47368263,254914530,28923660,21647950,15614775,15614774,21647947,28923657,37463179,255252512,21647986,15614795,10803674,10803673,15614793,21647983,28923358,28923822,28923823,37463322,37463035,28923471,28923470,28923564,21647860,16776805,16776803,16776696,11729738,11729739,16776701,23016963,30422309,23017121,23017120,30422389,23017059,16776764,15614823,10803689,7138714,4494628,4494626,7138711,10803680,15614806,21648005,28923718,30422404,24337773,24337774,31859880,37883082,37463162,28923629,21647926,15614760,15614759,21647922,28387472,29314220,21986104,15889809,15889808,21986101,29314217,37883074,38034809,29472038,22135912,22135910,29472035,28387423,28387421,268397208,30422359,28923636,21647932,21647930,26896466,28387475,21169064,15211187,254758492,21647929,21647928,28923633,31859686,255067400,17947626,24337617,31859491,256115630,29431462,29431461,29314227,21986115,15889815,15889814,255441439,17947327,12717626,8641155,8641156,12717628,17947332,16019696,16019694,15889813,15889811,21986112,24336940,24336941,30422343,23017003,23016996,16776724,16776723,23016993,24337356,31859473,37463176,37993667,256161700,22135950,23017042,24337077,24337076,24337556,24337605,24337604,31859672,38034798,30422330,23016985,17947078,17947077,268265907,31859666,256052747,24337112,24337046,17947380,255599421,17946930,17946929,24336945,22135992,22135993,29472118,29431464,29431465,29472022,22135898,16019650,16019649,22135895,17947632,17947635,15990274,15990276,16019703,22135957,17947561,12717837,12717835,12717420,8641011,5619766,5619765,3491269,2073860,1191330,1191332,2073864,3491276,5619987,8641076,5619808,5619809,8641005,8641006,12717414,12717789,12717790,11255243,11255245,16191591,12717617,8641148,5619857,3491216,3491215,5619854,8641140,8641174,8641172,5619905,5619906,5619923,5619922,8641267,12717781,8641405,5620017,5620018,8641211,12717712,12717484,8641068,8641069,12717504,17947195,12718002,12718004,17946996,12717337,8640948,8640947,12717336,12718000,8641419,8641383,5620000,3491288,3491285,5619993,8641375,12717933,12254898,8276406,5340167,5340166,8276404,255166783,23714474,24281078,17900541,17900542,268152536,24780089,32404129,41164424,32393676,32393677,25490237,25490236,32393692,24771088,24771087,32393690,32349551,32349550,269041617,32393701,32393702,24771104,24771102,32393707,31181073,31181074,39863508,49885647,53707852,51425652,51425651,43196102,34109789,26245763,19528358,19528359,26245766,256699315,53707811,65764755,55672836,44763503,43331279,35337155,27212927,20284446,14554506,10014643,268050737,20284444,27212925,35337153,44763540,44763557,35337170,35337165,35337164,35337201,35337200,44763592,55672850,44763517,44763516,43352473,34302706,26425307,19687981,19687982,26425309,34302710,43403925,35337243,27212983,27212982,35337240,31720637,31720638,34252502,43352491,53877472,65945096,68071759,74730744,61937153,55672857,44763529,256675970,43352415,43352420,53877453,53877528,53877492,43352458,34252476,26375380,26375378,34252474,43352455,35337184,35337183,256707102,27212886,255590155,12635451,12635452,17843119,256042675,31720652,31720653,40412429,257267261,50697068,40637806,40637807,50697072,50446371,50446370,61937124,74730742,257839282,53877447,58500185,71222108,74730761,61937158,61937157,65945059,53877429,43352398,34252442,34252443,43352402,53877436,65945069,65945090,53877465,43352427,34252461,34252462,43352430,53877471,53947594,43421580,43421581,53947595,65945081,74730750,65945076,65945075,66001304,78413847,78413848,65132190,257697906,92449658,92449657,100132257,86166568,79116743,72424482,59689177,48302523,38392236,29819851,29819850,38392235,33274992,257204849,64539229,70407423,57713299,46363878,46363879,42696472,33665642,33665644,42696479,257824541,78413818,78430125,65148045,53163595,42713860,42713861,43421590,53147075,42696458,42696457,53147072,47121547,37223773,37223772,33665614,25859294,25859295,33665618,33665606,25859288,19202026,19202027,19202033,25859306,268760827,53147087,50446357,50446358,58738236,71467915,269574496,111715598,97792765,83933739,83933740,79116727,65760438,53703260,53703261,59832949,59832950,72568419,71467858,64540194,64540195,65968227,53901948,43378119,34279242,34279241,43378115,53901943,59689150,48302495,38392193,38392194,48302497,42696460,33665633,33665634,42696462,47121537,47121536,53703326,47121270,47121271,42714429,42714428,53164192,43378122,34279243,34279244,43378125,48302528,43378132,34279249,34279248,255714116,28697863,256316620,15449636,21446087,26242516,19525423,13978430,13978428,1952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,59544912,256942665,29684227,38249105,48158130,59544913,72025008,59288549,47892549,37974691,37974690,269334927,72025001,85613407,72025000,256924056,269334927,72025001,85613407,72025000,72024999,59288549,47892549,37974691,29411190,22080697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040310, s2 = 8026622, dlinesl.size( ) = 2 s1 = 14040310, s2 = 8026622, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14040310, Dl.E( ) = 2, 1.19e-05 seconds used appending s1 = 468454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8191810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341337, s2 = 11244166, int(edited[s2]) = 0 s1 = 10341337, s2 = 11244166, d1 = 81, d2 = 122 Dl.O(d1) = 254479612 Dl.O(d2) = 260621117,270916709,259417880,257678315,48459475,269350515,72588083,72588076,72588075,257678317,50412554,258287535,259403041,258153911,48459463,48459464,48459465,38547223,255923595,22611585,29978358,38547222,48459469,59850196,72588072,258153923,38547232,38547231,48459471 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 304551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13286991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9789211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9789211, s2 = 11231547, int(edited[s2]) = 0 s1 = 9789211, s2 = 11231547, d1 = 1, d2 = 1 Dl.O(d1) = 2211051,3620587,3677471,3677470,3679640,3679641,5891972,9022570,13231932,18615179,25174392,25754181,31278336,31278335,39953263,47291816,47291817,54661892,43919447,34646436,34646437,38985125,30397417,22993480,16754589,16754588,22993479,30397415,38985121,48906882,49969918,267854078,74227108,73210584,60464086,60464087,73209779,61447720,52196955,255220946,73040909,73040910,73040920,60302252,60302251,63984235,63984234,64973948,52998995,254894146,71364767,63013836,51332950,254629834,255226234,51332952,63013839,70769758,60463048,49059441,39129500,39129499,49059438,41783005,41783004,52096233,63914905,75997012,75997013,84328662,70769710,70769709,84328660,256591080,78247332,92274364,106571966,100612370,86643615,256079508,52096242,41783009,41783008,52096240,63914907,70769792,58051443,58051442,70769770,58051391,46676645,46676644,46676605,36790643,36790644,46676607,43920725,34647629,34647628,43920722,43920702,43920673,34647584,34647583,43920669,52998939,42559001,33542622,33542624,42559005,52998946,64973872,52998911,43919335,43919336,41147506,41147505,49060295,39130488,39130490,49060297,58000675,58000674,63984198,52157431,41837377,32910931,32910930,41837374,52157426,52120943,46676661,46676660,46676670,46676669,58051395,58051394,255622432,46676525,36790567,28293952,28293954,30444515,36790548,28293933,255379601,10446393,6886418,4322816,2585847,1490497,1490496,2585845,254491045,10446386,15146815,21086883,15146796,15146795,21086882,21086891,15146800,255379597,28293906,28293962,36790578,36790565,28293950,28293949,36790563,46676509,39377033,30775624,29268313,29268314,37834457,47757006,59155719,60707092,70769740,58051340,46676582,46676583,46676470,36790511,28293996,28293995,36790621,46676429,36790625,28293998,28293999,36790627,36812688,28316516,28316517,36812690,36812691,46695762,58068209,256463050,46676635,36790663,28294022,21086963,21086962,28294018,28293970,28293969,36790592,46676552,58051313,70769687,70961653,70961656,256334026,47930633,38016497,29454276,22120149,16006458,16006457,22120146,29454266,29454280,29454283,30229887,28971980,21689886,21689887,28971986,31378491,40061164,48732937,38955778,30369667,30369668,38955772,30369650,22968133,22968132,22968121,22968120,30369633,38263753,29748622,22388701,22388700,29748619,38317619,48227147,39130162,30531623,23113116,23113114,30531617,30531626,30531627,39130164,39035083,39035082,42515385,52925930,268226728,91974960,88576098,74934326,62127422,58051712,58051713,46796547,36918767,28420867,21198348,15233924,15233925,21198353,28420873,36918778,46796565,38355219,38355218,48266233,59653156,58163907,46796531,36918753,28420853,21198341,15233917,268203521,28420848,36918746,46796522,58163897,70877912,84435279,98344873,92457139,78421165,65139443,65139442,258703654,49796438,257632095,65139463,65139462,78421194,92457171,92457178,79129439,65774162,53716758,43204458,43204457,42704442,33674013,25868085,19210386,19210384,256157953,42704429,53154673,65139466,78421197,92457173,106762460,106762503,259698998,92457206,260314601,97751078,97751079,99973933,86014637,269814301,48297377,48297378,59683761,258766557,86014664,72418485,59683758,59683757,258766555,86014640,72418446,59683731,59683730,72418442,72418441,86014631,72418436,59683724,48297353,256103764,57677870,57677871,70369589,83894173,97751066,97751086,83894206,258375768,257997501,70369613,70369601,57677888,57677890,257172468,80280938,80280937,94337027,83894169,83894170,269976404,48297351,48297352,50112151,40091591,31411799,23922092,23922093,31411801,257074293,61592187,74368658,74831814,62035374,50543635,50543633,40508034,40508035,50543634,62035372,74831811,88464998,102468433,111669980,97751080,88465016,88465017,97751084,108624171,116567153,102468426,88466528,74833344,74833345,72418435,258766537,61592185,61592184,74368653,87970706,88465002,74831818,62035377,50543638,40508039,31812217,24296930,17914424,17914425,24296933,31812221,40508046,257688559,74831857,88465041,102468472,114697114,102468445,88465014,88465015,102468447,116567167,130406750,128594319,114697113,100651675,100651676,102468434,258811452,116568487,116567162,102468442,258811448,74831829,88465010,102468440,91688782,91688783,88464993,88464994,88465032,74831847,74831846,88465030,102468464,116567185,130406754,116567190,116567189,128594322,128594321,270858340,130406748,260652580,116567178,102468457,102468456,102468439,102468437,88465038,74831853,74831851,259545337,116567174,102468452,102468453,116567176,125504450,111698753,111698754,125504452,130406741,130406740,129789478,129789480,116567172,115891257,101846487,87874002,87874001,101846485,111698766,258168642,86390998,86390999,87873963,74272049,61495190,61495191,74272051,61495198,50017174,39998945,31321412,23831126,17492751,12333845,12333847,17492755,23831132,31321422,39998958,50017197,267832750,39248441,30652600,30652602,39248443,39998951,48469057,48469058,59860061,72597620,255935832,255935830,30912925,39523262,49456682,60859391,73609138,87230184,86194913,72597626,72597624,86194908,100157544,258168660,86194903,100022208,86058968,86058969,86058956,72460666,255546348,48340428,268434488,257046608,74021517,84341213,70782533,70782532,84341211,98248365,112226502,126082254,139452941,152176904,156157439,153963864,153963863,259485088,127930734,114049622,258238224,112226499,112226498,102364245,88367237,74738256,61943675,61943676,74738259,88367243,102364253,101592812,101592811,115633341,129518520,116457571,116457570,271878905,143623117,259485086,141292010,260100380,133452309,133452308,142835604,261123326,271384574,125414301,111615467,111615466,125414299,260544518,98288669,84379537,70820881,58104157,58104156,70820880,259278975,107647928,122022409,135949966,141143776,127787049,258617866,99894173,113912613,127787047,127787076,113912625,102106802,88120005,85939232,72345588,72345589,61727462,50248978,40229138,40229139,50248981,61727466,74508616,88120011,257564410,74711731,88339623,88125919,259244340,102113690,102113691,99894171,99894172,99894184,85939139,257993854,48224727,38314905,38314904,46979092,37095750,37095752,46979096,256267886,84628074,98552022,112546003,114050334,100022967,86059759,72461522,59725804,59725805,72461524,86059761,98552037,85570160,71983085,71983086,85570162,99516860,258238272,260100412,114385831,114385832,127931429,141292718,260697594,140753446,153433702,141292716,127931428,114050327,114050326,114385842,272204067,113527995,259244342,113527994,113528019,113528018,114385830,128261982,261211001,128261992,128261991,140753447,141612352,128261988,114385840,100362445,100362446,101593389,100362449,86406067,72810912,60073582,48677487,48677481,48677482,60073577,72810906,60073584,60073583,71983106,59245937,47849383,47849382,59245934 Dl.O(d2) = 2211051,3620587,3677471,3677470,3679640,3679641,5891972,9022570,13231932,18615179,25174392,25754181,31278336,31278335,39953263,47291816,47291817,54661892,43919447,34646436,34646437,38985125,30397417,22993480,16754589,16754588,22993479,30397415,38985121,48906882,49969918,267854078,74227108,73210584,60464086,60464087,73209779,61447720,52196955,255220946,73040909,73040910,73040920,60302252,60302251,63984235,63984234,64973948,52998995,254894146,71364767,63013836,51332950,254629834,255226234,51332952,63013839,70769758,60463048,49059441,39129500,39129499,49059438,41783005,41783004,52096233,63914905,75997012,75997013,84328662,70769710,70769709,84328660,256591080,78247332,92274364,106571966,100612370,86643615,256079508,52096242,41783009,41783008,52096240,63914907,70769792,58051443,58051442,70769770,58051391,46676645,46676644,46676605,36790643,36790644,46676607,43920725,34647629,34647628,43920722,43920702,43920673,34647584,34647583,43920669,52998939,42559001,33542622,33542624,42559005,52998946,64973872,52998911,43919335,43919336,41147506,41147505,49060295,39130488,39130490,49060297,58000675,58000674,63984198,52157431,41837377,32910931,32910930,41837374,52157426,52120943,46676661,46676660,46676670,46676669,58051395,58051394,255622432,46676525,36790567,28293952,28293954,30444515,36790548,28293933,255379601,10446393,6886418,4322816,2585847,1490497,1490496,2585845,254491045,10446386,15146815,21086883,15146796,15146795,21086882,21086891,15146800,255379597,28293906,28293962,36790578,36790565,28293950,28293949,36790563,46676509,39377033,30775624,29268313,29268314,37834457,47757006,59155719,60707092,70769740,58051340,46676582,46676583,46676470,36790511,28293996,28293995,36790621,46676429,36790625,28293998,28293999,36790627,36812688,28316516,28316517,36812690,36812691,46695762,58068209,256463050,46676635,36790663,28294022,21086963,21086962,28294018,28293970,28293969,36790592,46676552,58051313,70769687,70961653,70961656,256334026,47930633,38016497,29454276,22120149,16006458,16006457,22120146,29454266,29454280,29454283,30229887,28971980,21689886,21689887,28971986,31378491,40061164,48732937,38955778,30369667,30369668,38955772,30369650,22968133,22968132,22968121,22968120,30369633,38263753,29748622,22388701,22388700,29748619,38317619,48227147,39130162,30531623,23113116,23113114,30531617,30531626,30531627,39130164,39035083,39035082,42515385,52925930,268226728,91974960,88576098,74934326,62127422,58051712,58051713,46796547,36918767,28420867,21198348,15233924,15233925,21198353,28420873,36918778,46796565,38355219,38355218,48266233,59653156,58163907,46796531,36918753,28420853,21198341,15233917,268203521,28420848,36918746,46796522,58163897,70877912,84435279,98344873,92457139,78421165,65139443,65139442,258703654,49796438,257632095,65139463,65139462,78421194,92457171,92457178,79129439,65774162,53716758,43204458,43204457,42704442,33674013,25868085,19210386,19210384,256157953,42704429,53154673,65139466,78421197,92457173,106762460,106762503,259698998,92457206,260314601,97751078,97751079,99973933,86014637,269814301,48297377,48297378,59683761,258766557,86014664,72418485,59683758,59683757,258766555,86014640,72418446,59683731,59683730,72418442,72418441,86014631,72418436,59683724,48297353,256103764,57677870,57677871,70369589,83894173,97751066,97751086,83894206,258375768,257997501,70369613,70369601,57677888,57677890,257172468,80280938,80280937,94337027,83894169,83894170,269976404,48297351,48297352,50112151,40091591,31411799,23922092,23922093,31411801,257074293,61592187,74368658,74831814,62035374,50543635,50543633,40508034,40508035,50543634,62035372,74831811,88464998,102468433,111669980,97751080,88465016,88465017,97751084,108624171,116567153,102468426,88466528,74833344,74833345,72418435,258766537,61592185,61592184,74368653,87970706,88465002,74831818,62035377,50543638,40508039,31812217,24296930,17914424,17914425,24296933,31812221,40508046,257688559,74831857,88465041,102468472,114697114,102468445,88465014,88465015,102468447,116567167,130406750,128594319,114697113,100651675,100651676,102468434,258811452,116568487,116567162,102468442,258811448,74831829,88465010,102468440,91688782,91688783,88464993,88464994,88465032,74831847,74831846,88465030,102468464,116567185,130406754,116567190,116567189,128594322,128594321,270858340,130406748,260652580,116567178,102468457,102468456,102468439,102468437,88465038,74831853,74831851,259545337,116567174,102468452,102468453,116567176,125504450,111698753,111698754,125504452,130406741,130406740,129789478,129789480,116567172,115891257,101846487,87874002,87874001,101846485,111698766,258168642,86390998,86390999,87873963,74272049,61495190,61495191,74272051,61495198,50017174,39998945,31321412,23831126,17492751,12333845,12333847,17492755,23831132,31321422,39998958,50017197,267832750,39248441,30652600,30652602,39248443,39998951,48469057,48469058,59860061,72597620,255935832,255935830,30912925,39523262,49456682,60859391,73609138,87230184,86194913,72597626,72597624,86194908,100157544,258168660,86194903,100022208,86058968,86058969,86058956,72460666,255546348,48340428,268434488,257046608,74021517,84341213,70782533,70782532,84341211,98248365,112226502,126082254,139452941,152176904,156157439,153963864,153963863,259485088,127930734,114049622,258238224,112226499,112226498,102364245,88367237,74738256,61943675,61943676,74738259,88367243,102364253,101592812,101592811,115633341,129518520,116457571,116457570,271878905,143623117,259485086,141292010,260100380,133452309,133452308,142835604,261123326,271384574,125414301,111615467,111615466,125414299,260544518,98288669,84379537,70820881,58104157,58104156,70820880,259278975,107647928,122022409,135949966,141143776,127787049,258617866,99894173,113912613,127787047,127787076,113912625,102106802,88120005,85939232,72345588,72345589,61727462,50248978,40229138,40229139,50248981,61727466,74508616,88120011,257564410,74711731,88339623,88125919,259244340,102113690,102113691,99894171,99894172,99894184,85939139,257993854,48224727,38314905,38314904,46979092,37095750,37095752,46979096,256267886,84628074,98552022,112546003,114050334,100022967,86059759,72461522,59725804,59725805,72461524,86059761,98552037,85570160,71983085,71983086,85570162,99516860,258238272,260100412,114385831,114385832,127931429,141292718,260697594,140753446,153433702,141292716,127931428,114050327,114050326,114385842,272204067,113527995,259244342,113527994,113528019,113528018,114385830,128261982,261211001,128261992,128261991,140753447,141612352,128261988,114385840,100362445,100362446,101593389,100362449,86406067,72810912,60073582,48677487,48677481,48677482,60073577,72810906,60073584,60073583,71983106,59245937,47849383,47849382,59245934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9789211, s2 = 11231547, dlinesl.size( ) = 2 s1 = 9789211, s2 = 11231547, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9789211, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 16252757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16252757, s2 = 7255554, int(edited[s2]) = 0 s1 = 16252757, s2 = 7255554, d1 = 21, d2 = 18 Dl.O(d1) = 217439805,264619379,203774620,197210521,263706541,262916181,159127342,146752894,133496618,119624824,105388339,91166142,77247694,64101112,52252544,41914635,32974759,25252077,18681272,254910487,267858413 Dl.O(d2) = 52252545,64101113,77247696,91166144,105388340,119624826,133496619,146752896,159127343,170470441,180609100,189514944,197210522,203774621,264619381,217439808,220518037,265285503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16252757, s2 = 7255554, dlinesl.size( ) = 2 s1 = 16252757, s2 = 7255554, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16252757, Dl.E( ) = 22, 1.12e-05 seconds used appending s1 = 15859915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049916, s2 = 9468731, int(edited[s2]) = 0 s1 = 11049916, s2 = 9468731, d1 = 3, d2 = 1 Dl.O(d1) = 256128725 Dl.O(d2) = 255664675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049916, s2 = 9468731, dlinesl.size( ) = 2 s1 = 11049916, s2 = 9468731, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11049916, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 7900805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16240536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14102057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7896029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7896029, s2 = 7495218, int(edited[s2]) = 0 s1 = 7896029, s2 = 7495218, d1 = 61, d2 = 36 Dl.O(d1) = 1952427,3318847,5397262,8361911,11587990,11587994,13614277,13614280,15507427,21518516,25732647,28373682,21156520,15200923,254866738,8504162,5504512,5504511,6099354,9311080,6118858,6118860,3837971,3837974,2384497,1380238,1380239,2384504,3978933,6342054,9645908,13655733,9351071,9351070,11400144,7575053,4791049,2887955,2887956,4791055,7575069,11400181,9319789,9319526,9319527,9271466,6104955,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760137,1331188,1481019,1481017,2572308,4302286,3825738,3825736,6113656,6113655,9333568,13630749,19006621,13564980,9287576,6084154,6084155,9287582,12207495,17332699,13655356,13655357,17670814,13616682,9323821,6107482,3821422,2289521,1328380,1328382,2289533,3821446,6107532,9323909,13616810,19036696,13588638,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,9171567,13413953,9171521,9171523,13413958,18827203,19035659,25654514,25708365,25708364,19114505,19006558,13564944,13564943,19006556,256141441 Dl.O(d2) = 267214346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7896029, s2 = 7495218, dlinesl.size( ) = 2 s1 = 7896029, s2 = 7495218, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7896029, Dl.E( ) = 64, 4.48e-05 seconds used appending s1 = 9802639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13304779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104885, s2 = 1673825, int(edited[s2]) = 0 s1 = 14104885, s2 = 1673825, d1 = 27, d2 = 18 Dl.O(d1) = 262038227,272691180,144492688,131258277,118308724,104154054,90028573,90028575,104154058,117449786,103314173,89218822,75466057,62542874,50938771,50938770,62542873,75466055,259208668,80944570,80944571,86389430,86389431,100346512,109263207,261545913,112306928,260251068,84414436,258380158,21178888,28399246,23053420,16807365,11753089,7847495,4981458,3009234,1748010,993975,559620,313351,313349,559614,254248717,4981253,7847123,11752500,16806556,23052495,256154494,268502620,33474427,33474429,33468426,25695535,25695534,19147231,19147232,255281033,13672305,13627329,13432335,254491130,3759540,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,2297375,1333015,761272,433053,433051,761263,1332994,2297344,3834597,6128921,6128981,3836738,2298559,2298560,3836742,6079739,3804224,3804227,3810461,6090134,9296925,6132721,3836798,2298590,2298589,2298615,1333717,761675,433310,433311,761679,1333726,2298633,3836878,6132753,9362686,13672088,19147489,25792386,25640534,25301297,18726683,13331236,13331234,13615356,13615355,19071573,13672290,9362811,9362810,13663195,13663196,19086964,13668445,13668447,9362867,9362868,13663202,13672228,13672226,9365740,9365738,13676329,13556856,13556857,14328705,9843087,9843086,13671999,9362610,6132709,3836791,3835655,3835656,3836773,6132677,3836776,3836777,6132686,9362568,13671949,13672020,13672019,19147397,13672111,9362702,9362701,13663089,13663446,9356848,9356849,13663449,19135288,13668802,13668801,19143344,19147736,19147735,21858419,21858420,29167610,25787854,19143057,19143056,13672214,13672213,19147643,21414989,25798645,25798644,33594994,42612199,42612201,42612087,33588098,255686775,13671931,13671930,19147285,25775437,19135006,19135005,25775435,25792544,33588225,25792687,25792686,33588385,42612349,33588463,33588462,42612082,33588090,33588091,34675790,268398258,42612566,33588592,33588593,42612098,256152865,25639810,25639809,22137828,16021116,16021115,22137825,19135272,19135273,25775752,33565278,29474379,22137782,22137783,16021336,16021335,22138163,29474825,29474373,22137776,19023025,19023026,25639827,22138231,22138230,29331574,22000908,22000909,16021431,11123992,7378320,4661289,2808223,1629127,926358,522140,522139,926352,1629113,2808194,4661226,7378213,11123831,16021163,22137889,22137938,22137880,16021154,16021157,22137884,29474245,29474244,38037138,38037554,29474780,29474465,22137859,22137860,29474468,38037286,46813643,36935357,29474498,256381452,16020997,11123724,7378148,7378143,7378144,11123719,16020988,11123761,7378169,7378168,11123757,16021037,22137715,22137761,22137760,22137764,22137878,29474487,33568786,25778809,19137709,19137708,25778807,33568782,42585631,38037220,29474369,25778218,25778217,28436383,21211703,15244613,10516835,10516838,15244621,21211717,28436405,36935387,256886076,42377324,46813627,46813663,36935393,36935394,42583860,33566637,25776876,19136241,13664244,13664245,19136246,25776885,24092028,24092027,19137717,13665335,13665334,19137713,25778818,28436398,28436399,36935379,36474390,29474215,22137613,22137612,25778791,25778793,33568765,29474326,29474325,29474814,38037581,47950914,42583869,36935418,28436434,28436433,36935356,46813635,36935352,268914063,42585572,33568690,25778705,19137587,13665210,13665209,19137585,256152117,36935365,28436389,28436390,36935368,38037193,38037192,33388664,25622999,25622998,29474807,33388657,33388658,42377321,52776213,64690254,64690257,52776218,42377325,42377326,33568946,25778923,25778922,33568944,42585188,33568234,25778239,19137219,19137220,25778242,33568238,42461672,256152137,25596223,25596222,33356805,33356808,42337972,33567719,25777707,25777706,25777667,19137039,19137041,25778030,26658831,25776466,19135950,18986296,18986294,19135815,19135816,19135858,19135859,19844691,19137224,19137223,19135874,13663992,13663993,11904375,7962026,7962025,11904370,16989793,23252847,19136731,13664522,9357578,9357577,13664516,19136722,25777622,30823168,30823169,33568561,25778727,19137626,13665248,13665249,14217281,9774125,9774124,13665199,9358063,9358062,6129883,3835138,3835137,6129881,9356710,6128907,6128908,8067116,8067118,12009794,9774107,9774108,9357865,9357866,9358123,6129782,3835075,2297600,2297602,3835080,6129795,3835126,2297621,1333145,761341,433090,244633,244634,433091,761343,1333150,2297632,3834784,3834782,6129230,9357221,255685959,11492023,11492022,14217391,14217390,19844851,19137651,255686157,19137650,19135672,13663821,9357135,9357138,6129664,3835005,2297575,2297576,3835009,6129668,6426591,6426592,9774102,9358237,9358238,9358224,6129850,3835116,3835117,6129854,6129866,6129865,3835144,3835143,6129888,6129894,6129900,6129467,6129465,6129717,3835042,3835041,2297607,2297606,3835088,6129807,268029991,19137261,19136899,13664628,9357638,9357639,11492029,7643359,7643358,11492025,16494186,255930535,23334017,19136836,255316351,14217251,19844712,26658821,34650120,32975487,25252730,25252723,18681887,13663938,9357212,9357213,13663941,19135823,19137848,13665421,13665083,9357958,6129691,3835026,3835015,3835014,6129674,9357918,13665024,19137363,25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,26121244,26121243,33429475,33429478,41709167,41709166,52019687,52893765,42487328,33491169,25715726,25715727,33491175,42487268,33491125,25715697,19087200,19087199,25715691,33491101,33491399,25715886,19087316,19087315,25715883,33491390,255682542,58035769,58035758,46663030 Dl.O(d2) = 91537636,77607807,77607806,77607810,77888099,64698962,61977817,50485568,40449249,31754245,24242472,24242473,31754251,40449257,40210580,40210578,44794162,44794163,55701654,61711721,61711743,72082257,59348938,59348937,72082254,85668506,73584748,72480695,72082327,59349002,59349001,55325725,44479621,44479623,47958153,47958154,47958130,47958128,59348896,72082217,77607919,64677786,52762802,52762800,64677767,61264771,53055626,52563658,42203520,42203521,52563664,64438933,64698972,52785174,52785172,61977800,50485554,40449239,40449241,50485559,61977806,61711733,55701669,44794177,35369545,35369544,44794174,40210584,40210585,50231563,55701646,55701645,55325696,49433168,39502014,39502013,49433163,52812593,52812595,64727853,60835144,49433224,39502046,39502045,38045041,38045042,47958149,59348934,64677807,52762814,42363295,33374436,33374438,42363300,52563677,42203531,33242315,33242314,42203527,52563671,59598602,48211318,48211317,59598597,72333848,61402670,49922960,39903265,39903263,33397247,25631233,25631231,33397241,42386042,52785185,50231555,50231554,42386116,42386117,39502031,30894670,23461688,23461687,30894666,39502025,49433193,49433136,49433135,49433237,39502053,30894681,30894682,39502057,47958136,59348917,52762795,52762793,55701633,55701632,64677796,77607854,64438979,52563701,42203542,33242321,33242320,42203538,52563693,64438968,65038426,64438960,64438959,77607836,64698994,64698993,59745844,48362468,38460842,29903862,29903861,38460838,48362460,52785289,42386110,33397276,33397275,42386105,42386130,42386129,49433208,60835099,49433184,49433185,49433145,39502003,30894659,30894660,39502007,49433154,60835042,59348910,59348909,59745832,52564157,52564139,52564141,52564177,64439452,64439466,72473838,59738643,48355064,48355065,52563682,60835047,73584689,77608107,77608109,77607827,77607826,86078415,72480641,59745746,59745747,48582702,38940343,38940344,48859851,48859959,48859962,60252799,64699079,77888153,64699066,52785301,42386124,42386125,52785306,64699100,72480723,72988242,60835018,60835019,60252736,52564421,52564420,60835033,64699007,64439442,52564171,42203863,33242513,25492417,25492418,33242519,42203873,52564188,64439474,64438900,64438902,52563756,42203580,42203581,52563758,64439030,77607876,72988234,60252721,60252719,60835135,60835136,52785216,42386060,42386059,52564150,64439426,64439343,64439344,52785227,42386069,33397255,33397254,42386065,52564037,64439229,257202770,33242460,25492383,25492384,30354170,22952334,16715518,16715519,22952336,30354175,38940407,48859952,53060328,42612605,33588629,25792923,25792922,33588625,42612596,52564065,42203790,42203791,38940378,38940379,48859922,52563615,42203494,42203495,52563619,52564135,52564133,64439121,64439122,64438870,52563605,42203482,33242726,25492529,18888065,13460182,9204788,6026351,3770100,2258922,2258921,3770098,6026343,9204774,13460145,13460117,13460119,18887935,25492265,33242251,257202709,64438760,258408337,64438908,52563976,42203731,42203729,52288428,257772591,71216525,64439835,64439836,77608339,77607701,257772586,64438727,64438728,64140479,64140426,64140425,269828706,258428233,91929338,106121608,92992031,92992032,92992029,78880438,78880439,92992030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104885, s2 = 1673825, dlinesl.size( ) = 2 s1 = 14104885, s2 = 1673825, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14104885, Dl.E( ) = 28, 3.5e-05 seconds used appending s1 = 7857530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7857530, s2 = 11796557, int(edited[s2]) = 0 s1 = 7857530, s2 = 11796557, d1 = 19, d2 = 20 Dl.O(d1) = 42166178,33205997,25458556,18859043,13436784,9186692,9186693,13436786,16089284,22221890,29568337,38134529,48048022,256461224,32534435,255261288,32031596,254921410,15871267,15871266,21965444,18090218,12825094,12825095,15413921,15361241,15361240,21334470,15361229,10612933,7003159,4401654,4401653,7003156,10612927,12727553,8648329,8648330,6224780,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864 Dl.O(d2) = 237624,131195,71192,71193,131197,267742659,740834,1298063,2238409,2238063,2238062,3738178,5977697,9134713,11000860,255065982,8966275,8966276,13154610,18514414,19203077,13715339,13715340,268080469,11002578,13368210,9404743,6161666,6161665,9404741,254939284,12816286,8713935,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966187,12855613,8970333,5856009,3655482,2186468,1268437,1268434,2186456,3655460,3530199,3530201,5675935,6292472,3941232,3941228,6292463,5623387,3493713,2075631,1192622,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,8705864,12803873,9914969,6515896,6515895,9455771,9455770,9455776,6199710,6199711,8665697,12750334,17956071,19202763,19288930,19288355,19288354,22983863,19784034,19784035,26147732,19449751,19449750,255690024,18025597,18025598,16746270,16746269,20106991,20107635,14418000,9920477,6520074,4085274,2444171,1413235,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412689,2443022,4083058,6516444,9915777,14417267,20107058,26997795,20107064,20107065,26997798,35082548,35082551,35082552,44457447,44457443,35082549,35082550,44457444,55302002,67640308,81106371,95165031,99061379,85137238,74680786,61887617,61887616,269349408,94376511,84096008,70559795,57858218,46502044,256286825,10391965,15068650,20980717,28160282,36634946,46502049,57858225,57986860,57986861,57986867,52675500,42289242,42289243,52675502,64575623,273237967,178073122,263114654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7857530, s2 = 11796557, dlinesl.size( ) = 20 s1 = 581325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9764319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9850621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 543483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7571301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 545199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 380315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 380315, s2 = 748605, int(edited[s2]) = 0 s1 = 380315, s2 = 748605, d1 = 2, d2 = 5 Dl.O(d1) = 9562210 Dl.O(d2) = 19053709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 380315, s2 = 748605, dlinesl.size( ) = 2 s1 = 380315, s2 = 748605, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 380315, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7880760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9793677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7955287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6847422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 555058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7989509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7989509, s2 = 10348637, int(edited[s2]) = 0 s1 = 7989509, s2 = 10348637, d1 = 73, d2 = 53 Dl.O(d1) = 39724,39719,73379,134945,133877,133875,242071,428886,754826,1322898,256141929,255635066,267748414,254081862,417301,417185,235676,235680,417262,733357,1283525,1281686,1281685,1737227,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,9127558,13356017,18756899,25336487,28602088,254197264,15574898,18756531,13355662,13275266,9060044,5923758,5923759,254712105,10333384,255246355,25236254,20912613,256278715,255318140,17695216,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,11766870,7856071,4986189,3011685,3011686,4986192,7856082,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,10997022,10997020,11717916,8998295,5874680,3668136,2195753,1275649,729733,729738,1275661,2195772,1722013,1722011,2968211,4922115,7768620,11657199,11869777,13199956,18575027,21086503,15146490,10446192,6886310,6886311,10446194,15146494,19061151,25684668,21963379,15869630,10999093,10999091,255876271 Dl.O(d2) = 257545912,23625120,23625239,254364326,8216350,5286464,3238506,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,12027761,8086172,8086170,12027757,17115812,17821363,24190171,30285407,26790537,25339156,25339155,269496267 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9496323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9496323, s2 = 9147444, int(edited[s2]) = 0 s1 = 9496323, s2 = 9147444, d1 = 22, d2 = 27 Dl.O(d1) = 89743928,103848419,117994039,261069960,126769866,112916832,98928796,85003822,71430731,71430730,85003821,85003826,85003827,260541155,136856544,123025346,108756104,271640549,94462585,80402791,80402792,80402787,66972351,269332440,34694126,26699490,255439960,19873606,14238847,9788219,6435039,4036760,4036761,6435041,9788223,11106622,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,3668842,3668838,5875924,5875918,5875922,9000188,9786319,14235932,19869589,24692197,24692199,21483875,15480079,10704751,7072219,7072221,10704755,8793325,8793324,12926103,18223963,254893209,8793808,8793806,8793805,254893211,18225216,18225218,12926873,8793802,5728038,3566390,2125599,1226251,693551,267758237 Dl.O(d2) = 100265077,114295169,128178207,260602704,260318540,259073778,86302928,86302929,100265076,260628973,260208337,131822255,131822253,128178206,128178205,141535869,272406368,154198868,165957823,262010542,157516453,145081637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9496323, s2 = 9147444, dlinesl.size( ) = 2 s1 = 9496323, s2 = 9147444, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9496323, Dl.E( ) = 28, 1.41e-05 seconds used appending s1 = 14301395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13299967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13299967, s2 = 11658073, int(edited[s2]) = 0 s1 = 13299967, s2 = 11658073, d1 = 1, d2 = 1 Dl.O(d1) = 8252990,5324021,3272241,1924558,1924556,267771641,1099582,617139,343035,188170,102768,56531,56510,56511,102735,188113,342940,616978,1099290,1099422,1924150,1099312,616998,616999,1099314,1924155,254183777,616965,254089167,188108,342934,616964,1099260,1924071,3271548,5323118,5324588,5324583,3272658,3272659,5324333,8253342,8253781,5324609,5324610,8253784,8253777,8253775,12224854,12224724,8253701,8253700,8253522,5324454,5324455,8253520,8251626,5323070,3271523,3271525,5323073,5323077,3271528,254397753,8251634,12221883,17349521,17353212,12224639,8253644,8253645,12224640,15693208,15693207,21744276,27955096,23672478,17353192,12224626,8253637,5324528,254587005,254841271,12224828,12224829,17353078,17353271,267995669,8253676,12224683,8254211,8254212,12225474,15053431,19689161,19689160,22661535,22661534,30036930,24245465,17869023,12653998,8591355,5582418,5582419,3463628,3463627,3272646,3272645,5324565,5810403,5810401,8904218,13067155,18397037,22655551,19164962,19164963,25813922,33613204,39837246,31162698,23674150,17354575,17354576,17348649,12221235,12221234,17348647,14116804,14116803,19689211,26426697,29547829,29547828,25526567,23666661,17348675,17348674,23666658,23672702,23672704,17354582,255486338,17353359,12224749,12224744,17353351,17354562,13454362,9200940,9200941,13454365,17354798,12225781,8254419,8254326,5324967,5324969,4991813,3015645,1752112,1752113,3015647,4991817,7864329,11778750,16842950,23099002,30514759,29655744,22304083,254353424,11226353,16158286,22304035,22304034,29655694,22304087,22304085,29655749,23112508,23112507,257007733,49036824,49041607,39111897,30514737,23098992,23098993,25446275,18849171,17140791,12046375,12046374,17140786,21542706,26916961,20032517,20032518,26916786,20032359,14349277,9859165,6476399,4058468,4058469,4058462,2429143,2429144,2429182,1405186,799662,453240,453239,799657,1405177,2429168,4058522,4058552,6476549,9859456,14349624,14349623,20032848,20032858,20032857,20032647,14349572,9859372,6476510,6476509,9859368,14349562,20032635,14349455,9859286,6476468,6476467,9859283,14349448,20032563,20032668,20032667,20032300,14349232,14349233,20032302,14349730,14349731,20032995,20033141,14349824,14349224,9859142,6476382,6476381,9859138,9859336,6476529,4058537,4058536,4058563,6476565,6476492,6476491,9859324,14349505,20032696,26917157,26916776,20032354,20032353,14349430,14349429,20032604,14349544,9859352,6476502,6476504,9859355,14349546,14349467,9859294,6476472,4058507,2429161,2429162,4058511,6476479,9859303,14349482,20032675,20032608,14349432,14349433,14349499,9859316,9859314,14349495,20032688,20032321,14349245,14349246,20032319,20032345,14349650,9859417,9859418,9859477,9859478,14349750,20033022,26917491,26917262,20032798,14349583,14349581,20032792,14349757,14349758,20033039,20032311,14349238,14349239,19823235,19823234,19823226,19823225,19823244,19823243,20032643,20032642,25258046,18686681,18686683,25258031,25258030,25904985,20032282,14349219,9859126,6476378,6476379,9859131,14349221,20032287,20032616,14349437,14349438,20032621,26917086,20032940,20032937,20032876,14349641,14349642,14349745,14349744,17926186,12701478,12701477,17926179,24311154,26917202,26917203,34998524,26917505,26917504,26917513,33711346,25904973,19244045,13749865,9421236,9421237,13749867,19244050,25904979,33711355,34998597,39058344,30467853,30467854,32981188,25258036,18686678,13293415,268140105,25258035,26916688,26916689,30515373,30515374,30515410,23099535,255131621,11779094,268240031,30515417,30515476,23099595,254810552,26917471,23099633,16843413,11779134,11779133,16843411,23099632,30515529,39112783,44377228,39112926,39112927,49042604,49042436,256462007,30515703,39112641,39112642,30515550,30515549,267991622,19200930,25858260,33664466,42695216,256490166,30515431,23099555,23099557,16843369,268240035,30515458,38194148,38194147,39112662,39112661,39112718,49042451,39112767,39112766,49042440,60446217,60446216,257060774,60446194,49042468,39112744,39112643,30515385,30515386,30515380,23099510,23099508,30515379,30515445,33226651,30515698,23099754,23099753,30515696,30515518,23099620,16843403,11779128,11779129,16843400,16843324,16843325,16843420,23099647,30515520,23099641,16843418,16843416,23099638,30515539,39112789,44376764,39112676,30515421,23099544,23099545,30515423,30515469,25448226,18850746,18850745,14349634,9859410,6476524,4058532,4058533,6476526,9859412,14349637,20032868,256212793,14349405,9859261,9859265,14349414,20032573,19814363,19814361,20032516,20032515,254970027,9859421,6476529,4058537,4058536,4058563,6476565,6476492,6476491,9859324,14349505,20032696,26917157,26916776,20032354,20032353,14349430,14349429,20032604,14349544,9859352,6476502,6476504,9859355,14349546,14349467,9859294,6476472,4058507,2429161,2429162,4058511,6476479,9859303,14349482,20032675,20032608,14349432,14349433,14349499,9859316,9859314,14349495,20032688,20032321,14349245,14349246,20032319,20032345,14349650,9859417,9859418,9859477,9859478,14349750,20033022,26917491,26917262,20032798,14349583,14349581,20032792,20033035,26917508,33711346,25904973,19244045,13749865,9421236,6173002,6173003,9421241,13749874,14349524,9859332,9859330,14349515,20032711,18686692,13293420,9075549,9075548,13293419,18686689,25258058,26917649,256212891,43896424,44376868,34998485,26917050,255322699,9859267,254969995,255738277,34998478,44376859,34998507,256738083,257903533,81039579,270657653,258523899,55227624,44376879,34998493,26917054,20032584,14349418,14349419,20032586,26917059,34998503,34998482,26917048,26917049,256212857,26917399,34998805,34998495,26917055,26917056,34998498,44376885,55227620,55227619,55227621,67570694,67570681,55227600,257903527,55227599,257903529,44376886,44376887,55227632,258523901,67570687,67570683,55227601,55227602,55227628,55227627,67570699,67570698,55227626,55227625,55227639,55227640,55227617,44376877,34998490,34998491,34998486,26917051,26917052,34998489,44376874,55227612,44376896,44376895,44377193,44377195,55227877,55682202,44773466,44773465,257930701,44773467,44773468,55682206,68080805,68080835,68080834,257930705,55682195,44773462,35348345,27225300,20296777,20296776,27225299,35348344,44773461,55682193,50461224,257562338,39112030,39112029,44376872,44376871,55227609,46212144,36381740,27937420,27937419,255759531,14565224,14565223,20296779,27225305,35348353,44773475,55682214,55682226,44773487,268596123,20784161,20784160,27937428,36381753,258614753,258614749,70194699,70194692,57527507,46212148,36381742,36381741,46212145,57527503,70194689,63738070,63738069,76841623,76841634,63738095,51928765,41625980,32719870,32719869,41625978,51928761,63738091,63738057,63738058,76841617,63738075,63738074,63738100,76841639,256653618,74368294,64599382,63738088,51928758,41625975,41625976,257167797,256099691,25033231,32719867,41625973,51928752,63738086,257167799,41625981,51928745,269972127,50111783,50111782,61591811,63738065,61591797,50111773,40091236,31411435,31411436,40091238,255672494,41625968,257756485,51928750,51928749,63738082,63738085,61591804,50111778,40091239,40091240,269400623,74368285,87970289,256653614,63738064,74368280,74368279,65085603,65085602,74368286,87970291,257209726,74368290,61591806,61591805,74368288,76841619,90712009,76841630,258416572,101942713,87970280,87970281,101942714,115986958,115986967,258416578,104881775,115986968,106709927,104881771,90712013,76841626,76841627,90712016,104881776,119067346,119644484,127697473,113827978,99812894,270322715,59533949,59533948,258754333,99812888,113827968,106817329,92505436,78465609,78465610,91185831,77266501,64119426,64119427,77266503,91185834,105407775,119644490,133517316,146774712,159150288,164420715,152562151,152562152,164420717,175204776,180630515,180630516,184775179,184775177,175204758,175204759,184775178,180630525,180630524,189534014,180630523,180630522,189534012,197227019,197550234,197550231,193740161,185472309,175998130,165303274,165303275,175998123,165303269,165303270,175998125,175998127,175998126,175998142,170902844,159575786,147217330,133995471,261450349,262037340,153508456,153508455,153508461,140828213,127468469,113592917,105942666,91735459,77807794,64625327,64625326,77807792,85626437,72038177,59301932,59301933,72038179,85626428,99576686,113592901,113476365,99465681,99465680,99465679,99465678,113476363,127346118,137277984,127346114,127346115,137277978,123545513,109353139,95098345,95098346,269504762,113592899,259034032,113592931 Dl.O(d2) = 8252990,5324021,3272241,1924558,1924556,267771641,1099582,617139,343035,188170,102768,56531,56510,56511,102735,188113,342940,616978,1099290,1099422,1924150,1099312,616998,616999,1099314,1924155,254183777,616965,254089167,188108,342934,616964,1099260,1924071,3271548,5323118,5324588,5324583,3272658,3272659,5324333,8253342,8253781,5324609,5324610,8253784,8253777,8253775,12224854,12224724,8253701,8253700,8253522,5324454,5324455,8253520,8251626,5323070,3271523,3271525,5323073,5323077,3271528,254397753,8251634,12221883,17349521,17353212,12224639,8253644,8253645,12224640,15693208,15693207,21744276,27955096,23672478,17353192,12224626,8253637,5324528,254587005,254841271,12224828,12224829,17353078,17353271,267995669,8253676,12224683,8254211,8254212,12225474,15053431,19689161,19689160,22661535,22661534,30036930,24245465,17869023,12653998,8591355,5582418,5582419,3463628,3463627,3272646,3272645,5324565,5810403,5810401,8904218,13067155,18397037,22655551,19164962,19164963,25813922,33613204,39837246,31162698,23674150,17354575,17354576,17348649,12221235,12221234,17348647,14116804,14116803,19689211,26426697,29547829,29547828,25526567,23666661,17348675,17348674,23666658,23672702,23672704,17354582,255486338,17353359,12224749,12224744,17353351,17354562,13454362,9200940,9200941,13454365,17354798,12225781,8254419,8254326,5324967,5324969,4991813,3015645,1752112,1752113,3015647,4991817,7864329,11778750,16842950,23099002,30514759,29655744,22304083,254353424,11226353,16158286,22304035,22304034,29655694,22304087,22304085,29655749,23112508,23112507,257007733,49036824,49041607,39111897,30514737,23098992,23098993,25446275,18849171,17140791,12046375,12046374,17140786,21542706,26916961,20032517,20032518,26916786,20032359,14349277,9859165,6476399,4058468,4058469,4058462,2429143,2429144,2429182,1405186,799662,453240,453239,799657,1405177,2429168,4058522,4058552,6476549,9859456,14349624,14349623,20032848,20032858,20032857,20032647,14349572,9859372,6476510,6476509,9859368,14349562,20032635,14349455,9859286,6476468,6476467,9859283,14349448,20032563,20032668,20032667,20032300,14349232,14349233,20032302,14349730,14349731,20032995,20033141,14349824,14349224,9859142,6476382,6476381,9859138,9859336,6476529,4058537,4058536,4058563,6476565,6476492,6476491,9859324,14349505,20032696,26917157,26916776,20032354,20032353,14349430,14349429,20032604,14349544,9859352,6476502,6476504,9859355,14349546,14349467,9859294,6476472,4058507,2429161,2429162,4058511,6476479,9859303,14349482,20032675,20032608,14349432,14349433,14349499,9859316,9859314,14349495,20032688,20032321,14349245,14349246,20032319,20032345,14349650,9859417,9859418,9859477,9859478,14349750,20033022,26917491,26917262,20032798,14349583,14349581,20032792,14349757,14349758,20033039,20032311,14349238,14349239,19823235,19823234,19823226,19823225,19823244,19823243,20032643,20032642,25258046,18686681,18686683,25258031,25258030,25904985,20032282,14349219,9859126,6476378,6476379,9859131,14349221,20032287,20032616,14349437,14349438,20032621,26917086,20032940,20032937,20032876,14349641,14349642,14349745,14349744,17926186,12701478,12701477,17926179,24311154,26917202,26917203,34998524,26917505,26917504,26917513,33711346,25904973,19244045,13749865,9421236,9421237,13749867,19244050,25904979,33711355,34998597,39058344,30467853,30467854,32981188,25258036,18686678,13293415,268140105,25258035,26916688,26916689,30515373,30515374,30515410,23099535,255131621,11779094,268240031,30515417,30515476,23099595,254810552,26917471,23099633,16843413,11779134,11779133,16843411,23099632,30515529,39112783,44377228,39112926,39112927,49042604,49042436,256462007,30515703,39112641,39112642,30515550,30515549,267991622,19200930,25858260,33664466,42695216,256490166,30515431,23099555,23099557,16843369,268240035,30515458,38194148,38194147,39112662,39112661,39112718,49042451,39112767,39112766,49042440,60446217,60446216,257060774,60446194,49042468,39112744,39112643,30515385,30515386,30515380,23099510,23099508,30515379,30515445,33226651,30515698,23099754,23099753,30515696,30515518,23099620,16843403,11779128,11779129,16843400,16843324,16843325,16843420,23099647,30515520,23099641,16843418,16843416,23099638,30515539,39112789,44376764,39112676,30515421,23099544,23099545,30515423,30515469,25448226,18850746,18850745,14349634,9859410,6476524,4058532,4058533,6476526,9859412,14349637,20032868,256212793,14349405,9859261,9859265,14349414,20032573,19814363,19814361,20032516,20032515,254970027,9859421,6476529,4058537,4058536,4058563,6476565,6476492,6476491,9859324,14349505,20032696,26917157,26916776,20032354,20032353,14349430,14349429,20032604,14349544,9859352,6476502,6476504,9859355,14349546,14349467,9859294,6476472,4058507,2429161,2429162,4058511,6476479,9859303,14349482,20032675,20032608,14349432,14349433,14349499,9859316,9859314,14349495,20032688,20032321,14349245,14349246,20032319,20032345,14349650,9859417,9859418,9859477,9859478,14349750,20033022,26917491,26917262,20032798,14349583,14349581,20032792,20033035,26917508,33711346,25904973,19244045,13749865,9421236,6173002,6173003,9421241,13749874,14349524,9859332,9859330,14349515,20032711,18686692,13293420,9075549,9075548,13293419,18686689,25258058,26917649,256212891,43896424,44376868,34998485,26917050,255322699,9859267,254969995,255738277,34998478,44376859,34998507,256738083,257903533,81039579,270657653,258523899,55227624,44376879,34998493,26917054,20032584,14349418,14349419,20032586,26917059,34998503,34998482,26917048,26917049,256212857,26917399,34998805,34998495,26917055,26917056,34998498,44376885,55227620,55227619,55227621,67570694,67570681,55227600,257903527,55227599,257903529,44376886,44376887,55227632,258523901,67570687,67570683,55227601,55227602,55227628,55227627,67570699,67570698,55227626,55227625,55227639,55227640,55227617,44376877,34998490,34998491,34998486,26917051,26917052,34998489,44376874,55227612,44376896,44376895,44377193,44377195,55227877,55682202,44773466,44773465,257930701,44773467,44773468,55682206,68080805,68080835,68080834,257930705,55682195,44773462,35348345,27225300,20296777,20296776,27225299,35348344,44773461,55682193,50461224,257562338,39112030,39112029,44376872,44376871,55227609,46212144,36381740,27937420,27937419,255759531,14565224,14565223,20296779,27225305,35348353,44773475,55682214,55682226,44773487,268596123,20784161,20784160,27937428,36381753,258614753,258614749,70194699,70194692,57527507,46212148,36381742,36381741,46212145,57527503,70194689,63738070,63738069,76841623,76841634,63738095,51928765,41625980,32719870,32719869,41625978,51928761,63738091,63738057,63738058,76841617,63738075,63738074,63738100,76841639,256653618,74368294,64599382,63738088,51928758,41625975,41625976,257167797,256099691,25033231,32719867,41625973,51928752,63738086,257167799,41625981,51928745,269972127,50111783,50111782,61591811,63738065,61591797,50111773,40091236,31411435,31411436,40091238,255672494,41625968,257756485,51928750,51928749,63738082,63738085,61591804,50111778,40091239,40091240,269400623,74368285,87970289,256653614,63738064,74368280,74368279,65085603,65085602,74368286,87970291,257209726,74368290,61591806,61591805,74368288,76841619,90712009,76841630,258416572,101942713,87970280,87970281,101942714,115986958,115986967,258416578,104881775,115986968,106709927,104881771,90712013,76841626,76841627,90712016,104881776,119067346,119644484,127697473,113827978,99812894,270322715,59533949,59533948,258754333,99812888,113827968,106817329,92505436,78465609,78465610,91185831,77266501,64119426,64119427,77266503,91185834,105407775,119644490,133517316,146774712,159150288,164420715,152562151,152562152,164420717,175204776,180630515,180630516,184775179,184775177,175204758,175204759,184775178,180630525,180630524,189534014,180630523,180630522,189534012,197227019,197550234,197550231,193740161,185472309,175998130,165303274,165303275,175998123,165303269,165303270,175998125,175998127,175998126,175998142,170902844,159575786,147217330,133995471,261450349,262037340,153508456,153508455,153508461,140828213,127468469,113592917,105942666,91735459,77807794,64625327,64625326,77807792,85626437,72038177,59301932,59301933,72038179,85626428,99576686,113592901,113476365,99465681,99465680,99465679,99465678,113476363,127346118,137277984,127346114,127346115,137277978,123545513,109353139,95098345,95098346,269504762,113592899,259034032,113592931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13299967, s2 = 11658073, dlinesl.size( ) = 2 s1 = 13299967, s2 = 11658073, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13299967, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 8269994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8329924, s2 = 9695933, int(edited[s2]) = 0 s1 = 8329924, s2 = 9695933, d1 = 29, d2 = 1 Dl.O(d1) = 94356577,94356578,94356579,270832916,83628226,97511027,111464105,99528963,99528962,99528961,259637406,127410623,113540327,99528975,85582020,85582019,99528972,113540322,99771917 Dl.O(d2) = 45601099,56750742,49349670,39420124,30814925,23385739,23385740,30814927,39420128,257610247,60752573,60752571,60752572,56750743,56750744,60752588,73501543,69318775,56750740,56750741,69318776,82837706,69318782,56750747,45601101,35945149,35945148,39420122,49349666 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9751991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7920022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9797321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 562980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7849738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2328513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8058866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9345541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7840034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 401324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7950428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7950428, s2 = 6584658, int(edited[s2]) = 0 s1 = 7950428, s2 = 6584658, d1 = 10, d2 = 2 Dl.O(d1) = 268144373,25432805,33175721,29720188,22364026,16210431,11268494,11268495,9176657,6006183,3756263,254204189,254204187,254444057,3754843,2248681,1304450,1304451,1110399,623183,623182,1110398,1943611,3303373,3303374,2194875,1275037,812960,460822,460821,254154263,2192551,1273099,254112047,414084,727721,727720,795960,451094,451092,795952,1398616,2416092,2192524,2192525,1273327,727888,414171,233903,129009,69936,69938,129015,233725,413855,727364,748412,728141,414355,414356,728148,1273696,1411529,1411530,1395951,1273366,727908,414177,414176,727902,1272540,727387,727385,413890,233746,233744,413885,727412,727684,254201813,802906,802905,803115,803116,793976,449725,449724,793973,728424,728423,454900,454899,256355,141952,141953,256356,454914,744490,744489,1304709,1393439,792402,727064,413617,233563,128798,128796,233558,413609,233588,128813,69807,37719,20763,20764,37723,69817,128834,254093019,233958,233957,414261,728035,743357,741567,421456,237840,237841,414510,234140,234138,414504,447910,252005,254095107,727317,727318,267743179,254083577,139739,131622,131624,132763,240049,422361,449982,728403,414570,234179,234178,414564,254772,254771,413502,233485,233486,413503,450081,450082,794378,794702,794700,460614,259815,144151,79320,79321,72159,72158,39147,39149,72182,132731,130600,70782,70781,130597,236744,233055,129794,128323,128325,132599,72081,72080,39100,39099,43336,24053,23151,12881,12882,23157,41948,77064,140773,143976,79193,43332,24052,13430,7404,3950,2044,2045,3955,7411,13443,254071617,23142,23143,254070453,7493,7494,13578,254071655,23484,23485,42472,23462,13050,13049,23460,42467,24095,13452,267735069,43406,79301,79668,43649,43650,79671,77225,42039,23202,23201,42038,77222,78997,143743,258555,458461,808913,1421812,2459484,4111605,4123687,2466991,1426059,811213,459668,259204,143717,143718,259205,459670,811218,1426068,2467004,4123718,6581814,5990011,5990010,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,23750349,29382635,31233672,31233673,27211917,20283565,14553810,10014180,6581766,6581765,10014178 Dl.O(d2) = 20283566,20283567,256235881,268831398,42807482,33775140,33775142,42807488,49466616,49466615,59446440,48054854,48054855,59446445,71960138,62838194,51188011,51188010,62838191,75802393,84934743,71357752,62838215,51188029,51188030,62838185,62838186,62838224,58300289,46934252,42474822,42474821,52878629,51188025,41031455,257135913,62838203,73620361,60869915,60869916,73620268,78458392,71015575,65175154,59961348,59961347,72699324,60869906,60869905,65250061,65250062,75802432,62838253,62838254,72184567,72184559,71015569,58300714,46934581,37056070,37056071,46934584,46934547,46934545,58300667,48054860,39532725,30921881,30921882,39532727,46934279,42740615,42740614,53189951,65175148,75802401,71015937,71015936,60870009,49466685,39532766,39532767,49466688,49466539,39532678,39532679,49466541,60869810,73620276,73620274,256240494,49466647,49466590,39532705,39532704,49466589,60869887,73620294,87241880,85778673,85778672,87241906,73620329,73620330,87241909,87241874,73620287,256240496,84580097,81617064,81617065,268343866,84580092,71015625,71015624,58300396,51431611,41233509,32408635,32408637,41233512,51431618,256240544,61565226,50085088,40063619,255940360,8358099,5394755,5394756,8358104,12369236,15967152,15967153,22072179,268305644,268220309,11069754,11069755,15946827,15946829,22037079,22037080,254848566,15959051,11076047,7344353,7344352,11066930,7338063,4635188,4635189,7338049,11066922,15945609,22048798,29379281,37942498,39099520,39099522,49028361,49028368,49028358,49028357,60431970,73178828,86791306,86791311,73178840,60431981,60431980,73178838,85865217,259997619,85865215,72273815,72273816,67618844,65553297,258462345,72273818,81084531,67618859,55280960,44436838,35062789,26979478,26979477,35062785,34661270,34661271,31909540,24827092,18334346,13014869,8861255,5775995,3598675,3598676,5775996,8861256,13014872,15759289,18334300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7950428, s2 = 6584658, dlinesl.size( ) = 2 s1 = 7950428, s2 = 6584658, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7950428, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 14081393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14037975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6506634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6506672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8214026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 414331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8609146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9331626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10332795, s2 = 13524654, int(edited[s2]) = 0 s1 = 10332795, s2 = 13524654, d1 = 39, d2 = 22 Dl.O(d1) = 254566892,6807348,6807352,10340450,15010903,20916875,24974515,24974519,28090949,28046752,23666808,22134919,16018926,16018925,22134916,21397021,15411199,10652525,10652524,15411192,21397028,20916897,15010916,15010917,20916899,21396978,21396976,22844729,16621466,16621465,15010955,10340479,10340478,15010949,255792019,23666797,17348819,17348818,15397787,15397789,16621463,16018633,11122117,11122118,16018635,16716438,11674646,11674644,11674673,16018832,11122230,7377145,4660579,2807812,1628890,926231,926234,1628898,2807829,4660606,7377190,11122298,16018936,22134942,29470863,29430392,29430393,37127356,29470642,29470639,29430527,22098914,15989718,11100100,11100101,15989726,22098930,22134612,22844737,22844739,30237999,29470161,22134438,16018606,16018605,22134410,21379986,21379985,28616104,28616103,22953147,16716465,11674663,7783581,4933805,4933806,7783587,11674679,11122151,7377095,7377096,4660571,4660560,4660551,2807816,2807817,4660586,7377157,11122251,16018861,16018923,22134911,256383437,38032993,256383432,29430705,29430704,29470137,22953191,22953190,30355044,29470653,29470652,30354950,29470392,22134621,22134622,21080488,21080489,22134503,16018701,16018699,22134592,29470339,38033130,47946939 Dl.O(d2) = 59551999,59552000,59551984,48165351,38256007,29690712,22338166,22338165,29690709,38256000,42199464,52558862,64433688,77602614,64433695,52558866,52558865,64433693,77602621,77602052,77602051,91532809,105755863,91532812,91532813,77602606,64433681,64433682,52559018,257792691,42199461,33238799,33238800,42199166,52558405,42199600,42199599,52559012,52559013,258407915,59551977,59551978,72286077,85877981,72286076,59551975,258132563,77602485,259034935,259034949,64433645,257582674,33238784,25489380,18885607,13458328,9203430,6025475,6025474,9203428,13458323,18885603,25489374,33238774,42199428,257792687,259034941,101184585,258846339,73568673,87187265,101184588,109517577,100656736,100656735,95263760,81207791,67742854,55403577,55403578,67742858,81207798,95263766,109517584,123709147,114702089,100656722,99324730,85380506,81208223,81208224,95264235,100656733,86684187,73079955,60340020,48942899,48942900,258188715,86684190,81207785,72478854,257430986,74364460,74364459,86076898,100039861,100859733,86879357,86879358,86076997,72478952,256837114,70792943,67742863,67742862,81207806,84542387,84542386,98464437,86684167,73079924,73079925,86684170,100656724,114702092,261228659,141960107,128598950,114702098,258651094,258811994,72478978,59743730,48360003,48360004,59743683,59743682,72478949,86076995,73267473,60522489,60522490,73267477,72478859,59743623,48359889,48359888,48359881,38458112,29901368,256414387,48359885,59743617,59050371,59050370,71791626,59743685,48359932,38458143,38458145,48359935,59743689,72478950,59744023,48360411,48360410,257536989,48360412,59743720,48359997,48359975,48359974,59525348,59525347,48360474,38458763,38228215,38228216,48138363,38458080,38458082,48359857,59743587,59737108,48353633,38451803,38451804,38458687,38458686,38451964,38451965,48353829,39019825,39019824,48359936,48359937,38458205,29901453,22546052,22546051,29901451,38458202,48359984,48360396,39019812,30430466,30430465,38458681,29901884,22546427,16370642,268228417,29901886,38458683,39019790,38458077,38458076,38458195,29901441,22546043,16370347,16370349,16370779,16370780,22546583,29901401,29901400,29901457,22546062,255917343,30430660,23024858,23024859,23024659,16783216,11734816,11734817,16783218,16370645,16370646,22546431,29901892,29901901,29901902,23024653,23024654,30430443,23024632,23024633,22546422,22546421,29901332,29901333,38458058,29901315,22546472,16370683,254808083,3003765,1744392,1744394,3003770,4973194,7834697,11734830,16783235,16783468,23025006,30430696,39020035,256442374,29901638,255511751,16783206,23024651,23024687,16783240,16783239,23024685,30430486,39019840,39019774,30430421,23024606,16783152,11734767,11734768,16783155,23024610,30430427,39019782,48942867,60339982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10332795, s2 = 13524654, dlinesl.size( ) = 16 s1 = 7951308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681397, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 585729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11090656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14034358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14199493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11042226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9800395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8013851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9745601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7871342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7871342, s2 = 431342, int(edited[s2]) = 0 s1 = 7871342, s2 = 431342, d1 = 50, d2 = 45 Dl.O(d1) = 8074779,5169467,3151499,3151500,3151475,3151474,3138287,3103918,3103915,5111527,8022632,8081666,8061431,5153920,5153921,3158801,3158802,5167392,5167391,3151629,3151630,5169588,5148148,3132768,1831469,1831470,3132771,3194219,3194216,5233606,8071660,5165424,3147693,3147692,5112639,5112640,8023587,8018025,5106625,3101616,1812204,1034895,1034894,1812199,3101609,3152609,1844621,1052613,591915,330041,330040,591912,1052610,1041247,1041248,1054599 Dl.O(d2) = 10952403,10952404,15805728,21879983,21494205,21494206,28753552,21866891,15793243,10942060,10942061,15793248,21866898,29177430,29193828,29193829,37755146,41745216,37755332,29194060,21882182,21880085,21880084,21879871,15804420,15804421,21879872 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 593839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 593839, s2 = 10291342, int(edited[s2]) = 0 s1 = 593839, s2 = 10291342, d1 = 6, d2 = 61 Dl.O(d1) = 15367289 Dl.O(d2) = 237389886,266725897,238783937,239394410,239957659,240479797,266998313,241828160,242211650,242566100,242896193,243203595,243492149,243760582,244009239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 593839, s2 = 10291342, dlinesl.size( ) = 2 s1 = 593839, s2 = 10291342, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 593839, Dl.E( ) = 62, 2e-05 seconds used appending s1 = 14097285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097285, s2 = 9474309, int(edited[s2]) = 0 s1 = 14097285, s2 = 9474309, d1 = 9, d2 = 4 Dl.O(d1) = 101166828,87168838,73550472,60803498,49402925,39474443,39474444,40111572,31432465,31431090,31431091,31432471,23941403,17597007,12420829,12420827,12741982,12741981,16153754,11222781,7446431,7446432,11222782,16153757,17596964,23941364,31432436,40111546,38792798,256983671,50131303,40111152,40111151,256528629,23937803,23937804,31428978,31705053,40397082,256529169,23944610,23944609,31435480,39265320,30669485,23254001,16991115,16991116,23254005,30669492,39265324,49191465,40111512,31432411,30210097,22818174,16598836,11576491,7705504,4876684,2938471,2938470,267895713,11576455,16598772,22818090,16598854,16598146,16598147,22817228,30209060,23943735,23943737,31434685,268959293,38794627,48715925,60110652,258797031,100397097,98563865,84640736,71077875,58361246,46991076,37106247,255398342,15385966,10632935 Dl.O(d2) = 47104505,58482751,71204676,259927643,126561929,139925744,152632326,164483631,175260459,178870595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097285, s2 = 9474309, dlinesl.size( ) = 2 s1 = 14097285, s2 = 9474309, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14097285, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 6481533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 597586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10995224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 829531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7975364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9793751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14518856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14518856, s2 = 441522, int(edited[s2]) = 0 s1 = 14518856, s2 = 441522, d1 = 9, d2 = 6 Dl.O(d1) = 47825328,37903660,37903661,47825331,258107311,85548986,99495660,113506844,113506848,269332164,99495664,103554241,268218490,254756922,32190658,24602918,18155025,15701053,14060047,14060046,19619288,21953338,21953340,29277315,29279553,21955078,15863568,15863570,15863581,21955085,29279557,37846891,37846623,37846621,37846894,46742728,36861211,28362856,21147091,15194011,10480058,6909693,4339621,4339620,6909690,10480055,15194005,21147078,28362836,36861201,32028387,32028386,26348418,26348419,29592513,29279549,29279550,34222638,26348435,19619295,14060050,9669632,9669633,14060053,19619301,21953335,29277311,37844279,37846928,29279542,21955068,268396373,30321305,30321304,37846897,29279499,29279498,34657676,34657675,36861207,28362848,21147088,21147089,28362852,29279242,21954807,21954806,28362830,28362831,36861199,29592507,22243865,21954830,15863399,15863400,21953320,15862348,15862346,21953299,15862337,15862336,15863505,21147095,22174154,16049567,16049566,22174152,26348424,26348423,34222616,43320760,37844284,33859233,26037876,19360044,19360045,15863547,10995124,7278569,7278570,10995128,15863553,21955056,29277305,29277304,29624071,29592494,26348430,26348429,34222627,43320763,38158829,32028379,32028380,255065240,255065236,29515744,29504080,29504082,33242884,33242885,30503911,23089705,21953326,15862351,15862353,21953328,29277302,29515781,255424882,23620361,22920860,22920861,30321338,38067189,38067190,38080247,42631931,33606975,33606976,37846618,37846617,38908034,38908035,39870052,39010105,39010104,38906174,37846876,37846875,39217640,49144117,49237539,49237538,49144097,39217602,30620485,30620484,39217576,30620457,23198874,23198873,30620454,39217570,36897558,28400141,28400146,24826528,18333909,18333908,24826526,28400064,21179605,255814005,21176129,21182451,15221260,10499566,10499567,15221263,21179843,28400346,36897744,28403237,21182430,19471115,13935657,9565978,9565979,13935659,13935639,9565970,9565969,8958420,5847358,3649082,3649083,5847362,8958432,13143994,18500567,13935621,9565957,6277546,6277547,9565961,6922985,6922986,10498816,15220147,21180937,21179068,21179066,28399472,36896959,41626147,32720063,25033431,18500397,18500398,18500394,18500393,21180785,21180784,28401430,257421127,53014852,46776650,256646318,28401586,36898853,46776538,46776539,43413291,34311911,34311912,36898775,28401500,28401501,36898778,41626179,51928952,63738264,58195239,46829343,46829342,40402810,40402809,46776591,46776590,43413138,43413139,46776564,43413281,34311904,34311903,30074396,30074395,38650367,48409835,59794714,70858373,58623152,47230240,47230241,256916510,47230235,37459460,28920003,21644668,21644669,28920005,37459464,46776552,46776551,58144193,255878548,28785078,21521314,21521313,28785075,28785125,28785126,37321311,42631944,37321336,37321335,43413226,43413225,53940115,58623128,58623127,53940120,255878558,26433859,26433858,34311872,43413228,53940118,60086116,48690085,42060610,33111374,33111373,28785025,28785027,37321197,38768226,38768225,31622820,31622819,40311377,50337302,47230188,37321293,28785108,21521331,21521330,28785106,37321291,36951221,28450945,21224149,21224150,28450946,22794745,22794746,30184525,38768191,48690053,43413147,43413148,53940058,60086124,58195250,46829362,46829364,46829290,36951228,36951227,46829288,37321248,28785066,21521304,15509598,10726292,10726291 Dl.O(d2) = 4696014,4696012,7431514,7921756,5036318,3049317,1776456,1012830,1012829,1776452,3049306,5036292,7921714,11852455,11198842,11198845,16121425,17132426,12040026,8094234,5185634,4695927,4695928,7431326,10740830,10739220,10739222,15527726,21544593,28812442,255905282,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010934,28334915,28334914,22813141,16595023,11573918,7703908,7703907,11573915,16595017,22813136,30204540,30205407,30205406,268225244,36754028,36754030,44766663,38790166,30205438,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,22813846,22813845,268649295,48712168,58659462,58659463,269340551,29675136,29675137,22813714,22813715,22813763,22119381,16005908,11112060,11112059,16005901,22119377,28258766,21057670,21057671,28258772,36753784,38240024,30205404,22813792,16595436,11574165,7704036,7704037,11574168,16595449,22813804,22324578,16931862,16595582,11574260,11574259,11574155,7704048,7704047,11574187,16595475,17895087,17917915,17917914,24301111,28258750,21057918,21057917,16185281,16185282,22331796,22813733,16595385,11574136,7704022,7704023,11574139,16185231,16185232,16596365,11574807,11574805,11245986,11245988,16179377,15125803,15125804,10432857,10432856,15125892,11574831,11574832,16596395,22814965,22813797,16595441,16595440,21057768,22324553,16179254,11245896,11245895,11574151,7704028,4875799,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,255805411,256462985,255516795,11784163,7868304,7868303,11784162,8356991,5394048,4317471,4317472,6878007,5394061,3316892,1951280,1951279,3316889,5394054,8357009,12367635,17535112,23880927,31377564,40060203,50081779,50081465,50081467,50081851,53674847,43164704,40059862,40059861,50081404,40059854,40059853,50081400,255271886,25117329,25117331,23016632,16776415,11729498,11729499,16776417,19251318,19251317,19251338,25913314,25992219,19321166,13815868,13815870,19321169,25992223,268149404,41428788,48155851,41428577,32568370,32568371,41428575,32568367,24915632,18409281,254656444,254933354,13076228,8910547,5814742,3627186,2166250,254292825,5814744,8910554,13076241,254930736,18409485,13076236,13076237,18409487,24915917,18999349,13558926,9282967,9282966,13558923,18999345,19067317,19237457,19237459,13744264,13744263,19237529,18409296,13076105,8910476,8910477,13076108,18409303,13076136,13076135,255276762,13076283,13076282,18409511,13076257,13076258,18409514,24915945,24915953,19237558,267862878,33704211,41428718,41428583,32568377,24915642,18409288,13076101,9416733,6169866,3860664,3860663,6169863,9416725,13744215,19237443,17271024,17271023,23583623,31067989,33704148,25897890,19237492,19237491,19237469,19237467,25897854,33704117,32567176,32567177,40902945,32127393,24548085,24548084,32127390,33704078,25897820,19237439,19237438,25897818,30568255,33479492,32568407,31049446,31049445,39728336,40902969,32568417,24915675,24915674,25897795,25897796,23150875,23150874,30568265,32567751,32567750,32567756,25705979,19079208,13621254,13621253,19079203,23565104,23565105,31049442,33479458,42473147,42733742,33704147,25897888,24548095,18112662,18112661,24548090,32127399,40902950,51042096,62023218,50531190,40495555,40495554,40902940,51042093,42733735,33704141,33704140,40495365,40495367,32567412,31800318,31800317,40495414,50531039,40495312,40495311,39166091,30568274,23150879,16890139,11818962,11818963,16890144,23150887,24286372,24286373,31800426,40495507,50531162,62023158,50531025,40495298,31800198,31800199,40495299,40902966,32127416,24548108,18112669,12843542,8734040,8734041,12843548,18112677,24548118,32127435,40495322,31800477,24286410,17905506,12684790,12684788,17905504,17905410,12684734,12684732,17905402,23798096,17465692,17465693,23798099,24914917,18408851,18408850,24914913,32567456,31800279,31800280,30568259,30568258,39166072,38334907,38334906,48245305,59632353,51669708,41427690,41427691,51669712,268498952,63413002,51669953,51042086,40902931,32127381,24548076,18112653,12843533,12843534,18112656,24548078,24914940,32567485,41427721,40495582,31800503,24286429,17905519,12684798,8616056,5600728,254617835,12684781,17905493,24286387,31800447,40495406,39959012,39959013,49975628,51669828,41427899,32567666,24915059,18408933,13075848,13075849,18408936,24915065,32567674,40495516,40495528,32567450,32567451,41427697,32567900,32567902,32567602,32567601,32567685,24915074,18408940,13075851,13075808,13075809,18408865,24914943,32567490,41427725,51669727,63412881,62023223,62023222,256181342,51669862,63412971,51669894,41427999,32567803,24915166,18409004,18409003,18217071,12921069,12921068,18217067,24683251,32293866,41103821,51283137,41428262,41428261,51283146,41427842,32567609,24915021,24915022,32567612,257157995,51669747,41427750,32567515,32567516,41427753,32567834,32567835,41428028,256700734,51669870,41428381,32568156,24915430,24915429,256604969,51670183,63412987,63412985,257811424,51670186,41428390,32568165,24915435,18409143,18409145,24915442,32568170,39859070,39859069,41428340,41428338,33349288,25588972,25588973,33349291,33349339,25589003,25589002,33349333,36481504,36481503,39859047,32567948,27281733,20346264,14603503,14603502,10286733,10286734,14952775,20853562,28020143,35407425,44832850,49882243,46337418,36481441,36481442,46337425,256511552,256511554,28020086,28020087,36481378,46337337,48607624,38692183,38692185,42330740,42330738,48501690,38586756,38586755,48501688,47828104,37906349,29337495,22006069,15905105,15905106,22006074,29337408,22006016,15905075,15905076,22006022,22006077,29337507,37906366,47828120,47932758,47932759,49140849,39214053,257014199,60540696,73284416,85701158,72115348,59383236,58695950,47305524,257459677,256609238,71667052,58945378,47562504,47562506,49140863,39214064,30617270,30617269,31572539,31572542,40259984,50280960,47819487,42708188,42708189,53157682,47829176,37907396,31572575,31572576,30617387,23196518,16928439,16928438,23196513,30617378,39214182,39214004,39214005,47819613,47819611,46337429,46337430,49140601,43395388,34295476,31572520,31572519,34295489,30370637,30370638,29998545,26419192,19682739,19682738,26419190,256709821,50280984,41955474,255191266,267846566,38821896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14518856, s2 = 441522, dlinesl.size( ) = 2 s1 = 14518856, s2 = 441522, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14518856, Dl.E( ) = 14, 1.41e-05 seconds used appending s1 = 8154096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025444, s2 = 9413804, int(edited[s2]) = 0 s1 = 14025444, s2 = 9413804, d1 = 9, d2 = 12 Dl.O(d1) = 64479,64475,64224,64222,69259,127906,232184,411720,724644,1268896,2187193,3656582,5857722,8973105,13164411,18528385,18528391,25070595,25070591,24817875,18327312,18327313,18528382,18528380,24779116,18298573,18298575,24779121,32248441,32248442,41041181,51197171,62846517,59456115,256754562,256102265,18528368,13164384,8973085,8973084,13164380,268288819,256616419,32767359,41227212,41227211,34132807,26266255,26266254,34132804,43220687,257015582,32767355,32454299,32248425,24649776,24649777,32248428,41041159,51197151,62846505,62846498,258243212,257051266,70776100,84334637,87749627,270377774,75810036,75810035,74145265,257637477,49883311,61364708,61718417,61718418,61364701,61364702,74145261,74499838,61718401,50239460,46807460,36929107,36929108,31177348,31177347,39860111,49883300,61364698,74145257,61900497,61900496,61364694,61364695,74145253,84446316,74499851,74499852,88111584,74499842,70889108,58174865,46807462,46807461,58174862,70889105,84446313,98355933,257048448,87749619,87749616,87749617,98651792,84721646,84721645,98651790,102098588,102098587,115787928,115787929,126512778,126199108,112338628,102317400,88321674,88321675,102317401,116409839,115787926,101742196,101742195,101742197,101742198,87769262,74164574,61383954,61383952,74164571,74164568,61383947,61383946,61383932,49903409,49903407,49903418,49903419,61383948,61383943,61383944,70889107,70889106,72911653,72911667,72911666,74164557,61383935,61383934,74164556,72911669 Dl.O(d2) = 72911647,72911646,72911654,72911671,72911645,72911644,86508077,72911657,72911658,86508087,86508079,86508080,100466000,259806048,259179908,72911663,72911662,84508275,270675588,100466001,259806050,84508274,70944677,58227461,46859658,46859657,58227459,60174793,72911664,84508279,259288877,272100704,98429770,259790172,70944666,258037753,58227462,70944679,72911660,86508089,258551168,70944668,58227444,268915259,28484179,36981082,256849587,28484188,28484189,36981095,46859660,58227467,58227471,256849591,36981097,46859661,58227468,52705425,42318208,33337779,25578443,18970062,13534815,13534814,255673063,33337773,42318198,52705419,64605993,58227479,52705413,42318194,42318193,42206120,33244568,33244569,42206122,52566629,64441859,77610060,64441862,52566632,52566633,64441863,77610070,71444754,61462710,59220119,59220118,71958431,73434296,60686486,268425068,23335151,23335152,30757778,39358515,49285421,49984469,49285419,49285420,49984843,39968887,31294600,31294599,31294481,23808748,23808749,31294081,23808421,17475219,17475218,23808418,17475517,12320866,12320867,17475519,17475590,12320913,8322177,8322176,255172727,23808963,31294732,39968743,31294492,23808757,17475432,17475431,23808756,31294490,34681528,31294728,31294727,39969051,43956687,43956688,34681525,26687276,26687275,34681523,269175161,269657806,59133626,47735049,39504256,30896858,30896857,33109290,33109291,269081496,42058527,49435210,52402455,42058528,42058529,52402457,47634486,42058533,42058532,52402460,64257735,59036704,59036703,47634490,37712256,37712255,47634488,59036711,258714933,71779129,85368890,87082196,87082195,101078268,101605229,101605230,115645384,101605235,87638516,74035010,61254987,61254986,73077949,73077950,74221399,61441550,256010774,40253025,40253024,50274349,61634040,50274371,50274372,61754664,55678180,44769320,41054139,32259878,24659506,24659505,32259877,35343822,44769312,55678175,51211137,41054140,32259879,32259880,35343828,27220208,20291682,14560965,14560966,267992588,5259842,5259845,7469102,11251722,7999136,7999138,11949836,15853423,15596653,15596651,14536197,12339943,8336624,8336622,12339936,14926788,14926786,18522524,14975914,10308445,10308443,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847036,7660966,11516759,16524817,22446851,22446850,29814594,28070721,27220441,27220440,27284018,27284017,27277991,20860644,20860646,15074112,15074111,14610937,14610936,14606067,10050453,6604296,6604293,10050446,14606056,13930262,10268220,10268218,14931399,13346520,9119779,9119780,6257104,4845390,4845389,7657914,10291835,10291834,14604447,10049313,9085221,5942628,5942627,9085216,13303560,14608470,11516682,7660906,4846998,4846997,7660871,11516613,16524658,14601772,10047357,6602449,4136158,4136156,6602443,10047352,10390477,7676973,7676974,11539398,13301030,13301029,11013470,11013469,15669419,10847577,7171275,7171273,7436986,7436988,10246302,10396959,15074035,15244490,15051317,10377462,6838013,4290431,2565128,1477102,1477103,254218190,4290644,4290645,6838380,6838090,6838092,10377578,14967706,14967707,20870095,28038079,36501284,44769313,35343823,35343824,44769315,256110972,81566709,95600302,97787605,257769574,87084132,73466681,60718715,60718714,73466679,87084135,87084134,87084133,73466682,73466683,87084130,87084129,258261498,73445126,73466677,73466675,60718711,257069900,49316753,49316754,60718704,73435562,60687310,60687309,61206109,49727322,49295801,39368361,256966878,58885939,58885940,49316762,39389018,39389019,39358999,30758138,23335463,17069215,17069216,23335465,23354278,17086457,11998932,8051780,8051779,11998930,11982217,11982218,12005685,8061336,5153779,5153777,8061330,12005679,9907577,8023194,8023193,8066036,6511723,6511722,6511724,267871459,2441694,1411957,803357,803356,1411955,803359,803358,803363,455218,256536,256537,455220,803353,1411950,2441687,4080555,5178079,5117132,254567831,11979959,17069228,23335474,256480467,39359008,49286018,60687317,73435566,60718717,49316765,49316764,49316778,39389030,30786752,30786751,39389026,39389031,49316772,39389025,30786750,30786749,39389022,256522932,73466686,73466692,73466691,60718727,60718728,73466694,87082201,73465008,60717106,49315175,39387361,30785193,23360028,23330663,17063897,17063898,23330665,30753106,30753107,30753102,23330652,17063892,17063891,17063895,23330660,23330662,28209295,28209296,30778394,30778393,39353608,39353609,49280384,49307865,49307867,60710141,60681235,60681236,73428875,60710153,60710152,60710158,60710159,73458416,60710160,49307884,49307883,49307864,39380112,30778392,30778391,39380109,49307857,60710131,73458402,87075810,87075815,87075816,87075798,73458394,73458393,87075796,101071919,115147676,101071917,101071916,115147673,101071920,101071921,260677673,109396706,95142557,95142558,95142571,81085103,81085102,81085108,81085107,95142563,95142562,109396714,109396710,95142559,81085092,67619392,67619391,67619407,270136055,60218209,60218208,48821301,38899300,30312876,22912883,22912884,268652303,48821314,60218224,72957964,72957951,60218213,48821304,48821305,60218215,72957953,72957962,72957961,86557433,81568241,68078329,68078330,72680686,59941368,48549026,48549027,59941371,72680691,67619386,67619385,81085084,70556444,57854971,46498949,255751828,28157663,36632016,46498952,57854977,57854963,57854962,68078339,68078340,81568247,81568243,68078332,68078331,55679585,44770695,35345279,35345278,44770694,55679584,68078334,81085069,67619346,55281395,55281396,257918382,44437280,35063155,26979797,26979798,35063136,26979780,20091161,20091162,26979782,255743773,20091155,14404552,9907560,9907561,14404555,20091152,14404549,9907558,6511710,4080574,4080573,254689319,9907563,6511712,4080576,2441700,1411960,803360,803361,1411962,2441705,254471055,4080580,6511717,9907569,255328519,14404541,9907552,9907551,14404540,9907557,6511707,6511706,6511715,9907568,14404565,20091172,26979761,26979783,20091164,14404563,14404562,20091169,268548477,35063152,44437255,35063127,26979767,26979766,35063124,44437252,55281415,44437275,44437245,35063120,35063119,44437243,55281404,67619359,67619363,67619362,81085071,258528345,55281419,67619365,67619372,270136053,67619357,55281423,44437268,35063146,35063147,44437270,55281430,67619376,58938313,47556458,47556459,55281435,55281434,67619379,67619367,55281424,55281425,67619369,71659782,71659783,72298581,67619382,67619381,59564314,48177813,38268264,29702112,22347824,16197814,11259727,11259725,16197810,22347819,29702103,29702110,29702111,38268262,48177811,59564307,72298619,85891342,85891343,99846042,113863707,259535226,85891356,99846066,99846067,113863732,127736973,127736952,127736936,113863722,99846060,99846040,85891321,85891320,99846039,113863702,127736942,127736953,127736947,113863705,113863704,127736946,127736951,127736950,127736963,113863720,259535224,258287844,48177807,48177808,59564301,72298611,85891341,99846065,113863730,127736959,127736954,116205955,102144682,88153675,88153676,102144683,88153648,74538713,61754623,50274336,50274337,61754641,74538734,61754645,61754628,61754629,61754632,74538724,88153661,74538725,61754637,50274334,50274335,61754639,61754624,61754625,74538717,88153653,88153679,88153666,88153660,88153659,74538732,74538731,88153668,101817916,88153650,88153651,102144685,101817911,101817910,102144684,88153649,87843524,87843523,101817917,102144697,115674143,101817915,258870346,61458827,61458826,74238200,87843521,101817913,101817920,87843527,87843528,101817909,101817918,87843526,74238202,61458829,49980609,39964084,39964085,49980611,61458831,74238206,87843530,101817921,115864485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025444, s2 = 9413804, dlinesl.size( ) = 2 s1 = 14025444, s2 = 9413804, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14025444, Dl.E( ) = 14, 2.1e-05 seconds used appending s1 = 9817393, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15169937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15169937, s2 = 4448329, int(edited[s2]) = 0 s1 = 15169937, s2 = 4448329, d1 = 33, d2 = 14 Dl.O(d1) = 28728300,21471064,15468821,10696037,7066278,4449049,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313912,17051342,17051343,23314578,23884101,25459882,22673999,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735505,30735467,23316255,17052538,17052539,23316261,30735415,23316227,17052524,17052525,17051047,17051048,23314108,23314639,23314588,23313556,17050660,17050662,23313560,23314251,17051142,17051143,23314258,30733239,39331446,39331642,39330852,30732550,30732552,39330855,30733485,23314461,17051257,17051258,17051955,11962258,8007573,8007572,11962254,17051951,23314937,23315602,30734756,29479982,29479981,30733130,38043128,29479891,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985,30026181,23314222,17051816,17051818,22142350,29479826,38043060,30732525,30732523,30734817,30734816,29769212,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948 Dl.O(d2) = 175440836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15169937, s2 = 4448329, dlinesl.size( ) = 2 s1 = 15169937, s2 = 4448329, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15169937, Dl.E( ) = 38, 2.29e-05 seconds used appending s1 = 608676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 610577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 610577, s2 = 675040, int(edited[s2]) = 0 s1 = 610577, s2 = 675040, d1 = 2, d2 = 16 Dl.O(d1) = 15691025 Dl.O(d2) = 21741494,16200010,11261312,11261315,7595005,4804250,4804249,7595010,7595045,7595055,11425776,16409934,22437922,22437923,16409967,11425798,7595061,7595060,11425792,16409956,22593097,21677283,15638407,15638406,10821836,10821838,10821869,7151931,7151929,10821902,15638602,21677545,21746636,21746637,28999049,25856101,19199324,13712015,13712012,19199318,15685422,15685423,15672345,15672344,21715619,16473125,11477619,7633945,4829631,2910308,1688348,1688347,2910305,4829623,7633934,11477601,7634054,4829691,2910339,2910337,4829685,4829745,7634167,11477992,16409658,16409657,11425624,11425625,11425635,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,12212769,8243373,8243371,12212762,17338813,23655630,31142702,39825148,269393543,74114669,87720333,87686586,258077582,269790022,39797871,257050923,257324184,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,21736860,21736858,29027071,32834375,25129289,25129291,25129162,25129158,32834159,41755147,39393970,39393971,32834588,32834590,41755655,44423149,44423136,38651521,38651524,48566978,39408155,39408152,41755522,32834494,25129370,25129369,30755755,30803621,30803620,39408378,40274579,46758847,49818485,49818540,46758863,46758819,36880012,36880011,35048259,35048086,32171913,24585981,24585982,29955820,22591638,22591641,22591583,16408893,16408892,22591581,21733831,21733829,29023151,37569646,32834552,32834553,41755609,47479930,47467939,47467940,58852126,49337723,39797742,31117184,23630702,23630699,31117179,29955334,29955337,38520200,31117132,30560174,30560175,39157335,47485950,52069475,48791511,40274571,38353627,29781011,22415633,16250626,16250627,22415641,29781024,36879958,36879957,46758755,37339627,28801518,28801519,37339631,47249587,48428353,59814197,255038126,255038124,52069074,47677508,42907428,33861916,255700859,13848964,9500434,255293199 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7927650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7927650, s2 = 13180842, int(edited[s2]) = 0 s1 = 7927650, s2 = 13180842, d1 = 25, d2 = 39 Dl.O(d1) = 49267501,49267502,59315318,47922067,38006659,29443736,22110084,15998326,11106555,11106556,15998330,22110091,29443746,37958585,37958586,29393992,22063588,22063587,29393989,37958600,268213538 Dl.O(d2) = 38646457,42155206,38646435,30070710,30070711,22691169,16490140,16490139,22691164,30070746,26657180,22691235,22691233,30070835,38646582,255925552,53693099,53693098,48562360,257258001,34097195,34097196,43181805,53693058,49980999,39964492,39964491,49980997,42113818,42113817,52466427,59954244,49981021,49981020,48562583,38647094,30071300,30071299,31289286,31289287,31289315,31289314,39964396,49980890,61459016,59875709,48483471,48483470,52060196,61458991,70195174,64080556,59081778,47681869,37759707,37759706,47681867,59081776,60269919,48877655,38958313,38958312,38958915,38958914,48156330,38247126,38247125,30372807,22971092,16734970,11692067,7798046,254369985,1732841,1732844,2984663,4945163,7798088,11692139,11692201,11692202,16735197,11692190,7798111,7798110,11692182,11692336,11692335,16735470,11692347,11692346,16735488,22970546,22970545,28762330,28762331,30371931,30373713,30372620,22970938,22970937,28762283,28762282,28762268,28762269,30373108,22971366,16735144,16735143,22971360,22970659,16734698,16734699,16735120,16735119,22971315,16735430,11692308,11692310,16735438,13196360,13196363,16735275,16735227,16735225,22971327,30373066,30373054,22971319,16735343,16735344,16735412,11692300,255125853,22971742,30373482,30373525,37295723,28762213,28762212,28762258,24314563,17928848,12703448,12505886,8471623,8471621,12505878,17683471,18570231,25121874,24314447,18569682,13195920,13195921,18569688,25121247,18569772,13195977,8995808,5873184,3667233,3667236,5873193,8995824,13195952,8995854,5873203,5873204,8995861,13196100,12703349,8630684,8630683,12703342,17928679,18570482,13196447,8996029,8996028,8995946,8995947,13196285,18570266,18570545,13196490,13196489,18570542,17928729,12703379,12703380,17928734,24314423,25121526,18569925,13196546,13196548,13195643,13195645,13196511,13196195,8995910,5873230,3667253,3667252,2195209,1275299,729508,729507,1275295,2195197,3667275,5873281,8996020,13196074,8995847,8995845,13196066,18569908,24314351,17928693,13196402,13196400,18570236,18569456,13195771,13195770,18569450,18570557,18570555,18462556,13115837,13115836,18462551,18462562,18462563,18570239,25121885,25121292,25120777,25120778,18570412,18570413,24470263,32032625,40789586,32826070,32826069,32658601,25121690,25121691,32825888,40789537,32032563,24984715,18462421,13115754,8938966,8938965,13115750,18462413,22264696,17064347,11973026,8018046,5106630,5106629,8018040,11973015,17064327,21534108,25120916,268197007,10298571,6771326,4244109,2537568,1462224,1462225,2537570,4244112,6771330,10298578,14966236,20868434,25057657,18519530,18519531,25057658,21171992,15213237,15213236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7927650, s2 = 13180842, dlinesl.size( ) = 2 s1 = 7927650, s2 = 13180842, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7927650, Dl.E( ) = 40, 2.6e-05 seconds used appending s1 = 9738101, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7588076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7588076, s2 = 9433398, int(edited[s2]) = 0 s1 = 7588076, s2 = 9433398, d1 = 74, d2 = 111 Dl.O(d1) = 268621118,268642969,16409974,16409973,22593123,22592779,22592777,29957232,29870639,22511359,16337520,16337521,21746603,15694850,10865023,10865022,15694882,21746652,18821252,18821253,254161806,15690002,21740090,29031220,22669006,254340532,7634013,7634014,254509668,21742256,254340524,10862918,15691647,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340 Dl.O(d2) = 58224760,257220818,256147746,21263410,28481118,33322534,28481133,21263424,15300762,15300763,21263427,268609873,39123748,39123747,48525071,59028361,59028360,71540405,61317948,49834971,256951566,256888301,28972903,256888303,47657813,47657812,48973574,39051935,39051936,48973575,60369346 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14023715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7874682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142515, s2 = 14166772, int(edited[s2]) = 0 s1 = 14142515, s2 = 14166772, d1 = 7, d2 = 16 Dl.O(d1) = 265551256 Dl.O(d2) = 5675921,3530198,3530202,5675938,254815759,5036385,3049358,3049359,5036387,7921870,11852708,13145671,8959503,5848042,5848041,8959500,13145667,254941246,19300166,13799485,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,12850876,18123371,24482081,19506027,13961684,12750244,256056649,26997467,254975914,9915202,6516060,4082832,2442912,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11004300,9125191,5971235,3734188,3734189,5971238,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896149,4024658,2411826,2411827,4024663,6415091,9756446,14192561,15384382,21363269,19813990,15354890,10607867,6999195,4398653,2635736,1521999,862912,486999,273857,273858,487006,862929,1522037,2635812,4398795,6999415,10608112,15355106,14442469,12788653,8694116,5658612,5658611,6998930,5756160,3584452,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,4427185,4427184,4024614,2411803,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300022,5367751,7282533,7282532,11001318,15872352,17467612,12314953,12314952,10904965,7212175,4544061,4544060,254749455,10904964,15745461,21806559,21806558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6501674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7816948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9813201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6439378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13197005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14276305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 620297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14042768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339642, s2 = 6568909, int(edited[s2]) = 0 s1 = 10339642, s2 = 6568909, d1 = 91, d2 = 98 Dl.O(d1) = 254822284,254377995,1790189,1030306,1030307,1804413,254379857,3059194,1783330,1017033,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282954,282952,324374,579991,1029327,1025022,577581,323143,323144,577585,1025026,1796452,3072680,267768977,575899,322271,322270,575897,1022098,1792071,1799210,1026612,1026613,1799211,3058646,3058647,3070815,1790649,1021186,1021187,1790652,3070823,3091110,3091109,5055229,5072499,5045435,3055905,3055903,5045432,5062626,3067470,3067473,3087047,1802586,1802585,2580371,2580368,4314627,5047029,5047028,3080356,3080355,3084552,5045524,7934867,7987553,11899657,11899658,11886881,11886880,11899661,16985181,11899660,8002022,8002021,7943022,5051453,3060444,3060443,5051451,7943018,11881406,16969342,23239558 Dl.O(d2) = 72115099,62526483,50923134,40803867,32044015,256571279,41958671,41958672,41958799,33017140,25291464,18717921,13324365,9104027,9104026,13324360,18717911,25290455,25290456,33015784,38188048,33016074,33016073,41958725,40803661,257121599,258189344,64151246,62526382,50922983,40803677,40803678,50922986,257706382,52299413,256061956,25290499,18717327,18717326,18635853,13249841,13249838,254885354,32910566,256061968 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7829892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7829892, s2 = 325941, int(edited[s2]) = 0 s1 = 7829892, s2 = 325941, d1 = 115, d2 = 98 Dl.O(d1) = 255525604,11980273,11980272,8050145,8050144,8069253,5163689,5163690,8069256,8074980,5169676,3151682,1843984,1052236,1052235,1843982,3151676,5169666,5177330,3158499,3110281,1817506,1037760,1037759,1817504,3110278,5119918,5117379,3108387,1816362,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,1810295,1810292,1838673,3143612,3150519,3115963,3115964,1843175,1843174,3150407,5112861,5112862,5112874,8023722,8045163,5135359,3122469,3115571,254380743,3096766,5101728,5142434,3128180,1828703,1828701,2819414,1635680,1635679,254351559,5114618,3106347,1815090,1036444,583881,254177177,1041498,586423,327511,180672,180648,180643,327440,329747,182066,99894,99893,182059,330574,592949,1053708,592488,592487,1053732,1846526,3155366,5135068,5155701,5172622,7521889,4755994,2866478,1663699,1663697,2866468,3158920,1849123,1849125,3131294,1830525,1044728,588061,588064,1044735,1830540,3131327,3112967,3112963,3134812,3148456,3148457,4678824,4678823,2868884,2868885,4678837,7405851,4678844,2818823,2804017,1626686,924987,924988,521578,521579,292747,292748,522291,926626,1629603,2809074,2809049,2809050,4662679,4653542,2803490,2803491,2805495,3280079,1929342,1929341,2809029,2803522,1626362,924791,521308,292211,161640,161641,292216,521313,924803,1626387,2803549,4653625,2805437,1627439,925423,521643,521642,925418,1627433,2805426,4656875,7371624,7371625,7371750,4656981,4656983,7366236,7366243,11106518,7380456,254523336,2809063,4662687,4677723,267889334,2803428,4653442,7366063,11106317,15998020,11106382,11106381,15605304,10796235,7133264,7133263,10796229,11106426,11106427,15998189,255885049,22109804,15998048,11106270,7366030,7366031,11106272,15998054,11106433,7366163,4653510,4653509,7366054,4653437,4653436,6432972,9784742,11106293,15998081,15998310,15998311,22110064,22109957,15998232,15998231,15998045 Dl.O(d2) = 8163599,255157355,268434159,39726721,49746039,257825971,42721462,42721461,42721463,53171158,50649145,40599215,31890352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7829892, s2 = 325941, dlinesl.size( ) = 8 s1 = 355191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14033570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14033570, s2 = 616253, int(edited[s2]) = 0 s1 = 14033570, s2 = 616253, d1 = 57, d2 = 48 Dl.O(d1) = 255080600,8840821,12986605,254299508,10696093,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,254825760,12164775,17285386,23597489,31080773,254738390,255600843,255261909,9187056,6012841,3760505,3760502,6012835,9187049,13437407,18860004,25459871,33207562,42167592,39758459,39758460,257023391,27977844,20814304,255782397,268901011,30733268,30733267,39331465,39758526,39331796,39331797,49257733,48348180,38445981,29889585,25459886,23884100,23884101,25459882,22673999,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097589,8007461,8007706,11962511,255160730,23313539,254583250,17051272 Dl.O(d2) = 41737726,41751891,52065852,63884134,76994812,258413492,258413496,86906149,257258160,49153352,39226811,30628918,30628919,39226813,49153357,49153364,60552779,73295913,86906164,84086399,70549634,57847571,57847437,46491330,36624960,28151559,28151558,36624959,46491328,57847434,256650672,59140708,255265708,15845759,21933269,29254323,34584588,34585879,34585880,43856734,39910441,31234538,26603366,26603367,34590064,34587556,30709427,25460564,18860529,13437726,12281965,8294604,8294605,12281968,17425448,19797628,19797627,23752132,23752131,31235312,26593911,19788519,14174179,9744344,6407420,6407423,9744349,9747157,9747158,14178449,19794270,26600451,20223128,14511650,9985516,254982523,20223121,27128167,30216663,30216664,27211640,20283332,20283334,26596840,26596841,25540432,25540431,27271243,26608351,26608348,26608697,26608390,19800822,14183145,14183146,255726225,34595578,43866231,255882036,29393746,37958356,44762320,35335769,27211383,20283112,20283111,27211380,30525045,30525044,30526001,30526002,31627114,31627113,29217213,21902877,15822977,15822978,18229929,18229930,23020613,16780236,16780235,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,9996994,9996995,268082286,27127935,20222890,20222889,27127932,255884264,26613294,19805016,14186221,14186222,19805019,23318640,30503974,30503973,29634129,29634128,38200934,255070702,23318800,17054254,254234236,5098244,3094447,3094448,5098211,7142883,4878098,4878097,7707848,268081960,16601992,16600916,11578071,7706602,7706601,11578067,16600911,22820653,30212639,256379044,72205083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14033570, s2 = 616253, dlinesl.size( ) = 2 s1 = 14033570, s2 = 616253, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14033570, Dl.E( ) = 66, 3.5e-05 seconds used appending s1 = 866617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7990286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7990286, s2 = 10160790, int(edited[s2]) = 0 s1 = 7990286, s2 = 10160790, d1 = 10, d2 = 13 Dl.O(d1) = 6513788,6513792,6514275,9911912,14411608,20100341,26990213,35074343,44449131,48231651,38321348,38321349,48231654,59618976,72353946,85949086,99734972,113532982,99521498,85574582,71987470,59250275,47853656,37933750,29367282,29367284,37933754,47853662,59250285,49312811,39385142,30783187,30783188,39385144,49312816,54699945,43955766,34680613,26686437,19867544,14234342,14234343,19867548,26686443,34680620,43955751,43955752,48073174,59463944,54699915,43955745,43955743,54699911,49312797,49312798,60714787,67624282,67624280,72945008,60205193,48808103,48808104,257238432,269842152,55689546,44781879,39385124,30783178,23358384,17089874,12002165,12002166,17089877,23358389,30783190,38566005,48479479,54699943,48386296,38483606,29923400,22563892,16384199,16384200,22563895,29923403,38160399,29594087,29594089,30766142,30766140,39367775,39385132,30783181,30783180,39367766,39367767,48808125,255761806,22901367,22901366,30300042,38885818,48808123,269814938,38885824,38885822,48808131,60205209,72945025,86544834,100506969,100506945,86544809,72944998,60205185,60205186,72503313,269809478,48386300,59769122,72201628,59463946,48808107,48808108,256580356,49295204,39367772,30766138,23342940,17076763,17076762,11989838,11989837,17076766,23342949,24172558,31680703,30300019,22901347,16670636,11635873,11635875,16670639,16670649,16670650,22901369,30300047,38885774,38885775,48808079,43861745,38885793,256992527,48808096,38885787,38885786,256395974,43861739,46727190,36844116,36844115,31486664,31486663,254444926,19701127,19701129,19703757,19703756,16795996,16795998,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24071112,17714875,17714878,12599286,12599284,17798841,14129013,14129011,12680347,9719014,9719013,8550171,8550170,12599213,9719600,6393972,4012499,2404708,2404709,4012504,6393986,7107304,7107302,10757504,11661797,11661794,12299684,17448698,20150111,22313456,16167928,14332430,14332431,20012241,24067750,31573405,255198464,43421084,40359454,34320337,26442771,19703587,14127764,9719514,9719513,14127762,16170788,11238569,7459279,7459281,11238579,16170813,17707443,22316768,29668353,26892784,20818189,20818190,16170939,16170940,16170652,16170653,14127098,14127095,9719124,9719126,14127120,19702719,17065956,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,1427771,1427770,2470173,4129391,4129392,6591329,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331967,16171891,16171894,22317074,17712231,17712230,24068095,267914954,50281710,61761195,51296647,41115560,32303811,30059898,30059897,28417323,28417324,36915103,46792850,58160454,48548104,48548105,48548048,38633674,30059903,22682958,255929493,36915106,28417330,21195228,15231509,10507110,10507109,255386493,28417322,256843931,58160450,59940562,48548134,38633781,38633782,48548101,48548100,38633739,30059981,22683047,22683046,30059979,22683073,22683074,22683058,268091507,7639338,4833162,4833163,7639340,11485593,16484523,22683059,30059997,256869315,30060069,22683138,16484594,16484593,21906742,15825705,15825706,255870777,37783607,47704317,37784862,37783740,30060066,28709778,21454861,15456051,10686637,255036587,21454864,255836783,15455931,10686563,10686562,15455929,21454723,21907610,15826414,15826415,10968874,7260382,7259544,7259543,7260391,4578858,4578859,7260393,10968892,15826144,15826143,21907293,254344574,32326183,37787893,29225959,29225960,268934541,256365378,258720854,74625145,61832776,50348730,40322259,257578174,8524602,8524601,8056789,8036718,5126782,3157899,1848432,1848431,1818450,1818451,3111858,5121974,3113955,3104371,1813894,1813895,267838017,5141225,8025573,5114708,5114709,4758635,2868226,2868225,4758633,4756246,3124365,1826300,1826302,3124370,3137008,1834192,1820093,1039084,1039083,1820091,3114619,3138786,1835386,1047395,589328,328829,328828,329682,591115,1050978,1841706,3148332,1846535,1846536,2819951,254351613,1810465,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401 Dl.O(d2) = 8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112774,5123206,8033733,8036871,5126966,3115895,3115897,5126973,4756607,4756606,3070980,1790771,1021269,575467,575470,1021283,1790798,3071043,5042235,5042234,7931295,11866768,7964633,5075308,3077757,1795833,1024630,577374,323044,323041,577384,1024654,1795885,2819216,4679475,7406564,5131722,3119697,3119695,3119703,3119705,5041094,5041093,7169118,4515204,4515202,7118692,7988872,7988875,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,8073880,7994951,5089392,3088366,1803718,1803720,3088375,5089408,7117214,8022913,7116722,7116723,8073872,8073871,10772091,10772092,15572876,12687464,8618308,8164296,8164297,11939563,11875335,11327790,7524003,7524002,5064473,5064476,7961536,7990908,5086104,5086106,7990922,7117374,4481222,4481220,4480584,2692125,2692123,4480593,7116320,5172005,5085518,5085521,7990016,7990020,11292166,267836620,2712977,4515117,7168970,10771287,10771286,15572038,21599609,28874893,29822745,22455558,22455557,29822742,38395095,48305682,59692652,72428427,84259439,70708197,57991311,255576432,36727595,37542462,47450425,254601762,47716083,37795401,29233010,21915879,21915878,28233513,36727240,46614919,48327428,40167817,40167816,31485425,31485424,40170569,46615144,50192146,255185730,36543244,28075484,28075485,29232791,29232790,37795157,47715844,47716089,37795406,268245548,15832763,15832734,15832732,21915841,29232967,22731512,16526274,11517993,7661847,7661848,11517997,16526284,22731458,30111688,30111734,22731483,22731481,30111728,36904828,46782585,53062679,254406130,30837830,30837831,39441549,38687836,30111799,30111800,255184680,22485777,16313657,16313659,22485781,29232728,28882037,21916161,21915622,15832581,10971884,10971885,10971941,7262445,4580147,2755625,2755624,4580139,7262425,7499983,7499985,11296382,16248250,22378289,22378287,21916135,21916134,22592090,29851081,29851082,37795427,29233036,29233035,37795423,255186876,46890269,37011201,28512336,21291827,21291826,28512333,31487653,23990631,17645877,17645876,23990624,31487640,29169802,29169801,23990173,23990172,31483834,23986734,17640846,12465225,8433965,8433963,12465208,17640820,23986619,23986616,31483576,33378960,25613547,19000235,13559669,9283549,6081406,6081408,9283553,13559677,19000249,254406502,42367906,49265230,39339182,30740572,254405910,11964731,8009150,8009149,11964728,17055566,23320345,30740559,39339167,46629663,58004952,65160054,61669994,50185799,50185798,254407012,61663353,255183724,40155830,31471739,23975610,23975609,31471737,40155826,50180681,46627822,38757993,30175022,30175021,37469437,40290689,31607675,31607677,40290697,41586465,32688378,31483670,23986657,23986656,28244688,21045250,21045248,28244680,33378703,40156867,31472650,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465114,17640694,23986480,31483383,39035213,30740858,30740811,23320497,23320498,30740813,39339494,49265538,254857804,48770718,38850890,30266905,30266904,31473458,23977256,23977182,22378939,16222356,11277184,254531819,2850236,1653753,940758,530483,297403,297402,530481,940755,1653748,2850224,4730659,7485855,11277045,9554995,254442644,1361407,1361406,2350063,3925502,6269622,9554968,13921122,19453256,16964175,16964173,22144964,16026387,11637544,11637543,11584799,7710989,7710988,11584791,16038142,11136092,11136091,16038137,22159265,26151795,19453085,19453086,15440555,10674805,10674806,15031458,10359287,6823216,6823215,10359294,15031465,16038314,11136215,7386541,7386543,4666534,4666535,7386639,11136362,16038501,16277821,11318890,10686989,9554904,6269587,6269589,9554914,9554959,13921108,19453239,26151980,26151995,30223192,22831089,16609914,11584786,7710984,4880037,2940427,2940428,4880041,7710990,11584804,16609942,22831114,30223212,23117585,23117584,22830744,22830745,22115740,16003023,16003021,22115738,29449429,28116709,20939764,20939763,16037995,11135989,11135987,7386794,7386795,11136615,16038812,22159862,22159861,16242568,11292299,7497371,4739348,2856332,1657744,1657745,2856335,4739350,7497376,11292306,16242578,22404927,268451086,16609484,11584386,11584387,11136515,7386730,254350523,1630978,1630980,2811400,4666606,7386766,5040756,5040757,7386245,7386246,11135733,16037684,16038602,11136430,11136431,16038606,11136706,7386870,4666675,2811437,1630993,1630991,2811429,4666660,7386653,11109952,7873447,4998414,3020037,1755110,1755111,3020043,2804274,2804272,4654885,4654937,4654939,4662774,4654961,4654963,4646438,4646437,7355577,7386229,4666326,2811250,1630909,927449,522775,522776,927455,1630926,2811288,4666396,7386390,7929569,11864860,16003191,16003190,22115908,22159902,22158920,22158919,16038769,16003787,11110552,7368873,7368872,7386851,11136683,11585669,11585672,11110476,11110475,11109978,7368475,4654914,2804289,1626828,925076,925075,1626821,1626834,1626836,2804304,2809119,2804317,2804319,4646430,4646431,4666275,2811218,2811219,4655061,2804354,2804356,1630886,1630887,1630912,2811258,4666340,7386314,11135828,11110195,7368612,7368584,7368581,11110135,11110173,16003244,17161305,12064916,11090844,11090843,7368867,7368868,11110541,11110122,11110120,16003173,16003087,11110076,7368545,4654957,2804411,1626877,925102,521473,521474,925108,1626891,2804431,4655182,4662767,7380570,11110093,11090970,11090971,11090977,7386223,4880081,2940450,2940448,4880073,4666259,4666261,7386207,11110307,16003440,16003308,11110210,7368626,4655008,2804332,2804331,4655002,7368608,11110185,16003263,15976615,11090840,11090837,15976603,22082409,22116677,22116678,29412890,29449811,29449812,22116594,22116596,16610992,16003800,16003720,11110488,7368840,7147966,7147965,10815889,7368815,7368813,7368849,11110511,16003750,22116364,22116366,22831010,30223129,29412972,29412971,29450340,22116724,16003907,16003906,22116605,22158734,22158735,22158744,22158758,29497649,29449388,22115687,16002965,11109985,11109986,16002969,22115699,22115987,22115965,22115966,22116425,22116427,22116689,29450306,37976267,38011945,30223508,30223510,30224095,22832100,22832099,22116496,16003712,16003711,21665267,21665268,22116383,22116382,29449977,38012099,29450167,29450166,29450076,22116455,22116456,29450080,29815241,29815237,38387936,255941102,47926843,59319565,59684570,48298295,255941126,72054053,72054052,60830536,49428292,49428291,58677367,58677366,71411388,84985514,85613176,256984876,48506680,47891866,255886356,22080050,15974516,15974515,22080047,29410521,37973939,256009810,33993492,43052372,53532282,61688622,50205837,40183050,31498279,268243732,39317691,39317690,49244625,39317671,39317672,49244627,58245635,47300790,37391619,33992544,33992266,26150811,19452378,19452377,23258768,16995537,16995536,19452708,19452709,26151105,19452633,19452383,19452385,21579488,15556051,15556052,15320974,15320973,21284675,26151125,19452655,19452654,19452317,17656416,17656417,19452311,22349594,16199214,16199212,19452591,13920716,9554741,254950465,16995515,11909840,11909839,16995513,255972473,30674993,26150716,19452300,19452299,26150714,33992184,43051416,256693561,255706289,13920598,13920596,11261029,7475691,7475690,7475532,4724472,2846624,2846623,3925432,2350031,1361394,775943,775939,1361380,267814675,6269427,9554630,13920511,19452304,254537220,11381298,7561520,5602950,3478584,3478581,5602943,7103660,4472433,254504655,7102739,7102738,7559711,11372789,11372788,11378754,7559674,7559677,9966438,11361735,7548494,5238391,3197664,3197665,5238398,8169276,8168700,5237993,5237994,8168703,12138900,16343884,16346700,18595109,16341213,11370044,8904877,8904878,8344462,8344465,12350779,17514527,22505902,17514703,12350900,12350898,17514698,17283819,12162870,12162869,16357069,22529668,23608277,17295827,17295826,22507288,16333522,11364074,267789190,4774665,7549986,11364064,16333509,254346904,7491174,11284136,255417008,11344743,11344742,11344132,11344135,16304069,21105011,15160100,11544383,11544381,16316989,16316922,16316923,22478083,267907292,7539692,7539673,4769379,4769380,2875233,1669077,1669076,1669087,1669088,2875260,4769512,7539932,11346675,16308036,16318243,22377227,29734891,22478767,22478766,29839730,29839729,29840069,29848082,22527264,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669146,1669147,2875394,4769788,7540509,11347738,16309773,22480821,16735992,11692696,11692697,16735995,22083848,29414124,22479455,16308521,11346980,254260978,22479456,16768802,11722533,11722535,15927425,15927426,22028466,22472086,29839720,29349933,29349932,37918428,31706562,254761354,23545441,17237832,12121013,12121012,17237830,23545439,31026386,31137705,23650055,23650057,22522315,16349090,254836004,14434657,9929294,6525599,6525600,9929298,11371786,7554801,4777350,2879197,2879199,4777353,3197773,1871807,1871808,2879190,4777331,7554765,8168849,7305245,4609687,2775341,2775346,4609716,7305292,7554689,11371613,254395380,5327306,8257740,12230256,17360243,21102959,15158477,15158478,20124479,20124478,22505862,21103133,21103132,23134558,254758948,49081322,49081321,49081322,255944478,74482785,61699825,255118318,59286123,47889781,37971464,37971465,47889783,59177788,47778757,37855374,29287137,21961297,15868250,15868249,21961295,29287135,29287124,29287125,29407642,29407641,37971557,47889891,59089247,47690552,37769276,29207697,21894246,21894247,29207698,37769278,47690556,47889814,37971484,37472303,28930984,28930983,37472300,47379451,58766769,71496452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7990286, s2 = 10160790, dlinesl.size( ) = 2 s1 = 7990286, s2 = 10160790, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7990286, Dl.E( ) = 14, 1.69e-05 seconds used appending s1 = 8132914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16377750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 626664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 626664, s2 = 6764698, int(edited[s2]) = 0 s1 = 626664, s2 = 6764698, d1 = 19, d2 = 6 Dl.O(d1) = 16059245,11150729,11150730,11150802,16059322,16059620,268210300,7396695,7396694,11151805,16060668,22188033,29530591,22268172,16127160,16127159,22266091,22266090,22266603,22189951,22189950,29532866,29617407,29617408,29618699,22267575,16126487,11202472,11202471,16126482,16127207,16127206,16127295,11203157,11203156,16062841,16062842,15241341,10514245,254494055,2609766,2609765,4356525,6933519,10514241,7433672,7433673,11203069,16127225,22268086,16127187,16127188,22195025,16125368,11201512,11201513,16125370,16060554,268210262,11151707,11201500,7432512,254771253,16125353,16127529,11203324,7433834,7433833,7433238,4697112,2830039,2830040,4697116,6565559,9989634,14517786,16125689,11201819,11201820,11202978,16127135,22268134,255387249,15241315,21207626,28431556,28431567,21207649,21207648,28431563,22266879,16127057,11203021,7433630,4697379,4697380,7432466,7432468,11201425,11203138,7433717,4697430,4697429,7432523,4696632,2829774,2829776,4696638,7432535,268084821,7433832,7433831,11203317,11202281,7433082,4696977,4696978,267829877,2830201,4697387,7432477,7432478,11201447,11202977,16127134,16058478,15618383,10806211,10806210,15618380,16058507,11201331,11201332,16125159,14514387,9987417,9987418,11203115,7433697,4697422,4697423 Dl.O(d2) = 258201582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 626664, s2 = 6764698, dlinesl.size( ) = 14 s1 = 11108136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11108136, s2 = 6893773, int(edited[s2]) = 0 s1 = 11108136, s2 = 6893773, d1 = 33, d2 = 29 Dl.O(d1) = 24282859,17902164,17902163,24282856,29765053,22402461,16240527,16240528,22402462,29765058,38334757,29764023,22401566,16239776,16239777,22401568,29764025,35040181,26960397 Dl.O(d2) = 259779187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11108136, s2 = 6893773, dlinesl.size( ) = 2 s1 = 11108136, s2 = 6893773, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11108136, Dl.E( ) = 56, 2.31e-05 seconds used appending s1 = 14901985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052805, s2 = 6965975, int(edited[s2]) = 0 s1 = 14052805, s2 = 6965975, d1 = 26, d2 = 36 Dl.O(d1) = 31382643,23885856,23885855,268681235,23901828,17557430,12386846,8370456,5402176,3321415,3321297,1953605,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,5605716,8622043,12691984,12383875,12383871,17546586,16195218,11257864,11257863,11618462,12376903,11618187,8274220,5338887,5338888,8274224,12251345,12692094,8622118,8622117,12667144,12667149,8621702,8621706,12403435,17547047,23893266,258264225 Dl.O(d2) = 258242701,87686099,101657650,115701559,260702290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052805, s2 = 6965975, dlinesl.size( ) = 26 s1 = 14049021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14640409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990000, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6446718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 653432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11071044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13300509, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10340705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14241995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 454920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10173320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10173320, s2 = 13250590, int(edited[s2]) = 0 s1 = 10173320, s2 = 13250590, d1 = 10, d2 = 10 Dl.O(d1) = 269085495,9247163,9247167,9247299,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273116,2273112,3794904,6065265,9260503,13529959,18956457,22618776,254271184,30455952,30455951,39045219,256525816,33461530,25689453,19065381,13610866,13610867,255680437,33461533,42454488,52858351,259294714,254547139,2943062,1706763,1706764,2943156,4884307,7679499,4859254,2928353,2928356,4859263,4859242,4859241,7679472,11542978,16560216,15799165,15799164,21873864,29185092,29185091,26215338,19501781,19501782,26215340,22764483,16551153,16551152,22764480,30152287,38734083,256442024,268298793,254926126,25554540,23158651,17545304,12375796,8362878,8362882,12375810 Dl.O(d2) = 269085495,9247163,9247167,9247299,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273116,2273112,3794904,6065265,9260503,13529959,18956457,22618776,254271184,30455952,30455951,39045219,256525816,33461530,25689453,19065381,13610866,13610867,255680437,33461533,42454488,52858351,259294714,254547139,2943062,1706763,1706764,2943156,4884307,7679499,4859254,2928353,2928356,4859263,4859242,4859241,7679472,11542978,16560216,15799165,15799164,21873864,29185092,29185091,26215338,19501781,19501782,26215340,22764483,16551153,16551152,22764480,30152287,38734083,256442024,268298793,254926126,25554540,23158651,17545304,12375796,8362878,8362882,12375810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10173320, s2 = 13250590, dlinesl.size( ) = 2 s1 = 10173320, s2 = 13250590, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10173320, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 13624591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873738, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8099360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6822142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6822142, s2 = 3975784, int(edited[s2]) = 0 s1 = 6822142, s2 = 3975784, d1 = 47, d2 = 25 Dl.O(d1) = 258870466,64783082,52863736,52863737,48410132,40450815,31755934,254916934,50487101,60320422,256634668,30408694,255510210,16409152,11425273,254370408,4804131,7475826,7594992,4804250,4804249,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478116,11425804,11425803,16409972,22592745,16409680,16409682,22592755,25412416,18821026,18821029,22591439,16408787,11425069,11425070,14083963,18821596,15158755,10454101,10454102,15158758,15158864,21103466,18821245,254509656,18997066,18997067,25609839,21069352,15134259,10438094,10438096,15134265,21069354,254229098,11425577,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,21750328,21750325,24235373,29688124,22335586,16188031,11252414,11252417,16188046,22335526,29688024,33153915,25412744,18821016,18821015,25412738,33153904,42108430,40433845,31739577,24230303,24230305,31739587,40433856,39817310,39817308,49840858,50471331,50471333,47465852,37558823,37558822,47465846,58850349,49086900,40433902,40433903,50471386,49401885,49401884,60802618,61974157,50481844,40445512,40445509,50481838,58849609,47464793,46693813,36810494,36810493,36810518,36506228,36506229,46364544,38625631,36810543,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,37582288,47487486,47493881,37589412,29041816,29041817,256894481,58874249,258020008,61968012,61968011,74767070,84289920,257474236,37594803,29047042,21753687,15700090,15700089 Dl.O(d2) = 143664922,143664923,130339679,130339680,143664924,156195262,260860088,261229606,261428208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6822142, s2 = 3975784, dlinesl.size( ) = 2 s1 = 6822142, s2 = 3975784, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6822142, Dl.E( ) = 52, 2.48e-05 seconds used appending s1 = 13337971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 745839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 745839, s2 = 7989953, int(edited[s2]) = 0 s1 = 745839, s2 = 7989953, d1 = 61, d2 = 58 Dl.O(d1) = 18981739,18981740,25591026,33351540,42333053,48154162,48762433,38842802,38842801,41388055,32537565,32537566,38128713,38128714,30666982,23251514,16988540,16988539,23251511,30666979,37845366,31327535,23836306,17496839,12336869,8334281,5379055,254593471,12336860,17496821,23836289,31254581,32447490,32447489,36990095,36990096,255745700,22218270,22218269,22218275,29563873,255309842,48042769,39936960,31261905,30430299,23024478,16783045,255128082,30430302,24208978,24208977,254808076,40408882,40408881,37530948,37530947,47439101,38595334,30022641,30022640,31716718,31716713,31716712,26995497,20104575,20104576,26995499,25460009,25460008,24209110,17838995,17838994,21304159,27977620,20814100,14918000,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,18860030,20816984,14920229,14920230,20816989,268492786,30733361,30733360,255664866,30733417,256128952,30734914,23315724,23315725,30734916,32040390,24476277,24476278,30049467,26995420,26995421,20817021,20817022,27981026,36440147,29534712,22191544,16063550,11153983,11153984,16063556,11962132,8007501,8007498,8007697,8007698,11962499,17052357,23315242,23315243,30734350,39332295,39333164,30735500,30735501,30735509,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652981,256425421,30734985,23315830,268426093,255976843,17050274,17050273,23312943,22652993,16461074,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599094,39331694,30734485,268662083,49258065,256338138,38043894,29480748,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327200,29678383,30665438,33209786,27127059,20222145,16181433,16181431,22143201,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,12483855,12483854,17654720,23998868,31496239,34090544,37841021,34090521,29481030,28388078,28388079,29481309,22143536,16025365,16025364,22143530,29481298,38044419,29482526,22144496,22144497,23881970,22008966,15907591,11028917,7303280,4607738,4607739,4662474,2808935,1629519,1629515,2808925,4662447,2843311,1649399,1649400,938402,528921,528922,938404,938416,1649563,938459,528955,528956,938462,1649830,1649831,1650161,938405,938406,1649785,1649786,1649777,1649776,938411,528929,254124333,938145,938144,254237759,3446178,2040477,1169322,1169321,2040474,3446174,5562217,7490134,4733712,2852297,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285754,509758,903827,1563054,888610,888609,889087,889086,1077340,605100,336784,336785,605106,1077352,1888187,3221769,2753443,1596175,907406,907404,1596169,2753437,1903709,1884293,1884292,3216279,5260990,5297605,7575468,8202158,7821854,4963990,4963989,5239867,3198928,3198927,1896852,1082651,1082652,1896853,3233868,5280620,8209859,5320732,3269535,1922462,254397609,3247063,1906037,1906036,3222183,1905588,1903551,1903550,1914939,1886420,1886419,3219295,3212225,3212222,1886463,1076316,1068123,1068124,1872626,3198880,3221459,1887987,1887986,3221454,1893979,1080959,1080958,1609463,915728,915726,1085160,1609466,1609465,1616481,1894875,1081469,1081470,1894878,1874118,1874116,1080027,1080026,1068771,1068772,267797393,254132945,337133,185227,101353,55841,55843,100846,55620,55618,100814,100812,183980,334477,334430,334431,337260,334811,184138,100884,100886,184144,185304,185303,337287,606099,1079101,1069830,1069827,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882522,1914005,1871964,1871963,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914888,1608164,254123077,518272,918960,1615794,254348177,4627742,2787525,1617130,1617131,2787526,4627744,254580089,3207799,1878615,1878614,3207796,5250397,5260365,3215734,1883948,1074791,1074790,1883946,3215732,3235750,3002422,1743680,1113575,624918,557309,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Dl.O(d2) = 256544398,17748376,12558216,8514319,8514317,5530576,3416364,2016828,2016829,3416366,5530580,5597869,5501709,3391259,3391260,5501710,8500109,5541589,3426907,2025200,1159116,1140245,639670,639671,750402,750406,1314837,2266628,3783715,5544250,5544249,254409843,267772849,636935,636936,1135142,1135140,653631,653632,1164773,2003050,1145019,642292,362525,362521,268165178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 745839, s2 = 7989953, dlinesl.size( ) = 24 s1 = 8094442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9838585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7864607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9403566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 632534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 632534, s2 = 10349658, int(edited[s2]) = 0 s1 = 632534, s2 = 10349658, d1 = 1, d2 = 5 Dl.O(d1) = 16193330,16193331,22341930,16193319,11256591,11256592,16193326,22341915,255011362,22341769,29695224,255800138,59557397,62953787,51279358,41100932,32291590,28418044,255095716,10507402,14240040 Dl.O(d2) = 50248074,52868754,49365164,39436096,30831832,30831833,37238514,37238513,37238521,30831875,30831876,30833357,30831652,30831654,23403755,23403756,30831539,23403357,255009188,17130421,23403337,30831516,39435734,49364882,49364896,39436082,39435707,30831497,30831498,39435711,49364856,39435776,30831553,30831552,39435772,49364916,49364966,268664351,23403508,17130527,12038878,12038879,17130528,23403511,30831801,39436067,38999311,30410320,30410321,30831882,30831883,30831888,39436150,49365244,48524876,39435965,30831723,30831722,39435962,39435950,39435949,30831709,30831710,30831508,23403331,23403330,30831505,39435722,39436431,39436432,49365483,60767736,49364852,39435704,39435703,43874939,41742676,41742677,49365181,39436078,30831813,23403521,23403517,17130532,17130533,23403519,30831791,30831792,39436057,49365158,60767877,49365126,256485251,30831753,30832096,30832097,39436356,49365200,49365198,49365094,39436114,30831846,23403539,17130551,17130550,21946916,21946915,29269266,37835311,39435885,30831648,30831647,30831714,30832478,39436724,39435944,39435942,34604530,26616855,19807859,14188221,14188220,18566731,25117552,23403831,23403828,30832256,23403804,23403805,30832259,30832272,23403809,17130685,17130690,23403822,30832204,23403774,23403775,30832211,39436322,30832419,23403916,17130746,17130748,23403925,30832426,39436674,39436999,30832804,30832805,35105317,44481982,41777600,32857006,25150155,18593418,18593419,25150160,25117542,23405046,23405044,30832875,30832876,39436692,30832449,23403935,23403937,30832457,37836617,29270473,29270472,29505035,26616810,23405032,23405033,23405050,23201205,16931748,16931750,23201212,30623250,30832284,30832286,39436541,49365412,39436334,30832075,23403681,17130618,17130619,23403687,30832088,35388963,39437700,36431955,27972998,27972996,30832372,39436616,44813660,47759086,37836646,37836645,32856996,32856995,32857010,35106650,39220605,30623272,23404260,23404259,23404295,30832941,29926620,29926621,38487351,37836620,29270474,22165269,16042898,16042897,12039404,12039405,17131446,16931765,11850277,11850275,16931755,23201222,30623265,30832931,39436352,39437453,30833345,30833344,39437449,37836606,30833254,30832897,27263483,23404908,23404912,30833686,30833488,30833490,35220483,29270508,21947940,21947941,29270510,30832168,30832167,30833196,23404503,23404505,23404272,17130961,12039117,8093675,5185401,5185402,8093801,12039346,17131358,23404896,30833668,30833212,30832969,23404314,17130979,17130980,23404318,30832971,30623231,30623230,39220557,39436454,39436453,39437555,30833465,30833464,39437357,30833220,30833222,39437107,30832913,23404284,23404285,23404687,23404688,30833426,23404804,23404803,30833561,23404822,21947932,21947931,255535317,12039265,8093836,5185419,3163528,1851881,1851880,3163525,5185411,8093820,8093729,5185361,5185360,8093723,12039201,17131105,17130859,12039051,12039052,17130864,17131316,23404831,27263495,20329016,20329014,23404726,17131256,17131255,23404723,29893908,23404709,23404711,30833381,23404650,17131209,17131211,22281581,22281582,22281577,22281576,17131176,17131179,17131188,23404621,23872648,23872649,30833777,23405009,17131424,12039394,12039393,12039310,8093782,5185390,5185391,8093789,8093807,12039364,17131377,23404456,17131089,17131090,17131093,23404471,23404093,23404094,17131332,12039334,12039331,17131322,23404842,22539029,22539027,29894236,38451044,29894073,22538920,22538918,22538923,29894078,22539096,22539097,29894352,38451045,38200653,38200654,39437734,39437353,30833310,30833309,39437419,30833317,30833316,39437426,30833759,23404994,17131412,12039388,12039389,17131416,17131274,12039296,12039297,12039359,12039358,17131371,23404934,22539154,16364342,16364341,22539152,29894413,38451392,48353267,59736554,48352952,38451005,29894253,22539035,16364285,16364275,16364230,11388005,7565667,7565666,11388001,16364222,22538849,16364319,16364320,22539108,29894360,38451233,38451212,29894226,29894227,35105307,35105306,37352272,29893893,29139768,29139769,37700533,30833750,30833735,23404982,23404983,30833740,30833512,23404757,23404758,29894244,28813560,21545428,21545430,28813565,37352352,29002462,29002463,37548292,33738363,25931585,25931586,30832596,30832595,29894094,22538940,16364234,11388035,7565684,4783764,2882605,2882604,4783749,7565651,7565711,7565713,11388088,16364361,22539186,29894463,37701692,37701704,37701705,38451304,30832742,23404136,23404137,29894021,22538878,22538877,29894018,38450974,48352739,38451325,38451326,48353220,48353272,59736746,71388693,58653650,47261918,37352354,255844085,15528317,15528316,268386925,256877405,58653658,59027471,48352896,38450963,29894011,29894012,38450965,48352900,55693729,44786435,44786436,55693731,58653653,58653652,48353090,38451141,29894168,256413851,48353086,59736648,258145765,84963446,71388702,68091568,68091569,68091574,59736646,48353078,48353079,48353068,48353029,48353028,58653639,58653634,58653635,48352933,48352934,38451095,38451097,48353048,59736544,48352938,48352939,48352975,38451049,38451050,48352982,59026004,47622850,47622848,48596004,38679648,38679651,48596010,59736660,58841744,47456169,37548271,37548272,47456172,38451380,38451379,34127461,34127463,43215208,53727153,61877378,59736690,48353143,38451199,29894219,29894218,38451192,48353138,59736680,61877386,61877385,59736635,59736636,55693886,44786652,44786651,55693881,68091650,71769470,66844586,54585088,54585089,59736464,59026128,47622993,47622994,43841121,43841119,54585790,66844908,59025992,47622971,37699812,37699807,37699808,47622965,54585538,54585653,47623002,37699833,29835841,22468813,22468814,29835844,38408017,48318808,59705556,71769438,80274583,72471854,59736686,59026161,47623045,37699891,37699892,47623048,50387846,50387845,47623109,37699960,37699959,47623107,55693908,55693909,47623382,37700297,37700296,47623378,47623062,47623063,43841132,34569295,26582548,26582544,34569283,37700053,47622839,59025982,54585679,43841001,43841002,54585595,43840966,43840967,44786519,47623398,53727120,54585664,54584912,47963055,38049979,29486451,29486452,38049984,37699908,29139145,29139143,37699904,29139475,29139473,34569153,26582457,26582456,34569151,37699914,37699916,47622885,59026028,59026151,55693916,44786680,37699896,29139137,29139138,29139502,27239479,21831705,21831706,15763243,15763242,21831718,21831812,29139278,37699983,34127436,255760578,19541689,26261299,34127438,37700074,255760580,59026288,49413018,39483238,256087430,30877760,39483235,256600008,29139188,29139187,37699969,37700701,37700687,37700686,47623674,47623094,37699951,37699952,37700416,37700415,37699953,37699954,47623102,59026192,47623131,37699979,37699978,47623127,59026216,49413011,39483230,37700442,29139647,29139646,37700438,46723499,37700422,29139631,21832090,268393443,37700425,37700093,37700094,256900137,29139693,21832160,15763567,15763566,21832157,29139689,29139698,29139699,37700475,37700704,29139941,21832396,15763756,10917254,10917252,15763753,21832389,29139930,29139621,21832083,21832084,29139451,29139452,37700244,257480037,59026210,47623121,47623120,59026208,59026264,47623343,37700239,29139449,29139448,37700237,37700660,47623257,37700133,37700132,255864365,21832275,29139810,29138848,21831493,15763091,10916789,254512373,4548884,7219826,4549095,4549096,7220193,10917394,10916916,10916915,7220251,4549129,4549130,7220255,10917513,10917597,10916548,7219660,7219659,10916543,7219735,7219737,7219748,7219749,4549067,4549066,7220135,10917313,15763025,10917776,7220436,7220438,10917782,10917200,7220521,4549287,2734628,1584563,900839,508154,284945,284944,508147,900823,1584535,2734572,4549176,4548898,2734438,1584478,1584480,2734450,2734537,2734536,4549105,7220198,10917411,15762351,10917481,7220240,7220241,10916180,7219435,7219434,10916174,15762195,15764232,15764231,21832917,29138866,21831510,21831509,15763997,15763123,10916815,10916818,10916587,7219689,4548807,2734402,1584457,900790,900793,1584469,2734419,4548850,7219776,10916729,15762186,15762185,15762512,15762511,15762703,10916489,7219633,7219631,10916500,10917832,7220470,4549254,4549253,7220464,10917825,15763056,10917365,10917364,15763881,15762208,10916184,10916153,10916155,15762172,21830452,29137904,29138538,21831201,21830761,21830762,15764218,15762737,15762738,21831107,29138467,37699184,255243100,255056675,10916510,15762721,21831084,29138438,29137856,21830398,21830397,21831032,21831031,255429283,10916380,10916379,15762517,21830850,21830716,15762421,15762420,21830713,16233906,11285872,7492539,7492538,11285869,16233896,22393874,29754546,37701977,37701976,37699166,29138409,29138408,37699164,38637429,38637428,48551950,59025495,47622103,47622102,268955036,27137486,27137485,35232226,44613575,37420182,37420176,28878550,21603231,15762564,15762565,21830895,28384759,28384758,36881348,38324000,29754468,29754469,28384725,28384724,36881292,46760076,58128446,57872741,257322982,38637402,30063226,22685627,16486362,11486799,11486800,16486365,22685634,30063246,38637424,48551942,46516815,36649621,36649620,46516810,37698997,29138218,29138217,28384686,28384685,36881253,44613579,44613578,46516845,57872681,58128474,58128424,46760143,36881375,28384774,21166730,15209577,10491679,10491678,15209571,21166718,28384752,36649555,36649556,35388902,35388904,36649898,36649900,36649748,36649747,46516966,40127642,31447851,256529823,50149197,49923581,46516692,46516695,46516956,36649738,36649739,37354808,36649732,36649734,46516950,46516939,37354814,37354815,46516878,46516877,46517012,46517011,39156176,39156177,49085949,46516867,36649656,28173996,28173974,28173973,36649617,46516805,256900079,256900077,49085922,49085921,60489069,55720195,44813614,44813612,44813605,44813604,55720186,68116551,60489041,58656406,47264516,46517083,268603067,28174127,21547063,15529454,10740396,10740397,15529456,21547066,28815712,28174006,28174007,30558711,30558710,39156101,46516541,36649881,28174143,28174142,30558806,23141629,23141630,30558810,28174434,28174433,36650139,36649857,36649858,28174440,28174439,30620215,30620216,39217400,36649833,28174105,20992853,15078995,15078994,20992849,20993043,20993013,20993014,28174322,36649875,28174139,20992872,15079005,15079004,16881246,11810952,11810951,16881354,16881421,16881420,23141583,23141604,17783830,16881382,16881381,23141537,23244861,30662387,39258303,39155997,30558591,23141413,16881287,16881289,20992984,20993104,15079170,10400777,6856121,4302763,4302764,6856125,10400784,15079183,16929744,16929746,23198621,30620225,255088756,30558509,23141462,16881320,16881321,20993000,15079094,15079095,16881309,11810917,11810916,7889350,5010606,3029710,1762816,1004289,565938,565940,1004298,1762830,3029738,5010663,5010679,5010676,7889471,11811097,11891569,16978365,23244852,23422009,17145017,12049372,8100760,8100763,12049379,255386554,254761804,21505049,21505051,23225033,268660037,35181532,27092742,20193919,20193920,27092743,35181534,257318545,257629619,256500493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 632534, s2 = 10349658, dlinesl.size( ) = 2 s1 = 632534, s2 = 10349658, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 632534, Dl.E( ) = 8, 1.31e-05 seconds used appending s1 = 9797817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13270181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13270181, s2 = 7556379, int(edited[s2]) = 0 s1 = 13270181, s2 = 7556379, d1 = 21, d2 = 14 Dl.O(d1) = 8270594,5336820,254588451,3280450,267843655,254401159,5330895,5335948,254588363,5326383,5326381,5335722,5335734,5335733,5363781,8264469,8268674,5335295,5335294,8268670,7460537,7460536,5332659,5332660,8265133,8265991,12238896,12238897,8303994,5357896,3293556,1937065,1927596,1927595,3277123,5331487,8263593,5360290,5360289,5363029,5330535,3276533,1927244,1101169,1101168,1927238,3276522,3277136,3299128,3299131,5366458,5336062,5336059,8269590,12238300,8263929,5331723,3277242,3277245,4708876,7452877,11231486,8287774,8287776,7799347,4945870,2985066,1733062,1160009,1160008,2026492,3428348,5542825,8544765,12294791,12240932,12240930,12241967,8267388,5575553,5575551,8263571,8257491,5327143,5327147,8257506,254697224,17732934,12546410,255193239,23739168,31222626,255310210,22310915,16164299,11231405,7452810,7452811,11231406 Dl.O(d2) = 267849243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13270181, s2 = 7556379, dlinesl.size( ) = 2 s1 = 13270181, s2 = 7556379, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13270181, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 14128777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 207169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 207169, s2 = 423204, int(edited[s2]) = 0 s1 = 207169, s2 = 423204, d1 = 0, d2 = 3 Dl.O(d1) = 4943098,4943099,7795498,254385418 Dl.O(d2) = 10760796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 207169, s2 = 423204, dlinesl.size( ) = 2 s1 = 207169, s2 = 423204, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 207169, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 18396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13331995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13331995, s2 = 10341743, int(edited[s2]) = 0 s1 = 13331995, s2 = 10341743, d1 = 98, d2 = 101 Dl.O(d1) = 59688832,48302162,39172559,30574778,23157548,23157547,30574774,39172552,49102845,60506990,72958594,60218770,48821723,38899659,38899658,47656258,37734523,37734524,47656260,59056672,71797394,85385699,86558140,72958583,60218760,60218759,72958581,70539953,70539952,84076919,97950751,91977260,91977259,95668103,81634653,68144520,68144519,60218764,48821718,38899656,38899655,48821717,42517722,33517740,25738192,25738193,33517742,38899662,48821729,44838936,44838935,55746664,68144504,81634638,95668091,95668097,98878600,84953051,256154138,49305709,39378019,30776504,23352707,254851454,11979799,254403226,10815863,8051481,5142147,3127960,1832364,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378 Dl.O(d2) = 5115191,8026082,7529495,7529496,8037235,8037234,8019553,8019554,11330103,16287421,17008119,11977767,8024936,7527471,7527472,8046761,5136843,5136844,8046765,8047940,8047937,11995837,16284621,16284622,16956271,15311740,15311739,21272888,17103615,12018132,12018133,11939334,254130048,7523135,7523134,11326923,12018229,8077476,8077475,7523433,7523432,11327293,10833864,7161547,4510522,254508027,10771444,15572227,17103003,17103002,21600556,254339298,38830624,48750707,60145086,51997538,51997537,58458413,58458412,62210188,50690514,50690513,58458457,47080374,37185131,28664181,21418386,15427923,10665475,7043810,4432885,4432886,7043813,7043808,7043809,10665473,15427919,21418380,28664174,269781581,85199952,71635139,58914482,47533203,47533204,53161986,268761343,25876328,21777762,21777761,29075680,37626533,47532979,58914226,59457307,59457306 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2244830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11019200, s2 = 14083386, int(edited[s2]) = 0 s1 = 11019200, s2 = 14083386, d1 = 13, d2 = 0 Dl.O(d1) = 268198621,4243697,2537316,2537313,4243713,5373471,8326086,12325682,10327934,9093675,9093677,10314628,6797976,5588538,5588537,254876133,258137068,15913092,15913197,15913196,22014770,22014915,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491902,8491302,12530243,16474928,16474929,15338996,15338997,21308868,22670779,30046051,29613829,254332780,28533497,23832535,23832534,31322974,31705169,29347121,22015095,22015093,22670726,17828349,12623669,8569834,5565600,5565598,8569830,12623653,8569824,8569823,12623650,17828320,24197569,23037253,23037252,28532252,21309574,15339690,15339689,21309572,254224744,8225380,8225381,254838895,254838893,2840312,254497890,11241113,16173693,22318720,29669983,38235377,29828248,22460968,16293123,11336083,7533177,7533178,7533241,255915295,21572464,17001188,13361576,13361577,18764008,25344781,33074887,42018344,42019995,40355324,31660383,24149947,255196355,5536023,5536024,8538062,12585676,17782921,256038457,40355378,50390269,61879937,50390262,40355372,40355371,50390214,61879905,74672061,72979033,71444587,59138261,47739640,47739639,48849480,48849479,60242967,61879908,50390216,40355330,255454586,24149953,31660393,40355333,41661018,32750178,25058457,18520156,13158946,13158945,18520154,25058452,32750170,41661012,47739379,37817031,37817032,255063494,40918794,46506514,40918790,40918792,51059405,60242968,58125035,46756691,36877996,28381732,28381731,36877993,29890541,22535897,16361860,11386393,7564686,4783137,2882234,1672405,951420,951423,1056844,1851841,3163443,5185241,8093500,5426520,5426518,8409318,11386813,15336378,10592377,6987569,6987567,10592369,15336362,21305733,28527853,37025833,267979694,16363083,15523141,10735944,10735945,15523146,21538786,268617075,30831415,23403270,17130371,12038787,12038788,255106934,17130284,23403173,28805776,21538982,21538624,21538623,28805433,37343560,28806212,21539346,21539345,28805623,268617095,15523539,10736188,10736187,15523535,21539366,16362544,11386850,7564975,7564978,7565028,11386948,15336221,15336222,21305561,22536853,22536850,28805650,28805649,28805661,28805567,21538751,21538750,255411049,15523111,268386771,37343668,38619267,30045272,22669854,22669853,30045270,28334608,28334609,30047991,37343458,36795156,28806163,28806161,37343377,28993211,21708860,20923191,20923192,28098584,30529219,39127592,48087781,38175790,37950963,29536245,22193002,16064675,255454457,16466076,11472745,11472746,16466080,22660046,28297504,29892043,22537250,22537249,29892038,38448778,47253557,37344002,37344003,36794692,28297833,27238476,21090007,21090008,28297736,28297693,28297692,21539118,21539119,28805932,36795239,36795238,46681133,46434273,36569713,29386386,29386384,30363341,38175782,29608987,22258629,16119217,16119216,22258627,255486664,255454480,36734175,46622366,256388156,46622359,36734169,28239350,28239351,22660158,22660159,30035224,37343982,36794733,28297602,21089930,15149142,10448076,6887732,4324112,4324111,6887728,10448069,7340940,4636870,4636871,7340947,11071033,11129797,11129798,16029147,11387115,7565122,7565123,11387119,16362944,21089876,28297517,22829588,22829586,22963578,22963581,30365612,36734182,46622374,46680624,46680722,38609433,36795072,28297890,21090092,15149228,15149227,21090086,28297883,30035257,22660178,16466191,16466190,22660172,30035249,38609468,39387402,38485858,29925404,22565605,16385461,11404045,7578160,4793346,2889447,2889448,4793352,7578168,11404058,16362936,22537267,22148078,21089962,15149162,15149163,21089966,23381501,30810010,39415245,268940907,29537410,23379501,17109497,17109500,23379503,30807787,30879130,268222348,17172498,23448410,268429165,17172523,12074300,12074299,17172521,23448450,23310397,17048533,11960186,8006427,254820697,17048526,16385404,11404052,11404053,16385472,22565628,29925445,38485899,38271857,36794811,36794810,28814360,21546081,21546082,23381483,17111151,12024554,12024553,17111143,23381471,30809980,36610346,30807779,255454510,48010861,48010860,255892170,39412829,256930470,39406592,39406591,49336202,50500238,40464133,31769386,24257217,24257215,30728409,30728408,39326115,49252270,49336227,39406634,30801940,30801941,30807712,23379465,17109483,17109482,23379462,30807733,38099951,29536172,255106352,48010846,39326097,30728394,29630873,22279020,22279018,29630867,29536202,29536204,29925479,29925480,255891988,38100581,30801883,268402408,23374455,23374456,30801889,23374388,23374387,30728397,39326102,49252261,268940884,39326103,49252263,258120250,39412863,30807731,23379459,17109480,17105201,17105202,23374425,30801945,38185722,48097267,59486196,48108766,48108767,59496961,72232826,258127959,48108772,48108773,59496969,48108777,48108775,258127961,49336182,39406549,255981217,17105176,12019480,8078819,5173844,5173845,8078822,12019486,17105186,23374395,30801899,29618944,29618943,38185936,48097417,39406515,30801831,29630469,29630068,22278255,16135390,16135389,268224115,11208996,7437360,7437359,11208992,16135802,22279042,22279123,29630980,38197622,48108762,48108732,256396267,29630921,38057022,38057021,38196777,29630272,29630271,29631102,22279243,22278762,16135640,11208899,11208900,11209264,16136206,22278866,16135701,16135700,22278863,22278845,22278846,22278851,22278852,29630695,257510614,29492980,22153927,16033672,11132959,11132958,255451995,268402639,11209175,11209179,16135142,22277842,19807076,14187682,14187681,16136341,16136342,22279753,29631624,29493298,29493299,29631830,22280007,21314436,15343911,15343910,21314432,22154352,23115324,21576097,15552758,15552757,21314195,254771316,255460516,23114815,16855554,11788511,7871701,7871702,11788513,16855555,23114816,30533513,39132236,255899106,23115180,16855979,16855977,16477984,255083514,255454262,11788605,7871765,7871764,11788602,268012478,21314196,28537225,28847831,28847830,254771292,37388042,28847925,28847926,37388044,255083360,22186553,16059445,15552952,15552953,11789033,7872105,7872106,11150628,7395824,7395825,255077991,22186249,29528696,22266689,16125460,11201591,7432579,7432578,11201605,7872127,7872130,7397359,7397358,11152667,16061818,15981216,15551397,15551398,15551903,15551902,21575116,28847000,37386840,268222224,255042763,10755850,7106578,4474179,2687978,2687977,4474177,254557481,4672223,2814834,1633036,1633037,2814836,4672227,7395844,254525094,4997312,7871841,11788727,16855792,254350944,15551177,10755594,254123582,7105784,4473656,2687695,2687696,2687821,1556908,1556906,2687815,2815480,4673266,4672393,4474018,2687892,1556946,885138,499403,280063,280061,499410,885152,1556978,2687962,4474146,7106535,10756499,11151200,11153951,11153954,15550920,11788412,11788413,15551869,10756120,10756118,15507618,11297505,11297508,16229893,11282545,11282546,11296682,15551388,21574574,16060762,15552023,10756229,7871825,4997298,4997296,4825557,2908004,1686921,1686923,2908007,4825566,7627036,11151759,10490163,10490164,15207678,21164269,28381736,36878001,38101380,29890542,254361368,48349373,41661008,41661007,50642741,50642742,48521633,38606651,38606650,48521632,59399523,48011995,38101388,29537782,22194648,22194647,255927838,48011988,59399520,48349374,48349375,58125038,255454588,48011984,38101382,38101381,48011982,59399513,267979566,48349377,59733477,48521636,38606653,30032914,255892270 Dl.O(d2) = 10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,3668842,3668838,5875926,9000193,13202256,17416301,21698499,21698500,28980676,37524420,34972901,26893965,20012715,255736445,26893973,34972912,44350113,55200478,63206387,51496194,51496193,63206385,76217393,259266248,51496192,58670370,47279143,47279142,58670368,71404528,58882933,58882932,71602771,81013887,67544219,55200476,55200477,67544221,58882934,58882935,58882938,58882939,258159078,71404526,258782934,58670365,58670364,58882937,47503692,37599764,29051691,21757452,255860025,37599765,257474903,256969340,30032954,38606714,48521711,258159083,71404525,257458275,37369578,37369579,28829488,255412345,15537774,21558556,28829491,37369587,255927840,59915068,48521710,257550130,256426150,47466881,37559997,29013635,268621275,47172732,58561710,58270849,256853175,37028439,257085052,47466937,37560089,255857305,15680274,11536659,11536660,16551861,22765321,30153241,38735156,37553833,256892117,28530425,21307916,15337997,15337994,11283005,11283006,16230390,22389349,255366903,10343718,11585851,16611112,22765310,16551854,256323581,28652309,37169581,47061298,47279152,47279151,58670377,71404531,72481402,72481403,71602765,58882919,47503680,47503679,47503688,47503689,58882931,71602762,60095389,256863952,16585906,16585907,22802936,30193167,38777097,48699335,48363756,38462104,29904886,255477355,16372525,22548815,29904895,38462110,48363764,58882941,47503695,256353689,21757454,15702736,10870257,7187096,4527910,4527909,7187093,10870254,15702734,268391243,29904890,22548812,22548813,23279469,30694689,30694709,23279487,17020797,17020798,23279489,30694710,39292211,255507334,29441645,268661207,23279485,17020796,255527291,30223663,38806845,48727466,269832728,6404017,6404018,9738752,9738712,9738711,11220981,7445293,7445292,6404024,6404022,9738758,14165707,15694655,21746326,24250478,17873131,12656882,8593104,8593106,12656893,16152171,16152173,17873119,22293060,16148425,11218932,7443991,4703435,4703433,7183487,7183486,10864866,15694597,21746238,22170464,22292900,22296923,16151800,16151801,17058356,23323851,29649392,22297536,22297118,22292966,16148341,11218876,11218877,16148344,15694405,10864761,7183423,4525529,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,37585795,29038222,21746010,15694423,15694421,21746005,29038212,37585786,39219431,30622290,23200475,23200474,29038457,35307899,27188246,20264415,14539326,14539327,20264420,21746065,23787876,27094330,20195234,14490292,14490294,20195239,257467105,28955599,37498208,38482324,256401638,22562866,256294027,40461192,256011272,49324153,60726328,51337378,41152052,36521458,36521457,46380956,57731045,49083363,49083364,39156815,39156814,49086441,49324144,39396037,30793319,23367174,17097990,12011456,12011457,17097993,23367177,22755574,22755575,30141502,38721099,48638911,59814838,48428901,38521228,256961807,59814835,59814852,59814850,48428912,38521265,38521264,48428913,38521243,38521242,38521226,29956256,22591971,16409132,11425259,7594751,4804126,4804127,7594752,11425261,16409136,22591977,29956255,38521224,38521247,38521215,38521216,38281368,38281369,38521255,38521261,48428923,268967343,39116073,49045686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11019200, s2 = 14083386, dlinesl.size( ) = 2 s1 = 11019200, s2 = 14083386, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11019200, Dl.E( ) = 18, 2.6e-05 seconds used appending s1 = 10980110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980110, s2 = 11423003, int(edited[s2]) = 0 s1 = 10980110, s2 = 11423003, d1 = 3, d2 = 1 Dl.O(d1) = 31445520,31447517,31447541,23955156,23955157,31447543,31447369,23954999,23954998,31447367,31449634,31446983,23961421,23961422,31447132,23954808,23954807,31447125,40126928,40126934,33734286,33734287,33151701,25411013,18819810,18819812,25411010,31456969,31448167,31448168,31456973,31447534,30353111,22951362,22951364,17613715,17613713,22167815,29508388,38072178,31458165,23963339,23963338,31458163,25411234,25411233,33151994,42106022,52458214,64325421,77489572,89287540,89287541,103375605,101512954,259480695,73950762,73950761,87551048,101512952,115546021,129426790,142748685,260904807,120925608,120925613,106672997,92368995,92368996,92368997,92368994,78336168,65057151,53074642,42627083,33602477,33602478,35002405,258524083,95100108,109354665,123546719,123546720,127406400,259977199,71992289,59255773,47859469,37940284,29374352,22043546,15940671,15940672,22043547,29374354,37940286,47859470,59255774,258733787,99525419,260577339,140762039,153442007,262698909,185429051,193705605,200802089,206790864,211739020,215782202,219125924,265383961,226478495,265277112,225494545,223244145,220641962,217582874,213917491,209453206,204012158,197490065,261930880,170823101,159491142,147128784,133903929,120060327,105847901,91640167,77713207,64532216,256603706,256132155,25508174,256205633,37244536,37244535,256869725,269503738,14540786,10004393,6574444,4118289,4118290,6574447,255757635,35310457,39745488,39745487,49764016,61242856,74023220,61242848,61242849,270151417,35311165,44730534,55628536,44730540,35311171,35311170,37938590,35311149,27191472,27191456,256234755,256761399,27191479,27191480,27191477,20267143,20267142,27191476,28831565,28831566,37371144,28831580,21561041,15540010,10747409,7100576,254168202,1555962,884671,884672,1555964,2686022,4470647,7100593,10747434,7769329,4922677,2968560,1722244,978883,551137,551136,978880,1722221,978870,978872,1722226,267737318,7769229,11657798,16697057,16226003,11279622,11279623,11381074,11376850,7558328,4779416,2880267,2880268,2686986,2686985,4472358,7103539,10751999,11369756,11369757,11380017,254583764,21102580,17261915,12484139,12484140,12210994,12210993,17336854,15628597,10814883,10814884,15628601,16323799,22497891,29860893,29860892,30804939,23376873,23376872,30804935,38424593,30166157,22777043,22777042,23614662,22501773,16327504,11359250,7546920,4773054,4773053,7546912,7839882,7839881,7839847,4976632,4976631,7839843,11742408,16793978,23038648,30446403,29414389,22084179,22084178,23599622,267995138,11352232,11351303,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310730,22482185,28121492,28121491,29856920,29414372,254760240,15978134,254520060,29349733,29856355,29856354,38416375,38416376,37016052,37016053,40042538,37919145,29351173,22019614,22019615,29351175,29839516,22487925,22471969,22471968,16306751,16306752,22477386,28518616,21297706,15330297,15330295,16334905,20303861,17274524,17274525,17274512,17274513,15923393,11046056,11046054,15923390,22024565,29355342,23656214,22023258,22023259,28301513,21092899,17076472,11989459,8041211,5131661,3119664,3119665,254233672,267888634,11798674,7879889,5003662,5003665,5235449,5235447,3230726,3230729,5276679,8205503,8206011,11378047,11378046,16350915,20188161,14484791,9966166,9966167,14484795,20188164,16355274,11381777,11381776,7562484,7562485,7103879,4472564,2687092,2687091,4472560,7103861,4472549,254391098,10752542,15546891,21569170,22528547,22514041,17338295,12212360,12212359,11369344,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283865,11283925,11283924,15158142,15158144,16320590,16320589,22494183,22031241,20123165,20123162,22480003,16312295,254581856,29849430,29863708,22777579,22777580,30166553,267798228,23681136,17360976,12231304,12231303,17360974,23633539,31120138,38411997,38411998,31120560,29867995,29867996,254366442,22485170,16318155,11352990,7543351,7543352,11352991,11352625,11346516,7539841,7539840,11346512,16307805,22478610,29844950,255158654,22516075,29873731,36783794,28287259,21081207,15142667,15142666,21081206,16304516,16304515,22474504,29841702,37924279,30072589,22692654,22692653,28286642,254370800,22491801,22491804,28238194,28516060,23586185,23586186,22024785,22018668,22018666,22021577,22021576,29352937,23584086,23584084,22015777,22015774,22015905,21081174,15142643,10443728,6884842,6884840,10443721,9903347,9903350,14397807,20080965,22009972,15908397,11029681,7304155,7304156,11029669,14485353,11717647,11046038,7320717,4622151,2783325,2783323,4622144,7320696,11045996,15923308,20303227,15328289,10586966,6983985,6983984,10586961,15328281,21294951,23357756,23357755,22972849,16736362,11692935,11692934,16736358,20234690,27143055,35174956,27086789,20188697,20188699,27086790,23571155,17260057,12139954,8169443,8169445,12139228,11382587,11382589,15909217,11030573,11030571,15909200,22010764,15924471,11047289,11047290,15924472,15914573,11035913,7310370,4782187,4782186,7310424,7310425,7327373,11035925,7310409,4614014,2778344,2778342,4613961,4826292,4826291,7628178,4826371,2908485,2908484,4826368,7628266,7628264,11468203,16459249,20188418,14485041,9966359,9929554,9929557,14432684,11011551,11011550,11384833,11384834,16359651,20188349,16350248,11377600,11377601,14432708,9927914,6524764,4088188,2445794,1414159,804592,804593,1414167,2445806,4088206,6524799,9927988,14432817,20124585,22010216,15908670,254104586,4608944,4608943,4776056,7546311,11035206,7309937,7309935,7307858,4773460,4773461,7363618,5261326,3216601,1884524,1884522,3216590,5261300,8191899,12161543,15908345,11029648,7304139,7304140,11029650,15908347,15909334,12143123,8172479,8172478,12143122,17263596,23575039,22504182,16330111,16330108,11367926,11367925,16338544,16326088,11358205,11035329,11035328,7576797,4792222,4792224,5307834,5307836,7547675,7547719,7547718,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195859,8226114,8226111,12009544,8066715,8066714,12009542,17096277,22494565,17325810,12200442,8231427,5303198,3253989,3253988,5303191,8231409,12192344,16201483,11262466,11262467,16201486,19364484,19364485,26043338,29751627,38320922,48231267,47281758,267842034,21561985,15540759,15540758,10917637,10917636,15764268,21832961,29140586,37701456,47624434,44729921,35310433,27190662,27190663,28180670,28180671,36657009,46524561,257669272,57958861,57880829,57880828,57880841,57958851,46582278,46582279,57958855,70582278,57880835,57880833,70582274,84119312,70932599,257602666,62073220,74871184,88507148,91220598,259642807,119681950,133557276,146816094,159191157,170532175,180665887,189565734,197256134,203816351,207605963,201760325,194815887,186701824,177385211,166837013,155143358,142499034,129121696,115189784,269770720,258644608,129121702,142499038,155143363,166837018,177385219,186701826,194815889,201760329,263642618 Dl.O(d2) = 177471530,166934011,261315808,129244677,259533458,256545650,30918997,23481872,17198668,12093966,12093965,12890744,8767461,5709021,3552972,3552973,5709024,8767468,12890754,18176875,17615728,17615729,18851969,24112892,28471140,36969612,38004325,38004326,32729511,32729510,32227022,24630961,24630960,29441401,255781505,20803501,24392489,17992431,17992430,24392486,24630942,31925502,31925506,38004331,29441424,22107996,15996608,15996609,22107999,29441432,32227080,38004390,29441451,22108012,15996622,15996623,15996584,15996583,15996600,18506959,18506960,25041582,32227016,24630953,18176776,12890690,12890691,18176781,18506928,18176765,12890681,12890683,13148834,8961983,5850021,3651143,2183094,2183093,3651139,5850014,8961973,13148813,17992451,12752978,8667803,5639364,5639362,8667796,12752964,17992438,24392501,31925498,40641206,50700224,59313483,50397963,40362895,268447915,24158928,31668369,32729574,32729474,25041578,18506954,13148787,13148785,18506951,18506961,18506962,25041585,28291726,21085044,21085043,28291722,32729492,33312628,42292748,37528780,28984510,21701688,21701687,28984507,37528776,47436561,58823148,59313505,72048496,85636248,99586473,113601901,123518040,258282496,86537149,72939190,72939189,86537147,95071830,81012721,81012722,72998538,60263091,48870376,48870378,60263093,57665795,46321566,36468609,28009576,20844682,14944698,14944697,20844677,20844664,20844665,28009556,28009521,28009522,268901609,57665702,70355373,83880065,74491094,61708420,50227537,50227538,57665695,46321474,46321472,55355745,44509206,256271005,20844640,20844643,28009516,36468525,37926535,47846317,46321453,46321451,46321459,46321460,57665683,70355354,61708413,50227532,40205944,36468590,36468592,46321545,57665764,59243250,47846520,47846521,47846492,47846491,57665714,57665715,70355381,59243202,47846451,47846452,47846449,37926660,37926659,29360428,22029949,15928793,11051969,11051968,15928792,22029946,28009544,28009543,36468558,46321499,47846442,47846444,59243199,47846481,37926696,37926695,29360493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980110, s2 = 11423003, dlinesl.size( ) = 2 s1 = 10980110, s2 = 11423003, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10980110, Dl.E( ) = 6, 9.06e-06 seconds used appending s1 = 1146154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1146154, s2 = 10989419, int(edited[s2]) = 0 s1 = 1146154, s2 = 10989419, d1 = 152, d2 = 159 Dl.O(d1) = 29314820,21986717,15890483,15890484,21986718,29314825,29675270,22324371,16179129,16179128,22324368,29675266,34572161,26585120,26585119,29243955,24848664,18352561,13029317,13029316,18352559,24848660,32490644,30767244,30767243,30768209,30768210,34565286,256719735,43837972,34566062,30769710,23346715,17079878,11992305,8044056,8044057,9738249,8355702,8355704,12365729,17503476,17503477,22485564,16313521,16313523,22485574,19429705,13901950,13901949,9740529,9740531,14168592,19773668,14163464,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995 Dl.O(d2) = 2819210,1635563,930070,930071,1635564,2819216,4679475,7406564,5131722,3119697,3119695,3119703,3119705,5041094,5041093,7169118,4515204,4515202,7118692,7988872,7988875,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075438,7966180,5068183,3071984,1791535,1791536,3071985,5068186,7966186,11909558,16285148,16285149,254130286,10770432,7116281,5068212,3071998,1791541,1791542,3071999,5068215,7966237,11909623,16995268,23255733,17024577,17024576,23283790,30699429,31048944,31048946,37378504,28838201,21566551,15544299,10750522,10750523,15544303,267971989,267971987,15928213,15546453,10752195,7103636,7103635,10752194,254759740,21565015,15542958,10749484,10749485,15542961,11637125,7752794,7752795,11376438,7558024,4779233,4779231,4779241,4779238,7553504,254181552,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915500,7312266,7312265,8978204,8978206,11369714,7553455,7553456,7525557,4759094,4759095,4779194,4779196,7557957,11370886,11370887,16339520,11368733,7552877,4776318,4776317,6550488,7553879,4776854,4776855,7553882,11370362,12174104,8206024,267798826,5276519,3230664,3230663,5276512,8205220,12172920,17294055,22513636,22513637,29872176,254840528,25300585,25300586,23659180,23659179,29883463,22528420,16355679,16355678,16339467,14431460,9927043,9927047,11464822,7625835,7625837,11464831,12139732,11843465,7915006,254265690,12208203,17290035,23602695,22389972,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490928,11283885,16231353,12174269,8206133,5277021,254392990,12174265,17295579,17054519,11963969,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545210,5280957,5280953,6232525,6232522,9502138,9502135,13851379,16230824,11283422,11283421,8076116,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,21568541,21568542,23543853,23543852,22487000,16314467,11356170,7545047,7545046,11046723,7321540,4622814,4622809,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,17108786,22083905,22083906,22777759,22777758,29858937,22495264,254839606,7544483,7544482,11355085,16321474,22495262,21101818,21101817,28312173,29844011,38414592,47807760,47807761,38765915,30182431,30182430,38313982,29745279,29745281,22473924,22473923,17276565,17276566,23588400,31071927,254519892,254760024,7356112,4646765,2799018,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,16315614,11351397,11351400,16313164,16313161,22019877,15918445,15918442,15918109,11040239,7314629,7314630,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,15329077,15329048,15329047,254807098,254807100,47842085,37921810,29354815,29354816,30413433,23008672,23008673,30413006,23008054,22523840,22523842,29879996,37921700,30374842,22973447,16736887,11693266,7798690,4945475,2984840,2984839,4945472,7798685,11692808,7798461,7798462,11692814,11693133,11693132,16334944,16334940,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879962,3209791,5252791,8183050,12152689,17273447,23585750,31069784,27232825,20303734,15922224,11045293,254391926,2783215,2783214,4621929,254520076,15922214,22023174,29306673,29306672,30545131,23126805,16867033,11798689,7879896,5003663,5003665,5235449,5235447,3230726,3230729,5276679,8205503,8206011,11378047,8222113,5292322,3243701,3243700,5292331,8222129,12191739,11382126,7562045,7562043,11382118,15916224,11037878,8978204,8978206,11369714,7553455,7553456,11316274,7525572,7525574,7211947,7211951,7301004,7301000,11026758,11375156,11375158,16347531,14485769,9966921,7554002,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765154,4596467,7288980,11010756,15883932,21979024,23568287,17256788,17256789,16328089,16328092,16348860,22514058,22528374,16761107,11713944,7815669,4958247,4958248,7539587,4769341,2875179,2875182,4769354,7539617,9930120,12196440,12196444,12139727,12139728,17259802,14433983,14431081,9926770,9926506,9926504,11375815,11375814,16339507,17514550,17514546,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,9108488,9108486,12136366,10446946,10446945,15147502,11347477,254392968,22480545,27015436,23857475,17514305,12350591,12350592,267745972,29359700,29865174,267771532,23570540,23570539,267771258,20127832,14435931,9930252,6526194,6526193,9930250,14435927,20127829,25299937,22031376,15929885,11052956,8224962,8224961,254104610,23635444,30791137,30791138,39393777,49321881,254836576,39824941,39824942,38432590,29872220,22513697,16340021,16340020,22513696,255520588,22528134 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9791577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3555468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 601847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057215, s2 = 13239722, int(edited[s2]) = 0 s1 = 14057215, s2 = 13239722, d1 = 27, d2 = 18 Dl.O(d1) = 37066185,28564502,28564503,37066187,46945294,51746959,41477839,41477838,51746960,49069672,39139315,30540225,23121368,17594871,12419463,12419462,17594868,18425532,18425534,24937947,32600340,31819298,31819299,24937967,18425577,13087858,8918766,5820314,3630908,3630910,5820319,8918778,13087880,17887562,254625770,25192771,25192770,32903684,41828376,52146407,255329990,39098102,255960113,16834592,16834591,23088283,30502137,39098098,36947746,36947745,46825745,46825741,46825740,39781906,39781907,49800976,61279282,55318121,44471981,44471983,46866597,256745835,28491191,21274678,15313209,10576206,6976391,4382851,2625142,2625141,4382849,6976388,10576199,12890737,18176858,24631070,32227148,28491173,21274669,21274668,28491171,268096440,31543663,30358849,30358850,28491211,26226908,26226907,34087965,27008995,20117437,14427196,267935446,12416818,12416819,17591084,23933796,18925833,18925832,25537677,25537792,25537506,18925697,13492136,13492137,13492186,18925756,25537586,25537684,25537682,267935448,18969733,18969732,16010385,11115598,255075219,22124644,29458866,33299981,25537967,25537966,33299978,29459568,22125265,16010933,11116010,7372666,4657531,4657257,2805664,1627585,1627584,2805662,4657252,7372229,11115403,7372245,7372246,11115422,255886985,28611483,21376147,15394709,13625983,9330426,9330429,13625992,19085218,16927081,11847058,7918121,5034042,3047925,1775619,1775620,3047927,5034050,7918139,11847132,11847080,11847079,16927120,23194702,26665936,34657737,31814602,26665951,19850554,19850553,26665948,30615458,39211453,30614997,23194668,23194669,17781611,12584577,12584578,17781617,17916367,13833581,13833582,19342900,24299075,17916353,12693673,8623290,8623292,12693678,17916361,21171932,15213202,10494046,10494045,15213195,21171924,16927088,11847062,7918094,5034023,3047913,3047914,5034026,7918096,11847065,16927092,23194658,30614978,30615033,23194845,23194846,30615236,39211713,49138532,54673197,49138412,49138411,49138443,39211606,30615137,23194775,16927166,16927167,23194779,30615142,39211612,39211518,30615051,30615052,30615280,39211766,40510554,31814553,24299088,24299087,31814547,36887962,28391101,28391100,36887960,46766207,58134054,268714188,58793141,47405874,47405873,58793139,49138566,39211747,36887954,36887955,46766200,49138521,257006413,30515991,30515992,39113195,49042854,60446537,60438040,60438039,60538561,49138519,49138418,39211587,39211585,49138414,59556108,48169497,48169496,59556105,270323219,99835165,86804957,257141270,58134050,46766203,46766205,58134053,70848427,71522518,58793130,58793131,71522521,58793150,47405882,37498400,37498399,47405879,49034252,48169249,39113186,255961151,16843700,16843701,23099995,30515994,30508179,30508180,39104819,49034309,60438083,72355669,60538646,49138631,39211830,30615332,23194916,23194915,30615330,39211826,49138329,48169509,38259991,29694233,22340894,22340893,29694227,38259986,38662167,48578156,48169459,48169460,59556081,59556368,48169847,48169373,40639440,40639438,39212022,39212021,38259401,38259400,39128766,39128768,38259521,38259520,48169065,258132973,59555742,48169004,38259448,29693765,29693764,38259445,38259419,29693745,22340545,16192294,255466215,16192314,16192313,22340580,29693788,38259470,48169027,59555771,72289971,72290107,59556039,48169408,38259898,29694169,29694170,38259901,48169034,48169035,38260237,38260238,268636471,29694424,256943551,59555860,48169285,38259764,256589226,268636467,29693768,22340565,16192305,11255875,7472156,4722203,4722201,7472152,11255866,16192292,16192544,16192545,22340959,29694313,29694328,38259603,29694269,22340924,22340925,29693969,256077908,48168863,38259309,29694298,22340948,16192535,16192534,16192612,16192611,22341055,29694427,38260199,29694550,29694549,255620490,24687323,32298378,41108816,41108386,41108387,48169214,48169215,52145952,52145951,59555816,255620478,41108337,32903041,25192193,18631028,18631029,254629014,24686792,32297750,32297870,256077308,5726143,5726141,8791134,12923051,18219839,24686843,32297818,41108346,255620476,24686838,24686837,32297810,41108336,41108341,41108257,32297744,32297742,32903047,25192195,18631031,13245957,9035206,5902824,5902827,9035214,13245975,18631061,25192251,25192311,18631095,13245991,9035221,9035219,13245985,18631084,24687369,18220195,12923274,12923273,18220190,17293674,17293668,16192278,16192277,22340517,23606595,23606596,23606603,23606604,24686866,31090945,32298392,24687333,24687332,30516013,30516014,39113230,49042904,39769480,31154474,28347673,28347671,36845099,33166818,25424134,18830986,13416664,13416665,18830989,18220565,18220564,256077266,41109196,48112076,38200900,29634094,29634095,38200903,48112078,51288660,41108887,32298447,32298445,31090933,23606589,17293677,12172519,8204814,5276130,3230365,3230367,5276132,8204818,12172525,17293686,23606535,23606534,31090853,39769479,49789396,61268444,60446561,52145874,41827806,32903070,25192208,18631040,18631041,25192210,32903072,33166815,42123280,48112071,268713748,62963912,51288859,41827797,41827798,256077268,55397786,44551062,35173322,27084781,27084780,35173321,44551061,55397785,67736957,60108143,48712931,48712932,44551240,35173444,27084855,20186496,20186497,20901350,14996638,10327116,10327117,14996643,14996618,14996617,20901315,28073178,36540719,46401904,52567210,49951543,39934484,31259526,23774607,23774606,28997672,37543090,39934742,31259707,31259608,23774658,17445237,12297196,8305394,5358712 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057215, s2 = 13239722, dlinesl.size( ) = 2 s1 = 14057215, s2 = 13239722, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14057215, Dl.E( ) = 28, 3.1e-05 seconds used appending s1 = 9797377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092757, s2 = 9343493, int(edited[s2]) = 0 s1 = 14092757, s2 = 9343493, d1 = 15, d2 = 17 Dl.O(d1) = 258086300 Dl.O(d2) = 11556223,11556224,16575165,15784206,10934778,10934779,15784209,16388559,16388560,16388760,17723861,17723862,16087222,11173111,11173112,16087224,12566768,12559781,12559780,17751020,13738369,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,11147909,12280738,12280740,14334664,14334666,17493399,12334361,8332501,5377942,5377947,8332517,254527180,11147320,7393661,7393660,8575558,8575557,8575043,8575042,12629708,17361573,12231792,12231793,12232414,12232413,17362443,17362603,12232595,12232594,12630451,17836516,17704467,12522882,12522881,12565969,8521013,8521012,12565965,17362471,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,8540672,12588526,254352318,255081776,17423596,17423595,17362925,12232778,8259994,8259993,12232775,17362920,23683155,254415096,23747826,254299656,12551107,8509963,5510262,3398506,2003642,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365629,23686909,267899564,254812832,29848044,29848042,31175644,254812828,272582908,195192809,187120092,177846723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092757, s2 = 9343493, dlinesl.size( ) = 2 s1 = 14092757, s2 = 9343493, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14092757, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 9791185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 672805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 672805, s2 = 10176323, int(edited[s2]) = 0 s1 = 672805, s2 = 10176323, d1 = 2, d2 = 19 Dl.O(d1) = 17173840 Dl.O(d2) = 50247752,50247756,48169701,38260187,38260186,257011256,65902809,65902808,74076516,61294761,49815066,39794355,31113766,256503741,49815064,256028872,256503743,48390677,48390678,59773717,72507772,86106438,73257264,60510384,258200253,86870088,269877466,49931140,39912808,39912807,49931136,57833288,46477559,36611579,28137940,28137939,36611575,40189444,31504474,268683895,39794372,39794373,256534614,31113764,23627156,17311209,17311208,23627154,31113759,31504500,31504499,40189483,40161896,40161897,48390680,38487547,255874650,59773718,72507775,74189359,87793271,87793267,74189354,61410065,49931142,39912811,31237348,23754101,23754100,31237343,36704064,36704065,36611593,36611594,31113777,23627167,17311218,12186920,12186921,17311221,23627173,31113784,29473002,22136673,16020249,11123186,11123187,16020252,22136678,29473015,38035742,47949257,38035775,38035763,38035762,40161894,31477311,23980655,23980656,29926780,22566631,22566632,29926782,38487552,39912931,39912939,39912940,49931254,49931167,49931168,49388695,39460354,39460353,38035883,29473112,23754095,21019424,15096716,15096714,21019418,28212933,29473101,22136733,22136732,23754105,28212906,21019403,15096702,15096700,21019398,28212899,36704003,28212882,28212883,23754722,23754723,31238149,38035734,39460451,39460450,47949327,47949314,46590885,36704010,30855882,23424865,17147446,17147447,23424869,30855889,39460379,46744001,58113727,49388746,39460397,39460396,39460390,39460389,49388731,39913572,31238088,23754683,17428375,12284070,8295906,5351831,5351830,8295899,12284058,17428357,23754662,28212890,28212891,36704015,36704070,36704069,39913613,31238143,31238144,39913534,31238049,31238048,39913533,49931811,257059303,257059301,49388771,39460438,39460439,49388753,39913393,39913391,47949355,47949353,59340710,49931291,49931292,58623474,49931689,47230582,37321671,28785442,21521633,15509823,15509824,21521639,28785447,31237475,31237476,39912957,257641855,39913157,49931208,49931210,39913135,31237647,31237646,256008037,17428015,12283818,12283817,17428013,17428056,17428240,17428239,23754519,31237887,257604882,60510701,49106913,39176664,39176663,31237731,256512733,31237496,31237494,31237505,23754229,23754228,255169109,12283781,12283783,17427973,23754157,31237417,39488395,30882399,23451015,17174374,12075570,8120164,8120165,8295804,12283882,17428104,17428116,12283893,12283892,17428114,12283971,12283972,12283976,17428067,23731838,17428286,12284006,8295870,8295871,12284011,17428295,23754331,23754329,31237642,31238231,29168421,28785451,21521643,17428250,17428251,23754535,31237902,31237779,23754432,17428183,17428157,12283916,8295820,8295821,268677680,17428513,17428190,17428139,12283904,12283903,17428133,12283991,8295859,8295858,8295791,8295792,12283852,12284139,8295943,5351853,3289200,1934278,1934277,3289194,5351845,8295932,12284115,16374828,16374827,12284016,12284018,17428307,23754595,31237987,37321636,31238221,23754788,23754787,31238219,31237768,31237767,39913025,31237545,31237546,37321700,37321699,39912790,257059259,39913519,39913518,49931799,61382076,49901547,39880467,39880468,48366492,38465026,29907710,22551437,268110237,8295724,5351730,5351732,8295727,12283745,17427908,23754058,256512689,256874843,39913485,39913768,49931372,39913042,31237566,23754271,23754272,31237570,31238020,31238019,39913514,39913512,31238015,31238014,39390071,30787730,23362342,17093504,17093503,23362336,256482331,49317904,39912745,39912744,49931083,61410024,74189334,87637112,74189527,61410408,61410228,61410216,49931390,49931093,49931092,61410036,60084719,48688852,38767140,30183628,30183627,257562311,64819107,64819106,74189438,87150502,257419534,49384485,49384483,60785052,60813345,258223065,87177658,87793327,74189443,61410229,49931406,39913074,39913072,256302140,30852310,23421667,23421666,30852309,29328269,21998011,21998010,29328267,37896780,39913107,31237625,31237624,31237617,31237309,23754067,17427918,17427919,23754071,30852316,30877807,30877809,35212993,44593723,39483301,39483302,30877844,23754862,17428489,12284141,12284140,17428487,23754856,31238284,270319106,74189617,87793242,259379622,271325648,62682936,51052424,40910710,256999876,32133022,32133021,257034445,256087424,23447351,23754859,31238287,39913722,257534239,256411651,29822051,38394424,40090793,256840782,58719163,71449659,85021759,98946873,103482354,89388718,75627661,75627660,75627659,62682933,51052422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 672805, s2 = 10176323, dlinesl.size( ) = 2 s1 = 672805, s2 = 10176323, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 672805, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 7970069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14021548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11081896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081896, s2 = 742369, int(edited[s2]) = 0 s1 = 11081896, s2 = 742369, d1 = 11, d2 = 5 Dl.O(d1) = 85717031,72132491 Dl.O(d2) = 18908242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11081896, s2 = 742369, dlinesl.size( ) = 2 s1 = 11081896, s2 = 742369, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11081896, Dl.E( ) = 26, 1.38e-05 seconds used appending s1 = 7656653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7656653, s2 = 6796907, int(edited[s2]) = 0 s1 = 7656653, s2 = 6796907, d1 = 16, d2 = 9 Dl.O(d1) = 271311349,255585978,21626366,15595548,15595550,20295635,14564289,10021858,10021857,14564274,254914062,255652560,36612245,28138631,21617431,17333670,12208377,12208378,17333675,20822651,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660822,5953353,3723082,3723085,4766770,4766774,7535515,8190252,8190254,11339807,11953693,14991784,17039948,18196252,12906408,12906409,18196255,24654200,27277576,20341853,255276440,23286280,23286281,30702045,35346081,27222904,20294517,16814414,11757835,7850414,7850415,11757840,16541803,20352707,267879188,36547707,28079489,20906805,15592415,10786574,7126891,7126890,10786572,11338340,7534769,4767095,2873602,2873601,2873310,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,6753025,4359880,4359881,6938080,9172869,6003746,6003747,9172873,13415956,10520500,6938063,6938066,6752385,4231188,4231187,6601929,6766250,6766249,10292580,14959825,17489891,20094909,14407559,9909704,6513069,6513070,4137510,4136428,2474274,1430192,1430193,2474279,4136439,6603000,10047234,8330502,5376508,5376509,6836971,4289867,4289865,4707932,4707931,7451301,8335447,8335337,5379770,3308102,3308100,4134647,2473348,2473347,4134641,4699109,7436640,4699295,4699294,7436937,11208245,14941407,10276318,10246056,10246054,14901990,11270505,11270506,16213220,14427996,9924705,9924706,10376347,6837273,4290036,4290033,6837266,10376335 Dl.O(d2) = 258627543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7656653, s2 = 6796907, dlinesl.size( ) = 16 s1 = 13491243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7849918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8030811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2236650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2236650, s2 = 10346912, int(edited[s2]) = 0 s1 = 2236650, s2 = 10346912, d1 = 18, d2 = 16 Dl.O(d1) = 60121080,72857926,258201534,49986219,49986226,49986084,39970052,39970051,39970241,39970214,31295834,31295836,39970220,39970258,31295867,31295871,39970250,34081957,26221448,26221447,31295915,39970299,39969913,39969912,49985954,61463510,49986250,49986249,61463750,74241373,61462483,49984631,49984630,49985928,39969872,39969871,39969128,31294796,31294795,39969124,255957974,33236924,39970067,31295700,31295703,39970070,49986101,61463613,61463595,49986076,39970041,31295672,31295667,31295668,31295690,39970054,31295841,23809878,17476288,17476287,23809874,23809914,17476314,17476315,23809915,31295879,23809954,17476345,17476346,23809959,31295926,39969133,39970229,31295845,31295847,39970100,39970099,49984637,39968481,39968482,39969875,31295506,23809621,17476089,12321318,12321317,17476094,18884279,18884282,25487690,33236930,31295696,31295698,39970063,39969201,39969202,39970047,31295687,23809765,17476205,12321410,12321411,17476210,23809771,23809677,23809676,31295564,31295750,23809922,17476317,12321481,12321482,17476319,23809924,17476348,12321498,12321499,17476354,23809965,31295934,39970309,49985833,39969746,31295394,31295395,31294205,23808528,23808530,31294211,23809533,17476007,12321258,8322428,8322427,12321236,12321237,17475988,23809508,31295359,23809981,23809980,31295956,39968506,31294246,23808553,17475291,12320701,12320703,255172795,17476224,23809795,256012721,17475682,12320989,12320988,17475680,17475689,23809098,31294881,39969212,49985287,61462255,49984372,49984370,61462258,269397357,31295411,31295408,39968082,39968083,39969716,31295356,268679147,39969070,31294750,23808980,17475604,12320927,8322190,8322187,12320924,12320533,8321907,8321906,12320529,17475030,23808188,23808196,23808197,17476305,12321476,12320962,8322210,5370020,5370021,8322212,12320970,17475648,23809034,31294807,39968202,31293946,31293947,39968204,39969702,31295333,23809478,17475956,255561727,31295330,39967961,257063985,61462077,270384132,23808073,17474946,17474947,23808075,31293669,31294759,31294753,31294752,39969074,49985143,61462197,257064011,31293920,31293793,31293794,39968086,39968184,39968185,39968097,39968093,39968095,31293883,23808300,23808301,31293934,23809031,23809032,31293927,39968192,49984361,49984178,49984177,39969066,31294742,23808976,17475600,17475602,23808978,31294747,39967966,31293685,23808083,17474954,12320468,8321869,5369811,267909743,12320466,17474949,23808080,31293679,31293967,31293968,39967936,39967935,39968244,39968188,31293922,23808293,23808292,23808265,23808264,31293812,23808205,23808204,31293808,31293887,23808262,17475092,17475091,23808018,31293623,31293624,39967912,31293846,31293836,23808223,17475057,17475059,23808227,31293505,23807934,17475106,17475105,23808281,31293733,23808127,17474987,12320493,8321884,5369817,5369816,8321880,12320485,12320506,17475004,23808144,31293675,31293974,23808327,23808062,23808063,31293661,23808345,23808344,31293997,39968226,31293977,31293976,39968055,39968112,31293816,31293815,31293938,31293640,23808033,17474921,17474909,12320433,12320432,17474905,23808016,23808239,17475068,12320555,8321925,8321927,12320561,17474853,12320397,12320398,8321937,8321935,12320407,12320409,17474870,17474982,12320490,12320489,12320479,12320478,17474971,23808110,23809293,23809294,31295102,39968436,39968437,31295288,31294003,23808347,17475160,17475161,23808352,31294009,31293510,31293511,39967801,31629694,31629693,39967614,31293370,23808044,17474928,12320449,8321855,5369800,5369799,8321851,12320440,17474915,23808028,17474939,12320548,12320546,17475052,23807932,17474848,17474847,12320569,12320571,17474862,23807948,31293520,39967810,49984053,39967992,31293708,23808101,23808100,31293704,39967990,39969472,49985584,49985586,49984394,39968242,31293991,23808339,17475156,17475154,23808334,31293985,39968238,49984391,49983866,39967620,31293373,23807837,17474791,17474792,23807841,31293379,39967623,49983870,49984040,39967793,31293501,31293502,31293831,39968136,49984317,257646565,39967711,39967709,49983966,49984067,39967822,39967821,49984065,61461993,74241010,87846035,101820153,259502081,74241196,61462278,257064015,268439805,23808331,31293982,39968231,49984389,61462275,258877979,87845916,74240812,61461728,49983797,39967550,39967551,257063959,31293316,23807786,17474754,12320344,8321802,8321803,12320348,17474762,23807797,23807902,31293450,257063971,61461922,74240963,87846022,101820148,87846404,74241588,61462794,61462793,74240942,87846015,74240955,61461914,49983960,49983959,61461777,61461778,74240853,74240854,61461907,61461908,74240950,74240863,74240864,87845971,74240874,61461796,61461797,61461725,49983792,39967547,31293326,23807802,23807801,23807878,17474814,12320376,12320377,12320355,12320354,17474758,23807792,17474795,17474796,23807853,31293394,39967648,49983904,39969010,31294696,23808932,17475563,17475561,23808925,31294688,39836148,31153398,23665908,23665909,31153403,31293441,39967706,39967588,39967587,39967576,39967575,49983831,61461770,74240857,87845963,101820052,87845850,74240794,61887516,50397143,40362010,31667529,31667530,40362017,49087916,39158255,39158254,39967532,49983764,39967571,31293347,23807816,23807815,31293344,268439793,23807844,31293385,39967630,31293602,31293603,39967891,39968999,31294692,31294682,31294681,39968992,49985073,257053247,39836145,39967695,39967696,49983743,39967498,257063951,61461673,61461766,74240850,87845958,101820110,115866483,102302489,88307840,74680687,61887512,50397136,50397137,61887515,70503171,84038033,259313836,74240841,61461751,61461748,74240833,61461826,49983882,39967628,31293383,31293382,39967626,49983876,61461818,61462790,49985077,269397337,257114296,74241446,74241580,74241581,87846395,101820377,259502076,74240731,61461623,61461624,61462415,74241330,87846242,87845952,87845954,101820105,101820109,260224764,101820130,101820067,87845883,74680683,61887509,61887508,74680679,84038027,97908093,111841628,125657073,115866489,101820119,87845978,74240886,61461820,61461821,260117225,129765739,115866635,101820381,87846400,87846399,101820375,115866634,129765832,143096322,142140830,128787730,114892196,100842341,86861859,258199553,60502293,73249334,86861856,271364603,128787726,115866497,113607769,99592457,99592451,99592452,113607764,258930746,87182113,87182112,101178946,115255138,113398476,99397521,99397522,113398479,101178938,87182104,87182103,101178935,101178940,257697844,258307434,115866629,113398423,113398422,127256881,128787733,114892201,258822864,73249345,60502301,49098714,49098713,60502298,73249340,259447115,113607767,99592454,85642455,72055242,72055243,85456566,72055249,72055248,71871876,71871877,72992443,72992444,71871869,71871868,60818002,60818003,71871881,60817955,49418038,39488414,39488415,49418044,60817966,73564343,71871757,59133597,59133598,71871763,85456572,99397442,99397454,98474455,98474457,99397434,100842349,86861875,73249364,60502316,49098723,39168498,39168497,49098718,60502311,73249357,73249278,73249277,73491019,60741933,49338722,39409233,39409234,49338724,49338733,60741927,60741928,55801060,55801059,68228533,81753446,73564354,60818010,49418071,39488431,30882419,23451029,17174385,17174383,23451023,30882412,39488423,49418056,59133604,47735033,37812844,37812845,47735038,59133615,71871779,85456580,85456557,72055254,72055256,85642462,99588176,257591378,59315485,59315486,49098624,39168437,39168438,48924846,48924847,49338735,39409241,39409242,49338712,39409229,39409230,49338718,49098727,39168501,30570538,23153016,268422601,39168493,49098711,39488411,30882407,23451018,268429233,39488399,49418022,58254165,258040077,257936814,73564361,84532712,70969883,70969884,269761250,37033501,37033500,46910483,58275460,47922239,47922240,52655093,49098622,48924850,39000850,30411602,23006602,23006603,30411607,39000857,48924854,60323339,48940423,48940424,60337900,73078041,86682381,73249331,73249330,77737031,64554667,52655057,48753733,38833636,30249999,22855361,20932283,15024264,15024265,20932288,28108876,36581158,46446616,46887298,37008503,28509900,28509899,37008497,46887290,46910498,37033512,28535540,21312813,15342582,15342581,21119645,22110246,15998457,15998458,22110251,29443918,30411618,23006609,16766970,16766971,23006611,28535551 Dl.O(d2) = 256277514,256277517,255003161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2236650, s2 = 10346912, dlinesl.size( ) = 2 s1 = 2236650, s2 = 10346912, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2236650, Dl.E( ) = 20, 1.6e-05 seconds used appending s1 = 1025311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994292, s2 = 6586251, int(edited[s2]) = 0 s1 = 10994292, s2 = 6586251, d1 = 1, d2 = 1 Dl.O(d1) = 257999292,257388598,61504722,50026651,40008045,254999392,23838431,17498540,12338220,12338221,17498543,23838435,31329895,37461424,28921977,28921978,37461426,47366752,58752613,70825982,58767652,47380422,37473166,37473165,47380420,50285587,257577744,34216168,34216167,36492485,28030064,20862713,14960867,10293428,10293429,256272831,256380174,46739254,46739253,57657141,65058154,65058153,57699338,53893147,268784364,57804608,57804609,70505842,61201328,49722320,49722321,59359448,256384938,29491096,22152277,22152278,22211926,22211924,19160815,19160812,19616172,14056957,14056955,19616167,26345061,34218707 Dl.O(d2) = 257999292,257388598,61504722,50026651,40008045,254999392,23838431,17498540,12338220,12338221,17498543,23838435,31329895,37461424,28921977,28921978,37461426,47366752,58752613,70825982,58767652,47380422,37473166,37473165,47380420,50285587,257577744,34216168,34216167,36492485,28030064,20862713,14960867,10293428,10293429,256272831,256380174,46739254,46739253,57657141,65058154,65058153,57699338,53893147,268784364,57804608,57804609,70505842,61201328,49722320,49722321,59359448,256384938,29491096,22152277,22152278,22211926,22211924,19160815,19160812,19616172,14056957,14056955,19616167,26345061,34218707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994292, s2 = 6586251, dlinesl.size( ) = 2 s1 = 10994292, s2 = 6586251, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10994292, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 9466486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15389266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8464494, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3222350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7996501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7996501, s2 = 10694796, int(edited[s2]) = 0 s1 = 7996501, s2 = 10694796, d1 = 7, d2 = 18 Dl.O(d1) = 8620699,5604725,3480041,2065455,2065454,3480039,5604721,268005741,16839622,22163379,22163382,23094803,16839458,11776045,11776046,16839463,16840002,11776418,11776419,16839994,11776409,11776410,16041614,11776079,7862445,4990398,4990395,7862435,11776065,16839484,23094825,30510117,256725798,23094594,23094595,30509882,39106803,30511030,30510877,30510878,39107882,49037712,52243500,52243501,52544894,49037046,39107215,30510569,29502895,22163430,22163431,29502898,30510847,23095467,23095468,22163397,16041537,11138598,7862624,7862623,11776378,7862629,7862627,5475921,5475922,8471506,12505682,17683179,23095407,23094738,16839406,16839407,23094743,30510026,23095664,16840111,16840113,23095533,30510934,39107290,39107289,39108047,39107035,268678982,18674693,18674694,25244923,23094918,16839543,11776099,7862454,4990403 Dl.O(d2) = 272600913,143045658,150377454,150377453,150356719,137315639,260397671,270658693,269977916,35051609,35051610,44426222,55273218,269638505,81161725,95218484,109472756,123584396,123584398,137315643,123584400,109392651,109392652,123584395,123664840,273226500,137315646,137315645,150356725,150356721,272778779,150356724,162490043,263026151,173527575,162490042,156929257,156929256,262862497,187819858,263982542,272904730,262354044,168383689,272828818,131309403,117512956,117512955,131309401,144530802,156929259,168383684,178702669,168383687,168383686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7996501, s2 = 10694796, dlinesl.size( ) = 2 s1 = 7996501, s2 = 10694796, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7996501, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 14056678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056678, s2 = 9151419, int(edited[s2]) = 0 s1 = 14056678, s2 = 9151419, d1 = 0, d2 = 12 Dl.O(d1) = 39719,73378,134943,244212,431267,758490 Dl.O(d2) = 12530868,17714121,24070252,257753581,256611455,38798450,30214302,29107588,29107587,256899025,33170228,33170230,33229461,25480765,18878589,13453279,9200300,6023665,6023667,9200302,13453284,18878597,25480713,33229389,42189700,51053298,62684068,258951441,103484611,260808472,8624623,254422731,2067155,2067156,3482349,5607681,7609365,4814004,4814008,7609375,11442949,13345669,9118957,5966670,3731132,3731131,5966666,254538199,4802766,7592607,11295736,11295737,13379369,255113881,7696533,4870968,4860316,4860315,3757029,2250346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056678, s2 = 9151419, dlinesl.size( ) = 2 s1 = 14056678, s2 = 9151419, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14056678, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 494346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8068415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9808613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16061789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16061789, s2 = 16352870, int(edited[s2]) = 0 s1 = 16061789, s2 = 16352870, d1 = 23, d2 = 26 Dl.O(d1) = 228351669,226521918,224422026,222004436,219189120,215853800,211821463,206885443,200910565,193828863,185569299,176104786 Dl.O(d2) = 30018888,22646504,22646505,30018889,37965083,29400610,22070084,22070083,29107819,29107818,37657634,47563759,47050053,37159471,37159470,46277931,39930028,39930027,46366094,42151943,33193203,33193205,33968053,43025911,49949385,49949386,39932415,31257524,23772796,17443822,15415517,255401625,23772822,23772823,31256597,39128093,33000447,25275434,18702912,13309665,9090812,5947189,5947188,9090810,13309661,18702906,25275425,33000432,41047052,51203276,269339128,89598168,100948635,258830559,60607989,49207467,257019259,30684185,256474595,17003247,13601908,13601909,19053668,19035502,19035503,255706728,254950734,6912436,6912437,10484218,15200457,19104535,13640244,9340526,9329249,6111077,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288496,3819839,6104936,9319639,13610386,19064854,19022216,18983347,13546349,9273699,9273700,9329548,9329549,12291327,8301074,5355250,5355253,8301085,9350664,6124724,3832090,3832092,3832082,2295916,2295915,3829473,3829472,6120694,9344599,13646571,13564399,9287225,6083957,3806856,3806857,4791035,7575036,11400122,16380287,17871701,16014921,16014922,16263877,16263876,16014856,16014858,17806702,17795295,17795296,24162955,24251630,17874132,17874129,19144708,13669891,9361006,9361003,11307747,11307745,8593433,5583573,5583570,8593423,12657332,17873790,24251212,18865754,13442566,13442565,13442562,9191808,9191809,13442563,18865749,17866703,17866704,24242641,29799565,29799566,28499365,24242070,17866225,17866107,12652007,12652006,17866069,12651987,12651985,8590354,5581895,5581894,8590350,8593677,8593675,12652655,17780324,13609187,13609188,19063313,25687149,33459081,42452024,52856075,64775758,77970410,91895244,106090178,118610172,104427487,258985517,63402447,51658929,41417367,32558413,268284015,13071898,8907624,5812851,5812852,8907625,10542584,15276323,21243404,21251565,21251566,255437512,15286471,10551991,6959373,6959371,10551985,15286464,21251569,256309579,29171347,21861653,15789072,15789071,254854110,13514149,13514337,11914760,10571643,9247304,9247300,12059025,12492511,12492510,254514194,14050853,11275343,254853540,22375708,18973157,18973156,24907730,24907731,18403407,13071895,13071896,18403409,24907739,24907737,24907738,32558412,41417366,51658928,63402445,76446427,90276560,104427486,118610171,114347949,100321170,86361520,72764742,60028063,48635311,38717535,30137987,22752177,16541155,16541156,17334327,17334328,23651349,31138811,39821357,255538760,30183814,33003151,25278338,18705790,18705788,25278331,24272238,17892702,17892701,24272235,28892290,21616067,21616066,28892288,37433754,35064318,28685730,26927379,255739082,20042097,20042098,26927661,28685573,37057291,46935636,40479470,31785095,26927183,20041779,20041778,24272249,17892710,17892709,24272247,31785068,27156646,27156648,24272309,17892751,12674008,12674005,17892744,24272301,31785136,40479512,35008854,35008853,28685748,21435901,21099602,254834890,36806508,28685562,28685561,37209680,40479494,50514527,40853855,32081805,32081804,257709443,59669595,63720369,51912802,51912803,44386243,44386244,40853996,40853997,50988901,50988975,40854056,40854055,50988973,62611090,62611091,55235968,47284337,42288220,33308170,33308169,42288218,52674447,50988980,50988979,55236421,67578601,59039635,47637673,37715286,29154662,29154661,37715284,47637668,59039633,59039699,58846896,49169652,49169654,60568620,71573898,85144034,85144046,72048095,72048096,71573770,71573771,85051582,71573915,58847234,255528362,58847022,47462125,37554599,29008591,21722266,15677722,15677721,21722263,26968769,26968768,35049960,44424674,55236021,67578332,71573886,58847190,256630084,58847368,59039603,47637613,37715241,37715240,37715314,29154680,21845922,15775516,15775517,21845924,29154683,37715320,47637731,58846842,256513400,37554573,37554572,47462091,58741258,58847349,47462356,47462355,40257829,31570418,24064814,17709361,17709362,24064816,29008743,36872722,37447078,46751904,46751905,36872755,28376085,21158821,21158820,28376083,26343197,26343196,268792731,53838583,65905401,79267621 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10255143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14599891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14599891, s2 = 4550318, int(edited[s2]) = 0 s1 = 14599891, s2 = 4550318, d1 = 6, d2 = 36 Dl.O(d1) = 30180174 Dl.O(d2) = 12808270,18066077,18066253,18066252,14717140,255348821,27530366,35772917,35635706,27441110,20493853,14703550,10146212,10146211,10076869,10076867,10064019,6611551,4182676,2501000,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1442998,2499415,1442356,1442353,2499404,4180710,6674773,10160000,14773004,18075801,12814746,8712834,5671655,3527830,267775417,1208813,2099584,3527840,5671670,8712847,8712848,12814769,12808272,8712298,8712299,8709519,8709520,12809381,11641833,11641830,16678456,12809413,8711610,5670952,3527477,2099417,2099422,3527511,5671046,6536916,5190469,5190471,8101468,12050212,8710469,8710472,5671430,5671432,7756230,7756228,8943471,5838156,5838155,7756085,11642062,8944120,8944122,13122481,8946951,8946953,5840514,3644783,3644784,5840519,8944273,5838636,3643815,3643814,5838630,8944265,13121349,13121350,18469401,18066078,18066077,256062815,40817954,41670842,35944340,35944343,35596949,27414792,20440084,14667502,10088146,10088149,10234202,10076607,6618696,4164048,4164044,6611545,6611543,4182507,2500989,1443016,1443011,2500988,1443016,1443014,2501024,1443376,1443373,1437830,817101,817098,1437868,2489837,2515116,4205653,6712250,10215512,14854896,20721700,27844424,36246922,46028118,57299438,57299442,57167959,50076544,50076545,57299445,68283510,55848462,55848461,57044804,45826882,36102972,36102971,45826879,53781091,53781090,53781299,65842292,77019277,90899140,83271269,82910483,69390126,56811166,45646685,35976031,35976030,45646655,56810803,56810800,56372741,45315707,45315704,35962465,35962468,35743217,35743213,35743114,27512697,27512692,35743126,45305541,56358662,56911038,69508622,259221341,111008611,261587659,138368404,151155202,163100383,263048937,183703684,263816859,205726447,205726448,210853832,209707421,204309680,197840111,190249641,181456270,171438769,160219841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14599891, s2 = 4550318, dlinesl.size( ) = 2 s1 = 14599891, s2 = 4550318, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14599891, Dl.E( ) = 44, 3.6e-05 seconds used appending s1 = 7873312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 711529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 711529, s2 = 7710182, int(edited[s2]) = 0 s1 = 711529, s2 = 7710182, d1 = 15, d2 = 79 Dl.O(d1) = 18139703 Dl.O(d2) = 38527336,48435290,48435289,258152091,86154931,100121271,260619513,141414501,273359267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 711529, s2 = 7710182, dlinesl.size( ) = 2 s1 = 711529, s2 = 7710182, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 711529, Dl.E( ) = 80, 2.91e-05 seconds used appending s1 = 7556520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13665097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 715608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6419688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7821700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16306154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16306154, s2 = 14075742, int(edited[s2]) = 0 s1 = 16306154, s2 = 14075742, d1 = 0, d2 = 0 Dl.O(d1) = 185642612,273351606,153730925,141064142,127713142,127713141,113842379,99826500,85872769,85872770,99826488,85872771,72280714,59546246,48159239,48159240,59546248,72280716,259380187,113842375,99826498,85872767,85872766,99826496,100011857,86048460,72449701,72397972,59662128,48274219,38362781,34317935,30020322,30020323,35103155,34317933,34317934,38593072,38593084,30020343,22647652,255105893,7626721,4825269,267894281,255105895,271348322,48508068,59901707,59901664,48508052,38593076,30020337,22647649,16456679,16456680,22647650,30020340,38593081,48508059,255976384,46592457,46592456,52161217,256477948,86244992,98133781,257603102,59901704,59901705,48864592,48864590,60257637,72993433,84239104,70686640,57968762,57968763,70686642,72993436,72993435,86591221,100553043,113489956,257490466,257106312,127671003,256910518,101183952,87186654,73567978,73567979,258833644,115259957,129188624,258724208,129188622,115259953,101183957,87186648,73567974,60820659,49420098,49420099,60820660,254755726,48316286,59703099,48316283,38405650,29833893,29833894,38405653,48316293,59703113,59703110,59703111,72439188,255873336,86456904,86456903,257490484,258062123,37267986,37267985,47174020,47174018,37267983,28736001,21478843,21478842,28735999,37267980,47174012,48729443,38808991,30226215,23452334,17175395,12076315,8120693,8120692,12076312,17175391,23452326,30883937,257034887,59151689,71889376,85473689,86456840,86456841,72861170,72861171,86456847,99414572,85473729,71889419,59151734,59151733,71889418,85473726,99414568,86456859,72861182,72861183,86456862,100261768,100261767,258869560,100261753,260628601,130377224,258869562,74807808,74807809,88440363,102442169,100261765,86299518,86299517,260628603,141532776,141532769,128174815,114291755,100261760,100261761,95211541,258755658,67688932,72702331,86299511,100261757,95211544,95211543,109466120,113847353,99831394,99831393,113847351,109466125,95211551,81154496,81154495,95211550,258132508,70429160,70429143,70428534,70428533,83954945,70428513,70428515,74784178,83955450,70429179,258627049,57735003,46385226,256276031,28059804,36525454,257392165,70429165,74784179,61987828,50495866,40459979,31765504,24253574,24253575,31765510,40459985,50495871,61987840,74784193,259540815,102416302,259432740,258185548,40459966,31765490,24253566,17875941,17875940,24253563,31765488,40459962,269413591,74784143,88415807,102416292,102469286,102469287,102416275,102416276,116511796,130348154,130348188,141492086,128130617,260515642,116511805,102416286,102416285,102416279,100209111,100209113,114243576,261202027,116511802,116511801,102469285,88465897,74832695,62036215,62036216,74832697,88465895,74832692,62036210,50544359,50544360,48502975,48502976,59896719,62036212,58290608,46924823,46924822,58290604,46924842,46924843,257548559,38588079,30015680,30015681,256967859,59896725,71005898,60427497,49023835,39094932,39094933,49023838,256315488,71005890,60427510,52720135,52720136,55681038,44772165,44772164,255793950,37046725,37046726,46924828,58290613,71005888,71005895,58290622,46924837,37046728,254498384,254224850,16832610,16832609,23085651,30499047,254333072,30499048,39094930,49023832,52720138,256315490,25590992,25590991,33351494,268198676,35346933,33351499,25590994,25590995,33351501,256315492,16832618,11771146,7858922,4987961,3012771,3012770,4987959,254809977,16832606,18981719,13545045,13545046,18981721,23085647,255959949,268680198,13545051,18981730,25591006,33351517,42333028,47800198,255162554,61206175,55471363,55471362,59921896,48527871,42941032,42941031,53407588,51667491,49405586,41425407,32565237,24913043,20234667,14519950,9990988,9990989,14519951,20234669,27143030,255107894,40246418,40246419,50266024,60008590,59683612,59683605,49293071,256938788,23340872,23340873,30764046,39365613,48527915,256953379,38386948,48297270,50266096,57662926,57662927,59868720,48476958,38563592,38563593,37629288,37629289,47408442,38563610,38563611,48476969,48476703,38563148,38563147,48476701,47817912,38563182,29992878,22624604,16439257,16439254,16439256,15978677,15978678,22084863,29415151,37978160,47895486,59291066,258736463,91730261,89456771,75691692,72027446,72027445,75691662,62744186,62744187,75691665,89456755,103555291,117690570,131496736,133990763,133002228,119169156,104976052,90799636,258374693,63818016,76924883,259629003,119169155,123776561,109586307,95331182,270288490,257435844,52002651,52002650,256317730,95331196,109586321,95331194,81272202,67804753,55463280,257922219,55463287,67804744,67804745,74760866,88394699,258670328,258429274,47151507,37246193,37246192,47151505,58539867,71271525,84845467,71588593,58865539,58865538,71588591,71588595,71588600,255423834,47483443,269323370,258707380,81263579,81263578,67795329,55453220,44604479,44604478,55453217,67795324,59857711,59857712,51027524,40890119,40890117,51027521,55325128,44478920,35101814,35101815,39268583,30672393,30672394,23567156,23567157,20130869,20130870,20132536,14439309,14439310,14438591,14438592,14439121,14439120,20132317,27024336,27027132,27027131,35113605,29461262,22126717,22126718,16721158,16721159,22957331,30358936,35111207,35111192,35111191,35113610,44488871,39345364,39345365,44486940,35109755,27023530,27023531,27024581,27024385,20132363,20132362,27024394,35110668,35111498,27025150,21288985,15323917,15323916,21288980,27024353,27024352,20132344,14439137,9932487,9932486,9932915,9932916,14439732,20133080,27024848,27024849,27024876,27024842,20132747,20132748,20133524,14440123,14440122,20133520,14440893,9933812,6528794,4090825,2447500,2447499,4090818,254215044,268175521,35113549,36774052,46659334,44490409,44488652,44488651,35111874,267871688,14440179,14440180,20133572,27025772,29907256,22551043,22551042,22551022,16374513,16374514,268048548,34582731,27025082,20132943,20132941,16374524,16374523,22551038,20132956,14439660,14439659,20132962,17302824,17302825,23615981,31099694,35113562,31099708,31099709,27027020,27027019,23615995,23615994,31099705,29907293,22551073,16374545,11395957,7571899,4788710,2886409,1675224,1675225,2886411,4788713,7571904,11395966,16374554,16374457,11395916,7571883,4788703,4788702,4788701,7571881,11395911,16374446,22550902,29907042,38464386,41424643,41424642,37916186,29347251,29347253,37916190,31413098,23923531,17582489,12410282,12410283,17582495,23923546,255331772,19297617,25963467,33773138,32564380,32564382,32564428,24912425,18406946,13074380,8909309,5813957,3626721,3626720,5813954,8909303,13074366,18406918,24912380,24912372,24912371,32564365,41424521,51666774,48637748,48637747,51666952,41424775,41424774,41425660,34255168,26377822,26377820,24913362,24913361,32565625,29296600,29296601,37865842,47790381,49317231,49317232,39400217,30797104,23370588,23370587,30797102,39400216,49328480,52424384,42079556,42079558,52424389,49219820,39293178,30695686,23280387,17021590,17021589,16977592,16977593,23244297,30360060,22958697,22454749,22454751,29821995,23244321,16977608,16977607,16977581,11890666,11890667,16977585,23244281,16977622,16977623,23244337,30297066,30297067,38882587,48804525,40452111,40452110,41424698,49219859,39293222,39293221,44490019,49219964,39293337,39293207,30695718,30695717,28837256,28837257,34682435,43957567,39293277,30695773,23280457,23280458,30695776,39293282,49125533,39400242,30797128,23370601,17101914,17101912,15333626,12016227,8075178,5169936,5169933,8075169,12016214,17101886,23370563,23604183,23604182,31088589,39767069,49786841,61265892,74045679,72611008,59872878,48481202,38567791,256966089,59872875,53378561,53378562,65382446,78687104,92750484,107090900,121388187,135237984,139667861,272526659,152388669,261090331,112433320,112433319,126296934,261641913,271767214,72434050,59698391,48311407,48311406,48311408,47837351,37916076,29347163,22015143,255381044,11035107,15913541,22015146,20925147,15017349,10345321,10345320,7858895,4987948,4987947,7858894,6867340,4310119,4310118,6867337,10417313,11034980,268081127,21028109,15103625,15103624,17713106,24069065,29651681,31322894,31322893,38217843,29651449,29651450,23832428,22299555,22262923,16122533,15779500,15779499,21850287,29158699,254373896,38217924,254729370,16154252,16154251,22299685,22299768,22299769,29651387,22685384,16486203,11486704,11223288,7446778,254332798,254332800,1644249,934931,934930,254237039,4704924,4704969,2834309,2834310,4704973,4704949,2834299,1644252,1644253,2834306,4704961,7446692,11223148,16154118,22299561,28807291,254497930,10736546,7093684,7093685,10595693,8332726,5378076,3307075,3307074,5378075,8332722,12334609,17493742,22299508,16154380,11223298,11223299,254224708,22299699,16154265,16154266,22299700,29651619,29651473,22299489,16154046,11223059,11223060,16154049,16293446,22299418,16153998,11223017,7446612,4704918,4704919,6990019,10595648,15340315,21310232,22299366,23832469,17493833,17493835,12334680,8332771,5378101,3307087,1945583,1111470,1111471,1945587,3307093,5378111,8332783,12334707,16293841,11336535,11336324,7533320,4765443,2872699,2872700,4765444,7533325,11336329,16293530,22461502,23037348,23037377,16793007,16793006,16293156,11336103,7533188,4765369,4765368,7533186,11336097,16293144,22461006,268947917,81270435,70959795,258039349,256850991,28499921,28499922,30017248,36997332,256399950,31467703,23972008,17623406,12442560,12442562,17623410,16933049,11851161,7920833,5035797,5035796,7920830,11851153,16933039,23202950,30625350,39223129,40241240,31555047,24050723,24050725,23358877,17090314,12002816,255146533,23358871,30783735,39385745,49313428,47964185,47964184,58076827,46704693,46704692,39462350,30857505,23426027,23426028,30857509,31546722,24043168,24043169,24043211,17691016,17691015,24043025,24043085,29698163,22344457,16195252,11257877,11257878,16195260,22344470,29698186,23095919,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141772,24043255,31546814,31547721,40233687,48750273,40233071,31546884,31546885,40233073,269403849,58248328,258039757,258173344,31546567,30857495,30857496,39462287,39399756,30796690,23370279,17101668,17101669,23370282,23095929,16840304,11776596,7862750,7862751,11776600,16840310,23095941,24202893,24202895,31546711,39108481,30511375,23095885,16840279,11776582,11776579,11776580,16840273,23095874,17691063,17691064,256031881,40233084,49038391,49038392,50436679,40402566,31710453,24202812,17833254,12627777,12627776,17833252,24202809,31710445,40402561,50436678,61927274,61728156,60151055,48756836,40229674,31543308,24039997,17688150,17688151,24039998,255580165,17691856,17691848,12513024,12513026,17691855,17691861,24039768,31543060,40229435,47896488,37979247,29416355,255886848,29416076,29416075,22085987,22085988,29416286,37979202,37979230,47896408,37979015,256382478,29416082,22085736,22085735,29416080,37979037,31546010,24042478,17690437,17690436,17690448,255580053,24042469,29416034,29416033,256382480,31546001,29455918,256382465,22120923,22120922,29416295,22086001,17681603,17681602,255075064,11093057,7356882,4647246,2799290,1623832,1623833,2799294,4647247,4647345,2799348,1623875,1623873,2799345,4647341,7357075,255074059,15979200,15979199,16007143,16007141,11113799,11113798,15979413,15979414,22085617,22085618,15979316,15979317,12509925,12509926,15979435,11092960,7356834,7356833,11092930,11092929 Dl.O(d2) = 185642612,273351606,153730925,141064142,127713142,127713141,113842379,99826500,85872769,85872770,99826488,85872771,72280714,59546246,48159239,48159240,59546248,72280716,259380187,113842375,99826498,85872767,85872766,99826496,100011857,86048460,72449701,72397972,59662128,48274219,38362781,34317935,30020322,30020323,35103155,34317933,34317934,38593072,38593084,30020343,22647652,255105893,7626721,4825269,267894281,255105895,271348322,48508068,59901707,59901664,48508052,38593076,30020337,22647649,16456679,16456680,22647650,30020340,38593081,48508059,255976384,46592457,46592456,52161217,256477948,86244992,98133781,257603102,59901704,59901705,48864592,48864590,60257637,72993433,84239104,70686640,57968762,57968763,70686642,72993436,72993435,86591221,100553043,113489956,257490466,257106312,127671003,256910518,101183952,87186654,73567978,73567979,258833644,115259957,129188624,258724208,129188622,115259953,101183957,87186648,73567974,60820659,49420098,49420099,60820660,254755726,48316286,59703099,48316283,38405650,29833893,29833894,38405653,48316293,59703113,59703110,59703111,72439188,255873336,86456904,86456903,257490484,258062123,37267986,37267985,47174020,47174018,37267983,28736001,21478843,21478842,28735999,37267980,47174012,48729443,38808991,30226215,23452334,17175395,12076315,8120693,8120692,12076312,17175391,23452326,30883937,257034887,59151689,71889376,85473689,86456840,86456841,72861170,72861171,86456847,99414572,85473729,71889419,59151734,59151733,71889418,85473726,99414568,86456859,72861182,72861183,86456862,100261768,100261767,258869560,100261753,260628601,130377224,258869562,74807808,74807809,88440363,102442169,100261765,86299518,86299517,260628603,141532776,141532769,128174815,114291755,100261760,100261761,95211541,258755658,67688932,72702331,86299511,100261757,95211544,95211543,109466120,113847353,99831394,99831393,113847351,109466125,95211551,81154496,81154495,95211550,258132508,70429160,70429143,70428534,70428533,83954945,70428513,70428515,74784178,83955450,70429179,258627049,57735003,46385226,256276031,28059804,36525454,257392165,70429165,74784179,61987828,50495866,40459979,31765504,24253574,24253575,31765510,40459985,50495871,61987840,74784193,259540815,102416302,259432740,258185548,40459966,31765490,24253566,17875941,17875940,24253563,31765488,40459962,269413591,74784143,88415807,102416292,102469286,102469287,102416275,102416276,116511796,130348154,130348188,141492086,128130617,260515642,116511805,102416286,102416285,102416279,100209111,100209113,114243576,261202027,116511802,116511801,102469285,88465897,74832695,62036215,62036216,74832697,88465895,74832692,62036210,50544359,50544360,48502975,48502976,59896719,62036212,58290608,46924823,46924822,58290604,46924842,46924843,257548559,38588079,30015680,30015681,256967859,59896725,71005898,60427497,49023835,39094932,39094933,49023838,256315488,71005890,60427510,52720135,52720136,55681038,44772165,44772164,255793950,37046725,37046726,46924828,58290613,71005888,71005895,58290622,46924837,37046728,254498384,254224850,16832610,16832609,23085651,30499047,254333072,30499048,39094930,49023832,52720138,256315490,25590992,25590991,33351494,268198676,35346933,33351499,25590994,25590995,33351501,256315492,16832618,11771146,7858922,4987961,3012771,3012770,4987959,254809977,16832606,18981719,13545045,13545046,18981721,23085647,255959949,268680198,13545051,18981730,25591006,33351517,42333028,47800198,255162554,61206175,55471363,55471362,59921896,48527871,42941032,42941031,53407588,51667491,49405586,41425407,32565237,24913043,20234667,14519950,9990988,9990989,14519951,20234669,27143030,255107894,40246418,40246419,50266024,60008590,59683612,59683605,49293071,256938788,23340872,23340873,30764046,39365613,48527915,256953379,38386948,48297270,50266096,57662926,57662927,59868720,48476958,38563592,38563593,37629288,37629289,47408442,38563610,38563611,48476969,48476703,38563148,38563147,48476701,47817912,38563182,29992878,22624604,16439257,16439254,16439256,15978677,15978678,22084863,29415151,37978160,47895486,59291066,258736463,91730261,89456771,75691692,72027446,72027445,75691662,62744186,62744187,75691665,89456755,103555291,117690570,131496736,133990763,133002228,119169156,104976052,90799636,258374693,63818016,76924883,259629003,119169155,123776561,109586307,95331182,270288490,257435844,52002651,52002650,256317730,95331196,109586321,95331194,81272202,67804753,55463280,257922219,55463287,67804744,67804745,74760866,88394699,258670328,258429274,47151507,37246193,37246192,47151505,58539867,71271525,84845467,71588593,58865539,58865538,71588591,71588595,71588600,255423834,47483443,269323370,258707380,81263579,81263578,67795329,55453220,44604479,44604478,55453217,67795324,59857711,59857712,51027524,40890119,40890117,51027521,55325128,44478920,35101814,35101815,39268583,30672393,30672394,23567156,23567157,20130869,20130870,20132536,14439309,14439310,14438591,14438592,14439121,14439120,20132317,27024336,27027132,27027131,35113605,29461262,22126717,22126718,16721158,16721159,2295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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16306154, s2 = 14075742, dlinesl.size( ) = 2 s1 = 16306154, s2 = 14075742, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16306154, Dl.E( ) = 2, 1.12e-05 seconds used appending s1 = 14119703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6571910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8050738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13451205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7948048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7948048, s2 = 14165377, int(edited[s2]) = 0 s1 = 7948048, s2 = 14165377, d1 = 3, d2 = 1 Dl.O(d1) = 255364317,14992904,20897023,268107190,37217473,32863144,25156316,18599059,255221498,254627186,3672459,254640325,13217755 Dl.O(d2) = 18403932,18403931,15173089,15173088,21120658,17170059,17170061,12072853,8118353,8118354,10469096,6901615,6901616,10469103,15178804,15178810,15178809,15336905,15175077,14576418,10030206,6591911,4129737,2470345,1427873,1427877,2470357,4129756,6591949,10030295,14576451,14576452,20311409,21036073,17170245,12072836,8118344,8118343,6871024,6871023,5200920,5200919,8118319,12072796,13072274,18403951,24908434,23445074,17170135,12072762,8118298,8118297,12072757,15179045,21024798,21308145,21035644,15109320,15109319,20311460,14576498,14576500,10593820,6988618,6988619,10593825,10591223,6986718,6986719,10591228,15334856,15335885,15338284,21308157,21308146,21069698,15134572,15134573,10466909,6901103,4333042,4333043,4334938,6903019,10470260,10438187,10438188,15134391,21069543,15136947,15136949,15178976,10469280,6901782,6901781,10469275,15178972,15178751,10469043,6901560,4333452,2593509,1495882,1495881,2593505,4333441,6901538,6988600,4391546,4391547,6988601,10468230,6900780,6900781,267822938,15174960,254157348,6898620,4333673,2593693,1495996,847704,478708,478709,847708,1496002,2593700,4333682,6901795,10469289,15178979,10483803,6912008,6912009,6901186,6901185,6903198,4335449,2595185,2595184,4335447,6900387,4332347,4332348,6900390,4335433,4332415,4332414,2594895,2594896,2594961,1519435,1519434,2580661,1486604,1486603,2580656,4315058,4334802,2594590,1496569,848024,848025,1496467,2594439,1497655,848637,848640,1497662,2596239,2596355,2595303,1497045,848296,479009,479010,848302,1497055,2594868,1496762,1496763,1495838,847594,478651,269395,269396,254119137,1495842,2593440,4333363,4336123,2595703,2595704,4336126,6904156,4336537,4336536,6904553,10471827,10483857,15200068,254326830,15179986,10470508,6903359,4335303,2595058,1496890,1495747,847548,847549,1495748,2589855,2596395,2596042,1497524,848568,848569,1497529,2595925,2595966,2595965,2593594,1495934,1495933,2593588,2527328,1456566,824689,465712,262140,262144,465727,824722,1456604,1492946,1492945,1495523,1495525,2592954,4332752,2598392,2598390,4340192,6903550,4335838,4333199,2593326,1495772,1495773,2593334,2980719,2980718,4939605,4672868,2980768,2980766,4939681,6904799,4336850,4329260,2595692,2595694,3477045,2063135,2063137,3477089,4336441,4335953,2595552,1497180,848367,848369,1497192,1730240,2980588,4939386,7790408,11682706,16724630,12243557,8268752,8268751,12243554,17375603,23697844,31187649,39870233,49892385,61372825,74153080,84527377,70963818,59822586,59822587,72558043,86156480,100122793,114156855,128047006,140201880,152892986,140201878,140201871,140201869,140201881,137407210,137407211,141530542,141530541,150446271,137407209,137407208,150446269,162574373,173604056,162574369,150446265,150446263,261950950,148954108,148954109,148954102,148954103,161259308,149367735,149367736,161259306,148954096,135715142,135715143,125941570,272169787,121774777,107390016,92979271,92979270,107390014,121774774,272424205,137412986,123682446,109491165,109491166,95238258,81183066,67718090,67718089,81183064,95238256,97831339,83970611,70443241,257393375,36536344,36536345,46397285,57748094,70443246,83970617,91815240,77893761,64704814,52790972,42391526,42380833,254666926,19012547,19012549,19572717,14021152,13591457,9306356,9306362,9293192,9293194,9293930,6088204,3809358,2357341,1365122,777663,441306,441304,777649,777747,441325,441327,777649,777747,777745,1365360,2357125,3935744,6285025,9576795,255298859,26200985,34055927,38054468,29490607,22151872,16032136,11131878,11131877,268221749,11131883,7383864,4664906,2810442,254350417,254766135,16032133,17019006,254819161,5083595,3083323,1799410,1799412,3083329,5083604,5090172,3088929,1804124,1030118,1030119,1804128,1789932,1789931,3069966,254228757,1022233,1022232,1792291,3072917,1798981,1026467,578326,578328,1026478,1027378,1021883,1021885,1027366,1800229,1791695,1791696,1569922,1023547,1020285,1020282,1789278,1790549,1026424,578308,323494,178730,98346,98347,178733,323497,578317,1026447,579746,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1572193,893889,504308,282781,282780,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177597,321068,573354,1017218,575351,322000,320513,177337,177338,254102945,572665,1015932,1781528,3056674,254228775,1573114,254253767,1023705,577337,323019,323020,577339,1024562,1795707,1794364,1023715,1023712,1794356,3075552,5072409,7971649,7797506,254369961,2976493,2976491,4933684,7780880,4932794,2975836,2975835,1731573,984402,984403,1731575,2982848,2979981,1729859,983395,983396,267792961,1731342,984247,984248,1731343,1731888,984585,984586,1731890,1727317,1727316,2976173,4933170,267983843,254213806,16714140,11690536,7796690,4944071,2983828,1732260,1731087,267753201,554002,984082,1731090,254247508,1731804,1731807,2982917,1731623,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728838,1728835,2978456,4936261,254369349,2978318,4936057,4933080,2982655,2982654,4942512,267795596,16719003,11688268,11688267,11679490,7787939,7787938,11679489,254103476,11896135,7954936,7954941,11890067,11890066,11900672,16722790,254103482,16983324,11897362,7956007,267769364,5059620,7954912,11896106,15716515,15716514,21775803,17081031,11993185,11993187,15779457,11880793,7985035,5081962,5081959,7985028,11932119,17016455,17015188,17015187,17764684,24127598,29553130,22208351,16077652,11687427,7951073,7951078,11882098,10878668,7192319,4531066,4531070,4531041,4531043,7192278,7953241,5058450,5058449,7953237,7439352,7439351,11212040,7439416,7439415,5230467,5230469,7959801,7170665,4516523,4516524,7170673,10846800,7996114,7996113,11921921,11921920,16724518,11682587,7790315,5056404,5056403,5086195,7991040,11939906,17010841,16982353,11896143,7954946,7954947,5093012,5093011,7958539,5062281,3067161,3067160,5062279,7958536,5062328,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,5129718,3118093,1822330,1822333,3118105,5062176,3067105,3060038,3060035,1802013,1802016,3086355,5087104,7940874,5164434,5164433,7789480,7789482,254817121,16966325,17013512,17013513,15654165,10835284,10835285,12012544,12012543,17027134,16976005,16976004,17097923,16968780,12013230,8071147,8071146,11865658,10879548,10879550,15716329,21775698,17005299,11918579,11918578,17005298,23268760,23244712,23244711,30662258,23247365,267754092,16923818,11844570,11844568,11519837,11519838,16529017,22735307,30116526,38692685,40591830,50639812,48048527,48048526,51640988,256408548,32543644,29291932,29291931,37861096,33268465,25507831,25507830,33268463,33268462,29787941,22422921,16257174,16257175,22422924,29787946,256950825,38359773,29787955,22422929,16257178,11302815,7504134,7504133,268082711,22117847,29451677,38013734,29787505,22422579,22422578,29291477,21964485,16258300,11303590,11303589,15870872,17492268,17492266,12836560,8728919,5682728,3534992,2104085,2104084,3534987,5108558,5480364,8478236,12514587,17693844,24046506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7948048, s2 = 14165377, dlinesl.size( ) = 2 s1 = 7948048, s2 = 14165377, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7948048, Dl.E( ) = 6, 1.31e-05 seconds used appending s1 = 11010354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6472093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6472093, s2 = 7877826, int(edited[s2]) = 0 s1 = 6472093, s2 = 7877826, d1 = 64, d2 = 45 Dl.O(d1) = 254909793,9064978,13280775,15179375,10469816,6902413,6902415,10469827,10305149,6776980,6776979,10305152,14972867,18820610,18820609,25412219,21719458 Dl.O(d2) = 13538653,9267964,9267963,7901400,5022744,3040264,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376193,6060929,9254327,8104502,8104506,12054301,9981709,9981708,12068672,12068673,10530610,6944935,4364374,2615343,1510237,1510236,2615338,4364361,6944913,8113760,10448003,10565633,10543058,6953060,6953062,6952720,4368681,2617474,1511284,856960,856959,1511277,1510911,856798,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059211,6059213,9251668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6472093, s2 = 7877826, dlinesl.size( ) = 8 s1 = 2360349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7877373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7877373, s2 = 11168658, int(edited[s2]) = 0 s1 = 7877373, s2 = 11168658, d1 = 17, d2 = 8 Dl.O(d1) = 17717314,17717315,24073807,26267162,268484741,25147175,32719875,255960656,15223324,10500938,267880933,2605181,2605182,1528742,1528741,254333617,7016149,10629456,15381548,20793984,14901635,10245835,6731988,6731989,6025412,3769428,2258444,2258445,3768816,3768821,3769330,5821796,5821792,5968027,5968028,9120664,13347719 Dl.O(d2) = 86781598,86781600,73168994,60422278,60422277,259796424,257919654,44579423,35201281,27111429,20210350,14502500,9979321,6559097,4109197,254694111,14502496,255753041,35201278,44579420,55426460,258540031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7877373, s2 = 11168658, dlinesl.size( ) = 2 s1 = 7877373, s2 = 11168658, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7877373, Dl.E( ) = 30, 1.41e-05 seconds used appending s1 = 14086711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086711, s2 = 13867680, int(edited[s2]) = 0 s1 = 14086711, s2 = 13867680, d1 = 10, d2 = 6 Dl.O(d1) = 111880492,111880493,106897501,92578438,78531098,65241063,53251768,42799349,42799350,53251769,57833832,65241059,65241060,65145692,65145693,65145690,257605508,42711746,53161384,65145687,78427628,78427631,70535223,70535224,84071426,70535247,70535204,70535205,70535222,61673449,257025044,57833846,269295154,36612023,46478091,53161387,46478096,46478073,36612007,256273554,20960323,28138399,36612010,46478080,57833826,46478077,46478078,57833828,58167243,46799851,36921832,28423497,21200393,21200392,28423495,36921830,256163598,61673453,57955147,50189441,40165167,31480372,256532585,50189439,57875072,57875077,257238624,46578530,255800358,28202145,256288218,20995375,20995376,28176862,36652614,36692177,28202147,21010539,15090163,15090164,21010542,28202155,36692175,46578532,57684998,46578493,36692121,36692120,46578491,57955125,70377140,57685004,46337830,36481787,28020407,28020408,28202156,28202135,28202134,36692118,46578489,46578527,46337825,36692185,28202152,28202151,36692183,36692160,268374826,21010549,21010548,28202164,256288220,46578513,256288204,28202093,21010503,15090146,10407689,10407690,15090147,21010505,28202097,28203747,36692169,36692162,28202133,21010527,15090158,15090159,21010530,256827509,36692153,36692152,28203751,21011817,15091074,10408285,254420234,8602655,10407694,6860612,4305670,4305671,6860614,10407697,15090156,21010523,28202127,28202131,21010525,21010526,255800352,41738698,32817790,32817789,36692141,28202112,21010513,15090152,15090153,21010515,28202116,28202119,21010517,21010518,255800350,26371526,26371527,34248497,28745948,28745949,26257217,19538512,19538513,256180999,43209846,53721732,50841144,40735214,31986465,24431540,18018294,12770483,8680214,8680215,254460985,2369308,3956372,6312545,9610699,13990151,19538553,26257271,34122592,34122587,26257265,26257264,34122585,43209923,40735222,31986476,24431548,18018295,255604377,31986478,26257262,26257263,34122582,43209914,53721806,259101281,107651853,107312752,259087213,77981649,77981650,91905818,106100722,107312749,107312726,92907843,78801760,65471729,65471730,78801764,92907847,91905823,77981653,77981652,91905822,259718091,92907865,78801789,78801788,92907862,107312737,93248957,93248955,260336431,92907871,92907872,107312696,107312712,92907832,78801744,65471721,53451976,53451977,65471723,78801746,89604336,75822304,75822305,78801742,65471720,65471719,270574807,107312701,103719054,103719053,258960889,62858491,62858493,75822287,89604314,103719070,117872476,272329795,135638098,135638097,131699445,117872529,271852062,144947400,134990335,121181664,106914996,105055809,90876925,76998895,63888874,63888875,76998897,90876928,98367981,84458559,258146808,46822919,36945034,256846191,257406530,70678496,57959997,46583528,267959078,21013749,26045224,26045223,33867377,42913043,53379326,65383114,65383169,65383170,78687786,78687789,65383171,258455029,53379403,256687103,26045221,26045222,33867376,33867380,42913047,53379405,53379404,65383188,64733588,52817805,52817806,53379354,53379353,65383137,65383197,53379413,42913054,42913055,53379389,53379390,65383174,78687793,92751103,92751098,92751097,92751106,78687798,65383176,53379392,42913035,33867369,33867370,42913036,52817818,42416248,33425600,255678321,13590298,9305468,9305467,13590295 Dl.O(d2) = 15394929,15394930,21376475,28611916,37122667,256729176,257891224,53169049,53169050,270023815,259139208,84660047,98583502,270387940,61604911,50124989,50124990,61604913,74381412,65153452,65153451,65153445,53169047,53169048,65153446,74381410,85654061,74381417,72066786,72066787,85654057,99604028,113619149,127492907,261708399,263535571,200842205,263571736,185487701,273136242,165321329,165918465,154157487,154157486,165918464,262787202,154157489,141491711,128130287,114243235,114243234,128130283,141491704,154157478,165918456,272855010,165918466,165918461,154157483,154157484,165918463,262225566,261161348,260584390,141491712,154157492,153548501,140873395,129160023,129160022,128130279,114243233,114243232,128130278,141491703,260024218,87153802,87153803,101151749,115229154,129160041,260024216,73535317,60787899,49387025,49387026,60787900,73535319,87153799,87153800,87153791,87153790,258781404,256967772,30854466,255485620,17146490,255984869,39458803,49387024,60787897,49951978,49951977,268940102,258145566,86266652,258740834,72666277,72666278,86266651,86266653,72666280,59926055,48532540,48532539,59926051,49387022,49387021,268649548,55468771,67810460,81278005,271353562,150534723,150534722,272227696,261737384,260012818,271815993,257565450,81278003,95336743,86266647,86266648,100232123,107396072,107396071,121780515,114264511,114264512,109591356,270341126,261096758,107396075,107396076,107396079,107396080,260936793,121780517,107396074,107396073,260936791,148959477,161264430,172463607,182414653,191116960,198606561,204952041,210211474,214511507,218046598,221011057,218046596,218046594,218046595,221011055,221011058,265317297,225743408,227658995,227658994,227658993,225743405,223546138,223546137,221011047,218046582,214511492,210211453,204952005,198606521,263493900,182414624,191116926,198606523,204952006,210211454,214511493,211478714,206482203,200437993,193281361,262730186,175393691,164631861,152794317,140101407,126752061,112899288,98911115,84985435,71411306,58677282,47286060,37376525,255098556,15542808,10749393,7101895,4471421,4471420,2880834,2686081,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879853,4778679,7556286,4778157,2879601,1671118,950786,950787,1671122,2879611,4778202,7556373,11374169,11377285,11276392,11276390,11380603,11380602,16353978,15463898,15463899,15547503,254261608,7104178,4777524,4777523,7555126,7757591,10751334,7103136,7103135,10751329,15545287,254370460,14431149,9926815,6524123,5959931,5959930,6524304,9927138,254263436,15908426,11029703,7304200,7304185,4780051,4780052,4780044,4780047,5257758,8188163,12157497,16330900,22504891,22506116,254348550,7549395,4774351,4774350,7549394,11363084,16332260,22506114,23589647,23589648,22503213,16338722,11368089,11368090,16338566,12171738,11360188,11360186,16328758,11360494,7547703,4773496,2877242,2877244,4773501,7547718,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226192,8226097,5296646,3247562,3247561,5160439,8066630,11348269,7547287,4773269,4773268,4772940,2876972,2876973,4772945,7546707,11358890,11737129,11737130,12150975,11365399,7550811,7550812,11359907,7550831,7550606,7550607,11365037,12184136,12184137,10960220,7254700,7254699,7757335,11643949,15542807,21564836,28836330,37376523,47286059,58677280,71411305,84985433,98911114,112899286,126752060,259385346,112325186,98342279,256947638,36915751,28417948,21195756,16551755,11536573,11536576,11810344,11810355,11810353,16880681,23140887,29797362,29241446,21922293,21922294,29241452,29802668,22436688,22436687,29802663,38374409,48285163,39926933,31251493,23767076,23767075,29496218,24038615,24038616,31541871,40228236,36767397,36767398,31392737,31392735,37195515,37195514,31220466,31220467,39897316,40074258,50095119,59606840,48220116,48220113,49944553,49109422,39179954,30582252,23164500,16901941,11828146,11828145,16901934,23140866,17439098,17439097,23767067,22430909,22430910,29797371,38370085,47727419,38262090,38262088,48171642,59026885,47623974,37701015,29140243,29140240,37701009,47623966,59026868,61726456,61726457,73516634,61726472,61726471,60321691,48923185,38999322,30410328,23005625,23005627,23403534,30831833,37238514,37238513,37238521,30831875,30831876,30833357,30831652,30831654,23403755,23403756,30831539,23403354,23403355,30831513,25117566,25117564,25117557,25117556,30832349,30832018,30832019,29741774,22382834,22382835,23403857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086711, s2 = 13867680, dlinesl.size( ) = 2 s1 = 14086711, s2 = 13867680, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14086711, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 7851020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7851020, s2 = 214621, int(edited[s2]) = 0 s1 = 7851020, s2 = 214621, d1 = 3, d2 = 1 Dl.O(d1) = 46586025,46586027,44596840,35215945,27123254,22631830,22631829,30001324,28853098,22631847,16444705,16444706,22519043,29876056,27123765,27123761,28441179,36940629,38525364,29959997,29959996,24001927,24001928,31500020,40185089,31500324,24002146,24002145,17657652,17657651,24002446,31500746,40185915,44598264,40185240,31500158,31500157,256580964,24001972,23562587,23562586,28064275,27123372,20219528,14509185,9983919,9983920,14509192,13363654,9132898,9132899,13363663,18767218,25348978,29675335,22324423,22324425,29675338,35216531,27123730,20219764,20219766,27123732,24002470,17657665,17657666,256028613,33078279,29747874,22388124,16229349,11282168,11282167,16229346,21215660,15247497,10518766,10518767,15247498,21215662,28441178,36940627,35217420,27124400,27124401,31080802,24001591,24001590,31499532,40184483,40184698,39862417,39862416,40186265,50208288,42795359,40185525,40185526,50207757,48221227,42023759,33079744,25348862,25348864,33079753,40185115,48361858,48361859,47652535,40185067,31500000,24001913,17657345,12486460,8457339,5464684,3360401,1975653,1127830,632409,632410,1127833,1975662,3360422,5464732,8457439,12486642,12486220,12486219,17656904,24001205,30001296,22631813,22631814,256423561,48221204,48221205,50207598,40185293,31500200,24002052,24002049,18767124,13363618,12486482,12486484,17657375,23562587,23562586,28064275,27123372,20219528,14509185,9983919,9983920,14509192,13363654,9132898,9132899,13363663,18767218,25348978,29675335,22324423,16179163,11245846,11245847,16179169,22324436,29675360,36945725,28445972,21219887,15250933,15250932,21219882,17234897,12116154,12116156,17234905,23543314,24002935,24002939,23543320,23543322,27124563,27124565,35217588,27124535,20220270,14509634,14509635,20220275,27124547,33078793,25348169,18766701,13363411,13363407,18766687,18766715,18766713,25348190,28341288,31501265,31501266,267772528,58093074,59207339,59207338,255187574,61224237,72480096,59745049,59745050,58688303,58688302,71421505,61689205,50206735,40184146,257081467,61689207,257664668,53329618,50207010,50207009,50206818,50206819,255614654,20218837,20218839,27122328,26009497,19335548,13827029,255291393,26009492,33827197,42868285,53329618,257716744,52362458,42024259,33080230,25349205,18767365,13363749,13363748,13363754,18767376,25349228,33080264,25349417,25349414,33080521,40185517,40185516,50207752,53084773,53084774,58235988,258273573,258273571,61689556,52511691,42153856,40183772,31498923,31498922,30103664,26224740,19509960,19509963,18970385,13964956,9588676,254951923,19509929,26224687,25449023,18851286,13431149,9182891,6010261,6010262,9182893,13431152,267989843,8051331,11998529,17086075,15599316,10791299,10791298,11325242,7521487,4755600,2866197,2866195,3139581,1835932,1835933,1833107,1833106,3135264,5150976,5167948,3150176,1843018,1051722,591492,329835,329833,591484,1043223,587677,328088,180923,99378,54862,54861,99372,180908,328053,587598,588001,588005,1044618,1830289,3112373,1818762,1818763,1838771,3143764,3156538,3156540,3107883,3107880,5116696,5117531,5100982,3096274,3096276,3103089,3098363,3098359,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590256,1043606,1828469,1827445,1043071,1043072,1827454,1869877,3122801,4680172,2819741,2819742,254384513,3145120,1839695,1839694,254385043,3140044,1836254,1836255,3140045,254571041,5143675,5143676,8052881,7528801,4762008,2870485,2870486,4762010,5151466,5151467,3191459,1867859,1065494,598893,598892,1065491,1867851,3191456,5141372,5141373,5103130,3097728,1809926,1809924,3097724 Dl.O(d2) = 3131642,5114092,3105971,1814878,1814877,3105968,5114086,267903371,5161266,8026232,5115359,5115360,5115494,3107020,3107018,5115489,5174588,3156032,3156033,5133542,5133543,5177803,3159014,3159013,5177799,254825949,8023945,5113098,3105196,3105195,5113095,8023941,8081784,5177798,3159012,3121147,3121146,3133186,3119465,3119464,254379882,11989345,8066819,5160587,3143778,3100577,1811558,1045306,588333,588332,1045302,1831594,3132955,1840232,1050156,1050157,1840234,2879140,2879141,254535721,11371480,15544708,15544707,254834768,20123627,14431937,14431936,20123626,16330916,16326494,16326496,16326560,16326562,12192213,12192211,17317036,15547356,10752895,7104088,7104086,10752891,15547343,21569649,20122809,254396550,9926844,13330757,13330758,11363368,11363365,14432991,9928130,6524882,4088236,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927836,14432595,17316237,17316238,13330880,13330879,12191899,12191900,17316681,14430913,9926635,9926636,14430915,12009274,12009273,16323660,16323661,16712436,16307883,16307882,11354288,7544064,4771581,2876283,2876282,4771579,7544059,11354279,16320149,16304388,11344313,7542605,7542604,11351622,16235379,16319801,11354046,7543933,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538860,11344642,16304920,22019767,29351304,35102190,35102191,29883488,22528475,16355753,11382149,11382150,16355758,22528482,29883495,28315260,28315261,29844179,22972570,16736093,11692767,11692768,16736097,22972574,22106294,15995068,11103748,11103750,15995075,21297909,15927622,15927621,11365282,11365231,7550739,7550744,11045618,7320495,4780638,4780635,5253941,8184324,12153858,11045776,11045775,15922980,22019944,268107050,22473449,22473447,17286761,17286762,12165789,8197149,5267221,4128374,4128373,4596609,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556073,11373719,16345916,254758130,267888242,15924454,15924455,21568207,15546022,10751903,10751904,10751922,7103489,6550265,4103548,2454547,1418863,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871658,3197507,5238148,7305329,11030694,8203893,5275089,3229288,1893693,1893694,3229295,5275102,8203919,8203851,5275072,5275074,7554297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7851020, s2 = 214621, dlinesl.size( ) = 2 s1 = 7851020, s2 = 214621, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7851020, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 8291178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354812, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7559450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6449395, s2 = 14370233, int(edited[s2]) = 0 s1 = 6449395, s2 = 14370233, d1 = 26, d2 = 31 Dl.O(d1) = 254588047,12240902,16173184,11240560,11240559,16173182,255086125,11231029,8581273,5575612,5575611,7712606,4881242,4881241,7712603,8288001,5346630,5346632,267996511,17414505,16164694,12639882,11233742,11233741,16166348,254960684,4881704,4881707,5488443,3379181,1989429,1989430,3379190,2255305,1308966,1308965,2255303,3764188,6017260,9191686,13442407,17781673,16889417,11818208,11818209,16889420,18863181 Dl.O(d2) = 62052423,74850597,72548860,59813654,48427679,38520070,29955221,29955220,38520068,48427675,59813648,49267936,39342285,39342284,49267935,50510134,40474838,256046761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6449395, s2 = 14370233, dlinesl.size( ) = 2 s1 = 6449395, s2 = 14370233, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6449395, Dl.E( ) = 40, 2.1e-05 seconds used appending s1 = 7940520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7940520, s2 = 14105474, int(edited[s2]) = 0 s1 = 7940520, s2 = 14105474, d1 = 7, d2 = 2 Dl.O(d1) = 20424893,20424894,27391514,35561471,45047301,55941908,268042402,27356435,27356436,20601599,20601602,20484761,20484759,26903343,20020534,254073468,6470773,6470774,9851125,9850731,6470392,4054657,4054656,6470390,5868722,3664423,267857871,9153674,13182372,13182023,13182022,18552359,18545239,13176989,8982196,5864102,5864105,5866361,254113254,2191483,3662501,5866364,8985777,254082206,254145504,1134086,254274641,5481789,8480387,12517672,254919180,16450025,22638880,30009951,38581918,40868365,32096581,24521379,18089792,18089793,17187150,254749594,6107862,3821669,3821668,6107859,9324425,13617531,19074347,25700189,33473134,42466336,52870037,46767760,255813718,15214208,10494809,6920414,4347657,4347658,6920415,10494811,15214209,21173164,15214169,15214168,15214349,15214350,21173372,28392384,36889256,28393132,28393131,36890197,36890081,28393033,21173530,15214475,15214474,21173526,21173538,28393046,36890089,46768391,46768525,58136151,58136190,46768443,36890158,28393100,21173564,15214499,10495059 Dl.O(d2) = 4347836,4347837,6920632,10495066,15214515,21173598,28393152,36890218,33782798,25972432,19305391,19305392,21407996,21407995,19268559,13772704,13772703,13803444,9465749,9465747,13803440,19305349,21144613,15192225,15192224,21144611,25972770,19305650,13803619,9465833,6206632,3884778,2326180,2326181,3884781,6206640,9465848,13803653,19305702,19305703,15990226,11100448,11100447,13803490,13803491,19305447,25972509,24337510,19305471,13803504,13803502,19305466,25972534,33025298,25299057,18724439,13329473,254644903,5959436,9107684,11019610,15896132,13773417,13773416,19269374,25931165,19269149,19269148,25930850,19268836,13772937,9442252,9442253,6190051,6190050,9442567,13772925,19268822,25930835,25930936,19268931,18769030,18769029,25350674,25930828,25930829,33737253,28610439,21375368,15394089,15394088,21375365,20250886,14531380,9998921,9998922,14531382,20250889,20251156,20251122,14531570,9999064,6571468,6571467,6571503,4116630,4116631,6571504,9206022,6027083,6027081,9206019,13462035,18890626,25495568,32635489,32635481,24965716,18446939,13104048,8930809,8930808,13104043,18446935,18447056,13104118,13104119,18447057,24965864,18447184,13104209,8930894,5829120,5829116,5829114,5829105,5829106,8930869,13104156,255635743,18463111,14514909,14514910,20227437,27133449,35227650,37802523,37802520,29238989,29238990,37802522,256568292,29239041,21920487,21920485,15835865,15835866,21920501,29239056,37802411,29238892,29238891,21920521,15835878,15835880,21920524,29239081,37802621,47723812,41549631,37802464,29238930,21920407,257265876,17835488,254676622,8575031,6279597,3932054,2354026,1363582,254210335,3932043,6279582,8989464,13187224,18558474,25107860,30284822,25467336,18867143,13942468,9569701,6279642,6279640,9569696,13942462,13942453,13942454,19482885,13942555,12115726,8574949,8574950,12629579,17835340,17234440,12115521,8146191,5218445,5218446,8146195,12115528,17234453,13445870,13445869,13445881,12115641,8146278,8146277,8146318,8146317,8574962,5869241,5869245,8989648,8989660,8989659,13187300,8989668,5869257,5869131,5869132,8989475,8574879,5570841,5570842,8574884,12629496,11967397,8011295,5100119,5100120,8011299,8146199,8146201,5869196,3664756,2193362,2193363,3664763,5869211,8989596,12115469,17234365,12629504,12629503,13942403,9569656,6279613,3932062,3932061,6019420,6019419,9194546,13445890,13445743,9194413,6019319,3765541,3765542,6019321,9194418,13187419,8989631,8989630,8989637,8989636,7326046,7326047,9194387,6019299,6019300,9194392,13445702,17058888,11967392,8011290,8011291,255144231,12115605,8146253,8146252,255155777,13942390,18869220,13445551,13445552,18869222,25469433,23542952,254922712,13942400,19482936,26191953,23543092,255643425,13445735,13445736,17058884,18869238,18869239,25469440,25469691,18869564,13445958,13445957,18869563,25469688,18869685,18869684,25469782,26909325,23324514,23324513,30745653,32810646,31024449,23543049,23543048,31024447,256129592,19482925,25469429,25469428,268297159,13447241,13447240,255665573,13445756,13445755,18869392,13445814,13445816,18869225,13445554,9194254,9194255,13445579,18869241,25469444,25466953,255554304,13443551,9195634,6020191,6020189,9195633,13445470,9194148,254922557,18869153,13447236,254650947,6020142,6020369,9194527,6019410,3765599,3765598,6019408,9194525,13445856,18869230,13445563,9194233,9192997,6018582,6018583,3765460,2256107,2256108,2256144,2256143,3765528,6019294,3766246,3766245,6019282,3765520,2256137,1309572,1309571,2256416,3766037,6020086,9195503,9195439,254922693,9195784,6020304,3766180,2256476,1309596,747573,424781,424780,424782,424747,239750,239751,254113207,1309472,2256241,254113208,6020182,9195628,13447272,9195748,9192845,6018334,6018335,6020382,6020381,254922657,9192909,6018378,6018337,3764960,2255844,1309280,747419,424707,239733,239735,424711,747428,1309298,2255889,3765062,2256343,1309527,747536,747535,1309522,2256341,2256375,1309548,1309546,1309517,1309518,1309620,2256530,3766265,6020425,254922655,9195174,13446781,254650935,3765972,2256371,2256372,3765975,6020001,9195387,254922613,6019641,6019642,6020417,6020416,254445089,3765013,6018417,9192973,9192985,9192987,13443705,18866867,18870904,18870903,25471117,33214476,33214401,33214400,33214675,33214676,42173941,255262570,18866894,18866892,18871397,13447559,268145059,25467297,25467296,33214682,42173898,33214711,25467326,18867130,13443965,9193177,9193179,13443968,18867133,25467331,33214485,33214487,25467568,18867423,18867424,25467082,256129557,25467253,25467252,25471161,33214674,268297136,18866810,18866809,18867077,18867076,18867094,25467283,33214670,268297134,25471601,25467376,25467375,25467442,25471595,18871329,18867126,13443964,9193175,9193173,13443960,18867122,25467319,257152905,32470372,25467257,25467258,25467287,18867100,13443944,9193155,6018538,3765091,3765090,6018535,9193149,13443931,18867067,18871054,18871055,25471357,33214650,42098308,42173939,33214698,33214699,42174080,37026327,256516430,24830727,24830729,25404027,25404028,256639793,52451262,64318862,64407026,64405246,52531994,52451260,42098319,42098320,42174074,33214657,25467272,18867249,18867250,18867087,13443937,13443936,13016936,13016935,13443924,13443925,18867073,256215459,26950157,25404010,25404009,33144110,42098306,52451244,64318845,70821202,64405248,52531995,42174084,33214672,255665507,13443941,13443942,255665503,33214659,35030716,35030715,255741119,14381341,9887051,254469831,2435835,2435838,2435842,2435841,4070702,6496362,9887102,14381402,20065501,26950238,35030782,35030803,35030802,42098329,256516102,18814337,15360971,10612728,10612727,15360969,14381521,9887179,9887180,13403661,14381528,14381527,18814324,25404022,30354562,22952751,16716090,16716091,22952753,30354567,38940819,34641451,254463338,28375116,28375117,36871693,43914853,43914852,39512411,39512397,31762238,31762237,30904307,23469745,23469746,29771933,22408278,22408279,29554886,38120034,34641457,26649951,254311416,14210466,19836356,26649956,34641460,43914861,54657548,60268703,60627655,49239924,39313090,30715061,30665761,30665760,39261215,39299264,39302726,39302710,39302711,36952820,28452559,21225722,15255601,267961179,4362337,254223581,856145,483548,483549,856148,254223585,254494727,10524973,15255709,15255708,10524971,255022965,21225866,28452764,36953124,46831239,46831035,46831036,58197114,70909897,84466153,258035150,70909901,58197118,58197119,70909903,84466155,98375185,112357119,259286584,98375184,98375183,84466159,70909904,70909905,259661367,260873637,260278071,91522166,77591269,64422610,64422609,77591268,259661369,98375194,84466162,84466161,259905843,105745795,105745796,119980472,105745798,105745797,112357129,112357130,261086647,139590639,139590638,152319099,262158345,139590633,139590626,139590625,152319080,164201390,175016149,175016154,263039018,165546054,165546053,165546055,153766064,141096226,127742477,113869139,259178986,141096228,153766067,153766070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7940520, s2 = 14105474, dlinesl.size( ) = 2 s1 = 7940520, s2 = 14105474, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7940520, Dl.E( ) = 8, 8.82e-06 seconds used appending s1 = 11050830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14931372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4205837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7575472, s2 = 1454527, int(edited[s2]) = 0 s1 = 7575472, s2 = 1454527, d1 = 83, d2 = 153 Dl.O(d1) = 268299283 Dl.O(d2) = 38757029,48678622,60074781,58737112,47349383,37442647,28903133,21628552,255848559,37442651,47349387,58737114,71466778,85038786,98963773,98426466,84504992,70941152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7575472, s2 = 1454527, dlinesl.size( ) = 2 s1 = 7575472, s2 = 1454527, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7575472, Dl.E( ) = 160, 5.7e-05 seconds used appending s1 = 744965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 48206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10984200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984200, s2 = 9464007, int(edited[s2]) = 0 s1 = 10984200, s2 = 9464007, d1 = 16, d2 = 27 Dl.O(d1) = 14071014,9676903,6364332,6364330,4363942,4363940,6364316,3993251,2393117,1385040,787827,787828,1385048,2393136,3993294,6061999,6062000,9255978,10560616,10560617,15277682,10543834,10543835,13534117,13534118,18969387,15291387,10556365,10556362,15291383,21255874,21267427,21267426,28483921,36980810,256823830,28464023,21240844,15273216,10539883,10539884,15273218,255554196,19634458,255166170,18963114,13527498,9258334,9258335,13527500,15305917,10569773,10569775,9767983,9767984,14208997,255728933,24811637,255230779,13005971,10539881,254495303,4367770,6950994,10539887,15273221,17575613,13521019,9252772,6059914,3791635,2271336,1317314,1317312,1317913,1317912,2272504,3792624,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,7484806,5193825,3169172,3169167,5193796,3791676,3791678,6059995,5404673,5404672,8374510,12392263,16800019,12063350,12063348,15474163,15474164,10700581,10700582,11694751,11600499,11600496,13521773,9253436,6060369,3791932,3791931,6060412,9253524 Dl.O(d2) = 47808628,256961468,15891623,11016824,7293534,4599708,4599707,7293533,11016822,15891620,21527949,254521378,32094067,28731441,28731440,37263589,29332074,22001362,22001361,21464978,19837765,255091986,34265762,43365319,38296932,29729876,29729877,26635893,19823987,14200295,13380402,13380403,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181853,5777548,8863350,13017907,18338466,24832094,32471889,41317717,257740427,63255634,55269644,44422260,44422259,50511665,40476476,31781876,31781877,35047663,26966835,20081912,14398517,14398516,20081909,26966828,35047655,44422261,55269646,67610853,81078542,73379392,60633258,49232310,39305690,30707955,23291582,17031732,11946179,7996173,5090174,3088931,3076479,1795037,1795036,1030864,580915,324865,324864,580913,1030857,1805234,1789439,1020389,1020390,1789441,3069293,3078578,254175937,577549,577548,1024962,1796360,1796376,1796375,1572154,893861,504298,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1017012,580288,324518,324519,575019,1020501,1789616,1783482,1017124,1017125,1783483,3059363,1794687,1023885,576944,576945,1023886,1784914,3062077,3055898,3055896,5045424,3058850,3058849,3075369,3075368,5066776,3075590,1794382,1031894,1031895,1806762,3052801,1778527,1778528,3052802,5042043,7931085,254257050,1796340,1796342,3063352,3069247,3065846,3065845,3092506,5094857,5088144,3091172,3091171,5093349,7998206,5093917,5093916,7979558,11882572,7943919,5052043,3079413,3060729,3060728,5051965,7938398,7938397,7993373,10834979,7954192,7934904,5068600,3072347,3072346,5068598,5053896,5053895,5060150,3072263,3072264,5067150,5067151,7964892,11898740,7957196,5061123,3066276,1787355,1019121,574297,574298,1019128,1787369,3066297,5061154,4700812,2832070,1643089,1643088,2832065,4700799,5091627,5091625,7997954,5091407,3089782,1804685,1030454,1030455,1787142,1787140,3065871,5060414,7956075,7954168,5059095,3752471,2247125,1303455,743750,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073709,3076633,1795160,254253841,3076640,254381314,11918544,17005278,23261108,23367303,23367304,23235720,23235722,16990647,11905389,7962982,5065693,3069829,3069828,5065691,7790299,11682557,16724485,22960357,17018704,11934767,8069806,254385974,5061705,7947773,5054381,5054379,5053512,3061521,1784610,1017691,573589,573590,1017698,1784629,3061556,5053577,7946403,5078775,5078774,7941032,7941033,11878685,11884381,11213224,7440227,4701249,4701250,7440192,11213163,16140867,17017449,15653774,15653773,21694128,254823928,16014509,11900995,7959182,7959181,11900993,11901325,7959446,7959447,9609176,6311573,3955770,3955772,6311576,9609180,10398970,15076512,17527992,12361806,8352697,5391274,5391273,8349258,8353930,8351905,8351904,8351874,5390704,5389739,3314874,1950041,1950042,3314877,1950266,1114159,625254,347411,190501,104023,57196,57193,104007,190458,347325,625049,1113789,1949675,3314218,5389741,8350476,12358991,12358990,12358991,12358992,12358993,17524741,23869047,31363404,40043614,50063078,40409442,31717525,24209940,17839835,17839837,22403858,22781682,16566122,11547764,11547763,16566120,16571130,16571131,17846503,22787005,22787004,30175715,24216545,254785916,15238234,10511892,6931804,6931803,10511886,15238211,21204030,28427676,26631046,24930361,18419091,18419090,19657568,14090312,9691428,6374495,3999795,3999796,6374506,9691453,12028427,11838577,11838578,16915919,17767079,19656954,15466864,15466863,21468440,19660543,14092562,12032999,12032998,16916337,18681297,19821282,26632601,254537750,14092007,9692504,254297606,12028874,8086910,5181383,5181380,8086901,12028862,12031230,8088358,8088355,9690477,9690476,14087356,14087352,14087353,255257404,43364882,53888944,257192246,65955720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984200, s2 = 9464007, dlinesl.size( ) = 2 s1 = 10984200, s2 = 9464007, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10984200, Dl.E( ) = 28, 2e-05 seconds used appending s1 = 7951338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 724366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 754164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8087368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13160051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13160051, s2 = 6439896, int(edited[s2]) = 0 s1 = 13160051, s2 = 6439896, d1 = 4, d2 = 16 Dl.O(d1) = 4505445,7154168,254083044,19302786,18205192,12912387,8783577,5720566,5720565,8783576,12912385,18205187,24667688,269099206,12912373,12912374,18205167,24667665,256586869,268760414,24667684,24667685,256586871,24667687,24667686,24667668,24667667,32275000,32275013,33690513,25883898,254454392,254940944,24667671,24667670,19224372,13733002,254664119,3856964,2310752,2310751,3856963,6164028,254305700,254664116,13732991,9408060,9408061,13732992,19224354,25883897,33690511,25883904,255692330,51967532,268761557,13732997,19224362,25883902,33690510,42720714,42720719,33690521,25883906,25883905,33690520,42720723,51967533,268152674,256159062,53170384,42720706,33690505,33690504,256676371,25883899,25883900,256676373,53170405,65154932,257825889,53170389,270023937,92473999,272405362,106780465,92473981,78437267,78437265,78437264,92473980,106780463,260910197,106780498,259700042,65154927,65154928,65154936,65154938,78437301,92474009,92474010,260315745,134834562,147955874,262008042,271583090,259071258,92474017,106780504,121035275 Dl.O(d2) = 66439,122289,222453,397852,705421,1242039,1204479,678834,678836,1204486,1204563,678871,678873,1204568,2093637,2166918,2166921,2168594,2168543,1255173,1255176,2168499,2168501,3630610,5819941,8918229,13087161,255633883,24714384,18424633,18424629,255622321,268277929,12939484,12939485,18241660,24714341,32330154,256391527,22224952,16091757,16091756,22224951,29571582,31907809,32599043,24936805,256093043,41145007,32330144,32330145,41145009,51330370,63011296,72183967,59445748,48054128,48054127,51331328,41146028,32331003,24714982,18242122,18242123,24714985,32331008,39099178,30503332,23089293,23089294,256460827,48052500,38139197,29572931,22226062,16092668,11177173,11177172,16092661,22226048,29572906,38139160,48052461,257174620,29575076,22227825,16094094,16094092,22227823,22224609,22224608,255895475,16092516,16092517,22225871,256391547,22225148,255895413,16092629,16092631,22226011,255643940,16091628,16091629,22224827,29571458,22225232,16092041,11176725,7415510,4685925,4685924,7415179,11176280,7415113,7415115,255080805,4685566,2823147,2823148,4685528,4685530,4686079,2823529,2823528,4686089,7415091,11176248,255457339,22224570,22224571,22225147,16091949,16091948,22225145,22227685,16093978,255457641,16091994,11176689,7415477,7415476,11176687,11177141,11177142,15137797,16092489,254769523,7415701,7415425,254769483,11178187,7416650,7416649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13160051, s2 = 6439896, dlinesl.size( ) = 12 s1 = 9843519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9843519, s2 = 7443648, int(edited[s2]) = 0 s1 = 9843519, s2 = 7443648, d1 = 2, d2 = 39 Dl.O(d1) = 25917059 Dl.O(d2) = 266709647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9843519, s2 = 7443648, dlinesl.size( ) = 2 s1 = 9843519, s2 = 7443648, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9843519, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 756658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16238642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14182193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1471428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 184135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6652954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1137548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 765423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7823300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6445472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9831923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13180203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13180203, s2 = 8422482, int(edited[s2]) = 0 s1 = 13180203, s2 = 8422482, d1 = 21, d2 = 12 Dl.O(d1) = 267870740,11485054,11485053,16483681,22681889,21782172,15723197,10886585,10886586,15723201,21782175,25144913,28942186,24331570,22091070,22091071,254229770,17661788,17661787,24007826,31507216,35031291,26950850,20066248,14382193 Dl.O(d2) = 260081971,118015556,258967592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13180203, s2 = 8422482, dlinesl.size( ) = 8 s1 = 13367843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13367843, s2 = 7150589, int(edited[s2]) = 0 s1 = 13367843, s2 = 7150589, d1 = 24, d2 = 28 Dl.O(d1) = 53912245,46712495,46712494,53912217,53912218,58084067,53912322,43387991,34288650,34288649,43387987,43387963,43387899,34288587,26412977,19677499,14106505,9703220,6382182,6382183,9703223,14106511,19677510,26412998,31222812,23739474,23739475,31222814,34582242,26595076,19789599,19789600,26595078,34288619,26412999,26413001,34288621,26413066,26413067,34288701,34288709,26413072,26413071,34288707,37393317,32888659,26413074,26413073,34288710,34288607,34288606,43387925,43388031,34288694,26413064,19677549,14106540 Dl.O(d2) = 273893550,264824340,263986994,272272402,140777695,153457715,165257109,175959012,185441553,263248350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13367843, s2 = 7150589, dlinesl.size( ) = 2 s1 = 13367843, s2 = 7150589, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13367843, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 597546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 109461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6510140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6510140, s2 = 3738296, int(edited[s2]) = 0 s1 = 6510140, s2 = 3738296, d1 = 40, d2 = 7 Dl.O(d1) = 255394674,28514487,34188287,34620469,34620468,40413521,31721669,24214433,255481984,34269196,43368421,53892318,52005700,41693447,32776428,25079087,18535790,18535791,14197526,14197525,19820182,19345781,19345780,16217429,16217427,19658340,14090920,9691834,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349 Dl.O(d2) = 129678137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6510140, s2 = 3738296, dlinesl.size( ) = 26 s1 = 6796726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796726, s2 = 11029060, int(edited[s2]) = 0 s1 = 6796726, s2 = 11029060, d1 = 34, d2 = 16 Dl.O(d1) = 258626342,14201162,9762237,9762238,14201167,19825055,17852919,254708016,40427338,50465098,40443094,40443095,256722898,43899205,43899204,49022512,60426118,52453253,42100794,38640974,30066205,30066206,31748506,24237407,24237408,31748510,25406527,18816198,17887245,17887244,24265891,26355366,34230048,34230049,40447584,31752409,31752410,40447588,35331647,35331648,44759512,42100601,42100600,43899111,34626845,34626843,42100749,268491278,25406634,33146987,42100917,38179764,29612957,22262247,16122017,16122018,22262249,24266092,24266091,25406569,25406568,33146888,25406560,18816214,18816216,22687739,16487743,11487705,7640701,7640700,11487701,16487736,13404643,13404644,9164394,9164395,13404650,18816206,25406542,33146790,25406490,25406488,26620312,26620313,34608699,34626968,38640959,48555737,54642357,43899259,256200853,26637084,34626972,43899257,40466861,31771949,24259799,24259798,254964068,46859731,268538436,66882028,66882029,72686437,59947812,256551378,38640966,48555740,59480807,54621863,54621861,64320473,58025084,46652918,268610802,34608751,34608752,34608791,43879599,48555729,38640938,30066174,22687714,22687715,30066177,38640943,33146932,25406599,25406601,33146938,30066122,22687678,22687679,26620386,19810615,14190228,14190227,19810612,26620381,28273005,26620357,19810597,14190219,14190218,15134809,15134810,21069963,28272992,36768035,46652677,58024906,53852703,53852702,46652586,36767931,36767930,40442843,31771976,31771974,40466886,50502956,58024807,70538117,70538116,59947856,48555809,38641029,38641028,48555806,48555708,38640916,30066161,22687702,21069923,21069924,22687668,22687666,30066105,38640863,36767922,28272924,21069920,21069919,28272920,36767915,46652565,46652697,36768050,36768049,34608743,28272977,28272978,28272990,28272989,36768029,38640853,43879558,43879559,46652690,53852699,46652592,36767939,28272932,28272931,31771979,24259818,24259819,31771982,40466888,50502958,61994870,70738857,70738858,58025015,46652840,36768173,255824288,268376547,15134851,21070037,28273119,36768223,46652901,58025077,61994869,58024998,58024997,58024872,58024860,46652625,36767979,36767978,36768103,46652579,36767924,36767923,46652575,58024820,70738864,58024942,58024943,70738929,70738987,58025071,58025070,58025042,58025043,58025051,46652873,256137432,59947759,59947760,72686406,70704357,58025021,58025024,256852932,38084192,29519532,22177052,22177050,29050095,21756078,15701708,15701711,21756082,29050103,37598074,47502015,47995638,47995637,52043609,41728896,32808594,25106394,25106393,32808590,34133190,38083366,29518758,29518757,38083362,38083388,38083387,29518963,29518962,38083558,38083565,29518969,29518966,38083560,47995607,59383667,59383666,59384933,47995737,38083531,255453524,38084223,47996425,47996417,47996418,47995642,47995640,47996362,38084151,29519490,22177020,16051520,16051519,22177017,29519483,29519500,29519543,22177064,22177063,29050111,37598081,47502027,46579398,46579397,41424142,32564015,24912078,24912079,32564018,41424146,51666441,51666447,59385542,59384969,47995774,255890860,47995725,41424137,32564010,24912073,18406667,18406666,24912071,32564004,41424132,51666433,59384957,64568964,52668504,42281292,42281291,52668500,59385550,48479864,259320738,48479849,59871681,53724517,48479919,38653410,30076695,29995960,29995962,38566398,48479882,50250537,50250536,59871715,72609932,74182531,61402555,61402557,256942024,257530672,31226351,31226352,39903121,49922782,53192059,53192057,42742504,33712790,25906376,25906375,33712787,42742496,268944038,53722517,59871702,65781085,53724509,43212628,43212627,256408106,48316952,48316951,256408104,61402565,49922845,49922844,256950460,58881218,59703823,49922840,49922841,50250540,40230644,269000703,61729057,257521830,42742497,53192052,65177762,71766834,65951242,53884358,43360145,34260247,34260248,43360147,53724502,43212622,43212621,49922780,39903118,31226349,256408116,39298301,39298302,48316972,48316973,59703831,70301137,57610551,46266066,46266065,38406276,29834450,29834451,38406279,38406283,48316965,59703825,50250548,40230648,31544271,31544272,40230651,48555763,42693215,33662686,33662687,42693218,256950462,47619485,47619481,256488076,34260243,255151318,19648041,26382457,34260250,43360148,53884362,47619410,37696159,37696160,39298303,49225309,60626505,71766809,59703838,48316980,38406291,29834465,22467731,22467730,29834462,29135519,21828429,21828427,29135515,37696198,47619453,257530676,59023054,59023020,47619417,43875058,34604606,26616922,19807913,19807914,26616928,34604614,37597969,37597987,256156968,37598002,29050066,21756067,21756069,29050070,256895137,58881268,66875306,71417806 Dl.O(d2) = 255564684,26002087,26002086,31803697,31803701,26043850,26043851,31076786,23593390,17281225,17281223,23593382,31076778,269456864,5748297,254290441,1230786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6796726, s2 = 11029060, dlinesl.size( ) = 2 s1 = 6796726, s2 = 11029060, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6796726, Dl.E( ) = 36, 2.91e-05 seconds used appending s1 = 11062418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062418, s2 = 198003, int(edited[s2]) = 0 s1 = 11062418, s2 = 198003, d1 = 0, d2 = 25 Dl.O(d1) = 14530398 Dl.O(d2) = 255592544,17886550,12669195,12669196,17886553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062418, s2 = 198003, dlinesl.size( ) = 2 s1 = 11062418, s2 = 198003, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11062418, Dl.E( ) = 26, 1.72e-05 seconds used appending s1 = 14042833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6512337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345985, s2 = 1881824, int(edited[s2]) = 0 s1 = 10345985, s2 = 1881824, d1 = 31, d2 = 65 Dl.O(d1) = 73082605,60342814,258188905,60342816,60342815,60342814,48945893,39022911 Dl.O(d2) = 16620152,255499380,38819511,268415518,256986225,30236086,38819513,48739775,60134561,256070886,43944254,257132116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14546083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14276661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14276661, s2 = 7826329, int(edited[s2]) = 0 s1 = 14276661, s2 = 7826329, d1 = 7, d2 = 4 Dl.O(d1) = 512160,908220,1597658,2756047,4580939,7263972,10974635,15837049,16828724,15836207,10974115,7263688,7263685,7262663,7262664,9181549,9181548,9181538,9181540,7373613,4658226,2806373,2806374,4658231,4580846,4580845,7263750,10974228,7373595,4658246,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598,21917835,15834119,10972840,7262973,7262972,10972835,15834102,15837100,15837099,15833352,15833349,14462770,9950281,9950280,14462764,16012894,16012896,15836117,15833147,10972208,7262647,7262648,10972311,11117099,7373468,4658150,2806330,1628040,1628042,2806340,4658165,7373493,9182045,7263946,7263947,10974590,15836973,17653503,17653500,13429182,11767827,11767830,16828282,18848518,25445580,25444724,18847710,13428634,9181296,9181298,13428387,18847338,25444320,21922861,21922859,24563014,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660 Dl.O(d2) = 7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723860,21750767,29011620,21724524,21724525,17338900,17338899,23655784,29021749,29010451,29005398,21723721,21723723,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,24228972,24228975,29005803,31743633,29012699,29012698,37558936,31746707,31746708,40435951,37586183,29038662,21746421,15694726,15692672,15692676,21743548,29011845,37558211,31746487,255591431,17861196,256043971,17859729,24233576,31743589,31739824,24235867,17861270,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688757,1688753,2911049,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,15678782,15678784,21723874,21724466,21724470,21723888,15679267,15679263,21723513,15678578,15678579,21723522,21723718,29010190,37556383,37589159,37568624,37557752,29011357,29011355,21743510,15692652,10863608,7182620,7182618,10863598,10440394,10440392,6882702,6882704,10440410,15137643,21073940,28278105,21724272,21724275,16901326,16901323,21739009,21739010,29029846,29029845,37577036,29046943,21753623,21753624,29046949,29038722,21746469,15694759,10864943,10854710,7176432,4520657,2717200,1574478,1574482,2717144,2717141,4520552,7176256,10854413,15675710,21115659,15693487,15692976,15692973,21743950,29012484,21725237,21725236,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,505545,896194,1574099,895011,895009,1573939,1575708,2716412,1576169,896107,896106,1576166,2719478,4524287,254746141,7179092,7178809,4525444,4525443,7183295,4724778,2846769,1651676,1651675,2846746,254531065,11261428,16200195,22350966,16360978,11385816,7564329,7564331,4782953,2882140,2882143,4782959,5594517,5594519,254876863,17896401,24276758,31790414,40485491,50521071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14276661, s2 = 7826329, dlinesl.size( ) = 2 s1 = 14276661, s2 = 7826329, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14276661, Dl.E( ) = 12, 1.88e-05 seconds used appending s1 = 1837283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 783342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6712356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14075741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1692782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1692782, s2 = 7940631, int(edited[s2]) = 0 s1 = 1692782, s2 = 7940631, d1 = 6, d2 = 13 Dl.O(d1) = 256962047,59818103,48432171,48432172,59818105,72553326,78665711,65361702,53358299,42892660,33848195,26027511,24200721,17831454,17781131,17781132,23145946,17831270,12626170,8572011,5567868,3451875,2045175,1172572,658193,658191,1172565,2045151,2275036,3798308,3473092,3473091,5502371,8500668,8610898,6360698,6360697,8515554,5513737,3991201,3991203,6360705,9670778,14061434,19620917,23146981,16886561,16886559,23146976,30564143,31694150,24185749,17817149,12614639,8562729,8562730,12614644,17817162,14444151,9936599,9936598,14444149,20138020,27030542,35117158,44494241,35117161,29376237,25663745,19043889,19043890,21820859,29127674,31487137,31487138,25735133,25735134,29128426,21821637,21821639,26349813,26349814,26637758,26637759,31667138,24157782,24157781,31174750,31174749,31707621,31707623,27030566,20138036,14444161,14444163,17831348,12626229,8572057,5567913,3451871,2045173,1172572,658193,658191,1172565,2045151,2275036,3798308,3473092,3473091,5502371,8500668,8610898,6360698,6360697,8515554,5513737,3991201,3991203,6360709,9120888,13348050,18748598,25327683,31708147,24200810,24160336,24160335,23155188,16893860,16893862,19629227,23969232,17619793,12438086,8406651,5424676,5424678,8406658,8525631,12571371,17765076,17110041,12023708,8083600,5179422,5179424,8083609,8574466,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,15754493,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544 Dl.O(d2) = 30434153,39023674,48946454,60343272,73083033,70966268,58250015,46882704,46882705,48100373,48100372,59488927,60357404,48961961,39040517,30451144,23043057,20931059,15023106,10350948,6815710,6432847,4035520,2418337,2418336,1860926,1061961,597044,332795,183208,183211,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,1599888,909577,909578,1599937,2760005,3175511,3177988,3177989,5208973,8130400,12090052,17193643,23475672,22176900,22176899,29519338,38084009,47996253,59385375,59385376,61563944,256359274,39157989,39157990,49087585,48158181,48158182,49774068,269322650,72115133,67681003,67681002,59544958,48158167,48158166,59385352,47996159,38083913,38083914,29519246,22176827,16051402,11145263,7392447,7392446,255077599,22176820,29519235,22176823,22176822,29519237,38083901,47996144,48979456,39828301,39828302,48701928,48701929,43300506,34202435,34202434,43300505,50933935,59980323,65893282,53825696,256172218,42501206,33502636,25724765,19093686,13631872,9334369,9334367,13631869,19093683,25724760,26329119,20919342,20919343,28093743,32053551,24487655,24487656,24487410,18064099,13125783,8946451,8946455,13126408,12126902,254670244,12126904,17244447,23552976,31034611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1692782, s2 = 7940631, dlinesl.size( ) = 2 s1 = 1692782, s2 = 7940631, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1692782, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 14120819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8254724, s2 = 16301740, int(edited[s2]) = 0 s1 = 8254724, s2 = 16301740, d1 = 7, d2 = 9 Dl.O(d1) = 146815826,133557027,119681710,258434158,146815829,159190906,170531941,180665594,180665593,180665597,170531926,259690924,146815816,159190891,260901112,170531923,170531922,170531918,170531917,171259822,260901116,159190902,146815825,146815824,147759991,272019154,180665605,261999506,160023541,261999504,134629291,147759990,261999512,272723841,106681226,92377978,78345601,65066753,53083996,42635730,33609980,25811325,19162963,19162964,25811327,33609985,42635732,42635743,42635744,53084003,257566110,44661507,257925255,55522690,55522689,67873330,64437691,52562512,42202540,33241526,25491679,18887551,13459833,13459832,18887549,25491676,33241520,42202534,52562503,64437685,257512803,38125600,29560118,22214759,16083185,11169465,7410189,7410190,254845087,5349867,5349866,8292507,8403555,8403556,12434242,17616200,23966394,23429065,17151948,17151947,23326328,23326329,23917437,17575518,12403675,8382714,8382713,12403671,10569016,6971130,4379434,2622894,2622893,4379429,6971114,7246889,10950301,10950398,10950396,15803168,13535232,9265031,6068555,6068556,9265035,13535241,15305496,21267087,254147676,23159818,17439417,12293066,8302726,5356883,5356881,8302719,12293048,17439395,12409747,9244810,6054842,3788888,3788889,4251818,5409739,8383064,10983130,12380486,12380485,254726450,30165868,38519809,38519810,48427426,59813421,72548656,72818778,60081412,48685201,48685202,60081413,58673140,47281897,37372495,28832800,21562097,15540856,10748054,7101013,4470906,2686189,1556049,884701,499201,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,1556484,1556483,1556368,1556369,2686834,2881164,2881162,4472424,2881077,1671820,951117,536338,300744,300745,536342,951126,1671836,2881110,4780684,7104347,4472804,2687220,1671431,1671430,2880233,2880317,1671474,950957,950956,1671472,2880313,4779508,4730446,2850069,1653646,1653647,2850070,4730449,7485494,11276441,11372168,11010612,11010613,12174027,16221176,12173068,12173069,11382805,7562495,4781947,2881615,1672109,1672111,2881617,4781950,7562502,11382818,16356635,22502185,16350100,16350101,11377491,7558816,4779715,2880417,1671524,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445873,4088365,254263692,14433506,20125302,27016972,27017149,29872332,23635917,17320207,12195353,12195352,17320205,20198739,14493170,9972147,6553915,6553914,9972145,14493167,11369345,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283901,16231380,12171201,12171200,16235322,16235321,22395109,20198959,14493384,14493383,20198957,27098474,35102417,267907568,14431948,14431947,20123646,27015832,254183392,23856506,23856505,27018741,20127853,14435948,14435949,17658136,12672606,12211270,12211267,16314894,16787442,16787441,22493042 Dl.O(d2) = 29553421,22931924,16697261,16697262,22931929,22389751,22389752,16341129,11369980,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,16122970,22263458,22263544,22263545,22491283,16318018,11352904,11352905,16318023,16302470,11343207,11343208,16302474,22471886,23543883,29844108,22477444,22477443,29844105,29989850,37918516,29856691,29847006,22481107,22481106,29847004,33025531,25299367,18724811,13329735,9107841,9107842,13329737,18724818,22497429,22498159,22019761,15918374,11040391,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315640,16302477,11343210,7538110,7538111,10454963,6891639,6891638,10454960,15160126,21105050,28315170,22020459,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337366,22511207,17514723,17514649,17514647,22516749,23857847,20302899,14570195,254518966,6589507,10026170,10026205,14570254,20302957,20302958,27232087,22512866,16339150,16339148,22512865,18726135,13330870,9108575,8195957,6550493,6550491,9107912,5959578,3726964,2231430,1294084,738628,738629,738640,738639,1294116,2231496,3727109,2445835,2445834,4088231,6524856,9928072,14432926,20124686,17320845,17320844,12213195,12170879,12170877,17292076,16349985,16349986,22523056,28833192,21562387,15541054,15541053,14434353,9929083,9929084,12178238,8209817,8209818,12178232,17300250,23566406,17255037,12135195,8165209,5235022,5235023,8165213,12135205,12173539,12173543,17294761,17288066,12167025,12167026,13330708,9108457,9108456,11362651,11362402,11362367,7548911,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545207,8210112,8210110,12178488,11354523,11354524,16320534,11354685,7544266,4771685,4771684,7544260,11354676,16320766,16321058,11354848,11354847,11348778,11348780,12514374,11354869,11354831,7544349,4771721,2876356,1669583,950051,950052,1669588,1669566,950045,950044,1669560,2876313,3722667,5952674,9098168,13317647,18710804,21102938,28313273,29853652,22501632,22475120,16305002,11344686,7538882,7538884,11344696,16305018,16323657,254806568,38324528,38324527,254832398,31549861,24046160,24046159,29614124,22263165,22263164,22484509,16312736,11349584,7541446,7541445,8228199,7541452,4770240,254535479,7315379,4770076,2875554,2875553,4770072,7541092,11348887,12117330,8148281,5220165,5220166,8148287,12117340,17235670,23543889,31025137,29854320,22489153,16316275,11351783,11351784,16316280,16234330,16234329,22394347,16309416,16309415,16316227,16316228,22489101,23654101,23654102,22479859,22479857,21297357,21297359,16344573,16344574,11397314,7572880,7431418,4695972,2829403,2829405,4388659,4388663,6984418,10587825,15329778,21297018,268257140,38771824,48693811,58432881,53898182,43374391,38878238,38878237,48800565,46271360,36418756,36418755,39716275,39716276,49734828,48800570,38878244,30292330,22893988,16664293,254801483,4351969,2606398,1700374,1700375,2606380,1504083,1504082,2606376,4351952,4813260,4867636,4894886,4894885,7732039,11612277,11411218,7582984,4796334,4796333,7582982,7684026,7684025,10350203,11458650,11442034,7608612,4813483,4813482,4816802,4816801,4895172,2950065,2950064,4895168,7732412,11612731,16644793,22872836,30269894,38854102,267984902,16644792,254807670,30269891,38854097,268654428,59429406,48037245,38123965,29558461,255456389,13461926,9205970,6027056,6027057,8788622,8788621,12919610,18215270,24681104,267967006,11594973,11594976,12606402,12606401,17807544,24175510,31683812,38822068,30238824,30238823,34003454,34003453,43061393,53540448,48810769,268959886,30302291,22903351,16672250,255504941,16672242,11637171,7752832,7752833,11637172,255504939,256448501,48810727,49276264,60677383,73425436,84108422,70571711,70571710,57869907,46513666,46513667,36646158,36646159,46513669,44543049,44543048,55390295,67730636,81196041,70680872,57962388,57962315,57962314,55347473,44501130,44501129,44543045,55390285,44543037,44543038,55390287,46613042,46613041,46613020,36725512,36725510,36646246,28170742,256001806,28722762,21466560,21466561,255551442,36725453,35123281,35123280,44501112,55347459,58267686,46901804,37024091,37024093,46901807,57870089,59303618,47908861,37992679,37992680,39008026,30418713,23013630,16773850,16773852,23013628,30418705,39008017,48931708,59303578,55347518,48931680,39007986,39007985,48931678,57989123,46612891,46612890,256511066,35123287,35123288,44501126,37099180,37099182,44501202,44501203,55347558,55347512,46425225,36561042,36561044,46425228,57780200,48931719,48931720,50527629,50527631,48931671,48931672,47908945,47908944,59303596,47908835,37992804,37992803,47908949,59303685,59303655,47908920,255887638,29430585,37992762,47908923,47908910,37992753,29430571,256381319,257503543,59303507,59303506,258113509,57780196,57780195,48672527,47946863,47946864,47908962,47908961,59303569,59303570,47946875,38033048,37992633,29430462,22098866,22098865,29430461,37992632,37992390,37992391,29430367,29430368,23810287,23810288,21360236,15382081,15382082,21360239,28592168,21466523,16635605,11604268,11604267,16635599,22862550,30258195,24076936,255499526,31797165,268198262,29670358,29670360,38235729,48145726,50290373,40269183,31582271,31582270,28722818,21466600,21466601,24304952,31821454,28569637,21341893,15367319,10617920,10617921,15367325,21341902,28569649,28722736,21466542,15465557,10693905,7064974,7064976,10693911,15465566,21466559,21360217,17063346,11971720,8015998,8015999,11971724,16994235,16994234,23257116,16994242,11908813,7965640,5067765,3071591,254175575,575616,1021569,1791219,254378109,5067769,7965649,11908830,268242857,30672961,256290898,21024846,255012643,10414716,15100707,21024854,28219975,36712639,33191852,33191853,42150452,52507997,60636815,49236158,39309439,30711810,23295325,17035595,11949875,7999162,5092151,3090204,3090206,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10727664,15511498,15005151,10335245,9757377,8597061,5586132,5586131,8597059,12661332,268065748,11338859,11338858,16296862,22465047,29832233,36486347,28024245,28024244,36486343,28895323,21630784,15599726,15599725,13283844,9067275,9067277,11512429,7658294,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,1291913,737387,419120,419119,737385,1291907,2227477,254070218,9092419,13311442,18704624,18746879,25325880,27277777,25303054,20354814,20167693,14600659,10046596,10046597,13785417,19283814,268140286,14601102,12864242,8748699,5696098,3544169,3544170,5696099,255219977,24585133,32171008,40950512,51093867,62726043,71833555,59093660,255249310,21897712,15819034,10962800,10962804,14598963,10045418,6601321,4135574,4135577,6601327,10045427,10376745,6837511,6837509,10376740,11269340,11269342,14991757,10322906,6792175,6792176,254217986,258003811,83966478,257387276,83966478,272162925,118790250,268284530,75797983,76592875,256605628,256605631,255633483,13081630,8914134,8914135,268134723,32590239,41467261,51736233,63513962,257158810,51736232,63513960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8254724, s2 = 16301740, dlinesl.size( ) = 2 s1 = 8254724, s2 = 16301740, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8254724, Dl.E( ) = 10, 1.1e-05 seconds used appending s1 = 14070807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6469821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1388582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1388582, s2 = 13479878, int(edited[s2]) = 0 s1 = 1388582, s2 = 13479878, d1 = 23, d2 = 41 Dl.O(d1) = 35326505,27202124,20274995 Dl.O(d2) = 16410464,268229835,22593627,29958051,38523091,38523092,257542517,59816616,48430767,38523096,38523097,48430769,59816624,268951683,29958043,29958045,256961919,39084632,255959073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1388582, s2 = 13479878, dlinesl.size( ) = 2 s1 = 1388582, s2 = 13479878, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1388582, Dl.E( ) = 42, 2.31e-05 seconds used appending s1 = 7972009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14083385, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14885195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14885195, s2 = 14056311, int(edited[s2]) = 0 s1 = 14885195, s2 = 14056311, d1 = 24, d2 = 12 Dl.O(d1) = 257940515,256771189,35503878,44968362,269663915,258303636,55926452,56170659,68655830,82185750,69987203,258607577,97423283,272963180,262792858,96107007,82072337,257944757,45451273,257354347,69106620,82636385,96617679,260186920,68966896,67927873,258546941,259802355,96439279,259830223,124254760,110146057,260427967,272476143,261037433,111285727,97280659,83352455,69807512,69807511,259230449,111285724,125164453,125231449,111375796,97392955,97392956,259479618,151326344,163227887,263818407,265519739,265592962,232319705,274546317,227887563,226008413,274330091,218466962,274076287,205674815,199462046,192121109,263813526,150874564,261019799,110323980,270702759,270702761,258588295,257359635,45606279,56759514,258588293,271238073,96160786,82132524,68607024,56130997,45128128,35617568,35617567,45128126,56130995,68607020,82132522,96160784,103752187,103752185,260944399,107639006,107639007,122014098,259480870,96788540,97158962,83232400,257975699,57078920,57489793,270373160,27908006,20764337,14883320,10233818,10233819,14883323,20764339,27908008,256800549,57457082,258611833,63789722,51974855,257759163,76899083,259123766,100166195,86203812,86203814,258494164,271248133,272138973,261039353,259855563,83521464,69988206,259235105,82414215,69041691,258497450,258497452,110532079,96412530,258576639,56378108,45319698,35752057,35752056,45319696,257954429,259204937,110532074,261023565,131149903,117346999,103218121,96412528,82414218,257954431,56378106,46120547,256263731,20752786,14875671,14875672,20752789,27891207,36314652,46120549,258610187,259857321,125284860,272810963,260692904,96439608,259830231,124568628,138100692,262107869,263046269,192151513,199487733,263575091,273137275,154306069,141653255,128304209,260038571,86447811,72852740,257565379,38800228,30216166,30216167,38800229,48721202,44101313,44101312,54910215,56248549,45221506,45221504,38028725,35596948,27414792,20440084,14667502,10088146,10088149,10109936,6645178,6645179,10118141,10119129,10118967,6644266,6644146,4159714,4159712,6644178,10118812,14715517,255769399,35766946,45343473,56411759,68929837,270718265,110558701,124329394,260389464,82018556,68494073,56033879,45054068,45054069,269669199,82018560,82899875,69379092,68675687,56188805,257544516,82203861,96023184,96539762,257381142,56490083,45400435,35804547,35804546,45400433,56490078,45640066,35971038,27657914,20598622,255772825,35971033,257338885,255765087,14637651,14637650,20395771,268559981,44966428,55921755,258562125,83162117,82902177,69381664,56803260,45640062,35971035,35971036,45640064,56803263,69381668,82902179,77680074,259037263,69632907,57020061,45806636,257366489,258597217,97089618,260451095,97089614,83162113,69632904,57020059,45806632,256776431,27454688,27454687,35518796,27360781,20403565,255765309,35518791,44988365,55949365,68396993,68760154,257955439,45344262,45344258,56196469,269678275,96233342,110384977,124439396,138008460,125246427,111397008,97421517,83518477,69984368,57334933,46057440,46057441,57334935,69984372,69984369,69984370,83518483,82603661,257958703,35826294,27564510,27564511,35826296,45433611,55854037,44913381,35464469,27323221,20377129,14624938,10061783,6610478,4140384,2476197,1431086,816901,816897,463009,260891,260886,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443260,1443257,2496112,1440847,1440842,2496136,4175686,6668345,10152217,14761844,20579538,20705235,20705237,256795647,57238884,69882077,83423570,259232245,257980709,36210988,27819769,268192291,10208401,14844018 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14885195, s2 = 14056311, dlinesl.size( ) = 2 s1 = 14885195, s2 = 14056311, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14885195, Dl.E( ) = 26, 1.88e-05 seconds used appending s1 = 7827374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10183962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9743535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8253426, s2 = 14134420, int(edited[s2]) = 0 s1 = 8253426, s2 = 14134420, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8253426, s2 = 14134420, dlinesl.size( ) = 2 s1 = 8253426, s2 = 14134420, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8253426, Dl.E( ) = 2, 1.19e-05 seconds used appending s1 = 14109469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 578189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 578189, s2 = 11345410, int(edited[s2]) = 0 s1 = 578189, s2 = 11345410, d1 = 45, d2 = 28 Dl.O(d1) = 15029401,267751128,11771131,11771132,10266352,6746062,6746063,10266356,14929602,11126303,7379917,7379916,7379921,11126307,16012774,16012775,16013321,11117771,11117769,16013320,22128107,22128323,16013848,11118212,7374281,4658740,2806757,1628301,925919,925920,1628304,2806409,2806408,4658093,2806286,1628014,925772,925771,1628011,2806284,2806639,4658577,4658705,4658704,7374243,254498360,254730022,22128278,16013482,11117908,7374015,7374014,11117569,7374107,4658597,2806656,1628239,925885,521905,521904,925883,1628236,1628286,925910,925911,1628292,2806663,1628243,1628242,2806660,4658604,4658733,4658734,4658334,2806634,1628224,1628226,2806637,3012828,3012827,4658657,2806694,2806692,4658272,4658273,2806586,1628195,925861,521892,521891,925856,1628189,1628148,925838,521879,292531,161806,161805,292526,521872,521884,521883,925847,1628029,925782,925783,1628033,2806318,4658125,4658591,4658592,2806688,1628255,254127792,521906,925888,1628247,2806275,1628268,1628269,2806717,2806403,1628072,925798,925799,521902,521901,925878,1628222,2806628,4658565,7374078,7373991,4658483,2806567,1628182,1628181,2806562,4658403,2806495,1628135,925832,925833,1628136,1628114,1628116,1628122,1628123,1628156,1628162,2806531,2806542,4658073,4658075,4658552,2806618,2806617,4658499,4658501,7374003,7374260,11117754,11117753,7374143,4658617,4658615,2806712,2806711,4658675,4658277,2806401,1628069,1628066,2806298,2806297,2806428,2806429,4658318,4658466,2806557,2806558 Dl.O(d2) = 120925161,120925162,134723314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 578189, s2 = 11345410, dlinesl.size( ) = 2 s1 = 578189, s2 = 11345410, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 578189, Dl.E( ) = 52, 2.5e-05 seconds used appending s1 = 6634182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6634182, s2 = 3463742, int(edited[s2]) = 0 s1 = 6634182, s2 = 3463742, d1 = 41, d2 = 83 Dl.O(d1) = 256767774 Dl.O(d2) = 18900931,25511157,31145636,23658860,23658862,31145639,39827779,49851230,61334199,74116463,87721955,101695459,115740497,129637116,142964683,155514243,154332122,141679545,141679546,128329732,114452634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6634182, s2 = 3463742, dlinesl.size( ) = 2 s1 = 6634182, s2 = 3463742, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6634182, Dl.E( ) = 84, 3.1e-05 seconds used appending s1 = 14109331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109331, s2 = 9194101, int(edited[s2]) = 0 s1 = 14109331, s2 = 9194101, d1 = 4, d2 = 11 Dl.O(d1) = 133960038 Dl.O(d2) = 105906398,91699134,77771657,64588809,269085447,33320882,25559005,25559004,32117272,30164981,22775493,16560183,11542980,11542978,16560216,15799165,15799164,21873865,15799174,15799173,21873877,28402223,28402222,36899480,37744658,37744657,34244762,26368236,20898419,14994163,10325015,10325014,14934901,10271256,254643481,5947252,9090908,10394378,254488389,2570594,2570593,4299576,6851428,10394372,268199767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109331, s2 = 9194101, dlinesl.size( ) = 2 s1 = 14109331, s2 = 9194101, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14109331, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 1410980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10211890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9816801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2643265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2643265, s2 = 14060648, int(edited[s2]) = 0 s1 = 2643265, s2 = 14060648, d1 = 9, d2 = 15 Dl.O(d1) = 74548289,72685063,59946234,268955089,22686650,16487035,11487258,11487257,16487034,15107124,10419749,6868983,4311170,4311169,6868982,10419743,15107107,16486593,16486595,14614872,10056006,10056003,14614946,20361314,27300233,27300145,20361259,14614910,10055982,6607292,6254563,6254562,9534398,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,27299827,24561168,18122137,16707918,11667341,11667339,16487814,22687835,26113886,31986485,31986484,30066478,22687934,22687933,27964338,22679450,16485895,16485899,21033028,21033042,21033061,16708399,16708398,22944452,27300061,27300062,27300205,30583237,35432637,35432638,44871112,35432500,27300101,20361228,14614895,13894648,13894647,19420884,22944623,27300051,27300052,27299796,20361027,20361025,20361045,20361047,20361032,20361034,27299811,23165431,23165430,24842430,32484360,32143654,24561147,19420897,16489288,16489287,18122126,23092865,30507781,27299946,27299945,20361128,14614847,14614848,20361135,22944491,16708413,11667711,11667710,16708407,22944469,22943991,16707972,16707975,16707995,22944043,22944060,22944059,30345451,27299921,27299920,27300026,35432418,30346034,30346035,27299931,27299932,35432296,29349707,24147232,17780622,17780623,23551392,17243284,17243285,23551399,23092846,23092845,21033033,21033036,23092874,30507797,35432513,27300115,20361235,20361236,27289959,35414454,44839531,35432368,27299989,27299991,35432372,38931785,30345872,22944497,22944499,23165416,30345895,30345894,38931806,38928673,30342480,30342479,30345366,30345364,38931349,48851159,55800601,47410615,37503117,28960085,21678316,21678315,28960078,37503099,40351734,40352101,31657428,31657429,31657441,39709523,31657202,31657200,30507761,30507760,36723931,30345789,30345792,38931722,48851410,50386683,50386684,48851291,48848856,48848855,38928823,30342824,30342823,38929036,255951579,16708435,11667721,11667720,16708431,22944524,19326451,19326450,25998266,33815185,42856581,48851167,48851168,50386981,61876517,61876523,61876397,60513392,50386843,40352013,40352012,50386841,61876451,61876479,74668337,61876483,59761914,48379136,48379135,50386735,61876387,60242471,48848840,38928800,30342646,22941417,22941418,256995511,38929213,40351795,40351796,50386631,61876350,60242482,48848852,38928817,30342654,30342653,38928814,48848849,60242479,59761908,48379124,48379125,59761910,72495960,60242491,48848867,48848866,60242488,53319472,53319471,65319025,72495972,72495973,73189000,73188999,86093191,88293433,100055486,86093189,72495961,257538857,22559581,16380911,11400513,11400512,16380909,22559578,258147911,61876336,61876337,60127390,60127388,60437818,49033966,49033967,60437823,60442150,59762102,48379375,38477248,29918175,22559663,16380954,11400537,7575274,4791166,4791164,7575268,11400525,16380931,22559619,29918091,38477105,48379202,48379082,38476992,29918008,29918009,38476998,42515076,38476665,38476666,48378688,59761479,48379310,38477204,29918144,29918145,38477208,48379318,49038079,48379341,38477226,38477225,48379338,59761819,53319190,42856277,33814955,33814954,42856270,53319186,59761823,48379032,38476937,29917975,22559544,16380883,11400500,7575258,7575257,11400496,16380878,16380905,11400510,11400509,16380902,22559571,29918022,38476881,48378958,59761736,72495861,72495711,59761498,48378699,42515507,41413689,32554796,32554795,41413684,51655306,60441969,59762033,59762034,72496037,61246901,49768048,39749426,31071581,31071583,39749375,49767976,42856300,33814973,25998111,19326350,19326351,25998116,33814980,42856315,53319227,59761695,48378908,38476832,29917907,22559507,22559508,29917912,38476840,38477031,29918033,29918032,38477026,48379047,48379048,48378964,48378963,59761741,59964011,48571925,38656031,30079048,30079049,25020524,18490342,18490341,25020518,32704412,39108176,39108177,49038004,53319312,42856404,33815037,31071572,23588001,17276184,12155768,12155767,17276182,23587993,31071561,39749402,42066593,42066591,42066673,52410533,61246797,49767922,39749338,256416106,61246789,71881761,59143564,59143496,47744788,47744790,53319286,53319285,48851028,48851027,60244353,72495745,85466429,71881688,65318821,60244318,48850998,48850997,60244314,60441956,73188871,73188900,60441997,49038013,39108182,39108181,49038009,60441990,63714816,61246922,49768074,39749464,39749365,31071537,31071535,39749358,33117638,25382193,18797257,13390283,13390284,18797262,13796602,13796601,19297017,25962779,33772320,42804510,42856346,37822919,37822920,47744930,52410333,44870943,44870926,44870925,48851031,47744794,38476769,38476770,47744821,37822834,29257889,29257888,30345235,30345234,38931204,48851017,51908016,53319117,59761591,48378796,48378781,48378780,59761573,65318864,63714826,52410256,42066432,42066434,49767947,39749349,39749350,42066530,33117564,25382149,18797238,13390279,13390281,18797248,19297006,19297005,25962754,33772282,42804444,53257406,65246939,65246958,77415682,64265691,64265693,77415686,68228081,68228080,68228093,65246978,65246979,72495780,73188980,60442140,60442142,71881731,85466445,86577379,78537088,78537087,92584753,86093128,72495818,59761642,48378831,48378830,59761635,72495808,86093114,77415470,64265563,64265564,77415473,74026948,74026949,64265759,52410362,42066508,33117550,25382141,25382140,33117543,33772269,33772266,42804426,53257384,65246921,78537021,65246960,64851062,52925512,42515034,42515037,52925521,64851082,78048214,73592224,73592225,87214281,78537049,78537051,85466453,71881737,71881738,85466461,84067674,84067673,97940606,86072664,86072662,78537035,72474471,59739279,59739273,59739272,72474456,72474493,86072650,100035916,101042315,101914480,99490922,86072523,72474360,59739194,48355632,48355631,59739191,64265729,77415718,86294087,78536995,78536996,87941685,74338680,61561077,61561079,72972083,60235053,60235055,72972087,86570214,100531356,106776479,114369382,100344877,91974929,78434508,78434507,92470696,99490846,85544056,85544053,71956194,71956195,85544055,99490844,113501863,272203375,153409615,141302344,260850624,100035818,259010790,59739174,48355608,38453699,38453700,256625628,72474330,72696394,78048632,64851536,52925902,42515358,33515387,33515389,42515363,52925910,50080744,42856186,42856184,53319088,47819554,37897587,29329024,21998643,21998644,29329032,37897610,47819589,59217866,64089338,59384850,52925536,52925537,64850626,64850628,61561102,50080724,50080725,49281059,49281060,49281042,39354189,39354183,39354184,41916407,38736005,38736006,48657044,55284517,44440397,44440398,50050415,40030262,40030263,50050394,61529793,61529797,74307411,61561009,50080638,50080637,61561007,74338611,87941618,101914463,115958691,115958800,101914625,101914626,87941870,74338879,61561242,61561241,64850690,64850693,52925243,52925244,64850768,64850716,64850717,74307446,61529820,61529819,74307438,87911373,91974663,87046858,73429580,60681943,60681942,73429574,77233807,64089323,52241822,52241823,64089329,61561633,61561634,74338987,61561347,50080918,40059500,31377092,31377090,40059494,50080902,50081020,40059555,31377123,23880650,17534951,12367551,12367552,17534957,23880667,23880682,19103005,13639077,9339733,9339734,13639083,19102960 Dl.O(d2) = 39911595,31236050,23752962,23752961,29080050,35010008,267968246,14357799,20042731,26928316,24712187,18240182,12938431,8802250,5733706,5733704,5733711,3570132,3570133,5733712,8802262,12938459,18240223,268399508,22090467,15983645,15983644,18239714,12938145,12938144,18239712,24711619,30706148,23289934,23289935,30706150,37984206,44413143,44385746,35008250,27006070,23479333,23479334,23859108,30439621,23032797,16789625,11739559,11739558,15756375,21823319,22681496,16483403,11484903,7638928,4832938,4832937,7638925,11484888,14382216,20066289,21167545,267886046,26950805,21782336,21782335,20064708,14380659,14380658,20064703,26949558,35030200,37375429,37891486,47813296,55207180,44356663,34979031,26899588,26899586,20056983,14371975,14371978,20047203,18955315,13518793,9872930,6485833,4064123,4064126,6485847,7627143,7627140,8356462,8356465,11133578,11133582,10884306,10884305,15720912,11133784,7385032,7385034,11133792,16035047,22155754,22680665,16482780,16482777,22680655,30057319,35013767,29080326,29080329,37630648,30834593,30834594,38463679,35025643,254470760,30724977,39197953,39197952,44409205,39322791,30724969,26937497,20051610,14366145,14366143,18589453,18589454,20047528,21822919,29129889,26926645,26926643,29081719,29081720,37632049,44394788,35019091,26938048,26938049,35019096,37692887,36882048,28385475,23932436,17590028,12416082,12416083,17590034,21824211,20045297,20045295,26931106,20045384,14360030,9867314,9867315,14360037,20045398,20068033,20068034,254468838,14378809,14378808,20062977,26947910,26959179,25475907,18874427,14365739,14365740,9890922,6499363,4072565,2436912,1409145,1409148,2436921,4072583,6499395,9890974,14385426,16034372,267871074,9867183,6481836,6481837,9867186,14359821,20045027,18725165,18725163,25299777,28421622,28421623,29769641,22406333,16243524,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23307452,23307454,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008,21492518,21492520,28752236,35012147,26930519,26930520,23418233,23418228,25144602,21589052,15563254,15563256,21589035,28863278,37404632,32851879,32851878,30425210,23020381,16780027,16780026,23020375,30425199,39013997,33025912,25299783,18725168,13329968,9107983,9107984,13329969,18725169,25299787,21697143,15657110,15657108,21697137,22680632,22680634,16790215,16790216,23033697,29493582,37008640,33755746,25948030,19284108,13785649,13785650,12335033,8332970,8332972,12335016,17494355,23833186,31323749,32744607,33025868,25299742,18725135,13329952,9107973,5959609,3726980,2231437,2231434,3726970,5959593,9107944,13329897,18725049,25299633,25299671,25299670,28863113,21588884,21588883,28863108,37404499,43066976,34009298,34009295,34009294,268406854,48309877,48309878,48705712,256982742,72837776,72093414,59359821,59045243,47643546,37721476,29161712,29161714,37721480,39981911,39981910,42396403,33407213,33407214,40099813,37434492,28893133,21617021,15587057,15587056,20345234,19465148,16963973,11875920,11875919,16963971,16521484,16521483,16524505,11516498,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384546,10304593,10304591,10392413,10392415,15069081,20981181,18736818,13338555,13338553,18736812,22729327,17980042,17980045,20810924,20877735,18891129,18677103,13284243,10051088,10051089,14607025,16298133,14929948,14929949,13318692,9099020,5953271,5953273,9099028,13318711,14596480,13307779,13307776,16024587,14564161,10021776,10021777,14564167,19319718,13814716,13814715,15809095,16517694,16517697,21622133,15591696,10786033,7126553,7126555,10786036,10049934,7127419,7127420,10787507,15591420,10785828,10785831,7575334,4791196,4791195,7575328,11400622,255001026,29918417,38055588,38055587,47968783,48497885,38582977,38582976,48497884,48756771,60150981,59141950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2643265, s2 = 14060648, dlinesl.size( ) = 2 s1 = 2643265, s2 = 14060648, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2643265, Dl.E( ) = 16, 3e-05 seconds used appending s1 = 11082372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082372, s2 = 14162589, int(edited[s2]) = 0 s1 = 11082372, s2 = 14162589, d1 = 15, d2 = 8 Dl.O(d1) = 137312603,123581188,268998092,67607511,55265745,255571164,30041927,22666572,16471326,11476349,7633154,4829153,4829154,7633157,11476362,16471347,22665797,20054849,20054846,26940909,23733481,17408851,12268607,12268609,17408858,17849971,22878939,30276205,28619647,21382928,15400134,15400133,20312573,20312576,23565464,17254122,17254123,23565459,31049850,30031079,22656760,16463663,16463661,18738546,13339738,9114189,5963250,3728974,2232560,1294705,738970,420062,420060,738968,738976,738975,1294716,2232589,3729065,5963423,6311915,9609746,13988732,19536522,254313960,18127495,12853967,12853966,12622780,11952415,8001101,8001103,10439111,6881749,4319774,4319773,6881742,10439102,15135711,21071222,26654224,26654225,26654587,28106259,28106260,24089256,17731746,12545058,12545057,17731738,12545064,12545062,14394837,14394836,15014933,15014932,20922052,28097199,36568105,35040969,26961001,26961000,27229838,28045558,28045559,26657246,19843235,19843236,17731726,12545050,12545048,17731719,20077309,20077308,23298691,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394562,20076972,15136018,15136019,21071682,25291918,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,12872810,12872787,12872784,18153308,24600878,32188385,39842233,39842232,33494063,33494064,33494050,25718069,25718068,21058350,15126336,10433141,10433139,12818051,18079834,21043657,21043659,28242625,36737668,28260616,21059109,15126830,10433419,6878321,4317633,2582258,2582257,4317628,6878313,10433403,13991442,19540089,21059276,28260631,36755722,36752348,28257403,28242223,21188831,15226145,10502800,6925432,6925431,10502794,15226127,12796614,8700143,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059434,28261115,31698254,36737618,28242567,21043619,15115474,10426145,10426141,15115459,11724862,7827510,7827509,10426043,15115301,21043263,21043261,28242113,21056541,21056540,23009781,16770522,11724845,7827498,4968510,3000921,3000920,4968506,7827490,11724831,16770504,23009744,30414577,36566552,28095969,20921166,15014343,15014342,20921161,28095953,28260327,21058895,15126683,15126682,21058844,28260268,36755345,39004507,39004506,47088720,37192837,28670870,21423805,15432202,15432203,255834263,29310250,21982419,15886734,15886735,16770424,23009597,24514190,25368393,18784580,18784581,25368398,25673374,25673375,21470765,15468609,15468610,21470769,22009791,22009788,23009704,23010340,30414542,25673471,19052162,19052166,25673488,29310201,28261059,21059394,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,21948391,15858682,15852124,10986480,10986477,15852105,21940383,29261740,27055716,27055718,35141261,44517765,37734310,29173596,21863508,15790616,10940081,7238976,7238975,10940074,15790603,15907142,22008310,29173528,37734173,29173487,21863449,21863448,29173480,36751427,46637909,58012297,58008307,46633635,36746459,28250939,28250940,36746463,46633642,46633663,39004357,39004358,254718376,30415212,30415213,39004524,36450074,27991531,27991532,36450068,46303025,57647838,46638417,42183386,37538867,37538864,47446936,42437331,42437330,48238494,38328437,29758517,29758516,30414716,37734184,35149407,35149406,29759675,29759677,29680963,29680966,29759638,22398202,16237399,15865854,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,19836595,19836592,22556570,26650224,22396159,22396158,29756625,29756806,38326263,36754610,28259546,28259545,36754606,36450086,27991541,27991540,25475346,18873982,13449383,13449380,11288436,7494886,4737804,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,3770939,3770938,6027634,9206975,13463483,18892657,22248051,29597077,31571165,30764475,30764477,38330863,29760464,29760461,36831736,28335209,21123225,21123227,22400864,23341292,23341293,29756781,27999426,20835039,14936314,10272397,6750698,6750699,10272401,14936274,10272383,10272386,254683116,27999351,36457844,46310631 Dl.O(d2) = 97729942,106594285,92296073,78268856,64995294,257818009,42579848,33563144,25773837,19133713,255685779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082372, s2 = 14162589, dlinesl.size( ) = 2 s1 = 11082372, s2 = 14162589, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11082372, Dl.E( ) = 16, 1.69e-05 seconds used appending s1 = 9484252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 813944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13297369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8090620, s2 = 1541104, int(edited[s2]) = 0 s1 = 8090620, s2 = 1541104, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8090620, s2 = 1541104, dlinesl.size( ) = 2 s1 = 8090620, s2 = 1541104, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8090620, Dl.E( ) = 2, 1.22e-05 seconds used appending s1 = 8003976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8003976, s2 = 14278775, int(edited[s2]) = 0 s1 = 8003976, s2 = 14278775, d1 = 42, d2 = 22 Dl.O(d1) = 53837154,47209314,37302505,37302504,47209310,58599367,71331723,72550544,65773253,58313791,46947040,37302294,28768970,21508288,21508287,28768968,26340228,26340229,25560143,25560142,29956926,29956925,38521963,34211178,26337512,19609128,14051122,14051121,19609125,26337507,26338186,26338185,34212013,37302453,28769092,24884587,24884588,32528518,41378103,34214843,26341231,26341230,34214838,34214859,28770441,28770440,37303646,254574704,16711079,16711078,22947584,26339559,26339558,22453553,22453552,26339555,34213164,29956763,29956762,34211348,43309623,39336953,30738239,30738240,26337700,19609299,14051248,14051249,19609300,26337703,34211367,26341033,26341032,34214613,256185620,50258757,61737074,71331910,58599608,58599609,58646427,65773255,53715870,43203530,34116422,26251865,26251866,34116425,43203535,37308060,28774311,24049624,22765154,22765155,30153005,24049382,24049383,31553287,30738379,23318295,17053876,11963482,8008419,5098161,3094413,3094412,5098156,8008407,11963468,17053847,23318248,30738312,39337014,43312690,34214656,34214654,43312687,37302354,28769018,28769017,37302348,47209198,39337163,39337164,49263578,43309589,43309588,34215753,34215754,43313637,49083507,49083508,53836229,256185532,26340108,19611583,14053131,14053130,19611581,26340104,34213690,37302676,31668750,31668751,40363252,43312539,50233989,40363247,33649285,25845293,19190837,13706050,9387670,6150304,3848510,3848509,6150298,9387656,13706022,19190883,22947522,30348977,30555783,23138365,23138366,19612479,14053949,9663821,9663820,7887145,5009135,3028793,1762348,1762347,3028791,5009124,7887123,11808092,16878104,23138349,23650312,17333263,12208040,8239557,8239556,12208035,16048581,16048582,22172832,16321377,11355029,11355028,16321376,22495143,16337980,16337978,16316654,11352033,11352032,16316653,17513027,17513026,16310085,11347940,11347941,16310086,17255214,12135338,8165293,8165298,12135353,17255234,16351416,16351415,12132829,12132828,10846450,10846453,15667947,21710138,22494199,22487515,16314850,16314847,17284226,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770181,7541345,11349411,15155627,10452104,6890059,6890058,10452101,15155623,16327844,16327843,15158615,12194151,8224491,5294887,5294884,254578966,17318879,23634746,30166162,38749460,48444649,38536154,29970175,29970174,28304937,21095770,15153011,15153010,21095769,21092340,21092341,15151405,15151404,21093389,21093387,25088986,22567833,22567832,28303917,25403962,25403963,28300071,21091748,15152091,15152090,21091930,15150433,15150307,15150308,10449791,10449790,15152126,21094459,23079444,23079445,22473648,22473649,24041241,21093329,21092478,21092479,16260108,16260109,22426736,29792635,35356124,35356122,35356533,44780695,255995108,25087269,25087270,18543839,13176142,13176141,18543833,13176500,13176502,18544451,19365939,17299136,17299139,23612068,31095864,36601928,36601929,30778412,30778413,37389858,28849944,28849943,24149369,24149368,22793690,22793689,28310797,21100690,15156828,10452881,6890503,4325677,4325678,255380179,28310800,34697725,26703197,25360819,25360820,26703241,23450617,20894740,14990854,14990853,20894736,16306551,11345652,7539378,6776984,4247934,4247932,6776979,10305152,14972867,18820610,18820609,25412219,21719458,15675456,15158731,15158732,15702713,15702712,11797785,7878990,7878993,5999888,5999890,9167010,9167008,13408212,18820794,25412436,33153546,42107979,47478725,47478726,58861299,47482055,255051414,29028934,37576148,37588247,29040678,29040676,37588238,40446069,50482447,42108398,42108397,47499001,37594872,37594875,37589359,29041772,21749152,15696621,10866081,10866082,15696631,21749181,29023969,29024055,37570897,37570974,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697439,21750427,29043217,31738008,24229115,24229117,31738015,40432179,50469870,52460855,58189601,48093337,48093336,59482847,58873399,58873400,61971180,58850401,49804746,49804748,47492584,47492582,58873199,58872157,58866969,47485196,47475225,37569424,37569425,37561983,37561982,40440893,40437164,31746173,31746171,40440698,47482916,47482914,58864935,58874894,47494638,37590321,29042917,29042919,22335604,16188039,11252415,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561387,46823442,46823445,47465194,47465195,58849876,58869071,47487473,37582281,37582282,38181436,47474358,47474359,58857533,50472366,50472367,47492486,37588072,29040568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Dl.O(d2) = 167703527,178160673,181865225,173251685,259535694,149940965,258910928,172624420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8003976, s2 = 14278775, dlinesl.size( ) = 8 s1 = 8143914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13217993, s2 = 15209079, int(edited[s2]) = 0 s1 = 13217993, s2 = 15209079, d1 = 72, d2 = 125 Dl.O(d1) = 4470916,2686194,1556051,884701,499201,499205,884678,1555984,2686056,4470690,7100660,7555575,4777793,4777794,2881151,2881152,4781135,7561220 Dl.O(d2) = 185945649,194166979,201208665,207136878,212026089,216020961,216020952,216020951,219330454,219330453,265263206,264836010,207136873,201208663,201208662,207136872,212026082,216020949,219330458,274297408,219330452,222126393,224527110,222126414,219330469,219330455,219330456,222126393,224527110,224527118,224527113,222126395,222126396,222126403,222126402,224527113,222126397,222126398,224527115,222621978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13217993, s2 = 15209079, dlinesl.size( ) = 2 s1 = 13217993, s2 = 15209079, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13217993, Dl.E( ) = 128, 4.79e-05 seconds used appending s1 = 201092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6510500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 709727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14026664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14026664, s2 = 10579489, int(edited[s2]) = 0 s1 = 14026664, s2 = 10579489, d1 = 25, d2 = 21 Dl.O(d1) = 5687114,3537856 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9789269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10153483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10153483, s2 = 14325429, int(edited[s2]) = 0 s1 = 10153483, s2 = 14325429, d1 = 10, d2 = 19 Dl.O(d1) = 31709724,24201993,267996870,12627084,17832490,254269740,12252181,16458028,16458026,19228396,13736273,9410448 Dl.O(d2) = 143697637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10153483, s2 = 14325429, dlinesl.size( ) = 56 s1 = 6486414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9825279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6685600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6685600, s2 = 7567143, int(edited[s2]) = 0 s1 = 6685600, s2 = 7567143, d1 = 28, d2 = 60 Dl.O(d1) = 257321972,255754270 Dl.O(d2) = 162556296,150427271,137387324,123656162,109463682,95209130,81152033,67686323,256526506,35122570,27035415,20142495,268112922,256021108,55346686,67686322,81152032,95209128,259266888,258015674,48577324,38661403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6685600, s2 = 7567143, dlinesl.size( ) = 2 s1 = 6685600, s2 = 7567143, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6685600, Dl.E( ) = 62, 3.19e-05 seconds used appending s1 = 11007476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007476, s2 = 12248698, int(edited[s2]) = 0 s1 = 11007476, s2 = 12248698, d1 = 13, d2 = 3 Dl.O(d1) = 254339247,1570007,892670,503694,282490,282489,503693,892667,927741,927742,1631517,2812448,4127948,2469496,2469498,4128272,4483508,4127969,2469325,2469323,4127964,6588838,10025068,14568719,17658351,12487125,255577379,10025800,10025799,14569632,14569631,15579756,15579755,21608429,27231892,255342002,10026057,6589421,6589420,10026055,8457680,8457679,7120295,4483086,2693574,1560466,887182,887180,1560459,2693457,4482872,7119974,7874589,4999371,4999372,7874592,10832590,10832591,14567746,14567745,14567737,10024238,6588267,4127595,2469075,2469076,4127600,2694424,2694425,4484473,7122422,10779366,14569823,14569822,20302393,14569767,10776145,10776146,15578159,14568159,10024631,7122589,7122587,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,7120211,7121068,7121067,10777452,15579953,15579982,15578581,10776455,10776454,15578576,15582827,10779655,10779656,14569283,15578475,15583700,15579782,10777336,7122716,7122717,7879210,7879211,7122574,7122573,7092185,7092184,10734132,15520629,256335081,22550676,16374251,16374252,255518150,28888026,28801867,21609357,21609358,21609047,21609046,27231251,20301983,20301982,15583013,15583014,21612248,21606418,15577946,15577945,21535702,15520766,15520765,15520807,20300434,20300433,15580329,15580328,21609072,21535536,15520672,15520671,21535531,23135680,16875262,15579916,15579918,21607024,15578519,15578517,21607017,21612295,28882935,23135381,23135375,21606987,21606988,28882922,37277863,28745295,21487116,15482658,15482657,21487112,28745289,28888174,22270514,22270513,22178684,16052866,11146268,11146267,16052810,16129010,21611886,21611887,21535690,15520760,10734198,7092218,4465459,4465458,7092215,10734190,15520740,21535655,28745350,28745349,35387844,40594638,31886786,31886787,29521070,22178585,16052785,11146218,7393013,4670648,4670647,7393009,11146206,16052768,21535515,15520662,15520663,21535521,21608700,28882943,28882942,37277868,37277870,28888208,21612072,15582862,15582865,21612078,16052712,11146175,7392989,4670641,4670643,7392998,11146190,16052739,22178523,28801818,21535387,21535388,28801823,28802178,37340136,37426704,37430153,28888365,22178478,21966383,21966384,16875255,16875256,23135665,29521137,30553677,30553678,24359601,17964864,12730756,12730755,17964860,24359594,23123042,23123041,28884742,28801991,22269269,22269268,29620241,37425221,28883000,28882999,30542174,23123730,23123731,24009997,28884745,21608814,21608816,28884755,22269397,16128209,16128210,17663454,12490580,8459913,8459915,12490586,17663465,14588866,14588865,20328171,21535400,22112550,22111053,15999105,15999106,22111059,16000400,11108035,11107315,11107316,15999299,22111293,29445003,37340069,29620210,24010141,24010140,22112091,15999903,15999904,22112097,29445063,22111361,15999350,11107343,11107342,15999345,15213228,10494058,10494059,15213232,21171978,22110922,22110919,22111394,22270302,22111706,22111707,29445366,23118898,16859293,11791736,7874069,7874068,11791728,16026088,22111078,22111898,15999740,15999742,22111907,15999779,15999764,15999766,15999221,15999220,11107577,11107578,15999715,16987834,254373126,22112523,16000379 Dl.O(d2) = 1976307,3360735,5465294,8458450,12488311,17660080,24005401,31503917,31405288,23913950,17571190,12399265,8379547,5407749,3324488,1955319,1116980,626784,348251,348249,626777,1116967,1955296,3324465,5395694,5344988,5344984,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366239,12380962,17551357,15489293,15489294,21495633,23433947,23906105,17562297,12391333,254828328,23906109,31398811,28753894,21494568,15488399,10710471,10710470,15488394,21494567,21935267,17581681,12409555,12409556,17540101,17617785,12435815,8404789,8404790,6063961,6063959,9258615,13527837,18825369,18825370,25416733,27216584,20288307,20288306,27216583,23046121,22877953,22877952,23738053,23738055,23436619,17161705,12065330,8112943,8112942,12065328,17161701,23436613,23897958,30576306,23738144,17413330,12671202,8605077,254876447,17888968,23436612,30865612,39469399,49397899,60798601,73545705,259468813,115239794,129170981,142547726,146868714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007476, s2 = 12248698, dlinesl.size( ) = 2 s1 = 11007476, s2 = 12248698, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11007476, Dl.E( ) = 14, 1.38e-05 seconds used appending s1 = 16387483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16387483, s2 = 15180954, int(edited[s2]) = 0 s1 = 16387483, s2 = 15180954, d1 = 61, d2 = 30 Dl.O(d1) = 39489717,37702196,256443926,36561337,46425534,36561338,36561339,39938993,269396231,270341982,61433582,57780529,57780528,61433586,61433585,70480797,84014777,71043126,58327624,58327621,258046651,71043125,71043123,60147001,48752709,38832619,30249051,30249050,37079682,28575711,28575710,256857711,37079662,37079661,46960324,48752703,257568367,258800257,84607016,71043120,71043122,58327641,46960339,37079672,37079671,46960338,58327639,71043136,270288926,46960319,37079656,28575693,28575692,268917321,58327613,46960333,37079669,37079670,46960336,58327611,58327610,71043115,71043132,258670949,71043133,71043134,258046649,46960323,37079658,28575695,255398415,15371515,17019592,17019591,255973919,39290004 Dl.O(d2) = 127498259,134773161,120976570,106724383,92418816,78381556,78381557,92418807,92418806,99611096,106724385,92418811,92418812,106724387,106724395,259285320,78381559,91122670,91122669,78381541,65097817,53111040,53111041,65097819,58834325,255647118,37444868,268021240,58739105,62210773,75033606,257178198,51932756,41629795,32723518,32723517,256890521,51932765,41629799,41629798,44352928,269410905,62210765,50691079,40632108,256056059,17984701,17984702,24384232,17984704,17984703,24384234,31916665,32723521,25036613,18503042,18503043,20014273,14334053,14334054,268210804,26895949,26895948,29472420,268074134,16019941,22136235,16019946,16019947,22136244,29472430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16387483, s2 = 15180954, dlinesl.size( ) = 2 s1 = 16387483, s2 = 15180954, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16387483, Dl.E( ) = 62, 3e-05 seconds used appending s1 = 7983368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8070698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8070698, s2 = 8040246, int(edited[s2]) = 0 s1 = 8070698, s2 = 8040246, d1 = 12, d2 = 14 Dl.O(d1) = 260635696,74822088,258794670,24995476,18471262,18471261,24995473,32671822,30457697,30457698,268449717,17858183,12646625,8586729,5579640,5579641,7500868,4741381,2857430,1658332,1658328,2857436,4741394 Dl.O(d2) = 57870365,48968371,256742433,26967818,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,268673577,17285661,268250567,31081270,39758971,31745101,256551253,23597841,23597842,23597847,31081250,31740735,24231145,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,11163092,11163064,11163065,16075724,18160458,24609191,32197713,40977846,33506618,33506619,37565768,29019194,21730539,21730540,29019198,37565778,40441548,31747031,24236128,24236126,31747029,40441540,50473249,40436019,40436018,32403644,24779719,24779718,31742003,24232270,17858741,17858742,24232273,31742014,40436183,50467745,40429856,38112396,29549549,29549548,29024371,21734612,21734611,22205775,22205774,29549400,22205881,22205880,29549579,255788028,32197705,32197706,40977842,40441493,31746978,31746979,37268403,37268404,47174341,47472315,256892985,37565763,256894383,37587008,47491587,58872419,50467750,40429858,40429860,41227808,257099615,31746988,24236107,24236105,31742005,31742006,40430035,40441389,31746866,31746865,40441385,257473245,256351457,21734608,29024365,37571228,31747012,31747013,32403639,32403637,268599568,40977839,40441513,40441512,48021744,38112198,31747047,24236143,24236142,256551357,50467839,58856154,61963577,270319105,59651488,48264506,48264504,40441509,31747001,24236112,17861426,12648532,12648531,17861425,24236110,31746996,40441503,37571226,31746868,31746867,40441391,257682529,40441529,31747023,24236124,17861441,12648542,8587803,8587804,12648544,17861445,17861366,12648496,8587784,5580199,5580198,3462226,2053144,2053146,3462228,5580215,5580220,8587809,12644980,12644979,17855463,24227410,31735969,31735766,24227234,17855341,12644906,12644904,255590891,29040396,29040397,256044168,257099111,256550715,17855466,255590899,31735975,256893145,37567912,47473972,58857295,58857296,71581806,61971372,58563254,47174357,257099627,31747085,24236167,17861466,12648560,255201215,24227872,17855767,17855766,21740823,21740822,256505532,10865282,10865283,10856799,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861491,7636382,4831048,4831044,4831051,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723862,21750769,29011581,21749330,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750002,21738837,21738840,15690852,15690853,10863720,7182704,4525001,2719975,1576057,1576055,2719965,4524972,7182661,10858402,10858404,10858067,10858071,10858325,10858322,15684999,17856521,15673418,15673414,21717195,29002950,256891489,39178813,39178812,39178808,39178807,37589890,29042447,21749781,21749780,29042445,268928435,37557076,37557075,40435934,37579794,29032569,29032570,37579798,31737553,24228756,24228758,31737556,40431700,37578317,37578318,46514218,36646671,36646670,46514214,57870374,70572023,58845129,47459847,37552364,29006785,29006789,37552370,29022083,29022084,21746563,15694816,10864979,10864980,15694819,15699133,21738571,256351825,29045466,29045467,37592024,29044400,29044399,37592020,37578886,29031645,21740401,15690184,15690182,15690180,10861822,10861821,10861749,7181262,4523924,4523922,7181256,10861742,10855547,7176978,7176979,10855551,15680399,21726361,21720810,15676470,10852733,7174877,4519539,2720981,1576718,1576719,2720982,4526480,7184940,255052565,10867065,15688861,15676689,10867047,7184927,4526467,4526466,7184925,10856214,7177461,4521394,254229045,895354,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,1573916,2716277,2715701,1573600,1573599,254228895,894790,894789,1573662,2715796,4518477,4526089,4520923,267885515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8070698, s2 = 8040246, dlinesl.size( ) = 2 s1 = 8070698, s2 = 8040246, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8070698, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 9810073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6472509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11161966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7927616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9352038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15266885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15266885, s2 = 16359658, int(edited[s2]) = 0 s1 = 15266885, s2 = 16359658, d1 = 8, d2 = 13 Dl.O(d1) = 266053122 Dl.O(d2) = 22884529,268230034,267978644,29411657,28128984,26386608,19652138,14086137,14086134,16210107,11268370,7480216,4727335,2848227,1652522,1652520,2848219,4727322,5573425,8577651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15266885, s2 = 16359658, dlinesl.size( ) = 2 s1 = 15266885, s2 = 16359658, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15266885, Dl.E( ) = 22, 1.41e-05 seconds used appending s1 = 6483141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6483141, s2 = 14065588, int(edited[s2]) = 0 s1 = 6483141, s2 = 14065588, d1 = 8, d2 = 26 Dl.O(d1) = 255053542,15984412,11133885,7385082,4665595,4665596,7385084,267885970,20047229,21826854,15759052,15759053,21826857,17142093,17142094,23032827,16789646,16789645,20058241,15984458,11096802,11096798,15718709,10881842,10881846,15718722,20066261,21167549,21167551,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,2733651,4547274,254749871 Dl.O(d2) = 42689873,53140754,65125914,59293762,47898507,37981403,29418473,22087938,22087937,267973638,15889403,15889404,21547970,15530051,15530052,21547975,22419994,28532772,21310108,21310107,28532768,30882876,30882877,24038715,24038716,31541972,39967236,39967235,47257406,37347934,37347933,38369814,29797095,29797096,31261217,23776059,23776060,30301870,22903010,16672007,11637006,7752716,7752715,11637001,16671997,22902989,30301844,38887834,38369706,38369705,38887802,38369849,29797138,28579378,21349958,15373993,15373991,21349956,28579372,36806825,28309979,21099969,15156271,10452499,10452500,15156276,21099976,28310007,36588250,36806843,36806842,37945643,37945642,38369894,38369893,46964902,37083765,28579363,28579362,37083763,29821813,22454512,16285734,11327371,11327370,16285729,11636988,11636987,16671974,16543249,11529939,7670186,4853112,4853113,7670189,11529942,15156256,254838374,255549512,38394195,48304692,59691590,58649261,58649260,49750823,40369287,268400860,255404472,10645003,10645002,15401353,21384540,256321023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6483141, s2 = 14065588, dlinesl.size( ) = 8 s1 = 9813959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9813959, s2 = 11042297, int(edited[s2]) = 0 s1 = 9813959, s2 = 11042297, d1 = 1, d2 = 1 Dl.O(d1) = 34573247,255962700,19782307,26586486,21851764,15780876,10932233,10932232,15780873,21223086,21223087,28449677,36949942,29160226,21851788,21851789,29160229,37720093,47642132,40076981,31395621,29160340,21851895,15780983,10932305,7233215,4559660,2741867,2741866,4559657,7233210,10932294,15780968,21851873,21851835,15780947,10932281,10932280,15780942,21851830,29160255,29160191,29160190,29160211,21851773,15780881,10932236,10932238,15780888,21851781,17557854,12387254,12387255,15253483,15253484,17557882,17557883,23902177,31395439,40076760,40076749,40076747,40076769,46828096,36950013,28449740,21851820,17557960,17557957,23902326,31395626,31395636,29160318,21851885,15780978,10932301,10932299,15780976,21851865,29160297,29160282,21851848,15780955,15780956,17557924,23902260,29160252,33780954,25970647,19303885,13802333,9465023,9465021,13802330,12387246,8370757,5402372,3321542,3321543,5402376,8370763,12387263,17557897,23902160,17557872,17557858,17557859,23902165,23902207,23902208,31395469,31395642,23902343,17557969,12387304,8370787,5402388,5402384,8370781,12387293,255568541,21851877,15780972,15780971,268393791,37720182,31395575,31395576,40076919,42813495,269103097,257072969,31395481,23902215,23902170,23902169,31395430,40076753,40076926,50097749,50097826,40076991,31395635,23902335,17557964,17557963,23902332,23902298,17557944,17557943,23902296,31395581,23902317,23902316,31395579,23902292,23902293,256525991,50097742,46646614,36760760,28264906,21062247,15128970,15128971,21062249,28264909,26193868 Dl.O(d2) = 34573247,255962700,19782307,26586486,21851764,15780876,10932233,10932232,15780873,21223086,21223087,28449677,36949942,29160226,21851788,21851789,29160229,37720093,47642132,40076981,31395621,29160340,21851895,15780983,10932305,7233215,4559660,2741867,2741866,4559657,7233210,10932294,15780968,21851873,21851835,15780947,10932281,10932280,15780942,21851830,29160255,29160191,29160190,29160211,21851773,15780881,10932236,10932238,15780888,21851781,17557854,12387254,12387255,15253483,15253484,17557882,17557883,23902177,31395439,40076760,40076749,40076747,40076769,46828096,36950013,28449740,21851820,17557960,17557957,23902326,31395626,31395636,29160318,21851885,15780978,10932301,10932299,15780976,21851865,29160297,29160282,21851848,15780955,15780956,17557924,23902260,29160252,33780954,25970647,19303885,13802333,9465023,9465021,13802330,12387246,8370757,5402372,3321542,3321543,5402376,8370763,12387263,17557897,23902160,17557872,17557858,17557859,23902165,23902207,23902208,31395469,31395642,23902343,17557969,12387304,8370787,5402388,5402384,8370781,12387293,255568541,21851877,15780972,15780971,268393791,37720182,31395575,31395576,40076919,42813495,269103097,257072969,31395481,23902215,23902170,23902169,31395430,40076753,40076926,50097749,50097826,40076991,31395635,23902335,17557964,17557963,23902332,23902298,17557944,17557943,23902296,31395581,23902317,23902316,31395579,23902292,23902293,256525991,50097742,46646614,36760760,28264906,21062247,15128970,15128971,21062249,28264909,26193868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9813959, s2 = 11042297, dlinesl.size( ) = 2 s1 = 9813959, s2 = 11042297, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9813959, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 70609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2475368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 431303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1469256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8123860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7862855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7862855, s2 = 9330720, int(edited[s2]) = 0 s1 = 7862855, s2 = 9330720, d1 = 8, d2 = 12 Dl.O(d1) = 25285670,21366512,21366515,24638591,24638589,32236299,41028761,49328751,42302259,33321521,33321522,42302263,37545217,37545218,47453210,58839157,57750623,50504352,50504351,49430199,40003334,40003335,49430262,39499113,39499116,36538828,28071744,20900221,14995805,14995803,20900217,24261480,24261479,31773624,40468452,50504330,61996045,61996052,61996051,70445823,57750633,53364043,42897893,42897892,37035413,28537172,21314156,21314157,28537175,31773638,24261488,24261487,31773636,40468472,50504346,48171934,38262423,38262422,43869979,34599749,34599748,43869977,40468628,40468629,50504481,61996158,61971581,50478621,40441933,39499068,30891895,23459147,23459145,23201044,23201045,24261540,28071733,24261664,24261668,31687875,31687874,40381734,46942820,37063788,37063789,39924536,42045667,42045665,48530607,38615126,30041245,30041244,24261633,17883942,12667485,8602632,5590257,5590256,8602625,12667468,17883900,24261569,31773749,39499135,42144094,50504307,40468425,31773601,24261466,24261465,21072355,21072354,28276146,36771701,31679207,31679209,30891936,23459171,17180676,12080042,8123178,8123179,12080047,17180685,23459190,30891962,33236216,32546951,24897880,18395409,254900125,5809881,3623958,2164112,254271569,1956725,3327320,5412913,8388306,12411204,14485917,20189373,27087297,268786766,34114845,26250365,26250364,269134730,29169579,21860164,15787693,267969407,4562276,2743650,2743649,4562275,7236975,10937470,13908145,19436940,26132175,22862520,16635578,16157044,16157042,22302711,258129849,256749666,12914717,8785197,5721771,3562171,2122739,2122737,3562162,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580246,7262634,7373569,4658200,2806358,1628048,1628049,2806365,4658213,7373588,11117277,11117428,7373671,4658250,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598 Dl.O(d2) = 2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307,9949827,14462132,14462576,14462572,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264665,7264616,7264615,10975601,15838539,21924410,29243989,37808257,44642690,257090084,55492803,61818978,256036112,257090086,78340191,65061461,65061462,78340072,65061463,61818963,61818964,67833872,65061256,53078895,42631469,33606501,25808613,268199594,33606548,25808654,19160949,13682378,13682377,19160948,25808652,33606545,42631515,33630509,25828383,25828382,255372100,18707755,254913245,5950433,5950434,4258065,2545613,2545612,4258061,5950256,3721062,2228087,1458989,1458991,2531828,4234603,6757619,9074591,5934428,3710644,2222093,2222092,3710643,5934426,4283093,4283094,3708934,3708935,3713320,2566627,2566628,4292928,6841715,8216643,8216642,5783709,4264567,4264564,3711699,2222670,1289330,1289331,736059,736058,1289394,2222806,3711928,5936462,4288829,2564184,2564187,1861203,1861206,3179624,5211658,3704950,3704953,2219827,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,5932699,3709526,2221423,1288634,1288633,1477439,2565808,4291561,6839705,9356263,9356267,254289264,9015488,5886047,3675086,3617710,2160350,2160353,1282843,1282839,1282864,1282858,1282691,1282685,2209310,3690271,254200784,32909926,41836095,254904060,255638598,105191753,90997050,77104492,63982485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7862855, s2 = 9330720, dlinesl.size( ) = 2 s1 = 7862855, s2 = 9330720, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7862855, Dl.E( ) = 14, 1.6e-05 seconds used appending s1 = 7842276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7846140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8068576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8068576, s2 = 8021826, int(edited[s2]) = 0 s1 = 8068576, s2 = 8021826, d1 = 7, d2 = 11 Dl.O(d1) = 59664446,72400152,85996591,85996593,85996594,85996592,256018910,255177060,32833948,32833950,38241304,29676527,22325475,16179957,11246400,11246399,16179953,22325473,20076031,14393572,14393571,16179858,11246322,11246321,11913901,11913902,17000295,23263895,28766723,30680754,30680726,23264083,21564506,21564507,28835918,37376044,38239495,255840660,22325302,29676324,36883331,36883330,42036420,33088728,29049587,21755719,21755721,29049589,30838869,24789822,24789823,32415304,41241067,37597194,37597195,29049411,29049412,29607538,29607539,22799376,16582490,11562798,11562799,7740846,4901430,4901431,7740849,11419724,11419723,7690184,4866758,4866759,7610223,4814613,4814614,254367069,1715032,1715034,2957739,4907136,7748492,11420991,11420992,11427774,9955185,9955186,11447746,11447745,10349968,6814870,6814868,10349966,15022199,20930226,28106661,36578589,38419682,33773747,33773749,30741664,255574764,49266593,39770590,31092416,31092417,23608853,17296429,254859408,15739220,15739221,21798961,29096447,23980373,23980375,31476956,40161495,50178453,50178454 Dl.O(d2) = 22961029,16725127,16725126,268200306,29180946,37741760,34632106,34632108,43904801,54647295,43904775,43904774,38338365,29767390,22404605,22404604,29767386,29767413,29767412,38338395,48248885,48248883,58092848,58092847,49169314,39244256,30648623,23226877,16953643,16953642,23226873,30648611,29000715,21715464,15672253,15672255,21715471,29000724,37546308,29929705,29929706,38339242,29768150,22405180,22405181,29768156,29000788,29000787,21870164,21870163,29180912,37741717,47454322,37546335,29000752,29000751,37546333,44349301,36757272,36757273,46642635,47454330,37546339,29000755,21715489,15672269,15672270,21715492,26642177,19829333,19829332,15672767,10850019,10850021,15672772,21716201,29001673,37547346,47455277,37547293,29001628,29001629,34632037,26641522,26641523,26641708,26641710,34632218,37816998,31072308,23588840,17277057,17277056,23588838,27958016,26641356,19828728,14204189,14204191,19828734,26641362,34631898,34971821,34971855,34971856,37379546,34631823,26641298,19828691,19828693,26641306,34631830,43904536,54647195,47454344,47454341,40478724,31784416,31784415,40478721,50513684,55199788,49226962,39300060,30702662,30702665,39300063,40479586,40479584,46868744,40160114,35197491,35197492,34632282,34632280,43904951,54647395,53184987,42735715,33706126,30409109,30409111,30872769,23443769,17169269,17169268,255986645,39476758,257288114,257049217,256726350,36793209,36793207,31475599,31475600,40160083,50066182,50066183,54647411,58053930,50184529,46621060,36732831,28238086,21039694,21039695,28238092,36732840,46621044,50184564,40160146,39744339,36793116,28296207,21088909,15148391,10447570,10447569,15148384,21088901,21088954,21088953,21088931,21088930,28296378,28968991,26641747,19829018,14222135,9777315,6428609,6428608,9777310,14222126,19851371,17527514,17527516,23871975,31366627,28296283,26606394,26606395,19829031,19829030,26641771,34632298,43904973,54607148,46679219,36793086,36793087,28363564,28238077,28238076,28296446,36793409,36793295,36793296,46679248,36793124,28296210,21088815,15148399,10447572,6887430,6887432,10447579,15148407,21088852,28296278,28296370,28296369,30589950,30589951,34631918,26641376,19851345,14222115,9777301,9777300,14222107,19851331,17527528,12361293,12361292,17527525,23871996,31366615,31366614,40046945,36793153,34632289,34632290,36793290,36793101,28296192,21088803,21088806,21333956,28560179,28296420,21148101,15194805,15194625,15194626,21147877,21306815,254221296,31576719,36876651,46755523,46743515,36862045,36862046,36793222,28296297,21088866,21088864,28296253,28296252,36793172,36861993,36861994,28378197,28378198,36874993,36862003,28363610,28296294,28296293,28363614,35328816,35328817,36793137,28363677,21147807,15194573,10480508,6910004,4339797,4339798,6910012,10480522,15194592,10480528,10480526,10480561,15194649,21147906,255074748,11089601,11089603,15974903,22080492,18683821,18683820,25254660,32977540,28969025,28969023,28969021,22080515,22080513,28380171,36876681,38355637,256408238,21687121,15648121,15648122,21162723,17147195,17147194,23424568,21162724,255518708,11811367,11811369,16881815,15648028,10830833,10489036,10487369,7159713,7159714,10830996,10488919,10488917,8101323,8101321,8101319,11105760,7365438,7365440,5367284,3299713,3299714,5367288,8317712,12314041,10830949,7159681,4509364,2709626,1569713,892511,503607,503609,892520,1569729,2709658,4509416,7159690,10830962,15648200,16453252,16453264,11463776,11463777,12049994,12049995,16252438,11299273,7501848,7501849,7889720,10830850,7159613,4509321,4509322,4342993,4342994,6914681,10487386,6917674,5190342,3166825,3166826,5190347,8101332,8102246,8102245,12051171,17147243,17466411,17466426,15648147,10830919,10830918,10830943,10830890,7159649,4509348,2709618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8068576, s2 = 8021826, dlinesl.size( ) = 2 s1 = 8068576, s2 = 8021826, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8068576, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 6519162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7999794, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11058262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058262, s2 = 9025687, int(edited[s2]) = 0 s1 = 11058262, s2 = 9025687, d1 = 12, d2 = 0 Dl.O(d1) = 28381305,28381318,28364026,28364028,23422382,17145320,17145318,23422376,28379166,21165985,21165984,28383836,22075443,15969878,11084959,11084960,15969882,22075448,17177578,17177579,15194888,10480721,10480722,15194894,16476032,21163373,15206891,10489455,10489453,15206887,18760250,18760249,22075705,15970106,15970104,22075697,20809354,14913891,14913893,11085168,7351006,4643292,4643291,7351003,11085162,15207330,10489881,10489883,15207338,21148153,15194839,15194837,15209011,10491281,10491282,6918133,4346083,4346084,6918136,10491331,15209067,21166004,21148123,15194820,10488665,10488666,15205890,21162265,21162285,21162284,28379737,22075533,15969957,11085006,11085005,255019213,6915271,4343487,4343486,6915269,10488102,255383803,16476012,255487361,21160728,15204398,15204399,21160732,28378111,32977572,25254730,25254731,22075462,15969897,15969896,11085093,11085092,15970081,22075672,29406156,37970060,29406206,22075564,15969995,11085027,7350919,7350918,11085021,15969984,17145483,17145485,22107608,22107609,23442778,17168578,15968613,11084032,11084033,15968621,18683780,13290867,9073507,9073509,12049885,12049888,17145655,23422710,18683879,13290936,9073539,5933626,3710127,3710128,5933632,9073546,13290948,18683893,15997693,11105905,11105904,15997689,22109415,22075667,15970080,15969852,11084945,11084946,15968607,15205325,15205326,21161709,21161182,15204827,10487687,10487688,15204831,21161185,23422630,23422629,28155222,28155223,36629192,39244631,39244630,36875755,36875756,36875742,28383799,21165952,15209015,255384131,28380376,21162894,21162895,18683865,13290926,13290925,18683862,15967537,15207292,15207293,17145610,12049861,8101169,5190228,3166739,1853854,1853855,3166744,4344468,4343483,4343484,4343510,6915302,10488161,10488189,10487602,6914899,4343204,4343205,6914903,7350904,7350905,11084997,11085051,10487977,6915162,4343388,2600598,2600599,4343394,6915173,6918085,6918086,10488322,6915464,4343635,4343634,6915456,10488251,10489826,15206415,10489021,6916056,6916055,10487640,10487639,6916786,5041942,5041941,7930972,11866423,10487664,6914963,4343244,4343243,2600636,1500422,850383,850382,1500416,2600669,4343520,6915314,4343898,2600938,2600937,4343893,6915771,6916411,6916409,10488471,10488472,10489443,10487967,6915344,4343545,4343544,6915168,6914556,4342924,4342925,6914563,4344750,2601564,2601563,4344742,6916805,10489852,7349964,7349965,11083792,11085273,10488580,10488582,10488036,6915197,6915198,10488038,6915263,4343481,2600643,1500403,850379,480294,270348,270349,480297,850389,1500436,2600706,4343590,6915382,5190147,3166680,3166681,5189995,6916612,10489652,10488475,6916442,6916440,6916477,6916478,8101030,6916213,4344267,2601225,2601222,254492651,4343774,2602547,1501728,851191,851192 Dl.O(d2) = 4876157,2938152,254170009,545449,545448,968445,1703759,2938148,254796451,11575159,16596825,12001572,8054906,8054905,12001570,258838133,256984078,47876238,255115502,22063271,21667945,15631790,10817465,10817463,7344462,7344459,7344496,7344497,11076244,15959266,22063818,22041066,15965449,11081270,11081269,7484904,4730048,2849756,2849755,4730046,7484901,7348584,4641401,4641402,7287592,7287591,11008593,255440835,29302492,256915069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058262, s2 = 9025687, dlinesl.size( ) = 2 s1 = 11058262, s2 = 9025687, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11058262, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 8259838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14118533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14118533, s2 = 11659805, int(edited[s2]) = 0 s1 = 14118533, s2 = 11659805, d1 = 3, d2 = 4 Dl.O(d1) = 163647927 Dl.O(d2) = 254645794,25239376,25239378,32960748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14118533, s2 = 11659805, dlinesl.size( ) = 2 s1 = 14118533, s2 = 11659805, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14118533, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 11011308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11005902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14493133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14493133, s2 = 7840590, int(edited[s2]) = 0 s1 = 14493133, s2 = 7840590, d1 = 16, d2 = 14 Dl.O(d1) = 7080343,254524420,15496445,21504205,268083200,17539945,17539944,23341006,255840464,28502305,28502306,21289703,15324430,15324428,15897906,21996743,16717344,11675568,11675570,16717350,22953992,28509770,21289771,15324476,12273776,8288600,8288598,12273770,17414889,21713193,16038081,16038082 Dl.O(d2) = 15500494,21509575,28509263,23254102,23226000,23226001,28509685,28770515,28509795,21289808,21289807,28509792,28509907,21289913,21289912,21289774,21289775,254502974,21289799,28509715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14493133, s2 = 7840590, dlinesl.size( ) = 2 s1 = 14493133, s2 = 7840590, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14493133, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 9072702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9072702, s2 = 14056912, int(edited[s2]) = 0 s1 = 9072702, s2 = 14056912, d1 = 10, d2 = 7 Dl.O(d1) = 269829240,268749422,30164963,23098716,23098717,19576647,16618620,255499159,256441913,257321535,27122550,20219002,14508852,14508853,20219004,27122555,35215068,38011322,40960315,32181347,24594520,255220593,8751731,12869008,255420098,32181352,40960320,49460569,60863542,268620218,72504899,59770872,48387982,38485062,33067216,25337619,18757903,13356844,9128229,9128228,13356841,18757899,18954542,13517945,9250100,9250101,13517952,10556842,10556843,15291869,21256308,254495968,10938789,10938791,15789027,21861609,29171309,36743523,255672704,21047621,17394790,17394789,23718586,31205599,30850274,23420022,17143611,12259219,12259218,17395997,22180367,22180366,22180395,16054198,16054200,12488253,8458448,8458445,12263212,17401379,22770252,16556224,11539987,11539988,12266010,8283349,8283347,12266002,17405172,12268126,12268125,9248830,6057264,3790149,3790150,6057270,9248845,13516352,13516411,18953073,17236396,17236397,23544485,23882745,31379753,23917607,23917606,31191746,31191747,36623254,31216272,23731800,17407383,17407382,23731794,255026122,17394310,255555121,29467910,31207098,31207019,23720177,23720179,31207022,31204726,31192730,31192731,39874522,37751815,29190331,255475756,258649205,33993500,26151991,26151990,255498148,11136623,16038820,22159062,22159063,19453216,16038406,16038407,22159574,16038890,11136673,11136675 Dl.O(d2) = 11585672,11110476,11110475,11109978,7368475,4654914,2804289,1626828,925076,925075,1626821,1626834,1626836,2804304,2809119,2804317,2804319,4646430,4646431,4666275,2811218,2811219,4655061,2804354,2804356,1630886,1630887,1630912,2811258,4666340,7386314,11135828,11110195,7368612,7368584,7368581,11110135,11110173,16003244,17161305,12064916,11090844,11090843,7368867,7368868,11110541,11110122,11110120,16003173,16003087,11110076,7368545,4654957,2804411,1626877,925102,521473,521474,925108,1626891,2804431,4655179,7368905,11110604,16003858,11584893,11584894,16037660,22158797,22159246,29498059,22159364,22116022,22115720,16002998,16002999,22115723,29449416,22116615,16003826,11110581,11110582,11127392,16026371,22082552,15976771,15976770,11110628,7368924,7368925,11110636,11584887,11135679,11135678,11135684,11135693,16003433,22115919,22080057,15974521,11584739,11584738,11110154,7368592,7368593,11110161,16003230,16003672,16003671,16003872,22116678,29412890,29449811,29449812,22116594,22116596,16610992,16003800,16003720,11110488,7368840,7147966,7147965,10815889,7368815,7368813,7368849,11110511,16003750,22116364,22116366,22831010,30223129,29412972,29412971,29450340,22116724,16003907,16003906,22116605,22158734,22158735,22158744,22158758,29497649,29449388,22115687,16002965,11109985,11109986,16002969,22115699,22115987,22115965,22115966,22116425,22116427,22116689,29450306,37976267,38011945,30223508,30223510,30224095,22832100,22832099,22116496,16003712,16003711,21665267,21665268,22116383,22116382,29449977,38012099,29450167,29450166,29450076,22116455,22116456,29450080,29815241,29815240,38012464,29815269,29450356,29450355,38012369,38012370,33050601,29497640,29497639,38060539,38470390,38470392,38012108,38012106,47926309,38011639,38011638,38012016,38806692,38011806,38011805,38011819,47926439,38806767,30223541,22831528,16610386,16610385,22831521,30223525,30224089,37974079,29450111,29450110,38012254,30223577,30223050,30223049,29450044,22116438,22116439,29450048,29815224,29450067,29450068,38012212,38387933,29815265,22447361,16277770,11318862,11318861,16277767,22447353,29815252,38387958,47839386,47926662,39965911,39965912,49982436,59319475,60645313,72024688,59288099,255116124,47891938,59288092,59684574,48727397,38806759,268415058,60122284,60787311,49386458,49386457,47926766,47926765,47926731,255941026,72054113,59319495,47926687,269335451,59684558,48298261,48298262,48298265,48506758,256425141,22646804,22646803,30019260,37552916,39317724,30719422,23302115,23302114,24000689,22829777,22829776,30221967,254797012,17179035,12078832,255539527,255940784,28851487,26150724,26150723,21284668,21284669,28502930,30047573,29704936,22350201,17656425,12485801,12485803,17656431,24000655,29704086,22646780,16456005,16456004,13920704,9554733,9554735,13920709,12485827,12485826,16995521,16995522,23258745,30675021,30719399,30719398,39317683,33992536,26151073,26151072,33992530,33992266,26150811,19452378,19452377,23258768,16995537,16995536,19452708,19452709,26151105,19452633,19452383,19452385,21579488,15556051,15556052,15320974,15320973,21284675,26151125,19452655,19452654,19452317,17656416,17656417,19452311,22349594,16199214,16199212,19452591,13920716,9554741,6269492,6269493,7966426,5068411,5068410,7966420,11909846,16995528,23258749,23258716,17313155,17313154,23628736,19452618,13920737,9554752,9554751,13920731,19452607,26151065,19452707,13920801,9554786,9554787,13920806,19452693,19452694,26151110,21579496,21579497,22350125,22350124,29704830,28502938,26151128,19452659,13920765,13920767,13920524,9554634,6269428,254671483,11261026,7475689,7475690,7475532,4724472,2846624,2846623,3925432,2350031,1361394,775943,775940,1361386,2350019,3925409,6269448,9554672,13920591,16199574,16199572,22350075,19452462,19452464,23628727,28599193,21366140,21366139,28599188,37107604,256535112,71079335,270806569,60151403,257396284,16632329,269764540,270341985,256880386,38252249,47315759,52087632,41773967,32853265,25146425,18590314,18590315,25146426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9072702, s2 = 14056912, dlinesl.size( ) = 2 s1 = 9072702, s2 = 14056912, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9072702, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 7585558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7585558, s2 = 15337999, int(edited[s2]) = 0 s1 = 7585558, s2 = 15337999, d1 = 30, d2 = 61 Dl.O(d1) = 268539852,32152159,32152160,38620292,30145930,30145931,37303252,37303253,30658271,30658270,23237026,16964930,11876810,7939716,5049587,5049588,4830131,4830130,7634875,11479154,16475327,22671207,30046503,38620288,40394693,40394692,50118850,47488667,47488666,48002157,46272841,46272843,46689822,38090649,29527088,22184823,22184824,256023574,15090469,15090470,11217974,11217971,11217970,16147164,19496556,26206495,34062028,29454585,22120366,22120365,27301272,29671192,22319978,16175004,16175003,19496850,19496849,255051357,10855276,254524939,254165381,523317,523316,928459,1632635,2814084,254524969,11146637,16053456 Dl.O(d2) = 73559798,73559783,60813307,49413033,39483253,30877780,269375939,101174647,108647172,94359236,80302764,66873514,54615815,43873573,34603411,26615958,256199233,43873574,54615817,66873518,258164434,71112576,84677283,98602408,112597599,260613519,100037726,86074511,72476378,72476379,86074515,100037728,258788088,72727000,72726999,268646640,50288368,50288369,54615630,43873383,43873382,54615627,66873322,80302590,80302747,66873496,54615795,43873549,34603394,26615944,19807179,14187754,14187755,19807182,26615948,256722231,34603414,26615961,19807189,255312790,14187750,14187751,16517601,16517600,22722743,30104329,38681412,48597653,59989586,72726993,270663746,257922028,54615640,43873393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7585558, s2 = 15337999, dlinesl.size( ) = 2 s1 = 7585558, s2 = 15337999, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7585558, Dl.E( ) = 80, 3.72e-05 seconds used appending s1 = 11055872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055872, s2 = 658429, int(edited[s2]) = 0 s1 = 11055872, s2 = 658429, d1 = 4, d2 = 1 Dl.O(d1) = 20285570,15318761,10580427,6979650,6979652,10580432,15318767,19127997,13657507,13657509,19128000,25767733,23989336,23989337,24421189,19011046,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038 Dl.O(d2) = 16809970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055872, s2 = 658429, dlinesl.size( ) = 2 s1 = 11055872, s2 = 658429, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11055872, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2141121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8340424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8340424, s2 = 14939201, int(edited[s2]) = 0 s1 = 8340424, s2 = 14939201, d1 = 22, d2 = 15 Dl.O(d1) = 48979190,60375883,258813793,259033483,64410747,257201037,42179536,52537371,64410745,64414052,64414054,77582735,86869324,86869325,100850424,112453474,259380616,259380626,105733635,259452900,77578855,258132538,256943190,105731200,257523022,258018264,77582710,91513844,105737823,105737825,105737824,258642850,77577770,64409872,64409873,70977560,84540961,98463206,112453482,105739019,91515262,91515263,91508452,86721550,73116000,73116001,86717533,73111766,73111767,86717536,99343353,99343352,100696889,260654755,100696760,86721389,73115829,60375868,48979176,256458347,23057778,23057780,30466542,39056790 Dl.O(d2) = 30525619,23107993,16849865,16849864,11783870,11783869,255516749,21583379,28856304,30525601,257007329,52273308,41934478,32993733,32993732,32993734,32993735,41934479,49053944,258196063,258926924,41934475,41934476,52273303,64122376,64122371,52273300,52273301,64122374,77269657,77563142,64394947,64394948,77563138,67721510,55381644,55381643,67721508,259165797,95241620,81186458,81186457,259793241,81186453,77563144,73205027,67721502,67721501,67721493,55381632,55381631,67721490,67721498,67721487,67721474,67721475,67721470,55381611,55381612,44535438,35159227,255750189,20177676,27073133,35159221,35159203,27073120,27073118,35159200,44535392,55381619,59722181,48337532,48337531,55381679,44535434,35159226,27073130,20177674,14477237,14477236,20177672,27073126,35159218,44535422,55381659,67721523,67721515,55381677,55381678,67721463,55381599,55381598,55381608,55381674,67721534,81186449,81186447,81186446,258768961,72457940,67721528,67721527,59722118,48337482,44535414,44535415,257916399,67721521,81186440,86056325,81186437,67721535,67721536,260042952,48337480,48337504,38433500,29873903,268640103,48337509,59722134,59722135,48337554,48337555,59722202,48774297,48774296,48337519,48337518,48337517,59722163,60168449,60168450,72905134,72457971,59722158,59722159,72457972,257776874,59722127,59722126,72457950,86056300,100019457,86056297,72457946,59722124,59722125,72457948,72457965,59722155,48337513,48337512,59722152,59722151,258145151,85374924,85374925,73270092,73270091,85374929,71785434,71785433,270829141,59043541,59043540,71785436,59722136,59722137,48337503,38433498,29873902,29873901,30599803,30599802,37719746,37719745,268932755,29159917,37719759,47641770,256917334,256374964,59716315,255067948,38423592,255442526,256374962,29159898,268625367,47641739,47641740,37719751,29159906,29159907,37719752,47641763,59043534,47641774,256360015,21851462,21851463,29159921,37719764,37719755,37719734,29159892,21851444,21851443,29159884,21851438,21851439,21851441,21851442,15780548,15780549,10931848,254513707,4559217,7232735,10931851,7232756,4559231,2741549,254162629,509366,285565,157802,86716,86719,157690,285352,508941,509450,902378,902386,902388,1585072,1585074,2735312,1584919,901024,901021,254230289,2736637,2736635,4550875,4550874,4558456,4558457,4550417,4550416,2736804,1588660,1588659,2741408,4559048,7229949,4556813,2739808,1587647,902534,509038,285399,285401,509042,902542,1587664,2739715,2739714,4556684 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9829281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7931951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7931951, s2 = 1423659, int(edited[s2]) = 0 s1 = 7931951, s2 = 1423659, d1 = 17, d2 = 7 Dl.O(d1) = 6933150,4356188,4356189,4352865,2607063,1504545,852875,481686,271105,150300,82681,45251,25128,25129,45252,82684,150307,271116,481709,852918,1504603,2607145,4352991,6928795,10507517,15232061,21196070,22342389,16193644,11256788,11256790,16193653,22342134,22342494,23426290,17148545,16193725,11256842,7472871,7472870,7472750,4722629,2845399,1650805,1650797,1650792,938808,529180,529178,938825,1650829,2845437,4722693,7472860,10780185,8957610,8957613,13142892,11256576,7472707,4722609,4722610,7472713,11256587,15231963,10507441,10507442,6928853,6928852,10507506,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193248,11256558,7472699,4722605,2845387,2845380,2845365,1650785,1650783,2845359,2845417,2845423,4722672,7472822,11256771,15583601,13142881,13142879,16193336,11256597,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196043,28418285,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695675,38261593,38261714,29695795,22342210,16193520,16193519,16193195,11256518,7472677,4722587,4722586,7472618,7472619,11256461,11256751,11256750,16193594,22342326,22342350,28888736,25031794,25031793,32718258,38261346,38261298,29695445,22341969,22341970,29695477,38261342,48170733,38261099 Dl.O(d2) = 16263616,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888578,21196343,21196342,21984468,21984467,21984602,15888575,11014170,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467913,15177673,16193433,16263677,21196474,21196472,28418834,36916712,36916716,256847954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7931951, s2 = 1423659, dlinesl.size( ) = 2 s1 = 7931951, s2 = 1423659, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7931951, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 8037742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8037742, s2 = 10341354, int(edited[s2]) = 0 s1 = 8037742, s2 = 10341354, d1 = 7, d2 = 7 Dl.O(d1) = 12420186,8394619,5417254,5417253,254855193,17595996,269401047,11829782,11829783,13173371,13173370,18539840,25083953,18539896,18539898,14536967,14536968,15463484,11013203,7290595,7290593,10788782,10788781,15595702,17195601,17195600,19010672,19010671,19220137,19220135,14536979,14536978,20261043,16183422,16183424,16654299,13586967,13586968,19034679,17975937,17975934,24373932,22719656,16514636,255007708,254486776,20292021,15030064,10357926,10357927,15030067,20938189,28115080,36587761,46453754,49235566,49235565,57644956,46300302,36447060,27988043,27988042,29832292,27284534,27284532,35409870,38686783,30110570,30110571,24021893,17672389,12496975,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,15808644,16523670,267877734,21884895,15808969,10955023,10955024,15808972,21885231,21897721,15819047,15819048,21219210,15250324,10520804,10520805,15250328,17489578,17489579,267743490,20826533,27988242,28028398,254322972,254707860,10311097 Dl.O(d2) = 12420186,8394619,5417254,5417253,254855193,17595996,269401047,11829782,11829783,13173371,13173370,18539840,25083953,18539896,18539898,14536967,14536968,15463484,11013203,7290595,7290593,10788782,10788781,15595702,17195601,17195600,19010672,19010671,19220137,19220135,14536979,14536978,20261043,16183422,16183424,16654299,13586967,13586968,19034679,17975937,17975934,24373932,22719656,16514636,255007708,254486776,20292021,15030064,10357926,10357927,15030067,20938189,28115080,36587761,46453754,49235566,49235565,57644956,46300302,36447060,27988043,27988042,29832292,27284534,27284532,35409870,38686783,30110570,30110571,24021893,17672389,12496975,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,15808644,16523670,267877734,21884895,15808969,10955023,10955024,15808972,21885231,21897721,15819047,15819048,21219210,15250324,10520804,10520805,15250328,17489578,17489579,267743490,20826533,27988242,28028398,254322972,254707860,10311097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8037742, s2 = 10341354, dlinesl.size( ) = 2 s1 = 8037742, s2 = 10341354, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8037742, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 9800421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8012290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8012290, s2 = 14113396, int(edited[s2]) = 0 s1 = 8012290, s2 = 14113396, d1 = 1, d2 = 1 Dl.O(d1) = 259092242,13554071,13554072,255675133,17782065,255093737,254659541,3825288,2291826,1329781,1329780,2291823,3814882,6097365,9308254,9330106,6111571,6111572,6104903,3819827,2288488,1327725,1327727,2288496,3819838,6104930,9319622,13610365,15461484,15461485,21461750,256328915,23775857,23775860,19150538,19150537,17823408,12619438,8566068,5562048,5562049,8566073,9303939,9344929,9344930,13647003,10330613,10330612,13582827,9300421,9300423,9333647,13609285,19063428,25647324,29708976,25723293,25723294,28951019,28951020,25660420,24145770,24145771,22663404,22663405,256426637,255822793,21281728,22353735,16202402,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,10485372,6913195,4341938,4341936,6913186,10485346,15201915,21157620,19114614,19114613,20063662,14379394,14379393,19125245,13655343,9350809,9350812,13655352,19125260,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006078,19679931,19679930,26416181,34292274,256092446,16264967,16264966,22432621,17867456,12652940,12652939,17867453,24243524,31755230,40450162,260154127,260751800,259980138,59326226,257503150,29459054,22124809,22124810,29459056,38020918,47934613,49346474,49346473,49346438,39416959,39416958,49346440,39416983,39416984,48910212,47934628,38020927,256485166,59326269,72060530,72060531,85647615,99597536,93492946,79356586,79356587,93492948,81604880,68116225,68116224,64109053,259662807,52570316,52570317,64445432,269884888,60522753,60522754,61932679,60200069,60200068,72938884,64445420,64445419,269980238,84423123,270801825,126176228,262155265 Dl.O(d2) = 259092242,13554071,13554072,255675133,17782065,255093737,254659541,3825288,2291826,1329781,1329780,2291823,3814882,6097365,9308254,9330106,6111571,6111572,6104903,3819827,2288488,1327725,1327727,2288496,3819838,6104930,9319622,13610365,15461484,15461485,21461750,256328915,23775857,23775860,19150538,19150537,17823408,12619438,8566068,5562048,5562049,8566073,9303939,9344929,9344930,13647003,10330613,10330612,13582827,9300421,9300423,9333647,13609285,19063428,25647324,29708976,25723293,25723294,28951019,28951020,25660420,24145770,24145771,22663404,22663405,256426637,255822793,21281728,22353735,16202402,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,10485372,6913195,4341938,4341936,6913186,10485346,15201915,21157620,19114614,19114613,20063662,14379394,14379393,19125245,13655343,9350809,9350812,13655352,19125260,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006078,19679931,19679930,26416181,34292274,256092446,16264967,16264966,22432621,17867456,12652940,12652939,17867453,24243524,31755230,40450162,260154127,260751800,259980138,59326226,257503150,29459054,22124809,22124810,29459056,38020918,47934613,49346474,49346473,49346438,39416959,39416958,49346440,39416983,39416984,48910212,47934628,38020927,256485166,59326269,72060530,72060531,85647615,99597536,93492946,79356586,79356587,93492948,81604880,68116225,68116224,64109053,259662807,52570316,52570317,64445432,269884888,60522753,60522754,61932679,60200069,60200068,72938884,64445420,64445419,269980238,84423123,270801825,126176228,262155265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8012290, s2 = 14113396, dlinesl.size( ) = 2 s1 = 8012290, s2 = 14113396, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8012290, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14052688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052688, s2 = 9660522, int(edited[s2]) = 0 s1 = 14052688, s2 = 9660522, d1 = 6, d2 = 6 Dl.O(d1) = 152356317,164229032,167646240,156038104,143499731,130168979,116329998,102235420,271416189,130168977,140896496,127541466,113670312,258811540,72124774,59393847,48005493,48005492,58129004,46760752,46760753,255955618,59092891,257580412,99363106,113364549,127222768,127222767,138913645,125579855,111770776,97845315,83983459,70455638,57760593,46409758,36548187,36548188,46409760,38380894,29808833,29808834,38380891,38380892,29808836,29808835,29808831,29808830,22442171,16273862,11315959,7513508,7513507,11315957,255473653,255998262,28599048,28599049,21366039,21366040,21366042,21366041,28599053,28599054,37107477,256502446,62751445,59891730,48497701,48497700,59891728,59892542,59892543,71079212,84641850,84641856,71079216,58362750,58362749,71079214,84641854,98564763,112557914,126426729,126426731,112557916,112557917,105882579,91675753,91675754,105882581,120094154,133936440,129505860,115621194,115621193,129505858,142822538,142822532,142822531,155403722,167043779,167043785,167043784,155403728,155403729,257184836,115621196,101581057,101581056,115621195,101581061,87614001,74009818,61229024,49749852,39731024,31052439,31052440,26033267,19355520,254914374,33854668,38737549,38737548,42899697,53365764,65369617,78674328,92737266,107076778,121373371,114371178,107076773,92737263,78674326,78674327,92737265,107076776,107076774,107076775,121373369,112557919,98564765,98564764,100204690,114238987,109513390,95259300,81203365,67738786,67738785,81203364,95259298,109513388,123705070,137435083,126524733,112660917,112660918,104469331,90321420,76492093,63444609,51694637,51694638,63444610,76492095,90321421,90321424,76492098,63444615,63444614,68069813,55670464,55399789,44553212,44553213,51694639,63444612,76492084,63444604,51694634,41444302,32577616,32577617,41444304,257746059,76492086,90321409,89154909,89154908,81559849,81559848,90819860,258550823,55670461,44760292,35332561,35332560,44760291,44553217,35175761,27087742,20189750,14486200,9967247,6550701,6550700,9967245,14486198,20189748,27087615,27087616,20190261,14486613,255335059,20166448,20166449,20189837,20189836,14487575,9968197,9968198,14487577,14486679,9967590,6550920,6550921,9967591,9967908,6551114,6551115,9967912,6551185,4104091,2454870,1419049,807243,807244,1419053,254317499,6551216,9968062,254984887,6580513,4122886,4122887,6580515,10012170,255340781,27207314,35332583,44760325,55670492,258550827,260416965,137609156,273234494,74322528,61546454 Dl.O(d2) = 152356317,164229032,167646240,156038104,143499731,130168979,116329998,102235420,271416189,130168977,140896496,127541466,113670312,258811540,72124774,59393847,48005493,48005492,58129004,46760752,46760753,255955618,59092891,257580412,99363106,113364549,127222768,127222767,138913645,125579855,111770776,97845315,83983459,70455638,57760593,46409758,36548187,36548188,46409760,38380894,29808833,29808834,38380891,38380892,29808836,29808835,29808831,29808830,22442171,16273862,11315959,7513508,7513507,11315957,255473653,255998262,28599048,28599049,21366039,21366040,21366042,21366041,28599053,28599054,37107477,256502446,62751445,59891730,48497701,48497700,59891728,59892542,59892543,71079212,84641850,84641856,71079216,58362750,58362749,71079214,84641854,98564763,112557914,126426729,126426731,112557916,112557917,105882579,91675753,91675754,105882581,120094154,133936440,129505860,115621194,115621193,129505858,142822538,142822532,142822531,155403722,167043779,167043785,167043784,155403728,155403729,257184836,115621196,101581057,101581056,115621195,101581061,87614001,74009818,61229024,49749852,39731024,31052439,31052440,26033267,19355520,254914374,33854668,38737549,38737548,42899697,53365764,65369617,78674328,92737266,107076778,121373371,114371178,107076773,92737263,78674326,78674327,92737265,107076776,107076774,107076775,121373369,112557919,98564765,98564764,100204690,114238987,109513390,95259300,81203365,67738786,67738785,81203364,95259298,109513388,123705070,137435083,126524733,112660917,112660918,104469331,90321420,76492093,63444609,51694637,51694638,63444610,76492095,90321421,90321424,76492098,63444615,63444614,68069813,55670464,55399789,44553212,44553213,51694639,63444612,76492084,63444604,51694634,41444302,32577616,32577617,41444304,257746059,76492086,90321409,89154909,89154908,81559849,81559848,90819860,258550823,55670461,44760292,35332561,35332560,44760291,44553217,35175761,27087742,20189750,14486200,9967247,6550701,6550700,9967245,14486198,20189748,27087615,27087616,20190261,14486613,255335059,20166448,20166449,20189837,20189836,14487575,9968197,9968198,14487577,14486679,9967590,6550920,6550921,9967591,9967908,6551114,6551115,9967912,6551185,4104091,2454870,1419049,807243,807244,1419053,254317499,6551216,9968062,254984887,6580513,4122886,4122887,6580515,10012170,255340781,27207314,35332583,44760325,55670492,258550827,260416965,137609156,273234494,74322528,61546454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052688, s2 = 9660522, dlinesl.size( ) = 2 s1 = 14052688, s2 = 9660522, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14052688, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 7562045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7562045, s2 = 270999, int(edited[s2]) = 0 s1 = 7562045, s2 = 270999, d1 = 0, d2 = 4 Dl.O(d1) = 267994318,31141027,23653509,23635552,17319777,17319778,23318834,17054280,11963822,11963820,17054339,17337837,254392182,17259530,13330083,13330081,17320336,12195459,8225716,8225715,12195456,17320331,17106338,12020407,12020408,17106340,23375993,30803950,31147095,254586214,254266938,31121734,23635642,23635643,22487513,16314850,16314847,17284226,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541303,11349336,16312357,22484102,29849490,28698555,28698553,29868570,29868571,32200464,24612052,24612053,22494026,16320453,11354472,11351638,11351637,16316046,22488905,16323176,16323174,22497231,22474846,22474847,21101932,21101933,22472356,22472354,21294699,21294698,28515869,37015351,29856998,267842790,37000927,28503440,21297811,21297812,16345062,11373083,11373084,11346791,11346787,16308202,22479026,22777011,22083430,22083427,22490423,16317351,16317352,21297469,15330108,15330110,21297476,21296950,16309644,16309645,22480874,16316412,16316413,16317640,16322188,11355543,11355544,12118651,10588326,10588328,15330686,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918381,22019777,22472527,21296523,15329448,11352721,11352719,12139570,12139568,17259620,22476570,16306104,16306105,22475589,17175302,16491223,16491222,22692720,23355046,23452224,17175285,16316882,16316880,16736557,11693059,7798593,7798594,11693061,267905260,30374608,38415592,37016955,30413473,23008741,16769479,16769480,16306303,15916831,15916830,15921766,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467990,16356797,11382938,7562570,7562571,11382945,16356813,22529473,16777240,16777239,23017494,30412798,30412799,28424658,21201389,15236170,15236169,21201385,28424646,29354845,28891380,22386021,21615235,16303751,16303752,16355507,16355509,15152546,15152545,16349864,21095064,28304095,27232614,20303503,20303502,27232609,28301581,21092954,21092955,16287279,16287278,22455511,22516881,22516878,29874405,29577461,29577462,29871287,38432113,31620680,31620679,40309096,256888898,29576323,29928219,22567842,22567843,29928221,29578156,29578155,255177474,16459623,22650989,28303287,28303286,22473582,16303810,16303811,22473586,28302047,36799149,35185225,27096481,27096483,21105367,15160359,15160357,11179371,11179370,16095516,21105802,15160647,10455272,6891804,6891803,10455269,15160640,21105790,28301203,23838012,17498187,17498186,21915473,21915472,29232465,28302299,21093515,21093514,28300118,23872666,23761570,17433872,17433873,23761578,31246042,38143696,29577199,29577198,38143693,46683315,40309146,31620769,31620771,37425681,28974701,28974700,28304298,28304299,36801025,36798377,36798179,28300891,28300892,28301320,28301317,30782596,30782595,28301101,28301099,36798352,36800704,29576599,29576601,31620691,31620692,38395066,29822703,29822704,22518339,22518340,27096477,22567890,21092919,21092920,17172609,12074359,12074361,12140089,12140088,17260222,15150877,10449053,10449052,15150872,21092640,28301185,36798422,46683744,40309099,36798085,28300795,254774634,255465112,21092351,15150692,10448959,10448957,15150684,21092341,15151405,15151404,21093389,21093387,25088986,22567833,22567832,28303917,25403962,25403963,28300071,21091748,15152091,15152090,21091930,15150433,15150307,15150308,10449791,10449790,15152126,21094459,23079444,23079445,28303308,28303309,35175135,30493094 Dl.O(d2) = 25088104,32785487,32785486,41701853,32786539,25088661,18543521,13175938,13175936,18543520,17299336,17299334,23612348,28892282,32785661,25087789,25087787,32785658,254779326,36782627,36782628,36513233,29839658,22472023,16302579,16302580,15554838,15554837,12410445,12410444,17582722,22509807,20880681,14978520,10310897,6781978,6781979,10310900,14957914,10341784,6808384,6808385,10341787,10310884,10310885,14978502,13299564,10373473,6835158,4288702,4288701,6829586,6829585,10366958,15024176,10352112,10304927,10300218,10300215,9101294,9101293,12663136,12663137,17879455,20951614,28055084,255564004,254793547,7676145,7775754,254803903,13290571,14998893,10329320,10329323,8127974,6806975,254324247,2552450,4269214,5380846,8336819,10337472,6804766,4267614,2551457,1469749,831388,468936,263707,263708,468940,831403,1469778,2530938,2530940,4233082,4263751,4263752,6799278,8334840,12337637,8334785,6774600,4246392,4246391,6774594,6778665,4248994,4248991,5930023,3707876,2220512,2220514,3707890,5930049,6367428,9681057,6367462,6367466,9681105,9647731,6343450,3979854,3979856,3715110,3715109,5941286,6820134,4278311,2557963,2557964,3307788,3307787,3716095,4278288,2557950,1473345,1473343,2557939,4278262,6820065,268062837,6773978,6773979,8052938,5143741,3129213,3129212,3708026,5930262,6785459,8052931,5143733,5143734,8052927,11999701,17087066,18683160,17185100,17185101,23464612,30898082,254260756,12083579,12083469,8125612,5205732,5205731,5205764,8125655,255153075,10374582,6835985,6835987,5210690,3179030,1860881,1061942,597032,332784,183205,183207,332788,596888,597215,1062288,1861611,3180398,5212957,8136310,12097868,17203248,23487102,30924990,257039187,49470426,53678071,43167777,34084437,26223636,26223637,34084440,37409866,43166856,37409868,37409870,47318294,58707176,47344763,37437601,28896985,21621474,21621476,28896988,37437606,47344772,53677590,43167337,43167338,46296957,36443612,36443613,46296958,57641505,70331896,83856943,259864361,111636452,125438948,138767586,151468865,163352457,174205074,183875183,273688697,205823169,199729645,192442497,183978423,174318477,262453692,261416894,125556594,111749364,97825759,83965589,70438563,57743593,256623410,14991226,14991227,20895105,28066029,36532509,46393087,48671144,42703517,33672945,25866782,19208946,13720223,13720221,17725660,20151835,14456144,9945480,6536530,4095406,2450073,1416540,805889,254153387,2450064,4095388,6536499,9945422,9944281,9944285,14454150,14454206,20149494,17712187,17712188,17836938,16171695,11239200,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129061,17920792,15735933,15735935,10898457,7208062,4541690,4541688,7208052,10898430,15736007,20012220,24082764,24082767,23796782,22316795,22316796,17464391,17464390,254353744,22317472,16172254,254764918,268082435,22316439,267909068,11238976,11238718,7459364,4713696,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,8449566,5457777,5457778,8449568,12478888,17462572,17462569,19704462,21785366,21785368,21800210,17464298,16163253,11230192,11230191,7459838,7459839,11239506,15739537,12245266,12245268,17377154,12312764,12312766,12294135,12294138,16171091,16171088,21793106,21793104,19837328,15726447,10890283,10890287,10897885,10897880,15130736,15736755,10898908,7208319,4541829,4541830,7208325,10898919,10029345,10029344,10898886,7208675,4542013,2730376,2730374,4542007,7208659,10899546,15737765,18832567,18832568,21799452,29096904,27240819,27240818,25426566,18833081,13418241,13418242,18833085,21065133,23145272,16885034,16885036,17041131,15387050,14169050,14169048,15736403,15736401,19781630,19781629,26585655,21793765,15734878,15734877,21793762,28265094,28265092,21065315,254184084,10898593,15736264,21785105,21785106,23692900,23692901,17371902,12239843,8265429,8265428,12239840,17371899,15720568,10883912,7196604,4533907,4533908,7196607,7207566,4541433,4541432,7207563,10897551,15734621,21793405,254185070,7207756,7207757,10897862,15734543,17372275,15734589,15734590,16737918,254105424,28755488,37289361,47197704,58589044,254398086,254841522,112814392,126671396,140024562,256507370,164557017,175320896,184873278,258868562,206424432,211427738,206424435,206424436,211427739,215517950,218897693,221751106,224199596,263230954,229794394,231234871,264556752,264808152,265239620,265596252,234921361,266021864,231466725,230050645,265872590,228454621,265728692,226638730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7562045, s2 = 270999, dlinesl.size( ) = 2 s1 = 7562045, s2 = 270999, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7562045, Dl.E( ) = 10, 1.1e-05 seconds used appending s1 = 9791461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9022492, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16203336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16203336, s2 = 1659258, int(edited[s2]) = 0 s1 = 16203336, s2 = 1659258, d1 = 19, d2 = 16 Dl.O(d1) = 2183886,3652052,254637679,13150828,18509710,268482031,25045344,25045343,32734443,41615878,32711100,25025819,255638619,13139200,8954903,8954902,13139198,18494330,268481131,32711092,41615867,51917576,258997155,76829201,90699574,104869865,119056317,132878633,146098617,158464081,169827835,180006495,188964684,196726395,202947154,263677729,179267166,168980219,157516491,145081675,131822299,117994093,103848496,89744040,75964369,62981289,62981288 Dl.O(d2) = 21305792,15336641,15336289,15336290,10592535,6987659,6987660,10592542,15336596,10735923,10735921,15522803,10735758,7093249,4466085,2683158,2683161,4466093,7093269,4466105,4466104,7093291,10735842,15015875,10344100,6810109,4271278,4271280,6810116,10344108,15015884,20923302,28098749,22535970,22535972,29890627,28098706,20923275,15015859,10736101,7093421,7093422,10736106,15523426,21539217,28806069,28806119,21539264,15523454,10736138,10736137,15522992,15522993,21538567,28805373,29537146,29537147,38100745,254767634,268083616,255078474,21539253,21539254,255374611,10409879,6861998,4306528,4306527,6861996,10409877,15093440,21014896,28207729,255843437,15522849,15522850,21538351,22193956,22193957,29537063,28297471,22148072,22148071,29486346,38049829,38099669,29535829,22192598,22192599,29535833,38099672,48010663,47253001,38175816,37344096,37344097,254525336,16065434,11155133,11155134,16065437,22193889,255078476,29181473,21870675,21870674,29181472,36734211,28239379,28239380,29925425,29925424,30879137,30879138,37742338,39484804,36794601,28297481,28297480,36794597,38100629,37742317,37344187,28806177,28806178,29386401,22148068,22148069,22963600,16726935,16726934,22963596,29386394,36794656,28297516,28297517,22829588,22829586,22963578,22963581,30365612,36734182,46622374,46680625,52048731,41734211,38203109,29636366,22284643,22284642,29636361,38151549,29585496,22660151,16466182,11472835,11472834,16466179,21089862,21089859,28297501,36794632,37742325,37742326,35164449,35164446,38485924,38485903,29925449,29925450,37263600,28731448,21473991,21473992,28731449,255486322,30809966,30809968,37742322,29181481,29181480,37742320,38049834,38049835,38996242,30810001,23381489,23381490,30810006,29925303,29925302,38203107,38203106,36795030,36795029,29181489,21870684,21870685,29181491,23824092,23824094,30035239,36794624,36794623,30785228,30785229,30728416,30728407,29925332,22565540,16385413,11404009,7578143,7578145,11404017,16385424,22565559,23379434,30807699,37353176,28814350,21546074,15528785,15528787,21546082,268083592,16064630,255892004,38197829,29631278,29631277,38197796,38196630,30807707,30807703,39412843,256836826,49336157,39406507,37922354,29355681,29355680,37922352,38197347,29630602,22278770,22278773,29630608,29630343,29630342,29630043,29493129,27214182,27214181,35338125,29630414,256396241,269339602,22278728,22278730,22278479,22278427,22278430,22277828,16134922,11208440,7437059,4699470,4699473,7437253,11208801,16135477,22153867,16033633,11132932,7384581,4665360,4665358,7384575,11132924,11209367,16033948,11208524,7437104,4699394,2831281,1642636,1642637,2831285,2831425,4699676,7437627,11209433,16136478,16136430,16136429,11294197,11294193,16245294,22153926,22277792,16134897,16134896,22277787,22278911,29629715,29629718,22278022,16135115,11208575,11208572,16135104,11209173,7437483,7437484,11209179,16135142,22277842,19807076,19807075,26615815,29615400,255461271,11209047,7437390,254771675,16135902,255899829,22189377,16061800,11152641,7397340,7397342,7167202,7167201,7872151,4997536,3019499,1754775,998474,998477,1754785,3019508,4997560,7105857,10755565,11788398,11788397,11789040,11150640,7395831,7395832,10755791,10755792,11152435,11152437,15552993,15552994,11201591,7432579,7432578,11201605,11789068,16856107,23115267,21576160,15552812,10756864,7106822,7106823,7106427,4474079,4473803,4473804,4673256,7105820,7105818,5082882,5082883,7105784,4473656,2687695,2687696,2687821,1556908,1556906,2687815,2815480,4673266,4672393,4474018,2687892,1556946,885138,499403,280063,280061,499410,885152,1556978,2687962,4474146,7106535,10756499,11151200,11153951,11153954,15550920,11788412,11788413,15551869,10756120,10756118,15507618,11297505,11297508,16229893,11282545,11282546,11296682,15551388,21574574,16060762,15552023,10756229,7871825,4997298,4997296,4825557,2908004,1686921,1686922,1672357,1672358,2882124,2687751,2687749,4473763,7105974,4473997,2687885,2687886,4474002,2687933,1658260,943506,943508,1658256,1658254,2857317,4741206,254778219,16249916,255910949,38352358,48263395,59650463,64266012,52410599,42066744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16203336, s2 = 1659258, dlinesl.size( ) = 2 s1 = 16203336, s2 = 1659258, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16203336, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 16242798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 657205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 657205, s2 = 11215808, int(edited[s2]) = 0 s1 = 657205, s2 = 11215808, d1 = 29, d2 = 24 Dl.O(d1) = 16781573,11733658,7833933,4972752,4972750,7833926,11733647,15401111,255031040,4421101,2652478,2652479,4421106,7028208,10644811,15401119,21384235,21913830,21914395,16451641 Dl.O(d2) = 77614262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 657205, s2 = 11215808, dlinesl.size( ) = 14 s1 = 15194828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15194828, s2 = 13290428, int(edited[s2]) = 0 s1 = 15194828, s2 = 13290428, d1 = 0, d2 = 0 Dl.O(d1) = 84571607,77235525,64091194,52243678,52243679,64091195,65126028,53140924,52243681,41906432,32967043,25245093,18674836,13282530,9066404,5928396,3706887,2220010,1287902,1287906,2220023,3706919,5928468,8736441,8736443,12847139,8736800,5687862,254625687,12847768,18117643,12847026,8736370,5687644,4952436,254553679,11705619,16751792,18215673,18215674,24681560,29451109,22117368,22117367,18765919,13362937,13362939,12847535,8736674,5687811,3538301,3538302,2106270,1212978,684345,684348,1212986,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066209,13282223,18119778,12848361,9132374,5976308,5976307,9132371,13362735,18765614,25346667,32581218,32581219,32141418,24559388,24559389,29451419,38013500,32138950,32138949,40916399,47330509,47330510,256301060,48069104,38156671,29590555,22242290,22242289,29590553,24557592,24557590,32139411,40916808,44524653,55370875,61700885,61700886,62687946,57991908,46616042,36728330,29451259,22117483,22117482,29451258,38013334,42021173,38654868,38654867,47490789,55395829,51057755,42760575,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173034,23449131,30880041,31684231,25497682,18892381,18892385,25497697,33248529,39485856,41907463,39485789,39485787,48589554,39058732,39058731,47791758,37867195,37867198,40196387,40196389,37999404,29436645,29436647,32969231,25246966,25246964,28978405,31510973,25117446,18566628,13193826,8994398,8994396,13193816,18566609,15655230,10836144,10836147,14469812,20168238,27062172,35147945,37300689,40261995,31574932,31574934,31778930,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,41304369,35147863,27062096,20168198,14469795,14469799,20168212,27062136,25246793,18676132,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,28978003,21695414,21695413,28978002,36888051,30078007,255532064,268239783,30498655,268628851,15877497,15877498,21971247,254981598,30091917,22710315,22710316,30091918,31511006,31511004,40196955,46766275,46766276,51903347,53211109,42761357,33731454,25924483,19262661,19262662,25924485,33731458,32716077,25030069,18497898,13142063,255239795,13102001,13102000,9016335,5886708,3675511,3675510,5886702,6133166,5724014,5724012,5634658,3501728,3501729,5634662,5636828,3503299,2082390,2082386,3503324,5634429,268620892,21974151,21973778,15879708,11007855,7287144,7287145,255066397,11007413,7286862,4595272,2764503,2764495,1602456,1602455,911171,911170,1602517,2764605,4595450,7287149,10636024,254731626,254499469,10636025,254969844,28604078,30017753,28788951,21524974,15512815,10728598,10728599,15512820,21524984,16605241,12869396,8751977,5698106,5698107,8751984,12869412,12353311,12353310,17518071,23861887,31355580,30017757,30017758,28788463,21524457,17987248,12748540,12748539,17987243,24386761,31919306,25111095,18561335,13189624,8991297,5870297,5870295,8991292,13189610,18561317,21524913,255842183,255738072,38590433,41726798,32806493,25104399,18555532,18555533,25104400,24595299,18148808,12869387,12869386,18148804,24595289,32182268,32182244,24595275,18148797,17748748,12558484,8514544,8514543,12558482,17748745,24107623,31609925,29538334,29538333,37325158,37325157,41734593,41734592,47233894,37325123,254503576,39770053,39770054,39770048,39770047,255738050,30017820,30017823,38590412,34994384,26912927,20028484,20028485,24812020,18322933,13006421,13006423,18322939,24812028,32447093,31578610,31578611,38590197,38590196,41726802,32806496,31874858,24350217,22645346,16454936,11465042,7625973,7625974,11465047,16454946,22645362,22645444,16454997,11465065,11465064,16454995,22645443,20028971,14345925,14345924,20028969,268546870,255322522,38590192,254969798,22645352,254685224,44373063,34994702,26913259,20028846,14345824,14345823,14345845,14345847,20028879,26913308,31895105,24366803,24366802,30017588,34994683,34994898,44373248,34995143,34995144,44373463,40604139,31895067,31895066,40604133,34995395,26913983,26913984,24366796,24366797,31895092,34994676,26913238,26913237,26913753,26913752,34995184,31895061,24366762,24366761,31895016,40604082,40961342,255322554,24595286,32182260,40961350,46974733,58343870,58343869,50333537,40307491,40307490,37091734,37091736,40579254,40579255,44373015,44372820,44372821,55223837,52091608,52091607,52090835,41777262,32857719,32857717,41629577,40579241,40579239,41778340,41778345,41778347,41778310,32857741,25150780,25150781,32857744,40604033,31894979,24366713,17970903,17970904,24366717,31894987,34995072,26913641,26913639,32857780,25150815,25150816,25150843,25150842,32857814,41778392,38590327,38590328,48505280,40307497,31619244,31619241,31619240,31619257,31874874,31874876,40579260,50623743,50623735,50623736,58626617,63909638,52090826,41777259,41777256,41629585,32723325,32723326,32857761,25150809,25150810,32857769,41778354,41778304,41778294,41778293,50840890,50654132,40604020,31894971,31894972,40604022,32723211,25036326,25036327,32723218,32723333,25150834,18593903,13213343,13213344,18593907,25150847,32857817,41778401,41629544,40307505,31619250,24114046,17753252,17753254,24114053,31619265,40307521,50333572,41778498,40579248,40579249,50623731,52090563,63742766,62424585,50843751,41372309,32523181,24879735,24879734,32523174,41372294,41776970,32856327,25149497,25149498,32856333,40734991,40869826,39319368,39319369,49246278,41629512,32723228,25036331,256575198,25150876,18593924,18593923,25150873,32857837,41776873,41776872,35323127,35323125,44749306,41776949,32856301,25149450,18592904,18592906,25149454,32856303,28949521,28949518,37492036,37492077,28949566,21669853,21669854,28949568,37492084,37890791,30324004,22923122,16688928,13212433,13212438,18592701,25149231,25149519,25149511,25149508,32856340,32856169,25149236,25149235,18594022,18592675,13212421,13212422,13213435,9007079,5879665,5879666,9007084,13213440,18592666,18592665,15895591,15895592,18593965,25150915,28495853,28495855,26900690,26900692,28495860,21278583,21278582,28495846,21669835,15633238,10818448,7149780,7149779,10818442,15633225,21669820,22923127,22923126,30324009,28949559,26900705,20018396,14337394,14337393,18593348,13212979,13212980,18593352,25150027,32856827,32856153,25149209,18592684,13212427,9006366,9006365,9007094,5879674,3670695,3670696,5879680,9007100,13213466,18594036,18593969,13213420,13213421,18593974,25149420,20018372,20018373,26900687,26900697,26900698,21278574,15316272,10578450,6978049,6978048,4502497,4502496,7149785,10818454,15633244,21669840,21669874,21669872,28949553,28949552,25149163,25149164,28949590,21669884,15633281,10818477,10818478,268139100,13212537,9006431,9006425,9006426,5879223,5879224,9006444,13212556,13213569,13213568,18592921,18592554,13212336,9006309,5879160,5879159,9006305,13212330,18592553,25149067,18592836,13212527,9006421,9006420,13212523,18592829,13212576,13212577,18592752,25149306,32856203,25149284,18592733,13212459,9006387,5879193,5879195,9006392,13212470,18592749,25149137,18592612,18592609,25149129,30434229,25149373,18592818,13212516,9006416,5879208,3670406,3670403,5879202,9006403,13212494,18592795,18592884,13212568,13212569,13212355,9006320,9006318,10976124,10976127,15839239,21925303,25149083,32856059,25149097,18592587,18592586,20181008,20181007,25149112,18592598,18592600,25149119,32856087,32856068,32856067,41776799,39319420,30721063,30721064,30721001,23303533,17042962,17042956,17042955,21925374,23303522,18777238,13372706,13372707,18777244,25359821,30721023,30721022,37809626,37809625,31619221,24114031,17753237,12561569,8516945,5515311,3402428,3402429,5515316,8516952,12561580,15839251,10976139,7264919,4581473,4581474,7264923,10976146,14479338,14479337,20181016,27077756,35165435,37809656,29245197,29245198,32361678,37809671,37809672,39319427,30721074,23303582,17043007,11956188,8003865,5095541,3092970,3092969,5095535,8003855,11956176,17042977,15839268,10976149,10976150,15839274,21925336,29245189,37809651,47731810,49246340,39319444,30721088,23303593,23303594,22734368,16528417,11519481,11519482,15839296,11519501,11519502,12931581,8797175,8797174,12931577,18231350,23303600,23303599,30115262,23822935,23822937,23822943,30115224,30115223,30115229,38691096,34569425,26582638,23303565,23303562,30721048,39319401,34569437,34569435,38691133,38691134,257556141,59865196,71954882,59216398,47817832,269333147,37895811,29327390,29327389,37895809,47817828,258106715,85430656,71845269,59106704,59106703,71845266,71418825,71418826,74933196,74933195,88575063,86200644,77392151,77392150,257755320,50907790,50907789,62508199,59216410,59216409,59865194,72603146,86200643,100162963,114193299,112905243,98917501,84992423,270816039,270816041,126757785,271353664,152799905,273137376,211480889,213784967,209292512,203815671,203815670,203815653,197255419,197255418,197255435,203815639,209292506,209292507,203815659,203815658,203815663,197255432,272729020,159190452 Dl.O(d2) = 84571607,77235525,64091194,52243678,52243679,64091195,65126028,53140924,52243681,41906432,32967043,25245093,18674836,13282530,9066404,5928396,3706887,2220010,1287902,1287906,2220023,3706919,5928468,8736441,8736443,12847139,8736800,5687862,254625687,12847768,18117643,12847026,8736370,5687644,4952436,254553679,11705619,16751792,18215673,18215674,24681560,29451109,22117368,22117367,18765919,13362937,13362939,12847535,8736674,5687811,3538301,3538302,2106270,1212978,684345,684348,1212986,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066209,13282223,18119778,12848361,9132374,5976308,5976307,9132371,13362735,18765614,25346667,32581218,32581219,32141418,24559388,24559389,29451419,38013500,32138950,32138949,40916399,47330509,47330510,256301060,48069104,38156671,29590555,22242290,22242289,29590553,24557592,24557590,32139411,40916808,44524653,55370875,61700885,61700886,62687946,57991908,46616042,36728330,29451259,22117483,22117482,29451258,38013334,42021173,38654868,38654867,47490789,55395829,51057755,42760575,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173034,23449131,30880041,31684231,25497682,18892381,18892385,25497697,33248529,39485856,41907463,39485789,39485787,48589554,39058732,39058731,47791758,37867195,37867198,40196387,40196389,37999404,29436645,29436647,32969231,25246966,25246964,28978405,31510973,25117446,18566628,13193826,8994398,8994396,13193816,18566609,15655230,10836144,10836147,14469812,20168238,27062172,35147945,37300689,40261995,31574932,31574934,31778930,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,41304369,35147863,27062096,20168198,14469795,14469799,20168212,27062136,25246793,18676132,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,28978003,21695414,21695413,28978002,36888051,30078007,255532064,268239783,30498655,268628851,15877497,15877498,21971247,254981598,30091917,22710315,22710316,30091918,31511006,31511004,40196955,46766275,46766276,51903347,53211109,42761357,33731454,25924483,19262661,19262662,25924485,33731458,32716077,25030069,18497898,13142063,255239795,13102001,13102000,9016335,5886708,3675511,3675510,5886702,6133166,5724014,5724012,5634658,3501728,3501729,5634662,5636828,3503299,2082390,2082386,3503324,5634429,268620892,21974151,21973778,15879708,11007855,7287144,7287145,255066397,11007413,7286862,4595272,2764503,2764495,1602456,1602455,911171,911170,1602517,2764605,4595450,7287149,10636024,254731626,254499469,10636025,254969844,28604078,30017753,28788951,21524974,15512815,10728598,10728599,15512820,21524984,16605241,12869396,8751977,5698106,5698107,8751984,12869412,12353311,12353310,17518071,23861887,31355580,30017757,30017758,28788463,21524457,17987248,12748540,12748539,17987243,24386761,31919306,25111095,18561335,13189624,8991297,5870297,5870295,8991292,13189610,18561317,21524913,255842183,255738072,38590433,41726798,32806493,25104399,18555532,18555533,25104400,24595299,18148808,12869387,12869386,18148804,24595289,32182268,32182244,24595275,18148797,17748748,12558484,8514544,8514543,12558482,17748745,24107623,31609925,29538334,29538333,37325158,37325157,41734593,41734592,47233894,37325123,254503576,39770053,39770054,39770048,39770047,255738050,30017820,30017823,38590412,34994384,26912927,20028484,20028485,24812020,18322933,13006421,13006423,18322939,24812028,32447093,31578610,31578611,38590197,38590196,41726802,32806496,31874858,24350217,22645346,16454936,11465042,7625973,7625974,11465047,16454946,22645362,22645444,16454997,11465065,11465064,16454995,22645443,20028971,14345925,14345924,20028969,268546870,255322522,38590192,254969798,22645352,254685224,44373063,34994702,26913259,20028846,14345824,14345823,14345845,14345847,20028879,26913308,31895105,24366803,24366802,30017588,34994683,34994898,44373248,34995143,34995144,44373463,40604139,31895067,31895066,40604133,34995395,26913983,26913984,24366796,24366797,31895092,34994676,26913238,26913237,26913753,26913752,34995184,31895061,24366762,24366761,31895016,40604082,40961342,255322554,24595286,32182260,40961350,46974733,58343870,58343869,50333537,40307491,40307490,37091734,37091736,40579254,40579255,44373015,44372820,44372821,55223837,52091608,52091607,52090835,41777262,32857719,32857717,41629577,40579241,40579239,41778340,41778345,41778347,41778310,32857741,25150780,25150781,32857744,40604033,31894979,24366713,17970903,17970904,24366717,31894987,34995072,26913641,26913639,32857780,25150815,25150816,25150843,25150842,32857814,41778392,38590327,38590328,48505280,40307497,31619244,31619241,31619240,31619257,31874874,31874876,40579260,50623743,50623735,50623736,58626617,63909638,52090826,41777259,41777256,41629585,32723325,32723326,32857761,25150809,25150810,32857769,41778354,41778304,41778294,41778293,50840890,50654132,40604020,31894971,31894972,40604022,32723211,25036326,25036327,32723218,32723333,25150834,18593903,13213343,13213344,18593907,2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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15194828, s2 = 13290428, dlinesl.size( ) = 2 s1 = 15194828, s2 = 13290428, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15194828, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 14877507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14875455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9353314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13504209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13504209, s2 = 479743, int(edited[s2]) = 0 s1 = 13504209, s2 = 479743, d1 = 1, d2 = 18 Dl.O(d1) = 120923369,106670766,92366822,92366821,106670765,120923367,120923370,106670769,106670770,118381456,118381455,105395712,91174067,77255783,64109188,52260392,52260391,259638677,91174061,259638679,119631706,114038533,100011185,86047805,72448907,257626172,38414639,38414638,48324780,59711930,72448906,86047803,100011180,110037256,95814528,81747723,68223343 Dl.O(d2) = 258558259,95814522,110037249,259509784,114038524,100011176,86047799,86047800,78540523,65250447,53260878,53260880,65250450,78540527,92587987,106906604,121172970,125523667,111716282,111716283,125523670,125523714,111716315,111716316,125523717,124168264,110037240,110037241,124168266,137812720,150761311,160345849,148103019,260916639,106906615,106906617,121172986,134981233,148103000,148103001,151559672,138856837,138856838,148103009,134981219,121172978,106906610,92587992,258448577,53260884,53260883,260916635,148103001,151559672,138856837,138856838,148103009,134981219,121172978,106906610,92587992,258448577,53260884,42807878,42807877,53260880,65250450,78540527,92587987,106906604,121172970,121172993,106906621,92587999,92588000,106906623,261481173,272886544,151559673,260675092,111716268,111716267,125523646,138856778,125523654,111716272,106906787,92588210,260322335,92587948,92587949,92588249,106906817,121173125,106906768,92588187,92588188,106906769,106906807,121173163,261050941,134981393,134981369,121173126,106906770,259706370,65250620,53261020,53261021,65250623,65250662,78540782,259077175,65250602,65250601,78540543,65250615,53261014,257831561,65250616,53261038,42807988,42807989,53261040,53261041,42807997,256164001,25965838,33775597,42807995,53261048,53260877,53260876,65250445,53260992,53260991,65250581,53260987,42807953,257239139,42807899,42807898,42807903,53260912,42807963,256163999,25965828,33775577,42807967,257831565,65250648,65250437,53260873,42807871,42807870,33775525,25965794,19299675,19299674,25965792,19299690,13798959,9462553,6204443,3883418,3883417,6204441,9462551,13798954,19299684,25965815,33775559,42807935,53260951,54638582,43895747,43895745,54638580,270110783,80323499,77927893,64736688,64736689,77927895,84112284,70576115,70576114,84112281,91852274,77927901,64736695,52820867,52820868,64736697,259051087,106050581,120256052,120256050,259785028,91852266,270801370,77927881,75447090,75447089,84112263,84112264,91852256,77927867,77927868,84112251,70576072,70576071,70576159,84112308,97986886,259267329,70576076,70576090,257405865,46519876,57875357,70576126,76609809,76609810,76609823,63530168,51751654,41481832,32603533,256606653,51751652,63530163,63530180,63530181,51751683,51751682,53344690,42880541,33837418,33837419,257160031,63530148,65569266,78904462,84112290,258807185,72976798,72976800,63530179,51751670,51751671,53344699,42880548,42880547,48847070,60240707,65346792,53344708,48847079,38926863,38926864,44868559,44868560,55796909,68223549,256746888,86574041,258183857,48847075,38926862,30340558,30340559,38926860,38926848,38926849,48847064,60240703,72976796,78904437,68223480,55796832,44868464,35430561,35430563,41481843,51751669,55796829,44868558,35430635,27298886,27298885,35430632,38926854,38926853,39497060,35431846,35431845,40325291,31635893,24128803,17765538,17765540,20360405,14614398,10055668,6607111,6607110,10055665,10055861,10055860,14614691,14572247,14572246,15219168,10498121,6922539,4348965,4348966,4826199,4826202,7628025,8462479,12494052,17668442,17668303,12493953,12493951,17668300,24016815,17669838,17669840,24018590,24017007,24017008,31518505,24026085,24026086,28052416,20883587,17668278,12493927,12493928,17668280,24016790,24018503,24016456,17668050,17668053,24016469,31517973,31516731,31516732,31518159,31518161,30367162,22965576,22965574,30367157,24016821,24016822,31517888,31527684,31527686,31521698,31521699,40207549,38596575,30024216,30024217,24025668,17675311,12499291,8466837,5472644,3367365,1981207,1981206,3367356,5472628,8466818,12499220,12499221,17517941,17517940,17668134,12493834,8462327,5468072,3362705,1977146,1977147,3362711,5468087,8462352,12493892,17668243,24016752,31516818,24015500,24015499,24015518,24015516,24018369,30367152,30367151,24016386,24016377,17668011,17668010,23556602,31038678,31516751,24016857,24016855,24016652,17668177,17668174,24016645,31518204,24025626,17675270,12499263,12499264,12499207,12499206,12498287,12498288,12498502,17674286,17675793,17669740,12495149,267846290,17675790,254273892,5473025,5473024,8467149,10746939,15539337,16346306,11374046,7556275,7556276,7556313,4778170,4778171,4778718,7557217,10752257,15546531,15544521,10750688,7102721,4779167,2880121,2878985,1670829,254125143,300638,166522,166521,300636,536125,950648,1670816,2878953,4776872,267905946,10752500,12170791,12193752,8224137,8224135,9966022,6549962,4103374,4103375,6549966,9966036,12138678,17258549,20125053,17514498,17514499,23857643,27087001,20188972,17255471,17255472,17182159,12212683,8243288,8243289,12212686,12168647,12168648,12135403,12135404,17255319,17278284,12157862,8188472,8188471,12157860,17278278,16330060,11361251,11361253,16330076,16339730,17265478,23358252,22527408,22527409,17337001,12211105,12211104,17336998,22928919,16694581,11655595,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226192,8226097,5296646,3247562,3247561,3143685,1838710,1838709,3143680,5160427,8066611,12009336,17096047,23365146,23642486,22493621,22493619,25152047,23613331,23613330,29858098,29859281,22495679,16321839,11355325,11355323,16321834,11359275,7546930,7546928,11359267,16327534,22494539,16333769,254393676,17238380,15923933,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,5222605,4325846,2587998,2587997,4325844,4859898,2928639,1698774,965904,965903,1698768,2928624,4859859,7680655,11544738,16562301,16684159,16684160,22917831,16684165,11646009,11646008,7758712,7758713,11646013,16684170,22476434,29842716,22476692,16306209,11345432,254180040,4769188,7539263,11345429,268083752,22476389,29843312,38414188,29856332,22491753,22491754,29856334,37017120,29843647,23007436,16767794,11721010,7825052,4966583,4966582,7550696,7550693,11365172,11365305,11050779,11050780,15920761,22021907,29353183,30374627,29867990,22508414,22508413,17513429,14935482,10271723,10271725,14935442,14935507,20833949,22024527,29354625,29345211,23886298,17539802,17539801,16357823,16357824,268407331,16325939,11358093,7546225,4772698,4772699,7546261,8343875,5385490,4613965,4613961,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877365,4773775,7548260,11361384,16330255,11383792,7563116,4782270,4782267,4782580,2881920,1672254,1672253,254132416,1671971,2881367,4781532,7546543,7546545,11358622,12161564,12161565,16333296,11363916,7549900,4774609,2877987,1670324,950397,950399,1670307,2877953,4774932,4781804,2881531,2881530,4781444,7561691,11381538,16355029,12171830,11035527,7310139,4613874,4613876,5257816,5257818,8188257,5270270,5270273,8186349,5270375,5270376,8171098,5240189,5240188,8171091,11381655,7561764,7561767,4781507,3200189,3200185,5241308,8172180,11405334,11405333,12214879,8245324,8245325,12214880,17300257,17300258,17256573,17256574,12201419,11363328,7549542,7549540,11363321,12838999,12839000,16332983,22506808,16335910,11366039,11366038,12143398,8172903,5242115,5242116,8172909,12143415,12203334,12212125,17289574,12168602,8200470,8200469,12168594,12178094,16329110,16788159,17320468,16788134,16788135,254124700,22504922,16330929,16330930,22504924,254265020,29865817,29867801,29867802,29860074,29860075,36807779,28310976,21100860,21100859,21616128,28313064,21102669,21102668,16335038,16335037,22508328,22499454,16325225,11357563,11357565,14570612,14570611,254839378,11355662,16322364,11365958,7551188,4775391,4772478,2876727,2876728,4772464,254535601,11054632,7329991,7329992,11054635,11977703,11977704,254274086,30756484,24020607,24020608,31519510,31519499,24017931,24017932,31519500,30024096,22651303,16459913,11468754,254187766,17420621,17669894,12495242,12495244,17669901,254408898,31519515,31519514,31525451,31525452,40211398,42506469,33507530,25729054,267846188,9336338,9336339,13634594,19097264,25729057,31520091,31520090,24024372,254273960,11468808,7628737,7628736,11468930,16460161,12496184,8464418,5470285,3364951,3364950,5470280,5473067,8467193,12499718,17675840,24020233,22651558,22651559,24018550,24018551,24018412,17669684,17669687,12495227,12495226,17669564,12495013,8463810,5469593,3364192,3364194,5469598,8463820,12495523,17670291,24019173,31520547,24026061,24026062,254187716,24026851,24026850,31517899,31520545,31528401,30024288,30024287,31528434,24026904,24026905,24026226,17675767,12499652,12499653,12499601,12499600,17675346,17674156,12498417,8466160 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16090334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086485, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15172715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6519827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9818239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2516198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8011772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13320225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13320225, s2 = 1163552, int(edited[s2]) = 0 s1 = 13320225, s2 = 1163552, d1 = 31, d2 = 57 Dl.O(d1) = 254770131,7422157 Dl.O(d2) = 29659319,256940749,36518062,36518034,36518033,36517941,28053338,28053337,36517939,38222694,29656699,22304879,16158892,16158891,22304874,29656692,38222681,48132650,59519852,72253787,72253782,59519846,59519847,57727510,57727511,70422415,83949100,83949096,259252575,86837502,73224850,60478225,49075028,43851908,43851905,43851904,54596332,47760336,37837830,37837828,46377136,46377137,38208711,38208710,46377279,36518080,28053438,20884375,14981642,10313609,6784159,4252883,4252881,6784156,10313601,14981624,20884343,28053392,36518012,29656725,29656724,32182485,32182489,24595484,24595482,32182487,257717293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13320225, s2 = 1163552, dlinesl.size( ) = 14 s1 = 301658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 301658, s2 = 13400224, int(edited[s2]) = 0 s1 = 301658, s2 = 13400224, d1 = 1, d2 = 2 Dl.O(d1) = 11264522,7478014,4726098,2847562,1652187,939723,529817,529814,939712,1652158,2847502,4725989,7477824,11264195,11264291,16204008,11301539,11301538,11158033,11158034,7704813,7704817,11575410,15389873,11302008,11302009,16256071 Dl.O(d2) = 29786073,23286382,17027278,11942347,7993183,7993186,11942351,16203756,11731311,11264113,8305895,8305894,12298032,17446440,22354503,19086794,16778099,11730895,7831852,254807763,16778101,23018510,28811788,22207426,16076764,16076765,22207428,29552148,256931751,59422392,49081868,39151699,30553729,30553728,39151698,30553731,23135726,16875297,255518353,16133070,16133071,22275749,29627449,38194404,43933856,37748823,29187712,29187713,37748827,39136556,30537579,256463833,37485229,29050695,29050696,256895167,33407453,33407454,26667928,19852005,19852006,26667930,34660242,43933859,43138400,43138399,257008209,39136387,34061578,34061579,34061575,30537679,23118794,23118793,25640844,25640843,30537503,30537501,30537582,30537580,39136557,30553721,23135718,16875293,16875294,255963735,39151690,49081862,49081863,49066799,49066800,256466904,23135719,23135720,22347788,16197791,255466763,23118803,16859178,16859177,23118799,30537688,29050692,29050691,30537601,23118731,23118732,30537428,23118598,23118597,30537425,39136391,49066699,49066702,39136672,30537702,255520372,48332323,53640836,53640837,60485389,49081843,48178731,38269347,257524299,49112556,49066801,39136484,30537494,30537493,39136483,39136582,30537611,30537612,39136584,255135580,16859184,11791625,11791626,16859186,23118819,30537706,39136676,39136397,30537432,23118600,23118599,29702058,29702057,23118723,23118722,30537583,38268201,48177729,49066705,269366533,39136587,30537617,30537616,30537402,23118576,23118577,30537404,39136369,30537614,23118737,16859150,11791608,11791607,255517445,255520376,49066888,49066884,39136579,39136374,39136373,49066692,60470180,73216908,60470334,49066894,39136590,30537621,23118739,23118740,30537408,39136375,48719324,38798166,30214034,30214035,38615389,30041489,22666238,22666240,17175836,17175835,255571340,34597959,26610861,26610862,19802986,19802984,26264580,21543226,15526469,15526468,21543222,28811048,22642250,16452498,16452497,22642247,30014070,255533872,43219447,34131519,34131518,34131558,34131557,34131464,26264987,19544841,13995354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 301658, s2 = 13400224, dlinesl.size( ) = 2 s1 = 301658, s2 = 13400224, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 301658, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 8016984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8092570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13163843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1555200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14036190, s2 = 8087443, int(edited[s2]) = 0 s1 = 14036190, s2 = 8087443, d1 = 5, d2 = 8 Dl.O(d1) = 1914893,3259291,4962643,2997130,2996059,1739927,988759,988760,1739929,1656377,942460,942459,1656372,989468,989469,1741248,254370695,7492988,5281677,3235003,3235002,5281675,7570732,11394506,8231361,5303126,3253912,3253913,5303129,8231364,5462798,3358931,3358932,5462800,5268596,5268594,5301498,5301499,5303827,3254609,1911665,1091736,612940,612942,1091741,1911675,2995746,1739723,1739722 Dl.O(d2) = 314952,314954,562398,998477,1754785,3019508,4997560,7105857,10755565,11788398,11788397,11789040,11150640,7395831,7395832,10755791,10755792,11152435,11152437,15552993,15552994,11201591,7432574,7432573,10755994,15551687,15551984,15552205,10756346,7106420,4474076,4473803,4473804,4673256,7105820,7105818,5082882,5082883,7105784,4473656,2687695,2687696,2687821,1556908,1556906,2687815,2815480,4673266,4672393,4474018,2687892,1556946,885138,499403,280063,280061,499410,885152,1556978,2687962,4474146,7106535,10756499,11151200,11153951,11153954,15550920,11788412,11788413,15551869,10756120,10756118,15507618,11297505,11297508,16229893,11282545,11282546,11296682,15551388,21574574,16060762,15552023,10756229,7871825,4997298,4997296,4825557,2908004,1686921,1686922,1672357,1672358,2882124,2687751,2687749,4473763,7105974,4473997,2687885,2687886,4474002,2687933,1658260,943506,532105,298402,298398,532093,943488,1658225,2857258,4741113,7500402,255092539,17493995,22413915,16420149,12334795,8332837,8332836,12334793,17493976,12334791,8332835,5378143,5378142,8332833,12334786,17493990,23481102,23481103,30918148,31323157,31220031,31220032,31220035,31220036,39896853,257600734,48389036,38486140,31323142,23832648,23832649,31323144,40000986,40000989,31323147,31323148,40000991,49163592,44486237,39528504,39528503,49462031,49916608,49916609,61396763,59771929,59771928,60563341,49163608,49163607,49163601,39236831,257015605,60563331,64234724,52379308,52379307,60563335,49163595,49163596,49163610,39236838,255969753,255969755,39236840,47760800,59159417,47760799,39236812,39236811,46743286,58113116,70828115,268923628,60563303,49163585,39236823,39236825,257596115,73306853,71897370,59159468,59159467,60563278,268970275,39236803,257596113,49163560,39236807,30638779,30638780,36547334,36547335,46408934,57759706,70454714,259255861,73080189,73080190,73306823,73306822,85938481,97844377,86917236,73306844,73306843,86684335,73080188,73080186,85554871,85554870,71967493,71967492,61497995,59229679,59229678,70750386,58036144,46663525,46663524,48223538,38313609,29744882,22385671,22385672,29744884,37910267,29341258,29341259,37910270,47831973,59229696,71967491,59229688,47831963,40201649,40201651,50223979,58271055,58271056,70750388,58036146,46663527,256295483,28282182,31515204,24014403,21077107,21077106,28282179,36778250,42279336,52666716,52666728,43220205,34132282,26265720,19545413,13995789,13995790,13027347,8870799,5783590,5783589 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7938286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10148660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1914252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1914252, s2 = 709384, int(edited[s2]) = 0 s1 = 1914252, s2 = 709384, d1 = 14, d2 = 70 Dl.O(d1) = 49369305,39440804,30837008,23408007,17133632 Dl.O(d2) = 18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,3529496,5674654,8717779,7186307,4527354,4527355,7186309,10869077,15700936,21754957,256895059 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14847305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13381351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8133108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8133108, s2 = 10340246, int(edited[s2]) = 0 s1 = 8133108, s2 = 10340246, d1 = 41, d2 = 41 Dl.O(d1) = 7254977,10960588,8204330,8204329,12172151,12143517,12143516,10960591,7326407,4627237,2787115,2787116,4627239,7326410,11051009,15927730,17254600,12134801,267905633,5234657,4612172,2777045,1611002,254233347,4329965,2590427,2590426,3253527,3253528,3220221,1887123,1076694,1076691,1087491,919132,518349,290737,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609849,1072857,602789,602786,338584,338585,335792,335794,603013,1073247,1073268,603020,335797,335798,603022,1073272,1881315,3211947,3235567,3235565,5282369,5282848,5282590,5255608,5255607,5283649,5257935,5245495,254579561,11030860,7305553,7305554,7827108,8180845,5250413,3207808,1878619,1878620,3207810,5250416,5016856,3034856,1766367,1006499,1006500,1766370,3034858,5016862,254761117,8229246,8229247,12193425,8223754,5294026,4617863,4617862,5304832,7895916,7895915,8213756,8213755,11039170,7313584,7313586,255069065,12120430,15920449,12230336,12230335,17234862,12116875,11049825,11049826,11719608,15907389,15907388,12117682,12117683,16769017,12137538,12137539,8191020,5260285,5260286,8191022,8180632,5250200,5250199,8180630,8198799,7311764,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,1926446,1926448,3275219,5328192,5328191,5241723,3200526,1873801,1068872,1068870,1873791,3200509,5236842,8167126,7490719,7490718,8258140,5327649,5327648,8258135,11039361,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8311065,10584663,12162570,12162569,17271434,16004864,16004866,17305295,17305296,12231203,12231204,17360820,12231385,8259079,8227261,5297937,3248807,1907307,1907308,3248812,3237670,3237671,5285218,5328269,254394481,3237674,3359781,5463814,5268367,3223059,1889216,1078051,605500,605502,1078059,1889243,1911990,3255028,3264869,3264872,5315618,7493211,4736486,2854456,1899317,1899319,3217344,3217343,3237878,1899559,1084252,608944,338838,186077,101752,101753,186083,338862,608991,1084332,1899680,1090573,615220,342023,342020,615216,1095894,1918514,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889254,1889255,3219460,3219459,3219764,3219766,5264701,3238111,1899693,1895472,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,1075650,1075647,1093839,614087,614089,1093857,1915307,3259816,3260581,3218081,3218080,254554375,4964010,3234772,3234771,1912001,1912002,3255041,5244992,5244993,8175427,5319913,3268797,3268796,5277248,3231056,3231055,5277246,5272692,3227040,1892030,1892031,3227042,5272696,3250519,1908643,1089824,254105081,340351,186828,186824,340367,611950,988943,556365,311133,172000,94622,94623,172009,311155,556401,989020,1740437,2993267,4957870,5261635,3220894,1920772,1097243,1097240,1920759,1900629,1084907,1084905,1900663,1916026,3230388,1894460,1082327,607877,607878,1082331,1896283,3232961,5240258,5240257,5262977,5203281,3174594,1885198,1075532,1075531,1885193,3217551,3204457,3204458,3266085,1919833,1919834,3266100,3045910,2774073,2774072,4608189,7303738,5025845,5025847,7906641,7325666,4626445,4626446,7325670,11050433,12155634,8185977,5255364,3211663,3211664,1915286,1915284,3259781,5309674,5281832,5031967,3046153,1774110,1774112,3046165,3263145,3263146,2781778,2781777,4613272,4613271,4613279,4613280,2782007,2782011,4605241,3174438,1858326,1858325,3174433,4610183,3204540,1876480,1876481,3204546,5245630,3204034,3204037,5245638,4611608,2776598,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784423,4623817,5252516,3209599,3209600,4623069,2783869,2783868,4623065,7321867,7321613,267828733,1614688,918386,918387,1614693,2783751,4622874,7321624,254832488,267992681,7824608,4966263,2999531,254370837,3212300,2784855,1615331,1613624,917870,517752,517751,917867,1613621,1063450,597773,597771,1063448,1864029,3185212,3185095,3185097,5221317,5252506,3209592,2781490,1613443,917776,917773,1613435,2781476,4619320,7317334,11042778,7822661,7822660,7313057,7313058,11038609,11044877,12210377,17336158,15918888,15918887,11721854,267898231,4966126,7824422,11030821,11049962,11049961,12146389,11044734,7319624,7319623,254760671,7318703,8187165,11045146,15922092,22023079,17235851,17235852,12121587,8153593,8153592,10799798,10799799,8152273,8152272,11720657,7822796,4964715,4611284,4611286,3184062,3184065,3184276,5219647,5219646,8147453,5219604,3184130,1864972,1864973,3000147,1742304,989978,556839,556838,989974,1742289,3000115,4967233,7825938,5222441,3185850,3185849,5222437,5220643,3184691,3184692,1899603,1899599,3237932,5285633,4615977,4615978,3197093,1871476,1871478,3197105,4620570,4620571,7135700,7135703,8210427,8241312,7307061,4611331,2776443,1610622,1610625,916365,916366,1610643,2776475,3446128,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492586,4492584,7135845,254781712,3329244,1958013,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,1741128,1741125,2997909,4963686,7492763,7492761,7492754,7492753,7402206,4676255,2817164,2817163,4676252,7402202,11111338,255449865,17297375,12485593,12484435,8455397,5462798,3358931,3358932,5462800,5268596,5268594,5301498,5301499,5303827,3254609,1911665,1091736,612940,612942,1091741,1911675,2995746,1739723,1739722,2995742,2997100,1740627,989337,989335,1741029,1900939,1085084,609386,609389,1085093,1900916,3239933,5281380,4733248,4733249,3257533,2761482,2761483,3223765,3223763,5269048,5289168,3240752,1901491,1889679,1634298,1634299,1090784,1090781,1910204,3200089,3203866,1876097,1874031,1069038,600806,600807,1069042,1874038,3200888,3257989,1913960,1913958,1897614,1897615,3234834,3245985,3245986,5236449,5236450,3199630,3196590,3196589,1919584,1096532,1096529,988594,988592,1739610,2995554,3238028,5285757,8209908,8153363,8153362,5280666,3244632,1904347,1904348,1910504,1090973,627353,348524,348525,627358,1118154,1957511,3267496,1920861,1097296,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097475,1921134,3267881,5319081,8187109,5256595,5256594,3249877,3249876,1922832,1922831,3270007,5321182,8249223,7325759,4626537,3224089,3224091,4629049,4629050,5251642,5251640,7326709,4627604,4627603,7326707,11051247,12144601,8174331,5243887,3202488,1875154,254262111,3236438,2775242,1609875,915938,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533183,945373,601780,335148,335150,184310,184307,335161,601803,1070982,1877286,3205740,267791070,254125134,8181928,12151568,11317452,7514675,4750484,4750483,254779737,256410853 Dl.O(d2) = 7254977,10960588,8204330,8204329,12172151,12143517,12143516,10960591,7326407,4627237,2787115,2787116,4627239,7326410,11051009,15927730,17254600,12134801,267905633,5234657,4612172,2777045,1611002,254233347,4329965,2590427,2590426,3253527,3253528,3220221,1887123,1076694,1076691,1087491,919132,518349,290737,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609849,1072857,602789,602786,338584,338585,335792,335794,603013,1073247,1073268,603020,335797,335798,603022,1073272,1881315,3211947,3235567,3235565,5282369,5282848,5282590,5255608,5255607,5283649,5257935,5245495,254579561,11030860,7305553,7305554,7827108,8180845,5250413,3207808,1878619,1878620,3207810,5250416,5016856,3034856,1766367,1006499,1006500,1766370,3034858,5016862,254761117,8229246,8229247,12193425,8223754,5294026,4617863,4617862,5304832,7895916,7895915,8213756,8213755,11039170,7313584,7313586,255069065,12120430,15920449,12230336,12230335,17234862,12116875,11049825,11049826,11719608,15907389,15907388,12117682,12117683,16769017,12137538,12137539,8191020,5260285,5260286,8191022,8180632,5250200,5250199,8180630,8198799,7311764,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,1926446,1926448,3275219,5328192,5328191,5241723,3200526,1873801,1068872,1068870,1873791,3200509,5236842,8167126,7490719,7490718,8258140,5327649,5327648,8258135,11039361,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8311065,10584663,12162570,12162569,17271434,16004864,16004866,17305295,17305296,12231203,12231204,17360820,12231385,8259079,8227261,5297937,3248807,1907307,1907308,3248812,3237670,3237671,5285218,5328269,254394481,3237674,3359781,5463814,5268367,3223059,1889216,1078051,605500,605502,1078059,1889243,1911990,3255028,3264869,3264872,5315618,7493211,4736486,2854456,1899317,1899319,3217344,3217343,3237878,1899559,1084252,608944,338838,186077,101752,101753,186083,338862,608991,1084332,1899680,1090573,615220,342023,342020,615216,1095894,1918514,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889254,1889255,3219460,3219459,3219764,3219766,5264701,3238111,1899693,1895472,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,1075650,1075647,1093839,614087,614089,1093857,1915307,3259816,3260581,3218081,3218080,254554375,4964010,3234772,3234771,1912001,1912002,3255041,5244992,5244993,8175427,5319913,3268797,3268796,5277248,3231056,3231055,5277246,5272692,3227040,1892030,1892031,3227042,5272696,3250519,1908643,1089824,254105081,340351,186828,186824,340367,611950,988943,556365,311133,172000,94622,94623,172009,311155,556401,989020,1740437,2993267,4957870,5261635,3220894,1920772,1097243,1097240,1920759,1900629,1084907,1084905,1900663,1916026,3230388,1894460,1082327,607877,607878,1082331,1896283,3232961,5240258,5240257,5262977,5203281,3174594,1885198,1075532,1075531,1885193,3217551,3204457,3204458,3266085,1919833,1919834,3266100,3045910,2774073,2774072,4608189,7303738,5025845,5025847,7906641,7325666,4626445,4626446,7325670,11050433,12155634,8185977,5255364,3211663,3211664,1915286,1915284,3259781,5309674,5281832,5031967,3046153,1774110,1774112,3046165,3263145,3263146,2781778,2781777,4613272,4613271,4613279,4613280,2782007,2782011,4605241,3174438,1858326,1858325,3174433,4610183,3204540,1876480,1876481,3204546,5245630,3204034,3204037,5245638,4611608,2776598,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784423,4623817,5252516,3209599,3209600,4623069,2783869,2783868,4623065,7321867,7321613,267828733,1614688,918386,918387,1614693,2783751,4622874,7321624,254832488,267992681,7824608,4966263,2999531,254370837,3212300,2784855,1615331,1613624,917870,517752,517751,917867,1613621,1063450,597773,597771,1063448,1864029,3185212,3185095,3185097,5221317,5252506,3209592,2781490,1613443,917776,917773,1613435,2781476,4619320,7317334,11042778,7822661,7822660,7313057,7313058,11038609,11044877,12210377,17336158,15918888,15918887,11721854,267898231,4966126,7824422,11030821,11049962,11049961,12146389,11044734,7319624,7319623,254760671,7318703,8187165,11045146,15922092,22023079,17235851,17235852,12121587,8153593,8153592,10799798,10799799,8152273,8152272,11720657,7822796,4964715,4611284,4611286,3184062,3184065,3184276,5219647,5219646,8147453,5219604,3184130,1864972,1864973,3000147,1742304,989978,556839,556838,989974,1742289,3000115,4967233,7825938,5222441,3185850,3185849,5222437,5220643,3184691,3184692,1899603,1899599,3237932,5285633,4615977,4615978,3197093,1871476,1871478,3197105,4620570,4620571,7135700,7135703,8210427,8241312,7307061,4611331,2776443,1610622,1610625,916365,916366,1610643,2776475,3446128,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492586,4492584,7135845,254781712,3329244,1958013,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,1741128,1741125,2997909,4963686,7492763,7492761,7492754,7492753,7402206,4676255,2817164,2817163,4676252,7402202,11111338,255449865,17297375,12485593,12484435,8455397,5462798,3358931,3358932,5462800,5268596,5268594,5301498,5301499,5303827,3254609,1911665,1091736,612940,612942,1091741,1911675,2995746,1739723,1739722,2995742,2997100,1740627,989337,989335,1741029,1900939,1085084,609386,609389,1085093,1900916,3239933,5281380,4733248,4733249,3257533,2761482,2761483,3223765,3223763,5269048,5289168,3240752,1901491,1889679,1634298,1634299,1090784,1090781,1910204,3200089,3203866,1876097,1874031,1069038,600806,600807,1069042,1874038,3200888,3257989,1913960,1913958,1897614,1897615,3234834,3245985,3245986,5236449,5236450,3199630,3196590,3196589,1919584,1096532,1096529,988594,988592,1739610,2995554,3238028,5285757,8209908,8153363,8153362,5280666,3244632,1904347,1904348,1910504,1090973,627353,348524,348525,627358,1118154,1957511,3267496,1920861,1097296,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097475,1921134,3267881,5319081,8187109,5256595,5256594,3249877,3249876,1922832,1922831,3270007,5321182,8249223,7325759,4626537,3224089,3224091,4629049,4629050,5251642,5251640,7326709,4627604,4627603,7326707,11051247,12144601,8174331,5243887,3202488,1875154,254262111,3236438,2775242,1609875,915938,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533183,945373,601780,335148,335150,184310,184307,335161,601803,1070982,1877286,3205740,267791070,254125134,8181928,12151568,11317452,7514675,4750484,4750483,254779737,256410853 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 752430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13339389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 204230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16078201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16078201, s2 = 7813120, int(edited[s2]) = 0 s1 = 16078201, s2 = 7813120, d1 = 22, d2 = 20 Dl.O(d1) = 234052889,232918643,231666285,230273175,228705996,263628902,224881951,222528352,219787956,216541123,212625581,207833350,202019045,195106083 Dl.O(d2) = 31276891,254595326,51756618,41486384,41486383,37408595,28867453,21592855,15566383,10766917,10766916,15566381,15306318,254727491,1513912,858125,484417,272509,272510,484429,857153,484014,484012,857143,1511679,2618307,4370397,3169081,3169080,4373683,4373682,2673907,2673909,2621993,1513406,1513403,2621981,4377599,6968014,6954601,6954600,9252204,9252196,267881521,2619816,1512414,857483,857482,1512411,1513135,857803,857804,1513139,2621417,4376530,6966216,6966831,6964262,4375332,2620836,1512893,857706,857707,1512894,2620840,4375339,6964273,10558648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16078201, s2 = 7813120, dlinesl.size( ) = 2 s1 = 16078201, s2 = 7813120, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16078201, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 7907571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14076331, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8024292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2565301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2565301, s2 = 1503954, int(edited[s2]) = 0 s1 = 2565301, s2 = 1503954, d1 = 14, d2 = 19 Dl.O(d1) = 72588446,74364979,61588568,50108619 Dl.O(d2) = 12023174,8083263,5179184,3160102,3160101,5179183,8083262,10033485,14581489,20316305,14579927,14579928,20316308,27248557,30648716,38376843,38796609,30212411,30212410,38796606,48717743,60112420,72848876,258510896,99966889,256729904,38377802,38874257,38874258,35377091,27252374,22889113,22306471,22306470,29658507,38224650,44802540,44802539,38376138,38376139,38376135,29804270,29804271,31228411,23744644,23744643,31228407,268539824,30885159,39491452,35379166,35379165,256203698,51068028,270970015,260026188,113012567,99024775,85100218,71528958,58799982,47413089,37505466,37505467,47413092,58799986,71528945,71528947,58800019,58799988,58799987,71528962,71528988,79296940,65934316,60873414,49469763,39535583,30924474,254901498,32296503,33354428,25594132,25594133,33354430,31559799,31559800,26366729,26366728,255540032,29582469,22234825,22234824,24685374,32296513,41107155,47260584,37351098,28812539,28636470,21396550,21396547,24944043,256326286,30385853,257148916,7910314,7910313,11836157,16912571,23177154,257863423,48147613,38238146,29672919,29672918,38238145,48147610,59534604,48697385,38775119,30191401,22801376,254795616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2565301, s2 = 1503954, dlinesl.size( ) = 2 s1 = 2565301, s2 = 1503954, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2565301, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 13528347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8008260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1467556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 692902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9802289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6839093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10991288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7928202, s2 = 9800702, int(edited[s2]) = 0 s1 = 7928202, s2 = 9800702, d1 = 36, d2 = 41 Dl.O(d1) = 53330578,65328132,53884280,53884281,65951191,256515856,86969155,73357934,73357935,254591548,39958080,39958079,43293410,34195794,26323209,19596749,19596748,25887926,19228056,13825185,9481622,9481623,13825187,254667629,3891402,2329903,1350378,770365,254094615,136510,247099,437753,770358,1350368,2329882,3891360,4027219,6419340,9763396,14202658,19826605,26334666,26097406,26041268,25991987,24200820,17831564,17831565,19229124,13736947,13736946,14202304,19826311,19454616,19454615,19669811,14100177,255056274,254749780,13720437,9697888,9697887,14099825,13786741,9553548,6268657,6268656,9553546,13918984,19352491,19352490,26029716,33850750,40485983,31790865,25426841,20857955,14956690,10290005,10290004,14956687,20857948,19251234,13817652,13817651,19323434,19421568,19421569,25896993,19236742,13797392,13797391,19210091,19517077,13970810,13970811,19517079,22219410,22219411,29565080,33694398,255200282,22569593,29929919,33862415,26638318,26638317,26228660,26228659,33631913,25963689,19361969,19361970,26040455,25977955,19310292,19310291,24282193,256026908,255056114,19362143,19362144,16553699,16389028,11406708,11406707,9174560,6004870,6004868,9174552,13418462,18833388,15752961,15752963,17450269,17450270,13735421,11147214,254614228,22180518,16054293,16054294,22180521,22569902,19229714,13737478,9411335,6166110,6166112,9411337,267746018,7712450,11586732,14347942,12359110,12359115,17524874,17450181,17449728,17449727,23779756,28753284,31661588,28753278,28753279,31691586,31252148,31252146,24068473,24068472,24206655,31198986,23710563,254610914,39879793,254848450,25887890,25887891,19228025,19228024,25887893,33694450,255584236,40290038,254413550,17746215,12556628,8513252,5511992,5511993,5527294,3413296,3413297,5511988,5511989,8513244,12556611,12575944,8529288,8529286,8512294,8511660,5511174,5511055,5511054,5527271,3413283,2014486,2014485,3413281,5527269,8529262,12575910,17770751,24134477,31578625,30237608,22844351,22844350,19701053,14125852,11587273,11587274,9718256,9718258,14125801,19700985,254188422,31646021,254089954,20015308,20015307,17738925,12551316,12551314,8863040,5777333,3599730,3599729,5777328,8863029,13017321,18337543,24203940,22796949,254174152,25889616,31604773,24154921,17787777,12589743,12589744,17787779,24154928,23710659,23710660,31199057,39164872,30567198,30567197,23710634,17387094,12252330,8274823,5339241,3281886,3281891,5339256,8274918,12252499,17387300,23710824,31199186,28752732,21493138,17742113,17742112,21492824,15486895,254590660,16892593,23153817,30571455,24103620,24103621,17784923,12587523,12587524,17784925,23780555,24103692,17745164,12555847,12555846,17745162,17374739,12242787,12242786,17374738,23696867,25889492,25889490,25889495,24194122,17824868,17824867,24194120,31252014,31199026,23710622,17387084,17387082,23710618,30753860,23682408,23377936,17450597,17450596,23780285,31265273,254813048,23712318,17388720,12589284,8541121,8541122,12589288,17787167,24134079,21559642,21559643,28830426,23811807,17477942,12322780 Dl.O(d2) = 24180923,24180926,25889740,33695749,40287903,31603215,31603214,36703063,267802148,24133649,17769903,17769904,12628463,12628464,17834055,22182961,16056258,16056257,22182958,20014729,20014727,22182965,23291143,17031396,17031398,23291146,24087279,24087278,31590952,28212115,21018727,15096213,10411648,10411647,12300808,12300810,17449895,16054462,11147320,7393661,7393660,8575558,8575557,8575043,8575042,12629708,17361573,17361574,23681797,23682699,17709411,17709412,17812669,17743256,17743254,17704501,12522907,8484762,5485450,5485449,8484756,12522895,12237131,12237128,11739197,11739196,16789046,23031916,30438650,39028090,31714035,24206409,24206410,17836605,12630544,12630545,17836607,23767759,17439768,12293329,12293328,254414766,13496275,9233481,6047151,6047149,9233478,8275192,8275190,12252879,17387772,17743361,12554525,8511986,8511989,12553030,8511074,8511075,8511091,8511094,8302911,8302916,11147459,7393734,7393735,8302818,8302977,12293456,13737567,17902025,16176975,11560646,11560647,16580465,17450609,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500870,23841340,28753011,21493476,15487423,10709796,7075396,7075395,10709792,267802166,15185238,254137272,6392836,4011886,4011887,6392837,9717653,14124899,19699886,17731470,12544837,12544836,17731468,24088912,31592248,33693629,25886765,19226741,13734868,13734869,17387119,12252357,12252358,9409487,9409488,267829640,20014701,14334415,9847280,9847279,14334410,10420441,6869517,6869515,4311576,4311574,6869578,10420538,12564758,17756813,17740869,17740866,17775831,16612154,11586821,11586820,12588662,12580244,8533198,8533201,8552056,12602324,17802834,24099992,23767985,23767984,24194119,24194120,31252014,24154596,22796994,16580162,16580163,17834063,17834059,24203757,254413732,13486838,18918162,17751043,12559790,12559789,17751045,23149465,16888764,16888763,21135231,15185484,10474637,6906468,254797370,11817927,16889137,17730239,17730240,21493620,254190166,31604773,24154921,17787777,12589743,12589744,17787779,24154928,23710659,23710660,31199057,39164872,30567198,30567197,31035379,23553664,21493591,21493590,17439655,17439654,22180899,16054624,11147446,7393729,4671050,4671051,7393731,11147451,16054637,22180916,29523411,25544509,18931512,13496278,9233481,6047151,6047149,9233478,8275192,8275190,12252879,17387772,17743361,12554525,8511986,8511989,12553030,8511074,8511075,8511091,8511094,12293359,17439817,17439830,17439999,17440000,17450634,17450635,19228608,19228609,17450297,17450296,23780299,21566397,16890111,11818945,11818946,16890114,17801277,23767933,23767934,24154929,17787780,17787779,24154928,23710659,23710660,31199057,39164872,30567198,30567197,31035379,23553664,21493591,21493590,23767646,23553659,23553660,254608830,24154627,30186581,22796995,16580162,12628465,12628466,254614202,31661183,254419348,14124899,19699887,26439331,30753860,23682408,23377936,17450597,17450596,17450280,12301064,12301065,12301040,12301039,12627538,12627537,17833013,24202556,25888519,23031825,23031826,30438590,25544510,25544507,28752819,21493254,15487221,10709634,10709636,10709611,10420541,10420538,12564758,17756813,17740869,17740866,17775831,16612154,11586821,11586820,12588662,12580244,8533198,8533201,8552059,12602332,17387811,12252904,12252905,8509834,8509832,12550911,13202485,13202483,12543542,12543540,9847678,6467911,4052648,4052647,6467906,9847665,14335000,20015365,26897066,254279412,31711678,31711679,31711680,24203937,254414288,16055480,11147987,11147990,16055484,22181882,23682472,17362164,12232204,8259656,8259658,12232211,17362172,21493464,22182895,17742845,13496495,13496494,12608725,8557595,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331051,8262979,12237123,17369261,23691799,31181501,254876888,17386798,17386175,17386176,13418633,9174663,6004921,3755383,2249046,2249045,3755376,6004908,9174576,13418499,18833432,22797101,16580245,254278274,30186661,28829912,254278272,10746189,7099914,4470306,4470307,254414430,7099890,4470295,2685860,1555887,1555886,2685858,4470290,6393592,4012307,2404612,1391471,791283,448126,448125,791277,1391460,2404588,1416420,254215265,4094882,6535493,4094914,4094915,6535568,9943800,14453386,19836886,26650466,30219272,30219271,24067698,17711881,17711882,254650688,33213470,33213471,30219085,22826794,16605844,11581488,11581490,16605849,22826800,20150999,14455417,9945045,9945046,14455421,20151003,25339608,24081759,17724525,12540004,12540003,254865730,25241605,18671882,13280007,13280006,17794447,17794448,254869696,14456565,14456566,11475449,7632653,7632604,4828843,2909872,2909871,4828838,6536682,9945741,11581484,11581486,14454039,9944226,6535806,6535808,4878610,4878609,7708667,7708784,11581539,12539974,8501026,8501023,12539969,9945144,9945145,11475191,7632844,4828972,4828973,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,9945615,6536605,4095446,2450088,1416544,1416543,2450083,1416554,1416553,2450110,4095496,6536724,9945803,14456647,10757539,10757540,15553561,19703997,26443160,26443159,20152510,14456583,9945762,9945764,14456585,20152514,19705061,14128841,9720108,6394244,4012636,4012637,254679537,255310223,255556292,11239245,11239246,16171762,22316931,17415357,254529128,31222895,34319330,34319329,29667776,22316122,16171087,16171088,21793106,21793104,19837328,15726447,10890283,10890285,15726626,15735016,14169257,9740929,7207712,5173140,5173139,8078228,9719901,9719902,14128425,19704512,15733899,10897099,7207276,7207275,10897093,12310801,17376847,12300039,12300038,9719889,6394130,4012581,4012580,2727324,2727323,4537347,7201888,10890358,15726798,21785348,17462479,12310732,8315146,5365352,3298350,3298349,5365348,8315142,12310719,17462461,23794554,19781568,14169001,9740776,9740777,14169006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7928202, s2 = 9800702, dlinesl.size( ) = 8 s1 = 10995608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10995608, s2 = 627762, int(edited[s2]) = 0 s1 = 10995608, s2 = 627762, d1 = 6, d2 = 4 Dl.O(d1) = 268086293,4724657,2846713,1651657,1651660,2846727,4724693,4804249,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478116,11425804,11425803,16409972,22592745,16409680,16409682,22592755,25412416,18821026,18821029,22591439,16408787,11425069,11425070,9687636,7594805,6891165,4326025,4326021,6891152,10454061,15158694,21103238,22668943,29023115,21733795,21733794,254746574,254509666,15677363,10853506,7175573,7175574,10853509,15677366,21721762,28999192,28999185,28999186,26205648,23447725,21746607,15694854,15694824,10864998,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638560,16473788,11478098,11477680,10867820,10867821,15699075,21752370,22669448,22669449,28313579,28313578,36810181,37576206,37544370,28999031,28999032,21741966,21741967,22668952,30044452,37564524,29017882,21729476,15682595,15682594,21729470,23868433,23868432,31362697,40042935,33153388,25412262,25412263,33153393,37590986,37591034,37591033,37569704,29037757,21745615,15694204,15694203,16606357,16606358,21737456,21741785,15691278,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043225,24229083,17856604,17856607,24229092,31737966,40432115,50469813,61207193,71581720,71581719,71587525,71587524,58873489,47492892,47492894,58873492,49804846,49804845,47467335,47467334,58851606,47485164,47485162,58866949,256352808,71583084,71583085,59932678,59932679,49064438,49064439,58796182,47409301,47409300,58796178,58849372,47464615,47464614,37575249,29028307,29028308,28313850,21103509,21103507,28313841,28313870,36810507,36810525,28313890,28313889,30051819,30051814,38625663,255424164,256044034,47489364,58870672,71575798,71575797,258083816,256044111,24235522,31746131,31743938,31743939,40438160,50475119,50475188,40438227,31743984,24233916,24233918,24233940,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,22675497,21726923,15680765,15680764,21726921,17857656,12646259,12646260,17857660,24230668,31740106,40434424,50471902,61966850,61970636,74768471,71584186,58860207,58860206,58189531,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071114,17167589,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728987,61207482,50467704,40429802,31735650,31735647,28272207,28272210,31749949,24238663,24238662,31742590,24233137,24233139,31743041,40437268,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,24230221,17857329,12646041,8586339,8586338,12646039,17857327,24230217,31739400,40433654,50471131,52515749,52515748,58023308,70737629,59927872,48534311,38619038,38619037,38181793,38181794,48093505,59482995,71580797,74767224,61968297,50474001,50474002,52069170,41755340,32834315,25129255,25129253,32834310,41755336,52069168,50480808,268449642,40440123,40440115,31745755,24235308,22902841,16671906,11636949,7752693,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229133,29039967,37587464,36945541,36945544,37558982,29012604,29012598,37558967,46651875,46651878,47476656,46823416,46823414,47480894,37575153,30051683,24233240,24233241,31743162,30051701,22675803,22675801,30051715,38625536,48540149,59932893,72672314,86272020,85151262,71583084,58858940,58858941,61967979,50473601,50473602,61967984,74765820,74765819,74765823,71575699,58849364,47464607,47464605,58031748,58861325,58094251,46722167,36839365,36839364,46722160,52720689,42333521,42333519,48407940,48407938,59792852,58873245,58873246,71594892,59180014,59180013,62212019,58869565,47488124,37583124,37557946,29023882,21734327,15685887,10858960,7179175,4522510,4522513,7179187,10858990,15685956,21734461,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,37554003,47461467,47491454,58872326,50472411,40435001,31740698,30869977,30869978,39356863,30755990,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,17859152,12647333,8587103,8587101,12647361,17859462,17856632,17856628,24229143,31738072,37561270,37561271,29017409,29017412,30869770,23441380,17167557,12071097,12071095,17167543,22535818,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,17167622,23441495,25813438,30051208,30051209,38625021,47485356,47485354,58867069,50477608,40440730,31746197,24235548,17861074,17861072,24235543,31746188,40440713,50477584,50480416,50480417,61973121,74765516,88399770,74766803,74766802,71592911,61975079,256551266,74766212,61966638,58852864,47468747,47468215,47468216,50480522,40444134,31749564,24238400,17863341,12650031,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,17338821,23655563,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,33601065,33601069,42625603,47780402,59179627,61969592,50482013,50482014,49728543,48093528,38181811,29614785,29614786,37556390,37556394,37566847,39825202,39825203,31742716,31742715,40436846,47468868,47295986,37386631,37386635,47295996,38067162,38067164,31740490,31740494,37386442,47295690,47295814,47468603,37561673,37561675,31750888,24239372,17863995,17863999,24239388,29549411,29549410,38112228,48021764,59408295,61971321,50478198,47478368,47478369,58860876,59179957,50468219,50468217,50473441,50473442,50499576,47492297,37587865,29040326,21747892,21747893,29010199,33332187,25572447,18963422,18963423,25572453,33332200,42312526,52699614,50472127,47296054,37386679,28846399,24230965,17857814,12646318,12646313,17857805,21574406,21705001,28988772,37533515,47441415,49777902,47295796,37386496,29549428,22205787,22205785,29549421,38112251,48021813,59408348,59408448,59408445,61964798,50482008,40445627,31750871,24239361,24239358,31750857,40445591,50481948,58686915,47296007,37386652,37386653,47296013,50497828,47493014,42312458,33332167,33332168,42312465,40436905,40436902,37386693,28846406,21574488,21574487,16721258,11679656,7874808,7874807 Dl.O(d2) = 16083908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10995608, s2 = 627762, dlinesl.size( ) = 2 s1 = 10995608, s2 = 627762, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10995608, Dl.E( ) = 8, 1.29e-05 seconds used appending s1 = 14885342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7942820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7942820, s2 = 10166668, int(edited[s2]) = 0 s1 = 7942820, s2 = 10166668, d1 = 32, d2 = 27 Dl.O(d1) = 256022114,13587100,9303422,9303423,254404456,8681964,8681965,12772757,18020977,14956414,10289760,10289761,14956420,20857677,20342002,14599774,10045985,6601662,4135754,2473934,1430031,813532,461150,461151,813526,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578411,8584928,6732179,4217872,4217871,6732173,10246147,254218318,254946982,13962461,9586662,6292779,3941415,3941412,6292771,7423742,254590272,257515641,255839068,19061183,13607587,9317768,9317767,254226260,4765645,2872806,2872804,4765634,7533680,11336915,16294347,18147115,18147114,24593074,18723666,18723667,25298234,268663903,27250075,256238891,21085326,21085310,15145631,10445661,6885998,6885999,10445663,15145634,16202295,11263027,11263029,254966542,24569034,32152518,32329367,255318070,35323504,27247571,22888402,16659639,16659638,22888398,30286180,260062109,86844169,73230982,60483950,49080409,255316974,11804040,7884103,5007076,4021668,2409758,2409762,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393933,2408935,4020091,6407841,9744621,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211347,29394224,29394225,29218179,29212969,21898868,15820277,15820278,21899221,23187142,27209670,20281513,20281512,23187891,21901955,21901952,15946595,15946594,22049854,17759288,12566984,8522092,8522091,12566978,17759281,23186497,20282018,14552733,10964277,10964276,15821274,19800715,26608233,20282538,14553105,14553104,16780230,15162892,10456831,10456832,15162897,15820217,10963664,10963666,15820226,19794757,20280212,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,3237382,1899263,1084106,1084102,1899240,3237327 Dl.O(d2) = 750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301579,37871164,42200837,254845214,26598365,34585417,29301851,21974530,21974529,22271801,16130096,16130095,21491431,15485716,15485717,15526056,15526057,15880513,11008414,7287499,4595650,4595649,7287412,4595607,2764698,254345849,6407911,9745063,14175201,19789776,26595265,34582374,42275410,33294268,25532919,257620546,10322567,14991354,15025394,14969449,10301640,9060763,5924365,3704517,3704519,3712992,5924589,3704648,3704647,5924587,6818146,5926180,3705557,3705558,5926181,7778194,5939461,3713878,3713879,5939466,9081380,10311468,6782406,6782404,7273801,9063984,9079668,9070614,9070615,13287597,13304295,18697331,17085701,11998204,8051015,8051016,10379450,15053557,255242989,8984604,5865548,5865547,8984599,13180784,9094245,9094244,13313520,9278913,6077953,6077950,6104699,3819723,3819718,5865715,3804608,3804605,6080316,9282097,13557765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7942820, s2 = 10166668, dlinesl.size( ) = 22 s1 = 3566186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3566186, s2 = 14164629, int(edited[s2]) = 0 s1 = 3566186, s2 = 14164629, d1 = 1, d2 = 1 Dl.O(d1) = 120126848,112264578,98282988,98282989,257688686,64597266,52696575,42309632,39882838,31202854,23715036,23715037,23899091,23899092,17914723,17914722,254284378,8403971,5422930,3333708,1960648,1120018,628465,349157,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584270,3325592,1955899,1955897,3325606,5409815,5400213,3797086,2274340,2274339,3797079,4716858,4716856,7464136,11244874,16178087,12398473,8378940,8282580,5401054,3320806,3320805,5401047,8368624,12384363,17554875,23159540,16898288,11825720,11825721,13063131,13063132,18390965,13523013,9254471,9254470,13523011,255672227,33329167,42309631,256138645,18977315,13541417,13540427,256138437,42324896,52712014,64612388,70748968,58034652,46661835,36776491,36776492,31511542,31511541,25738643,19105534,255455514,17566070,12394658,12394657,255179175,23909623,31401825,40082473,50103062,61582979,74359561,87961812,101934658,260722957,143206457,154472194,270816822,86595026,72997364,72997363,86595029,100556675,114588719,114588721,100556677,98150010,259889731,84256142,84256141,98150032,112109204,125942669,125942657,112109188,98150014,84256124,70704598,70704599,84256125,72987932,60252466,60252465,60252488,48859700,38940232,30354064,255508215,7782648,4933003,4933004,7782650,11673685,16715470,268418391 Dl.O(d2) = 120126848,112264578,98282988,98282989,257688686,64597266,52696575,42309632,39882838,31202854,23715036,23715037,23899091,23899092,17914723,17914722,254284378,8403971,5422930,3333708,1960648,1120018,628465,349157,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584270,3325592,1955899,1955897,3325606,5409815,5400213,3797086,2274340,2274339,3797079,4716858,4716856,7464136,11244874,16178087,12398473,8378940,8282580,5401054,3320806,3320805,5401047,8368624,12384363,17554875,23159540,16898288,11825720,11825721,13063131,13063132,18390965,13523013,9254471,9254470,13523011,255672227,33329167,42309631,256138645,18977315,13541417,13540427,256138437,42324896,52712014,64612388,70748968,58034652,46661835,36776491,36776492,31511542,31511541,25738643,19105534,255455514,17566070,12394658,12394657,255179175,23909623,31401825,40082473,50103062,61582979,74359561,87961812,101934658,260722957,143206457,154472194,270816822,86595026,72997364,72997363,86595029,100556675,114588719,114588721,100556677,98150010,259889731,84256142,84256141,98150032,112109204,125942669,125942657,112109188,98150014,84256124,70704598,70704599,84256125,72987932,60252466,60252465,60252488,48859700,38940232,30354064,255508215,7782648,4933003,4933004,7782650,11673685,16715470,268418391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3566186, s2 = 14164629, dlinesl.size( ) = 2 s1 = 3566186, s2 = 14164629, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3566186, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 68005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7884542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9127926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9811585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 663653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278453, s2 = 14064343, int(edited[s2]) = 0 s1 = 14278453, s2 = 14064343, d1 = 18, d2 = 33 Dl.O(d1) = 31925488,40641201,257090406,57665782,57665781,70355449,70355357,57665685,46321463,36468516,28009510,256271007,46321465,36468539,36468540,46321485,57665706,256918674,36468572,36468573,46321521,57665748,257673520,67823247,55481546,44631407,37926710,36468585,28009561,256271013,46321533,57665761,70355420,67803796,67803797,70355398,57665730,46321546,36468594,36468593,35132468,27046887,27046888,31629782,31629781,40317672,36468546,28009527,20844649,20844648,28009524 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278453, s2 = 14064343, dlinesl.size( ) = 2 s1 = 14278453, s2 = 14064343, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14278453, Dl.E( ) = 36, 2.91e-05 seconds used appending s1 = 9687903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9687903, s2 = 8426758, int(edited[s2]) = 0 s1 = 9687903, s2 = 8426758, d1 = 9, d2 = 16 Dl.O(d1) = 258272262,256027130,21076025,15139115,15139114,21076023,28280942,36776967,37305939,37305940,29233083,21915936,21915935,29233081,37795468,42251058,50181579,50181578,40169982,254273074,40158060,254272184,17630094,12451462,8419792,5434217,5434219,8419803,12451485,17630139,15832879,15832881,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465114,17640694,23974058,23974057,31469866,31472560,23992370,23976675,17629040,12449967,12449966,17629037,23976664,18118877,12847820,12847821,18118882,24556628,30740967,29169905,21860513,15788238,10938184 Dl.O(d2) = 72450672,86049417,100012775,114040247,109473843,95219848,257466368,67697412,67697409,67697408,81163230,95219841,109473836,115583409,101547360,87585013,73984518,257259786,101547357,115583405,123665737,109473825,95219855,95219854,109473847,123665765,137396588,150435938,259649538,109473832,95219838,258701010,109473816,123665727,109473843,95219848,257466368,67697412,67697409,67697408,81163230,95219841,109473836,115583409,115583410,129468430,260265900,142789898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9687903, s2 = 8426758, dlinesl.size( ) = 2 s1 = 9687903, s2 = 8426758, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9687903, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 31050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 31050, s2 = 14031146, int(edited[s2]) = 0 s1 = 31050, s2 = 14031146, d1 = 21, d2 = 35 Dl.O(d1) = 548071,306835,306834,547361,971926,254245063,4892798,2955032,1713510,254245443,4891368,4891367,7727540,7687536,254799777,7732791,11412654,16396203,11615896,11610476,11610474,13380387,255307600,268546960,9130753,13360269,18762209,25342535,24609080,18160314 Dl.O(d2) = 9622910,9765958,6421083,6421080,9622910,9765958,6421083,6421080,9622910,9765958,6421083,6421080,9622910,9765958,9766111,9622887,9622889,13578168,14004615,9622755,9622756,14004617,19555140,26275949,256160836,257835606,256684930,40766232,256183126,62481171,62481170,257154522,44756277,43908399,34635412,34635404,26644342,26644343,26644346,26644345,34635409,41822984,32899248,32899247,254667916,22811501,16593670,16593669,22811499,30202632,38787245,48709474,60105039,72841585,62832730,51182672,256167212,24636070,24636069,32233700,41026097,51182665,258333387,89578891,103694378,117848409,131676435,144925136,269539014,106744031,92439030,268768172,120996582,134792557,136768225,122937418,108673473,94387203,258355884,43908392,256088790,26644348,34635411,43908393,54650735,66907222,80333442,259763353,109791045,109791046,123926813,133385392,257835348,91083982,77172750,77172751,91083985,257835354,100821278,100821279,270034090,142124025,142124023,128769301,114872392,114872391,128769299,142124020,154757866,271466614,136768227,122937423,108673475,94387206,256569372,66907220,66907219,257130698,44756275,55666534,68065843,259179347,271475094,78649549,78649548,258940518,257704086,73227417,86840061,100821281,100821275,86840056,73227413,60480912,49077691,49077692,60480914,64036009,255291872,32937188,32937187,41869841,52197973,64036008,255213100,60281939,60281940,60480916,60480917,60480909,60480910,257119416,78649541,65346434,53344327,42880197,33837119,33837120,256464584,50890863,50890862,62489985,64036000,52197969,52197970,64036005,73227399,60480906,258197781,86840042,100821270,86840049,269838543,39147910,258197783,65346441,78649552,89155112,89155113,103245014,117374294,269539010,91083980,91083981,105297848,99588933,99588932,100821274,100821273,114872386,258820934,258197784,78649545,78649546,86840046,100821272,269366780,256464580,59316412,59316413,72051239,85638813,73227402,60480907,60480908,73227404,85638810,255963542,47923339,47923338,59316408,270317077,113604274,99588931,85638815,85638816,99588935,103561751,95258794,81202842,81202841,95258792,81202848,258820936,113604271,99588928,99588929,113604273,117696503,117696504,131502774,272656111,123704615,123704616,137434583,270452434,81202836,67738264,67738265,81202839,268819308,62965248,256732122,87917514,87917516,101891606,115937757,258700792,86380847,72784771,257896284,48649412,51904933,51904932,54648831,43906459,43906460,34633711,34633710,43906472,43906426,255863370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 31050, s2 = 14031146, dlinesl.size( ) = 10 s1 = 10348032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6618208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7877031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 981695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8182047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9749445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6607744, s2 = 193937, int(edited[s2]) = 0 s1 = 6607744, s2 = 193937, d1 = 41, d2 = 46 Dl.O(d1) = 256487428,23582326,17270024,17270025,18915781,18915782,25525080,31908799,40623064,41598793,41598792,51899016,42265153,41598813,32696524,25014112,25014111,257151280,39744480,32696507,32696508,39744484,31415503,23925660,23925662,268618565,21610170,28886244,29387871,37952758,40479215,31784879,24272109,24272110,31784884,25013689,18484809,18484810,25013693,23582321,18485211,18485212,25014114,269779882,18485202,18485196,18485197,256098339,269063185,51899018,41598797,41598796,41598803,32696529,25014115,255239093,8950399,5841980,5841982,254903717,18485200,25014107,32696518,41598804,51899013,41598781,41598782,41598775,41598774,41598810,51899026,256487432,52651119,42265160,33285279,33285280,255537110,61241908,49762961,39744413,32696498,25014096,18485193,18485194,256098337,41598780,51899012,63706927,257032592,77733421,269375364,63706936,62005751,62005752,256487430,51899025,63706938,76809373,90678558,104846985,90678560,76809371,76809372,90678562,98604321,84679195,84679196,84644368,71081975,71081974,71081958,255830780,37110470,28601624,254732250,15388543,15388542,21368310,15388534,15388535,21368307,15388524,15388525,21368308,254732252,21368328,255033018,255400336,28601629,28601630,21368323,15388540,15388541,13132681,255239087,268480715,15388536,15388537,21368319,28601634,37110486,41598786,32696501,255830798,37110496,268207062,40479242,268450559 Dl.O(d2) = 18485196,18485197,256098339,269063185,51899018,41598797,41598796,41598803,32696529,25014115,255239093,8950399,5841980,3645547,3645545,5841974,8950389,13132679,18485190,256098293,13132374,268136641,63706506,51899006,256612265,25014089,255239083,8950391,254903715,14509733,14509732,268917832,255033015,255830789,268731123,27124808,20220439,14509734,14509731,255754039,256755725,257166291,18485277,25014187,256612277,35217955,27124810,20220442,14509735,14509729,14509728,20220437,20220448,14509740,14509738,18485278,13132752,13132753,18485280,25014189,32696581,269949734,268480711,256098333,14509742,9984225,9984224,268177191,27124820,255637933,8950278,5841899,5841898,8950276,5842005,3645558,2179111,1262732,1262731,2179108,3645551,5841990,8950414,13132718,14509794,14509793,20220503,18488528,13134941,13134943,9984214,6562235,4111046,4111045,6562229,4111054,4111055,6562255,9984243,8950257,5841887,3645493,2179085,2179086,3645497,5841894,8950269,13132521,18485035,25013906,18484988,13132483,255239057,13132538,18485050,25013965,18485497,18485496,18485248,13132724,13132725,13132732,18485027,18485026,25013953,25014185,18485276,13132750,13132749,18485274,25014179,18485272,13132747,13132746,18485268,18488350,14509751,9984229,6562242,6562243,9984232,13132495,8950247,5841877,3645490,3645491,254636819,13132476,18484977,13134715,255239265,255637931,18488512,255239097,8950423,5841995,5841996,8950425,13132735,18485260,25014166,25018381,18488342,13134785,13134784,13134935,255239293,25013877,32696296,32696365,27124823,20220456,14509746,14509747,14509752,13132491,13132490,18484996,13132488,255239059,255637911,13132467,8950228,5841862,5841863,8950231,13132469,18484965,25013889,18488521,18488520,18485255,18485254,25014153,32696569,25018552,18488514,13134927,8951798,5842800,3646012,3646013,5842802,8951803,13132460,15851771,10986119,7272125,4586070,4586069,7272122,8950249,13132497,18485003,21940085,21940086,25013917,23925654,17584280,17584281,23925657,25018385,18488347,18488348,25013896,18484974,13132474,254636815,5841865,254903687,8950676,255239141,254636876,5842166,8950674,13133061,18485628,18488510,18488509,18488504,268019001,8951794,13134920,18488385,13134819,13134818,15851783,10986131,7272133,4586076,2759101,2759099,4586073,7272129,10986126,15851778,12411609,8388532,8388531,12411607,17584284,23925659,25013879,18484955,13132462,8950225,8950226,13132464,18484959,13134881,13133066,13133068,18485632,25013542,18488486,13134910,8951787,8951786,13134909,18488484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6607744, s2 = 193937, dlinesl.size( ) = 2 s1 = 6607744, s2 = 193937, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6607744, Dl.E( ) = 52, 3.1e-05 seconds used appending s1 = 703646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7858282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9695932, s2 = 8329925, int(edited[s2]) = 0 s1 = 9695932, s2 = 8329925, d1 = 3, d2 = 13 Dl.O(d1) = 257610246,47298196,37388959,28849028,28849027,37388958,47298194,58689098,54907291 Dl.O(d2) = 38000444,31101168,31101170,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,23616735,23616734,31100476,23616550,17303317,12181140,8212869,8212870,255160723,23616561,23616800,17303440,17303441,23616803,31100879,39779417,39779964,31101392,31101391,39779957,256570954,42161941,39780322,32913403,255214182,52161627,59648625,72383362,76267962,63249283,51532997,41312547,32467526,24828491,24828490,32467520,34623843,26634531,19822940,14199571,14199572,18859533,25459244,255976984,33207019,33207020,30733325,25456025,25456024,257199681,33206734,25459105,25459104,33206732,42166904,52525305,64399018,73488960,257200090,39407157,39407147,33201959,25455169,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442374,13435258,18856825,25455770,18858663,254921765,6012511,3760350,2252586,2252585,3760360,6012577,9186630,13436679,18858899,25458361,33205766,42165928,257790181,64398184,65375840,53371673,42905600,42905599,269540191,78680837,92744367,92744355,78680829,65375844,65375845,78680830,77237438,64093190,64093191,77237441,91153013,105370695,259637407,77237423,77237424,77237425,91152996,105370686,101388222,270832917,59196756,59196755,59196754,71936454,85524534 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8249010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14023772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8230892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8230892, s2 = 14063299, int(edited[s2]) = 0 s1 = 8230892, s2 = 14063299, d1 = 22, d2 = 13 Dl.O(d1) = 40484246,40484245,268254132,25787722,25787724,28294237,21087143,21087144,28294239,36790915,28294240,21087147,21087146,21087184,28294284,36790882,31789200,28294166,21087067,21087066,28294164,21087166,15147002,15147003,21087168,21087098,15146951,15146952,21087100,28294202,28294229,28294230,36790907,46676870,46676869,40484146,36790922,28294248,28294249,36790924,46676908,58051568,46676828,36790814,36790815,256835043,28294214,28294215,36790833,28294153,28294154,36790837,36790942,36790905,36790904,46676896,58051602,62016346,62016345,62016347,50524620,40489026,40489025,39247222,39247223,49172390,50248697,256707356,255905364,31789271,31794025,24280189,17899697,17899698,24280191,31794028,40489049,50524631,40489045,40489044,32173385,24587335,24587336,24275755,24000820,24000821,31498412,31794006,31543506,31543505,27994769,20830504,20830506,27994770,36453264,31794033,31794034,255903010,31543468,24040189,24040188,31112956,23626452,17310682,12186535,12186537,17310686,23626459,23626484,17310706,17310694,12186541,12186542,17310698,23626475,31112988,33583476,38239925,29675082,29675081,38239923,255190672,33583495,38666494,38666495,48149234,46527437,42607534,33583459,25787664,25787665,31542562,40228911,39793512,31112959,23626454,19142921,13668490,9360009,9360010,13668492,19142924,25787697,33583503,42607577,42607548,42607550,53055397,255579776,65038216,65038215,59974481,59974482,53055412,42607575,33583497,33583498,39793511,39793510,39793525,256031840,19142909,19142908,25787670,24039348,24039349,31542602,40228947,46527409,36659967,36659968,36659945,36659813,254864124,47703686,39816582,31133998,254864054,49814226,47703772,40233407,40233408,37782725,37782724,47703595,39793560,31113006,31113007,257084972,23626490,17310710,17310711,23626492,22205756,22205755,29549377,31547607,40233598,50253150,50504795,47703684,37782850,29221176,29221177,31789329,24275976,24275975,31789324,36659984,28183489,21000625,21000626,28183493,36659992,37782881,37782728,29221022,29221025,29221114,21905830,21905828,29221110,37782800,37782784,31133939,31133938,31133979,31133978,23646248,17329382,17329381,23646243,31134009,39816599,46527400,36659950,36659791,28183298,21000429,21000428,21905836,29221123,33742093,40468993,31774096,24261821,24261818,31774088,40468983,47703622,254863980,41385960,41385961,47704075,46527403,36659954,255190486,52890366,59101905,59101887,59101886,71840877,61323381,61323382,256031692,51612035,51612015,41385899,32535339,32535338,37782925,37782924,36698752,28207923,28207922,36698749,46585399,48711923,58681505,58681506,71415300,72843369,62193853,62193854,65119889,59087180,52709157,42321903,33341009,33341008,42321901,256439447,30204669,38789437,48711584,52709153,42321897,41385874,32535316,268444956,18390221,24890233,256548926,30204925,38789712,256548922,22813076,16594986,15093596,10409955,6862047,6862046,10409953,15093590,21015133,28207934,36698770,40181957,31497233,31497232,30775439,30775440,39376904,38789471,30204701,30204700,30204486,30204485,38789215,30204458,30204457,24289369,17907818,12686611,12686612,17907821,24289373,29675733,29675734,29857371,38240550,29675737,22813500,16595243,16595244,22813092,22813492,30205053,38789819,48149338,39205825,30609804,23190372,23190373,30206302,30206303,31094680,23611085,268004338,22324792,16179423,11246011,7464930,7464929,11246006,16179412,22324777,29675786,29675790,37049210,36561455,36561454,29675729,29675728,22328171,16182075,16182074,21324858,15352909,11250575,11250574,16182077,16182078,22328173,22814895,22814896,22324566,22324565,29675527,38240340,46927311,38248355,29683422,22331747,16185243,16179399,11246000,11245999,11250555,11250556,15352924,21324886,16179222,11245884,7464855,7464853,11245880,11574216,255497097,21324855,15352906,15352907,16182952,16179018,11245734,11245735,11247962,7466313,7466314,11247967,11574937,255115093,22329111,16182901,11248644,11248645,16178986,16596114,16185302,11250581,7468278,4719615,4719614,7468275,4875990,4875991,7704377,11574714,16596236,22814775,22325148,22325149,23108576,22324173,16178952,11245679,7464711,7464712,11245681,11246168,7465032,4717411,4717412,254774571,7465038,11246179,16179671,254774573,4717425,4717426,7465056,7466855,11248619,11250518,11246023,11245614,7464650,4717171,4717170,4717340,4717341,7464911,11245967,16179339,22324262,22325173,21869250,15795301,10943733,10943732,15795299,16179743,11248611,11246231,11245644,7464681,4717190,2841841,2841842,4717194,4717222,2841856,1648529,1648532,2841862,4717229,7464736,11245606,11245626,7464669,7464670,11245628,7464899,4717331,4717042,2841753,2841754,4717036,7464471,7466935,7466541,4718455,2842643,2842644,1649115,1649114,2842814,1649092,1649090,2842811,4718415,2842615,1648980,1648982,2842621,4718422,7466499,11248174,16182324,16182957,11248695,11248694,16179636,16182922,16182920,22329137,22323758,22323759,24269573,17890404,12672240,12672241,17890408,22171010,16047300,11142565,7390831,7390830,11142564,13707964,9388987,9388988,13707967,19193491,22171021,16047309,11142571,11142570,16047292,11142561,11142560,16047290,22171006,19193540,19193478,19193477,14191425,9755592,9755591,9389624,9389625,13708830,19194641,25848439,25848440,22087992,15981462,11094572,11094573,15981465,22087997,24269624,31782370,255690539,13708043,9389030,9389029,13708040,19193605,25848604,33652844,33827111,26009423,255690527,19193440,19335510,19193612,19193610,25848614,33653000,42683255,53134287,53134289,65119862,59385238,47996029,38083765,29519129,29519128,33652948,33652949,42683215,53134368,59379753,58268604,46902880,46902881,42868179,33827087,26009391,26009392,33827089,42868183,53329539,50279289,42643370,33616328,33616329,256357956,255429090,50826117,42643388,42643389,42643386,42643384,53093333,53093341,42643377,42643376,46902851,58268593,59652165,48265332,38354348,29781645,29781646,38354350,48149624,59536465,48149631,38240456,38240457,29675706,22324706,16179360,11245982,7464919,7464918,11245980,16179356,22324700,29675696,36421556,36421559,46274159,57618605,70309166,59530891,49041092,39111369,39111370,48149649,38240474,38240475,37165099,37165098,47055970,48149636,48143405,48143403,55467121,55467122,67808879,59530897,59530898,257058666,38232991,38232992,30427242,30427241,39016188,38240472,29675665,29675664,38240470,48143396,48143397,59530885,59652200,59652201,48265318,48265319,58689519,48143387,38232993,29666767,29666768,28849657,21577885,21577887,28849662,37389573,47298763,58689516,59381874,59381873,51432282,51432281,58467169,58467171,71189210,65120142,53134658,42683559,42683558,47298781,58689532,47996592,47996593,57618606,48143391,48143390,59530878,59530895,48143410,38233002,29666772,29666771,38232998,48143401,41234178,41234179,38079150,38079149,255925174,72114185,72117336,257546710 Dl.O(d2) = 48849166,48849167,53319453,42856537,33815146,25998240,19326431,13820201,9478274,6215096,6215097,9478277,13820208,19326438,25998248,33815143,33815142,42856535,48848880,42851946,33810781,25994253,25994254,33810784,42851950,53314795,42856636,33815258,33815257,42856634,53319530,53314783,48378986,48378987,59761765,72495878,60242772,48849141,38929067,30342881,30342880,38929064,48848759,53320102,42857315,42857316,38931602,38931601,38931665,30345750,30345751,25998244,268508883,42856539,38928852,38928854,38928682,30342488,30342489,38928685,255951578,30343273,38929352,38931799,38929165,30343011,22941757,22941758,30343014,38929167,33815392,25998522,25998521,21671479,21671481,20228946,20228947,21678328,16708258,11667589,7777751,7777732,4929295,2973313,2973315,4929263,7777780,11667642,16708316,22944354,30345540,30345539,30345732,22944379,22944380,17282947,12161954,8192446,5261949,4928048,4928047,7776127,11665541,11665568,16705807,22941565,22944148,22941805,19327224,19327223,21671618,16706011,11665683,7776203,4928078,4928079,7776208,11665695,16706028,21671492,15634493,10819296,10819293,15634482,15639139,15639138,11667606,7777761,4929253,2973290,1725467,980954,980956,1725477,2973307,4929282,7776235,11665751,16706106,22941947,256451461,255951339,16706207,11665818,7776263,4928106,2972511,2972512,4928108,254803959,15634598,10819380,9986694,9986693,14513373,20225334,17282968,17257845,12137930,8167884,5237401,3197073,3197076,5237410,8167898,11667436,10822296,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941127,25091378,22941119,20237833,14522042,10819331,7150340,4502862,2705910,2705908,4112615,4112693,6564886,9986799,14513549,20225585,27130983,35224787,44605620,257921547,48933193,256999715,30420424,23015367,16775466,16775465,23015365,30355304,29827561,22460232,22460233,29771945,29771946,26649895,26649896,26649930,26649932,34641432,34641495,26650000,26650001,28847365,28847367,37387636,37520645,37520640,43914859,43914860,54657546,48876003,48033251,38120039,30714574,30701778,30701777,39299381,48876008,48876010,49226254,40456664,31762253,24250380,17873066,12656836,12656838,17189134,17189133,23285908,23285907,30701750,30701761,23285917,17026754,267988337,7992701,11941793,17026752,23285913,30701756,23285931,17026762,11941798,7992704,7992703,7992710,5087600,5087598,7992708,11941807,11916810,11868829,11868831,7993488,7993489,7951600,7951599,11892041,16978898,23245404,23245411,16978905,16978906,23243699,30356464,23298084,17038195,11952168,8000933,5093481,5093483,8000940,11952180,16976509,11951324,8000127,7992199,5087151,5087152,7938980,11875943,16964004,17027467,21125932,21125933,28338182,36834933,30648537,30648536,30371539,22969998,22969997,22954802,16718276,11676449,11676448,16718274,17026367,23285516,17454870,17454869,23271536,17026305,16996173,16996174,23259181,23276275,23276274,22969497,22558480,16733326,11690625,11689925,7796184,4943688,2983560,2983561,4943692,267897779,7796791,4944154,4944155,2983914,1732307,1732306,2983911,4944184,7796821,7781083,4931653,2974945,254247049,1726860,2975467,4932301,7781809,11672780,7797291,4944563,2984238,2984237,4944561,4943667,2983719,1732178,984749,554336,310163,171536,171537,310166,554341,984761,1732204,2983768,2983765,2983766,4944004,7796610,11690416,11728866,7830410,7830409,11728864,16775464,21147107,28362869,24914406,21147136,15194054,10480095,10480096,254934658,19463412,13929020,13929019,19463410,26163833,34005580,43063395,42770222,33740204,25933154,19270838,13774636,13774635,19270837,25933153,24887237,18387892,13061073,8900258,8900259,13061074,18387895,24887242,32532015,41382477,42773089,42773091,33742647,25935510,25935509,31144795,23657708,18580433,18580434,25134100,32839397,41759603,32839384,31471506,31471505,40155608,32838117,25132974,25132972,29321925,25271207,18699230,18699229,25271206,32995405,41936250,37332126,37332127,37371330,254613546,28951068,21671178,15635829,15635830,21673436,28951195,268067976,18415194,255633337,19457840,26157072,33998933,43057808,47401235,37493248,28950833,21670995,21670996,26158318,26158317,29320526,21991691,15894148,13323163,13323164,13925891,9558511,6272002,3927000,3927002,6272006,9558525,13925922,19459142,26158678,34000483,39783291,49802473,61280770,58530479,55627518,55627519,55627732,44729650,35310044,27190245,27190244,35310042,44729645,44729446,35309897,27190125,20265978,20265979,27190127,25881757,25881758,33688124,42718143,42718231,33688199,33688198,42718118,53167706,47142549,37237411,37237412,35309862,35309861,42718094,33688091,33688092,42718096,44729441,46369409,46369410,47061529,58436971,71158879,68014585,55627443,44729387,35309852,27190095,27190097,35309856,33688079,27189943,27189942,256286270,53167910,55627445,44729390,44729391,55627447,47142802,37237620,28707088,21452451,21452452,28707091,37237626,42718440,35310054,27190253,20266044,14540471,10004185,10004184,14540467,20266038,27190243,35310040,42718364,44729599,35310008,27190224,20266028,14540462,10004180,10004179,14540459,20266020,27190214,35309998,44729578,35310086,35310085,44729684,55627763,68013900,55626685,44728684,44728682,55626487,55626486,61815508,55626442,44728432,35309172,27189672,27189671,35309171,39161514,49091198,60494452,49100689,49100688,44728496,44728495,50287463,55626635,44728628,35309320,35309321,39170303,30572065,30572066,23154358,16893079,11821333,7899641,7899643,11821337,16893088,20351570,14608119,14608121,17808530,17808531,17719347,12535783,8609800,8609799,12677427,10004100,6574271,4118172,4118173,6574274,6574291,4118183,2463214,2463213,4118179,6574285,10004130,14540359,20265830,27189681,27189645,27189646,35309126,40395649,40395648,44728445,35309230,35309227,44728499,50288101,50288100,61767891,269074760,74671278,61879129,50389416,50389415,48772504,38852682,38852681,47142845,39363217,30762008,30762006,30762007,35411373,27286421,20351425,20351426,27286424,27286453,20351442,14608041,14608042,20351444,27286455,27189713,20265744,20265743,27189711,35309236,44728513,55626521,48312511,38401773,38401774,48312513,59699369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8230892, s2 = 14063299, dlinesl.size( ) = 2 s1 = 8230892, s2 = 14063299, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8230892, Dl.E( ) = 24, 2.81e-05 seconds used appending s1 = 7913778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7913778, s2 = 2895854, int(edited[s2]) = 0 s1 = 7913778, s2 = 2895854, d1 = 30, d2 = 25 Dl.O(d1) = 43021199,33963583,26125329,19430788,13902842,9540946,6259360,3918531,2345612,2345615,3918546,2401651,2312343,2312347,1362571,1362566,1341716,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718 Dl.O(d2) = 86404907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7913778, s2 = 2895854, dlinesl.size( ) = 24 s1 = 14072274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072274, s2 = 14086392, int(edited[s2]) = 0 s1 = 14072274, s2 = 14086392, d1 = 1, d2 = 1 Dl.O(d1) = 105639572,105639571,105639567,91413792,77483095,64319162,257784651,52451533,64319167,77483103,77483097,77483098,91413797,77483113,64319182,52451542,255660976,25404384,25404383,33144428,42098600,52451538,64319176,77483105,256639830,256124262,256124260,33144431,42098603,52451544,64319184,52451555,42098611,33144436,33144437,268491222,42098607,33144433,33144432,42098605,52451548,42098615,42098614,268295920,64319194,77483115,64319190,64319183,256639828,255660974,255258855,13403730,18814684,25404389,33144440,42098618,52451558,64319186,52451546,52451547,55244423,55244424,254443506,54626820,54626821,63000658,51321427,51321428,63000660,51321438,41137461,32323422,24708514,18237014,255622003,32323424,41137463,51321405,51321404,63000626,51321422,41137449,32323411,24708502,18237007,18237006,24708499,32323399,32323398,269455795,257101200,59320447,47928192,38014023,29451910,22118078,16004874,16004875,22118080,18237002,18237005,24708497,32323405,258754290,29670865,255464723,4715500,4715501,7462141,11242197,255464725,29670874,38236218,42136282,33178546,33178547,40198238,31512398,24012044,17664833,17664832,23147480,30564769,30564754,23147469,16886938,11815909,11815908,16886935,23147466,30564751,33178412,25434769,25434771,33178416,33178596,42136325,50220233,40198269,40198268,36490820,28028474,20861221,14959589,255360683,28028477,28028415,20861181,20861182,28028418,27223031,27223030,20861178,20861179,28028411,25438268,18842048,13424288,9178267,9178266,13424286,18842044,25438261,33183385,40198265,40198266,40252798,40252797,257197214,33183247,33178423,25434779,18839604,13422719,13422718,18839603,25434778,18842006,13424264,13424265,18842009,25438219,33183334,29610333,29610334,33178536,33178406,25434766,18839598,18839599,25434768,33178411,33178493,28753937,25434743,18839582,13422708,13422709,18839584,25434748,25434922,25438210,33178454,33178570,25434939,20861196,20861197,25434979,18839730,13422788,13422789,15488436,10710504,7075802,7075801,10710501,15488429,21494611,17704987,17704988,18839748,25434999,33178438,25434819,18839633,13422738,9177305,9177306,10292386,6766138,4240345,4240344,6766137,10292383,14959570,14959572,20861194,28028440,33178424,33178425,31565392,255581133,17704990,24059813,31565396,40252801,33178654,33178653,42136383,256126978,28753931,28753929,37287849,47196224,57697637,52493068,42136171,33178387,25434746,25434745,33178384,25434831,18839640,18839641,25434834,33178444,25434802,18839625,18839626,25434806,33178451,33178576,33178577,25434958,18839720,18839721,25434962,33178635,42136367,42136303,42136302,52493159,46348512,36490835,36490834,46348509,46763644,47196222,42136231,42136232,52493115,64365884,71320940,83835651,268406174,84403067,70845811,58131524,58131523,64365932,64365934,70845792,268227076,48163413,58599879,58599878,71332119,60118091,60118092,72855049,60118100,48723001,38801935,38801936,48723003,60118105,72855059,86450440,77533776,77533774,77533775,72855062,72855061,72284210,59549950,58131488,58131489,70391532,70391533,83917577,85876360,257537350,48163441,48163439,59550032,52072289,52072291,61989311,52828338,42424178,42424179,52828331,42424173,42424174,43059654,43059655,53538982,65529132,53540432,256735488,78865283,269088996,71948842,65165909,256142892,72697072,78365081,65529148,53503541,53503542,52828355,255677648,33702414,42424188,42424186,52828350,53494295,43015981,43015980,43024000,53503535,47809739,47809740,58789137,58789116,254935388,37493430,33431932,33431933,42424192,52828356,54641079,43897901,34625745,268497202,38651731,43016918,53495266,53181256,42731994,33702410,33702409,254931510,33431931,25662712,19043046,19043047,25662714,33431935,34004688,26162919,26162920,26127887,26127886,33966285,43016906,33959802,26122219,19428138,19428139,26122222,33959808,43016915,53495263,268301296,43023357,47401341,38109848,38109847,48019985,48019990,48019991,48567230,38651730,30075401,22694891,22694892,30075404,33432256,25662988,19043276,19043277,25662990,33432261,42424562,52828776,48567244,48567243,268752120,38643910,30068622,22689614,255421724,34289062,26413410,19677834,14106801,9703459,9703458,14106799,19677830,26413401,34289046,43388393,43023975,43023976,53503509,59959211,59959180,48567205,48567206,53912698,43388399,43388400,43388416,256658438,43388382,48567210,257553193,64675420,52760319,52760320,53912687,43388381,43388380,53545360,65570111,58284339,58284340,70999559,84563515,98486697,99364139,85421591,85421590,78905213,65570120,65570121,70971365,257082618,256029520,28511554,37010226,46889088,58255970,70971370,70999601,70999645,70999646,84563576,84533876,70999594,58284366,58284365,70999572,70971404,58255998,46889106,37010236,28511560,28511559,37010233,46889100,256763748,68133379,68133384,55735479,55735480,68133386,74772832,84563565,70999623,70999622,70999618,70999619,70481768,57781616,57781618,67799309,67799310,74772900,256142628,70481764,65966990,65966991,255677464,70481678,79330147,65966970,60656602,49255998,39329194,39329193,46426538,46426539,52798392,267933670,34277796,26402625,26402626,34277798,43376837,53900728,53900729,53900730,255677460,70481638,70481639,84015524,85477501,85477500,99418625,113420215,115205511,101127601,87129312,87129311,90874768,256643662,52067828,268144704,25128148,25128149,255261300,49357916,60761257,60761245,60761244,49909198,49909196,61389383,74169879,73510410,60761231,60761230,257198963,33196629,25450493,25450492,33196627,42156068,52514063,64387722,73252613,73252614,64582724,64582725,259031326,77555918,77555919,91486717,100015192,86051920,86051921,100015186,86051913,72453326,270327321,100015188,100015195,100015194,101127590,91486710,77765847,77765846,85411194,99354279,101127616,258841349,60761237,49357901,39428200,30823885,30823886,39428203,49357905,60761238,73510416,73252625,72453316,59717129,48331785,48331786,59717132,72453320,86051903,87129295,99354283,91693510,77765825,268768634,63602102,51814489,41535266,32647729,32647728,41535264,51814484,63602094,59103650,47705514,37784640,37784641,47705516,258097315,259346295,259998860,99354281,85428307,71842492,59103648,59103647,71842489,85428305,74727793,61934285,50443683,49304225,39376526,30775107,23351342,17083784,17083785,23351343,30775109,39376531,49304235,39376556,39376558,48647351,48647352,59053958,60043807,51743287,41474538,32597546,24935561,18423622,18423623,24935562,32597547,41474540,37599644,29051594,29051593,29170883,256453622,30359073,26914287,20030605,14347609,11984385,11984386,17072636,23338808,30296766,22898221,22898220,30296765,28049371,28049370,26915725,26915724,34997095,28155899,28155900,28155889,20976813,20976814,20976770,15065462,15065461,20976768,28155828,36629894,28155796,28155797,254369880,30359288,22957817,16721839,16721838,22957816,17009279,11923211,11923212,17009282,254369886,49211269,47724059,37802860,29239298,29239297,37802856,29793810,23342776,17076588,17076587,23342773,30765987,38097585,268633054,46977806,46452759,36586839,36586840,46452765,46977978,43354928,43354929,38882640,38882641,38053966,38053967,37094611,30790766,30790765,39393408,49321503,46452767,46452766,57808752,58347179,49184543,47967231,47967232,46977850,37094567,37094568,46977852,49179587,46977923,39400860,30797702,30797703,37761853,37761852,29490091,29490090,38053974,47967234,59358422,53879591,53879590,48805295,47967208,47967209,59358406,72092196,257020680,58347233,65946380,257036830,34254095,26376822,19643302,19643306,19643726,19643725,19643322,14079233,14079232,9684245,6369890,3997017,3997016,6369885,9684232,9684312,9684313,9684367,9684165,9684166,14079521,17083001,17066774,11976541,11976540,17066772,12398693,12398694,17570591,255361150,18665455,18665454,22708574,16504548,267941098,1691882,1691883,1691800,1691803,2916416,4839785,7649496,7648983,7648986,4841800,2917716,2917714,4505691,2707642,2707646,2708322,2708327,2708585,2708586,2263120,2263125,2263159,2263163,2263376,2263379,3778667,6040119,268505454,258412075,61472353,68890877,56379208,56379209,60205197,72945011,86544820,77257412,64110893,52262127,41923779,32983412,25260023,18688451,255649421,32983417,41923787,48141318,268635891,16167010,255464055,29664811,38231078,37265829,37265830,257451023,70749918,58035695,46662996,46662997,269004445,31642971,24136268,17772389,12577328,8530638,8530639,12577332,17772393,24136271,31642973,40331790,50358758,61842695,59528434,48141322,38231076,38231075,48141320,51935764,63746378,74634779,257675357,268687935,24136267,31642969,36777656,28281577,28281578,256100187,18504517,13146934,13146933,18504516,25038361,256012349,17471117,256517257,41632349,41632350,51935753,63746370,51935754,41632352,41632353,51935756,258371311,88175432,258686573,258886892,21476153,15473566,15473565,21476150,256871301,39965955,31290896,31290897,257063783,32725632,25038356 Dl.O(d2) = 105639572,105639571,105639567,91413792,77483095,64319162,257784651,52451533,64319167,77483103,77483097,77483098,91413797,77483113,64319182,52451542,255660976,25404384,25404383,33144428,42098600,52451538,64319176,77483105,256639830,256124262,256124260,33144431,42098603,52451544,64319184,52451555,42098611,33144436,33144437,268491222,42098607,33144433,33144432,42098605,52451548,42098615,42098614,268295920,64319194,77483115,64319190,64319183,256639828,255660974,255258855,13403730,18814684,25404389,33144440,42098618,52451558,64319186,52451546,52451547,55244423,55244424,254443506,54626820,54626821,63000658,51321427,51321428,63000660,51321438,41137461,32323422,24708514,18237014,255622003,32323424,41137463,51321405,51321404,63000626,51321422,41137449,32323411,24708502,18237007,18237006,24708499,32323399,32323398,269455795,257101200,59320447,47928192,38014023,29451910,22118078,16004874,16004875,22118080,18237002,18237005,24708497,32323405,258754290,29670865,255464723,4715500,4715501,7462141,11242197,255464725,29670874,38236218,42136282,33178546,33178547,40198238,31512398,24012044,17664833,17664832,23147480,30564769,30564754,23147469,16886938,11815909,11815908,16886935,23147466,30564751,33178412,25434769,25434771,33178416,33178596,42136325,50220233,40198269,40198268,36490820,28028474,20861221,14959589,255360683,28028477,28028415,20861181,20861182,28028418,27223031,27223030,20861178,20861179,28028411,25438268,18842048,13424288,9178267,9178266,13424286,18842044,25438261,33183385,40198265,40198266,40252798,40252797,257197214,33183247,33178423,25434779,18839604,13422719,13422718,18839603,25434778,18842006,13424264,13424265,18842009,25438219,33183334,29610333,29610334,33178536,33178406,25434766,18839598,18839599,25434768,33178411,33178493,28753937,25434743,18839582,13422708,13422709,18839584,25434748,25434922,25438210,33178454,33178570,25434939,20861196,20861197,25434979,18839730,13422788,13422789,15488436,10710504,7075802,7075801,10710501,15488429,21494611,17704987,17704988,18839748,25434999,33178438,25434819,18839633,13422738,9177305,9177306,10292386,6766138,4240345,4240344,6766137,10292383,14959570,14959572,20861194,28028440,33178424,33178425,31565392,255581133,17704990,24059813,31565396,40252801,33178654,33178653,42136383,256126978,28753931,28753929,37287849,47196224,57697637,52493068,42136171,33178387,25434746,25434745,33178384,25434831,18839640,18839641,25434834,33178444,25434802,18839625,18839626,25434806,33178451,33178576,33178577,25434958,18839720,18839721,25434962,33178635,42136367,42136303,42136302,52493159,46348512,36490835,36490834,46348509,46763644,47196222,42136231,42136232,52493115,64365884,71320940,83835651,268406174,84403067,70845811,58131524,58131523,64365932,64365934,70845792,268227076,48163413,58599879,58599878,71332119,60118091,60118092,72855049,60118100,48723001,38801935,38801936,48723003,60118105,72855059,86450440,77533776,77533774,77533775,72855062,72855061,72284210,59549950,58131488,58131489,70391532,70391533,83917577,85876360,257537350,48163441,48163439,59550032,52072289,52072291,61989311,52828338,42424178,42424179,52828331,42424173,42424174,43059654,43059655,53538982,65529132,53540432,256735488,78865283,269088996,71948842,65165909,256142892,72697072,78365081,65529148,53503541,53503542,52828355,255677648,33702414,42424188,42424186,52828350,53494295,43015981,43015980,43024000,53503535,47809739,47809740,58789137,58789116,254935388,37493430,33431932,33431933,42424192,52828356,54641079,43897901,34625745,268497202,38651731,43016918,53495266,53181256,42731994,33702410,33702409,254931510,33431931,25662712,19043046,19043047,25662714,33431935,34004688,26162919,26162920,26127887,26127886,33966285,43016906,33959802,26122219,19428138,19428139,26122222,33959808,43016915,53495263,268301296,43023357,47401341,38109848,38109847,48019985,48019990,48019991,48567230,38651730,30075401,22694891,22694892,30075404,33432256,25662988,19043276,19043277,25662990,33432261,42424562,52828776,48567244,48567243,268752120,38643910,30068622,22689614,255421724,34289062,26413410,19677834,14106801,9703459,9703458,14106799,19677830,26413401,34289046,43388393,43023975,43023976,53503509,59959211,59959180,48567205,48567206,53912698,43388399,43388400,43388416,256658438,43388382,48567210,257553193,64675420,52760319,52760320,53912687,43388381,43388380,53545360,65570111,58284339,58284340,70999559,84563515,98486697,99364139,85421591,85421590,78905213,65570120,65570121,70971365,257082618,256029520,28511554,37010226,46889088,58255970,70971370,70999601,70999645,70999646,84563576,84533876,70999594,58284366,58284365,70999572,70971404,58255998,46889106,37010236,28511560,28511559,37010233,46889100,256763748,68133379,68133384,55735479,55735480,68133386,74772832,84563565,70999623,70999622,70999618,70999619,70481768,57781616,57781618,67799309,67799310,74772900,256142628,70481764,65966990,65966991,255677464,70481678,79330147,65966970,60656602,49255998,39329194,39329193,46426538,46426539,52798392,267933670,34277796,26402625,26402626,34277798,43376837,53900728,53900729,53900730,255677460,70481638,70481639,84015524,85477501,85477500,99418625,113420215,115205511,101127601,87129312,87129311,90874768,256643662,52067828,268144704,25128148,25128149,255261300,49357916,60761257,60761245,60761244,49909198,49909196,61389383,74169879,73510410,60761231,60761230,257198963,33196629,25450493,25450492,33196627,42156068,52514063,64387722,73252613,73252614,64582724,64582725,259031326,77555918,77555919,91486717,100015192,86051920,86051921,100015186,86051913,72453326,270327321,100015188,100015195,100015194,101127590,91486710,77765847,77765846,85411194,99354279,101127616,258841349,60761237,49357901,39428200,30823885,30823886,39428203,49357905,60761238,73510416,73252625,72453316,59717129,48331785,48331786,59717132,72453320,86051903,87129295,99354283,91693510,77765825,268768634,63602102,51814489,41535266,32647729,32647728,41535264,51814484,63602094,59103650,47705514,37784640,37784641,47705516,258097315,259346295,259998860,99354281,85428307,71842492,59103648,59103647,71842489,85428305,74727793,61934285,50443683,49304225,39376526,30775107,23351342,17083784,17083785,23351343,30775109,39376531,49304235,39376556,39376558,48647351,48647352,59053958,60043807,51743287,41474538,32597546,24935561,18423622,18423623,24935562,32597547,41474540,37599644,29051594,29051593,29170883,256453622,30359073,26914287,20030605,14347609,11984385,11984386,17072636,23338808,30296766,22898221,22898220,30296765,28049371,28049370,26915725,26915724,34997095,28155899,28155900,28155889,20976813,20976814,20976770,15065462,15065461,20976768,28155828,36629894,28155796,28155797,254369880,30359288,22957817,16721839,16721838,22957816,17009279,11923211,11923212,17009282,254369886,49211269,47724059,37802860,29239298,29239297,37802856,29793810,23342776,17076588,17076587,23342773,30765987,38097585,268633054,46977806,46452759,36586839,36586840,46452765,46977978,43354928,43354929,38882640,38882641,38053966,38053967,37094611,30790766,30790765,39393408,49321503,46452767,46452766,57808752,58347179,49184543,47967231,47967232,46977850,37094567,37094568,46977852,49179587,46977923,39400860,30797702,30797703,37761853,37761852,29490091,29490090,38053974,47967234,59358422,53879591,53879590,48805295,47967208,47967209,59358406,72092196,257020680,58347233,65946380,257036830,34254095,26376822,19643302,19643306,19643726,19643725,19643322,14079233,14079232,9684245,6369890,3997017,3997016,6369885,9684232,9684312,9684313,9684367,9684165,9684166,14079521,17083001,17066774,11976541,11976540,17066772,12398693,12398694,17570591,255361150,18665455,18665454,22708574,16504548,267941098,1691882,1691883,1691800,1691803,2916416,4839785,7649496,7648983,7648986,4841800,2917716,2917714,4505691,2707642,2707646,2708322,2708327,2708585,2708586,2263120,2263125,2263159,2263163,2263376,2263379,3778667,6040119,268505454,258412075,61472353,68890877,56379208,56379209,60205197,72945011,86544820,77257412,64110893,52262127,41923779,32983412,25260023,18688451,255649421,32983417,41923787,48141318,268635891,16167010,255464055,29664811,38231078,37265829,37265830,257451023,70749918,58035695,46662996,46662997,269004445,31642971,24136268,17772389,12577328,8530638,8530639,12577332,17772393,24136271,31642973,40331790,50358758,61842695,59528434,48141322,38231076,38231075,48141320,51935764,63746378,74634779,257675357,268687935,24136267,31642969,36777656,28281577,28281578,256100187,18504517,13146934,13146933,18504516,25038361,256012349,17471117,256517257,41632349,41632350,51935753,63746370,51935754,41632352,41632353,51935756,258371311,88175432,258686573,258886892,21476153,15473566,15473565,21476150,256871301,39965955,31290896,31290897,257063783,32725632,25038356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072274, s2 = 14086392, dlinesl.size( ) = 2 s1 = 14072274, s2 = 14086392, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14072274, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10340130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9806963, s2 = 9798106, int(edited[s2]) = 0 s1 = 9806963, s2 = 9798106, d1 = 0, d2 = 0 Dl.O(d1) = 12181251,17303565,23617028,23313145,23313146,23617383,256502779,48538112,38623333,38623334,48538113,59931117,49256782,49256783,60657245,61278415,49799660,49799662,49256673,39330048,30731753,30731752,39330047,38022443,29460431,22125953,22125954,29460433,31871114,255487472,12723832,8645754,8645753,12723830,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208079,39407420,39407342,30802718,23375043,255981271,31101554,31101555,25455815,25455816,33202716,33208210,25460444,18860438,13437672,13437671,18860435,25460436,33208202,39407272,30802664,23375002,17105578,12019725,8079025,8079026,12019728,17105586,23375016,30802688,33207919,33205115,33205114,33207246,33207247,30802630,23374985,23374984,18860377,13437630,9187153,9187154,13437634,13435298,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746345,1307283,2252511,3760179,6012200,9186008 Dl.O(d2) = 12181251,17303565,23617028,23313145,23313146,23617383,256502779,48538112,38623333,38623334,48538113,59931117,49256782,49256783,60657245,61278415,49799660,49799662,49256673,39330048,30731753,30731752,39330047,38022443,29460431,22125953,22125954,29460433,31871114,255487472,12723832,8645754,8645753,12723830,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208079,39407420,39407342,30802718,23375043,255981271,31101554,31101555,25455815,25455816,33202716,33208210,25460444,18860438,13437672,13437671,18860435,25460436,33208202,39407272,30802664,23375002,17105578,12019725,8079025,8079026,12019728,17105586,23375016,30802688,33207919,33205115,33205114,33207246,33207247,30802630,23374985,23374984,18860377,13437630,9187153,9187154,13437634,13435298,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746345,1307283,2252511,3760179,6012200,9186008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9806963, s2 = 9798106, dlinesl.size( ) = 2 s1 = 9806963, s2 = 9798106, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9806963, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14137441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9834163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9834163, s2 = 7705390, int(edited[s2]) = 0 s1 = 9834163, s2 = 7705390, d1 = 1, d2 = 1 Dl.O(d1) = 763848,1337249,2304357,3845623,6145665,9380987,13697440,19180848,25833923,33637000,42666805,53118981,65105843,78389424,92426611,106732522,120985291,134781867,147900463,160149543,171369384,180956409,170834181,159503304,147141826,133917414,120074168,105861555,91653476,259109216,257861964,42258899,33279214,25519002,18909314,18909313,18909315,13477638,9218930,9218931,13477639,18909316,25519004,33279215,257205169,52644484,258411819,77725764,91653477,105861556,120074169,133917416,273204956,180956410,262643147,139634396,261725076,70925173,58207790,46839669,269811094,28460611,21236039,15267267,254725127,4365689,4365688,6947411,10534571,255180142,13502893 Dl.O(d2) = 763848,1337249,2304357,3845623,6145665,9380987,13697440,19180848,25833923,33637000,42666805,53118981,65105843,78389424,92426611,106732522,120985291,134781867,147900463,160149543,171369384,180956409,170834181,159503304,147141826,133917414,120074168,105861555,91653476,259109216,257861964,42258899,33279214,25519002,18909314,18909313,18909315,13477638,9218930,9218931,13477639,18909316,25519004,33279215,257205169,52644484,258411819,77725764,91653477,105861556,120074169,133917416,273204956,180956410,262643147,139634396,261725076,70925173,58207790,46839669,269811094,28460611,21236039,15267267,254725127,4365689,4365688,6947411,10534571,255180142,13502893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9834163, s2 = 7705390, dlinesl.size( ) = 2 s1 = 9834163, s2 = 7705390, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9834163, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7937504, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 751064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 751064, s2 = 8572886, int(edited[s2]) = 0 s1 = 751064, s2 = 8572886, d1 = 0, d2 = 3 Dl.O(d1) = 19117678,13649521,9346692,9346693,13547974,13608258,9318171,6103922,6103923,9318174,9330081,9330082,13625489,19084491,16266018,16266017,13623121,9328448,6110518,3823361,3823362,6110520,9328449,13623122,13543172,9271436,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331130,2294206,3829321,6120439,9344191,8500616,8500617,9344588,9344601,9344599,13646571,13564399,9287225,6083957,3806856,3806857,2887946,2887945,4791033,7575032,11400115,8095444,5186354,5186353,8095439,12041979,17135210,13630995,9333763,6113784,6113785,9333768,13631008,19073266,13616649,13616648,19073263,25656710,19038217,13590007,13590008,13590032,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,13593284,9307696,6582543,6582541,10015229,14555252,14554995,11308411,7507912,7507911,11308406,16264865,18092430,24523674,19041150,13592273,9306987,6096590,6096591,9306990,6125289,6125290,9351494,9351496,13656270,9351466,6125263,6125244,3832430,2296161,2296160,3832424,6125231,9351408,13656174,19126305,23765524,17437586,17437584,12372832,12372830,17541782,18581664,13204890,9001712,9001699,5876722,5876725,4124194,2467296,1426214,1426213,2467291,4124177,6582469,10014980,10015216,14555230,14555588,10015412,10015410,12470227,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508054,11308693,11119404,7375318,7375319,11119414,13669869,11307883,11307880,16264051,19009810,22432789,16265132,11308569,7507992,7507991,11308560,16265115,22432772,22433097,29799579,31759683,255803406,59670352,72405727,86001902,99960557,259133542,141219669,153891326,153750636,141081802,127729270,113856933,99839990,256439576,59559222,255115080,31542028,31542029,40228417,50248257,61726638,74507511,88118578,102104946,116161494,130069189,143398946,155938987,167550878,178019011,187264555,195314040,202196911 Dl.O(d2) = 224962130,226997147,228159327,226310478,265543258,215503560,211412215,206407024,200355406,200355404,200355405,193192051,262661638,175287085,184845796,262661638,164516014,152671511,139972863,259931158,98773527,269783956,58541183,47152789,37247466,28716524,21460680,15460621,10690056,7062170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 751064, s2 = 8572886, dlinesl.size( ) = 2 s1 = 751064, s2 = 8572886, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 751064, Dl.E( ) = 6, 6.2e-06 seconds used appending s1 = 7881790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8104280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8343308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9432773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8043091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8043091, s2 = 9508894, int(edited[s2]) = 0 s1 = 8043091, s2 = 9508894, d1 = 53, d2 = 87 Dl.O(d1) = 27283485,27283487,35409026,44834364,39751431,31073768,23590475,20274473,14998029,14998027,20902675,19118951,19118952,25757421,33546103,42562399,42314408,33333976,33333975,32212678,24621031,18170037,12886105,12886103,18170030,24621021,32212668,40996744,39158009,31133279,23645576,17328717,16883735,16883734,23143770,18965881,13530523,13530522,18965877,25574510,33334027,41131277,32317714,25805632,19158666,13680671,9368602,9368600,13680661,13910941,13910943,19440412,19440422,19440424,26136294,30561002,25574980,18966163,18966162,13650471,13650469,19118956,25757432,25805872,19158787,19158789,25757404,25757405,33546089,42562383,39815801,31133237,23645556,23645557,31133244,39815821,32160193,32160192,35207679,38514021,33334658,33334101,25574552,18965897,13530528,13530527,18965893,25574542,30560726,25574435,25574436,33333929,33603073,25805639,25805638,33603004,42627650,33603035,33603036,42314469,52701610,48736314,48736315,49087712,39158088,33334712,25805649,25805650,30443892,39033230,47541221,47541219,39033263,30443910,30443908,39033254,48955319,42562458,42562459,49087541,39815790,39815788,39815812,49839397,49839394,52702566,42315283,42315284,48421115,52701673,42314514,33334068,25574532,25574531,33334062,42314503,52701645,48946364,48946365,52701827,42314645,42314649,42627708,42627709,46882200,37003389,30434125,23027748,16785406,11736220,11736221,16785413,23027760,30434154,39023678,48946460,58249794,58249793,58249718,46882487,37003561,37003560,46882483,46882512,46882514,58249766,49087719,49087717,46882678,37003676,37003675,46882671,48100365,59488909,59489000,59489001,48100440,48100438,49839330,49839329,60356328,48960537,39039091,39039090,48960534,60356323,59488932,49839320,49839319,52300584,46882171,37003368,28505439,21286514,21286515,23027776,23027778,30434091,30434092,39023573,48946334,46882086,46882087,37003595,28505569,21286576,15322290,15322287,21286566,28505554,37003569,46882504,58249262,58249263,59488997,59488995,59488969,48100408,38188586,38188560,38188558,48100358,59488914,59489043,48100467,48100466,58566125,71298146,84872632,76452515,63408617,63408616,76452551,76452471,76452470,90282559,84529163,70965781,58249432,58249431,51665187,51665188 Dl.O(d2) = 98781816,259931739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 6613350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6613350, s2 = 13252284, int(edited[s2]) = 0 s1 = 6613350, s2 = 13252284, d1 = 4, d2 = 8 Dl.O(d1) = 256543818 Dl.O(d2) = 4311574,6869578,10420536,12628898,17834544,24099525,17786213,12588653,8540746,8540747,11147645,11147637,11147636,16054949,16893002,16893001,23154264,30571970,39170212,40326682,31637287,31637288,31665711,31678432,40371907,40289531,31605997,24103352,17744798,17744800,254192676,24206686,24206684,25544656,18931722,13496484,9233652,9233653,13496486,17709421,12579522,12579521,17774899,24139166,31645902,254191952,11587045,11587044,254174208,23154306,16893046,11821313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6613350, s2 = 13252284, dlinesl.size( ) = 14 s1 = 6623469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6444998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6444998, s2 = 534498, int(edited[s2]) = 0 s1 = 6444998, s2 = 534498, d1 = 7, d2 = 0 Dl.O(d1) = 254508866,36730970,254228962 Dl.O(d2) = 13592108,256660115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6444998, s2 = 534498, dlinesl.size( ) = 2 s1 = 6444998, s2 = 534498, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6444998, Dl.E( ) = 54, 2.98e-05 seconds used appending s1 = 9800699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13174557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13174557, s2 = 11667643, int(edited[s2]) = 0 s1 = 13174557, s2 = 11667643, d1 = 49, d2 = 69 Dl.O(d1) = 257314854,23366866,23366867,23366868,30793030,39395751,42150100,33191440,25446242,255503808,11769064,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,11770633,16831934,23084816,23996415,23996414,23996236,17652520,17652521,23996237,25892118 Dl.O(d2) = 28780367,21517334,15506527,10724055,10724057,15506533,17433499,17708388,17375885,12344071,12344070,12311552,12213946,8244417,5316108,5316110,3443487,3443488,5489068,8488062,12242392,12237451,12237454,12239787,12239786,17371858,17371539,16737879,12239929,8314149,5364704,5364706,8314155,12227823,15851955,10986312,7272273,4586166,2759147,2759148,4586171,7272282,10986322,11674235,7783176,4933443,2976331,1727404,982002,552901,552900,981997,1727387,2976294,3290290,3290294,3279794,1929189,1929188,3279788,5335551,8269015,8256610,7968807,7968809,8265539,5332938,3278047,1928111,1101631,618297,343628,343625,618283,1101586,1928023,3277876,5331923,3277361,3277362,5331930,8264197,12229423,12229424,8311435,5362965,3296886,3296884,5362956,8311410,8288737,8269836,8269835,12244598,12242803,8268143,5334927,5334925,8268142,12242807,17370585,12240367,12240368,16164365,255168187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13174557, s2 = 11667643, dlinesl.size( ) = 2 s1 = 13174557, s2 = 11667643, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13174557, Dl.E( ) = 76, 3.5e-05 seconds used appending s1 = 7819118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7819118, s2 = 10560766, int(edited[s2]) = 0 s1 = 7819118, s2 = 10560766, d1 = 97, d2 = 140 Dl.O(d1) = 42276212,254833390,18922536,18922537,25533483,19788586,254261380,9744378,11738784,11738786,267770466,30437836,30437834,23031171,23031172,26593982,26593981,33706696,25900470,23031176,16788470,16788469,23031170,25900475 Dl.O(d2) = 224469350,222057749,219249481,261237086,206984493,201029866,258821782,185724973,193967745,201029864,206984490,211903298,215922901,219249476,222057740,219249468,219249469,222057737,219249466,215922891,215922892,219249469,222057741,224469345,262294512,215922910,211903304,261237088,215922910,211903304,206984495,201029866,258821782,176273461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7819118, s2 = 10560766, dlinesl.size( ) = 56 s1 = 9697572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8114027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9721846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9721846, s2 = 1971522, int(edited[s2]) = 0 s1 = 9721846, s2 = 1971522, d1 = 15, d2 = 18 Dl.O(d1) = 81121137,95179562,109435701,123629174,137361348,150402584,162532915,173565683,183362043,191926060,199293204,205526363,264685583,214894543,218360309,221272614,221107419,218163790,273633838,210387376,205165871,198861242,191416432,182764802,172866173,161708181,149417029,136167155,122204407,107799281,93377349,79250175,65886575,53818695,53818694,65204907,53219006,47950346,47950345,38337315,29766410,29766411,37563975,47470887,47950340,38036744,29473858,22137319,22137318,29473856,33300808,256134415,25538705,33300819,34195968,43293582,39281986,30685028,23268200,23268201,30685030,25538742,18926639,18926640,25538745,256305268,28418001,36915820,46793589,41954017,39530683,30920209,30920211,33300872,33300873,42282201,42282142,33300810,255515498,13492787,13492788,18926619,25538707,25538759,25538758,33300844,25538724,18926631,255669507,33300842,33739293,42769239,42282172,33300837,25538718,18926625,18926626,18926632,25538726,18926645,13492805,13492803,18926641,25538746,256650801,42282185,33300854,25538732,18926635,13492800,9231256,6045786,3782775,3782776,6045790,9231261,13492812,13773860,13773859,19270001,25538710,25538709,33300827,42282158,42629806,53077313,53218978,52669334,42282186,257206826,25538722,18926629,13492796,13492795,18926627,19269997,25538717,255265803,9231252,9231251,13492790,18926622,25538711,33300829,33673405,25867497,19209761,19209760,256157911,256650803,25538754,268749265,33300839,33300800,33300799,39281976,30685024,23268198,17004565,17004564,19605294,19605295,19566301,19566300,26288439,26638233,19826169,19826168,26074034,26041061,26041060,33862846,26041055,26041057,26231455,19515521,19515520,26231453,19826044,14202046,9762869,6418991,267943979,14202049,19826047,26638042,34627831,26638036,26153696,19454672,19454670,19454661,13922190,13922191,19454666,19323408,19323407,25994840,25866764,19669831,19669830,255728301,19826968,19826969,19209456,255691337,13735115,13735113,19227020,25887008,33693772,25994839,19323406,19227046,13735140,9409681,6165163,5855740,5855741,7897787,7897786,11819526,16890785,13720535,13720536,19209275,19209862,19209863,19209002,13720274,13720273,13734729,19226535,25886509,27964433,20802105,14908204,14908203,19227027,19227026,24200026,24200027,23782392,21821340,18665164,16087189,16087190,16087440,17898010,24278426,31792148,40487225,33862359,255589368,13849197,13849196,19362061,26040540,33862356,42907789,47837174,38087455,38087456,42788636,254874056,31199840,23711851,17901532,12681259,12681260,16054240,11147173,11147172,16054238,22180446,19361964,19361963,26040447,25675621,25463050,18862763,255262168,29523019,22180461,16054257,11147189,7393582,4670980,2814203,2814202,4670979,7393580,11147182,16054252,11406696,11406694,16389004,21819337,21819338,25887271,22180475,22180477,21849273,15778487,10929890,10929887,15778483,21849271,29157712,37717716,42907725,40416450,33696186,33696187,33693976,25887265,25887264,33693974,40106543,40491331,33672975,33672976,256432940,23935823,23935822,31426776,257075497,42897367,53363414,53106762,53106761,256976444,31426851,31426852,40106587,50126697,61606672,53293898,42837424,40106589,256432944,23935874,23935875,31426842,40106574,50126678,61606711,60861798,53363417,53363416,49458812,49458800,39525161,30914670,30914672,39525172,42890642,53355367,258453067,64213700,77258202,77258190,258732992,64111541,64111542,77258181,258918374,65734898,53678867,256555098,256697165,53678864,258468479,65872546,65872547,55459346,44610987,35229952,35229951,44610984,49458707,49458706,41924339,32983939,25260527,18688997,18688998,25260528,32983941,41924346,36554653,36554650,46417878,52364668,64213702,60861722,49458721,49458722,60861724,52262681,52262682,64111538,77258178,73611852,60861729,49458727,49458728,55459342,67800899,70566497,57864789,46508715,36641427,36641426,46508717,57864792,52255570,268906814,32977140,41917307,34183375,34183374,256912638,30280472,38865972,48787897,49458713,256492597,30914577,39525065,49458711,39525068,30914582,30914583,23477760,23477759,30914594,39525076,49458719,60861721,62616030,50994671,50994670,60691884,57713073,256811861,36505448,36521860,28056665,28056664,36521858,46381372,39525072,30914591,23477757,17195276,12091359,12091360,255541369,30914598,39525081,49458724,60861725,52364669,42026558,33082411,33082412,42026561,39525233,30914711,23477845,17195338,17195337,19598292,255714531,29438582,34197888,26325092,26325091,34197887,36585071,46450821,37714216,34197892,26325097,26325096,20935772,20935770,28112567,36585064,46450815,57806713,70507917,71780828,59038803,47636766,37714292,29153720,29153719,37714309,40860389,32089649,32089648,40860387,47636614,37714155,37714156,47636616,47636689,47636690,258009637,46450801,46450800,53690510,53820385,47636755,37714279,37714280,37714193,37714191,47636644,59038690,71780797,59038689,59038688,55660285,44751942,35325552,27201380,27201379,35325550,44751939,55660283,52347261,52347262,43295053,43295052,53819977,53819952,256456740,26324645,26324644,34197425,43294567,43294566,256325216,43295324,53819416,58466035,47087916,37192185,34197429,34197430,34196984,26324296,19597647,19597645,26324295,34196982,34196842,34196841,43293547,34197711,26324944,26324292,26324293,34196783,34196784,29890801,255486404,34195956,268384028,34197504,29890800,29890799,22536121,16362016,11386500,7564747,7564748,11386502,16362020,22536126,19598066,19598065,26324803,34196839,34197580,34197581,34196860,26324202,19597583,19597584,26323404,19598059,14042403,14042402,19598057,26324789,26324995,26324948,19598188,14042503,14042502,19598186,16247820,16247821,22411744,26324982,19598210,268076156,9655256,9655257,14042413,19598072,255423238,37238534,255423252,34195960,26323426,254745848,9654691,9654692,6348883,3983461,2387415,254310785,6348881,9655334,6348895,3983470,2387422,2387423,2387424,2387425,3983475,3983409,2387389,254121408,786246,1382073,2387394,3983419,6348808,255304337,26324760,28707909,28707910,37238536,43293568,34195957,26324309,19597656,14042118,14042117,255423254,26324685,19597972,14042533,254509406,26324105,19597489,14041986,14041987,19597492,19597485,15454555,10685433,10685431,14042566,19597870,14042240,9655132,9655134,14042242,19597874,19597234,14041799,9654839,6348556,3983268,3983269,6348559,9654845,14041785,19597214,19598320,19597496,14041995,9654972,9654973,14041998,19597450,14041958,9654942,6348618,6348617,6348505,6348506,6348943,9655421,14042495,14042494,16604649,14041768,14041769,9654856,9654854,14041821,19597128,14041710,255304287,26323668,34196223,43293833,53818923,65886856,79250491,93377716,107799677,260951677,261518333,161708325 Dl.O(d2) = 203968641,197441395,189773527,262930988,159387202,261435692,260867482,105644783,91418764,77488122,64324305,258339190,53186875,53186876,65171732,70418827,70418828,79305459,75428941,62510246,50909862,50909861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9721846, s2 = 1971522, dlinesl.size( ) = 12 s1 = 9799529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1204768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1037987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1038268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1038268, s2 = 684763, int(edited[s2]) = 0 s1 = 1038268, s2 = 684763, d1 = 13, d2 = 11 Dl.O(d1) = 26244330,19526945,13979864,268145764,6305468,3951414,2366176,2318031,1344033,1300017,1300015,1370015,2341571,2341572,3910924,2368088,1370837,1370838,1370165,1370167,1391632,1391633,2404916,4012907,6394732,9720894,10650487,10650488,9655988,6349385,3983827,2387632,2387630,3983817,2394776,2394778,3996175,6368570,9422321,6198768,3879828,3879829,3989729,6279403,6198491,3930535,2353118,1386472,788533,788535,1386444,1352779,771653,438370,438368,441964,771652,438370,438368,441964,771921,438483,438480,441874,778851,786644,1382779 Dl.O(d2) = 1370019,2341564,2341566,3910911,6247122,9524266,13882019,19405061,26094353,33927590,26170819,24053289,17699480,254651802,26094071,19519508,13972706,9595122,9595124,13972712,17488652,12330871,12330867,13972714,13972717,19519540,26236415,31315110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1038268, s2 = 684763, dlinesl.size( ) = 2 s1 = 1038268, s2 = 684763, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1038268, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 9701190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8319862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9374447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14044805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9804409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9514294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13470611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7909700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7909700, s2 = 11075265, int(edited[s2]) = 0 s1 = 7909700, s2 = 11075265, d1 = 4, d2 = 3 Dl.O(d1) = 256944902,23346468,23346467,30769474,29314887,29314888,31646240,24139665,24139666,30767088,30767085,26579355,23451391,23344055,17077854,17077851,17077991,22447908,19773787,14163530,14163531,19773788,19776739,19774376,14163875,14163876,19774382,26576846,26576919,24848635,24848634,19780945,19780944,26585015,23346153,17079389,11992001,11992000,8044084,5134250,3121565,1824471,1824472,3121546,5134216,4017863,3121525,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,11991931,11991934,17079273,15393999,10639008,10639010,7023505,7023503,10639027,15394030,21375282,23344997,17078554,17078552,23344988,26585479,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163510,14164595,19775508 Dl.O(d2) = 26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163510,14164595,19775508,26577372,34563202,26576342,26576343,19774326,19774325,23346186,23346185,30769216,34572069,29314861,29314862,23346724,23346722,21464624,15463793,15463792,21464622,23347570,23347569,26579441,34565939,30771041,30771040,26576964,19774465,14163927,14163928,19774469,26576973,21121087,19776105,19776106,23347717,23347716,19775001,19775002,15061337,10386168,6844754,6844753,10386167,15061334,20971559,28149638,30769608,23346603,23346604,30769610,30769027,23345941,17079222,17079221,19780838,19780839,26584885,26584975,34562709,34562708,30423781,23018665,16778228,11730967,7831887,7831886,11730963,16778220,19781024,26585124,26584743,19780715,19780716,26576668,19774278,19774279,24139679,30767088,30767085,26579355,23451391,23344055,23344054,23344261,23344260,30767437,39368850,39370130,256374942,43835952,34563221,26576371,19774017,19774015,16901690,11827988,7904506,7904505,11827987,16901689,23164110,19679758,19679639,15889628,15889631,21985939,26415888,26577877,29254273,28835821,28835824,21985699,21547957,15530043,15530044,21364041,21364039,21042832,21042830,28241636,31802959,31802958,37108111,28599615,21366494,15387039,267786554,2647265,254499423,267883467,2668817,4442899,7057207,10683182,15451248,21448172,28700345,29646588,38213146,37817060,29251824,21931013,21931012,29251822,33088184,28716440,21460601,15460566,10690008,7062123,7062124,10690010,15460570,268615057,267893660,24538946,18105351,18105350,24538945,26387601,23397103,23397104,28491283,21274761,21274762,28491285,36988220,34001079,34001080,43058641,43058640,36823265,28327682,21117563,15171036,10463213,10463212,15171034,15892674,11017459,7293912,7293911,11017456,13749377,19243546,25904465,26124819,19430356,13928582,9560221,9415330,9415329,13742208,19234746,25894465,33700475,255208978,19460440,19460443,26160250,21989585,15892701,15892700,21989580,19460103,13926561,13926562,19460104,257845983,60868249,73618789,269482506,49464967,60868249,73618788,269482506,49464967,60868249,73618789,269482506,39531406,39531405,39531414,30920824,268247401,255541903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7909700, s2 = 11075265, dlinesl.size( ) = 2 s1 = 7909700, s2 = 11075265, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7909700, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 8300104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8117940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 395756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 395756, s2 = 16294553, int(edited[s2]) = 0 s1 = 395756, s2 = 16294553, d1 = 118, d2 = 75 Dl.O(d1) = 10011039,6579790,4122452,4021744,2409779,1394333,1394335,2409789,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331 Dl.O(d2) = 256722065,54614084 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 45314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 607058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7586963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14096241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8171208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13373339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13373339, s2 = 14165600, int(edited[s2]) = 0 s1 = 13373339, s2 = 14165600, d1 = 5, d2 = 0 Dl.O(d1) = 33566441,25776758,19136175,255686005,33566297,33566460,33566461,42583607,53023863,53024024,53023975,53023976,43895079,43895076,48304641,38394158,38394159,48304643,59691552,66895543,66895542,76942170,71978389,59240825,59240826 Dl.O(d2) = 9843065,6464728,6464727,9843063,255301086,26887804,27967154,20804563,14910190,254932066,4220838,2523639,1454315,1454313,2523634,4220824,6263548,6263546,9072312,9072311,9697521,9563866,6275810,3929645,3929643,6211818,6211821,6275856,6275854,6275426,254302812,9542887,13639225,19103238,25736126,33515641,42515646,49965866,257645147,47034681,37145679,268382274,15407868,15407869,21392833,255827742,47034688,58407159,71124985,84689276,98613835,112608875,126477285,139848436,152561792,164420396,261648240,271768584,98613828,98613817,259916476,84689261,84689262,98613822,112608860,98613812,84689250,84689251,259916474,98613819,112608852,98613804,84689246,84689247,98613806,112608853,126477268,126477277,261653037,164420395,175204481,184774892,193131799,200303624,200303619,193131795,193131796,200303620,200525020,193377517,185048347,175509802,164758582,152928603,140238751,140238752,152928599,140238746,126890931,113038115,99049965,85125113,71554477,71554478,71554482,85125111,71554487,58826579,58826578,61362857,49881311,39858330,31175771,31175772,39858334,49881316,61362865,64769882,61362860,61362861,74143464,71554433,58826525,47439885,37531741,28986964,28986965,37531744,47439890,58826529,71554437,71554466,257678796,58826558,71554465,85125104,87114767,87114768,101112845,113038096,126890919,115190991,115190992,126189938,112329444,98346351,258375830,58165583,46798233,42147396,33188042,25442541,25442540,33188038,33188014,33188013,36920405,32467956,24828829,24828828,32467951,41313011,51533541,51209885,41052953,32258860,24658564,24658566,18774892,18774893,25357222,31630303,40318403,48216416,38306671,38306669,256043092,32258799,24658509,18199613,18199611,24658501,24222678,24222681,31730727,40424405,40447306,40447307,41313805,39256701,39256703,46213571,36383190,36383188,46213579,52381869,64237919,62859797,51209909,41052971,41052972,51209912,51210170,41053154,41053155,51210173,59461411,50462230,40424790,31731027,24222873,24222872,31731024,40424784,50462222,41313019,41313018,51533550,63249875,62860243,62860245,51781428,51781429,63564167,59766456,50461929,40424437,31730751,24222692,17851445,12642084,12642083,17851442,24222688,31730739,29920800,29920801,38480791,48383446,59766423,59765791,57528898,57528899,48523982,48523981,59917535,72657540,61956400,50460439,40423015,40423014,50460435,59766371,60156166,72892246,61958062,50462210,40424775,31731021,31731020,40424774,50462207,55693193,44785737,44785738,55693196,68091247,61333068,49849932,39826281,39826279,49849925,48383506,38480837,38480836,48383502,50461927,50461926,59766428,48383459,48383458,38480803,29920809,22561575,22561576,29920813,38480810,41053023,48382467,47195894,47195893,38608495,38608496,48383172,41052809,41052806,43863888,43863887,41053019,32258902,32258900,41053010,51209959,59766005,48382771,44785727,35361675,27238805,20308597,20308598,27238808,29920746,29920747,38480710,38480514,38480513,48383179,59766252,59765630,48382228,48382229,38480839,38480841,48383517,59766111,58000043,46623949,36735798,28240747,21041850,21041849,22349706,22561051,16381904,11401213,11401211,16381898,22561043,29920079,38479823,35362005,29920621,29920620,27239039,27239038,35362030,38479953,48382598,55693246,55693248,59766012,48382778,38480146,29920318,27238827,20308610,14574318,14574317,20308605,16382275,16382274,22561552,29920761,38480518,44480113,55326195,48383364,38480706,38480705,48179492,48179495,48382928,59765739,48382387,48382388,38480201,38480203,36735788,29920405,29920083,29920084,29920175,22561105,22561108,16381937,16381936,20308730,20308714,14574369,14574364,14574362,20308703,27239003,35361973,44786086,49029078,49029076,48383121,48382639,38481004,29920961,29920524,27238843,27238842,35361684,28851674,28851676,22561540,22561537,29920727,38480685,38480650,38480651,44785825,44785823,48383222,48383666,38481038,38480365,29920500,22561370,16382124,16382123,22561363,29920484,38480344,38480440,48382855,59766059,59565798,55367434,44521393,39934934,31259894,23774876,23774877,31259900,28990714,21706538,15664745,15664746,21706543,28990722,37535717,47443739,58829728,58691436,47443695,37535668,28990692,28990693,29920606,38480483,48383145,58825707,55693543,44786186,44786187,55693547,47443654,47443655,58829675,71557108,59766557,48383659,48383658,59766554,59766134,48382999,48382978,38480338,38480337,38909561,30322560,30322559,38909558,48831021,60226659,49029209,39100262,39100264,49029212,39934925,39934924,47443703,37535674,28990698,21706529,21706530,28990702,37535680,47443707,58829708,61429466,49952041,49952040,47443681,37535662,37535663,47443684,47300993,47300994,58691499,47443688,47443690,48382668,38480034,38480035,48382674,48830048,60226023,67707088,55367418,44521385,44521384,48179823,38909570,30322570,22921800,16687766,16687767,22921804,30322576,38909579,39100277,31259938,31259941,30504129,23089884,16835730,16835729,23089882,30504137,30321812,30321811,30324149,22923328,22923327,254367790,21166593,21166595,28384559,36881123,38908276,35311459,27191786,22921313,22921314,22921323,30321756,22921255,22921256,30321765,30321929,23852311,17509614,17509612,23852303,31345773,40025643,50045645,47634695,47634696,55464344,44615595,35233980,35233981,44615597,55464347,49029151,39100170,30504113,30504112,39100166,49029149,50227015,40205391,31519106,31519107,31519098,24017561,24017560,31519093,40205373,50226996,61707956,59951653,59951652,68015593,59951675,59037183,47635000,37712673,29152363,21843954,21843953,29152357,23826028,23826027,31315303,39992144,50010156,59036943,60225874,60226080,59036951,47634712,37712454,29152212,21843878,21843879,29152220,31345802,23852318,23852315,31345795,38247295,29682424,29682422,37412815,38691666,30115734,30115735,22734776,22734775,22734774,255933161,38691725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13373339, s2 = 14165600, dlinesl.size( ) = 2 s1 = 13373339, s2 = 14165600, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13373339, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 14246529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14246529, s2 = 14292133, int(edited[s2]) = 0 s1 = 14246529, s2 = 14292133, d1 = 30, d2 = 26 Dl.O(d1) = 60423205,49019343,39089571,30492823,23079220,16827078,16827079,23079221,30492825,39089574,49019347,60423207,73169924,61464599,61464600,58639812,47246691,47246690,58639810,71376127,72636260,59894025,48499974,38585113,269943328,50293441,258280303,59894020,48499971,46785576,46785577,256736201,26895346,20013830 Dl.O(d2) = 7695665,7695666,254545479,2934841,1702078,1702077,2934839,4870303,7695668,11562953,16582680,22799609,30189356,256384999,29491899,38055956,47969215,59360220,270877294,257561889,38762863,38762864,256437135,22790544,255113125,7689349,4865892,4865891,4869210,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555737,16574611,15021522,10349112,10349111,11431183,11431184,15930650,15930645,11619803,7738381,4899588,2952938,2952937,254548995,7603294,11409980,7581974,4795653,2899153,2899152,4810360,7603604,11435638,16419564,16412544,11428268,7697105,254787321,254787323,11442704,7609162,4813841,2901045,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416192,14469957,14469964,255333391,11439029,7606439,7606440,7620315,10347414,15019822,16434472,11449617,7615024,7615025,11449619,15930168,11053265,7328853,4629714,254521379,4905648,7746725,11629325,15172247,16404454,16404455,16405042,22587587,16413717,11429555,11429554,11420696,11420697,11613310,7732962,5684317,3535975,2104655,2104656,1680139,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404476,2427806,1685836,958506,958508,1685866,2904166,2904165,2645090,1684713,957931,539772,302477,302478,539782,957960,1684759,2904336,4819550,7617376,11452383,7854827,7854826,255130263,23076772,30490079,39086557,49016022,60419669,73166270,258816071,73166273,259440345,114812942,128713683,128713684,142073424,128713677,128713678,127698904,113829337,99814074,258754248,258754415,259379335,85860641,72268871,59534812,59534813,72268872,72267202,72267203,85858906,99812180,99629626,85680406,72093722,72093723,85680408,99629628,113643386,119775946,119775945,133645875,146899351,151984312,151984313,139277386,139277385,139277389,125928026,112094013,98134294,84239749,84239750,98134296,112093989,125928004,139277367,151984310,159270274,151984308,139277363,125928002,112093986,112093988,116443564,102350465,102350466,116443565,130280437,130280438,143607845,149876757,151006593,138165924,124656661,110661918,110661919,124656663,260439909,260439907,96563159,96563156,258941038,45416173,45416172,35814199,27556292,20532621,14729215,10128704,10128703,14729213,20532616,27556283,35814189,33151260,33151259,28723174,28723173,25410656,18819528,18819527,19184302,13700462,13700463,19184304,25837629,33640678,42669883,53121112,60097774,53873914,43348702,37255715,31959573,31959574,38027186,34248723,34248722,35814219,27556305,20532630,14729220,14729218,20532626,27556297,35814204,41379589,41379588,51605069,61911213,50420982,40386749,40386748,50420980,40386746,31693557,31693558,29431881,29431880,37994164,256051712,34248439,28431525,21207605,21207606,27956396,20794937,20794938,27956398,36414529,37765690,34248641,34248639,36414526,36414525,46267206,51000054,51000053,48519288,48519290,52398078,43869706,43869559,43869558,34599394,34599392,42670077,33754545,33754544,26612195,19804115,14185558,9751718,9751716,14185554,19804108,26612180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14246529, s2 = 14292133, dlinesl.size( ) = 5 s1 = 10340974, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14146545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8372490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8372490, s2 = 10168616, int(edited[s2]) = 0 s1 = 8372490, s2 = 10168616, d1 = 30, d2 = 29 Dl.O(d1) = 73329490,73329491,73329493,73329494,257025860,86431604,258836658,71139291,66849501,54590854,54590853,268973526,86939973,86995204,86939962,73329489,73329488,73329492,86939958,73329507,60585325,60585324,61351118,55202089,55202086,63244500,73379885,258213942,66849519,66849520,258213946,108622818,100922282,100922278,269372600,66849521,257606406,258213938,52383488,52383489,61351120,61351121,52383505,52383504,64239617,77390498,258292550,77390549,64239667,52383544,42039533,42039532,52383542,258395355,64239657,77390540,258395351,64239655,77390537,90640600,76774808,76774809,270494775,63680787,51881659,51881658,63680785,74793917,76262525,90073712,90640585,85373042,85373043,90640588,76774796,63680750,51881633,41587795,41587796,51881635,258368239,41587793,32689367,32689366,41587791,47640127,37718117,37718118,47640128,269798501,77871564,64681626,258420887,77390486,258995251,76774806,76774788,63680743,51881628,51881629,63680745,258342574,41587805,41587806,51881653,63680777,63680753,63680754,76774801,90640592,90640579,90640578,101987383,112636028,105527368,104810678,90640596,90640595,100387094,106831639,92520209,85373030,71783664,59041937,59041938,71783666,85373036,259960219,259594928,76774827,76774820,63680768,63680767,258995253,86431663,260030430,38782728,48705050,256983003,30198241,255496631,16589875,255939341,38782773,48705117,257563983,48705035,60100593,50146092,50146093,60100705,257659318,72837200,72837146,72837147,60100642,48705001,38782692,30198196,30198195,30198221,30198222,38782747,48705079,60100646,60100645,60100657,48705022,256439015,30198200,38782706,40865582,38896724,38782724,38782723,48705044,48705038,48705037,269828333,72837217,72837216,72837246,67191069,54871627,44071211,34754502,26734570,255711696,44071209,53883491,65950570,63641240,51848631,41561797,41561780,32668738,24992845,18469122,13121132,13121133,18469126,24992856,31211549,23726081,17402194,15828272,15828271,21910008,29225942,37787868,47708896,51848634,42985742,33931694,26098409,19409404,13886552,9528787,8943253,8943254,13121131,18469120,24992843,32668734,41561765,39889517,31211546,31211547,32076780,24503437,24503436,32076778,40847896,32668756,24992858,24685603,24685604,32296742,32059637,24491894,24491895,24526255,24526256,32101608,27046542,20154065,20154066,26098438,19409450,254485982,22400473,24490188,24490189,18066132,18066133,18479009,13128108,8947452,8947453,13128109,18066146,13878713,13878714,19401989,18066120,12808325,12808324,18066130,24490246,19409430,13886573,13886574,18066189,18066188,12922447,12922446,18218885,19409329,26098340,32073591,27046538,20154063,20154062,22912007,255949309,22910948,16678398,11641784,8718746,5675138,4095673,4095668 Dl.O(d2) = 2342527,3912839,6250024,268278504,2367443,3953334,3953338,3981250,6345694,9521745,6345706,3981257,3981258,6345711,9651157,14037122,13983214,13884036,9526256,6248898,3912109,3912107,6248893,9526252,13820077,19259132,13763469,13763468,19259129,19591507,14037074,14037073,19591506,26316775,33855530,34110016,26245959,19528550,13983194,9605044,9605045,13983196,19530188,26247415,26098343,26098344,33931637,42985682,52880496,50682385,50682386,50682452,40625168,40625166,50682448,48336224,48336223,48336225,48336226,59721139,55486329,47910700,37994595,37994596,42276653,49802763,49802764,49051627,49051626,47949671,38036109,29473269,29473271,25534094,18922968,18922967,23619741,31104672,39783554,33295480,25533946,18922872,18922874,25533951,33295482,42276679,52663925,42276642,33295444,25533924,18922863,18922862,18922824,18922823,25533858,33295387,255968326,36632367,42276622,33295426,33295427,33295556,33295558,33295301,25533897,18922846,13490151,13490150,18922842,25533892,33295421,33295586,25534037,25534039,30246913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8372490, s2 = 10168616, dlinesl.size( ) = 2 s1 = 8372490, s2 = 10168616, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8372490, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 7950277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9803713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9351434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9351434, s2 = 11028861, int(edited[s2]) = 0 s1 = 9351434, s2 = 11028861, d1 = 11, d2 = 6 Dl.O(d1) = 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Dl.O(d2) = 86576203,72978672,65894156,53826587,53826586,65894154,78617151,92672609,85702209,72116515,258742627,86570269,86570268,85907295,72313833,59579182,57829582,48192719,48192720,59579156,64265813,52410411,52410413,64265823,57829560,57829557,70531151,72890974,60155131,48761391,48761392,46473584,39509609,30901832,23467777,23467775,28133546,28133547,36607382,46473603,57829607,60842607,60842608,73592207,64265899,52410473,52410472,59384603,72116544,85702229,91334478,91334479,92672661,78617234,65319286,65318954,53319399,53319400,65318962,72313617,72313618,59579348,48192910,48192908,57829629,48192729,48192728,59579163,72313815,78617242,72313845,72313846,70531190,57829591,46473586,46473587,46473589,46473588,53319350,42856432,42856431,53319348,59579321,58166417,46799076,36921235,28423067,28423068,36921240,33688737,33688736,42718830,48192600,53319816,42856930,33815570,25998694,25998692,33815562,42856907,42941112,38283562,38283561,48192935,53320227,42857441,33816003,25999046,19326984,19326983,25999044,33815997,42857436,53251343,59761885,59761886,65319532,53320269,42857484,42857485,42857136,33815910,33815909,35354372,33816395,33816394,42857918,42857707,42857705,42857906,33816386,33816387,33816370,33816367,42857069,42857051,42857049,53319915,53251370,42798946,258447801,53320592,42857884,42857885,53320594,47284391,37374829,37374831,42857460,53320249,53320066,53320067,55459071,55459072,53320496,53320440,268949118,33816184,33816183,257241377,33816350,25999311,19327174,13820675,13820677,19327180,19326914,19326915,25998926,25998990,19326955,13820559,9478482,9478483,13820567,19326971,25999015,25999030,33815961,42857360,53314833,42852046,42852047,47284404,37374845,28834818,21563702,21563704,28834824,37374857,42857280,42857279,42857494,42857495,53320285,53319441,42856521,33815123,25998216,19326413,13820193,13820196,19326421,25998228,33810931,25994384,19322927,19322928,25994386,33810934,33815251,25998349,19326519,254945179,6215134,6215135,9478336,13820293,255698089,22941991,22941992,30343223,38929315,256995529,255951291,16705822,11665579,11665578,16705820,22941582,30342842,33810856,33810857,33070737,25994338,19322876,13817144,9478362,6215148,6215149,9478364,13820349,19326586,13820337,9478357,6215145,3890142,3890141,6215143,9478354,13820334,19326604,25998467,33815349,30342533,22941303,16705607,16705608,22941308,30342536,38928711,44610705,44610706,35229675,35229674,30342392,22941175,255684788,11665730,11665729,16706079,22941914,30343143,25998304,19326480,19326479,22941909,30343148,33810898,25994350,22941739,16705936,11665639,7776182,4928071,4928070,7776178,11665454,7776077,7776076,11665450,9478304,9478305,13332664,13332667,18728679,22942003,16706149,11665779,11665780,16706153,22942012,22944228,22944231,25998295,27135374,20228970,14515959,14515960,19326897,22941157,22941158,22944152,19326681,19326679,16708213,16708157,16708149,16708148,19326865,19326634,19326635,19326653,19326652,25998538,33815407,42856745,42856731,42856730,42856734,42856814,33815472,256683389,48849106,38931696,30345778,22944422,22944421,19326673,13820386,9478388,6215159,3890150,2329190,2329189,254456427,9478375,13820362,19326643,25998529,30345612,22944248,16708221,11667558,7777733,4929295,2973313,2973315,4929263,7777780,11667642,16708316,22944354,30345540,30345539,30345732,22944379,22944380,17282947,12161954,8192446,5261949,4928048,4928047,7776127,11665541,11665568,16705807,22941565,22944148,22941805,19327224,19327223,21671618,16706011,11665683,7776203,4928078,4928079,7776208,11665695,16706028,21671492,15634493,10819296,10819293,15634482,15639139,15639138,11667606,7777761,4929253,2973290,1725467,980954,980956,1725477,2973307,4929282,7776235,11665751,16706106,16708351,16708352,16710021,22946268,19327197,19327198,16705670,11665492,7776109,7776107,11665503,13359270,13359269,16706246,11669081,11669083,16705485,15634613,10819388,10819384,15634603,21671611,22941098,16706038,16706037,22941167,22941168,30342384,268249985,17257822,23569145,31053099,30345496,30345497,28960117,21678346,15639148,10822259,7777901,4929344,4929347,7777904,11667784,16708537,16708188,11667520,9988767,9988768,14516500,16710007,22946257,30347581,30345180,22943883,16707898,11667332,11667333,16707906,15634457,15634456,16706260,11665847,11665846,10819394,7150376,4502876,4502872,7150366,9986694,9986693,14513373,20225334,17282968,17257845,17257844,23569184,17463370,17463371,17448988,268254155,31264404,39939395,35229256,35229255,44610209,55458626,258020170,81267969,261002057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9351434, s2 = 11028861, dlinesl.size( ) = 2 s1 = 9351434, s2 = 11028861, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9351434, Dl.E( ) = 12, 1.69e-05 seconds used appending s1 = 8684978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13223667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14251485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14251485, s2 = 10142622, int(edited[s2]) = 0 s1 = 14251485, s2 = 10142622, d1 = 56, d2 = 50 Dl.O(d1) = 44812495,35387872,35387873,44812498,55719079,52460301,42107615,42107616,52460303,64328128,68115540,55719080,44812499,269205239,68115539,81604242,72548852,72548851,74670999,61878849,61878850,74671000,258620675,57663229,46319022,36466163,28007354,20842711,14943004,10277594,10277595,14943005,10277596,10277597,14943009,20842716,28007363,36466174,46319037,57663215,46319004,46319005,256808009,255784299,14943012,10277599,6754419,4232406,2530492,1458261,1458262,2530494,4232408,254997725,10277553,10277576,14942980,16546818,255344930,20945993,255795427,36596939,46463293,57819287,70520215,84055092,97925745,97925741,84055084,84055083,259810540,259745324,259745336,151490184,160343090,148099937,134977837,121169159,106902434,92583368,92583369,106902435,100336984,86379867,72783865,72422825,59687586,48300925,255720666,42803132,53255931,65245510,68095016,81584844,93514001,79377445,66009253,66009254,79377446,93514003,107951282,122377576,121900186,107525342,93118738,79002860,65653025,53607378,43109917,43109916,259095205,260100158,65653014,53607373,257848601,79002847,93118728,93118736,107525339,121900167,114201014,271814191,141452397,135826858,127458631,113582512,99566039,85615656,72027224,72027223,85615653,258483844,127458616,139693953,139693954,139693938,126318891,112452516,112452515,112452528,259993602,127458622,113582506,113582505,127458620,126318893,112452519,112452517,99363579,99363578,113365046,127223267,113365044,99638069,85689140,72103277,59370603,47980346,269330569,37773720,37773719,37773708,37773707,29211777,21897593,15818950,10962741,10962742,15818951,21897596,29211785,37773723,47695108,59093532,67563227,55219600,44368500,34990224,34990223,44368498,55219596,67563221,81032378,95090503,81032376,74347510,61570666,61570667,67563258,67563257,81032412,269771826,257303079,44368510,55219623,55219607,44368503,34990228,26909238,20025547,14343281,14343283,20025551,268546801,44368518,55219642,67563260,67563261,81032414,95090532,102355049,88358865,88358866,102355050,258528866,257309182,52520080,64393997,67563248,64393995,64393994,55219591,44368495,34990221,34990220,44368492,44368493,55219587,67563211,81032362,67563203,67563202,73973108,87571330,91492745,91492746,105716564,119951640,272330127,260801595,117879192,119951639,105716559,91492742,77562043,77562044,91492744,105716562,103725566,103725565,117879203,260204387,89610502,89610501,103725555,115558613,103725562,89610510,89610511,103725564,117879202,131706274,259805164,89610541,75828059,75828060,259588579,259178990,112578613,270979439,62863881,51213736,41056390,32261860,24661051,256075497,41056391 Dl.O(d2) = 76092055,76092060,76092062,76091822,63091010,63091009,76091816,89893237,89365613,75603731,75603730,76091831,76091830,89893257,104018881,109365354,100919335,86937273,73326937,60582853,49183036,39257117,30661216,30661217,39257119,48305043,38394531,38394532,29822134,22454872,22454873,29822135,38394535,48305049,48305044,48305045,59691908,50536776,50536775,40501607,31806443,31806444,24291729,17909961,12688495,8619272,5603590,3479132,2064747,1185091,1185094,2064779,3479195,5603716,8619509,6963116,6963117,10557436,13510902,17560271,12389494,8372495,8372496,10533634,6946806,6946807,10533636,15266124,15302309,10566562,10549357,6957434,4371305,2618762,2618763,4371309,6957444,10549375,15280905,10546884,6955720,6955719,8104026,5192401,5192404,8104029,12053656,12053964,13529461,9260015,9260016,6966592,6966591,10562398,12068920,10569795,6971603,6049460,6049458,8103904,5192341,5192340,8103898,12053467,10548106,10548105,13535072,9264905,6068470,3796901,3796900,6068467,8366588,8107202,8107205,9941480,8103953,8103954,8112391,8112390,12064689,9243399,6053922,3788334,2269631,1316830,1316828,2270411,3789864,6056781,5196333,3170447,1856112,1059364,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374326,5404565,5404568,8374338,12392041,13513898,13513899,18950552,17471184,12317496,12317498,17151089,17160943,15294148,10558696,10558697,15294153,21232933,17152849,12056314,12056315,11914679,7970027,7970028,9106315,9106314,9237337,9237335,13501452,18937209,17085816,11998274,8051065,8051066,11132267,7384142,4665094,2810557,1630481,927149,522591,522590,927146,1630476,2810545,4665074,267839627,1849474,1849478,2584623,2584622,1839052,1839054,3144199,5132990,3120714,1823967,1041152,586248,327397,327396,586242,1041141,1823955,3111531,3111532,5121510,3115734,3115730,5126791,7405734,254351485,2818739,2818730,1635304,1635305,2818735,4678727,5103479,4757672,2867554,2867553,4757670,7524084,11327848,8012515,5100957,3096267,3096268,3098351,3098348,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,587158,327848,327845,587147,1042881,1826909,1042779,587092,587091,1042776,1826902,2866039,1663432,946401,533680,533677,946389,1663388,1843715,1849423,1849424,3159371,3144934,3144935,5127978,5127977,4680322,2819854,1635930,1635931,2819858,4680332,7407337,8022293,11975995,11331620,7529148,5106100,3099883,3099884,3116033,1821026,1821027,3116036,5127140,7529176,4762365,2870718,2870717,4761800,2870339,2870338,4761796,5176785,5176787,8071679,12013798,11974486,8076086,8076088,5171193,5171191,5120741,3110954,3110956,5120746,8031437,8024215,5153852,3137713,3137711,5153847,4762458,2870783,1666093,1666094,2870785,2867901,1830897,1830898,3131911,5147145,7529536,4762717,2870964,1666200,1666199,254357411,2870967,3120893,3120892,2866888,2866887,4756485,5110094,5110095,8021302,8057514,8020919,5109669,5109666,8020914,11329804,7526812,7526813,11329805,16287215,11995524,11995525,16078022,11165303,8042622,5163117,5163118,8068826,11977976,11325868,11325867,11921053,267740256,7975518,254102972,13317946,254161528,7524004,7524002,5064473,5064476,7961536,7990908,5086104,5086106,7990922,10771933,12017784,17103298,23372071,254819304,49266194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14251485, s2 = 10142622, dlinesl.size( ) = 2 s1 = 14251485, s2 = 10142622, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14251485, Dl.E( ) = 58, 3.98e-05 seconds used appending s1 = 7972785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 544440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8016786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1120359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13248469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8106638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1510282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1510282, s2 = 9336624, int(edited[s2]) = 0 s1 = 1510282, s2 = 9336624, d1 = 14, d2 = 12 Dl.O(d1) = 271423204,29179138,255597304,10942854,10942853,12048144,15574391,15574396,21601952,28877205,30557765,28877038,21601769,21601768,15574271,15574272,10773666,7118565,7118564,10773660,15574780,15846225,21933879,29254931,29929375,22569055,16388146,16388147,22569061,28877537,28877529,21602372,21602370,28877521,37048159,28548494,21324141,21324140,28548490,37048155,28877115,21601843,15574297,10773278,10773280,15574304,21601855,28371851,21154861,15199448,15199449,16882097,23140515,23140516,23142441,30559514,39156751,49085060,46836902,36958697,36958698,256050444,28458509,28458510,28458435,21232845,15263458,10531310,10531309,15263453,21232840,28458426,36958596,46836783,46836976,37418753,37418754,47327223,58202913,46836945,36958744,36958743,39244381,39244382,46836842,47327200,37418722,28877077,28877075,28458536,28458534,36958723,29929406,22569079,16388155,16388158,22569086,29929419,38490015,48392838,48392831,38489850,38489853,39416892,42911706,42911705,49346393,39416910,30811714,28458453,21232858,21232857,28458451,36958623,46836817,58202828,70915331,59141125,258100523,48392814,48392815,46836857,46836858,48284033,48284034,58202868,47327408,47327409,58716317,64733395,52817648,42416105,42416104,46836852,39482881,39482879,47695163,37773769,32469393,32469392,38489722,29929209,22568912,16388039,16388041,22568914,29929210,32469375,255538876,13016554,8862500,8862501,13016555,18336648,24829947,29929469,256292992,31802943,24288573,24288574,29929197,22568906,16388033,11405853,7579334,4794052,2889896,1677344,1677345,2889899,4794061,7579358,11405900,16388116,17907107,16388088,16388089,11405949,11405947,16388205,22568838,22568740,22568741,29929009,22568972,16388077,16388076,22568969,29734334,29928950,22568681,22568677,16388096,16388097,22568992,29929300,38489907,44559357,35180972,27092251,20193451,14488962,14488963,16883689,15608813,15608814,16878898,16878063,11808058,11808056,16878055,16878547,11812819,7891096,7891094,11089593,11089592,15974886,22080479,16252210,16252209,22417493,22080541,15974944,15974946,11811572,11811573,16882036,16883400,22080528,22080527,16881639,11811169,11811170,11808519,11808520,255518701,16883220,16883219,22417486,16252201,11299074,7501702,4741957,2857826,2857825,4741953,7501701,11299072,16252198,22417480,29410998,29410983,267972874,254349942,4645899,7354652,254764946,7889735,5010864,3029863,3029862,5010861,7889731,7501715,4741964,4741967,7501725,5009212,5009210,5009293,3028902,1762405,1762406,3028904 Dl.O(d2) = 36742127,36742110,36742111,34593515,34593514,36742174,28246369,21046502,15117371,10427275,10427276,15117380,16795488,23040379,30448253,39037687,36742449,36742104,28246313,28246312,36742099,46629989,58005146,66904075,54647543,47803962,37880292,29311477,29311479,36742408,33070095,33070094,33144531,36742384,28246567,21046635,15117476,10427314,6874793,6874794,10427319,15107148,15117422,15117423,21046563,28246465,23171642,23171641,30589957,26606372,19799224,19799225,26606380,34593523,36742171,28850635,21578778,21578777,28246379,36742190,39037685,34659056,34659055,36742446,28246620,28246618,36742369,36742370,46629987,46679304,36793198,36793199,46679309,54647203,43904551,37379518,31081521,31081522,39759277,42098718,42098717,34659026,28246573,28246544,21046624,15117466,15117464,19851364,14222121,14222119,19851357,21046560,28246452,34659065,34659063,34593547,26606402,19799238,14181969,14181970,19799243,26606411,34593554,37390620,28850644,28850643,36742185,34632710,34632708,43905303,43932301,43904922,36742437,36742438,37547330,46630192,46630146,43904567,43904566,43904541,34631833,26641319,26641320,28839312,23598016,23598015,31081531,39759287,38335164,38335165,43932264,36742352,36742351,46630179,43932296,34659049,26667034,26667032,26667038,30503589,30503591,39099502,34632412,26641886,26641882,19829101,14204412,14204416,19829113,23239636,16969496,16969494,23239632,30659304,39255297,49181012,43905173,34632499,34632498,34632703,33144700,33144701,38094855,33144570,25404491,18814766,18814768,18814832,18814831,22787501,22787502,19828702,19828700,15545625,10751590,10751589,15545620,21567785,28839294,37379504,28839370,21567841,21567839,28839362,37379585,39395810,30793086,23366909,23366908,26641272,19828677,14204149,14204150,19828681,26641281,26641840,26641839,26641844,34632374,43905074,54647173,52451720,42098846,33144678,33144676,40194827,37379491,37379493,33144720,25404638,18814884,18814886,25404640,33144667,33144666,34632601,26642075,19829250,14204509,14204510,19829254,22932154,30333033,38919405,43904853,34632172,33144508,25404448,18814739,18814737,25404442,25404544,25404543,33144621,26641902,19829118,14204421,14204177,9764499,6420052,4027685,4027684,6420050,9764494,14204167,15672748,15672749,21716160,29001602,37547260,43904734,34632057,34632058,26641551,19828864,14204269,9764560,6420083,4027694,4027693,6420078,9764553,14204254,19828842,14204599,14204600,19829374,26642224,33144502,33144503,33144685,33144684,42098852,34631907,26641370,19828742,14204199,9764508,6420057,6420058,9764512,9764622,6420120,6420119,6420043,6420044,9764484,14204145,14204164,13403833,9163932,9163933,6420067,4027690,2413568,1397055,1397058,2413573,4027702,6420097,9764587,14204323,19828955,26641665,34632159,26641642,26641641,30453136,39042530,34632573,26642036,26641443,19828788,14204231,9764534,9764535,14204233,19828794,26641451,28418093,21195869,21195868,28418090,29767540,27024301,20132288,20132285,14439100,14439099,20132279,19828906,14204293,9764574,9764575,14204296,19828913,19829387,26641423,19828983,19828984,18698705,13305705,9087308,9087309,13305709,14204545,15145182,21084655,19828892,19828893,26641470,19828811,19828812,26641477,26642033,26642032,34632572,28384089,28384088,35110557,27024284,27024285,28384090,28384092,36880608,43904623,34631926,26641384,19829315,14204568,14204567,16242407,22404719,27024297,22536057,16361965,16361964,17248523,12130114,8161267,5231764,5231766,8161278,12130125,17248539,23557830,23164784,16902214,16902215,23164789,30582532,23164773,16902209,11828388,11828385,15209212,21166198,28384102,36880520,28384001,21166128,15209161,15209164,21166131,28384005,21166189,21166187,28384079,29533252,37741695,37741696,36698310,28207475,21014683,15093286,14204243,14204241,19828804,26641461,34631996,43904685,54647248,255910262,28384013,21166139,15209199,10491432,6918216,6918214,10491427,15209190,21166166,28384052,23743806,17418880,12277145,8291296,8291295,12277143,17418878,23743802,17418968,17418969,14102148,9699495,6379306,4002359,4002361,6379314,9699516,10656828,10656834,15416596,10656839,10656841,15416617,17733695,17733696,23744142,17733782,12547097,12547095,17733776,24091426,31594887,31250482,23766000,23766001,28666755,28666752,29810996,29810998,34281476,30188241,22798595,22798596,22444065,22444062,29810955,28782074,21518807,15507703,15507702,17419259,17419260,17419301,17419304,17418955,12277191,11603230,7724262,7724263,11603238,16634072,22860412,23744185,17783974,12586587,12586588,17783966,24151157,29168914,21859557,21386466,15402945,15402947,21386471,28624090,32133040,40910730,37188027,28666791,21420519,15429641,10666746,10666744,15429627,21420498,28666765,37028315,31279535,31279532,37136940,28624131,28624132,29587441,254845540,14366778,9873039,9873040,14366782,16482655,11484470,11484467,16482647,22680445,19224657,13733160,13733159,19224654,255326806,21588211,15562700,10764354,7112309,4478166,4478167,7112310,10764356,15562703,21588215,28862333,25494343,25494342,33244760,28502904,28481748,28481749,30725202,23307451,23307454,23033472,16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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1510282, s2 = 9336624, dlinesl.size( ) = 2 s1 = 1510282, s2 = 9336624, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1510282, Dl.E( ) = 22, 2.19e-05 seconds used appending s1 = 13366439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8019974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9819639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8661204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8661204, s2 = 13517842, int(edited[s2]) = 0 s1 = 8661204, s2 = 13517842, d1 = 1, d2 = 3 Dl.O(d1) = 129666265,116782569,102689327,88679335,88679334,102689325,116782566,128101487,128101486,141466974,141466975,261877569,167986427,165900563,165900564,176551555,178400131,263247711,177952217,167986429,157557090,156422324,156422311,143915193,130607587,130607586,143915191,143915214,130607605,116782585,102689339,102689332,88679340,88679339,102689321,88679333,259902046,75028215,62205396,62205397,62205408,62205407,70800213,58083470,46711900,36829410,28333104,21121462,21121461,28333103,36829408,36916824,36916823 Dl.O(d2) = 11256573,255466347,29695392,38261243,29695435,22341943,254716100,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196043,28418285,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695675,38261593,38261714,29695795,22342210,16193520,16193519,16193195,11256518,11256519,16193197,22341792,29695257,38261095,48170726,59557420,59557583,48170966,48170965,59557581,59557790,48171219,38261565,29695653,29695652,22342188,22342186,23590516,23590514,31073809,39751476,39751488,49770002,61248761,58745096,47357769,37451213,28911602,28911603,37451215,30626130,23203698,23203697,30626126,39223870,49150419,59557324,59192587,59192586,59557474,48170814,48170815,59557477,68116555,59557468,59557469,48170951,48170950,59557568,48203042,38293687,38293686,48203040,59589485,72291777,66956035,59557412,48171325,48171324,59557840,72291962,74028754,257641298,43953409,54697215,44613657,35232280,27137516,20230653,20230651,20230639,20230638,27137481,27137450,27137449,256024260,35232203,35232206,40467916,40467917,50503793,52038933,47792380,39390605,30788163,23362651,17093759,17093758,23362647,30788156,39390594,30868248,30868247,39471681,41723661,47622638,37699435,254750194,21831247,15762860,15762858,21831245,24013800,24013711,24013712,22239220,16103680,11185760,11185759,16103673,22239209,29587071,29139858,21832326,21832327,21672832,15635412,15635413,15763913,10917379,10917378,12697355,12697354,17920868,24304511,31514609,31514608,25101661,25101660,20169020,20169021,15763950,10917402,10917404,15763959,21832626,26372790,21165027,15208337,15208335,21165021,28382625,21672803,15635401,15635400,15762841,21831209,21831381,15762961,15762958,17666033,12492283,12492280,17666020,22239193,16103663,16103662,22239191,28417799,29097853,21800413,15740426,11297417,11297419,10819886,10819884,15635420,21672863,17920862,12697349,11850063,11850064,15762159,15762160,17666041,24013768,31514622,35148916,29140157,21832596,21832595,21832618,21832616,29140172,27240476,20309786,20309787,21165013,28382612,28382607,28382608,28953073,37495658,29138550,29138551,29138751,21831371,21831370,29138747,24013744,24013745,31514571,31514558,28417804,21195632,15231785,15231786,21195636,28417814,29097838,29097839,37495736,28953145,21672853,21672850,28953157,23200811,16931447,11850057,11850058,16931454,23200825,24013757,31514603,29139881,21832351,21832348,29139876,32470080,29139779,21832241,21832242,27240455,20309777,20309775,27240448,33204684,25457494,25457495,33204689,42164861,37700559,37700561,37700947,47622652,59025856,61705187,50223301,40200971,40200970,47623577,37700575,29139792,21832249,21832248,29139789,29138870,29138869,37699593,37699597,47622751,58790951,58790950,55693939,55693938,55693935,55693934,68091675,55695393,55695392,60545754,54585218,43840448,43840447,54585216,54585249,54585250,47624856,37701880,37700033,37700032,47623187,59026254,257480036,81581742,68091630,68091629,59026564,47623660,47623662,47622737,37699588,37699591,37701808,37701810,47623653,37700671,37700670,44786361,55693695,44786811,35362706,27239584,20309106,20309108,27239430,35362474,44786609,256238007,27239590,35362710,44786815,55693997,55693853,44786618,43840369,43839957,41315757,41315758,43840910,34569106,26582423,26582422,34569102,35362641,35362642,43839946,44786761,43840505,34568777,34568776,43840470,34568750,26582198,19778849,14167117,14167118,19778855,19778830,14167105,14167101,14167103,9739730,9739732,6591140,4129285,2470101,2470100,4129280,6591131,10028980,14574634,20309066,27239454,20309039,20309040,27239265,35362247,44786371,54585179,54584877,54584878,43840851,34569056,26582404,26582403,34569054,34568585,34568583,43840282,43840034,35362648,27239551,20309092,20309093,27239556,35362657,34568803,34568802,43840020,34568373,26581998,26581999,34568375,34568321,26581976,26581977,34568323,43839955,34569005,26582516,19779048,19779049,14574555,10028938,6591107,6591108,10028941,14574562,20308955,27239300,20309082,20309081,27239527,26582018,19778760,19778761,26582022,27239329,27239330,34568580,43840273,34568868,26582279,26582278,34568864,43840610,35362431,35362427,44786544,268948484,27126487,20221804,20221805,22538754,22538753,29893785,38450647,44601109,44601108,49147620,49147621,48352565,38450615,38450597,29893760,29893758,35220570,27126973,27126954,20222063,20222062,20221957,20221956,27126749,30781825,30781826,39383761,38450701,38450699,48352657,49344387,48352535,48352533,55450147,44600954,35220045,27126607,27126608,35220048,44600956,38450716,38450717,44601298,44601299,48352677,55450197,44601028,44601027,55450193,59736329,59736328,48352606,39383791,30781847,30781848,39383794,44601568,48352573,38450622,29893776,22538748,16364124,16364123,22538743,29893767,35220531,27126941,20222056,20222057,27126720,27126719,35220229,44601211,55450349,55450488,48352649,48352651,55450135,44600934,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,4936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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8661204, s2 = 13517842, dlinesl.size( ) = 2 s1 = 8661204, s2 = 13517842, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8661204, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 13271583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8101911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8101911, s2 = 14061906, int(edited[s2]) = 0 s1 = 8101911, s2 = 14061906, d1 = 7, d2 = 5 Dl.O(d1) = 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404,30331445,22930567,22930536,22930537,30331406,30305341,22906139,16674467,11638933,11638932,11638587,7753844,4910718,4910719,7753845,7753842,7753841,11638581,11638513,7753809,4910700,4910699,7753807,11638509,16673783,11639067,11639068,16674658,22906379,30305581,30305068,30305067,38891134,38891043,38890239,30304158,30304159,38890241,38890987,30305000,22905861,16674262,11638802,7753955,4910772,2960057,1716415,1716416,2960059,4910777,7753971,11638838,16674211,11638770,11638769,16674209,16674610,16674611,22905355,22905711,22905712,30304652,22905562,16674050,16674049,22905060,267833752,7753745,4910813,2960075,1716427,975281,549097,549096,975278,975285,1716436,2960098,4910857,7754118,11639092,11639085,11639086,16673759,11638494,7753796,4910693,4910692,254802089,7753783,11638483,11638563,11638564,16673894,22905349,16674613,11639037,7754083,7754082,11639034,16674608,22906333,22905773,22905772,16674633,11639049,11638905,7754014,4910801,2960070,2960069,4910798,7754009,11638466,7753770,4910678,4910679,254802087,16673735,22905132,16673760,11638497,7753789,4910689,4910691,7753791,7753786,7753785,267896783,2960062,1716421,1716422,2960065,254802121,4910837,2960086,2960087,4910840,7754091,11639045,16673689,16673690,16674638,11639053,11638428,7753746,7753747,11638431,11638501,7754005,7754004,255121933,255948793,18060761,12804613,8706419,8706420,11639197,11639195,7754208,7753777,4910683,2960015,2960016,254550195,11638477,16673747,11638878,7753991,7753990,11638874,7766487,4920229,4920228,7766485,11654785,254803203,4920209,4920210,7766471,11654772,11638472,11638473,16673205,16674598,16693636,16693637,16674595,11639022,11639020,16674592,16674843,11639245,7754254,7754255,11639250,11640217,11639192,7754205,4910915,2960132,1716453,975297,549105,307398,307399,549111,975302,1716460,2960149,4910957,7754265,7754685,7753247,7753246,7754666,11638191,7753599,4911267,2960288,2960286,4911259,7754841,4920216,4920218,7766466,4920205,2966743,2966742,4910371,2959818,1716300,975218,975217,1716293,2959800,4910344,7753234,7753216,7753214,7754876,7754877,7753300,7753302,7753671,7753670,11638284,11639179,11639180,11638257,7753643,4910892,2960119,2960118,4910899,4910572,4910573,7753565,7753659,11638269,11640042,7754807,4911241,4911242,7754810,7753605,4911206,4911204,2966650,1720842,1720843,2966655,4920063,7766256,7766233,7753283,4917156,4910449,2959853,1716316,975223,975222,1716311,2959840,4910417,7753352,4911309,2960302,2960301,4911301,4910862,4910861,7754124,11639099,16674705,16690434,11651497,7763470,7763471,11639140,11639139,11653637,7768957,4922410,4922412,7768961,254551256,11657312,7768739,7768740,11657316,11657309,11640101,7754748,7754750,4922076,4922077,7768555,11657081,16696358,22904387,16693238,16693240,16695641,16695642,11657061,255123177,16696342,11657060,254803244,255505147,16673117,11637887,11637888,16673118,16673067,16673066,255506482,4921326,4921329,7767825,7766080,7766081,4922061,2968178,2968177,4922055,4922941,4922940,7757277,7757278,11643881,16681287,11643893,11643894,7765134,7765135,7765266,11653423,7768011,4921526,2967748,2967747,4921522,7768001,7769630,7768539,4922068,4922069,4922288,2968328,1722095,978789,551089,308483,170668,170666,308477,308489,551097,550791,550789,978284,1721345,2967359,1721509,1721508,2967561,4918888,4918887,2968436,2968437,4922460,4922952,2968768,1722411,1722409,2968759,4918820,4920545,4920546,7766736,7765143,4919104,4919105,7765148,4919209,2965972,1720394,1720393,2965965,4918939,4922240,7764958,4920589,4920567,4920568,2967753,2967754,1721678,1721677,1722081,1722080,2968306,4922147,2968242,2965617,2965614,1721324,1721185,1721186,978724,551058,551057,978718,1720238,1720239,2965733,2968741,1722398,978995,551209,308547,308549,551215,979008,1720552,1720531,254126941,308161,308162,550509,977799,1720542,2966176,2965779,1720264,977613 Dl.O(d2) = 48831596,48831597,60226960,48831959,38910711,38910712,48831225,48831224,60226561,48830820,38909299,38909297,38910614,48825030,48825032,60222020,60227113,60227111,48831843,48831842,48830836,48830837,60222097,48830385,40246891,40246890,48831818,48831542,38910200,30323095,22922164,16688003,11649330,11649331,16688006,22921723,16687718,11649185,11649186,16687720,22921728,30322463,38909417,48830899,48837578,48831599,38910276,268962537,60226746,48831229,38909814,30322746,22929684,22929683,22922036,22922038,30322376,38909310,48830736,38909210,38909211,48830741,38910561,30323464,30323466,38909330,30322389,30322390,38909337,30322453,30322452,31560522,28351650,22922124,16687979,11649316,7761347,4915868,2963348,1718593,976601,976604,1718586,2963314,4915810,7761230,11649086,16687536,16687620,16687619,16687792,22057943,22922211,16688029,16688028,22922206,30323171,30322478,30322476,38909043,48830596,38909286,30322364,22921674,22921675,30322372,38908795,38908796,48830393,48830532,38908960,38908765,38908762,38908822,38909325,38909236,30322330,22922193,22922192,30323137,36849298,36849299,38910148,30323035,30323037,22922174,16688014,11649336,7761356,7761358,11649070,7761266,7761265,11649157,16687675,11649230,7761308,7761305,11649219,16687798,22921850,30322670,30323146,29704540,29704542,38270760,38270748,38270746,48179919,59565666,59565665,54677983,47300982,47300981,58691486,48179880,48179882,48831153,38909713,38909714,48179975,38905829,38270278,38270279,38270290,38910255,47300867,37391700,28851571,28851572,37391705,33993546,33993547,30322152,22921527,22921528,30322156,30321958,30321956,22921649,22921651,30322323,22921878,16687816,16687807,16687808,22921866,30322659,38909694,48830749,48179928,38270752,38270751,48179925,48179995,59565861,58838028,58838027,48179752,48179718,38270567,38270565,38270711,29704517,22349876,22349874,22349947,22349946,29704584,29704583,38270807,48179432,59565532,59565677,48179702,38270543,33993541,26152023,19453279,19453278,26152019,33993531,43052436,48179776,48179775,48830757,48830755,48831182,38909753,30322703,30322704,38909758,48831137,38909686,38909685,48831135,38909744,38909743,34661682,34661679,38270470,38270468,29704604,29704603,37544186,38270576,29704416,22349817,16199379,11260856,7475587,4724498,2846638,2846639,4724505,7475600,11260882,16199447,22349931,26668829,26668827,26668997,26668996,34661443,43935174,39826268,39826267,43052420,34581997,26668846,26668845,34661411,37375221,37544147,38270534,38270535,38546543,38546542,48458868,59849616,59565847,48179980,39826216,31143826,23656786,23656787,31143830,31143877,28998898,28998897,37544236,37544205,37544203,47452105,38270450,29704321,22349759,16199342,11260827,7475577,7475576,11260824,16199335,22349746,29704294,29704593,26668762,26668751,26668753,26669001,26669002,34661642,30412412,26594867,19789403,14174880,14174878,19789389,26594838,26669158,34661859,37544131,47452033,38546556,29977678,29977677,38546550,43935525,43935526,49849883,39826234,31143836,23656826,17340041,17340040,21713936,21713938,15671094,15671095,21713950,28998916,30531320,30531319,39129883,38270429,29704308,29704310,29704329,29704280,22349735,22349734,29704275,31816214,26668769,19852626,14222983,14222985,19852631,26668783,32989157,41929669,43853564,34582051,26594871,26594872,26669149,19852871,19852872,26669153,34661852,29977689,22610986,16426848,16426849,22610990,29977695,38546575,48458900,43935583,34661802,31816204,31816206,40512573,47452148,37544244,28998906,28998908,34661726,43935529,50548365,50548356,40512479,31816120,31816121,40512482,48179587,38912676,30325607,30325608,38912678,40512581,34661874,34661875,34661508,26668912,26668914,25265610,25265611,32989166,38905640,43935245,34661503,34661502,36987688,36987685,36987683,46866163,48830930,48458891,38546585,29977703,24222022,24222024,31729828,38273595,31729760,24221987,24221988,31729764,40423242,50460630,40512338,31815978,24300216,24300218,24300306,17917174,12694218,8623680,8623679,12694214,17917168,24300296,31816130,30325616,22924506,22924507,26669054,26669053,31731301,40425070,50462478,43935269,43935268,40423080,31729651,31729652,40423083,48002257,38090734,31729645,24221915,17850942,12641762,12641761,17850938,24221904,24221859,17850919,12641804,8583652,5577596,5577593,8583642,12641794,17850986,24221998,31729782,40423264,50460648,50548303,48063844,48063843,59455070,50460458,40423043,40423044,50460464,60690937,50548411,40512555,39362420,30761240,30761239,39362417,269007569,61956465,61956448,50460506,40423090,31729655,24221919,24221920,31729656,40423095,40424446,31730758,24222700,17851449,17851448,24222699,24221939,17850954,12641771,8583628,5577588,3460537,3460536,5577585,8583622,12641757,17850930,24221885,31729592,40423003,40512435,31816088,31816085,40512428,50462095,47355024,47355026,58742533,50548323,48063867,38151089,29585071,22237390,22237392,29585077,31730993,26035341,26035340,25093326,25093325,32791878,41707711,52018099,49978176,43390667,34291075,26415079,19679030,19679032,26415091,34291093,41939302,40424483,40424484,40423501,31730032,24222180,17851100,17851098,24221817,24221818,27199698,23788184,17457172,17457174,23788191,31273758,38751668,39948574,31273761,31273762,39948579,47355050,58742546,51533527,41312988,38894731,30308944,30308943,38894722,48816014,41741331,38915630,30328916,25093288,18546920,13178150,8982948,8982949,13178157,18546939,25093315,32791858,30661076,28851231,21579272,15555860,15555859,17851842,17851841,24223273,31731110,31731039,24222885,17851558,12642144,12642143,12642175,12642174,11029270,11029271,15908007,22009538,25776452,256668957,53023365,60808523,60808524,257615103,49408266,49408333,49408334,60808619,73332483,71501371,58771969,258076249,85073517,86943296,73332479,73332480,72400617,59664907,48277115,38365607,29792887,22426935,22426934,29792884,38365601,48277109,59552006,59664975,48277173,38365637,29792908,29792907,38365635,38256023,29690724,29690725,38256025,257523059,38365594,38365598,38365645,29792914,22426954,16260276,16190467,254775127,7470881,11254339,16190476,22338180,29690732,38256036,48165394,256943205,29690673,22338143,22338144,29690670,38255942,48165265,38365569,29792871,22426927,16260255,11305054,7505613,7505614,11305056,16260260,22426937,29792889,38365611,48277125,59664924,55716072,44809658,35385228,27259966,20325869,20325868,27259964,35385227,44809654,55716069,68112421,81601237,272173368,57969933,46593556,46593557,57969935,70687749,84240007,72130667,59400140,48012540,38101962,29538408,29538407,38101961,48012535,59400135,72130654,85715253,86077285,72479257,71441550,71441551,269798232,72478943,59743680,57970038,46593633,46593635,57970031,57970047,50461364,40423926,31730329,31730327,40423916,50461350,61957269,74757150,64433336,52558561,256313276,37727409,37727410,29901368,256414387,48359885,59743617,59050371,59050370,71791625,59743713,256413900,29901449,22546048,16370793,11393013,7569624,7569623,11393009,16370786,16364637,11388297,7565837,4783852,2882656,1672649,1672651,254358171,7565842,11388300,11388327,7565864,4783867,4783866,7565863,11387515,7578855,7578856,11405068,16364680,11388348,11388349,16364681,16371180,11393265,7569777,4787210,2885397,254358483,7569771,7578753,11404907,16371175,22537881,16371227,11393839,11393835,7570187,7570183,7570184,7578772,7569772,7569773,4787510,2885637,1674762,1674761,2885635,4787507,7570190,11393838,255099369,11405071,267977611,4787504,2885633,2885632,4787502,4793772,4793773,7570052,4787377,4787375,2889679,2889680,4787361,2889716,1677227,954238,954239,952843,537276,537277,952844,538010,538011,954227,1677204,2885591,254358519,1674804,1674768,952853,537281,301241,166820,91858,91859,166822,301245,301258,166830,91864,50693,28480,16258,9228,5075,2680,2679,5073,9227,16252,28471,50674,267737347,537163,952679,1674559,267831405,7569665,11393079,16370883,22546642,29661914,22309456,268085521,7451432,4708023,4708024,7357363,4647529,4647530,7357366,11093688,15980258,255449048,254235087,4660260,7376633,7377692,7377690,11120928,12494590,255188993,22136880,17669327,12494874,8463238,8463236,12494871,8465770,5471632,3366375,3366374,5471629,8463178,8463177,8463190,5468938,5468940,3366424,1980460,1980459,3366422,5471697,8465850,8465773,7645156,4836741,4836742,7645158,11494568,16497599,12495582,12495583,17670365,21061183,15128229,15128228,12494861,8463232,5468968,3363537,1977775,1129049,633108,351399,192489,105057,57759,57758,105052,192486,351392,633093,1128911,1977567,3363212,267846197,5471972,8466103,12498311,17674000,24023991,28504987,21286131,15321977,15321976,21286130,20129076,14436803,9930820,6526596,4089261,2446354,1414432,804742,456045,456046,804743,1414434,2446361,4089276,6526612,9930843,6527017,6527016,6527030,4089541,2446526,1414523,1414425,1414426,2446346,1414484,804766,804765,1414482,2446464,4089430,4089087,4089086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8101911, s2 = 14061906, dlinesl.size( ) = 2 s1 = 8101911, s2 = 14061906, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8101911, Dl.E( ) = 14, 2.31e-05 seconds used appending s1 = 8050884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8050884, s2 = 13992674, int(edited[s2]) = 0 s1 = 8050884, s2 = 13992674, d1 = 57, d2 = 65 Dl.O(d1) = 52209717,256577360,18659477,18659475,25134110,26677885,26677886,23957393,17610080,17610078,19234916,25894686,33700718,42730513,42175656,42175657,47242741,37332711,33703383,33703382,42733084,34616966,26627377,26627376,29263516,21941906,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,21886706,29199138,26627744,19816644,19816643,26627742,34617340,40453717,37696899,256141362,21828948,26151734,26151735,25132405,25132409,21828901,21828900,29136116,37696853,30104692,22723142,16517980,255490657,19815301,26626155,34615744,34615743,43887923,255486896,24289693,17908101,17908102,24289699,31758700,24246894,24246893,25769981,25769980,33559357,268498786,34615920,34615921,43888086,43052014,33993092,26151611,26151612,33993094,28422195,28422192,36823967,28328358,28328357,36823961,37499135,28956326,28956327,28956391,28956389,28910094,28910095,37449696,36779732,28283576,21078223,21078219,28283565,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,7632276,4828667,4828668,7632279,11474783,16469003,22663757,28160084,36634754,33992663,33992664,43051774,41759252,41759253,38628431,30054549,29321780,21992875,21992874,29321776,28328077,28328078,36823674,33966918,33966919,41758892,32838416,32838415,29317144,21988761,21988762,29317148,28374903 Dl.O(d2) = 212119714,265007211,219407387,222196741,224591294,226670733,228482528,266067832,229302943,265942562,231487275,266290158,224591321,222196761,219407405,216105420,212119731,207241313,201325310,201325309,207241311,264777931,265007217,212119719,207241304,273998337,216105404,219407384,222196738,224591291,226670724,224591321,222196761,219407405,216105420,265007223,265403903,222196756,219407398,219407397,222196748,222196747,224591303,224591319,224591266,265656640,219407353,216105397,212119712,212119713,214272662,217876475,220887817,222196703,224591251,265731983,265731981,265731979,224591306,222196751,219407393,216105412,212119727,207241309,201325308,194295939,263925713,264523793,207241314,201325312,194295940,194295941,201325291,207241284,212119690,216105362,265214939,264777929,212119729,216105416,219407400,222196758,224591314,226670685,224591309,222196754,222196753,265576031,222196756,222196755,224591311,226670740,265875809,228482495,226670680,265403883,216105363,212119691,264240861,186088719,186088718,194295928,201325291,207241284,212119690,216105361,265007219,212119719,207241304,273998337,216105404,219407384,222196738,224591291,226670724,224591321,224591320,226670743,228482496,226670681,265403883,265214941,224591244,274469469,265403893,265403895,222196709,224591258,224591275,265493456,219407373,216105395,216105396,265214947,265214951,264777927,264777925,219407381,265007207,212119704,274105739,219407364,265403891,226670707,228482512,228482508,226670700,224591269,224591270,226670703,265875805,265731987,224591293,226670727,265731991,230074387,228482506,265576023,224591259,265214957,265214955,216105411,212119726,212119725,216105408,219407390,265403901,264777923,264240863,264523789,216105368,219407344,219407371,216105393,212119709,212119710,274494988,222196713,219407358,219407349,219407350,219407348,219407347,216105398,212119712,212119713,214272662,217876475,220887817,222196703,224591251,265731983,265731981,265731979,224591306,222196751,222196749,265731993,265875809,228482495,226670680,265403883,265214941,224591244,274469469,265403893,219407379,265214949,222196740,265007221,212119721,216105405,219407386,265576021,222196708,219407368,219407367,265403887,219407358,219407349,216105376,212119696,207241287,201325295,194295931,194295930,264523789,216105367,216105369,212119700,212119699,216105379,265007215,216105400,219407377,222196731,274635608,231487284,230074399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8050884, s2 = 13992674, dlinesl.size( ) = 20 s1 = 8056397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7913688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7907331, s2 = 8012853, int(edited[s2]) = 0 s1 = 7907331, s2 = 8012853, d1 = 2, d2 = 13 Dl.O(d1) = 6841593,4292957,4278746,2558246,2558247,4278750,6820806,6842683,9086294,9086293,8596900,8596901,255202545,268092150,12074649,256489367 Dl.O(d2) = 28355027,255999480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7907331, s2 = 8012853, dlinesl.size( ) = 26 s1 = 8306150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8306150, s2 = 7001551, int(edited[s2]) = 0 s1 = 8306150, s2 = 7001551, d1 = 3, d2 = 37 Dl.O(d1) = 86442176,100397933,114421519,260996115,109479483,95225564,81169248,67703663,55363949,44517816,35141314,35141313,44517815,55363947,67703654,81169238,67703674,55363962,55363964,55363965,67703677,81169266,80336820,66909939,54652839,54652838,66909906,54652813,43910014,257288403,60711831,49309524,49309525,55363966,55363967,67703680,81169273,74871964,74871965,88507910,102515875,88507901,88507897 Dl.O(d2) = 114123963,100088426,86120142,86120141,100088424,261194351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8306150, s2 = 7001551, dlinesl.size( ) = 2 s1 = 8306150, s2 = 7001551, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8306150, Dl.E( ) = 40, 1.91e-05 seconds used appending s1 = 13225935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8178298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8178009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7574065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6548206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16338873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16338873, s2 = 8292027, int(edited[s2]) = 0 s1 = 16338873, s2 = 8292027, d1 = 6, d2 = 75 Dl.O(d1) = 48764171,38844643,30261029,30261030,31224767,23741500,22865037,16637724,16637723,22865035,22865050,16637732,11605901,11605902,16637734,22865052,30261034,38844640,48764168,48764196,38844661,30261058,30261026,30261025,22865064,16637751,11605913,11605912,16637749,17168411,12071628,8117620,8117619,12071627,17168410,16637728,11605900,7725986,4890277,4890276,7725985,11605898,16637722,19178830 Dl.O(d2) = 47233626,58626313,71362965,81217867,269639689,44563081,35184799,27096021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16338873, s2 = 8292027, dlinesl.size( ) = 2 s1 = 16338873, s2 = 8292027, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16338873, Dl.E( ) = 94, 3.19e-05 seconds used appending s1 = 8309422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8012070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8217304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9829557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7826328, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14113221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113221, s2 = 8574767, int(edited[s2]) = 0 s1 = 14113221, s2 = 8574767, d1 = 31, d2 = 20 Dl.O(d1) = 145707706,132461129,118620618,104436238,256915518,76455405,70569617,57867754,57867755,61318096,49835135,39811983,39811984,49835137,41426310,41426309,51668383,63411657,76455407,85156980,71590028,257473813,37580141 Dl.O(d2) = 164791033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113221, s2 = 8574767, dlinesl.size( ) = 2 s1 = 14113221, s2 = 8574767, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14113221, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 15920232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 427649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 427649, s2 = 11088581, int(edited[s2]) = 0 s1 = 427649, s2 = 11088581, d1 = 7, d2 = 5 Dl.O(d1) = 10863158,7182285,4524677,2719764,2719765,4524703,7182334,10863224,15692143,15692133,15692132,21742866,29034446,22936979,22936980,30338142,31158171,37581733,30436902,23030233,16787612,11738080,7836940,4974655,4974656,7836944,11738085,16787621,23030238,30436906,39026402,48948970,39026362,30436870,23030214,23030213,30436866,36988443,36988444,37581629,29034299,29034298,37581624,46617849,36729925,29034387,21742819,254161228,7182317,4524693,4524695,7182324,10863205,15692112,21742840,21742857,21742858,29034409,37581754,37581762,30436860,30436859,39026350,48948962,39026396,30436897,30436898,30436888,23030222,16787605,16787606,21742827,29034401,37581739,47486915,39026387,39026386,47411695,37581468,29034182,21742686,21679632,21679634,28491491,28491490,28961689,37504858,28961708,21679666,15640296,15640297,21679672,28961712,37504891,29034436,21742854,21742833,15692107,15692105,15692120,10863210,10863207,15692118,21742846,29034425,37581779,39026334,30436843,23030204,23030205,30436846,39026338,47412425,37504896,37504895,39026370,30436880,23030217,23030218,30436884,39026377,39026344,30436853,30436852,28961071,21679174,21679173,28961068,21679638,15640277,10823183,7152903,4504540,2707024,2707025,4504543,7152909,10823195,15640304,21679682,28961728,37504909,47412436,37581789,37581746,37581745,47486919,58868457,58798599,48948951,48948950,47486941,47486940,47486943,58868472,58116418,254507746,40512900,31816661,31816662,30436840,30436839,254161234,44444400,48948974,48948973,50548665,50548664,48792429,47407534,47407535,47411700,47411699,50548594,40512820,31816599,24300770,17917594,17917595,15640286,10823186,10823185,15640283,21679648,28957140,28957141,28961700,21679661,15640291,15640292,21679664,28961705,37504861,37504862,40512944,31816716,31816715,40512940,50548684,50548688,254743536,50548591,58799325,60189054,50548662,40512911,31816678,24300829,24300828,31816673,38643432,30068209,30068210,38643436,47407540,37499998,28957092,28957091,37499993,28961076,21679178,17917606,12694548,8623944,8623943,12694544,17917600,24300774,21679644,21679643,21675957,21675954,21675955,28957147,28957162,37500066,47407601,37504876,37504868,28961697,28961698,31816719,24300856,24300859,31816724,40512954,50548692,50548644,40512892,31816654,24300814,24300816,24300838,17917652,12694597,12694596,17917648,17917655,24300843,31816697,40512862,40512861,50548632,58794672,50548669,40512916,38643438,30068215,22689283,16488827,11488453,11488454,12694536,17917591,21679188,28957138,21675948,21675949,15637511,10821252,10821253,15637517,21675975,28957164,37500073,47407610,50548699,40512958,31816730,24300864,17917664,17917665,24300870,28961058,37504150,38853297,40512888,40512885,31816652,31816646,24300810,17917640,12694593,12694592,17917636,24300807,31816638,40512874,40512870,40512869,38643420,38643421,40512919,31816686,31816685,28957089,21675910,15637488,15637486,16488825,22689279,24300768,21675987,15637523,10821260,7151564,4503629,4503628,7151560,268075289,15637482,15637483,21675904,28957080,254878416,37500075,28961051,28961052,37504146,47411684,47407617,37500087,37500089,47407573,254284434,24300763,24298927,24298928,31814351,40510370,47407613,58794663,47407524,47407523,58794662,62040577,50548695,40512955,31816727,31816726,40512883,40512817,31816596,31816597,28957122,21675938,15637501,10821247,7151557,7151556,255048225,21675926,28957105,37500013,47407558,40520660,31823686,30557634,30557636,28957109,28957108,37500017,40498832,31803663,31803664,39155171,30557625,23140286,23140287,30557631,24306894,17922689,17922688,17110506,17110505,23380706,30809117,39414275,37500068,37500067,31820335,24303991,24303990,31816772,254878426,17917740,24300918,31816775,40512990,47888493,37970178,37500022,37500023,30886243,30886245,39155237,31823692,24306906,24306907,19645169,19645167,23140245,16880089,11809959,7888632,5010163,5010164,7888636,7888654,7888653,11809990,16880117,23140271,16880122,16880120,23140279,24306898,17922693,12698757,12698758,12698760,267916912,12243647,255205704,254878422,31823743,24306976,17922786,17922785,17915967,17915966,254422096,39155240,254422204,16880277,16880278,17907572,17907573,14080636,9684975,6370385,6370383,9684970,7888642,5010169,3029453,1762689,1762690,3029457,5010175,7888657,11809998,16880133,23140298,21154831,15199407,10483355,10483356,8627337,8627339,8627336,8627335,12698768,17922711,23140318,23140317,30557651,24306974,17922783,12698847,8627385,8627386,12698850,17922788,22677674,27092324,35181034,29782651,29782652,23454042,17176603,12077109,8121143,8121142,12077107,10483151,6911512,6884564,4321760,4321759,6884560,5335380,5335382,8268808,11809977,7888645,7888646,11809980,16880104,15199355,15199356,15199362,12687870,8618625,5602975,5602977,8618630,12687872,17909266,23140345,16880168,11810011,7888662,7888661,11810005,16880152,23140333,17922772,12698840,12698841,17375635,16480721,16480722,22079247,22079248,22417055,16251761,16251760,16480730,16480731,15199457,10483392,10483393,10483400,6911678,6911676,8268825,5335390,3279656,1929102,1929100,254588281,12243607,254422142,11088392,11088393,15973745,22079374,23137926,29409765,22079265,15973613,11088262,7353523,4645047,2797987,1623072,1623071,2797984,2797971,2797972,4645018,267972671,11087224,11087225,11088435,15973785,11088671,11088672,11086072,11086073,11088681,11086922,267790268,4644280,4645330,2798164,1623169,1623167,2798023,1623092,922965,922964,1623088,2798011,2835452,4644492,2797662,254349573,7352672,11087218,15972528,11087263,11087264,15972568,22078312,22417224,16251937,11298855,7501517,7501515,11088485,7353713,7352684,4644500,2797669,1622885,1622886,2797670,2797655,2797656,4644483,7352660,11087200,15972495,15967685,255448041,12050625,8101732,5190627,4641879,2795832,2795831,4641875,7349281,7351869,7351870,11086229,15971402,22072695,15967666,11083115,7349340,4641918,2795854,267829113,4644355,4644356,4641901,4641902,7349318,5012050,3030715,3030714,5012047,7891147,11812873,16883300,254827866,11083089,11087179,7352642,7352643,11087181,15972497,11812621,7890913,5011839,3030538,1763327,1004558,1004559,1763333,3030541,4642125,7349580,11083117,7349341,5012003,5012005,7891108,254222686,15967729,15967733,11086139,11083101,7349321,4641905,2795849,1621684,922132,519843,519844,922134,1621687,2795853,4641916,267829126,4642149,2796017,1621790,922197,519884,519883,519847,519846,922138,1621697,1763338,1763301,1763302,3030513,5011809,7354106,4645488,4645487,7354103,11088877,15967739,15967730,11083193,7886781,7349302,4641891,2795839,1621675,922128,519841,519840,922124,1621670,2795826,4641870,4642440,2796221,1621939,922308,519956,519955,922303,922182,519896,291458,161247,88649,88647,161239,291440,519862,566088,317042,175295,96351,96350,175289,317033,566068,1004553,1763321,1763407,3030684,3030254,3029825,3029827,3028953,1762431,1762430,1058719,1004495,1004494,1763201,3030370,5011621,7890649,7887009,5009043,3028750,267739462,7887006,11807967,11807914,7886941,7886942,11807915,11812774,7891049,5011952,3030834,3030833,2796059,2796060,4642221,7349668,7286088,7286087,254329488,254329490,267880804,7285971,7286168,254157802,15878013,254084854,5011660,3030388,3030385,5011653,7890702,11812420,11006665,11006666,15878119,21168321,15210663,10492307,10492308,15205000,11083253,11083254,11811810,11811809,7890259,7286130,7286129,7890098,7350165,4642652,2796407,2796406,4642647,5011527,3030307,3030306,5011523,7286109,7286110,7349699,4642247,4642246,5011454,5011456,5009806,3029233,1762571,1762570,3029230,5009797,7888059,7285998,7285999,11006346,10487771,6915027,4343285,2600522,2600523,4343291,6915038,10487788,15204938,15204939,17956103,15206769,15206771,21163220,21163121,15206655,10489241,6916258,4344301,4344300,6916253,10489234,15110101,10422265,10422264,15110096,16250110,16250111,22414909,16882715,16882714,21971634,21971635,22072714,15967940,15967938,22072912,16879337,11809212,7888068,7888069,11809217,10487723,10487725,15204878,15206699,15206700,21163175,28380663,31801504,24287253,21161297,15204944,10487778,10487779,15204948,21161301,24287359,24287357,17913673,17913674,24296266,30557063,23139640,21163125,21163126,21036696,15110118,10422284,6871281,4313124,4313122,6871276,10422276,10489370,15206777,21163226,28234099,28234098,23138070,23138071,24287312,24287313,28380605,29403282,30557053,23139628,18921737,13489360,13489361,18921741,17145261,12049571,12049573,17145278,17906176,17906174,21162754,16418073,16418072,21036705,17906138,12685247,12685244,17906129,17913667,12691395,8621656,8621654,12691386,15205927,15205929,21162307,20814750,14918423,14918422,20814746,21971540,21971539,21036675,15110124,15110123,12694405,8623821,5607004,5607002,8623818,12694400,13358614,10422238,10422239,10422251,15110069,21036630,28234070,36727982,28234040,23139682,23139681,30447439,30447438,30853043,30853042,30853050,30853051,30260131,22864198,22864196,30260123,30260438,33069968,33293856,25532520,18921798,13489395,9229071,6044495,6044494,9229065,10258361,10258360,14918431 Dl.O(d2) = 25340241,18760215,18760069,18760071,23259454,18760053,13358610,9129597,5974466,5974467,9129600,8623807,5606996,5606997,8623811,12694395,16637591,22864892,30260885,33070048,42014114,38843633,30259821,22863926,16636766,11605195,7725546,7725545,11605189,16636760,22126265,16637578,16637579,22864875,30260867,37967783,29403758,29403759,30259825,25340207,18760187,13358709,13358707,18760183,25340189,25340188,33069937,40512780,31816500,24300630,24300628,30675528,30675529,25340049,18760046,18760047,25340053,30260244,22864292,16637082,255501209,30260242,38843980,255448210,38843993,30260262,22864302,19583967,19583968,16636747,11605181,11605180,16636741,22863897,30259791,22864866,22864867,30260864,37967754,29403741,22073340,15968269,11083708,268082341,22073345,23362581,23362580,25340194,25340196,33069947,39519001,30909826,23474116,23474117,30909828,39519003,33069841,255073656,37967758,37967779,29403757,29403756,22864290,22864289,268082352,22863899,255990114,29403751,37967773,42014040,48763536,38843969,30260229,30260230,38843974,39156380,39156381,49086066,47756185,37833590,30559086,30559085,37833652,37833655,47756223,48763228,38843611,36877293,28380912,21163436,21163437,28380915,36877297,37833725,29267588,21945370,21945369,29267514,22073357,15968279,15968280,15968293,11083719,11083720,15968298,22073389,29403790,37967796,35016553,26935200,20048981,14363196,14363195,20048975,26935192,35016541,44392746,48763551,38843991,30260256,30260254,38843985,47756165,37833572,29267432,21945245,21945239,15856377,15856378,21945255,29267446,29267521,37833658,47486468,39527578,30917286,30917284,23480321,23480319,23480316,30917277,23480328,21945374,15856450,15856449,15856441,10990278,10990279,12514559,12514558,17693821,254815172,37833721,37833720,47756281,254339008,37581646,47486845,58868399,47756180,37833586,37328767,37328766,30260000,22864107,16636922,11605325,7725632,7725631,5246139,254228274,7089572,7089571,10730025,15514564,258690737,255693714,254942078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 427649, s2 = 11088581, dlinesl.size( ) = 2 s1 = 427649, s2 = 11088581, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 427649, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 6502420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6502420, s2 = 610578, int(edited[s2]) = 0 s1 = 6502420, s2 = 610578, d1 = 250, d2 = 239 Dl.O(d1) = 255293198,21723093,21723092,255700858,21672547,15635231,15635232,15688034,255038125,255038127,21479295,28736551,21479271,21479269,15677450,11297847,7845702,7845703,8220610,8220611,12190451,17315089,17315098,17315097,23631056,29027370,21737071,15687839,15687840,18567728,18567727,21737041,17147424,17147423,17315231,17315244,12190558,12190555,17315236,20082223,21171794,28390953,29780934,38353558,40951428,37574044,29027188,21736923,21736926,20082451,20082450,15476390,10702347,10702348,10864027,15076924,20990274,15687857,15687858,21737097,17315079,17315076,23631018,24586035,23050146,23050148,23630436,17314643,17314644,23630442,31116874,37579564,29032296,29032299,21742052,21742051,29033575,23050452,20082373,14398803,14398804,20082377,26967406,21949649,21949653,27150223,20239676,20239673,15687772,15687771,21736985,20082482,20082480,17057642,17057641,23322790,20082061,14398607,14398611,14398743,14398741,20082279,26967279,29046116,29046118,29046202,21753058,15699575,15699577,21753066,29046218,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,257324185,257050922,58133940,269790023,258077583,74767019,88400503,85145931,269393542,47465423,37558240,29011863,21724731,15679293,10856808,7183766,4525728,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313 Dl.O(d2) = 10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,894921,505364,283291,283290,505357,895878,1575742,2719421,4522388,2719872,1576010,1576012,2289101,1328118,1328117,2289097,2721404,2721405,4527206,7177007,4521075,4521076,2721395,1576944,896523,505726,283473,283472,505720,896510,1576925,2715623,2718507,2718506,1576418,1576417,2720453,2720472,2720486,2716536,2716538,1575703,1575704,1576232,896136,505504,505506,505467,283347,156449,156441,156442,283325,504876,894965,1574008,1574512,2717273,4519418,4519417,7174694,7174699,7182547,4524845,4524841,4525444,4525443,7183295,4960098,4524313,2719501,2719498,4524309,7181783,10862442,15691027 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9794201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8306064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095365, s2 = 13319883, int(edited[s2]) = 0 s1 = 14095365, s2 = 13319883, d1 = 7, d2 = 5 Dl.O(d1) = 267965168,71365265,71365264,84941938,98868799,100508885,98868753,98868752,112856989,112857030,112856991,100508867,100508868,86546810,72947106,60207388,48810333,48810334,256875350,86546807,256875354,86546812,86546813,100508874,100508881,257455214,114539063,100508921,86546849,72947126,72947127,86546850,258690464,72947115,60207393,48810336,38887995,30302005,22903121,22903122,30302008,38888002,257573425,61274012,72947123,60207396,60207397,256875318,255842296,255040590,91903503,98868691,98868692,256334064,112856908,98868650,84941738,268616750,255410128,84941741,255842300,256334072,47235415,58628286,71365103,84941785,86859946,73247343,60500417,49096879,39166743,30568985,30568984,255134716,17744973,12555695,12555696,17744974,12565924,8520963,254375048,7369024,6165767,3858102,3858103,6165771,9410760,13736681,17462373,12310659,12310611,12310610,12236986,8262884,8262885,12236991,12590446,12590445,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869610,7075308,10709652,8541415,8541418,12589760,12539082,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588861,12586377,8538685,8538683,5598701,3858093,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282020,3275346,3275348,5328550,4868650,4868654,5328748,3275424,3275426,5328756,5507565,5507563,8507069,12547790,12601752,12613923,17727258,12541868,8502102,8502101,8502126,8502128,12541915,17727330,19700829,19700826,24067789,17711964,12555707,12555711,8512920,5511824,3399302,3399301,5511817,8512910,8512830,5511777,5511778,8512833,8613110,8613113,8510302,5510449,5510454,8510324,12551715,16056976,11149316,7394919,7394920,5549180,3434644,2031667,2031665,3434639,5549165,8550867,12600379,254174204,12552812,17363398,23683658,25326679,254107360,17142113,12528948,8490374,8490375,12528950,17711571,17730336,12543990,8503279,5503800,3392730,254411963,8503286,12544001,17730352,24087686,31591299,28212345,28212346,25464652,24151479,24151480,31200217,23712451,17388841,12611439,8560086,5557110,5557109,8543843,8543842,8274549,8274548,12251848,17386387,23709876,24168488,254411008,28205506,21013104,15092005,10408881,6861342,6861340,10408873,15091992,21013087,28205488,24060110,17705250,12523719,8485656,8485657,254441868,24060118,20150186,20150188,27042926,35129281,29751559,23645139,17900863,17900864,17900925,24281475,24104465,17745939,17745938,24104463,24281454,17900903,17900902,24281447,22825757,22825758,30218162,31694810,254559682,23711233,24138701,17774435,17774436,23796660,20193074,20193071,14488689,14488688,20193097,17813050,17813049,12616464,8563980,254418024,17819487,24187974,25130822,24082573,24082572,19701816,19701815,17819116,17819115,24187641,26441002,31642099,30448338,23040467,23040468,24059107,30040495,26439547,24187643,24187644,27041351,24063386,17708114,12526104,12526103,17708111,20015419,14335045,14335044,12615918,12615917,11965343,11965341,17056511,18863651,25463775,33211294,42170914,38808162,38808161,33211202,31691524,24182955,17814572,12612538,12612536,17814567,24182952,31591664,31692798,24184308,17815857,17815856,22664115,30039680,38614179,41757161,41757160,38803044,34319260,254773558,31588373,31645570,28231273,21034151,15107959,10420378,6869469,6869467,10420364,11581508,16605883,22826826,23041793,24083283,24103641,24103642,254870312,14456499,14456498,20149600,14454279,9944359,9944360,14128432,17448722,19705466,14129126,9720296,9720295,10029374,10029371,12529462,17712343,17359531,12229500,8257168,5326907,5326909,8257179,12229530,17359584,14332096,14332094,20011774,22510378,24207485,24207487,20012434,14332574,9845743,6466456,4051550,2424711,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713532,4713563,4713561,7459396,11238767,14127095,9719124,9719126,14127120,17065941,11975377,255144827,12599098,12599097,17041161,20011872,17779603,12582883,8535507,5533443,3418917,2018807,2018808,3299201,254401165,8316736,12312713,15734410,10897430,10897431,15734415,15739712,10900800,10900799,12582875,12582877,17779591,17040952,11954520,8002715,8002711,8002681,5094755,3092439,3092437,5094751,8002666,7961897,7961898,9740807,14169023,14169025,15735019,19781497,21793813,21793798,21793797,21065810,21065808,28268391,26893106,26893105,31280964,23794962,23794961,31280962,38234457 Dl.O(d2) = 37645572,47550897,58932865,71654515,85220187,257636644,126991531,140345916,258954126,129658465,142986765,133337988,125412813,111613787,97695223,83837598,83837597,97695222,268273454,255614456,57622423,256334100,83837659,83837616,70312786,70312787,70312780,57622388,57622389,70312782,83837608,70312816,257716624,46278036,257131566,70312792,83837619,97695225,83837652,70312821,70312822,70312827,57622424,257383141,36425313,27966773,20804292,14909975,14909973,20804289,27966767,36425302,46278024,57622401,270270581,97695235,111613800,111613804,97695241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095365, s2 = 13319883, dlinesl.size( ) = 2 s1 = 14095365, s2 = 13319883, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14095365, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 614906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6462485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6462485, s2 = 9539786, int(edited[s2]) = 0 s1 = 6462485, s2 = 9539786, d1 = 26, d2 = 0 Dl.O(d1) = 254771484,5603784,3479238,3479241,5603793,4768138,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281762,17425145,23750379,17424777,17424776,23750375,31233703,29213696,21899577,15820526,10963844,10963845,15820528,21899581,29213700,30265873,255071536,20280936,24699792,18230024,18230025,24699794,32313329,41126394,47696155,255071534,31286612,31286613,39961735,32537669,32537670,41388198,44762009,268830836,55671375,44761734,255754368,24571810,18130440,12855883,8742195,8742197,12855886,18130443,19794740,14178777,14178776,19794738,26600929,34587739,43858270,39123299,255882594,16849457,11783444,11783443,16849452,17897925,24278329,20280067,20280068,21898522,15819773,10963378,10963377,15819769,15945896,11065480,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130820,22281851,16137872,11210443,254522076,255434783,29214671,37776077,37959101,37774730,29212928,21898819,15819991,10963515,10963516,15819995,21898827,29212937,28938276,21659562,21659561,19794335,16920422,16920421,22824532,21659840,267789554,7143044,7143045,10810098,15623776,16601915,11578842,7707099,4877704,4877705,7707104,7707130,11578245,11578247,7706867,7706866,10678179,10678180,11804201,16873690,22054330,21407371,21407369,28649766,25881554,19222324,19222325,25881555,31267594,27246342,20314552,254986579,10031738,14578700,18875956,13451171,9198765,9198763,13451166,14578664,20314484,22942308,22942307,20314454,14578649,10031701,6592943,4830164,4130482,2470862,1428216,812446,812445,1428210,254319079,6592890,10031623,14578523,20314284,27246002,35370137,44794924,35370133,27245998,27245999,35370134,44794925,55702633,68100421,81590214,95623770,109827893,261009417,150646332,162742250,173744171,183515217,180882893,170743454,159395165,147013200,133763012,119891733,260867909,147013199,159395164 Dl.O(d2) = 133763013,119891733,260867909,147013198,159395164,147013205,133763016,119891736,105652265,105652264,119188736,104993820,90816221,76940280,76940281,259630157,119188739,261558460,101140239,101140240,115217006,129147389,135140426,121290717,106998035,106998034,258009240,133291693,119440836,105225120,105225119,119440835,133291694,146531296,158895925,170239619,180386995,189312278,263723458,205043700,261978580,161451134,259038310,269509320,256648670,65758033,53700862,43189118,34103417,26239949,254923948,53700861,268026060,26239948,19522697,13975487,9597537,9597538,9710940,13883522,14114515,14114514,19686528,254923928,255710059,268526623,14077648,9682678,255306595,26374692,34251836,43351890,53877025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6462485, s2 = 9539786, dlinesl.size( ) = 2 s1 = 6462485, s2 = 9539786, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6462485, Dl.E( ) = 32, 2.1e-05 seconds used appending s1 = 11109980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344395, s2 = 8048998, int(edited[s2]) = 0 s1 = 10344395, s2 = 8048998, d1 = 6, d2 = 56 Dl.O(d1) = 38098726 Dl.O(d2) = 30705913,39303809,39305506,38018758,38018757,39305550,39305549,49231415,39304669,39304666,39303768,30705875,30705876,39303773,48618349,48618347,39304644,39303617,30705758,23289594,23289595,30705763,39303623,48605243,47932627,47932628,49231237,49230645,39303680,39303681,30706819,23290577,23290576,22765167,22765168,30153034,38734934,39304415,30706589,23290396,17030808,17030806,16008893,11114477,11114474,16008887,22122757,17030215,17030213,23289714,23289736,17030963,17030965,23290599,30706843,30706861,23290608,23290607,30706855,30705883,23290321,23290322,30706498,39304330,39305514,30707780,30707779,30707786,39303607,30706441,30706442,39304292,36916582,36916583,38018715,36916623,28418751,21196410,15232286,15232288,21196417,28418760,36916629,46794415,39304430,30706606,23290414,23290408,30706597,30707705,23291374,17031565,11946035,11946033,17031561,23289722,17030266,11945063,11945061,11944980,11944981,17030164,17030838,17030836,23290436,30705935,30705934,39303291,39303292,39304607,30707349,23291025,23291023,30705371,23291373,17031559,11946030,7996037,7996038,5090081,5090082,7996053,11946057,11945855,11945856,11945416,11945415,15232281,15232282,17031030,17031031,21196390,23289839,17031298,17031300,23290027,23290023,17030479,11945208,11945209,11946039,11946038,17031567,23289782,17030264,17030158,11944977,7995346,7995344,11944972,17030003,11944877,11944878,11945279,17030579,23289397,17030026,17030027,23289402,23289401,23289282,17029879,11944770,11944771,7996045,5090078,3088855,1804054,1804030,1804027,3088814,5090017,7995933,11945862,17030894,11945536,7995767,7995768,11945630,11945100,11945101,17030320,11945212,7995498,5089765,5089763,7995492,11945201,13600534,11945115,7995432,7995431,11945109,17030340,11945275,7995531,7995529,11945270,11945297,11945294,7995538,7995537,11945287,17030031,11944895,255142155,255974947,17031144,17031143,23289234,18325244,13008252,11083735,8468203,7967750,7967752,11911508 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1144806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1145130, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2812930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11119962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1149817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1149817, s2 = 11546652, int(edited[s2]) = 0 s1 = 1149817, s2 = 11546652, d1 = 14, d2 = 73 Dl.O(d1) = 29388175 Dl.O(d2) = 273332691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1149817, s2 = 11546652, dlinesl.size( ) = 2 s1 = 1149817, s2 = 11546652, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1149817, Dl.E( ) = 98, 3.39e-05 seconds used appending s1 = 11088582, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8129226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8032398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1155525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8238759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14861745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 918252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 918252, s2 = 7871573, int(edited[s2]) = 0 s1 = 918252, s2 = 7871573, d1 = 31, d2 = 30 Dl.O(d1) = 23326682,268084666,28389874,28389925,28389924,28390006,28390007,21171034,15212555,10493583,6919581,4347060,2603487,1502422,851664,851663,1502418,2603482,4347047,6919563,6919564,10493549,15212504,21170974,28389930,30748183,29549968,22206215,22206213,29549959,28389782,21170837 Dl.O(d2) = 4619058,4619059,7316970,4964364,2998413,1741424,1741425,2998415,4964369,7822375,5461623,5461624,4611207,4611208,5300368,3251227,3251226,5300366,5219435,5219432,8147415,12116603,16888840,11817602,11817601,8153542,8153544,8153554,5224482,3187109,1865043,1063912,597998,333241,333240,597996,1063908,1865033,1864998,1063892,1063893,1865000,3187051,5221712,3185353,1864978,1864979,2999287,4965867,7369223,4655349,2804526,1626941,1626938,2804515,1676631,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737099,7493884,11287022,254585253,3256414,3256411,254355735,1656633,942583,531602,531600,942572,1656604,2854575,4736626,7493339,5306952,5306953,267995209,11037484,11482638,7637325,267976079,4735339,4735338,7491811,8221102,5291014,3242364,3242363,5291012,5306611,3256754,2232434,1294646,738935,420043,237090,237088,420036,738920,1294617,2232390,3728651,3268025,1921267,1097548,1097546,1921257,3266390,3266388,5240508,3199557,254180477,600467,334507,184004,184007,334522,600507,601369,1070125,1875868,1886100,1882501,1871957,1871956,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914887,919190,919105,919106,1608328,914996,914997,1608330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 918252, s2 = 7871573, dlinesl.size( ) = 2 s1 = 918252, s2 = 7871573, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 918252, Dl.E( ) = 58, 2.6e-05 seconds used appending s1 = 14138763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9794397, s2 = 13241824, int(edited[s2]) = 0 s1 = 9794397, s2 = 13241824, d1 = 13, d2 = 9 Dl.O(d1) = 15997962,15997964,22109712,29443367,38006304,32033228,32033230,32998196,29570938,29570937,38137042,48050337,48050028,38136639,38136640,38137081,29570963,22224358,16091222,11175953,11175952,16091221,22224357,29570961,38137078,48049687,48049688,41738941,32818056,255080864,29570326,29570327,33004009,41738898,32818003,32818004,41738899,38136854,29570705,22224083,16090980,267790046,29570701,25114337,18563948,18563949,22223987,16090883,11175692,11175693,16090885,22223989,29570215,29570216,22224350,16091215,11175949,11175951,16091218,22224354,29570076,29570854,29570369,22223750,16090696,11175638,11175637,16090804,22223780,29570397,38136567,32818005,25114341,255080788,37087514,37087515,46969014,41738860,32817951,32817950,41738858,32818010,32818009,38136742,48050122,48050137,41739001,41739002,254769640,18564062,18564056,13191763,13191762,18564054,25114486,25114546,18564099,18564100,25114548,32818234,41739092,52053576,52053546,52053545,41739109,32818257,25114576,25114575,22224816,16091619,11176274,7415105,7415106,11176277,13702778,19186945,25840572,33643823,41738836,48050127,48050128,48050078,38136699,38136700,48050080,59441850,65109661,65109662,63872594,52053697,41739033,32818168,25114490,18564057,255457346,32817894,25114241,18563886,18563888,25114245,32817903,41738819,32818159,25114483,18564052,13191761,13191760,255643941,32818153,41739026,52053689,255895412,32818174,256391546,63872622,76983299,63872588,255895474,32818155,25114481,18564059,13191765,13191767,18564061,25114493,257174621,63872619,76983405,78392448,65109573,65109572,78392447,90861388,76983402,63872612,52053708,52053709,63872586,255895472,90861294,105039804,90861385,76983396,63872610,52053705,41739037,32818170,32818169,41739035,52053700,63872600,54680279,54680278,66936629,62075520,62075522,74873658,68114038,65109608,53123970,53123971,65109610,78392472,256391648,257513916,78387806,257513794,78387778,256933728,42665440,42665439,43932212,43932213,256391760,48049855,255457588,22223671,16090632,11175513,7414591,7414590,11175509,16090621,22223653,29570256,255895582,59441648,72180190,270839251,257746874,59520394,72254302,72180191,65103867,256939824,257514038,59441610,59441609,64049403,71895814,257539726,55205508,55205509,256055560,256055558,53117431,257514146,78387751,78387657,65103981,65103980,268943464,44354799,44354800,255901240,39220242,49146687,53117311,65104031,78387685,92424866,86899959,73289345,60546034,49146696,39220250,256093042,38223190,48133217,59520395,60546363,49147084,49147083,51767694,51767693,60300596,60300595,73038901,73289337,60546045,49146707,39220262,30622973,23201015,255411522,11850175,16931608,23201013,30622971,39220259,49146702,60546040,73289340,60546025,49147089,39220698,30623351,30623350,268277928,255622320,29657129,38223193,255226144,38223050,38223051,37698091,29137335,29137336,32947472,32947471,41881467,41881460,41881459,46386798,38223047,38223045,29657098,29657099,38223161,48133170,254635612,41608390 Dl.O(d2) = 19694400,14121018,254679305,4010974,267782189,447983,252065,252066,447986,791027,1391020,2403865,4011005,6391326,9715210,14120787,14120786,9715200,6391316,6391315,9715197,14121174,14121056,9715125,9715126,14121060,19694450,26432504,34310148,34310520,26432622,19694570,14121163,14120834,14120833,14120954,14120953,19694323,17183559,17183562,19694261,15800439,15800438,11225411,11225410,14120921,9715034,6391229,6391228,9715028,14120911,19694272,22302716,16157050,11225386,11225385,14121134,14121136,9715173,9715176,9714994,6391207,4010945,2403834,1390999,1391000,2403835,4010946,6391208,9714997,255309613,19694192,254960267,9714995,14120858,19694195,26432241,256079684,33649199,27025788,27025789,35112161,29169457,21860038,15787590,10937404,10937403,15787587,21860034,26432244,26432243,21860059,15787611,10937420,7236945,7236948,10937427,15787626,15787703,10937475,10937476,15787706,21860179,26432423,26432256,25825035,25825034,31338787,33649201,29660590,22308277,16161568,11228729,11228730,16161570,22308280,29660595,255901749,255901751,21860035,16161534,11228700,11228699,255463519,21860074,21860073,16732351,16732352,20133663,23550179,23550178,17504689,13908137,9545248,9545250,13908143,19436937,15787660,15787659,15602049,11225400,7448320,7448319,6528484,4090605,2447302,1414998,1414999,2447309,4090619,6528521,9933446,10596297,15341033,16157122,16089772,11174986,11174987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9794397, s2 = 13241824, dlinesl.size( ) = 2 s1 = 9794397, s2 = 13241824, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9794397, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 13183299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973629, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 64093, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14102543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14102543, s2 = 7916321, int(edited[s2]) = 0 s1 = 14102543, s2 = 7916321, d1 = 13, d2 = 9 Dl.O(d1) = 259966342,99389973,85449165,71864113,59125639,59125640,71864114,85449168,99389977,113390859,127249524,140595814,153276594,151487355,260617836,125457029,115202348,269818898,258150340,115202347,101124600,87126485,87126484,101124591,87126478,257541306,73507621,73507620,87126487,101124602,101124604,87126490,87126491,87126477,73507611,257541304,87126465,73507601,60758434,60758435,60758432,60758431,73507595,87126455,101124572,115202329,101124579,101124580,115202336,129133881,129133882,142511085,143520007,130190346,130190348,261855723,262143730,143520016,143520017,260742619,116351697,259781090,109355213,109355204,109355205,259781086,102257215,259153398,258283783,50352397,50352398,61836572,257674749,40325449,31636116,24129041,24129042,269004287,258906449,257674741,40325427,31636093,31636094,40325428,40325436,40325435,40325432,31636098,31636097,35073411,40325439,31636118,31636119,256543737,24129026,24129025,31636080,268687797,24129038,24129037,31636110,40325444,258283781,74628819,81096094,81096093,258906455,74628822,73098272,60359916,60359915,73098271,86701760,100674928,88259038,74628817,74628818,259436947,86701786,73098304,257581923,39043222,39043223,48964693,60359942,73098309,60359944,258189625,81033574,67564437,67564436,61792087,50311738,42209539,38187553,38187554,42209526,42209531,38187533,38187532,48099089,59487652,71291970,58559933,47171006,37264983,37264982,47171004,58559931,71291969,84866275,86428376,85933136,72339335,257430028,48700624,48700625,60096604,64445268,64445267,61770751,50290932,50290933,48099262,38187636,255899183,255899171,22269668,29620569,38187406,48098879,52002875,48099069,38187523,29620628,29620627,38187519,48099062,59487621,52299424,41958432,41958434,52299431,59487844,59487845,71291960,72833711,64151783,64151782,59487436,48099447,48099448,59488104,59604692,48217793,40191297,38778261,38778262,41691245,41691244,50213388,61695188,71292094,58560058,58560059,59487838,48099222,38187614,29620675,22269719,16128515,16128517,22269724,29620686,38187630,48099251,48570876,38654956,38654955,48098995,52701944,42314748,42314747,52701939,64602570,59487593,48099347,38187695,38187696,33015896,25290522,18717339,18717340,25290526,33015906,41958501,52299526,50213334,50213333,61695138,50213448,40191331,31506012,24006895,24006896,31506018,34629201,34629200,26639409,26639408,34629243,43901658,54644826,54644862,50213382,40191290,31505993,31505992,38187577,38187579,48099169,52002920,41691236,41691238,50531725,50531726,43357278,43357277,53881750,48099203,48099201,59487805,49188395,49188394,48098886,48098884,52867032,52299461,41958458,41958460,52299468,59530702,52299518,52299517,64151778,70966243,72700845,62023615,50531661,50213426 Dl.O(d2) = 19071197,13615080,13615079,9637686,254954725,19571692,26293646,268657874,19119076,13650529,13650531,19119078,25757614,33546364,42562746,53002683,64977562,78251011,92278230,106576446,269329318,147752064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102543, s2 = 7916321, dlinesl.size( ) = 2 s1 = 14102543, s2 = 7916321, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14102543, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 10181080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8293448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8293448, s2 = 9140102, int(edited[s2]) = 0 s1 = 8293448, s2 = 9140102, d1 = 1, d2 = 1 Dl.O(d1) = 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4968,5324970,8254330,12225641,17354555,17354829,17354830,255163997,12225792,17354813,23674336,23674337,31162738,23674184,23674185,31162740,28878608,28878607,37420245,37420242,37420243,31162879,31162880,39845471,39106918,31162904,28878624,28878625,28878631,28878630,23098925,19422951,19422952,26116234,30514753,30846802,31162851,31157007,23674352,17354761,17354758,23674349,22189430,16842902,11778727,7864315,4991808,4991806,7864310,11778718,16842889,16061886,11152735,11152737,16061893,22189449,29532257,34295706,30509977,23094699,23094697,28934973,21657072,15621829,15621828,21657071,28934971,37476503,47383896,58770967,71500331,85072344,98997850,112957140,98967791,85042705,85042706,270282796,91413981,77483336,64319443,52451887,52451886,64319441,77483333,91413978,105639733,105408569,91186544,77267256,64120207,64120208,77267259,91186548,86679456,73074869,73074867,84083126,97956990,89400933,75639932,62695903,51066879,40926291,40926290,51066878,256667426,42642196,42642193,33615374,25815624,25815625,19166315,13686427,13686426,19166313,25245378,18675062,18675061,24554813,18117537,18117541,24554820,30788497,30788498,25245452,18675127,18675128,24558267,24558266,32138585,256471200,41906809,32967388,25245408,18675084,18117725,16146358,16146359,12849106,8737579,5688275,5688274,8737575,12849101,18120992,24559400 Dl.O(d2) = 23915243,17572691,12400823,8380694,8380695,12400827,10723982,10723983,15506439,21517270,23038515,22555597,16378039,11398482,7573746,7573745,11398481,16378037,15472079,15472078,21474649,28732212,21576917,16595784,11574393,11574394,7704187,7704186,11574406,15782826,15782825,21853960,22186406,22186405,29528867,255523418,11574646,11574647,16596149,22814689,30206367,22814653,22814654,28459952,22329094,16182885,16182887,17461730,23793650,268994191,39954193,49970649,47387693,37480046,28938011,21659341,15623396,10809842,7142904,4497458,4497461,7142909,10809852,15623409,15665891,21707673,21707619,18644108,13256703,13256702,18644103,21659347,21792259,15733784,15733783,21792254,25858610,19201149,13713258,13713259,19201154,25858619,33664941,42695794,41190375,32371991,24753522,24753524,28991868,22274411,16132161,11714779,11714780,15623449,15665835,11210572,7438363,7438364,10809929,7142958,4497479,2702387,2702386,4497474,7142950,10809915,15623507,21659495,21707682,28015992,28015991,36476713,46332181,39131651,30533048,28938206,21659501,15623511,15623510,21659498,21707666,21707667,28991902,37536991,29579715,22231906,16097092,11180414,7418060,7418059,11180409,16097088,22231903,29579712,36833765,30533099,23114482,16855274,16855275,23114487,30533105,36476703,39131628,30533004,30507342,30438058,28991887,28991885,37536978,47444954,37536967,28991872,21707644,21707645,16927487,16927486,18208918,24672762,21707634,15665869,10844819,10844820,15665872,21707596,23194580,23194581,28938166,28938167,30533166,39131775,49061549,47444912,37536919,37480032,256335953,21544628,15527751,10739238,7095555,7095554,10739234,255411539,28812465,37351010,30615662,23195170,16927455,16927454,23195168,30615658,39212218,49139024,60539042,73283064,85819969,85819968,89695315,75918728,62939763,51266505,51266506,50546183,40510470,40510471,50546186,49729566,257626741,60464642,62939751,72043066,73283024,62938187,51264739,41087548,32279590,24671265,256076035,37420642,37420641,30636866,23213952,16942137,255523457,18208965,16942120,16942119,18209050,12915151,8785465,5721935,5721934,254892367,18209042,24672907,32281503,257138947,41087778,41087817,51264942,49390872,49390873,41088507,41088506,48694108,38772140,30188696,22799029,16582170,11562471,7695223,4869961,4869960,4869943,2934558,1701924,1701923,1701221,967115,967116,1701226,2933241,4867767,7692203,11558975,11607170,16639429,11626707,11626708,11558968,8625163,8625164,11424496,254958646,17918309,22795209,267868548,7692642,254795167,11554298,7688180,267832887,1700249,1700248,2931549,4865025,2951449,2951450,2957447,1714873,974358,974360,1714634,1714602,1714601,2956973,2897190,2897192,4807061,4871095,4871093,4820146,2904665,1684926,958049,958048,1684922,2904656,4820136,6080045,3804417,2278891,2278888,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,142747,142744,257655,254116893,1417598,254317157,6542670,8729690,12837567,18104928,20025369,20024373,14342268,14342267,20024369,26907956,34988715,29941234,22578187,22578188,29941239,38504958,48410675,38772097,255938351,22578173,22578170,29941210,38504909,48410706,38626137,30052236,255487651,11481751,7636535,4831151,2911104,1688775,960389,960392,1688790,2911136,4831203,255078315,16060724,255877031,255877033,22267441,22267440,29618589,38092726,29529082,22266742,16125534,254811104,255517148,29618740,29618211,29618212,29618741,255460547,11202572,11202571,15879510,21973519,16127105,11202954,11202957,11202187,11202186,16058675,16058674,16934645,16125242,11201401,11201400,16058922,22185988,28814803,29618047,29618048,29528204,22185727,22185728,16058661,16058663,11201920,7432825,4696804,2829883,1641902,1641904,2829891,4696830,4697019,7432803,7432802,11201438,11150172,7395508,4672039,4672040,7395512,11150184,16058527,22185626,22266103,16126386,16126387,22267476,16126398,16126396,22267484,22268359,22268360,29619245,38091880,255891353,16058718,16058719,255891355,256396226,29528440,29619054,29618221,22267102,22267104,16934619,11852250,7921575,5036210,3049264,3049265,5036218,7921592,11852282,11849625,7919883,5035247,5035245,7919879,11849586,16930784,23199964,30621783,38092869,29631528,22279647,16136269,254771701,4699645,2831412,2831413,4699647,7437555,255084065,22279650,29631531,29631532,38198044,38198111,46707262,46707263,58078928,48109061,38198116,29631631,29631630,38198114,48010698,257510599,48011169,256938382,38100495,38100496,48011168,59398757,72129344,70796106,59398706,48011012,48011013,39218976,38185708,29618608,29618609,36825356,36825341,28329749,28329745,28329743,29619346,38185600,38185601,36825272,28329686,21119003,21119002,16378533,16378532,22556195,29913598,38471780,46707203,36825160,28329583,21118919,15171861,15171860,21118917,22192673,29535909,29535917,29535552,22192301,22192299,29535546,22953061,22953062,30354881,38099482,38099484,29536908,29536909,38100572,48011221,59398790,268635172,59918289,48524968,48373422,38471820,38471821,48373425,39264509,38099476,38099475,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8293448, s2 = 9140102, dlinesl.size( ) = 2 s1 = 8293448, s2 = 9140102, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8293448, Dl.E( ) = 2, 1.6e-05 seconds used appending s1 = 11072082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072082, s2 = 6519163, int(edited[s2]) = 0 s1 = 11072082, s2 = 6519163, d1 = 9, d2 = 3 Dl.O(d1) = 44822775,35396882,255878888 Dl.O(d2) = 255497673,30213723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072082, s2 = 6519163, dlinesl.size( ) = 2 s1 = 11072082, s2 = 6519163, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11072082, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 8208861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 872399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14021665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14021665, s2 = 9143817, int(edited[s2]) = 0 s1 = 14021665, s2 = 9143817, d1 = 1, d2 = 1 Dl.O(d1) = 24083381,17726085,12541079,12541078,17726075,17795274,12596000,12595996,17795258,14454287,14454286,20149606,27042400,24074680,24074679,17828675,12623969,8570107,8570108,12623970,17828678,24197964,31705621,29662774,22310121,22310122,24068125,20152422,14456497,9945708,9945709,14456498,20152423,23040594,24067862,17712028,12529287,12529288,17712030,17798780,18841343,18841342,17798613,16469626,11475228,11475230,16469635,22316783,20310360,20310358,23694079,23694076,31183941,26893364,20012180,14332393,14332391,10897074,7207267,7207269,10897078,15733871,21792383,29090440,37640942,42125357,42170904,47547320,47547321,43421066,34320943,26443800,26443798,34320941,43421064,38234243,29668607,22317116,22317115,18832945,14575215,10029309,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331966,17372124,23694457,29667501,23694478,17372137,12240057,8265617,5332983,254587963,12240051,15739508,10900666,10900667,15739511,15130971,10436055,10436056,15130973,21064966,28267706,29094423,29092063,29092064,30100483,29096787,29096788,28268261,21065626,15131500,15131501,10898872,7208295,7208293,10898869,15736705,21795953,16677291,16677293,22909656,21796894,15737510,10899372,7208569,4541961,2730348,1582060,1582061,2730349,4318264,4318265,6879317,10435009,10899378,15737517,15129071,15129070,21062402,21063659,28266437,28267544,21064793,15130856,10435995,10435996,15130834,10435984,254275200,21064770,21063321,21063322,28266049,31442682,40121925,46648092,46648091 Dl.O(d2) = 24083381,17726085,12541079,12541078,17726075,17795274,12596000,12595996,17795258,14454287,14454286,20149606,27042400,24074680,24074679,17828675,12623969,8570107,8570108,12623970,17828678,24197964,31705621,29662774,22310121,22310122,24068125,20152422,14456497,9945708,9945709,14456498,20152423,23040594,24067862,17712028,12529287,12529288,17712030,17798780,18841343,18841342,17798613,16469626,11475228,11475230,16469635,22316783,20310360,20310358,23694079,23694076,31183941,26893364,20012180,14332393,14332391,10897074,7207267,7207269,10897078,15733871,21792383,29090440,37640942,42125357,42170904,47547320,47547321,43421066,34320943,26443800,26443798,34320941,43421064,38234243,29668607,22317116,22317115,18832945,14575215,10029309,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331966,17372124,23694457,29667501,23694478,17372137,12240057,8265617,5332983,254587963,12240051,15739508,10900666,10900667,15739511,15130971,10436055,10436056,15130973,21064966,28267706,29094423,29092063,29092064,30100483,29096787,29096788,28268261,21065626,15131500,15131501,10898872,7208295,7208293,10898869,15736705,21795953,16677291,16677293,22909656,21796894,15737510,10899372,7208569,4541961,2730348,1582060,1582061,2730349,4318264,4318265,6879317,10435009,10899378,15737517,15129071,15129070,21062402,21063659,28266437,28267544,21064793,15130856,10435995,10435996,15130834,10435984,254275200,21064770,21063321,21063322,28266049,31442682,40121925,46648092,46648091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14021665, s2 = 9143817, dlinesl.size( ) = 2 s1 = 14021665, s2 = 9143817, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14021665, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7832335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 929935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 929935, s2 = 16180932, int(edited[s2]) = 0 s1 = 929935, s2 = 16180932, d1 = 47, d2 = 35 Dl.O(d1) = 23612380,31096196,39774451,46692297,43894825,34623013,26633789,19822375,19822374,21599067,28874536,29692618,22339749,22339747,29692626,30183130,30183131,36808634,28311763,21101462,15157347,10453191,10453192,15157350,21101470,28311777,36808606,28311743,28311741,29408248,31096560,31096561,39774695,49794272,48338405,47341316,37433867,28892429,254742028,39296421,30698835,23283247,17024005,17024007,17807958,12606751,8555788,5552759,3437253,2033353,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,11555621,9115923,9115920,7695600,4870265,4870261,7695591,8624564,5607630,3482325,2067144,1186555,1186554,2067142,254422725,8624559,7596522,7596523,9144239,5983937,5983935,4899936,4899937,7738892,11620380,15519263,10733225,7091607,7091608,9146728,254794187,254794189,15930955,11054118,7329592,4630214,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627 Dl.O(d2) = 36453719,46306615,42814863,33782248,27250963,20318242,255761399,27250964,35322004,27198353,27198352,268919280,47734093,37811933,29247249,21927004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 929935, s2 = 16180932, dlinesl.size( ) = 2 s1 = 929935, s2 = 16180932, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 929935, Dl.E( ) = 48, 2.1e-05 seconds used appending s1 = 7897548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7897548, s2 = 1852706, int(edited[s2]) = 0 s1 = 7897548, s2 = 1852706, d1 = 0, d2 = 14 Dl.O(d1) = 16641104,11608921,7728699,4892288,4892289,7728701,11608925,16641113,22868989,30265505,30542297,23123920,16864186,11796120,11651619,11651618,16690635,22925070,26393856,19659538,14091780,12177117,12177118,17298887,16690653,11651632,7763559,7763560,11651635,16690659,22925095,23124297,30542716,29286357,29286359,29730373,22373393 Dl.O(d2) = 331132,594012,1056461,1851149,3162239,254573169,11161317,7403499,4677197,2817791,1634736,929636,524012,524011,929634,1634733,2817782,4677181,7403466,7403501,11161319,16073100,22202481,29545906,38109194,48019305,59406174,59580271,48193815,38284495,38284497,38663296,30086043,30086044,28492705,28492706,22170803,22170802,29511934,31162281,39844967,49867598,61349650,74131415,87737134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7897548, s2 = 1852706, dlinesl.size( ) = 2 s1 = 7897548, s2 = 1852706, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7897548, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 14037972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1168167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8373652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9754487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 900303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9580376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9818567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6575348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8318786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2879491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7878568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9812451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 362003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14073187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14073187, s2 = 6967011, int(edited[s2]) = 0 s1 = 14073187, s2 = 6967011, d1 = 25, d2 = 20 Dl.O(d1) = 57990322,268445470,36726635,36726634,36726636,28232945,21035830,21035829,15109513,10421786,10421785,15109509,11149262,7394880,4671682,4671685,7394895,11149272,12047695,17142483,23418691,23418803,17142599,17142602,12554856,8512187,8512189,12554864,8539916,8499819,8499822,8546587,8499849,8499851,12538592,12551820,17739711,24097262,17847462,17847461,254281146,18887087,18887088,24063356,17744793,17744795,24103347,22796064,16579361,11559898,7693083,7693082,11559895,16579360,17772220,12577179,12577178,267848972,24097559,30707460,25889545,19229956,19229955,24165003,24165004,267740862,12624920,17829814,24199043,31706493,24218118,268399355,11112273,11112274,13169326,8976982,5860502,3658578,3658577,5567555,5567556,8571605,12625660,16894992,23156305,30573672,24095443,17737289,12550105,8509293,8509292,12550104,254356526,12525892,12611956,8560492,5557501,3441987,3441984,5557494,8560485,12611945,17813903,24182318,31663024,25526970,18917441,13486276,9226900,6042779,6042778,9226897,13486269,18917432,17750883,17744763,17744762,24103319,17819578,17819579,24188044,17900315,17900314,24104609,17746076,12556515,8513191,8513190,12556512,8581386,5575726,3459050,3459052,5575737,8581409,12639038,17847696,17847693,23682275,23682274,24084427,17727097,12541745,8502042,8502043,12541725,12541726,17727066,24084398,17793387,12594370,12594369,17793385,23155634,16894325,12523123,8484971,5485640,3376402,3376403,5485641,8484972,12523125,8502078,5503177,5503178,8502080,7894709,5015508,5015509,7894710,11816701,12615912,8563628,8563627,6017016,6017015,9191441,13442196,17900566,12680451,12680450,17900564,24281104,31560708,31560707,31645544,254299784,254299786,31677641,30218904,22826502,22826503,254606272,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190101,13440547,14126315,9718618,9718574,9718573,12632722,12632720,13440045,9845571,6466368,4051518,4051519,6466372,9845582,9191917,9191922,13442695,15889052,12624026,8570149,5565911,3449635,2043232,2043231,2449870,1416454,1416456,1175427,1175426,2049522,3457206,5573141,8577349,12632652,14979466,12556725,12556727,17746353,24104853,22665110,16470202,11475620,11475618,16470195,22665100,30040425,24179297,24179296,20976946,15065598,14456320,14456319,20152204,255086150,22664855,16469988,11475485,11475482,10757516,10757513,15553533,21576742,19705146,14128892,14128893,19705135,19704795,14128611,9720001,6394192,6394189,9719989,14128582,11743775,11743776,9945420,9945422,9944281,9944285,14454150,14454206,20149494,17712187,17712188,17836938,16171695,11239200,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,25131104,26442664,254773530,35364348,256032988,20150798,20150797,20310211,17359531,12229500,8257168,5326907,5326909,8257179,12229530,17359584,14332096,14332094,20011774,22510378,24207485,24207487,20012434,14332574,9845743,6466456,4051550,2424711,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713532,4713563,4713561,7459396,11238767,14127095,9719124,254399474,19702702,22182989,22182988,27240694,254529334,16056404,17799084,24166769,31676022,37645692,39939108,268528255,15131658,15131659,21065839,22316932,22310258,22310257,21797391,21785406,15726848,10890383,10890384,7451773,6591407,6591408,10029464,14575451,17370227,23692883,24277671,17897262,15734215,15734214,16219407,15131071,15129025,15129029,15130107,15130106,15130059,10435546,10435545,15130058,15130127,15130132,15130131,15735400,10898075,7207857,7207856,10898071,11275047,11275049,15129986,268201341,21793590 Dl.O(d2) = 260711884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14073187, s2 = 6967011, dlinesl.size( ) = 2 s1 = 14073187, s2 = 6967011, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14073187, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 9817163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8029244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8029244, s2 = 14909504, int(edited[s2]) = 0 s1 = 8029244, s2 = 14909504, d1 = 0, d2 = 0 Dl.O(d1) = 47807167,38923268,38923267,38923335,30337046,30337047,38923346,30653010,23231654,16958972,16958973,23231659,268406720,49174013,48843149,38922676,37474423,28932891,21655311,21655310,28932889,30336741,22935894,22935897,30336744,22935925,16701016,11661593,11661592,15829419,15829420,19538951,19538952,26257751,34123169,38923009,30336752,22935900,22935901,30336759,37475374,37475385,28933859,28933848,28933850,37475371,47382718,38923327,30337033,22936114,22936113,30337031,38923324,48843746,39248853,30653005,23231652,23231651,30653002,39248847,49174001,60237377,48843142,38922673,38922672,47381782,47381784,38922675,38922674,38922998,38922997,48843458,60237657,71847286,85433064,79133935,65779162,53722452,43210543,34123163,34123164,43210544,53722455,65779164,268962774,48843136,48843471,58769818,47382728,37475377,37475379,47382730,58769806,58769805,48843748,48843751,48843743,38923321,38923320,47388731,257575589,38923001,38923002,48843463,49174003,60572836,73315659,72125539,59394435,48005957,48005958,58768996,47710605,37789600,29227608,21911488,21911489,29227612,256907853,59108616,58775909,58775908,49173995,49173996,53722450,47438774,37530652,28986088,28986087,37530647,47438771,58825450,60237663,58775897,47388744,37481135,37481136,47388748,58775901,71499195,58825483,47438808,47438807,58825481,58775880,47438776,37530654,28986090,21702896,15662068,15662069,21702899,28986096,37530671,47438817,257575584,58768887,58768888,60237830,59560689,48174035,38264423,256943823,59560692,65129487,78411121,85887727,72295066,59560686,48174032,38264422,38264421,48174031,59560683,71498375,67738194,67738195,71553491,67738192,67738191,81202773,86576049,72978486,60242219,60242220,71498606,58769204,47382055,47382056,58769207,58825464,47438791,37530658,37530657,47438785,58825460,71553483,85124254,98996132,85070468,71498372,58768912,58768911,58768937,256995158,256995475,38928369,48848509,60242224,58769229,47382075,47382074,58769226,58769224,47388692,37481095,37481094,47388688,58775851,71505137,71505159,58775872,58775871,71505153,67738198,55399156,55399155,47381689,47381690,47382062,37474690,37474691,47382064,47382070,48843987,38923588,38923587,48843991,58775838,58775839,71498383,58768923,47381701,37474341,28932811,21655237,15620399,10807694,10807693,11661637,16701080,22936006,30336825,22935951,16701040,11661608,11661610,16701043,22935956,30336829,30337054,30337055,38923352,34583019,29821240,22936025,22936024,30336916,38393579,38923595,47354728,37481122,28939143,21660307,21655523,15620589,10807823,7141496,7141495,7143316,4497771,4497769,7143311,10810400,15624170,21660302,28933147,28933148,22936270,16701275,11661745,11661744,16701271,15620416,10807708,7141442,7141441,10807703,15620407,21655248,22935963,16701049,11661620,7772884,4925683,2970879,2970882,4925689,7772900,268095923,30336933,37349013,28810521,28810522,37349015,40499166,31804037,31804038,40138844,40138843,50162201,61646243,74428163,74428168,71470911,58741184,47353574,37447015,37447014,257462747,37446987,37446988,47353550,51316641,41133031,32319250,24704802,18234025,12933568,12933567,13802388,13802389,13802392,268763643,25022208,256897574 Dl.O(d2) = 47807167,38923268,38923267,38923335,30337046,30337047,38923346,30653010,23231654,16958972,16958973,23231659,268406720,49174013,48843149,38922676,37474423,28932891,21655311,21655310,28932889,30336741,22935894,22935897,30336744,22935925,16701016,11661593,11661592,15829419,15829420,19538951,19538952,26257751,34123169,38923009,30336752,22935900,22935901,30336759,37475374,37475385,28933859,28933848,28933850,37475371,47382718,38923327,30337033,22936114,22936113,30337031,38923324,48843746,39248853,30653005,23231652,23231651,30653002,39248847,49174001,60237377,48843142,38922673,38922672,47381782,47381784,38922675,38922674,38922998,38922997,48843458,60237657,71847286,85433064,79133935,65779162,53722452,43210543,34123163,34123164,43210544,53722455,65779164,268962774,48843136,48843471,58769818,47382728,37475377,37475379,47382730,58769806,58769805,48843748,48843751,48843743,38923321,38923320,47388731,257575589,38923001,38923002,48843463,49174003,60572836,73315659,72125539,59394435,48005957,48005958,58768996,47710605,37789600,29227608,21911488,21911489,29227612,256907853,59108616,58775909,58775908,49173995,49173996,53722450,47438774,37530652,28986088,28986087,37530647,47438771,58825450,60237663,58775897,47388744,37481135,37481136,47388748,58775901,71499195,58825483,47438808,47438807,58825481,58775880,47438776,37530654,28986090,21702896,15662068,15662069,21702899,28986096,37530671,47438817,257575584,58768887,58768888,60237830,59560689,48174035,38264423,256943823,59560692,65129487,78411121,85887727,72295066,59560686,48174032,38264422,38264421,48174031,59560683,71498375,67738194,67738195,71553491,67738192,67738191,81202773,86576049,72978486,60242219,60242220,71498606,58769204,47382055,47382056,58769207,58825464,47438791,37530658,37530657,47438785,58825460,71553483,85124254,98996132,85070468,71498372,58768912,58768911,58768937,256995158,256995475,38928369,48848509,60242224,58769229,47382075,47382074,58769226,58769224,47388692,37481095,37481094,47388688,58775851,71505137,71505159,58775872,58775871,71505153,67738198,55399156,55399155,47381689,47381690,47382062,37474690,37474691,47382064,47382070,48843987,38923588,38923587,48843991,58775838,58775839,71498383,58768923,47381701,37474341,28932811,21655237,15620399,10807694,10807693,11661637,16701080,22936006,30336825,22935951,16701040,11661608,11661610,16701043,22935956,30336829,30337054,30337055,38923352,34583019,29821240,22936025,22936024,30336916,38393579,38923595,47354728,37481122,28939143,21660307,21655523,15620589,10807823,7141496,7141495,7143316,4497771,4497769,7143311,10810400,15624170,21660302,28933147,28933148,22936270,16701275,11661745,11661744,16701271,15620416,10807708,7141442,7141441,10807703,15620407,21655248,22935963,16701049,11661620,7772884,4925683,2970879,2970882,4925689,7772900,268095923,30336933,37349013,28810521,28810522,37349015,40499166,31804037,31804038,40138844,40138843,50162201,61646243,74428163,74428168,71470911,58741184,47353574,37447015,37447014,257462747,37446987,37446988,47353550,51316641,41133031,32319250,24704802,18234025,12933568,12933567,13802388,13802389,13802392,268763643,25022208,256897574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8029244, s2 = 14909504, dlinesl.size( ) = 2 s1 = 8029244, s2 = 14909504, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8029244, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7868003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1199794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14043540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 208003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7636945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16301203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14868700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14868700, s2 = 13392330, int(edited[s2]) = 0 s1 = 14868700, s2 = 13392330, d1 = 52, d2 = 59 Dl.O(d1) = 19823009,14199614,14199615,254694393,4110629,4110630,3755035,2248826,1304558,1304557,2248823,3755032,6004336,9173706,13417161,18831680,20217785,14507909,9983058,9983059,14507910,10873249,10873251,15706878,255676845,9290263,9290262,255272507,9983043,254982261,20217758,21762893,21762894,29058296,35213519,27121109,27121108,29058285,21762880,15706863,10873240,10873241,7189041,7189040,10873243,15706867,21762886,25626652,25626651,256354133,21762960,15706916,15706917,20217766,27121134,21762904,15706880,15706879,13568945,13568946,13417138,10873285,7189066,4529167,2722548,1577674,1577673,2722546,4529157,2722543,2722542,4529155,7189045,10873255,15706884,21762913,29058278,21762873,15706857,15706856,21762869,29058274,33167524,25424886,18831648,18831647,25424884,27121127,21762887,21762888,29058289,37607479,47512305,47512323,42379911,33391766,25626661,19011804,13568940,13568941,19011806,256735795 Dl.O(d2) = 66878536,59290385,54620766,47894804,37977440,37977441,47894806,47894810,47894809,256924292,47894826,47894812,37977464,29414459,22084227,22084226,29414457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14868700, s2 = 13392330, dlinesl.size( ) = 2 s1 = 14868700, s2 = 13392330, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14868700, Dl.E( ) = 134, 3.81e-05 seconds used appending s1 = 11035030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7970426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9791509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1187014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7954128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7954128, s2 = 7063772, int(edited[s2]) = 0 s1 = 7954128, s2 = 7063772, d1 = 69, d2 = 22 Dl.O(d1) = 58134142,46766316,36888103,254932060,254449816,6919880,4347233,4347236,4347161,2603550,2603546,4347166,6919761,8611338,10493969,10493970,12140396,12190345,10993399,8749086,5696326,5696325,8749062,6855151,6855152,10399188,10494234,15102476,10494202,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,268203071,41744010,35048574,26967644,26967645,21171843,15213125,15213128,12679380,8611353,8611356,5696264,3544259,3544255,5696250,8748968,12864699,255595111,31793637,39342307,30743308,23322551,23322550,20082207,14398692,255327905,26967214,35048059,44422678,47498014 Dl.O(d2) = 262070819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7954128, s2 = 7063772, dlinesl.size( ) = 8 s1 = 14165793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165793, s2 = 14096933, int(edited[s2]) = 0 s1 = 14165793, s2 = 14096933, d1 = 14, d2 = 11 Dl.O(d1) = 3803426,6078536,9279646,9279645,255271053,25606908,33371711,42360707,258420359,91788149,105982649,120182825,134015661,147232052,159587237,170912040,170912041,181027299,189901896,197554418,204070895,209507931,204070890,204070891,200842515,193754336,185488171,176015680,165322148,153529547,140851899,127494378,113620842,99605784,85655759,72068306,72068305,85655757,270835128,59333830,47942021,47942022,59333831,72068300,85655755,99605780,113620839,99605779,259982163,272205879,273714424,200842504,206814264,264495569,211767916,215807412,219148588,221969489,224392044,226495803,228328264,265752218,232559528,231270431,229833200,228215303,228215302,226373072,224257871,221818749,218975276,215606053,211529362,273575252,263620022,262333116,272897778,261282156,175483547,175483548,185023404,193353923,200502951,197626494,189984807,181122301,171018578,159704806,147358067,134147791,134147790,134147794,120318957,106120799,106120794,91928369,78006666,64813008,64813007,64813012,52891810,52891809,64813010,78006663,78006668,64813015,52891812,52891811,64813014,269091165,33489316,33489317,33489314,25714268,25714264,19086106,13626635,13626636,9330892,6112072,3824315,2291237,2291236,2280580,2280581,254449163,9288230,9288231,13565939,19007918,268497039,42376804,52775698,64280407,52423695,42078949,33129069,25392275,18805524,13396786,9158728,5994169,5994168,9158726,11189992,7424676,7424678,11189996,11191057,11191056,11191455,7425679,4692417,2827369,1640428,1640429,2827371,4692422,7425688,255082187,11189865,11190215,7424827,4691868,4691869,7424829,11190218,11189826,7424544,7424543,4692208,2827229,1640340,1640339,2827228,4692205,7425378,11191053,11190352,7424927,7424928,7424604,4691716,4691717,7424607,11189909,16109731,11190196,11190197,16110081,22247572,29596091,22247124,16109709,11189883,7424585,7424586,11189885,16109714,22247131,29596093,23403044,17130178,12038612,12038613,17130179,23403048,30831199,29598112,255897423,16111348,16111349,16110357,16110356,16110042,11190166,255082217,22247516,29596490,38163040,44417307,35042841,26962557,26962558,35042842,26962580,26962578,35042869,35042861,35042862,44417329,52423699,64280412,77432752,81075064,81075065,95133642,109388280,123580235,137311563,150352445,162485528,173522999,263432323,199262733,191891821,183323536,173522996,173522995,183323535,263798519,205499543,205499544,205499545,205881692,199715905,192426299,183959611,183959612,192426301,273840037,264286034,205881695,210981219,210981223,215148706,215148705,216135757,212153855,273085704,186142735,176731804,166095610,154346810,141695025,128345881,114469102,100444781,100444782,114469104,259258330,74280956,271805758,143134272,270841178,85231316,71666081,58944333,268939301,22122864,16008972,16008971,22122862,24283318,23330464,23330463,30752870,39353336,47927930,40492121,38018975,29456945,29456946,38018979,46519609,39353018,38018898,38018897,38018968,47630384,37708116,29147838,21839797,15770136,15770138,21839801,29147842,37708124,46624323,36736194,36736193,30182757,22793252,16576872,11557722,11557723,16576876,22793261,30182784,38766294,256456404,38766233,38458995,29902220,22546750,22546751,29902222,38458997,48360684,59744258,58000410,58000413,48687980,42425753,42425751,49312912,39385244,30783268,23358458,17089931,17089930,23358454,30783261,33433403,25664072,25664071,33433401,33433426,42425806,38458947,29902157,29902156,38458942,38595480,40492136,40492135,40492142,31797198,24283310,256048387,40492138,50527679,62019389,258040836,85391284,71803122,268948648,60714875,73080004,86684219,100656751,258146316,74815683,62019385,50527676,50527675,62019383,74815680,71803124,59062478,47662355,47662354,59062475,71803121,85391280,78406072,65124075,65124074,78406069,256414480,76275471,254782580,49908321,49908320 Dl.O(d2) = 70977465,258018663,57975490,70693451,84245410,77584075,77584076,77582560,73256824,60509856,49105658,49105655,60509851,52540538,52540539,49105556,39175304,30577695,30577696,39175308,49105564,60372474,48976319,48976320,39054492,30464686,23056291,23056292,30464691,39054508,48975974,60371981,60372405,48976264,39054449,39054448,48976259,52540742,42181881,257201257,64415236,73111438,86717220,100693495,259033343,77576984,91507731,105731897,91513360,77582239,77582238,91513358,91515221,77584090,77584091,91515223,105739001,119973763,133840247,147079115,141419040,141419039,141419038,141419037,142008969,128646334,128646333,133834697,147079374,159454555,147081412,133836816,260159534,101039529,101039530,260872917,119968518,133835718,147079120,133834432,133834431,147079118,139084233,128644752,114743842,100694225,86718086,86718085,100694221,105734757,91510867,91510866,259291825,259291827,112453303,260598762,91511663,91511664,260873007,147081679,258504226,114881303,100830860,100830861,114881306,100850488,256722902,73256644,86869414,100850486,114901216,119968461,119968462,260873055,147083067,142084142,130402059,116562059,102463006,88459119,258127530,62029034,74825636,62029004,62029003,74825635,88459066,102462964,116562035,119968471,114745848,100696878,100696879,114745850,100773239,86792417,73180006,73180005,86792415,95180655,81122258,81122259,86849928,73237073,60490338,60490337,73180042,73180041,86792467,100773304,114825299,259762030,258741514,60433118,73180024,86792445,100773282,260657947,142084187,128725219,128725220,142084189,150403384,137362210,123630055,114825196,114825197,128725171,128725215,128725216,119972254,105737257,105737256,114825224,108655032,94367297,94367296,108655028,122919928,136751894,142084165,128725178,114825211,100773216,86792398,73179990,73179989,86792395,100773211,114825200,128725176,142084153,133840259,126319354,126319352,133839050,128725203,114825263,105737272,91513274,77582135,64413573,64413575,77582140,91513288,86721470,86721467,100696814,109436710,95180646,95180645,109436727,112453092,112453090,126319330,126319349,112453113,98462716,98462715,112453111,257407974,258642672,152420209,139694464,126319634,259490888,98463268,100696743,112453282,112453281,256488902,62048908,62048907,74847153,88482956,84540434,70977107,58261274,58261276,255986706,73452146,60703862,60703863,73112015,60372438,258813583,259291807,70977184,58261322,46894133,37014619,37014575,28515053,28515052,37014572,46894068,40519855,31822846,31822844,37014545,46894018,58261172,70976979,84540287,98462508,98463317,98463318,112453562,105737499,105737497,112453508,98463245,84541013,70977606,58261655,46894383,46894381,58261653,70977604,84541011,98462927,84540647,70977281,70977283,269302876,61663778,61663777,74447910,88060006,84540576,84540577,98462843,98463281,98463282,112453531,126319644,261069662,262143160,175097051,184682009,261069720,259888670,258643122,139277720,126319620,112453504,98463242,98463241,112453502,259888524,91511977,91511976,105734667,105734666,119969710,133836775,126319271,112453018,258018364,74701106,257408228,67656223,57974878,57974882,67656192,81122854,84108569,84108568,84108530,70571848,57870129,46513942,46513941,57870124,70571841,77582242,77582876,91514042,105737994,119968585,255012366,77578626,77578627,91509381,105731607,98135054,84244756,84244754,84240686,84240687,98135064,87043239,73425410,73425409,81180362,81180361,95235843,109488965,98139678,98139677,112098722,109437451,105737388,91513425,91513423,105737377,91513405,77582276,64413679,64413680,77582279,84245957,84245959,91513372,84243120,70690939,70690937,81180680,81122719,67656100,55316506,55316507,57974990,57974991,57647675,46302853,46302851,57647663,70338184,83863377,83863327,70338138,57647639,57647640,70338143,70692815,70692757,57974868,46597880,36709981,36709982,46597883,57974875,70692769,84244709,98135130,84240777,70688553,70688554,77578434,77578433,91508344,97722034,97722033,97722047,97722048,98138393,98135027,84240644,70688394,70688391,84240641,84540361,70977056,58261238,58261237,70977055,83863146,70337947,57647496,46302741,46302740,46592965,57969234,70687059,84239503,83863430,70338234,57647690,46302858,254220876,254326904,46302744,46302743,254156504,27991362,20827010,14928584,14928583,20827008,27991357,29508028,22167544,22167543,29508026,38071731,47983795,59373719,72106221,81180426,67715294,67715295,81180428,72106321,72106320,84243772,81180412,81180411,95235868,85692105,72106164,59373666,59373665,64413669,52539565,42181023,42181024,52539571,55375794,44529562,35153357,35153356,44529559,47983813,59373740,47983834,38071751,29508038,29508037,38071747,47983826,57976137,46598995,46598991,57976126,70694190,84246110,95236087,81180737,81180700,67715614,67715617,72106180,59373674,47983758,38071712,29508007,29508008,38071714,47983760,55375628,44529455,35153295,27067559,20172988,14473668,14473667,20172984,27067549,35153283,44529440,55375609,67715403,81180504,81180511,67715414,55375621,55375622,61687567,268200484,44529443,55375615,57973839,46596988,36709250,255802328,57973842,55375850,44529597,44529596,55375847,59598086,59598085,67715833,55376002,55375874,55375875,67715697,61277115,49797614,49797616,55375814,58878740,47498716,37594525,29046778,22351032,22351031,20172972,20172970,27067525,35153243,44529360,38072152,38072153,47984286,59374139,70337968,67715394,55375603,44529431,44529432,44529704,55375983,67715811,67715497,67715498,55375750,256290072,49276610,58048293,255375368,57976753,70694842,84246777,98140505,87043750,73426032,60678059,60678057,73426029,73426826,73426027,60678053,49276936,49276933,39350261,257024687,60678052,73426025,87043745,259269672,73426170,73426169,84246752,73426056,60678090,258212771,270357517,73425633,87043434,87043814,73426141,73426127,60678165,49277034,39350338,30750138,30750139,39350342,39350712,39350709,39350429,30750203,23328302,23328300,30750198,39350425,49276579,39350673,30750435,23328472,17062204,11970572,11970573,17062207,268426449,268973163,49276411,39349793,30749756,30749754,39349789,39350718,39350414,30750183,23328950,17062493,17062492,17062111,17062109,23328325,30750232,39350463,30750450,23328487,17062212,17062213,23328490,23328224,23328223,23329084,17062588,17061938,17061939,255978209,17061949,17061950,17062112,23327978,17061905,11970401,8014406,8014407,11970403,11970782,17062076,12411502,8388464,254854543,8014614,8014615,11970750,17062315,23328655,30750663,30750181,30749692,23327957,23327951,17061887,11970389,8014398,5102898,3097606,1809863,1809864,3097609,5102905,8014412,11970409,17061915,23327994,23329004,17062531,11970781,11970779,17062528,23327759,17062534,17062535,23328350,17062122,11970528,8014479,8014480,11970530,17062125,268426439,11970519,11970518,11970589,255530901,30749704,23329088,23329090,30751155,30750888,30749583,23327869,17061842,11970359,11970356,17061839,17061821,11970351,11970347,17061808,23327823,30749519,39349512,39349666,30749635,23327900,23327899,30749631,39349661,49276259,49278036,49276313,49276178,39349590,39349592,30750214,30750215,30750211,23328313,23328312,30750209,39350302,30750114,23421523,17144654,17144656,23421530,30852124,39456189,49384163,49277956,49277957,60679008,72189897,60784902,60784901,60784867,49384256,49384255,60784866,73426307,60678379,49277309,49277311,60678377,51025348,40887954,40887953,51025347,60224086,48827671,40887951,40887952,46513792,57870010,57870039,46513835,40789077,40789076,50905802,57989193,57989192,61452829,61452828,57989065,46612828,36725336,36725337,36646395,28170872,20990109,20990110,27036147,20143239,20143240,27036150,35123353,44501225,46513875,36646339,36646338,36699148,36699147,36725348,36725347,36699105,36699106,36646374,28170824,20990087,15076766,15076767,20990090,21015415,15093793,15093794,20990077,28170815,36646358,257405425,70571770,70571771,70571766,70571768,57870103,46513920,36646369,28170821,20990083,20990081,28170819,30647929,23226181,23226180,30647925,39243617,46612882,39958190,31283402,31283401,39958186,35123283,27036107,20143219,14448946,14448947,20143223,27036115,35123296,44501137,35123306,35123307,35165425,31215806,23731361,23731362,31215811,39893115,35165392,27077722,27077721,21034738,21034734,28231842,36725497,36725463,36725464,36646428,35123317,27036127,20143229,14448952,9940395,9940396,255747605,35123349,39269045,39269044,47946898,47946897,58082437,57870223,57870222,61393696,60329790,57870108,55390283,44543030,35165406,27077730,27077729,35165402,44543022,37992453,37992452,47908632,44543053,44543052,49957120,46901803,37024091,37024093,46901807,57870089,59303618,47908861,37992679,37992680,39008026,30418713,23013630,16773850,16773852,23013628,30418705,39008017,48931708,59303578,55347518,48931680,39007986,30418687,30418686,35123291,37992449,29430436,29430435,37992591,47908769,59303544,47908828,47908827,59303531,59303532,256925476,47908977,59303467,70571813,61434773,59303700,269804893,258727406,67687257,59303579,47908821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165793, s2 = 14096933, dlinesl.size( ) = 2 s1 = 14165793, s2 = 14096933, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14165793, Dl.E( ) = 16, 2e-05 seconds used appending s1 = 11119500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8052038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8052038, s2 = 11316322, int(edited[s2]) = 0 s1 = 8052038, s2 = 11316322, d1 = 39, d2 = 37 Dl.O(d1) = 255076991,7388128,4667465,2811870,1631219,927597,927595,1631215,2811861,4667448,7388089,7862449,11776088,16839519,23094877,23094605,16839268,11775906,7862332,4990342,3014417,3014418,4990351,7862351,11775927,11776314,11776312,16839877,12569851,8524077,5522686,5522687,8524082,12569859,16839361,11775972,11775973,16839366,16041511,11138578,7388075,254350561,2811852,4667439,7388077,11138581,255452575,23094972,16839674,16839675,23095072,30510011,30510013,23095663,16840111,16840070,16840069,23095609,30511008,23095622,23095494,23095495,16840097,16840096,23095635,30510250,39107208,39215827,30618864,29502935,29502936,29502993,29502994,33381929,39108021,30510988,23095578,23095579,30510993,39107896,30510890,23095508,23095511,23095050,23095051,22163391,22163389,29502854,23095456,19002282,13561517,13561518,17683169,17683168,16840036,16840037,23094869,16839512,16839510,23094864,29496737,31252699,39107162,31537414,31537413,39108037,39108038,39107318,30510380,23095083,23095082,30510272,30510174,25616088,23094593,16839245,16839244,23094590,30509880,31537400,24034617,24034608,24034607,31537381,39107829,39107828,39107187,39107188,40223694,31537306,31537305,33381921,25616100,25616099,33381920,42370991,52770115,60441089,49037016,39107172,39107171,39107997,39107998,47972057,38059781,38059782,255960774,49036941,39107088,30510377,30510378,39107314,42370995,42370994,257667503,40223815,40223814,50243970,40223809,31537394,24034614,24034613,31537389,30510171,23094893,23094892,30510190,39107143,39107888,39107887,40223728,40223729,33953427,26116551,19423283,19423284,26116555,33953432,31537416,30514000,23098317,23098316,30513998,39111146,49040876,60444690,61722709,50243961,44478273,35101206,35101205,44478270,55324427,52161544,41840425,32913313,25200531,18637674,18637675,25200534,31537364,40223775,50243941,60441695,59368146,59368145,49801061,39782005,39782004,49801060,61279350,61722674,50243905,40223700,40223701,49801067,39782014,39782015,49801068,49801031,49154243,49154242,60553523,57661477,49037087,39107263,39107262,49037085,49037075,39107255,39107252,47442410,37534500,28989692,21705762,21705763,28989694,37534504,47442417,268744520,58828536,47442430,47442428,256124364,44360720,52535134,64408022,268692082,52535130,52535129,60783697,52535012,42177504,42177505,256639904,52535133,55211583,256238624,26903075,20020348,20020349,26903077,26903079,26903080,30340657,22939328,22939329,30340659,38926986,39106629,49036456,49382516,257174074,257174094,35370911,257174092,42186119,42186120,44360696,55211585,64407967,60783736,49383129,39455237,256105104,23420901,30851164,30851162,25477683,18875979,13451202,13451204,18875983,25477673,25110669,25110667,23421136,17144360,12048934,8100490,8100489,5189786,3166462,1853689,1853687,3166454,5189774,8100482,12048925,17144084,17144085,23420716,30851033,23420674,17144065,12048757,8100404,8100403,12048752,17144056,23420512,23420511,17144371,17144370,17144277,12048891,12048890,17144292,23421054,23420980,23420979,23420770,23420729,17144094,12048770,12048771,15995637,22106892,29440231,255562040,23420572,17144014,12048726,8100394,8100395,12048731,17144026,23420602,23421004,23420997,23420876,17144180,17144179,12048839,12048840,17144220,23420944,30851392,39454613,30850909,23420579,23420392,23420391,30850691,23420685,17144069,17144068,23420682,30851041,30851624,30851623,39455491,39455075,30851144,30850706,30850705,39454623,49382602,47509818,47509819,49382940,49382942,46610256,36722619,28228892,28228893,36722623,39455378,39455193,39455192,49383090,256488974,30850686,23420386,23420384,30850679,25458580,25458579,33206036,30851363,23420927,23420928,23420954,23420953,30851056,39454599,39454601,49382623,49382599,39454584,39454586,30851045,30851046,39454971,49382735,60783476,60441355,49037380,39107569,39107570,49037382,60441358,49382609,39454589,39454588,49382606,60783394,64398434,73188426,73188429,70703873,57986540,46610262,46610260,39454743,39454742,49382630,39454604,39454605,49382633,47509834,47509835,49382585,52524667,52524665,60783385,60783386,73530845,60783817,49383205,257612787,72939001,72939000,60441367,49037389,39107574,39107573,257586595,60200108,67556153,55212400,55212399,65507366,53484395,43006913,33950693,26114261 Dl.O(d2) = 261131559,273544292,140288496,126940905,271314977,258709271,256896167,257475877,272322994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8052038, s2 = 11316322, dlinesl.size( ) = 8 s1 = 6609869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345790, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345790, s2 = 8516985, int(edited[s2]) = 0 s1 = 10345790, s2 = 8516985, d1 = 18, d2 = 25 Dl.O(d1) = 59142701,58311758,46945275,37066169,37066168,44770411,257646702,13285303,9068513,9068512,8596131,5585462,5584597,3464819,2054703,1178839,1178840,2054674,2054705,2054707,3464827,5584609,8594762,5585885,3465521,2055057,2055056,3465517,5585876,7273072,4586707,2759454,1599649,1599648,2759451,255874027 Dl.O(d2) = 22722414,16517309,11511071,11511073,13968468,13968469,19514180,20968404,25588369,25276605,18704094,18704093,25276604,25325718,18746717,13346556,9119799,5967347,3731558,2234014,2234015,3731560,5967351,9119804,13346562,18746726,20341517,14599300,14599301,20341519,27277274,35403476,257651518,9690947,9690949,11282250,255469447,29748112,257103413,24278141,24278140,256555079,32970291,256345826,23445820,17916956,17916958,12694098,12694097,17916962,15205601,10488361,6915488,4343644,4343643,6915483,10488355,15205596,17146622,12050689,8101824,8101825,12050693,17146634,17335319,23652300,30461960,30870771,29406063,22075396,15969826,11084933,11084935,15969830,22075402,20196975,14491705,14491706,20196979,23452278,17175336,17175335,17923080,17923082,23422357,17145301,16475824,11479479,7635063,7635065,11479482,16475827,14491780,12015093,12015092,17100780,17170538,17170552,12073023,8118464,7357690,5849006,5849007,8960789,13147305,18505034,23423820,17146613,12050683,12050682,17146606,13147325,13147323,18505065,25039094,23444643,23444644,23422363,23422362,24291090,29406043,22673474,20197005,20197006,20196989,20196988,16636668,16636669,17143814,17143813,23420280,29419414,28379477,21162044,15205667,10488434,10488433,11290668,8904940,8606801,8606802,8606819,8606820,12673650,17892223,23422415,17145353,12049619,8100940,5190056,5190055,8100935,12049604,17145326,21148218,17143808,17143810,23420270,30850535,25039089,25039088,22864556,22864555,30260504,24291106,17909343,12687934,8618692,8618691,12687929,17909333,24291088,28378572,21161130,21161132,28378582,33069996,25340387,21160748,15204415,15204416,15982506,15982507,22088986,17892252,12673670,8606828,8606829,12673675,17892260,22075764,23422373,21163852,21163853,28381305,28381318,28364026,28364028,23422382,17145320,17145318,23422376,28379166,21165985,21165984,28383836,22075443,15969878,11084959,11084960,15969882,22075448,17177578,17177579,15194888,10480721,10480722,15194894,16476032,21163373,15206891,10489455,10489453,15206887,18760250,18760249,22075705,15970106,15970104,22075697,20809354,14913891,14913893,11085168,7351006,4643292,4643291,7351003,11085162,15207330,10489881,10489883,15207338,21148153,15194839,15194837,21148144,15207396,15207398,15207379,10489917,10489918,15207387,15206538,10489116,7350891,4643240,2796893,2796894,4643243,7350897,11084985,15969937,22075512,29406173,37970068,29406206,22075564,15969995,11085027,7350919,7350918,11085021,15969984,17145483,17145485,22107608,22107609,23442778,17168578,15968613,11084032,11084033,15968621,18683780,13290867,9073507,9073508,255248121,13290886,10488116,6915280,6915281,10488119,15052837,10378800,6839010,4291065,2565505,2565506,4291068,6839015,6256201,3916435,3916434,6256199,268035987,15205141,10487920,6915124,6915123,10487919,15205139,21161519,21163839,15207308,15207307,15204813,10487664,6914963,4343244,4343243,2600636,1500422,850383,850382,1500416,2600669,4343520,6915314,4343898,2600938,2600937,4343893,6915771,6916411,6916409,10488471,10488472,10489443,10487967,6915344,4343545,4343544,6915168,6914556,4342924,4342925,6914563,4344750,2601564,254329423,6915736,4343848,4343849,6915200,6915201,4642484,2796260,2796261,4642492,4343436,2600619,1500386,850373,850376,1500395,2600628,2601482,4344620,6915442,4343623,4343622,6915438,4346099,4345602,4345603,6915386,6914849,4344441,2601985,2600435,1500283,1500282,2600430,4343131,6914825,4343135,2600439,2600438,2601149,4344038,2601518,1500957,1500955,2601513,2602463,1501654,1501656,2602452,2600549,1500344,1500345,2600554,4343322,6915069,7349981,6918149,6915051,4343308,4343309,4345631,4345633,6917705,6916658,4344625,4344627,6916660,4345010,4343611,2600722,2600723,1854257,1854258,2602333,4343167,2600457,2600456,4343164,2601457,2601332,2601331,4344200,2601170,1500731,850569,480401,480399,519819,291423,291425,519828,331724,182681,182680,270564,270565,480727,480747,270578,149992,149993,270582,480548,480546,850835,1501192,2601849,254492789,6917305,10490363,7364138,4651683,2802011,2802010,4651678,6917178,6917177,4653363,4653362,7365942,11084722,7350678,7350679,11084726,7350683,5190671,3167466,3167465,4651716,4651717,6918738,7364032,4651547,2801908,1853570,1853569,3166287,5189598,4651555,4651556,2802327,1625605,924339,521090,292103,292100,521082,924329,1625590,1854653,1625336,924177,924176,1625331,2801919,2802320,2802318,2802400,2801997,1625385,1625387,2601927,2601928,2802830,2802300,2802299,4652019,4652063,3167541,3167540,4346545,5191121,6917173,5191062,5191060,8101772,5190682,4651552,2801893,1625314,924168,924169,1625318,2801902,4346062,2802053,1625417,924233,521021,521020,521099,292108,161589,161590,292115,521109,595066,595067,924182,521000,521001,924193,924410,1625706,2802484,2803277,2803162,1626169,924688,924686,1626164,1625939,924553,924554,1625918,2802796,4652659,5190715,3167134,1854120,1058215,1058214,1854114,3167127,5190705,7364534,7364830,4652320,4651538,4651537,7364027,7365540,4652939,4652938,2803215,1626183,924693,924692,1625619,924346,924347,1625622,2802346,4652050,7364066,4651603,2801949,16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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345790, s2 = 8516985, dlinesl.size( ) = 20 s1 = 8067164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8067164, s2 = 14040440, int(edited[s2]) = 0 s1 = 8067164, s2 = 14040440, d1 = 47, d2 = 11 Dl.O(d1) = 30189021,30189023,37816001,29250750,21930025,21930026,29250752,37816006,47738405,40241710,31555715,24051361,254864410,8479977,8479978,12517197,17697536,22467273,29833878,38405634,31555339,24051002,17697222,17697221,24051000,24050991,17697215,12516917,8479715,8479716,12516919,17697217,24050993,22467221,16299264,16299265,17697504,267913064,24051564,31555667,31555666,40241396,31555809,31555412,31555413,40241489,38405616,31555653,24051366,24051367,22467226,22467225,29833846,24051009,17697225,254658736,5481233,3372917,3372916,5481228,8479712,12516909,12516956,8479749,8479750,7536475,7536476,11340925,16299261,22467214,22467197,16299249,16299250,12517324,12516973,8480052,8480051,12517319,11340952,254106582,2873828,1667945,1667946,2873831,4767400,7536510,11340969,16299303,22467262,22467263,17697580,17697582,17697192,268001902,5481449,5481448,8480009,12517246,17697595,24051444,24050968,17697200,16299268,12517007,8479810,8479809,12517003,13900413,17697634,24051494,29833856,29833869,22467249,22467250,24051488,24051457,17697612,12517257,12517258,17697614,24051464,22467248,16299287,11340946,7536497,4767393,4767392,254136682,16299279,22467240,29833865,31555847,24051476,17697622,12517264,8480019,5481454,3373054,1984890,1984891,3373057,5481459,254188176,12517265,17697626,17697735,17697304,17697305,24051081,24051562,17697690,254450662,8480053,12517306,8480044,5481466,5481465,8480042,5481481,5481480,8480066,12517338,17697723,24051599,31555977,254864426,38405629,255191032,40241834,31555827,24051451,24051452,31555828,24051584,17697712,12517332,12517333,17697713,24051588,24051530,24051531,31555900,24051547,24051549,26256011,31555888,24051520,17697655,17697654,24051518,24051533,19070889,19070890,255580658,25696243,25696312,33469240,255680936,24051610,17697731,12517344,12517327,12517328,17697643,17697642,24051504,31555866,40241863,50261231,59703089,59703088,72439172,64785383,52866299,42462447,33469160,31555983,31555984,31555945,24051570,24051571,31555924,31555923,40241901,50261259,51884231,41590215,41590214,42174008,33214588,33214589,40241922,40241921,40241897,31555894,31555895,40241900,33214595,25467216,18867046,18867043,25467212,33214587,42174007,49161273,60561080,73304914,86915503,86915518,84096680,70560356,57858719,57858720,70560359,64405190,64405191,77573202,91504217,91790218,77867565,64677513,52762543,42363036,33374195,33374194,42363035,47613696,59017938,256868342,47728234,47613688,37688536,29126458,29126457,255612292,256047521,17894704,12675450,254617025,3470478,2058048,267803361,5593847,8608068,12675459,17894716,24274765,31788074,30256401,22861128,16634555,11603523,8674487,8674488,7029442,7029444,10646368,15403079,11729562,11729563,16776512,16776495,16776493,23016742,18009886,18009885,21419296,15428664,10666004,7044192,4433168,2661493,2661492,4433162,7044181,10665979,15428622,15176638,15176639,12428325,12428327,17607103,23953223,26406860,28624261,21386596,18980231,18980234,21386702,21386703,28624368,21386740,15403105,15403106,21386747,28624434,37137250,46912313,46912314,38839864,37137155,28624333,21386664,21386665,21386681,21386680,28624346,37137129,28624321,28624320,37110578,33481182,25707674,25707673,30255996,28665095,21419165,15428573,10665951,7044165,7044167,10665956,15428582,21419180,21419228,28665177,28677035,28677034,37199792,46649149,40124103,31444735,23953057,23953056,31444731,28677030,28677031,37199787,33556964,28624414,28624415,28624425,28624426,37137241,47025493,52475989,47081429,37186180,37186182,47081432,37734992,29174367,21864277,21864280,29174373,30893019,23460054,23460057,30893028,39500279,48759061,48759062,48758319,38838458,30254676,30254675,256988173,60152467,71181451,71181450,60152486,48758307,48758308,47017908,37130438,37130437,30254664,30254663,38838430,48758281,60152460,72888588,72888587,64797551,52878301,48759158,38839646,30256133,22860844,22860846,30256134,38839649,48759161,60153088,57866835,57866834,60153084,48759116,38839594,38839517,30255976,22860709,22860711,30255065,30254992,30254991,38838710,48758475,48758470,38838704,38838703,48758468,60152588,48759629,38840173,30256638,25707303,25707304,33480839,38838563,268415925,22859649,30254805,38838569,48758373,49311153,268527196,30781507,34281136,36643228,36643229,42247655,38839617,30256092,22860799,22860800,22860857,20987946,15075099,10397890,6854203,4301497,268794874,15075095,20973094,20973092,19672047,19672049,22861102,16634540,11603513,11603512,16634532,22861086,20113999,14424756,14424757,20114003,22860043,16634276,16633905,16633907,11603175,7724216,4889195,4889194,7724172,4889172,3122792,3122793,5135752,8045526,11993781,14101346,9698943,6379007,6379006,9698941,255307952,3122787,3122786,5135744,8045511,9791871,6437292,6437291,9791869,14244188,19880385,26701319,34695914,30254296,30254294,38838095,48757965,38839831,38839832,48759297,43378557,34279800,256188806,48758660,48758661,52326739,254463874,30693443,254311782,17020006,23278453,17081560,17081561,23348834,19880382,19880383,26701315,255308016,41105553,51285550,255718732,65968497,53902260,43378559,34279801,26404899,19670579,19670580,26404900,34279804,40096481,256489804,23926621,255308070,41986146,34281015,26406279,19671882,19671871,14101822,14101821,19671869,26406267,25314727,18737353,18737355,19671275,19671276,23740953,23740952,26406427,19672030,19672031,255718600,37138540,41986329,33042497,25314574,25314575,33042498,41986128,33042407,33042406,25314670,18737304,13338848,9113663,5962949,5962948,9113661,13338838,18737277,17416705,17416706,23741118,31224398,31224268,23741016,17416636,12275550,8290104,8290105,8290120,8290121,12275583,17416686,17585116,12412352,12412351,17585110,23926598,21387792,15403927,10646978,7029846,7029847,10646985,15403947,21387822,28625563,28625561,37138478,41986347,33042506,33042507,33042492,33042491,39206361,39206360,39206350,39206348,39900961,33042569,25314634,25314632,33042565,255556456,52679349,64579680,64579739,73277704,60533392,49324600,39396451,39396452,49324595,49324594,52326909,41986379,255556466,18737268,18737267,25314610,33042541,41986373,52326900,58398493,47026614,47026613,49133271,49133270,60533399,73277707,74180793,61400630,61400631,74180794,87785479,77762616,64579736,64579735,77762613,91690017,85464294,71879521,59141233,59141234,71879522,85464296,85464297,269202784,68015201,62986199,51307898,51307897,62986196,60533353,49133212,39206310,39206311,49133217,256511818,80349220,66922966,54666381,43923821,34650580,34650581,43923823,54666385,62049359,50556831,50556830,62049357,64114870,52265975,52265974,52265978,64114873,66914389,66914392,80340814,87785605,84391441,70834415,58119908,255316372,36872199,46751377,58119907,58119871,58119870,51054824,40912801,32134953,32134954,40912803,51054825,58376840,47006567,47006566,47695454,47695455,49790995,39771166,31224595,31224594,24553889,18116807,12846443,12846442,18116805,24553888,32135162,40912967,37193607,28671559,21424339,21424340,28671562,28837559,21578923,21578924,28850893,28837569,28837570,36872146,36872145,37120334,28610058,21424562,21424561,28671869,28850867,28850868,22951018,16714219,16714218,22951015,30352758,33521343,33521344,36872186,36872187,46751364,37907764,37907765,32134945,24553738,18116718,18116717,24553732,25406673,33147038,28837563,21565970,21565971,28837566,22951009,16714209,15555515,15555514,21578919,23256004,23256005,22007458,15906486,15906484,22007455,21578929,21578931,28837582,21565978,21565976,28837577,32135021,33147035,36965340,28466343,28466342,28466345,28850871,28850872,32135295,32135298,40913080,37130482,28618723,21382178,21382177,15399584,15399586,21382209,28618771,29338912,29242136,29242135,32134926,32134927,37193595,37193594,40913084,37907728,37377849,37377850,38938699,30352745,24553937,18116846,12846466,12846465,18116842,24553930,32135219,32135341,32135340,40913112,256993632,47678451,37756212,29194906,255505616,32135125,256578109,51054848,40912837,32135005,24698400,24553807,18116764,12846415,12846414,18116762,24553801,32135041,24698529,24698531,32134982,32134972,32134973,40912661,51054721,51054776,40912743,40912742,40912936,32312125,32312124,32134958,24553828,18116772,12846421,12846420,18116767,18116752,18116753,24553792,32135032,39290773,39290882,32134866,32134867,39290698,39290699,32311895,32311894,40912843,258085316,62685604,51055044,51054852,51054853,62685490,52344845,42005861,40912690,32134828,32134829,40912694,51054751,51054844,51307882,62986189,258326017,51054831,51054832,51054899,49217473,39290792,30693420,23278432,17019988,11935816,11935815,17019985,23278429,23278489,24553682,24553673,24553674,32134847,24553779,24553778,32135013,40912749,51054782,62685438,52932657,52932656,60618126,49217367,49217366,60618124,60618082,49217324,39290669,39290670,49217326,51307877,51054769,41124964,41124960,32311868,32311867,39290709,30693362,23278397,17019972,17019973,23278400,24553621,18116651,18116650,24553617,32134771,40912636,39290659,30693330,23278378,17019962,11935806,11935807,17019967,23278383,30693340,39290681,39290892,32134720,32134721,39290767,30693406,23278419,23278418,30693401,38865762,38865761,48787658,48857848,48857847,50508981,40473691,40473690,50508976,43368667,34269474,34269475,43368672,53892564,62000395,62986181,51307871,51307870,49217353,39290695,30693349,23278388,23278389,30693353,32134735,40912596,40912875,33312734,33312733,30693322,23278372,23278371,23278367,255973965,23278365,30693311,39290647,48200189,48200188,59586727,269135490,50508958,256700872,73362897,73363022,73362896,73362893,60618055,60618056,60618227,49217519,49217520,49217539,59586704,48857857,38938546,38938547,48857860,48857945,48857896,38938570,30352631,30352629,38938564,48857889,60250600,257576721,38938601,38938603,39709441,39709442,257196712,32134512,32134511,40912300,51054302,48857826,38938527,30352598,30352596,38938508,30352587,22950915,16714091,11672283,7781229,7781230,11672286,16714100,22950935,30352670,38938573,42125980,33169850,33169852,42125985,49727997,61206683,73278452,65968851,53902696,53902697,62685099,60250553,48857835,40912294,32134765,32134766,40912632,40912443,40912358,32134543,24553471,18116554,12846292,12846291,18116558,24553479,24553491,32134561,269028409,40912620,40912621,51054687,51054670,40912606,32134744,32134615,24553521,24553520,32134610,38938536,48857846,60250557,60250493,48857752,38938468,30352557,30352559,38938472,48857759,50902849,48857782,40457988,40457987,50493941,50902883,40786277,40786278,50902889,50902902,40912629,32134762,24553611,24553610,32134759,40912626,51054694,51054257,40912346,40786271,40786266,40786206,32029441,32029440,32029447,32029448,40786214,50902809,46481201,46481200,57837190,48857865,48857864,40912450,32134628,24553526,24553527,32134635,40912461,51054495,256990110,75422189,75422188,65818124,53759701,51054460,40912426,40912425,51054456,61985982,50902896,40786286,32029489,24467239,24467240,32029493,40786295,50902909,51749422,51749421,62685244,51054504,40912470,32134639,32134640,32029483,24467235,24467233,32029475,40786260,42375902,42375903,52774884,64689064,256675004,75630012,64198484,61522124,50042468,50042469,61522129,58593402,47202272,47202271,58593397,71326673,64198524,64198523,70552485,70552484,71447302,62685143,51054378,40912361,40912360,51054374,62685138,64028970 Dl.O(d2) = 269989285,63717910,51911114,51911113,63717908,76818666,271014877,104854160,119037741,119037738,104854153,90686528,76818661,63717905,63717907,76818663,259623615,104854162,258174702,269828834,63717915,63717914,76818671,90686533,76818674,76818675,90686542,90686546,104854166,119037739,258972618,258812652,81099458,81099457,76818689,63717933,269971245,91429452,257565926,59403155,59403154,72133587,84930040,71353023,63717922,63717923,63717932,258369659,64351201,64351200,63717926,63717924,258996649,76818693,257786679,52481187,63717931,51911123,51911122,51911129,41610831,32707083,255638439,13137756,13137755,18492197,25022812,32707079,41610824,51911119,42126450,33170265,33170266,41610829,51911127,63717935,258798062,72133586,59403153,59403152,52481194,52481193,258401651,76818691,90686554,257146652,52481189,52481190,63717927,76818686,256594296,105669690,105669699,91446282,77516516,77516515,91446270,77516511,64351206,64351205,77516509,268469976,119905466,119905471,257733218,105669696,258346568,119905463,119905462,105669697,104854170,91446275,91446276,105669691,119905467,257733216,130281057,269943346,88355262,258972620,88355264,88355260,74727078,61933448,50442802,269412283,62010832,61933449,50442800,50442801,40483099,40483100,256620501,25118226,18567333,18567332,25118224,268735739,25118221,25118220,32822293,25118215,18567324,18567325,25118216,31788066,25118223,18567331,13194385,8994801,8994802,12675458,8608067,254421229,2058048,267756809,201444,201445,367858,663178,1180811,267803363,2847581,267891501,11264637,16204493,22356089,29711147,38277432,29712149,29711124,22356070,16204482,16204481,22356065,23448253,22577995,22577994,28523034,28523033,37020884,38278728,29712218,22356871,16205045,16205046,22356873,29711140,38277424,38070643,38070642,47982715,38070510,29506879,22166664,22166663,29506874,28522409,22166817,22166818,22356869,22356868,29712214,30878963,29548630,22205073,22205074,22166779,16044033,16043932,11140153,11140152,16043929,22166605,29506798,37020797,29712956,29712955,23119808,22166738,16043999,16043998,254728934,22205523,29335877,29335876,29548025,29548251,22204684,16074794,16074795,22204690,16075407,16075405,15903933,11162426,11162424,16074710,22004611,22004612,15903906,15903907,11162901,7404363,7404362,11025512,11025513,10517942,6936290,4358642,2611488,1507681,854875,854874,1507678,2611483,4358632,6936270,10517902,15246227,15246413,15246412,21214261,28438750,21214314,21214315,16075427,16075425,11850341,11850342,16931844,23201336,28438769,21214092,15246296,15246294,21214087,22204804,16074901,11162526,11162525,16074900,22204801,28439328,21213972,21213973,22004610,15903896,15903895,15245922,10517735,6936183,4358584,2611462,2611463,4358590,6936190,10517748,15245950,21213597,28438906,29634642,36938408,36938406,46816401,36938100,28438620,28438619,28439279,36762547,46648131,36938689,36938688,36939103,28439618,28439617,28438809,28438808,36722503,28228782,22204813,16074910,16074911,22204820,28438849,21213551,21213550,22204882,22204884,28438864,28439375,28438993,21213652,15245972,10517756,10517755,15245965,21213466,15245865,15245864,21213461,28438702,26255298,26255300,34120266,28438953,21213620,15245956,15245955,21213614,28438940,36938509,46816759,46892434,37013244,37013243,36938880,36938878,46817007,48021289,54714347,54714346,46816810,36938561,28438977,28438976,36938557,38392952,37013269,37013268,36762662,28266816,23227093,19879729,19879728,26700538,34695133,36762579,38741625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8067164, s2 = 14040440, dlinesl.size( ) = 2 s1 = 8067164, s2 = 14040440, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8067164, Dl.E( ) = 48, 4.29e-05 seconds used appending s1 = 9693728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9125036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 145640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7902323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1220846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8392204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7872292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7872764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7852024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13341939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8129751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8117886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8255693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8255693, s2 = 14162803, int(edited[s2]) = 0 s1 = 8255693, s2 = 14162803, d1 = 27, d2 = 15 Dl.O(d1) = 9952280,14465507,20163309,255130628,35140784,27055194,27055193,35138438,40478168,31783631,31783630,33698004,29240257,29240258,255050822,49022276,41341660,254979882,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,9611662,9611661,13991351,19539971,26258991,34124564,37218328,44831569,55739179,44831393,35406026,35406025,44831391,55739176,55739151,44831368,44831367,50465285,40427525,40427526,50465288,61961190,61961181,61961180,50465711,50465710,61961605,61961539,61961542,74761479,88395228,88395139,88395140,88395178,88395190,74761436,74761437,270273290,81341614,257488048,61961424,61961425,74761387,85435845,88395122,102395594,88395217,88395218,88395131,270918851,61961160,50465272,50465273,61961164,74761205,74761396,74761397,73388639,73388637,74761548,258721628,270830752,101892917,87918815,87918814,101892915,270830750,130325226,116489786,102395538,95660234,95660235,99377148,95390655,81341605,81341606,85433344,85433343,73402147,60787334,49386482,49386483,60787336,258220667,49386641,49386640,53360407,49254765,49254764,49254855,49386546,60655665,49255004,49255005,59109009,49255079,39328312,32972746,32972745,41912578,257768863,58309723,46943241,37064180,28562648,28562647,37064177,46943234,47066891,53360298,53360299,65364195,59579419,48192986,48192987,49061611,49061612,53360337,53360338,50442158,50442157,61932894,65364241,73402154,60655768,60655769,70742934,58443254,47066907,42894483,40408250,40408249,37640578,37640577,47546834,57808099,46452194,36586329,36586328,46452192,40408073,31715909,31715910,255919610,58929330,58929329,255434470,39215631,48129687,38219653,38219654,256364296,25364075,25364074,33097651,42045804,52389860,64245701,77396434,77513170,77513169,70731972,58016857,46643415,36757967,36757966,46643414,58016855,70731969,84283944,98179785,259650376,84283929,81545614,258396034,87624010,87624011,101591144,115631571,125979104,112142192,260493801,98794971,98794973,112787261,101591150,87624016,74019892,61239199,61239200,74019894,87624021,98794975,84866731,84866730,87624004,101591135,115631565,259731464,84283932,70731960,70731961,84283935,84283956,70731986,70731984,84283952,98179793,112142193,115944283,271393971,87924149,258262275,258262277,87924126,87624018,87624017,85378025,259341723,260272735,260944904,115944275,101898094,87924161,87924160,98794969,98794970,101898089,115944270,111727748,97805601,83946325,70419456,258626171,97805598,101898087,101898086,115944268,115944272,272175864,101898098,260123645,115944284,101898111,87924173,74321177,61544949,50066883,40047589,31367244,23872536,256018481,40047591,50066885,61544924,61544923,74321140,84465468,98374580,101898088,87924157,87924130,87924131,83946322,70419455,258626169,97805593,111727740,106039502,258659788,259905804,259286532,259677489,260888159,115944259,115944258,129844177,272175866,101898100,87924166,74321170,74321169,270877236,50066865,61544926,74321143,87924135,258035094,64728419,52813189,52813190,64728422,77918578,91841842,105666418,91442975,258659794,87924148,74321156,74321157,84434409,98343949,112326869,258659790,115944263,129844180,115944261,101898071,87924139,74321147,61544928,61544927,74321145,74321151,87924142,101898075,101898068,101898069,112326867,256846924,70877022,70877023,257425454,126187259,139562279,126187262,112326871,256846930,70877032,58162934,255022954,36917746,46795514,58162932,70877030,84434411,98343951,101935156,101898078,87924146,74321153,257653379,257653381,61544931,52477430,256846926,33166004,42122364,42122372,52477440,52477436,52477437,257425456,91442979,91442985,84465443,70909164,58196500,46830537,258035097,77918570,64728416,52813186,257807399,77513122,64347566,52477422,52477421,64347564,77513120,64347636,259028475,64347572,64347573,64347570,52477433,42122367,33166008,25423409,18830404,18830405,25423412,33166012,42122373,52477444,42122375,42122376,52477449,64347583,64347598,269078999,33166017,33166016,33166020,42122387,257786331,77513156,258080172,52477492,42122408,33166033,25423426,18830415,13416205,255259833,25423430,33166036,42122393,33166023,25423420,18830410,13416202,9173045,254920321,18830408,25423418,33166022,42122390,52477459,64347605,77513152,77513179,64347633,52477490,42122404,257786333,61544916,74321133,87924122,77513154,64347606,257745312,257745314,52477469,52477468,64347614,77513149,64347603,52477458,42122385,42122384,52477455,64347601,77513147,64347611,52477466,52477465,52813176,42411847,42411846,52813192,64728425,77918582,77513177,64347631,52477487,52477486,58160291,46792715,36914984,36914983,46792713,58160287,64347615,258080174,77513158,64347608,52477464,52477463,48532315,38617268,38617269,33420789,33420790,42122400,257157696,42411830,33420834,33420835,42411833,42411783,268497569,19033576,268301073,33420788,33420842,25652332,21195151,15231446,15231447,21195153,28417229,36914987,46792718,58160294,256889406,98341575,105666425,106039473,91982971,78056433,64859426,64728337,270004959,87209131,101210061,91841829,77918558,64728397,64728398,52813181,42411836,256347694,25652325,25652339,25652340,255677961,13586145,9302708,9302709,13586148,19033583,25652306,33420803,42411789,42411790,33420855,33420854,42411849,52813195,52813154,42411821,33420822,33420821,33420844,33420845,42411841,257216036,77918483,257216038,64728354,77918506,64728404,64728405,77918560,64728399,52813170,42411828,33420830,25652323,19033590,255677963,25652307,268497571,42411797,33420801,33420800,42411787,257216027,52813139,42411803,42411802,257807397,77918508,91841767,259677487,91841832,91841769,77918510,64728356,52813140,52813141,64728358,77918516,91841779,106039451,91841793,77918527,64728391,64728350,64728349,77918504,91841764,106039433,106039431,91841760,77918500,64728348,64728347,77918496,77918553,77918554,91841823,106039493,106039417,91841745,77918489,77918490,259677485,91841741,91841799,98763902,84836643,71262507,71262508,84836645,77918512,77918513,91841774,258423541,64728381,77918525,64728363,52813145,42411808,42411807,52813143,64728361,77918522,91841788,271552377,106039422,106039423,108626194,112754069,98763907,98763908,106039468,271552375,106039414,120244263,112754049,98763886,98763885,84836651,84836650,98763905,112754067,258002014,101109359,269295582,120244262,120244275,134079973,126403140,126403141,126610039,260292909,91841784,77918520,77918519,260292907,134079979,260531565,98763913,259311095,71262514,58530788,47142591,37237455,37237456,47142596,58530795,269315755,37237453,37237452,47142585,58530780,71262498,84836634,98763895,111769988,260476403,138913068,141020871,271840566,125533988,111727714,111727716,116528214,113804921,257609494,72246603,59512136,59512135,257609492,36515075,36515074,46374109,57724320,70419300,83946160,259311099,84836664,84836641,71262503,58530782,58530783,58530791,58530792,71262517,84836660,98763924,112754081,102431304,88429800,74797789,70454877,70454876,83982685,259311097,102431308,88429803,88429802,97844504,83982656,74797797,74797796,88429809,102431313,116528217,111727672,97844513,97844512,111770000,125579192,112754057,98763897,271306767,126610030,112754064,98763903,84836646,83946161,83946162,259252317,259541907,98763899,84836638,84836637,97805549,111727719,112754079,260234988,260162892,260162894,125579196,260472756,116528212,259255874,74797792,62001368,50509921,40474599,40474600,50509923,62001370,74797801,88429814,88429817,259541911,114064228,100037466,258002020,72476148,269295584,111769990,104912608,97805481,83946185,70419316,57724332,57724333,258626153,83946180,83946179,259871151,97805524,111727613,111727612,125533902,125533977,125533978,111770008,97844522,83982674,70454865,57759829,57759830,70454867,83946261,70419397,70419399,83946265,83982666,70454861,258629423,83946165,70419304,70419305,83946167,70419311,57724325,46374113,36515079,28050755,28050756,36515082,46374120,57724336,57724357,46374131,36515090,28050760,28050759,36515084,46374124,57724346,70419337,70419414,258294352,46409031,36547430,28079186,28079185,36547425,46409027,57759836,70454873,83982683,83946257,70419401,57724391,46374149,46374148,57724387,70419394,83946254,83946222,70419350,70396605,70396604,57724363,57724366,66008775,66008776,70419290,57724312,46374104,36515071,28050752,28050751,255788219,20882217,28050778,36515115,36515094,28050762,20882207,14979929,14979930,20882212,28050770,36515103,46374157,57724400,70419416,270790233,83946297,70419435,57724413,46374166,36515108,36515107,46374163,269762563,70419391,270273250,57724360,57724359,257391244,70419458,57724432,46374178,36515122,28050784,20882219,14979935,254707967,6783010,10312188,14979933,20882214,28050775,36515113,46374150,36515099,28050765,28050764,36515096,46374143,57724327,70419313,83946178,70419438,70419440,83946302,97805580,111727733,125533997,258900074,97693035,83835220,256538458,57619747,70310191,83835217,97693032,104076693,89946461,76139993,63133850,51435901,51435902,59047124,47645613,37723630,37723631,257481999,71788707,85378020,99322602,105042976,90864305,76986171,63875120,63875121,63875114,52056190,52056189,46374173,36515120,36515121,46374174,57724427,70419452,83946315,259871165,125533999,261307544,104076686,104076687,260815441,272186918,113325604,99322599,99322598,90864297,76986167,63875117,63875118,76986169,90864301,79376828,79376827,93513427,258991378,63754537,51942416,41638416,32731043,256100450,24965150,32634924,41520867,42611706,53059374,65042154,76671345,63584711,63584712,76671347,79376855,79376857,93513441,106659936,107950672,93513326,79376684,66008461,53938013,53938014,53059369,53059368,65042144,53059371,53059373,65042152,53492733,43014586,33957894,33957893,43014584,255309572,255309574,34309949,43411280,53938142,255309578,42611716,42611717,255720482,53938111,43411124,34309825,26431887,19693897,19693896,26431885,34309822,43411122,53938107,53938114,43411128,43411129,52553092,53938205,53938305,64427228,64427229,55697542,44790240,44790241,55697545,254679288,33569255,25779164,25779163,33569252,34309858,43411175,53938154,53938148,43411170,34309856,26431903,19693911,14120648,14120650,19693913,14120717,14120716,268165066,34309985,254960240,53938315,254312200,31516666,254212284,254115730,20311828,19693928,254212280,6391100,4010873,4010872,6391096,9714846,14120652,19693915,255720466,43411172,255720486,254960250,34309869,34309873,254464606,31516668,31516667,40203421,43411289,53938158,53938156,43411185,34309871,34309870,43411183,50225639,40203424,40203425,43411020,34309723,34309724,256190762,66008454,76943022,76943023,257271076,79376799,66008609,66008608,79376798,76943017,63835828,256710814,41710130,52020743,268041030,43411149,53938128 Dl.O(d2) = 7716271,11591678,13841207,19352715,19648841,26383428,255226566,25883811,20857544,14956279,14058754,9668350,6358684,6358685,9668352,12996654,8848219,5766682,3925361,3925360,6198873,8629673,8629671,8651557,5627253,3496516,2077636,2077637,3496521,5627258,5622505,5622503,6163614,9407467,13732247,14058858,14058859,19515328,13969337,9592282,9554561,9554560,9643446,9668474,10655260,9498705,9498704,13846653,19358707,18308939,12996667,8848225,6298411,3945841,3945840,6298405,9592022,9592023,13968988,19514790,19287971,13789003,13789005,13920427,9554557,6269374,3925365,3900584,3900582,6230141,9498693,8644807,5622522,3493172,2075258,1192347,670597,670596,1192344,2075253,3493165,5622512,8644800,12722330,17953208,13970911,9593587,6298396,3945835,3945834,6298393,9593584,13970906,19358712,19358701,19358702,24344228,24344229,19517213,13970923,13970921,19517206,13970917,9593590,9593589,13970915,19517204,26233435,22543218,22543219,29898643,26150630,19452208,13920414,13920413,19452205,26150627,24344174,17953195,17953196,24344175,17953268,12722397,8644843,8644840,12722393,12722385,12722386,12795191,12722375,12722346,12722347,17953225,24344199,22543213,16367764,16367766,19517176,16368056,16368055,11390968,11390967,13920408,17953192,22543596,22543597,24344118,24344119,24562232,24562231,32144935,26233428,19517195,19517197,22543193,29898624,24344182,24344181,26233415,29898571,22543132,16367718,11390731,7567946,7567947,11390737,16367727,22543162,29898601,29899060,22543529,16368000,16368001,22543532,22543556,22543207,16367760,16367761,16368023,22543534,29898788,22543540,22543541,16368005,11390921,11390922,16368010,22543551,16368116,11390992,11390993,16368120,22543651,29898771,29898770,22543734,22543720,16368191,11391043,11391044,16368196,22543727,255917186,29899204,29899203,29899209,38456018,256414179,29898563,22543251,22543250,29898694,29898825,29898829,29898774,255816016,16367802,11390781,7567987,4785656,2884117,2884118,4785663,7567999,11390801,16367829,16368143,13970934,13970933,255476999,16368103,11390982,7568109,7568110,11390987,16368112,22543327,16367862,11390823,11390824,11390864,255097687,15783573,15783571,21854991,29163668,29899078,22543565,22543566,29899081,37723605,29163677,21854997,21854995,254914712,11390950,11390951,16368043,22543581,22543243,16367781,11390772,7567979,7567980,11390776,16367787,11391035,7568132,7568131,11391029,16368166,22543484,22543409,22543407,24208216,24208214,24208215,31715922,40408089,269885903,50442179,50442178,50442180,258138442,74405502,269401274,270388195,50144899,40123804,40123803,32826797,25122627,25122628,25123176,18571377,13197081,8996417,5873520,5873519,5873425,5873424,8996251,13196783,18570912,18570864,18570863,25122488,32826607,32826744,41747360,41752656,32831525,32831526,41748383,32827800,25123518,25123517,32826800,25122631,25122630,32826798,32827218,25122974,18571239,18571155,18571154,18573791,18573792,13198822,8997545,5874218,5874219,8997549,13196882,8996303,5873457,5873458,8996305,13196889,18571074,25122748,32826952,35968308,41747556,32826938,32826937,26588610,256197273,26588613,26588614,34575780,32830786,256165831,26001200,26001922,33819125,34690077,33817540,26000436,26000437,33817542,42859027,53321680,65320705,65320996,53322060,256444382,26001060,26001059,33818174,41736077,32815382,26000730,26000731,33817851,33817655,26000554,26000559,26000765,31803743,32815088,25111970,18562313,13190617,8992143,8992145,13190622,18562321,17907603,17907601,17907599,17907598,24289141,31803701,26043850,26043851,31076786,23593390,17281225,17281224,23593386,26000744,33817865,40498900,32816986,25113437,25113436,25887605,32816322,25112912,25112910,32816309,28185531,21423242,15431802,15431803,21423246,26002111,26002109,25113476,18563305,13191254,13191253,18563302,25113468,256620123,44415993,35041532,35041531,44415989,55263634,269799294,68110686,81071932,71638282,258710231,99125588,95632564,81599487,258550502,47536840,37631187,37631188,257476771,55263583,44415952,35041505,35041504,44415950,256766109,256766111,55263642,44415995,35041533,256741753,55263638,55714212,55263590,44415959,44415960,55263592,55263577,44415943,35041499,35041501,44415945,55263578,67605397,81073716,259179312,67605403,257515994,35041507,35041506,256935814,35041496,257307169,61400259,49920119,49920118,61400257,50578969,40542833,40542834,50578971,55263574,44415941,44415940,44807545,44807544,55263579,44807595,44807594,55714222,55714180,268837275,27257620,20323747,20323749,27257622,35382894,35382962,44807645,55714184,44807563,44807560,44807597,44807599,257933265,55714169,62071116,62071115,62071113,50578973,256559549,24325086,24325087,31844742,40542835,35382879,27257608,256239399,27257673,27257624,20323752,14585226,10035803,6595254,6595255,10035805,14585229,14585232,20323759,27257631,35382899,44807568,55714191,68110652,74869237,62071119,50578980,268693107,24325097,17937296,12709783,12709782,17937293,24325095,31844755,40542839,35382884,27257611,20323743,20323745,20323783,14585251,10035814,6595259,4131777,2471536,2471535,4131776,6595257,10035809,14585242,20323773,27257625,27257626,35382889,44807553,50578977,40542843,31844747,256239397,27257606,35382877,44807543,55714166,55714219,55714220,258554141,74034025,61254007,49775285,49775284,55714217,44807608,44807607,257332859,55714233,68110684,55714210,44807586,35382915,27257639,27257640,35382918,44807588,55714214,68110664,55714200,55714199,258554139,81599544,81599558,74034013,74034014,74034015,81599471,68110638,68110637,81599469,95632545,109836312,95632598,81599546,68110713,55714248,44807626,44807627,55714250,68110715,81599533,68110701,68110702,55714237,257933271,81599535,95632585,258861902,68110681,68110682,61253991,258239441,81599509,81599508,81599551,95632605,109836354,109836357,95632608,81599560,68110727,61253989,49775276,49775275,61253985,68110661,55714197,44807577,35382910,27257638,27257637,35382907,35382951,27257663,20323777,20323778,27257666,30140242,22754415,16543176,16543177,22754417,30140246,31079124,31079125,39756656,49775283,61254003,55714251,55714252,49775279,49775278,61253994,68110679,81599517,81599562,68110729,55714268,55714267,50616922,50616921,55714265,44807635,44807634,55714260,68110724,81599526,257933269,55714226,257458636,58685182,47294377,44807622,35382946,256766117,55714241,258554145,86818835,73206132,60459204,49055496,39125456,39125453,39125452,49055494,60459202,258819427,81599548,81599549,87637515,98290980,258808977,60264120,60264119,72999570,74620364,258283024,40318898,31630651,31630652,40318900,50344705,58082323,258651107,70799106,84357732,81599504,68110658,68110659,81599507,73206134,60459207,49055500,39125458,30527177,23109291,16850935,16850937,23109295,30527180,39125465,49055510,39756647,39756649,49775273,39756693,31079148,23595923,23595924,31079151,31079141,31079140,39756675,49775300,60264026,60264027,61254024,74034041,72999444,269361757,38951621,30365352,22963393,22963392,30365349,38951617,48871267,48871412,269361769,72999576,74034003,61253976,49775266,39756644,31079116,23595901,17283629,12162645,12162644,12162647,17283634,255997101,39756671,257577781,38951775,38951776,31079143,23595918,17283639,17283638,23595916,30365450,30365449,38951753,48871407,48871540,48871541,60264228,72999645,74034037,72999446,60263980,48871277,38951625,30365355,22963396,16726810,11684123,11684124,16726812,16726844,22963464,30365457,268963427,60264126,61226691,49747407,39728231,39728229,31079113,23595897,23595896,31079109,23595910,22963454,16726838,16726839,22963459,22963481,16726858,11684150,7791373,4940030,2980997,2980999,4940033,7791379,11684158,16726870,22963504,16726902,16726901,22963549,30365470,30365472,38951771,48871425,48871503,48871433,38951782,38951783,48871436,46705160,36822449,30365369,30365370,38951644,48871301,60263998,257577776,30365397,30365398,38951681,48871330,60264041,48871441,48871419,38951764,30365467,30365468,22963563,16726911,11684186,7791397,4940044,2981002,2981003,4940047,7791377,267984033,16726868,22963496,30365499,30365577,30365476,22963474,22963473,24126490,24126491,22963519,255125389,7791384,7791385,11684165,16726880,22963524,30365531,30365514,22963511,22963512,30365517,38951809,48871476,60264175,72999608,60264215,256997317,30365575,22963547,16726897,11684180,7791393,4940040,4940039,254805379,11684154,16726862,22963488,30365489,30365595,22963568,16726915,11684189,11684190,16726916,255953105,256997323,60264233,72999650,258808979,60264151,48871448,38951790,38951791,48871450,60264153,60264230,60264197,48871510,38951833,30365533,22963526,22963527,30365539,38951838,38951828,38951829,38951713,30365419,22963436,22963437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255693, s2 = 14162803, dlinesl.size( ) = 2 s1 = 8255693, s2 = 14162803, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8255693, Dl.E( ) = 28, 3e-05 seconds used appending s1 = 161710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347868, s2 = 7843023, int(edited[s2]) = 0 s1 = 10347868, s2 = 7843023, d1 = 21, d2 = 19 Dl.O(d1) = 257766785,32951573,32951574,41886776,52217988,257167544,63950036,63950035,77064393,79300096,65937002,53869780,256706677 Dl.O(d2) = 267883697,880751,254120409,278784,278785,497173,881081,1549790,2671752,1547600,1547599,267825318,2671751,2858137,4742525,7502628,10486298,6913915,6913916,10486267,6913896,4342472,4342471,6913897,10486269,15203110,21159095,28376368,22715262,16510939,16510940,22715264,30097057,256294644,58120626,67550591,55206910,44356359,34978671,268335735,14336160,9848450,6468450,6468452,9848455,14336172,20017054,26899195,34978696,44356384,44356433,44356434,55206984,67550661,81020219 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058404, s2 = 11156698, int(edited[s2]) = 0 s1 = 11058404, s2 = 11156698, d1 = 15, d2 = 16 Dl.O(d1) = 184614366,192997157,200188280,206260202,206260203,264426335,205570910,210723453,214932806,210723455,205570911,199341190,191978030,183418302,173626408,162598996,261561393,123705515,259794581,81203754,67739185,55400183,44553606,35176107,27088060,20190031,20190030,27088062,35176109,44553592,256227029,268551071,255572417,17613073,17613075,12432102,8402224,255182033,13099297,13099295,18440811,23956674,17609521,17609523,23956454,17609364,17609365,23956458,17609504,12429892,8400951,5421156,3332606,3332607,5421133,8400920,8401035,8401034,12430026,17609725,18440761,13099255,8927287,5826580,3635485,3635486,5826585,8927296,13099268,18440775,23957072,17609834,12430102,8401079,5421236,5421237,8401081,8927370,12432752,8402604,8402602,7356478,4646997,2799161,2799162,4647003,7356484,11092470,15978850,17609538,12429904,12429903,17609531,12430015,12430014,17609551,12429914,8400958 Dl.O(d2) = 8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,628384,349088,349086,628376,1119842,254271953,5421931,8402226,12432104,268257718,256530693,50161100,61644838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058404, s2 = 11156698, dlinesl.size( ) = 2 s1 = 11058404, s2 = 11156698, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11058404, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 14859289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9510512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9789351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028862, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14862915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14869689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14869689, s2 = 327564, int(edited[s2]) = 0 s1 = 14869689, s2 = 327564, d1 = 61, d2 = 87 Dl.O(d1) = 51534813,41314003,32468703 Dl.O(d2) = 8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,3237382,1899263,1084106,1084105,1899253,3237360,5284796,267994561,8214069,12182884,17305824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14869689, s2 = 327564, dlinesl.size( ) = 2 s1 = 14869689, s2 = 327564, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14869689, Dl.E( ) = 88, 4.82e-05 seconds used appending s1 = 9742497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14677799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14677799, s2 = 15294788, int(edited[s2]) = 0 s1 = 14677799, s2 = 15294788, d1 = 13, d2 = 24 Dl.O(d1) = 272205021 Dl.O(d2) = 268235593,30271481,38855924,48776022,60170539,72907533,259426451,114487066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14677799, s2 = 15294788, dlinesl.size( ) = 2 s1 = 14677799, s2 = 15294788, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14677799, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 10142128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097069, s2 = 2618205, int(edited[s2]) = 0 s1 = 14097069, s2 = 2618205, d1 = 4, d2 = 23 Dl.O(d1) = 257686190 Dl.O(d2) = 40468317,254421214,17883819,254421212,39359326,31787848,255594572,24274569,24274568,31787851,40482851,50518510,62010566,74807395,88439954,102441761,116538630,130376969,272277468,128440106,261223213,154441210,261223215,259430487,72965080,60227046,60227044,72965077,74172005,61391511,61391510,258871775,101749734,114555968,128440100,261223211,261223209,154441210,154441213,261281295,260111195,101749734,114555968,128440100,261223211,261223209,154441210,154441213,261281295,260111195,101749734,100525179,260047195,128440102,141793813,260647331,259430487,72965080,72965079,86563696,271357315,128440105,271824167,271357315,114555969,261223207,154441209,166177033,176797041,176797042,263190605,263581191,176797041,176797042,262282205,154441213,261281295,260111195,101749734,114555968,128440100,261769899,154441208,261223205,128440100,261223211,261223209,154441210,261223215,259430487,72965080,60227046,60227044,72965077,74172005,61391511,49911270,49911271,61391513,62858792,51208775,51208774,61391517,62150227,50643172,40594649,40594650,50643174,62150231,258927345,87776700,74172071,74172072,74172036,74172035,87776653,101749751,115795613,102618270,102618269,102320553,102320552,115655312,101614401,87647527,87647526,101614400,107608177,107608176,93207884,259728903,115655314,115655315,121978157,107608179,93207883,79092880,65737290,65737292,79092883,76915804,63808829,51993361,41682111,41682110,257759759,76915802,90790891,104967280,104967279,119160605,129541545,115655311,101614398,101614397,87647525,74044226,61264235,49785130,49785129,61264233,63808820,61903643,59935397,59935398,61264259,49785151,49785150,61264258,74044250,87647540,87644003,74044224,61264230,49785127,39765537,39765536,41682104,41682100,41682099,49785082,49785081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097069, s2 = 2618205, dlinesl.size( ) = 2 s1 = 14097069, s2 = 2618205, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14097069, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8021498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8021498, s2 = 14857682, int(edited[s2]) = 0 s1 = 8021498, s2 = 14857682, d1 = 33, d2 = 18 Dl.O(d1) = 257782394,47664983,52270750,41931829,32991158,25267270,18695479,13302375,9083945,6533346,6533345,9940315,6533368,6533373,9940376,14448924,11919207,254440788,3076847,3076845,3076853,3076856,2714069,1572392,1572393,1790167,1783272,1016979,573226,573228,1016985,1020853,1020852,1790158,1572683,894179,894180,1572687,2714438,3090564,2710322,1570143,892757,254161313,1573208,1572430,1572433,1806615,2715025,2715024,3056430,2944921,1707851,1707849,1573164,1573163,2715043,2713799,1572206,1572207,2713800,3077448,3071238,1790940,1790941,3071240,3092048,3092047,5094308,7937156,5047427,3057579,1782163,1782164,254377031,3080270,5078433,5061792,254180304,7528169,4761396,4761398,7528176,7082415,7082414,10720107,7954077,7954078,7994690,5089165,5089166,7994691,11944159,17029250,23237870,16975760,16974443,11887127,7947313,7947312,7794444,7794443,11687982,11948501,11939991,7991140,7991142,11328742,10774653,7941633,7941634,5054890,5054892,7948495,11871022,11925038,11925039,16994828,21709782,16968646,11880644,7942413,7942414,11880646,11211371,7982181,5080210,5080209,7982178,7997532,5091120,5048158,3058237,3058236,5048153,7938023,10933817,7948933,7948932,7946806,7946805,11886468,11930014,17014882,254382712,7981443,7981444,11884934,11884931,16972463,11896041,11896039,11896051,8829443,5753390,5753391,254382430,18276198,17011369,11925545,11925547,12154997,8185367,5254734,5046376,3056794,1781625,1781624,3056787,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950350,3315443,3313561,3313559,5388652,8348929,12356988,12360927,255566287,26391273,26391271,24011318,268444293,28364452,28364453,22048311,15945230,15945231,11072858,7342133,4637514,2793393,1620322,921478,921477,1620319,2793386,4637496,7342094,11072791,15955087,22059334,29390022,33299360,25537373,18925571,13492049,13492048,11063152,11063151,15942680,22045645,29376337,254608872,71988519,85575418,84377637,70818889,257090514,269306013,257477789,29099134,37648074,47553249,269296538,48752306,258176955,259104838,43276193,34179760,26308322,256703083,53801077,61493570,58087543,46715883,36833338,28336743,21124622,15176180,10466668,6899290,6899287,7397767,11153253,16062650,15794333,10942854,10942853,8099956,8099958,7996671,5090558,5090559,7996676,11946733,17032281,23292030,23419403,17143136,17143137,23419407,17852008,17852007,24223482,31731703,30221502,22829407,16608289,11583497,7710078,7710077,11583495,16608284,22829399,30221492,31806049,31821890,24305336,17921505,17921503,24305349,21124554,17143109,17143110,23419373,30849584,30221542,22829501,16608349,16608348,255205024,15794349,10942860,7240931,7240930,10942856,15794340,17032270,23292015,24306809,17922602,17922601,24306807,31823607,36832855,28336389,28336391,254491756,255017250,29179131,29179130,23140358,23140357,23419362,17143089,12048120,12048122,17143094,22412694,17504403,17504404,23845860,28336634,28336632,31823611,39453435,30849575,30708359,30708358,39306120,40505106,40505104,50540472,62032134,74828726,67747121,55407047,44559376,35181001,27092293,27092294,35181004,40520612,31823615,31823614,31823700,29179129,24298697,21868380,15794345,15794344,21868377,29179152,30221627,38805137,48725846,40505101,40505102,37741784,29777089,29777087,22412703,16248496,11296517,7500069,4740933,4740934,7500071,11296521,8627258,8627257,12697039,17920449,17143104,12048128,12048129,12698702,17922633,24306835,23142479,23142480,30559553,36833305,30557554,23140154,23140153,20193499,14489004,9969163,9969164,14489009,20193512,23140430,23140429,17915907,12693210,12693212,16880185,11810025,8625795,8625793,8099934,8099933,5604784,5604783,8620780,12690263,17912166,24294375,29777112,29777113,24303841,17920190,17920189,17920085,16879871,12700266,12697045,8626046,5608733,5608731,8626040,12697033,17920457,24304026,31820362,24306916,17922727,12698785,12698786,12696839,12696838,12698800,17920121,12696723,9969168,6551924,6551925,9969173,14489018,254423054,17912139,12690234,8620757,7888686,7888685,11810051,16880220,23140399,24294368,23140349,16880171,16880172,23140352,17920185,12696774,8625843,5608603,5608604,8625844,12696701,8625803,8625804,12696704,17920092,24303771,31820204,31820217,255536730,31825805,24308641,17924170,12699907,12696842,8625879,8625882,11298716,16251736,22417019,24304014,17920441,17920443,24304018,28371668,28371670,267850182,17912136,23140388,16880215,16880214,23140386,24294385,255205379,12690273,17912181,24294381,31809538,40505112,31820288,24303898,24303760,17920080,12696697,8625800,8625799,12696695,17920075,24303751,31820200,31820283,30258982,30258981,31820182,24303712,24303713,24294344,24294345,268005936,37418821,255886250,28877260,255597464,31820284,31802337,31802338,40497412,268264838,28877182,21601917,21601916,17920256,12696834,8625873,5608622,3483050,2067706,2067707,3483054,5608628,8625888,12696849,11810114,11810113,16251794,16251795,21154631,15199205,10483199,6911551,4340708,4340707,6911547,10483194,15199193,12696815,10773406,7118402,7118401,10773402,15574462,15973220,11087822,11087821,15973214,17920113,17920243,17912437,12690517,12690518,10773341,7118361,4481915,2692940,2692939,4481908,7118343,10773315,15574350,21601898,21602008,21601993,15574435,10773384,7118393,7118368,4481918,2692943,2692944,4481923,7118377,7118364,7118363,10773344,15574387,21601944,256339601,36868292,28371643,21154602,15199161,15199160,21154599,28371638,36868287,37973087,268221142,22078960,29409518,37048173,28548514,21324155,15352415,268206001,28548468,28548443,28548444,21324162,21324163,28548526,21601991,21601990,28877228,21601956,21601822,21601823,15574428,10773380,10773381,10773672,7118570,7118569,10773353,7118366,7118365,10773352,15574398,21601942,28877209 Dl.O(d2) = 254539780,254539778,32536485,41387006,51613088,63337277,63337271,51613081,51613082,63337274,257545534,29830334,22462968,16294805,11337261,11337105,10639202,10639201,10639213,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232588,3729060,5963416,6593304,4130682,4130681,6593302,10032346,14579710,20316013,27248210,35372683,27252005,27252006,30807660,257523413 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14068938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2654945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9130050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9130050, s2 = 14163849, int(edited[s2]) = 0 s1 = 9130050, s2 = 14163849, d1 = 6, d2 = 19 Dl.O(d1) = 74724350,88309374,258282520,74724340,74724341,74724349,70896691,58183121,58183122,269884421,40363848,40363847,50398973,61889316,74358256,61581580,50101700,40081066,31400194,269409036,258286379,258282526,61889312,61889311,74682375,88309376,74724345,61930780,50440355,50440354,61930778,74724343,88352402,102348513,102243320,102243318,102243317,88352428,88352427,99058310,271313931,258905090,87960422,74724346,256542866,40406412,40406413,50440359,257090436,74724347,74724348,74724358,268687522,40406418,40406420,50440366,61930789,74724362,71563721,58836513,58836512,58836511,50440382,40406437,40406436,50440380,50440394,40406443,31714342,24206681,17836870,17836869,24206679,31714338,40406434,40363860,40363859,50398989,47450287,47450286,50398992,61889339,74682404,68078095,55679366,55679365,68078093,257664144,88309424,86915412,73304818,60560999,60561000,61889345 Dl.O(d2) = 260775715,131040957,260247444,103127148,260775715,144278279,261948552,131040958,144278281,156702913,148966538,148966539,148966537,135727095,121786630,121786631,135727096,144278278,131040955,117243106,117243105,131040953,144278276,144278277,131258274,117449782,117449783,103314171,103314172,89218822,75466057,62542874,269917329,89218820,103314170,261353983,156702911,146270653,146270654,146270657,133040675,119210155,105018172,90839175,90839174,97375595,111361985,119294059,128375382,114501504,100478236,86520267,72922314,60183216,48786766,38864901,256127336,22881932,30279491,38864899,258179795,270862721,271823007,130086103,116178563,102121100,258900213,74521270,88133379,102121102,116178567,117243112,117243111,131040961,144278282,143414172,143414171,154367605,141720357,128375380,114501503,100478233,86520266,269991654,60183215,72922313,86520262,100478229,259563746,141720346,140013105,130086105,130086104,261307058,140013099,126658069,126658068,126658076,126658077,113864146,99846508,85891831,85891830,99846505,113864141,127737408,129081633,119294047,119294048,119294051,133123921,126164010,112303132,112303134,126164011,260178672,139540025,139540026,137277912,123545425,109353038,260166948,137277914,142530405,139540024,259563738,259563740,129820606,129820605,123545443,123545442,126164007,139539998,152271887,152271896,152271897,152271912,152271913,164157367,152271903,139540023,126164025,126164024,139540020,152271900,148959116,135720209,135720208,148959114,139540029,139540030,150320050,260764264,123545437,137277933,137277925,123545433,123545432,128078039,114191500,109353061,95098268,95098267,109353058,123545445,126164035,126164034,139540040,126164039,112303152,260502969,139540042,143243366,260314988,101965577,87991089,87991088,101965575,112303154,259101652,112303159,112303160,126164043,126164046,137277929,123545435,109353049,95098263,81039805,81039804,95098262,109353044,123545431,137277921,123545459,109353075,95098279,95098281,85030137,85030138,78873252,65537931,65537932,78873253,92984926,92984912,269135448,53513706,43035449,257251283,55262323,44414957,257307073,67603925,81071967,89802299,89802298,257695096,105154100,113801837,102617718,88611318,74969270,62157711,50648551,40598638,31889787,31889785,40598635,256853736,74969252,74969261,74969260,88611309,84557873,70994187,58279404,58279403,63964931,70994193,70994194,77081580,63964924,63964923,52142082,41824864,41824865,52142085,63964959,73531203,87149687,77081606,77081605,90967408,105154098,116713736,102617724,88611326,88611327,88611332,102617736,99788064,85835344,85835343,74969248,74969249,88611298,258304522,73531206,257432162,39455522,39455523,49383358,60783916,73531210,256562616,63964939,52142072,52142071,63964927,256562612,84632143,84632144,98555668,98480532,84557879,77081577,63964921,52142061,52142060,63964919,63964944,52142076,52142075,63964941,59546793,48159767,38250618,29685557,29685555,256942799,59546781,72281342,84632158,71069194,58352945,58352946,71069196,256314668,72243346,72243345,84632154,256314662,85835341,72243375,256314678,99788070,113801848,127669740,116504332,102409055,268611016,61981177,61981176,58352943,46983379,37099415,28592377,21360438,254332848,17869603,17869604,24246205,31758090,40452904,47786382,37862096,29292828,21965654,15871497,11000497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9130050, s2 = 14163849, dlinesl.size( ) = 2 s1 = 9130050, s2 = 14163849, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9130050, Dl.E( ) = 42, 2.1e-05 seconds used appending s1 = 9750611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 562946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9697613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6888836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13298049, s2 = 7851043, int(edited[s2]) = 0 s1 = 13298049, s2 = 7851043, d1 = 46, d2 = 39 Dl.O(d1) = 65869829,53801980,257857679,74380322,61603758,257075271,40103670,50123881,61603764,74380335,87982932,101955478,87982427,74379872,64617054,52716831,42329683,42329682,52716826,64617043,77799581,91727351,85789128,72195103,59457300,48066159,38153320,29587120,29587119,38153319,48066156,257168645,32734558,41643045,51948837,63763057,72216181,59479116,59479117,72216184,74379851,74379852,74380323,61603761,61603762,74380330,74380383,74379860,61603306,50123450,40103289,40103290,50123452,61603308,74379863,87982411,101955460,116000037,105934819,91727358,91727359,91727363,91727365,78537235,65247230,65247229,74380349,74380347,74380368,64150074,52297691,41956686,33014339,25289314,25289317,25289324,33014349,25962490,25962491,28370508,28370506,33415102,33415103,42405008,52805120,53257772,42804791,33772548,33772545,25962945,19297146,13796670,9460619,9460618,13796664,19297129,24282071,24282067,31795846,25647515,19029677,19029676,25647509,33415056,42404957,52805063,53257742,42804755,33772516,31795929,24282128,24282129,31795932,268691857,24282160,17901493,17901491,24282153,31795957,40490903,42170986,52528980,52805053,257200389,42170941,52528960,42170952,36563444,28093216,20918859,20918858,17929116,17929115,24314917,31833348,40530948,41724872,52039966,62060014,52477137,42122060,33165749,25423261,25423263,33165754,42122064,52477144,50526413,50526410,50526408,46427680,46427679,42170949,33211341,33211340,42122169,42122170,52477214,50526401,40490745,40490744,50526372,42802532,33770708,25961589,19296196,19296194,25961583,33770700,42802522,53255221,65244828,78535179,256393978,48087514,48087513,59477414,63910336,52091746,41778488,32857924,25150968,18594015,13213444,13213445,18594016,25150970,32857928,41778494,52091750,268736484,40103409,50123582,59477662,62060027,50567529,255337364,47565089,47565090,38175469,38175468,47484507,41778472,32857912,29031667,29031668,37212783,28688237,28688236,37212778,38175494,38175495,42122190,33165881,29608888,29608890,29608684,29608683,38175525,38175426,38175425,42122094,37659006,37659007,37659017,47565103,50985642,40850879,32079032,32079034,40850883,42122086,33165786,33165772,33165773,33772583,25962964,19297158,19297160,25962970,29608658,25963009,19297185,13796686,9460632,9460633,13796692,19297191,25963020,33772628,37578915,29031678,21740429,21740428,28688247,21437880,21437879,28688244,29608640,29608642,38175467,38175710,38175519,29608680,22258184,22258182,22258061,16119307,11197200,7429658,4694795,254236621,1641209,2828705,4694799,7429665,11197212,16119335,22258806,22258892,22258885,16119426,11197301,11197300,16119420,22258402,16119121,16119122,22258519,22258841,22258842,22259254,22239340,22239341,16119269,16119268,16119430,11197303,11197073,11197075,16119139,16119193,22258594,29608960,38174810,38174809,48087097,38175843,29609081,22258725,16119283,11197317,11197312,254352678,29609235,25006813,18479915,18479913,25006811,32686441,29609186,29609187,29609242,38175968,34986016,34986017,31594426,31594425,40278762,50299220,59477356,48087424,38175335,29608456,255459861,11196576,11196575,16118527,22257950,29608446,33771404,33771403,42803347,42802386,33770597,25961510,25961511,32688276,32688274,33771148,33771149,32686187,32686185,37276140,37276141,28743594,28743593,37276145,29608479,29608477,38175366,33182658,33182659,42142167,50299209,40278744,40051540,31594400,31594401,24091011,256034885,25006520,25006519,32686117,32688142,32208764,24617675,18167179,18167180,24617678,24617703,24617704,32208790,38175770,46660884,36775390,28279355,21074767,21074765,28279348,31168405,23680108,23680109,25006579,18479745,13128635,13128636,18479749,25006590,30622980,30622981,39220276,32686157,25006543,25006542,25961498,24617950,18167450,18167451,18071210,18071211,24498577,23875582,23875583,30622992,30622988,23201025,23201026,18167172,12883744,8762572,8762571,12883738,18167161,12883752,8762574,8762575,12883757,18167198,17925840,17925841,24310738,31828227 Dl.O(d2) = 1282838,768188,768184,1188864,667983,667985,254194881,267850239,8631066,12703909,12892012,8768463,254429077,254429079,255222109,24633313,32230320,41022130,255297250,255297252,51178190,50652285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13298049, s2 = 7851043, dlinesl.size( ) = 10 s1 = 7934947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7934947, s2 = 13176439, int(edited[s2]) = 0 s1 = 7934947, s2 = 13176439, d1 = 82, d2 = 39 Dl.O(d1) = 32028134,24466044,18046341,12792822,12792824,10520238,6937916,6937921,5259728,3215267,1883636,1074630,603722,603725,1074640,1883665,3215325,5259845,7469102,11251719,16186966,22334140,19534733,19534735,21941768,15853341,15853339,16107909,11188602,11188599,16107897,19571580,14976486,14976484,15587485,10782979,10782977,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965814,14484335,20187687,15590311,10788085,7127730,4487397,4487395,7127726,10788079,13300576,254420868,18691328,19464339,19464337,20828554,27992852,26293655,19571702,19571701,21620712,21620715,20295606,14564262,10021845,10021844,14564258,16623285,22846992,16777083,16777084,16777135,23017382,22329593,16776978,11729963,11729964,10044627,6600868,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099822,9311921,13598913,9311793,9311794,254937132,11516376,11516375,16524346,21459749,28715517,254848996,29723166,254592940,32080118,33060533,254976156,9936149,6530516,4091913,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389 Dl.O(d2) = 254275062,40383535,267801152,17813138,12611325,8559997,8559999,12611332,16895128,17829817,17783213,17783214,17740552,12552449,254191260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7934947, s2 = 13176439, dlinesl.size( ) = 14 s1 = 11124746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124746, s2 = 14161346, int(edited[s2]) = 0 s1 = 11124746, s2 = 14161346, d1 = 23, d2 = 12 Dl.O(d1) = 256332461,256873553,58596204,71329190,84902374,98828906,112820109,272185399,126677214,126677215,140030349,152725069,164563033,175327463,184880294,193222097,263887806,263136246,262697616,174880556,164063772,152186595,139462891,126092745,112237842,98259787,84352275,70793442,58076087,46704015,36821424,28326143,21116378,15170225,10462703,10462702,255324567,21116946,21116947,15174697,15174696,21122792,28334662,29353369,22022112,15920969,15920970,22022119,19107761,19107760,25741341,26941482,35022365,44397726,44786251,48521509,48521510,268937644,86256627,75597707,70793492,70793491,58877046,58877047,58877049,71597832,59403975,48016918,38106714,29543488,27239135,20308806,14574431,10028808,8730929,8730930,11404743,7578632,7578635,6487909,4065333,4065332,6487906,9875858,14369956,20055592,26941520,29927210,29927211,32118121,24540547,24540546,32118118,29353374,26941488,20055564,14369944,14369945,16386401,22566941,29927136,27239129,20308799,14574428,14574427,20308795,27239127,35362130,44786249,55693622,58877042,47496881,37592481,29927298,29927190,22566977,22566979,29044858,21751888,20055570,20055571,255099331,7578643,4793643,4793644,7578639,9875864,9875862,14369948,20055573,20055585,20055586,26941514,29927214,22566988,16386437,16386415,16386414,21946795,15857524,15857523,16386450,22566948,16386409,11404703,11404702,16386407,22566945,29927141,38487891,35362126,29927204,26941496,20055568,20055567,26941490,35022370,44397730,37592485,37592484,255809744,38487955,37592478,37592479,46715426,256298657,21124389,15176030,15176029,21124386,22567040,22567050,29927315,31797461,40492433,38487966,35022388,29927235,22566996,16386443,11404723,7578620,7578619,11404716,16386430,11404730,7578624,7578626,11404734,16386456,22567018,29927264,36832943,46715484,47352487,37445925,31825323,24308248,24308246,31825318,40522317,50558762,62051171,70804038,58087158,258651377,74816254,74816253,84362610,70804034,58087156,46715417,36832880,36832879,46715415,48391132,48391250,48391249,59774224,48391198,38488024,29927266,22567019,22567020,257539881,72508262,72508253,59774212,59774213,48391193,48391192,52393431,64248540,257416760,50558759,40522313,40522312,50558756,258298949,88485107,98271090,84362612,72508223,257539879,38488003,256959557,59774208,257416758,100072251,100072264,86106894,72508273,72508274,72508281,256298666,38488042,29927277,22567025,16386460,16386459,22567022,256959561,59774230,256329292,42049724,52393433,46715517,36832981,36832982,38574652,38574653,257416764,72617574,74849393,84362626,70804070,70804069,84362624,91316722,91316723,87182519,86106879,86106878,100072248,100179807,86216050,86216051,100179809,114212063,127987668,114102937,100072271,269305548,59774246,59774241,48391216,48391209,38488032,29927272,29927271,38488030,48391203,46715493,36832951,28336453,28336455,33101055,25366650,25366651,33101056,259023025,86216058,86216059,100072233,86216027,86216026,72617622,59879255,256966669,30004139,256423809,48487766,59879258,72617626,86216097,100179842,100179821,99323289,85378612,71789264,59047735,47646357,47646356,59047734,71789262,85378607,86216040,72617554,72617555,86216017,85695688,85695687,72109677,59376884,59376885,72109674,59376880,59376879,72109672,85695702,99644801,259316956,100072236,86106856,72508192,59774113,48391057,48391058,59774117,72508195,86050303,72451632,269074670,59047738,47646360,37724491,37724490,47646358,268625464,85378615,85695732,72109702,59376904,59376905,72109682,59376887,47986538,38073836,29509655,29509656,38073839,257482028,59879249,72617617,86216089,98864046,84937110,71360332,71360331,59774120,48391061,38487906,29927155,22566956,16386416,16386417,22566959,29927159,38487914,48391073,48391087,38487924,37724498,29164614,29164613,37724494,47646362,47986529,59376872,72109664,72061586,256360366,38073843,29509660,22168839,16045509,11141217,11141216,16045508,22168836,256386213,47986543,59376890,72109684,85695710,258118414,59774145,268969260,29927163,255520738,255099325,22566962,29927169,38487926,47646372,37724506,29164620,21855904,21855902,29164618,37724502,47646369,52295582,256360362,29509673,22168844,16045514,11141222,7389754,4668424,2812414,1631502,927735,522918,522919,927742,1631517,2812448,4127948,2469496,2469498,4128272,4483508,4127969,2469325,2469323,4127964,6588838,10025068,14568719,17658351,12487125,8457731,8457730,12487105,12487106,14568067,255759929,14569688,10025795,6589261,4128195,2469451,2469452,4128196,6589262,254983185,7120275,4483075,4483074,4482870,4482872,7119974,7874589,4999371,4999372,7874592,10832590,10832591,14567746,14567745,14567737,10024238,6588267,4127595,2469075,2469076,4127600,2694424,2694425,4484473,7122422,10779366,14569823,14569822,20302393,14569767,10776145,10776146,15578159,14568159,10024631,7122589,7122587,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,7120211,7121068,7121067,10777452,15579953,15579982,15578581,10776455,10776454,15578576,15582827,10779655,10779656,14569283,15578475,15583700,15579782,10777336,7122716,7122717,7879210,7879211,7122574,7122573,7092185,4465445,4465447,7092192,10734143,15520646,21535495,21608477,21612013,15582806,15482710,15482709,15579814,15579816,15579906,10777427,10776426,7120329,4483111,2693585,2693584,4483102,7120314,7122398,7122396,10779334,15582458,21611685,17658273,15482649,10706575,7073379,4484612,2694479,1561012,1561009,2694469,4484589,7122641,10779728,15582977,21612209,28802199,21535797,16866455,16866456,15582777,15582587,15582590,15520766,15520765,15520807,20300434,20300433,15580329,15580328,21609072,21535536,15520672,15520671,21535531,23135680,16875262,15579916,15579918,21607024,15578519,15578517,21607017,21612295,28882935,23135381,23135375,21606987,21606988,28882922,37277863,28745295,21487121,15482663,10776391,10776392,15578488,10779664,10779665,10779708,15582952,21612184,28888288,37425213,29621772,29521005,28888274,21612170,15582943,15582942,21535768,15520820,10734227,10734226,15520814,10779780,10779779,15583068,21608685,21608684,22178445,17964843,12730746,12730747,17964848,23135669,28745364,29521017,22178532,16052746,16052745,16052751,21535545,16874895,11805144,11805146,16874902,21608694,21608695,21611957,28882942,37277868,37277870,28888208,21612072,15582862,15582865,21612078,16052712,11146175,7392989,4670641,4670643,7392998,11146190,16052739,22178523,28801818,21535387,21535388,28801823,28802178,37340136,37426704,37430153,28888365,22178478,21966383,21966384,16875255,16875256,23135665,29521137,30553677,30553678,24359601,17964864,12730756,12730755,17964860,24359594,23123042,23123041,28884742,28801991,22269269,22269268,29620243,31510039,29445079,29445080,29620121,38187155,31509840,28884745,21608814,21608816,28884755,22269397,16128209,16128210,17663454,17663455,24010170,23118919,16859294,11791737,7874070,7874068,11791728,16026088,22111078,22111898,15999740,15999742,22111907,15999779,15999764,15999766,15999221,15999218,15999821,15999826,17658280,12487060,8457688,8457689,12487064,17658287,16872168,11802979,7883337,5006537,3027029,1761174,1761175,3027034,5006551,7883367,11803020,11803360,16872507,20286585,20286584,16000037,15999156,11107212,7366742,7366743,11107121,7366753,4653917,4653916,7366749,11107223,11107287,11107924,7367117,4654105,2803823,1626561,254250184,7367098,7367059,7367060,11107839,16000129,22112333,22112445,16870627,16083009,16083008,16869249,16869250,23125767,254250024,254250026,16866793,11798381,11798384,16866796,254128144,23131594,22111241,22111242,23120236,23132635,23132636,30550732,30547850,23129495,23129494,254128472,11792667,7879438,7879439,11798249,7882161,7882162,7874356,7874354,7875368,11793300,16861105,16866642,22146261,16870387,16870381,16870380,11928955,11802268,11797439,7878653,7878654,11797442,11802106,11802105,16871268,11803149,11802493,7882885,5006147,5006148,7882887,11802498,16859762,11792081,7883551,5006695,3027156,3027153,3027141,3027139,5006671,254250066,5004917,7881250,254373368,16872487,254558336,254558246,11803321,254173608,3027207,1761286,1003290,565370,565368,1003283,1761271,3027172,5006728,5003204,5003205,3027549,1761525,1761523,3027545,5007268,7884410,7881201,5004852,5004851,7879399,5003185,5003184,7879391,11798207,14555737,11803349,11801331,7881962,7881963,11128054,7381000,4663020,3027191,3027193,5006757,7883610,10015868,10015867,11169247,7880023,5006164,5006162,4123981,4123975,4123973,5006675,4124360,2467380,2467378,1761251,1003273,1003272,1761244,3027120,5006654,7381012,6582710,6582711,5007272,5007258,5007257,7884391,11804480,14554619,14554635,10014778,6582199,6582198,4124404,4124405,6582841,6582739,4124329,4124330,6582743,10015565,10015790,6582923,4663023,2809283,2809285,3027186,5006747,6583531,6583533,10014910,7879645,5003381,5003382,4123987,2467167,1426161,1426162,2467173,2467195,1426258,811320,811321,1426263,2467387,4124373,6582795,10015631,12490403,10607046,6998585,6998584,6582681,6582679,7878617,7878618,10016442,10015572,10015570,6582853,6582852,10015693,8650641,8650640,10014874 Dl.O(d2) = 47278898,58669862,58669881,47278507,37368791,37368782,28828671,28828672,37368735,28828635,21557837,15537196,15537197,21557841,28828645,37368745,47278476,58669864,58669925,50115038,50115039,256336844,71852927,59115103,47717744,37797130,37368748,36774341,36774340,46659594,50115098,61594956,74371335,87973267,98903648,84978373,71404211,58669873,269318870,21557862,15537209,10745508,7099415,4470006,4470005,7099413,10745504,15537200,21557845,28828654,37368758,47278485,40094569,31414804,23925130,23925131,31414806,37368743,37368741,36729820,36729821,46617762,57993883,61960173,50464254,50464253,58669869,47278480,47278479,58669867,71404204,61960154,61960151,61960167,50464249,40426578,40426577,40094597,40094596,50115059,61594942,71404215,58669877,47278498,37368770,28828663,21557854,15537205,15537206,21557856,28828668,37368752,28828650,28828648,23925125,17583930,12411391,12411392,17583934,23925134,28828643,28828642,28235622,28235623,36729826,46617767,47278471,47278472,48002501,59390887,72121963,74760225,61960157,50464243,40426568,37368727,28828630,28828629,37368726,47278459,58669858,60635865,49235185,39308454,39308455,49235188,60635869,71404218,71404217,84978375,98156319,84978357,71404181,58669825,47278422,37368696,37368697,47278425,256336842,84978359,87973264,74371329,61594951,50115081,50115080,61594948,71404238,84978381,71404231,270298185,258069084,50464259,40426585,31732519,24224094,23925163,23925162,31414844,40094614,39308480,39308479,47278577,37368887,37368888,47278580,58669930,60742569,60635876,60635875,58048347,46673476,46673477,47278452,37368717,28828626,28828625,37368712,47278447,49235202,60635883,71404199,60635884,256766188,40376963,50411590,50411592,60635898,49235221,49235220,60635893,60689413,50115074,40094609,40094610,48002508,38091032,38091033,268343622,49235176,60635854,73381829,73381835,60635856,50115078,44360247,34982617,26902742,20020058,20020056,26902737,267949442,49235197,60635879,59390880,48002478,48002479,47278435,37368703,256878259,58669840,71404190,73381826,86996915,84352785,70794039,70794037,84352783,74734104,61939686,50448325,49235228,39308488,39308489,49235204,40376959,40376960,38091029,29527481,22185128,16058147,16058148,22185131,22185150,16058166,16058164,22185147,23294165,30710710,39308443,49235179,60635859,49235192,44360243,44360242,49235191,39308461,30710723,30710722,39308458,38091064,29527506,29527505,38091062,29989734,29989732,38559622,48472666,49235173,49235172,60635851,71404196,71404161,58669762,256929818,37368533,30647030,30647031,39243003,40376989,31683476,29527489,22185134,16058151,11149950,7395362,4671972,4671973,7395367,11149961,16058170,255891273,38091023,38091022,39308465,30710729,23294180,23294179,30710725,38091054,48002519,256878296,40376997,257509951,58825064,58825065,58076709,46704578,36821900,28326505,28326506,36821902,46704585,58076712,70794046,74020687,61240017,49760949,49760950,40377000,40376999,50411602,48529711,38613697,30039064,30039065,29527449,22185113,16058139,11149942,11149941,11149956,11149954,16058159,22185142,29527501,38091059,30710721,23294176,17034561,11949133,11949134,17034566,23294185,30710732,39308467,31683471,24175201,24175202,31683473,40376984,47438343,37530293,28985810,21702701,21702702,28985813,37530295,46704581,46704582,257509955,72121980,61902087,50411600,40376992,40376991,36644397,36644398,46511973,57868405,46704607,36821921,28326512,28326514,36821926,29527444,29527443,31683464,31683467,40376976,36821927,36821928,46704611,58076741,46704625,36821950,28326541,21116682,15170443,255380827,28326537,36821945,46704623,46704571,36821893,28326503,28326502,36821891,36821932,255825774,58076746,58076762,256836661,28326545,21116689,15170449,10462839,10462838,15170447,21116685,21116679,21116678,28326534,36821938,35354242,27231050,27231051,35354243,44778962,36821555,28326265,21116480,15170290,15170289,255809093,28326522,21116664,15170424,15170423,21116662,21116406,15170241,15170240,21116404,15170408,10462812,6896822,254491575,2590025,1493057,1493054,2590013,4329302,6896750,10462682,268201981,28326088,34311408,268087722,19695271,26433423,34311409,43412753,53939685,66010120,79378394,258765562,107952014,260008712,136362228,149627912,161925209,173076641,182960722,191593875,183499252,173721934,162713622,150615470,137619094,123940599,259871756,68078371,55679611,44770709,35345295,27221875,20293455,14562435,10020663,10020662,14562433,16522477,16522476,16522590,19571729,254219630,13303207,13303208,18696254,18196316,12906455,8779626,5718097,3559674,2120950,2120948,3559662,5718067,8779562,12906342,18196170,23054582,23294645,30711216,32253519,24654149,24654150,30105870,30104075,30104074,27974754,20811186,20811187,19440296,13910828,13910829,13815108,13815109,19320171,14407414,9909593,9909594,10051264,10051265,14607269,19319698,13814701,9474114,9474115,9474123,9474121,13814715,15809095,16517687,16517686,17888454,14609329,10052601,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124746, s2 = 14161346, dlinesl.size( ) = 2 s1 = 11124746, s2 = 14161346, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11124746, Dl.E( ) = 24, 2.19e-05 seconds used appending s1 = 11089158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11089158, s2 = 6816733, int(edited[s2]) = 0 s1 = 11089158, s2 = 6816733, d1 = 44, d2 = 95 Dl.O(d1) = 256839593,4340223,6910563,10481312,255382827,28365515,36863822,256888832,46745428,36864352,28366196,25256058,25256060,32978945,36864968,31536747,31536746,28368610,22206128,22206127,21150468,15196362,10481640,10481641,15196364,21150473,28366927,28367363,28367362,28369820,22141188,22141187,29478399,28368032,28365719,21149501,15195796,10481366,6910593,4340234,4340235,6910595,10481370,255382841,23222265,28370713,28370712,23677065,17356934,12227196,12227197,17356940,23677071,31165323,37976623,30643406,23675144,17355389,12226247,12226245,17355382,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,5368150,5368147,3300285,1941122,1108835,622296,345839,345838,622292,1108825,1941101,3300229,5368105,8318971,255172255,8319124,8319125,12316239,17469403,17469402,16948034,11861521,7927292,5039353,254561571,8318760,12315551,268254643,23220932,23802399,21153310,21153311,28370230,23675325,23219558,17468788,12315781,12315452,8318712,8318713,12315461,8319091,5368171,5368170,8319084,7926492,7926487,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340384,5039367,5039371,7927175,7927174,10482593,15198168,21153240,16950066,11862858,7928076,5039760,5039763,5038935 Dl.O(d2) = 86240393,86966302,86966301,258033232,55218226,55218224,67561795,259780363,95318680,81258427,73535219,257548482,60609754,60609755,73354774,86966309,73354740,60609730,49209150,257423471,36926348,28427745,21204110,21204109,28427741,36926339,46804537,258033231,73311849,73311850,86921827,100902291,86921831,86921830,78037590,73354763,258155558,95089162,81030954,67561798,55218227,49209167,257599969,73354749,86966316,87153696,73535223,60787807,60787806,73535221,78037648,78037647,84443443,70886184,70886186,84443445,70886208,58171971,46804540,36926341,36926343,269307657,70886201,84443465,98353219,259284664,81030952,81030951,95089155,108683780,94396724,269351072,52915688,258428995,91964798,106162922,120365503,112336189,112336190,115004450,100950379,86966299,86966298,259780360,70886182,84443438,98353191,98353207,84443454,70886189,70886188,84443452,98353203,259406708,139572031,130611374,116786569,116786568,104270152,90131123,259610017,118440144,126196730,112336200,98353199,98353198,112336198,120365499,115229046,115229045,260024212,271815478,271305007,258681167,71200160,84769324,98697732,112693429,126196712,126196711,139572010,136258858,122285188,107871883,107871884,122285191,116786566,116786565,261337037,140161592,126811535,260358578,119687369,116152128,102094993,102094994,116152129,130060498,130611369,116786564,102693886,88684550,88684549,271431305,130611368,143918871,146821062,262460601,152855280,140161594,126811536,112957434,112957435,105448583,91226191,91226190,77306376,64158203,52306814,41966397,33023605,33023606,41966399,52306817,64158200,77306372,258902388,77306333,64158161,64158160,77306332,77306324,64158155,52306783,52306781,64158151,77306319,91226185,105448580,98968167,85043136,71471261,58741534,47353879,47353880,58741537,71471265,64158158,64158159,77306331,77306378,77306379,77306389,64158216,52306823,41966405,33023609,25297379,25297381,33023611,256034178,61884531,52306791,52306789,64158167,258279932,52306879,41966443,270910454,52306885,64158294,77306406,77306405,64158232,257774269,41966376,268487269,25297371,33023599,41966381,52306788,64158164,258279934,77306388,77306385,64158213,52306821,41966403,41966401,47099588,47099589,58477918,52306794,41966383,41966384,52306796,269879802,269982271,52306855,64158197,64158196,64158251,52306852,257184987,33023615,25297383,18723029,13328442,13328440,18723024,25297374,25297397,33023638,41966447,52306874,64158281,77306383,64158209,258388989,64158135,52306768,41966369,33023594,25297368,25297369,33023596,41966374,52306775,64158146,77306309,269868666,52306836,41966415,33023613,33023612,41966413,52306834,64158227,52306893,52306890,52306889,52306888,64158296,64158236,64158235,77306413,64158242,52306847,52306845,64158240,259015951,77306308,77306305,64158140,52306771,52306772,64158142,64158262,64158261,77306429,77306282,64158124,64158125,64158225,77306403,91226257,77306447,64158279,257184991,41966440,257774283,258388997,64158245,269394350,58381073,58381074,52306853,256003278,41966433,41966434,257774281,77306430,91226267,259015953,64158270,52306869,41966437,257184989,64158273,77306439,271026307,105448565,91226159,77306287,77306286,91226157,91226274,77306443,77306442,64158276,64158275,70705788,255552718,36724952,36724950,46612479,57988640,70705786,257054584,77306290,77306289,91226162,105448568,119687320,119687321,112578001,98584015,84660530,84660531,258885960,91226269,77306424,64158256,52306856,52306840,52306841,64158234,77306410,91226261,259493026,125943646,112110118,258246340,119687325,105448570,91226166,77306295,64158133,52306765,52306766,258388987,91226173,105448575,119687333,126446805,112577999,98584013,98584012,91226259,91226258,105448638,112697976,259283110,133562424,119687386,119687385,105448647,91226282,91226281,84660540,84660539,258885964,98584026,271302215,259643353,77306297,77306296,91226169,260721214,77306292,77306354,77306353,91226223,105448610,119687329,105448573,105448574,112577994,98584009,98584010,112577997,126446803,133562402,133562403,133562422,119687384,119687383,133562409,119687364,105448617,91226235,91226236,259509772,133562411,146821066,260721216,105448612,91226225,258263324,258388993,91226218,91226217,260260049,261424403,142989943,129661962,129661961,133562400,260705334,260705336,119687326,260124720,271026305,91226234,105448615,119687362,133562407,261836266,144688098,131461486,271081310,259704090,119687368,105448622,91226239,77306365,64158193,52306807,41966389,41966388,52306805,64158187,77306360,259509766,259509764,139819687,126446800,112577990,258263326,71097638,58381064,58381066,71097634,84660521,75663150,62716997,62716996,75663147,89426680,103523096,270511358,77306341,91226200,105448592,105448607,91226221,77306351,64158181,52306801,52306800,64158178,77306346,91226210,77306358,64158186,64158185,77306357,91226229,88684543,75033923,75033924,259555229,116786558,130611365,132461951,118621594,104437356,90286604,76456934,76456933,90286601,99801430,112965121,98975969,85050862,85050861,91226207,77306344,64158176,58750400,58750399,71479383,58750402,58750404,64158189,76592882,63513971,257158813,41467265,51736241,63513973,76592886,90450208,271508099,90286620,104437367,113390678,257237848,256162898,59125482,63413520,257158113,32569033,32569032,41429210,51670802,63413511,76456942,90286612,104437359,118621596,271584912,119687345,127682464,113814975,105448601,258447264,99389762,88414603,258293203,50494542,50494543,61986561,74782929,269800705,29241242,29241243,37805351,47727178,59125484,51670803,51670804,258359397,90286610,76456940,258986249,88594810,74952758,71867106,71867105,85452031,257747586,59128730,71867108,85448971,74782927,74782921,61986555,50494540,50494541,61986557,74782926,269102344,59125478,59125479,71863934,85448965,99389760,113390672,127249361,127251871,113393499,99392772,99392771,113393497,102602807,88594813,74952760,62143256,59128728,47730107,37808166,29243914,29243915,37808168,257110961,40589204,50637006,62143262,74952764,88594821,88414597,269887379,61986552,74782917,84024412,97893984,88594803,88594802,90286615,76456944,76456943,90286613,104437362,118621600,132461959,138980047,125641794,116701545,102602813,88594818,258303689,50637005,40589203,31882242,24355775,17961765,255600571,31882245,40589206,50637010,62143269,74952772,84024410,84024409,97893981,102602794,258811818,138980035,132461955,118621597,118621598,132461957,138980037,138980049,125641796,111826797,111826798,116701543,102602800,88594805,74952755,62143252,50636999,50636997,62143251,258926895,88594807,258926899,62143267,50637008,50637007,62143264,74952768,88594825,102602815,116701551,130538804,138980039,125641784,111826773,97893977,97893978,97893974,259877683,125641778,111826766,97893968,84024399,84024400,97893970,102602799,102602797,116701539,130538800,125641767,259435832,97893959,111826761,259435834,125539718,268964396,70425737,57731173,255955902,83952315,97811446,84024406,70489704,57788989,46433788,36569276,36569277,46433790,57788993,70489708,84024414,70489711,57788998,57788997,57788986,57788985,70489697,84024393,259877679,125641774,111826800,97894000,97894001,111826802,125641769,138872364,125539722,269362704,83952325,70425746,57731181,46381090,36521592,36521590,46381086,57731177,46433798,36569280,28098198,256280029,46433793,57788996,70489709,84024418,97893986,111826778,97893988,270865630,84024398,84024397,259877681,260652836,138980041,259435840,111826791,97893996,97893997,111826794,125641793,258811824,101218135,268964398,70425742,70425743,83952319,70425740,70425739,83952322,86800499,100781398,111826776,97893985,87217277,73595268,73595270,87217280,101218141,115296314,125641786,129224785,115296311,259435836,73595262,60845813,60845812,73595261,87217271,101218136,271359096,115296308,115296307,118982770,104791326,90619917,76753704,270494115,104791327,101218144,87217283,87217284,101218147,111826788,97893995,84024427,70489718,57789000,57788999,70489715,84024423,97893990,111826782,115296323,101218149,101218148,87217287,259406356,60845809,60845802,49444285,49444283,60845799,73595239,60845793,258225851,87217255,101218131,260089515,261228450,271348210,73595259,60845811,49444290,39513108,256424400,23470313,256491643,49444301,258225853,87217258,73595244,60845797,49444281,39513104,30904943,30904942,39513102,49444277,60845790,73595237,87217253,73595254,60845806,60845805,258848621,87217265,73595251,60845804,49444286,257606185,49290095,60691452,73439617,85435387,87217252,85435383,71849835,71849836,258811816,87217246,73595233,258157206,39513098,39513097,49444272,49290099,257618139,49444270,258848619,87217268,85435389,71849844,59111645,59111644,258697919,58745846,58745845,59111641,47714102,47714101,59111640,71475258,85046924,98972014,86800491,73188149,60441050,60441049,60691467,269370474,23338898,17072761,11984618,255145293,268426645,39362900,49290093,60691451,259002536,37452236,28912777,28912776,256883119,58745840,71475260,64710532,53345543,42881276,33837967,26018595,19343420,19343421,23338904,30761739,39362920,47874912,256698058,15957041,11074373,7343163,7343164,11074375,15957044,22061431,29391885,32491333,24849249,256601167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11089158, s2 = 6816733, dlinesl.size( ) = 2 s1 = 11089158, s2 = 6816733, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11089158, Dl.E( ) = 124, 5.2e-05 seconds used appending s1 = 14047574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047574, s2 = 14163275, int(edited[s2]) = 0 s1 = 14047574, s2 = 14163275, d1 = 14, d2 = 8 Dl.O(d1) = 6512904,9909431,14407151,14407702,9909790,9909791,254911782 Dl.O(d2) = 79234088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047574, s2 = 14163275, dlinesl.size( ) = 2 s1 = 14047574, s2 = 14163275, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14047574, Dl.E( ) = 32, 2.5e-05 seconds used appending s1 = 940426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7880796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880796, s2 = 11158590, int(edited[s2]) = 0 s1 = 7880796, s2 = 11158590, d1 = 10, d2 = 36 Dl.O(d1) = 258687202,258687204,72435552,72435553,258687206,259377614,91733133,257519968,42335856,41620657,41620658,255621888,52170823,255225778,41135340,32321574,24706964,24706963,32321572,31579871,24074244,24074245,18663737,13271976,13271977,18663739,25232623,32952424,41887779,49892122,255785018,22974778,16738296,11694598,11694597,16738295,255953797,38961024,255580324,53331836,42870642,33829488,26011437,267772820,9484235,6219134,3892665,3123308,3123306,5136473,8046415,9779938,9779934,8508922,6429796,4033835,4033833,4036681,4036682,6008407,6008408,6435075,4036790,4036789,4037209,4037985,6437140,6431011,6431009,9781395,13907184,9544569,9544568,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,6510224,4079572,2440922,2440917,4079560,6510205,9905082,9779106,6429669,4033758,4033757,6429662,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188193,5226226,8156015,7170917,4516737,4516738,7170921,7970368,10397312,15074433,20987065,21711320,21711321,28995964,23548880,17241016,12124084,8155692,5226049,3188057,3188058,5226043,8155684,12124071,17240997,23548853,31029940,24639355,24639354,256180596,26130244,33968978,43026828,53506492,47639464,37717307,37717308,34677942,26684248,19865784,14232855,9784047,9784045,14232850,19865779,256204717 Dl.O(d2) = 180217876,180217875,181380247,261471610,106714205,92408903,92408902,106714204,120966441,106714194,260311726,91788235,77865730,64675649,52760582,52760583,64675650,65083730,53097936,42647348,33619765,25819316,25819317,25819313,19169163,13688580,13688581,19169165,257821677,259067313,259392342,86024176,258767238,257534216,29821332,22453963,22453964,25531254,25531253,33292856,38056108,29492022,29492021,38056104,47969399,59360428,72093967,72018099,72018098,59424324,59424323,72163217,72018043,59281067,50409516,40374962,31681660,24173491,24173492,31681661,24174078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880796, s2 = 11158590, dlinesl.size( ) = 2 s1 = 7880796, s2 = 11158590, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7880796, Dl.E( ) = 38, 2.5e-05 seconds used appending s1 = 14079685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079685, s2 = 11657731, int(edited[s2]) = 0 s1 = 14079685, s2 = 11657731, d1 = 15, d2 = 12 Dl.O(d1) = 65971706,257863875,43381556,34282850,26407815,19673056,14102662,9699803,6815143,4274676,2555708,2555709,4274680,6815154,10350328,15022530,17988065,24387685,31920405,36578980,46444059,57799225,46444048,36578973,36578972,43380676,34282182,26407308,19672732,19672733,26407314,34282187,38693502,38693525,38693524,48609091,48209722,38299903,29732289,29732290,29732302,29732300,38299914,48209730,47064182,47064181,58439861,53904838,53904840,65971179,72737437,60000543,48609185,38693616,30117308,22735884,16529405,11520083,7663195,4848463,4848462,7663192,11520073,16529385,22735860,30117258,38693539,258165217,65970496,53904254,43380672,34282180,26407305,26407304,34282178,38693608,38693607,48609179,257213666,269513876,85925934,99881383,99881386,85925936,85925937,72737428,258678342,30117286,30117285,38693584,48609147,38693570,38693571,48609149,48609132,38693557,30117268,30117269,38693563,48609138,41151448,39911508,31235970,23752897,23752896,31235968,39911504,49930035,61409104,51359776,41173592,41173594,51359782,51359787,41173601,41173603,51359794,60052956,72791484,63041060,51359756,41173576,32357732,32357734,41173583,42257454,33277785,25517477,18907696,13476073,13476074,18907702,18907709,25517490,30153478,30153479,38735540,30153501,22765488,22765489,30153505,38735573,33270968,25510386,25510387,33270972,42250364,52635660,64534407,77715441,72791472,60052928,60052929,52642975,42257450,42257449,42257463,42257462,52642991,48656464,38735543,30153481,22765470,22765472,30153484,24723962,24723963,32339942,41154961,51339980,48656526,38735594,30153520,30153521,38735596,38735492,30153451,30153453,22765474,22765473,16551989,16551990,255935595,30153530,38735608,48656498,41154950,32339927,24723952,24723953,32339931,41154952,41154972,42257477,33277781,33277782,42257478,38735583,38735582,48656481,48656482,51123296,40981050,32200975,24612556,24612558,32200978,40981057,42250359,33270966,33270965,30153444,30117241,30117242,30153473,38735533,38735547,38694969,38694968,48610523,51333375,51333374,268795500,30153489,30153491,25972958,19305877,19305876,25972953,32339974,24723994,24723993,24723955,255226593,12947984,18250929,24723958,32339935,255493260,256434950,258788961,60001800,48656399,38735476,38695103,268956269,258165333,86335882,258788914,60053043,60053044,63014253,64542161,256189740,38695032,30118590,22736870,22736869,30118588,38695029,41154968,32339951,24723969,18250934,18250935,24723972,32339955,38695018,30118577,30118576,31153825,39836724,49860520,51339968,48656601,48656602,48656655,48610591,38695040,30118596,30118597,38695043,39836074,38694729,30118372,22736705,16530084,11520513,11520512,16530078,22736856,22765514,30153532,38735614,48656544,38735664,30153584,22765565,16552018,11536754,11536753,16552012,22765552,30153574,38735656,41154994,32339967,32339966,39925419 Dl.O(d2) = 22736720,16529980,11520458,11520457,16529976,16530001,16529999,22736751,22736899,22736900,30118641,35101243,35101244,30118157,22736582,22736585,22765542,22765541,22765569,22765570,30153591,38735675,48656618,39925433,31249760,23765184,23765183,30118188,22736597,16529905,16529904,22736594,30118183,38694477,38694519,30118207,22736607,16529911,16529909,16530019,16530020,22736772,30118448,38694831,38694741,30118387,22736724,16529989,11520464,7663417,4848580,4848581,7663423,11520469,16530007,22736728,30118391,38694745,48610265,53843613,48609899,48609900,48656589,38735646,38735645,48656586,60001191,60001190,60001622,269354238,39925414,39925409,49943142,61421172,60001275,60001276,72738129,258788941,60001625,60001626,72738369,86335604,72738329,60001546,60001547,67662661,55322476,55322475,67662659,81129889,259788719,100297500,86335595,72738315,72738314,86335594,77598171,64429294,64429293,77598168,86387353,86387352,91974740,91974741,86335389,77598157,64429282,52554897,52554896,52925585,42515077,42515078,52925587,64851170,78048299,259413627,100297390,100297389,114327644,128210467,127863039,270856166,259413622,72738204,60001379,60001380,72738207,86335514,100297436,106172644,91975058,269102674,42515535,38694748,38694747,48610268,60001525,72738306,86335589,100297496,114327705,106172432,100344540,100344539,105752592,91529130,91529129,271053933,114327639,100297384,86335435,72738120,60001270,48609986,48609987,60001274,72738126,86335439,100297364,260631241,100296952,86334910,86334913,100296958,112815089,98823783,84896837,71323258,258688235,58589980,58589981,71323256,84896834,91974757,78048449,259056653,78048454,78048455,91974819,106172484,120374526,106172498,91974845,78048488,257813891,42515206,33515273,25735852,19103044,13639100,13639096,19103038,25735846,30117319,30117320,38693633,48609212,60000575,60000576,72737485,86334886,72737518,60000608,48609222,38693636,38693635,48609218,60000601,72737454,60000554,60000553,72737451,60000566,48609197,48609198,60000571,64851347,64851338,64851337,78048471,91974832,91974799,78048425,64851312,52925703,42515179,38693657,30117328,22735893,255933269,38693650,269354215,72737456,85531367,91974809,86334949,72737554,60000628,58661100,47269925,47269924,269339344,71943514,256937572,91974787,86334863,86334862,100296915,86334909,72737576,60000639,60000640,72737580,86334896,72737498,72737499,269809338,78048467,78048465,78048464,91974826,106172488,120374515,106172469,91974795,78048422,64851309,58810146,47423071,38693645,30117326,30117325,38693641,48609231,60000627,72737549,86334945,100296918,98895524,84969984,71395589,58661111,47269930,37360135,37360134,47269927,58661102,59204465,59204466,71943518,85531372,99477781,111900919,97963429,84089656,70553079,57851681,57851680,70553066,257598676,111900873,125718351,112113954,98154525,98154524,112113952,125947914,139297307,152004479,147328675,139057383,125718401,111900922,111900899,97963409,84089643,70553073,70553074,84089647,97963417,111900912,125718390,128794879,114897558,101817589,101817587,115864172,128794885,128210170,128210172,140223109,126875981,113023536,113023537,126875983,139297305,272209896,106085302,91890074,77965251,64770413,52850695,52850696,64770416,77965255,91890131,98154521,84260634,70709376,70709378,84260637,98154527,112113957,114327329,114897547,114897546,120285787,106085334,106085335,120285789,120285808,129763648,115864184,111900900,97963411,97963412,111900904,125718378,128210209,128210211,141566251,129763643,129763572,115864086,101817501,87843068,74237765,61458427,61458428,74237767,259501843,86334918,86334917,86865390,73252446,60505493,49101431,39171070,39171072,49101438,60505505,73252465,64770407,52850693,52850692,64770405,77965236,91890101,87843113,74237795,74237794,87843110,260116967,115864113,115864112,111900907,111900908,114897552,114897554,114327339,114327338,106103139,91908508,77984713,64791086,64791085,77984710,91908502,106103134,101817509,87843077,87843078,87843140,74237810,270384053,86865387,86865386,100846651,114897523,101817496,87843062,74237761,74237760,87843058,101817493,260713713,129763616,128794853,128794854,142150199,261244146,142150219,272585398,136288936,129763575,261286739,133606894,119733284,105494894,91272671,91272670,259647531,77352747,64205051,64205050,77352744,91272666,100846645,86865380,73252439,73252440,86865383,100846647,260663377,142150201,262295723,260713727,115864164,129763638,143094138,129763624,129763625,129763630,129763629,143094141,133606899,133606893,133606892,119733291,259647535,77352751,64205055,52354744,52354743,64205053,64205056,77352754,91272675,105494905,107895447,122312037,136288549,149553452,159236877,170574092,159236869,154784843,146863628,260956608,105494852,91272623,91272624,105494854,119733245,129763640,115864166,101817583,87843121,74237802,74237803,87843123,77352771,77352770,91272699,91272733,77352789,77352788,91272729,91272738,93465951,79334753,79334752,74237791,61458443,52354750,42015528,42015527,52354748,64205064,77352766,91272690,93466105,93466106,259647545,91272715,105494947,105494884,91272657,91272656,105494882,119733271,133606888,133606879,119733263,105494873,105494872,105494885,105494886,259647546,101817580,270984688,64204983,77352684,77352712,64205082,52354763,42015533,42015534,52354764,52354767,52354769,64205089,77352694,64204993,52354685,52354686,64204997,77352696,91272626,93466099,270072317,65971241,79334936,93466101,79334928,65971236,65971238,77352741,64205046,64205045,77352739,91272662,105494891,119733282,119733259,119733257,105494878,91272652,91272653,79335286,77352715,77352714,77352676,257778695,42015486,42015488,43857974,34587344,34587347,43857978,52354759,52354757,64205076,77352664,91272598,91272635,77352705,64205004,52354691,52354690,64205000,77352702,91272630,105494860,107895446,93466113,79334944,65971246,53904900,43381185,34282568,34282567,43381182,53904896,65971208,77352670,79334963,77352650,64204969,64204970,77352653,91272594,91272648,77352736,77352735,77352720,64205014,52354697,42015498,33071551,25341732,18761588,18761589,25341739,33071556,42015502,256708906,65970988,77352660,64204975,64204976,65971156,65971157,65971407,53905070,43381343,43381344,53905074,65971413,79335099,74199700,61421168,61421169,74199702,65971213,53904874,43381171,43381169,43381193,52354629,42015446,42015447,52354631,53904673,53904679,53904678,50143461,50143462,61625355,52354656,42015469,42015470,52354659,52354705,52354712,52354713,52354718,48768470,48768467,42015455,33071527,25341716,18761576,18761575,25341712,33071520,42015451,52354619,52354642,42015460,34282509,26407546,26407545,34282504,43381112,53904815,65971159,79334861,79334740,65971021,53904685,53904686,65971026,53904877,53904876,53904365,53904366,53904867,43381220,43381218,43381439,43381440,53904949,61625361,50143465,50143464,61625358,52354648,52354647,64204949,77352643,86496060,258178081,52354649,52354627,42015444,41681227,32765383,26407532,256188965,43381075,53904783,65971138,79334859,93466047,89693827,75917322,62938432,62938433,53904950,53904469,43380850,34282306,34282305,269145633,34282765,34282256,34282257,43380768,53904361,65970628,65970938,65970937,53905213,43381469,257269101,34282654,26407662,19672932,14102579,9699758,6379471,4002438,2398474,1387890,1387892,2398480,4002453,6379499,9699806,14102664,19673057,26407818,34282853,43381557,269577975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079685, s2 = 11657731, dlinesl.size( ) = 12 s1 = 9811917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9821743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7557867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7557867, s2 = 14162523, int(edited[s2]) = 0 s1 = 7557867, s2 = 14162523, d1 = 1, d2 = 2 Dl.O(d1) = 267890002,16231839,16231840,21121137,28332695,33188509,33188510,30581624,23164008,23164010,30581629,267912756,47910839,37994767,29432363,22100367,15990727,15990726,11842721,11842722,11842725,16921834,23188287,29436857,28545107,24759921,24759922,27222944 Dl.O(d2) = 268598350,63833455,52018577,41708234,32792379,32792377,41708229,37044625,37044572,37044571,46922422,58288007,63833448,63833449,65782136,53946823,43420524,34319897,26442054,26442053,34319895,43420520,53946816,46921626,37043700,37043699,28544544,21321011,15350161,15350160,21320933,15350102,10604078,10604079,15350096,21320923,22895613,22895614,21320911,15350090,10604071,10604070,15350089,21320909,15350107,15350108,21320941,21320968,15350175,10604120,6996535,254314254,15350164,21321016,254095540,14335961,9848329,6468367,4052995,2425739,2425738,4052993,6468363,9846802,6467256,6467255,9846800,14333910,13191123,8992445,8992444,13191118,18563105,14333911,14333912,20014118,26895777,32816558,254213632,254467948,25093692,18547205,13178347,8983058,5864643,5864644,8983059,13178349,18547208,25093699,32792424,25407786,18817253,18817252,25407784,25093630,18547156,18547157,25093632,32792346,41708196,52018540,41708269,41708270,255394022,28501929,36999337,267823846,36796652,36796651,46682611,42102342,42102343,52454791,58244929,70961515,84525007,71804132,59063445,59063444,58244891,58244892,63833431,52018550,41708201,41708202,52018552,58244932,46877928,36999572,28502197,28502198,32363766,24747183,24747184,32363767,41179573,47338323,47338322,58726843,71457114,85029171,89576146,103691278,90681701,76813241,63712246,51905653,51905652,51905665,51905664,60783231,60783230,73530727,257755105,41605878,256612631,25018932,25018933,25018940,18488843,18488844,15240811,10513780,10513779,15240810,255387205,10513782,6933125,4356159,2609456,2609455,4356157,6933096,6940389,267823310,2625054,1515209,858932,858933,1515211,2625056,4382766,4382422,2624764,2609543,1509179,1508645,855477,855476,1508642,2607425,2607427,267881047,4360868,4361951,6940858,10524305,15254883,10525571,6941839,5600529,3476466,2062703,1183834,664977,368847,201988,110214,110213,201985,368841,664969,1183817,2062680,3476432,5600493,8615730,12684337,17904922,24285765,31799783,40494853,50530613,46303125,36816816,36816817,46699503,46699505,268066722,21110485,15164480,10458019,10458017,10458018,255380479,28320782,36816818,41862867,255237624,59029455,47627173,47627172,59029453,59029456,71772072,64436915,52561833,42201941,33240945,25491194,20329831,14590067,10039380,10039381,6597678,4133389,2472600,2472599,4133386,6597675,10039389,14590051,20329799,27264401,35389999,35390079,35390078,44814853,55721363,47628077,37705822,29145669,21837882,21837881,268625075,47628076,59030294,71772800,85362446,99307334,258026300,269328853,256358683,21837903,15768288,15768289,15768277,10920587,10920586,10920585,7222471,4550638,2735433,1584998,901068,508264,508263,901064,1584992,2735425,4550628,7222455,10920556,15768225,21837797,29145541,37705662,257480353,37705681,29145563,21837806,15768231,254750513,254750515,15767992,10920349,7222284,4550505,2735342,2735341,4550504,7222283,10920347,15767987,21837532,29145044,29145018,21837346,15767842,15767841,21837353,29145029,21837427,15767895,15767893,21837387,15767865,10920271,7222241,4550477,4550478,7222243,10920275,15767870,268393511,29145395,29145396,37705286,29145432,21837695,15768416,10920742,7222631,7222630,10920738,15768407,255864629,15767795,10920233,10920232,15767792,21837278,29144906,37704940,47627177,47627176,59029459,71772077,85361836,85361838,71772079,71772080,85361840,99306778,260377862,99306781,99306783,99306782,113310330,113310331,261686293,271471498,142901559,129585807,258946574,129585809,115699564,115699559,101655690,101655691,87684091,74076773,74076768,61295039,61295040,256064108,49815294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7557867, s2 = 14162523, dlinesl.size( ) = 2 s1 = 7557867, s2 = 14162523, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7557867, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 14085842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15063983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6792485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1012947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1012947, s2 = 2897939, int(edited[s2]) = 0 s1 = 1012947, s2 = 2897939, d1 = 38, d2 = 19 Dl.O(d1) = 25583647,24877850,18379914,13054515,8894679,5802999,3619120,2161064,2161066,2160357,2160360,1282843,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841 Dl.O(d2) = 86439882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1012947, s2 = 2897939, dlinesl.size( ) = 2 s1 = 1012947, s2 = 2897939, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1012947, Dl.E( ) = 48, 1.91e-05 seconds used appending s1 = 10206202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343549, s2 = 11264562, int(edited[s2]) = 0 s1 = 10343549, s2 = 11264562, d1 = 29, d2 = 21 Dl.O(d1) = 254459202,5186907,5186906,8096323,12043247,13568973,9290284,6085813,3807898,2280983,2280984,3807901,6085819,9290296,10484477,6912618,6912619,4882176,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,13677482,256041175,17823109,254872645,8565935,12619206,17822546,17822545,17822932,19082815,13624218,13624217,254929669,9279006,13553839,18993366,16988048,11902879,11902878,16988044,23250911,25712368,19084605,13625575,13204837,13204838,13580116,13580117,19025643,19040141,13591416,13591417,13588312,13588313,19036320,25655099,25623832,20285143,14555159,10015172,10015173,14555163,16468603,11474497,7632151,7632150,4828592,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25601174,254437922,24523681,25143801,32850604,35021415,31225356,23742027,23742026,19010889,13568231,13568228,19010881,256141853,259051832,25674040,25939920,25939921,33747553,31333843,23841927,23542414,17234041,12115255,12115254,17234038,23542359,28008638,22638485,22638482,22637818,16449364,16449363,22637816,28553741,21328599,15356519,15356520,258044059,259914457,259070922,53165958,42716309,256819770,9405649,13729936,18235904,12935004,12935005,254706696,5621353,3492344,2074643,1191849,1191850,2074652,3492362,4847119,2920715,1694174,1694173,2920708,4847105,7661117,11517009,11517038,13274858,9059611,5923409,4846595,4846597,4846769,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429841,2473530,4134979,6600346,10043749,14596608,18691453,16514969,13305147,13305148,18698160,18698068,16162114,16162115,14914998,14914999,18222243,12924859,8792440,6074027,3800454,3800457,6074036,9272852,254850218,254920305,2248470,1304290,744224,254146815,2248472,2250569,2250568,3757303,5372640,3303477,3303478,5372641,3303610,3303609,2251466,1306507,745730,423663,239066,132102,71802,71800,132098,254093691,745713,748463,748462,254204907,3302485,1942461,1942460,1454617,1454616,2411301,2411302,3756933,2258700,1310984,1310983,2258698,3769825,6026001,6026002,3769828,2258702,1310985,1310986,2194857,3666838,5872575,5862510,5372637,4110426,2458720,1421322,1421321,2259372,2259373,3769814,2258678,1943178,1110091,1110090,1395288,1395287,2411189,2416049,4023104,2410496,1394701,793130,793131,254147373,748747,1310975,1310974,793350,793348,793593,254151883,2251341,3758285,3757787,2441192,1411585,803064,803063,1411583,2441187,2192917,1273354,727905,414177,414180,727915,729360,415314,415313,729363,802600,454714,454715,726522,413192,254082105,69635,69634,128560,69989,37821,37820,69983,37976,37975,70091,129302,233974,234204,129214,70043,70045,129220,129339,128797,128796,233558,413609,233588,128813,69807,37719,20763,20764,37723,69817,128830,233611,139896,76416,41521,41520,76407,139875,234488,129412,70156,37907,37908,70158,129420,234505,415016,728562,414708,413813,233691,128887,69864,69863,128883,233683,413795,727264,1272373,2191704,3662897,5866988,254906791,5866947,5866948,8986550,13183128,254639181,3663012,2191758,2191757,3663007,5867166,8986823,5867131,3662994,3662995,5867136,5872387,8994558,8986561,8986560,8994549,13194059,18566976,18553652,18553653,18553597,13183332,8986704,8986705,13183334,18553406,13183175,13183176,18553408,13183364,13183365,18553646,18553593,13183327,8986701,5867078,5867079,8986747,8986677,5867036,3662932,2191717,2191718,3662936,5867043,8986692,8986745,13183353,18553637,25102171,18553687,13183396,13183395,18553686,25102008,18553886,18553888,13183553,13183554,18553580,18553581,25102106,25102685,23782625,23782623,31267707,32803934,25102125,18553599,18553600,25102127,25101868,18553379,18553377,18553702,18553529,13183286,13183287,18553533,25102036,18553615,13183340,13183339,255642937,13183295,8986673,5867032,254639167,13183297,18553556,18553579,256104381,25102176,31267690,23782609,23782610,31267693,32804121,256038236,23782529,23782530,25102113,18553584,13183321,13183323,18553587,25102097,25102098,25102081,25102080,256104413,18553914,18553913,18553604,18553605,25102092,18553575,13183314,13183313,18553573,268483795,23782556,23782573,256010457,255907348,23782613,25102076,25102075,31267627,31267626,31267623,31267622,39942406,46499959,39942433,39942434,41724226,41724225,39942377,39942378,39942386,41724148,32804040,25102108,25102109,32804033,25102099,25102100,32804017,32804018,35370491,27246310,23829033,23829029,31318822,39995897,49959352,255174244,36633013,31267618,255559641,17452530,256010473,25881551,25102051,25102052,255559649,12303093,254591321,3296139,1938600,1938599,3296137,5361869,8309822,12303080,17452521,23782655,31267738,31267557,23782517,23782518,31267561,39942354,39942442,31267678,31267536,23782505,255171017,8309786,8309787,12303027,17452432,23782512,31267547,23829038,17491117,17491118,268440353,39995900,33687909,33687910,42717917,35370440,27246266,20314509,18875928,18875929,23370709,17102026,17102025,23370705,255559643,12303087,8309825,8309808,5361862,5361860,8309812,12303060,17452484,23782595,31267655,25881544,19222320,19222321,25881548,33687906,31267758,23782672,17452539,12303091,12303092,17452543,17452428,17452424,17452425,23782502,31267531,39942337,35370334,27246180,20314430,14578631,10031691,10031690,14578625,20314419,27246175,35370325,27246225,25477629,18875934,13451151,9198757,6022647,3767805 Dl.O(d2) = 269103065,92592983,271586017,148109585,263747325,204366179,264650035,204133850,197626813,189985119,189985118,197626812,264370355,265120060,204133850,264370357,274148497,265648253,227513665,274445094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343549, s2 = 11264562, dlinesl.size( ) = 14 s1 = 8125190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8125190, s2 = 956048, int(edited[s2]) = 0 s1 = 8125190, s2 = 956048, d1 = 111, d2 = 88 Dl.O(d1) = 256889768,255854984,36593075,30246425,22852176,16627189,16627191,14502518,9979327,9979328,14502522,20210404,27111506,21703229,15662292,15662294,21703236,28986598,37531344,28988868,23743332,17418543,12276885,12276882,15573604,15573605,21600908,17091417,17091362,12004069,12004071,17091372,23182901,23182902,28985768,21702668,21702669,28985774,37530262,47438305,38106761,29543538,22200353,16071406,11160056,7402568,7402570,11160064,16045627,11141282,7389783,4668438,4668435,7389776,11141270,16045596,14502512,14502513,20210371,27111463,32814518,25111474,18561784,18561782,25111467,32814505,30785327,30785328,31226904,23743314,17418528,17418527,23743310,23360176,17091426,12004106,8058903,5150828,5150831,8058909,12004114,17091440,23360188,30785383,39387581,47441767,47441768,58827853,47986810,38074062,38074061,38106737,29543522,29543521,22200381,22200382,29543582,256347948,22168927,22168926,29509807,256928547,47438743,47438742,55426482,52049628,255980680,32814538,41735093,52049625,63868743,61403223,49923459 Dl.O(d2) = 24176772,31685372,31685368,256546827 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6517313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6517313, s2 = 8228322, int(edited[s2]) = 0 s1 = 6517313, s2 = 8228322, d1 = 17, d2 = 18 Dl.O(d1) = 255476561,21800103,21800104,29097536,37646297,256327424,257106819,32838528 Dl.O(d2) = 255839586,14949104,255359833,28015061,36475624,46331082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6517313, s2 = 8228322, dlinesl.size( ) = 20 s1 = 9820117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1294288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1294288, s2 = 8329842, int(edited[s2]) = 0 s1 = 1294288, s2 = 8329842, d1 = 31, d2 = 41 Dl.O(d1) = 36539904,28072634,28072633,36539902,46400914,40547606,31849498,24329701,17941463,17941462,21395270,21395268,28634603,21917918,15834166,10972866,10972865,9422390,9422389,13751104,19245285,15834158,15834159,21917908,29235489,37798118,47718692,51801776,51801775,61963103,269539008,52709333,51801558,51801559,63587521,52709339,42322168,42322169,52709344,256916592,60720972,51802158,41524244,41524245,51802163,47825697,37904074,29335361,29335362,37904077,39132647,39132646,37798103,37798102,37798134,29235502,21917915,21917914,26312042,19587038,14033224,14033222,19587033,22504457,29865478,38427927,33808303,33808302,29235482,29235483,30723700,23306082,23306080,30723695,32637591,24967516,24967514,29235472,29235471,30746541,30746542,24967389,24967390,32637356,32637859,32637858,25422125,18829378,18448626,18448625,24967764,32637979,33164443,31849490,24329697,24329696,29338566,22007179,22007178,28231002,28231003,36724781,32637479,24967453,24967452,32637473,37758381,29196884,29196883,37597772,254561134,32637559,41523795,51801755,53311723,65311214,71821668,59080612,256523368,41523456,32637260,24967326,24967327,29049895,37597810,47501723,47797375,47680644,37758405,29196898,21884571,21884572,29196903,37758411,43932089,34658850,34658848,43932081,38427919,37873071,29303795,21976291,21976290,29303791,37873068,38226557,41524041,47501700,37597786,37597787,43932045,47680614,43932040,43932041,43932034,43932033,268659294,47501681,37597768,29049874,21755932,21755931,29049872,37597763,47501674,47797381,37873036,255877219,15881628,15881629,21976283,29303779,37873048,47797401,47680639,47501691,37597777,37597778,29764596,268638303,47680619,47680618,38335392,38335393,255527764,29764624,29764625,38335403,255141980,29764607,22402049,22402048,29764605,38335379,36724757,36724756,29764593,29764592,38335363,48245748,59080625,47680648,37758409,37758408,47680647,58695956,47797386,47797385,46612400,36724771,36724770,46612398,57988588,59143291,71881497,257644650,85961958,72367119,59632756,48245730,38335351,38335353,48245735,47744657,47744653,47744652,58616380,60431245,60431244,73178058,71881473,63587674,63587675,76124272,76124273,71881493,257158036,47744578,37822617,256476116,38228114,48138278,54674542,48245716,48245717,57682581,46335577,36479794,36479795,43932121,43870675,34600434,26613206,26613208,34600442,43870682,54613157,47744483,47744482,48245712,46337388,36481415,36481418,46337396,47681384,40021190,40021191,37822677,29257749,21937087,21937085,29257745,37822668,37822564,37822563,47744505,59143207,257208684,52688656,258415547,59143220,59143219,58631891,47238571,37328863,37328862,256652694,34126918,26260959,26260960,34126920,43214565,52717340,42330197,33348769,25588421,25588422,33348773,42330204,43214213,43214214,42814113,33781510,25971169,25971170,32926891,41857113,52182122,48426199,48426200,59812173,72369798,59635683,52246376,268284190,77042091,64016086,52182125,41857115,41857116,52182127,64016090,64797068,52877610,52877612,57965873,46589419,36702588,28211390,28211389,25588427,18979510,18979511,25588429,33348783,42330219,52717358,64617534,77800049,64780901,52861323,52861324,52877564,42473461,33479811,33479810,42473457,42457337,42457336,42473521,33479882,25706391,19079584,19079583,25706387,33479879,29953933,29953932,25706363,25706362 Dl.O(d2) = 16835161,23089112,23089026,23089025,20852239,20852238,28018586,30899129,31538914,28803855,21537250,15521994,15521995,21537254,21537232,21537230,21537239,21537240,28803841,27189501,27189502,35308979,36479593,36479862,46335441,57682481,46335472,36479659,34120838,26255713,23089018,23089017,21954197,15862950,15862951,21954198,16208428,16208427,22361458,29717491,29515535,22173953,16049446,16049447,21537221,22173943,22173945,29515525,27189508,27189506,35308982,37843869,29276956,21953057,21953056,21955414,18541119,13174326,13174325,18541115,25085471,19537273,19537274,26255684,34120810,28803817,21537214,15521972,15521973,19537284,13989229,9610041,6312066,6312065,6312072,9610050,13989242,19537308,26255726,34120848,43208122,49437429,40527966,39128682,30530260,23112101,21537204,15521969,15521970,21537208,28803812,35308974,36479741,39506564,30899107,23465545,23465544,30899103,39506557,44827127,44827128,37843862,30528920,29289830,28803802,21537197,15521963,254457312,28803795,37341836,43009564,50278303,61758240,74541953,74541954,88156628,102147257,116208289,116208290,130119430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1294288, s2 = 8329842, dlinesl.size( ) = 14 s1 = 9039730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1028836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10995854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14047902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047902, s2 = 8208863, int(edited[s2]) = 0 s1 = 14047902, s2 = 8208863, d1 = 4, d2 = 0 Dl.O(d1) = 255062005,7258804,4577860,2754210,1596578,907613,511808,286859,286861,511810,907617,254231645,4577895,7258877,7258880,8608530,12676063,17895450,21000167,21905806,15825372,10966703,10966701,15825369,21000195,15084443,10404363,10404362,10966723,15825404,21906410,29221681,28183512,21000645,15084786,10404582,6858518,6858519,10404584,15084783,15825108,21906071,28183127,21000270,15084505,10404403,6858415,4304153,2573382,2573381,4304151,6858413,254716425,4304185,4304184,4577798,2754172,1596561,1596563,2754178,2754202,1596575,1596577,2754207,4577856,7258799,10966561,13672221,9362770,9362771,13672225,17171427,12073576,8118803,8118802,12073573,17171420,16492778,16492777,21905749,20109827,14420838,9919362,6519220,4084720,267871567,5970727,3733894,2235569,1296463,1296461,2235565,2463442,2463443,4118552,4394992,6993322,10599919,14423306,9921777,9921779,8635941,5616254,3539347,2106887,2106886,2648955,2648957,4416544,4914029,5762484,5762482,8842131,9125592,9125590,10010941,6579720,6579719,10010939,14549058,19231438,254941269,6167115,6167114,9412824,255744803,35084448,44459629,50033113,40014423,37824043,37824045,47746061,42983180,33929503,26096251,19407000,19406999,26096248,24150260,24149292,24149293,31659736,40354709,31659724,31659722,40354704,37790876,29228732,21912362,21912361,17483656,255032912,15365460,21339571,256317397,37789723,47710705,37793560,29231457,21914678,15831888,15831887,15830320,15830321,21912713,15830354,10970328,10970327,10970434,7261438,4579527,4579526,7261434,10970425,15830531,21913021,23818808,17483683,17483682,23818804,28566770,28566768,21339564,15365454,10616378,255031039,21339562,28566763,37068853,46948311,58315141,71031033,84595432,98520519,258296280,67755445,257415304,38754380,38754379,48060981,38148198,256306546,38222426,29656478,29656479,26591615,26591617,19792095,14176775,9746044,9746046,14174767,9744763,6409009,4020751,2409284,1394110,792817,792816,1394106,1452954,1394073,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,10041683,14593341,255344371,16130946,11205637,11205638,16130948,255899365,34585255,27938630,255669328,6730782,6730783,10243612,14897359,14511932,267890750,11341884,16300487,22469030,25761619,19122412,14551881,14551880,14178109,9746916,9746914,14178105,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,15819889,254348828,10963401,10963402,15819818,21898581,29212719,31233999,31234000,25418946,25418947,24120295,24120297,31625687,35257367,30697896,30697895,37961748,29397331,29397332,30525055,30217296,30217297,26600971,19794779,15623812,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,20980456,28159959,21899346,21899347,254522632,36920667,46798483,39151562,37348757,28810231,21542530,21542531,28810233,25858761,25858762,30606511,255445124,37946438,29381542,22051357,15948113,254349022,267765952,33662601,33662602,33662580,29281621,21956555,255072080,23813551,27938382,36382719,30824541,23396693,18130722,12856064,8742293,5691268,5691264,8742306,12856085,12078152,12078156 Dl.O(d2) = 5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,4988757,7860248,7860245,11773277,14222654,9777622,9777623,14222655,19852181,26668177,34660597,38086317,38086509,37640002,37640001,31236647,23753464,17427473,12283401,8295478,5351562,5351563,8295481,12283408,17427485,23753484,23059887,16812221,16812220,23059883,24324605,24324604,25261953,25261954,27936821,28409523,28400915,21180350,15219672,15219673,16812575,15221180,10499526,10499527,15221183,21182336,28403134,28408437,36905809,33826739,26009013,19335130,13826705,9482834,6218138,6218139,9482835,13826707,19335134,26009018,30460840,23053013,23053012,30460839,39050457,39050158,30460533,30460534,35161784,35161783,39385989,30783944,23359005,255980317,257201910,17090379,12002855,8056755,5147914,5147915,8056761,12002864,17090400,23359031,30783992,39386053,49313696,60715408,60715456,49313524,39385886,39385885,49313465,257607897,256711430,39490965,39490966,49420694,49420328,49420327,39490857,39490856,39491044,49420795,49420797,60715418,73463341,73568169,60821063,60821056,49420793,49420697,49313669,39386024,39386023,49313538,39385906,30783880,23358965,23358964,30783879,268665621,39490896,39490897,49420616,49420615,49420735,49313563,49313564,49420740,49420739,39491048,30884710,30884581,23452786,17175685,17175683,255802897,15103283,10417110,10417109,15103290,12076444,12076445,17175586,23452601,29822795,29822794,38395158,257534311,49990494,39974465,39974464,49990493,257917440,51288556,41108741,32298298,32298299,30432346,30432347,32298730,257140497,49990495,61467883,51288851,41109176,32298822,256588595,39269067,32298175,256588535,51288468,257931514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047902, s2 = 8208863, dlinesl.size( ) = 2 s1 = 14047902, s2 = 8208863, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14047902, Dl.E( ) = 6, 1.38e-05 seconds used appending s1 = 14118855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9762061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6870090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6870090, s2 = 15054281, int(edited[s2]) = 0 s1 = 6870090, s2 = 15054281, d1 = 11, d2 = 2 Dl.O(d1) = 259459394,111716094,256479334,14972845,10305140,6776969,4247935,4247932,6776979,10305152,14972867,18820610,18820609,25412219,21719458,15675456,15158731,15158732,15702713,15702712,11797785,7878990,7878993,5999888,5999890,9167010,9167008,13408211,18820790,21733755,15685489,10858688,10858687,15685483,13408736,9167337,6000052,3752325,2247036,1303395,1303394,2247030,3752309,6000015,9167261,13408624,13408328,9167079,9167077,13408317,13408425,9167134,9167133,7180527,4523403,4523402,7180509,7180511,10860789,15688671,21736153,15687134,10859793,7184041,4525913,4525912,7184034,10865677,15695940,21748197,29025443,21735500,21735502,29012550,21725281,21725278,21736192 Dl.O(d2) = 29955243,22591203,16408623,11424992,7594614,7594617,11425000,16408636,22591224,23123398,16863540,16863541,23123404,30541990,29955930,22591711,22467157,22467156,29833789,25742302,19108568,13643305,13643304,13848900,13848899,19361631,26040019,26040118,26040120,33861930,26040142,26040141,21171673,15861044,10993389,10993388,15861039,17314786,12190241,10359338,10359340,15031517,20874979,14972974,10305217,10305219,14972964,20874967,254493016,57714395,70408548,83934802,97793868,256841406,87238417,87238418,101238775,115000634,101088119,87091476,85420000,71832315,71832313,85419999,99362562,87091478,73473739,60725639,49323487,39395394,39395393,49323486,60725638,60726308,49324129,49324128,40211093,40211092,50232051,48339858,38436216,31525095,24023145,255117560,12497768,17673314,24023144,31525093,40211096,50232055,58671909,71406128,74314958,61538354,61538355,74314952,74314951,79264638,79264639,72537143,59801906,59738914,48355327,48355326,255917006,59738911,48355324,48355325,59738912,59738915,48355328,38453350,255097578,37516360,29210779,21896770,21896769,29210746,29210747,37772596,47693879,258096243,47693912,37772626,29210784,21896774,15818315,10962268,10962269,10962257,10962258,10962279,15818330,21896800,29210815,29210714,29210713,37772566,37772600,37772601,37772651,29210811,21896797,15818328,15818327,255870101,21896677,15818260,10962240,7256210,4576365,4576364,7256207,10962238,15818254,15818283,21896708,29210703,21896704,15818280,15818277,21896698,22346905,16197113,11259243,11259244,16197116,22346911,29701094,38267271,38267163,29701007,22346860,16197091,16197092,22346864,29701009,29210625,21896640,255870083,37772471,37772500,37772501,37772608,31859085,29700986,22346842,22346843,29700988,38267142,48176775,59563437,48176813,48176812,59563469,50984988,50984987,59553351,59553350,72287556,63025102,62607472,62607473,72297883,68132890,62607502,268902004,24504745,18076182,12815008,12815007,18076179,24504739,257709115,75545570,258329522,95617951,81583720,256071434,20310881,14576002,10029923,6591741,4129638,4129635,6591738,10029916,14575988,15440633,267962996,7014453,4410309,4410310,7014457,10627335,10980608,10678417,10678419,15445182,15845050,11276494,8970495,5856106,3655528,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,4594363,4594367,3521132,3521128,5661525,8697981,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6870090, s2 = 15054281, dlinesl.size( ) = 2 s1 = 6870090, s2 = 15054281, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6870090, Dl.E( ) = 14, 1.5e-05 seconds used appending s1 = 11056774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1481423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1701207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8008036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2026874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6421273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8173524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9347833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9347833, s2 = 13384990, int(edited[s2]) = 0 s1 = 9347833, s2 = 13384990, d1 = 23, d2 = 21 Dl.O(d1) = 14117707,14117708,19690044,26427545,34305236,34305237,43406562,43406563,53933397,66003797,53933395,53933396,66003798,79371912,93508748,107946272,122372883,136357221,149623279,161920735,161920736,263783931,205286114,205286115,210479561,214722828,273768374,263299052,195094308,187011960,177733310,167236768,260207294,129725728,115826499,101780215,87807797,74204523,61425948,49948358,39931151,33709343,25902985,25902986,33709344,42738919,53188178,65173171,257901002,100555640,86593930,86593929,100555636,114587740,118124056,272231837,256627638,60260432,48867399,48867398,60260430,72996136,76062998,89856673,89856727,100555643,100555644,103974469,89856670,76062996,63068200,51380068,41189899,32371565,24753158,18278378,12973054,12973055,8830509,5754057,3583104,2135314,2135315,3583106,5754059,8830513,12973063,18278387,24753129,18278365,12973051,12973044,8830495,5754048,5754047,8830494,12973040,12973015,8830508,8830507,12973031,18278360,268469657,18278320,18278310,12973024,8830479,8830478,12973022,18278353,24753119,18278339,18278340,24753120,32371512,32371528,24753123,18278342,18278341,24753100,24753099,32371508,41189844,51380021,51379963,41189798,32371469,32371470,41189799,41189836,32371502,32371503,32371523,32371581,32371458,256593587,51379941,41189820,32371485,32371472,24753064,18278299,12972980,12972979,18278297,24753060,32371464,41189790,51379956,51379988,41189814,41189813,51379964,51379943,41189780,41189781 Dl.O(d2) = 38255955,38255948,29690677,22338146,255088461,11254325,16190451,255904743,38255954,48165280,59551891,60561681,49161881,39235212,39235211,38255969,29690689,22338153,22338154,29690690,24083201,24083202,31588155,40274326,50295372,61775026,59551916,48165302,38255967,29690687,29690686,38255965,48165298,59551915,72285999,77796924,64614332,64614331,64614326,52714033,52714034,64614327,59461999,48071398,48071399,59462001,64614335,52714041,42326840,42326839,52714039,48071406,48071405,48071389,48071390,38158786,29592458,22243829,16107139,11188088,7423513,254527150,2826619,4691087,7423520,11188101,16107168,21953351,15862367,10994407,10994406,15862359,21953341,29277318,37844286,47766935,38064068,29501092,29501093,29592518,22243874,22243875,29592522,25033588,25033587,32720248,41626288,39217643,36897529,36897527,39217607,30620489,23198889,16929946,16929942,16929943,23198881,30620474,28403232,28403233,36900460,37844270,37844269,33606959,25808987,25808986,33606956,42631915,51929074,256842843,36903348,32720332,25033692,25033694,32720336,28399991,28399990,28403308,34013840,43071672,43071670,34013835,28403276,26172028,26172027,30463423,25294844,18720630,18720629,25294843,28403289,30462635,23054551,16808281,16808282,23054553,19471093,13935649,10498287,6922642,6922640,10498284,6924409,6924411,10501188,6924768,6924767,10501180,10498161,10496888,6922610,4349008,4349010,6922615,10498253,15219337,21179901,25033621,18500538,13143973,8958423,5847358,3649082,3649083,5847362,8958432,13143994,18500567,13935621,9565957,6277546,6277547,9565961,6922985,6922986,10498816,15220147,21180937,21179068,21179067,28399476,28400340,28401414,21180773,15220038,10498754,6922948,6922949,255020349,18500412,13143896,10501931,10501930,15224843,21175742,15216118,13143931,8958394,8958393,13143925,18500387,18500388,25033417,18500631,13144028,8958449,5847374,3649088,2181450,1264322,1264320,2181445,3649079,5847350,8958404,13143950,18500500,25033567,21180929,15220140,15220055,15220058,21180812,18500551,13143981,13143978,13143979,18500544,25033632,28406827,28406828,33557787,32720153,28207020,28207021,28401454,28401455,36894900,36894899,255562974,37459458,32720082,32720083,41626164,46776527,46776528,257064554,36898693,42574607,46776521,51928928,46776710,46776711,58144307,46783583,46783584,58151138,58144212,47230245,47230063,37321185,28785017,28785016,37321183,46829291,46829292,38067932,38067933,47980096,48690061,58195199,58195197,70907846,84464093,98373258,86418133,72823294,72823295,85978380,72383217,72383218,72383219,269356964,59648378,48261126,38350222,38350221,48261121,59648371,70857659,58143387,58143388,58623032,47230091,37321220,37321221,47230094,58623037,71359967,60086048,48690012,48690011,50426596,60111231,60086120,60086121,50426570,50426569,61916715,74710215,72951987,60212906,60211682,50081782,50081783,53248801,65238409,65238410,74339751,61562229,61562231,58623065,47230118,47230116,58623024,47230083,37321211,28785037,28785036,37321206,47230076,48261163,59648385,52307215,48261174,38350257,29778082,29778083,38350246,38350245,48261154,48816831,38895404,38895405,48816833,60212911,67663056,55322923,55322924,67663060,58836832,58836831,61916741,60840024,49438320,49438321,60840027,62670340,51042106,51042103,50081791,50081790,61562241,61916739,53684103,43173717,34090256,256697629,48815833,58372798,51100279,40958409,40060129,40060127,40060123,40060124,50081721,50081639,50081638,55322922,52925779,51100275,42733801,33704200,25897950,25897951,254232194,47500431,50081453,40059899,31377350,31377353,23880861,23880860,31377451,31377438,23880850,17535071,17535072,23880853,23880835,23880834,31377412,40059990,50081553,47769494,37846748,29279380,21954933,15863475,15863474,21954930,29279371,256913073,256147626,31377532,31377531,40060160,255277062,33126491,25390116,22685217,16486088,16486087,22685214,30062646,38636651,48551068,258726853,258102726,37846752,29279383,29279384,37846754,47769504,59168135,50081382,40059829,40059830,50081383,61561924,50081848,50081847,59943281,50081423,50081422,50081478,50081477,61561986,50081735,40060142,268302454,23880891,17535105,17535106,23880911,31377540,40060170,50081760,50006587,50006588,52771102,50081465,50081467,40060279,40059885,31377339,23880793,17535036,12367598,12367597,17535030,17535064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9347833, s2 = 13384990, dlinesl.size( ) = 12 s1 = 7985200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15323180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13411507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13411507, s2 = 6527626, int(edited[s2]) = 0 s1 = 13411507, s2 = 6527626, d1 = 47, d2 = 34 Dl.O(d1) = 34096930,26234381,26234380,29338559,28231002,28231003,36724781,32637479,24967453,24967452,32637473,41523702,43214235,41524116,32637850,32637849,41524112,256604956,63587960,76674583,257232832,63587624,63531093,51752553,51752552,51802013,41524080,32637819,24967663,18448559,18448556,18448590,13105286,13105283,18448577,24967698,32637885 Dl.O(d2) = 255597386,24029837,31531942,31531947,40217755,35189577,27100739,20201098,14495106,255335717,27100746,27100710,20201081,20201079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13411507, s2 = 6527626, dlinesl.size( ) = 2 s1 = 13411507, s2 = 6527626, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13411507, Dl.E( ) = 62, 2.31e-05 seconds used appending s1 = 9818341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10178705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10178705, s2 = 11238840, int(edited[s2]) = 0 s1 = 10178705, s2 = 11238840, d1 = 17, d2 = 8 Dl.O(d1) = 33218149,33218150,37049165,37049164,39096048,30500137,30500138,39096049,49024971,258043539,46927035,39096060,39096059,257005121,30500147,23086594,16833313,16833314,255960031,39096064,49024984,60428603,65041473,53058766,42611167,33587337,33587250,25791700,25791701,25791715,33587281,42611077,53058660,65041377,71572335,71572333,65041317,53058608,42611026,33587254,33587255,42611030,37049149,28549397,28549399,37049161,46927224,58292959,64407174,58292883,46927156,37049119,28549368,21324819,15352891,15352893,21324831,28549389,33218141,28549294,21324782,21324780,28549293,37048996,46926991,52534163,53058519,42610954,33587200,25791672,25791668,256669847,53058502,65041206 Dl.O(d2) = 256669863,25791754,19146726,13671502,9362212,6132407,6132406,9362207,13671494,19146709,25791726,21324791,15352868,15352869,21324793,28549323,37049033,46927039,58292737,58292691,58292690,46927022,46927023,58292722,60253832,58292795,46927085,37049067,256854907,48973141,48973140,60368837,73108143,84571898,78321112,65041298,53058584,53058585,60571153,73314010,86923805,78321353,65041574,65041575,269787086,42611233,42611232,53058838,58292947,58292948,53058570,53058569,46927193,37049137,37049138,42106865,42106863,33152646,25411694,18820274,13407890,13407889,15352896,15352895,21324834,28549399,37049161,46927224,58292959,64407174,58292883,46927156,37049119,28549368,28549369,28549377,28549379,25471498,18871204,18871205,256645483,257005119,30500144,256460695,257005121,30500145,256460697,39096051,39096050,49024974,58292682,58292683,53058639,42611055,256152773,19146700,19146702,25791713,33587277,42611072,53058653,53058589,53058588,42611166,42611165,38941620,30355426,22953642,22953641,30355424,38874544,30288809,22890809,22890808,30288808,255552521,12229556,12229557,17359605,23679917,17372245,16200359,11261554,7476053,7476052,11261551,12240768,8266285,8266287,5333539,3278478,1928390,1101778,1101779,1928393,3278483,5333548,8266321,11694553,7799720,4946127,2985202,1733133,1733132,2985211,4946141,3276745,3276746,5330865,4715082,4715081,4285622,2562206,2562203,4285613,4711084,4711085,7455954,11234888,12036483,8091902,8091903,7718133,4885088,4885089,7718139,8562803,11230739,11230740,8532377,5530629,3416405,3404093,2007586,2007588,3404097,4714714,4714713,7461084,8506381,5506827,3395548,2001518,1144051,1144052,2001519,3395550,254607317,6014160,6014161,8546287,267913321,1990380,3380442,5489734,3429937,3429936,3780607,3405014,3405013,5518333,3450522,3450525,4029981,6423702,5513334,3400422,3400423,3409936,3381846,1991436,1991433,2016411,1153501,1153502,1991950,1138292,1138290,1138324,638669,354656,194436,106271,58499,32940,254072687,106255,194401,354569,638513,1138067,1147271,643647,357240,357239,643645,647066,1153380,1993873,3385249,3443624,2038676,1168200,655650,655649,651989,651991,1161908,795499,450824,253964,253963,253906,140476,140478,253913,450732,795330,1397670,1149829,647398,359210,357573,195862,106898,58794,58792,106888,195846,357546,644198,267773295,2018085,3418068,3402003,2006025,1151604,646018,646019,1151498,1151563,1151564,2012503,1150968,647839,647841,1154731,1997860,1997861,3390515,3413503,3472527,254280587,1164907,653720,362472,198404,198406,253994,253995,253971,254095401,359080,196638,196637,359078,647138,1153497,2016408,3415840,5516576,8518349,12563216,17755083,21307735,21307733,28530193,21971377,21971378,17773547,17773548,20879910,14977901,10310343,10310344,14977903,20879914,28048133,36512271,31186715,31082732,31082731,39760678,36484275,28022474,20855528,14954480,10288333,10288332,14954478,254707429,6777919,6777918,10267557,14930792,11217320,10423539,10423538,15101008,20848740,28014458,36474982,46330450,57677239,70368981,83893566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10178705, s2 = 11238840, dlinesl.size( ) = 12 s1 = 7965254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8263776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 870428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 870428, s2 = 14158533, int(edited[s2]) = 0 s1 = 870428, s2 = 14158533, d1 = 18, d2 = 17 Dl.O(d1) = 257632332,42712893,33682993,33682994,33682989,33682988,42712888,44565731,42713269,42713268,53162907,65147247,257052670,52542291,52542292,64416804,60057570,48660826,48660827,59947091,48554995,38640175,38640174,48554994,59947062,48554950,48554951,48555003,42713265,38640191,30065547,22687266,16487446,11487501,11487499,16487441,22687258,30065533,25900389,25900388,33706635,42736140,53185347,48555007,256569676,257119700,72685745,59947085,48555036,38640228,268458256,59491777,48103692,38192343,29625667,22274331,22274332,29625669,33707736,33707735,38640199,257552475,38640104,255929923,16487422,11487485,254541789,4833855,4833856,7640554,11487490,16487427,22687238,30065503,38640142,38192380,29625699,22274349,16132125,16132124,256164765,19310907,16487461,11487511,7640569,4833864,2912783,1689716,1689715,2912781,4833860,7640564,11487481,11487489,268091563,22687233,30065495,30065505,38640092,38640090,48554925,38640147,38640146,48554970,257227262,33709468,34218317,26344663,26344662,29625702,29625701,38192384,34218577,29625725,22274365,16132136,11206482,7435774,7435775,11206484,16132138,22274369,29625731,255686898,53188795,53189727,42740394,256160171,19243487,19243486,25901807,22895644,21972898,21972899,29299934,30065522,31034652,39711954,48103736,268744188,25978993,22274341,22274340,29625686,25901381,19240678,19240677,256150262,19242157,25903032,28725545,25904317,19243371,13749226,254303858,254303856,9378266,9378265,6201980,3881939,3881940,6201984,9458878,13794185,19293608,19293715,13963007,13963006,19238598,13745065,9417378,9417377,9418680,6171214,3861489,3861487,6171204,3862011,2313564,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583 Dl.O(d2) = 1443003,1443000,2499976,1442580,1442575,2500001,1452262,1452260,2520066,4214996,6723217,10232738,14881634,20761999,27904781,36334454,46148251,57182942,53706018,43194305,43194307,53706020,64719880,52806092,42405980,33416006,33416007,42405984,44743435,35318616,27195893,20269982,14543224,14543223,20269976,27195879,35318599,36306531,257376165,68413079,69049881,56651478,56651477,46165060,36346458,27912776,27912777,36346461,45415340,45415339,56512031,45636892,45636893,56798930,69376701,68715625,68715623,57515057,257899044,256734056,27829713,36011719,27692732,20621288,20621287,27692730,36024137,45717312,56905722,65567922,258463079,93013343,96135883,96135884,96169869,96169868,96447664,110559656,115696261,101652747,87681335,74074110,74074109,69522744,69522745,82739992,69212125,56651627,256784289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 870428, s2 = 14158533, dlinesl.size( ) = 2 s1 = 870428, s2 = 14158533, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 870428, Dl.E( ) = 30, 1.91e-05 seconds used appending s1 = 6593867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8297482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1863625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13298839, s2 = 13415292, int(edited[s2]) = 0 s1 = 13298839, s2 = 13415292, d1 = 6, d2 = 4 Dl.O(d1) = 11955768,17042362,18162417,18162415,22936322,30337341,26965892,26965893,35046536,39318160,39318161,39318585,30720227,30720228,30720240,30720238,39318251,30719951,30719950,30719829,30719828,38250081,38250080,38592346,39318240,39318238,33270257,33270258,26965886,26965887,30719841,23302521,17042281,17042283,23302527,20324213,20324211,27258187,256239430,29685007,22333038,22333037,29685005,33602534,33602535,32551331,24901595,18398389,13068143,13068142,18398385,254987016,34982609,26902735,20020055,20020054,26902732,29685035,29685036,30221829,30221831,38592315,38592316,46333766,36478087,36478086,33270239,33270241,42249636,36478063,36478062,46333760,57680695,49351746,49245219,39318294,39318292,35046488,26965855,26965857,35046490,39422110,38250078,30720012,23302678,255975937,39318309,44421016,35046484,26965852,26965851,35046481,39313191,30715156,30715155,268972193,44421003,44421002,48159254,39487494,30881568,30881569,38592300,30715104,23298135,23298138,30715110,36478082,46333780,42867090,40447022,31751924,31751923 Dl.O(d2) = 52683199,52683200,52663785,42276479,33295270,33295269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13298839, s2 = 13415292, dlinesl.size( ) = 2 s1 = 13298839, s2 = 13415292, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13298839, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6528548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6528548, s2 = 4947844, int(edited[s2]) = 0 s1 = 6528548, s2 = 4947844, d1 = 25, d2 = 15 Dl.O(d1) = 255608046,33424934,32442824,24808294,24808293,32442822,37953013,33712078,25905624,20922357,20922358,26024720,19348481,19348477,26024663,26024662,26025199,33845298,42889194,53353900,50989735,50989737,53353900,50989735,50989737,53353900,50989735,40855071,40855072,50989738,62611739,52029153,256423186,256618527,52029156,63847757,76959219,85925781,77013686,63902167,52083057,48208967,38299257,38299256,38296144,29729310,29729308,22373114,16217928,16217927,18585157,18583365,13205933,9003448,5877856,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877781,3669658,3669660,5877787,9003805,13208280,18586680,25141674,31763955,25608933,24995798,18471543,268095464,32672141,33521707,26024694,26024696,32236590,37507057,28963680,25429063,18835308,13419860,13419861,18835312,25429067,21937163,16842054,11778076,11778079,13837853 Dl.O(d2) = 198583804,198583803,204931878,264013202,191091225,198583786,204931860,210193069,214495276,218032121,220998720,220998718,265495959,227650917,229330493,230819659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6528548, s2 = 4947844, dlinesl.size( ) = 24 s1 = 9809329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9809329, s2 = 467353, int(edited[s2]) = 0 s1 = 9809329, s2 = 467353, d1 = 75, d2 = 37 Dl.O(d1) = 101233799,92466628,88509409,257447786,74873442,65538211,53514006,53514004,65538209,78873495,78673029,65368307,257244231 Dl.O(d2) = 7965742,7965744,11908960,16994479,23257488,30673415,257018203,31269109,23783935,17453634,12303844,255171115,255442589,29338533,37907337,30617083,255522589,11847957,11847958,16928311,23196274,30617084,257014175,31269151,31269150,30673430,23257502,23196279,23196280,22007138,15906270,11027868,7302264,7302262,11027862,11847964,16928323,23196298,255522585,11847955,11847959,7918786,5034558,3048295,3048296,5034561,7918795,11847976,16928337,255968465,15906286,22007170,29338541,37907343,39098982,31269069,30617090,23196277,23196276,30617087,257014177,39213945,39213768,30617005,23196227,16928287,16928288,23196234,30617021,26419179,26419178,34295456,43395365,42892628,39214129,30617333,30617335,30192863,22802670,16585603,16585605,22802675,29338616,22007208,15906316,11027890,7302278,4606717,2772733,2772732,4606715,7302274,11027884,15906302,22007189,29338583,30072172,38647967,39825956,37907292,37907293,38500889,29937654,22575011,16392282,254516152,29937659,33837108,26017965,19342910,13833589,13833587,19342904,26017955,33837097,42880177,53344302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9809329, s2 = 467353, dlinesl.size( ) = 2 s1 = 9809329, s2 = 467353, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9809329, Dl.E( ) = 86, 3.81e-05 seconds used appending s1 = 8306575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11289008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14227104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14227104, s2 = 8432699, int(edited[s2]) = 0 s1 = 14227104, s2 = 8432699, d1 = 7, d2 = 6 Dl.O(d1) = 64205146,52354816,42015592,42015593,51646247 Dl.O(d2) = 65733969,79089536,93204636,107605061,121974917,135897004,135897005,135897006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14227104, s2 = 8432699, dlinesl.size( ) = 2 s1 = 14227104, s2 = 8432699, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14227104, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9683459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1060011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13522497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13522497, s2 = 14163187, int(edited[s2]) = 0 s1 = 13522497, s2 = 14163187, d1 = 0, d2 = 0 Dl.O(d1) = 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0,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14469330,14469324,19839225,14212729,14212731,16417041,19839161,19839159,23311799,19660146,14092258,14092110,14092109,14092142,16428520,11443736,11443735,9689771,9689772,14087502,19653873,26384654,19650134,19650135,15402480,15402481,21385886,28623335,37136055,30598545,30598546,30599153,30171550,22782992,16567318,16567319,17120875,15604269,10795310,10795311,15604271,21468108,21468109,22017653,22017654,26391676,19833096,16913896,16913892,17748119,21468182,26390769,19656439,19656440,26390771,30821331,28783967,21520311,21520310,21043146,21043145,17817400,12614861,8562933,7213599,4545031,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,256030979,21149627,15195865,10481397,10481396,15195862,21149622,28365870,23676688,23676689,18764185,13361703,13361702,255657079,31164730,39846718,46746492,38643843,30068537,30068539,36866862,31165033,23676744,17356658,17356659,23676747,31165038,39846951,46746482,40033633,31353673,23860144,256017279,23802451,23802452,31288709,39241172,39963484,39963483,49979994,61458147 Dl.O(d2) = 254362139,2915786,4838667,7647731,255108577,22705398,30087286,38664605,48580717,59972435,67812943,81280222,95338520,109592777,258785636,137505688,150535499,162654662,173676076,183461873,192016224,192016222,192016223,262741544,178120243,167660718,156054898,156054897,143518336,261313381,116349631,102254747,88256141,74625467,61833079,50349008,40322516,31633644,31633646,36651211,46518244,46438141,36573302,28308427,256297115,34974037,44351474,53266635,65256348,78546705,70743531,58029527,58029528,65256409,65256410,70743470,58029481,58029480,58029523,46657099,257412849,58133804,268913091,36887655,46765948,58133808,70848207,259281185,84295219,84295218,84295231,78546744,65256392,65256390,65256421,269361070,33781221,25970980,255506536,13802552,19304184,25970974,33781199,33781206,33781204,42813693,53266657,46657111,36772041,36772040,46657109,58029543,270281555,58029530,256833693,21072521,21072520,268605801,28390798,28390799,36772013,28276374,28276375,36772016,46657071,46657088,58029507,70743505,58029510,58029511,70743512,84295178,258022839,58029483,65256397,53266667,42813701,33781217,33781218,42813715,53266681,65256412,78546766,259430399,86562522,100524131,100124924,100124925,114158720,100124930,86158845,86158844,259401537,92594387,78546756,78546754,258022851,58029533,59825343,72560654,86158888,271345683,100124946,86158859,86158860,100124950,86562527,72963522,60224534,48828289,48828288,60224532,72963512,72963510,72963511,72963507,60224516,51581488,268722675,24870962,18373521,18373522,24870965,32513137,41360136,48439249,38531058,29965205,22600411,22600412,29965206,38531062,48439255,59825287,59825315,48439289,38531079,29965214,29965213,38531078,48439285,59825299,59825298,72560598,86158836,90141458,86158865,76323248,63299689,51581520,51581519,63299687,76323246,86158833,86158831,72560642,59825333,59825334,72560646,270851219,258356193,51581486,41360131,32513134,32513133,41360127,51581484,51581489,63299651,76323209,86158813,72560582,59825282,48439253,48439252,59825279,72560580,72560511,59825203,48439200,38531027,29965182,29965183,38531030,48439203,59825206,72560513,63299693,51581524,41360160,32513149,24870971,24870970,32513146,38531012,29965173,256420111,48439173,41492896,32613088,24948076,24948075,32613084,41492890,51763440,63541964,76323250,90141464,86158797,86158798,90681385,90681386,87868650,87868651,101840997,90479082,76621213,76621214,72560594,59825293,48439267,38531069,29965209,22600415,22600416,24870968,32513142,41360151,51581509,55449817,67792381,81260951,95320799,93446117,93446116,81260897,81260898,91537967,77608466,64439992,64439993,55449755,55449756,55449783,44600507,35219684,35219685,44600512,44600518,55449794,64440089,52564798,52564797,64440086,64439959,52564675,42204251,33242753,33242756,42204256,269505141,77608446,65256329,53266613,42813652,42813653,53266614,65256331,76323225,81260939,67792373,63299670,63299669,76323233,81260947,81260946,91537954,105760268,95320782,81260902,67792330,67792331,77608469,64440002,52564705,52564703,64439901,64439902,77608384,64439979,52564688,52564689,55449787,55449791,49978599,39961976,39961975,49978596,61456711,52564683,42204263,33242761,25492547,25492546,33242758,269081437,64439966,77608454,65256325,65256324,63299663,51581504,51581505,63299667,65256321,53266608,42813650,42813649,257831991,64440055,52564767,42204351,42204350,52564764,64440050,77608495,77558239,64440070,64440007,52564707,42204287,42204286,52564641,64439905,77608389,64439972,64439971,64439908,52564786,42204374,33242832,25492598,25492599,33242835,42204294,42204335,33242807,25492587,18888095,13460195,9204800,9204801,13460199,18888104,25492596,33242827,42204339,33242811,33242812,33198150,33198149,42157840,42157839,42157853,42157854,52516099,64390059,52516108,52516107,64390067,64439887,64440116,64440118,77608535,91537965,77608459,77558232,64390054,52564822,52564821,42204412,33242871,33242872,42204415,52564777,52564776,64390084,64390083,52564719,256647177,25492559,18888077,18888078,25492562,25492581,256131239,257202793,42204406,33242861,33242860,42204403,42157878,33198153,25451802,18853460,13432713,13432712,18853458,25451798,33198145,42157858,269504045,52564793,52564790,52564804,52564720,42204295,33242780,33242781,37572319,37572318,47478128,58860677,58860705,47478164,47478163,58860704,71584613,85152650,77608552,77608553,85516700,71929126,59189550,47789415,47789414,58860688,47478137,37572329,29025536,21735566,21735567,29025540,37572334,47478147,47478113,257473307,58860752,71584675,71584700,58860768,58860769,71584702,85152700,71584670,71584669,71584709,259333191,258707145,258707143,71584735,58860800,58860801,71584655,71584656,85152693,87614446,74010283,61229528,61229529,74010284,74010316,74010317,76736109,258183258,91735518,77807863,77807862,71584593,71584591,85152639,89323477,75565636,62626893,51004137,51004136,52725351,64625487,258534502,53824105,43298902,43298903,53824108,65891780,79254647,87614497,77807858,64625400,52725266,42338233,42338234,39731614,31053129,23569163,23569162,31053126,39731604,49750370,61229549,740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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13522497, s2 = 14163187, dlinesl.size( ) = 2 s1 = 13522497, s2 = 14163187, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13522497, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 14045226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14045226, s2 = 15075545, int(edited[s2]) = 0 s1 = 14045226, s2 = 15075545, d1 = 13, d2 = 6 Dl.O(d1) = 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Dl.O(d2) = 166433961,177020216,186381071,194540572,201529771,207412536,202218495,195343540,263211544,178065471,167601533,155990766,143450562,260076492,88156061,74541315,61757476,50277348,40255984,31568415,24062751,24062750,30764881,23341636,254385216,8066533,5160342,5160341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14045226, s2 = 15075545, dlinesl.size( ) = 2 s1 = 14045226, s2 = 15075545, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14045226, Dl.E( ) = 14, 2e-05 seconds used appending s1 = 16213951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16213951, s2 = 11137979, int(edited[s2]) = 0 s1 = 16213951, s2 = 11137979, d1 = 26, d2 = 30 Dl.O(d1) = 1197237,2082374,2081801,1196983,1196980,2081833,3502404,5635687,8662641,12746751,12768559,8678655,5646865,3510254,2086840,1199926,1199927,1227063,694250,694249,1227061,2126744,2126743,3568173,254629435,12932596,12932597,8797902,5730725,3568175,2126745,254289971,2126756,1227070,1227071,2126759,254430511,3568205,5730769,3568211,2126767,1227075,1227069,1227068,1227074,254289973,5730774,8797955,12932662,18232934,12932654,8797945,5730763,3568199,3568198,5730761,8797940,12932644,268277649,24703507,32317765,41131334,51314666,41131321,32317754,32317753,41131319,257674388,62993593,51314680,257091340,62993594,62993595,62993611,51314700,51314701,62993612,270465699,89755078,103858821,260209127,118003563,131830940,131830939,131830947,145089904,145089894,145089895,133394843,119535404,105309174,91095611,77184815,64047793,64047792,77184813,91095606,91095605,105309164,119535396,119535397,119779881,119779880,119779875,119779876,105546624,91328888,91328887,91328873,77410314,64260581,64260582,77410317,91328878,105546611,91328872,77410313,64260579,64260580,77410308,64260571,52405168,42061379,33112348,25377087,25377088,33112350,41102832,41102833,51281801,41879910,41879909,51281792,51281791,42061377,41879911,32946024,25227221,25227222,256623101,52209111,257784830,42801740,42801739,53254376,65243998,78534446,92582256,92582257,106901406,103257489,89167584,89167583,79265627,65903465,53836570,53836569,65903464,270345054,257194839,42098576,42098581,42098582,52451520,42098585,255507386,25404376,33144419,42098586,52451522,64319155,77483089,268653070,49914425,39894420,39894421,49914426,49432952,39501809,30894468,23461520,17182715,12081750,8124481,5205039,3175640,1859021,1859022,3175641,5205038,8124479,12081747,17182708,23461506,30894442,39501777,49432939,60834815,73584508,87206880,81291688,67825436,67825435,67825434,67825433,71519353,58789548,58789547,71519351,85091764,75914734,62935996,62935995,62508175,50907768,50907767,62508174,75427171,70417211,57722217,57722219,62508166,62508167,57722208,50909456,50909457,256855994,50909458,50909460,62509805,75428517,258044642,76976668,63865232,52045776,52045774,63865229,55696827,44789554,35365194,27241834,20311046,254287890,6591807,4952528,254141828,7872780,7872779 Dl.O(d2) = 47144911,40924473,32147084,32147083,40924448,40924449,39134353,39134354,39134938,49065091,49064485,39134350,39134349,49064482,40924528,37495186,28952618,28952617,37495183,47403001,51065263,40924631,38657477,30080383,30080382,38657473,48573268,58570505,47181526,47181525,37495200,28952626,21672439,21672438,28952622,37495194,32147098,24564198,18124700,12851959,12851957,18124695,24564186,32147071,32147290,32147289,40924690,51065332,51065497,58533245,47144912,40924618,32147235,32147234,33121998,25386004,25386003,33121994,42071119,49064480,49064479,60467994,58790540,47402995,37495177,37495178,32147431,32147430,40924853,257451760,47403027,58790560,258326726,47181534,37275389,37275388,40924503,40924501,51065148,47403007,40924607,32147221,32147101,32147093,24564195,24564194,32147087,32147110,40924453,32147293,24564316,24564317,32147298,40924694,32147302,24564362,24564361,32147244,24564283,24564282,32147242,32147202,32147201,40924598,51065246,60467992,60467991,51065409,40924764,40924763,47402989,47402990,40924656,40924655,40924588,32147195,32147197,40924592,40924513,32147125,32147127,32147117,32147118,40924509,51065152,40924834,40924613,32147229,24564279,18124758,18124757,24564277,24564203,18124705,18124706,24564207,24564285,18124791,12852001,8739654,8739655,12852003,18124792,18124816,18124815,24564366,32147237,32147238,32147207,24564264,24564263,32147206,40924595,51065242,62694467,62694491,51065376,40924732,40924731,51065226,51065227,40924582,40924583,51065236,51065166,40924519,32147131,24564221,18124712,18124711,24564214,268706069,32147414,32147413,40924564,32147169,24564246,18124737,18124732,18124733,18124745,18124725,18124727,18124783,12852012,8739657,5689678,3539467,3539469,5689680,8739663,12852024,18124822,24564372,32147213,24564268,18124752,18124753,24564270,32147050,32147049,40924432,51065104,51065372,40924728,40924729,40924441,40924443,51065116,51065502,51065503,62694394,51065162,40924516,32147181,24564254,24564253,24564258,32147192,24564383,18124832,12852034,8739669,8739668,12852029,12851979,8739643,5689665,5689664,8739640,12851974,12851999,18124786,18124801,18124800,18124810,12852017,12852018,18124813,24564357,32147382,40924806,51065098,40924425,32147047,24564168,18124677,18124678,24564170,32147053,40924435,51065109,51065357,40924718,32147313,32147315,40924721,51065358,60468439,52135294,52135296,51065463,40924813,32147395,24564368,24564367,32147392,32147408,32147407,40924828,51065474,40924820,40924548,32147151,24564234,18124719,12851967,12851968,18124721,18124778,24564308,32147280,40924684,32147364,32147363,24564353,24564352,32147373,40924800,51065449,62694359,51065094,40924422,32147043,32147039,32147041,40924419,51065089,62694354,75638660,62694559,51065352,40924714,40924715,39134842,39134841,49065019,60468444,73215203,75638751,62694509,62694510,62694447,62694446,60468437,49065011,39134838,30536051,30536050,39134835,49065004,60468430,59722557,59722556,72458428,75638690,62694427,62694425,75638687,62694641,62694642,60468400,49064980,39134817,30536041,23117298,23117297,30536036,39134813,30536060,23117311,16857849,11790537,11790538,16857853,23117319,30536070,39134860,49064995,60468412,65400959,75638778,62694576,51065366,40924725,40924724,51065362,61720590,50241796,50241800,61720593,74501955,88113437,81583976,68094166,55696694,55696695,68094171,62115664,62115662,74919478,68094200,68094201,55696783,44789515,35365161,35365162,44789519,55696787,48337875,38433817,38433819,48337880,59722578,49064971,49064970,49064974,60468390,55696755,44789479,38433812,29874228,29874227,23117302,23117303,30536045,39134823,42930751,53397321,62115957,62115956,62694571,62694570,70684333,57966205,49286074,39359079,39359080,49286077,60687384,68094180,55696702,44789439,44789440,55696707,61720510,61720509,68094206,55696728,55696729,44789524,35365165,27241817,27241818,35365134,27241801,27241802,35365137,44789476,47403043,55696772,55696715,44789444,44789443,55696712,55696763,44789489,44789491,38433809,38433807,40889141,32115425,32115426,40889146,49064990,49064989,60468404,73215178,86828231,89399927,81584037,68094233,62694440,62694442,60687380,60687378,73435620,68094227,55696760,44789485,44789484,55696698,68094175,74501866,74501865,68094248,55696797,44789530,35365174,27241822,20311030,14576127,10030010,254476247,4129660,4129661,6591790,10030003,14576112,20311008,16836783,11773982,7860730,7860729,11773981,11773978,11773979,7860751,4989088,3013444,1750388,995341,560369,560371,995345,1750394,3013454,4989104,7860735,7860741,7860742,11773996,255960389,39102392,39102398,39102397,49031672,59997042,256674564,30114194,22733563,16527786,11519105,11519106,16527788,22733568,30114198,37639211,29659104,29659103,38225277,29665757,22313899,16168561,11236215,7457238,7457239,11236217,16168564,21252872,24363478,17968044,17967946,12733213,8652463,8652465,12733221,17967955,21252851,18883387,16207421,16207422,22360093,25483349,18880786,18880785,17968362,17968360,20794311,16160552,16160554,13211393,9005667,5878769,3670159,3670161,5878778,9005682,9005456,5878653,3670112,3670114,5878675,7479003,11266245,16206949,13211128,13211131,13211358,10252035,10252033,13453808,13455267,9201470,9201471,9200797,9200798,13454139,12083787,8125867,5205895,5205897,8125874,11265892,16206415,16808846,16808844,20120453,27012628,35099349,39827311,31144965,23657872,17340918,17340916,23657876,256319286,17263915,12143530,8173068,8173069,12143532,17263920,23575361,254285256,9774640,6426982,4032210,4032211,6426984,9774646,14217948,19845529,21352653,21352654,22099590,17263943,12143542,12143541,17263939,23575386,19305371,13803452,9465754,9465753,13803450,19305364,23575390,23575342,17263910,17263912,23575345,31058905,25972794,25972795,33783137,33782896,25972567,24337762,17947737,17947736,13803460,13803459,19305381,25972422,33782789,255187486,36949788,42815395,33782801,33782800,255599422,40561266,33782987,25972664,22099633,15990257,11100467,255046516,25298597,25298596,29938894,38502574,33025258,25298992,25298834,18724208,268022459,5959372,5959375,5959388,5959389,9107579,13329321,18724257,25298884,18724477,13329498,13329499,18724481,18724247,18724236,13329301,9107562,9107561,13329298,18724231,13329483,13329482,18724017,18724016,18724467,13329488,9107708,5959446,3726890,2231391,1294062,1294061,2231387,3726882,5959433,9107677,13329463,18724029,13329148,9107458,5959318,5959319,9107462,9107515,13329201,13329203,18724106,268141089,13329376,13329325,9107583,5959391,5959392,9107588,13329332,18724267,16031685,13329252,9107573,5959385,3726863,2231379,2231378,3726859,5959380,9107566,254914565,9107603,9107600,13329356,18724296,19268688,19268687,24579927,18137076,18137075,13772341,13772340,19268132,25930208,25930814,19268796,13772910,9442237,6189792,6189791,9442234,13772906,19268793,25930759,19269166,13773270,9442553,6190037,3873952,3873951,6190035,9442020,7276766,4589079,4589080,7276768,10992390,15859532,18724117,13329214,9107503,9107504,13329216,18724120,25298756,19268485,19268486,19268762,13772954,9442366,6189888,3873844,2319749,2319750,3873847,3873747,2319683,1344739,1344738,2319638,3873683,6189641,3874034,2319873,2319874,3874037,6190164,6189851,3873820,2319734,1344774,1344776,2319741,2319838,3873978,6189631,9442029,6189738,3873877,2319776,1344798,1344799,1344779,254208811,3873574,2319575,1344664,1344665,2319578,3873581,6189469,9441846,6189782,3873769,3873770,6189775,3873765,3873764,254306151,1344687,767418,436265,246316,246315,436260,436240,246307,136079,136080,246310,436251,767397,1344652,2319549,3873525,3874065,2319890,2319889,3874062,3873576,3873575,6189463,6189658,6189657,9442056,9442646,6190108,6190109,9441819,6189442,6189443,6189862,6190181,6190180,6189524,3873616,3873614,6189520,6189252,6189251,9441563,13772110,19267843,13772397,13772399,13773426,19269384,19268986,19267947,13772204,9441659,9441661,13772209,19267957,25930062,19268155,13772358,13772359,19268158,25930243,19268165,19268164,19268049,19268050,19268786,19268785,25930258,25930113,19268021,19268020,19268044,13772276,9998800,9998802,14531211,14531417,20250918,22364333,16210756,11268715,11268716,16210760,22364341,29720422,22364305,22364306,27165245,20251109,20251111,25930045,29720470,22364399,16210806,16210805,16210804,255907163,22364288,16210709,11268683,11268682,16210706,16210729,22364311,22364367,22364318,20251163,14531581,14531582,20251167,16210790,16210789,22364378,29720463,27165237,20250792,20250791,27165251,20250706,20250707,20250911,20250686,14531196,14531195,14531225,14531226,20250718,25930275,19268188,19268185,25930266,255133678,16877264,267987806,11807263,7886433,5008635,3028489,1762174,1762172,3028481,5008622,7886406,9998954,14531427,20250929,15086495,13438287,9999067,9998845,6571339,4116526,4116525,5008492,3028421,3028423,5008501,6571482,4116613,4116612,6571479,9999086,9999219,6571572,6571574,9999223,11806921,12752469,17991868,14531760,9999198,9999199,14531764,16876839,14531389,11807197,11807198,14531398,9998933,6571397,4116560,2462259,1423266,1423265,2462255,4116553,5008625,7886413,6571531,6571528,9999154,11807322,7886480,7886481,6859652,6859653,10405947,13438250,13438246,13438245,9999010,6571429,4116592,2462301,2462300,4116620,2462294,2462293,4116598,6013158,6013159,4116674,4116675,6571582,9999234,9187525,6013136,6013137,9187532,13438217,11807208,7886388,5008610,5008609,7886383,9998968,6571415,6115693,3826442,2292453,2292451,2462248,4116541,6571361,6571366,4116546,4116547,6571371,9998889,14531333,14531673,18861307,16196973,11259125,7474430,6013148,6013147,6571565,9999212,14531782,15222506,21184108,28405145,255578772,40215666,31529676,24027432,17676829,12500483,8467726,5473476,5473475,254863235,12503045,17679774,255578780,17678545,17678544,12502044,8468875,5474209,3368598,1982204,1982203,3368594,5474201,8468866,8469071,5474314,5474315,8469073,12502322,17678807,12503571,8470076,8470078,12503579,17680309,24030932,31533077,40215412,40215411,40216998,40216996,40720899,31974053,255603721,18008981,24420662,31974060,37336611,37336612,256537064,71375881,258276300,258898244,28798725,28798724,256876143,58639429,58639430,47246245,47246246,47246217,47246219,47246255,37336440,37336439,47246244,40215679,31529682,31529681,40215677,41732992,52047729,63867066,63867078,52047749,50240403,40220281,31534288,31534289,40220284,50240405,47246377,37336584,28798829,21532845,21532846,28798832,28798614,28798613,37336335,47246159,58639399,58639424,52047737,41733002,32812518,32812517,37336525,32812538,32812539,41732982,32812504,32812503,32812510,32812509,32812525,32812532,28798598,24030355,24030357,28798655,37336370,47246184,37336398,28798679,21532747,21532746,256334833,37336639,37336349,37336350,47246174,37336636,28798882,21532890,21532889,28798881,28798957,21532962,15518793,255842951,37336691,256128772,59908677,59908678,65976760,65976761,79341193,71353666,58616414,47223126,47223125,44598687,35217900,35217901,44598689,49988843,39972927,39972928,254512962,7221923,4550261,2735203,1584857,901000,508229,284983,157490,86551,86550,157487,284978,508223,900973,1584806,2735094,4550026,7221462,10918939,10919372,15766463,10919491,7221755,4550171,2735161,2735157,4550161,7221732,254230738,15776271,21846729,29155417,255430836,47638284,47638283,46392038,36531555,28065237,20894472,14990551,10321708,10321707,14509889,9984344,254982391,20220616,22114187,256031186,47924772,38009951,38009950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16213951, s2 = 11137979, dlinesl.size( ) = 2 s1 = 16213951, s2 = 11137979, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16213951, Dl.E( ) = 32, 2.6e-05 seconds used appending s1 = 8113554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14056312, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6681831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6681831, s2 = 8514091, int(edited[s2]) = 0 s1 = 6681831, s2 = 8514091, d1 = 150, d2 = 100 Dl.O(d1) = 257272387,256713427,255310629,9724327,255310627,26466084,256713229,258487533,257283219,26573733,26573734,34560087,272494484 Dl.O(d2) = 51287338,62962812,258964849,103828100,259600037,76088186,63087589,51395607,51395608,63087594,76088194,89889172,104014038,104014036,108611102,108611103,118293301,104139545,90014872,90014871,104139541,90014873,83296556,83296557,97225536,111235620,125121824,138518586,151267842,162054588,259852056,122835331,122835329,136680594,260455740,260812553,259600041,259591948,32382649,24762466,24762465,32382653,41202833,258346685,89889181,258339266,51395769,41202945,268470015 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7946197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7946197, s2 = 3005250, int(edited[s2]) = 0 s1 = 7946197, s2 = 3005250, d1 = 59, d2 = 0 Dl.O(d1) = 22294676,29645565,22293607,16148854,11219194,7444389,7070589,7070590,10702250,15476194,11219558,7444361,7444362,11219351,7444235,7444233,11219347,16149086,22293915,256163740,6930588,6930589,10509988,15235324,15235778,15235780,17959536,12726774,12726775,17959543,24352595,31877540,28423344,28423343,33769892,26616525,19807610,19807611,19296920,19296921,25962650,24149888,24149889,28423942,31780174,24267633,17888814,12671052,8604938,8604937,12671047,17888807,24267625,25961912,25961910,33769898,25960975,25960974,28422910,21199978,19295806,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,15235717,10510221,10510222,15235722,21200837,25962235,33771560,26616574,19807645,14188086,9753356,9753355,14188079,19807628,26616551,34604127,36920994,33769877,33769878,40474786,36920892,28422832,21199934,21199933,28422830,35366764,35366766,44791096,40473282,31778678,31778677,28424054,28424053,35357122,28493039,28493040,36990203,40355292,40355291,40355296,268690464,46868802,58167867,58167868,50625484,50625483,62127173,62001489,50510058,40474753,31780115,31780116,35366798,27243326,20312357,14577181,14577180,20312338,27243284,27243272,27243271,35366708,35366850,35366849,35366874,36920880,28422824,21199929,15235155,15235153,21199925,27243302,20312344,20312343,27243298,35366763,44791094,46800742,46800741,46800642,36922473,28423978,21200737,21200736,28423972,36922466,38053583,47966831,58167879,46800449,46800447,51100783,40958898,32179999,32180000,40958902,44791055,44791056,44791148,35366823,27243340,20312365,14577189,10030768,6592358,6592360,10030774,14577203,20312388,27243377,35366846,35366845,44791174,55698470,51132537,46798665,36920860,28422805,28422806,36920867,36921537,44791077,35366775,35366776,44791105,55698429,47966866,38053612,29489736,22151120,16031578,16031577,22151118,29489728,38053605,47966852,59358056,58167874,58167873,62731804,51100772,40958893,35366720,27243277,27243278,35366726,44791058,44791142,35366816,35366817,29489713,29489714,27243346,27243345,35366835,44791162,55698459,52302538,52302539,44791124,42992388,42992389,52555218,269062326,46798660,51022857,256681198,24535555,24535548,24535549,32112483,40885798,51022845,60116001,48721264,42196292,33236006,25486960,18883716,13456947,13456946,18883715,19436796,13908030,9545177,9545178,13908032,19436801,23827924,18235988,18235987,13293227,13293224,17793529,17793530,17793554,16841926 Dl.O(d2) = 91174341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7946197, s2 = 3005250, dlinesl.size( ) = 28 s1 = 6864331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153928, s2 = 9359467, int(edited[s2]) = 0 s1 = 11153928, s2 = 9359467, d1 = 0, d2 = 0 Dl.O(d1) = 14223897 Dl.O(d2) = 14223897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153928, s2 = 9359467, dlinesl.size( ) = 2 s1 = 11153928, s2 = 9359467, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11153928, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1371334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13416059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10138363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11190982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190982, s2 = 13561580, int(edited[s2]) = 0 s1 = 11190982, s2 = 13561580, d1 = 12, d2 = 28 Dl.O(d1) = 44426950,35052364,26970967 Dl.O(d2) = 49778327,61257019,49778349,49778348,61257053,258862239,99763342,87640586,74037025,74037026,81058179,67590785,55249299,55249298,67590783,81058177,81058191,84291223,84439467,87640566,87640567,101607454,115647821,129532871,115647817,109369348,95115464,95115465,99763337,99763335,87640580,74037016,74037015,87640577,87640562,74037006,61257049,61257048,74037005,87640559,85809405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190982, s2 = 13561580, dlinesl.size( ) = 2 s1 = 11190982, s2 = 13561580, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11190982, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 7565169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7565169, s2 = 11357892, int(edited[s2]) = 0 s1 = 7565169, s2 = 11357892, d1 = 52, d2 = 32 Dl.O(d1) = 268074373,15410760,15410761,10980206,7267786,4583471,2757644,1598668,1598667,2757659,4583510,7268025,9706473,10627335,10980608,10678417,10678419,15445182,15845050,11276494,8970495,5856106,3655528,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082697,6515857,6516256,5672199,5672200,8713732,12713526,12713527,14416579,14416580,18907909,18907910,17941764,12713523,8638262,8638261,12713521,12858481,12858482,15873244,14170842,255254922,26588958,26997178,24469817,24430919,21968791,21968792,25836980,19201589,13713669,13713668,19201587,14162750,14162749,13352671,13352672,11004949,7285085,4594190,4594192,7285016,7285149,11005030,9124001,5970416,3733695,2235470,2235472,3733703,5970435,9123553,9123551,13004964,8853923,5979253,5970468,3733723,3733724,5970445,5970446,9124059,6516370,4083020,4083017,6516363,9915655,11003004,7283702,4593340,2763428,1601909,1601907,2763411,4593291,7283633,10636569,10636572,11005272,15876366,14205306,14205305,10627107,7014281,7014282,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002610,11001557,7282706,7282705,11001550,13351856,13351855,11002450,7283300,4593089,4593088,4592467,4592469,5971142,3734132,2235699,2235700,3734140,4592865,7282929,6153908,6153906,9393473,9133842,9133840,8698023,5661558,5661556,8698015,6153333,6153332,9392658,7283255,7283253,6154281,6154280,4593451,4593450,4544051,3738425,2238199,1297941,740776,421039,237618,237619,421045,740786,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,434913,245609,245607,434901,764619,1338637,2307039,3850620,5827825,5827821,5977988,3738335,3738332,5977977,9135156,254690898,12858499 Dl.O(d2) = 116181073,102123842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7565169, s2 = 11357892, dlinesl.size( ) = 26 s1 = 14040877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14068105, s2 = 14069817, int(edited[s2]) = 0 s1 = 14068105, s2 = 14069817, d1 = 13, d2 = 9 Dl.O(d1) = 60587691,72999781,255746258,38952174,38952175,44484804,44484803,55326850,55326851,67666682,81133335,95191484,95192541,81134782,67668348,67668347,67669597,55329893,55329895,67666772,55326937,44480925,44480926,55326942,55327529,67667378,81134018,81133434,67666780,67666779,81133430,95191552,95193470,103905048,89804037,76027243,67666709,67666707,81133359,95191500,109447384,109447863,95192322,81134480,67669620,55329914,44483848,35106959,27021218,20129715,14437240,14437238,20129707,27021210,35104436,35104437,44480855,55326858,67666689,67667688,55327871,55327873,55328575,55328576,67668354,81134789,81134030,67667391,55327541,44481437,35104903,27019554,27019553,35104897,44481428,44482173,44482172,55328216,67667993,67669580,67669581,63044511,51363437,51363438,63044503,51363428,51363427,55327822,67667655,81134209,81134199,67667646,55327811,55327810,55329907,44483842,44483821,35106938,27021200,27021202,27019226,20128240,14436247,14436245,20128236,27019215,268549652,35105144,44481763,55326862,55327850,55327882,44481780,35105153,35105152,35106903,35104494,35104493,27019560,27019561,35104914,35105498,27019997,27019996,35105493,44482179,41177259,32361386,24744932,18271670,18271669,24744925,32361382,41177257,51363432,63044506,76027236,67667652,55327815,44481704,35105091,27019689,27019690,27020725,27020724,35106399,44480886,35104462,27019222,27019221,35104458,44480857,41177241,32361367,32361366,41177236,51363413,63044486,67669631,55329931,44483860,44481771,44481772,44481795,35105158,35105157,44481792,44482186,35105503,256221136,20128520,20128519,27019606,35104963,35105123,35105124,35106909,35106908,44483784,44483212,44483213,44482118,44482119,55328176,67667701,81134250,95192176,95193452,91429379,77498166,77498167,81135877,95193415,109448640,95193477,81135969,67669648,55329943,55329942,67667553,67667552,63044549,51363488,51363486,63044544,67550331,55206534,44355886,34978179,26898789,26898788,34978176,44355880,55206525,55327626,44481526,35104977,27019618,20128525,20128524,27019615,35104972,44481517,55327620,67667457,55329387,44483252,44483253,44481825,35105179,35105177,44481819,44482205,55328243,44483655,35106784,35106783,44483650,55329780,67669506,81135882,89804041,255746354,63044525,76027253,89804039,269193064,95193411,81135869,76027256,255330520,41177279,51363457,55327897,55327898,67667695,81134246,95192172,103905057,118046714,105655859,91429377,81134256,67667715,55327913,55327912,55329186,55327791,55327790,55329520,44483401,35106559,27020872,27020873,35105285,27019838,27019839,35105287,44481957,44483644,35106778,27021064,27021061,27021059,256746779,44483638,35106772,27021056,27021054,35106764,44483631,55329773,67667449,81134063,95192053,95192183,95191966,81133951,67667302,55327439,55327438,67667300,76027251,63044523,51363448,41177271,32361394,24744938,18271676,18271678,24744941,32361401,41177282,51363463,55330902,51363469,44483167,35106340,27020680,27020679,35106338,27021096,27021097,35106802,44483668,35106855,27021133,20129652,20129654,20129607,14437175,14437177,20129612,27021073,27021078,27021051,27021049,35106757,44483629,55329770,67669496,55329792,44484032,35107118,27021342,27021344,35107122,44484035,55330093,51363481,41177303,32361414,24744952,18271688,12967759,8826393,8826392,12967755,18271684,24744950,32361412,41177298,44484867,55329516,44483393,35106546,35106547,27020866,27020865,268828119,35106807,27021104,20129630,14437191,14437192,20129632,256221246,44483683,256746734,27021340,20129803,20129802,27021337,35107107,41177300,51363479,44483714,35106845,35104840,27019503,20128447,14436416,9930590,9930589,14436411,20128439,27019493,35104826 Dl.O(d2) = 67667318,268175466,256221326,51182231,269449067,44615835,44615836,44484058,35229989,27135543,20229074,20229073,27135540,27139085,27139050,20231790,14517978,9989772,9989770,14517974,20231788,20231806,27139071,35234187,34590976,34590975,32828792,32828793,37222955,28697233,21445509,21445510,28697235,27139028,20231773,20231775,27139031,32233283,24635678,18180200,12893255,12893256,18180203,24635684,32233289,41025695,47120677,38629543,38629544,38629548,48544337,47145893,37240600,28709870,28709871,37240603,47145894,43159776,34075965,34075967,43159780,53670725,65727082,55476819,44626827,35243308,27146199,27146200,35243311,44626833,55476824,65900978,53833713,53833714,65727079,53833734,53833733,53833682,53833683,65900956,59235987,53833738,53833740,65900996,79263323,71973603,59235967,59235965,71973600,65901023,53833760,53833761,65901025,71973610,59235978,47838818,47838816,47149987,47149988,53833724,257265418,43308671,43308672,53833763,64977427,78250837,84325825,84325826,78250857,78250858,259061921,78250850,64977441,53002600,42562680,42562679,53002598,64977419,78250825,64977476,64977460,64977459,72218145,85812126,85812128,72218146,72218147,72218172,64977468,64977469,59481000,48091514,38179900,29613055,22262317,16122065,255460139,29613056,38179902,48091517,59481006,72218189,258407594,60371727,60371728,70766643,58047912,46673006,36786939,36786940,46673008,58047917,70766649,84325858,86716953,100693279,87238991,73617369,73617368,87238989,100693331,113779910,260445324,259475257,73617365,60866982,49463835,258227551,87238977,101239324,115317682,115317696,114743194,100693301,100693300,114743191,127647736,140995668,128644327,128644328,140995742,140995664,127647733,113779847,99765885,85812042,85812043,99765887,113779849,113779853,113779854,115191443,115191444,129123347,140995688,261169738,140995676,127647846,127647845,140995678,140995679,140995673,127647745,127647746,127647773,261169735,127647742,127647741,140995671,153661739,153661727,140995647,127647715,113779836,113779834,113779926,99765972,85812173,259375223,113779867,99765899,99765900,99766011,99766010,260593079,99765894,113779863,113779889,99765926,85812103,270840251,99766014,99765914,99765913,113779881,113779901,99765937,99765916,258750227,59480944,48091482,48091483,59480948,72218111,85812091,270321597,72218117,85812098,258750221,72218079,70766576,70766577,258750223,59481038,59480968,59480921,59480922,72218091,72218230,64610173,64610174,258648877,58047830,46672934,36786893,36786891,43412542,53939443,66009843,257663576,72218232,59481046,269494815,268739365,25288346,18715425,18715424,15144632,15144633,21083960,15144635,15144634,21083962,28290440,36786912,46672963,58047865,70766601,70766594,58047861,58047862,70766596,84325798,260497045,139439202,152164009,164042428,174860651,175133445,164339208,152470556,139748287,126372194,261094801,133024114,259630172,90816408,76940497,257172552,41707881,32792071,25093445,25093446,32792074,41707883,44455739,268549073,14415060,9914020,9914021,14415062,16883751,11813293,11813294,13530542,9260950,9260949,13530536,13910929,13910928,18965939,18232897,18232898,23645539,19440376,19158645,19158644,19440404,13910940,13910943,19440412,19440422,19440424,26136294,30561002,25574980,18966163,18966162,13650471,13650473,19118969,25757456,33546155,42562466,43866877,49087561,39157964,39157965,39733685,49752346,49839459,39815866,33334700,33334699,42315320,52702597,53002324,53075272,46882197,37003389,30434125,23027748,16785406,11736220,11736221,16785411,23027756,30434141,37003607,46882561,58249825,60343176,48946355,48946356,60343177,73082981,73083014,60343226,48946403,39023630,39023631,39023574,39023573,48946334,46882086,46882087,37003595,28505569,21286576,15322290,15322287,21286566,28505554,37003569,46882504,58249262,58249263,59488997,48100432,38188605,29621351,22270117,22270116,29621332,38188566,46882754,46882755,38188613,38188609,42521232,42521231,48962300,48962302,60357617,58389639,58389640,71106420,72339184,70965794,58249445,46882285,37003437,28505476,21286533,15322277,15322278,21286539,28505489,37003409,46882242,46882211,46882096,37003319,37003320,28505628,21286607,15322303,10582943,10582944,15322305,21286612,28505643,256851489,38188582,29621338,29621337,38188580,48100399,59488962,70966185,70966162,58249898,58249897,58249820,256851475,28505574,28505575,37003605,46882556,46882347,37003476,28505506,21286545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14068105, s2 = 14069817, dlinesl.size( ) = 2 s1 = 14068105, s2 = 14069817, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14068105, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 8433310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7960391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14022834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14022834, s2 = 8256844, int(edited[s2]) = 0 s1 = 14022834, s2 = 8256844, d1 = 8, d2 = 5 Dl.O(d1) = 39348152,39348153,37532287,28987487,21703980,15662842,15662843,21703985,28987503,33053586,25325044,25325046,28988664,21704921,21704922,28988557,21704834,15663423,15663424,21704841,21704880,15663456,10843023,7168025,4514566,4514565,7168021,10843014,15036430,20944778,28122103,36595260,28988603,28988604,28988686,21704932,15663494,15662952,10842728,10842730,15662963,21704170,21704906,28988649,35023352,35023347,30748498,23326960,17061003,17061002,23326955,30748490,25567148,25567149,28987490,28987626,21704083,21704082,28122173,28988763,28990457,28988658,23636901,17321269,17321270,21704824,21704825,21704946,15663509,10843053,7168048,4514582,2712658,2712657,4514576,7168043,10364153,15036436,20944782,25755742,33544400,33544410,28988642,21704899,15663475,15662974,10842735,10842736,15662980,21704203,28987753,35023357,26942610,20057193,20057187,15573590,11969158,11969157,17061011,23326973,18956609,18956610,25567162,20944820,15036460,15036462,20944828,23436917,23436918,23636928,17321282,12196358,12196359,17321289,21207198,21207196,21703928,15663467,10843031,7168029,4514570,4514571,7168034,6827405,6827406,10364164,15036444,20944794,28122120,36595279,40203734,31517035,24015650,17667476,17667475,24015648,31517032,40203732,254186836,46629468,46677100,46677088,36791126,28294431,21087340,21087339,21292872,15326811,15326808,21292856,28513704,30837984,39441769,49370164,49266052,46831136,36953032,28452692,21225807,21225806,28452689,36953028,46831134,58197191,60667121,58191117,46825098,36947156,36947157,46825100,51879852,41586478,32688393,32688394,41586481,254752346,18518204,13157355,8968110,5854470,5854471,8968113,13157359,18518210,25056066,32747333,41657839,49370195,39441807,30838012,23408997,18548366,13179101,8983501,8983499,13179095,18548354,21044885,15116310,15116312,21044894,23977548,23977545,31473893,40158256,46627230,36739155,36739156,39340824,40162954,46891875,37012829,37012827,41486915,51757190,52766766,42367169,42367168,52766764,42367748,41682823,32766764,254860944,35364244,44788483,46627556,46627557,40178332,40178329,35214950,27122446,27122447,35214951,37037545,35214938,35214842,35214843,35214849,27122362,27122361,27124932,27124931,268692063,31806229,35214930,35214931,44595814,256031164,20220564,14509839,14509838,20219045,20219037,14508874,14508875,20219040,15918875,15918876,255189924,37919427,44598871,35218116,35218115,35347830,27224802,254739630,15160674,267787552,4480076,4480077,7115534,10769443,15569932,13431070,13431069,14509142,9983897,6562071,6562072,9983902,14509149,20219457,24844564,32486593,257153845,49068430,47842723,37922778,29356350,22025851,22025852,29356352,256918595,49068445,49068444,47842738,47842737,59239610,71977083,85564254,71977079,59239607,59239608,71977080,269803405,37922830,29356384,22025870,22025871,29356386,22025878,22025877,29356397,31620818,40309187,34561682,34561681,43834544,43834548,42452578,42452579,42452490,33459697,25687782,25687783,20995386,20995385,25687788,33459702,42452580,37203499,28680191,21431215,21431214,28680187,256122200,50648758,62157923,74969439,62157973,50648824,42846232,33805496,25989394,25989395,25888033,22569772,17071612,17071613,21855814,21855813,19229800,13737548,9411388,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347944,254192936,24184973,17816429,12614014,8562212,5559312,3443981,2038931,2038934,1701500,1701499,2933716,4868486,3398627,3398631,5510502,8510420,12551903,12614073,8562269,7693144,5511722,5511726,3399330,2004050,1145563,1145562,2004043,3399318,5511858,5511781,5511778,8512833,8613110,8613113,8510302,5510449,5510454,8510323,7394706,7394707,7394881,4671682,4671685,7394895,11149272,12047695,17142483,23418691,17800074,12600223,8550774,8550779,12600238,17729281,17705677,12524049,8485963,5486838,5486839,5501303,5501305,8499762,8568547,5564159,3447794,3447793,5564139,8568496,8561269,8561270,8500979,5502601,267801439,1999150,3392129,5502597,8500972,12539866,12609390,8558177,5555061,5555058,8558168,12609376,17811017,254410422,13441906,9191274,6016928,6016933,9191291,13441938,18865068,17724404,12539901,8500992,8500990,12539899,8513319,5512026,5512027,8513323,12556762,12554971,12554972,17744043,12621672,12621673,17818108,17818109,24186707,27043141,27043140,23041126,16796192,11744016,7840944,4977324,3006758,3006759,4977327,7840947,11744026,14455184,20150721,24194382,31702076,31636439,24129264,17765906,12572016,12572015,254444830,12539646,254865280,20148245,21034144,15107952,15107953,13756892,13756893,15107951,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190101,13440547,14126315,9718618,9718574,9718573,12632722,12632720,13440045,9845571,6466368,4051518,4051519,6466372,9845582,9191917,9191922,13442695,15889052,12624026,8570149,5565911,3449635,2043232,2043231,2449870,1416454,1416456,1175427,1175426,2049522,3457206,5573141,8577349,12632652,14979466,12556725,1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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14022834, s2 = 8256844, dlinesl.size( ) = 2 s1 = 14022834, s2 = 8256844, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14022834, Dl.E( ) = 10, 2.22e-05 seconds used appending s1 = 15979082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10342974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6704290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6704290, s2 = 882051, int(edited[s2]) = 0 s1 = 6704290, s2 = 882051, d1 = 8, d2 = 12 Dl.O(d1) = 257536136 Dl.O(d2) = 255916465,22533319,29816589,29816591,37905723,29816535,22448628,16278911,255095015,7517056,4752014,2863940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6704290, s2 = 882051, dlinesl.size( ) = 14 s1 = 9805737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15345436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15345436, s2 = 9456233, int(edited[s2]) = 0 s1 = 15345436, s2 = 9456233, d1 = 7, d2 = 7 Dl.O(d1) = 5315738,5315739,254840347,7820628,4962774,2997234,1740703,989170,556556,311225,311226,556562,989369,1091724,1091725,1911646,3254584,4676407,2817260,1634419,929458,523905,293598,293596,523900,929449,1634402,1884330,1896108,3232707,5278979,254837267,5414533,3328375,3328374,5414531,8390682,254768053,7402287,5861598,3659431,3659432,5861603,5288448,3240102,1901034,1085131,1085130,1901028,1906219,1906245,1088306,611034,339885,186574,186576,339893,611051,1088334,1655575,942026,942027,1655629,1090873,1090870,1910331,3252883,5293886,7305662,7305661,5268147,3222885,2772969,1608346,915013,915014,1608349,1911235,3254079,5266967,5280766,4607004,4607002,7302572,8192588,5262074,3217308,254181219,1075452,607889,607235,337888,185588,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097478,1921149,3267892,3249174,1907574,1089130,611494,340121,186684,101998,102000,186689,340129,611507,1089152,1907617,3249229,4612561,2777348,1611202,1611200,2777343,4612553,3233345,1896532,1896533,3233346,3198783,1872548,1872549,2788464,2788463,4628938,4962066,5235436,3195637,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884651,3205670,1877237,1877239,3205675,5235519,3214177,3214175,5258400,8188862,7513728,4749763,2862530,2862528,4749761,7513724,11316296,16274299,22442749,29809522,38381647,257533141,72414476,86010944,99970261,113993796,127872059,141231259,153903204,165679458,176347083,263554813,189538656,180635500,170498786,159156275,159156276,261957733,133523014,133523015,119649716,105412514,91190264,77270698,64123338,52274182,41935297,32994486,256627633,255650662,33010044,27222159,20293710,14562670,10020809,10020808,11949827,11949825,17035529,17281369,15036464,10364171,6827410,4845114,2919771,2919772,4845115,267980263,14967450,17453488,15073774,10396728,6853315,4300925,4300924,6853311,10396718,15016946,15596805,21627720,25325717,20824458,20824457,22464834,29832097,36462453,28003607,28003605,21623585,15593081,268198886,28898791,21623596,21623593,27277553,27277552,35403696,44829285,55736971,68134793,74816320,62019853,50528087,40492540,31797604,31797606,40492546,40178077,31492606,23995071,17651182,17651181,23995065,23995005,17651146,17651145,23995001,31492517,40177980,50201771,40177972,31492510,31492511,40177973,50185144,40160725,40160703,40160702,31476349,23979916,255258932,12480423,17651222,255187043,8444590,8444591,12454183,12472235,12472234,12466655,8435591,8435590,5446421,3348196,3348195,5446418,8435624,8416728,5431871,3354354,1971933,1971932,3354352,5456184,8447794,12164666,8422515,5436257,3341917,3341916,5436254,8422513,8424980,12456683,17625185,17625186,15809238,10955274,10955275,8419096,8419094,5439467,5426314,5426315,8409057,5427967,5427966,8411290,268113973 Dl.O(d2) = 5315738,5315739,254840347,7820628,4962774,2997234,1740703,989170,556556,311225,311226,556562,989369,1091724,1091725,1911646,3254584,4676407,2817260,1634419,929458,523905,293598,293596,523900,929449,1634402,1884330,1896108,3232707,5278979,254837267,5414533,3328375,3328374,5414531,8390682,254768053,7402287,5861598,3659431,3659432,5861603,5288448,3240102,1901034,1085131,1085130,1901028,1906219,1906245,1088306,611034,339885,186574,186576,339893,611051,1088334,1655575,942026,942027,1655629,1090873,1090870,1910331,3252883,5293886,7305662,7305661,5268147,3222885,2772969,1608346,915013,915014,1608349,1911235,3254079,5266967,5280766,4607004,4607002,7302572,8192588,5262074,3217308,254181219,1075452,607889,607235,337888,185588,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097478,1921149,3267892,3249174,1907574,1089130,611494,340121,186684,101998,102000,186689,340129,611507,1089152,1907617,3249229,4612561,2777348,1611202,1611200,2777343,4612553,3233345,1896532,1896533,3233346,3198783,1872548,1872549,2788464,2788463,4628938,4962066,5235436,3195637,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884651,3205670,1877237,1877239,3205675,5235519,3214177,3214175,5258400,8188862,7513728,4749763,2862530,2862528,4749761,7513724,11316296,16274299,22442749,29809522,38381647,257533141,72414476,86010944,99970261,113993796,127872059,141231259,153903204,165679458,176347083,263554813,189538656,180635500,170498786,159156275,159156276,261957733,133523014,133523015,119649716,105412514,91190264,77270698,64123338,52274182,41935297,32994486,256627633,255650662,33010044,27222159,20293710,14562670,10020809,10020808,11949827,11949825,17035529,17281369,15036464,10364171,6827410,4845114,2919771,2919772,4845115,267980263,14967450,17453488,15073774,10396728,6853315,4300925,4300924,6853311,10396718,15016946,15596805,21627720,25325717,20824458,20824457,22464834,29832097,36462453,28003607,28003605,21623585,15593081,268198886,28898791,21623596,21623593,27277553,27277552,35403696,44829285,55736971,68134793,74816320,62019853,50528087,40492540,31797604,31797606,40492546,40178077,31492606,23995071,17651182,17651181,23995065,23995005,17651146,17651145,23995001,31492517,40177980,50201771,40177972,31492510,31492511,40177973,50185144,40160725,40160703,40160702,31476349,23979916,255258932,12480423,17651222,255187043,8444590,8444591,12454183,12472235,12472234,12466655,8435591,8435590,5446421,3348196,3348195,5446418,8435624,8416728,5431871,3354354,1971933,1971932,3354352,5456184,8447794,12164666,8422515,5436257,3341917,3341916,5436254,8422513,8424980,12456683,17625185,17625186,15809238,10955274,10955275,8419096,8419094,5439467,5426314,5426315,8409057,5427967,5427966,8411290,268113973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15345436, s2 = 9456233, dlinesl.size( ) = 2 s1 = 15345436, s2 = 9456233, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15345436, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 15271984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16073202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6506559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6471497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6779381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1394774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16275965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16275965, s2 = 9187377, int(edited[s2]) = 0 s1 = 16275965, s2 = 9187377, d1 = 29, d2 = 30 Dl.O(d1) = 70349533,70349532,258234342,111654474,258856896,83874550,70349516,57659421,46315131,46315130,57659420,47532284,37625754,37625747,257476295,258709755,99121319 Dl.O(d2) = 46268646,57613151,70303671,83828695,86701772,86701773,100674944,99321370,99321369,113324605,113324603,99321365,99321366,86701779,73098295,73098294,86701777,100674951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16275965, s2 = 9187377, dlinesl.size( ) = 2 s1 = 16275965, s2 = 9187377, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16275965, Dl.E( ) = 32, 1.22e-05 seconds used appending s1 = 162916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7569855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14056504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9792913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14073520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14073520, s2 = 8285899, int(edited[s2]) = 0 s1 = 14073520, s2 = 8285899, d1 = 33, d2 = 43 Dl.O(d1) = 1358532,774419,439721,248033,248032,439704,774380,1358437,2345113,254302300,9539246,13900619,19237365,13744168,9416701,254207078,6188284,3872753,2319158,1344462,1344459,1344212,1344213,1344236,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1300072,1300075,2241973,3745382,5989804,9151254,9151255,13386977,18793567,25378346,33113571,256973732,48837458,48837457,48837460,38916867,30330409,22929574,22929575,30330412,30330414,22929576,16695087,11655922,7767326,4920925,2967286,2967284,2970233,2970230,4924878,7772008,11660719,16700147,12229127,8256859,5326689,3274083,1925772,1100353,1100354,1925774,3274090,5326704,8256889,12229171,17359026,12229053,8256819,8256818,12229049,17359022,23679338,31167692,24462782,24462783,18043765,12790857,8695879,5659973,3520026,3520024,5659978,8695890,12790873,18043792,24462859,24462862,32024532,24462818,18043699,17359153,12229142,8256869,8256868,12229137,16700123,11660706,11660707,13539008,13539009,18974218,13538998,12229102,8256847,8256848,12229106,17359102,23679427,23679486,17359186,12229164,12229165,17359191,18974089,18974088,25581995,32024520,256138175,18974214,18974205,255673351,13538914,13538915,18974116,17359044,12229064,9268089,9268088,9268135,9268073,9268074,9268051,6070626,3798231,2274993,2274992,3798226,2275002,1319252,752554,427441,427442,752557,1319259,2275020,3798275,6070716,9268210,13538987,18973852,18973851,25581717,18974104,13538907,13538906,18974102,25582009,33341103,25581768,25581769,33341179,33341147,25581744,18973871,18973872,18973885,25581759,33341165,42322024,42322190,33341337,33341338,42322192,42322353,33341506,25582114,25582115,33341508,42322356,42322141,33341518,33341519,42322003,42322127,33341266,256654387,52709305,48012999,38102472,29538969,29538970,38102473,38102439,35226214,27132243,20226597,14514318,14514317,20226594,27132235,35226196,27132226,27132227,35225798,35225799,256914615,37864559,40780790,50389578,40354699,35226232,255892361,16067147,16067146,22195740,22195742,29538905,29539023,22195838,16067220,16067221,22195761,22195754,20226313,20226312,22195782,16067187,11156523,7399965,4674785,4674783,7399961,11156518,11156511,11156513,16067173,16067300,11156596,7400014,4674816,2816350,2816351,4674818,7400019,11156608,16067142,11156495,7399953,4674778,4674780,7399957,11156505,16067160,20226351,14514149,9987237,9987236,14514144,11156549,11156550,14514205,14514206,20226297,14514105,14514103,20226294,14514117,9987204,6564128,4112233,4112234,6564130,9987211,14514113,9987202,6564126,6564125,9987200,14514112,11156508,11156507,16067165,20226587,255337802,11156565,7399993,7399994,11156568,16067254,20226376,20226333,254982747,7400027,7400028,11156619,16067325,14514037,9987155,6564100,4112221,2459840,1422026,1422025,2459837,4112218,6564092,9987141,9987243,11156615,7400024,6564216,4112299,2459877,1422048,809055,458552,458551,809051,1422043,2459871,4112287,4112255,2459858,2459859,4112260,6564106,4674806,2816346,2816345,4674802,7399996,11156572,14513758,9986968,9986969,14513760,9987179,9987178,14514075,20226273,27131849,27131342,27131343,27131855,20226283,14514092,254694729,4112229,4112228,267948597,14514298,9987341,9987340,9987334,268049897,14514016,255337795,20226250,27131347,20225888,14513764,9986975,6563980,6563981,9986978,14513769,20225895,27131222,27131356,20225898,14513774,9986984,6563984,6563983,9986983,14513772,16067276,14514054,9987163,6564104,6564103,9987161,14514048,20226237,268049895,6564116,4112226,4112225,6564113,9987175,9987338,9987337,14514293,20226564,27132200,27131809,20226218,14514040,14514041,20226221,27131813,20226254,14514062,14514061,14513708,14513707,14513776,14513775,14513705,14513704,20225802,20225779,14513690,14513689,20225776,27131226,27131238,20225790,14513696,9986981,9986956,9986955,14513748,9987342,9987343,14514301,20226389,14514182,14514181,20226261,14514067,9987169,6564109,6564110,9987170,14514070,20226266,27131257,27131256,35225074,35225162,27131353,20226222,14514042,14514043,20226226,20225821,14513716,9986932,6563959,4112137,4112139,6563962,9986937,6563990,6563991,9986919,9986914,9986915,14513694,20225784,14514083,255337779,20225788,27131234,35225066,27131836,27131236,27131235,27131324,34602769,26615431,26615430,34602767,35225142,27131364,20225907,20225908,14513791,14513784,267948589,4112149,2459801,1422003,1422004,2459804,4112153,6563997,9987004,268177319,14513719,9986934,9986935,14513699,9986923,6563954,4112135,2459796,1422001,1422002,2459798,4112142,6563972,9986953,14513745,20225870,27131322,35225089,27131273,20225832,20225833,27131275,20225879,14513751,268340811,26615426,27131361,20225902,14513782,9986991,9986990,14513780,20225900,26615511,20225905,14513806,9987001,9987002,14513807,14187507,9752990,6412681,254681047,14187509,14187487,14187488,19806781,14513795,14513796,19806794,26615424,20225863,20225864,27131318,20225920,20225919,20225813,14513710,14513709,9986941,6563964,6563965,9986945,14513730,9986962,6563976,6563977,9986966,14513756,20225765,14513683,9986908,6563949,6563948,9753010,9753011,14187540,19806849,20225872,27131328,26615509,19806844,14513680,9986903,9986902,14187504,19806804,26615421,19806790,14187493,9752983,9752982,14187489,19806786,19806839,20225915,20226604,268552189,27131271,27131270,35225083,44605910,43872829,34602792,34602791,43872827,39292275,30694783,27131279,20225837,20225838,27131281,26615504,26615502,26615458,19806817,14187515,9752995,9752997,255313903,26615476,23395645,23395644,30823553,256230747,26615448,26615450,30823546,30823545,30823540,23395636,23395635,30823538,39427817,49357444,257884157,54615099,60760704,54615089,54615087,66872826,60760681,49357423,256484633,30823528,39427797,43872810,43872825,43872820,34602783,26615446,26615445,34602779,26615468,26615469,34602816,34602840,34602823,34602824,43872869,54615129,60760675,60760674,54615092,269613533,60760677,49357454,39427825,39427824,257610795,257029985,30823531,30823530,39427799,49357424,60760684,73509777,81264612,72131085,59400579,52270303,41931362,41931361,52270301,54615112,54615111,258503407,52270284,52270285,64119342,77266430,66872845,66872843,66872842,64119336,64119335,77266425,80302181,258385659,64119360,77266442,85715718,73509774,60760672,55455293,44606644,44606643,52270261,49357413,256930697,29539036,29539037,38102533,269337251,72131087,77266434,77266407,64119308,64119307,52270271,52270270,41931338,41931339,257181861,32990686,41931368,49458101,49458100,59400578,72131083,72131089,269337253,48013059,52270272,52270273,59400568,48013050,38102530,38102529,48013047,57995521,70712355,77266419,64119329,64119330,77266421,87128700,87128701,77266412,64119320,52270267,256627237,25266781,18694982,13301872,9083496,268021825,18694985,25266794,32990678,35370244,41931327 Dl.O(d2) = 123911287,109774340,95574153,81543647,68056731,68056730,68056732,55659807,44751516,35325199,35325198,35325197,27201097,255399838,20274094,14546456,14546454,20274089,27201096,35325196,255602530,32896220,31919441,24386887,254882044,40635028,50694191,62214053,65056600,72707876,255792222,256817618,59970917,59970911,48579133,48579134,269824053,72707987,59970904,59970906,72707988,65775891,258471575,86304938,93246730,93246729,100266807,114296627,111817592,111817591,100266794,269297466,72707993,257396450,86304940,86304941,72707999,72707998,86304944,91076445,105289251,100266775,86304915,72707955,72707956,86304917,100266777,98937763,85012219,85012218,98937760,86304950,86304951,100266800,100266802,97885330,97885329,100266742,86304861,72707908,72707907,61669256,50184886,40160452,40160453,50184889,59970883,59970882,48579146,48579147,59970939,257396478,72366564,72707922,59970849,59970850,72707925,59970930,48579144,48579145,59970935,72708009,70482675,57782509,258007335,84016588,84016614,97885325,111817583,97885313,84016597,84016599,70482692,57782525,46427490,36563252,28093084,28093085,36563254,257396467,63022404,51341578,51341579,63022407,76005746,71628544,58908204,47527233,47527232,58908201,70329984,57639834,46295584,46295583,57639830,70329976,71628530,71628529,85193143,84016603,84016601,258126632,76005794,84016591,70482680,70482679,255898412,63022426,63022416,51341584,51341585,63022419,63022420,76005755,76005727,63022392,63022396,76005732,83854983,70329843,57639649,57639650,70329846,61299509,57639817,57639818,51341643,51341642,63022471,76005805,83855020,83855021,97713823,83855001,70329934,57639798,46295559,46295498,36442489,36442490,46295500,57639739,70329906,63022412,51341582,51341583,51341630,41156659,32341855,24726088,24726089,32341858,41156665,41156619,32341836,32341835,41156616,258343111,63022487,76005814,83854985,70329850,57639655,57639654,61299514,49819885,255898430,36442551,36442550,46295573,57639791,258126612,70329941,57639804,46295563,36442540,27983399,27983397,36442537,36442487,36442486,41156633,51341599,63022432,76005748,89783274,83854967,256394894,46295493,46295492,57639731,48088750,48088751,59478362,63022465,70330004,70329931,57639796,46295557,46295556,57639793,59478476,49780877,49780878,48066239,38153402,38153401,48066236,38153404,38153406,48066244,48088903,38177075,29610258,22259858,22259857,29610255,22259876,16120266,11198027,11198028,16120270,22259879,29610283,38177104,39761837,255898418,36442526,36442502,27983378,20819102,20819103,27983380,36442506,46295513,48066218,42624949,42624948,53072515,59457336,48066228,38153397,29587186,22239320,22239319,23599930,23599929,31083764,255083046,255547619,31083781,255459980,49780899,61259827,61259829,61259830,74039793,87643322,268942702,255898426,65535090,65535089,59457343,48066230,48066229,38334388,29763666,29763665,38334386,46805690,46805691,48066262,39761845,39761846,267974468,48066206,38153375,29587173,22239315,22239314,29587169,38153369,39761868,31083785,31083786,39761857,31083772,31083771,31083766,31083767,39761854,43031470,33974448,26135645,19439840,19439841,26135649,29587211,29587212,36927397,31025024,31025023,39702144,49720630,60524768,49123652,268402258,41156604,41156605,36927357,36927356,46805600,36927334,36927335,29587208,29587207,33974441,43031463,46805668,46805667,58173108,60524794,255898372,30599446,23180714,23180713,30599443,30599410,30599409,39196068,36927405,36927404,46805704,49720638,39702137,31025013,23543677,23543674,31025010,39702133,36927408,36927409,46805711,58173150,65766583,58173044,46805593,36927331,36927332,46805598,36927439,28428777,21205017,21205018,28428783,36927447,43198330,34112185,34112184,43198340,49123685,60524791,58173116,46805723,36927419,36927420,39196065,49123646,48244755,38334331,29763644,23180718,16915717,11838427,11838426,16915712,23180704,30599425,39196089,46805698,58173103,58173104,59631972,48244811,48244810,44541573,35164030,35164031,44541577,46805686,36927393,28428752,22401311,22401312,29763671,255898364,46805695,46805696,54642992,54642983,54642982,66900289,66900291,65766586,53709899,53709898,46805605,38334401,38334400,48244831,58173160,48244764,38334344,29763638,22401300,16239625,16239626,22401303,29763645,30599420,23180698,23180697,30599415,38334416,38334415,48244841,54643013,43900045,43900044,48088612,48244739,59631907,59631908,48244745,38334323,38334324,48244748,54642994,43900027,34627781,26637990,19825983,19825982,26637987,34627776,43900020,54642986,66900294,80327759,70887322,58173052,58173050,59631941,48244775,38334357,255909953,255909951,38334354,48088662,48088663,50541968,58173086,46805649,46805648,51068411,62697403,62033425,50541949,48244719,48244718,40506700,31811112,24295849,24295848,31811109,40506695,48244778,59631946,59631955,72366475,70378050,59631916,59631903,48244721,38334299,38334300,46805647,46805646,58173084,59631967,71282582,71282581,84856070,72366465,72366466,62033434,50541963,40506689,31811102,31811101,40506687,40506612,31811046,31811047,40506616,40506623,43900041,54643009,66900309,60149055,48754744,48754743,60149051,257782978,62033431,50541959,40506686,31811097,24295842,24295841,31811092,29763650,29763649,38334362,48244787,59631957,72366478,62033414,62033413,67735482,71885925,71885926,59631902,59631901,72366447,257207486,71282605,71282585,58551065,47162469,37257125,28725611,21468937,21468938,28725614,37257133,256428628,40506653,31811073,24295830,24295828,31811067,31811057,28210590,256289655,46588379,57964823,47749517,37827288,29261827,29261826,37827282,47749512,59148038,47749572,37827343,37827344,47749574,258471488,71885922,59148043,47755976,47755978,38181051,29613975,29613976,38181054,48092836,38947091,30360999,22959612,16723749,16723750,22959600,30360974,38947063,38181066,29613984,29613985,38181068,48092851,50541867,53678289,43167989,34084617,34084618,43167995,53678294,53678304,62033400,50541909,50541908,59148101,47749587,37827352,29261867,21940464,15852146,15852145,21940458,29261859,37827336,47749566,47749494,37827263,29261818,29261819,37827270,39395364,48092839,38181059,29613980,22263036,16122622,16122624,22263042,29613992,38181077,48092856,47755937,37833358,37833356,47755935,59154616,53678609,43168279,43168281,53678613,58219259,46851395,43167999,43167998,47749554,47755946,37833363,37833362,47755943,53678267,43167948,256697147,26223927,26223926,34084848,43168268,53678589,65734659,65734324,268909020,34974417,34974416,44351930,55202448,64578869,52678611,42292196,33312049,33312048,256739018,42292183,33312039,25550621,18938139,18938138,25550620,33312037,34084842,43167954,43167937,34084575,26223738,26223739,34084579,29267184,29267183,37833280,39395246,30792606,26895185,26223965,19509316,13964400,9588195,9588194,13964414,15856258,10990153,10990152,15856256,21945099,29267248,29267261,21958806,21958805,18938142,18938144,25550632,33312054,25741687,19108081,13642963,9342369,9342371,13642972,19108096,20165866,20165868,27059521,33756932,38873470,30792727,23366645,17097458,17097457,13964318,9588123,6293878,6293877,9588118,13964315,15856230,21254948,23366555,23366554,26895190,20013691,14333552,9846489,9846487,9588189,6293906,6293905,9588182,13964326,10990146,7275249,4588155,4588157,7275256,7279809,7279808,10997003,15866365,18938148,25550640,23366606,23366605,30792667,32132722,25741702,19108091,19108092,25741707,27059514,27059515,33756928,30792620,30287694,28093059,28093057,23366642,23366643,26223759,19509361,15952038,15952040,21017422,15095221,15095222,21017426,17097416,17097415,23366564,26895172,20013681,19509352,19509351,19509310,13964395,13964394,19509303,26223941,29267219,29267218,37833327,29475811,26223789,19509194,13964333,13964332,19509191,26223782,33602017,42626557,46798545,36920737,28422681,21199806,15235043,15235042,16656498,11624082,11624081,16568096,11549336,7683844,4861858,267791895,1699385,2929729,4808405,7600873,8624425,6813849,4273839,2930632,2930635,2895035,2895037,2955856,4796811,2955648,2955651,4903763,4796615,2891322,1678176,1678175,2891317,4795522,4795521,7581784,6814893,6814894,7595569,4804603,4804604,2897593,1681314,1681315,2897596,2897875,4808302,7600699,268090063,19514506,26230168,34091962,30344677,30344676,38930731,48850616,269531409,78536220,78032845,78032844,70530613,57829038,46473047,36606836,36606835,30665819,30665820,39261282,48387407,59770247,60236460,60236461,71005715,71005714,72972163,61267248,61267249,55468832,55468831,62115027,57829319,50615387,40573161,40573162,50615389,57829338,57829339,60235120,48840855,38920413,30334073,22933305,16698525,254803525,7770590,11659216,15862758,15046830,10373912,10373913,15046823,20955622,28133449,28133512,28133515,36607330,36607324,28133510,20955659,16698566,16698567,22360881,16208017,11266979,7479399,7479401,11266980,16208019,22360885,22933616,22933615,30334452,22933608,16698735,11659391,11659392,16698740,22933611,30334458,30901857,39509646,48841383,48841384,52354015,42856659,256683358,33815735,25998811,25998812,19326846,13820491,9478442,9478443,13820496,19326850,25998825,23379622,17109591,12023381,12023384,17109599,23379628,30342393,22941175,255684788,11665730,11665729,16706079,22941914,30343143,25998304,19326480,19326479,22941908,30343147,256451455,22941865,255951313,16705990,16705989,18760821,13359192,255255387,18760899,18760898,18760939,22944113,17282907,15639195,10822297,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941126,30342335,37493905,37493906,258077569,58789549,71519356,71831386,257443644,46951676,46951675,58318652,71034288,84598593,98523578,112518444,261096459,139764456,152485058,164352544,263093873,184722751,193085834,185684207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14073520, s2 = 8285899, dlinesl.size( ) = 2 s1 = 14073520, s2 = 8285899, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14073520, Dl.E( ) = 44, 3.1e-05 seconds used appending s1 = 7945558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11058620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1083602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1083602, s2 = 4822223, int(edited[s2]) = 0 s1 = 1083602, s2 = 4822223, d1 = 0, d2 = 3 Dl.O(d1) = 28114770 Dl.O(d2) = 197714900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1083602, s2 = 4822223, dlinesl.size( ) = 2 s1 = 1083602, s2 = 4822223, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1083602, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7811743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7811743, s2 = 7930379, int(edited[s2]) = 0 s1 = 7811743, s2 = 7930379, d1 = 19, d2 = 11 Dl.O(d1) = 27244662,20313267,14577738,10031064,10031065,7564730,7243578,7243579,10946095,11809446,7888247,5009900,3029278,1762593,1004175,565886,565889,1004052,1762344,1763421,1004617,566111,317056,175301,96355,96353,175297,317050,566104,1004596,1763388,3030643,5011970,5012036,3030707,3030708,5012040,5009932,5009931,3029793,3029792,5010754,3030646,254234870,1004599,922171,519869,291445,161242,88648,88647,161239,291440,519862,566088,317042,175295,96351,96350,175289,317033,566068,1004553,1763321,1763407,3030684,3029819,3029818,5010793,6856039,4302717,2572578,1481221,1481220,2572574,4302707,6856019,4304269,2573448,1481701,837606,472028,472029,837611,1481711,2573462,4304292,6858640,10402080,255011507,20994970,20992498,15078773,10400574,6856003,6856004,10400578,15078781,10404791,10404790,15085030,15085032,10405758,6859511,4305019,4305018,6859506,10402952,10402951,10403968,15083875,20999372,21013227,28173631,20992554,15078827,10400610,6856033,4302713,4302712,5191213,5191212,6856014,10400594,15078812,10404710,6858598,4304271,268684678,15084997,21000928,28182834,255374219,10404263,10404262,15084269,20999956,15085023,10404726,6858605,4304274,4304273,6858603,10400569,10400568,15078768,20992491,28173538,36649019,28176018,28176017,21001004,15085056,10404750,6858621,4304281,4304280,6858617,10404746,15083883,20999163,15086261,15086262,21002391,28182095,28181821,28181820,28185304,36662061,36658338,28181830,28181829,28185250,21002057,21002058,21001020,15085061,15085060,21001016,28176010,20994622,15080526,15080527,20994625,20994632,15085018,10404722,6858601,6858600,10404717,15085014,21000953,28183877,28183930,21000999,21000998,28183927,36658321,28181818,20999141,15083701,10403853,6858088,4303956,4303957,6858091,10403860,15083713,20999167,28181861,36658366,28182101,28182100,36658607,36651644,28175990,20994610,15080522,15080523,20994614,28175993,28183946,21001014,21001015,28176015,28176016,21000964,15085022,15085021,21000962,28183867,21000938,15085004,10404713,10404714,15085011,21000947,28176002,20994617,20994616,28175998,28183922,36658317,36658318,28203577,28203576,36658343,28181848,20999153,15083707,15083706,20999151,28181845,28181858,36658362,46525982,57882150,57882104,46525938,46518609,256288107,20994606,20994607,28175988,36651641,46518612,36660491,28183943,28183942,256827103,28183893,21000959,21000958,28183890,36660401,28183861,21000934,21000933,21000944,255800853,36660412,46518619,36660474,36660475,46527920,46579966,46579965,57956368,57883710,46527855,36660432,28183887,28181837,20999145,20999146,28181843,36658341,36658356,46525979,57882148,258641109,70575047,57874128,46518605,36651638,256826419,36651640,39134702,39134701,46527932,36660487,36660488,46527936,57883791,70585043,70584959,258016760,57885025,57883694,46527828,36660409,28183869,28183868,36660408,46527825,46527831,57883698,46527918,46527917,57883774,57956363,57956364,57883641,57883637,46527757,46527758,36660428,36660421,28183881,28183882,36660426,46525961,57882130,60468192,60468191,73215035,84121808,84111369,70575042,57874126,46518603,257008052,39134704,30535915,30535916,39134708,49064854,57883788,57883786,60468179,73215022,70584955,70584954,270351172,57885027,46529417,36662002,36662001,36660365,28183837,268907345,46527760,36660343,256827097,46527847,57883702,70583600,70584929,257406451,36660352,28183819,28183818,257406449,57883802,258641287,84121836,84121793,84110083,70573511,70573512,57883670,46527801,36660386,28183848,21000926,15084995,15084994,21000921,28183841,36660375,46527791,46527765,36660348,28183817,21000906,15084987,11790413,11790412,16857709,23117178,30535939,39134724,46527846,46527845,49388488,46527771,46527770,39460147,39134508,30535769,23117073,16857669,11790392,11790391,16857663,23117068,30535760,39134492,49064610,46527964,36660517,36660516,46527960,57883811,70585056,70573515,57872178,46516273,46516272,57872171,46527795,36660382,28183846,28183833,28183831,36660362,36660369,46527786,57883660,49388555,46527755,36660341,28183810,28183808,30535929,23117173,23117172,30535924,39134718,49064867,60468308,60789291,60789273,49388496,39460154,30855672,23424700,17147302,17147301,23117057,16857658,16857657,23117052,30535744,39134477,49064603,46527970,36660523,28183971,28183972,36660530,46516301,57872204,57872188,46516283,36649145,36649144,46516279,57872185,49084769,49084770,49388460,39460117,30855648,30855649,39460122,49388465,39460186,39460187,39460107,36660332,36660331,36660324,36660323,46527743,49064864,49064863,60468302,73215111,60789310,49388521,39460166,30855678,23424706,17147313,12051223,12051222,17147288,17147287,17147292,23424679,30855640,39134712,46527973,36660534,28183976,21001030,21001031,28183980,36649155,46516305,57872197,46516294,36649150,36649148,46516292,49084779,39154904,39154903,49084775,39460127,30855653,30855654,39460132,39460190,30855691,30855692,39460195,46527750,46527748,57883627,70584920,70584914,60468299,49064887,49064888,60468319,49388591,39460231,30855714,23424722,17147328,12051232,8102284,5191208,5191206,8102281,12051217,17147299,23424692,30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Dl.O(d2) = 1481610,838267,472488,472487,838263,1482523,1482399,1482398,1482405,838301,472510,472508,838296,1482379,838171,472425,265464,146959,80778,44217,24565,13744,13745,24570,44230,80783,80782,146974,265492,472450,838210,472534,472518,265526,146995,146876,146875,146888,146887,265369,265454,265456,472413,838141,837522,837500,471996,471997,837553,1481614,1482417,838195,472442,265480,265479,472440,838189,838290,472504,472503,838286,1482393,1482331,838130,472404,265449,146953,80770,80769,146946,146989,146990,265473,146966,146965,265468,265540,147005,80807,80805,146997,265534,472272,265346,265347,265363,265364,265486,265487,472408,838136,837531,471982,471981,837528,1481568,254157760,6857957,7890525,11812247,10489207,254157822,5011454,5011456,5009806,3029233,1762571,1762570,3029230,5009797,7888059,7285998,7285999,11006346,10487771,10487768,15204925,17906203,21036711,21036710,22864638,16879395,11809267,11809268,16879396,21161231,21161232,21971872,15878236,254329592,7286399,11006786,15878233,16883564,255384200,23112036,22126248,16011687,11116590,7373099,4657874,4657873,7373094,11116578,11116565,11116566,11605869,7725967,4890270,4890269,7725962,8649510,8649509,12729352,16636860,11605279,7725599,7725598,255019270,16882709,11812268,11812267,16882707,23142780,30559797,38781242,256301952,30260421,255501225,16637255,22864488,30260426,38844132,38844224,30260546,30260547,38844226,39487641,30881705,255974222,255527426,40507564,40507563,49422857,49422858,39492801,39492800,30886369,23454357,254819348,23281133,23281134,17176874,12077322,12077318,8121267,267991599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7811743, s2 = 7930379, dlinesl.size( ) = 2 s1 = 7811743, s2 = 7930379, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7811743, Dl.E( ) = 20, 2.19e-05 seconds used appending s1 = 10197671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10197671, s2 = 14860311, int(edited[s2]) = 0 s1 = 10197671, s2 = 14860311, d1 = 0, d2 = 0 Dl.O(d1) = 35044428,268439864,20079779,26964155,35044425,26968377,20083064,20082960,14399186,9904236,9904235,9904268,9904267,14399244,14399307,14396430,14396431,14396695,13201414,8999624,8999623,13201409,14396690,14396691,14396624,9902615,6508765,6508766,9902622,9903679,6509375,4079100,4079099,6509368,9903455,6509242,4079042,2440649,2440650,1411147,1411148,1411089,1411090,2440552,4078852,6508707,4078742,4078740,6508703,9902509,14396453,20079126,21958272,20080487,14397458,14397459,14399275,9904286,6509720,4079275,2440768,2440769,4079281,6509736,9902496,9902655,9903900,6509517,6509520,9903907,14396891,14396892,9903611,9903613,9902610,9902609,14396609,14399342,9904325,9904327,14398139,9903580,6509309,4079071,2440664,1411142,802730,454798,256292,256294,454809,802761,1411212,2440796,4079327,6509806,9904403,14399453,255742987,26968579,20083256,14399459,14399458,20083254,256217261,44424492,55271773,55271780,44424498,44424497,55271778,67612638,81080031,81080032,83934698,78687015,67612634,67612635,65382341,65382340,70408472,78687012,65382342,53378418,42912118,33866539,26044460,19365398,19365399,26044461,33866541,42912116,42912117,53378416,53378420,53378419,53378424,65382344,78687014,75375715,75375716,65382343,58546647,47158409,37253600,28722680,21466512,15465544,10693897,10693898,15465546,21466519,28722695,37253622,47158437,58000456,46624370,36736224,36736225,46624372,58000458,58546629,47158394,39296200,255070118,28722654,37253559,40492124,257499248,257499250,37253596,37253597,29147838,21839797,15770136,15770138,21839801,29147847,37708134,39138509,30539363,30539349,23120461,23120462,30539353,28722668,28722667,37253581,47158387,47158330,37253537,37253534,39353024,39353023,31508397,24008759,17662399,12489856,8459434,8459433,12489854,17662395,24008753,31508387,31797192,31797193,40492133,254536434,71803086,255477158,40165331,31480499,23983588,23983590,31480504,40165340,39385241,30783267,23358458,17089931,17089930,23358454,30783261,33433403,25664072,25664071,33433401,33433426,42425806,38458947,29902157,29902156,38458942,38595481,38459171,38459170,48360842,46389698,36529602,36529603,42425770,33433410,254536416,52829977,48510152,38595343,30022648,22649724,16458462,11467615,7627898,7627899,11467618,16458469,22649739,30022677,38595396,48510218,59903750,70798812,73079266,72644847,59903916,48510353,38595484,38595485,48510355,47662351,47662353,38595562,30022783,22649803,16458496,11467630,7627905,4826142,4826141,7627903,11467626,16458484,22649771,30022734,38595491,48510362,59903803,48510260,38595427,38595426,48510257,59903798,72644744,60339321,59743775,48360068,38458284,29901509,29901510,38458286,48360072,47158310,37253522,28722628,21466480,21466478,28722625,37253518,29179669,29179670,37740500,47662343,37740476,37740475,38458422,48360223,59743928,48941705,39018401,39018398,48941701,60339149,58081918,46710417,46710419,58081924,48941866,39018531,30429275,29894826,22539471,22539473,29894833,38451915,46834001,36955700,28455078,28455081,36955701,257425737,36955749,36955745,28455103,21228047,21228038,21228039,28455085,256847203,58200026,48359989,257000479,36828144,36828143,46710532,48941825,46896385,39018505,39018504,48941822,48976022,48976023,60372063,73111550,73111678,60372150,60372149,60522479,73267467,86879346,98377206,98377204,84468479,70912574,60522456,60522457,270285467,70912734,58263284,52537973,42179915,42179917,52537977,48012508,48012509,59400085,48941761,39018448,39018447,48941758,60339214,73079333,70798792,60372126,48976077,46896312,46896310,58263157,48976102,39054344,30464608,23056243,16809571,16809570,16899488,11826697,11826698,16899492,23160842,25473109,18872522,18872523,256129819,42179001,257791225,77577700,91508384,105732467,112358782,98377212,84468485,84468486,98377216,98464342,112454479,114901193,100850427,86869329,73256555,73256558,86869337,100850434,112098286,112098285,114743777,114743776,114743568,114743570,105737073,91513082,77581975,64413438,64413436,73452181,63250054,51533733,256599845,268720505,52539340,256645685,25473944,25473941,257791469,70978960,58263235,46896365,46896364,58263234,58263198,49105545,49105543,60509687,73256626,73111967,73111969,73452135,64415244,64415243,77584095,87169944,91513025,91513026,105736988,105739008,91515248,91515247,77584120,64415262,52540768,42181905,42181903,52540760,42181901,42181900,49105573,49105572,39175349,39175348,49105641,60509834,73256806,86869615,77584139,258407932,60509809,73116020,73116019,86721560,100696903,91512966,77581857,64413279,52539292,42180829,257201177,64413272,77581851,73115898,73115900,73111990,60372420,48976283,39054460,39054461,42180060,33220821,25473607,18872843,18872844,25473612,33220833,39054594,30464748,30464747,39054590,48976476,60372179,48976120,39054356,30464613,30464612,39054352,48976112,60372168,73111694,73115931,60375953,60375954,73115866,60375894,257002529,255957847,23057781,30466544,25472841,25472842,33219664,42178356,52535918,48976042,39054295,257002295,270110592,105733319,91509301,86019796,72422613,72422611,84540625,98462898,112453256,114881270,10083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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10197671, s2 = 14860311, dlinesl.size( ) = 2 s1 = 10197671, s2 = 14860311, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10197671, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 14101349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101349, s2 = 13564078, int(edited[s2]) = 0 s1 = 14101349, s2 = 13564078, d1 = 9, d2 = 10 Dl.O(d1) = 113077038,126930699,140278742,152968901,164798203,175546222,174665162,163847219,151978374,139271536,125922201,112087798,98127602,84232490 Dl.O(d2) = 46584325,46411220,36549547,268904355,46584298,36697726,36697727,28207226,256289331,36698021,36698022,36698008,256292451,28238029,36697757,256482270,28238037,21039662,21039660,28238035,28206875,21014191,21014192,15093042,15093041,21014401,28207101,256827781,46584833,256907278,36698042,28207255,28207256,36697615,36697616,256827765,36697708,36698211,28207373,28207374,36698212,36698074,36698075,36698213,36698214,36698215,28207384,21014597,21014598,28207378,24748793,21014262,15092884,15092883,21014259,28206951,28206884,21014497,21014496,28207251,28206880,21014197,255784460,20847264,15093003,15093002,21014365,28207068,28612225,28612224,37123017,47009908,57961178,46584668,46584667,57775479,57775461,269764323,70679626,70347210,57656951,50007873,50007874,57775462,70475187,70475195,258017385,57960772,47009895,257438981,37123036,37123035,47009934,57775477,57775478,258630523,258630521,70475197,84008842,88116734,98127576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101349, s2 = 13564078, dlinesl.size( ) = 2 s1 = 14101349, s2 = 13564078, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14101349, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 7958771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13365273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13365273, s2 = 14680262, int(edited[s2]) = 0 s1 = 13365273, s2 = 14680262, d1 = 1, d2 = 1 Dl.O(d1) = 256873494,47870587,38770516,30680375,30680376,35051813,44426379,37952450,29387645,22057339,22057338,22968619,30370094,28767190,23264061,17000419,17000421,23264067,22057306,15953388,11071503,11071504,15953390,22057311,29387613,37952417,47870450,59265893,60604900,59535774,48148811,39277655,39277656,39277631,39277632,37392285,37392287,47301494,39277366,30680431,23263819,23263821,30680433,37952437,47870462,49204203,49204063,39729823,39729822,35051810,35051809,44426374,256621336,58019814,46646521,36760656,36760657,46646523,38770468,38770469,37876091,37876090,38241181,38241182,30680790,23264131,23264129,26612701,26612703,23263984,23263985,30680614,38241289,38998895,38998896,38471279,38471280,48372903,49132437,39277563,37299571,36468705,28009674,28009675,36468707,46321679,49824785,49824783,49132425,49132426,46741066,46741065,38244962,29680141,29680140,256942377,59540074,48153767,48153768,47206523,40483889,40483890,256905806,38428602,29866684,22506337,22506336,29866682,23960046,17611828,17611829,21507057,21507058,28767247,37300101,29680110,22328671,16182513,15498605,15498603,255840767,37299934,29676807,256400027,29676809,22325736,255903707,36859717,28361546,28361547,36859719,29676815,29676814,29164357,22325826,22325825,29676910,37299737,255903709,16180154,11246542,11246543,16180157,255811265,36859721,36859694,29679974,268225001,11248270,11248271,16182444,22328576,28361624,28361623,36859790,37724165,36859501,36859502,37299752,28766862,21506787,21506786,21146104,15193287,15193286,21146101,28361646,22325823,16180217,11246593,11246592,16180216,15784082,10934678,10934677,15784079,16180147,22325729,29164271,29164333,21855622,21855621,21855629,15784065,10934669,10934671,15784070,21506851,21506852,28766960,36859835,30187051,22797591,16580714,11560830,11560829,16580709,22797584,28361235,28361234,28361590,21146063,21146064,28361592,31788975,38244938,43412480,43412481,46741195,46741194,46741387,46741341,36859749,28361565,21146036,15193240,10479541,6909397,4339454,4339456,6909401,10479546,15193106,10479454,6909356,6909358,10479461,15193116,15193153,255811237,36859388,36859733,28361553,28361552,36859731,46741198,46741197,38241334,38241335,36859540,28361389,21145890,15193145,10479479,6909368,4339443,4339444,6909370,10479484,15193158,21145909,19695425,19695424,22325552,16180004,16180005,22325554,29676629,28361249,21145773,21145775,28361254,22325556,22325557,29676632,38241414,34311085,26433199,19695063,255382567,10479551,10479552,15193254,21146050,28361428,21145931,15193172,10479490,10479493,15193131,10479472,6909363,6909364,10479475,15193134,21145870,28361367,29676672,31788958,31788959,26433140,26433139,34311099,28361471,28361345,21145852,21145853,28361304,21145818,21145819,28361309,28361264,22325579,22325578,29676651,25626554,19011726,13568892,13568891,19011720,25626542,33391646,29676593,22325529,16179993,16179992,16179970,11246409,11246408,11246427,16180002,14121512,9715446,9715445,14121506,19695014,26433145,29457069,22122981,22122980,29457064,28361478,28361479,28361466,21145964,21145966,28361465,36859605,36859427,28361271,21145859,21145846,21145797,21145796,28361282,36859439,28361312,28361313,21145980,21145981,28361492,33391634,25626537,25626538,33391636,42379774,42379791,42379780,42379779,52778524,48150428,38241361,29676581,29676546,25626535,22325534,22325535,29676604,38241389,34311119,34311098,34311096,43412422,38019093,29457080,29457081,38019095,46741243,46741244,58111330,55287211,44443222,35069143,35069144,44443223,53939367,43412438,36859442,28361285,28361286,36859444,46741099,52778516,64692582,77882451,72270963,59537146,258754619,60544471,59289939,53939346,256710953,34311095,43412419,53939342,66009751,72059254,59324814,58111214,58111215,49814255,49814256,61293913,59324863,59324862,72059282,71476397,257071734,47360331,47441605,58827765,60540388,60540387,61293899,61293900,72273645,59540104,48153746,47932965,38019129,38019130,47932967,59324832,58827757,47441599,37533665,37533666,47441600,49194539,39268373,30672181,23256199,23256200,30672183,39268378,49194544,49194554,47932978,38019138,29457117,22123009,22123010,29457120,38019148,47932990,59324855,60457933,49054083,39123980,30525752,30525751,31237628,30621437,23199694,16930589,11849464,11849463,16930585,23199684,17339594,12213420,8243913,8243911,12213412,13619278,9325728,6108791,6108790,9325726,12655594,9307530,7135354,7135355,10799338,13588249,13588251,13588233,13588232,13558515,9282660,6080733,6080732,9282658,8354309,8354308,12363673,17529799,268441179,256657767,25708370,25708371,31759480,29809570,29809571,31481315,23984615,23984614,19144641,19144644,22431244,19004556,13669670,13669671,11307669,7507764,7507765,11308131,9367132,9367131,11307772,16263871,18989032,18989031,24132319,24132320,22804450,16586924,16586923,17873729,12657291,8593401,5583559,3464215,3464214,3824164,3824163,6111854,9330585,13626211,19085478,25713482,256045055,17870890,12655241,12655242,17870892,17866113,12652017,12652016,12651987,12651985,8590354,5581895,5581894,8590350,8593677,8593675,12652654,255591835,31754782,30068083,22689172,16488751,16488752,22689180,30068092,30076942,30076941,38653676,46644563,49362535,39433325,36758709,36758710,39433342,39433317,30829397,23401481,17129003,12037825,8092870,5184890,5184891,8092874,12037835,17129020,23401421,30829298,36758794,28263344,28263343,28263416,21584401,21584399,28857484,37398373,46644444,36758769,36758771,46643855,36758310,28263054,28263053,36758306,31525854,31525853,36758901,30068058,22689148,22689149,22689167,22689168,28857467,21584392,21584391,28857464,37398352,37398403,43342023,39433016,30829145,30829146,31518427,39433093,48558422,39433139,30829243,23401386,17128948,12037789,8092852,5184885,5184887,8092860,12037796,17128958,23401404,30829266,39433170,49362418,47705109,37784334,30829106,23401315,255983045,30829105,28857509,21584416,21584417,28857511,256385062,28429025,28429024,36927684,38466362,38466361,48367846,38466390,29908845,256415157,48367869,39715508,31037958,31037959,255994334,40204822,31518453,31518454,31518657,267993052,24016831,17668316,12493967,8462489,5468264,3362884,3362885,5468247,3362877,3362876,3362937,3362939,5468347,8462584,12494183,17668617,17668739,17668738,17668752,12494283,12494284,17668753,17247561,17247560,23556672,31038745,39716173,38595916,30023243,22650214,16458804,14980972,10312983,10312982,14980970,20883585,22650150,30023188,38595875,254578246,30023190,22650151,16458759,11467828,7628012,7628014,11467838,12493962,8462432,8462430,12493951,17668300,24016815,17669838,17669840,24018590,24017007,24017006,20883601,14980980,10312989,6783595,4252468,2542240,2542239,4252466,6783591,10312974,14980958,20883569,28052482,31038110,24020291,17675200,17675199,24025538,31527696,31518057,24016543,17668091,12493813,8462315,8462295,8462294,12493783,12494022,17668398,17668052,17668053,24016469,31517973,31516731,31516732,31518159,31518161,30367162,22965576,22965574,30367157,24016821,24016822,31517888,31527684,31527686,31521698,31521699,40207549,38596575,30024216,30024217,24025668,17675311,12499291,8466837,5472644,3367365,1981207,1981206,3367356,5472628,8466818,12499220,12499221,17517941,17517940,17668134,12493834,8462327,5468072,3362705,1977146,1977147,3362711,5468087,8462351,12493883,17668232,24016733,31518131,40204584,31526236,31526235,40204679,31518269,24016719,24016717,24019130,17670263,12495502,12495501,17670259,24018494,17670047,17670049,24018844,24023597,17673726,12498135,8467147,5473023,5473022,8467144,12497367,17672925,17670247,17670250,22103816,29436451,37999196,31520513,24019100,17670243,12495495,254187790,3364191,3364193,5469595,8463814,8465335,5471184,3365938,3365935,5471177,8465321,8467081,8464598,8464599,8346109,7628643,4826570,2908590,2908591,4826575,7628655,11468792,12353225,11468882,7628711,7628710,5468903,5468902,8463137,254136402,17669718,17670240,17670241,17671499,17671502,21581841,15558032,10761284,10761285,15558034,21581848,24024644,24024643,24024683,24019017,17670174,12495442,12495443,17670179,24019026,22651452,22651453,30024248,38596593,31520437,31519724,24018154,24018153,31519722,24024690,24024689,24024615,24024616,31520851,31519247,29431003,29431004,29434242,22101756,15991667,15991668,22097784,15988990,11099623,11099621,15988984,17674653,17674672,16024290,16024289,17675366,17675364,24024532,17674564,17674563,22103887,16024271,11126064,11126066,16024277,22141923,17670933,12498919,11126038,7379689,7379688,11126021,11126020,16024218,22141873,29429635,22098328,17674618,12498858,8466581,5472453,5472454,8466589,12495788,8464071,8464068,12495782,17670612,267846208,22102897,15992583,15992584,22097793,15988996,15988995,254187604,17669079,24017704,24025709,17675371,12499322,12499323,17669051,254862936,11396308,11102891,11102564,7362813,7362814,11099615,15988972,16024197,15990867,11100883,7361771,7361772,11100886,11102477,7362764,254235132,2801314,4650692,7361143,4674474,4650302,4650301,4650798,2801427,1625031,923997,520884,291991,161530,88797,48816,48814,88788,161498,291902,520727,923718,254234803,2800543,254523227,11098485,15987285,22095544,29426322,37987691,47903336,59298033,72034329,85622845,259363780,99573530,113590198,119032083,104848171,258555684,76811109,90679793,104848174,269340352,81266021,258130700,98651256,258738542,85622820,99573524,113590187,113590185,113590186,261158047,153507214,165302310,173666905,261248418,152473242,259457802,112503482,98508034,268661862,58303281,268943816,84582726,98508032,258833638,258035919,58208912,70926276,84490575,98412256,112401512,126264553,139635390,152356184,139635394,139635393,152356187,164228922,175034745,164228923,262189422,112401516,98412260,98412261,259304147,71151369,58429863,58429864,58429858,47055234,37164397,28647841,21405867,21405868,256323199,47055238,47055240,37164399,28647843,21405869,21405870,28647845,37164402,47055244,58429867,71151373,84721056,98651247,112647681,112647682,126512168,139877685,271771167,112647689,126512184,139877705,139877702,126512181,112647688,112647686,126512179,126512162,126512163,139877682,152587136,273101065,175224069,164442957,153647601,153647602,140980387,127630951,113762196,99747897,85794218,72200387,59462865,255873134,29593077,22244357,16149183,16107534,11188369,7423700,7423701,11188376,16107550,16149733,16149732,22294768,29646013,22294001,16149155,11219398,11219399,16149157,16629020 Dl.O(d2) = 256873494,47870587,38770516,30680375,30680376,35051813,44426379,37952450,29387645,22057339,22057338,22968619,30370094,28767190,23264061,17000419,17000421,23264067,22057306,15953388,11071503,11071504,15953390,22057311,29387613,37952417,47870450,59265893,60604900,59535774,48148811,39277655,39277656,39277631,39277632,37392285,37392287,47301494,39277366,30680431,23263819,23263821,30680433,37952437,47870462,49204203,49204063,39729823,39729822,35051810,35051809,44426374,256621336,58019814,46646521,36760656,36760657,46646523,38770468,38770469,37876091,37876090,38241181,38241182,30680790,23264131,23264129,26612701,26612703,23263984,23263985,30680614,38241289,38998895,38998896,38471279,38471280,48372903,49132437,39277563,37299571,36468705,28009674,28009675,36468707,46321679,49824785,49824783,49132425,49132426,46741066,46741065,38244962,29680141,29680140,256942377,59540074,48153767,48153768,47206523,40483889,40483890,256905806,38428602,29866684,22506337,22506336,29866682,23960046,17611828,17611829,21507057,21507058,28767247,37300101,29680110,22328671,16182513,15498605,15498603,255840767,37299934,29676807,256400027,29676809,22325736,255903707,36859717,28361546,28361547,36859719,29676815,29676814,29164357,22325826,22325825,29676910,37299737,255903709,16180154,11246542,11246543,16180157,255811265,36859721,36859694,29679974,268225001,11248270,11248271,16182444,22328576,28361624,28361623,36859790,37724165,36859501,36859502,37299752,28766862,21506787,21506786,21146104,15193287,15193286,21146101,28361646,22325823,16180217,11246593,11246592,16180216,15784082,10934678,10934677,15784079,16180147,22325729,29164271,29164333,21855622,21855621,21855629,15784065,10934669,10934671,15784070,21506851,21506852,28766960,36859835,30187051,22797591,16580714,11560830,11560829,16580709,22797584,28361235,28361234,28361590,21146063,21146064,28361592,31788975,38244938,43412480,43412481,46741195,46741194,46741387,46741341,36859749,28361565,21146036,15193240,10479541,6909397,4339454,4339456,6909401,10479546,15193106,10479454,6909356,6909358,10479461,15193116,15193153,255811237,36859388,36859733,28361553,28361552,36859731,46741198,46741197,38241334,38241335,36859540,28361389,21145890,15193145,10479479,6909368,4339443,4339444,6909370,10479484,15193158,21145909,19695425,19695424,22325552,16180004,16180005,22325554,29676629,28361249,21145773,21145775,28361254,22325556,22325557,29676632,38241414,34311085,26433199,19695063,255382567,10479551,10479552,15193254,21146050,28361428,21145931,15193172,10479490,10479493,15193131,10479472,6909363,6909364,10479475,15193134,21145870,28361367,29676672,31788958,31788959,26433140,26433139,34311099,28361471,28361345,21145852,21145853,28361304,21145818,21145819,28361309,28361264,22325579,22325578,29676651,25626554,19011726,13568892,13568891,19011720,25626542,33391646,29676593,22325529,16179993,16179992,16179970,11246409,11246408,11246427,16180002,14121512,9715446,9715445,14121506,19695014,26433145,29457069,22122981,22122980,29457064,28361478,28361479,28361466,21145964,21145966,28361465,36859605,36859427,28361271,21145859,21145846,21145797,21145796,28361282,36859439,28361312,28361313,21145980,21145981,28361492,33391634,25626537,25626538,33391636,42379774,42379791,42379780,42379779,52778524,48150428,38241361,29676581,29676546,25626535,22325534,22325535,29676604,38241389,34311119,34311098,34311096,43412422,38019093,29457080,29457081,38019095,46741243,46741244,58111330,55287211,44443222,35069143,35069144,44443223,53939367,43412438,36859442,28361285,28361286,36859444,46741099,52778516,64692582,77882451,72270963,59537146,258754619,60544471,59289939,53939346,256710953,34311095,43412419,53939342,66009751,72059254,59324814,58111214,58111215,49814255,49814256,61293913,59324863,59324862,72059282,71476397,257071734,47360331,47441605,58827765,60540388,60540387,61293899,61293900,72273645,59540104,48153746,47932965,38019129,38019130,47932967,59324832,58827757,47441599,37533665,37533666,47441600,49194539,39268373,30672181,23256199,23256200,30672183,39268378,49194544,49194554,47932978,38019138,29457117,22123009,22123010,29457120,38019148,47932990,59324855,60457933,49054083,39123980,30525752,30525751,31237628,30621437,23199694,16930589,11849464,11849463,16930585,23199684,17339594,12213420,8243913,8243911,12213412,13619278,9325728,6108791,6108790,9325726,12655594,9307530,7135354,7135355,10799338,13588249,13588251,13588233,13588232,13558515,9282660,6080733,6080732,9282658,8354309,8354308,12363673,17529799,268441179,256657767,25708370,25708371,31759480,29809570,29809571,31481315,23984615,23984614,19144641,19144644,22431244,19004556,13669670,13669671,11307669,7507764,7507765,11308131,9367132,9367131,11307772,16263871,18989032,18989031,24132319,24132320,22804450,16586924,16586923,17873729,12657291,8593401,5583559,3464215,3464214,3824164,3824163,6111854,9330585,13626211,19085478,25713482,256045055,17870890,12655241,12655242,17870892,17866113,12652017,12652016,12651987,12651985,8590354,5581895,5581894,8590350,8593677,8593675,12652654,255591835,31754782,30068083,22689172,16488751,16488752,22689180,30068092,30076942,30076941,38653676,46644563,49362535,39433325,36758709,36758710,39433342,39433317,30829397,23401481,17129003,12037825,8092870,5184890,5184891,8092874,12037835,17129020,23401421,30829298,36758794,28263344,28263343,28263416,21584401,21584399,28857484,37398373,46644444,36758769,36758771,46643855,36758310,28263054,28263053,36758306,31525854,31525853,36758901,30068058,22689148,22689149,22689167,22689168,28857467,21584392,21584391,28857464,37398352,37398403,43342023,39433016,30829145,30829146,31518427,39433093,48558422,39433139,30829243,23401386,17128948,12037789,8092852,5184885,5184887,8092860,12037796,17128958,23401404,30829266,39433170,49362418,47705109,37784334,30829106,23401315,255983045,30829105,28857509,21584416,21584417,28857511,256385062,28429025,28429024,36927684,38466362,38466361,48367846,38466390,29908845,256415157,48367869,39715508,31037958,31037959,255994334,40204822,31518453,31518454,31518657,267993052,24016831,17668316,12493967,8462489,5468264,3362884,3362885,5468247,3362877,3362876,3362937,3362939,5468347,8462584,12494183,17668617,17668739,17668738,17668752,12494283,12494284,17668753,17247561,17247560,23556672,31038745,39716173,38595916,30023243,22650214,16458804,14980972,10312983,10312982,14980970,20883585,22650150,30023188,38595875,254578246,30023190,22650151,16458759,11467828,7628012,7628014,11467838,12493962,8462432,8462430,12493951,17668300,24016815,17669838,17669840,24018590,24017007,24017006,20883601,14980980,10312989,6783595,4252468,2542240,2542239,4252466,6783591,10312974,14980958,20883569,28052482,31038110,24020291,17675200,17675199,24025538,31527696,31518057,24016543,17668091,12493813,8462315,8462295,8462294,12493783,12494022,17668398,17668052,17668053,24016469,31517973,31516731,31516732,31518159,31518161,30367162,22965576,22965574,30367157,24016821,24016822,31517888,31527684,31527686,31521698,31521699,40207549,38596575,30024216,30024217,24025668,17675311,12499291,8466837,5472644,3367365,1981207,1981206,3367356,5472628,8466818,12499220,12499221,17517941,17517940,17668134,12493834,8462327,5468072,3362705,1977146,1977147,3362711,5468087,8462351,12493883,17668232,24016733,31518131,40204584,31526236,31526235,40204679,31518269,24016719,24016717,24019130,17670263,12495502,12495501,17670259,24018494,17670047,17670049,24018844,24023597,17673726,12498135,8467147,5473023,5473022,8467144,12497367,17672925,17670247,17670250,22103816,29436451,37999196,31520513,24019100,17670243,12495495,254187790,3364191,3364193,5469595,8463814,8465335,5471184,3365938,3365935,5471177,8465321,8467081,8464598,8464599,8346109,7628643,4826570,2908590,2908591,4826575,7628655,11468792,12353225,11468882,7628711,7628710,5468903,5468902,8463137,254136402,17669718,17670240,17670241,17671499,17671502,21581841,15558032,10761284,10761285,15558034,21581848,24024644,24024643,24024683,24019017,17670174,12495442,12495443,17670179,24019026,22651452,22651453,30024248,38596593,31520437,31519724,24018154,24018153,31519722,24024690,24024689,24024615,24024616,31520851,31519247,29431003,29431004,29434242,22101756,15991667,15991668,22097784,15988990,11099623,11099621,15988984,17674653,17674672,16024290,16024289,17675366,17675364,24024532,17674564,17674563,22103887,16024271,11126064,11126066,16024277,22141923,17670933,12498919,11126038,7379689,7379688,11126021,11126020,16024218,22141873,29429635,22098328,17674618,12498858,8466581,5472453,5472454,8466589,12495788,8464071,8464068,12495782,17670612,267846208,22102897,15992583,15992584,22097793,15988996,15988995,254187604,17669079,24017704,24025709,17675371,12499322,12499323,17669051,254862936,11396308,11102891,11102564,7362813,7362814,11099615,15988972,16024197,15990867,11100883,7361771,7361772,11100886,11102477,7362764,254235132,2801314,4650692,7361143,4674474,4650302,4650301,4650798,2801427,1625031,923997,520884,291991,161530,88797,48816,48814,88788,161498,291902,520727,923718,254234803,2800543,254523227,11098485,15987285,22095544,29426322,37987691,47903336,59298033,72034329,85622845,259363780,99573530,113590198,119032083,104848171,258555684,76811109,90679793,104848174,269340352,81266021,258130700,98651256,258738542,85622820,99573524,113590187,113590185,113590186,261158047,153507214,165302310,173666905,261248418,152473242,259457802,112503482,98508034,268661862,58303281,268943816,84582726,98508032,258833638,258035919,58208912,70926276,84490575,98412256,112401512,126264553,139635390,152356184,139635394,139635393,152356187,164228922,175034745,164228923,262189422,112401516,98412260,98412261,259304147,71151369,58429863,58429864,58429858,47055234,37164397,28647841,21405867,21405868,256323199,47055238,47055240,37164399,28647843,21405869,21405870,28647845,37164402,47055244,58429867,71151373,84721056,98651247,112647681,112647682,126512168,139877685,271771167,112647689,126512184,139877705,139877702,126512181,112647688,112647686,126512179,126512162,126512163,139877682,152587136,273101065,175224069,164442957,153647601,153647602,140980387,127630951,113762196,99747897,85794218,72200387,59462865,255873134,29593077,22244357,16149183,16107534,11188369,7423700,7423701,11188376,16107550,16149733,16149732,22294768,29646013,22294001,16149155,11219398,11219399,16149157,16629020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13365273, s2 = 14680262, dlinesl.size( ) = 2 s1 = 13365273, s2 = 14680262, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13365273, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 7973465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7973465, s2 = 11090655, int(edited[s2]) = 0 s1 = 7973465, s2 = 11090655, d1 = 6, d2 = 4 Dl.O(d1) = 7286327,254157748,7286007,7286008,254329274,16883529,16883530,23143605,29404064,268082330,15208594,11083989,11083988,15968562,21163118 Dl.O(d2) = 21161222,255019342,21161230,21161229,23142895,23142897,28379693,28379694,30246978,22852611,16627523,16627522,22852606,30246970,30557110,30557111,28380586,28380583,28380821,21163335,21163269,15206801,10489380,10489378,15206790,21163255,28380742,23139647,254492748,30721228,30721229,36433033,36433020,27974117,20810535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7973465, s2 = 11090655, dlinesl.size( ) = 2 s1 = 7973465, s2 = 11090655, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7973465, Dl.E( ) = 8, 8.82e-06 seconds used appending s1 = 9812607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8494537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8494537, s2 = 8437719, int(edited[s2]) = 0 s1 = 8494537, s2 = 8437719, d1 = 14, d2 = 18 Dl.O(d1) = 80855341,94919488,87388680,87388679,101372974 Dl.O(d2) = 24965712,18446980,18446981,18447198,13104217,8930900,5829125,3637294,2173381,1258715,1258713,2173375,3637288,5829109,8930882,13104189,18447044,18447043,18447208,24966031,32111320,32111321,40884672,36813555,36813556,32635510,32110872,24533886,18101021,12834218,8726903,8726900,12834215,18101013,24533870,32110846,24965724,24965725,32635489,32635481,24965716,18446939,13104048,8930809,8930808,13104043,18446935,18447056,13104118,13104119,18447057,24965864,18447184,13104209,8930894,5829120,5829116,5829114,5829105,5829106,8930871,13104162,13104183,18447136,13104167,13104166,18447086,18447087,24534417,24534416,32111324,32635500,32635501,41521563,36870000,36869998,46749360,40884380,32110862,32110838,32110837,40884359,33246270,25495661,25495662,24965972,24965971,32111077,32111075,40884542,51021526,40884278,32110742,24533773,24533772,32110739,40884271,40884515,40884514,32635793,24965994,24965993,18447176,13104203,8930889,8930887,8930863,8930862,13104149,18447103,24534121,24534122,18447124,18447123,24965948,32635546,24965771,24965772,32635550,41521556,32635493,32635492,28373095,21155830,21155831,18101017,18101018,24533879,32110866,40884384,32111048,32111047,24534173,24534174,32111081,24534127,24534111,18101192,18101190,24534108,32111052,40884274,48559506,38644286,30068937,22689862,16489258,11488749,7641345,7641346,11488752,16489262,13104195,13104196,13104142,13104143,18447093,24965901,24534115,24534116,32111067,32635737,32635735,32111029,32111028,32635799,32635798,32111135,24534186,24534187,24534191,24534190,32111148,32110851,32110853,32111118,24534169,24534156,18101213,18101211,18101232,18101231,24534132,18101199,12834323,8726960,8726961,12834330,18101185,18101184,24534101,32111039,38644273,30068930,22689852,16489250,11488743,11488744,16489255,18101314,18101313,24534286,18890734,18890733,24534382,24534381,32111055,32111056,40884524,51021612,40884445,32110954,24533976,24533975,32110950,40884437,32111130,32111129,38644280,38644278,32726585,32726586,32726595,25039248,25039247,24534194,18101239,12834350,8726976,5681140,3533863,2103297,2103296,3533858,5681134,8726969,12834341,18101218,24534144,32111099,32111226,32111225,30068918,22689840,16489240,16489242,18101325,12834385,12834384,18101320,24534290,18101417,18101405,18101404,24534385,24534388,32111300,32111017,32110956,24533986,18101101,18101100,24533983,24534141,32111096,40884449,32110958,32110960,25039244,18505193,13147417,13147418,18505167,18505168,18505173,18101147,12834296,12834292,18101139,18101080,12834258,12834259,12834305,18101162,18101173,24534089,24534266,18101290,18101291,24534041,24534040,32110991,40884473,32111614,24534769,18101783,12834712,12834711,13233454,13233451,18616800,16172604,16172605,18101398,24534375,24965939,24534031,18101129,12834285,8726939,8726938,12834281,18101123,18101833,18101835,24534821,32111653,25039238,18505186,13147414,8960853,5849052,5849051,8960848,13147408,18505178,25039228,24534847,18101858,18101859,24534034,24534035,25039293,18505230,13147441,13147443,18505234,25039296,32110918,24985431,24985430,32659249,40884942,41549450,41549421,40884934,40884933,33308020,25546442,25546443,268265014,256066172,24534869,18101881,268125554,32111664,32111663,32111698,32659221,32659220,32659238,24985406,24985405,32659233,41549432,32659202,24985379,18462971,18462972,24985384,32659210,32726618,25039276,21173699,15214600,15214601,18505224,25039280,25039279,28393311,21173723,18101854,18101855,24534841,25039251,25039250,32659323,32659151,24985300,18462917,18462919,24985304,18463100,13116133,13116134,18463103,18463143,24985629,24534864,18101874,18101875,18462968,24534827,32111662,32111695,32659226,24985399,18463041,13116093,8939157,8939156,13116088,18463025,24985451,32635564,24965779,24965778,32635559,32659162,28393282,21173705,15214587,10495115,10495116,15214593,21173714,28393295,32659180,24985363,18462954,13116101,13116102,18463055,24985480,18463062,18463064,24985507,32659329,24985579,18463107,13116137,8939173,8939175,13116143,13116170,18463149,18463073,18463072,24985376,24985375,32111656,32659352,41549537,51831942,41549457,41549458,41549468,33450389,27133400,24985467,18463037,18463036,24965781,18446986,18446988,24965787,32635572,24985458,18463031,18463032,24985460,21173709,21173708,27133435,32659186,24985350,24985351,24985494,18463052,18463050,24985486,256610245,41549560,32659379,24985545,18463085,13116120,13116122,18463091,24985558,18463121,13116149,8939180,8939169,8939168,8939191,13116097,13116109,18463068,24985517,32659344,41549529,47723745,58136428,58136429,47723769,44608490,35227595,27133396,20227415,20227414,27133395,32659436,41549624,50554694,50554695,58136420,46768670,36890379,36890381,37802571,37802570,37802422,37802423,37802444,41549603,44608537,46768663,41549573,41549571,41549492,41549491,32659367,24985538,24985539,32659371,35227605,32659427,24985592,24985570,18463097,13116130,13116129,13116162,18463138,24985509,32659335,41549511,41549522,37802513,268457394,21920490,21920491,24985643,24985642,32659490,32689286,32689287,37802615,47723804,591217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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113395, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11122258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122258, s2 = 8346705, int(edited[s2]) = 0 s1 = 11122258, s2 = 8346705, d1 = 9, d2 = 16 Dl.O(d1) = 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773,16683244,16683243,16681260,11643850,11643851,16681266,22914286,30314378,23810616,17476878,17476644,12321751,8322823,8322824,12321755,12321873,8322884,8322885,12321879,17476864,17476690,12321780,8322838,5370456,5370455,8322833,12321771,17476674,22916084,16683396,15660426,10841117,10841120,15660419,15670605,15670604,21713261,21713626,21713625,21713448,16683250,16011778,16011779,16683460,22917026,30314405,30314404,30317235,22916766,16683963,16683961,22917611,28998440,21713547,15670814,15670812,11645270,11645269,16683064,22916563,30316984,38903880,31296317,255949845,22917678,22916272,22916271,30316493,23810363,17476678,17476679,12321881,12321880,17476872,23810603,30316477,28998229,28983139,21700626,21700627,21713594,15670863,10848710,7172131,254745113,15670865,15928923,268236563,16683212,22916745,28998485,256332659,28773411,37307149,47213609,37307209,37307211,47213675,47213375,37306862,30324221,22923394,16689217,16689216,22923388,268652623,38894810,37307116,30304372,22905320,16673871,16673872,22905325,30304216,22905207,22905205,28773007,30331296,28772990,21511543,15501971,15501972,21511548,22930472,22914187,16696204,11656950,7768358,4921853,4921851,7768351,11656937,16696179,22930684,30304198,30304197,28772953,28772952,37306703,30331365,22930520,16696066,16696067,22930522,30331374,30331523,38918006,38890804,30304716,30304717,38890809,48813020,60209394,58602940,48812774,38890460,38890459,48812769,60209548,48838486,48812571,38890521,38890522,38915158,38918930,38918932,37306650,37306649,30304921,30304922,38891010,38918011,30331535,22930649,16696150,11656915,7768341,7768342,11656921,16696158,22930662,30331549,38890273,37856392,37856393,38891077,38891078,30332418,22931480,22931481,30332423,37307602,37307601,38891498,38917982,38917981,48813009,38891463,30305334,22906131,16674459,16674458,22906130,30304935,38891024,38917995,30331518,22930637,22930636,256450693,48838488,48839486,48837502,48837503,60231912,60231917,48837507,48837506,38917991,30331513,22930633,16696145,11656913,11656912,16696142,22930629,30331502,22931478,16696858,11657616,7769097,7769098,11657620,16696865,22931487,30332434 Dl.O(d2) = 29704394,29704395,29704502,38270242,29704163,29704165,22349915,22349916,29704572,30322134,38908998,48179399,38908872,34661365,34661364,43935096,53532326,43052418,33993521,33993520,43052411,38270640,29704457,22349840,22349839,29704451,38270629,40055028,31373756,31373757,39826305,31143891,31143892,39826312,48180030,59565880,54678053,43935472,34661682,34661679,38270470,38270468,29704604,29704603,37544186,38270576,29704416,22349817,16199379,11260856,7475587,4724498,2846638,2846639,4724505,7475600,11260882,16199447,22349931,26668829,26668827,26668997,26668996,34661443,43935174,39826268,39826267,43052420,34581997,26668846,26668845,34661411,37375221,37544147,38270534,38270535,38546543,38546542,48458868,59849616,59565847,48179980,39826216,31143826,23656786,23656787,31143830,31143877,28998898,28998897,37544236,37544205,37544203,47452105,38270450,29704321,22349759,16199342,11260827,7475577,7475576,11260824,16199335,22349746,29704294,29704593,26668762,26668751,26668753,26669001,26669002,34661642,30412412,26594867,19789403,14174880,14174878,19789389,26594838,26669158,34661859,30322494,30322492,38909459,39283949,39283948,37544137,37544138,39826251,31143845,23656798,17340023,12213841,8244309,8244310,12213846,17340035,15671075,15671076,21713912,28998857,37544171,47452080,43935101,34661757,29704303,29704304,34661788,29704257,26669126,26669125,30318836,38905618,34661885,34661882,34661881,30318846,30318845,38905629,38905637,39001883,39001882,37375141,37375143,43853519,37325985,28789580,21525485,21525486,16687737,16687739,22921753,30322502,23270142,23270139,30686857,34661748,34661747,31143839,26669142,23656791,23656790,23656803,23656804,31143851,28998836,28998835,28998848,34661539,43935304,43935555,34661767,26669086,26669084,34661709,26669049,19852802,14223096,14223098,19852811,14223146,14223147,19852890,22918398,16684760,11646658,11646657,16684755,22918389,30318870,26668905,26668904,34661490,38912672,38912671,40424522,47234796,58627563,48830940,43935253,34661510,34661511,43935256,40422968,31729554,31729552,40422961,50460384,59766367,61333051,61333052,50548268,40512356,40512357,34661534,26668926,26668925,34661532,257098816,40422936,50460359,257137430,72269316,59535285,48148302,38238937,29673909,22322731,22322732,29673911,31729667,268619890,31690584,31730005,30660884,23242759,16975226,16975227,23242763,30660891,39256666,48517960,38603208,38603209,32791816,25093284,18546920,13178150,8982948,8982949,13178157,18546939,25093315,32791858,30661076,24222808,17851512,17851509,13308015,9089365,9089364,13308010,18701162,25273474,24222191,17851113,12641866,8583687,8583688,11888037,7948073,5577636,3460552,3460551,5577629,8583717,12641918,17851206,24222326,31730245,40423803,50461214,61957115,74756964,88390676,102391031,98868983,84942135,71365491,58628707,58628705,71365486,84942128,258897936,84942136,98868985,84942142,71365495,58628711,47235855,37326930,37326929,47235853,58628702,47235846,37326922,28790403,28790404,37326924,46792914,37779776,31601530,24097362,17738716,17738719,24097371,31601539,40286451,268264736,60751153,53721323,43209459,43209458,43409809,34308420,34308419,34308526,34308395,26430495,19692637,19692616,14119658,14119656,14497492,14497487,20204074,27104109,255782803,20818331,26430483,19692631,19692634,19692589,14921284,10260424,6742375,4224928,4224929,6742378,10260429,14921295,14921358,14921357,20818434,27982446,20818376,20818375,26430620,34308375,26431132,19693184,14120103,10260448,6742389,4224933,2526266,2526263,4224930,6742380,10260431,14921296,14119991,9714408,9714410,14119587,14119619,9714166,6390701,4010669,4010670,6390705,9714170,14119620,19692569,26430410,34308311,43409718,34308781,26430844,19692916,14119867,14119868,19692911,26430832,34308771,43410116,43410117,43410275,53937345,53936972,53936971,66007526,66007957,66007956,66010586,66007663,66007548,66007547,66007575,79375863,70712723,70712722,57995926,258020487,57995889,70712726,258483573,53937142,43410061,43410060,53937140,57995838,46619662,36731627,28237096,28237097,36731630,46619665,57995847,70712687,258020483,256831019,36731638,46619677,57995875,70712710,84264020,70712768,70712769,79375885,79375947,72940957,60202206,48805862,38883853,30298361,30298362,38883856,48805867,60202213,70712652,57995819,57995818,57996024,46619790,36731696,36731695,46619788,57996021,70712675,57995835,53937119,53937118,57995829,46619656,257410473,70712660,84263986,98157868,98157883,98157852,84263962,70712635,70712636,70712794,70712793,84264092,83846668,269760173,256524268,257653946,97706130,99444006,97706321,97706320,258262860,258885424,70320925,83846755,97706221,98978015,85053049,71481767,71481766,85053046,98978010,112967067,126820800,140170553,146307157,133079728,133079727,271749837,97706225,258698547,71481856,83846804,95273548,95273547,95273546,95273545,85053051,71481769,58753304,47367598,47367601,58753314,71481789,85053080,98978058,112967113,113806959,113806958,112967020,112967021,126820775,126820873,112967189,104881202,90711369,76840916,76840914,90711365,104881196,100848102,86866827,73253910,73253911,76840909,90711357,87920953,74317767,74317766,71481913,58753419,58753418,257293732,41625160,51927944,58753544,58753541,47367865,37462504,28922938,28922939,37462506,47367866,47367511,37462220,37462221,47367513,47367950,47367296,37461976,256342535,21647425,28923011,28923013,28922416,21646999,15614122,10803250,7138446,7138448,10803260,15614141,21647026,28922453,37461961,37462297,37462099,28922848,28922849,21647405,15614378,15614379,15614381,15614380,21647407,28922842,21647310,21647311,28922844,37461952,37461953,47367278,58753052,47367368,37462054,28922528,28922527,37462053,37462476,28922908,28922907,37462085,37462083,28922572,28922571,37462080,28922623,21647156,15614231,10803319,7138521,4494514,4494513,7138519,4494521,4494522,7138538,10803283,7138461,4494488,4494489,7138466,10803287,15614173,21647069,28922507,28923042,37462283,268388663,15614279,10803340,10803336,15614271,21647230,21647395,15614368,10803389,10803390,15614372,21647158,255850209,256883919,58753173,47367967,47367966,58753201,58775767,63889984,63889985,67187413,67564301,61881505,61881506,61881456,50391772,50391775,50391798,40356844,31661775,24151193,24151194,31661781,40356852,50391805,61881494,74673617,84399034,70841837,58127406,58127407,58753248,71481733,257701086,60672520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122258, s2 = 8346705, dlinesl.size( ) = 2 s1 = 11122258, s2 = 8346705, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11122258, Dl.E( ) = 18, 3.1e-05 seconds used appending s1 = 1430377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7850960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15941175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13328429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13328429, s2 = 8684979, int(edited[s2]) = 0 s1 = 13328429, s2 = 8684979, d1 = 13, d2 = 9 Dl.O(d1) = 3649164,5847497,5847502,8958650,255240019,18501053,25034271,25034272,32720909,41626872,51929502,63738783,63738782,52562056,42202174,33241210,256131097,18887394,256131095,42202173,52562055,64437137,77605935,91535792,100327464,259208678,60033619,60033620,54405777,43717853,43717851,37254154,35953308,35953305,45613884,39661005,39661002,49659599,57629936,46285143,36432011,36432013,42321250,34902662,34902664,34903382,34903384,34903676,26839242,19968381,19968379,26839290,34435344,43621434,39542051,39542054,44127707,44127704,43527102,43527098,257437746,37086919,256319256,28582210,28582209,256319254,21352519,15376225,15376224,21352518,28582211 Dl.O(d2) = 2649394,2649395,4417118,7023308,10638784,15393721,21374880,21374879,255829751,37120110,47006317,58376618,58376619,71092808,84655387,98578679,97983793,84108901,84108900,71052202,71052203,71888827,70572249,57870700,57870699,65515745,55441140,55441139,258739439,59346395,47955149,38041654,29478629,22141399,16023868,11125746,11125745,16023867,22141398,29478628,29478630,38041656,47955147,47955146,59346391,72080118,85666661,99615478,99615479,99615480,112209573,259275463,70764674,70764673,84323915,98231316,112209570,126065946,139437542,152162416,164040976,174859375,184471447,192871868,187490666,178280045,167842445,156253379,143726714,130400774,116560786,102461704,269325026,72416738,59681939,48295594,38385339,29812871,29812870,38385342,32598777,32598776,30909247,23473720,23473718,30909243,39518266,46592171,49942722,44369892,255632362,60433187,55416738,44569507,35191375,27102447,20202634,14496421,9974639,9974640,14496423,20202636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13328429, s2 = 8684979, dlinesl.size( ) = 2 s1 = 13328429, s2 = 8684979, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13328429, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 6460361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8122276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14185083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14185083, s2 = 14028688, int(edited[s2]) = 0 s1 = 14185083, s2 = 14028688, d1 = 0, d2 = 0 Dl.O(d1) = 39974301,49990359,43403227,34302062,32336137,32336136,26423985,19686794,14114681,14114683,19686800 Dl.O(d2) = 39974301,49990359,43403227,34302062,32336137,32336136,26423985,19686794,14114681,14114683,19686800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14185083, s2 = 14028688, dlinesl.size( ) = 2 s1 = 14185083, s2 = 14028688, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14185083, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7954555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9798107, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14083763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1123246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7952131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14047206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047206, s2 = 8254133, int(edited[s2]) = 0 s1 = 14047206, s2 = 8254133, d1 = 16, d2 = 19 Dl.O(d1) = 264633267,265296699,265793627,225504143,223254781,223254780,225504145,227461285,229173215,229173214,227461283,265705956,223254778,220653507,217595491,265097181,223254776,265643121,265648616 Dl.O(d2) = 269298262,256820406,256605057,32569227,256605063,31569682,31569683,40257189,50278327,50278322,50278323,40257266,31569768,24064177,17708789,12526693,255191799,24064180,31569769,40257181,257399432,32569225,41429417,256820410,40257261,32569212,32569211,41429403,51600483,41375544,41375545,51600484,51600463,51600462,63324023,63324030,63324031,51600490,51600486,41375546,32526311,32526312,268722841,32526270,32526271,32526272,41375515,36590122,32562786,24911103,24911104,268673455,17281727,12160610,8190749,8190750,12160612,17281729,23593953,31077243,257047571,39073853,30480753,23069581,23069582,24882756,32526317,257087027,257087029,256091537,24882375,24882378,24882543,24882541,18384316,18384315,255630987,18384263,18384264,24882663,18384319,13058479,8898299,8898300,13058481,18384383,13058507,13058506,18384402,24882769,24882365,18384026,18384027,24882366,32525981,24882701,18384318,13058434,8898267,8898265,8898479,5806606,3621791,3621789,3621702,2162695,1251240,711210,401360,401363,711219,254199771,3621737,5806501,8898330,8908726,268134465,24882723,24882722,32526282,41375524,257155029,32526307,24882750,24882699,24882698,24883126,18384694,18384693,24882492,24916257,268476583,13058502,8898322,254433753,254433755,8898324,8898198,8898197,13058294,18384148,13058290,13058289,18384146,24882484,32526040,32562701,32526051,24882497,24882493,24882494,32526049,257155015,63323893,51664460,51664461,51671081,51600261,51600262,63323891,51664471,41422519,41422520,51664473,257157435,41422508,51600481,256602239,32526308,256604489,51664466,63407832,51671079,51671078,51671077,51671076,63324027,76355348,270484685,76451821,63407827,63323889,60752490,60752491,63324037,63324036,76355351,73501423,60752451,60752452,73501426,73501437,73501438,87120219,73501471,73501472,258983172,76355381,63324079,51600536,51600535,63324077,63129718,51432090,51432091,63129724,73501422,87120204,87120203,76355288,63323924,51600309,51600307,63323921,74903726,62100338,50601761,50601759,41233927,32409042,24784281,18302606,12991647,12991648,18302610,24784286,32409050,41233946,257735353,259602395,76457068,63413661,63413660,76457067,76355393,63324100,51600558,41375594,41375595,51600540,63324087,76355388,78430284,78430283,92466563,259610416,270472535,63129604,258975103,76815310,76815311,90683697,92466561,78430279,78430278,92466557,106772283,121026103,118520188,104336184,104336183,92466565,78430286,65148204,53163706,42713941,33683901,33683902,42713943,53163710,65148209,78430289,76815313,63714308,258369417,78430277,259699493,259623435,76815317,63714311,63714310,74565140,88179587,102169891,102169889,88179583,258281035,61781981,74565125,88179584,74565142,61782007,50302695,256541551,24094453,17736351,17736352,24094454,25019703,18489521,13135748,8952471,5843288,5843287,8952469,13135744,18489516,25019694,31598109,31598108,24094472,17736360,12549248,8508378,5508880,3397431,2002905,254276839,3397471,3397470,3397415,2002882,2002884,2017120,1153950,647362,647037,647038,1153328,254278421,1168854,656018,656019,1168855,1315207,750629,426580,426578,750620,1315187,2266976,1315079,1315080,1766580,1315371,1315372,1155395,1155393,2019381,3419668,3375498,3375496,3414597,2015478,2015476,1996617,1996618,3388936,5499307,8497918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047206, s2 = 8254133, dlinesl.size( ) = 2 s1 = 14047206, s2 = 8254133, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14047206, Dl.E( ) = 26, 2e-05 seconds used appending s1 = 14846073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13360577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14898457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14898457, s2 = 14157921, int(edited[s2]) = 0 s1 = 14898457, s2 = 14157921, d1 = 17, d2 = 11 Dl.O(d1) = 255593864,60851717,50508790,40473511,261324240,28349863,28349862,29957454,29957455,38522449,30044581,22669081,16473421,11477822,7634066,7634065,11477819,16473417,15158880,15158879,21103477,25856057,21103465,21103466,18821245,254509656,18997066,18997067,25609839,21069352,15134259,10438094,10438096,15134265,21069355,22592888,22592889,29705676,22350807,16200096,16200095,22350803,28999141,21714169,15671260,15671257,16409767,12073973,8119071,5201370,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,15682675,15158813,15158814,21103410,21103279,15698848,10867666,7185400,7185401,10867672,15698864,21752108,29045082,33153690,40440332,40444194,31749630,31749629,31751240,40433030,31738701,24229621,17856918,17856919,24229603,31738657,37590467,37590464,37575219,31744307,30717823,30717819,39316246,40438701,50475718,58873719,47493117,47493115,58541063,48093308,38181617,38181618,48093310,40440689,40440688,50477554,58873576,58864916,47482897,37577165,37577164,47482892,58864910,60210357,48814108,47475251,37569444,29022936,29022937,37569450,31746214,24235559,17861084,12648346,12648344,12648353,12648355,17861098,24235596,31746274,40440846,50477728,48162491,38253290,29688099,22335571,16188023,11252412,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033429,29033427,37580751,47468557,47475438,37569593,37569594,47475443,58853265,50480830,50480831,59482770,59482769,52460816,52460818,256349896,37561300,37561301,47468177,38443575,29887315,22533090,17167603,12071116,12071114,17167589,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,255460207,29614687,38181676,48093395,59482896,72219934,72220034,72672239,85161073,257451288,61965455,58858914,58858912,71583064,74770376,61973115,61973113,71581985,58857607,47474543,47474544,58857608,71581987,71587189,255423390,47481559,48540232,48540231,58857628,58857626,47493493,47493490,58873957,59483115,59483114,59815011,64328494,52460707,47486152,37580797,29047006,29041742,29041743,37570532,29023809,29023811,37556696,31739958,31739955,36651147,46518170,37580732,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737926,21724725,21724724,29011850,36810430,31746128,24235519,24235518,29033269,37580562,256893198,255858980,268076394,47409185,47494313,255858978,48539896,38625213,38625214,47482619,268621679,21738834,21738835,29029623,37576809,47482622,39473225,37557439,254746788,39473296,39473298,31746720,31746721,40438174,31743945,24233897,24233899,31743949,40438180,50475144,50475128,50475126,50481800,256550978,71587120,58863751,47481449,37575652,29028584,29028583,37575650,47481444,40446333,31751393,31751391,40446330,40439886,40439885,48539810,38625118,30051247,22675365,22675366,30051251,38624986,30051147,30051148,31072825,23589533,23441514,21733985,21733986,24235268,17860943,12648283,8587686,8587685,268119231,24235261,31745673,255200832,24238582,24238581,255200830,256043536,48093385,59482886,257474120,74766219,74765749,61973110,50480407,40443979,31749455,254615452,12649990,8588881,5580946,3462703,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650080,12650398,17863858,24239110,24239223,24233565,17859716,17859715,24233559,31743558,31744223,24239313,24239316,24234124,24234129,31744285,40438631,40444620,40444619,47780575,39710020,31032985,23551725,23551727,23631228,23631231,22263817,16123241,11200035,7431562,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728987,61207482,50467704,40429802,31735650,31735647,36767171,255424384,70738354,84289939,257474116,269323176,71586847,58863304,47492926,37588446,37588445,47492923,58873281,50476045,268213012,58833902,58833901,60830727,58024116,46651745,36767073,28272145,21069282,15134278,10438100,10438103,15134297,17859152,12647333,8587103,8587101,12647361,17859462,17856632,17856628,24229143,31738072,37561270,37561271,29017409,29017412,30869770,23441380,17167557,12071097,12071096,17167549,23441358,24239856,31751556,37585433,40440132,40440131,47490384,40441236,40441237,40440773,40438185,31743953,31743954,37556992,29010776,29010775,37556986,47464299,58849109,58863301,48093110,48093109,59482606,72219777,85151298,270820025,72672203,71553884,58825867,58825866,256892060,49283615,39356572,39356570,37557335,37557334,42107951,47464749,38887487,30301568,29938430,22575498,16392578,16392576,22575489,29938408,38502013,33153816,25412694,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033411,29033413,37580719,30580548,30580549,39178412,47498881,58878850,71553863,58877698,58849093,47464288,37575412,29028427,21737957,15688483,15688484,21737962,21130386,21130384,28342595,28342597,36839316,38502060,38502062,48407938,59792852,58873245,58873246,71594892,59180014,59180013,62212019,58869565,47488124,255423184,47471354,58855519,268390604,88401143,74768545,61970753,256351070,40440566,40272626,31585647,31585646,40272622,50293975,50482271,50482272,47489146,37584145,29036692,29014835,21727037,15680846,10855881,7177271,4521299,4521300,7177273,7177371,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728987,61207482,50467704,40429802,31735650,31735647,28272207,28272210,31749949,24238663,24238662,31742590,24233137,24233139,31743041,40437268,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,17859152,12647333,8587103,8587101,12647361,17859462,17856632,17856628,24229143,31738072,37561270,37561271,29017409,29017412,30869770,23441380,17167557,12071097,12071094,17167537,23441321,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,31738057,40432230,256351476,256891414,60210564,60210565,256349516,71576256,58850158,58850157,47485130,256352131,21741061,21741060,29032370,37579632,47485120,58866896,50482336,40445959,40445960,39356563,30755773,23333083,23333082,30755768,39356553,49283593,60684652,71575808,74767661,74767662,74765388,61965262,50469803,40432107,40432106,50469799,42625593,33601067,33601069,42625603,47780402,59179627,61969592,50482013,50482014,49728543,48093528,38181811,29614785,29614786,37556390,37556394,37566847,39825202,39825203,31742716,31742715,40436846,47468868,47295986,37386631,37386635,47295996,38067162,38067164,31740490,31740494,37386442,47295690,47295814,47468603,37561673,37561675,31750888,24239372,17863995,17863999,24239388,29549411,29549410,38112228,48021764,59408295,61971321,50478198,47478368,47478369,58860876,59179957,50468219,50468217,50473441,50473442,50499576,47492297,37587865,29040326,21747892,21747893,29010199,33332187,25572447,18963422,18963423,25572453,33332200,42312526,52699614,50472127,47296054,37386679,28846399,24230965,17857814,12646318,12646313,17857805,21574406,21705001,28988772,37533515,47441415,49777902,47295796,37386496,29549428,22205787,256931501,47764024,37841332,37841334,47466253,37559293,29274575,29274577,37841129,37841114,37841116,47763765,51094498,40951284,32171860,24585951,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755561,52069389,58857754,58857756,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,21736860,21736858,29027071,32834375,25129289,25129291,25129162,25129158,32834159,41755147,39393970,39393971,32834588 Dl.O(d2) = 23630590,17314745,12190221,8220477,5290419,3241860,3241863,5290427,8220494,12190264,16250636,22415656,29781041,38353650,42419183,38520082,29955243,22591203,16408623,11424992,7594614,7594617,11425000,16408636,22591224,29955270,22592900,22592901,29957345,38409246,48319992,52069248,41755443,32834418,32834417,33511703,25732553,25732554,27141422,20233550,14519230,9990555,6566117,4113407,4113408,254361886,13486644,18917875,25527441,29955079,38519917,48427547,44619441,255422290,39130754,30532136,23813689,255173083,254401659,1942966,1109961,622912,346190,346193,622918,1109970,623103,346309,189912,103712,57032,57034,103718,254089433,623126,254185341,1412449,1395298,793527,254151871,267760301,425039,425038,747942,726341,726342,793564,449417,449416,793567,1395357,2411252,254313211,3302288,2189678,2189679,3659941,5862381,6414136,5867635,3663429,3663428,254295009,254639233,5867822,3663639,254201807,1272988,802836,802835,728019,414250,233952,233953,414253,728025,1273537,2193124,1428837,1428836,1272334,1272333,254201961,746015,746017,454947,256375,256374,254116607,726853,413436,413437,726855,1271912,1411378,1395772,254115959,449691,793924,728323,254093115,129183,129184,234147,414236,233945,129032,129031,233940,414231,727996,1273506,728206,447940,252026,139100,75840,41096,41095,75836,139092,233136,233135,413002,726285,726987,413547,233516,128765,128764,129489,70199,70198,267738787,415175,729165,803385,794381,794382,738205,738206,1293499,1293501,738210,419571,236758,130605,70785,38261,38264,70792,130617,236772,142163,77934,42492,42493,77937,142173,256669,239495,239493,424208,254204505,3760816,254921939,8593973,5583924,3464423,3464424,5583926,8593974,9098007,13317452,13322389,9102318,5955722,5955721,9102315,13322387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14898457, s2 = 14157921, dlinesl.size( ) = 2 s1 = 14898457, s2 = 14157921, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14898457, Dl.E( ) = 18, 2.19e-05 seconds used appending s1 = 11043374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11043374, s2 = 6967869, int(edited[s2]) = 0 s1 = 11043374, s2 = 6967869, d1 = 56, d2 = 70 Dl.O(d1) = 269833556,72550055 Dl.O(d2) = 260720847,261835953,262814985,177864984,167368598,155734425,155734424 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9807889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349659, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11042298, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6636743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9749871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14909503, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7865012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7865012, s2 = 7887117, int(edited[s2]) = 0 s1 = 7865012, s2 = 7887117, d1 = 4, d2 = 13 Dl.O(d1) = 5080160,3081412,3081271,3081270,5079214,5079212,7980673,7982921,5080698,5080699,254818979,7972266,7972267,11917494,16714748,11672961,7781981,4932449,4932447,5079878,5079877,254378733,1795927,1024677,577403,323047,323046,577400 Dl.O(d2) = 5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016549,1782575,3058161,5048034,7937825,11874559,12011406,8069417,5163801,5163800,7971634,5072384,5072383,7971629,11916814,254568696,16963591,11875511,7938611,7938612,11875512,11875517,11877057,7939886,5049692,5049690,7939858,7939860,11877009,7979474,7979473,7986808,5083104,3082967,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329611,590964,1050672,1841156,3147472,5165079,7948658,7987338,5083466,3083221,3083223,5050746,5050747,4531404,2723878,1785105,1017938,1017940,1785117,3062417,5055048,7948691,8348104,8348106,11253570,8350459,8350460,11883478,7944651,7944650,10835149,7162356,4511003,2710659,1570357,1570356,1570318,892855,892856,1570301,1570386,892883,892882,1570381,2710713,4511097,4737208,2855066,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315453,3315162,1950203,1114124,1114123,1950197,3315149,5391215,8352617,11935028,255144954,8354084,12363376,17326066,12200742,12200741,17326063,23642783,23288698,17029335,17029334,254822770,39302562,40890082,268691789,12679671,8611618,8611619,7370284,7370285,11112665,16006801,15825345,15825343,21000046,15084330,15084329,21000044,28182938,36659516,29221245,22120946,16007169,16007168,22120944,28182986,21000099,21000100,23626519,31113033,37848822,29281002,21956103,15864338,15864335,20988842,28169236,21350596,15374608,15374607,21350592,22146471,22146472,29484776,24518075,18087128,18087129,24518082,28526819,21304870,15335714,15335713,21304866,28526811,37024812,38022809,42135148,42135149,52492052,46512267,36644641,28169272,28169275,28169265,20988869,20988868,28169260,23023790,23023792,23023756,23023758,30429348,39018614,39018650,37848631,37848634,38999882,38999883,36644582,28169222,20988837,20988838,28169227,28169232,21350583,21350584,23023811,28580042,37084526,40863605,32092471,24518100,18087136,12822725,12822726,18087142,24518107,28526803,21304862,21304861,28526799,37024794,39018695,39018696,48941995,52492046,59170797,59170771,47771753,47771752,50997516,50049628,257580893,48942467,48942060,48942061,48942009,39019302,39018720,30429445,23023826,16782604,11734395,7834424,4973043,4973045,7834430,11734414,16782641,23023880,30429533,37084542,37084543,46965790,48942003,39018704,30429433,23023817,23023816,16782733,11734465,7834459,7834457,11734458,16782721,23024007,29596788,38163382,46794068,48942217,46997444,37111964,28602879,28602878,33980180,30429740,30429741,30429658,23023967,16782696,16782698,23023973,30429670,39018754,30429482,23023848,23023847,23023948,16782682,11734433,7834444,4973052,3003690,3003691,4973056,7834448,11734438,11734522,16782846,16782657,16782659,23023913,30429576,39018823,30429554,23023893,16782650,11734483,7834469,4973063,4973062,7834467,11734478,16782754,23024046,30429767,39019066,46794077,39018905,36916282,36916283,39018833,39018834,48942109,48942169,39018936,30429640,23023960,23023961,30429463,23023842,16782613,11734399,11734401,16782619,16782856,11734531,7834491,4973073,3003700,1744356,1744355,3003697,4973067,7834481,11734510,16782825,23024173,30429453,28602944,21369367,15389359,15389349,15389350,255829347,28602939,28602940,35115788,27029160,27029161,24778995,18298494,12988587,8842223,8842224,12988592,18298501,24779008,32402928,41227089,46935871,37057512,28556860,28556861,28602656,28602655,21447727,21447728,28699744,37225659,46997549,58367595,60339633,58718267,47329622,37421291,28879432,28879433,37421294,46997536,37112052,37075665,28572542,28572541,30429835,23024093,16782781,16782780,23024091,30429833,39019142,46997188,256327631,28699785,37225699,47123400,47123381,37225671,28699754,256105534,23881067,23881068,23881159,17535262,12367714,12367715,17535265,23881166,31377906,37111866,37111865,37077022,37077020,37111902,30411242,23006349,23006348,30411240,39000375,46997355,46997354,257595637,39227179,268659565,23206730,16935921,16935922,23206732,30629565,30629598,30629431,23206631,23206630,30629428,39227051,30629183,23206405,16935718,11852995,11852994,255137827,7922062,5036493,3049422,1776516,1776515,3049419,5036490,7922057,11853025,16935769,23206481,23206478,30629274,30629198,23206415,23206414,30629196,39227053,30629358,23206548,16935802,11853040,7922067,7922069,11853046,16935816,11853055,7922071,7922072,11853061,16935849,23206624,30629422,30629314,23206509,23206508,23206652,23206651,256470401,39227142,39227143,49153547,58879854,58879855,71600179,62618349,50997030,50997029,60552882,49153545,39227141,268970053,73295974,258883502,47500212,37596251,37596252,32092034,24517763,24517734,18086875,18086874,12822598,12822376,12822374,12822608,18086928,23855315,17512130,17512131,23855325,31349355,40029776,39802264,31122076,23636042,23636041,31122070,39802256,36935188,28436233,28436232,36935182,32092065,32091522,24517394,18086637,18086636,24517387,32091513,39227266,32092009,30691805,23277065,17018883,17018884,23277072,18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,2100479,1209385,1209383,2100466,3529467,5674591,8717766,12822401,18086574,21080481,28286498,28183443,22121339,16008337,12510787,12510786,17689120,24041068,29455355,254604130,16007597,22120586,16006844,11112698,11112699,16006846,12512044,8476386,8476385,255190471,24042663,28183208,29221633,268226008,16006974,16006975,16008191,16008192,22120623,21080474,15142194,10443492,6884725,4321854,2585295,2585294,4321850,4656460,7370982,11113642,16007959,16007942,16007941,16941437,23213070,28183238,21000362,15084568,10404444,10404443,15084566,10966553,10966554,15825139,17691438,17691439,255888384,7703874,7703875,11573850,16594915,22812969,22324337,22324336,28818177,37357864,47267833,256384300,48738494,256442109,16619503,11592660,7716879,4884262,2943109,2943110,4884264,7716883,11592669,10310074,6781264,254322921,1464093,254218579,4250766,6781259,6800967,5920797,254640557,13271397,10306871,9083038,5940865,5940866,4587376,4010122,3702334,3702335,5920899,4259194,2546261,2546259,4259202,6767696,10294369,10367635,254909727,5927088,5927089,9064561,13280302,18672266,14948210,14948211,14972200,10304476,10304477,258624833 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8129665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8129665, s2 = 9803636, int(edited[s2]) = 0 s1 = 8129665, s2 = 9803636, d1 = 6, d2 = 6 Dl.O(d1) = 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59962,15702431,255425065,29051261,256895229,258084753,37599235,29051249,21757073,255052907,10870047,255425063,29051257,37599249,46897291,37018697,28520572,28520573,36996431,36996432,36996002,36996003,255028090,46897458,37018941,37018942,46897459,46874585,36995968,28498555,21280894,15318179,10580021,6979346,4385098,2626802,2626803,4385101,6979353,4385232,2626918,2626917,4385228,6979513,10580244,10585952,15326716,21284082,21280272,15317723,15317724,21280276,21281884,21281883,21281126,21281127,15326982,15326983,15318405,10580192,6979490,6979491,10580198,10589196,15320172,10581502,6980510,6980511,10581506,10579653,6979079,6979078,6985311,6985212,4389233,4389232,4389259,2629804,2629803,4389295,6985323,10589219,15326702,15318844,267763858,6979400,4385138,4385137,6979398,10580070,10589124,10589125,15331850,21299825,28498791,21281123,15318347,10580150,6979477,6979478,10580156,15318353,10589223,10589221,267763838,10579714,10579715,15317505,10579579,6979040,6979039,10579577,15317503,15317644,10579671,6980503,6980502,10581492,6985334,6985333,10589117,6985258,254728911,15317479,15317478,21279981,28497526,31489312,31120610,23634164,21299943,21299942,28497752,28497751,23634162,23606110,17293166,12171991,8204129,5275305,3229471,3229472,5275310,8204137,11265195,11265194,16205376,21293391,15327179,15327178,21293388,16063614,13188838,13188837,10837967,7164389,4512299,2711398,1570723,893062,503911,282592,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570889,2711712,4512567,4512068,4512070,7164037,5099509,5099512,7712154,7163422,7163421,7712391,7712392,254719578,12187706,11310383,7509202,4746582,4746585,7509209,268087643,21636660,16267647,15658303,11550756,7684983,7684982,11171359,254779133,7509265,254779311,7510759,11171226,11171227,10329835,6798143,6798144,7509278,4746637,4746635,4747478,7306978,4611122,2821677,2821678,2711898,1570993,893189,503973,503972,893187,1570988,2711890,4513132,7165665,6807988,4269908,4237561,4105503,2927058,1697907,965464,544025,304846,168744,168743,304843,544018,965441,1697865,2541179,1464058,828490,467533,263022,263023,467539,828509,1457566,825234,825233,1291292,2226293,2556238,4275553,4242453,4242455,5377465,3306685,1945348,1111367,623706,346631,346629,623701,1111353,1457298,2528729,4229296,4252731,5157984,3141507,1837248,1480545,1480546,1464460,828712,467636,467637,828719,1464427,2528742,2570870,2571864,2567749,2567748,2545068,2545067,4257199,5944668,4255777,4255775,2564316,1476665,834968,470642,470641,831498,1291646,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8129665, s2 = 9803636, dlinesl.size( ) = 2 s1 = 8129665, s2 = 9803636, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8129665, Dl.E( ) = 8, 2.69e-05 seconds used appending s1 = 8168680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13348847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13348847, s2 = 13395750, int(edited[s2]) = 0 s1 = 13348847, s2 = 13395750, d1 = 0, d2 = 0 Dl.O(d1) = 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8,74239216,84288654,73463503,60715687,60715688,61460127,72664420,59924024,48530205,38614457,38614456,48530203,39386095,30784060,256482103,49313727,60715573,63114138,59924028,59924029,72664426,61899086,257063746,49313735,39386101,30784062,30784061,39386098,49313731,48618701,47549383,37643370,37643371,47549385,256010170,61928898,74212619,87816394,101788974,114262458,114262459,257056194,85219283,85219284,88318147,74690555,74690554,269394772,50438516,61928904,268252868,40404510,256509398,61928934,74722530,88350553,74722542,61928949,50438542,50438543,256004732,257056196,61928945,74722499,61928924,50438513,50438514,50406244,40371019,31677091,24168329,24168330,31677093,31712439,31712437,24204809,24204808,31624779,40313141,50274295,40252980,39927633,39865218,39865221,254398964,60764387,255165888,39431493,46941572,37062635,28561336,28561335,37062632,46941569,50438484,50438485,50406234,48741584,38821511,30238257,22845063,22845062,30238255,30827277,30827278,39431491,46941534,37062614,31252410,24168328,17800756,12600763,12600764,17800759,24168331,31222736,31565550,24059939,17705116,12523558,8485424,5486159,3376944,3376946,5486163,8485435,12523579,17705151,17185855,12084127,8126119,5206055,5206056,8126122,12084133,17185866,23465484,30899031,31122746,23636872,17321239,12196313,8226517,8226518,12196314,17321240,23636873,31122748,31209087,31209086,39887769,39887770,31209088,23722908,23722907,24562135,23722910,17399122,12261626,8280716,8280717,11899050,11899051,255525297,25557918,24687741,20286982,14557038,14557037,12256240,8277351,5340703,3282673,3282675,5340705,8277355,12256245 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13348847, s2 = 13395750, dlinesl.size( ) = 2 s1 = 13348847, s2 = 13395750, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13348847, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 10135999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135999, s2 = 13571340, int(edited[s2]) = 0 s1 = 10135999, s2 = 13571340, d1 = 23, d2 = 29 Dl.O(d1) = 25544507,28752819,21493254,15487221,10709634,10709636,10709611,10420541,10420538,12564758,17756813,17740869,17740866,17775831,16612154,11586821,11586820,12588662,12580244,8533198,8533201,8552059,12602332,17387811,12252904,12252905,8509834,8509832,12550911,13202485,13202483,12543542,12543540,9847678,6467911,4052648,4052647,6467906,9847665,14335000,20015365,26897066,254279412,31711678,31711679,31711680,24203937,254414288,16055480,11147987,11147990,16055484,22181882,23682472,17362164,12232204,8259656,8259658,12232211,17362172,21493464,22182895,17742845,13496495,13496494,12608725,8557595,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331051,8262979,12237123,17369261,23691799,31181501,254876888,17386798,17386175,17386176,13418633,9174663,6004921,3755383,2249046,2249045,3755376,6004908,9174576,13418499,18833432,22797101,16580245,254278274,30186661,28829912,254278272,10746189,7099914,4470306,4470307,254414430,7099890,4470295,2685860,1555887,1555886,2685858,4470290,6393592,4012307,2404612,1391471,791283,448126,448125,791277,1391460,2404588,1416420,254215265,4094882,6535493,4094914,4094915,6535568,9943800,14453386,19836886,26650466,30219272,30219271,24067698,17711881,17711882,254650688,33213470,33213471,30219085,22826794,16605844,11581488,11581490,16605849,22826800,20150999,14455417,9945045,9945046,14455421,20151003,25339608,24081759,17724525,12540004,12540003,254865730,25241605,18671882,13280007,13280006,17794447,17794448,254869696,14456565,14456566,11475449,7632653,7632604,4828843,2909872,2909871,4828838,6536682,9945741,11581484,11581486,14454039,9944226,6535806,6535808,4878610,4878609,7708667,7708784,11581539,12539974,8501026,8501023,12539969,9945144,9945145,11475191,7632844,4828972,4828973,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,9945615,6536605,4095446,2450088,1416544,1416543,2450083,1416554,1416553,2450110,4095496,6536724,9945803,14456647,10757539,10757540,15553561,19703997,26443160,26443159,20152510,14456583,9945762,9945764,14456585,20152514,19705061,14128841,9720108,6394244,4012636,4012637,254679537,255310223,255556292,11239245,11239246,16171762,22316931,17415357,254529128,31222895,34319330,34319329,29667776,22316122,16171087,16171088,21793106,21793104,19837328,15726447,10890283,10890285,15726626,15735016,14169257,9740929,7207712,5173140,5173139,8078228,9719901,9719902,14128425,19704512,15733899,10897099,7207276,7207275,10897093,12310801,17376847,12300039,12300038,9719889,6394130,4012581,4012580,2727324,2727323,4537347,7201888,10890358,15726798,21785348,17462479,12310732,8315146,5365352,3298350,3298349,5365348,8315142,12310719,17462461,23794554,19781568,14169001,9740776,6405158,6405159,7207639,4541470,4541469,7207632,10897673,15734806,21793672,255165994,46648773,46648774,38417068,29848334,23794667,17462580,17462582,21793661,15734802,15734803,21793666,21710356,15668128,10897511,10897513,15734551,17377029,12322616,8323437,5370914,5370913,8323432,12322609,17477780,15726723,15726722,12312613,12245190,8270300,5336599,5336600,3280516,1929616,1929614,3280512,5336618,8270341,12245262,15489794,10711489,7076457,7076455,10711477,15489774,19161579,23213593,17430859,17430857,21793076,15734385,12293719,8303220,8303221,8303244,8303242,12293764,10897479,7207527,4541413,2730072,2730074,4541424,7207548,10897520,15734561,17040997,16311282,11348681,7540993,7540992,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10897540,8316812,254080310,17464911,23797248,31283321,39958078,49974679,59474100,48083598,48083597,59474097,72211707,85805851,87663555,256515846,65189120,53203847,42754593,33725181,33725180,42754588,53203838,65189099,78473314,65189126,53203850,42754595,42754594,53203848,65189121,78473309,257204846,42754580,33725175,25918607,25918608,33725177,42754585,53203831,61241666,49762732,39744174,39744172,49762730,61241661,65189083,78473294,92513000,106824605,92512951,92512950,101593522,92513037,78473347,65189124,65189123,78473343,92513033,99359254,85416251,85416250,99359252,104070678,106824626,98549073,84625184,71828261,71828262,85416125,98858542,98858543,98858567,98858568,92512972,78473260,78473261,75654559,62709564,62709563,270450715,103509767,259161193,67663526,55323464,55323465,67663529,81130592,95188962,98858492,112847032,98858609,84931417,84931416,71354472,71354473,257608398,78034473,91961737,84931355,269786137 Dl.O(d2) = 22264271,16123518,16123521,22264292,17672132,17672133,24021583,31522517,31522516,31523228,31523227,40208929,40208852,31523138,24021550,17672108,17672107,24021543,31523130,33106263,33106202,25371285,25371286,33106208,33010287,25285321,25285320,28164634,28164591,28164592,36639615,33010262,25285302,18712417,18712416,255896736,41952541,52293460,256483844,33010277,25285312,18712422,18712420,15035637,15035641,20944014,20964886,25302485,25287809,18714853,18714854,25287814,33012820,33012928,33012842,25287944,18715016,18715017,25287946,256114605,18715034,18715033,25287962,25287980,18715048,18715049,18712306,13318980,13318970,12325333,12325334,17481358,13319035,9099270,5953429,5953428,9080493,10336874,10336872,13298881,12093355,12093356,13319133,13319134,18691915,13298769,9080423,5938731,3713382,2223620,2223619,3713380,3716368,2225385,2225384,1293175,738020,737823,737821,1292797,2229231,3723129,5953498,5953570,9093488,13312730,18706046,18708536,13315510,10283726,6986947,6986946,10591524,14938446,255652055,18691840,18691839,18691846,13304525,13304526,10691883,10691886,15039134,15039133,20947725,25263306,20951405,20951406,18715077,18713356,18713355,25286225,33011199,30916192,28208711,21015749,15094041,15094040,13993270,9613030,6314180,6314181,9086051,5943273,5943272,7261193,10970042,15829877,13315541,13315542,18708561,18708766,25281429,28719772,28719771,37250647,37519796,28976033,28976032,25281296,18708655,18708653,24252538,24252539,31764290,29465213,22130439,22130438,23829293,23829295,30916073,23478964,17196185,12092009,8131790,8131789,12092003,17196173,23478950,30916054,32986649,25263363,25263362,23479020,23479019,23479032,25281491,25281492,33006302,33006290,25281482,25281483,30877053,30877054,28043644,28043642,33006268,30916184,30916182,25349007,25263368,25263367,32986659,40214278,40214258,40214259,49377340,52265491,52265490,41948306,41948305,256888604,257468928,40214272,40214273,50234526,46330180,36474752,36474754,30903971,30903950,30903949,33006096,33006095,41948320,47427883,39526706,38026893,30048677,23446772,23446771,30877039,30876987,23446741,17171352,17171354,23446748,30876999,34573683,26586866,26586868,30877115,30877116,30904003,30877084,23469493,23469494,30903985,39512102,49080689,39717619,31040266,31040267,34573678,34573679,39717644,47292229,47382903,47382904,48576174,49412125,39511952,30903880,30903879,39511948,36523358,28057995,28057993,29464969,38027060,47940738,50234539,50234493,50234494,50234502,50234503,49172461,39247300,39247299,37798413,29235733,29235735,37798415,257109182,29471818,23469423,17188881,17188880,20888179,20888180,28057988,29464954,29464695,22129927,22129926,22130106,16019535,11122731,11122732,16019543,22135754,22129998,22129999,29464769,22701193,16497628,16497627,22701190,30083089,32043230,24478477,22129917,22129916,24478501,24478502,32043262,40803059,42247408,33268005,30651575,23230124,23230125,22130205,22130206,21571771,21571770,24015558,17667405,17667408,24015564,31065558,31065557,38027085,39247325,38026934,38026931,36523344,29464801,22130020,22130018,16015293,11119718,7375537,7375538,11119724,16015304,22130118,29464777,22130004,16015226,16015227,22130008,22701203,16497633,16497632,22701200,29465131,24478482,18056581,16015145,16015143,16015180,18056606,24478509,32043273,28843203,21571733,15549067,15549066,16015373,11119776,7375580,7375582,11119780,16015381,22130223,29464908,25507288,25507287,31065567,37383192,29465037,22130253,16015414,11119811,11119760,11119761,16015339,22130150,18896956,13465439,13465438,13465474,13465475,11119904,11119902,16015173,16015174,15549027,10754072,10754071,10754100,10754099,15548978,21571614,21571834,17140923,16021512,16015603,11119977,7375714,7375715,11119982,16015608,18896968,16015584,11119959,11119958,11120094,7375790,4659771,4659772,7104936,7104865,4473121,4473120,2807371,1628626,1628627,1628613,926069,521987,521986,926062,1628605,2807338,4659713,4659633,4659632,4659850,4659851,4659815,4659816,7375862,11120199,16015622,11119999,11120000,16015625,15549084,10754107,7375687,4659718,4659716,7375681,11119930,7375900,4659831,2807391,2807393,4659836,7375909,11120268,16015937,11120241,11098776,11098777,11120274,11120275,11120035,7375751,4659750,4659749,4661312,4659767,2807362,254350193,7375777,11120076,16015757,22130627,29465465,22137285,22137286,29473813,29473805,22137279,22137278,16020752,11123583,7378054,4661132,4661131,7378052,11123579,16020748,255887805,38036680,33289668,25529048,18919178,13487559,9227859,9227860,13487564,18919182,25529051,33289677,33289686,33289685,31565963,24060354,24060350,29465456,38027575,42269529,42269527,42270145,42270158,33289918,25529265,18919317,268298309,33289911,42270151,258412613,52655448,42270177,33289938,33289939,42270180,52656044,64555591,77737869,91665612,105873841,120086666,120086665,120086642,120086641,120086649,105873817,105873816,260877613,261272766,260533584,120086638,133929910,147153835,152244962,260136382,126138447,133929670,120086339,120086340,133929643,120086320,120086321,133929630,120086295,105873418,105873417,120086293,120086654,105873820,259666543,77737471,77737470,91665231,105873452,120086317,105873456,105873426,91665207,77737449,64555155,52655589,52655590,64555156,64555189,64555188,64555190,52655610,52655611,64555192,259039667,64555139,52655599,42269712,42269711,52655593,64555160,77737424,64555132,269998727,91665185,91665186,77737537,64555239,64555238,77737535,91665248,91665249,105873479,105873513,101970752,101970753,116017296,116017302,101970758,101970759,99655470,99655471,105873402,91665189,91665188,105873401,113668467,99655459,99655454,85707598,85707596,85707599,99655455,99655504,99655505,113668464,113668465,113668475,113668496,99655497,259986199,127539873,140895020,153569177,140895018,140895019,153569182,140895001,127539848,127539849,127539845,113668468,99655461,85707604,259367985,86895060,73284596,60540949,49141184,49141185,52656001,52656004,42270132,33289895,33289894,42270131,52656002,64555531,64555532,77737813,77737819,64555543,64555544,59316833,47923762,38008778,29446587,22113262,16001014,16001013,22113261,29446585,29754250,256400642,59316838,59620831,48233773,38323768,29754240,29754241,38323770,48233777,48003582,38092201,38092202,48003585,59391832,72122727,85707495,85707535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135999, s2 = 13571340, dlinesl.size( ) = 2 s1 = 10135999, s2 = 13571340, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10135999, Dl.E( ) = 34, 2.19e-05 seconds used appending s1 = 11102734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102734, s2 = 3389351, int(edited[s2]) = 0 s1 = 11102734, s2 = 3389351, d1 = 1, d2 = 4 Dl.O(d1) = 202525453,263788652,216843381,220047127,222753641,225080157,227101176,228864790,228548188,226743768,224674561,222291367,219515724,216230315,212266960,207415960,201533485,194544583,186385457,177025228,166439658,154729771,142091804,128733502,260582990,73188356,60441335,49037362,39107554,30510572,23095234,16839789,11776254,7862545,4990452,3014467,3014468,4990457,7862554,11776270,16839330,16839333,16041631,16041549,16041548,22163415,16839884,16839885,23095366,23095092,23095091,23094665,23094666,22163426,16041563,11138617,11138622,16041573,22163439,17440490,12293921,12293923,17440496,22163516,16839931,11776359,7862613,7862612,8471499,7862472,4990413,3014452,3014451,4990410,7862466,11776123,16839587,16839940,23095428,30510216,30510022,30510026,23095664,16840111,16840070,16840069,23095609,30511008,23095622,23095494,23095495,16840097,16840096,23095635,30510250,39107208,39215827,30618864,29502935,29502936,29502993,29502994,33381929,39108021,30510988,23095578,23095579,30510993,39107896,30510890,23095508,23095511,23095050,23095051,22163391,22163389,29502854,23095456,19002282,13561517,13561518,17683169,17683168,16840036,16840037,23094869,23094870,30510151,39107047,256461584,49037693,39107871,39107872,39108048,39108049,49037887,49037705,49037706,42371000,42371001,52770124,60441121,73188136,73188137,61722673,50243905,40223700,40223701,49801067,39782014,39782015,49801068,49801031,49154243,49154242,60553523,57661477,49037087,39107263,39107262,49037085,49037075,39107255,30510306,26903064,26903065,34983034,44360682,55211571,50244038 Dl.O(d2) = 47977959,38065979,38065980,31103415,31103414,39782114,42370984,33381917,25616097,25616096,33381913,40276539,31592125,24088798,24088795,23782906,23782905,24034582,31537340,40223743,40223715,34982914,34982913,42177605,49801077,49801076,49801089,44795594,35370844,35370845,257332055,36464501,34983037,26903067,26903066,34983035,44360678,44360677,55211567,49801124,39782069,31103385,23618641,17304574,17304575,23618642,20020351,14339061,9851019,9851021,14339066,20020360,26903095,34983087,33218902,33218901,34983004,26903040,20020326,14339049,13447966,9196280,6020717,6020718,9196284,13447976,18871871,25472251,25472179,25472178,255258896,268138462,39454795,39454796,49382797,44360691,44360690,47981317,47981316,42177510,33218923,25472174,25472173,33218919,42177503,52535010,55703168,55703169,68100847,70305085,60240804,60240803,72976838,63858379,52535109,269504467,42177465,39536693,30925371,30925372,39536695,48847204,42177491,33218911,30340663,30340664,38926992,42177631,33219017,33219018,30851220,30851219,39455125,34982957,34982956,31496106,23998737,23998738,31496110,38926807,30340510,22939229,22939228,30340508,256486735,42177459,256124372,42186131,42177640,42177639,52535104,49471019,49471018,52534974,42177452,33218879,33218881,42177456,52534982,49382518,39454507,30850608,23420343,17143883,17143881,23420338,30850599,39454488,39454487,30850728,30850729,30851549,30851550,33219021,42177633,49383013,39455068,30851557,30851230,23420827,17144150,17144149,23420823,30851227,39455131,32803315,25101431,25101430,254437616,23420648,17144048,12048744,12048745,255536421,30851008,39454927,49382825,41723420,41723419,49382992,49382922,39454924,39454925,49382924,60783630,58589430,49382524,39455090,30851172,30851173,255986756,58589429,47710998,47710999,49382637,49382638,49383213,49383227,39455341,30851450,30851452,39455323,30851436,30851435,39455321,49383208,60441349,49037374,39107564,30510578,30510579,39107565,257586593,73188373,73188426,73188429,70703873,57986540,46610262,46610260,39454743,39454742,49382630,39454604,39454605,49382633,47509834,47509835,49382585,52524667,52524665,60783385,60783386,73530845,60783788,49383181,49383180,60783784,55212406,44361387,34983599,26903457,20020623,20020621,26903450,34983586,44361368,55212376,67556126,58889396,58889397,71609307,85174034,85827608,72235254,59499798,48111674,38200421,38200420,48111671,59499792,72235247,85827603,99780857,95084562,258255794,73188027,86800388,100781296,87149459,87149460,101007500,109339076,109339075,100495716,86537056,72939089,72939088,86537054,77575765,64407977,52535004,42177492,42177493,52535006,64407980,73530981,73188026,60440901,49036789,39106890,39106891,49036790,60440903,73188030,86800393,100781298,114833417,115224240,101147432,87149631,257783924,49383189,49383190,60783798,73531126,72939070,72939069,86537042,91517229,91517230,102260127,88261923,74631467,61839095,50354777,40327581,31638004,24130885,17767573,17767574,24130887,31638008,40327588,50354790,47244543,37334572,28796969,28796970,37334578,38880409,38880407,48801377,38879043,30293054,22894637,16664845,16664844,22894635,28797008,37334628,37334609,29168384,29168383,37728518,47244763,47244566,37334590,28797053,21531511,15517751,10732208,7090987,4464755,2682349,2682351,4464763,7091000,10732232,15517788,21531581,28797179,30293814,22895343,16665375,16665376,22894651,22894652,30293078,36805240,29775029,29775030,30063751,30063750,37334481,30294811,22896279,22896280,21531743,21531742,28797425,30293184,22894777,16664964,16664966,22894784,22894708,22894707,30293133,37334693,256876039,255947845,255504287,30293581,22895155,22895157,30293588,30294841,27130740,20225399,14513425,14513426,255121332,26168019,26168020,255121334,47244759,37334917,28797268,28797267,37334688,37334689,47244646,48801925,38879720,38879719,48801926,58638277,254367138,28797340,28797341,31710223,24202530,24202529,31710222,40402397,256447746,58638223,47244808,37334878,28797224,21531611,21531610,28797222,28797271,37334922,47244837,47244054,37334868,37334867,47244057,37334150,37334149,38880658,44605426,255121460,78906568,81264362,95323984,86484542,72889407,72889408,67796194,58638265,47244886,47244885,58638263,65571499,53546672,53546673,65571513,60153363,256988307,30256563,22861228,16634606,11603552,11603551,16634604,22861193,22861194,30256508,38840005,48759460,43067791,43067790,53546812,53546671,43067647,34009827,26168031,26168032,34009831,43067633,48759410,38839958,38839959,48759414,43067739,43067738,53546768,65571573,60324523,48925897,39001824,30412366,23007263,23007264,255680596,48925906,60324530,71945487,59206576,268629144,29315004,29315006,37883811,47807237,38840037,30256527,22861203,16634593,16634594,22861207,30256535,38840022,48759490,47244787,37334861,37334860,44643055,44643054,55493147,60324528,65571509,53546662,43067629,43067628,53546660,48759567,38840103,30256580,30256581,38840106,48759424,48759346,47807229,38840120,30256590,30256589,38840118,48759581,49224349,39297334,30699716,30699717,30699719,255615608,11939869,7991014,5086175,5086176,7991016,11939871,17024870,17024848,17024849,23284008,22685663,16486384,16486382,22685660,30063282,31439282,23947877,17602456,17602457,18154605,12873780,8755006,8755005,12873784,16748847,22986836,25221099,25221100,31439279,31439280,32190249,24602461,24602462,31439291,23947889,17602464,17602465,23947892,29277108,21953191,15862262,10994339,10994340,15862264,17602453,17602454,23947874,31439278,40118250,32456585,32456586,29737825,22379687,254904796,12424708,12424709,17602461,23947886,23947899,23947900,31439299,29277077,21953167,15862249,15862248,21953163,29277073,37843996,31439297,23947896,17602467,12424711,8397449,5418884,3331114,254597399,9446218,6192673,3875770,3875771,6192679,9446235,7486138,7486139,9042623,9042624,11277622,7486181,7486182,11277626,16223045,14513435,14513434,20225411,16222860,254776871,7486187,11277631,16223051,16223033,11277616,7486179,7486178,11277614,16223031,22379804,26597005,29633858,22281609,22281608,29633855,38200686,32373731,24754962,18279789,18279788,22305291,29657163,28382135,28382134,36878358,30553030,30389785,28829649,21558688,15537872,15537871,21558684,22379614,29737754,23150953,23150952,23134651,16874076,12974166,12974165,16137634,11210285,11210286,16137639,22281524,21164616,15208053,10490541,10490540,11210295,11210297,16137656,22281548,22013636,22013638,29345633,32373758,32294841,24683908,23151014,16890240,11819024,267894918,11818981,7897267,5018312,3036121,1767284,1767282,3036117,5018302,7897283,11819011,16890225,23150996,30019819,22647287,16456394,16456392,22647284,30019817,38592417,38305891,29738004,23095232,23095233,30510570,39107553,49037360,60441333,258817977,100781540,114833647,128733501,142091803,154729770,166439656,175014843,164199972,260916620,126214550,112354823,98372598,84463381,70907105,58194452,53259940,53259941,65249529,78539687,86072374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102734, s2 = 3389351, dlinesl.size( ) = 2 s1 = 11102734, s2 = 3389351, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11102734, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 2050633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2050633, s2 = 15240441, int(edited[s2]) = 0 s1 = 2050633, s2 = 15240441, d1 = 10, d2 = 4 Dl.O(d1) = 63011333,51330443,41145118,32330247,256590901,24349706,24349704,256094435,18433981,18433982,24949601,256094485,24349658,24349657,31874238,37846140,29278881,21954566,21954568,29278885,256602653,40332717,32131243,24550496,24550497,32131244,40908905,47262405,37352815,28813983,21545826,15528616,10739813,7095937,7095936,10739807,15528607,18173037,18173040,24137077,17773017,17773019,24137080,31643885,32615780,24950136,24950134,32615767,268726569,50359930,40332819,31643860,24137063,17773008,12577814,8531042,8531043,12577816,17773012,13061981,13061980,18389221,24888891,31643793,29571118,22224512,18241671,18241672,24714356,32330180,32330163,32330164,41145035,47832019,37910324,37910325,41145074,32330197,24714370,24714369,32330195,41145071,50359921,50359922,257832270,41476323,32599045,24936807,24936806,24888885,24888884,32533723,41384236,50359898,48125560,48125559,257729299,41144958,32330110,32330109,41144957,41384271,32533762,24888913,24888912,32533760,41384267,51610333,50359937,40332827,40332826,50359934,258123773,59445891,256934025,29574229,22227128,22227127,29574228,38140754,48054325,51286312,41106356,38550493,29981305,22614239,22614238,29981301,38140872,29574318,29574317,38140789,38138885,29572671,24684791,18218172,18218171,24684789,29574019,38140433,48053965,38140739,29574219,22227122,16093577,11177998,7416517,4686709,2823979,2823976,4686695,7416491,11177957,16093505,268401563,29573671,255283100,255283098,42210474,42210473,52571084,64446061,53219006,47950346,47950345,38337315,29766410,29766408,38337310,256134415,25538705,33300819,34195968,43293582,39281986,30685028,23268200,23268201,30685030,25538742,18926639,13492802,13492803,18926641,25538746,256650801,42282185,33300854,25538732,25538731,19269996,13773856,13773855,13492806,13492807,18926648,25538757,33300880,42282208,52669351,53077313,53218978,52669334,42282186,257206826,25538722 Dl.O(d2) = 38137718,38137653,29571533,22224893,22224892,29571531,38137437,38137436,48050704,38137757,38137758,38137455,29571352,22224739,16091556,16091555,11177178,7415804,7415805,7415797,7415798,11177161,16092651,22226032,29572878,38139138,48050668,38137392,38137384,29571269,22224651,16091491,11176190,7415051,255080795,22224649,29571268,38137382,29572886,22226039,22226038,256933853,48050712,38137446,38137447,38137470,29571369,22224750,16091567,11176236,7415077,4685554,2823141,1637895,1637894,2823135,4685544,7415059,11176207,16091518,22224681,16092033,11176719,11176720,11176525,7415337,4685766,2823288,1637984,1637985,1637975,1637974,254352031,2823497,4686052,7415720,11177058,16091710,11176386,7415218,7415219,4686009,2823464,1638102,1638103,2823467,4686015,7415677,11177011,7416776,4686919,4686922,4685633,4685492,2823087,2823086,4685489,2823124,1637889,931366,931365,1637887,1638121,931487,525007,254123811,525168,525167,931746,1638529,2823101,1637876,254123801,254123803,1637877,1638535,931749,931748,1637703,931784,525195,525196,524936,254086231,89437,89438,254086233,267752305,931353,931354,1637874,2823097,4685503,4686541,267790047,931671,525117,294269,162748,162749,294156,162685,89431,89430,162683,294151,524894,931259,1637731,1638407,931667,254165835,525228,294337,294336,525226,798376,452516,452514,452513,798372,1402920,254236251,254259499,2823670,4686292,7415992,11177411,14334183,16093008,11177527,11177528,16093014,16094052,16092805,11177326,11177325,13805299,11175015,11175016,11177333,10937376,254514091,4562245,7236915,10937377,15787554,21859997,19598278,14042571,9655388,6348925,3983497,2387435,1382093,786257,786258,1382096,2387441,3983383,6348750,9655153,14042273,19597895,14042414,9655270,6348830,3983436,3983437,6348832,9655274,14042253,9655140,6348741,3983376,2387368,1382061,786240,786239,1382058,2387360,3983359,6348705,9655070,6348913,3983488,2387431,2387432,3983490,6348918,9655380,9655382,9655133,9655134,14042242,19597874,19597234,14041811,9654847,9654846,14041810,9654849,6348561,3983270,2387287,1382012,1382011,2387285,3983267,6348551,9654833,255304293,9654803,9654804,14041748,14042472,14041960,9654944,9654945,14041962,19597454,256184449,26324060,26324061,34196164,26323880,26323879,26323695,19597149,14041726,14041725,19597148,26323694,34196261,43293879,53818972,65886908,257702709,40752115,256059137,18024353,12774916,8683395,5650409,3512856,2088712,2088713,1210109,682437,682435,1210100,2101712,2087641,1200430,687033,383411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2050633, s2 = 15240441, dlinesl.size( ) = 2 s1 = 2050633, s2 = 15240441, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2050633, Dl.E( ) = 12, 1.31e-05 seconds used appending s1 = 9182822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13409459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13409459, s2 = 16170401, int(edited[s2]) = 0 s1 = 13409459, s2 = 16170401, d1 = 13, d2 = 9 Dl.O(d1) = 74212925,61433976,49956312,39939367,39939368,49956313,61433978,270383151,88487037,74851441,62053341,50560991,40524700,31827625,24310254,17925450,17925452,16841809,12868354,8751353,8751356,12868360,9713626,9713629,13837850,9713654,9713655,14118679,18147316,24593368,268460268,31081950,38174835,39162626,39162627,38175019,29608064,29608063,38175006,29608050,22257598,22257529,22257532,22257835,16118450,11196515,7429208,4694502,2828539,2828538,4694496,4694402,4694380,2828477,1641093,1641092,2828471,4694363,7429030,11196318,11196367,16118291,16119780,16119572,16119571,22259058,25962999,19297176,19297178,22259127,16119628,11197464,11196472,11196473,16118393,22257782,22259077,22259078,25150591,22257724,16119552,11197411,11197410,16119549,22259034,22259226,22259225,29609518,38175087,29609377,29609376,38176081,32857360,25150437,18593583,18593584,22259192,22259191,22259406,22259244,22259210,22259211,29609509,25150571,18593664,18593662,22257694,22257693,22259043,22259042,29608721,29609519,25150406,25150405,27126042,27126041,268736485,25150402,25150401,256622531,40579212,31874832,24350200,24350201,29599422,22249985,16112067,11191668,11191667,16112065,22249981,29599416,38166215,32857511,32857509,41778106,35219289,35219288,27126001,20221401,20221402,27126005,33415039,33415038,42404939,52805044,42404925,38176453,29609734,29609733,38176451,44600122,257321829,67791953,55449319,55449320,59470135,55449375,257196412,52805039,52805040,59478226,48088566,38176678,38176679,48088375,48088376,268691856,41778160,41778161,48703886,52805074,42404972,34274580,34274579,33415026,33415027,42404923,48088476,42404928,33415033,33415031,40490914,38176464,29609740,22259466,16119947,16119948,22259472,29609751,38176484,44599995,44599993,51823235,51823236,44600116,42170995,33211385,33211386,42171001,50296434,40275766,40275765,50296433,61775978,61906775,59446723,48055138,38141488,29574836,29574835,38141484,48055131,48088551,38176663,29609860,29609859,38176659,42404891,52805012,58167457,256681104,72800570,60061899,48665046,38743308,30160465,30160464,33346184,25586238,25586239,25347391,25347392,33077690,257189921,64210511,63818182,52002823,41691151,41691150,52002820,255832052,28618477,28618478,37130178,47017631,38743408,256979329,60062041,257407062,46525195,36657605,28181117,20998543,15083248,15083249,20998547,28181126,256826853,39759593,257630635,49778259,39759732,39759734,49778266,49778410,61256945,61256947,70678276,84231479,74037119,61257194,49778462,49778464,57881287,61256912,256827670,257406197,257630651,39759729,31081897,31081899,39759731,49778446,49778243,39759595,31081824,23598251,17285901,268250579,31081826,37144440,37144439,47033115,58405386,71123183,84687561,95115500,81058164,67590776,67590775,81058162,95115499,109369373,123560555,260128322,162468770,173507922,183309693,191879192,199250780,195125529,187048260,273103982,167280285,155648824,143097384,271776568,87847373,74242920,61464463,49987142,39971321,31297074,28417537,28417538,36915273,46792974,36988396,28491451,21274916,268069573,6976511,6976510,8415514,8415513,12447158,17626895,23974848,31470884,257079207,50180162,61665526,74449412,258812566,50161402,41247050,41247051,51446784,49075098,39145204,30547243,30547244,39145210,49075107,48700499,38778131,30841776,30841778,39446165,31582624,30841852,30841851,31200259,31200260,38778642,48099371,38187714,29620734,29620735,38187721,39446236,39446237,49374705,48700517,38778141,33247944,25497310,25497264,25497265,33247858,42209543,48099539,48099538,47171044,37265010,28732781,21475163,15472525,15472526,21475167,28732796,37265039,47171097,58560081,49075152,49075151,49075125,39145222,30547251,30547249,38187497,48099023,50290888,60096057,50290868,50290869,40269663,31582632,24076912,24076908,31582639,40269678,38187748,29620752,22269760,16128539,16128540,22269764,29620765,29620591,29620592,38187454,38187413,30193570,30193571,33247851,33247849,42209530,38187529,38187527,48099074,59487641,58559987,58559990,58559960,48328731,38420387,38420386,48328726,58560014,71292050,84866337,91792912,91792911,99769604,85816482,72223627,72223626,258188944,59487849,59487850,72223882,85816646,98794603,257745116,85816460,72223597,59487515,59487516,72223588,59487501,59487502,58560054,47171086,47171087,58560059,59487838,48099222,38187614,38187610,48099213,40191284,38187577,38187579,48099169,52002920,41691236,41691238,50531725,50531726,43357278,43357277,53881750,48099203,48099201,59487805,49188395,49188394,48098886,48098884,52867032,52299461,41958458,41958460,52299468,59530702,52299518,52299517,64151778,70966243,72700845,62023615,50531661,50213426,40191316,31506002,31506005,26639395,19827453,14203399,14203401,19827462,26639425,34629274,41691224,47073317,37179616,37179614,40191268,40191267,48100395,38188577,38188576,48100391,52866770,54644776,53255607,53255591,42802832,33770941,33770942,42802810,50531679,50531678,53255550,53255549,61677924,72223465,63408574,62652257,51026156,51026153,51026186,40888866,40888865,51026180,62652287,64786054,72700849,77979761,74561532,74561530,65535727,53510797,53510798,54644727,257886137,257581372,59511431,59511430,257581370,86891370,258276244,58285759,46919937,37041988,28543025,21319688,21319689,25696618,19071163,13615066,13615065,19071156,19071314,19071315,22314917,22314918,29666686,38232885,48143234,48704727,42462730,33469411,32303649,24691729,18223622,18223623,24691735,31997147,24439028,24439029,31628682,31185463,23695817,23695814,31185450,29352579,22021286,15920111,15920112,22021294,29352589,35254672,31185485,23695835,17373731,17373732,23695841,26121064,23960918,17612361,12431685,12431684,17612355,19071305,13615133,9322768,6106858,3821022,3821021,6106849,9322748,13615090,16169880,16169879,22314926,22314940,22314939,29666717,22807076,19071054,13615008,12925854,8793158,8793159,9347315,6122427,3830566,2294942,254304073,6122422,9347305,13650482,19118986,19118987,25757479,33546180,42562491,33546177,33546178,42562492,53002347,64977163,78250556,92277807,106576094,260900385,272396740,134621271,262952505,190104760,264072455 Dl.O(d2) = 189855608,180976716,170856750,159528447,147169191,133946881,133946880,120105065,105893509,91686445,77759310,64576677,52676524,42290267,42290266,52676522,60232988,52917748,52917749,64842626,78039749,91966931,106164993,260188144,147412164,134200556,134200557,147412165,261893778,262396544,171064682,262862426,190013168,197649466,204150970,209575169,264590544,203824281,203824280,209301013,264623187,203824277,203824276,197264102,189573861,262921539,159200980,146826548,260856735,105456068,105456069,259880598,77315422,77315423,77315419,77315420,64167298,64167299,77315424,77315425,88188167,74572698,61788242,50307694,50307693,40286309,31601248,24096929,17738291,12550788,8509765,5510141,5510142,8500824,12539600,17723944,24081111,24070978,17745380,12585133,12554483,12554481,12600311,8550825,8550826,12600313,17800213,254191720,24140062,17775780,12580151,8533137,5531110,5531109,8533135,12541401,16579386,12539852,12539853,12602250,8552010,5549776,3434939,3434938,3456816,3456812,5572647,8536535,8536532,8511733,8511731,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,12540352,17725035,24082314,24087195,24087198,31590902,25545376,21494168,17725563,254250532,8501419,5502817,3392242,1999210,1999165,1999166,3392164,5502677,8501150,12540214,17724824,17755674,24116715,30449092,23041536,23041534,17724822,255191386,14213749,19840444,22826704,19840445,255194392,43917997,37370098,28830049,28830048,37370096,40335008,31646253,24139685,24139684,26441821,20818164,14921156,14921155,20818162,23707312,20021007,14339547,14339548,20021010,19701680,14126360,14126359,19701677,26440901,34319024,31588092,24083113,17725842,14129055,14129053,19705354,24130286,17766907,16165415,16165416,16620962,11593599,7717459,7717458,11593598,255499501,30237399,33169134,33169133,37645771,37102417,37102418,46986828,37600047,29051919,21757623,255860047,29051917,21757622,15702853,10870330,7187147,4527949,4527948,7187146,10870329,15702850,21757620,29051916,37600043,47504024,58883343,259334449,113078478,126932006,140279954,262197809,175547137,263874009,206578567,211562283,215634199,265183875,224277218,226390657,228231294,265985667,232570712,233733559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13409459, s2 = 16170401, dlinesl.size( ) = 2 s1 = 13409459, s2 = 16170401, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13409459, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 8128983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9074368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1786033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16348370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16348370, s2 = 16186252, int(edited[s2]) = 0 s1 = 16348370, s2 = 16186252, d1 = 2, d2 = 4 Dl.O(d1) = 86593665,72995866,60260194,256881878,30361365,30361364,38947445,48867174 Dl.O(d2) = 255905403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16348370, s2 = 16186252, dlinesl.size( ) = 2 s1 = 16348370, s2 = 16186252, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16348370, Dl.E( ) = 32, 1.79e-05 seconds used appending s1 = 1697148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053771, s2 = 13240860, int(edited[s2]) = 0 s1 = 14053771, s2 = 13240860, d1 = 1, d2 = 1 Dl.O(d1) = 41151314,32336132,25533560,25533561,256050446,38000376,39431673,39431672,37329221,37329222,257455577,47981920,38069630,38069629,47981919,59372100,65373973,53369795,255815292,28219632,28219630,36712292,36712315,28219650,21024518,15100456,10414459,10414460,15100334,21024248,21024249,255265705,13491673,18925051,255284030,21023930,15099952,10414143,10414142,15099948,21023925,28219027,36711691,28219594,21024462,21024461,15100340,10414384,10414385,15100344,21024472,28219495,256290809,21024599,21024269,15100186,10414287,10414288,15100189,15100424,15100118,15100116,21024174,28219307,28219709,28219396,21024277,21024276,268604575,36711813,46600054,57977238,49188956,39262921,39262916,256516790,22034000,15932573,254761839,7330722,11055633,15932579,22034007,29364530,37930974,29890114,22535570,16361642,11386247,11386246,16361640,254789156,29890095,38446588,38446769,255106852,16361697,254789700,29890233,38446767,48349005,59733104,59247540,257550810,37930982,29364536,29364537,29890229,29776033,29776034,37930978,29776717,22412423,16248305,16248304,21324044,28548359,37048046,46926139,38446608,29890110,22535567,22535568,29890113,29890107,22535562,22535563,254789510,11296187,16247959,22411920,29776036,38347727,48258273,59645205,72379684,59732908,59732907,59247542,47850932,257499557,48259423,38348605,29776715,22412420,16248303,11296414,7500003,7500004,268087223,29776720,38348609,48259427,48349002,38446763,38446762,48348844,38446599,29890103,29890104,38446603,48258268,48258269,59645203,72379680,85974411,99931969,257550812,85974414,85974413,72468638,59732910,59732911,72468640,86067234,72649323,59908829,48515632,38600935,38600934,256854836,22412417,22412418,29776711,38348600,48259414,59646630,256968690,59646639,48259425,48259426,59646640,72381586,59733099,59732903,48348840,48348841,269815401,59908809,59645201,59645200,71906225,85491118,99432712,113434658,99432694,99432695,100030601,113954719,99931966,85974410,72379677,59645198,59645199,48259418,38348601,38348602,48259421,59646623,59646624,59646627,72381575,85976908,86067479,86067478,72665201,59924889,59924887,72468633,72468632,72468634,269352044,114057763,114251171,113434649,99432684,99432685,99432689,113434655,127293261,113954717,99931964,85974408,85974407,72381579,72381578,258159786,85976914,85976904,85976905,99935067,99432677,99432676,99432707,85491113,71906219,59168209,47769591,37846854,29279475,29279476,256913085,59168216,71906230,85491126,85491115,71906220,71906221,85491116,85976902,85976903,99935065,113958006,260612454,113434666,258768760,87644318,101611273,260012246,112702014,98706393,84778463,71209829,58488283,47110378,37213609,37213610,39095427,39095428,49024374,258193535,259441005,113434641,99432666,85491073,71906195,59168190,47769579,47769578,59168188,60740622,60740623,73489830,85571968,71984882,71984883,60740625,49337304,49337305,60740626,71984885,59247679,47851110,47851109,50436485,47851118,47851117,59247688,71984897,257594146,85571983,71984900,71984901,85571985,259976571,71984899,269840520,47851133,37931282,29364980,22034532,15933140,15933141,22034534,29364984,37931293,37931247,37931246,29364962,29364963,256919311,256468980,61261368,74041047,71984904,59247693,256919319,37931287,47851139,59247714,59247702,47851131,47851132,59247671,268659196,47851106,37931265,29364967,22034525,15933134,11056139,11056138,255444689,268630079,29364982,37931289,46622238,57998262,59247716,59247699,59247700,71984908,85571990,74041049,61261371,49782593,47851128,37931279,29364976,29364975,256919317,257013564,59247545,47992673,47992675,59382404,59247668,47851098,37931258,37931259,257499571,37931262,37931263,46622241,36734052,36734051,44383694,255527486,25493907,18889249,18889248,25493905,31085132,30612204,30612203,39208382,49135321,47992676,40402356,31710183,24202486,255199525,12627482,17832953,24202488,31710187,40402363,257013566,257013568,61261374,49782598,39763306,31085138,23601141,23601140,31085136,39763303,38080052,29515587,22174005,22174007,28241382,28241381,36736397,46624519,53708250,53708249,49295757,49295758,60697172,64840849,52916028,42506561,33507603,25729107,19097296,13634612,9336348,6115454,3826306,2292371,2292369,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,28680090,24578876,24578878,24578854,18136164,12860443,12860444,18136169,24578864,32164073,39753800,31076171,31076170,257047497,40943028,40943029,51085616,40943103,33569377,33569378,42586368,33569508,25779352,19138130,19138131,25779354,256669185,53026312,65000980,259056038,53026080,42586394,33569403,33569369,33569368,42586353,53026123,53540998,48939666,47923215,256700728 Dl.O(d2) = 41151314,32336132,25533560,25533561,256050446,38000376,39431673,39431672,37329221,37329222,257455577,47981920,38069630,38069629,47981919,59372100,65373973,53369795,255815292,28219632,28219630,36712292,36712315,28219650,21024518,15100456,10414459,10414460,15100334,21024248,21024249,255265705,13491673,18925051,255284030,21023930,15099952,10414143,10414142,15099948,21023925,28219027,36711691,28219594,21024462,21024461,15100340,10414384,10414385,15100344,21024472,28219495,256290809,21024599,21024269,15100186,10414287,10414288,15100189,15100424,15100118,15100116,21024174,28219307,28219709,28219396,21024277,21024276,268604575,36711813,46600054,57977238,49188956,39262921,39262916,256516790,22034000,15932573,254761839,7330722,11055633,15932579,22034007,29364530,37930974,29890114,22535570,16361642,11386247,11386246,16361640,254789156,29890095,38446588,38446769,255106852,16361697,254789700,29890233,38446767,48349005,59733104,59247540,257550810,37930982,29364536,29364537,29890229,29776033,29776034,37930978,29776717,22412423,16248305,16248304,21324044,28548359,37048046,46926139,38446608,29890110,22535567,22535568,29890113,29890107,22535562,22535563,254789510,11296187,16247959,22411920,29776036,38347727,48258273,59645205,72379684,59732908,59732907,59247542,47850932,257499557,48259423,38348605,29776715,22412420,16248303,11296414,7500003,7500004,268087223,29776720,38348609,48259427,48349002,38446763,38446762,48348844,38446599,29890103,29890104,38446603,48258268,48258269,59645203,72379680,85974411,99931969,257550812,85974414,85974413,72468638,59732910,59732911,72468640,86067234,72649323,59908829,48515632,38600935,38600934,256854836,22412417,22412418,29776711,38348600,48259414,59646630,256968690,59646639,48259425,48259426,59646640,72381586,59733099,59732903,48348840,48348841,269815401,59908809,59645201,59645200,71906225,85491118,99432712,113434658,99432694,99432695,100030601,113954719,99931966,85974410,72379677,59645198,59645199,48259418,38348601,38348602,48259421,59646623,59646624,59646627,72381575,85976908,86067479,86067478,72665201,59924889,59924887,72468633,72468632,72468634,269352044,114057763,114251171,113434649,99432684,99432685,99432689,113434655,127293261,113954717,99931964,85974408,85974407,72381579,72381578,258159786,85976914,85976904,85976905,99935067,99432677,99432676,99432707,85491113,71906219,59168209,47769591,37846854,29279475,29279476,256913085,59168216,71906230,85491126,85491115,71906220,71906221,85491116,85976902,85976903,99935065,113958006,260612454,113434666,258768760,87644318,101611273,260012246,112702014,98706393,84778463,71209829,58488283,47110378,37213609,37213610,39095427,39095428,49024374,258193535,259441005,113434641,99432666,85491073,71906195,59168190,47769579,47769578,59168188,60740622,60740623,73489830,85571968,71984882,71984883,60740625,49337304,49337305,60740626,71984885,59247679,47851110,47851109,50436485,47851118,47851117,59247688,71984897,257594146,85571983,71984900,71984901,85571985,259976571,71984899,269840520,47851133,37931282,29364980,22034532,15933140,15933141,22034534,29364984,37931293,37931247,37931246,29364962,29364963,256919311,256468980,61261368,74041047,71984904,59247693,256919319,37931287,47851139,59247714,59247702,47851131,47851132,59247671,268659196,47851106,37931265,29364967,22034525,15933134,11056139,11056138,255444689,268630079,29364982,37931289,46622238,57998262,59247716,59247699,59247700,71984908,85571990,74041049,61261371,49782593,47851128,37931279,29364976,29364975,256919317,257013564,59247545,47992673,47992675,59382404,59247668,47851098,37931258,37931259,257499571,37931262,37931263,46622241,36734052,36734051,44383694,255527486,25493907,18889249,18889248,25493905,31085132,30612204,30612203,39208382,49135321,47992676,40402356,31710183,24202486,255199525,12627482,17832953,24202488,31710187,40402363,257013566,257013568,61261374,49782598,39763306,31085138,23601141,23601140,31085136,39763303,38080052,29515587,22174005,22174007,28241382,28241381,36736397,46624519,53708250,53708249,49295757,49295758,60697172,64840849,52916028,42506561,33507603,25729107,19097296,13634612,9336348,6115454,3826306,2292371,2292369,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,28680090,24578876,24578878,24578854,18136164,12860443,12860444,18136169,24578864,32164073,39753800,31076171,31076170,257047497,40943028,40943029,51085616,40943103,33569377,33569378,42586368,33569508,25779352,19138130,19138131,25779354,256669185,53026312,65000980,259056038,53026080,42586394,33569403,33569369,33569368,42586353,53026123,53540998,48939666,47923215,256700728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053771, s2 = 13240860, dlinesl.size( ) = 2 s1 = 14053771, s2 = 13240860, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14053771, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 1170766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1170766, s2 = 7132519, int(edited[s2]) = 0 s1 = 1170766, s2 = 7132519, d1 = 5, d2 = 29 Dl.O(d1) = 29800020 Dl.O(d2) = 263027903,264922809 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6549511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6549511, s2 = 11188255, int(edited[s2]) = 0 s1 = 6549511, s2 = 11188255, d1 = 40, d2 = 96 Dl.O(d1) = 255851344 Dl.O(d2) = 261747686,262801257,261747690,261747692,262737692,142983607,129654775,129654769,259405552,101710222,115756590,129654773,272896679,177666065,272869954,155533652,142983600,129654767,260623586,155533649,142983599,129654767,115756588,115756587,129654765,261200672,167166642,273133584,273555086,262737696,261200676,259405554,87735919,74130061,61348109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6549511, s2 = 11188255, dlinesl.size( ) = 26 s1 = 1507564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13379013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13379013, s2 = 15241970, int(edited[s2]) = 0 s1 = 13379013, s2 = 15241970, d1 = 23, d2 = 26 Dl.O(d1) = 32833564,41754402,52068192,60324866,256742052,47029938,256707586,47096644,37200729,28677908,21429397,21429398,28677909,22631946,16444782,11457734 Dl.O(d2) = 255047186,268389038,99003526,85078141,71506136,71506135,85078138,268619586,113104989,99115455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13379013, s2 = 15241970, dlinesl.size( ) = 2 s1 = 13379013, s2 = 15241970, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13379013, Dl.E( ) = 42, 1.5e-05 seconds used appending s1 = 7930766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1377461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1377461, s2 = 6440352, int(edited[s2]) = 0 s1 = 1377461, s2 = 6440352, d1 = 10, d2 = 15 Dl.O(d1) = 35075709,30068485 Dl.O(d2) = 254443496,7987945,5084991,5084992,254819325,7994523,7987800,7987799,11597933,11911566,7967800,7170496,5044482,3074126,1793302,254253649,5070585,254648538,3073779,3073780,3478446,2064206,1184736,1184737,1791213,3071584,2944569,2944570,1793153,1793152,3070619,1790464,1021043,575341,321998,321999,575347,1021053,841837,841839,1487824,1792467,1022367,1014977,572114,320448,177302,97685,97688,177311,320465,572146,1015027,1780103,254254511,1028208,579371,579372,1028211,1801450,3056889,3056888,3057912,2053168,1800684,1800685,2714474,1572716,894199,504476,504479,894210,1572740,1783534,1029568,580134,580133,1029567,1803349,1781295,1781293,3056387,5045958,7935425,11871720,12311618,12311619,17463626,22954722,17038998,267988529,7785923,7785924,7785335,4935363,2977807,2977805,4932977,2975994,1727188,981905,981906,1727192,1732704,985066,554507,554506,985062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1377461, s2 = 6440352, dlinesl.size( ) = 2 s1 = 1377461, s2 = 6440352, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1377461, Dl.E( ) = 48, 3.29e-05 seconds used appending s1 = 1185468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14065916, s2 = 13153249, int(edited[s2]) = 0 s1 = 14065916, s2 = 13153249, d1 = 205, d2 = 139 Dl.O(d1) = 73195234,64585901,64585900,60448838,49045080,39115402,39115403,49045081,60448840,60448844,73195228,73195227,83879345,86807395,100788358,114840092,103238437,103238409,89148319,260182607,261349769 Dl.O(d2) = 172535666,261220800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14065916, s2 = 13153249, dlinesl.size( ) = 96 s1 = 1189238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9824517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14056911, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1193257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1386425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9248064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9248064, s2 = 10342975, int(edited[s2]) = 0 s1 = 9248064, s2 = 10342975, d1 = 26, d2 = 24 Dl.O(d1) = 187013654,195095984,202010837,207826082,202010855,264560521,264748178,202010827,195095973,263526992,272601211,167238644,177735054,187013646,264280973,212619040,212619049,207826088,202010845,195095993 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7637417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7637417, s2 = 15122963, int(edited[s2]) = 0 s1 = 7637417, s2 = 15122963, d1 = 59, d2 = 44 Dl.O(d1) = 270360014,48856121,256452135,30350958,256872559,58585049,269933563,89607348,103722271,117875920,112757215,98767227,98767226,112757212,98767222,84839990,71265789 Dl.O(d2) = 259431621,114570916,114445236,114445235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7637417, s2 = 15122963, dlinesl.size( ) = 20 s1 = 14110525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110525, s2 = 8062406, int(edited[s2]) = 0 s1 = 14110525, s2 = 8062406, d1 = 5, d2 = 6 Dl.O(d1) = 177635657,186917354,191948902,192565580,192565579,199838316,192565581,184114370,184114369,192565594,263595362,151753550,139051612,125712658,111895114,111895115,109470591,95216396,81159801,67694222,67694223,259163489,84083571,70546481,57844425,46488318,36621713,28147829,20969429,15059505,10384920,255009515,20969432,28147834,36621716,46488324,57844441,70546494,84083587,97957425,111895104,125712650,139051603,151753541,163628722,174465230,164538152,152697375,261064724,112787418,259264676,258686527,258013364,47171558,269784391,47171549,37265451,37265452,256823640,255797802,15473018,10699570,7068787,7068786,10699569,15473017,21475602,28733183,21475641,255037861,7068802,4450557,4450558,5403734,3322280,3322279,254595965,12390060,15308258,10571765,10571766,9259760,6064753,3794603,3794604,4379341,4379343,6970979,9252476,6059738,6059736,9252468,7068881,7068882,10699695,15473167,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,3172450,3172449,267833536,12070472,9254460,6060993,6060994,9254461,13522997,11823195,11823194,10555179,6961664,6961663,8105763,6961678,4373901,4373902,6961682,10555206,255391263,28474163,28147851,28147852,36621727,36621703,36621702,46488303 Dl.O(d2) = 84083560,269949681,63211899,258978391,104153685,118308341,259544932,99043961,113032526,259865062,111649043,258619936,83869550,70344292,257385388,88459342,74825869,62029184,50537594,40502432,40502433,50537596,62029187,58819386,47432830,37525230,28981396,28981395,37525228,34664834,34664835,43938949,54681525,53375643,53375642,65379625,65379618,53375635,53375634,53375638,53375639,57725094,66937636,66937635,72021781,70673381,57954327,47888415,47888412,59284829,57954338,46577661,36691360,28201377,28201378,36691365,46577625,57954289,57954313,50491751,50491750,61983653,61198644,49720242,49720241,60335623,48937903,48937902,60335622,59284874,47888453,37970118,37970119,47888456,59284878,70673400,57954361,46577677,46577678,54681491,66937799,70939741,80363118,70673370,57954319,57954320,70673354,57954303,46577633,46577632,57954300,70673349,59284841,59284840,50491775,40455944,40455943,40455951,40455950,46997342,37111821,31761558,31761559,40455930,43901737,54644906,54644901,43901731,34629310,268812897,43938688,54681215,48937906,39014851,30426187,30426188,28201385,28201382,36691372,46577672,48082602,48082603,55298691,55298692,48938360,48938361,60336003,73076306,67636526,55298712,55298711,60336119,60335662,48937964,39014889,30426214,30426213,39014886,39015217,30426440,30426439,39015214,48938024,60335704,73076122,60336051,48938427,39015314,30426504,23021427,16780824,11733149,11733148,16780821,23021422,30426492,39015301,48938201,43009435,33952647,26115780,26115781,33952651,39014896,48937969,60335665,70911210,58198655,48938488,48938487,48938063,48938062,60335733,257398834,73076423,73076412,60336122,48938495,39015359,30426543,30426544,39015363,39015231,30426449,23021387,23021386,30426442,39015222,48938344,48938375,60335956,48938300,39015188,30426421,23021374,23021373,30426418,30426483,23021419,23021418,23021382,23021380,30426431,39015164,30426405,30426251,23021279,23021282,30426256,30426476,30426477,39015278,48938381,257580567,60335905,48938263,48938264,59548846,52329282,52329283,48938497,39015367,30426547,23021449,16780835,11733154,7833618,4972571,3003419,3003418,4972568,7833612,11733143,16780810,23021398,30426464,39015252,48938259,59451989,59451991,58697247,47307110,47307109,39015285,39015284,48938321,39015202,37494304,28951858,21671873,21671874,28951862,34644328,43917245,46577651,48938399,39015274,39015275,46274675,36954382,28453831,28453830,36954378,46832602,55298686,55298685,60335685,48938002,39014927,39014923,39014997,30426314,23021308,16780760,16780761,23021310,30426318,37518282,28974550,21691959,21691958,28974545,23021263,23021264,30426227,39014914,37397870,28857051,21584084,15559668,15559667,21584082,23021323,30426337,37853392,37853391,47776589,59175275,48937988,39014918,30426229,30426231,39014920,40254474,49325287,39397037,39397038,49325291,49720254,61198652,61755703,50275432,50275433,59548774,60335767,48938092,39015023,30426309,30426310,39015024,48938096,40253953,31566508,31566507,40253950,50275307,40254073,40254072,48937977,48937982,60335671,48938069,268275902,36784887,30426331,30426334,39015050,47776584,47776585,59175270,50275816,40254487,40254043,40254044,50275400,61755674,74539705,85935671,99890721,87574906,74539667,61755636,61755637,74539669,65227424,53238740,42787455,33756522,33756523,42787459,46274700,36422075,27963744,27963743,36422072,46274697,40093556,31566642,31566643,40254135,31566886,31566561,29742262,22383174,22383175,21327181,255826447,37051744,40254209,48220740,38310876,38310875,40253966,40253965,31566837,24061247,17706240,17706241,24060976,17706072,12524408,12524409,17706077,24060989,31566513,38310762,29742140,22383073,22383074,29742146,38310770,47813265,37891456,29323528,29323527,37891453,29742267,22383178,22383179,29742270,38310869,40254229,50275585,50275449,40254099,40143852,40143853,268945457,38310801,48220675,50275323,40253968,31566518,24060993,24060995,31566521,40253969,50275325,50275288,40254385,31566869,31566870,40254386,48220523,48220524,256947424,257384546,42910268,39186888,39186889,40254287,38310852,29742253,22383169,16225364,11279154,7487161,7487159,11279149,16225356,22383167,29742249,38310849,40253991,31566882,31566883,38311044,31550293,31550294,40236244,40254424,50275496,48220332,38310493,29741914,29741913,38310491,29742410,29742411,22383512,16225586,11279277,11279278,16225589,22383516,22383120,22383119,29742201,31566580,31566581,38310781,40254195,31566819,31566820,38310642,38310643,31566704,29742033,22383261,22383235,22383236,17706203,17706202,24061198,31566783,40254281,37525220,37525219,41749218,32828546,25124137,18572132,13197626,13197627,18570978,18572095,25124078,26002886,25123981,25123982,32828376,32830003,32830002,33820051,33820052,32828540,25124131,18572126,13197622,13197623,13198774,13198773,18573744,18573754,25125159,25125157,32829806,32827166,25124105,18572114,18572113,25124101,32828428,32828361,25123968,18572007,18572006,25123966,32828357,33820033,32826882,255644489,13196863,13196865,18571035,25122703,32826662,32826666,32826665,26001435,19328904,268033453,6215759,254667483,13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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110525, s2 = 8062406, dlinesl.size( ) = 2 s1 = 14110525, s2 = 8062406, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14110525, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 536449, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14076457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9827821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7046126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14122751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14248855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14248855, s2 = 10159516, int(edited[s2]) = 0 s1 = 14248855, s2 = 10159516, d1 = 22, d2 = 21 Dl.O(d1) = 260756707,116563608,116563609,261327163,116563611,271881547,143729423,156255960,167844663,178282028,174163720,163313344,151434980,271749550,163313345,151434982,138739594,138739595,151434983,260464964,130403595,271422425,102464477,116563589,271881549,261868427,262374029,143729430,261868431,167844646,156255942,143729408,130403609,130403610,143729399,130403628,260159343,102464506,116563620,261327165,262374031,261868423,116563587,102464476,88460587,74827187,74827188,270920593,102464484,102464485,116563598,130403592,143729396,130403608,271422427,62030695,62030696,74827210,88460605,102464375,88460620,272414760,74827223,62030705,62030706,74827225,88460600,74827227,74827226,62030714,62030713,270406087,62030708,62030707,62030600,50539048,40503883,40503884,50539050,50539108,50539109,50539144,257688221,50539140,269009273,31808521,24293499,24293500,31808523,40503938,50539126,62030601,50539132,50539051,40503946,31808528,24293503,268451045,50539136,62030710,62030694,50539141,50539053,40503886,31808479,24293471,255596377,255596375,31808530,40503949,50539143,40503954,31808537,31808536,256049371,17911437,17911436,24293507,24293481,17911421,12689665,12689664,17911418,24293478,31808489,40503898,50539067,258920077,62030614,50539070,50539071,62030616,74827111,74827112,74827104,258297323,31808512,31808513,268914427,36951311,46829370,58195261,62030690,50539121,50539122,62030692,258920081,62030610,259545011,88460595,74827194,62030686,50539119,40503931,31808509,31808510,257688219,74827203,88460597,74827206,74827205,88460598,102464482,116563593,261301234,260131870,77781635,74827200,257688217,50539120,62030687,74827196,87806253,87806252,101778755,260710709,129724274,129724273,115825061,259288862,74202861,87806258,270803548,258037732,257643253,74202847,271298754,115825058,129724271,261088908,87806261,258662362,61424181,49946321,39928838,31253667,31253666,39928836,49946318,61424178,74202860,258920088,74202855,74202856,87639050,74827185,62030674,272254010,74035484,61255466,258239623,257630471,39758052,39758053,257630473,50539104,40503921,31808503,31808504,40503923,50539106,61255461,61255460,74035479,74827182,74827183,88460584,88460582,74827181,258920103,101605894,87639051,258986096,271506740,115646226,261237359,116563496,102464396,102464394,116563493,130403533,139530433,142848532,129531307,115646221,101605888,101605889,115646222,112295028,112295027,261008212,259807166,113860358,260159333,88460576,88460577,102464468,116563581,102464469,90284336,76454438,76454437,74827167,62030657,50539094,40503915,271340412,74827170,259545021 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14248855, s2 = 10159516, dlinesl.size( ) = 2 s1 = 14248855, s2 = 10159516, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14248855, Dl.E( ) = 24, 2.88e-05 seconds used appending s1 = 7903862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9756923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14082150, s2 = 7407741, int(edited[s2]) = 0 s1 = 14082150, s2 = 7407741, d1 = 0, d2 = 24 Dl.O(d1) = 1254788 Dl.O(d2) = 266343471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14082150, s2 = 7407741, dlinesl.size( ) = 2 s1 = 14082150, s2 = 7407741, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14082150, Dl.E( ) = 40, 1.69e-05 seconds used appending s1 = 6450421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6450421, s2 = 10346197, int(edited[s2]) = 0 s1 = 6450421, s2 = 10346197, d1 = 17, d2 = 4 Dl.O(d1) = 254605869,7297764,11022668,15900078,21999648,254997156,29329958,21999554,21999553,29329956,31186646,23696901,17374767,17374766,23696898,31186642,37898389,37103558,37103557,30676296,23260148,16997108,11911368,254818199,5217915,254260901,1862840,3182973,5217922,5083633,5083634,7987512,11935135,17019077,12113670,12113671,8295664,8145903,5218275,3183191,3183192,5218277,8145621,8145622,12114654,16023619,255451081,23541945,31022508,31021829,31021828,37766887,37766888,30669628,23254135,23254133,30669625,39265434,49191542,60591854,73336254,86947022,87572319,73974082,61195606,49716988,39698249,39698248,47681647,39850537,31168552,31168551,39755557,39755556,256169344,31697064,24189330,24189333,23659951,17343088,17343087,23659947,31146743,29085324,29085325,30693697,29081790,21783864,21783863,21788114,29085614,37635181,37635182,257306943,256995108,29911255,22554290,22554291,22554295,23781752,28031572,28031574,21786261,15727725,15727726,21786262,256215333,16373706,16373705,22550195,21662427,21662430,26946104,35026966 Dl.O(d2) = 40100158 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8006968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9824433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7983527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7953854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15450653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8033311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8033311, s2 = 11015739, int(edited[s2]) = 0 s1 = 8033311, s2 = 11015739, d1 = 8, d2 = 3 Dl.O(d1) = 37483755,256885953,58778367,71160794,58438795,58438793,58438810 Dl.O(d2) = 29137856,21830398,21830397,21831032,21831031,255429283,10916380,10916379,15762517,21830850,21830716,15762421,15762420,21830713,16233906,11285872,7492539,7492538,11285869,16233896,22393874,29754550,37699092,29138328,21830902,15762569,10916409,7219561,4548751,4548750,7219558,10916407,15762567,268232571,11519578,11519577,16528570,22734601,30115511,27243558,21832045,21832042,29139570,29140932,29754480,22393814,16233850,11285848,7492528,7492529,11285852,16233860,21166692,28384702,23955413,17608513,16841165,11777330,11777329,16841163,23096781,30063247,30063246,38637424,48551942,46516815,36649621,36649620,46516810,37698997,29138218,29138217,28384686,28384685,36881253,44613579,44613578,46516845,57872681,58128474,58128424,46760143,36881375,28384774,21166730,15209577,10491679,10491678,15209571,21166718,28384752,36649555,36649556,35388902,35388904,36649898,36649900,36649748,36649747,46516966,40127642,31447851,31447850,36649585,46516674,46516675,38637412,30063233,30063231,37698896,47622149,38324225,29754668,29754669,38324228,36649780,36649781,46516860,47622260,46516831,257405641,57872455,46516533,46516534,57872456,46516867,36649656,28173996,28173974,28173973,36649617,46516805,256900079,256900077,49085922,49085921,60489069,55720195,44813614,44813612,44813605,44813604,55720186,68116551,60489041,58656406,47264516,46517083,268603067,28174127,21547063,15529454,10740396,10740397,15529456,21547066,28815712,28174006,28174007,30558711,30558710,39156101,46516541,36649881,28174143,28174142,30558806,23141629,23141630,30558810,28174434,28174433,36650139,36649857,36649858,28174440,28174439,30620215,30620216,39217400,36649833,28174105,20992853,15078995,15078994,20992849,20993043,20993013,20993014,28174322,36649875,28174139,20992872,15079005,15079004,16881246,11810952,11810951,16881354,16881398,254812487,5010632,3029721,3029724,5010644,7889402,11811008,12586438,8538729,8538730,11891574,16978376,23244870,22341849,22341848,29695341,23422043,23422044,28174231,28174251,28173786,20992670,15079142,10400758,6856112,6856111,10400753,15079132,20993058,23198611,23198614,30620207,30558508,30558509,23141462,16881320,16881321,20993000,15079094,15079095,16881309,11810917,11810916,7889350,5010606,3029710,1762816,1004289,565938,565940,1004298,1762830,3029738,5010663,5010679,5010676,7889471,11811097,11891569,16978365,23244852,23422009,17145017,12049372,12049371,16058411,16058413,15024718,10352649,10352650,15024720,20932766,28109380,36581633,43327877,43327876,53852150,65919303,79282474,93410245,107833778,111842260,111842259,259356077,71958785,258730893,84038556,258633653,57802691,57802692,70503657,259260251,85057958,71486531,71486530,84038546,97908684,111842252,259879251,97908686,98983105,112972397,107833768,107833767,112972384,98983072,85057972,258074961,47371372,37465682,28925756,21649771,15616299,10804903,10804904,15616303,255850451,256884235,58757598,58757579,256884241,256884237,28925770,28925769,21649801,15616315,15616314,21649799,21649818,15616329,10804916,10804915,15616325,21649816,21649794,15616311,254742175,4495376,2700960,2700961,4495377,254506791,2700957,254338415,254742171,15616286,255850445,28925713,37465649,28925746,28925747,37465678,39421930,39421931,49351596,60754550,53376529,53376528,65380505,73503606,61770963,50291156,256554454,31582873,30406705,23001681,16761904,11714748,7816424,4958944,2994220,1738740,988083,267767925,2994218,4958941,7816419,7816507,7816508,7816412,4958937,4958936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8033311, s2 = 11015739, dlinesl.size( ) = 2 s1 = 8033311, s2 = 11015739, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8033311, Dl.E( ) = 16, 2.5e-05 seconds used appending s1 = 9794645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 669672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 498927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 498927, s2 = 11076274, int(edited[s2]) = 0 s1 = 498927, s2 = 11076274, d1 = 29, d2 = 7 Dl.O(d1) = 255102493,22603489,29968524,32723853,255473484,42610240,33586509,33586510,31755960,24244270,17868108,257103909,17902242,12681838,8613500,7578245,4793390,2889474,2889478,2889614,2889613,4793587,7578553,7578591,7578191,7578194,11404104,11404540,11404541,16006448,22120133,22852681,21075694,15138801,10441142,6883178,6883181,10441151,12539298,12539297,17723600,24080773,21148510,17534495,17534497,21657545,15622171,10808972,7142352,5466380,3361374,1976197,1128110,1128113,1976209,3361398,5466437,8460279,12491122,17664266,15858747,15858748,11950416,7999499,7999498,11950414,16386033,11404612,11404610,16386300,17664047,15891555,11016772,11016770,12367309,12367310,11404220,11404222,16385707,15622764,10809351,10809350,15622759,21657153,15622705,15622706,21658331,28936442,21658088,15622522,15622523,21148502,21658093,23296077,21657534,21657536,24011067,17664069,12490935,8460136,8460135,8460263,5466429,5466430,8460269,12491102,17664322,17180343,255539657,30891623,257035533,47744231,37822262,29257363,21936727,21936728,23174872,16910647,11834720,7909280,7909284,11834732,16910670,17180351,17180350,23458823,19105286,16910819,11834828,11834827,11834796,7909325,5027904,5027905,7909330,11834810,12079655,8122947,5204103,5204104,8122953,12079692,17180216,21936916,16910587,11834670,11834671,16910593,16910678,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175133,5204159,8123057,12079863,16006400,16006399,22120063,23175269,29257540,21936929,16910634,11834712,7909275,5027919,3043564,3043565,4832213,2911833,2911834,4832218,7637758,11483073,13641222,16233541,11285643,11285645,16233548,22393385,16386380,11404992,7578815,4793750,4793749,7578813,8852074,5769167,5769168,8852061,8852063,13002552,13002604,15040811,10983773,10983775,10983788,7270407,4584939,4584940,7270416,10983806,9341174,9341172,13641101,10480842,6910212,4339899,4339900,4936491,2978592,254369379 Dl.O(d2) = 112994190,99004903,85079362,71507257,257466086,255851674,21662630,254742844,9864066,9864065,14356000,14356094,20040520,17196575,12092280,8131956,5209971,3178572,3178570,5209959,6914473,10487111,15204217,15719192,21778258,22091119,17943158,17943156,24331561,20048761,14363005,9869703,9869702,14363002,20048754,26934957,26933320,20047053,14361227,14361226,20047051,26933316,21160548,15204228,15204227,21160546,28377908,36874737,255326526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 498927, s2 = 11076274, dlinesl.size( ) = 2 s1 = 498927, s2 = 11076274, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 498927, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 11063994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063994, s2 = 8379702, int(edited[s2]) = 0 s1 = 11063994, s2 = 8379702, d1 = 31, d2 = 22 Dl.O(d1) = 41704443,38085738,29521317,22178835,16052981,16052982,22178839,29521324,25090955,18545292,13177036,8982232,8982231,13177032,18545282,18545395,18545396,18545382,13177088,13177086,18545375,25091096,32788878,41704273,41704364,41704365,41704477,41704325,37934080,37934079,41704287,32788886,32788887,37934130,29367556,25091205,25091166,18545425,13177113,11057391,7331997,7331996,11057388,15934875,22036773,26132125,25825182,255045366,12676080,12676081,17895473,24275563,31788901,30354742,28282416,28282415,36778483,44784074,35360330,27237679,27237678,35360327,44784070,53107896,49801339,49801338,39782311,31103574,31103542,31103540,23618770,23618771,31103541,39782278,40908916,32131252,32131253,40908919,42162887,43209362,49434545,49434546,51380930,63069173,62681134,51050564,40908923,40908924,33985552,26145636,26145637,33985555,40628167,40628166,47677063,37754841,29193500,21881587,21881588,29193506,37754849,47677077,53107968,53107969,51050630,48137189,48137190,59524379,59517555,48130277,48130278,59517560,59517696,48130430,47677055,47677053,59077246,65545689,65545688,63331592,63331591,63331587,51607852,51607853,51607816,46749775,46749776,51050605,40908952,32131271,32131270,40908943,49434641,39503604,30896139,23462911,23462912,23462878,17183859,17183858,23462872,30896079,39503538,49434588,42003200,33059626,33059625,42003197,34310158,34310159,43411517,46475986,49434556,49434555,50697488,41381832,41381833,51607794 Dl.O(d2) = 257748933,61843794,256721388,32330178,32330180,32330163,32330164,41145035,47832019,37910324,37910325,41145074,32330197,24714370,24714371,32330201,41145079,32330209,32330208,41145086,41384262,50359843,41384275,41384273,50586005,40549915,31851567,256560037,40332855,40332854,32330169,24714352,24714353,32330171,41145048,51330402,63011308,258103002,75994962,74635811,61843792,50359932,40332824,40332784,40332783,257239888,40751258,47353067,50359845,40332743,31643782,31643783,40332747,50359838,40332736,31643776,31643775,40332732,40332753,40332730,31643773,24714300,24714299,32330104,41144951,50864934,40751270,31997359,268700785,50864926,62460371,54680409,51330320,41144961,41144960,51330318,51330401,41384233,41384234,51610315,63011314,51330413,48125560,48125559,257729299,41144958,32330110,24714306,18241646,18241643,24714302,32330106,38140719,48054046,38140506,38140505,37446563,28907478,28907479,37446566,47353087,48054332,38140759,38140758,38137743,29571626,29571627,38137747,48051001,59442639,59445844,72184016,72184955,59446832,59446833,72184959,85779296,89772911,75995004,72184086,72183882,72183881,59513104,48125607,38215282,29648736,22296746,22296747,29574008,22226990,16093497,11177951,7416488,4686694,2823975,2823978,4686705,7416511,11177989,16093558,22227097,29574182,38140478,38140479,48054012,51286319,48053952,48053953,48050686,38137413,256933735,30363590,22961985,16725795,11683470,7790918,7790919,11683475,16725808,22962009,30363629,38137674,29571555,29571554,38137339,38137338,29572901,29572900,29572917,29572916,38139173,48052445,48052446,59443933,59442536,59442537,48052443,48051007,38137761,38137762,38137647,268941847,48050661,38137386,29571473,22224838,16091641,11178231,11178229,16093878,22227570,29574785,38137723,38137722,38139238,29572963,29572964,29571314,22224703,16091534,11176218,11176219,16091537,22224710,22225116,29571615,22224992,16091800,11176486,254526761,4685744,7415308,11176489,16091805,22225000,29571630,256391525,22227593,16093889,16091847,16091846,22225052,29571454,38137378,29571263,29571262,29571271,256391495,29571707,22225080,255080845,7415353,7415352,11176295,7415121,4685586,2823160,1637905,1637904,2823148,4685528,2823536,1638160,931509,525020,294216,294191,162700,162699,294187,524967,931417,1637993,2823302,4685780,7415357,7415161,4685620,2823187,1637923,931382,931383,1637927,1637941,2823210,2823304,1637996,931419,931420,1637997,2823306,4685786,4685595,254236257,931630,931631,931842,525231,525230,931840,931237,524885,524886,931239,1637692,1638576,931773,525185,525186,931777,1638582,2824119,1638568,931769,525183,294309,162767,89465,89466,162769,294313,294251,162734,89453,49206,49207,89455,162739,294256,525072,525071,931609,1638310,1638311,2823749,4052345,2824272,1638689,931836,525228,294337,294336,525226,798376,452516,452514,452513,798372,1402920,931595,525065,294334,294280,162754,162753,294278,525136,931692,1638444,2822812,1637699,1637698,2822806,4685016,2823943,2823944,2824267,4686614,2823915,1638438,1638243,931556,525039,294227,294228,525043,931563,1638258,2823671,4686295,7415997,4686872,4686871,7416732,11177349,7415953,4686263,2823654,2823655,2824254,1638675,931822,931821,1638673,2824249,4686282,4686281,7415977,4686395,4686396,7416111,11177537,254769549,7416126,11177556,16093049,16092748,11177273,11177272,16090098,11177322,7415931,4686247,2823644,1638237,1638238,2823646,4686250,7415933,7416254,11177704,7416411,7416410,255080947,11177401,16092891,22226134,22226136,22226300,22226442,22227522,16093838,11178195,11177605,7416165,4686438,4686440,7416167,11177606,16093119,15787540,10937366,7236908,4562242,2743635,1590091,1590092,2743640,4562255,7236932,7416663,11178203,14440403,14440404,15787517,15787518,16089873,16089871,20133695,20133696,22226221,21633288,15602067,10793543,7131126,7131125,7448321,7448319,6528484,4090605,2447302,1414998,1414999,2447309,4090619,6528521,9933446,10596297,15341033,16157122,16089772,11174986,11174984,16089807,22222590,29569124,28751235,28751236,25592379,18982876,18982848,13545912,9273412,6074353,3800636,3800634,6074348,9273403,13545915,18982858,25592355,33352822,255674297,13545914,18982855,25592349,33352825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063994, s2 = 8379702, dlinesl.size( ) = 2 s1 = 11063994, s2 = 8379702, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11063994, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 11041060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341419, s2 = 5309467, int(edited[s2]) = 0 s1 = 10341419, s2 = 5309467, d1 = 57, d2 = 22 Dl.O(d1) = 21157038,15201414,269078682,36379215,27934737,20781984,20781983,27934736,36379213,46209882,57525367,60739093,49335582,49335583,60739094,62717633,51086363,51086364,46417321,36554159,36554157,255760390,31339650,23846961,17505186,17505185,23846960,31339645,40018893,50038338,44614002,35232557,256999380,31019857 Dl.O(d2) = 220075608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341419, s2 = 5309467, dlinesl.size( ) = 2 s1 = 10341419, s2 = 5309467, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10341419, Dl.E( ) = 58, 1.81e-05 seconds used appending s1 = 7893570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9354718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6686682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13405037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13405037, s2 = 11867907, int(edited[s2]) = 0 s1 = 13405037, s2 = 11867907, d1 = 3, d2 = 11 Dl.O(d1) = 101879680,112301116 Dl.O(d2) = 10522472,15252361,21221621,28447943,256846475,36818534,28322923,28322924,268419738,10840445,15659423,21699272,28322305,21112200,15166092,15166094,21112201,28322307,36818099,40935013,32156954,32156953,40935011,40935014,51076714,62707044,75652181,89413844,103507623,270970369,75652184,75652183,89413848,260194929,117637392,117637393,131438071,144660884,157059307,168506966,171467075,171467076,181480212,190270303,197858757,204326035,209721218,214145718,217778789,220811717,223394194,223394196,225627024,274441680,230770261 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342144, s2 = 1249635, int(edited[s2]) = 0 s1 = 10342144, s2 = 1249635, d1 = 11, d2 = 5 Dl.O(d1) = 9450943,13784542,19283004,254148152,13230627,13230628,17938429,12727195,12727193,12951558,9184937,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777844,8917541,6011442,6011438,9184718,13433806,18854904,25453643,268155136,52518418,52036293,41721024,256104246,25099609,254906682,13661053,9354939,6127622,3833773,2296912,2296914,3833411,2296778,2296777,3833410,6126855,9353888,9421224,13749858,17923498,13690772,9376190,9376189,6142264,3843247,2302833,2302834,3566261,3566260,5727802,8793404,12926223,12324041,12324040,11990400,8042561,8042563,11990401,17077214,12427638,8399499,5420224,3331984,1959591,1959589,3331978,5420214,8399482,12427610,17606198,23952064,23952065,31443698,40123059,40123202,31443828,23952201,23952202,31443873,31049438,31049437,31049417,23565089,23565090,31049391,23952162,23952163,23565065,17253764,17253765,23565068,31049380,268442713,23952189,31443801,31443800,40123174,256430662,39368155,30766575,23343384,23343383,30766569,31443906,23952234,17606229,17606228,23952229,31443901,25822326,19171880,17606150,12427584,8399468,5420204,5420203,8399463,12427573,17606130,23952066,31443700,40123066,40123096,33710992,25904595,25904596,33710997,31049427,31049426,39728291,39728290,49747445,39728274,31443846,23952183,23952058,17606125,12427567,12427566,17606123,17606172,17606175,23952140,31443805,40123177,48131143,38221092,29655151,29655152,30766565,39368142,49295509,40123049,40123051,40123273,33562057,25772667,25772664,25822331,25822330,23952087,17606147,12427582,12427581,17606142,23952073,31443704,40123075,50144157,59978710,48587121,48587122,49747487,39728318,39728319,49747492,61226766,61226743,58427606,47052964,37162201,37162202,39368152,31443691,31443690,32178935,40957818,51099734,269924655,89440312,85843845,72252364,59518410,48131134,38221089,38221091,48131139,40957843,40957842,50144135,50144136,61625931,70419650,79086302,75677138,62730902,51099728,40957811,32233751,24636106,24636105,32233748,40123071,40123072,40123091,50144170,61625957,72715682,74007566,61226760,49747480,49747481,61226765,74007572,84718998,71149227,58427600,58427602,60696900,49295519,40957824,32178936,32178938,40957831,51099747,48131130,48131131,59518405,72252363,85843842,72715697,59978726,59978725,72715696,74404496,62730937,62730936,65060161,53077808,42630305,33605382,25807606,25807607,33605388,32178930,32178929,24636101,24636102,32233744,41026122,51182697,62832753,72715620,72715621,86312478,100273881,100273908,86312513,72715673,72715674,86312516,77871138,77871139,259412121,75677153,62730920,51099743,51099742,62730918,72252358,72252359,85843839,99796517,113810539,103536261,89440325,89440324,75677166,75677164,258421068,106592710,92294441,78267252,64993709,53018613,42578432,33561741,33561740,42578430,53018609,258434651,89578907,75796765,75796766,75796768,89578911,103694393,259794544,101058023,101058024,105988331,105988330,117848418,117848419,123602893,113997375,113997374,102675548,102675547,258528906,65054767,65054768,67632521,67632522,77871167,77871166,91793707,269513882,53077801,53077798,65060152,78338984,92371826,81203461,81203462,74692675,269493236,92294435,92294434,89578909,77255872,77255870,75018134,62197152,62197153,59175541,59175539,71913255,64108922,52260100,52260102,64108926,77255561,91173867,81098051,67632511,67632509,257318200,89540466,86221845,72623165,59884444,59884445,72623169,86221849,99872977,85917745,75765632,75765633,85917730,72324470,72324469,85917728,84712962,72623076,59884392,48492479,48492481,59884399,72623086,71142988,71142989,65128633,65128632,78410168,92445738,106750363,106714415,92409177,258142786,92409170,78372505,78372504,92409191,106714424,98308065,84398997,84398998,75765608,62808311,60696964,49295572,49295571,60696961,73444866,87062366,84712972,71143010,71143007,84712968,98643341,85917750,72324484,59590031,48203578,48203577,59590025,72324476,75765635,62808329,51163817,41011518,41011520,51163819,62808334,75765640,84712938,98643323,99399150,88354880,74726665,61932918,50442176,50442177,61932922,74726668,88354886,92409173,102586346,98308072,84399003,70841804,70841803,84399000,84712945,71142992,58421242,47046366,37155546,28639783,28639784,37155549,47046373,58421254,71143014,84712976,98643350,112640060,99973606,86014223,72417966,72417969,85917733,99872971,103648745,89540482,75765623,75765621,259573174,102419444,259098908,116688022,116688023,126504845,259098912,259098910,269887500,53691645,53691644,65748341,79104076,260347245,135923814,259729880,114157927,100124018,86157759,72559472,72559471,86157753,73387513,60641275,60641274,73387508,87002763,100996043,102586329,88576281,74934516,74934514,88576277,102586324,112640049,100124057,86157830,258469664,59824228,61777938,72559553,74934510,81630952,68140836,55742936,44835066,35409765,35409764,44835063,55742930,68140829,72559480,86157768,88576293,88576292,79104054,65748326,65748327,79104056,258776256,100996085,115066763,128992537,115066756,100996072,87002799,73387556,73387523,60641282,49240639,49240638,60641277,73387518,87002771,100996048,107623455,93220545,79104093,65748356,65748357,79104097,83962160,72559549,59824232,48438233,38530183,38530184,48438234,59824237,72559560,76887587,63777388,55742920,44835056,44835054,55742915,59824158,59824155,59824164,72559482,86157773,87002782,87002779,258152378,100124030,100124039,95351577,81295371,67829553,55488412,44638461,44638462,55488417,67829559,81295373,87002778,73387546,60641289,49240644,268643166,73387537,73444792,87062300,97821122,97821121,97821125,97821124,109603833,101058012,87062296,87062295,101058018,115132637,114157931,114157930,115015730,115015728,116032130,115786065,101740477,87767631,81295349,67829539,67829537,81295346,95351547,87062326,87062268,73444773,270283752,101058005,88010061,74404821,74404822,85773340,85773341,74404798,74404799,81177483,95233135,101985470,88010045,74404791,61626198,61626199,74404794,88010049,101985476,101985456,88010034,74404785,74404784,74404789,88010041,101985461,95351773,81295618,74404573,61626026,61626025,74404565,74404564,88009777,101985227,88009791,88009792,101985244,101985251,99727127,99727125,95351545,95351544,87062336,73444828,73444827,87062332,100968075,86982121,74404818,74404819,61626216,50144408,40123335,40123337,50144414,61626203,74404803,88010054,101985483,92907598,81295547,270664211,109603915,116032301,115132633,101058001,101058002,101985450,95351555,81295354,81295355,84397606,70840129,70840130,84397615,84397617,84397618,98306724,112288992,101985246,88009796,74404584,61626032,61626033,74404589,81295380,95351594,101058050,87062340,73444830,60696937,60696938,73444835,87062345,88010055,74404808,61626208,50144421,40123343,31443942,23952256,23952255,31443938,40123333,50144405,61626211,74404813,74404774,61626190,61626191,74404776,88010027,101985235,88009785,88009784,101985233,259056182,89734243,89734244,84397604,84397603,95351514,95351513,88484507,88484506,81295549,67829733,67829734,67829736,67829739,81295384,81295385,95351597,95351604,95351605,109603854,259683216,86200400,72602945,72602946,86200404,95351739,269518034,67829755,55488582,55488583,50144386,50144387,44638636,35254144,35254145,257324679,67829802,81295595,259800113,270664215,67829768,55488657,55488656,257923963,259172991,81295393,67829580,270141569,59865000,55488437,55488438,257923955,44638608,35254123,27155182,20243718,20243719,27155185,35254127,269091960,67829762,67829800,75627314,67829494,55488370,48473486,48473487,59865037,55488632,44638647,35254150,27155198,20243736,14526096,9994953,6568775,6568776,9994956,14526104,20243746,27155216,35254024,35254046,35254045,44638492,55488390,44638444,35254010,27155116,27155115,22622513,16437455,11452280,11452282,16437460,22622516,29990389,38560373,35254028,35254027,44638471,44638587,35254107,35254109,44638591,44638600 Dl.O(d2) = 81295539,81295569,67829747,67829746,72602943,59864997,59864996,269333122,35254138,35254139,28387395,21169011,21169012,28387398,36883865,35254084,27155151,20243700,14526082,14526084,20243707,27155163,35254053,27155136,27155135,35254050,44638496,257923947,81295318,67829512,67829511,81295315,86200426,258544197,67829644,81295470,95351675,109603884,116032568,101985933,88010590,74405456,72602970,72602971,67829820,55488646,44638658,35254157,35254156,44638654,55488638,67829814,81295608,81295585,67829789,67829788,81295577,95351748,95351621,81295413,67829600,67829601,81295416,84015976,258007251,57781873,70482059,84015973,97884751,95351651,87062323,73444818,60696932,49295547,49295545,60696928,50144843,50144842,61626728,74405317,88010475,74405448,74405449,84015955,84015954,97884742,97884720,84015924,70482030,57781859,57781858,70482027,81630930,81630929,95664374,84015947,84015948,87917558,88010595,74405462,74405461,88010457,101985852,101985855,88010465,77734149,77734150,91662240,97884684,84015875,258631587,57781863,57781862,70482008,84015896,97884700,101985865,88010485,258268181,50144846,40123735,31444306,23952617,17606570,17606569,23952614,31444300,36562638,28092538,20918309,15012007,15012008,20918313,28092545,36562650,46426868,257796684,57781839,70482004,70482011,70482012,84015901,97884705,88010601,74405464,61626896,50145013,40123905,31444508,23952823,23952824,31444512,268998281,50145035,50145036,61626400,60358692,60358691,73096854,74405498,61626950,61626949,74405301,61626716,50144827,40123722,31444298,31444297,40123720,50144822,61626715,74405297,70481995,57781832,46426821,36562599,36562600,269297453,55224496,44373703,44373704,55224498,46426848,36562622,28092522,23952834,17606768,17606767,23952831,31444527,40123930,50145040,50145016,40123907,36562609,36562604,36562605,46426831,40123466,31444086,23952395,23952396,31444089,31444295,23952611,23952610,31444292,40123718,42913784,33868074,33868077,42913786,53380181,61626918,50145034,40123923,40123922,50145031,61626712,50145042,40123938,40123937,40123821,40123706,31444280,23952599,23952600,31444283,40123710,40123903,46426841,42913794,40123928,31444524,256529548,10341266,10341264,15011995,20918292,28092518,31444534,23952845,17606775,12428076,12428075,17606769,20918322,20918320,23952812,23952808,23952809,31444499,40123901,33868082,26045899,19366603,19366604,26045903,33868085,40123957,31444563,256023966,50144813,50144506,40123421,40123422,257076574,31444289,23952607,17606565,17606564,23952603,31444286,23952818,17606761,12428071,8399805,8399804,10341281,15012012,255366541,255366539,28092519,36562617,40123933,256023984,23952851,23952908,17606824,17606825,17606828,254855498,8399834,8399676,5420342,5420343,8399681,8399674,5420340,3332056,1959646,1959645,3332053,3332066,5420354,8399697,12427907,17606558,17606349,12427712,8399541,5420259,3332007,3332006,1959690,1119441,1119440,1959687,3332130,267911133,12427899,8399703,5420358,5420357,8399701,12427932,12427918,8399690,5420349,3332062,3332061,1959696,1959697,1119450,628078,348870,191249,104406,57386,32287,32286,57385,104402,191243,348864,628067,1119421,1959659,3332078,5420374,8399723,12427903,17606554,17606366,12427722,254186550,23952384,254597506,31444322,23952636,23952380,17606363,12428111,12428112,12427715,8399629,8399630,12427845,17606495,23952536,31444232,40123637,50144728,40123967,255181516,23952913,255571740,50145073,50144941,40123849,254597502,17606708,254186548,23952664,17606605,12427945,12427944,8399742,8399741,12427967,254404866,23952642,23952633,23952631,31444319,40123760,40123764,40123446,40123447,31444477,23952775,23952776,31444475,31444059,23952373,23952374,31444061,23952656,17606601,17606602,23952661,256023980,52015141,41704732,32789244,25091280,20355231,14611273,10053915,6606236,6606235,10053911,14611267,20355226,20355229,27289817,35414278,30788487,30788488,39390951,49319023,58298407,58298408,58298320,58298319,64424102,64424101,73469567,60721264,258215805,71013525,58298154,46932034,46932035,58298158,46932310,37053914,28553592,28553593,37053916,46932314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342144, s2 = 1249635, dlinesl.size( ) = 2 s1 = 10342144, s2 = 1249635, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10342144, Dl.E( ) = 12, 1.22e-05 seconds used appending s1 = 144804, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3343310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9801967, s2 = 10352756, int(edited[s2]) = 0 s1 = 9801967, s2 = 10352756, d1 = 36, d2 = 10 Dl.O(d1) = 6986797,10591353,15335045,21304095,28525998,28526005,21304104,21304106,28526008,37023953,37023843,37023844,31458860,23963816,23963815,31458857,31458885,23963836,23963835,23963839,23963840,28525920,28525919,37023864,46901598,46901679,256290808,50165137,46901647,37023925,28525984,28525983,35221437,34600825,34600826,43871050,54613507,54613511,46901526,37023775,28525832,25848255,19193306,13707842,255284031,25848249,21926328,255265704,37811209,40141336,37023919,28526042,28526041,37023989,46901660,46780476,46780475,36902664,36902663,256829300,58267546,46901678,37023979,37023980,255802510,43871037,43871226,256198979,255313771,9752318,9752319,14186453,19805356,26613663,34600959,43871153,54613467,43870990,34600986,26613683,19805333,14186422,9752292,6412274,6412273,9752287,14186412,255726609 Dl.O(d2) = 90112147,270025518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9801967, s2 = 10352756, dlinesl.size( ) = 14 s1 = 9417685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9417685, s2 = 7978904, int(edited[s2]) = 0 s1 = 9417685, s2 = 7978904, d1 = 23, d2 = 27 Dl.O(d1) = 29363340,37930135,38700586,48615954,44369113,44369114,47850366,38701338,30124397,22743739,22743740,30126240,38702146,38701244,38701243,38699966,30122728,30122726,38699958,44369060,44369061,55220252,67563911,72742151,72265123,72265122,81029401,95087755,99326503,86338951,72742883,60007835,48617836,48617837,48615947,48615946,60006468,67563915,67563868,55220220,55220219,60006508,60006507,67563886 Dl.O(d2) = 49230976,60632047,59942690,48550508,38636144,30062199,22684883,22684885,29456722,29456721,38018729,47932611,47932634,39303804,30705908,23289705,23289474,17030051,17030052,23289480,23289901,23289900,255974943,23290697,30706966,30706084,23289885,17030372,11945132,11945134,17030379,17031328,17031327,23291061,30706297,30113687,30113686,23290107,23290108,17031653,17031654,23289464,17031643,17031642,23291487,23289522,23289523,23289498,23289497,30705593,30705686,30705687,30706353,23290192,17030642,11945340,11945341,11945441,11945886,7995943,5090022,3088819,3088818,3088822,3088823,5090035,7995963,11945896,17030140,23289636,23289405,23289403,17031545,17031546,23291354,23290042,17030492,17030491,17030555,11945251,7995522,7995523,11945256,17030326,17030325,17030559,23290130,23289268,17030571,17030570,17030188,17030187,23289675,17030585,17030583,11945813,7995906,7995296,7995295,7995288,5089659,5089660,7995293,7995209,5089611,5089608,3088871,1804064,1030080,580444,580443,1030075,1804041,3088834,5090051,5089959,254565415,11945720,255528029,17030423,23289643,27956553,20795090,14902547,255015411,10441829,6883692,4321233,4321236,6883703,10441853,15139593,21076632,28281647,36777751,42903707,33858521,26037131,19359351,19359352,26037134,33858526,42903712,48975339,39053623,38855434,38855433,30587495,23169275,23169277,30587500,39185130,42268024,37766147,37766148,42435292,42435647,42435646,42268025,42268026,52257395,267909384,47687641,47047859,37157222,29204431,29204430,37766063,47687655,52840621,47687637,37766030,29204400,21891226,21891227,29204404,25681667,25681666,23169267,16905862,16905861,23169264,30587479,29204680,29204681,23168345,255965989,25430019,19051420,19051421,15813960,15813961,21177987,21177988,28398236,30587937,30587938,37763823,32469550,32469549,37764942,37157028,29204281,21891146,21891145,29204278,37765872,33287999,33287998,42268092,47686779,39865858,31183413,31183414,39865860,49888048,48704287,48704288,52840601,52840602,60109904,52653908,42268010,33287896,25527549,18917969,13486713,13486712,18917966,25527543,33287892,33442643,33442642,42268008,52653904,42435324,42435325,33442721,25672446,25672447,256660755,52840632,47320022,37411556,37411555,47320020,52550173,269351412,52556782,42197661,33237194,25487947,18884490,18536986,18536985,25080277,25082251,32779528,37995053,29432660,22100624,22100623,29432657,36895686,29432670,22100633,17298939,12177149,8208921,8208920,12177148,17298937,23611795,31095581,27935620,20782653,14895365,14895364,14895331,10242191,6729824,4216531,2520988,1452732,1452730,2520985,4216523,6729806,10242152,14895267,20782519,27935459,36379846,32979093,32355131,24739354,24739353,32355130,32778428,25081004,18537478,18537479,25081005,25292936,29203451,21890571,20782051,255598536,14894960,18538424,13172306,8979153,5862165,3659763,2189552,2189553,3659765,5862169,8979164,13171466,9201026,9201027,12177152,8208921,8208920,12177148,17298937,23611795,31095581,27935620,20782653,14895365,10242212,6729836,4216538,2520993,2520992,2811145,4666156,7386046,11135442,16037283,16037313,11135458,7386054,4666161,4666162,7386056,11135460,10242029,6729744,4216494,2520974,2520973,254479305,10242021,14895008,20782105,25487953,33237201,42197672,52556792,52041602,42191377,33231134,28761831,25805419,25805420,23824453,17487470,17487469,23824451,18884469,18776424,13372018,9139246,8329316,5375748,3305597,3305596,5375746,8329311,10242200,6729828,4216533,2520989,1452732,1452730,2520985,4216523,6729809,10242159,13372025,14895608,13680556,13680555,14895012,20782112,15568305,15568304,14895468,10242274,10242276,14895475,14895512,20782863,23824514,23824515,27935830,21595048,15568158,15568157,21595040,27935660,33237181,25487939,18884486,13457532,9202938,6025200,6025199,9202936,254808866,25487922,33237165,42197627,52556738,57525459,57525886,269415724,46656551,36771650,31747539,24236513,17861690,12648690,8587904,5580279,5580278,8587897,12648675,17861667,24236473,24236550,17861711,17861712,24236553,22812571,22812570,30203895,38788653,40442128,40442136,40442135,38463018,29905749,29905750,28907086,21633000,21633002,28907093,37446253,29787023,22422222,22422220,29787015,24014817,24014818,31515770,31515807,36777610,28281540,21076555,21076554,28281537,36777520,36777519,40441954,31747412,24236421,24236422,31747420,40441961,31747513,24236494,24236495,31747517,40442011,40202598,40202597,31516015,24014968,17667039,12493023,12493022,17667035,24014960,31516001,40202477,31515878,24015065,24015064,31516170,31516199,40202864,40202862,47352796,37446247,37446246,40442040,40202786,31516106,24015024,24014820,17666969,12492992,12492991,17666966,24014816,28907075,37446228,47352777,50224439,40202113,40202112,50224436,50224447,50224469,40202137,40202139,50224474,40202717,31516063,24015003,24015004,31516067,40202726,50224949,40442113,40202649,31516005,31515981,24014954,24014955,31515987,31515625,24014721,17667093,17667091,24015056,31516165,31515852,31515853,38465798,29908387,29908388,31515603,24015038,17667082,12493045,8461536,5467206,3361843,3361842,5467201,8461525,12493019,17667030,24014948,31515966,40202104,31515589,31515591,29908352,22551921,22551922,29908357,38465763,40202702,38465779,38465780,31516072,31516070,40202731,40202740,31516074,31516076,40202745,50224857,40202612,31515976,31515975,38465860,29908430,29908431,31516151,31516150,31516155,40202827,40202434,40202435,48367260,38465793,37147248,37147250,30847334,23417061,23417062,17666929,12492978,8461507,8461509,12492986,17666945,24014792,31515725,24014926,24014928,24014858,24014855,31515829,24015012,24015013,31516086,256535461,31515693,40202244,48613612,48613611,60004441,48613557,38698067,38698069,48613559,60004444,59123359,47725183,37803651,29239824,29239822,37803641,30121192,30121191,38698075,34249838,26372748,26372751,33206194,33206224,33206223,33206132,25458668,18859130,18859131,25458673,33206140,34211725,43309993,37803530,37803529,38698083,38698084,43310170,34211931,26338113,26338114,34211936,38698000,34211927,34211926,43310191,48613526,38698039,30121169,30121170,38698041,48613527,53834640,48613533,38698048,38698049,34211489,26337812,26337811,34211486,34211594,34211596,34211609,43309875,53834688,60006760,60006761,65901801,53834656,43309817,34211531,34211530,43309813,53834652,43310111,43310112,34211882,34211883,38701442,38701444,48616466,48613418,38697864,30120987,30120986,38697857,38701563,48613403,38701551,38701543,255110436,30124702,30124701,30126658,30126656,38701567,38701568,38701361,38701363,48616353,38701172,30124211,22741645,22741644,30124209,30126896,30126785,22744202,22744110,16536306,11525535,11525536,16536312,22744415,30126952,38701376,30124427,30124425,38701372,38905578,30318792,30318791,37126846,37126847,47014017,52710404,42323309,38700881,38700882,38700645,38700468,30123351,30123350,22741376,22741377,30123918,30126750,38700935,30124706,22742222,16534387,16534390,22740799,22740796,30123372,30124213,28812228,21544409,15527565,10739127,10739126,15527563,11525514,7667372,7667373,11525522,16536286,16536143,11525433,11525432,11522398,7664793,7664792,11522396,7667347,7667348,11525480,16536207,22740281,16532842,16532845,22740454,30123060,22744233,16536164,16536163,22740468,22740467,22741084,16533342,16533345,22741089 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9421495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9421495, s2 = 11066267, int(edited[s2]) = 0 s1 = 9421495, s2 = 11066267, d1 = 9, d2 = 11 Dl.O(d1) = 155591892,143041883,129711288,115812684,101766922,87794591,74190984,61412002,61412001,61412004,49933427,39915201,31239692,31239693,268031798,41426535,32566378,32566377,35182461,35182460,268506018,20244695,27156396,35255438,30817662,28344287,28344286,28410729,28410730,23836484,23771947,17443237,12295863,8304611,5358270,5358268,8304605,12295852,17443215,16086343,11172523,7412540,4683837,4683838,7412546,8711021,5670633,5670635,8711031,12811972,15223917,17251236,12131817,12131818,14405437,11172774,11172601,7412578,7412574,11172587,11172669,8296615,8296613,12285212,17430047,12297731,8305709,8305712,12297708,12295519,8304442,8304438,12295536,17442632,23771081,31255575,39930590,49274108,60674583,268827868,73421747,87039293,101035569,115110025,129038510,142412575,155057849,156784974,144374488,131143433,117340259,103210368,89121814,75374890,62460301,60173911,60173912,51120437,40978227,40978226,256753280,40751169,40751168,46415256,36552182,28083247,20910183,20910182,28083245,24439131,18023756,12774494,8683066,5650173,5650172,8683064,12774491,18023753,24439126,31894620,39351476,39351475,49278127,51436873,41238908,32413715,31997253,31997254,40751166,41690341,41521097,33952034,33952032,33952033,256499036,53486972,65510351,78842632,92949245,107353974,272423867,135679140,135196064,121343607,107045704,92706172,78644535,65342457,53341188,53341187,62211513,50691865,50691866,62211514,258179362,71532247,58803212,58803213,68073910,81563757,71532264,71532265,85103402,99027855,85985116,85985115,258752406,121343606,112910247,98922733,88293961,74668799,61876910,61876909,74668796,88293958,102286923,102286922,102113122,88125288,74512956,61731099,50252243,50252242,255901154,37824310,37824309,47746333,59144907,61876897,50387377,40352548,31657851,24147663,17781032,17781031,24147661,31657847 Dl.O(d2) = 40210102,40210170,40210171,37180595,28661020,28661021,37180601,31524195,24022419,24022418,31524190,36430088,27971385,27971384,36430082,46282923,46282800,36429979,36429978,46282797,48095341,48095342,59484506,61711225,57627228,48268571,256395338,31524129,31524128,40209987,31524246,24022460,17672737,17672736,24022455,31524239,31524214,255189166,40210341,254408812,17672811,17672742,17672741,24022467,31524257,40210173,40210178,50230862,40209916,31524071,24022339,24022340,255189172,50230863,61711107,61711232,61711231,61711223,61711224,61711350,50231133,50231134,61711140,61711141,59655255,48268572,38358091,31524211,24022431,255189161,8465127,5470917,3365597,3365599,5470921,8465130,12497183,17672730,24022445,268684271,47074433,40210144,256030046,17672744,12497192,12497193,17672746,24022472,31524261,40210179,50230869,50230868,50231147,40210185,31524265,31524266,40210190,40210119,40210120,50230900,50230899,50231117,61711340,74493298,74493297,61711152,50230918,40209957,31524104,24022358,17672693,12497158,8465117,8465118,12497160,17672698,24022368,31524114,40209970,50230943,61711183,74493333,88105214,74493334,258275330,83832103,70306961,59942753,48550564,38636179,38636178,48550562,59942748,72681776,74554277,61770644,50290815,50290807,40269564,40269565,50290810,50290819,50290818,50290817,40269569,40269568,40269570,38278624,38278625,48187955,59574091,52348105,42008899,33064851,33064850,42008897,52348102,64198376,77345828,91265792,77345824,64198372,52348100,52348099,64198369,77345820,88452715,74819191,62022196,62022195,258919285,93233406,102456546,88452707,85985119,269813521,48269516,38359164,38359163,42877638,33834900,26015987,19341121,13832055,9487354,6221626,267937491,13832053,19341119,24358485,17989661,12750684,8665968,5637980,3504088,2082894,1197492,674264,375121,205676,205679,375139,674316,1197630,1197758,674388,674393,1197786,2083410,3504920,5639171,8667508,6222757,6222758,9488820,13833987,19343440,26018631,33838001,42881318,53345602,65347903,78651119,92713806,107053548,121350790,115199080,101121205,87123172,73504385,60755334,49352363,39422715,30817452,23387926,255006498,12028036,17116139,23387927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9421495, s2 = 11066267, dlinesl.size( ) = 2 s1 = 9421495, s2 = 11066267, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9421495, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 11066268, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11137980, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14120439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 476098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6493105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6493105, s2 = 11062561, int(edited[s2]) = 0 s1 = 6493105, s2 = 11062561, d1 = 5, d2 = 14 Dl.O(d1) = 255183214,39515744,49447612,40149882,31466238,31466239,40149886,40290362,31607416,31607417,40290364,50311407,47287761,47287764,44801235,44801236,46357112,46357111,50176712,40151370,31467520,31467519,254856548,61662745,74446279,254598302,46327218,36471917,28011554,28011553,36471916,254273290,26978752,20090291,19122246,254758406,21656831,21656830,25409098,256124683,42103670,269501729,61922857,50433001,40399711 Dl.O(d2) = 269964495,76669955,76669956,258780022,100177641,86213837,257547190,114210068,104699741,90532866,76669967,257750557,41520413,41520414,51798160,63583777,258364569,51798170,41520419,41520420,51798172,51798143,256423592,24964878,18446147,18446146,24964876,32634534,41520393,51798135,51798123,51798122,63583746,76669934,90532842,76669925,63583740,63583741,51798147,51798146,63583767,63583773,51798155,41520412,32634545,24964883,24964884,268727915,24964874,32634530,41520384,41520415,32634549,255635641,13103388,13103389,18446152,24964889,32634544,41520382,41520359,41520360,51798102,258364567,257547176,89955878,76148199,63140656,51441638,41242616,41242617,51441640,63140659,76148202,257769210,63140634,51441615,51441616,51441654,256856480,32416573,41242608,257735969,51441636,41242615,41242614,51441633,63140651,63140638,51441619,41242605,41242602,41242601,51441614,63140632,76148181,76148209,89955890,104086714,259637930,76148208,63140666,51441646,51441645,63140664,76148205,89955872,104086707,89955867,76148184,76148185,259296282,258975843,104086723,118246247,118246238,271024544,114321193,100290545,86328174,86328173,100290542,100290539,100290540,89955862,76148182,76148183,89955864,89955887,260219273,128204445,114321191,259010622,259010620,114321185,114321187,114321188,128204440,114321183,114321184,126392144,118246241,118246242,132065196,139767537,132065199,118246245,104086721,104086720,118246243,112521722,98526985,98526986,112521724,126392146,139767543,126392148,126392132,112521709,112521708,112521728,98526989,90200060,90200059,258983970,84602182,98526988,112521727,104355283,104355282,118541954,132384493,260824180,112521714,112521713,118541947,118541946,104355276,104355277,118541949,104355280,104355281,112521712,98526976,84602174,71038131,71038132,84602176,271301111,126392140,126392141,126392142,139767542,143911434,271589958,126392133,126392134,116773086,116773085,130601373,136768436,136768435,139767535,139767534,142160857,132384485,132384484,122937678,122937677,258452138,139767533,270563788,98526969,84602169,84602168,98526967,100858786,257113204,60521053,60521052,73266194,86878279,94387525,80333860,80333861,268509502,60521055,49119677,39191572,39191571,268453828,73266191,80333858,66907676,54651280,54651279,255699160,66907672,80333853,256684622,269109866,90458549,90458548,76600098,76600099,90458551,76600104,63520602,51742835,41474130,41474131,51742837,63520605,76600102,76600101,76600100,86832753,76600106,76600107,76600094,76600095,73220231,60473862,60473861,73220229,86832752,73220243,73220244,271363897,73220246,60473873,49070783,39140759,268422067,23123975,30542342,39140763,49070787,60473876,73220252,84978474,71404399,58670198,53515861,50096646,256525889,31394496,40075835,50096645,61576491,58748845,47361983,47361982,48736040,38815721,38815722,48736043,60130755,72867589,71025009,71025010,84589335,86463037,257560518,61379822,257560526,49899295,48736044,48736045,60130759,72867594,72867597,255493922,72867590,74716025,61922880,50433021,50433022,61922883,74716019,256435900,50433017,61922875,74716017,87764842,87764843,87764854,74160421,65567263,65567262,61379819,255936494,87764836,257560514,84450512,70893648,58179599,58179598,70893645,84450508,98360197,90849691,90849692,78902453,76970783,76970784,269087886,105029295,90849656,76970791,258793078,105029299,269434128,103238403,103238401,106771387,92465683,90849701,90849639,90849641,105029290,119222306,117367775,103238380,89148265,75401270,62483291,62483290,75401268,89148261,89148297,75401302,75401299,75401300,89148277,92465685,92465686,84602304,84602303,78429470,65147435,53163018,42713345,33683430,25877162,256158599,42713343,53163014,50883864,40767816,32011767,32011766,40767812,50883855,49899285,49899286,61379810,74160385,75401249,75401250,62483315,50883869,40767821,32011771,24451315,24451314,32011769,254884062,62483308,75401292,89148289,89148271,78429432,65147404,65147405,78429435,76432068,63388363,256568972,89148249,89148309,257703724,63388365,63388364,76432069,75401258,256059906,99759380,87835303,87835302,269434132,103238398,89148291,256568978,257703752,78429442,76432055,63388355,61379815,61379814,74160395,73209461,60462694,49059099,39129156,39129157,49059103,60462698,73209468,62217785,62217783,73209444,60462684,257006620,30530690,39129155,49059097,60462691,258818518,73209499,60462724,49059120,39129165,39129164,49059118,60462718,60462727,60462728,73209503,257808434,73209481,73209482,60462755,257006624,30530703,23112393,16853536,255517043,30530696,257007723,60462735,73209502,73209497,73209496,86822209,100803380,86822227,73209529,60462749,49059135,39129179,39129178,39129199,30530712,23112401,16853540,16853539,23112398,30530711,268967625,60462795,73209575,86822151,73209414,60462671,49059081,39129147,30530686,23112385,23112384,30530683,39129143,49059072,53499773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6493105, s2 = 11062561, dlinesl.size( ) = 2 s1 = 6493105, s2 = 11062561, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6493105, Dl.E( ) = 18, 1.29e-05 seconds used appending s1 = 8127146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13183407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8093976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1266637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1266637, s2 = 6839666, int(edited[s2]) = 0 s1 = 1266637, s2 = 6839666, d1 = 16, d2 = 79 Dl.O(d1) = 31798569 Dl.O(d2) = 259074268 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14522309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14522309, s2 = 8195029, int(edited[s2]) = 0 s1 = 14522309, s2 = 8195029, d1 = 22, d2 = 20 Dl.O(d1) = 258196744,31802597 Dl.O(d2) = 258196743,271363807,100895280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14522309, s2 = 8195029, dlinesl.size( ) = 24 s1 = 15490201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8040873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1612985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9823659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 515985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8625032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8338973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8153711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149939, s2 = 9609574, int(edited[s2]) = 0 s1 = 14149939, s2 = 9609574, d1 = 4, d2 = 17 Dl.O(d1) = 266462178 Dl.O(d2) = 157137085,144739305,260218284,89482011,75718048,62769903,61342283,49858729,39835040,39835038,49858728,40992809,32209332,24618178,18167613,18167615,18469308,13121286,8943361,8943362,13121258,13121260,11131426,11131429,16031447,16679005,18073117,12812819,12812820,8718261,5674923,5674924,8718262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149939, s2 = 9609574, dlinesl.size( ) = 2 s1 = 14149939, s2 = 9609574, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14149939, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 14028800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14028800, s2 = 11144981, int(edited[s2]) = 0 s1 = 14028800, s2 = 11144981, d1 = 34, d2 = 28 Dl.O(d1) = 49884649,39862139,31179583,23690064,23690063,23690049,23690050,27094936,27094937,27123459,35216222,44596060,44596057,55446243,256188006,85019625,71447027,58715919,47326918,41778519,254728238,13213484,9007118,5879701,5879702,6280187,6280189,9570553,13943662,14499106,13683146,9378127,6143605,3844167,3844168,3842949,3842950,6141811,9375488,9369097,9369100,9375454,254289758,254289760,13689824,13689825,19170565,25820789,25818793,268259618,42646788,48974214,60369993,53698989,43187180,34101560,26238134,26238133,32524602,41373765,41373760,32524594,24881097,24881096,32524591,40528676,41373751 Dl.O(d2) = 29085929,37635744,41628379,41628378,257756653,41628340,32722046,32722047,32722084,41628396,51931558,51931546,51931547,58922082,58922081,53944532,43417915,34316582,32722067,255639139,13144922,8959035,8959036,13144925,18501839,25035236,32722074,41628381,257167989,32722058,32722059,41628359,51931530,41628390,32722079,268732113,32722075,32722076,41628385,51931533,41628363,41628364,256613795,32722070,32722064,32722063,41628369,41628373,51931541,63741818,258484251,257756661,41628392,41628402,41628346,257167983,51931542,257167993,41628386,41628399,51931560,63741830,76846698,90718592,90718593,85426522,71840438,63741788,51931505,51931506,51931548,257756659,73234007,86847033,79383050,66014684,53944535,43417917,34316583,34316584,43417919,53944539,66014690,76846662,90718585,91905624,258998119,63741790,257167981,32722045,32722044,41628338,51931504,59101208,59101209,49083728,49083727,60487149,63741759,76846649,270151288,114879031,257120094,100260812,100828279,114879041,123883979,137571459,149632124,142501247,129124087,129124086,116587056,102485716,88479467,86847020,86847019,86847026,73233999,73233996,86847024,100828268,91887873,77962903,64768108,64768109,64768110,77962904,258941178,259275683,98233589,84326316,259275681,91887865,91887864,257704704,86298155,86298154,100260814,257704702,91887869,77962901,64768107,269089877,33451278,42444318,52848513,64768112,77962906,70767238,58048706,46673893,46673892,58048704,258648941,259894955,115192297,129124084,116587051,102485712,88479463,258298384,74843857,62045639,257689198,102485682,88479451,258298386,102485724,102485725,102485723,257689204,74843868,88479469,102485719,116587035,130428648,258921274,88479456,88479457,74843865,62045645,50553022,40516809,40516808,50553020,62045642,74843860,88479454,102485693,102485687,102485686,259546360,130428670,116587071,102485733,102485734,116587073,130428672,131389654,131389643,117589577,117589576,130428656,116587049,102485708,88479462,75601828,62658964,51032418,51032419,62658967,63910370,77021627,89363539,75601835,62658969,51032422,258949911,89363524,89363525,103459162,117589586,131389651,130012885,116103639,102046411,88061347,88061346,102046408,116103635,130012881,131389613,258663552,103459123,103459137,103459136,117589565,131389627,117589574,261358925,144612009,131389647,131389646,143755151,156280165,167865033,160108097,160108096,157009275,157009274,260758218,130428668,260758216,144611988,144611987,144612004,131389639,260192185,89363517,89363518,103459150,260789175,131389631,131389630,144611997,155891153,167508186,168455367,157009252,144611979,144611980,147854384,134729123,120931273,106679143,106679142,120931269,131389633,131389632,131389634,131389635,144612001,157009265,157009267,157009268,147854382,134729118,120931266,120931267,134729119,271388378,131389637,117589573,103459146,89363515,89363514,103459142,271924228,131389620,117589562,103459133,89363509,89363510,103459135,106679140,92375580,78343038,65064066,53081265,53081266,65064067,257636272,106679145,102166358,102166359,116227189,116227195,130137627,116227198,102166375,88175692,85705829,259367840,102166374,89363507,89363508,102166362,258119442,74560906,85705841,72120656,72120657,85705842,99653990,260586091,131389617,259576618,98525570,84600756,72120647,72120648,72120651,85705837,259367838,113667271,117589609,259986022,75601844,258949913,85705839,72120653,59389301,48000716,38088906,38088907,48000717,59389303,62658973,270449061,260586088,75601847,62658980,62658981,258949915,89363491,75601795,62658940,51032396,48000719,48000718,269336994,62658975,258046030,24542668,24542667,32120550,40894610,51032423,269806674,61777502,50298028,40277552,31593232,31593231,24542661,24542659,32120541,40894602,51032402,55347257,257712497,40894593,32120535,24542657,24542655,268705325,51032388,62658931,75601783,88175671,74560909,74560908,88175670,98525561,91268078,77347993,64200328,52349863,52349864,257778191,77348004,64200344,257188895,42010513,42010514,52349870,61493112,61493111,74269821,77347988,64200324,64200323,77347986,64200330,52349886,256634227,33066345,25336785,25336784,33066343,42010517,257778193,258392911,91268060,77347998,64200334,52349867,52349868,258392915,64200347,259504369,74269791,257778194,64200348,64320886,77484660,74269825,61493115,50015253,50015252,61493113,74269823,87871289,87871310,91268083,91268084,87871276,259504370,87871297,87871291,87871292,101843215,87871283,74269816,61493103,50015248,39997191,31319891,31319879,31319878,257066641,31319870,31319871,269398165,61493107,50015246,39997186,31319888,23829858,23829859,17491713,17491714,23829872,31319868,23829846,268440373,39997167,31319918,23829886,17491723,17491722,23829835,23829836,268679825,31319920,23829887,17491726,17491725,23829878,23829845,17491701,12333061,8331445,5377136,3306466,1945219,1945218,3306463,5377128,254849473,12333077,8331454,5377143,3306473,1945221,1111297,1111298,1945223,3306476,254593297,12333089,17491734,23829905,31319941,256519847,31319843,39997131,31319928,23829892,23829894,31319931,268995345,39997133,50015196,61493063,74269779,77873678,91796120,260119217,105990875,105990874,120191514,129765035,115865731,101819269,101819270,271859037,260860726,103365976,260187515,101819280,87845128,74240045,74240044,87845127,87845135,75522455,75522454,87845125,75522460,75522461,89276907,271470553,261354445,143095530,261533282,101819284,259501985,87845118,101819277,115865737,129765040,143095529,134816099,121019154,259568192,259699193,271859041,115865742,129765042,117594283,117594282,271473689,271473686,51034978,51034979,62661908,75604949,89366836,75604959,65143064,257232901,33679082,33679083,42709160,53158836,62661922,51034990,40896909,32122470,32122469,40896906,51034984,53158838,65143059,270023489,61469922,49992495,49992496,61469923,74248238,61469929,49992501,39976350,39976349,269397549,61469921,61469920,74248236,259502719,112664890,101827371,87852855,87852854,98669428,87852856,87852857,259924961,87852852,87852853,78424680,259070499,84740588,71171183,58449004,58449005,71171173,71171172,84740576,98669422,98669423,84740584,259305647,81152768,67686952,67686953,81152769,95209895,109464462,95209898,259290210,44500875,35123021,35123020,35123029,27035869,20142997,14448747,255747589,35123031,44500882,43124081,34048343,26193894,26193895,34048345,43124082,257176843,256107941,18593806,18593805,23815140,255173199,8325350,5372888,3303704,3303705,5372889,8325353,5864212,5864213,8982378,13177303,18545692,25091504,32789506,41705032,52015499,63830635,257484100,64445952,52570940,42210313,38162822,29596262,29596263,38162824,48075679,258125635,81619538,68130049,258555481,74248349,61470003,49992546,39976379,31301686,23815145,17480565,267997539,3303704,3303705,5372889,8325353,5864212,5864213,8982378,13177303,18545692,25091503,32789505,41705031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14028800, s2 = 11144981, dlinesl.size( ) = 2 s1 = 14028800, s2 = 11144981, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14028800, Dl.E( ) = 36, 2e-05 seconds used appending s1 = 10197833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10197833, s2 = 7264425, int(edited[s2]) = 0 s1 = 10197833, s2 = 7264425, d1 = 55, d2 = 53 Dl.O(d1) = 2318577,2341492,2341684,2341685,3911201,6247557,268013808,19338276,268130034,42871786,256592108,48112336,255993952,22282097,16138070,15665829,10844798,7169183,7169181,7142934,7142933,10809874,7142926,4497467,2702382,2702381,4497461,7142909,10809852,15623409,15665891,21707673,21707619,18644108,13256703,13256702,18644103,21659347,21792259,15733784,254389784,254833230,28938178,21659471,21659470,28938176,37480226,37536970,28991878,21707650,15665877,10844824,10844823,15665876,21707648,23114545,23114546,30533187,30438057,30438056,39027600,32281312,24672763,24672762,21707634,15665869,10844819,10844820,15665872,21707596,23194580,23194581,28938166,28938167,30533166,39131775,49061549,47444912,37536919,37480032,28938001,21659331,268388987,32526033,30533071,23114464,21544625,21544622,28812466,37351012,30532994,23114394,23114395,30532997,39131624,40097509,50117963,60464744,49061534,39131752,30533140,23114512,16855293,16855294,23114515,30533145,39131758,49061538,51600250,60464629,60464637,49061386,40778003,40778002,50894199,49138999,49138998,50117960,50117961,49061511,39131730,30533129,23114504,23114506,30533131,257007805,49138972,39212171,255968315,23195125,30615617,39212169,49135768,39208914,39208915,49135771,39212183,39212184,49138990,60064201,60064202,72802185,73291097 Dl.O(d2) = 21448407,21448408,28700667,37226823,47124652,258058729,270293073,98720567,112715916,126580207,133614245,133614244,146870761,262895647,188743332,196536995,203211136,274033115,217176602,220312880,222971775,225263215,227254546,226749445,265367982,219523266,264730656,207426206,201544960,194558157,186402022,177044919,177044917,186402018,194558149,201544943,207426194,207426181,207426182,212275941,212275958,212275957,264730654,212275943,207426205,201544958,201544959,207426194,207426181,207426182,212275941,212275958,212275957,216238486,216238485,212275939,207426178,201544932,201544919,201544920,207426163,212275929,212275930,212275936,216238491,212275940,207426181,207426182,212275918,212275919,216238480,216238492,264471102,207426175,264730650,212275951,216238482,212275939,207426178,264535965,212275949,207426198,207426199,212275953,212275952,207426197,207426196,207426160,264535959,216238482,212275939,207426178,201544963,194558159,186402023,177044919,262178844,128766561,260531872,86836823,73224162,60477627,59913320,59913319,72653927,72653926,59913318,48519910,38604907,38262140,38262139,48171708,59558188,72292298,62953155,51278654,41100237,32290925,24680853,254380596,41100236,51278651,62953152,75934016,89713286,103819282,117966650,103819281,103819280,117966647,131795248,145054857,145054856,270876540,168956100,157490549,258212378,117966642,117966643,117966652,117966646,257604724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10197833, s2 = 7264425, dlinesl.size( ) = 12 s1 = 1556120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11231548, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2716667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9805879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7806471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105473, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11154910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8098477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8128696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14098662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7623237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11105346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9751427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998956, s2 = 3210790, int(edited[s2]) = 0 s1 = 10998956, s2 = 3210790, d1 = 37, d2 = 33 Dl.O(d1) = 26116853,19423598,19423597,26116851,33953757,33953520,26116630,26116631,33953524,33953816,33953799,26116889,26116888,33953795,43010366,33953598,26116677,19423374,19423344,19423346,26116627,33953517,43010282,48503851,38588941,38588940,43010290,33953528,26116708,26116707,30016452,30016451,22644468,16454240,11464502,7625605,7625603,11464497,16454234,22644456,30016481,38588934,48503842,257843005,43010297,43010298,38588974,38588891,256967947,47956166,38042606,29479400,22142013,16024368,11126147,7379797,7379796,11126146,16024367,22142009,29479395,38042580,38042579,47956127,55418451,47122811,38042754,38042753,47956314,59310353,59310352,53725929,53725917,43214014,43214013,53725914,43214026,38042725,29479521,22142078,16024402,11126168,7379809,4662279,2808830,2808831,4662284,7379813,11126170,16024411,22142102,29479555,38042771,38042693,29479488,29479489,38042684,47956255,53731607,256712298,256701025,49735201,55418454,44571343,38042266,29479079,256383917,47955779,49735199,39716592,38042755,35193314,35193313,43214008,43214007,47956178,47956180,59347346,59347348,72080962,72080969,59347356,47956110,38042563,38042559,29479374,29479373,38042557,47956103,59347344,72080959,85667246,99615716,85666988,72080597,72080593,72385801,59651331,48264318,48264319,53218172,53218171,51086642,51086641,62717836,67758498,67758497,74689282,61895561,50404916,50404917,55418463,50404913,50404912,55418470,44571366,35193332,27104235,27104236,35193334,31039124,31039123,39716583,49735192,47982135,38069878,29506330,29506329,38069877,37476451,28934915,21657008,21657009,18787855,18787854,25372375,268741707,52400701,64256059,77405798,67758486,59372231,59372230,257843007,43010307,33953538,33953537,43010304,47982147,47982146,44571391,44571390,55418477,44571362,37052927,37052926,46931233,55418465,53488480,53488479,55418481,55418482,59372202,72104765,71012674,58297280,58297282,71012678,72104814,59372278,59267111,59267110,47982043,38069785,29506232,29506227,29506228,37052942,28552800,21327887,21327886,28552797,37052936,46931242,58297299,257824470,47982058,47982057,38069868,29506316,22166267,22166265,29506313,22166292,16043701,11139990,11139980,11139979,16043673,22166250,29506292,38069844,47982111,43928556,38069764,29506215,29506216,38069766,47982013,46931239,38069801,38069800,47982062,59372206,257232270,38069914,29506365,29506359,22166298,22166299,29506360,38069897,44621255,254361742,22415302,22415300,22415301,29780632,38353240,48264320,51780981,41506227,32623339,24956207,18439547,18439548,24956211,32623342,38403204,29831023,22463579,16295305,11337622,7534173,7534172,11337617,16295293,22463555,29830993,38403178,29831004,22463563,22463564,29831009,38403189,30059306,30059307,38632912,38403153,29830978,29830980,38403163,48313966,38403260,29831067,29831064,38403256,41189154,41189155,40080055,40080056,39064376,39064377,48987942,60385505,269457683,51379346,51379330,256593517,32370887,41189199,38403252,38403247,38403246,48314043,59700916,72436727,59700922,48314046,48314045,53731535,53731536,51379322,51379323,258345543,86034578,257230530,258784739,74357386,61580614,50100720,50100721,61580618,51379350,41189216,32370897,24752544,18277912,12972663,8830226,254895549,18277909,24752541,32370885,41189194,51379325,60069653,63067459,72679191,72679190,86278720,86278763,72679274,59939953,48547632,38633342,30059656,30059657,38633344,48547639,269042363,32370865,24752533,18277906,18277907,24752535,268716041,51379299,63067480,59939912,48547596,38633321,30059645,22682755,22682757,30059649,38633331,255929476,72679237,81279454,72679212,59939908,48547590,38633317,30059643,30059642,38633313,48547585,59939905,59939871,48547556,38633291,38633290,48547550,52142434,255600084,72679185,84672493,98595493,88408921,85091822,71519422,71519423,67812151,55470530,44621261,35238657,35238655,31758043,24246161,17869578,12654375,12654374,17869572,24246149,31758017,40452804,40452812,50488984,61981111,74777390,71519429,58789605,47401852,37493946,37493947,47401854,47401843,47401842,58789598,71519414,67812236,55470608,55307590,44462504,44462505,55307591,67646587,58789587,58789586,71519409,256561212,71109267,58761972,58761973,52142445,52142447,58392363,47021140,47021141,58392366,58392361,47021137,44621269,44621268,40452828,31758033,31758032,40452826,40452784,40452785,47374441,37467707,28927104,28927105,37467711,41825156,32901065,25190585,18629834,18629833,25190584,32901062,41825151,40571698,31869005,31869006,40571703,37133643,37133642,47021266,58392283,47021331,37133695,28621424,21384320,21384319,28621419,37133685,28925610,21649623,15616158,10804812,10804811,15616157,21649619,28925599,28927108,28927109,31868853,24345730,17954401,17954400,24345470,24345469,28621325,21384263,21384264,28621329,37133533,47021086,37133670,28621409,21384315,15401162,10644838,7028233,7028234,10644841,15401168,21384331,28621448,37133723,47021376,58392653,71109412,74917028,74917029,85057806,81752331,68227322,58392626,58392625,71109393,84672480,85057810,71486396,71486397,71109401,58392636,47021355,47021354,58392634,58392630,53979889,53731093,53731094,55799750,44870357,44870356,37133698,37133699,47021343,58392624,50613080,50613079,62112598,74916814,88555340,74916819,68223565,55796937,44868590,44868589,55796934,53978503,43439821,43439820,53978499,66063394,66063393,68227326,55799760,44870363,44870362,55799759,63772494,76881729,68227339,66063391,53978475,53978474,66063388 Dl.O(d2) = 34131789,34131788,35558752,27389662,20423568,14656688,14656687,20423565,27389658,23379949,23379950,27642233,20589068,20589069,27642237,26264931,19544796,19544795,26264927,34131421,34321316,26444475,26444476,34321321,35558736,34131398,26264907,26264906,34131394,26265042,26265041,19545111,19545109,26265292,20423581,14656694,10081136,10081135,14656690,20423575,27389670,256181567,19544436,19544438,13995188,13995187,13995498,10483522,6911771,6911772,8634628,5615221,5615222,3958240,3958239,6315284,9614606,13995201,13995202,19544641,21155135,19544494,13995054,9614739,6315362,6315361,9614737,13995434,13995463,13995464,13995362,9614692,6315334,3958272,3958273,4636790,7340811,6899132,6315280,3958237,2370515,1372278,781176,442947,249494,249493,442944,781168,1372267,2370493,3958203,6315223,9614467,6315211,6315210,9614463,13994998,19544408,26264477,26264781,19544674,15782168,15782169,15557161,15557162,13995047,13995046,13995167,13995165,17109795,12023513,8083455,8083453,9614578,9614579,13995003,13995002,255711789,26264469,19544475,19544476,26264560,21854170,15782968,10933907,10933908,15782972,19544649,13995171,13995172,13995158,13995156,19544632,26264742,26264749,26264748,26264471,19544404,13994995,13994994,19544402,23379840,30808166,26264752,26264751,34131223,39413270,30808163,23379839,23379838,30808162,39413268,49342838,60745971,73494898,73494899,75971911,62989741,52930582,52930580,64856130,72893086,60157182,48763415,38843838,30260063,268235259,16636972,22864150,30260061,38843836,38843839,48763416,51666393,41424090,41424089,51666390,63409959,72893096,60157173,60157174,72893098,85658744,270316896,59337530,59337528,59337527,52663847,52663848,64564697,64564698,64564699,64564701,52663854,48763402,38843827,38843828,48763404,60157166,64564692,52663844,52663843,257908044,62038973,74835559,63409953,257908042,52663887,42276571,33295349,255669201,13490130,9229531,268026429,18922800,25533815,33295333,42276550,52663856,64564695,64564726,64564727,77747740,91675067,89721877,75942683,75942682,81084757,75942767,62961238,62961239,75942686,89721879,89721965,91675051,91675066,259157446,62961235,75942765,89721970,89721903,89721902,95142199,95142198,103827282,105882096,91675052,89721974,75942773,62961243,51285761,41105782,32295350,24684352,18217824,18217823,24684348,32295344,41105774,51285753,62961230,75942761,89721964,103827327,103827330,103827312,89721942,89721941,89721910,75942716,75942715,62961200,62961199,75942718,62961227,62961226,75942755,89721948,75942746,62961221,51285746,51285745,62961219,258964761,85946392,72351075,72351077,72351048,59616482,48229696,48229695,59616480,72351062,85946381,72351067,59616484,59616485,72351068,60560866,60560820,60560819,73304601,86915214,99335271,85391694,85391696,73304578,60560803,49161036,49161035,257595859,39234419,30636569,30636568,39234416,257595857,60560840,73304593,86915206,100896116,100896110,86915212,73304599,60560817,60560816,73304566,60560787,60560786,73304568,86915189,86915199,100896109,100896112,86915203,86915202,73304616,73304617,270872927,114949040,128849802,139754173,126378058,126378057,128849795,128849793,142207732,261114638,128849780,114949021,114949020,271832425,128849800,128849799,127363467,127363466,114949026,259973626,86915208,100896118,114949024,128849783,142207725,128849791,114949032,100896120,100896119,114949029,128849787,114949046,100896138,86915231,86915230,100896137,114949044,128849797,128849796,261787731,166548065,263106538,272185840,154843589,142207727,142207728,154843591,142207729,261114636,142139632,261784031,142207735,261429604,119235271,105042894,105042893,114994182,119235265,119235266,133065231,272369238,128896304,128896303,260666633,100896113,260067351,261241681,128896312,142248079,154882186,154771766,146292577,133065207,133065208,272241095,260536754,86956161,258689644,76986101,90864221,105042875,119235252,133065216,261244410,260265490,90864251,76986123,76986124,76986107,63875071,52056161,52056160,41741469,32820451,25116385,18565692,18565693,25116389,32820453,257174803,63875098,76986102,259021720,63875086,63875085,76986134,259632473,119235276,105042905,105042907,105042916,119235294,119235320,119235321,133065258,119235305,119235303,133065218,119235257,105042877,90864229,90864227,105042886,119235263,133065228,133065259,146292601,153203404,261687375,127181217,113321707,113321708,127181218,140527893,262684775,170018884,262665142,153210250,140527896,135642017,121698253,107317235,107317236,121698255,135642021,260536756,107317237,121698258,135642026,148890281,153210254,140527872,140527871,140527900,127181225,127181226,140527883,127181210,113321716,113321677,99318223,99318222,113321689,127181202,140527868,271790655,99318215,99318214,99310617,85365569,71775723,59033243,47631084,37708779,37708780,47631086,59033246,71775726,71775731,85365570,85365586,71775737,71775698,59033225,59033226,71775700,85365537,99310561,85365500,71775671,59033207,59033208,269328913,47631068,59033178,47631033,256358957,29148417,37708742,47631030,47631081,59033228,47631070,257480715,270310523,99310605,99310601,85365539,85365538,91255578,85365535,259340427,85365438,85365437,99310499,113314126,113314171,99310556,85365494,85365495,78679294,71775690,59033220,269798261,85365530,99310594,92742891,78679296,65374275,53370105,53370104,65374272,78679293,85365474,85365475,99310543,257244646,65544897,65544899,257244654,85365457,71775644,71775645,85365460,77560787,64392751,64392753,77560790,91491291,99310533,99310534,113314152,127173874,140520605,272413213,107083538,268293058,78679302,92742896,91491286,77560784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998956, s2 = 3210790, dlinesl.size( ) = 2 s1 = 10998956, s2 = 3210790, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10998956, Dl.E( ) = 38, 2.22e-05 seconds used appending s1 = 6422120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13475741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13475741, s2 = 8031452, int(edited[s2]) = 0 s1 = 13475741, s2 = 8031452, d1 = 106, d2 = 105 Dl.O(d1) = 21526804,28791268,37328065,28791329,28791325,32952077,32952074,41887318,37328150,37328151,47237483,47237938,37328386,256875511,58631208,71367099,257455427,47237272,58630413,71367098,72990960,72990959,84943589,71367141,58630462,47237317,47237315,58630458,58643655,47250861,37341058,28803080,255410885,10734746,10734745,15521446,21536552,28803071,37341042,47250843,58630407,58630406,58630281,47237144,47237143,58630280,58630811,71367473,58630817,47237600,47237601,58630823,47237820,37328306,37327691,37327692,47236879,37328163,28791329,28791325,32952077,25232364,25232360,32952067,41887309,52218528,47237290,47237289,58355936,58355935,58630117,47237005,37327779,28791117,21526721,15514296,15514295,21526717,28791104,28791306,21526818,15514340,10729888,7089498,4463871,4463870,7089496,10729884,15514331,21526801,28791261,37328054,47237433,47237432,46986242,46986243,47237444,47237445,58630617,58630350,47237208,37327915,37327914,37327905,37327904,257455413,37327941,37327940,47237053,37327823,37327809,28791134,28791135,28791296,21526814,21526813,28791295,37328113,47237541,58630165,58630167,255585714,48001372 Dl.O(d2) = 28715706,28181744,21479472,21479471,28736826,37246668,28715677,21459902,15459977,15459978,21459904,28715679,255969206,37246701,28736853,21479493,15476670,15476671,20999098,15476662,15476663,21479479,28736829,21479499,15476677,10702498,7070732,4451690,2674336,1549096,1549097,2674338,4451693,7070736,10702507,15476690,15476689,21479516,28736878,37268915,47174797,58563643,52466527,42113940,42113939,52466525,43211462,34124044,26258578,26258579,33775944,25966241,19300196,13799506,9463036,9463035,13799504,19300193,25966235,33775934,42808328,53261353,53261364,53723290,65779850,65779849,53723269,43211489,34124065,26258595,19539651,13991048,9611412,9611410,13991043,19539643,26258585,34124039,26258575,256181129,33775927,257239159,60455212,49051641,49051640,49894043,39871686,31188946,23699068,17377001,17377002,256004649,39871696,39253389,39253390,49179135,49051651,39121629,39121628,49051648,53723286,53723285,258244347,79134422,65779796,257260273,34123969,26258507,19539596,13991013,13991014,19539598,26258510,34123974,37865553,43211386,43211387,44570660,44570661,55417810,67757847,81223883,93249723,79134433,65779810,53723215,43211392,34123976,26258513,19539600,19539601,26258515,34123977,43211394,35338067,35338046,27214118,256236083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13475741, s2 = 8031452, dlinesl.size( ) = 2 s1 = 13475741, s2 = 8031452, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13475741, Dl.E( ) = 108, 4.48e-05 seconds used appending s1 = 9084497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9084497, s2 = 8339749, int(edited[s2]) = 0 s1 = 9084497, s2 = 8339749, d1 = 1, d2 = 1 Dl.O(d1) = 13028238,255629769,32489603,41337711,46621052,36732819,28238072,28238073,36732820,31036787,28016422,20850422,14950121,10284302,6759768,6759767,10284301,11529224,13307730,10329321,10329323,8127974,6806975,254324247,2552451,2221679,1288787,1288786,2221677,3709981,5933402,4265123,2549996,2549995,4265121,6800161,9084914,5942351,3715754,3715753,4264495,2549619,1468727,830868,468684,263580,145961,80256,43970,43967,80243,145935,263523,468594,830699,1468408,2549041,2625462,2625461,2551540,1469791,1469792,2551541,4264142,4264145,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178786,3178784,5210227,5217402,5925074,8125570,8653421,8653429,5955823,5955821,9102448,9102312,5955718,5955719,4280122,4280124,6822708,6831799,10369543,9093938,9093935,8213103,8213102,5373795,3304380,3304381,5373801,8326485,7274164,7274163,255064535,254830933,5209331,5209334,255541285,30913804,38355348,40501062,40501063,46926329,37048297,28548632,28548631,37048295,46926328,58014823,58014822,59693518,48306553,48306552,49199966,40505121,39273731,39273729,49199965,60147485,58880341,58880340,47500755,37596850,29049072,21755372,15701235,10869302,10869303,15701237,15701257,15495896,15495897,254864205,8477611,12513775,17692805,268391205,21755369,15701233,10869301,10869300,15701230,21755367,21755395,15701250,10869313,10869312,12513667,8477544,5479863,5479864,8477547,12513670,16714111,21755371,29049071,37596849,47500752,258084613,47500749,37596847,37596846,40244334,31558221,31558222,40244337,50263800,61742190,71090741,66928714,66928715,256456516,43860447,43860448,54603248,257000696,31558229,31558228,37525043,37525044,40244528,257000648,40244345,40245343,40245344,48356548,38454807,29897903,24054527,24054526,21699024,21699023,28981230,37525001,28981199,28981198,30191460,22801416,22801417,30191299,22801290,16584295,11564684,7697336,4871643,4871642,7697335,11564682,7697387,7697339,4871645,4871646,7697340,11564689,16584305,22801304,23860606,23048323,23048322,30455996,38775014,38775015,257120004,33006553,33006554,33006551,25281754,18709131,18709130,25281751,33006550,41948686,33006558,25281757,18709135,13316044,9096710,5951467,5951468,9096711,13316046,13289282,10394518,10378474,6838763,4290897,4290896,6838762,10378472,255154825,268199305,28139965,256753841,36613608,256822657,57836056,70537826,84074731,97948610,84342151,70783435,70783434 Dl.O(d2) = 13028238,255629769,32489603,41337711,46621052,36732819,28238072,28238073,36732820,31036787,28016422,20850422,14950121,10284302,6759768,6759767,10284301,11529224,13307730,10329321,10329323,8127974,6806975,254324247,2552451,2221679,1288787,1288786,2221677,3709981,5933402,4265123,2549996,2549995,4265121,6800161,9084914,5942351,3715754,3715753,4264495,2549619,1468727,830868,468684,263580,145961,80256,43970,43967,80243,145935,263523,468594,830699,1468408,2549041,2625462,2625461,2551540,1469791,1469792,2551541,4264142,4264145,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178786,3178784,5210227,5217402,5925074,8125570,8653421,8653429,5955823,5955821,9102448,9102312,5955718,5955719,4280122,4280124,6822708,6831799,10369543,9093938,9093935,8213103,8213102,5373795,3304380,3304381,5373801,8326485,7274164,7274163,255064535,254830933,5209331,5209334,255541285,30913804,38355348,40501062,40501063,46926329,37048297,28548632,28548631,37048295,46926328,58014823,58014822,59693518,48306553,48306552,49199966,40505121,39273731,39273729,49199965,60147485,58880341,58880340,47500755,37596850,29049072,21755372,15701235,10869302,10869303,15701237,15701257,15495896,15495897,254864205,8477611,12513775,17692805,268391205,21755369,15701233,10869301,10869300,15701230,21755367,21755395,15701250,10869313,10869312,12513667,8477544,5479863,5479864,8477547,12513670,16714111,21755371,29049071,37596849,47500752,258084613,47500749,37596847,37596846,40244334,31558221,31558222,40244337,50263800,61742190,71090741,66928714,66928715,256456516,43860447,43860448,54603248,257000696,31558229,31558228,37525043,37525044,40244528,257000648,40244345,40245343,40245344,48356548,38454807,29897903,24054527,24054526,21699024,21699023,28981230,37525001,28981199,28981198,30191460,22801416,22801417,30191299,22801290,16584295,11564684,7697336,4871643,4871642,7697335,11564682,7697387,7697339,4871645,4871646,7697340,11564689,16584305,22801304,23860606,23048323,23048322,30455996,38775014,38775015,257120004,33006553,33006554,33006551,25281754,18709131,18709130,25281751,33006550,41948686,33006558,25281757,18709135,13316044,9096710,5951467,5951468,9096711,13316046,13289282,10394518,10378474,6838763,4290897,4290896,6838762,10378472,255154825,268199305,28139965,256753841,36613608,256822657,57836056,70537826,84074731,97948610,84342151,70783435,70783434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9084497, s2 = 8339749, dlinesl.size( ) = 2 s1 = 9084497, s2 = 8339749, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9084497, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 13662469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13298037, s2 = 10984924, int(edited[s2]) = 0 s1 = 13298037, s2 = 10984924, d1 = 94, d2 = 47 Dl.O(d1) = 29333017,29706959,38273658,41992798,33049453,29902814,29693427,22962948 Dl.O(d2) = 255079100,254525714,20909997,15004825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13298037, s2 = 10984924, dlinesl.size( ) = 14 s1 = 6781855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9792033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9792033, s2 = 1732327, int(edited[s2]) = 0 s1 = 9792033, s2 = 1732327, d1 = 18, d2 = 2 Dl.O(d1) = 38095778,33070914,254442280,254916861,3736530,254442287 Dl.O(d2) = 44566844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9792033, s2 = 1732327, dlinesl.size( ) = 2 s1 = 9792033, s2 = 1732327, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9792033, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 14070644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14063095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9811365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9841363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8004097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086391, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9803959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7831393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050318, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1140672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1671828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8056574, s2 = 11646758, int(edited[s2]) = 0 s1 = 8056574, s2 = 11646758, d1 = 3, d2 = 8 Dl.O(d1) = 258371870,23768474,255170089,8303366,5357418,5357420,8303372,12293919,11138616,7388105,7388104,7862524,4990438,3014461,3014459,4990430,7862503,11776186,16839624,16839625,23095010,23095024,16840060,11776450,11776449,16840044,23095575,23095616,23095614,23095501,16839988,16839989,22103456,23095647,23095648,30511035,39107880,49037706,42371000,42371001,52770124,49037076,40223801,40223802,49037875,46511144,36643726,256825829,33381925,25616104,25616103,256657465,52770120,49037656,256461625,23095553,23095552,30510962,39107998,47972057,38059781,38059782,255960774,49036941,39107088,30510377,30510378,39107314,42370995,42370994,257667503,40223815,40223814,50243970,40223809,31537394,24034614,24034613,31537389,30510171,23094893,23094892,30510190,39107143,39107888,39107887,40223728,40223729,33953427,26116551,19423283,19423284,26116555,33953432,31537416,30514000,23098317,23098316,30513998,39111146,49040876,60444690,61722709,50243961,44478273,35101206,35101205,44478270,55324427,52161544,41840425,32913313,25200531,18637674,18637675,25200534,31537364,40223775,50243941,60441695,59368146,59368145,49801061,39782005,39782004,49801060,61279350,61722674,50243905,40223700,40223701,49801067,39782014,39782015,49801068,49801031,49154243,49154242,60553523,57661477,49037087,39107263,39107262,49037085,49037075,39107255,30510306,23094991,23094990,30510301,39107250,31537367,31537368,40223786,50243953,40223826,31537461,31537460,31537330,24034577,17683196,17683195,24034571,29502774,38066012,37810364,37810363,47732530,39782034,31103352,23618613,23618614,25472215,25472214,33218994,42177548,42177549,52535050,46317271,36464515,36464516,42177599,36464504,36464503,39782106,39782101,31103404,31103402,39782096,49801155,44360543,34982897,34982896,44360540,39782118,31103415,31103414,39782114,42370984,33381917,25616097,25616096,33381913,40276539,31592125,24088798,24088795,23782906,23782905,24034582,31537340,40223743,40223715,34982914,34982913,42177605,49801077,49801076,49801089,44795594,35370844,35370845,44795597,47978004,42177614,42177615,36464508,28005945,28005947,36464492,46317237,57661466,60441880,60441879,58828507,255661056,64407994,52535037,42177535,33218944,25472185,25472184,33218942,42177532,42099546,38926893,30340585,22939289,16703731,11663579,7774276,4926583,4926582,7774273,11663572,16703714,22939307,30340621,38926951,38927005,38927004,42177461,42177666,33219042,25472242,18871868,18871869,25472246,33219047,33218923,25472174,25472173,33218919,42177503,52535010,55211523,55211522,48847192,38926987,38926986,39106630,49036459,48847146,38926925,30340606,22939301,16703710,16703712,256451263,48847152,60240649,257031858,46757163,52535017,257104846,42177638,42177639,52535104,49471019,49471018,52534974,42177452,33218879,33218881,42177456,52534982,49382518,39454507,30850608,23420343,17143883,17143881,23420338,30850599,39454488,39454487,30850728,30850729,30851549,30851550,33219021,42177633,49383013,39455068,30851557,30851230,23420827,17144150,17144149,23420823,30851227,31131234,23643777,255162273,12202319,17327257,23420523,23420516,255984565,39454734,39454735,30850981,23420631,23420537,255984569,39454762,49382735,60783476,60441355,49037380,39107569,39107570,49037382,60441358,49382609,39454589,39454588,49382606,60783394,64398434,73188426,73188429,70703873,57986540,46610262,46610260,39454743,39454742,49382630,39454604,39454605,49382633,47509834,47509835,49382583,60783376,73530841,78839704,86536933,72938951,72938952,67556105,67556104,81025768,95084550,109339063,120112273,115224186,101147338,87149453,73530873,73530874,87149455,101147340,109339080,115224170,115224171,119975557,105740882,91517220,77586162,64417209,52542775,52542776,64417212,77586172,74469914,61686708,61686707,73531007,73531008,87149572,86537046,72939076,60200234,60200233,72939075,74631470,88261929,93521826,79384926,66016602,66016599 Dl.O(d2) = 85174053,85174052,99095878,97980244,84105865,70569289,70569288,84105861,258455084,84105872,70569297,57867460,52680784,256687166,58637707,47244123,37334227,37334226,47244121,52521201,52521202,64395051,57867424,52521261,52521263,47244533,47244531,46511176,36643743,36643744,46511180,47244133,48802577,47244379,47244182,37334262,28796757,28796756,37334261,47244179,47244678,37334727,28797087,21531529,15517763,15517764,21531533,24852622,18356236,18356235,24852615,32494621,41342064,38881506,38881498,37334205,30294274,30294276,30293050,28796972,28796970,37334580,47012750,47012749,58383987,60198316,58638138,47244653,37334696,28797067,28797069,37334699,47244436,47244732,47244290,37334352,37334351,47244288,47244297,47244336,37334391,28796840,28796839,37334388,47244333,268095224,38879068,30293083,30293084,38879073,47244683,58638151,51564131,41342052,41342051,38880268,30294392,22895844,22895845,30294396,38880270,48802527,41342038,41342037,48801397,38879060,30293069,30293068,38879058,255948012,47244661,37334702,37334703,47244435,38879133,30293167,30293166,27130836,20225478,14513483,9986758,9986759,14513485,20225482,15517785,15517784,21531574,27130742,21225163,21225162,28451912,30294406,38637851,37334977,35224515,35224516,44605340,44605467,44605334,37334685,37334686,37334116,28797181,28797184,37334829,30293302,22894899,16665082,15517886,10732288,10732287,255410539,28797397,21531738,21531739,255947798,44605504,44605432,256073286,38305907,41837898,42775500,33745118,25937983,19275229,13778219,9446229,6192678,6192679,9446235,7486138,7486139,9042623,9042624,11277622,7486181,7486182,11277626,16223045,14513435,14513434,20225411,22379579,19274166,14513449,14513448,20225427,20225430,27130770,255110032,29737692,22379562,18641145,18641144,22986857,16748868,11703233,11703232,16748865,22281445,28446864,21220695,21220694,22379860,22379861,29738001,30119284,30119283,29737941,29737942,29633850,22281604,16137691,11210312,11210313,16137694,16222995,16222996,22379744,29737893,36878342,28382120,28382119,29737728,26597004,26597005,29633858,22281609,22281608,29633855,38200686,32373731,24754962,18279789,18279788,22305291,29657163,28382135,28382134,36878358,30553030,30389785,28829649,21558688,15537872,15537871,21558684,22379614,29737754,23150953,23150952,23134651,16874076,12974166,12974165,16137634,11210285,11210288,16137642,22281529,29633693,29633692,22281540,22281539,29633767,256432470,29737741,38305709,48111996,268943203,38200555,29633715,22281489,16137616,16137615,22281487,23151009,30510637,38200584,38200596,29633765,256049100,21558672,21558671,28829631,23150946,23150945,22140063,22140062,29477060,22281431,16137574,16137573,16137620,16137623,16137612,11210272,7438212,4700083,2831696,1642905,1642906,2831701,4700089,7438226,11210297,16137656,22281548,22013636,22013638,29345633,32373757,268635024,26605242,19798446,14181429,14181428,19798445,21164701,15208109,10490576,10490575,11818959,11818960,16890131,19798246,14181302,9749010,6410340,4021558,2409705,2409707,4021567,4768138,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,3850080,6153145,4688322,2825025,254527011,11181822,16098804,255493011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8056574, s2 = 11646758, dlinesl.size( ) = 2 s1 = 8056574, s2 = 11646758, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8056574, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 7993190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7993190, s2 = 8056482, int(edited[s2]) = 0 s1 = 7993190, s2 = 8056482, d1 = 9, d2 = 3 Dl.O(d1) = 22398234,29759694,38329955,33470284,25697107,25697106,26029906,26029904,33850984,42895949,268959656,65365930,59088680,59088679,71828909,71828908,71828907,255196400,59088687,269005562,73475462,60727334,60727333,59088683,59088682,256545250,98829598,84903183,71330102,256017274,46592241,36705386,36705388,46592206,36705362,255615032,49352926,49352928,51415775,41218987,41218986,51415774,60469703,49066194,49066195,60469704,57968604,46592276,36705414,28214102,21020232,21020233,28214104,36705415,46592270,57968594,70686494,70686487,70686486,70686498,84238951,70686475,57968554,57968550,268273622,256070996,19827952,14203753,14203754,19827954,26640030,34630001,268300650,268028122,25615118,19001384,13560580,13560581,19001388,13900299,13900298,19427443,26121311,26131542,255272668,33958694,33958695,43015556,53493831,256142110,39145950,39145951,33958714,26121323,26121322,254931032,53493867,65517282,256143906,64683362,77872989,65573438,53548567,43069523,43069524,52769056,52769055,64683368,77872994,67824397,55482897,55482896,64737669,52821773,43027995,268028146,26131540,33357860,254206558,18986949,25597113,33357857,33429569,33958705,43015571,53493852,65517272,65528627,53502967,43023450,33965787,26127477,26127478,33965791,43023452,43015540,43015541,255682482,63856434,52036574,41721258,41721259,268497802,63856431,64737678,52821781,52821783,64737664,52821788,42420124,33429384,25661029,25661028,33429371,33429370,42420106,52821780,64737670,64737707,52821808,42420132,42420133,33491152,25715715,25715716,33357866,42339072,33965801,33965800,255272674,53493809,53493810,53548445,53545632,43066579,34008821,254930480,53545624,65570420,76037208,76037209,65517231,53493803,53493804,64737697,256664560,268752108,64737682,64737683,64737659,52821763,42420092,42420094,52821765,64737663,76037202,76037201,77808807,89815339,77928971,64814636,255274168,33491149,33491148,42339066,52726103,64626277,64814645,64814646,65874524,65874526,256141288,52822049,52821800,52821799,53545623,256141286,53502971,53502970,63053232,64737704,59596799,48209679,38299875,38299876,48209683,59596804,52769066,42369952,33380890,33380889,42369947,52769064,64683375,77873001,77928945,77928967,77928966,71421740,71421741,84995046,77887675,64698489,52784556,42385369,33396518,33396517,41184841,41184840,42385480,52784632,64698551,53806376,43281302,43281301,53806372,61414862,49936809,49936808,256703478,51371433,63053213,63053217,64698483,64698482,74193510,61414853,61414854,52508385,51371449,41184874,32368468,32368469,41184867,32368465,24751220,24751217,32368458,41184858,51371436,63053243,73280454,63053245,51371440,51371439,52508331,52508330,257214658,43022746,43022747,53502065,64737913,64737912,257216616,63053254,51371456,51371457,63053257,258144768,72449183,59712291,49936812,39918939,39918940,49936815,61414870,74193523,70377089,70377088,76037224,63053248,51371444,41184869,41184868,41184862,41184861,51371429,41184851,41184852,51371432,63053237,76037215,87796890,268948086,49936849,39918968,33192176,33192177,42150812,52508340,64381757,77549785,91480863,103880444,89778966,76001421,63017934,63017935,63053221,51371401,41184826,32368442,32368444,41184830,51371407,49936821,39918943,31243321,31243320,268407056,57684933,46337765,46337764,49936825,39918946,39918947,49936828,43022753,33965188,33965189,41184882,32368472,24751225,24751224,32368470,41184880,51371455,63053251,76037225,89815347,269815012,52508338,42150810,42150809,49936805,49936806,41184907,32368492,32368493,41184888,41151538,41151536,51336906,51336904,63017931,76001418,70951842,70951843,63053223,58234727,46866889,46866891,256955176,57684938,46337770,36481740,36481739,46337768,256658402,256658404,65527577,70951847,70951848,70951841,70377038,70377037,258622361,57684976,57684977,64381751,52508324,42150799,42150800,52508325,64381753,58234730,46866892,46866893,58234731,70377098,57684947,46337773,36481742,28020372,28020373,28491483,36988439,46337786,46337785,46866901,36988420,36988422,46866903,58234740,70377066,57684902,57684903,57684906,57684905,57684880,46337722,46337721,57684877,59202947,59202946,67191988,59561447,59561446,57684969,46337793,46337794,57684973,257387711,36481690,33192170,25446954,18849752,255663813,32368483,24751231,24751232,32368488,41184903,32978675,32978676,28020378,20853754,14952933,14952934,20853759,28020384,36481755,46337791,52508278,52508279,64381708,52508264,42150717,33192094,25446901,25446902,28020356,28020338,20853726,20853725,28020335,36481704,46337725,57684882,63053260,76037229,80285030,67191991,67191992,57684950,54872488,44071959,44071960,42150783,33192154,33192155,33192160,33192161,42150788,51371468,41184893,41184892,51371466,51371475,41918855,32978672,32978673,41918858,36481751,36481750,46337779,52508266,42150720,33192095,33192096,42150723,52508268,44071950,44071951,42150738,33192106,25446909,18849723,18849720,21273371,15312135,15312134,21273367,28489659,28020343,20853737,20853736,28020351,36481717,46337739,47326308,37417787,37417784,28876215,28876217,37417791,47326314,54596654,52508428,52508427,256401836,28020315,28020313,33192213,42150854,52508246,268944500,64381729,52508294,42150750,42150749,52508292,64381727,54596617,43852198,268811917,26593468,19788165,19788166,26593448,19788156,14173922,14173921,19788154,26593445,34580654,33192191,33192192,42150828,52508239,42150683,33192069,25446880,25446879,33192068,42150679,52508235,52508387,42150859,33192215,33192214,42150857,52508383,52508195,42150632,33192023,25446846,18849691,18849692,25446849,33192027,34580610,33192142,25447029,18849799,18849798,25447027,33192262,42150910,52508423,43852203,34580622,34580623,34580631,26593435,26593434,34580637,33192029,33192028,34580626,33192083,25446889,25446890,268492425,18849697,18849698,25446861,25446877,256643233,52508231,52508393,62287179,50748260,42150906,33192250,25447019,25446997,25446995,18849789,18849790,25447008,18849783,13430119,13430118,18849780,25447006,19360267,19360268,26038140,33859518,42904701,52508434,42150918,42150919,42150770,33192137,33192138,42150711,42150712,52508256,52508240,42150689,33192074,33192016,33192015,42150601,42150600,42150655,33192045,33192046,33192062,33192210,33192211,25447000,25447001,33192231,42150876,50748263,40672955,256643229,25446844,18849689,13430069,9182189,9182187,13430065,18849684,25446839,25447002,25446876,25446875,19360270,19360271,26038147,33192222,42150594,52508152,64381646,64381736,52508301,42150763,33192133,33192134,25446932,18849735,13430094,255261071,18849682,13430062,9182185,9182184,13430057,18849677,25446827,33192004,42150609,42150834,42150835,40672950,31945022,24403787,17998765,17998766,24403791,31945027,40672959,50748265,62287181,64381675,52508192,52508191,64381669,257198455,42150626,52508187,42904705,33859521,33859520,42904702,53370757,52028340,52028339,54698024,47776350,47776351,256233334,42150759,52508158,42150883,33192239,33192240,26685465,19866815,18849680,18849679,25446832,33192012,42150617,52508179,52508165,46291179,46291180,42150843,33192200,25446976,25446977,31945013,31945014,40672944,50748253,62287176,75128621,71909993,71909994,85495034,99436609,92743418,258507660,65374918,64381778,64381776,259030903,105705265,91480792,77549721,64381651,52508404,52508405,52508174,42150612,33192006,25446828,25446829,33192008,42150614,52508177,64381661,77549733,91480801,85497674,71912800,59175056,59171961,47776363,47776362,59171997,59171996,52508371,52508369,64381785,77549816,71909999,59171972,47773119,37850067,37850069,47773124,59171978,71910004,71909988,257925286,43954104,257890265,80386404,81340563,270143422,109632445,105705260,91480789,77549730,77549729,77549837,91480880,105705334,94445094,91480887,91480888,105705340,119940797,105705325,91480875,77549820,77549819,259174318,81340542,67873647,55523061,55523060,59171995,59171994,71910013,70326316,57635681,57635682,59171989,257325698,29282156,29282157,37850078,47773136,59172006,71910027,67873822,57635665,57635666,55522961,55522960,67873552,81340462,95389642,108628199,108628200,122892360,121805331,107422662,93013882,78903706,77716716,77716715,81340415,67873497,55522898,55522897,67873495,64535553,64535554,77716724,91643701,105851408,109632448,95389722,91643711,91643713,105851418,95389724 Dl.O(d2) = 268598001,255357577,10258573,6741148,4224130,4224131,254703849,14918720,20815178,27979020,36438054,257384205,36438057,27979022,27979023,268901047,36438066,27979032,255782503,268370359,20815137,14918689,10258584,10258583,14918742,20815208,27979031,20815188,14918727,10258579,6741152,4224134,2525785,1455642,824196,824195,1455639,254321109,6741141,254996309,20815150,27978997,36438025,36438065,27979029,20815185,20815183,20815108,14918673,10258547,6741132,4224124,4224125,6741134,10258551,14918680,14918745,255782505,36437976,36438005,27978985,27978986,268901041,57635604,57635603,257053726,36437965,27978955,20815142,14918692,14918691,20815103,20815104,27978941,256805989,257384199,256805997,255782497,20815118,27978961,27978966,256268913,256805991,46291105,36437954,36437953,46291102,46291124,46291125,57635624,257384201,46291123,57635621,46291114,46291113,57635619,70326247,258618797,57635630,46291129,36437985,27978968,27978969,36437987,46289971,46289972,57634509,70325245,269293233,36437989,36437988,46291134,57634488,46289949,268597973,20814551,20814552,27978169,36436929,46289954,57634490,57635617,57635655,46291162,46291161,46291151,256268915,27978982,36438004,46291155,57635649,70326242,57635628,257994787,57634512,46289974,257384083,70325247,70326382,259245187,111631615,97710160,83850828,70325212,269293197,36436927,256805887,46289988,46289989,57634526,70325274,57635612,57635613,70326245,70326281,83851628,97710720,83851615,70326266,70326267,70325249,70325248,70326238,57635609,57635610,57741400,46391209,46391208,57635651,46291157,257384207,70326286,259163367,257314381,44506009,55352141,57634507,57634506,70325244,83850878,97710207,97821050,89159074,89159075,101715549,111631991,97710722,97710723,111631613,101715547,101715548,97710208,259863983,260474453,70435847,57741406,57741403,46391213,36530889,28064641,28064640,36530886,46391211,57741401,70435839,81157081,81157082,87741277,259492829,74135606,61354057,61354056,74135604,259245125,83850891,258627687,57741413,46391223,46391221,57741410,46391220,46391219,258003535,83850886,259163369,55352150,55352149,67691650,70435842,70326288,57635653,46291158,36438011,36438012,35128366,256748651,39850108,31168023,31168024,39850110,49872358,61354062,74135613,67691659,55352167,44506031,256223315,27041217,256748653,257914101,55352170,55352145,55352146,67691649,67691657,81157089,74154766,61374211,49893600,39871342,31188701,31188702,39871345,40078483,31397349,23904258,23904257,256083307,18293419,18293418,24772768,32395662,32395617,32395618,41219015,32395663,29051923,21757626,21757625,29051920,33202042,26315140,26315139,28058087,36523470,41927622,32987272,25263910,18692524,13299402,13299401,255649995,255001889,10316904,14985116,20888249,254850256,18670546,18670545,25240225,30763091,39364437,47329915,37421626,37421627,37422935,38147730,37421708,28879784,28879785,28880892,28880893,37422941,29581815,22234245,16099395,11182386,7419555,7419558,11182392,16099406,22234261,29581841,37422916,28880871,28880870,37422915,38147737,33143825,25403722,18814060,18814061,254769900,42098088,33143822,33143821,42098086,38147838,29581937,22234335,22234334,29581934,38147833,43851163,34579446,34579445,39352313,39352327,39352328,48511491,47981042,38068861,255081460,30024580,30024681,30024680,30751936,29505468,22165577,16043131,16043130,22165572,19541255,19541256,26260572,34126388,43213984,38193154,29626391,29626392,38068474,29505139,29505140,29581888,29581887,38147789,38147758,38147757,38094366,29530568,29530567,25856806,19199908,19199909,25856812,30024659,22651834,22651833,30024655,30552785,29582186,22234568,22234569,29582190,30024773,30024772,30024717,22651880,16460359,16460358,22651861,16460349,16460348,22651855,30024528,22651740,16460285,16460286,22651744,22651786,30024588,38596899,39352334,30751971,23329705,23329703,30751967,39352325,49278944,60679791,59904779,48511385,38596862,38596863,48511388,48511603,38597091,38597092,48511606,48511314,38596801,38596800,48511310,59904726,72645589,72645655,59904851,48511519,38597002,30024671,30024670,38147561,30024783,30024784,38597163,48511656,48511676,59452049,48060852,38148072,38148071,48060847,59452039,72189991,59904767,48511356,48511355,59904761,72645608,72645634,80341480,80341561,256392298,43916372,34643292,26652154,26652152,34643291,40489543,40489542,50525103,43916216,34643208,26653616,19840116,19840115,26653611,28880881,28880880,34642963,34643318,43916061,43916063,34643217,26652187,26652185,26652176,19838582,19838584,26652177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7993190, s2 = 8056482, dlinesl.size( ) = 2 s1 = 7993190, s2 = 8056482, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7993190, Dl.E( ) = 10, 1.19e-05 seconds used appending s1 = 703623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16214645, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 748406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15240060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6799825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799825, s2 = 8103330, int(edited[s2]) = 0 s1 = 6799825, s2 = 8103330, d1 = 19, d2 = 1 Dl.O(d1) = 258654077,258899334,53210094,65195845,78480216,92519984,106831454,259665868,78480204,65195820,53210072,42760331,42760332,269998524,42760343,42760344,53210090,65195827,258411912,53210069,53210070,65195816,259038932,65195825,53210078,257828419,65195838,65195837,259038934,78480209,260318499,121090824,259665868,78480204,65195820,53210072,42760331,42760332,269998524,42760343,42760344,53210090,65195827,53210081,53210080,53210091,42760345,256132888,256161301,42760348,53210094,65195845,78480216,92519983,106831450,92519982,78480210,65195832,65195833,65195835,53210087,53210088,258411914 Dl.O(d2) = 254458091,9526010,11447928,11631302,11422786,11422784,16393481,11417609,11417610,13379119,11621065,11621063,16653671,14090142,254799775,4895513,4895511,7732786,255100681,254958628,7590218,7590217,11419990,16403879,22586508,268164220,16403972,16403971,254787931,7618025,11422063,7591999,254359615,2894515,2954277,1713127,1713129,2954270,4901697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799825, s2 = 8103330, dlinesl.size( ) = 2 s1 = 6799825, s2 = 8103330, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6799825, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 6696467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14063300, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6677026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 62684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1702588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072083, s2 = 9701781, int(edited[s2]) = 0 s1 = 14072083, s2 = 9701781, d1 = 2, d2 = 7 Dl.O(d1) = 54634888 Dl.O(d2) = 32988742,34250762,34250761,43350818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072083, s2 = 9701781, dlinesl.size( ) = 2 s1 = 14072083, s2 = 9701781, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14072083, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7949208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7949208, s2 = 14184887, int(edited[s2]) = 0 s1 = 7949208, s2 = 14184887, d1 = 0, d2 = 4 Dl.O(d1) = 58828697,47842941,42442203,39370200,30769315,23346288,23346286,30769314,39370199,30882820,23451409,17174704,17174706,23451416,30882824,34564375,43837100,37120621,30767831,23344665,17078289,254823461,8043512,11991352,17078285,23344657,26578391,19775627,19775628,23347891,26584864,26584862,34564963,26578200,19775459,19775458,23344318,21209569,21209571,23346072,17079323,14165469,14165467,19775930,26578754,24848526,18352467,17078495,17078496,14164588,14164586,17076849,17076848,19775321,14164482,14164483,14168599,14168600,19781007,26585097,30423606,30769365,30768261,23345148,17078659,17078658,17079767,17079770,18351911,24847945,19775614,19775615,26578373,30767733,39369106,48160377,39370201,30769315,30768763,30767369,30767371,34565632,34565098,34565096,26585300,19781190,14168733,14165541,14165542,19776844,26579823,22485601,16313538,16313541,19774246,19774245,26576634,34563455,39370281,39368812,39368813,30768950,30768949,39369992,39369960,39369959 Dl.O(d2) = 127932293,114051217,100023803,86060671,72462529,72462528,86060669,100023800,112338677,126199171,129723057,115823936,115823937,129723058,115823945,115823933,115823932,115823940,115823941,115823951,115823950,101777702,101777703,115823952,129723066,139902119,126539023,112676530,98682259,84755135,84297778,84297779,71186539,58464553,47086435,37190808,28669140,21422507,15431311,10668006,7045731,7045730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7949208, s2 = 14184887, dlinesl.size( ) = 2 s1 = 7949208, s2 = 14184887, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7949208, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 9702222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9702222, s2 = 3706018, int(edited[s2]) = 0 s1 = 9702222, s2 = 3706018, d1 = 31, d2 = 19 Dl.O(d1) = 21388602,28626704,37139832,47028084,58399903,57662797,57662796,57663082,70352808,68073567,257589440,44765301,257930237,81563413,95596849,97736553,86902787,73292675,60549593,49150267,49150265,257386164,86902785,100882589,99513322,99513323,258620654,97736334,95596889,81563475,81563474,83979413,83979412,95596881,81563459,257386156,255784280,255784278,39223709,49150262,60549586,73292668,86902780,84682041,71117540,58399891,58399890,68073616,55674700,55674698,49073513,49073512,256807978,36465956,28007150,28007151,36465958,46318794,57663023,57756383,46405577,46405578,44765346,35339017,35339016,44765340,35339036,27214924,20286472,14556563,14556564,20286473,27214926,35339040,44765371,55674735,68073659,81563508,268370806,57756376,57756378,70451467,81563415,81563408,71117545,257439378,37139829,28626700,21388601,15404507,10647370,255033167 Dl.O(d2) = 62614910,50993090,50993091,256967372,89308114,258781102,131317927,141621689,141621690,131317918,117522167,117522166,131317917,144538873,156936911,168390806,272569738,141621693,128271189,114395035,114395036,126331006,126331008,112464755,112464756,261092395,128271190,260871678,260871676,114395040,259659262,72821061,270858975,114395039,260871672,100371842,86416020,86416019,100371840,100371854,86416029,86416028,98423903,84502244,70938078,70938077,84502242,98423901,100371849,259032110,60083803,48687880,48687879,60083800,72821060,60083806,48687882,48687883,259418809,86416030,258404982,48687885,48687886,48687887,48687888,60083787,48687872,38766151,30182674,255495267,11557640,11557641,16576807,22793181,30182686,38766169,257562217,270858977,86416052,100371871,261211975,114395015,100371829,86416008,86416007,86416045,72821078,257562213,270532092,48687900,48687894,48687895,60083820,72821074,86416037,261211977,154277438,154277467,141621722,128271226,128271228,141621724,154277461,261211979,114395059,114395053,100371862,86416042,259418811,114395051,128271214,141621714,141621680,141621681,154277427,141621717,128271218,114395057,114395056,100371867,86416049,259418813,114395063,128271201,114395044,114395045,128271203,114395049,100371860,86416040,86416039,271352731,272226781,154277440,262747647,176670762,166030110,166030111,273136619,263732818,141621701,128271205,114395046,114395047,128271207,141621704,261758757,128271222,128271220,141621719,154277462,166030143,262747651,166030141,176670771,166030136,154277453,141621706,141621705,154277452,166030135,165439427,165439426,176121367,166030128,154277442,154277443,262747649,261821448,153659175,153659174,165439430,260705156,127644899,113776735,113776734,127644898,140993083,153659173,148962286,135723234,121782990,107398501,92988229,78876742,78876741,92988227,107398498,121782988,121782985,121782986,121782991,121782992,127644903,113776736,113776737,127644905,121782995,107398506,92988233,78876746,65541680,53517754,255164392,33982055,43039510,53517752,65541676,257054204,107398495,121782983,113776741,113776740,113776739,99762513,85808494,85808493,99762511,92988231,78876743,257636780,78876739,92988225,107398492,258868546,85808496,72214394,258055272,48086853,48941384,48941383,257444616,86683295 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 86860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 86860, s2 = 13428350, int(edited[s2]) = 0 s1 = 86860, s2 = 13428350, d1 = 1, d2 = 1 Dl.O(d1) = 76884388,63774661,51959333,41652139,32742434,25052165,25052164,31043050,23560270,17250198,17250187,12131231,12131229,17250183,23560263,31043039,39720632,48147307,38237779,38237778,34121103,26255934,26255933,26255941,26255940,31042950,31119918,31119917,39800426,39719961,31042308,23559694,17249849,17249850,17249857,23559708,23560542,31043379,30112839,22732449,17249869,17249824,12131032,12131034,17249827,23559661,31042264,39719933,31693369,268689599,38688679,34121003,34121004,40386647,38237490,38237489,39720345,31043344,23560516,17250357,12131318,12131317,17250352,23560510,31043334,255109796,8162008,254833611,17250361,23560521,17816171,17816172,22321073,16175857,16175858,22321081,29672362,24184781,17816203,12613865,12613864,17250286,17249945,12131105,8161900,5232139,3193095,1868926,1868927,1868936,1868938,3193119,5232192,8162017,12131346,17250416,17250432,12131352,12131350,17250424,17816045,17816046,24184547,31043123,23560326,17250241,17250245,23560339,25683794,29006996,24184407,17815947,12613742,12613739,17815936,24184395,31692891,40386254,40035777,31355899,23862228,17518345,12353493,12353494,17518349,23862239,30442065,31043174,31043176,39720764,31693158,24184623,17816101,12613817,12613818,17816107,24184640,24527933,18096057,12830325,12830327,18096063,24527945,32104019,40876355,37115779,28606211,21372039,21372040,23371564,30798139,29222276,21906987,21906986,29222271,37783917,30798128,23371539,23371538,21372025,21372024,24184386,31692879,39444969,39444968,38270031,29703943,29703942,38270026,33064882,28606375,21372152,21372151,28606369,37115940,37115939,28606378,28606379,37115974,39401368,37099365,28592343,21360402,21360401,15391518,15391519,21372031,28606199,29703539,29703538,22607419,21906961,15825903,15825901,21906956,29222224,29703438,22349111,22349112,29703443,38269518,37596975,29049169,21755447,21755448,29049171,37596960,269323657,59102741,47704681,47704682,59102743,59565319,48179124,38269904,38269905,44722172,44722171,256342138,28311453,21101274,21101273,28311451,36808234,255849862,268388570,58064684,58064752,58064753,54671223,54671206,54671207,46691825,36808032,36808033,46691826,58064673,46691828,46691827,47234494,58064755,48348539,46691829,43928850,43928849,40285695,31600717,31600716,26663992,19848938,14220503,9776353,9776354,14220508,14220688,19849206,26664339,34655501,34655502,34655650,34655652,36808050,28311290,21101139,21101140,21101191,15157193,10453112,10453111,15157186,21101183,26664345,34655959,43929012,34656282,34655568,34655570,34655704,26664375,19849241,19849240,26663824,26663823,23382749,23382748,19848890,14220476,9776341,9776340,14220472,14220661,12025289,8084632,8084634,12025295,17112184,23382663,30811203,34655920,28789385,21525328,21525329,26663721,19848764,19848765,19849277,14220735,9776461,9776462,14220738,255316671,9776343,6428078,4032832,2416818,1399115,1399117,2416829,4032862,6428145,9776486,14220791,255730183,26664501,19849390,14220786,255316703,26664499,34656092,40035616,40035620,36648692,28173146,28173144,30505551,23090970,23090969,16891445,15078407,15078408,15971822,15971820,11086645,11086643,15078411,20992074,28173141,36648684,39101999,40035834,31355979,30844224,254386966,15078372,10400278,255011321,20991822,15078253,10400217,10400218,15078259,16891433,20992142,23090930,23090931,30505508,30569729,23152295,20991985,20991983,28173022,31356444,23862725,23862724,28173127,36648669,31055403,31055404,38954677,30368510,22967071,22967072,30368516,32095095,28172934,20991907,20991908,23414240,17138589,12824074,12824072,18088892,18088891,18088924,15078427,15078426,10926768,7228072,7228071,10400293,6855834,6855833,10400288,15078384,10400323,6855850,4302608,4302609,6855855,10400332,15078457,20992151,26611081,26611080,23152301,16891430,15078349,15078350,20991979,28173020,23983216,17637067,17637069,23983226,23572028,23572030,22967090,16731238,11688646,11688647,16731240,22967096,24520234,18088942,12824103,12566611,12566613,17758815,21107678,28318004,36814217,255149562,70786675,84345545,98253000,111925322,97986076,84111371,70575055,57874154,57874152,70575053,68015968,257030742,35311814,27192125,255340215,10005127,6574923,4118601,254318515,1423991,810125,459154,459153,810123,1423990,267811618,6574918,9934324,14441617,20135622,21426472,21382641,15399917,15399916,21382639,20135619,14441615,14441614,20135618,14541840,10005104,6574908,4118594,4118593,6574906,10005101,14541836,20267720,27028230,25082779,255255190,25628465,256035086,27028248,35114827,256866183,37639525,37639526,47545802,47092487,268614001,21426454,15434188,15434186,21426452,28674296,268919937,268930199,46886788,58253737,70969539,71443329,58712103,47323160,37414542,256880921,257907827,58253742,58253711,46886806,37007775,37007774,256897637,37639484,37639544,46886766,46886765,52008172,46886711,37007695,28509034,21289100,15323998 Dl.O(d2) = 76884388,63774661,51959333,41652139,32742434,25052165,25052164,31043050,23560270,17250198,17250187,12131231,12131229,17250183,23560263,31043039,39720632,48147307,38237779,38237778,34121103,26255934,26255933,26255941,26255940,31042950,31119918,31119917,39800426,39719961,31042308,23559694,17249849,17249850,17249857,23559708,23560542,31043379,30112839,22732449,17249869,17249824,12131032,12131034,17249827,23559661,31042264,39719933,31693369,268689599,38688679,34121003,34121004,40386647,38237490,38237489,39720345,31043344,23560516,17250357,12131318,12131317,17250352,23560510,31043334,255109796,8162008,254833611,17250361,23560521,17816171,17816172,22321073,16175857,16175858,22321081,29672362,24184781,17816203,12613865,12613864,17250286,17249945,12131105,8161900,5232139,3193095,1868926,1868927,1868936,1868938,3193119,5232192,8162017,12131346,17250416,17250432,12131352,12131350,17250424,17816045,17816046,24184547,31043123,23560326,17250241,17250245,23560339,25683794,29006996,24184407,17815947,12613742,12613739,17815936,24184395,31692891,40386254,40035777,31355899,23862228,17518345,12353493,12353494,17518349,23862239,30442065,31043174,31043176,39720764,31693158,24184623,17816101,12613817,12613818,17816107,24184640,24527933,18096057,12830325,12830327,18096063,24527945,32104019,40876355,37115779,28606211,21372039,21372040,23371564,30798139,29222276,21906987,21906986,29222271,37783917,30798128,23371539,23371538,21372025,21372024,24184386,31692879,39444969,39444968,38270031,29703943,29703942,38270026,33064882,28606375,21372152,21372151,28606369,37115940,37115939,28606378,28606379,37115974,39401368,37099365,28592343,21360402,21360401,15391518,15391519,21372031,28606199,29703539,29703538,22607419,21906961,15825903,15825901,21906956,29222224,29703438,22349111,22349112,29703443,38269518,37596975,29049169,21755447,21755448,29049171,37596960,269323657,59102741,47704681,47704682,59102743,59565319,48179124,38269904,38269905,44722172,44722171,256342138,28311453,21101274,21101273,28311451,36808234,255849862,268388570,58064684,58064752,58064753,54671223,54671206,54671207,46691825,36808032,36808033,46691826,58064673,46691828,46691827,47234494,58064755,48348539,46691829,43928850,43928849,40285695,31600717,31600716,26663992,19848938,14220503,9776353,9776354,14220508,14220688,19849206,26664339,34655501,34655502,34655650,34655652,36808050,28311290,21101139,21101140,21101191,15157193,10453112,10453111,15157186,21101183,26664345,34655959,43929012,34656282,34655568,34655570,34655704,26664375,19849241,19849240,26663824,26663823,23382749,23382748,19848890,14220476,9776341,9776340,14220472,14220661,12025289,8084632,8084634,12025295,17112184,23382663,30811203,34655920,28789385,21525328,21525329,26663721,19848764,19848765,19849277,14220735,9776461,9776462,14220738,255316671,9776343,6428078,4032832,2416818,1399115,1399117,2416829,4032862,6428145,9776486,14220791,255730183,26664501,19849390,14220786,255316703,26664499,34656092,40035616,40035620,36648692,28173146,28173144,30505551,23090970,23090969,16891445,15078407,15078408,15971822,15971820,11086645,11086643,15078411,20992074,28173141,36648684,39101999,40035834,31355979,30844224,254386966,15078372,10400278,255011321,20991822,15078253,10400217,10400218,15078259,16891433,20992142,23090930,23090931,30505508,30569729,23152295,20991985,20991983,28173022,31356444,23862725,23862724,28173127,36648669,31055403,31055404,38954677,30368510,22967071,22967072,30368516,32095095,28172934,20991907,20991908,23414240,17138589,12824074,12824072,18088892,18088891,18088924,15078427,15078426,10926768,7228072,7228071,10400293,6855834,6855833,10400288,15078384,10400323,6855850,4302608,4302609,6855855,10400332,15078457,20992151,26611081,26611080,23152301,16891430,15078349,15078350,20991979,28173020,23983216,17637067,17637069,23983226,23572028,23572030,22967090,16731238,11688646,11688647,16731240,22967096,24520234,18088942,12824103,12566611,12566613,17758815,21107678,28318004,36814217,255149562,70786675,84345545,98253000,111925322,97986076,84111371,70575055,57874154,57874152,70575053,68015968,257030742,35311814,27192125,255340215,10005127,6574923,4118601,254318515,1423991,810125,459154,459153,810123,1423990,267811618,6574918,9934324,14441617,20135622,21426472,21382641,15399917,15399916,21382639,20135619,14441615,14441614,20135618,14541840,10005104,6574908,4118594,4118593,6574906,10005101,14541836,20267720,27028230,25082779,255255190,25628465,256035086,27028248,35114827,256866183,37639525,37639526,47545802,47092487,268614001,21426454,15434188,15434186,21426452,28674296,268919937,268930199,46886788,58253737,70969539,71443329,58712103,47323160,37414542,256880921,257907827,58253742,58253711,46886806,37007775,37007774,256897637,37639484,37639544,46886766,46886765,52008172,46886711,37007695,28509034,21289100,15323998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 86860, s2 = 13428350, dlinesl.size( ) = 2 s1 = 86860, s2 = 13428350, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 86860, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 532966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 651604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 651604, s2 = 1110640, int(edited[s2]) = 0 s1 = 651604, s2 = 1110640, d1 = 13, d2 = 1 Dl.O(d1) = 16633817,16633820,22860094,18737095,18737096,19671291,14101378,9698963,6379022,6379023,9698968,6437305,4038066,4038065,6437298,6379109,6379108,7723870,11602653,16633177,22859204,30254343,34695924 Dl.O(d2) = 28624037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 651604, s2 = 1110640, dlinesl.size( ) = 2 s1 = 651604, s2 = 1110640, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 651604, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 473617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 263575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13177591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9672873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11142936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6463072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6452791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6452791, s2 = 3771486, int(edited[s2]) = 0 s1 = 6452791, s2 = 3771486, d1 = 49, d2 = 14 Dl.O(d1) = 254636992,35192074,27103110,27103111,20203254,18647089,13259041,13259036,13246479,13246483,18631715,16758958,11711992,11711994,12340826,12340827,17501719,21752952,15699481,10868083,7185642,6267663,6267665,9127559,5973043,5973042,6764559,4239378,2534757,2534756,4129636,4129635,6591736,7776537,11666101,10598602,7034298,7034297,7052771,4543984,4543988,4439469 Dl.O(d2) = 135220556,131689237,256686020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6452791, s2 = 3771486, dlinesl.size( ) = 16 s1 = 8026623, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9761501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13268507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13268507, s2 = 985239, int(edited[s2]) = 0 s1 = 13268507, s2 = 985239, d1 = 138, d2 = 125 Dl.O(d1) = 7251218,10955735,13660579,13660578,17899535,12679534,8611500,8611502,255595147,16296870,16296874,11514644,11514643,16522120,22727469,21625860,15595128,10788428,7127910,4487490,2696016,2696015,4487484,7127899,10788410,15595103,18676860,18676862,16297419,11339222,7535301,7535300,11339219,16297414,14605789,14605785,14605784,255249258,35409687,28040490,20872455,20872456,21625949,15595210,10788478,10788480,15595219,21625964,23900416,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211 Dl.O(d2) = 24980235,18459146,255636287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13268507, s2 = 985239, dlinesl.size( ) = 2 s1 = 13268507, s2 = 985239, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13268507, Dl.E( ) = 148, 4.51e-05 seconds used appending s1 = 9177468, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14248123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1685074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6847502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8494536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8255779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8046856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8173341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8173341, s2 = 6500859, int(edited[s2]) = 0 s1 = 8173341, s2 = 6500859, d1 = 23, d2 = 13 Dl.O(d1) = 72311294,255038634,254502580,10702842,259881707,257452406,57824520,57824519,258636027,271289215,259262615,70526635,57824508,46467811,46467810,46467817,57824505,256821631,36601083,36601098,36601099,46467831,57824542,70526655,259262623,259881709,70526667,258636031,70526635,57824508,46467811,46467810,36601088,258011465,84063442,84063441,70526641,57824512,46467814,46467815,57824514,57824522,46467820,36601095,28127412,28127413,36601099,46467831,57824542,70526656,84063449,91901512,91901511,84063458,70526665,57824536,57824535,70526663,84063455,97936639,111873048,97936624,84063450,70526657,70526658,70526667,258636031,70526635,57824508,46467811,46467810,46467817,57824505 Dl.O(d2) = 70526656,84063449,91901512,258426311,42459258,52863155,64782583,52863157,42459261,33466190,25693627,255275869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8173341, s2 = 6500859, dlinesl.size( ) = 2 s1 = 8173341, s2 = 6500859, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8173341, Dl.E( ) = 28, 1.38e-05 seconds used appending s1 = 11137656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11038608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7978905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7978905, s2 = 9417684, int(edited[s2]) = 0 s1 = 7978905, s2 = 9417684, d1 = 7, d2 = 7 Dl.O(d1) = 30125413,30049176,22739726,16532165,16532164,22739723,22740135,16532519,11522255,11522254,11522247,11522245,16532507,22739666,30122207,22743027,16535168,16535169,16535123,16535124,16535118,16535119,16535129,22742992,22743402,30125443,22743161,16535297,11524654,7666600,7666599,11524651,16535291,22743152,30122718,22742971,22742970,16535817,268232701,16532466,22740059,22743226,16535378,11524771,11524769,255491761,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,16532057,16532644,268936886,11521960,11521959,16532111,16532720,11525139,7667091,7667090,11522387,7667510,4851625,2923703,1696021,964419,964418,1696017,2923327,1695772,1695773,2923333,4849703,7664952,4850098,2922596,1695288,1695285,2922589,2922256,2922257,1695474,1695473,2922853,2922937,4850577,7666239,4851685,4851686,7666315,7666260,4850601,2922952,2922951,1696012,1696013,2923693,4851605,4850373,4850374,7665967,4851636,4851635,4851575,4851569,2923670,2923667,4851563,4851545,2923655,1695996,1695995,2922786,4850366,7665957,11523992,7666333,7666332,11524342,16534843,16536486,11525698,7667570,4851664,4851663,7665883,11523915,11525716,11523868,7665837,7665839,7665873,4850281,2922717,2922716,4850276,4850305,7665892,11523933,11525724,16534605,11524111,11524110,16534589,22742392,16536437,16536438,16534466,11523924,11523922,16534354,16534353,16535856,11525250,7667446,7667417,255110437,11525586,11525587,16534379,11525003,7666958,4851192,4851193,7666965,11523798,7665804,7665805,11523804,11523779,7665794,7665792,11523767,16534319,22742043,16534188,16531454,16531455,22738666,30120868,30126186,30126185,30124805,22742375,16534576,16534577,22742379,30121095,38697963,38697842,38697840,30126124,30126123,30121093,22738893,16531613,16531614,22738895,22738532,22738531,30120709,38697631,30125724,30125725,30126995,30120962,30120964,22743647,16535717,16535719,22738849,22738848,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524910,16535499,16536478,16536477,22743332,22743330,30125744,38697438,30120538,30120539,38697439,48613149,256535460,36733557,28238882,28238881,30120592,30120892,38697780,36733536,28238866,21040389,21040390,28238875,36733547,30805716,28238906,28238905,36733611,38271032,38271031,36725649,28231950,28231948,36725645,44498250,35120726,35120725,44498257,55344565,57989372,48613490,47281142,47281141,50254696,57997811,48613473,48613474,57997757,46621687,36733555,36733554,38701635,48616567,50254825,57997877,49385198,39457165,30852957,30852959,38703766,37371803,37371802,47281087,46621872,46621628,36733501,28238848,21040381,15112851,15112850,21040379,23377609,17107820,15112866,10424247,6872723,6872725,10424253,15112874,21034848,21034849,28231957,36725659,44498253,44498252,55344560,48354313,38452400,36733640,36733641,46621822,57997821,46621735,46621734,57997815,57997830,70714293,70714335,57997937,50254881,50254880,46621788,46621787,57997876,57997933,46621838,36733648,36733646,46621834,57997928,57997964,57997716,46621643,46621644,43907281,34634462,26643598,26643597,34634457,39410765,31549455,25437626,25437616,25437615,30852966,23422234,17145183,15108586,15108587,21034857,28231967,36725680,39811579,39811580,46613216,36725666,36725664,46613210,57989405,46621739,36733581,28238895,28238896,36733585,46621746,46621849,46621848,57989476,46613308,36725758,36725757,46613303,57989468,57997945,46621845,36733675,28238933,28238932,36733669,46621867,50254692,50254693,42172145,33212510,33212511,31549446,31549445,31549457,24045825,24045824,23641981,17693337,17693339,21034881,15108601,10420914,10420913,15108593,21034870,28231984,31025256,23544083,23544084,31025264,39702358,49720823,42142102,33182597,33182598,42142105,40429392,40429391,33182635,33182636,39457171,31735160,24226607,17854810,17854811,24226612,25545589,27978202,27978204,31843175,31843176,40541264,269415725,50577257,40542062,39051501,30461999,23053996,16807829,254808867,4981587,3009313,3009314,4981589,7847700,11753420,15217732,15515067,10730343,10730345,12709099,15226740,15226738,21189592,28411115,30003219,36381478,27937132,20783922,14896250,12708821,12708822,17936026,16942110,12708573,8634521,8634519,12708569,12709392,11458912,11458913,16446365,13658122,12708378,8634418,5615127,5615126,8634415,8634483,12708504,17935288,12708330,8634391,5615113,3488019,3488018,5615111,8634388,11753399,11753400,16807824,17935276,17935277,24322712,24324619,24324618,31844233,36381300,27936961,27936962,36381302,30462047,23054043,16807861,15225697,10502514,10502515,254479304,8634526,5615177,5615178,8634528,12708589,17935672,15226751,10503233,6925688,4350779,4350778,6925685,8634376,5615105,3488014,2605759,2605760,4350963,6925998,10503710,7974583,7974582,11920186,15221829,21183200,28404112,36897116,28399645,21179202,21179201,28399643,29473623,28410550,28404966,23054031,23054033,30462031,29207030,21893604,21893603,28404972,21183948,15222393,15222391,21183946,17935594,255598537,24788343,24788344,32413391,28404107,28404106,28398052,21177859,21177860,17935621,12708555,12708556,17935622,24323113,30461977,39051487,47199821,40541350,31843276,24323691,19128778,13658122,12708378,8634418,5615127,5615125,8634414,12708373,17935324,17006751,11920185,11920186,15221829,21183200,28404112,36897116,28399645,21179202,21179201,28399643,22137147,16020650,16020648,22137144,29473511,22137115,16020630,16020631,22137118,29473585,38036403,30462033,23054034,16807854,11753424,11753425,16807856,23054036,30462036,39051538,269351413,38574080,30003404,22633638,22633639,30003406,38574083,256660754,33963294,32413384,24788337,18306012,18306011,24788334,32413383,33676210,33676211,42706284,34976291,26897079,20015374,20015375,26897082,33962669,43020264,47368157,47368156,37462811,28923228,21647611,15614535,15614534,19211284,13722337,9400034,6158665,6158666,9400038,9400042,13722349,19211299,25869045,19470957,13935554,13935555,19470960,23773028,17444007,17171468,17171469,23446929,30877251,32129455,24549343,18113370,17444010,17444011,23773032,26125087,26125086,33963284,255965988,43071481,39932845,39932844,31257970,25870174,19212088,13722868,13722869,19212090,17171457,17171456,23446912,30877231,39482559,49412296,39932599,39932600,49949685,41028880,32236409,31257892,23773115,17444057,12296390,267909385,3293834,1937205,1106533,1106534,1937207,3293839,5358417,5358404,5358403,8304868,12296362,17444004,23773020,24549370,18113387,18113388,18113415,12843953,8734281,5686289,3537312,2105588,2105587,3537309,5686283,8734270,12843927,18113368,12843936,12843935,14345393,9855803,9855804,14345395,20028387,26912810,255015410,30207408,23291190,23291191,30707404,39305212,255528028,49099962,254565414,23153673,16892448,11820780,7899016,7899015,11820774,16892439,23153659,23289349,17031508,11945995,7996021,7996019,11945992,17031501,23291280,25302359,18727539,18727540,22078126,29408756,24046437,18271641,18271639,24744876,32361292,39305349,30707577,30707576,33028628,30707023,23290742,17031074,17031073,18727575,18727574,25302405,30707411,23291105,17031364,11945890,7995953,7995954,11945894,17031371,23291113,30707428,31061019,23577496,17265855,17265854,23153644,23153643,30571304,38281114,38281113,33028413,33028412,30707560,30707559,39305328,49232055,60633044,60007795,60007778,60007777,63044421,51363301,41177119,41177120,51363307,49757400,39738858,31061047,31061046,32361268,32361267,32361262,32361261,41177112,49065819,39135471,30536556,30536555,39135466,41971738,33028612,33028610,32361284,32361283,41177135,42711578,39152785,255974942,55485652,48617650,38702849,38702850,48617654,60007711,60007753,60007752,59324572,47932595,47932596,44635569,35251117,35251111,27152553,27152551,35251099,44635542,55485614,67826903,81292931,86338290,72741753,60006067,60006068,72059062,72059063,85646327,72743162,60008233,60007772,48617743,48617744,60007775,72741705,60690313,60690312,72742773,72742755,60007593,60007595,72742759,72740554,72740553,72742666,60007631,60007623,48617563,48617564,60007599,49288884,39361768,39361767,49288880,60690267,73438561,73438536,73438308,60689896,60689897,60005396,60005395,72741256,269819227,48614854,48614816,48614815,39361499,30760550,30760551,32602152,41480065,39361484,39361485,39361584,39361490,38699043,38699044,38699879,30122661,22740081,22740082,30122666,30121773,22739363,22739365,30121777,30760534,38702056,38702057,48616929,48614666,48614667,60005447,71558919,257470555,38702059,30125294,22742894,22742893,30125292,38702055,38701996,30125214,30125213,38699979,38702191,38702192,47445468,38702098,30125319,30125318,30125608,38702132,38702131,48616985,48617875,48617874,48616795,38701888,30125067,22742671,22742672,30125069,38701891,48616800,38702320,30125556,30125558,38701876,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,22743003,16535137,16535136,16535376,255491761,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,16532057,16532644,268936886,11521960,11521959,16532111 Dl.O(d2) = 30125413,30049176,22739726,16532165,16532164,22739723,22740135,16532519,11522255,11522254,11522247,11522245,16532507,22739666,30122207,22743027,16535168,16535169,16535123,16535124,16535118,16535119,16535129,22742992,22743402,30125443,22743161,16535297,11524654,7666600,7666599,11524651,16535291,22743152,30122718,22742971,22742970,16535817,268232701,16532466,22740059,22743226,16535378,11524771,11524769,255491761,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,16532057,16532644,268936886,11521960,11521959,16532111,16532720,11525139,7667091,7667090,11522387,7667510,4851625,2923703,1696021,964419,964418,1696017,2923327,1695772,1695773,2923333,4849703,7664952,4850098,2922596,1695288,1695285,2922589,2922256,2922257,1695474,1695473,2922853,2922937,4850577,7666239,4851685,4851686,7666315,7666260,4850601,2922952,2922951,1696012,1696013,2923693,4851605,4850373,4850374,7665967,4851636,4851635,4851575,4851569,2923670,2923667,4851563,4851545,2923655,1695996,1695995,2922786,4850366,7665957,11523992,7666333,7666332,11524342,16534843,16536486,11525698,7667570,4851664,4851663,7665883,11523915,11525716,11523868,7665837,7665839,7665873,4850281,2922717,2922716,4850276,4850305,7665892,11523933,11525724,16534605,11524111,11524110,16534589,22742392,16536437,16536438,16534466,11523924,11523922,16534354,16534353,16535856,11525250,7667446,7667417,255110437,11525586,11525587,16534379,11525003,7666958,4851192,4851193,7666965,11523798,7665804,7665805,11523804,11523779,7665794,7665792,11523767,16534319,22742043,16534188,16531454,16531455,22738666,30120868,30126186,30126185,30124805,22742375,16534576,16534577,22742379,30121095,38697963,38697842,38697840,30126124,30126123,30121093,22738893,16531613,16531614,22738895,22738532,22738531,30120709,38697631,30125724,30125725,30126995,30120962,30120964,22743647,16535717,16535719,22738849,22738848,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524910,16535499,16536478,16536477,22743332,22743330,30125744,38697438,30120538,30120539,38697439,48613149,256535460,36733557,28238882,28238881,30120592,30120892,38697780,36733536,28238866,21040389,21040390,28238875,36733547,30805716,28238906,28238905,36733611,38271032,38271031,36725649,28231950,28231948,36725645,44498250,35120726,35120725,44498257,55344565,57989372,48613490,47281142,47281141,50254696,57997811,48613473,48613474,57997757,46621687,36733555,36733554,38701635,48616567,50254825,57997877,49385198,39457165,30852957,30852959,38703766,37371803,37371802,47281087,46621872,46621628,36733501,28238848,21040381,15112851,15112850,21040379,23377609,17107820,15112866,10424247,6872723,6872725,10424253,15112874,21034848,21034849,28231957,36725659,44498253,44498252,55344560,48354313,38452400,36733640,36733641,46621822,57997821,46621735,46621734,57997815,57997830,70714293,70714335,57997937,50254881,50254880,46621788,46621787,57997876,57997933,46621838,36733648,36733646,46621834,57997928,57997964,57997716,46621643,46621644,43907281,34634462,26643598,26643597,34634457,39410765,31549455,25437626,25437616,25437615,30852966,23422234,17145183,15108586,15108587,21034857,28231967,36725680,39811579,39811580,46613216,36725666,36725664,46613210,57989405,46621739,36733581,28238895,28238896,36733585,46621746,46621849,46621848,57989476,46613308,36725758,36725757,46613303,57989468,57997945,46621845,36733675,28238933,28238932,36733669,46621867,50254692,50254693,42172145,33212510,33212511,31549446,31549445,31549457,24045825,24045824,23641981,17693337,17693339,21034881,15108601,10420914,10420913,15108593,21034870,28231984,31025256,23544083,23544084,31025264,39702358,49720823,42142102,33182597,33182598,42142105,40429392,40429391,33182635,33182636,39457171,31735160,24226607,17854810,17854811,24226612,25545589,27978202,27978204,31843175,31843176,40541264,269415725,50577257,40542062,39051501,30461999,23053996,16807829,254808867,4981587,3009313,3009314,4981589,7847700,11753420,15217732,15515067,10730343,10730345,12709099,15226740,15226738,21189592,28411115,30003219,36381478,27937132,20783922,14896250,12708821,12708822,17936026,16942110,12708573,8634521,8634519,12708569,12709392,11458912,11458913,16446365,13658122,12708378,8634418,5615127,5615126,8634415,8634483,12708504,17935288,12708330,8634391,5615113,3488019,3488018,5615111,8634388,11753399,11753400,16807824,17935276,17935277,24322712,24324619,24324618,31844233,36381300,27936961,27936962,36381302,30462047,23054043,16807861,15225697,10502514,10502515,254479304,8634526,5615177,5615178,8634528,12708589,17935672,15226751,10503233,6925688,4350779,4350778,6925685,8634376,5615105,3488014,2605759,2605760,4350963,6925998,10503710,7974583,7974582,11920186,15221829,21183200,28404112,36897116,28399645,21179202,21179201,28399643,29473623,28410550,28404966,23054031,23054033,30462031,29207030,21893604,21893603,28404972,21183948,15222393,15222391,21183946,17935594,255598537,24788343,24788344,32413391,28404107,28404106,28398052,21177859,21177860,17935621,12708555,12708556,17935622,24323113,30461977,39051487,47199821,40541350,31843276,24323691,19128778,13658122,12708378,8634418,5615127,5615125,8634414,12708373,17935324,17006751,11920185,11920186,15221829,21183200,28404112,36897116,28399645,21179202,21179201,28399643,22137147,16020650,16020648,22137144,29473511,22137115,16020630,16020631,22137118,29473585,38036403,30462033,23054034,16807854,11753424,11753425,16807856,23054036,30462036,39051538,269351413,38574080,30003404,22633638,22633639,30003406,38574083,256660754,33963294,32413384,24788337,18306012,18306011,24788334,32413383,33676210,33676211,42706284,34976291,26897079,20015374,20015375,26897082,33962669,43020264,47368157,47368156,37462811,28923228,21647611,15614535,15614534,19211284,13722337,9400034,6158665,6158666,9400038,9400042,13722349,19211299,25869045,19470957,13935554,13935555,19470960,23773028,17444007,17171468,17171469,23446929,30877251,32129455,24549343,18113370,17444010,17444011,23773032,26125087,26125086,33963284,255965988,43071481,39932845,39932844,31257970,25870174,19212088,13722868,13722869,19212090,17171457,17171456,23446912,30877231,39482559,49412296,39932599,39932600,49949685,41028880,32236409,31257892,23773115,17444057,12296390,267909385,3293834,1937205,1106533,1106534,1937207,3293839,5358417,5358404,5358403,8304868,12296362,17444004,23773020,24549370,18113387,18113388,18113415,12843953,8734281,5686289,3537312,2105588,2105587,3537309,5686283,8734270,12843927,18113368,12843936,12843935,14345393,9855803,9855804,14345395,20028387,26912810,255015410,30207408,23291190,23291191,30707404,39305212,255528028,49099962,254565414,23153673,16892448,11820780,7899016,7899015,11820774,16892439,23153659,23289349,17031508,11945995,7996021,7996019,11945992,17031501,23291280,25302359,18727539,18727540,22078126,29408756,24046437,18271641,18271639,24744876,32361292,39305349,30707577,30707576,33028628,30707023,23290742,17031074,17031073,18727575,18727574,25302405,30707411,23291105,17031364,11945890,7995953,7995954,11945894,17031371,23291113,30707428,31061019,23577496,17265855,17265854,23153644,23153643,30571304,38281114,38281113,33028413,33028412,30707560,30707559,39305328,49232055,60633044,60007795,60007778,60007777,63044421,51363301,41177119,41177120,51363307,49757400,39738858,31061047,31061046,32361268,32361267,32361262,32361261,41177112,49065819,39135471,30536556,30536555,39135466,41971738,33028612,33028610,32361284,32361283,41177135,42711578,39152785,255974942,55485652,48617650,38702849,38702850,48617654,60007711,60007753,60007752,59324572,47932595,47932596,44635569,35251117,35251111,27152553,27152551,35251099,44635542,55485614,67826903,81292931,86338290,72741753,60006067,60006068,72059062,72059063,85646327,72743162,60008233,60007772,48617743,48617744,60007775,72741705,60690313,60690312,72742773,72742755,60007593,60007595,72742759,72740554,72740553,72742666,60007631,60007623,48617563,48617564,60007599,49288884,39361768,39361767,49288880,60690267,73438561,73438536,73438308,60689896,60689897,60005396,60005395,72741256,269819227,48614854,48614816,48614815,39361499,30760550,30760551,32602152,41480065,39361484,39361485,39361584,39361490,38699043,38699044,38699879,30122661,22740081,22740082,30122666,30121773,22739363,22739365,30121777,30760534,38702056,38702057,48616929,48614666,48614667,60005447,71558919,257470555,38702059,30125294,22742894,22742893,30125292,38702055,38701996,30125214,30125213,38699979,38702191,38702192,47445468,38702098,30125319,30125318,30125608,38702132,38702131,48616985,48617875,48617874,48616795,38701888,30125067,22742671,22742672,30125069,38701891,48616800,38702320,30125556,30125558,38701876,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,22743003,16535137,16535136,16535376,255491761,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,16532057,16532644,268936886,11521960,11521959,16532111 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 1414925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15098769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15098769, s2 = 202924, int(edited[s2]) = 0 s1 = 15098769, s2 = 202924, d1 = 13, d2 = 8 Dl.O(d1) = 7629588,7629589,7497552,4739444,2856384,2856387,1657807,1657806,2856462,2815339,2815340,4673047,2815816,1633590,928999,523637,293467,162301,89217,49068,27440,15545,15544,27432,49048,89183,162245,293384,523486,928754,1633171,2815039,4672433,2911121,1688782,960390,960392,1688790,2911136,4831203,7398315,11153965,11152453,7399479,7399478,11152455,16061593,11469014,7628788,7396554,7106617,4474197,4474193,7106602,4739605,4739607,4825978,4825980,7627640,7398343,7395868,7395869,7397834,4673538,2815632,1633495,928937,523611,523613,928956,928690,523447,293361,293362,523451,523478,928742,1633147,2815008,4672478,2815528,2815184,2815183,4672789,7396707,11151829,11152953,11152952,16062231,16479253,22195008,16066440,16062862,16062221,15990997,11100976,7361828,4650174,2801041,2801040,4650167,7361822,4696705,2829821,1641868,1641834,1641835,2829763,4696614,4673384,2815544,1633443,1633444,2815548,4673393,7397223,7399571,4674511,4674512,7395949,4672292,2814887,2814886,4672290,2829674,2829673,4696470,7395587,4696439,4696441,7396722,7432552,7432549,11150828,7395973,4672321,4672318,7395983,11150845,11151728,11150734,7398030,7398028,7399498,7399497,11155925,16066462,11201746,7432691,4696727,2829837,1641877,933603,526164,526163,933598,1641856,2814957,4672406,7396110,7432378,4696544,2829716,2829715,4696542,7432376,7432966,7396189,4672465,2829739,1641821,1641820,1641799,1641800,1641769,933562,526146,526147,933567,1641779,2829664,4696453,7432246,11201141,11201666,11201665,11202557,11201116,11201117,16124912,16127120,16127121,256395529,255899756,29166184,29166185,29536902,29536900,22194176,22194177,22193598,22193601,29536749,38100420,38100244,38100245,48011013,39218976,38185708,29618608,29618609,28329756,21119047,15171927,10463676,10463673,15171916,21119031,28329526,28329527,21118995,15171899,15171897,21118986,28329658,29913592,38471774,38100754,38100753,38198065,38198067,46707150,36825083,28329552,21118890,18858951,18858945,13436723,13436721,18858936,25458415,29535534,29535530,29535529,38099425,31163290,23674799,23674800,31163293,38099716,29535880,29535878,38099709,30621685,30621686,29536300,22556235,16378560,11398852,11398849,16033928,16033929,22154244,22192482,22192484,29535721,29535894,29535893,36825258,28329669,28329668,36825250,33205848,29535264,29535263,29535479,29535478,28329593,21118928,15171867,10463653,6897279,6897278,10463648,15171854,16064082,255454443,16064225,11154378,7398549,4673963,4673964,7398557,11154399,11472933,11155374,11155373,16065710,15857327,10990899,7275729,7275727,4674029,4674030,7398692,7398742,4674054,4674055,7398747,11154711,11155391,16065729,12329798,12329797,17487211,23824083,22194064,17487189,17487167,12329760,8329195,8329192,12329752,16065361,16063968,16063966,22192116,22193203,16064885,16064883,16466395,16065911,11155517,7399200,7399199,11155336,7399103,7399105,11155326,7631222,4828049,4828050,4828013,2909391,1687847,1687845,2909384,4588457,2760616,2760615,4588451,7275743,7399123,4674249,2816027,2816028,4674252,7399130,4674256,4674258,7399150,11155154,16065458,22193911,22192159,21128818,15180337,10470834,10470835,15180342,16065385,11155104,11155102,16065375,22193386,22193194,16064878,16064876,22193188,16466504,11473084,7631263,4828072,2909421,1687857,959914,541058,541057,959910,1687853,2909408,4828054,7631230,11473022,16466434,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,7865481,4992659,3016294,3016291,4992652,7865465,11780360,16845143,15134001,15133995,10437913,10437911,11154922,11154921,16065084,21128973,21128941,21128938,28341062,29534812,29534811,28341137,21128999,15180453,15180272,10470784,10470783,15180267,21128703,22194229,16065806,11155442,7399170,7399169,11155438,11154159,7398435,7398436,11154145,16063832,22191963,28340900,21128779,21128780,28267030,21064218,15130386,10435718,10435720,7865471,7865472,11780379,16845187,17946761,24336742,22670222,22670221,22191812,16063737,15170201,10462680,10462679,15170194,21116333,21128971,16063641,11154046,7398378,7398379,11154051,16063652,22191672,28340829,22267798,22267797,28297813,28297812,28341035,21128909,15180401,15180403,16064685,22193017,22191889,16063792,11154127,11154129,16063799,22191900,22192185,16064014,16064013,16064043,11154275,7398488,7398487 Dl.O(d2) = 22159004,22159005,29497856,30045377,22669975,22669974,30045338,22669930,16474200,11478370,11478371,16037878,16037877,16474086,22190249,16474261,16474260,16474133,16474132,11479041,11479040,16475159,16476234,16476208,16476205,16476473,16476472,12144783,12144782,11291998,11291999,7635314,4830404,4830405,7635074,11292012,7497191,7497189,11292010,16242127,22404359,268411295,38619518,38619272,30047183,30047186,255843474,30047234,30047228,22671880,16475861,11480390,11480391,16477171,16474129,11479510,11479509,11291939,11155802,7399395,254541331,2910405,4829816,254361551,254789765,254707963,4252040,4830489,2910761,1688605,960296,541256,303313,303311,541237,960232,1688484,2908926,1687565,1687564,2908923,4827108,7629586,11470369,16462510,22655209,256425723,38602523,48517238,46283839,36431034,27972347,255781997,14913617,11735642,7835173,4973486,4973487,7835182,7702419,4874766,4646303,2798788,2798789,4646310,4874889,2937451,2937452,4874570,2937269,2937270,4874574,7702105,11571282,16591733,22809220,30200036,38784309,48706424,60101900,72838458,86432922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15098769, s2 = 202924, dlinesl.size( ) = 2 s1 = 15098769, s2 = 202924, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15098769, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 8215386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8215386, s2 = 999941, int(edited[s2]) = 0 s1 = 8215386, s2 = 999941, d1 = 19, d2 = 22 Dl.O(d1) = 254472180,18574169,25126674,32831704,33174827,33174828,33174830,33174831,32239694,24641658,24641659,25461606,33174825,25432111,25432109,23813923,17479661,12324110,254299042,3303278,5372441,8324849,12324118,17479673,12549175,8508304,5508800,5508804,8508309,12549186,17736299,13419236,13419238,18834433,25329582,25329583,19235225,13742587,9415637,9415638,13742589,19235230,18827477,18827476,25419403,23098289,16842376,11778305,7864018,4991561,4991562 Dl.O(d2) = 21120434,28331776,28424338,28424336,28331323,28331322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8215386, s2 = 999941, dlinesl.size( ) = 8 s1 = 8096619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1645675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11217880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217880, s2 = 14243406, int(edited[s2]) = 0 s1 = 11217880, s2 = 14243406, d1 = 21, d2 = 0 Dl.O(d1) = 113825883,99810690,258281496,72265761,85857447,85857449,257672544,256541966,29667734,22316047,16170995,254607804,19703104,17932672,12706273,8632803,5613758,5613757,8632800,12706268,17932662,16171001,11238725,7459369,7459367,8576927,8576926,12632117,17838547,21067863,15133135,15133134,15739943,15740175,10901111,10901112,15740178,21800105,22573913,22573912,29936301,22573923,22573920,23350302,21064055,21064054,25596470,18986433,268299915,21171134,15212616,10493635,10493634,15212614,14045056,14045058,18979073,18979074,23777125,17447239,12298596,12298598,12089327,12089326,17192656,23474300,30700530,37149153,47038304,39297912,39297913,31262259,31262261,256348054,21703353,21703354,28986729,30018850,31262302,31262303,38591422,268389952,23777104,31262291,39297915,39297916,39297998,30700392,23284638,23284637,23284632,23284631,30700385,26167080,19466533,19466532,26167077,28273255,21070125,21070126,26167085,28273272,21070140,15134908,10438567,6881412,4319546,4319544,6881404,10438556,10651792,15410114,21395499,22967528,22967527,30369020,30700471,37149166,30700580,30700581,39298174,34202054,34202055,37149160,28983335,21700756,21700754,28983330,36768323,30700326,23284590,17025416,17025415,17447218,15660524,10841185,7166949,7166947,254508436,21700790,28983371,28634827,21395445,21395446,28634828,28983278,21700727,15660486,10841162,7166935,4513972,2712348,2712349,4513975,7166941,10841171,15660499,21700751,256347635,47434744,42685439,33655203,25850494,19195061,13709138,13709139,19195064,25850497,33655210,31703522,31703521,37527195,37527196,47434746,58821197,58411028,47038419,47038418,47688579,42611881,33587928,25792267,21892580,15814954,10959658,10959657,15814949,21892571,29205833,37767250,37767251,47688552,47434786,37527232,28983255,21700714,15660480,15660482,21700719,28983264,30368986,38955100,37527470,29205765,21892535,21892534,29205754,37767214,30665269,23249513,23249514,29921369,22562070,22562069,29205743,21892527,21892526,29205739,22547284,16371339,11393412,8394345,8394347,12419697,17595266,23939207,17597530,12421140,8395129,8395130,12421142,17597533,18441022,18441023,21646555,255571315,12422024,12422025,12422036,15613668,10802789,7137966,4494025,4494023,7137960,10802779,12421327,255181133,20065408,16037656,254766315,7386231,268083195,17106809,12020838,12020836,8080400,8080403,12020856,10603751,6996329,4396852,2634748,1521469,1521470,2634753,4396865,6996349,10603700,6996305,4396842,4396841,6996300,10603693,15349485,21320003,23376542,21320113,21320112,23376538,19173752,13692010,9376967,9376966,13692004,19173744,25825004,33626823,30804593,23376586,23376585,28543740,28543741,37042855,37042868,30805320,23377226,17107465,17107464,268103145,8080395,8080396,12020843,17106814,23376558,21320121,21320072,15349532,10603720,6996314,6996313,10603718,15349471,15349472,10603707,6996308,4396843,4396845,6996311,10603716,15349529,255825635,37042423,37042489,33626829,25825010,19173747,19173748,25824995,28543367,21320060,21320061,28543371,28543294,21320302,15349645,15349647,21320311,28543747,37042863,37042750,37042749,37042757,37042756,33626837,33626838,30804551,30804550,35148573,30804559,30804560,36561145,28091180,20917084,15011039,15011040,20917087,21320076,28543398,28543663,21320249,21320041,15349510,10603705,10603704,10603712,15349520,21320057,28543363,37042340,37042339,37042350,28543652,21320244,21320246,28543658,33626811,37042396,28543529,21320166,21320165,21320146,21320145,28543503,28543736,37042850,37042858,46920744,37042742,37042545,37042546,46920554,42655729,42655730,46920497,44525097,44525095,46920484,46425323,46425324,36561138,28091172,28091165,28091166,36561128,46425319,37042381,28543356,28543336,21320035,21320024,15349500,15349502,15349516,21320048,28543352,37042344,28543327,21320028,21320027,28543321,37042334,37042731,46920734,53107697,46920601,37042591,28543518,21320154,15349595,15349596,21320160,28543521,37042596,46920614,58286428,46920737,46920477,46920479,58286350,46920500,37042510,28543471,21320129,21320128,28543468,256854239,57780300,46920511,46920513,46425317,46425316,57780288,70480541,58286202,46920341,37042367,28543345,21320043,21320042,28543343,37042365,46920338,46920317,37042320,37042319,46920314,58286170,71001373,84565297,71001748,58286478,46920586,37042579,28543508,21320148,21320149,28543511,37042581,46920590,58286486,71001757,71001558,58286347,58286349,58286422,46920540,37042537,28543483,21320133,21320131,28543479,37042531,46920531,58286406,71001626,71001627,58286439,58286440,58286164,46920308,46920307,58286161,71001359,84565278,84565334,71001405,58286200,46920335,46920336,58286181,58286471,46920582,37042575,37042560,37042561,46920569,58286454,71001710,84565660,71001745,71001744,73492122,73492121,87110890,84565729,71001751,71001739,71001738,84565525,84565277,71001659,58286414,58286416,71001665,71001604,58286382,46920516,37042519,37042520,46920519,58286387,71001617,71001622,71001621,58286443,58286442,71001650,71001649,84565289,71001579,58286367,58286368,71001583,84565322,84565313,71001394,71001380,71001381,84565307,98488353,98488690,84565635,71001690,71001689,84565632,84565654,98488710,84565705,84565704,98488783,98488796,101108997,112479915,112479917,126347377,126347362,112479894,98488336,84565608,84565607,84565563,84565561,98488601,84565559,71001597,58286376,58286375,71001593,84565555,98488593,98488636,84565623,84565622,98488675,98488661,98488663,112480209,98488578,84565541,84565542,98488583,98488872,98488873,98488362,98488361,112479922,112480479,126347386,112480342,98488686,84565626,84565624,98488682,112480338 Dl.O(d2) = 39924711,39924713,49942482,39924716,268556560,23764620,31249092,39924713,49942482,39924716,39924715,49942484,61420558,49942493,49942492,61420566,258874299,87802699,74199170,61420557,52841199,42436249,42436248,42391677,33402703,25636455,25636456,33402705,42250848,42250849,46781208,36903397,36903398,46781209,39868376,31185929,23696247,23696246,31185927,35172708,29394014,22063602,22063601,29394012,37958632,47876591,59272064,55397120,44550370,35172715,27084227,20185951,14482774,14482773,20185950,27084224,27084233,20185953,14482775,9964554,6548921,4102739,2454130,1418673,1418674,2454133,254473533,9964596,14482832,20186028,27084121,20185846,14482712,9964523,9964524,14482714,20185850,255215409,8712748,8712747,12814637,18075651,24504136,20185842,20185841,24696028,18226812,18226810,24696026,32309239,41122289,38327499,29757805,29757806,33367915,28098833,20923375,18400067,254900393,5811496,5811495,8905815,13069378,18400063,22686516,16486918,11487176,7640352,4833738,4833739,7640355,11487182,16486930,18399982,13069321,8905777,5811475,5811474,8905775,13069315,18399970,24903637,21134358,254844476,4337602,2596804,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217880, s2 = 14243406, dlinesl.size( ) = 24 s1 = 1789197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1789197, s2 = 10353075, int(edited[s2]) = 0 s1 = 1789197, s2 = 10353075, d1 = 9, d2 = 48 Dl.O(d1) = 47036622 Dl.O(d2) = 10995079,15863484,21954947,29279392,32176203,33048719,25320748,25320749,31823184,31823182,36849438,36849437,37743243,29182452,29182453,259343109,113339524,261688801,118404494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1789197, s2 = 10353075, dlinesl.size( ) = 2 s1 = 1789197, s2 = 10353075, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1789197, Dl.E( ) = 58, 2.19e-05 seconds used appending s1 = 8230910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13199691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6508531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8416660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13962033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13962033, s2 = 13245484, int(edited[s2]) = 0 s1 = 13962033, s2 = 13245484, d1 = 42, d2 = 32 Dl.O(d1) = 29910434,256551411,24236527,17861697,12648693,8587904,5580279,5580278,8587897,12648675,17861667,24236473,24236550,17861711,17861712,24236553,22812571,22812570,30203895,38788653,40442128,40442136,40442135,38463018,29905749,29905750,28907086,21633000,21633002,28907093,37446253,29787023,22422222,22422220,29787015,24014817,24014818,31515770,31515807,36777610,28281540,21076555,21076554,28281537,36777520,36777519,40441954,31747412,24236421,24236422,31747420,40441961,31747513,24236494,24236495,31747517,40442011,40202598,40202597,31516015,24014968,17667039,12493023,12493022,17667035,24014960,31516001,40202477,31515878,24015065,24015064,31516170,31516199,40202864,40202862,47352796,37446247,37446246,40442040,40202786,31516106,24015024,24014820,17666969,12492992,12492991,17666966,24014816,28907075,37446228,47352777,50224439,40202113,40202112,50224436,50224447,50224469,40202137,40202139,50224474,40202717,31516063,24015003,24015004,31516067,40202726,50224949,40442113,40202649,31516005,31515981,24014954,24014955,31515987,31515625,24014721,17667093,17667091,24015056,31516165,31515852,31515853,38465798,29908387,29908388,31515603,24015038,17667082,12493045,8461536,5467206,3361843,3361842,5467201,8461525,12493019,17667030,24014948,31515966,40202104,31515589,31515591,29908352,22551921,22551922,29908357,38465763,40202702,38465779,38465780,31516072,31516070,40202731,40202740,31516074,31516076,40202745,50224857,40202612,31515976,31515975,38465860,29908430,29908431,31516151,31516150,31516155,40202827,40202434,40202435,48367260,38465793,37147248,37147250,30847334,23417061,23417062,17666929,12492978,8461507,8461509,12492986,17666945,24014792,31515725,24014926,24014928,24014858,24014855,31515829,24015012,24015014,31394604,23901133,23901132,31394600,40075953,40202363,31515795,31515796,40202368,50224657,40202753,38703733,38703732,40075978,31394616,31394615,38465879,29908436,22551965,22551966,29908440,38465884,48367355,59749853,72484119,72743149,60008184,48618298,38703729,268412871,22744512,256295272,38950548,48870211,258023188,257556978,50224643,256833970,48870220,256976350,59749868,48367372,48367373,257556976,59749848,48367340,38950538,38950539,48870197,53834707,50448618,40414312,40414311,50448613,59749862,59749863,50224548,40202212,31515671,31515673,40202217,38700920,30123935,22741385,22741387,30123940,31515872,40202473,48616168,38700915,30123931,30123930,38700911,48616159,43309986,43309987,53834755,46920871,37042847,28543727,28543728,37042842,46920854,47725237,37803710,29239854,21921046,21921049,29239864,37803730,47725253,38465740,29908343,29908341,38465731,37803677,29239840,29239839,37803672,40202690,43309919,38465892,38465891,47725182,37803651,29239824,29239822,37803641,30121192,30121191,38698075,34249838,26372748,26372751,33206194,33206224,33206223,33206132,25458668,18859130,18859131,25458673,33206140,34211725,43309993,37803530,37803529,38698083,38698084,43310170,34211931,26338113,26338114,34211936,38698000,34211927,34211926,43310191,48617961,38703266,38703270,34211569,28987955,28987956,37532750,47440821,58827160,47725292,37803757,37803758,37803622,29239812,29239814,29239801,29239802,37803607,34211777,26338003,19609476,14051351,9661992,6353627,3986527,3986529,6353632,9662000,14051370,19609511,26338073,33860024,26038621,26038620,29239755,21920992,15836154,10974078,10974079,15836161,21920998,29239766,37803568,38697874,30121173,30121174,38698049,34211489,26337812,26337811 Dl.O(d2) = 84353742,84353743,98261123,107412224,93004184,93004185,93004181,93004180,257492654,95635188,95635189,109838896,112238929,269638036,91446789,258026070,71919527,71919529,71919532,84353328,84353329,84353330,84353331,84353471,98260881,84353741,70795145,58077787,58077786,70795143,84353739,71919521,71919522,84353433,84353435,70795137,58077780,58077779,47765219,47765218,59164097,52385580,52385579,64241480,77392305,91311260,81602277,81602278,84361661,70803055,70803054,81602289,84353462,77734074,77517044,64351801,52481843,52481842,55717219,47782081,37858244,37858245,47782083,58077525,58077524,58077408,58077409,70794728,77392303,84353425,70794823,58077490,58077489,70794821,77734071,255809178,255380856,58077795,46705618,46705619,58077773,46705593,36822828,36822827,37858240,29289406,29289405,37858237,47782075,52481850,42127093,42127092,52481847,44810737,44810739,46714345,55717238,55717237,68113543,58077529,46705387,46705388,37842134,37842135,42869560,36822849,36822850,46705615,46705622,55717201,58077412,46705309,46705310,58077415,70794730,58077515,46705373,36822617,28327049,21117065,21117066,28327054,36822623,33285956,33285957,36837576,36822857,36822801,28327212,21117203,21117202,28327241,29275801,21962852,21962850,29289410,37858248,47765194,37842525,37842526,44810744,35386285,27260997,27260998,35386288,37859223,37859200,29290219,29290211,29290210,28327069,21117072,21117071,28327063,36822632,28327263,21117219,21117220,27260961,20326778,20326779,21951744,15861127,15861128,254756774,15170717,15170716,21117068,28327060,36822626,28327253,21117213,15170798,10463072,10463071,15170794,21117206,28327245,22873895,22873894,30271040,33285951,42265964,52651886,47765263,37842583,29275832,21952098,21952099,29275838,21963463,15869682,10999128,7281029,7281031,10999137,15869698,21963437,21117238,20326805,14587691,10037617,6596452,6596451,10037613,14587682,20326789,27260980,35386263,30271153,22873980,16645766,16645765,15170729,10463033,6896963,4329423,2590088,1493095,1493096,2590091,4329434,6896986,10463084,15170816,21117248,16645733,11613699,11613697,16645729,12625469,8571431,5567363,3451357,3451356,5489988,3380672,3380671,3383422,5493127,5021852,3039641,3039642,5021854,5546222,8323455,5539483,5539484,3784106,2267007,2267009,3784109,3423532,3423531,3449287,5022215,7900801,255134985,254867963,5568560,5568561,8572784,11822464,254873021,5565404,3449029,3449030,5541241,5541242,3440564,2036009,1166288,654536,362948,198618,108221,108222,198621,362955,654549,1166309,1155394,1155397,1295743,1769145,2006915,1764237,1005093,1005091,655927,655926,1168681,2006879,3403169,3409205,3409206,3432682,3432683,3294467,1937584,1937581,1938007,1938006,1108949,1108951,1157789,2023133,2861923,1660989,945059,945058,1660983,2861907,4748713,5020171,5566101,5566100,5020322,3038076,3038078,5020323,5487749,5348342,254589759,5568814,3452711,2045763,2045764,3031889,3031888,2009509,1149051,1149050,1172861,2045636,3378952,3378954,5488222,5542398,8521815,7712655,7712654,5540881,5540882,5557617,254608831,3407212,3407211,2034591,2034592,3407217,3407216,5520459,5594937,5594938,5540860,5540861,5540859,3426184,2024527,1158671,1158672,2010388,1149616,644903,644904,1149618,254174153,1007945,1768693,3037961,5020160,3426198,2024537,1158677,1158676,254279413,3474803,2061582,1183184,1183182,1295592,2234158,3456667,2267150,1315202,750628,426580,426578,750620,1315187,2266976,1315079,1315080,1766580,1315371,1315372,1155395,1155397,1295743,1769145,2006915,1764237,1005093,1005091,655927,655926,1168681,2006880,3403172,2010251,2010254,2010272,1149529,1149531,2010275,2024612,1172786,658318,364912,364911,254139403,2045536,2013609,1151692,1151693,2013614,3411938,5516200,5017163,3035132,254365091,2941425,1988076,1135876,1135877,1988079,3377406,5486580,8485708,8539176,8539177,5539443,5357180,254590769,8572652,254419081,3452274,5568404,5529125,3415026,2015832,2015833,3415028,254606539,5499530,267913197,3399960,2004496,2004502,1996655,1996654,2034301,1165178,1165176,2034293,3438505,5356477,3438894,2034622,1183183,1183182,1295592,2234158,3456667,2267150,1315202,750628,426580,426578,750620,1315187,2266976,1315079,1315080,1766580,1315371,1315372,1155395,1155397,1295743,1769145,2006915,1764237,1005093,1005091,655927,655926,1168681,2006880,3403172,2010251,2010254,2010272,1149550,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021899,3422855,2042073,2042072,1988067,1988068,3377396,3453256,254192993,658622,658478,364997,364998,658479,1173055,2045893,3452812,5568916,5594690,7215522,4546313,2733000,1583666,900354,900352,1583663,2732989,4546297,3039302,1769738,1008582,568444,318380,175969,175970,318381,568446,1008585,1769745,3037943,3037942,5020142,6047536,6047537,8482636,254610247,254415091,3418157,5532588,8534511,5537923,3423337,3423335,3471976,3471977,5013523,5013522,5014270,254613947,3449515,2043132,1171160,657361,364432,364433,365008,365007,254419177,8573090,11563281,9144169,9144170,9857102,14346940,268292204,5090679,4318022,3083919,2709956,2709959,3087565,2712923,1801470,1801469,3070350,1804144,1804143,3087467,5088410,5044402,3054849,1780033,1014979,572115,320448,177302,97685,97688,177311,320465,572146,1015031,1014580,1014581,1779450,3054079,3084949,3076475,1795033,1707612,970634,970633,1027762,1795048,254253831,3053488,5042920,7171756,254565363,267794471,1016819,1014388,571788,254087937,177227,320286,571786,1014380,1022503,1573170,2714925,1573084,1573083,1779475,254376643,3092541,3052320,3052321,3086449,5087258,4936951,4936953,7787178,11678690,11684300,7971329,5072137,5072138,7785066,255124905,11673068,11673067,11679064,7787551,4937286,2979181,2979176,1729343,1729342,2979172,4937274,254552481,2976459,1727483,982033,982034,553182,309575,309574,553180,254171779,254369777,1731628,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728838,1728835,2978456,4936266,4938141,4938142,4935514,2977934,1728471,1728474,2977939,2979533,2979532,4936861,4936860,7787088,4938712,4938711,4944297,2983984,1732342,1730036,983506,553688,309856,309857,553691,983513,1726925,1726922,2975542,2982864,4942786,4935996,2980025,1729891,1729893,2980030,4936566,2978636,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,4940600,7792249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13962033, s2 = 13245484, dlinesl.size( ) = 2 s1 = 13962033, s2 = 13245484, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13962033, Dl.E( ) = 54, 3.81e-05 seconds used appending s1 = 8154521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6678473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052980, s2 = 9659961, int(edited[s2]) = 0 s1 = 14052980, s2 = 9659961, d1 = 1, d2 = 1 Dl.O(d1) = 257906451,81068853,70453290,57758227,46407462,36545918,28077795,28077794,36545917,46407460,57758203,57758204,67589609,67589608,81057059,256051810,95192611,83981216,70453305,67587124,61888627,50398334,269411049,74681698,86570847,95192608,81134859,81134858,85830679,85830680,99783845,103415459,97843140,83981215,70453304,70453303,81068801,70453296,57758232,46407466,36545920,28077797,20905308,20905309,28077800,36545925,46407475,57758245,67587129,67587130,81054671,74681706,61888631,50398336,50398335,61888628,74681702,84854244,88308691,81054664,77233864,64089384,52241889,41904676,268485833,18673675,13281738,9065899,9065897,12994728,15042282,15042281,20951042,28128946,32976026,25253193,20951693,15042891,15042892,20951694,28129577,32413892,24788856,24788857,32413895,36614850,28141138,20962951,15053343,15053342,20962948,28141132,36614838,36614854,30779144,23354888,17087070,11999706,268102729,30779132,39380891,49308689,59049724,59049723,48362078,48362079,49174022,39248868,38460596,37726551,29166554,21857455,21857452,29166548,37726541,47648456,46359560,46359559,57708738,48095686,47648472,37726557,37726530,29166536,21857446,21857445,29166534,28996894,21712213,15669783,15669782,21712210,28996888,28996907,21712218,15669786,254745045,7171545,10847907,10935831,7235773,7235775,10935812,7235756,7235686,4561381,2743068,2743069,4561385,7235596,10935578,10935560,7235582,4561312,4561313,4561332,2743042,1589708,1589706,903743,903744,1589722,2743065,4561374,7235640,4561351,2743051,1589712,1589711,2743048,267886885,10935626,15785356,15785488,10935724,7235701,4561393,2743073,2743074,4561395,7235704,10935727,15785492,21857352,15785504,10935736,10935735,15785499,21857308,15785351,10935622,10935623,10935737,15785506,21857499,29166606,37726607,47648528,59049797,55250038,55250039,61715188,61715187,52876554,42472499,42472500,49299570,256604268,41619582,41619581,37266308,37266307,46684773,46684775,255406804,67597808,67597809,67597820,55256277,49274191,39348010,39348011,49274192,59235531,59235530,47838324,47838323,258108439,52872083,42468286,33474857,33474856,33474953,33474949,25701738,25701739,33474895,33474896,30748382,30748384,39348054,42586599,36579399,28107450,28107449,25272372,18700248,13307128,13307129,18700249,25272375,32996658,25701706,19075506,19075507,25701707,25779465,33569560,33569561,268674274,25779405,25779456,19138211,19138212,25779457,33569619,28067968,28067967,28067973,20896814,20871819,14969571,10301762,6774033,4245994,2538619,2538618,4245993,6774032,10301760,11397853,255477871,22554363,29911338,38469089,46450232,256874520,36883251,40048634,31368216,23873436,17529087,12362975,254594857,3315622,3315623,5391989,8353735,12362981,17529097,23873450,268680835,40048583,50067928,61545968,58123356,256840575,28378869,28378868,34132270,26265711,26265710,34132252,26265689,19545383,19545171,19545172,19540892,13992005,13992004,9614975,6315523,3958409,2370621,2370622,3958412,6315528,9614983,13995782,15209778,13995594,13995593,19545134,26265334,34125588,26259827,19540617,19540616,26259825,26265475,19545232,13995681,267940559,6315468,9614913,6315664,6315665,9615204,9615207,6315669,6315668,3958505,2370683,1372382,781228,442973,249509,137765,137763,249508,442971,781216,1372360,2370642,2369780,1371860,1371859,1371891,1371893,1372301,254115303,442952,781185,781280,781281,1372356,781212,442967,249505,137762,75073,40645,40646,75077,137772,249522,442998,780968,442828,442827,780966,1371907,1933882,1933881,2369831,254309929,2369541,1371707,780874,780873,1371758,2369619,3956824,2369614,1371754,780867,780868,443004,249530,249529,442829,780969,1371912,2369867,3957177,5482735,8481784,255191087,17699909,12519451,12519450,12519458,8481790,5482738,5482739,8481792,12519460,15429199,15429198,21420020,25269925,18697997,13304981,9086606,9086607,13304984,18698002,18670665,13278773,9063246,5926169,254295909,2219269,3705558,5926181,7778194,5939461,3713878,3713879,5939466,9081380,10311468,6782406,6782404,7273801,9063984,9079668,7576308,7576309,9080258,9080255,10303453,14971236,13287650,9070655,9070656,5931589,267928363,13287915,18680777,20853967,26424765,26424764,26382483,19648069,17200574,12095648,12095649,14923393,13296678,10280501,10280497,9070080,9070081,13287005,9071349,9071350,268139995,15613406,14971252,14971251,20873351,15613407,10802536,7137716,7137715,10802534,11317933,11317934,10396546,6853172,6853173,10396547,15073553,268640076,15613405,15073550,15073549,20986053,28120521,36459743,36641318,37461196,28921742,28921741,37461195,46508603,269011264,36641315,28166221,20986051,15073548,15073547,20986049,28166219,255478562,22635174,30005003,38575703,38575708,48488814,59880377,59442953,48051292,256903188,50149482,40127914,31448109,256529849,50149477,60842197,49440460,49440458,55441015,44591124,35210714,35210715,44591126,55441018,47869884,47869883,268945822,38996126,30406878,30406879,38996132,48920026,38996138,30406885,30406884,30406887,30406886,33152614,42106827,257154166,44591146,49063662,39133650,255962515,16857015,16857016,23116358,28186036,28186035,3666282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Dl.O(d2) = 257906451,81068853,70453290,57758227,46407462,36545918,28077795,28077794,36545917,46407460,57758203,57758204,67589609,67589608,81057059,256051810,95192611,83981216,70453305,67587124,61888627,50398334,269411049,74681698,86570847,95192608,81134859,81134858,85830679,85830680,99783845,103415459,97843140,83981215,70453304,70453303,81068801,70453296,57758232,46407466,36545920,28077797,20905308,20905309,28077800,36545925,46407475,57758245,67587129,67587130,81054671,74681706,61888631,50398336,50398335,61888628,74681702,84854244,88308691,81054664,77233864,64089384,52241889,41904676,268485833,18673675,13281738,9065899,9065897,12994728,15042282,15042281,20951042,28128946,32976026,25253193,20951693,15042891,15042892,20951694,28129577,32413892,24788856,24788857,32413895,36614850,28141138,20962951,15053343,15053342,20962948,28141132,36614838,36614854,30779144,23354888,17087070,11999706,268102729,30779132,39380891,49308689,59049724,59049723,48362078,48362079,49174022,39248868,38460596,37726551,29166554,21857455,21857452,29166548,37726541,47648456,46359560,46359559,57708738,48095686,47648472,37726557,37726530,29166536,21857446,21857445,29166534,28996894,21712213,15669783,15669782,21712210,28996888,28996907,21712218,15669786,254745045,7171545,10847907,10935831,7235773,7235775,10935812,7235756,7235686,4561381,2743068,2743069,4561385,7235596,10935578,10935560,7235582,4561312,4561313,4561332,2743042,1589708,1589706,903743,903744,1589722,2743065,4561374,7235640,4561351,2743051,1589712,1589711,2743048,267886885,10935626,15785356,15785488,10935724,7235701,4561393,2743073,2743074,4561395,7235704,10935727,15785492,21857352,15785504,10935736,10935735,15785499,21857308,15785351,10935622,10935623,10935737,15785506,21857499,29166606,37726607,47648528,59049797,55250038,55250039,61715188,61715187,52876554,42472499,42472500,49299570,256604268,41619582,41619581,37266308,37266307,46684773,46684775,255406804,67597808,67597809,67597820,55256277,49274191,39348010,39348011,49274192,59235531,59235530,47838324,47838323,258108439,52872083,42468286,33474857,33474856,33474953,33474949,25701738,25701739,33474895,33474896,30748382,30748384,39348054,42586599,36579399,28107450,28107449,25272372,18700248,13307128,13307129,18700249,25272375,32996658,25701706,19075506,19075507,25701707,25779465,33569560,33569561,268674274,25779405,25779456,19138211,19138212,25779457,33569619,28067968,28067967,28067973,20896814,20871819,14969571,10301762,6774033,4245994,2538619,2538618,4245993,6774032,10301760,11397853,255477871,22554363,29911338,38469089,46450232,256874520,36883251,40048634,31368216,23873436,17529087,12362975,254594857,3315622,3315623,5391989,8353735,12362981,17529097,23873450,268680835,40048583,50067928,61545968,58123356,256840575,28378869,28378868,34132270,26265711,26265710,34132252,26265689,19545383,19545171,19545172,19540892,13992005,13992004,9614975,6315523,3958409,2370621,2370622,3958412,6315528,9614983,13995782,15209778,13995594,13995593,19545134,26265334,34125588,26259827,19540617,19540616,26259825,26265475,19545232,13995681,267940559,6315468,9614913,6315664,6315665,9615204,9615207,6315669,6315668,3958505,2370683,1372382,781228,442973,249509,137765,137763,249508,442971,781216,1372360,2370642,2369780,1371860,1371859,1371891,1371893,1372301,254115303,442952,781185,781280,781281,1372356,781212,442967,249505,137762,75073,40645,40646,75077,137772,249522,442998,780968,442828,442827,780966,1371907,1933882,1933881,2369831,254309929,2369541,1371707,780874,780873,1371758,2369619,3956824,2369614,1371754,780867,780868,443004,249530,249529,442829,780969,1371912,2369867,3957177,5482735,8481784,255191087,17699909,12519451,12519450,12519458,8481790,5482738,5482739,8481792,12519460,15429199,15429198,21420020,25269925,18697997,13304981,9086606,9086607,13304984,18698002,18670665,13278773,9063246,5926169,254295909,2219269,3705558,5926181,7778194,5939461,3713878,3713879,5939466,9081380,10311468,6782406,6782404,7273801,9063984,9079668,7576308,7576309,9080258,9080255,10303453,14971236,13287650,9070655,9070656,5931589,267928363,13287915,18680777,20853967,26424765,26424764,26382483,19648069,17200574,12095648,12095649,14923393,13296678,10280501,10280497,9070080,9070081,13287005,9071349,9071350,268139995,15613406,14971252,14971251,20873351,15613407,10802536,7137716,7137715,10802534,11317933,11317934,10396546,6853172,6853173,10396547,15073553,268640076,15613405,15073550,15073549,20986053,28120521,36459743,36641318,37461196,28921742,28921741,37461195,46508603,269011264,36641315,28166221,20986051,15073548,15073547,20986049,28166219,255478562,22635174,30005003,38575703,38575708,48488814,59880377,59442953,48051292,256903188,50149482,40127914,31448109,256529849,50149477,60842197,49440460,49440458,55441015,44591124,35210714,35210715,44591126,55441018,47869884,47869883,268945822,38996126,30406878,30406879,38996132,48920026,38996138,30406885,30406884,30406887,30406886,33152614,42106827,257154166,44591146,49063662,39133650,255962515,16857015,16857016,23116358,28186036,28186035,36662827,46530206,57885695,257738306,42106812,33152598,256640385,255418015,10809790,10809788,10809789,15623331,21659254,22820393,22056937,15953133,11071324,7341129,7341130,255072251,22056946,29387102,37951821,40063693,37951802,29387091,29387083,22075304,15969765,15969764,255884831,37969931,47888293,59284736,256999218,48324861,48324862,59711977,60147335,72417454,59682681,59682680,72417446,59682673,48296336,256410981,22445827,22445828,22445845,16276525,11317951,7515038,4750749,2863206,2863205,4750747,7515032,11317940,16276511,22445830,26895384,20013856,20013855,20013818,20013816,26895333,34974567,44352089,37811636,37811635,37811599,29246879,21926604,255872733,19658345,14090923,9691836,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052142,22177848,29520328,31724049,24217033,24217034,26630079,29946815,268233746,11417535,7588198,7588197,11417531,16401264,22583765,29946813,255119238,11614636,11614635,16646734,22875055,26387395,19652915,14086770,9689298,9689297,14086765,19652913,26387389,26630044,26630045,30170899,22782242,16566702,11548187,11548127,11548126,10726123,7086790,7086792,8088408,12030399,12029413,8087221,8087220,8088792,8088794,12031981,12028397,12028398,16430680,16430681,22202308,22202307,25575753,26395603,22782928,16567277,11548550,7683155,4861355,4861360,7683172,11548581,12028248,8086492,5181141,5181140,8086486,6733055,4218350,4218349,5181095,6733006,6732930,4218278,2522002,1453345,1453346,2522006,4218286,6732942,4452305,2674745,1549356,880807,880804,1549348,2674731,4452284,4452318,4452198,4452197,7071456,10703519,15478188,19665281,19665556,22582137,22582138,16916168,255148341,8088015,5181977,5181978,254826517,12027919,8086272,8086271,12027917,17116015,23387781,19654148,14087712,14087713,19654149,26388525,34265506,38756588,38756587,36460485,28001694,20836887,255783935,29246920,30819045,30819046,28882115,28882114,30819042,29329355,21998990,15899592,15899593,14937599,10273372,10273373,7645140,4836725,2914489,2914488,4836722,7645138,11494546,16497575,20836126,14937221,14937220,11332902,11332903,10273341,6751403,4230516,2529462,1457696,825309,466054,466055,825312,1457702,825325,825324,1457727,2529512,4230579,6751503,10273511,14937804,20836709,14937623,10273392,6751443,4230541,4230540,254704597,14937041,12855549,8741978,7297498,7297499,10273349,14937449,10273251,6751342,6751343,254997411,11332916,11332915,16289513,11332888,7530705,4763770,4763769,4763825,2871756,1666696,1666695,2871755,4763823,4763816,4763815,7530755,7645104,11332941,15498872,15498871,19824568,14200738,9761855,6418308,6418307,7645112,4836709,2914482,254362003,2914475,1979281,1130142,1130144,1979285,3365177,5470567,8464832,12496845,17669337,16289590,11494578,7645169,4836746,2914502,2914501,4836743,2914507,1690678,1690679,2914509,4836762,7645162,8463290,7377845,4661005,4661006,7377848,8465835,5471736,3366452,1980473,1980474,3366454,5471312,3366062,3366061,5471309,8465482,5473139,5473138,8467266,8463266,5468999,3363557,1977786,1977785,3363555,3366067,5471321,8465494,8465856,5471708,5471709,8303361,5357414,5357415,8303363,254603353,3366017,254187793,634158,351935,351936,634161,1130788,1980175,3076849,4317905,2582446,1487834,841845,841846,1487837,1020033,1020031,1788926,3068635,3087749,2799890,1788881,1020007,1020008,1623755,254234767,4646979,4502647,4502648,7150037,4502644,4502643,7150030,7150031,7150034,10818853,255418947,27026918,22110276,15998474,254765088,7356160,4646799,4646800,254523582,7358667,11095654,15982803,17060832,11968925,11968923,17060595,11968631,8012076,8012075,5100713,254255349,1033228,1033227,1809011,3096072,5100710,8012183,5100821,5100820,8012358,11968947,17060845,23326622,17060682,11968822,11968602,10493563,10493564,15212530,16076020,11163241,11163243,16076024,255888902,30748327,28389865,255076456,17060700,17060699,17060673,17060674,23326648,21170976,21170977,23326654,23326645,17060672,17060671,23326644,30748161,39347832,39347956,30748297,23326816,23326799,23326800,30748276,39347935,46764856,36886664,30748280,23326803,23326801,30748278,30748171,23326657,23326519,255813445,15212452,10493517,6919543,4347033,2603475,1502414,1502413,2603474,4347031,6919538,10493510,15212440,21170905,21170830,15212385,15212386,21170835,23245566,28389806,30747819,38173342,29606525,29606524,38173339,46764814,269774059,70846870,58132557,58132556,70846869,255453458,53926293,268083396,37837714,47760235,51666606,255621104,58748520,63644693,51851819,41564578,32671197,32671196,29205443,255453340,40087416,31407276,31407275,40087414,256386814,23916556,31407273,256341877,28916065,34573323,26586593,19782396,19782395,26586591,34573319,43844775,47361606,37455449,28916071,21641710,256341879,47361600,52465062,42112491,42112492,40057409,38840982,38840983,258034280,47422847,268620199,28971661,37515083,40057413,40057412,44350795,34973459,26894423,26894422,34973458,44350794,55201254,48964766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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052980, s2 = 9659961, dlinesl.size( ) = 2 s1 = 14052980, s2 = 9659961, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14052980, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 8172529, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8084431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9806929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9073038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9073038, s2 = 972954, int(edited[s2]) = 0 s1 = 9073038, s2 = 972954, d1 = 14, d2 = 9 Dl.O(d1) = 16884479,15790273,15790274,21863140,29173182,37733854,47655606,269072236,259961235,259842528,150163003,145718277,132475552,118638956,104457663,258986585,63432026,257158319,32573436,32573434,30937535,30937534,30989776,39644352,32575732,32575728,41441558,51690071,51690068,52033216,52033219,63852272,73783460,61012894,61012891,73783537,87401621,96011583,81966227,81966225,87507973,97670878,111592196,125391757,125391758,257557228,76196713,63186170,63186168,67296811,63039686,63039684,55192540,44342156,34964891,34964890,256245508,24494035,24494037,32062974,39586510,30954676,23503459,23503457,23509225,23509230,30965689,39559675,39599816,34757576,34757574,39605079,39605081,49578091,51858566,63653008,51870048,51870049,61329913,61329914,52923335,42513598,33514122,25734918,19102206,19102205,25734915,256666021,24009453,24009452,29415608,37978562,255216562,13365381,13365380,18769038,15451849,13353018,254216040,254297879,2235698,3734126,5971125,7283909,5977368,3738001,3738002,3850479,2306956,1338598,1338599,1338613,1338614,2306995,3850550,6154061,254889033,13368521,13368520,18772537,15872650,11001598,7282734,7282733,9394135,6154400,254120008,3737632,4592412,2762953,1601678,254232277,4592416,5663218,8700429,267917362,19201429,25858890,21327090,15355311,15355310,21327089,21002233,17946010,12716557,12716556,12702068,255206341,13918299,13918298,254550034,33988509,43047207,254126670,28596685,37104597,46989278,41827975,41827976,51182508,51182506,51935295,63745886,62832592,51182514,51182515,62832593,255663456,63745882,51935293,41631892,41631891,36601885,36601884,37529575,28985163,28985164,32775781,268734793,255948414,18098224,12832034,8725313,5679896,3532923,3532925,2102746,1210708,682799,380478,208986,120891,120889,111895,61338,35474,35473,64376,64522,64520,117907,267741141,1194580,2078322,3497480,5628693,8653652,12734772,17969963,16163119,16163121,256398967,25752833,255278887,6120969,3829647,2294401,1331211,254114215,432296,760148 Dl.O(d2) = 15135490,21070875,28274183,28274233,36768705,36768706,28274177,21070870,21070871,28274133,28274123,28274122,36769314,36769298,28274113,21070834,21070835,28274117,28273546,21070353,15135071,10438683,6881480,6881479,10438677,15135064,21070348,28273538,36768752,46653429,58025510,46653957,36769343,28274148,28274147,36769338,36769377,28274202,28274201,36769395,46653969,36769357,28274164,21070863,15135477,10438931,10438932,255378535,28274169,36769366,36768703,36768704,46653363,58025455,58025475,58025463,46653368,46653367,58025458,46653921,46653920,46653397,36769300,36769302,32195624,32195625,257133339,46653405,36768760,28273544,28273543,28273613,28273614,36768824,46653492,53205076,42755709,33726220,33726221,36769336,46653953,257412605,43281330,43281331,46653963,46653964,46653421,36769352,28274160,28274159,36769294,36769293,46653916,46653457,36768787,28273577,28273578,36768791,46653377,36768715,28273514,21070327,15135055,15135056,21070329,28273519,36768727,46653400,36768742,28273529,21070335,21070334,28273526,36768738,46653408,46653484,36768822,36768821,46653490,257235879,33726223,25919543,19257691,13761920,13761921,19257697,25919552,33726235,42755735,53205112,58025949,70739294,70739293,70739582,58025944,51343384,51343385,63024107,65190367,65190362,58279245,58279247,65190381,58025474,46653373,46653372,58025469,70739277,58025480,46653386,36768720,36768721,46653392,46653413,46653383,36768718,36768717,46653381,269771531,65190297,70739576,70739333,70739331,65190337,53205071,53205072,65190338,257235885,33726238,25919555,25919556,33726240,42755742,53205126,61246323,61246324,65190321,70739290,59345137,47953824,38040280,38040281,38040287,38040286,47953835,59345148,58279250,46913857,256310184,58025432,58025430,65190363,58279228,58279229,65190411,53205143,42755750,38101816,29538219,29538218,38101812,48012404,59399979,64800820,64800821,53205051,42755687,33726206,268307425,268032001,9431463,13761917,19257689,25919539,256678405,53205065,65190325,78474370,92513951,106825513,259986788,78470565,65186511,65186510,65190330,58025435,46653343,46653346,58025440,58279212,46913829,46913830,58279214,65190408,53205138,53205139,53708334,65765213,77995123,77995122,72130499,59399973,52881447,52881448,58025408,257235875,33726197,25919535,25919534,33726195,42755671,53205034,65190288,70994047,58279240,58279239,70994046,65196542,65196543,78480889,75698490,62751388,62751390,70739248,84290625,92510249,92510248,92510245,84290640,70739264,58025447,46653350,36768684,28273482,21070299,21070297,28273474,36768674,46653333,42791029,42791028,34110426,34110427,43196667,53708338,52881471,42477545,33483891,33483883,33483884,42477531,36768663,36768662,46653323,42755664,33726192,33726193,42755666,53205030,65190279,65230661,78470551,76892877,76892878,65200575,53214779,53214778,62749954,62749955,72079018,73045804,84290622,70739244,58025411,48910867,38988962,38988963,48910871,51957098,41650270,32740835,28273468,28273470,36768667,41420899,51662830,63406231,65765224,65190290,53205037,256903886,42477561,33483900,25710261,19083136,19083135,25710256,33483889,42477541,52881465,42774162,42774161,53224784,65212493,65186500,65186501,65765220,53708342,51662825,51662826,257630164,65186499,60271975,48880213,48880216,60271977,65765216,73045814,60306756,48910872,38988970,30401043,22996801,22996800,30401038,38988960,43196678,40979025,32199044,32199043,37744183,37744181,47666087,40429656,31735464,268394404,50467577,61963381,74763588,256072206,51116907,40974693,32199081,24610700,18161999,18162001,24610706,268707657,43196664,34110424,34110423,42752405,33723076,32199415,32199416,40979383,51121548,51121535,51121529,40979360,33112331,25377071,25377069,25377068,22975368,22975369,255432680,42791050,40979051,38961634,33734921,255432682,24610974,32197723,34110415,26246473,19529129,19529130,26246477,34110420,37745574,47667456,40979376,32199409,32194703,24606278,24606277,30376649,22975640,16739131,16739129,22975636,30376896,24611023,18162300,18162299,19254251,13758315,13758314,18162286,18162302,24611024,32199392,32199393,33112333,25377075,18792157,13385325,13385326,16738905,16738904,22975373,24611009,24611006,18794966,255659915,256638305,40976958,40976961,43196657,256362066,32197671,25936877,19274212,13777346,11695198,7800232,4946470,4946471,7800234,11695201,12877030,18158808,13977139,9599115,6303014,5703316,5703317,8759745,12880012,18162258,24610987,255081584,12877650,8757955,8757351,5701681,3547855,3547852,5701679,8757348,12876903,13387407,9427654,9427656,13757926,267931978,6245988,9441012,6188925,3873236,254455191,9441016,13771310,13387569,9151741,9151743,13387571,12916145,12916140,13979989,9706173,9151612,5989110,5989112,9151622,13387413,12876917,254627082,2112728,1217347,687530,383775,211341,211340,383773,687527,1217343,1217444,1217445,1217458,687604,383813,383814,383792,383793,687568,1217406,2112839,1345369,1345371,2320714,3875346,6192172,9445598,12880097,12876913,8757362,5701686,5701685,8757359,12876909,12877464,8757811,8757809,5704666,5704664,8757731,267853019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9073038, s2 = 972954, dlinesl.size( ) = 12 s1 = 9681681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8056077, s2 = 8077307, int(edited[s2]) = 0 s1 = 8056077, s2 = 8077307, d1 = 1, d2 = 1 Dl.O(d1) = 4496529,2701774,254160989,890083,1565437,2701783,4496555,7141452,10807742,15620462,16700994,11661580,7772865,4925672,2970876,2970877,4925677,7772874,7261010,7261009,10969754,11661718,16701217,22936207,30337188,30336772,22935909,21656141,15621079,10808154,10808156,15621084,21656148,28933866,26609853,26609855,21655357,16701167,16701166,22936119,30337040,30337167,30337168,23352835,17085317,17085318,23352837,30776649,39378169,47381808,37474437,28932902,21655322,15620454,10807732,10807730,15620451,21655317,21911473,16700964,11661562,7772852,4925662,4925663,7772856,11661567,16700977,21911484,22936191,22936192,30336785,22935921,16701010,11661589,11661588,16701005,21656135,21656136,28933855,29227583,29227584,37789565,37789571,43867318,47381903,38923329,38923330,268652877,30337171,29227605,29227604,37789589,47710583,39378164,39378165,49305865,58769013,47710577,37789585,37789584,38923602,30337260,29227597,21911481,15829411,10969748,10969747,15829407,21911472,29227587,37789573,30336712,22935880,22935881,30336715,23602758,23602757,31086949,38922903,30336762,30336761,30336774,30336773,30336789,38923053,37789563,37789562,47710544,48843487,38923047,38923048,48843490,54610087,60237931,258076048,38923044,38923039,30336778,30336779,30336720,30336719,38922973,37789581,37789580,47710568,47710564,37789578,29227593,21911477,21911478,29227581,37789557,37789568,47710550,47710555,38922960,30336707,30336706,38922956,39765298,49784853,59108597,49784846,49784847,61263957,74043961,72974456,60237681,48843493,48843494,59108569,59108568,60237677,48843485,40518097,40518096,50554435,60575125,49176289,256995474,256995159,38923035,38922967,38922968,48843425,59108593,71847272,71847270,59108583,47710560,47710561,49784854,49784855,61263968,74043966,71847265,59108578,59108577,71847262,85070543,72974391,60237612,60237613,72974392,61263936,49784829,49784830,61263938,49784850,48843429,48843428,60237622,72974407,61294195,61294196,72974695,86572449,72974881,72974386,72104448,59371784,59371783,256943822,61294197,72974376,60237594,48843395,38922937,38922936,257575585,71498506,71498505,61263975,49784862,39765303,39765302,49784860,61263974,74043971,71847256,59108574,59108575,71847257,85433050,71847268,71847267,71498512,58769070,47381879,37474483,37474481,257465375,71498502,85070606,271312265,86572155,72974359,60237586,60237587,72974362,60237609,48843406,38922951,30336701,22935877,16700972,16700971,22935874,30336697,38922942,31086947,23602755,17290126,12169192,8201193,8201194,12169195,17290128,23602760,31086955,39765306,47388699,47388698,58775855,71505143,85077111,86572589,86572593,72974888,72974889,71498529,58769081,47381889,37474489,28932944,28932943,37474485,47381883,58769074,71498517,59918269,49784827,39765276,39765275,49784812,39765265,39765266,49784814,48843384,257575581,72974346,86572142,100533017,87007897,87007898,101001563,115072898,115072903,101001581,101001582,115072905,115655093,101614139,87647242,255528964,67798161,67798162,81266035,73392476,73392475,87007916,101001589,269843948,85070551,71498449,71498448,85070546,98996191,112985901,126839951,115072912,101001596,87007924,87007925,86572134,73212787,73212786,86825538,100806721,258704554,257470324,256348312,255421470,23436939,23436937,30865860,39469599,49398079,60798789,60237565,258183719,86572120,90056818,90056819,257549976,72974428,66868080,257465380,60645819,49245263,256477517,268243749,255528963,30720081,39318368,49245260,51520349,51520350,63233494,76248476,87706618,258782832,259326341,99985239,259945862,72974337,60237566,48843375,38923614,38923613,257575619,72974867,258158984,74043937,74043936,74446499,88058757,87164343,74446506,61662148,61662149,74446509,88058762,98996340,98919118,84994366,71421109,58687952,47297048,37387715,37387714,47297044,48843729,257510282,60237899,60237898,60645804,49245250,49245249,60645802,72426370,59690801,59690800,60238128,72426356,59690787,59690788,72426358,86023893,72974711,60238111,48844006,38923623,30337272,30337270,38923617,48844002,60238109,71498654,60238120,60238121,270300461,72426367,59690794,59690793,72426365,85124211,85070725,72974370,60645809,60645807,71505117,58775824,47388676,47388677,58775826,58769819,48843725,48843726,58775857,58775856,58775888,47388736,47388737,48303965,38393564,38393566,48303969,38923639,38393555,38393554,48303948,59690791,72426362,256907852,38923626,30337275,22936273,22936274,30337281,38923636,48303982,38923293,38923292,47382103,58769256,59690811,48303975,38393568,38393557,38393558,48303951,257575588,71498658,58769260,58769261,58769268,47382115,47382112,37481086,37481087,28939151,21660311,21660309,28939149,37481134,47388704,38923287,268962775,48844022,38923644,30337286,22936278,22936277,30337285,38923641,48844020,60238133,72974876,60238125,60237911,48843738,38923310,38923299,30337007,30337008,38923304,38923297,30337004,30337005,37474732,38923358,38393561,29821224,22453852,16284798,16284799,22453855,29821231,38393572,48303984,47382110,37474737,28933163,28933164,37474740,28939103,21660280,15624153,15624151,15624176,21660317,21660294,21660295,28939121,37474357,37474721,30337294,22936288,16701283,11661750,11661749,16701280,22936282,21655259,21655260,28932839,37474371,38923313,30337022,30337016,30337017,30336814,22935944,22935945,30336816,30337012,30337010,30337059,30337060,268406721,16284808,11326282,11326281,16284802,22453860,29821238,38393582,37481124,28939143,21660307,21655523,15620589,10807823,7141496,7141495,7143316,4497771,4497769,7143311,10810400,15624170,21660302,28933147,28933148,22936270,16701275,11661745,11661742,16701263,22936253,28248703,28248702,32086480,24512765,24512766,24512764,19125797,15121455,15121456,21051977,28252487,29760853,29760852,22524151,16351085,16351083,22399144,28100306,36571690,38330068,29759798,22398305,22398310,29759806,255781789,10253376,10253374,10253348,6737296,6737297,10253350,14911750,20806672,21048352,15118782,15118781,21048351,21000846,21000845,18081453,12819069,12819070,18081458,24510790,28250785,24514257,24514258,32087726,37539211,268397456,24511605,28252723,21053909,21053908,28254606,36749815,46527665,57883560,46639377,36753060,32083483,32083484,40855358,36428353,32084150,32084151,256406607,22399705,20806693,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24510582,268270376,49730844 Dl.O(d2) = 4496529,2701774,254160989,890083,1565437,2701783,4496555,7141452,10807742,15620462,16700994,11661580,7772865,4925672,2970876,2970877,4925677,7772874,7261010,7261009,10969754,11661718,16701217,22936207,30337188,30336772,22935909,21656141,15621079,10808154,10808156,15621084,21656148,28933866,26609853,26609855,21655357,16701167,16701166,22936119,30337040,30337167,30337168,23352835,17085317,17085318,23352837,30776649,39378169,47381808,37474437,28932902,21655322,15620454,10807732,10807730,15620451,21655317,21911473,16700964,11661562,7772852,4925662,4925663,7772856,11661567,16700977,21911484,22936191,22936192,30336785,22935921,16701010,11661589,11661588,16701005,21656135,21656136,28933855,29227583,29227584,37789565,37789571,43867318,47381903,38923329,38923330,268652877,30337171,29227605,29227604,37789589,47710583,39378164,39378165,49305865,58769013,47710577,37789585,37789584,38923602,30337260,29227597,21911481,15829411,10969748,10969747,15829407,21911472,29227587,37789573,30336712,22935880,22935881,30336715,23602758,23602757,31086949,38922903,30336762,30336761,30336774,30336773,30336789,38923053,37789563,37789562,47710544,48843487,38923047,38923048,48843490,54610087,60237931,258076048,38923044,38923039,30336778,30336779,30336720,30336719,38922973,37789581,37789580,47710568,47710564,37789578,29227593,21911477,21911478,29227581,37789557,37789568,47710550,47710555,38922960,30336707,30336706,38922956,39765298,49784853,59108597,49784846,49784847,61263957,74043961,72974456,60237681,48843493,48843494,59108569,59108568,60237677,48843485,40518097,40518096,50554435,60575125,49176289,256995474,256995159,38923035,38922967,38922968,48843425,59108593,71847272,71847270,59108583,47710560,47710561,49784854,49784855,61263968,74043966,71847265,59108578,59108577,71847262,85070543,72974391,60237612,60237613,72974392,61263936,49784829,49784830,61263938,49784850,48843429,48843428,60237622,72974407,61294195,61294196,72974695,86572449,72974881,72974386,72104448,59371784,59371783,256943822,61294197,72974376,60237594,48843395,38922937,38922936,257575585,71498506,71498505,61263975,49784862,39765303,39765302,49784860,61263974,74043971,71847256,59108574,59108575,71847257,85433050,71847268,71847267,71498512,58769070,47381879,37474483,37474481,257465375,71498502,85070606,271312265,86572155,72974359,60237586,60237587,72974362,60237609,48843406,38922951,30336701,22935877,16700972,16700971,22935874,30336697,38922942,31086947,23602755,17290126,12169192,8201193,8201194,12169195,17290128,23602760,31086955,39765306,47388699,47388698,58775855,71505143,85077111,86572589,86572593,72974888,72974889,71498529,58769081,47381889,37474489,28932944,28932943,37474485,47381883,58769074,71498517,59918269,49784827,39765276,39765275,49784812,39765265,39765266,49784814,48843384,257575581,72974346,86572142,100533017,87007897,87007898,101001563,115072898,115072903,101001581,101001582,115072905,115655093,101614139,87647242,255528964,67798161,67798162,81266035,73392476,73392475,87007916,101001589,269843948,85070551,71498449,71498448,85070546,98996191,112985901,126839951,115072912,101001596,87007924,87007925,86572134,73212787,73212786,86825538,100806721,258704554,257470324,256348312,255421470,23436939,23436937,30865860,39469599,49398079,60798789,60237565,258183719,86572120,90056818,90056819,257549976,72974428,66868080,257465380,60645819,49245263,256477517,268243749,255528963,30720081,39318368,49245260,51520349,51520350,63233494,76248476,87706618,258782832,259326341,99985239,259945862,72974337,60237566,48843375,38923614,38923613,257575619,72974867,258158984,74043937,74043936,74446499,88058757,87164343,74446506,61662148,61662149,74446509,88058762,98996340,98919118,84994366,71421109,58687952,47297048,37387715,37387714,47297044,48843729,257510282,60237899,60237898,60645804,49245250,49245249,60645802,72426370,59690801,59690800,60238128,72426356,59690787,59690788,72426358,86023893,72974711,60238111,48844006,38923623,30337272,30337270,38923617,48844002,60238109,71498654,60238120,60238121,270300461,72426367,59690794,59690793,72426365,85124211,85070725,72974370,60645809,60645807,71505117,58775824,47388676,47388677,58775826,58769819,48843725,48843726,58775857,58775856,58775888,47388736,47388737,48303965,38393564,38393566,48303969,38923639,38393555,38393554,48303948,59690791,72426362,256907852,38923626,30337275,22936273,22936274,30337281,38923636,48303982,38923293,38923292,47382103,58769256,59690811,48303975,38393568,38393557,38393558,48303951,257575588,71498658,58769260,58769261,58769268,47382115,47382112,37481086,37481087,28939151,21660311,21660309,28939149,37481134,47388704,38923287,268962775,48844022,38923644,30337286,22936278,22936277,30337285,38923641,48844020,60238133,72974876,60238125,60237911,48843738,38923310,38923299,30337007,30337008,38923304,38923297,30337004,30337005,37474732,38923358,38393561,29821224,22453852,16284798,16284799,22453855,29821231,38393572,48303984,47382110,37474737,28933163,28933164,37474740,28939103,21660280,15624153,15624151,15624176,21660317,21660294,21660295,28939121,37474357,37474721,30337294,22936288,16701283,11661750,11661749,16701280,22936282,21655259,21655260,28932839,37474371,38923313,30337022,30337016,30337017,30336814,22935944,22935945,30336816,30337012,30337010,30337059,30337060,268406721,16284808,11326282,11326281,16284802,22453860,29821238,38393582,37481124,28939143,21660307,21655523,15620589,10807823,7141496,7141495,7143316,4497771,4497769,7143311,10810400,15624170,21660302,28933147,28933148,22936270,16701275,11661745,11661742,16701263,22936253,28248703,28248702,32086480,24512765,24512766,24512764,19125797,15121455,15121456,21051977,28252487,29760853,29760852,22524151,16351085,16351083,22399144,28100306,36571690,38330068,29759798,22398305,22398310,29759806,255781789,10253376,10253374,10253348,6737296,6737297,10253350,14911750,20806672,21048352,15118782,15118781,21048351,21000846,21000845,18081453,12819069,12819070,18081458,24510790,28250785,24514257,24514258,32087726,37539211,268397456,24511605,28252723,21053909,21053908,28254606,36749815,46527665,57883560,46639377,36753060,32083483,32083484,40855358,36428353,32084150,32084151,256406607,22399705,20806693,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24510582,268270376,49730844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8056077, s2 = 8077307, dlinesl.size( ) = 2 s1 = 8056077, s2 = 8077307, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8056077, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 8077306, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9092040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9092040, s2 = 9350092, int(edited[s2]) = 0 s1 = 9092040, s2 = 9350092, d1 = 1, d2 = 1 Dl.O(d1) = 16484279,22682743,22682744,30059630,33635095,33635094,38633394,38633395,48547699,59939813,59700738,48313868,48313869,59700742,51192085,41035961,41035962,48547480,41767043,41767044,41769178,32848347,25142169,25142170,32848350,41769182,52083218,42381121,42381122,52779730,59596748,59939453,59939452,72678880,59939490,258160885,86278570,92447331,78411662,78411663,92447333,100243087,86278552,72678857,72331997,59596757,48209635,48209634,59596753,59700724,72436598,59939857,59939855,72679156,86034630,86034629,94413263,80359388,66933457,59651369,59651370,71379064,84954397,98879849,259089609,258845616,100445206,114469527,128346257,114469521,100445201,86488093,72893055,72893054,259425237,114469518,121736777,107355504,258460072,73125960,73125959,60385772,48988187,48988188,60385774,73125996,75629189,62684186,62684184,66933451,80359381,71209234,58487493,47109394,37212517,28687990,21437674,15442770,15442771,21437670,256326739,37212589,257447007,58487358,47109231,47109232,58487360,62684281,257615418,71209294,71209293,75629231,62684229,51053503,51053502,269440927,40911639,32133817,24552798,24552797,32133815,257128887,62684305,62684309,75629308,84777955,257615408,60811837,60350784,48954026,48954025,60350781,64421896,52547846,42189032,42189031,52547844,257508510,33228747,33228746,42189028,52547840,51053547,51053546,62684284,75629286,258440696,59326624,59326625,72060884,85647911,99597756,113612866,110041790,258925672,98706064,98991309,85064974,71492243,58761920,58761921,55796960,47109187,37212340,28687857,21437603,21437604,28687859,37212347,47109201,58487323,58487290,58487288,48500201,48500199,59894209,72636368,86239013,100207166,100207165,99387870,85446889,85446888,99387871,99387891,257823656,85435110,71849554,59111367,47713846,37793166,29231040,21914272,255062531,10971097,254755035,4579796,4579797,4579794,2755392,1597290,254231737,4579788,7261892,10970996,10970995,15831350,15831412,21911588,15829488,15829489,17710265,24065889,29230987,21914210,255062519,7261821,7261820,10971037,15831409,15831404,254755009,7261816,268079645,21914205,29230975,21914200,15831484,10971095,10971096,10971163,7261911,4579801,2755395,1597291,1597292,2755396,1597295,254231741,4579811,7261931,6023583,3768413,3768414,6023586,9200194,13453111,18878349,21914074,15831297,10971020,255062515,21914194,29230969,29230959,29230750,21914007,21914008,256366281,256366289,256366279,29230749,29230935,21914163,15831370,10971007,7261798,4579723,2755345,2755346,4579725,7261800,10971008,15831374,21914168,21914375,21914225,15831433,15831283,10970957,7261775,4579709,4579710,7261777,10970962,15831294,21914067,256366287,29230928,29231126,29231127,37793254,37793095,29230924,21914151,15831354,10970998,10971000,15831358,21914033,15831262,15831261,21914035,29230779,37792944,37793124,29230965,21914193,15831392,10971019,10971016,15831390,21914188,21914167,15831569,10971158,268079649,21914367,29231131,37793211,37792965,256908137,269085016,47713630,37792913,29230741,29230740,29230954,21914185,15831384,15831383,21914182,15831571,15831570,21914368,29230961,29230960,29230782,29230783,268934647,37792970,29230802,29230801,21914078,21913979,254865310,10970971,10970970,15831309,255669784,255871545,37792974,29230809,29230810,29231100,29231099,37793218,37792906,256539724,29230933,256366299,37761883,29200474,29200475,29230963,29230833,21914089,21914088,26607382,19799977,14182512,14182510,19799971,26607373,34594672,34594679,43854554,34583248,34583247,37792997,256094836,47345124,37792999,37792998,29231101,256033474,19799964,26607363,34594657,256857306,256692691,53514578,65538748,78873909,260340057,261503655,148959400,161264348,172463538,263399279,173959417,163044152,272489863,124785024,259838065,82805669,69282834,56716737,45573890,45573889,56716733,56716732,69282830,82805664,259838061,110827389,124785017,138261156,151076939,263452129,261674850,261124866,259946746,259327776,99017952,87969286,74367227,61590813,50110797,40090240,257074169,55721436,44814927,35390163,256632766,254697915,4133403,2472609,1429301,1429303,2472611,4133406,6597709,10039435,13170165,13170162,18535371,25078577,32775913,41692824,52005000,47108364,37211629,256228178,10676176,254501181,4438620,7051735,254473996 Dl.O(d2) = 16484279,22682743,22682744,30059630,33635095,33635094,38633394,38633395,48547699,59939813,59700738,48313868,48313869,59700742,51192085,41035961,41035962,48547480,41767043,41767044,41769178,32848347,25142169,25142170,32848350,41769182,52083218,42381121,42381122,52779730,59596748,59939453,59939452,72678880,59939490,258160885,86278570,92447331,78411662,78411663,92447333,100243087,86278552,72678857,72331997,59596757,48209635,48209634,59596753,59700724,72436598,59939857,59939855,72679156,86034630,86034629,94413263,80359388,66933457,59651369,59651370,71379064,84954397,98879849,259089609,258845616,100445206,114469527,128346257,114469521,100445201,86488093,72893055,72893054,259425237,114469518,121736777,107355504,258460072,73125960,73125959,60385772,48988187,48988188,60385774,73125996,75629189,62684186,62684184,66933451,80359381,71209234,58487493,47109394,37212517,28687990,21437674,15442770,15442771,21437670,256326739,37212589,257447007,58487358,47109231,47109232,58487360,62684281,257615418,71209294,71209293,75629231,62684229,51053503,51053502,269440927,40911639,32133817,24552798,24552797,32133815,257128887,62684305,62684309,75629308,84777955,257615408,60811837,60350784,48954026,48954025,60350781,64421896,52547846,42189032,42189031,52547844,257508510,33228747,33228746,42189028,52547840,51053547,51053546,62684284,75629286,258440696,59326624,59326625,72060884,85647911,99597756,113612866,110041790,258925672,98706064,98991309,85064974,71492243,58761920,58761921,55796960,47109187,37212340,28687857,21437603,21437604,28687859,37212347,47109201,58487323,58487290,58487288,48500201,48500199,59894209,72636368,86239013,100207166,100207165,99387870,85446889,85446888,99387871,99387891,257823656,85435110,71849554,59111367,47713846,37793166,29231040,21914272,255062531,10971097,254755035,4579796,4579797,4579794,2755392,1597290,254231737,4579788,7261892,10970996,10970995,15831350,15831412,21911588,15829488,15829489,17710265,24065889,29230987,21914210,255062519,7261821,7261820,10971037,15831409,15831404,254755009,7261816,268079645,21914205,29230975,21914200,15831484,10971095,10971096,10971163,7261911,4579801,2755395,1597291,1597292,2755396,1597295,254231741,4579811,7261931,6023583,3768413,3768414,6023586,9200194,13453111,18878349,21914074,15831297,10971020,255062515,21914194,29230969,29230959,29230750,21914007,21914008,256366281,256366289,256366279,29230749,29230935,21914163,15831370,10971007,7261798,4579723,2755345,2755346,4579725,7261800,10971008,15831374,21914168,21914375,21914225,15831433,15831283,10970957,7261775,4579709,4579710,7261777,10970962,15831294,21914067,256366287,29230928,29231126,29231127,37793254,37793095,29230924,21914151,15831354,10970998,10971000,15831358,21914033,15831262,15831261,21914035,29230779,37792944,37793124,29230965,21914193,15831392,10971019,10971016,15831390,21914188,21914167,15831569,10971158,268079649,21914367,29231131,37793211,37792965,256908137,269085016,47713630,37792913,29230741,29230740,29230954,21914185,15831384,15831383,21914182,15831571,15831570,21914368,29230961,29230960,29230782,29230783,268934647,37792970,29230802,29230801,21914078,21913979,254865310,10970971,10970970,15831309,255669784,255871545,37792974,29230809,29230810,29231100,29231099,37793218,37792906,256539724,29230933,256366299,37761883,29200474,29200475,29230963,29230833,21914089,21914088,26607382,19799977,14182512,14182510,19799971,26607373,34594672,34594679,43854554,34583248,34583247,37792997,256094836,47345124,37792999,37792998,29231101,256033474,19799964,26607363,34594657,256857306,256692691,53514578,65538748,78873909,260340057,261503655,148959400,161264348,172463538,263399279,173959417,163044152,272489863,124785024,259838065,82805669,69282834,56716737,45573890,45573889,56716733,56716732,69282830,82805664,259838061,110827389,124785017,138261156,151076939,263452129,261674850,261124866,259946746,259327776,99017952,87969286,74367227,61590813,50110797,40090240,257074169,55721436,44814927,35390163,256632766,254697915,4133403,2472609,1429301,1429303,2472611,4133406,6597709,10039435,13170165,13170162,18535371,25078577,32775913,41692824,52005000,47108364,37211629,256228178,10676176,254501181,4438620,7051735,254473996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9092040, s2 = 9350092, dlinesl.size( ) = 2 s1 = 9092040, s2 = 9350092, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9092040, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6834222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6713974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8022337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13420029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13420029, s2 = 10908281, int(edited[s2]) = 0 s1 = 13420029, s2 = 10908281, d1 = 9, d2 = 7 Dl.O(d1) = 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69786,255269801,18976926,25585371,33345140,42326380,52713407,256654803,33345007,257210923,256654786,18976874,18976872,25585314,25585233,18976864,268299643,18976914,13541088,13541087,18976912,18976870,18976871,25585313,33345088,25585390,25585391,33345153,42326210,42326106,33344921,25585156,25585154,25585216,18976769,13540969,9269665,6071734,3798970,3798971,254655185,13540971,18976771,18976784,254928729,9269670,13540980,18976792,25585236,25585201,25585200,18976889,13541064,9269730,254928737,18976892,25585326,25585247,25585246,25585396,18976948,18976947,25585394,33345157,33345000,25585242,25585243,33345002,256138559,255269781,13540963,18976759,25585199,256654793,25585225,25585224,33344931,25585163,25585162,18976789,18976788,268495953,42326209,52713405,64296112,64296111,77452088,259044821,64613594,52713293,42326100,42326099,42326389,256138577,25585393,33345155,42326387,52713382,256654791,33344972,25585244,25585245,25585310,25585309,33345087,268750425,268750423,18976764,18976765,25585209,33344986,42326198,52713396,52435247,52435246,64296108,72594318 Dl.O(d2) = 55441389,67784555,59369931,55441437,44591556,35211067,35211068,44591558,55441440,67784606,81253815,258541031,67784515,55441357,55441358,67784517,67784491,55441332,44591473,35211012,35211013,44591477,38794635,30210106,30210105,38794633,48715936,60110664,270340915,260038001,100397111,86441440,72847002,72847003,67784596,67784597,81253749,67784504,55441348,44591485,35211018,35211017,44591484,55441347,44591565,35211073,27119016,20216011,20216009,27119011,35211064,44591552,55441427,67784594,81253762,81253763,259797357,100154617,86191761,81253811,81253809,86191768,72594251,72594250,86191765,95314227,81253832,81253831,72847010,72847009,72847015,72847016,86441453,100397117,109570442,95314174,95314175,100397109,92446465,78410815,78410816,72847006,72847007,86441443,95314188,81253805,81253803,95314218,81253839,67784612,55441444,44591560,35211069,256755215,35211061,35211062,44591547,55441416,67784583,81253737,67784489,67784490,81253741,91415074,91415073,105640879,271346617,259797361,81253852,67784624,258541037,95314252,109570494,123761397,109570436,270899405,74164848,61384237,55441446,55441447,67784615,269577074,109570481,101742427,101742426,115788148,129685454,143013734,150517905,137486459,123761413,118822169,118822168,109570483,109570482,109570474,109570473,95605961,81571992,259180453,105640857,105640858,119879418,119879424,105640869,91415061,88402366,74770020,74770021,88402371,102403204,116498516,258478738,105640855,91415045,77484435,64320667,52453533,269501671,64320672,77484441,91415046,77484462,64320697,52453548,42101152,33147192,25406805,25406804,33147190,42101148,52453543,64320688,77484460,84326251,84326250,98233535,112211700,118822170,104642205,90479073,76621200,258989177,104642201,102403211,259494830,61972673,50479961,50479959,61972671,74770024,88402377,258478740,109809229,109809230,119879412,105640850,91415039,77484429,77484430,81572053,87898253,74294690,74294689,87898250,91415078,91415077,105640884,91415099,77484499,64320720,52453571,52453570,64320685,64320683,77484456,91415065,105640873,105640894,118822190,259739400,105640865,105640864,104642197,90479069,90479068,101872523,115919645,119879421,133749681,145859215,132640174,118822192,104642238,90479113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13420029, s2 = 10908281, dlinesl.size( ) = 2 s1 = 13420029, s2 = 10908281, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13420029, Dl.E( ) = 12, 1.69e-05 seconds used appending s1 = 8051514, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9801713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9552412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1317566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11150716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8108684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1314210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13453561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6512101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6512101, s2 = 10990234, int(edited[s2]) = 0 s1 = 6512101, s2 = 10990234, d1 = 9, d2 = 19 Dl.O(d1) = 255414343,23586831,29877279,37876005,29307080,29307081,29880335,29880336,29351927,254233624,254520280,23452222,17175285,16316882,16305678,11345092,11345091,16305677,21569407,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966580,7825070,11722624,16768912,21297914,21297913,22028673,29351369,23886316,22473251,21979543,254248422,11011143,10418393,6868016,6868019,10418398,15105194,21030290,28226562,255543878,21030236,28226493,36720050,46608263,38143641,29577129,22229578,16095379,16045724,16045723,22169133,28315429,36811644,40188988,31504027,30779580,23355335,23355333,30779578,24115384,17754357,12562483,12562484,16305365,16305366,22475609,29842678,23363970,23363969,30789637,38236647,31258889,23774112,17444826,17444825,255094934,36800752,28303980,21094969,21094968,28303977,28300271,21091904,21091903,256296795,38488848,29928003,29928004,36798352,36800704,29576599,29576601,31620691,31620692,30768156 Dl.O(d2) = 7240446,10942208,15793495,15792752,10941748,10941749,15792757,20907096,15002082,15002083,15809981,10955857,10955858,15809988,15803611,10950628,10950627,15803605,21878992,254173776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6512101, s2 = 10990234, dlinesl.size( ) = 8 s1 = 13445577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8191830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11174254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174254, s2 = 2605518, int(edited[s2]) = 0 s1 = 11174254, s2 = 2605518, d1 = 10, d2 = 2 Dl.O(d1) = 5454143,8445308,10938215,12466251,12443389,8412962,5429227,254598713,12444588,17624820,17633172,23979946,17646451,17646450,12479580,8450391,5458528,3355987,1972964,1972963,3355986,5432253,5432252,8417225,5457594,3355292,3355293,5457598,8449369,12448556,8416846,8416847,8418209,5457538,5456450,3354536,3354535,5425860,5425865,8408432,12440054,17621468,12454045,12454046,12480938,12480937,17624135,12443599,254857593,8417706,7428416,4693966,2828237,1640945,933091,525912,294694,294695,525916,933099,1640960,2828266,4694010,7428488,11195612,7428476,4694004,2828264,1640958,933127,525934,525935,933112,525923,294699,162968,89572,49268,49269,89574,162972,294708,254123923,1641008,2828338,4694148,7428736,11196003,16117938,22257239,16117919,254719166,29606981,29314728,21986643,15890431,11015760,11015759,15890429,21986640,22257245,16117924,11195994,7428731,254770893,5443682,254600381,7120897,7120898,8417677,5432606,3339561,3339560,1968405,1124108,630501,630503,1124112,1968415,254600641,12466093,17641482,23987349,31484598,30043081,30043080,258783727,100231473,113321646,113321647,260419508,100801843,100801842,100801845,86820564,258020998,49057091,39127057,30528700,23110684,23110685,18777711,254917979,9140053,10969129,8450359,5458506,3355971,3355970,5458503,8316855,5366641,5366640,5453791,8444911,12475015,17623945,12458194,8426660,8426659,12458191,17635322,23974070,17645373,12471769,8444728,8444727,12443390,8445303,254860921,255574227,254861091,254407427,3353766,5455221,268000727,5450625,3350713,1969930,1969931,3350716,5448215,8411259,5428323,3336996,3336995,5428320,8411735,12443388,255185921,12466093,17641483,23987351,31484602,40169645,40169641,31484596,23987348,23987349,31484598,30043081,30043080,38616884,48531986,59925395,59925394,59652892,59652890,258763535,259388571,74701674,61908209,50417833,50417834,46396650,46396649,258628287,74701656,74701669,72387336,59652882,59652883,72387338,259967917,113963132,113411107,99409939,99409941,271326105,259388573,85982352,88329424,83970059,74701676,61908211,50417836,40383463,256814859,28068943,20897703,20897704,28068945,256814861,57747451,59146176,47747468,47747470,59146178,71884314,61908194,269801225,47747435,256368877,29260010,37825275,47747438,59146145,258724643,70442630,57747440,46396644,36535753,36535754,46396646,57747446,70442636,71884320,85469005,258724647,59146167,47747453,47747452,59146165,61908206,61908204,258206351,49194394,49194393,60595062,73339822,71884321,258724649,59146174,47747467,37825295,29260027,29260026,268935331,37825269,29260005,21938870,21938871,29260008,29260016,21938894,255064077,10985367,15850835,15850831,15850832,21938891,29260048,37825316,47747430,47747429,59146137,59146181,47747480,37825304,29260039,21938887,21938886,29260036,256473501,30672051,39268239,49194425,60595094,73339833,270358923,61295654,60595072,49194402,49194403,39268244,30672057,23256067,23256066,30672055,39268243,256473497,23256052,16992695,11907000,11906999,16992693,23256048,30672036,39268214,39398567,39398568,30795624,30795625,35193422,27104288,256228203,257598597,49194399,60595070,258829363,60728869,49326789,39398548,30795609,30795608,39398546,49326787,49326778,39398534,39398535,49326780,49815881,49326798,39398562,30795621,23369394,23369392,23369391,30795614,39398553,39398564,30795622,30795623,39398566,49326801,49194391,49194392,39268232,30672050,23256063,16992702,16992701,23256060,30672048,23628258,23628259,30371782,23628165,17312235,17312234,23628162,256503783,39795347,39398558,39398559,49326796,49815872,257605334,39795372,31114787,31114786,39795371,49815888,49815873,39795150,31114626,23628159,17312232,17312233,22970259,22970260,30371773,38957900,48877381,39795160,39795159,31114765,31114764,23628252,268435547,39795344,255531028,268244300,49815971,39795337,31114757,255549339,255549341,31114759,39795340,38957903,30371777,22970262,22970263,30371780,38957905,268435549,23628264,31114635,23628166,255161307,8217876,8217875,255161305,268107869,12187784,17312297,18136421,24579182,23628205,23628206,23628202,255999479,23628197,23628198,31114686,39795234,269372238,257605332,49816109,39795356,31114776,31114775,39795353,255999489,17312312,255549347,31114637,23628167,17312237,17312239,12187792,8217873,8217871,12187788,17312301,17312250,255999477,39795210,49815925,258212898,49816103,255978390,39795167,49815890,39795184,31114649,23628177,17312245,17312244,23628175,31114647,39795175,49815899,39795341,31114760,31114761,31120706,23634251,23634250,31114674,31114675,39795224,49815951,49890677,39868511,31186055,23696372,17374303,17374304,23696374,31186057,39795199,268662520,23628183,23628269,23628268,31114785,39795369,31186059,31186060,39868517,49890685,49890706,39868539,39868538,39868535,31186070,31186069,39868531,31186068,31186067,257055747,61301817,61301816,74082982,87690038,87684775,74151391,74077394,61295685,61295684,74077392,87684768,74077400,256214330,256214332,61295875,49816115,49816116,61295877,59610271,48223406,48223405,59610268,67485022,58752605,58752606,49890696,49890695,257962806,55144513,61927531,74082980,74082979,85938401,99893512,99893511,101656438,101656437,87690029,74082975,258865251,74077420,74151405,258525190,70854697,70854698,84412301,98321855,102345479,88349229,88349228,102345477,115028890,115700291,115705886,101661714,87690034,74082978,61301815,49822037,39801188,39801186,44300389,34930777,26859645,19984471,19984470,26859641,268823317,257899959,80953992,95013647,109271007,260982661,129586364,259782174,98321858,98321857,112304699,126165329,260986826,128312758,260443102,95013665,80954006,67485021,257357264,34930770,256734765,257962808,44300377,257899961,80953996,95013655,109271005,123466537,115700304,101656416,101656415,115700302,129586362,141662302,128312763,114436082,109271021,95013656,80954000,67485015,61301807,49822031,49822033,61301810,74082970,80953994,95013649,109271012,123466540,130275619,130275618,137202249,123466561,259836938,258585672,55144532,55144531,258520369,95013651,109271015,123466544,137202241,129474221,115588954,101552409,270375375,73989294,259482469,260748575,114436106,100411408,100411407,114436103,272094181,123703820,116438663,102345467,102345466,116438661,130275616,128312755,114436077,114436076,115028885,115028886,260671845,100972962,86987158,73374482,60628778,60628779,73374485,86987165,100972970,115028897,261027982,109271029,95013663,95013662,109271026,123466555,115588976,259482473,73989302,73989301,87589746,101552425,115588971,123571964,116438659,116438658,130275614,260412108,259172708,86454256,86454255,100411367,114436073,115028888,115588959,115588960,261268867,271836657,100972968,100972967,100972958,260671849,141662309,137202244,137202245,260694987,101552430,101552429,115588973,116438656,102345464,88349218,86454297,86454296,271353691,109512103,95257998,87589740,87589739,101552418,115588964,129474224,123703828,112574657,112574659,111654822,111654821,114436075,128312751,141662298,137433826,137433827,150471080,137433822,123703825,123703824,128312778,114436101,100411401,86454292,72858643,60121841,48726928,48726927,60121838,258798001,60121827,48726918,38806196,38806195,48726915,60121822,72858630,72858657,86454265,86454263,86454283,100411396,100411394,86454282,72858636,60121833,60121832,72858613,259422303,114436067,128312748,128312784,114436110,100411412,86454309,72858655,72858656,86454249,100411363,86454300,72858646,60121843,48726930,38806203,30222789,30222788,38806201,48726925,60121840,72858593,70349867,57659845,46315562,46315561,57659842,70349859,72858601,60121853,60121772,60121773,72858588,72858619,60121808,48726905,38806194,38806193,48726901,258174641,48726893,38806187,38806188,48726897,60121800,72858607,86454254,86454268,72858622,60121810,48726906,48726907,60121811,60121774,60121775,60121802,60121803,60121830,60121831,72858633,72858661,60121856,60121784,60121785,66891120,66891119,70349863,72858651,81067991,81067992,85231841,99154109,108662384,94374945,80319485,66891112,54633597,268952126,34619157,43890721,54633600,66891114,60121792,48726891,48726890,48726898,38806190,30222782,22830641,16609392,16609393,22830643,30222785,38806177,48726878,60121777,72858590,86454238,86454244,72858597,67485025,55144533,55144534,55258103,67599824,81067994,259182324,73443827,66891128,54633609,43890728,34619160,26629711,26629712,34619162,43890731,54633616,66891130,60121861,48726945,38806212,30222795,22830651,16609398,11584320,7710657,254797165,16609390,22830640,30222779,38806184,257565857,72858599,72250290,59516102,48128727,38218671,38218669,37424388,28882148,21606197,21606198,28882151,37424389,47332769,257652569,40039652,46332770,36477179,28016449,20850444,14950137,14950138,20850446,256271621,26956034,26956035,35036010,44410544,36477195,28016461,20850449,14950141,14950139,20850448,28016457,36477192,46332786,57679574,61487219,61537454,57679564,57679563,70371286,72858624,72858626,67633240,57679557,57679555,61537426,50059103,50059104,40039656,31359678,31359679,40039659,50059109,50059115,40039633,31359658,31359659,40039638,256271619,28016452,20850457,20850455,23865664,23865665,31359650,31359649,23865672,256522955,255785105,14950146,10284324,6759785,4236070,4236071,6759788,10284327,255359943,28016484,36477221,46332819,57679536,46332752,36477158,31359681,23865668,17521442,17521443,17521447,23865680,31359699,31359663,23865653,23865654,31359656,23865650,23865649,20850438,20850439,28016445,36477171,46332762,50059132,40039666,36477218,28016481,20850461,20850460,28016478,256809017,20850453,14950144,255359941,256271625,256809021,40039625,256017789,255176209,8348069,5388083,5388082,8348065,12355946,17521435,23865657,28016437,20850437,14950136,14950135,20850434,28016434,36477162,46332757,57679543,70371272,57679601,57679602,57679605,257997673,61210135,49731545,39712892,31035585,23553885,255994117,39712894,49731549,57679609,57679590,57679589,61537443,50059140,40039673,31359690,31359689,40039645,31359670,23865661,23865662,31359673,40039650,39712881,31035571,31035572,31035576,31035575,256809013,57679545,49731543,49731542,49731538,49731539,61210125,70371303,57679598,46332808,36477207,36477206,46332804,269294281,46332753,49294443,39366938,39366940,49294446,55286994,50059137,50059138,257652567,257328775,35320441,27197064,20270722,20270723,27197066,23553881,17245243,12127599,268249715,31035583,39712890,49294415,49294414,57679586,46332793,36477198,36477197,30765274,256480959,47008266,37121722,37121721,47008263,39712903,39712902,49731559,258235845,61210128,269862929,60695897,49294473,49294474,60695899,70371300,60696172,50059122,50059123,55654111,44746181,35320449,27197069,27197067,30765267,23342049,17075962,11988992,11988990,255531715,30765252,39366917,49294418,60695861,73443821,259461189,260653230,68050802,55654114,257929197,49294456,39366952,30765277,23342053,23342052,30765275,39366949,270676244,87061356,73443850,60695900,49294476,49294477,60695875,49294439,39366935,30765262,23342047,23342046,256480957,49294434,60695859,258214065,87061338,101057070,258836789,270676242,30765280,23342059,17075967,17075966,23342056,30765279,39366954,49294458,58832897,58832898,71560241,60695874,49294435,49294436,49294430,39366931,39366930,257606537,60695870,73443832,87061346,86940042,73329571,60585393,49731555,49219633,39292969,30695449,23280137,17021293,11936738,11936737,17021290,23280128,30695437,37459968,30765282,23342061,17075970,11988995,11988996,17075974,23342067,30765294,256765692,60695905,60585396,49185448,49185447,60585395,60695830,60620185,49219625,49219626,47365418,47365419,58751437,268837146,49294694,47365420,47365421,258074469 Dl.O(d2) = 73443962,259182326,73443838,87061350,73443957,60696048,49294657,39367193,30765551,30765550,39367189,49294465,60695892,73364753,257332484,39292960,30695435,30695433,39292957,47365417,49294631,256765694,30765583,39367228,49243672,58751422,58751423,71480192,73364749,60620183,49219621,47446837,47446836,49294696,60696054,49294826,49294825,49294832,47446831,47446830,49294624,47365404,37459946,37459942,37459943,39366958,39366957,30765600,30765599,39367252,49294712,60696084,73443987,60696088,49294715,49294716,49294691,49294690,60696059,60696060,73443964,87061431,73443967,73443969,85130652,73443947,257608508,39367172,30765527,23342297,255979197,28920461,21645094,21645092,28920458,37459960,47365413,58751430,60563918,49164215,39237404,30639309,23216075,23216076,30639313,30765504,23342268,19048801,19048802,23342131,30765359,30765593,23342358,23342359,30765596,39367247,39367044,30765378,268662795,23342135,23342081,17075988,255145575,11989157,17076171,23342291,23342324,17076199,17076198,23342322,30765303,23342076,23342077,23342174,255979191,30765543,256480983,30765239,23342029,255531723,11989164,8040852,5131229,5131134,3119260,3119261,5131136,8040718,11989008,17075996,11989044,8040740,8040739,8040831,5131215,5131207,5131205,3119312,3119313,267795669,1823117,3119359,5131272,5131162,5131160,8040758,11989069,17076062,23342176,255145589,8040913,8040813,5131197,3119303,3119305,5131200,8040818,11989140,8040834,8040835,11989162,255145567,8040738,5131150,3119274,1823070,1823069,267838403,8040732,8040778,267838405,1823077,1823076,1823097,254130727,327286,180572,180574,327288,267754191,1823121,3119366,5131260,8040886,11989238,17076269,23342167,23342169,23342027,23342026,30765235,30765318,23342093,23342094,256480963,17076017,11989023,11989022,17076015,11989024,11989025,17076019,11989226,8040882,5131257,5131248,5131247,254823297,17076069,11989075,8040797,5131183,3119293,3119292,5131181,8040796,8040802,11989124,17076137,23342265,30765500,23342402,255979205,23366476,23366477,30765352,30765445,256480977,30765451,30765452,30765460,23342223,23342219,23342218,30765344,23342116,17076009,17076010,255979185,26294315,26294316,34162096,257261827,257858666,257027879,60725474,60725471,60696119,49294760,39367296,30765671,23342409,23342408,30765668,39367315,49294782,60696143,60696195,60696194,60696204,73444055,87061403,73443922,60696018,59725057,256952932,49294774,43252575,34162102,26294318,23270975,23270974,30687477,39284518,49210893,256704052,34162119,26294329,19572218,19572216,14020730,14020729,19572223,26294337,34162138,39367059,49294549,60695956,49294856,49294857,42810118,33777647,25967717,19301454,19301452,25967713,33777638,42810112,47333851,38436947,268087782,16348298,16348297,22521485,255473714,43252591,34162123,34162122,39367381,30765732,30765733,39367382,49294840,53768852,43252613,43252612,53768851,52348502,52348504,58722710,47333884,47333885,58722712,57862232,57862233,46506090,268464712,70563779,65829374,53768845,47828444,47828443,57862245,46506095,46506096,57862248,256821214,31303762,23816828,23816829,31303764,39730447,43252594,34162126,255194334,53768832,52348511,42009268,33065174,33065173,42009266,52348508,256542556,57862237,255616702,28163790,28163791,36638830,46506093,57862229,57862228,52348524,42009287,42009288,47333874,37425416,28883225,21607299,21607300,28883227,37425418,46315578,39394034,39394033,48223396,49995049,42009294,42009295,38313527,38313526,256287059,20983810,255010675,6851615,6851616,10394645,15071506,20983816,20983804,15071502,15071501,20983802,28163789,36638825,28883229,21607303,15578803,15578804,21607307,28883238,37425434,47333869,50299026,40278582,254865090,28003854,20839136,20839135,28003849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174254, s2 = 2605518, dlinesl.size( ) = 2 s1 = 11174254, s2 = 2605518, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11174254, Dl.E( ) = 12, 2.31e-05 seconds used appending s1 = 8081519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8081519, s2 = 11209868, int(edited[s2]) = 0 s1 = 8081519, s2 = 11209868, d1 = 80, d2 = 74 Dl.O(d1) = 58109372,46739204,36857528,29087325,22213777,22213776,24467050,29559295,32805452,38824075,37762472,30240779,30240778,37243422,28712471,28712472,37243426,36828937,36828936,36583180,36583178,42205642,52566127,256145068,60138043,48743261,38823067,30239809,22846427,16622862,11595090,254547374,2943867,1707179,970401,546517,546515,970390,1707155,254170278,7718495,268094116 Dl.O(d2) = 9323132,13615591,16663129,15141918,15141915,21080080,28286048,256834571,31658933,256758447,27154491,24963048,18444652,13102322,8929502,8929499,13102313,14526036,9994918,6568751,4114942,4114943,4114802,2461278,1422762,1422763,2461284,4114812,6568524,9994451,8130252,8130251,12089818,17193323,20242711,20242712,27153894,256758387,49750339,256499141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8081519, s2 = 11209868, dlinesl.size( ) = 26 s1 = 10175301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14067813, s2 = 1168963, int(edited[s2]) = 0 s1 = 14067813, s2 = 1168963, d1 = 21, d2 = 19 Dl.O(d1) = 48938565,39015430,30426604,23021493,16780872,11733179,7833640,4972586,3003428,3003427,4972585,7833639,11733177,16780871,23021492,268664626,30514280,23098596,16842649,11778550,7864213,7833664,4972599,3003435,1744198,1744197,3003432,4972595,7833657,11733208,255511483,7833938,7833939,7833947,7833948,11733677,16781597,11848496,7919132,5034802,3048459,1775981,1775980,3048456,5034797,7573280,4789683,4789684,7573282,11397896,16377214,22554458,29911433,30514262,30427900,23022484,16781601,16781600,23021509,23021508,17436089,16780924,11733219,11733218,13167863,8975960,8975961,13167865,15360246,10612161,10612162,15360264,21333165,16773874,13167934,8976006,5859866,5859865,8976003,255241959,18532520,18532519,13167820,8975924,8975910,5859820,3658124,3658125,5859823,8975915,13167812,18532512,13167837,13167836,18532545,25075204,32772296,25875503,25075293,18532570,13167858,13167857,18532568,18532589,13167885,8975973,8975972,13167883,18532585,15360257,10612157,7002510,7002511,10612160,15360262,21333162,28559205,37060120,46938597,41688972,32772479,25075369,18532643,18532642,25075366,25075337,18532612,13167906,8975985,8975987,13167907,18532494,13167789,13167787,13167807,13167808,18532515,13167842,8975940,5859835,5859834,268020055,13859246,9507424,9507423,13859243,19375130,19216519,19216520,18532483,18532482,13167893,8975977,8975975,13167889,18532594,25075227,23021555,16780921,11733216,11733217,16780923,23021560,30426663,39015492,37086013,255399100,15375672,10624821,10624820,15375669,21351805,28581373,37086008 Dl.O(d2) = 30519478,39116951,39115926,39115925,38332038,29761489,22399604,16238378,11289336,11289337,16238381,22399609,29761500,38332056,30519285,23102825,16845839,16845841,23102827,29761488,255961545,23103826,30520706,256462309,23102689,23102688,23102695,30519123,39116213,39116212,43186121,34100609,26237341,19520242,19520240,26237336,20266748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067813, s2 = 1168963, dlinesl.size( ) = 2 s1 = 14067813, s2 = 1168963, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14067813, Dl.E( ) = 22, 1.29e-05 seconds used appending s1 = 6550933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8383313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6552585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6552585, s2 = 580417, int(edited[s2]) = 0 s1 = 6552585, s2 = 580417, d1 = 7, d2 = 7 Dl.O(d1) = 255886179,22107662,28920391,21645033,15612294,15612293,255849945,269320637,49405653,47365335,39476754,30872759,23443765,17169264,17169265,255986643,21085014,21085015,23443756,30872746,257009468,28291909,21085175,15145527,10445596,10445531,6885935,6885936,10445534,15145422,21085025,256296183,257404550,36638388,28163362,20983409,15071134,10394358,10394359,15071135,20983410,28163366,268600468,46505732,57753519,46402608,36541342,36541341,41901858,32963397,25241911,255867070,34615814,43887984,54631365,66889087,80317476,94372997,256737390,58155476,268794410,36910261,36910262,255717456,58701732,58254997,46888112,37009329,37009328,46888110,58254993,58155488,58155489,58255001,47895469,37978147,29415139,22084854 Dl.O(d2) = 255886179,22107662,28920391,21645033,15612294,15612293,255849945,269320637,49405653,47365335,39476754,30872759,23443765,17169264,17169265,255986643,21085014,21085015,23443756,30872746,257009468,28291909,21085175,15145527,10445596,10445531,6885935,6885936,10445534,15145422,21085025,256296183,257404550,36638388,28163362,20983409,15071134,10394358,10394359,15071135,20983410,28163366,268600468,46505732,57753519,46402608,36541342,36541341,41901858,32963397,25241911,255867070,34615814,43887984,54631365,66889087,80317476,94372997,256737390,58155476,268794410,36910261,36910262,255717456,58701732,58254997,46888112,37009329,37009328,46888110,58254993,58155488,58155489,58255001,47895469,37978147,29415139,22084854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6552585, s2 = 580417, dlinesl.size( ) = 2 s1 = 6552585, s2 = 580417, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6552585, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9811183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9757807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9757807, s2 = 13247207, int(edited[s2]) = 0 s1 = 9757807, s2 = 13247207, d1 = 91, d2 = 30 Dl.O(d1) = 257589090,36998113,28500697,28500696,28500411,28500410,22332517,21282543,15319361,15319366,21282556,21280408,17182640,12081694,8124441,8124442,9138296,5980028,5980029,9138298,13370688,18774895,25357226,33090224,257190795,41053406,41053407,47643194,37721104,29161300,29161299,37721101,257481859,51209833,42038104,41313026,41313025,46798242,51209853,51209851,41053265,41053264,47355174,51209813,41052880,32258800,24658509,18199613,18199611,24658501,24222678,24222681,31730727,40424405,40447306,40447307,41313805,39256701,39256703,46213571,36383183,36383182,46213566,48382241,59765647,64238056,52505463,51210404,41053373,32259138,24658760,24658758,32259130,254615338,24240308,31752131,40447320,50483841,55693382,55693381,58165599,50460614,50460615,59766391,48383403,38842643,30258895,30258894,38842642,48762251,60156217,72892268,258298004,51209995,41053038,41053039,51209997,62859863,72501008,59766410,48383430,38480777,38480776,255596820,30258896,38842646,256557220,59766463,72501027,258757092,75823669,86100133,86100121,72500957,59766303,48383258,38480992,29920955,29920953,38480984,48382452,38479802,38479803,29920164,22561096,22561095,22561066,16381911,16381908,22561059,29920112,38479876,48382531,48762276,44786001,35361911,35361912,34593267,34593268,40025778,43863864,38480506,38480507,48383168,59565572,268813588,44785857,39099689,30503722,30503723,26668851,26668850,26668898,26668897,34661477,39099710,39099711,43935331,54677967,48383245,48383247,48382401,38479748,29920039,22561028,22561029,29920045,22561038,22561037,29920064,38479791,38479973,29920181,29920180,38479963,48382608,38480060,38480061,35361901,27238966,20308683,20308680,27238957,34593225,26606162,26606161,26606168,34593239,43863837,54606785,59766345,48383323,48383037,48383039,55693533,66934456,54677887,43935155,34661418,34661417,43935152,48383304,38480646,38480647,48383307,58691385,48382427,38479780,38479779,43938578,35361877,35361878,44785969,48382377,38480208,29920416,29920412,29920411,38480117,29920300,29920302,31259902,31259903,38480244,38479992,37535694,28990707,27239017,27239010,27239012,27239064,35362070,29920659,29920657,38480548,48383111,48382799,38480163,38480166,43935204,43935203,37391911,28851688,21579621,15556158,15556159,21579627,28851699,37391922,30503728,30503729,39099700,43935312,43935313,47301151,37391955,37391956,37391942,37391941,47301140,58691441,47300953,37391785,28851608,21579587,21579588,28851612 Dl.O(d2) = 3132990,5148414,5148297,3137412,1834456,1834457,2870705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9757807, s2 = 13247207, dlinesl.size( ) = 2 s1 = 9757807, s2 = 13247207, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9757807, Dl.E( ) = 100, 4.79e-05 seconds used appending s1 = 7991468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8203302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6696153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8573886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8573886, s2 = 1938325, int(edited[s2]) = 0 s1 = 8573886, s2 = 1938325, d1 = 39, d2 = 59 Dl.O(d1) = 265180082,274091059 Dl.O(d2) = 30855379,23424414,23424415,30014405,38586799,41754147,38586817,30014418,30014419,38586822,38587021,31408738,30014433,22642597,22642596,30014445,31408753,31408754,30014504,22642630,16452804,16452803,22642626,22642650,22642651,30014537,32834014,32834015,41754989,48180327,38586713,38586710,38586870,48501647,38588834,38588835,47170720,37264703,28732452,28732453,37264709,47170728,50048850,50048851,52068097,59566170,59566167,48501547,48501546,50087475,48501729,38586792,38586791,48501723,58825201,58825199,61589162,59895616,48501780,38586838,30014427,30014428,29704868,29704867,38271154,40088720,38586902,30014489,22642621,22642620,30014484,38586895,38586960,46718660,46718659,50048929,48501641,38586721,30014315,22642507,22642508,30014319,31625349,40313791,50339680,59566153,59566149,48501660,48501662,40028903,31348738,23854918,17511887,12348682,12348684,17511894,23854929,31348760,38587679,31348746,31348750,40028738,40028737,50048646,50048661,48502599,38587643,30015190,22643264,22643262,30015182,38587625,48502573,52069891,52069896,61527800,61527801,59896414,48502616,48502613,59896405,50048775,40028838,40028837,50048768,61527956,61527947,50048584,50048535,50048534,48502523,38587587,38587586,48502520,50048794,50048692,40028768,31348659,31348658,40028765,38587602,30015167,22643256,16453311,16453312,17511849,23854826,31348553,40028560,50048395,59896348,48502647,48502648,50048786,47899232,37982089,37982087,47899225,59294551,61527718,50048876,50048875,61528190,52702209,257801083,257922818,72638304,86240862,72642759,71561987,71561990,64602843,52702194,48508108,42315011,42315008,48507899,38592978,30020249,22647581,16456629,16456630,22647584,30020257,38592994,48507962,48507920,48507921,42314985,42314984,46212271,36381849,36381850,46212276,57527674,46679168,46679169,50084823,61564923,59949394,59949393,59949418,72687953,86242416,83716480,70194834,70194833,81284749,67817500,55475105,55475104,48557254,38642304,30067299,22688554,16488302,11488078,11488079,16488311,22643537,22643522,22643521,22645049,30016043,30015584,22643608,16453549,16453550,22643613,30015591,24295598,24295597,31810830,33097253,28296126,28296125,21978771,21978770,29306467,30016025,268911107,38004687,29441792,29441793,28296132,28296131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9818933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16018247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 433919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 433919, s2 = 15342748, int(edited[s2]) = 0 s1 = 433919, s2 = 15342748, d1 = 15, d2 = 17 Dl.O(d1) = 13586832,9303250,9303251,13586834,19034494,25653417,254659488,33422055,33422056,42413146,255277532,64729968,64729969,77920062,78484505,92524473,106040688,120245316,120245321,134080864,147297304,147386918,134173292,134173291,147386916,142243986,128892882,114991168,100937159,100937160,114991171,128892879,128892880,142243983,154877603,146844524,146844525,260840336,144421965,144421964,156832494,144421961,131191263,117388031,103258799,89168896,89168897,103258802,117388035,131191270,144421969,156832501,168301334,178637477,178637470,178637471,187771351,179274791,179274790,188325592,196208484,188325655,179274851,168988586,157525278,157525276,168988483,168988482,168988508,157525184,157525183,157525155,145090555,145090554,131831657,118004374,103859791,103859790,103859793,89756176,75977344,62994634,62994635,75977345,89756170,259759479,94334554,103859801,89756184,89756179,75977347,258966811,89756189,80278087,66848571,66848570,80278093,94334574,258868229,61350053,52323417,41982739,33039043,33039042,41982737,52323412,61350052,61350057,74131831,87737567,101711707,115757966,129656082,120978196,106725906,92420227,92420228,106725908,120978198,115216865,115216864,123531401,258842396,84463414,84463371,70907096,58194439,46828482,36950461,28450238,21223558,21223557,28450236,255696776,58194434,58332321,71047962,84611847,71516821,58786701,47398510,37490062,28947414,21667952,15631796,11076177,7344458,7344459,11076185,7344501,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,4634506,2791764,1619519,1619518,2791760,4634495,2794018,2794015,4638684,7336425,11064658,15944794,15945079,11064877,7341564,4637180,2793192,1620208,1620209,2793195,2248383,2248382,3754416,6003404,7348790,4641521,4641522,7348793,7348824,4641540,2795562,2795561,4641536,4636766,4636765,7340772,11070794,15939621,15939623,22042391,15951235,11069770,11065736,7337211,4634694,254521995,7334073,11060891,15939876,22042692,15956644,11074069,7342965,7342966,255070957,11059611,15938099,22040660,29371612,29369136,22038360,15936130,11058206,11058204,15936129,22038359,29369135,33303664,33303663,25542098,18929463,18929467,18927930,15880782,15880779,11206082,11206083,9744247,9744248,14174027,11008897,7287780,7287778,11008200,11008198,15880134,21974287,15926988,15926987,22027991,29358433,29304011,21976490,21976492,29304019,26594456,26594455,29304293,21977009,15882159,11009425,7288076,7288072,11009412,7574554,7574555,11399541,16379484,18922281,22043186,25055343,25439207,22273754,22273753,19511899,13966541,9589903,9589902,13966533,19511879,21465214,18924959,15960946,13495751,9233042,6046792,3783330,3783328,4595811,7287588,11008589,13491595,254680980,18923429,18923428,25534726,29304161,21976629,15881910,15881909,21976628,25543603,25543602,33184460,33184461,25534806,18923481,18923482,25534811,254962410,254465408,7435181,7435203,7435200,11205525,16130777,22272648,29624009,38190840,48102365,48868749,38949063,38949064,47657454,43863299,36796396,36796397,46682392,37735662,29174974,21864731,15791539,15791538,21864728,29174970,25450483,18852442,18852441,25450477,33196613,42156053,47657359,47657358,44591343,35210904,27118902,20215928,14506458,14506459,20215931,22057582,22057583,29387996,37952896,36832796,28336328,28336326,36832789,30353424,22951656,16714917,16714916,17903633,17903632,24284410,31798435,40493489,47657470,47657469,59057782,60261556,66863931,58056727,58056726,70774736,72248939,70774752,70774751,256453050,98259137,102410740,116505843,114576049,100545519,88410704,84351604,84351603,85386763,98259130,98259129,88410721,74779287,74779288,86594896,270634786,60432514,59057667,59057668,70792715,58075438,46703393,36820868,28325680,28325681,36820872,46703399,46703371,36820849,36820851,46703356,46703431,36820904,28325705,21116057,21116058,28325711,36820912,40455413,36820919,36820918,46703443,46939616,50491219,61983140,72997178,72997177,81253658,88410699,88410698,81555499,68065556,55666264,44755984,44755985,55666267,68065560,58075460,46703421,46703422,40455276,40455277,50491070,50491066,50491065,61983022,70792713,58075435,46703390,46703389,58075433,58305794,58075415,46703367,46703368,46703382,36820861,36820858,257415875,40455453,40455452,50491244,61983019,74779243,70792735,70792736,61983030,50491073,50491074,61983031,50491253,40455455,40455454,44778977,39535296,39535295,44588744,44588745,49469533,39535336,38070699,38070698,47982811,257302754,40455376,46269263,256197690,55412451,44564813,44564811,46619396,57995560,269613180,67752965,58650132,47258294,37348823,28810351,256335775,47258290,47258302,256197698,28810355,37348835,36731300,28236801,21038742,21038739,28236795,36731283,46619316,57995495,70712340,67781327,55438311,55438310,61385584,257057179,31204792,31204793,39884264,257639741,47381452,37474119,28932616,28932615,37474117,37586411,47491032,257429156,49905076,61385571,61385570,66911795,54654981,43912267,43912266,44615273,55463990,67805582,61385585,51434844,51434843,54616133,43873861,43873862,44588855,55438340,66873825,66873812,57460387,50168547,50168549,61654399,70121151,57460397,46157241,46157242,47843509,47843508,59240355,66873819,256850628,54654839,43912247,34638821,34638820,256264578,54654868,43912183,34638780,26647249,26647250,26647256,34638790,43912203,54654905,48053669,257385198,43912237,34638816,34638817,43912240,36340929,27909100,20765056,14883815,10234138,10234137,14883813,20765052,27909092,36340919,44283478,54654837,54654838,57460365,57460366,70121133,57460364,46157212,36340895,36340894,46157208,57460359,70121129,57460368,57460367,57460452,57460419,57460414,46157254,46157253,57460409,70121166,70567595,73474646,60726557,49324412,39396305,39396306,43912154,34638764,34638763,43912152,42405161,33415257,25647694,19029820,19029819,25647691,33415248,42405149,49851361,61334313,74116575,87722063,80858190,80858191,83646156,83646154,87722057,87722058,84104088,84104089,83646160,70121124,70121125,83646163,74702265,61908822,50418430,50418429,61908819,61908837,256541194,88329971,83646149,70121112,69261517,56696660,49324410,49324409,60726554,61334307,73435730,60687487,60687488,52805254,42405142,42405141,52805252,61334311,74116566,64718982,64718981,77907204,74963176,257671762,87722054,74116568,74116569,74963179,62153084,50645447,40596458,31888244,24360765,17965871,17965870,18411172,17813558,12611690,12611691,17813560,256040461,40384003 Dl.O(d2) = 2423372,2423369,4047983,2423372,2423367,4047996,2423610,2423607,4048816,4043321,4043318,6448442,9812986,14281191,19940927,26797907,26625503,26625507,34615202,43600654,43600658,54232871,64072580,64072583,64075297,66534528,70279805,83803212,79726578,66326788,256770848,34401408,26488190,26488191,255764930,66326802,79726597,77377140,64227623,59844692,48455032,48455029,48752693,39677264,39677262,49684330,55877782,66801977,73919678,61146520,61146522,61330209,49846910,39823047,39823048,49846911,55994332,58579705,47189248,47189251,53914189,43595082,34419417,26515538,19742641,19742643,26515545,34451446,31881725,31881727,40588281,43645446,34451400,26515523,20417900,20417902,20417958,14653254,14653255,20418004,27380328,34821612,26779640,19984107,14314255,14289025,14289028,9823875,6456294,4047114,2423154,2423150,4047169,6457081,9829075,14308459,19983651,26858592,255776384,254701784,43511844,43511648,34371299,26471461,19956216,19956218,14314357,14289228,9832479,6458836,4048008,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423268,2423267,4040527,2420914,2420911,4040555,6442058,9800486,14259514,19906462,26745790,34429767,34939146,34939141,44310396,55156334,67497854,76758896,63666359,63666360,63417837,51673786,41431071,32570113,32570115,41431074,51673792,51684472,41437525,32573539,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423367,4047996,2423610,2423607,4048811,4043240,4043238,6448172,9812420,14279967,19938727,26794421,34841623,37989301,37989304,47904866,59299449,66128004,66128002,54798058,44024551,44024549,34727681,34727683,44025411,54029290,54746907,44025963,44025966,54800338,64219808,66336368,59844286,59844283,61105949,49649884,49649881,49603658,39621864,39621861,49603649,54044677,43480981,34354629,26462776,19715377,14134664,9723410,6396092,6396093,9723350,9723353,14134531,19715105,19718162,26467875,34364575,43499337,42360866,33371868,255283724,18994494,25607083,25602082,18990295,13551130,13551131,13550795,9276610,9276609,13550793,254665604,18990284,25602536,25602087,18989861,18989862,25602090,18989885,13550773,13550772,13551127,18990293,25602540,25932434,19270170,19270168,25607060,18994472,18994471,19113447,25751722,25602119,18989891,18989889,25602112,25602127,33366626,42355414,42769428,42769427,53219164,254665618,29507968,22167507,16044534,11140540,11140541,16044538,19270072,19270073,25288183,33013124,25607032,25607031,255694914,22933918,22933919,30334829,30334860,22933939,16698973,11659573,11659572,16698970,22933937,29006618,26613202,268321908,23006205,23006204,30411046,39000147,37552213,30410902,23006092,23006091,30410900,38921270,30334807,30334808,29006635,21720666,21720665,29006633,255708452,17910410,12688871,8619580,8619581,12688875,16766697,11719926,9279751,9279750,13554774,16766689,16766688,23006210,30411053,38921281,48841891,60236222,72973181,269564520,58314414,46947639,37068222,269780632,46947642,37068224,28566239,21339125,255034026,7005677,4403657,254498897,10616133,15365089,21339116,28566225,37068209,46947620,58314394,71030296,84594733,95253956,81197797,257317512,44544597,44544598,55391939,67732240,81197799,87588618,101551188,115587618,104059763,89930397,76124684,76124683,89930395,101551173,87588604,87588605,101551176,87588631,87588602,73988269,61209164,49730597,39711913,31034613,31034614,23552980,17244450,17244449,23552978,31034615,39711914,49730600,40364751,40364750,50400039,258909085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 433919, s2 = 15342748, dlinesl.size( ) = 2 s1 = 433919, s2 = 15342748, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 433919, Dl.E( ) = 26, 1.41e-05 seconds used appending s1 = 7912512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7912512, s2 = 11502314, int(edited[s2]) = 0 s1 = 7912512, s2 = 11502314, d1 = 121, d2 = 119 Dl.O(d1) = 256004062,254842226,12675531,12675530,10696024,7066275,4449051,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386062,16361379,22535198,255664490,36436257,46289255,268746198,28075444,256129212,40799562,40594385,40594384,256644679,256478587,23313933,17050927,11961635,11961633,17050923,23313929,30732872,31080779,39758465,39331590,37260409,28728504,21471229,21471230,28728506,37260413,47166269,255664868,28857910,28857911,31886473,24359253,23314069,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,30732835,30733799,255413404,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985,30026181,23314222,17051816,17051818,22142350,29479826,38043060,30732525,30732523,30734817,30734816,29769212,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,5097466,8007097,255143515,255976851,8007153,8007154,11961430,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316 Dl.O(d2) = 171009985,171009984,181114829,181114831,189977809,264369825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7912512, s2 = 11502314, dlinesl.size( ) = 14 s1 = 7652638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9799739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14854412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14854412, s2 = 14921112, int(edited[s2]) = 0 s1 = 14854412, s2 = 14921112, d1 = 28, d2 = 22 Dl.O(d1) = 15820246,15820250,21898634,21898463,15819741,15819739,21898442,21898445,29212580,29212662,29212661,29213389,29213390,37775033,30211668,27210159,27210158,35334738,27210300,27210299,34588976,33830026,26011989,19337668,13828930,9484607,9484608,13712211,13712210,15942161,11062683,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,10646462,15403190,10646483,10646484,10467722,10467718,255809909,36835231,46717919,58089666,256823110,50133277,40113193,31434361,30367376,22965857,22965856,30367373,26315130,23940251,23940252,18556707,16372872,16372869,22549226,16910422,16910423,23174614,23174483,23174484,30593200,39187420,36972598,36972599,36416455,28163936,20983956,20983957,23877487,23877486,31372921,38793106,36424662,36424661,37461415,268619322,255417340,10805240,7139865,4495503,2701031,1564827,889631,889632,889511,501871,281448,155404,85263,46731,46733,85268,155415,281470,501914,889573,1564672,889529,501888,281454,281453,501884,889525,1564665,2700796,4494968,4494969,7139101,7139427,7139428,7139389,4495260,2700886,2700885,4495256,7139480,7138810,7138811,10803835,7139225,4495090,4495091,7139232,4495186,4495188,4495689,2701147,1564891,1564890,1564851,1564817,1564818,1564606,889482,501857,281438,155392,85257,85258,155398,281441,501861,889490,1564613,1564683,889544,501897,281460,281461,501902,889551,1564705,2700847,2700713,2700712,4494974,7139107,10803893,10804589,7139473,4495250,4495249,7139466,7139344,7139343,10803830,15615044,10804390,7139221,7139220,10804384,7139366,7139072,4494948,4494949,2701143,2701142,4494815,2700590,2700589,2700654,1564570,889461,501842,281428,155386,155388,281433,501853,889477,1564600,2700705,2700826,1564692,889539,501892,501893,889542,1564593,2700693,4494953,2700717,2700718,2700558,2700560,4494761,7138862,10803897,10804684,10804553,7139353,4495169,4495168,7139350,10804557,15615117,10804382,10804381,15615674,15615428,10804177,10804178,7140164,4495678,4495680,7138910,4494801,4494800,4494885,2700642,1564561,889455,501840,501815,501816,501846,889469,1564585,2700686,4494944,4495155,2700832,2700821,1564679,1564678,2700818,2700648,2700649,4494904,7138879,4494770,2700566,2700567,4494776,7138883,10803927,10804569,7139364,4495184,2700839,2700838,4495176,254742149,10804534,10804535,15615279,15615786,15615764,15615766,15615777,21648718,21648717,15617762,15615132,15615130,15615159,15615160,15615266,10804046,7138970,4494862,2700626,1564548,1564550,2700633,2700662,2700669,4494923,7139041,10804139,10804512,10804507,7139312,4495136,4495135,7139307,7138991,7138993,10804072,15615104,15615108,10803919,10803901,10803900,10804113 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14854412, s2 = 14921112, dlinesl.size( ) = 12 s1 = 9801407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9801407, s2 = 13391431, int(edited[s2]) = 0 s1 = 9801407, s2 = 13391431, d1 = 0, d2 = 0 Dl.O(d1) = 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91090,59577414,72312071,85905715,99861616,113880791,112957389,98968096,86433017,72838564,72312297,59577587,59577585,72312293,85905932,86503248,85905743,85905744,85905811,72312151,59577473,59577474,72312154,85905812,85905748,72312157,59577475,269811471,72312134,85905789,259451923,100987269,100987271,99861786,99861784,99861780,86433048,86432994,86432995,86198877,85905820,77411591,258066240,72439774,72439773,86037927,72838607,60102039,48706530,48706529,60102037,72838605,86433055,100388396,259317490,259895240,72312067,258277598,86037911,100000359,114026990,100000382,86037947,72439789,72439790,269878738,72439775,256538508,48316734,59703597,72439742,72439741,86037897,98968144,85043112,71471241,71471242,59703573,59703572,257668896,97691016,97691017,111609577,112231367,107412239,93004196,86927249,86927247,93004216,78894396,78894395,93004212,107412258,106158291,106158290,97691051,97691049,111609606,260102024,114959931,100907438,86927240,86927241,99357225,85414112,85414111,99357221,113359075,119683124,105444304,91221855,77301778,64153230,52301413,52301412,64153225,64153232,64153233,71435637,85008782,97691025,83833219,70308067,57617413,57617412,70308064,83833213,97691023,111609580,97691089,97691091,111609571,106158312,91959931,78032447,64834866,52909887,42500328,42500326,52909878,64834847,57617417,57617416,70308072,70795128,58077770,269772701,84353727,98261108,112238940,112238776,98260862,84353447,84353448,98260864,112238779,125408601,138732148,259277554,120361002,106158275,91959893,258428625,64834844,78032420,91959895,97691107,83833277,70308097,57617429,46272902,46272900,57617426,70308090,83833264,97691086,111609639,111609652,111609651,98260898,98260899,98261097,91959937,78032450,78032449,91959934,95635185,81602271,255875074,55717225,68113524,70794880,84353472,98260883,99446386,85504838,71919521,71919522,84353433,84353435,70795130,58077771,47765212,37842539,29275806,29275807,37842543,47765221,42127093,42127092,52481847,44810737,44810739,46714345,55717238,55717237,68113543,58077529,46705387,46705388,37842134,37842135,42869560,36822849,36822850,46705615,46705622,55717201,58077412,46705309,46705310,58077415,70794730,58077515,256370404,59182635,55717196,256912612,27260964,27260965,33054282,33054283,40053730,40053729,50073591,46705293,42265993,36822619,28335152,21123179,21123178,28327022,25819292,21117197,15170789,10463066,10463065,15170784,21117188,23598452,21962845,21962847,29289403,37858235,30536338,23117645,16858179,16858178,23117639,30536328,29048622,29048624,29290227,21963461,15869682,10999128,7281029,7281031,10999135,15869692,255876285,37859247,47783251,59182694 Dl.O(d2) = 113480009,127349578,140705428,262695143,165956163,165956072,154196845,141533705,260011820,100262894,86300755,72703561,59966145,59966147,72703571,86300763,100262907,260011826,141533736,154196887,154196905,165956122,165705540,261735885,127897943,127897941,262250325,141533734,141533733,154196884,272550305,140705428,153387292,165190883,165705626,261735895,127898008,114017907,99992128,258767815,59697173,48310203,38399539,255915145,16291949,11335022,254535143,2872344,255915143,38399530,33562484,25773092,25325701,18746705,18746704,25233474,18664617,18664616,18663314,13271538,13271536,18663307,19613195,14255961,14255960,19899039,14254844,9797895,6440676,6440675,9797888,14254832,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,11953693,12906444,8779620,5718094,3559674,2120950,2120948,3559663,5718073,8779576,12906359,15587582,19815073,14193760,14193762,19815081,26625911,28027731,31910274,31910272,25795387,25795385,28039384,28163056,28004016,27222652,20341774,20341775,18687841,13294514,9076560,5935886,5935885,9076558,13294510,259011421,71021949,58306570,46940362,37061598,255827099,15361084,15361085,21334277,28560542,31300311,23814097,17479816,17479817,23814101,31300319,39974858,42905135,53371190,42905138,42905141,53371196,258454545,84358024,70799399,58082627,46711059,46711060,49932189,49932190,61410757,74189765,84606598,257318216,63516246,63516247,72070218,60814331,60814329,49414175,256489307,23448181,23448182,30878794,39484396,49056268,39126086,39126085,257124009,40849726,50984347,60460179,49056345,39126181,30527744,30527743,30527789,30527790,39126245,49056405,49056323,39126159,37079442,37079441,37079220,37079219,46959838,47083488,47083487,49414155,39484381,30878786,23448176,17172359,12074198,12074199,17172362,23448184,21702331,21702330,21346599,15371343,15371344,21346601,28575346,37079181,257436323,37079406,37079405,46960021,46959968,37079346,28575482,28575483,37079350,46959980,47083578,58461642,71183601,61416180,49938111,39920213,39920212,47437752,37529748,37188221,37188222,39920197,49938098,61416168,58327206,58327205,48608261,38692827,38692828,31244574,31244573,39920259,49938186,42990297,42990298,43254797,43254798,53770628,65830837,59999729,48608309,38692856,30116698,22735448,16529108,16529109,22735454,30116709,38692881,48608333,49938139,49938137,53230775,53230773,256171620,78508438,65219508,65219509,78508446,256689786,53465999,53466001,65486751,53465975,53465976,61416208,61416194,49938129,256665626,42365789,42365787,52765394,64680310,70441075,57745947,57745946,49938233,39920294,31244593,31244592,39920289,49938228,61416309,57745942,46395297,36534492,28067794,20896639,20896640,28067797,36534496,46395308,57745956,52765398,52765400,64680106,65486439,70441054,70441071,83968462,87798148,87798162,84640370,84606572,71042693,58327225,58327224,61416322,74194902,77870095,77870094,91792804,87798177,74194881,61416291,61416293,74194884,64680350,64680351,72736672,72736671,74194876,61416286,49938215,39920282,39920279,49938208,61416277,74194870,77870223,91792854,98454945,98454944,91792853,84603542,84533694,70971103,58255573,46888694,46888695,52765355,52765354,64680266,77870257,77870081,77870080,91792800,91792828,77870141,77870120,64680119,64680120,64680180,64680160,58255586,58255585,46888840,46888839,58255734,58255748,64395785,77564081,70971066,58255531,52919182,52919183,50160230,40137219,31455762,31455763,40137224,40137228,257660491,74425581,64680166,52765379,42365781,42365782,52765383,52919364,64844322,64680171,58255606,46888722,37009864,28511229,28511228,37009856,256851923,58255595,70971121,71589931,58867196,58867197,71589935,84533703,98454963,84533654,84533655,70971210,70971211,84533699,70971110,70971111,70971214,84533755,84533592,70970930,70970931,58255527,58255526,70971061,70971002,58255437,58255436,58255442,46888579,37009703,28511095,21290888,21290889,21741508,15691036,10862446,10862445,15691034,15325343,10584902,6982560,4387266,4387265,6982557,10584895,15325326,21291014,23961597,17612817,17612816,23961592,31455753,28511167,28511168,37009786,37009697,37009698,37010163,37010161,37009617,255823612,15325229,15325228,255394457,28511412,21291088,21291089,28511414,28511019,21290830,21290831,21290883,21290951,28511194,28511434,28511380,28511379,37010054,46888935,58255829,46889006,37010120,28511443,28511442,30539133,30539134,39138293,49068682,49068711,49068712,49898278,61378714,55366792,49068785,49068786,49068725,39138328,30539154,23120208,23120209,30539156,39138330,49068727,60472172,73218737,73218743,60472178,49068729,269366587,47730029,59128590,71866919,85451835,84533853,70971333,58255923,46889040,46889039,58255921,257589103,49068697,49068696,60472140,54678490,43936013,34662222,34662221,43936010,35144562,27059289,20165711,20165710,27059287,268828939,55366781,66934815,54678477,54678476,66934812,60472230,60472229,70971310,66934804,54678471,43935998,34662215,26669468,26669469,34662218,43936006,49068797,3913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91090,59577414,72312071,85905715,99861616,113880791,112957389,98968096,86433017,72838564,72312297,59577587,59577585,72312293,85905932,86503248,85905743,85905744,85905811,72312151,59577473,59577474,72312154,85905812,85905748,72312157,59577475,269811471,72312134,85905789,259451923,100987269,100987271,99861786,99861784,99861780,86433048,86432994,86432995,86198877,85905820,77411591,258066240,72439774,72439773,86037927,72838607,60102039,48706530,48706529,60102037,72838605,86433055,100388396,259317490,259895240,72312067,258277598,86037911,100000359,114026990,100000382,86037947,72439789,72439790,269878738,72439775,256538508,48316734,59703597,72439742,72439741,86037897,98968144,85043112,71471241,71471242,59703573,59703572,257668896,97691016,97691017,111609577,112231367,107412239,93004196,86927249,86927247,93004216,78894396,78894395,93004212,107412258,106158291,106158290,97691051,97691049,111609606,260102024,114959931,100907438,86927240,86927241,99357225,85414112,85414111,99357221,113359075,119683124,105444304,91221855,77301778,64153230,52301413,52301412,64153225,64153232,64153233,71435637,85008782,97691025,83833219,70308067,57617413,57617412,70308064,83833213,97691023,111609580,97691089,97691091,111609571,106158312,91959931,78032447,64834866,52909887,42500328,42500326,52909878,64834847,57617417,57617416,70308072,70795128,58077770,269772701,84353727,98261108,112238940,112238776,98260862,84353447,84353448,98260864,112238779,125408601,138732148,259277554,120361002,106158275,91959893,258428625,64834844,78032420,91959895,97691107,83833277,70308097,57617429,46272902,46272900,57617426,70308090,83833264,97691086,111609639,111609652,111609651,98260898,98260899,98261097,91959937,78032450,78032449,91959934,95635185,81602271,255875074,55717225,68113524,70794880,84353472,98260883,99446386,85504838,71919521,71919522,84353433,84353435,70795130,58077771,47765212,37842539,29275806,29275807,37842543,47765221,42127093,42127092,52481847,44810737,44810739,46714345,55717238,55717237,68113543,58077529,46705387,46705388,37842134,37842135,42869560,36822849,36822850,46705615,46705622,55717201,58077412,46705309,46705310,58077415,70794730,58077515,256370404,59182635,55717196,256912612,27260964,27260965,33054282,33054283,40053730,40053729,50073591,46705293,42265993,36822619,28335152,21123179,21123178,28327022,25819292,21117197,15170789,10463066,10463065,15170784,21117188,23598452,21962845,21962847,29289403,37858235,30536338,23117645,16858179,16858178,23117639,30536328,29048622,29048624,29290227,21963461,15869682,10999128,7281029,7281031,10999135,15869692,255876285,37859247,47783251,59182694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9801407, s2 = 13391431, dlinesl.size( ) = 2 s1 = 9801407, s2 = 13391431, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9801407, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 14045130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13819805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14680261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13316997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163908, s2 = 13712888, int(edited[s2]) = 0 s1 = 11163908, s2 = 13712888, d1 = 1, d2 = 1 Dl.O(d1) = 50498102,61989818,61989819,74786097,70567236,70567230,70567231,84103714,84103783,84103785,97977909,88417704,88417703,88417697,88417696,102418123,111915767,116513553,116153118,102096013,88417709,74786104,61989824,61989825,74786106,88417712,102418131,116153119,102096022,102096021,102100828,102100827,88114145,74502827,61721494,50242649,40222504,31536264,24033702,24033703,31536266,40222508,40217427,31531655,31531656,40217429,50237616,61716546,74497852,74502835,74502834,88109386,74497859,74497774,61716476,50237540,40217334,40217335,50237541,40217341,40217340,31531659,24029573,17679041,17679040,24029571,24029518,17679003,17679004,24029520,31531598,24029578,24029577,24029565,24029566,31531649,40217421,50237567,40217363,256030537,24029514,31531593,40217366,40217407,256030551,12502472,8469166,5474372,3368683,3368684,5474373,8469165,12502470,17679027,17679028,24029554,31531628,24029547,24029529,24029528,31531604,40217374,50237573,61716505,269877959,61716533,72913714,257666915,40217416,31531644,24029562,17679034,17679035,24029563,31531646,40217419,50237608,50237586,40217390,40217391,50237589,61716517,72913715,86145730,72547305,72547288,59812109,59812110,72547290,86145721,72913722,258671974,47018322,47018321,58389526,71106213,71106214,67645404,55306469,55306468,47018299,47018300,47018324,47018277,37130783,28618947,21382331,15399678,15399681,255830461,37130792,47018286,58389489,71106173,84669418,98592794,84669433,84669434,98592804,95648226,91259258,77339590,64192529,64192530,77339591,91259260,91259276,105481504,108611972,108611973,122876423,122876427,108611977,108611978,115857149,101811074,87837388,87837389,101811075,109851226,95648222,81615221,81615220,95648219,109851222,123989844,126454676,112586309,112586308,109851203,109851202,260689980,259512188,81615207,95648200,109851194,123989822,119720675,119720676,133595028,143086292,133595029,129710985,115812389,115812388,129710941,115812393,101766563,101766564,115812330,270382636,115812336,101766546,87794138,87794139,101766547,98273172,84364594,70805945,70805946,84364597,270363184,258850534,257641960,74190364,61411310,61411311,74190366,87794080,95170076,100111771,114145397,126108785,126108761,126108762,116338196,102242785,88244104,74613723,61821888,61821889,61716488,50237554,40217353,40217354,50237555,61716490,61716480,50237548,50237547,57631369,54579736,255990456,26574987,20811144,14915281,14915280,14162879,14162880,19772932,26574980,34561691,43834553,36433532,36433533,28040946,20872981,14970843,10302995,10302996,11843079,7914738,7914739,6771832,4244464,4244463,6771829,10299141,14966803,15588325,10783609,10783610,13319657,13319658,13319676,9099808,5953820,5953821,9099811,13319681,18713031,254643672,33010778,25285833,25285832,33010774,36504820,28041453,20873511,17980122,12742590,8659623,5633184,3500806,3500805,5633178,8659612,12033528,12033527,10021770,10021771,14564149,12641527,8583492,8583494,12641532,9421129,9421130,13749771,19243949,25904885,21664094,15628487,15628486,21218182,15249416,10520170,6937873,4359772,2612332,2612331,3741678,3741677,5983808,9144059,13378405,18783827,25367543,22562316,16382836,254322878,29921645,23301750,23301751,21218164,21218165,28444170,36943829,257393248,30157429,30157430,38740019,48661409,258168771,257403986,58187934,70900907,257011842,268969262,58187926,58187925,55196682,55196683,67540747,81010683,74786094,74786095,70900902,61632240,50149615,50149614,61632239,74412347,88020031,98366825,98366826,258200734,129949432,143276402,155820830,148400883,135235238,135235239,148400885,160661825,171848563,181813326 Dl.O(d2) = 50498102,61989818,61989819,74786097,70567236,70567230,70567231,84103714,84103783,84103785,97977909,88417704,88417703,88417697,88417696,102418123,111915767,116513553,116153118,102096013,88417709,74786104,61989824,61989825,74786106,88417712,102418131,116153119,102096022,102096021,102100828,102100827,88114145,74502827,61721494,50242649,40222504,31536264,24033702,24033703,31536266,40222508,40217427,31531655,31531656,40217429,50237616,61716546,74497852,74502835,74502834,88109386,74497859,74497774,61716476,50237540,40217334,40217335,50237541,40217341,40217340,31531659,24029573,17679041,17679040,24029571,24029518,17679003,17679004,24029520,31531598,24029578,24029577,24029565,24029566,31531649,40217421,50237567,40217363,256030537,24029514,31531593,40217366,40217407,256030551,12502472,8469166,5474372,3368683,3368684,5474373,8469165,12502470,17679027,17679028,24029554,31531628,24029547,24029529,24029528,31531604,40217374,50237573,61716505,269877959,61716533,72913714,257666915,40217416,31531644,24029562,17679034,17679035,24029563,31531646,40217419,50237608,50237586,40217390,40217391,50237589,61716517,72913715,86145730,72547305,72547288,59812109,59812110,72547290,86145721,72913722,258671974,47018322,47018321,58389526,71106213,71106214,67645404,55306469,55306468,47018299,47018300,47018324,47018277,37130783,28618947,21382331,15399678,15399681,255830461,37130792,47018286,58389489,71106173,84669418,98592794,84669433,84669434,98592804,95648226,91259258,77339590,64192529,64192530,77339591,91259260,91259276,105481504,108611972,108611973,122876423,122876427,108611977,108611978,115857149,101811074,87837388,87837389,101811075,109851226,95648222,81615221,81615220,95648219,109851222,123989844,126454676,112586309,112586308,109851203,109851202,260689980,259512188,81615207,95648200,109851194,123989822,119720675,119720676,133595028,143086292,133595029,129710985,115812389,115812388,129710941,115812393,101766563,101766564,115812330,270382636,115812336,101766546,87794138,87794139,101766547,98273172,84364594,70805945,70805946,84364597,270363184,258850534,257641960,74190364,61411310,61411311,74190366,87794080,95170076,100111771,114145397,126108785,126108761,126108762,116338196,102242785,88244104,74613723,61821888,61821889,61716488,50237554,40217353,40217354,50237555,61716490,61716480,50237548,50237547,57631369,54579736,255990456,26574987,20811144,14915281,14915280,14162879,14162880,19772932,26574980,34561691,43834553,36433532,36433533,28040946,20872981,14970843,10302995,10302996,11843079,7914738,7914739,6771832,4244464,4244463,6771829,10299141,14966803,15588325,10783609,10783610,13319657,13319658,13319676,9099808,5953820,5953821,9099811,13319681,18713031,254643672,33010778,25285833,25285832,33010774,36504820,28041453,20873511,17980122,12742590,8659623,5633184,3500806,3500805,5633178,8659612,12033528,12033527,10021770,10021771,14564149,12641527,8583492,8583494,12641532,9421129,9421130,13749771,19243949,25904885,21664094,15628487,15628486,21218182,15249416,10520170,6937873,4359772,2612332,2612331,3741678,3741677,5983808,9144059,13378405,18783827,25367543,22562316,16382836,254322878,29921645,23301750,23301751,21218164,21218165,28444170,36943829,257393248,30157429,30157430,38740019,48661409,258168771,257403986,58187934,70900907,257011842,268969262,58187926,58187925,55196682,55196683,67540747,81010683,74786094,74786095,70900902,61632240,50149615,50149614,61632239,74412347,88020031,98366825,98366826,258200734,129949432,143276402,155820830,148400883,135235238,135235239,148400885,160661825,171848563,181813326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163908, s2 = 13712888, dlinesl.size( ) = 2 s1 = 11163908, s2 = 13712888, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11163908, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16041409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8338105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9106268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9323, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6787764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 79228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3644933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3644933, s2 = 6674668, int(edited[s2]) = 0 s1 = 3644933, s2 = 6674668, d1 = 6, d2 = 0 Dl.O(d1) = 126348854,126348855,262165111,152449817,156197647,156197648,259795360,126376545,112505262,112505261,272178715,139752687,139752686,143667336,261095198,259915078,74779313,269778098,257683769,74779309,88410752,260154615,130342267,143667333,139752702,126376554,112505269,98510075,84585106,71020993,58305723,46939529,256045246 Dl.O(d2) = 257198960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3644933, s2 = 6674668, dlinesl.size( ) = 2 s1 = 3644933, s2 = 6674668, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3644933, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 7916320, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13261209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11154938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154938, s2 = 14071670, int(edited[s2]) = 0 s1 = 11154938, s2 = 14071670, d1 = 7, d2 = 5 Dl.O(d1) = 22543222,29898651,38455487,48357198,59740661,72475817,85376859,71787291,64777581,59045533,47643889,37721812,29161987,21853492,255866193,255917127,26121715,29898663,256956645,59574027,48187891,38278552,38278549,40396783,40396784,32218367,24625054,24625053,32218365,257719717,257921578,75747878,62794778,51154367,41005103,41005102,51154366,256232038,31097117,30074929,22694531,16492524,11490912,254474798,22694529,30074927,38651104,48566517,59958441,54602789,256886762,34589754,43859959,48573160,38657366,38657367,48573211,48573156,38657281,30080171,22698724,16495700,254743262,7643972,11493035,16495707,22698733,30080178,30080150,30080149,38657257,257134375,50564886,50564887,48573117,38657236,30080131,22698692,16495684,11493028,11493027,16495680,22698688,30080124,256972727,31830932,31830933,40528327,50564885,49794664,268926454,30080173,255419056,16495703,17927641,17927642 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154938, s2 = 14071670, dlinesl.size( ) = 2 s1 = 11154938, s2 = 14071670, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11154938, Dl.E( ) = 8, 1.69e-05 seconds used appending s1 = 9743427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1611828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8366404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8632266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10138205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14073506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14073506, s2 = 13474282, int(edited[s2]) = 0 s1 = 14073506, s2 = 13474282, d1 = 6, d2 = 27 Dl.O(d1) = 255895794,11324810,11324808,11048416,7323521,267888549,4618260,7315991,4623679,4623678,254761009,11030383,12152283,255158809,12177733,8209347,5280243,4489718,4489719,7131616,7131630,7131625,7086049,4461433,2680248,1552570,882716,498098,498099,279355,154176,84472,46170,46171,84474,154180 Dl.O(d2) = 47533927,58915089,71635750,60124750,60124751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 1981962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1981962, s2 = 5386959, int(edited[s2]) = 0 s1 = 1981962, s2 = 5386959, d1 = 2, d2 = 1 Dl.O(d1) = 51309793,41126880,41126881 Dl.O(d2) = 222774446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1981962, s2 = 5386959, dlinesl.size( ) = 2 s1 = 1981962, s2 = 5386959, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1981962, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 10351813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351813, s2 = 7974803, int(edited[s2]) = 0 s1 = 10351813, s2 = 7974803, d1 = 57, d2 = 58 Dl.O(d1) = 5222054,3185594,3185593,5218556,3183370,254179945,597535,333045,183326,267736279,55409,100492,183330,333054,267754551,1863194,254389057,3255485,1912344,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244729,8175147,5464163,3360062,3360061,5464158,5341240,3282964,1930791,1103075,1103074,1930786,3282951,5341216,8278175,8183828,5253429,5253430,4615156,4615154,4966036,4966035,3204765,1876626,1864749,1864748,1864743,1063784,1063782,1864737,3186558,4615196,2779104,1612212,917195,517443,290298,290297,517436,917178,1612173,2779028,4615059,5308674,5308676,5415716,4676179,254583663,1900938,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095946,1918623,3264448,5299139,3252689,1910162,1090747,612409,603566,603567,1074311,1883062,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1661540,2862751,254579885,12149520,255546515,31067458,258860953,101594657,260132407,259760676,94353026,99541546,269172884,257285316,46791579,46791578,57776149,46421957,36558514,28089127,20915517,15009998,15009999,20915519,25685162,257293356,33210722,33210723,42170470,47919208,38003385,29440347,22106975,22106974,29440345,29440344,22106972,15995698,15995697,22106970,255261762,26407395,255664692,9699709,9699711,14102495,10350329,10350328,15022530,17988065,24387686,31920410,40636125,50695424,48209701,38299892,29732283,22374882,22374883,19672739,19672738,26407316,34282193,43380681,38693527,38693529,48609100,57799254,48209716,38299927,29732313,22374893,22374892,29732307,38299923,38693591,30117292,30117293,34282536,43381138,43381313,34282659,34282657,43381309,48609115,38693548,30117262,22735866,16529394,11520077,11520076,16529389,22735853,20930533,15022520,15022521,20930537,28107008,36578980,46444059,57799225,46444048,36578973,36578972,43380676,34282182,26407308,19672732,19672733,26407314,34282187,38693502,38693525,38693524,48609091,48209722,38299903,29732289,29732290,29732302,29732300,38299914,48209730,47064182,47064181,58439861,53904838,53904840,65971179,72737437,60000543,48609185,38693616,30117308,22735884,16529405,11520083,7663195,4848463,4848462,7663192,11520073,16529385,22735860,30117259,38693541,257556393,48609085,57799230,70499979,72737431,259048042,48609168,43381447,43381448,53905195,61409089,61409095,61409100,61409099,257213664,38299896,38299897,48209709,43380666,43380667,53904247,55395137,46444056,46444055,57799233,52642998,42257488,42257489,52643001,64542167,77724060,86335002,72737608,72737609,60052948,48656515,48656513,48609158,38693576,30117281,22735871,22735872,30117283,38693580,38693572,38693571,48609149,48609132,38693557,30117268,30117269,38693563,48609138,41151448,39911508,39911509,39911499,39911498,49930027,61409091,61409102,59596825,59596824,257317747,35170494,27082157,27082156,35170491,44548199,55395134,60000535,48609173,38693602,38693603,255935573,16551954 Dl.O(d2) = 31443053,256529475,256188969,19672862,256188967,43381079,53904786,65970639,53904376,43380777,34282264,26407374,26407373,34282261,43380773,43381157,34282592,26407618,26407619,34282596,40122373,31443067,23951574,17605775,17605774,23951569,31443057,40122355,50143460,42490176,42490175,48768479,38848713,30264884,22868426,22868425,19672854,14102533,14102511,9699721,9699722,14102515,19672820,26407450,34282370,259110989,257015113,30629976,256336288,1776546,1776547,1658005,943383,943379,570839,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1776337,3049101,5035891,7921015,254898931,8872208,8872209,5784462,5784463,254883185,5717337,3559183,2120632,1222790,690919,385869,212451,117507,64381,35500,35494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351813, s2 = 7974803, dlinesl.size( ) = 2 s1 = 10351813, s2 = 7974803, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10351813, Dl.E( ) = 62, 2.29e-05 seconds used appending s1 = 9751309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8596106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8596106, s2 = 12277536, int(edited[s2]) = 0 s1 = 8596106, s2 = 12277536, d1 = 0, d2 = 0 Dl.O(d1) = 142370479,155017993,144536004,131314992,131314993,141638439,141638440,140566874,127221440,127221441,128287976,114411883,100388821,272375612,113363260,115784003,115784002,129680581,129680580,129680579,122932546,108668341,260377863,108668339,94381264,94381263,94381265,259340160,66898443,72595342,59857731,59857730,72595341,72595337,59857728,48466833,38554213,38554214,48466835,59857732,72595344,72595336,72595335,80326097,88159600,74545046,61761678,50282204,40261382,31574407,24068941,17713014,12529982,12529981,17713012,256033711,33683916,25877552,19218339,17828268,254680242,22606543,22606544,25522447,18913020,13482071,9223368,9223369,13482074,18913023,256133031,31830862,31830861,31830876,24312917,17927592,12702567,8630126,8630124,12702565,17927588,24312911,31830865,268303852,49290605,47895035,37977685,29414696,29414695,28934320,22543508,16367987,16367989,22543514,29899035,38455876,48357635,257283826,40397137,31705114,24197507,24197506,21678912,15639624,10822639,10822640,11841712,7913905,254814971,16920137,23186061,23186064,23186063,30605151,39201531,49128666,60529160,60529184,60529163,49128670,39201534,39201535,49128671,39201539,30605157,30605158,39201541,49128674,60347826,257581290,49128672,51509161,49128669,49128657,39201520,30605142,30605143,39201522,39201537,41293294,256840468,39201579,30605182,256468465,41293311,51509154,51509220,41293400,41293401,51509160,41293325,41293324,51509157,41293373,41293374,41293398,51509217,46392861,36532311,36532310,41293395,32452678,32452679,41293290,32452589,32452590,41293293,39201538,254943502,32452616,32452617,32452581,24816477,18326270,18326271,24816479,24816545,18326317,13009004,13009005,18326318,24816548,32452681,24816541,18326315,13009003,8856797,8856796,13008988,18326287,24816503,32452621,24816508,24816509,32452628,32452690,41293369,32452654,32452653,32452587,24816485,255231101,13008980,18326275,24816487,24816556,18326323,13009008,8856799,5772603,3596018,2144485,2144484,254432711,254897897,18326309,269047761,32452689,32452663,32452661,41293305,32452598,24816494,18326281,13008985,8856784,8856783,13008983,13008989,18326289,256086477,257738929,51509213,41293390,32452674,256162776,41293348,32452634,24816513,18326294,255628233,32452636,41293351,51509180,63220874,51509139,256598851,24816489,18326277,18326276,13008998,13008997,255628235,268719917,32452645,24816518,24816517,256598859,51509186,63220911,76234330,257738935,51509197,51509204,41293375,41293376,51509206,51509136,41293297,41293298,41293356,256086481,24816515,32452639,269047759,63220906,76234326,90041063,104168812,118325315,118325312,104168808,90041055,90041056,259612945,76451865,257745073,51664513,63407872,258985837,102147270,88156648,74541977,74541978,88156649,102147273,259704790,259704788,258447116,104168816,90282174,76451841,76451840,86964778,76451866,76234313,63220888,258352551,259606239,258447118,258979181,102147276,88156654,74541980,61758261,61758262,74541981,88156655,102147278,104433698,90282175,258985835,257745071,51664506,51664503,41422561,41422560,51664501,63407858,76451849,90282181,104433706,118618281,118618277,104433711,90282194,90282193,270484687,63407850,269959255,88156639,259261365,70513920,259261363,270484689,51664517,41422571,32562784,24911102,24911101,32562782,257157445,63407869,76451862,90282190,260229489,104433704,118618279,259880352,104437449,104437450,104437452,270793266,260140219,88156678,74542010,61758299,50278392,40257262,40257264,50278394,61758302,74542013,258986265,102147262,88156635,88156636,76457097,63413710,63413709,63413692,269298262,256820406,256605057,32569227,256605063,31569682,31569683,40257189,50278327,50278322,50278323,40257266,31569768,24064177,17708789,12526693,8488376,8488379,12526699,17708798,24064202,31569815,31569943,24064302,24064303,24916353,18409847,18409846,24916351,31077241,23593947,17281727,12160610,8190749,8190750,12160612,17281729,23593952,31077250,24911138,24882377,24882378,24882543,24882541,18384316,18384315,255630987,18384263,18384264,24882663,18384319,13058479,8898299,8898300,13058481,18384383,13058507,13058506,18384402,24882769,24882365,18384026,18384027,24882366,32525981,24882701,18384318,13058434,8898267,8898265,8898479,5806606,3621791,3621789,3621702,2162695,1251240,711210,401360,401363,711219,254199771,3621737,5806501,8898330,8908726,268134465,24882723,24882722,32526282,41375524,257155029,32526307,24882750,24882699,24882698,24883126,24883125,24882496,18384153,18384148,13058290,13058289,18384146,24882484,32526040,32562701,32526051,24882497,24882493,24882494,268722837,41422692,32562877,32562876,257157455,32569094,32569093,32562774,32526044,24882487,24882488,32526037,257742531,41422790,32562967,32562966,41422518,257157439,63323892,63323893,51664460,51664461,51671081,51600261,51600262,63323891,51664471,41422519,41422520,51664473,257157435,41422508,51600481,256602239,32526308,256604489,51664464,63324035,63324034,270481053,73501428,60752454,60752453,63323929,51600552,41375591,32526341,32526342,32569257,32569258,41429452,49349577,39420046,39420047,49349580,60752456,60752455,258358945,51664491,51664490,63407843,60752481,60752480,60752476,49349555,49349556,51670628,63324099,51600558,41375594,41375595,51600540,63324087,76355388,78430284,78430283,92466563,259610416,270472535,63129604,258975103,76815310,76815311,90683697,92466561,78430279,78430278,92466557,106772283,121026103,118520188,104336184,104336183,92466565,78430286,65148204,53163706,42713941,33683901,33683902,42713943,53163710,65148209,78430289,76815313,63714308,258369417,78430277,259699493,259623435,76815317,63714311,63714310,74565140,88179587,102169891,102169889,88179583,258281035,61781981,74565125,88179584,74565142,61782007,50302695,256541551,24094453,17736351,17736352,17736358,17736359,24094470,25019697,18489518,18489519,25019699,32703715,41607184,51907445,61782023,61782050,61782045,61782042,64532318,61781977,50302669,50302668,61781973,50302749,40282476,31598152,24094465,17736356,17736355,24094461,31598146,40282465,50302661,50302663,61781969,59975910,59975909,61781978,257235762,32336621,32336622,40282441,31598131,25019703,18489521,13135748,8952471,8952470,13135745,12549240,12549239,17736343,24094439,31598118,269002101,31598116,31598115,31598088,24094414,24094413,31598086,40282395,31598125,24094445,24094444,31598123,40282425,40282426,50302686,258281037,61781987,257088997,40282422,50302681,61781952,50302679,50302680,258281031,40282393,40282392,50302642,61781944,74565105,61781939,61781938,74565104,88179576,77730946,64548668,64548667,257259352,52649392,42263582,33283791,25523615,18914269,18914270,25523619,33283798,42263593,52649405,64548683,77730960,91658624,91658616,91658617,105866720,105866726,105866727,105866721,100011532,86048132,86048131,78054894,64857532,268762378,42260732,33281018,255694138,52646389,64545577,77727702,91655232,105863084,270024970,64789192,64545573,52870555,52870556,64789181,53725631,53725632,65782117,79136609,91906693,106101515,260028971,86309807,72712915,72712914,86309792,87160944,101158955,114301055,100271301,100271302,101075909,101075910,100271308,100271309,260629523,101158951,101158950,272227150,101158952,87160943,87160942,95607951,109811093,109811097,123948518,109811085,95607938,81573985,81573984,81574007,81574006,258551957,258551955,44777381,35352741,35352742,44777384,257931077,259180645,95607959,81574005,68084053,55685624,55685623,68084051,81574001,95607936,95607926,81573957,68084020,257330611,35352740,27229704,27229703,35352738,44777378,257931073,81573979,259806841,81573965,68084026,55685602,44777363,44777364,55685595,268836697,27229678,27229677,27229680,27229679,35352717,44777351,42983269,42983268,44777325,256237255,27229654,35352693,256237269,256237265,27229690,35352729,257330613,55685574,44777332,35352697,35352696,44777330,35352732,35352731,44777369,44777354,256237259,20300631,20300632,20300615,20300613,27229657,35352698,255759951,255342105,10024703,6588603,4127800,2469208,2469207,4127798,6588599,10024707,14568251,20300626,20300590,20300591,27229639,35352684,35352748,44777391,44777374,44777375,55685578,44777389,257330615,35352751,256763743,55685631,68084059,68084030,55685608,44777371,44777372,55685610,68083982,55685562,55685561,258551948,258501482,94364773,81573971,68084031,68084032,81573973,257882252,81573974,95607933,88409567,88409568,269612914,80308151,74778086,61981883,50489887,40454105,31759785,24247966,24247967,31759787,40454108,50489892,257283824,81573962,258501474,87834002,80308157,66878560,66878559,259130542,55685601,44777359,35352722,27229685,27229686,35352724,44777362,43878320,43878319,257884687,258504011,94364771,80308158,66878562,54620709,43878363,34607695,26619561,19810040,14189870,9754581,6413721,6413720,9754579,14189867,19810035,19810529,14190185,14190186,19810108,14189918,14189919,268329777,26619538,256199629,19810021,268329775,19810043,14190187,9754778,6413853,4023581,2410803,2410802,254465785,2410758,1394895,793250,254151831,254312973,2410755,4023501,254312987,1394952,793291,267743195,252798,449247,793289,793266,449225,254115895,449238,449239,254151837,793282,449249,252800,139634,76249,41410,22834,22833,41409,76248,139632,252768,252773,254115893,254083561,139628,252793,449242,449228,449229,449209,449208,793244,1394882,2410746,4023486,6413706,9754561,14189850,19810015,19810013,14189849,14189848,19810012,256199625,26620258,26620259,26619522,256199727,19810554,19810553,26620287,34608658,43879466,257884807,54620672,54620671 Dl.O(d2) = 142370479,155017993,144536004,131314992,131314993,141638439,141638440,140566874,127221440,127221441,128287976,114411883,100388821,272375612,113363260,115784003,115784002,129680581,129680580,129680579,122932546,108668341,260377863,108668339,94381264,94381263,94381265,259340160,66898443,72595342,59857731,59857730,72595341,72595337,59857728,48466833,38554213,38554214,48466835,59857732,72595344,72595336,72595335,80326097,88159600,74545046,61761678,50282204,40261382,31574407,24068941,17713014,12529982,12529981,17713012,256033711,33683916,25877552,19218339,17828268,254680242,22606543,22606544,25522447,18913020,13482071,9223368,9223369,13482074,18913023,256133031,31830862,31830861,31830876,24312917,17927592,12702567,8630126,8630124,12702565,17927588,24312911,31830865,268303852,49290605,47895035,37977685,29414696,29414695,28934320,22543508,16367987,16367989,22543514,29899035,38455876,48357635,257283826,40397137,31705114,24197507,24197506,21678912,15639624,10822639,10822640,11841712,7913905,254814971,16920137,23186061,23186064,23186063,30605151,39201531,49128666,60529160,60529184,60529163,49128670,39201534,39201535,49128671,39201539,30605157,30605158,39201541,49128674,60347826,257581290,49128672,51509161,49128669,49128657,39201520,30605142,30605143,39201522,39201537,41293294,256840468,39201579,30605182,256468465,41293311,51509154,51509220,41293400,41293401,51509160,41293325,41293324,51509157,41293373,41293374,41293398,51509217,46392861,36532311,36532310,41293395,32452678,32452679,41293290,32452589,32452590,41293293,39201538,254943502,32452616,32452617,32452581,24816477,18326270,18326271,24816479,24816545,18326317,13009004,13009005,18326318,24816548,32452681,24816541,18326315,13009003,8856797,8856796,13008988,18326287,24816503,32452621,24816508,24816509,32452628,32452690,41293369,32452654,32452653,32452587,24816485,255231101,13008980,18326275,24816487,24816556,18326323,13009008,8856799,5772603,3596018,2144485,2144484,254432711,254897897,18326309,269047761,32452689,32452663,32452661,41293305,32452598,24816494,18326281,13008985,8856784,8856783,13008983,13008989,18326289,256086477,257738929,51509213,41293390,32452674,256162776,41293348,32452634,24816513,18326294,255628233,32452636,41293351,51509180,63220874,51509139,256598851,24816489,18326277,18326276,13008998,13008997,255628235,268719917,32452645,24816518,24816517,256598859,51509186,63220911,76234330,257738935,51509197,51509204,41293375,41293376,51509206,51509136,41293297,41293298,41293356,256086481,24816515,32452639,269047759,63220906,76234326,90041063,104168812,118325315,118325312,104168808,90041055,90041056,259612945,76451865,257745073,51664513,63407872,258985837,102147270,88156648,74541977,74541978,88156649,102147273,259704790,259704788,258447116,104168816,90282174,76451841,76451840,86964778,76451866,76234313,63220888,258352551,259606239,258447118,258979181,102147276,88156654,74541980,61758261,61758262,74541981,88156655,102147278,104433698,90282175,258985835,257745071,51664506,51664503,41422561,41422560,51664501,63407858,76451849,90282181,104433706,118618281,118618277,104433711,90282194,90282193,270484687,63407850,269959255,88156639,259261365,70513920,259261363,270484689,51664517,41422571,32562784,24911102,24911101,32562782,257157445,63407869,76451862,90282190,260229489,104433704,118618279,259880352,104437449,104437450,104437452,270793266,260140219,88156678,74542010,61758299,50278392,40257262,40257264,50278394,61758302,74542013,258986265,102147262,88156635,88156636,76457097,63413710,63413709,63413692,269298262,256820406,256605057,32569227,256605063,31569682,31569683,40257189,50278327,50278322,50278323,40257266,31569768,24064177,17708789,12526693,8488376,8488379,12526699,17708798,24064202,31569815,31569943,24064302,24064303,24916353,18409847,18409846,24916351,31077241,23593947,17281727,12160610,8190749,8190750,12160612,17281729,23593952,31077250,24911138,24882377,24882378,24882543,24882541,18384316,18384315,255630987,18384263,18384264,24882663,18384319,13058479,8898299,8898300,13058481,18384383,13058507,13058506,18384402,24882769,24882365,18384026,18384027,24882366,32525981,24882701,18384318,13058434,8898267,8898265,8898479,5806606,3621791,3621789,3621702,2162695,1251240,711210,401360,401363,711219,254199771,3621737,5806501,8898330,8908726,268134465,24882723,24882722,32526282,41375524,257155029,32526307,24882750,24882699,24882698,24883126,24883125,24882496,18384153,18384148,13058290,13058289,18384146,24882484,32526040,32562701,32526051,24882497,24882493,24882494,268722837,41422692,32562877,32562876,257157455,32569094,32569093,32562774,32526044,24882487,24882488,32526037,257742531,41422790,32562967,32562966,41422518,257157439,63323892,63323893,51664460,51664461,51671081,51600261,51600262,63323891,51664471,41422519,41422520,51664473,257157435,41422508,51600481,256602239,32526308,256604489,51664464,63324035,63324034,270481053,73501428,60752454,60752453,63323929,51600552,41375591,32526341,32526342,32569257,32569258,41429452,49349577,39420046,39420047,49349580,60752456,60752455,258358945,51664491,51664490,63407843,60752481,60752480,60752476,49349555,49349556,51670628,63324099,51600558,41375594,41375595,51600540,63324087,76355388,78430284,78430283,92466563,259610416,270472535,63129604,258975103,76815310,76815311,90683697,92466561,78430279,78430278,92466557,106772283,121026103,118520188,104336184,104336183,92466565,78430286,65148204,53163706,42713941,33683901,33683902,42713943,53163710,65148209,78430289,76815313,63714308,258369417,78430277,259699493,259623435,76815317,63714311,63714310,74565140,88179587,102169891,102169889,88179583,258281035,61781981,74565125,88179584,74565142,61782007,50302695,256541551,24094453,17736351,17736352,17736358,17736359,24094470,25019697,18489518,18489519,25019699,32703715,41607184,51907445,61782023,61782050,61782045,61782042,64532318,61781977,50302669,50302668,61781973,50302749,40282476,31598152,24094465,17736356,17736355,24094461,31598146,40282465,50302661,50302663,61781969,59975910,59975909,61781978,257235762,32336621,32336622,40282441,31598131,25019703,18489521,13135748,8952471,8952470,13135745,12549240,12549239,17736343,24094439,31598118,269002101,31598116,31598115,31598088,24094414,24094413,31598086,40282395,31598125,24094445,24094444,31598123,40282425,40282426,50302686,258281037,61781987,257088997,40282422,50302681,61781952,50302679,50302680,258281031,40282393,40282392,50302642,61781944,74565105,61781939,61781938,74565104,88179576,77730946,64548668,64548667,257259352,52649392,42263582,33283791,25523615,18914269,18914270,25523619,33283798,42263593,52649405,64548683,77730960,91658624,91658616,91658617,105866720,105866726,105866727,105866721,100011532,86048132,86048131,78054894,64857532,268762378,42260732,33281018,255694138,52646389,64545577,77727702,91655232,105863084,270024970,64789192,64545573,52870555,52870556,64789181,53725631,53725632,65782117,79136609,91906693,106101515,260028971,86309807,72712915,72712914,86309792,87160944,101158955,114301055,100271301,100271302,101075909,101075910,100271308,100271309,260629523,101158951,101158950,272227150,101158952,87160943,87160942,95607951,109811093,109811097,123948518,109811085,95607938,81573985,81573984,81574007,81574006,258551957,258551955,44777381,35352741,35352742,44777384,257931077,259180645,95607959,81574005,68084053,55685624,55685623,68084051,81574001,95607936,95607926,81573957,68084020,257330611,35352740,27229704,27229703,35352738,44777378,257931073,81573979,259806841,81573965,68084026,55685602,44777363,44777364,55685595,268836697,27229678,27229677,27229680,27229679,35352717,44777351,42983269,42983268,44777325,256237255,27229654,35352693,256237269,256237265,27229690,35352729,257330613,55685574,44777332,35352697,35352696,44777330,35352732,35352731,44777369,44777354,256237259,20300631,20300632,20300615,20300613,27229657,35352698,255759951,255342105,10024703,6588603,4127800,2469208,2469207,4127798,6588599,10024707,14568251,20300626,20300590,20300591,27229639,35352684,35352748,44777391,44777374,44777375,55685578,44777389,257330615,35352751,256763743,55685631,68084059,68084030,55685608,44777371,44777372,55685610,68083982,55685562,55685561,258551948,258501482,94364773,81573971,68084031,68084032,81573973,257882252,81573974,95607933,88409567,88409568,269612914,80308151,74778086,61981883,50489887,40454105,31759785,24247966,24247967,31759787,40454108,50489892,257283824,81573962,258501474,87834002,80308157,66878560,66878559,259130542,55685601,44777359,35352722,27229685,27229686,35352724,44777362,43878320,43878319,257884687,258504011,94364771,80308158,66878562,54620709,43878363,34607695,26619561,19810040,14189870,9754581,6413721,6413720,9754579,14189867,19810035,19810529,14190185,14190186,19810108,14189918,14189919,268329777,26619538,256199629,19810021,268329775,19810043,14190187,9754778,6413853,4023581,2410803,2410802,254465785,2410758,1394895,793250,254151831,254312973,2410755,4023501,254312987,1394952,793291,267743195,252798,449247,793289,793266,449225,254115895,449238,449239,254151837,793282,449249,252800,139634,76249,41410,22834,22833,41409,76248,139632,252768,252773,254115893,254083561,139628,252793,449242,449228,449229,449209,449208,793244,1394882,2410746,4023486,6413706,9754561,14189850,19810015,19810013,14189849,14189848,19810012,256199625,26620258,26620259,26619522,256199727,19810554,19810553,26620287,34608658,43879466,257884807,54620672,54620671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8596106, s2 = 12277536, dlinesl.size( ) = 2 s1 = 8596106, s2 = 12277536, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8596106, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 8153414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11204188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204188, s2 = 9594649, int(edited[s2]) = 0 s1 = 11204188, s2 = 9594649, d1 = 1, d2 = 1 Dl.O(d1) = 118540599,259157938,76368849,63336374,51612203,41386109,32535558,24890426,18390363,13062732,255233803,24890427,32535561,41386114 Dl.O(d2) = 118540599,259157938,76368849,63336374,51612203,41386109,32535558,24890426,18390363,13062732,255233803,24890427,32535561,41386114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204188, s2 = 9594649, dlinesl.size( ) = 2 s1 = 11204188, s2 = 9594649, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11204188, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14057382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11166654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166654, s2 = 15194166, int(edited[s2]) = 0 s1 = 11166654, s2 = 15194166, d1 = 25, d2 = 23 Dl.O(d1) = 61605428,50125490,50125488,51670596,41429068,41429069,51670677,60498618,73245554,63324076,63324077,63129718,51432090,51432091,63129724,73501422,87120204,87120203,76355288,63323924,51600309,51600307 Dl.O(d2) = 46873703,46873702,58241266,52818329,42416761,42416762,42416766,42416767,52818330,48340645,38437004,29878158,29878159,25658021,19039222,13590687,13590686,19039220,256143635,13590787,13590786,19039293,25658112,33425907,25657782,19039026,13590555,13590556,19039027,25657784,33426029,33425964,33425965,42416660,52818235,50212598,40190532,31505340,31505339,40190530,50212597,49782216,39762925,38085694,38085695,39762924,39762923,42416656,50212623,40190555,31505357,24006423,17660788,12488803,12488802,17660785,24006419,31505346,40190542,50212610,61694551,74040701,77924843,86564256,72965876,72965877,86564258,87643983,74040697,61260999,49782206,39762914,31084721,23600764,17288214,12167149,8198655,8198656,12167151,17288216,23600771,24015365,31516649,38912794,38912795,48833701,60228333,60228334,72965852,77234567,64090167,61707016,50225619,40203403,31516653,24015367,17667271,12493155,268370460,40203404,268196152,74489803,65765164,53708266,43196586,34110331,26246398,19529056,19529057,26246400,31516642,31516641,254704026,25657702,33425918,41905433,41905434,52242714,53708243,43196574,43196573,53708241,65765148,64090170,64090169,77234571,87062531,73445025,73445026,61707009,61707010,74489798,88101964,100784340,86803672,73191738,73191739,86803674,74489801,61707015,50225617,256806480,50225613,40203398,31516644,31516645,40203401,50225603,50225602,57639958,70330072,62535934,50932406,50932407,62535936,58241282,46873719,46873718,58241277,70957962,60697150,49295743,39368326,39368325,49295740,60697145,65765159,53708257,53708256,65765158,255357912,52242710,41905428,41905429,40203392,31516639,31516640,40203393,50225606,61707006,74489793,67805390,61395846,49915619,39895882,31219172,31219171,256365542,61395840,74176302,87781064,81563228,68073309,55674387,44765093,44765094,55674390,60686284,60686283,73434121,65996018,269146719,26422962,26422963,34299809,43400421,51343167,41158169,41158170,51343169,53256890,53256891,65246462,70732008,58016898,58016897,53256875,257508930,38196282,36758010,36758011,46643465,46643479,58016913,70732002,58016892,53926300,53926299,48335138,38430480,38430481,48335142,53256842,42803952,42803950,53256840,53256887,42803991,33771900,25962476,25962475,26422954,19685967,256190085,28262858,36758022,46643477,58016909,70732021,58651849,47260056,37350609,28812102,21544265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166654, s2 = 15194166, dlinesl.size( ) = 2 s1 = 11166654, s2 = 15194166, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11166654, Dl.E( ) = 40, 1.81e-05 seconds used appending s1 = 14047277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047277, s2 = 10248394, int(edited[s2]) = 0 s1 = 14047277, s2 = 10248394, d1 = 11, d2 = 23 Dl.O(d1) = 33631259 Dl.O(d2) = 54702759,54702760,49120331,42626202,33601662,33601663,36482999,30286457,30286456,25196856,18634677,13248794,9037751,5905222,3689834,3689836,5905226,9037758,13248807,18634693,21524048,25196864,32131437,24550659,18114156,12844412,12844413,18114157,21959053,255822239,15314096,10576855,10576856,15314098,21275840,28492669,256850373,58236117,70806151,258026829,46717532,36834862,28338091,21125857,15177190,15177186,15177187,21125854,28338089,36834858,46717526,58089289,70806139,84364804,98273387,112253052,126108948,112253062,112253063,261630331,126108956,112253059,112253058,112253057,260499575,126108959,112253061,98273394,84364812,84364811,259897455,126108954,139480616,152210107,159634872,147278607,147278608,159634876,262262160,262262162,181069952,170958208,159634884,147278612,134060110,120225186,106023407,91828914,77908079,77908078,91828913,106023405,120225182,134060102,147278605,147278593,134060094,134060095,147278595,147278611,159634882,159634888,147278616,134060112,260624474,261201540,159634879,147278609,134060108,120225185,106023407,106023406,120225184,134060105,147278595,147278611,159634882,170958201,262262160,262262162,181069952,170958208,170958180,170958181,181069917,181069916,181069952,170958208,170958180,159634857,147278594,134060094,134060095,147278595,147278611,159634882,159634888,147278616,134060112,260624474,134060103,134060104,147278606,261748538,164098217,164098218,174923105,181069917,170958164,159634844,159634845,170958166,170958173,170958159,159634842,159634841,170958157,164098208,152210106,152210105,164098210,174923096,170958206,159634885,159634886,262262164,272826584,153260772,261748542,165078751,164098209,164098210,174923096,181069949,181069945,170958197,159634879,159634877,170958203,181069932,170958183,170958182,181069931,189938649,262738444,170958210,273133942,181069931,189938649,262738444,170958210,159634889,147278619,134060114,134060115,147278620,159634890,170958163,170958162,181069915,189938641,197585289,204095857,263173588,181069925,181069926,181069944,181069942,181069914,170958195,159634867,147278601,134060101,134060100,262486237,181069928,170958176,159634854,159634853,170958159,159634842,159634841,170958157,164098208,152210106,152210105,164098210,174923096,181069949,181069945,170958197,159634879,159634878,170958188,170958160,159634843,147278602,260023860,120225182,261988533,170958163,261201538,147278585,147278602,147278603,159634869,153260771,140578841,127233127,127233128,140578844,153260774,165078753,175808664,181069914,170958195,170958194,181069942,181069914,170958195,159634867,147278601,134060101,134060100,262486237,181069928,170958176,170958175,181069926,181069944,181069942,181069914,170958161,159634843,147278602,147278603,159634868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047277, s2 = 10248394, dlinesl.size( ) = 2 s1 = 14047277, s2 = 10248394, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14047277, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 14243633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15897366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2003432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8212491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14549690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14549690, s2 = 6672554, int(edited[s2]) = 0 s1 = 14549690, s2 = 6672554, d1 = 3, d2 = 11 Dl.O(d1) = 47342306 Dl.O(d2) = 257180347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14549690, s2 = 6672554, dlinesl.size( ) = 12 s1 = 8350106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140679, s2 = 10169942, int(edited[s2]) = 0 s1 = 14140679, s2 = 10169942, d1 = 11, d2 = 9 Dl.O(d1) = 223181922,220568449,217495590,213811479,209321348,203847274,197289342,189601409,180704025,170573018,159235670,146862359,133605526,119731730,105493167 Dl.O(d2) = 77350796,270441756,52352674,42013253,33068932,25339045,25339046,257189153,42013254,52352675,64203103,77350797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140679, s2 = 10169942, dlinesl.size( ) = 2 s1 = 14140679, s2 = 10169942, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14140679, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14036854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2016419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2016419, s2 = 9501774, int(edited[s2]) = 0 s1 = 2016419, s2 = 9501774, d1 = 10, d2 = 37 Dl.O(d1) = 52415017 Dl.O(d2) = 98689893,84762773,269403458,37199193,37199194,33060437,268740413,52343003,58472994,63327250,58472996,257441348,47635584,46937721,41378503,35322238,27198573,27198574,21410239,15421693,10670886,8899321,8899320,13059796,15444187,10677633,10677632,15444186,21371059,21371058,28557547,27132674,27132673,21428156,15435427,268207845,28018636,20852282,14951720,14951719,17136373,17136374,22604165,19265617,18906053,13474468,10660875,7056354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2016419, s2 = 9501774, dlinesl.size( ) = 2 s1 = 2016419, s2 = 9501774, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2016419, Dl.E( ) = 122, 3.91e-05 seconds used appending s1 = 15549681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7970727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7970727, s2 = 10990782, int(edited[s2]) = 0 s1 = 7970727, s2 = 10990782, d1 = 1, d2 = 1 Dl.O(d1) = 7792901,7792900,11686017,16713946,11672161,11672162,11672213,7793736,7793737,11687109,15981901,16667523,11633360,11633358,7750209,7750212,11633651,16286050,11676251,9858249,6475779,4058096,4058097,2958466,2958468,4908347,7750353,11633861,11675971,16717813,22954453,24273679,20974046,254552366,23358774,22950878,22950879,29994254,255125396,17093427,12006620,12006619,17093425,23362239,23338791,23338790,30708165,30655355,23234129,16961606,16961607,23234133,23271577,17009363,11923309,11923307,8061956,8061957,12006053,17093012,17093003,17093002,17107428,12021610,12021609,17067564,17067563,16993271,16993272,23256476,23360475,23256506,16993311,11907745,7964754,5067072,5067074,267753794,11910809,267745300,5069084,5067077,5067079,7964765,11907762,11907359,11907361,16993065,23256372,30672355,29793965,22427992,16261121,16261122,18918662,17092994,17092993,17095085,12008426,12008427,12006039,12006040,12018223,8077461,8077460,11907689,11331316,11331317,11990373,11329407,7526219,7526218,11329405,16286959,12018849,254254544,3154664,3154665,5154629,3138436,3138435,5154627,7964756,5067109,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,3058978,5049060,7939157,11876112,254563526,5119560,5113085,5113084,8023929,11977025,15127864,10434104,6878725,6878724,7961436,7932631,7932630,11530452,11530451,11950548,7999594,5092437,3090379,1805074,1805073,1801132,1801130,3085312,3085311,5085911,7990587,11939324,11973843,8019298,5107973,3101288,3101289,5107978,8019332,11950346,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330170,592186,1053168,1845532,3153972,5172188,254379386,11869420,7933436,5044095,5044094,5071667,5071666,7117256,10770656,12017845,12017844,15572174,16957124,16992405,16992404,11906798,11906799,16627622,13403425,254547454,25403978,33144084,40509159,40509160,268473798,58476445,47098242,37202048,31495315,31495316,37202145,28679091,28679090,28679218,37202141,28679087,21430353,15437068,10672045,10672044,15437065,21430276,15437020,10672022,7048666,4436424,4436423,7048663,10672016,15437003,21430249,28678926,256866591,29253704,21932718,15845324,15845325,21932719,29253707,268203016,37202355,28679324,28679323,21932722,15845327,15845326,21430457,15437122,10672076,10672070,15437110,21430438,28679206,28679112,28679114,37202166,29253713,29253715,21932734,15845335,15845336,21932739,29253734,37819006,30820252,23391555,17119675,17119674,23391551,28679150,21430398,21430396,28679143,28679144,37202213,36497325,29353230,29353229,37202199,37202198,40240748,31554621,31554620,40240747,44516469,44516468,255333476,21932750,21932751,29253756,29837584,29837583,37737271,29837586,24050309,17696717,17696716,12516649,12516648,17696816,22423506,17696704,12516571,8479496,5481087,5481086,8479493,12516566,11464638,8479482,5481081,5481082,8479485,12516550,17696673,24050247,24050333,31554455,24050259,256032415,32114169,33974693,26135904,26135905,22424513,16258388,16258387,22424510,29787419,22422520,22422519,24050262,24050419,24050417,29292360,29292359,21965164,21965163,29292367,31554505,24537105,24050297,17696708,17696707,24050293,18539785,13173327,13173328,18539788,21965076,24050289,24050430,17696802,16257549,16257550,17696656,15870446,10999659,10999660,7504613,7504617,8728986,5682760,5682759,8728978,12836654,11303610,7504666,4743753,4743754,7504671,10999868,7281482,7281480,8331569,7281473,7281474,7275074,4588060,2760361,2104098,2104099,3535023,5682796,8729046,12836691,8729012,8653415,5628521,5628522,5606011,3481037,2066167,1185943,1185944,2066174,3481049,5482931,7504245,7504247,4743650,4743652,7504486,11303339,10989989,7275146,7275147,10989992,7504394,4743584,4743585,5682707,267920023,8331629,12333333,17492105,21944955,23830349,23830348,21964400,15870423,10999638,10999639,12689956,254345418,18766848,25348402,255438860,52361633,53622181,43121475,34045995,26191855,19482847,13942311,9569580,6279561,6279562,9569587,13942322,19482867,26191892,31500225,31500223,40055137,40055138,36699311,36699310,31046824,31046823,39725536,49744800,50415314,40380982,31687185,31687184,40380981,46720871,37000094,28502744,21284535,15320869,15320866,21284519,28502718,37000059,46878412,50415293,49848421,48226158,38316671,38316672,44595682,42285196,33305024,29097628,29097629,37646370,29336977,29336979,23654610,23654611,23654598,17337584,12211639,8242461,8242460,12211633,17337569,23654566,30046966,30046965,38620687,39725556,36742862,28246951,28246952,36512346,32741962,25051707,18514910,18514912,24908015,32558777,25051690,25051688,20907708,15002659,10332936,10332934,15002652,14554381,14554382,20284284,27212716,35336945,41686085,41686086,36869154,28372413,21155285,21155284,17732054,12545321,8504370,254412078,3393629,5504789,8504367,11148939,16056871,22183682,24139759,24125624,17763010,17763011,17832469,17745309,12555958,12555957,17745307,17745440,17745441,24103945,31606425,31603569,254611036,24202759,17833209,12627730,8573377,5569259,5569260,8573387,12554377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1977,2441736,4080639,6511808,255441025,7289571,4596783,2765351,1602889,911380,514122,288481,159651,87903,87899,159642,288462,514104,911352,1602851,2765280,4596755,7289499,9007728,11011574,15884990,21980175,29307599,22502355,22502357,22522124,29878716,29307703,22527546,22527547,20188789,16354202,16354205,17322107,12197262,12197261,16339691,11368852,11368856,14431460,9927043,9927047,11464822,7625835,7625837,11464831 Dl.O(d2) = 7792901,7792900,11686017,16713946,11672161,11672162,11672213,7793736,7793737,11687109,15981901,16667523,11633360,11633358,7750209,7750212,11633651,16286050,11676251,9858249,6475779,4058096,4058097,2958466,2958468,4908347,7750353,11633861,11675971,16717813,22954453,24273679,20974046,254552366,23358774,22950878,22950879,29994254,255125396,17093427,12006620,12006619,17093425,23362239,23338791,23338790,30708165,30655355,23234129,16961606,16961607,23234133,23271577,17009363,11923309,11923307,8061956,8061957,12006053,17093012,17093003,17093002,17107428,12021610,12021609,17067564,17067563,16993271,16993272,23256476,23360475,23256506,16993311,11907745,7964754,5067072,5067074,267753794,11910809,267745300,5069084,5067077,5067079,7964765,11907762,11907359,11907361,16993065,23256372,30672355,29793965,22427992,16261121,16261122,18918662,17092994,17092993,17095085,12008426,12008427,12006039,12006040,12018223,8077461,8077460,11907689,11331316,11331317,11990373,11329407,7526219,7526218,11329405,16286959,12018849,254254544,3154664,3154665,5154629,3138436,3138435,5154627,7964756,5067109,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,3058978,5049060,7939157,11876112,254563526,5119560,5113085,5113084,8023929,11977025,15127864,10434104,6878725,6878724,7961436,7932631,7932630,11530452,11530451,11950548,7999594,5092437,3090379,1805074,1805073,1801132,1801130,3085312,3085311,5085911,7990587,11939324,11973843,8019298,5107973,3101288,3101289,5107978,8019332,11950346,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330170,592186,1053168,1845532,3153972,5172188,254379386,11869420,7933436,5044095,5044094,5071667,5071666,7117256,10770656,12017845,12017844,15572174,16957124,16992405,16992404,11906798,11906799,16627622,13403425,254547454,25403978,33144084,40509159,40509160,268473798,58476445,47098242,37202048,31495315,31495316,37202145,28679091,28679090,28679218,37202141,28679087,21430353,15437068,10672045,10672044,15437065,21430276,15437020,10672022,7048666,4436424,4436423,7048663,10672016,15437003,21430249,28678926,256866591,29253704,21932718,15845324,15845325,21932719,29253707,268203016,37202355,28679324,28679323,21932722,15845327,15845326,21430457,15437122,10672076,10672070,15437110,21430438,28679206,28679112,28679114,37202166,29253713,29253715,21932734,15845335,15845336,21932739,29253734,37819006,30820252,23391555,17119675,17119674,23391551,28679150,21430398,21430396,28679143,28679144,37202213,36497325,29353230,29353229,37202199,37202198,40240748,31554621,31554620,40240747,44516469,44516468,255333476,21932750,21932751,29253756,29837584,29837583,37737271,29837586,24050309,17696717,17696716,12516649,12516648,17696816,22423506,17696704,12516571,8479496,5481087,5481086,8479493,12516566,11464638,8479482,5481081,5481082,8479485,12516550,17696673,24050247,24050333,31554455,24050259,256032415,32114169,33974693,26135904,26135905,22424513,16258388,16258387,22424510,29787419,22422520,22422519,24050262,24050419,24050417,29292360,29292359,21965164,21965163,29292367,31554505,24537105,24050297,17696708,17696707,24050293,18539785,13173327,13173328,18539788,21965076,24050289,24050430,17696802,16257549,16257550,17696656,15870446,10999659,10999660,7504613,7504617,8728986,5682760,5682759,8728978,12836654,11303610,7504666,4743753,4743754,7504671,10999868,7281482,7281480,8331569,7281473,7281474,7275074,4588060,2760361,2104098,2104099,3535023,5682796,8729046,12836691,8729012,8653415,5628521,5628522,5606011,3481037,2066167,1185943,1185944,2066174,3481049,5482931,7504245,7504247,4743650,4743652,7504486,11303339,10989989,7275146,7275147,10989992,7504394,4743584,4743585,5682707,267920023,8331629,12333333,17492105,21944955,23830349,23830348,21964400,15870423,10999638,10999639,12689956,254345418,18766848,25348402,255438860,52361633,53622181,43121475,34045995,26191855,19482847,13942311,9569580,6279561,6279562,9569587,13942322,19482867,26191892,31500225,31500223,40055137,40055138,36699311,36699310,31046824,31046823,39725536,49744800,50415314,40380982,31687185,31687184,40380981,46720871,37000094,28502744,21284535,15320869,15320866,21284519,28502718,37000059,46878412,50415293,49848421,48226158,38316671,38316672,44595682,42285196,33305024,29097628,29097629,37646370,29336977,29336979,23654610,23654611,23654598,17337584,12211639,8242461,8242460,12211633,17337569,23654566,30046966,30046965,38620687,39725556,36742862,28246951,28246952,36512346,32741962,25051707,18514910,18514912,24908015,32558777,25051690,25051688,20907708,15002659,10332936,10332934,15002652,14554381,14554382,20284284,27212716,35336945,41686085,41686086,36869154,28372413,21155285,21155284,17732054,12545321,8504370,254412078,3393629,5504789,8504367,11148939,16056871,22183682,24139759,24125624,17763010,17763011,17832469,17745309,12555958,12555957,17745307,17745440,17745441,24103945,31606425,31603569,254611036,24202759,17833209,12627730,8573377,5569259,5569260,8573387,12554377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1977,2441736,4080639,6511808,255441025,7289571,4596783,2765351,1602889,911380,514122,288481,159651,87903,87899,159642,288462,514104,911352,1602851,2765280,4596755,7289499,9007728,11011574,15884990,21980175,29307599,22502355,22502357,22522124,29878716,29307703,22527546,22527547,20188789,16354202,16354205,17322107,12197262,12197261,16339691,11368852,11368856,14431460,9927043,9927047,11464822,7625835,7625837,11464831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7970727, s2 = 10990782, dlinesl.size( ) = 2 s1 = 7970727, s2 = 10990782, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7970727, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 8154476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9400672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9400672, s2 = 11658111, int(edited[s2]) = 0 s1 = 9400672, s2 = 11658111, d1 = 0, d2 = 0 Dl.O(d1) = 259024034,133806420,257192876,105702869,91478321,77546992,64378771,52505039,52505038,64378770,254648016,58530995,47142736,37237568,254112776,21452431,28707044,36985133,28488312,28488311,21404809,254918902,37162991,256122590,256124946,47142727,37237554,28707034,21452425,15453963,10684978,10684979,254443186,28707035,37237555,47142728,44358341,34980805,26901258,20018888,20018889,26901260,28488336,21272241,21272240,28488335,254117120,42184864,36985153,33147899,25407399,25407400,254318454,52454516,255757506,85481814,255357078,59159039,254703500,31192305,31192304,254982218,61376702,74157162,87761421,91517758,77586644,64417685,52543309,42184535,42184536,52543310,60348001,254117102,35177012,254077358,14487017,14338970,14338971,14488342,14337862,9849962,6469722,254073160,1403634,798793,452775,452774,798791,1403631,2426439,254135078,9849951,13424138,13424137,14337848,20018813,26901177,33170631,25428187,25428186,33170630,42126810,52481587,270515813,77516824,91446561,255259934,257196546,256154753,13687466,9373659,9373657,13687462,256154751,33617478,42644580,53094615,65079446,78360068,65236609,65236608,67693535,55353831,55353833,258107185,81159110,95215778,109470040,123662418,137393687,150433494,262579959,174407375,163565820,151685629,272199222,111828144,97895451,84025959,70491468,257481364,36571077,28099828,20924165,20924166,28099830,36571078,46435389,36570831,28099650,28099647,255430552,256359620,84025707,97895226,98132715,84237882,70685155,57967080,46590613,36703821,36703820,271303570,84237907,98132733,112092717,261621951,163852511,174670380,184293430,192713016,199953641,206071789,211129366,215265570,265160395,218676630,221551316,224017925,226156173,265835441,231100353,274625889,234644847,235620246,236509537,266651489,238731807,239348593,239129165,238493330,237799365,237035970,236200751,235284448,234278905,233173568,231950790,265922360,225357186,265283570,217336038,264616796,196876388,263328564,170026663,158668758,146300314,133072354,261414106,90870288,76991898,63881361,52063222,257175276,256620943,256620944,25124280,18572248,13197737,13197739,15395906,21377699,28613340,37124210,34660320,34660319,43933941,54676692,48567104,38651620,30075306,30075307,38651623,38651608,30075298,30075297,38651605,34210143,26336413,19608135,14050369,14050368,19608133,20129925,27021469,35107250,35106283,27020630,27020631,35106287,44483116,44482933,35106169,27020549,20129190,14436880,9930877,9930878,14436883,20129047,14436777,14436776,20129043,20129221,20129222,21377684,21377683,28613321,35105924,35105923,37124203,44482948,35106183,27020562,20129204,14436891,14436889,16492733,11491055,11491057,16492737,22694805,30075311,30075335,30075336,38651652,38652786,48567095,55328683,44482582,35105863,27020303,27020304,35105865,35106280,44482588,44482587,55328684,44482604,35105892,35105893,35106527,27020835,27020834,35106525,44482956,35106187,35106188,44482960,54676694,44482626,35105915,35105914,38651631,30075318,22694810,16492739,16492738,22694807,22694822,16492746,16492745,22694818,30075333,38651647,48567121,257312402,59959071,55328688,44484054,35107145,27021375,27020854,20129441,20129440,20129036,14436770,9930881,9930880,14436887,20129198,27020557,20130291,14437687,14437686,20130287,20129417,20129416,27020580,20129225,14436901,9930888,6526643,6526642,6526722,4089346,2446409,2446408,4089343,6526716,255330499,14437073,20129468,20129481,14437088,14437080,9931028,9931027,14437076,20129473,14437331,9931186,6526843,4089425,2446455,1414476,804763,804764,1414480,2446460,4089429,6526849,9931201,14437014,14437013,20129160,20129309,14436964,9930932,9930934,14436967,20129312,27020694,35106351,44483179,55329091,44482983,44482985,44480961,35104524,27019259,27019258,27020589,20129843,14437335,14437333,20129839,20130248,20130249,20129137,14436844,14436843,20129132,27019474,27019475,20129823,14437317,14437316,20129813,14437310,9931173,6526832,4089416,2446449,2446447,4089413,6526823,9931158,14437284,20129784,27021309,35107080,44483993,55330067,67669762,81136098,81134262,67667725,67667308,55327453,44481337,44481336,55327449,55329094,44482988,44482990,55328077,44482032,256746778,27019264,20128264,14436265,14436264,20128261,256221089,35106113,35106114,257312349,256746757,27020701,20129325,20129327,27020704 Dl.O(d2) = 259024034,133806420,257192876,105702869,91478321,77546992,64378771,52505039,52505038,64378770,254648016,58530995,47142736,37237568,254112776,21452431,28707044,36985133,28488312,28488311,21404809,254918902,37162991,256122590,256124946,47142727,37237554,28707034,21452425,15453963,10684978,10684979,254443186,28707035,37237555,47142728,44358341,34980805,26901258,20018888,20018889,26901260,28488336,21272241,21272240,28488335,254117120,42184864,36985153,33147899,25407399,25407400,254318454,52454516,255757506,85481814,255357078,59159039,254703500,31192305,31192304,254982218,61376702,74157162,87761421,91517758,77586644,64417685,52543309,42184535,42184536,52543310,60348001,254117102,35177012,254077358,14487017,14338970,14338971,14488342,14337862,9849962,6469722,254073160,1403634,798793,452775,452774,798791,1403631,2426439,254135078,9849951,13424138,13424137,14337848,20018813,26901177,33170631,25428187,25428186,33170630,42126810,52481587,270515813,77516824,91446561,255259934,257196546,256154753,13687466,9373659,9373657,13687462,256154751,33617478,42644580,53094615,65079446,78360068,65236609,65236608,67693535,55353831,55353833,258107185,81159110,95215778,109470040,123662418,137393687,150433494,262579959,174407375,163565820,151685629,272199222,111828144,97895451,84025959,70491468,257481364,36571077,28099828,20924165,20924166,28099830,36571078,46435389,36570831,28099650,28099647,255430552,256359620,84025707,97895226,98132715,84237882,70685155,57967080,46590613,36703821,36703820,271303570,84237907,98132733,112092717,261621951,163852511,174670380,184293430,192713016,199953641,206071789,211129366,215265570,265160395,218676630,221551316,224017925,226156173,265835441,231100353,274625889,234644847,235620246,236509537,266651489,238731807,239348593,239129165,238493330,237799365,237035970,236200751,235284448,234278905,233173568,231950790,265922360,225357186,265283570,217336038,264616796,196876388,263328564,170026663,158668758,146300314,133072354,261414106,90870288,76991898,63881361,52063222,257175276,256620943,256620944,25124280,18572248,13197737,13197739,15395906,21377699,28613340,37124210,34660320,34660319,43933941,54676692,48567104,38651620,30075306,30075307,38651623,38651608,30075298,30075297,38651605,34210143,26336413,19608135,14050369,14050368,19608133,20129925,27021469,35107250,35106283,27020630,27020631,35106287,44483116,44482933,35106169,27020549,20129190,14436880,9930877,9930878,14436883,20129047,14436777,14436776,20129043,20129221,20129222,21377684,21377683,28613321,35105924,35105923,37124203,44482948,35106183,27020562,20129204,14436891,14436889,16492733,11491055,11491057,16492737,22694805,30075311,30075335,30075336,38651652,38652786,48567095,55328683,44482582,35105863,27020303,27020304,35105865,35106280,44482588,44482587,55328684,44482604,35105892,35105893,35106527,27020835,27020834,35106525,44482956,35106187,35106188,44482960,54676694,44482626,35105915,35105914,38651631,30075318,22694810,16492739,16492738,22694807,22694822,16492746,16492745,22694818,30075333,38651647,48567121,257312402,59959071,55328688,44484054,35107145,27021375,27020854,20129441,20129440,20129036,14436770,9930881,9930880,14436887,20129198,27020557,20130291,14437687,14437686,20130287,20129417,20129416,27020580,20129225,14436901,9930888,6526643,6526642,6526722,4089346,2446409,2446408,4089343,6526716,255330499,14437073,20129468,20129481,14437088,14437080,9931028,9931027,14437076,20129473,14437331,9931186,6526843,4089425,2446455,1414476,804763,804764,1414480,2446460,4089429,6526849,9931201,14437014,14437013,20129160,20129309,14436964,9930932,9930934,14436967,20129312,27020694,35106351,44483179,55329091,44482983,44482985,44480961,35104524,27019259,27019258,27020589,20129843,14437335,14437333,20129839,20130248,20130249,20129137,14436844,14436843,20129132,27019474,27019475,20129823,14437317,14437316,20129813,14437310,9931173,6526832,4089416,2446449,2446447,4089413,6526823,9931158,14437284,20129784,27021309,35107080,44483993,55330067,67669762,81136098,81134262,67667725,67667308,55327453,44481337,44481336,55327449,55329094,44482988,44482990,55328077,44482032,256746778,27019264,20128264,14436265,14436264,20128261,256221089,35106113,35106114,257312349,256746757,27020701,20129325,20129327,27020704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9400672, s2 = 11658111, dlinesl.size( ) = 2 s1 = 9400672, s2 = 11658111, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9400672, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7936687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7936687, s2 = 14064201, int(edited[s2]) = 0 s1 = 7936687, s2 = 14064201, d1 = 7, d2 = 16 Dl.O(d1) = 7830258,11728593,11728594,15143425,15143426,21082314,23014871,22204144,22204145,29547764,29547770,22204150,22204149,23014694,23014695,30419623,30422203,255511153,12845639,254625579,5687037,8735435,12845643,18115731,255955191,18115715,12845626,8735417,8735416,12845624,12845655,8735447,5687047,3537824,3537823,5687045,8735444,12845618,8735413,5687023,3537812,3537810,5687020,268010473,12845570,12845571,12845580,12845579,18115675,24552494,23016958,255955415,23234189,23014469,16774688,16774687,18115728,12845675,12845674,18115756,24552544,23016942,16776678,16074396,268222651,18115745,24552536,23016919,16776666,12845653,11728174,7829871,4970074,4970076,7829874,11728181,11162180,7403987,7299662,4604295,4604294,7299659,11025357,12845614,12845590,8735397,5687011,3537807,3537808,5687015,8735401,7830945,4970750,3002340,3002341,4970753,7830950,8074964,12016063,255442393,24552546,18115759,18115760,16775095,11728613,11728614,15903682,16775085,12845667,8735454,5687051,3537826,3537825,5687048,5687071,4970368,4970362,4970363,5687059,267920191,12845694,18115773,16776690,16776689,15903697,15903696,22004350,22004343,17075499,14518375,14518371,14518362,14518363,14518368,268177407,11729727,7830943,7830942,7905089,8074961,11162238,11025374,7299672,7299671,11025373,15903712,16544240,16775090,268125921,8735481,5687065,5687064,8735451,12845663,16775124,11728641,7830264,7830263,11728636,16775115,22204154,24297103,17914580,17914579,24297102,29335534,29335533,35235184,27139805,20232351,14518379,9990010,6565779,6565777,9990006,11162257,11162258,16074471,16074432,11162218,7404012,7404013,4677480,4677479,7404035,7944964,5052688,5052690,5079717,5079715,7981444,11884934,11884931,16972463,11896041,11896039,11875545,11875543,11875521,11875517,11877057,7939886,5049692,5049690,7939858,7939860,11877009,7979474,7979473,7986808,5083104,3082967,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590969,1050682,1841183,3147527,267903445,12013432,17099381,254822480,17522353,12356994,8348938,8348937,11894898,11894896,16981362,23246855,29507483,29001834,21716319,21716320,29001835,30071444,22691740,22691739,16490577,15895602,11019166,7294834,4600512,2767906,2767908,4600520,7294844,11019183,15895630,21993868,24182111,24182110,24748201,18274780,12970436,12970437,18274783,24748205,32364754,41180497,256500596,41180487,41180534,32364774,24748214,256081445,41180527,51366499,47819898,37897934,29329392,21999018,15899614,15899613,21999015,29329386,37897924,47819884,59218158,71956564,61199648,49721268,49721267,257417110,50533291,40498015,31802976,24288595,17907141,17907142,24288599,31802981,39702805,39702804,257626191,73977884,87576166,101534100,88455286,74821854,62025109,50533317,50533316,62025107,74821853,258276182,81588950,68099127,55701566,55701565,57700401,57700402,269403528,61199657,61199656,73977871,87576151,97778796,83920480,83920479,97778752,97778753,258276180,83920482,97778729,83920375,70394233,57700231,57700232,46351209,269294883,57700292,46351140,46351139,57700224,57700225,46351067,36493360,28030856,28030857,36493362,46351070,57700234,46351180,36493445,36493444,46351178,46351206,46351205,57700368,64388647,70783126,70394339,68099122,65760278,53703112,44794077,43191403,34105713,34105714,36493354,256534046,44794083,36493425,36493426,257388711,70394286,81588958,68099133,55701570,257388719,36493451,36493452,46351187,44794097,35369490,35369491,44794100,42156846,33197271,33197272,42156848,33197282,25451033,18852848,18852849,25451036,33197285,42156867,256966422,53703109,53703110,64388649,77556760,91487499,105711250,91487523,77556786,64388675,64388677,77556789,78682892,71520751,58791165,47403688,47403689,58791168,53703080,43191379,43191378,53703076,65760226,79116539,81588957,78682902,78682901,92746164,100526556,100526557,114557369,105711261,105711260,113006756,260022742,105711248,105711247,259730837,65760232,65760231,79116543,93233525,99018322,113006749,99018327,85093065,71520831,71520832,85093066,86872873,73260399,73260398,256740484,99018326,113006753,100526569,86565187,258377274,112949706,98960664,85035741,71463851,58734127,47346348,41956398,33014060,33014059,37495987,28953390,21673049,255048065,7150759,4503125,4503124,7150757,10820001,15635585,21673045,28953383,256886841,58791238,71520840,85035704,85035705,71520757,71107824,58390989,47019678,37132103,37132104,28898902,28898903,37439278,47346372,47403739,37495976,37495977,47403743,47403710,47403709,58791201,52297425,41956403,37495949,37495950,37495962,28953376,21673038,15635580,10819997,7150754,7150753,10819995,15635573,21673029,28898898,268618679,47346361,58734146,258697049,98960690,98960698,257645634,47346367,58734154,71463885,257466989,47403747,58791245,71520851,85093083,85092966,71520714,58791196,257063002,71520700,58791119,58791120,71520701,257645630,99018240,85092952,258077697,58791122,71520703,85092955,99018243,98960701,98960700,112949726,260116362,272260610,98960696,85035769,71463881,58734152,58734150,71463878,85035767,98960694,112949721,112949720,126803634,113006719,99018275,259946781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Dl.O(d2) = 59226265,71964327,85551958,99498808,113510297,127380436,140624269,137683638,124002602,124002603,127278481,127278480,140169559,126819798,113024361,99035956,85110891,85110892,99035961,100870344,100870345,114920865,128818124,136284833,140624194,140624195,140224416,139328437,125976266,125976267,139328442,136285064,136285066,139328585,140226094,140226097,152916420,153304292,153304293,162616374,162616375,165116774,153303889,153303362,140623593,140623500,127277797,127277798,138898028,127278569,113419928,99418409,85477326,71892859,59155172,47756448,37833855,37833854,47756436,59155069,71892666,85477023,95660487,81627474,68137614,55739731,55739728,68137604,81627453,95660446,109863907,124002388,126877051,113024417,99035982,99035979,113024406,126877038,130375641,124002255,124002256,113114602,99124339,99124340,113114585,109538369,109538357,95283706,95283708,109538361,123729916,127277883,113419397,113419398,127277891,127278804,113420113,99418556,85477455,71892987,71892986,85477447,99418538,113420086,127278758,140624543,138898934,138898937,151599743,138898973,128818114,128818115,128818107,128818106,136285012,136285009,136285306,130043036,122308703,122308704,136285501,149550881,140228504,126880477,126880478,140228512,137684332,124003194,109864460,109864459,124003189,127277979,139901158,139901157,138897267,138897264,138897272,138897271,126537852,126537850,139901131,147020067,147020068,159400957,170748552,165116249,261695331,127277618,127277617,140623318,153302768,152859222,152859221,154806644,142172747,128818153,114920888,114920887,114920879,100870360,100870361,114920883,259590294,260530946,111757402,123730083,111757366,97833028,97833030,111757374,111756656,97832496,83971655,70444263,57749162,46398365,46398367,57749167,70444270,70444292,70444291,83971695,97832560,111756728,125564465,138897175,140736427,137683808,137683806,137684204,124003083,109864398,95660761,81627618,81627619,95660768,109864410,99038883,95660784,81627628,74025241,74025238,87629144,101596244,115636718,115636802,115636805,113510421,99498916,85552031,71964387,59226298,47828337,37906554,37906553,47828330,59226265,71964327,85551958,99498808,113510297,127380437,126880323,124002596,109864059,109864058,124002590,113024016,99035745,85113460,71541991,71541989,85113451,259948181,126880296,140228286,152914442,163900156,259930002,143588226,130260060,130260059,143588225,143374754,258683946,165117012,153418060,140736559,127380490,113510363,99498870,85552004,71964362,59226285,47828334,37906554,37906553,47828330,59226262,71964321,85551946,99498787,109864148,109864150,109864076,95660592,95660547,95283794,95283793,109538463,123730039,136285177,137683867,124002811,259473400,137457627,123730027,109538450,95283778,81226242,258225986,67760164,64347546,64347545,77513092,91442950,105666385,119902482,105666400,91442958,77513099,258401381,64347541,77513082,91442922,105666359,95283758,81226228,67760143,55420182,55420180,67760142,81226224,95283756,95660701,109864310,271172183,81226240,87858710,81144118,67760160,67760161,81226254,95283787,95283979,86003003,72406825,61476342,258256541,59671518,49446186,39514592,39514594,49446189,60847957,73597699,81226271,72406829,72406830,81226270,95283760,258401376,67760145,77513038,77513037,67760154,55420188,268829995,27105627,27105628,35194921,44573059,55420190,67760156,257319683,35195059,35195058,44573204,52477409,42122351,42122353,52477412,64347557,77512940,67760195,257319651,35194938,256753805,35194869,35194868,35195085,35194842,27105561,20205297,20205298,24052472,17698614,254298948,31556763,40242771,50262117,44573053,35194915,35194916,35194991,255752481,20205379,27105684,35194866,44573008,44573191,257319645,35194914,27105622,20205343,14498620,254981449,9976360,14498596,20205435,27105757,27105780,20205459,20205458,27105653,20205362,20205361,14498558,9976377,9976378,14498614,14498624,9976386,6556996,6556995,7299814,7299816,268049571,255509978,12550320,17737611,24095929,27105790,35195133,44573290,40508644,31812737,24297402,17914841,12692401,12692400,14498576,9976349,6556969,4107771,254215697,808031,457875,457873,808030,1420376,2457111,1420380,1420379,2457113,4107775,4604398,2770854,2770851,2393669,1385317,787940,787938,1385312,2393657,2638936,1524186,1524187,864396,487790,487791,864399,254224999,4403130,7005017,10615227,9706883,6385109,6385108,9706881,14110776,13977405,13977406,19524440,267947446,6515988,4082787,4082786,6515986,6733144,4218401,2522074,2522076,4218436,6733194,10247862,12814899,8712959,8712958,256645491,33218218,34652536,34652535,38802811,48723779,59289370,47893473,47893472,38802837,30218725,22826294,22826293,30218723,38802834,46866523,46866524,58234383,47935183,38021514,38021515,47935185,47935178,38021511,38021512,40512700,31816344,24300479,17917335,17917334,21168535,21168534,28386810,30218749,267981602,26923439,26923438,35005307,31824754,31824755,30218715,22826307,22826308,30218735,22826302,16605414,11581212,7708618,7708619,11581217,10948436,7245370,7245369,6976380,4382846,4382847,6976383,10576191,15313189,21274640,28491123,36988037,46866527,58234384,52057009,42911979,42911980,46497867,36631099,36631098,28834477,21563442,15541853,15541852,21563440,22252005,29601699,30709158,23292816,17033355,17033354,23292813,255527026,16773635,16773633,23013346,30418418,39007687,37374406,37374403,31078416,31078417,39755980,49417062,49417054,39487423,36609126,28135295,20957219,20957220,28135298,36609129,30881532,23450231,23450230,30881530,255143486,50558829,40522398,31825400,31825402,40522402,50558834,40522409,38424136,31825378,24308418,24308417,31825516,31824693,24307691,17923347,17923346,22956712,16720573,11678915,7787427,7787428,8197056,5267090,3221839,1888253,1077397,605129,336794,336795,605131,1077400,1888261,1873004,1068384,1068386,919217,919218,1616127,1617439,920041,518809,518807,920033,1617430,2787937,4628221,7327318,11051842,13450200,9197986,9197985,13450197,14904736,10248007,6733335,4218555,4218556,6000178,6000179,267734898,7882923,10585209,10585208,11798581,7879779,5003530,5003529,5003357,3024202,3020923,3020924,4124515,4124514,6582995,10015874,11798622,11798623,11798626,7880129,6982874,6982873,10585332,254696350,7875300,254373383,3024240,3024560,3024463,3024462,5003588,7875306,5002489,5002477,3023336,3023329,3023328,5002467,5002524,5002525,7878686,7879405,5003188,3024568,1758940,1001490,564204,315965,174728,174726,315955,564187,565235,564084,564086,1001291,1758538,1758828,1001417,1001273,564155,564157,1001411,1758820,3024367,1760258,1760259,1760988,1759827,1002162,564616,564615,1002155,1002179,1002178,1759847,1756308,1756309,3021484,5000018,3023349,1757811,1000622,563692,563693,1000629,1757818,1757867,3023403,3024379,3024084,1758997,1758974,1001525,1001377,564135,315936,315939,564144,565251,316571,175033,175037,316575,565259,1003152,1001171,564015,564017,999013,1001162,1755542,1755637,3020698,3020449,1760054,1002374,1002375,1760055,3025789,4999692,4998742,3020288,1755266,1755265,1759636,3025400,5004693,7874038,7885827,5008296,3028320,1762082,1003897,267768405,1761379,1761378,254373705,3028323,5008301,254558461,3028088,3028089,5008004,5000858,5000859,4999843,4999844,7875111,11089504,11797330,16863679,11795609,7885248,5007841,5007840,7885247,11794612,7876351,7876350,11794609,255132905,11794735,16862840,16872004,16872003,23125619,255963223,21556420,16870306,255342254,16870309,23130756,23125453,16865430,11797030,11797033,11805797,11805798,11804931,7884682,7884685,11804941,14567331,14567330,20299593,23123628,16875458,11805701,11805702,16863503,16871920,16045061,11140908,11140910,15536182,15536183,16870213,11805788,11805789,16870048,16863388,11795351,11795347,12201939,12201941,17326921,23136189,16875952,267965944,7885688,11806209,16875958,23136197,30553952,28827534,21556834,21556833,25357447,18775085,18775086,16097501,16097500,16097467,11180695,7418252,7418253,11180696,16097471,22232334,254318970,23244510,16977898,11891063,11891062,16977897,23244509,18874828,13450130,9197933,6022010,3767347,3767346,6022008,9197930,10247973,10247972,13450359,9198140,6022179,6022180,9198143,13450240,10248042,9971439,9971441,14191609,14191608,9971407,6553369,4105439,4105438,2455664,1419512,1419511,2455660,2257258,1310070,747854,424983,424984,747858,811530,811531,1426686,2468229,4125944,6585291,10019175,9755674,6414559,6414558,9753770,8991367,8991368,13189733,14188802,9753832,6413233,6413232,9753830,267735788,10892250,10892249,254112846,7699560,4873579,4872035,4872034,7697974,9893791,9893792,7509473,7509472,10514138,10514140,14368355,9874518,9874520,14368364,11333806,11333805,16290639,16290873,11333971,11333975,9901448,9901451,11567152,16587275,16588086,15565755,10766423,10766422,15565753,16291669,268227759,20064362,20064363,26949282,22460461,22460460,16588887,11568697,7700173,4873410,4873409,6492403,6492404,9881879,7113394,7113393,10766238,15565530,10931910,10813455,7146005,7146003,5310742,5310741,6503597,6503598,9896221,14390288,11333996,7531510,7531509,11333993,14375936,14375935,20060496,20077500,26936730,20050924,14365569,9872271,9872273,14365565,14376462,14391148,14364933,14364934,20050468,20073849,14391151,11567482,7699315,4872908,2936366,2936367,4872912,7699325,7700663,10814127,7700680,7700679,11566939,16290499,20065997,20065996,20064324,14380157,9885956,6495546,6495547,9885980,14380177,14379959,9885794,9885795,10894855,7205474,7205475,10894858,10894871,7205481,7205480,9880450,9880451,14374504,20059256,20065058,16590075,16590074,16373546,16373545,15625395,10811605,10811604,8845264,254896901,18303745,21717688,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302226,6855222,255012887,21026456,28221603,36714327,30306519,22907292,22907293,30306521,37579420,29032170,29032171,33197967,25451596,25451597,29002273,29002272,37548072,29020979,21732034,15684382,10857969,10857967,15684377,15686458,15686459,21735240,24232493,17858898,12647060,8586975,8586976,12647062,17858903,24232501,31742263,40436413,47487723,37582574,255858819,15692590,10863573,10863574,15692593,255122013,11639871,16675989,22908187,256448951,268928526,31738962,24229871,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7936687, s2 = 14064201, dlinesl.size( ) = 10 s1 = 8253596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2056964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13608867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13608867, s2 = 6970959, int(edited[s2]) = 0 s1 = 13608867, s2 = 6970959, d1 = 13, d2 = 7 Dl.O(d1) = 256520157,38155147,48067919,42678807,38692902,30116723,24094998,24094996,30654777,39250635,49175671,60574437,73317142,86926674,100906948,258707566,111901071,97963626,259015470,70553390,259265377,111901067,125718525,259527662,115075226,101004067,99470793,87172035,87172036,101169642,91316195,77397416,64246926,257454844,48579444,49175668,49175667,60574430,73317133,259451877,97963623,86305231,86305232,100267012,114296811,115246842,101169646,258873858,73553911,257059912,72993297,72993298,71765995,71765996,85356422,85356425,72708305,72708303,72993289,86591111,100552933,86926667,86926669,91418093,91270206,91270208,105492681,113305335,100832903,86852019,73239279,60492520,49089340,49089341,60492524,72708314,72708316,60648310,60648309,73394869,87010458,101004071,114883334,100832906,86852025,73239287,73239286,64323397,64323398,77487328,86591117,72993301,60257466,48864365,38944576,30358404,30358403,37694903,37694902,47618478,59022141,256008596,113305341,127165237,140512075,137329776,127165232,127165233,114883327,100832897,86852014,73239274,73239275,86852008,100832891,114883325,101770193,101770191,115815776,129714513,128779308,114883331,114883330,127165230,113305338,99301575,85356416,268438642,109533674,95278939,81221494,81221495,95278940,109533676,260113110,123598217,137329767,137453330,150488578,162612669,154765701,150370831,137329772,123598222,109406462,258508338,87798031,75964237,75964238,89743934,103848427,117994046,259137136,117994044,115815772,115815773,106083613,91888096,91888097,95152364,259137138,44447444,44447443,55291770,67629575,67755217,67755216,81221491,95278935,106083631,91888119,91888118,257889242,95152346,81095033,81095034,95152348,109406451,123598206,128779304,114883328,100832900,86852015,260062711,98973212,85048133,71476596,71476597,67755225,55414969,257918651,81221500,95152357,109406455,123598208,120266842 Dl.O(d2) = 260757529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13608867, s2 = 6970959, dlinesl.size( ) = 2 s1 = 13608867, s2 = 6970959, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13608867, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 10212446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6889009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6732876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8327108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 379434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2057404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2057404, s2 = 6536070, int(edited[s2]) = 0 s1 = 2057404, s2 = 6536070, d1 = 15, d2 = 3 Dl.O(d1) = 53671123,43160117,43160114,34076226,34076225,26215452,26215451 Dl.O(d2) = 255693830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2057404, s2 = 6536070, dlinesl.size( ) = 2 s1 = 2057404, s2 = 6536070, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2057404, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 224908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8152102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 85558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14089186, s2 = 14189926, int(edited[s2]) = 0 s1 = 14089186, s2 = 14189926, d1 = 19, d2 = 1 Dl.O(d1) = 33039401,25311804 Dl.O(d2) = 71036351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14089186, s2 = 14189926, dlinesl.size( ) = 8 s1 = 11135676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9808529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7992768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8302753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8302753, s2 = 2551853, int(edited[s2]) = 0 s1 = 8302753, s2 = 2551853, d1 = 1, d2 = 6 Dl.O(d1) = 72656745,72656046,257186322,59916245 Dl.O(d2) = 44833865,55741734,68139633,81629752,71815458,59073999,47673672,37751344,29189795,29189793,37751338,38607474,30033480,22658645,16464930,16464929,22658640,30033465,38607452,48522701,54667076,43924594,34651384,26659973,19845638,19845637,26659965,30530240,30530241,34645633,26654516,26654517,34645638,43918609,54660980,66917482,73387640,73387644,81073557,77957729,77957728,73480168,60732199,60732201,66968791,54709591,43965755,43965758,54709598,52842074,52842072,54709555,66968746,80399001,81218436,67751981,55411398,55411399,55411442,54709565,54709550,43965733,34690452,34690451,43965729,54709542,66968733,66917581,66917584,80343845,68139686,66917286,54660872,43918559,43918558,43918566,54660888,66917316,258819746,60462302,60462300,73209175,84278326,70725949,58010190,54684192,43941539,43941538,54684187,64786724,269845050,81013934,84291150,70739920,70739921,84291151,94398392,94398393,108685321,109327718,109327717,106914379,92595845,78548457,258554705,55719681,44813116,35388505,27263058,27263057,35388503,44813111,40968612,40968614,49309922,49309923,60712169,62989385,75971599,67544262,66909663,54652573,43909785,34636564,28274664,268605745,46654461,44350292,44350293,55200740,47681991,39842053,39842052,39842177,31159413,31159414,39842026,49864989,50691199,40632237,40632236,46654787,48284470,53143744,49309990,39382213,35072215,26988272,26988274,30141437,30141436,38721039,34622946,26633747,26633750,22578517,22578520,28274460,21071097,17038756,17038754,23298915,30716093,23670927,23670926,31159123,39841798,49864849,55200545,44350162,44350161,55200541,67544292,65780203,53723613,53723612,60712132,60712131,58015869,256700668,35040384,26960551,20076855,20076856,26960553,35040387,256294915,28275358,30782357,23357563,23357564,23470520,21058372,15126347,10433147,10433146,255377937,28259616,36754684,255470202,39208696,47832590,46431112,46431114,36907564,33443552,33443555,25673146,19051919,13600596,13600595,19051914,20921248,20921329,19052155,19052156,25673463,33352849,36756329,28261213,28261214,36756330,43069359,47088733,37879164,29310312,28993780,28993781,256268140,255377468,33443619,254490272,13600630,12618027,8565190,5561553,5561556,8565204,12618052,17821587,24190511,31698539,26650238,26650236,34641759,43915151,54657809,64761863,71359675,60326254,48927690,48927691,48928533,47802678,47802676,40354069,268200974,17782011,12584857,12584859,17782017,24148890,31659228,36457858,27999362,20835004,14936294,14936295,14936299,20835009,268305795,19193385,25848343,33652755,254629552,25036069,32722949,41629240,37945961,33652728,33652686,33652687,40457552,31763101,24251308,17873868,12657395,8593465,8593464,12657392,17873864,19193374,256156953,42683029,53134217,65119775,53134237,42683052,42682983,256078872,21076272,15139325,15139326,21076275,28281187,25793780,25793782,33589546,25848341,19193384,13707892,9388946,9388947,13707895,19193367,13707882,9388940,9388941,13707884,19193369,25848318,25848288,25848289,33652679,33652702,25848306,255284033,13707874,19193358,25848305,30636681,23213762,23213761,25848314,25848315,33652714,33652738,25848333,19193379,13707890,9388945,9388944,13707888,19193376,25848329,33652730,42683034,53134198,55438428,44588960,35208966,27117346,27117347,35208962,27117342,20214690,20214689,27117275,20214630,20214631,255753489,20214739,27117407,35208898,31534574,24032293,17681409,17681410,20214636,20214635,14505413,9981235,6560316,4109873,2458374,1421120,254215829,4109875,6560319,9981239,14505420,14505446,14505447,9981258,6560331,4109882,254215831,808459,808458,267783079,254474323,9981241,14505424,20214652,27117291,27117421,20214751,268340545,256229453,44588988,256755031,27117433,256229463,44589059,38802591,30218495,22826084,22826083,256440517,48723569,44589025,35209016,27117396,20214733,14505492,14505493,20214734,27117398,256755021,257920317,81250889,95311805,81250890,81250891,95311806,109568593,95311776,259797163,109568597,260409650,109568605,123759809,109568606,95311789,81250872,81250873,95311790,271662235,95311765,81250852,67781419,55438446,55438447,55438454,67781432,81250862,95311780,95311783,85896579,268954916,86102356,86102355,99851393,109568594,95311801,95311802,109568613,123759810,113869029,113869028,260600567,99851406,99851401,99851400,85896600,72303883,257524675,38274273,29707606,22352489,16201460,11262447,255089373,22352484,22564172,16384413,11403245,7577497,7577498,11262441,11262440,16201448,22352467,29707583,256402585,29707605,38274271,257524673,72303880,85896530,72303813,72303814,85896532,99851366,104221789,104221788,100067896,100067895,104221833,259413222,258164766,51540484,63256964,76276286,90088889,90088886,258788446,51540483,51540482,258354351,90088881,104221823,118382271,118382262,118382263,132200228,132200255,118382284,118382283,122310149,136286712,149551766,152896582,140205942,140205943,145431300,145431299,157833174,169262666,157833147,145431305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8302753, s2 = 2551853, dlinesl.size( ) = 2 s1 = 8302753, s2 = 2551853, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8302753, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14885384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14885384, s2 = 14162495, int(edited[s2]) = 0 s1 = 14885384, s2 = 14162495, d1 = 23, d2 = 45 Dl.O(d1) = 256209069,44261057,55098557,67433673 Dl.O(d2) = 112754637,98764452,84837124,71262940,58531180,53690969,47142929,37237750,28707222,21452572,15454073,267964325,4443681,2669276,1545864,878561,495503,495502,878558,1545859,2669269,4443668,7058440,10685027,15454041,21451979,21451980,28706538,37236991,37237945,28707398,28707397,37237709,28707184,28707185,28706456,21451898,21451897,28706455,37236900,28706924,23542747,17234280,17234279,23542746,28706444,21451883,15453564,15453565,10684764,7058255,7058254,10684762,10685131,10685132,15454179,21452694,21451878,15453559,10684696,7058210,7058211,10684697,15453536,10684680,10684679,15453533,21451845,21452158,15453758,255405057,21452083,15453713,15453489,10684646,7058182,7058183,10684650,15453495,15453461,10684632,10684633,15453465,21451765,28706314,28706424,28706425,28706327,21452116,15453730,10684819,7058289,4443574,2669204,1545821,1545820,2669201,4443568,7058278,10425686,10425685,12906921,12906917,18196921,18197035,12906977,8779984,5718331,5718330,8779981,12906971,18197023,24655160,32254696,37237099,47142229,47142235,47142234,41048027,41048028,39114432,268967307,35309893,28047129,20879130,20879132,28047134,255798442,28161350,28161352,30507913,28027191,28027192,36489718,28626908,28626907,256818054,47028253,37140011,37140010,47028252,58400058,55745728,55745729,68143622,79441252,66772402,66772404,80199133,93598903,259731366,258471072,79435338,79435362,79435363,81828109,68303580,68303579,81828106,83788674,80504665,258570246,98732541,112727135,108403637,94067940,271135471,122722187,117454096,103319322,89224619,75472350,62548332,62548333,73855230,73855234,87463601,78332040,65053186,53070832,53070830,65053175,61099365,50943918,40821755,40821757,35543245,35543249,34908470,26842850,26842854,34908478,39623606,34356176,26463531,19715747,14134854,9723505,6396132,4013677,4013674,6396068,9723353,9724130,6396500,4013875,4013871,6396445,6396317,6395701,4013459,4013460,2406733,1392577,1392578,2406734,4016310,6401321,255723545,34530951,269168687,43782256,270104845,122824749,136673775,149711191,136490046,122558900,109233014,273053587,271177490,271934499,89485474,75721885,75721888,74640573,74640574,79792042,80062612,67494777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14885384, s2 = 14162495, dlinesl.size( ) = 5 s1 = 2287977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9060145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9060145, s2 = 14102872, int(edited[s2]) = 0 s1 = 9060145, s2 = 14102872, d1 = 50, d2 = 47 Dl.O(d1) = 175435,175438,317179,317177,317191,317189,317745,317743,567323,1006633,1149466,1149470,1936233,1105940,620540,344831,189109,267740607,620532,1105923,1936202,1767674,1767675,1105920,1105921,1936198,3292298,5356352,8302214,12292547,17438832,23766778,31251226,39926708,49944365,258854543,259214694,67496847,55155507,256243652,61113014,61113015,55990626,55990625,67351112,55021589,49656383,49656381,61114960,73887237,80225490,79542510,66158815,54050001,54050002,55092018,44255771,34895193,26833325,19964246,19964250,19955322,14289363,14289367,9823878,6454049,4046331,2422902,2422899,4046361,6449339,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,19756715,19756718,26544375 Dl.O(d2) = 2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358847,43488695,41557207,32665616,32665619,39546784,30931300,23494782,17207775,17207776,23494729,30938588,30940331,30941900,30941897,39563926,43609276,34427461,34427466,30143275,30143272,38724289,34433171,26505368,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,39567251,32571499,30973845,30973849,34823684,26781064,26781066,34823674,44164660,54985762,257377674,80783951,80783952,94850429,80783974,76170546,63160737,63160739,76170551,80697272,89889255,76088326,66087187,256914474,256914476,74388652,61611369,50130738,40110406,40110407,50130740,61611372,74388655,63087450,51395469,51395468,63087447,51395792,41202964,41202963,51395791,63087754,268279170,60364778,60364779,73103141,86706888,76088225,63087627,51395728,42774436,42774437,53225071,47787185,37862712,37862713,47787186,41202282,32382276,32382275,41202279,32382274,32382273,41202278,48553851,48553852,59946096,63046000,51365099,41179004,32363076,24746533,18273229,12969085,12969084,18273228,24746532,32363075,41179002,36581665,28109408,24542696,18108531,12840584,12840585,18108535,24542702,32120604,40894681,51032526,256197234,64781123,63046003,51365100,43847078,34575327,26588227,254680318,32001987,38068265,38068266,30185779,30185780,38769645,256197200,63087565,76088150,89889108,89889113,104013973,118168899,129124508,115192718,101114732,270879539,73498038,269847439,49346225,39416728,30811575,23382975,17112413,12025472,8084756,5180166,5180167,8084759,12025475,12025480,12025481,17112428,23382995,30811610,39416769,43408120,34306749,26428875,19691201,14118570,9714008,9714009,6390640,6390637,9714037,14119394,19692215,19862763,15113508,15113505,21041224,28240024,36735020,40987378,40987379,51132364,49443713,49443712,60845307,73594752,87216789,101217678,115295959,258320382,142595747,142595746,155233512,166919285,177458842,186766815,194873118,201812152,207653164,212468864,216405919,219670298,219670297,222427163,224793722,226848240,265265102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9060145, s2 = 14102872, dlinesl.size( ) = 2 s1 = 9060145, s2 = 14102872, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9060145, Dl.E( ) = 52, 3.7e-05 seconds used appending s1 = 8450798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8450798, s2 = 14082740, int(edited[s2]) = 0 s1 = 8450798, s2 = 14082740, d1 = 28, d2 = 21 Dl.O(d1) = 268426370,47442236,47442235,58828310,71555678,85126087,99050774,85648142,72061130,72061131,85648146,99597961,87628726,74024849,61244613,49765790,256500361,12151713,8182115,8182114,12151710,17272427,23584814,31069043,39747143,49765741,270835058,39124230,47935324,38021591,38021592,47935327,59327058,72061337,73205431,85648187,72061164,72061166,85648189,98260252,84352807,70794069,70794068,60458314,60458313,73205435,72061416,72061414,85648216,72061424,59327148,47935412,38021645,29459759,22125439,16011074,11116106,7372744,4657587,2805867,2805866,4657582,7372736,11116099,16011057,22119246,22119248,29453142,38015300,47929442,49765491,39746988,39746989,49765423,49765430,49765429,61244200,61244198,74024455,61244232,257524522,38272872,29706175,29706176,38272857,48182418,49765661,49765648,49765647,61244490,59568744,48182478,38272906,29706198,29706199,26235973,26235974,34098984,43184311,53696170,258196091,258757212,53696163,53696164,49054297,39124154,30525879,23108194,255961959,39124156,49054299,60458162,49054309,49054308,49054373,49054374,257389645,36502297,28039008,20871027,20871026,28039006,24253226,17875656,17875655,20055577,20055576,26941504,35022377,44397740,55245757,67587447,60457972,60457973,57709539,57709540,70403524,57709536,57709537,70403528,73205380,60458250,49054372,39124214,39124213,49054369,60458246,60457963,49054112,49054113,60457967,73205111,86818038,99598081,87224783,259473919,85892690,73205415,60458299,49054414,39124243,39124244,49054415,51963150,60458263,49054383,39124223,39124224,49054386,60458265,49054436,49054437,60458338,73205466,76888406,73205140,73205141,70426533,57732027,256813499,255788725,20887387,28057191,30910937,23475038,17193177,17193176,21940548,255508708,8967487,13156457,255640325,32745481,41655695,39518530,39518529,49450617,39520302,36522421,28057199,28057201,36522424,46381960,256275689,20887390,14984268,255363343,28057194,36522417,257391853,39520305,30910933,30910934,39520308,49452583,258185550,41655700,32745486,32745487,41655706,51963143,49450627,39518534,39518535,49450630,49054336,49054338,49451341,39519176,39519177,257618708,60852352,60852269,49450482,39518419,39518418,30909429,23473870,17192346,12089126,12089127,12089145,12089144,17192364,255989477,23473841,255153775,8129768,5208573,3177754,1860171,1061547,1061548,1860176,3177765,5208591,8129794,12089165,17192414,23473968,17192586,17192585,17192476,17192477,12089294,8129868,5208639,3177799,1860191,1061553,1061552,1860187,3177791,5208634,8129865,12089290,17192603,23474230,30909952,39519187,49451086,39519093,30909891,30909890,39518774,30909653,30909654,23474022,23474023,30909692,30909678,30909679,39518847,39518914,30909740,23474047,255153781,12089194,17192469,23474043,30909737,39518744,49450902,255058616,23473988,17192424,17192423,255989485,39518773,49450895,39518751,30909607,30909608,39518757,47403865,47403820,37496026,37496025,47403813,39518767,30909618,30909619,39518771,49450933,60852707,60852734,49450965,39518795,30909635,23473992,23473991,30909632,39518792,49450958,49450786,49450785,49450950,39518784,39518783,49450946,60852719,61960077,50464176,40426517,31732468,24224055,17852415,17852414,24224050,31732464,40426510,50464171,49451333,40426502,31732456,24224046,24224048,31732458,40426504,50464162,59046470,47644929,47644930,258092067,85377487,99322162,86895456,86895459,100874940,100874941,100875003,100874953,86895446,73602465,60852723,49450952,49450953,60852727,73602473,86895506,86895501,73285040,73285039,73285052,73285051,86895511,73285063,60541416,49141618,39214908,39214909,49141621,60541420,73285067,259377516,85861473,269339988,269339986,85861468,99814926,100874983,102070218,259054228,74471141,88083561,260084334,271841617,88083516,74471105,61688040,61688042,53547023,43067997,34010147,31497650,24000165,17655933,12485255,8456257,5463708,254602627,12485248,17655924,24000163,31497645,40182394,50205241,61688050,73602532,258167143,48647665,48647664,60044126,60788542,49387670,49387671,60788548,61506662,73602525,73602526,61506688,50028541,50028542,61506689,74283166,61507130,50028932,50028933,257032280,40009888,50028499,61506637,74283191,258843542,72782983,60044151,48647688,48647687,57756424,57756423 Dl.O(d2) = 74026354,85972989,85973021,72378141,72378142,72378181,60352833,48956212,39034101,39034099,38346578,38346577,48256965,48257024,38346629,38346628,29775217,22411339,22411338,29775120,38346540,29775212,22411330,16247547,11295918,7499683,7499681,11295880,7499660,4740711,2857046,2857048,4740717,7499678,11295908,16247533,22411315,22411219,22411218,29775073,29775260,38346716,48257120,48256900,38346511,38346512,48256906,38346697,29775249,22411360,16247567,11295933,7499690,4740722,4740723,7499697,11295939,16247583,22411232,22411233,29775089,38346484,48256855,48257071,38346665,38346656,29775206,29775207,38346658,38346519,29775203,22411325,16247544,16247540,22411320,29775199,38346653,48257059,59643856,72378184,59643708,59643710,60327235,59643895,48257103,48256923,38346552,29775125,29775123,38346525,29775113,256407681,48256918,59643720,72378191,258272508,49730085,39711503,39711504,49730087,58011120,70726887,73094287,65734533,65734534,59479282,48089847,48089849,48257063,59643863,72378328,85973173,85946531,72351268,59616663,59616664,72351272,60541898,60541901,72378332,84893597,71319731,58586334,47194931,37286379,37286380,39016160,48229907,49792636,61271368,72378405,70723552,64997538,64997539,59046538,59046539,65734529,53678465,48863807,38944092,38944093,48863809,60256738,72992277,70723533,70723534,84275052,257169966,46633439,46633438,39292759,39292760,38332364,38332357,38332359,40075739,36749658,36749642,36749643,46636431,48076349,53678475,53678476,53678485,49190300,39264235,39264234,49190294,39748680,31070918,31070914,39748678,49767264,42172662,42172663,258405837,74026229,71573186,58846302,58846300,71573164,58846283,47461099,37553674,37553675,47461106,39748624,31070888,23587283,23587282,31070882,39748612,49767173,61245980,58008951,58008950,49767090,39748534,31070820,23587242,17275356,17275354,23587236,31070812,37572873,257047131,60541060,60541059,71573193,71573194,85143505,71585105,58861222,47478649,37572870,37572868,39748524,39748523,47461083,37553659,29007853,21721689,15677311,10853473,10853474,15677313,21721694,268621109,41576438,51866687,52523081,257181188,37572896,29026118,21736047,15687058,10859744,10859742,15687050,21736039,29026107,37572876,47478653,58861227,71585107,71784452,71784451,71784463,59467445,48076781,38164018,29597488,29597490,38164022,48076786,49141569,40854533,32082444,32082442,39214698,30617815,30617814,30617824,39214598,39214597,36753507,28258473,28258474,36753510,46634285,58008941,268750012,31392757,23898499,17553245,255568263,31392758,39215114,49141822,255510710,36753491,28258462,28258463,30617940,23196924,16928674,16928677,23196935,16928678,16928679,16928858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8450798, s2 = 14082740, dlinesl.size( ) = 2 s1 = 8450798, s2 = 14082740, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8450798, Dl.E( ) = 34, 1.72e-05 seconds used appending s1 = 14069818, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9824757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9824757, s2 = 4239977, int(edited[s2]) = 0 s1 = 9824757, s2 = 4239977, d1 = 16, d2 = 9 Dl.O(d1) = 12434949,17616934,23967098,24520369,24520370,32095362,35112834,44489861,44489069,35112071,35112072,44489073,44489986,35113053,35113054,38625991,38625993,48540694,44501950,44501949,44501922,35124122,27037002,20144173,20144172,20134261,14440614,14440615,20134243,20134241,27026638,35113083,35113077,27026630,27026629,27025550,27025549,35111895,44488902,44489899,268476528,27026430,27025714 Dl.O(d2) = 162544150,173575628,273499595,199299874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9824757, s2 = 4239977, dlinesl.size( ) = 2 s1 = 9824757, s2 = 4239977, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9824757, Dl.E( ) = 28, 1.31e-05 seconds used appending s1 = 7844723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7844723, s2 = 14846074, int(edited[s2]) = 0 s1 = 7844723, s2 = 14846074, d1 = 23, d2 = 34 Dl.O(d1) = 239407481,238797908,238134859,237406476,236605748,235727644,234762170,233702420,232536937,231246761,229808365,228188613,226344388,224227496,221785513,218937921,215563555,211480463 Dl.O(d2) = 23631065,17315105,17315106,23631070,31117654,29274550,21951067,15860582,15860583,21951071,21737275,15687989,10860305,10860304,15687658,21736806,16250589,11297858,11297857,16250584,22415558,29780945,26967033,26967032,35047840,35048637,26967713,26967712,35048635,256504014,255549572,28390972,255999702,29274815,21951253,255065101,7277262,7277263,10993173,15860714,21951256,29274820,37841478,257324175,35248656,35248657,44633111,47401965,47401967,58789680,71519470,67611348,256043712,40445216,40445217,50481503,61256592,58850052,47465420,47465419,58850046,71576163,61963989,50468478,40430806,31736770,31736769,40430798,49777662,39758992,39758991,49777499,39758851,31081178,256350745,255547515,17285631,23597804,31081185,37565346,37268369,28736361,21479110,15476424,10702361,10702360,15476418,21479107,28736355,21479163,15476457,15476458,21479166,28736450,37268461,47174400,50482487,61974742,50483077,40446717,31751684,31751683,37553010,29007364,29007365,37553015,37268400,37268399,37268580,28736584,28736585,29015193,37561813,47468786,48809969,38887539,38887538,48809966,50476542,47174292,37268343,37268342,28736454,21479168,21479169,24234759,17860545,12648031,8587505,8587507,12648038,10702370,7070663,7070662,10702366,15476434,21479129,28736407,31737087,24228330,17856060,17856061,24228337,24228608,17856689,12647945,12647944,17856270,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861491,7636382,7636379,7636236,4830967,4830970,7636252,8585752,12644954,17855438,21724930,15679437,10854878,7176531,7176536,10854899,15679474,21724998,29009423,24239475,21731214,15683929,10857739,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7183755,4525726,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,5578944,5578942,8585717,12644889,17855295,256043453,256043463,24227352,255422685,12878514,12878513,12647115,12647116,17858992,24232596,24228872,255200835,12645542,17856478,255051109,7175405,7175406,5579301,3461660,2052819,1177674,1177601,661116,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,15682403,21729186,21747439,15695439,15695440,255858533,21739736,29030743,37577992,47483837,38892195,37590073,29042647,21752329,15699042,10867791,7185479,267826737,2721154,254510043,255052635,21752325,29045349,37593038,40435709,31741457,24231803,17858475,12646826,12646828,17858477,24231808,21749239,255859283,21724524,21724525,17338900,17338899,23655784,29021749,29010451,29005398,21723721,21723723,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,24228972,24228975,29005803,31743633,29012699,29012698,37558936,31746707,31746708,37578132,29038728,21746469,15694759,10864943,10854710,7176432,4520657,2717200,1574478,1574482,2717144,2717141,4520552,7176256,10854413,15675710,21115659,15693487,15692976,15692973,21743950,29012484,21725237,21725236,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855615,16901130,11827652,7904307,5024433,3041249,1771033,1771034,3041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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7844723, s2 = 14846074, dlinesl.size( ) = 18 s1 = 14186775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1657020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6791541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9672523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2105391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2105391, s2 = 6673329, int(edited[s2]) = 0 s1 = 2105391, s2 = 6673329, d1 = 21, d2 = 110 Dl.O(d1) = 57642755 Dl.O(d2) = 273442950,180683617,180683616,189581481,262922226,170552416,170552415,272980826,159214508,146841534,133583977,119709466,105470130,258391042,257186744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2105391, s2 = 6673329, dlinesl.size( ) = 14 s1 = 9792287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9792287, s2 = 14217051, int(edited[s2]) = 0 s1 = 9792287, s2 = 14217051, d1 = 1, d2 = 1 Dl.O(d1) = 259262818,84051012,257536810,58139667,70854114,259281647,70854112,269306925,36893504,36893503,46771801,58139664,61621497,74400227,84085164,258769942,70854126,70854127,84411746,98321267,105453437,91231838,77312570,77312569,91231837,98321279,84411731,84411730,98321278,112304113,115909904,115909905,261062756,259262830,97874353,97874354,84411721,84411722,98321272,112304105,115909900,126164810,126164811,114913889,114913890,111874556,97938125,97938126,271289246,139030326,128811110,114913878,100863402,100863401,114913876,259881896,97874328,97874327,111806768,125621349,259262824,125621355,111806778,111806779,258636224,138959532,271831629,73271760,60526965,49126106,39198619,39198620,49126107,60526967,73271763,86883288,100863420,114913893,128811123,138959528,125621353,125621352,111806788,97874350,86883278,73271756,73271757,86883277,84005580,84005579,97874330,97874364,97874365,100863423,258636234,114913896,111806785,97874346,84005606,70472004,57772583,57772584,70472002,57772582,46418767,46418766,256821824,70471996,57772576,57772575,70471995,84005597,84005614,70472007,57772585,46418769,36555555,28086502,28086501,255796086,46418788,57772603,257395415,268600775,28086493,36555539,46418741,46418785,57772550,46418740,36555538,28086492,20913281,15008119,10338134,10338135,15008121,255791559,36555540,46418742,46418799,36555585,28086527,20913308,20913309,28086529,36555588,36555521,255008070,15008114,255366087,10338138,6805378,4268050,2551743,1469904,1469905,2551745,4268052,6805381,10338141,15008113,15008137,10338147,10338148,15008112,10338130,6805372,6805371,10338129,15008111,20913270,20913275,28086484,36555508,36555509,46418719,57772533,46418724,46418723,268905978,46418791,57772607,57772611,46418797,36555584,255791565,15008135,255366093,28086526,36555583,28086523,20913306,15008134,15008133,20913304,28086520,36555579,268934030,23637287,17321710,12196790,12196789,17321708,23637283,257634027,61303755,270377811,87692296,258719446,127599705,127599704,140948916,129595406,115709021,101664383,101664382,113360622,112564854,112545245,98551123,98551124,99716682,85762660,85762661,99716683,111806793,270049560,58368780,46998499,37112829,256859457,58368783,58368791,58368787,58368786,71085219,84647941,98571108,84647935,71085214,71085215,84647937,259721994,98571103,112564855,111806792,97874360,84647951,71085228,58368796,58368798,71085229,84647953,257844666,46998507,258048517,269779532,55658297,258550303,71085231,58368801,258048519,81541796,68055053,55658295,55658296,68055054,81541787,95572166,109772299,123909238,137590287,142418850,142418851,142831178,129514356,115629441,101589098,87621932,74017750,74017751,87621935,101589103,115629449,129045259,129045260,129514353,142831184,142418856,129045268,115118541,101044996,101044997,115118543,129045274,142418864,261167420,177318998,186644311,177318989,166762255,155063744,142418840,129045261,127621891,127621890,115118526,101044975,101044976,115118530,101045004,101044972,270839544,129045247,129045281,115118550,101045002,101045003,115118552,129045249,129045250,258747776,99738703,257514694,60684360,49283276,49283275,60684358,73432301,87049767,101044989,99738861,99738735,99738734,113753134,101044981,87049761,257514696,115118532,259372854,115118548,101045000,99738682,99738683,99738680,99738681,99738345,85784533,85784534,87049782,73432307,60684362,49283277,39356249,30755523,30755522,39356246,49283273,60684355,73432297,87049758,101044974,115118524,129045251,140971642,127621903,113753136,99738739,85784918,72190897,59452937,48061759,38148956,38148958,255081552,85784923,99738742,255458096,127621654,113752815,99738439,85784646,72190654,59452730,59452728,72190650,269338566,113752813,113753113,258124470,72190891,59452932,59452931,72190889,85784904,95638748,81605992,68117368,68117369,81605996,95638754,109842133,123981617,109842141,99738424,99738425,99738436,85784640,85784639,256934670,109842150,123981629,137373076,123981631,113753110,99738716,99738715,109842091,109842092,95638794,95638795,109842163,258124482,257933937,44814570,35389821,35389822,44814572,55721060,68117388,81135481,269637869,44483146,44483147,44483142,257312379,67669064,67669070,258532485,271170165,123641246,137373078,123981623,109842140,95638762,258747782,68117377,81606004,95638680,81605930,68117320,68117321,81605933,95193124,81135477,81135476,95193123,95193112,81135482,67669073,258532483,55329275,44483140,44483139,55329271,67669061,55721010,44814524,35389792,35389791,44814523,55721006,68117333,68117324,257333555,268556589,256240083,44814567,256934666,68117394,68117393,268942084,81605979,68117356,68117357,55721048,55721049,68117373,55721073,44814585,35389843,35389842,35389799,27264255,256240079,44814538,55721025,68117351,81605968,95638715,81605961,257711634,109842109,269027528,85793439,257711640,62047528,257711632,74845787,62047522,50554922,40518542,256302908,24305070,31821638,40518546,50554930,258298545,88481475,259358629,71987431,59250236,47853629,47853630,59250238,71987435,85574564,85574553,85574554,88481477,88481461,258654616,50554934,40518549,31821642,255813742,17921238,24305072,268692433,47330159,58718660,71449256,74845771,88481458,85021419,258072103,268924891,37421961,47330158,58718657,59250248,59250233,47853626,47853627,59250234,57849913,46493923,36627499,257403571,70551731,84088598,257238196,59250222,71987417,71987424,59250228,47853624,47853625,59250230,71987426,268032638,63564286,51781564,51781563,63564284,76647161,255289196,99521481,85574545,85574544,99521479,97962443,84088607,84088606,73471690,73471691,87089471,101085998,268506154,86899870,73289246,60545908,49146541,49146540,60545906,71987416,59250219,57850156,46494173,36627711,256824345,57850154,70551947,70551788,57849964,57849963,70551697,70551623,57849836,46493844,36627716,28154068,20975419,20975420,255798381,10388476,10388475,15064326,20975313,28153905,36627494,46493913,36627718,28154071,28154072,28153922,28153921,36627522,36627537,36627727,256286213,20975295,15064314,10388471,10388470,15064311,15064320,15064321,20975303,15064340,10388483,6846532,4295993,4295990,6846528,10388480,15064335,20975328,28153924,30755520,255798391,15064374,10388509,255009997,20975379,28154010 Dl.O(d2) = 259262818,84051012,257536810,58139667,70854114,259281647,70854112,269306925,36893504,36893503,46771801,58139664,61621497,74400227,84085164,258769942,70854126,70854127,84411746,98321267,105453437,91231838,77312570,77312569,91231837,98321279,84411731,84411730,98321278,112304113,115909904,115909905,261062756,259262830,97874353,97874354,84411721,84411722,98321272,112304105,115909900,126164810,126164811,114913889,114913890,111874556,97938125,97938126,271289246,139030326,128811110,114913878,100863402,100863401,114913876,259881896,97874328,97874327,111806768,125621349,259262824,125621355,111806778,111806779,258636224,138959532,271831629,73271760,60526965,49126106,39198619,39198620,49126107,60526967,73271763,86883288,100863420,114913893,128811123,138959528,125621353,125621352,111806788,97874350,86883278,73271756,73271757,86883277,84005580,84005579,97874330,97874364,97874365,100863423,258636234,114913896,111806785,97874346,84005606,70472004,57772583,57772584,70472002,57772582,46418767,46418766,256821824,70471996,57772576,57772575,70471995,84005597,84005614,70472007,57772585,46418769,36555555,28086502,28086501,255796086,46418788,57772603,257395415,268600775,28086493,36555539,46418741,46418785,57772550,46418740,36555538,28086492,20913281,15008119,10338134,10338135,15008121,255791559,36555540,46418742,46418799,36555585,28086527,20913308,20913309,28086529,36555588,36555521,255008070,15008114,255366087,10338138,6805378,4268050,2551743,1469904,1469905,2551745,4268052,6805381,10338141,15008113,15008137,10338147,10338148,15008112,10338130,6805372,6805371,10338129,15008111,20913270,20913275,28086484,36555508,36555509,46418719,57772533,46418724,46418723,268905978,46418791,57772607,57772611,46418797,36555584,255791565,15008135,255366093,28086526,36555583,28086523,20913306,15008134,15008133,20913304,28086520,36555579,268934030,23637287,17321710,12196790,12196789,17321708,23637283,257634027,61303755,270377811,87692296,258719446,127599705,127599704,140948916,129595406,115709021,101664383,101664382,113360622,112564854,112545245,98551123,98551124,99716682,85762660,85762661,99716683,111806793,270049560,58368780,46998499,37112829,256859457,58368783,58368791,58368787,58368786,71085219,84647941,98571108,84647935,71085214,71085215,84647937,259721994,98571103,112564855,111806792,97874360,84647951,71085228,58368796,58368798,71085229,84647953,257844666,46998507,258048517,269779532,55658297,258550303,71085231,58368801,258048519,81541796,68055053,55658295,55658296,68055054,81541787,95572166,109772299,123909238,137590287,142418850,142418851,142831178,129514356,115629441,101589098,87621932,74017750,74017751,87621935,101589103,115629449,129045259,129045260,129514353,142831184,142418856,129045268,115118541,101044996,101044997,115118543,129045274,142418864,261167420,177318998,186644311,177318989,166762255,155063744,142418840,129045261,127621891,127621890,115118526,101044975,101044976,115118530,101045004,101044972,270839544,129045247,129045281,115118550,101045002,101045003,115118552,129045249,129045250,258747776,99738703,257514694,60684360,49283276,49283275,60684358,73432301,87049767,101044989,99738861,99738735,99738734,113753134,101044981,87049761,257514696,115118532,259372854,115118548,101045000,99738682,99738683,99738680,99738681,99738345,85784533,85784534,87049782,73432307,60684362,49283277,39356249,30755523,30755522,39356246,49283273,60684355,73432297,87049758,101044974,115118524,129045251,140971642,127621903,113753136,99738739,85784918,72190897,59452937,48061759,38148956,38148958,255081552,85784923,99738742,255458096,127621654,113752815,99738439,85784646,72190654,59452730,59452728,72190650,269338566,113752813,113753113,258124470,72190891,59452932,59452931,72190889,85784904,95638748,81605992,68117368,68117369,81605996,95638754,109842133,123981617,109842141,99738424,99738425,99738436,85784640,85784639,256934670,109842150,123981629,137373076,123981631,113753110,99738716,99738715,109842091,109842092,95638794,95638795,109842163,258124482,257933937,44814570,35389821,35389822,44814572,55721060,68117388,81135481,269637869,44483146,44483147,44483142,257312379,67669064,67669070,258532485,271170165,123641246,137373078,123981623,109842140,95638762,258747782,68117377,81606004,95638680,81605930,68117320,68117321,81605933,95193124,81135477,81135476,95193123,95193112,81135482,67669073,258532483,55329275,44483140,44483139,55329271,67669061,55721010,44814524,35389792,35389791,44814523,55721006,68117333,68117324,257333555,268556589,256240083,44814567,256934666,68117394,68117393,268942084,81605979,68117356,68117357,55721048,55721049,68117373,55721073,44814585,35389843,35389842,35389799,27264255,256240079,44814538,55721025,68117351,81605968,95638715,81605961,257711634,109842109,269027528,85793439,257711640,62047528,257711632,74845787,62047522,50554922,40518542,256302908,24305070,31821638,40518546,50554930,258298545,88481475,259358629,71987431,59250236,47853629,47853630,59250238,71987435,85574564,85574553,85574554,88481477,88481461,258654616,50554934,40518549,31821642,255813742,17921238,24305072,268692433,47330159,58718660,71449256,74845771,88481458,85021419,258072103,268924891,37421961,47330158,58718657,59250248,59250233,47853626,47853627,59250234,57849913,46493923,36627499,257403571,70551731,84088598,257238196,59250222,71987417,71987424,59250228,47853624,47853625,59250230,71987426,268032638,63564286,51781564,51781563,63564284,76647161,255289196,99521481,85574545,85574544,99521479,97962443,84088607,84088606,73471690,73471691,87089471,101085998,268506154,86899870,73289246,60545908,49146541,49146540,60545906,71987416,59250219,57850156,46494173,36627711,256824345,57850154,70551947,70551788,57849964,57849963,70551697,70551623,57849836,46493844,36627716,28154068,20975419,20975420,255798381,10388476,10388475,15064326,20975313,28153905,36627494,46493913,36627718,28154071,28154072,28153922,28153921,36627522,36627537,36627727,256286213,20975295,15064314,10388471,10388470,15064311,15064320,15064321,20975303,15064340,10388483,6846532,4295993,4295990,6846528,10388480,15064335,20975328,28153924,30755520,255798391,15064374,10388509,255009997,20975379,28154010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9792287, s2 = 14217051, dlinesl.size( ) = 2 s1 = 9792287, s2 = 14217051, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9792287, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 3074857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9530057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9530057, s2 = 14114258, int(edited[s2]) = 0 s1 = 9530057, s2 = 14114258, d1 = 15, d2 = 17 Dl.O(d1) = 41686916,51998288,63813492,259001573,104970976,119164232,132997406,137403473,123672344,109480519,95226626,270921350,257106550,46723883,46723882,46723883,36841141,36841142,39931083,35015601,35015600,41972737,33029657,33029658,41387808,49948953,49948952,61426472,74205035,77499246,64334912,52467289,42114678,33160289,25419248,25419249,268396411,15864248,10995535,7278823,7278822,10995532,15864241,21955988,17534732,13192617,8993527,5871709,5871710,8684366,5651245,5651246,8684372,12776046,16044161,22166999,29507310,38070938,47983047,49433313,39502104,39502105,258847509,84081092,70544010,57842067,46485962,46485964 Dl.O(d2) = 20967323,268064947,10383300,10383774,6843232,6821514,4852273,4279278,2558527,2558526,4279273,6821195,10357179,9081927,9081928,254912643,16495517,22698497,18684777,13847129,9499101,9499102,13847132,13318607,13318606,14075845,19639422,26372594,257267087,65942549,79307038,93437669,107865360,122278685,136252516,149515920,161820925,172988462,182890103,191537407,198969256,205252638,210452430,214700952,218196179,221131494,265501813,227719082,226266936,224137939,221682713,218823455,215438269,211342320,206330655,200269605,193093141,184731161,175154798,164363205,152497065,139777391,126402844,112532975,98538777,84614292,71050219,58334349,46966539,37085297,28580786,21351297,21351296,27249669,20317144,20317142,20317143,27249665,21351293,15375243,15375244,21351295,28580783,37085293,46966538,58334347,71050217,84614290,98538775,112532974,126402843,139777389,152497061,164363201,175154794,184731160,186872185,177584857,167078942,155438659,142856210,260393096,101610437,87643367,74039853,61259890,257302858,39761951,31083857,23600010,23600009,26316532,26316531,34188314,30516317,30516318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9530057, s2 = 14114258, dlinesl.size( ) = 2 s1 = 9530057, s2 = 14114258, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9530057, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 11236474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236474, s2 = 8369534, int(edited[s2]) = 0 s1 = 11236474, s2 = 8369534, d1 = 20, d2 = 15 Dl.O(d1) = 4527353,7186305,10869070,15700922,21754935,256353447,36858467,256839093,58110148,46902574,46902573,58268402,58268409,46902590,37299400,28766498,28766499,31215838,39893157,36879452,28382996,21165270,21165271,256302149,46591541,36879460,28383002,28383001,28213520,28213521,36704747,46591590,57967923,70685915,58126585,257024708,57969459,57969460,58268427,58268426,61393613,61393614,61393602,61393603,58126576,46758207,46758209,57967902,46591578,257407695,70685905,70841109,58126693,58126692,70841106,84398360,84238469,70685889,57967891,46591566,46591565,49277679,39350979,30750746,30750747,39350984,49277682,60585018,52388248,42044156,42044157,52388250,57967818,57967819,70685820,77395014,64244195,52388313,42044208,33096120,33096119,42044202,52388303,60585082,60678690,73426423,84239537,70841082,60678516,50180520,40155690,40155691,50180523,61665782,73329270,62532523,50928766,40809116,40809115,50928760,60678696,62532435,74449671,70694575,57976490,46599323,42044035,33096015,33096014,33096069,25362586,25362588,33096073,42044128,42044173,33096099,25362604,18779932,18779933,25362605,33096104,42044183,52388278,52388258,42044162,42044164,52388262,50928733,49185085,40256008,40256007,39350915,39350914,49277586,52388321,46758295,44366673,44366674,49185179,39259334,30663542,23246583,23246584,30663532,30663518,30663519,32048925,40809122,40809080,40809078,255144506,40155710,40155714,46673374,46673330,46673332,46598508,36710445,36710446,40809104,32048919,32048918,40809101,50928722,62532478,64244123,64244122,77394973,84245646,86939738,78249317,64975546,64975545,57975673,57975672,70693673,84245606,89207158,103302327,117437864,268973162,268426448,50928744,40809109,40809108,50928740,60317436,70694902,257024582,257024584,257408659,36710514,36710513,46598618,57975702,70693691,259269673,98233392,84326064,70766889,257024686,46673352,58048226,58048228,57976911,46599733,46599732,57975693,70688004,70688005,70693654,70693653,57976734,46599589,36711327,28218701,255375369,15099735,21023667,28218706,36711340,36711490,255802395,21023758,28218825,36711498,35178541,35178540,44556220,55403067,55696959,44789678,44789679,270154321,257408599,46599076,258018713,57969785,57969784,70687537,57970252,57970251,70687534,57969776,256828537,256828539,46593820,36706754,28215262,28215265,36706757,46593825,55403069,67742207,81207075,84240281,84240260,258018057,46593720,46593721,57970137,57970215,57969494,46593160,36706215,255802391,15099800,15099799,21023753,28218816,36711480,35178544,35178545,44556228,55403078,67742214,59521089,48134118,46596841,36709152,36709154,46596835,57973610,70688472,57976608,46599441,36711182,36711183,46593898,256828585,28215234,21021095,21020942,15097769,15097770,21020943,28215030,36706452,36706666,255801895,21021078,28215203,28214816,28214817,256828519,268604313,21020755,256290075,257407879,36707083,36706049,28214656,21020639,15097523,10412501,10412502,15097526,21020644,28214661,28218585,36711187,46599447,38224090,38224089,36706233,28214802,21020751,21020750,28214798,36706224,46593163,36706729 Dl.O(d2) = 2575734,1483529,1483527,2575732,4307593,6863680,4307701,254220847,839079,473077,265874,147205,147204,265871,473076,254156505,1483536,1483537,254326905,254220877,1483661,2575974,4308045,6864427,10412525,6863699,4307608,2575741,1483532,1483533,2575744,4307616,6863714,6864512,4308094,4308095,6864514,10412498,6863678,4307591,4307592,4308065,6864456,10413811,10413863,6864495,267822491,1483678,839138,839137,1483573,1483571,254326919,255375069,28215437,35179289,35179288,36707382,46594599,258642719,259269603,70692598,58772403,57972987,46598191,36710221,28217898,21023054,21023053,28217305,28217306,28217314,36709317,46597076,36709511,36709510,258643011,70688523,57971026,258018119,259269283,98136484,84242458,70690274,70690273,57972824,46596026,36708430,36708429,46596024,57972820,70690751,84242960,70693062,57975202,46598218,46596516,36708819,36708818,36710564,36710565,46598688,57973422,70691290,70691256,70691257,70692797,84244737,73554942,73554944,81601224,81601226,84242001,98136023,258642883,70690626,70690627,84242876,70693348,269302877,36710360,36710359,46598380,57972963,57972962,70690893,74447917,87172840,87172842,101170124,101170073,87172772,73554997,73554990,73554991,73554937,60808526,60808524,257615103,49408267,60808540,70690793,258040698,259291814,87172709,84243008,70690802,70690801,73555046,84242887,70690636,70690637,84242891,258665052,49187959,49187960,60588134,68112463,68112464,81601275,85899581,84243092,73555002,60808596,49408300,39478981,30874333,23444702,17169859,12072567,8118174,5200841,5200843,8118181,12072579,17169879,23444732,30874354,39479018,49408361,60808648,73555051,87172812,259291806,258813582,52558928,49408127,39478862,30874250,23444651,255986707,39478864,49408132,49408118,39478857,30874244,23444649,17169826,17169827,23444650,30874248,39478860,39478873,30874254,23444654,23444655,30874258,257034119,49188021,39262131,39262132,49188024,39479025,30874356,23444719,17169869,255538689,30874359,39479030,49408378,60808669,60588187,258828793,47384829,37477372,37477371,47384826,58771967,71501370,85073515,98999108,112988674,112988665,98999110,88463770,74830433,62034050,258198424,24296049,31811386,40507076,50542467,62034057,74830448,88463789,88463777,74830440,74830439,70692531,57974628,57974627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236474, s2 = 8369534, dlinesl.size( ) = 2 s1 = 11236474, s2 = 8369534, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11236474, Dl.E( ) = 22, 1.69e-05 seconds used appending s1 = 14037502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 932082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8013452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13517841, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8114361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8114361, s2 = 3778211, int(edited[s2]) = 0 s1 = 8114361, s2 = 3778211, d1 = 49, d2 = 15 Dl.O(d1) = 33848189,255707136,30095034,32299431,26027506,19350671,13839515,9492788,6225548,6225550,9492791,13839520,10727154,7087446,7087447,9456995,9456996,13791941,14369037,20054784,26940827,35021794,31780134,31780133,28424070,268623884,268449530,256043420,25960966,19295804,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,15235717,10510221,10510222,15235722,21200837,25962235,33771560,26616574,19807645,14188086,9753356,9753355,14188079,19807630,26616550,24149921,24149919,31660349,35357135,27234461,20304988,17888790,12671043,12671044,17888796,24267612,31780147,25104078,25104077,25960987,19295818,19295819,25960991,28422904,25960964,19295802,19295794,19295795,15235238,10510182,10510181,15235640,21200729,21200772,28424010,31778681,24266156,23787063,21200826,15235711,15235712,20305006,21276167,28493045,31660341,24149914,24149915,25962639,19807617,19807616,26616534,31877519,24352581,24352582,31660346,40355303,44781206,35357128,31780121,24267599,24267600,31780126,36920856 Dl.O(d2) = 9161789,13400829,268295709,33137015,42088917,41379371,257155203,63328470,76359906,90187764,104339929,118523593,132363209,145609270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8114361, s2 = 3778211, dlinesl.size( ) = 2 s1 = 8114361, s2 = 3778211, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8114361, Dl.E( ) = 66, 3.39e-05 seconds used appending s1 = 14102981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8332492, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10353074, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13234263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13234263, s2 = 750638, int(edited[s2]) = 0 s1 = 13234263, s2 = 750638, d1 = 7, d2 = 7 Dl.O(d1) = 62488003,75406052,78413236,65131558,53146565,42695947,37074963,28571832,21343709,15368733,10619057,7007927,7007926,10619053,15368726,21343702,28571824,256857213,58322228,258417255,52706371,42319210,256337566,18971380,13536184,13536186,18971384,25579529,33338757,37738227,37753401,37735055,29198590,21886203,21886204,29198591,37760097,268078626,38761637,30178411,22789512,22789513,30178414,38294387,29727423,29727422,256362564,59590201,50405847,40370477,31676251,24167083,24167080,24167081,31676250,254417050,24170939,31679034,255197422,256039520,257094406,60359448,48964262,39042880,256358730,268393544,11745960,7842120,4977998,3007122,1746990,1746988,3007108,4977962,7842040,11745820,16798954,23044728,30453055,30311341,30311342,38897343,31278078,31278077,37345630,29679267,22327936,22327937,29679269,38244096,29765680,29765681,23044419,23044421,30452665,30452743,37012301,28513285,21292559,15326578,10585873,10585874,15326583,21292569,28513302,30453317,39042769,48964137,268538776,58647434,58647433,71382926,58824093,58824094,71552284,59825159,48439156,38531001,38531000,268964765,257001509,38045928,38045929,47959081,256996330,37345730,46891360,47255136,47255135,58258403,70974091,71382861,62961267,59539361,48152926,38244035,29679219,29679217,30637686,28807569,21540372,15524237,15524236,21540368,28807557,37345746,37659414,29109562,29109564,37659423,47565531,48931117,48931118,49162374,39905327,39905326,49162440,49162368,39235643,30637645,23214607,23214601,23214602,22619742,16435075,16435074,22619738,29987143,37012396,28513368,28513366,37012388,46891387,58258393,49969687,47917946,47917944,58125107,258029101,73305872,86916307,98883117,259493120,258251234,73305843,73305842,65102231,65102230,78385980,78385969,65102218,53115469,53115470,49161829,49161831,53682405,43171969,43171968,53682401,65738716,79094825,257059762,60681120,49280291,49280290,49162307,49162308,41028319,39235601,39235600,49162305,41028335,41028336,51184860,62834978,73305899,73305898,86916325,86916106,86916107,87864214,75799179,73305835,60562128,49162321,49162322,60329231,60329232,60562377,50106612,40086042,31405649,31405650,40086044,39235161,30637241,254951296,16942352,23214235,30637235,30752993,39353496,49280268,42663466,33634082,25831351,19178650,19178649,23330550,17063784,17063785,23330557,30753005,39353523,49280301,258835749,85568231,71981113,59243927,47847372,37927524,37927523,47847370,58655561,47263744,37354121,37354122,47263747,48931056,42663445,34088629,34088630,39007357,30418113,30418114,256999569,59243809,47847178,47847177,39007346,30418110,30418111,39007349,47847138,37927303,29360918,22030319,15929050,11052220,7327775,254761527,15929046,22030313,29360914,37927297,47847132,47435296,37527773,255854600,255854602,31278205,37820447,39953118,39797015,39797016,49817674,41105784,40104494,31424603,31424604,40104404,31424547,23933985,17591219,12416919,8392555,8392556,12416924,17591229,23934001,31424575,40104452,46792678,46792680,43171988,43171987,48964485,60359692,70874631,72505187,59771176,48388289,48388290,50124649,256889218,255854586,22565194,255099219,11403848,16385167,22565199,28984580,28984581,36914931,28417200,21934125,21934124,29255197,37820466,30453040,23044715,23044713,255854736,48963665,60358759,257496448,33452247,25680964,19102549,13638672,9339396,9339394,13638661,19055688,19055687,22434881,16267070,255472955,29801240,38373210,31700370,24192350,24192351,20285486,14555447,14555445,20285484,25688871,33460909,32162834,32162835,29798761,29798760,25623578,19008977,13566797,13566798,19008979,25623582,256596604,48282184,44565872,268145042,27098676,31756449,40451352,42378914,47684811,37762612,37762613,31656666,24248831,17871736,12655883,8592478,5583015,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,7424773,11190106,9316400,6102859,267934003,19058223,257217959,48678710,255982430,22785628,16656692,11624286,7742584,7735481,7735483,11430893,11430894,7691962,7691964,11553237,11550006,7691286,7691287,5964946,5964944,9116639,11545767,11545768,16563578,22778875,30167871,256979947,60068934,72806621,86402196,99618043,85669530,72083281,59350147,257503962,29482943,22144846,16026288,11127338,7380534,255076061,7380534,4662743,2809096,1629616,926632,926631,1629614,2809093,4662741,7380524,4662735,4662736,2984781,1732905,985181,554580,310318,310319,554582,985185,1732914,1732909,1732908,2984786,254347900 Dl.O(d2) = 62488003,75406052,78413236,65131558,53146565,42695947,37074963,28571832,21343709,15368733,10619057,7007927,7007926,10619053,15368726,21343702,28571824,256857213,58322228,258417255,52706371,42319210,256337566,18971380,13536184,13536186,18971384,25579529,33338757,37738227,37753401,37735055,29198590,21886203,21886204,29198591,37760097,268078626,38761637,30178411,22789512,22789513,30178414,38294387,29727423,29727422,256362564,59590201,50405847,40370477,31676251,24167083,24167080,24167081,31676250,254417050,24170939,31679034,255197422,256039520,257094406,60359448,48964262,39042880,256358730,268393544,11745960,7842120,4977998,3007122,1746990,1746988,3007108,4977962,7842040,11745820,16798954,23044728,30453055,30311341,30311342,38897343,31278078,31278077,37345630,29679267,22327936,22327937,29679269,38244096,29765680,29765681,23044419,23044421,30452665,30452743,37012301,28513285,21292559,15326578,10585873,10585874,15326583,21292569,28513302,30453317,39042769,48964137,268538776,58647434,58647433,71382926,58824093,58824094,71552284,59825159,48439156,38531001,38531000,268964765,257001509,38045928,38045929,47959081,256996330,37345730,46891360,47255136,47255135,58258403,70974091,71382861,62961267,59539361,48152926,38244035,29679219,29679217,30637686,28807569,21540372,15524237,15524236,21540368,28807557,37345746,37659414,29109562,29109564,37659423,47565531,48931117,48931118,49162374,39905327,39905326,49162440,49162368,39235643,30637645,23214607,23214601,23214602,22619742,16435075,16435074,22619738,29987143,37012396,28513368,28513366,37012388,46891387,58258393,49969687,47917946,47917944,58125107,258029101,73305872,86916307,98883117,259493120,258251234,73305843,73305842,65102231,65102230,78385980,78385969,65102218,53115469,53115470,49161829,49161831,53682405,43171969,43171968,53682401,65738716,79094825,257059762,60681120,49280291,49280290,49162307,49162308,41028319,39235601,39235600,49162305,41028335,41028336,51184860,62834978,73305899,73305898,86916325,86916106,86916107,87864214,75799179,73305835,60562128,49162321,49162322,60329231,60329232,60562377,50106612,40086042,31405649,31405650,40086044,39235161,30637241,254951296,16942352,23214235,30637235,30752993,39353496,49280268,42663466,33634082,25831351,19178650,19178649,23330550,17063784,17063785,23330557,30753005,39353523,49280301,258835749,85568231,71981113,59243927,47847372,37927524,37927523,47847370,58655561,47263744,37354121,37354122,47263747,48931056,42663445,34088629,34088630,39007357,30418113,30418114,256999569,59243809,47847178,47847177,39007346,30418110,30418111,39007349,47847138,37927303,29360918,22030319,15929050,11052220,7327775,254761527,15929046,22030313,29360914,37927297,47847132,47435296,37527773,255854600,255854602,31278205,37820447,39953118,39797015,39797016,49817674,41105784,40104494,31424603,31424604,40104404,31424547,23933985,17591219,12416919,8392555,8392556,12416924,17591229,23934001,31424575,40104452,46792678,46792680,43171988,43171987,48964485,60359692,70874631,72505187,59771176,48388289,48388290,50124649,256889218,255854586,22565194,255099219,11403848,16385167,22565199,28984580,28984581,36914931,28417200,21934125,21934124,29255197,37820466,30453040,23044715,23044713,255854736,48963665,60358759,257496448,33452247,25680964,19102549,13638672,9339396,9339394,13638661,19055688,19055687,22434881,16267070,255472955,29801240,38373210,31700370,24192350,24192351,20285486,14555447,14555445,20285484,25688871,33460909,32162834,32162835,29798761,29798760,25623578,19008977,13566797,13566798,19008979,25623582,256596604,48282184,44565872,268145042,27098676,31756449,40451352,42378914,47684811,37762612,37762613,31656666,24248831,17871736,12655883,8592478,5583015,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,7424773,11190106,9316400,6102859,267934003,19058223,257217959,48678710,255982430,22785628,16656692,11624286,7742584,7735481,7735483,11430893,11430894,7691962,7691964,11553237,11550006,7691286,7691287,5964946,5964944,9116639,11545767,11545768,16563578,22778875,30167871,256979947,60068934,72806621,86402196,99618043,85669530,72083281,59350147,257503962,29482943,22144846,16026288,11127338,7380534,255076061,7380534,4662743,2809096,1629616,926632,926631,1629614,2809093,4662741,7380524,4662735,4662736,2984781,1732905,985181,554580,310318,310319,554582,985185,1732914,1732909,1732908,2984786,254347900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13234263, s2 = 750638, dlinesl.size( ) = 2 s1 = 13234263, s2 = 750638, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13234263, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9831223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9831223, s2 = 1729256, int(edited[s2]) = 0 s1 = 9831223, s2 = 1729256, d1 = 15, d2 = 16 Dl.O(d1) = 87857183,258043996,49996875,39980270,39980271,49996877,256837178,34093652,26231541,26231542,256697909,43177814,43177813,43177838,43177837,39980330,39980329,43177806,53688667,55492126,58367255,58297382,48485786,38572592,30001985,30001969,30001970,38572581,47093321,37197562,28675155,21427224,21427223,28675151,37197560,47093319,43881125,39980318,37197555,28675146,21427220,21427219,28675144,37197552,47093314,47648788,43059886,34001615,28589191,28589190,37095644,37197569,35135451,33977921,33977920,37111458,46996952,49996912,39980314,31305286,31305255,31305256,39980281,46931339,37053021,37053020,37053009,37053010,37053012,43177779,34093635,34093636,43177783,53688642,53688646,43177791,34093640,31305308,255562595,17483194,23818214,31305306,26621249,26621248,34609975,37197566,37197567,31305310,31305311,39980338,43059890,34001623,26159904,19460185,19460183,26159901,31305229,31305227,35135452,27049746,27049745,31305281,23818194,255173441,8327332,8327333,12327083,17483187,21327950,15355994,10608828,10608827,15355992,21327941,28552860,27049748,20156860,20156861,27049750,35135459,44512402,55358943,55358948,44512406,44512405,257845989,46931341,37053023,28552869,28552870,37053032,43283515,43059853,34001587,34001588,43059856,34001607,26159894,19460178,19460179,26159898,256694135,34001625,43059900,39388209,39388208,35135493,31305269,23818184,23818183,31305264,39980289 Dl.O(d2) = 37111512,37111513,37111491,28602467,21368987,15389099,15389097,21368981,28602460,28602472,28602496,37111526,39980296,46974529,43209724,34122406,34122404,43209720,46974527,37091538,28585733,21369027,21369026,21630315,28602580,21369102,21369103,28602584,37111617,44512462,46997037,37111533,37111534,46976674,37093460,37093459,43209728,43209729,53721639,58367201,46997009,37111548,28602515,21369028,21369030,21369097,15389166,15389165,21369093,28602492,255829190,10635229,7020596,7020595,10635226,15389109,15389089,15389090,21368972,21368975,28602450,34122410,26257108,19538438,19538436,26257105,28585742,21355205,21355206,28585746,37091547,37091556,37091557,37111554,37111622,28602591,28602593,37111625,46997086,46976675,37093467,28587316,21356482,21356479,28587308,37093451,34122437,26257132,19538453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9831223, s2 = 1729256, dlinesl.size( ) = 2 s1 = 9831223, s2 = 1729256, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9831223, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 2094401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8143055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8143055, s2 = 11015714, int(edited[s2]) = 0 s1 = 8143055, s2 = 11015714, d1 = 58, d2 = 124 Dl.O(d1) = 3289234,3289235,5351914,8296036,9119733,8196547,6881242,6881241,10438319,15134544,21069679,28272632 Dl.O(d2) = 255790702,27973606,27973605,36432584,36432585,27973606,27973605,36432583,36432585,27973606,20810021,14914392,10255227,6738713,6738714,4970851,4231364,4231367,6752711,10275238,14939941,15599010,15599011,20187002,20291525,15599102,15599101,19149874,19501438,19501441,17950331,17950332,17950464,12720177,8643139,8643137,12720175,17950460 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055086, s2 = 2494025, int(edited[s2]) = 0 s1 = 11055086, s2 = 2494025, d1 = 9, d2 = 7 Dl.O(d1) = 98567446 Dl.O(d2) = 71119075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055086, s2 = 2494025, dlinesl.size( ) = 2 s1 = 11055086, s2 = 2494025, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11055086, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 2853314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9762439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14857283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14857283, s2 = 14099018, int(edited[s2]) = 0 s1 = 14857283, s2 = 14099018, d1 = 38, d2 = 8 Dl.O(d1) = 6513788,6513792,6514273,9911899,14411580,17790759,12592122,11814929,11814931,16885766,23146065,17719811,12536182,12536181,17707122,12525165,12525164,17707119,24062332,21761464,15705952,15705953,21761467,23407349,17133152,12040509,8094557,5185845,5185846,8094562,255148981,255983505,17133647,12040848,12040846,12040492,8094537,8094536,12040489,17133119,23407318,30836331,37032453,30622082,30622081,256485597,23407339,23407340,30836354,39440324,39440337,49368958,39726366,31592875,24089511,17731932,12545243,12545244,17731935,24089515,26324400,19597727,19597729,23408065,23408066,30837067,38045370,38045380,29482146,26324561,19597840,14042222,14042221,19597834,26324548,34197327,38102776,29539324,29539325,30836203,23407191,23407190,30836200,31047554,23563387,17252363,12132699,12132697,16067822,11156955,11156956,16067827,21262738,15299920,15299923,21262746,19678054,14106975,14106974,12040688,12040689,17133409,21446480,21446481,28698295,37224114,255892408,30630689,30630690,39228619,43010461,53488592,49411686,48988177,39064615,38843751,30259960,30259961,37340555,28802546,21536071,255041205,7092341,7092345,10734395,15521039,21536084,28802576,22864072,22864071,30259941,38843719,42780792,53232022,65220634,60554142,256489100,38843785,30259975,22864086,16636899,11605304,11605303,16636897,22864082,30259966,38843763,48763355,39481706,39481704,49411510,41315089,41315090,269466003,58632812,47239476,37329720,28792616,28792617,37329724,47239479,58632814,48763363,48763364,48045194,48045193,49154280,39227994,39227996,49154282,54676735,66933448,80359379,72893064,72893065,73297119,60554139,60554140,60157144,48763378,38843779,30259973,22864085,22864084,30259970,38843772,48763374,48763352,48763353,60157123,71369405,73125968,60385749,48988168,39064608,30472786,23062654,23062655,30472790,39064620,30472799,30472798,39064630,257583431,73125956,60385739,60385738,54676737,54676736,60385782,73126005,258222918,60157093,65331414,65331415,62684180,51053444,51053443,62684177,75629170,84532718,84532719,86731447,257227548,78617487,78477157,65192882,53207347,42757790,33728214,25921502,19259673,19259672,25921499,33728209,42757784,257828269,78477142,73297112,60554124,53333979,53333978,65331485,78379021,65095116,65095112,78379016,92416334,92682257,92516933,84777976,71209169,58487409,47109297,47109296,53333953,65331440,71097229,71097230,65331442,65331443,78627981,92682236,78628010,269941048,42872824,33831662,26013639,19339359,13830694,13830695,19339364,26013641,256684451,53333983,65331491,65095122,65095121,65192859,78477131,78627976,65331438,53333952,42872814,33831657,33831658,42872816,53333956,65331445,78379028,65331472,65331471,78627960,65331423,65331424,71139458,58418029,58418030,53333937,42872806,42656312,33627430,25825502,25825501,33627428,42656307,53108206,65095118,71139468,71139467,78371586,84660130,98583586,84660106,71097185,58380626,58380624,71097184,84660103,269940814,53207342,53207343,65192876,78477148,78627970,65331434,53333950,53333948,47009629,256325010,15394957,15394960,21376510,28611982,21437635,15442749,15442750,21437639,256326735,37122760,28611985,28611986,37122762,37122694,28611942,21376490,21376489,28611937,37122687,47009550,58380607,47109444,47109445,47109422,37212535,28688000,21437681,21437682,21437683,21437697,15442783,254734267,4438775,4438774,7051949,10676437,15442761,10676429,10676430,15442765,21437665,28687870,21437610,21437611,21437730,15442796,15442795,21437724,28688060,28611972,28611971,32445854,40911540,51053424,47109225,37212359,37212360,47109229,42110065,42110064,37212557,28688022,28688023,37212558,32445849,24810954,24810953,32445844,24830218,24830217,32469683,41315085,47109278,47109279,51053588,58487388,58487387,60462404,49058769,39128782,39128780,47109270,51499890,51053488,40911584,32133784,32133783,40911582,51053486,62684222,62684273,75629279,84778088,73558186,71209349,71209350,84777955,257615408,60811837,60350784,48954026,48954025,60350782,73090545,255538816,51053562,40911627,40911626,51053560,62684220,62684277,51053540,255538812,39481596,49411406,51535912,63252634,60811768,49411344,39481532,30876309,30876305,39481525,49411330,256489112,257615414,40911613,268461409,24552789,32133798,40911610,51053534,49821285,49821284,61301061,74082251,87689260,86312605 Dl.O(d2) = 261349766,158734178,260182604,133135388,119304726,115291917,101213594,87212634,73590465,73590466,87212636,77049108,63936311,63936312,77049110,90929967,105110983,119304728,133135392,146363862,133135385,258314712,90929963,77049106,63936307,56832294,56832293,45662071,35986166,35986165,35986162,27667347,20604363,14777389,10163196,6678014,6678015,254992067,20604364,255773151,35986167,45662072,56832296,56832300,258590719,82935207,82935205,82935204,96873157,107905158,107905157,110914797,110914798,107905160,107905159,260360583,93473035,93473036,107905163,122325879,122325880,136307620,149576935,152541909,139825790,126453524,112585129,261651873,147153459,133929457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14857283, s2 = 14099018, dlinesl.size( ) = 2 s1 = 14857283, s2 = 14099018, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14857283, Dl.E( ) = 40, 2.29e-05 seconds used appending s1 = 6478814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6478814, s2 = 6802480, int(edited[s2]) = 0 s1 = 6478814, s2 = 6802480, d1 = 13, d2 = 11 Dl.O(d1) = 254999592,7624067,4823641,4823643,7624077,7623910,7623909,7055150,4441326,4441325,254500748,15447842,256327155 Dl.O(d2) = 258679549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6478814, s2 = 6802480, dlinesl.size( ) = 14 s1 = 514544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352201, s2 = 7859709, int(edited[s2]) = 0 s1 = 10352201, s2 = 7859709, d1 = 35, d2 = 30 Dl.O(d1) = 272859285,258754985,260010742,16184232,22330482,29681900,38246741,48155899,40305427,38126039,29560556,22215144,16083524,16083526,22215146,29560562,38126045,30492058,30492059,29557612,22212408,16081201,16081203,15878270,15878271,21971906,29298622,35172237,27083769,27083768,35172234,42641493,47666082,37745392,255867924,255095729,7528573,10507405,6928746,4352967,4352963,6928735,6928796,6928793,10507515,7528582,254723195,6928787,10507502,15232045,21196053,28418295,29695510,29695511,256943637,38261821,48171387,257017352,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695670,23202506,23202505,30624875,39222620,38293706,29726784,29726785,38260978,29695146,22341704,22341706,29695149,38260909,29695088,22341657,16193099,16193100,22341661,29695095,38260917,48170537,59557275,72291570,72291671,59557830,48284593,38373804,38260959,29695317,29695319,38261176,38261328,38261327,48170955,38261722,38261723,48171307,59557534,48170889,48170887,48170996,59557314,59557486,72291580,59557816,59557817,48284565,38373782,38373783,35232249,27137499,27137501,35232256,44613591,44613590,38260901,38260899,48170527,47357791,37451256,28911633,28911634,37451260,47357838,39223866,39223864,35232172,35232171,44613481,47792397,37867936,29298729,29298730,37867943,255813112,49318649,43420400,255342868,19702576,14127016,9719068,6393697,6393692,8046321,5136431,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,4037932,4037931,6437035,9791428,14243482,14244250,15866212,13332754,9109815,9109814,9791379,6437016,4037920,2419621,2419622,4037926,6437025,9791408,9905060,14400377,14400397,14225015,9779083,6429655,4033752,4033750,6429649,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333129,18729315,267867150,254953610,268319180,59025809,59363482,72096709,62953818,55462055,55462056,47622595,37699375,29138662,21831281,21603215,21603214,256339671,256358198,37699424,47622631,58790916,47403423,47403424,256358202,49318666,58717070,62046402,52039019,41723695,41723694,37699100,37699099,37699307,29138583,29138582,29138638,37699352,47622575,55268867,47328256,37420036,28878437,21831315,21831314,21831289,15762891,10916635,7219711,7219713,10916641,15575450,15575451,21603252,28878576,37420211,47328415,41723658,37699419,29138692,29138690,37699412,39390629,37495673,28953088,28953087,30788177,30788201,30788202,29140106,29140108,37700915,41756209,32835061,32835060,254342106,254750152,47623913,37700922,29140111,28878512,24304489,24304491,24304499,31820859,32803562,25101672,18553221,18553222,25101675,21831260,15762867,15762864,21831251,29097826,29097823,29138544,28382646,21165032,21165030,21830936,15762595,15762594,15762845,10916614,7219703,7219705,10916621,15762858,21831245,24013800,24013711,24013712,22239220,16103680,11185760,11185759,16103673,22239209,29587071,29139858,21832326,21832327,21672832,15635412,15635413,15763913,10917379,10917378,12697355,12697354,17920868,24304511,31514609,31514608,25101661,25101660,20169020,20169021,15763950,10917402,10917404,15763959,21832626,26372790,21165027,15208337,15208335,21165021,28382625,21672803,15635401,15635400,15762841,21831209,21831381,15762961,15762958,17666033,12492283,12492280,17666020,22239193,16103663,16103662,22239191,28417799,29097853,21800413,15740426,11297417,11297419,10819886,10819884,15635420,21672863,17920862,12697349,11850063,11850064,15762159,15762160,17666041,24013768,31514622,35148916,29140157 Dl.O(d2) = 55450544,44601516,35220541,35220540,44601441,268228288,268640400,257536416,86069972,86069971,72471885,255916834,55449984,49365848,39436972,30832773,30832772,39436968,37326543,28790078,28790079,30877530,23447122,23447123,30877536,27126784,20222085,14510900,9985042,6562831,6562832,9985005,9985004,14510830,20221952,27126741,27126872,35220455,44601425,44601586,44600933,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,49367973,48828863,39437327,30833178,30781855,23357111,17088850,12001321,12001320,17088847,23357104,27126927,27126987,35220586,44601011,44601007,44600867,35219986,256485408,32470181,41315705,257030642,28813083,37351773,47261245,53145694,58653001,47261199,47261201,58653003,71388149,58653037,58653036,58653017,55450096,44600896,43862026,41177200,41177199,47261153,47261154,58652964,47261169,37351702,37351703,47261172,58652980,256485306,58653023,58653024,48390399,48390398,58652848,71388081,58652985,268664362,60768153,49365575,49365574,60768152,70972363,58256662,46889555,46889554,58256661,58468959,47091067,37195299,37195295,37351648,37195277,37195276,44552124,35174470,27086082,20187822,20187823,27086088,28673077,37195348,47091134,58469018,58468919,58468920,47091267,37195523,28673202,28673204,28673156,28673141,28673139,37195390,28673112,28673113,37195397,47091199,39436159,30831897,23403570,23403571,30831901,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,15433486,10669498,7046764,4435038,4435037,7046757,10669486,15433463,21425481,28673128,37195437,47091247,58469106,256915729,29312475,29312476,37195508,255834461,21425514,28673198,29823266,22456108,22456107,29797606,38370326,48281620,48919439,52090992,63909914,52091194,256622515,32857098,25150266,18593484,18593483,25150263,32856883,32856882,41777449,268975422,38310327,29741782,29312517,29312518,32856841,32856840,41777412,37881437,29312470,21984491,15888513,11014145,11014144,15888507,21984480,22430953,16263603,11307622,7507456,7507455,11307617,11307642,16263655,22431039,29797580,38370303,32856959,29797558,22431030,16263648,16263647,22431024,29797566,32857125,25150248,18593476,13213043,13213040,18593467,25150238,32856935,25150110,25150111,22382828,16225146,11279021,7487068,7487069,11279027,16225156,22382847,29741792,38310340,48171056,38261418,29695538,29695537,37881402,29312431,21984463,21984462,21984544,21984543,22431098,16263705,11307665,7507477,4745641,4745639,7507472,11307652,16263672,16263616,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888578,21196343,21196342,21984468,21984467,21984602,15888575,11014170,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467910,12049405,12049404,16058408,16058409,20932762,256197160,17188845,12086419,12086420,17188862,23469381,29260200,28482501,22793323,16576945,16576946,22793325,30182862,36943153,36943152,31499707,31499708,40183939,40183942,40184484,40184483,40184698,39862417,39862416,40186263,40186527,40186526,46347356,42021468,42021466,52360351,55446955,49062820,39132934,30534361,29778903,22413986,22413985,29778899,38351234,29903155,29903157,29778908,25348480,25348479,33078917,25348255,22547699,16371673,11393605,7569996,7569994,11393598,16371656,22547720,29903351,38460206,48361725,59745060,50207268,40184867,31499832,24001806,17657272,12486415,12486416,17657274,24001809,31499838,31499880,24001832,256028563,21800223,21800222,29097629,37646370,29336977,29336979,23654610,23654611,23654598,17337584,12211639,12211636,17337574,23654581,31141960,39824627,31179714,31179713,256523622,31169610,23681379,17361207,12231499,8259178,6906525,4337862,4337861,6906521,9410883,9410882,6906358,4337763,2596901,1498066,848925,848927,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474516,10474526,8540205,8540204,12587970,10510513,6930948,4354688,2608469,2608470,4354693,6930959,5538228,5538230,8540101,12587824,16893560,22735524,16529158,11519928,11519930,16529160,22735529,30116802,31577075,254301470,17830242,17830246,22181050,16054759,11147531,8512539,5511619,5511618,8512531,10437634,10709457,10709455,15486955,21492954,17439569,12638655,8581040,8581038,12638651,17740195,12681387,8613104,5598469,5598470,8613107,12252564,8274966,8274965,8275336,12253099,17388085,23711665,24158819,254281644,31170218,31170219,24096975,24096974,30186133,22796361,22796362,17789093,17789092,24156160,254416458,39880146,31688330,24179677,24179678,24133746,24133747,25130856,30572608,23154857,16893557,11821782,11821783,11474069,11474067,13486484,9227102,9227103,13486487,18917704,21247025,17361276,12612778,8561178,8561176,7389666,7389665,5486712,5486708,8485808,12523859,17705433,23683225,17847574,12638874,8581289,8581286,8581166,254300432,1176180,2050682,3458817,5575528,8581172,12638759,16892834,17774788,17774789,24139064,23739916,17415723,12274912,12274911,17415721,12556787,8513335,5512031,5512029,8513326,12556767,17746404,24104910,31603574,25131948,25131949,30567397,23150062,16889356,11818122,11818121,16889353,23150055,17106962,17106963,23376729,30804753,30573454,23155974,16894672,16894669,23155960,17819215,16795680,12556572,8513223,5511975,5511976,3450316,3450319,5566436,5022051,3039814,3039816,5022062,7900668,9188449,6014019,6014018,9188443,11822927,8484943,8484946,9189531,7900947,5022360,5022363,7900958,11822668,13441359,17734117,12547434,8506731,8506730,12547432,17734113,13159728,8969920,5855726,5855725,5560596,254192110,12616248,11152469,7397187,4673102,2815376,2815375,4673101,254419712,7894150,5014955,5014954,7894149,8563918,5560643,5560644,5560665,5560663,8563958,6016931,6016933,9191291,13441938,18865068,17724404,12539901,8500992,5502604,5502603,8500984,7901177,7901180,11823082,16895179,12615228,8563202,5560285,3445021,3445019,5560280,8563190,12615209,17817835,23155254,16893931,16893930,13442131,254415696,24187655,23709968,17812934,12611112,8559782,8559779,12523296,12523295,11743817,11743816,12560561,12560562,17752036,23040827,17818221,12615482,8563364,8563363,254615158,22664991,24063941,24063942,267916050,40397639,33211213,25463582,18863438,13440522,12624089,12624088,17828819,17746341,12556725,12556727,17746353,24104853,22665110,16470202,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496285,17838831,17703777,14456183,9945506,6536541,4095412,4095411,6223126,6536665,6536664,9945713,6536710,6536709,9945780,255332209,27044942,23040767,17746478,12556814,12556813,14453910,20149121,19703712,19703713,19701127,19701129,19703757,19703756,16795996,16795998,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24071112,17714875,17714874,17839221,23406550,24166742,24166743,26893440,20012249,20012248,26444105,255086706,34972458,26893499,26893498,34972457,27044923,27044924,254202108,12051575,254145632,254295376,26893374,26893375,20148818,14453683,14453684,14332548,9845730,6466448,4051548,2424711,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713532,4713563,4713561,7459396,11238767,14127095,9719124,9719126,14127120,19702719,17065956,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,1427771,1427770,2470173,4129391,4129392,6591329,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331966,17372124,23694457,29667501,23694478,17372137,12240057,8265617,8265619,12240061,12240072,8265624,8265625,12240075,17372158,255165868,10898608,7208147,4541742,2730239,1582003,899386,899385,1582000,2730235,4541735,7208136,7208188,7208187,5366584,3299223,3299224,5366589,8316785,254842154,9740728,9740726,9740867,14169148,19781770,15130044,15130042,21063713,21063775,15130078,15130075,21063762,15130177,10899231,10899229,15737284,21064615,15130703,10435902,10435905,15130670,21062658,15129232,10435018,6879323,6879324,10435020,15129235,10436843,10436844,15132313,267997226,17041073,15129248,10435025,6879328,4318269,255014791,21062666,256833077,38261648,38261649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352201, s2 = 7859709, dlinesl.size( ) = 2 s1 = 10352201, s2 = 7859709, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10352201, Dl.E( ) = 36, 2.79e-05 seconds used appending s1 = 9072878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3413276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8088728, s2 = 14238265, int(edited[s2]) = 0 s1 = 8088728, s2 = 14238265, d1 = 0, d2 = 2 Dl.O(d1) = 72234916,63945284,52124496,52124495,52124310,51022168,40885100,32111873,32111874,40885102,46801437,58168892,256108306,59076929,48113220,48113219,49415553,49415550,51179309,48741601,38821535,30238275,30238274,38821532,47433205 Dl.O(d2) = 3278213,1928217,1101686,1101685,1108131,1927996,3277826,1937859,1106904,621105,621104,1106898,1937842,3294895,5360087,8307387,8257126,5326887,3274224,1928422,1101791,1101793,1928431,3278555,5333179,5333183,5331476,5331475,5366927,8317178,12240563,8266810,5333890,5333892,8266817,12237397,8311252,5362827,3296780,3296781,5362830,5363033,3296927,3296926,5363032,8267332,8267331,8263433,5331381,3277069,3277068,5331379,8263430,12237673,268252607,12241732,12241731,17358919,256294552,12312417,17441538,23769548,268077636,8316499,5366363,3299064,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365287,3435672,2032327,2032326,3435663,5550655,5347621,5347624,8289421,8560068,8534524,7457563,7457565,7452336,4708542,4708546,7452350,8550111,11230592,7452203,4708466,2836450,1645470,935676,527324,295460,163432,89814,89817,163439,295478,527355,935756,1645634,2836762,4709016,7453081,5549880,3435021,3435020,3285760,1932303,1103767,1103765,1932301,3285759,5346441,8287725,254773521,4710327,4710330,5347579,8289345,8289336,8289338,8531640,12273761,8288590,5347043,3286108,3286109,5347046,8288597,9006238,9006237,13212240,12598438,12598437,12640193,12587138,12574112,9120707,5968087,5968088,9120712,12630962,12630961,8609308,8609306,12238547,8264174,8264173,8526205,8526207,5524823,5524825,8526224,8559222,6349172,6349173,8518298,5516535,5516538,8518307,12563171,12571704,8525858,8525856,7452694,4708738,4708736,7452690,8569492,9191713,8582019,5576200,5553730,3438085,2033968,2033969,3394452,5505751,3397008,2002596,2002595,3397004,5508449,8508011,5546392,3432057,3432058,5546395,254869663,13486625,12565318,12565319,17757346,12680681,8612465,5597818,3474310,3474312,3474349,3474345,5597881,8612522,11235649,8556919,5553762,3438104,2033976,1164968,653767,362505,198394,108121,108123,198406,253994,253949,140492,140491,253946,450797,795443,1397840,2414835,3413963,5527995,5552253,5016142,3034217,3034218,5016144,5553485,5553486,8556585,5568239,3452161,2045328,254190259,645261,358060,358058,645251,636602,636601,1134510,1134495,1134492,1985773,2046374,2061264,1182969,1182970,2032663,2032664,3436121,254612383,12531702,8492915,5496280,3386202,1994605,1994604,3032615,1764728,1005437,566601,317334,175442,96424,53147,254070889,9836,9837,17159,29887,53151,96436,175475,317395,566685,1005569,1764929,3032861,3399740,3399742,5014332,5014333,7893602,5501007,5500999,3390522,1997865,1146310,1138148,638559,354595,317378,317379,566660,254173853,3032744,3441933,2266813,2266809,3441908,5557426,7898104,8487258,5488254,3393403,3393402,5504583,8504218,12234170,8260843,5329547,3407533,3407532,5520699,8521883,255194611,21719114,255856567,255713883,1381021,254115447,250544,254076823,40749,22389,12441,6859,6860,12449,12298,6864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8088728, s2 = 14238265, dlinesl.size( ) = 2 s1 = 8088728, s2 = 14238265, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8088728, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 8220650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1260058, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7561141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3092301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13273287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078357, s2 = 10212307, int(edited[s2]) = 0 s1 = 14078357, s2 = 10212307, d1 = 1, d2 = 23 Dl.O(d1) = 64099220,64099221,64099213,52250795,52250794,52250816,52250817,52250841,257179659,32973201,32973200,41913053,52250846,64099287,70343781,70343780,70343816,83869046,70343797,70343798,83869037,70343783,57653221,57653222,70343785,70343794,270788351,91163913,91163914,105386022,97727986,97727985,91163922,77245561,70343765,70343766,58474179,257841346,37188278,28667006,28667007,37188279,47083536,46959975,37079349,37079350,46959980,47083578,58461642,71183601,61416180,49938111,47695352,47695351,59093779,71183663,58461741,47083703,47083702,48608241,38692813,38692814,38692859,38692862,48608313,59999732,62606819,50984356,40849739,40849738,50984354,48524761,38609268,30035004,22659938,22659937,30034999,38609264,48524759,48524821,38609307,38609308,38609218,30034967,30034966,30035015,38609281,48524782,59918129,59918137,48524774,38609278,30035012,30035013,256969495,59918140,72658023,72657926,59918020,59918019,72657923,86258241,86258368,259408263,114257762,259718934,98562241,98562240,112555748,112555768,126424902,131466081,131466080,126424859,126424861,139798078,144691938,157093021,165927704,165927705,164379499,152515439,139798089,139798088,144691937,157093017,168541062,172423289,261501072,154168192,157093014,157093000,144691922,131466037,117661744,271336098,75669947,89433236,103529147,117661757,131466028,261172842,89433225,103529132,117661737,117661767,103529156,103529157,117661769,131466068,117661779,103529165,103529166,116223836,102162842,88172116,259523425,88125565,88125542,74513288,74513287,74513311,259523427,260734787,102113346,88125532,88125533,102113350,89433248,75669957,258953913,103529163,116170938,124172598,116170934,102113373,88125557,88125558,85200149,71635348,58914679,58914680,71635350,85200151,88125531,272206904,112940069,98950717,98950718,112940071,102113381,88125572,85123452,85123450,259814237,95819426,81752786,68227798,68227797,81752784,259814245,110041957,110041989,110041988,95819472,81752796,81752794,68227810,257335791,35431815,27299529,20360841,14614681,10055855,6607212,6607213,254988329,10055543,10055544,14614243,20360179,27298578,27298570,20360168,14614237,10055549,10055548,10055837,6607202,4138581,2475342,1430690,1430689,2475337,2475290,2475292,4138505,6607046,6607116,10055556,14614258,10055854,6607211,6607210,10055602,10055601,14614314,14614321,14614322,14614325,20360306,27298758,27298525,20360137,14614215,255345237,27298528,35430269,35430267,44868201,36424329,35430265,35430264,44868198,46276989,36424317,27965808,27965807,36424315,46276986,57621366,57662958,57662959,55796775,44868401,35430496,35430495,29241340,21922199,15836939,10974570,7263937,4580927,4580924,7263925 Dl.O(d2) = 25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264659,7264573,7264572,10975616,15838571,21924454,256909599,30544649,23126162,255784283,14942838,10277452,10277451,14942836,20842527,28007156,28007221,28007220,28006912,28006913,36465687,36465710,28006923,20842324,14942672,10277302,6754173,4232238,2530388,2530387,4232236,6754170,10277295,10277446,254997705,255784277,256807967,57662965,49073525,49073524,39143301,39143298,30544687,23126193,16866196,11797737,7878951,7878950,11797732,16866190,20842573,254997709,6754303,4232337,4232336,254704859,14942859,20842562,28007210,36465689,28006918,20842320,14942668,14942667,255033166,10641641,15397192,21379238,28615209,37126336,257439379,46318822,36465979,28007167,20842536,14942842,14942840,268370807,36465974,46318816,57663041,49073550,39143288,30544670,23126179,16866188,16866187,23126178,30544668,39143284,36466011,28007197,20842552,14942851,10277456,10277455,14942847,20842545,28007188,36465696,46318561,46318529,46318528,57662782,57662800,48954316,39032169,39032170,46318520,36465663,36465664,36465981,256807977,46318826,36465986,28007171,28007169,36465983,46318825,39143273,30544663,30544664,39143274,49073539,57663050,46318835,46318834,57663052,70352779,258620655,74340694,257654543,40061642,40061643,50083048,40061648,257071747,60549556,70352715,57663001,57662993,257996661,83877551,83877569,70352732,57663014,57663015,258620647,83877562,83877561,97736469,111657343,116159459,115959865,101915889,87943372,87943371,74504942,73292639,270271555,258203126,256807975,23881975,23881976,31378894,40061655,50083063,61563290,74340700,74340701,87943370,101915888,95596892,81563478,81563476,95596890,87943006,74340284,74340285,269874295,61562828,74340287,258263335,258263337,74504966,61723744,61723745,61563267,50083042,257654541,74340689,83877533,74340697,61563274,50083049,50083050,50083060,61563286,74340709,61723763,61723762,74340283,61562827,61562826,74340281,74340292,61562830,61562829,74340290,87943011,74340692,269399937,40061641,40061640,50083044,61563269,269878086,257084302,74502732,88114090,97736471,87942979,258898592,88116216,101915565,88116200,74504952,269403555,40224697,31538215,256031119,24035378,256537059,50244862,61723724,74504938,88116189,102102418,116159183,115959641,115959639,116159448,116351536,116159465,102102739,88116227,88116228,102102741,116159450,110037378,260124743,270386945,74340274,87942993,87942990,74340271,61562821,61562820,74340269,87942984,259522764,115007027,110037371,95814637,81747808,81747807,81747821,68223406,55796741,44868368,35430443,35430442,44868364,55796733,68223395,78904453,65569254,65569253,78904451,93014686,81747809,68223409,68223408,78904444,65569249,65569250,78904445,257249672,81747896,255704144,48302460,48302459,48847068,38926855,38926857,40325281,31635875,255746436,50352252,61836456,74628679,81747975,257312536,44868563,44868564,55796885,68223532,81747835,81747836,81747634,68223256,68223254,68227852,68227851,70576098,57875300,57875301,55796906,44868553,44868554,44868386,35430466,35430467,44868388,48302465,38392152,38392151,44782271,35358304,35358303,44782269,55689860,44868378,40325287,40325288,35430456,27298704,27298703,24128788,17765530,17765531,20305798,27235468,35358289,35430639,31635884,255746434,44868521,55796881,256746896,70512799,84048124,97918780,111852891,111852888,111852889,102258036,102258037,97918818,97918817,102258039,88259966,258283953,50353941,61837971,61837980,74629980,61837977,61837976,74629977,61837995,61837996,74629999,88259994,88259989,88259988,102258048,112755260,112755259,114579474,103452797,89357539,89357538,103452795,117583190,126611126,126611127,126611102,112755258,98765154,84837853,71263664,71263665,71263696,70881784,58167662,58167663,65245204,53255647,53255646,61441084,74220905,61441091,49962769,39945776,31270954,268217762,12304682,17454757,16392505,16392508,22575362,29938214,38501714,38952082,38952083,39258601,39258602,30662704,30662703,257017377,31271256,31271255,39946086,49962987,257604980,38956691,269372150,30701766,23285921,17026902,17026903,16987441,11902308,11902307,16987436,21622964,15592455,10786600,7126915,4486961,4486960,7126912,7950608,11890827,16977725,17004558,17004559,17005679,16956068,11868252,11868254,11910438,11867354,11867355,11892100,7951639,5057386,3064033,1786154,1018560,1018559,1786152,3064029,5057375,7933531,11868256,11910609,11892070,11892068,16976633,11889603,7949406,5055570,3062785,1785359,1018069,573767,573769,1018078,1785384,3062829,5055639,7796659,268096579,22969059,30370549,30370548,257578133,73003604,78801504,65471542,65471543,78801506,92907507,92907506,78801507,78801508,270864633,258186183,48876260,256997703,38956690,257578135,73003610,60268608,60268607,269777504,65471548,53451830,53451828,65471546,259087183,107312308,121693585,135637489,148885944,141832400,128479772,114594259,100562559,260650357,121693583,121693579,259293344,78801510,65471548,53451830,53451828,65471546,259087183,107312306,121693579,259947464,78801502,65471540,65471541,259087181,258666656,65471546,259087183,107312308,121693585,135637489,148885944,141832400,128479772,114594259,114594260,128479773,141832403,148885937,135637485,135637484,148885935,155722464,148885941,273098562,172409309,262674300,148885933,272747303,262164640,261093190,87916895,74313236,65471547,271598037,182366922,263091382,148885940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078357, s2 = 10212307, dlinesl.size( ) = 2 s1 = 14078357, s2 = 10212307, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14078357, Dl.E( ) = 24, 1.91e-05 seconds used appending s1 = 14115253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115253, s2 = 5272884, int(edited[s2]) = 0 s1 = 14115253, s2 = 5272884, d1 = 9, d2 = 2 Dl.O(d1) = 152860648,140167034,126817120,112963356,98974341,259258202,71477570,58748372,47361465,47361464,58748371,59482373,59482379,58551074,47162474,38947094,37257144,37257142,47162478,58551078,59148014,58551088,47162484,40506647,40506645,48866817,49323390,50541893,43167985,34084615,34084614,43167978,40506669,37827302,29261834,21940445,21940442,29261831,37827276,37827275,47749504,49323453,47755979,47755978,38181051,29613975,29613976,38181054,48092836,38947091,30360999,22959612,16723749,16723750,22959600,30360974,38947063,38181066,29613984,29613985,38181068,48092851,50541867,53678289,43167989,34084617,34084618,43167995,53678294,53678304,62033400,50541909,50541908,59148101,47749587,37827352,29261867,21940464,15852146,15852145,21940458,29261859,37827336,47749566,47749494,37827263,29261818,29261819,37827270,39395363,49323455,258126937,48092854,38181072,29613989,29613990,38181074,38947052,38947050,48866822,59154573,47755880,37833295,37833294,47755878,53678297,256697129,26223770,26223769,34084622,30792703,30792702,268974393,60725610,53678587,43168265,34084845,30360962,255508683,16723742,22959593,30360958,38947037,48866807,48092861,38181081,29613995,22263045,268084773,11199617,16122624,22263042,29613992,38181077,48092856,47755937,37833358,37833356,47755935,59154616,53678609,43168279,43168281,53678613,58219259,46851395,43167999,43167998,47749554,47755946,37833363,37833362,47755943 Dl.O(d2) = 257027903,34084592,29613969,29613968,34084573,26223737,26223739,34084579,29267184,29267183,37833280,39395246,30792606,26895185,26223965,19509316,13964400,9588195,9588194,13964414,15856258,10990153,10990152,15856256,21945099,29267248,29267261,21958806,21958805,18938142,18938144,25550632,33312054,25741687,19108081,13642963,9342369,9342371,13642972,19108096,20165866,20165868,27059521,33756932,38873470,30792727,23366645,17097458,17097457,13964318,9588123,6293878,6293877,9588118,13964315,15856230,21254948,23366555,23366554,26895190,20013691,14333552,9846489,9846487,9588189,6293906,6293905,9588182,13964326,10990146,7275249,4588155,4588157,7275256,7279809,7279808,10997003,15866365,18938148,25550640,23366606,23366605,30792667,32132722,25741702,19108091,19108092,25741707,27059514,27059515,33756928,30792620,30287694,28093059,28093057,23366642,23366643,26223759,19509361,15952038,15952040,21017422,15095221,15095222,21017426,17097416,17097415,23366564,26895172,20013681,19509352,19509351,19509310,13964395,13964394,19509303,26223941,29267219,29267218,37833327,29475811,26223789,19509194,13964333,12010860,8068611,5162822,5162820,8068605,12010848,17097440,23366614,30792682,39395337,42292175,39395350,39395349,39395292,30792634,23366584,23366583,30792627,34084727,26223842,19509239,13964358,9588148,9588150,11290193,16239695,15609761,15609762,21641617,28915967,37455316,47361466,58748374,71477571,85049246,98974343,112963357,126817121,140167036,152860649,164695857,175453084,184996128,193329660,200481463,206521225,211512658,215591486,218962393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115253, s2 = 5272884, dlinesl.size( ) = 2 s1 = 14115253, s2 = 5272884, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14115253, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 294392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11223104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223104, s2 = 9404690, int(edited[s2]) = 0 s1 = 11223104, s2 = 9404690, d1 = 15, d2 = 13 Dl.O(d1) = 25946806,25946807,33754462,42449347,42449346,52853598,49415945,39486514,30880798,268246661,12074872,17173386,23449705,30880807,267833070,51320868,48957736,39035886,30446538,23038816,16794137,11742517,7839922,7839923,11576099,11576100,16598167,22817259,30209102,38793704,38794733,38794720,30210212,30210213,38794721,36474624,28014141,20848395,20848394,23125951,28136869,36610632,46476587,57832354,269304794,72162948,59424002,48031485,48031486,52815773,59423994,48031479,48031478,59423992,270320149,74552271,61768427,61768428,74552273,88167497,85611675,72023064,59286343,47890025,37971697,37971696,47890021,47890016,47890017,269804625,49073165,49073164,60476468,59286332,47890014,257502727,268939052,31580297,31580296,40267345,37971700,29407781,22077049,22077050,29407779,37971695,47890019,59286336,72023051,61768421,61768420,74552266,85611660,72023044,72023043,85611658,99562022,99562024,102144031,88152926,269879423,40252324,31564818,24074648,17718142,17718141,24074646,31580294,40267341,50288625,50288634,40267351,40267352,50288619,50288618 Dl.O(d2) = 39753127,39753128,49771602,49771831,255437780,31075721,39753330,33422658,33422657,256283072,44839161,268119632,31751928,37440724,28900733,21625790,15595057,15595058,20354787,20354788,27289470,35414089,44839159,268602370,38405019,36617192,28143315,28143316,36617193,46483627,57839784,64082966,52236813,52236814,64082969,64082973,52236825,52236824,64082972,77226368,77226369,64082976,52236829,52236828,57839775,46483618,46483617,57839773,70541714,84078749,97952668,111890326,260493872,125708135,111890301,97952651,97952650,98914064,84988678,71414761,71414762,84988680,98914067,112901979,126754642,140103911,131519485,131519483,128474095,114588246,100556146,100556145,114588245,128474099,114588358,100556259,100556173,86594461,72996658,60260973,48867962,38948216,38948217,268066322,72996662,86594468,100556181,114588273,113911439,99892936,85937703,72343776,72343774,85937701,74372752,74372753,87974555,101946788,107889403,93460713,93460714,107889405,113911463,99892957,85937725,72343789,59609462,59609463,72343792,85505856,99447497,101946824,101946825,100556180,100556181,114588273,113911439,99892936,85937703,72343776,59609455,257074707,257074705,61596571,74372786,87974536,101946771,101946787,101946788,107889403,93460713,93460714,107889405,113911463,99892957,85937725,72343789,59609462,59609463,72343792,85505856,99447497,101946824,101946825,100556180,100556181,114588273,113911439,99892936,85937703,72343776,59609455,59609454,72343770,85937699,99892934,113911437,113911469,99892963,85937743,72343812,59609472,48222640,38312761,29744073,22384859,268404837,23926828,17585303,12412521,8389261,5413557,5413556,254854621,17585299,23926820,31416779,39838189,39838190,31802195,24287844,17906524,12685498,12685499,17906527,24287848,31802203,38171418,48083902,49993705,40810998,40810997,50930310,48083361,38170757,38170758,48083365,49295308,40524004,31826932,31826931,255894786,44473222,255456888,31302707,31802107,26435319,19696745,14122693,14122695,19696752,22254677,25912928,19251004,13755508,12325247,8325719,8325718,12325240,17481218,17925070,14122468,9716039,9716040,14122475,19696377,19696335,14122453,14122452,19696330,22253525,16115312,11194324,7427731,4693626,2828074,2828076,4693637,7427747,11194361,16115383,22253645,29603317,38170273,44472818,35096090,27009677,20117976,20117977,27009680,22253442,16115257,11194296,7427718,7427720,11194303,16115275,22253469,21754201,15700474,10868823,10868822,15700470,21754191,23096894,23096895,255558664,12805148,12805147,18061542,17481119,12325179,12325178,17481117,23815874,31302573,23816059,18061573,16115178,12805518,12805519,18062185,24485170,32050661,26689231,19870060,19870059,24484666,24484665,32050131,40810190,44472558,257311537,59473551,48082888,39977481,31302661,23815944,17481171,12325215,8325705,5373201,3304004,1943785,1943786,3304011,5373221,8325746,12325302,16841253,17970004,12734798,12734799,17970007,19249994,19249993,13754869,9425210,9425209,11014517,11014518,15889110,21985330,29313318,37882149,47805774,59205160,71944239,71920253,258728083,99446964,258728079,59181992,59181993,71920230,71920279,59182031,59182030,71920278,85505503,71920213,71920211,85505481,85505479,99446890,113448952,127307848,140653908,140653989,140653988,153333391,165144621,165145161,166577384,154876540,142242781,128891556,128891557,123702733,113049591,113049592,270385860,152938072,259891938,113449255,99447107,99447106,99447112,99447113,113449261,100393630,86438134,259420749,114416870,128292880,140654292,153333614,165144686,165144685,164788849,152959172,140653892,128292874,114416866,114416865,261213973,143217554,129888128,115990843,115990844,129888130,143217557,261625406,153333572,153333573,160638174,148372799,135203641,135203642,261143650,140654049,127307965,127307966,127307832,113448943,113448942,127307830,140653893,262209560,140715232,127359151,113489421,99478720,85532241,71944266,59205183,47805782,37882153,29313320,29313321,37882155,47805789,59205194,71944286,85532269,99478756,113489465,126549337,113449111,113449110,123702659,109510927,95256770,95256767,109510918,95256796,95256794,109510965,113449187,127308089,129588556,140654967,140654522,127308430,127308431,140654094,127308008,125980526,112143634,98181150,98181149,106661064,106661065,113449473,99447281,85505716,85505717,99447285,113449481,127308420,140654509,153333337,140653928,127307865,113448976,260037613,100393552,114416786,114989472,100935526,86952172,86952171,99447613,85505943,71920493,59182162,59182161,71920489,72527705,59792459,255436490,254755248,16392533,22575407,255062948,48407580,59792449,72527680,85532225,99447252,99447253,93460697,79330259,79330258,93460695,107889378,260551466,134712993,147839256,153334027,154876556,166577394,260493948,152938107,140249019,140249020,259891990,127247838,113389107,113389105,127247810,113389091,100935460,86952137,73340892,73340890,86952088,86952087,85137992,71567969,71567970,85137994,99062211,113049596,126902096,140248954,129839820,115940112,101893906,101893776,87919730,74316395,74316394,87919726,85138011,71567981,256016966,74316550,61540046,50061893,254850658,58840984,58840983,61298674,258242807,37547122,29001463,21716058,15672661,15672662,21716060,29001467,37547125,47455095,58840967,71567949,74316553,61540047,50061894,50061895,61540049,58020322,46647129,46647130,58020325,46647133,36761404,36761403,46647131,256522096,47455099,256349443,29001460,37547115,47455103,58840979,58840990,47455108,37547118,37547117,47455106,58840985,71567973,258654500,113049607,257472212,105651436,91424659,91424658,105651434,256892038,80305555,270302246,122915578,126896656,113043993,99056256,85131826,85131825,99056254,113043990,126896654,136747725,149889931,149889937,162102603,154193214,141529650,128171420,114287861,100257442,86294568,72696892,72696893,86294570,100257445,100257438,100257440,100257428,86294555,72696885,72696884,59959035,48567060,257553181,72696894,72696895,258081236,59959033,59959032,48567090,48567089,59959062,72696883,257323140,38651589,38651588,48567066,48567069,59959043,72696906,86294581,100257460,114287836,100257418,86294550,72696878,59959015,48567041,48567042,38651586,38651585,48567070,47049778,37159230,31980304,31980305,28658808,21414456,15425007,15425008,19575469,26298183,34166056,43256378,255303952,255610786,51120696,254624904,24694424,18225526,12927129,254151060,6337103,254115450,14023351,19575471,21402294,15415431,15415430,21402292,28643403,255610784,26298214,19575499,14023384,9639965,9639964,14023383,19575497,255285724,43256400,53772310,53772312,53772313,65832440,79194281,65832425,65832426,79194282,93325153,79194286,79194285,86184976,93325166,79194299,65832443,53772315,53772316,65832444,65832448,79194302,79194295,79194294,93325163,86184973,256457358,48458560,48458559,257001520,53772304,256457360,79194288,258189520,270555276,87661292,101628780,100147930,93325160,79194291,79194292,93325136,93325138,93325154,79194297,79194296,271112079,87661287,87661288,101628777,93325141,93325142,86184975,257581826,107752985,93325140,79194268,256676448,53772290,65832411,257825998,101628772,87661280,74057373,61277141,49797630,49797629,269864467,87661269,101628759,101628782,260053654,127856938,260316014,122163247,259700250,259436804,87661281,85997968,85997967,79194274,65832419,53772294,53772295,65832421,79194277,93325150,259071416,259340612,80314505,94370583,87661307,87661308,101628791,101628785,87661302,85997925,80314507,258090900,43885407,38366438,38366437,256951405,38366441,48278080,59665914,48278047,38366408,38366409,48278010,48278009,38366443,38366442,38366394,29793557,22427556,16260747,255472255,29793559,29793566,29793565,29793582,256409119,268226965,16260748,22427558,29793563,256951399,257531667,72401541,85997894,92299984,78273186,78273185,92299982,257692484,95121072,257109106,120846974,106598066,106598067,106598086,92300038,92300040,106598089,106598058,92300032,92300034,85041663,259323855,78273242,65000258,53025578,42585817,33568921,25778904,19137775,13665369,9358232,9358231,13665367,19137770,256152133,42585792,46896881,37018240,37018239,46896878,258665263,58263802,46896882,46896883,58263805,65000250,53025573,42585813,42585812,53025571,65000246,78273233,92300029,268745856,92299965,92299967,105703517,98465058,84542956,269080124,91979148,256642966,64855723,258403488,78052911,78052912,91979154,84542960,84542958,84441168,70883878,257198238,53025526,42585785,256127342,255260810,42585784,53025524,65000176,53025520,53025521,65000178,78052909,64855725,64855724,78052908,65000240,65000239,65000220,58169855,46802546,36924446,36924447,30075270,22694780,22694779,30075268,38651562,40392007,257679505,74709563,61916036,50425807,50425808,61916039,74709609,74709565,61915975,257096169,40392013,50425752,257922294,48567007,50425764,40392022,31699216,31699217,257096173,40392059,31699245,31699244,31699234,31699233,40392045,50425792,50425810,50425811,50425820,61916044,74709591,61916009,50425780,40392041,31699228,31699225,40392035,50425773,61915996,74709579,88337621,102334346,115624039,101584094,270565252,258859985,101584093,115624037,129508576,260924452,88337626,270894373,87620778,101587975,101587969,87620775,87620774,271384465,261270787,115628373,101587972,101587971,115624034,129508575,115628368,113978291,99955505,99955506,99955499,85996798,72400351,72400350,85996796,72400352,72400353,259342084,113978282,113978285,113978286,107631737,259342086,270844899,85996805,99955509,99326463,85382278,71793463,257482403,47650993,59052144,71793465,85382279,99326464,258092510,85996802,72400375,59664628,59664627,72400379,72960354,60220447,60220446,72960351,86559963,99955528,85996819,72400364,59664616,258140847,258716238,71793467,59664624,48276813,38365327,38365326,48276810,59664617,72400366,85996825,99955532,100521968,100521974,86559958,86559957,100521971,114552802,128436783,141790196,141790207,154437405,162134569,149922745,136786924,136786923,149922743,261138844,149922761,149922758,136786943,260960690,141790188,128436775,114552798,100521969,100521970,114552800,128436778,141790189,154437392,261138832,259960982,271323850,149922754,162134577,149922762,136786948,122956553,122956554,113978319,100521979,86559964,80349483,66923216,66923217,80349485,94403879,108691101,260363568,94403872,94403871,108691093,260363562,115656791,115656790,129543038,122956544,108691090,258483406,80349476,94403869,108691087,122956540,136786937,129543029,115656779,101615975,87649125,87649126,74046014,74046013,87649131,101615980,101615978,87649129,74046012,61266209,49787223,39767517,39767518,49787224,61266211,74046016,87649133,101615984,115656797,129543051,142861866,262325427,155444437,167084505,155444415,142861885,142861884,155444414,167084514,177590370,186877881,194970100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223104, s2 = 9404690, dlinesl.size( ) = 2 s1 = 11223104, s2 = 9404690, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11223104, Dl.E( ) = 16, 1.5e-05 seconds used appending s1 = 7930342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2210535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8122686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8122686, s2 = 14162333, int(edited[s2]) = 0 s1 = 8122686, s2 = 14162333, d1 = 3, d2 = 2 Dl.O(d1) = 257764235,41747410,40574201,31870884,24347075,24347076,256561429,50616614,50616615,50616616,269814195,38381114,29809023,22442308,16273947,11316019,255094513,22442307,28609911,28609913,37120157,47006352,37120159,37120158,47006354,58376651,47251002,37341243,28803258,21536709,15521556,10734829,267884085,1554173,883661,498624,279632,279631,498620,883654,1554159,2682885,4465665,7092585,10734741,15521439,21536528,21498710,15491945,10713049,10713048,15491943,21498708,28758037,21528183,21528084,15517471,10732033,10732032,10731286,7090440,4464451,4464450,7090434,10031280,14578011,16548450,15522381,10735468,10734949,7092716,4465757,4465755,7092711,10734942,10031269,10031270,13509877,10734071,7092153,4465430,2682766,2682769,4465435,7077599,10713300,10732027,15517463,15520509,15515331,10730583,7089933,4464122,2681984,1553634,883355,498449,279545,154287,154291,279558,498484,883406,1553733,254737931,15515929,21528895,28793822,37331084,47241034,47241035,258066717,259317857,107868110,93440397,79309659,79309660,259740259,100525868,107868109,99461856,85516024,71928400,59188772,59188771,48110630,48110629 Dl.O(d2) = 254336386,21525067,15512889,255410027,19813636,26624223,28688132,255876662,54626783,257494802,85516098,84009852,70476259,260477773,97878551,97926501,97926502,111860754,99713287,85759139,85759138,86413704,257289356,48684992,48684991,48685008,48685006,48685007,46925940,37047856,28548206,21323928,255826117,16277047,16277046,15352271,10605537,6997436,4397544,2635125,1521685,1521683,2635121,267882157,10605525,15352258,21323935,28548217,37047875,46925961,58291863,256932077,38119639,38119920,29554764,22209920,22209919,16079306,255456067,29554823,268611247,21323465,255030071,254498395,4397467,6997299,10605317,15351944,21323470,28547670,28547671,268321488,20799390,14906005,10248894,10248893,8784180,8784179,12913290,18206436,24669400,32277262,29743912,29743913,38119880,30072868,22692948,22692949,30072873,38648655,48563924,59425526,48033073,38119848,38119849,38312627,48222527,48033069,38119845,36629004,36629005,46495611,46495554,36628961,36628960,38118922,29553859,29553860,28854887,28854886,37340445,37340444,47250199,58642988,48033051,38119821,29554682,22209850,16079172,11166489,11166488,16079170,22209847,29554676,38119812,48033038,58291837,46925941,46925942,58291839,59881579,72619995,86218407,98494266,93148555,93148556,84571195,84571194,98494264,257887674,112486052,106164849,91966783,91966782,106164848,106164852,91966785,256725654,64842485,78039615,65551159,53526242,53526243,254965244,67549739,55205892,44355260,34977555,26898200,26898199,26147057,19449023,19449024,254682498,33987860,43046528,53526244,65551161,53526249,43046533,33987862,33987861,43046531,53526247,269174170,50219725,258274495,88096785,102083697,114152217,114152216,128042154,141410998,262244164,260604378,141173683,141173684,129785918,129785919,143115733,155581453,143030977,129699821,129699822,143030979,272259131,101753805,101753797,101753798,115800504,115800515,115800514,260604376,154085394,141410996,128042150,128042152,129699826,115800513,101753807,87780324,74175533,61395062,61395061,61395065,61395064,255909332,101753813,115800520,129699828,143030981,155581456,155581449,272259129,101753800,87780314,74175519,258761200,115800507,101753815,87780326,255469726,49914773,39894807,39894809,255469728,49914775,39894812,39894810,255469724,49914759,256406024,49914755,49914756,269342933,48234589,258137831,257640549,269395351,256948322,39894814,39894815,49914777,61395058,49914768,39894804,256006539,255167813,255167811,23733352,31217606,39894803,49914765,61395054,257640545,39894796,268438065,17408720,17408719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8122686, s2 = 14162333, dlinesl.size( ) = 2 s1 = 8122686, s2 = 14162333, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8122686, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 2072331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 287361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8188473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 274471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9818611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9818611, s2 = 8352066, int(edited[s2]) = 0 s1 = 9818611, s2 = 8352066, d1 = 8, d2 = 3 Dl.O(d1) = 27073921,35160409,44535492,35159282,27073180,27073181,35159286,27073839,27073838,35160212,27073792,20178127,20178125,27073786,35160208,44536653,55382975,67722749,55383695,44537424,35160819,35160157,27073752,27073753,35159948,44536367,55381739,55381740,67721590,55382664,44536330,35159909,27073584,20177998,20177997,27073579,35159902,35160057,35160056,35160038,35160039,44536457,44536469,44536471,55382778,55382921,55382922,55382904,55382906,67722714,67722580,55382691,55382692,67722572,67722754,74496410,61714938,50235842,40215450,257083787,44536629,257916487,81187405,81187339,72094390,67722700,55382885,44536584,44536585,55382888,67722675,55382832,44536528,44536527,55382829,52450886,42097896,33143604,33143605,42097898,52450894,44536336,44536337,55382683,257580716,67825910,55484447,257923545,81292094,91413077,81187167,74496421,64318444,64318445,257234382,59360861,59360857,47969921,47969922,59360859,72094386,77482405,64318538,52450857,52450855,52450843,42097850,42097848,52450641,42097668,33143404,25403378,25403377,256639719,47969917,38056745,29492713,29492711,38056739,47969912,42790284,42790285,42790334,53241423,42790145,42790146,53240922,52076392,52076394,42789684,33758782,25950860,25950859,33758775,42097706,33143438,33143435,33759109,25951089,25951090,33689860,42720001,33759252,33759253,42790223,53241455,47969975,38056800,29492754,22153659,16033427,16033428,22153662,25951064,19286894,13787930,13787934,19286900,25951265,25951255,19286890,13787925,9453632,6197993,3879232,2323144,2323145,3879234,6197999,9453642,13787950,13787863,13787864,13787851,9453596,6197975,6197976,9453600,13787771,13787772,19286639,22153666,29492763,38056817,35158878,27072835,20177452,20177453,19286874,19286875,25951237,33759310,40975729,35158864,35158865,38056771,42790067,42790064,53241353,65229845,53241544,53241401,42790126,33759167,33758934,33758933,25951168,19286836,13787889,13787885,256763581,27228001,20299081,14566957,10023677,6587904,4127370,4127369,6587902,10023673,14566950,20299068,20298952,20298953,256237053,38768907,48690744,60086769,72823860,60572080,49173165,39247989,30652166,23230778,16958060,16958059,23230776,19822230,254953892,4026083,4026082,4723539,4723538,7474158,11258726,16196471,14199054,14199053,19539857,19539858,14199088,14199087,19822234,26633621,34622806,29757951,29700097,26633552,19822148,14199044,14199045,14199026,14199024,15052495,15052494,14032472,267941132,254211136,34168476,26300457,26300458,34168478,43258684,53774548,43258683,43258682,53774546,65834702,79196753,255713024,86289581,86289582,100252860,100252904,86289656,72691644,59953401,268955211,38645820,48561211,59953409,59953468,48561259,48561260,38645855,38645856,48561265,59953473,59953477,59953476,48561815,38646253,38646254,48561817,258161825,86290309,100253411,259410367,72692111,269353117,38646022,268955237,269823667,86290053,72692063,72692062,72692185,72692186,59953852,48561569,38646067,38646066,257552883,72692188,86290144,86290082,72692103,59953773,48561499,48561500,48561526,48561524,38646035,256971999,59953806,72692044,72692045,86289678,72691675,59953385,48561201,38645815,30070235,22690825,16489921,11489193,7641609,4834444,4834443,7641618,11489211,16489963,22690898,30070333,30070335,38645961,48561419,59953671,256972003,38646104,48561621,48561623,48561622,59953896,48561603,48561602,59953894,72691716,59953426,48561226,48561227,50194625,46479769,269298943,258636959,59953315,269823651,58349726,46980315,37096740,256858615,58349728,58789782,48561705,38646175,35238411,27142339,20234185,14519636,254790636,27142342,35238415,40170813,31485718,31485719,40170814,48561245,48561246,59953450,72691685,59953393,48561206,38645816,30070235,22690825,16489921,11489193,7641609,4834444,4834443,7641618,11489211,16489963,22690898,30070333,30070335,38645961,48561419,59953671,256972003,38646102,48561160,38645791,30070216,22690814,255930163,38645794,48561164,46980314,37096740,256858615,58349728,71066058,258249770,86289702,72691709,72691710,72691652,72691653,59953493,59953492,72691770,84074547,70537620,70537619,257552881,257552883,72692188,86290144,86290082,72692103,59953773,48561499,48561500,48561526,48561524,38646035,256971999,59953806,72692044,72692045,86289678,86289679,258161797,59953940,59953943,59953942,59953959,48561659,38646136,38646135,48561657,59953957,72692259,72692333,59954053,48561729,38646191,30070486,22690983,22690984,30070489 Dl.O(d2) = 256972023,30070572,22691031,16490049,268231835,30070574,38646207,30070502,22690991,22690989,30070500,38646205,48561741,38646303,255930195,16490048,11489262,11489261,16490046,255930193,38646299,48561885,59954225,72692005,59953683,59953682,72692003,72692271,59953980,48561670,38646143,38646142,48561667,59953976,72692272,72692497,72692498,72692270,72692088,72692089,86290066,86289636,72692357,59954071,48561749,48561748,59954069,72692353,86290255,86289657,72691644,59953401,59953398,72691690,86289573,72691534,59953257,59953259,72691530,86289569,72691544,72691543,86289582,100252860,86290276,72692398,59954126,48561795,38646241,37710256,37710257,257480891,59953464,59040087,59040086,270829039,72692307,59954029,48561704,38646173,30070475,255488457,11489237,11489236,16490010,22690978,30070474,38646153,38646154,48561682,59953997,59954014,59954233,59954231,59954232,72692511,72692361,59954081,48561761,38646217,30070507,22690992,16490024,255488463,30070506,38646215,48561756,258161811,72692390,258785643,100253296,86290072,86290070,72692092,72692093,86290071,100253295,100253392,86290270,72692388,72692297,258272413,61677881,73471382,60723141,257597448,87089190,88072706,88072707,74460641,74460642,88072712,88072710,85371230,73602930,60853151,49451474,39519304,39519303,49451473,60853148,73602927,85358361,71768092,59024400,59024401,71768095,60840776,257553580,73590430,71781924,59040126,47638195,37715795,37715794,37715797,29155131,29155130,256901537,59040131,60840765,73590415,71781921,258715183,87212601,73602935,73602934,73590408,60840755,258225437,60840770,49439035,39508085,30900545,23466791,17186971,17186970,23466787,30900540,39508079,49439021,49451476,39519305,30910056,23474326,23474327,30910058,39519308,39519322,30910070,23474335,17192680,12089337,8129900,5208662,3177817,1860199,1657178,942951,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,11190420,16110439,255091646,38163597,36753472,28258437,21057386,15125581,10432661,10432660,15125578,21057381,28258430,28248533,28248534,22555804,22555803,19062807,19062808,25686587,28249854,21049554,15119688,15119201,10428466,10428464,15119197,15120108,21050139,16386256,11404580,11404581,16386259,22566757,28252774,28251013,21050563,15121791,10430087,10430089,15121796,21052428,28252929,36748202,36750847,28255665,255377653,15123543,21054782,28255662,28249106,21048857,15122428,10430545,255014189,21053265,27969060,27969684,20806665,20806666,22231861,22231860,18080910,18080911,15121224,15121226,21051638,15123967,15123968,21055323,28256200,36749548,36749547,32084758,24510852,24508771,24508772,32082793,40854846,32086329,32086328,28993679,25686533,25686535,32088338,24514926,18084858,12821291,8717103,8717106,12821283,12821284,18084848,18083379,12821431,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084211,24513291,24513290,24514482,32084641,255378008,23553266,17244666,12127041,12127042,17244669,23365008,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,13615625,9323131,9323132,13615591,16663129,15141918,15141919,15704262,16220468,17394898,20103991,15135686,15135682,255806287,36769813,46654400,38330674,34645505,34645508,43918452,54660749,52852078,52852079,64771881,74107601,74107559,61324443,58074125,58074126,53725204,43213311,34125798,34125797,43213307,53725193,65781708,53725176,53725177,53364423,53364424,48244067,48244062,50296628,49321772,49321773,42464220,42464222,52868044,58566152,47177348,37394232,28853717,28853714,37394222,30682326,23265608,23265609,30682329,39279258,40856574,50990976,58026216,46654317,46654318,52569644,258408859,75550332,258946673,99852159,109327740,95073022,95073021,109327737,112149108,98186869,98186868,112149106,115835821,101789553,87816972,74213170,67544499,67544498,81014148,84279959,70727655,58011999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9818611, s2 = 8352066, dlinesl.size( ) = 2 s1 = 9818611, s2 = 8352066, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9818611, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 14071669, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13398171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13189843, s2 = 7931041, int(edited[s2]) = 0 s1 = 13189843, s2 = 7931041, d1 = 13, d2 = 9 Dl.O(d1) = 1197237,2082374,2081801,1196983,1196980,2081833,3502404,5628668,3497471,3497473,3557311,2128264,2128265,3570460,5734226,5734096,3570371,2128187,1228164,1228163,2128185,2128181,1228161,1228162,2128183,3570366,5734088,5734085,5734084,8802873,12939497,18241683,24714350,18241667,12939488,12939489,255622319,22009489,29341330,37910357,32599052,24936815,18424638,13087164,8918231,5819942,5819941,8918226,13087157,18424627,256093043,41145007,32330144,32330145,41145009,51330370,63011296,72183967,72183968,59445752,59445751,59513053,48125539,40332846,40332845,41146023,38140566,38140567,48054112,38140815,38140816,38140606,29574130,22227062,22227060,22227146,22227149,29574256,32295857,32171140,29574060,22227013,22227012,29574052,38140486,48054022,59445665,269808391,257514049,59445662,48054020,38140485,29574051,29574050,256933991,29574046,29574047,38140468,38140592,38140593,48054149,48051080,48051081,59442735,48125545,48125543,59445929 Dl.O(d2) = 11178368,7416836,7416835,7415011,4685504,4685503,4686541,267790047,1638413,2823873,4686545,7416317,11177777,16090105,16090106,16093489,22223055,16090155,11175185,7414372,4685089,2822847,1637728,931257,931256,1637724,2822845,4685082,2823902,1638429,931685,525122,525121,931680,931693,931692,1638444,2822812,1637699,1637700,2822817,4685029,4686380,4686609,4685060,2822832,1637715,931252,931253,1637721,2822839,1638184,931521,931522,1638190,2823584,4686153,4686221,2823629,1638227,931547,931545,1638225,2425316,4052338,4686493,7414343,7414342,6467511,4052362,4052361,5184631,3163113,1851645,1056720,798363,452509,452506,798359,1402901,2425292,2824081,2824079,4686826,7416670,11178211,16093858,22227543,268401553,22226411,22226212,16092828,11177342,11177341,16092827,16093426,16093425,22226392,16092994,16092993,16091126,11178208,11178207,16093422,16093423,255736665,14334165,14334118,9846992,9846993,14334122,16092976,16092977,16092987,16092988,22226389,16093414,11177872,7416406,7416405,11177870,11177309,7415919,4686315,2823685,2823686,4686317,7414978,11176103,16091396,22224536,21859963,21859962,22226084,16093011,11177527,11177528,16093014,16094052,16092805,16092804,14440288,9933411,6528497,4090610,2447306,2447309,4090619,6528521,9933446,10596297,15341033,16157122,16089772,11174986,11174987,11174965,7414186,4684951,2822767,1637677,1637681,2822782,4684986,7414268,11101533,11101534,256923519,31304574,39979666,46828504,42806842,42806841,46934496,37055998,28555427,21343067,15368276,10618739,10618738,15368271,21343057,28571031,37074061,37074040,37074041,46934514,40481804,37074082,36917235,28419386,28419387,36917241,28579067,21349672,15373741,15373742,21349677,28579077,37083470,46964592,58332312,58300562,46934442,37055950,37055949,37056007,28555431,21329970,21329968,28555428,37056001,46934500,58300609,59446074,58150864,46783331,38653153,30076473,22695681,22695682,30076477,38653154,48569005,58300511,48054826,48054827,48569051,59961371,72699346,72184541,59446418,59446419,72184542,85778822,255762778,84463352,70907085,70907084,255762804,81617025,81617177,255344310,68127403,64596250,52695597,52695598,64596252,55729280,55729281,68127309,71960126,71960125,68127226,55729223,44821217,44821218,55729225,68127229,68127292,55729272,55729271,68127258,59221934,255344300,29333593,255878997,15902461,15902465,15902583,22002830,29333720,29333675,29333673,37902020,37902021,37901980,37901981,39907983,39907986,257641639,256027551,17646283,17646280,23991147,31488282,40173314,40173337,31488307,29334044,29334045,37902570,268556712,35139145,27053428,20160061,14462671,14462670,20160057,27053420,35139136,35139117,27053404,20160050,20160051,27053407,22003143,15902800,255441478,2770581,1606673,913958,913959,1606678,2770591,4604033,7299258,11024781,15902905,22003315,29334283,29334273,29333869,22002968,22002967,258107191,52293383,41952441,33010105,25285115,18712189,18712187,268486993,36501927,29943695,22580598,22580600,29943698,31427285,30108460,29310972,21983144,21617306,15587349,254482038,16524671,11516628,7660875,4846981,4846980,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846775,2920609,2920607,4846853,7660601,11516186,10954964,7250649,7250650,7658758,7658761,10044513,6601048,6601051,4486064,4486065,2696695,2696693,4488796,4138176,4138172,6606348,7905509,10375938,6837028,4289896,4289898,6837039,10375963,15049270,12209628,8240743,5348157,254323420,14941502,14941495,14941496,20821428,14923664,10262145,6743507,6743505,8338322,8338319,9297660,12342290,17503689,20978277,20978276,28157598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13189843, s2 = 7931041, dlinesl.size( ) = 2 s1 = 13189843, s2 = 7931041, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13189843, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 8097651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1896791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8214875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9817347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7906565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1441026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13403997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8173154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9193930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3042771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8062829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14274523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2286543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13597985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13597985, s2 = 6877142, int(edited[s2]) = 0 s1 = 13597985, s2 = 6877142, d1 = 35, d2 = 36 Dl.O(d1) = 113821592,99807309,85854631,85854632,99807311,113821595,113821563,113821564,127456188,127456189,127690229,141039470,141039469,153706986,141039478,141039479,141039486,141039477,127690200,113821560,113579942,99563420,259979855,85854608,72263113,72263114,85854609,99807292,113821573,116330836,113523197,99511733,85564890,71977768,59240300,257410164,37923517,40372411,31678949,31678948,40372409,50399902,256830802,44636269,35251844,27153136,20242130,14525021,14525020,20242129,27153134,256758247,55486254,61565175,61897791,50407271,40372390,31678932,24170820,24170819,256039398,36416710,31380794,23883811,17537325,12369199,8358067,8358068,12369201,12369197,12369196,17537322,23883807,31380788 Dl.O(d2) = 39386143,30784096,23359104,23359106,30784109,39386160,255172346,60715683,58307902,49313795,39386140,39386138,49313793,49313870,39386185,30784126,23359115,23359114,23359091,17090453,12002905,12002904,17090450,23359088,30784074,30784138,23359124,23359125,30784139,39386207,49313906,58307896,58307895,71023467,256540448,49313863,60715693,73463507,73463510,256542418,257211386,77269499,255674086,40382088,31688444,31688443,40382086,37062566,28561285,21334854,21334853,28561282,37062558,254842996,10613218,10613217,15361553,21334865,28561302,37062595,29322535,21993483,15895369,15895370,21993485,29322540,31426880,40106615,40106620,40106621,50126732,48274408,38362982,29790453,29790452,38362980,37484185,254792640,21663750,28942374,37484183,39344260,30745083,23677849,17357637,12227745,12227747,17357638,23677852,24059946,24059947,24126730,30238259,31565555,24059942,17705116,12523558,8485424,5486159,3376944,1987707,1144807,642156,356400,195281,195280,356397,267756157,746922,746926,795341,1397694,2002674,2017224,2017221,2005460,1153960,1152601,1152602,2008139,254558835,254610079,12580436,268118625,8568657,5564292,3780609,3780610,3474403,2061204,1182924,1182923,1765804,1006142,1006143,1765810,3033696,1765535,1005959,566904,566903,655812,655813,1006071,1147705,643870,357360,357356,643837,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660485,637390,353984,194105,194103,353972,637354,1135984,1988231,3377578,3423100,3395279,2044359,2044361,3450860,2044329,2044330,3450861,5566937,255589213,31706644,259536529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13597985, s2 = 6877142, dlinesl.size( ) = 2 s1 = 13597985, s2 = 6877142, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13597985, Dl.E( ) = 54, 3.19e-05 seconds used appending s1 = 9404691, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16280203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8030801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 494862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8202662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9842541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13562481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13562481, s2 = 8409073, int(edited[s2]) = 0 s1 = 13562481, s2 = 8409073, d1 = 2, d2 = 12 Dl.O(d1) = 39928028,31252834,31252837,39928031,49945612,61423500,74202139,268253976,71372762,84948975,257060614,101778035,87805620,74202188,61423549,61423547,74202185,258252024,101778085,87805621,87805622,101778071,87805611,87805584,74202148,61423510,49945626,39928041,31252846,23768604,17440583,17440582,23768602,256514049,49945614,49945645,61423532,74202171,87805609,74202178,61423538,49945658,39928079,31252871,31252872,39928081,49945663,258252027,257060623,23768642,268110535,5357454,3293202,1936799,1936798,3293201,5357453,8303410,12293990,255558527,17440597,12293993,12293994,17440600,256009303,39928084,40318918,31630671,31630670,31700653,31700652,40393084,50426690 Dl.O(d2) = 11179699,7417639,7417638,255081165,22230425,29577997,36590364,36590365,46456582,57812763,70514186,59448862,48057449,38144281,29578063,22230472,22230473,22230464,22230463,22230457,16096022,11179719,267890397,4687469,7417649,255006891,20940329,16095997,11179700,7417640,7417641,11179703,16096003,22230437,29578021,268401621,22230444,29578031,38144241,38144308,38144307,48057482,257514323,38144302,255895811,16096028,11179721,7417651,7417650,255081171,22230475,29578069,38144292,48057462,57812797,59448899,48057488,48057487,59448866,59448865,70514203,70514204,257933775,55719406,59769013,48386198,38483510,29923331,256416621,48386203,59769018,72503237,60714801,54699945,54699944,66959324,73462773,60714791,49312801,39385134,39385135,48808124,39367780,30766146,23342946,23342947,30766149,39367782,49295211,44781882,35357851,27235053,27235054,25519492,25519493,33279685,38885796,30300016,22901347,16670636,11635873,11635875,16670639,16670649,16670650,22901369,30300047,38885774,38885775,48808079,43861745,38885793,256992527,48808096,38885787,38885786,256395974,43861739,46727190,36844116,36844115,255665314,269080706,72945020,78509444,73444449,73444448,73444459,60696580,49295216,48808118,256448283,30300038,38885817,48808119,270344187,100506966,114537387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13562481, s2 = 8409073, dlinesl.size( ) = 2 s1 = 13562481, s2 = 8409073, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13562481, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 6676730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9799385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11066272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7931354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7931354, s2 = 10255118, int(edited[s2]) = 0 s1 = 7931354, s2 = 10255118, d1 = 21, d2 = 23 Dl.O(d1) = 255739350,34580531,255083656,27208633,20280505,14551593,10012808,10012807,8540456,5538577,5538576,8540453,12588206,17785687,17760682,12567887,12567888,17760661,17760664,24122300,24122147,17760530,12567817,8522565,8522564,12567815,17760528,21901321,21901322,22053696,255882969,37948384,41416691,35336215,27211881,20283538,14553785,14553784,20283535,25462797,33210631,39909842,31233696,23750369,17424771,268253611,30556349,23138969,22821225,16601353,16601350,11732967,7833506,7833509,11732926,11842464,16921444,22064171,22064234,22064130,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,7707268,11579124,16602412,13631859,13631861,19093671,22822672,255073466,11775873,7862312,4990333,3014408,2702413,1565893,1565892,2702408,3901135,6231032,9499902,8075928,5170891,3152869,255981069,38462935,268212302,37504833,28961666,28491491,28491490,28961689,37504858,28961708,21679666,15640296,15640297,21679672,28961712,37504891,29034436,21742854,21742833,15692107,15692105,15692120,10863210,10863207,15692118,21742846,29034425,37581779,39026334,30436843,23030204,23030205,30436846,39026338,47412425,37504896,37504895,39026370,30436880,23030217,23030218,30436884,39026377,39026344,30436853,30436852,28961071,21679174,21679173,28961068,21679638,15640277,10823183,7152903,4504540,2707024,2707025,4504543,7152909,10823195,15640304,21679682,28961728,37504909,47412436,37581789,37581746,37581745,47486919,58868457,58798599,48948951,48948950,47486941,47486940,47486943,58868472,58116418,254507746,40512900,31816661,31816662,30436840,30436839,254161234,44444400,48948974,48948973,50548665,50548664,48792429,47407534,47407535,47411700,47411699,50548594,40512820,31816599,24300770,17917594,17917595,15640286,10823186,10823185,15640283,21679648,28957140,28957141,28961700,21679661,15640291,15640292,21679664,28961705,37504861,37504862,40512944,31816716,31816715,40512940,50548684,50548688,254743536,50548591,58799325,60189054,50548662,40512911,31816678,24300829,24300828,31816673,38643432,30068209,30068210,38643436,47407540,37499998,28957092,28957091,37499993,28961076,21679178,17917606,12694548,8623944,8623943,12694544,17917600,24300774,21679644,21679643,21675957,21675954,21675955,28957147,28957162,37500066,47407601,37504876,37504868,28961697,28961698,31816719,24300856,24300859,31816724,40512954,50548692,50548644,40512892,31816654,24300814,24300816,24300838,17917652,12694597,12694596,17917648,17917655,24300843,31816697,40512862,40512861,50548632,58794672,50548669,40512916,38643438,30068215,22689283,16488827,11488453,11488454,12694536,17917591,21679188,28957138,21675948,21675949,15637511,10821252,10821253,15637517,21675975,28957164,37500073,47407610,50548699,50548696,47407524,47407523,58794662,62040577,50548695,40512955,31816727,31816726,40512883,40512817,31816596,31816597,28957122,21675938,15637501,10821247,10821249,15637503,21675940,28957129,37500046,47407584,58794694,254284440,254140414,24298934,24298936,31814356,40510372,254284444,37500033,30557626,23140286,23140287,30557631,24306894,17922689,17922688,17110506,12024050,8083804,8083805,12024053,254422410,9684968,9684970,7888642,5010169,3029453,1762689,1762690,3029457,5010175,7888657,11809998,16880133,23140298,21154831,15199407,10483355,10483356,8627337,8627339,8627336,8627335,12698768,17922711,23140318,23140317,30557651,24306974,17922783,12698847,8627385,8627386,12698850,17922788,22677674,27092324,35181034,29782651,29782652,23454042,17176603,12077109,8121143,8121142,12077107,10483151,6911512,6884564,4321760,4321759,6884560,5335380,5335382,8268808,11809977,7888645,7888646,11809980,16880104,15199355,15199356,15199362,12687870,8618625,5602975,5602977,8618630,12687872,17909266,23140345,16880168,11810011,7888662,7888661,11810005,16880152,23140333,17922772,12698840,12698841,17375635,16480721,16480722,22079247,22079248,22417055,16251761,16251760,16480730,16480731,15199457,10483392,10483393,10483400,6911678,6911676,8268825,5335390,3279656,1929102,1929103,3279660,5335398,8268836,9755432,6414365,6414367,6911630,6911617,6911618,7888749,5602983,3478600,3478601,5602988,8618647,11813197,11813198,16883647,23140311,16880140,16880138,22078166,29408786,22079384,17909249,12687865,12687862,11086307,11086308,15971472,22077219,29407910,25315727,22079242,15973603,254284280,7353519,11088254,15973583,11104551,7364352,7364353,11104555,15995972,22107316,28815218,21546689,15974076,11088855,11088854,15973842,15973841,19812043,15199351,15199344,15199345,21154787,17375651,17375652,15973508,15973510,16877679,15199349,11088136,11088137,15973493,15973755,11088402,7353648,7353650,11088405,15973759,15973830,12698854,12698856,15973745,22079374,23137926,29409765,22079265,15973613,11088262,7353523,4645047,2797987,1623072,1623071,2797984,2797971,2797972,4645018,7353468,11088184,15973536,15995965,22079593,15974072,15973847,11088506,7353733,7353734,11087149,7352620,7352619,11087145,15972464,15973513,11088159,7353456,7353457,11088151,7353452,7353451,11088145,15972413,11087099,7352574,7352575,11087101,15972419,12698861,8627396,8627397,12698864,17262471,22077969,15972210,11086925,7353887,4645324,4645066,2798002,1623082,922959,520321,520320,922955,1623069,2797979,4644496,7352680,11087230,15972538,15973741,11088390,11088389,15137248,11088502,11088501,15973835,15972458,15972459,22078209,15973641,15973643,22079295,29408907,22078329,15973998,11088772,11088771,11087186,11087189,15623719,11298857,11083135,7349356,4641928,4641929,7349360,7351773,7353852,4645304,4645303,7353846,11088622,15971389,11086226,11086227,15971401,11807692,11807691,11088324,7353718,4645184,2798081,1623126,1623124,2797514,2797512,4644245,4645070,7353552,11083111,7351765,7351766,7352714,7352712,11087267,11083128,7352702,7352703,7349231,7349230,7349649,11083398,7352687,4644502,4644504,7352651,7354114,7354115,11088887,11088880,7354108,4645489,2798257,1623217,1622635,1622636,2795863,4641931,7349367,7890914,5011839,3030538,1763327,1004558,1004559,1763333,3030541,4642125,7349580,11083117,7888340,7888341,11809574,11088113,11088112,15967742,11083201,7349438,4641989,4641991,7349443,5011851,5011849,7890920,7349237,4641847,2795815,2795816,4641849,4641998,4641817,2795799,2795801,4641819,7349205,11083013,7349653,4642197,2796044,1621805,922205,922204,1621692,1621691,254259892,317035,317034,566070,1004560,1763304,1763303,3030515,5011809,7354106,4645488,4645487,7354103,11088877,15967739,15967730,11083193,7886781,7349302,4641891,2795839,1621675,922128,519841,519840,922124,1621670,2795826,4641870,4642440,2796221,1621939,922308,519956,519955,922303,922182,519896,291458,161247,88649,88647,161239,291440,519862,566088,317042,175295,96351,96350,175289,317033,566068,1004553,1763321,1763407,3030684,3030254,3029825,3029827,3028953,1762431,1762430,1058719,1004495,1004494,1763201,3030370,5011621,7890649,7887009,5009043,3028750,267739462,7887006,11807967,11807914,7886941,7886942,11807915,11812774,7891049,5011952,3030834,3030833,2796059,2796060,4642221,7349668,7286088,4594733,2764198,1602279,1602280,2764202,4594737,5011566,3030334,3030333,5011563,7890602,11006839,7887765,5009573,3029106,1762503,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,4594706,4594707,7286040,11006396,11006972,11006975,15878443,11812794,11812441,11812379,10487482,6914773,6914772,7286299,4594894,4594895,7286303,7349719,10492311,6918772,4346495,2603030,2603029,3028711,2764225,1602292,911029,911028,1602289,2764215,2796391,1622068,922387,922386,1622062,2796383,4642619,7350101,7887886,5009669,3029162,3029163,5009676,7887893,267743754,3029214,3029213,5009765,7888017,11809130,16879233,21971802,29298508,37867658,39154281,37967205,29403227,22072840,255019158,11083361,15967884,22072843,20998701,15878000,11006534,7286153,4594767,2764220,2764218,4594763,7286148,11006528,15877996,15967946,11083442,7349694,5011454,5011456,5009806,3029233,1762571,1762570,3029230,5009797,7888059,7285998,7285999,11006346,10487771,6915027,4343285,2600522,2600523,4343291,6915038,10487788,15204938,15204939,17956103,15206769,15206771,21163220,21163121,15206655,10489241,6916258,4344301,4344300,6916253,10489234,15110101,10422265,10422264,15110096,16250110,16250111,22414909,16882715,16882714,21971634,21971635,22072714,15967940,15967938,22072912,16879337,11809212,7888068,7888069,11809217,10487723,10487725,15204878,15206699,15206700,21163175,28380663,31801504,24287253,21161297,15204944,10487778,10487779,15204948,21161301,24287359,24287357,17913673,17913674,24296266,30557063,23139640,21163125,21163126,21036696,15110118,10422284,6871281,4313124,4313122,6871276,10422276,10489370,15206777,21163226,28234099,28234098,23138070,23138071,24287312,24287313,28380605,29403282,30557053,23139628,18921737,13489360,13489361,18921741,17145261,12049571,12049573,17145278,17906176,17906174,21162754,16418073,16418072,21036705,17906138,12685247,12685244,17906129,17913667,12691395,8621656,8621654,12691386,15205927,15205929,21162307,20814750,14918423,14918422,20814746,21971540,21971539,21036675,15110124,15110123,17917440,21036659,15110086,10422260,6871268,4313118,4313117,6871264,10422255,15110074,21036636,28234078,36728002,28379562,28379561,23039716,17145269,17145271 Dl.O(d2) = 86496292,72899834,60163053,48768695,38848904,36772567,28276908,255118742,15136892,21072954,28276907,33374264,33374263,29286326,29286327,34264495,26387125,23039149,23039151,23899525,17554516,17554518,23899530,20963120,20963121,26387129,21204221,21204220,28427864,36926457,46804678,58172103,70886366,84443654,98353402,112336401,126196933,114186216,259403794,141438292,139572234,258154702,112336399,126196927,126196919,112336396,98353395,84443644,84443645,257545684,126196922,139572227,139572241,126196931,126196930,260021306,152301954,139572230,126196923,126196924,139572232,260021304,164185237,164185235,152301963,139572237,126196929,257545686,84443648,70886360,58172100,46804674,46804675,58172102,70886363,84443651,257545690,98353403,84443656,70886370,255483514,36926458,36926457,46804678,58172103,70886366,84443654,98353402,112336401,126196933,114186216,259403794,141438292,139572234,139572233,152301961,139572242,271765023,70886365,70886366,84443654,98353402,112336401,126196933,114186216,259403794,141438292,139572234,258154702,112336399,126196927,126196919,112336396,98353395,84443644,84443645,257545684,126196922,139572227,139572241,126196931,257545688,257545690,98353403,84443656,70886370,255483514,36926458,36926457,46804678,58172103,70886366,84443654,98353402,112336401,126196933,114186216,259403794,141438292,139572234,139572233,152301960,159056858,258639586,105340846,258015116,146691207,159056857,170393153,264618197,217411128,218360913,271347114,81123346,67656639,55316890,44470757,35093974,27007688,27007689,255953992,257452592,256331540,254335794,11823333,7901385,5022747,3040264,3040267,4380977,4380973,6973757,10572773,8276802,6063604,3793810,2272456,1510107,856435,856431,1510093,2615033,4363756,6943723,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375534,3171881,3171880,5199070,6950608,4367512,4364691,4364689,4367538,6950657,255024203,268380083,46842288,258036051,84491861,271765745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7931354, s2 = 10255118, dlinesl.size( ) = 18 s1 = 14087740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087740, s2 = 6829620, int(edited[s2]) = 0 s1 = 14087740, s2 = 6829620, d1 = 45, d2 = 36 Dl.O(d1) = 59017962,257777940,42007279,33063448,255656248,18754981,254646342,37813298,37813297,47735537,47735538,59134081,49338274,49338275,55247655,44399640,44399638,55247652,59918323,72658177,86258464,86258475,72658192,72658184,59918327,59918326,72658181,72658188,257596352,48525000,59918332,258783057,67589372,67589370,67589375,62506356,50905831,40789119,40789118,50905826,62506352,75425374,75966322,89745792,95114265,95114266,105368684,91150803,77235044,77235045,89172927,75425383,72658195,59918338,48525008,38609598,30035475,30035473,38609589,30035471,22660459,22660458,30035470,38609583,48524987,59918310,72658171,86258454,100224659,98829105,259934911,103262808,89173127,75425586,62506535,62506536,75425589,89173130,77713605,64532640,52633841,42248608,42248607,52633836,64532632,77713591,89745736,75966266,62983463,51305218 Dl.O(d2) = 63139880,76147585,73065735,73065734,63139858,51440724,51440723,258187555,48926079,44486090,44486091,55332169,67671670,72103882,59371264,59371265,72103886,85689732,76147743,76147745,63260626,51543969,51543970,63260631,67671662,67671661,81137703,72448839,59711842,59711841,72448836,63260610,63139892,51440759,41241764,32415860,32415858,41241762,41241773,32415865,32415864,41241768,51440760,63139894,51440797,41241794,32415875,256596707,24790305,18307497,12995546,12995547,18307500,24790308,32415884,41241822,51440831,51440830,63139963,51440843,51440842,257094276,62843987,75808029,74688506,70400388,57706568,57706569,63139982,51440858,51440857,48466378,48466343,48466342,59857247,48466328,48466330,59857249,72594857,62844071,51440880,41241851,41241850,51440878,63139994,76147681,65986456,53918017,53918016,65039817,53057123,42609400,42609401,53057126,65039824,65039890,78319716,89955546,76147701,76147700,76147705,63140010,51440894,41241867,32415915,32415914,41241863,51440891,63140007,76147698,76147732,63140028,63140026,76147727,72594908,59857298,48466381,38553735,29984385,22617131,22617129,29984384,268952983,59857293,72594905,75808050,62844009,51194234,51194235,62844014,75808054,79353275,65986462,53918023,43393039,43393038,43393032,42609408,33585633,33585634,42609412,53057131,53057170,65039894,78319719,92353130,92353131,78340139,65061364,65061363,78340137,65986657,65039875,65039876,78319703,89955541,76147735,63140031,51440906,41241872,41241874,51440913,63140041,53918122,48466377,48466376,59857252,48466370,48466372,59857283,72594892,72594901,86192304,89590493,75808066,75808065,89590510,89590490,75808045,62844004,53918036,43393045,34293280,26417111,26417110,33585639,25790085,19145131,19145133,25790089,33585645,42609433,53057164,65039883,78319608,65039802,65039803,65986662,53918144,43393108,34293325,34293324,43393104,53918137,65986476,79353277,76147724,63140023,63140020,76147718,89955555,260219251,95194968,95194967,95194957,81137722,81137723,84902615,84902614,81137776,67671735,55332213,44486115,35109035,27022950,27022952,35109041,44486128,55332235,67671776,81137760,89955517,76147672,76147673,79353256,65986432,65986430,79353229,78319561,65039765,65039764,73605319,60855604,49453829,39521396,39521394,49453826,51064568,62693841,75638148,75638153,75638157,75638195,75638160,75638159,89399324,103493637,93489519,87227333,73605303,73605304,79353233,79353232,93489534,81196679,67731236,67731237,71329446,81137762,67671719,55332200,44486106,35109027,35109028,44486109,51064492,51064497,51440868,41241842,41241841,51440865,63139986,55390960,55390961,67731233,81137772,67671730,55390797,55390798,51064553,40923947,40923945,51064545,51064575,40923955,32146591,32146588,40923950,51064558,62693831,75638133,67731123,55390803,44543479,44543480,55390806,67731125,81196610,93489529,93489530,103493646,89399334,75638169,75638089,62693784,62693783,62693758,51064486,40923892,32146547,24563785,24563786,32146550,40923897,40923987,32146610,32146612,40923991,51064617,44543660,44543661,55390958,67731230,81196673,81196640,67731158,55390849,44543521,35165831,35165832,44543523,51064564,51064563,44543506,44543505,40923909,40923908,35165922,35165796,27078097,27078095,24383826,24383831,31916226,37261446,28729381,28729383,37261450,47167419,58556377,58556351,58556350,62510532,62210212,62210211,55390927,44543629,44543627,55390922,67731207,58348197,50696749,40637394,37261475,37261472,47167448,51970667,58556316,47167450,256542582,41662859,32751819,268383448,13159587,8969796,8969798,13159593,18521159,25059795,21471862,21471863,28729352,37261398,47167351,47167380,37261422,31918428,28866341,21591729,21591728,21471876,15469354,15469353,21471874,28729366,37261432,37407578,47316070,58705181,58371998,47001836,37115991,37115990,32751833,25059796,25059798,32751835,40310955,41662890,41662889,44543613,35165903,35165904,44543616,257090152,37115985,42052407,37116091,37116090,40789131,32032190,254608404,18049869,18049868,255194362,40789124,50905840,62506365,73610768,60860693,49457695,39524080,30913625,23476941,17194545,12178694,8210334,5281247,3234526,1897368,1897367,3234524,267907055,12178686,17300763,23613839,31097440,39775501,49795063,48077768,38164993,38164994,38164996,31097455,23613851,17300774,17300775,18286877,12979660,8835496,8835493,12979656,18286869,24764000,32384422,41204751,43871403,34601172,34601173,43871405,41754698,32833778,28855003,21582374,21582376,17178854,17178855,18674476,13282285,9066241,5928291,3706851,2220020,2220023,3706919,5928468,8736441,5816568,5688086,3538436,2106294,1254133,1254136,2166971,3628322,3628321,5816585,8737470,8737473,12848918,18118192,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,11861558,16948103,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,3737491,3737494,5976400,9132556,13363054,18766083,25245618,31315362,24555960,18118386,12847505,8736651,8736652,5687904,3538353,2106259,2106260,3538355,5687920,8736922,12848001,18119183,24557034,24557143,24557142,32138843,32140603,28782887,21519533,15508361,10725571,10725570,15508357,21519528,28782877,37318793,47227794,47227796,58621030,47927756,38013535,29451447,22117640,16004513,16004514,22117641,29451449,38013540,267960362,37522082,39846875,32821460,25117381,25117380,22696992,16494404,11492174,7643437,7643439,11492176,16494409,22697005,255738282,48570803,43885029,34613772,34613771,43885028,255322710,44377004,34998617,34998616,34998439,34613978,34613979,26916872,20032425,20032424,26916868,34998325,34998260,33072398,25342495,25342492,26624916,19814343,14193153,9756975,6415479,4024945,4024944,6415476,9756967,14193136,19814316,26624868,20032816,14349596,9859387,9859386,14349592,20032810,26917273,20904260,14999523,14999522,20904253,28076469,255738310,23099720,23099722,23099650,23099651,30515562,39112808,39112915,39112914,33226626,25478245,18876417,13451498,9199010,9199011,13451499,18876419,25478247,25478240,25478241,33226624,42186830,42186821,39930356,31255291,23770829,23770824,23099655,16843424,16843425,23099656,30515568,39112818,31255269,31255268,39930329,268421594,39930334,39930333,49947714,61425397,74204047,73192688,60446290,49042539,39112857,268421596,23099693,30515580,23099663,255961115,39112827,39112878,49042530,54639443,52355714,42016528,268140104,25342577,33072500,31255279,23770815,23770814,23099705,23099704,30515635,30085868,22704033,16500277,11496876,7647061,7647060,11496874,16500271,22704025,26916836,20032405,20032404,22697006,22697005,255738282,48570803,43885029,43885030,54627390,54627480,43885136,34998298,26916848,20032412,18573975,18573977,25126558,32831575,28948416,28948414,31909199,31909198,31909225,26917374,20032904,14349661,14349660,20032899,26917367,26916761,26916762,34998224,34998427,34998428,44376821,52355681,44377160,44377009,34998623,26917212,26917211,34998621,34998650,34613784,34613777,26624762,19814249,14193095,14193097,14193111,19814272,14193150,9756975,6415479,4024945,4024944,6415476,9756967,14193136,19814316,26624868,20032816,14349596,9859387,9859386,14349592,20032810,26917273,20904260,14999523,14999522,20904256,28076472,36544411,46405834,44377276,34998903,34998901,42177984,34998244,34998246,34613946,34613945,36544403,34613981,26624932,19814354,19814355,26624937,34613991,26916791,20032362,20032363,20032368,14349281,14349280,19814289,19814290,26624818,26624910,26624907,34613955,28978106,28978107,31510878,24010769,17663829,255577875,31510881,40196833,36835168,28338366,28338367,30880284,23449294,23449295,30880286,39485972,49415534,60815284,73561467,87179078,80404648,80404649,94464478,94464476,94464475,81146778,67680627,256564300,41682580,256055954,32766463,32766464,41682495,33143281,25403273,18813746,18813745,25403276,33143285,32766453,32766454,37185053,28664122,21418338,15427889,15427888,21418336,28664119,21447259,21447260,28699177,32301693,41112747,37202572,28679491,21430652,15437246,15437247,20268187,20268186,20268192,27192517,35312213,44731577,47098638,47098637,256325961,21430606,15437211,15437212,21430608,28679427,21430624,15437227,10672133,10672131,15437220,21430616,28679441,37202509,41157526,47095330,47095331,58473171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087740, s2 = 6829620, dlinesl.size( ) = 2 s1 = 14087740, s2 = 6829620, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14087740, Dl.E( ) = 48, 2e-05 seconds used appending s1 = 6645200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 144105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1976272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1976272, s2 = 9812660, int(edited[s2]) = 0 s1 = 1976272, s2 = 9812660, d1 = 31, d2 = 36 Dl.O(d1) = 51067108,51067109,62696124,258952479,75639842,257714933,51066747,40926177,32148745,32148746,40926180,51066754,51067100,51067147,62696155,75640107,75639880,62695836,62695837,75639882,75425453,75425452,62695865,51066833,51066834,62506414,75425448,75639831,75639830,75640302,89401170,103495141,89401035,258952476,62696108,62695872,62695873,75639910,62696137,51067122,256579053,24565664,32148983,40926496,51067129,62696142,75640140,89401049,103495152,89401047,75640136,62696131,62696132,62695772,62695771,75639835,89400887,103495081,89401002,75640055,62696158,62696157,62696020,60535949,60535948,73280284,62695863,257129924,62695871,51066842,40926255,40926254,51066839,43385947,43385946,53910168,65977041,79341448,75639903,75639902,62696119,51067105,51067104,257129935,40926494,51067126,62695809,62695808,51066988,40926387,32148901,24565620,18125720,12852710,8740219,8740220,12852712,18125723,24565624,32148910,40926401,51067014,62696030,63970370,62695994,51066970,51066971,256579048,75640033,72258056,59524256,51066848,40926258,32148817,32148816,32148885,40926365,51066957,62695987,75640025,75639888,75639887,89400915,75640121,75640119,89401041,103495116,103495076,89400870,75639854,75639853,62696000,51066985,51066981,51066978,40926382,32148897,24565618,18125718,18125717,24565614,24565622,32148905,40926394,51067000,62696016,257714950,75639890,62695844,62695845,75639892,72258059,59524258,51066865,40926276 Dl.O(d2) = 59894719,61880403,50390745,257487875,47712014,59109844,71848352,268993336,59109799,258721445,84848612,71274763,58543205,47154908,37249996,28719146,21463011,21463012,28719149,37250000,47154917,50390738,50390739,59109878,47712057,47712058,40119214,40119215,50140022,61621702,59109913,47712414,47712415,47713531,256366271,21913908,15831150,10970834,10970835,15830314,10970306,10970305,15830313,21912707,29229127,37791215,47712024,256366149,21912980,15830503,15830504,21912982,29229475,29231434,256366123,21912742,15830338,15830337,21912719,15830326,10970310,7261357,4579465,2755198,2755199,4579471,7261366,10970331,7261429,7261428,10970413,15830507,21912983,23818808,17483683,17483682,23818804,28566770,28566768,21339564,15365454,15365456,15831879,10971406,10971407,10971410,15831890,12327509,12327508,17483676,23818796,21913014,15830523,15830524,21913016,29229507,37789748,29227739,21911591,21911592,15831102,15831101,21913845,29230558,37790489,37789462,29229522,21913032,21913031,29229520,256366085,29228740,37790888,47711814,59109649,269330925,47711434,59109309,269800371,268934619,37791644,29229518,29229517,30612876,39209034,47711812,59109647,47712439,37791638,37791637,39209037,30612880,256469031,257594173,49135897,59111933,59111934,71850087,72258076,59524289,48137086,48137085,59524288,72258074,73280264,73280265,60535936,49135891,39209045,30612884,23193037,16925913,11846282,7917565,7917564,11846279,16925908,23193034,30612874,39209031,49135877,60535919,51066682,51066681,62695715,59110617,47712933,47712934,59110620,71848979,73280287,60535951,49135903,39209055,30612893,23193041,16925915,16925914,23193039,30612888,39209047,49135894,60535941,62162196,74973816,88615785,99374909,85698911,72112695,72112696,73280306,60535973,49135925,39209073,30612903,23193047,23193048,30612905,39209075,49135871,49135869,258202137,49135915,39209064,39209065,49135917,60535967,73280302,86891437,86891513,86891435,269840529,258202149,86891499,79341446,65977033,53910156,53910157,256579038,39209148,258825193,89401016,75640094,75640093,86891464,73280332,60536006,60536005,73280328,61258883,61258882,74038640,86891490,73280369,60536039,49135972,39209124,39209125,49135975,60536044,73280374,73280317,60535985,49135937,39209086,30612910,30612911,39209089,49135941,60535992,60536001,49135944,49135943,60535996,73280327,62696048,62696050,62696058,51067040,256579049,24565627,18125725,12852715,12852716,18125730,24565633,32148932,40926430,51067057,62696067,63970367,52146175,52146174,58176562,58176561,70890794,60536055,49135984,39209130,30612936,30612937,39209134,49135992,257129934,86891451,73280313,60535982,49135933,39209082,39209080,49135935,48579327,38663198,38663199,48579330,49135930,60535979,51067028,269441216,51067017,40926404,40926405,51067019,50336708,50336707,61819878,74611702,61819889,51067046,51067047,62696062,62696071,62696072,65097969,53111186,42659336,42659338,51067280,51067279,62696173,62696172,72240193,72708209,257714932,85832251,258952478,75639829,257714929,49153384,49153383,58143730,46776043,46776044,58143732,58056386,58056370,46682069,36796080,28298860,21090816,15149711,15149710,15149716,10448410,10448409,15149713,21090824,28298872,36796100,256296753,28298960,36796232,46682232,46682231,256842295,28400772,21180234,268378807,15219585,10498437,6922744,4349086,4349084,254722443,15219576,21180222,28400755,36898119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1976272, s2 = 9812660, dlinesl.size( ) = 2 s1 = 1976272, s2 = 9812660, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1976272, Dl.E( ) = 38, 1.72e-05 seconds used appending s1 = 11228406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14102871, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9798397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8194518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6618122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6618122, s2 = 6807760, int(edited[s2]) = 0 s1 = 6618122, s2 = 6807760, d1 = 13, d2 = 4 Dl.O(d1) = 256594431,51395499,63087481,76087831,63087287,269855824,104013652,260093976,115879202,101833010,259751278,69420010,56836795,45665652,45665648,56649584,57269619,57489568,53800493,43275742,34179397,26308023,19583202,14029774,9645260,9645262,14029751,14029675,14029679,19583030,26307656,34178713,257857559,65849782,65849780,79213181,93344028,107769884,260950019,144732931,271934183,258330469,51126616,51126617,45560217,45560216,45724407,45009749,35536924,27376237,20415556,14651790,10078230,10078228,10174271,10174273,10133057,10063957,6611503,6611501,4182505,2500989,1443016,1443011,2500988,1443016,1443011,2500773,1442954,1442950,2497511,1441529,1441525,2497543,4178035,6624426,10086590,14636047,14636043,20393416,27346116,33609738,33609737,36360992,36360989,46184649,55827490,56776310,56776314,56286665,56286662,68785086,59376269,59376267,56340592,56340591,68846832,82372401,258514486,82944143,69424495,68495686,56035413,56035412,257868958,36322078,36322077,46131301,57427149,70083902,259857593,261017595,260371434,81947168,68423674,55974067,55974069,68423681,68485288,56026410,45048611,35562409,27392193,27392191,27389629,20423537,14656663,10081114,6711150,6711148,6641307,6641306,6648436,6611520,6611522,4182507,2500989,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634477,10103302,14690189,20472247,27460180,20476897,20476892,27466344,35668486,45195444,52884718,52885311,42480135,42480140,52473959,56648801,52471807,52471805,56688937,56688938,68874292,82399918,258962647,62918560,51250831,51250832,258337225,89668046,103765814,117903113,131718988,261910777,144959941,131717539,131717540,125297734,125297733,131717542,144959945,150958703,138096600,124562483,124562484,138096603,125102800,111211970,97200194,83272465,69736175,69736174,259227997,83629691,97512478,111465367,124188151,110060563,95841433,95841434,110060564,124188156,110163553,110163552,124267843,137887214,150815555,151261562,151261564,151259883,138505315,125102809,111211979,97200201,258600399,258600397,69736178,83272467,259849523,125102804,270655966,91554419,77626975,77626973,91554416,259021252,124931615,111011255,96979263,83043737,83043738,257779762,130651618,143955331,137947665,124352263,110271932,110271933,109645823,95408233 Dl.O(d2) = 10219390,14860853,20731059,27859048,36268608,35555454,35555449,35756319,27520534,27520530,27520552,27520568,35756363,45326377,257779610,82426039,91923288,78000831,78000830,91923287,269073972,68404520,257339715,256243857,20407382,14645480,10074475,10074476,14645481,20407384,20619993,20619992,27533200,27690823,20620082,20620047,14788039,14788040,20620068,27690799,36021148,45713322,56900379,63792718,68866483,68866484,79049539,65695604,56902601,56902600,69498477,83025991,82456299,82456298,96326463,82316626,68790809,56291578,56291577,56302924,45262830,35714238,35714236,45262823,55803988,56924636,45733201,36035675,27700340,27700336,20638009,14800321,10179340,10179337,14800315,14800470,10179638,6689891,6689893,10179648,14800837,20638796,27718174,36061294,45768547,56970087,69202144,82730296,96700383,110777035,97258210,83327877,257978095,57147060,69783525,259229773,111266712,125149428,138541324,150862882,137956624,124365342,110289156,271004382,69576779,69576778,83104278,82525104,69996000,57346652,56443450,45366638,45366639,56443452,56443498,56443500,56587047,56019005,56019006,68476788,75708758,75708759,89473186,103570609,117703444,131507591,144733166,262405355,150869868,138012616,260433971,259199989,68694749,257346235,35661632,45187248,56206383,68694752,69333441,69333440,258729028,82014960,271205041,118137019,103984763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6618122, s2 = 6807760, dlinesl.size( ) = 2 s1 = 6618122, s2 = 6807760, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6618122, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 8266821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6756164, s2 = 6431361, int(edited[s2]) = 0 s1 = 6756164, s2 = 6431361, d1 = 17, d2 = 11 Dl.O(d1) = 258121085,58221689,46853879,36975188,28477493,21258570,15294349,268153528,255287752,271765999,261478202,118237734,260218948,257735750,256596596,35116344,35116345,41239277,257149006,13334254,13334253,18730885,255252953,13334252 Dl.O(d2) = 5961247,254297423,738789,738788,1294358,1294342,1294343,2231900,3727845,5869917,5980446,5980445,9138922,11145084,13188546,14235570,9786091,9786089,14235564,14235582,254409510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6756164, s2 = 6431361, dlinesl.size( ) = 2 s1 = 6756164, s2 = 6431361, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6756164, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 11077774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077774, s2 = 7100017, int(edited[s2]) = 0 s1 = 11077774, s2 = 7100017, d1 = 41, d2 = 43 Dl.O(d1) = 40941317,51083713,62714817,75660800,89424222,85378924,71789623,59048128,258092177,85378923,99323586,100872249,114922769,104260223,90126319,76310577,63288323,63288324,76310578,76310491,63288237,51570387,41349059,32502356,32502357,41349061,51570528,60254376,257379118,90126313,86586854,72989737,72989739,71444583,71444584,256475388,82111057,68585964,68585965,82111058,96141470,108366218,108368118,94028555,79947523,79947521,72953857,72953858,60214837,60214839,72953874,269693062,41572731,32677085,24999424,18474349,18474350,254699970,19981242,19955152,14289239,9832451,6458829,4047987,4047988,2423733,2423730,4049288,6447276,6447273,9810545,14276761,19933859,26511945,34444736,43634331,43822551,43598407,34421214,34421217,43598417,54229187,66092606,66092607,79474269,83759380,79962250,66553471,54356815,54356816,66553480,54819243,54819244,54166374,51773942,41500919,32619238,256608057,51773733,63554581,269674354,83776889,83776877,83776878,97639274,270190922,258574036,79937462,94019864,256248500,122399064,109057173,94783405,80711057,80711058,254990082,106002487,256778350 Dl.O(d2) = 257233376,33922066,26088642,19399227,19399228,19233145,13741231,9414525,6168301,3859577,2312143,1341349,766036,766035,1341347,1417101,1417100,2451082,4097186,4097187,6168299,9414522,13741227,19233616,25893175,33699150,257234337,65163045,78445972,271079797,261475815,147967922,134846307,121046431,106790770,106790769,121046430,134846305,134846309,261475815,147967922,147967923,147967921,260404296,106790770,106790769,121046429,134846302,147967917,262503435,181455932,262577966,168547599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077774, s2 = 7100017, dlinesl.size( ) = 2 s1 = 11077774, s2 = 7100017, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11077774, Dl.E( ) = 44, 1.72e-05 seconds used appending s1 = 1958180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8196700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11089630, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8258116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14929581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14929581, s2 = 9737493, int(edited[s2]) = 0 s1 = 14929581, s2 = 9737493, d1 = 25, d2 = 13 Dl.O(d1) = 48165554,48165555,59552189,72286331,71875301,71875302,269915130,47738293,37815903,29250663,258748017,58090153,46718380,258651601,258969780,70933917,256848524,74159574,87763901,101736430,100560370,86598930,77302785,64154256,64154257,59587563,59587561,72321990,64154247,64154246,75626878,62682259,54589214,43844905,34573505,34573506,43844909,54589222,66848007,80277572,94333971,99402105,113402889,127260993,140606638,258620068,114592166,259246338 Dl.O(d2) = 74134382,87740285,101714659,115760827,129658621,129658630,270882326,87740291,87740290,257385516,77302785,64154256,64154257,59587563,59587561,72321990,64154247,64154246,75626878,62682259,54589214,43844905,34573505,26586760,19782552,256720307,257036908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14929581, s2 = 9737493, dlinesl.size( ) = 2 s1 = 14929581, s2 = 9737493, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14929581, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 137186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7932526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 244869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14064202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9352477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9352477, s2 = 9212809, int(edited[s2]) = 0 s1 = 9352477, s2 = 9212809, d1 = 9, d2 = 38 Dl.O(d1) = 18629174,18629175,25189807,32900066,268014864,50357134,254609046,17770659,254609950,268117516,29423894,22093171,15985522,15985521,22093168,29423892,37986002,254972432,48161739,48161738,44408514,35033763,35033762,37691565,29129415,254980406,30706152,29132918,29132920,29133790,21826691,15758926,15758924,17517545,23861258,30436025,26950830,20066228,20066227,15724471,254229724,22093123,15985489,15985488,22093121,255047466,15564553,21590794,23304230,30721769,29880222,29880221,24630349,18176367,12890399,254627467,3552812,2116128,1219567,688949,384677,214967 Dl.O(d2) = 1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,2312834,3822057,6108149,6274899,6927123,254148604,254303308,12279587,12279588,17422154,23747602,24097383,254812838,24097320,17738679,12551084,12551081,17423650,17423649,12552879,12552880,17741149,24099788,31603555,31701967,24194218,24194219,21018524,15096040,15096041,17729242,17729243,24086549,31590440,38089682,33169355,31601739,31601738,37370523,31695345,26650725,19837201,19837202,26650727,31588426,24083596,17726306,17726305,12580684,12580685,17776281,17874454,12657800,8593740,8593738,12632707,12632706,17839399,24209498,31717148,40409164,50443144,61933762,74727316,88355471,257679952,130281270,130281266,116444514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9352477, s2 = 9212809, dlinesl.size( ) = 2 s1 = 9352477, s2 = 9212809, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9352477, Dl.E( ) = 40, 2.29e-05 seconds used appending s1 = 8518856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6729837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9825471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14916378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14916378, s2 = 6764235, int(edited[s2]) = 0 s1 = 14916378, s2 = 6764235, d1 = 7, d2 = 7 Dl.O(d1) = 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Dl.O(d2) = 31586164,31586165,40273079,42488232,33491967,25716305,19087613,19087612,25716302,33491961,35034573,26954560,20070224,20070225,26954561,35034574,35034579,26954567,26954566,35034576,44409089,55256492,58921324,58921323,64690991,52776910,42519388,42519389,52776906,42378025,33389453,25623836,19009255,19009254,25623835,25739664,25739662,25739663,33519327,33519326,25739661,25739660,19106320,13641563,13641562,19106315,13641565,9341444,9341443,9290715,9290714,13569550,13588484,13588486,19036510,19072760,19072758,25698481,25654671,19035795,13587827,9303906,9303907,13545999,13546002,9333887,6113856,6113854,9333878,13631143,19092696,13656225,9351444,9351443,13205030,18581877,25135706,18581929,13205062,9001813,9001814,13205066,13204802,9001787,5876777,3669297,2196386,1276037,730005,730004,1276028,2196360,2467273,1426209,1426208,2467269,4124131,6582387,10014980,10015216,14555230,14555588,10015412,10015410,12470227,12470225,13563200,19004445,19009131,17873528,12657155,12657154,17873522,24250902,25625536,33390748,27213658,20285219,20285218,25758492,25758493,33213286,25789371,25789372,31755223,31755222,33054717,25326062,18747060,13346812,13346811,17035104,23294769,30711297,39308959,40456187,50492006,40456182,31761819,31761820,40456184,50492011,61983887,74780032,88411437,102411364,258219298,61983884,61983885,61983883,50492009,50492008,61983881,58224942,58224943,46857200,36978621,28481296,268198282,46857201,55678126,44769257,35343745,27220089,27220090,30168327,255250586,22759068,22759067,30146013,256433928,25554001,18941164,18941163,18941177,18941176,25554016,33315918,25554014,25554013,33315917,33315914,33315915,42296490,52683100,52683096,42296482,33315908,33315907,42296481,52683095,64583617,52683093,52683094,64583620,64583630,64583631,72455067,268403918,72463393,72455069,72455068,268403916,64583629,72455070,72463392,59727818,59718936,48333794,38428726,254761300,22506716,22526733,22526732,29865262,22504038,16329949,11361166,11361167,254393002,267891800,22509624,22509623,20122516,20122514,23600714,17288153,12167083,12167082,254582322,23334612,22972746,22972747,21105535,15160473,10455173,6891745,6891746,6891759,6891757,10455191,15160500,21105580,28315736,31246058,29928386,22568014,22568015,28226692,28226691,36720253,36783935,40309130,46309510,36495477,28032724,28032725,36495479,36798952,28301801,21093126,15151196,10449242,10449243,10448955,10448957,15150684,21092341,15151405,15151404,21093389,21093387,25088986,22567833,22567832,28303917,25403962,25403963,28300071,21091748,15152091,15152090,21091930,15150433,15150434,21091931,28300309,28299499,255420488,15150037,18544323,23612275,23612274,21616043,21616044,25087742,32785611,32785480,25087623,18542765,18542766,25087624,32785481,36720066,38373923,36808856,28312017,28312016,36808854,46407344,46689739,36805749,36805750,37883577,31659799,24149363,17782385,17782384,24149361,31659795,28309013,21099077,21099076,16957532,15229082,10505162,10505160,15229089,21192380,22972978,16736455,11692997,11692994,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,21792437,15733922,15733923,12200988,254519082,17093364,23362167,30787575,28756502,22508713,255045380,16325138,16325129,16325130,22499355,19365289,19365290,26044308,22009285,22009284,29341094,31270631,23785231,23785230,31270630,39945280,258253695,258646094,115843529,129743102,143074225,261785126,86858416,86858417,100839337,113931021,99908432,85950903,72355699,70442211,61252174,58720587,47332060,37423745,37423744,47332059,255966222,28068599,28068598,36535389,46396247,255847790,28068595,28068620,20897388,20897387,28068619,36535421,46396288,46396289,57747052,258427027,52872546,42468749,256146951,19075765,15136661,10439710,6882201,4320187,4320188,254718907,10439712,15136666,254684972,5810303,5810302,8904069,8694437,8694436,12788999,14469691,14469690,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181817,254549036,17119198,14519034,9990433,9990432,14519030,13531467,9261646,9261647,255268941,25575630,255244700,52703137,64603728,77786643,91714400,105921836,105921835,259530102,102032585,116089366,117230248,103113793,89042708,89042707,258311386,64753437,64753436,77947418,73972376,61193859,257052496,23538482,23538483,17230598,17230597,23538484,31019439,31019440,33959343,268940855,22190919,22190920,29534020,31105172,23620071,255072284,28754201,21494872,15488659,10710645,7075910,7075909,10710643,15488655,21494868,28754194,37288103,254692558,22874006,22874005,27057708,20164197,14466336,9952936,6541297,4098205,4098204,6541294,9952934,14466334,20164192,27054950,35140571,44517164,44532202,254473306,81183241,95238386,85088301,74352738,61575953,50096142,47397601,37489181,28946591,28946590,25606038,25606039,33370807,42359761,256910764,74780283,77979851,64785924,64785923,256662892,58381559,48736309,38815993,30232750,22840143,17328713,17328714,23645571,23645620,17328750,12203712,8235342,5307486,5307487,78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38307461,48217141,38307830,29739725,29739724,38307184,38307185,38307894,48217653,39358360,30757620,23335023,23335024,30757622,29739968,22381535,22381536,29739969,38308137,48217864,59604757,59604116,48217133,38307450,255956778,59604112,59603968,48216902,48216901,59603965,48216899,40426024,31732083,31732084,40426027,48217596,39358432,256480419,30757591,31504018,29740248,22381711,16224478,16224477,22381714,29740252,38308530,38308154,257392291,46386602,48217086,38307400,29739432,22381323,16224262,16224263,22381325,29739622,38307671,48217387,59604226,48217271,38307574,38307573,36526667,28060827,28060828,36526669,46386526,57736315,255512334,48959882,48959886,57736232,46386410,46386409,39038850,39038849,36526548,28060753,28060754,36526552,46386401,57690186,46342369,46342368,48217287,38307583,38307542,29739950,29739949,38308107,47993349,47993348,59383033,72115153,72338961,72338960,75448552,73248344,73248343,73394026,64151812,52299588,52299587,60501298,49097617,39167392,30569506,30569505,39167387,49097609,59488477,59488476,72224345,72105269,59372668,59372664,72105261,73095677,75448625,62526437,62526436,75448624,89200354,103295167,257820512,74413277,61633400,50923135,50923136,52300580,255956758,31449751,31449752,38188064,29620967,22269877,22269880,29620981,38173057,38173058,40803786,38173067,29606208,29606209,38173072,41957903,42374790,36629434,28155390,20976398,20053714,20053715,26939582,35020449,42500679,256148463,21605579,15577127,10775250,7119518,7119517,10775248,15577125,15577163,10775280,7119535,7119536,254218944,21605636,27991014,20826613,14928240,10265315,10265316,14928242,20826616,20346277,14603511,14603512,17159891,254483858,39468531,255364374,57980694,48860925,38941448,30355265,22953480,22953479,26376270,19642803,14078874,9683756,6369587,3996865,3996867,6369591,8127904,12086562,17189091,23469736,30904295,23785751,17454956,17454955,23785748,19097971,13635186,9336827,9336826,13635183,255525187,16978872,16978882,23245384,30662789,25825299,19173987,13692162,13692163,19173989,25825302,30811385,23382824,17112295,12025377,12025376,17112293,23382822,30639683,30639684,23216484,23216483,256470905,47651820,39112258,30515046,23099227,23099228,29169621,22223112,22223111,16090205,16090204,22223114,21633332,21633334,25380960,18796281,13389490,9153449,5990472,3745793,3745791,5990468,9153439,13389463,18796235,25380901,28907381,28907376,28907359,255788728,20963277,20963276,28141480,36615225,42771636,42771635,53222455,42997087,33942190,33942189,42997084,53472749,65494045,78824906,92931181,107335416,121716105,135659728,148907820,161222829,172431143,182388482,191094953,198587469,204935502,210196631,214498389,218034513,221000405,221000404,223536837,265807233,230820493,232151711,233352859,234441655,266478985,236337301,237163835,237567421,236781171,235917195,234969312,233927532,233927531,233404097,274561732,229407925,227744312,265408772,221164830,218234807,214747303,210509709,205323556,199059349,191654429,262758826,162090336,149877286,136735059,122902964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14916378, s2 = 6764235, dlinesl.size( ) = 2 s1 = 14916378, s2 = 6764235, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14916378, Dl.E( ) = 8, 2.72e-05 seconds used appending s1 = 8216959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8216959, s2 = 8087330, int(edited[s2]) = 0 s1 = 8216959, s2 = 8087330, d1 = 17, d2 = 19 Dl.O(d1) = 14983951,14983952,255788685,20936946,28113902,36586531,46452467,46869328,57862687,57761885,46410974,255794278 Dl.O(d2) = 257618658,256492083,23473708,17192233,17192235,23473733,17868053,12653333,8590948,8590949,12653339,16222594,16222595,18761864,15129003,10434877,6879242,254718637,15129000,20236384,20236380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8216959, s2 = 8087330, dlinesl.size( ) = 22 s1 = 14084846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6516362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11237732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237732, s2 = 8052391, int(edited[s2]) = 0 s1 = 11237732, s2 = 8052391, d1 = 25, d2 = 21 Dl.O(d1) = 216415574,212479846,264271101,194891268,186789566,263222873,166957444,155283800,261266145,115405012,101346732,260093779,129312763,261810557,261266147,115405014,115405013,129312765,142663296,137792111,261574819,262593743,166950952,261810371,129288248,115371611,115371612,129288250,142646724,155273399,273153107,178831790,168527746,157079151,270774570,123250805,109025789,257984172,270774568,271741836,136971318,127025732,127025731,140376846,261013888,120529180,120529181,134353578,147449921,134242762,134242761,136493997,122564040,108193563,108193562,108814530,94590600,94590598,93577294,79440598,79440595,93577285,108007094,122422162,122856347,122856310,120770752,106525817,92238113,92238111,106525813,109011526,108860145,94968242,80906170,67437967,55102272,44264052,44264049,55102263,67437938,80529143,80529144,80529154,80529152,94585752,108853665,94577635,80522786,80522787,94577641,94692161,80626945,80626943,94692153,93803390,79693844,79693846,93803373,93803370,92243943,78225582,64959969,64959970,78225584,92243948,101478502,87511014,87511013,101478479,87510994,87510993,101478478,106273718,92050305,270034662,64884496,78099373,78099362,78099361,74938419,74938420,88580563,102590309,116691379,123920916,110901711,110901710,101272060,87275360,73654278,73654277,87275356,101272054,101272092,115345199,101272041,101272039,94691018,94691020,108938262,94669334,94669332,108938260,108938288,120453810,106534678,92243956,78225588,78225590,92243962,106534689,108533218,94505782 Dl.O(d2) = 28714819,33721023,25914303,19252252,19252251,24371790,17974091,17974090,19464851,17756343,12564383,12564381,17756337,22244593,16107738,11188494,7423769,7423768,11188492,16107731,16107655,16107656,20347705,14604756,10049553,6603763,6603762,7679272,11542709,16559899,12919919,8788879,8788878,9645941,9645942,14030569,19584132,16519197,16519198,12586098,8538496,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,11953689,10053668,10053670,8779649,5718112,3559681,3559679,5718102,8779634,12663405,8598997,8598999,7998894,5092033,5092034,7998901,11949418,17034960,22724968,16519711,16519712,19127494,13657138,9352094,9352093,10046132,10607190,13657114,13657115,254909478,33556729,260901323,133453365,133453364,146700530,159064661,273227993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237732, s2 = 8052391, dlinesl.size( ) = 2 s1 = 11237732, s2 = 8052391, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11237732, Dl.E( ) = 28, 1.19e-05 seconds used appending s1 = 2388490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2393281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13332409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13332409, s2 = 13360586, int(edited[s2]) = 0 s1 = 13332409, s2 = 13360586, d1 = 93, d2 = 68 Dl.O(d1) = 40532553,50569223,62016998,50525266,42714730,42714731,53164472,65148843,59364581,59364582,72097773,68071772,55672810,44763485,44763484,55672817,53855517,53855515,59366345,65922425,53855541,43331311,34232694,26357556,26357555,34232691 Dl.O(d2) = 26039994,33861780,42907336,35147254,27061561,20167728,20167727,20167732,20167731,22606679,16423604,16423603,22606675,22606690,22606691,29971774,38537914,48446552,59832968,270917694,48446445,38537803,29971682,29971681,38537801,42674810,49800739,42765756,42765757,49800673,39781527,31102877,31102873,39781523,43884331,46938087,46938088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13332409, s2 = 13360586, dlinesl.size( ) = 74 s1 = 9699536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14118471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13201935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8426759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6613187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3211161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9797727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9804825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8352067, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8527280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6508741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6508741, s2 = 10784673, int(edited[s2]) = 0 s1 = 6508741, s2 = 10784673, d1 = 33, d2 = 70 Dl.O(d1) = 255376578 Dl.O(d2) = 263777053,182737742,182737741,191391981,264108245,274065979,264403081,205146678,263777051,191391980,273819259,274065979,264667981,198839551,191391986,182737744,172836673,161677022,262544508,34166346,34166348,43256670,36619513,36619512,256702166,84081116,269784464,40780548,50896848,47174575,39296613,256411710,23283465,30699046,33204357,29151675,21843472,21843473,29151676,37711876,42188058,52546849,258407105,52691273,43343598,43343599,50677280,40620219,40620218,50677277,41788502,41788503,39364095,30762755,30762753,255666070,13081333,13081332,18417229,256092509,41466598,51735378,63512899,257791906,41466587,41466588,49223594,43889772,34618243,26628678,26628677,34618241,26628725,26628726,25478882,18877365,13452385,9199664,9199665,13452388,9199682,6023216,6023215,9199679,268145139,33227765,255666058,255666060,72835395,71778801,71778800,260476023,259473626,6797334,4262267,2548221,1467947,830452,468457,263452,263453,468459,830456,1467957,2548246,4262328,6797453,268987358,257394133,70450428,83978402,261608539,163489949,163489948,163489949,263062667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6508741, s2 = 10784673, dlinesl.size( ) = 22 s1 = 1069823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1069823, s2 = 269368, int(edited[s2]) = 0 s1 = 1069823, s2 = 269368, d1 = 45, d2 = 52 Dl.O(d1) = 27251862,256765709 Dl.O(d2) = 6737410,6737406,10253523,255356995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1069823, s2 = 269368, dlinesl.size( ) = 2 s1 = 1069823, s2 = 269368, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1069823, Dl.E( ) = 78, 2.81e-05 seconds used appending s1 = 8071982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9381832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16196007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7618831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9766675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8166882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1402799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6636064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6636948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6637224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 503117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9790369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14064344, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13470059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1862304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072258, s2 = 15702032, int(edited[s2]) = 0 s1 = 14072258, s2 = 15702032, d1 = 7, d2 = 5 Dl.O(d1) = 15360684,10612499,7002812,7002813,268206171,21314967,21314968,28538102,37036511,256314673,28538293,28538300,37036692,28538355,28538100,28538099,37036507,40040929,31360893,23866785,23866784,31360890,40040925,50060406,61538705,58279474,50844186,46914051,37036610,28538211,28538203,268611017,46914050,58279425,70994201,58279504,46914146,256314679,28538320,37036701,37036640,37036639,28538318,21315145,21315146,21315036,15344381,15344375,10598917,10598919,15344377,21315029,28538187,37036594,46914036,58279401,58279392,46914030,257432163,70994173,258304523,50648575,50648574,50648587,268694687,31889819,40598665,256562611,24362015,17966820,12732342,8651837,5627456,3496657,3496656,5627454,8651831,12732332,17966796,24361983,31889799,28538196,28538195,37036597,46914041,58279411,58279488,46914132,46914131,58279485,70994245,84557896,88611362,74969345,270411573,84557901,70994248,58279491,46914136,37036703,37036704,46914140,58279494,58279451,46914076,46914075,58279449,62157777,50648599,40598674,31889823,31889824,40598677,257111661,31889795,31889796,257111663,62157720,62157793,62157792,257111675,31889838,24362005,24362004,31889834,40598696,257695101,74969329,65783584,53727205,43215244,34127496,26261336,26261337,34127499,34126233,26260461,26260460,34126232,43213799,34127486,26261328,26261327,34127484,43215223,53727167,65783542,65783577,62157801,50648625,50648624,62157800,74969319,74969320,88611345,102617744,116713748,116713744,102617740,102617741,93253136,93253134,93253133,107655883,98697575,84769143,71199953,257446095,37203284,28680041,28680042,37203286,257446097,258472297,258073467,47353240,37446707,28907617,28907618,37446709,46935963,37057615,28556951,21331345,21331346,28556953,37057617,257434247,71017116,73354702,71363776,269318029,37325622,37325623,47234390,58627129,71363784,259317277,259943009,85042619,71470663,58740877,58740878,58740866,47353233,47353232,58740864,71470649,74969324,84557919,70994264,65783557,65783556,79137986,93253152,259281580,85042610,89056530,75327649,71013737,58298396,58298393,71013733,84578455,98503841,103127055,89056533,89056532,93253144,259732441,117242992,122030376,122030369,122030370,126370756,260764265,102617757,102617759,116713763,126811269,112957086,112957087,126811271,140161358,131040922,117243061,103127092,89056571,89056572,103127094,117243064,131040908,117243072,117243071,131040928,126811260,112957079,98967719,98967720,112957080,117243039,259563741,259563739,102617753,88611357,88611356,260166949,103127100,103127101,103127112,260178677,131040920,117243057,116713755,116713756,117243062,117243046,103127079,89056559,89056558,103127077,112693253,98697551,98697552,89056580,75327679,75327678,89056578,103127105,112693255,98697554,84769124,84769125,98697556,112693259,102116100,102116101,116173672,117243068,117243069,131040927,144278258,155948515,143409720,143409719,131040916,131040915,260775709,117243084,117243089,126556814,117243086,117243087,117243036,116173667,116173666,130081375,261082092,103127108,89056592,75327686,62427923,50844145,50844142,50844141,62427916,75327673,84769120,71199935,58477964,58477965,71199938,84769128,98697562,88128302,258277171,258277173,88128304,260138357,89056552,75327661,62427904,50844130,256567655,257701841,62427927,50844150,50844149,62427925,62427909,50844135,40738222,40738223,50844139,62427913 Dl.O(d2) = 85504007,99445863,113448144,116173680,116173679,113448159,113448161,103127134,89056601,75327696,62427935,62427936,75327700,89056604,91478980,77547718,64379475,269991655,91478984,105703471,119938951,131040951,117243102,103127142,89056611,89056612,103127144,89056620,75327711,75327712,89056616,89056617,103127149,95666629,258900212,113448155,113448154,127307149,271823006,270862720,258179794,42147691,33188356,25442846,256127337,42147693,50844160,40738237,31989366,31989365,40738235,50844159,62427938,50844167,50844168,62427948,75327710,89056619,103127151,260178682,85504020,71918638,59180474,59180473,258727897,68130106,55732533,55732534,68130109,61734645,269000875,31551031,31551032,40236971,40738232,31989364,31989363,24434172,18020701,12772564,8681820,8681818,12772562,18020696,24434165,31989371,40738247,50844173,62427933,50844156,257668940,68143086,81633179,95666630,109870657,123994435,258882760,81619595,258277169,50256335,50256336,61734641,74516145,257701847,40738258,40738257,50844189,50844184,50844185,62427945,50844166,40738241,256240823,27273161,35399671,31989377,24434169,256058791,40738251,50844177,62427961,55745188,55745187,62427964,59180478,47781352,37857643,29288912,21962530,15869046,15869048,21962533,256371495,47781355,258104115,258937153,62427930,50844153,40738227,40738226,50844151,50844187,258312481,258900210,81633176,68143083,68143082,81633174,81633183,68143092,55745195,44837434,35412185,27287125,27287124,35412183,44837430,55732560,44825200,35399691,27273176,20337151,14595526,10043050,6599906,6599905,4134728,4134671,4134672,6599813,10042879,255344547,27272589,35399083,44824656,55732100,68129801,81619329,95652215,271670699,123994228,137675540,150672050,162766441,173766175,183534963,175266516,164490592,152639858,139933616,126569806,112705690,98709896,84781621,71212586,58490793,256863714,37215775,28690952,21440208,15444885,10678201,7053459,4440029,4440030,4408458,4408456,4408457,7011956,10624149,255828479,21350903,256318469,37084912,46966165,58333970,71049854,58417657,47043053,37152612,254654146,28482307,22518560,16345178,254113452,13520251,9252101,6059498,6059499,7902723,7902720,11825163,12256068,12409725,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,11543189,7679619,4859326,4859324,7679612,8370568,5402245,5402246,8370574,12386996,17471317,12317598,12317596,17471314,17570247,14208826,14208825,17396612,12259629,8279498,5341960,3283377,1931062,1931063,1103211,1103212,1103145,619036,343989,343991,619041,1103170,1549983,881199,881195,881180,881178,1549927,2675703,4454030,7074630,10708586,15485689,255839691,28750906,37285224,47193776,58585154,71318611,84892561,98819720,112810949,126668000,257517068,85961356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072258, s2 = 15702032, dlinesl.size( ) = 2 s1 = 14072258, s2 = 15702032, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14072258, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1140465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8290798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2152148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2065722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8194339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8194339, s2 = 6482907, int(edited[s2]) = 0 s1 = 8194339, s2 = 6482907, d1 = 37, d2 = 25 Dl.O(d1) = 12573832,12573833,17768039,24131530,23971117,23971118,31466761,40150548,50174843,40149307,40149306,44730428,40355793,31660765,24150229,24130991,17767645,12573598,12573597,17767588,24130906,31638026,40327609,40327612,40327613,37082554,28578297,28578298,37082485,28578240,28578241,31638018,40327606,31638784,31638783,40328443,50355612,256424056,29679245,22327918,16181909,11247840,7466239,4718256,4654497,2804063,2804064,4654499,7367780,11108911,16001532,22113966,28513272,37012290,37012316,46891328,38336411,34083226,34083227,37012426,37012425,35046354,26965759,26965760,35046357,30452734,23044480,23044482,30452740,26956845,26956848,35036835,29482611,22144552,16026050,11127154,11127153,15524233,10736641,10736640,15524225,21540348,21540318,21540319,28807472,26222626,26222625,34083242,37012276,46891300,48963308,48963310,39042861,39042860,47959090,46891416,37012421,28513392,28513390,34665936,26672797,26672796,34665934,37529424,28985038,28985039,37012327,37012328,29447449,29447450,37012284,28513269,28513268,22327901,22327902,29679210,38244022,48152912,58647373,47255151,37345712,28807535,28807536,31351266,37345682,28807505,21540336,21540337,28807506,37345684,47255130,47255159,37345719,37345718,43166470,47255082,47255083,38244034,29679219,29679217,30637686,28807569,21540372,15524237,15524236,21540368,28807557,37345746,37659414,29109562,29109564,37659423,47565531,48931117,48931118,49162374,39905327,39905326,49162440,49162368,39235643,30637645,23214607,23214601,23214602,22619742,16435075,16435074,22619738,29987143,37012396,28513368,28513366,37012388,46891387,58258393,49969687,47917946,38002116,38002115,39042368,30452993,23044680,23044679,29482620,36767484,28272510,21069593,21069591,28272502,28381774,21164298,15207691,15207689,21164293,28381767,36878051,46756755,58125118,58125144,62961265,51285783,51285784,55258942,58647307,71382844,70974065,58258366,58258367,47254946,47254947,58647207,60562024,49162223,39235546,39235547,47254950,58647195,258692017,84957918,71382777,58647232,58647233,49162432,49162433,49824394,61304279,49824383,39803603,39803602,49162289,39235586,39235587,49162291,60562099,60562084,49162279,39235579,35214024,35214025,44594735,39235544,30637587,30637586,39235541,49162215,48963678,39042436,30453048,30453046,268964767,60358770,60562203,49162405,39235676,39235675,48469429,268923599,28807416,21540295,21540294,28807411,37345550,47254938,47255005,37345590,37345589,47255002,58647258,60359219,73097468,71669815,61304285,61304286,60562121,49162317,49162314,60562119,58258377,58258376,58647230,58647229,58125128,50106609,50106608,61586548,73428800,60681141,60562057,60562013,60562014,49162239,49162240,60562039,62834975,51184855,51184856,48080915,48080916,59471565,60562032,60562033,49162600,49162601,47254932,47254933,39235558,257015435,60562052,73305789,71382767,71382768,257642254,52078186,52078187,63896502,77007190,258251226,86916292,99515049,85568240,85568241,90885975,259497758,98890824,84965270,71390568,71390566,71554098,60562263,60562264,60329268,60329269,73070035,71981049,59243822,47847196,37927351,37927350,37927392,37927391,47847225,41764963,41764962,48358137,256411738,58655495,58655496,65738710,53682389,53682388,51285766,47847285,47847283,49969729,39953051,37927364,29360957,29360956,22030385,15929098,11052241,7327787,7327785,11052238,15929092,22030375,22030435,29361095,30418058,23013052,16773366,16773367,23013058,30418068,28815078,21546604,15529123,10740167,10740168 Dl.O(d2) = 49969771,39953114,31278183,23792417,17460730,17460733,23792425,31278191,36852569,36852568,39953046,39953047,31424600,31424601,40104404,31424547,23933985,17591219,12416919,8392555,8392557,12416928,17591240,23934024,31424594,37927337,29360939,29360938,34088684,26227496,26227495,34088668,31424616,31424615,31424637,36914999,28982961,28982964,37526928,43172007,43172006,49396130,50685448,47565361,37927147,37927146,47846984,267967024,37417528,28875970,28875971,37417534,37818470,29253204,23934008,23934010,21195138,15231433,15231429,21195123,28417178,36880701,28384192,21166269,16799124,16799122,23044974,29447475,254508402,11108918,11108916,255049804 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 424451, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14086841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6733643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6733643, s2 = 8433137, int(edited[s2]) = 0 s1 = 6733643, s2 = 8433137, d1 = 7, d2 = 5 Dl.O(d1) = 257834490,58802910,47415687,37507859,255291316,15643165,10825968,7155345,4506330,2707953,2707949,2708342,2708348,2708590,2708586,2263120,2263124,2263114,2263117,2263219,2263222,3778405,6039713,9016212,13224704,18606876 Dl.O(d2) = 8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772577,5818461,3629583,2167798,1254641,713576,713579,1254652,2167837,3629668,5818634,8916258,13084003,13842035,9494916,9494914,13842028,19353728,18311573,13085299,13085297,18422179,13543244,13109550,254312024,32645879,38174182,38174181,32297242,24686172,18219353,12922807,8791012,8791014,8917554,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011555,8777837,8917513,13013070,14022289,19574100,254673568,34164234,43254436,53770303,65830537,65830538,79192476,93323565,107751705,107751704,258470164,149383181,161676374,172836077,182737122,191391397,198839069,205146258,210370318,214640294,264400210,225798661,227680726,225770366,225770365,225770367,227680728,229355351,230840909,232169489,233368906,274713741,237928317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6733643, s2 = 8433137, dlinesl.size( ) = 2 s1 = 6733643, s2 = 8433137, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6733643, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8294244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8294244, s2 = 13321180, int(edited[s2]) = 0 s1 = 8294244, s2 = 13321180, d1 = 14, d2 = 4 Dl.O(d1) = 258707903,58876201,58876202,71596963,61540709 Dl.O(d2) = 40043078,31362869,23868593,17524327,17524326,23868592,31362870,37628877,30813077,23384211,17113353,17113354,23384213,21159754,15203688,10486769,10486770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8294244, s2 = 13321180, dlinesl.size( ) = 2 s1 = 8294244, s2 = 13321180, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8294244, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 9369453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9352039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6499687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9829185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9829185, s2 = 4810564, int(edited[s2]) = 0 s1 = 9829185, s2 = 4810564, d1 = 75, d2 = 21 Dl.O(d1) = 49137122,60537111,73281295,61267679,49788612,49788611,49788718,58048831,46674072,36788004,28291495,28291496,36788006,46674077,58048840,46749365,36870012,36870013,37701243,37701244,37701097,29140333,29140334,29140349,37701124,46674050,47624317,37701319,37701320,47624319,59027131,58048807,46674042,37701080,29140320,21832768,21832769,29140322,37701082,47624031,59026926,71769890,77611741,269304724,70767298,58048793,46674022,46674021,58048790,59026978,59026977,47624302,37701308,37701260,36788014,28291500,21084848,15145306,15145305,21084845,28291492,36788001,28373099,28373098,29140424,21832825,21832824,29140419,29140345,29140344,37701122,47624075,59026970,61540071,74316583,257651738,58048805,58048804,59027023,59027022,71769926,71769910 Dl.O(d2) = 197067035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9829185, s2 = 4810564, dlinesl.size( ) = 2 s1 = 9829185, s2 = 4810564, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9829185, Dl.E( ) = 92, 3.1e-05 seconds used appending s1 = 1093412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1093412, s2 = 8215387, int(edited[s2]) = 0 s1 = 1093412, s2 = 8215387, d1 = 16, d2 = 14 Dl.O(d1) = 28320707,21110388,15164403 Dl.O(d2) = 6005304,3755665,2249563,2249564,3756087,6005090,3758358,3754578,3754579,3303274,1943161,1110077,1110076,1455326,1455327,2525283,4223306,3302901,1942814,1942812,3302899,5372057,6005963,3756070,3756067,5372340,5372341,5372726,5872403,3754091,2249139,1304755,254299043,6005069,5372278,3303123,1943012,1109988,1109986,1943008,3303115,5372267,8324677,5372259,5372257,6515422,6529458,6730659,6529414,4091236,254472181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1093412, s2 = 8215387, dlinesl.size( ) = 8 s1 = 6646059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2370200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13397353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 783151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7980572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115633, s2 = 11657487, int(edited[s2]) = 0 s1 = 14115633, s2 = 11657487, d1 = 26, d2 = 25 Dl.O(d1) = 153547234,140872112,127516612,113644961,99631265,85682184,72095668,59362380,47971813,38059472,255917032,22157355,22157354,29496363,38059470,47971811,59362379 Dl.O(d2) = 48074969,38162140,29595608,29595607,38162139,256602094,44345196,41373257,258356275,64442911,257203079,257793434,6027046,3770571,2259220,1311282,1311283,2259223,3770557,2259213,1311279,1311280,2259216,3770562,6027034,9205929,13461851,18890322,19599453,14043671,9656388,6349713,6349714,9656391,255304457,26326303,34199099,37769609,37769608,29208040,21894561,21894562,29208041,37769615,30583369,30583370,23198998,16930000,11849051,11849052,10841739,7167276,7167274,10841734,15049471,20958471,28136464,36610191,40109701,31430008,31430009,31428663,31428662,40108599,37931088,37931087,47850993,59247582,60130359,61972469,74769867,258118786,259985554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115633, s2 = 11657487, dlinesl.size( ) = 14 s1 = 13588109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 655053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14066706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14066706, s2 = 11000110, int(edited[s2]) = 0 s1 = 14066706, s2 = 11000110, d1 = 2, d2 = 13 Dl.O(d1) = 107886093 Dl.O(d2) = 165015748,273282594,17966314,12731939,8651517,5627228,5627227,3624112,2164231,2164230,3549937,2114191,2114192,3549939,5704546,8761052,12881342,8761029,5704532,5704531,8761026,12881337,18163503,18023959,18023960,24439375,24612234,23383737,17113000,12025916,12025915,17112998,254884997,8700385,12796956,12775473,12775472,13164068,12774629,8683155,5650224,5650223,8683153,5810067,5810066,8903735,12881327,12774637,8683160,5650226,5650227,5704524,3549926,2114187,2114188,3549929,5704528,3549936,3549935,5704540,8761043,8782520,12910395,8855026,5771379,5771380,8855028,8855037,5771384,3595174,3595173,5771382,5848030,3649475,3649476,5848031,8959482,12778683,8686503,5652882,3514821,2090235 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1936575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9768811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13245935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352002, s2 = 15282366, int(edited[s2]) = 0 s1 = 10352002, s2 = 15282366, d1 = 0, d2 = 17 Dl.O(d1) = 10738728,255041671,7251101,4572527,4572528,254515323,10957686,7891606 Dl.O(d2) = 256997546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352002, s2 = 15282366, dlinesl.size( ) = 22 s1 = 9023307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13482377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14921111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14921111, s2 = 14854411, int(edited[s2]) = 0 s1 = 14921111, s2 = 14854411, d1 = 28, d2 = 12 Dl.O(d1) = 17009359,16261099,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17102790,17008101,17008103,22848065,16624124,16624125,22848070,29379194,30687922,23351839,23351837,28588261,30655399,23234182,23234184,22427792,22427794,22378080,16221807,16221809,17091269,16286860,16286861,22455250,17072650,17072651,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,7977428,11923324,17009384,17798765,17798763,23342764,23268381,21709070,15667141,10845859,10845860,15379934,15379935,21357176,15379837,10628125,7015116,7015118,10628131,11906746,11328832,11328831,16286571,12485717,12485718,17007797,17007795,15669746,11889579,11889578,11990580,8042754,8042753,8030687,8030688,11907525,11907524,16993189,21600548,23256540,17093049,16993356,16993357,16993163,11988575,8040154,5130519,5130521,5233963,5233964,8164020,12133840,16285384,16285383,16990885,11987471,11921245,7975521,5075347,5075349,5065746,3069857,3069858,5065748,3142184,3142185,5158727,8065177,12008183,12125295,8156553,5226703,5226702,8156550,11939472,7990710,5085984,5085985,7990715,11939481,17024538,21599077,15571341,15571340,254253702,8051170,7990820,5086041,5086042,7990823,254254432,18814201,25403891,23354787,17086969,11999556,10771639,10771642,10771551,7117062,4481047,4481048,7117067,7939390,5172106,5172107,5044095,5044094,5071667,5071666,7117256,10770656,12017845,12017844,15572174,11869371,11869369,7963928,7963925,5066401,5066402,7963938,7117491,5070511,5070512,7116517,4480708,4480705,7116507,7116532,10770834,15571549,21599267,22454417,28325958,23252031,23252032,30667527,254376698,14330977,14330978,9844733,6465863,254467777,4051208,6465849,9844711,14331000,20010347,18990309,13551145,268300109,37431990,28890250,28890249,255045392,33094883,25361477,18778873,255658459,23293968,23293969,30710449,33094967,25361553,25361552,23794176,23294133,17034535,11949115,11949114,17034530,23294128,25294445,18720228,18720227,25294441,30710260,39307984,49234741,49234721,49234720,60635473,72495624,59761367,48378483,38476371,29917448,22559188,17034481,11949085,11949086,17034483,23294063,26928873,22559110,22559111,29917325,30710312,23293868,23293869,29917305,29917304,32117460,29917468,29917469,30710305,39308020,47366216,257446698,28921389,21646058,21646057,21646158,28921525,37460964,31064983,23581140,17269147,17269146,23581135,31064973,23869138,23869137,29818365,24778758,24778759,31363535,40043724,39308102,39308103,31065070,31065069,39743050,46869744,47366359,37461006,28921562,28921561,29818370,35009106,29818376,255323446,16281548,22450764,22450775,22450774,26927648,32402162,31137734,24778761,20092275,20092273,26981023,32402188,39480528,30875565,23445723,23445724,30875568,32402476,31570447,30556566,24778571,24778573,255500345,11599772,7721756,4887579,4887580,7721746,11599756,16629493,22854998,21271993,21271992,28488030,36984841,46863388,58231418,70948739,61472809,61472810,269317810,73266510,73266518,73266517,86878564,269776376,84622922,71059398,58343186,46974027,37091072,28585301,28585300,37091071,46974025,46863502,36984967,28488136,28488137,21806598,21541246,15524908,15524909,21541247,28808653,37346975,39233914,38011224,256120635,25355590,33088151,32555059,24904669,24904670,31030690,23549582,23549584,18384483,13058561,8898363,5806516,5806515,8898356,7160214,4509663,4509661,7160189,10831528,7160040,7160044,7160161,7904845,7904844,5961213,5961214,9110711,13334188,14245565,9792766,6437822,6437819,9792758,14245547,19882140,26703251,34697772,269175655,37454736,47360793,47281269,255477640,21561684,15540521,254358684,4470804,2686132,1556024,1556028,1555991,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556471,11374293,16346556,16349205,14485084,14485082,16349514,11376959,11376958,7560976,7560977,11376168,15547204,16342846,15547828,15547827,21560771,15547573,10753077,7485429,7103027,7103026,7557363,7557364,4780425,2880767,2880766,4472453,7103675,7557586,7557587,11375239,16347630,22520805,22931655,16697011,16697012,22832350,22504176,16330099,11361276,7548177,7548178,11361280,16330105,15905701,15905702,12218680,8248919,8248922,9107851,5959535,3726945,3726944,4974955,7837402,11738738,11377668,11377669,16350326,22523339,22932314,16697586,11658226,11658227,16697587,22932317,30333157,23653548,17336515,17336516,23653550,29815133,22447284,16277715,16277712,17587923,21568541,21568527,15546287,10752088,7546895,4773045,4773043,7546883,11348989,16311808,16311842,16311840,22483501,16951141,13851441,13851443,19364919,22480568,16309385,16309387,22480572,29846636,37976877,46895565,37017031,37017030,29859562,29859563,38415109,38416560,29847395,22481603,16310239,16309038,15157708,10453443,267884742,21101959,22777806,16562550,16562549,22489031,22489032,22478102,22478103,22777019,22777016,22777015,30166141,23586089,22475499,22475496,23008623,29855433,22490495,22490496,22471157,22471158,29355966,36808956,28312135,21101780,21101779,22018332,23007965,16768597,11722365,254347826,17256860,17256864,22523977,16350905,11378040,7559176,7559175,11378038,16350903,22523975,29876368,22519389,16345944,16345943,22519387,29342886,22016334,22016336,29348040,29884500,38048851,29867970,22508383,17237792,16359720,11384879,7563708,7563704,11384873,16359710,16344535,16344530,15913943,14431680,14431679,16350852,22523921,17260087,17260088,23571184,29872301,29870525,22511202,22117812,16004618,16004619,22117814,22020117,15918649,11040590,7314855,7314854,11040586,15918642,22020109,29351580,33026305,39769976,31091723,23607994,17295490,254133642,7555417,4777674,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836976,11738128,16787677,23030318,254370232,31350859,254393726,38426474,29863045,22500670,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525028,9928353,14433295,20125065,16492681,16492680,17198221,12093603,12093602,17198217,12194719,8224917,8224916,254238640,5295299,8224912,12194704,17319561,23635392,31121588,35102195,31141593,23929829,17587994,17587992,17329586,17329585,23646489,26043984,21568505,254106374,7103580,4770166,4770167,7541315,11349325,11349329,16312347,22479134,22479135,26044490,26044487,22083129,22083126,17343676,17343674,22488596,16315792,11351499,11351498,16315786,11356303,11356304,13852302,17283377,17283376,22391695,16232460,16232459,16662519,11629146,11629147,16314560,16314561,11355533,7544713,7317080,7317077,11042538,7836775,4974550,4974551,7836778,11737856,11737925,16277712,17587923,21568541,21568527,21568524,28839965,22489094,16316221,11351750,7542668,4770885,4770888,7542675,11351767,16311690,11348926,11348925,16311684,16311727,21297363,16344573,16344574,11397314,7572880,7431418,4695972,2829403,2829405,4388659,4388663,6984417,7539419,11345721,10588329,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357410,22483405,21105216,15160261,15160161,11347817,7540544,6750193,6750191,10271766,14935563,20834147,27998363,30374986,29856918,29856919,31072732,39750392,37016639,28518142,22477414,22477413,22023746,15922750,15922748,254347930,254760908,254391538,35102286,32858766,32858765,254164338,19365413,21101037,21101036,28311156,33866058,254646738,48039174,48039175,48744017,40008797,31330598,23839068,18890461,18890462,25495320,28183375,21000511,15084688,15084356,15084354,15084694,15084376,10404322,6858380,4304133,4304132,6858378,10404320,15084371,15825108,21906071,28183127,21000270,255435143,10966554,15825096,15084481,10404387,10404388,15084485,21000245,15824895,10966406,7258713,4577807,4577805,7258709,10966399,15824884,12512537,8476687,5479314,5479313,8476684,12512529,17691272,17691257,15824929,10966425,7258720,7258719,254604214,10404570,10404569,15084770,21000619,28183478,36659966,37782994,37783034,29221367,28183153,28183152,36659668,29221312,21906027,15825065,15825066,21000300,21000299,28183167,31547127,31547231,255190482,29221288,21905999,21000431,21000430,21905815,21905841,255061989,7258718,7258717,10966419,15824917,21905822,29221100,29455683,22121661,16007927,16007928,22121664,29455677,28183247,28183249,26999969,26999968,29221200,29221198,37782872,36659960,28183473,28183474,24044155,17691939,17691938,24044152,31547607,40233598,50253150,50504795,47703684,37782850,29221176,29221177,31789329,24275976,24275975,31789324,36659984,28183489,21000625,21000626,28183493,36659992,37782881,37782728,29221022,29221025,29221114,21905830,21905828,29221110,37782800,37782784,31133939,31133938,31133979,31133978,23646248,17329382,17329381,23646243,31134009,39816599,46527400,36659950,36659791,28183298,21000429,21000428,21905836,29221123,33742093,40468993,31774096,24261821,24261818,31774088,40468983,47703622,254863980,41385960,41385961,47704075,46527403,36659954,36659953,29044238,29044236,32858952,32858953,39750253,47703708,38017831,38017829,46527238,37782795,31133957,23646213,17329364,12204377,8236235,8236236,12204379,17329372,23646229,31133991,39816566,49840130,61323410,74106486,87712655,101686433,115731195,260138144,153567256,141504686,133832914,133832912,127684048,127684047,135651783,133832908,119965460,113816541,261172843,148899694,141031683,127684039,113816547,99802977,85850995,72260022,72260023,85850997,99802980,113816549,127684043,141031679,135651773,135651774,148899692,141031678,127684053,113816557,113816556,101686422 Dl.O(d2) = 254533779,4749059,7512589,7512607,4749071,2862123,2862122,4749068,7512603,11314479,16271767,22439396,29168142,37728223,47650068,255862882,255139144,26635859,19823936,18404296,14200394,9761613,6418139,4026430,2412810,1396560,1396561,2412812,4026434,6418146,9761623,14200337,19824038,14200326,14200324,19824013,19824014,19824151,26636056,28934350,21656587,15621461,10808486,7141977,7141978,10808489,15621465,19824124,255728061,256651587,26635991,19824110,19824109,26636009,34625703,256900406,66898385,54641035,43897856,43897855,43897854,54641012,43897836,34625697,268215914,25555102,18942085,13505728,13505729,18942088,25555107,255864696,255864666,26635767,26635768,256723739,54640745,66898162,54640993,43897820,34625685,34625684,43897818,52684322,43897827,43897826,54641005,66898462,64584879,64584878,269328838,66898477,66898476,80326127,85071702,85071701,85071698,71499647,71499646,85071696,258090512,256900396,255864672,66898158,54640742,54640741,54640986,43897814,43897815,54640987,54641074,54641073,66898526,71499645,71499655,71499654,66898466,64584900,64584901,77767851,77767852,91695397,105902768,99307224,99307223,91394917,77467811,77467812,85362320,71772625,59030053,47627808,37705580,37705579,47627806,59030049,71772621,71772432,59029825,47627528,47627529,59029827,71772435,71772351,59029751,47627473,267886542,59029747,267765342,37705196,37705227,254342210,59029803,59029861,59029860,59029854,59029853,64313588,64313587,255864650,71772327,71772488,59029891,59029890,71772486,71772342,59029743,47627464,37705250,29145142,29145143,37705251,47627551,59029865,71772466,85362196,85362173,71772438,71772348,71772347,85362101,71772535,59029944,47627627,47627628,59029946,59029797,59029796,71772403,71772462,59029859,47627547,37705248,268625064,15767908,10920297,10920298,15767911,21837450,29145152,37705267,47627577,59029901,59029681,59029682,47627500,37705217,37705218,47627502,257480300,47627480,37705203,37705204,47627482,37705214,29145124,21837431,21837430,29145121,37705207,47627487,59029768,258090478,71772508,71772509,71772379,256900394,256358624,255429696,133744252,119874081,119874080,127170571,119874079,119874077,133744250,255429732,127170708,140517513,147075078,133830348,119962832,119962835,126104613,126104611,116032290,101985419,88009985,88009984,101985416,116032289,101985422,88009989,74404733,61626150,50144345,50144344,61626148,71772695,85362382,98268955,98268956,98268958,98268959,84360529,70801971,58085130,46713382,36830846,28334462,28334461,256297924,58085120,70801953,84360498,98268930,112248599,98880888,98880887,85362383,74404716,74404717,74404727,61626144,50144341,40123265,31443891,31443890,40123262,50144335,61626133,74404706,84355474,84355473,98262637,112240279,116032284,112248601,98268931,98268932,112248602,112248625,98268949,84360519,70801963,58085126,46713380,46713379,58085124,70801961,84360511,98268944,112248621,116032256,101985405,88009968,88009967,101985404,116032279,126094959,256358696,98268890,98268889,98268868,84360430,84360431,84355431,70797212,60081008,58080570,46709134,36830853,28334472,21122647,21122648,28334474,36830857,28334469,28334470,36830859,36826822,28330797,28330796,36826820,46709104,58080530,46709151,36826850,36826851,46709154,257674613,74627685,88257966,102256217,112240326,98262703,258426482,61835459,61835458,74627673,88257955,102256213,116350729,112240269,98262624,98262623,112240267,99753891,99753890,98262686,88257967,88257959,74627677,61835465,50351271,40324438,31635180,31635181,40324435,257091545,59468157,72205845,270839923,88257951,74627670,61835457,50351267,46709091,46709089,58080510,48077469,38164649,38164650,256240092,38164660,29597997,22248813,16111100,11190889,7425243,4692100,4692099,7425241,255082307,22248796,29597974,38164556,48077384,39858038,31175463,31175464,39858040,31175471,31175472,39858051,49880997,49881001,49881000,61362525,59468132,59468133,61362523,59468103,48077389,38164559,38164558,38164617,38164551,29597957,22248789,16111088,11190883,268922584,16111078,16111077,22248771,29597932,37309152,39858033,48077394,268321380,43365796,37309160,28775411,28775412,254319244,48077371,50146539,40125309,40125308,49880983,40261035,267949504,31574037,255762418,40261059,31574057,31574058,24068578,17712654,12529693,8490917,5491647,3382121,1991621,1138084,1138083,1991619,254410685,8490906,12529674,9199834,6023329,3768224,3768225,6023332,9199838,255263029,25479596,33228134,25680944,19058205,19058206,254550522,10669066,9915067,9915069,9215955,9215954,9916151,9916152,254646292,20107333,26997934,28701167,25478592,18876867,18876868,255283646,15874885,12815324,8713243,6292293,3941121,254298924,9585964,13961608,19505951,21395020,255229868,11002053,15873202,15875608,13451995,12796058,11005105,7285196,4594248,4594249,7285198,11005110,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367758,5978808,5978810,9136528,11003343,254434824,21968236,267925816,47788771,255703288,32464060,41308835,32686484,32680610,32680611,41566667,255703286,256058234,3705029,3705028,254425274,254883154,32959501,41897371,52232954,256566994,41897560,255211650,254622052,9061951,5925254,5925255,9061953,13277352,18669132,25238583,32959633,31981247,24427451,24427454,31980763,24427050,24427049,31980759,32960339,32960336,41898491,32960325,32960324,41898487,41174835,41174836,50832540,40728446,40728430,40728429,50832532,52233140,255211606,64078809,75312065,62414090,62414089,75312059,62414376,62414369,62414370,75311866,62413876,50831989,40727935,31980846,31980845,40727929,50831982,50832199,41897537,41897538,41897520,41897519,52233174,64078838,77221439,89040082,75312031,64078860,52233186,41897523,41897525,52233194,50831286,50831284,50832076,62413814,62413813,75311803,62414127,50832237,50832238,50832132,50832133,40728113,40728112,50832229,62414123,64078796,64078797,75311919,89039984,89039962,75311901,62413918,50832027,50832026,62413915,62413883,50831994,40727942,31980849,24427122,24427123,31980856,40727948,50832005,52233196,52233197,64078844,75311949,75311950,89040018,103110672,89040093,75312036,75312037,64078853,52233181,52233182,62413957,50832085,40728009,40728008,50832082,62413953,75310888,75310889,62414022,50832139,40728033,40728034,50832143,50832222,62414115,75312075,77221409,77221410,89039929,89039930,103110631,89039955,75311896,75311897,75311869,75311871,75310886,62413084,50831290,40727921,31980842,31980843,40727922,50831975,62413864,62413907,62413909,75311892,75311943,75311945,89040015,89039967,89039968,89040088,89040089,77221450,64078848,62413970,50832098,40728015,31980889,31980891,40728020,50832107,62413088,62413089,62414000,50832121,40728029,40728031,50832127,62414012,75311993,89040055,91136230,89039937,75311855,75311856,89039941,103110641,89040111,89040112,103110650,103108790,89038572,75310880,62413079,50831971,40727915,40727914,50831965,62413857,75311845,89039920,103110618,103110658,103110657,103110712,103110716,117224576,103108800,89038580,89038581,91136276,77221445,75311939,62413966,50832090,50832089,50832102,50832101,62413977,62413094,62413093,75310896,75311979,75311974,62414004,62414003,75311987,89040050,103110760,105353906,103110635,103110636,103110646,117224523,117224524,117226824,117226816,117226817,117224559,103108785,89038566,89038562,75311829,62413849,62413847,62413853,75311837,89039914,103110613,117226799,131024951,117226840,117226841,117226762,117226761,117224570,103108792,103108793,105353944,91136269,89040008,75311934,75311850,75311851,62413975,62413974,75311960,89038585,103108807,89040031,89040032,103110738,103110754,89040044,89040041,103110748,117226881,119584716,117226814,117224537,103108754,103108748,103108747,112969473,126823436,126823473,131022500,117224555,117224551,103108779,89039901,75311821,75311820,75311833,89039911,103110606,117226789,117226904,103110782,103110779,117226896,119585683,119585682,119585686,119585685,131022505,131022510,117226837,103110705,89040000,89039925,89039924,75311954,75311955,89040023,103110728,117226853,117226856,105353916,91136237,91136236,103110743,103110744,117226874,131024991,133449358,131024960,131022478,117224532,112969477,98980156,98980158,112969481,112969511,126823478,131022496,131022488,117224548,103110591,89039895,89039894,89039906,103110601,117226781,126823381,126823380,119585704,105354771,91136872,77221920,77221919,91136867,105354765,105354793,105354794,105354786,105354785,117226809,103110625,103110626,103110697,98980204,85055052,259325201,112969498,98980183,85055041,85055042,98980189,98982266,98980174,85055037,71483607,71483606,85055032,98980171,112969490,112969616,112969615,126823609,140173234,126826257,126823355,112969405,98980087,85054996,71483582,71483546,58754919,58754920,58754936,71483558,85054968,91136886,98980336,98980339,112969631,112971625,112971626,98982304,98980305,98980304,98979859,98979860,98980201,85055055,85055057,98980210,85056973,85056972,71485397,71485399,85056993,98982296,98982277,85056982,71485390,58756425,58756426,71483620,58754965,58754963,71483613,71486097,71486098,85055157,85055156,98980319,112969620,126823223,112969408,98980095,85054960,71483552,58754931,47369153,37463898,37463899,47369158,58754943,71483567,71483726,71483725,85055173,98979886,112969253,98980460,85055342,71483904,58755193,47369344,47369343,58755191,71483899,58756432,47370325,37464794,37464793,47370322,58756429,58754756,58754757,47370258,47370256,58754723,58754753,47369029,257464243,58755197,58755204,71483907,58755226,47369382,47369383,58755237,71483940,85054626,71483242,58754646,58754645,71483238,71483735,58755049,47369227,37463947,28924330,21648568,21648567,28924327,255046562,21648814,255850400,7139251,4495107,4495111,7139262,10804440,15615137,10803935,10803931,7138917,7138916,10803962,15615179,21648449,21648733,15615445,10804200,10804162,7139057,4494938,4494939,7139062,10804170,15615412,15615068,15615052,10803839,10803840,15615056,15615416,15615417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14921111, s2 = 14854411, dlinesl.size( ) = 2 s1 = 14921111, s2 = 14854411, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14921111, Dl.E( ) = 30, 2.79e-05 seconds used appending s1 = 11170260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9808779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8267573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13425035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9823267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13524653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13524653, s2 = 10332794, int(edited[s2]) = 0 s1 = 13524653, s2 = 10332794, d1 = 22, d2 = 24 Dl.O(d1) = 114901404,100850661,258846338,114743625,259034940,257792686,48976213,39054409,30464642,23056263,16809584,11754582,7848389,7848390,11754584,16809589,23056267,30464648,39054418,257582675,73111917,259034948,259034934,86717611,258132562,60509653,73256580,86869351,86717644,86717637,73111845,258407914,60372512,60372511,48976375,48976376,60372027,48975998,39054434,39054433,48976242,257792690,60372517,73111943,73111942,86717716,100693527,100693526,114743414,100693523,86717268,86717269,86717732,73111957,60372384,60372385,73111959,86717724,73111949,60372379,48976245,48976247,60372381,73111952,77583305,77583306,77583315,64414514,64414515,64414523,64414522,77583327,73112152,60372544,48976372,48976370,60372536,258813591,100694099,114743774,105736220,91512407,77581454,77581455,91512409,105736222,119971076,128644645,114901183,100850405,86869301,73256536,73256533,259447601,86717683,73111905,73111904,73112120,60372521,48976360,39054518,30464700,23056299,23056300,256458195,48976362,60372525,73112131,60372549,60372550,73112155,86717953,86717925,73112141,73112142,86717928,100694097,114743772,114743784,100694126,86717970,86717968,86717917,73112134,73112135,73112168,73112170,86717963,91514961,77583814,64414971,64414970,77583811,91514954,100694079,100694080,259661932,100693866,114743613,260278564,100694122,86717960,86717959,86160461,72562194,72562195,270851261,260278563,259034938,86717634,74637948,61845601,50361365,48975957,39054239,39054238,48975954 Dl.O(d2) = 39008009,47908776,37992600,29430442,22098855,22098857,29430360,29430359,29430773,29430473,29430472,37992650,47908825,37992793,37992794,40492093,37992900,31582267,29470752,22134862,22134863,256383433,47908663,256383436,29430768,22099106,22099031,15989800,11100147,7361306,4649869,4649868,7361270,7361279,7361291,11100085,11100084,15989685,21360225,15989820,15989819,21129446,22098861,22098862,29430455,37992508,37099171,37099172,28592157,28592158,29430272,22098760,22098761,29430298,30258212,30258214,38033305,29470520,22134697,16018770,11122187,7377111,7377110,11122179,16018753,22134676,29470486,30258183,29470267,22134541,22134540,29470262,29430800,22099126,15989855,11100180,7361326,4649881,2800868,1624722,1624719,2800860,4649864,7361299,11100135,15989779,22099002,22099069,22099068,29430248,29430343,22098791,15989652,15989651,22098789,23810288,21360236,21360234,28592159,26422678,26422679,255792018,22098978,15989768,15989770,22098987,28722830,21466610,15465591,10693923,7064982,7064980,10693917,15465580,21466587,28722793,29405461,22074791,17902491,17902490,24283249,29430778,22099114,17720099,12536437,12536436,17720096,17433467,12287770,10693931,10693932,15465601,11971720,8015998,5104409,254566893,11971706,268946476,4665199,267889721,20850423,14950122,10284305,254481219,4236057,6759769,10284306,10324497,10313560,6784120,4252858,4252857,6784118,255001471,11534110,7673413,4855433,2926009,2926010,4855434,7673415,11534112,9089725,9089724,10286352,9060635,9060636,10286356,14952411,15056437,15025812,14963596,10295976,10295977,10350911,14966266,13272741,9057641,5921874,5921878,254640839,3703964,2218412,2218413,3703968,5923504,4928416,2972725,2972726,4928420,4234872,2531975,2531976,4234877,6758057,4257387,4257385,6790579,4260097,2546787,1467185,834132,834131,1475150,1467608,1467609,2547562,4261225,6795934,9057553,10294196,6822570,4280041,4280040,6821512,4852283,4852280,6747262,4248459,2539944,1463444,1463443,2539912,2539914,4235238,2532165,1459176,1459174,2532156,4235220,4261713,2547813,1467729,1467730,2547821,4261733,2547834,2547833,2547842,1467737,1467738,2547849,4261785,4242458,3702422,2217582,2217584,2225745,2225743,3465366,3465364,5585599,5947816,5942244,5942248,5587221,5587223,3467396,3466894,2566857,1477976,1477978,2566865,4293359,5210759,5210758,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596775,835958,835957,1478829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13524653, s2 = 10332794, dlinesl.size( ) = 14 s1 = 16286239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8030496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8030496, s2 = 8006969, int(edited[s2]) = 0 s1 = 8030496, s2 = 8006969, d1 = 35, d2 = 0 Dl.O(d1) = 145610915,153567460,140893165,127537824,268420030,2814090,2814092,3386604,5496759,8495502,12533933,267892802,22847046,20120395,14429263,9925514,6523323,6523324,9925525,14429288,19784608,25488942,25488941,24245146,18879683,13454085,13454002,9200729,6023900,6023898,9200723,9200763,255263209,17717452,24073947,31579537,27012649,27012648,23824602,17487569,17487568,18879711,18879710,25482089,18885091,13458168,9203344,6025430,3769437,2258450,1310817,748364,425339,425337,748345,1310768,2258362,3769275,6025112,9202793,254809026,17376101,12244159,12244161,17376106,23698228,31188037,31477136,40161725,34100224,26237092,19520095,13973129,13973130,19520099,26237098,32031254,24468977,24468976,32031244,34276429,38526802,38526801,32189929,30600972,23182385,23182384,19271425,13775058,13775061,19271436,25933893,33741285,42771986,49046194,255709884,60449952,60449951,60526329,60526330,72389727,72389726,60526286,49125346,49125347,53679363,50280047,40259132,31571709,31571707,40259121,48242395,39117040,30519535,23102986,16845933,16845932,16845947 Dl.O(d2) = 8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772577,5818461,3629583,2167798,1254641,713576,713579,1254652,2167837,3629668,5818634,8916258,13084005,10254512,6738175,6738173,8967017,5853795,5853799,8967034,13155703,18246193,13840167,13155762,254309132,13595158,254212144,19044871,254311968,18420749,24932285,18900784,18900783,254671666,24931544,268159102,254678584,254464064,6203850,6203849,9461645,13797773,13083730,8915812,8915813,13083736,18420194,19681288,25964550,25956192,19291885,13792794,9457828,9457827,13083955,13083958,18420507,24059737,17704916,12523384,8485271,8485272,12523389,17704926,19298339,19298341,25964278,26411813,32353072,33389127,26349598,19620388,14061006,9670419,6360437,6360436,9670414,14060992,19620365,24974425,24932719,18421155,18421154,24932714,19298300,13797762,9461638,9461637,13797759,9702678,6381759,6381758,9702672,14105821,19676523,26411699,33774263,26417588,19681110,19681109,19681128,14109500,14109499,19681123,14109631,14109630,19681294,17704889,12523370,12523371,17704894,24059699,24728853,25964272,25623448,19008856,19008855,25623442,32597155,26349570,19620380,14061000,14060988,14060985,19620359,26349553,24059677,24059676,26417763,24932709,24932710,32594385,25964239,19298294,19298293,25964234,19676500,14105807,9702664,9702665,14105812,19676513,26411688,31565291,24059706,24059704,26417629,19681144,14109508,9705679,6384133,6384130,9705670,9705783,14109640,19681312,24059688,31565273,40252687,43393852,52776698,42377790,33389116,25623434,25623435,32597164,24935163,24935162,26349579,19620369,19620370,26349546,26349547,31565261,24059682,24059683,19681259,14109606,9705764,9705762,14109602,19681253,26417758,33773894,34286968,34286990,26411672,19676504,19676505,26411676,19676572,19676573,26411759,34287066,43386127,34293868,26417611,19681131,19681130,26417605,34293864,40252697,40252698,39497771,39497772,40252679,50274018,49429057,49429058,52776694,42377785,39497758,39497761,41474207,32597153,32597152,34223689,34223690,43321680,43393708,43321650,43321651,34293987,34287111,26417741,19681243,14109597,14109598,19681249,26417751,34294005,42806166,41471325,32594363,32594365,26411670,26411667,34286975,26411750,26411751,34287061,43386117,43386123,39117465,30519855,30519856,39117469,49047145,50274055,40252734,39497782,30890434,30890433,39497766,39497765,39497734,30890415,30890414,39497730,49429052,52776700,51742927,41474200,41474199,47855364,49047115,53846025,53918998,43393822,34293989,26417730,26417731,34293980,26417723,19681233,19681234,26417727,34292606,39117434,39117436,49047104,43392388,43386042,41471341,32594376,32594375,34287055,34287054,43386111,53910330,53910338,49125313,39197785,39197786,49125318,42893621,33849055,33849056,42893625,49429106,49429107,49429101,49429102,53846021,49429071,49429048,49429049,53910335,53910334,53918980,53918981,59251755,49047120,49047119,59655473,48268866,38358479,29786882,29786883,38358484,43393811,34293970,26417717,26417718,34293972,43393814,49047095,49047096,60450292,53917380,53917379,53917385,51740079,51740078,43386107,43386106,53910319,47246854,47246855,48808044,47991174,47991173,59381205,49046757,42893617,42893615,53359275,60831208,60831207,73580863,71988794,65983542,53915972,43391393,43391391,53915968,53697898,53697899,53918984,58639780,58639781,60450300,72389689,59655467,48268860,48268861,48268872,43178738,43178740,43391333,39116889,30519447,30519446,39116883,49046500,60449922,60449923,60526132,53697623,43185757,43185758,39117908,39117909,48242255,41226364,32402261,32402260,25818071,25818070,33618198,42645263,49046561,39116932,30519468,23102946,16845914,16845912,23102941,30519460,39116918,32350756,32350757,41165711,51350796,42430541,42430543,40978567,40978570,49045974,49045975,39117887,30520267,30520264,39117874,49046958,48684099,38762406,30179173,22790269,16574328,16574329,22790274,30179181,30601021,23182409,16917284,11839575,11839576,16917289,23182430,22399541,22399542,29761411,38331917,42806173,33773905,33773906,29761475,29761474,38332012,39116494,30519149,30519148,39116489,49046094,39116906,39116905,42645257,41226428,41226424,49113398,39184138,39184137,49045927,49045928,59655523,60526294,49125349,49125347,53679363,50280047,40259132,31571709,31571707,40259121,48242395,39117040,39117041,39117028,39117013,39117012,39117023,39117092,39197558,30601039,23182417,23182415,30601034,39197548,47855373,38358468,29786874,22422131,22422132,23103765,23103766,30520609,34095993,34100260,34100261,37112783,41226410,38358519,30518721,30518722,38358487,39115905,30520643,23103785,23103786,28009102,20844290,20844291,28009107,36468020,46320960,39115892,30518655,30518656,39115895,48242308,38331956,38331953,38332044,34291782,26415700,19679552,14108186,14108188,19679556,26415714,24778473,18298118,12988303,12988304,18298120,24778480,32402319,39115963,30518704,23102409,19509892,19509891,26224623,26233707,26233709,34096007,29786909,22422160,16256610,11302390,11302387,16256603,22422146,23182443,23182444,24610107,18161370,18161372,24610113,26236962,26236965,26236949,26236950,23102390,16845593,16845594,23102396,30518675,39115920,39117482,30519878,30519877,30518906,26415688,19679545,19679543,26415679,34291767,32402304,32402305,41226439,51423556,41226445,41226446,51423567,43185562,34100089,30518697,30518696,32592677,26233533,26233532,34095810,26237280,26237279,34100523,26237365,26237364,26237486,19520333,19520155,16845645,16845644,16845716,16845715,23102598,30518995,34100473,43185977,40978593,40978592,43392401,43392403,39116767,39116769,30519626,23103050,23103051,30519632,30601333,23182611,23182609,28036435,28036436,23102539,20868351,14966187,14966186,20868345,28036380,36499563,43185842,34100366,26237173,19520133,19520134,26237177,34100376,37337039,28799232,28799231,30071336,38647144,48562639,53697348,43185431,34291693,26415626,24550998,24550999,22901316,22901315,23102675,30519098,37862507,43185980,53697796,49047780,49047781,53698124,53917397,53697822,49046370,49046371,44730259,35310809,35310811,43186004,43186005,36499639,28036444,20868388,14966208,10298559,6771316,6771313,10298551,14966197,20868371,28036423,36499616,34132154,28799310,21533274,15518977,10733001,10733003,15518986,21533284,27011047,20119162,254976567,6522998,6522996,254976565,16746237,15991951,11101623,7362239,4650405,4650404,7362238,11101621,7362263,4650416,2801169,2801171,4650421,7362270,7420738,4689385,2825614,254352281,268084379,19113923,13646384,9344449,254451653,3829433,6120601,9344450,13646385,255684269,33540770,42557172,52997140,64972050,58413137,58413135,71132604,258052055,50310239,40288927,256423198,17743683,12554731,8512124,8512126,8624381,5607493,3482235 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8141667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9832945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2259201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7982668, s2 = 6944236, int(edited[s2]) = 0 s1 = 7982668, s2 = 6944236, d1 = 33, d2 = 50 Dl.O(d1) = 254820579,3093432,1807486,1032372,1032373,581964,581966,1032606,1807928,3094244,3094253,5097839,8005856,8005855,7035661,4426615,4426613,5097929,8008040,11812562,8005531,8005533,11958835,11958613,8005446,8005448,11958716,11958820,11958819,11962875,11962877,11958620,8005387,5096395,3093430,1807484,1032370,1032369,1807481,3093423,5096378,8005350,11958580,11958694,254566011,3093453,254176777,1032381,1807497,3093456,254176779,1032382,1807500,3093459,5096439,254820585,8005426,8005425,5097887 Dl.O(d2) = 260465499,111628876,259786042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7982668, s2 = 6944236, dlinesl.size( ) = 12 s1 = 7619298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2491393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7889813, s2 = 12582897, int(edited[s2]) = 0 s1 = 7889813, s2 = 12582897, d1 = 1, d2 = 1 Dl.O(d1) = 3823114,2290540,2290539,3823106,3826637,2292553,2292552,3826631,6115987,9337236,8891415,5800167,3617434,3617435,3826619,267862975,9307256,6096731,6096732,9307258,13592667,13649573,19044479,13635832,13635833,13580160,13571837,9292255,6087190,3808816,3808817,6087193,9292256,9296341,8891408,8891406,9350939,9279667,9279666,6112118,3824351,3824352,6112119,9330971,254111516,5800466,3617704,2160348,2160345,1282843,1282839,1282864,1282860,1282612,1282609,1285073,1285070,2214358,3616606,2159728,1249810,710538,710536,1249805,2159702,3616559,5798743,8889686,254879560,268209053,7077729,4455896,4455899,5746424,3775025,2709208,2709213,2263066,1313024,1313022,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263126,2263130,2263031,2263035,3778096,6039201,8814487,8814490,6031065,6031067,254923939,255667755,33272570,42252041,37203436,28680141,21431172,15437668,10672492,7048984,4436655,4436654,7048979,10672486,9336321,6115439,3826298,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,255686192,43019906,43061940,47099704,42586558,33569534,25779381,25779359,19138135,19138134,24578818,32164029,40943009,33569394,33569395,37762734,37762733,31076148,23592753,17280663,17280662,23592750,31076142,39753788,46795133,36917355,36917356,42506463,33569444,25779297,25779268,19138077,13665601,268150709,19138113,25779323,33569476,40942978,32164006,32164007,40942979,42586528,42586485,33569481,33569482,42586400,42586398,53026169,53026246,53026245,42586530,33569515,33569514,42586529,51085596,257226236,40943005,40943004,42586519,49772350,49772349,53026148,64840259,64840258,53541023,53541022,65000790,53026073,42586288,33569294,33569293,42586284,53026069,42586394,33569403,33569369,33569371,34003939,26162261,19462126,13927994,13927996,19462135,26162272,34003957,40943000,49772330,61250963,270138085,257865938,35131330,35131331,269193567,65565648,65565649,78900538,78273855,65000855,53026152,42586386,33569398,33569399,42586391,53026158,49772339,49772338,61250979,65000783,65000784,258433435,64976754,65000815,53026120,53026121,65000818,65000868,65000867,65000781,65000780,67694007,55354246,44507962,35131326,35131327,44507965,55354249,257887822,65565643,259056037,100587413,92985413,92985412,80350617,80350616,81159583,81159582,78037306,78037305,91964419,85070762,71498704,71498705,85070766,81159598,78873803,78873802,81159593,67694030,67694029,74675680,88301028,93010309,93010308,85638730,72051146,59316323,47923204,47923203,59316317,67694033,78037253,73077459,257260468,86800792,85070772,85070773,98996371,99588892,257289546,60441652,58128192,58128193,61883508,74675674,86800842,73188642,73188641,74030928,74030929,87634436,101601278,98697784,84769365,84769364,85638771,72051187,59316354,59316355,72051189,60441646,60441647,73188588,86800805,86800860,80350466,66924228,66924227,66924230,66924231,80350467,66924428,60479879,60479880,73188583,60441582,49037602,39107766,39107765,30510763,30510762,39107790,39753798,49772354,61250990,70842648,84399981,256725814,60441637,70842663,58128204,46759815,36881043,36881042,46759811,58128197,70842653,66924408,66924407,73188655,60441640,60441639,257289542,61883510,50393695,50393696,61883513,74675686,86299306,86299388,72702233,66924380,54667908,54667907,60337254,60337255,73077454,80350482,66924247,54667784,54667785,58128183,46759807,39107780,30510758,30510757,39107773,46759818,46759820,58128209,51004111,51004110,62626857,72702045,72702046,86299277,86800823,86299230,72701950,59964469,59964473,61695874,50214085,40191982,40191980,47099857,58478267,71200247,72702109,72702110,73188602,73188601,86800813,83953109,83953102,70426590,70426588,70426611,58128187,58128188,70842644,75663098,71200224,71200225,84769390,86299273,72702037,59964579,59964580,59316335,47923212,47923211,59316331,60441619,60441616,60441614,72702009,62626867,51004120,48572546,48572544,48572579,59964586,72702051,78547086,92594633,86299223,72701946,62716941,51085621,51085620,61695870,58478260,58478259,71200234,75565606,73188610,60441600,49037609,49037610,60441606,70426598,57732078,46381998,46382000,57732082,62716951,60441624,60441622,62716956,62716957,75663100,89323473,86299267,72702029,59964573,59964575,72051158,65256697,57732066,57732067,70426578,72702013,59964548,59964542,59964543,48572550,38656774,38656773,38656777,48572559,59964588,65256789,78547081,72702060,72702061,86299285,258506920,72702072,78547015,78547013,257887808,86800809,83953120,257599428,51085652,257716071,75663111,65256679,53266952,42814016,33781463,25971151,25971153,33781467,42814020,42814044,42814043,53267008,48572540,38656765,30079794,22698448,16495479,16495480,22698449,30079799,38656784,48572570,42814064,42814066,40209169,40209168,50230042,48572675,48572593,38656796,38656795,48572589,40869203,40869201,51004129,62626882,65565863,59964630,53267063,53267062,42897750,40943051,32164091,24578872,24578871,32164086,40943042,48572573,48572574,59964601,53266971,42814029,33781472,33781474,42814031,53266980,62846816,62846817,59964747,48572692,38656848,30079838,22698469,16495496,11492897,11492896,16495487,22698457,30079817,38656821,48572637,59964678,59964673,59964676,65256764,65256765,72702102,59964640,59964641,59964690,72702154,78547068,78547064,65256757,65256756,75663116,89426632,90619882,76753643,63661196,51865580,41575341,32679738,32679737,41575334,51865571,63661176,74189855,72702163,59964789,59964791,48572755,48572756,59964809,70985715,84548756,97690221,83832499,83832500,97690222,85438367,85438366,99379270,88104467,74492463,74492462,88104465,77236951,64092731,64092730,52245482,52245481,64092821,77237065,84742129,84742122,84742121,74492434,61710208,61710209,58450413,58450414,71172698,58450402,58450404,71172676,71172686,84742167,98670878,97510402,97510403,84742143,71172634,71172633,84742138,74492467,61710227,61710229,74492473,88104480,84769083,71199900,58477942,58477940,71199898,66897784,66897785,80325610,80325602,80325600,84664051,74203013,66897657,66897656,71172671,64092737,52245427,46745752,46745753,58115194,58115672,70830577,58450356,58450355,71172628,58450422,47073278,37179548,28660174,21415568,21415567,28660166,37179537,47073266,58450398,71172694,84742172,83627516,83627515,71172645,58450363,58450362,54640268,54640269,66897752,80325577,80325589,80325590,74203021,61424347,61424346,74203019,66897792,54640310,54640309,66897788,66897807,66897808,80325505,66897658,54640191,43897145,43897146,54640196,66897667,80325521,66897723,66897724,64840915,52916076,52916075,52916072,52916071,54640287,54640288,47073270,37179544,37179543,37179533,37179532,47073252,58450381,71172666,70830164,61695742,61695744,74478149,74203007,71172642,66897756,54640273,54640275,66897763,73381669,60635632,60635623,60635622,66897835,66897833,66897800,54640315,43897221,34625200,34625202,43897227,54640323,66897813,54640365,54640366,66897859,66897663,66897662,71853351,66897727,54640248,52245385,41908391,41908392,33507618,25729114,19823755,19823754,19823767,19823766,26635606 Dl.O(d2) = 3823114,2290540,2290539,3823106,3826637,2292553,2292552,3826631,6115987,9337236,8891415,5800167,3617434,3617435,3826619,267862975,9307256,6096731,6096732,9307258,13592667,13649573,19044479,13635832,13635833,13580160,13571837,9292255,6087190,3808816,3808817,6087193,9292256,9296341,8891408,8891406,9350939,9279667,9279666,6112118,3824351,3824352,6112119,9330971,254111516,5800466,3617704,2160348,2160345,1282843,1282839,1282864,1282860,1282612,1282609,1285073,1285070,2214358,3616606,2159728,1249810,710538,710536,1249805,2159702,3616559,5798743,8889686,254879560,268209053,7077729,4455896,4455899,5746424,3775025,2709208,2709213,2263066,1313024,1313022,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263126,2263130,2263031,2263035,3778096,6039201,8814487,8814490,6031065,6031067,254923939,255667755,33272570,42252041,37203436,28680141,21431172,15437668,10672492,7048984,4436655,4436654,7048979,10672486,9336321,6115439,3826298,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,255686192,43019906,43061940,47099704,42586558,33569534,25779381,25779359,19138135,19138134,24578818,32164029,40943009,33569394,33569395,37762734,37762733,31076148,23592753,17280663,17280662,23592750,31076142,39753788,46795133,36917355,36917356,42506463,33569444,25779297,25779268,19138077,13665601,268150709,19138113,25779323,33569476,40942978,32164006,32164007,40942979,42586528,42586485,33569481,33569482,42586400,42586398,53026169,53026246,53026245,42586530,33569515,33569514,42586529,51085596,257226236,40943005,40943004,42586519,49772350,49772349,53026148,64840259,64840258,53541023,53541022,65000790,53026073,42586288,33569294,33569293,42586284,53026069,42586394,33569403,33569369,33569371,34003939,26162261,19462126,13927994,13927996,19462135,26162272,34003957,40943000,49772330,61250963,270138085,257865938,35131330,35131331,269193567,65565648,65565649,78900538,78273855,65000855,53026152,42586386,33569398,33569399,42586391,53026158,49772339,49772338,61250979,65000783,65000784,258433435,64976754,65000815,53026120,53026121,65000818,65000868,65000867,65000781,65000780,67694007,55354246,44507962,35131326,35131327,44507965,55354249,257887822,65565643,259056037,100587413,92985413,92985412,80350617,80350616,81159583,81159582,78037306,78037305,91964419,85070762,71498704,71498705,85070766,81159598,78873803,78873802,81159593,67694030,67694029,74675680,88301028,93010309,93010308,85638730,72051146,59316323,47923204,47923203,59316317,67694033,78037253,73077459,257260468,86800792,85070772,85070773,98996371,99588892,257289546,60441652,58128192,58128193,61883508,74675674,86800842,73188642,73188641,74030928,74030929,87634436,101601278,98697784,84769365,84769364,85638771,72051187,59316354,59316355,72051189,60441646,60441647,73188588,86800805,86800860,80350466,66924228,66924227,66924230,66924231,80350467,66924428,60479879,60479880,73188583,60441582,49037602,39107766,39107765,30510763,30510762,39107790,39753798,49772354,61250990,70842648,84399981,256725814,60441637,70842663,58128204,46759815,36881043,36881042,46759811,58128197,70842653,66924408,66924407,73188655,60441640,60441639,257289542,61883510,50393695,50393696,61883513,74675686,86299306,86299388,72702233,66924380,54667908,54667907,60337254,60337255,73077454,80350482,66924247,54667784,54667785,58128183,46759807,39107780,30510758,30510757,39107773,46759818,46759820,58128209,51004111,51004110,62626857,72702045,72702046,86299277,86800823,86299230,72701950,59964469,59964473,61695874,50214085,40191982,40191980,47099857,58478267,71200247,72702109,72702110,73188602,73188601,86800813,83953109,83953102,70426590,70426588,70426611,58128187,58128188,70842644,75663098,71200224,71200225,84769390,86299273,72702037,59964579,59964580,59316335,47923212,47923211,59316331,60441619,60441616,60441614,72702009,62626867,51004120,48572546,48572544,48572579,59964586,72702051,78547086,92594633,86299223,72701946,62716941,51085621,51085620,61695870,58478260,58478259,71200234,75565606,73188610,60441600,49037609,49037610,60441606,70426598,57732078,46381998,46382000,57732082,62716951,60441624,60441622,62716956,62716957,75663100,89323473,86299267,72702029,59964573,59964575,72051158,65256697,57732066,57732067,70426578,72702013,59964548,59964542,59964543,48572550,38656774,38656773,38656777,48572559,59964588,65256789,78547081,72702060,72702061,86299285,258506920,72702072,78547015,78547013,257887808,86800809,83953120,257599428,51085652,257716071,75663111,65256679,53266952,42814016,33781463,25971151,25971153,33781467,42814020,42814044,42814043,53267008,48572540,38656765,30079794,22698448,16495479,16495480,22698449,30079799,38656784,48572570,42814064,42814066,40209169,40209168,50230042,48572675,48572593,38656796,38656795,48572589,40869203,40869201,51004129,62626882,65565863,59964630,53267063,53267062,42897750,40943051,32164091,24578872,24578871,32164086,40943042,48572573,48572574,59964601,53266971,42814029,33781472,33781474,42814031,53266980,62846816,62846817,59964747,48572692,38656848,30079838,22698469,16495496,11492897,11492896,16495487,22698457,30079817,38656821,48572637,59964678,59964673,59964676,65256764,65256765,72702102,59964640,59964641,59964690,72702154,78547068,78547064,65256757,65256756,75663116,89426632,90619882,76753643,63661196,51865580,41575341,32679738,32679737,41575334,51865571,63661176,74189855,72702163,59964789,59964791,48572755,48572756,59964809,70985715,84548756,97690221,83832499,83832500,97690222,85438367,85438366,99379270,88104467,74492463,74492462,88104465,77236951,64092731,64092730,52245482,52245481,64092821,77237065,84742129,84742122,84742121,74492434,61710208,61710209,58450413,58450414,71172698,58450402,58450404,71172676,71172686,84742167,98670878,97510402,97510403,84742143,71172634,71172633,84742138,74492467,61710227,61710229,74492473,88104480,84769083,71199900,58477942,58477940,71199898,66897784,66897785,80325610,80325602,80325600,84664051,74203013,66897657,66897656,71172671,64092737,52245427,46745752,46745753,58115194,58115672,70830577,58450356,58450355,71172628,58450422,47073278,37179548,28660174,21415568,21415567,28660166,37179537,47073266,58450398,71172694,84742172,83627516,83627515,71172645,58450363,58450362,54640268,54640269,66897752,80325577,80325589,80325590,74203021,61424347,61424346,74203019,66897792,54640310,54640309,66897788,66897807,66897808,80325505,66897658,54640191,43897145,43897146,54640196,66897667,80325521,66897723,66897724,64840915,52916076,52916075,52916072,52916071,54640287,54640288,47073270,37179544,37179543,37179533,37179532,47073252,58450381,71172666,70830164,61695742,61695744,74478149,74203007,71172642,66897756,54640273,54640275,66897763,73381669,60635632,60635623,60635622,66897835,66897833,66897800,54640315,43897221,34625200,34625202,43897227,54640323,66897813,54640365,54640366,66897859,66897663,66897662,71853351,66897727,54640248,52245385,41908391,41908392,33507618,25729114,19823755,19823754,19823767,19823766,26635606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7889813, s2 = 12582897, dlinesl.size( ) = 2 s1 = 7889813, s2 = 12582897, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7889813, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 13967277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2320033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14292743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9743165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2687505, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7901214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7901214, s2 = 7927077, int(edited[s2]) = 0 s1 = 7901214, s2 = 7927077, d1 = 0, d2 = 0 Dl.O(d1) = 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Dl.O(d2) = 73556070,73403187,73401711,60655191,49254502,39327813,39327815,49254509,58422168,58422169,47269062,47269061,55455118,55455119,55464423,55464425,58656993,71392140,71395187,60657070,49256449,49256448,60657066,60657045,49256424,49256423,60657043,50082543,48326209,38417236,29848481,29848480,38417232,48326204,59588725,59588726,60650622,60472595,49069190,49069189,60472607,73219110,73556030,60809895,49409665,39480174,30875269,23445481,23445480,30875265,39480165,49409654,55464430,55464431,258197103,257035416,51004344,48365003,38463439,38463438,48365002,47653489,37731628,254719908,21861458,22148238,22148239,21547425,15529700,15529699,21547424,28816197,28816300,21547482,21547483,28816304,37355572,37355651,37241224,37241223,47146527,39222309,30624566,30624565,39222306,48091841,38180215,29613306,22262497,22262498,29613308,30513753,37355491,28816241,21547444,15529712,15529711,21547441,28816235,37355478,39318992,49042692,39113021,30515814,23099844,16843562,11779226,11779228,16843566,21547579,28816417,30515793,39113008,39222314,37355721,28816456,21547617,16843554,11779219,11779218,16843550,255143811,11779224,11779223,16843559,20815294,20815293,27979143,30696998,25531620,25531621,23098127,16842263,11778209,7863920,7863919,11778207,16842259,23098112,30513760,30696950,30696951,39294416,39320262,39318996,30720682,23303260,23303259,30720676,30720685,30515815,256452754,37355681,30515795,23099828,23099827,255527451,11937882,7989536,5085173,5085171,7989531,11937866,17022599,17022645,11937895,7989546,7989544,268101377,23281652,30697012,39294456,39294468,39294469,39294446,39294445,30720458,23303096,17042680,17042681,23303098,30697006,30513730,30513729,30722118,23304622,23304623,17053625,11963286,11963284,17053620,23281684,17022666,11937907,7989553,7989552,8008227,11956793,11955980,8003732,5095461,5095462,8003737,11955988,17022619,23281625,23310513,23375280,23311394,17049191,17049192,22394922,17825083,17825084,24194325,22394915,16234977,16234978,17053653,22394900,16234967,16234968,22394902,22106923,22106924,23320176,17055461,11964663,255143231,8005834,7468559,254354317,1649481,1649480,2843464,4719770,7468557,11251058,11932280,7985147,7985146,11932271,16185607,16185608,16185641,16185640,22332287,17173884,12075198,12075199,16186010,16186009,22332378,16185700,16185699,22332376,22332327,16185674,11250812,7468403,7468400,11250803,16185659,22332303,29684058,38248912,257522445,270283697,58126058,70840626,84398039,98307167,84398172,70840819,70840820,84398174,98307161,84398178,70840825,58126329,58126328,70840822,84398176,98307258,87931894,87931895,101905301,98307181,258250886,257059292,39913343,31237844,31237843,39913341,49931626,61410397,58126074,46757791,46757790,58126071,58126003,46757730,36879088,36879086,46757738,58126011,59255914,59672440,269340773,48157949,49931452,39913112,31237630,23754319,23754320,31237632,39913118,49931457,46757950,36879240,28382845,21165158,15208403,10490760,6917603,4345528,4345529,6917605,255019463,21165174,28382872,36879280,46758006,58126335,46764298,46764291,46764293,46757805,46757807,58126093,70840642,58126325,58126324,70840726,58126216,46757913,36879217,36879216,46757911,46757901,36879213,28382830,28382829,36879211,39912674,39912676,47082883,58460936,49931023,49931024,49931805,39913523,31238038,31237538,23754252,23754251,31237536,39913014,49931348,39913226,31237718,23754374,17428129,17428128,23754371,31237710,36505117,46363302,39912686,39912685,39912683,49931009,49913793,39893779,39893780,39893791,39893793,49913812,39913187,31237689,31237688,39913180,49931503,46363242,46363246,57712593,61410324,61410323,254399854,46757969,58126282,70840789,84398148,74189488,74189487,83933120,70406837,57712697,57712698,61410181,74189417,70406846,57712708,46363334,37595673,29047946,29047945,37595671,46363307,48958916,46363351,36505155,28041743,255361999,10304034,6775996,6775995,10304031,14971775,268371591,28041716,28041715,36505105,256811823,258000779,83933113,70406832,57712693,57712692,59304972,59340743,70406851,57712713,57712712,70406848,72074780,59340765,59340766,268677682,60489956,49086964,39157396,30560225,30560227,39157393,39157392,47455622,49304810,49304809,60489951,73236599,257607210,60267956,61817414,50333869,40307819,40307818,48958932,39037080,30447690,30447691,39037081,39460476,257032353,60789501,256828370,37283452,37283453,47192040,44472105,44472106,44472116,49086920,257032332,60707205,58115945,46746997,36867350,29270309,21947784,15858284,10991583,10991582,15858282,16045716,16045715,22169124,29510066,37836425,47758910,47910532,50211307,47910510,37994445,29432118,22100182,15990604,15990603,22100179,29432114,31504534,24005848,17660385,12488524,8458603,8458602,12488521,17660378,24005840,31504505,40021458,50041152,50041151,50211372,40189498,40189496,50211368,61693076,71895476,59157574,47758880,37836400,37836401,47758882,59157576,71895478,74475497,257489574,40307786,40307785,49913861,49913862,61394194,61294769,59377151,47986858,38074118,38074119,47986860,47910494,37994419,37994418,47910491,268692252,49106968,39176742,39176744,39177091,40245722,40245724,41735081,49107485,49893970,39871639,31188913,31188911,39871631,49893957,58827723,58827722,49984754,49107104,49107101,47440652,47440653,49107181,60119340,48724289,38803463,268415019,255940765,30579281,38803526,48724348,49106384,257565677,38803419,30219706,22827455,22827456,16975302,11888051,7948079,267987627,256472587,23162016,23162018,21500662,16900173,11827098,7904018,7904017,11827093,16606492,11581958,11581959,11250471,11250470,16185159,22331640,23161927,16900199,16604340,16604339,16900346,23162177,30579522,30219815,22827538,22827537,23161933,16900201,16900202,23161308,16899854,16899856,23161313,30578305,23161985,23161984,22825058,22825057,30217437,38248271,256942605,48157277,256400569,22331479,29683102,268343608,29683046,22331427,16185004,11250389,254987010,11580283,16604211,20020038,20020039,26902710,32955292,25235390,18666335,18666336,22825007,22331485,22331483,29683106,255904305,255088137,11250688,16185456,22332018,23362815,19538956,13990478,254368494,6312747,7141446,7141444,10807717,15620427,21655278,16700861,16700860,16700989,22935893,22935897,30336744,22935925,16701016,11661593,11661592,15829419,15829420,19538951,19538952,26257751,34123169,38923009,30336752,22935900,22935901,30336759,37475374,37475385,28933859,28933858,37475381,47382732,269789395,37475379,47382730,58769806,58769805,48843748,48843751,48843743,38923321,38923320,47388731,257575589,38923001,38923002,48843463,49174003,60572836,73315659,72125539,59394435,48005957,48005958,58768996,47710605,37789600,29227608,21911488,21911489,29227612,256907853,59108616,58775909,58775908,49173995,49173996,53722450,47438774,37530652,28986088,28986087,37530647,47438771,58825450,60237663,58775897,47388744,37481135,37481136,47388748,58775901,71499195,58825483,47438808,47438807,58825481,58775880,47438776,37530654,37530655,47438781,48843460,60237659,270300460,60237921,60237920,72654296,71847278,59108605,47710591,37789591,37789593,47710597,59108609,71847280,85070527,85077136,71505189,71505188,73315655,71553463,58825441,47438767,47438768,58825445,71553467,71553477,85077129,71505176,58775894,58775895,257510283,38094433,29530650,22188123,22188124,29530654,38094438,48005964,59394441,71505165,59913718,48520317,38605248,30031501,22657091,22657092,30031503,38605250,48520321,59913720,58829305,47443279,37535287,37535286,47443276,269790809,270819413,85124231,85124230,99049168,258782833,72654295,86255584,72654290,59913704,59913703,72654286,86255580,99049193,255528962,268243748,256477516,85070721,71498652,257465381,47382099,48520322,257549977,72654301,73392407,73392406,258183718,47443285,37535291,28990356,21706281,15664563,10843763,10843765,255421471,256348313,47443289,58829316,71556700,85127200,76811111,63709669,51902871,41602991,32700177,32700176,28933159,21655517,21655516,28933155,37474728,37474327,37474328,47381672,58768878,71498339,85070436,73392422,73392410,60645822,49245268,49245267,58826134,47439418,47439420,58826139,58829312,58826146,47439425,37531228,37531229,47439429,58826150,60645836,49245277,48520299,269352165,72654294,86255587,86825587,256463482,257465383,37474726,28933153,28933152,37474724,47382097,256995150,58768876,71498336,85070434,87007855,73392416,60645829,257022259,39318370,49245272,47439421,47439422,258080555,58775834,47388680,257465901,269371281,39318384,30720094,23302749,23302750,30720087,30720085,39318374,39318378,49245274,55399135,48843454,268652869,30336733,256995157,60237653,58769249,47382094,47382093,58769246,71498649,85070719,98996319,259945411,122893128,108629015,94342039,87007858,85077088,71505120,60645891,49245325,257602747,49245321,258210365,87007908,100533084,86572256,72974494,60237712,48843525,257022267,30720132,23302774,17042464,11955833,8003636,5095399,5095398,8003633,11955829,17042456,23302758,30720104,39318397,39318403,49245296,60645860,71498601,58769201,58769202,71498605,85070692,98996323,112985989,122893131,108629018,94342048,80286080,80286077,94342044,90966743,77080985,77080986,90966745,101001577,87007905,73392464,60645885,257022263,30720118,30720119,39318424,39318435,257022265,60645901,257602742,39318430,49245329,49245285,39318391,39318392,49245286,60645848,60645884,49245315,39318420,39318418,49245312,60645880,73392462,87007903,101001575,98996129,98996128,99374473,85433046,71847245,71847243,259346629,260074123,87007872,87007871,259457488,60645907,49245334,49245333,58775845,58775844,71505131,259326823,112991662,126839918,126839919,271824308,140188576,142375369,270875794,115072901,128999698,128447360,114563646,100533377,86572577,85433041,260074125,92446808,78411115,78411116,260314119,118342663,104185888,90056788,90056789,104185883,258807054,76248448,72974309,60237542,60237541,72974307,260908229,106751589,104185884,90056786,90056787,104185886,99049185,85124262,71553496,58825475,58825464,47438791,37530658,37530657,47438785,58825460,71553483,85124254,98996132,85070468,71498372,58768912,58768911,58768937,256995158,256995475,38928369,48848509,60242224,58769229,47382075,47382074,58769226,58769224,47388692,37481095,37481094,47388688,58775851,71505137,71505159,58775872,58775871,256907850,48843764,38923349,38923350,48843768,43854344,43854343,54598307,58768932,47381714,38923598,38923599,268652876,47382078,37474714,28933140,21655507,15620578,15620577,21655502,21660293,15624164,10810395,10810394,15624161,21655256,21655257,28932834,37474368,38923592,30337255,30337254,37474343,28932811,21655237,15620399,10807694,10807693,11661637,16701080,22936006,30336825,22935951,16701040,11661608,11661610,16701043,22935956,30336829,30337054,30337055,38923352,34583019,29821240,22936025,22936024,30336916,38393579,38923595,47354728,37481122,28939143,21660307,21655523,15620589,10807823,7141496,7141495,7143316,4497771,4497769,7143311,10810400,15624170,21660302,28933147,28933148,22936270,16701275,11661745,11661744,16701271,15620416,10807708,7141442,7141441,10807703,15620407,21655248,22935963,16701049,11661620,7772884,4925683,2970879,2970883,4925693,7772912,255950901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7901214, s2 = 7927077, dlinesl.size( ) = 2 s1 = 7901214, s2 = 7927077, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7901214, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 14853885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16256416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15282607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9812073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16001513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13345489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9068847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8189717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8189717, s2 = 7927093, int(edited[s2]) = 0 s1 = 8189717, s2 = 7927093, d1 = 89, d2 = 59 Dl.O(d1) = 29920949,38480980,257139163,41089549,48383562,38480904,38480903,48383561,48383575,257428057,36981027,255821503,15306320,10570171,8342383,254402661,3311157,5384568,254850569,17509461,255506030,8341651,5384130,3310919,1947821,1112702,1112701,1947817,254402635,8341632,12346738,17509494,15605177,10796134,10796135,8341855,8341857,254402639,1947862,1947861,3310997,5384283,5384206,254594039,12346927,12347204,17509944,21073457,17510006,12347251,12347250,17509996,21882969,21882970,17509507,12346748,8341643,8341639,12346743,16017383,11121286,7376531,7376532,11121288,15806939,10953370,7249412,7249413,7249431,4571263,4571264,7249433,10953405,15806984,21882965,16493950,16493951,22696483,16677164,11640922,7755336,7755335,11640920,16409873,22592993,29957455,38522449,30044581,22669081,16473421,11477822,7634066,7634065,11477818,13954893,13954892,19495882,26205657,34061177,43137980,53640356,46693812,36810494,36810493,36810518,36506228,36506229,46364544,38625631,36810543,30051819,30051814,38625659,48540275,58852479,47468321,37561406,37561407,47468324,255858686,79044383,79044382,85161024,85161022,99084014,113063623,113063622,99075242,99070745,86906581,73296447,73296448,61966870,61966871,61970704,58875544,58875545,71596352,85161919,74768606,61970845,61970846,52461335,268621414,255546644,13408489,9167167,9167166,13408485,18821192,256124937,31743968,40438210,31744030,31744025,40438276,50475253,61969118,74767642,74768461,61970616,50477283,40440472,40440471,50477281,61970614,74768459,88401106,85155002,74767515,74767514,88400759,74768554,72550220,59815013,48429066,38521419,38521420,48429068,59815017,72220065,72220066,59815007,59815011,64328494,52460707,47486152,37580797,29047006,29041742,29041743,37570532,29023809,29023811,37556696,31739958,31739955,36651147,46518173,37580752,37580751,47468557,47475438,37569593,37569594,47475443,58853265,50480830,50477175,40440382,37575449,29028449,21737971,15688486,15688487,21737978,29028471,22263704,22263703,29614614,37551882,47459381,58844763,53373822,47498868,47464698,47464699,48162598,38253378,38253380,48162601,256352162,71576008,61965839,61965841,74765299,74765301,72220237,59483358,48093928,38182162,29615036,22264007,22264006,22263931,22263860,16123295,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,12126334,10846400,10846399,15667850,254367434,254367436,22914984,16683625,11645628,11645627,254367514,11374901,7556908,4778514,4778516,7556912,7559903,4780358,2880737,2880013,2880012,2880709,2880714,4780328,7559842,11378996,16352018,11380939,8226510,5296966,5296968,8226515,12143826,8173433,5242851,5242852,8173435,12143830,12174370,11372936,7555538,4777750,4777749,7555536,11372931,16344887,16342037,16342036,21979863,16459308,11468249,11468250,16342501,22515925,22522318,16409197,11425314,11382176,11382177,16355790,22528514,29868195,22508696,22508695,29868192,22518018,22518016,23634987,254581584,31120892,23634408,17318495,12193744,8224134,8224135,9966022,9966025,6549985,6549987,8241894,5313661,254182038,1095269,1095270,1917563,3263026,5313690,8241934,12211100,17294983,17294984,23607607,23637589,22481781,22481778,17333263,12208040,8239557,8239558,12208046,17254846,12193792,8224156,5294573,3245744,3245745,5294578,8224163,12193811,17318585,17325630,17325631,22505633,22505634,29866283,26043772,22932291,16697559,16697560,16231772,16231771,254584522,267841750,17345425,12218779,8249019,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280957,5280953,8210092,12178468,9502143,9502142,13851395,19364827,26043771,22389788,22389787,29749509,22498337,16324218,254806558,11285341,16233076,22392644,22650542,17655679,17655680,23999896,31497349,254361640,23583856,29852815,29852814,254541550,28772376,255204614 Dl.O(d2) = 7909284,11834732,16910670,17180351,17180350,23458823,19105286,16910819,11834828,11834827,11834796,7909325,5027904,5027905,7909330,11834810,12079655,8122947,5204103,5204104,8122953,12079692,17180216,21936916,16910587,11834670,11834671,16910593,16910678,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175131,5204154,8123049,12079850,17180445,19105281,13640868,9341014,9341015,13640870,17180410,12079819,12079818,16910751,11834878,11834872,7909370,7909372,11834876,16910889,12079668,12079669,11834994,11834993,15848878,17566082,16910921,16910918,22119951,22119952,25738400,19105335,13640898,13640897,16911028,16911027,254816126,6118538,6118539,9341023,11025532,11025535,255016096,255807888,255583132,31037386,23555384,17246476,17246474,23555382,28772687,37306451,38016314,38016313,47930440,50274271,61754561,58771807,52928979,42518501,33518656,271053997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8189717, s2 = 7927093, dlinesl.size( ) = 14 s1 = 11139580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139580, s2 = 9267578, int(edited[s2]) = 0 s1 = 11139580, s2 = 9267578, d1 = 6, d2 = 3 Dl.O(d1) = 236936486,236088799,235157248,234133513,233008395,231764699,230380316,228821879,227052964,225025363,222690786,219971843,216749882,212862010,208107713,202341325,195482149,187461881,178245352,167800768,156205461 Dl.O(d2) = 116515151,102419655,88419210,74787574,61991160,50499292,40463299,31768591,31768592,35031641,26951183,20066569,14382475,9887988,6496969,4071050,4071049,6496964,9887977,14382461,255741223,35031584,35096238,33718179,25911640,25911639,24484600,18061783,12805285,12805288,18061796,22835320,16614201,16614205,18155918,12874791,12874793,18155926,18062405,12805650,12805647,18062395,19696655,19251016,19251014,18062293,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,22098216,20171864,20171863,21876686,29188457,25356441,18774352,13370348,13370346,18774347,25356431,33089117,42036852,37243692,28712761,28712763,37243690,47148972,55374264,46578923,40523930,31826844,31826843,40523929,257689829,74850886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139580, s2 = 9267578, dlinesl.size( ) = 2 s1 = 11139580, s2 = 9267578, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11139580, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 979982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 979982, s2 = 1297551, int(edited[s2]) = 0 s1 = 979982, s2 = 1297551, d1 = 17, d2 = 33 Dl.O(d1) = 24794091,18310719,18310718,24794089,32420226,41246923,48149232,52042180,41727114,32806735,32806737,41727117,52042182,63861753,76973413,84649923,71087305,67803948,55462495,50504006,40468179,31773427,31773429,40468182,50504009,61995699,256047262,61995696,61995695,61558710,50078622,50078624,52042205,41727135,32806745,25104591,18555650,13184895,13184894,13184902,18555667,18555664,13184899,13184898,268483877,41727163,41727138,41726925,41726924,52041945,63861526,76973200,76973248,63861584,52041993,41726970,32806636,25104518,256104633,257173627,52041951,52042068,52041900,52041897,41726840,41726839,41726873,32806554,25104452,18555571 Dl.O(d2) = 258792057,61529777,60053166,48656767,38735809,30153699,22765656,22765657,30153703,38735814,48656736,60053126,72791641,72791654,72985583,86582549,100345396,114369746,119223999,114573293,100543251,86582642,86582643,100345392,86388325,86387470,86387469,72985614,72985615,86582578,259431861,72985695,258260826,72791639,72792585,60054131,60054132,258792059,60250321,60250320,72792571,86388316,100345384,100543243,86582636,72985707,60250315,48857626,38938340,38938342,257576695,72985718,86582646,86582638,86582618,72985677,72985676,258807975,269361491,38938363,38938362,48857648,48857662,60250374,72985734,60250335,48857636,38938348,30352362,30352363,38938353,48857639,60250345,72985744,72985613,60250237,48857572,38938297,30352333,22950615,22950616,30352338,22950638,16713794,11672048,11672047,16713788,22950636,30352367,38938360,48857568,60250231,258184683,258807977,60250377,256996345,30352377,30352376,35095791,27009383,27009381,35095789,44472584,55318614,44472582,44472581,55318613,67658276,72985808,60250400,48857684,38938386,30352383,22950641,22950642,30352385,38938331,30352353,22950624,22950621,30352347,38938317,48857596,60250264,72985639,86582590,86582601,72985655,60250273,60250274,60250402,72985812,86582614,86582613,100125704,100125703,260048715,100543234,98269239,98269238,100543215,260048717,128456577,260323306,104951471,90771828,76892917,76892916,70802340,70802339,72948139,72948140,72985800,60250393,60250391,72948160,60208445,48811343,38888869,30302728,22903716,16672508,16672507,22903715,30302725,38888868,48811339,60208439,72948152,86547886,100509957,112248847,98269247,84360891,70802347,58085506,58085507,70802349,84360896,270846221,72455634,86054226,90771820,76892909,63782933,51967602,41659841,32749138,32749139,41659844,51967605,59719469,59719468,72455631,255869620,48334346,256905702,86054228,86054227,76678674,63592145,52719391,52719390,63782989,76892936,63782969,256162528,32749159,25057539,25057540,32749161,41659865,36641415,28166314,28166313,28894933,37435890,39844126,39844127,49866827,41659864,256679866,41246881,51446630,41659893,32749182,32749157,25057536,18519426,18519424,25057533,32749155,41659857,51967626,63782957,70566489,84102984,93227804,107631256,106924860,106924862,92604662,78557055,65267473,53697008,43185079,43185078,53697005,63146229,51446642,41246889,32420189,24794054,18310690,12998098,12998099,18310692,18310708,18310680,18310679,18310669,12998081,12998080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 979982, s2 = 1297551, dlinesl.size( ) = 2 s1 = 979982, s2 = 1297551, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 979982, Dl.E( ) = 38, 1.91e-05 seconds used appending s1 = 1712906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16234685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8318983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7898283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14332059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14565669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14565669, s2 = 8375879, int(edited[s2]) = 0 s1 = 14565669, s2 = 8375879, d1 = 7, d2 = 5 Dl.O(d1) = 58084282,258970211,63048576 Dl.O(d2) = 77267312,256519658,84083111,257066398,70545998,70545997,73425954,256867240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14565669, s2 = 8375879, dlinesl.size( ) = 2 s1 = 14565669, s2 = 8375879, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14565669, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9826917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8289795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7651423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7651423, s2 = 11543304, int(edited[s2]) = 0 s1 = 7651423, s2 = 11543304, d1 = 48, d2 = 34 Dl.O(d1) = 271006634,76630663,90489212,101915597,87943031 Dl.O(d2) = 231691408,230298984,230298985,231691409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7651423, s2 = 11543304, dlinesl.size( ) = 14 s1 = 15901957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8327036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 938949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 938949, s2 = 10343260, int(edited[s2]) = 0 s1 = 938949, s2 = 10343260, d1 = 1, d2 = 23 Dl.O(d1) = 23818894,17483725,17483726,23818898,22853051,16627863,13153276,13153277,18512707,25049097,254902266,17796392,17796393,24164205,31306100,23818878,17483716,254849013,8327767,12327521,17483713,23818873,256518657,49998291,61476034,74254080,76879466,63770176,51955349,256906874,59096949,47699214,37779179,37779178,47699213,59096945,47702174,47702172,59100251,71839405,72049417,72049416,72049376,63770197,63770196 Dl.O(d2) = 32815960,41736708,47513620,47513621,37779809,29218998,21905501,21905503,29218988,37779791,37779816,47699996,37782054,37782055,256907101,29220437,29220435,37781879,47702600,256520324,59323786,52061539,41747776,32827158,25122929,18571206,18571205,25122924,21905536,15824724,15824723,21905531,25112744,256105395,41736908,41747754,52061508,63879636,258531950,76981490,76981514,76981515,85426446,71840306,258372154,269065486,43920776,34647672,26656430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8402877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8402877, s2 = 6983869, int(edited[s2]) = 0 s1 = 8402877, s2 = 6983869, d1 = 3, d2 = 1 Dl.O(d1) = 48000896,59389474,72120814,85705986,99654130,113667413,127538893,140894188,260497848,140882297,127526689,258649746,85691529,72105586,59373076,47983122,256835712,29102671,21804489,15743712,15743714,15154033,15154032,21096930,22687599,22599747,16416458,16416459,22599752,29964447,29964483,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809492,32444131,32444202,41283524,46760537,51738101,61335343,256861906,27224091,27224089,27199554,20272810,20272811,27199559,32986564,25263240,18691870,18691871,25263243,31597304,31597301,36804399,29507398,29507396,38071024,47983123,59373077,72105587,85691530,93386797,79260009,65897866,53830734,53830732,53830733,65897864,53830753,43305857,34207341,26333284,24975799,254151178,13110766,13437974,18389073,13061901,13061902,18389075,24888674,32533429,41383750,46456116,46456117,48101451,38189805,29622758,22271457,16129791,16129790,22271455,29622754,30889914,30889913,30889925,30889924,39497112,43212107,36589932,28117035,28117036,255233670,43212116,34124670,26259090,19540067,19540066,254151610,27242670,35366004,44790279,55697580,254679330,95618880,109823798,111859061,97924857,84054140,70519014,57817673,46461494,36595186,28122026,255369381,15036360,20944713,255720656,36595189,46461500,57817683,267942828,50225590,254464648,50225586,50225584,254960334,55697576,55697566,44790265,35365998,35365999,44790266,254464632,46461502,254960328,254960330,97924875,268528106,256190976,70519025,84054153,81584839,68095009,68094994,254679322,81584824,68095000,254464634,44790273,44790272,55697571,68095006,81584833,84054148,97924869,105355087,91137109,91137111,105355089,256710950,84054142,70519015,256190876,97924861,268041048,81584843,95618887,255720652,64079832,64079806,64079807,77222806,91138040,88391840,74757939,74757938,257464648,61957821,52233943,41898094,32960032,25238873,25238874,32960035,41898097,52233946,64079333,52233563,52233562,64079331,77222105,64079805,255850566,32960024,32960025,41898083,52233928,64079808,77222808,91138041,105356334,119587515,105356337,105356336,105356344,270817734,146699686,133452327,133452328,259325862,119587529,133452342,271618200,156176536,167773433,261123336,146699706,143646108,143646107,156176533,146699684,146699683,259745148,133452323,271979081,257464640,269320852,91138053,77222814,77222813,91138051,105356343,119587524,133452338,146699697,271618202,146699702,156176539,143646127,130321988,116486522,102392308,88391837,88391836,102392306,116486517,130321981,143646119,146699701,133452340,133452339,130321984,130321985,143646123,136361480,122377240,122377239,107950925,107950924,122377251,130321978,130321977,143646116,133452335,119587522,119587521,133452333,136361445,257271124,161924548,149627287,136361499,260363770,136361487,122377248,122377249,122377234,122377233,271618204,93513627,79377036,79377037,93513630,107950930,122377259,136361497,149627241,136361476,136361477,149627257,149627282,150643730,161924571,161924552,149627260,136361451,136361452,136361453,257866142,161924558,161924567,259745144,122377219,122377218,136361465,149627276,161924566,161924560,149627267,136361457,136361456,149627250,257866146,162739915,161924580,150643731,257866148,107950879,93513568,93513567,256710862,136361462,149627271,161924562,173075976,259113582,161924564,149627273,136361467,122377220,122377211,107950875,93513566,257866136,66008818,79376977,93513570,269146972,136361431,136361458,136361459,122377266,122377264,107950947,93513654,93513655,107950948,256190790,93513559,93513657,93513656,107950950,93513660,257271122,93513664,93513663,93513554,93513553,268795970,93513574,93513573,95618857,81584810,255309596,122377181,107950963,107950888,107950889,107950958,93513662,79377069,66008888,53938485,53938486,66008891,66008892,66008814,53938421,43411441,34310102,34310103,43411444,53938425,66008820,256710860,271670021,95618855,255720494,122377180,107950850,107950852,107950887,93513669,79377076,66008894,66008893,79377074,258483656,127987715,114102970,259745138,123557781,123557780,127987722,114102977,100072307,258483654,258772833,59774279,48391256,48391254,59774276,258772831,100072301,100072302,114102974,114102980,122377221,136361469,127987716,271118774,100072298 Dl.O(d2) = 127987706,259745140,137289916,141350463,260880312,114102967,127987710,141350466,272223192,154770883,142138686,142138687,142138691,259406534,114889603,270334792,142138685,154770879,261201654,154154681,165915574,260960858,154019751,154019750,165786727,272705472,141350459,154019747,262262278,177057427,166476166,154770888,154770887,166476164,271815410,154770882,166476156,261748684,154154683,154154682,165915572,154154678,141489143,262262285,176563939,263187984,272875998,176746291,176746288,175848367,165126278,165126277,175848365,261766658,260644094,153315144,153315143,165126275,175848359,261766656,147180043,133957867,120116069,105904199,105904200,120116071,261447107,159538645,262480085,133957888,260880315,105904193,260285033,261447099,133957885,133957886,147180066,159538665,147180060,147180061,262480079,147180032,133957862,120116065,259669189,77769358,64586432,64586431,77769356,91696842,260285031,261447097,272705784,120116088,120116102,259669195,91696879,105904228,91696868,77769372,77769368,64586440,64586441,77769370,91696865,105904223,105904170,91696815,259669185,259669187,120116054,105904187,91696836,88101913,74489743,61706936,50225537,40203335,31516588,256535529,40203342,40203341,40203355,257082899,61706926,50225546,50225547,53938931,43412060,34310807,34310806,34590946,43861005,42066715,33117691,33117692,257193441,64265990,59298330,256383036,255450566,15987609,11098691,11098690,15987607,255885615,256923143,47620416,37964315,29399687,22069037,22069036,29399686,37964314,47883036,256823466,33117694,25382232,25382233,33117697,254487716,59137271,47738556,37816146,37816145,47738555,42066712,42066711,52410577,59271825,59271826,59279590,59279591,49029486,39100513,39100514,256921020,73180110,86792545,86792550,86792543,73180108,73180109,86792540,84331132,84331133,89399941,89399942,256834832,74371709,87973619,74371706,61595446,61595445,74371703,258648922,76085872,87973616,87973617,92521694,106833018,115990033,106833029,92521709,92521708,106833022,106833021,92521707,91302453,91302454,105520183,270484722,270415100,91302450,77384252,77384254,91302451,105520180,101945910,87973609,74371699,74371698,81276465,81276466,95335488,109590332,123780175,109590330,109590329,102699719,88690540,88690539,95335518,81276505,67808802,67808803,81276509,95327825,270336030,55459228,44610850,44610851,55459230,258542369,95327827,109583058,95335530,86460430,86460431,100417651,95335504,81276493,81276491,271173935,259555854,105520186,91302460,77384263,64233947,64233946,73550233,258307404,55467045,54603743,54603744,66861801,77384249,67808788,55467037,44617942,44617941,55467036,60803271,49402697,49402696,258222181,55467049,256972400,35235871,44617949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8402877, s2 = 6983869, dlinesl.size( ) = 2 s1 = 8402877, s2 = 6983869, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8402877, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 8246175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9498059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7810938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7810938, s2 = 12890571, int(edited[s2]) = 0 s1 = 7810938, s2 = 12890571, d1 = 4, d2 = 1 Dl.O(d1) = 239497552,239051368,238411413,237709822,236937578,236089802,235158082,266311768,233009071,231765312,230380907,228822478,227053515,225025857,222691275,219972380,264714742,208108620,202342405,195483304,187463201,178246946,167802775,156207925,143678577,130354020,116517458,259275866,50500728,49264179,48776352,38856317,38856318,38856312,38856313,38755041,38755042,48676548,40146268,31462713,31462712,38948128,30362144,22960902,22960901,30362142,38948125,48867872,46285405,36441368,36432250,27973224,20809675,20809674,27973222,27973210,20809662,14914109,14914108,20809659,27973202,20818278,14921224,14921222,20818274,27982345,36432267,36432266,33375536,33375537,42364406,42730445,33700652,25894609,19234859,254147934,33375526,25610651,18997794,13557652,13557653,268195984,33375527,42364393,52763885,52763886,52763930,42364400,33375534,33375535,42364403,52763890,52763871,46285377,36432207,27973185,27973184,36432205,46285375,42364326,42364325,52763866,64678768,64678800,64678805,254448874,42730448,46293373,36440319,27981202,27981204,36440323,46293382,36440328,27981207,27981209,36440304,27981216,27981218,36440346,46293413,57637679,46293372,46293310,46293311,57637622,57638522,57637698,46293406,36441316,27982299,27982298,36441312,27982304,20818241,20818240,27982301,36441321,46294264,57638520,70328755,83853273,70328736,70328734,57638512,57638511,70328742,70328746,70329021,70329022,83854112,83854104,70329011,57638788,46294547,254996496,70329014,64377088,52503216,42145045,42145044,52503213,57637642,46293326,36440272,27981141,20817134,20817135,27981143,36440276,46293331,57637649,70328046,256269150,70328043,57637646,57637645,70328040,83853276,268062006,57637633,57637632,70328033,83853266,83853883,97712736,97712920,97712735,83853881,70328728,57638791,46294550,46294549,57638789,70329017,254996498,64377083,64377084,52503218,254996508,25440473,25440472,27981139,255357774,256269144,83853269,97712225,83853277,256269146,70328054,57637653,57637652,70328051,57638798,46294557,36441636,27982615,27982614,36441635,268209742,70329024,71378709,83853279,91476934,77545453,77545452,71378680,71378681,84954044,98879542,97712918,83854108,77545450,70329028,255357776,77545458,64377100,52503239,42145059,33185759,33185758,255357848,64377097,77545456,257384502,83853261,70328027,57637628,46293314,46293313,57637626,57638802,46294561,36441639,27982619,20818493,14921396,10260497,10260498,14921400,20818496,256269255,46294565,57638805,70329031,256806240,111634007,111634004,97712917,97712916,268901140,64377098,64377094,52503232,52503233,46294202,36441277,27982269,27982268,36441274,46294198,57638457,70328688,83853857,255782832,58642811,47249957,37340198,28802242,28802243,37340200,36441641,27982620,27982621,28802247,37340207,47249966,58642819,71378700,84954051,256335092,98879545,98879544,105701571,91476929,77545446,76275685,71378703,63256337,51539820,51539819,51539881,41318611,37340177,37340176,47249938,255041190,33185755,33185752,42145049,52503222,64377090,77545448,71378706,58642822,47249970,47249969,58642816,47249962,37340202,37340203,37340216,28802264,21535854,21535855,28802268,37340221,32472768,32472767,41318576,51539830,63256348,71378690,58642804,58642805,71378693,71378696,63256370,51539859,41318595,41318594,51539840,51539841,254996302,51539850,47249979,47249945,47249944,58642801,51539865,41318601,32472782,24832937,18339184,18339185,24832941,32472788,41318605,51539869,63256377,70328696,70328698,254480082,46290581,36437382,36437381,46290579,51539860,51539861,63256372,71209703,76275709,254703842,57635225,63256391,63256392,76275712,70328720,57638496,46294236,46291058,36437884,27978882,20815045,20815044,27978879,36437880,46291048,57635560,70326201,70326205,70326206,83851581,70326197,57635557,46294280,46294279,57638537,57638538,57638466,57638467,58488099,58488101,51539878,51539877,63256384,58488091,47110058,37213202,28688622,28688623,37213205,47110059,58488093,71209711,58488104,58488106,71209713,62040506,50548569,46294214,36441285,268901131,27982293,20818237,20818236,27982291,36441304,46294243,57638499,254217562,254217560,60534962,60534961,60534959,254154762,71209705,58488090,57638491,46294229,36441296,36441298,46294216,36441287,27982277,20818227,20818226,14921206,10260367,10260368,14921207,20818248,27982308,36441332,46294195,254321106,24300614,17917437,17917436,24300612,31816488,40512770,42726853,39207897,39207896,47110064,58488102,57638481,46294219,46294206,42726855,42726856,51950981,41644850,32736074,27982283,20818230,14921197,10260361,6742336,4224908,2526252,2526253,4224910,6742340,10260370,14921211,20818253,267762744,27982266,27982267,36441272,46294196,57638453,49134856,254084254,23191995,16925040,11845632,11845633,16925044,23192002,30611441,30611442,26150245,23191776,254703880,39207644,255595558,73279068,86890399,100870577,114921160,128818446,142173080,154806910,166512779,177093491,186447946,194600813,201583129,263266910,216264305,215987123,264512967,201142924,194095187,185871091,176441066,165786547,154019446,141350073,127987254,114102547,100071855,86106525,72507883,59773860,48390848,38487708,255919543,16386284,11404599,11404598,16386283,22565721,16385531,16385532,22565724,29925563,29925587,29925588,33663579,28280528,21075695,15138801,10441142,6883178,6883181,10441151,12539298,12539297,17723600,24080773,21148510,17534495,17534497,21657545,15622171,10808972,7142352,5466380,3361374,1976197,1128110,1128113,1976209,3361398,5466437,8460279,12491122,17664266,15858747,15858748,11950416,7999499,7999498,11950414,16386033,11404612,11404610,16386300,17664047,15891555,11016772,11016770,12367309,12367310,11404220,11404222,16385707,15622764,10809351 Dl.O(d2) = 15848975,16911011,16911009,255204656,16910928,254877560,255521113,30593905,33719414,33719415,37821704,37821707,30053600,30053599,38627437,48542300,40195394,31509632,24009848,17663214,17663213,24009843,19105662,19105444,13640989,13640990,19105447,25738517,33518019,38244744,38244743,48153596,59539991,72273570,85865015,99818268,113833416,127702747,141052331,153718809,165497033,176175138,185635628,193889982,261164446,173755748,162754455,150658218,137660445,123978318,109838444,95634603,81601525,68112697,55716319,44809859,35385407,27260111,20326015,20326014,27260108,35385401,38055597,38055596,47968787,59359830,72093429,85680217,99629450,98882624,257597108,71382333,71382334,58646672,47254344,37344936,28806851,255524662,30235303,30235302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7810938, s2 = 12890571, dlinesl.size( ) = 2 s1 = 7810938, s2 = 12890571, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7810938, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 1927636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2375811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2285649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3503418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2728127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2395738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2557619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2403902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9793899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1701697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6823123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7022199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7974802, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6791182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8379703, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6698260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15899062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15899062, s2 = 3018238, int(edited[s2]) = 0 s1 = 15899062, s2 = 3018238, d1 = 6, d2 = 3 Dl.O(d1) = 9544972,8519828,254303886,254461358,9354741,6127460,3833690,2296889,2296892,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,3833761,6127610,9354362,9354358,267812994,24512099,20806961,20806962,20807019,20807018,27969589,33516728,33432061,25662834,19043143,13593677,9307936,6097187,6097188,267780018,6097186,9307934,254449854,25662829,33432052,42424334,52822401,42420738,42420739,42424336,52828511,42424333,42424332,52828509,52267063,41928332,32987943,32987944,30006939,30006940,38577859,37895181,29326787,29326789,37895183,47817196,39491415,255621244,17175958,12076655,12076654,17175956,18738620,18738655,14582228,12854383,12854379,18128098,24568579,32152064,40929506,48312765,38402029,32832617,25127620,18575012,13199947,8998368,5874723,254639911,13199943,18575005,25127609,32832610,35366961,31059149,267944314,25687615,25687613,33459499,256640860,64776201,258400762,106090720,120291212,134122456,147334768,159683076,170998241,262931472,197610084,204114208,209545108,214000779,217658403,217661293,217656267,213998921,209543690,204113229,204113228,209543686,213998906,217656198,220708221,220712533,220709761,220709756,217657552,217657553,220709758,223307158,225552027,223307378,265102229,217657774,220710019,223307377,220710590,274148083,209545017,209545018,264629164,209548867,204118533,197610065,189967051,189967052,197610067,204118535,209548868,204118643,204118644,264358110,217661126,264873146,223307911,220710590,274148083,214000668,214000666,214000667,217658297,220710586,223307906,223302594,265497618,209539348,213994750,217652382,220704873,223302597,225547748,223302342,220704651,217652232,213994645,209539279,204108667,197599961,189956778,181092889,170987627,159672541,159672545,170987641,181092911,189956815,264068005,209539380,213994793,217652434,220704923,223302654,223302302,220704620,217652207,213994628,213994627,217652203,220704610,217652305,213994747,213994748,213994757,209539350,209539348,213994750,217652382,220704873,223302597,225547748,223302342,220704651,217652232,213994645,213994644,217652231,265301085,225547741,265646839,223302342,220704651,217652232,213994645,209539279,204108667,197599961,189956778,189956779,264067999,209539284,264638725,204108667,197599961,189956778,189956779,264067999,209539284,213994635,213994636,217652219,217658240,217652221,213994637,209539273,204108663,197599959,197599958,204108659,209539267,213994629,264882037,209539297,204108680,197599966,189956781,181092891,170987628,170987631,181092901,189956777,181092888,170987622,159672534,159672533,159672547,147324487,134112374,261455883,159672536,147324482,134112369,120280784,106079514,91883883,77958926,64763958,52843960,52843959,64763956,77958928,78258851,78258850,64985632,53010730,42570603,33553521,25763873,19124230,13654451,13654450,19053729,25675456,33446274,25675453,19053727,19053726,25675450,33446271,42439366,44559048,44559047,52843950,52843951,64763949,67746934,55406811,44559046,35180519,27091699,20192901,20192900,20192905,14488510 Dl.O(d2) = 2455107,1419193,807325,457448,457450,807326,798512,452616,452615,798510,798797,798796,452782,255229,141334,77431,77430,141329,255221,452768,798774,1403606,2426404,4053972,6469643,9849867,9153956,9153957,6469913,4054204,2426554,1403703,1403702,2426552,4054202,4054941,2427138,2427135,4054934,6470538,4054807,2427032,2427033,4054808,3751303,3751304,5998466,6403177,4054114,2426494,2426493,4054112,6469817,6403197,6403198,6730995,9199784,6023289,6023290,9184357,6020677,3766444,2256654,1309716,747650,747651,1309719,2256661,3766457,6020703,9196266,9164858,6731095,6426746,6426745,9774342,13185157,13185156,9774340,8992662,5871129,3665935,2194162,1274420,1274419,2194155,3665920,5871111,6020636,6020635,8986505,5866916,5866915,8986502,13183060,14337784,254076218,4410203,4410202,4053745,2426240,2426241,254204430,9737224,254203116,8985339,5866055,5866056,8985343,13181796,9737354,6403277,6403278,8989149,5868892,5868893,8989150,13186844,18558141,267809980,8998911,9902323,6508593,5957955,3725980,3725979,5957953,9000070,5875843,5874801,5874800,8998498,8997897,8997896,5874486,3668003,2195691,2195693,3668009,5874494,8998000,13199408,18574075,13199105,8997757,8997756,6510338,4079728,4079726,6510335,9905223,13199085,13199086,8999151,5875263,3668456,3668457,5875269,6020709,6020708,8998471,8998563,5874853,3668221,2195793,2195794,3668224,5874860,5957982,3725996,3725998,5957986,9105466,9773249,6425991,4031558,267782822,9773251,14216114,13188008,13188007,18559164,13192361,8993332,8993331,267857844,5874864,5874865,8998599,8999272,5875340,5875341,267860944,7486116,4730808,4730809,7486119,8999143,8999144,13200044,8998480,5874787,3668186,2195780,1275665,1275666,2195782,3668194,5874809,8998035,8998036,13199172,13199171,17699711,254638950,13199452,8998038,8998039,13199454,18574407,18575705,18720556,25127762,25127763,32831690,29248382,21928057,267759782,25101516,18577389,18577390,18574129,13199175,13199176,18574132,22157950,16036812,11134999,7385734,5874395,5874399,7385731,7266188,4582307,4582308,7266192,10977942,13447763,13200619,11134938,11134940,16036733,17699706,12519310,8481690,5482672,3373832,3373833,5482677,8481696,12519319,17699760,18575315,22157843,254213192,24709330,24709329,32324125,33219111,33219109,41753854,32832950,25127997,25127996,32831885,29496931,22157939,16036803,11134993,11134994,16036806,18237700,16036938,11135121,7385819,4665993,4665992,3569610,3569609,5732922,8801040,5870130,5870129,8990996,8800970,8800971,8800947,5732870,5732872,8800949,12519383,12519384,17698866,20784874,17699057,12518618,12518617,10632670,10632672,12936538,12936539,18237629,19135474,19135473,25775894,33565373,31343158,23849860,17507415,12345002,254075404,23849862,25419716,29511050,29511049,35180506,267755504,14488502,9968814,6551720,4104454,2455105,2455106,4104456,6551722,9968815,14488506,20192898,27091695,35180512,254922758,67746932,80663429,67188395,67188394,257791082,91528469,77597471,64428535,52554189,52554190,269306924,86074304,86074308,86074307,100037487,86474482,86474483,100431631,114456120,260482398,104252216,270479619,63280772,51562099,41339616,32491853,24849797,18353638,18353641,24849802,32491861,41339624,51562110,63280786,60695159,49293717,49293716,60695151,73443156,87060714,77909191,64720912,64720911,52807019,42406742,42406740,52807016,64720910,77909189,84237776,70685006,57966875,57966876,46929385,37051409,37051410,46929387,53361976,42895886,33850937,26029863,19352603,19352604,21684784,15645586,15645587,21684786,28966752,37510168,47417963,58805200,71050220,84614294,271301401,105745320,105745319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15899062, s2 = 3018238, dlinesl.size( ) = 2 s1 = 15899062, s2 = 3018238, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15899062, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 6440911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6608880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14141797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141797, s2 = 16258120, int(edited[s2]) = 0 s1 = 14141797, s2 = 16258120, d1 = 105, d2 = 60 Dl.O(d1) = 227063913,228832217,230389609,231773091,233015889,234140171,235163336,234537634,233456475,232266096,230947302,274405792,227819370,225933030,225933031,264973288,221275792,218363590,214898109,210686301,205530549,199297819,191931514,183368377,173573055,162541179,150411449,137370565,123638433,109445115,95189061,95189060,81130701,81130700,87944146,101916534,115960396,129857645,143186466,155738891,167372271 Dl.O(d2) = 262829542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141797, s2 = 16258120, dlinesl.size( ) = 2 s1 = 14141797, s2 = 16258120, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14141797, Dl.E( ) = 108, 3e-05 seconds used appending s1 = 13639155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13639155, s2 = 8363139, int(edited[s2]) = 0 s1 = 13639155, s2 = 8363139, d1 = 35, d2 = 29 Dl.O(d1) = 140027145,147170507,146859126,140027143,140027144,146859122,139441568,139441569,133948218,133948213,120106558,105895147,91688063,77760739,77760740,91688064,105895149,91688069,77760741,77760742,91688071,105895159,120106572,133948225,146859120,133601680,129538823,115652445,115652446,129538825,129538827,129538828,126709294,126709292,112857168,112857167,123557860,123557859,137289967,123557862,123557861,120121840,105910132,91703107,77775701,64592998,64593000,67587721,65834918,53774778,43258918,43258917,41126438,32313380,24699847,24699848,32313383,41126440,44397969,35022595,35022594,44397967,257611787,49372245,39466648,39466649,49395147,60795771,73522188,73522187,73542838,60795763,49395142,39466645,39466644,30862611,23432789,17156781,12060233,12060232,17156780,23432787,256487715,49395149,60795773,52453706,52453707,52453727,52453728,64320836,60773834,257188878,73542843,87161212,99542892,91415239,269988917,52453729,64320854,77484628,72018255,64320841,64320840,77484617,77484616,91415232,86585830,86585831,100546911,258392896,65876989,65876988,64732584,64732583,59281285,47884759,47884760,59281286,258392898,258392900,59272995,47877531,37959573,29395085,29395086,37959576,47877536,59273005,64732586,64732587,72988671,72988672,85595786,99542889,88406029,88406028,100973168,99555774,85605418,72016688,59279598,59279599,72008803,72008802,61978190,50485995,40449678,40449677,50485993,50485990,40449674,31754723,31754722,40449672,50485980,61978175,74774470,74774472,61978182,52009681,41697958,32781606,29798579,29798578,24243013,17867019,17867018,24243011,31754719,39300990,30703481,23287650,23287649,23287668,17036267,11950404,7999495,5092364,3090312,3088054,2712127,1571107,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1572193,893889,504308,282781,282780,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573366,1017244,1016143,572797,320801,320800,572791,325056,325058,576128,1022489,1016110,572773,320792,177479,177477,320789,572639,320724,320723,572635,1015881,1781449,1781808,1806023,1780717,1015407,572362,572363,1015412,1780723,1780313,1780314,3055203,3069274,1789417,1020374,574949,574947,1020371,1789413,1778574,1014017,571569,320183,177174,97625,97622,177159,320152,571513,1013906,254175991,577820,577821,1025461,1797104,3079426,5041797,5041796,3077276,3077279,3078924,3078922,3086621,1802237,1802236,3086618,5087423,5064815,5064814,5076906,5076904,5056912,5056066,5056065,7937218,5047504,5046239,3056668,1796907,1796908,3057432,5047247,5048790,7938832,254564971,5085475,5047303,3057468,1782070,1782069,3057465,5047299,4127707,4127708,6588440,267988345,11889815,7949617,254377447,3062924,5055779,3063460,3063461,267900651,255139493,11875969,11875970,16964035,255125798,11673498,11673499,7951669,7951668,11678369,7786874,7786873,7574917,4790947,4790945,4934443,4933533,4933532,4938208,4938209,7788738,11680495,7788742,7788743,267983885,4934448,4934447,7784193,7787307,4937054,2979011,1729226,983025,983026,982109,982110,1727631,2976699,3298765,5365937,7787994,7787993,4943115,4943114,7795519,11689170,268237543,16719306,11677604,7786225,7786226,7792729,4941018,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,1730652,2981331,2981332,4940562,7792190,7785580,7785583,11676954,8348527,5388387,5388389,8348530,12356556,16954318,11886821,11886823,15667181,11929557,7982854,5080663,3081560,3081562,5080669,7982865,11682690,11682692,16724613,22960428,29553133,29553134,30651217,23246443,18822269,254382990,17022152,11947891,11947890,16970423,23240058,23249603,23249601,23274921,23233997,17015216,11930514,11930513,11912297,11912296,11884536,7945375,7945373,10835025,10835024,15653897,21694196,17522828,12357391,8349231,8349232,12357394,14389743,9895572,6502991,4074918,4074917,6502990,6482956,6482955,9868968,9876265,9876267,14370350,9881915,9881917,14361688,9868397,6482521,4062112,2431094,1406190,800212,453541,453544,453581,255700,141634,77628,42321,42319,77615,141606,255651,453485,800004,800003,812099,1406252,800245,800244,1406247,2431172,4062244,6482716,6482776,4062292,2431195,1406259,1406260,2431197,254468837,6491821,9881064,14375059,14375054,14375055,20047963,20047962,20047949,255739433,35015709,35015728,35015725,35015724,268825759,55248658,55240831,269635393,35015726,35015615,35015616,35015723,35015722,35015719,26934282,26934283,35015721,44391909,55240618,48859820,48859821,55240830,67582412,60252646,268963189,30354119,30354117,38940320,48859819,60252645,72988151,86585365,100546489,100546488,100546497,109361945,123553375,137285469,150327147,150327148,141019689,127671573,127671572,127671574,113803532,271802467,127671580,113803538,113803537,127671578,141019693,153685805,164539992,164246515,152699705,140002880,126648103,113803539,113803540,126283210,112420412,112420413,126283212,127670886,127670887,127670885,113802839,99789000,99789001,112420407,98432038,85836903,85836902,99789689,113803546,116592641,112789964,98797689,98797688,99789005,98797687,98797686,86987386,84869335,84869334,74848139,62049887,62049888,74848141,88483923,99124123,99124130,88483800,74848016,62049788,268907102,40520927,50557280,62049790,258921647,97985620,85201550,71636784,58916123,47535037,47535036,47431518,47431519,58817930,58817937,47431523,37524022,37524023,47431524,47431532,47431531,37524037,28980310,21698183,15658527,10839731,10839730,15658526,21698181,28980307,37524032,37524034,28980308,28980309,37524036,257469237,47534999,37628923,37628922,37628933,46416886,47535011,47535003,37628927,37628926,47535002,41748976,41748977,41748980,41748979,52062768,63880936,76991499,90869913,78325870,78325872,271075765,105049038,119241815,120916860,106663909,92359481,78325867,65045877,53062838,42615052,42615054,53062842,65045879,258915869,92359492,92359493,97970476,84096936,84096937,84096934,70560608,70560607,84096913,84096914,97970484,87031264,73413562,60665623,60665624,60665633,49264449,49264448,60665631,73413574,72846854,72846855,72846863,60110541,48715767,48715765,60110537,72846857,86441306,100396944,98771147,84844340,71270411,71270412,67689822,58538792,47150395,40252111,37245053,28714038,21458414,21458415,28714040,34662713,34662714,43936528,38585056,38584832,38584833,255606968,22817855,30209801,32096573,32096572,37958817,29394191,23542372,17234015,12115248,12115246,14943883,10278469,10278468,11753128,7847514,4981466,4981467,7847518,11753139,11461213,11461212,16449353,22637797,28848925,21577292,15554168,15554167,21577291,28848922,37388832,37712194,47634410,59036645,71779075,84618802,84618803,77272987,77272986,84618804,84618805,269778972,71054473,259298616,94385938,80331723,66905083,66905084,58338488,46970519,37088981,28584084,21354130,255828663,35126284,27039320,27039319,28725723,21899600,21899601,26642461,34633063,34633413,42333147,34633421,34633420,27039336,20146459,14451833,9942628,9942629,14451835,20146462,27039341,35126315,44503920,55350139,55350140,44504200,35126573,35126572,44504198,55350450,67689859,270660727,95212604,109467114,109467117,109467116,119690577,114907094,100856499,100856498,114907093,109467112,105452490,91230894,77311671,64163648,52312121,52312122,64163650,77311674,91230900,105452487,105452488,105452493,119690580,114907087,100856493,100856492,114907086,119690579,119690578,128804091,128804092,128804088,128804085,128804086,142158636,261785193,128804090,114907018,100856413,100856412,100856410,100856411,114907016,114907090,100856495,86875713,73263481,73263482,86875715,73263484,60517977,60517978,73263486,86875641,73263400,73263399,60517976,49115783,39187046,39187047,49115785,60517888,60517890,60517889,73263404,258200735,49115694,39186955,30589482,30589481,39186953,49115692,49115793,39187049,30589591,256467275,49115791,60517981,60517973,60517974,60517972,49115780,46386915,46386914,46508091,36640809,28165704,20985583,20985584,20985585,255799489,20890762,14987183,254708633,4255898,2544231,1465767,1465768,2544238,4255912,6788466,4255838,2696487,2533997,2534001,4238175,254705807,14953695,254918488,254443006,9356171,10324973,10324974,14994129,18680702,13287824,9070796,5931535,5931538,9070798,6774053,4421611,4421613,6762082,6762081,8871051,8871052,10382118,15056416,20912086,19689314,14116890,9712152,6389468,6389469,9712154,255309249,21514044,268370262,23482784,30920025,30920024,23482782,23482783,23482791,255990457,39530486,33243297,25492961,18888393,13460386,13460385,18888391,25492957,33243290,33243281,25492951,18888386,18888387,25492953,33243283,33243342,270390436,33243332,25492989,256131275,42204902,52565366,64440660,77608994,74190472,61411394,61411393,74190470,87794153,259035379,77608974,91538356,87794169,74190481,61411398,49932778,256512855,255557383,17429028,23755473,31238980,39914453,257641961,258850535,270363185,42204869,33243309,33243308,42204866,52565334,64440633,74190464,61411387,49932770,49932769,258250981,87794135,87794136,74190438,61411371,49932761,49932762,61411374,74190444,74367582,61591163,50111176,40090648,40090649,50111171,50111172,60867271,73617686,87239314,98719635,98719634,112714978,112714993,98719655,84792063,84792065,98719652,84792057,71223408,71223409,84629812,71066421,58501653,58501652,58501648,47123103,47123105,47123126,47123125,47123071,37225355,28699439,21447483,15450728,10682788,7056905,4442677,2668625,2668626,4442678,254734603,15450742,21447501,255329446,21447488,28590431,28590432,37097056,46980673,47123051,37225302,28699395,28699396,37225304,47123054,47123060,37225310,37225309 Dl.O(d2) = 47123049,58501610,71223364,84792011,88109326,260697283,101589996,101589995,87622939,74018883,61238288,49759310,257628877,74018878,87622930,101589989,99346046,85402074,85402075,99346043,101589975,87622948,87622947,87622928,74018877,74018876,61238300,49759316,39740685,31062750,23578980,23578979,31062748,39740679,49759306,61238283,74018869,87622895,74018898,61238303,49759318,39740689,39740690,49759320,54870929,44070576,34753879,26733841,19898816,14254682,14254681,14121237,9715249,6586227,4126393,2468422,2468421,4126389,6586220,10020838,14562725,20293759,20934245,15026147,14598285,14598289,17864522,14915049,10255633,6738932,4222615,4222614,6738953,10255673,14915112,20810950,27974517,20943936,17034956,11949415,11949416,9352111,267956454,25990011,22722362,16517263,16514893,16514892,20354886,20354885,27277166,20341382,20341383,22724267,16519063,11512370,11512369,15050843,15050842,20831604,20831603,27995850,29725667,29725666,38292491,39941549,256013638,23781528,31266653,39941550,49958631,61436620,49958614,39941534,39941533,39941552,37750032,29188696,21876865,15801478,255433035,29188700,37750038,257484143,71813664,73358621,86969834,85402636,71813835,71813836,71813970,71813827,59072466,59072467,71813831,74215732,74215731,73358652,60614100,49213537,39286997,30689804,30689805,39286974,39286975,49213496,60614037,73358582,85408841,85408842,99352104,86969778,73358575,73358576,86969780,85405661,71817016,59075583,59075584,49958458,39941440,39941439,49958453,60624997,73370636,84961524,85049804,74761630,74215745,74215716,74023423,74023421,87627397,85112170,71540621,59075399,47674965,37752540,37752541,47674966,59075403,49223763,39296750,39296749,39286997,30689804,30689805,39286974,39286976,49213501,60614050,60683932,60683933,71813858,59072487,47672298,47672300,49223899,42657061,33628227,33628228,42657066,257822321,72476823,59741610,48358112,38456435,38456434,48358101,58651640,47259849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13639155, s2 = 8363139, dlinesl.size( ) = 8 s1 = 2322718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14633097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8653934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1909995, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8009263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8009263, s2 = 13416235, int(edited[s2]) = 0 s1 = 8009263, s2 = 13416235, d1 = 1, d2 = 1 Dl.O(d1) = 1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467380,27467378,27928756,20778000,20777997,20777943,20777942,27867601,36280093,34174047,34174045,43265225,53782722,65844100,55802844,256768935,35434505,44873406,55802842,68230332,81754968,95821260,110043503,124173866,137817793,137817794,150765659,150765660,162824679,173802227,183558565,192094371,185766317,185766318,185766319,176320757,165649809,153870442,141195331,261183533,113953655,99930669,85972957,72378035,59643542,48256755,38346377,29775010,22411175,16247438,254778141,4740693,2857038,1658106,943434,943433,1164590,1164592,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428675,4057634,4891073,4891074,7727167,11607381,254573114,7739468,7582108,7582109,7867149,11782846,15931217,15931218,254463610,11626466,11054121,7329598,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294986,2233004,2955328,1713661,973733,548221,548222,973741,1713680,2955360,4903346,254212902,7585113,254784231,16397275,255495799,16420324,255448534,11109207,16001875,11411680,7583341,4796563,4796562,2891982,2891980,4797874,4797762,4274191,4274192,4274513,4274512,4905489,7746453,7683272,7683273,6542543,4098937,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,457043,806498,806497,1417611,2452077,4099096,4740691,7499635,11295845,15028853,15022631,10350448,10350449,11533329,7672837,6842694,6842693,6842695,9093680,10314628,6797976,6797973,10293055,10293054,14960407,20862152,256272749,46349548,57698720,70392631,83918654,97776725,111698200,261049089,150376658,137334838,123602698,259786135,81097797,257909019,44449871,35075082,26990861 Dl.O(d2) = 1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467380,27467378,27928756,20778000,20777997,20777943,20777942,27867601,36280093,34174047,34174045,43265225,53782722,65844100,55802844,256768935,35434505,44873406,55802842,68230332,81754968,95821260,110043503,124173866,137817793,137817794,150765659,150765660,162824679,173802227,183558565,192094371,185766317,185766318,185766319,176320757,165649809,153870442,141195331,261183533,113953655,99930669,85972957,72378035,59643542,48256755,38346377,29775010,22411175,16247438,254778141,4740693,2857038,1658106,943434,943433,1164590,1164592,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428675,4057634,4891073,4891074,7727167,11607381,254573114,7739468,7582108,7582109,7867149,11782846,15931217,15931218,254463610,11626466,11054121,7329598,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294986,2233004,2955328,1713661,973733,548221,548222,973741,1713680,2955360,4903346,254212902,7585113,254784231,16397275,255495799,16420324,255448534,11109207,16001875,11411680,7583341,4796563,4796562,2891982,2891980,4797874,4797762,4274191,4274192,4274513,4274512,4905489,7746453,7683272,7683273,6542543,4098937,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,457043,806498,806497,1417611,2452077,4099096,4740691,7499635,11295845,15028853,15022631,10350448,10350449,11533329,7672837,6842694,6842693,6842695,9093680,10314628,6797976,6797973,10293055,10293054,14960407,20862152,256272749,46349548,57698720,70392631,83918654,97776725,111698200,261049089,150376658,137334838,123602698,259786135,81097797,257909019,44449871,35075082,26990861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8009263, s2 = 13416235, dlinesl.size( ) = 2 s1 = 8009263, s2 = 13416235, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8009263, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 14056328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8592932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13384947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8284185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8337987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6508724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6997077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2593955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14940561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14940561, s2 = 3643069, int(edited[s2]) = 0 s1 = 14940561, s2 = 3643069, d1 = 13, d2 = 11 Dl.O(d1) = 256710573 Dl.O(d2) = 126286560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14940561, s2 = 3643069, dlinesl.size( ) = 20 s1 = 1780353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14911573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14911573, s2 = 9073699, int(edited[s2]) = 0 s1 = 14911573, s2 = 9073699, d1 = 1, d2 = 1 Dl.O(d1) = 100039725,114066206,127946068,127946091,114066238,100039748,86076772,72478724,59743461,48359744,38457956,38457955,48359742,59743458,59743461,48359744,38457956,29901206,22545796,16370116,11392526,11392525,16370115,22545795,29901205,28438062,21212874,20885381,20885382,28054553,28438160,21212958,15245426,10517377,10517379,15245436,18858722,15245508,10517409,6935962,6935965,10517419,15245530,21213123,15559827,15558373,15558374,21582289,18571543,13197183,13197184,18571547,21583925,21582175,255043237,10761475,10761693,15558618,10761780,7110641,7110642,10761782,15558761,21582829,28855525,37396318,47305788,58696159,55444322,44594112,35213428,27121027,21582960,15558837,15558838,21582962,28855728,255715872,17050363,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213436,44594134,37395151,37395150,47304575,49799846,49799845,49799129,39779496,39779495,39330190,39330191,47305937,47305938,58696284,58696277,58696276,59310679,72046055,74058305,61278559,49800021,48261513,38350603,29778343,22413627,16249195,11296965,11296966,16249198,22413635,29778359,256478520,256478518,255977176,52526094,42168068,33208110,25460351,255928890,268231534,268243932,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,30802527,28283126,28283127,36779309,46664618,58037313,49799704,49799703,49336537,39407099,39407100,49336540,268901010,255782396,47257786,47257787,257023390,47257840,47257839,42167674,33207665,33207666,42167676,47166255,37260390,28728483,21471218,21471220,254650146,47166257,37348348,28809804,21542079,268707466,7094245,10737461,255328886,12019878,8079132,5174173,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252525,3760231,6012332,9186198,11392528,7569311,4786887,4786886,7568326,7079263,4457031,2677540,1550954,1550955,2677543,2677284,1550813,1550814,2677286,1604192,1604194,2767253,4456623,4456624,4785919,4785920,7568306,4786411,2884743,2884742,2677665,2677664,2883730,2883726,4785243,2884764,2884765,4786432,7079682,4457320,2677699,2677698,4457318,7079439,4457141,2677596,1550988,881785,881787,1550998,1550915,1550914,2677467,4456926,4457133,7079206,7569088,7567384,4785111,4785114,7567372,11390164,16367066,16367299,16367297,15495703,15495702,15495696,10716165,10716166,15495700,15818213,11391224,7568248,7568245,11391219,16367065,16367098,11390199,11390200,10715371,7079155,7079156,7567639,7567640,10714899,15494191,15495350,15495349,21502165,21501340,15494087,10714791,10714792,15494090,21501342,21503349,18693849,18693850,25265311,32988814,28763095,21503279,21503278,28763092,37296083,36972798,28474838,21255201,21255203,15888716,11014245,7291296,4597921,2766084,2766085,4597928,7291312,11014275,11390067,16366980,15888679,15888680,15888729,12309862,12309798,12309797,15494952,10715537,255039203,21502392,28762057,29901156,29898100,22542618,16367264,16367265,22542620,28763310,31289978,37523701,28980029,256347287,32648607,24976958,24976959,32648609,41536221,35237472,27141637,20233703,20233704,27141638,35237473,44619711,49968584,39951834,31276901,23791129,21137109,21136284,21136285,28349501,36846737,46729611,50050453,40030288,31349757,23855616,17512340,12348994,8343307,8343306,12348992,17512325,23855581,31349704,40030196,48657803,38736625,30154314,30154316,38736627,48657806,60054300,72792738,86388497,100345549,114369878,128247324,128247321,114369873,100345547,86388494,72792736,60054298,48657801,48657800,60054293,72792730,86388489,100345542,98522913,84597841,84597843,86387925,72792164,60053659,60053661,50050426,40030270,31349747,23855608,17512337,17512338,23855612,31349751,40030277,50050437,61529879,60053075,48656676,48656678,60053078,72791592,86387387,87911458,87911459,101885903,101885908,115932218,126388552,269356192,84597840,71033484,58317789,46950833,256317507,21340953,21340954,28568494,37071045,46950836,58317791,71033487,84597849,72792168,60053667,48657187,48657186,50050836,50050833,61530280,256434900,61529864,50050429,40030272,40030274,50050431,61529875,74307492,74307519,61529899,50050452,50050451,61529896,74307513,87911465,101885905,101885892,87911453,87911454,100345275,88333914,74706346,61913017,61913020,74706349,87911433,257559408,114369602,100345249,86388203,72792466,72792467,86388207,100345000,100344998,86387927,74307847,74307843,87911733,87911420,74307485,74307486,74307490,61529870,61529869,74307488,87911426,258168284,129832028,143163768,155717731,155050056,143587237,130259023,129832036,115932209,115932208,102329729,88333922,74706356,74706354,88333919,258792038,258644747,57993275,46617214,36729317,28235136,21037446,15110634,255376439,28235141,36729323,257410179,70710117,84261412,98155414,112114801,125948684,139298008,152005223,155717745,162645146,259271242,137495243,128247147,114369704,100345356,100345359,114369706,128247154,125948660,112114783,98155392,272170010,46617211,36729313,28235132,21037444,255803677,36729310,257410177,57993288,70710115,84261409,98155412,112114799,261071281,149420228,161711005,259890176,154254639,141598257,141598256,258020232,128247150,270280750,163873613,152005211,139297994,259890178,143587241,143587242,149420221,136170629,261518575,260955614,107803105,93381232,79254490,65891595,53823916,269574739,93381234,107803107,122208013,136170634,149420231,161711009,273486321,198863639,264404729,214656831,264910790,210389602,205168271,198863636,263414112,273042108,149420223,260955612,122208007,136170632,136170635,122208019,107803110,93381236,79254493,65891598,53823921,43298737,43298736,53823918,65891586,257268002,43298730,53823912,65891589,79254486,93381228,107803102,114556240,100525432,259109804,269577654,38911268,30324286,30324287,38911270,48832418,53885334,257862689,79316224,93447342,107875662,259737588,270598301,79254500,257862686,43298739,34200717,26327597,26327596,34200714,43298733,53823914,270069029,271114163,122208004,136170626,122290194,107875663,259106622,65952122,53885338,43361191,34261194,26383286,19648709,255717787,34261197,43361173,269577679,79316202,93447320,260355403,136170647,141598164,141598165,154254572,166007548,176648786,173666764,262269992,137495249,123770811,109580368,95324942,95324941,95324943,95324944,260355398,259106618,65952091,53885303,43361168,34261184,26383278,26383280,34261188,43361177,53885316,65952099,79316205,259740973,260955611,272226264,123770800,114369608,100345256,100345258,114369610,128247050,261756605,143163925,143163926,155717852,150525661,137495247,123770809,109580364,95324940,81265314,67797220,67797221,81265318,95324946,87911536,87911535,86387390,72791595,270339563,93447317,79316199,65952095,53885310,43361172,43361171,53885308,65952092,258791998,60054002,72791582,72791583,81265312,95324936,109580355,100345261,86388212,72792472,60054015,60054014,258792043,100345255,114369605,128247044,141598163,154254569,166007545,176648784,177849191,167352244,155717855,143163931,129832240,260033254,87911743,259507371,115932414,129832238,136265138,122290164,107875643,93447312,79316195,79316196,93447315,95324948,81265320,67797225,55455269,44606618,44606617,55455266,55455258,48657496,38736391,30154163,30154162,38736388,48657493,258168359,86388214,86387392,72791598,60053083,48656687,48656688,60053086,50050845,40030589,31349993,23855806,17512507,17512506,23855803,31349990,40030584,50050843,61530290,74307855,87911747,101886125,260719113,260855050,134811768,121014852,106761469,92456134,78420129,65138269,53153159,44606620,35225730,27131789,20226189,20226188,27131785,35225725,44606610,55455261,60054009,48657490,48657491,60053291,48656845,38735863,30153734,22765677,16552078,16552077,22765675,30153731,31349988,23855801,17512505,255493280,5385207,8343392,12349119,17512514,23855818,26654723,26654722,22714703,16510476,16510477,14210529,14210530,12570832,12570829,16166884,11234349,11234348,11236180,7457205,7457208,11234337,8509234,5509719,5509718,8509230,5535544,4946029,2985153,1733108,1733109,2985157,4945987,2985136,2985137,4945990,267848566,3435380,3435379,5550289,8552598,11158479,8552168,8552167,254617547,3474399,2061201,1182922,664447,664446,1182921,2061199,2015163,2015164,3376913,3376912,254299649,2253520,1307866,1307865,2253522,3761763,3392388,2046590,2022518,2022519,3423659,3423657,3423690,254415847,2036488,2036487,3441139,5556674,7899229,11820989,16892707,23153947,30571570,39169751,49100112,60504336,73251375,84054252,70519093,57817746,46461551,36595226,28122065,268243222,10364128,6827380,6827381,267837137,1793004,1793006,3073732,5068354,3084252,3073203,1792541,1022416,576073,576074,1022418,1792545,1028451,579510,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1783539,3059257,1783545,1783544,3059428,1783606,1021203,1021202,1031983,1031985,1806871,3092500,3070842,1790666,1790665,1806722,1778272,1013827,571470,320135,177151,177150,320132,571465,1013817,575900,575901,1022107,1792083,3072684,5069011,7967124,11910655,16996295,23259248,30675402,27006684,20115588,14425876,9923350,9923335,9923337,14425856,20115554,27006632,25990102,256165155 Dl.O(d2) = 100039725,114066206,127946068,127946091,114066238,100039748,86076772,72478724,59743461,48359744,38457956,38457955,48359742,59743458,59743461,48359744,38457956,29901206,22545796,16370116,11392526,11392525,16370115,22545795,29901205,28438062,21212874,20885381,20885382,28054553,28438160,21212958,15245426,10517377,10517379,15245436,18858722,15245508,10517409,6935962,6935965,10517419,15245530,21213123,15559827,15558373,15558374,21582289,18571543,13197183,13197184,18571547,21583925,21582175,255043237,10761475,10761693,15558618,10761780,7110641,7110642,10761782,15558761,21582829,28855525,37396318,47305788,58696159,55444322,44594112,35213428,27121027,21582960,15558837,15558838,21582962,28855728,255715872,17050363,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213436,44594134,37395151,37395150,47304575,49799846,49799845,49799129,39779496,39779495,39330190,39330191,47305937,47305938,58696284,58696277,58696276,59310679,72046055,74058305,61278559,49800021,48261513,38350603,29778343,22413627,16249195,11296965,11296966,16249198,22413635,29778359,256478520,256478518,255977176,52526094,42168068,33208110,25460351,255928890,268231534,268243932,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,30802527,28283126,28283127,36779309,46664618,58037313,49799704,49799703,49336537,39407099,39407100,49336540,268901010,255782396,47257786,47257787,257023390,47257840,47257839,42167674,33207665,33207666,42167676,47166255,37260390,28728483,21471218,21471220,254650146,47166257,37348348,28809804,21542079,268707466,7094245,10737461,255328886,12019878,8079132,5174173,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252525,3760231,6012332,9186198,11392528,7569311,4786887,4786886,7568326,7079263,4457031,2677540,1550954,1550955,2677543,2677284,1550813,1550814,2677286,1604192,1604194,2767253,4456623,4456624,4785919,4785920,7568306,4786411,2884743,2884742,2677665,2677664,2883730,2883726,4785243,2884764,2884765,4786432,7079682,4457320,2677699,2677698,4457318,7079439,4457141,2677596,1550988,881785,881787,1550998,1550915,1550914,2677467,4456926,4457133,7079206,7569088,7567384,4785111,4785114,7567372,11390164,16367066,16367299,16367297,15495703,15495702,15495696,10716165,10716166,15495700,15818213,11391224,7568248,7568245,11391219,16367065,16367098,11390199,11390200,10715371,7079155,7079156,7567639,7567640,10714899,15494191,15495350,15495349,21502165,21501340,15494087,10714791,10714792,15494090,21501342,21503349,18693849,18693850,25265311,32988814,28763095,21503279,21503278,28763092,37296083,36972798,28474838,21255201,21255203,15888716,11014245,7291296,4597921,2766084,2766085,4597928,7291312,11014275,11390067,16366980,15888679,15888680,15888729,12309862,12309798,12309797,15494952,10715537,255039203,21502392,28762057,29901156,29898100,22542618,16367264,16367265,22542620,28763310,31289978,37523701,28980029,256347287,32648607,24976958,24976959,32648609,41536221,35237472,27141637,20233703,20233704,27141638,35237473,44619711,49968584,39951834,31276901,23791129,21137109,21136284,21136285,28349501,36846737,46729611,50050453,40030288,31349757,23855616,17512340,12348994,8343307,8343306,12348992,17512325,23855581,31349704,40030196,48657803,38736625,30154314,30154316,38736627,48657806,60054300,72792738,86388497,100345549,114369878,128247324,128247321,114369873,100345547,86388494,72792736,60054298,48657801,48657800,60054293,72792730,86388489,100345542,98522913,84597841,84597843,86387925,72792164,60053659,60053661,50050426,40030270,31349747,23855608,17512337,17512338,23855612,31349751,40030277,50050437,61529879,60053075,48656676,48656678,60053078,72791592,86387387,87911458,87911459,101885903,101885908,115932218,126388552,269356192,84597840,71033484,58317789,46950833,256317507,21340953,21340954,28568494,37071045,46950836,58317791,71033487,84597849,72792168,60053667,48657187,48657186,50050836,50050833,61530280,256434900,61529864,50050429,40030272,40030274,50050431,61529875,74307492,74307519,61529899,50050452,50050451,61529896,74307513,87911465,101885905,101885892,87911453,87911454,100345275,88333914,74706346,61913017,61913020,74706349,87911433,257559408,114369602,100345249,86388203,72792466,72792467,86388207,100345000,100344998,86387927,74307847,74307843,87911733,87911420,74307485,74307486,74307490,61529870,61529869,74307488,87911426,258168284,129832028,143163768,155717731,155050056,143587237,130259023,129832036,115932209,115932208,102329729,88333922,74706356,74706354,88333919,258792038,258644747,57993275,46617214,36729317,28235136,21037446,15110634,255376439,28235141,36729323,257410179,70710117,84261412,98155414,112114801,125948684,139298008,152005223,155717745,162645146,259271242,137495243,128247147,114369704,100345356,100345359,114369706,128247154,125948660,112114783,98155392,272170010,46617211,36729313,28235132,21037444,255803677,36729310,257410177,57993288,70710115,84261409,98155412,112114799,261071281,149420228,161711005,259890176,154254639,141598257,141598256,258020232,128247150,270280750,163873613,152005211,139297994,259890178,143587241,143587242,149420221,136170629,261518575,260955614,107803105,93381232,79254490,65891595,53823916,269574739,93381234,107803107,122208013,136170634,149420231,161711009,273486321,198863639,264404729,214656831,264910790,210389602,205168271,198863636,263414112,273042108,149420223,260955612,122208007,136170632,136170635,122208019,107803110,93381236,79254493,65891598,53823921,43298737,43298736,53823918,65891586,257268002,43298730,53823912,65891589,79254486,93381228,107803102,114556240,100525432,259109804,269577654,38911268,30324286,30324287,38911270,48832418,53885334,257862689,79316224,93447342,107875662,259737588,270598301,79254500,257862686,43298739,34200717,26327597,26327596,34200714,43298733,53823914,270069029,271114163,122208004,136170626,122290194,107875663,259106622,65952122,53885338,43361191,34261194,26383286,19648709,255717787,34261197,43361173,269577679,79316202,93447320,260355403,136170647,141598164,141598165,154254572,166007548,176648786,173666764,262269992,137495249,123770811,109580368,95324942,95324941,95324943,95324944,260355398,259106618,65952091,53885303,43361168,34261184,26383278,26383280,34261188,43361177,53885316,65952099,79316205,259740973,260955611,272226264,123770800,114369608,100345256,100345258,114369610,128247050,261756605,143163925,143163926,155717852,150525661,137495247,123770809,109580364,95324940,81265314,67797220,67797221,81265318,95324946,87911536,87911535,86387390,72791595,270339563,93447317,79316199,65952095,53885310,43361172,43361171,53885308,65952092,258791998,60054002,72791582,72791583,81265312,95324936,109580355,100345261,86388212,72792472,60054015,60054014,258792043,100345255,114369605,128247044,141598163,154254569,166007545,176648784,177849191,167352244,155717855,143163931,129832240,260033254,87911743,259507371,115932414,129832238,136265138,122290164,107875643,93447312,79316195,79316196,93447315,95324948,81265320,67797225,55455269,44606618,44606617,55455266,55455258,48657496,38736391,30154163,30154162,38736388,48657493,258168359,86388214,86387392,72791598,60053083,48656687,48656688,60053086,50050845,40030589,31349993,23855806,17512507,17512506,23855803,31349990,40030584,50050843,61530290,74307855,87911747,101886125,260719113,260855050,134811768,121014852,106761469,92456134,78420129,65138269,53153159,44606620,35225730,27131789,20226189,20226188,27131785,35225725,44606610,55455261,60054009,48657490,48657491,60053291,48656845,38735863,30153734,22765677,16552078,16552077,22765675,30153731,31349988,23855801,17512505,255493280,5385207,8343392,12349119,17512514,23855818,26654723,26654722,22714703,16510476,16510477,14210529,14210530,12570832,12570829,16166884,11234349,11234348,11236180,7457205,7457208,11234337,8509234,5509719,5509718,8509230,5535544,4946029,2985153,1733108,1733109,2985157,4945987,2985136,2985137,4945990,267848566,3435380,3435379,5550289,8552598,11158479,8552168,8552167,254617547,3474399,2061201,1182922,664447,664446,1182921,2061199,2015163,2015164,3376913,3376912,254299649,2253520,1307866,1307865,2253522,3761763,3392388,2046590,2022518,2022519,3423659,3423657,3423690,254415847,2036488,2036487,3441139,5556674,7899229,11820989,16892707,23153947,30571570,39169751,49100112,60504336,73251375,84054252,70519093,57817746,46461551,36595226,28122065,268243222,10364128,6827380,6827381,267837137,1793004,1793006,3073732,5068354,3084252,3073203,1792541,1022416,576073,576074,1022418,1792545,1028451,579510,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1783539,3059257,1783545,1783544,3059428,1783606,1021203,1021202,1031983,1031985,1806871,3092500,3070842,1790666,1790665,1806722,1778272,1013827,571470,320135,177151,177150,320132,571465,1013817,575900,575901,1022107,1792083,3072684,5069011,7967124,11910655,16996295,23259248,30675402,27006684,20115588,14425876,9923350,9923335,9923337,14425856,20115554,27006632,25990102,256165155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14911573, s2 = 9073699, dlinesl.size( ) = 2 s1 = 14911573, s2 = 9073699, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14911573, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 2491300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6693804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6693804, s2 = 7583469, int(edited[s2]) = 0 s1 = 6693804, s2 = 7583469, d1 = 15, d2 = 11 Dl.O(d1) = 257439535,257758739 Dl.O(d2) = 268482439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6693804, s2 = 7583469, dlinesl.size( ) = 2 s1 = 6693804, s2 = 7583469, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6693804, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 13218589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9148181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1911293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2002615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11208030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208030, s2 = 10349029, int(edited[s2]) = 0 s1 = 11208030, s2 = 10349029, d1 = 14, d2 = 9 Dl.O(d1) = 261087680,54662126,58798905,47411970,47411971,58798906,71528007,85099351 Dl.O(d2) = 257238478,269102761,25959766,25959767,33768611,36464688,32768370,25761362,19122156,13652851,9349027,6123560,6123561,9349029,13652855,19122165,268501095,28981746,28981747,37525639,40868424,40868423,32702245,25018603,18488575,18488576,18529080,25071369,28102100,27285348,20926161,20926159,22638649,30009636,31765177,29912645,29912642,32095932,29824274,29824273,22457045,16289128,11332465,7530262,7530259,11332455,256320683,7026215,7026216,271769831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208030, s2 = 10349029, dlinesl.size( ) = 2 s1 = 11208030, s2 = 10349029, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11208030, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 2841874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9791301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8238709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8238709, s2 = 14218015, int(edited[s2]) = 0 s1 = 8238709, s2 = 14218015, d1 = 0, d2 = 0 Dl.O(d1) = 58912406,71632951,256911434,39753460,31075844,23592504,23592503,31075847,39753466,256911436,61875087,61250569,61250568,74030473,87634058,74542834,61759166,61759165,60836160,49434269,39503120,30895674,23462549,17183621,17183622,255631132,23462674,17183698,12082481,8124978,5205343,5205342,8124975,12082474,17183687,23462656,30895816,39503282,44489291,39503280,30895814,30895815,256672464,27107214,20206782,20206781,20133649,14440233,268175505,27025864,35112253,44489290,52522957,42164579,255540692,25457257,18860671,13437818,9187267,9187266,7110632,254337295,1558159,1558160,2689868,4477086,7110644,10761787,255413365,28855539,29358247,22027817,22027818,18856783,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619039,23619038,31103900,34648027,26656755,21582836,15558768,15558767,21582834,28855530,268924379,49800037,61277967,61277959,49798628,39778810,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,17303839,17303840,23617520,31101861,38350405,48261302,59648542,49256924,49256923,60657314,49799385,39779786,39779787,48261598,38350722,29778485,22413713,16249243,16249242,22413710,29778480,38350717,256478422,49799510,49798572,49798573,61277940,59310666,47916635,47916634,49799157,255976922,23617662,23617663,255143612,48351344,38449128,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,34111615,36779276,28283091,23617307,23617305,23617223,23617224,30803019,25460452,18860442,18860443,25460458,33207018,39330322,49256913,60657293,61278293,52519698,52519686,42161475,39407253,30802651,23374994,23374993,30802646,39407248,268492770,23314023,23314024,30732971,35080479,26995590,20104645,14414833,9913849,9913850,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252524,3760228,6012321,9186179,13436077,254575880,13173074,18539420,25083431,32780817,41697216,52008979,61793330,50313344,40292489,31609460,24107250,17748460,12558266,8514365,8514364,8514366,5568785,5568787,5568799,267847627,2008655,1148495 Dl.O(d2) = 58912406,71632951,256911434,39753460,31075844,23592504,23592503,31075847,39753466,256911436,61875087,61250569,61250568,74030473,87634058,74542834,61759166,61759165,60836160,49434269,39503120,30895674,23462549,17183621,17183622,255631132,23462674,17183698,12082481,8124978,5205343,5205342,8124975,12082474,17183687,23462656,30895816,39503282,44489291,39503280,30895814,30895815,256672464,27107214,20206782,20206781,20133649,14440233,268175505,27025864,35112253,44489290,52522957,42164579,255540692,25457257,18860671,13437818,9187267,9187266,7110632,254337295,1558159,1558160,2689868,4477086,7110644,10761787,255413365,28855539,29358247,22027817,22027818,18856783,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619039,23619038,31103900,34648027,26656755,21582836,15558768,15558767,21582834,28855530,268924379,49800037,61277967,61277959,49798628,39778810,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,17303839,17303840,23617520,31101861,38350405,48261302,59648542,49256924,49256923,60657314,49799385,39779786,39779787,48261598,38350722,29778485,22413713,16249243,16249242,22413710,29778480,38350717,256478422,49799510,49798572,49798573,61277940,59310666,47916635,47916634,49799157,255976922,23617662,23617663,255143612,48351344,38449128,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,34111615,36779276,28283091,23617307,23617305,23617223,23617224,30803019,25460452,18860442,18860443,25460458,33207018,39330322,49256913,60657293,61278293,52519698,52519686,42161475,39407253,30802651,23374994,23374993,30802646,39407248,268492770,23314023,23314024,30732971,35080479,26995590,20104645,14414833,9913849,9913850,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252524,3760228,6012321,9186179,13436077,254575880,13173074,18539420,25083431,32780817,41697216,52008979,61793330,50313344,40292489,31609460,24107250,17748460,12558266,8514365,8514364,8514366,5568785,5568787,5568799,267847627,2008655,1148495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8238709, s2 = 14218015, dlinesl.size( ) = 2 s1 = 8238709, s2 = 14218015, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8238709, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15064332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14202207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14202207, s2 = 9514353, int(edited[s2]) = 0 s1 = 14202207, s2 = 9514353, d1 = 9, d2 = 2 Dl.O(d1) = 149942807,162154101,158436288,146069547,132850979,119030976,104847132,90678710,76809556,63707156,51899275,41599081,32696827,25014413,25014412,254611808,28348447,36845645,30568582,30568583,39166358,49096521,49239991,39313200,39313202,42005087,33061395,33061396,39309763,39309764,49236528,51422129,51422116,257734781,48057587,41225096,41225095,39309770,30712108,30712107,29505236,22165402,22165403,29505241,38068616,38169635,48082498,59473160,57998353,46622343,46622342,52344020,47771304,47771305,59170316,48614196,38698683,38698684,48614197,48614207,38698694,30121640,30121642,37424338,47332719,58721320,59026598,59026599,71769598,70194744 Dl.O(d2) = 268401827,38155894,47162669,37418223,37418224,47326764,58715749,71446856,60131195,256903858,38816165,30232927,22840313,16618220,11591778,11591777,16618219,22840312,29558525,22213166,16081792,16081796,21872491,22212620,16081369,11168099,11168098,16081367,15899022,11021876,7297183,4602488,4602489,7297186,11021880,15899028,21998311,29328649,33310548,42290559,52676831,64577034,64577033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14202207, s2 = 9514353, dlinesl.size( ) = 2 s1 = 14202207, s2 = 9514353, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14202207, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7963653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7963653, s2 = 10144398, int(edited[s2]) = 0 s1 = 7963653, s2 = 10144398, d1 = 35, d2 = 27 Dl.O(d1) = 11682756,16724707,15016439,10344593,6810493,4271575,4271574,6810491,10344589,15016435,267904822,36570683,255990750,256280209,30361816,22960564,22960557,22960558,256452997,29243044,29243045,37807292,257489387 Dl.O(d2) = 256449558,59441307,48049436,38135887,38135886,48049434,59141767,47743050,37820774,268610010,55489689,67830889,72260282,59526731,59526732,70864807,70864808,63612032,51822913,48139760,47841189,38213161,34607708,34607707,31774824,24262510,17884544,12667871,12667872,17884546,24262515,24980738,24980737,22188979,22188980,17810057,12608541,255197965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7963653, s2 = 10144398, dlinesl.size( ) = 20 s1 = 9763139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14910522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14910522, s2 = 14074130, int(edited[s2]) = 0 s1 = 14910522, s2 = 14074130, d1 = 1, d2 = 2 Dl.O(d1) = 8922934,8667385,8667386,12725177,8646612,5623741,5623740,8646608,12725174,13093944,13093943,18434342,24950012,31874308,32615648,32615342,32615343,39912343,31236869,24950051,24950050,32615340,32615339,32615687,255634903,13093967,8922919,5822939,5822938,8922916,13093963,13093952,13093951,17990728,13093911,8922887,8922888,13093914,18434304,24949970,32615598,24950003,24950004,24349744,17957344,12725190,8646621,5623747,3493980,3493979,5623743,8646599,12725154,17957292,12725164,12725163,17957309,24349688,31874271,24950009,24950010,32615433,31874273,31874272,257059217,52890228,63546931,51767611,41496163,32615683,32615681,41496161,51767610,63546865,62078211,51767559,41496056,32615512,256607795,51330279,41144908,32330038,24714246,24714245,32330035,33487818,32615346,24949687,24949688,32615347,41495925,41495930,32615361,32615315,32615316,40578739,32615331,24949675,18434060,268017833,254901909,255634859,32615328,37352789,32615354,24949693,18434072,18434073,24949697,32615357,29573819,29573818,31918829,40634468,31918828,24386283,17986748,17986747,18241608,12939455,12939456,18241612,24714251,24714274,18241626,18241625,24714273,32330076,41144926,51330291,41496101,41496102,51330300,41144942,32330094,24714291,24714292,18389226,16103083,13625925,9330397,9330396,8922753,5822838,5822837,8922750,13093724,15528599,15528600,21545807,28813957,24949703,18434076,13093736,8922757,8922758,13093739,16093317,11177769,11177770,16093319,22226814,24950066,18434380,13093969,13093970,18434383,17772995,17772994,18434093,13093744,8922762,5822845,5822846,8922765,8802881,8802882,12939518,18241703,17942978,12714515,12714514,8802860,8802861,12939475,18241642,24521425,24950148,18434445,13094006,8922941,8922944,13094008,13625919,10739812,7095937,7095936,10739807,15528607,21545816,28813973,24950138,18434439,18241691,12939503,8802877,5734086,5734084,8802873,12939497,18241683,24714350,18241667,12939488,12939489,255622319,22009489,29341330,37910357,32599052,24936815,18424638,13087164,13087163,18424635,24936812,29341332,24950142,24950141,32615377,32615376,41495935,33248594,25497756,25497757,22009495,22009494,29341335,254968866,19854361,19854362,254968868,43937926,47832061,37910367,29341339,22009497,15907984,15907985,22009499,29341342,37910370,40332693,50359799,61843725,71387263,58652047,47260242,37350803,37350804,47260243,47260249,38215267,38215266,41145060,32330183,32330184,37910365,37910364,47832059,48050962,48050963,40332716,40332715,50359817,61843733,269338425,38140534,38140533,48054074,269808387,85554927,71967561,59229774,59229773,71967559,257514041,38140538,38140539,38140512,38140511,32331005,32331006,41146034,257729385,59229740,47832026,37910327,37910329,257497859,59445980,59513062,48125554,48125555,59445698,72183936,59445743,48054124,48054125,59445745,64446063,52571088,52571086,48054249,38140694,29574190,29574192,38140703,38949717,38949716,48869369,59445783,59445781,72183981,85778292,85776081,85776082,72997786,72997787,60262282,48869450,38949779,38949778,48869447,60262279,72183942,59445716,48054090,38140551,38140550,38140464,29574038,22227007,22227006,29574036,256673052,59445645,72183907,256673050,72180874,72180875,59443608,48052132,48052133,38140451,38140450,48053984,59445628,72181842,59443597,48052111,38138873,38138874,48052114,59442622,59442623,59443557,59443556,72181748,59443515,48052037,48052038,48053973,48052143,48052145,38141461,29574814,22227600,16093896,255895675,38138863,29572658,29572659,22225853,16092507,16092506,22225851,22227692,29574927,38141599,38138847,256933831,59443561,59446668,59446666,72181740,59446659,256934097,38139151,38137720,38137718,38139238,29572963,29572964,29571314,22224703,16091534,11176218,11176219,16091537,22224710,22225116,29571615,22224992,22224991,29571608,22225009,16091811,16091812,22224610,16091459,16091461,16091778,16091777,22224973,16091786,11176470,11176471,16091703,16091702,11176722,7415507,4685917,2823411,2823413,4685924,7415178,7415301,254352035,2823273,4685739,7415149,11176159,7415033,7415034,7415791,4686115,4685860,2823364,1638044,931448,931447,1638043,1638708,931850,931851,1638713,2824311,4687110,7415494,4685908,4685907,7415491,7416647,4687094,4687096,7416940,254769423,7415025,11176151,7415090,4685563,2823145,2823144,4685559,7415088,7415758,7415759,7415262,254352029,1637964,1637963,2823246,4685448,4685449,7414963,4686539,254526851,11176429,11176428,11178305,11177849,7416386,7416385,11177848,11178472,11178171,7416638,4686849,4686850,7416701,11178251,11177256,11177255,7416640,4686804,2824052,2824051,4686802,4685506,2823098,2823097,4685503,4686541,267790047,1638413,2823873,4686545,7416319,7416840,7416839,11177771,7416307,7416308,7416384,7416383,7416750,7416751,254526891,254526893,4686601,2823910,1638435,1638434,2823907,4686596,4687072,2824284,2823830,1638381,1638382,2823724,2823725,4686372,4686436,4687030,2824241,1638668,1638433,931685,525122,525121,931680,931693,931692,1638444,2822812,1637699,1637700,2822817,4685029,4686380,4686609,4686608,4686368,2823723,2823722,4686366,7416088,11175139,11175138,8904653,5810686,5810687,8904654,13067787,18397908,20014349,14334132,9847000,6467426,6467425,9846998,14334129,16092924,22226213,20014371,14334165,14334118,9846992,9846993,14334122,16092976,16092977,16092987,16092988,22226389,16093414,11177872,7416406,7416405,11177870,11177309,7415919,4686315,2823685,2823686,4686317,7414978,11176103,16091396,22224536,21859963,21859964,24431760,18018446,18018445,255824875,15787489,10937333,10793604,10793603,7131182,4489399,2697054,2697053,4489395,7131175,10793624,15602169,16089840,11174952,10937383,7414233,4684972,4684970,7236909,4562242,2743635,1590091,1590092,2743640,4562255,7236932,254769617,255058563,21853547,256360189,47643959,258092003,85376888,99321693,99321697,85376892,75637736,75637737,81061426,81061429,95118878,81061428,73080534,60340843,60340821,48943904,39020934,39020932,269362791,39020914,256049132,25702429,25702428,25702425,25702426,33475704,42469275,52873040,60343819,64386550,269991877,73083498,60343817,48946963,48946961,60343813,52512943,42155049,42155050,52512944,64386613,64791864,52873053,52873052,64791862,73287144,73287145,63535949,51757138,268420072,31492318,23994800,17650792,12479818,8450681,8450679,12479816,12085867,12085866,17188082,23468312,30902623,39510745,31515567,24014683,24014684,24014672,17666888,12492958,12492959,17666890,24014675,24014652,24014653,255578211,12492955,12492954,17666881,24014659,31515532,40202024,50224372,48570428,48570427,59962670,72700513,72700515,72700516,72937115,77761265,85615781,72937117,60197894,60197895,49433579,49433581,60835523,50224367,50224366,59290987,59290986,72027377,72937111,85231883,85231884,73405139,60659775,60659776,59643983,48257200,44562826,35184483,27095645,20196403,254980887,9970589,14491155,20196406,27095652,256753047,269639683,55410560,47422018,47422019,256929834,37514219,37514220,47421929,47422016,37514281,255716490,15649606,10831969,7160336,7160337,10831971,15649611,21688951,28970892,28970820,21688908,21688906,28970817,37514178,47421856,58809086,71538136,71538234,58809236,58809237,71538274,72030791,85109591,71538224,71538223,71538203,64752650,256929842,53722013,53722014,65778784,72030779,72030778,85619304,85109556,71538183,71538182,72030733,72030734,85619280,85109552,71538161,71538160,59294386,47899058,47899059,59294387,58137058,46769442,36891182,36891183,254957440,29741021,22382252,22382253,29741022,38309563,48219530,55280412,59294710,47899412,47899411,50433510,61923316,60551271,60551269,50433481,50433479,50433490,40400240,31708619,24201256,17832003,17832002,24201253,31708613,36961147,46697074,52561433,42201531,36814197,28317987,256297441,28461317,28461318,35062302,42201532,42201533,39206923,30627219,30627217,32565031,24912890,18407296,13074633,8909456,8909458,13074640,8909550,5814087,3626796,3626797,5814090,8909560,5814265,3626881,2166057,1253597,712924,402719,402717,712918,1253581,2166032,3626828,5814159,8909680,13074962,18407732,256091787,41425787,43834255,269612749,76454873,63411096,51667850,51667852,63411101,76454879,90284771,89321076,75563272,62624455,51001677,40866825,32095122,32095123,40866829,51001683,62624465,75563282,89321083,90284781,104435710,94324724,270972071,89457959,103556858,117692509,118620065,104435713,90284784,90284785,85534286,85534287,76454882,257695458,51667854,63411105,76454883,85706678,72121618,59390464,48002001,48002002,59390468,72121625,76454876,76454874,90284764,101144060,115221169,128341026,117543797,103414198,103414197,90284757,76454867,75563279,62624462,51001680,51001678,62624460,67631127,81096690,67631141,67631140,71946523,270314811,63862483,63862484,76974046,90852583,105031735,113491327,113491330,104435705,90284775,259449200,87145922,101144057,115221167,125992300,117543794,103414192,89321064,75563266,62624451,62624453,73526998,73526999,270318634,115221172,109409154,95154377,95154376,99654733,85706684,72121622,72121623,67631152,269191917,35073967,26989892,26989893,29316072,37884977,47808385,59207640,257808338,99480745,86563983,72965404,269337024,71946514,59207659,47808394,37884980,37884981,47808363,37884967,37884966,47808360,47808372,47808373,59207623,71946502,85534277,95154371,92278516,268632902,53003047,53003046,64977903,71946549,71946548,85534315,99480755,99654730,85706680,85706681,81096719,76974038,63862470,52042990,52042991,258377187,52043005,41728079,41728078,52043003,63862489,76974029,65139852,256503872,256503870,47808402,37884983,29316075,21987736,15891282,15891281,255878069,37884972,47808377,59207631,71946511,85534284,99480733,113491313,259273942,71946531,59207642,59207643,71946534,85534302,72242740,59508150,59508151,72242744,270005330,63862499,258377191,257762883,41728070,41728085,32807801,32807800,41728084,52043011,63862463,63862464,76974031,259631449,85534325,71946559,59207666,47808399,47808400,53003048,42563145,42563146,53003050,64977910,59207626,59207625,71946506,71946498,59207621,47808369,47808368,59207616,71946495,59207648,47808388,47808389,59207652,48120697,38210282,38210283,48120700,59508157,72242747,85834752,74917146,62113061,62113062,52042998,41728076,32807796,25105653,18556489,18556490,25105655,32807804,32807789,25105646,25105649,32807793,41728066,48120688,59508137,257173711,32807786,25105645,25105644,29316069,37884963,47808358,59207603,71946477,85534266,99480718,91227875,77308198,64160143,64160142,77308192,77308193,257768666,99787544,85834754,76974011,270503239,72965402,72965401,86563981,76974024,76974025,85834765,72242757,72242756,62113056,50613621,50613622,62113058,258128829,38210281,29643590,29643589,38210277,48120687,59207600,71946473,74917140,72242731,72242730,85834731,99787529,99787549,259994937,113801367,113801365,101945490,258715628,101945488,87973203,74371262,61594859,61594860,74371264,87973211,101945496,105031718,98368617,258659209,58190012,46823912,46823913,58190016,70902894,84459280,72961219,64160145,64160144,77308200,91227880,86563987,86563986,86544212,72944384,60204491,258181761,86544209,89857110,76063538,63068635,63068636,71946468,71946467,85534259,85834736,85834737,98368611,84459263,84459262,98368610,105031720,99480703,85534250,85534251,99480705,100522469,86560648,72961164,72961165,70902887,70902886,84459271,72961189,72961188,85834727,99787528,100522476,86560658,86560659,91227894,77308215,77308214,91227892,77575256,77575255,91506074,258406202,87707736,101681713,115726822,103974845,89857104,76063534,63068629,63068632,258743002,99727333,85773589,72179214,72179213,85773586,77308225,77308224,91227899,100506345,91506055,77575218,64407366,64407365,71946541,71946542,60221381,48824283,48824284,60221384,60221392,48824289,48824288,60221387,72961181,86560664,85773552,72179186,64407391,52534354,52534355,49835528,49835529,61318597,74101647,87707739,270518396,119688978,105450232,91227903,77308229,64160172,52308954,41968678,33025776,25299645,25299644,33025774,41968675,52308950,64160169,73586899,60837287,49435648,39504813,39504814,255262776,60221400,48824296,38902028,30315360,30315358,38902024,48824292,60221396,72961187,86560668,99727308,85773548,72961259,72961260,86560720,85773595,257791070,48048912,38135406,38135405,255891200,48048904,59440729,72179196,85773568,72961309,60221537,257509922,72179184,72179183,85773545,99727306,85850701 Dl.O(d2) = 60221428,72961206,77575252,72961286,60221571,48824493,38902281,38902282,257571930,59440740,48048909,48048908,59440736,72179205,85773577,87209039,73586893,73586894,256645504,257790832,86560761,91227884,105450219,100522521,86560745,86560706,72961235,60221459,60221460,52512190,52512191,257788964,60221536,72961307,86560767,100522525,100522495,86560689,72961214,60221434,48824347,38902106,38902105,38902135,38902136,48824371,38902175,38902174,48824406,48824534,60221618,72961366,86560799,100522544,100522427,100522426,100522501,86560791,72961345,257574384,48824501,60221578,72961304,60221529,48824446,38902220,38902221,48824450,258182727,86560764,86560845,72961450,60221739,60221738,72961291,86560754,86560750,72961288,72961289,86560752,72961457,72961459,72961224,60221446,48824353,38902110,38902111,38902148,30315463,30315462,38902143,30315480,256449591,48824413,258182725,72961024,60221190,48824060,38901763,38901761,257066799,61494659,72961355,86560717,72961254,60221474,48824386,38902224,30315514,30315515,38902229,48824458,60221540,72961311,77554228,72961295,60221520,48824435,38902207,38902208,48824440,48824467,60221552,60221620,48824538,48824536,42154262,42154261,38902157,255949590,16682085,11644526,11644527,16682087,22915304,16682090,16682091,22915311,30315476,256993747,48824398,39998670,31321212,31321213,39998673,38902298,38902299,38902443,38902445,48824631,38902472,30315704,30315705,38902475,48824461,38902232,30315519,22915338,22915340,30315524,38902206,30315503,22915328,22915329,30315506,38902213,38902243,38902494,38902012,38902013,30315600,30315599,25449255,25449254,33195088,38902419,38902183,30315485,22915316,16682094,11644530,7757728,7757729,11644534,16682099,22915322,30315494,38902171,30315471,30315470,38902165,38902308,30315579,268652392,30315680,38902441,256993761,48824279,38902249,30315538,268417448,16682112,11644540,7757731,254802461,16682105,22915333,30315508,38902215,30315589,22915383,16682139,11644558,7757737,7757738,11644560,11644598,16682196,22915460,30315709,38902218,30315511,30315512,30315665,38901956,30315658,30315659,38902192,38902193,48824402,48824275,48723597,38902314,30315583,22915378,16682135,11644554,11644553,16682133,22915375,30315355,22915215,255122388,7757706,4913095,4913094,7757703,254550414,4913107,7757733,11644545,16682120,16682178,16682180,11644592,7757759,4913122,2961507,1717417,1717418,2961509,4913124,7757768,11644609,16682217,22915491,30315736,38902524,48824706,60221774,72961473,72961430,60221718,48824644,48824217,48824218,38902449,38802618,38802619,48723600,60118694,60221317,48824209,38901948,30315301,30315302,38901951,30315350,22915211,16682027,16682028,16682011,11644482,11644483,16682016,16682119,11644543,11644542,16682115,22915184,30315310,38901961,30315635,22915421,16682170,11644584,11644583,7757763,7757762,11644595,11644604,16682207,22915476,30315726,30315692,30315646,30315647,30315557,22915362,16682126,11644549,11644547,16682123,22915359,30315549,38902267,30315611,30315613,38902349,48824548,60221320,48824528,38902328,30315591,22915385,22915386,30315594,38902332,44421310,38901969,30315315,30315314,34584484,26597304,19791435,19791434,22915177,16682003,11644475,7757696,7757695,11644474,255505673,30315292,38901934,48824197,59093543,47695121,37773732,29211793,21897607,21897605,256906435,38902304,38902303,30315667,30315668,38902435,48824624,48824646,38902458,255949596,22915452,30315688,38902454,48824641,38902503,38902505,38902463,30315696,30315697,38901943,30315297,22915176,22915174,30315293,38901937,38902414,40245907,31559568,24054842,17700784,17700785,24054845,31559571,32833999,41754967,50265599,54678962,54678961,60221508,60221509,54599105,43855499,34584481,34584480,43855496,54599101,60221600,60221346,48824243,38901992,30315336,30315337,38901995,38902507,47695123,256385852,21897608,21897610,29211797,37773737,38901997,48824251,60221354,60221728,72961442,72323006,72323004,71528714,60221361,48824258,48824257,40245910,40245909,50265594,61743944,71528671,71528668,58799727,47412867,37505276,28962024,256345937,47412871,58799737,71528701,67730188,67730189,257110608,75550802,62613026,62613025,60221690,48824603,48824602,60221688,64552406,60221670,48824587,48824588,60221672,72961402,86560823,76997270,63886920,63886919,71833433,77979884,257315006,65067592,53085020,42636943,33611184,25812303,19163729,19163728,25812296,33611176,42636928,53084998,65067580,64552404,52652863,42266995,42266996,42636932,42636931,53085002,51850055,51850054,59588448,59400073,59198267,47798369,37874346,37874345,47798367,59198265,71937733,76974015,85916242,75465244,62542057,50938001,40818104,40818105,48824695,60221764,71528666,65067575,58799724,47412861,47412807,37505236,37505237,47412809,58799670,53085041,42636969,33611206,25812317,19163737,13684524,13684523,19163732,25812309,33611196,37505269,28962018,21679917,21679916,28962014,37505264,42636937,42636936,53085010,59588520,59588451,48201963,38292594,38292595,48201966,59588454,59588475,48201983,38292605,38292607,48201986,59526056,48824693,38902514,30315729,30315730,38902517,48824700,47412823,37505241,28962000,21679908,21679909,28962003,29725775,29725776,38292637,48202030,59588513,53085046,42636975,33611211,25812322,25812321,27058596,35143856,38228817,38228816,37505274,28962022,22369276,22369277,29725751,29725768,29725769,38292627,47412833,42636961,42636960,48201993,48201994,59588483,59588465,48201972,48201971,59588460,48202086,38292676,38292677,48202088,47412873,37505280,37505281,47412875,52564756,64440045,59588507,58799678,47412818,47412817,42636917,33611169,25812291,25812290,33611162,42636911,34212352,34212353,43310565,38292619,38292618,48202009,44520198,44520197,40969747,38292652,29725785,22369284,16214810,11271717,11271716,16214806,22369273,26338626,34212380,43310615,38933207,38933206,38933211,48852599,60245589,61664670,70421788,59588504,59588503,53835223,53835224,52564754,42204344,33242816,33242817,42204349,52564761,48201978,38292602,29725759,29725757,37597237,38078183,37597233,29049428,29049427,37597231,47501099,40207520,40207519,48202003,48139014,48139015,43310594,34212371,26338622,26338621,34212366,43310590,53835212,48202091,48202092,50649992,43310600,43310601,38933169,38933170,48852552,48852594,48852593,60245575,53085005,53085006,57726825,46376575,36517406,36517408,46376577,48139005,48139004,39950219,38228844,38228843,48139010,38933151,38933152,48852527,47990905,38078178,29513684,29513685,38078181,47990911,40207529,31521671,24020228,24020227,31521668,40207526,48202056,43310620,38228870,38228869,48138982,53835205,59526066,48139039,48139038,51398599,41205840,32385532,32385533,41205841,51398601,59526069,48852566,48202037,38292640,38228867,29662410,29662409,29725795,29662399,22309789,16162777,16162778,22309791,29662408,38228863,38078176,29513682,22172256,16048208,11143168,11143169,16048214,22172267,29513694,30347528,22946212,22946213,30347534,30347543,22946221,16709956,16709954,16709948,11669010,11669011,16709951,22946208,30347521,29512964,29512963,38077436,35248274,27149907,27149908,35248277,44632686,48852570,38933183,30347512,30347511,30347497,30347496,38933162,48852542,59526035,48138997,38228837,29662392,29662391,29662403,29662402,38228855,48139024,47990889,38078165,29513673,22172249,22172250,22172259,22172260,19610114,19610113,26338612,34212347,38933229,30347553,22946225,16709959,11669014,11669015,16709964,22946231,30347559,35248269,38077458,29512972,22171737,22171736,29512969,38077453,47990195,59380326,59380313,47990180,47990179,53835183,60245538,48852534,38933155,38933154,38933191,38933190,48852579,57753985,48138996,38228830,38228829,48138979,48138978,48139023,59526050,59380937,47990885,38078159,38078158,47990882,43310579,34212361,26338618,26338617,34212357,43310556,48852560,38933176,30347505,22946200,16709944,16709943,22946198,30347500,38077430,38077428,47990158,47990197,40544466,38077445,38077446,47990185,49438282,49438281,58491757,71213504,73589648,60839973,60839972,60245533,60245534,70449132,57753989,46403043,36541732,36541731,46403040,48138991,59526028,62072790,73006107,73006106,258394138,47990892,47990893,50580603,62072761,65902229,53835199,53835200,257079136,31846280,24326496,17938553,12710922,12710923,17938555,24326503,31846288,39921234,49939032,50580654,50580655,62072814,50580650,40544463,40544464,50580652,62072819,71213486,84782512,94358767,88506792,75552145,62614531,257790822,46403038,51189697,41033322,41033321,51189695,60271466,48879687,47990145,47990146,47514937,47514938,50580606,50580605,59588532,62072809,60232443,48838070,47514927,40544451,31846273,24326489,17938549,17938550,24326481,17938544,17938543,24326479,31846260,40544437,50580630,43310569,34212354,34212355,43310573,53835197,61416987,61416989,71614393,256898130,43873115,34603041,26615649,26615648,34603039,39167007,30569179,30569178,39167004,49097157,40368151,31673540,24163930,17796146,12596679,12596680,16624429,16624431,17484102,17484101,23819361,31306653,39981983,40516565,36541744,36541746,36541740,36541739,36541772,28074160,20902228,14997583,14997584,20902229,22291484,29643428,38210094,36512970,36512971,46371836,47514905,37709849,37709850,38210114,29643446,29643444,23761028,23761029,31245571,39921242,49939038,48120529,38210125,33562225,33562224,39171792,39283075,39283074,40536173,50403523,50403522,49998919,39982006,31306671,23819372,17484110,12327830,12327829,17484106,17919831,24303461,31819868,28074142,20902216,20902215,28074139,28074181,20902247,14997595,10328126,10328125,14997591,20902240,28048823,20880486,20880487,28048827,21841472,15771895,10924470,10924471,15771900,12973253,12973254,18278690,20951353,28129261,36603121,35250643,35250644,29643454,29643455,38210132,36454420,27995995,27995992,31667595,30572405,30572404,28048801,28048799,23154690,16893375,11821593,11821595,16893382,21558276,17186357,12084558,12084559,17186365,23466105,30899839,39507371,49438329,58587731,47196421,47196420,58587730,52088584,52088585,268961770,43919650,256202281,19841594,14214577,9771905,6425015,4030889,2415546,1398284,1398288,2415582,4030987,6425231,9772215,14214923,255729507,34646897,29188891,29188892,25269201,22249617,255601218,16111777,11191444,7425672,4692412,2827366,2827365,2842428,1648868,937851,937853,1649480,2843464,4719770,7468557,11251058,11932280,7985147,7985146,11932272,254631530,16109726,22247146,23664065,23664064,31151111,254432018,22248707,16111033,254770441,7425217,11190847,16111035,22248714,29597852,38164454,47906338,39435443,30831209,30831208,39435441,35042846,35042845,26962569,20078496,14396002,14396003,20078498,26962573,35042864,35042841,26962557,20078492,14395999,9902200,9902201,14396000,20078494,26962564,35042848,44417313,55264957,67606742,81075057,259784451,109388275,123580227,137311558,150352438,139017194,125678142,111861818,97927527,84056749,70521659,57820672,46464603,36598164,28124804,28124805,24014165,24014166,31514886,40201246,50223535,61705375,74488484,88100904,102087892,91310570,77391589,64240749,52384754,42040741,33092665,33092664,256229608,27119470,27119471,35211662,44592403,55442665,67786288,64240735,64240734,64240736,77391570,91310541,256882704,77202068,77391572,257780659,42040737,33092662,25359421,18776937,13372464,9139565,5980859,3739934,3739933,5980858,9139562,9141520,13374939,18778127,13373587,9140478,9140479,10775843,7119873,7119874,10775849,15577857,17651390,12480655,8451560,5459479,3356584,3356586,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475620,5599242,8613993,9141658,5982212,5982208,9141650,13375112,17621381,17650463,23994480,18775715,13371353,13371354,12443488,255183229,23972357,17633210,255548349,12439627,12439629,12453577,17625968,12474174,8443814,5452757,3352101,3352102,267912171,255575983,12472550,12471012,8440186,5449744,5449745,8440191,12471023,12438442,8435465,8435464,12439639,8422123,5435945,3341735,1965061,254272445,5435950,5423956,254598021,12436973,12472676,8452406,5460101,5460100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14910522, s2 = 14074130, dlinesl.size( ) = 2 s1 = 14910522, s2 = 14074130, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14910522, Dl.E( ) = 6, 2.1e-05 seconds used appending s1 = 14161345, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 463272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8276919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9822669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1508748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1508748, s2 = 12429413, int(edited[s2]) = 0 s1 = 1508748, s2 = 12429413, d1 = 1, d2 = 9 Dl.O(d1) = 38459841,37595050,37595051,29047296,29047297,37595049,29047290,29047291,257526319,72323678,85916986,99872296,85916985,85916986,99872297,99872296,85916984,72323677,72323678,85916986,99872296,85916984,72323677,72323678 Dl.O(d2) = 100437694,260641645,126978798,113120201,113120197,113120198,100437695,86480576,258177193,48754682,38834613,30250934,255500475,16630470,22856187,30250939,38834617,30348386,22946985,16710573,11669454,11669455,16710576,16711703,16711702,13648803,13648802,17423211,12280386,12280385,17423210,23748651,267978942,254360360,38548603,254125524,16428382,22612765,29979609,38548606,31717592,24210023,17839935,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,21204041,19142990,17841270,12634078,12634077,12637718,17846093,19819852,14197274,14197273,15975765,11090164,11090162,15975757,18292776,24248128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1508748, s2 = 12429413, dlinesl.size( ) = 2 s1 = 1508748, s2 = 12429413, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1508748, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 2554139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14866045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8357861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8805204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9081289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9758951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11201468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8135977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2718264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8070918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8070918, s2 = 2765519, int(edited[s2]) = 0 s1 = 8070918, s2 = 2765519, d1 = 47, d2 = 64 Dl.O(d1) = 255641201,13164878,8973484,8973486,13164883,18528979,13430509,13430505,18850369,256127703,29272277,29272278,37838496,256693780,255895744,14083539,14083538,19648725,18528953,13164866,13164867,18528957,256102307,18528971,13164877,8973483,5858002,5858003,8973486,13164883,18528979,13430509,13430510,18850378,17348254,12220969,8250937,5322574,3271165,1923807,1923804,3271156,5322548,8250891,12220880,17348088,23665781,22371119,16216346,16216347,22371124,29727894,24562482,18123157,18123158,21754505,15700642,15700640,21754498,24765581,18288162,18288161,24765576,32386310,32386442,24765687,18288227,12980642,8836205,5757991,5757992,8836211,12980657,18288243,24765626,24765625,32386368,256001735,17348092,17348093,23665790,31153183,39835908,49859567,48204238,48204237 Dl.O(d2) = 14425656,254769656,9687212,9687213,9923204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 2587844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9836007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086466, s2 = 10345393, int(edited[s2]) = 0 s1 = 14086466, s2 = 10345393, d1 = 16, d2 = 12 Dl.O(d1) = 57799702,70500537,84035336,97905208,111838556,120216530,111838554,111646271,97725518,83866596,83866595,74554682,61771090,61771091,74554684,88169702,259761974,50291287,40270045,40270046,50291289,61771093,74554687,65362014,53358618,53358617,258118526,70430361,83956745,70430366,70430367,83956752,97815772,111737679,125543557,111737678,97815769,83956750,70430365,57736116,46386300,46386301,57736118,70430368,83956755,97815776,111737670,125543553,258297438,101560432,258920232,97815757,87597025,73996207,73996208,70430360,57736112,57736111,70430358,83956742,97815759,97815761,83956743,83956744,97815762,85016549,71443892,71443891,85016547,98942232,98942234,98942233,112931673,126786221,126786216,126786217,114695840,114695839,114695838,114695837,114695832,114695831,128593086,141954438,141954441,128593089,116077555,102022032,88038859,88038858,102022030,116077552,119687477,119687478,105448758,91226438,77306695,77306694,91226437,77306697,64158635,52307343,41966918,41966917,41966916,40146128,31462540,23966566,23966565,31462539,29903559,22547860,16371744,16371743,22547858,256414583,38313570,29744852,22385645,22385646,29744853,38313572,47840806,48106746,41734742,41734743,47370536,58756670,71485685,85057263,98982541,102409657,259436256,74778124 Dl.O(d2) = 21585224,28858578,36910214,30693736,30693737,39291134,37402928,37400339,30660047,30660046,37960769,37960766,29396269,22065875,22065877,28861745,28861546,21587571,21587570,28861541,30660038,23973116,23973115,30467220,30467221,28859067,21585582,21585581,28859063,37400331,28860940,21587080,15561835,10763794,10763795,11557564,7691058,7691059,10760733,10760747,10760746,7109951,4476651,2689596,1557972,1557971,2689593,4476646,7109942,10760740,15557230,21580803,21586685,28860431,37401858,47311294,58701273,71433508,257862328,112922552,126777151,140127579,127357214,113487678,99476997,99476998,261699709,113487675,113487676,113487680,99476999,85530440,71942433,257495867,37880072,29311267,29311266,21983486,15887736,11013537,7290807,4597566,2765815,1603235,911609,514290,514291,515563,913669,1606298,254229939,1581521,2729546,4540794,2761501,1600845,1567110,1567112,1581244,898875,898874,1581241,1632063,928113,928112,1632061,1581100,1581101,2729038,1581832,899283,507245,284405,284403,507240,899271,1581270,1567067,267764785,499751,499752,885762,502894,281984,254078115,46808,46807,85420,155676,281972,502852,502851,282029,155701,85434,85433,155697,282020,502964,891343,1558048,885765,885764,891431,891366,891364,1567495,2689254,1558037,885756,499748,254120755,1558034,2689663,254228161,1567293,2704653,2732297,2704525,2704523,2704354,2704355,4500604,2760341,1600186,909755,909754,513169,507754,284725,284726,507759,900117,1583254,2732276,1657093,1657092,1557635,1557636,1774269,1011373,1011374,1598562,908840,908738,908739,1598454,1597790,908295,513185,267751947,512543,505769,505767,896567,909799,513188,287792,287791,513187,908300,512623,512624,267751739,283808,283810,287322,287321,287455,158952,87418,48099,48098,87416,102671,56463,56462,102668,156531,283490,158695,87234,47991,47990,47983,26827,26828,47985,87228,158686,287119,286651,286652,284426,284427,507278,513684,254089161,102681,267735623,18327,254071021,56464,102673,254089157,157301,157302,102693,56480,56481,87193,86085,47239,26329,26331,46309,84675,85933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086466, s2 = 10345393, dlinesl.size( ) = 2 s1 = 14086466, s2 = 10345393, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14086466, Dl.E( ) = 20, 1.91e-05 seconds used appending s1 = 8026344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8509271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2939975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2939975, s2 = 5206433, int(edited[s2]) = 0 s1 = 2939975, s2 = 5206433, d1 = 37, d2 = 59 Dl.O(d1) = 87773520 Dl.O(d2) = 259541514,154760948,166467187,272913448,194562184,201548756,207430048,212279808,216242220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2939975, s2 = 5206433, dlinesl.size( ) = 2 s1 = 2939975, s2 = 5206433, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2939975, Dl.E( ) = 60, 1.5e-05 seconds used appending s1 = 6588620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254132, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11218062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9413804, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15201355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7903795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7990858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8316827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8037245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8659642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9812661, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6880563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6880563, s2 = 6687387, int(edited[s2]) = 0 s1 = 6880563, s2 = 6687387, d1 = 14, d2 = 8 Dl.O(d1) = 259590688,75927310 Dl.O(d2) = 257383360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6880563, s2 = 6687387, dlinesl.size( ) = 2 s1 = 6880563, s2 = 6687387, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6880563, Dl.E( ) = 16, 3.1e-06 seconds used appending s1 = 2986744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2986744, s2 = 2674701, int(edited[s2]) = 0 s1 = 2986744, s2 = 2674701, d1 = 12, d2 = 1 Dl.O(d1) = 89885331,76084780 Dl.O(d2) = 76084777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2986744, s2 = 2674701, dlinesl.size( ) = 2 s1 = 2986744, s2 = 2674701, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2986744, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 13972449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11161228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1259771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14081212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14081212, s2 = 14550009, int(edited[s2]) = 0 s1 = 14081212, s2 = 14550009, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14081212, s2 = 14550009, dlinesl.size( ) = 2 s1 = 14081212, s2 = 14550009, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14081212, Dl.E( ) = 2, 1.5e-05 seconds used appending s1 = 2679339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11161786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2366174, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8149234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10135661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8322157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14192052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8427629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11718116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11718116, s2 = 10341805, int(edited[s2]) = 0 s1 = 11718116, s2 = 10341805, d1 = 7, d2 = 14 Dl.O(d1) = 64436031,77604884,258647328 Dl.O(d2) = 47269040,47269041,58660478,47269045,47269044,58660482,71395162,84969653,73219118,73219116,77752950,77752949,84522629,73397017,60650618,49250179,39323736,39323720,38071387,29507704,29507705,38071392,47983471,48318829,38408046,29835878,22468836,22468837,29835880,38408049,48318841,55464451,44615723,44615724,41599178,41599177,49250146,49250148,48202242,38292793,38292792,30539601,23120704,23120705,30539607,39138791,47872400,37954021,37954022,47872405,47872419,59268123,59706013,59706014,60650658,49250213,49250212,52670339,52670338,52670344,49250195,39323744,30725953,23308161,17046709,11958785,8005489,8005490,11958790,17046721,23308186,30725989,39138802,30539615,30539616,39138805,49069225,58242757,46875563,46875559,46875557,46875591,36996984,28583708,28583709,37088550,29725929,29725928,38292797,48202249,39323748,30725954,30725955,29388877,29388878,22058243,22058244,29388892,37954035,47872424,48319316,39323799,39323797,49250209,42283680,33302839,33302838,42283677,48319296,38408542,29836315,29836316,38408543,30539592,23308169,17046713,17046714,23308172,30725967,39323769,49250219,59747961,59747958,49245876,46875566,46875565,46875602,36996989,28499506,256311869,46875581,46875582,58242782,49250270,39323816,39323817,32097616,32097615,39323818,49250272,51004365,51004366,51004335,40869381,38408567,30725981,30725983,39323803,42283672,42283671,38408537,29836319,22469220,22469221,29836323,38408550,39323724,48319347,58242725,257035408,38463493,29906177,29906178,38463497,30720660,30720646,23303237,23303238,21281681,15318737,10580420,10580421,15318743,21281689,28499512,36997002,38463339,38463340,30725999,23308193,23308194,24522368,18091063,18091062,24522363,32097611,38463371,38463372,32097587,32097586,40869389,47259024,46749055,38408536,29836310,22469215,22469216,16300660,11342011,7537384,7537385,11342016,16300668,22469248,29836371,28499460,22549964,16373460,11394968,11394972,16373467,22549979,29906195,38463520,48365086,58242752,46875524,46875523,58242749,58242737,58242738,59747921,49263200,39336682,39336683,39329374,257023253,60656746,58657023,47265190,37355413,37355414,39329339,49256141,47265299,37355557,37355556,39329366,38463465,38463467,47234812,37325994,37325995,47234814,38463480,29906165,29906164,38463477,48365036,59747951,268911418,48365073,38463512,38463513,48365076,48365097,257312732,58657004,58657003,47265423,37355687,28816408,28816407,37355685,28988283,28988284,256889876,49263227,47265375,37532920,28988109,28988108,28816261,21547449,21547447,28816255,37355509,28817554,28816291,21547478,15529727,10740569,10740553,7096378,4468028,4468029,7096381,7920585,5035645,5035643,7920579,11850784,16932501,22262499,16122186,16122187,21547466,21547465,28816280,28816386,37355366,37355365,37355587,37355588,47265325,49245813,47440997,47265354,38424502,38424503,47265379,49245761,49040569,47265435,37355710,37355709,30014848,22642928,22642930,28816271,21547459,15529718,15529717,21547453,28816270,37355391,28816178,28816177,21547537,15529754,10740581,7096393,4468034,4468035,7096398,10740597,15529786,21547590,16932490,16932491,21547597,21547598,16932495,16932493,21547615,15529795,15529793,21547607,23281599,23281602,23098091,21547533,21547532,28106761,30513710,28816347,21547508,21547507,28816284,21704614,21704613,28988268,23281724,23281722,30513736,23303033,23303034,30720396,39110858,47441039,39338135,39222328,39222327,49148962,49264388,49221089,39294459,30722111,30722112,39320259,37355404,37355402,28816353,21547515,21547514,23098056,23098060,23098059,30513682,30515804,23099835,16843546,16843545,23099830,23281616,17022615,11937874,11937873,16842249,11778204,11778203,16842244,23098088,23317997,17053649,17053648,23281731,30697095,39294517,30722083,23304584,17043880,11956777,11956778,17022715,23281740,30513724,39110831,256348138,33293129,25531612,25531613,33293131,42274551,39110817,30513697,23098071,16842236,16842235,23098068,256039244,23281744,23281745,23281752,23281768,17022733,11937966,7989602,7989603,11937968,17022738,23281773,17053599,17053601,17053630,23317978,30738002,39294541,30697133,23281784,17022744,17022743,23281782,17043884,11956782,8004233,5095737,5095738,8004236,11956785,17043892,23281785,30697137,30726538,23308802,23308803,30726542,39324304,257023199,49245898,256627192,23303269,23303270,23310515,17053604,17022724,11937961,7989599,5085208,3084792,1800660,1800661,3084795,5085214,5096645,8005800,11959274,11955935,11955934,17042609,23302993,30720339,39318668,39336671,30740279,23320180,23320179,29755588,23309779,23309780,30722087,23304588,23304589,30697117,23281759,17022727,11937962,11937963,11964662,255143231,8005834,5096670,5096669,267988633,255266884,23884812,17538235,12370032,12370033,12405482,10017011,10017010,14557236,10017059,6583912,4125158,2467803,1426457,1426459,2467810,4125170,6583934,10017097,14557337,14557270,14557269,14556706,14556707,20286625,27215079,31222511,23739007,17414148,12272720,8610763,5596400,5596402,5410453,3325967,1956042,1117339,626943,626944,1117341,1956045,3325973,3325655,1955912,1955910,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295680,13507911,17392005,15332231,15332232,21300239,17405480,12266234,12266235,17405482,17385712,12251397,12251398,17385713,23709101,23916208,17573937,17573940,23916215,268609434,16295013,22463204,29830600,29830601,38402772,268947971,29830614,22463211,22427192,16260455,16260454,22427190,29793153,38365941,38472909,29914621,29914620,38472907,48374491,59756882,60361927,59665352,48277487,38365911,38365910,48277485,48966664,256564883,24387505,268617390,16802952,11749385,7844618,254504330,254371601,7844620,11749392,16802961,23048443,30456106,39045406,48966697,51000182,40865413,35252818,27153945,20242741,20242742,27153947,256758397,23897196,17722996,17722997,17722989,12538815,12538814,17722971,17722970,18087702,18087701,12823142,8718252,5674921,5674920,8718249,12823133,18087708,17722947,12538793,12538795,17722952,24080102,31585815,269001881,31808332,24293357,17911269,12689510,8620103,8620102,12689508,10252533,6736664,4220937,2523696,1454352,823451,465051,261834,261836,465053,823456,1453899,2522994,2523806,2523556,1454259,823398,823397,1454257,2523552,2523754,4219800,4220140,4219519,4219518,4219239,4219238,6734415,4219959,4219958,4219816,2522949,1453872,823182,464911,464912,823186,1453758,823113,464873,464874,254154623,1454263,823402,823401,465066,261844,145169,79870,43770,43772,79852,79854,145129,261774,464940,823239,1453967,2523092,4220031,4219335,2522647,1453699,1453698,2522644,4219329,6734530,9046756,6734737,6734738,10250030,6735560,6735562,4221127,4221126,6736845,10249711,6734495,4219302,2522621,1453687,823075,823076,1453691,1454443,823506,465080,465082,823515,1453912,1453905,823200,823199,1453903,2522999,3629047,2167469,2167468,3629043,5817640,4220991,267784291,1454377,1454378,1453681,823071,464850,261723,261722,464846,823062,1453667,2522592,4219265,2523804,1454426,1454425,2522570,2522571,2523173,1454017,823268,464954,261786,145138,145137,261784,464950,823258,1453996,2523147,1454369,1454368,2523725,4219918,2523011,2523010,4219914,6100323,6100322,6734549,4219337,4219339,5817633,4221135,4221134,6736292,4220693,2523560,2523561,4220697,6736302,10251991,14909807,14909788,10251971,10251970,9312618,254932427,254925664,14906330,10249115,10249116,14906337,10249134,6734040,4219003,4219002,6734035,10249125,14906351,12880515,255616125,32199765,38357580,29785356,22420091,16254651,267976399,4742696,4742695,7502948,269491066,38357572,43392985,43392986,53917943,65986341,259342863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11718116, s2 = 10341805, dlinesl.size( ) = 2 s1 = 11718116, s2 = 10341805, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11718116, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 8475623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8475623, s2 = 14120086, int(edited[s2]) = 0 s1 = 8475623, s2 = 14120086, d1 = 22, d2 = 18 Dl.O(d1) = 39902447,31225695,23742325,17417767,17417769,23742328,23058441,23058439,21183712,258031069,46976457,258671717,273329967,273541714,272074647,26591472,26591473,25577999,18969588,13534342,13534341,14185271,14185272,256198793,256379384,30214577,22822464,16602315,16602320,19788564,14174216,14174217,19788570,21546726,28815253,36928883,37959110,29394572,27938390,20785087,14897209,14897208,15240156,10513276,6932744,4355837,2609181,1505969,1505970,2609188,4217105,6730726,7707855,4878099,2939274,2939277,4878114,7706825,4877528,2938974,1704266,1704264,2938966,3152863,5170882,8075911,12016801,16895966,23157335,26959522,26959521,33823736,26006130,19332582,14060561,14060563,17834665,12954198,12954196,9345986,9345983,13648494,19116403,25754589,32234473,24636828,24636829,32234474,26357575,268793075,257033200,18939104,25551572,33313030,42293239,52679771,64580150,77763163,91690692,105898120,120110151,105898125,105898126,260879655,120110180,105898149,91690709,77763174,64580155,52679774,52679773,64580154,77763171,91690703,271045997,77763164,77763165,91690695,105898126,260879655,120110180,105898149,91690709,77763174,64580155,52679774,52679772,64580151,77763165,91690695,105898126,260879655,120110180,105898149,91690709,77763174,64580155,52679774,52679773,64580154,77763171,91690703,271045997,91690693,105898123,105898128,105898127,271995781,120110170,105898137,91690700,77763169,77763171,91690703,271045997,91690693,105898123,105898128,105898127,271995781,120110170,105898137,91690700,91690699,105898135,105898140,105898141,105898145,105898144,260284401,91690686,77763160,64580149,64580150,77763163,91690692,105898121,120110153,133952399,133952404,133952405,133952410,147174885,133952394,133952393,133952401,271548431 Dl.O(d2) = 133952395,261446489,260284405,271995779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8475623, s2 = 14120086, dlinesl.size( ) = 22 s1 = 1554057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6731343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178787, s2 = 250027, int(edited[s2]) = 0 s1 = 13178787, s2 = 250027, d1 = 13, d2 = 27 Dl.O(d1) = 6272681,6092924,3812146,3812145,6092916,9301304,9369280,6137034,6137036,9369294,9546981,6263793,6263795,6274555,6274553,254657968,26166571,34008250,268755212 Dl.O(d2) = 1330016,759453,431870,268152878,254303719,6095397,6095398,9305329,6130173,3835361,254207689,254149099,756191,254094077,242583,429736,756196,1325024,2284369,3813568,2284370,254302655,6095405,268437240,9305338,13590069,9305335,9305334,13590068,19038307,25656782,28505980,21286862,15322491,15322492,21286864,28505984,23422602,17145551,12049802,8101120,5190196,3166711,1853836,254259815,5190192,6917056,6917055,10490086,10490505,6917413,6917412,10490036,10490035,254250394,17143480,17143479,23419863,23419862,24308636,22643238,16453299,16453298,22643236,22107678,15996324,15996325,22107680 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7022148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9484711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8417196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3820640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14871007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7101495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6896813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10201814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8481869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8481869, s2 = 6682725, int(edited[s2]) = 0 s1 = 8481869, s2 = 6682725, d1 = 10, d2 = 0 Dl.O(d1) = 122971819,261010040,259765743 Dl.O(d2) = 80365531,66940054,257290789 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6634611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6515631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6494611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9127138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8463795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2051992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2611317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2401260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6757472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 487139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 191544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348112, s2 = 11658691, int(edited[s2]) = 0 s1 = 10348112, s2 = 11658691, d1 = 26, d2 = 23 Dl.O(d1) = 268768697,19352383,256168051,42895453,270465748,255621580,21439162,15443980,10677396,10677395,15411761,21397712,259303349,112636671,100260344,86297614,258544230,86297598,86297599,100260330,100260327,86297597,86297596,100260317,114290536,114290553,128173772,141531828,154195191,154195190,165954584,176600465,186021133,194233503,194233511,186021153,176600494,260806106,154195222,165954599,154195206,141531815,128173756,128173757,141531818,154195210,165954607,176600481,186021146,193112790,193112788,184753468,184753469,193112789,188615497,179591702,169345664,157924426,257728244,132288735,145090290,131831425,118004162,116539193,116539194,130377439,132288739,132288727,118461014,104289808,90149399,90149398,104289807,118461013,132288723,118461022,104289813,90149403,76330390,255621594,104289818,257142036,98572993,84649805,84649804,269455598,71087159,84649787,98572981,112566645,112566656,98572988,84649792,71087161,58370747,58370748,71087162,84649794,98572990,112566658,123662612,109470267,109470268,123662603,137393864,150433666,271118736,81159414,81159413,95216053,271118738,95216084,95216045,81159409,67693864,55354142,44507883,35131270,35131271,44507888,55354152,67693883,81159445,95216092,109470276,109470287,109470248,95216057,81159416,81159415,95216056,109470258,95216080,81159434,67693875,67693874,81159431,95216075,109470275,95216070,81159427,81159428,95216072,109470278,260363658,109470288,123662626,137393866,260960798,123662619,137393869,125755750,111935899,97995966,97995967,111935901,125755751,125755754,111935907,111935906,260488889,111935903,123002029,108734558,94442445,94442446,94442449,94442448,108734559,97995972,97995971,111935902,123002020,123677862,123002018,123002017,136831271,123002012,108734534,94442410,80383684,80383683,94442407,108734527,123002004,136831262,137408531,137408532,137408538,150447644,270919998,156218774,270919996,143688073,258917844,109486571,95233221,81177578,67712332,55372563,55372562,67712331,81177576,95233187,95233181,95233180,109486525,109486546,95233198,81177553,257686072,55372553,67712314,81177555,86318602,88424490,88424491,102425921,116523001,123677897,109486542,95233194,95233193,109486540,114311147,123677914,137408549,141550481,128193908,128193909,128193915,114311150,100280746,86318604,72721031,72721032,86318593,100280730,109486561,95233208,95233207,109486559,103713702,103713703,103713704,89597782,75815518,75815519,75815516,67594201,55252580,55252581,67594202,268232336,48591437,59983504,72721023,59983468,48591414,38674928,30097452,22715625,16511244,16511245,22715627,30097455,38674935,48591440,59983511,72721070,72721013,59983459,59983458,72721011,75815520,256974406,59983486,59983487,59983516,48591442,38674936,38674937,48591443,59983517,59983466,48591413,48591412,59983463,256430986,72721021,59983484,59983485,72721042,83960930,70434619,57740214,46390136,46390135,57740211,258261715,87919269,257324714,86297520,100260257,102359503,88362804,74734028,74734029,88362805,97819936,83960942,70434631,57740221,46390140,46390141,57740223,70434634,74734036,256974408,72721053,72721052,86318623,86318650,100280759,100280758,88362791,74734015,70434626,57740218,46390138,46390137,57740216,48590640,47418345,44506989,44506990,55352973,61939618,61939617,258787629,72720189,86317818,86297481,86297482,100260227,114290473,111741993,97819934,97819924,83960935,83960936,97819927,100280079,86317805,72720170,72720172,72721056,59983499,255932060,86318620,95352062,95591512,81557910,80327101,80327100,94382189,102359527,102359526,111406547,125252833,258899012,74019766,61239076,49760028,39741341,31063497,31063496,36861188,36861187,46742711,58112600,50247455,50247454,60168970,48774730,48774729,60168968,72905702,64671982,64671981,255781544,70312641,57622250,257993737,83837446,259013564,257771976,89327953,257182768,98150348,98150347,102256712,88258467,74628175,61835921,50351743,50351742,61835919,57622198,57622197,70312589,258728634,98150318,84256404,84256405,74560574,61777096,61777095,70704887,84256407,70704928,70704927,84256443,70704948,58943797,47561014,257324414,28229970,28229969,36723768,46611399,46611424,46611425,57987662,57987628,46611401,46611400,57987626,57987666,70704917,70704877,70704878,70704900,70704905,57987650,57987651,57987674,70704931,70704909,57987653,46611429,36723761,36723760,46611427,57987664,57987648,46611430,46611431,57987667,70704919,84256434,98150336,98150314,98150313,259496830,258250374,33554254,270072186,268757495,25764635,19125036,19125037,25764636,33554258,42571288,50191481,61675302,74458452,258872746,64160027,52308827,52308828,64160029,77308092,91227754,85428024,85428023,85427973,258323409,51022715,40885665,40885666,257225169,64986407,259690933,260112078,260133553,272060296,258434161,64986407 Dl.O(d2) = 40167224,31482443,23985609,17639800,12464019,255185667,17639815,12464026,8432724,8432723,255185669,23985619,17639807,17639806,256027035,40167242,41482185,268276660,18427449,13089132,13089131,18427447,24940656,32603780,40167178,50191384,256592818,50191522,40167284,31482479,31482480,40167286,50191526,256587196,41482180,40167278,40167277,50191464,268469376,23985612,256027033,31482453,32132655,27020986,20129563,20129564,27020988,35106687,44483535,35106671,27020979,27020980,35106672,35106681,35106682,44483548,44483558,44483557,44483559,55329671,55329658,55329657,59034544,59034546,71777058,257731338,71777060,81135745,95193309,85450020,71865049,59126642,59126641,71865046,85450019,72069809,59335215,47943240,38035092,38029325,29466870,29466871,38029327,47943268,258115347,59340162,72069820,59335390,47943389,47943388,50495342,40459426,31764963,24253129,22131803,16016669,16016670,22131740,16016636,11120822,255075613,22131743,29466857,38029305,29466863,29466864,38029314,29466921,22131790,22131789,29466851,38029300,29466948,22131813,16016675,11120841,11120840,16016650,11120829,11120830,16016652,22131774,29466890,268939535,38029409,29466929,22131798,16016665,16016664,22131797,268631797,29466936,38029420,38029397,38029398,47943325,38029364,38029363,47943324,59335306,59335300,47943321,47943320,59335297,59335223,59335222,61531221,72069936,72069935,258113364,257505343,59335219,72069813,85657184,258736816,59335350,72069930,74115767,61333509,257052787,31144557,31144558,39826907,47943382,47943383,59335288,47943312,47943311,59335286,72069859,72069855,59335341,47943350,47943349,59335339,61333505,49850462,49850463,61333507,72069879,59335308,47943326,38029365,29466895,29466896,29466904,22131780,22131781,29466906,38029377,47943343,59335334,259155165,81061094,85657226,72069883,59335311,59335310,269371806,59335314,72069886,72926563,72069957,72069958,85657230,85657236,86524735,75457098,62534584,50931028,40811801,256450656,52006764,258374973,90807001,79247261,65883044,65883043,79247259,87574400,73976250,61198047,61198045,73976249,87574417,93375037,79247299,257748938,53815145,53815147,65883099,53815148,43290126,34192882,34192881,43290139,53815158,65883104,76930803,76930804,79247288,65883081,53815133,43290114,43290115,53815134,65883083,79247290,93375030,107797347,93375032,256711086,74489762,65883086,269475544,93375033,107797351,104984802,104984800,106589005,106589004,106589006,92290735,78263690,64990165,64990166,78263691,78263712,257817665,53015118,57728262,58148651,64990172,78263697,70858302,70858301,257421115,42574876,33558051,25768703,25768702,28405928,28405929,36898027,28400677,21180161,21180162,28400680,33781338,36898035,36898036,46775961,258030673,70852244,257575198,36892301,36892302,256994764,53266778,42813809,33781289,25971028,25971029,33781291,42813796,33781281,25971023,25971022,33781280,42813782,42813783,53266758,42813799,42813800,53266774,65256512,78546854,92594455,92594456,92594458,78546879,65256535,53266796,53266795,65256533,65256525,53266786,53266787,65256526,78546870,78546872,78546871,258806734,100529001,106913094,106913093,121179898,134988524,148110856,148110929,134988586,134988587,260047564,106913151,260047566,148110932,148110937,134988595,134988594,148110936,154444192,154444036,148110931,141797071,128443801,114559698,114559697,128443800,114559744,100528965,100528964,114559742,128443877,261770189,154444038,141797079,141797078,141797169,141797168,154444034,154444035,166179585,160354125,154444046,141797077,141797076,154444043,150405038,137364102,123632291,114559738,114559739,128443872,141797173,154444190,166179761,176799446,173021561,161857920,149554219,149554220,161857922,173021563,261015214,155264263,142631990,129266318,129266316,142631985,129310905,115402387,101343274,101343272,115402378,129310889,142662123,155283068,162302322,150141383,137074361,136347730,122362220,107934572,93496471,93496469,107934562,122362195,136289313,122312818,122312815,136289305,136289352,136289351,149554255,161857962,173021622,182917931,182917989,182083484,182083483,190807898,182083476,172114239,172114240,182083479,190807902,191560308,182917609,262523630,149554056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348112, s2 = 11658691, dlinesl.size( ) = 8 s1 = 14079795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079795, s2 = 15067045, int(edited[s2]) = 0 s1 = 14079795, s2 = 15067045, d1 = 0, d2 = 0 Dl.O(d1) = 256620230,38081005,255243790,267927586,16912968,23177667,25107452,254639540,43881671,54624108,54624125,43881683,41730384,41730383,43881666,34610547,26621777,26621778,34610550,43881670,54624105,54624113,66881671,80310836,94367071,108654823,108654845,122919795,136751808,133612069,119738381,108654836,94367081,94367082,108654838,122919781,272167232,261066544,149893566,162105845,173206201,162105848,149893569,149893568,162105846,162105849,173206204,183057239,191666648,191666651,191666654,191666655,199070354,199070355,192347251,183871577,174201432,257994666,138763814,138763815,138763813,138763812,138763827,125434692,256805876,111631546,111631545,125434674,125434673,125434651,111631517,256805854,111631572,97710109,97710110,255782438,70325144,57634408,46289892,46289893,57634325,57634326,70325074,70325078,57634333,57634335,70325082,255782428,57634119,57634120,70324868,70324866,57634118,57634117,70324864,70324899,83850579,70324893,70324894,83850582,97709970,83850597,70324911,257994632,57634258,256805848,57634133,57634132,70324885,83850578,97709974,97710022,83850667,257384072,57634262,257384070,70325148,70325003,57634261,46289743,36436764,27978049,27978050,36436766,36436750,36436751,46289725,57634243,57634241,256805867,36436749,37807891,37807893,269331313,37807902,32280339,32280340,29243651,21924128,255063103,10975482,15838342,21924134,29243663,37807886,29243640,29243639,37807885,29243658,29243657,37807903,256909561,47729767,47729783,47729784,59128322,71866632,59128330,47729790,37807906,37807905,47729788,59128304,59128305,71866611,85451524,99392287,259966530,271792730,137404845,123673744,113393086,113393084,113393105,113393088,113393089,99392299,259369387,72137774,269337469,48020912,269807087,85722134,99669714,113682568,127251658,113393103,113393104,258897168,99423583,85722137,85722139,99669718,99669725,85722143,72137777,269337471,48020913,269807089,85722142,99406580,85482143,71897200,59159276,59159275,71897198,72137794,59407734,52386754,42042594,42042595,52386757,64242716,77393704,91312757,105530738,259967534,146886746,159257519,159257520,165369578,165369586,262353752,261305068,140907761,153581005,165117304,175841218,185345645,185325474,175819421,165093299,153278567,153278566,153304595,140624956,140597818,127251664,113393114,113393115,127251666,127251670,140597825,140624959,127279106,113420363,99418758,85477621,71893137,71893138,85477623,99418760,113393097,113393098,127251655,260124572,140624954,140624955,153304593,165117303,175819424,184331732,174714721,163903575,152039527,139332705,125981151,112144363,112144362,260721134,152039521,260124580,166033028,154280506,141624881,141624882,261342912,166033029,154280514,154280508,154280509,166033031,262387002,186089306,194296415,263574308,174714729,273090939,139332718,260494037,98181961,271293657,125981163,260494039,112144373,260494033,98181940,84286032,70734200,58019426,258646723,98181938,112144359,260494029,259273159,70734208,58019432,46646136,46646135,58019430,70734206,84286039,98181954,98181933,84286029,84286025,84286026,98181926,260494025,139332693,125981143,112144356,260494027,271819954,125981154,112144365,98181941,87010662,87010661,258796278,101004288,101004289,87010666,73395062,73395063,87010668,101004307,115075489,125981157,115075491,101004308,87010669,87010670,258796288,128584042,114686624,100641159,100641158,114686623,116406730,102314449,88318859,74691310,61897635,61897636,74691312,87828930,258254086,61444269,74148218,61367913,49887375,268676571,31182902,31678742,31678741,31166026,23677817,256002833,268991267,40045910,31365677,31365676,31678743,40372201,50407125,61897640,74691318,88318867,102314459,114746814 Dl.O(d2) = 256620230,38081005,255243790,267927586,16912968,23177667,25107452,254639540,43881671,54624108,54624125,43881683,41730384,41730383,43881666,34610547,26621777,26621778,34610550,43881670,54624105,54624113,66881671,80310836,94367071,108654823,108654845,122919795,136751808,133612069,119738381,108654836,94367081,94367082,108654838,122919781,272167232,261066544,149893566,162105845,173206201,162105848,149893569,149893568,162105846,162105849,173206204,183057239,191666648,191666651,191666654,191666655,199070354,199070355,192347251,183871577,174201432,257994666,138763814,138763815,138763813,138763812,138763827,125434692,256805876,111631546,111631545,125434674,125434673,125434651,111631517,256805854,111631572,97710109,97710110,255782438,70325144,57634408,46289892,46289893,57634325,57634326,70325074,70325078,57634333,57634335,70325082,255782428,57634119,57634120,70324868,70324866,57634118,57634117,70324864,70324899,83850579,70324893,70324894,83850582,97709970,83850597,70324911,257994632,57634258,256805848,57634133,57634132,70324885,83850578,97709974,97710022,83850667,257384072,57634262,257384070,70325148,70325003,57634261,46289743,36436764,27978049,27978050,36436766,36436750,36436751,46289725,57634243,57634241,256805867,36436749,37807891,37807893,269331313,37807902,32280339,32280340,29243651,21924128,255063103,10975482,15838342,21924134,29243663,37807886,29243640,29243639,37807885,29243658,29243657,37807903,256909561,47729767,47729783,47729784,59128322,71866632,59128330,47729790,37807906,37807905,47729788,59128304,59128305,71866611,85451524,99392287,259966530,271792730,137404845,123673744,113393086,113393084,113393105,113393088,113393089,99392299,259369387,72137774,269337469,48020912,269807087,85722134,99669714,113682568,127251658,113393103,113393104,258897168,99423583,85722137,85722139,99669718,99669725,85722143,72137777,269337471,48020913,269807089,85722142,99406580,85482143,71897200,59159276,59159275,71897198,72137794,59407734,52386754,42042594,42042595,52386757,64242716,77393704,91312757,105530738,259967534,146886746,159257519,159257520,165369578,165369586,262353752,261305068,140907761,153581005,165117304,175841218,185345645,185325474,175819421,165093299,153278567,153278566,153304595,140624956,140597818,127251664,113393114,113393115,127251666,127251670,140597825,140624959,127279106,113420363,99418758,85477621,71893137,71893138,85477623,99418760,113393097,113393098,127251655,260124572,140624954,140624955,153304593,165117303,175819424,184331732,174714721,163903575,152039527,139332705,125981151,112144363,112144362,260721134,152039521,260124580,166033028,154280506,141624881,141624882,261342912,166033029,154280514,154280508,154280509,166033031,262387002,186089306,194296415,263574308,174714729,273090939,139332718,260494037,98181961,271293657,125981163,260494039,112144373,260494033,98181940,84286032,70734200,58019426,258646723,98181938,112144359,260494029,259273159,70734208,58019432,46646136,46646135,58019430,70734206,84286039,98181954,98181933,84286029,84286025,84286026,98181926,260494025,139332693,125981143,112144356,260494027,271819954,125981154,112144365,98181941,87010662,87010661,258796278,101004288,101004289,87010666,73395062,73395063,87010668,101004307,115075489,125981157,115075491,101004308,87010669,87010670,258796288,128584042,114686624,100641159,100641158,114686623,116406730,102314449,88318859,74691310,61897635,61897636,74691312,87828930,258254086,61444269,74148218,61367913,49887375,268676571,31182902,31678742,31678741,31166026,23677817,256002833,268991267,40045910,31365677,31365676,31678743,40372201,50407125,61897640,74691318,88318867,102314459,114746814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079795, s2 = 15067045, dlinesl.size( ) = 2 s1 = 14079795, s2 = 15067045, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14079795, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 8338613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8390274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14094522, s2 = 2511270, int(edited[s2]) = 0 s1 = 14094522, s2 = 2511270, d1 = 14, d2 = 5 Dl.O(d1) = 40212768,40212769,40499860,50535035,62026640,59090821,59090823,50534901,40499734,40499732,46643679,36758191,28262983,21060901,21060904,28262992,30346788,30346789,38932686,47704977,47704976,47692211,37770755,29208976,29208975,37770751,47692204,46644615,46644613,37004828,37004825,46883961,58017276,58017275,46644053,46644054,46644069,46644068,36759003,36759004,46643642,46643641,50215277,40192986,31507417,31507418,40192992,50215286,61697385,61707361,50227699,50227701,58017047,70732178,70732323,58017665,46644309,46644310,46644330,46643663,36758182,36758179,36758178,46643659,58017103,61707376,50226233,50226232,255756230,49362504,58017268,46643887,36758347,36758348,46643889,38073025,38073026,47985417,46643646,36758691,36758692,46644359,49362294,39433030,39433031,39433311,39433312,36758327,28263060,28263059,256535542,256535544,46644466,58017743,256232762,58017283,58017282,58017208,58017209,49362499,39433324,36758709,36758710,39433342,39433317,30829397,23401481,17129003,12037825,8092870,5184890,5184891,8092874,12037835,17129020,23401421,30829298,36758794,28263344,28263343,28263416,21584401,21584399,28857484,37398373,46644444,36758769,36758771,46643855,36758310,28263054,28263053,36758306,31525854,31525853,36758901,30068058,22689148,22689149,22689167,22689168,28857467,21584392,21584391,28857464,37398352,37398403,43342023,39433016,30829145,30829146,31518427,39433093,48558422,39433139,30829243,23401386,17128948,12037789,8092852,8092851,12037784,17128941,23401371,30829090,23401303,17128905,12037768,8092840,8092841,12037772,17128919,23401330,30829085,30829282,23401409,23401410,21584421,21584420,28857517,29492631,29492632,38056671,39715994,39715991,31518871,24017367,24017366,31518864,40204977,40204976,50226620,256498152,48367866,38466379,38466378,48367863,50226633,257082924,40210960,40210959,48367890,59750341,72073983,60765414,49362193,49362194,53313179,42850684,36644215,36644214,46511797,57868250,49734309,39715561,31038061,23556044,23556042,31038067,31038149,24023061,17673248,12497714,8465645,8465647,11396655,11396653,16375529,17668585,17668502,12494148,12494149,17668546,12494127,12494129,17668550,24017124,24017270,24017271,31518790,40204495,40204885,38595826,30023082,30023081,38595823,48510676,40205069,31518763,31518762,28168902,28168901,31518525,31518524,254603332,39715515,31518656,24017143,24017144,31518657,267993052,24016831,17668316,12493967,8462489,5468264,3362884,3362885,5468247,3362877,3362876,3362937,1977300,1977301,3362944,5468361,8462624,8462634,5468367,3362948,3362949,5468373,8462649,8160774,8160773,12129384,14980905,14980904,20883490,17247487,17247488,17668670,12498393,8466149,8466148,12498388,17674112,24024116,22650096,16458716,11467800,7627997,7627995,11467792,16458712,22650087,17668612,12494180,12494179,12494206,8462591,254389922,17668651,17668695,17668451,17668350,17668336,12493980,12493981,12494193,8462608,8462607,12129049,12494010,8462459,8462460,12494012,8462639,8462640,12129089,12129090,17247135,14980916,10312953,10312954,14980921,12129330,8160733,8160734,12129334,17247506,23556621,24016897,17668372,12494000,12493998,16458753,16458752,22650143,30023184,38595868,40206035,31519864,31519865,24026825,24026826,31516869,31516788,24015483,24015484,31516792,24015535,17673710,12498126,8465997,5471863,5471865,3367810,3367808,5473006,8467117,12499613,12499679,12495006,8463380,8463379,12495003,17669547,24018254 Dl.O(d2) = 131501923,129930133,129930134,143258697,129930140,129930138,129930116,270803800,101984442,259909274,99863045,270323867,59579510,59579509,72314120,259383345,113882045,127757730,141115338,141115375,127757763,113882069,113882068,261178629,141115395,143258669,129930113,116031391,116031390,129930111,261089854,127757788,127757789,141115399,260601481,99863070,85907519,72314130,59579516,48193075,48193074,59579514,72314127,85907513,99863065,113882078,127757782,127757728,127757727,127757737,271337695,99863046,260601473,126285986,139655902,152376366,153788785,152376370,139655905,139655906,152376372,143258663,143258661,153788790,153788789,262719523,153788792,141115402,127757790,127757791,141115404,141115388,127757776,113882076,99863062,260601479,141115390,153788756,141115362,127757754,113882062,99863053,85907505,72314123,72314122,85907501,99863049,113882054,127757745,141115348,153788747,165570436,165570435,176247516,175054605,164248917,152376368,152376367,164248915,261802924,128101424,127757746,271841382,114212878,261200793,262261479,176247523,165570445,165570444,176247520,185701508,176247517,165570439,153788743,153788744,153788753,141115356,127757749,113882057,260601477,127757743,141115346,153788742,154212989,154136509,141466905,128101414,128101415,141466908,141115353,260601475,260083724,86216901,72618424,59880060,48488539,48488538,258156545,86216891,100180665,261200791,141466938,141466937,154136536,154212973,154136530,141466932,139655897,259545944,113882073,127757773,141115386,128194880,128194881,141551493,154136538,141466939,141466940,154136540,260757530,165900493,154136522,141466919,141466920,143734028,156260392,154136532,141466934,128101442,114212903,114212901,258921058,153788748,141115351,140195126,260358348,112993312,126847034,128101417,114212871,270880290,72618422,72618421,86216895,100180671,114212869,114312020,260630072,154136524,141466925,128101429,114212884,100180687,86216907,72618427,59880062,59880064,72618433,86216913,100180695,114212907,128101448,114312076,114312078,128194884,130413829,116575080,102476998,102476999,114312019,114312057,272224831,141466903,128101412,114212864,100180668,100180667,114212862,114573028,100542952,100542951,114312028,100281637,100281636,114312023,128194842,260757534,114212883,100180681,86216904,86216902,100180678,260623737,272569193,154136529,141466929,128101436,114212895,100180690,86216910,259405659,114212897,114312011,114312056,114312055,128194865,141551481,154136507,141551484,141551483,154212985,154136506,141466899,141466898,154136504,262267240,154212977,141551463,141551464,128194878,114312072,100281677,86319572,259412525,260630071,128194859,114312049,100281661,86319560,72722079,59984605,48592555,38676025,38676022,48592549,59984597,72722066,86319535,86319589,86319588,100281669,86319564,259412521,270910706,258281118,88173395,102164208,114312012,128194838,259412532,258281122,258281120,116225192,260142448,128194850,114312043,114312042,128194831,114312007,100281621,86319530,86319531,100281624,259412528,259412526,86319553,86319552,100281652,114312037,128194846,141551469,140195121,126847026,126847022,116225190,259412530,100281629,102164213,88173402,74558530,61774927,50295271,40274188,40274187,50295268,61774924,74558521,88173393,99004067,85078595,71506556,71506557,85078598,99004069,88173397,88173396,102119346,116177216,114312034,100281649,86319551,72722074,258787695,93491301,93491299,107929195,122356081,126847028,112993301,99004036,99004035,112993299,126847024,116031377,101984429,88008908,88008909,101984432,99004050,85078583,71506549,58777209,47390031,47390030,58777207,71506544,85078575,99004041,112993307,114312030,114573008,116225194,102164209,102164210,116225196,112993325,100542900,100542899,112993321,99004054,99004055,112993323,126847048,140195135,126847049,112993329,99004062,85078591,72985348,72985349,257862216,88173389,88173390,102164204,116225188,112993294,112993292,126847017,140195116,152886269,164718032,152886275,152886276,261841262,167789334,262055344,261841266,128456278,114573001,114573000,128456275,114573012,100542914,86582290,72985353,60250031,258184651,86582292,100542906,100542907,88405142,258268574,114573019,101897896,100542880,86582253,86582254,72985345,60250027,48857429,38938182,30352236,22950522,22950521,30352235,38938177,48857425,60250021,72985338,86582266,100542886,100542918,86582295,72985355,60250033,48857432,38938183,38938184,48857434,60250037,72985363,72985386,86582264,86582263,100542884,101897897,100542881,86582256,72985328,61977346,257076992,72985400,72985342,72985336,60250015,48857423,48857422,60250012,60250018,60250019,61977351,61977350,61977352,74773591,87923954,101897893,259514834,260123615,94380331,94380330,259518245,269876805,50188221,50188224,48857452,38938195,38938194,30352254,22950532,16713689,16713690,22950533,256452255,48857471,258184659,86582332,100542944,100553503,100553500,86591712,72993924,60258140,60258139,72993923,78817175,65486740,53465957,42990840,42990839,53465955,65486738,270576047,74455256,61672095,61672096,74455259,86582333,72985499,60250150,48857506,48857505,60250144,48857501,48857504,50188226,50188227,61672098,74455261,88067337,102052788,116110574,114585705,114573022,100553496,86591704,86591703,270864471,60258153,48865076,38945367,38945366,256996320,72993937,85049207,98974301,98974304,98974302,85049219,71477539,61301394,61301395,74082520,87689477,98974285,86582418,86582417,72985488,61301418,49821680,49821681,53465953,258865703,86591725,86591724,100553509,114585706,128471615,140166999,126817099,259943619,85049211,259276746,47361428,37455284,37455285,47361430,58748324,71477515,269361478,49821665,61301398,74082524,87689478,259324551,71477512,71477511,61301406,49821699,49821698,61301441,61301437,49821695,49821696,61301438,61301447,60176645,48782223,256524555,31376663,40058967,257071527,40058963,39800899,39800900,48857497,50080276,257654335,74338269,80367246,66941689,257290971,257290969,66941687,61416070,54685343,54685344,257217892,257881863,54580629,54685349,54685348,66941722,80367286,87798066,74194727,61416085,61416083,74194722,87798060,80367272,257809182,54685329,43942743,34668577,26675407,19858188,268330765,34668579,43942747,269615199,78407354,65125492,65125493,259137139,80367229,94420830,94420867,94420827,80367225,66941673,66941672,80367222,94420820,101770264,101770263,115815819,129714543,122973509,122973508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14094522, s2 = 2511270, dlinesl.size( ) = 2 s1 = 14094522, s2 = 2511270, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14094522, Dl.E( ) = 22, 2.69e-05 seconds used appending s1 = 9832801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8427287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8427287, s2 = 14249359, int(edited[s2]) = 0 s1 = 8427287, s2 = 14249359, d1 = 43, d2 = 39 Dl.O(d1) = 254978461,9948024,14459436,255748235,35134199,35133695,255695262,55357251,50893439,40777210,255931424,18040741,24459506,24459303,18040601,12788255,12788251,18040597,24459296,18205411,254633508,5720637,3561348,3561347,5720635,8783681,12912561,13163812,14007101,14007102,13163859,13163857,13618830,13034252,13034255,9564489,8953229,8953226,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136753,9441255,9441258,7141559,4496604,4496602,5008471,5008474,5805443,5805440,8897171,13057146,18382667,254624600,24537767,18104485,12837264,12837267,14047050,14047049,14495887,9974225,6555372,6555369,9974230,255335759,27101786,35190680,35104258,27019090,20128150,14436187,9930427,6526320,254690447,14436185,20128148,27019086,35104251,44480581,55326588,67666467,81133171,95191361,90103634,76290126,63269526,63269525,259608791,86701769,258812753,60359921,48964678,39043214,30453679,30453678,257001579,39043228,39043227,48964701,60359949,73098299,60359936,48964689,48964690,60359940,60359943,73098286,86701771,100674940,114721192,259646506,90680997,76812459,76812460,90680998,85564743,71977617,71977618,85564744,95083919,95083920,109338591,120143836,105931809,91724274,77796431,64613818,257802112,42326315,258417909,38729136,38729137,48650354,60047006,72785819,86381966 Dl.O(d2) = 91442045,89581527,89581526,103697476,271818741,86381934,89581532,259261219,70512681,57811341,46455174,36588991,36588990,46455171,57811334,70512667,75799132,75799131,89581556,75799140,62834923,258333509,89581571,103697505,100339465,86381949,72785812,60047003,48650352,257558507,72785802,70512695,57811353,57811351,70512690,84047969,97918623,97918748,84048093,258010147,57811325,46455167,46455166,57811323,70512645,84047910,97918556,97918711,100339434,86381916,86381915,97918713,97918714,100339488,100339487,100339499,260482005,261613727,125668529,261209141,114364368,100339465,100339464,111852798,97918626,97918627,84048030,84047896,84047897,97918543,97918545,100339492,86381979,77511985,70512741,57811379,46455195,36589001,36589000,46455192,57811376,70512691,57811405,57811406,70512787,75799080,62834883,62834882,75799075,84047944,97918589,97918570,84047926,70512658,57811342,46455174,36588991,36588990,46455170,57811330,70512660,84047930,258634627,57811406,70512787,84048098,97918754,105665690,91442044,91442043,105665706,103697488,89581547,89581548,84048082,70512770,62834885,62834886,70512751,70512750,72785778,72785777,75799116,62834908,62834909,75799119,89581549,272694658,259261221,86381917,84048014,70512779,57811401,57811400,70512776,84048029,70512735,70512734,84048035,97918689,103697474,97918725,84048069,70512762,57811389,57811390,70512764,84048072,97918727,271755197,86381873,72785745,72785744,86381871,97918556,97918711,100339434,86381916,86381915,97918713,97918714,100339488,100339487,100339499,97918720,84048067,70512760,57811386,258010143,259261243,111852819,103697483,89581537,75799104,62834899,51184799,51184800,62834902,75799105,75799093,75799094,89581530,103697479,98611390,84686717,84686716,98611389,112606500,117852039,111852802,97918636,84047987,70512703,57811359,57811360,46455207,36589007,36589006,46455205,258010145,84048076,97918728,97918596,84047947,84047946,97918594,89581519,75799087,75799086,89581517,103697469,100339488,100339487,100339499,97918720,84048067,84048066,84048097,97918752,108706058,94419071,80365445,66939955,66939956,54683694,54683670,43941000,43941002,43941011,54683686,43941021,34666895,26673730,256203789,34666883,26673717,19856634,14225920,14225919,19856633,19856650,19856649,26673719,19856636,19856637,26673720,34666885,257290777,66939941,66939942,80365420,80365422,259136923,108706061,122971710,108706084,94419063,80365439,66939951,66939950,80365437,94419059,108706087,271525790,108706092,111656144,97735306,83876376,83876377,97735308,111656145,100014240,86050987,72452381,72452382,83876378,85658555,85658556,97735307,97735300,83876369,70351438,70351437,83876367,97735296,97735320,97735319,111656156,125458607,138787399,128615192,128615191,114718318,100671750,100014248,100014247,86050997,72452391,59715964,48329968,48329969,59715966,72452395,259394001,49024995,258193599,86788219,100769310,100769301,100659281,100659282,100659283,100659284,114704670,100659277,100659275,114704667,114704657,114704656,260429778,136403714,128601462,128601448,114704655,100659266,86686557,73082392,60342592,60342591,258812175,86686547,259436245,73082402,73082403,259436249,86686558,73082394,73082393,86686547,73082386,60342588,48945642,39022565,39022566,256183760,16784711,16784710,23026684,25852645,33657847,42688334,53139208,55288591,67626544,72464187,59728645,269292856,269292854,75808004,75808003,89590465,103706265,92769381,78705459,65400721,53397111,42930565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8427287, s2 = 14249359, dlinesl.size( ) = 30 s1 = 6744173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15060492, s2 = 1507349, int(edited[s2]) = 0 s1 = 15060492, s2 = 1507349, d1 = 28, d2 = 31 Dl.O(d1) = 46918908,38434459,29875330,256413137,48338342,59722994,256548052,72458803,72458804,72458797,256957794,255918236,22518230,22518231,257535871,72458799,84339110 Dl.O(d2) = 256415416,38434455,48338337,59722985,72458794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15060492, s2 = 1507349, dlinesl.size( ) = 2 s1 = 15060492, s2 = 1507349, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15060492, Dl.E( ) = 42, 1.69e-05 seconds used appending s1 = 9342745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9342745, s2 = 14047732, int(edited[s2]) = 0 s1 = 9342745, s2 = 14047732, d1 = 1, d2 = 3 Dl.O(d1) = 9713654,9713659,14118688,9714069,7267232,7267229,10979472,15843652,21930716,21930717,268935135,255177656,19403982,26093333,33926544,42980001,53454105,42979999,268441530,33926542,42979998,257072164,257654900,84366965 Dl.O(d2) = 21428647,25507546,28504680,28504681,21382143,15399551,15399550,21382134,28504721,28659682,28659664,28659658,28659659,37068234,37068235,46947652,38839747,30256249,30256250,38839751,47017925,47017913,37130445,28618690,21382153,15399557,15399558,21382156,28618697,34258257,37194433,28672276,21424861,21424863,25507550,25507549,33268180,37186117,28665048,21419135,15428553,15428554,21419142,28665061,36834257,33268200,33268199,38839881,42474504,33481121,33481122,37556075,37130428,28618678,28618676,32035857,30913871,30913870,30256295,30256292,33268316,25507695,25314774,25314773,33042704,38839762,38839765,37556101,37199721,28676972,21428603,21428604,28676974,22860882,19080970,13622614,9328056,6110276,6110274,9328052,13622608,19080960,22860343,16634030,16634029,22860266,22860156,22860155,28151140,20973053,20973056,28151144,30255201,33480995,25707479,19080534,13622340,9327915,9327913,13622335,13465744,13465745,18897321,22859702,22859722,22859720,21723308,15678433,10854254,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603270,16454562,22169485,16046002,16046005,13622355,13622354,19080569,22860131,16633845,16633843,22860124,30255335,38839006,38637345,30255437,268527198,26405628,22859664,19671309,19671311,14244195,14244196,15372262,14244179,9791864,9791863,6845743,4295534,2946204,2946202,4889019,7723882,11602671,16633199,22859236,30254364,30254363,30254662,30254244,22859125,22859126,30254249,36624456,28151091,20973013,15062601,15062602,20973016,28151097,30675270,23259026,16995884,16995883,18737062,13338727,13338728,18737066,22860098,16633824,11603100,11603099,16633820,22860094,18737095,18737096,19671291,14101378,9698963,6379022,6379023,9698968,6437305,4038066,4038065,6437298,6379109,6379108,7723870,11602653,16633177,22859204,30254343,34695924,34695925,38839611,38838915,38838914,33042168,33042166,38838047,34280477,34280478,30885312,25314468,25314469,26404408,19671269,19671270,267942292,9699294,9699296,14101839,19671902,19671924,19671925,26406331,34281069,33042181,25314315,18737079,18737081,25314321,25314388,25314368,25314367,26405670,19671281,19671280,19880350,26701271,33042450,25314657,25314656,26405050,19670725,14100939,14100938,19670701,26404911,25314682,18737315,18737316,25314687,33042628,41986300,33042468,25314553,18737236,13338822,9113652,5962943,3728836,2232502,2232503,3728843,5962956,9113681,13338884,12076931,255539331,30885513,39491717,49421427,60821512,73568538,87187114,87187116,86888287,73276952,73276953,64262138,52406939,254894626,25379164,18794376,13387691,13387692,254894624,33114370,42063259,52406942,64262141,66871411,54613641,54613640,54613643,43871256,34601057,26613756,19805382,14186457,9752323,9752322,14186456,19805381,17173173,17173171,17173172,23449381,25244215,32966092,41905480,52242776,64090262,77234640,91150438,260253731,133462548,146708986,159072460,170406125,170406122,170406123,180538521,189444461,264044149,190195191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9342745, s2 = 14047732, dlinesl.size( ) = 2 s1 = 9342745, s2 = 14047732, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9342745, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 8122387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8369535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8289313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088552, s2 = 2761707, int(edited[s2]) = 0 s1 = 14088552, s2 = 2761707, d1 = 45, d2 = 23 Dl.O(d1) = 21198441,21198442,16419544,254786293,267978743,5966659,5966660,7591023,4801668,2894132,1679580,955422,955421,1679572,2894118,4801653,7590996,4811057,2899520,2899519,4811050,7604738,11437005,16420908,11449900,11449901,14507446,11414323,7696781,4871154,4871156,7608912,4813664,4813662,4897385,7735294,11615124,11554604,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629868,2789181,2789179,1680621,955941,955940,1680615,2896165,4805363,7596706,11427865,14575768,254614830,4129512,2470208,2470212,4129528,3535929,2104627,2104629,1680135,1680140,2895228,4056429,4601899,7296452,11020897,15897691,21996496,256371436,20141047,27033886,35120796,44498338,46853712,36975013,256222852,18964265,13528666,9259332,9259331,255268743,13103805,13103803,18446625,21237846,16802715,16802714,23048213,23920541,23434314,17158662,17158663,15802929,10950042,7246710,7246711,10950025,7246702,4569127,4569128,7246706,10950032,10545160,6954546,6954545,10017747,12935978,12935977,18237085,17561454,17561456,16082733,15846609,15846608,12306050,12306051,17456362,17567679,254853687,7843466,7843465,11747712,11245259,11245246,11245245,10556879,6962766,4374508,2620420,2620421,4374513,6054521,9244286,13510478,13532903,9262900,9262901,13517168,14999470,20904187,17401808,17401810,20971229,15061053,10386007,10386008,15061057,17574839,12403011,12403010,17574837,23721367,17397506,12260307,12260306,17397504,23721365,31207897,32632139,29611721,29611720,32632142,32632141,38178542,29611728,29611726,32110179,28734611,28734612,23704110,23704111,23078461,16826320,16826321,22212412,16081204,11167992,7409127,7409126,255079897,15349571,10603742,6996325,6996324,10603740,15349568,21320112,23376538,19173752,13692010,9376967,9376966,13692004,19173744,25825003,33626821,30805324,23377229,23377228,28543297,21320007,21320006,21320302,15349645,15349647,21320311,28543747,37042863,37042750,37042749,37042757,37042756,33626837,33626838,30804551,30804550,35148573,30804559,30804560,36561145,28091180,20917084,15011039,15011040,20917087,21320076,28543398,28543663,21320249,21320041,15349510,10603705,10603704,10603712,15349520,21320057,28543363,37042340,37042339,37042350,28543652,21320244,21320246,28543658,33626811,37042396,28543529,21320166,21320165,21320146,21320145,28543503,28543736,37042850,37042858,46920744,37042742,37042545,37042546,46920554,42655729,42655730,46920497,44525097,44525095,46920484,46425323,46425324,36561138,28091172,28091165,28091166,36561128,46425319,37042381,28543356,28543336,21320035,21320024,15349500,15349502,15349516,21320048,28543352,37042344,28543327,21320028,21320027,28543321,37042334,37042731,46920734,53107697,46920601,37042591,28543518,21320154,15349595,15349596,21320160,28543519,37042593,46920608,58286509,58286363,58286362,58286347,58286349,58286422,46920540,37042537,28543483,21320133,21320131,28543479,37042531,46920531,58286406,71001626,71001627,58286439,58286440,58286164,46920308,46920307,58286161,71001359,84565278,84565334,71001405,58286200,46920335,46920336,58286181,58286471,46920582,37042575,37042560,37042561,46920569,58286454,71001710,84565660,71001745,71001744,73492122,73492121,87110890,84565729,71001751,71001739,71001738,84565525,84565277,71001659,58286414,58286416,71001665,71001604,58286382,46920516,37042519,37042520,46920519,58286387,71001617,71001622,71001621,58286443,58286442,71001650,71001649,84565289,71001579,58286367,58286368,71001583,84565322,84565313,71001394,71001380,71001381,84565307,98488353,98488690,84565635,71001690,71001689,84565632,84565654,98488710,84565705,84565704,98488783,98488796,101108997,112479915,112479917,126347377,126347362,112479894,98488336,84565608,84565607,84565563,84565561,98488601,84565559,71001597,58286376,58286375,71001593,84565555,98488593,98488636,84565623,84565622,98488675,98488661,98488663,112480209,98488578,84565541,84565542,98488583,98488872,98488873,98488362,98488361,112479922,112480479,126347386,112480342,98488686,84565626,84565624,98488682,112480338,112480468,112480470,126348011,139723717,139723852,126348018,126348019,126347380,115186647,115186648,112480239,112480240,112480804,126347751,112480235,112480234,112480307,112480229,112480230,126347743,126347795,112480278,112480274,112480275,126347808,112480321,112480323,112480366,126347821,126347820,126347729,112480206,98488919,84565803,71001804,58286526,58286525,71001797,84565790,98488896,112480609,112480352,112480354 Dl.O(d2) = 81057085,259154715,55247880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088552, s2 = 2761707, dlinesl.size( ) = 2 s1 = 14088552, s2 = 2761707, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14088552, Dl.E( ) = 46, 2.29e-05 seconds used appending s1 = 14972861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3654158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14118773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14118773, s2 = 14096183, int(edited[s2]) = 0 s1 = 14118773, s2 = 14096183, d1 = 21, d2 = 19 Dl.O(d1) = 164273621,152399590,139676662,126303981,112439238,98449787,84527863,70964289,58247755,58247754,70964288,84527865,98449792,101143224,100375632,87144940,73525882,60777696,49376261,49376260,57832166,46476366,36610383,28136655,20958634,15049589,10376176,10376178,13346988,13346987,15594603,15594602,21625344,28900386,22465903,16297806,16297805,21627531,254486650,16522596,15596653,15596651,14536197,12339943,8336624,8336622,12339936,14926788,14926786,18522524,14975914,10308445,10308443,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,10045801,6601554,6601550,10045794,14599489,13173540,13173538,14216634,19843988,25616805,19002994,14946393,14946391,19003026,25616851,28899267,21624101,15593497,15593496,13327236,9106081,9106080,13327233,18721710,14940281,14940280,18721729,18721728,25296094,24226160,24226161,31734727,29592788,29592789,38159132,41965028,33022299,33022300,41965029,52305464,64156943,77305219,258276512,84902319,256846564,81204208,95260154,109514249,123705994,109515338,95261261,271171823,95261702,85497717,71912863,59175114,47776422,37853218,29285052,29285053,30537042,23118138,16858537,11791134,7873657,7873658,7108437,254485108,15554935,21578226,28849473,21577734,15554933,15554934,16858535,21577193,15554092,10758108,10758103,7107808,7107807,10758102,10758492,7108124,4475217,2688575,2688577,4475221,7108128,10758494,10758409,10758408,10758147,7107850,254504929,2688448,1557255,885301,885302,1557257,2688452,2688456,2688455,1557512,1557513,2688935,2688809,1557439,1557440,2688813,1557534,885455,499572,280135,154642,84793,267737119,280130,499562,885434,1557505,2688921,4475757,7108814,10759255,10759304,10758656,7108288,7108286,7108322,254504961,4475261,4475488,2688751,2688752,4475493,7108356,7108357,7108707,4475679,2688871,1557470,1557469,2688866,3781230,3781232,6043272,9227243,13486671,12681509,12681508,15555092,255043093,7108869,7108868,10758975,15555075,17924591,23292566,28850179,28850180,21578401,21578402,28850192,37390041,47299135,58689834,71422904,84996177,98920975,98920977,84996178,84996179,271310385,126761037,112908519 Dl.O(d2) = 99817725,85864479,85864480,99817726,113832834,126761038,126761037,112908519,98920974,84996176,84996175,98920972,112908518,260597479,113832834,126761038,126761037,112908519,98920974,84996176,84996175,98920972,112908518,126761036,127702219,113832833,99817725,99817724,112908517,112908518,260597479,113832834,113832839,99817732,85864485,72272972,59539310,48152869,256942307,29679181,29679182,38243972,48152856,55402027,55402028,67741064,58822786,47436245,47436244,48636929,38719056,30139508,22753739,16542633,11529500,11529501,16542635,22753743,22753733,16542630,16542631,22753734,30139500,38719051,48636930,60029861,72766852,86363812,100323647,114350592,128229445,141581207,137284432,123552219,109360616,95106447,81049068,67581300,55239467,44390468,268547249,20045902,14360336,9867480,6481971,4061825,254213957,800187,800188,1406132,2430965,4061836,6481994,9867527,14360420,20046027,21167558,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547422,7217372,10913125,15757230,21824467,23479763,17196830,254970566,30916761,26947944,20063006,14378829,9884829,9884828,14378818,20062987,26936961,26929973,26929972,28979568,21697145,15657110,15657108,21697137,22680632,22680634,16790215,16790216,23033697,29493583,29129838,21822872,20040324,20040325,26925605,35007426,33690717,28864250,21589891,254797786,23539161,23539162,31020301,39697354,49716118,55240335,255427196,49361993,44398020,35022646,35022645,37694856,29133857,26899858,21590939,21590940,28718610,30192521,22802330,16585264,16585265,22802332,29496658,22157601,16036406,11134656,11134657,15983702,15983701,15564647,12415639,8391707,8391711,12415647,10280397,9868032,6482301,4061987,2431037,2431038,4061990,2432116,1406747,1406745,2432094,4063990,6485587,6494196,6494193,9884138,14378122,14356278,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,4062706,4062705,6483482,6481901,6481902,9867339,14360081,20045463,26931315,35011864,26961727,20077731,20077732,26961731,30057609,23400960,17128631,17128630,23400958,21782644,21782643,22459282,29826656,38398957,44358922,38631229,255127800,21785888,255740052,37403662,37825546,29260262,21939084,15850998,15850999,20017342,20017341,26899451,254972592,37406594,28865442,21590949,15564649,10765575,7113011,7113010,10765573,15564644,21590933,28865422,22808243,18818625,18818623,22808270,16590823,15563197,15563198,21588962,28863198,37404570,30171928,22783296,16567627,16567628,21789024,21789023,29086436,22783269,22783270,29062495,28817703,23306109,23306110,22156062,255327240,11133942,16035271,22156060,29495049,31323507,31323508,35034151,26954092,20069744,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198620,30057054,30057052,30198528,255114284,25144689,18589025,18589026,25144691,30196359,38780898,30724106,30724107,37402957,254796122,30196354,22805573,16588172,16588170,268414571,256982831,58237370,46869636,36990940,28493656,21276674,15314808,10577420,10577419,10515201,6934341,4357224,2624090,2624089,4361045,2614398,2614399,4357196,4352900,2611850,2611849,4356164,254494009,2609871,2609870,2606177,1503966,1503965,859264,485084,272871,151219,83127,83126,151216,272864,485069,853586,482088,271306,150403,150404,271310,482098,483314,484599,483331,483328,855780,1504755,1504756,2607338,2612497,4360039,6938335,10520913,15250451,21219357,28445352,28445935,21219856,255380434,255387123,28429962,22161056,21208411,15241950,10514718,8606251,5592639,5592638,8606249,12672842,15243152,10515839,6934871,6934872,10515842,15243157,17904102,12683596,12683597,8615415,8615416,12683967,17494923,12335492,8333320,5378442,5378443,8333323,12335502,17494940,21274566,17891574,16494857,16494856,17891160,15316432,12672743,12672744,17891166,21113192,21113191,24285853,21216122,15247830,15247829,21216118,17891269,12672835,12672832,268030664,17891271,17891272,17494825,15239575,15239574,17891619,12673185,8606498,8606499,12673190,11132448,7384267,7384266,4665253,2810667,2810666,4665250,7384379,11132600,16032943,22152996,29491983,38056060,47969350,59360375,72093915,85680607,99629855,113643695,127515277,140870636,141954119,128592721,114695338,100649830,86676865,73072137,60331630,48933784,39010333,30421002,23015859,16775843,11729122,7830564,4970522,4970523,4970655,4970656,4970669,4970503,4970501,6095739,4970455,4970456,254807607,16775582,268290809,18659927,25228160,32947018,32946983,25228123,18659891,13268538,13268540,18659900,23016611,23015715,23015612,16775648,11728975,7830470,7830471,11728956,16775609,20186127,20186128,23015621,30420711,23015600,23015602,30420717,30420657,30420537,30420536,25658317,23015459,23015458,30420529,23015720,16776067,11729243,11729242,16776062,16775836,11729114,11729113,11729352,16776229,23016423,30421693,39011124,41880926,41880925,35172890,27084416,20186116,20186119,27084423,32946978,25228118,18659888,18659887,25228112,23015592,23015593,16775636,11728968,7830465,4970466,4970465,7830461,11728961,16775624,23015583,30420689,39010010,39010031,256999733,60331309,48933525,39010048,30420734,30420733,39010045,39010813,30421430,30421429,256999797,60332018,67736489,55397307,55397308,67736491,55397309,44550569,44550567,40460200,39010055,30420739,30420738,39010039,39010041,39009991,30420670,23015570,16775616,16775617,23015574,17876096,17876095,24253736,31765695,30420698,30420699,39010019,48933506,39010613,30421265,30421264,39010609,39009984,30420666,24253782,24253781,31765758,31660642,24150155,24150153,30422010,23016659,16776437,11729513,11729514,16776444,23016676,30422027,39011541,40460211,31765712,31765710,40460209,50496094,48657756,40218001,31532176,24150146,17783063,12585800,8538166,5536125,5536126,8538174,12585807,17783076,256038479,257676609,72387264,59652808,59652809,258763519,257679677,40393763,31701324,31701323,257096361,61917343,74710780,88338796,95206041,81148698,67682578,55342733,55342732,55342780,55342782,67682574,55342725,44496446,35119159,35119158,44496442,55342715,67682566,81148628,81148629,86676256,86676268,73071491,60330941,48933154,39009691,30420401,30420399,39009686,48933147,60330931,67682637,55342795,44496479,44496480,55342799,67682642,81148790,95206122,100649224,114694818,123653637,109460909,109460907,123653595,109460839,95206014,95206015,270390580,73071478,86676234,81148695,81148696,95206040,95206101,81148760,81148661,67682550,55342703,44496435,44496436,55342706,67682554,81148669,86676222,86676221,100649216,100649256,100649233,86676241,73071480,60330936,60330937,73071484,86676248,100649243,95206118,81148781,81148774,67682631,55342790,55342791,67682633,81148777,95206112,109460923,109460912,95206095,81148754,81148755,95206098,109460863,259162511,67682561,67682560,81148681,95206024,100649230,114694821,114694988,123653631,116380894,271659373,95206003,81148659,259162507,109460842,100649213,86676216,73071465,73071464,86676212,100649211,100649223,86676229,86676228,86676236,86676242,86676243,100649239,103264627,109460853,95206007,95206006,95206108,81148767,81148768,85129357,85129356,99054083,113042055,123653628,109460905,95206090,95205999,88297810,74672315,74672314,88297807,81148678,81148675,95206019,100649441,86676479,86676478,100649439,102291188,102291187,116380896,109460847,109460848,109460917,116380919,116380918,126894864,113042048,99054072,85129363,85129360,86676493,73071773,73071771,86676491,100649459,114695002,128592457,114694993,100649447,86676481,73071751,60331281,48933484,48933483,60331277,73071784,86676503,85982193,85982194,99940285,89175052,75427771,75427772,86676470,86676469,88297803,102291180,116380893,116380905,102291205,88297847,88297846,86676475,86676474,99940313,88297821,88297822,88297888,88297902,74672413,74672412,88297898,102291231,113042052,99054078,85129351,71558867,71558868,73071781,60331272,48933479,39009995,39009994,48933476,60331261,73071757,61880255,61880254,73071786,60331283,48933487,48265883,38354872,38354871,48265856,48265855,59652750,72387206,85982198,99940291,102291211,99940350,85982265,74672348,61880262,50390598,40355688,40355689,50390602,61880265,74672353,61880333,50390643,50390642,61880316,50390633,40355706,40355707,50390638,61880319,74672418,72387225,72387224,74672324,74672310,61880235,61880237,73071768,60331266,60331263,73071763,85982260,72387255,59652789,48265872,38354869,29782119,29782118,38354864,48265866,59652773,72387236,85982237,99940274,88297836,88297837,89175310,89175309,88297868,74672377,74672373,61880286,50390615,40355695,31660687,31660688,40355700,50390625,61880297,74672388,61880324,61880323,74672397,61880305,50390630,50390631,61880309,74672404,88297883,88297797,74672326,61880245,50390589,40355681,40355682,50390591,61880251,74672331,88297829,99940317,85982229,72682238,72387239,59652777,59652761,48265861,48265860,59652759,72387221,85982222,99940309,103264798,89338967,89338968,103432575,95343442,88297815,88297816,74672365,61880282,61880281,59652742,48265852,38354857,256950495,50908565,269916027,89175044,103264624,89338972,75580039,75580037,77186242,64049116,52210322,52210320,62607939,50985469,50985470,62509206,50908869,50908868,40792167,32034929,32034928,40792163,50908561,62508894,62509200,62508901,62508900,75427758,75428171,62509432,50909097,40792215,40792216,50908597,40791720,40791698,32034543,24471953,24471954,32034529,32034530,40791684,50908554,40879325,32106724,32106725,40879327,40791733,40791732,50908607,55477859,44628094,35244377,35244376,44628090,50908633,52210330,41880982,41880976,41880977,50909013,50909012,62508949,50908622,40791739,40791740,50908627,62508888,50909020,50909019,62509349,62509192,62509184,62509185,62509435,50909101,40792224,32034974,32034973,40791725,32034565,32034566,32034556,32034554,32034533,24471949,18051658,12797233,12797234,18051661,18098188,18098187,24530419,32106729,40879330,40791717,32034561,32034560,40791714,40791706,40791707,40791749,40791748,40791975,32947045,25228186,25228185,32947043,32034899,32034900,40791992,32034792,32034576,32034577,40791744,50908629,62508953,50908859,40791970,257120795,62509195,62508931,50908599,40791722,32034597,24471993,24471992,268458529,24472199,256570599,50908861,40791983,40791982,40791239,32034212,24471730,24471731,24472201,24472010,24472008,24472207,24472206,32034910,40792151,50909023,40792237,40792236,50909109,50908848,50908849,50908602,40791729,32034654,24472059,18051743,12797303,12797304,12797257,8700573,5663316,5663315,8700568,12797249,18051688,24471996,32034586,24471985,18051811,12797357,12797356,18051669,24471967,18051813,255606889,18051899,12797419,12797420,12797264,8700577,5663320,5663319,8700519,12797140,12797374,8700653,8700652,12797371,18051842,18051908,12797426,12797427,18051910,24472262,32034981,32034627,24472029,18051713,18051714,24472032,24472214,18051861,12797389,12797390,18051865,18051691,12797251,12797252,8700582,8700583,12797274,8700595,254885017,8700611,12797142,8700636,8700637,12797292,18051729,12797345,8700632,8700633,12797347,18051799,255213943,8700607,5663346,3522281,2095491,2095492,2095501,2095500,3522298,5663367,8700655,254885029,12797433,12797434,18051916,24471761,24471756,24471757,32034266,32034781,24472136,255213947,8700679,5663381,3522303,3522301,5663372,255213961,12797152,8700526,8700528,8700629,8700630,12797340,18051792,24472121,32034766,32034776,40791641,32034500,32034501,24472225,18051877,18051878,24472227,32034939,32034652,24472043,24472044,24472037,24472038,32034639,32034449,32034450,24471909,18051627,12797206,8700549,8700550,12797209,18051630,24471916,32034329,24471808,18051560,12797169,8700535,5663294,5663293,8700531,8700537,8700538,12797175,18051573,24471832,32034372,32034308,24471794,18051551,18051552,24471796,32034310,40791414,50908254,50908207,50908210,40791464,32034347,24471914,24471912,32034491,40791630,32034503,32034299,24471788,18051545,18051544,24471784,32034296,24471887,24471888,32034460,32034267,32034269,40791289,32034242,32034243,32034647,32034646,40791435,32034323,32034325,32034739,24472105,24472106,32034344,24471817,18051565,18051564,24471814,32034340,32034367,40791492,40791401,40791400,50908242,50908839,50908249,40791410,40791409,50908248,62508617,62508684,62508677,50908316,40791461,32034488,32034487,40791625,50908472,50908230,40791391,40791380,32034290,32034289,40791373,40791592,40791591,40791595,40791594,50908350,50908349,50908097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14118773, s2 = 14096183, dlinesl.size( ) = 2 s1 = 14118773, s2 = 14096183, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14118773, Dl.E( ) = 22, 2e-05 seconds used appending s1 = 15263062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8221581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8221581, s2 = 11575422, int(edited[s2]) = 0 s1 = 8221581, s2 = 11575422, d1 = 175, d2 = 57 Dl.O(d1) = 9119726,5967300,3731529,3731531,5967303,8196547,6881242,6881241,10438319,15134544,21069679,28272632,36767634,31082026,31082025,25498921,18893261,18893260,25498917,33249985,31082138,31082139,39347881,30748220,23326724,21334273,15361084,15361085,21334277,28560542,31300311,23814097,17479816,17479817,23814101,31300319,39974858,42905135,53371192,47993394,47993393,39759811,31359119,31359118,40039103,49778790,42212055,39760052,31082196,23598476,17286040,17286038,23598480,31082202,28272586,28272585,28272608,28272625,28272627,36767625,46652281,39759823,31082014,23598358,23598359,31082018,39759830,46652204,39347874,39347873,49274083,60674561,73421730,71021944,58306563,58306565,47437691,47437690,53881031,53881032,59524657,48137528,42905147,42905118,33859933,33859934,42905124,49778582,49778583,61257251,74037169,83972922,87641074,87641075,83972915,74037595,73207240,70738655,70738656,73207250,73207251,61257266,49778561,49778562,39759857,39759858,49778577,49778567,49778566,49056361,49056360,60460195,73207332,78680320,78680319,259443733,89300928,85123443,71552582,58824426,58824427,71552584,257841356,71552577,73207369 Dl.O(d2) = 233500713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8221581, s2 = 11575422, dlinesl.size( ) = 22 s1 = 1887200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14274103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14076174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2849889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6754138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6754138, s2 = 13292521, int(edited[s2]) = 0 s1 = 6754138, s2 = 13292521, d1 = 39, d2 = 11 Dl.O(d1) = 258103601,259352515,113439843 Dl.O(d2) = 42755298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6754138, s2 = 13292521, dlinesl.size( ) = 23 s1 = 10341017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11092184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092184, s2 = 9408519, int(edited[s2]) = 0 s1 = 11092184, s2 = 9408519, d1 = 1, d2 = 1 Dl.O(d1) = 39271965,49198167,60062408,258169215,60598839,257018385,30675586,30675587,30160810,30160811,30675594,23259514,23259513,255526001,268242925,30675583,30675588,39271967,49198170,39271979,38743707,30160801,256435607,48665548,60062403,49198158,49198159,60598826,73343883,73343885,86955477,86955491,85053389,71482170,71482169,85053388,98978288,259864860,86797550,86797551,73185479,60438782,60438781,73185477,86797544,100778041,114829725,124821725,124821726,261585645,160642038,148376542,148376541,142087677,142087676,138287196,135207063,135207062,262020135,135207071,121355881,107058669,107058668,92719113,78656555,65353256,65353255,78656554,92719112,107058670,121355883,123942485,137621088,137621089,123942484,121355868,107058657,92719102,78656550,78656549,92719100,107058653,109840721,123980333,126266400,123980345,121355872,107058661,107058660,121355870,109840732,95637192,81604340,68115643,68115628,269989249,55719169,44812560,35387935,27262540,20328242,20328243,27262541,35387936,44812561,55719170,68115632,72210562,59472843,59472844,72210564,85804856,85804852,72210556,59472841,59472842,257051502,86050475,86050476,100013710,114040994,127922346,123980344,113772828,99758803,85804853,85804854,99758804,113772832,127640900,139637130,126266407,112403438,98414263,98414264,112403440,126266410,139637132,152357791,260702970,259490450,115904009,115904008,260105912,112403433,260313180,99709949,99709948,98414268,87885134,87885135,101858150,115904011,129804111,260508663,259906787,98414267,98414269,84492578,70928348,58211115,46843100,46843099,57874065,46518552,36651591,36651592,28465091,21242544,21242543,28465090,36964248,46843091,58211100,58211101,70928330,84492561,98414255,98414256,98414254,86927367,73317841,60575091,49176259,39251185,39251186,49176263,60575096,67672918,55333577,44487624,35110487,27024237,20132247,20132248,27024241,35110489,44487628,55333583,59941723,72169212,59430698,55333579,44487625,38125414,255671172,22214469,29559903,38125411,39876575,49898041,59430689,59430690,72169204,73530163,61378437,61378436,268609904,39453478,39453479,269375093,73530164,86330555,86330554,72732727,59995277,48603394,38687435,30111401,30111400,38687432,48603390,59995275,72732723,71446916,58715812,58715811,71446915,60003266,48612145,38696525,255933467,17138141,12044294,8097040,5187332,5187331,8097039,12044293,11521104,7663831,254362747,1694834,963737,963736,267770107,594462,331405,331406,594466,1057245,1852507,1057202,1057200,1852505,3164673,3164667,1852499,1057197,1057198,1852501,1853452,1694852,1694851,254259759,1603338,1603337,1694607,254125961,254131645,331417,182489,182490,331418,594479,1057253,1852572,3164746,254259615,1852570,3164743,5187400,8097127,12044382,17138252,23413769,30843655,39447992,49376355,39447990,39447989,37459215,28919772,21644509,15611847,10801194,10801195,15611850,21644517,28919786,37459235,38003722,38003721,41281974,32442729,24808187,24808188,30803271,30803272,26902097,26902098,23111970,23111969,30530094,30806327,37458110,37458109,47363917,47363520,38169410,37094104,37094103,46977428,38003640,33298383,25536421,18924783,13491496,13491495,18924777,25536410,26902091,254984116,29440710,29440711,38003732,47364693,47364695,268996232,39179719,30582025,30582024,257011395,59547982,269006480,37459274,29800481,29800482,38252060,29686822,29686821,38252058,48161289,58364079,48283357,256498488,33830240,39720785,48604873,38689243,30113356,30113357,23836083,22732675,22732673,23560102,22732749,16527224,16527225,22732754,30113184,28313657,28313655,36810260,46693534,38689107,36776408,36776407,30113238,30113239,33309610,38237604,38237603,39031143,39031141,38372531,29800501,22434183,22434185,29800449,23034988,23034987,30442075,33830177,255994726,22732925,255932929,268232545,254792035 Dl.O(d2) = 39271965,49198167,60062408,258169215,60598839,257018385,30675586,30675587,30160810,30160811,30675594,23259514,23259513,255526001,268242925,30675583,30675588,39271967,49198170,39271979,38743707,30160801,256435607,48665548,60062403,49198158,49198159,60598826,73343883,73343885,86955477,86955491,85053389,71482170,71482169,85053388,98978288,259864860,86797550,86797551,73185479,60438782,60438781,73185477,86797544,100778041,114829725,124821725,124821726,261585645,160642038,148376542,148376541,142087677,142087676,138287196,135207063,135207062,262020135,135207071,121355881,107058669,107058668,92719113,78656555,65353256,65353255,78656554,92719112,107058670,121355883,123942485,137621088,137621089,123942484,121355868,107058657,92719102,78656550,78656549,92719100,107058653,109840721,123980333,126266400,123980345,121355872,107058661,107058660,121355870,109840732,95637192,81604340,68115643,68115628,269989249,55719169,44812560,35387935,27262540,20328242,20328243,27262541,35387936,44812561,55719170,68115632,72210562,59472843,59472844,72210564,85804856,85804852,72210556,59472841,59472842,257051502,86050475,86050476,100013710,114040994,127922346,123980344,113772828,99758803,85804853,85804854,99758804,113772832,127640900,139637130,126266407,112403438,98414263,98414264,112403440,126266410,139637132,152357791,260702970,259490450,115904009,115904008,260105912,112403433,260313180,99709949,99709948,98414268,87885134,87885135,101858150,115904011,129804111,260508663,259906787,98414267,98414269,84492578,70928348,58211115,46843100,46843099,57874065,46518552,36651591,36651592,28465091,21242544,21242543,28465090,36964248,46843091,58211100,58211101,70928330,84492561,98414255,98414256,98414254,86927367,73317841,60575091,49176259,39251185,39251186,49176263,60575096,67672918,55333577,44487624,35110487,27024237,20132247,20132248,27024241,35110489,44487628,55333583,59941723,72169212,59430698,55333579,44487625,38125414,255671172,22214469,29559903,38125411,39876575,49898041,59430689,59430690,72169204,73530163,61378437,61378436,268609904,39453478,39453479,269375093,73530164,86330555,86330554,72732727,59995277,48603394,38687435,30111401,30111400,38687432,48603390,59995275,72732723,71446916,58715812,58715811,71446915,60003266,48612145,38696525,255933467,17138141,12044294,8097040,5187332,5187331,8097039,12044293,11521104,7663831,254362747,1694834,963737,963736,267770107,594462,331405,331406,594466,1057245,1852507,1057202,1057200,1852505,3164673,3164667,1852499,1057197,1057198,1852501,1853452,1694852,1694851,254259759,1603338,1603337,1694607,254125961,254131645,331417,182489,182490,331418,594479,1057253,1852572,3164746,254259615,1852570,3164743,5187400,8097127,12044382,17138252,23413769,30843655,39447992,49376355,39447990,39447989,37459215,28919772,21644509,15611847,10801194,10801195,15611850,21644517,28919786,37459235,38003722,38003721,41281974,32442729,24808187,24808188,30803271,30803272,26902097,26902098,23111970,23111969,30530094,30806327,37458110,37458109,47363917,47363520,38169410,37094104,37094103,46977428,38003640,33298383,25536421,18924783,13491496,13491495,18924777,25536410,26902091,254984116,29440710,29440711,38003732,47364693,47364695,268996232,39179719,30582025,30582024,257011395,59547982,269006480,37459274,29800481,29800482,38252060,29686822,29686821,38252058,48161289,58364079,48283357,256498488,33830240,39720785,48604873,38689243,30113356,30113357,23836083,22732675,22732673,23560102,22732749,16527224,16527225,22732754,30113184,28313657,28313655,36810260,46693534,38689107,36776408,36776407,30113238,30113239,33309610,38237604,38237603,39031143,39031141,38372531,29800501,22434183,22434185,29800449,23034988,23034987,30442075,33830177,255994726,22732925,255932929,268232545,254792035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092184, s2 = 9408519, dlinesl.size( ) = 2 s1 = 11092184, s2 = 9408519, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11092184, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10176978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6813296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8278688, s2 = 9823266, int(edited[s2]) = 0 s1 = 8278688, s2 = 9823266, d1 = 58, d2 = 60 Dl.O(d1) = 256369552,25531255,18920628,18920627,25531253,33292856,38056108,29492022,29492021,38056104,47969399,59360428,72093967,72018099,72018098,59424324,59424323,72163217,72018043,59281067,59281068,59281020,47884512,47884511,59281016,59281042,47884526,47884525,59281038,72018020,61211803,61211802,73990843,85606647,72018084,59281112,47904393,37988804,29427362,22096489,22096490,29427367,37988811,47884563,268517204,27029255,268316046,44492898,47969386,47969379,47969380,59360409,55392940,55392942,55392983,44545683,44545684,55392986,67678380,81144217,67733189,55392918,44545614,44545613,55392914,67733183,81198704,95254912,84904537,71331979,58599716,58599715,71331977,59281130,59281129,72018107,85606733,81198718,67733197,67733196,67733379,67733380,59472546,48081924,48081926,59472549,59472556,72210277,67733376,55393136,44545809,35168133,35168132,44545805,55393133,55392989,55392991,67733251,60846498,49445045,39513810,39513811,49445050,60846508,55392883,44545596,44545597,55392887,55392926,55393080,61209046,49730478,49730480,61209048,55393088,44545768,35168102,27080230,20182889,14480616,9963098,9963097,268176467,20182851,27080169,35168000,27080194,27080193,32218988,41005775,44545646,44545642,44545643,50026948,55392966,44545661,35168028,35168029,44545666,55392969,55393097,55393047,44545731,35168081,35168083,44545738,39225650,39225651,35168011,35168010,37475829,28934317,28934316,37475828,47383170,58770229,67733276,55393068,44545749,35168105,27080234,27080232,268339785,14480624,12126854,12126858,9963088,6547996,6547997,9963091,14480594,20182830,23205110,16934704,11852320,11852319,16934701,23205102,27080208,20182873,14480608,14480610,20182881,27080220,35168079,44545730,257917131,81198813,95255023,109509187,269337888,67733205,55392933,44545631,44545630,55392930,67733200,55393116,44545791,35168121,35168120,44545788,55393113,67733356,81198848,95255045,109509277,123701151,111898591,97961152,84087308,70550429,57848457 Dl.O(d2) = 257044471,31037114,23555193,23555195,31037117,31037124,31037125,39714582,257627076,39714550,39714549,49733337,61211829,49737044,39718576,31041122,23558830,23558829,31041118,39718569,257059448,31037098,31037097,39714533,49733323,60348662,73087591,73990763,61211727,59902758,59902759,72643861,86245879,73990775,257627079,39714475,31037064,23555167,17246353,12128479,8159942,5230647,3192108,3192109,5230650,8159946,12128489,17246371,255994245,39714584,49733396,61211887,258858508,61215235,73993777,73993767,61215226,257044855,31041108,31041109,39714469,31037056,23555160,17246344,17246345,254833591,5232004,3193014,3193013,5232001,8161667,12130702,255544985,31041026,31041031,23558781,17249270,12130666,8161635,8161637,12130669,255544989,31041034,31041022,31041016,23558765,17249258,12130654,8161631,8161632,12130658,17249262,23558768,31041019,39718479,49736972,39718662,31041177,23558863,23558861,31041173,39718504,31041054,23558789,17249277,17249276,23558787,31041047,39718501,31041077,23558803,17249288,17249287,23558801,31041071,39718516,49737003,49733274,39714498,31041084,256498431,49737010,61215222,64668319,52753362,42353998,42353999,49733301,49736943,39718458,31041002,23558759,17249253,12130652,12130653,255544983,31041007,31041112,23558826,23558827,31041116,39718564,49737033,39718656,39718657,39718493,31041037,31041038,31041041,31041040,39718496,39718499,39718521,31041075,31041074,39714513,49733297,61211783,73990833,73990809,257627403,39718534,39718535,39714504,31037083,23555176,17246357,12128482,12128483,268249731,31037092,39714520,49733304,39718462,257044839,49733291,39718526,39718527,49733269,49736949,258858795,101553886,100663740,86691193,73990787,61211747,49733279,49733280,61211776,73990819,87591232,95255037,101553872,87591228,87591229,101553838,95255038,95255039,109509273,99711659,99711660,101553835,87591184,73990789,61211755,49733255,49733256,258236017,87591187,101553828,87591175,73990779,260024648,31037071,23555171,256497985,49733259,269495714,61935973,74729470,259537903,115590246,101553837,87591189,270893647,260152131,105473003,105473005,101556436,87593910,73993805,61215276,61215277,73993808,87593913,101556439,101556442,260019065,86155345,72557073,72557072,86155342,87593941,99711589,99711588,93452907,79321755,65957967,65957965,258152156,73993833,61215298,49737124,39718633,31041158,31041159,39718637,257627411,49737132,257627413,73993845,87593950,101556454,112847248,115592893,101556478,87593947,73993843,73993842,87593945,100300098,86339035,86339034,84931541,258689565,71354602,58617406,47224130,47224131,58617408,58617400,58617401,71354596,84931534,98858713,112847237,126699192,114329764,100300070,86339005,72742960,60007954,269354458,30126536,22743994,255933909,37315323,28779700,28779699,37315321,38703344,30126527,22743989,22743988,256432814,22744016,30126561,28026265,20859079,14957642,255360533,21515127,28777880,30126557,38703392,48618069,60007935,71354588,58617391,47224114,256423222,269351236,98858707,84931532,71354592,58617393,255884434,48618132,58617394,255073328,47224117,48618131,48618130,60008008,60008009,72743025,72743021,60008006,60008007,72743023,60008031,48618081,256976298,22744023,16536002,11525339,7667267,4851443,2923600,2923601,4851445,7667271,11525346,16536011,22744037,30126594,38703443,48618134,60008010,60008011,72743027,60008053,60008052,72743068,60008075,60008072,258789249,100300134,114329807,128212362,141568376,154229244,165985861,165985871,262268388,128212368,114329814,114329815,128212369,141568383,154229252,149923320,136787475,136787476,149923323,162135125,165302656,175997622,185471892,193739829,273543522,149923346,260973285,122957091,261538177,122957077,122957076,136787484,149923329,162135132,173234704,173234708,173234709,165302659,153507630,140827069,127466976,259363866,85623610,72035109,256925124,37988805,256923163,59298949,54667445,54667444,66923943,80350157,94404478,98412138,112401371,122957065,108691613,94404475,94404476,108691615,122957066,136787471,149923308,162135106,152356017,139635285,139635286,139298072,125948759,112114877,112114878,125948762,139298078,152005269,163873653,162135101,149923300,136787465,122957062,259363864,72018081,59281110,47904393,37988804,29427362,22096489,22096490,29427367,37988811,47884563,268517204,27029255,268316046,44492898,47969386,38056094,29492012,22153024,22153027,29492019,38056100,47969391,59360421,72093958,85606704,85606705,81285176,72018076,72018075,71331981,58599723,254768604,67733340,55393088,44545768,35168102,27080230,20182889,14480616,9963098,9963097,268176467,20182851,27080169,35168000,27080194,27080193,32218988,41005775,44545646,44545642,44545643,50026948,55392966,44545661,35168028,35168029,44545666,55392969,55393097,55393047,44545731,35168081,35168083,44545738,39225650,39225651,35168011,35168010,37475829,28934317,28934316,37475828,47383170,58770229,67733276,55393068,44545749,35168105,27080234,27080232,268339785,14480624,9963104,6548001,4102181,4102178,6547997,9963091,14480594,20182830,23205110,16934704,11852320,11852319,16934701,23205102,27080208,20182873,14480608,14480610,20182881,27080220,35168079,44545730,257917131,81198813,95255023,259370310,99382476,85442147,71857550,71857549,85442145,85523723,258105365,59195974,71935731,258729233,71857581,59119773,47722141,37801199,29238022,21919805,21919804,29238020,37801196,47722137,48105625,59494262,72230375,85823427,99382519,85442195,85442194,99382516,113382378,113791356,99777205,99777206,113791358,113382367,113382368,119772327,105539288,91321662,91321663,105539311,113791368,99777214,99777213,113791366,127659381,133641581,119772347,105539306,91321660,91321659,105539304,113791363,258098698,72475937,72475936,258722248,72702526,72702525,86299674,100261893,100261899,86299681,72702532,59965148,59965149,72702533,77403179,64253243,257488676,71857585,268395560,255872078,29898806,29898807,256366952,42053711,42053710,52397759,270511073,59791647,59791648,64253242,52397771,42053718,33104570,25369772,18785751,13380167,9145697,5984955,5984956,6540624,4097798,254215337,806334,806332,1417278,2450973,2450976,4096952,6539143,9949547,9950548,9950550,14463197,20159908,14464909,9952098,6540780,4097902,2451475,1749289,1749288,3011678,4986173,7856048,4987527,4987528,7858262,9951485,6541089,4098090,2451573,1417364,1417363,2451572,4098088,6541080,9952580,14465859,268339229,35142519,39088523,256224177,20162028,14464221,9951268,9951267,14464219,9959958,254979795,255749977,16828786,14472611,14472610,15674449,10851186,254979517,9957259,14471883,255749523,35150777,44527258,35150826,35139320,27053666,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876350,19399222,26088641,33922065,42975884,42975883,35138063,27052190,20158958,14461841,9949665,6539220,6539221,9949671,14461862,20159000,27052249,26650944,19837452,18114989,18114990,22574998,19837515,14211403,9769732,6423541,4029893,2414899,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358820,11095842,7586725,4798715,4798714,7586721,7358809,4648453,4648452,7358804,11095859,15983136,22089815,29420336,29937465,22574847,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,3537668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6803382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6803382, s2 = 10204351, int(edited[s2]) = 0 s1 = 6803382, s2 = 10204351, d1 = 16, d2 = 40 Dl.O(d1) = 258688478,100337135 Dl.O(d2) = 261113822,259934640,141588886 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101312, s2 = 14966196, int(edited[s2]) = 0 s1 = 14101312, s2 = 14966196, d1 = 22, d2 = 20 Dl.O(d1) = 41891705,32956304,25236326,25236327,32956302,32956305,25236328,18667275,13275532,9060337,5924010,4229150,4229151,6749396,6762121,6762118,9057024,11540297,13863192,14972673,14972672,13307781,13307782,13293619,9075768,5935299,5935301,6812312,10346800,255367363,13276200,13276199,13314953,9095699,5950712,3721332,3721333,5950714,9095701,13314958,10287065,6762194,6762199,10287076,6792845,6792840,6831510,6831513,9097071,6822419,4285931,2630540,1518923,1518925,2630542,4390458,6986989,10591585,15073671,10396643,10396641,15073667,20986205,28166381,256825597,46508774,57864860,70566581,84103079,97977170,260487365,125733068,139072101,151773695,140059009,126711448,112859645,98872009,84945899,71369795,58633149,47239828,255843372,28792881,31796982,24283105,21498580,21498579,21534338,18541044,18541043,25085402,25284454,18711490,13318289,9098732,5953081,3722889,2229115,1292738,737782,419321,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952960,6805724,4270130,2553031,1470650,1470651,2553022,1470708,1470703,831913,831914,828071,828072,1463187,2539425,254482441,10304379,255362051,20874111,28042035,36505443,46363647,57713070,259869767,125522663,138855721,151558479,141620980,128270450,260635659,100370929,86414943,72819839,60082369,48686083,48686082,60082367,72819837,86414942,100370927,86415036,86415037,100371058,114394253,100370951,86414966,72819854,60082375,60082373,72819844,86414955,86415011,100371014,114394319,128270568,128270587,128270427,261211899,128270516,114394370,100371059,100370994,100370993,100370888,86414916,86414915,100370889,114394167,114394157,114394158,128270395,128270461,114394222,260035633,100370964,114394266,128270517,141621037,141621070,128270555,114394308,114394309,128270559,141621075,141620972,128270444,128270445,141620953,128270422,114394182,114394180,114394336,114394335,128270529,114394277,100370977,86414986,86414985,100370971,100371004,86415003,72819875,72819876,86415006,100371006,114394295,114394296,128270410,128270408,128270415,114394174 Dl.O(d2) = 100370911,260635655,272226771,114394192,114394193,128270434,128270448,128270421,114394182,114394180,114394336,114394335,128270529,114394277,100370977,86414986,86414985,100370971,100371004,86415003,72819875,72819874,86414999,100371000,114394303,114394329,114394170,100370894,100370892,86414928,86414929,100370913,114394195,100371024,260035645,128270577,141621080,141621017,128270503,128270504,141621021,154276834,154276809,272873393,141621056,141621055,154276789,141620926,128270397,114394160,100370884,100370885,114394162,100371031,100371032,100371052,114394362,128270606,128270494,128270482,114394238,100370940,260035629,260635667,260635665,141621027,154276812,141621034,260635671,100370962,100370961,260635675,114394267,128270453,261211903,128270424,114394184,114394183,100370989,86414994,72819868,60082384,48686087,38764319,30180933,30180934,38764323,48686092,60082390,72819888,86415039,100370877,114394158,261211893,100370880,100370881,86415028,72819884,72819885,259418715,100370983,114394283,128270534,141620928,128270402,128270401,114394288,100370989,86414994,72819868,60082384,48686087,38764319,30180933,22791775,16575683,11556681,7690287,4866519,4807420,4807418,2897447,2897445,4807503,7599430,7731010,4894083,254548325,11611214,268235509,30268251,38852412,48772228,38852407,30268248,30268249,38852408,48772230,60166419,72903124,259425971,86499514,72903123,72903124,86499516,100457912,100457920,114483050,128359685,261765717,166103785,166103784,154357057,262278265,176738753,186148305,186148302,176738746,166103789,154357048,261218899,128359673,260042745,100457920,114483050,128359685,261765717,166103785,166103784,154357057,154357056,154357052,141707580,141707581,154357054,166103794,166103786,154357046,141707576,128359669,128359668,128359695,141707588,154357059,166103801,176738743,263578155,176738756,166103797,166103785,166103784,154357057,154357056,166103790,176738747,176738759,166103800,166103801,166103788,154357048,261218899,114483040,114483041,128359675,261765715,273138817,176738750,186148303,186148306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101312, s2 = 14966196, dlinesl.size( ) = 2 s1 = 14101312, s2 = 14966196, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14101312, Dl.E( ) = 24, 1.31e-05 seconds used appending s1 = 6866223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6866223, s2 = 1880065, int(edited[s2]) = 0 s1 = 6866223, s2 = 1880065, d1 = 47, d2 = 69 Dl.O(d1) = 259421038 Dl.O(d2) = 48714365,268649381,254796511,7705040,11575695,16597517,22816324,16656676,11624270,11624269,11555612,11555609,7730970,4894060,2949375,2949378,4867095,4865503,4862952,2934728,1702022,1700621,966786,832545,469484,469486,544875,967143,1701274,967296,967295,1701552,267832939,7693608,7741820,4902132,4902131,7592073,4802387,2894544,2894542,4802385,7592070,11422143,16405882,12491681,8460646,8460645 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13191575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3545254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3545254, s2 = 13467837, int(edited[s2]) = 0 s1 = 3545254, s2 = 13467837, d1 = 15, d2 = 10 Dl.O(d1) = 119159747,104966441,90790078,90790077,86739474,86739475,100715093,100715098 Dl.O(d2) = 104966444,258009568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3545254, s2 = 13467837, dlinesl.size( ) = 2 s1 = 3545254, s2 = 13467837, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3545254, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 8544752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7147342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13411987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13411987, s2 = 2348314, int(edited[s2]) = 0 s1 = 13411987, s2 = 2348314, d1 = 17, d2 = 46 Dl.O(d1) = 13132953,13132954,18485450,13132888,8950529,5842058,5842059,8950531,13132889,18485451,25014373,32696780,32696955,32696759,25014352,25014353,25014378,25014377,27125063,20220670,20220669,27125064 Dl.O(d2) = 63714465,59110036,47712272,37791471,37791470,47712270,59110034,61708284,60688681,49338370,49338371,49287244,256017800,31808639,24293623,17911538,17911537,18489611,25019840,32703885,41607346,51907465,51907466,63653221,51858693,51858692,63653218,256524430,50227352,60088622,48692451,48692453,49189416,39263387,30667694,30667695,39263389,40205720,31519417,31519418,40205726,40205738,31519426,24017841,17669194,17669195,24017843,31519430,40205742,41607322,51907579,62030775,50539225,40504055,37791473,29229337,21912867,21912866,29229335,37791469,40205722,31519410,24017830,17669187,17669186,24017829,254920064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13411987, s2 = 2348314, dlinesl.size( ) = 2 s1 = 13411987, s2 = 2348314, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13411987, Dl.E( ) = 48, 1.79e-05 seconds used appending s1 = 14111254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8389422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13712887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8413793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13616257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9810191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160791, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3237588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3237588, s2 = 13347048, int(edited[s2]) = 0 s1 = 3237588, s2 = 13347048, d1 = 1, d2 = 3 Dl.O(d1) = 101874334 Dl.O(d2) = 10911434,7216475,7216473,10911425,15755340,21821865,268125286,255610480,37690758,47615766,59019845,71763865,85354307,86544673,72944888,72944891,86544677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3237588, s2 = 13347048, dlinesl.size( ) = 2 s1 = 3237588, s2 = 13347048, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3237588, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 16352869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108288, s2 = 14164419, int(edited[s2]) = 0 s1 = 14108288, s2 = 14164419, d1 = 64, d2 = 81 Dl.O(d1) = 143606360,156140826,167743238,158347128,158347127,145973032,132745914,118917816,118917815,104728038,257865338,76690191,63601678,51814152,41534957,32647409,32647410,41534960 Dl.O(d2) = 116400866,261316461,116400869,260148267,260148265,74685754,61892139,50401574,271869554,74685741,61892129,50401566,50401565,61892128,61892138,50401574,40366205,256039161,255197015,8546203,8546202,12595115,17794207,24161775,25880654,19221538,13730552,13730550,19221536,25880650,33686961,38096007,34115812,26251245,26251243,34115805,37247347,37247349,47152667,38046957,38046955,47841187,37920589,35103461,29663390,29663389,38213169,29646604,22294547,16149559,16149558,22294543,26619574,24178383,17810052,12608539,12608538,17810051,24178381,26286525,19564367,19564366,25880634,33686945,42716919,33686991,33686992,42716980,268224350,254772296,49449735,49449737,44477241,255900974,35100887,35100262,27013445,20121111,20121112,27013447,27013452,20121545,14430015,9925952,6523572,4087439,4087331,2445279,254153167,804397,1413845,1413907,1413906,2445360,1413929,1413927,2445318,1413877,804413,804409,455864,256951,256950,455861,804402,1413858,2445294,4087347,6523457,6523499,4087392,4087393,254214931,804425,804424,1413893,804437,455876,455875,267762165,2013811,2013810,2048889,3384133,3378028,1988549,1988548,3378025,5487246,5499688,3438394,3389310,1996897,1141237,640204,355400,194787,194788,355403,355393,355394,640189,1141206,1996850,3389247,5499643,3429105,3429106,254611543,6043096,5564657,3448327,3404547,2007899,1148035,1148037,2007895,3404542,3404505,3404507,5513294,3400384,3400383,5015010,5015011,5508751,3443641,3443637,3441478,2036743,2036744,1764413,1764409,3032194,3032195,2011441,1150288,645263,358060,358058,645251,636602,636601,1134510,1134495,1134492,1985773,2046374,1993779,1139366,639226,354928,354932,639236,254188883,3385139,5488298,254445075,3764912,5497639,5495628,5495629,8494440,8504520,8504521,8543589,12559432,12569668,8523975,8491895,5516674,3403885,2014394,2014393,3413093,3038275,254174177,1008128,640380,640381,357501,195822,106880,58790,33084,18986,10889,10888,18983,33076,254075641,195742,357321,254090153,195766,357384,643909,1147771,1174820,1174821,2008227,254413423,8520059,7712718,4881426,2941388,2007409,1147730,643884,357366,195759,106854,58778,267736391,195764,357379,643904,1147765,2007446,2034672,3438957,3474487,2061294,2018590,1154863,647914,359465,196842,107388,107390,196852,359490,647953,1154917,254278715,5533156,268003421,17777818,24142228,31648453,40337090,50364298,61848666,74641245,88271695,102270007,116363732,130201731,261267693,115560483,101531170,87573413,73975190,61196786,49718155,49718154,61196785,49718156,39699371,31022249,23541089,17232879,17232880,23541091,17232885,255543505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108288, s2 = 14164419, dlinesl.size( ) = 54 s1 = 11217418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9822243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6779002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8021437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7993074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9800919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8465792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8465792, s2 = 7057946, int(edited[s2]) = 0 s1 = 8465792, s2 = 7057946, d1 = 29, d2 = 35 Dl.O(d1) = 264573566,159402265,262829528,271540197 Dl.O(d2) = 133773515,272907468,133773503,261972559,262471801 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14096934, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6784608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6784674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9826801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9846027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9390048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8320916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8783422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3332238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3332238, s2 = 1038161, int(edited[s2]) = 0 s1 = 3332238, s2 = 1038161, d1 = 15, d2 = 6 Dl.O(d1) = 107641536,93238017,93238012,258470845,53709051,53709052,53709059,65765808,65765805,65765804,79121539,93238012,258470845,65765799,259100255,65765800,65765801,79121537,93238015,258470847,65765802,65765803,65765809,53709061,256699429,34111276,43197434 Dl.O(d2) = 438387,438383,442012,447631,447634,790412,1389858,2401967,3874992,6191688,9445016,6300067,6300068,9595324,9595325,13841705,19353298,19404588,254955089,6338677,3976284,3976282,254675277,255303231,13840691,9493809,6226410,6226409,9493804,13840686,19352010,14026024,13732804,13732805,19224139,25883727,254894290,13976824,13923092,9703770,9703772,9703791,8705499,5667272,3525387,2098157,2098159,3525391,5667287,8705519,5722306,5722303,6304070,6304069,9600232,13978185,19525211,26242335,34105771,43191447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3332238, s2 = 1038161, dlinesl.size( ) = 2 s1 = 3332238, s2 = 1038161, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3332238, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6539008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9577759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6941969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8332467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6480023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8635162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8603489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9404963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8461764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6686797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6686797, s2 = 8558713, int(edited[s2]) = 0 s1 = 6686797, s2 = 8558713, d1 = 0, d2 = 5 Dl.O(d1) = 257339351,44980510,261577007,261531480,259803455,81471767,81471766,68654876,56169736,268850483,27442971,27442970,35637987,36277562,46069207,57348457,273153562,138443663,125027471,111126512,261544562,27316810,255345537,10059463,6609083,4139642,4139640,4151832,4151834,4152380,2482836,1434177,1434172,2482852,4153639,6634476,10103297,14690167,20472160,27459988,27467391,27467386,35122333,27558977,27558972,35634178,35634175,36090434,27847893,20724001,14885374,14885380,20767346,20778428,27929486,36371424,46198874,57511366,69968140,77986599,82250162,95858119,96141727,82111356,82111355,94335797,80279505,80279506,94335799,82637766,69108082,69108081,82637764,259834197,270256635,269683919,56291208,258574077,96325446,260435657,138053159,150929949,138376659,260448951,96991626,83471001,69932285,57284992,57284991,56799148,56799147,259839865,270738559,69376929,68276519,68276518,81801469,95862936,96362597,82358680,68834294,56329989,45282812,257349253,56801631,271106675,65704773,53653076,53653077,65704776,259204287,82387536,96389943,82596701,258589577,258589579,93175754,259727617,259777280,82897887,69377077,257299732,44883359,35443021,27308712,20367418,14618821,10058233,10058235,6679984,6679985 Dl.O(d2) = 2500988,1443016,1443011,2500988,1443022,1443018,2501031,1443489,1443486,1435175,815875,815870,1435194,2484861,2515663,4206616,6713792,10217915,14858326,20726751,27851943,35430905,27299020,27299015,35430880,35576908,45069410,56053905,56054626,67991204,67991202,81472978,70039383,257985405,258575335,68840740,257877328,95862935,81801468,81801467,69221437,69221438,259213141,82810169,69288517,56722621,268868879,27632689,27632690,35929843,45579068,45737959,36039538,27703452,20628592,20413827,20413829,20474949,14691998,10104426,10104425,10231917,10231918,14880148,20759509,14880678,10232232,10232236,14880730,20760483,27902698,36331822,257377459,70104139,269826804,260461837,86342689,258165879,257557189,69354743,56778262,45619948,45619950,51985782,41978710,41978708,52319389,55996405,51989499,45005501,45005503,36184770,36184772,36266135,46055110,56534745,45733557,256494762,69523245,83050817,96985872,111017175,115833166,101786880,87814286,74210373,61431170,49953032,39935550,31260281,31260279,39935549,49953031,52086876,41772660,32851304,25144364,18588762,18588761,254640092,41772658,52086875,48347436,48347435,254694550,63906072,52086734,52086733,41772504,32851160,32851159,41772502,52086736,63906073,77017664,90897554,105077547,119270582,133100379,146327699,271026424,119691295,105453173,105453172,119691293,124865051,110934460,96898070,82964084,69445060,69445059,56859229,45682463,257362331,43964881,37193094,37193095,47088991,58467188,71189220,84758092,98685694,112680427,126543344,139906900,129624366,126267761,112404871,112404872,105639378,91413660,77483003,256128860,52451446,42098525,33144372,33144371,42098523,52451447,258399651,91413662,105639381,119877872,133747853,146997811,159380775,170731004,170788736,159449523,147074347,133829445,119961968,119961969,133829446,147074349,159449527,156248843,143722333,130396496,116556478,102457229,88453390,74819888,62022895,62022896,74246586,62069376,50577089,43208373,34121118,26255952,257266021,43315136,268829906,256457917,39050698,270323834,86713014,76914838,63807753,51992317,41681066,41681065,51992316,258374027,90789912,104966280,119159575,132156338,118341691,104184895,90055774,269496124,63232536,76247448,270509366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6686797, s2 = 8558713, dlinesl.size( ) = 2 s1 = 6686797, s2 = 8558713, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6686797, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 3364330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6724893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8385703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8340329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 882062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11237374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117241, s2 = 14127989, int(edited[s2]) = 0 s1 = 14117241, s2 = 14127989, d1 = 41, d2 = 4 Dl.O(d1) = 262200074,112801046,259955638,58572795,47184126,256897940,15482963,15482964,21487578,28745747,24094653,17736544,17736545,16167091,16167092,12549571,12549572,16170168,16170167,16170195,22315163,29666902,38233142,48143567,52244969,41907872,32968487,25246362,24555348,24555349,255612633,18119745,24557786,24924310,18415295,18415296,24924313,32581101,40914592,32141002,32141001,40918193,40916593,40916592,44839866,44839869,37522058,37522056,41907483,38598264,36922071,28423672,21200517,21200518,18118345,18118347,24555900,32137434,24557352,24557353,32139095,256012124,61458026,59872926,58169451,46802075,257418694,51058757,51058756,60818234,49418252,49418253,256300846,47197755,47197754,37867129,37867128,47791686,255811900,46483906,254721156,38231679,37867239,254329084,15877500,11006033,11006036,15877510,21971269,255809512,21126084,23449600,30880659,39486359,37867135,29297913,21971183,15877462,15877461,21971181,29297908,37867132,33021190,25295091,21496269,15489844,15489842,21496264,28755583,37289449,36924328,28425737,21202260,15236799,10510971,10510970,15236797,255816365,28425728,36924319,46802431,58169756,258657685,98350899,98350898,112334053,260515622,98350887,98350886,112334043,126194641,139569842,126194645,112334048,98350893,98350895,112334051,126194642,261636569,152299719,139569849,126194645,112334048,112334047,112334058,98350905,84441093,70883783,258657687,84441090,84441089,98350901,98350894,98350895,112334051,126194642,261636569,164182978,152299710,152299712,152299725,164182988,174998809,164182977,261645900,126194655,112334061,98350906,84441094,70883783,258657687,84441090,84441089,98350901,98350894,98350895,112334051,126194642,261636569,164182978,152299710,139569841,126194640,112334042,112334043,126194641,139569843,271767920,98350894,98350895,112334051,126194642,261636569,164182978,152299710,152299712,152299725,164182988,174998809,164182977,261645900,126194655,126194652,126194651,139569857,152299720,139569850,139569851,261094148,126194649,139569856,139569858,152299715,152299716 Dl.O(d2) = 60841760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117241, s2 = 14127989, dlinesl.size( ) = 26 s1 = 10209036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3124895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8255489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8255489, s2 = 2509724, int(edited[s2]) = 0 s1 = 8255489, s2 = 2509724, d1 = 97, d2 = 44 Dl.O(d1) = 4458964,2678686,2678687,4458966,7082285,10719879,15500889,21510065,254737160,47210840,268386194,58600831,47210826,37304242,28770992,28770991,37304240,47210824,58600830,71333314,71945438,59206538,255067636,47210825,37883773,37883774,39500174,39717002,49735485,61213793,268629430,58652448,71387795,84962696,98888235 Dl.O(d2) = 255416594,71459049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255489, s2 = 2509724, dlinesl.size( ) = 2 s1 = 8255489, s2 = 2509724, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8255489, Dl.E( ) = 114, 3.5e-05 seconds used appending s1 = 14111002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16043338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6873764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14075291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14075291, s2 = 14163095, int(edited[s2]) = 0 s1 = 14075291, s2 = 14163095, d1 = 9, d2 = 13 Dl.O(d1) = 256954875 Dl.O(d2) = 255475521,11337504,7534097,4765874,4765875,7534098,7533718,4765658,2872811,1667276,948350,948351,1667296,2872864,4765774,7533935,10639215,10639212,9367880,6136131,3838959,3838957,6136103,9367821,13679556,255687571,18970567,13535353,9265149,6068635,6068638,9265154,13535355,15308456,12383633,8368140,8368141,8103670,8103671,12053177,17149724,21255788,15291251,10556250,6962326,4374245,2620293,2620294,4374250,6962333,6945788,4364829,4364832,6945794,10531992,15264210,18961127,13525235,13525236,12388623,12388625,13523499,18959501,21270004,25572952,18963993,13528425,9259125,9259123,13528420,17559492,17156400,12059819,12059820,17156402,12376340,8363294,8363293,12053272,12053273,255670134,25565775,33326460,37605518,37605517,37605516,256665283,25727376,19095813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14075291, s2 = 14163095, dlinesl.size( ) = 2 s1 = 14075291, s2 = 14163095, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14075291, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 16181965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9407657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9407657, s2 = 3611337, int(edited[s2]) = 0 s1 = 9407657, s2 = 3611337, d1 = 2, d2 = 0 Dl.O(d1) = 164442840,152587026,139877568,126512055,112647583,98651149,84720974,71151295,58429769,47055156,257288658,31139219,31139218,39821723,36558937,28089508,25441801,18845224,13426855,267931259,3757987,2251070,2251069,3757986,6008509,9180111,13426852,18845222,25441798,26673179,19856112,268043467,6429846,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,14227010,19857979,19857960,19857959,15368608,10618950,7007822,7007820,10618945,14241547,14241546,14241540,9790090,6436211,6436212,8795866,5729389,3567301,3567300,5729385,8795860,12929807,14242039,255732939,255915456,19855330,26672227,34665332,43939449,38181085,29613999,22263047,16122625,16122626,22263048,29614001,29613997,29613998,38181084,48092863,59482389,72219591,270337193,48608363,38692904,30116724,24094998,24094996,30654777,39250635,49175671,60574437,73317142,86926674,100906948,258707566,111901071,97963626,259015470,70553390,259265377,111901067,125718525,259527662,115075226,101004067,99470793,87172035,87172036,101169642,91316195,77397416,64246926,257454844,48579444,49175668,49175667,60574430,73317133,259451877,97963623,86305231,86305232,100267012,114296811,115246842,101169646,258873858,73553911,257059912,72993297,72993298,71765995,71765996,85356422,85356425,72708305,72708303,72993289,86591111,100552933,86926667,86926669,91418093,91270206,91270208,105492681,113305335,99301574,85356416,268438642,113305327,127165225,140512067 Dl.O(d2) = 105644182,119882887,123598218,123598217,137329767,137453330,150488578,162612669,154765701,150370831,137329772,123598222,109406462,258508338,87798031,75964237,75964238,89743934,103848427,117994046,120284411,129714519,123725498,123725496,137453337,150488581,137453334,123725494,109533669,95278931,81221489,81221488,95278928,109533665,117994044,115815772,115815773,106083613,91888096,91888097,95152364,259137138,44447444,44447443,55291770,67629575,67755217,67755216,81221491,95278935,106083631,91888119,91888118,257889242,95152346,81095033,81095034,91888090,81095037,258508336,73239258,73239259,86852001,100832880,106083611,91888112,77963136,64768329,64768319,52848744,42444654,42444655,257809183,67755221,67755222,81221497,95278943,100553518,109406454,120284406,126159296,112299013,98316113,84406223,257290974,77963169,91888145,86591737,86591736,91888077,77963107,77963106,91888073,106083598,106083600,120284403,120266836,112299008,98316109,84406216,84406217,98316110,112299009,114585712,100553516,86591733,72993949,64768341,64768340,77963152,91888128,106083637,120284427,113473792,99463508,85517600,71930082,71930083,75776578,75776577,62816623,62816622,75776576,258885852,86582350,72985422,72985421,86582347,100542957,106083654,106083657,120284445,260105506,98316116,84406227,70848577,58134187,46766343,46766342,257290972,84406226,98316115,106083645,114585708,257654334,85517603,71930087,71930084,257071526,85517605,71930088,256524554,58137103,70851286,84408821,98248279,112226404,103663118,89553757,89553758,98974281,98974280,112963309,106083640,269395834,128456294,114573035,100542963,257051158,255999948,59999780,59999781,255161732,70782433,70782432,268988854,112226393,126082153,259490082,126082164,112226412,98248287,98248286,269874250,84341130,70782455,70782454,84341127,98248283,112226408,126082160,117812054,114573040,112226396,112226397,120284428,112963320,112963319,269865060,84341106,84341105,86334087,72736702,59999785,48608353,48608352,46692329,256341862,70782443,84341114,98248263,112226391,114573044,114573041,100542972,86582358,72985434,71477525,71477526,84341133,70782458,58064961,46692334,36808676,36808675,46692332,256883370,84341125,98248278,112226401,126082157,126817096,112963324,98974296,98974295,100542989,86582378,86582379,72993964,72993959,60258163,60258160,72993955,86582405,72985480,72985482,86582407,100543011,114573071,112299004,112299003,126159289,114573052,114573053,114573069,100543007,86582402,86582401,100542996,86582390,72985467,60250124,48857487,38938215,38938216,48857490,60250129,72985473,86582376,86582384,100542994,100553481,258184658,60258134,256452254,30359213,22957738,22957737,30359212,38945359,48865046,48865047,60258111,72993884,72993963,86591657,72993878,72993877,86591673,86591661,72993870,60258100,48865038,48865037,60258098,258184652,90601944,76735839,63644555,51851712,41564506,32671107,24994839,24994838,32671105,41564503,269072512,32684831,25005515,18478837,18478838,24490314,24490313,31256506,31256505,39931478,49948630,61426180,74204739,259498795,115826674,129725889,143056571,133655825,119786019,119786018,105552661,91334862,256638570,70426745,70426744,70782947,70426712,57732181,46382091,37435198,37435196,47342551,52410772,46678271,46678270,49391984,48052278,38139002,38139001,48052276,57732173,256123180,37435194,256881967,58730432,71460188,85032023,98956901,112945927,126799727,140149804,152843830,164679963,167222082,155590417,143040355,129709581,115810919,101764878,259131532,257883222,39910688,256198208,17425977,12282308,12282309,14553076,11213696,11213697,14184656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9407657, s2 = 3611337, dlinesl.size( ) = 2 s1 = 9407657, s2 = 3611337, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9407657, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 14983797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14983797, s2 = 3895029, int(edited[s2]) = 0 s1 = 14983797, s2 = 3895029, d1 = 11, d2 = 6 Dl.O(d1) = 8840557,5761439 Dl.O(d2) = 140521003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14983797, s2 = 3895029, dlinesl.size( ) = 2 s1 = 14983797, s2 = 3895029, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14983797, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 6806276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3420607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13698293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3151291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3683044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8448641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10244073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2802614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13682113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13682113, s2 = 4190609, int(edited[s2]) = 0 s1 = 13682113, s2 = 4190609, d1 = 1, d2 = 1 Dl.O(d1) = 119816337,119816338,119816332,105577326,91354541,77432371,64280021,52423275,42078552,42078553,52423277,64280026,52423295,52423296,52423297,64280051,74150294,61369984,61369983,74150290,61369979,61369980,257638125,39867133,39867132,49889331,61369981,74150292,87754481,74150298,74150297,74150296,74150295,74150288,61369976,49889327,256508763,23694954,17372628,12240588,8266117,5333398,3278383,1928332,1928331,3278382,5333396,8266113,11694844,7799982,7799983,11694847,16738524,22314824,16169770,16169769,12535891,12535892,17372717,12240693,8266227,8266228,11235998,11235999,16168354,16738160,16738159,17815351,17815350,22314227,16169130,16169129,22314226,17798425,12598980,8550011,8550010,12598979,17732606,12546117,8505365,8505364,8612735,5598076,3474539,3474540,5598078,8543170,5597857,5597856,8612499,12624979,17687381,255458343,16103835,256934955,59457420,256979596,59587943,48201484,38292128,38292129,48201485,59587944,72322432,85915624,99870794,113889328,127764554,259256684,86130335,72530976,72530977,86130336,86130328,86130329,86130338,86130339,100097727,114132183,104695304,104695303,118876263,261399055,158280716,158280717,165834767,154064808,261289144,133692667,119816337,105577332,91354546,77432374,64280024,64280023,77432369,64280028,64280027,271031083,103472438 Dl.O(d2) = 119816337,119816338,119816332,105577326,91354541,77432371,64280021,52423275,42078552,42078553,52423277,64280026,52423295,52423296,52423297,64280051,74150294,61369984,61369983,74150290,61369979,61369980,257638125,39867133,39867132,49889331,61369981,74150292,87754481,74150298,74150297,74150296,74150295,74150288,61369976,49889327,256508763,23694954,17372628,12240588,8266117,5333398,3278383,1928332,1928331,3278382,5333396,8266113,11694844,7799982,7799983,11694847,16738524,22314824,16169770,16169769,12535891,12535892,17372717,12240693,8266227,8266228,11235998,11235999,16168354,16738160,16738159,17815351,17815350,22314227,16169130,16169129,22314226,17798425,12598980,8550011,8550010,12598979,17732606,12546117,8505365,8505364,8612735,5598076,3474539,3474540,5598078,8543170,5597857,5597856,8612499,12624979,17687381,255458343,16103835,256934955,59457420,256979596,59587943,48201484,38292128,38292129,48201485,59587944,72322432,85915624,99870794,113889328,127764554,259256684,86130335,72530976,72530977,86130336,86130328,86130329,86130338,86130339,100097727,114132183,104695304,104695303,118876263,261399055,158280716,158280717,165834767,154064808,261289144,133692667,119816337,105577332,91354546,77432374,64280024,64280023,77432369,64280028,64280027,271031083,103472438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13682113, s2 = 4190609, dlinesl.size( ) = 2 s1 = 13682113, s2 = 4190609, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13682113, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6970958, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9497037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3818927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3470846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3470846, s2 = 14165097, int(edited[s2]) = 0 s1 = 3470846, s2 = 14165097, d1 = 26, d2 = 2 Dl.O(d1) = 100669926,86696198,86696199,260053425,128613434,141973263,154615477,262238122,141973256,141973255,261941708,261229069,114716526,114716527,261723378,114716528,114716529,102503296,88494583,88494584,102503298,114716518,116608167,130453556,128613417,114716514,100669913,100669912,114716512,114716520,128613422,114716534,114716525,259436527,73091624,60351843,60351842,73091622,86696190,271359285,100669924,100669923,114716519,114716517,114716516,128613420,141973257,261330491,260759847,143782629,156307714,166333406,262238122,141973256,141973255,261941708,261229069,114716526,100669922,260053423,128613429,141973261,128613437,114716548,100669937,86696207,73091638,73091637,86696205,100669934,114716543,272859596,100669939,100669936,100669935,114716544,128613435,128613434,141973264,262238124,141973270,261229067,114716524,259436527,73091624,60351843 Dl.O(d2) = 114716521,259436527,73091624,60351843,48955157,39033131,39033132,256942972,10441290,6883290,6883289,10408665,15091669,18909289,25518981,26907813,34988571,39070306,39070305,34682254,26688036,19868985,19868983,24389060,18572445,18572444,25124528,32829009,36442313,27983227,20819025,14921824,14921823,17127190,12036436,12036437,17127196,23399239,21530408,21530411,21554717,21554718,21427990,15435296,10670792,10670794,15435312,21428019,18105335,18105334,24538925,32116356,38996614,48920447,60319045,59607682,48220900,38311010,29742409,29742408,268260308,59607671,58472803,47094898,37198976,28676237,28676238,37198980,47094905,57639532,46295290,36442328,27983241,20819009,14921815,10260810,6742656,6742655,10260806,14921811,17127174,23399213,22383035,16225266,16225265,22383031,29742072,38310679,47108861,47108862,40049696,40049695,50068946,40890139,40890138,47124631,37226797,37226798,38311282,256560082,17943690,12715045,12715048,17943696,24332335,18542170,13175055,8981066,5863524,5863525,8981067,255242491,25086814,256617693,31067142,23582909,17270465,15549441,10754352,7105037,7105035,8479584,8479586,12516721,9778581,9778582,14224287,12776574,12776575,18026290,23555400,17246488,12128550,12128551,17246494,23555411,31037421,25802468,19156022,19156024,25802471,33599458,28341221,28341220,31435491,28589753,21358454,21358453,18487090,13133854,8951079,5842375,3645754,2179215,2179216,3645757,5842384,8951096,13133877,18487125,22345529,16196044,11258409,11258408,16196040,22345525,29699491,31554838,24784554,18302811,18302812,24050545,25451368,22414795,22414797,24442263,31428240,40108179,40108197,40308850,39714899,37164846,37164849,29194610,29194613,29194601,21882666,21882667,23204070,23204069,30626594,24342044,17951359,13133793,8951041,8951040,8643539,5621585,3492462,2074712,2074713,3492470,5621597,8643565,12720887,13133840,13133838,18487069,22345540,20079835,14397035,9902868,6508909,6508910,9902873,14397048,18302829,24784585,32409401,41234322,50074232,40054310,31373129,31373130,40054312,50074239,50074210,40054282,31373109,31373108,40054278,50074201,61278732,50074106,40054202,31373048,31373049,40054205,50074113,61552670,269418402,91207560,256915932,59933354,48540715,38626017,30052143,256427503,22676153,16479151,11481716,7636509 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8440946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9816839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13541297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7004069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8389388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6767606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8414043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8025443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8415324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8415324, s2 = 11485882, int(edited[s2]) = 0 s1 = 8415324, s2 = 11485882, d1 = 67, d2 = 46 Dl.O(d1) = 260501575,139517894,261551664,154253857,262269931,166006927,166006925,155599877,143050427,129719931,115821014,101774984,87802628,74199126,74199125,87802627,101774980,271857383,143050416,272898107,166006924,176648216,174957200,164136066,152249362,152249361,143050419,261826285,155599872,143050423,143050422,155599871,167231047,177728109,177728107,167231045,166006929,154253849,141597285,260633315,86386126,100343515,114368366,128246021,272572337,141597275,128246010,114368359,100343512,86386124,86386125,100343513,114368362,101774984,87802628,74199126,74199125,87802627,101774980,271857383,143050416,272898107,166006924,176648216,184563588,186064746,176648212,174957203,166006915,154253840,154253841,166006917,176648211,176648219,262269933,272572337,141597275,128246010,114368359,100343512,86386124,86386125,100343513,114368362,101774984,87802628,87802629,101774976,115821005,129719920,143050409,155599853,167231035,166006926,166006925,155599877,143050427,129719931,115821014,101774984,260710325,128246008,114368357,100343511,86386124,86386125,100343513,114368362,101774984,87802628,74199126,74199125,87802627,101774980,115821011,129719928,261826285,155599872,143050423,143050422,155599871,167231047,177728109,177728107,167231045,155599867,143050420,129719929,129719924,115821007,115821006,261826283,167231039,155599857,155599858,166006919,262745743,177728105,167231042,155599864,261756513,141597278,154253843,141597277,141597276,154253841,166006917,176648211,176648219,262269933,272572337,141597275,141597272,262269921,155599850 Dl.O(d2) = 273887687,265075370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8415324, s2 = 11485882, dlinesl.size( ) = 12 s1 = 13595365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13595365, s2 = 16388259, int(edited[s2]) = 0 s1 = 13595365, s2 = 16388259, d1 = 175, d2 = 180 Dl.O(d1) = 67604075,81072108,76454823,76454822,80347546,66921262,54664678,43922138,43922137,54664676,66921257,258506668,108689220,119228581,105036037,90857099,90857100,271146263,80347548,80347547,94401983,108689231,115655481,270111720,87647695,259135520,101614766,87647894,76978722,63867640,52048455,41733838,32813319,32813320,41733841,52048460,257289275,43922139,54664680,66921266,80347552,77236076,77236075,91151758,104435647,259764366,115655658,115655657,101986897,88011523,74406334,74406333,88011519,101986895,116033489,105036031,90857093,90857092,105036029,94401980,80347542,66921260,66921259,61627700,50145737,257659363,63867637,259004569,105036022,112664366,98668855,84739934,84739935 Dl.O(d2) = 184480421,174868684,174868685,164050873,164050874,174868689,272229752,164050877,164050875,164050876,164050885,164050870,164050871,174868685,164050873,164050874,174868689,272229752,174868690,164050882,152173073,152173075,164050870,164050871,174868683,184480420,272875812,206180012,211209255,263930566,218723143,221589204,224049541,226183395,265218150,265578816,229176105,227464427,274378465,213936782,209473697,209473696,274234791,217600490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13595365, s2 = 16388259, dlinesl.size( ) = 12 s1 = 13370351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8112086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7656225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7656225, s2 = 11153660, int(edited[s2]) = 0 s1 = 7656225, s2 = 11153660, d1 = 24, d2 = 0 Dl.O(d1) = 271303506,76134104,259602315 Dl.O(d2) = 59167070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7656225, s2 = 11153660, dlinesl.size( ) = 2 s1 = 7656225, s2 = 11153660, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7656225, Dl.E( ) = 32, 8.82e-06 seconds used appending s1 = 8296386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15926617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15926617, s2 = 6888306, int(edited[s2]) = 0 s1 = 15926617, s2 = 6888306, d1 = 97, d2 = 168 Dl.O(d1) = 20240224,14523643 Dl.O(d2) = 263736936,173249564,263016269,191707635,199108606,199108607,199108608,264372668,191707634,183099724,173249564,162150494,149938849,261999358,260901024,94419155,259062536,257889084,53010715,259690827,85835205,72243232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15926617, s2 = 6888306, dlinesl.size( ) = 34 s1 = 6656282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8412754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 279441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14995953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9673892, s2 = 15323179, int(edited[s2]) = 0 s1 = 9673892, s2 = 15323179, d1 = 70, d2 = 73 Dl.O(d1) = 2279862,2279859,2671688,2289174,259986847,85715699,99663266,261654930,258358335,90274498,100247671,260027269,102503986,102503985,88495274,74858258,62059503,62059504,74858260,88495259,74858242,62059493,50566945,257690471,74858240,62059491,50566948,40530408,40530407,31832996,31832995,40530465,50567005,50566946,40530406,31832933,24314643,24314642,31832931,40530402,43066175,34008415,26166737,19466238,19466239,26166739,34008417,43066177,34008423,26166742,19466242,254932642,26166749,26166748,34008426,26166744,19466243,19466232,19466233,255679292,31832999,24314701,24314700,23952156,17606186,12427607,12427610,17606198,23952064,23952065,31443698,40123059,40123202,31443828,23952201,23952202,31443873,31049438,31049437,31049417,23565089,23565090,31049391,23952162,23952163,23565065,17253764,17253765,23565068,31049380,268442713,23952189,31443801,31443800,40123174,256430662,39368155,30766575,23343384,23343383,30766569,31443906,23952234,17606229,17606228,23952229,31443901,25822326,19171880,17606150,12427584,8399468,5420204,5420203,8399465,12427577,17606136,23565073,17606140,17606142,23952073,31443704,40123075,50144157,59978710,48587121,48587122,49747487,39728318,39728319,49747492,61226766,61226743,58427606,47052964,37162201,37162202,39368152,31443691,31443690,32178935,40957818,51099734,269924655,89440312,85843845,72252364,59518410,48131134,38221089,38221091,48131139,40957843,40957842,50144135,50144136,61625931,70419650,79086302,75677138,62730902,51099728,40957811,32233751,24636106,24636105,32233748,40123071,40123072,40123091,50144170,61625957,72715682,74007566,61226760,49747480,49747481,61226765,74007572,84718998,71149227,58427600,58427602,60696900,49295519,40957824,32178936,32178938,40957831,51099747,48131130,48131131,59518405,72252363,85843842,72715697,59978726,59978725,72715696,74404496,62730937,62730936,65060161,53077808,42630305,33605382,25807606,25807607,33605388,32178930,32178929,24636101,24636102,32233744,41026122,51182697,62832753,72715620,72715621,86312478,100273881,100273908,86312513,72715673,72715674,86312516,77871138,77871139,259412121,75677153,62730920,51099743,51099742,62730918,72252358,72252359,85843839,99796517,113810539,103536261,89440325,89440324,75677166,75677164,258421068,106592710,92294441,78267252,64993709,53018613,42578432,33561741,33561740,42578430,53018609,258434651,89578907,75796765,75796766,75796768,89578911,103694393,259794544,101058023,101058024,105988331,105988330,117848418,117848419,123602893,113997375,113997374,102675548,102675547,260904615,134726839,120928692,106675866,92371831,78338988,65060159,53077805,42630302,42630301,53077803,65060157,258421066,95259397,258436804,53018605,53018604,64993699,258436802,99439564,268827100,71913249,72418179,86014405,256752428,91173866,105395576,95155649,81098043,81098042,95155645,109410330,99973716,86014400,86014399,75018130,75018129,65054767,65054768,67632521,67632522,77871167,77871166,91793707,269513882,53077801,53077798,65060152,78338984,92371826,81203461,81203462,74692675,269493236,92294435,92294434,89578909,77255872,77255870,75018134,62197152,62197153,59175541,59175539,71913255,64108922,52260100,52260102,64108926,77255561,91173867,78372521,65089342,53102873,42651633,33623358,25822368,19171902,13690778,13690777,19171898,25822360,33623343,42651603,53102815,65089190,65089189,78372350,92409076,102315864,102315863,116408272,130244866,120966600,106714401,92409150,78372467,65089283,53102822,42651606,42651605,53102820,65089278,78372462,91173864,86221766,78372343,78372342,92409068,86221810,72623138,72623139,86221812,92409204,258439123,53102869,53102866,42651628,33623354,33623353,42651622,53102857,53102752,42651568,33623323,25822352,25822353,33623334,42651591,53102797,65089194,53102765,53102766,65089197,78372356,92409036,106714333,120966577,120966582,114217331,100185513,86221828,72623150,72623151,86221831,100185475,86221780,86014251,86014255,92409092,78372382,78372383,92409096,86221784,72623109,72623110,59884428,59884427,72623134,78372509,92409197,106714427,106714342,92409117,78372413,65089236,59884418,59884419,72623120,86221789,92409044,92409043,92409055,92409057,84399007,84399006,89540451,75765605,62808304,51163800,51163801,62808307,62808308,65089163,78372319,66006423,53935772,53935773,60696960,72623182,59884454,48492501,48492500,59884451,72623171,86221854,85917726,85917723,92409088,92409089,86221745,72623070,59884390,59884391,72623074,86221749,86221804,100185489,114217324,114217336,106714417,92409180,78372497,65089314,53102845 Dl.O(d2) = 92456783,106762076,121015434,116032112,101985205,88009757,88009756,101985203,259514436,87851231,74246490,61467903,61467901,74246487,87851229,101825677,114563235,100532792,86571894,72974092,60237301,60237300,72974087,65139151,53154364,53154365,65139155,78420875,92456792,106762066,271582097,262006619,159557069,147197939,133975195,120133403,105921338,91713901,77786071,269523254,100532798,91526944,77595968,64427222,52553083,52553082,64427219,77595966,78420850,65139129,65139130,78414228,92450065,86571954,72974159,60237358,48843120,48843121,269832451,60237303,48843083,48843084,60237307,72974096,86571896,86571900,259070233,65139137,65139136,78420856,92456761,258441881,53154345,53154344,258441879,92456759,92456754,258441875,42704111,42704110,257824839,60237308,60237309,72974103,86571901,100532796,86571917,72974112,60237322,60237323,60237339,48843105,38922635,38922634,48843102,60237335,60237333,60237331,60237332,258807023,78420893,86571925,86571924,100532821,86571944,86571943,92456768,270023353,65139139,65139121,53154348,42704124,33673742,25867867,25867866,33673740,42704120,53154343,60237296,48843079,38922620,268417889,22935677,30336436,38922616,48843075,38922641,38922642,48843110,60237345,65139183,53154401,42704169,42704170,53154403,58284076,46918265,46918266,58284082,70999229,258183683,48843115,38922644,30336454,30336455,38922647,48843118,60237352,72974152,86571949,100532840,92456800,78420884,65139164,53154372,53154373,61632469,61632470,74412528,78420891,65139180,53154400,42704167,33673764,25867883,19210232,13721496,9399307,9399308,255284789,25867887,33673769,33673777,42704186,46918257,257432555,70999221,67805724,55464136,53154405,53154404,65139192,78420895,92456808,259666332,134812466,141800071,128447013,114563250,114563251,260129670,78420881,65139162,58284084,50149898,40128397,40128388,31448646,28541450,28541449,37040294,256157941,19210236,268031111,6158136,9399312,13721500,19210241,21317893,21317894,28541465,28541455,21317887,268381659,46918255,58284074,70999218,78420867,92456776,101998876,116048872,116048874,129949471,143276425,155820846,143276427,129949477,116048879,101998954,88020173,88020172,88020176,74412525,61632467,50149896,40128395,31448649,23956162,256024323,40128338,40128337,42704172,42704173,42704179,33673773,268306323,19210238,25867892,33673775,42704181,53154407,65139197,256649694,37040308,255265074,21317890,28541462,37040305,268748872,70999225,74412444,74412443,88020091,101998879,88020096,88020095,101998882,116048877,116048882,101998885,101998886,101998956,88020181,74412532,61632479,50149903,50149901,61632474,268682552,42266027,42266028,52651965,64551602,65139176,53154392,42704155,33673759,25867878,256157937,42704153,53154389,50149716,40128164,31448397,31448396,40128160,38887350,30301414,22902644,22902645,30301407,23956139,23956140,31448614,255265076,17609122,23956135,31448618,40123310,40123309,40128295,50149798,61632347,65139168,53154394,42704159,42704160,42266035,33286027,25525719,255265071,13485349,18916294,25525722,18916347,18916349,25525782,25525808,18916370,13485408,9226282,9226281,13485405,18916367,25525802,33286127,42266142,52652095,50149719,40128169,31448403,31448402,267999440,25525875,254924594,9226314,9226315,13485444,18916417,25525834,25525731,25525732,256024318,42266041,42266039,42266040,33286132,25525806,25525797,25525796,256133338,25525800,25525799,33286123,42266140,50149823,61632369,256649676,42266229,42266230,52652080,64551604,52651971,42266038,42265881,33285889,33285890,25525730,18916299,13485354,13485355,255265068,33286041,42266046,52651798,42265879,42265880,256133352,72946752,64427227,52553086,42194432,33234289,255668664,25525859,256133324,25525915,18916442,18916441,25525911,31448603,23956127,23956126,25525786,18916353,13485400,13485401,18916358,25525790,33286114,42266130,52652082,48809768,38887362,30301427,22902652,22902653,254445994,33285895,33286194,25525866,18916409,255265086,33286191,42266217,52652146,256133344,256133342,42266125,33286111,255265090,254652228,30301424,30301423,38887359,48809762,52652152,52652153,61632364,50149818,40128324,31448590,256133340,33286189,33286188,42266210,52652085,48809738,38887338,38887337,48809735,60206880,64551769,52652151,52652150,64551767,268748874,64551736,256649700,42266121,42266123,52652073,60206867,60206866,64551739,77734260,64551778,60206892,48809759,48809760,60206894,72946751,86546552,100508643,114538861,116048863,101998860,88020074,74412423,61632365,52652143,42266207,42266208,254924588,48809740,38887342,30301404,22902639,16671726,16671725,22902636,30301399,38887335,268026352,65163084,65163086,72946748,60206887,48809757,38887356,38887355,48809752,52652069,52652070,64551734,256649702,91662356,77734278,77734277,256133350,64551483,268298238,91662237,269509622,256649678,25525740,18916314,18916313,25525735,33286043,42266052,52651819,42265906,33285913,33285912,42265904,48809746,48809747,268145920,77733985,77733984,256649688,43066157,34008406,34008408,43066159,52652064,64551728,72946739,60206878,48809727,38887332,38887330,48809721,60206876,65569990,65569983,53545210,43066164,42265937,42265936,52651859,64551485,64551610,77734145,77959299,64764341,52844360,42439698,42439697,256133326,52651983,42266054,40123305,31443923,31443922,40123304,50144375,61626170,74404749,88010006,100508631,86546542,86546544,78905092,65569978,65569979,65569980,64551731,52652066,42266110,33286103,25525772,18916344,18916345,25525774,33286105,42266115,52652068,53545219,43066172,34008413,26166735,19466234,19466235,17928986,12703575,8630835,5612354,3485979,3485978,5612351,8630832,12703570,12703569,255274776,17928949,17928948,17928988,12703579,12703580,255274774,5612355,254284899,2070137,254423227,8630843,12703545,255597977,12703578,12703528,8630801,8630800,8630823,8630807,5612334,3485970,3485971,5612337,8630811,254879167,8630797,12703522,17928931,256051135,40530398,50566940,258299777,50566989,256558747,24314674,17928965,12703553,12703552,17928963,24314670,31832961,40530438,46641709,36755994,36755993,257107177,62059526,50566972,50566971,50566969,256558743,31832955,40530430,50566966,62059521,258655320,74858279,62059519,62059516,74858275,257485442,116608802,130454217,116608803,116608804,102504009,88495296,88495294,84385101,70827585,58112561,46742677,36861160,267957536,254709688,255365018,58112564,70827590,84385108,84385096,70827582,70827583,84385098,98293773,104156545,104156546,118311347,112275212,112275213,126134326,112275217,112275218,126134331,126134332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9673892, s2 = 15323179, dlinesl.size( ) = 2 s1 = 9673892, s2 = 15323179, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9673892, Dl.E( ) = 76, 3.79e-05 seconds used appending s1 = 14085951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8526004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 669366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8520193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8451743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6833889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6833889, s2 = 11178821, int(edited[s2]) = 0 s1 = 6833889, s2 = 11178821, d1 = 89, d2 = 23 Dl.O(d1) = 259011753 Dl.O(d2) = 25132083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6833889, s2 = 11178821, dlinesl.size( ) = 2 s1 = 6833889, s2 = 11178821, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6833889, Dl.E( ) = 146, 4.29e-05 seconds used appending s1 = 10221020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9214336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14955461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14955461, s2 = 10344991, int(edited[s2]) = 0 s1 = 14955461, s2 = 10344991, d1 = 6, d2 = 24 Dl.O(d1) = 66842644 Dl.O(d2) = 25553157,25553158,28276110,28139096,22727786,21630058,21630059,28904342,26431308,255564026,20355014,14611110,14611112,20292199,14561351,10019913,10019912,14561348,20292193,27220706,20832147,254484258,11509497,7656503,4844632,4844630,4707904,4707906,7451143,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442095,4081284,6512880,9909404,14407123,20094371,21218884,15250043,10520583,7083894,7083898,4858469,4486836,4486835,3826782,3826784,6116139,6116199,6116203,7126235,7436872,4699256,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290297,6837756,4844396,4844398,7656031,6763569,4238775,4238773,4426124,7035017,267883060,268383423,58420572,53365236,42899073,33854041,254688002,18589737,13210343,13210344,18589739,16790075,11739796,11739798,15756118,15756116,19224433,21823827,16408845,11425104,10913371,10912378,10912380,15756956,21824138,17197130,17197128,20044741,20044742,18239913,13743921,13743920,10913358,10913357,15724483,15724482,21782158,15723190,10886580,10886581,10886618,10886614,15723243,21778879,15719825,10883047,7195777,7195778,10883048,10886377,7198588,7198589,10886380,15722982,14338252,9850305,6470036,4054335,254095554,798879,798878,1403790,2426673,4054328,254213676,9850327,9850326,254468026,15757589,21824942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14955461, s2 = 10344991, dlinesl.size( ) = 26 s1 = 7186087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7186087, s2 = 9450873, int(edited[s2]) = 0 s1 = 7186087, s2 = 9450873, d1 = 47, d2 = 38 Dl.O(d1) = 263730801,189935610,262945085,147274756,260886959,120221019,134056204,120221014,120221013,106018974,91823923,259676547,106018975,91823929,91823928,106018978,120221034,134056218,260886961,259676545,259676543,120221022,134056212,134056208,120221016,106018957,91823915,77902480,77902479,91823911,106018953,260886957,260886965,106018967,106018964,91823918,77902482,64713691,52799835,52799836,64713694,77902486,91823925,106018976,106018966,259049779,64713691,52799835,52799836,64713694,77902487,91823928,106018978,260886969,261988323,260886959,106018959,106018960,120221020,260886963,120221024,120221029,106018971,91823921,77902484,77902485,259676547,106018975,91823929,91823928,106018978,260886969,261988323,260886959,106018959,91823916 Dl.O(d2) = 23764060,17436192,12290073,12290074,17436194,23764064,31248488,39924053,46671381,58046459,70765270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7186087, s2 = 9450873, dlinesl.size( ) = 26 s1 = 16061679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8413988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8301950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8430985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8604292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7706829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7706829, s2 = 6840224, int(edited[s2]) = 0 s1 = 7706829, s2 = 6840224, d1 = 47, d2 = 27 Dl.O(d1) = 273259111,107060638,92721204,78658617,65355183 Dl.O(d2) = 78658622,258754887,59540793,256942433,255904065,11249285,7467376,4719003,2842989,2842990,4719005,6224738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7706829, s2 = 6840224, dlinesl.size( ) = 38 s1 = 3325405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8331267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7064384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10299899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8214725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3592070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7933742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3828991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4562140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9676864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14238385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8073157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8510214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14093918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7239705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 282784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115174, s2 = 2897960, int(edited[s2]) = 0 s1 = 14115174, s2 = 2897960, d1 = 20, d2 = 1 Dl.O(d1) = 127864820,141224000,153896079,261689040,176340631,185784881,192059677,192059678,199412626,199412712,263446381,173743700,173743699,183514833,192059821,192059677,264139087,264431641,199412710,199412711,199412715,199412625,192059676,183514831,262590781,137648103,123966475,109826622,109826623,123966477,261570939,162741749,173743702,263446383,199412625,192059676,183514831,262590781,137648103,123966475,109826622,109826623,123966477,137648104,150645759,162741745,273299547,192059817,264139093,264431641,199412710,192059811,192059812,263446381,173743700,162741748,162741749,173743702,263446383,199412625,192059676,183514831,262590781,137648103,123966475,109826622,95622174,270154405,68098616 Dl.O(d2) = 86440020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115174, s2 = 2897960, dlinesl.size( ) = 2 s1 = 14115174, s2 = 2897960, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14115174, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 6974021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10176673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6892566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3364566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9826595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9773381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8514090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1823602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8568169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3371189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8683136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13574399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2738263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11378482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378482, s2 = 8698952, int(edited[s2]) = 0 s1 = 11378482, s2 = 8698952, d1 = 0, d2 = 0 Dl.O(d1) = 37004249,37004250,46883299,58250613,58250617,58250616,70966875,84529996,98451551,98451553,95170351,81112001,67645712,55306776,44461722,44461723,44461743,44461758,35086433,27001563,27001562,35086431,44461753,55306808,67645745,270659645,75964282,75964281,259592931,89743957,89743958,84532281,70969344,70969342,84532278,98453895,85546484,258727716,62981180,51302677,41119910,32306965,24694098,18225270,12926913,12926914,18225272,24694101,32306968,41119914,51302682,258103952,59220303,47822106,37900219,37900220,47822109,59220309,258103954,75964279,259182568,75964290,257727309,51302693,62981199,75964287,89743980,100092986,86125531,72526197,59791332,48406756,38501175,29937826,29937827,38501178,48406761,59791337,268934800,99532039,270818020,256920563,257500775,257747351,41480350,32602395,24939551,18426663,13088607,13088606,18426661,256606469,257747345,76607181,268627374,48406773,38501184,29937831,29937830,38501182,48406767,59791345,59791342,59791343,72526216,86125540,100092990,114127759,259347406,118810173,104629320,90465499,90465500,85440780,85440781,99381068,113381089,127238430,127238431,139760828,126385093,126385092,139760827,272832535,175143121,167541490,155929462,143388713,130058005,116149493,102092365,102092364,116149496,130058011,143388720,152481911,139760817,139760818,262167385,152481923,139760834,126385096,112514106,260517815,259913789,98493340,112485221,126352953,130058008,126385098,112514108,98518982,84593591,71029097,58313292,46946671,46946670,58313291,50231854,50231855,61712025,71029047,58313248,46946638,37067388,28565550,21338568,15364660,10615788,7005430,7005429,10615786,15364656 Dl.O(d2) = 37004249,37004250,46883299,58250613,58250617,58250616,70966875,84529996,98451551,98451553,95170351,81112001,67645712,55306776,44461722,44461723,44461743,44461758,35086433,27001563,27001562,35086431,44461753,55306808,67645745,270659645,75964282,75964281,259592931,89743957,89743958,84532281,70969344,70969342,84532278,98453895,85546484,258727716,62981180,51302677,41119910,32306965,24694098,18225270,12926913,12926914,18225272,24694101,32306968,41119914,51302682,258103952,59220303,47822106,37900219,37900220,47822109,59220309,258103954,75964279,259182568,75964290,257727309,51302693,62981199,75964287,89743980,100092986,86125531,72526197,59791332,48406756,38501175,29937826,29937827,38501178,48406761,59791337,268934800,99532039,270818020,256920563,257500775,257747351,41480350,32602395,24939551,18426663,13088607,13088606,18426661,256606469,257747345,76607181,268627374,48406773,38501184,29937831,29937830,38501182,48406767,59791345,59791342,59791343,72526216,86125540,100092990,114127759,259347406,118810173,104629320,90465499,90465500,85440780,85440781,99381068,113381089,127238430,127238431,139760828,126385093,126385092,139760827,272832535,175143121,167541490,155929462,143388713,130058005,116149493,102092365,102092364,116149496,130058011,143388720,152481911,139760817,139760818,262167385,152481923,139760834,126385096,112514106,260517815,259913789,98493340,112485221,126352953,130058008,126385098,112514108,98518982,84593591,71029097,58313292,46946671,46946670,58313291,50231854,50231855,61712025,71029047,58313248,46946638,37067388,28565550,21338568,15364660,10615788,7005430,7005429,10615786,15364656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378482, s2 = 8698952, dlinesl.size( ) = 2 s1 = 11378482, s2 = 8698952, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11378482, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7676247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7676247, s2 = 3164397, int(edited[s2]) = 0 s1 = 7676247, s2 = 3164397, d1 = 5, d2 = 2 Dl.O(d1) = 272184698,126646018 Dl.O(d2) = 99718381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7676247, s2 = 3164397, dlinesl.size( ) = 2 s1 = 7676247, s2 = 3164397, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7676247, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 8492490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9801995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6489775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13740203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104638, s2 = 15337615, int(edited[s2]) = 0 s1 = 14104638, s2 = 15337615, d1 = 10, d2 = 9 Dl.O(d1) = 99790903,99790904,113804721,257519682,99790905,113804722,121788836,107405703,107405704,92997094,78886817,78886816,92997092,92997096,78886819,78886818,259091549,65551853,53527029,53527030,43047275,33988584,26147783,26147782,33988581,43047273,53527034,65551855,78886821,92997097,260340641,121788842,135728571,148967579,161273286,161273288,172473360,182425102,182425104,263768795,183162377,173331738,262074763,137015457,123247443,109022050,109022049,94741649,80663395,67188342,54868589,44067924,34751348,26731627,19897108,19897107,26731625,26731628,19897110,14253479,9796936,6440055,4039503,4039504,6440057,9796938,9797030,9797032,14253581,14253475,9797024,6440121,4039541,2420437,2420436,4039538,6440116,9797019,9797041,6440130,4039544,2420439,2420440,4039547,6439906,4039590,2420467,2420468,4039593,6440196,6439894,4039394,2420355,2420356,4039396,6439897,9796708,9797107,6440184,6440183,9797104,9796859,9796857,14253382,16354568,20993222,20993223,20993765,15079751,15079750,15079635,10401114,10401113,15079634,10401167,6856390,4302922,4302921,6856387,10401160,255158270,9796649,6439860,6439862,9796656,9796627,6439846,4039364,4039365,6439850,6524910,9928166,6856342,4302890,4302892,4302773,4302772,6856145,10400804,6856434,6856435,10401225,15079328,10400900,6856214,4302829,2572631,2572620,2572622,4302810,6856211,10400857,10400856,10401215,10401216,6856710,6856711,10401612,6856722,4303151,4303152,4303054,2572752,1481303,837376,267763197,2572746,4303039,6856579,10401435,15080014,15080034,10401459,6856598,6856597,10401458,15080032,20994076,28175434,28175172,28175173,20994161,15080116,15080115,20994158,28175530,36651224,46403493,37863251,29293936,21966917,15872901,15872900,21966916,28175918,27023869,27023870,33096149,33096150,36836270,28339418,254327988,15178571,20994534,20993880,20993878,28175228,36650912,46517965,37162274,28645974,28645973,37162272,256834028,47787741,47787742,59187882,71927476,85515115,99460985,113471095,113471094,109804255,95601907,81568317,68078423,68078422,81568315,95601903,109804247,123940688,137619166,141219755,127860974,127860973,141219758,146302199,133074643,119244594,109423095,109423096,99960664,257190592,109423098,123617380,129953620,141219752,153891408,146302197,133074641,119244592,105051786,90872531,90872533,91245271,77325219,77325221,91245273,105467784,119707238,133581872,146839534,159212529,170550487,180681702,180681704,189133676,180192886,170027664,158670181,260944530,119244574,119244575,133074624,261414245,133074632,146302191,158670183,148954316 Dl.O(d2) = 78867419,65531247,65531248,65531251,53505523,43025851,33967991,26129307,19434379,19434378,26129304,33967985,43025847,53505519,65531246,78867417,92979464,89793233,76016332,76016333,86288962,92979461,92979462,95338101,81279856,81279855,67812649,55471042,55471043,48560582,48560583,59952684,256428716,55471049,44621714,44621713,37145702,28631742,28631743,37145704,47034718,58407190,71125005,84689303,98613857,103224100,89135702,75390685,62474562,50876170,40760971,32005495,24445895,255212611,8686876,5653211,3515111,3515112,5653214,8686882,12779142,18029317,18029318,24445902,24445904,32005506,257118653,256059591,18029309,12779135,12779134,18029305,24445890,255694090,24445955,18029375,18029376,24445956,32005540,33271965,33271966,37129002,28617456,28617455,37129000,40760979,42508215,47018911,47018910,58390203,258011103,57820115,70521038,81632118,68141911,55743850,55743851,55743844,44835962,35410753,27285672,20350577,20350578,27285674,33452852,25681438,19058545,19058544,25681436,33452848,42445920,257217983,42445927,52850162,52850151,52850150,64769882,74143463,87747924,91271384,77351404,64203751,52353411,42014080,42014081,52353415,64203757,77351413,91271397,105493709,119732318,133606093,141794719,260788844,260788846,141794718,128441053,114556816,100526068,86564733,86564732,86564748,257712100,48834171,38913282,30326268,22925165,16690713,11651671,11651672,16690714,22925156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104638, s2 = 15337615, dlinesl.size( ) = 2 s1 = 14104638, s2 = 15337615, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14104638, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 14105374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3159208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6861509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14644461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14644461, s2 = 7676154, int(edited[s2]) = 0 s1 = 14644461, s2 = 7676154, d1 = 0, d2 = 2 Dl.O(d1) = 91151588,91151565,77235876,64091558,52244028,52244027,52244010,41906745,32967335,255647873,13282674,13282675,18675057,25245373,32967352,41906748,257768439,62682355,51051896,51051897,62682357,75627004,72236399,59501058,48113016,48113017,259376479 Dl.O(d2) = 272183050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14644461, s2 = 7676154, dlinesl.size( ) = 2 s1 = 14644461, s2 = 7676154, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14644461, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 3691382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10184436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110080, s2 = 2741883, int(edited[s2]) = 0 s1 = 14110080, s2 = 2741883, d1 = 1, d2 = 4 Dl.O(d1) = 85422947,85422946,85422948,99365438,113366740,260999348,260999346,165068516,175798364,185308387,193604792,263679826,188346599,179297115,169012129,157550867,145117484 Dl.O(d2) = 86092424,259396803,72494979,59760666,48377633,38475421,38475420,48377628,59759003,257853289,43195740,43195741,53707481,65764445,79120340,93236863,107640249,260014837,260014839,127961424,131859517,118034065,103891578,89790245,76013594,63031016,51350676,41165594,41165593,51350675,51350694,41165607,32350656,32350657,41165610,51350701,63031054,76013647,89790315,100054864,100054790,86092371,72494974,59760663,48377627,38475415,38475414,48377624,59759003,257853289,43195740,43195741,53707481,65764446,79120342,87011722,101005379,115076609,129003491,127959263,127959264,127961425,127961427,261466617,122015226,107640246,107640247,122015230,122015231,122015232,260014831,100054828,89790222,76013567,63030998,51350658,41165584,32350645,32350650,35399174,35399173,257046664,35398723,27272411,27272410,35398810,27272372,27272370,27273693,35400192,35399177,27272673,27272672,35399175,27272776,20336836,14595322,10042920,10042924,14595331,20336855,255763053,14595334,10042926,10042928,14595336,10042946,6599850,4134689,254216673,1429754,2473367,4134694,6599856,10042956,14595376,14595644,10043123,6599941,4134737,2473387,1429765,1429766,2473390,4134744,6599952,10043143,10043028,10043027,14595482,20337080,14595841,10043259,6600019,6600020,10043263,14595846,20337619,27140562,20337056,14595472,14595471,20337054,27273057,35399568,27273450,20337389,14595688,14595689,20337393,27272923,20336952,14595398,10042968,10042970,254834926,27272931,31065846,23581861,23581860,31065842,256500054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110080, s2 = 2741883, dlinesl.size( ) = 2 s1 = 14110080, s2 = 2741883, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14110080, Dl.E( ) = 6, 7.87e-06 seconds used appending s1 = 9762401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9798449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1029755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7080250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11329316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329316, s2 = 13541298, int(edited[s2]) = 0 s1 = 11329316, s2 = 13541298, d1 = 0, d2 = 0 Dl.O(d1) = 267743327,77879,79205,79206,143994,79271,43384,24078,254071617,23142,23143,254070453,7493,7494,13578,254071655,23484,23485,42472,23462,13050,13049,23460,42467,24095,13452,267735069,43406,79301,79668,43649,43650,79671,77225,77224,141051,141494,255459,256212513,257303479,67566858,81035480,95093288,109347256,123538874,137269971,150310888,162446747,263023061,155149224,142505111,129128000 Dl.O(d2) = 267743327,77879,79205,79206,143994,79271,43384,24078,254071617,23142,23143,254070453,7493,7494,13578,254071655,23484,23485,42472,23462,13050,13049,23460,42467,24095,13452,267735069,43406,79301,79668,43649,43650,79671,77225,77224,141051,141494,255459,256212513,257303479,67566858,81035480,95093288,109347256,123538874,137269971,150310888,162446747,263023061,155149224,142505111,129128000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329316, s2 = 13541298, dlinesl.size( ) = 2 s1 = 11329316, s2 = 13541298, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11329316, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 445047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8585591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10188213, s2 = 9337051, int(edited[s2]) = 0 s1 = 10188213, s2 = 9337051, d1 = 22, d2 = 4 Dl.O(d1) = 58185084,46818702,46818701,268914189,28441330,28441329,36940805,46818703,52325493,58185086,64176885,58185084,52325492,46818700,46818701,39696358,257042943,33040989,256631963,41984860,33040985,25313168,25313167,33040984,41984858,52325486,64176881,58185085,58185086,64176885,52325490,257776091,41984860,33040985,25313168,25313167,33040984,41984858,52325486,64176881,58185085,58185086,258390827,64176881,58185085,58185086,64176885,58185084,46818702,46818701,39696358,31019401,23538451,17230574,12112540,8144115,5217107,3182477,3182478,5217109,8144120,10662547,10662560,15423919,21412996,28656704,37175020,41984866,41984867,52325493,58185086,64176885,58185084,46818702,46818701,39696358,257042943,33040989,25313173,18736031,18736032,25313174,33040990,36940806,28441330,21215766,15247566,10518809,6936904,4359062,2611803,1507926,855344,483070,483073,855349,858979,858980,267786135,4361618,4360076,254223453,1508423,2607109,1509776,1509778,2614431,4362672,6941789,7702580,7355355,4874889,2937451,2937452,4874570,4874571,7700395,4873545,4765335,2937267,2798777,2798778,4646282,2936454,1702895,967989,967991,1702903,2936471,4873103,7146633,7146634,10738919,7095343,4467426,4467428,7095351,10738937,14368366,14368364,11333806,11333805,16290639,16290873,11333971,11333975,9901448,9901450,14395310,20077849,21210107,21210108,256845327,31644731,24137777,17773612,16168518,11236163,255086749,8531846,8531845,12310334,16174016,16174011,12676833,8609084,5594648,3471216,2839081,1646928,936444,936445,1646929,2839084,4712716,3415874,2016431,2016430,1153508,647143,359083,359082,645344,358109,196115,196117,358112,645353,1150421,2011629,3409380,5522747,8524132,8520416,8520417,8085895,8085896,12027303,12185205,17308928,23624421,31110750,39791142,49811549,61291093,74072448,87679426,101650755,115694321,129579989,115694286,101650726,101650727,115694292,260104749,101650742,115694304,129580009,115694309,101650745,101650746,115694312,115694283,101650723,260104745,129579969,115694266,101650706,87679382,87679383,101650708,115694269,115694271 Dl.O(d2) = 255594122,57835607,46479618,254887744,268602241,57835605,70537359,61405591,49926063,39906613,31229957,23746228,17420888,255168733,8292355,5349776,3287954,254268605,1104422,267771795,619679,344339,344338,619677,1104421,1933543,1765079,1005658,567461,567459,1006909,1767044,3035773,2017731,1154304,1154307,2017737,1154347,1154344,1598036,1598035,2009899,2009897,3407119,5520379,8504641,5505123,5505122,254866823,255191725,8543005,7422136,4690263,4690262,254527179,4690264,3471386,3471384,5506008,267847487,2005973,1146789,643334,357071,357072,643339,1146796,1148710,1148708,1148742,1158495,2024269,2008620,1148477,644295,644294,1148474,2008617,2008676,2008677,2059461,1181817,1181818,1768283,1768284,3037435,5019593,5348421,4690294,4690293,5514213,3401229,2005385,2005388,2048095,1174461,1174462,1985887,1985889,3374449,4690283,3286991,2861875,1660964,945049,533029,254124939,1660967,1936219,1105933,1105934,1936224,3292335,3405854,5360818,8260823,5538589,3475107,2061841,1183341,664716,664717,620562,344839,344838,620557,1105973,1154715,1107120,1107119,1936978,1106399,1106398,1936975,3293431,5357699,8303695,12294396,17441091,12621063,8567330,5562960,3446685,2040837,2040838,3446691,5562971,8567344,12621078,255099486,31702314,268089138,23153121,16892077,11820557,11820558,8568375,8568374,254617331,5596127,8573097,12627423,8610443,5596162,3472881,3472883,5596167,8610452,8573946,5569871,3453787,2046732,1173622,1173620,2046723,3453769,4833810,2912752,2912753,4833813,7640477,11487355,16487187,17806684,17806685,23984150,23984149,24141564,24141565,23782326,17452257,12302878,12302879,17452262,15754832,10911012,7216127,4546736,4546734,7216122,8309721,8309720,12302943,12462842,12462844,12462874,12462889,12462888,12678072,12678071,17796120,12596661,12596658,12678125,12678126,12678113,12300413,8307769,8307772,12300425,12462439,12309752,8314505,8314504,8307764,8307765,12300404,8431339,5443002,5443000,8431331,12462553,12561960,12303173,12303171,17372661,17372663,21821308,17363478,12233192,8260241,5329130,5329133,8260245,12233197,17363485,17452309,23782372,268678395,39942208,39315599,30717240,30717239,39315597,38676361,38676362,39908461,31232016,23748472,17423022,17423021,23748470,31232013,30717237,23299980,17039813,11953529,11953530,17039815,17233220,12114646,254577001,5218080,8145618,8658917,12741712,15900007,21341336,15366911,12114754,8145692,5218125,5218124,3279426,3279425,5334986,3279417,1928961,1102117,618550,618552,1102124,1928969,3279437,5335026,8268273,12242984,17374968,23697103,17757755,17757754,23540648,17233662,17233660,23541911,31023072,39315602,46904637,37027263,28529244,21306974,15337410,15337411,17336189,13382832,13382825,13382824,18789319,25374155,33109469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10188213, s2 = 9337051, dlinesl.size( ) = 2 s1 = 10188213, s2 = 9337051, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10188213, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 8548545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 102044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13679005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2164637, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6819094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6721783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6721783, s2 = 3264702, int(edited[s2]) = 0 s1 = 6721783, s2 = 3264702, d1 = 10, d2 = 10 Dl.O(d1) = 257709356,116103805,103393732,89304199,89304200,103393734,103393735,117518606,261355461 Dl.O(d2) = 257709356,116103805,103393732,89304199,89304200,103393734,103393735,117518606,261355461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6721783, s2 = 3264702, dlinesl.size( ) = 2 s1 = 6721783, s2 = 3264702, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6721783, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 13224023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13224023, s2 = 7279878, int(edited[s2]) = 0 s1 = 13224023, s2 = 7279878, d1 = 10, d2 = 17 Dl.O(d1) = 46615053,36727656,28233888,21036506,15109995,10422197,10422198,15109997,21036514,21036541,21036542,28233945,255576178,256533360,269402558,112112787,271864877,261303645,155906405,155906397 Dl.O(d2) = 261846108,274083803,219876766,216641493,265605257,274642056,232967327,274704345,234097816,266148365,274606405,234097815,266536645,266641676,237261962,266715336,236396768,235496057,266394828,274499342,223816559,223816558,265958665,232299271,233488215,266197152,274543820,225975085,265329288,264918206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13224023, s2 = 7279878, dlinesl.size( ) = 2 s1 = 13224023, s2 = 7279878, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13224023, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 6448804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3521354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8707902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8688776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8688776, s2 = 10357574, int(edited[s2]) = 0 s1 = 8688776, s2 = 10357574, d1 = 24, d2 = 31 Dl.O(d1) = 257108185,62072421,74870348,88506169,102513929,260760563,143790892,156315439,156315443,167895951,156315445,143790897 Dl.O(d2) = 130462231,116617602,102513933,88506171,258300637,62072421,74870348,88506168,102513926,116617593,261331257,143790895,143790896,143790884,143790885,262846749,187524339,187524340,178322963,263652917,262624566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8688776, s2 = 10357574, dlinesl.size( ) = 14 s1 = 9392225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7022543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7022543, s2 = 2985946, int(edited[s2]) = 0 s1 = 7022543, s2 = 2985946, d1 = 56, d2 = 1 Dl.O(d1) = 261477522 Dl.O(d2) = 89801442 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10142623, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11283882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3538461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10191355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4447578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13661039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13661039, s2 = 11307411, int(edited[s2]) = 0 s1 = 13661039, s2 = 11307411, d1 = 16, d2 = 12 Dl.O(d1) = 134033747,260846190,105999337,105999336,120200434,113034269,259976250,257469657,37527995,28983860,28983859,37527993,47435594,58822003,55371445,55371446,67711210,61758012,50278000,40256771,40256772,31569418,24063864,24063863,31569415,40256900,49202905,39276308,30679425,30679424,26097962,26097963,33240578,33240577,42201546,52561449,48296529,257456888,257178109,32955788,32955787,39467709,32821003,25116841,25116840,32821001,41742120,257764093,76987097,271021689,119236431,261508162,105044140,105044139,119236435,105044137,105044136,114029290,127909638,259388376,141270239,141270240,153941368,165715032,153941369,141270242,259388376,141270239,141270240,153941368,165715032,165715033,260006484,273128951,153941364,153941365,158661401,146293421,133066231,261508162,105044140,105044139,119236435,105044137,105044136,114029290,127909638,259388376,153941366,271339504,141270242,259388376,141270239 Dl.O(d2) = 146293426,158661404,165715027,153941363,141270238,127909635,114029288,256950374,72442657,59706631,48320002,255092612,29836928,29836927,38409259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13661039, s2 = 11307411, dlinesl.size( ) = 14 s1 = 9823815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3553553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8426891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9766203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8519089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7186050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109706, s2 = 4861907, int(edited[s2]) = 0 s1 = 14109706, s2 = 4861907, d1 = 35, d2 = 32 Dl.O(d1) = 52925739,42515218,33515284,25735861,19103052,13639106,9339744,6117642,3827635,3827636,6117647,9339756,13639126,19103084,25735913,33515357,42515303,52925816,43285703,34188789,34188792,43285705,53810804,54985080,268653082,42515249,33515309,25735875,25735874,33515306,30153684,22765648,16552066,16552067,22765652,30153687,38735784,48656728,52925596,54985094,44164098,44164097,46903828,37026333,37026334,46903830,58269481,52925627,42515116,33515218,25735817,19103027,13639089,9339738,6117640,254659911,13639095,19103035,25735832,21530348,21530349,28795595,37333066,47243081,42515100,33515210,33515211,42515103,34823209,26780758,19929195,19929196,26780762,34823219,44164109,54985103,57828181,57828178,61529697 Dl.O(d2) = 262521716,204154959,263758526,213540972,208977457,208977458,213540975,217278936,217278909,213540921,264389238,190017993,181164034,181164033,190017989,197653894,204155069,197653829,190017930,190017931,196783937,203419533,203419620,203419622,208977278,203419875,197653726,190017844,181164002,181164000,190017942,196784098,196784100,196784099,203419522,208977170,208977268,262977590,196783950,189029163,189029164,190017819,189029224,180075139,169898015,169898013,169898122,169898121,180075282,189029410,262977608,209578907,208977459,206369498,200313331,193143345,193143344,200313330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109706, s2 = 4861907, dlinesl.size( ) = 2 s1 = 14109706, s2 = 4861907, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14109706, Dl.E( ) = 36, 2.41e-05 seconds used appending s1 = 3254201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8314784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4943109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7129623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1125729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14989131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6730657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2740040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8603078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9516156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8499293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8499293, s2 = 14058678, int(edited[s2]) = 0 s1 = 8499293, s2 = 14058678, d1 = 105, d2 = 107 Dl.O(d1) = 71613542,71613543,270663522,72467399,85178026,86447921,72852855,72852854,257060178,60116111,255558080,38445365,29889081,29889080,38445363,48347442,59731570,59731573,48347444,48347443,59731571,72467404,86066111,86066113,72467405,257642736,86066109,86066107,86066108,100029638,114056935,127937487,260710136,123761308,260113346,115818299,101772628,87800504,87800503,101772627,115818298,261283349,123761313,123761314,137486397,123761310,123761309,123761329,123761328 Dl.O(d2) = 38282085,29715315,29088875,29088872,29715389,22359524,16206976,13211128,13211131,13211358,10252035,10252033,13453808,13455267,9201470,9201471,9200797,9200798,13454139,12083787,8125867,5205895,5205897,8125874,11265892,16206415,16808846,11754091,11754090,7848095,7848093,7848113,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,17869328,12654214,12654216,13324938,18718704,16208782,12654016,8591367,5582423,3463605,2054112,2054114,3463623,5582457,8591437,12654127,15223317,15223316,18881637,13455431,12653893,11405413,7579042,7579046,11405424,13455413,13455411,18744586,18744584,25323477,33051957,41995352,42197880,42197879,52556990,257380428,61767338,74551148,88166418,102157741,116219311,127743628,113870416,99852821,85898089,72305380,72305381,85898091,259039386,99852822,271337415,85898087,72305377,256649656,38275994,38275995,48185426,269084448,257205644,85898080,99852815,113870409,119164099,260282186,90794520,76919823,76919824,79143070,256971056,43221226,43221227,53733074,259001549,76919808,76919809,63813096,63813097,63813109,51997947,269488597,76919822,259628655,113772305,99758245,85804291,72210007,257516522 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8481607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9182805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9182805, s2 = 1825760, int(edited[s2]) = 0 s1 = 9182805, s2 = 1825760, d1 = 0, d2 = 6 Dl.O(d1) = 64753440,52834226,42430461,33438330,25668737,19048408,13597889,9311040,9311039,9363928,9363929,13673758,19082481,19102562,13638850,13638849,19035570,18984585,18984584,19011291,25626023,20940979,15032525,10360222,10360221,8360760,8360762,12372789,17541712,20285708,20285712,255289077,13791037,19289935,25954191,33762630,42794080,53246197,65235645,78525794,92572907,106892121,121159396,134968548,123683700,109492242,109492241,259165548,67719062,67719057,55379241,44532997,256225464,27070760,35156752,44532999,55379244,67719060,81184029,73972372,61193856,258234407,49715155,46305513,36452600,27994161,20829913,18672697,13617062,9324105,6107657,3821537,2289598,1328421,1328420,2289595,2283041,1324218,755674,429391,242369,134018,72881,72878,134002,242340,134126,72937,72938,73375,39732,39735,73441,135090,244498,432842,753558,753562,1320918,267812299,6096386,6096385,9306676,12277622,17419574,23744690,31228463,39905216,49924732,61404293,74184196,87788427,101761334,99459700 Dl.O(d2) = 140613222,127267337,113408823,99407755,85466936,71882322,59144182,47745558,37823583,37823584,47745557,37823582,29258604,21937806,21937807,21937809,15849913,10984618,7271006,7271000,7271001,10984609,15849903,21937788,29258579,37823547,29258594,27070737,27070738,35156730,44532974,47745545,47745544,59144174,71882318,67719008,55379197,44532958,35156710,35156709,44532956,55379195,67719006,81183976,95239139,109492198,123683677,137414556,150453710,162581992,173611888,183405769,191967217,199331785,199982002,192743688,184327917,174710659,261417216,139327402,260252880,112138225,98175555,84279374,70726999,58011235,46636579,36749788,33726089,25919400,19257554,13761786,13761785,19257552,256161085,42755555,53204930,51423933,51170081,42855818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9182805, s2 = 1825760, dlinesl.size( ) = 2 s1 = 9182805, s2 = 1825760, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9182805, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 8484335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 440603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8454302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2425105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13564783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10159517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3652524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10336309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6504330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9827823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9486402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3679782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8214148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8449142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13309113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8403177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8403177, s2 = 10280071, int(edited[s2]) = 0 s1 = 8403177, s2 = 10280071, d1 = 72, d2 = 81 Dl.O(d1) = 113736952,113736777,99722220,99722221,99722480,258746421,59435441,59435442,258122903,48043489,38130401,29564730,255894881,22219001,29564783,38130490,48043651,59435574,72174233,85768468,72174098,59435478,48043567,48043568,59435480,72174101,85768293,72173952,72173953,59435419,59435417,59435444,59435439,48043545,48043544,59435435,72174043,72173996,72173995,85768337,85768423,85768422,99722486,113736748,99722192,99722191,113736745,127605634,140955118,127605653,113736793,99722241,85768205,72173888,59435308,48043458,38130383,29564714,22218958,22218960,29564718,38130390,48043432,38130364,29564702,29564703,38130355,38130354,48043418,59435253,72173806,85768112,72174182,72174183,85768417,72174057,59435447,59435439,48043545,48043544,59435435,72174043,72173996,72173995,85768337,85768423,85768422,99722486,113736748,99722192,99722191,113736745,127605634,140955118,127605653,113736793,99722241,85768205,72173888,59435308,48043458,48043457,48043452,48043451,59435299,72173875,259371409,113736775,99722474,85768412,259371443,113736637,113736638,99722179,85768155,72173852,59435282,48043443,48043444,59435285,59435243,48043410,48043411,38130360,38130359,48043421,59435258,72173817,85768123,99722159,113736717,113736768 Dl.O(d2) = 233000781,234126756,266260940,265904236,274563585,232841754,233000799,231756044,266015832,228810938,230178756,265763626,226798806,224736993,224736994,226798808,228597236,230178775,231582866,266151954,266246309,235018195,266441394,233000801,234126766,274705169,235962474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8403177, s2 = 10280071, dlinesl.size( ) = 2 s1 = 8403177, s2 = 10280071, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8403177, Dl.E( ) = 90, 3e-05 seconds used appending s1 = 8527093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2875441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8540028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9762773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 513193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11399634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3712560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3712560, s2 = 16179338, int(edited[s2]) = 0 s1 = 3712560, s2 = 16179338, d1 = 0, d2 = 0 Dl.O(d1) = 100547677,100547676,114578486,128462657,128462655,128462656,141815608,128462651,128462652,128462660,114578488,114578487,128462659,141815610,154461695,166195582,176813199,186206409,180671563,170538272,159197778,146823186,133564839,119690292,105452201,91230584,77311348,64163296,52311732,41971114,33027993,25301853,18727151,13331595,9109058,9109057,13331594,17192265,12089068,8129729,5208546,3177734,3177732,5208540,8129717,12089046,13516999,9249341,9249340,13516997,18953652,255495538,42306518,52693439,63662388,269126114,57879286,70580398,84116868,97991855,259719784,59404073,48017054,256388963,22200434,16071499,268222555,20947383,255007689,10366343,6853115,4300768,2571342,1480377,836715,836714,1480376,2571340,4300763,6853110,6263968,5954380,5954379,5921134,3702494,3702493,5921156,8134079,5211452,5211450,6785081,5211684,3179641,1861212,1861210,3179634,5211621,7777427,11667142,16707667,22943654,30165090,22775596,22775597,30165092,38748644,48670414,60066716,72804483,86400146,73594847,60845415,49443862,39512634,30904504,23469919,23469918,30904502,39512633 Dl.O(d2) = 100547677,100547676,114578486,128462657,128462655,128462656,141815608,128462651,128462652,128462660,114578488,114578487,128462659,141815610,154461695,166195582,176813199,186206409,180671563,170538272,159197778,146823186,133564839,119690292,105452201,91230584,77311348,64163296,52311732,41971114,33027993,25301853,18727151,13331595,9109058,9109057,13331594,17192265,12089068,8129729,5208546,3177734,3177732,5208540,8129717,12089046,13516999,9249341,9249340,13516997,18953652,255495538,42306518,52693439,63662388,269126114,57879286,70580398,84116868,97991855,259719784,59404073,48017054,256388963,22200434,16071499,268222555,20947383,255007689,10366343,6853115,4300768,2571342,1480377,836715,836714,1480376,2571340,4300763,6853110,6263968,5954380,5954379,5921134,3702494,3702493,5921156,8134079,5211452,5211450,6785081,5211684,3179641,1861212,1861210,3179634,5211621,7777427,11667142,16707667,22943654,30165090,22775596,22775597,30165092,38748644,48670414,60066716,72804483,86400146,73594847,60845415,49443862,39512634,30904504,23469919,23469918,30904502,39512633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3712560, s2 = 16179338, dlinesl.size( ) = 2 s1 = 3712560, s2 = 16179338, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3712560, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 3722152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6918424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14096184, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2143745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2947718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6923847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3274262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3269464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349257, s2 = 14346673, int(edited[s2]) = 0 s1 = 10349257, s2 = 14346673, d1 = 98, d2 = 128 Dl.O(d1) = 260858384,20784100,14896381,10242899,6730236,4981695,3009360,1748077,1748079,1748405,994186,994183,1748415,3010008,4982784,7849749,9179626,6008196,6008198,6922667,6922668,268012981,5728140,3566451,3566450,5728138,8793954,12927080,18225459,257141151 Dl.O(d2) = 274986091,267474797,245726345,245597602 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16080739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3967011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8815556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7683840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7683840, s2 = 13534738, int(edited[s2]) = 0 s1 = 7683840, s2 = 13534738, d1 = 4, d2 = 6 Dl.O(d1) = 272463170 Dl.O(d2) = 271171338,91315577,91315578,91315576,77396635,259022899,260266749,105533645,105533646,105533658,105533657,259375462,77396755,64246101,64246100,64246135,64246134,64770069,64770068,77964921,77396757,77396756,91315672,77396770,64246119,52390268,42046210,33098036,255460332,18781463,25364392,33098034,42046208,52390265,52390269,256937468,33098003,33098004,42046166,33098055,33098057,256937476,33098046,25364396,25364397,33098048,42046225,52390286,64246136,77396685,64246013,52390190,256395396,33098005,42046139,33097982,25364358,18781446,18781445,25364355,33097977,42046127,42046182,52390219,64246060,77396716,74405291,258700642,77396668,77396669,77396670,91315614,77396664,77396665,77396726,77396725,258785668,101026828,101026829,259326882,77396706,64246044,64246045,60118341,60118342,72855318,86450729,91315642,80359535,66933612,54676891,54676889,55287927,67625911,81091512,95148908,105533587,119766866,270818058,77396708,77396709,91315637,105533612,91315644,77396724,259650393,114406712,114406713,271839004,114406708,105533604,101890812,87916583,87030481,73412777,73412776,66933605,66933606,60095811,60095812,62071614,62071615,74869721,72833103,72833102,60629403,49228258,258209151,86987686,100973467,101890814,101890815,100383677,87916586,87916585,88505648,74869725,72833122,72833121,76846816,63742008,51931780,51931781,63742011,60095853,60095851,72833061,86428021,258193844,54676902,43934127,43934115,43934114,43934118,43934120,54676895,60095809,48699734,38777455,38777454,38777458,48699739,49228260,49228259,60629405,73375074,86987689,80362017,72833055,60095775,60095774,72833054,72833123,258215438,72833136,86428063,72833106,60095826,256982519,30193470,22803222,22803221,30193467,38777453,48699732,60095806,54680130,54680129,66936470,64689103,64689104,77878715,86428004,270022454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7683840, s2 = 13534738, dlinesl.size( ) = 2 s1 = 7683840, s2 = 13534738, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7683840, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 15912963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15912963, s2 = 12963221, int(edited[s2]) = 0 s1 = 15912963, s2 = 12963221, d1 = 87, d2 = 62 Dl.O(d1) = 270846268,98884384,98884382,98884383,85159025,85159026,84503431,255916082,269815156,113071172,123654082,123654081,269345282,67683638,55343899,55343898,60799099,73546196,67683633,67683632,67683635,55343895,44497569,42359846,33370866,25606096,25606097,33370868,32794809,25095392,18548411,13179148,13179146,18548408,23742455,17417858,12276483,8290852,5348734,3287278,3287279,5348736,8290861,12276501,17417882,23742496,31225860,255960458,256455496,36613605,46479990,257641229,49922533,59813510,48427504,256461138,22591029,29955037,38519874,39902663,49922286,61402034,74182102,76941398,268967088,41708875,255760982,18547528,18547527,25094103,31226036,39902771,49922417,61402152,74182215,73183495,257586220,74182207,73183490,73183491,258194212,87145548,73526533,60778364,49376979,39448623,39448624,49376981,60778366,73526536,73176806,60429863,49026154,39097084,39097085,49026155,39387201,39387200,38037658,38037660,47951006,59342262,72076233,85663335,74182958,257005578,74541066,74541067,88155799,87787236,87787235,101760240,115806528,115806529,129705494,143036422,155586673,146256150,259496838,104991711,104991713,260112082,260708996,129677935,115781371,258906282,74159382,61378904,49898424,49898423,61378901,74159380,87763691,101736242,115781363,109352279,109352278,123544666,125413845,137277096,137277095,150319130,137648641,125413858,259917496,83838769,269778714,46278713,46278712,57623242,70313800,83838767,97696388,111614945,260049220,270345312,67569997,81038921,258808402 Dl.O(d2) = 120311499,106111412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15912963, s2 = 12963221, dlinesl.size( ) = 6 s1 = 8004544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9824589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6626351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3991222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13619613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13619613, s2 = 10207793, int(edited[s2]) = 0 s1 = 13619613, s2 = 10207793, d1 = 142, d2 = 118 Dl.O(d1) = 174966395,259367666,258742772,139530660,270836948,174966397,184570052,192956351,192956361,184570057,259985914,258742774,126155424,256929444,84402945,70845586,70845587,268632824,269336938,258742776,164147944,174966402,259367670,139530665,135952283,122024759,122024758 Dl.O(d2) = 135952285,122024761,107650264,93247393,259731943,107650265,122024763,135952287,122024769,107650269,93247396,79131851,79131850 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16239029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9832931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13652001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13317557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 562021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9823869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11413130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4362581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14118990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13751677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8606097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10232437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9748429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6692004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9430019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8401399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8688293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14199288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218596, s2 = 8248577, int(edited[s2]) = 0 s1 = 11218596, s2 = 8248577, d1 = 7, d2 = 11 Dl.O(d1) = 30526273,33542778,26656406,19842539,14215507,9772714,9772713,14215502,19842529,26656390,34647612,43920703,42558953,34647600,34647599,43920688,51135041,58051441,58051440,58051418,46676643,256296361,21086972,15146854,10446406,10446407,15146856,21086977,28294044,36790699,46676698,58051468,70769788,84328693,73388222,60641740,60641741,257587962,54663226,66919950,63299583,60463223,60463225,60463565,73209920,60463267,60463266,73207568,60460533,58051449,46676674,39096714,30500728,30500729,39096716,49025672,49025671,49025670,60429257,73176135,254811018,100769790,114822051,128722241,142081502,154720427,152921101,140230719,126882783,270280488,71545531,58817244,47430911,255375750,28363519,28363517,21513354,21513355,28775119,30363728,38949929,32563356,24911558,24307886,24307887,255597387,12699391,8627763,8627764,12699395,255597389,24307885,24307884,31824905,40521881,50558288,62050630,74848803,88484515,102491218,116593105,130435304,143762050,156286890,164130108,152243339,139511960,126137062,112277773,98296173,98296174,112277774,270800949,70830063,58115074,46745551,36864546,28366437,21150079,15196141,15196142,21150081,21152542,23859671,23859669,22007893,22007892,17468252,17468253,23801082,31287682,36865080,28367094,21150616,21150615,28367091,36865076,36866649,46746693,46746388,46746218,36865660,255555558,268677112,31164723,39846712,39847395,31212373,28368978,28368977,36864082,255811987,21152945,16950237,11862984,11862985,16947710,16947709,17469045,16947347,11861081,11861080,16947344,23220177,30643155,23222380,21150606,15196459,10481695,10481696,12226656,17356058,23675918,21151990,15197882,10482453,10482455,15197887,16949205,16949204,23222265,28370713,28370712,23677065,17356934,12227196,12227197,17356940,23677071,31165323,37976623,30643406,30643405,31163659,36867576,44554667,39240438,256471041,28368006,28368005,36865812,30660024,28369943,21153037,15198036,15198035,21153036,28369941,31287749,39963076,32966468,25244621,25244620,28368108,21352845,15376475,10625424,10625422,7012975,254731377,15376473,21352840,28582530,22722855,16517709,11511343,7657610,4845239,2919848,2919849,4845257,7657651,11511412,11511259,11511257,16517584,16519320,254485168,254296034,3722933,3722935,5953156,254202478,6763921,6763920,4238991,2534505,2534508,4239001,6763970,10289467,14956070,14956666,10289985,6764358,4239253,4239252,6764356,6764343,4239247,4239250,6764351,10289979,10288486,10288482,254849600,6763426,10288490,254999072,10288588,14954829,20855962,25172537,18613876,18613870,18612952,13230303,9021424,5891185,5891187,9021434,13230334,18595674,14046859,14046856,19604007,24721534,18248289,13108737,13108740,11698777,11698778,12945349,18248265,18225948,18225949,18595601,13214736,13214733,9010987,5882729,3672788 Dl.O(d2) = 1282848,1282844,1282905,1282902,1283737,1283734,2211451,2985557,1733316,985388,985390,1733323,2985585,4946778,7800791,11696002,15750028,21813514,29115123,32517596,37637155,254109024,21813448,21813449,254425088,24462713,255211002,40780608,47580647,58972747,62496764,50896904,255604606,32919224,25205272,254622294,41847684,50896909,40780613,40780614,50896911,256053434,63996001,52166606,52166604,53216004,42766154,33736044,33736045,42766157,53216009,65201888,72809282,60071955,60071956,60071952,60071951,72809279,86404484,100360789,100360791,86404487,72809281,60071953,48675830,38754339,30171578,30171579,38754340,48675832,60071960,72809286,72809314,72809292,72809288,60071962,48675833,268648445,30171580,22783030,16567362,11548613,11548614,7683196,7683197,11548619,254548777,2951701,1711805,1711806,2232932,1710520,1710523,2949482,4894212,4906035,4895480,2950281,2892067,1678529,954933,954934,955193,1679103,2893217,2930335,4798354,2892253,2892254,4798359,7586245,11412819,7584376,4797203,2891617,1678316,954854,954855,1678323,2891642,2933966,2933967,4868975,7610286,7610625,4866479,2932455,2932454,4806271,2896681,2896679,4806264,2898843,1681961,956525,956528,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681880,1681878,2898703,2896553,2896552,2898472,1681754,1681753,2898466,267893711,7590767,7589048,254784699,12128293,16448288,11460422,11460423,16448290,22636393,30006490,34012308,43070109,53549147,65574052,65574050,65574049,78909142,93019231,107427869,113003753,113003743,99014972,258725200,85089358,99014961,259350280,85473452,85473451,99414293,99014991,99014990,113003757,126856576,140203885,129790599,115892288,115892287,115892332,101847367,87874706,74272657,61495731,50017692,39999488,39999487,50017689,61495726,74272651,87874694,101847354,115892311,129790607,260119541,87874679,87874678,101847338,101847369,115892305,115892303,115892304,129790622,143120281,143120280,155671488,167303275,167303304,165883923,154117492,143120316,143120317,155671526,167303274,157048026,144649591,141446608,141446609,154117496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218596, s2 = 8248577, dlinesl.size( ) = 12 s1 = 9834051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3896495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4746290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110922, s2 = 1601644, int(edited[s2]) = 0 s1 = 14110922, s2 = 1601644, d1 = 99, d2 = 99 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10235484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3924467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9828213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7909794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7909794, s2 = 14068889, int(edited[s2]) = 0 s1 = 7909794, s2 = 14068889, d1 = 7, d2 = 8 Dl.O(d1) = 257628652,37497999,256886971,42104822,42104660,42104659,33159109,29701292,25418096,18826415,255461130,9171189,9171188,13413425,18826455,17591854,17591852,23934873,31425661,33029173,33159151,38193992,29627024,22275351,16132801,16132800,18387934,18387935,19271891,25934326,33150824,25410415,23087715,23087714,25410020,18819335,13407226,13407227,18819344,23934762,27262764,20328411,18727948,18727943,20327823,25410174,18819172,13407125,9166309,9166310,13407133,13775592,19272125,25934607,33158973,25417965,18826497,13413450,12417335,8392800,5416140,3329523,3329524,5416147,8392818,12417372,17591869,23934900,254292426,28398422,254899844,36895922,268307744,23934776,255288230,25935823,19273305,19273306,25935825,254665688,39440461,255220134,17133309,23407572,30836568,255694960,42771933,42709228,33679176,25873021,19214402,19214404,13775470,13775469,19271962,19273100,19273101,25935629,33742716,32531809,32531808,32589398,31558800,31558801,38179085,29612303,22261736,22261735,22261649,16121616,11198976,7430895,7430896,11198981,16121627,22261662,29612210,29628126,23142829,23142830,21170256,21170258,25936039,24754785,24754784,32373497,41192206,51382853,54606738,46764039,39511667,39511666,269530195,47080667,47080668,46764082,46764081,46337116,46337117,40403285,31711140,24203439,24203440,256549001,32373608,37101375,28594035,255828552,7017308,4412540,4412542,7017310,10630909,7031882,4423703,254333288,10649770,255827026,2646342,1529476,254225147,4413077,7018025,10631864,15384676,15093210,10409702,10409701,10602889,10602888,15348705,21319309,28542679,26018673,19343475,13834013,254870082,6222773,5757991,5757992,8836208,12980648,18288230,24765691,24273517,17893778,12674824,12674826,8946466,8946469 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7909794, s2 = 14068889, dlinesl.size( ) = 8 s1 = 15284174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6856336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16356137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16356137, s2 = 15486330, int(edited[s2]) = 0 s1 = 16356137, s2 = 15486330, d1 = 7, d2 = 1 Dl.O(d1) = 73512261 Dl.O(d2) = 28129684,20951822,15042997,15042998,20951823,28129686,36603543,38317182,38317181,41726795,52041849,268398342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16356137, s2 = 15486330, dlinesl.size( ) = 2 s1 = 16356137, s2 = 15486330, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16356137, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 4098128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4098128, s2 = 10161895, int(edited[s2]) = 0 s1 = 4098128, s2 = 10161895, d1 = 6, d2 = 12 Dl.O(d1) = 153048420 Dl.O(d2) = 260089468,257618076,30904533,255153462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4098128, s2 = 10161895, dlinesl.size( ) = 14 s1 = 8596876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4782643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13672247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9345185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8640547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6970451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6970451, s2 = 7240469, int(edited[s2]) = 0 s1 = 6970451, s2 = 7240469, d1 = 39, d2 = 41 Dl.O(d1) = 260751829 Dl.O(d2) = 264437855 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9378462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4665340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3064853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8362874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 173118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8558038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3803347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7128180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16197739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16197739, s2 = 10999666, int(edited[s2]) = 0 s1 = 16197739, s2 = 10999666, d1 = 53, d2 = 40 Dl.O(d1) = 61407047,74186768,87790900,101763782,115809902,129708601,143039432,155589472,167221201,261445806,141710235,128362876,114486827,100462130,86503962,72907318,269351254,48775867,60170339,72907319,86503963,100462131,114486829,128362877,141710236,154359430,166105828,175196985,164411616,152551932,139837975,139837974,152551931,162724553,150626545,137630093,123951208,109813609,95610190,81576360,68086361,55688093,44780012,255880500,27232442,20303313,14570508,254760576,22018150,17273577,12152762,12152763,17273550,17273480,12152849,12152850,17273674,23585961,254263678,27232017,21296115,17288531,17288532,16459257,11468214,7628272,4826338,4826339,7628276,8201053,7548272,4773784,2877375,2877377,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609713,7305280,7554243,11370960,12200477,12200478,16340972,11375439,11375440,8344198,8344200,12350355,17514015,23857196,31351066,39824771,31351068,31351067,40031466,50051634,50051631,50051632,48342316,48342315,38438864,29880500,29880501,38438866,29880506,22524621,22524620,29880505,38438868,29880503,22524619,16351599,11378567,267908044,11005708,255876791,37865734,269332623,268715328,61452253,55273780,44426903,44426904,55273781,67614296,81081435,81081440,81081441,81081438,81081439,95139385,101819809,87845646,74240521,74240520,87845645,87845648,87845649 Dl.O(d2) = 175786833,165056023,165056015,272547392,127211116,260563070,99351291,85408025,71819456,59083674,47683865,37761690,37761689,47683864,59083673,71824725,85413058,85413055,71824718,71824719,85413057,99356125,113357888,113357886,99356119,99356120,113357887,127216254,113357880,259947616,71824715,71824714,85413048,99356113,113357877,125632995,261057901,138971354,125632987,111818628,97886279,97886278,111818625,125632981,138971347,145858310,132639019,260232525,90476829,76618373,63538750,57783170,57783169,70483443,76618366,71562237,71562238,85132510,76618368,63538747,257160939,32610063,255634669,13091823,8921519,8921518,13091822,18431188,15428708,10666033,10666037,12228655,12228685,12228686,17358527,23678663,31166886,35028941,26948268,20063301,20063302,26948269,31837349,40535252,37186517,28665435,28665436,31166804,24533259,22173466,16049086,11143783,11143786,16048744,11143568,7391410,7391409,11143562,16048733,16048767,15834925,15834927,16049214,21828499,21828500,23023187,16782141,11734097,7834246,4972942,4972941,7834240,11734088,16782133,17358501,12922205,8790581,8790582,11143794,16049071,11143774,11143775,7391554,7391552,11143835,16049158,16049180,16782117,20987255,20987254,16049047,16049046,16782097,20987280,25159294,32866191,39017777,30428643,29514624,22173067,16048800,11143599,11143600,11143551,11143552,16048718,16048778,11143587,11143586,16048771,22173032,29514590,29514972,24594090,18147870,18147871,16049056,11143766,9974486,9974487,11143610,11143609,16048820,18218623,12922195,11143806,7391543,4669764,2813469,1632271,1632272,2813473,4669772,7391566,11143859,16049192,16049191,22173598,24594094,29515191,22173679,16750616,16750615,22988912,16758908,11711948,7813773,7813775,11711952,16758916,16745142,13095058,13095059,13261600,9048848,9048847,13261596,18650443,18650438,18650439,25216376,31925115,30403148,254882644,24392125,24392123,31925098,32229457,24632743,24632745,32229460,41020908,38983114,30395653,30395654,32180910,32180911,30392268,22988930,16752287,16752288,22990805,30394316,38981777,32926998,25211395,25211397,32927002,38979436,38979438,38983111,30395649,22992050,22992048,30392260,22988924,16750622,16750621,22988919,18147860,18147858,24594076,32180875,40764039,40764037,50879824,51561859,51561860,256313878,60438745,53709026,53709027,49034885,39105308,39105309,49034888,49034950,60438775,52148404,41830179,32905254,32905252,39105323,39105321,49034908,60438749,63972540,52148389,52148388,63972546,60438768,60438769,53709040,53709039,51022593,40885547,32112258,32112257,40885543,43197355,43197356,53708993,63972534,76492137,84773068,79121523,65765761,59506505,50921756,50921755,53709008,53709007,63972527,63972526,59382016,47992163,39105334,30508592,30508593,39105338,49034923,39105368,30508611,23093541,16838473,16838472,23093535,30508600,39105352,47917602,256949162,72241246,77091332,63972507,52148350,52148349,63972504,77091330,269916702,107641508,258138660,73185469,60438777,50930663,41830145,41830147,38334507,34111217,26247263,26247264,26247251,26247252,34111204,257259187,256949169,255909973,22401405,29763803,38334513,48244910,47917615,38001774,29438760,22105591,22105590,29438757,38001769,47917606,48118857,53709002,48058417,43197341,43197340,49034876,53709011,53709020,53709018,53709034,43197401,34111241,34111240,34111188,33204775,25457572,18858289,18858290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16197739, s2 = 10999666, dlinesl.size( ) = 2 s1 = 16197739, s2 = 10999666, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16197739, Dl.E( ) = 56, 2.5e-05 seconds used appending s1 = 9698827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16098137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13778961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13778961, s2 = 8565021, int(edited[s2]) = 0 s1 = 13778961, s2 = 8565021, d1 = 15, d2 = 8 Dl.O(d1) = 109358776,109358777,260986101,150324603,162460267,173500470,183302915,173500420,262314438,150324540,162460214,150324565,150324566,162460237,173500441,183302944,183302921,173500424,173500425,162460244,150324575,137282643,137282644,260084700,99747233,99747232,113761566,260084698,272246486,150324567,162460239,261804116,165428046,162460216,150324542,137282616,123550373,109358727,109358728,260084694,261258712,262314432,263218292,162460265,162460267,173500470,183302981,191873051,191873004,183302940,173500437,262826894,123550385,109358749,109358750,260986089,150324547,262079787,150324569,150324572,137282639,137282640,123550393,260986093,150324579 Dl.O(d2) = 173500438,262787610,263430467,264682029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13778961, s2 = 8565021, dlinesl.size( ) = 2 s1 = 13778961, s2 = 8565021, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13778961, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 4237245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8387597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8387597, s2 = 14019002, int(edited[s2]) = 0 s1 = 8387597, s2 = 14019002, d1 = 6, d2 = 17 Dl.O(d1) = 19083291,25710470,29327611,21997549,256374091,34315041,34315042,37896319,257496737,67819810,55477977,44628240,35244551,27147137,20237576,14521883,14521884,20237581,27147147,35244568,44628257,55477990,47818178,37896136,35087110,27002244,20112269,14423574,9921964,9921963,14423573,20112266,27002238,35087100,44462469,55307552,67646546,81112901,81171785 Dl.O(d2) = 87652130,74048954,61269159,49790235,256452700,17296362,12174959,12003184,11999035,11251292,7468732,5173004,5173006,8028315,5117455,5117456,5173000,3400915,3400913,5513931,5233585,3194195,3194192,5145233,5134459,3121682,1824534,1824536,3121686,5118140,3108952,3108953,5118142,8028961,11980634,11996913,8049424,5139891,3126177,3126178,5139897,5129502,5129501,3130801,1830239,1830240,3130791,5145792,8054957,5161787,3144856,2710524,1570283,1570280,1046536,588930,588928,1046532,1833806,268228496,181701,99731,99730,181700,329847,591516,267769939,1828934,3128587,5142977,5228046,5228047,5154992,3138776,3138777,5154995,5158248,3141763,3141762,5146980,5138398,5138397,3143453,3143454,3122300,1824925,1822151,1040187,585746,330438,181986,181985,330434,592685,592984,592985,330603,330604,593004,1034006,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,946403,267790909,1814382,1036066,1036065,1814379,3105141,3130632,5130652,3118860,1822803,1822802,3118858,3127684,3127686,5141835,4762156,2870581,2870582,267892507,3122604,3122603,5135530,7529166,4762360,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3098582,1810428,1810427,3098578,5104306,8015919,11971661,12127256,11972446,8017051,5105536,3142586,1837974,1837975,3142590,5159194,8065518,8157671,11990326,255527704,8040440,8034587,5124234,5124233,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333694,598920,1065547,1867958,3191567,254255361,1033334,1033333,1809190,3096392,5101171,7405725,7405724,8017730,5106303,5106302,8017728,254817508,5119475,254822659,4755293,2865984,1663393,946390,946389,1663386,1042133,1042134,1825659,3123384,5136592,5140980,5140978,3134968,1835879,1835878,3139492,5119005,3152979,3152978,3190284,3143465,3143466,4678286,3138635,3138637,3099479,3099480,5105533,3135500,2867908,2867909,4758226,5177488,5114407,3106193,3106194,5114411,7384113,7384112,8049278,11984550,11982525,8031421,8031422,7526317,4759768,2869023,2869025,4759773,5123929,3150525,3150521,4759913,254534781,5125344,5146980,5138398,5138397,3143453,3143454,3122300,1824925,1822151,1040187,585746,330438,181986,181985,330434,592685,592984,592985,330603,330604,593004,1034006,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1866764,3189885,3189953,1866984,1064982,598573,598575,1064989,1867002,3190206,5228412,5126400,5126401,5162548,3145559,1839973,1839975,3145566,3132386,1831195,1831193,1045088,1045086,1831219,1052165,591701,329941,329940,591697,1052154,1843849,1846004,1866466,3138287,3103918,1843376,1843377,3135600,254568647,3116219,1821121,1039655,1039656,1821125,3107223,5115799,8026685,5125400,3114486,1831633,1045328,588344,588346,254178061,3133011,5148402,5148395,3132979,3132977,3137415,5153517,5114761,3106442,3106441,5114759,3132846,1831517,1045258,588315,588316,1045260,1831519,3132848,3137400,3137399,5153503,5123876,3113272,3113275,3151219,1843662,1843661,3132882,254178665,1052038,1843669,3151224,5169162,8031468,8061116,8061117,11976999,11976998,11997579,254824675,5153636,3137518,3137519,4760030,4760031,7526623,8025225,5114320,5114319,8025224,11977990,17067622,16286882,11329311,7526119,267976961,8044645,8044644,11977705,8066055,5159766,5159767,254377490,5075066,7975111,5173034,5173035,8078104,7526901,7526903,11329881,16287253,22146936,16285964,11327731,11327732,7996413,5090354,3089099,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5229520,8158755,12018215,12018214,12018375,8077630,8077631,10772039,10772041,15571643,15571644,16995366,16995365,15665631,10844605,10844604,15665628,21707447,21710629,17092167,15668945,15668946,15665750,10844720,7169136,7169137,10844723,11979759,8027756,8027755,11979756,17007951,13637010,9338103,9338105,12125674,10770712,7116453,7116454,7116463,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,1053151,1053145,592176,592174,500356,500355,886764,1559706,1559935,2692621,4481475,254130202,15573393,254161298,17082947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8387597, s2 = 14019002, dlinesl.size( ) = 14 s1 = 13509197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8528093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8338107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8338107, s2 = 4250548, int(edited[s2]) = 0 s1 = 8338107, s2 = 4250548, d1 = 4, d2 = 10 Dl.O(d1) = 13136753,9441255,9441260,13261222,13261219,18649926,20205709,27106034,27106033,20841871,20841870,28006384,36465090,267805996,20841875,268012176,6753835,6753832,257996581,83876874,259865595,125459222,138787999,151489414,163373064,174225696,163373055 Dl.O(d2) = 183895370,174225705,163373067,151489417,151489416,163373066,163373072,262609619,163373055,151489406,151489405,163373052,174225694,183895368,192370078,199666617,264440085,199666620,192370081,183895377,174225707,174225708,264440087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8338107, s2 = 4250548, dlinesl.size( ) = 2 s1 = 8338107, s2 = 4250548, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8338107, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8528703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9495273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6991578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8640954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13977493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9040304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9040304, s2 = 11212925, int(edited[s2]) = 0 s1 = 9040304, s2 = 11212925, d1 = 38, d2 = 0 Dl.O(d1) = 219123980,264662468,206788222,200799257,263399230,262533116,165238355,165238354 Dl.O(d2) = 71986668,257251100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9040304, s2 = 11212925, dlinesl.size( ) = 40 s1 = 16197040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8729025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4126493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14222652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7844029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6762421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4137482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4137482, s2 = 8761288, int(edited[s2]) = 0 s1 = 4137482, s2 = 8761288, d1 = 12, d2 = 7 Dl.O(d1) = 154619736,166337479,261982296 Dl.O(d2) = 263726153,204040776,265297753,265643909,229179334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4137482, s2 = 8761288, dlinesl.size( ) = 2 s1 = 4137482, s2 = 8761288, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4137482, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 8660264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8660264, s2 = 8628976, int(edited[s2]) = 0 s1 = 8660264, s2 = 8628976, d1 = 23, d2 = 20 Dl.O(d1) = 263208501,262921680,166598713,177171385,186518303,194664460,186518294,186518271,177171351,166598676,154898802,154898801,166598675,177171350,186518274,194664445,264049096,154898806,154898805,154898786,154898787,166598660,154898827,154898826,262461356,154898781,166598652,177171317,186518258,186518281,177171359,177171360,263947619,207513290,201641453,263711106,177171355,177171356,177171384,177171385,186518303,194664460,194664443,194664434,186518295,186518296,194664462,201641444,194664433,194664432,194664435,194664448,194664449,186518292,186518265,177171326,166598656,166598655,166598684,166598686,262461360,142264831,142264819,142264818,154898784,166598657,177171328,166598721,166598722,177171392 Dl.O(d2) = 166598707,177171375,186518296,194664462,201641444,194664433,194664432,194664435,194664448,194664449,186518292,186518265,177171326,166598656,166598655,166598684,166598686,262461360,142264831,142264819,142264820,154898787,166598660,154898827,154898826,262461356,142264816,128913297,261245655,260260996,100957168,115011373,128913300,142264820,154898787,166598660,154898827,154898826,262461356,142264816,142264814,154898780,166598651,273372669,186518278,177171357,166598681,166598680,166598673,154898800,261425196,115011378,115011392,261245657,154898841,166598720,166598671,261961550,128913303,115011377,259644342,86972900,100957168,115011374,128913302,260309247,78318628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8660264, s2 = 8628976, dlinesl.size( ) = 2 s1 = 8660264, s2 = 8628976, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8660264, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 14116392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116392, s2 = 11416616, int(edited[s2]) = 0 s1 = 14116392, s2 = 11416616, d1 = 27, d2 = 11 Dl.O(d1) = 87143946,73524895,259466997,115219343,261257123,155170058,166862147,177408691,186723726,194836373,201778953,207623362,207623355,263954850,177408682,177408681,186723716,186723715,177408674,262313080,262313077,177408672,186723713,194836359,201778944,207623349,212442015,216382907,219650975,216382909,212442016,264799673,212442011,207623342,201778939,263605050,177408671,177408672,186723713,194836359,201778943,264547587,212442023,207623354,201778947,264267143,212442026,264963491,211397003,206390067,263859157 Dl.O(d2) = 21428811,259307473,271772489,139910838,152618695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116392, s2 = 11416616, dlinesl.size( ) = 8 s1 = 6822086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3740611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111668, s2 = 11172572, int(edited[s2]) = 0 s1 = 14111668, s2 = 11172572, d1 = 58, d2 = 35 Dl.O(d1) = 18885373,13458157,9203337,6025429,3769437,2258450,2258453,3768816,3768815,3769325,6024868,5273202,5273203,8202215,12170228 Dl.O(d2) = 86388981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111668, s2 = 11172572, dlinesl.size( ) = 14 s1 = 8279338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9824467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6892300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11326642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15948019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7729724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729724, s2 = 7107060, int(edited[s2]) = 0 s1 = 7729724, s2 = 7107060, d1 = 40, d2 = 36 Dl.O(d1) = 273897208 Dl.O(d2) = 262669362 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8711818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13553219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2978176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14126302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126302, s2 = 14599018, int(edited[s2]) = 0 s1 = 14126302, s2 = 14599018, d1 = 7, d2 = 1 Dl.O(d1) = 23205759,23205760,255435206,5770522,3594554,3594555,5770529,8853777,13004766,17301329,17301331,18320731,18320732,24809260,32443837,39776464,39776465,41283287,44621342,47145756,47145757,47148356,47148355,38633936,30060189,30060190,38633938,48548201,38633880,38633879,47708003,37786974,37786973,47708001,59106134,71844752,72680009,59940607,48548223,48548224,59940609,70891395,81279518,67812259,55470625,44621338,35238707,35238706,44621336,268091506,58534069,58534070,71265835,73295655,256428012,39226229,39226230,46466403,57823155,54871866,54871865,67191296,70336018,257995688,256620076,61721797,67191212,55201167,254907248,26894383,26894384,254907250,55201172,67191211,67191210,80665905,67191237,54871792,54871791,269068394,72686489,60790551,49389916,49389917,58227356,70944594,59386653,47997659,38085479,29520915,22178408,22178407,29520913,256914034,42902849,42902848,39380508,39380509,49308267,42902858,42902857,53368662,50243059,40222905,31536625,24034028,17682816,12505463,12505462,17682815,24034026,31536614,40222887,50243028,53502131,53502138,53502137,65527621,78863589,92975658,85779810,72185516,59447364,48055702,48055701,59447359,72185512,258379070,101153992,258115782,59306416,258113631,85629632,85629671,72041854,59306448,59306449,257437590,46967235,46967237,258047181,72041863,59342662,57847398,57847397,68050746,55654046,44746128,35320397,27197022,27197023,35320398,39226736,35320423,27197045,27197046,29475022,22138319,22138320,255449222,7378333,4661299,4661298,7378331,11124008,16021465,22138331,29475049,38037863,47951250,59342565,55654251,44746302,35320556,256319104,28576645,28576644,37080705,38037891,29475073,22138349,255887861,256925721,48127472,256397849,11222637,7446343,7446342,11222636,16153547,22298906,22298922,29650958,38217256,29650881,22298858,22298857,29650880,38217254,48127418,59514811,72249029,85840778,99793502,112278947,112278946,126138208,262152363,174952397,184558495,192946710,200142154,264455955,215348163,265163863,213259231,264326013,196218350,188335646,179284963,168998946 Dl.O(d2) = 179284961,182736649,172835611,161675898,149382587,136129130,122161386,107750605,93322143,79190901,65828755,256485812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126302, s2 = 14599018, dlinesl.size( ) = 2 s1 = 14126302, s2 = 14599018, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14126302, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8322516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8322516, s2 = 9077595, int(edited[s2]) = 0 s1 = 8322516, s2 = 9077595, d1 = 8, d2 = 8 Dl.O(d1) = 269886163,88368370,260152789,259082426,46390333,57621415,47054009,37163234,28646850,21404975,21404976,22415048,29780289,32444506,24809854,24809853,18804481,13395938,13395939,18804483,25390858,33127336,258998216,671398,405730,379259,228923,126110,68448,64353,64352,68786,126828,230322,254111619,1266398,2183906,3652073,5851214,8108978,8108977,12060343,254596004,15267474,15267473,10572368,8384076,5410379,5410380,254854169,6056725,6056724,9248033,267836318,28804086,28804085,37342153,29372741,29372740,32469421,28792356,21527606,15514935,15514936,21527613,28792372,37329458,47239202,40794911,32037267,24474236,24474237,32037271,26230095,19514439,257851601,257761310,63830684,258375561,90814007,271522271,133021897,146256022,261411176,146256023,146256024,158630615,169993358,180163407,189108103,263326232,189108095,180163396,180163397,189108097,273781737,202119668,202119669,264566422,209469159,207918103,202119672,195220815,195220810,187150199,177879095,262478966,143199072,129869890,129869891,143199074,155751240,167384034,177879099,187150203,195220813,202119669,264566422,209469159,207918103,202119672,195220815,187150207,273162591,155751241,167384037,177879097,273386447,167384039,167384040,263244249,262938204,155751242,262344765,177879096,187150201,187150196,177879093,263244243,195220808,264342926,195220816,189853920,180974637,170854406,170854407,264061795,209469159,207918103,202119672,195220815,187150207,187150205,177879106,167384042,261980928,143199080,155751245,262344767,263244247,263244245,273746439,202119663,273790742,262478970,115972395,259667910,87955186,101928002,260722351,261837293,260879104,115972391,272988578,177879091,187150194,195220804,263701340,196854609,189108104,262909944,203483212,273781738,169993356,158630612,272362001,261411179,133021896,133021897,146256022,261411176,146256023,146256024,158630615,261947904,170854406,170854407,264061795,209469159,207918103,202119672,195220815,195220810,187150199,177879095,262478966,143199072,129869890,129869891,143199074,155751240,167384034,177879099,187150203,195220813,202119669,264566422,209469159,207918103,202119672,195220815,187150207,187150205,177879106,167384042,261980928,129869895,115972394,101928003,101928002,260722351,261837293,262816149,263629247,273890175,202119670,195220814,195220811,187150199,177879095,262478966,155751238,167384029,263244243,195220808,264061796,263629247,273890175,202119670,195220817,187150213,177879108,262478968,143199081,133943839,120101990,260879103,261837293,260879104,101928001,259041040,257798266,40075502,256134896,12385193,8369434,5401501,3321027,1953449,254271215,5401480,6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409238,8382084,12271968,8369747,8369746,12386031,17556647,12396339,8377538,5406540,5406541,8366184,7964111,7964112,11906985,15847095,21934722,18957080,18957079,25561495,18949210,16660795,11627830,7745621,4904992,4904991,7745618,11627827,16660790,22889927,17545544,17545545,17549792,22322629,17395275,17395274,12391511,12391510,17562529,23906328,23721761,23721759,31208182,23832647,20131301,20131302,27023079,35109175,44486264,44488986,39284177,30687141,23270438,17007417,11920784,7975074,5075038,3077600,3077598,5075034,7975065,11918980,11918977,17005590,14440072,9933226,6528356,6528354,9933219,14440063,20133436,27025643,35052163,26970805,255974142,255141572,31523436,40209149,44426542,35051961,26970633,20084850,14400503,14400504,20084852,256217411,30687088,30687087,30690704,23275921,20084923,20084925,20134013,20084868,20084866,26970664,35051997,44426570,44487092,44487091,35112727,35112728,27026362,20134043,14440496,14440495,20134038,26970606,23967104,17616938,17616939,23967107,31463019,31463004,31463003,35051922,44426499,35111904,27025555,20133342,20133343,27025558,35111909,44488914,35124102,35124103,44501912,48540691,44490011,35113116,27026666,27026665,35113112,40355410,35113132,27026678,27026654,20134254,20134253,27026649,35113028,35113199,35113200,35112719,28391229,27026398,27026397,27026387,20134063,14440512,9933562,6528624,6528623,9933559,14440502,17616941,12434951,8404125,8404124,12434949,17616934,23967098,24520369,24520370,32095362,35112830,44489852,50171734,48660414,38739051,256163834,20133502,20133503,27025716,35112082,27037073,255331773,9941002,6533735,4093880,4093879,6533729,9940988,14449739,14440588,14440589,20134200,18041721,12789102,12789101,9940986,9940985,14449731,20144185,27026503,35109835,27023639,20131700,20131699,268549707,20134085,20134083,27025572,27026501,20134141,14440549,9933581,9933582,14440551,20131828,14438800,14438799,20131826,27023777,31055225,23571893,17260712,12140501,12140502,9932194,9932195,14438707,15539931,15539929,21560936,28831476,37371069,47280329,55333041,55334486,55334487,51502272,44488426,35111232,35111231,44487020,35109892,27023697,255330711,9932208,9932207,14438728,20131673,27023602,27023618,20131686,14438692,14438691,14438581,14438580,255746521,20132324,20133277,14439937,14439938,20133279,16964542,11876457,7939432,5049324,3059243,1783376,1783375,3059236,5049315,7939424,11876451,14440025,9933187,6528326,4090489,254215051,1414943,2447216,4090487,6528324,9933182,14440020,20133366,27025385,20133196,14439848,9933044,6528214,4090398,2447156,2447157,4090401,4090424,6528240,9932853,6528040,4090255,2447058,2447060,4090261,6528048,6528272,6528273,9933113,14439932,14438837,14438836,9933166,6528311,4090479,254472069,9933164,11876452,16964538,14439919,14439920,20133263,27025457,255746725,20133958,255746721,255746665,14439748,9932924,254977081,267871715,4090444,6528265,9933104,14439914,14439634,9932858,9932857,255330799,27025068,270137622,20132931,14439630,9932856,9932855,14439626,14438766,9932235,9932233,255746533,255746686,14440426,9933511,6528567,6528225,6528226,6527880,4090114,4090115,4090570,4089773,2446687,1414615,1414616,2446690,4089778,6527405,9931971,14438357,14439483,9932737,6527953,6527954,6528104,6528105,9932946,9932628,6527876,4090112,2446953,1414776,1414775,2446949,254472073,9933210,14440052,20133419,27025622,258506317,256202164,14213880,19840589,26654124,20015567,254466500,11231364,7452772,254773257,255198310,4884647,2943314,2943315,4884649,7717566,11593811,16621282,22844516,25077651,18534542,18534544,19460552,21794110,15739973,10900975,7209457,7209458,7209463,10900983,15739984,21799862,29097280,31688818,254871456,254805916,33168931,33168930,42125289,52480115,52480116,46649205,36764003,36764002,254867396,32775075,25077763,25077762,31598966,24095283,24095282,31598964,29525455,22183044,21799829,21799827,29097240,34321239,43421177,269325669,99142317,101800914,87826904,273383873,264811871,219786201,222526686,266447519 Dl.O(d2) = 269886163,88368370,260152789,259082426,46390333,57621415,47054009,37163234,28646850,21404975,21404976,22415048,29780289,32444506,24809854,24809853,18804481,13395938,13395939,18804483,25390858,33127336,258998216,671398,405730,379259,228923,126110,68448,64353,64352,68786,126828,230322,254111619,1266398,2183906,3652073,5851214,8108978,8108977,12060343,254596004,15267474,15267473,10572368,8384076,5410379,5410380,254854169,6056725,6056724,9248033,267836318,28804086,28804085,37342153,29372741,29372740,32469421,28792356,21527606,15514935,15514936,21527613,28792372,37329458,47239202,40794911,32037267,24474236,24474237,32037271,26230095,19514439,257851601,257761310,63830684,258375561,90814007,271522271,133021897,146256022,261411176,146256023,146256024,158630615,169993358,180163407,189108103,263326232,189108095,180163396,180163397,189108097,273781737,202119668,202119669,264566422,209469159,207918103,202119672,195220815,195220810,187150199,177879095,262478966,143199072,129869890,129869891,143199074,155751240,167384034,177879099,187150203,195220813,202119669,264566422,209469159,207918103,202119672,195220815,187150207,273162591,155751241,167384037,177879097,273386447,167384039,167384040,263244249,262938204,155751242,262344765,177879096,187150201,187150196,177879093,263244243,195220808,264342926,195220816,189853920,180974637,170854406,170854407,264061795,209469159,207918103,202119672,195220815,187150207,187150205,177879106,167384042,261980928,143199080,155751245,262344767,263244247,263244245,273746439,202119663,273790742,262478970,115972395,259667910,87955186,101928002,260722351,261837293,260879104,115972391,272988578,177879091,187150194,195220804,263701340,196854609,189108104,262909944,203483212,273781738,169993356,158630612,272362001,261411179,133021896,133021897,146256022,261411176,146256023,146256024,158630615,261947904,170854406,170854407,264061795,209469159,207918103,202119672,195220815,195220810,187150199,177879095,262478966,143199072,129869890,129869891,143199074,155751240,167384034,177879099,187150203,195220813,202119669,264566422,209469159,207918103,202119672,195220815,187150207,187150205,177879106,167384042,261980928,129869895,115972394,101928003,101928002,260722351,261837293,262816149,263629247,273890175,202119670,195220814,195220811,187150199,177879095,262478966,155751238,167384029,263244243,195220808,264061796,263629247,273890175,202119670,195220817,187150213,177879108,262478968,143199081,133943839,120101990,260879103,261837293,260879104,101928001,259041040,257798266,40075502,256134896,12385193,8369434,5401501,3321027,1953449,254271215,5401480,6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409238,8382084,12271968,8369747,8369746,12386031,17556647,12396339,8377538,5406540,5406541,8366184,7964111,7964112,11906985,15847095,21934722,18957080,18957079,25561495,18949210,16660795,11627830,7745621,4904992,4904991,7745618,11627827,16660790,22889927,17545544,17545545,17549792,22322629,17395275,17395274,12391511,12391510,17562529,23906328,23721761,23721759,31208182,23832647,20131301,20131302,27023079,35109175,44486264,44488986,39284177,30687141,23270438,17007417,11920784,7975074,5075038,3077600,3077598,5075034,7975065,11918980,11918977,17005590,14440072,9933226,6528356,6528354,9933219,14440063,20133436,27025643,35052163,26970805,255974142,255141572,31523436,40209149,44426542,35051961,26970633,20084850,14400503,14400504,20084852,256217411,30687088,30687087,30690704,23275921,20084923,20084925,20134013,20084868,20084866,26970664,35051997,44426570,44487092,44487091,35112727,35112728,27026362,20134043,14440496,14440495,20134038,26970606,23967104,17616938,17616939,23967107,31463019,31463004,31463003,35051922,44426499,35111904,27025555,20133342,20133343,27025558,35111909,44488914,35124102,35124103,44501912,48540691,44490011,35113116,27026666,27026665,35113112,40355410,35113132,27026678,27026654,20134254,20134253,27026649,35113028,35113199,35113200,35112719,28391229,27026398,27026397,27026387,20134063,14440512,9933562,6528624,6528623,9933559,14440502,17616941,12434951,8404125,8404124,12434949,17616934,23967098,24520369,24520370,32095362,35112830,44489852,50171734,48660414,38739051,256163834,20133502,20133503,27025716,35112082,27037073,255331773,9941002,6533735,4093880,4093879,6533729,9940988,14449739,14440588,14440589,20134200,18041721,12789102,12789101,9940986,9940985,14449731,20144185,27026503,35109835,27023639,20131700,20131699,268549707,20134085,20134083,27025572,27026501,20134141,14440549,9933581,9933582,14440551,20131828,14438800,14438799,20131826,27023777,31055225,23571893,17260712,12140501,12140502,9932194,9932195,14438707,15539931,15539929,21560936,28831476,37371069,47280329,55333041,55334486,55334487,51502272,44488426,35111232,35111231,44487020,35109892,27023697,255330711,9932208,9932207,14438728,20131673,27023602,27023618,20131686,14438692,14438691,14438581,14438580,255746521,20132324,20133277,14439937,14439938,20133279,16964542,11876457,7939432,5049324,3059243,1783376,1783375,3059236,5049315,7939424,11876451,14440025,9933187,6528326,4090489,254215051,1414943,2447216,4090487,6528324,9933182,14440020,20133366,27025385,20133196,14439848,9933044,6528214,4090398,2447156,2447157,4090401,4090424,6528240,9932853,6528040,4090255,2447058,2447060,4090261,6528048,6528272,6528273,9933113,14439932,14438837,14438836,9933166,6528311,4090479,254472069,9933164,11876452,16964538,14439919,14439920,20133263,27025457,255746725,20133958,255746721,255746665,14439748,9932924,254977081,267871715,4090444,6528265,9933104,14439914,14439634,9932858,9932857,255330799,27025068,270137622,20132931,14439630,9932856,9932855,14439626,14438766,9932235,9932233,255746533,255746686,14440426,9933511,6528567,6528225,6528226,6527880,4090114,4090115,4090570,4089773,2446687,1414615,1414616,2446690,4089778,6527405,9931971,14438357,14439483,9932737,6527953,6527954,6528104,6528105,9932946,9932628,6527876,4090112,2446953,1414776,1414775,2446949,254472073,9933210,14440052,20133419,27025622,258506317,256202164,14213880,19840589,26654124,20015567,254466500,11231364,7452772,254773257,255198310,4884647,2943314,2943315,4884649,7717566,11593811,16621282,22844516,25077651,18534542,18534544,19460552,21794110,15739973,10900975,7209457,7209458,7209463,10900983,15739984,21799862,29097280,31688818,254871456,254805916,33168931,33168930,42125289,52480115,52480116,46649205,36764003,36764002,254867396,32775075,25077763,25077762,31598966,24095283,24095282,31598964,29525455,22183044,21799829,21799827,29097240,34321239,43421177,269325669,99142317,101800914,87826904,273383873,264811871,219786201,222526686,266447519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8322516, s2 = 9077595, dlinesl.size( ) = 2 s1 = 8322516, s2 = 9077595, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8322516, Dl.E( ) = 10, 1.1e-05 seconds used appending s1 = 14120706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13663881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13727739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8474647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11204968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204968, s2 = 8494537, int(edited[s2]) = 0 s1 = 11204968, s2 = 8494537, d1 = 14, d2 = 22 Dl.O(d1) = 108904401,104463706,90316031,270221400,94762997,94762996,109039404,96021495,270171951,56000239,45029440,45029441,45029207,35549478,27383921,20420097,20420096,14654417,10079656,10079655,14654409,20420154,19955663,14289470,14289468,9830800,6457983,4047858,2423344,2423341,4047888,6443245,6443242,9802778,14263564,19913317,26757384,34784732,34784729,43479019,34353501,34353498,34520258,26551530,19760090,19760092,26551446,26551183,26551186,34519468,43763803,54474915,66631865,66631863,66316231,66316232,79716045,89275807,79422639,66047234,66047237,76466165,63421451,51676633,41432711,41432709,51676624,54421664,51685340,41438146,32573884,32573882,30937505,30937506,30989780,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449351,6449347,9815089,14285299,19947733,26807745,34860622,256433074,256965601,22623723,22623722,255731852,35231438,27136877,27136876,35231436,29593372,22244649,255786598,38159727,37439345,28898991,21623817,21623816,27183768,254830270,14536968,15463484,11013203,7290595,7290593,10788782,10788781,15595702,17195601,17195600,19010672,19010671,19220137,19220135,14536979,14536978,20261043,16183422,16183424,16654296,255248814,20352459,14608824,14608826,13320890,10954796,7250563,4572160,2750405,2750408,4572172,7250590,10954848,11517165,7661223,4847163,4847162,7661221,11517161,16525300,17583255,17583253,254296596,29628929,27283751,21629271,21629270,20343976,254999722,35405299,32634867,32634868,41520835,41935468,41856318,41856319,41935467,39104552,39104551,49034061,40010846,40010847,50029421,54157693,54157692,54157694,43553172,34395360,26484780,19727180,19727181,256193331,43553176,54157698,66303953,65951377,53884533,43360340,34260424,255768230,255768232,79315509,80749052,257942452,259193108,272073649,257950764,268810607,255723853,4016790,2407002,1392741,791992,791995,792002,792005,1392856,2407216,4017157,6402759,9736551,14162077,19735566,18129358,254888807,8741683,12855121,18129363,24570381,257130373 Dl.O(d2) = 66374832,54211519,268802493,268802495,271304738,24570600,18129507,12855214,8741743,5690920,5690921,8741746,12855192,18129480,12855211,255219173,24570596,258952883,260194825,131437055,272482190,270980200,91298598,77379971,64230230,52375748,42033015,33086082,25353685,18771639,18771641,25352110,18771329,18771330,13367531,13367535,18771416,25353256,33085253,39620603,30973788,30973789,39620607,49601832,49601893,61050083,64561889,64561891,77744664,79536227,79536228,80784125,67314459,257347434,259480339,115464240,101417087,87441261,73828562,258512061,67011337,259140987,108789107,260977965,123050692,259769795,80445708,67011336,54743456,256730497,34708305,257892833,80445707,259191888,94798227,94798226,109070453,257344800,256246576,66151635,75498505,89251841,80040819,80040820,94124633,93671345,93671344,79653882,66263685,66263684,79653881,80242057,259129465,94301511,80242060,257881125,54559867,66813601,259129467,79694613,269590447,256714485,268325739,19726740,26484055,34394089,43550710,54153524,66297800,79694078,80985626,67515666,55172646,256773086,256799488,255354626,34892882,44252528,55087760,49564092,49564091,61000560,66298296,54153914,43550977,43550978,269590445,61000558,73769402,256799490,115428870,258610084,109104379,94835792,80768047,256256872,54971641,67298072,80768056,257971088,123124839,108884548,94609496,80550361,80550362,94609500,108884557,117470032,103338154,103338153,92039417,78092173,78092171,92039414,94837264,80769641,67299650,255776506,34816232,254701830,19925818,26775905,34816235,44154426,268886102,258603430,137073250,149721722,271199866,93839657,260368371,262556739,262594780,199027643,191795333,183206411,173382759,262112350,272493860,137099539,126663633,112806242,98815159,98815161,112806243,108611105,94324035,259758769,122842935,108567150,94269449,80205902,80205903,67138088,54835549,45016000,45016001,45016134,35541017,35541019,41579262,32682789,32682791,41579223,41579222,51870812,54907797,44099498,44099497,256257590,73692675,257365426,64230184,64230185,77379928,260095273,258855501,258855503,101459298,115501176,258602824,129364410,129364411,136680595,149833770,162054586,162265452,150097899,137021814,123255486,109032301,94753827,94753825,109032297,260980375,260812480,131983181,118166696,118166695,129379118,115487237,108776756,94486005,257780152,255657858,50200769,50200770,50461036,40423680,40423678,50461034,257882506,65220399,53231787,51395482,51395481,63087462,73413846,72041397,72041396,76085937,256594356,51394539,63086002,255724928,51394724,51053653,46362599,36504431,28041062,20873093,14970976,10303173,6775178,4246770,4246772,4259307,6782550,10311627,9406894,6163135,6163038,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2228648,1292498,737661,737665,1292513,2228670,2536379,2536380,4242136,6765026,10290872,6801160,4265085,2549967,2549968,4265088,6801161,4289291,2564512,2564513,2540964,1463945,828439,828441,1463949,2540974,4250396,6780762,6804694,6804692,10324977,6793911,4259766,4259765,6793908,9081962,8972187,8972168,5857034,3656086,3656085,5857031,6801175,6810807,6810810,4271759,3716521,2225490,1290892,1290443,736607,736605,736675,1290549,2224950,2225132,1290656,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718683,4249682,6762196,6762199,10287076,6792845,6792840,6831510,6831513,9097071,6822419,4285931,2630540,1518923,1518925,2630547,4390470,4249018,2540244,1463593,1463590,2540234,4248991,5930023,3707876,2220512,2220514,3707890,5930049,6367428,9681057,6367462,3995432,3995433,6367471,4279363,4279364,4242299,3467195,2055911,2055913,3467202,4281109,5956151,4233870,4233869,6756451,6811536,6811537,4459852,4459851,7083743,9097280,10280645,6756787,5584843,3464950,2054773,1178865,1178863,2054764,3395249,3395251,3327507,3327511,4703140,2833333,1643739,934657,526730,295130,295128,526712,934606,1643638,2833138,4702806,7442983,254179644,1709019,971492,547164,306428,306427,547174,971512,1709056,2946801,4889967,7725458,10483163,6911527,4340696,4340699,4340704,3029473,267774436,7888715,11810087,11811913,16882379,17909076,12687717,8618496,8618495,12687715,17909075,17375642,12243597,12243598,8622986,8622987,12693302,16251711,11298743,7501430,7501429,7637925,7637926,11483266,10483392,10483393,10483400,6911678,6911676,8268825,5335390,3279656,1929102,1929103,3279660,5335398,8268837,12243653,17375696,23697899,31187706,32546474,24897425,24897424,21628375,21628374,24511472,18081981,18081982,24511473,32085377,24836627,18342510,18342509,255690783,33657854,42688345,53139222,65124362,74685595,61891958,61891957,54665334,54665333,66921882,61452385,61452386,54665336,43922790,34649568,256725621,54665332,66921880,80348103,94402486,105747847,105747848,105399729,105399728,119635702,133507366,141406124,140207122,126860058,113007669,113007668,126860056,114028523,114028524,127909029,127909034,141269724,146763052,133507380,126860039,113328170,113328171,127187186,113328218,99325284,99325285,113328220,127187225,140533488,129540372,115653875,101612610,87645557,74042367,61262600,49783718,49783719,61262602,74042298,74042297,87645449,87645539,87645538,101612587,101612677,115653800,115653765,115653767,115653811,101612555,101612554,101612571,101612513,87645485,74042318,61262575,61262574,74042315,87645480,101612505,98256082,98256083,95267902,95267903,84348712,70789958,58072711,46700726,46700724,58072707,70789950,84348704,88480797,81340965,67874147,67874148,81340980,95081829,81022590,81022589,67552874,55209130,55209129,67552872,81022610,81211959,74249051,61470843,61470844,61470847,49993405,49993406,49993412,49993411,61470854,74249058,61470864,61470778,49993337,39977214,31302422,31302421,31302418,31302419,39977208,49993324,55406557,44558830,44558831,39977263,39977262,49993423,60224877,49993372,49993370,61470818,74248990,72963859,72963860,86562957,74249002,61470781,49993340,39977216,39977217,49993343,61470784,66838466,74955428,74955427,256759474,55524903,44663684,42201998,42201997,33241000,33240999,42202002,52561890,64436968,53777832,43262046,43262045,53777829,65837947,65837942,53777826,43262043,43262044,53777827,65837944,79199988,84942205,71365590,71365589,84942199,258324810,91663437,98869029,98869030,100247643,86283815,72685039,59946207,48553986,48553985,59946204,71521865,71521863,85094015,85691771,72105760,72105759,85691768,268975334,98306271,94392809,80338174,80338173,94392805,100247638,87132440,73513725,73513726,87132442,91663460,77735377,64552951,64552950,64553023,52653487,42267597,33287557,25527220,25527221,33287560,42267603,52653500,52653520,64553080,258412445,52653513,52653512,64552922,52653387,42267507,33287494,25527184,25527182,33287492,42267501,42267514,42267559,33287531,25527205,18917649,18917648,25527203,33287509,255668723,13486444,9227065,9227066,13486446,18917641,25527196,33287514,42267530,257009696,33287477,25527173,18917628,13486438,9227062,9227061,7151044,4503291,4503292,7151047,10820479,15636340,21674242,28954974,37497579,47405019,47405278,256345237,28955205,256886959,58792610,58792465,47405121,47405122,47402484,47402486,58790143,58792608,58792607,47405289,269009271,31808162,24293211,17911150,12689433,12689434,17911152,24293216,31808153,24303914,17920280,12696851,8625890,8625891,12696853,16877831,15973455,15973453,15199369,15199368,21154797,28371809,22077194,22077193,16883680,11813240,7891491,5012333,3030904,3030903,5012332,7891488,11088087,7353387,5008881,3028642,3028643,5008883,5011312,3030163,3030165,3029026,1762465,1004103,1004104,1762466,1762947,254104124,922144,254075176,1004543,1004578,254084874,2764250,1602305,911035,513927,288364,288365,513929,911039,1602311,267789653,1621733,2764362,1602376,911081,513962,513961,911078,1602370,2764354,4595014,4642432,4642431,7349923,254157842,16882623,11812191,254721836,23142712,30559732,39156948,256840690,64552945,77735367,91663444,81342578,67875787,55525148,44663880,36878018,36878017,46756708,58125052,70839711,84397154,98306279,112288514,113007682,126148430,112288510,101130554,101130555,115208420,113007699,99019430,87132451,87132452,101130580,90813576,76937680,63830346,258375535,65097362,53110575,42658726,42658727,44663974,35270268,35270269,44663976,55525236,55525066,44663984,35270277,27166204,20251599,14531971,9999370,9999371,14531975,20251604,27166211,35270286,44663973,256759475,35269065,35269080,35269079,44662575,44662568,35269016,256759473,27166212,25491136,18887130,13459535,255263643,25491139,27165049,256233419,20250528,14531054,9998651,6571196,4116431,2462179,2462178,4116428,6571192,9998644,14531043,13459526,13459527,268177819,9999303,9998573,6571157,6571159,9998578,14530955,14530968,9998586,9998587,14530971,20250427,24672308,22983490,22983491,27998272,27998271,33929275,33929276,42982916,53457279,268692416,46768806,58136508,70850810,84408427,270921234,258921386,270283927,256050190,28393408,36456691,27998276,27998275,36456685,36456686,46309524,57654196,70344736,269390300,84861972,98790382,101626248,101626246,115667012,115667011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204968, s2 = 8494537, dlinesl.size( ) = 8 s1 = 11352888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6677349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8527357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13368095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8564538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8564538, s2 = 11492386, int(edited[s2]) = 0 s1 = 8564538, s2 = 11492386, d1 = 66, d2 = 38 Dl.O(d1) = 273398810,176225520,176225503,176225504,185684955,193935603,263271802,165546547,165546550,176225528,173280686,162186611,162186573,261540854,136845021,149978958,262379734,149978987,149978988,162186604 Dl.O(d2) = 218882773 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10336221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2758557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 150197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4242757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4242757, s2 = 7159261, int(edited[s2]) = 0 s1 = 4242757, s2 = 7159261, d1 = 12, d2 = 19 Dl.O(d1) = 162620367 Dl.O(d2) = 263373787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4242757, s2 = 7159261, dlinesl.size( ) = 20 s1 = 8670505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9423871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6929293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4077081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6853055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8533232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4442277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8465688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9218871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7677316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8693038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4306556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4306556, s2 = 13654930, int(edited[s2]) = 0 s1 = 4306556, s2 = 13654930, d1 = 0, d2 = 19 Dl.O(d1) = 165840129 Dl.O(d2) = 263959829,207678273,212489358,207678265,201843430,201843431,207678263,207678262,212489356,265335620,207678273,212489358,207678265,201843430,194912122,186817341,177528987,167019763,155374327,155374328,262793533,186817348,194912130,194912134,186817350,177528992,262581182,129465297,115580184,101544103,87581609,258535872,49722277,39703473,39409850,31164629,31164628,256301205,28370913,36867699,29339428,22007967,15906908,15906907,22007963,23219490,16946756,16946755,17469203,23802176,23218653,23218652,23802507,23222558,17468502,12315600,8318788,8254855,8254856,12226393,17355639,23675444,30641895,23218718,16946110,16946109,23218716,23802034,23802035,31288410,30645480,30641107,30641106,30645769,30643952,23221139,23221140,23802032,30645771,30643599,256068028,23802201,17469221,17469222,16949656,11862586,11862585,16947260,11861021,7927026,5039230,5039229,7927024,11861018,11860985,11860984,7927324,7927175,7927174,10482593,15198168,21153240,16950066,16950069,16283929,11325164,11325165,16283931,22453174,23223708,256012113,39239130,255218352,19104543,13640250,9340537,6118218,3828002,2293409,2293408,3828001,6118215,7336502,11064767,15944923,22048010,29378517,37943890,47862661,59258774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4306556, s2 = 13654930, dlinesl.size( ) = 2 s1 = 4306556, s2 = 13654930, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4306556, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 6867690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8617905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4487375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4487375, s2 = 457582, int(edited[s2]) = 0 s1 = 4487375, s2 = 457582, d1 = 11, d2 = 20 Dl.O(d1) = 177053357 Dl.O(d2) = 11595376,7718837,4885599,2943938,1707213,970414,970412,1707208,2943931,2942991,2942990,4884080,7716557,11592153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4487375, s2 = 457582, dlinesl.size( ) = 20 s1 = 8545821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13976093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 846179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8092569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14246519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4516042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108319, s2 = 16175699, int(edited[s2]) = 0 s1 = 14108319, s2 = 16175699, d1 = 22, d2 = 14 Dl.O(d1) = 32236867,41029314,51185703,62835711,75799870,64348687,254909980,33166682,33166683,42123172,52478374,64348688,77514352,91444230,101954030,87981081,74378663,61602064,50122079,50122078,61602063,74378662,259513233,101954029,115998447,129896211,143225185,155775762,167406535,177899625,187168768,195238254,195818077,195818078,195818054,187880734,178777754,168471907,157025669,144629408,131408469,117608599,117608600,131408473,144629414,131408479,131408478,144629420,157025686,168471936,178777795,178777752,262400687,157025688,168471905,261855272,168471948,157025696,157025697,168471949,178777800,178777801,187880781,195818065,195818060,187880742,187880743,195818062,263257356,187880740,178777757,177899629,167406539,262080414,143225186,155775765,167406540,177899628,168473311 Dl.O(d2) = 11262837,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,11766870,7856071,4986189,3011685,3011686,4986192,7856082,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,10997022,10997020,11717916,8998295,5874680,3668136,2195753,1275649,729733,729738,1275661,2195772,1722013,1722011,2968211,4922115,7768620,11657197,254921010,24220983,23581843,17269678,17269677,23581842,20147053,20147055,27040018,35127056,31066023,31066021,31065856,31065857,39743877,49762503,44505238,35127608,35127609,28086602,23581735,23581736,26429375,20147462,20147463,27040484,31065709,254698150,17269616,23581752,31065703,254987804,54869674,57772719,46418889,44504979,35127335,27040246,27040245,27040250,27040251,35127338,39744043,49762616,55351244,44505030,35127686,27040541,20147508,14452606,9943188,6535117,4094645,4094644,6535113,9943183,14452598,20147496,27040452,27040453,27040596,31065824,31065825,39743837,35127347,27040262,27040263,28086599,28086598,36555669,44504756,35127109,27040059,20147416,20147415,256223245,39744072,31066053,27040360,27040361,35127467,44505112,256767518,35127658,27040526,27040527,35127660,44504999,44505000,44505034,35127390,35127391,33769003,25960108,19295150,19295149,25960106,33768998,42800740,41052246,41052245,44069321,44069319,44069641,34752967,28039858,28039859,26732649,26732647,34752419,28238154,28238156,26733095,26733096,34752874,34752873,44069549,44069382,34752713,34752714,26733012,26733013,34752947,44069621,34753009,26733056,19898206,14254231,14254232,19898211,26733068,34753041,44069718,44069086,34752459,34752457,44069082,44069948,34753281,34753282,40154479,42800743,42800745,38588726,38588725,44069938,34753273,26733259,26733257,34752665,34752664,44069072,34752452,26732673,19897969,14254095,14254093,19897962,26732660,34752433,34753075,34752887,26732961,26732960,34752881,44069553,54869765,44069291,44069292,54869894,67189420,54869776,44069183,34752772,34752773,44069447,49976183,44069504,34752838,34752820,26732920,19898251,19898116,19898117,20878159,28046048,32468333,32468335,26732928,26732926,34752825,44069490,44069422,44069421,47489851,37584883,29037349,29037350,37584885,44069377,34752709,26732848,19898078,19898076,256207833,40475448,40475449,50510634,62002040,74798391,67189734,257296703,44069852,54869890,61647016,74428862,61647005,50163027,40139647,40139648,39959551,39959550,44069472,44069473,54870029,67189562,54869976,46368150,36509877,28046112,20878192,14976323,10308859,6780213,6780214,10308861,14976326,20878197,28046130,31457590,256530849,50163009,40139630,40139631,46368319,36509998,28046184,20878225,20878226,28046186,36510000,46368323,57717881,70411990,83938167,83938067,70411830,70411832,60681654,49280804,39353981,39353982,49280810,60681659,70774834,58056844,58056843,70411821,57717648,57717647,258625319,57717573,46368058,46368056,36509810,28046073,256274637,36509816,46368065,49280744,60681592,70411920,70411909,70411910,258081426,60681601,60681602,52662644,49280840,39354000,39354001,30753515,23331019,17064279,17064277,255978473,37390802,28850791,21578870,15555477,255413099,28850798,37390856,47300034,58690645,71423583,71423533,58690561,47299909,37390764,37390765,47299913,58690567,256647688,62107247,50608050,47299889,37390748,37390749,37390776,37390777,47299926,58690538,58690539,50028145,50028144,58690664,58593512,58593511,71326756,74911416,81106200,67640097,61538273,61538274,52570689,52570688,64445772,71269773,71269774,71326765,58593525,50028189,50028188,61506323,74282925,77613737,70555534,60098710,60098711,257470504,59282707,47886244,47886243,59282704,72019678,85608225,74401496,61622848,50141040,40120088,31440801,31440800,40120086,50141035,61622843,74401491,70555320,70555321,59752231,48369683,48369685,59547372,48160460,48160461,59547375,70555408,57854020,57854019,70555404,73985850,70555487,61622838,50141031,46498068,36631241,28156933,20977654,20977653,28156928,28156953,28156954,36631272,37373069,37373068,37373090,28833313,21562493,15541141,15541139,21562489,28833305,255918104,47282531,37373079,37373078,47282527,58673761,269323426,40916079,32138541,24556891,24556892,32138545,40916087,51057489,62687623,52387997,42043920,33095876,33095874,42043918,52387995,64243865,259022707,77717308,64536129,52637381,42252136,42252137,52637383,61260496,49781638,49781639,61260497,64536142,74040373,74040069,61260230,49781355,39762231,39762232,49781362,58781043,47394053,37486375,37486376,47394057,58781047,61260518,49781669,39762476,39762477,39762298,39762101,257048215,61260074,74039991,61260636,49781800,39762563,31084349,23600346,17287693,12166640,254581851,5268327,8198093,12166646,17287710,23600376,31084404,39762638,39762588,31084366,23600356,17287698,17287696,23600350,31084355,39762575,49781792,49781793,49781253,39762159,31084035,23600171,17287580,17287579,17287585,17287587,23600178,31084056,39762190,36631153,28156876,28156875,31084166,257048245,49781554,49781553,61260347,74040142,74040208,61260406,61260405,61260398,58148096,46780587,36902787,28405396,21184302,15222655,15222654,21184299,28405388,36902766,46780553,49781779,39762550,31084331,31084332,39762552,49781526,61260391,269803660,66853927,256919674,54594942,66853929,54594943,43850469,34578654,255444944,26600528,19794354,14553424,10013958,6581652,6581653,10013963,14511694,14593925,14593922,13653028,9349149,7106984,7106981,10757083,14552019,13828897,13828892,255073448,17897908,12678208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108319, s2 = 16175699, dlinesl.size( ) = 2 s1 = 14108319, s2 = 16175699, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14108319, Dl.E( ) = 44, 2.69e-05 seconds used appending s1 = 4364256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4365408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3867474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7640268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13517409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8715804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4390211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9831499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9831499, s2 = 14310688, int(edited[s2]) = 0 s1 = 9831499, s2 = 14310688, d1 = 0, d2 = 0 Dl.O(d1) = 259985920,261162964,262227030,262227034,260586004,136186695,136186694,149437634,161729122,172886698,182784830,260586012,259367682,172886675,257509640,164536134,152695104,139997749,126642642,112784546,98792097,84863791,254235566,47168554,47168553,254235562,30076989,22696081,16493677,11491672,11491673,16493681,22696089,30077004,38653768,48569673,59961996,48926686,48926685,60325416,71643916,58922816,47541721,37636532,37636531,47541719,58922810,58922824,47541726,37636537,29086759,21789380,15731240,15731239,21789377,29086753,37636528,256387184,71643894,71643937,71643936,85209249,72118650,72118651,84504749,70940889,70940888,84504748,71289450,58557460,47168556,37262684,28730638,28730637,37262681,47168549,254235560,84863790,255077704,139997748,256929454,113134452,258742786,71656437,58934997,47553251,37648075,37648074 Dl.O(d2) = 259985920,261162964,262227030,262227034,260586004,136186695,136186694,149437634,161729122,172886698,182784830,260586012,259367682,172886675,257509640,164536134,152695104,139997749,126642642,112784546,98792097,84863791,254235566,47168554,47168553,254235562,30076989,22696081,16493677,11491672,11491673,16493681,22696089,30077004,38653768,48569673,59961996,48926686,48926685,60325416,71643916,58922816,47541721,37636532,37636531,47541719,58922810,58922824,47541726,37636537,29086759,21789380,15731240,15731239,21789377,29086753,37636528,256387184,71643894,71643937,71643936,85209249,72118650,72118651,84504749,70940889,70940888,84504748,71289450,58557460,47168556,37262684,28730638,28730637,37262681,47168549,254235560,84863790,255077704,139997748,256929454,113134452,258742786,71656437,58934997,47553251,37648075,37648074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9831499, s2 = 14310688, dlinesl.size( ) = 2 s1 = 9831499, s2 = 14310688, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9831499, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7866019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4415509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8566646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7983426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4263732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3111476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7074891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7074891, s2 = 3235872, int(edited[s2]) = 0 s1 = 7074891, s2 = 3235872, d1 = 8, d2 = 0 Dl.O(d1) = 262215245 Dl.O(d2) = 101829563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7074891, s2 = 3235872, dlinesl.size( ) = 2 s1 = 7074891, s2 = 3235872, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7074891, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 8401309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9818547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8613719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8614037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8498409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8631100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9804561, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16372281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9834603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9834603, s2 = 8535886, int(edited[s2]) = 0 s1 = 9834603, s2 = 8535886, d1 = 6, d2 = 11 Dl.O(d1) = 177687455,177687489,177687467,167191331,155561125,155561126,155561120,143013038,143013037,143013097,143013099,262331649,143013057,129684718,129684719,143013060,143013096,155561154,262803503,177687496,263232583,177687479,167191348,261823529,129684716,129684715,129684727,115787398,115787399,261280627,262331659,177687465,177687464,177687491,177687473,167191340,155561132,261280619,129684711,143013044,143013104,129684747,115787409,101741675,87768677,74163922,61383192,61383191,74163920 Dl.O(d2) = 155561110,143013098,143013099,262331649,143013057,129684718,115787388,115787390,129684722,143013065,155561160,155561182,262331647,143013052,129684716,129684715,129684727,115787398,115787399,261280627,262331659,177687465,177687464,177687491,177687473,167191340,155561132,261280619,129684711,143013044,143013104,129684747,115787409,101741675,87768677,74163922,61383192,49902593,268676947,23713935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9834603, s2 = 8535886, dlinesl.size( ) = 2 s1 = 9834603, s2 = 8535886, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9834603, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 14129504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9830859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13770127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9424860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9809361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8008394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2290390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6926578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6929095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9842891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8627855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10252462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4533910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1997839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8689386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3748188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4390325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4390325, s2 = 13920163, int(edited[s2]) = 0 s1 = 4390325, s2 = 13920163, d1 = 27, d2 = 29 Dl.O(d1) = 171327854,181356289,263739261,190165090,263739263,204250657,209656321,214091280,214091279,217732611 Dl.O(d2) = 233298140,234391944,266475457,237121026,237876710,237876702,237876703,238565437,239197153,239777382,240312889,239777384,239197154,238565439,237876704,237121021,237121022,237121024,237121023,237876708,237876709,238565443,239197156,239777386,266983363,241696632,241696630,241270173,241270172,241270176,241696636,274897312,266982132,240312895,239944167,239379997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4390325, s2 = 13920163, dlinesl.size( ) = 2 s1 = 4390325, s2 = 13920163, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4390325, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 4395108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9829733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13538907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14045451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4559010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4559010, s2 = 7143538, int(edited[s2]) = 0 s1 = 4559010, s2 = 7143538, d1 = 12, d2 = 11 Dl.O(d1) = 182781908,185793332 Dl.O(d2) = 263162642,263162645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4559010, s2 = 7143538, dlinesl.size( ) = 2 s1 = 4559010, s2 = 7143538, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4559010, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 7748249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7748249, s2 = 11303456, int(edited[s2]) = 0 s1 = 7748249, s2 = 11303456, d1 = 4, d2 = 1 Dl.O(d1) = 274321276,181943659,190668537,182888162,262549697,149512714,149512715,161818473,172986364,182884488,263748755,190374813,182888083,262549693,161818384,172986274,182888085,182886379,172984759,161817275,149511972,136248142,261521209,161817280,171603165,160397110,148147339,148147340,160397112,161817433,161817432,172985015,182886663,263780865,198966641,191533698,182885872,182885871,191533697,182887897,273041727,161818182,172986049,182887900,263780899,205251614,263780889,182887523,172985723,263004109,263780891,205251616,210451725,274164965,218830926,215446412,211351636,264101048,193110386,273850409,215446415,218830928,265364543,221131075,218195742,214700435,210451811,205251919,263780915 Dl.O(d2) = 262188962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7748249, s2 = 11303456, dlinesl.size( ) = 2 s1 = 7748249, s2 = 11303456, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7748249, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 4561070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7190149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5071947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7193671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4589579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4589579, s2 = 5177538, int(edited[s2]) = 0 s1 = 4589579, s2 = 5177538, d1 = 1, d2 = 1 Dl.O(d1) = 184629059,193008154,200197019,206267742,211286915,215388185,264927902,221639102,219166095,215827780,274408877 Dl.O(d2) = 184629059,193008154,200197019,206267742,211286915,215388185,264927902,221639102,219166095,215827780,274408877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4589579, s2 = 5177538, dlinesl.size( ) = 2 s1 = 4589579, s2 = 5177538, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4589579, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13571499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9042388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9042388, s2 = 11250522, int(edited[s2]) = 0 s1 = 9042388, s2 = 11250522, d1 = 129, d2 = 168 Dl.O(d1) = 261539258,175855014,185357528,193647458,264490683 Dl.O(d2) = 268653174,72134020,85718591,72981292,60245647,48852665,48852664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9042388, s2 = 11250522, dlinesl.size( ) = 48 s1 = 11422058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8273946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5096688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4614023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7939240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7677447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7677447, s2 = 1303741, int(edited[s2]) = 0 s1 = 7677447, s2 = 1303741, d1 = 3, d2 = 1 Dl.O(d1) = 272209531,262710801,185576753 Dl.O(d2) = 52174545,255236744,25206965,18642997,18642998,25206968,255236746,52174549,257161730,258990040,260233428,170289557,180431502,262435382,261647458,126388989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7677447, s2 = 1303741, dlinesl.size( ) = 2 s1 = 7677447, s2 = 1303741, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7677447, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 7694989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7694989, s2 = 4755664, int(edited[s2]) = 0 s1 = 7694989, s2 = 4755664, d1 = 19, d2 = 10 Dl.O(d1) = 272859689 Dl.O(d2) = 193899502 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4485880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5196798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7152157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13177947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7114593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7558142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4775969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8683537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8622703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11757658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11757658, s2 = 8654579, int(edited[s2]) = 0 s1 = 11757658, s2 = 8654579, d1 = 21, d2 = 22 Dl.O(d1) = 205960450,211046082,215202155,218625694,265009148,222596819,219865547,216629175,212725228,207950811,207950809 Dl.O(d2) = 264569189,202159986,195272383,187217255,177964426,262388112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11757658, s2 = 8654579, dlinesl.size( ) = 14 s1 = 13692661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13969461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7124377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6976415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14569150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4816087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3952678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7081679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7081679, s2 = 9581501, int(edited[s2]) = 0 s1 = 7081679, s2 = 9581501, d1 = 29, d2 = 53 Dl.O(d1) = 262295688 Dl.O(d2) = 159071895,146708355,133461738,119597839,105367427,91149466,77233638,64089161,52241671,41904475,38473506,38473505,48375123,59757549,72491502,86088671,86088670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7081679, s2 = 9581501, dlinesl.size( ) = 2 s1 = 7081679, s2 = 9581501, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7081679, Dl.E( ) = 60, 1.91e-05 seconds used appending s1 = 8603845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8741869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14708643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8006354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7240245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13810915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8705802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8705802, s2 = 10239786, int(edited[s2]) = 0 s1 = 8705802, s2 = 10239786, d1 = 52, d2 = 51 Dl.O(d1) = 191738819,183133834,183133835,263792813,264243758,263576796,183133830,173288909,173288910,183133832 Dl.O(d2) = 152897386,260641148,126859798,140206897,152897389,164728827,152897394,152897395,272537861,99018991,85093693,71521477,268650246,28953871,21673377,15635788,10820135,7150851,4503169,254507583,10820141,15635806,21673406,254779264,38005144,29442346,23624709,23624710,31111105,39791544,39098632,33998508,29317571,29317572,30502585,39098486,33544511,33544513,30046825,22671483,16475519,16475520,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,19440249,13910787,9547122,9547124,13910796,19440265,15893227,11017788,7294081,7294080,11017785,15893222,21990361,29319048,254843314,12066662,11823725,7901655,5022786,5022788,7901679,10035041,6594869,6594870,8113812,5198142,5198140,6966427,6966430,7842763,10573285,11043346,8113656,8113652,12066310,10542270,6952568,4368595,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961647,5192301,5192299,4978297,3007282,1747078,1747079,3007286,4978308,7842553,6048413,6048412,9234998,11746478,11746477,12060672,17157175,23433066,17157391,255569137,17567617,23399102,17127045,17127046,256484889,49360482 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8593196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4753570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4754979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8547936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13776761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8678955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8913606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9750719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9829977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5296741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8619802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15134501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8737681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7698340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7157644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8798708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9457713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4556379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15080847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4960143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4960143, s2 = 5337386, int(edited[s2]) = 0 s1 = 4960143, s2 = 5337386, d1 = 33, d2 = 50 Dl.O(d1) = 205572421 Dl.O(d2) = 221305698 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8286697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8735308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8735308, s2 = 8757326, int(edited[s2]) = 0 s1 = 8735308, s2 = 8757326, d1 = 17, d2 = 14 Dl.O(d1) = 264303868,211263533,211263532,264581370,211263538,263649676,192973849,192973848,200167196,206241006,211263529,206241016,200167202,192973851,184588759,174986853,164170073,152286023,139555460,126180305,126180303,139555458,152286020,164170067,174986844,262842186,192973843,184588751,184588750,192973840,200167186,263995196,206240994,206240995,211263528,215367272,218758049,215367278,211263541,206241014,200167201,200167200,200167193,192973845,192973844,192973854,184588761,184588754,174986849,174986850,262842188,200167195,263266722,262372694,261325690,139555461,126180305,126180303,139555458,152286020,164170067,174986844,262842186,192973843,184588751,184588750,192973840,200167186,263995196,206240994,206240995,211263528,215367272,218758049,215367278,211263541,206241014,200167201,262842190,174986853,164170073,152286023,139555460,126180305,126180303,139555458,152286020,164170067,174986844,262842186,192973843,184588751,184588750,192973840,200167186,263995196,206240994,206240995,211263528,215367272,218758049,215367278,264581366,264830098,273896358,264303864,263649678,184588761,174986855,164170076,152286026,139555461,126180305,126180303 Dl.O(d2) = 206240994,263266716,184588747,272277634,139555459,139555458,152286020,164170067,174986844,262842186,192973843,184588751,184588750,192973840,200167186,263995196,206240994,206240995,211263528,215367272,218758049,215367278,211263541,206241014,200167201,200167200,200167193,192973845,184588753,261867158,164170071,174986847,184588743,262842184,262842186,192973843,184588751,184588750,192973840,200167186,263995196,206240994,206240995,211263528,215367272,218758049,215367278,211263541,206241014,200167201,200167200,200167193,192973845,192973844,192973854,184588761,174986855,164170076,152286026,139555461,126180305,258918698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8735308, s2 = 8757326, dlinesl.size( ) = 12 s1 = 11489940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489940, s2 = 14184117, int(edited[s2]) = 0 s1 = 11489940, s2 = 14184117, d1 = 5, d2 = 3 Dl.O(d1) = 164196900,164196901,175012113,184612277,192995290,200186452,206258392 Dl.O(d2) = 902702,509134,509136,902705,1587925,2740260,4557536,4551363,254512695,2740509,1588105,902799,902795,1588089,2740487,4557829,7221359,4552189,4552188,7224440,10922709,267969157,254751409,15775937,21846345,29155077,37715722,47638116,59040008,71781791,85371077,99315862,113319478,127179056,140525859,261360080,260790478,98374621,84465533,70909263,58196588,46830616,257129032,28452334,28452333,36952573,46830615,58163017,58157217,46789822,36912202,28414550,21192817,15229510,10505586,6927468,6927469,10505588,15229515,15245123,15245125,21212565,24621358,18170373,18170372,24621354,31332526,23840783,23840782,21205868,21205869,22677756,28429525,28426031,25126579,18573990,13198971,8997642,5874282,5874283,8997647,13198981,18574008,24757832,18282108,18282110,24757836,28419968,28429355,28439780,28439779,32831582,28414547,21192814,18282113,12975988,12975987,15229503,15229504,21192805,28414532,36912174,256565250,255603070,40116439,31437526,31437527,40116442,50137013,51386623,52183445,41858102,41858101,52183443,51386622,51386621,51993614,41682387,32766364,32766363,41682385,51993613,63809095,61619877,61619878,74398505,88003898,89866655,78610536,75569191,255619138,40871766,32100079,24524839,18093451,12828152,8722126,5677494,5677495,8722129,12828158,18093462,24524856,32100100,40871787,269375346,269460591,59967001,48575144,48575143,59966999,72704224,86301275,72704222,72704221,257852826,59967195,57701746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489940, s2 = 14184117, dlinesl.size( ) = 2 s1 = 11489940, s2 = 14184117, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11489940, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 14995577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14995577, s2 = 10254000, int(edited[s2]) = 0 s1 = 14995577, s2 = 10254000, d1 = 19, d2 = 17 Dl.O(d1) = 113346052,261689155,263517715 Dl.O(d2) = 263877805,185267580,185267581,193566122,185267577,175755284,165023038,153204147,153204148,153204161,140521421,127174685,113315086,270828901,85366636,260559827,140521414,153204151,165023044,175755293,175755276,165023031,153204158,140521419,140521420,153204155,262203521,165023052,175755298,263519975,193566124,193566125,263519973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14995577, s2 = 10254000, dlinesl.size( ) = 14 s1 = 13553077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13720523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10221342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3911287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13774947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8420629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8702924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8656798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8701822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16195313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6621477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10241153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9823371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15634907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7585099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7013584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8735931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9842933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7090005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13842225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9811295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4677833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7180028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8660625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4938676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5157116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8796278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7131250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9759559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10261252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9759783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4981008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8536501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8792322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8769624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14134408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6957944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5003965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5043589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5006442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9835375, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5008702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15197101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8756502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13490425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 87341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8769289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6991871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8896776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4936224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4936224, s2 = 3888091, int(edited[s2]) = 0 s1 = 4936224, s2 = 3888091, d1 = 20, d2 = 14 Dl.O(d1) = 203978226,209422719,264873527,216750514,212862755,208108641,208108642,212862756,216750517,219972413 Dl.O(d2) = 262840512,152849811,140155667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4936224, s2 = 3888091, dlinesl.size( ) = 2 s1 = 4936224, s2 = 3888091, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 4936224, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8815850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9281215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6533162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8741625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9843913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9781911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8801356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15006569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15006569, s2 = 14165869, int(edited[s2]) = 0 s1 = 15006569, s2 = 14165869, d1 = 19, d2 = 13 Dl.O(d1) = 274183365,263096092,262169126,261098140,112574829,261651091,164395019,175183595,263855143,206336015,206346266,264466639 Dl.O(d2) = 193745322,185477968,176004499,272854439,85639769,72052348,59317614,59317613,72052347,72052357,59317648,59317644,47924649,38009784,29447537,29447538,38009785,47924648,47924642,47924641,47924639,38009774,29447531,29447530,38009772,47924636,59317638,67555379,64420132,64420131,72052368,85639794,99589875,99649092,113662886,114967886,127534499,113662900,113662901,111830194,111830193,112518396,112518397,105447254,91224807,91224805,97897601,84028223,84028222,97897599,111830191,117347253,117347255,126441049,112572216,112572217,111830196,111830195,125644934,138983073,127534496,127534495,117347249,117347248,128870234,114967884,114967885,111830197,111830198,259643195,77304955,64156626,64156625,77304954,91224808,89129661,75384610,75384611,70493749,57793107,57793106,70493747,77304957,70493751,57793108,52003037,52003038,41964669,41964668,52305124,64156627,57793103,57793102,70493743,259878039,87656228,77304962,77304963,77304970,74052919,258672600,31095665,31095664,39774091,257631887,49793958,61273034,74052907,87656232,101623131,101623130,115663564,101623134,87656224,74052894,74052893,87656223,93204756,93204755,88245118,259309480,46437892,36573083,28101678,20925809,20925810,28101679,31095652,23611859,17298991,17298992,255998261,39774073,44461148,37658942,37658941,35085910,27001120,20111177,14422408,14422409,20111179,27001125,35085923,44461154,55306157,67645089,64380823,52507284,42149620,33190711,25445434,18848378,13429083,13429084,18847509,18847511,25444516,29461671,29236045,21918343,15834464,15834465,19098303,25730296,33508867,33190144,33190145,31493944,23996430,17652685,17652686,12483003,8453524,5460829,3357360,1973711,1126763,1126762,1973709,3357355,5460819,8453509,12482966,17653563,17653565,13740580,9414087,6168044,3859413,3859414,6168045,9414088,13740582,254473334,16831149,14461046,9949122,9949125,14461058,20157878,27050946,254979090,16831712,23084525,17989776,12750778,254317320,24389540,31922370,40638139,44533884,35157645,35157644,257316731,258536609,55487573,257177528,30902148,255540461,12085741,8127388,5206896,5206895,8127387,12085739,17187885,23468007,30902147,268510832,42741049,33711447,33711446,42708394,53157867,268918267,37134487,33164651,33164650,28665224,21419270,21419269,25589177,18980199,13543806,9271955,9271953,13543804,18980194,15435769,15435768,21428625,28676998,28677006,37199761,40722291,31975349,27000343,27000342,35085153,44460384,51181899,48935156,39011645,30422092,23016716,16776482,11729545,7830834,7830835,11729548,16776488,23016728,30422112,39011658,48759318,48759321,42573951,37186126,28665051,21419136,15428553,15428554,21419142,28665061,36834257,33268200,33268199,38839881,42474504,33481121,33481122,37556075,37130428,28618678,28618676,37130425,47017900,42474409,42474408,47095563,58459501,66914309,258374766,26649965,19836363,14210471,9769098,6423073,4029532,2414650,1397727,1397726,2414649,254211804,9769095,14210468,19642811,23469736,255717272,34253509,26376276,19642810,14078878,14078877,19642809,21622955,15592448,10786596,7126910,7126912,7950608,11890827,16977725,17004558,17004559,17005679,16956068,11868252,11868254,11910438,7966922,5068847,3072549,1791988,1791990,3062865,1785402,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,7977355,7992560,7977404,267988093,16977654,16974617,255525039,17003895,11916838,255140833,23267821,30684766,36804770,28307809,21098010,15154772,10451521,6889701,6889702,6889697,6889696,10451513,15154754,21097979,28307761,36804705,46688811,46688809,46688810,58061958,60692649,49291185,39363937,257025739,258836565,86936097,73325990,73325989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15006569, s2 = 14165869, dlinesl.size( ) = 14 s1 = 6898630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8802801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7219367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420860, s2 = 9243957, int(edited[s2]) = 0 s1 = 11420860, s2 = 9243957, d1 = 1, d2 = 1 Dl.O(d1) = 7622971,7622972,254318188,7642674,11490919,8564386,5560979,3445419,2040031,2040033,3445422,5560984,255588385,31696320,26631623,19820476,254324522,9759862,9759904,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,16916314,11838881,7911995,7911994,11838870,11547650,7682671,4861132,2929322,1699164,966104,544355,305007,168827,168828,305009,544362,966121,1699204,254363707,7683179,11548595,16567346,22782914,16567261,11548539,11548540,267895534,19662397,14093997,14093998,16653740,16653741,22882486,28314092,21103761,15159071,10454405,6891345,6891346,6891383,10454395,15159250,12557631,8513939,5512532,5512531,8513936,12557626,254548436,31608703,40291740,47631453,37709176,29148887,21840801,21840800,29148885,268607144,5396781,3318549,3318550,2691365,2691364,4479451,2945096,1707962,1707966,1559114,1559111,2691332,4479389,5396736,5396738,8361141,12373294,10901707,10901709,14225060,12362772,12362773,17528815,23873093,268680829,50067599,55745369,44837596,254911456,254837774,14608723,20352346,27287399,35412352,35346057,35346058,36512592,30247740,22853263,22853264,28892623,28892622,22725885,16520681,16520680,22725882,254439598,31872739,24348705,24348704,18891170,16521883,11514483,7659529,4846242,2920303,1693988,1693987,2920299,4846232,7659509,11514457,16521848,17900623,17900622,24281160,31794887,255111074,74813404,88445663,102447265,116543897,258167380,156235925,271351918,178268869,187481684,195498934,202355260,208119396,212872246,216758801,219979732,222698215,264521840,222588680,219857254,216620200,212714799,264289215,202141751,195246032,187179361,187179360,177914127,177914126,177914129,167424795,155795773,143244179,129912763,116013036,101966480,87992018,74388388,61611036,50130376,40109940,31430291,23939058,17595156,17595157,23939062,17597236,17595501,12419840,12419839,17595497,23939524,23942384,17597815,12421333,268113419,23938945,31430196,38794051,39265386,47366724,46893269,37013935,28514622,26979812,20091190,20091189,26979808,35063175,44437304,50130305,61610964,74388320,87991950,101966415,101933183,258887581,61581570,50101693,40081062,31400190,23907672,17563933,17563934,12394107,8375936,5405605,3323295 Dl.O(d2) = 7622971,7622972,254318188,7642674,11490919,8564386,5560979,3445419,2040031,2040033,3445422,5560984,255588385,31696320,26631623,19820476,254324522,9759862,9759904,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,16916314,11838881,7911995,7911994,11838870,11547650,7682671,4861132,2929322,1699164,966104,544355,305007,168827,168828,305009,544362,966121,1699204,254363707,7683179,11548595,16567346,22782914,16567261,11548539,11548540,267895534,19662397,14093997,14093998,16653740,16653741,22882486,28314092,21103761,15159071,10454405,6891345,6891346,6891383,10454395,15159250,12557631,8513939,5512532,5512531,8513936,12557626,254548436,31608703,40291740,47631453,37709176,29148887,21840801,21840800,29148885,268607144,5396781,3318549,3318550,2691365,2691364,4479451,2945096,1707962,1707966,1559114,1559111,2691332,4479389,5396736,5396738,8361141,12373294,10901707,10901709,14225060,12362772,12362773,17528815,23873093,268680829,50067599,55745369,44837596,254911456,254837774,14608723,20352346,27287399,35412352,35346057,35346058,36512592,30247740,22853263,22853264,28892623,28892622,22725885,16520681,16520680,22725882,254439598,31872739,24348705,24348704,18891170,16521883,11514483,7659529,4846242,2920303,1693988,1693987,2920299,4846232,7659509,11514457,16521848,17900623,17900622,24281160,31794887,255111074,74813404,88445663,102447265,116543897,258167380,156235925,271351918,178268869,187481684,195498934,202355260,208119396,212872246,216758801,219979732,222698215,264521840,222588680,219857254,216620200,212714799,264289215,202141751,195246032,187179361,187179360,177914127,177914126,177914129,167424795,155795773,143244179,129912763,116013036,101966480,87992018,74388388,61611036,50130376,40109940,31430291,23939058,17595156,17595157,23939062,17597236,17595501,12419840,12419839,17595497,23939524,23942384,17597815,12421333,268113419,23938945,31430196,38794051,39265386,47366724,46893269,37013935,28514622,26979812,20091190,20091189,26979808,35063175,44437304,50130305,61610964,74388320,87991950,101966415,101933183,258887581,61581570,50101693,40081062,31400190,23907672,17563933,17563934,12394107,8375936,5405605,3323295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420860, s2 = 9243957, dlinesl.size( ) = 2 s1 = 11420860, s2 = 9243957, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11420860, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 5227555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8774224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8690304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6730807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7172201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7172201, s2 = 14255211, int(edited[s2]) = 0 s1 = 7172201, s2 = 14255211, d1 = 10, d2 = 22 Dl.O(d1) = 263551817,201048858,207000144,211915328,211915327,274044630,264648191,217783716,220816201,223398264,225630785,227572547,225630799,223398280,223398281,225630803,227572573,229271284,227572566,225630798,274234414 Dl.O(d2) = 265939959,266181573,274712679,266174624,232111837,266120172,229994399,228391763,274395384,222062228,222062231,222062232,224472798,265642614,220816195,217783713,214151160,209727081,209727080,214151157,265096554,214151161,274240039,222062223,222062222,265566067,225630778,223398257,220816195,217783713,214151160,209727081,204332451,197865932,263351230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7172201, s2 = 14255211, dlinesl.size( ) = 2 s1 = 7172201, s2 = 14255211, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7172201, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 5159606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8849558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16212251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10268804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14178510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5177119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7194376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16267861, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15019055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5290392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9841031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9049112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7733439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9325664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8793006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8793006, s2 = 11967865, int(edited[s2]) = 0 s1 = 8793006, s2 = 11967865, d1 = 8, d2 = 8 Dl.O(d1) = 220265072,220265073,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,217120463,220265077,217120471,217120472,217120484,217120485,220265088,220265089,265027858,220265091,220265090,222929422,222929410,264548886,213338105,208717965,203093448,196377910,188523506,188523508,196377907,196377908,203093447,208717982,213338123,217120463,220265077,220265082,265027858,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,213338109,213338110,217120465,217120474,213338116,208717975,273738588,217120470,265027860,225225350,265233608,222929408,222929414,220265087,217120481,213338124,213338123,213338109,208717970,208717971,213338112,213338108,263606764,203093444,263956444,208717981,203093445,196377906,188523504,188523505,196377908,203093447,208717974,203093439,196377903,188523501,179505317,179505316,262788624,188523500,179505317,179505318,188523503,196377904,203093443,208717977,213338119,217120477,220265085,222929420,222929415,220265079,217120474,213338116,208717975,273738588,217120469,220265071,217120467,213338114,208717973,203093437,203093436,208717971,213338112,217120462,264800810,273883074,263606766,196377906,196377905,203093444,263956444,208717981,208717980,264268630,220265090,222929422,222929410,264548886,213338105,208717964,263219320,196377899,203093433,208717967,213338107,217120461,273883076,208717983,203093451,196377910,188523506,188523508,196377907,196377908,203093447,208717974,203093439,196377903,188523501,179505317,179505318,188523503,273911555,263606762,196377901,188523501,179505317,179505318,188523503,196377904,203093443,208717978,213338107,217120460,220265073,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,217120463,220265077,217120471,217120472,217120484,213338125,208717983,203093451,196377910,188523506,179505320,169252766,157823241,145422098,262788626,260685066 Dl.O(d2) = 220265072,220265073,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,217120463,220265077,217120471,217120472,217120484,217120485,220265088,220265089,265027858,220265091,220265090,222929422,222929410,264548886,213338105,208717965,203093448,196377910,188523506,188523508,196377907,196377908,203093447,208717982,213338123,217120463,220265077,220265082,265027858,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,213338109,213338110,217120465,217120474,213338116,208717975,273738588,217120470,265027860,225225350,265233608,222929408,222929414,220265087,217120481,213338124,213338123,213338109,208717970,208717971,213338112,213338108,263606764,203093444,263956444,208717981,203093445,196377906,188523504,188523505,196377908,203093447,208717974,203093439,196377903,188523501,179505317,179505316,262788624,188523500,179505317,179505318,188523503,196377904,203093443,208717977,213338119,217120477,220265085,222929420,222929415,220265079,217120474,213338116,208717975,273738588,217120469,220265071,217120467,213338114,208717973,203093437,203093436,208717971,213338112,217120462,264800810,273883074,263606766,196377906,196377905,203093444,263956444,208717981,208717980,264268630,220265090,222929422,222929410,264548886,213338105,208717964,263219320,196377899,203093433,208717967,213338107,217120461,273883076,208717983,203093451,196377910,188523506,188523508,196377907,196377908,203093447,208717974,203093439,196377903,188523501,179505317,179505318,188523503,273911555,263606762,196377901,188523501,179505317,179505318,188523503,196377904,203093443,208717978,213338107,217120460,220265073,220265091,220265090,222929422,222929410,264548886,217120455,220265068,222929408,222929414,220265087,217120481,213338124,213338123,217120463,220265077,217120471,217120472,217120484,213338125,208717983,203093451,196377910,188523506,179505320,169252766,157823241,145422098,262788626,260685066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8793006, s2 = 11967865, dlinesl.size( ) = 2 s1 = 8793006, s2 = 11967865, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8793006, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 13761311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9840887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5236161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7784704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8795610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8782074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8799752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8693452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8845467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7202192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7202192, s2 = 7273819, int(edited[s2]) = 0 s1 = 7202192, s2 = 7273819, d1 = 7, d2 = 7 Dl.O(d1) = 263939437,274218854,218397791,218397792,220063439,274218853,208286138,208286139,264837836,214935423 Dl.O(d2) = 263939437,274218854,218397791,218397792,220063439,274218853,208286138,208286139,264837836,214935423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7202192, s2 = 7273819, dlinesl.size( ) = 2 s1 = 7202192, s2 = 7273819, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7202192, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14141194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141194, s2 = 9494595, int(edited[s2]) = 0 s1 = 14141194, s2 = 9494595, d1 = 1, d2 = 1 Dl.O(d1) = 6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,2443256,2443260,4083546,6517258,9122785,9917545,9917546,10619158,10619159,15368832,14422640,9996041,6569544,4115432,4115431,4083676,4083675,3900731,3900730,6230343,9498928,12825220,8719623,6519909,4085150,4085151,6519913,6994831,4395910,4395911,6994835,6998361,4398095,4398096,6998362,6518269,4084132,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,4024729,2411860,1395896,794009,449750,449752,794016,1395915,2411892,4024797,6415305,9756726,8994759,5872528,5872530,8994767,7282341,4592532,2763025,1601715,910748,513791,513792,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496171,3592387,5626822,4092009,4092011,6516305,4082980,3876965,3876966,6194216,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,9387192,10600190,6993548,6993549,6993653,6993651,10600327,15346156,21317190,25940675,254345706,14422113,254757386,268030964,21318068,15347134,14421750,14421751,20110611,27000649,21965584,255066184,28574309,21345798,15370739,15370740,20111116,25330803,25330804,21344158,15369354,15369353,14420844,9919368,6519223,6519222,9919366,13350154,9122420,6993798,6993799,5613377,5613380,4085659,2444368,2444369,4085629,2444355,2444356,2444178,2444179,4085048,6518524,9916387,6516884,4083295,4083294,6516880,5652264,5652263,8685697,12777647,18027505,16684440,16684439,14418785,14418786,14541700,14541701,10603153,6995869,4396544,4396543,5647844,8679816,12770016,13352798,9124852,9124851,9935439,9935438,14442914,14442915,14418414,254743526,267818237,2461536,4115250,6569230,9995608,14526993,20244865,27156558,35255592,44640065,55489956,67831130,259173151,260412477,123792704,137514698,150543471,162662216,173683257,183468760,192022649,199380909,205606272,264692001,218421533,218421534,214961871,210755774,264692001,218421536,221327843,223817465,225975799,227858934,229513258,230982719,232299676,233488580,234567667,235550173,236445210,237262245,238006418,238683496,239304430,239875764,240403635,240168555,239622996,239033540,238392849,237690118,236916335,236066100,235131294,234103134,232973190,231725059,230335839,228772851,226998235,224963366,222620482,219891705,216657967,212757175,207986568,202200602,195318735,187271409,178027556,167559983,155948488,143409694,130081346,116173637,102116058,88128264,74516101,61734598,50256294,40236922,31550966,268259995,12515006,13987202,19534716,26251709,33428828,25660501,25660502,29916915,38475853,42694898,42694896,53145399,48535017,254965874,255731014,257290910,63013245,75996682,89774225,103875737,118018507,260380726,145102836,157536939,168999440 Dl.O(d2) = 6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,2443256,2443260,4083546,6517258,9122785,9917545,9917546,10619158,10619159,15368832,14422640,9996041,6569544,4115432,4115431,4083676,4083675,3900731,3900730,6230343,9498928,12825220,8719623,6519909,4085150,4085151,6519913,6994831,4395910,4395911,6994835,6998361,4398095,4398096,6998362,6518269,4084132,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,4024729,2411860,1395896,794009,449750,449752,794016,1395915,2411892,4024797,6415305,9756726,8994759,5872528,5872530,8994767,7282341,4592532,2763025,1601715,910748,513791,513792,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496171,3592387,5626822,4092009,4092011,6516305,4082980,3876965,3876966,6194216,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,9387192,10600190,6993548,6993549,6993653,6993651,10600327,15346156,21317190,25940675,254345706,14422113,254757386,268030964,21318068,15347134,14421750,14421751,20110611,27000649,21965584,255066184,28574309,21345798,15370739,15370740,20111116,25330803,25330804,21344158,15369354,15369353,14420844,9919368,6519223,6519222,9919366,13350154,9122420,6993798,6993799,5613377,5613380,4085659,2444368,2444369,4085629,2444355,2444356,2444178,2444179,4085048,6518524,9916387,6516884,4083295,4083294,6516880,5652264,5652263,8685697,12777647,18027505,16684440,16684439,14418785,14418786,14541700,14541701,10603153,6995869,4396544,4396543,5647844,8679816,12770016,13352798,9124852,9124851,9935439,9935438,14442914,14442915,14418414,254743526,267818237,2461536,4115250,6569230,9995608,14526993,20244865,27156558,35255592,44640065,55489956,67831130,259173151,260412477,123792704,137514698,150543471,162662216,173683257,183468760,192022649,199380909,205606272,264692001,218421533,218421534,214961871,210755774,264692001,218421536,221327843,223817465,225975799,227858934,229513258,230982719,232299676,233488580,234567667,235550173,236445210,237262245,238006418,238683496,239304430,239875764,240403635,240168555,239622996,239033540,238392849,237690118,236916335,236066100,235131294,234103134,232973190,231725059,230335839,228772851,226998235,224963366,222620482,219891705,216657967,212757175,207986568,202200602,195318735,187271409,178027556,167559983,155948488,143409694,130081346,116173637,102116058,88128264,74516101,61734598,50256294,40236922,31550966,268259995,12515006,13987202,19534716,26251709,33428828,25660501,25660502,29916915,38475853,42694898,42694896,53145399,48535017,254965874,255731014,257290910,63013245,75996682,89774225,103875737,118018507,260380726,145102836,157536939,168999440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141194, s2 = 9494595, dlinesl.size( ) = 2 s1 = 14141194, s2 = 9494595, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14141194, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 8832370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9770867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13850097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9827581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8808965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15545657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15545657, s2 = 10276315, int(edited[s2]) = 0 s1 = 15545657, s2 = 10276315, d1 = 65, d2 = 36 Dl.O(d1) = 43971728,34696506,26701931,19880967,254967297,9792174,267975644,14225589,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232305,19865040,20156380,20156378,26675724,19858495,14227466,9780716,9780715,6433763,6433762,9785987,6434052,4036239,2418697,1400073,1400072,2418695,4036233,6434038,9786467,14232085,19864755,26683088,26697628,25054535,25054532,18516997,13156435,13156434,13156423,8967466,8967467,13156427,8967480,5854068,267927079,6429531,4033681,4033683,6429536,9778877,14224679,19854911,14224616,14224613,16786385,19859388,14228126,14228121,19859376,26676886,255343424,25304973,21170006,15211842,15211841,21170008,256302567,46763861,58131646,60501955,261238023,264790073,265224811,222305502,224687130,226755008,265584289,222305501,219531228,219531229,222305502,224687127,224687128,226755003,228558242,230143699,231551476,266243759,234994204,235940518,236802912,235940542,234994224,266243765,231551488,231551485,231551484,266243763,232813463,232813464,233954482,233954477,233954478,234994194,235940506,236802895,266676699,266676701,274827132,236802898,236802897,274776385,236802888,266439109,234994188,266345101,232813478,232813477,233954495,234994220,235940536,236802902,274776385,236802888,266439109,234994188,266345101,232813478,232813477,233954495,234994220,235940536,235940510,266525399,236802901,236802944,236802914,236802915,237587675,237587669,236802898,236802897,274776385,236802888,266439109,234994188,266345101,232813478,232813477,233954495,234994220,235940536,236802902,274776385,236802888,266439109,234994188,274727961,234994224,266243765,231551488,231551485,231551484,266243763,232813463,232813462,233954480,233954469,233954468,234994181,235940499,266603653,235940501,266603655,235940522,235940521,236802915,266676705,266676707,237587666,236802893,235940504,234994190,233954475,232813459,231551470,231551469,232813457,233954471,234994185,235940501,266525397,234994186,235940502,236802886,266439111,233954497,232813478,231551486,230143705,228558246,226755006,224687129,222305501,219531228,219531229,222305502,224687130,226755007,228558249,230143710,231551491,232813470,231551477,230143700,228558244,226755004,226755003,228558242,230143699,231551476,266243759,234994204,235940518,236802912,235940542,234994224,266243765,231551488,231551485,231551484,266243763,233954473,233954472,234994186,266525395,234994183,233954470,233954471,234994185,235940501,266603655,235940525,234994211,233954490,233954489,234994209,266525403,235940539,266345103,232813479,266439113,266603661,266743029,266862451,240605764,240605763,267010067,267092477,242299911,241924229,274879203,240605775,240095890,266805273,238300636,266603665,266603663,266862451,240605764,240605763,267010069,267092481,241517526,241078610,240605774,240095890,240095889,266964239,240605758,274865139,240095888,239545441,238949232,266805269,238949245,238300645,266743031,238949235,238300636,266805271,238949234,238300634,237587690,236802935,236802934,237587689,238300608,238949215,239545428,238949212,238949211,238949219,266743027,238300613,238300631,266603659,266603661,266743029,266862451,240605764,240605763,267010069,267092481,241517526,267052285,267052281,267010065,241924220,267129035,241924226,267092479,274879203,240605775,240095890,240095889,266964239,240605758,274865139,240095888,239545441,238949232,266676711,237587689,238300608,238949215,239545428,238949212,238949211,238949219,266743027,238300613,238300631,266603659,266603661,266743029,266862451,240605764,240605763,267010069,267092481,241517526,267052285,267052281,267010065,241924220,267129035,241924226,267092479,274879203,240605775,240095890,240095889,266964239,240605758,274865139,240095888,239545441,238949232,266805269,238949245,238300645,266743031,238949235,238300636,266805271,238949234,238300634,237587690,236802935,236802934,237587689,238300608,238949215,239545428,238949212,238949211,238949219,238300614,238300615,266805263,240095877,240605762,267010065,241924220,267129035,241924226,267092479,274879203,240605775,240095890,240095889,266964239,240605758,274865139,240095888,239545441,238949232,266805269,266805261,238300607,238300606,238949211,238949219,266743027,238300613,238300631,266603659,266603661,266743029,266862451,240605764,240095879,266805267,266676709,274727963,233954487,266133365,231551476,266243759,234994204,235940518,236802912,235940542,234994224,266243765,231551488,231551485,231551484,266243763,232813463,232813464,233954482,233954477,233954478,234994194,235940506,236802895,237587667,237587700,266603656,232813486,266133366,230143710,266133369,233954495,234994220,235940536,235940510,266525399,236802901,236802946,236802945,236802905,235940512,235940513,236802907,266676707,237587666,236802893,235940504,234994190,233954475,232813459,231551470,231551469,232813456,233954468,234994181,235940499,236802882,266743025,266805258,274797715,237587657,274797713,234994179,235940496,266603651,236802917,235940524,234994211,233954490,233954489,234994209,235940516,235940515,236802910,237587672,266805265,236802919,235940528 Dl.O(d2) = 274440372,265303912,225578473,223337819,265485223,227527488,265104922,264372182,225622840,274048838,265104920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15545657, s2 = 10276315, dlinesl.size( ) = 20 s1 = 9768147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13847697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13847697, s2 = 4112587, int(edited[s2]) = 0 s1 = 13847697, s2 = 4112587, d1 = 9, d2 = 22 Dl.O(d1) = 219193882,264757971,206891309,206891307,208308768,208308769,213026011,216882586,219193886,215858758 Dl.O(d2) = 200916984,206891304,211826759,215858740,219193857,215858763,211826773,211826772,215858761,264989041,211826771,206891314,200916990,193835963,185576785,176112485,165430532,153649758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13847697, s2 = 4112587, dlinesl.size( ) = 16 s1 = 5388043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7724722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9832883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8688047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13779601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9842675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8758280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14934984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9842297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13849883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8878782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5440293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5440293, s2 = 11489426, int(edited[s2]) = 0 s1 = 5440293, s2 = 11489426, d1 = 105, d2 = 60 Dl.O(d1) = 224574147,222177912,219387166,219387164,216084448,216084449,216084454,212097849,207217998,201300970,201300969,201300974,194270375,194270374,201300972,207218003,212097853,216084456,219387159,216084444,273997851,207217994,264776213,216084439,212097841,212097842,216084441,219387156,265402487,219387169,216084455,216084440,216084441,219387156,265402487,265005669,265005671,216084459,216084460,265005673,273997851,207217994,264776213,219387154,264776215,207218007,201300977,201300976,207218005 Dl.O(d2) = 266488578,235551688,266196026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5440293, s2 = 11489426, dlinesl.size( ) = 2 s1 = 5440293, s2 = 11489426, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5440293, Dl.E( ) = 108, 2.6e-05 seconds used appending s1 = 8931786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5379066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7308720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7298007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5462165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9782255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6476862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5435620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14298249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14298249, s2 = 8850821, int(edited[s2]) = 0 s1 = 14298249, s2 = 8850821, d1 = 0, d2 = 5 Dl.O(d1) = 255316192,13581773,13581772,9299678,6091941,3811571,3811568,6091928,9299610,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,9300094,12987130,9320045,9320043,13610974,254664678,25645316,256142777,42401251,52800827,64714651,77903569,77903570,91825042,100439568,100439567,100439570,86482440,72887287,72887286,86482438,271354397,114463928,114516348,100492561,86533888,72935586,60196258,48799403,38877067,30291174,25321307,18742484,13342388,9115901,9115900,13342385,18742480,22867259,16639462,11607212,7726970,7726971,11607214,255242550,20029969,20029968,15931033,15021695,10349314,7694012,7694011,8320477,11431158,16415167,16435738,16435737,16573502,16573503,22672071,16475996,16405544,16405546,16393316,11409543,9119638,5967239,4812551,4809996,4809995,4812051,5965678,5965679,9117608,13344176,16438468,11453038,11453039,16420279,11436333,11436334,16420280,22603441,256420501,38534410,257543865,59829096,260620283,114162268,263170277,194169477,201211074,207139066,212028092,216022796,219332118,219522979,222297889,274416341,224528605,222128044,219332114,265208843,224528601,226614099,226614105,224528609,224528611,226614107 Dl.O(d2) = 214864722,214864723,274253739,214864720,214864719,264682622,219594743,219594742,221250019,219594728,216320362,212372194,212372196,216320368,219594734,264921022,222128101,222360817,219594731,219594732,222297870,219522966,216238177,212275581,207425761,201544401,194557442,186401138,186401139,194557444,201544404,207425767,212275592,216238169,212275575,212275576,216238170,265000196,221250038,274391719,226614105,224528609,224528611,226614107,226614115,224528619,222128056,222128057,224528621,222360814,219594723,218333912,214864722,214864723,216320359,216320358,212372185,263797462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14298249, s2 = 8850821, dlinesl.size( ) = 2 s1 = 14298249, s2 = 8850821, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14298249, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 8854667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14788249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11543152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5494373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5565116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8766544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7294554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5531100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5538804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5540142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5600449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8845407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9047562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8804485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13862803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11539450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4773342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5431464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7305005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8808493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5015402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7339548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5583182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5583349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9844929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5643819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5589926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15020093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16074119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7751373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15027065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15027065, s2 = 5730205, int(edited[s2]) = 0 s1 = 15027065, s2 = 5730205, d1 = 11, d2 = 11 Dl.O(d1) = 273392963,263988483,208050265,265743191,230177561,231581756,231581757,232840666 Dl.O(d2) = 273392963,263988483,208050265,265743191,230177561,231581756,231581757,232840666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15027065, s2 = 5730205, dlinesl.size( ) = 2 s1 = 15027065, s2 = 5730205, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15027065, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8897183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10274326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8923044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5663439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5665512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9771979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9771979, s2 = 3827375, int(edited[s2]) = 0 s1 = 9771979, s2 = 3827375, d1 = 5, d2 = 1 Dl.O(d1) = 229984166,231406436,232681018 Dl.O(d2) = 136283890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9771979, s2 = 3827375, dlinesl.size( ) = 2 s1 = 9771979, s2 = 3827375, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9771979, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 5724008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5701093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13836197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7288260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7288260, s2 = 5797837, int(edited[s2]) = 0 s1 = 7288260, s2 = 5797837, d1 = 7, d2 = 1 Dl.O(d1) = 265008882,225994340,227875181,229527588,230995257,232310604,233498581,232310607,230995258,230995259,232310608,233498583,233498575,232310599,230995255,230995254,232310598,233498574,234577294,233498586,232310610,230995263,229527594,227875184,225994341,225994340,227875181,229527588,230995257,232310604,233498578,232310601,232310600,232310602,233498579,266007360,230995260,229527590,229527589,230995259,230995261,229527593,227875184,225994341,225994340,227875181,229527588,230995257,232310604,233498578,232310601,230995255,230995254,232310597,232310604,233498581,266128036 Dl.O(d2) = 232310609,266128038,234577295,235559564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7288260, s2 = 5797837, dlinesl.size( ) = 2 s1 = 7288260, s2 = 5797837, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7288260, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 5766568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5766568, s2 = 6908971, int(edited[s2]) = 0 s1 = 5766568, s2 = 6908971, d1 = 21, d2 = 22 Dl.O(d1) = 233791404 Dl.O(d2) = 259979546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5766568, s2 = 6908971, dlinesl.size( ) = 2 s1 = 5766568, s2 = 6908971, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5766568, Dl.E( ) = 28, 1.12e-05 seconds used appending s1 = 10279430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8909464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8875505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8875505, s2 = 9535219, int(edited[s2]) = 0 s1 = 8875505, s2 = 9535219, d1 = 8, d2 = 1 Dl.O(d1) = 175229067,184796148,193149921,191759396,183162933,173332375,162262128,150093725,137016262,260387723,94742620,94742621,109022975,123248282,137016265,150093727,162262130,173332379,262667794,199153284,205407095,210582169,214810409,211460850,206460027,200413059,262667796,184917063,175369108,175369109,175369106,175369105,184917062,186946115,177664716,167165181,167165182,177664718,184917054,184917053,193255264,200413044,195032006,195032005,193255261,184917051,175369116,175369093,164609428,164609429,155532183,142982144,129653420,129653419,115755280,101708979,258068850,272896649,272535480,140083858,140083857,260539488,259319796,129653424,115755285,101708985,101708986,115755290,129653432,142982159,155532203,167165195,155532186,142982147,129653422,129653421,129653428,115755288,101708984,87734538,74128274,61345601,61345602,74128276,87734543,98895120,112882901,126735161,140083517,152774527,164609220,152774726,140083768,140083769,142982170,129653439,129653438,270815704,167165246,177664774,186946133,186946129,184916929,177664789,167165255,155532232,142982177,258068854,115755296,129653443,142982179,259938726,259319802,142982172,155532226,260539498,186946177,184916930,177664732,167165201,155532188,155532187,167165199,177664730,186946124,186946174,186946175,186946131,177664734,259938722,155532192,167165204,167165215,155532223,142982169,129653437,258693050,155532221,167165244,167165240,155532217,258693048,129653436,142982167,155532214,167165231,177664763,186946128,186946168,195032013,195032011,261667902,177664750,177664749,186946134,186946153,186946170,177664769,177664768,177664772,186946172,195032025,186946154,177664752,167165224,155532208,142982162,142982164,155532209,167165225,177664755,186946139,186946140,186946203,177664788,177664787,186946201,189116747,196861300,201950519,207420159,201538393,262667800,186393287,194550603,195032017,195032015,195032014,196861283,196861282,195032042,195032041,189116724,180174148,170007309,170007310,158648648,146280106,133052387,133052386,146280105,158648646,170007316,180174160,189116737,189116732,189116733,196861279,189116722,189116721,262767448,170007318,180174163,189116743,196861292,274038107,217324759,220431695,274090726,220431704,219741250,219741249,217324766,264475080,220431681,217324762,213593874,213593875,216488504,212567560,212567559,263865638,217324751,213593864,209038438,209038439,213593866,264475078,223070750,225347248,227325157,228676585,226892741,224845780,222487552,222487551,220431701,264734298,220431682,219741242,219741241,222487542,224845763,225347285,225347286,227325211,226341372,274186106,218928394,218928393,221779311,224223402,265179096,226341374,228186192,226892714,224845766,224845765,226892712,225347256,264734304,217324748,217324747,264967778,225347288,225347287,227325212,226341368,224223400,221779309,221779310,220431693,264475084,213593870,217324757,220431691,265179084,226892710,228676544,227325166,227325165,229053515,230579187,229053536,229053510,227325159,265545936,230579202,265371164,230246544,230246543,229053521,227325175,227325173,227325177,225347260,223070757,220431685,264475074,222487545,224845769,226892719,227325179,225347261,225347262,227325182,229053524,265545928,230579195,230246578,228676575,226892732,226892731,228676574,230246576,229053518,227325171,225347257,225347258,226892717,228676548,230246540,231641865,265179092,226892721,224845770,264734302,228676556,230246554,230579192,231641908,230246569,230246570,230246568,228676565,226892727,226892726,228676563,230246563,231641866,274404512,231641868,230246545,230246546,231641870,232895799,232895811,232895810,233700965,232895822,232895814,231938588,231641885,231641886,231641888,232895817,234031218,233164118,233164117,232895828,231641901,230246565,230246566,231641902,231641877,265179090,228676552,230246548,231641875,232895807,274404514,231641890,232895819,234031214,232895826,231641897,231641896,232895803,232895802,265703834,234031216,234760878,233700918,266217654,233700927,232535241,231244908,229806265,228186201,226341388,226341389,228186204,229806270,231244919,232535257,233700939,234760865,234760866,235726484,235280114,234760888,233700932,232535244,232535243,233700930,234760884,234760894,233700935,232535249,231244913,231244914,266217657,266321232,232535230,231244899,229806260,229806261,231244902,266105104,266505079,235726508,266321242,232535255,232535254,233700917,234760875,266416982,266416980,234760885,234760886,234760883,233700924,233700923,234760881,235726504,234760889,233700933,274721823,236604733,236197313,235280115,234272677,233164122,233164121,234272674,235066010,234031239,232895840,265545934,265545932,232895834,232895833,232895836,265982210,235065999,235726488,234760868,234760867,235726486,236604726,237405554,237032978,236197320,235280129,235280130,236197322,236007271,236007272,235065996,234031228,234031227,235065995,236007277,236863072,236007293,235066006,234031235,234031236,235066008,236007295,235618150,235618151,236507739,236507734,236507733,235618152,266363754,235618161,234642029,233571265,233571251,232393986,232393985,231092089,266092179,233571255,232394004,232394002,265907138,265968917,232394016,232393977,231092068,231092069,229640692,228006553,226145363,226145364,227344471,227344467,225367619,265260850,227344466,225367618,225367617,225367623,224006437,224006434,274296476,218657680,221537675,224006435,274125234,215236334,211083157,211083156,215236331,218657665,215236325,264832662,217356050,213631313,209089376,209089377,213631315,264584278,274178847,206002195,199857512,196936054,196936055,203554753,209089372,213631306,217356053,220458189,223093193,265057560,223093192,224006443,265260852,223093206,220458197,217356062,217356063,220458200,220004506,216788855,212908808,208162742,208162743,212908811,216788859,220004511,222718892,265057564,224006422,224006421,223093203,220458192,217356058,213631308,209089373,263998846,217356060,220458194,218657691,218657692,218657695,220004501,220004500,220004504,221537668,218657673,218657672,221537666,223093200,221537697,221537685,218657689,215236341,264832664,218657718,215236365,215236359,215236360,218657712,221537691,224006447,224006445,265159931,215236348,264947055,215236345,215236346,218657653,215236311,211083141,206002189,199857510,199857509,206002188,211083140,206002231,199857544,192588899,184142167,174497499,174497500,174497482,163664329,163664328,174497480,184142149,184142146,174497478,163664326,163664327,163664358,151789433,139085805,125744864,125744863,139085803,151789426,139085799,125744862,111925008,97985734,97985735,260488223,139085801,151789429,163664354,163664404,163664405,163664394,151789461,151789462,163664396,174497555,184142197,186414048,177058153,177058154,174497533,174497532,263473919,174497562,163664402,261619955,139085812,139085811,139085814,125744868,261067337,151789446 Dl.O(d2) = 262295157,177058158,184142134,192588869,189192289,184142186,174497535,174497536,177058166,177058165,170077878,163664364,151789442,151789443,163664366,163664390,163664391,166476908,177058173,174497521,174497524,174497542,163664381,163664380,174497540,263835455,184142189,174497545,163664384,151789455,151789456,163664386,166476902,154771651,142139506,142139505,154771647,166476893,177058160,184142191,174497547,262379340,170077869,158718656,158718655,170077867,180247255,262847912,180247257,170077872,158718657,146350287,146350288,158718658,170077871,260762172,259550264,119293509,133123461,130494154,116655849,102557011,102557010,105099982,105099988,105099987,105100007,114890783,114890782,128786401,114890781,100840715,100840714,114890779,258925256,90919168,90919169,269417080,77038309,90919144,100840712,260663063,114890773,105099978,105099980,119293495,105100009,90919173,90919172,258925258,90919174,90919135,90919134,105099974,90919136,90919137,105099977,105099992,90919148,77038311,63925570,52105906,52105905,63925567,77038308,73247423,73247424,86860035,271364555,100840723,100840722,100840711,86860028,73247413,73247414,86860029,86860017,73247395,60500460,257109576,30569060,30569059,32870957,25163467,254619878,13223549,18605612,25163463,32870952,41791981,52105914,63925583,52105922,52105923,63925591,63925598,63925597,269417082,100840721,258302186,77038314,77038315,73247406,60500469,49096923,49096922,60500467,73247403,63925577,257109574,86817762,73204783,60457597,49053697,48729781,38809312,38809313,48729784,60124643,258798229,86457198,100414186,114438675,128315237,141664552,147743237,134613029,120816978,120816976,120816977,134613028,147743235,147743229,134613022,120816972,106569601,92272177,78245249,78245248,92272171,106569599,106569590,92272165,78245239,64971935,64971936,78245240,92272167,106569594,120816962,134613016,120816961,120816960,134613014,147743226,160006914,171243719,181281821,190098952,273530598,160006911,160006912,160006909,147743222,134613012,134613013,147743224,155140828,142496513,129118976,115186905,101108538,87110281,73491499,60742441,49339240,49339239,60742438,73491492,259464259,115186898,114252780,259410482,86252467,86252466,72651494,59911251,48518146,38603391,30029957,22655869,22655870,30029958,38603392,48518147,59911253,72651499,260025121,128139069,141500024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8875505, s2 = 9535219, dlinesl.size( ) = 2 s1 = 8875505, s2 = 9535219, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8875505, Dl.E( ) = 10, 1.31e-05 seconds used appending s1 = 5754277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5816323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5816323, s2 = 7377389, int(edited[s2]) = 0 s1 = 5816323, s2 = 7377389, d1 = 15, d2 = 8 Dl.O(d1) = 235031517,266348956 Dl.O(d2) = 266017344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5816323, s2 = 7377389, dlinesl.size( ) = 2 s1 = 5816323, s2 = 7377389, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5816323, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 5816528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5890492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5890492, s2 = 10279362, int(edited[s2]) = 0 s1 = 5890492, s2 = 10279362, d1 = 83, d2 = 76 Dl.O(d1) = 274702059,236854189,235996831,235996830,236854187,266680831,238622859,239247011,266865493 Dl.O(d2) = 234019096,232882753,231627915,265947642,265323066,264670894,273667904,177563868,262549940,49763579 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8897887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8856232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9569617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16310177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8956374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8956374, s2 = 4661492, int(edited[s2]) = 0 s1 = 8956374, s2 = 4661492, d1 = 150, d2 = 82 Dl.O(d1) = 267017524,240692652,240188428,239643373,239055117,238415339,238415338,239055116,238415342,266754169,237713891,237713890,237713885,266576486 Dl.O(d2) = 273174685,187492900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8956374, s2 = 4661492, dlinesl.size( ) = 36 s1 = 4079857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14799937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14799937, s2 = 8888685, int(edited[s2]) = 0 s1 = 14799937, s2 = 8888685, d1 = 12, d2 = 11 Dl.O(d1) = 274785720,266558854,235398304 Dl.O(d2) = 233308783,232101194,265938929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14799937, s2 = 8888685, dlinesl.size( ) = 2 s1 = 14799937, s2 = 8888685, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14799937, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8671814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7397293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7377685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9294256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9848613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11588340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588340, s2 = 9552957, int(edited[s2]) = 0 s1 = 11588340, s2 = 9552957, d1 = 1, d2 = 1 Dl.O(d1) = 59881395,72619800,86218221,261200857,154137167,165901153,176552084,185978171,194195829,201234556,207160210,212046420,216038418,219345719,222140058,224539344,226623840,228440885,266003119,231455419,266235245,266337227,266518657,237529398 Dl.O(d2) = 59881395,72619800,86218221,261200857,154137167,165901153,176552084,185978171,194195829,201234556,207160210,212046420,216038418,219345719,222140058,224539344,226623840,228440885,266003119,231455419,266235245,266337227,266518657,237529398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588340, s2 = 9552957, dlinesl.size( ) = 2 s1 = 11588340, s2 = 9552957, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11588340, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7409018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5865956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5865956, s2 = 6688608, int(edited[s2]) = 0 s1 = 5865956, s2 = 6688608, d1 = 77, d2 = 35 Dl.O(d1) = 236259901,237091714,237850964,238541299,239173677,239753993,239753992,239753991,266865462,238541298,238541299,239173677,239753993,274856097,241248803,241248853,241248854,241675896,242070647,242070616,241675872,267067717,242070594,242434201,267141975,242771796,242434199,242070578,242070579,242434197,242434269,242070662,241675912,241248861,240787439,240289893,240289892,240787434,241248856,241675902,242070657,242434192,242070572,267106491,242434252,242070643,241675895,241675894,242070640,267141981,242434173,242070547,241675809,241248785 Dl.O(d2) = 20899698,257393607,70445112,259254997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5865956, s2 = 6688608, dlinesl.size( ) = 2 s1 = 5865956, s2 = 6688608, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5865956, Dl.E( ) = 80, 2.69e-05 seconds used appending s1 = 8703504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5309684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7449106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5908096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7406739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5985481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5312784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5312784, s2 = 6312565, int(edited[s2]) = 0 s1 = 5312784, s2 = 6312565, d1 = 8, d2 = 6 Dl.O(d1) = 220241917,220241918,222911351,225211071,265399218,230497371,231868653,266002982,235232432,235232431,236155118,266518570,237764156,236996182,236996183 Dl.O(d2) = 275001046,245682629,245805451,245921078,246029639,246131480,246228737,246320070,246406285,246487571,267549388,246707335,246772543,246834599,246894409,246951605,247005528,247005527,246951603,246951602,246894407,246894406,246951600,247005524,247005525,247056317,247102607,247144161,247181717,247217288,247251398,247284070,247314846,247343275,247369484,247394471,247418779,247442594,247465367,247487107,247507610,247527257,247545957,247541217,247522147,247502314,247481360,247459393,247436293,247412209,247387659,247362333,247335847,247307306,247276217,247243196,247208806,247172811,247133981,247091164,247043806,246992442,246937614,246879866,246819667,246757360,246691411,246621547,246546919,246468207,246385267,246297372,246203989,267494134,267466978,245647497,267419920,245216334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5312784, s2 = 6312565, dlinesl.size( ) = 2 s1 = 5312784, s2 = 6312565, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5312784, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11578678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8869506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10285366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10285366, s2 = 9720503, int(edited[s2]) = 0 s1 = 10285366, s2 = 9720503, d1 = 33, d2 = 29 Dl.O(d1) = 236530468,274700136,238076613,266676690,238300560,266862439,238949178,238300558,237587609,237587610,266743011,238949179,266915177,240095853,266964237,241078583,241517499,241859752,241446445,241000615,240518970,240000156,266905690,238835373,266731156,236655048,235780295,234819190,233764012,232604671,232604672,233764014,234819195,235780305,236655064,237452557,237452575,237452574,266731175,239440809,239440854,266852100,238176484,238176485,238835419,239440845,239440854,238835428,238176492,237452575,237452574,238176514,238176503,266731173,238835371,274794112,237452522,238176442,238835372,266905688,238835372,239440812,238835389,238176459,237452533,236655051,235780296,234819190,233764012,232604671,232604672,233764013,234819191 Dl.O(d2) = 165106730,153293165,140613067,140613066,140613068,153293167,165106731,175831511,185336489,193628709,200735320,206732011,211686318,215735384,219083959,221911477,224338220,226445020,228279766,229890927,231321864,232604675,233764017,234819200,235780312,236655076,235837853,234882904,233834652,232683306,231409228,229987725,229987727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10285366, s2 = 9720503, dlinesl.size( ) = 12 s1 = 14148526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7432902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5236675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5963813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5963813, s2 = 3026289, int(edited[s2]) = 0 s1 = 5963813, s2 = 3026289, d1 = 53, d2 = 28 Dl.O(d1) = 239787290,239210541,238583058,237896916,237896917,237863265,237105403,236275329,236275328,237105402,237863264,237896874,274738880,237863271,237105418,236275337,236275338,266476612,266634646,239185235,266634648,237863287,237105429,236275348,235366024,234368385,234368384,235366023,236275346,237105427,237863285,238553058,239185242,239765675,239185219,238553039,238553040,266705202,239765687,239210543,239210531,238583039,238583038,238583034,238583033,239210525,239765678,239185222,239185223,266829827,239765679,266634642,237863270,237105410,237105408,266559238 Dl.O(d2) = 91824724,77903262,64714381,52800536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5963813, s2 = 3026289, dlinesl.size( ) = 2 s1 = 5963813, s2 = 3026289, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 5963813, Dl.E( ) = 54, 1.72e-05 seconds used appending s1 = 14159855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7775167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9847613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10288079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6012287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7409419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7498450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9785587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10287137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13921055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15958501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11599496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8958568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8958568, s2 = 14279023, int(edited[s2]) = 0 s1 = 8958568, s2 = 14279023, d1 = 71, d2 = 53 Dl.O(d1) = 267041386,240654436,240654430,240654429,240654439,240654440,241123253,240654441,240654434,240148432,239602083,239011344,238369167,237664178,237664179,266749619,274835839,240148430,240148428,240654433,241123250,241557896,267041388,241123252,240654441,240654434,240148432,239602083,239011344,238369167,237664178,236887772,236033863,235094522,234061861,232928698,231677777,230286213 Dl.O(d2) = 262358269,263638677,187207432,263632379,202156350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8958568, s2 = 14279023, dlinesl.size( ) = 8 s1 = 7479982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11603802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9785641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9849053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8969144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9784025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8963469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8919422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6069413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6075860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6079053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16181766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15040819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13903261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6147432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13913847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11611638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6160479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6160479, s2 = 7677315, int(edited[s2]) = 0 s1 = 6160479, s2 = 7677315, d1 = 72, d2 = 87 Dl.O(d1) = 242941658 Dl.O(d2) = 262922883,173578548,162547450,150418441,272206718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6160479, s2 = 7677315, dlinesl.size( ) = 12 s1 = 6147005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8975779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8975779, s2 = 14371286, int(edited[s2]) = 0 s1 = 8975779, s2 = 14371286, d1 = 31, d2 = 27 Dl.O(d1) = 241556075,241959112,242331513,242676439,242998071,267166384,241959116,241959115,242331518,242676441,242676456,242676457,242998078,242676447,242331530,267056182,241121256,240652371,240146260,239599868,239009021,238366723,266749322,238366722,239009020,239599866,266968665,241556084,241959124,242331528,242676446,242998073,243299508,243581057,243299511,243299510,267166388,242331530 Dl.O(d2) = 266320294,232526007,231234338,265931520,228171228,228171231,229793967,229793962,229793961,231234337,232526006,231234341,229793972,265793754,274403879,229793970,265793752,224199332,224199330,221750815,218897424,215517645,215517646,218897426,265369235,218897422,264877144,206423964,200374651,193214408,263862567,184872573,272988614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8975779, s2 = 14371286, dlinesl.size( ) = 2 s1 = 8975779, s2 = 14371286, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8975779, Dl.E( ) = 32, 1.91e-05 seconds used appending s1 = 8979642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7342455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7482819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8985348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8990034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6213211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7502923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6242046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6242046, s2 = 15269384, int(edited[s2]) = 0 s1 = 6242046, s2 = 15269384, d1 = 199, d2 = 176 Dl.O(d1) = 244646072,244445764,244230754,244230755,244230753,243998522,267246556,243191305,243191304,243480307,243191307,242883149,242551874,242551873,242883148,243191306,267244725,243191308 Dl.O(d2) = 185329434,262776236,206727514,205848289,263823640,192379519,183905566,174237137,262123914,261048356,111676601,97758283,258622400,46338071,256272074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6242046, s2 = 15269384, dlinesl.size( ) = 26 s1 = 11614926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9848241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9848241, s2 = 9003949, int(edited[s2]) = 0 s1 = 9848241, s2 = 9003949, d1 = 16, d2 = 18 Dl.O(d1) = 245001187,245001175,244824697,244637261,244435950,244435951,244637263,244824706,245001187,245001175,245001174,267417653,245322505,245166998,245166996,245322501,245468758,245468755,267434227,245322535,245468755,245322495,245322496,245468757,245322540,245167028,245001192,245001191,245167026,245322534,245468789,245606179,245606173,245606174,245606186,245468799,267417665,245001201,267399921,245322517,245322518,245468777,245468760,245322503,245166998,245166999,245322506,245468767,245322527,245167022,245167013,245001178,244824700,267341101,244435951,244637263,244824706,245001187,245001175,245001174,267417653,245322505,245166998,245166999,245322506,245322554,245322553,245468782,245468781,267417659,245001194,244824710,244824709,245001191,245167026,245322534,245468789,245606179,245606173,245606174,245734007,245734003,245606172,245468785,245322531,245322530 Dl.O(d2) = 245468759,245468771,245322512,245322511,245167011,245001177,244824698,244637261,244435950,244435951,244637263,244824706,245001187,245001175,245001174,267417653,245468766,245322509,245167004,245001172,244824696,244824695,245001170,267434217,245322494,245166990,245001166,245001165,245166992,245322496,245468757,245322540,245167028,245001192,245001191,245167026,245322534,245468789,245606179,245606173,245468786,245468787,245606176,245734009,245734008,245853609,245966180,246068373,246068372,246168288,246171743,246071947,246071948,246171745,246171746,246171747,246267134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9848241, s2 = 9003949, dlinesl.size( ) = 2 s1 = 9848241, s2 = 9003949, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9848241, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 6222564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6262925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6267525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11629824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6264631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8997468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6305015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6288317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7797167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156152, s2 = 6364107, int(edited[s2]) = 0 s1 = 14156152, s2 = 6364107, d1 = 3, d2 = 25 Dl.O(d1) = 243487034 Dl.O(d2) = 246862364,246921350,246977502,247030117,247078888,247075879,247026959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14156152, s2 = 6364107, dlinesl.size( ) = 2 s1 = 14156152, s2 = 6364107, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14156152, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 9004376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7529023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13951701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9006966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9007625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7525788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7525788, s2 = 6377592, int(edited[s2]) = 0 s1 = 7525788, s2 = 6377592, d1 = 16, d2 = 13 Dl.O(d1) = 267494543,267518125,246189179,246283703,267548411,246534846,246609935,246679888,246679870,246609925,246534842,246455944,246455945,246534844,246609928,246679877,246745648,246808456,267606679,246982842,247035105,267632405 Dl.O(d2) = 247271323,267647173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7525788, s2 = 6377592, dlinesl.size( ) = 2 s1 = 7525788, s2 = 6377592, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7525788, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 7533639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7532427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9003713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9850001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6356785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6356785, s2 = 7799572, int(edited[s2]) = 0 s1 = 6356785, s2 = 7799572, d1 = 17, d2 = 14 Dl.O(d1) = 246879889,246937637,246992461,246992459,246992460,247043830,247091191 Dl.O(d2) = 275074618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6356785, s2 = 7799572, dlinesl.size( ) = 8 s1 = 9013137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6374240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9011936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9011936, s2 = 11637700, int(edited[s2]) = 0 s1 = 9011936, s2 = 11637700, d1 = 41, d2 = 54 Dl.O(d1) = 267593615,246923127,246978941 Dl.O(d2) = 267593024,246974603,247027390,247076307,247120564,267627286,247160513,247160518,267627288,247160510,275064504,275064506,267627288,267622549,247076297,247120551,267631715,247160512,247120552,275064508,267605758,246918262,246859107,267579476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9011936, s2 = 11637700, dlinesl.size( ) = 2 s1 = 9011936, s2 = 11637700, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9011936, Dl.E( ) = 78, 2.29e-05 seconds used appending s1 = 7537760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9012696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9014758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15049463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6381529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14216643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14216643, s2 = 14104514, int(edited[s2]) = 0 s1 = 14216643, s2 = 14104514, d1 = 23, d2 = 7 Dl.O(d1) = 247471050,247492073,247512095,247531312,247549787,247568007 Dl.O(d2) = 256654559,255269633,13539992,18975522,25583703,33343253,42324154,52711202,64611534,77794251,91722201,105929902,120142028,133983643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14216643, s2 = 14104514, dlinesl.size( ) = 2 s1 = 14216643, s2 = 14104514, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14216643, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 9850243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6396853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9016938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6398495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7547664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7549078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6405791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6405791, s2 = 7800845, int(edited[s2]) = 0 s1 = 6405791, s2 = 7800845, d1 = 9, d2 = 9 Dl.O(d1) = 247813052,267698058,267694814,275090355,267689466 Dl.O(d2) = 247813052,267698058,267694814,275090355,267689466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6405791, s2 = 7800845, dlinesl.size( ) = 2 s1 = 6405791, s2 = 7800845, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6405791, Dl.E( ) = 10, 2.86e-06 seconds used appending s1 = 7549919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7550038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6412358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9659884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6417132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6473614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646228, s2 = 9385905, int(edited[s2]) = 0 s1 = 11646228, s2 = 9385905, d1 = 4, d2 = 6 Dl.O(d1) = 94381288,108668368,112943738,112943737,99307222,99307181,99307180,113310781,99307247,255057100,85362272,99307174,98954654,254162386,254162384,98954652,112943735,99307239 Dl.O(d2) = 98954647,112943730,105635185,98954656,91408731,77477409,77477408,71772652,59030074,47627820,47627819,255429712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646228, s2 = 9385905, dlinesl.size( ) = 2 s1 = 11646228, s2 = 9385905, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11646228, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 654788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 654788, s2 = 14162877, int(edited[s2]) = 0 s1 = 654788, s2 = 14162877, d1 = 0, d2 = 0 Dl.O(d1) = 100645566,114691351,123940177,109803805,95601467,95601466,109803802,123940175,137618677,150615061,162713267,162713268,173721636,262390924,139899387,126536313,112673867,112673866,126536311,260697549,101592689,101592688,270960494,71183635,71183634,61240864,49761862,257629093,257046595,31065176,23581291,17269248,12148356,12148355,17269247,23581289,31065173,39743180,49761854,47663919,37741991,29181166,21870364,21870363,21870367,15796338,10944664,7242424,4566054,4566053,7242423,10944662,13658513,9352989,6126251,3833038,2296571,2296568,3833033,6126247,4565264,4565265,7241254,10943257,15794799,21868801,15796035,10944424,7242433,4566059,2746108,2746109,4566061,7242436,10944659,10945253,10943280,10943281,15794820,10945110,7242813,4566327,4566328,7242817,10944294,7242104,7242103,10944291,15794451,15794452,15795151,10943600,10943599,11832293,15795161,10943606,7241928,4565715,2745880,2745881,4565610,7241778,10943912,15795526,21868923,21868585,15794578,10943077,10943078,10944864,7242645,254343637,2746225,4566217,7242151,7242028,7241024,4565123,2745549,1591782,1591783,2745594,4565202,7241148,10943128,7242156,7242155,10944352,15795992,21869988,16712849,11671204,7780351,7780352,11671206,10956789,7252126,4573349,2751257,1594788,1594789,2751259,4573352,7252130,7252128,7252129,7248303,7248304,10951956,255433002,254514749,2747522,1594585,906478,511167,511168,254162849,2746544,4566727,7243390,4571800,2750173,1594107,1594105,2750169,2747904,2747905,1593085,1593084,2748598,4569732,2749114,1593380,1593381,2749116,4570398,2749409,1593556,1593558,2749414,4570852,7249005,10952971,10949452,7246325,7246326,10949454,10953138,10953139,10955616,15809640,21885947,20953243,20953244,18676742,13283860,9067283,9067284,11512438,7658299,4845583,2919983,2919980,1693850,1693855,2920019,4845661,7658423,11512626,16519400,22436465,22724426,22436741,255094093,11310985,11310986,16268018,21692429,28974896,22435690,22435691,255807982,17311585,12187187,12187188,15656718,15656719,17810497,17810495,22702483,22007666,22007667,21939591,21939592,29260832,24067797,24067796,31573459,40260709,258279145,88159035,100764394,86783724,73171219,73171218,86783721,100764392,100764395,86783725,86783726,100764398,114816465,260885278,92946852,92946851,107352217,121734044,260418186,85635782,85635780,258552238,38003834,38003833,47919503,59313006,72048002,64397391,52523525,42165113,33204935,25457691,18858371,18858372,25457693,33204941,42165124,52523538,64397401,77565813,91496996,260276153,133824878,119957187,119957186,261439675,159445696,170785283,263348229,197466139,192982933,184598657,174997512,260916382,139568628,260322030,164181715,164181719,152298528,139568630,126193372,112332625,271764965,152298530,164181721,272731216,192982940,200175288,206248231,209339710,206248229,206248226,200175285,200175284,206248227,203868207,273627621,159268670,146897672,133644372,261431539,159268673,159268676,170603981,159268667,146897670,133644370,119774707,119774708,261431537,119774704,105541501,91323887,91323886,91323889,77405363,258396961,64255517,77405362,271029367,119774706,119774710,105541506,105541505,119774706,260863405,105541494,271530931,133644362,146897660,262466903,272697960,180165927,170603966,170603967,180733216,189628355,187392348,178164559,262364465,143569948,130242221,116405582,102313227,88317640,88317639,102313224,88317637,88317638,102313226,116405580,272274197,272274199,102313236,88317646,74690024,61896330,61778396,50298973,47829509,37907715,29338872,24166989,17799321,12599634,12599635,255509600,12546703,8505959,5506383,5506384,8505960,7460631,7460632,11240496,12546709,8505965,7244527,4567440,2747007,1647283,936610,936609,527793,527796,936638,969672,1646779,2838783,4712246,7457521,8524422,5523117,3409799,3409800,5523119,5546768,8548373,9851372,8553690,5551269,254280447,1164228,653332,362259,198265,198266,254107699,1164229,2032728,1182745,1182746,2060938,2028066,1174941,1174942,1161550,651788,361477,197878,107870,107855,107854,197850,361411,651649,1161290,2028300,2013572,1151669,1151670,2013574,3411870,5525370,8526735,11577458,7706155,4877109,3328062,1957208,1117967,1117968,1957209,3328063,5413872,3327908,254404531,4876227,3427921,3427920,5542446,5413887,5413888,3327951,3327952,5413933,5413926,3327946,3327947,5413927,7705805,4876885,2938596,1704035,1704036,2938597,4876887,7705811,11576961,11575092,7704614,4876225,4876223,7704758,254877735,11575625,16597445,22816229,29743516,29743889,22384666,22384667,22384979,22384978,22384747,16226758,11280278,11280277,16226756,22384743,22816228,22385070,16227711,11281046,11281045,16227268,22384156,16226187,11279781,7487641,4732326,4732327,7488280,11280599,11280603,7488271,7488270,11280601,268225981,29744383,38313080,48222023,59608822,48222974,48222973,59609848,72344154,85937091,85937094,85938020,72344151,72344152,85938022,273084576,113911651,113911650,127786146,141142995,153815984,141142989,272213621,127786138,141142987,261728279,127786142,127786141,130188883,260145095,260145093,88256571,269882461,50349636,40323198,31634278,24127630,17764731,12571130,8525451,254414147,2012657,254137855,358302,645701,1151069,267801901,5516928,8518649,268382546,15425437,21414963,15425434,15425433,21414967,28659462,28659458,28659457,31845956,24326157,17938258,17938257,24326153,31845952,40544126,257691389,74870265,259548513,105426849,91204507,77284417,64135436,64135435,74870254,74870253,88506068,74870267,62072332,50580274,50580275,62072333,74870269,77285980,258386792,257772070,102513841,258386794 Dl.O(d2) = 100645566,114691351,123940177,109803805,95601467,95601466,109803802,123940175,137618677,150615061,162713267,162713268,173721636,262390924,139899387,126536313,112673867,112673866,126536311,260697549,101592689,101592688,270960494,71183635,71183634,61240864,49761862,257629093,257046595,31065176,23581291,17269248,12148356,12148355,17269247,23581289,31065173,39743180,49761854,47663919,37741991,29181166,21870364,21870363,21870367,15796338,10944664,7242424,4566054,4566053,7242423,10944662,13658513,9352989,6126251,3833038,2296571,2296568,3833033,6126247,4565264,4565265,7241254,10943257,15794799,21868801,15796035,10944424,7242433,4566059,2746108,2746109,4566061,7242436,10944659,10945253,10943280,10943281,15794820,10945110,7242813,4566327,4566328,7242817,10944294,7242104,7242103,10944291,15794451,15794452,15795151,10943600,10943599,11832293,15795161,10943606,7241928,4565715,2745880,2745881,4565610,7241778,10943912,15795526,21868923,21868585,15794578,10943077,10943078,10944864,7242645,254343637,2746225,4566217,7242151,7242028,7241024,4565123,2745549,1591782,1591783,2745594,4565202,7241148,10943128,7242156,7242155,10944352,15795992,21869988,16712849,11671204,7780351,7780352,11671206,10956789,7252126,4573349,2751257,1594788,1594789,2751259,4573352,7252130,7252128,7252129,7248303,7248304,10951956,255433002,254514749,2747522,1594585,906478,511167,511168,254162849,2746544,4566727,7243390,4571800,2750173,1594107,1594105,2750169,2747904,2747905,1593085,1593084,2748598,4569732,2749114,1593380,1593381,2749116,4570398,2749409,1593556,1593558,2749414,4570852,7249005,10952971,10949452,7246325,7246326,10949454,10953138,10953139,10955616,15809640,21885947,20953243,20953244,18676742,13283860,9067283,9067284,11512438,7658299,4845583,2919983,2919980,1693850,1693855,2920019,4845661,7658423,11512626,16519400,22436465,22724426,22436741,255094093,11310985,11310986,16268018,21692429,28974896,22435690,22435691,255807982,17311585,12187187,12187188,15656718,15656719,17810497,17810495,22702483,22007666,22007667,21939591,21939592,29260832,24067797,24067796,31573459,40260709,258279145,88159035,100764394,86783724,73171219,73171218,86783721,100764392,100764395,86783725,86783726,100764398,114816465,260885278,92946852,92946851,107352217,121734044,260418186,85635782,85635780,258552238,38003834,38003833,47919503,59313006,72048002,64397391,52523525,42165113,33204935,25457691,18858371,18858372,25457693,33204941,42165124,52523538,64397401,77565813,91496996,260276153,133824878,119957187,119957186,261439675,159445696,170785283,263348229,197466139,192982933,184598657,174997512,260916382,139568628,260322030,164181715,164181719,152298528,139568630,126193372,112332625,271764965,152298530,164181721,272731216,192982940,200175288,206248231,209339710,206248229,206248226,200175285,200175284,206248227,203868207,273627621,159268670,146897672,133644372,261431539,159268673,159268676,170603981,159268667,146897670,133644370,119774707,119774708,261431537,119774704,105541501,91323887,91323886,91323889,77405363,258396961,64255517,77405362,271029367,119774706,119774710,105541506,105541505,119774706,260863405,105541494,271530931,133644362,146897660,262466903,272697960,180165927,170603966,170603967,180733216,189628355,187392348,178164559,262364465,143569948,130242221,116405582,102313227,88317640,88317639,102313224,88317637,88317638,102313226,116405580,272274197,272274199,102313236,88317646,74690024,61896330,61778396,50298973,47829509,37907715,29338872,24166989,17799321,12599634,12599635,255509600,12546703,8505959,5506383,5506384,8505960,7460631,7460632,11240496,12546709,8505965,7244527,4567440,2747007,1647283,936610,936609,527793,527796,936638,969672,1646779,2838783,4712246,7457521,8524422,5523117,3409799,3409800,5523119,5546768,8548373,9851372,8553690,5551269,254280447,1164228,653332,362259,198265,198266,254107699,1164229,2032728,1182745,1182746,2060938,2028066,1174941,1174942,1161550,651788,361477,197878,107870,107855,107854,197850,361411,651649,1161290,2028300,2013572,1151669,1151670,2013574,3411870,5525370,8526735,11577458,7706155,4877109,3328062,1957208,1117967,1117968,1957209,3328063,5413872,3327908,254404531,4876227,3427921,3427920,5542446,5413887,5413888,3327951,3327952,5413933,5413926,3327946,3327947,5413927,7705805,4876885,2938596,1704035,1704036,2938597,4876887,7705811,11576961,11575092,7704614,4876225,4876223,7704758,254877735,11575625,16597445,22816229,29743516,29743889,22384666,22384667,22384979,22384978,22384747,16226758,11280278,11280277,16226756,22384743,22816228,22385070,16227711,11281046,11281045,16227268,22384156,16226187,11279781,7487641,4732326,4732327,7488280,11280599,11280603,7488271,7488270,11280601,268225981,29744383,38313080,48222023,59608822,48222974,48222973,59609848,72344154,85937091,85937094,85938020,72344151,72344152,85938022,273084576,113911651,113911650,127786146,141142995,153815984,141142989,272213621,127786138,141142987,261728279,127786142,127786141,130188883,260145095,260145093,88256571,269882461,50349636,40323198,31634278,24127630,17764731,12571130,8525451,254414147,2012657,254137855,358302,645701,1151069,267801901,5516928,8518649,268382546,15425437,21414963,15425434,15425433,21414967,28659462,28659458,28659457,31845956,24326157,17938258,17938257,24326153,31845952,40544126,257691389,74870265,259548513,105426849,91204507,77284417,64135436,64135435,74870254,74870253,88506068,74870267,62072332,50580274,50580275,62072333,74870269,77285980,258386792,257772070,102513841,258386794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 654788, s2 = 14162877, dlinesl.size( ) = 2 s1 = 654788, s2 = 14162877, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 654788, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 11646238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 207577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9408944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9408944, s2 = 14245111, int(edited[s2]) = 0 s1 = 9408944, s2 = 14245111, d1 = 160, d2 = 135 Dl.O(d1) = 257861690,89797304,89797303,103898447,105541422,103898463,103898462,258479150,103898466,257861694,122025550,131865643,131865644,128420833,114537681,100507302,86545189,259429359,91323788,91323787,105541414,119774626,127868946,118040673,118040674,113535077,99524091,258765792,71990685,85577459,99524080,113535070,127404870,131276113,131276111,117472528,103341442,103341440,117472525,260187087,89248664,75495252,62566110,50954208,50954207,258319189,89248660,103341446,103507432,89413650,89413649,103507430,103507439,89413654,259579417,102441890,88440087,88440086,260157263,98991296,85064956,85064957,91892081,77967319,64772562,64772563,74807582,74807583,62706725,51076325,40934619,255633188,24572549,32156563,40934622,51076330,62706717,75651892,75651918,62706737,51076336,40934626,40934625,51076335,58761899,58761898,71492218,71492228,58761906,47374394,256342959,21650640,15616836,15616835,21650637,28927086,33455367,42448568,52852843,42448619,33455398,33455397,42448614,52852847,42448570,33455368,33455369,41840545,255236802,25200622,32913419,256094904,34289829,43389097,53913304,65980410,79345468,91892084,77967340,64772595,52852886,42448597,33455383,25683649,19060326,19060325,25683647,33455380,42448589,42448485,42448486,52852727,53913309,64772437,64772438,257451986,52852720,64772442,52852736,42448490,42448489,52852734,64772432,52852710,42448477,42448476,52852708,42448552,33455358,25683633,19060318,13606960,13606961,19060320,25683635,32847148,41767748,52081375,52852828,63230719,76246020,64772526,64772527,77967300,84330655,84604392,84604393,84604391,71040603,64772503,64772504,77967264,64772481,64772479,70771710,84330636,71040621,58325237,58325238,52852795,42448534,33455350,33455349,257218251,64772502,64772507,64772508,259052593,98237962,84330658,77967293,77967292,91892066,98237958,84330646,70771729,58257307,58257306,70973016,268917204,64772486,77967273,70771798,70771797,84330649,70771732,70771733,70771792,58053459,46678723,36792566,36792567,46678724,257082308,46890212,37011149,37011148,46890211,58053399,46678666,46678653,36792504,36792505,46678655,46678664,256856966,58053366,46958039,46958040,46678662,46678663,58053396,257414495,36792558,36792559,256835171,36792512,46678660,46678706,36792554,28295671,28295670,36792570,46678726,58053460,269304817,36792522,28295642,28295641,36792520,36792583,28295677,21088389,21088356,21088357,269311042,36792490,28295619,21088354,21088355,28295621,36792494,36792557,46678710,58053279,53720803,53720802,257216266,50356334,258024524,43208736,34121717,26256468,26256467,34121715,34121643,34121603,26256374,19537823,19537824,26256378,34121607,43208901,269565919,43209005,34121726,26256474,19537900,19537901,26256478,26256420,26256419,34121647,43208797,34121513,30639821,23216598,16944365,11859077,9467089,9467088,13805339,19173934,19173933,20307812,19173990,13805311,13805310,19307631,25974973,33785591,34122080,26256796,19538168,19538167,14573793,10028374,6590726,4129026,2469934,2469935,4129028,6590734,10028384,14573805,20307867,27237815,35360497,44784203,35360444,35360443,38411511,35360475,35360474,37729859,29169590,21860174,15787699,15787698,21860172,20307845,20307846,27237782,34310349,34310350,41150891,32335725,24719559,256079685,35360435,44784195,55691477,58655121,47263215,37353639,28814731,28814730,254960278,255309610,53270837,42818370,42818373,53270844,61279554,53107760,42655802,33626893,33626894,42655805,35360471,256190810,53270980,42818530,42656120,42656118,50686216,40628171,31913454,24381552,24381553,31913457,40628177,50686203,44784206,44784207,48131844,48131845,51336232,51050582,51050581,62681141,255720522,48130436,48130435,38220428,29654434,29654435,38220430,42655791,33626887,33626888,42655795,44784221,44784222,40908917,32131252,32131253,40908919,42162887,43209362,49434545,49434546,51380927,62681132,75625882,254679314,55268287,44420901,35365993,27242665,20311836,14576779,14576778,20311833,267761748,44790256,49434593,49434592,55697548,55697551,51767511,41495984,32615420,24949762,18434135,13093776,13093777,18434138,24949767,32615427,41381796,32531322,24886603,18387364,13060718,13060719,18387367,15200937,10484634,6912724,6912725,10484637,7494801,4737763,2855440,2855441,2855585,2855584,4738047,7495300,11289160,11190767,11190768,255459119,15118824,10428246,10428244,255377073,21048402,22396139,16237884,11288999,11288998,16237876,22398936,29760636,36745711,36745712,36751053,28255930,21055066,21050913,21050914,28251367,28256005,27968724,20805785,14911109,14911110,20805787,27968728,36427611,28258318,28258317,36753386,36750779,28255559,255377631,15123452,15124335,15119520,15119519,15120084,15120085,21050103,21256101,21049493,15119644,15119643,21049490,28249779,28252792,21052308,15121715,10430044,6876321,4316562,4316563,4316574,4316595,6876390,10430161,10430253,6876449,4316623,4316624,6876455,10430269,15122053,20805721,14911064,10252941,10252940,6877079,4316963,4316962,6877076,10431377,15123724,15667642,14911733,14911732,15124557,10431924,6877388,6877390,10431927,15124565,18081321,12818975,8715766,8715765,12818971,10431478,10431477,15123855,21055163,15124338,10431780,6877303,6877300,10431776 Dl.O(d2) = 59445777,59443516,48053973,48052143,48052145,38141461,29574814,22227600,16093896,255895675,38138863,29572658,29572659,22225853,16092507,16092506,22225851,22227692,29574927,38141599,48052076,48050980,48050982,48052118,48052020,38138796,29572607,22225810,16092472,16092473,22225813,29572613,38138805,38141440,38141439,38138810,29572621,29572622,38138812,48051096,38137843,38137784,38137760,38135905,38135906,32252557,32252556,38141761,48050985,269808303,48052042,38138822,38137372,29571258,22224640,16091479,11176182,268084179,22224642,29571261,38137375,38141436,29574801,22227589,16093885,16093884,22227584,29574795,38139151,38137720,38137718,38139238,29572963,29572964,29571314,22224703,16091534,11176218,11176219,16091537,22224710,22225116,29571615,22224992,22224991,29571609,29571620,268941845,256391835,22227573,22227572,22227559,270503488,255457365,11176491,11176492,16091806,22225002,22225913,16092560,16092558,255080837,11176465,16091773,22224595,255895371,38137311,29571218,22224601,16091451,16091450,22224599,16092637,16092639,22226022,29572866,256391508,22224979,16091787,16091703,16091702,11176722,7415507,4685917,2823411,2823413,4685924,7415178,7415301,254352035,2823273,4685739,7415149,11176159,7415033,7415034,7415791,4686115,4685860,2823364,2823365,4685862,7415445,11176351,7415181,4685637,2823204,2823205,4685642,7415192,7415121,4685586,2823160,1637905,1637904,1637897,1637896,2823144,4685559,7415085,267974073,11176081,7414960,7414963,4686539,254526851,11176429,11176428,11178305,11177849,7416386,4686598,2823908,1638435,1638434,1638658,931814,525214,525213,931813,1638656,254236267,931675,525118,294271,294273,525126,931695,1638452,2425292,2824081,2824083,4686830,4686679,4685019,2823927,1638449,1638451,1638270,931568,525048,525049,931573,1638279,2823715,4686356,7416081,11177503,11177504,11177189,11177187,11177205,11177338,11178426,255080963,11175139,11175138,13067785,255457491,11177309,7415919,4686315,2823685,2823686,4686317,7414978,11176103,16091396,22224536,21859963,21859964,24431760,18018446,18018445,255824875,15787489,10937333,10793604,7131165,7131164,10793602,255415837,22226906,16093404,11177867,11177868,16093409,21859937,21859938,16093002,16093004,15787545,15787546,14334136,14334135,16093371,16093369,20133900,15787680,10937460,10937461,15787684,20014340,14334112,10793610,9933430,6528511,6528510,9933428,7131186,4489400,2697054,2697053,4489395,7131175,10793624,15602169,16089840,11174952,10937383,7414233,4684972,4684970,7236909,4562242,2743635,1590091,1590092,2743640,4562255,7236932,7416663,11178203,14440403,14440401,20133902,255301587,13989575,13989574,19537768,26256292,26256559,19537963,19537961,26256451,34121687,34121631,34121630,271045302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9408944, s2 = 14245111, dlinesl.size( ) = 82 s1 = 13233305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7971516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7922986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646328, s2 = 9479527, int(edited[s2]) = 0 s1 = 11646328, s2 = 9479527, d1 = 9, d2 = 11 Dl.O(d1) = 100768686,114821104,260057838,142080725,154719667,166430073,177014843,186376670,194537813,201528177,207411407,212263108,216227130,213052495,208343399,202634030,195839039,187902922,178800587,261554752,144647200,131424362,117623429,117623430,117623428,103492997,89398613,89398614,75637333,62692880,51063526,51063527,62692881,75637331,89398611,103492996,259786966,109424434,103493002,89398617,75637337,257909686,258530154,259786968 Dl.O(d2) = 84617815,71053419,58337369,258671627,71053420,269311490,46969376,37087846,28583046,21353275,15376826,10625712,254333596,2643694,254333585,7013203,4592782,3584741,2136417,2136418,3584745,5671889,8713212,12815278,18076507,24505114,28550514,256855065,58293993,257691528,98495707,112487458,257108324,90977999,77089212,256052124,58871119,58871118,63404100,51660594,51660593,63404099,55731818,44824310,37584967,29037393,29037392,37584963,47489964,42846582,33805875,25989799,19318877,19318878,25989806,25894928,25894927,33700962,35398904,35398905,41418874,32559630,24908655,24908654,32559628,41418871,42473771,35398991,35398990,44824575,44614757,44614758,55463459,55731922,67804984,55463469,55463467,256207802,35398709,35398710,255734130,35398945,27272471,20336637,14595204,10042848,6599796,4134659,2473354,1429748,813398,813399,1429751,2473361,4134676,6599820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646328, s2 = 9479527, dlinesl.size( ) = 2 s1 = 11646328, s2 = 9479527, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11646328, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 6698576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6698576, s2 = 14845228, int(edited[s2]) = 0 s1 = 6698576, s2 = 14845228, d1 = 2, d2 = 0 Dl.O(d1) = 257484653,29195488,21883398,15807342,267969875,7249617,7301274,4605696,4605692,5084377,4444247,2911302,1688895,960450,541329,541328,960447,1688890,2911296,4493240,2699508,2699507,2700048,1564189,889213,889217,1564106,1652085,939658,939657,1562943,1562940,1563009,1563043,2697832,1610832,1077356,914311,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892392,2774719,1609528,915764,915765,1609533,1873281,1607584,914542,516120,289644,160326,160325,289637,267752037,1607533,267789185,915055,516367,516368,254164049,2752437,3222249,4629352,4489930,2697440,2697441,2771815,1607525,1607524,916467,517090,290133,160581,160582,290135,254122945,254233331,4611872,5294086,3245269,254261746,4627831,2787607,2787608,2787669,1617233,919893,603740,603741,1074662,1883716,2862519,2862520,3224171,3210506,1880350,1072729,602720,602719,603221,1073646,1881928,3212732,3237174,5251728,3208926,1879382,1072195,602449,602309,335437,184437,184438,335422,335552,184514,184516,335587,602584,517070,517071,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783689,2784098,1614863,918469,918468,1614861,2784092,4623372,7322194,11047327,11044908,7319894,4621570,2782963,1614260,918194,517901,290518,160794,160795,290521,517909,918213,1614294,254347869,5252594,3209651,3209652,1879907,1879909,2782881,4621442,4622756,7319808,4621510,2782922,2782923,4621512,7319812,8203497,5274630,3228851,3228850,5274628,5264020,3219091,3219092,267888583,4619174,7317156,8180456,8180457,12150637,12151175,8181190,8181189,8194115,11042810,12118241,12118240,15578044,15578045,12156270,8186599,8186600,8194221,12150671,17271688,16767311,15922135,12163266,8194225,5264057,5264056,7319983,7319985,11039276 Dl.O(d2) = 1918883,1918884,1654971,1654969,2852086,4733431,4737313,5290943,4793898,4793897,7579069,8230732,8214978,5285484,3237829,1899529,1872420,1872419,3198573,3274690,1926160,1926161,3274697,4589650,3244337,3234963,1897687,1083157,1083156,1897682,3234949,5281581,5281580,254837523,8213793,11037601,254582735,3231924,3231923,4489851,7131760,7277865,5463440,5301816,5301817,7637308,4831766,2911499,1689006,1689007,2911501,2752630,2752631,4575250,3229788,3229787,3258376,2752635,2752636,4575256,5249636,3207259,2697400,2697401,1874619,1874618,1091416,1091391,1091392,1878272,1071572,602134,602133,1071563,610242,339463,186363,186362,339426,339429,610149,611115,1088471,1090844,1886437,1076297,1076296,1886433,1885110,1075484,1075485,1885116,1903379,1903378,3243335,3256847,3256846,3217369,1895423,1895418,3231797,5274929,3229136,3229137,267904567,8192718,8203419,5274545,5274544,8203417,7324525,4625489,4625488,3259126,3259127,5308991,8236679,12149597,8179157,8179156,7302036,4606459,2772505,2772507,4606472,7302048,8188762,5258293,4626674,4626675,7325876,5243670,3202307,3202308,5243673,7310894,4614389,2844868,1650473,938632,529078,529077,938629,1650465,2844855,4721830,7471658,7575658,7575657,7574595,7471680,7471678,8188854,5258804,3214550,1883147,1883148,1882760,1074231,603527,336049,184738,184735,336040,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612011,1612010,2778720,4614536,4789117,4789118,7572485,7572699,7572698,11397041,16376042,22552984,29909641,30447926,23040126,16795301,11743431,7840595,4977118,3006616,3006617,4977119,4321255,2584914,254074884,6883731,7488740,11281241,16227959,22386166,29745461,36795535,29442903,28379963,21162493,21162494,28281689,28281688,35181718,36876549,31366780,23872097,21162585,15206135,10488812,6915895,4343959,2600974,1500590,850477,850476,1500588,2600970,4343951,6915887,10488796,15206108,21162531,28281695,21076690,15139642,10441887,10441886,15139638,254127720,36777792,36876504,28379970,21162499,15206069,10488776,10488775,15206068,21090539,21076686,21076685,28281693,28379955,21162483,15206052,10488761,10488760,15206049,21162478,28379817,28298453,21090533,21090534,28298455,29725321,22368814,16214391,11271382,7482199,7482200,11271386,16214393,22368817,28381439,28381438,36795485,28298361,28298363,21983788,15888000,15887999,15109829,15109830,21036220,28233381,36727060,36795447,28298291,28298289,21090483,15149483,15149482,16989331,11904006,7961740,5064667,5064668,7961744,10487796,6915045,6915046,10487800,15204965,21161312,21090236,15149309,10448167,10448170,15149315,21090246,15149374,10448201,10448200,15149371,21090339,28298254,21147521,15194367,10480360,6909911,4339738,2598042,1498725,1498726,1521703,862760,862761,1521704,2635161,4397630,6997578,10605759,15352606,21324418,22428269,16261365,16261363,22428266,29794326,38367046,31693656,31693657,40386877,50421129,48380570,38478364,29919044,22560272,16381360,11400836,10696028,7066276,4449051,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313912,17051342,17051343,23314578,23884101,25459882,22673999,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,255977243,30734579,30735104,39330589,30732382,30732381,23314176,23314175,23315984,17052362,11962502,11961251,8007072,8007071,11961247,17050175,22652983,22652985,30026181,23314219,23314218,30733199,30734992,256478791,39332044,30734002,23314929,17051583,11962012,8007436,5097579,5097581,8007438,268101833,17051510,23314825,23314709,23314710,30733777,39331867,47957056,49257698,47956655,255548656,29479960,29340564,29340565,37909563,38623345,30049585,30049584,23313497,17050620,17050619,23313496,30732340,23313610,23313609,30026200,30026201,30732780,39331047,38243186,29678479,29678478,38243182,48152059,48538126,48538125,48251162,48151903,39329831,39329832,30734705,30734704,29480507,29480504,38043686,46671615,257522063,38243253,29678551,255465199,11247505,16181442,22327308,22327309,170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4088695,30452961,23044655,23044654,23630080,31116511,257050841,61297478,257120333,40786762,50903435,62503886,63281440,51562882,41340501,40405397,256042195,17836009,17836010,24205740,23184375,23184373,17836386,12830352,8723963,8723962,255987788,17251490,255156816,254838097,8161541,8161540,12130535,17245945,16858719,16858718,23118300,23458400,23035092,17248669,16858696,13218626,13218625,18600032,25157362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6698576, s2 = 14845228, dlinesl.size( ) = 2 s1 = 6698576, s2 = 14845228, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6698576, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 9020041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13277347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8516984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8516984, s2 = 10345791, int(edited[s2]) = 0 s1 = 8516984, s2 = 10345791, d1 = 6, d2 = 6 Dl.O(d1) = 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Dl.O(d2) = 261215806,37476925,28935300,28935301,30608401,30608402,36417887,27959905,20798215,20798216,22385352,16227300,11280755,7488395,7488396,11280757,16227304,20798881,14905624,14905623,10248661,10248660,14905640,15032700,15032831,20798563,27960285,28118568,23189429,23189428,20798540,20798541,256267189,38566244,33043149,25315239,18737868,18737869,22830626,22830627,27959954,20798271,14905156,10248324,6733633,4218773,2522349,1453540,822990,822988,1453534,257993113,259243577,260254610,28556996,268611433,23049139,16803564,16803565,13016703,8862593,5776998,3599463,3599464,5777006,8430010,8430011,7938217,5048285,3058313,3058312,5048279,7938206,11809698,7888444,7888443,7888457,5609093,3483467,3483468,5609101,5202313,3173900,1857979,1060305,1060304,1857974,3173886,4826081,2908337,1687201,1687199,2908329,254079900,7725053,7725054,11604490,16635909,254179606,11467421,16458173,267770242,12692171,17914556,22863060,17916062,12693373,254140494,5606362,8622976,8622977,12693282,11467372,7627736,4826045,4826047,4826058,4826060,7627771,7888569,7888570,8622867,8623207,5606512,5606514,8623222,8619948,5604081,4889927,4889925,4889855,2946745,2946746,4889859,5610937,3484992,2069346,2069345,3484968,5610896,5610855,5610856,7725101,11604553,11604817,11604818,7725326,5606373,5393636,5393637,3481288,3481289,5606361,8623044,12693370,8624194,5607349,5607348,8624192,12686848,17908042,24289608,31804196,24305771,254284636,23603457,24289607,24289606,17921908,17921907,24305775,254422860,23380683,23380684,30809102,267993232,23454110,254422866,39492571,49422656,40055110,31821867,24305311,24305312,28371728,21154735,15199311,15199310,21154732,268607677,24305300,17921441,12697751,8626557,8626558,12697755,12697730,12697728,17921405,24305260,24305744,24305745,29782656,22417059,16251768,15971625,11086424,11086426,11086383,10863311,7182386,7182387,10863317,15208037,10490526,10490524,15208026,21164579,23143690,30560682,31814232,24298795,24298794,28371802,36868390,255205308,29034723,29034722,31660527,24150077,24150068,24150067,31660518,40355475,46747656,36868389,28371801,255463332,22077399,255085754,22284456,16141116,11213370,11213371,16141118,22284461,29408021,31808561,37973313,40498175,37971844,37971843,29440755,22107309,22107308,22079405,15973790,15973789,22079402,29409891,254877966,21743038,268005724,37582071,47487303,50555240,40518793,31821844,31821845,29034686,29034687,29440744,255204986,47919278,40518759,255596034,17921336,17909172,12687792,11213376,7440343,7440344,7440323,4701312,2832339,2832340,4701318,7440333,11213365,16141108,11812858,11812857,16141103,15972218,15972217,17782995,15973810,11088468,254422182,11088464,7353692,7353571,7353570,11088321,8538125,8538126,12585736,11086456,7353738,5536098,3421520,2020782,2020781,3421529,4644741,4644742,7353053,7353003,7353002,11086591,7353015,7353014,4645213,4645214,2798209,2798208,4645407,7353994,11088762,15973974,15973889,15973888,15973557,11088216,7353490,4645029,4645028,7353485,11088206,11085964,7353869,4645316,2798157,1623168,1623167,2798023,1623092,922965,922964,1623088,2798011,1644932,1644933,2835458,4645199,2798086,2798085,4645195,5536091,4653270,4653269,7365842,7353033,4644732,2797806,1622966,922909,922910,1622969,1623146,922985,922984,1623139,2798107,4643652,4643651,7351538,7351761,4643819,2797252,2797251,4643815,7351754,11086121,7352402,4644290,2797544,1622802,1622801,2797541,1623162,1623163,2798146,4645296,7353576,7353577,7887940,5009710,3029185,1762546,1762544,3029180,5009705,7887928,11088751,11809022,11086093,11086094,11088516,11088345,11087882,7353209,4644822,2797859,1623015,1623014,1763074,2798125,1623156,1623158,2798132,4645240,4645381,4644465,2797647,1622874,1004204,922722,922721,1622623,1622844,1622825,922840,520262,291668,291667,520255,922830,922743,922744,1622672,2797314,4642165,4642167,4643771,2797219,1622610,1622609,1762542,3029174,5009694,7887915,11809016,11809529,7891499,5012337,5012338,7890269,7887044,7353219,7352427,5011272,3030133,1763072,1763071,3030129,4643870,2797279,2797277,3167919,4642177,4644257,4644259,4642087,2797231,1622617,1622618,2797236,4643793,2797507,1622784,922813,520247,520250,922821,1622794,2797524,4644267,7349390,4641947,2795876,2795878,4641951,4643778,4643777,5009689,5009948,3029304,3029302,5009942,7888300,11809535,8102818,8102817,12051908,17148263,22079614,15974106,11088907,7354132,7354133,5011257,5011258,7285825,4643875,4643876,7351826,11086179,11807847,7886879,254492788,5011560,3030330,3030333,5011563,7890602,11006839,7887765,5009573,3029106,1762503,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,7286037,7286490,7890819,7286571,4595098,4595100,7286580,7286313,7286309,7890665,11812387,10487486,10487485,11006104,15877594,15205283,15205281,15967572,11082969,7349143,7349144,11082972,15967574,15207819,10490316,10490317,15207821,15878034,11808981,7887870,7887869,11083953,11083955,11084820,11808822,11808820,10489741,10489740,11812285,16879009,11808898,11808899,15967881,11083359,11083360,15204994,15204995,15877868,15877869,15877814,15877813,21971554,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210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,5875941,9000225,258379289,261414537,113763605,108757974,94464503,258748694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8516984, s2 = 10345791, dlinesl.size( ) = 2 s1 = 8516984, s2 = 10345791, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8516984, Dl.E( ) = 8, 1.48e-05 seconds used appending s1 = 2392650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8159207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 447356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 447356, s2 = 8187225, int(edited[s2]) = 0 s1 = 447356, s2 = 8187225, d1 = 36, d2 = 23 Dl.O(d1) = 6487452,6487453,9875293,14369378,16584899,17432435,20074878,15718238,10881307,7194251,7194250,10881304,14386117,14389841,9895706,9895704,12302428,12302426,15731227,12144644,12144645,9876681,6488536,4065721,2432989,2432987,4065716,6488523,9876661,7532059,4764645,4764644,7532056,11334647,16291554,15724040,10887462,7199487,7199492,10887468,15718022,10881105,7194091,4532180,4532177,7193307,8174365,5243903,5243904,7194039,4532157,2724306,1578651,1578650,2724301,4532142,4519776,4519779,2728425,2728423,3003126,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9872092,6485331,6485330,6499812,6485304,6485305,9872043,14365366,14385962,255326371,15924640,15924641,17008883,11922744,11922745,17008884,23271284,20038633,14384468,14368390,14368391,9882473,9882474,9874463,9874464,14368305,255739907,9898086,9880717,6491565,6491181,4067303,4067304,6491183,4971802,3003001,3003002,4971805,7832447 Dl.O(d2) = 17172410,23448264,30878888,38279565,48021473,48189005,46898444,37020329,37020330,38070648,257508419,29507056,22166804,16044042,11140208,11140210,16044029,11140204,11140205,16043932,11140153,11140152,16043929,22166605,29506798,37020797,255803254,22166716,22166713,21291767,15325964,15325963,21291765,21031230,21031231,17536311,17536310,23882631,28227680,28227682,36721276,30457943,30457942,36722392,29548885,29548245,29548126,22204554,22204555,29548132,23323707,17058262,17058263,22205300,16075301,15652326,15652325,21692497,22205485,22205484,29548560,22205549,16075528,16075527,16074820,11162485,11162483,16074818,11162843,11162842,16075067,16075069,16074856,11162499,7404162,7404163,11162504,16074869,11162810,11162812,16075384,16075083,16075084,16075032,11162890,11162889,16075503,22205523,29335877,29335876,29548025,29548251,22204684,16074794,16074795,22204690,16075407,16075405,15903933,11162426,7404135,4677530,4677531,7404138,11162432,16074730,22004638,22004637,22205320,16075566,11162959,7404399,4677666,2818006,1634849,929689,524036,524034,929679,1634826,2817958,4677560,254768281,16074954,22204833,22204951,16075021,11162604,11162606,16074792,16074791,15246152,15246151,21213909,21214306,15246443,10518031,255022287,21214302,28439134,29335856,22004630,15903918,11162555,11162554,11162901,7404363,7404362,11025512,11025513,10517942,6936290,4358642,2611488,1507681,854875,854874,1507678,2611483,4358634,6936272,10517904,15246232,21214015,28439368,28439433,28439432,28439175,21213827,15246096,10517818,10517819,10517839,11162564,11162563,16074961,22204891,21213499,15245886,15245889,21213502,255866084,36938661,28439645,28439643,36938580,28439001,21213658,15245977,10517759,10517762,15245920,10517733,6936183,4358584,2611462,2611463,4358590,6936190,10517748,15245950,21213597,28438906,29634642,36938408,36938406,46816401,36938100,28438620,28438619,28439279,36762547,46648131,36938689,36938688,36939103,28439618,28439617,28438809,28438808,36722503,28228782,22204813,16074910,16074911,22204820,28438849,21213551,21213550,22204882,22204884,28438864,28439375,28438993,21213652,15245972,10517756,10517755,15245965,21213466,15245865,10517698,10517696,15245860,21213460,28438700,36938186,46816483,46816798,36938550,28438975,28438976,36938557,38392952,37013269,37013268,36762662,28266816,23227093,19879729,19879728,26700538,34695134,43970398,54714208,43970521,43970522,46892815,46892814,43970458,34695171,34695170,43970456,54714273,58264286,66973394,256852468,58260027,58260028,70975760,59576207,48189857,256722190,58259785,46892742,37013487,28514251,28514252,37013490,37013544,37013546,46892822,58183328,58259805,53719748,53719747,65776738,70831600,58116839,46748134,36868815,28372153,21155085,15199609,15199608,21155081,28372148,36868802,38280484,29713773,22358089,16205884,11265540,11265539,16205879,22358082,29713757,38280458,41898221,41898220,48189766,38280341,38280340,48189762,46748060,36868755,28372118,28372121,256840005,58116763,63546882,51767495,51767496,58116875,46748169,46748168,38323587,29754095,22393506,16233632,11285693,7492443,4735790,2853911,1656158,1656157,2853936,4131795,6595290,10035875,14585332,12003272,8057402,8057400,12003264,17090724,20323825,20323824,27257715,35382988,44807672,35383075,35383076,27257853,20323958,20323957,15493573,10714403,10714405,15493577,21500648,21888544,29201079,23161449,16899929,16899930,23161451,268422884,23450309,30881609,39487524,41935061,40003931,40003929,39347393,39176491,38194691,29627696,29627695,38194685,48106314,59494960,60510525,73257305,60510909,49107290,39177143,39177144,49106606,39176296,39176297,49106608,60510518,60510501,49315251,39387470,39176236,30578450,23326098,23326096,30747627,30747769,30747770,30578501,30578502,39176312,49106630,60510527,60510584,59377198,59377199,60510571,61726231,50247745,257470197,37533297,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299289,31814814,40510827,46477520,46590894,36704025,28212898,28212899,36704003,28212882,28212883,23754722,23754723,31238149,38035734,39460451,39460450,47949327,47949314,46590885,36704010,30855882,23424865,17147446,17147447,23424869,30855889,39460379,46744001,58113727,49388746,39460397,39460396,39460390,39460389,49388731,39913572,31238088,23754683,17428375,12284070,8295906,5351831,5351830,8295901,12284066,17428366,16020290,11123210,7377778,7377780,11123211,11123217,16020300,22136751,29473125,38035898,36703996,36703997,31238147,30855927,23424889,17147455,17147457,23424892,30855932,39460423,30855913,23424881,23424882,30855916,39460427,256828368,73536588,73536594,257089922,49931818,61410085,59340762,47949443,38035890,29473117,22136745,255887771,30855907,256828366,38035888,47949442,49388769,257059347,39913656,49931919,61410580,58623485,49931925,39913660,37547619,29001882,29001881,31238106,23754696,23754695,268419822,256137286,31237981,39913131,37547629,37547628,37321631,37321632,37547633,39913526,39913527,39912887,31237511,23754231,23754230,31237507,257059277,256333663,21521624,21521625,21521684,28785503,31237730,23754390,21521667,17428512,17428513,17428190,12283935,8295830,255169111,11396155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 447356, s2 = 8187225, dlinesl.size( ) = 12 s1 = 983002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9797101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9797101, s2 = 7572967, int(edited[s2]) = 0 s1 = 9797101, s2 = 7572967, d1 = 77, d2 = 55 Dl.O(d1) = 7083317,254910801,3710132,3710131,5933636,9073554,13290959,18683903,18683812,13290891,13290890,268291377,28383741,28378974,21161514,15967539,15207292,15207293,17145610,12049861,8101169,5190228,3166739,1853854,1853855,3166744,4344468,4343483,4343484,4343510,6915302,10488161,10488189,10487602,6914899,4343204,4343200,254492671,4343893,6915771,6916411,6916409,10488471,10488472,10489443,10487967,6915344,4343545,4343544,6915168,6914556,4342924,4342925,6914563,6916817,268067515,21162890,268067529,6917643,255019223,8101004,8101005,12049701,15205532,15205285 Dl.O(d2) = 268246653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646424, s2 = 14089480, int(edited[s2]) = 0 s1 = 11646424, s2 = 14089480, d1 = 11, d2 = 9 Dl.O(d1) = 256446943,22886080,16657345,11624904,7743147,4903195,2955253,1713623,973717,548210,306897,169787,169786,306894,548200,973698,1713588,2955200,4903111,7598877,7482960,7482961,11272489,11619732,11562264,7695058,4869852,4869853,4904323,2956000,1714019,1714018,2955994,3729910,2233117,2233118,1678138,1678137,2891242,4796476,7583215,7743671,6927274,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2232928,1294948,739145,420192,420189,739136,1294924,2232895,3729541,5964211,9115783,7690884,7592437,7592438,7690811,11557253,7731368,4906910,4799132,2892692,2892691,2899957,4811839,7605913,5684298,3535966,2104647,2104646,1680139,1680140,2895228,2428040,1404581,1404579,2428029,2905348,4056196,6472603,9853679,14342510,16142241,11214169,7440831,4701571,4701574,6406660,6406662,6408115,4020260,2409041,1393987,792764,792766,1393993,1394003,2409068,4020315,6408219,9745554,14176007,19791043,14180009,14177281,13340666,9114793,5963627,3729179,2232665,2232668,3729192,5963652,9114834,13340728,13151215,13151214,255584455,26591230,19786080,19786081,17425310,12281880,9743000,6406593,6406594,9743002,14172170,14182973,15822457,15822458,21902207,17425015,17425014,23750680,19800858,18403003,18403002,24907241,32557815,255632411,14552130,14552131,15823033,19801111,15822769,10965167,7257984,4577374,4577373,7257978,10965158,15822736,12567418,10965415,7258127,7258126,7257872,7257873,10964952,14552535,14552533,17761101,17761098,19803764,15822472,14181005,9748820,7257924,6410214,4123324,2466793,2466795,4123330,6581084,7833428,7833430,11732815,15057053,15057051,20966786,28145066,23750937,17425239,12566944,12566945,17759226,24120405,31233750,23750416,23750415,23817683,23817682,30426062,37479493,28937483,21658926,21658925,28937477,24121844,24121843,22062503,21903098,21903100,21902084,15822352,15822351,21902079,21898868,15820277,15820278,21899221,23187142,27209670,20281513,20281512,23187891,21901955,21901952,15946595,15946594,22049854,17759288,12566984,8522092,8522091,12566978,17759281,23186497,20282018,14552733,10964277,10964276,15821274,19800715,26608233,20282538,14553105,14553104,16780230,15162892,15162891,12566915,12566914,16780312,23020703,255884264,26613294,19805016,14186221,14186222,19805019,23318640,27158372,20246619,14528655,9997082,6570251,6570250,9997079,14528652,20246614,27158369,34590436,26603813,23844701,23844700,29280531,21955738,21955739,26601483,26601482,22069168,16602859,16602862,21659756,28938521,30870277,29217697,29028067,29028070,256198181,255313183,9747438,9747437,11772591,16834661,23088380,25318293,25318294,25130101,18577238,13201880,8999905,8999906,9114868,13340798,18740149,25317520,19794831,14178849,14178848,18741017,18741018,23441886,23441915,17167903,12071288,12071287,17167898,18740131,13340791,13340790,18740127,18740510,25317422,23441863,23441862,30870307,25318430,25318431,19795079,19795080,23441946,23441944,30870284,34587868,26601075,19794865,19794867,23216825,30640038,26601028,19794820,19794821,23088372,29527226,25129801,18739662,13340492,9114691,5963564,3729142,3729144,5963576,9114721,13340556,18739777,25317560,32835096,32835097,34587931,30640112,23216871,16944647,16944648,23216875,30640118,26601506,26601507,31707529,24200112,17830908,17830907,24200108,25318119,33046027,255880610,43858303,43858304,39337620,30738955,29683666,22331982,22331981,29683661,31057089,31057088,34660697,33045248,33045247,33045198,25317285,25317288,26604712,19798074,14181202,14181200,19798069,26604703,34591360,43861532,39238328,39238299,39238300,43861559,34591374,30640672,23217284,16944907,16944906,23217282,256470987,49165539,41756464,38279501,29712933,29712934,30213625,22821594,16601636,16601635,22821591,30213620,38797737,48718861,43856699,34585841,26598736,19792639,19792638,268537687,39401178,49329409,269334136,256377666,268630280,41991546,33048092,25319898,18741433,18741431,25319892,29637163,34583903,30257075,30257073,34583929,31626663,31626667,35396945,35396948,40222200,33047831,25319692,25319693,31626685,24121299,24121302,26599819,26592681,26592680,34579872,33302659,30697909,30697910,23691207,22056486,15952760,11071054,11071053,15952755,22056470,28938389,33047935,38841016,39401197,30797986,30797988,37811027,29246330,21926141,15839869,15839870,21926150,26591932,22285507,16141899,11213896,7440666,4701500,4701501,7440671,11213908,16141919,17034124,15840022,10976688,7265313,4581751,4581750,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,792766,1393993,1393903,254312733,6407659,8295086,5351322,3288875,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,13708373,12282390,8294836,5351200,3288822,1934065,1104723,1104722,1934057,3288804,5351170,8294773,12282272,16920558,16920556,14552119,14552121,20281186,27209318,26608826,19801182,19801185,14552163,14552165,20281242,19800616,19800617,15822397,15822090,10964768,7257787,4577286,2753886,2753887,254515767,10964774,15822101,21901682,29215918,29215913,29215914 Dl.O(d2) = 71835419,85422841,99365341,113366648,127224720,140569985,153251250,141706880,128358921,114482307,258798742,72902440,60165767,56730790,56730791,257567236,74239861,87844949,101819121,115865556,129764848,143095301,155646721,167278217,177772331,187046058,195123376,195123375,263185586,207842076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646424, s2 = 14089480, dlinesl.size( ) = 2 s1 = 11646424, s2 = 14089480, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11646424, Dl.E( ) = 12, 1.6e-05 seconds used appending s1 = 14157792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646440, s2 = 7893925, int(edited[s2]) = 0 s1 = 11646440, s2 = 7893925, d1 = 22, d2 = 30 Dl.O(d1) = 7095922,10739785,13077357,8911179,8911180,13077360,18411501,24919640,18411297,13077193,13077194,13077222,267925487,3627346,3627345,5815044,8911074,13077207,254776866,18489227,13135478,268085040,18436748,18436747,18411449,13077325,8911158,8911160,13077326,16528407,11519475,7662852,7662853,4848735,4848736,7663656,7663644,7663643,11520832,16530532,22737464,24953183,24919853,18505252,13147454,8960879,5849068,3650255,3650254,2921762,1694799,963711,543085,543084,963705,1694785,2921732,4848722,7663632,5709216,5709215,8767653,12890979,13077305,8911142,8911141,8754153,5699520,5628850,3497612,2078397,2078396,3497610,3546914,5700179,5700262,5363292,3297091,3297089,254428625,8755237,12735102,8754971,8754970,12739668,12739667,17976765,18154917,18154916,256582051,32190370,32190369,40969938,48802662,48802721,44618163,38636484,38636485,48550884,59943086,58563654,58563652,60199157,256971396,55467246,63282428,51564075,41341949,32494490,32494491,41341952,41341886,32494418,32494417,41341884,51564032,51564095,41341988,40967890,32188219,32188220,40967891,51110208,60198515,48801697,38879488,38879487,48801696,44618118,35236004,30296017,30296018,38881845,41341845,41341844,51563998,51110188,40967868,32188202,24600714,18153187,12872686,12872685,18153186,24600709,20247452,20247451,27159279,22896789,22896788,30295350,38881149,48803221,60199782,72938661,77975064,64780514,52860907,269360261,38881661,38881660,48803673,60200097,52860878,42456835,42456837,48803448,42456926,256146059,25691444,33463672,42456801,52860854,42456874,33463759,33463762,33463835,33463833,38881274,38881275,38881655,48803037,48802613,38880390,30294561,22896039,22896040,24602790,25691431,19067055,13612159,9320848,6105706,6105707,9320849,13612161,9320861,6105714,6105713,9320859,13612181,19067088,25691479,22896903,16666689,16666690,21984083,16667038,16667037,22897008,30295615,25691364,25691365,30293697,30293696,30295158,38880975,38881470,30295665,30295664,30294972,22896380,22896381,25691438,19067060,19067061,22896036,16665970,16665969,22896034,22897071,16666832,11632829,11632830,16666765,16666764,22897012,30295618,22897033,22897034,25691475,25691476,30295079,22896499,22896497,24602794,28686375,28686376,37210698,30295887,22897310,16667046,11633013,11633012,11633004,11633005,16667034,19085888,25714011,30295308,30295307,38881119,43067819,34009966,34009965,38880939,30295121,30295122,22896884,16666674,11632717,7749603,7749605,11632719,16666683,22896562,22896561,30295154,30295591,22896987,19067118,19067119,16666650,268236129,24760824,18284347,18284348,255947939,16665712,16665711,16666622,11632689,7749584 Dl.O(d2) = 49408896,39479518,39479519,34651793,26660289,19845840,14218129,14218130,19845841,26660292,26660159,26660160,34651655,34652386,26660819,19846239,14218387,9774907,9774908,14218390,19846242,26660811,26660810,19846235,14218384,14218358,9774890,9774892,14218365,19846216,26660786,22157657,16036453,15435681,15435680,10739640,7388092,7388093,11138599,16041541,22163406,21097767,21097766,28307457,268911269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646440, s2 = 7893925, dlinesl.size( ) = 2 s1 = 11646440, s2 = 7893925, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11646440, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 14157806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13563367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14157816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157816, s2 = 14162369, int(edited[s2]) = 0 s1 = 14157816, s2 = 14162369, d1 = 5, d2 = 4 Dl.O(d1) = 9370639,255281963,25810023,33608201,33609805,268387281,15549496,10754397,7105067,7105065,7105061,7105062,10754389,7105073,4473228,2687449,267825797,7105075,255042633,255845233,37383696,47292860,256878693,37383658,268924071,28843861,255412619,15549543,10754442,7105094,4473237,2687454,1556690,884996,499318,280009,280010,499320,884998,267787505,7105106,255042641,10754404,10754403,255412607,28843798,256130048,37383752,47292910,58683768,47292888,47292829,257458719,37383693,37383692,28843841,21572289,21572290,28843846,37383748,37383715,28843814,28843813,28843852,21572296,21572297,28843854,37383755,41483917,32605058,24941536,18428047,13089520,254635447,3631304,3631305,5820980,8919853,13089522,18428049,21572267,28843825,37383724,256357972,32605038,41483889,51754151,62219737,58683773,47292895,37383739,37383740,257458729,41483884,32605036,24941519,24941520,268284767,13089517,13089516,256093675,41483906,51754179,63533054,76613062,258552470,71417257,58683776,47292902,37383743,37383744,47292904,58683777,257791736,90471585,76613070,63533058,63533057,76613038,63533033,63533032,52545053,51754169,41483898,32605043,32605042,41483896,51754165,63533031,76613037,90471575,104635234,104635224,90471561,76613025,63533024,51754158,51754157,63533021,76613021,90471555,104635220,260828363,259661048,91339514,105558190,271038940,104635227,90471567,76613030,76613031,86285429,86285428,270663922,85804265,85804264,257791744,257791746,85804255,72209964,72209965,85804256,72209982,72209983,259374565,99758228,99758227,113772294,270518744,85804268,72209981,72209980,77587944,259024645,64265593,64265588,64265587,77415489,72089367,59355852,59355854,256576152,91334203,77415497,64265594,52410272,42066442,33117512,33117511,42066440,48556406,257323366,86285423,86563133,72964187,258323370,257126676,59355863,47964774,47964766,38051604,29487983,29487984,38051608,47964769,59355859,72089373,72686984,59948415,48556410,47024487,47024488,258397735,52410268,52410267,64265584,72089376,258323366,269921708,72964242,257711672,72088406,259365195,258323398,85674734,72088409,256066230,42905494,268705104,65375693,74668442,78886334,65551396,257126726,43046862,257126724,48829378,38907625,268962461,62648557,51022611,51022610,48556404,48556403,256576166,74714639,257092992,40398335,31706447,29487384,29487385,38050939,47964089,51997588,47964082,38050931,29487379,29487381,38050935,47964084,59355065,58238711,53526550,43046868,33988204,33988203,43046866,53526546,65551399,255611068,47964095,38050947,38050948,254287764,41884337,254427288,48071587,48071586,55209063,67552802,60225497,60225498,72964227,73295145,256576154,58871679,47490708,37585911,255428970,51997592,41686217,32769829,256616661,51997594,62648717,51022763,51022762,43046872,33988207,26147349,19449233,19449232,26147346,30320846,38907623,48829374,60225519,64054893,52214768,41884387,32949719,25230368,18661794,13270166,254081740,3701540,3701539,4956508,2992237,1737160,987301,987300,1737227,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,5973043,5973042,6764544,6764546,10290254,14957033,15380367,10628523,254626866 Dl.O(d2) = 254121820,29142775,27021829,20130205,14437625,14437627,20130207,27021832,35107743,37717465,29159630,254512842,15780365,16851370,11784985,11784986,16851371,15774446,15774447,21844582,21846700,29155395,254750410,55338323,44492357,35115418,27028858,20136167,14442051,9934663,8324776,8324777,6414350,4024117,4024116,6414349,9204226,13172620,12324276,9207157,6027739,3771004,2259488,2259487,2415948,1398487,254213193,1272067,1271784,1271785,2191013,1311421,748766,425599,252875,252873,449362,793479,1395227,1411866,1411868,2192299,2249961,2251274,1306374,745636,423599,423598,745632,1306369,2242145,1300193,1300194,1300206,1300207,2242160,2440888,2251340,2251339,3664271,5862494,5999147,8987756,8988735,6508588,4078658,254470853,3663616,254201805,727659,727658,1272971,2192134,1272738,1272739,2192142,2411428,1398441,1398442,254201985,728560,728559,794323,450025,253399,253400,450029,794328,812818,812817,1428854,2415991,2412844,1396594,794636,450264,253570,140201,76668,76669,128819,128818,233600,233610,233611,139896,76416,41521,41520,76407,139875,234488,129412,70156,70155,129408,234481,414995,728894,1274503,1303347,790938,726964,413530,233506,128756,128755,233505,413526,726958,1272013,793724,793723,1274569,2194323,2194169,1274427,1274426,1303337,743620,743621,1303338,1392931,2252296,2252295,2521381,1453000,1428054,812308,460299,460300,793722,746163,424025,239336,132316,132317,239339,424033,746181,1307081,2252299,1421854,808935,458482,451305,451304,464576,261523,261524,464577,822661,808938,808937,464600,464601,746269,451313,451314,796229,812480,746200,424058,424059,746202,791406,1296116,1428592,1428591,254319157,2441774,1418947,1307135,746250,424110,424109,746248,803637,1296118,1296119,1307129,746246,746245,1307126,1397076,1274085,1274086,822710,726186,412926,233078,233076,261563,144970,132287,77049,41942,23155,23157,41948,77065,140776,141146,132572,132571,77492,43326,43327,43369,24070,13440,13439,24068,43364,77396,77353,77300,42107,42106,77294,132165,141263,128297,128298,78071,78069,132701,132700,239974,255181,141308,77418,42189,23291,12954,7138,7137,12950,23284,42178,77402,141282,78651,42954,42953,78648,143262,142477,142479,143960,131125,71144,38504,21189,21190,38506,71147,38951,38952,71815,254073595,23272,12942,7132,7134,6675,3572,3573,6680,12059,21538,21517,21519,254070361,7094,7093,12859,13280,23814,37479,23104,12852,12851,23102,38469,254070449,13572,24264,43643,79656,144819,261362,464375,822432,1452685,2520923,4216432,6729648,10241841,14894645,14894646,20781551,27934150,36378498,42567601,36378426,268898179,53007492,42567577,36378397,36378399,41542139,41542138,51822823,42567618,33550857,33550856,42567582,33550833,33550832,42567580,46209393,57524924,64982224,53007529,53007530,64982250,59225912,47827942,37906206,37906205,47827941,59225909,71964052,59226398,59226399,70402828,57708835,46359647,36501607,36501605,46359644,57708833,70402823,75629798,64612750,52712376,42325256,33344239,31817990,256635962,268005823,11630873,7748264,7748263,11630871,11053942,255406062,11428940,11561378,16581224,16581952,16434524,11449677,7615065,7615063,11449673,268094707,4895072,2950013,1710841,972335,972336,1710843,2950018,4895080,7732307,11612634,11629709,7747024,4905834,2956815,1714496,1714495,2956812,4905827,4864695,4864696,7687897,11554009,15229419,11553882,7687769,4864584,4864583,7686822,4863909,4863910,7686826,9119018,12980780,8836313,5758063,3585805,2137155,2137156,3585810,4807031,4807032,7598893,7741718,9119254,5966936,5966935,9119253,9852518,7593591,7593555,4803379,4803380,2904028,1700812,1700807,2903224,2903226,2906281,1685829,1685828,2906280,4822871,7622686,7606777,4812388,2900255,2900256,4812395,7606793,9852261,6813123,4273395,4273394,6813117,7606522,7606521,4812235,2900180,1682619,1682620,1682737,956898,539271,302232,167331,92091,92092,167338,302246,539298,956941,254241607,4813024,7607879,11441125,16425787,21201092,15235945,10510395,254493861,2608415,1505475,1504241,852689,852688,1504240,2606646,4352334,2608517,1506235,1506236,254223277,1507049,2606282,2606196,1503983,852544,481507,481506,852541,481745,481744,481943,481944,482683,271614,271613,272599,484607,853321,859006,858517,484605,483162,483163,855495,1505098,853249,853248,1505097,2607831,4353907,4362309,4362308,6937396,4359411,4359410,6937394,10519546,15248587,17891224,15316408,10578551,8606211,5592619,3469727,2057591,2057592,3469729,5592622,8606217,12672788,17891210,24270518,31783345,33817926,26000829,19329257,13822176,9479517,9479516,13822175,256165881,25112463,18562653,18562654,21115250,15169260,10461899,10461898,8992554,5871049,3665882,2194132,1274394,728793,414900,234413,129351,254093161,728765,1274342,267809093,254639479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14157816, s2 = 14162369, dlinesl.size( ) = 2 s1 = 14157816, s2 = 14162369, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14157816, Dl.E( ) = 14, 1.12e-05 seconds used appending s1 = 11646480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9752647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9794345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13168517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13168517, s2 = 8146072, int(edited[s2]) = 0 s1 = 13168517, s2 = 8146072, d1 = 16, d2 = 18 Dl.O(d1) = 3061962,5054301,7947643,7171699,7171700,7947665,5054313,5054311,7947659,11887528,16974773,11925948,7979854,7979855,7941898,254167742,16967946,11880836,11090541,7973697,7973698,254131424,7955565,5060544,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3053497,3053501,3058226,3058228,5048136,7937994,11874753,16962861,16955771,11895484,11895483,7997825,7986268,7984573,5081710,5081706,7984564,11931548,16963529,254384746,16987128,14605131,11688962,11688961,16234997,22394929,23246418,16980630,11894062,11894059,16980625,17016752,16995906,16995905,23259045,23269866,30664231,267795754,254385576,11869205,11869204,11883718,16961256,11873209,11873210,16961259,23233921,18561848,18561849,16970705,16970704,16979603,16139495,11211727,11211726,16139493,16989904,16989903,22283575,23249143 Dl.O(d2) = 268216139,255979460,59040800,50695502,40636213,31920492,31920491,257114139,50695512,40636219,31920495,24387765,17988132,12749243,12749244,256056519,37729848,47651746,47844158,37924214,29357912,255444077,11049775,7325108,4625979,4625980,7325109,11049779,15926621,17633965,23980717,29357928,29357929,32175595,255614589,254626523,5696866,8750011,254758747,254346515,1606611,913910,913909,1606609,2770479,4603849,7298957,11024240,15902063,21847123,21847122,23924151,23784817,23784816,26905050,23930086,17588207,17588209,256022553,256182478,12663368,17879657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13168517, s2 = 8146072, dlinesl.size( ) = 2 s1 = 13168517, s2 = 8146072, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13168517, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 1959898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1959898, s2 = 14885341, int(edited[s2]) = 0 s1 = 1959898, s2 = 14885341, d1 = 3, d2 = 0 Dl.O(d1) = 16454445,12509411,8474415,5478218,3371092,1983694,254274477,5478210,8474935,12510075,16454451,11464667,7625731,4824661,4824660,7625728,5478576,3371307,3371306,5478573,3372026,3372027,5479806,8477465,12509449,254863823,8474436,12509451,12510330,8475144,8475143,8000707,8000708,5477889,5477890,8474407,12509402,12509625,8474563,8474562,8475150,5478352,3371174,1983744,1133095,1133096,1983625,1133024,1133023,1983623,1983639,1983641,3370995,5478046,8474670,11249493,7467562,7467564,7467552,5478026,5478024,5478250,5478249,5479789,3372020,3372021,5478614,5478613,8475577,12510917,12511333,8475892,5478829,5478830,8475895,8475908,8475907,8474465,5477923,254604027,8476286,5479092,5478346,5478347,8475141,12510327,8475527,8475160,8475162,12509496,12513521,12513520,17692499,24044854,31542708,24039649,17687834,12509611,12509610,17687832,24039423,24039425,31542712,30779235,30779234,31542918,24039651,24039652,24040497,24040498,31542934,24039660,17687839,268259855,17687812,24039620,26378003,34255345,43355265,53879955,50249056,48174099,48174100,50249079,61727532,73333991,60589550,49189224,39263192,30667524,30667523,31542768,26378030,19644243,14079909,14079908,19644241,26378024,34255369,31263315,23778077,23778076,31263312,39938305,49955390,61433262,61433268,50484270,40447824,39139207,34255372,34255371,43355283,49955648,61433412,61976772,61433359,49955558,40447826,31752673,31752674,40447828,50484272,61963216,61433278,49955417,49308824,39381005,39381006,49308827,60711111,73459379,74212372,61433420,257414342,49955333,39938236,31263250,23778029,23778028,31263246,39938228,40229292,39938292,31263303,31263298,23778070,23778071,31263300,39938286,49955377,39938652,39938654,39938541,31263588,23778324,23778326,31263592,255974722,40447832,268449536,24240852,31752678,40447835,49955654,61433415,61433395,60711121,60711122,73459385,74212416,73459383,61433411,49955646,49955612,49955613,61433388,49955614,39938620,39938619,48152696,49955682,39938713,39938714,268606126,268264434,31752904,256047596,49955319,49955604,255594706,31263349,31263348,31263284,23778052,23778053,24241100,31752920,33315670,25553795,18940968,18940969,25553799,23778492,23778491,23778101,17448047,12299188,12299187,17448015,23778037,23778468,23778469,31263701,23778477,18940954,13504799,13504800,12299360,8306787,8306788,12299364,17448023,23778065,23778018,17447988,17447987,23778015,31263231,39938210,31263330,23778084,17448030,17448029,12651466,8589816,5581547,5581548,8306780,12299350,17448293,23778396,17448345,12299389,8306814,8306815,12299145,8306648,5359535,3294544,3294545,5359538,8306655,12299157,17448005,17448033,17448019,17448018,12299208,8306690,5359560,5359559,8306688,12299199,12299406,12299397,8306819,8306818,12299396,17448329,23778162,17448107,12299240,8306717,5825507,5359648,3294604,1937663,1106784,1106785,1937666,3294611,5359658,8306837,255170623,255266899,13097606,13097607,17448114,12299244,12299243,17448110,23778165,31263427,24241074,17865332,12651451,8589807,8589808,12651453,17865338,24241078,23778489,17448377,12299418,8306832,254846507 Dl.O(d2) = 36468248,46321159,36991559,28494163,28494164,36991563,46870280,57665419,57665343,57665344,46321174,36468263,28009324,28009323,36468261,38010744,29448516,22114928,16002346,15523874,10736393,10736394,15523876,21539876,28806900,37344996,47254407,47254409,58646721,50503184,40467186,31772324,31772325,256046570,24267713,17888880,17888879,17101744,12016074,8074982,8074981,12016073,17101743,23370389,30796834,39399890,47769436,40467340,257101893,39377305,39377304,49305010,60707389,50484217,50484216,50503171,40467177,31772318,31772319,40467179,40472730,39399875,39399874,49328125,60730140,73478399,268218480,60479389,49076338,39399892,30796847,23370399,17101752,12016078,12016079,17101754,23370401,30796851,23627075,17311174,17311173,268435523,49814985,49076327,39146620,30548788,30548789,39146623,49076330,39146629,30548792,30548793,32194307,255615881,18157292,24605941,23130455,18157288,18157290,24605938,31781958,24269247,24269244,31781954,31752575,30794305,23368336,23368335,23368338,17099874,12014035,8072105,5166011,3148240,3148241,5166015,8072114,12014051,17099908,255980839,39397197,49325307,49325224,39396970,30794173,30794171,39396964,39397131,39397130,40425443,40425442,50462980,50507909,50462984,257028021,39397119,49325356,49325206,49325207,50507886,50507887,50484316,40447877,40447876,50484314,50507906,40472573,31777918,31777919,31777862,31777861,40472520,50507880,49325201,49325199,60727356,50507885,40472528,31777897,31777895,40472551,47173171,37267116,28735012,256330321,31777843,24265361,17886784,12669363,12669361,10991606,10991607,15858332,17886789,17886788,12669438,8603803,5590924,5590925,8603807,12644859,8585699,8585697,12644853,17855237,17886826,12669410,8603778,5590910,5590912,8603781,12669416,17886836,24265406,21477795,15475311,10701580,10701581,15475316,17886994,24265604,31777859,31752649,31752651,24265353,24265354,17886844,17863121,12649832,8603967,5591046,5591047,8603970,12669604,12669450,12651222,8589635,5581421,5581422,8589639,12651229,8603747,5590897,3468516,2056706,1179882,1179881,2056702,3468527,5590920,8603797,12669374,8603755,5590900,3468518,2056699,2056700,3468523,5590907,8603771,12669393,254615678,17886872,12669457,8603813,8589642,8589643,12651236,12669423,8603789,254874370,17863164,17886803,17886791,17886792,24240869,254615376,8589681,5581453,5581454,8589684,12651264,8603924,5591011,3468621,2056777,2056778,3463070,2053769,2053768,3463068,5581457,8589690,12649917,8588818,8588819,12649922,17863139,24238225,17887467,17887466,24266110,24226983,24226984,17863197,17863196,24224339,17865046,12651185,254616772,254193738,1178258,2053703,3463005,5581384,5581385,8589600,12651178,12675604,17894889,17863180,12649907,8588812,8588813,12649854,12649852,8604255,5591268,3468794,3468795,5591274,8588808,5580882,5580881,254139816,5593966,5581651,5581650,267849606,8589588,8589587,8603836,8605011,5591800,5591799,8605008,8605692,5592276,3469505,3469506,5592278,8605695,5593918,5593921,8608165,12675578,8608179,5593942,3470551,2058114,2058113,3470546,5593933,5578626,254090804,2052466,3461174,5578627,8585339,12644368,17854610,24226349,30636257,30857400,29697405,22344009,22344010,23972003,23972002,28091236,28091238,30636022,23213165,16941519,16941520,11856979,7924220,7924218,11856972,16941543,23213204,30625392,23202988,23202987,23212987,23212986,21946062,21946064,29268324,23358864,23358863,26038411,19360493,16595617,11574275,8526753,8526752,11574265,16595593,22814001,29484392,22146108,16027198,16027197,22146104,29484387,38047829,47960878,59351456,59351354,268939833,29484032,22145847,16027052,11127858,7380868,4662940,4662941,7380870,255076119,22145866,22344450,16195248,16195247,22344444,20922610,20922612,28097905,30511395,23095898,23095900,29484331,38047780,40233023,31546820,24043239,24043240,26960369,20076711,20076712,26960374,24043264,24043263,31546844,40233039,42419119,33428333,25659947,25659945,31710516,30796763,30796762,37989998,39462350,30857505,23426027,23426028,30857509,31546722,24043168,24043169,24043211,17691016,17691015,24043025,24043085,29698163,22344457,16195252,11257877,11257878,16195260,22344470,29698186,23095919,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141772,24043255,31546814,31547721,40233686,40233030,255939780,25259020,32982302,41922558,52260817,47896553,47896554,40232941,31546707,24043158,22097118,22097117,17690902,17690903,23426032,23426031,25659950,25659949,33428335,31710597,24202952,24202954,30787372,30787371,39389710,40402655,31710564,29698178,29698179,38042400,29479181,22141784,16024140,268082600,7379631,11125958,16024137,22141777,24043243,24043244,31546826,30721178,30721177,39108494,39108470,30511360,23095872,23095874,17691063,12512364,8476576,5479248,5479247,8476554,8476555,12512322,17690894,17690909,12513203,12513204,8573445,5569305,3453179,3453181,5569311,8573456,12627846,17833349,24202923,30787375,24043136,17690966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1959898, s2 = 14885341, dlinesl.size( ) = 2 s1 = 1959898, s2 = 14885341, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1959898, Dl.E( ) = 6, 7.87e-06 seconds used appending s1 = 10210536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7636884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9344757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14157922, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13987173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6774690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6774690, s2 = 15134502, int(edited[s2]) = 0 s1 = 6774690, s2 = 15134502, d1 = 2, d2 = 24 Dl.O(d1) = 258301818,42396371,254285274,17807744,12606587,8555689,5552710,3437241,2033348,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,11555621,9115923,9115920,7695600,4870265,4870261,7695590,11562849,16582544,11563154,7695813,4870417,4870418,4861757,4861756,4866293,4866294,5607416,5607417,8624270,9143594,5983482,5983483,9143597,11430261,16001463,11108826,11108825,16001458,16657560,11625114,11625116,13378590,9144249,7609599,7609600,7691445,4867264,2932907,2932908,4803254,7593383,4903959,4892852,2948599,1710020,1710021,1714440,974124,974126,1714444,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934161,4869306,7694355,6813827,6813828,7618682,10349269,11549637,11549638,16406701,16395722,11616345,11429895,7598619,4806787,2930738,1699865,1699864,2930736,4863624,7686408,9955254,6542942,4099166,4099165,6542941,254979277 Dl.O(d2) = 207082146,201143685,194096537,185873977,176446527,165795053,165795054,176446532,185873982,194096539,201143689,207082149,211982978,215987411,212325448,207483065,201609442,201609441,207483063,207082153,207082152,211982981,215987417,264851710,216281748,212325436,274110655,265226827,224710610,224710611,226775989,265884221,265626176,265275944,216281759,212325446,207483057,207483056,265207319,219303562,265074672,219859802,222591340,224937238,224509786,222104256,219561496,219561495,222331875,224710608,224710616,222331886,219561505,216281754,216281755,265226829,219561504,222331884,219859808,216622683,212717345,264289529,264289531,264818951,212717342,212717343,213966894,217628752,265480841,220684125,274150820,204068341,204068342,274046063,217628760,220684127,223283133,222591347,222591346,222591345,219859814,216622687,264568523,264568521,207940316,202144656,202144657,204068336,263728611,181023019,170906835,262942469,263728613,204068337,209505584,213966900,217628758,220684123,219859816,219859817,217735643,214094352,209659440,207940322,202144660,195249418,195249417,202144659,274014289,195249423,187183167,177918052,177918051,187183165,177918053,273897050,202144669,274014293,202144673,273633980,177918055,177918054,187183171,195249426,202144671,202144655,195249412,187183158,187183159,190168688,181360141,262942470,187183176,177918064,262347611,261298105,116018299,116018300,129918020,143249135,129918034,116018313,101971757,260129067,101971761,101971762,116018317,129918040,143249146,260162662,272264217,116018285,101971729,87997089,74393184,61615800,50135192,50135194,50135199,257658953,74393192,87997102,101971747,101971741,87997095,87997094,260129055,87997114,74393199,61615813,258267877,270905569,101971769,87997119,259514153,259111475,258267873,50135196,268682345,23945813,23945814,31436774,257076273,61615805,74393189,87997098,260129059,261270402,152484175,261813946,261813948,164351861,167047051,168385753,156931585,144533420,131312383,272318717,167428994,155800308,143249152,129918044,129918043,143249151,155800304,156931590,144533422,143249147,143249148,155800303,164351858,152484170,139763317,272528891,144533417,144533416,156931578,156931573,144533414,131312375,117516524,117516525,261355255,260188409,103391649,117516531,261355259,144533412,271928155,117516523,131312373,136160874,136160875,149410709,161701434,168385743,261894081,272651113,161701436,149410711,149410712,161701439,172859011,262795386,168385755,168385756,178704404,168385750,156931583,144533418,131312381,117516529,117516528,261355257,262396815,273193655,156931575,156931574,168385737,156931568,144533408,131312369,117516521,117516522,131312372,122198220,259576148,79242591,269440074,53810032,65878178,79242593,93370610,107792961,122198226,136160883,149410716,262546097,263584214,144533405,144533406,144533409,261358502,107792955,122198218,122198225,107792960,93370608,93370607,107792957,122198222,136160880,149410714,161701443,172859016,182757350,191409055,198854380,264314283,195770734,187821340,262862677,273193653,187821337,195770732,264314281,213017444,265125287,214650968,264315912,263286016,172859013,172859014,182757345,191409053,273819723,264590687,195770729,263283691,178704402,187821336,264007291,208298824,205512097,199277217,273420576,196712678,203358524,208928366,213504706,213017446,208298826,208298827,213017449,265062507,222774797,225098468,227117761,265333014,264922568,264421298,213504704,208928363,203358519,196712675,196712676,203358522,273420578,188948089,179986278,261375780,146068950,146068951,146068952,158435702,165137823,175859473,173544441,162509225,150376853,150376854,262576155,183342584,262084222,175859474,175859475,185362172,193652189,200756796,196712673,188948091,179986281,169803127,260806250,260209294,153326445,153326444,158435705,158435704,261375778,260209292,104846273,119030227,132850326,146068946,158435696,259786148,127300543,113441621,99439560,99439559,104846282,90677663,90677664,104846286,270984684,81098013,81098012,95155621,259593928,75796914,76808267,76808268,90677660,104846276,117363307,117363306,131166445,259158506,119030230,104846280,90677661,76808269,63705853,51898101,51898100,62725848,62725849,269779152,54618808,54618807,66876681,80306325,76808271,63705854,51898102,46998062,46998061,51093665,50882078,40766198,40766199,50882081,51182795,41026221,32233836,28614292,28614291,37125328,41983273,256116811,18735061,18735062,25311934,32233209,32233208,41025614,37125348,28614314,21378489,21378490,28614315,28614317,28614318,37125353,268465373,18180621,256073549,41026227,47012410,256567506,28614312,37125347,47012408,257117350,47012412,256058666,40736885,31987899,31987900,40736887,50842960,62426868,51182801,41026225,41026224,51182798,62832880,71100408,71100409,75326682,75326683,258312378,75796909,75796908,258937058,89579043,89579042,103694549,117848573,131676595,144925287,144925296,131676602,131676601,144925293,157339504,156702090,144277518,131676597,272329177,157339497,164400913,152538526,144277523,260775650,103126330,103126331,117242292,131040217,144277528,156702103,168191261,178548980,187701223,262388936,178548963,187701226,195678392,195678396,187701236,178548974,168191258,156702100,144277525,144277526,156702101,168191260,178548977,187701238,187701239,195678398,195678390,191409034,191409033,191409035,191409023,182757313,172858984,161701406,149410688,149410689,136160857,136160858,149410697,136160861,122198205,107792941,93370585,93370584,107792931,93370580,93370581,107792935,122198197,136160853,149410690,161701409,172858988,182757317,172858994,161701416,161701417,149410701,136160863,271473430,93370588,93370589,93370591,258323776,65878167,258949402,79242570,258949400,257711990,43284966,34188039,26316179,26316178,34188037,43284962,53810011,65878155,65878156,65878157,53810034,43284980,43284981,43284976,43284977,43284968,34188041,26316181,19590825,255713943,34188043,43284972,257858221,79242580,79242576,79242575,93370575,79242598,65878182,53810038,43284983,34188049,26316183,26316182,34188047,269142063,53810025,53810024,259105501,107792938,93370604,259736581,122198210,122198209,107792948,93370598,79242582,65878173,65878174,270968662,261517667,122198199,107792936,107792937,260788770,107792947,260354489,107792953,93370601,93370600,107792951,122198211,122198216,107792954,258835406,269372148,257604978,123676163,137406873,136160866,136160867,149410706,161701430,172859006,172859008,261897150,136160871,262051399,161701414,149410694,262051397,272243212,261250342,262780158,205159788,198854376,191409050,182757336,182757337,182757341,182757340,263643715,187395097,190204271,262364710,160164432,147916372,134797777,121001221,260148884,147916370,261859262,181402951,263260492,195425645,263599822,205159785,198854371,198854372,202292210,264262614,195425641,202292204,264376332,187395102,178167478,167711437,156107655,143572708,262364707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6774690, s2 = 15134502, dlinesl.size( ) = 2 s1 = 6774690, s2 = 15134502, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6774690, Dl.E( ) = 36, 2.6e-05 seconds used appending s1 = 9084899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9084899, s2 = 16306888, int(edited[s2]) = 0 s1 = 9084899, s2 = 16306888, d1 = 0, d2 = 0 Dl.O(d1) = 53327349,42865894,33824886,33824885,33824881,26007348,26007349,33282603,25522429,255264899,9223365,9223366,13482065,18913007,21432979,15439071,10673604,255035673 Dl.O(d2) = 53327349,42865894,33824886,33824885,33824881,26007348,26007349,33282603,25522429,255264899,9223365,9223366,13482065,18913007,21432979,15439071,10673604,255035673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9084899, s2 = 16306888, dlinesl.size( ) = 2 s1 = 9084899, s2 = 16306888, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9084899, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6514202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 745384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 745384, s2 = 14092458, int(edited[s2]) = 0 s1 = 745384, s2 = 14092458, d1 = 32, d2 = 31 Dl.O(d1) = 12790839,12790833,12790832,18043737,23679375,31167724,39849829,268676069,23679412,23679344,17359028,17359029,23679290,17358982,17358981,268299561,18974025,24462813,268123969,8695850,5659962,5659963,8695853,12790808,255606127,18973916,255606121,12790797,8695847,8695846,6070677,6070678,6070707,6070705,9268194,13538706,18973837,23679386,18974166,17359058,12229071,8256827,8256828,12229074,13538819,13538817,18973857,13538728,9268017,9268016,13538724,13538995,18974214,18974205,255673351,13538914,13538915,18974116,17359044,12229064,9268089,9268088,9268135,9268073,9268074,9268051,6070626,3798231,2274993,2274992,3798226,2275002,1319252,752554,427441,427442,752557,1319259,2275020,3798275,6070717,9268213,13538964,9268185,9268186,13538966,18974174,18974095,18974097,25581697,25581696,25581944,25582138,25581776,18973915,13538768,9268041,9268043,13538772,13538871,18974050,16916642,16916643,13538970,13538760,9268038,9268031,9268030,13538749,13538756,9268036,6070616,3798220,2274988,2274987,3798217,6070609,3798260,2275012,2275014,3798264,6070693,9268164,13538930,13538918,9268191,6070704,254655035,13538972,18974181,25582110,33341501,33341336,25581915,18974009,18974010,25581918,25582120,25581732,18973867,13538734,9268020,9268019,13538730,13538720,13538719,18973855,13538955,9268180,9268176,13538947,18974151,25582072,33341460,42322124,42322125,39009831,39009830,33341254,25581842,18973941,18973940,25581839,33341252,42322069,33341220,25581814,255269493,255269495,25581817,33341223,38102522,48013037,257801670,257054229,31167766,31167765,39849869,48012997,38102470,38102468,48012994,51103403,51103404,51103406,51103405,257580098,52709485,51185662,51185661,59400544,72131058,59400554,257210515,33341226,42322079,52709290,55455313,48013039,48013040,257510749,38102489,255892379,22195807,29538987,38102490,44606685,41029271,41029272,41029269,33341474,25582080,18974154,18974153,25582075,33341467,38102466,38102467,48012979,256388443,24595409,24595410,32182424,40961525,35226199,27132230,27132232,256756425,48012932,38102373,38102372,38102500,29538999,29538963,22195795,22195796,29538965,38102462,48012990,44606665,35225788,35225787,44606662,35225821,27131896,20226323,14514130,14514132,20226329,22195801,29538977,35225814,35225815,32236834,24639015,18183147,18183148,24639018,32236838,35226237,35226238,38102381,38102380,38102504,38102437,29538940,22195772,22195773,29538941,35226214,27132243,20226597,14514318,14514317,20226594,27132235,35226196,27132226,27132227,32031666,32031667,40788535,48013005,38102496,29538993,22195814,16067206,11156534,11156533,14514133,20226331,27131909,29538867,22195710,22195711,29538868,29539016,29539017,29539101,38102442,29538946,29538945,37864560,37864561,35225793,27131863,20226289,20226290,27131865,27132249,20226599,20226600,256230827,16067153,11156498,11156497,16067150,22195742,29538905,29539023,22195838,16067220,16067221,22195761,22195754,16067162,11156506,11156507,11156573,7399997,4674806,2816346,2816345,4674802,7399996,11156572,14513758,9986968,9986969,14513760,9987179,9987178,14514075,20226273,27131849,27131342,27131343,27131855,20226283,14514092,254694729,4112229,4112228,267948597,14514298,9987341,9987340,9987334,268049897,14514016,255337795,20226250,27131347,20225888,14513764,9986975 Dl.O(d2) = 34602819,43872865,49357463,39427830,30823549,23395641,17123813,12033784,8089965,8089964,12033781,17123806,23395628,27131358,27131357,35225168,35225150,35225151,44605973,55454610,55225016,44374246,255982656,54615124,268812357,34602821,39427819,39427818,49357446,60760703,54615158,54615159,66872858,54615128,54615129,60760675,60760674,54615092,269613533,60760677,49357454,39427825,39427824,257610795,257029985,30823531,30823530,39427799,49357426,49357466,49357465,41931342,41931343,52270288,54615114,43872848,43872849,54615115,66872847,54615118,43872852,43872853,54615107,43872839,34602802,34602801,43872837,54615102,59400573,48013051,38102531,29539036,29539037,38102533,269337251,72131087,77266434,77266407,64119308,52270247,41931312,41931311,41931349,32990668,25266789,255249457,9083496,268021825,18694985,25266794,32990678,35370244,41931327,32990650,25266774,25266775,22195848,255078601,11156546,255454705,17194887,17194886,23477293,30914056,39524496,49458105,60861079,258215394,64119317,64119316,62745851,51114525,40972358,32192513,32192512,40972356,51114523,49458099,39524489,30914050,25266772,268140377,13301870,18694978,25266770,32990644,40972361,32192516,24604383,24604382,32192515,38102546,256388449,22195850,16067231,16067232,22195854,29539049,33072428,33072429,35370155,35370156,44794944,44795017,44795018,44795014,35370224,27246080,27246083,256765211,44794949,35370161,27246019,27246018,35370159,38102543,35370190,27246043,20314314,20314315,27246046,27246125,35370277,44795069,48013064,38102547,38102548,48013066,52270225,55702668,257932493,55702718,44795033,35370239,27246093,20314346,20314345,27246090,35370237,256238565,20314336,268051147,10031640,14578555,20314334,27246075,35370223,32256247,24656344,18197877,18197876,14578544,10031634,10031635,14578546,254986565,10031630,14578537,20314306,20314331,14578552,14578551,20314328,24656347,24656346,32256252,257137181,55702754,44795088,35370305,255761023,14578593,10031661,254476323,2470851,1428211,1428210,2470848,4130449,6592898,10031637,14578549,20314324,27246064,35370213,257932495,44795059,35370265,27246111,27246110,27246139,35370172,27246027,20314301,20314302,27246031,35370177,44794965,44794976,44795053,268556165,20314353,14578569,10031647,10031646,14578565,14578582,10031653,10031651,14578577,18197880,24656349,32256254,41050106,51206919,55702658,44794955,35370167,27246022,20314299,20314300,256238555,33024293,25297946,25297947,33024295,41967283,35370171,35370170,35370189,27246042,20314311,20314310,27246040,35370184,44794975,55702673,55702738,44795066,35370274,27246122,20314366,20314365,27246118,35370255,35370250,35370248,27246113,20314359,255761021,35370266,44795061,55702735,55702661,44794956,44794957,41967276,33024290,33024291,41967278,52307717,55702656,44794952,35370163,35370164,44794954,257932491,64626198,52726013,52726012,55702663,55702664,51318283,51318284,44795041,41134805,41134802,41134803,35370253,35370252,44795047,55702727,55702639,44794930,35370145,35370144,44794929,52726010,42338927,33357733,25597005,25597006,33357736,42338933,44794934,55702643,55702692,52726040,52336922,52336923,44795001,44795000,44795085,35370298,35370297,33054194,27246009,27246008,35370140,27246003,25596994,25596993,33357726,42338925,33357728,33357715,33357716,33357797,25597052,25597053,25596992,18986854,18986853,25596990,33357723,42338921,44794961,42338975,42338976,255225746,44794928,255225742,25597045,18986887,13549034,13549035,18986889,18986857,13549013,13549014,18986859,25596999,256078898,268013194,33357752,42338946,44357865,34980395,26900913,20018566,254084074,4053612,2426130,1403430,798689,452727,452726,798687,1403429,2426129,4053607,6023535,4054760,4053921,2426364,2425409,2425408,4052479,4054076,2426467,267749126,6469775,6470645,4129987,4129988,4129933,4129934,4129824,4129823,6469071,254204830,13432094,9183568,8986394,8986393,9104061,8986300,5866784,3662752,3662753,5866785,6023294,3768198,3768197,254113258,5999549,9166463,9847180,14334305,14897913,14897912,18553017,13182760,13182761,18553018,18553019,25101474,25108335,25101454,18552957,13182635,8986039,8986041,13182639,14897853,13182821,13182822,14163291,13182679,8986094,5866626,3662659,2191563,2191562,3662654,5866615,8986080,9756866,13176996,13176997,9713119,9713118,13181805,13181804,14897851,13389881,9153797,6021780,3767193,2257120,1309986,1309985,2257117,3767185,5868997,8989310,9105315,5957867,3725926,2230847,1293751,1293748,2230840,3725909,5957845,8985357,5866063,5866065,8985364,8989086,8989087,8999121,13186598,10244019,8989209,8989206,6390223,4010431,4010432,6390226,8982705,6403263,4017506,2407436,1393029,792173,792174,1393032,2407443,3661289,5864444,8982685,13177772,13201985,13201986,9906749,6511130,6511123,6511124,254201846,20089927,25108282,18559065,13187876,13187874,18559062,17699245,12518785,12518786,17699247,12518929,12518930,16036991,12518143,8480754,7385623,4665881,4665880,7385621,11134844,13422877,9197853,6021938,3767308,3767305,3755630,3755627,6005236,254401766,25403644,268143993,2245960,1302727,743207,743208,746176,1307078,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 745384, s2 = 14092458, dlinesl.size( ) = 2 s1 = 745384, s2 = 14092458, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 745384, Dl.E( ) = 34, 3e-05 seconds used appending s1 = 11646728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158008, s2 = 69096, int(edited[s2]) = 0 s1 = 14158008, s2 = 69096, d1 = 15, d2 = 3 Dl.O(d1) = 31165880,23677697,255164215 Dl.O(d2) = 1397632,1397633,2414528,254466371,3427033,3427034,3473375,3379351,1989552,1136823,1136822,1989550,3379347,3405688,254374859,3038132,5020377,7897847,5018933,3433310,3433311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158008, s2 = 69096, dlinesl.size( ) = 2 s1 = 14158008, s2 = 69096, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14158008, Dl.E( ) = 18, 1.31e-05 seconds used appending s1 = 9817687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1577637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 763312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8041106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 29642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7837481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14200563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 95466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 488315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 54976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 54976, s2 = 9071277, int(edited[s2]) = 0 s1 = 54976, s2 = 9071277, d1 = 0, d2 = 0 Dl.O(d1) = 8495596,8494692,5495925,3385899,254275625,1992971,2023974,2023973,3425593,5493818,3383990,3383989,2029329,1161982,652026,652025,1161977,2029318,1993564,1139246,1139248,1993570,3384662,1993454,1993456,1993451,1993452,3384657,5494535,5495724,3385739,3385741,5484966,3780923,2264842,2264839,1992234,1138456,1138453,1992228,1181065,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363035,654681,1166504,2016416,2016417,2021882,2021676,2021677,3422549,3422546,5492586,3382908,2023379,2023382,3424870,5539606,8493155,267914353,3408843,2011223,1764670,1005395,566574,566573,1005390,566948,317521,175545,175546,317528,317556,317553,566996,1006079,1181881,1181880,2010935,1149967,1149969,1707098,2943744,3378382,1988836,1988835,3378379,3441273,2036600,2036602,1990446,1990447,3380538,3438155,254606879,3391802,1998899,1142535,1142537,1142530,1142528,1998885,3391785,5020841,5521893,3408542,2011001,2011002,3387734,1995712,1766059,1006303,1006304,1766061,3034415,3447836,3455878,5571686,8526895,5556647,5492847,3383146,1992392,1992391,1995709,3387728,5497928,5529483,3731968,2234359,1295761,739570,420389,237284,197427,107680,59162,59161,107678,197423,254107499,1158733,254279423,3732054,3375110,3375111,5484132,8483419,8521302,5519911,3406633,2009474,2009475,254608777,3471900,2059314,1181698,1181699,1998970,1142583,640943,355756,194971,194972,355761,640951,1142595,1168162,655627,655624,1168150,2038601,3038388,3038386,3302096,3444015,5014576,3408575,3408576,2044969,1172443,1172442,2044961,1764330,1764329,3032081,5013790,7893063,8290283,5348195,3286828,3286827,5348189,8290278,7896105,5017027,3034990,3034989,3440565,254416891,254416889,8548849,8497777,254419001,2044891,1172400,1172402,2044896,3451519,5490264,3380921,1990747,1137559,1137561,1990754,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,3039248,3471466,3039222,2061854,2061855,2043532,1171440,659225,365405,365402,659215,1174298,1942134,3302089,2021912,1157009,1157010,2021915,3422877,3731953,2234351,1295754,1295753,2234348,254269409,1107879,621719,621720,1107884,254188535,3379006,2037697,1167472,1167471,2037695,1769948,1166357,1166356,2036095,3422404,5536888,3474939,3474938,5329466,3275851,1997575,1997574,2035967,2035981,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1173156,1173154,2046047,3426077,3426078,2732708,1583508,1583507,2732687,4545808,7214928,8538443,8538444,12586058,17783364,255315032,15753132,21819477,21819476,17712857,17712856,24068792,17834003,12628416,8574002,5569926,3453829,254419305,254873453,7900431,7900430,11822027,16893862,19629227,23969232,17619793,12438086,8406651,5424676,5424678,8406658,8525631,12571371,17765076,17110041,12023708,8083600,5179422,5179424,8083609,8574466,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,20900406,24200814,31707834,31707835,40399570,268168544,31707717,40172120,43323026,53847395,52829482,42425248,33432856,33432857,40148327,255692508,17619825,17619824,256025581,24157858,17790686,12592079,12592080,17790691,268163154,8562715,5559794,5559795,8562718,12614617,10910631,10910632,15754359,12447064,8415449,5430968,5430969,8415450,12447068,17626801,17830455,12625445,12625446,14048231,14048233,19605625,14995925,10326538,10326539,14995928,14201964,14201966,19825960,26637587,19825523,254116074,9762618,6418849,4026941,4026942,6418850,9762621,12276326,8290719,8290718,12276324,255556543,31225558,39902306,49921936,61401709,65094801,53107840,42655892,33627008,25825173,19173882,13692098,9377023,9377024,9448954,9448955,13781598,19279279,25942621,33750080,25974996,25974995,33785610,37431936,28890204,254741244,32334961,24718810,24718811,32334965,29053703,29053704,29571071,30163847,22774543,268092823,11542423,16559461,22774541,30163845,38747303,38456388,29899619,22544102,268407581,44398189,44398140,35022752,35022753,44398142,44398137,44398136,257156100,64295252,63716271,51909586,41609469,32705994,32705996,41609473,51909592,63716281,76817037,90685159,104853014,119036722,111846856,111846841,97912562,84041789,70506586,57805387,46449503,46449502,36583848,36583849,36583851,28111423,20934720,15026628,10354457,6818797,4277323,4277324,6818799,10354461,15026634,20934729,28111439,36583876,46449531,46449532,57805415,57805389,256819711,28111436,20934726,20934725,28111435,36583869,44364642,34986759,34986760,44364643,41205904,41205905,41205906,51398686,52065076,44364637,44364636,47751222,37828908,29263281,21941697,15853262,10987452,7273146,7273147,10987454,15853264,21941700,29263288,37828922,47751239,59149789,71887515,258620496,57741306,70435756,68007988,55620051,55620049,47751232,47751233,59149787,257178498,71286047,58554029,58554030,48201774,38292410,38292411,256277050,25278907,25278926,25278928,31779263,40473904,50509212,258016223,258016221,257772318,62589388,62589389,52285914,41945344,33003545,25278807,25278806,18706320,18706319,25278817,33003559,41945356,52285919,46520316,46520317,256628542,41945473,33003653,33003652,28177497,20995893,20995892,28177495,256826573,38896656,30490548,23077191,23077192,29074213,21776231,15716906,15716907,21776234,29074217,22636563,22636564,22636560,22636561,30006686,31556101,29073955,29073956,29074020,29074019,37625017,37624890,37624891,37625145,37624907,37624908,29074102,21776106,15716809,10879964,7193111,7193112,7193154,254340907,267826855,7193150,10880032,15716942,21776192,29074169,37625153,37625230,41644801,37625019,29074023,21776057,15716787,10879951,10879950,15716782,21776052,15716991,10880057,10880056,15716988,21776353,29074355,37625298,37625004,29074115,29074114,37625001,29074001,29074000 Dl.O(d2) = 8495596,8494692,5495925,3385899,254275625,1992971,2023974,2023973,3425593,5493818,3383990,3383989,2029329,1161982,652026,652025,1161977,2029318,1993564,1139246,1139248,1993570,3384662,1993454,1993456,1993451,1993452,3384657,5494535,5495724,3385739,3385741,5484966,3780923,2264842,2264839,1992234,1138456,1138453,1992228,1181065,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363035,654681,1166504,2016416,2016417,2021882,2021676,2021677,3422549,3422546,5492586,3382908,2023379,2023382,3424870,5539606,8493155,267914353,3408843,2011223,1764670,1005395,566574,566573,1005390,566948,317521,175545,175546,317528,317556,317553,566996,1006079,1181881,1181880,2010935,1149967,1149969,1707098,2943744,3378382,1988836,1988835,3378379,3441273,2036600,2036602,1990446,1990447,3380538,3438155,254606879,3391802,1998899,1142535,1142537,1142530,1142528,1998885,3391785,5020841,5521893,3408542,2011001,2011002,3387734,1995712,1766059,1006303,1006304,1766061,3034415,3447836,3455878,5571686,8526895,5556647,5492847,3383146,1992392,1992391,1995709,3387728,5497928,5529483,3731968,2234359,1295761,739570,420389,237284,197427,107680,59162,59161,107678,197423,254107499,1158733,254279423,3732054,3375110,3375111,5484132,8483419,8521302,5519911,3406633,2009474,2009475,254608777,3471900,2059314,1181698,1181699,1998970,1142583,640943,355756,194971,194972,355761,640951,1142595,1168162,655627,655624,1168150,2038601,3038388,3038386,3302096,3444015,5014576,3408575,3408576,2044969,1172443,1172442,2044961,1764330,1764329,3032081,5013790,7893063,8290283,5348195,3286828,3286827,5348189,8290278,7896105,5017027,3034990,3034989,3440565,254416891,254416889,8548849,8497777,254419001,2044891,1172400,1172402,2044896,3451519,5490264,3380921,1990747,1137559,1137561,1990754,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,3039248,3471466,3039222,2061854,2061855,2043532,1171440,659225,365405,365402,659215,1174298,1942134,3302089,2021912,1157009,1157010,2021915,3422877,3731953,2234351,1295754,1295753,2234348,254269409,1107879,621719,621720,1107884,254188535,3379006,2037697,1167472,1167471,2037695,1769948,1166357,1166356,2036095,3422404,5536888,3474939,3474938,5329466,3275851,1997575,1997574,2035967,2035981,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1173156,1173154,2046047,3426077,3426078,2732708,1583508,1583507,2732687,4545808,7214928,8538443,8538444,12586058,17783364,255315032,15753132,21819477,21819476,17712857,17712856,24068792,17834003,12628416,8574002,5569926,3453829,254419305,254873453,7900431,7900430,11822027,16893862,19629227,23969232,17619793,12438086,8406651,5424676,5424678,8406658,8525631,12571371,17765076,17110041,12023708,8083600,5179422,5179424,8083609,8574466,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,20900406,24200814,31707834,31707835,40399570,268168544,31707717,40172120,43323026,53847395,52829482,42425248,33432856,33432857,40148327,255692508,17619825,17619824,256025581,24157858,17790686,12592079,12592080,17790691,268163154,8562715,5559794,5559795,8562718,12614617,10910631,10910632,15754359,12447064,8415449,5430968,5430969,8415450,12447068,17626801,17830455,12625445,12625446,14048231,14048233,19605625,14995925,10326538,10326539,14995928,14201964,14201966,19825960,26637587,19825523,254116074,9762618,6418849,4026941,4026942,6418850,9762621,12276326,8290719,8290718,12276324,255556543,31225558,39902306,49921936,61401709,65094801,53107840,42655892,33627008,25825173,19173882,13692098,9377023,9377024,9448954,9448955,13781598,19279279,25942621,33750080,25974996,25974995,33785610,37431936,28890204,254741244,32334961,24718810,24718811,32334965,29053703,29053704,29571071,30163847,22774543,268092823,11542423,16559461,22774541,30163845,38747303,38456388,29899619,22544102,268407581,44398189,44398140,35022752,35022753,44398142,44398137,44398136,257156100,64295252,63716271,51909586,41609469,32705994,32705996,41609473,51909592,63716281,76817037,90685159,104853014,119036722,111846856,111846841,97912562,84041789,70506586,57805387,46449503,46449502,36583848,36583849,36583851,28111423,20934720,15026628,10354457,6818797,4277323,4277324,6818799,10354461,15026634,20934729,28111439,36583876,46449531,46449532,57805415,57805389,256819711,28111436,20934726,20934725,28111435,36583869,44364642,34986759,34986760,44364643,41205904,41205905,41205906,51398686,52065076,44364637,44364636,47751222,37828908,29263281,21941697,15853262,10987452,7273146,7273147,10987454,15853264,21941700,29263288,37828922,47751239,59149789,71887515,258620496,57741306,70435756,68007988,55620051,55620049,47751232,47751233,59149787,257178498,71286047,58554029,58554030,48201774,38292410,38292411,256277050,25278907,25278926,25278928,31779263,40473904,50509212,258016223,258016221,257772318,62589388,62589389,52285914,41945344,33003545,25278807,25278806,18706320,18706319,25278817,33003559,41945356,52285919,46520316,46520317,256628542,41945473,33003653,33003652,28177497,20995893,20995892,28177495,256826573,38896656,30490548,23077191,23077192,29074213,21776231,15716906,15716907,21776234,29074217,22636563,22636564,22636560,22636561,30006686,31556101,29073955,29073956,29074020,29074019,37625017,37624890,37624891,37625145,37624907,37624908,29074102,21776106,15716809,10879964,7193111,7193112,7193154,254340907,267826855,7193150,10880032,15716942,21776192,29074169,37625153,37625230,41644801,37625019,29074023,21776057,15716787,10879951,10879950,15716782,21776052,15716991,10880057,10880056,15716988,21776353,29074355,37625298,37625004,29074115,29074114,37625001,29074001,29074000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 54976, s2 = 9071277, dlinesl.size( ) = 2 s1 = 54976, s2 = 9071277, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 54976, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13449793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13449793, s2 = 9813200, int(edited[s2]) = 0 s1 = 13449793, s2 = 9813200, d1 = 104, d2 = 103 Dl.O(d1) = 58698344,71430702,58928159,58928160,58470311,47092459,257445531,47107556,58485693,47107573,47107574,58253609,46886645,46886646,58253611,65562842,58698347,58698348,71207431,62210336,50690667,40631723,31916329,31916327,31916328,40631719,40631727,50690651,40631709,31916316,255116440,39207251,30611092,256468881,47323025,37414384,30792828,30792827,39395504,47323114,38677103,38677102,48593605,47323061,37414411,28872756,28872755,37414409,255967873,16924595,16924596,23191436,256337905,21580890,15557304,15557305,21580893,16924609,16924610,268423511,39207204,37400981,28859701,21586130,15561215,10763423,10763422,255413625,28859700,22001517,22001518,29332237,37900891,47312796,47310384,47302799,47302798,37900889,37900888,42936183,37900899,29332250,22001530,15901643,11023940,7298697,7298699,11023945,15901647,22001537,29332239,28858283,21584981,21584969,15560357,15560359,21584972,28858269,37399357,47308743,40025878,37400965,28859681,254648312,10763417,10763416,15561207,21586120,28859677,28858276,21584977,21584978,24485670,32051190,28859595,21586049,21586050,28859597,21586113,255846303,15560360,21584973,21586196,15561270,15561269,21586137,21586139,28859711,28859657,28859656,255413627,15561236,21580874,256337903,28859740,21586171,15561248,10763438,10763439,15561249,21586173,28859744,255258348,21586127,28859694,21586154,15561226,15561225,21586151,28859719,28853149,21580884,15557297,15557298,10763375,7111678,7111680,10763377,15561170,21586060,21586190,18062580,12805750,8707112,5668397,5668398,8707115,255214701,24485675,21586108,15561201,10763409,10763410,15557289,15557288,21580877,21586044,28859592,21586093,15561188,10763392,254505173,4477762,2690370,1558536,886073,886074,1558539,2690374,4477792,7111724,255043421,21586203,28859761,28859659,23608827,17296415,12175001,255160251,21584938,21584937,18062582,18062581,24485672,268387403,15557291,10760774,10760775,15557294,21580882,21580886,15557299,15557300,15560337,10763367,7111671,7111672,4477773,2690365,2690363,4477770,7111699,10763407,15561198,21586101,255640111,13154832,13154833,18514622,15561262,10763448,7111718,7111719,10763450,15561265,21586051,28858285,37399367,37393351,37393350,39770544,31092378,31092379 Dl.O(d2) = 34181363,26309868,19584929,255713569,33549902,25760819,256150789,42566487,33549784,256667793,43277672,257114747,37284790,37284791,42566507,42566486,34181345,26309846,19584913,14031237,9646508,6342529,6342530,9646510,14031239,19584815,19584796,19584794,19120579,19120576,19120575,255272624,19584809,26309708,256150783,19121731,13652520,13652521,19121733,25760793,33549878,42566548,257816893,53006468,42566514,42564294,33547779,25759023,25759022,33547777,42443490,52847752,257857703,44632322,44632321,55482525,67824173,64981146,55482488,256757853,27149563,27149564,35247833,257324095,53802560,65870306,79234211,258454496,75600607,75600606,257923384,52797475,64711278,55482487,44632276,39738198,33450299,25679040,25679039,33450297,33450290,33450291,42443448,52847737,64767497,55482521,55482520,55482519,67824167,65870309,61672948,50188940,50188939,55482624,65044046,53061184,42613409,33589459,33589460,33417015,33417016,42407241,42443480,42443481,40651330,257698327,44632279,35247836,27149568,20239216,14522957,14522956,20239213,27149560,35247830,42443430,33450272,25679019,25679018,33450267,42443426,44632314,35247870,27149591,27149590,33589463,33589464,42613413,53061190,44632333,35247891,27149606,27149607,35247893,44632336,44632357,44632504,257324123,53061182,44478896,35101782,35101781,44478894,52847733,44632213,35247768,27149509,20239183,14522940,14522941,20239185,27149512,27149779,27149769,27149768,22694646,16492621,16492620,256972287,27149581,27149582,27149672,20239275,14522986,9992955,6567590,4114242,2460928,1422571,1422572,2460934,4114252,6567605,9992977,14523028,255338559,9992966,9992965,14523004,20239307,27149689,27149797,21939817,15851570,15851571,21939819,27271188,256757889,35248040,44632455,55482451,55731109,47748689,37826469,29261083,29261084,37826470,257491116,256369012,15851557,10985981,7272050,7272049,10985976,15851550,21939784,27149790,27149791,35247983,44632410,44823522,268733638,33584821,268627938,15851564,15851565,21939812,29261117,37826513,257491127,37826389,29261007,21939721,15851512,15851513,21939725,29261009,37826391,37826426,29261038,21939749,21939750,29261040,37826431,47748650,59147360,269801269,59147364,270313385,71885341,59147333,59147332,71885356,85470007,85470008,258786593,72219100,59481859,59481860,71885347,258724805,85469993,72706754,59969667,59969668,72706757,259464582,48092318,38180587,38180586,48092316,59481856,72219094,84966363,71391542,58656348,58656349,59481953,269809261,59481960,72219222,85813197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13449793, s2 = 9813200, dlinesl.size( ) = 2 s1 = 13449793, s2 = 9813200, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13449793, Dl.E( ) = 106, 4.48e-05 seconds used appending s1 = 7895994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158126, s2 = 8188518, int(edited[s2]) = 0 s1 = 14158126, s2 = 8188518, d1 = 45, d2 = 43 Dl.O(d1) = 31655731,40350238,50384793,49109396,39179931,30582228,24038605,24038607,31541850,39179941,30582239,30582238,39179911,39179912,39437688,48281461,38370110,29797386,22430915,22430919,29797403,38370128,48281478,49365306,49365305,59558084,49366151,49365034,39435891,39435802,30831576,23403375,17130438,12038828,8093536,8093538,12038824,17130427,23403348,30831531,39435757,39435922,30833060,23404391,17131037,12039157,12039156,17131029,23404383,30833047,39435991,30831740,30831739,39435828,39435673,30831469,30831470,39435676,38310310,38310309,48220125,50248046,50248096,40228270,31541901,24038640,24038639,31541899,40228268,39436286,268975443,49365057,39435908,30831668,30831669,39435911,49365043,49365044,49365161,49365160,49365859,39436985,256031436,30833622,30833621,39436300,39436299,49365373,49365637,39436630,39436631,49365640,60768193,73516693,255877858,49365171,60767909,72341282,59606822,48220096,48220095,59606818,48220121,48220122,59606846,50248100,40228278,31541911,24038645,17686931,17686930,24038641,31541903,30831916,23403577,23403576,30831914,39435732,49364873,49365536,44481978,43874925,43874926,37835276,37835275,30831866,23403553,21946930,15857620,15857619,21946924,29269275,30832492,23403957,23403954,23403952,17130755,17130754,23403947,30832472,26616834,26616833,26616817,19807843,19807845,26616821,23403845,17130698,17130697,23403838,23403814,17130688,17130690,23403822,30832204,23403774,23403775,30832211,39436322,30832419,23403916,17130746,17130748,23403925,30832426,39436674,39436999,30832804,30832805,35105317,44481982,41777600,32857006,25150155,18593418,18593419,25150160,25117542,23405046,23405044,30832875,30832876,39436692,30832449,23403935,23403937,30832457,37836617,29270473,29270472,29505035,26616810,23405032,23405033,23405050,23201205,16931748,16931750,23201212,30623250,30832284,30832286,39436541,49365412,39436334,30832075,23403681,17130618,17130619,23403687,30832088,35388963,39437700,36431955,27972998,27972996,30832372,39436616,44813660,47759086,37836646,37836645,32856996,32856995,32857010,35106650,39220605,30623272,23404260,23404259,23404295,30832941,29926620,29926621,38487351,37836620,29270474,22165269,16042898,16042897,12039404,12039405,17131446,16931765,11850277,11850275,16931755,23201222,30623265,30832931,39436352,39437453,30833345,30833344,39437449,37836606,30833254,30832897,27263483,23404908,23404912,30833575,30833573,29270521,21947951,15858385,10991642,10991643,15858391,21947962,23403742,30623255,23404414,17131052,12039165,8093700,5185348,3163492,3163491,5185341,8093684,7435981,7435980,11206823,16132644,16042908,11139458,11139457,16042902,12039144,12039143,14589501,10038961,6597356,4133161,4133160,6597352,10038951,14589490,20329045,23404737,23404736,18918730,18918731,25528500,29270569,21947984,21947982,23404816,17131308,12039326,12039325,10991647,7276255,4588770,4588771,7276259,10991656,15858415,17131147,12039226,8093737,8093736,5185374,3163506,1851874,1851875,3163512,5185382,8093768,11206832,16132656,17131135,23404541,30833157,30833158,256755936,30833630,23404858,17131333,12039334,12039331,17131321,23404577,30833269,27263515,22538865,22538864,29893997,29893914,22538809,22538805,29893904,31103823,31103822,38451252,38451253,47261869,39782664,38451059,38180281,38180280,30833284,23404583,23404585,30833290,39437391,37352280,37352281,47261837,58653599,59736583,48352998,256755934,29894100,38451064,48352996,59736581,59736620,59736621,72471821,72471846,86070012,73516964,60768459,59736511,59736513,72471762,72471774,66844847,66844848,72471848,59736671,59736505,48352877,38450947,38450946,48352874,47622949,47622948,59026073,60768463,72471834,72471768,59736517,59736516,59736565,59736566,48352993,48352992,59736575,71769341,71769342,85359415,94331128,80274580,66844791,54585526,43840813,43840812,54585522,66844786,255724554,43840808,43840807,54585517,66844779,72471844,72471843,269204690,66844842,59026080,59026081,71769332,59026088,54585323,54585324,43840798,43840799,54585506,48352871,48352872,54585496,54585497,59026070,59026067,47622943,47622942,54585498,66844762,59026089,59026090,71769337,72471798,72471797,72471800,86069998,99304559,99304558,94331124,80274572,71769371,66844788,59026120,54585781,43841115,43841112,54585774,59025975,54585513,54585512,66844771,54585670,54585671,54585544,54585543,54585655,47623400,47623401,59026389,65989669,71769418,71769417,71769422,59026283,59026285,66844743,59026178,47623082,37699936,37699934,47623077,47622945,37699798,29139055,21831648,21831649,29139060,37699804,47622871,47622872,59026021,71769310,71769390,71769391,80274569,68091668,55693920,47622932,47622933,47623069,43841126,34569294,26582548,26582544,34569283,37700053,47622839,59025982,54585679,43841001,43841002,54585641,43840970,37700330,29139537,29139536,34295751,43395732,53920914,59027532,59026242,47623166,37700018,37700010 Dl.O(d2) = 269838354,3087816,1803219,1029480,1029477,1020033,574760,574761,575708,1021757,1780690,1030352,1029737,580242,580246,1029751,1021687,1021684,1020216,574857,321755,321757,571435,571434,1013758,1778171,1798978,1026467,578326,578328,1026478,1027378,1021883,1021885,1027366,1800229,1791695,1791696,1569922,1023547,1020285,1020282,1789278,1790549,1026424,578308,578305,1026418,578551,323616,178785,178786,178769,178768,178804,323642,578602,1026921,1799622,1031450,581253,581252,1031446,1806149,1805610,1572617,894140,504445,282861,156226,156227,282866,504455,894160,580917,324865,324864,580913,1030860,1805241,2761841,2761839,4590546,5069567,3073232,3071881,267768963,254103097,322157,575687,1021718,1013814,1013813,254252199,1016295,580715,578712,578711,1027125,1780504,1780505,3055407,3085273,3085272,5042054,3084885,1800738,1800739,3084886,254563361,3069339,3069340,267795402,3052518,3052517,5041736,7930757,254572398,3052021,1802753,1802749,3057767,1797252,1025559,581020,324921,324922,322240,322239,575831,1021950,1791781,3058618,5048643,254571990,11955623,254178642,3092812,1807114,1807113,3092810,5095301,8003494,7984620,5081732,5081730,3082104,3082103,5081727,7984611,11887750,7955252,7955253,5067495,3071412,3071414,5067500,7944748,7944747,5135978,3122967,3122966,5060974,3066201,1787317,1787315,1825388,1041952,1041951,1825385,3091238,5048615,3058599,1782854,1016703,254175101,3058606,5048627,7938689,11875622,11895019,16981460,16959788,16959787,11890390,11875686,11875685,11879526,11879525,16964734,11912001,7983120,5080832,5080833,7983122,11876859,11876861,16964978,16978781,16978782,23245279,23360920,23291834,23259096,16995971,16995969,16985781,16967652,11879600,7941650,5050632,3060028,3057310,3057311,5047066,7936725,7982007,7982006,7960107,5063347,3067841,3067842,5045979,3089201,3089203,3089927,5063293,5063296,5091409,3089782,1804685,1030454,1030455,1787142,1787140,3065871,5060414,7956075,7954168,5059095,5059094,5061073,3066248,3066247,5061066,7957117,11212140,16139884,16038398,11136284,7386585,254350519,927471,522782,522783,927475,1630971,2811381,4666568,7386336,7873422,7873421,11136299,7873457,7873458,11790853,16038553,16003036,11110031,11110030,16003030,16037561,16037562,22082582,22082581,16038190,11136123,7386487,4666448,4666447,7386485,11136119,16038182,16038510,16038509,11136492,7386714,254766361,7873409,11109880,16002820,11110435,11110434,16003613,16003080,11110067,7368536,4654952,2804404,1626876,925102,521473,521474,254165059,2804436,4655189,7368914,255074891,22116681,22447366,22447367,29815277,38387977,40396847,47393789,37486107,37486108,40182990,31498224,31498225,40182992,50205785,49428289,39496986,39496987,49197845,49197844,47926544,47926545,38591859,30019284,22646816,22646815,22115991,16990052,16990051,19452573,13920700,13920699,19452568,24000719,26151044,30675004,25404919,25404920,26150938,22646855,16456053,16456054,22646857,28594842,21868113,15794114,10942678,10942679,13920563,19452389,19452702,22646893,22646894,23573507,17312684,17312683,13920605,13920603,11261029,7475691,7475690,7475532,4724472,2846624,2846623,3925432,2350031,1361394,775943,775940,1361386,2350019,3925409,6269448,9554672,13920591,16199574,16199572,22350075,19452462,19452464,23628726,30675008,29248464,26151147,19452679,19452269,13920490,13920489,16995639,11909942,7966496,7956165,5060478,5060480,7956175,7932778,5077450,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,7936502,7936503,7406066,7406065,11164689,254131332,17012537,15153342,11910297,254167728,11881346,16969305,11910280,7966769,5068683,5068682,7966766,11910276,8069820,8069821,12011849,17098254,16728165,16728164,22958679,16722795,11681146,11681145,16722794,22283991,23237324,17097938,17097937,23268179,17004532,16991307,16991306,16727078,11684349,7791533,7791534,8034734,8034735,7959976,7959977,8044772,5134817,5134816,7983525,5081073,3081767,3075794,1794523,1794522,3075790,5072710,254386092,11908504,11908503,8039751,7965269,7965268,11253726,7939944,7939943,7945858,5060700,3066024,3066023,5051637,254381798,3314725,5390514,8351603,11940687,16991451,11906131,7963554,7780211,4930932,2974400,1726184,1726185,2974402,4930935,5389108,3313810,1949455,1113648,1113649,1949457,3313816,255176347,269467934,44445794,35071347,26987585,26987586,35071350,257087894,39188258,30590680,23172168,20076347,14393929,9900193,9900194,6506940,4077559,4077560,6506942,268996214,26960019,26960022,35039807,39774840,31096724,31096725,39774841,35066293,26982923,20093989,20093988,26982919,35066286,31129097,31129098,36454013,46306900,57651618,64164435,52312963,52312961,64164430,58241481,57677011,46330215,38781606,30197128,30197127,38781603,47529592,44414055,44414056,256900564,268547925,20076354,14393933,9900197,9900196,14393930,20076349,26960010,35039795,38347662,48258197,256970226,48258205,48258206,48258210,59645138,258663689,70958142,59645152,48258227,46873933,46873932,38306028,255908179,22380059,29738189,38306029,46873938,36995215,36995216,46873939,36995262,28497867,21280361,21280360,28497864,36995255,257429413,70958190,84521543,98150309,84256391,70704869,70704870,70704865,70704864,58241474,46873962,36995230,28497845,28497846,36995233,46873965,58241476,70958163,84521532,258019786,70704826,57987558,46611333,36723690,28229911,28229910,36723687,46611332,46611385,36723733,28229943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158126, s2 = 8188518, dlinesl.size( ) = 30 s1 = 14158152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3599444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3599444, s2 = 9506086, int(edited[s2]) = 0 s1 = 3599444, s2 = 9506086, d1 = 4, d2 = 34 Dl.O(d1) = 122965984,108700919,94414017,94414018,108700920,98720765,84793284,71225028,58503522,47125045,37227217,28701058,21448752,15451727,10683566,7057507,5893682,3680932,3008788,2160930,2160928,2160349,2160345,1282843,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283543,1283544,2211045,2986738,2986740,4948637,7803375,11699336,16744044,22981242,30383338,38969549,254879966,50647750,40597909,31889153,24361448,23241074,23241073,30659970,39255815,49181472,60581143,60508222,60508223,73255165,78326854,67792177,67792176,257785728,62015405,62015404,74811765,73324934,73324935,86934895,87011616,85434179,71848512,59110073,47712308,47712307,255595308,99375548,99375549,99375554,89724368,75945430,72586768,59848813,48458138,38545903,38545902,48458136,59848811,72586766,86184506,95259741,109513832,256555492,114177828,100147454,256706894,72586764,86184504,79306829,65942325,255431224,256360340,122278486,128064659,128064658,257267066,128064651,128064641,114177821,100147446,86184498,72586761,72586760,86184496,100147444,256706892,107865155,122278484,128064657,114177830,100147455,100147456,111601382,111601381,256706886,131804459,117976167,255716888,114177820,109513829,95259738,95259737,268526578,114177826,128064649,141430278,141430282,154101493,258479206,141430275,257267070,114177825,128064647,257861750,152294892,150473118,137435644,123705553,123705552,137435643,150473116,257267068,157499900,168964775,257861748,128064655,128064654,141430276,257861746,126189393,112328902,112328900,126189387,138723495,151419202,163298063,154101489,141430273,128064645,128064644,256706888,152294889,139564740,126189389,126189391,139564742,152294891,150531443,137501265,123777154,123777153,111601395,97683371,97683370,111601393,125399970,138723497,271116658,173671931,162650656,150531441,137501274,123777160,109587025,95331928,95331927,109587023,112328896,112328897,114273821,109587014,109587013,123777143,126189403,112328910,98345843,270562984,126189405,123777124,122278496,107865179,259109039,79306888,93437517,269823380,270335942,81272952,67805466,55463890,55463889,258160808,44615156,35233560,257323097,48649100,48649101,58165149,46797782,36919907,28421840,28421839,36919904,46797776,58165140,70879076,70879075,81272941,67805456,55463887,44615147,35233554,35233555,257323093,67805460,55463893,44615154,35233558,35233559,44615155,55463896,67805470,72784492,60045711,257242019,33827414,33827415,257242021,257242014,46797770,36919901,36919902,46797772,58165133,55719194,55719193,68115662,81604359,81272915,81272914,95331916,258451556,70879083,58165138,58165137,70879081,84436328,95329140,81272880,67805413,55463860,44615127,44615128,44615124,44615123,55463856,257922265,81272870,70879077,259171519,81272912,81272888,67805419,55463866,55463865,55463875,67805409,67805408,81272874,95331877,271588944,81272931,258160806,55463883,67805447,67805446,81272926,95331878,270663814,269641198,59938333,72677858,86277593,95331899,95331898,95331891,81272890,67805421,55463867,55463868,67805424,259171517,81272902,95331900,95331896,95331895,109587003,260627468,109587000,95331893,81272892,81272893 Dl.O(d2) = 184669807,262082008,164276595,152402774,139680186,126308082,259156162,98454446,84532869,70970033,58254338,46887511,268337190,254974210,15324898,15324899,16035035,16035037,22155699,22155700,26929765,30724838,35011498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3599444, s2 = 9506086, dlinesl.size( ) = 2 s1 = 3599444, s2 = 9506086, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3599444, Dl.E( ) = 38, 1.29e-05 seconds used appending s1 = 10158797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8026137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8022655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158238, s2 = 9156731, int(edited[s2]) = 0 s1 = 14158238, s2 = 9156731, d1 = 15, d2 = 19 Dl.O(d1) = 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62367,72464327,59728774,48344390,48344389,59728772,72464324,86062359,258862626,86062351,72464320,72464321,86062354,100025381,114052593,127933501,141294725,127933504,127933505,141294731,141294741,127933513,127933510,127933509,141294737,153966658,165740523,166808829,166808828,159224207,146850431,260079916,270358826,77336524,64189523,52339414,42000295,42000294,52339412,64189517,77336520,67875501,55524832,55524833,67875503,81342342,95391515,260413371,123813623,121388300,121388299,259960840,135238073,146850708,137528517,259341972,107090999,95390363,95390364,109632893,95390216,95390215,109632891,123812700,121132339,106864259,106864258,119717889,119717888,133592679,141406137,128037249,128037248,135238070,137528494,123812723,109632914,95390227,95390225,272096863,150552611,262257266,141269734,127909043,114028548,114028549,113595394,259946846,133973666,133973665,141269749,260851660,165714709,153940982,141269743,127909052,114028562,114028563,127470738,113595390,99579421,99579422,105919598,91712000,91712001,105919601,100002001,100001999,114028581,100001992,86039672,86039671,95390244,100001984,86039660,86039662,99579426,85629344,72041341,59305730,59305731,48921298,257579115,73061212,86666666,86039658,72441590,59705481,48318741,257535313,72441585,77784169,77784170,91712004,77784171,70901069,59814999,48429049,38521401,38521400,48429046,59814996,72550196,86148454,100114368,100002007,86039688,72441620,59705500,59705498,72441615,86039681,100001995,86039675,72441608,72441609,258909242,72441599,257677470,59705486,72441601,86039670,99579432,85629354,72041348,59305734,47911342,47911343,59305738,70514064,57812659,57812658,70514061,59705457,59705456,72441548,86039627,99822515,85869695,85869688,257770376,84457619,84049423,84049422,84457618,98367014,112349375,113433572,113837088,109792280,95590257,81556678,68066560,68066561,71899699,59161591,47762956,37840465,37840466,47762958,59161593,70514082,70514084,84049403,70514050,57812653,57812654,70514052,81556666,68066550,55667080,256762073,27203854,268178495,10010262,254984703,20276258,27203851,35328926,44756780,55667071,55667036,55667035,68066511,55667108,44756830,35328977,35328978,44756833,55667114,68066575,64119898,52270784,41931865,41931864,52270782,60168951,60168952,59167018,47768424,37845749,29278560,29278559,37845744,47768413,59167000,55667085,44756797,44756798,52339722,64189766,71022344,59705613,48318857,38408070,38408069,48318864,59705615,72441716,64189396,55667073,55667074,64189400 Dl.O(d2) = 74497687,88109242,102095905,94744248,80666203,67191562,54872109,44071644,34754859,26734881,19899854,19899855,256595281,32397294,41220774,42627627,42627702,33603052,33603051,42627701,53075318,64602518,52701838,42627708,42627709,46882200,46882199,39023562,30434084,30434085,39023564,257001085,39033250,48955308,258127254,60357617,58389639,58389640,71106420,72339184,70965794,58249445,46882285,37003437,28505476,21286533,15322277,15322278,21286539,28505489,37003409,46882242,46882211,46882096,37003319,37003320,28505628,21286607,15322303,10582943,10582942,15322297,21286590,28505597,37003643,44491514,35114642,27028051,27028050,35114639,257912651,70966184,84529403,76452460,70965832,58249480,46882305,46882304,37003727,28505638,28505637,37003634,28505636,28505635,37003721,46882299,46882300,58249376,46882234,37003405,37003404,46882227,41959543,41959541,52300315,51665135,41423046,41423047,51664967,46882564,46882565,58249831,46882573,46882571,58249841,51665358,51665029,41422975,32563109,24911375,18406130,13073785,8908877,5813664,5813667,8908887,13073806,18406175,24911462,32563256,41423223,51665399,51665388,51665387,63408843,76452729,77300998,64152346,64152345,70966159,70966317,58250054,58250055,70966322,72223578,59487497,48098971,40210728,31524723,31524724,40210733,50231710,61711907,74493935,85817101,76452306,63408336,63408338,63408479,58249195,52448974,42096056,42096055,256917976,77480933,72834205,257563573,48701803,60097602,50194675,40170855,40170856,48099703,38187962,38187965,29744236,29744234,38312913,48222805,48222849,59609719,72223412,71907220,59169139,47770342,37847471,37847473,47770347,39163127,38779375,38779374,48701820,60097628,64445285,59609618,48222769,48222770,59609627,53539397,43060109,43060111,53539403,65563924,78898601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158238, s2 = 9156731, dlinesl.size( ) = 2 s1 = 14158238, s2 = 9156731, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14158238, Dl.E( ) = 20, 1.98e-05 seconds used appending s1 = 9800617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9800617, s2 = 11440408, int(edited[s2]) = 0 s1 = 9800617, s2 = 11440408, d1 = 12, d2 = 11 Dl.O(d1) = 4310118,6867337,10417313,11034980,268081127,255880113,268937319,59234512,59572291,48268338,38357685,29785529,22420376,16254907,11301187,7503063,4742910,2858349,2858350,2858424,1658889,1658891,2858427,2858471,2858470,4743125 Dl.O(d2) = 263227567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9800617, s2 = 11440408, dlinesl.size( ) = 2 s1 = 9800617, s2 = 11440408, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9800617, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 7810711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13239721, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 359514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14898761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14898761, s2 = 14663658, int(edited[s2]) = 0 s1 = 14898761, s2 = 14663658, d1 = 54, d2 = 53 Dl.O(d1) = 260604425,141174285,153849782,153849783,153849784,262078778,263023022,201048565,206999980 Dl.O(d2) = 51749662,41480312,268745878,53449791,42975244,33921146,33921147,42975246,256127476,269080148,258403542,132629140,121692825,107311429,107311425,107311426,121692820,135636765,139785648,126411665,112541900,98547721,84623700,71060264,58344048,46974907,256318286,255398526,267962982,10627045,15378491,15374999,10624223,10624224,15375002,21351025,28580519,21471694,21471696,28586127,28586128,37092044,37213166,28688597,21438175,15443149,15443125,15443127,21438138,21438153,28688567,33644680,28552363,28552364,25336539,25336537,25336577,25336576,33066095,33644689,25841319,19187556,19187543,13703258,13703257,11514555,10696337,7066482,4449145,4449144,7066477,10696325,15469202,21355492,15378501,15378500,21355486,21351053,15375027,10624240,7012006,7012005,10624233,12354990,17520416,23864690,31358646,40038621,32751878,32751877,28688604,21438183,15443152,10676732,7052179,7052178,10676725,15443141,21438165,26143109,19445948,13915393,9550692,6266636,6266635,9550694,255297069,255705763,33982844,43040331,53518619,65542527,78877549,92989094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14898761, s2 = 14663658, dlinesl.size( ) = 2 s1 = 14898761, s2 = 14663658, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14898761, Dl.E( ) = 58, 2.19e-05 seconds used appending s1 = 9815289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8038721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6569194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13765741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158410, s2 = 8007779, int(edited[s2]) = 0 s1 = 14158410, s2 = 8007779, d1 = 16, d2 = 2 Dl.O(d1) = 22743003,16535137,16535136,16535376,16535375,11525153,11525151,16535557,11524976,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532734,22739659,16532112,11521960,11521959,16532111,11522461,7664865,7664866,11522464,11524315,7666311,4850644,2922992,2922991,4850641,7665938,4850350,2922777,2922776,4850347,4851668,4851143,4851144,7664982,4851266,4851267,2923709,1696024,964419,964418,1696017,2923327,1695772,1695773,2923333,4849703,7664952,4850098,2922596,1695288,1695285,2922589,2922256,2922257,1695474,1695473,2922853,2922937,4850577,7666239,4851685,4851686,7666315,7666260,4850601,2922952,2922951,1696012,1696013,2923693,4851604,3048814,1776199,1012714,570838,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,21547660,28816499,30623349,29581195,22233547,16098678,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597,11130111,7382731,7382733,11130120,16029620,11851375,7920977,7920978,11851377,16933362,23203356,17111062,16102101,16102099,16144239,16245708,16933249,16933247,22286170,23203413,23203274,16933302,16933300,21536297,22233078,23203475,16933461,11851447,11851446,16933217,11851276,7920930,7920933,11851299,16933244,23202579,23202613,254765984,255451464,38204525,268632126,38050590,38050591,255076250,29637867,30625658,37340828,39222703,255888538,29772600,29772553,22408985,21536356,15521258,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832847,4702317,4740242,2856788,1657969,943365,254167361,2856797,4740253,7498877,254498934,255397992,11294086,11294087,16143640,16143642,255461797,11215225,7441501,4701963,4701964,7441506,11215232,15573785,15573783,21601138,18974921,18974920,22742640,16536486,11525698,7667570,4851664,4851663,7665883,11523915,11525716,11523868,7665837,7665839,7665873,4850281,4850279,7665867,11523903,16534441,16534320,16534319,22742043,16534188,16531454,16531455,22738666,30120868,30126186,30126185,30124805,22742375,16534576,16534577,22742379,30121095,38697963,38697842,38697840,30126124,30126123,30121093,22738893,16531613,16531614,22738895,22738532,22738531,30120709,38697631,30125724,30125725,30126995,30120962,30120964,22743647,16535717,16535719,22738849,22738848,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524910,16535499,16536478,11525681,7667520,7667519,11525680,16536476,22743347,16535492,16535491,22743345,30125767,38256339,38697900,30121025,22738829,22738830,30121027,38697903,38702497,38702495,47440764,37532667,28987878,28987880,37532674,30126149,30126147,22744538,22744537,22743331,22743330,30125744,38697438,30120538,30120539,38697439,48613149,60004211,60006784,57997950,57997951,257666008,70706567,268997320,46621700,36733561,28238883,28238881,30120592,30120892,38697780,36733536,28238866,21040389,21040390,28238875,36733551,256029672,46621611,36733489,28238840,23377609,17107820,15112866,254602982,28238896,36733585,46621746,46621849,46621848,57989476,46613308,36725758,36725757,46613303,57989468,57997945,46621845,36733675,28238933,28238932,36733669,46621867,50254692,50254693,42172145,42172144,52530085,53769561,43253370,43253369,53769560,48131022,48131021,59518297,258129905,59908720,256968683,38600835,48515537,50576713,40540366,31842149,31842150,32807450,41727785,52042793,60563265,50899501,40782816,40782815,257590674,38035383,40540347,37278425,37278424,32026616,24464674,18045233,12792071,8696797,8696798,12792075,18045239,24464680,25105455,32807574,25105422,25105424,254882830,18556426,13185463,13185462,18556347,18556229,13185332,8988055,8988053,8987811,7073858,7073859,10707507,15484343,21489847,25106077,25106078,19638949,19638951,15484380,10707522,7073864,7073862,10707514,13069134,8905671,8905668,13069126,256090871,24322265,24322266,25104692,19572893,19572892,18555715,13184933,13184934,18555717,257762787,76973557,90852150,105031362,106681225,92377978,92377977,106681223,120933069,106681229,92377980,78345602,65066753,65066749,65066750,65066756,53083998,42635740,33609990,25811329,19162966,13683904,9371048,254937977,19162964,25811327,33609986,42635734,42635747,33609998,25811334,19162969,13683907,13683906,19162968,25811332,33609994,42635744,53084003,257566110,44661507,257925255,55522690,257925253,64437691,64437690,52562513,42202540,42202539,35268097,35268096,44661504,269505081,77606695,64437684,64437685,59430909,48038822,38125600,29560122,22214761,16083186,11169465,11169464,16083184,22214758,29560117,38125599,48038821,59430905,72169430,72169440,85763634,99717695,100369922,86413867,86413866,84981374,71407343,58673129,268948844,38522457,29957401,255424292,11425707,7595012,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478117,16473821,22511352,19495889,13954896,9581838,6289744,6289745,9581841,13954905,13408741,13408742,15688379,21733690,15685430,10858654,7178950,4522326,2718179,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464 Dl.O(d2) = 21010772,15090324,10407802,6860671,4305708,2574532,2574533,4305709,6860673,10407806,15090332,12634648,8578552,8578551,12634644,10743531,10743532,15534591,20202932,18059279,13121826,8943690,5838289,5838290,8943695,11291559,7496910,7496909,11291555,16241458,20202158,14495994,9974300,9974299,14495962,9974283,6555403,4106743,2456456,1419989,1419990,2456460,4106620,6555211,6555595,9974547,14496303,14495769,9974135,6555290,6555291,9974142,11954030,8002348,5094519,5094518,6555183,4106603,4106605,5692178,8743405,9974838,6555816,4106994,4106992,6555796,9974806,14496630,254892514,9974853,14496688,20202995,21593719,17603717,17603714,18639650,18647086,13259040,13259036,13246479,13246483,18631717,14205526,9765491,6420707,6420708,8337327,12340813,17501707,18655595,14205990,9765808,6420936,4028237,4028236,6420850,5322396,5322398,8250629,12220558,17347634,12940316,8803452,5734507,5734504,8803437,12940286,18242792,12998673,8849745,8849744,12998654,12998652,13771744,19267334,22997886,22997885,19831600,17365277,17365276,14004503,13836506,9490648,6555267,4106662,4106661,6555265,4106917,2456556,1420047,1420046,1420031,807818,807819,1420033,2456537,4106889,4106599,2456375,2456372,4106592,6555172,6555331,6555332,9974192,14495838,20201969,27101723,256753529,55416048,54642717,43899672,256220812,19825479,14201495,14201494,19825474,26637522,24567664,18127422,18127423,24567668,27102817,35191474,35190328,35190329,35191414,35191413,41123500,51306184,55416846,54642704,54642705,44568406,44568405,55415728,255330216,55416559,51306187,50402274,50402275,50402283,50402260,40366817,31672085,26637551,26637550,34627414,43899688,44569613,55416849,50402278,40366838,40366839,50402281,59390290,48001822,38090312,38090311,47935913,48001825,38090369,256929745,47935910,256922988,29460230,38022198,47935912,40366810,31672072,256546035,38090170,29526749,24162313,17794731,12595559,12595558,16057639,22184469,22184470,22184576,22184575,29526785,38090217,29526690,268632897,255453805,11149540,11149539,16057668,16057741,22184610,268400517,16057569,16057570,22184456,29526656,256387445,22184543,16057664,16057663,22184541,29526747,38090286,29526798,22184620,16057750,16057748,22184553,29526757,29526770,22184565,16057693,16057617,11149494,11149495,11149609,7395114,7395113,11149479,7395027,7395029,11149486,16057607,11149508,7395041,4671767,2814602,1632907,254123573,523387,928598,1632911,2814613,4671786,7395072,11149548,7395121,254767205,7394947,4671829,2814638,1632922,254123575,523389,254165419,2814628,4671814,7394952,6555720,6555719,9974688,14496463,11149396,11149397,16057511,16057847,16057538,255453781,16057651,11149527,11149528,11149423,11149422,7395213,7394961,7394960,7394965,4671727,4671728,7394967,4671933,4671932,4671885,2814670,2814669,4671883,7395209,11149715,11149374,11149373,11149859,11149648,7395146,4671832,4671833,7395148,7395156,7395320,7395321,7394985,7394983,11149401,16057517,16057692,11149565,7395086,7395087,268924128,1632936,928607,523392,293332,254099769,928603,1632926,2814643,4671837,7395152,11149651,16057687,255453809,22184698,29526940,22185031,16058072,11149888,11149889,16058074,16057534,11149412,11149411,16057532,255891177,16057799,11149901,7395329,7395328,11149900,11149560,7395083,4671795,2814618,2814619,267889891,4671855,2814653,1632930,1632931,2814656,4671860,267973445,16057822,22184641,16057775,16057774,22184639,22184648,29526877,29526974,256929767,29526605,22184413,16057530,11149410,11149409,16057528,22184409,29526583,38090091,29526999,22184739,16057834,11149694,7395181,7395182,11149695,16057836,22184746,29527006,38090562,48001729,38090200,29526905,29526906,24933969,18422257,18422256,22184666,16058052,11149877,7395311,7395310,11149874,16058045,22184995,29527299,38090843,38090096,38090097,48001641,48002356,38090890,29527333,22185021,22185020,29527332,38090888,38577628,30006724,256424085,48490879,48001722,38090194,29526670,22184466,256387433,29526671,29526673,38090199,38090894,29527336,255453853,16058066,22185026,29527341,38090883,29527329,29527330,38090873,48002382,59390439,48001983,48001984,39248076,257016667,38090877,29527326,22185016,22185017,29527328,38090881,48002379,38090867,38090866,48002376,48490877,38577626,38577625,48002395,256929729,38090210,39248102,39248101,38090849,38090850,48002363,39248111,39248112,38090577,268702136,29527027,28600193,21366986,21366985,28600191,37108803,46994011,58364081,49173277,49173276,60572165,49173285,49173284,49173297,39248126,30652288,23230869,16958125,11870295,11870294,16958121,23230864,30652281,39248118,49173290,49173302,48001734,38090206,38090208,38090897,38090898,48002403,39248091,39248092,49173273,41194593,41194592,51385380,59882414,48490875,44605977,36692536,28202455,28202456,36692540,39927358,31251945,23767520,17439534,12293152,12293151,17439532,23767517,25476112,22649547,22649546,30022449,38595118,44622882,35240091,27143670,20235142,14520283,9991213,9991212,12044362,17138225,23413735,30843626,267983752,52522196,49791764,39772018,31093785,31093786,39181354,33550903,33550904,42567663,48364050,38469390,29911602,29911601,29803775,29803776,29911611,28239801,28239800,36734738,30583740,23165834,16903137,16903136,23165832,26957330,35037306,28239520,21040877,21040878,28239526,29262660,21941202,21941204,15852876,15852877,21941222,22947837,16711274,16711273,22947835,19295084,13795315,13795316,19295085,25960033,21900022,21900021,29214223,22639013,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542360,31023588,38579903,30008523,22637933,16449442,11461265,7623487,4823370,4823368,7623478,11461245,16449402,255926215,38579822,35125271,27038154,20145247,20145246,27038152,27960830,20799016,14905712,14905711,20799014,27960807,36418815,29148936,22057487,15953493,11071562,11071561,15953491,22003947,15903388,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,11952425,11952423,17038590,21071316,15135775,255378561,268605747,46654526,52852546,42448256,33455129,25683477,25683476,28259561,28242338,21043457,21043459,18050811,16131823,16131822,20140758,20140759,16770321,11724735,11724734,16770320,23009445,254959276,30349791,22948166,22948165,30349789,28071798,20900267,14995848,255004925,10343100,14479048,14479049,20180622,27077245,268661759,48224322,254170366,254170368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158410, s2 = 8007779, dlinesl.size( ) = 12 s1 = 8023361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14529913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14529913, s2 = 7985190, int(edited[s2]) = 0 s1 = 14529913, s2 = 7985190, d1 = 43, d2 = 54 Dl.O(d1) = 15178293,10468484,6900989 Dl.O(d2) = 11182135,15576855,10775058,7119396,7119395,254740415,254833162,8992020,5870748,5870565,3665613,3665616,5870571,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153571,3850272,3850270,6153588,9393052,13713861,13189978,13189977,254823328,23247174,16981971,11895663,7954541,7954542,11895664,16470776,254571276,13409565,11676947,7796938,4944264,4944265,2983969,2983964,4938268,7788802,11680554,16722176,22283612,16139788,11212048,254257556,267837379,3082146,5081812,254380940,11865985,11865984,16953568,16954636,11878789,11878788,254821770,11253450,8185219,5254652,5254651,8185216,8354113,5392265,3315768,1950527,1950525,3315764,5392256,8349524,8349523,254569436,5390369,5390370,255176557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8085053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8085053, s2 = 2649476, int(edited[s2]) = 0 s1 = 8085053, s2 = 2649476, d1 = 85, d2 = 90 Dl.O(d1) = 39264522,30668787,255525606,7962791,5065516,4516525,4516526,5045998,5065518,5065517,4516997,3083544,1799585,1799584,3083541,3055492,1780584,1780583,1782389,2713281,1571772,893626,893625,579465,579464,1028367,1571823,1571824,1032131,581694,581695,1032138,1807099,254380239,5064805,7169339,5094714,3092397,1806801,1789512,1020435,574981,574982,1020436,1789514,3069375,5065076,4515753,3085139,1800938,1027835,1027833,1800933,3067292,3067291,2713404,1571856,1571857,2713405,4515656,3071263,1790963,1790962,1021408,575541,322090,322091,575544,1021416,1024292,577191,577190,1024290,1788115,1795136,1024210,1024211,1795140,3076604,5073648,7938327,5063473,5063472,7960284,10958077,7253159,5084185,5067353,5067354,5095113,5094242,5041121,5041120,5088108,3092005,3070774,1802687,1029106,579864,324305,179153,179152,324299,579854,1029087,1789431,1789430,2714891,2715158,1794811,1023977,576991,322840,179089,179087,323164,178581,178583,322872,577067,577353,1024582,1795733,1801744,1801743,3085993,5086662,7967513,7967514,7966081,7950305,5056376,3063334,1785710,1785709,3063333,5056374,3072338,3072337,5068546,7936978,5047245,3064889,1786579,1786578,3062688,1785300,1018034,1018033,1785296,3057539,1786537,1786539,1785810,1785812,3063502,1794386,1023722,1023721,1031894,1031895,1806762,3052801,1778527,1778528,3052804,3057202,5046910,7936579,254378803,1796344,1024953,577543,577542,1024952,1796342,3063352,3069247,3065846,3065845,3092506,5094858,7991410,7991411,11888417,15666700,11924775,7986285,5082746,5082747,7984557,11931538,267903304,254357254,7169717,7169716,7972866,5073394,3076367,3076366,5073393,7972864,10845514,7169715,254534786,7950316,7950315,11890539,15654262,254570146,254400657,1937980,1938356,3295720,5361170,254842047,8256990,5326769,5326768,8256987,12229282,12237871,8263576,8263577,8266712,254283604,18647764,13259551,13259550,18647762,25212954,32929065,37833892,29267749,21945525,15856583,10990385,10990384,15856581,21945519,21933417,15845876,10981325,10981324,10981331,7268666,7268665,10981357,15845905,21933454,29254523,28932461,28932460,22370817,16216073,16216074,22370820,17903240,17903239,24283949,31797848,28954825,28954826,37497427,47404905,47404904,47744045,54584360,43839458,34567776,34567775,38017340,29455114,25776108,25776107,33565650,254148868,29267744,37822039,31597107,31597108,26581453,255683762,43839463,54584364,64854070,58702690,58702693,48388651,46280282,37822037,29257058,29257056,268029498,47757310,255278426,31702582,31702581,37834782,37834783,47757311,48021139,38111164,29547992,22204390,16074561,11162322,11162323,11162328,11162307,7404063,7404064,11162312,15848699,21936350,21945657,21945658,29267882,37834022,30222499,30222498,38805922,48726591,60121515,59321380,47929089,38014898,29452740,29452741,29925232,22565429,16385333,11403959,11403958,16385330,22565425,18960554,13524620,13524619,18960550,25570250,33330169,29268662,29268663,37834792,33518062,25738579,25738578,29257053,21936344,21936342,29257050,22204368,16074540,16074541,22204133,16074548,16074549,21936349,16385348,16385347,256416859,39318850,255498184,17042715,17042714,23303147,29257046,254170102,37907186,37819765,29254407,21948969,254797142,255498178,17377474,23699585,22313846,16168482,11236117,7457160,7457161,11236119,12580597,254212362,2017258,1154032,1154031,2017254,3417017,2839013,1646886,936420,936419,1646883,2031517,1645986,1645988,2836629,2836762,4709018,7453084,7451704,7451703,11230040,7453253,254773299,255463829,11232428,11232430,255463883,23739299,22310924,16164326,16164327,22310925,16164965,11232237,7453541,4709315,4709313,7453538,11232228,12522576,8484289,5484893,3375767,3375766,5484891,6047171,9233513,13496314,12640027,12640026,255262195,12274218,8289039,8289038,12274210,12614986,8563031,8563028,11818851,8531332,8531334,8527924,8494835,8494833,5563874,3447514,2041465,2041463,3447507,5529476,8531398,8928380,8536593,5534572,5534570,7898088,5494012,5494010,5553002,5487959,3378648,1989039,1706878,1706881,1989022,2943486,2943485,4884917,7453563,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,2061171,2061169,2061157,2061156,3474318,5597835,7456696,4711658,4711657,6014684,3762039,2253741,2253740,3762033,6014669,5505633,5505632,8505241,5529462,5529461,8531377,8484461,5485103,5485102,5485089,5485090,8484453,8505390,5505766,3394457,2000665,2000666,3383467,3383466,5493195,3417963,2017996,2017997,3417968,5532402,5487300,5487299,8486442,8483654,8483653,8492602,254611085,5539680,8484048,8484046,5534744,3420312,3400525,3400526,5513424,5552309,3438717,2034468,2034469,2003440,1145254,1145253,2003435,3398158,5509748,254870545,5542016,5542017,5522853,3409500,2011727,1150496,1150497,2011730,2003109,254137405 Dl.O(d2) = 257097253,24203645,256549031,50437564,61928104,74721721,74721744,257680639,257680637,74721742,88349771,102345976,116439079,116439073,102345970,88349764,88349757,74721729,61928108,50437566,40403548,40403549,31711412,24203647,256042023,40403552,257680635,74721733,88349763,260151327,102345974,88349767,74721740,61928115,61928114,74721738,88349766,102345973,260151323,88349751,74721732,74721731 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158464, s2 = 9351134, int(edited[s2]) = 0 s1 = 14158464, s2 = 9351134, d1 = 0, d2 = 0 Dl.O(d1) = 59090657,71830830,85418572,85068365,71495949,71495950,58766197,47378939,37471834,28930472,28930471,268925879,58766191,50616412,50616413,62115752,62116447,50616992,40574477,40574475,47379087,46813489,36935222,28436264,255147814,15244543,15244542,21211605,28436262,36935220,268663968 Dl.O(d2) = 59090657,71830830,85418572,85068365,71495949,71495950,58766197,47378939,37471834,28930472,28930471,268925879,58766191,50616412,50616413,62115752,62116447,50616992,40574477,40574475,47379087,46813489,36935222,28436264,255147814,15244543,15244542,21211605,28436262,36935220,268663968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158464, s2 = 9351134, dlinesl.size( ) = 2 s1 = 14158464, s2 = 9351134, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14158464, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1812002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8080943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 158464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 158464, s2 = 14091773, int(edited[s2]) = 0 s1 = 158464, s2 = 14091773, d1 = 1, d2 = 2 Dl.O(d1) = 1282667,1282664,1284642,1284638,2213470,3696537,5913397,9046640,13258672,18646542,25211341,32926927,41429444,51671064,41429609,32569397,24916513,24916512,32569395,41429600,32569392,29513717,22172289,22172287,29513713,31357611,31357610,40037441,50056974,255235160,63323965,51600360,41375395,41375393,35042585,35042584,44416988,52050328,53239516,42788254,42788247,42788246,46291020,36437843,27978845,27978846,24305962,17922041,17922039,24305957,31822564,40519559,39954661,33757339,25949443,19285232,19285233,25949445,33757341,40804340,50518979,50518978,51371599,41184998,32368563,256593429,47853481,37933589,29367105,22036380,22036379,29367102,37933585,47853474,59250045,71987258,74807887,64668444 Dl.O(d2) = 256844731,54543389,51070992,51070991,62699984,51071182,51071181,52079899,41766367,32845985,32845983,26567377,26567378,34548387,43811277,53695966,53695967,65753305,65888717,72077263,72077264,75644251,62700178,62700179,75644253,71987275,71987271,85574410,75644045,75644046,65356817,65356816,78660281,84430126,77009358,77007529,63896867,63896868,77007533,77007537,84691819,71127528,71127529,75643987,71124736,58406901,50411327,40376742,40376743,50411332,61901812,58296234,58296235,61901762,74695405,77009334,86748478,86748476,75643993,75643992,89405207,99613453,99613452,107629936,105065158,90886300,86748482,86748481,88322951,74695517,61901847,50411353,40376751,40376752,50411343,61901834,74695507,88323122,92722592,105975332,98351771,98351770,88322941,74695375,74695376,74695399,61901758,61901757,74695397,84691816,84691815,89405193,80219737,66792469,66792468,61901778,61901777,74695431,74695492,88323111,102318784,102318669,88323010,74695427,74695426,88323006,94281245,94281244,88323138,88323137,102318637,102318696,88323046,74695453,61901801,50411324,50411325,61901804,72588894,59851176,59851177,72588886,72588887,61902014,61902015,74695639,88323144,74695537,61901868,61901869,74695540,88323151,102318644,88322977,74695410,74695411,88322981,102318639,103499356,103499357,94281267,80219731,80219730,94281265,88323011,88323012,102318674,100761354,100761352,102318666,102318665,102318664,102318777,105065152,102318796,88323132,88323131,102318622,116411130,102318856,102318677,101733262,101733261,102318630,88322959,74695390,74695391,88322962,102318633,102318607,102318608,113532845,112963269,101733260,257928040,99463555,101733278,101733274,87760658,74156316,61375765,49895123,49895124,61375767,74156320,87760664,101733280,259576036,76126038,88322932,85049126,71477438,71477437,85049124,98974222,258910073,258105059,47790387,47790386,59190598,61375761,61375762,74156309,87760646,98974228,99463579,100841418,100841419,112963264,112963265,118309966,114673929,258299464,76225314,71871888,71871889,85456668,85456669,99397531,113398488,104155355,90029966,76225316,76225315,90029964,104155354,259795592,259168144,90029961,76225313,76225312,90029958,104155346,118309956,117589348,117589349,118309958,260408118,117581686,103451357,89355950,75594819,62652350,51026268,51026267,62652348,75594815,259576035,117581674,131381854,117581678,103451349,89355945,75594816,75594817,89355947,103451353,117581683,259672660,98258505,98258504,112236594,113473846,103451347,103451348,116538999,257682362,88440409,102442222,116539002,130377262,131381855,122533235,116539006,102442226,102442225,116411213,116411214,116411210,116411209,130248174,143002797,133805581,127343339,127343340,140699191,152470749,143576721,130248243,130248242,140856687,130248106,130248105,143576697,143576733,153533612,140856689,127500095,113627645,99613440,85664223,85664222,99613438,113627638,127500087,140856684,130248211,130248171,260149127,88323073,88323072,102318729,116411204,130248115,116411134,116411135,261317377,130248190,116411225,102318740,102318742,102318753,116411238,130248203,130248231,130248230,130248218,116411247,102318762,102318761,116411246,113398487,99397530,99397529,113398485,127256947,133805635,119937538,105701984,102318774,88323102,88323101,102318772,271877733,116411279,105701928,105701927,119937475,133805586,119937524,119937523,121358646,126963591,127500102,113627653,99613443,99613441,113627646,119937463,119937464,119937547,105701997,105701962,91477352,77545910,77545911,91477354,91477373,91477374,105701995,105701946,105701947,115778436,259569666,105174058,105174059,119376717,119376718,119376719,107061850,92722619,92722620,107061851,121358601,107061887,92722671,78660263,78660264,92722673,92722609,78660181,65356704,65356706,78660186,92722618,107061848,117617061,112489796,98497795,92722630,78660199,65356713,53354282,42889575,42889576,53354285,259081761,107061859,107061865,258749944,65356727,53354292,53354291,65356723,71629683,71629682,78660252,65356778,53354332,53354290,257836119,78660205,85808185,84574850,71011141,258204106,53354333,42889604,42889605,53354338,53354308,53354307,65356751,78660230,65356955,65356800,65356799,78660269,71011147,71011146,78660150,78660149,84574880,71011177,58296255,258043947,65356866,71011132,58296207,46930422,37052287,37052288,42889628,42889602,37052317,28552331,28552330,37052315,46930460,42889705,33845780,26025645,19349161,19349163,26025647,33845783,42889710,53354513,65356742,65356741,78660219,92722645,78660417,65356988,55623379,55623378,68011228,81494993,88323204,81494915,81494916,95530540,92722730,92722729,81494240,81292794,67826747,67826748,81292796,81495009,68011250,68011249,81493940,86162050,72563844,72563845,77734973,64552520,64552519,77734971,81493671,68009728,68009727,68010039,55622051,44723083,44723084,55622053,65356922,59828349,48442120,48442119,44724538,44724539,55623392,255339778,95530582,104061391,104061390,100128005,86162058,86162057,81494234,68010330,55622427,44723483,44723485,55621948,55621947,68009933,68011169,68011170,81494933,81493979,81493980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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 158464, s2 = 14091773, dlinesl.size( ) = 2 s1 = 158464, s2 = 14091773, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 158464, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 14158500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158500, s2 = 5547096, int(edited[s2]) = 0 s1 = 14158500, s2 = 5547096, d1 = 73, d2 = 28 Dl.O(d1) = 258358553,51658800,41417238,32558289,24907603,18403279,13071792,254900589,5812778,3625941,2165469,254144205,712694 Dl.O(d2) = 227863674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158500, s2 = 5547096, dlinesl.size( ) = 2 s1 = 14158500, s2 = 5547096, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14158500, Dl.E( ) = 80, 2e-05 seconds used appending s1 = 8177009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 279949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15050875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15050875, s2 = 15295915, int(edited[s2]) = 0 s1 = 15050875, s2 = 15295915, d1 = 24, d2 = 23 Dl.O(d1) = 7583069,4807129,2929460,2929461,4861447,2956606,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7615579,4818407,4818406,7615576,11412614,11412613,7585133,4797676,2891886,1678452,1678451,2891882,4797671,7585128,8539326,8539256,8539255,12586898,8539371,8539372,12587037,17722823,254866615,5501509,254606773,12538659,17722824,255586253,12587079,12587060,8539387,8539386,12587058,17784475,24151750,31662436,31662579,257093463,60129747,256771350,257980302,49506957,49506958,39619443,39619444,30986676,23520949,23520846,23520845,17221413,17221412,23520907,30987005,34756413,44073931,54247062,55149193,44304164,34933873,26862080,26862078,34933884 Dl.O(d2) = 122568537,259237120,108093542,122468007,108069832,108069831,122468005,260447112,272492288,182974491,173129787,162004284,260428890,270691746,80165401,257880171,43800065,34541961,26563942,19766737,14159303,256195765,19771856,14162163,14162162,14157597,9734056,6401300,6401301,9734060,14157568,14157569,19763354,26557524,257281461,66738759,259127931,108540720,122824545,136673635,124216777,124216776,272475137,162839891,173159117,272767973,147021111,133772965,272903590,42123830,42123831,52478920,64349164,58436212,47060791,37169118,256863919,58436206,258352198,47060788,37169117,28651908,28651907,37169115,47060785,258053645,84728024,98657603,271753323,84728026,84728025,97840433,98657608,97840431,97840432,97840427,83978298,70450324,57755197,46404344,46404343,46404345,46404346,57755199,70450329,71158094,84728022,98657601,260221776,84728048,84728039,83978276,71158120,71158119,84728045,84728046,97840438,83978304,83978303,259874331,83978280,83978279,70450307,70450306,83978273,70450300,70450299,258629031,46404339,46404338,46404350,36543029,28075269,255365019,254709689,267957537,14998457,20903138,28075266,36543023,46404341,57755193,70450319,70450302,70450301,83978275,70450335,258629035,70450285,57755168,46404325,36543016,28075262,28075264,36543019,29205628,21892387,15814768,15814769,21892391,29205633,37767089,47688394,59087238,256558752,33446642,25675859,25675851,19054152,13602406,9314182,6101421,6101420,9314179,254423226,13602386,254284898,9314164,255274775,25675809,19054147,13602401,255274779,25675844,33446626,26259332,26259331,34124961,43212423,257404458,41709366,41709365,52019932,59917360,48523746,268645197,23036023,23036022,25515129,256426233,22658974,16465136,11472057,7630620,4827691,2909237,254361371,7630614,255106313,22658940,30033933,30033885,30033884,38608098,255900296,58806991,58806992,64779186,59917262,48523641,38608221,38608222,48523733,48523800,38608289,30034046,22659023,16465169,16465170,22659025,16465180,16465181,22659038,30034058,37511956,37511955,42455584,33462597,25690493,25690492,33462596,38204818,38204819,48115645,59503415,59917440,59478997,48089510,48089511,59479001,72216041,72657473,72657468,59917448,58197322,58197321,70910029,84038506,70503621,57802656,46447057,46447058,57802659,58549485,59917420,257107978,36953185,28452819,28452821,36953188,46831305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15050875, s2 = 15295915, dlinesl.size( ) = 2 s1 = 15050875, s2 = 15295915, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15050875, Dl.E( ) = 26, 1.81e-05 seconds used appending s1 = 9815969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9205554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9205554, s2 = 14163156, int(edited[s2]) = 0 s1 = 9205554, s2 = 14163156, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 41411162,32552455,32552454,257156589,63395436,258984917,260228499,261393473,158086992,262894101,188717299,196516284,203193714,203832206,197272697,189583419,180685549,170554275,159216444,146843485,133586143,119711781,105472618,91250534,91250533,99579857,85629942,72042200,59306836,47912748,47912749,59306838,72042203,85629945,77396322,64245557,52389657,52389656,64245556,77396321,91315292,105533262,119766563,119711774,119711772,112635436,98638560,84708281,71138492,58416905,47042238,47042239,58416907,71138495,84708286,98638553,84708273,71138484,58416898,48841869,48841868,60236194,72973150,86570989,100531962,270877065,73429100,87046439,75701567,62754658,51123451,40981273,38389150,29816289,29816254,22448340,22448339,24901527,23036338,16792128,11741090,7838926,7838927,11741094,16792136,23036348,30443771,30696355,36538328,28071312,20899847,14995511,14995512,20899851,28071317,255809816,57750057,70445323,83972927,97834218,111758887,113316234,99312692,85367789,71778035,59035586,47633333,37711116,29150885,21842651,15772896,10925257,10925256,15772894,13463178,9206782,6027516,3770848,3770847,6027511,9206772,13463158,16645934,16645933,15106802,15106800,21032578,18711311,18711312,21032595,15106807,15106808,21032598,28229528,34618430,40410448,46292398,255946680,255920652,268089576,24212512,17842377,17842376,19819456,14197072,9759467,6416890,4025719,2412423,2412425,4025724,6416898,9759479,14197097,19819638,17846755,12638189,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692814,9692812,14087625,11837991,11837990,16915111,16914326,11837461,7911149,7911148,11837456,16914323,21605083,21605084,16743643,16743645,17119061,12340276,12034754,8090557,8090558,12032351,8089074,5182558,5182559,8089077,12032377,17121936,21467852,15466356,15466355,16564347,16564344,18490271,13136342,13136344,18490275,16854611,11787762,7871141,7871140,11787754,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838680,11111454,10775690,7119786,4862364,2930003,2930007,4862317,7684523,11550221,16569102,15100537,15100538,21024697,255470518,46600655,255910110,84247336,98141004,112099904,125933103,139282126,139282125,139282126,151988984,163857549,174674924,174674927,163857551,151988985,139282127,125933105,112099914,98141012,84247342,70695575,70695576,84247344,257836666,62162105,256167998,41153707,32338511,32338512,41153705,51338851,46582180,36695670,28205100,21012784,21012783,28205097,36695657,268310852,31878078,24353184,17960083,12727207,12727208,12951558,9184937,6011556,6011554,8777845,8917551,6011580,6011576,9184955,13434171,18855361,25454050,31878076,32775593,25078196,18535031,18535032,25078197,32775594,41692546,52004732,63820907,74934464,74472718,61690238,61690237,74472717,77498900,70554999,64334543,64334541,64334539,64334540,77498887,85041655,77498954,64334596,64334597,257760712,84980905,71406941,58672803,47281592,37372255,37372256,47281594,58672807,64334592,64334593,64334594,64334603,258400833,52466986,52466987,52466968,52466957,42114375,33159974,255661961,13413806,9171410,6002793,6002794,9171412,13413809,18827028,25418896,33159993,42114406,52467001,64334638,63577370,51792093,51792092,63577369,76662954,90524878,79244298,269312912,43286658,34189631,34189632,43286661,53811753,65879887,259105655,91476304,77544783,64376400,64376403,77544786,71211943,58490308,58490307,71211941,78697342,78697343,65392991,53389698,42923685,33878120,33878121,42923687,53389702,65392997,78697356,65879926,61418323,49940422,39922694,31247138,23762820,17435227,17435228,23762824,31247142,39922699,257642673,74196764,87800005,74196753,74196752,74196745,74108909,61326118,61326117,74108908,77544778,91476300,105700940,107794427,93372223,93372209,79244355,65879937,257263773,34189656,256703779,257858385,79244362,259736725,122199717,260756140,272380788,136162301,133804727,271551636,93372228,79244368,79244367,93372226,107794430,107794395,93372195,79244347,79244346,259736719,93372201,107794403,107794413,93372214,93372213,92414623,92414622,259049580,134769586,135251938,259974114,140726500,153408338,161702596,151737568,139035115,139035114,149411976,151737605,139035140,258622196,97943558,84070659,268598766,57832887,70534355,257387500,111879774,259248298,151737597,163614125,174452551,163614123,151737595,151737596,261048158,134837809,261048156,121038461,106783455,92476550,78439434,78439433,257826005,53171917,258443119,92476558,260316027,108657113,108657111,106783492,106783491,121038487,261329220,125744809,111924951,106783486,92476594,92476593,106783483,97985702,84110978,70574590,70574589,72401529,72401528,85002588,71429714,58697336,256951406,61956946,61956945,74756756,88390441,78439427,78439428,88390444,78439421,271112078,51014753,51014754,62639041,65156676,62639033,51014748,51014747,60358718,60358717,73096881,65156669,53171907,42722237,33692069,25885346,19225494,13733778,13733779,11745806,7842033,4977959,3007105,1746984,993502,993503,1746988,3007111,4977968,78420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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205554, s2 = 14163156, dlinesl.size( ) = 2 s1 = 9205554, s2 = 14163156, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9205554, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 1480606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158540, s2 = 14095191, int(edited[s2]) = 0 s1 = 14158540, s2 = 14095191, d1 = 6, d2 = 6 Dl.O(d1) = 257885768,77725463,64543434,256689636,42258741,33279049,25518842,25518843,27059449,22047254,15944176,11064135,7336082,4634027,2791522,2791521,2791579,4634153,7336279,9229731,6891919,6891920,10455486,15160912,15944776,11064635,7336413,4636033,2792590,1619926,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,1621283,1621284,2258516,2258519,2791285,2791283,4633639,4633563,2791245,1619252,920975,519297,519295,920965,1619233,2791202,4633476,7335133,10257859,6740685,5505955,3394691,2000866,2000867,3394695,2794731,1621127,1621130,2791899,1619584,921212,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635215,7337942,11066772,11061949,7334684,7334683,11061946,15939265,15939263,15945263,11065021,7336684,4634366,4634365,268217452,11064209,15944273,22047333,255073167,7346736,4640232,4640231,7346734,11079511,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955375,15965051,15965049,15927175,15927179,22028267,26610524,25537362,18925566,255669441,22062107,29392582,37955004,33303374,25541412,18928828,13494251,9232083,6046233,3783010,2266135,1314553,750275,750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574555,11399540,16379480,255602250,21976840,15882051,254962648,21976630,15881912,11009279,7287995,4595923,4595922,7287993,254465406,15882066,17814973,12612925,12612924,17814972,24183334,31691810,29377767,255445779,11064135,11064134,9213634,6032394,6032395,9213636,13472035,18903641,25513754,18903638,18903639,18913229,13482297,13482296,18913227,25522670,33282849,42262637,52648283,52639172,52639171,52648278,52648279,64547480,64547478,52648272,52648273,64547479,77729708,259666015,120078138,133921331,120078134,120078133,261104298,95390886,81341877,67875112,67875113,81341879,95390889,257325880,137378339,123813147,123813146,123647114,109454903,95390882,255756770,81143753,81143752,95200520,81143756,81143757,73233591,267948786,44492339,35115401,27028847,20136161,14442046,14442047,20136162,16876941,16876940,23137247,254983992,47035830,37146865,37146860,37146861,256233444,47042250,47042251,40161863,37463136,28923599,28923598,24337287,24337072,17947044,255599373,21647901,28923602,37463141,38636081,30062154,22684852,22684853,30062157,38636085,31815049,31815050,40511147,50546842,41193933,32374974,32374973,41193931,51384798,63073772,71868664,59651978,48265010,38353984,38353983,48265008,59651976,257924048,59942586,258971941,76069745,72386524,63073776,63073775,59130351,47731576,47731575,59130348,258161097,86280717,259348469,71868669,71868668,85453648,85453646,71868667,59130352,47731577,257489569,71868665,85453645,99394447,113395147,113395146,99394442,85453638,71868660,71868659,71868653,59130342,47731571,269331353,256909681,29244943,270300478,258099689,85453628,85453629,99394435,99394436,259348467,85453642,258723339,59130339,59130338,59130337,47731569,37809399,29244926,29244927,268627531,256909677,29244924,21925126,255872555,21925136,21925105,15839068,254755373,4581419,2756311,1597827,1597829,2756315,4581426,7264846,10975996,10975995,15839066,21925103,29244912,21925140,15839098,10976011,10976012,15839100,21925142,268383069,15401661,15401662,21384947,269779238,21384936,15401652,10645210,7028537,7028538,10645211,15401654,21384939,15401664,10645220,7028544,4421363,4421362,267963443,15401660,21384944,28622236,21384933,21384932,28622234,28622233,28622232,37134703,37134699,37134700,47022680,58394510,58365608,58365607,71081759,58394522,47022692,37134710,256861077,258050367,258674765,84677171,98602315,84677154,71112370,71112371,58394518,58394519,71112378,84677165,98566918,258674766,98602324,98602325,112597513,126466327,112597502,112597503,126466328,270807206,112597509,98602322,98602323,112597498,98602316,259920889,126466321,139837932,261652233,154131093,141461545,272869791,139837946,139837947,128096122,114207560,114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Dl.O(d2) = 257885768,77725463,64543434,256689636,42258741,33279049,25518842,25518843,27059449,22047254,15944176,11064135,7336082,4634027,2791522,2791521,2791579,4634153,7336279,9229731,6891919,6891920,10455486,15160912,15944776,11064635,7336413,4636033,2792590,1619926,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,1621283,1621284,2258516,2258519,2791285,2791283,4633639,4633563,2791245,1619252,920975,519297,519295,920965,1619233,2791202,4633476,7335133,10257859,6740685,5505955,3394691,2000866,2000867,3394695,2794731,1621127,1621130,2791899,1619584,921212,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635215,7337942,11066772,11061949,7334684,7334683,11061946,15939265,15939263,15945263,11065021,7336684,4634366,4634365,268217452,11064209,15944273,22047333,255073167,7346736,4640232,4640231,7346734,11079511,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955375,15965051,15965049,15927175,15927179,22028267,26610524,25537362,18925566,255669441,22062107,29392582,37955004,33303374,25541412,18928828,13494251,9232083,6046233,3783010,2266135,1314553,750275,750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574555,11399540,16379480,255602250,21976840,15882051,254962648,21976630,15881912,11009279,7287995,4595923,4595922,7287993,254465406,15882066,17814973,12612925,12612924,17814972,24183334,31691810,29377767,255445779,11064135,11064134,9213634,6032394,6032395,9213636,13472035,18903641,25513754,18903638,18903639,18913229,13482297,13482296,18913227,25522670,33282849,42262637,52648283,52639172,52639171,52648278,52648279,64547480,64547478,52648272,52648273,64547479,77729708,259666015,120078138,133921331,120078134,120078133,261104298,95390886,81341877,67875112,67875113,81341879,95390889,257325880,137378339,123813147,123813146,123647114,109454903,95390882,255756770,81143753,81143752,95200520,81143756,81143757,73233591,267948786,44492339,35115401,27028847,20136161,14442046,14442047,20136162,16876941,16876940,23137247,254983992,47035830,37146865,37146860,37146861,256233444,47042250,47042251,40161863,37463136,28923599,28923598,24337287,24337072,17947044,255599373,21647901,28923602,37463141,38636081,30062154,22684852,22684853,30062157,38636085,31815049,31815050,40511147,50546842,41193933,32374974,32374973,41193931,51384798,63073772,71868664,59651978,48265010,38353984,38353983,48265008,59651976,257924048,59942586,258971941,76069745,72386524,63073776,63073775,59130351,47731576,47731575,59130348,258161097,86280717,259348469,71868669,71868668,85453648,85453646,71868667,59130352,47731577,257489569,71868665,85453645,99394447,113395147,113395146,99394442,85453638,71868660,71868659,71868653,59130342,47731571,269331353,256909681,29244943,270300478,258099689,85453628,85453629,99394435,99394436,259348467,85453642,258723339,59130339,59130338,59130337,47731569,37809399,29244926,29244927,268627531,256909677,29244924,21925126,255872555,21925136,21925105,15839068,254755373,4581419,2756311,1597827,1597829,2756315,4581426,7264846,10975996,10975995,15839066,21925103,29244912,21925140,15839098,10976011,10976012,15839100,21925142,268383069,15401661,15401662,21384947,269779238,21384936,15401652,10645210,7028537,7028538,10645211,15401654,21384939,15401664,10645220,7028544,4421363,4421362,267963443,15401660,21384944,28622236,21384933,21384932,28622234,28622233,28622232,37134703,37134699,37134700,47022680,58394510,58365608,58365607,71081759,58394522,47022692,37134710,256861077,258050367,258674765,84677171,98602315,84677154,71112370,71112371,58394518,58394519,71112378,84677165,98566918,258674766,98602324,98602325,112597513,126466327,112597502,112597503,126466328,270807206,112597509,98602322,98602323,112597498,98602316,259920889,126466321,139837932,261652233,154131093,141461545,272869791,139837946,139837947,128096122,114207560,114207561,114207567,100175009,100175008,114207565,128096129,128096124,128096125,128096130,128096132,141461547,154131096,165895294,165895286,154131086,154131085,165895283,165895292,176546623,185973382,194191913,201231314,207157378,212044166,207157387,201231322,194191918,194191917,201231321,207157385,274267198,206355901,264233469,201231310,273996477,216036417,215460073,264517169,194191910,194191909,201231313,207157376,206355904,206355905,211365148,215460082,212044164,207157374,207157373,207157371,207157372,212044162,215460066,211365137,206355897,206355898,211365138,215460067,215073091,264287022,221401091,221702959,219343970,219343969,219837887,216599422,212693068,212693067,265042657,222571203,224918541,226029728,223880000,221401093,221401094,223879995,221401083,219837889,264816600,219837864,216599409,212693056,207914381,263243774,187145107,262815652,202115428,207914388,207914404,207914407,263976582,210897995,212693062,264287010,210897998,210897997,212693077,212693076,274211515,264287020,210897999,210898000,263628854,205787041,205787040,199606051,192302394,183824703,183824704,192302390,183824696,183824695,192302389,199606044,205787033,262815646,183824699,183824714,174155580,163305802,151427651,138732380,125408891,111610055,97691537,257072232,70308560,83833700,97691538,111610057,125408895,125408896,125408905,138732395,151427667,151427671,259510312,125408906,138732397,151427669,138732401,138732402,142160781,154794749,154794743,142160777,128806206,114909152,114909153,128806207,142160779,154794746,166500946,177081929,186436483,186436482,180908200,180908201,189797049,189865990,189865991,197521528,189865992,189797051,180908202,170776856,159541015,261447363,120118479,105906682,91699405,77771956,64589171,64589170,66926526,66926525,80352546,74403739,74403740,74403741,74403742,87125164,73506358,73506347,60757237,60757236,73506346,60757240,49354137,39424426,30819594,30819593,268975197,60757235,73506344,87125153,101123200,115200902,129132356,129132357,142509433,155153559,153632900,261166851,127616103,127616106,113747175,113747174,99732588,99732587,98428711,84507155,70943429,70943430,59446150,48054600,38140999,29574417,22227249,16093651,11178054,255081023,22227247,29574414,38140995,48054593,59446141,72184259,64999811,64999810,78272790,78272793,64999813,53025170,53025171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158540, s2 = 14095191, dlinesl.size( ) = 2 s1 = 14158540, s2 = 14095191, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14158540, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 329753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212306, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8252239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8142499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8142499, s2 = 12752723, int(edited[s2]) = 0 s1 = 8142499, s2 = 12752723, d1 = 6, d2 = 42 Dl.O(d1) = 37864763,29295521,25370688,18786467,255659301,33105688,41959498,33016778,29621393,22270145,16128737,11204110,11204112,16128599,11204050,7434277,7434276,11204044,16128586,22269837,29620896,29621119,22269984,22269985,29621146,30194355,22803786,22803787,30194245,22803693,16586424,11566485,11566484,16586419,22803683,30194225,38778458,38779231,30194783,30194785,38778509,30194793,30194792,38778856,256395597,29620546,37819347,37819348,47741688,49716048,257625753,270321703,72224418,85816932,270313874,60096012,256982539,256982541,257563445,61194721,49716065,39697290,39697291,41958042,41958039,33247917,33247916,38187390,29620560 Dl.O(d2) = 40324996,50351944,58628197,47235346,37326451,37326450,47235344,58628194,71365006,268753918,84941719,87930458,258426494,129848869,142234353,128882699,260069445,100926885,114980649,260891086,142984079,142984077,259680492,101710919,87736710,74130884,257636355,39844135,39844136,49866834,258245527,60589018,49188734,39262736,255971855,16988669,23251668,23251720,256473095,30667201,268970929,40534742,48343453,48343454,257045674,38440108,38440097,29882147,255157760,7560886,7560887,11380473,16353848,22526731,29882156,38440109,47880676,48343459,41614836,32710226,25025176,18493932,18493924,18493922,25025169,32710217,41614820,51511886,256503634,24817562,24817561,29863656,29863655,38426936,35402060,27275494,27275495,35402062,32403111,32403110,268659794,57529678,70196551,62846518,51197173,41041182,32248443,24649786,18192588,12903597,12903596,18192586,24649783,32248438,41041173,46807430,46807429,43850691,34578881,26591604,19786427,14172580,9743245,254465307,1393749,1393714,1393713,2408508,4019335,6406573,254962191,19785882,19792370,14177009,14177010,14178371,255066544,19789825,25317945,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151378,6151381,9389316,12282803,8295053,5351306,5351305,6408477,6408482,9746033,14176753,14176723,9746012,9746011,14176714,16920506,23186631,19803528,14185157,14185156,19801075,19801073,14593218,14593220,19791838,16703634,11663531,7774248,7774249,11663535,16703645,14183187,14183188,14553586,14553585,20283229,20283608,14553830,14553826,17759477,17759479,17759588,12567180,8522199,8522200,10013104,9152788,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,8294341,5350967,5350970,8294353,12281523,17424773,23750370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8142499, s2 = 12752723, dlinesl.size( ) = 2 s1 = 8142499, s2 = 12752723, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8142499, Dl.E( ) = 50, 1.69e-05 seconds used appending s1 = 8134715, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8186719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9823033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9823033, s2 = 14597476, int(edited[s2]) = 0 s1 = 9823033, s2 = 14597476, d1 = 15, d2 = 14 Dl.O(d1) = 257003384 Dl.O(d2) = 91818993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9823033, s2 = 14597476, dlinesl.size( ) = 2 s1 = 9823033, s2 = 14597476, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9823033, Dl.E( ) = 32, 1.38e-05 seconds used appending s1 = 16075048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8094092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2632404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2632404, s2 = 11113476, int(edited[s2]) = 0 s1 = 2632404, s2 = 11113476, d1 = 34, d2 = 22 Dl.O(d1) = 74319679,61543416,50065340,40046085,31365832,23871248,255707720,20292262,21342683,15367964,10618463,10618462,15367962,21342680,28570579,37073566,269778413,261149950,50065399,50065398,50065368,40046092,40046088,31365834,23871249,257070519 Dl.O(d2) = 257070487,49081219,60484790,73231784,85234719,84456560,81277699,67810083,67810084,81277700,269353006,55468315,44619199,44619200,47909654,52312558,42472576,42472575,47909633,37993547,37993548,47909636,59304280,59304251,47909607,37993530,37993531,47909609,48117150,59505054,72040125,59517992,48130729,48130730,268631868,28159363,20979980,15068114,255372559,28159364,256824847,46500885,57856955,52405314,42061512,42061511,52405312,258397345,258719260,79364005,72251942,59517980,59517979,72251941,77414109,64264182,257143372,42060385,33111144,25928007,25928006,33735060,42060115,33110837,25375432,18790420,13383670,9148155,254443219,3743360,5986570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2632404, s2 = 11113476, dlinesl.size( ) = 12 s1 = 13400279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13400279, s2 = 10221617, int(edited[s2]) = 0 s1 = 13400279, s2 = 10221617, d1 = 9, d2 = 7 Dl.O(d1) = 37139829,28626700,21388601,15404507,10647370,255033167,21388603,28626708,37139836,37139831,30625983,23203584,16933533,16933534,23203586,30625985,39223701,44765336,55674697,68073563,55674656,44765298,35338989,35338990,44765301,257930237,81563413,95596849,97736553,86902787,73292675,60549593,60549592,73292673,81563511,81563512 Dl.O(d2) = 38462848,29905572,22549401,22549402,29905574,38462849,48364456,48364486,59747533,59747512,48364464,48364465,256957163,38462864,38462863,48364483,59747528,72482006,59747496,59747495,72482005,259395569,86079460,86079459,100042169,114068624,127948536,141308098,141308103,141308102,153978815,141308096,141308097,153978816,165751607,155687779,143133991,141308109,127948533,127948534,141308110,153978822,163474145,151592617,138890944,138890943,151592616,163474143,153978850,153978849,143133992,129801853,115901832,101855984,87882926,74280617,61503800,50025708,50025709,61503803,74280621,61503810,50025713,40007168,40007169,50025715,269504755,42186491,33226274,33226275,42186493,52545272,64419470,77588172,91519075,105742592,98616202,84691543,71127264,71127263,84691539,71127262,58409417,47036861,47036862,255729764,84691545,257289372,71804210,71127266,71127251,71127250,71127271,71127265,58409424,58409423,58409434,47036873,47036874,53025280,42585548,42585547,42583131,33566029,33566030,37147842,47036864,58409410,58409411,70966380,58250110,58250109,70966378,268613906,255403122,28633691,37147833,37147838,256325246,41205195,32384919,24764449,18287198,18287200,24764453,32384928,27136282,20229699,14516483,255754975,35230848,44612018,55460547,67802104,81269801,81269803,95328930,107783169,107783170,122187240,136148713 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8441137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6894405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6779412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14614461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7838337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1493573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6629924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6629924, s2 = 14056392, int(edited[s2]) = 0 s1 = 6629924, s2 = 14056392, d1 = 8, d2 = 17 Dl.O(d1) = 2646000,254499355,6010699,3759428,3759429,6010703,7174753,10852583,15676267,21720572,255085199,7446320,4704725,4704724,7446316,11222589,16153480,22298765,21864792,15791581,10940787,10940786,15791577,21864787,29175057,37735700,29175018,21864755,15791557,10940774,7239479,4564068,4564067,7239475,10940765,15791545,21864737,29174985,29175001,29174967,29174966,37735651,33196572,33196571,33196576,25450467,18852433,13431963,13431964,18852436,25450473,28233132,28233133,36726846,44662455,35268877,35268876,257325783,47871051,58792776,64387701,257483292,60597565,67784394,55441205,55441204,48127196,38217050,268629420,31761006,40455267,50491057,60261593,257577596,30362963,22961504,268418569,38949027,48868697,60261599,72997190,86594864,72997174,60432493,60261589,60261588,49197008,39270870,39270869,49197005,50491117,40455325,31761050,31761049,40455320,44591337,55441192,67784385,59057677,58056735,58056734,65040583,53057977,42610391,33586653,29174964,21864726,15791537,15791536,21864724,29174961,37735648,30353522,30353523,38939568,257576835,72987130,72987129,70792743,58075469,48868680,38949012,38949011,48868679,60261583,72997175,72987132,72987131,70792711,70792710,84351589,74779259,61983055,60597551,55666269,44755987,35328193,35328194,44755992,36820895,28325699,28325700,36820899,31761014,24249279,17872157,17872158,24249283,31761022,40455289,50491078,49378095,40455326,40455328,257683757,49469513,39535320,30924200,23486395,17202544,17202545,23486399,30924209,39535340,49469536,54596914,43852520,39535299,39535300,46939621,46939622,55412455,44564816,35186498,35186497,31761075,31761074,40455352,49469491,39535307,39535308,42156232,42156231,52514269,269172648,57613837,46269265,39535294,30924184,23486384,17202541,12097174,12097175,11140220,11140219,16044066,22166848,28559849,37060876,44778978,39535296,39535295,44588744,44588745,49469533,39535336,38070699,38070698,47982811,43852526,34580908,26593666,26593667,34580912,43852534,54596929,49469521,39535328,39535329,47868299,50491150,60873157,49469505,39535314,30924197,23486392,23486391,30924193,39535310,49469497,257683733,40455250,40455249,40455465,50491262,60873115,50491135,40455339,31761062,24249307,24249306,31761059,40455338,38070716,38070715,257508421,59372819,59372818,50491176,40455378,40455377,50491172,49469528,49469527,54596917,54596916,66855662,67752962,55412445,44564807,257318947,39535303,256720832,60873127,58650135,58650136,71385360,268811922,57995544,57995623,57995594,46619429,46619428,57995592,57995596,70712408,84263719,74437994,70712385,57995559,57995560,269613180,67752965,58650132,47258294,37348823,28810351,28810352,37348826,47258297,46619323,36731287,36731288,46619325,46619395,46619394,46619450,36731382,28236849,28236850,36731384,44588785,46619355,36731315,36731317,38922048,30335786,30335785,28236823,21038755,15111593,10423376,10423377,15111597,21038765,28236844,36731372,46619435,47447483,47447482,46619368,36731330,36731329,40143668,47447503,47447504,44588800,35208810,35208809,44588795,40143724,40143725,47258301,37348831,28810354,28810355,37348835,36731300,28236801,21038742,15111588,10423372,10423370,15111585,20214589,27117196,256447048,40143647,31460471,23964836,21709844,15667748,10846293,10846292,15667745,21709836,28994226,37539511,47447499,57995545,50168538,40143736,31460526,23964869,17614913,12433254,12433255,17614916,23964875,31460538,38364072,29791514,22425910,22425911,29791517,38364075,39884265,39884294,31204809,23717751,17394085,17394084,23717748,31204805,39884280,31460532,31460531,35208817,44588811,55438314,50168526,40143726,40143727,50168528,61654392,74438252,87770808,74166176,61741856,50263384,40243909,31557819,24053536,24053535,31460520,39884308,49750398,50168552,50168553,59663383,58833568,48165122,48165121,59551691,67781349,59663387,48275478,48275479,39884268,31204797,23717744,17394080,12257825,8278426,8278427,12257828,17394089,23717760,31204819,24619256,24619257,32210684,40994545,51141481,50168560,50168561,46212455,46212456,47843504,47843505,49750395,55463991,55463992,67805583,74438254,61654393,256596424,40143739,47843520,40994541,40994542,51141476,61385594,59519439,48132155,38222067,38222068,48132156,59519442,71498116,258034020,97528171,83646174,70121146,57460386,54616114,43873848,34603634,26616179,26616180,256722255,54616116,57460387,50168547,50168549,61654399,70121151,57460397,46157241,46157242,47843509,47843508,59240355,66873819,256850628,54654839,43912247,34638821,31204778,23717730,23717731,27117244,27117245,35208859,44588870,55438362,67781359,74166173,67805587,55463994,44615275,44615276,54654979,48311566,48311568,38400817,38400816,256596422,58370537,47000142,37114326,37114325,37586414,29038963,29038961,36340918,43912158,43912159,54654832,66911688,66911754,54654922,43912215,34638801,26647265,26647263,20765045,14883808,14883809,20765046,27909081,36340899,46157215,54654933,54654946,43912230,34638813,26647273,26647272,34638811,43912228,43912187,43912188,54654877,64718996,57460422,46157257,46157258,43912147,36340928,36340927,46157262,57460427,70121172,83646184,74561714,61778301,57460403,57460402,52805260,52805259,57865839,70567601,83646153,83646152,256541192,70121110,69261517,56696660,49324410,49324409,60726554,61334307,74116560,67392766,67392765,80860418,94924346,94929648,80866010,80866009,80818984,80818985,73906668,73906669,74640269,61847755,61847759,55066161,55066157,63187888,51480320,41270001,41270006,43887210,43887209,54630458,55144792,67485331,66166936,66166935,66704385,54471404,43761727,34518397,34518398,43761730,54471410,66704395,79414768,93552350,93852962,98452870,84531146,80438870,257665314,259218978,79389405,66242464,66242465,79631987,79795328,89235943,75482954,62556629,50948375,40824821,40824819,50948369,62556619,66648149,66648150,61191463,58524866,47138577,37234737,37234733,47138529,54878667,54878665,61008959,54280874,43637352,43637356,34506258,26544381,19756711,19756709,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444524,9805680,14268956,19921980,26770302,34808533,44144927,54961757,67287540,80757418,257354066,50971529,40840152,32076410,32076409,32668823,24992938,18469195 Dl.O(d2) = 2423369,4047757,2423316,2423313,4045143,2422533,2422530,4045169,6452667,9821760,14135004,9723569,6396160,4013682,4013684,6396068,9723354,14134541,19715124,26462340,256195839,43803863,54532432,66779404,70488223,70488221,65506778,53483791,43006270,33950004,26113501,26113500,33950002,43006267,43799765,43799766,257880165,57787326,70488134,65503190,53480478,43003396,33947448,33947450,43003403,36567543,28096757,28096756,36567538,36566133,28095638,28095636,36566123,46430422,57785517,70485961,74519607,61737935,61737936,74519611,88131838,86021067,72423945,59688685,59688686,55003715,55003716,61737822,50259449,50259450,53354044,42889319,40240061,40240062,50259359,61737744,65356493,78659956,88131558,74519277,61737575,50259306,40240012,31554006,24049946,17696494,17696493,24049942,17696505,12516461,8479432,8479431,12516460,17696503,20225350,27130665,35224416,256640474,39964143,31289152,23802894,18418845,13082700,13082701,18418300,18418301,254657850,6259150,6259153,8319344,5368307,3300328,3300329,5368311,6735589,6735591,10251055,12316532,12316533,8914666,5817507,3628938,2167403,1254425,1254424,2167400,3300355,1941152,1108850,622308,622309,1108854,1941156,3300366,5368318,8319353,12316551,13082204,8914594,5817455,3628909,2167383,1254417,713450,713449,254200121,3628902,5817454,8914502,8914503,13082092,8915101,8915019,5818028,3629326,3629327,5818031,8914716,5818058,3629346,2167658,1254559,713530,403090,225692,124199,124198,225687,403081,713514,1254532,254434475,8914542,8914533,5817408,5817410,8914539,254475876,18418934,24929373,24929371,18418249,18418250,267877302,254479754,42156948,33197361,25451106,254479628,13432302,18852905,18418151,13082055,13082054,13082079,18418177,13082211,13082212,18418307,20296597,20296596,17948584,17948585,24338826,24929463,24929462,18418941,13082790,8915147,5817901,3629238,3629239,254320758,13082794,18418943,24930092,31860955,36422977,32591914,24930200,18418929,18418928,254479756,32590974,31860949,27224964,20296446,14564940,10022315,10022316,14564944,10250099,10250100,13082085,13082084,18418182,24929397,24929393,27224990,32591661,32591662,32591924,36424614,36424144,27965638,20803210,20803209,27965635,36424141,46276813,46276293,36423626,36423627,46276295,57620722,70311062,83835971,74238504,61459285,256267680,64234028,64234029,77384362,90452385,83836011,74521497,61739746,61739745,61328527,57620760,46276344,46276343,42035123,33087639,25355011,25355012,256635773,52378655,61739708,61739709,74521477,83835986,256763348,57620682,70311087,74521475,61739706,61739705,257993498,76594437,63550196,51770626,51770628,57620811,63515214,51737396,41468369,32591334,32591333,40242031,40242030,49150061,50261334,50261333,50261353,40242012,40242011,50261346,50261345,47312977,47312976,258070915,73292525,60549406,49150066,49150068,49845476,39822029,255249946,23652210,31139583,39822027,40242014,50261358,57620827,46276418,36423734,36423735,46276423,57620830,61739702,57620806,46276402,46276404,257993573,61739704,61739703,74521472,70311183,61739733,256593196,73292528,256470254,255523164,23203432,17697748,12517352,8480078,5481485,5481484,254864437,17697742,256032507,40241991,50261311,40241976,40241975,50261307,257383126,46276397,46276398,57620802,60549416,51903645,41603812,32700972,32700973,39223504,39223503,49150078,60549417,60549394,49150090,39223513,30625793,30625792,30625771,30625772,268241932,23203429,23203430,30625780,39223495,269840807,46496970,36630237,28156116,28156117,36630238,46496972,57852841,70554300,60549393,49150053,39223490,39223489,49150050,46870804,36992035,36992034,46870802,50261362,51737091,51737090,51737086,51737087,63514896,63516008,51738277,41469310,32592278,32592279,36630249,36630248,269368790,46496979,36630240,28156118,20977008,20977009,255798603,32591033,24929441,18418214,13082121,13082122,18418217,24929445,32591041,256267644,63514899,76594124,257172802,256267836,51738274,51738275,63516006,76595204,90453137,84090870,84090872,70554283,57852823,57852822,63837109,52022180,52022181,46496993,46496994,57852871,57852830,46496964,46496965,57852831,55008589,52022174,52022172,52022171,59138624,47739970,37817599,29252345,254906592,41711472,32795092,25095666,25095667,32795095,41711477,43419656,255193518,46496962,57852826,70554259,70554260,63837093,52022168,52022169,63837095,76944143,76944142,85461272,76944160,76944159,85461273,71876667,59138556,47739919,37817569,37817570,47739921,47739945,37817583,29252337,268627729,47739932,47739933,59138570,59138635,47739987,37817612,37817613,47739990,254294870,42184877,33224771,25476630,25476631,33224774,42184880,52269871,52269874,254639030,47739923,52312991,41972655,33029563,33029564,41930912,41930911,52269831,52543702,64418053,77266082,64118951,60267858,60267857,70535190,57833789,46478048,36611989,36611990,46478049,57833791,255242894,97944234,86600273,255642666,97944229,256104028,119976329,119976327,133842673,125697254,111880474,97944232,84071393,70535187,57833788,57833787,257172820,97944230,111880473,113397324,113397323,102256473,268138292,91517949,91517948,105741630,119976330,272201371,99396364,85455419,71870461,59132219,59132218,71870460,84071397,84071389,76439487,71870457,257172812,37811363,37811364,47733562,59132221,71870465,76439481,63395705,51652717,41411537,32552917,24902924,24902923,32552916,41411536,51652690,51652689,63395681,63395714,63395713,63395732,51652751,41411565,32552941,24902945,24902946,32552943,41411567,41411494,32552889,32552888,24902934,18399459,13068969,13068968,18399458,24902932,32552926,41411514,32552901,32552900,41411512,41411518,32552903,32552902,41411516,51652692,58322250,63395731,257756692,51652671,51652672,257744273,51652725,51652726,51652653,41411484,32552883,24902907,18399440,13068954,8905538,8905539,13068957,18399443,24902908,32552886,41411491,51652665,46955139,255639174,71037808,256099904,46955140,58322255,71037812,84601890,90269853,90269854,104421360,97691713,83833864,83833863,90269819,76439462,63395683,51652695,269472157,257756674,63395686,76439466,90269820,104421332,115589350,118604724,104421329,104421330,100855462,100855464,98526671,88131940,74519732,61738061,50259669,40240341,40240268,31554229,24050099,17696579,17696580,24049947,31554009,40240014,50259311,44605251,35224413,27130661,27130660,35224410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6629924, s2 = 14056392, dlinesl.size( ) = 14 s1 = 6747499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6747499, s2 = 16340828, int(edited[s2]) = 0 s1 = 6747499, s2 = 16340828, d1 = 1, d2 = 1 Dl.O(d1) = 258040943,257413067,36774277,36774276,46659533,37018842,37018841,46897386,51204632,51204631,62853814,57986271,46609773,46609772,37468047,28927392,28927393,37020518,31980534,24426902,268446013,24094522,31598223,40282542,40727577,40727578,43208011,40727720,40727721,257700973,40282543,256180847,19537241,13989208,9610028,9610029,13989210,19537245,26255640,34120764,43208046,50831755,46894512,46894511,53719815,43207797,257260009,46892418,46892417,43873026,257285807,50894100,40777870,32021612,24460099,24460100,24094536,256035249,40282559,35221058,35221060,44602077,55451052,256306850,46609959,46609958,269770611,58032145,46659379,36774086,36774085,36722316,36722313,46609917,57986350,50218477,40196113,31510216,31510215,36721330,36721331,28814101,28814102,28228549,28228550,36722257,29769341,22406099,21031900,15106251,15106250,21031893,21031650,21031651,28228376,28228575,36722281,36722411,46610108,57986098,46609490,255079234,46609529,36721609,28227979,21031401,21031400,28227976,36721602,38111282,38111283,38478358,38478359,36721906,256830269,36721650,38111281,256931453,37020045,37020047,37020049,46898281,39375379,37020034,256852575,31489280,31489281,36998694,46877017,57986022,57986021,46609574,36721670,28498729,28498728,36996165,39310473,30712787,23296286,17036506,11950621,11950622,17036507,23296289,30712788,39310475,268636900,73384195,86999468,100992362,259382930,142363304,155011210,166711514,177268419,186594323,194719404,263549408,265228821,224732918,265391946,230176160,231580497,232839476,233978369,235015737,235959924,236820258,237602835,238314489,238962227,239557565,240107346,239829175,239253718,239253719,238627975,237944377,237193158,236368530,235466290,234477818,233391415,232194144,230868803,229389751,227724412,225826199,223649599,221137602,218202977,214708824,210461615,264245112,182908400,262754086,149540483,136274962,122298274,107882182,93453041,79321878,65958114,53891397,43367496,34268121,26391867,19657534,14090285,9691405,254548604,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,19655045,14088393,9690267,9690266,14088390,17748226,24106962,31609135,34667053,26673876,19856763,14226022,9779731,267869921 Dl.O(d2) = 258040943,257413067,36774277,36774276,46659533,37018842,37018841,46897386,51204632,51204631,62853814,57986271,46609773,46609772,37468047,28927392,28927393,37020518,31980534,24426902,268446013,24094522,31598223,40282542,40727577,40727578,43208011,40727720,40727721,257700973,40282543,256180847,19537241,13989208,9610028,9610029,13989210,19537245,26255640,34120764,43208046,50831755,46894512,46894511,53719815,43207797,257260009,46892418,46892417,43873026,257285807,50894100,40777870,32021612,24460099,24460100,24094536,256035249,40282559,35221058,35221060,44602077,55451052,256306850,46609959,46609958,269770611,58032145,46659379,36774086,36774085,36722316,36722313,46609917,57986350,50218477,40196113,31510216,31510215,36721330,36721331,28814101,28814102,28228549,28228550,36722257,29769341,22406099,21031900,15106251,15106250,21031893,21031650,21031651,28228376,28228575,36722281,36722411,46610108,57986098,46609490,255079234,46609529,36721609,28227979,21031401,21031400,28227976,36721602,38111282,38111283,38478358,38478359,36721906,256830269,36721650,38111281,256931453,37020045,37020047,37020049,46898281,39375379,37020034,256852575,31489280,31489281,36998694,46877017,57986022,57986021,46609574,36721670,28498729,28498728,36996165,39310473,30712787,23296286,17036506,11950621,11950622,17036507,23296289,30712788,39310475,268636900,73384195,86999468,100992362,259382930,142363304,155011210,166711514,177268419,186594323,194719404,263549408,265228821,224732918,265391946,230176160,231580497,232839476,233978369,235015737,235959924,236820258,237602835,238314489,238962227,239557565,240107346,239829175,239253718,239253719,238627975,237944377,237193158,236368530,235466290,234477818,233391415,232194144,230868803,229389751,227724412,225826199,223649599,221137602,218202977,214708824,210461615,264245112,182908400,262754086,149540483,136274962,122298274,107882182,93453041,79321878,65958114,53891397,43367496,34268121,26391867,19657534,14090285,9691405,254548604,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,19655045,14088393,9690267,9690266,14088390,17748226,24106962,31609135,34667053,26673876,19856763,14226022,9779731,267869921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6747499, s2 = 16340828, dlinesl.size( ) = 2 s1 = 6747499, s2 = 16340828, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6747499, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14158708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6592919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8115741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7927229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8013197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8013197, s2 = 8308309, int(edited[s2]) = 0 s1 = 8013197, s2 = 8308309, d1 = 38, d2 = 24 Dl.O(d1) = 269868795,17369563,254842059,5331204,3276972,1927506,1101312,1101314,1927513,3274049,5326371,3274071,3273989,3273987,5326541,8256642,5361147,3295699,254267895,1927691,3277311,5331848,8264092,8257517,8257518,8266811,5333891,5333892,8266816,8267257,8267254,8256749,8256750,7107238,4474600,4474601,7107241,255412915,17359396,17359395,17370536,17370535,255553627,12241052,8266525,8266526,11230589,11230588,12244621,8269817,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365287,3435672,2032327,2032326,3435663,5550655,5347621,5347624,8289421,8560068,8534524,7457563,7457565,11230848,16163841,17370998,255902565,22310555,17449120,17449119,16165925,16165924,11236633,7457605,4712323,2838828,254353835,7457612,7458738,11237918,10757861,7107574,7107571,4710470,2837680,1646147,936051,527508,527510,935978,1645543,935949,935950,1645988,2836629,2836762,4709016,7453081,5549880,3435021,3435020,3285760,1932303,1151872,646183,358574,196376,196378,358583,646201,1151907,2013961,3412428,5526040,8527519,8314692,5365038,4884740,4884739,4710334,254529401,254413323,3404091,3415630,2838179,1646441,936201,527581,295590,295588,254124167,1646433,254353747,5727436,5727435,8525863,8531698,6015318,6015319,5347731,3386413,3386416,5493660,3383837,3383838,5493664,5484729,5484728,268116259,8531490,8504686,5505187,4790666,4790667,7574575,8493549,8494269,5495423,5495422,8482502,5483291,5483292,8482503,5594381,3470879,2058367,2058369,3404663,5508390,5531742,5531733,5531734,5556908,254280933,1166757,1166756,2036705,3441423,5356290,5483479,3374500,3374503,2011471,2011473,3407100,3407103,5520366,8493513,5500045,5500046,3448136,3448135,5494693,3384798,1993556,1993554,3382936,1992236,1138456,638739,638741,255581889,17987079,13587653,9361711,9361712,13670820,13554123,9279208,9279206,6133798,6133797,9329738,6111335,6111334,4492220,2698885,254338217,254741697,14514459,9987465,7135378,4492229,4492231,7135382,10799368,9304142,6094726,6094727,9304145,13588213,19036223,255812359,21157436,28374537,25739885,19106563,19106564,19006610,255546096,17332699,13655356,13655357,17670813,15569827,15569826,21597432,17136465,12043003,8096169,5186827,3164374,3164375,5186836,7146972,7146969,9277680,10939968,9300225,9300221,9366982,6135503,6121721,3830112,2294657,2294658,3830120,6121734,9346211,13608268,13652869,18993427,13672757,13587618,9361728,6132084,3836410,2298365,2298366,3810961,3810959,6090885,6075031,6075030,4341880,4341878,6913071,6126197,3833003,2296541,2296542,3833005,6126201,9352902,10014381,10514106,9323555,9323556,13616237,19072751,25698475,33386619,33501342,254758400,14330696,13560239,9283967,6081696,3805534,2279604,2279605,3805537,6081700,8096171,5186827,3164383,3164384,5186847,8096217,12043070,17136557,23411711,22078748,22078747,268399192,20063587,20063588,25135157,18581338,18581339,25135159,25767811,25698353,25698352,30038768,24241809,24241808,24192250,21762820,15706829,14555361,14555363,20285361,21461668,16264704,11308289,7507839,4745830,2860151,2860152,4745818,7507808,255093619,13563109,9286212,6083229,6083228,9286207,13563103,19004303,25135455,29798298,29798299,33477839,25704465,21951201,15860659,15860660,255682282,21951211,21951210,18141981,12864851,268126569,24586285,29037564,22695899,19426539,13899539,9538351,9538350,13899535,11750933,7845829,7845785,7845787,8211513,8211512,8611404,5596892,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476519,21479265,28736559,29027471,21737181,17315079,17315076,23631018,24586035,23050146,23050148,23630436,17314643,17314644,23630442,31116874,37579564,29032296,29032299,21742052,21742051,29033575,23050452,20082373,14398803,14398804,20082377,26967406,21949649,21949653,27150223,20239676,20239673,15687772,15687771,21736985,20082482,20082480,17057642,17057641,23322790,20082061,14398607,14398611,14398743,14398741,20082279,26967279,29046116,29046118,29046202,21753058,15699575,15699577,21753066,29046218,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,40951438,32171998,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597780,31081152,39758819,49777471,39759038,39759037,49777711,58861961,58861959,71585776,85153620,71592096,71592095,257589088,50473232,61451514,257458946,47485306,37579880,29032658,29032659,37579883,46875877,256337418,58243094,46875891,36997270,28499848,21281994,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677714,255079311,22205779,29011355,21743510,15692652,15692650,21743506,21921687,21921688 Dl.O(d2) = 84427158,71516256,58786175,58786174,269362768,39138507,30539363,30539349,23120461,23120462,30539353,28722668,28722667,31480509,31480511,257000602,74457029,84524056,73428129,60680503,60680504,60083898,58000418,58000419,58244165,46877229,36998826,36998827,46877232,57739749,48943000,48942999,58364076,46994003,40165352,40165351,33433409,254536416,52829981,46877220,46877219,50216536,40194140,40194139,50216533,40194145,40194144,50216539,59062470,47662348,47662350,59062473,71803116,254782578,47662368,47662369,38595360,30022657,22649728,22649730,30022660,38595363,48510182,59903720,71278131,71761700,59017652,47613360,42147426,254358476,51902373,51902375,50498567,41602434,32699577,29553023,22208213,267998204,36828135,28332001,28332002,28455083,28455082,36955706,46834008,49121385,49121386,60522507,59737137,48353679,38451846,38451847,38451877,48353713,58200059,58081984,51902480,51902479,46710593,46710592,58082099,58081933,46710429,36828061,28331956,255521325,16912837,23177482,30596493,38482181,29922140,29922138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8013197, s2 = 8308309, dlinesl.size( ) = 18 s1 = 10350854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8189519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9832861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8256845, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 287808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10166121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9811883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8524092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6744518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6744518, s2 = 8034557, int(edited[s2]) = 0 s1 = 6744518, s2 = 8034557, d1 = 46, d2 = 96 Dl.O(d1) = 258014196 Dl.O(d2) = 125997635,112161483,112161482,112161489,259360568,70751149,70751148,258111788,99529890,113541195,127411542,140767343,153447485,261705410,185433042,177862100,177862101,177862106,177862102,177862103,262221260,155731307,155731308,272901175,143177466,129846239,129846238,143177446,129846223,115946323,115946324,129846225,143177450,143177451,143177442,129846219,115946336,101900089,271394005,101900080,87926047,87926046,101900077,115946319,129846216,123783784,109595064,95342021,81284717,67817435,55474964,44624882,35241485,27144605,20235764,255755279,27144591,35241464,30718037,23300613,23300612,18206833,18206835,24669972,28616169,24670008,18206864,12913611,12913612,18206865,18206888,24670038,257168036,256099962,37839172,37839187,47761651,42557586,255639186,63974256,52149686,41831062,41831061,48779681,48779682,48779686,48779685,54678628,54678627,59160307,255639212,62933556,51260731,41324754,32478385,24837772,24837771,32478382,31907733,24376232,255142820,8657888,8657891,12740537,9214600,8857117,5772808,5772807,8857109,12973305,12746346,11733872,7834087,4972843,4972845,7834091,8855826,5771917,5771918,8855832,13007705,16442105,255484459,256228088,41792203,41792204,48508522,38593709,38593710,255137864,17192942,17192929,12089477,12089476,15148712,10447804,10447807,15148719,21089356,22176911,257013961,30615068,30615069,28939267,28939268,255342018,39211673,30615197,23194825,16927194,254815407,5034047,5034050,7918139,11847132,11847080,11847079,16927120,23194702,26665936,34657737,31814602,26665951,19850554,19850553,26665948,23195001,16927314,11847213,11847214,16927316,23195004,30615461,31289103,31289102,39964089,49980616,48168836,38259266,29693604,29693603,30615088,30615084,257013963,58702595,49042915,39113242,39113241,47644606,40639449,31923531,24390533,17990601,12751396,12751395,17990598,24390529,31923525,39211988,39211990,49138768,39212003,255962296,30508165,30508167,39104796,49034288,50698590,49138778,49138777,48169565,38260063,38260060,48169560,38260337,32308343,32308342,32308961,24695821,24695820,32308959,38260072,43416697,34315576,34315577,39352222,257027220,33231473,25482844,24363616,17968176,17968175,24363613,25082410,29513902,29513901,255850804,13453539,9200443,6023757,6023758,9200446,13453545,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5821773,5821777,8920985,8092974,8092975,12038000,12037997,9716638,9716637,14123370,11228162,7450259,4707253,2835711,1645082,935459,527196,527195,935454,1645074,2835693,254529005,11228017,7450215,4707233,2835701,2521744,2521741,4217765,6731946,254995031,20793776,27955198,36413395,29656679,22304866,16158887,16158888,22304870,24054785,24054784,28721121,28721120,36518066,33448063,25677209,20884304,14981604,14981603,20884302,21656211,28933933,37475447,42441253,33448168,25677190,19055198,13603178,9314732,270311142,28436589,28436588,36935594,28436607,21211876,21211877,21211859,21211860,256306653,23595003,23595004,31078300,36935667,256845565,31416603,31416604,268972471,59316660,47923607,38008644,258114187,85639085,99589160,102335443,262366171,178187785,187413325,195440463,202305449,208076522,212835203,216725783,219950584,222671840,222671817,222671816,225008111,227037080,265716380,222671821,222671822,225008117,227037081,228807121,228807122,265903791,227037076,227037077,227037082,227037081,228807121,228807122,265903791,228807120,228807125,230366637,230366639,228807126,227037093,225008128,225008113,222671819,265194726,264753154,264577881,216725765,274294951,265194730,216725781,219950580,222671812,219950550,219950551,222671814,265194728,212835188 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6690054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6690054, s2 = 7348664, int(edited[s2]) = 0 s1 = 6690054, s2 = 7348664, d1 = 75, d2 = 98 Dl.O(d1) = 257405305,28169259,28169260,23023790,23023792,23023756,23023758,30429348,39018614,39018650,37848631,37848634,38999882,38999883,36644582,28169222,20988837,20988838,28169227,28169232,21350583,21350584,23023811,28580042,37084526,40863605,32092471,24518100,18087136,12822725,12822726,18087142,24518107,28526803,21304862,21304861,28526799,37024794,39018695 Dl.O(d2) = 265701449,224187684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14217045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6597140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14217052, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16228883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8424964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1202950, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11648346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648346, s2 = 9701191, int(edited[s2]) = 0 s1 = 11648346, s2 = 9701191, d1 = 26, d2 = 30 Dl.O(d1) = 223910429,221433320,218543890,215109637,210938384,205833507,199661050,192364024,183888860,174218516,163365418,151481678,138780352,125451402,111648781,97728053,83869093,70343834,57653275,46308537,36455678,27997263,256269961,36552911,28083995,20910885,15005713,10335743,6803242,4266497,2550802,2550800,3466867,2055738,1179315,1179316,2055742,3466874,5588206,254420919,3467282,5588622,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838669,6838788,4290943,3709542,2565432,2223951,1332920,761223,761221,1332914,2297219,3834360,3180190,1861494,1861496,3180179,5212575,8135747,5352857,5352860,6832430,6832429,10370317,15043122,13323193,13323191,254770300,268401924,36475354,269294211,257997459,83893861,74911895,269891397,50608596,40567258,31865395,256560851,50608595,62107761,74911894,88550533,102557108,99518544,85571880,71984776,59247548,47850937,37930985,29364541,22034019,15932585,11055636,7330723,7330722,11055633,15932579,17832954,17832956,24202489,31710189,40402365,50436491,47850929,47850928,59247535,71984770,59733107,48349007,48349008,48348837,38446596,37930970,37930971,33389080,25623395,25623394,33389077,255241854,25195351,18633539,13247915,13247916,254638492,22034009,22034011,29364533,37930935,37930936,256102498,29364528,29364530,37930974,29364526,256376949,47850925,59247531,257549464,256425566,38446597,255106054,22033993,16361636,16361635,22535556,29890098,32906814,25195353,22535649,16361694,16361695,22535651,29890228,37930931,37930930,29364538,22034017,15932584,15932583,22034015,29364535,37930980,46926137,41832172,32906804,32906806,29890117,22535571,16361642,11386247,11386246,16361640,254789156,29890095,38446588,38446769,255106852,16361697,254789700,29890233,38446767,48349005,59733104,59247540,257550810,37930982,29364536,29364537,29890229,29776033,29776034,37930978,29776717,22412423,16248305,16248304,21324044,28548359,37048046,46926139,38446608,29890110,22535567,22535568,29890113,29890107,22535562,22535563,254789510,11296187,16247959,22411920,29776036,38347727,48258273,59645205,72379681,59732902,48348840,48348841,269815401,59908809,59645201,59645200,71906225,85491118,99432712,113434658,99432694,99432695,100030601,113954719,99931966,85974410,72379677,59645198,59645199,48259418,38348601,38348602,48259421,59646623,59646624,59646627,72381575,85976908,99935068,258782268,85976901,85976900,85976897,72381567,72381566,85491121,259407508,71906204,71906205,258215930,99432690,85491090,71906202,258102890,47769583,59168195,71906199,85491084,86250459,259407511,85976913,85491103,71906214,71906213,59646620,48259407,38348598,256950115,59168197,59168198,71906206,85491092,258215932,113434653,99432708,259970161,113434673,113434651,259407512,85976904,85976905,99935067,99432677,99432676,99432707,85491113,71906219,59168209,47769591,37846854,29279475,29279476,256913085,59168216,71906230,85491126,85491115,71906220,71906221,85491116,99432709,99432718,85491129,71906231,71906196,71906197,85491076,99432670,113434643,99432705,85491109,85491098,71906209,59168200,47769586,47769588,59168204,71906211,85491100,99432699,260570243,99432702,85491124,71906228,71906229,71209826,58488281,257166606,84778461,73174919,73174920,71906242,59168224,47769598,37846859,29279478,21955015,15863531,255439443,29279473,37846849,47769580,59168191,60740622,49337302,49337303,49782595,49782596,61261372,74041052,87108759,87108760,101107010,115185491,127293266,113529741,259358309,71984877,259976565,127399515,140755030,153435233,165235675,155440590,155440589,272216726,129538709,115652336,101611267,87644314,87644315,101611269,115652337,129538711,259394008,101611271,99432721,85491134,85491133,99432719,113434675,127293268,140639076,127399507,127399508,140755026,153435231,165235673,153435236,140755036,272563722,140754993,127399476,113529704,113529703,127399474,272551475,140755040,153435237,261702922,127399477,113529706,99518607,85571936,259358307,113529708,127399481,261153710,260576673,113529747,127399520,140755021,127399504,127399503,140755019,140755039,127399521,113529749,113529750,113529739,99518638,271328753,127399510,260065988,259976562,269803574,73279920,71984847,59247648,59247649,71984849,85571938,259976561,259976569,71984891,71984890,85571974,99518644,99518626,99518625,113529727,127399501,261153709,127399483,113529752,99518651,85571993,71984913,71984914,71984878,270315647,85571971,85571939,71984851,257499569,37931249,256919309,59247653,71984854,85571942,99518613,99518646,85571980,71984893,71906234,71906235,59247711,59247712,71984868,71984909,59247702,47851131,47851132,59247671,268659196,47851106,37931265,29364967,22034525,15933134,11056139,11056138,255444689,268630079,29364982,37931289,46622238,57998262,59247716,59247699,59247700,71984908,85571990,74041049,61261371,49782593,47851128,37931279,29364976,29364975,256919317,257013564,59247545,47850934,47850935,59247547,71984775,85571879,99518543,113529654,260923940,99736651,85782967,72188913,59451027,257993464,38146800,38146799,31987039,31987040,40735882,256060325,18040270,18040271,24382916,31915007,32020254,24458911,24458912,24458942,18040313,18040314,24458946,32020283,24733754,24719924,18246739,18246740,24719926,24458886,18040278,18040277,18246730,18040299,18040298,12788060,8693695,8693696,12788063,18040333,24431977,18018688,12770798,8680462,8680463,12770801,18018692,16961017,11872895,7936393,5046743,5046744,7936395,11872903,16961024,23233774,18264906,12961364,12961363,18264904,24458955,18040321,12788055,12788054,18040317,24458951,24737883,31915010,24382917,17983619,12745246,12745247,17983621,12788032,8693679,8693677,12788026,18040272,24458882,24727996,24727997,21685005,15645843,12943900,12943899,12951105,12951106,18254288,13474758,13474759,18898234,13466602,13466601,9208836,9208835,12947894,9208833,6032697,6032696,7156710,4507286,2708470,2708474,2708605,2708600,2263120,2263124,2263120,1569385,892407,892403,1569288,2262320,3776371,6036196,9218345,13476967,18908594,25509907,25509908,33270512,41167857,49135705,51025663,40888254,256066371,24537461,32114630,40888253,51025665,41308233,41308234,255694060,58805672,62651863,71535776,58806737,47419434,37511657,37511655,37511656,41801693,41801692,51025674,58800281,62651873,51025677,40888264,256066373,18104216,18104215,13146885,8960508,8729266,5682956,3535138,3535137,5682954,8729261,12837020,18104212,24537463,32114632,40888258,51025669,257105168,62651875,51025682,40888271,40888272,48587603,41308236,40888240,40888241,41158420,51343423,59143742,47745049,37823037,29258043,29258042,24736897,18263812,18263813,24736898,32352838,29258087,29258088,37823075,40888260,40888259,51025673,51528322,41308227,41308226,37823217,29258231,21937449,21937448,29258040,21937442,15849564,10984303,10984305,15849566,15849452,10984224,7270696,7270697,10984226,268395911,15849599,10984332,10984333,15849575,10984311,10984235,7270700,4585125,4585126,4585122,254231925,1599181,2758553,4585124,7270699,10984231 Dl.O(d2) = 105860867,91652828,77725162,257239832,105847277,105847316,259037981,64531555,52632696,52632680,52632681,64531531,77712549,83833023,70307865,57617200,57617199,257207396,91639546,105847301,91639554,77712566,77712567,259664845,258410835,52632694,42247457,33268043,25507418,18897096,18897097,25507419,33268045,42247461,52632698,64531558,64531560,64531561,77712583,77712578,64531556,64531557,77712580,91639573,105847326,120059745,133903315,120059727,260876003,133903316,260637249,100385986,100385987,114409002,120059754,120059755,120059743,105847323,91639571,91639572,91639585,77712585,64531563,52632701,52632702,64531565,77712588,91639587,105847344,120059739,120059738,125454232,120059751,105847336,91639579,91639580,105847338,120059753,133903334,120059757,119983773,119983772,133850042,261976979,147128202,133903324,261443105,159468295,151484353,151484352,138783006,125454225,111651712,97730940,83872112,70346918,70346917,83872110,97730936,97730945,97730944,111651713,125454215,111651702,111651703,272160449,260828748,109387434,97730953,97730952,95132706,95132705,109387422,123579581,133850035,119983765,119983766,113408474,99407420,85466565,71881920,59143772,47745097,257490729,258724349,99407418,95132715,81074180,81074181,85466563,81074174,81074175,81074167,67605926,67605893,55264219,257906973,55264230,55264229,67605902,67605884,258527287,81074150,67605886,67605885,55264228,44416676,44416675,257906977,67605939,55264259,44416693,44416692,55264257,66015628,79383963,92585114,78537587,65247582,55264202,44416658,35042286,35042287,42643177,33616158,257229147,59147865,47749281,256369061,29261637,37827061,47749278,59147864,71885796,270831579,92585109,92585108,106903938,259968364,259968103,85470361,71885778,59147849,59147850,59147875,47749287,47749288,59147877,71885805,71885806,70885956,58171707,58171706,47749273,37827058,29261636,21940314,21940312,29261632,34755244,34755243,255064470,37827062,47749283,59147868,59147870,59147871,71885802,59147872,59147873,71885804,270313460,83917185,72560345,72560344,86158609,97775344,97775343,111696789,259525523,88158830,102149404,259417530,57697209,57697210,70391109,70391106,83917203,97775360,111696799,111696798,97775358,97775359,85658379,85658380,99607833,271751235,116354790,116210495,116210494,129077816,260395783,95118159,81060657,67592884,258525831,88158811,74544307,74544306,88158809,102149386,109371880,95118183,95118178,258746620,67592898,55251209,44403280,35027869,26947126,26947125,35027868,44403279,55251207,67592885,74544304,61760894,258279111,88158806,102149383,102149394,260140429,88158817,88158793,88158794,102149374,260737155,102149397,270407084,73589943,60840288,60840289,73589945,73589951,60840297,268977283,30900117,23466367,17186616,17186615,23466365,17186619,17186620,23466372,255988642,49438608,47397083,37488684,37488683,47397082,58785118,60840282,60840283,257036406,258024167,257617582,88158833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648346, s2 = 9701191, dlinesl.size( ) = 2 s1 = 11648346, s2 = 9701191, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11648346, Dl.E( ) = 32, 1.72e-05 seconds used appending s1 = 7975125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16189678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16189678, s2 = 16324470, int(edited[s2]) = 0 s1 = 16189678, s2 = 16324470, d1 = 57, d2 = 60 Dl.O(d1) = 35122382,35210528,35210529,44590921,35210518,27118623,27118622,29245713,36893391,28396021,28396020,36893390,46771679,36893387,28396019,28396018,36893385,46771677,58139529,70853981,84411597,98321142,112303965,123620463,259245550,95170293,81111911,67645642,55306710,44461676,35086372,27001506,254996620,14422834,14422833,20111549,25489924,25489923,33239480,42200533,46295196,57639469,70329663,58584453,47193125,37284650,28750352,28750353,37284652,34171804,26303925,26303926,34171807,43261772,46295142,46295141,47709295,58153479,58584474,58584475,57639474,46295206,36442229,27983166,20818965,14921784,10260787,6742642,4225097,2526383,2526384,4225100,6742644,10260792,14921792,20818974,27983181,36442241,46295155,36442183,27983130,20818945,14921773,14921771,20818942,27983129,255782874,256082008,27983124,20818936,20818937,14921778,14921777,20818951,27983146,36442201,37284654,37284655,47193128,58584458,58584463,57639416,47193145,37284678,28750374,21490969,15485307,15485306,21490968,28750369,37284672,47193140,58584470,257995087,46295189,46295110,36442155,27983105,27983104,36442151,46295107,57639363,70329597,83854756,97713608,111634798,125437720,111634834,97713645,83854791,70329626,57639403,256593828,46941674,46941673,58308082,57639438,46295172,46295171,46295162,36442188,27983137,27983138,36442192,35430630,35430629,44868546,47193171,37284701,28750388,21490973,21490972,21490979,21490978,28750397,25893421,19233817,19233815,25893417,33699422,42729134,53178569,48391718,48391717,58308075,71023586,84587787,92483708,78446254,73398866,60652606,60652608,73398870,87014258,259314665,71317868,71317870,84891885,73270703,257386336,49124555,60525661,60652593,73398857,258210971,257022929,39326144,42729141,53178577,258443601,78446240,65163293,257234363,42729137,53178571,65163290,78446234,92483691,100148903,114179148,128065906,141431396,260028488,115937586,259934075,71317937,58584488,58584487,47193154,47193155,58584494,49252288,49252287,39326149,30728432,23310404,23310401,30728428,39326143,49252296,60652596,58584429,58584428,58584481,58584482,58584521,58584520,71317967,84891939,92483689,92483695,106791119,92483693,86186045,72588374,59850520,59850519,72588371,74313691,61536893,61536892,74313688,87917251,101891405,99305438,99305439,99305434,87014247,258210973,49252299,39326145,39326146,49252301,60652602,71317877,84891888,98819086,112810299,112936591,98947408,85022299,71450247,58719845,58719847,71317871,71450257,85022316,85360474,71770673,59027941,47625245,47625246,59027945,59507961,72242562,85834561,86186054,86186056,100148909,112810344,100886227,86906082,73295813,60552660,60552662,73295815,84891886,71317964,71317963,73398864,73398863,87014249,101007705,112810298,126667333,112810349,112810348,112091610,98131639,98131638,98947427,85022327,71450267,58719859,47331381,37423108,28881058,28881056,37423106,47331379,58719857,71450259,85022320,98947420,101891500,92494576,78456951,78456948,85022306,98947409,112810293,98819072,98819071,112810290,126667328,114937941,114937940,101891417,87917271,84236789,84236788,86303524,86906083,100886231,114937947,128837225,115078742,115078741,115078740,115078739,114295718,114295696,100265626,86303494,86303495,100265621,112936600,98947422,85022323,71450261,71450262,60378226,48981483,48981484,60378230,73118174,86723585,86303489,86303488,86303503,86303502,85606107,85606108,99556449,86906077,258162916,60552659,60525665,60525664,73270705,86882390,73292779,60549693,49150380,39223833,39223834,49150386,48577752,48577751,59969409,72706512,86303558,73295799,60552640,49153218,49153219,60552645,59969451,59969450,72706545,78623467,92677949,100692568,86902886,86902885,100882698,259661776,86716197,86716198,100692565,107010289,98476222,84554378,84554379,98476226,98476212,84554366,84554367,92677952,78623471,73270716,60525676,49124561,257593253,63868111,60549707,49150399,39223842,30626108,23203684,23203685,30084576,38661794,48577757,59969449,65326580,53328769,257834501,74632163,61839963,61839961,74632160,88262521,86716211,73110517,60371086,48975141,39053416,30463783,30463782,39053413,48975136,60371082,73110514,269004376,58276820,46911698,46911697,58276815,256037430,92677969,78623491,65326592,65326594,60525673,60525672,73270709,63868117,52048974,41734442,41734444,39223838,39223839,48577747,48577746,269334716,86303579,78623481,78623475,78623474,92677954,271588917,98476232,84554387,84554389,98476234,112466181,121302404,107010299,92677942,92677939,86716201,86716202,84554386,70991329,58276832,46911712,37034544,28536415,21313518,15343120,268205809,28536417,37034550,46911722,58276845,70991337,78623488,78623487,86902882,73292782,60549697,60549696,70329534,60589727,49189436,49189437,60589729,73334106,86944943,86944933,73334092,269293346,58276835,70991332,84554392,92677936,100927620,86944938,73334097,73334098,86902875,73292770,60549680,60549681,73292765,60549676,49150369,39223828,30626098,30626096,39223826,49150366,39223848,30626116,23203689,23203668,23203669,23203662,23203663,30626083,30626085,39223814,49150355,60549671,73292757,70329540,57639304,46295048,36442095,27983064,20818895,20818896,27983067,36442102,254480208,30667710,27975096,27975097,36433924,36442123,39223797,30626070,30626071,39223801,38650407,38650408,48565773,49150372,268923808,23203679,16933600,11851549,7921083,5035924,5035925,7921085,11851553,16933608,23203691,30626074,26303928,26303929,34171810,43261778,53777566,65837690,70329544,57639311,46295055,254704034,20818898,20818899,20111552,267784348,6520682,4085650,2444364,1413335,804143,804147,1413264,1413266,1413126,1413125,2443926,4084804,6519353,9919536,9919885,9919884,14421421,254976165,9921480,9125974,9125975,254695291,6569843,9996460,14527780,268075334,9384231,9916886,6517272,4083554,2962095,1717833,1717834,2962098,4913953,5969011,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,740038,1296642,2235888,3734443,5971676,3850741,2307098,2307097,3850740,6154386,268030987,8636148,7758889,4913974,3734391,3734392,5971604,4913908,4913911,7758817,7038087,7038088,10657836,268207395 Dl.O(d2) = 266582775,266725617,238781634,239392105,266901329,240962165,267119915,242770262,242770263,267142090,243656379,267206770,243380091,243380090,243656377,243656380,243380099,267106664,242432414,242432413,267026424,241673387,241245813,241245815,241673391,242068491,267067836,242432409,242068488,242068487,241673395,241245816,240783871,240285633,266766508,239168431,238535570,237844626,237084698,236252660,235340720,234340338,266058808,232026763,265794382,229165351,227452431,225494405,223244024,220641844,217582783,213917392,209453063,204011934,197489779,189829911,180946611,170822788,159490833,147128490,133903645,120060080,105847693,91639942,77713006,64532027,52633178,52633179,64532028,77713008,91639944,105847694,120060082,133903650,147128500,159490848,261447600,159490836,159490838,147128493,147128492,159490836,170822791,170822794,170822796,262480478,197489792,189829920,180946617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16189678, s2 = 16324470, dlinesl.size( ) = 2 s1 = 16189678, s2 = 16324470, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16189678, Dl.E( ) = 62, 2.29e-05 seconds used appending s1 = 13576525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13576525, s2 = 6619120, int(edited[s2]) = 0 s1 = 13576525, s2 = 6619120, d1 = 22, d2 = 14 Dl.O(d1) = 85546900,85546901,99493672,113504806,259862876,258617686,113504807,113504808,127374844,123546941,109355139,95100722,81042995,81042993,85546892,71959123,71959124,85536393,85536392,86406415,72811322 Dl.O(d2) = 256606774,256606776,64402188,52528718,50487875,50487876,42513118,256897555,37637016,42912772,33867143,26045039,26045036,33867138,42912767,34276582,29660942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13576525, s2 = 6619120, dlinesl.size( ) = 2 s1 = 13576525, s2 = 6619120, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13576525, Dl.E( ) = 30, 2e-05 seconds used appending s1 = 14159034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7897692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1201177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6618651, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9813335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 306566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2324732, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1987008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14159116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13713055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056483, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2478915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8126703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8126703, s2 = 10351813, int(edited[s2]) = 1 s1 = 14159191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8307157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8307157, s2 = 8555849, int(edited[s2]) = 0 s1 = 8307157, s2 = 8555849, d1 = 42, d2 = 39 Dl.O(d1) = 48265910,38354892,29782131,22416522,22416521,29782126,31153144,39835845,40460203,38354879,38354880,39011511,39011512,30422016,23016667,23016666,30422013,39011525,34210880,34210881,31660626,31660628,40355602,48657759,38736597,38736598,39011517,30422007,24150136,24150137,31660619,31660615,31660614,40355582,31765674,24253716,24253715,31765671,40460169,50496054,43309182,34210872,34210870,257265471,257580078,62607928,75545977,88297792,74672300,74672299,75428123,62509378,50909064,40792193,32034958,24472240,24472239,32034957,40792188,50909060,62509377,58272273,58272272,58272291,255522482,28531676,28531673,37029807,46907077,58272269,61880194,73283180,60539208,60539207,60539443,58272255,58272256,60539190,62607936,62607935,75545982,84549637,70986650,70986649,257014048,58272289,58272288,55477720,44627954,35244281,30676573,23260407,23260408,30676578,39272990,49199175,47445389,37537348,37537347,37537371,37537360,37537358,47445405,58831453,60539437,257014053,30616044,23195430,23195432,30616048,39212665,49139491,49139945,49199180,60599891,73345017,73283349,60539446,60539447,71558885,85129372,86894234,86894235,75545971,62607924,58272247,46907065,268423582,70986646,67819609,55477719,44627952,35244278,35244277,44627950,49139259,49139258,60539205,258202434,85129339,71558858,71558857,268659272,73283687,85129344,71558861,58831448,47445399,47445398,58831445,60539841,49139948,39213141,37029802,37029803,255968342,58272243,70986643,255968356,60539868,73283716,73283341,70986656,58272253,46907068,37029799,28531670,21309015,21309017,23195743,30616446,39213135,49139935,255968338,86894219,269368518,81148593,67682484,67682485,73283699,60539844,49139949,49139950,60539848,73283703,84549576,256469364,60539833,49139942,49139941,60539831,70986668,84549646,75427921,75427922,73283360,60539472,49139539,49139540,58272184,58272185,58272298,46907097,37029818,254815422,15339149,15339148,16927877,23195749,30616454,39213148,49139962,49139966,60539870,58272242,46907062,46907061,46907195,46907194,58272250,70986652,70986654,60539850,49139954,47921689,47921688,59314944,72049904,73283362,257014062,58272173,70986588,70986746,70986776,70986638,255968332,46907060,256469340,58272165,58272164,58272176,49139981,49139978,49139963,49139964,60539866,60539877,60539878,50390553,40355636,31660649,31660651,40355640,46907125,58272342,70986738,70986609,58272207,58272208,70986610,84549606,70986782,70986691,70986692,58272374,46907170,37029864,28531701,21309031,15339154,10594621,10594622,15339160,21309038,28531715,37029882,46907199,49139415,49139416,58272165,58272164,58272176,49139981,39213159,30616462,30616463,39213161,49139982,60539347,49139410,39212585,39212586,31660647,31660645,40355629,50390546,61880200,70986622,58272221,46907041,46907042,58272225,70986627,84549618,98471515,98471522,88297778,88297777,78839329,65506962,53483983,43006472,43006471,53483981,65506959,78839324,84549582,98471494,98471562,84549711,84549709,98471559,112461660,116380879,102291146,88297762,74672272,61880188,50390540,50390541,61880192,74672276,84549696,98471544,112461647,102291161,88297781,88297780,86677476,73072858,60332370,48934507,39011068,39011067,48934503,60332365,73072853,86677466,78839344,65506969,65506968,58272327,46907118,46907117,58272326,65506987,53483996,43006478,33950211,33950210,43006475,53483989,65506978,78839354,84549740,98471580,258811300,121733808,259435346,84549542,73072838,73072836,86677451,100650300,88297765,88297766,88297770,102291152,116380884,112461640,98471538,98471539,102291165,98471467,92946526,84549538,70986550,70986551,259911793,109596367,95343421,84549674,70986711,58272322,58272321,70986706,84549671,78839367,65506982,53483991,53483990,65506973,65506974,70986573,70986572,84549569,98471484,112461614,114695721,271358978,258665793,58272143,46906996,37029762,28531653,28531654,37029750,46906991,58272132,70986534,84549525,98471430,112461586,98471473,84549559,70986563,70986562,70986566,58272152,58272153,70986571,84549564,95343427,81286471,67819688,67819687,81286459,81286460,84549659,84549665,84549666,88602286,102609682,107351960,92946515,78839360,78839359,92946503,92946504,98471480,98471479,112461611,126327940,126327936,112461597,98471455,84549545,70986557,58272149,46906999,37029759,28531650,21309002,21309001,28531647,37029755,46906995,58272139,70986544 Dl.O(d2) = 260652380,145865495,132648282,132648283,145865498,158233328,169608919,179805217,188783487,188783485,179805212,261228034,169608917,179805216,272878558,145865482,145865481,260652372,261228036,260652370,145865478,132648269,118831436,269362560,76630905,63550354,63550355,76630908,90489451,104652316,118831446,132648283,260652374,158233317,145865493,132648280,118831444,258811192,145865490,132648281,260052266,145865483,158233317,273215635,263584796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8307157, s2 = 8555849, dlinesl.size( ) = 30 s1 = 9818985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13462723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8648603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3779822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8300542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15051974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6872741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1596633, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9031065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1094923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1094923, s2 = 14199287, int(edited[s2]) = 0 s1 = 1094923, s2 = 14199287, d1 = 3, d2 = 1 Dl.O(d1) = 46730445,36847480,28350111,28350110,36847479,36568217,36568218,28227146,28227147,22202940,22202939,29546461,270841860,109356691,95102721,95102723,109356696,123548153,137280211,150321970,261549085,137280221,150321963,150321971,137280212,137280198,123548130,109356679,109356680,123548131,123548140,109356687,109356685,123548138,260985877,150321977,162457589,150321967,262079521,273105222,109356673,109356674,260394169,137280203,137280218,140907031,127552532,127552531,137280219,123548158,109356701,95102726,95102728,109356704,123548161,123548164,137280196,123548128,109356676,95102711,81045500,81045501,95102713,109356678,95102722,95102723,109356695,109356697 Dl.O(d2) = 95102728,109356704,123548161,123548164,137280196,123548128,109356676,95102711,81045500,81045501,95102713,109356678,95102722,95102723,109356696,123548153,137280211,150321970,150321975,150321976,140907032,127552532,127552531,137280219,123548158,109356701,109356700,260985877,150321966,137280201,123548134,109356683,95102718,81045503,81045502,95102716,260394163,109356682,95102732,95102733,109356708,123548159,123548136,109356684,95102718,81045503,81045502,95102716,260394163,109356682,95102732,81045512,67577674,257304421,268547165,20040137,255738989,257304419,32018901,24457785,18039444,12787358,8693161,5657880,3518439,2092830,2092827,3518431,5657867,8693136,12787317,18039381,24457687,27960475,36418459,46271094,256486189,23413426,23413425,256314350,38135685,255135334,30498525,39094369,30727261,23309444,17047868,17047869,23309446,30727266,39325079,30843063,23413208,23413209,30843065,39447441,39447589,39447590,257592024,25831186,30843073,39447450,49375908,49375788,39447284,30842890,30842891,39447287,49251382,49251383,60651851,49375866,39447397,39447396,49375862,58743776,58743777,49375906,39447446,30843069,23413211,17137771,12044031,12044032,17137773,23413217,30843078,268525410,49375912,49375911,49251374,39325062,30727254,30727253,39325060,48049230,38135697,29569428,29569430,30250679,38834335,47356409,37449810,28910187,21635558,21635559,28910193,37449818,29698235,29698236,38264099,48173607,48173613,38264105,38264104,254938750,25831160,25831161,33633864,256477666,35411877,39447445,49375903,53839302,43315267,39447482,30843094,30843095,39447484,49375932,49375917,39447455,39447454,49375914,53115244,256802688,25831157,25831158,33633857,27286768,27286769,35411891,30250714,22855952,17138543,255149453,8097232,5187471,3164788,1852601,1057277,1057276,1852599,3164785,5187465,7950097,5056184,3063186,1785617,1018213,254175259,3063185,5056181,5086232,5043581,3054006,3054005,5043575,5042794,5042791,5055538,7949364,5055532,5055531,7949361,11875791,7938861,5048831,5048832,5048868,5048869,267983857,7783453,11674517,7787272,4937030,4937029,7781270,5309441,5309443,7782630,4938349,2979911,1729807,983363,553613,553614,983367,1729811,2979919,4936904,2978910,1729153,1729154,1727138,1727133,2975869,4932840,4940146,4940145,2983243,2983242,4936136,4936135,2978679,2978680,4936621,7781218,4934572,4931757,2975029,2975030,3273403,5325681,7780923,4931454,2974783,2974784,1727209,1727210,1728040,1107492,621492,621491,982375,982372,1728098,2977340,4934697,4931605,2978059,1728548,1728550,1728522,982604,982605,982569,553914,309956,171438,171439,309963,553930,554198,984474,982729,553269,553271,982735,1728745,2978307,4936042,7785599,11676967,12311727,254969922,5365753,3298597,3298598,4935594,2977978,2977982,4935612,4941020,2981662,2981660,4941011,7792716,7792161,267984051,10847748,7171412,7171413,10847750,7792380,7792381,11681245,11681246,254824158,267840728,9168847,11679539,7974334,7974332,11919826,11689001,11685345,7792342,4940685,4940682,3064396,3064394,3064373,3064372,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,1795998,1795999,3078039,5075807,5387978,5387979,8347908,12355743,16189648,11931632,7984630,7984631,8349234,8349233,8179893,5249521,3207144,254391303,8179895,8185182,8185183,8350049,7979246,5078277,5078276,7979244,11925313,17011163,17820645,12617338,8564694,7162490,7162491,10835337,11584710,10760103,8354117,5392266,3315768,1950527,1114288,1114287,1950522,3315759,5392249,7971288,5390740,3314864,1950039,1950043,3314883,5390768,267844705,3315355,5388932,3313708,2030575,2030573,3433263,5547556,8548985,12598074,17797629,24165374,31674883,29765279,29765280,38335828,29765115,29765114,24115932,268446775,17754922,12563059,8518221,5516475,5516474,8518218,12563050,17754880,268446773,38335880,29765180,22402573,16240623,16240624,17663264,255822706,38335727,38335728,44776705,44776706,47359365,37453109,28913841,21639623,21639624,15607983,10798310,7134660,4491813,4491812,254741611,15607976,21639616,28913826,37453083,47359338,48858651,60251414,72367445,59633224,48246385,48246384,59633222,50335631,40309647,31621233,24115890,17754884,17754883,255751968,31621313,40309717,47265810,48245914,47353358,47353359,38336148,29765437,24165372,24165373,31674880,40369387,48245923,38335523,29764795,29764796,38335526,48245929,39917211,31241758,23757714,23757716,31241764,39917217,37707104,29146953,29146952,37707102,40522327,31825332,31825333,40522330,47629345,59031458,71773853,72669257,59929192,48535763,38620751,38620750,48535760,270658232,60587833,49187663,49187662,49187661,39261834,30666353,23250950,16988071,16988072,13460790,13460791,18888846,25493445,33243794,39198848,30602345,30602346,39198850,44618728,35236551,27140864,20233111,14518907,9990348,9990347,14518904,20233105,27140857,35236543,44618718,36458394,27999828,20835438,14936712,14936714,20835444,20241036,14524277,9993777,9993778,14524279,16045653,16045652,22169034,29509953,38074225,41412883,32553972,32553974,33243802,33243803,42205388,41858875,32928321,25212346,25212345,32928318,254900390,28646570,21404753,15417336,10657421,10657420,15417335,21404751,28646564,27151742,27151741,35250131,255632120,27151739,20241046,14524284,9993780,9993781,14524289,255755829,22169031,22169030,29509948,35250096,27151715,20241026,14524273,14524271,20241021,27151709,35250090,44634499,48727693,38807029,268415094,11585657,11585659,11299765,11299764,16253029,16253045,11299777,7502189,4742261,2858013,1658693,1658694,2858014,1705250,969348,545946,545947,969352,1705257,2940645,4880463,7711626,11585651,16253175,22418524,16607145,16607146,11582557,7709447,4879079,2939892,2939893,4879082,267981627,16607228,22828331,16844157,11779689,7865047,4992418,3016127,3016129,4992422,7865058,10476313,6907468,4338393,4338392,6907465,10476306,15188103,21138895,28352904,28353062,21139046,15188205,254648542,6907504,10476373,15188176,10476361,6907497,4338409,2597290,1498296,1498298,2597293,4338414,6907506,10476378,15188213,18868036,13444654,13444653,18868034,13444977,13444976,18868499,25467997,18868599,13445033,13445031,18868595,18868953,13445304,9194030,6019036,6019035,9194010,6019028,6019029,254650782,9194047,6019047,6019045,254445142,13444652,18868032,18868292,17381639,17381640,17381646,12248487,8272387,8272380,8272379,12248472,12489955,17662567,24008975,26192211,26192212,23542928,23542929,31024333,31024456,254821338,19203477,19203476,17523162,17523163,23867295,31361461,255799254,28308957,21099028,15155558,10452062,6890030,4325399,4325398,6890029,10452059,15155550,21099015,16463666,16463667,22656766,30031089,29512783,22171579,22171578,268231291,11471142,11471140,12304372,12304373,17454429,23785067,31270393,28430853,21206970,21206972,25373358,23452907,17175761,12076544,12076545,13715683,9394627,9394626,13715682,19203478,25860612,33666934,42697758,53148384,258441681,59711412,59711411,72448258,78415001,92450794,84528875,84528876,86047022,72448273,59711425,59711424,58248918,46881742,46881741,58248914,49135309,49135311,49277975,39351270,30751014,23328974,23328973,30751012,39351266,256844910,30612187,30612188,39208367,49135303,60535443,73279838,86891106,86255633,258441683,270023063,79087180,65731535,53675619,43165449,34082294,34082295,43165451,38239180,29674221,255464927,16177876,22323171,17070952,17070953,19233829,19233830,25893446,23251356,16988406,14513325,14513326,11137605,7387494,4667090,4667091,7387499,11137610,7721242,4887281,4887279,254271047,1952039,3318163,2730804,2730805,4542735,7209951,7210025,7113635,4478846,4478845,7113627,4478916,4478914,4479459,4479222,4479221,2945092,1707964,1707966,1559114,1559112,2691339,4479410,6392591,4011750,2404311,1391310,791214,791213,1391321,2404331,4011791,6392677,9717390,13709429,19195523,25851112,33655941,26438511,19699194,18061158,18061159,24483720,29606057,22255937,22255936,26435532,26435530,23262285,16998933,11912903,11912902,11912906,7968814,5070346,3073923,3073924,5070349,7968818,11912912,255427550,11674114,11912945,12239341,12239338,11674011,11674012,16715818,12243844,12243845,12228574,8311511,8311513,12305386,8316626,8270192,7900369,7900370,8267673,5334544,5332920,3278038,3278037,254587957,4738375,4738374,5367551,8318096,12239254,8264902,8264903,12238129,12229966,12229965,8311243,5362824,5362825,8311247,12305106,12313489,12313488,17465675,17371458,12239371,12239370,16621742,12236441,8262406,5330634,5330635,8262408,12236443,8549038,8549041,12598110,255489153,11673882,7782862,7782861,11673880,7799354,4945874,2985069,1733062,1160009,1160008,2026492,3428348,5542825,8544765,12294791,12240932,12240930,12241967,8267388,5575553,5575551,8263571,8257491,5327143,5327147,8257507,12229926,10029266,7455814,4710982,2838007,2838008,3415777,3415776,5529893,8531741,11959131,12273067,8287895,5346558,3285814,1932329,1932331,3285819,3286218,4712160,4713405,4401852,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365298,5347299,3286284,1932560,1932559,3286278,5347286,8288873,12274033,17415080,16165212,11232549,7453815,4709497,2837020,1645774,935825,527387,295492,163445,89818,89817,163439,295478,527355,935756,1645634,2836764,4709028,7453103,5534010,5534009,7452364,11230889,9188980,6014662,6014664,7455137,11233978,9233796,8528053,8528052,12574127,12274191,8289029,8289028,7799241,7799244,5597563,5597564,7896326,5597582,5597581,8534406,8559261,8559263,12580386,12571898,12523258,12523263,8564119,8564117,11230968,7452433,5509135,3763476,3763477,4711819,4711803,2838515,2255734,2255733,3764857,254650759,12545874,12545872,9189346,6015074,3762414,3762415,6015080,6014034,6014031,6016299,6016576,3763618,3763619,3376265,1987173,1987174,3376267,5485507,8484838,5558129,5558130,5566622,8498293,5499787,5499786,5544082,5505984,5505985,5565967,8570223,12624138,13441059,9190510,6016133,6016132,5490874,3381430,3381431,5490883,5552074,3436762,3040045,3040047,2254119,1308238,254204585,3762544,3763781,2255083,1308838,747197,424585,239677,132493,132494,239682,424599,747222,1308892,2027320,267848439,2253288,2009280,2009281,254299717,1308322,746895,746894,1308320,1137041,637929,354264,194240,106180,58455,32922,32924,58463,106195,108231,108230,198628,195101,195102,356032,641489,1143639,2000845,1146585,643204,356994,195575,195574,356972,356975,643163,648093,1155160,1156348,2012478,2012479,1150961,649408,360252,360251,649403,1157490,1660951,945040,945039,1171174,1171175,2043154,1987737,1135669,1135668,1987736,3035995,2005405,2005406,3401263,2037054,1167006,654985,363191,363194,654992,1167017,2026594,2026597,3395362,2001382,2001383,3379509,2861850,2021514,1156763,649004,649003,1156754,1314800,2001290,2001288,1156454,1156455,2021011,1998680,254276263,1162592,652389,652391,1162593,1177069,1177071,2052015,2032674,2032675,2039007,3444092,5559426,7900807,5508079,5508080,5542854,3428379,2026523,1160029,650867,360980,360979,199326,108550,108549,199323,364402,657305,1171074,2043013,3449378,5565701,268004421,255589135,26703484,27993966,20829682,19874443,19874444,26661898,19847164,19846755,17372798,12240760,11693745,11693746,16737541,14476052,9960229,8266361,5333573,5333575,8266366,10272158,10272159,11261553,11261551,12240768,8266285,8266287,5333539,3278478,3278473,5333529,8266293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1094923, s2 = 14199287, dlinesl.size( ) = 2 s1 = 1094923, s2 = 14199287, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1094923, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 13553255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8333485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8288059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14159646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159646, s2 = 10161152, int(edited[s2]) = 0 s1 = 14159646, s2 = 10161152, d1 = 11, d2 = 19 Dl.O(d1) = 137407156 Dl.O(d2) = 61529782,50050375,268957950,23855601,17512334,17512333,17512525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159646, s2 = 10161152, dlinesl.size( ) = 2 s1 = 14159646, s2 = 10161152, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14159646, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 8669535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13980433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9762267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14159727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7107743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3119150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13824719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4103889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9841357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13791351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8444205, s2 = 8613138, int(edited[s2]) = 0 s1 = 8444205, s2 = 8613138, d1 = 6, d2 = 40 Dl.O(d1) = 118845123,132660037,126397923 Dl.O(d2) = 58127839,58127847,70842287,58127831,46759505,269306683,70842288,84399619,98308946,271763999,84399642,84399641,98308971,112291431,126151639,139527094,139527095,139527098,126151609,259899963,98308949,112291404,260598268,152258791,153494457,259380196,260598266,174963672,271336718,165290301,164144821,164144822,260598270,174963670,184567813,192954658,184567816,174963673,164144820,152258802,152258799,152258801,140813671,140813670,270841798,271336720,139527108,140813676,140813677,259380194,153494452,153494454,140813669,127453513,113577324,113577325,127453514,127453524,113577334,113577333,127453516,113577326,113577327,99560816,256942758,113577322,113577323,258132182,113577331,113577318,113577319,257522588,99560820,85610431,72021806,72021805,72021804,255088188,47888514,59284935,72021802,85610418,255465620,59284928,72021797,268636280,85610433,85610432,268403728,59284931,47888512,47888513,59284933,255904394,99560804,256942752,72280747,59546274,48159284,48159283,59284940,59284941,59284939,59284938,59546265,72280731,72280749,72280744,256942760,38250111,29685059,29685060,38250113,48159286,59546280,72280745,256400722,85872797,72280741,59546272,59546271,72280740,72280754,85872805,99826525,258755290,72280753,85872803,99826523,111716581,97793833,83934770,257509934,258743006,127713166,113842397,99826520,99826519,113842395,127713162,141064174,141064171,141064172,141064199,127713198,127713199,141064200,153730973,153730955,262237841,263153297,176184286,176184287,185642640,193894999,193895000,273351610,165508051,165508050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8444205, s2 = 8613138, dlinesl.size( ) = 2 s1 = 8444205, s2 = 8613138, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8444205, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 9835913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13641621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8230475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9830153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7725970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7725970, s2 = 14366623, int(edited[s2]) = 0 s1 = 7725970, s2 = 14366623, d1 = 60, d2 = 46 Dl.O(d1) = 273821991 Dl.O(d2) = 258530564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7725970, s2 = 14366623, dlinesl.size( ) = 38 s1 = 3297382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3297382, s2 = 2665622, int(edited[s2]) = 0 s1 = 3297382, s2 = 2665622, d1 = 45, d2 = 66 Dl.O(d1) = 105530140,260266295,133633303,261430331,271983495,259022461,64242261,52386363,52386362,64242260,77393163,91312181,101051529,101051530,115126373,260009000,261186212,261430267,119763569,119763568,261430265,159257190,148011652,148011653,160259612,171474125,166924059,155238901,142601632,133633331,119763555,260862161,261263297,260090139,101224255,111739210,125545452,138878293,261263303,115302487,259473801,73601086,60851431,49449602,39517618,30908668,30908667,39517617,39517620,39517621,49449605,60851435,73601098,87223282,260090141,261263305,262318031,177462994,186770127,263958019 Dl.O(d2) = 107635679,107635680,122010750,123979813,123979812,135939052,135939051,128186593,114304238,100274462,100274461,261010531,123979808,131417798,131417800,117616781,117616782,131417801,140027421,140027422,261751242,123979856,261010539,123979859,109840225,95636716,259809195,123979863,126674263,123979858,123979857,112817330,98826254,98826255,89391928,75630768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3297382, s2 = 2665622, dlinesl.size( ) = 2 s1 = 3297382, s2 = 2665622, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 3297382, Dl.E( ) = 68, 3.29e-05 seconds used appending s1 = 11651312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9556103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11651846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7357948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8830943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8884971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8886936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8727741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9812947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9845153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9846329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9846329, s2 = 14650990, int(edited[s2]) = 0 s1 = 9846329, s2 = 14650990, d1 = 16, d2 = 14 Dl.O(d1) = 229163577,229163578,230677031,232025326,233239837,233239848,232025333,230677034,274577697,233239852,233239896,232025366,230677055,230677054,232025363,233239889,234339247,233239881,233239883,233239885,233239874,232025353,232025352,233239868,232025348,232025346,274617122,232025345,233239861,234339234,235339762,266384628,234339241,233239875,232025355,232025354,232025348,230677046,229163586,229163585,266057307,232322319,231008530,229542755,227892643,227892645,229542757,231008533,266199101,234586899,235339761,234339268,233239903,232025369,230677057,229163594,229163595,230677059,230677070,230677069,232025385,232025358,230677051,230677052,232025344,232025320,230677029,229163577,229163578,230677031,232025326,233239837,233239848,233239847,234339221,234339236,233509099,232322324,231008534,230677042,229163584,227450207,227450209,229163588,266057309,265679115,223863158,221380580,218483226,215035474,210844126,205713327,199510983,192183040,183675502,173959735 Dl.O(d2) = 151077860,138262685,124787412,110830957,96768664,82812831,69291933,56726144,56412213,56412214,48023500,38113569,29550475,22206564,22206565,29550481,38113579,48023514,59410103,48023188,48023189,59410108,72140443,72142970,85729223,72158849,72158851,85752899,96410140,96410143,85752910,72158849,72158851,85752899,96410140,96410143,85752910,72158849,72158853,74771771,74771768,68737567,56244637,45218314,35684756,27476730,20482901,14696787,10107321,10107319,14696775,20452883,20443057,14669886,10089797,6626528,4148947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9846329, s2 = 14650990, dlinesl.size( ) = 2 s1 = 9846329, s2 = 14650990, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9846329, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 14160389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9846597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9847307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14582712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7414353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5494099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9846235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9835039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9847303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8944265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9298836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9847767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7484887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7484887, s2 = 11054384, int(edited[s2]) = 0 s1 = 7484887, s2 = 11054384, d1 = 1, d2 = 3 Dl.O(d1) = 267113821 Dl.O(d2) = 30865529,39469334,258221655,260085155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7484887, s2 = 11054384, dlinesl.size( ) = 2 s1 = 7484887, s2 = 11054384, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7484887, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7490119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7503170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13940743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8091723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7997367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 185002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14204613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 82845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9744309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13533327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7925755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7924467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8571757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10185703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11653964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7901461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7856289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160896, s2 = 8702685, int(edited[s2]) = 0 s1 = 14160896, s2 = 8702685, d1 = 154, d2 = 151 Dl.O(d1) = 16988317,11903120,7961023,5064114,5064116,7961008,7961012,5397142,5397140,8361738,12374087,17543306,255976190,28467421,28467420,28415780,21193866,21193865,28415777,28870232,28870231,37411570,30666669,23251231,23251230,21593663,15567053,15567052,16513133,16988312,11903116,11903117,16988314,23251222,21507367,15498975,15498976,21507368,15740971,10901665,10901664,15740969,15741302,14584426,10035392,10035391,7113739,4478916,4478914,4479459,4479222,4479221,4479249,2691256,2691253,4479242,7114225,10767409,15567054,21593665,28868389,37409571,38391268,29818782,22451234,16282065,16282067,22451237,23937247,17593799,12418780,12418781,17593797,17593796,23937243,24411884,28306282,28306199,21096852,21096851,22599741,16416457,11432191,255481723,256420017,48438280,40108288,255180892,23937230,31428360,29850901,29850900,32823714,37835811,34564590,26577703,26576933,19774438,19774437,26576931,34562777,34562778,26576824,19774372,14163875,14163876,19774382,26576846,26576919,24848635,24848634,19780945,19780947,26585024,23007722,23007723,23345875,21677031,17079913,11992330,8044071,8044070,11992329,17079910,23346746,19776388,14165194,267898410,18352453,24848509,26585102,34572142,37883703,34571917,26584804,19780768,19780769,26584806,34565250,26578580,26578579,34565247,29314891,29314893,30766276,23343059,19775779,14164764,14164763,267844244,23345395,17080080,255531939,255911518,11991373,9737652,9737651,14163764,19774164,26576535,19775717,19775716,26143161,26143162,268254728,26578045,22485654,16313584,16313588,22485663,23345099 Dl.O(d2) = 262847562,165347584,153557723,260761650,176038551,185509041,176038553,165347586,153557724,140882942,271425634,263537221,200860584,200860582,200860580,200860584,200860582,193773643,185509039,262378964,193773634,193773638,185509037,176038547,165347580,153557721,140882940,127527278,271331289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160896, s2 = 8702685, dlinesl.size( ) = 2 s1 = 14160896, s2 = 8702685, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14160896, Dl.E( ) = 156, 4.82e-05 seconds used appending s1 = 9674593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9749161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2398125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2398125, s2 = 14035702, int(edited[s2]) = 0 s1 = 2398125, s2 = 14035702, d1 = 1, d2 = 3 Dl.O(d1) = 65230230,268721256 Dl.O(d2) = 19183597,24978328,21318147,15347229,255396091,19449304,26147449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2398125, s2 = 14035702, dlinesl.size( ) = 2 s1 = 2398125, s2 = 14035702, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 2398125, Dl.E( ) = 6, 7.87e-06 seconds used appending s1 = 6870301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7820421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7820421, s2 = 7735863, int(edited[s2]) = 0 s1 = 7820421, s2 = 7735863, d1 = 0, d2 = 29 Dl.O(d1) = 3422145,3388558,1996280,1140840,1140838,1181850,663799,663798,1181844,2031287,1163336,1141970,640600,640595,1141952,1997991,3039542,3039543,3393675,2060828,2060827,3456579,254614705,254411693,1997883,1141880,1141877,1997875,3390536,5501017,8499493,12538132,268260665,17722209,12538123,12538122,255582515,268445815,255192931,12538102 Dl.O(d2) = 263201533,166476931,274052190,194569074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7820421, s2 = 7735863, dlinesl.size( ) = 24 s1 = 9442897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8162945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8162945, s2 = 8139292, int(edited[s2]) = 0 s1 = 8162945, s2 = 8139292, d1 = 28, d2 = 21 Dl.O(d1) = 256356503,259337191,260325513,259352618,73306584,60563006,49163241,49163240,60563005,258826831,87096339,83849972,70324296,57633516,46288858,46288859,39313854,30715693,30715694,39313858,49240628,255139622,30794420,30794421,39397247,49325428,49325427,49325477,39397269,30794434,23368435,17099947,17099946,23368432,30794430,39397262,39397235,30794412,23368426,17099941,17099940,23368419,30794404,39397227,49325437,60727501,49413494,49413495,60813741,73560191,60813801,49413563,49413564,60813802,49941694,39923945,31248385,23763987,17436138,12290044,8300089,5354570,5354571,8300092,8643556,8643557,12720878,17951539,24342296,31864723,26964233,26964234,35044507,44418838,46979831,46979830,49254420,47055766,37164913,28648297,21406250,21406249,21603363,15575524,10774178,7118867,4482223,2693129,2693132,4482239,7118906,10774255,15575670,255847593,21603855,19834136,19834138,26647638,34639147,43912575,49722358,256874778,31026401,23545472,17237867,12121087,12121086,10774293,10774292,15575509,10774170,7118863,7118864,10774172,15575512,21603348,28878690,37420312,37420676,37420675,39703559,37294155,28760391,21500841,15493729,15493730,15493738,18548109,18548110,25094940,32794123,34639149,34639150,37420682,28878969,28878971,34639181,26647672,26647673,34639185,28879156,28879155,26647707,19834181,14208543,14208545,19834188,21603530,28878926,28878931,23002084,16762350,15575735,15575733,21603671,23470267,19834151,14208529,14208530,19834154,26647665,28878959,28878961,37294244,28760447,21500884,15493751,15493752,21500888,23470280,28760374,37294158,28760383,21500850,21500849,28760404,32794111,32794117,36887294,28390544,28390546,36887298,42211824,33865480,26043441,26043442,26647676,34639189,43912609,43912624,34639201,26647691,19834168,255728913,34639204,43912630,47328850,38996416,30407130,30407129,28879117,28879118,30904908,26647657,26647655,26647654,34639160,43912585,37420668,28879107,28879106,37294234,28760437,28760431,28760430,37294228,37294153,37294154,28908427,28908426,28760398,28760400,37294194,36794047,36794046,46680141,52086863,42211829,33249755,33249756,33865492,42911079,42911099,255045402,19364581,19364580,26043457,33249786,42211861,42211847,42211846,37447481,34287789,34287788,43386894,53911116,47354446,37447806,28908446,21634109,21634108,28908322,21634036,15602578,10793898,7131354,7131355,10793904,15602587,21634049,25498733,18893138,18893137,25498728,25498766,28908218,28908216,37447454,47354038,58741635,47354456,37447810,37447811,47354463,48585499,49983119,49983118,269320350,85043247,258073516,58741787,58741849,47354256,37447624,37447625,47354231,47354232,58741817,58741721,47354118,37447519,37447520,37447829,37447828,47354086,37447488,28908246,28908238,28908239,28908259,28908258,28908268,28908270,37447530,257462819,58741729,58741767,58741770,52267753,41928917,41928918,52267755,64116772,52267747,41928913,41928912,52267744,64116765,71471363,58741660,58741659,59329881,59329882,71471453,84252777,86365190,77615338,64447379,64447381,60615429,57983554,46606507,46606506,57983551,70701168,64550225,52650648,52650646,64550220,60615446,49214726,49214727,60615451,73360199,60709374,49307085,39379407,39379408,49307090,60709379,60615455 Dl.O(d2) = 258200897,49118334,255966536,23266797,23266796,30683733,33370056,33370055,39188516,30590975,23172418,16908651,16908650,22693559,20862631,20862629,26954788,20070499,20070500,22383327,29517204,22175351,22175350,22383337,29742488,28305880,28305879 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2457387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 130665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8169605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15122523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654146, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14161062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161062, s2 = 8041107, int(edited[s2]) = 0 s1 = 14161062, s2 = 8041107, d1 = 15, d2 = 16 Dl.O(d1) = 170573056,159235706,146862399,133605559,133605558,119731770,119731771,119731773,119731770,119731771,119731773,119731770,119731771,105493209,105493207,91270883,77350844,64203145,52352714,52352712,52352713,64203143,70322074,64203136,52352707,42013301,33068985,25339108,18759172,13357918,255255285,25339109,33068989,42013309,33171913,25429364,18835551,13420001,9175580,9175577,13419978,18835522,25429322,33171876,29729597 Dl.O(d2) = 5512950,267752718,17748570,24107397,31609656,254787794,22373451,29730428,38297581,48206989,40293023,31609892,24107578,17748704,17748706,16241696,11291703,7496994,7496995,11291706,12635662,17843400,14195681,9758575,6416414,6416413,9758573,14195675,19817743,26629014,19817971,14195841,9758670,9758671,10511499,15237590,16916671,11839165,11839164,16916669,23181651,22779997,17846580,17846581,24217000,19659119,14091492,14091493,254787356,16420217,22603391,29968422,28041122,20873173,20873174,19837863,14211694,9769933,9769934,8577637,8577638,12633007,17839768,12638025,8580659,8580657,12638023,12633865,12633866,12636040,17843946,21761008,22177856,19663718,14095077,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7684344,7684341,11549941,16566757,16566758,16073040,16073041,11839261,7912235,7912234,254170564,17121306,23393069,23393216,23393217,19665246,19665245,26399127,26399557,34274402,34265213,26388101,26388100,30419088,23391626,23391627,17747234,12557360,8513796,8513795,12557354,17747229,24106006,23396888,17124873,12034523,8090433,5183283,5183284,8090425,11161323,16073110,13017781,8863264,5777488,3599825,2147545,2147544,3599820,5777478,8863246,11538069,14491299,16553589,16553590,11787732,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232807,6754917,7911536,5029475,3044663,3044662,5029472,7911526,11838077,16915206,23180141,30598897,39195639,31860616,24338430,17948235,12718343,8641682,5620207,3530636,3525795,2098451,1213758,684947,684946,1213755,2107448,2172520,3636036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161062, s2 = 8041107, dlinesl.size( ) = 2 s1 = 14161062, s2 = 8041107, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14161062, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 15065428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15065428, s2 = 6643816, int(edited[s2]) = 0 s1 = 15065428, s2 = 6643816, d1 = 1, d2 = 1 Dl.O(d1) = 31376219,30562956,30562957,30562954,23145888,16885603,16885604,23145889,30562955,30562829,30562830,39160205,49089881,60493072,73239907,86013212,99972626,86013490,72417209,59682401,59682400,59682090,48295740,257533413,257533463,48295923,59682309,72416845,59682072,48295725,38385450,29812975,29812976,38385453,48295730,59682078,48295946,257533465,72417146,86013259,86013294,258766405,258886097,72417231,72417234,86013513,86013514,86852688,87943732,74341200,61563850,59682080,48295733,38385459,38385458,257533409,257112576,48296039,39263883,30668188,30668186,23252659,254881378,268147153,9267867,9267868,12408127,12408128,17580136,23715853,17392015,12256171,8277297,5411898,3326760,1956444,1956442,1960594,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,4569212,4569211,6972477,6971489,267812028,9874595,6486992,6486993,7531857,11334424,10882085,9888870,6497681,4071528,2436288,2436285,4071517,4094719,2449696,1416355,805797,805799,1416360,2449706,4063604,267946379,9876790,14370829,254971859,6488819,4065893,4065892,6488817,9877083,6489116,6489115,9877475,14354133,14354134,254971271,9871449,13555601,13555600,16795240,11743398,9898594,6505557,4076626,4076625,6503565,6503564,7144426,7144425,9881184,10880547,15717477,21776811,20053298,14367477,14367475,268336591,17432445,12286969,12286970,8959123,7199239,7199238,4979682,254555733,6494737,9884849,9879602,9879601,14354111,14354112,20038508,14356524,14356523,14356522,14356521,20041396,20043132,24285631,21149301,15195663,15195666,21149305,21120627,255809513,28368931,28368928,31353112,28369411,255383057,15197678,10906900,10906899,15748085,21809964,29108757,22141368,16023845,16023846,22141371,21152271,21152272,21150477,21150475,28366931,30642391,23219281,16946576,11860557,7926771,7926772,255138339,23219287,28370089,28370088,23675319,17355543,17355544,23219558,17468788,12315781,12315452,8318712,8318713,12315461,8319091,5368171,5368170,8319084,7926492,7926487,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340381,6910897,10481986,12227298,16945432,17568529,12396893,8377910,8377909,12227291,8255367,8255365,12227287,17357065,21224693,15254745,10524210,8737266,268010511,6118263,6118264,9340613,13640354,16948780,255532120,11861876,11861875,16948572,23221573,29641084,29641082,28425443,22282768,22282767,29635172,31076042,23592678,17280611,17280609,23592673,28365447,36863748,37980777,29417831,22087283,15980860,15980861,22087286,29417839,28938192,256343973,25095526,21659484,15623498,10809909,7142944,7142950,10809915,15623507,21659495,15665898,10844832,7169201,254744801,15665892,21707676,23201963,16932309,16932310,255968905,39221816,49148398,49138992,39212185,257014017,60464761,60464762,60539014,55222189,55222188,67565609,73211194,73211204,85819970,72227717,59492252,48104056,48104057,59492256,72227719,85819971,74917136,62113053,50613613,50613612,41663226,32752129,32752128,41663224,51971101,63786338,72115048,72115043,72115042,62938181,62938180,258337895,51266489,41089346,41089347,51266490,47993248,256913454,268935617,59158916,51264735,41087545,32279587,24671263,24671262,32279586,41087543,51264731,62038359,62939741,62939740,59158928,59158927,51266521,51266522,257139137,24672828,24672829,32281407,41089318,269937837,41087555,32279595,256587143,51264746,257724979,256587355,24672856,18208999,12915127,12915126,18208998,24672854,24671434,24671435,32279730,32281470,24672876,255619397,12914369,8784972,254429833,269051434,12914366,18207832,24671259,32279583,24672852,24672556,18208742,12914983,8785362,8785363,8785032,5721677,5721676,5721688,8785055,12914475,18207976,24671467,24672877,256587361,41087707,32279787,32279756,24671472,256587331,32281109,256587333,255223881,8785367,5721874,267921881,18208766,256076213,256366184,24671500,18208004,18208003,18208745,12914985,8785364,254892351,18208748,24672564,32281112,24672575,18208760,12914993,12914992,255619517,268012569,5721889,3562237,3562238,5721893,8785394,12915034,18208779,12915002,8785372,8785371,12915001,18208776,256076215,32281125,32281126,32279923,24671606,18208075,12914531,12914532,256076089,268246624,24829758,32280779,24672258,18208499,12914809,12914808,18208497,24672256,268713059,51266045,41089040,41089039,257725119,46758695,36879896,36879897,36875332,36875333,46754574,41087740,32279823,24671528,24671526,32279819,32281336,24672778,24672777,32281332,32469160,24829760,18336505,18336504,18208441,12914778,8785238,5721791,3562183,3562184,5721796,8785247,12914789,18208466,256076159,41088715,41754088,32833248,25128375,18575934,18575933,25128369,32833246,41088858,51266131,62939527,62939523,256562146,32280856,24672311,18208539,255208558,32280850,256562142,31884053,256562145,50639404,62145803,257694432,89695232,75918588,75918589,75918587,269012404,41088849,41088848,41087966,41087967,48694160,60090404,72827746,269418388,51266108,41088837,32281350,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7389,38621101,39837309,46267444,39837268,31154309,27955757,255643352,254907010,37420237,37420238,33613190,33613188,39111887,39111888,49041602,49866465,39843732,31161064,23672645,17353344,12224755,12224753,9372114,6139140,6139141,9372119,13685454,19164977,17354624,17354623,23674206,22672025,22672024,17353383,17353381,23668076,17354639,12225685,8254358,5324988,3272947,1925020,1925019,3272939,5324976,8254341,7118851,4482215,4482216,7118856,10774162,15575496,21603321,28878641,30029556,23674112,23674111,23674193,17354615,17354614,17354747,17354608,17354610,23674190,31162745,39845356,48008015,38096323,38096324,39845455,255927514,36463072,31161084,31161083,23674445,23674444,31162945,39298201,30700614,30700615,39298202,256155822,255283024,267863542,13686396,13686398,19166288,268030638,255689398,57789550,255463178,38221723,39129341,30530835,257007733,49036824,49041607,47863518,37944894,29379795,22049410,19228325,19228326,16798720,16798719,15623497,268211811,28938191,256885659,58775116,71504469,85076492,259945845,126844971,261674015,152884378,164716247,175470593,185011212,193342353,200492582,206530801,211521215,264970445,221813687,224253736,222201710,219412641,216111095,212125822,207248111,201333269,194305449,186099423,176684397,166045048,154293342,141638226,261213699,114411677,114411676,100388623,86433252,86433251,100388622,114411678,128287746,128287752 Dl.O(d2) = 31376219,30562956,30562957,30562954,23145888,16885603,16885604,23145889,30562955,30562829,30562830,39160205,49089881,60493072,73239907,86013212,99972626,86013490,72417209,59682401,59682400,59682090,48295740,257533413,257533463,48295923,59682309,72416845,59682072,48295725,38385450,29812975,29812976,38385453,48295730,59682078,48295946,257533465,72417146,86013259,86013294,258766405,258886097,72417231,72417234,86013513,86013514,86852688,87943732,74341200,61563850,59682080,48295733,38385459,38385458,257533409,257112576,48296039,39263883,30668188,30668186,23252659,254881378,268147153,9267867,9267868,12408127,12408128,17580136,23715853,17392015,12256171,8277297,5411898,3326760,1956444,1956442,1960594,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,4569212,4569211,6972477,6971489,267812028,9874595,6486992,6486993,7531857,11334424,10882085,9888870,6497681,4071528,2436288,2436285,4071517,4094719,2449696,1416355,805797,805799,1416360,2449706,4063604,267946379,9876790,14370829,254971859,6488819,4065893,4065892,6488817,9877083,6489116,6489115,9877475,14354133,14354134,254971271,9871449,13555601,13555600,16795240,11743398,9898594,6505557,4076626,4076625,6503565,6503564,7144426,7144425,9881184,10880547,15717477,21776811,20053298,14367477,14367475,268336591,17432445,12286969,12286970,8959123,7199239,7199238,4979682,254555733,6494737,9884849,9879602,9879601,14354111,14354112,20038508,14356524,14356523,14356522,14356521,20041396,20043132,24285631,21149301,15195663,15195666,21149305,21120627,255809513,28368931,28368928,31353112,28369411,255383057,15197678,10906900,10906899,15748085,21809964,29108757,22141368,16023845,16023846,22141371,21152271,21152272,21150477,21150475,28366931,30642391,23219281,16946576,11860557,7926771,7926772,255138339,23219287,28370089,28370088,23675319,17355543,17355544,23219558,17468788,12315781,12315452,8318712,8318713,12315461,8319091,5368171,5368170,8319084,7926492,7926487,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340381,6910897,10481986,12227298,16945432,17568529,12396893,8377910,8377909,12227291,8255367,8255365,12227287,17357065,21224693,15254745,10524210,8737266,268010511,6118263,6118264,9340613,13640354,16948780,255532120,11861876,11861875,16948572,23221573,29641084,29641082,28425443,22282768,22282767,29635172,31076042,23592678,17280611,17280609,23592673,28365447,36863748,37980777,29417831,22087283,15980860,15980861,22087286,29417839,28938192,256343973,25095526,21659484,15623498,10809909,7142944,7142950,10809915,15623507,21659495,15665898,10844832,7169201,254744801,15665892,21707676,23201963,16932309,16932310,255968905,39221816,49148398,49138992,39212185,257014017,60464761,60464762,60539014,55222189,55222188,67565609,73211194,73211204,85819970,72227717,59492252,48104056,48104057,59492256,72227719,85819971,74917136,62113053,50613613,50613612,41663226,32752129,32752128,41663224,51971101,63786338,72115048,72115043,72115042,62938181,62938180,258337895,51266489,41089346,41089347,51266490,47993248,256913454,268935617,59158916,51264735,41087545,32279587,24671263,24671262,32279586,41087543,51264731,62038359,62939741,62939740,59158928,59158927,51266521,51266522,257139137,24672828,24672829,32281407,41089318,269937837,41087555,32279595,256587143,51264746,257724979,256587355,24672856,18208999,12915127,12915126,18208998,24672854,24671434,24671435,32279730,32281470,24672876,255619397,12914369,8784972,254429833,269051434,12914366,18207832,24671259,32279583,24672852,24672556,18208742,12914983,8785362,8785363,8785032,5721677,5721676,5721688,8785055,12914475,18207976,24671467,24672877,256587361,41087707,32279787,32279756,24671472,256587331,32281109,256587333,255223881,8785367,5721874,267921881,18208766,256076213,256366184,24671500,18208004,18208003,18208745,12914985,8785364,254892351,18208748,24672564,32281112,24672575,18208760,12914993,12914992,255619517,268012569,5721889,3562237,3562238,5721893,8785394,12915034,18208779,12915002,8785372,8785371,12915001,18208776,256076215,32281125,32281126,32279923,24671606,18208075,12914531,12914532,256076089,268246624,24829758,32280779,24672258,18208499,12914809,12914808,18208497,24672256,268713059,51266045,41089040,41089039,257725119,46758695,36879896,36879897,36875332,36875333,46754574,41087740,32279823,24671528,24671526,32279819,32281336,24672778,24672777,32281332,32469160,24829760,18336505,18336504,18208441,12914778,8785238,5721791,3562183,3562184,5721796,8785247,12914789,18208466,256076159,41088715,41754088,32833248,25128375,18575934,18575933,25128369,32833246,41088858,51266131,62939527,62939523,256562146,32280856,24672311,18208539,255208558,32280850,256562142,31884053,256562145,50639404,62145803,257694432,89695232,75918588,75918589,75918587,269012404,41088849,41088848,41087966,41087967,48694160,60090404,72827746,269418388,51266108,41088837,32281350,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15065428, s2 = 6643816, dlinesl.size( ) = 2 s1 = 15065428, s2 = 6643816, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15065428, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 8548817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8548817, s2 = 9672872, int(edited[s2]) = 0 s1 = 8548817, s2 = 9672872, d1 = 3, d2 = 1 Dl.O(d1) = 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0631,61348781,49866632,39843935,31161275,31161276,39843937,49866635,61348787,74130641,79241269,65876718,53808501,43283495,43283496,43283497,53808503,65876722,65876726,53808505,53808504,65876724,61348799,256806000,101710704,111631638,97710191,83850848,70325225,57634497,46289959,36436937,27978175,27978176,36436941,46289962,55522919,44661753,44661754,254703846,57634465,57634464,70325189,63109298,51412927,51412928,63109300,72565454,65876705,53808489,53808491,65876710,70325196,70325195,83850793,70325155,57634425,55522914,55522913,67873519,70325188,57634457,57634458,59531558,70325187,57634455,46289931,46289930,57634454,57634467,46289935,36436915,27978158,27978157,20815263,20815264,27979117,267877432,57635782,70326396,72265747,72265746,83850814,70325175,57634441,46289924,36436910,36436909,46289920,57634439,70325170,83850807,83850822,83850820,97710144,83850808,70325171,70325172,70326389,70326388,63109362,57634445,46289926,36436911,36436912,46289929,51412993,41216733,41216732,41216720,32393732,24771119,24771120,32393734,41216722,51412976,63109364,70325269,70325268,63109335,51412955,51412956,63109339,70325180,70325179,71520564,76114698,63109328,51412949,41216708,41216707,257734255,63109309,51412934,41216699,41216698,51412932,51412964,41216716,32393737,24771124,18292173,12983661,12983662,18292175,24771126,32393742,41216739,51412988,41216729,41216730,51412990,63109387,76114773,71520567,63109340,269760280,76114711,76114710,89920583,76114745,76114700,76114701,85092825,89920608,89920607,89920579,76114695,71520572,257466967,37495793,28953210,21672897,15635454,10819908,255419107,28953207,37495786,41216726,32393736,256595123,51412979,63109370,51412998,257734263,63109397,63109381,51412986,51412985,269776436,71528256,85099557,99024142,86245919,72643907,63109342,51412959,51412960,63109345,76114720,259245126,63109318,51412940,41216702,41216703,51412945,58791004,47403540,47403536,37495791,37495789,37495790,47403530,47403529,57634420,57634421,70325154,76114756,63109365,63109366,76114757,258973977,63109320,55522986,55522985,67873583,259174321,81340675,81340676,89920618,89920617,89920563,76114675,76114676,270270948,257994680,67873848,55523237,44662057,35268495,256759375,44661972,44661828,44661827,35268425,27164410,27164412,35268430,44661969,55523140,257925303,44662006,44662007,35268496,255756633,14530618,9998317,254475097,2462100,2462099,4116279,6570974,9998312,14530607,20249956,27164434,35268280,44661737,269197949,35268483,27164460,20249970,20249971,27164465,27164452,27164453,35268267,44661723,55522878,55523200,44662004,44662005,55523202,67873812,81340416,67873845,269197951,35268492,27164471,20249974,20249975,27164403,255339309,9998304,6570967,4116275,4116274,6570965,9998302,14530572,14530571,20249905,27164347,35268335,44661817,35268421,27164408,27164407,256759355,55522912,55522894,55522893,67873492,67873504,55523099,44661919,35268395,27164389,27164390,35268399,44661921,55523101,67873572,55522971,55522970,67873566,81340406,67873486,55522886,55522887,44661792,35268320,27164333,20249892,14530565,14530566,20249894,27164338,35268326,44661804,55522967,67873564,81340475,95389647,109632395,270517768,67873681,55523090,44661912,44661911,44662023,55523070,44661904,35268387,35268386,257325699,67873651,55523096,55523095,67873688,81340546,67873655,59171981,47773126,47773127,59171984,71910006,259174319,81340477,81340571,95389713,81340588,81340455,67873546,55522956,55522942,44661779,35268309,27164324,20249889,20249890,27164330,35268316,44661784,55522947,270143423,95389635,81340534,257890264,55523033,257925287,55523087,55523042,44661881,44661882,55523044,55523051,55522936,55522937,257925285,81340532,94414200,91800252,77877974,64688367,52774134,43936133,34662328,34662327,43936129,54678573,66934888,55522944,55522945,52774127,48174836,38265223,29699155,29699156,38265226,38265187,29699132,29699131,38265184,38265228,29699158,22345223,256401843,36630993,36630994,29699097,22345184,22345183,22345229,29699169,38265238,33192253,29699154,22345221,16195815,11258235,7473798,4723280,4723281,7473801,11258240,16195818,22345227,29699165,38265103,29699074,22345168,268404031,22345160,16195778,16195776,22345154,22345177,29699086,38265117,48174741,57853628,46497712,46497711,257387710,84091639,83901556,70377062,57684900,46337745,36481734,28020364,20853749,20853750,28020369,36481737,46337761,57684928,70377085,72449162,72295901,72295900,85888676,86048039,72449170,59712273,59712271,70555049,70555048,70555052,71528245,58799161,256311192,33396660,25630636,25630635,33396659,29846314,22480209,22480208,29846311,38415916,48325366,38415906,268407057,16309122,16309123,22480205,29846307,38415913,33590759,25794825,25794823,33590756,36988432,46866914,58234749,70951864,84515420,98436853,86048027,72449153,59712254,48325318,48325319,38415958,29846344,22480230,16309137,11347358,11347357,16309135,22480227,29846334,34184570,43281291,53806364,48325403,38415948,29846340,29846335,33429422,26312920,19587754,14033816,14033815,19041934,25661052,33429406,33429434,25661074,19041944,19041943,25661070,33429431,42420165,33590746,256412799,29846274,268948081,33396648,25630623,25630622,255674239,18981608,25590868,33351369,25660975,19041867,13592849,9307411,6096843,3814557,3814558,6096839,6096838,9307408,9331355,6112361,3824512,2291375,2291376,3824514,6112365,9286506,13563603,254656785,3808514,3808513,6086710,9291623,9291650,9291651,9291648,6086730,3808526,3808527,3814613,2285061,1325499,756487,429923,242683,134161,72951,72952,73373,39718 Dl.O(d2) = 39745,39742,73463,72846,39531,39529,72835,133906,242122,428966,254206249,254449303,3808524,3832028,2295882,1332166,1332165,2295880,3832024,254660629,13655000,19124826,19005018,19005017,19124852,13655034,9350596,9350595,13655031,19014889,19014888,256142111,19086925,13627269,9331370,9331369,255272669,9291627,6112377,3824524,2291383,2291384,3824528,6112388,7484439,11274911,9290749,6086132,3808112,2281119,2281118,3808106,6086124,9290747,13569595,19012729,19012742,19012740,25627711,25764396,25764397,256668151,53011252,64986237,78259568,92286280,106584214,120832247,134629160,136263329,136263342,136263344,122288342,107873928,93445516,79314285,65949930,65949929,79314284,93445515,258844034,91538275,77608884,77608885,79314298,79314299,93445534,93445545,79314326,65949960,53882811,43358313,43358314,53882814,65949966,76959990,76959991,90839211,90839200,76959975,63848419,63848418,52029819,52029820,63848428,76959987,90839208,91149925,77234043,76959833,63848274,52029669,52029668,63848300,52029667,52029666,52029769,41716486,41716487,52029807,53115951,63848377,63848247,52029608,41716260,32798234,32798233,33853050,26031826,26031827,25097932,18550248,18550250,25097925,25097926,32798224,33853049,26031825,26031824,32798227,25097928,25097927,25098000,18550291,13180357,8984280,5865328,3661840,2190974,1271755,1271756,2190977,3661845,5865335,8984294,8984263,8984262,13180328,8984269,8984268,254906621,18550333,25098055,32798355,32798363,25098060,25098062,32798366,25243694,18673745,13281795,13281796,18673750,25243702,32965520,32798444,25098140,25098141,32798446,37392169,28851943,21579898,15556487,15556488,21579900,28851945,37392170,32965522,25243703,25243704,32965524,32798443,25098139,21579905,15556490,15556489,21579902,28851949,37392172,37481025,28939038,28939037,37481023,258076611,85077068,99002413,259810040,126264909,271298313,84491031,70926740,70926741,74145093,74145092,61364514,49883059,39859882,255935198,17366492,12235154,8261581,5330112,5330111,8261580,12235151,17366486,23688097,31177136,33245725,33326020,33326019,28071806,28071807,22116914,16004038,11110703,7368964,7368963,11110696,16004024,22116887,29450586,38012700,39396077,43262515,53778321,52045034,41730240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8548817, s2 = 9672872, dlinesl.size( ) = 2 s1 = 8548817, s2 = 9672872, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8548817, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 14161074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654176, s2 = 7955026, int(edited[s2]) = 0 s1 = 11654176, s2 = 7955026, d1 = 5, d2 = 2 Dl.O(d1) = 25718281,33494328,256175912,37389974,28850095,28850096,31530683,24609267,24609266,32197791,40977903,32340065,32340066,41155059,49980091,39963585,31288637,23802342,17469358,12316202,8319110,5368183,3300272,1941118,1941117,3300271,5368180,8319104,11862661,11862662,16949772,15604033,10795158,7132426,4490384,4490383,7132425,10795156,254641328,16947492,11861161,7927422,5039421,3050950,1777348,1013306,571184,571187,254174781,3051010,5039532,254816257,16948933,23221950,268659961,39241266,39241263,33958308,26120985,255296215,9538799,254458519,1358345,254209939,2361239,1367146,778659,441935,249041,249037,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771921,438473,438468,441858,778799,1367462,2361677,3944783,254461537,2380471,2372649,2372648,2378149,2378146,1383882,1383880,787276,787270,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,787173,787175,1372721,781402,443063,443059,781380,267781591,55462943,55462944,67804377,78402445,65120079,53134577,53134579,53134572,53134573,65120072,65977151,53910295,43386082,34287032,34287031,43386080,257864089,59181141,47781936,37858132,29289313,29289314,37858124,29289308,29289307,37858120,37858126,47781931,59181132,65977117,53910267,53910266,65977113,65977120,65977121,79341493,93473813,107905980,114041806,100014514,100014513,107906015,107906014,109585872,109585871,95330710,81271766,81271767,93473836,93473833,93473834,79341525,79341526,93473843,93473848,79341532,79341531,85504752,71919413,59181178,47781962,37858154,29289324,21962791,255876199,15869204,10998790,10998789,15869202,21962782,29289311,37858130,47781932,59181134,65977108,65977107,59181168,59181167,71919400,259353125,113448475,113448478,113448477,127307384,115305921,115305922,109589992,95335140,95335138,93473839,79341523,65977143,53910286,53910288,65977145,79341529,93473845,107906009,99446343,85504758,85504759,85504750,71919409,59181176,47781960,37858152,37858151,29289331,21962793,15869211,10998793,10998792,15869207,21962790,29289322,256913963,55466706,67808443,59181170,59181169,270314141,258727993,71919393,85504733,259971343,259410782,67808419,55466686,44617637,35235604,27140080,20232523,20232521,27140077,256757157,257922499,81276075,81276094,71919414,258727995,257494189,47781966,59181186,71919421,67808440,55466704,44617647,269196353,67808439,81276101,95335154,109590012,99446346,85504762,71919423,71919422,81276117,67808455,55466716,44617655,35235619,27140095,20232538,14518504,9990103,9990101,14518499,255755153,35235610,44617644,55466701,67808435,81276096,95335131,109589988,123779913 Dl.O(d2) = 259115476,257867824,256712284,269135537,65786422,79140792,259732631,93256056,93256055,104996806,259630464,122033342,119191494,119191493,119191495,133026363,133026366,119191496,119191492,259003188,76944008,76944009,90819549,259630466,272690996,259630468,258376156,63836926,52021949,42157499,33197783,255242874,13432495,13432494,18853144,25451422,33197782,42157498,52515772,64389681,256618392,268289268,25451420,33197780,256104000,39776666,31098458,256502593,49796462,61275788,63836913,52021941,269976489,61275784,52515770,42157496,42157495,52515769,64389682,61275786,258241267,87659420,91488652,259003186,271020236,129553724,262326007,177597333,263963393,186883264,177597331,167093417,167093416,177597329,263963389,194974249,201898873,201898870,194974247,263963391,201898871,263701572,273919548,212529547,207725462,264554695,212529545,274288459,216457015,219714286,265424761,226877719,224827046,222465011,222465010,224827044,265631382,226877718,274522607,232887849,274603907,265891285,231633287,274671963,236001332,236858389,266465762,274648204,234023999,274702165,236858388,237636978,237636977,236858386,236001330,266531031,266681191,266573836,266403262,266617041,266403260,266201240,234141844,235165019,236096074,274717538,238416556,238416557,274819623,274743836,236943326,274717536,236943329,236096067,236096066,274688994,274624584,234141843,235165017,236096070,236096064,266201238,231774607,274503910,228833958,227065955,225039703,225039704,265522924,230391176,265829440,228833955,265682538,228833959,228833960,230391175,265963680,233017481,266087086,266201242,231040425,266087084,274624582,233017478,266087082,266306242,266201234,234141840,234141846,265963682,230391177,265963676,230391168,228833954,227065952,265152166,219988485,264938532,219988487,216768342,212882630,212882629,216768341,212882634,212882633,208130855,202368222,202368221,208130853,273689164,195513639,187498070,187498069,263460438,202368224,263056972,178287712,167850397,156261599,261601102,143735175,259866710,116570210,116570211,259247824,257997592,74835513,88468634,102471780,116570213,102471777,88468633,258621748,106014718,106014719,120216679,127734997,271395618,91819841,91819835,77898624,77898623,91819834,106014720,91819840,259676213,259049457,52796171,42396571,42396572,52796174,270004373,89605506,89605505,103720367,117873933,131701014,144949029,157362098,262412293,179079193,179079192,171377087,272891008,134791991,272402883,134791992,134791993,120995989,272025627,78402070,270553997,106743424,259474092,258441015,78402072,65119629,53134022,269850120,33652467,268760505,33652470,42682796,33652469,25848061,19193141,19193142,25848063,33652472,42682799,53134027,65119633,78402076,72712867,59975868,48584161,38668068,38668067,38390391,38390390,268247178,65119631,53134023,53134024,52523416,42165017,33204836,25457613,25457614,33204839,42165019,52523421,256856886,65119627,65119625,78402065,73604882,63826006,52010245,41698604,32782240,32782238,267991856,19193150,13707722,9388798,9388797,13707718,19193147,25848070,33652479,42682807,44465864,35089492,27003806,27003804,29817797,38390397,48300804,59687463,63908497,52089241,48434996,258775943,41952093,39170762,33009669,33009670,39170763,41952057,33009629,33009630,33608058,41749844,32829126,25124644,18572542,13197950,13197951,13197942,13197943,18572532,15597354,15597353,15597355,12536303,8497988,8497989,12536305,13438977,13438976,18862154,256129227,42170102,35230943,35230942,40442444,31747865,27136428,20229820,14516563,14516564,20229822,20229837,268049937,6565107,6565106,9988820,14516571,20229833,27136444,35231003,40442456,37042134,28543163,21319884,15349367,10603590,6996217,6996218,10603591,15349369,21319887,28543168,37042144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654176, s2 = 7955026, dlinesl.size( ) = 2 s1 = 11654176, s2 = 7955026, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11654176, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 15054282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14490091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8104991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6587110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1621596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2444071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9754551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8363535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8363535, s2 = 14174517, int(edited[s2]) = 0 s1 = 8363535, s2 = 14174517, d1 = 0, d2 = 47 Dl.O(d1) = 1281744,2207320,2197904,1276889,1276886,2197899,3671962,5881566,9009530,13216545,18597619,17306471,12183344,8214352,8214353,12183346,17306475,22988641,16750410,16750411,19521590,18597663,13216570,9009546,9009547,13216558,9009540,5881572,3671965,3671966,5881575,9009548,13216574,13257775,18645340,18610941,18610942,25169084,32040759,32825227,28158317,23621102,23621100,31106390,39785696,49805004,61283294,61283289,61283288,74062663,74062665,74062666 Dl.O(d2) = 87666404,101633890,115675041,129561222,142879468,149485331,136226523,122257455,107848425,257179948,65934111,256110728,43342943,34243278,26366549,19633769,14070545,9676545,9676546,14070549,19633778,26366558,34243285,43342951,53867457,65934122,79296739,93424475,107848433,93424471,93424470,106594434,120842710,109496125,95243482,95243481,93424597,79296836,65934207,65934206,79296833,93424591,107848585,109496122,109496123,258095378,98516544,95312090,81251198,67781822,55438853,55438852,67781821,65933938,255512852,74317041,87920226,101894227,114369956,109047753,94772338,94772334,80698633,77444495,77444496,91367203,90025470,76220891,76220892,77429934,64278266,64278263,64278285,52421915,52421918,61728458,74509923,88121763,91368406,77445243,76220820,63209456,63209457,76220823,90025360,104149908,271499531,102171472,88181611,74567367,61783986,50304326,40283688,31599240,31599239,40283687,50304325,61783985,74567365,269638796,86442360,99028483,85104086,85104085,99028482,259705390,119168383,104975281,90798851,76924070,76924071,90798854,99028495,99028466,85104063,85104064,85104084,85104083,85104095,71532924,58803897,47416730,37508975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8363535, s2 = 14174517, dlinesl.size( ) = 44 s1 = 8264339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7662817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13377239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16399707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8666963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9761575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8557217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7585898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6662537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9771533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7697346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7697346, s2 = 6670218, int(edited[s2]) = 0 s1 = 7697346, s2 = 6670218, d1 = 5, d2 = 10 Dl.O(d1) = 272911939 Dl.O(d2) = 50039722,61518809,257155104,48589629,59981437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7697346, s2 = 6670218, dlinesl.size( ) = 2 s1 = 7697346, s2 = 6670218, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7697346, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9826593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8645245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16268022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4538635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4831081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5352593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13903299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15041977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9786485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7801192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7551947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7823248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7823248, s2 = 11461949, int(edited[s2]) = 0 s1 = 7823248, s2 = 11461949, d1 = 28, d2 = 9 Dl.O(d1) = 254083379,75421,40829,22420,12456,6863,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449 Dl.O(d2) = 205077907,198754644,273928992,260946991,122068302,136005886,149238106,161526910,172699156,182618118,273663159,198754642,191290393,182618124,182618123,263774951,191290363,182618104,182618103,191290362,263774947,182618115,182618114,191290379,198754627,205077886,198754621,264106505,198754634,273817921,210315689,210315688,205077883,205077882,198754628,273817919,210315697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7823248, s2 = 11461949, dlinesl.size( ) = 38 s1 = 10135741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135741, s2 = 7803343, int(edited[s2]) = 0 s1 = 10135741, s2 = 7803343, d1 = 0, d2 = 0 Dl.O(d1) = 8270715,5336940,5336941,8266616,8266613,8266612,8312225,8266581,5333729,3278590,1928449,1928448,3278582,3276493,3276495,3277513,3277511,1929237,1929236,3279886,5333165,8265872,12240349,8270132,8270131,12228090,8256036,8256037,8317934,8317935,8288618,8288617,12273792,17377462,13599789,9312343,6100118,6100116,9312340,12599085,11230592,7452203,4708466,2836450,1645470,935676,527324,527322,935669,1645455,2836422,4708407,7452099,11230566,12274829,16163041,12273463,12273462,254591854,7455434,7451700,7451703,11230040,7453253,7453255,11231871,8496684,5498053,5498052,8496677,12534928,17718328,16165247,11232594,7453850,7453849,11232590,12573431,12573429,16165245,12574115,12546121,11822200,11822199,12598339,8549304,8549305,7717652,4884696,4884697,5550133,3983665,254462297,9188731,268002689,8506442,11240480,11240479,16173114,13441283,9190697,254609347,5524653,8526047,12569950,8524223,8524222,5596702,3473320,2060375,2060374,3473319,3383892,267772953,1138860,1992895,3383896,3444185,2039090,2039091,3426307,5540971,5497965,3453428,3453429,4881051,4881048,4881127,3374248,3374246,3408894,3441572,2036812,254192577,1169818,2013156,3411399,3732346,5531892,5020383,3038137,1768888,1008081,1008083,1768891,2046222,1173268,1173267,2046219,3453215,254250713,1006354,1006355,657680,657679,364945,199604,108678,59616,33494,19185,10984,6167,3320,1706,1705,3316,6159,10970,19154,33413,59471,106553,254080701,355971,254137273,2000374,267802167,1156819,1156820,2021609,2001135,1143820,1143818,2001133,1588341,902908,509233,285497,285496,509228,902900,1588330,2740869,4558299,7231823,8505890,5506318,3395043,3395044,5506320,4558317,2740884,2740882,4558312,4681871,2820899,1636576,930619,524522,524521,930618,1636574,1603379,911718,514360,288627,159754,159755,288628,514362,911723,1552872,1552871,1066319,599379,333956,183744,100705,100706,183755,289254,289251,288923,159935,88049,88048,159928,288947,514900,912589,913470,515433,289260,289261,515440,913350,913204,913201,913437,1606000,913893,515707,289419,160189,160188,289413,515695,913873,914011,1606762,2767466,3372857,1984752,1133769,912345,912346,1604366,1606448,1502623,1502622,1604593,912499,912496,1604582,2767801,2769666,4602794,4783511,3373248,3373249,2767985,1604738,912612,912613,1604743,2767996,2812956,1631906,1631904,2812950,4669110,7098110,4469092,2770260,2767777,2767388,2767389,2857539,4604190,4741591,4602850,2769739,2769738,1632011,928090,928089,1632005,2813067,4603813,2928031,1698437,1698439,2928040,4469084,4604543,4540720,4540447,2813961,1632553,928400,928401,1632556,2812749,2812813,2812814,2812769,1631755,1631756,2812772,267889797,7098101,4469075,2684937,1555287,884247,498955,498954,254160333,2684932,3046340,2729140,2729139,4540457,254235449,927973,523035,293151,293153,523046,927988,899086,899084,951464,1581477,1606157,913556,515485,515483,913549,884285,498995,498997,523057,298691,298690,532486,927831,1555422,2685140,1632051,1632049,2813124,2729154,1581207,898855,523135,293187,162149,162147,293181,523126,928134,1632099,2813183,4540519,2729902,1581806,899263,884274,884275,1555335,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,2685089,1555493,254227025,4469295,7098236,4469298,4469297,5032098,3046290,1774221,1011326,570032,570035,570047,570045,1011263,911951,911950,1603715,2766449,1984391,1133530,635881,635880,1133529,1603722,911958,514513,514514,911960,958595,908990,512724,287509,254099111,353534,193859,193857,353530,302649,302650,302655,313309,173296,95334,95333,173290,313299,559545,909797,909796,636292,353358,254080617,58228,32763,18819,10790,6069,6070,10792,18822,32770,58240,84679,105790,86426,86425,157158,254085403,155733,282073,157204,86360,47419,47418,86359,97401,53850,53851,53403,30037,17247,17245,30032,53400,90999,53660,53659,90954,85472,46854,26096,26094,14722,14723,26095,46852,254072677,32821,30488,30487,53938,46903,254070907,9924,5568,254069037,751,365,366,754,267734747,5113,5114,5122,2707,1354,1355,2710,5126,8208,14718,9309,5138,2717,2716,5134,7981,4272,4271,5108,254069031,694,695,1432,853,410,194,94,37,13,12,33,85,176,372,735,736,1508,1232,601,296,295,597,1224,2463,4678,2963,2964,5021,5020,5170,5169,9360,10226,5722,3075,3076,5726,10239,11139,7888,7887,14314,254072083,27486,49135,89345,162545,293918,524512,524509,293915,293916,524511,930601,930602,930603,1636563,2820881,2820882,4681848,7409538,11168647,13177594,8982573,8982574,13177595,18546108,25092145,25092185,18546138,18546137,25092182,32790365,41705996,255553540,28506407,28506397,28506398,32790294,25092173,18546132,13177610,8982580,5864368,3661232,3661233,5864371,8982584,13177621,18546148,25092202,32790389,29534427,29534178,28905053,21630759,21630760,28905056,29968694,22603659,22603658,254842316,25993229,19322037,19322036,18050610,18050609,24470740,25092302,32790471,38098325,37004663,28506409,21287188,15322743,10583247,6981607,254408246,15322736,13177606,254489614,25092164,21287173,15322731,15322732,21287175,22191245,22191236,22191235,18563593,18563594,25113868,32817500,38098535,29534468,22191320,16063338,16063337,22191318,29534467,38098532,38098370,29534304,22191162,22191161,29534303,31253384,31253386,39928579,48150930,40088503,31408532,23918270,23918271,21516075,15505407,267965021,4460360,4460361,7084500,255039891,18563776,13191603,13191604,15111670,10423422,6872175,4313769,4313770,6872177,10423427,15111680,13191616,13191617,18563804,16363160,11387274,7565217,4783465,4783464,7565216,11387272,16363159,22213874,16082258,11168640,7409533,7409534,7409535,11168633,7409536,254526279,2820877,1636557,1636556,2820875,4681841,7409530,11168635,16082251,22213866,29559414,38124914,39108126,39108125,39108124,49037941,59430218,48038153,38124915,29559416,29559417,38124916,48038154,59430220,50648967,48107515,255359232,22277007,22277008,29628906,38195953,48107516,52382209,52382216,42038302,42038291,42038290,52382206,64238268,64238275,64238274,77389159,259266452,72168818,59430261,48038186,38124955,29559467,22213916,22213915,16082295,11168666,7409555,4681865,2820895,2820894,254526287,11168655,16082278,22213901,29559454,38124944,29559465,29559451,22213899,22213898,29559449,29559458,29559457,38124945,39464906,39464907,49393294,39464835,39464836,30860567,23429975,17153145,17153146,23429976,30860568,30860563,30860562,30860552,23429967,23429966,30860550,39464830,47688227,37766908,29205450,21892241,15814658,10959402,255061203,21892245,29205456,37766921,47688237,59087090,47688220,43844783,34573328,34573327,27165583,20251069,14531525,9999025,9999026,14531526,20251071,27165589,35269556,34242282,33413997,33413996,25646913,19029371,19029370,25646911,33413995,42403118,52802461,43342661,256186569,19633593,14070424,14070426,19633013,19632905,19632904,19633264,14070115,14070116,19633266,15676162,15676163,19632845,14069854,9675969,9675971,14069859,14069947,14069948,19632874,19632875,26365528,19633078,14069945,9676041,9676040,255306111,26365761,26365567,26365568,26365542,19632886,14069786,9675909,6363685,3992814,2392844,2392843,3992811,6363683,254677063,6363634,9675920,9676053,9675882,6363597,254677057,9675966,14069852,14069888,14069949,19632882,14069779,9675905,9675906,14069782,9676170,9676169,255306121,14070076,19633229,19633321,14070279,9676334,9676333,6364004,3993052,2393008,2393007,3993049,3992884,3992885,6363799,9676129,14070056,14070091,14070090,17298843,12177080 Dl.O(d2) = 8270715,5336940,5336941,8266616,8266613,8266612,8312225,8266581,5333729,3278590,1928449,1928448,3278582,3276493,3276495,3277513,3277511,1929237,1929236,3279886,5333165,8265872,12240349,8270132,8270131,12228090,8256036,8256037,8317934,8317935,8288618,8288617,12273792,17377462,13599789,9312343,6100118,6100116,9312340,12599085,11230592,7452203,4708466,2836450,1645470,935676,527324,527322,935669,1645455,2836422,4708407,7452099,11230566,12274829,16163041,12273463,12273462,254591854,7455434,7451700,7451703,11230040,7453253,7453255,11231871,8496684,5498053,5498052,8496677,12534928,17718328,16165247,11232594,7453850,7453849,11232590,12573431,12573429,16165245,12574115,12546121,11822200,11822199,12598339,8549304,8549305,7717652,4884696,4884697,5550133,3983665,254462297,9188731,268002689,8506442,11240480,11240479,16173114,13441283,9190697,254609347,5524653,8526047,12569950,8524223,8524222,5596702,3473320,2060375,2060374,3473319,3383892,267772953,1138860,1992895,3383896,3444185,2039090,2039091,3426307,5540971,5497965,3453428,3453429,4881051,4881048,4881127,3374248,3374246,3408894,3441572,2036812,254192577,1169818,2013156,3411399,3732346,5531892,5020383,3038137,1768888,1008081,1008083,1768891,2046222,1173268,1173267,2046219,3453215,254250713,1006354,1006355,657680,657679,364945,199604,108678,59616,33494,19185,10984,6167,3320,1706,1705,3316,6159,10970,19154,33413,59471,106553,254080701,355971,254137273,2000374,267802167,1156819,1156820,2021609,2001135,1143820,1143818,2001133,1588341,902908,509233,285497,285496,509228,902900,1588330,2740869,4558299,7231823,8505890,5506318,3395043,3395044,5506320,4558317,2740884,2740882,4558312,4681871,2820899,1636576,930619,524522,524521,930618,1636574,1603379,911718,514360,288627,159754,159755,288628,514362,911723,1552872,1552871,1066319,599379,333956,183744,100705,100706,183755,289254,289251,288923,159935,88049,88048,159928,288947,514900,912589,913470,515433,289260,289261,515440,913350,913204,913201,913437,1606000,913893,515707,289419,160189,160188,289413,515695,913873,914011,1606762,2767466,3372857,1984752,1133769,912345,912346,1604366,1606448,1502623,1502622,1604593,912499,912496,1604582,2767801,2769666,4602794,4783511,3373248,3373249,2767985,1604738,912612,912613,1604743,2767996,2812956,1631906,1631904,2812950,4669110,7098110,4469092,2770260,2767777,2767388,2767389,2857539,4604190,4741591,4602850,2769739,2769738,1632011,928090,928089,1632005,2813067,4603813,2928031,1698437,1698439,2928040,4469084,4604543,4540720,4540447,2813961,1632553,928400,928401,1632556,2812749,2812813,2812814,2812769,1631755,1631756,2812772,267889797,7098101,4469075,2684937,1555287,884247,498955,498954,254160333,2684932,3046340,2729140,2729139,4540457,254235449,927973,523035,293151,293153,523046,927988,899086,899084,951464,1581477,1606157,913556,515485,515483,913549,884285,498995,498997,523057,298691,298690,532486,927831,1555422,2685140,1632051,1632049,2813124,2729154,1581207,898855,523135,293187,162149,162147,293181,523126,928134,1632099,2813183,4540519,2729902,1581806,899263,884274,884275,1555335,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,2685089,1555493,254227025,4469295,7098236,4469298,4469297,5032098,3046290,1774221,1011326,570032,570035,570047,570045,1011263,911951,911950,1603715,2766449,1984391,1133530,635881,635880,1133529,1603722,911958,514513,514514,911960,958595,908990,512724,287509,254099111,353534,193859,193857,353530,302649,302650,302655,313309,173296,95334,95333,173290,313299,559545,909797,909796,636292,353358,254080617,58228,32763,18819,10790,6069,6070,10792,18822,32770,58240,84679,105790,86426,86425,157158,254085403,155733,282073,157204,86360,47419,47418,86359,97401,53850,53851,53403,30037,17247,17245,30032,53400,90999,53660,53659,90954,85472,46854,26096,26094,14722,14723,26095,46852,254072677,32821,30488,30487,53938,46903,254070907,9924,5568,254069037,751,365,366,754,267734747,5113,5114,5122,2707,1354,1355,2710,5126,8208,14718,9309,5138,2717,2716,5134,7981,4272,4271,5108,254069031,694,695,1432,853,410,194,94,37,13,12,33,85,176,372,735,736,1508,1232,601,296,295,597,1224,2463,4678,2963,2964,5021,5020,5170,5169,9360,10226,5722,3075,3076,5726,10239,11139,7888,7887,14314,254072083,27486,49135,89345,162545,293918,524512,524509,293915,293916,524511,930601,930602,930603,1636563,2820881,2820882,4681848,7409538,11168647,13177594,8982573,8982574,13177595,18546108,25092145,25092185,18546138,18546137,25092182,32790365,41705996,255553540,28506407,28506397,28506398,32790294,25092173,18546132,13177610,8982580,5864368,3661232,3661233,5864371,8982584,13177621,18546148,25092202,32790389,29534427,29534178,28905053,21630759,21630760,28905056,29968694,22603659,22603658,254842316,25993229,19322037,19322036,18050610,18050609,24470740,25092302,32790471,38098325,37004663,28506409,21287188,15322743,10583247,6981607,254408246,15322736,13177606,254489614,25092164,21287173,15322731,15322732,21287175,22191245,22191236,22191235,18563593,18563594,25113868,32817500,38098535,29534468,22191320,16063338,16063337,22191318,29534467,38098532,38098370,29534304,22191162,22191161,29534303,31253384,31253386,39928579,48150930,40088503,31408532,23918270,23918271,21516075,15505407,267965021,4460360,4460361,7084500,255039891,18563776,13191603,13191604,15111670,10423422,6872175,4313769,4313770,6872177,10423427,15111680,13191616,13191617,18563804,16363160,11387274,7565217,4783465,4783464,7565216,11387272,16363159,22213874,16082258,11168640,7409533,7409534,7409535,11168633,7409536,254526279,2820877,1636557,1636556,2820875,4681841,7409530,11168635,16082251,22213866,29559414,38124914,39108126,39108125,39108124,49037941,59430218,48038153,38124915,29559416,29559417,38124916,48038154,59430220,50648967,48107515,255359232,22277007,22277008,29628906,38195953,48107516,52382209,52382216,42038302,42038291,42038290,52382206,64238268,64238275,64238274,77389159,259266452,72168818,59430261,48038186,38124955,29559467,22213916,22213915,16082295,11168666,7409555,4681865,2820895,2820894,254526287,11168655,16082278,22213901,29559454,38124944,29559465,29559451,22213899,22213898,29559449,29559458,29559457,38124945,39464906,39464907,49393294,39464835,39464836,30860567,23429975,17153145,17153146,23429976,30860568,30860563,30860562,30860552,23429967,23429966,30860550,39464830,47688227,37766908,29205450,21892241,15814658,10959402,255061203,21892245,29205456,37766921,47688237,59087090,47688220,43844783,34573328,34573327,27165583,20251069,14531525,9999025,9999026,14531526,20251071,27165589,35269556,34242282,33413997,33413996,25646913,19029371,19029370,25646911,33413995,42403118,52802461,43342661,256186569,19633593,14070424,14070426,19633013,19632905,19632904,19633264,14070115,14070116,19633266,15676162,15676163,19632845,14069854,9675969,9675971,14069859,14069947,14069948,19632874,19632875,26365528,19633078,14069945,9676041,9676040,255306111,26365761,26365567,26365568,26365542,19632886,14069786,9675909,6363685,3992814,2392844,2392843,3992811,6363683,254677063,6363634,9675920,9676053,9675882,6363597,254677057,9675966,14069852,14069888,14069949,19632882,14069779,9675905,9675906,14069782,9676170,9676169,255306121,14070076,19633229,19633321,14070279,9676334,9676333,6364004,3993052,2393008,2393007,3993049,3992884,3992885,6363799,9676129,14070056,14070091,14070090,17298843,12177080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135741, s2 = 7803343, dlinesl.size( ) = 2 s1 = 10135741, s2 = 7803343, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10135741, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 10160303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7855036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6440643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6563093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7456, s2 = 13262696, int(edited[s2]) = 0 s1 = 7456, s2 = 13262696, d1 = 0, d2 = 13 Dl.O(d1) = 70911 Dl.O(d2) = 254297429,5961448,9111141,13334913,18731830,25307571,28870613,24712157,18240150,12938408,8802242,8802243,12938411,17131655,23405379,30834288,35240440,27143935,27143936,30014679,30014680,23859106,17515828,254686854,31352620,29422316,22091668,15984480,11096803,7359398,7359397,11096798,15718709,10881842,10881846,15718722,20066261,21167549,21167551,25233188,21783304,21605019,21605016,15985378,11097291,11097295,15985311,22092898,21825440,15757969,15757386,15757387,20017364,14336555,9848838,6468696,4053220,4053221,6468701,9848846,13072336,18404056,16483925,11485176,11485177,16483928,22682250,30059074,34279777,43169958,34086594,26225557,19510762,19510763,21167658,15758284,15209906,10491887,10491888,15209908,15210760,11250747,11250746,16185561,255861772,23710443,17386930,12252208,12252207,8274845,8274846,8274884,5339257,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5549253,3434675,3434674,5549246,8548769,8548771,12597846,17797404,24120040,24120042,24153054,17785809,12588299,8540539,8540540,12588306,17745571,24099376,17786848,17786846,19228869,19228871,25888569,23331371,18748096,13347667,13347669,18748103,17769206,17769205,24113867,23156189,16894866,11822860,7901056,7901054,11822858,16057200,18931573,25544546,33306550,31509536,24009760,17663147,12490335,8459746,5466110,3361201,3361200,5466108,8459745,12232921,17363126,23683343,254650276,22665252,16470322,11475709,7632795,7632796,267914508,7511935,7511936,11313495,12632695,12632693,12540895,8501521,8501520,12540890,254609330,31588086,40247052,39038156,30449270,23041763,16796798,11744435,7841177,4977445,4977446,254280746,5974408,3736283,3736282,5974399,9129472,13358424,18759766,14129555,14129554,17725437,17725428,17725429,13979206,9601193,6304913,6304912,6536427,4095349,4095350,6536426,9945304,14455822,20151529,17828109,12623435,8569554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7456, s2 = 13262696, dlinesl.size( ) = 8 s1 = 10910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10910, s2 = 13171959, int(edited[s2]) = 0 s1 = 10910, s2 = 13171959, d1 = 7, d2 = 2 Dl.O(d1) = 422546,422550,238429,131718,71575,38805,21392,11987,6645,6644,11985,21390,38636,71348,79039,43211,23975,13377,7375,3934,2033,998,480,481,1000,2038,3939,7384,7382,7381,13386,23981,43221,79055,143811,259349,459926,811650,811647,254117487,261820,465022,823397,1454257,2523552,2523754,4219800,4220140,4219519,4219518,4219239,4219238,6734415,4219959,2523871,1454476,823522,465085,465087,823526,1454486,2523888,4221194,4219300,4219298,2522943,2522944,4219805,4219222,2522958,2522959,4219489,4219490,6734769,10250078,6735275,4219908,2523005,1453907 Dl.O(d2) = 10249729,10250920,10252570,254217344,10252568,10252569,14908520,14908519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10910, s2 = 13171959, dlinesl.size( ) = 2 s1 = 10910, s2 = 13171959, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10910, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13171217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13171217, s2 = 13178748, int(edited[s2]) = 0 s1 = 13171217, s2 = 13178748, d1 = 0, d2 = 0 Dl.O(d1) = 9646243,6342345,254458580,2291195,1329347,758997,431552,243627,243126,134385,73044,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73041,73549,39769,39767,73536,135244,254094377,761608,254207749,3836395,6132049,9306453,9306454,6111638,6111639,9330241,13625682,19084635,255080381,11172273,16085947,17823087,12619184,12619186,17823091,19036172,17779458,17779459,17900258,12680154,9304262,9304263,13588381,19036396,22433873,19126757,19126758,25655594,22663088,19022366,13577440,9296502,6089787,6089785,3813327,2284258,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907 Dl.O(d2) = 9646243,6342345,254458580,2291195,1329347,758997,431552,243627,243126,134385,73044,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73041,73549,39769,39767,73536,135244,254094377,761608,254207749,3836395,6132049,9306453,9306454,6111638,6111639,9330241,13625682,19084635,255080381,11172273,16085947,17823087,12619184,12619186,17823091,19036172,17779458,17779459,17900258,12680154,9304262,9304263,13588381,19036396,22433873,19126757,19126758,25655594,22663088,19022366,13577440,9296502,6089787,6089785,3813327,2284258,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13171217, s2 = 13178748, dlinesl.size( ) = 2 s1 = 13171217, s2 = 13178748, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13171217, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 163503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9336305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9336305, s2 = 16183258, int(edited[s2]) = 0 s1 = 9336305, s2 = 16183258, d1 = 4, d2 = 6 Dl.O(d1) = 99139507,85216612,71650808,58928834,47546481,37640245,29089821,21791849,15733452,10896735,10896737,9883439,6493679,4068926,2434770,1408055,1408058,2434757,4068906,4499303,7145379,9873675,6486294,6486291,9873662,9897853,9883524,6493724,4068953,2434783,1408062,801143,801144,1408070,2434803,4061580,4061579,4069248,4069247,6493121,4532700,2724678,1578841,897639,506445,506446,897646,506456,506458,897686,1578935,2724856,4500230,4500231,6484631,5317594,5317593,8246040,12215828,9870919,9870916,7223737,6507633,4102973,4102970,4102958,4102956,6549262,4537134,4537136,7196079,7196075,7144692,254510695,4076111,4076110,6504794,9897686,7193937,7193938,10880936,9901993,6508339,6508340,9901994,13371325,9138756,5980348,5980350,9138764,13371345,18775705,23748474,17423022,17423021,23748470,31232013,30717237,23299980,23299979,29187161,31020823,31022999,23541841,17233603,15790716,15790715,16597291,22816039,23148591,16888010,11816794,11816792,8144960,5350438,5350439,8293451,12280205,17423027,23748478,31232018,28230693,28230694,31232002,23748458,21999709,15900131,15900132,12341807,8337969,7297795,4603016,2769897,1606177,913565,913564,1606172,2769886,4602996,7297764,11022668,15900078,21999646,23260329,16997251,11911472,7967731,7967732,255526067,16997250,16997249,268424893,20296319,14564813,14564814,20296320,14564817,10022229,6586983,6586984,10022231,14564820,20296326,27224820,35347848,40981392,51123571,256212194,25491232,25491233,33240992,42201992,52561884,64436964,77605777,83550826,70019472,70019473,83550828,75236764,75236759,74679222,62360190,62360186,75237069,81841199,95899072,97033580,259115096,96602683,82620742,82620743,257867560,62660518,257712633,40896157,40896156,35072348,35072349,44447012,40896159,32121948,24543860,18109425,12841225,8732435,5685111,3536537,2105060,1212158,683726,267757683,2105061,3536538,5685114,8732439,12841236,18109450,24543900 Dl.O(d2) = 40896265,51034112,62660759,75603696,71958999,59220634,47822433,37900496,37900495,47822431,42575224,33558379,255563878,13658459,255279918,22001121,21203223,15237519,10511451,10511452,6931773,6931677,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574588,5574530,5574528,8579636,12636346,16864231,21312910,15342662,14196010,9758789,6416539,6416537,9689307,6373356,6373357,9689311,14086796,19652942,16400158,11416548,11416549,16400159,267978962,9690670,14089118,14904079,19650343,14084829,14084828,19650340,20797072,26391435,19657036,19653794,19653795,21482096,15478693,10703811,10703813,15478697,21482102,19662498,14094079,9693828,9693829,9694331,9695225,9695224,14094086,14092875,13531565,9690858,9690857,14089426,12031194,8088336,8088337,11612833,16644904,22872957,23388662,17116910,12028649,8086749,5181269,3161332,3161330,5181266,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,1056290,1850712,1056236,593900,593901,1056244,1850727,3161396,5181415,8086960,12028965,17117361,22785219,16569332,11550390,7684642,7684643,11550392,255494451,30173984,30184694,30184693,37326054,28789646,21525529,15513333,10729112,10729111,255410069,15513335,21525531,16275476,16275477,22444281,24913968,18408143,18408144,24913969,256050632,26141460,26141459,33981019,39929535,31254357,31254356,39929533,49947062,39930156,39930155,39930154,47945602,47095689,37199822,28677068,21428675,15435809,10671170,10671171,15435815,21428692,24499477,21409310,15420927,15420924,16086260,15108874,10421203,10421201,15108864,21035169,28232303,22218553,16086801,11172801,7412691,4683918,2822064,1637181,930911,524665,267972818,49153,27499,15580,15579,27498,49151,89366,162583,293993,524659,930898,267790007,4683778,7412412,11172292,254769189,254351897,2822079,4683943,7412737,11172874,16086910,256390945,48043029,59434819,72173310,85767586,85767584,72173309,72173308,85767583,99721666,113736303,127605280,132233663,118417887,104258355,104258354,90124070,76308071,63285415,51566983,41344884,32497449,24855201,18358553,13034862,8877165,5788712,3609099,268404828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9336305, s2 = 16183258, dlinesl.size( ) = 2 s1 = 9336305, s2 = 16183258, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9336305, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6430491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6430491, s2 = 6570753, int(edited[s2]) = 0 s1 = 6430491, s2 = 6570753, d1 = 12, d2 = 27 Dl.O(d1) = 254288366,310512,171724,94506 Dl.O(d2) = 2989651,4952769,7808736,268014358,48903170,256082830,254887828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6430491, s2 = 6570753, dlinesl.size( ) = 20 s1 = 7905466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7905466, s2 = 13560168, int(edited[s2]) = 0 s1 = 7905466, s2 = 13560168, d1 = 15, d2 = 36 Dl.O(d1) = 36727155,36727156,29851006,29851007,38418983,31474086,29851066,29851064,29987663,38557244,40158442,31474060,29232770,22485854,16313708,16313707,22485848,29850979,31484421,31484422,28234478,22378302,16221965,16221966,22378309,21915541,21915540,29232572,35013229,29851015,29851014,38418992,44445812,44445813,38945479,30359336,22957855,22957856,30359341,38945484,36741133,36741135,255658090,46327586,46327585,48328683,38420334,38250558,255576604,37424504,38420338,29852306,29852307,38420340,30266577,30266575,24530911,18098545,18098546,18510387,24531002,24531000,30260713,30260712,29851298,29736554,22378613,16222157,11277095,11277093,16222172,13371050,13371049,14360221,11350381,9139174,9139172,13371900,18776245,254442838,39380131,255140812,11998946,11998945,17086472,268003488,7545818,7545817,8164170,8053172,5144089,3129491,3123571,1825767,1825766,3123569,5136833,5156190,3139839,3139838,5153235,5148001,5148000,8056845,11976355,8022829,8013453,5119768,3110159,1817439,1817438,3110158,3157489,1848181,1054752,593072,593071,1054747,1848176,3157483,5176203,5153256,3137159,3137157,5117314,3118214,3118215,3132566,1831332,1045144,1037130,584220,326455,180191,180195,326476,584260,1037218,1816485,3108100,5117017,5100964,5100963,4760917,4760915,5123920,5123919,5168716,3150835,1843415,1843416,3150838,5168724,5168790,5168789,8074290,8052726,5143491,3129008,1829202,1044010,1044009,1829200,1836050,1832460,1832462 Dl.O(d2) = 263212382,142427536,261797256,87054248,73436257,258836181,87054245,73436253,73436252,87054242,271370083,272243471,155072188,166769545,263212001,194768283,263212002,186653074,194772009,273373950,177329324,166774347,155077338,142432993,262781025,262307178,272588023,101056561,260077771,259460605,73436256,60687913,49286518,268426692,254822517,5117846,3134214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6424397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6424397, s2 = 14489398, int(edited[s2]) = 0 s1 = 6424397, s2 = 14489398, d1 = 7, d2 = 7 Dl.O(d1) = 254183451,187644,342092,615325,1096070,1918831,3264684,5315369,8243648,12213169,17339356,13214052,9007499,9007500,8168299,5237755,3197286,3197282,5237743,8168273,11362219,12138580,12138582,17258432,17320091,12195245,254072558,9972313,14493430,17316164,267745968,254183454,27027146,27027148,26159158,19459544,19459543,17535865,17535863,22820109,22820110,22974348,17595317,17595320,23939273,29746181,22386825,16228444,16228445,22386828,29746186,38314896,40061575,31378831,23881920,23881919,31378826,40061569,44490398,44490397,55336109,47310471,257071758,49140486,257654552,268251748,16348137,254399394,29347713,22015876,16352414,11379294,7560069,4780461,4780463,7560075,11379308,16352434,16351581,16351582,22501505,16327247,11359073,11359072,16327246,22482580,22482579,29848180,38412117,29839377,22471696,16302338,11343126,11343125,7540393,7540394,11346841,11346842,16308288,17237143,17237144,22505421,22084136,22084135,29413991,22083730,22083729,28876145,29844332,22477743,16307055,16307053,22477736,22494867,22490036,16317024,11352262,11352263,11345757,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540799,4769929,4769930,7540814,11348333,11344476,7538781,7538780,7543284,7543283,11345079,16305658,21295334,15328545,10587117,10587118,15328547,11040084,11040085,15917872,11693054,11693053,16736548,22973066,22476916,16306381,11345532,11345531,16306379,22476913,21298330,21298331,18106610,12839080,8730864,5684045,3535800,3535798,5684035,8730842,12839035,16305777,16305779,17882687,17882684,15328988,15328990,15918660,15918662,22020133,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,3210631,3210633,5253956,8184360,12153892,17274526,21157882,22229135,28301571,36798445,36798443,39381050,31246156,23761698,17433994,17433995,23761704,23357931,17754322,12562461,8517700,5515987,5515989,8517705,12562471,17754335,24115344,31054595,31054594,36799228,28302136,25088986,22567833,22567832,28303917,25403962,25403963,28300071,21091748,15152091,15152090,21094395,20235830,14520718,9991482,9991483,6888126,4324331,4324334,6888139,4677475,4677477,7404034,11162252,15672807,12743286,12743285,12743275,8660032,8660033,11195467,11195466,12008345,16775117,15903729,15903730,22004381,29335564,37904347,47825993,44617098,39155132,30557546,23140147,16879958,254422588,14518358,16466573,22660541,30035583,38609716,36797147,28299841,21091562,15150203,15150202,21091560,28299834,29547888,30076087,22695389,21091515,15150179,10448666,6888125,6888124,10448663,11162244,11162243,11162245,16074461,17095022,12008341,12008342,17095026,23363993,30789666,24552557,22695386,16493145,11491313,7642917,7642919,11491317,16493158,22695398,30076098,38652704,48568418,44617100,35235179,27139798,27139799,35235180,31911110,29547903,22204279,16074481,11162265,11162266,16074485,22204283,29547905,23351509,23351510,30775260,268125920,28299758,21091512,21091511,21091506,15150172,11162240,11162239,16074456,22204260,17981027,17981026,21091540,28299801,268177406,16493147,16493141,16493140,16493150,16493154,22695395,30076093,30775280,31911093,31911094,40625211,49324466,60726616,58057078,267920190,34191353,26319435,19593783,14039119,14039118,19593782,26319434,34191372,43288429,255455590,49304428,49304431,39376712,255879168,23351522,30775272,39376709,48932413,41828180,41828177,52146244,63970425,268272662,39011798,39011797,39011799,48935273,40625218,31911102,31911103,40625222,40625216,31911098,31911097,40625213,50682479,50533218,50351630,40324763,31635460,24128462,24128460,31635457,40324761,48935287,46682873,46682874,52146233,41828172,32903487,30419554,30419555,254328074,17907052,24288493,31802871,40497915,50533221,50533213,50533214,55267219,67608696,70969796,58254068,46887163,37008254,28509538,24552515,18115709,18115710,267898380,26319423,34191359,43288418,40324764,33317706,33317705,42298349,52685041,51053211,51053212,55686740,44778489,35353703,254371096,39376673,49304410,52146242,41828175,32903489,32903488,41828173,52146236,48223935,267834960,50533219,44419896,35045490,35045489,30419616,30419618,39008866,40911289,40911287,50351679,48656017,48656016,60052371,62024993,62024994,255510958,40911294,32133488,32133486,40911290,43288414,43288413,254807572,37547389,29001714,29001715,37547391,40324785,31635483,24128473,24128474,27230548,27230547,27230551,35353707,255127556,24128453,17765308,12571522,12571523,17765309,24128456,26965110,31635443,31635444,38314132,29745435,29745433,254248406,59610738,48932513,48932512,40324789,31635487,31635488,40324793,50351665,50351675,40324803,40324804,46690144,46690143,58063050,55686829,44778597,268097210,36806251,28309395,21099429,21099428,28309393,31635441,35353864,35353863,31635466,24128466,254554986,8525748,8525749,12571526,17765314,24128472,31635480,27230658,20301411,254807578,6588900,6588899,10025155,14568840,16775030,11728543,11728544,16775035,20301436,20301437,27230697,27230661,20301412,254555010,35353837,44778608,55686760,55686800,44778574,255510980,55686820,48932519,48932520,60330394,255127406,68085120,68085121,55686778,44778539,35353761,35353760,44778536,44778551,35353773,27230600,27230599,35353771,44778548,44778628,35353855,27230676,20301421,267984864,10025163,14568852,20301420,27230672,35075993,30419204,23014221,16774450,16774451,23014227,30419211,35353776,44778555,43160051,43160049,53671023,50221789,40199560,268238284,23014263,16774479,11727979,7829707,4969952,4969951,7829704,11727970,16774471,16774440,16774439,16774522,23014307,23014316,30419293,37010595,29745356,254172412,44778520,55686763,55686764,49413569,49413568,44778579,35353795,27230617,20301383,20301382,27230614,24012847,24012846,24012843,17665399,12491848,8460760,5466760,5466761,8460764,12491856,17665412,24012856,31513441,268097204,60330182,255955398,30419233,23014257,16774473,11727975,11727976,11727964,11727962,16774464,16774536,11728037,7829747,7829746,11728034,16774531,23014322,30419302,39008534,46889598,58256689,48932180,39008559,39008558,48932177,255955202,39008594,48932218,255127414,44778582,40199550,31513418,24012832,17665392,17665388,17665387,24012826,17665410,17665409,23014248,30419226,39008541,48932122,39008484,255510938,60330141,48932202,39008584,30419272,23014297,16774512,11728023,11728025,16774517,23014304,23014314,255510930,30419348,30419347,39008649,48932258,60330143,48932123,48932124,60330145,72344952,59610689,59610690,50221797,50221798,50221751,48868537,48868538,40199548,38314055,29745360,29745359,38314053,48223924,39008539,39008538,48932156,60330176,61703400,50221759,40199533,40199534,50221763,61703389,50221753,40199526,40199527,48932199,39008579,39008580,30419284,23014300,23014299,30419280,39008589,48932208,60330201,72344958,85938711,255510926,60330213,48932226,48932224,60330210,73070869,74486092,71005661,58290375,46924621,37046561,37046559,46924615,58290370,58804534,60330284,73070914,86675752,99029034,85104640,71533536,71005664,71005663,84569888,98493218,98493239,90818888,76943223,76943222,84569925,71005704,58290423,58290425,71005706,71005647,58804519,47417368,47417366,58804514,71533533,84569900,84569901,98493226,270805191,58290390,46924627,46924628,58290395,255127394,47417383,47417384,58804549,71533562,85104660,74074961,61293333,60261317,48868327,38948598,30362523,30362522,38948594,48868321,60261310,72996971,72996994,60261326,60261325,72996990,60261352,268963375,38948618,48868357,60261354,49813651,49813650,61293341,74074969,87682174,74074972,256029106,39793073,49813656,61293345,74074974,87682179,74074975,74074976,61293357,61293356,50558021,50558022,268927986,48534322,38619052,38619051,48534320,49813637,60261371,60261372,50216904,40194556,38948628,37979994,29417069,22086657,22086656,29417067,37979992,38948622,38948623,48868364,49813666,48868368,48868367,60261307,48868316,39793087,31112571,23626110,17310428,12186338,8216797,5286807,5286808,8216799,12186340,17310432,23626114,30362557,30362555,38948632,48868372,60261366,48868558,48868557,48868380,38948642,30362564,22961214,22961213,30362561,38948639,37980001,29417079,22086664,15980378,15980377,22086662,29417074,24009071,22086670,22086673,29417088,30362513,30362512,31112585,23626120,23626121,30715090,30362640,22961270,16725277,11683133,11683134,255508733,16725369,16725368,22961400,16725366,16725365,255952931,268963381,30362693,22961307,16725297,11683142,7790676,7790677,11683144,16725304,22961317,255452928,30362586,30362585,22961407,22961406,30362819,256997117,49239939,39313111,257021823,38948812,30362738,22961343,22961342,30362734,38948810,31705239,30362801,22961388,22961389,30362798,30362756 Dl.O(d2) = 254183451,187644,342092,615325,1096070,1918831,3264684,5315369,8243648,12213169,17339356,13214052,9007499,9007500,8168299,5237755,3197286,3197282,5237743,8168273,11362219,12138580,12138582,17258432,17320091,12195245,254072558,9972313,14493430,17316164,267745968,254183454,27027146,27027148,26159158,19459544,19459543,17535865,17535863,22820109,22820110,22974348,17595317,17595320,23939273,29746181,22386825,16228444,16228445,22386828,29746186,38314896,40061575,31378831,23881920,23881919,31378826,40061569,44490398,44490397,55336109,47310471,257071758,49140486,257654552,268251748,16348137,254399394,29347713,22015876,16352414,11379294,7560069,4780461,4780463,7560075,11379308,16352434,16351581,16351582,22501505,16327247,11359073,11359072,16327246,22482580,22482579,29848180,38412117,29839377,22471696,16302338,11343126,11343125,7540393,7540394,11346841,11346842,16308288,17237143,17237144,22505421,22084136,22084135,29413991,22083730,22083729,28876145,29844332,22477743,16307055,16307053,22477736,22494867,22490036,16317024,11352262,11352263,11345757,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540799,4769929,4769930,7540814,11348333,11344476,7538781,7538780,7543284,7543283,11345079,16305658,21295334,15328545,10587117,10587118,15328547,11040084,11040085,15917872,11693054,11693053,16736548,22973066,22476916,16306381,11345532,11345531,16306379,22476913,21298330,21298331,18106610,12839080,8730864,5684045,3535800,3535798,5684035,8730842,12839035,16305777,16305779,17882687,17882684,15328988,15328990,15918660,15918662,22020133,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,3210631,3210633,5253956,8184360,12153892,17274526,21157882,22229135,28301571,36798445,36798443,39381050,31246156,23761698,17433994,17433995,23761704,23357931,17754322,12562461,8517700,5515987,5515989,8517705,12562471,17754335,24115344,31054595,31054594,36799228,28302136,25088986,22567833,22567832,28303917,25403962,25403963,28300071,21091748,15152091,15152090,21094395,20235830,14520718,9991482,9991483,6888126,4324331,4324334,6888139,4677475,4677477,7404034,11162252,15672807,12743286,12743285,12743275,8660032,8660033,11195467,11195466,12008345,16775117,15903729,15903730,22004381,29335564,37904347,47825993,44617098,39155132,30557546,23140147,16879958,254422588,14518358,16466573,22660541,30035583,38609716,36797147,28299841,21091562,15150203,15150202,21091560,28299834,29547888,30076087,22695389,21091515,15150179,10448666,6888125,6888124,10448663,11162244,11162243,11162245,16074461,17095022,12008341,12008342,17095026,23363993,30789666,24552557,22695386,16493145,11491313,7642917,7642919,11491317,16493158,22695398,30076098,38652704,48568418,44617100,35235179,27139798,27139799,35235180,31911110,29547903,22204279,16074481,11162265,11162266,16074485,22204283,29547905,23351509,23351510,30775260,268125920,28299758,21091512,21091511,21091506,15150172,11162240,11162239,16074456,22204260,17981027,17981026,21091540,28299801,268177406,16493147,16493141,16493140,16493150,16493154,22695395,30076093,30775280,31911093,31911094,40625211,49324466,60726616,58057078,267920190,34191353,26319435,19593783,14039119,14039118,19593782,26319434,34191372,43288429,255455590,49304428,49304431,39376712,255879168,23351522,30775272,39376709,48932413,41828180,41828177,52146244,63970425,268272662,39011798,39011797,39011799,48935273,40625218,31911102,31911103,40625222,40625216,31911098,31911097,40625213,50682479,50533218,50351630,40324763,31635460,24128462,24128460,31635457,40324761,48935287,46682873,46682874,52146233,41828172,32903487,30419554,30419555,254328074,17907052,24288493,31802871,40497915,50533221,50533213,50533214,55267219,67608696,70969796,58254068,46887163,37008254,28509538,24552515,18115709,18115710,267898380,26319423,34191359,43288418,40324764,33317706,33317705,42298349,52685041,51053211,51053212,55686740,44778489,35353703,254371096,39376673,49304410,52146242,41828175,32903489,32903488,41828173,52146236,48223935,267834960,50533219,44419896,35045490,35045489,30419616,30419618,39008866,40911289,40911287,50351679,48656017,48656016,60052371,62024993,62024994,255510958,40911294,32133488,32133486,40911290,43288414,43288413,254807572,37547389,29001714,29001715,37547391,40324785,31635483,24128473,24128474,27230548,27230547,27230551,35353707,255127556,24128453,17765308,12571522,12571523,17765309,24128456,26965110,31635443,31635444,38314132,29745435,29745433,254248406,59610738,48932513,48932512,40324789,31635487,31635488,40324793,50351665,50351675,40324803,40324804,46690144,46690143,58063050,55686829,44778597,268097210,36806251,28309395,21099429,21099428,28309393,31635441,35353864,35353863,31635466,24128466,254554986,8525748,8525749,12571526,17765314,24128472,31635480,27230658,20301411,254807578,6588900,6588899,10025155,14568840,16775030,11728543,11728544,16775035,20301436,20301437,27230697,27230661,20301412,254555010,35353837,44778608,55686760,55686800,44778574,255510980,55686820,48932519,48932520,60330394,255127406,68085120,68085121,55686778,44778539,35353761,35353760,44778536,44778551,35353773,27230600,27230599,35353771,44778548,44778628,35353855,27230676,20301421,267984864,10025163,14568852,20301420,27230672,35075993,30419204,23014221,16774450,16774451,23014227,30419211,35353776,44778555,43160051,43160049,53671023,50221789,40199560,268238284,23014263,16774479,11727979,7829707,4969952,4969951,7829704,11727970,16774471,16774440,16774439,16774522,23014307,23014316,30419293,37010595,29745356,254172412,44778520,55686763,55686764,49413569,49413568,44778579,35353795,27230617,20301383,20301382,27230614,24012847,24012846,24012843,17665399,12491848,8460760,5466760,5466761,8460764,12491856,17665412,24012856,31513441,268097204,60330182,255955398,30419233,23014257,16774473,11727975,11727976,11727964,11727962,16774464,16774536,11728037,7829747,7829746,11728034,16774531,23014322,30419302,39008534,46889598,58256689,48932180,39008559,39008558,48932177,255955202,39008594,48932218,255127414,44778582,40199550,31513418,24012832,17665392,17665388,17665387,24012826,17665410,17665409,23014248,30419226,39008541,48932122,39008484,255510938,60330141,48932202,39008584,30419272,23014297,16774512,11728023,11728025,16774517,23014304,23014314,255510930,30419348,30419347,39008649,48932258,60330143,48932123,48932124,60330145,72344952,59610689,59610690,50221797,50221798,50221751,48868537,48868538,40199548,38314055,29745360,29745359,38314053,48223924,39008539,39008538,48932156,60330176,61703400,50221759,40199533,40199534,50221763,61703389,50221753,40199526,40199527,48932199,39008579,39008580,30419284,23014300,23014299,30419280,39008589,48932208,60330201,72344958,85938711,255510926,60330213,48932226,48932224,60330210,73070869,74486092,71005661,58290375,46924621,37046561,37046559,46924615,58290370,58804534,60330284,73070914,86675752,99029034,85104640,71533536,71005664,71005663,84569888,98493218,98493239,90818888,76943223,76943222,84569925,71005704,58290423,58290425,71005706,71005647,58804519,47417368,47417366,58804514,71533533,84569900,84569901,98493226,270805191,58290390,46924627,46924628,58290395,255127394,47417383,47417384,58804549,71533562,85104660,74074961,61293333,60261317,48868327,38948598,30362523,30362522,38948594,48868321,60261310,72996971,72996994,60261326,60261325,72996990,60261352,268963375,38948618,48868357,60261354,49813651,49813650,61293341,74074969,87682174,74074972,256029106,39793073,49813656,61293345,74074974,87682179,74074975,74074976,61293357,61293356,50558021,50558022,268927986,48534322,38619052,38619051,48534320,49813637,60261371,60261372,50216904,40194556,38948628,37979994,29417069,22086657,22086656,29417067,37979992,38948622,38948623,48868364,49813666,48868368,48868367,60261307,48868316,39793087,31112571,23626110,17310428,12186338,8216797,5286807,5286808,8216799,12186340,17310432,23626114,30362557,30362555,38948632,48868372,60261366,48868558,48868557,48868380,38948642,30362564,22961214,22961213,30362561,38948639,37980001,29417079,22086664,15980378,15980377,22086662,29417074,24009071,22086670,22086673,29417088,30362513,30362512,31112585,23626120,23626121,30715090,30362640,22961270,16725277,11683133,11683134,255508733,16725369,16725368,22961400,16725366,16725365,255952931,268963381,30362693,22961307,16725297,11683142,7790676,7790677,11683144,16725304,22961317,255452928,30362586,30362585,22961407,22961406,30362819,256997117,49239939,39313111,257021823,38948812,30362738,22961343,22961342,30362734,38948810,31705239,30362801,22961388,22961389,30362798,30362756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6424397, s2 = 14489398, dlinesl.size( ) = 2 s1 = 6424397, s2 = 14489398, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6424397, Dl.E( ) = 8, 1.38e-05 seconds used appending s1 = 6418896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13192649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13192649, s2 = 11430880, int(edited[s2]) = 0 s1 = 13192649, s2 = 11430880, d1 = 31, d2 = 40 Dl.O(d1) = 2246874,2246939,1396473,794514,450172,450173,794515,1396476,1453023,2194170,1307155,1307154,1453012,1453013,2413421,1396970,1293516,1293517,1306666,1296132,1296133,746195,424054,412876,233044,233045,412879,726126,795743,1398328,1421874,808958,808959,745943,745944,452593,452594,424125,239431,239430,420849,261461,144896,79707,79708,144902,261470,453147,261580,144982,144984,236813,130636,70800,70801,130640,236822,236791,236790,419607,453362,423942 Dl.O(d2) = 272448981,272448982,272769775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13192649, s2 = 11430880, dlinesl.size( ) = 20 s1 = 13192661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13192661, s2 = 14976781, int(edited[s2]) = 0 s1 = 13192661, s2 = 14976781, d1 = 61, d2 = 97 Dl.O(d1) = 256631,254083691,140453,253880,142181,142182,142396,142395 Dl.O(d2) = 109447102,259161340,150413137,162542652,173574233,183369308,191932298,199298627,205531427,201598936,194618984,186468973,177117923,166540124,154834938,142199102,142199101,154834937,166540123 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9667720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10134827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10134827, s2 = 18954, int(edited[s2]) = 0 s1 = 10134827, s2 = 18954, d1 = 11, d2 = 8 Dl.O(d1) = 540275,540276,958906,1686575,254361191,7626502,11463445,11463444,11465892,7626516,4825157,2907657,1686578,1686579,2907665,4825177,5875641,5875640,8999763,13201653,16770111,16770110,16251666,11298666,7501383,7501385,11298669,11463333,11463332,13201019,8999379,8999381,13201023,8999461,5875463,3668566,3668565,3668620,3668619,5875540,5875539,8999593,6023978,4824157,4824158,7624881,7624923,7624924,11463457,16452878,13201051,13201050,18575970,20081526,14398221,9903644,6509357,4079095,4079096,6509362,9903652,14398231,11465935,11465936,16455551 Dl.O(d2) = 21474864,21474863,22647145,22647148,30016383,22644342,16454130,11464422,7625565,7625563,11464414,16452667,16456272,16456274,22644292,16454103,16454102,16456218,17147060,16452664,16452662,22642451,30014276,25128983,25128435,18575989,18575988,25128429,32833310,41754155,38587041,38587042,41754139,41754130,41754131,35047185,26966405,20081540,20081541,22642688,22642687,22642615,255926631,38586880,48501811,52067963,47170739,37264722,37264721,256741948,256216726,38586712,38586710,38586870,48501647,38588834,38588835,47170720,37264703,28732452,28732453,37264708,47170723,257136772,72637588,85124194,268975742,59895596,48501746,48501747,38586886,38586887,48501817,55265857,61528101,60157779,48763944,38844365,38844366,38586700,38586702,48501612,59895493,50048413,48180315,38271147,38271146,38586738,38586737,31348730,23854916,23854915,31348603,40028659,50048487,40028631,31348587,23854839,23854841,31348592,40028640,50048420,40028801,40028728,31348639,23854865,23854863,30260674,22864679,22864678,30260669,38844372,38587665,38587666,48502629,257412824,50048400,40028566,40028565,50048398,50048895,61528085,257069157,40028818,50048749,50048903,50048904,58834646,47448477,47448478,58834649,50048596,40028708,40028709,50048598,61527969,257651829,50048602,258072966,40028673,40028675,50048545,61527901,61527761,50048368,40028545,40028546,50048372,50048377,50048376,58834666,47448490,37540438,37540437,47448495,58834672,61564917,74342210,72642961,72642962,72642801,59901549,48507911,48507889,48507887,59901515,72642771,61527913,58834660,47448485,47448483,58834655,70194857,57527663,57527662,70194853,61528028,50048809,50048807,40063318,31380450,31380451,40063322,50084839,61564946,74342217,86240871,86240872,72638349,59949366,59949367,71562005,58834683,58834682,71562002,61564902,50084810,48501576,38586680,38586679,48501572,59895458,72637456,64602877,64602878,77785866,86244901,72642796,59901544,48507907,38592966,38592958,38592959,48507884,59901518,59901606,72642765,72642766,72642808,83716485,70194842,57527658,57527659,70194845,70772047,70772048,72687929,59949369,59949370,61564938,59949419,59949406,59949404,59898416,59896619,58893750,58893749,51113199,40971030,40971029,50065538,50048613,50048614,44624980,44624981,48502909,59895449,70772064,59896638,48502867,48502868,49186710,48502815,47799661,47799662,47799678,47799677,38587964,30015543,30015544,30020251,38592985,47514068,37609310,37609309,47514062,37609336,37609335,47514091,58053850,63886862,58053829,46679175,36793045,36793046,38642290,30067291,30067290,30067322,30067369,30067371,38642317,38642316,38642322,38642321,48502812,38587896,38587895,38642400,38642401,48502822,38587981,30015571,30015570,38587973,48502877,49735463,40506386,38587947,38587948,37875614,29306447,29306449,37875619,30015551,22643585,16453534,16453529,11463993,7625283,7625282,11463990,16453527,22643577,30015533,38587952,257548547,58053830,46679181,36793047,36793048,46679183,48557330,38642392,38642391,48557328,59949416,257922834,59896550,72638294,257922836,86240859,86240860,269351792,49727391,44625273,35241941,27145045,22643477,16453536,11463996,7625284,4824392,4824393,7625288,11464000,16453542,20236077,20236075,27145066,35241972,30067382,22688619,16488359,16488360,22643478,30015437,38587871,48502789,257323556,49727387,39708817,31031901,31031900,38588474,30016065,22644044,22644045,22644055,16453894,16453893,22643389,16453400,16453398,22643381,22644898,22644425,16454210,16454209,11488107,7640947,7640940,7640941,11488101,16488341,22643510,16453485,11463962,7625266,4824385,2907199,1686355,1686357,2907206,4824402,4824570,4824568,7625594,11464480,16453901,16456524,17242721,12125393,12125386,11465574,11465575,16212648,11465490,11465489,16453388,15148310,10447515,6887395,4323889,4323891,2907688,2907687,4824753,2907407,2907408,2907305,1686404,1686388,1686389,2907268,4824509,7625475,11464279,11464774,7625797,4824697,4824696,7625789,10793998,10793999,15602726,11463957,11463945,7625315,4824407,4824409,7625322,11464043,11464459,10698836,7068273,4450210,4450213,7068281,8156714,5226934,3188767,3188768,5226943,8156729,11464862,11464860,15148318,10447528,6887402,4323902,2586906,1491290,958924,958922,1686597,1686466,958844,540241,302704,167557,92199,92200,167562,302719,540277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10134827, s2 = 18954, dlinesl.size( ) = 2 s1 = 10134827, s2 = 18954, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10134827, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 8065184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8065184, s2 = 14868322, int(edited[s2]) = 0 s1 = 8065184, s2 = 14868322, d1 = 79, d2 = 40 Dl.O(d1) = 10839312,7165573,4513065,2711844,1570961,893173,503967,503966,893167,1570942,2711813,4513006,2944493,1707532,1707533,2944495,4886536,3089370,3089371,4563792,4563791,3091712,3091711,5071407,3074685,3074684,254378409,1793394,1023010,576438,322563,178306,98154,54307,30736,30737,54309,98163,178326,322603,576506,1023115,1790465,1021043,575341,321998,321999,575347,1021053,841837,841839,1487824,1792467,1022367,1014977,572114,320448,177302,97685,97688,177311,320465,572146,1015031,1014580,1014581,1779451,1031538,581308,579790,579789,1028976,1802485,2713608,1801041,1027898,1027899,580072,580071,1029464,1014564,571889,571888,580093,571477,571478,1013840,254252201,5041693,3077391,3077392,3088240,1803607,1029785,1029787,1013861,571491,571490,1013857,1778320,254254069,1025810,578011,323362,178676 Dl.O(d2) = 350654,629418,349583,267746227,1121939,1964293,3340335,5433749,8419157,11195508,11195509,8412561,8412560,10723341,10723342,15505638,17619272,12437408,8406017,5424273,5424274,8406019,12437411,17619275,17629313,12465512,12465510,17641080,23976399,23976398,29736673,22378702,22378703,23130113,16869688,11800712,7881557,7881556,11800726,16869707,22485251,21045104,21045105,21915558,29232605,31468247,23972612,17624438,12444035,8412443,5428862,3337305,1962643,1962642,254598653,5432364,5432363,254600043,12440319,8408650,8408649,12440317,12443786,8412167,8412166,8416588,8416589,8434365,8450503,8447853,5456237,5440220,5440221,5457660,3355332,3355331,5457658,8449427,12454284,17624512,12444152,8412555,5439692,5439693,8420797,12452424,8441640,5450997,3350970,3350969,5450993,8441636,12472219,12475399,8445411,8441557,5450926,5450924,5450930,3350930,3350929,3357082,3357081,5430426,5430425,8414690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8065184, s2 = 14868322, dlinesl.size( ) = 2 s1 = 8065184, s2 = 14868322, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8065184, Dl.E( ) = 98, 4.1e-05 seconds used appending s1 = 7864590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7801857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7801857, s2 = 11655385, int(edited[s2]) = 0 s1 = 7801857, s2 = 11655385, d1 = 0, d2 = 3 Dl.O(d1) = 30591,29650,29649,29527,16925,16924,18098,18097,26200,28414,28077,28078,49003,27404,15524,8709,8705,15516,17404,267735551,29368,31272,18013,18012,31270,55434,100546,183448 Dl.O(d2) = 1064221,598163,598164,1064222,1865653,3188245,5226389,267992913,17242285,23550330,22779552,16564221,11546451,7682034,4860847,4860848,267767180,11546452,254363696,30168610,38751788,48673512,49820642,39799831,31119227,23632517,255483752,12191754,12191753,17316508,23632516,28138542,20960452,20960453,28138545,24084334,17726982,17726981,24084332,17846747,17846748,254795116,16499410,17766043,12572136,8526273,5524850,5524848,6373513,9689576,14087183,10246803,10246804,14903065,20795726,23390599,23390598,20796076,14903337,10246965,6732636,5055324,5055323,7949085,11889253,10246973,10246974,14903351,16568916,11837946,7911448,7911449,11837947,16915035,23179965,255540694,25083433,18539422,18539421,255153504,41697218,258178048,28276900,255501522,6882292,4320234,2584141,1489166,1489164,2584136,4320226,4029924,2414916,2414914,4029937,6423642,6868811,8579223,8579226,10419501,10419500,6868824,6868823,10419515,15106766,21032530,16864235,11796157,11796156,11627023,7745138,7745139,10872471,7188597,7188602,10872503,14197164,14197763,14197762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7801857, s2 = 11655385, dlinesl.size( ) = 2 s1 = 7801857, s2 = 11655385, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7801857, Dl.E( ) = 6, 6.91e-06 seconds used appending s1 = 13661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9669941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 251882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 251882, s2 = 6625733, int(edited[s2]) = 0 s1 = 251882, s2 = 6625733, d1 = 40, d2 = 45 Dl.O(d1) = 6135931,3838827,2299826,2299828,2320146,1345016,1345014,2320142,2300320,1334736,762294,762299,762727,433890,245065 Dl.O(d2) = 33599300,256670515,53071471,65054065,78333109,257650444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 251882, s2 = 6625733, dlinesl.size( ) = 24 s1 = 6422561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10217965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7803123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1480, s2 = 11655377, int(edited[s2]) = 0 s1 = 1480, s2 = 11655377, d1 = 1, d2 = 1 Dl.O(d1) = 21482,23308,42228,77305,78786,78785,142907,78393,42777,42779,78397,78949,143692,253880,142181,142182,142396,142397,257039,456007,804691,1414346,2446209 Dl.O(d2) = 21482,23308,42228,77305,78786,78785,142907,78393,42777,42779,78397,78949,143692,253880,142181,142182,142396,142397,257039,456007,804691,1414346,2446209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1480, s2 = 11655377, dlinesl.size( ) = 2 s1 = 1480, s2 = 11655377, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1480, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 15054499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054499, s2 = 3613110, int(edited[s2]) = 0 s1 = 15054499, s2 = 3613110, d1 = 12, d2 = 22 Dl.O(d1) = 260411260 Dl.O(d2) = 123781083,137504833,150534729,150534727,150534726,162653970,173675403,183461262,192015647,199374368,263920892,214956743,218417228,221324455,265211690,227856395,265529028,222163606,219371022,264710772,207194399,201273956,194240122,186028372,262625208,154205504,261618286,128186422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054499, s2 = 3613110, dlinesl.size( ) = 2 s1 = 15054499, s2 = 3613110, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15054499, Dl.E( ) = 34, 2.91e-05 seconds used appending s1 = 14162026, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 27464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7568433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162008, s2 = 15646186, int(edited[s2]) = 0 s1 = 14162008, s2 = 15646186, d1 = 54, d2 = 84 Dl.O(d1) = 260606449 Dl.O(d2) = 153987453,165759509,164095345,152206633,139476517,126104535,112248488,98268802,84360366,70801843,58085017,255969482,28334367,28334361,21122561,254974130,22090290,21776659,21776658,21122525,15174508,15174509,17022427,11937755,7989468,7989470,11937757,15723883,13743906,9416545,9416546,13743908,13743912,11937752,11937751,8802294,8802293,12938515,267886042,5733732,8802300,12938528,18239819,255741048,28441468,21215881,15247635,15247636,21215886,28441470,36940923,29130697,21823667,15756630,10912186,7216844,7216843,10884994,7216790,7197597,4534595,2725801,1579380,1579377,2725790,4534577,7197555,10885071,7216655,7216652,7216643,7216644,10911770,10885955,10885953,15722594,15756963,254547034,4547215,2733519,2733517,4547210,7216941,10912352,15756892,10912339,10912338,15756889,18589212,16483344,11484871,11484870,16014979,15756399,10912026,7216767,4547124,4547126,7216776,10912053,15755772,10911657,7216590,7216591,10911664,10887936,7199884,7199886,10886678,7198820,7198818,10886689,15723345,21605011,15985378,11097291,7359638,7359633,11097264,10913296,7217480,7217478,10913259,10913257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162008, s2 = 15646186, dlinesl.size( ) = 2 s1 = 14162008, s2 = 15646186, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14162008, Dl.E( ) = 88, 2.81e-05 seconds used appending s1 = 6427630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6434965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8016916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8016916, s2 = 9688250, int(edited[s2]) = 0 s1 = 8016916, s2 = 9688250, d1 = 8, d2 = 20 Dl.O(d1) = 254463082,43342515,34242856,26366143,19633402,19543605,19543606,26263445,34129805,43217509,53729372,50433317,50433316,61923216,65785470,53866922,53866923,61923262,50433404,40400127,31708516,24201202,17831971,12626729,12626730,17831973,24201207,31708526,40400135,50433416,61923271,61923315,50433502,40400256,40400257,50433505,49151807,39225103,30627214,23204618 Dl.O(d2) = 10734561,15521243,16931264,255148540,7920056,7920067,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740033,7498568,11214575,8083503,8083502,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1850125,3049460,3160400,5179673,8084007,12024330,254236682,15840963,15840964,256367903,47734297,256552502,256552504,68087115,55688894,44781177,35357095,27234427,27234428,35357097,37812132,37812133,31777195,24264792,255202026,40471868,50507321,61998914,53127682,53127683,65112892,78395308,92431969,88427314,74795269,74795270,88427311,74795268,74795267,88427313,101922625,87950189,87950190,87827421,258117060,39947519,39947520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8016916, s2 = 9688250, dlinesl.size( ) = 8 s1 = 8141148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8141148, s2 = 13185550, int(edited[s2]) = 0 s1 = 8141148, s2 = 13185550, d1 = 19, d2 = 25 Dl.O(d1) = 256472347 Dl.O(d2) = 1782444,1058751,595394,331982,331980,595391,1031519,1806241,3069697,3083593,3083592,5068221,3072003,3072004,3450909,2044400,2044401,267826479,254339793,2788311,2788314,2714602,1572847,894281,894280,1572845,2714597,4349893,5092394,3090342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8141148, s2 = 13185550, dlinesl.size( ) = 2 s1 = 8141148, s2 = 13185550, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8141148, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 10141721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 220299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8239431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8239431, s2 = 13443674, int(edited[s2]) = 0 s1 = 8239431, s2 = 13443674, d1 = 47, d2 = 38 Dl.O(d1) = 20873306,20873307,28041256,28110934,36583376,46449037,57804919,258009419,64416044,74150804,61370553,258247361,87754979,87754982,260277600,60520854,49119480,46449033,36583373,36583374,46449034,57804917,57804913,46449027,46449028,39191410,30594112,23175359,16911090,16911089,23175357,268658865,46268653,46268654,37256478,37256476,47161792,58550360,47658925,47658926,59059290,71799957,63609442,60053556,48657105,48657104,47658932,47658931,37737029,29176125,255432069,15792327,21865667,21865685,21865686,29176139,37737047,47658985,59059333,71799988,61716035,257083853,31530836,31530837,256361349,29176132,256903081,23258068,16994992,16994994,23258071,30674128,39270427,39270417,39270416,49196558,49196531,39270393,257018301,60597121,258206543,60597154,60597125,60597124,270834684,86447095,259978915,85598720,72011811,72011810,85598718,258810250,59491346,48103247,257518099,72226763,61378613,61378612,257542850,99545975,113557988,101722993,99828179,258755403,59547551,48160737,48160736,57995670,46619506,38191920,29625261,29625260,38191919,38191924,29625264,256395903,48103248,48103255,38191929,29625267,22273980,22273979,29625265,38191926,48103243,48103244,59491342,72226756,59707475,59707476,61365142,49883931,49883930,61365140,74145648,87750033,101722923,261226925,259993730,86664896,85819028,258187026,59491350,72226771,72226776,59491354,59491355,72226778,85819031,99771858,260593491,99771849,85819020,72226769,72226767,85819016,99771842,99771855,85819029,259375759,113785079,114889361,128785216,259105568,113557986,100839002,86858026,73245151,73245150,259446731,86946361,73335552,60591158,49190856,39264788,39264789,49190857,59531127,48143629,38233205,256941503,38960282,31679079,30375327,22974042,16737435,16737434,17732102,17127388,17127385,23399431,17837054,17837053,22312947,16167307,11234810,7455899,7455901,11234812,7798952,254370015,1732975,985212,985211,267793073,4945613,7798938,11693668,255509487,30375332,256997953,31674011,31674012,40368618,40372514,31679077,255902919,11236537,11236536,255902917,31595326,24091860,17734164,12547474,8506782,5507308,5507309,8506784,255193373,15553043,10757035,7106943,4474412,2688115,2688116,2943553,4885021,254798089,8558716,12547459,17734152,17836702,257088742,8484329,12522619,17704244,17776207,12580612,255195835,24140465,268263179,12630621,17836706,16621751,16621750,22844972,30238178,31578286,24072606,17734167,17734168,22313724,22312186,255086457,7454769,4710221,4710222,3456083,2048681,2048682,3456090,5571877,8576007,7456689,5531276,3416804,3416805,5531281,254869547,12598497,17700879,12520146,12520145,255580859,31559684,24147667,255196129,255196131,268445385,17706517,12524684,8486453,5487306,5487309,8486455,8549548,8486460,7638572,4832759,2912187,2912186,3421191,2020538,2020537,3421188,5535756,5485137,3375981,1986983,1986980,3375975,5485133,8484497,8506457,8506456,12547220,17733913,24091603,254871978,25462898,31595071,24091608,24091607,31577192,24071447,17715172,255581991,17811527,12609787,8558511,8558510,12609785,17811522,17736315,17736314,24094398,24179852,254417618,12630627,256042283,268116692,12545043,12545042,13547373,18984658,25594245,256040289,17811529,254871971,5555346,3439664,3439665,254612841,5555395,254417627,3439731,5555430,254871981,5555384,3439693,3439694,5555386,5555400,3439705,2035282,1165802,1165804,2035285,3439706,5555406,268004137,8575741,5571594,5571595,8575744,12609901,8558583,6014755,267811553,1308032,746744,424367,424366,746742,1308030,254299675,6014744,6014748,3762102,254417629,2035310,267756567,362801,198541,108182,108181,198536,267746667,1165790 Dl.O(d2) = 256963548,85169638,85169637,256963546,99078851,90806719,90806718,76930514,259002111,85155222,258777106,47483034,268643368,256420864,99078842,258777104,86855802,86855791,73243034,269367145,39163171,49092984,60270839,48879045,48879046,60270840,73005536,257389262,85155226,259446432,60496271,49092996,39163185,30565672,23148443,16887876,11816711,7894720,5015524,3033620,1765482,1765483,3033623,5015529,7894728,11816727,16887900,16887934,16887935,22973914,16888129,16737424,11693656,7798931,4945610,2984913,1732970,1732969,2984909,3033629,3033630,5015539,7894747,5015575,3033652,1765502,1765503,3033657,5015579,7894825,11816894,16888153,22973973,22973974,23748501,23748502,255995042,48879002,48879004,49717279,39698544,31021521,23540423,23540422,254578462,49717277,61195450,49716831,39698089,31021070,23539982,17231906,17231907,23539985,23277244,23277245,23748447,17423005,12280187,12280185,17423003,256007735,39908451,49927745,61407228,74186956,269772414,61422369,49944387,49093026,39163217,30565705,30565704,39163215,49093024,58751315,58751316,49243727,49243726,60644544 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13230921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13230921, s2 = 14845035, int(edited[s2]) = 0 s1 = 13230921, s2 = 14845035, d1 = 8, d2 = 2 Dl.O(d1) = 267964190,18101952 Dl.O(d2) = 209015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13230921, s2 = 14845035, dlinesl.size( ) = 2 s1 = 13230921, s2 = 14845035, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13230921, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 10148505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10148505, s2 = 14150464, int(edited[s2]) = 0 s1 = 10148505, s2 = 14150464, d1 = 73, d2 = 74 Dl.O(d1) = 9862278,255323031,26923072,25644414,19027061,13581151,9299233,6091690,6091691,6091684,6091685,9299223,13581131,14995665,20900041,15692350,10863364,10863363,15692349,255035030,14418860,14418861,20108282,14423038,9921527,6520869,4085778,2444433,1413372,1413373,267817789,6520879,8833628,8833627,254659443,6112768,4513877,2712294,2712293,4513874,5978703,7166758,4593958,2763769,2763764,4593939,7284662,11004317,254208370,12074316,17172545,23448479,30879230 Dl.O(d2) = 230497973,230497971,265776783,225212474,225212475,227211090,228957028,230497971,265776783,225212474,225212475,227211090,265916205,266044503,230497970,265776783,225212474,225212475,227211090,265916205,228957023,228957024,230497966,231869121,230497973,230497971,265776783,225212474,225212475,227211089,228957025,228957026,230497969,231869125,233103240,231869123,231869122,233103240,231869120,231869119,231869121,231869126,233103241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10148505, s2 = 14150464, dlinesl.size( ) = 2 s1 = 10148505, s2 = 14150464, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10148505, Dl.E( ) = 76, 1.81e-05 seconds used appending s1 = 162388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 162388, s2 = 6440604, int(edited[s2]) = 0 s1 = 162388, s2 = 6440604, d1 = 13, d2 = 7 Dl.O(d1) = 3796346,2273955,1318648,752275 Dl.O(d2) = 254447889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 162388, s2 = 6440604, dlinesl.size( ) = 14 s1 = 8074138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8074138, s2 = 14162029, int(edited[s2]) = 0 s1 = 8074138, s2 = 14162029, d1 = 6, d2 = 5 Dl.O(d1) = 98967171,85042016,257747408,70888948,256093442,29688851,22336264,16188566,11252770,11252768,11252757,11252759,11566716,7698724,7532242,7532241,11334876,16291790,22459691,26962172,20078147,14395622,9901806,9901807,10892228,7203297,4538203,4538200,7203288,9895411,9895410,14389619,20072724,255511351,11731850,11731851,16779355,22129137,255448912,9898638,9898639,14385516,10889239,7200963,4536776,4536775,7200957,9875943,6487967,6487956,6487957,9875926,12144661,12144662,9889922,9889921,11272097,10889810,7201487,7201486,10889804,9877444,9877439,14371435,17008973,23271325,22459734,16291838,16291837,22459733,268336653,14369404,9875315,6487471,6487473,9875318,9884170,9884172,14371629,14371625,254846715,5361400,3295896,254400735,8309108,12302170,9868333,6482485,6482484,9868345,12360051,8351234,8351233,9877683,9877684,7145588,7145589,7194470,4532403,4532405,7194448,9899392,9868993,9868815,6482830,4062330,2431224,2431226,4062364,6482901,4871878,4871880,7697732,11565273,16584912,20040235,14355724,14355725,12216447,12216443,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942259,1706305,1706308,2942310,4882949,4076694,2872181,1666924,948171,948172,1666933,2436879,1409130,801666,454244,255995,141774,141776,256005,454213,255979,255976,454203,801584,1408977,2436552,2433002,2433004,4065757,6488582,6553600,6553599,9876621,6498362,4071930,2436510,2436512,4071939,6498381,7145107,4499115,2703439,1566531,1566532,2703444,4499135,2703731,2703727,4063292,4063290,2439606,1410520,1410521,2433948,2439548,1410482,1410481,2439547,1410885,1410886,2440299,4078531,6488872,6488871,9877138,14371149,14367138,9873289,6499551,6499554,6481666,4061668,4061665,6481661,9866881,11567444,7699279,4872884,4072961,2437114,2437115,4067733,4351038,4351039,6926125,10503876,14378921,20048467,14362697,9869455,6483322,6483320,9869463,14362713,9874034,6486580,4075527,4075190,2942166,2942168,4882700,4075753,4069110,2434866,2434865,4069103,4076021,254470585,2439350,1410361,1410360,2439345,2786080,254520915,11049672,14377460,14377461,18995443,13555676,9280515,9280514,13555674,14390146,254972615,9883543,9883546,11334475,9874585,7844947,7531919,7531917,11334424,10882085,9888870,6497681,4071528,2436288,2436285,4071517,4094719,2449696,1416355,805797,805799,1416360,2449706,4063604,6481703,6481706,4883370,2942595,2942598,2449635,2449640,4094590,6535027,7832426,4971790,4971788,3003006,1743990,1743987,3003017,4971845,6488672,6488670,6479872,6479871,6489524,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801276,454056,454058,801281,1408344,2435276,4069740,6494856,7143892,7143891,10811090,10888472,10888473,10880554,8959122,8959121,9866763 Dl.O(d2) = 753889,1321432,2278566,2726830,4535015,4535013,2942722,1706535,1706534,2726040,2726038,4535042,5030036,3044965,3044968,5030068,7197423,4534490,2725738,2725737,4534487,7197417,4535936,4535935,7199680,6479709,6479713,7197918,4534773,4534772,7197897,6494749,4069671,4069670,6494743,9884856,7197382,7197379,10884851,8619157,5603498,3479098,2064775,2064779,3479199,5603721,8619516,6947152,6947153,9676919,14071032,19634203,15275680,15275681,15299987,15299989,21246773,18509810,18509807,19833898,17153482,12056891,8106401,8106399,9259425,8375967,8375968,12394160,10533386,10533385,10569993,10569992,15294909,13536400,9265995,6069160,6069161,9265997,13536401,10556285,10556284,15291302,17155299,13508603,9242862,6053542,3788114,3788115,6053544,9242866,6561395,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,9243352,6053877,3788312,3788308,6053857,6941402,6941403,10525000,12433327,8402946,5422311,3333304,3333301,5422321,8402973,12433358,10541544,6952076,6952078,10534074,10541982,6952379,6952378,10541976,12060840,12060839,13525551,9256631,6062412,6062411,6065880,3795268,2273312,1318301,1318303,2273322,3794426,2272861,2272858,3794417,3793136,2272085,2272090,2622135,4377900,6058632,6067348,6058303,6058300,9250426,13518344,18954887,25565761,33326444,42306940,52693804,64594419,77777125,73242737,60495916,268627264,255436038,16887299,255062614,18774012,18775558,13375853,13375852,9142672,5982911,5982910,9142671,255187709,254647509,268948136,13373865,9140730,9140731,5982585,3740947,2239577,2239576,3740945,5982580,9142165,13373527,9140428,254918041,12682294,255204525,13376277,9142587,5982849,3741107,3741108,5982853,8174075,5243606,5243607,8174078,9140532,9140530,13373645,13375808,13375805,15577346,15577347,13373197,9140147,268023277,18777779,268142171,9140727,5981617,3740365,3740363,5981614,9140720,13373852,17646931,13373265,13373266,10775779,7119838,4482779,4482781,7119844,10775789,12463232,8431917,8431918,12463237,12464948,17620954,12476972,8447172,5455643,5455642,5459603,8451764,12480913,254859401,5444129,5444130,3475688,2062266,2062268,3475670,3475669,5599321,5457329,5457328,8449036,5457312,5457313,8408035,8408034,12439590,10578958,6978554,6978552,10578955,15316758,17618957,12436991,8405604,5423964,5423963,8405603,8444951,8444950,12454170,12454171,17632253,15965093,12481489,8452453,8440425,5449925,3350263,3350262,5449922,8440419,12470921,8440108,268000689,12471224,8440403,8440402,12451767,8420061,8405963,5424218,5424217,5425612,3335329,3335330,3350191,1969654,1124687,1124688,1969659,254601095,12471095,17644937,17649460,17629460,12450655,8419037,5433668,5433667,5460123,5460124,8452440,12446745,12446746,8423468,8423467,5460088,5460087,8452382,12481428,254858279,8422918,8440132,5449711,3350148,1969634,1124675,630767,630769,1124683,1969645,3350164,5449740,8440171,255186555,23989877,23982123,17635533,12458484,12446817,254598905,5430810,5439366,5455999,3354228,267845921,5430037,8414126,10938158,8407504,5426602,5426606,5437673,3350809,3350812,1969983,1969982,3350831,5441851,3345350,3345353,5441835,8419931,8419928,8434296,12465553,17628195,12476272,254601711,3353679,5455095,4693981,4693980,7428442,8416368,5431604,254272303,1963518,3338929,3351422,3351421,5451676,8442481,8426046,8426045,8409801,5455313,5438415,5425113,3335019,3335018,1972873,1972870,3355835,5458344,8418405,5453549,3352624,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,3350610,3338969,3338972,5431686,5431651,5431652,8411756,5428337,5428340,8411766,8423000,8208671,5279742,3233274,3233276,5279751,5436365,5424152,3334447,1961088,1961087,3334425,3334427,1965927,1965926,3343330,1969715,1969714,3350300,3343474,3342726,1965580,254272495,3342719,267845535,8424459,8449665,8449664,12437698,254598073,5424454,8406298,12437697,12445297,8413693,5429733,3337836,3337837,254598779,12440493,12461857,8447449,5455876,3354149,1971804,1971803,3354148,5455872,8405836,5424125,5424124,3345031,1966908,1123336,1123335,1966906,3345024,5441344,8412045,5428559,3337131,1962552,1121025,628966,628965,1121021,1962544,3337111,3342625,1965536,1965537,1969487,3349851,5444925,3475873,3338198,254405571,5430812,3338448,1963250,1121375,1121376,1963253,3338451,5430817,5454999,8446286,12144461,8174195,5243718,5243717,8174193,5434902,3341063,1964702,1122155,1122154,1964700,3341062,5434901,8420730,8424881,8424880,8433297,8433296,8426557,5439309,3343714,1966168,1122958,1122959,1966171,3343720,3335815,3335814,5426428,5444103,5451817,5599695,3475920,3475919,5449130,8439255,12469990,8441972,5451268,254601243,12472581,17637702,256026849,40165480,50189819,257307710,15106836,256004119,23694373,31184180,23695188,17372886,12240873,12240872,11235778,255086689,255902859,16167868,11235496,7456576,4711574,4711573,7456574,6471154,5508357,3396927,3396926,4711543,7456542,5523831,254609215,12570713,8538651,5537939,5536029,5536028,3453657,3453656,5569742,256033939,12531729,12531730,17715020,24071260,24178892,31687720,40381558,256900527,29146276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8074138, s2 = 14162029, dlinesl.size( ) = 2 s1 = 8074138, s2 = 14162029, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8074138, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 9062062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6432153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6432153, s2 = 13415198, int(edited[s2]) = 0 s1 = 6432153, s2 = 13415198, d1 = 5, d2 = 12 Dl.O(d1) = 254307539,1353627,772095,772096,1347819,1347822,2324980,2360606,1366829,778521,778518,1366817,2325057,2325060,3882727,2360656,2360655,3942209,5774802,3597720,2145834,267807097,5774804,8859700,13012751,256086983,19686115,14114179,9709915,6387656,4008575,3990613,2391630,1386439,788526,788528,1386444,1352779,771653 Dl.O(d2) = 438350,438354,441944,779024,267781431,3925282,6269261,9554421,6733073,6733074,10247708,10728113,15512077,20797562,14904465,14904464,19452007,268781401,53531380,65556374,78891438,93001308,107409499,121792276,135731871,148970881,152743111,262183477,152743112,140053152,126705879,112854095,98866181,84939251,71362541,64376122,257788092,47233089,47233093,256973672,30092904,22711271,268384745,21452127,15453742,10684829,7058294,7058296,10684831,15453746,21452133,17736112,12549024,8508150,8508149,12549021,17736108,24094199,30517106,28706759,28706758,25536705,25536706,256650663,32254419,32254418,41047698,51203879,50016730,39998601,33688329,33688330,29029292,29029294,37576486,33688254,25881858,19222575,19222574,25881856,33688250,42718303,33688302,25881894,20266043,14540471,14540469,20266041,27190249,27286677,27286680,35411734,35411735,29165468,29165465,35411686,27286639,256241375,35411654,27286619,20351534,20351533,256768097,55744735,59685603,72420658,74550846,68130441,55732948,55732949,68130442,81619890,72420659,72420658,61766933,52647764,42262111,33282301,33282300,42262108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6432153, s2 = 13415198, dlinesl.size( ) = 8 s1 = 40714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10159909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178869, s2 = 8206217, int(edited[s2]) = 0 s1 = 13178869, s2 = 8206217, d1 = 157, d2 = 180 Dl.O(d1) = 40470499,268501293,13658937,13658938,19129821,256106823,25133069,28328918,21118453,21118452,28328917,29318834,21990170,21990171,26374120,19640662,254660564,6367871,3995667,2394475,1385692,788114,446422,446424,768218,768216 Dl.O(d2) = 261873019,130465760,261331481,143793938,130465770,116621467,102517714,102517713,116621463,130465764,143793930,156318071,167898333,156318076,143793935,130465769,116621467,102517714,102517713,116621464,130465765,143793931,156318073,167898347,167898338,167898339,167898334,156318067,143793926,130465762,116621462,116621461,261331481,143793938,130465770,116621467,102517714,102517713,116621464,261331483,143793912,143793911,156318047,167898327,262846985,156318035,143793904,130465747,116621454,102517707,88509850,74873955,257691707,40547841,40547842,50583778,62075784,74873958,88509856,102517717,116621468,130465771,143793939,156318082,167898352,167898351,167898350,178325283,187526653,195536505,187526656,178325285,178325284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13178869, s2 = 8206217, dlinesl.size( ) = 50 s1 = 9723563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13213869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13458999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 45741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1387169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6420917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6420917, s2 = 11613426, int(edited[s2]) = 0 s1 = 6420917, s2 = 11613426, d1 = 125, d2 = 130 Dl.O(d1) = 254123457,292757,161930,254086119 Dl.O(d2) = 243074841,242760081,242760080,267174125,242760081,242421992,267066049,241232722,240769663,240269511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6420917, s2 = 11613426, dlinesl.size( ) = 14 s1 = 7999981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 31000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7825804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7825804, s2 = 9331627, int(edited[s2]) = 0 s1 = 7825804, s2 = 9331627, d1 = 2, d2 = 0 Dl.O(d1) = 270276984,19319159,14477823,9961446,6547016,4101575,4101574,6547013,9961440,14477814,20178616,19100013,19100014,15177600,268066830,6900398,10467851,15177604,21126295,27035646,27035645,30596251,23177275,16912661,11836216,11836136,7910296,7910294,255136259,12420044,8394538,8394537,12420041,17595794,12421440,8395295,5417626,3330378,3330380,2358475,2358476,3939800,4401269,2637694,1523366,1523365,2637693,4401267,7002644,10612329,268206549,254738580,3048892,1776224,1012721,570840,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1012750,1012749,1776331,3049002,3049008,5035728,7920709,7920638,7920637,11850811,11851488,7921040,5035904,5035906,7921047,11851495,11210951,11210952,16029587,16029606,11851023,11851022,11851397,7920982,7920980,11851385,16933380,22237233,16102110,11184559,11184558,11185075,11185080,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597,11130111,7382731,7382733,11130120,16029620,11851375,7920977,7920978,11851377,16933362,23203356,17111062,16102101,16102099,16144239,16245708,16933249,16933247,22286170,23203413,23203274,16933302,16933300,21536297,22233078,23203475,16933461,11851447,11851446,16933217,11851276,7920930,7920933,11851299,16933244,23202579,23202612,22286176,22286178,22286187,22288439,23203310,16933324,16933326,23203316,21829544,15761406,15761408,17111098,17111099,22148621,16029900,11216055,7921226,5036020,5036021,7921229,11851784,8084133,5179745,5179746,7498853,7498854,11294588,16245676,22408977,28802844,21536319,15521217,10734550,10734551,11181313,16098228,22233085,29580820,23205484,16935029,16935031,22288465,16144722,11216198,11216197,11214387,7440968,4701638,4701635,7440958,11214374,16142497,22286200,23401986,17129372,17129371,23203279,23203278,22287679,22287678,23204170,16933983,11851819,7921258,5036033,3049169,3049170,5036040,7921268,5179755,3160442,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832847,4702317,4740242,2856788,1657969,943365,943366,1657973,2856731,2856728,4740111,7441129,7920040,5035332,3048800,3048799,5035347,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,7498448,7498435,7498377,4739911,2856631,2856632,4739919,7498379,11293932,16244994,16244995,22408372,16844418,16844417,23100894,29639976,22288520,16144786,11216245,11216244,16144780,22287444,16143635,11215225,7441501,4701963,4701964,7441506,11215232,15573785,15573784,16931291,254668474,9370015,8791030,8791028,8917554,8917553,6011562,6011558,8777833,12903899,18193019,24650301,32248938,41041652,255291340,254667698,42250838,262180591,112788055,263438279,199323460,264010608,195839135,195839134,264317233,202356065,195499807,187482639,263931232,130383893,143709479,156237592,263266839,187482624,264830187,202356041,202356042,208120144,212873023,265055301,216759668,274216013,202356044,195499783,187482624,178269957,167829401,167829403,263266837,264303947,273753669,263995303,208120203,263995305,178269986,167829419,156237597,262842349,156237595,156237594,167829412,178269973,187482648,187482621,178269954,167829398,156237583,143709477,143709478,156237590,167829406,178269966,187482637,195499799,195499800,195499792,187482633,187482632,195499790,202356052,202356049,202356048,208120149,208120189,212873027,208120182 Dl.O(d2) = 116545842,130383897,262372857,178270003,187482676,195499837,202356111,208120229,212873093,264830191,264830193,219980641,216759700,212873090,212873089,216759681,212873073,208120212,202356095,195499825,187482663,178269989,262372855,143709484,130383895,116545840,116545842,130383897,262372857,178270003,187482676,195499837,202356111,208120229,212873093,264830191,264830193,219980641,216759700,212873090,212873089,216759681,212873073,208120212,202356095,195499825,187482663,178269989,262372855,262842349,156237595,156237594,167829412,178269973,187482648,187482621,178269954,167829398,156237583,143709477,143709478,156237590,167829406,178269966,187482637,195499799,195499800,195499792,187482633,187482632,195499790,202356052,202356049,202356048,208120149,208120189,212873027,208120182,208120184,212873047,212873069,212873068,212873018,208120141,208120140,212873012,212873057,208120200,202356089,195499818,187482653,178269978,167829423,156237600,143709485,130383895,116545840,116545839,130383893,143709480,263995297,263649797,178269997,263266841,263266833,167829398,156237583,262372853,263266831,195499776,264303943,208120223,212873087,265258843,219980652,219980639,216759667,212873040,264830193,219980641,216759700,212873090,212873089,216759681,212873073,208120212,202356095,195499825,187482663,178269989,262372855,262842349,156237595,156237594,167829412,178269973,187482648,187482621,178269954,167829398,156237583,143709477,143709478,156237590,167829406,178269966,187482637,195499799,195499800,195499792,187482633,187482632,195499790,202356052,202356049,202356048,208120149,208120189,212873027,208120182,208120184,264830195,212873085,208120221,202356102,195499831,195499830,195499833,195499832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7825804, s2 = 9331627, dlinesl.size( ) = 2 s1 = 7825804, s2 = 9331627, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7825804, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 13248123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 51460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 32650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 32650, s2 = 10997749, int(edited[s2]) = 0 s1 = 32650, s2 = 10997749, d1 = 0, d2 = 14 Dl.O(d1) = 597186 Dl.O(d2) = 267992031,12097203,8135716,5212560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8599027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13351165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13351165, s2 = 14162037, int(edited[s2]) = 0 s1 = 13351165, s2 = 14162037, d1 = 14, d2 = 7 Dl.O(d1) = 7165185,10838919,15657951,21697766,28979967,31250625,23766130,268250667,12167200,12167199,8299156,8299155,8211593,8211595,12179655,15656615,21696820,23545252,17237521,12120448,12120451,17237525,15612484,15612485,15658359,12117887,12117888,12156410,8186744,8186742,12144088,12167196,17288258,17276142,15612655,15612654,11033788,7308643,7308619,4612687,2777464,2777465,4612691,5294536,3245712,3245711,5249276,7895852,7323863,7319184,4620943,2782550,1614045,1614043,2782537,2784950,4624558,7323497,11048396,8150513,5221890,5221892,7314902,7314901,11026612 Dl.O(d2) = 254182357,267842243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13351165, s2 = 14162037, dlinesl.size( ) = 2 s1 = 13351165, s2 = 14162037, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13351165, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 6429227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 479669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 479669, s2 = 16067461, int(edited[s2]) = 0 s1 = 479669, s2 = 16067461, d1 = 32, d2 = 29 Dl.O(d1) = 12199501,8230328,5301841,3252619,1910115,1090717 Dl.O(d2) = 263466829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 479669, s2 = 16067461, dlinesl.size( ) = 2 s1 = 479669, s2 = 16067461, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 479669, Dl.E( ) = 46, 1.72e-05 seconds used appending s1 = 227873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13322187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14217962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14217962, s2 = 13203960, int(edited[s2]) = 0 s1 = 14217962, s2 = 13203960, d1 = 4, d2 = 7 Dl.O(d1) = 255559955,12305331,9190430,6016080,6016079,9190379,12527415,254718748,8317220,5366967,254269561,1940626,254401201,5364763,5364764,8314241,8265908,5333207,5333208,8265909,8317244,5366992,3299519,1940636,1940637,3299521,5366994,8317249,12300078,8316360,5366265,3299009,1940310,1940309,3299007,5366263,8316358,12228223,12228221,12240565,8266096,8266095,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299131,5366458,5336062,5336059,8269590,12238300,8263929,5331723,3277242,3277245,4708876,7452877,11231486,8287774,8287776,7799347,4945870,2985066,1733062,1160009,1160008,2026492,3428348,5542825,8544765,12294791,12240932,12240930,12241967,8267388,5575553,5575551,8263571,8257491,5327143,5327147,8257507,12229926,10029266,7455814,4710982,2838007,2838008,3415777,3415776,5529893,8531741,11959131,12273067,8287895,5346558,3285814,1932329,1932331,3285819,3286218,4712160,4713405,4401852,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365298,5347299,3286284,1932560,1932559,3286276,5347278,8288919,12274089,13443220,12592839,8543992,8543993,7457727,4712394,2838871,2838869,4712370,7456013,7456012,11231815,12273184,8287996,8287998,12273164,11231441,7454463,7454462,7451625,7107147,5575579,3458861,3458863,4713489,4713488,5347227,5347228,8288842,11231591,7453002,4708961,4708962,5550070,5550071,8552371,9189824,12597468,12597469,17797009,22311004,255193631,8508935,5509442,5509441,8289107,5347403,5347404,8289108,12274299,17415235,16165214,16165213,12036875,8092266,8092265,8539810,9191657,7452904,4708895,2836697,2836698,4708897,4709259,4708312,2836365,2836368,4708304,7451936,255086035,12523315,11230408,11230407,11232038,7453391,4709225,4709226,3459544,3459546,5576338,8582149,12639983,9191971,6017487,3764339,3764338,6017489,254922375,254869213,254650457,3762704,2254234,2254232,3762716,5530050,5530049,3433747,2030961,1163137,652709,361935,361936,652694,1163103,2030900,3429860,5544158,5569543,8573660,9188028,6013539,3760999,2252992,1307527,1307526,2252989,3760994,5569666,8570579,8557843,5554732,3762756,2254266,1308321,1308320,1989911,2034980,1165619,1165618,2034978,3434269,5548622,7900778,8518256,254612147,3434506,3434505,5548939,254421651,2060835,1182686,1182684,1168128,254190775 Dl.O(d2) = 1160583,254250687,1006184,567064,317594,317595,567069,318236,175890,96651,96648,175846,175704,175408,96571,96569,175737,317939,567655,647570,1154192,2017509,3417377,2060855,2060843,254283717,3415017,3415018,5529117,8306460,8306461,8485731,5486623,5486424,5486422,3393484,3380023,3380024,3440476,2035924,1167793,655431,655430,1167789,2038121,2005183,1146238,1146237,2005180,3388520,1996256,1996257,3382595,1991975,1138308,638658,354650,194435,106271,58499,32940,32939,58492,106253,194396,354562,638500,254128863,568629,1008935,1770301,2026294,254138491,650759,360941,197602,107753,107752,197597,360933,650787,1159920,1162720,652463,361814,198048,198047,361806,652445,1162693,2030330,1175797,1175798,2050214,2019211,2019210,3419462,5533968,3423378,3423377,5537943,5554289,5554288,8557371,12608472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14217962, s2 = 13203960, dlinesl.size( ) = 2 s1 = 14217962, s2 = 13203960, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14217962, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 54776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9681402, s2 = 6751900, int(edited[s2]) = 0 s1 = 9681402, s2 = 6751900, d1 = 68, d2 = 40 Dl.O(d1) = 257644070,259499818,129734013,118050070,103908450,260848016,267922987,697188,391021,378834,378839,214975,117842,64464,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64461,64372,64374,64545,36852,36851,62999,115197,210547,382640,685854,1214907,2108967,2139930,1235687,1224903,1224905,1218774,688370,384233,211555,211559,384250,688417,254428915,8764599 Dl.O(d2) = 258082540 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 36193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8113419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8113419, s2 = 14290382, int(edited[s2]) = 0 s1 = 8113419, s2 = 14290382, d1 = 1, d2 = 1 Dl.O(d1) = 105341684,91120575,91120576,105341686,119575697,105341688,91120578,91120577,105341680,105341683,91120575,91120576,105341686,119575698,119575688,119575689,133442619,261830682,133442623,119575691,105341681,91120574,91120573,105341680,119575690,133442620,119575696,105341684,91120575,91120576,105341686,119575698,133442617,146691833,261287958,119575696,105341684,91120575,91120576,105341686,119575698,119575688,259503162,77203462,77203463,91120576,105341686,119575697,105341688,91120578,77203464,64062346,52220884,41889605,32954295,25234500,18665569,13273846,9058651,5922630,3703413,2218113,2218114,3703403,5922621,6772374,6866022,6866024,6799064,6799065,6773950,4245942,2538587,2538586,4245940,5585832,5585833,5585825,3465489,2055042,2055043,3465491,5585830,8596620,12660861,17877361,15038408,10365925,10365924,9712582,9712581,14117257,19689589,26427070,34304730,43406048,257865729,259113287,259553950,113365484,257696270,256563460,47695649,37774255,37774256,254620776,22991661,16752985,11706688,7809284,7809285,5886892,5886894,9016561,13225048,16759202,17461537,23793440,23948350,18627597,13243271,13243270,18627594,18604903,13222972,11701263,7804858,7804859,5765530,3591182,2141108,2141109,3591185,5765537,8846545,12994309,18305898,12994285,12994286,11707406,7809931,4953749,2990270,2990269,4953745,3876121,3700395,3671245,3671243,5880556,268265916,268040936,41152797,44594236,35213545,27121136,27121135,35213544,44594233,48694270,44594226,44594227,55197580,44346900,34969309,34969310,44346904,42123934,42123902,257196563,42123901,33167540,25424901,18831657,18831658,18831690,13417170,9173710,6004338,6004337,9173708,13417167,18831686,25424953,33167585,29058305,21762901,21762900,25424907,25424936,25424935,33167574,29058368,21762954,15706912,15706913,21762956,29058370,27121163,25424956,18831688,18831687,25424954,20217763,20217764,27121130,30301276,22902521,20217786,14507909,13417163,13417164,9983063,6561525,4110634,2458832,2458831,4110632,6561521,9983057,14507907,15706922,10873275,10873274,15706920,21762964,29058301,21762897,21762896,29058298,21762942,21762943,29058361,33391754,33391755,37607468,37607469,42379898,33391753,25626644,25626643,33391751,37607572,37607571,37607549,37607548,42725938,33696235,33696237,42725942,38883912,30298419,22900046,16669581,16669579,22900042,30298409,38883900,48805898,49358043,39428321,39428320,49358040,48124763,38214402,38214403,48124764,49358089,39428368,30824023,23396052,23396053,30824025,31720837,256448443,22902507,16671616,16671617,22902508,22902228,22902229,22902595,16671682,16671683,11636773,7752540,7752539,7752417,7752416,7752491,267949448,16669584,16669583,20020373,26903103,26903110,255343610,48805479,38886254,30300411,30298709,30298710,30298338,22900260,22900259,30298708,30300860,22902613,22899668,16669269,11634771,254549983,2958633,1715502,974720,548800,307198,169958,93545,93543,169953,307187,254079153,93572,51666,29103,29104,51667,93574,170004,307271,254087129,93558,254079151,307217,548818,974834,548809,254101479,307172,548757,974773,1715580,2958748,4908820,4908684,2958648,1715515,1715516,2958650,4908688,7750958,11634801,16669307,22899724,30298094,38883562,48805536,48805557,38883600,30298146,22899766,22899729,16669311,16669312,22140495,16023220,11125311,11125310,16023217,16023236,11636516,11636515,11125327,7379220,4661907,4661906,7379218,11125320,16023230,11636174,11636175,14450014,20144535,27037453,24911483,24911484,18406417,13074007,13074008,8909077,5813796,3626622,3626623,3626611,2165904,1253511,712881,402702,225448,123996,123998,225452,402708,712894,1253529,2165920,2165919,3626633,5813806,5813675,3626547,3626548,5813676,8908905,13073821,14650430,10077485,10077484,12755162,255603399,22901846,22901845,30300562,30300569,38886366,38886365,48808704,60205702,59253823,47857154,37937183,31222547,23739040,255476476,254665836,22450051,254943274,11319795,7516345,7516346,11319797,10914758,10914759,15760274,20195095,20195093,16281464,11322635,11322636,15760277,15760278,11323404,7519769,7519772,7516472,7516470,7516368,4751560,2863701,1662114,1662112,2863576,4751323,4751328,4751329,2863706,2764891,2764892,2863766,1662219,945761,533385,299168,165770,165771,299172,533395,945784,1662259,2863962,4752041,4752040,7517108,11319294,7517439,7517440,7518048,11320645,7519827,7516800,7516801,4754190,4754191,7218499,4548079,4548078,7218494,10914800,15760312,16279902,16279901,11322909,7519243,4753674,2865030,1662868,946117,946118,1662875,2865045,4752253,4753505,4753504,7519045,11322729,8082245,8082246,7217920,4547716,4547717,7217925,7218293,4547941,2733906,2733907,4547946,7218301,7517624,11321329,15760153,21828020,22450865,26622479,21827522,21827521,23377432,17107671,17107670,23377431,30805531,26622421,26622422,34611332,38389051,30805969,23377845,23377844,30353179,22951418,16714663,11672857,7781867,4932341,4932340,7781865,11672853,16714652,22951403,30353158,34112628,43198878,53710560,53350264,42885824,33842335,26022606,26022607,33842336,32384278,24763832,24763833,30819104,23390039,23390040,30819105,37271885,30267893,22871038,21103753,255808367,30492972,32152145,24568659,18128169,254966646,32152147,29804563,29804564,31553093,268385434,61736802,74518504,64323399,64323400,77487331,91418093,91270206,91270208,105492681,99301576,255557754,71765994,85356417,77963175,64768362,52848766,52848767,52848753,42444658,33451738,25680442,19057811,19057812,25680443,33451739,42444660,52848760,257290968,257290970,77963163,64768354,64768355,77963131,257290976,86851997,85517612,85517611,99463516,113473800,120266836,112299008,98316109,84406216,84406217,98316110,112299009,114585712,100553516,86591733,72993949,258184660,100553515,114585710,258251376,112299016,98316118,98316117,112299014,120284432,106083642,91888132,77963156,77963157,84341108,72993951,60258158,48865079,48865078,257576674,51169958,41015968,32225541,32225540,256504262,62816621,75776574,89553763,103663129,117812064,131635687,134115583,134115584,147327521,141808430,128456290,259490080,98974292,85049201,84341111,70782441,58064951,46692328,46692327,58064948,70782434,84341105,86334087,72736702,59999785,48608353,48608352,46692329,256341862,70782443,84341114,98248263,112226391,114573044,114573041,100542972,86582358,72985434,71477525,71477526,84341133,70782458,58064961,46692334,36808676,36808675,46692332,256883370,84341125,98248278,259324554,100543002,100543003,114573062,114573057,100542991,86582380,86582379,72993964,72993959,60258163,60258160,72993955,86582405,72985480,72985482,86582406,72993902,72993905,86591692,86591744,100553471,86591671,72993875,72993874,86591668,100553468,86591695,72993907,72993906,269876804,259518244,114585679,114585680,260123614,259514835,74413533,61633793,61633794,74413535,72162794,61633784,50151486,257659653,74413527,88020897,74565695,257862217,43355039,34255136,34255137,43355044,53879768,65947040 Dl.O(d2) = 105341684,91120575,91120576,105341686,119575697,105341688,91120578,91120577,105341680,105341683,91120575,91120576,105341686,119575698,119575688,119575689,133442619,261830682,133442623,119575691,105341681,91120574,91120573,105341680,119575690,133442620,119575696,105341684,91120575,91120576,105341686,119575698,133442617,146691833,261287958,119575696,105341684,91120575,91120576,105341686,119575698,119575688,259503162,77203462,77203463,91120576,105341686,119575697,105341688,91120578,77203464,64062346,52220884,41889605,32954295,25234500,18665569,13273846,9058651,5922630,3703413,2218113,2218114,3703403,5922621,6772374,6866022,6866024,6799064,6799065,6773950,4245942,2538587,2538586,4245940,5585832,5585833,5585825,3465489,2055042,2055043,3465491,5585830,8596620,12660861,17877361,15038408,10365925,10365924,9712582,9712581,14117257,19689589,26427070,34304730,43406048,257865729,259113287,259553950,113365484,257696270,256563460,47695649,37774255,37774256,254620776,22991661,16752985,11706688,7809284,7809285,5886892,5886894,9016561,13225048,16759202,17461537,23793440,23948350,18627597,13243271,13243270,18627594,18604903,13222972,11701263,7804858,7804859,5765530,3591182,2141108,2141109,3591185,5765537,8846545,12994309,18305898,12994285,12994286,11707406,7809931,4953749,2990270,2990269,4953745,3876121,3700395,3671245,3671243,5880556,268265916,268040936,41152797,44594236,35213545,27121136,27121135,35213544,44594233,48694270,44594226,44594227,55197580,44346900,34969309,34969310,44346904,42123934,42123902,257196563,42123901,33167540,25424901,18831657,18831658,18831690,13417170,9173710,6004338,6004337,9173708,13417167,18831686,25424953,33167585,29058305,21762901,21762900,25424907,25424936,25424935,33167574,29058368,21762954,15706912,15706913,21762956,29058370,27121163,25424956,18831688,18831687,25424954,20217763,20217764,27121130,30301276,22902521,20217786,14507909,13417163,13417164,9983063,6561525,4110634,2458832,2458831,4110632,6561521,9983057,14507907,15706922,10873275,10873274,15706920,21762964,29058301,21762897,21762896,29058298,21762942,21762943,29058361,33391754,33391755,37607468,37607469,42379898,33391753,25626644,25626643,33391751,37607572,37607571,37607549,37607548,42725938,33696235,33696237,42725942,38883912,30298419,22900046,16669581,16669579,22900042,30298409,38883900,48805898,49358043,39428321,39428320,49358040,48124763,38214402,38214403,48124764,49358089,39428368,30824023,23396052,23396053,30824025,31720837,256448443,22902507,16671616,16671617,22902508,22902228,22902229,22902595,16671682,16671683,11636773,7752540,7752539,7752417,7752416,7752491,267949448,16669584,16669583,20020373,26903103,26903110,255343610,48805479,38886254,30300411,30298709,30298710,30298338,22900260,22900259,30298708,30300860,22902613,22899668,16669269,11634771,254549983,2958633,1715502,974720,548800,307198,169958,93545,93543,169953,307187,254079153,93572,51666,29103,29104,51667,93574,170004,307271,254087129,93558,254079151,307217,548818,974834,548809,254101479,307172,548757,974773,1715580,2958748,4908820,4908684,2958648,1715515,1715516,2958650,4908688,7750958,11634801,16669307,22899724,30298094,38883562,48805536,48805557,38883600,30298146,22899766,22899729,16669311,16669312,22140495,16023220,11125311,11125310,16023217,16023236,11636516,11636515,11125327,7379220,4661907,4661906,7379218,11125320,16023230,11636174,11636175,14450014,20144535,27037453,24911483,24911484,18406417,13074007,13074008,8909077,5813796,3626622,3626623,3626611,2165904,1253511,712881,402702,225448,123996,123998,225452,402708,712894,1253529,2165920,2165919,3626633,5813806,5813675,3626547,3626548,5813676,8908905,13073821,14650430,10077485,10077484,12755162,255603399,22901846,22901845,30300562,30300569,38886366,38886365,48808704,60205702,59253823,47857154,37937183,31222547,23739040,255476476,254665836,22450051,254943274,11319795,7516345,7516346,11319797,10914758,10914759,15760274,20195095,20195093,16281464,11322635,11322636,15760277,15760278,11323404,7519769,7519772,7516472,7516470,7516368,4751560,2863701,1662114,1662112,2863576,4751323,4751328,4751329,2863706,2764891,2764892,2863766,1662219,945761,533385,299168,165770,165771,299172,533395,945784,1662259,2863962,4752041,4752040,7517108,11319294,7517439,7517440,7518048,11320645,7519827,7516800,7516801,4754190,4754191,7218499,4548079,4548078,7218494,10914800,15760312,16279902,16279901,11322909,7519243,4753674,2865030,1662868,946117,946118,1662875,2865045,4752253,4753505,4753504,7519045,11322729,8082245,8082246,7217920,4547716,4547717,7217925,7218293,4547941,2733906,2733907,4547946,7218301,7517624,11321329,15760153,21828020,22450865,26622479,21827522,21827521,23377432,17107671,17107670,23377431,30805531,26622421,26622422,34611332,38389051,30805969,23377845,23377844,30353179,22951418,16714663,11672857,7781867,4932341,4932340,7781865,11672853,16714652,22951403,30353158,34112628,43198878,53710560,53350264,42885824,33842335,26022606,26022607,33842336,32384278,24763832,24763833,30819104,23390039,23390040,30819105,37271885,30267893,22871038,21103753,255808367,30492972,32152145,24568659,18128169,254966646,32152147,29804563,29804564,31553093,268385434,61736802,74518504,64323399,64323400,77487331,91418093,91270206,91270208,105492681,99301576,255557754,71765994,85356417,77963175,64768362,52848766,52848767,52848753,42444658,33451738,25680442,19057811,19057812,25680443,33451739,42444660,52848760,257290968,257290970,77963163,64768354,64768355,77963131,257290976,86851997,85517612,85517611,99463516,113473800,120266836,112299008,98316109,84406216,84406217,98316110,112299009,114585712,100553516,86591733,72993949,258184660,100553515,114585710,258251376,112299016,98316118,98316117,112299014,120284432,106083642,91888132,77963156,77963157,84341108,72993951,60258158,48865079,48865078,257576674,51169958,41015968,32225541,32225540,256504262,62816621,75776574,89553763,103663129,117812064,131635687,134115583,134115584,147327521,141808430,128456290,259490080,98974292,85049201,84341111,70782441,58064951,46692328,46692327,58064948,70782434,84341105,86334087,72736702,59999785,48608353,48608352,46692329,256341862,70782443,84341114,98248263,112226391,114573044,114573041,100542972,86582358,72985434,71477525,71477526,84341133,70782458,58064961,46692334,36808676,36808675,46692332,256883370,84341125,98248278,259324554,100543002,100543003,114573062,114573057,100542991,86582380,86582379,72993964,72993959,60258163,60258160,72993955,86582405,72985480,72985482,86582406,72993902,72993905,86591692,86591744,100553471,86591671,72993875,72993874,86591668,100553468,86591695,72993907,72993906,269876804,259518244,114585679,114585680,260123614,259514835,74413533,61633793,61633794,74413535,72162794,61633784,50151486,257659653,74413527,88020897,74565695,257862217,43355039,34255136,34255137,43355044,53879768,65947040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8113419, s2 = 14290382, dlinesl.size( ) = 2 s1 = 8113419, s2 = 14290382, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8113419, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 9368272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9086630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9086630, s2 = 11007591, int(edited[s2]) = 0 s1 = 9086630, s2 = 11007591, d1 = 0, d2 = 14 Dl.O(d1) = 8492312,8496987,8496986,5499982,3389638,3389637,254606605,267774333,1182377,2060357,3473294,5596679,8611114,8509152,8509153,268025473,6014586,6014585,6013582,3761294,3420954,2020366,2020368,3383415,3383414,3423665,3395557,3395559,3412207,2254649,2254648,3763289,5522705,254607321,254276649,1144065,641727,641726,1144063,2001534,3395571,5506853,5492990,3383277,1992503,1992502,3383276,5492987,5535945,3762018,2253729,2253728,3762015,3419616,2019335,254415285 Dl.O(d2) = 32821206,41742350,42274836,33293552,25532097,18921412,13489118,13489119,11850566,7920451,7920450,11850563,14397437,9903142,9903143,14397439,9903853,9903854,6509844,6509843,9904477,14399571,20081034,14397852,14397850,16453648,20083226,14399440,9904389,9904390,11127211,16026132,14397575,14397576,20080614,16456439,16456438,22643428,22643429,28716176,28716173,22643280,22293779,20081814,20081811,26966728,21474907,19440365,13910911,13910910,14397917,14397919,20081139,16453356,16453355,22643328,22644578,20083571,20083572,26968988,26912991,20028539,14345543,9855939,9855938,14345537,20028533,14399555,14399554,20083385,22643769,16453662,11464083,11464082,16453655,20083219,20083221,22646252,22646251,17456101,17456098,16382675,16382674,16453455,11463936,7625250,7625249,11463930,16453441,22643451,30015367,30015368,31110685,23624368,17308891,17308892,256503497,48503731,258157671,257414506,55475065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9086630, s2 = 11007591, dlinesl.size( ) = 2 s1 = 9086630, s2 = 11007591, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9086630, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 7154913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7154913, s2 = 4784192, int(edited[s2]) = 0 s1 = 7154913, s2 = 4784192, d1 = 83, d2 = 78 Dl.O(d1) = 263314422,255646477,254640513,3699619,2215558,1285687,1285689,1119143,627916,348785,191207,191204,310565,171755,171757,310614,555224,733107,417208,417205,733146,1282839,1282855,1282854,1282796,1282793,2206437,2206435,3685958,254201374,254436852,255241906,257760130 Dl.O(d2) = 263234315,195083685,195083689,201998958,201998959,273829294,201998954,195083679,195083678,195083673,195083672,201998944,263801516,262086248,167223472,167223474,177720979,263801518,195083688,201998959,273829294,201998954,195083679,195083678,195083673,195083672,201998944,200891843,193808791,185549469,262708816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7154913, s2 = 4784192, dlinesl.size( ) = 30 s1 = 62929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6454427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9661429, s2 = 14194344, int(edited[s2]) = 0 s1 = 9661429, s2 = 14194344, d1 = 45, d2 = 2 Dl.O(d1) = 441322,777639,1364294,2354476,3932914,254658225,3818777,3818775,3818778,6103249,9316992,13606457,19059652,255937592,58173599,70887818 Dl.O(d2) = 1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170542,6634467,10103257,14690065,20471941,27459514,35660105,35710970,35710973,45257756,56071322,45643771,35974066,35974062,36220643,36220640,45019147,45019023,36285112,27871481,20739964,20739961,27871372,27871373,36284915,44870482,55799932,68227539,77627651,70195065,257380445,256266105,20784417,27937748,36382106,27965993,20803516,254995620,36424564,269314664,255835960,21931812,21931811,19299637,15445184,15445182,15845050,11276494,8970495,8970492,13160438,13160437,13160483,15661707,10841916,7167378,7167379,9463093,9463094,13799581,19300247,24348033,25878785,21679118,15639854,10822821,8931227,5829347,3637423,3637422,5829343,8931221,7281763,7281762,6161707,6161708,9404805,13728889,15346874,14416147,14416146,20106178,24521640,255656120,9462877,6204667,3883562,254209077,769231,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,3859204,6167716,6167773,9413711,13740099,9552793,9552792,13368057,9136145,5978575,3738648,3738649,5978577,9136149,13368062,18772140,25354358,29295703,27029934,27029935,254690064,14416936,9915478,6516230,4082936,2442964,2442965,2443028,1412690,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002610,11001557,11001555,254674406,9134148,254646921,5977805,3738486,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,254149471,2306790,3850120,6153318,254939839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661429, s2 = 14194344, dlinesl.size( ) = 12 s1 = 1322762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7823277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 257638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 41466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 41466, s2 = 8260253, int(edited[s2]) = 0 s1 = 41466, s2 = 8260253, d1 = 0, d2 = 90 Dl.O(d1) = 790720 Dl.O(d2) = 21053921,28254621,28126532,20948755,20948756,28126534,21208225,21208226,28432267,36930947,33963734,33963733,33455303,257218245,33583886,256669587,256405262,28830988,28830987,37370648,37370647,37370648,37370647,37370648,47279959,256405262,28830988,21560349,15539344,15539345,21560351,28830992,37370650,31595517,24092029,17734328,12547611,12547610,17734326,24092022,31595511,40279733,50300000,61779287,74562682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 41466, s2 = 8260253, dlinesl.size( ) = 74 s1 = 8137848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8137848, s2 = 8521542, int(edited[s2]) = 0 s1 = 8137848, s2 = 8521542, d1 = 6, d2 = 6 Dl.O(d1) = 61384104,61384105,74164717,84278068,84278067,98174308,112137015,112137014,99753799,86687555,73083460,257852300,48946926,59128027,59128028,71866431,85451395,85799803,72205692,59468002,48077292,48077293,59468004,72205699,72205753,259992259,99753831,101742335,260070262,107629664,99753782,99753781,113768162,115788068,127636713,113768191,113768192,114705652,128602402,128602415,122884893,271144081,80276848,80276847,94333220,101742347,101742346,94333219,80276845,66847242,66847241,80276842,94333213,98502775,98502776,271768055,258469892,85799848,86687505,99753843,99753826,85799845,85799846,94333229,108620497,108620508,94333237,94333238,100660274,98502877,84577409,84577410,86687518,86687517,98502864,84577400,84577401,81097112,67631546,67631545,81097111,92369505,92369504,98502794,112498466,98502853,84577391,71012577,58297182,58297183,259294957,112498508,112498496,98502818,98502816,84577357,71012516,58297110,46931078,46931077,58297109,259294955,269777907,58297246,71012650,84577447,85589575,258124830,72002662,59266499,268942192,37052811,28552704,28552705,37052813,46931093,58297131,47549141,47549140,47870915,59266466,72002632,72230088,59493965,48105368,38193722,29626799,22275187,22275186,29626798,38193721,48105364,59493942,48105388,38193739,29626811,29626801,22275189,16132688,255461031,29626803,38193728,47091898,37196158,28673825,28673824,37196155,47091894,47870904,47870905,59266456,67578149,55235814,55235815,59494037,72230146,59494040,48105436,48105437,59494043,72230054,59493926,48105323,38193698,29626784,29626786,38193700,257288398,48105400,257518281,257886578,67578146,55235812,55235813,67578147,59493935,58469745,47091919,37196174,28673838,25038644,18504749,13147125,13147124,18504746,22262556,16122238,16122237,18519596,15417201,10657319,10657318,7037686,4428228,4428229,5662285,5662284,8699067,12795174,18049128,24431431,24469069,25842236,19188404,13704041,9386184,9386183,8699109,5662315,3521635,3521636,5662317,8699110,255213767,24469187,32031462,30420650,23015560,16775604,11728953,7830456,4970464,4970463,7830455,11728952,16775603,23015559,30420648,39009965,48933445,268419426,48933687,57550535,46227913,36391689,27943715,27943714,36391686,46227909,57550528,70223461,259202372,61020121,49578690,45072861,35579233,27403354,27403357,27403547,20432831,20432833,27403583,34769572,26816651,19953511,19953513,19955005,14289169,9832495,6458839,4048007,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34449863,34449864,43488485,43642985,43654800,54307179,49544937,39584410,39584407,49544899,49544901,60956638,60956642,66467503,66467500,54549293,43815189,43566823,43566828,44018526,54179082,66332051,55129281,44287282,44287283,55129284,256866526,54644214,43901060,34628630,255728335,19826982,26638863,34628635,40887517,39955698,31280896,23794902,23794903,31280898,39955702,34628642,26638870,19826986,14203055,9763742,6419576,4027382,2413372,1396922,794832,254095355,140279,76747,76748,76976,76977,140638,267743235,796070,267782449,4031741,6426197,9496218,9496219,13843748,14217055,14217054,19355988,254946841,6228300,3899429,2335452,1353660,772121,772123,254209581,3899434,6228312,9496232,13843767,19355982,13843743,9496212,9496211,13843741,19355980,26033812,33855283,42900406,53366524,258454061,58888085,47508588,47508589,58888089,71608094,58888126,58888125,71608117,58888105,47508602,47508601,52487817,52487816,64358720,77524356,91453790,98781400,98781401,258794540,113015680,108690196,94402989,80348636,80348637,94402990,108690197,99027978,85103534,258078695,37508394,28965034,21683086,21683084,28965031,257467991,71532355,85103524,259073374,89786089,76008776,76008775,89786087,103887587,271489015,103887614,258444978,258968791,103887615,113791233,127659231,141007097,141007099,260593907,113791240,113791199,99777075,85823304,85823305,99777077,99777059,85823282,72230248,72230249,85823284,85823295,72230259,72230258,72230283,85823322,99777079,85823307,72230267,59494162,48105555,38193896,29626946,22275294,16132763,16132764,22275296,29626950,38193904,48105568,59494180,72230278,72230276,85823314,85823329,85823328,86618606,73018703,60281953,48888437,254426236,22980396,16743294,16743295,254287076,15438767,10673381,7049679,7049678,10673380,15438765,21432559,28681917,28681932,37205521,47102057,58480469,71202541,84771897,98700610,103691277,89576145,75794353,75794352,258203932,97943399,84070499,84070498,90681722,86917382 Dl.O(d2) = 61384104,61384105,74164717,84278068,84278067,98174308,112137015,112137014,99753799,86687555,73083460,257852300,48946926,59128027,59128028,71866431,85451395,85799803,72205692,59468002,48077292,48077293,59468004,72205699,72205753,259992259,99753831,101742335,260070262,107629664,99753782,99753781,113768162,115788068,127636713,113768191,113768192,114705652,128602402,128602415,122884893,271144081,80276848,80276847,94333220,101742347,101742346,94333219,80276845,66847242,66847241,80276842,94333213,98502775,98502776,271768055,258469892,85799848,86687505,99753843,99753826,85799845,85799846,94333229,108620497,108620508,94333237,94333238,100660274,98502877,84577409,84577410,86687518,86687517,98502864,84577400,84577401,81097112,67631546,67631545,81097111,92369505,92369504,98502794,112498466,98502853,84577391,71012577,58297182,58297183,259294957,112498508,112498496,98502818,98502816,84577357,71012516,58297110,46931078,46931077,58297109,259294955,269777907,58297246,71012650,84577447,85589575,258124830,72002662,59266499,268942192,37052811,28552704,28552705,37052813,46931093,58297131,47549141,47549140,47870915,59266466,72002632,72230088,59493965,48105368,38193722,29626799,22275187,22275186,29626798,38193721,48105364,59493942,48105388,38193739,29626811,29626801,22275189,16132688,255461031,29626803,38193728,47091898,37196158,28673825,28673824,37196155,47091894,47870904,47870905,59266456,67578149,55235814,55235815,59494037,72230146,59494040,48105436,48105437,59494043,72230054,59493926,48105323,38193698,29626784,29626786,38193700,257288398,48105400,257518281,257886578,67578146,55235812,55235813,67578147,59493935,58469745,47091919,37196174,28673838,25038644,18504749,13147125,13147124,18504746,22262556,16122238,16122237,18519596,15417201,10657319,10657318,7037686,4428228,4428229,5662285,5662284,8699067,12795174,18049128,24431431,24469069,25842236,19188404,13704041,9386184,9386183,8699109,5662315,3521635,3521636,5662317,8699110,255213767,24469187,32031462,30420650,23015560,16775604,11728953,7830456,4970464,4970463,7830455,11728952,16775603,23015559,30420648,39009965,48933445,268419426,48933687,57550535,46227913,36391689,27943715,27943714,36391686,46227909,57550528,70223461,259202372,61020121,49578690,45072861,35579233,27403354,27403357,27403547,20432831,20432833,27403583,34769572,26816651,19953511,19953513,19955005,14289169,9832495,6458839,4048007,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34449863,34449864,43488485,43642985,43654800,54307179,49544937,39584410,39584407,49544899,49544901,60956638,60956642,66467503,66467500,54549293,43815189,43566823,43566828,44018526,54179082,66332051,55129281,44287282,44287283,55129284,256866526,54644214,43901060,34628630,255728335,19826982,26638863,34628635,40887517,39955698,31280896,23794902,23794903,31280898,39955702,34628642,26638870,19826986,14203055,9763742,6419576,4027382,2413372,1396922,794832,254095355,140279,76747,76748,76976,76977,140638,267743235,796070,267782449,4031741,6426197,9496218,9496219,13843748,14217055,14217054,19355988,254946841,6228300,3899429,2335452,1353660,772121,772123,254209581,3899434,6228312,9496232,13843767,19355982,13843743,9496212,9496211,13843741,19355980,26033812,33855283,42900406,53366524,258454061,58888085,47508588,47508589,58888089,71608094,58888126,58888125,71608117,58888105,47508602,47508601,52487817,52487816,64358720,77524356,91453790,98781400,98781401,258794540,113015680,108690196,94402989,80348636,80348637,94402990,108690197,99027978,85103534,258078695,37508394,28965034,21683086,21683084,28965031,257467991,71532355,85103524,259073374,89786089,76008776,76008775,89786087,103887587,271489015,103887614,258444978,258968791,103887615,113791233,127659231,141007097,141007099,260593907,113791240,113791199,99777075,85823304,85823305,99777077,99777059,85823282,72230248,72230249,85823284,85823295,72230259,72230258,72230283,85823322,99777079,85823307,72230267,59494162,48105555,38193896,29626946,22275294,16132763,16132764,22275296,29626950,38193904,48105568,59494180,72230278,72230276,85823314,85823329,85823328,86618606,73018703,60281953,48888437,254426236,22980396,16743294,16743295,254287076,15438767,10673381,7049679,7049678,10673380,15438765,21432559,28681917,28681932,37205521,47102057,58480469,71202541,84771897,98700610,103691277,89576145,75794353,75794352,258203932,97943399,84070499,84070498,90681722,86917382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8137848, s2 = 8521542, dlinesl.size( ) = 2 s1 = 8137848, s2 = 8521542, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8137848, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6448280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14884500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14884500, s2 = 9714609, int(edited[s2]) = 0 s1 = 14884500, s2 = 9714609, d1 = 25, d2 = 31 Dl.O(d1) = 100652333,99363138,85420554,71832866,59092956,59092957,59092958,48936812,39013639,37773210,29211333,29211332,30424823,23019959,16779464,11731969,11731970,16779466,16779468,18857663,18857664,25456793,33203872,39879153,46962773,40950732,32171203,31197880,23709151,17385751,17385749,21162568,255434612,21897244,25900219,25900218,33706456,39013636,39013637,48936807,39013634,39013635,48936808,60334579,73074931,86679498,100652324,272554202,128594845,130168980,130168981,143499732,143141235,129809792,129809791,143141234,155694484,155694483,261638906,129809790,115910090,101864136,101864135,258660578,74287954,87890621,92505709,78465916,65181879,53196851,53196850,65181876,78465915,74607231,74607230,88237495,271416191,106744605,106744604,92439684,78403543,78403542,92439682,106744601,106744602,109459394,120997071,259789883,81147199,67681125,55341451,257913061,44495266,44495267,55341450,67681124 Dl.O(d2) = 114828208,114828209,128727942,142086471,142086468,128727939,128727938,139934795,139709572,260547440,126334847,260474796,100507091,258627906,85581026,71994274,59257676,47861434,47861435,59257679,71994279,71994280,71994275,59746454,59746455,71994276,71994277,85581029,85581032,99527977,99527971,99527970,99527978,99527979,113539382,127409680,126720328,126720318,112869139,112869140,98882112,84956832,71381575,71381573,71381552,58645614,58645613,71381550,71381544,71381542,71381543,71381572,84956830,84956801,71381554,58645644,47252791,37342924,37342925,47252794,58645594,47252749,47252750,58645595,47252821,37342941,28804794,268617065,47252819,256876703,255843399,15522641,10735660,7093189,7093188,7093194,10735669,15522654,19850170,14526986,9995602,9995603,14526988,20244861,27156554,35255587,28804775,28804774,37342912,47252777,47252772,47252771,58645627,49755974,49755975,256335386,59977020,268617070,38669258,48585322,49079391,49079392,60482952,49326103,49326102,60728196,58645628,47252773,47252774,255041338,254738222,267884102,49890345,47098793,37202614,28679522,21430681,15437286,15437287,21430684,28679527,37202621,47098802,49890341,39868194,39868193,49890339,61370901,49890332,39868190,31185778,31185779,39868192,49890337,58102841,46731031,39737182,39737181,47252840,58645682,61959042,61959043,58645706,47252859,256335366,22297233,22297232,29649127,38215617,39868329,39868330,48147820,48147822,39868027,39868026,48125897,38215614,37437929,37437930,46714756,44641351,35256937,27157949,20246289,20246288,27157947,256758827,48660539,48660540,51114758,46731029,36848050,28350660,28350659,36848048,37437935,37437936,33012540,33012539,28350656,21137174,15186955,10475600,10475599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14884500, s2 = 9714609, dlinesl.size( ) = 2 s1 = 14884500, s2 = 9714609, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14884500, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 7960084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7960084, s2 = 11661235, int(edited[s2]) = 0 s1 = 7960084, s2 = 11661235, d1 = 141, d2 = 167 Dl.O(d1) = 20881617,14979350,254707901 Dl.O(d2) = 247804530,247810442,267699831,247834843,247841903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7960084, s2 = 11661235, dlinesl.size( ) = 18 s1 = 6433099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8104380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 42890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13733785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13733785, s2 = 14015898, int(edited[s2]) = 0 s1 = 13733785, s2 = 14015898, d1 = 5, d2 = 7 Dl.O(d1) = 165840638,176495995,179299759,169014916,157553993,145120941,131863490,118038304,103896022,89794935,76018171,63035345,269109584,268509338,24738475,18265568,255623589,32354346,41169288,48772799,40502698,40502697,42258380,33278695,25518513,18908809,18908808,25518507,33278687,31059134,31059132,39737249,47037020,58409607,61235041,256298330,74015496,74015497,72033568,60723567,49321323,39393215,39393217,39392877,39392875,42882045,42882044,53346312,65348595,78651804,72427749,72427748,60723476,49321239,49321241,53758339,60723190,49320921,49320920,60723187,64189454,61342881,49859426,39835776,39835775,49859419,61342871,52339331,52339330,49756009,49756008,256633320,73471446,60723243,49320966,49320965,60723153,49320886,49320887,49320931,49320930,60723208,73471416,60723238,60723237,60723198,49320927,49320929,60723204,60082212,48685931,38764173,30180794,30180795,38764174,48685932,49321329,49321330,60723571,72819616,72819619,73471739,60723576,49321336,39393241,30790611,23364674,23364675,30790615,39393247,49321357,60723589,257187904,47509183,256354003,21761522,17095392,12008665,12008664,17095390,23364412,30790216,39392808,256118228,49320941,60723214,60723456,60723455,73471633,73471751,60723601,49321376,39393268,255980615,23364685,30790631,39393266,49321372,60723599,73471260,60722971,49320660,49320661,60722974,49321391,49321392,39393290,39393289,39392744,39392745,49320851,60723119,49321350,39393234,30790605,30790037,23364288,17095292,12008610,12008608,17095290,12008679,8065831,8065829,12008671,17095405,23364382,17095369,12008654,8065823,8065824,12008660,268245015,268427311,30772317,23349104,23349105,256481247,30790676,23364729,23364728,30790674,39393322,39393173,30790550,23364642,23364643,30790552,257027699,30790266,23364450,23364449,17095530,255532935,30790494,39393117,49321219,60723460,258016554,36697492,28206750,21014082,15092744,10409359,6861632,4306296,2574829,1482799,838450,472603,265573,265574,472605,838454,1482804,2574836,4305938,4305939,6861045,4306212,4305074,2574134,1482348,1482346,2574130,4303770,6857771,6859573,6859572,6857744,6857745,10403337,6857765,6857764,10403348,6858862,6858854,4304512,2574148,2574147,4305082,4305591,4305590,6860482,4306034,4306035,4305602,2574466,2574467,4305606,6860521,4305622,2574476,1482616,838350,472554,265553,147010,147008,265546,472547,838336,1482582,2574432,2574653,2574654,4305944,4305078,2574141,1482358,838152,838150,1482223,1482222,2573975,4304836,4305067,4303754,4303755,2573164,1481530,1481531,2527247,4226688,2573715,1482052,1482053,1482361,2574155,4305094,4305586,6860515,10407570,10407572,6860533,4305598,4305597,6860531,10407591,6860543,4305613,2574471,1482611,838346,472551,472540,472541,838328,838334,1482592,2574425,4304873,2574004,2574003,4304868,2574170,1482371,838163,472419,472418,838156,1482364,2574160,4305103,4303764,2573157,2573158,2573154,1481525,1481524,2573151,4303745,4304517,4304519,2574151,2574150,4305086,6859587,10405301,10405299,6860499,6860500,10407575,6860527,6860526,10405283,10405860,10407578,6860508,4305582,2574454,1482601,838341,838322,838323,1482577,1482587,2574436,4305566,6858806,4304463,4304462,6745507,4304597,2573757,1482342,838145,838144,1482071,2573746,4304580,6858957,6857756,4303760,4303759,4303743,2573145,2573146,2573955,4304815,6858857,6858858,10405024,10405168,10405167,10405176,6859101,6859100,4305569,4305570,6860494,10405287,6859070,6859071,4305097,4304862,4304863,6859273,4305578,2574450,1482596,1482595,2574443,2573994,2573978,2573979,4304842,4304468,2573665,2573666,4304473,6858815,4304594,2573764,1482080,837968,837967,1482076,2573754,4304588,6858963,6859243,4304825,2573963,2573965,2573957,2573956,4304820,6859236,10405448,10405173,6858973,4304600,4304601,4304696,2573840,2573841,4304703,6859108,6860341,6858954,4305436,4305435,6859011,6859010,6859077,4304663,2573799,2573800,2573823,2573824,1482236,838064,838063,1482230,2573986,4304855,6859267,6859314,6859391,4304956,2574074,1482297,1482067,1482068,2573744,4304577,6858950,6860373,6859171,6859172,6859239 Dl.O(d2) = 84229231,84229219,84229218,70675732,70675733,84229217,70675708,57956909,46580537,36694260,36694261,36694264,254716200,57956916,46580554,36694274,36694276,46580557,57956937,57956954,46580567,36694282,36694283,46580569,57956956,255011492,46580550,57956927,70675713,57956919,46580544,36694267,36694268,46580546,57956922,255373836,46580537,36694260,36694261,36694264,254716200,57956916,46580554,36694274,36694275,46580556,57956931,46580552,46580551,57956929,46580565,36694280,28204043,28204042,36694277,46580559,57956934,46580554,36694274,36694273,28204040,21012030,21012029,28204038,36694268,46580546,57956922,255373836,46580537,36694260,36694261,36694264,254716200,57956916,46580554,36694274,36694275,46580556,57956931,46580552,46580551,57956929,46580565,36694280,28204043,28204042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 72799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8235346, s2 = 7945943, int(edited[s2]) = 0 s1 = 8235346, s2 = 7945943, d1 = 11, d2 = 13 Dl.O(d1) = 256034646,17369014,12236933,8262844,8262843,12236931,12237624,8263381,5331338,3277042,1927540,1101329,1101328,1927538,3277037,5331328,8263367,6750528,6750526,10272154,7893513,7893512,5326116,3287880,3287879,5332116,8264459,12238847,255553455,12570830,12570829,16166884,11234349,11234348,11236180,7457205,7457208,11234337,8509234,5509719,5509718,8509229,11027979,15906470,11587522,7713071,7713070,8518822,254413305,2007499,1147804,643926,643927,1147807,2007504,3403954,5517102,5545676,8547273,8543552,5541331,3426627,3426628,3439852,3374123,3374124,3403630,2007244,1147604,643819,357342,196130,107017,107018,196132,358142,645416,1150526,2011784,3409565,3450443,2043972,1171758,1171759,1171774,1171773,2003394,1145230,642433,642435,1145238,2003409,3398112,5509680,6042803,3780611,2264521,2264519,3780610,5553200,3437651,2033652,1164786,1164784,2033649,3437649,3377265,1987946,1135796,1135797,651670,361422,361423,651667,651666,1161318,2028348,3398188,2003452,2003453,3398190,5509787,269411646,24095447,256500509,48687807,256455806,47403308,51304925,59871595,255511236,29995864,22627239,22627240,29995867,29995858,23587829,23587830,31071380,36649034,255127622,57872038,57882944,57882943,70584338,71589820,58867083,58867082,57882838,57882839,256999938,36659293,28182722,20999856,15084201,10404215,10404214,15084198,15084203,255800779,28182652,28182653,36649039,36649038,28182632,20999798,20999799,28182634,36659182,46526763,46526745,46526746,36659224,36659223,46526813,57882899,58127603,58127604,70584251,84121091,70804364,70804363,72911862,60175008,48780513,48780515,60175009,72911863,86508286,97996648,84399494,70842116,70842115,84399493,98308827,86508268,257446718,81544983,68058146,68058147,58087554,46715890,46715888,58087552,70804352,74146170,84778166,72911855,60175004,257446732,86508270,72911845,60174991,60174992,72911847,84660619,71097768,71097769,84660621,74238490,61459271,49981179,39964647,39964646,49981176,258057440,87843743,86508259,72911832,60174982,48780501,48780500,60174980,72911831,84660614,84660616,95575505,109775636,98468359,98468360,98706119,98584087,84660599,71097733,71097734,59159446,47760830,47760829,57621609,57621608,49981155,39964635,39964636,49981157,61459244,49981160,47010122,37123208,256318126,21376869,28612387,37123206,47010120,58381192,71097740,58381226,47010168,47010167,51737167,41468140,41468141,51737169,46514151,46280058,46280056,57624723,61459193,49981123,39964613,39964612,256484500,58381159,47010092,37123187,31289519,23803100,17470010,12316690,12316688,17470004,23803086,31289494,39964617,37123233,28612400,21376877,15395235,15395236,21376878,28612402,37123237,47010156,46280060,46280061,57624727,58381212,54682613,43939948,34665819,34665818,43939947,54682612,66938975,66938977,74238443,61459211,61459212,74238445,86870231,100851194,113823405,108705166,94418104,94418105,97982747,87843704,74238461,61459221,61459222,74238463,87843727,101818135,87843722,87843723,80666079,80666078,80364453,67632410,67632411,60713403,54682602,54682603,54682590,54682589,66938957,80364446,94418099,81097959,67632407,55294473,257909039,80364491,80364479,66938987,54682630,54682629,49311367,39383604,39383605,256287682,20988957,15075896,10398514,6854691,4301855,2572009,1480753,836961,471628,264960,146637,146636,264959,149640,82316 Dl.O(d2) = 2583648,254328806,4315412,4323399,4323398,4340044,6867135,4323591,2586670,1491114,844296,476435,254084635,148441,267965,267966,476366,844167,1490916,2586445,2572136,254156275,837056,1480867,2572133,2591032,2592078,254328729,4331554,6899526,10421798,6882450,6882451,4340156,4340155,6870553,6871120,4313008,4313007,6871067,4312960,4311970,2578544,2578543,4312085,6870151,4331600,4331601,6870193,10421214,6870540,4312456,2578829,1485419,840269,840268,1485416,840353,473861,266337,147473,81083,81084,147478,266354,266308,266307,473799,840215,1485325,1486298,1486296,2580190,4313718,2579752,2579753,4313692,6872072,10420979,10420980,6869986,4312833,4311423,4311424,6869288,6869355,10414675,254489385,2576251,1483811,839220,839218,1483807,2576243,4308492,254489963,4313675,2597859,2597857,4339400,6909288,255382537,255631808,28361025,21145590,21145589,21145591,28361028,36859142,38994698,30405374,23000260,23000259,30405371,38994694,48918618,60317210,73058236,64692711,52778675,42379920,33391777,25626673,19011816,19011818,19107272,19107270,17865558,12651633,8589977,8589978,9290032,9646156,6342262,6073938,3800413,3800414,6073941,9272710,254930949,254459196,15507551,21518624,28781890,37317792,255706758,25642309,25642308,19118556,19118554,19064965,19064966,18998822,13624010,254659191,6110945,9329065,13624005,13587861,13587860,19035825,19128201,19081257,13622835,13622833,10799289,7135315,4492192,4492191,7135312,10799285,15609273,19114476,19114008,19114007,17823036,12619153,12619152,16384864,11403584,11403585,16384867,13646433,9344486,9344489,6123604,6123603,8565501,5561745,3473845,3473846,5597346,8611975,12680110,13624285,13624287,10402218,10402217,15081031,10484557,10484558,13589864,13588677,9304435,6094867,3813308,2284254,2284255,3813314,6094895,9304479,6130288,6130287,9358879,13666286,12649496,8588529,8588530,12649498,17862660,24237663,19072949,255681159,31639514,24132297,24132298,256544023,34292270,26416164,25620360,19679931,19679930,26416181,34292273,31754009,24242250,24242249,25625173,19107267,19107268,22433252,22433253,255912589,38371975,48282953,38613572,37608184,256658023,268300593,13567407,13567406,19009794,25624438,33389986,27213724,20285294,254985135,10015261,14555305,20285291,27213718,33428652,32840332,25135144,25135143,25704309,25704310,33427151,31056458,23572777,20284668,19009962,13567551,9289333,6085278,3807608,2280826,2280825,3807604,6085262,9289300,13442558,14397099,9902910,6508924,6508925,9902914,14397105,20079931,22197367,25714045,25591642,21763484,21763483,29058926,37608020,31593475,27213697,27213696,27213695,255168788,24251950,24251951,31763757,31763764,31763763,40458163,31763748,24251943,17874380,12657734,255592579,31763741,31168237,31168236,39850248,49872481,48599835,38683725,30107196,30107195,38683723,48599830,59991762,72729237,61354166,61354165,71429870,58697479,47307326,47307325,40307619,40307618,47307328,37398040,28857194,21584208,15559790,15559789,21584207,20974997,20974996,28153583,24114127,24114128,31619344,40307628,50333677,50333673,40307623,40307622,50333671,61817209,74609408,86225620,86225704,86225703,100191161,114224139,102337997,88341571,88341572,86225697,72625573,59885951,48493489,48493490,59885954,72625566,59885960,48493495,48493496,257547921,48493473,59885926,72625546,59885944,48493483,38579558,30008191,30008190,38579556,48493480,48493464,38579546,38579545,48493462,59885909,59885903,48493459,48493460,59885905,72625515,72625521,59885955,59885933,59885932,72625520,86225641,100191115,114224101,100191107,86225627,86225628,100191109,100191110,102337993,102337994,100440434,86483401,86483400,85713685,85713684,86225637,72625517,72625516,60152144,60152145,72128908,59398139,48010003,48010002,59398137,64402359,64087772,52240325,52240324,59161694,47763037,47763038,52528853,42170798,33211041,33211042,268389594,61920424,74713656,71899762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8235346, s2 = 7945943, dlinesl.size( ) = 14 s1 = 73097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7861669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7816275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6465363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6465363, s2 = 9817158, int(edited[s2]) = 0 s1 = 6465363, s2 = 9817158, d1 = 35, d2 = 18 Dl.O(d1) = 254814647,15456698,10687135,7060052,254335145,1546515,878992,878993,1546517,2670152,254501541,10687150,15456724,15456786,10687194,7060090,4444905,2670166,2670168,4444910,7060099,10687207,7060240,4445000,2670221,1546551,254225907,4444995,7060232,7060259,10687460,15457148,10687485,10687484,15457188,21456348,28711523,37241444,28710660,21455636,15456638,10687088,7060023,4444865,2670141,2670143,4444868,7060032,10687092,10687093,15456645,10687310,7060167,7060134,4444933,4444934,2670194,1546533,879002,495798,495799,879006,1546543,2670214,2670173,2670171,2670235,1546560,879012,879011,1546556,2670229,4444897,2670160,2670159,4444895,7060080,7573832,7573833,10687349,15457004,15457130,21456266,255948580,17242310,17242309,15457221,15457220,21455649,15456652,10687098,7060028,7060027,10687096,15456650,21455644,28710671,21455960,15456923,10687289,10687288,10687429,15457097,19797061,14180507,9748515,6410049,6410051,9748519,14180518,19797082,26603571,24121931,24121932,24122624,17760884,12567996,12567997,17760889,24122627,31627962,40315142,256377551,22041471,15938825,11060147,11060148,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,22043887,255337522,43858280,54601446,49222586,39295567,39295568,49222588,55226981,44376112,37480662,28938667,21659895,15623819,15623822,21659904,17023216,11938256,7989778,5085306,3084861,1800708,1800709,3084864,5085313,7989792,11938295,17023284,23282491,20335345,20335344,17177931,12078149,12078147,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939275,4878104,4877597,2939011,1704286,968749,968748,1704281,2939002,4877574,7706904,11578528,16601581,11796941,7878242,7878241,7142894,6114130,3825511,3825513,4988551,7859887,11772580,11149844,7395289,7395285,11149832,16057998,22184956,22069172,16602859,16602863,22823198,256984225,40351132,37480470,37480469,43858349,255444216,19794885,14178881,14178882,9747444,6409392,4021015,2409432,1394180,792849,792850,1394183,2409438,4021024,6409416,9747496,14179011 Dl.O(d2) = 20246315,19797146,15199668,10483549,10483548,7142984,4497493,2702391,2702390,4497488,4878044,4878073,2939258,1704408,968812,545641,545640,968810,1704406,1704313,968763,545620,305620,305619,545614,968747,1704279,2336386,2336391,3901043,6230858,7278768,10995432,15864060,21955743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6465363, s2 = 9817158, dlinesl.size( ) = 2 s1 = 6465363, s2 = 9817158, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6465363, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 408361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7843022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162334, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 75629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 75629, s2 = 11155527, int(edited[s2]) = 0 s1 = 75629, s2 = 11155527, d1 = 25, d2 = 27 Dl.O(d1) = 1555775,884567,884568,1555778,2685655,4469963,7099315,7099346,10745391,15537003,255844835,28956250,21675204,255048181,7151351,4503490,2706332,2706333,4503492,7151353,10820918,15637003,15637004,21675205,268451134,24124963,17762590,17762588,24124960,31630967,40319202,37696619,29135886,255435608,47619936,59023482,50400836,40365585,37137627,28624842 Dl.O(d2) = 23761118,17433407,17433408,22641687,30013507,30094075,30094076,38585757,38585756,48500646,59894347,59894346,59894638,48500640,48500641,59894639,257394036,48500046,38585214,30012963,30012964,30012967,38585219,48500053,59894083,72367374,256321058,38585825,30013487,22641671,22641673,30013491,38585829,48500049,49854575,61337351,59894866,48500948,48500947,48501993,48501992,59895764,72637614,72636290,59894076,59894075,52566366,42205875,42205874,52566363,61787094,61259937,49781023,49781022,61259935,49939163,39921381,31245684,255557841,12287730,8298394,5353426,3290231,1934885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 75629, s2 = 11155527, dlinesl.size( ) = 2 s1 = 75629, s2 = 11155527, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 75629, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 76421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8023510, s2 = 6806056, int(edited[s2]) = 0 s1 = 8023510, s2 = 6806056, d1 = 74, d2 = 67 Dl.O(d1) = 254512257,2733912,4547955,4547921,4547895,2733881,1584248,1584249,2734067,254512285,4752838,2864425,1662521,945937,900574,900572 Dl.O(d2) = 258713757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8023510, s2 = 6806056, dlinesl.size( ) = 20 s1 = 194576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 194576, s2 = 6795847, int(edited[s2]) = 0 s1 = 194576, s2 = 6795847, d1 = 4, d2 = 16 Dl.O(d1) = 4602832,254232702,2603212,254099290,480920,270670,270668,480912,289240,289239,515390,515898,533318,945632,1502147,1502146,1081589,913169,515213,515214,607527,1081708,913706,913707,913693,913692,913950,559497 Dl.O(d2) = 258618364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 194576, s2 = 6795847, dlinesl.size( ) = 2 s1 = 194576, s2 = 6795847, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 194576, Dl.E( ) = 82, 4.6e-05 seconds used appending s1 = 626315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14856266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14856266, s2 = 7804599, int(edited[s2]) = 0 s1 = 14856266, s2 = 7804599, d1 = 7, d2 = 7 Dl.O(d1) = 255474515,16157770,11225896,7448652,4706197,2835071,1644714,935196,254100069,163324,163323,295281,527018,935189,1644703,2835044,1644699,1644700,2835046,254528881,11225789,16157632,16157890,11226010,11225147,7448152,254772609,2834468,2834469,254772611,16154871,22300390,256397941,27070441,20175313,20175312,27070439,256228433,20205999,14499067,9976747,9976748,14499070,20206006,27106373,35195818,44532564,35156342,35156344,44532565,44532566,35193856,27104693,20204539,20204540,27104695,35193860,255533772,40757876,35194689,33970536,33970535,43028202,51903927,41604118,32701263,29719393,22363166,16209767,16209766,22361671,16208606,16208605,18718578,13453658,9200506,6023784,3768538,3768537,254651177,13453643,18879121,13454489,9201016,9201012,10725420,7086311,7086312,10725423,15508177,16206996,16206997,20794251,24749872,18276120,12971436,12971435,18276116,24749867,32366802,32701060,25017567,25017568,254636896,44571817,35193744,35193743,44571816,55418847,44571665,44571666,255169696,81225051,71951804,257642722,51904280,51904281,51806349,41527802,41527803,51806351,63592634,63592609,63592610,63592548,51806275,51806276,63592550,70914233,255564572,46835624,58201698,70914236,70719711,58003330,58003331,46627300,36739236,36739237,46627301,58003333,70719712,84271417,270817433 Dl.O(d2) = 255474515,16157770,11225896,7448652,4706197,2835071,1644714,935196,254100069,163324,163323,295281,527018,935189,1644703,2835044,1644699,1644700,2835046,254528881,11225789,16157632,16157890,11226010,11225147,7448152,254772609,2834468,2834469,254772611,16154871,22300390,256397941,27070441,20175313,20175312,27070439,256228433,20205999,14499067,9976747,9976748,14499070,20206006,27106373,35195818,44532564,35156342,35156344,44532565,44532566,35193856,27104693,20204539,20204540,27104695,35193860,255533772,40757876,35194689,33970536,33970535,43028202,51903927,41604118,32701263,29719393,22363166,16209767,16209766,22361671,16208606,16208605,18718578,13453658,9200506,6023784,3768538,3768537,254651177,13453643,18879121,13454489,9201016,9201012,10725420,7086311,7086312,10725423,15508177,16206996,16206997,20794251,24749872,18276120,12971436,12971435,18276116,24749867,32366802,32701060,25017567,25017568,254636896,44571817,35193744,35193743,44571816,55418847,44571665,44571666,255169696,81225051,71951804,257642722,51904280,51904281,51806349,41527802,41527803,51806351,63592634,63592609,63592610,63592548,51806275,51806276,63592550,70914233,255564572,46835624,58201698,70914236,70719711,58003330,58003331,46627300,36739236,36739237,46627301,58003333,70719712,84271417,270817433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14856266, s2 = 7804599, dlinesl.size( ) = 2 s1 = 14856266, s2 = 7804599, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14856266, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7991412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6419337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13158521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 205480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345179, s2 = 13534, int(edited[s2]) = 0 s1 = 10345179, s2 = 13534, d1 = 43, d2 = 46 Dl.O(d1) = 260633001,100341013,259983720,22761991,16549410,11534933,11534934,16549413,12934163,12934162,16618540,22840734,30149585,22762197,22762196,30149582,38731297,256729696,256362016,48652415,43960355 Dl.O(d2) = 5306193,8168211,5461618,3357955,1974098,1974096,3357946,5461601,4957964,3293597,3293598,5268649,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,2997919,4963674,4736936,4736939,4676387,4676386,7402378,7821214,11159671,7402148,7402147,11159669,12201606,12201607,254839561,8218533,5462612,3358768,3358769,3245472,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339560,610295,339932,339934,611142,610774,610775,254182645,3246217,5268131,8197909,8174031,5243549,5243550,5297968,8203355,5278828,3232542,1895961,1082153,607779,338217,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097478,1921149,3267892,3249174,3249172,4625187,3257950,267771411,613607,341200,341199,613604,1093027,1913905,1093020,613598,341195,187219,187221,341198,613601,1093026,1913920,3257942,3243500,1903479,1903478,3224314,1890057,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335260,184352,184348,335249,601978,1071259,1877774,1617737,1617738,2788391,4628840,4791413,5861920,7577469,7577470,7574588,4790682,2887716,1676016,1676018,2887724,4790700,3289488,3289486,5258123,3213972,1882755,1074228,603527,336049,184738,184735,336040,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301556,537889,953978,1675813,2887404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345179, s2 = 13534, dlinesl.size( ) = 26 s1 = 7828151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7828151, s2 = 13198826, int(edited[s2]) = 0 s1 = 7828151, s2 = 13198826, d1 = 23, d2 = 21 Dl.O(d1) = 4862712,2930222,1699629 Dl.O(d2) = 544466,305055,168849,168848,305054,544465,966330,1699624,2930212,4862701,7685080,11411227,7582989,7582988,7611100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7828151, s2 = 13198826, dlinesl.size( ) = 36 s1 = 48619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 82047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6436129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13315087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13315087, s2 = 6424437, int(edited[s2]) = 0 s1 = 13315087, s2 = 6424437, d1 = 32, d2 = 6 Dl.O(d1) = 254580859,11672001,7781010,4931556,2974875,1727846,1727845,982667,982668,1728634,2978161,2976574,1727557,982073,552936,309460,171184,171181,309454,552922,982043,982320,1727254,1729110,2976049,254369765,2982855,4942772,4935066,2977601,267767791,982470,1728265,1794637,1794635,2979029,2979028,4936164,4931613,2974918,1726499,1726498,1726662,981641,981642,982843,1727624,2976688,1729778,983345,983346,1728951,982853,982852,982678,553241,309603,171261,94252,94253,171266,309614,553263,982716,1728709,2978255,4935883,2982680,2982679,4942546,7781429,4937366,2979237,2979238,4931821,4931819,7781316,7795655,7795654,254552283,2974839,2974840,4931509,7780965,11671963,16713729,16714664,16713777,255508089,16733169,11690534,7796986,4944310,2983993,2983994,2978136,1728607,982653,553227,553228,553931,553932,983952,1730818,2981630,4940961,7792667,7795137,7797891,4945039,2984583,2984584,2982910,2982909,4936355,2982915,1731623,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728838,1728837,2978467,4936289,4942689,2982782,1731533,984382,554227,554226,984527,1731768,2979527,4937716,4942195,7794474,7785769,4935731,4935729,4941952,2982201,1731145,984119,984118,984157,984158,1731206,1730766,1728924,1728925,2978625,3298634,5365786,8315810,254821866,7780987,11671983,9332435,7792173,254369641,2981322,254553051 Dl.O(d2) = 254184795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13315087, s2 = 6424437, dlinesl.size( ) = 8 s1 = 7831733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7976924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 88493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1240068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1240068, s2 = 6817653, int(edited[s2]) = 0 s1 = 1240068, s2 = 6817653, d1 = 6, d2 = 10 Dl.O(d1) = 31277488,23791674,17459967,12308739,8313742,5364428,3297785,1939547 Dl.O(d2) = 1107887,1939546,3297783,5364420,8313728,12308717,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170623,20161918,20161916,21718364,21718363,29004255,31277497,31277498,39952481,49969250,61447025,74226443,258821728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1240068, s2 = 6817653, dlinesl.size( ) = 2 s1 = 1240068, s2 = 6817653, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1240068, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 89434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 90591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13284989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7808914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7808914, s2 = 10195439, int(edited[s2]) = 0 s1 = 7808914, s2 = 10195439, d1 = 45, d2 = 39 Dl.O(d1) = 40483405,50519083,49325158,49325159,39815991,39151771,31752603,24240782,17865014,12651154,8589581,5581370,3462985,3462984,5581368,8585334,12644362,12644364,8585337,8585336,8589556,12651120,8589593,8589596,12651173,17865032,24240788,17889989,12671923,254139926,267916449,5578042,3460821,2052246,1178051,1178054,2053433,2053678,2053677,3460648,3460647,5577797,5581373,5581374,3468771,2056897,1180018,662639,367460,201095,201094,367409,662548,662547,661661,661662,662950,1180444,2056765,3461208,254108182,1179993,1179994,1177426,660986,660987,1177431,661659,366869,366868,367389,201042,109548,60099,60100,109552,200758,109367,109368,200761,201080,109572,109571,200465,109167,59877,59875,109159,109389,200634,109277,59946,33682,19281,19280,33679,59941,109271,200622,109284,109285,109525,60079,60078,109522,201012,367338,661607,254090808,2053672,2053671,1178351,661692,661691,661586,366819,200718,200717,366817,367377,254090728,1178352,1178353,2052583,2052582,2053476,2053475,2053490,3462686,5580916,254420198,8604201,12669927,17887406,17882061,17882062,24259518,256553655,50502688,258294173,259541719,116521941,261865741,167812703,178255759,187441958,187441960 Dl.O(d2) = 213163138,208484143,202806750,196046121,262539976,179082432,180673381,170540195,159199889,259100822,105454958,91233527,77314287,64166148,52314570,52314571,64166149,77314288,65773853,53716450,53716451,65773855,258471402,65773856,65773857,79129139,79129140,79129141,91233529,255301376,60458898,60458897,255659806,59529074,48141863,38231620,38231621,48141864,59529075,256638168,258042165,60458884,49055149,49055148,49055166,60458901,60458971,49055235,49055234,60458969,73205939,73205880,60458900,60458862,49055134,49055133,60458859,49055189,49055132,49055131,60458857,60458930,60458931,60499840,60458865,60458866,49055143,39125064,30526789,23108983,16850657,16850656,23108981,30526788,39125062,49055140,60458874,61793472,50313489,50313490,61793473,255585424,60458933,49380968,254869312,50313468,50313469,47630877,256358941,29148255,256900727,59033017,71775460,70949010,257428449,36985356,28488538,21272418,15311321,10574670,6975130,6975131,255027351,21272421,28488542,23833673,23833674,31324322,36817882,28322024,255204752,15164678,13619485,9325912,9325911,13619484,254494380,28320960,28324234,21114547,15168552,15168551,12684225,12684224,17604245,17604243,22799922,22799921,21196722,21196721,28419105,28449809,30781054,254727886,60712681,73460618,87077802,74403491,74403492,88008868,101984388,116031325,129930058,257428682,127826592,113946903,99923968,85966441,85966442,99923969,90711444,76841002,63737384,257167733,41625223,51928011,258370697,63737411,51928030,41625236,41625237,271045210,51928065,41625264,257167737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7808914, s2 = 10195439, dlinesl.size( ) = 2 s1 = 7808914, s2 = 10195439, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7808914, Dl.E( ) = 46, 1.38e-05 seconds used appending s1 = 490946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13405603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 93222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6430249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 94390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7809377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7809377, s2 = 7553689, int(edited[s2]) = 0 s1 = 7809377, s2 = 7553689, d1 = 7, d2 = 7 Dl.O(d1) = 1257962,715760,404365,226438,124630,124631,125810,68428,37095,37098,64463,64465,64463,64465,64463,64465,64463,64465,64479,64480,64170,64168,69185,120849,254110627,267776737 Dl.O(d2) = 1257962,715760,404365,226438,124630,124631,125810,68428,37095,37098,64463,64465,64463,64465,64463,64465,64463,64465,64479,64480,64170,64168,69185,120849,254110627,267776737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7809377, s2 = 7553689, dlinesl.size( ) = 2 s1 = 7809377, s2 = 7553689, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7809377, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7821391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7821391, s2 = 14127198, int(edited[s2]) = 0 s1 = 7821391, s2 = 14127198, d1 = 6, d2 = 6 Dl.O(d1) = 1250106,1250105,1282892,1283321,1283319,254081542,267747690,268714119,54685326,66941679,258508339,66941693,80367251,94420848,108707957,122973522,136804464,126704707,112852978,112852977,126704706,112852979,98865072,84938186,84938185,87798050,74194696,61416055,49938000,49937999,61416053,61416096,49938030,39920135,256008597,12286988,8297841,5353037,5353038,8297843,12286994,17432484,23760068,31244511,39920158,49938061,44397404,35021973,35021972,44397400,55245435,67587108,81054656,88108463,74496946,61715612,50236631,40216326,40216327,50236632,61715613,61416127,61416126,71361503,63714427,61416048,49937993,39920108,39920107,39920117,49938002,61416059,55245446,55245447,67587115,61416124,49938055,39920153,39920131,31244494,31244493,31244495,257059915,49938005,61416062,74194699,72828802,258795479,81054652,269635503,44397397,44397398,55245432,61416128,74194769,63714420,61715605,50236622,50236624,258222558,61676327,61782731,50303379,50303381,61782726,74565804,88180237,98865065,259497945,84877094,71302575,58570572,58570571,57656744,57656745,48695163,38773106,38773105,257562919,67587102,55245429,44397395,35021969,26941010,26941009,24028291,24028292,31483455,31483456,40168351,50192528,61676329,273237782,195290339,202175022,207963543,274120623 Dl.O(d2) = 1250106,1250105,1282892,1283321,1283319,254081542,267747690,268714119,54685326,66941679,258508339,66941693,80367251,94420848,108707957,122973522,136804464,126704707,112852978,112852977,126704706,112852979,98865072,84938186,84938185,87798050,74194696,61416055,49938000,49937999,61416053,61416096,49938030,39920135,256008597,12286988,8297841,5353037,5353038,8297843,12286994,17432484,23760068,31244511,39920158,49938061,44397404,35021973,35021972,44397400,55245435,67587108,81054656,88108463,74496946,61715612,50236631,40216326,40216327,50236632,61715613,61416127,61416126,71361503,63714427,61416048,49937993,39920108,39920107,39920117,49938002,61416059,55245446,55245447,67587115,61416124,49938055,39920153,39920131,31244494,31244493,31244495,257059915,49938005,61416062,74194699,72828802,258795479,81054652,269635503,44397397,44397398,55245432,61416128,74194769,63714420,61715605,50236622,50236624,258222558,61676327,61782731,50303379,50303381,61782726,74565804,88180237,98865065,259497945,84877094,71302575,58570572,58570571,57656744,57656745,48695163,38773106,38773105,257562919,67587102,55245429,44397395,35021969,26941010,26941009,24028291,24028292,31483455,31483456,40168351,50192528,61676329,273237782,195290339,202175022,207963543,274120623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7821391, s2 = 14127198, dlinesl.size( ) = 2 s1 = 7821391, s2 = 14127198, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7821391, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7814129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7814129, s2 = 5314732, int(edited[s2]) = 0 s1 = 7814129, s2 = 5314732, d1 = 437, d2 = 161 Dl.O(d1) = 2128460,1228399,1228397,1228398,2128458 Dl.O(d2) = 220368583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 6452251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9067278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 512944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 97518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 97518, s2 = 11102938, int(edited[s2]) = 0 s1 = 97518, s2 = 11102938, d1 = 0, d2 = 34 Dl.O(d1) = 2167160 Dl.O(d2) = 257100459,31760570,256552297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 97518, s2 = 11102938, dlinesl.size( ) = 20 s1 = 10151122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6417317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6417317, s2 = 337419, int(edited[s2]) = 0 s1 = 6417317, s2 = 337419, d1 = 10, d2 = 9 Dl.O(d1) = 254071486 Dl.O(d2) = 8480327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6417317, s2 = 337419, dlinesl.size( ) = 2 s1 = 6417317, s2 = 337419, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6417317, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 7803934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7810330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7804092, s2 = 8201826, int(edited[s2]) = 0 s1 = 7804092, s2 = 8201826, d1 = 66, d2 = 79 Dl.O(d1) = 254092744,2216412,1286151,1286149 Dl.O(d2) = 257069614,87145130,101143399,87857254,74252739,74252738,81015827,95074788,87145117,73526077,60777901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346465, s2 = 344922, int(edited[s2]) = 0 s1 = 10346465, s2 = 344922, d1 = 117, d2 = 115 Dl.O(d1) = 42052386,268488926,18784761,18784764,25368639,33103335,42052391,52396443,47739902,37817544,255873155,15844160,15844161,21931406,29252318,37817557,42052314,42052318,52396343,64251792,64251845,52396389,257781803,77401766,91320197,77401665,257781793,42052293,33103261,33103260,25368599,25368589,25368590,25368596,18784737,18784736,13379285,9144814,5984306,3741963,2240135,2240133,3741962,5984303,9144809,10976752,15840116,21926482,29246740,37811470,47733682,59132380,71870628,59138549,47739909,37817551,29252313,29252312,37817548,47739904,59138546,258396631,52396390,42052353,33103309,33103311,42052355,52396394,59132374,71870619,85455570,77401759,64251838,64251839,77401764,77401776,64251864,52396413,42052367,33103322,25368628,18784755,13379284,13379269,9144802,5984298,5984297,9144799,13379267,18784722,256121985,42052278,269497665,47001906,47001908,58372060,71088339,58372070,58372069,71088348,84650922,85455565,257891708,47733671,47733672,59132369,71870612,85455568,79333735,65970196,65970197,79333739,79333768,79333767,79333733,65970195,53903905,43380361,43380360,53903903,65970191,53903897,43380356,43380358,52396400,42052358,42052359,52396404,52396290,42052269,33103248,33103249,42052273 Dl.O(d2) = 12752494,8667397,5654323,3515836,2090926,1202660,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197237,2082374,2081801,1196969,1196967,2081796,254424733,254628919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346465, s2 = 344922, dlinesl.size( ) = 2 s1 = 10346465, s2 = 344922, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10346465, Dl.E( ) = 118, 4.6e-05 seconds used appending s1 = 9675079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9675079, s2 = 11655995, int(edited[s2]) = 0 s1 = 9675079, s2 = 11655995, d1 = 5, d2 = 8 Dl.O(d1) = 1372170,2370328,2370312,1372166,1372169,2370322,3957943,6314836,9613925,254094974,25969315,19302777,13801533,13801534,9613921,9613920,9639285,9639284,14022444,19543488,13994271,9613936,6337152,6337151,9639987,14023410,19575525,254151166,31465405,23969785,17620374,12438788,12438783,8407321,8407322,12438785,12438792,17620376,23969788,31465408,31465450,255714908,40149055,31465420,23969798,17620382,17620383,23969799,31465423,40149058,31465449,23969821,23969820,31465447,255686838,28793234,28793233,37330383,47240170,47240160,40149071,40149070,40149112,40149110,40149121,42154332,33195152,33195151,42154331,50174666,50174667,48561015,41296336,32454952,24818464,24818463,32454951,41296333,40149050,40149052,35080582,26995689,26995690,35080584,40149155,35080574,26995681,26995680,35080572,44455574,53772350,53772349,53772351,43256439,43256440,52512241,52512242,64385982,65384240,53380281,53380282,53729199,53729198,53817983,53729201,43217328,43217329,53729204,65785349,65785348,79139746,79249658,79249657,92284867,78258254,78258255,92284868,255692180,106582618,93376831,93376829,107798816,107798821,122203937,122203938,128178141,114295079,100264965,100264966,102603388,257841568,62143885,50637683,50637682,51866650,41576389,32680754,32680753,41576387,49972340,49972339,61450156,54644212,54644213,66901519,61450145,49972333,39955696,39955695,49972331,51866645,54644215,43901060,34628630,255728335,19826982,26638863,34628635,40887517,39955698,31280896,23794902,23794903,31280897,39955700,49972337,61450152,54644233,43901072,43901073,54644234,66901538,66901551,66901550,66901516,54644208,54644209,54644260,268812877,34628663,33175745,33175744,42132377,43901055,34628666,26638885,26638886,26638887,34628621,26638853,26638852,34628620,42132375,42132374,34628627,26638859,26638858,34628626,34628653,43901086,34628654,26638876,19826989,19826990,256201009,43901088,43901098,54644264,43901097,34649189,26657840,19843774,19843773,25432840,26638896,26657839,19843772,14216481,13421776,9773505,9773506,14216485,13421778,9176690,9176691,13421779,18838239,14216488,14216480,9773501,6426175,4031716,2416160,2416161,4031718,6006205,3756287,254204193 Dl.O(d2) = 744832,1305204,796066,796065,796056,796055,1398694,1398704,796067,254095437,140637,140638,267743237,796051,451171,451172,796052,796199,451288,451253,254241,140670,76996,41910,41909,76992,267739165,451235,796134,267761927,254152227,1398769,796135,451236,451237,796137,1398771,2416274,4031890,6426186,9773516,14216494,255729695,26657832,26657833,34649184,26657819,19843745,19843746,19843760,26657820,26657821,26657835,26657834,33855293,33855294,26657837,19843769,19843754,14216461,14216462,255729691,34649185,26658613,19844500,14217047,9773909,254965249,9773920,6426444,254313579,267782457,4031887,6426442,9773529,6426199,6426198,9773526,14216499,19843785,26657855,26658618,19844505,14217049,9773912,6426439,6426440,9773914,14216501,14216500,268330469,34649204,257289303,54664973,54664972,43922444,257289301,43922437,43922436,54664964,66921530,54665870,257887687,43923317,34650013,26658660,26658659,34649996,34649988,26658642,26658640,34649984,34649991,43923294,43923284,43923282,43223614,34135818,34135817,257261043,43923304,43923303,54665878,65791256,53735369,43223609,43223610,43223593,34135803,268787587,26269327,26269328,34135816,43223612,53735372,65791258,77770163,64587275,52686769,43223590,43223591,34135806,26269314,19548662,13998515,13998514,19548661,26269310,34135804,26269316,26269317,33923446,26090262,255294385,9520278,9520283,13877718,19400878,19548668,26269322,26269629,34136204,26331005,26331004,34204767,43303033,255912306,33635380,25832542,25832538,25832539,26269625,19548920,19548918,26269620,34136196,43224144,43224147,47179610,37273614,37273613,47179599,47179629,37273623,37273622,47179628,47179631,58568452,66926819,58568448,58568445,58568444,58568453,58568454,71300523,58568540,47179720,37273722,37273723,47179722,58568534,47179717,37273720,37273721,47179718,58568536,71300597,61444637,49966615,39949798,39949797,33855326,26033864,19356019,13843766,13843767,19356020,26033866,33855329,42900438,53366550,65370471,53366505,53366506,256686301,26033809,256168523,42900402,53366521,53366522,53366507,42900395,33855277,33855276,42900397,257244431,65370485,259082745,107078212,107078211,260328673,107078250,107078217,92738463,259712319,260328671,259082749,78675350,92738493,107078251,121374873,107078213,107078214,99094927,85173016,85173017,99094928,259334735,71608112,58888101,58888100,270302905,99094910,92738468,92738465,78675331,71608093,58888088,58888089,71608094,58888126,47508613,37604434,29055983,21761252,15705800,10872585,7188650,254747159,255425287,29055985,257475277,47508597,256353973,21761249,21761250,29055978,37604428,47508606,37604435,37604436,47508616,58888127,258708807,58888110,58888109,71608122,77524364,64358728,52487822,268745219,25432825,25432823,33175734,257197031,64358718,257787048,72818587,64358724,64358725,77524362,91453795,91453792,91453793,99094922,98781405,98781404,84855107,84855108,71608106,71608105,85172984,84855106,71281607,58550137,47161543,37256253,37256254,47161546,58550139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9675079, s2 = 11655995, dlinesl.size( ) = 2 s1 = 9675079, s2 = 11655995, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9675079, Dl.E( ) = 10, 1.1e-05 seconds used appending s1 = 248981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 248981, s2 = 11655429, int(edited[s2]) = 0 s1 = 248981, s2 = 11655429, d1 = 1, d2 = 1 Dl.O(d1) = 9279298,6078245,3803211,2278113,2278112,3803210,6078243,6098262,3815592,3815591,3824757,3831664,6101532,8703694,5665805,3837252,2298872,2298871,3837248,5665815,8703686,8703688,12801279,13653940,13653941,13595116,9309044,6097972,6097973,9309047,13595113,13595112,19044840,17831574,17831575,13624124,9329134,6110993,3823640,3823641,6110995,9329136,13624126,19082697,25709835,25737997,256149577,269527366,78050672,91977072,106174708,114892218,100842367,86861896,73249396,73249395,258759542,258136190,59598114,52928048,42517487,42517486,52928047,64853565,70949553,58232324,58232325,58232321,58232320,70949548,84513141,258525920,80666393,67191748,54872275,44071773,34754969,268819333,34754966,34754965,44071767,54872266,67191732 Dl.O(d2) = 9279298,6078245,3803211,2278113,2278112,3803210,6078243,6098262,3815592,3815591,3824757,3831664,6101532,8703694,5665805,3837252,2298872,2298871,3837248,5665815,8703686,8703688,12801279,13653940,13653941,13595116,9309044,6097972,6097973,9309047,13595113,13595112,19044840,17831574,17831575,13624124,9329134,6110993,3823640,3823641,6110995,9329136,13624126,19082697,25709835,25737997,256149577,269527366,78050672,91977072,106174708,114892218,100842367,86861896,73249396,73249395,258759542,258136190,59598114,52928048,42517487,42517486,52928047,64853565,70949553,58232324,58232325,58232321,58232320,70949548,84513141,258525920,80666393,67191748,54872275,44071773,34754969,268819333,34754966,34754965,44071767,54872266,67191732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 248981, s2 = 11655429, dlinesl.size( ) = 2 s1 = 248981, s2 = 11655429, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 248981, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6557405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6432417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6432417, s2 = 537954, int(edited[s2]) = 0 s1 = 6432417, s2 = 537954, d1 = 14, d2 = 1 Dl.O(d1) = 254311743,2397839,2397840,3839195,2300073,1334580,1334529,1334528,2300006,3839095,6136382,9368294,13680252,19158127,13680243,13680242 Dl.O(d2) = 13680254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6432417, s2 = 537954, dlinesl.size( ) = 2 s1 = 6432417, s2 = 537954, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6432417, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 251994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7802890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178747, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 540577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8812094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8812094, s2 = 8423071, int(edited[s2]) = 0 s1 = 8812094, s2 = 8423071, d1 = 17, d2 = 30 Dl.O(d1) = 180164902,189109333,273781763,264615537,215933141,264508183,263906933,263159763,263159761,193993506 Dl.O(d2) = 13142339,18498261,25030636,32716833,41622311,41622312,51924857,63733996,76837510,77253235,77253234,76837743,67645965,55306979,44461896,44461897,55306981,67645968,59261026,59261025,52257642,41919455,32979439,32979440,41919460,52257652,52257690,41919497,268486159,18685526,18685525,25256547,32716795,32716794,41622556,256613455,25030630,25030632,256613457,51925183,51925117,41622540,41622541,41622613,41622614,41622522,32716767,32716765,41622460,41622461,43344848,53869662,51925115,256668476,76837671,64106513,52257709,51925090,257266838,41622503,41622451,32716729,32716730,32716733,32716722,32716723,41622444,51925026,63734164,63298355,51579915,41919481,32979455,25256538,25256537,32979453,41919476,51925061,63734212,269071007,32979461,25256542,18685522,13292423,13292422,18685520,256111245,41919483,52257671,63734221,257861522,90140511,76322096,63734227,51925079,257180515,32979495,32979494,41919531,52257716,258384363,90708110,76837697,63734214,63734213,52257736,41919546,41919545,52257734,256706672,41622419,41622420,51924999,258997555,76837689,76837714,76837687,64106518,64106519,74569238,74569239,64106530,64106529,63734179,63734178,76837664,90708118,76837701,76837702,259011173,76837684,63734197,257167551,41622475,51925048,52257658,64106493,77253239,71037107,58321484,46954324,46954323,258046097,63298380,257742265,41622428,32716707,25030571,25030570,32511155,24868932,24868933,32511158,41358302,41358249,269038923,41093784,51271830,257382913,46275646,57620078,51579965,41358334,32511180,32511179,41358333,51579943,51579944,258046095,62945815,62945816,51579911,41358277,41093790,41093789,51271832,257742269,41358315,32511166,27964606,27964607,36423003,46275650,51579889,41358270,32511131,24868919,18371620,13046817,13046818,268282905,32511144,41358286,41358251,41358252,51579888,63298330,51579980,41358343,268474771,18371644,18371645,24868918,32511128,32511133,24868920,24868921,32511135,41358272,256601931,32511165,41358314,41358306,32511159,24868942,18371633,13046824,8887189,8887190,13046826,18210330,12915812,254628623,3562423,3562422,5722162,254892393,18210327,256076309,256587417,41093864,41093863,51271828,51271827,62945711,62945710,51271839,41093802,41093801,269453671,41093729,41093654,32511137,32511136,32284753,24675177,18210350,12915829,254628627,5722169,8785832,12915832,18210354,24675183,32284763,41093777,41093763,32284750,24675170,18210347,12915827,12915826,18210343,24675167,32284746,41093756,41660489,41660488,257704157,40776547,32020321,24458993,24458992,32020319,256587432,32284634,32020316,32020315,40776537,50892727,62492517,51271922,41093877,41093876,32749641,25057998,25057997,24675152,24675151,32284734,269038921,51968205,256615555,25058057,25058058,32749722,41660501,257758767,62945728,51271730,41358255,32511119,32511120,32284708,32284707,41093715,51271783,62945774,63783459,63783458,62945716,55657906,44749690,256235209,20272907,20272908,27199691,32749689,41660456,51968162,257169767,32749739,32749672,32749673,32751160,32751162,41662157,51969891,63784977,63783421,58931863,47549719,47549718,51968207,51271806,41093752,32284743,24675159,18210380,18210381,24675217,32284815,41093852,256539086,41660388,51968113,41660473,32749702,25058037,18519816,18519815,25058035,256032904,256032906,51271803,51271804,41660474,32749704,32749703,29094220,21796417,15737086,15737085,21796414,29094215,37643859,47549729,58931873,71653701,62945749,257139231,32284692,32284643,24675088,24675087,32284641,41093613,257725207,41660471,41660470,51968180,63783445,258278462,74537466,81541493,81541492,95571917,99527390,103810881,109467955,95213476,81156524,67691012,257314299,44505378,51271881,44505381,268685260,47549725,37643855,37643854,44749677,44749672,256802722,20272900,14545517,10007914,10007913,14545514,20272918,27199712,35323549,44749724,51271882,51271883,62945848,75926360,68054708,55657912,44749695,44749696,55657896,55657895,44749709,35323537,35323535,44749707,55657923,59023584,258713851,70193235,259241263,259178983,81541501,95571926,89159102,89159103,103249443,89159120,75411330,75411329,70193245,70193246,70193251,83714962,97588433,111529213,97588437,89159115,75411326,62492535,62492534,75411324,89159112,103249462,271923919,144414411,144414377,144414376,151396006,258396992,115779108,115779109,129675768,138688013,125348147,111529199,97588425,259860405,125348138,138688002,151395992,163282624,263455899,188298061,187765643,178631215,168294667,156825464,156825463,168294665,178631212,183810402,183469620,173684228,173684229,175015395,178631187,273326828,195728953,187765629,178631198,178631197,175015486,164200594,152318156,262642477,263660617,188298021,188298022,196184132,202931763,263660614,197067337,189629035,273204116,179243206,168952879,260803330,131788118,260206185,89705050,75926335,75926334,259590645,117958565,271941693,103810821,103810820,117958513,131788033,145049067,131788107,131788108,145049161,262414315,168952815,262879147,164354764,164354765,175147597,164354769,152487288,139766654,139766650,131788087,117958557,103810848,89705035,75926328,75926329,89705036,103810849,117958558,131788086,117958557,103810848,89705035,75926328,75926329,89705036,260803323,260788500,144603566,131380603,131380602,144603564,157001249,144603617,131380635,117580373,103449946,89354383,75593132,75593131,89354380,103449944,117580368,131380630,144603613,157001407,168448064,178753797,168447904,168447903,178753794,187858192,187858232,178753888,175147645,175147643,262399580,157001195,144603439,131380523,117580290,103449896,89354350,259575939,117580284,131380514,261896885,131380651,117580381,117580382,131380654,144603636,157001426,168448077,178753942,263504426,187488812,178277992,167840149,157001432,144603638,144603637,157001429,168448078,177571147,175147667,164354837,152487342,152487343,164354839,261358246,157001469,157001467,260595944,131380689,117580409,117580410,131380693,144603677,131380695,117580411,117580404,259575949,89354399,103449967,117580402,131380681,144603665,157001456,262865087,165474270,153695681,141030027,127682423,113814927,99801373,99801374,93250242,79134936,65780282,53723697,53723698,65780287,79134941,259732197,122027204,135954503,149178310,161464397,164147394,174965944,184569644,174965947,261700470,139529757,126154343,112294141,98311592,269802782,70844702,84402095,259900165,126154323,112294027,98311488,84401991,70844621,70844622,72296993,85889771,84401987,70844616,70844615,84401983,98311475,99487417,99487418,98311530,84402031,257496642,46762158,36883765,28387328,28387329,21168966,15211125,15211124,21168964,256302449,46762154,58130202,70844641,84402018,84402017,87214717,87214716,101215477,259355702,98311518,98311517,112294043,112294104,258730528,70844670,58130222,58130221,70844668,258730526,65780296,65780298,79134958,93250266,258756790,258730536,84402090,98311587,112294137,112912809,107652940,107652939,122027206,135954505,149178313,140725130,271794938,112294131,112294130,113832986,113832985,99873805,85918611,258754800,113892319,113833029,112294122,98311577,84402076,84402077,98311575,84402074,84402072,98311574,112294119,112294147,126154387,112294133,258730534,70844693,70844692,260502209,84402094,84402095,259900165,126154323,112294027,98311488,84401991,70844621,70844622,72296993,85889771,84401987,70844616,70844615,84401983,98311475,99487417,99487418,98311530,98311528,84402114,259280829,98311565,112294109,112294038,112294037,258730514,70844654,58130211,46762160,46762161,58130210,70844651,84402034,98311531,105310543,257036644,98311534,84402037,258225610,112294058,126154347,127735246,127735247,271764043,70844636,58130197,46762150,46762151,58130199,70844638,84402017,87214717,87214716,101215477,98311502,98311503,271764041,259355700,98311515,112294040,126154332,134784445,134784446,140854147,140854146,153531303,260907454,117446407,117446409,131255423,134784443,260313315,92429377,78392666,78392667,259697647,260907457,147903021,262302094,128928065,115025046,115025047,128928066,142278803,128928058,115025041,100969037,100969036,115025040,120987862,259697649,258440515,53124182,42673292,33644044,33644043,42673291,257599698,39296622,49223608,269843355,86983108,92429381,106735149,100969053,86983122,73370379,60624778,49223611,49223612,60624777,60624776,73370376,71867783,59129418,47730755,256334582,71867782,85452814,74202931,61424246,61424247,74202933,87806339,100369113,86413113,86413112,100369112,114392353,113394509,113394510,127252933,114392343,101778814,99393679,99393678,100369123,113394491,99393654,99393655,100369115,258271786,72818054,86413110,100369108,114392347,118028768,103886156,89784745,89784744,103886154,118028765,128268525,128268524,261302550,165094348,165094347,166027670,261666228,131854501,118028766,261377265,157546264,157546266,145112613,141619047,141619048,154274925,164359489,154274919,154274918,166027665,157546267,154274926,154274927,159211445,159211444,164359487,169150753,157708564,145296798,132058631,118237455,104077320,89947085,76140671,76140672,89947078,79265318,268646850,49393915,39465428,39465429,49393917,60794605,65903153,53836141,43311651,34213567,26339993,26339992,31792869,31792866,24279201,24279200,31792864,40487845,50523374,40487841,40487842,50523375,53836177,43311696,43311695,43311742,34213654,26340064,26340063,34213656,43311746,53836215,65903194,79265335,259738343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8812094, s2 = 8423071, dlinesl.size( ) = 2 s1 = 8812094, s2 = 8423071, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8812094, Dl.E( ) = 32, 2e-05 seconds used appending s1 = 6420314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 108207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3874363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7801800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10173739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7919412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7919412, s2 = 10160648, int(edited[s2]) = 0 s1 = 7919412, s2 = 10160648, d1 = 0, d2 = 0 Dl.O(d1) = 9934494,14441853,20135907,22451432,16282338,11323640,11323644,9752651,6412469,4022729,2410284,1394577,1394576,2410275,4022707,6412423,9752576,14186860,11323239,11323240,11318996,7515778,7515777,11318989,11322631,16281460,11323899,11323900,11323885,11319125,7515868,7515867,11319119,255095087,7517015,4751988,2863925,2863924,4751986,7517009,11320659,16279052,11323762,7520048,7520049,7519773,7519772,7516472,7516473,4754014,2865190,2865191,4754017,7519612,11323273,7520101,4754375,4754376,7520102,11323835,16282043,11323289,11323288,16282040,21977646,21977645,16281315,11324253,7520403,4754560,2865517,2864360,1662487,1662488,2864366,4752745,7518066,10914824,7517367,4753927,4753925,4752984,4752982,7518382,11322095,11322054,7518330,7518331,4753920,4753919,3159698,3159697,4548167,4548164,7218623,10914925,7517758,7517757,4754171,2865299,2865300,2824605,2824604,4687653,4753233,2864687,2864688,4753234,7518711,255095243,11322851,7519169,7218235,7218234,10914284,7218084,7218083,4753723,4753724,4547883,2864018,2864017,4752140,2865557,2865556,4754104,2865247,2865246,4754100,4547959,2864999,1662849,1662850,1662525,1662528,2733871,3159719,3159720,5178668,8082619,12022307,11321547,11321548,16280484,12022340,11010040,7288493,4596183,2764982,2764981,2864292,4752603,7288470,4596170,2764975,2764976,4596174,5178574,3159653,1849617,1055564,593499,593500,1055571,1849629,3159674,5178601,8082552,11322250,7518541,4753100,4753101,7518545,11322261,16280320,11322660,11322662,11322046,11009930,7288405,7288406,11009935,15882793,12021927,8082296,5178504,3159618,3159617,5178498,8082399,11010030,7517612,7517614,11321317,16280236,11321278,11321279,255474333,29817346,24264696,24264695 Dl.O(d2) = 9934494,14441853,20135907,22451432,16282338,11323640,11323644,9752651,6412469,4022729,2410284,1394577,1394576,2410275,4022707,6412423,9752576,14186860,11323239,11323240,11318996,7515778,7515777,11318989,11322631,16281460,11323899,11323900,11323885,11319125,7515868,7515867,11319119,255095087,7517015,4751988,2863925,2863924,4751986,7517009,11320659,16279052,11323762,7520048,7520049,7519773,7519772,7516472,7516473,4754014,2865190,2865191,4754017,7519612,11323273,7520101,4754375,4754376,7520102,11323835,16282043,11323289,11323288,16282040,21977646,21977645,16281315,11324253,7520403,4754560,2865517,2864360,1662487,1662488,2864366,4752745,7518066,10914824,7517367,4753927,4753925,4752984,4752982,7518382,11322095,11322054,7518330,7518331,4753920,4753919,3159698,3159697,4548167,4548164,7218623,10914925,7517758,7517757,4754171,2865299,2865300,2824605,2824604,4687653,4753233,2864687,2864688,4753234,7518711,255095243,11322851,7519169,7218235,7218234,10914284,7218084,7218083,4753723,4753724,4547883,2864018,2864017,4752140,2865557,2865556,4754104,2865247,2865246,4754100,4547959,2864999,1662849,1662850,1662525,1662528,2733871,3159719,3159720,5178668,8082619,12022307,11321547,11321548,16280484,12022340,11010040,7288493,4596183,2764982,2764981,2864292,4752603,7288470,4596170,2764975,2764976,4596174,5178574,3159653,1849617,1055564,593499,593500,1055571,1849629,3159674,5178601,8082552,11322250,7518541,4753100,4753101,7518545,11322261,16280320,11322660,11322662,11322046,11009930,7288405,7288406,11009935,15882793,12021927,8082296,5178504,3159618,3159617,5178498,8082399,11010030,7517612,7517614,11321317,16280236,11321278,11321279,255474333,29817346,24264696,24264695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7919412, s2 = 10160648, dlinesl.size( ) = 2 s1 = 7919412, s2 = 10160648, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7919412, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13295445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162524, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 111128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 111128, s2 = 15249374, int(edited[s2]) = 0 s1 = 111128, s2 = 15249374, d1 = 1, d2 = 11 Dl.O(d1) = 2426551 Dl.O(d2) = 9761289,6417939,4026296,2412721,2412723,1396680,1396681,2412961,2412963,4026667,6418471,8982710,5999614,3752121,3752120,4079526,6510153,9905001,9905012,6510160,4079530,2440902,2440903,2191576,1272270,1272269,2191575,3662683,3745939,2242226,2242224,3745936,5990654,5957907,254437776,13326284,13188962,8994663,5872444,5872443,8994661,8998537,5957914,3725954,3725952,5957910,8998125,5874583,5874582,8998124,8997709,8997708,13192969,13192968,13199020,8997681,8997683,13199022,18574051,18720496,13326265,10243979,6731031,6731030,10243973,13199545,18574475,20325888,14586948,10037043,6596092,6596091,10037042,9905224,6510337,4079728,4079726,6510335,9905223,13199085,13199086,8999151,5875263,3668456,3668457,5875269,6020709,6020708,8998471,8998563,5874853,3668221,2195793,2195794,3668224,5874860,5957982,3725996,3725998,5957986,9105466,9773249,6425991,4031558,267782822,9773251,14216114,13199483,13199482,13187696,13187695,254201502,13187697,16036774,11134972,11134971,16036773,18575328,25127923,32832910,32832996,32832987,28598156,28598155,29496987,25126713,25126714,32831727,38059891,29496918,29496919,32831768,25126756,25126755,32831766,41752878,254217506,52066957,254321018,42102061,41752884,33171028,33171027,31690445,24181884,17813537,12611678,12611677,17813535,24181881,31690444,25428533,25428534,31343140,25442279,18845663,18845662,25442278,32831770,25126757,18574224,13199254,8997860,5874414,5874415,8997862,13199259,9171748,9171749,12518381,8480941,6005410,3755757,3755755,5373041,3303842,3303843,5373047,8325555,12325060,17480973,17254645,17254646,18834460,18830500,13416288,13416289,18827779,21010672,15090251,10407750,10407752,15090253,13414420,9171887,9171886,13414417,18827732,25419706,25419389,18827466,13414196,13414198,18827472,22833377,22833378,22981836,17479658,12324106,8324842,5372435,5372433,8324833,12324093,9173106,9173105,9170837,9170838,13412898,18825654,13427219,9180372,6008695,3758104,2251147,2251148,3758108,6008700,9180380,13415255,9172422,9172421,13415253,18829028,25421650,33163864,42120124,42112460,33158005,25417067,268491481,36417626,27959665,20798004,14904951,14904950,20798003,256267117,26144823,268517201,42112468,42112467,52465037,52465032,50263313,40243828,40243829,42189150,42189151,42789953,33759003,33759002,42789951,42155642,256127931,18852194,13431774,13431773,18852193,25450179,33196272,40242394,33196275,33196276,42155641,52513582,58749156,47362373,46863745,36985237,36985238,46863746,58231685,67552674,77555424,70948860,70948861,70317141,57626768,57626767,55208939,44358304,34980769,34980768,44358303,55208936,67552666,81022413,81022432,81022398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 111128, s2 = 15249374, dlinesl.size( ) = 2 s1 = 111128, s2 = 15249374, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 111128, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7847888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6505326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6505326, s2 = 15050282, int(edited[s2]) = 0 s1 = 6505326, s2 = 15050282, d1 = 16, d2 = 21 Dl.O(d1) = 255330537,9931245,6526879,4089446,2446473,1414491,1414421,804737,804736,1414419,2446337,1414429,1414430,2446351,4089255,6526585,4089250,2446369,1414440,1414439,2446367,4089286,6526626,6526349,4089069,2446239,1414361,804704,254095807,257047,257053,257055,456033,804726,1414399,1414458,804754,456053,254116771,1414455 Dl.O(d2) = 254976753,9930460,255746137,35104411,44480814,55326815,55326825,55326824,255746146,27021288,20129767,14437272,14437271,14436268,9930477,6526351,4089070,2446240,1414361,1414360,2446237,4089064,6526341,9930460,255330379,27019194,268828051,55326818,67666644,55328558,55225159,44374391,34996209,26914873,26914871,29912027,38469932,44483038,44483041,55329165,57979159,46602013,36713782,35104888,27019545,20128475,20128472,27019539,35104877,44481397,55327501,256746623,27019538,27019539,35104877,44481398,55327503,258532317,95191997,109447698,271849925,115585345,111838360,111838361,125653729,118374706,104215448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6505326, s2 = 15050282, dlinesl.size( ) = 12 s1 = 13433685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8171147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8171147, s2 = 11014724, int(edited[s2]) = 0 s1 = 8171147, s2 = 11014724, d1 = 4, d2 = 0 Dl.O(d1) = 1443022,1443018,2501031,1443489,1443486,1435175,815875,815870,1435194,2484861,2515663,4206616,6713792,10217915,14858326,20726751,27851943,35430905,35430903,44868936,35882074,27600584,20561714,20561718,27600652,27497063,27497065,35718688,45269934,56312790,57082201,69380028,56801857,45639007,45639006,56801853,65497156,65497155,69594796,56987376,56987375,56987029,45781557,36070923,27725064,27725065,36070982,268818156,270231549,258777546,50903875,40787139,32030263,27491855,27358852,20401986,14641719,10071995,6616500,4143602,4143600,4162000,6612095,6612094,4182539,2500980,1443015,1443013,2501017,1443260,1443257,2496112,1440847,1440844,2496150,4175730,6668478,10152435,14762233,20580161,27627272,35576011,35576008,45067874,51134440,56017084,45041492,35557437,35557435,45041481,49454402,60856381,69794772,57155846,57155843,69794765,83340657,76130333,63124917,63124914,69830263,83371150,97294959,269615366,40817303,40817304,42561043,50937134,40817303,40817304,33544622 Dl.O(d2) = 2292175,1329999,759445,759442,1329989,2292150,3812506,3828199,2293529,2293528,3828195,5188650,5188655,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,8931113,254472238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8171147, s2 = 11014724, dlinesl.size( ) = 2 s1 = 8171147, s2 = 11014724, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8171147, Dl.E( ) = 10, 7.87e-06 seconds used appending s1 = 7631100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13255043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13255043, s2 = 13702513, int(edited[s2]) = 0 s1 = 13255043, s2 = 13702513, d1 = 40, d2 = 60 Dl.O(d1) = 9713854,9713857,13556602,18147721,21041440,15113673,10424808,10424809,15113676,21041447,28240312,36735348,36735344,36735342,254435498,25429948,25429949,33172537,42128891,45950641,36191278,27806583,27806581,35736752,35736750,34291468,34291466,35577726,27402496,27402495,20502694,14709553,14709550,10124780,6648503,4162482,4162478,6611533,6611530,4182507,2500989,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988 Dl.O(d2) = 22910391,256449169,269360551,72952489,260046463,128429989,261769077,154431865,154431853,261222427,114545382,114545381,128429965,141784048,154431850,154431847,141784045,141784044,154431843,154431871,166168279,154431863,141784066,128429979,114545391,100514250,86551916,86551917,100514252,100514254,100514241,100514242,114545376,128429960,141784040,154431841,141784060,261769075,166168277,154431866,154431864,154431861,154431836,141784030,128429954,128429955,141784032,141784046,154431848,141784073,141784070,128429981,128429982,141784071,154431867,154431842,141784042,128429962,114545379,100514244,270344365,60213504,48817494,269360551,72952490,86551922,100514263,114545402,128429992,141784081,141784054,260646541,100514246,86551915,86551917,100514252,100514254,100514241,100514242,114545376,128429960,261769071,141784060,128429973,128429974,141784062,262281489,154431854,141784051,128429967,128429968,141784052,154431857,166168273,154431839,141784038,260646539,114545375,128429959,141784039,262281481,114545389,114545388,128429972,261222431,128429987,141784074,154431833,154431834,154431851,154431850,166168275,154431845,141784045,141784044,154431843,154431871,166168279,154431863,141784066,141784067,154431861,154431859,141784058,260646543,114545386,261222429,141784033,141784047,141784048,154431850,154431847,141784045,141784044,154431843,141784078,128429991,114545401,114545402,128429993,128429984,128429983,141784072,154431868,166168273,154431839,141784038,260646539,114545375,128429959,141784028,128429953,114545398,100514261,86551921,86551922,100514262,260646549,141784080,154431851,154431850,154431847,141784045,141784044,262281485,166168279,154431863,141784066,141784067,154431861,154431836,154431835,166168272,154431842,141784042,141784043,128429991,114545401,260646551,261769079,141784054,260646541,114545383,128429968,141784053,141784063,128429975,114545389,114545387,128429974,141784062,262281489,262756771,141784073,141784070,261769073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13255043, s2 = 13702513, dlinesl.size( ) = 2 s1 = 13255043, s2 = 13702513, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13255043, Dl.E( ) = 62, 2.1e-05 seconds used appending s1 = 9061339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9061339, s2 = 6694647, int(edited[s2]) = 0 s1 = 9061339, s2 = 6694647, d1 = 25, d2 = 6 Dl.O(d1) = 4216458,254217243,822446,464388,261370,144826,144825,254117387,1452706,2520944,4216453,6729667,10241875,14894777,14894778,255780057,256265823,46209417,57524947,70192122,83713865,257990359,57524949,70192125,259860303,125347113,138687072,151395161,163281888,163281886,151395159,138687070,138687069,125347117,111528091,111528090,111528089,97587320,83713869,70192128,57524950,46209420,36378772,255780059,14894779,14894780,20781724,256265825,257990357,57524948,70192124,259241151,111528079,125347110,138687068,151395157,163281883,174136939,183809650,192289648,199595092,205777781,210890002,215066025,218504073,221395867,223407836,220826949,217796579,214166894,209747014,209747013,214166893,214166909,214166911,217796553,214166867,209746973,264081151,190316793,263746285,197897233,197897232,204357601,264380235,264891767,209746976,209746977,209746999,214166881,217796566,214166904,214166903,217796591,220826964,220826936,220826935,223407830,223407834,225639586,227580492,227580489 Dl.O(d2) = 6200194,9456609,13791345,255289099,13791492,13791493,19290454,19290312,13791359,13791360,15449501,10681794,7056179,7056178,10681792,15449498,21445939,28697674,37223396,47121106,257447751,65236412,53246859,42794640,42794641,53246862,65236415,78526731,92574021,106893206,121160247,128240860,114363048,100338074,86380664,72784588,72784589,86380666,100338076,114363050,109813475,95610059,81576218,68086173,68086172,258552213,55687876,44779727,35355027,27231933,20302779,14570106,14570105,14570109,255760147,35355038,44779743,55687893,58141578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9061339, s2 = 6694647, dlinesl.size( ) = 14 s1 = 398883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 398883, s2 = 7962657, int(edited[s2]) = 0 s1 = 398883, s2 = 7962657, d1 = 2, d2 = 56 Dl.O(d1) = 10257186,6740174,254321043,1455393 Dl.O(d2) = 10660976,254480010,14916703,14916702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 114243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 114243, s2 = 8576291, int(edited[s2]) = 0 s1 = 114243, s2 = 8576291, d1 = 0, d2 = 7 Dl.O(d1) = 2535144 Dl.O(d2) = 165200201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 114243, s2 = 8576291, dlinesl.size( ) = 2 s1 = 114243, s2 = 8576291, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 114243, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 15778056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7953182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8000619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9710196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 74060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8207472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6547534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6547534, s2 = 6584439, int(edited[s2]) = 0 s1 = 6547534, s2 = 6584439, d1 = 8, d2 = 6 Dl.O(d1) = 255832048,267824899,1538218,1538217,254334331 Dl.O(d2) = 256232889,36717644,268377016,15154687,10451469,6889672,254328310,2587653,4325178,6889674,10451474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6547534, s2 = 6584439, dlinesl.size( ) = 2 s1 = 6547534, s2 = 6584439, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6547534, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9379595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9379595, s2 = 9117976, int(edited[s2]) = 0 s1 = 9379595, s2 = 9117976, d1 = 41, d2 = 39 Dl.O(d1) = 268813365,49920889,39901282,31224591,23741312,23741311,20266619,20266618,256234709,26405887,26405886,255718711,14101791,254678265,4002292,2398401,1387860,789287,447070,251575,251576,447072,789293,1387875,2398437,4002154,4002208,6379032,9698849,14101174,9699040,6379060,4002224,4002223,6379055,9699031,9699472,9698452,6378726,6378725,9698481,6378849,6378851,9698682,14100582,9698470,9698468,14100401,14100347,9698320,9698319,11486149,16485367,18272700,19670472,26404629,19670333,19670332,26404627,19670426,19670427,26404726,255944222,30255788,22860549,16634171,11603292,7724289,7724292,11603299,16634188,17418932,23743886,31227557,31594564,24091137,17733592,17733594,24091144,23766000,23766001,28666755,28666752,29810996,29810998,34281476,30188241,22798595,22798596,22444065,22444062,29810955,28782074,21518807,15507703,15507702,17419259,17419260,17419301,17419304,17418955,12277191,11603230,7724262,7724263,11603238,16634072,22860412,23744185,17783974,12586587,12586588,17783966,24151157,29168914,21859557,21386466,15402945,15402947,21386471,28624090,32133040,40910730,37188027,28666791,21420519,15429641,10666746,10666745,15429634,21420505,28666725,28666724,37187973,29587423,22239505,16103927,11185972,11185971,16103924,22239495,29587406,37136930,37136931,47025236,256321258,48758827,48758825,50145637,58311178,46944645,37065504,28563849,21337024,21337025,28563850,37065505,36857889,28359917,28359918,36857891,37137018,28624191,268175564,10646319,7029421,4421961,2653097,2653095,4421957,7029413,10646308,15402978,21386513,28624170,37136993,28624210,28624209,37137031,28645781,21404112,15416815,10657002,7037429,7037425,4428038,2657592,1537602,1537603,2657595,4428045,7037436,10657010,10657147,15416988,14414620,9913676,9913677,14414624,20104408,26995299,35080170,43378355,34279571,34279566,26404678,25058315,18520045,18520046,25058320,32750028,28607110,21372664,21372665,21372725,21372727,21372619,15391900,15391898,21372611,28607019,33164581,33164583,28564668,28564666,37066380,37066392,46945500,46289233,36436234,36436233,269293185,70324653,72689364,59950905,48558755,48558754,50049452,50049454,41521281,41521280,41521317,41521316,32635270,24965457,24965458,32635272,32635242,24965445,18446687,13103857,13103858,18446691,24965447,32635248,41521290,47319114,47319115,52364767,52364766,49088056,49088057,60491294,71378761,71448180,59950907,59950908,51799254,41521333,32635281,32635282,41521336,51799259,48498976,48498977,52677595,42291177,33311079,25549529,25549528,33311072,42291171,50049479,40029461,31349147,23855193,23855194,31349150,40029463,50049489,41521315,32635266,24965453,24965452,32635259,24965462,24965463,32635237,41521266,51799180,42026661,42026660,40505250,31809696,31809698,40505260,37340283,28802340,21535935,15520951,15520952,21535936,28802342,37340289,39158396,49088075,49088063,49088062,53148366,42697746,33666909,33666908,40065227,31382494,31382492,40065221,42697710,33666890,33666889,38859737,30275092,30275093,38859652,30275062,30275063,38859674,48779924,51799145,41521234,32635220,32635219,41521230,51799140,62032244,50540576,40505218,40505217,50540575,62032240,65133322,63585125,63585124,65133330,65133329,61566889,61566888,257704912,33666896,33666898,42697724,47259498,48779938,60174399,72911332,65818143,53759726,43244395,43244396,53759732,64350771,62023347,50531350,48780058,48780060,60174536,64350835,52480768,42125960,42125959,52480765,52480660,42125888,33169788,30275107,30275105,35368381,27244461,256220016,6592494,6592493,10031020,14577650,20313126,256238389,42129266,33172865,33172866,257196891,258401829,91449543,270271172,98166643,84271643,84271642,98166641,270271170,119908343,260100354,95621850,81588082,81588081,95621847,109826330,123966204,125549133,129162286,125549134,111743174,111743173,112900960,98912841,98912840,101758900,87785582,76995415,76995414,90873703,101154137,87156194,73537926,73537906,73537905,87156167,73537933,60790807,49390156,49390154,60790803,60790802,73537925,87156193,258379098,101154123,87156177,87156176,100125604,86159590,86159591,100125608,112900961,98912843,84987350,71413349,71413350,257629084,84987340,71413340,71413306,71413307,71413333,257629074,47288345,37378781,268924001,84987321,84987334,71413330,58679478,47288353,47288352,257046572,53899760 Dl.O(d2) = 31224590,23741312,23741311,20266619,20266618,23741023,19671828,14101792,254678265,4002292,2398401,1387860,789287,447070,251575,251576,447072,789293,1387875,2398437,4002154,4002208,6379032,9698849,14101174,9699040,6379060,4002224,4002223,6379055,9699031,9699472,9698452,6378726,6378725,9698481,6378849,6378851,9698682,14100582,9698470,9698468,14100401,14100347,9698320,9698319,11486149,16485367,18272700,19670472,26404629,19670333,19670332,26404626,26404726,268494343,13798792,10614827,10614826,15363477,21337166,28564018,28650436 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7840591, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6434307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6434307, s2 = 11843231, int(edited[s2]) = 0 s1 = 6434307, s2 = 11843231, d1 = 89, d2 = 54 Dl.O(d1) = 254338125 Dl.O(d2) = 84068972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6434307, s2 = 11843231, dlinesl.size( ) = 2 s1 = 6434307, s2 = 11843231, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6434307, Dl.E( ) = 128, 3.81e-05 seconds used appending s1 = 13960097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 544428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 544428, s2 = 290162, int(edited[s2]) = 0 s1 = 544428, s2 = 290162, d1 = 10, d2 = 12 Dl.O(d1) = 13837851,9713676,9713679,14118735,14118882,14118884,19691577,23924807,17583730,17583729,23924796,21766503,15709640,10875112,7190187,4529843,2722995 Dl.O(d2) = 7190126,10875024,254895595,7190156,4529880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162370, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6420857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6420857, s2 = 14282451, int(edited[s2]) = 0 s1 = 6420857, s2 = 14282451, d1 = 7, d2 = 8 Dl.O(d1) = 254122325,287015,158605,158606,287017,254122327 Dl.O(d2) = 78625729,65552669,65552668,76812895,63711878,51905313,51905312,63711874,76812893,90681400,76813116,63712078,51905460,41605715,32702603,32702604,41605716,51905464,63712082,60486168,60486169,73233053,63709768,51902982,41603118,32700304,25016930,254903852,41603112,51902973,47356659,47356658,58744011,71473543,63711827,51905276,41605588,32702522,32702521,41605584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6420857, s2 = 14282451, dlinesl.size( ) = 2 s1 = 6420857, s2 = 14282451, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6420857, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 7830501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7830501, s2 = 7842114, int(edited[s2]) = 0 s1 = 7830501, s2 = 7842114, d1 = 58, d2 = 118 Dl.O(d1) = 5078675,3080464,1797833,1797831,3080461,5078671,5058204,5058203,254490894,16980149,17038063,13410177,9168663,9168664,11930536,7983706,5081183,3081832,3081833,5081186,7983717,11930552,17015245,23240410,23243331,17006075,11919444,11919443,12149405,17270620,17003685,17003687,267902902,16980377,11893759,11893758,16965783,17005378,17005377,17028094,11973427,8018691,8018692,11897642,7956278,7956276,11897638,11691297,7797381,7797385,5074235,5058534,5058512,3064688,1786465,254253003,2852353,2773387,1608635,915196,254099401,254099403,915198,1608637,2773396,3227156,254231503,1595429,2752208,2774760,1874277,1874278,2774484,4608629,3225471,1890871,1079004,606024,605688,605685,1078427,1878974,1072922,1072921,1880667,3210927,3235790,1898218,1083468,1083469,1898220,3235793,2783980,254164419 Dl.O(d2) = 1740158,989090,556431,311172,311147,172007,172009,311155,556401,989018,1740426,2993271,4957878,5299433,3267364,1920744,1097237,1097236,987807,555748,310827,171847,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906791,3248129,3218564,1885927,1885928,1610316,916210,916211,1610318,1743803,1675480,953276,953275,1675478,2886814,3206440,1877756,1877755,1877772,1877774,1617737,1617738,2788391,4628840,4791413,5861920,7577469,7577470,7574588,4790682,2887716,1676016,1676018,2887724,4790700,3289488,3289486,5258123,3213972,1882755,1074228,603527,336049,184738,184735,336040,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,1676852,1487774,841815,841818,1487779 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10138691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9660012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9660012, s2 = 125594, int(edited[s2]) = 0 s1 = 9660012, s2 = 125594, d1 = 25, d2 = 17 Dl.O(d1) = 1741123,1773459,3045023,5030178,7912724,11839890,8231255,8231254,12151294,8181424,8181425,8166782,5236504,254520833,2996387,1740133,988858,988857,1740132,254234139,254123155,518959,920324,1617949,1075570,604216,336370,336369,604210,1070458,601533,335032,335037,601499,601494,1070373,1876270,3204144,4629000,2788511,2788510,4628995,5270574,3225121,1890642,1078874,605943,337199,254104685,254263761,1875264,3202640,3229066,5256777,5257119,4613072,254233391,1611457 Dl.O(d2) = 2786564,4626590,254761317,7795243,4942888,4942889,4792551,4792550 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7811779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655524, s2 = 10371057, int(edited[s2]) = 0 s1 = 11655524, s2 = 10371057, d1 = 7, d2 = 5 Dl.O(d1) = 254813529,6848446,5548490,3434103,3434104,5548491,6013776,4474478,2688157,2688158,4474480,7107039,8531375,8531377,8484461,5485103,5485102,5485089,5485090,8484453,8505390,5505766,5505761,8497109,5532988,5532987,8534838,8613642,5598907,3475387,254421831,5598927,5527873,3413871,3413869,3413861,3413848,3413846,5509467,5509468,8508956,5539686,3424911,2023402,2023400,3424909,5539680,8484048,8484046,5554355,5554356,8557456,8496473,5497863,3387667,1995667,1140481,639787,267756085,1135088,636906,636905,1135085,1164531,653511,653514,653505,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,1153689,1152006,646248,358608,196391,107156,107155,196388,358601,646240,1151980,2014070,2008052,2008053,3397136,3386501,3386499,5496612,5497853,5497855,8496463,5551858,5551860,8554713,6014785,3762143,2253819,1308049,746751,424373,424372,746749,1308043,2253807,3762130,6014780,5517977,3404669,2007995,1148104,1148103,2007992,3404666,5517973,7894048,7894049,7894050,8494904,5541808,3427181,2025437,1159295,650435,360763,360764,650437,649982,649981,1158465,1989639,2024251,254416025,5529848,5529847,5486472,5486473,5523249,5545313,5523753,3410367,3410369,3286378,1932604,1932603,254399559,5496567,7897045,5018019,3035857,1767102,1006938,1006939,1767104,3035858,5018023,5536712,3422197,3402630,2006494,254174051,567476,317829,317830,567479,1006941,1767108,254279719,3383154,3383153,3383152,3302117,1942151,1942150,3302115,2059092,2059094,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2030692,2030693,3379664,1989794,1989795,3379034,3458558,3784336,2267247,1315259,750662,750661,1182700,1769252,1769253,3038657,3414997,3414996,5529102,5558107,5528432,3414312,3414313,5014743,3454487,2047326,2047324,3454481,5499527,3453340,2046333,1173355,658667,658663,659222,1109375,622582,346018,346014,622600,1109398,1764890,2045474,3039118,1769607,1008516,568416,568417,1008520,1769616,3039139,3401250,5514248,5572051,5572073,3456231,3456232,5020754,5020753,3275734,1926707,1926706,3275732,3037767,3037750,1768510,1007840,1007838,1173156,1173154,2046047,3426077,3426078,2732708,1583508,1583507,1583500,1583502,254341935,1583718,1583717,900426,507946,284832,254078249,47531,47533,254078251,284845,507968,900460,1583858,2733338,3038745,3038743,5021024,7899747,11821460,10910911,7216039,254512133,4546661,7216044,10910916,15754725,21821204,21821205,29128039,21838739,21838740,29146555,25228470,18660171,18660172,254670748,18985307,25595046,22250572,22250573,16669094,11634654,7750863,7750862,11634652,16669091,21914577,21914576,15831813,10971355,7262061,7262060,10971353,11139410,7388583,4667697,2811981,1631270,1631266,927672,927666,1631360,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161 Dl.O(d2) = 2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,6409530,4021083,4021085,6409541,9747711,7434933,4698141,4698142,7434939,11205146,16130254,15960822,15960825,14173076,14173077,11206453,11206454,11206641,7435868,7435867,11206636,16132361,16131436,11206002,7435504,7435506,6408241,6408242,7435380,7435355,4698358,4698353,4698037,4020399,4020401,6408392,6429276,7094681,7094683,6406869,4019515,4019519,6406886,6887888,6887892,9777705,13491101,13491103,14173553,9743933,9743931,14173544,14179668,13489674,13489675,13493460,9231614,9231615,7435854,4698636,4698634,7435844,11206596,16132300,22274575,26662730,22274645,18842768,18842769,18842762,18842763,14224079,9778448,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1642419,2830819,2830822,2975683,3021366,4999900,7875199,11793100,16860907,23120805,30539745,25683451,25683452,33455096,40790417,32033404,32033403,33588985,25793214,25793215,33383316,25617513,25617512,32033385,24470951,18050818,18050820,19199602,25856425,19502361,13958728,13958729,16809703,15864185,10995499,10995496,15823801,19199868,19199867,19199611,13712226,11062674,7335159,7335162,11062682,15942173,19199699,25856561,33662443,40724409,40724410,50828355,44783446,256237751,25753260,19115146,13647516,9345320,6121172,3829779,2294479,2294478,3829777,6121168,9345313,13647508,268303699,25753243,33541771,42558062,52997934,64972876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655524, s2 = 10371057, dlinesl.size( ) = 2 s1 = 11655524, s2 = 10371057, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11655524, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 16171245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16171245, s2 = 1049955, int(edited[s2]) = 0 s1 = 16171245, s2 = 1049955, d1 = 39, d2 = 18 Dl.O(d1) = 257099698 Dl.O(d2) = 26670916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16171245, s2 = 1049955, dlinesl.size( ) = 2 s1 = 16171245, s2 = 1049955, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16171245, Dl.E( ) = 58, 2.31e-05 seconds used appending s1 = 7910330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8208862, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 127005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7803342, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 195466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 142101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13195403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6486708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6486708, s2 = 14369389, int(edited[s2]) = 0 s1 = 6486708, s2 = 14369389, d1 = 6, d2 = 3 Dl.O(d1) = 255100025,7585063,4797628,4797627,7015607,4411272,2645087,1684713,957931,539772,302477,302478,539782,957960,1684759,2904336,4819551,7617381,7617489,11452290,11452632,14596064,10043409,10043411,14596073,14505164,9981076,7851337,4983693,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411 Dl.O(d2) = 3010431,3010432,4983846,7851962,11760280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6486708, s2 = 14369389, dlinesl.size( ) = 2 s1 = 6486708, s2 = 14369389, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6486708, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 13314743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6447114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6447114, s2 = 6760711, int(edited[s2]) = 0 s1 = 6447114, s2 = 6760711, d1 = 8, d2 = 12 Dl.O(d1) = 254543171 Dl.O(d2) = 258164889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6447114, s2 = 6760711, dlinesl.size( ) = 2 s1 = 6447114, s2 = 6760711, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6447114, Dl.E( ) = 24, 1.69e-05 seconds used appending s1 = 7639436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7639436, s2 = 10346138, int(edited[s2]) = 0 s1 = 7639436, s2 = 10346138, d1 = 22, d2 = 45 Dl.O(d1) = 270448808,254362699 Dl.O(d2) = 255109929,255933185,258750840,43859610,43859609,54602514,258127490,37167347,28650303 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6761650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6761650, s2 = 11030584, int(edited[s2]) = 0 s1 = 6761650, s2 = 11030584, d1 = 10, d2 = 10 Dl.O(d1) = 258173750,29814746,255474147,11318681,11318392,254546292,1704059,968615,545550,305589,305588,545548,968611,254364729,7705863,11577037,16599579,255940225,38795408,257564885,256983886,38795408,48716595,258797099,100397744,112956960,112956959,126811170,114421315,112956960,259323963,85042458,98967575,112956961,261121511,262185448,141191774,260539096,259323965,85042458,98967575,260543669,259696159,78366690,78366691,257821813,53098988,65084738,53098986,42648357,42648358,53098988,258438939,257821811,255688703,9375084,9375083,13689369,19170093 Dl.O(d2) = 258173750,29814746,255474147,11318681,11318392,254546292,1704059,968615,545550,305589,305588,545548,968611,254364729,7705863,11577037,16599579,255940225,38795408,257564885,256983886,38795408,48716595,258797099,100397744,112956960,112956959,126811170,114421315,112956960,259323963,85042458,98967575,112956961,261121511,262185448,141191774,260539096,259323965,85042458,98967575,260543669,259696159,78366690,78366691,257821813,53098988,65084738,53098986,42648357,42648358,53098988,258438939,257821811,255688703,9375084,9375083,13689369,19170093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6761650, s2 = 11030584, dlinesl.size( ) = 2 s1 = 6761650, s2 = 11030584, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6761650, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 13375977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13375977, s2 = 8082011, int(edited[s2]) = 0 s1 = 13375977, s2 = 8082011, d1 = 8, d2 = 13 Dl.O(d1) = 11632692,7749587,4907892,2958218,2958219,2958228,1715277,1715276 Dl.O(d2) = 48801720,60198532,48801716,48801715,60198530,65774406,53716990,53716989,65774404,79129702,71546441,58818050,47431599,37524083,28980349,28980348,37524080,47431596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13375977, s2 = 8082011, dlinesl.size( ) = 2 s1 = 13375977, s2 = 8082011, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13375977, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7808079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7808079, s2 = 14237824, int(edited[s2]) = 0 s1 = 7808079, s2 = 14237824, d1 = 56, d2 = 38 Dl.O(d1) = 1724319,2971515,4926751,7774513,11663802,15994718,15994717,22105860,16703927,11663833,7774535,4926765,4926764,7774529,11663829,11995162,17082925,254246596,17685291,267767642,11660068,254127104,4926800,2971552,267753132,551977,308951,308950 Dl.O(d2) = 33816205,33815741,255698064,25999072,26129462,19434574,13906221,13906223,19434575,26129466,19434581,19434580,26129478,22941883,16706045,16706046,22941887,19326701,13820404,9478402,6215170,6215169,9478399,6215205,3890174,2329200,2329201,1349987,1349986,2329215,3890199,6215251,9478550,13820663,19327093,13820625,13820624,19327088,255951265,255698125,19327066,25999174,33816176,42857671,33816241,25999222,19327104,13820632,13820631,19327101,25999217,33816235,33816238,33816237,25999218,256165673,38929272,48849277,48849106,38931696,30345778,22944422,22944421,19326673,13820386,9478388,6215159,3890150,2329190,2329189,254456427,9478376,13820363,19326644,19326663,25998551,30345609,256995697,38929273,268653037,255507301,16706096,16706106,16708351,16708352,16710021,22946268,19327197,19327198,16705670,11665492,7776109,7776107,11665503,13359270,13359269,16706246,11669081,11669083,16705485,15634613,15634567,10820105,10820104,15635732,17989636,16705524,11665409,11665408,16705522,255507217,7776051,4928012,4928015,7776053,8950470,13132805,12137914,8167870,8167871,8192430,12161929,15639195,10822297,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941127,25091378,22941119,20237833,14522042,10819331,7150340,4502862,2705910,2705909,4111925,2459673,1888359,1888361,3221991,5267292,8197243,12165919,17286914,23599483,21463097,15462523,15462524,21463100,22680404,16482616,16482618,22680406,25926582,19264692,19264690,21530873,16104191,11186127,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164058,3856986,3856987,6164069,9408130,13733103,19224552,25884152,32327212,24711968,18239999,18240000,24711969,32327214,41141584,47940380,47314159,37405305,37249532,28719249,28719248,37250111,28944112,28944113,28863593,21589311,21589312,23305731,17044760,17044761,23305734,28863597,28863598,28863414,21589141,15563313,15563314,16557766,16557767,22772138,30160567,255068652,36717204,28298264,28298263,36795438,36876399,28379834,21162379,15205982,10488724,10488722,15205977,21162369,22073170,15968138,11083600,7349819,7349820,4652624,2802776,1625902,924533,521191,521190,924530,254190850,4652576,7365147,11105422,15997133,22108719,24156287,24168132,17800549,12600589,8550985,8550987,12600596,17800559,24168142,24081311,24081310,31586870,38820834,44349530,34972091,28267359,21064554,21064555,21794191,21062521,21062522,21067895,22974122,16737504,11693713,7798963,7798962,11693710,16737496,21795014,15737683,10899491,10899490,15737677,21064048,21064047,21797083,24149537,18832822,13418060,9174312,9174310,13418051,14331990,13417904,13417905,12008163,12008165,15738741,255125998,36811784,46694947,48323671,38412614,29840247,28472638,28472639,22229236,17089464,17089465,22230362,22230363,27096482,27096483,21105367,15160359,15160357,11179371,11179370,15151349,15151348,21093400,28086093,20912927,15007810,10337878,6805156,4267886,4255763,2564303,1476659,834967,470642,470641,831498,1291646,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,3708566,2220925,2220922,1478244,1288290,735514,418183,418179,236614,130531,70753,70754,130538,236630,419349,737832,1292813,2229266,254440835,2557279,1472935,833030,833031,833019,833020,1472919,2557254,4277204,6818626,10354263,15026425,20934517,28111226,29671421,22320163,22320164,28299400,23612590,255808001,15152372,267994658,6888785,9966851,7352257,7352259,10450240,10449719,10449720,11917711,15150071,14571337,14571336,20304213,256764011,257171592,81576486,258374960,68086529,55688322,44780435,44780436,55688324,270675817,271019958,95610299,81576488,68086530,68086531,81576490,260418189,137630210,259629288,271019956,109813711,109813710,261569809,146248668,260842076,104984527,271522145,123951326,137630212,150626655,162724629,262447896,272231311,261568768,114563079,100532603,100532602,114563077,128446859,141799941,154446757,166182161,162724627,162724626,262447894,273140206,128446865,141799948,154446762,141799950,128446867,114563085,100532607,86571668,72973815,258807009,260047791,128446868,141799953,154446767,155732350,167366460,177863063,262757966,167366454,261835685,129847410,261835683,167366452,273162201,155732348,143178534,129847412,115947810,260720589,262814715,187135280,195206700,195206698,187135277,177863058,167366455,272604133,143178531,272901201,273386065,195206696,201405004,274000319,201405005,194387036,263932944,128446864,141799946,261854771,260741513,102243600,116338977,128446860,128446861,261770407,166182163,273502640,130178898,116338979,102243602,102243601,116338978,272272393,156048002,262831119,263038420,152173639,164051359,272975326,158622987,272099398,98245004,98245003,112223190,126078991,261005562,259804100,63708286,63708285,76810211,70778845,258649739,98245005,104847453,90679116,270151330,51900937,41600884,269063217,258996187,260239999,262442451,263321039,187135281,262814717,155732351,155732352,262343245,263242931,263628125,177863065,262343243,129847415,129847416,143178539,129847419,115947815,101902119,87928544,87928541,258262631,50070924,50070925,61549347,74325700,87928543,101902117,260720591,115947812,101902114,87928537,74614726,74325701,258885159,258262633,50070927,61549349,74325704,87928539,74325698,61549344,50070923,257071011,40051158,50070921,61549342,270386447,87928547,87928546,101902113,87928536,74325695,258885157,65906505,65906506,79268603,77770808,259042369,98828479,84901969,84901968,86571665,72973811,257575535,38922113,30335883,30335884,38922116,48842662,269832437,64587967,52687482,52687483,58595724,58595723,71328730,270871098,48842667,48842666,258183669,48842660,60236922,72973814,77770811,77770810,91698284,86574011,72976776,257575729,256995349,38922119,30335886,22935138,16700261,11660818,7772117,7772118,11660820,16700264,16703659,16703658,20304668,20304670,27234008,35356660,35356702,41703430,32788031,25090305,25090306,255077310,39035656,39035657,31096102,267976608,17299282,17299281,20227097,27132926,25087764,18542849,13175531,13175530,18542847,25087761,32785638,41701939,48323786,47807271,37883855,29315053,21986918,16302587,16302586,22472032,29839671,38412287,46692872,36809414,36809416,37892011,37017053,28519008,28519007,37017047,38845194,30261729,30261728,38845192,37433038,28891461,28891462,37433040,47340676,38620094,30046316,22671034,22671035,30046318,28710500,28271437,28271435,21614624,21614622,28890743,30374455,33648979,254829652,13705708,9387367,9387368,11584314,7710654,254364957,1705063,969255,545904,305768,305769,545907,969258,1705068,2940298,2940276,1705056,1705058,2940280,1998900,1998901,3391808,5502215,8500539,12539306,14177878,19793563,22830737,30222889,30222870,30222869,30222464,30222463,38805893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7808079, s2 = 14237824, dlinesl.size( ) = 2 s1 = 7808079, s2 = 14237824, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7808079, Dl.E( ) = 60, 2.41e-05 seconds used appending s1 = 13314557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13314557, s2 = 11420164, int(edited[s2]) = 0 s1 = 13314557, s2 = 11420164, d1 = 31, d2 = 23 Dl.O(d1) = 4935443,4940109,4931666,2974965,2974966,2981533 Dl.O(d2) = 258271021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13314557, s2 = 11420164, dlinesl.size( ) = 2 s1 = 13314557, s2 = 11420164, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13314557, Dl.E( ) = 50, 2.19e-05 seconds used appending s1 = 133664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655674, s2 = 6291726, int(edited[s2]) = 0 s1 = 11655674, s2 = 6291726, d1 = 18, d2 = 21 Dl.O(d1) = 994687,254172653,254350142,3011743,1749328,1624400,1624399,2800238,2800193,2800191,4648558,4648383,4648381,2800189,2800188 Dl.O(d2) = 175995329,185469917,193738288,273714395,200828983,206813193,211758145,215798881,219140649,221961948,224384777,226488997,228322077,229930761,231358163,232636926,233792307,234843524,235801130,236673581,237468772,238190918,238848536,239452806,240011313,240529191,241009946,241454799,241867656,242248450,242600978,242929181,243234903,243520779,243786364,244032734,244261846,244474717,244673711,244859353,245034204,245198023,245034205,245034204,245198022,245351415,245495787,245631579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655674, s2 = 6291726, dlinesl.size( ) = 2 s1 = 11655674, s2 = 6291726, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 11655674, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 10150222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10150222, s2 = 13405410, int(edited[s2]) = 0 s1 = 10150222, s2 = 13405410, d1 = 59, d2 = 41 Dl.O(d1) = 255420793 Dl.O(d2) = 50063114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10150222, s2 = 13405410, dlinesl.size( ) = 2 s1 = 10150222, s2 = 13405410, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10150222, Dl.E( ) = 96, 3.5e-05 seconds used appending s1 = 9372058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9372058, s2 = 83951, int(edited[s2]) = 0 s1 = 9372058, s2 = 83951, d1 = 1, d2 = 1 Dl.O(d1) = 33623730,33623731,42652092,49438488,49438487,60840183,73589846,76451882,63407881,51664529,41422580,41422581,255632672,51600324,256091544,73620444,72344480,59610175,59610174,57662174,57662173,70351981,83876900,71945721,71945722,85533650,99480128,113490756,127360440,140716445,153398081,165201153,158106554,158106555,164389746,152525919,152525918,152525921,152525920,152525925,261099370,126435207,139808496,126435200,126435199,139808494,139808506,126435210,261099001,132157430,118342690,104185942,90056848,76248506,63233522,63233523,76248509,90056853,90056865,90056864,104185950,118342696,118342695,260520944,90056858,90056859,104185947,118342697,132157433,135638421,121694471,107313224,92908477,78802409,72969979,65472407,53452719,50436511,40402380,40284567,31599958,31599959,255583389,17737857,24096075,17737719,17737718,24096073,31599650,24095741,24095740,31599646,31599633,24095724,24095726,31599636,40284180,40284473,50305309,50307513,268254956,74572520,74572519,88184454,86634961,86634962,100601843,102175673,258659986,74347569,87949796,85837763,72245850,59511280,59511279,61539929,71010474,60374913,48978324,48978325,49745033,39725770,39725771,39725861,39725862,49745163,48900840,48900841,60295502,72083410,63710718,51904123,41604342,39849482,39849481,49871775,61353569,61836737,61232623,61232622,61224750,49745199,39725892,39725893,40325530,40325529,50352516,49745128,49745127,39725906,39725905,49745212,61224636,49745050,39725790,31047056,31047055,39725784,31636340,24129164,24129165,31636346,40325781,40325792,50352815,61836905,61836687,50352507,40325527,40325528,50352512,61224647,49745058,48294019,48294015,59680947,60696729,60696731,73444609,61836842,50352704,50352705,61836844,74022996,71477662,58748469,58748468,47361569,37455414,37455413,37455417,33006972,255825746,28001186,21641702,20836923,20836921,28001740,36460533,46313249,48386081,38483370,38483371,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36459478,46312232,57656622,57656858,46312514,36459716,36459714,46312512,37949300,29384722,22054677,22054678,29384724,37949305,37949390,29384769,22054705,22054706,29384770,30594738,23175894,16911537,11835342,255136163,255135997,254814385,7908514,7908431,5027226,3043059,1772121,1772120,1009997,1009996,1772110,3043044,3043287,3043288,3043397,1772352,1772353,1772093,1009938,569140,569137,569547,318987,176320,96909,96910,176323,318993,569556,569542,318984,176318,96908,96906,96907,176317,318982,319076,569631,569630,569414,318906,318907,569418,1010364,1772678,3043541,1772796,1772795,1772891,254375563,5028552,7910131,11834601,7910593,5028906,5028907,7910595,11836543,16913112,23177826,268381341,15334243,15334244,21303035,28521325,28521324,37019231 Dl.O(d2) = 33623730,33623731,42652092,49438488,49438487,60840183,73589846,76451882,63407881,51664529,41422580,41422581,255632672,51600324,256091544,73620444,72344480,59610175,59610174,57662174,57662173,70351981,83876900,71945721,71945722,85533650,99480128,113490756,127360440,140716445,153398081,165201153,158106554,158106555,164389746,152525919,152525918,152525921,152525920,152525925,261099370,126435207,139808496,126435200,126435199,139808494,139808506,126435210,261099001,132157430,118342690,104185942,90056848,76248506,63233522,63233523,76248509,90056853,90056865,90056864,104185950,118342696,118342695,260520944,90056858,90056859,104185947,118342697,132157433,135638421,121694471,107313224,92908477,78802409,72969979,65472407,53452719,50436511,40402380,40284567,31599958,31599959,255583389,17737857,24096075,17737719,17737718,24096073,31599650,24095741,24095740,31599646,31599633,24095724,24095726,31599636,40284180,40284473,50305309,50307513,268254956,74572520,74572519,88184454,86634961,86634962,100601843,102175673,258659986,74347569,87949796,85837763,72245850,59511280,59511279,61539929,71010474,60374913,48978324,48978325,49745033,39725770,39725771,39725861,39725862,49745163,48900840,48900841,60295502,72083410,63710718,51904123,41604342,39849482,39849481,49871775,61353569,61836737,61232623,61232622,61224750,49745199,39725892,39725893,40325530,40325529,50352516,49745128,49745127,39725906,39725905,49745212,61224636,49745050,39725790,31047056,31047055,39725784,31636340,24129164,24129165,31636346,40325781,40325792,50352815,61836905,61836687,50352507,40325527,40325528,50352512,61224647,49745058,48294019,48294015,59680947,60696729,60696731,73444609,61836842,50352704,50352705,61836844,74022996,71477662,58748469,58748468,47361569,37455414,37455413,37455417,33006972,255825746,28001186,21641702,20836923,20836921,28001740,36460533,46313249,48386081,38483370,38483371,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36459478,46312232,57656622,57656858,46312514,36459716,36459714,46312512,37949300,29384722,22054677,22054678,29384724,37949305,37949390,29384769,22054705,22054706,29384770,30594738,23175894,16911537,11835342,255136163,255135997,254814385,7908514,7908431,5027226,3043059,1772121,1772120,1009997,1009996,1772110,3043044,3043287,3043288,3043397,1772352,1772353,1772093,1009938,569140,569137,569547,318987,176320,96909,96910,176323,318993,569556,569542,318984,176318,96908,96906,96907,176317,318982,319076,569631,569630,569414,318906,318907,569418,1010364,1772678,3043541,1772796,1772795,1772891,254375563,5028552,7910131,11834601,7910593,5028906,5028907,7910595,11836543,16913112,23177826,268381341,15334243,15334244,21303035,28521325,28521324,37019231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9372058, s2 = 83951, dlinesl.size( ) = 2 s1 = 9372058, s2 = 83951, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9372058, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 13163841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13238705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13181217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13185957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13185957, s2 = 14352431, int(edited[s2]) = 0 s1 = 13185957, s2 = 14352431, d1 = 72, d2 = 16 Dl.O(d1) = 5067862,5067863,7965801,11909040,11598382,7720740,4886834,4886835,4515882,4515881,3071738,1791325,1791326,254377841,1789130,1020175,1020174,578326,578328,1026478,1027378,1021883,1021885,1027365,1791725,1791723,1778987,1778986,3053434,3090556,5092609,267976896,3086907,1806715,1806716,3092319,5043265,3053774,2867189,1790522,1021089,575366,575367,1021090,1013610,1013609,1777923,1806766,3092334,1806732,1031873,581524,325199,325200,581527,1031878,1789406,1792148,1022145,1022144,1783572,1783571,254129705,322399,322397,576148,1022521,1781194,1802413,1783343,1017044,573259,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177970,177968,321900,575141,504639,504640,894498,1573181,1027058,1025231,1025229,894371,504569,504570,894373,1572978,254252293,267794759,1782159,1782160,1789468,1789467,254377891,1789476,1020416,1020414,1789472,3069331,5065039,267836543,3052581,3091309,5093484,8000941,11870070,11678684,7787165,4936943,4936941,3063827,1786018,1728073,1728072,2977306,4934646,5078452,5078451,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,5056564,3063463,3063462,5041545,5041546,7930532,5049000,3058943,3058946,3091519,5093770,8001364,7783656,7783657,5067185,3071121,3071123,5067192,7949454,5055611,5055613,7949465,11689565,11865884,7930486,5044364,3054812,3054809,2977653,2977652,4935122,7784017,7784018,7930589,11676435,7993413,7993414,7933674,5044354,5044351,254805391,16720835,11679163,7787639,4937357,4937356,7787637,11673644,7787613,7787614,7795980,7795979,7787210,7787213,4944911,4944910,7780864,7780866,4935252,4933824,4933821,2977165,2977164,2983606,2975623,1726965,1726964,2975619,4932499,4933545,4933547,7783305,7784966,4936766,4936767,4936748,4936749,4932765,4932764,254804645,4937111,2979050,1729246,1729245,2979048,4937109,4944888,5073051,3076001,1794616,1023843,983149,553503,553502,983148,1729439,2979323,4937445,4932849,4932850,4933829,2976594,1727569,1727570,1727831,982217,982216,1727828,2976977,4934259,4935409,7784986,4935089,2977624,1728273,1728274,2977630,2975853,1727097,981850,552843,309419,309418,552838,981840,983040,553439,309705,309704,553435,983030,1728407,2977849,3058544,2977447,2977446,4931487,2979013,2974959,1727849,982227,553005,553006,982229,982990,982989,254171829,982858,983778,553834,309924,171427,171428,309925,553837,983782,1730507,2981058,4940110,7791463,11116521,7781095,254368993,1726532,254127199,309350,309349,552703,981574,1726524,2974951,2982309,1731203,984154,984153,981540,981539,1726465,1726813,981715,552772,552773,552793,981744,1726839,984939,984937,1732481,267834481,2979764,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936553,4941028,7792738,4942674,2982774,2982775,4942677,5541252,4931910,4931909,4944540,4944541,7797268,11691191,16727637,11684937,7791973,7791974,11684915,11688322,11688321,11678179,7786674,7786673,7792687,11677206,11677205,16718954,22954689,16718096,11676212,11676211,16718093,13410217,9168698,6000986,5135867,5135866,8045658,11993885,16727856,16727857,16960373,17522927,12357498,12357500,16961373,16961372,11873434,8002395,8002394,11868760,10472713,6905234,4337116,4337117,6905242,7406109,4679094,4679095,7406113,8352707,8352708,11932343,11877893,7940430,5049993,5049992,7940423,11877879,12355687,12355689,16968116,11887648,7947753,5054369,5054368,7947749,11887640,11895824,7954703,7954705,7956613,5060781,5060780,7956268,7956267,7797374,4944619,4944622,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315290,5391446,8080443,11873482,11874922,7938122,5048224,5048226,7938129,11874929,11690030 Dl.O(d2) = 86480747,255118038,48754933,38834882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13185957, s2 = 14352431, dlinesl.size( ) = 2 s1 = 13185957, s2 = 14352431, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13185957, Dl.E( ) = 80, 2.48e-05 seconds used appending s1 = 6436604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13247221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14032421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9059889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9059889, s2 = 139976, int(edited[s2]) = 0 s1 = 9059889, s2 = 139976, d1 = 1, d2 = 1 Dl.O(d1) = 40953113,51096200,258328687,51999589,41688117,32771651,32771650,41688116,46783874,52055524,41740859,32819897,25115884,18565176,18198759,18198757,24657455,32257596,41051650,48358226,38456529,29899721,22544171,16368549,11391278,7568299,7568300,11391281,16368554,22544180,29899737,38456547,38456545,37209990,29899710,29899708,38456513,42630372,42630371,52407334,42063651,33114794,25379568,25379569,33114796,42063654,51441567,63140577,76148131,89955800,104086636,115923490,101876416,87902030,74298195,61520501,50041248,40021543,31342034,23849010,17506763,12344515,8339890,5382951,3310167,1947391,1112450,624222,346887,190208,103873,57102,32126,18471,18469,32118,57089,103845,168659,168655,304666,543676,964799,1696736,2924995,2541868,1464449,1464450,1697831,2926925,4856927,5373530,3304202,3304201,5373528,8326160,5939120,5939118,9080962,13299387,18692507,20930631,15022635,14984384,14984383,20887513,20895349,14991456,14991455,12657788,12657787,10356945,6820951,6820952,6820958,6820959,10356954,6821797,6821800,9095214,6841906,4293054,2566697,1477886,1477887,2539802,1463388,1463387,2539798,4248159,6777373,10305698,9074095,5934066,3710408,3705301,2219120,2219121,3705304,2542525,1464836,1464837,2542528,4252977,3714792,3714793,5940866,4587376,4010122,3702334,3702335,5920899,4259194,2546261,2546259,4259202,6767696,10294369,6830148,4285096,2758934,2758935,4585814,4282690,4282691,6746725,6746727,5950580,5950582,9095535,10988979,10315127,10315125,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,5951918,9097204,9097282,9097280,10280645,6756787,5584843,3464950,2054773,1178865,1178863,2054764,3395249,3395251,3327507,3327511,4703140,2833333,1643739,934657,526730,295130,295128,526716,934623,1061849,1860673,3178697,5210193,8132376,12092945,17197526,23480618,30917599,39527880,38785539,38785540,256439238,255496858,39278366,30681418,23264761,17001006,17001007,23264763,30681419,26950847,20066248,14382193,9887759,9887760,14382196,20066236,15724374,15724378,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,14359858,14359862,20045102,26930860,29577550,29577549,35038799,254968910,254968912,29494359,255593760,10569903,10569901,13522923,9254397,6060962,3792189,2271581,1317417,254113459,254113457,1317414,2271571,3792162,6060901,9254297,13522807,18958947,25568924,18964854,13529326,13529324,18964853,15272919,13490885,10558690,10558692,15294144,12395700,8377069,8377072,8078288,7842584,7842583,10564825,12056214,13534238,13534240,13537873,13537875,15257936,15257935,10842585,7167771,7167768,10842573,8362105,8362103,12374613,9237938,9237940,10543294,6953223,4368948,4364999,2615667,2615664,4364987,6946083,8103557,5192125,5192123 Dl.O(d2) = 40953113,51096200,258328687,51999589,41688117,32771651,32771650,41688116,46783874,52055524,41740859,32819897,25115884,18565176,18198759,18198757,24657455,32257596,41051650,48358226,38456529,29899721,22544171,16368549,11391278,7568299,7568300,11391281,16368554,22544180,29899737,38456547,38456545,37209990,29899710,29899708,38456513,42630372,42630371,52407334,42063651,33114794,25379568,25379569,33114796,42063654,51441567,63140577,76148131,89955800,104086636,115923490,101876416,87902030,74298195,61520501,50041248,40021543,31342034,23849010,17506763,12344515,8339890,5382951,3310167,1947391,1112450,624222,346887,190208,103873,57102,32126,18471,18469,32118,57089,103845,168659,168655,304666,543676,964799,1696736,2924995,2541868,1464449,1464450,1697831,2926925,4856927,5373530,3304202,3304201,5373528,8326160,5939120,5939118,9080962,13299387,18692507,20930631,15022635,14984384,14984383,20887513,20895349,14991456,14991455,12657788,12657787,10356945,6820951,6820952,6820958,6820959,10356954,6821797,6821800,9095214,6841906,4293054,2566697,1477886,1477887,2539802,1463388,1463387,2539798,4248159,6777373,10305698,9074095,5934066,3710408,3705301,2219120,2219121,3705304,2542525,1464836,1464837,2542528,4252977,3714792,3714793,5940866,4587376,4010122,3702334,3702335,5920899,4259194,2546261,2546259,4259202,6767696,10294369,6830148,4285096,2758934,2758935,4585814,4282690,4282691,6746725,6746727,5950580,5950582,9095535,10988979,10315127,10315125,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,5951918,9097204,9097282,9097280,10280645,6756787,5584843,3464950,2054773,1178865,1178863,2054764,3395249,3395251,3327507,3327511,4703140,2833333,1643739,934657,526730,295130,295128,526716,934623,1061849,1860673,3178697,5210193,8132376,12092945,17197526,23480618,30917599,39527880,38785539,38785540,256439238,255496858,39278366,30681418,23264761,17001006,17001007,23264763,30681419,26950847,20066248,14382193,9887759,9887760,14382196,20066236,15724374,15724378,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,14359858,14359862,20045102,26930860,29577550,29577549,35038799,254968910,254968912,29494359,255593760,10569903,10569901,13522923,9254397,6060962,3792189,2271581,1317417,254113459,254113457,1317414,2271571,3792162,6060901,9254297,13522807,18958947,25568924,18964854,13529326,13529324,18964853,15272919,13490885,10558690,10558692,15294144,12395700,8377069,8377072,8078288,7842584,7842583,10564825,12056214,13534238,13534240,13537873,13537875,15257936,15257935,10842585,7167771,7167768,10842573,8362105,8362103,12374613,9237938,9237940,10543294,6953223,4368948,4364999,2615667,2615664,4364987,6946083,8103557,5192125,5192123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9059889, s2 = 139976, dlinesl.size( ) = 2 s1 = 9059889, s2 = 139976, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9059889, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1243194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 140467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7969684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7969684, s2 = 14158173, int(edited[s2]) = 0 s1 = 7969684, s2 = 14158173, d1 = 59, d2 = 45 Dl.O(d1) = 256482560,10961112,7255432,5561452,3445738,3445736,2232158,2232160,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285754,509761,903836,914331,516003,516004,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892392,2774719,1609528,915764,915765,1609533,1873281,1607584,914542,516120,289644,160326,160325,289635,516098,914501,1607511,2771800,3212559,5256363,8172950,5242163,3200962,254233107,915382,516536,289845,289846,516538,289914,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882523,1074110,603466,336026,336029,516936,290054,160539,160540,160534,160535,290044,516919,603450,603446,1074077,1882646,254391977,4611685,254759617,7307668,7307669,8186058,5255461,3211743,3211742,5255460,5251159,3208469,1879620,1072338,602534,602536,1072343,1612683,917428,917427,1072502,1072501,1879909,2782881,4621442,2783676,2783674,4622747,4623083,2783902,1614769,1614771,1880440,1880437,2783417,4622307,5251946,7321331,7326250,7824917,7824920,5249968,3207491,1878419,1071644,602168,335352,184397,184400,335362,602189,1071692,1878509,2784229,2783510,2783512,3274985,1926331,1926330,3274980,2999136,1741794,1741796,2999142,4965655,7823896,5252129,4627082,3209644,3209642,4624478,4624456,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,4612862,4612864,3199949,1873398,1873400,1611110,1611111,2777202,3207413,1878381,1878383,3207419,3207595,3207598,5250104,7319534,11044668,8223450,8223452,7326266,7326268,7319983,7319985,11039276,8150968,5241666,4959951,4959954,7817758,8258693,12121848,11044894,7319882,5264049,5241567,3200434,3200433,5241574,8149767,5221268,5221266,8149489,5221089,5221084,8149472,5263912,3219027,1886228,1886227,1886241,1886239,3219046,5263947,7317130,8258709,8258708,12119022,12137860,12137861,12150502,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,3275214,5328216,3275126,1926407,1100694,1072720,1072722,1880344,3210495,2761335,2761336,4589744,5236840,8167120,8172343,5265371,5265373,8180713,5250282,3237518,3237519,5285055,8214462,12183467,11048159,8167695,8167696,255157701,17306708,17288393,17288394,12196044,12196045,12150825,12150824,8258492,5327958,3274939,3274940,5327960,8258495,8229218,5300605,3251445,1909323,1090247,1090246,1909321,3224534,3224533,5269925,4735874,4735873,267911013,5414790,4831914,2911599,1740571,1740572,2997034,3231372,1895067,1081571,1081575,1895082,3231398,5277603,5267346,3223829,3223831,5269118,3229269,1897585,1083101,1083100,1897579,1655408,941878,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1876044,3203745,1919199,1919198,1888547,1077600,605266,605265,1077599,1888544,3222257,1891716,1079512,254104719,185360,101418,101416,185354,337399,606305,1079482,1891654,3226536,267906781,5269283,267797901,1889789,1889788,254164231,517214,916693,1611256,2777424,3212712,1898285,1898283,3235912,4619739,4619740,2781756,1613597,917856,917855,1613591,2781746,4619757,3226678,1891767,1891768,1858367,1060548,596303,596302,1060545,1858359,3174479,3174618,2788545,2788547,4629056,5281041,7321499,7307599,4611613,2776600,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,3211233,5254827,5299937,3250834,1908886,1908885,3250831,5299933,7323736,4624739,2785067,1615442,1615443,2785070,2782039,1613764,917939,917941,918102,1612526,1612524,268407174,1072380,1072379,1879702,3209393,5252247,8182494,7313353,4616439,2779890,2779891,4616440,2780748,1613091,917618,517646,517645,254164331,2780719,4618019,5220824,4618907,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,11038287,7312743,7312744,5224968,5224970,7318526,7318525,11043839,8151038,7307015,7307017,7307039,10799796,10799799,8152273,8152272,11720657,7822796,4964715,4964713,7822791,11032662,254519513,1610619,1610617,916365,916366,1610643,2776475,3446128,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186087,1864492,1864491,3186083,4655472,4965771,4965769,7824029,8257812,5327378,5327376,8148958,5220694,3184722,1912512,1912513,3255751,5305173,7826091,5219237,3183807,1863301,1863300,3183803,3196767,3196769,1974522,1127229,632104,632105,1127234,1974532,3358651,5462433,5462434,7510934,4747824,3255616,1912422,1912420,3255612,5304977,5462270,5306535,3256692,3256693,5306504,3256672 Dl.O(d2) = 41108366,39175516,39175520,39769486,46908950,44355417,34977713,26898339,26898338,34977711,256518030,44355418,47452556,39769458,31090838,31090840,31090876,25192221,25192219,31090904,39769557,39769472,31090846,31090843,39769467,49789387,44551128,35173372,27084811,27084812,35173379,41827809,39175502,39175501,49105807,55397762,67736866,55397670,55397671,67736867,67736884,55397690,55397691,61732776,60446564,256456548,39869105,39869107,44550977,44550976,55397712,269079034,258401442,36540614,35173441,27084853,255334841,14483260,20186497,20901350,14996638,10327116,6795671,4261036,4261035,6795670,10327112,14996627,20901334,28073218,36540736,28073189,28073188,28073153,20901303,20901306,28073154,36540677,46401845,46401878,44551221,44551223,49951683,39934637,39934640,39458765,30854411,25494643,25494645,33245031,37768458,37768457,46401977,46402076,48237462,42206589,33245005,25494636,25494637,33245010,42206601,39934487,31259526,23774607,23774606,23774636,23774637,31259570,38259122,29693472,29693473,31259589,23774645,17445227,17445228,23774647,31259591,38327565,29757849,29757848,34315185,34315186,43416325,53942794,61743888,61429076,61429075,255987348,257616054,87575368,73977309,61199219,61199220,52567262,42206676,256489696,64442506,74207524,72270533,60514112,49111334,255152354,30584128,39181864,48149847,38240708,29675909,29675911,38240715,34315506,257201911,42191847,52550515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7969684, s2 = 14158173, dlinesl.size( ) = 2 s1 = 7969684, s2 = 14158173, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7969684, Dl.E( ) = 60, 2.5e-05 seconds used appending s1 = 6461390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6461390, s2 = 7830429, int(edited[s2]) = 0 s1 = 6461390, s2 = 7830429, d1 = 28, d2 = 32 Dl.O(d1) = 254754171,4575514,2752829,2752832,4575518,5232649,3193374,2752187,1595412,1595411,1595822,1595821,1975148,1127569,1127570,1975150,254408085,8456150,7254891,7130550,4489016,2696847,2696846,4489013,2752762,2699905,1689140,960581,541384,541382,960574,907245,907243,1595884,1888176,1888178,3221756,1892371,1892370,3227506,4604942,5267071,3243767,1903704,1903702,3200200,1873588,1068757,1068756,1873586,1874482,3201534,1889613,1078244,1078246,1077548,605819,337118,337117,605809,1078670,254181145,603767,603766,1074707,1077492,605196,336833,185099,101294,101296,185105,336845,185241,101359,55842,55843,100846,55620,55618,100814,100812,183977,334469,600407,1068337,1872939,3199279,5240211,254834283,4607644,254759135,11026129,7303997,7303999,5250385,3207789,1878607,1071738,1071739,1878613,1612539,917359,517529,290353,160700,160699,290333,160692,160693,290338,517507,917315,1612432,2779514,4615830,7312566,7319675,4621363,3228841,1893400,1080609,606937,606938,1080612,1893406,3228854,5221760,5221761,3207918,3207917,5250530,8180964,8149370,7824917,7824920,5249968,3207491,1878419,1071644,602168,602167,1071639 Dl.O(d2) = 67633369,63836033,58779805,47392746,37485170,37485169,47392741,58779798,68099679,55702051,55702052,68099682,77803599,64621206,52721038,42333917,33352489,33352490,42333922,52021579,49868489,49868490,61350466,71194656,63836634,63836635,64998341,64998618,53023518,42583305,33566222,25776631,19136088,19136087,25776626,33566212,39845990,31163474,31163473,39845985,49868494,52021541,52021540,63836610,64736850,64736849,63836626,63836625,61350400,49868436,39845941,39845942,49868440,60668165,60668166,64999867,64998589,53024801,53024800,64999519,60685755,53025613,53025610,53025611,64621195,53025197,42585435,37199447,28676708,28676707,37199440,47095370,58473208,71194652,84387846,87738023,74132216,61350415,61350416,53023505,53023504,258434995,92299281,78272697,257226190,42585270,42585271,50390758,50390757,54665992,54665993,270111747,77803596,77803593,89400172,92299596,78272695,64999699,64999701,64998228,53023035,42582699,42582700,53023039,64998233,76943805,63836679,52021636,41710830,41710831,52021639,63836680,64999855,53025232,53025231,255686138,61880420,61880424,50390768,40355846,31660841,24150280,17783171,12585875,12585876,17783172,24150282,31660846,32794496,41710840,42582772,42582767,33565624,33565623,39342613,39342614,39342607,37420705,37420706,33568635,33568634,31163453,30743610,25776052,25776051,33565558,32794389,32794390,36425802,30743629,30743627,39342647,49268275,49923003,39903293,31226492,31226493,39903295,33568111,25778131,25778129,33568107,42585097,53024940,53025059,61515861,53023047,42582705,42582704,52021628,52021627,59398386,48010388,38099212,38099211,33565636,25776088,25776087,33565635,33565611,33565612,42582750,53023074,47328925,37420709,28878985,21603579,15575658,15575657,21603575,28878979,25776047,25776045,20804566,20804567,20804575,20804574,27967174,23322847,17057672,17057671,23322844,30743638,39342658,49268282,42585089,34650216,26658919,23846005,23846004,31338453,40017477,50036873,40017637,31338596,23846112,17504565,17504564,23846108,26658875,26658874,34650158,43923386,50036965,42584799,42584798,42582756,33565615,33565614,42582753,50037096,40017759,39342619,39342618,37420700,37420701,37420699,31338679,31338678,27967168,20804570,14910194,10252282,10252283,14910198,20804579,267944218,30594134,30594136,39191449,39342626,49268251,53023056,43923437,34650212,34650210,42183490,50036999,40017652,31338611,23846123,17504574,12342884,12342883,17504571,23846120,31338609,40017650,50036967,40017613,31338569,31338570,40017615,50036970,255280444,39311095,39311094,49237867,50036804,49268258,40017561,31338524,23846062,17504541,12342870,12342869,17504536,23846054,31338512,33568181,25778193,25778194,33568183,40017713,41709939,41709896,41709886,41709888,40017395,40017396,256152136,30084450,38661676,46329847,36474400,33223414,33223415,42183447,52542297,61515811,50036893,50036894,53503686,53503687,64625151,58779819,58779818,57676608,48392180,48392179,50036836,50036826,50036827,61515762,61515760,53075579,50036917,40017527,31338492,23846032,17504529,17504531,23846038,31338497,40017540,42585159,33568174,33568173,42585156,50036887,40017498,31338469,23846015,23846016,31338472,40017501,50036890,48577604,47392732,37485164,37485165,46329844,38661673,38661672,48577599,58779828,47392763,37485182,28943319,21664578,21664577,28943316,37485180,47392758,58180702,46813616,36935340,28436364,28436365,36935342,46813621,58180704,58180708,61515819,50036909,40017523,40017524,40017530,31338494,31338495,40017535,257424214,61515814,50036898,40017506,268440679,17504522,17504521,23846018,31338474,40017493,40017495,37485161,28943303,268608918,28943297,21664565,21664564,255022140,10815088,7147251,4500650,2704410,2704409,4500647,7147248,10815085,15628858,21664574,28436369,28436370,36935345,46813626,37996236,37995668,37995669,47911703,47911576,37995533,29433051,29433052,37995538,47911583,58779764,58779763,54625677,54625678,58779766,58779765,47911744,47911745,59306031,59305960,59305959,61515865,59306101,59305949,58779760,47392693,47392692,47392689,47392690,37485137,28943289,21664559,15628850,10815077,7147245,7147246,10815082,15628853,21664562,28943295,37485147,47392719,37996201,37996202,47912131,58180706,58180707,59342163,58779783,47392725,47392726,47911568,47911567,59305928,256383626,29433218,256152126,37995720,37995721,47911741,59306009,47911711,37995672,29433166,29433165,37995670,47911705,59306006,71508959,58779755,47392702,37485132,28943281,21664553,15628846,15628847,21664549,28943277,28943292,28943293,37485144,29433618,29433619,29433625,29433624,37996205,43031365,43031366,38037549,29474775,29474776,38037552,47950901,59342167,59306036,47911748,37995728,29433221,22101029,15991211,11101123,11101090,7361888,7361889,11101093,15991155,22100954,29433111,37995593,37995601,37995602,47911637,47392699,37485152,37485153,46813649,37995845,29433327,29433326,37995842,29433622,22101290,15991358,15991359,22101292,29433627,256923463,47911613,47911615,47911616,257226198,52867689,268753983,25697242,22101032,15991214,11101126,7361912,7361893,4650217,4650219,7361895,1110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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6461390, s2 = 7830429, dlinesl.size( ) = 2 s1 = 6461390, s2 = 7830429, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6461390, Dl.E( ) = 36, 3.81e-05 seconds used appending s1 = 13281545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 177565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6422044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164831, s2 = 1937817, int(edited[s2]) = 0 s1 = 14164831, s2 = 1937817, d1 = 12, d2 = 11 Dl.O(d1) = 142591191,129219830,115291366,260687505,142591191,129219830,115291366,101213015,258848117,30899907,23466154,17186391,12084582,12084583,15851069,13287706,12326514,267909875,5374091,8326844,12326512,17482595,23817620,31304683,39979767,39979768,49996295,60715851,49314045,39386354,30784276,23359242,17090573,17090572,23359241,256482117,49314044,49314043,60715848,73463652,87080556,101076424,115152218,129081376,142456896,262308861,177350845,186672105,194789071,264264321,208125370,202362231,195507284,187491667,178281196,167843785,156254996,143728414,130402515,116562446,102463375,88459474,74826017,62029376,50537796,257104893,31807371,31807370,40502648,50537794,258297237,88459471,102463374,116562444,130402513,143728413,156254994,167843784,263267647,195507282,202362227,206637466,206637467,211605568,206637463,206637462,202295527,195429349,187400895,178174403,167718344,156113331,260556216,130248442,259956048,259956050,156113332,167718346,167718342,156113328,156113322,143576901,130248434,130248433,143576900,156113321,156113327,167718341,168359740,156896551,144485768,131250763,131250765,144485771,156896554,144485772,131250766,256220862,89210593,75458426,62535925,50932398,50932399,51355494,53070542,65052790,78331547,78331538,78331539,92364428,106668457,259161214,112957722,112957723,126811734,113408521,99407481,85466659,71882054,71882055,85466661,99407485,260567751,127267079,140612984,153293098,165106673,165106672,165106671,263130345,164434789,164434788,175216125,184783937,263856741,206364959,211373755,215468039,215468036,211373753,206364958,264465918,175216121,164434786,261653719,126502063,112636938,98640167,270806348,47044154,256322473,21397948,268071391,7034402,7034403,10653123,15411967,21397949,28638260,268380785,21275225,28491843,21275359,15313735,15313736,21275361,28492039,28492059,36989126,37506419,33218824,25472088,18871755,18871754,25472086,33218823,42177373,52534868,64407844,58182640,256805310,36937432,32359907,24743697,18270744,12967086,12967085,8825989,5750807,3580822,3580823,5750809,8825993,12967094,18270754,12967104,8825999,8826000,12967107,9930834,6526606,4089269,2446358,2446356,254471901,2446535,2446533,4089462,4089215,2446484,1414495,254214995,2446382,4089309,4089059,2446232,2446233,254471871,6526548,4089226,2446328,2446329,4089228,4089434,6526858,9931211,14437354,12276735,12276733,11275821,7485051,7485052,11275824,16220393,13179148,13179146,18548408,23742455,17417858,12276483,8290852,5348734,5348735,8290858,12276497,17417879,23742488,31225840,31225839,24128505,24128504,23742991,17418247,17418246,12276717,8290984,5348798,3287304,1933168,1933166,3287295,5348780,8073593,8073589,12015048,17100749,17418127,17418311,23742495,21672479,21672478,28952687,29500994,29500995,31226563,23743058,23743057,28976818,29733744,23742526,17417924,12276522,8290869,8290868,12276517,17417918,23742551,23742431,17417846,17417847,17417868,17417866,23742469,17418083,17418084,23742785,31225881,31226097,23742679,17417996,17417997,23742684,17418264,12276705,12276706,12276545,8290879,5348773,5348774,8290931,8073584,8073585,12015036,17100727,23369252,28952674,28952676,28952681,28952682,30795493,23369268,17100734,17100733,23369262,23742508,17417891 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164831, s2 = 1937817, dlinesl.size( ) = 2 s1 = 14164831, s2 = 1937817, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14164831, Dl.E( ) = 14, 2.79e-05 seconds used appending s1 = 7978566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 946253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 946253, s2 = 7849251, int(edited[s2]) = 0 s1 = 946253, s2 = 7849251, d1 = 3, d2 = 1 Dl.O(d1) = 23955812,17608880,12429442,12429441,12429655,12429656,17608854,12429423,12429422,8734839,8400607,8400606,12429411,12428489,8400070,254855523,254404889,1959772,1119510,1119509,1959769 Dl.O(d2) = 1119641,1959956,1960002,1119678,1119677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 946253, s2 = 7849251, dlinesl.size( ) = 2 s1 = 946253, s2 = 7849251, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 946253, Dl.E( ) = 8, 4.77e-06 seconds used appending s1 = 53634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 145998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13272357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 146637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13225227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13225227, s2 = 9527445, int(edited[s2]) = 0 s1 = 13225227, s2 = 9527445, d1 = 29, d2 = 43 Dl.O(d1) = 6013748,6013749,7895170,7895172,5599025,5529534,3415438,2016117,2016114,3415429,5497937,5483683,3383527,1992664,1138731,638881,638882,1138734,1164478,2033180,3419384,3419386,5533879 Dl.O(d2) = 120216119,106014162,91819302,77898057,64709497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13225227, s2 = 9527445, dlinesl.size( ) = 2 s1 = 13225227, s2 = 9527445, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13225227, Dl.E( ) = 60, 2.31e-05 seconds used appending s1 = 147221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 147221, s2 = 9334629, int(edited[s2]) = 0 s1 = 147221, s2 = 9334629, d1 = 105, d2 = 105 Dl.O(d1) = 3416736,2017053,2017054,3416740,5531207,8496722,12534988,12603092,8552835,8520131,6017029,6017027,8523918,8523917,254774253,7461402,8483850,5484502,5484501,6014800,6014799,5490987,3381514,1991197,1991196,1999858,1999859,3393353,3376014,1987006,1135228,1135227,1987004,3376012,5485191,3732081,3474401,3474402,3376335,3376336,3385405,1994005,1139501,639293,639292,1139497,1141286,1141290,1996947,1996949,3033477,2028066,1174941,1174942,1161550,1161548,2020384,1161509,651765,651763,1161505,2028647,2028519,1161429,1161428,2028515,3430750,3419362,2019142,2019143,3419363,254192459,655913,363661,363662,655914,1168654,254281279,3474469,3474468,3403803,2007395,1147718,643877,643878,1147646,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660485,1136044,1135946,1135945,1988179,1144284,1144285,2001848,3395977,5507286,8506758,12547448,17734134,24091822,31595282,40279554,39026792,30437301,23030619,16787928,16787927,23030617,30437298,39026791,48949365,59550085,48163493,38254281,29689098,29689099,38254283,48163494,40228843,31542435,24039126,17687397,12509273,8474330,8474332,7723244,7723245,8474309,7473326,4723001,2845656,2845657,4723004,7473334,11257531,16194694,22343644,16194656,15126028,15126027,21057941,28259052,22344982,16195632,16195630,11258316,11258315,16195908,22345354,22343974,22343975,23108545,23108544,30526341,34304705,29697565,22343916,16194838,11257611,11257610,16194833,22343859,22343858,16194812,16194802,11257627,7473383,7473382,11257621,11257643,7473390,4723032,4723033,7473394,11257652,16194904,22343665,21057700,15125827,15125828,21057706,23213171,16941525,16941524,23213159,22343638,21057934,21057933,28259044,36754014,38264083,29698222,23212992,16941371,16941372,16194878,16194879,22343988,29697627,24050745,24050747,31555074,38790317,30205604,22813987,16595585,16595587,22107708,22107707,29441075,29697350,22343706,16194709,11257542,11257544,16194715,16194850,22343931,24226349,30636257,30857400,29697405,22344009,22344010,23972003,23972002,28091236,28091238,30636022,23213165,16941519,16941520,11856979,7924220,7924218,11856972,16941543,23213204,30625392,23202988,23202987,30625385,37834459,47757009,47757011 Dl.O(d2) = 3416736,2017053,2017054,3416740,5531207,8496722,12534988,12603092,8552835,8520131,6017029,6017027,8523918,8523917,254774253,7461402,8483850,5484502,5484501,6014800,6014799,5490987,3381514,1991197,1991196,1999858,1999859,3393353,3376014,1987006,1135228,1135227,1987004,3376012,5485191,3732081,3474401,3474402,3376335,3376336,3385405,1994005,1139501,639293,639292,1139497,1141286,1141290,1996947,1996949,3033477,2028066,1174941,1174942,1161550,1161548,2020384,1161509,651765,651763,1161505,2028647,2028519,1161429,1161428,2028515,3430750,3419362,2019142,2019143,3419363,254192459,655913,363661,363662,655914,1168654,254281279,3474469,3474468,3403803,2007395,1147718,643877,643878,1147646,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660485,1136044,1135946,1135945,1988179,1144284,1144285,2001848,3395977,5507286,8506758,12547448,17734134,24091822,31595282,40279554,39026792,30437301,23030619,16787928,16787927,23030617,30437298,39026791,48949365,59550085,48163493,38254281,29689098,29689099,38254283,48163494,40228843,31542435,24039126,17687397,12509273,8474330,8474332,7723244,7723245,8474309,7473326,4723001,2845656,2845657,4723004,7473334,11257531,16194694,22343644,16194656,15126028,15126027,21057941,28259052,22344982,16195632,16195630,11258316,11258315,16195908,22345354,22343974,22343975,23108545,23108544,30526341,34304705,29697565,22343916,16194838,11257611,11257610,16194833,22343859,22343858,16194812,16194802,11257627,7473383,7473382,11257621,11257643,7473390,4723032,4723033,7473394,11257652,16194904,22343665,21057700,15125827,15125828,21057706,23213171,16941525,16941524,23213159,22343638,21057934,21057933,28259044,36754014,38264083,29698222,23212992,16941371,16941372,16194878,16194879,22343988,29697627,24050745,24050747,31555074,38790317,30205604,22813987,16595585,16595587,22107708,22107707,29441075,29697350,22343706,16194709,11257542,11257544,16194715,16194850,22343931,24226349,30636257,30857400,29697405,22344009,22344010,23972003,23972002,28091236,28091238,30636022,23213165,16941519,16941520,11856979,7924220,7924218,11856972,16941543,23213204,30625392,23202988,23202987,30625385,37834459,47757009,47757011 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7851151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 346489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7879772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7879772, s2 = 1286314, int(edited[s2]) = 0 s1 = 7879772, s2 = 1286314, d1 = 20, d2 = 17 Dl.O(d1) = 269254908,256255854,80743155,67272513,67272514,60768948,256255856,30833992,30833990,39437995,49366615,60768941,73517530,87136054,257977902,129142941,115329117,101251960,87252462,73631083,73631085,87252465,101251964,109133983,94868746,94868745,109133981,123342310,137094662,136754958,122923466,108658970,94371412,80315443,67335355,67335354,80803646,94868751,109133994,123342315,137094667,150158986,149790947,136614181,136614180,149790944,162027905,150051805,144493023,131258712,131258713,144493025,150077987,162252637,171170343,171170344,172495143,161296584,150174527,137112758,137112759,147500295,134310678,129376091,115483372,115483371,109037862,94760770,80685407,80685406,94760768,109037857,123259587,137024913,150100213,162267248,150272832,137231848,123500897,109309212,108426115,94093677,94093676,108426112,108152461,93766781,93766782,108152464,103389420,98747462,84821859,71249909,71249910,58521915,58521914,67203692,61090552,61090551,65200297,53214477,44240385,34883642,26825110,19958836,14290884,9817609,6450248,4043885,4043882,2422508,1401760,1401757,2422582,4045353,6453076,9816613,14288266,19952770,26815158,34870386,44223230,55053159,67383677,80851319,87561859,87561860,73970916,73970914,258573650,94085835,80001996,66584831,66584830,80001993,94085833,259058365,78101551,270785909,70258797,70258795,83779385,97641485,111568886,125377209,136610943,122732456,122732455,136610941,134315911,134315910,120491965,272006197,136915033,257362342,94990550,94990549,109250331,123448927,137187566,259219122,123452236,109254340,259235680,257984454,55127121,258519849,93658253,259021121,52366400,268740931,33083092,257779647,259021119,259069763,65127629,53142844,42692377,33661722,257143904,9391357,13711554,9438136,6186481,3871527,2318515,1344180,767217,767212,1344093,2317260,1354863,1354859,2337631,2337627,2365414,1369532,1369534,2306575,2306576,3849689,6152507,6368816,6388950,8705543,8705546,9711347,8643654,8643650,9564871,6276706,3930311,3930307,3930329,2353023,2353025,3930350,6276774,6301132,6250624,6250620,3952035,2366626,1370115,779988,779990,1369658,267815291,5634734,254285997,2081448,3501781 Dl.O(d2) = 32363255,257145271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7879772, s2 = 1286314, dlinesl.size( ) = 12 s1 = 13343531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13343531, s2 = 2578653, int(edited[s2]) = 0 s1 = 13343531, s2 = 2578653, d1 = 43, d2 = 18 Dl.O(d1) = 37107450,268206792,15386626,15386624,21366019,28599026,36950992,36950991,37138860,31634298,24127647,17764747,17764745,24127644,21224009,15254195,10523854,6940613,4361798,2613821,1509355,1509356,2613825,4361806,6940624,255022863,21224084,28450884,33438596,33438597,28450675,28450676,25669011,19048637,13598056,9311188,9311189,12740879,17978180,24376642,28450857,21224068,15254236,15254235,12800793,8703318,5665498,3524097,2097108,2097107 Dl.O(d2) = 72858109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13343531, s2 = 2578653, dlinesl.size( ) = 2 s1 = 13343531, s2 = 2578653, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13343531, Dl.E( ) = 70, 2e-05 seconds used appending s1 = 9534714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9534714, s2 = 7171353, int(edited[s2]) = 0 s1 = 9534714, s2 = 7171353, d1 = 9, d2 = 9 Dl.O(d1) = 165300479,166796004,155099649,142454826,129079312,115150063,101074085,87077983,73460792,60712845,49310776,39383045,30781194,23356580,17088372,12000917,8054374,8054373,12000914,12016555,12016557,11329051,7525779,4759292,4759293,3128637,3128636,3145104,5162085,4510765,2710543,2710542,4510762,7161890,10834410,8081642,5177544,5177545,5227888,3189652,3189651,5227886,8063626,8038350,5128548,3117153,3117152,5128543,3149980,1842898,1842899,3149984,3150027,1842921,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584263,1037233,1816204,1816203,3108133,5117059,8027969,6475710,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792792,11685877,11686312,11686314,11686376,254805468,11686335,11686336,16728996,16719829,16719830,11687222,8022713,5111604,5111605,8022720,11976279,254127256,4908381,4908380,7750427,7794933,7794934,11688515,11691080,11691077,16717686,22954325,30297901,22899563,22899564,16718081,16718066,11676186,254552290,22954668,30297014,254247688,22958187,22898488,22898490,267897628,16544147,11530618,7670669,4853397,4853396,7670665,254805596,16721321,22957443,23233701,18918671,18918670,25528409,33288917,30297100,22898710,16668375,11634061,11634063,16668386,17786636,17786637,24153803,23256945,23256946,22602357,22602361,29967336,22970084,22970083,22970116,17102364,17102363,23371139,29524986,22182558,16715395,16715393,11941898,11941897,16732735,16732736,22968537,23356629,30296793,23353976,23353978,23270521,17007590,17007588,23270514,23354106,17086326,17086328,23354111,30778165,23361360,23256537,23256538,29419090,22969256,22954570,22954569,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676498,16718341,17009397,17009396,17009359,16261099,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17063035,17063034,16286955,16286959,12018849,254254544,3154664,3154665,5154629,3138436,3138435,5154627,7964756,5067109,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123148,4482131,2693093,2693092,4482127,7118681,10773838,15575019,21599127,15571407,10770730,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,12017657,12017741,12017734,8077062,254129748,17103259,15573375,10772523,10772524,15573377,11794440,11794441,16862608,23122745,30541622,39140379,49070433,60473552,73219907,86832537,100813781,114865233,128762568,142118114,154752793,261790236,131681785,117853644,103699206,89583352,75800877,62836753,257135755,32237682,255617513,255222435,8771766,5712552,3555856,267805925,1221491,690064,385296,212114,115971,63354,63355,115974,212120,385310,507515,507516,899736,690079,385302,385301,690076,1221514,2118576,3555930,5712677,8771986,12896556,18184344,24640399,29559430,22213878,16082260,16082259,22213876,29559426,38124924,48038161,59430225,72168797,85762928,99716939,113731363,127600003,140949233,262229143,176077923,263539421,200884912,206863607,211803588,215838892,219176348,221993864,224413399 Dl.O(d2) = 165300479,166796004,155099649,142454826,129079312,115150063,101074085,87077983,73460792,60712845,49310776,39383045,30781194,23356580,17088372,12000917,8054374,8054373,12000914,12016555,12016557,11329051,7525779,4759292,4759293,3128637,3128636,3145104,5162085,4510765,2710543,2710542,4510762,7161890,10834410,8081642,5177544,5177545,5227888,3189652,3189651,5227886,8063626,8038350,5128548,3117153,3117152,5128543,3149980,1842898,1842899,3149984,3150027,1842921,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584263,1037233,1816204,1816203,3108133,5117059,8027969,6475710,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792792,11685877,11686312,11686314,11686376,254805468,11686335,11686336,16728996,16719829,16719830,11687222,8022713,5111604,5111605,8022720,11976279,254127256,4908381,4908380,7750427,7794933,7794934,11688515,11691080,11691077,16717686,22954325,30297901,22899563,22899564,16718081,16718066,11676186,254552290,22954668,30297014,254247688,22958187,22898488,22898490,267897628,16544147,11530618,7670669,4853397,4853396,7670665,254805596,16721321,22957443,23233701,18918671,18918670,25528409,33288917,30297100,22898710,16668375,11634061,11634063,16668386,17786636,17786637,24153803,23256945,23256946,22602357,22602361,29967336,22970084,22970083,22970116,17102364,17102363,23371139,29524986,22182558,16715395,16715393,11941898,11941897,16732735,16732736,22968537,23356629,30296793,23353976,23353978,23270521,17007590,17007588,23270514,23354106,17086326,17086328,23354111,30778165,23361360,23256537,23256538,29419090,22969256,22954570,22954569,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676498,16718341,17009397,17009396,17009359,16261099,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17063035,17063034,16286955,16286959,12018849,254254544,3154664,3154665,5154629,3138436,3138435,5154627,7964756,5067109,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123148,4482131,2693093,2693092,4482127,7118681,10773838,15575019,21599127,15571407,10770730,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,12017657,12017741,12017734,8077062,254129748,17103259,15573375,10772523,10772524,15573377,11794440,11794441,16862608,23122745,30541622,39140379,49070433,60473552,73219907,86832537,100813781,114865233,128762568,142118114,154752793,261790236,131681785,117853644,103699206,89583352,75800877,62836753,257135755,32237682,255617513,255222435,8771766,5712552,3555856,267805925,1221491,690064,385296,212114,115971,63354,63355,115974,212120,385310,507515,507516,899736,690079,385302,385301,690076,1221514,2118576,3555930,5712677,8771986,12896556,18184344,24640399,29559430,22213878,16082260,16082259,22213876,29559426,38124924,48038161,59430225,72168797,85762928,99716939,113731363,127600003,140949233,262229143,176077923,263539421,200884912,206863607,211803588,215838892,219176348,221993864,224413399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9534714, s2 = 7171353, dlinesl.size( ) = 2 s1 = 9534714, s2 = 7171353, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 9534714, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 235326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10136203, s2 = 6452337, int(edited[s2]) = 0 s1 = 10136203, s2 = 6452337, d1 = 7, d2 = 5 Dl.O(d1) = 1232992,2136382 Dl.O(d2) = 5756506,8834029,254631088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10136203, s2 = 6452337, dlinesl.size( ) = 2 s1 = 10136203, s2 = 6452337, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10136203, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1287266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6439576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054507, s2 = 6439922, int(edited[s2]) = 0 s1 = 15054507, s2 = 6439922, d1 = 11, d2 = 11 Dl.O(d1) = 259641027,271766372,259290184,23673689,268297347,18879365,25481694,33230361,34576771,26979139,20090656,20090657,16206477,16206476,22358874,17968403,12733539,8652675,8652674,12733536,17968399,24363854,22363248,16209835,16209834,22363247,29718485,23580952,22363148,22361670,16208604,16208603,17353031,17353030,23672305,31160754,33232337,25483707,18881076,18881075,22360541,16207770,11266814,10251630,6736012,4220461,2523381,1454141,823336,464990,464974,261795,261796,464977,823304,1454088,1454193,823363,823362,1454190,1454143,1454144,1454306,2523620,2523336,2523337,2523319,1454100,1454101,2523321,4220393,4221172,267784293,254217415,2523204,1454245,1454246,254320805,254320807,4220494,2523408,1454161,823352,823353,1454164,1454474,1454154,823344,464997,261807,145148,79862,79861,145145,261797,464981,465020,261819,145155,145154,261814,465011,254154663,2523489,4220591,4221174,4220657,4220399,267784279,254117483,464983,823318,465086,465087,823526,1454486,2523889,4220311,4220310,4220655,6734521,4219313,4219312,6734518,6736944,7519714,7519715,10251789,6736173,4220598,4220597,6736170,10251359,6735798,6734088,6734087,10249187,14906391,14906390,14909422,14909439,10251660,6736044,6736045,4220541,2523449,2523448,1454469,1454468,2523858,4221156,267956004,14518683,10251496,10251495,14906450,10249220,6734110,4219047,4219046,2523257,2523258,4220301,6735805,10251364,6736924,4221160,2523861,2523863,4221165,6736932,10251384,10251385,10251787,10251785,10251796,10251797,14906326,10251791,10251790,10249222,10249221,6735821,4220306,4220302,6735810,6734050,4219010,2522446,2522447,4219014,6734061,6734136,254995319,20799888,20799891,24535986,18102869,12835707,8728047,5681930,3534354,2103647,254625079,12835660,254226826,25559443,18946685,13510033,9243949,6054286,4719445,4719446,2843278,2843277,4465540,4465537,7092361,10734425,15491781,21498537,21535985,28758089,21498761,21498528,21498529,28757881,37291488,37326897,37326898,29560308,29560307,32782910,28757929,21498597,21498496,15491753,10712915,10712914,15491750,21498494,28757818,21498470,21498469,21498461,21498462,28757812,37291439,37331921,33449242,25678145,25678146,21533373,21533372,18760703,13359097,255255373,21498545,21498544,28757890,25340705,18760696,18760698,15513964,10729653,7089344,4463796,4463797,7089350,10729664,15513980,15491776,10712924,10712922,15491770,15491795,15491797,18541282,13174443,12681869,12681867,13174283,15492023,10713107,7077470,4455731,2676688,1550458,881467,881466,1550454,2676679,4455712,7077454,10031252,10713169,15492110,21498917,21172518,15213645,15213643,21172509,28391816,24253261,24253262,25085722,18541334,15514077,10729727,7089389,7089388,10729721,15514064,21461582,15461338,15461336,15513973,15513975,17902313,21528330,21528331,18541368,13174500,8980720,5863314,3660595,2190135,1271069,726169,726168,1271064,2190123,254437095,255242389,25085300,27010459,27010458,35096892,44473452,268551176,22254663,16116052,11194726,11194725,11194331,11194332,11194558,7427839,4693665,4693662,7427829,11194539,16115610,11194497,11194496,14343846,11194850,7428002,7428003,11194853,16116264,22254973,29604902,268255201,17489759,23827292,31316726,39993529,50011424,61489382,53197088,256711163,34312952,27066373,20172057,14472934,14472935,20172014,27066324,29603050,22253422,16115249,11194294,7427721,7427720,11194303,16115273,22253463,29603122,255170518,31302818,39977604,40944835,256932218,47092052,41109383,41109384,48083101,38170377,38170378,33840725,26021178,26021177,33840724,42884144,49993629,258878757,101828422,273174530,177784400,262181364,166124780,154379973,269317390,10722343,254503129,1551922,1551921,2679236,2554017,2554016,1747253,1112375,1112327,624170,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2925631,1943929,1943928,2543654,2543655,3702633,2217701,2217703,1291122,1291124,2225972,3717386,2226026,2226027,2226035,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375903,3496802,3496800,4269677,2552742,1470491,1470488,2552735,2696534,1933401,1933399,3287682,4853696,4853695,6761119,4236992,2533230,2533229,4236988,2924835,2576748,2576745,4261843,2547886,2546724,2224532,1290308,736535,736533,736644,1290286,2224490,2537562,4244094,4244093,6771299,9068999,9069000,10414841,6865262,4308648,2576372,1483875,1483879,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838670,9071646,5932687,5932689,4291422,4291421,4282705,4282704,6784361,10313814,14981832,20870226,20870227,20943242,28058273,25254834,18684028,13291098,9073705,9073706,10357285,9102937,9102936,9074562,5934407,3710631,2222087,2222086,3710625,5934396,9074540,13292001,15016970,10344962,6810697,4271685,254485345,10344956,15016964,15016963,15016964,268947857,29826013,29826012,29826013,255475029 Dl.O(d2) = 259641027,271766372,259290184,23673689,268297347,18879365,25481694,33230361,34576771,26979139,20090656,20090657,16206477,16206476,22358874,17968403,12733539,8652675,8652674,12733536,17968399,24363854,22363248,16209835,16209834,22363247,29718485,23580952,22363148,22361670,16208604,16208603,17353031,17353030,23672305,31160754,33232337,25483707,18881076,18881075,22360541,16207770,11266814,10251630,6736012,4220461,2523381,1454141,823336,464990,464974,261795,261796,464977,823304,1454088,1454193,823363,823362,1454190,1454143,1454144,1454306,2523620,2523336,2523337,2523319,1454100,1454101,2523321,4220393,4221172,267784293,254217415,2523204,1454245,1454246,254320805,254320807,4220494,2523408,1454161,823352,823353,1454164,1454474,1454154,823344,464997,261807,145148,79862,79861,145145,261797,464981,465020,261819,145155,145154,261814,465011,254154663,2523489,4220591,4221174,4220657,4220399,267784279,254117483,464983,823318,465086,465087,823526,1454486,2523889,4220311,4220310,4220655,6734521,4219313,4219312,6734518,6736944,7519714,7519715,10251789,6736173,4220598,4220597,6736170,10251359,6735798,6734088,6734087,10249187,14906391,14906390,14909422,14909439,10251660,6736044,6736045,4220541,2523449,2523448,1454469,1454468,2523858,4221156,267956004,14518683,10251496,10251495,14906450,10249220,6734110,4219047,4219046,2523257,2523258,4220301,6735805,10251364,6736924,4221160,2523861,2523863,4221165,6736932,10251384,10251385,10251787,10251785,10251796,10251797,14906326,10251791,10251790,10249222,10249221,6735821,4220306,4220302,6735810,6734050,4219010,2522446,2522447,4219014,6734061,6734136,254995319,20799888,20799891,24535986,18102869,12835707,8728047,5681930,3534354,2103647,254625079,12835660,254226826,25559443,18946685,13510033,9243949,6054286,4719445,4719446,2843278,2843277,4465540,4465537,7092361,10734425,15491781,21498537,21535985,28758089,21498761,21498528,21498529,28757881,37291488,37326897,37326898,29560308,29560307,32782910,28757929,21498597,21498496,15491753,10712915,10712914,15491750,21498494,28757818,21498470,21498469,21498461,21498462,28757812,37291439,37331921,33449242,25678145,25678146,21533373,21533372,18760703,13359097,255255373,21498545,21498544,28757890,25340705,18760696,18760698,15513964,10729653,7089344,4463796,4463797,7089350,10729664,15513980,15491776,10712924,10712922,15491770,15491795,15491797,18541282,13174443,12681869,12681867,13174283,15492023,10713107,7077470,4455731,2676688,1550458,881467,881466,1550454,2676679,4455712,7077454,10031252,10713169,15492110,21498917,21172518,15213645,15213643,21172509,28391816,24253261,24253262,25085722,18541334,15514077,10729727,7089389,7089388,10729721,15514064,21461582,15461338,15461336,15513973,15513975,17902313,21528330,21528331,18541368,13174500,8980720,5863314,3660595,2190135,1271069,726169,726168,1271064,2190123,254437095,255242389,25085300,27010459,27010458,35096892,44473452,268551176,22254663,16116052,11194726,11194725,11194331,11194332,11194558,7427839,4693665,4693662,7427829,11194539,16115610,11194497,11194496,14343846,11194850,7428002,7428003,11194853,16116264,22254973,29604902,268255201,17489759,23827292,31316726,39993529,50011424,61489382,53197088,256711163,34312952,27066373,20172057,14472934,14472935,20172014,27066324,29603050,22253422,16115249,11194294,7427721,7427720,11194303,16115273,22253463,29603122,255170518,31302818,39977604,40944835,256932218,47092052,41109383,41109384,48083101,38170377,38170378,33840725,26021178,26021177,33840724,42884144,49993629,258878757,101828422,273174530,177784400,262181364,166124780,154379973,269317390,10722343,254503129,1551922,1551921,2679236,2554017,2554016,1747253,1112375,1112327,624170,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2925631,1943929,1943928,2543654,2543655,3702633,2217701,2217703,1291122,1291124,2225972,3717386,2226026,2226027,2226035,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375903,3496802,3496800,4269677,2552742,1470491,1470488,2552735,2696534,1933401,1933399,3287682,4853696,4853695,6761119,4236992,2533230,2533229,4236988,2924835,2576748,2576745,4261843,2547886,2546724,2224532,1290308,736535,736533,736644,1290286,2224490,2537562,4244094,4244093,6771299,9068999,9069000,10414841,6865262,4308648,2576372,1483875,1483879,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838670,9071646,5932687,5932689,4291422,4291421,4282705,4282704,6784361,10313814,14981832,20870226,20870227,20943242,28058273,25254834,18684028,13291098,9073705,9073706,10357285,9102937,9102936,9074562,5934407,3710631,2222087,2222086,3710625,5934396,9074540,13292001,15016970,10344962,6810697,4271685,254485345,10344956,15016964,15016963,15016964,268947857,29826013,29826012,29826013,255475029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054507, s2 = 6439922, dlinesl.size( ) = 2 s1 = 15054507, s2 = 6439922, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 15054507, Dl.E( ) = 12, 1.19e-05 seconds used appending s1 = 156115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7912846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6526085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6526085, s2 = 7488685, int(edited[s2]) = 0 s1 = 6526085, s2 = 7488685, d1 = 72, d2 = 80 Dl.O(d1) = 255580706 Dl.O(d2) = 267151052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6526085, s2 = 7488685, dlinesl.size( ) = 44 s1 = 100476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13337147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7943480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7939939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6440603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6440603, s2 = 162301, int(edited[s2]) = 0 s1 = 6440603, s2 = 162301, d1 = 6, d2 = 10 Dl.O(d1) = 254447888 Dl.O(d2) = 3793486,6063092,9257488,13526530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6440603, s2 = 162301, dlinesl.size( ) = 14 s1 = 11655430, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14162060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7822673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339465, s2 = 13273088, int(edited[s2]) = 0 s1 = 10339465, s2 = 13273088, d1 = 4, d2 = 91 Dl.O(d1) = 2289587 Dl.O(d2) = 40490786,41190926,32372512,24753994,24753992,32372503,41190919,50526439,52297688,41956679,41956677,39168588,30570597,23153062,23153063,25647462,25647460,25647465,33414985,40490824,31795887,24282100,24282099,31795883,25647522,19029680,19029681,25647525,33415081,31795814,24282086,17901459,17901460,24282092,31795873,40490813,36692070,36692071,33772558,25962949,19297146,13796670,9460619,9460618,13796664,19297129,24282071,24282070,24282059,17901450,17901449,24282077,24282148,31795952,40490899,40490935,40490936,33014337,33014335,41956682,33415007,25647477,19029661,13583095,13583094,19029657,25647470,33414996,42404868,33770366,25961329,25961328,33415091,25647531,25647530,33415086,42404986,40490793,31795857,24282081,24282082,31795862,33415045,25647501,24282066,24282064,256555535,25962934,19297134,19297133,19297124,19297123,24282074,17901446,12681211,8612999,8613000,12681216,17901454,17901490,24282151,24282173,24282172,31795991,33014331,33014329,33211363,42170975,33414998,25647471,25647472,33414989,33414990,42404860,50567484,50567486,42855873,42855872,52805094,42404990,42404991,33415124,31795980,31795978,40490926,40490790,31795853,31795845,31795846,25647515,19029677,19029676,25647509,33415056,42404957,52805063,53257742,53257743,52805148,50526519,42804759,40490876,40490732,31795802,24282033,17901424,17901423,24282029,25961607,25961597,25961596,33211394,25463854,18863716,13440727,13440726,18863712,25463849,33211380,42170939,33211335,31833350,256558767,257690495,62018197,62018198,74814619,77512876,258126594,77570596,257516306,42170952,36563444,28093216,20918859,20918858,17929116,17929115,24314917,31833348,40530948,41724872,52039966,62060014,52477137,42122060,33165749,25423261,25423263,33165754,42122064,52477144,50526413,50526410,50526408,46427680,46427679,42170949,33211341,33211340,42122169,42122170,52477214,50526401,40490745,40490744,50526372,42802532,33770708,25961589,19296196,18830348,18830349,25423316,33165839,33211343,33211342,42122133,42170964,52528977,48087520,48087519,57782724,50567513,40530939,36563429,28093200,28093198,36563425,42122129,42122130,52039962,41724868,33165768,25423274,18830330,18830329,25423266,33165760,42122068,33165802,33165803,42122105,42170959,33770398,25961352,25961350,33770394,33770421,42122110,52477162,53254890,50526396,50526395,42122210,33165902,33165859,25423323,18830353,13416165,13416166,18830357,25423327,33165868,33165886,42122136,52477180,64347303,59477058,59477059,50567518,40530945,31833343,28093205,20918849,20918850,28093208,33165826,25423308,25423306,33165812,25423303,25423285,18830334,18830333,25423281,33165783,33770536,25961466,25961465,33770416,256622538,32857912,29031667,29031668,37212783,28688237,28688236,37212778,38175494,38175495,42122190,33165881,29608888,29608890,29608684,29608683,38175525,38175426,38175425,42122094,37659006,37659007,37659017,47565103,50985642,40850879,32079032,32079034,40850883,42122086,33165786,33165772,33165773,33772583,25962964,19297158,19297160,25962970,29608658,25963009,19297185,13796686,9460632,9460633,13796692,19297191,25963020,33772628,37578915,29031678,21740429,21740428,28688247,21437880,21437879,28688244,29608640,29608642,38175467,38175710,38175519,29608680,22258184,22258182,22258061,22258060,29608551,37659013,29109234,21810352,21810351,29109229,37659001,47484495,37578949,29031707,29031706,37578944,29608631,29608630,256394827,29609149,38175878,29609108,22258764,22258765,29609113,33772610,33772609,29608591,22258084,16118650,15748372,15748371,11196720,11196721,16118713,15690228,10861865,7181360,7181359,10861862,15690224,21740461,22258582,16119179,16119180,22258584,22258290,22258288,22258276,16118861,16118625,11196653,7429308,7429307,11196649,15748357,11196680,11196679,11196826,11196827,16118688,16118689,22258124,29608626,22258823,16119344,16119345,22258189,22258810,22258305,16119305,16119306,22258760,29609103,29609165,22258838,16119369,16118644,16118645,11196727,7429342,7429343,11196733,16118727,15690205,10861853,10861852,15690201,21740415,29031657,22258283,16118867,16118866,16118812,16118811,11196842,7429418,4694648,4694649,7429425,11196850,255459869,22258107,22258108,16118783,11196778,11196779,11196781,11196782,12416387,17590541,16119349,11197220,11197223,16119342,11197217,254527656,22258157,22258158,29608220,22257766,22257765,16118919,11196893,11196892,16118822,16118888,11196867,11196866,16118883,17590576,16119003,11196970,11196972,16119008,11197323,11196811,7429392,4694625,4694623,4694713,4694641,4694642,4694654,4694655,7429433,7429549,4694732,4694594,2828605,1641161,1641163,2828610,4694607,7429371,11196787,16118700,11197229,7429672,4694801,4694802,7429679,11197238,16119366,16118738,11196738,11196739,16118385,11196467,7429457,4694675,2828643,2828644,4694681,7429477,11196871,11196872,11196946,16118977,11196980,7429507,4694699,4694697,7429445,4694749,4694635,2828626,1641168,1641167,2828618,4694621,7429384,7429511,11196856,11196759,7429552,7429554,7429329,7429328,11196701,7429363,7429362,11196766,11196891,7429451,4694842,2828726,2828708,2828709,4694809,7429686,11197253,11196750,7429350,7429349,11196745,11196939,7429705,4694822,4694824,7429465,7429464,11196909,11197394,11197049,7429559,7429557,11196674,11196673,11196977,7429586,4694757,2828680,1641197,933234,525988,525987,933228,1641182,2828655,4694707,7429521,11196998,11197103,11197104,11196695,11196694,11197261,11197260,16119396,16119051,16118914,11196885,7429741,4694836,4694834,7429736,11197245,11197244,16119383,22258164,16119067,11197021,11197023,11196963,7429497,7429496,7429717,11197117,16118928,22258353,16119158,16119157,16119108,16119110,16118653,16118654,11197277,7429697,4694819,2828719,1641215,933242,525992,525993,933245,1641221,2828731,4694856,7429760,11197355,16119507,22258792,22258801,22258440,16119392,16119391,22257557,16119435,11197334,11197265,11197266,11197061,11197063,16119128,16119377,16119376,11197583,11197582,11197282,11197028,11197026,16118989,11196957,11196956,7429611,7429610,11197129,16119153,16119149,16119147,16119292,16119294,22258087,22258086,16119290,11197192,7429653,4694793,2828703,1641208,1641207,2828699,4694684,4694850,4694846,7429752,11197344,16119329,11197211,11197212,16119335,22258806,22258892,22258885,16119426,11197301,11197300,16119420,22258402,16119121,16119122,22258519,22258841,22258842,22259254,22239340,22239341,16119269,16119268,16119430,16119431,254352700,16119204,18479911,25006806,28765911,255898276,58595821 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7913992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7880927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880927, s2 = 7768079, int(edited[s2]) = 0 s1 = 7880927, s2 = 7768079, d1 = 1, d2 = 1 Dl.O(d1) = 9333364,6113525,3825148,2291734,1329722,759260,759259,1329719,2291731,3825144,6113523,6135221,6135222,9366527,13677656,19064965,19064966,18998822,13624010,13624006,19082578,25655594,22663088,19022366,13577440,9296502,9296500,13577434,13584516,9301607,6093144,6093145,9301609,10704053,15479059,21482517,268615485,47178186,58566948,258687047,98802091,112794688,261112331,140008456,152705134,164544669,175310144,184864037,193207051,200368089,206417704,211421455,215511765,218891674,221745210,224193820,226316980,228165817,229788638,231229313,232521365,274662717,235718097,236597574,237399244,238128039,238791335,239400905,239963281,240484743,240968865,241417105,241417106,241832243,242215628,242570037,242233133,267078462,274887956,240509653,266896484,238823879,266783244,274744338,235763436,236495783,235604308,274658807,231065729,265709174,226110412,223970918,221500368 Dl.O(d2) = 9333364,6113525,3825148,2291734,1329722,759260,759259,1329719,2291731,3825144,6113523,6135221,6135222,9366527,13677656,19064965,19064966,18998822,13624010,13624006,19082578,25655594,22663088,19022366,13577440,9296502,9296500,13577434,13584516,9301607,6093144,6093145,9301609,10704053,15479059,21482517,268615485,47178186,58566948,258687047,98802091,112794688,261112331,140008456,152705134,164544669,175310144,184864037,193207051,200368089,206417704,211421455,215511765,218891674,221745210,224193820,226316980,228165817,229788638,231229313,232521365,274662717,235718097,236597574,237399244,238128039,238791335,239400905,239963281,240484743,240968865,241417105,241417106,241832243,242215628,242570037,242233133,267078462,274887956,240509653,266896484,238823879,266783244,274744338,235763436,236495783,235604308,274658807,231065729,265709174,226110412,223970918,221500368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880927, s2 = 7768079, dlinesl.size( ) = 2 s1 = 7880927, s2 = 7768079, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7880927, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6422522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6675803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6675803, s2 = 11018314, int(edited[s2]) = 0 s1 = 6675803, s2 = 11018314, d1 = 50, d2 = 56 Dl.O(d1) = 257209760 Dl.O(d2) = 271289267,70529046,254925912,28129742,20951870,17538199,12370008,12370007,12405478,10017011,6584299,6584296,10017377,254175770,6583957,4125194,4125195,6583959,10017127,10017020,10017021,7505161,4744067,4744066,7505156,11304385,16259397,22425783,18935447,14556983,14556984,17279639,12159094,8189693,8189692,12159091,13511894,9245339,8377999,5406823,3323924,3323923,5406822,8377996,12397039,17538445,12370202,8358854,8358855,12370206,17538454,12370209,12370210,267812066,12397851,8378519,5407081,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342538,5342539,8280562,7464292,4716934,2841697,2841696,4716930,7464282,7843617,7843618,10550225,10550224,254724928,255389160,22432866,29799350,33993244,26151751,19453056,19453055,26151750,33993242,29322130,21993165,15895132,15895131,21993161,29322126,37890128,33992710,26151285,19452785,19452784,26151277,33992702,39874432,31192574,28203187,28203186,31591775,255056244,19468314,13933030,13933032,13933039,13933038,16784889,23026959,18777105,18777104,13926661,9558928,6272220,254671759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6675803, s2 = 11018314, dlinesl.size( ) = 36 s1 = 14848327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14848327, s2 = 9058975, int(edited[s2]) = 0 s1 = 14848327, s2 = 9058975, d1 = 5, d2 = 7 Dl.O(d1) = 1362536,2352046,2346953,1359481,1359479,2345016,254113854,2309516,1339933,1339932,2309510,2415587 Dl.O(d2) = 2313562,3861937,6160652,9403260,13727050,19217607,273239998,273929076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14848327, s2 = 9058975, dlinesl.size( ) = 8 s1 = 10153891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 166698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 166885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 166885, s2 = 14482159, int(edited[s2]) = 0 s1 = 166885, s2 = 14482159, d1 = 6, d2 = 6 Dl.O(d1) = 3877612,3877613,6195377,9449993,10645157,15401582,12992747,12992748,13782917,9449868,9449869,13782835,9449822,9449820,13782844 Dl.O(d2) = 3877612,3877613,6195377,9449993,10645157,15401582,12992747,12992748,13782917,9449868,9449869,13782835,9449822,9449820,13782844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 166885, s2 = 14482159, dlinesl.size( ) = 2 s1 = 166885, s2 = 14482159, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 166885, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 167814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 167814, s2 = 1522981, int(edited[s2]) = 0 s1 = 167814, s2 = 1522981, d1 = 1, d2 = 180 Dl.O(d1) = 3903945 Dl.O(d2) = 38744888,38020649,38020648,29458781,22124570,22124571,29458785,29685456,29458796,29458798,28245208,22870157,22870156,30266829,29485970,22147659,22147660,22485964,24530954,24530955,32107418,32107473,29736738,22378737,16222226,16222224,22378685,22378684,21510484,15501256,15501254,21510474,28771568,37305034,38386628,29852518,29852516,37360106,47269906,58661089 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8015262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8015262, s2 = 16260926, int(edited[s2]) = 0 s1 = 8015262, s2 = 16260926, d1 = 7, d2 = 4 Dl.O(d1) = 33981472,26141794,19444769,13914387,9549880,9549881,13914388,19444772,26141801,33981483,33981561,26141866,19444806,13914404,9549888,6265949,3922945,2348443,2348441,3922939,6265942,9549870,255705695,33981350,43038685,53390155,65393426,74507945,61727077,255164170,40228920,254841384,25243980,24948008,18432896,18432897,24948010,32136832,32136831,24558244,24039321,24039319,31542571,28978010,24004626,17659382,17659385,20231432,20231436,22652023,22652020,25427557,18834058,13418969,9174865,9174868,13418980,18834082,25427599,33170033,37460177,30217627,22825201,22825204,30217638,38654842,40356175,31661099,31661097,40356172,48722846,38801799,30217672,22825227,16604428,16604427,22825222,22282701,16138507,11210849,7438533,7438529,11210826,15236731,21202156,28425586,256844625,46802270,58169613,258657661 Dl.O(d2) = 112333837,126194381,139569542,152299365,164182502,174998277,184599422,192983677,200175990,206248897,211270569,215373822,218764479,221627082,224085276,226217078,228072800,229701172,231146061,232441422,233612861,266313805,235650535,236536273,237345222,238081396,238751211,239366327,266899155,240942796,241392822,241809666,242194208,242549800,242881262,243189644,243478926,267271445,244229661,244444697,244645101,244467307,244417347,244417348,244253664,244024025,243777398,243511374,243224918,242918717,242589838,267074468,241855085,241441625,266891288,239994350,239434418,238828232,238168607,237443890,236645477,235769632,234807335,233751729,232592331,231309041,229877326,228264989,226428357,224319440,221889608,219058543,215706725,211654107,206696586,200696187,193584004,185285942,175774019,165042321,261551766,140542003,127196040,113337610,99335252,85391648,71803507,59062883,47662778,37740892,29180076,29180077,37740893,47662780,269191052,47662777,59062881,257906770,76881456,63772198,51957335,41650498,41650499,51957336,63772196,76881453,90760026,104939644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8015262, s2 = 16260926, dlinesl.size( ) = 2 s1 = 8015262, s2 = 16260926, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8015262, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14162158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10171004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7916257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7916257, s2 = 15313596, int(edited[s2]) = 0 s1 = 7916257, s2 = 15313596, d1 = 55, d2 = 44 Dl.O(d1) = 10719772,10719773,15500745,15463669,10692425,7063902,4447566,4447571,4501856,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,14929680,15588192,18728165,20839546,20839545,15589250,12737597,8655560,5629947,5629946,8655554,12737584,17974128,21620725,15590362,15590363,18234616,14255535,9798338,6440928,6440931,9798347,11949311,11949310,16296187,16296188,17854479,12644262,12644261,17854477,24226217,20939100,15030871,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14605813,10050275,10050276,10050313,11340064,11338776,11338777,7535862,4766947,2873533,1667727,948642,534818,534819,948648,1667603,1667601,2873293,4766412,7534847,10324569,10276553,254218544,4231817,254704767,14941767,10377477,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,6074051,6837602,6837601,10376912,15050620,19539071,13990580,9611055,254461003,2369438,2369437,3956411,2369331,1371572,1371571,1371629,1371628,2369415,3956361,6312529,9610678,13990112,13990533,9611027,6312793,3956574,3956575,6312795,9611030,13990538,19539005,17919413,17919409,24302928,31819245,40515949,50552315,62045067 Dl.O(d2) = 48496428,38581678,30009693,30009691,35035827,35035828,44410353,48197382,59583833,72318437,85911801,99867361,113886181,127761537,260661840,165573657,165573658,176250933,262548750,262548752,140844447,127485901,259739708,85646578,268794078,29457293,22123185,22123184,29457291,29457294,30302484,22903518,16672366,16672367,22903521,22903522,22903523,30302492,256992739,38888575,38888574,48810978,41287097,41287096,268200166,21010322,15090020,15090021,21010323,21867801,29178506,37739371,47661218,59061429,47661216,47661217,59061430,50265762,40246100,256671716,23253887,16991012,16991013,23253889,30669358,24055010,17700937,12520202,12520203,17700929,17700950,256032719,17701043,12520272,254604491,3374150,3374151,5483116,8482322,12520279,17701051,24055184,24055108,17700996,12520239,12520236,12520237,17700993,24055106,31559868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7916257, s2 = 15313596, dlinesl.size( ) = 2 s1 = 7916257, s2 = 15313596, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7916257, Dl.E( ) = 60, 2.5e-05 seconds used appending s1 = 13346169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6780730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 171203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162212, s2 = 2311855, int(edited[s2]) = 0 s1 = 14162212, s2 = 2311855, d1 = 11, d2 = 11 Dl.O(d1) = 84442876,98352667,259862966,70312674,58171359,57622247,57622246,70312638,74506692,61725806,50247353,40227512,40227511,40227544,31541219,31541218,38854795,48774735,40227515,31541196,24038057,24038056,31541194,40227510,50247350,40407715,31715531,24207856,17837898,17837899,24207836,17837888,12631624,8576565,5572434,3456558,2049024,2049025,3456559,5572437,8576570,12631633,17837901,24207857,31715533,40407718,40407717,40407716,50441810,59109464,71847989,258912997,61932523,61932524,74726313,259537723,116443780,260904424,260309984,259065538,65048323,53065318,42617587,42617588,53065317,42738601,33708994,25902660,254937528,13747825,9419479,6171816,3861870,2313509,2313512,2415581,2415586,4031000,254773945,4712927,4712926,7458449,11237584,16169827,22314889,29666659,38232849,31451176,31451177,38232786,48143130,59530564,49206855,49206854,39311740,39311738,36584912,28112431,28112433,23954641,17607977,17607976,23954639,31446921,24559193,18120801,12848979,12447085,12447084,17626820,23974774,31470815,32141177,24559181,24559182,254883682,31095316,39773702,31708078,31708075,40399730,37455866,37455868,47361975,58748836,50180086,40155053,31470799,24202165,24202166,256548863,50435994,61926471,74353273,74353258,74353259,85049593,74353247,74353248,87955542,74353283,61576528,61576531,74353286,75633197,62688611,51059075,51059074,49119517,39191426,267997454,50435976,47361992,47361991,53515860,48226775,38317294,38317293,47361978,40075832,31394495,31394496,40075835,50096644,61576489,58309357,46942875,46942876,58309359,71025010,84589335,86463037,257560518,61379822,257560526,49899295,48736044,48736045,60130759,72867594,72867597,86463050,76276295,74716026,268233464,87764837,74160414,61379833,61379834,61379838,74160420,72867582,60130750,60130751,268092830,86463039,86463040,78902460,78902459,87764838,87764839,98360194,84450506,70893644,58555004,58555003,71287099,84861619,74716025,61922880,50433021,50433022,61922883,74716019,256435900,50433017,61922875,74716017,87764842,87764843,87764854,74160421,65567263,65567262,61379819,255936494,87764836,257560514,84450512,70893648,58179599,58179598,70893645,84450508,98360196,105029307,100419848,86463076,72867623,60130795,255936498,70893635,76970780,76970781,90849650,102339947,88343731,88343732,257804364,121803993,115782560,115782558,129679051,126203157,115782554,101737430,87764833,256656708,76970819,257212986,90849646,257212984,52039347,41724166,32804057,25102139,25102140,32804060,41724173,52039358,63858976,76970831,90849676,90849678,86463061,86463060,100419837,105029302,257703728,78429467,65147433,65147432,268457786,65147422,65147423,78429459,257119036,90849694,90849693,105029317,103238392,89148282,89148281,78455912,65172847,53187902,42738601,33708993,25902660,19241844,13747825,9419479,6171816,6171814,6134280,6134284,9364840,13674992,19150969,25796553,19841437,19841436,25904025,19243088,14215468,9772701,9772702,9315911,9315908,13604776,19057287,19057147,19057144,25679565,25901874,19241128,13747234,13747233,19241120,19167837,13687571,13687570,19167831,13692795,9377481,9377480,13692788,10644670,10644669,15400920,13746535,9418462,6171048,6171046,6171900,3861915,2313527,2313523,2415581,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345724,9345720,13648076,19115831,19218019,19218017,256158599,42713343,53163014,50883864,40767816,32011767,32011766,40767812,50883855,49899285,49899286,61379810,74160385,75401249,75401250,62483315,50883869,40767821,32011771,24451315,24451314,32011769,254884062,62483308,75401292,89148289,89148271,75401276,62483297,50883862,255212826,50883853,62483284,256059908,52039356,41724171,41724170,50883857,62483288,62483343,50883889,40767838,32011786,32011785,40767836,50883887,62483338,75401327,89148314,89148252,75401255,62483281,62483280,75401253,89148248,78429440,78429439,257703742,87835307,87835308,101809229,106771375,92465661,78429445,78429444,92465660,78429448,76432064,63388361,51645605,51645604,63388359,76432061,90262700,104414774,100803396,100803382,100803383,258940168,86822206,73209491,73209492,60462783,256461782,49057450,60461141,73208099,86820907,271363687,86822258,86822197,86822198,74160387,74160386,73209547,60462768,49059146,39129188,39129189 Dl.O(d2) = 84442876,98352667,259862966,70312674,58171359,57622247,57622246,70312638,74506692,61725806,50247353,40227512,40227511,40227544,31541219,31541218,38854795,48774735,40227515,31541196,24038057,24038056,31541194,40227510,50247350,40407715,31715531,24207856,17837898,17837899,24207836,17837888,12631624,8576565,5572434,3456558,2049024,2049025,3456559,5572437,8576570,12631633,17837901,24207857,31715533,40407718,40407717,40407716,50441810,59109464,71847989,258912997,61932523,61932524,74726313,259537723,116443780,260904424,260309984,259065538,65048323,53065318,42617587,42617588,53065317,42738601,33708994,25902660,254937528,13747825,9419479,6171816,3861870,2313509,2313512,2415581,2415586,4031000,254773945,4712927,4712926,7458449,11237584,16169827,22314889,29666659,38232849,31451176,31451177,38232786,48143130,59530564,49206855,49206854,39311740,39311738,36584912,28112431,28112433,23954641,17607977,17607976,23954639,31446921,24559193,18120801,12848979,12447085,12447084,17626820,23974774,31470815,32141177,24559181,24559182,254883682,31095316,39773702,31708078,31708075,40399730,37455866,37455868,47361975,58748836,50180086,40155053,31470799,24202165,24202166,256548863,50435994,61926471,74353273,74353258,74353259,85049593,74353247,74353248,87955542,74353283,61576528,61576531,74353286,75633197,62688611,51059075,51059074,49119517,39191426,267997454,50435976,47361992,47361991,53515860,48226775,38317294,38317293,47361978,40075832,31394495,31394496,40075835,50096644,61576489,58309357,46942875,46942876,58309359,71025010,84589335,86463037,257560518,61379822,257560526,49899295,48736044,48736045,60130759,72867594,72867597,86463050,76276295,74716026,268233464,87764837,74160414,61379833,61379834,61379838,74160420,72867582,60130750,60130751,268092830,86463039,86463040,78902460,78902459,87764838,87764839,98360194,84450506,70893644,58555004,58555003,71287099,84861619,74716025,61922880,50433021,50433022,61922883,74716019,256435900,50433017,61922875,74716017,87764842,87764843,87764854,74160421,65567263,65567262,61379819,255936494,87764836,257560514,84450512,70893648,58179599,58179598,70893645,84450508,98360196,105029307,100419848,86463076,72867623,60130795,255936498,70893635,76970780,76970781,90849650,102339947,88343731,88343732,257804364,121803993,115782560,115782558,129679051,126203157,115782554,101737430,87764833,256656708,76970819,257212986,90849646,257212984,52039347,41724166,32804057,25102139,25102140,32804060,41724173,52039358,63858976,76970831,90849676,90849678,86463061,86463060,100419837,105029302,257703728,78429467,65147433,65147432,268457786,65147422,65147423,78429459,257119036,90849694,90849693,105029317,103238392,89148282,89148281,78455912,65172847,53187902,42738601,33708993,25902660,19241844,13747825,9419479,6171816,6171814,6134280,6134284,9364840,13674992,19150969,25796553,19841437,19841436,25904025,19243088,14215468,9772701,9772702,9315911,9315908,13604776,19057287,19057147,19057144,25679565,25901874,19241128,13747234,13747233,19241120,19167837,13687571,13687570,19167831,13692795,9377481,9377480,13692788,10644670,10644669,15400920,13746535,9418462,6171048,6171046,6171900,3861915,2313527,2313523,2415581,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345724,9345720,13648076,19115831,19218019,19218017,256158599,42713343,53163014,50883864,40767816,32011767,32011766,40767812,50883855,49899285,49899286,61379810,74160385,75401249,75401250,62483315,50883869,40767821,32011771,24451315,24451314,32011769,254884062,62483308,75401292,89148289,89148271,75401276,62483297,50883862,255212826,50883853,62483284,256059908,52039356,41724171,41724170,50883857,62483288,62483343,50883889,40767838,32011786,32011785,40767836,50883887,62483338,75401327,89148314,89148252,75401255,62483281,62483280,75401253,89148248,78429440,78429439,257703742,87835307,87835308,101809229,106771375,92465661,78429445,78429444,92465660,78429448,76432064,63388361,51645605,51645604,63388359,76432061,90262700,104414774,100803396,100803382,100803383,258940168,86822206,73209491,73209492,60462783,256461782,49057450,60461141,73208099,86820907,271363687,86822258,86822197,86822198,74160387,74160386,73209547,60462768,49059146,39129188,39129189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162212, s2 = 2311855, dlinesl.size( ) = 2 s1 = 14162212, s2 = 2311855, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14162212, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 7881951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7881951, s2 = 11138618, int(edited[s2]) = 0 s1 = 7881951, s2 = 11138618, d1 = 52, d2 = 0 Dl.O(d1) = 2312828,2321674,2321679,2346974,3920730,2352454,2352456,3927507,6272891,6275099,6275712,9563724,9541620,9541622,6377946,4001628,2398023,1387663,1387665,2398026,4001435,4001436,6274548,6261123,3919732,2346343,2346345,3919735,6261127,6377697,6377698,9697011,9473706,9473707,11459583,11459582,9420790,6276258,6276257,3930761,3930759,6143553,3844130,2303398,1336690,1336691,2291758,1329740,1329741,2291761,3825180,3861628,2313410,2313412,3861564,3861563,2313563,2313561,2415583 Dl.O(d2) = 1341715,2285194,3814801,6097216,8635378,5615748,3488418,2071934,1190056,1190054,685700,685698,1214671,2108647,3541921,5693343,8745069,12859556,18135010,256069569,40941469,51083874,62715011,258953481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7881951, s2 = 11138618, dlinesl.size( ) = 6 s1 = 7880574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13158509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10176175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10176175, s2 = 11012235, int(edited[s2]) = 0 s1 = 10176175, s2 = 11012235, d1 = 20, d2 = 3 Dl.O(d1) = 49776334,39757610,31079915,255515302,268250539,31079914,39757609,49776332,61255135,74035191,77873735,74035174,61255120,49776324,39757605,39757607 Dl.O(d2) = 11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,11206531,11206533,13485876,9226598,9226599,13485873,15882341,18927747,13493503,13493505,15882390,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424752,9178608,8471150,8471151,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1399235,796430,451460,451455,796409,1399156,267816798,6428354,9776839,14221375,19850290,26665625,32403564,26964962,26617144,19808050,19808051,24764071,32384531,269043213,34613021,34613022,32805963,25103914,18555132,13184507,13184506,18555128,17192152,12089006,10386830,6845265,4295196,4295198,6845272,10307596,10307597,14968379,10300554,6772974,5584906,5584903,8595333,12095519,8134510,8134512,10388987,10388989,9129142,267859217,3736160,267929601,13312623,13312622,13896661,17193637,13896267,9535718,6255917,3916251,2344190,2344189,3916241,6104705,3819724,3819725,5865715,6080382,3805849,2279833,2279829,3805902,6082316,9284841,13561339,19002103,256141001,42115255,52467890,64335556,77499916,91431051,88031375,74420879,61639309,50155769,50155770,270388489,259164012,66902580,54645377,43902201,34629727,26639815,26639816,256724105,54645378,57610461,46265972,36413213,36413214,46265966,36413208,36413209,46265968,54645358,54645359,60514626,60514627,73260663,67639285,55301042,44456529,35081622,26996693,20105587,20105588,26996697,35081627,39733420,31055388,31055389,39733421,49752033,258225750,87616051,101583087,91271299,77351293,64203624,64203625,64203627,64203628,255181450,64203586,52353232,50142487,50142489,42013898,33069533,255181446,52353302,64203659 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858250, s2 = 10341529, int(edited[s2]) = 0 s1 = 7858250, s2 = 10341529, d1 = 54, d2 = 56 Dl.O(d1) = 261030582,259219342,257968838,268057294,10166480,14781945,20611368,19903389,14300911,9830858,6458005,4047977,2423370 Dl.O(d2) = 58805866,47418618,256346158,21685617,15646591,10829455,7158361,4508431,2709030,2709031,2708531,2708537,2263123,2263124,2263120,2263125,2263159,2263163,3778291,5735785,5735782,8805298,12942582,18245307,16815835,11758880,7851341,4983694,3010415,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010410,4983304,3010262,3010264,4983344,7850878,11758637,16815531,16820057,11762101,11762098,16820047,23069904,22622112,16437136,11452080,7617207,7617208,11452084,13939095,19477406,19872198,19872032,14237779,14237781,16816114,11759120,11759122,9787532,6434637,6434639,9787541,14237837,19872128,16442432,16442433,22628704,23075578,16823908,11764532,10661563,7040980,4430762,2659612,1748533,994258,994255,1748564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858250, s2 = 10341529, dlinesl.size( ) = 8 s1 = 9691272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16195989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16195989, s2 = 13291148, int(edited[s2]) = 0 s1 = 16195989, s2 = 13291148, d1 = 10, d2 = 16 Dl.O(d1) = 71604112,58884420 Dl.O(d2) = 20010764,26891840,25480731,256130363,41443699,32577154,32577153,41443697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16195989, s2 = 13291148, dlinesl.size( ) = 2 s1 = 16195989, s2 = 13291148, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 16195989, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 111519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 392818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 175007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7883610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7883610, s2 = 112249, int(edited[s2]) = 0 s1 = 7883610, s2 = 112249, d1 = 1, d2 = 1 Dl.O(d1) = 255510654,255732260,27247587,27247589,35371865,35378203,44802816,51564205,41342158,39410487,30805482,23377386,17107643,16270606,11313608,11313604,255473333,27089160,20190954,254980689,4104053,6551115,9967912,6551185,4104091,2454870,2454869,4104086,6551175,9967998,14486491,20190129,260407247 Dl.O(d2) = 255510654,255732260,27247587,27247589,35371865,35378203,44802816,51564205,41342158,39410487,30805482,23377386,17107643,16270606,11313608,11313604,255473333,27089160,20190954,254980689,4104053,6551115,9967912,6551185,4104091,2454870,2454869,4104086,6551175,9967998,14486491,20190129,260407247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7883610, s2 = 112249, dlinesl.size( ) = 2 s1 = 7883610, s2 = 112249, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7883610, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 175146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8560803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10138700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10138700, s2 = 175626, int(edited[s2]) = 0 s1 = 10138700, s2 = 175626, d1 = 4, d2 = 1 Dl.O(d1) = 255930018 Dl.O(d2) = 4113837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10138700, s2 = 175626, dlinesl.size( ) = 2 s1 = 10138700, s2 = 175626, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10138700, Dl.E( ) = 14, 1.91e-05 seconds used appending s1 = 10138462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7962656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7962656, s2 = 6432993, int(edited[s2]) = 0 s1 = 7962656, s2 = 6432993, d1 = 77, d2 = 79 Dl.O(d1) = 14916700,10257113,254480011,4223444 Dl.O(d2) = 20812293,254321042,10256886,10256885 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 178111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 178111, s2 = 1359613, int(edited[s2]) = 0 s1 = 178111, s2 = 1359613, d1 = 5, d2 = 70 Dl.O(d1) = 4244036 Dl.O(d2) = 34250307,28030495,20863044,14961166,14961167,20863046,28030498,36492950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 178111, s2 = 1359613, dlinesl.size( ) = 2 s1 = 178111, s2 = 1359613, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 178111, Dl.E( ) = 100, 2.88e-05 seconds used appending s1 = 178390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6443103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 114722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6443349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 179083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 179365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162096, s2 = 7962240, int(edited[s2]) = 0 s1 = 14162096, s2 = 7962240, d1 = 11, d2 = 11 Dl.O(d1) = 274549273,263070512,268065188,2569444,254156165,471221,471222,836208,1479328,1112328,624170,624164,1112332,1947178,3309824,4236576,3308687,1946498,1946497,1946492,1111970,1111971,1946495,1946663,1946461,1111957,1111958,1471635,1471636,2229113,2229112,1464604,828799,467675,263092,263094,467679,254155277,829661,468124,468125,829663,1466306,254323437,6790562,10321193,14931109,10337176,6804489,6804488,6783237,4252190,2542046,2542047,1469326,1469327,2540670,2540669,4249844,6779920,6823983,10327352,6847997,4296986,2568995,1479064,254118227,471153,471160,264728,264729,471162,836091,1479089,2569035,3708280,3708281,2918657,254074750,962798,1693092,2918665,4843202,7654351,10284154,10369113,6831434,6831433,5923970,5923969,6769305,4242600,4242599,6769302,268062705,10298952,10298953,12562100,10309046,10309044,6832560,4286687,4286688,6832563,9092011,9092010,13310935,14234162,9785073,6433187,4035712,4035713,5926908,9064295,13279975,10984565,10984566,10269377,6748473,6748472,6794006,6794003,5936648,3712038,3712039,5936656,7612987,7612985,10414739,10414740,9071584,6784370,4253007,2542546,2542545,4253014,6784382,9081343,10315754,9097206,5951919,3722205,3722206,5413221,8130672,255153943,23476709,30913411,39523892,38134708,29568544,22222091,16089436,11174670,7414005,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,267927666,32839435,32839436,32414161,24789084,18306627,18306626,24789082,32414159,38322739,38322738,32838001,32837999,37760652,37760651,256656542,58046531,52869782,50356774,42282862,33301742 Dl.O(d2) = 274549273,263070512,268065188,2569444,254156165,471221,471222,836208,1479328,1112328,624170,624164,1112332,1947178,3309824,4236576,3308687,1946498,1946497,1946492,1111970,1111971,1946495,1946663,1946461,1111957,1111958,1471635,1471636,2229113,2229112,1464604,828799,467675,263092,263094,467679,254155277,829661,468124,468125,829663,1466306,254323437,6790562,10321193,14931109,10337176,6804489,6804488,6783237,4252190,2542046,2542047,1469326,1469327,2540670,2540669,4249844,6779920,6823983,10327352,6847997,4296986,2568995,1479064,254118227,471153,471160,264728,264729,471162,836091,1479089,2569035,3708280,3708281,2918657,254074750,962798,1693092,2918665,4843202,7654351,10284154,10369113,6831434,6831433,5923970,5923969,6769305,4242600,4242599,6769302,268062705,10298952,10298953,12562100,10309046,10309044,6832560,4286687,4286688,6832563,9092011,9092010,13310935,14234162,9785073,6433187,4035712,4035713,5926908,9064295,13279975,10984565,10984566,10269377,6748473,6748472,6794006,6794003,5936648,3712038,3712039,5936656,7612987,7612985,10414739,10414740,9071584,6784370,4253007,2542546,2542545,4253014,6784382,9081343,10315754,9097206,5951919,3722205,3722206,5413221,8130672,255153943,23476709,30913411,39523892,38134708,29568544,22222091,16089436,11174670,7414005,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,267927666,32839435,32839436,32414161,24789084,18306627,18306626,24789082,32414159,38322739,38322738,32838001,32837999,37760652,37760651,256656542,58046531,52869782,50356774,42282862,33301742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162096, s2 = 7962240, dlinesl.size( ) = 2 s1 = 14162096, s2 = 7962240, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14162096, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7838940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9333419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9346098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162292, s2 = 14163923, int(edited[s2]) = 0 s1 = 14162292, s2 = 14163923, d1 = 1, d2 = 1 Dl.O(d1) = 12207821,12207822,17333021,20124460,20124459,17258310,12138474,12138473,16330790,12170928,8202935,5274004,5241313,5241308,8172180,11405334,11405333,16387328,12081313,12081312,8203190,5274289,5274283,8203207,12171150,11364816,7550462,4774963,4774959,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088317,3246381,3246382,5295295,8224907,12141960,12141959,12135246,8165231,5235033,5235035,8165237,12135254,12170857,17292055,23605134,29880299,22528106,16355348,16355350,16350048,267797358,7558742,8241676,12210761,16459232,16459231,22479890,22777374,22083802,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,4775111,7550699,11365188,16334825,17513205,21297221,15329919,254534460,22023491,22023493,254391942,17274618,17272175,12151401,8181594,255158725,254520350,22512272,16338414,11367833,7552348,7552347,7551888,4775758,4775759,7551890,11367091,16337421,16334434,11364877,11364875,7554802,4777350,2879197,2879199,4777353,3197773,1871807,1871808,2879190,4777331,7554765,8168849,7305245,4609687,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559553,11377401,7558741,4779677,2880395,1671514,1671515,2880396,4779679,7558744,11377404,16350054,22523126,17319146,16351416,16351415,12132829,12132828,10846450,10846453,15667947,21710138,22494199,22487515,16314850,16314845,16788219,22492188,16318873,16318874,16320454,11354472,11351638,11351637,16316046,22488905,16323176,16323174,22497231,22474846,22474847,21101932,21101933,22472356,22472354,21294699,21294698,28515869,37015351,29856998,267842790,37000927,28503440,21297811,21297812,16345062,11373083,11373084,11346791,11346787,16308202,22479026,22777011,22083430,15977530,15977532,22083435,23038270,22472576,16302975,11343509,7538274,7538273,11343503,16302967,22472561,21285030,15321211,10582234,10582235,11544677,16562206,22490414,22777484,22019471,22019470,16562042,11544564,7680542,7543067,4771105,4771104,7356076,6983927,4388434,4388435,6983913,6983869,254389314,15327901,21294407,28515637,254577662,16349460,16349461,21095569,17282006,17282007,22477559,22530002,16357386,16357385,22530000,22972604,22972605,16768694,16768693,16768869,11722607,7825075,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150874,12119460,254519132,31025799,267828750,35355590,35355589,28516191,21295054,15328357,15328356,21295051,28516186,27015279,20122865,14431219,9926863,6524154,6524153,9926861,14431215,20122856,16768298,11721915,11721916,16768300,23007744,30412799,28424658,21201389,15236170,15236169,21201385,28424646,29354845,28891380,22386021,22386018,29307437,29307436,37876271,29871239,22512106,22512105,29871238,22568051,16387277,16387278,20122980,14431314,14431315,255443628,255443626,24115329,17754325,17754326,24115331,254590342,38959870,30374356,30374355,37015529,28516180,21295047,15328352,15328353,254530250,36811611,28315490,28315489,36811692,30782593,30782592,28301101,28301099,36798352,36800704,29576599,29576601,31620691,31620689,24115396,24115397,28891575,28891574,28300888,28300890,36797611,36797613,36799367,30757320,23334733,17260236,12140094,8169540,8169543,12140104,17260259,17699374,17699372,24053159,28304695,21095579,21095580,22963016,22963015,20962081,20962082,21093657,21093656,28302431,29576551,29576552,28302184,21093419,15151366,10449332,6888476,6888475,10449330,255378102,28302173,31091991,23608347,23608348,28300928,28086096,28086094,36555118,46418333,57772123,46683121,255546690,21091791,15150354,15150353,10449310,10449308,15151316,21093316,28302052,28424585,28303810,21094838,21094839,28303812,36797592,36797591,30493092,23079447,21094501,15152157,15152158,21093046,27233874,25087458,25087459,28472657,21252660,15287803,15287805,19351928,13840602,9493735,7123969,7123967,7538522,7538523,11344031,16303881,21095241,21092125,15150547,15150546,21092119,21091718,15150470,15150466,10448827,10448825,15150459,20304499,20304500,27233782,21094936,21094933,28303940,33849917,42894724,47890309,37972193,29408436,29408437,32787816,29511306,22170277,22170279,27234047,21692170,15651999,15652001,21692171,28974732,37518432,38422976,34561266,32786946,25089084,18543827,13176138,13176141,18543833,13176500,13176502,18544451,19365931,19365930,26045084,33867185,37522719,47430291,52013987,41703246,32787739,25089981,18544539,18544538,25089979,32787737,41703243,32787813,25090061,25090060,32787811,41703296,46789309,36911639,28414067,28414068,254356448,33864988,28413995,21192286,21192287,28413997,24079737,17722523,17329392,17329394,23646260,22677181,16480254,11482852,7637597,4832087,3142398,1837830,1491759,1491761,2587670,4325209,6889726,10451559,15154836,21098112,28307950,36804947,46689092,58062202,61225678,58064108,58064109,59798707,48413694,48413693,59798705,70779872,70719629,70719628,84271352,98166384,84375916,70816945,58099794,58003152,46627051,46627050,46727715,269773313,46727717,36844598,28347059,255381617,15184139,21133852,28347056,255992860,255543370,37195751,28673430,21425720,15433640,15433638,21425715,25493107,18888505,13460480,12113178,12113177,13153818,18513458,255155536,41649490,51956323,63771186,258234588,64350585,53108633,42656799,33627976,25825995,25825996,33627977,25826001,19174490,19174491,25826004,32193730,24605397,18156874,18156876,24605401,18833742,13418754,9174744,6004963,6004962,9174740,13418743,18833727,25427134,268422452,52480477,42787398,42787400,53238699,53238700,65227387,78516805,73501290,60752302,49349382,256488210,23385552,17114311,12026747,8085566,8022698,267837997,3103974,5111597,8022700,8040269,8029560,5118627,5118629,5142373,8041688,5132084,3119950,1823483,1040862,586107,586105,1040857,1823470,3119925,5132046,7522276,4756423,2866831,1663921,946692,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591191,1051098,1841742,1841744,3148262,3148265,3148879,3148878,3151421,3151422,5125682,3114738,3114739,3191228,1867696,1867695,3191207,3191208,5229575,5175650,5175649,8076209,8032253,5121643,5121640,8031649,9857506,8031763,5121078,5121018,3111149,1818039,1818037,3111143,5121004,4755218,4755220,7521120,11324959,16283784,14348096,9858160,6475705,6475704,9857393,9857427,6475110,6475111,9857442,7793768,4941678,4941679,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058190,6475962,9858549,8054745,8054746,12001365,9858666,9858665,14348671,254369270,7358501,4648211,267766034,923529,1624165,2799862,4648219,7358516,11095403,15982354,254127320,11686039,15982488,15982489,11680645,7788866,7788865,11680641,7796639,7796640 Dl.O(d2) = 12207821,12207822,17333021,20124460,20124459,17258310,12138474,12138473,16330790,12170928,8202935,5274004,5241313,5241308,8172180,11405334,11405333,16387328,12081313,12081312,8203190,5274289,5274283,8203207,12171150,11364816,7550462,4774963,4774959,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088317,3246381,3246382,5295295,8224907,12141960,12141959,12135246,8165231,5235033,5235035,8165237,12135254,12170857,17292055,23605134,29880299,22528106,16355348,16355350,16350048,267797358,7558742,8241676,12210761,16459232,16459231,22479890,22777374,22083802,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,4775111,7550699,11365188,16334825,17513205,21297221,15329919,254534460,22023491,22023493,254391942,17274618,17272175,12151401,8181594,255158725,254520350,22512272,16338414,11367833,7552348,7552347,7551888,4775758,4775759,7551890,11367091,16337421,16334434,11364877,11364875,7554802,4777350,2879197,2879199,4777353,3197773,1871807,1871808,2879190,4777331,7554765,8168849,7305245,4609687,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559553,11377401,7558741,4779677,2880395,1671514,1671515,2880396,4779679,7558744,11377404,16350054,22523126,17319146,16351416,16351415,12132829,12132828,10846450,10846453,15667947,21710138,22494199,22487515,16314850,16314845,16788219,22492188,16318873,16318874,16320454,11354472,11351638,11351637,16316046,22488905,16323176,16323174,22497231,22474846,22474847,21101932,21101933,22472356,22472354,21294699,21294698,28515869,37015351,29856998,267842790,37000927,28503440,21297811,21297812,16345062,11373083,11373084,11346791,11346787,16308202,22479026,22777011,22083430,15977530,15977532,22083435,23038270,22472576,16302975,11343509,7538274,7538273,11343503,16302967,22472561,21285030,15321211,10582234,10582235,11544677,16562206,22490414,22777484,22019471,22019470,16562042,11544564,7680542,7543067,4771105,4771104,7356076,6983927,4388434,4388435,6983913,6983869,254389314,15327901,21294407,28515637,254577662,16349460,16349461,21095569,17282006,17282007,22477559,22530002,16357386,16357385,22530000,22972604,22972605,16768694,16768693,16768869,11722607,7825075,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150874,12119460,254519132,31025799,267828750,35355590,35355589,28516191,21295054,15328357,15328356,21295051,28516186,27015279,20122865,14431219,9926863,6524154,6524153,9926861,14431215,20122856,16768298,11721915,11721916,16768300,23007744,30412799,28424658,21201389,15236170,15236169,21201385,28424646,29354845,28891380,22386021,22386018,29307437,29307436,37876271,29871239,22512106,22512105,29871238,22568051,16387277,16387278,20122980,14431314,14431315,255443628,255443626,24115329,17754325,17754326,24115331,254590342,38959870,30374356,30374355,37015529,28516180,21295047,15328352,15328353,254530250,36811611,28315490,28315489,36811692,30782593,30782592,28301101,28301099,36798352,36800704,29576599,29576601,31620691,31620689,24115396,24115397,28891575,28891574,28300888,28300890,36797611,36797613,36799367,30757320,23334733,17260236,12140094,8169540,8169543,12140104,17260259,17699374,17699372,24053159,28304695,21095579,21095580,22963016,22963015,20962081,20962082,21093657,21093656,28302431,29576551,29576552,28302184,21093419,15151366,10449332,6888476,6888475,10449330,255378102,28302173,31091991,23608347,23608348,28300928,28086096,28086094,36555118,46418333,57772123,46683121,255546690,21091791,15150354,15150353,10449310,10449308,15151316,21093316,28302052,28424585,28303810,21094838,21094839,28303812,36797592,36797591,30493092,23079447,21094501,15152157,15152158,21093046,27233874,25087458,25087459,28472657,21252660,15287803,15287805,19351928,13840602,9493735,7123969,7123967,7538522,7538523,11344031,16303881,21095241,21092125,15150547,15150546,21092119,21091718,15150470,15150466,10448827,10448825,15150459,20304499,20304500,27233782,21094936,21094933,28303940,33849917,42894724,47890309,37972193,29408436,29408437,32787816,29511306,22170277,22170279,27234047,21692170,15651999,15652001,21692171,28974732,37518432,38422976,34561266,32786946,25089084,18543827,13176138,13176141,18543833,13176500,13176502,18544451,19365931,19365930,26045084,33867185,37522719,47430291,52013987,41703246,32787739,25089981,18544539,18544538,25089979,32787737,41703243,32787813,25090061,25090060,32787811,41703296,46789309,36911639,28414067,28414068,254356448,33864988,28413995,21192286,21192287,28413997,24079737,17722523,17329392,17329394,23646260,22677181,16480254,11482852,7637597,4832087,3142398,1837830,1491759,1491761,2587670,4325209,6889726,10451559,15154836,21098112,28307950,36804947,46689092,58062202,61225678,58064108,58064109,59798707,48413694,48413693,59798705,70779872,70719629,70719628,84271352,98166384,84375916,70816945,58099794,58003152,46627051,46627050,46727715,269773313,46727717,36844598,28347059,255381617,15184139,21133852,28347056,255992860,255543370,37195751,28673430,21425720,15433640,15433638,21425715,25493107,18888505,13460480,12113178,12113177,13153818,18513458,255155536,41649490,51956323,63771186,258234588,64350585,53108633,42656799,33627976,25825995,25825996,33627977,25826001,19174490,19174491,25826004,32193730,24605397,18156874,18156876,24605401,18833742,13418754,9174744,6004963,6004962,9174740,13418743,18833727,25427134,268422452,52480477,42787398,42787400,53238699,53238700,65227387,78516805,73501290,60752302,49349382,256488210,23385552,17114311,12026747,8085566,8022698,267837997,3103974,5111597,8022700,8040269,8029560,5118627,5118629,5142373,8041688,5132084,3119950,1823483,1040862,586107,586105,1040857,1823470,3119925,5132046,7522276,4756423,2866831,1663921,946692,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591191,1051098,1841742,1841744,3148262,3148265,3148879,3148878,3151421,3151422,5125682,3114738,3114739,3191228,1867696,1867695,3191207,3191208,5229575,5175650,5175649,8076209,8032253,5121643,5121640,8031649,9857506,8031763,5121078,5121018,3111149,1818039,1818037,3111143,5121004,4755218,4755220,7521120,11324959,16283784,14348096,9858160,6475705,6475704,9857393,9857427,6475110,6475111,9857442,7793768,4941678,4941679,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058190,6475962,9858549,8054745,8054746,12001365,9858666,9858665,14348671,254369270,7358501,4648211,267766034,923529,1624165,2799862,4648219,7358516,11095403,15982354,254127320,11686039,15982488,15982489,11680645,7788866,7788865,11680641,7796639,7796640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162292, s2 = 14163923, dlinesl.size( ) = 2 s1 = 14162292, s2 = 14163923, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 14162292, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 181309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 181321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6443628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6443628, s2 = 9669014, int(edited[s2]) = 0 s1 = 6443628, s2 = 9669014, d1 = 27, d2 = 29 Dl.O(d1) = 254491628,2590303,1493220,845568 Dl.O(d2) = 842574,843117,843116,844140,844141,1490876,849451,849450,1494801,1494803,2586015,1490610,844032,844033,1490715,1485049,1485048,254327187,6869784,6869823,6870229,6870232,6870624,6870317,4313354,2579494,2579495,2576054,1483705,1483706,2576058,4308202,2578911,1485474,1484755,1484756,2577756,1485504,840318,840319,473881,266346,266343,473645,473646,839892,1484713,2577676,254489629,2578417,2578416,2592210,2592209,4314251,2580113,2580114,254490045,10424379,15108720,10423056,10423058,10442024,6883817,4321306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6443628, s2 = 9669014, dlinesl.size( ) = 2 s1 = 6443628, s2 = 9669014, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6443628, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 6443638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6443638, s2 = 181517, int(edited[s2]) = 0 s1 = 6443638, s2 = 181517, d1 = 73, d2 = 95 Dl.O(d1) = 254491693 Dl.O(d2) = 4331309,2591659,1494533,1494534,2591661,4302052,2572147,1494619,1494618,1485838,1485836,2579439,4313294,2591552,1494444,846703,478095,269072,269071,267750875,1493608,2590629,4330029,4330573,2590963,2577843,2577842,4311048,2579295,1485753,849489,479766,479768,849494,1498923,2590786,1493744,846092,477695,477696,846097,1493754,1491345,1491343,2586977,4323980,4330125,4330124,6898033,6898746,10465901,15175120,21123325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 813552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 813552, s2 = 6443637, int(edited[s2]) = 0 s1 = 813552, s2 = 6443637, d1 = 114, d2 = 86 Dl.O(d1) = 21126990,15178280,10468470,10468473,15178285,10468734,10468735,15178521,21116137,15170041,15170043,10468391,6900901,4332794,4332793,6900896,10468384,7357402,7357403,7357408,7357407,4647564,2799474,2799475,4647566,7357423,10469587,6902112,6902113,10467689,6900244,6900245,6988314,267750874,6988607,4391552,4391551,6988606,10593619,10483971,6912206,4341250,4341249,4341152,4334246,2594111,2594109,4334243,6902439,6901917,6901916,6898425,4330411 Dl.O(d2) = 254491692 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8487714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8487714, s2 = 14292744, int(edited[s2]) = 0 s1 = 8487714, s2 = 14292744, d1 = 4, d2 = 3 Dl.O(d1) = 37688181,29126075,29126076,37688185,47613376,48384773,38482186,29922145,22562782,16383287,16383289,22562788,29922157,38482201,32699666,25016356,18486742,13133636,8950967,5842313,5842311,8950961,13133623,18486717,25016307,32699582,41602440,51902392,63709229,73079383,73079382,72472308,59737155,59737156,72472310,76810646,63709231,63709230,64412800,257201153,33221181,25473821,18872976,18872693,13448646,13448644,18872900,13448685,13448688,18872945,25473775,33221101,42180463,52538745,259033411,77577971,91508666,77581415,77581416,91512372,100693975,91515076,91515078,100693616,114743459,119971934,105736878,91512914,77581812,77581811,91512913,105736876,105731180,271039220,86717786,86717785,100693979,112298124,105738996,98943510,257601450,86849704,86849983,77580567,77580568,70977039,70977038,84540337,86717188,86849796,77581897,64413352,64413354,73111929,60372365,48976235,42180893,33221377,33221378,42180803,52537377,64410008,77577957,91508647,105732713,119968045,259269648,104847576,91508648,91508649,105732714,259888498,77578951,64410853,64410852,64414494,259033731,105738456,257523052,64414516,64414515,64414523,64414522,77583327,86717949,73112162,60372554,60372551,73111735,73111736,60490128,60490127,73112070,257202290,39054494,257582683,61845624,50361381,40334054,40334052,50361380,48975959,39054241,39054243,48975967,52541002,52541001,64415508,259033805,105739153,119973859,133840312 Dl.O(d2) = 17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688757,1688753,2911049,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723862,21750769,29011581,21749330,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750002,21738837,21738840,15690852,15690853,15692837,21743767,21743747,15692823,15692820,21743743,29035487,256892105,29007883,29007884,37553698,37569077,37569078,39178374,39178375,47486340,37581081,31738640,24229587,17856898,12645772,12645773,11827795,7904392,7904393,11827799,16901371,15675798,10852213,10852211,15675746,15675747,21719839,29005720,29015874,21727796,21727793,21723864,15678782,15678784,21723874,21724466,21724470,21723888,15679267,15679263,21723513,15678578,15678579,21723522,21723718,29010190,37556383,37589159,37568624,37557752,29011349,29011347,21744453,15693341,10864042,7182899,7182898,255052261,21744449,256352439,47488627,58870051,47493614,47493613,257472523,256350463,29011170,256892437,58849706,47488089,256640452,21743963,15692977,15692973,21743950,29012484,21725237,21725236,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861485,7183012,7183011,10862900,7182126,4524576,4524577,7176707,10855191,10868187,15699628,21738408,21712769,15670229,15670230,10859707,10859708,10852116,7185516,4526839,2721166,1576808,1576806,2721162,4526829,4523511,4523510,7180679,10860990,10852022,10852021,7177934,4525865,4525864,4526027,7184233,7177097,7177098,7179158,4522700,4522701,7177973,4521736,4519340,2716348,2716347,1574526,1574530,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,896083,896085,1576130,2720083,4525148,7182900,10864044,15693345,21744461,17825600,12621198,8567495,8567494,12621196,17825594,24194801,31702418,40394615,47423805,47423806,37526329,258080017,46451038,36585283,36585282,46451036,36880781,28384273,28384274,30228936,30228935,38811700,39250448,49175493,59364726,59364725,61383374,74164101,72862786,60125934,60125935,61383516,49902946,39881906,39881907,49902949,47782857,37858889,37858887,38811016,43355817,38062349,38062348,47974423,40273330,31586407,31586405,40273327,50294631,47974302,38062206,35010794,26929073,26929075,35010797,30228196,22836401,22836400,28977618,36502326,46360387,36835892,28339075,28339076,28092639,28092638,28336872,28336871,36833506,46716078,37521376,37521377,39881790,39881741,37648098,29499493,27073153,256135926,44535466,46426962,46426963,46716076,55254635,55254634,256629438,39716955,257044731,46925713,38638124,30063843,22686051,22209768,22209767,29554599,38119712,38120453,37855700,29287412,29287413,37855703,257238091,65236319,78526643,74607485,74607486,72433986,59698313,48311320,38400458,29828112,22460812,16292998,268227801,29828114,38400463,48311328,59698322,72073156,59698320,59698321,59338894,59338895,258113510,47947281,38033558,29470775,22134878,16018903,11122271,11122273,16018906,20916976,20916975,255887645,22134421,16018599,11122103,11122091,255075677,22134389,29470094,29470354,29470353,38033148,29470782,29470781,38033564,47947290,59338887,47947277,47947276,59338884,72073153,85660351,85660355,72073155,72073154,85660352,99609953,113624531,127497308,140854171,153531310,261250432,260076550,99609899,259459960,127497240,133773158,258401532,159402000,170749492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8487714, s2 = 14292744, dlinesl.size( ) = 2 s1 = 8487714, s2 = 14292744, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8487714, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 15054615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 183315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6622023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13649205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339418, s2 = 10355976, int(edited[s2]) = 0 s1 = 10339418, s2 = 10355976, d1 = 14, d2 = 18 Dl.O(d1) = 256200960,14202129,9762926,6419034,6419033,255728271,19208712,268152359,9398820,9398816,13720907,19209264,19229568,19229567,13737900,13737902,19230241,25889796,259071659,257436310,255031454,2644069,2644070,2636164 Dl.O(d2) = 257436211,270288593,98529168,266099903,266663822,224360563,221935255,219110511,264749738,262695788,261699716,127357245,269802592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 120034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7861260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 187839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 420475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7953099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7953099, s2 = 6595835, int(edited[s2]) = 0 s1 = 7953099, s2 = 6595835, d1 = 42, d2 = 21 Dl.O(d1) = 18940789,13504659,13504660,255490531,11508477,7655838,4844260,2919343,1693553,254242891,2919088,4451966,2674553,1549242,880742,254159877,2674555 Dl.O(d2) = 256367863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7953099, s2 = 6595835, dlinesl.size( ) = 2 s1 = 7953099, s2 = 6595835, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7953099, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 286159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 201979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 136959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8018563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8018563, s2 = 191136, int(edited[s2]) = 0 s1 = 8018563, s2 = 191136, d1 = 0, d2 = 0 Dl.O(d1) = 37268064,28736075,28736076,21752260,15698999,10867765,10861028,10861027,15688994,21738751,29029531,37576724,39825415,40430550,50468258,58849975,58874409,47494041,37589605,29042034,21749384,21749386,29042036,37557980,29011578,21749331,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750002,21738837,21738840,15690852,15690853,10863720,7182704,4525001,2719975,1576057,1576055,2719965,4524972,7182661,10858402,10858404,10858067,10858071,10858325,10858322,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856298,24228675,31737455,29038724,21746469,21746471,29038731,37558035,37558036,47464174,37556873,29010668,255856637,255856635,37551280,47458903,58844409,47462975,37555480,37555478,47462973,58847892,47471821,37565093,36773791,36773790,31744553,30580947,23163441,16901213,16901214,23163445,30580949,39178764,49108453,47494076,37589665,29042115,21749476,15696815,10866166,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,7179335,10859210,10859402,7179461,7179459,10857190,10859404,15686542,21735340,29014260,21726596,21726594,29014256,29014247,29013060,21725646,21725645,21729963,15682898,255856661,15698147,10867082,7184952,7184953,10867084,15698153,255422625,10852717,10852716,10866021,10855168,7176689,4520793,2717266,2717265,1575095,1575098,2718283,2718351,4520174,7175682,4522977,4522976,7179928,4524054,4522822,4522821,267826555,1574016,1574018,2716424,2719362,1575692,895846,895848,1575697,896154,505516,283371,156462,85889,47128,26260,14809,14806,26246,47103,85835,156354,283147,505039,895083,895081,1574233,1573414,1573415,1574765,1573624,894761,894763,1573618,2715712,4518355,7173005,10850073,15672850,21716298,29001814,256891379 Dl.O(d2) = 37268064,28736075,28736076,21752260,15698999,10867765,10861028,10861027,15688994,21738751,29029531,37576724,39825415,40430550,50468258,58849975,58874409,47494041,37589605,29042034,21749384,21749386,29042036,37557980,29011578,21749331,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750002,21738837,21738840,15690852,15690853,10863720,7182704,4525001,2719975,1576057,1576055,2719965,4524972,7182661,10858402,10858404,10858067,10858071,10858325,10858322,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856298,24228675,31737455,29038724,21746469,21746471,29038731,37558035,37558036,47464174,37556873,29010668,255856637,255856635,37551280,47458903,58844409,47462975,37555480,37555478,47462973,58847892,47471821,37565093,36773791,36773790,31744553,30580947,23163441,16901213,16901214,23163445,30580949,39178764,49108453,47494076,37589665,29042115,21749476,15696815,10866166,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,7179335,10859210,10859402,7179461,7179459,10857190,10859404,15686542,21735340,29014260,21726596,21726594,29014256,29014247,29013060,21725646,21725645,21729963,15682898,255856661,15698147,10867082,7184952,7184953,10867084,15698153,255422625,10852717,10852716,10866021,10855168,7176689,4520793,2717266,2717265,1575095,1575098,2718283,2718351,4520174,7175682,4522977,4522976,7179928,4524054,4522822,4522821,267826555,1574016,1574018,2716424,2719362,1575692,895846,895848,1575697,896154,505516,283371,156462,85889,47128,26260,14809,14806,26246,47103,85835,156354,283147,505039,895083,895081,1574233,1573414,1573415,1574765,1573624,894761,894763,1573618,2715712,4518355,7173005,10850073,15672850,21716298,29001814,256891379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8018563, s2 = 191136, dlinesl.size( ) = 2 s1 = 8018563, s2 = 191136, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8018563, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14046719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13282149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8019551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8019551, s2 = 14582739, int(edited[s2]) = 0 s1 = 8019551, s2 = 14582739, d1 = 0, d2 = 0 Dl.O(d1) = 85196248,85196249,87095222,87095221,101092529,108700991,94414137,80360442,66934758,66934757,80360440,80360448,80360447,71631523,269615044,47529895,257290292,85196254,99118451,258507638,101092527,87095220,73477168,60728912,49326828,256472006,255970928,39398620,49326845,49326823,39398605,39398606,268660150,256392634,38158963,48071570,51385439,268970516,49326901,39398659,30795710,23369477,23369478,30795712,255970938,257509928,51385420,51385419,60728917,70983849,60728940,49326852,49326851,52013022,41701415,32784913,30795695,30795694,23369484,267900446,8073863,8073861,12015252,17100944,23369474,24756583,24756582,32375663,32375691,32375692,41194645,257016668,24756591,24756589,32375676,41194625,51385424,60728958,49326870,49326869,51385436,41194630,41194629,51385435,63074354,63074317,51385382,41194597,32375657,32375656,38090468,48001985,58269039,46903411,46903410,42867671,255891176,65326808,71419682,71419683,76646995,63564063,51781284,51781283,63564062,72121670,59390523,48002042,255453808,22184722,22184721,29526976,38090524,37386316,28846095,21574175,254099768,7105763,4473640,4473639,7105762,10755467,254123572,28846076,37386283,46329072,46329073,57675858,54672673,254767226,50693084,40633886,31918187,24385638,24385637,267872182,18278737,13043990,8884895,5794935,3636857,3636855,5828492,268006609,8965809,5852939,5754217,3583208,2135377,1232286,1232287,1238885,2144578,2144123,1238561,702401,702400,1238557,2144115,3595515,5771910,8855813,13007683,13009538,8857122,5772811,5772812,8857124,12776610,8684848,5651645,5651647,8684855,8746313,8746334,12861154,17991270,13007685,13007686,12782875,8689791,8689789,12782871,8696260,8657900,5631714,5631711,6440999,4040064,4040065,5591542,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,6585907,4126251,4126249,6585927,10020340,8310195,5362097,3296282,1938679,1938680,3296287,5362108,8310223,12303736,17453448,16519741,16519740,13638215,9339032,6117190,3827352,3827348,6117180,9339014,10782828,7124672,7124674,10782833,15587250,15587983,10783384,254483022,9965362,9965361,10053789,6606159,4138077,2475090,1430562,1430563,2475099,2474736,2474737,4137358,6604743,10051207,10046720,10046719,10048739,10048741,10391337,10391339,13637791,16520239,17497829,14611835,14611836,10274606,10053457,6605962,6605963,6753009,4231531,4231532,3816529,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4572093,7250473,9773777,9773798,268168975,16442097,22628224,29997047,38567525,38567523,38567522,47450228,37726814,29166818,29166817,29166315,256360503,29166274,37726306,36501531,28038279,20870273,20870274,28038284,36501539,46359575,37726759,37726762,46359560,46359559,57708738,48095686,47648472,37726557,37726530,37726528,37726521,29166528,21857442,21857441,21857449,21857450,29166543,37726536,37726785,37726798,37726799,47450247,37542269,29166272,21857185,21857184,29166269,37726301,29166516,21857435,15785455,10935702,10935703,15785458,21857440,28996911,28996912,28996929,255421857,15669800,15785267,10935870,10935869,15785651,12195198,8225404,8225403,7235810,4561455,2743109,1589746,903755,509706,285736,157900,157899,285734,509702,903746,1589727,2743074,4561395,7235704,10935727,15785492,21857481,29166590,37726455,37726602,47648525,59049645,47648327,37726424,29166405,29166406,29166717,29166716,37726727,47648644,59049702,47648423,37726479,29166472,21857384,21857385,29166475,37726484,47648425,47648424,59049703,67600618,67600620,55258921,44411349,35036809,256091368,39375727,42472512,42472513,37726430,29166412,29166414,37726432,41854013,39375716,39375715,39375720,39375719,49302929,60704757,61715170,55250033,55250034,63404643,73452988,61715160,50236133,256091356,29166646,29166645,37726653,47648568,59049833,59049837,71791189,268724838,73452998,60704778,49302953,49302954,52181993,52181994,49248649,39321980,39321981,49248651,60649133,64431043,60649086,257157238,51921769,41619578,32714297,25028524,25028523,32714295,41619575,49248630,60649103,63404678,76448562,77599998,64431025,64431024,77599997,87070443,73452996,73452995,73448768,60700799,60700800,73448769,84867684,255632558,71293476,71293478,76448586,74046055,74046054,73458952,61581471,50101600,49308449,49308448,49308458,39380693,39380692,47152566,47152567,58540940,71272591,70783001,58065567,46693085,46693086,58065569,59232826,47835632,47835633,59232828,60788229,49387321,39459007,30854630,268201296,26265972,19545643,19545644,26265974,30854637,254718580,12050649,12050648,17146576,23423782,30854627,39459001,49387316,60674678,67597819,57746054,46395402,46395403,57746059,49308439,39380678,39380679,36809716,28313034,28313035,36809718,35034186,35034187,44408788,53732451,60788202,49387290,39458982,35034191,35034190,44408794,44408796,35034193,26954128,20069775,20069776,26954130,35034196,39402158,49330236,44349705,44349706,55200041,67543762,70513781,57812395,46456218,46456219,57812396,70513783,84049147,84052786,70517667,57816386,258010689,70531610,64790883,52872072,49274188,49274189,59235563,59235562,71973178,59235557,47838340,47838339,59235555,71973175,77984575,257811047,257675325,40331371,33569601,33569600,36590045,46456227,42468390,268498861,25701709,256146905,42468337,42468323,33474891,25701693,25701692,25701723,25701737,19075528,13618362,9324984,6108256,3821911,3821912,6108259,9324989,7671303,4853861,2924949,1696707,267791831,4258987,2546128,2546127,4258984,6792859,10323711,14992673,268104525,268104523,10354951,268064257,20935255,28112020,36584517,28121332,20944022,15035647,15035646,20944018,20944041,15035659,10363370,6826743,4282833,4282835,6826746,10363375,15035668,20944053,22549516,29905679,38462951,36584492,36584493,46395459,48370655,46395434,36534654,28067994,20896845,14992733,10323750,10323749,14992731,20896842,28067992,36534650,28112013,20935250,20935251,28112014,36584508,46450239,57806127,70507281,65001033,53026370,42586579,33569555,25779399,25779398,33569553,42586576,46891104,58258159,58258158,63550762,51771156,41499210,41499211,51771159,63550766,74281600,87883928,74281594,61504954,50525075,50525076,61504956,51771164,51771163,257749153,61504968,50026909,40008304,37289518,28755674,21496352,15489901,15489902,18533340,25076158,32773372,31330166,23838695,17498813,17498812,23838693,25076213,25076212,256102695,25076232,25076231,255850334,32773496,25076261,25076260,32773494,32773448,32773429,25076203,25076202,32773427,32773432,41690067,52001865,63817365,60103277,52001947,52001946,52001915,41690128,32773482,25076250,25076249,32773480,41690125,52001909,63817398,76924408,90799177,99021898,93257629,93257628,86965683,73354127,60609126,49208646,255857654,23268497,17004971,17004972,23268500,30685295,36883218,28386786,21168510,21168511,28386787,36883219,30685303,23268511,17004983,17004982,17004979,11918238,7972999,5073509,3076457,3076456,5073507,7972994,11918229,11918231,11918232,7973003,5073511,5073510,7973001,255140867,17004960,11918223,11918222,11918230,255973393,28385117,21167040,21167039,28385115,255526669,17004963,23268483,30685271,39282215,49208626,257473054,86965675,98310901,84401508,70844185,58129777,46761657,36883203,255813231,21168490,28386769,36883189,36883190,46761635,46761638,46756212,46756211,46761637,58129774,58124624,58124625,58129781,257419717,36881818,36881817,256840989,28385256,28385255,28381000,21163492,15206983,10489539,6916534,6916533,10489537,15206979,21163486,28380993,28380994,36877345,268607875,28381040,28386825,21168550,15210843,10492451,6918892,255019627,21168548,28386824,36883257,46761704,58129816,67592590,65788414,53732391,257855137,79142605,87925178,258262399,61545982,65788474,65788473,61545978,50067944,40048609,31368188,31368189,40048610,49962141,39945356,257062151,50067937,40048600,31368172,31368173,31368175,23873395,17529058,12362957,254594851,3315619,1950459,1114260,1114261,1950461,3315623,5391989,8353735,12362982,17529098,23873452,31368123,31368203,40048617,34132542,26265946,19545613,13995926,13995924,255711891,13995845 Dl.O(d2) = 85196248,85196249,87095222,87095221,101092529,108700991,94414137,80360442,66934758,66934757,80360440,80360448,80360447,71631523,269615044,47529895,257290292,85196254,99118451,258507638,101092527,87095220,73477168,60728912,49326828,256472006,255970928,39398620,49326845,49326823,39398605,39398606,268660150,256392634,38158963,48071570,51385439,268970516,49326901,39398659,30795710,23369477,23369478,30795712,255970938,257509928,51385420,51385419,60728917,70983849,60728940,49326852,49326851,52013022,41701415,32784913,30795695,30795694,23369484,267900446,8073863,8073861,12015252,17100944,23369474,24756583,24756582,32375663,32375691,32375692,41194645,257016668,24756591,24756589,32375676,41194625,51385424,60728958,49326870,49326869,51385436,41194630,41194629,51385435,63074354,63074317,51385382,41194597,32375657,32375656,38090468,48001985,58269039,46903411,46903410,42867671,255891176,65326808,71419682,71419683,76646995,63564063,51781284,51781283,63564062,72121670,59390523,48002042,255453808,22184722,22184721,29526976,38090524,37386316,28846095,21574175,254099768,7105763,4473640,4473639,7105762,10755467,254123572,28846076,37386283,46329072,46329073,57675858,54672673,254767226,50693084,40633886,31918187,24385638,24385637,267872182,18278737,13043990,8884895,5794935,3636857,3636855,5828492,268006609,8965809,5852939,5754217,3583208,2135377,1232286,1232287,1238885,2144578,2144123,1238561,702401,702400,1238557,2144115,3595515,5771910,8855813,13007683,13009538,8857122,5772811,5772812,8857124,12776610,8684848,5651645,5651647,8684855,8746313,8746334,12861154,17991270,13007685,13007686,12782875,8689791,8689789,12782871,8696260,8657900,5631714,5631711,6440999,4040064,4040065,5591542,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,6585907,4126251,4126249,6585927,10020340,8310195,5362097,3296282,1938679,1938680,3296287,5362108,8310223,12303736,17453448,16519741,16519740,13638215,9339032,6117190,3827352,3827348,6117180,9339014,10782828,7124672,7124674,10782833,15587250,15587983,10783384,254483022,9965362,9965361,10053789,6606159,4138077,2475090,1430562,1430563,2475099,2474736,2474737,4137358,6604743,10051207,10046720,10046719,10048739,10048741,10391337,10391339,13637791,16520239,17497829,14611835,14611836,10274606,10053457,6605962,6605963,6753009,4231531,4231532,3816529,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4572093,7250473,9773777,9773798,268168975,16442097,22628224,29997047,38567525,38567523,38567522,47450228,37726814,29166818,29166817,29166315,256360503,29166274,37726306,36501531,28038279,20870273,20870274,28038284,36501539,46359575,37726759,37726762,46359560,46359559,57708738,48095686,47648472,37726557,37726530,37726528,37726521,29166528,21857442,21857441,21857449,21857450,29166543,37726536,37726785,37726798,37726799,47450247,37542269,29166272,21857185,21857184,29166269,37726301,29166516,21857435,15785455,10935702,10935703,15785458,21857440,28996911,28996912,28996929,255421857,15669800,15785267,10935870,10935869,15785651,12195198,8225404,8225403,7235810,4561455,2743109,1589746,903755,509706,285736,157900,157899,285734,509702,903746,1589727,2743074,4561395,7235704,10935727,15785492,21857481,29166590,37726455,37726602,47648525,59049645,47648327,37726424,29166405,29166406,29166717,29166716,37726727,47648644,59049702,47648423,37726479,29166472,21857384,21857385,29166475,37726484,47648425,47648424,59049703,67600618,67600620,55258921,44411349,35036809,256091368,39375727,42472512,42472513,37726430,29166412,29166414,37726432,41854013,39375716,39375715,39375720,39375719,49302929,60704757,61715170,55250033,55250034,63404643,73452988,61715160,50236133,256091356,29166646,29166645,37726653,47648568,59049833,59049837,71791189,268724838,73452998,60704778,49302953,49302954,52181993,52181994,49248649,39321980,39321981,49248651,60649133,64431043,60649086,257157238,51921769,41619578,32714297,25028524,25028523,32714295,41619575,49248630,60649103,63404678,76448562,77599998,64431025,64431024,77599997,87070443,73452996,73452995,73448768,60700799,60700800,73448769,84867684,255632558,71293476,71293478,76448586,74046055,74046054,73458952,61581471,50101600,49308449,49308448,49308458,39380693,39380692,47152566,47152567,58540940,71272591,70783001,58065567,46693085,46693086,58065569,59232826,47835632,47835633,59232828,60788229,49387321,39459007,30854630,268201296,26265972,19545643,19545644,26265974,30854637,254718580,12050649,12050648,17146576,23423782,30854627,39459001,49387316,60674678,67597819,57746054,46395402,46395403,57746059,49308439,39380678,39380679,36809716,28313034,28313035,36809718,35034186,35034187,44408788,53732451,60788202,49387290,39458982,35034191,35034190,44408794,44408796,35034193,26954128,20069775,20069776,26954130,35034196,39402158,49330236,44349705,44349706,55200041,67543762,70513781,57812395,46456218,46456219,57812396,70513783,84049147,84052786,70517667,57816386,258010689,70531610,64790883,52872072,49274188,49274189,59235563,59235562,71973178,59235557,47838340,47838339,59235555,71973175,77984575,257811047,257675325,40331371,33569601,33569600,36590045,46456227,42468390,268498861,25701709,256146905,42468337,42468323,33474891,25701693,25701692,25701723,25701737,19075528,13618362,9324984,6108256,3821911,3821912,6108259,9324989,7671303,4853861,2924949,1696707,267791831,4258987,2546128,2546127,4258984,6792859,10323711,14992673,268104525,268104523,10354951,268064257,20935255,28112020,36584517,28121332,20944022,15035647,15035646,20944018,20944041,15035659,10363370,6826743,4282833,4282835,6826746,10363375,15035668,20944053,22549516,29905679,38462951,36584492,36584493,46395459,48370655,46395434,36534654,28067994,20896845,14992733,10323750,10323749,14992731,20896842,28067992,36534650,28112013,20935250,20935251,28112014,36584508,46450239,57806127,70507281,65001033,53026370,42586579,33569555,25779399,25779398,33569553,42586576,46891104,58258159,58258158,63550762,51771156,41499210,41499211,51771159,63550766,74281600,87883928,74281594,61504954,50525075,50525076,61504956,51771164,51771163,257749153,61504968,50026909,40008304,37289518,28755674,21496352,15489901,15489902,18533340,25076158,32773372,31330166,23838695,17498813,17498812,23838693,25076213,25076212,256102695,25076232,25076231,255850334,32773496,25076261,25076260,32773494,32773448,32773429,25076203,25076202,32773427,32773432,41690067,52001865,63817365,60103277,52001947,52001946,52001915,41690128,32773482,25076250,25076249,32773480,41690125,52001909,63817398,76924408,90799177,99021898,93257629,93257628,86965683,73354127,60609126,49208646,255857654,23268497,17004971,17004972,23268500,30685295,36883218,28386786,21168510,21168511,28386787,36883219,30685303,23268511,17004983,17004982,17004979,11918238,7972999,5073509,3076457,3076456,5073507,7972994,11918229,11918231,11918232,7973003,5073511,5073510,7973001,255140867,17004960,11918223,11918222,11918230,255973393,28385117,21167040,21167039,28385115,255526669,17004963,23268483,30685271,39282215,49208626,257473054,86965675,98310901,84401508,70844185,58129777,46761657,36883203,255813231,21168490,28386769,36883189,36883190,46761635,46761638,46756212,46756211,46761637,58129774,58124624,58124625,58129781,257419717,36881818,36881817,256840989,28385256,28385255,28381000,21163492,15206983,10489539,6916534,6916533,10489537,15206979,21163486,28380993,28380994,36877345,268607875,28381040,28386825,21168550,15210843,10492451,6918892,255019627,21168548,28386824,36883257,46761704,58129816,67592590,65788414,53732391,257855137,79142605,87925178,258262399,61545982,65788474,65788473,61545978,50067944,40048609,31368188,31368189,40048610,49962141,39945356,257062151,50067937,40048600,31368172,31368173,31368175,23873395,17529058,12362957,254594851,3315619,1950459,1114260,1114261,1950461,3315623,5391989,8353735,12362982,17529098,23873452,31368123,31368203,40048617,34132542,26265946,19545613,13995926,13995924,255711891,13995845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8019551, s2 = 14582739, dlinesl.size( ) = 2 s1 = 8019551, s2 = 14582739, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8019551, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 9423870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7941003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7941003, s2 = 326104, int(edited[s2]) = 0 s1 = 7941003, s2 = 326104, d1 = 6, d2 = 9 Dl.O(d1) = 3235018,5281689,3258960,1914704,1183693,1183694,1886167,1886168,3218932,3253117,5263692,3218863,3218864,254503391,254503389,10725581,12170324,254834541,5243458,3202071,1874840,1874841 Dl.O(d2) = 21567740,28839251,29877837,29877836,254834540,18595381,13214528,9007836,5880139,3670956,2197246,2197247,3670958,5880142,254266444,18595386,13330217,12218689,12218687,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22456853,22456854,254517358,22554489,268074510,254506182,16336418,268074512,21893333,29206757,255416220,31122633,23636752,23636753,17704389,12522800,8484592,8484593,8171872,5240993,5240994,8171877,12142554,16334477,16334476,17277416,15104992,10418267,6867937,4310485,4310486,6867941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7941003, s2 = 326104, dlinesl.size( ) = 5 s1 = 7804777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 125698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10150551, s2 = 14162187, int(edited[s2]) = 0 s1 = 10150551, s2 = 14162187, d1 = 63, d2 = 58 Dl.O(d1) = 255199753,8575121,8575122,12629810,12629811,268263157,31712878,254869952,16194815,11257602,7473374,7473373,11257601,16194802,11257627,7473383,7473382,11257621,11257643,7473390,4723032,4723033,7473394,11257652,16194904,22343665,21057700,15125827,15125825,21057694,255138005,7924206,5037411,5037410,7924208,10819591,255419053,15528723,15528722,21545981,23203001,23203004,30625411,38263179,29697407,23370331,23370330,30796767,39223171,30625400,23202997,23202998,30625402,29697395,22343752,16194740,11257560,7473349,7473350,255088833,21545987,21545986,28814208,37353019,28814251,21546009,15528738,10739886,10739887,11127906,11127907,16027154,22146044,29484304,38047751,256439604,38051041,47960640,47960641,268921576,50219194,58676746,47285529,47285527,39385736 Dl.O(d2) = 174314575,183976205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 197327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6801702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6801702, s2 = 14482421, int(edited[s2]) = 0 s1 = 6801702, s2 = 14482421, d1 = 0, d2 = 0 Dl.O(d1) = 258670630,38141807,256343542,16094137,16094140,16094149,11178524,7416982,254352139,2824323,4687127,4698691,7435958,11206784,11178510,11178509,16094131,22227857,29575109,22227881,16094152,16094155,22227882,22227948,22227935,16094238,16094239,16094289,255047122,4687174,2824346,1638731,931860,525239,525238,931857,1638724,2824333,4687152,7417025,11178583,16094215,17109973,16841602,11777738,11777737,16841597,16927410,21653304,21653303,21653275,15618741,10806459,7140624,4496005,2701388,2701389,4496007,7140629,10806464,15618748,15621114,15618817,10806524,10806523,254338624,15624655,10810792,7143642,4498091,2702863,1566228,1566230,2702867,4498101,7143653,10810809,10808098,10808097,10808766,10810212,10810749,7143613,7143610,10808175,12763928,8674751,7143721,4498183,4498182,4496036,2701407,2701406,4496034,4498032,4498031,7141705,7141707,10808147,15621042,10808119,7141684,4497733,2702560,2702559,4497731,7143270,7140583,4495972,254121056,2702111,254338559 Dl.O(d2) = 258670630,38141807,256343542,16094137,16094140,16094149,11178524,7416982,254352139,2824323,4687127,4698691,7435958,11206784,11178510,11178509,16094131,22227857,29575109,22227881,16094152,16094155,22227882,22227948,22227935,16094238,16094239,16094289,255047122,4687174,2824346,1638731,931860,525239,525238,931857,1638724,2824333,4687152,7417025,11178583,16094215,17109973,16841602,11777738,11777737,16841597,16927410,21653304,21653303,21653275,15618741,10806459,7140624,4496005,2701388,2701389,4496007,7140629,10806464,15618748,15621114,15618817,10806524,10806523,254338624,15624655,10810792,7143642,4498091,2702863,1566228,1566230,2702867,4498101,7143653,10810809,10808098,10808097,10808766,10810212,10810749,7143613,7143610,10808175,12763928,8674751,7143721,4498183,4498182,4496036,2701407,2701406,4496034,4498032,4498031,7141705,7141707,10808147,15621042,10808119,7141684,4497733,2702560,2702559,4497731,7143270,7140583,4495972,254121056,2702111,254338559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6801702, s2 = 14482421, dlinesl.size( ) = 2 s1 = 6801702, s2 = 14482421, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6801702, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7931450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 128179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 128179, s2 = 4410808, int(edited[s2]) = 0 s1 = 128179, s2 = 4410808, d1 = 0, d2 = 31 Dl.O(d1) = 2850304 Dl.O(d2) = 173517047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 128179, s2 = 4410808, dlinesl.size( ) = 42 s1 = 1489258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8077960, s2 = 14623780, int(edited[s2]) = 0 s1 = 8077960, s2 = 14623780, d1 = 6, d2 = 31 Dl.O(d1) = 22660056,255475330,15323911,21288972,22193118,16064806,11154791,11154739,11154312,7398845,4674116,2815960,2815961,2815977,4674147,7398910,11154980,16065167,14166929,9739563,6404498,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,7865481,4992659,3016294,3016291,4992652,7865465,11780360,16845143,15134001,15133995,10437913,10437911,15133985,21068979,16466390,15180427,10470877,10470878,15180430,21128950,28340689,30035150,255899077 Dl.O(d2) = 48248631,59635672,72369791,85964274,260005441,99921649,99921648,85964279,72369794,59635674,59635673,72369792,85964276,99921648,85964279,72369794,258138991,59635672,72369791,259387409,113944724,260605651,260005443,99921649,99921648,85964279,72369794,258138991,59635672,258762445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077960, s2 = 14623780, dlinesl.size( ) = 2 s1 = 8077960, s2 = 14623780, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 8077960, Dl.E( ) = 34, 1.98e-05 seconds used appending s1 = 672843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7811975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 129457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 129457, s2 = 6588107, int(edited[s2]) = 0 s1 = 129457, s2 = 6588107, d1 = 6, d2 = 36 Dl.O(d1) = 2885707 Dl.O(d2) = 254358495,7569952,11393521,16371525,22547508,29903022,38459823,256143366,24681769,268277055,12920155,8789074,5724707,5724708,4245997,2538621,1462768,827870,467261,262895,262894,467258,827864,1462755,2538594,2561787,4284878,6829822,10367240,255369803,13314820,13314819,14964312,12094993,8598264,5587044,5587045,8598267,7274141,4587393,3703771,3703770,5923202,6746565,5950427,5950428,9095342,13314585,13294321,9076376,9076374,5955915,3724668,3724669,3707358,3704862,2218906,1287360,1287361,2218909,3704868,3712893,2223346,1289684,736212,418528,418527,736205,1289671,2223321,3712853,4254527,6786666,10296396,9079191,9079189,13297307,13305978,18698949,20964842,15062145,10386783,10386785,13306853,10398023,6854301,4301578,4301579,6854303,10398029,15075245,20988098,256287527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 129457, s2 = 6588107, dlinesl.size( ) = 2 s1 = 129457, s2 = 6588107, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 129457, Dl.E( ) = 38, 1.1e-05 seconds used appending s1 = 7807674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 305754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 202161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8104488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 22444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 203152, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9492896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7867297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7558128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7922784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 463775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8037430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 210221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 83723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 83723, s2 = 493788, int(edited[s2]) = 0 s1 = 83723, s2 = 493788, d1 = 15, d2 = 23 Dl.O(d1) = 1765415,3033548 Dl.O(d2) = 12558268,8514372,8514373,5512892,3400162,2004649,254137499,356784,356783,642799,1145900,2004644,3400080,3410696,3412692,267773421,1152030,2012398,3410410,5523797,254416589,1161360,651694,651693,1161359,2028408,2028660,3430913,5545199,8546811 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13232451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347508, s2 = 10145199, int(edited[s2]) = 0 s1 = 10347508, s2 = 10145199, d1 = 15, d2 = 15 Dl.O(d1) = 123670012,109478236,258535142,55362285,55361736,44515236,35138190,256224024,9949698,6539231,4097005,2451006,2451007,4097007,267947931,14461936,20159113,27052382,35138247,27058683,255748914,14467183,20165188,27058681,29419684,256224354,49021208,39091782,254978830,23081906,30495384,35157855,27071882,20176712,20176713,27071885,35157857,35138788,27053031,20159677,14462324,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,13740526,9414057,9414058,13740528,19232649,25892025,25891961,19232591,13740498,255286139,25891959,33698001,35140743,44517297,44516903,35140310,27054726,20161227,20161226,20172292,14473140,9958146,9958145,14473137,20172288,260072033,257020349,256477354,3084667,1800572,1791259,1021595,575623,575624,893553,893552,1571647,2713087,4511360,3078653,3078652,3084216,1800193,1027345,578844,323775,323776,578845,1027346,1800194,3074152,5070611,254818339,254252303,1014346,1014347,1779096,3040963,3040962,1790588,1021152,575407,322027,178026,178025,179418,98672,54551,54550,98664,179399,324826,580862,1028902,579755,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1573236,1573237,2715120,3084709,3078594,3078595,1801719,1801717,3078772,5076587,3078605,3078606,1796571,1025117,577640,577639,1025114,1796567,3078823,5042894,3053458,1779002,1014289,571737,571738,1014292,1779006,3053462,3077488,5064770,5076668,5044153,254562055,3055917,1792886,1022669,1022668,1792878,3073563,5061851,3087327,3056187,1781147,1015684,1015686,1781149,3056191,5045737,5045729,3056182,1781142,1781143,254254943,5092966,3122910,1825325,1825329,3122916,5066675,254178382,1021159,1021162,1790612,1786804,1786807,3065259,1795339,1024318,1024315,1795328,3076938,5074204,7953471,11211661,16139432,16139195,16139194,22283290,29635575,254821682,255146290,267900927,3072887,1792264,254129703,322394,576140,1017032,573256,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,178425,98296,54366,30757,17749,17748,30752,54351,98257,178539,322923,322925,322972,575492,322068,322072,575503,578413,571346,571345,571588,571585,1014042,1016649,573043,573045,1016655,1780277,1780275,3055142,5044702,5076990,3079011,1796742,1025224,267769067,5046808,5055271,3079585,3079584,3054699,3054701,1791845,1791844,1791859,3063021,3063020,3066828,1787707,1019310,1019309,1018250,573847,321302,177701,97871,97872,177707,321316,573875,1018303,1785772,3058646,3058645,3065527,4517132,2714792,1572995,1572994,2714790,4517130,5062145,5062144,5076660,3081173,3081172,5079996,5082745,4032782,2416789,1399091,796387,796388,1399094,2416794,4032789,6428001,7973931,7973930,7973928,7973929,11877124,11877123,7984447,5081638,5063193,5063192,7959852,11901814,254568626,7959227,267989472,12012016,254384194,5164446,3147066,1840925,1840926,1050648,590970,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951098,7951099,7170019,6001256,6001259,9169098,7952159,7952156,11876600,16964696,17012107,267989182,16967506,16970348,11893279,7952612,6909239,6909238,10479286,11900218,11929748,7983043,5080781,5080784,5164631,3147191,3147190,3147381,5164927,5165255,3147601,3069546,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7973572,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986510,7986512,11884328,8079902,7978347,5077564,5077563,7978341,7980780,11927135,11882083,11882085,16968386,11880368,7942206,5050979,3060203,1783955,1783953,3060198,5050973,7942187,11880340,15668053,10846580,10846577,11890121,255525111,21708306,15666475,10845307,7169538,7169539,10845311,12177753,8209360,8209361,7954454,7954455,11895551,11884770,11884769,16972288,16139382,13409247,9167747,9167749,13409233,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329611,590964,1050672,1841156,3147472,5165079,7948658,7987338,5083466,3083221,3083223,5050746,5050747,4531404,2723878,1785105,1017938,1017940,1785117,3062417,5055048,7948691,8348104,8348106,11253570,8350459,8350460,11883478,7944651,7944650,11883472,8060156,5152358,5152357,5070864,3074351,3074352,5070867,5392072,3315663,1950480,1114270,1114269,1950478,3315653,5392045,5392196,5390740,3314864,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,190502,190488,190487,347389,625207,1114063,1950098,260720191 Dl.O(d2) = 123670012,109478236,258535142,55362285,55361736,44515236,35138190,256224024,9949698,6539231,4097005,2451006,2451007,4097007,267947931,14461936,20159113,27052382,35138247,27058683,255748914,14467183,20165188,27058681,29419684,256224354,49021208,39091782,254978830,23081906,30495384,35157855,27071882,20176712,20176713,27071885,35157857,35138788,27053031,20159677,14462324,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,13740526,9414057,9414058,13740528,19232649,25892025,25891961,19232591,13740498,255286139,25891959,33698001,35140743,44517297,44516903,35140310,27054726,20161227,20161226,20172292,14473140,9958146,9958145,14473137,20172288,260072033,257020349,256477354,3084667,1800572,1791259,1021595,575623,575624,893553,893552,1571647,2713087,4511360,3078653,3078652,3084216,1800193,1027345,578844,323775,323776,578845,1027346,1800194,3074152,5070611,254818339,254252303,1014346,1014347,1779096,3040963,3040962,1790588,1021152,575407,322027,178026,178025,179418,98672,54551,54550,98664,179399,324826,580862,1028902,579755,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1573236,1573237,2715120,3084709,3078594,3078595,1801719,1801717,3078772,5076587,3078605,3078606,1796571,1025117,577640,577639,1025114,1796567,3078823,5042894,3053458,1779002,1014289,571737,571738,1014292,1779006,3053462,3077488,5064770,5076668,5044153,254562055,3055917,1792886,1022669,1022668,1792878,3073563,5061851,3087327,3056187,1781147,1015684,1015686,1781149,3056191,5045737,5045729,3056182,1781142,1781143,254254943,5092966,3122910,1825325,1825329,3122916,5066675,254178382,1021159,1021162,1790612,1786804,1786807,3065259,1795339,1024318,1024315,1795328,3076938,5074204,7953471,11211661,16139432,16139195,16139194,22283290,29635575,254821682,255146290,267900927,3072887,1792264,254129703,322394,576140,1017032,573256,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,178425,98296,54366,30757,17749,17748,30752,54351,98257,178539,322923,322925,322972,575492,322068,322072,575503,578413,571346,571345,571588,571585,1014042,1016649,573043,573045,1016655,1780277,1780275,3055142,5044702,5076990,3079011,1796742,1025224,267769067,5046808,5055271,3079585,3079584,3054699,3054701,1791845,1791844,1791859,3063021,3063020,3066828,1787707,1019310,1019309,1018250,573847,321302,177701,97871,97872,177707,321316,573875,1018303,1785772,3058646,3058645,3065527,4517132,2714792,1572995,1572994,2714790,4517130,5062145,5062144,5076660,3081173,3081172,5079996,5082745,4032782,2416789,1399091,796387,796388,1399094,2416794,4032789,6428001,7973931,7973930,7973928,7973929,11877124,11877123,7984447,5081638,5063193,5063192,7959852,11901814,254568626,7959227,267989472,12012016,254384194,5164446,3147066,1840925,1840926,1050648,590970,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951098,7951099,7170019,6001256,6001259,9169098,7952159,7952156,11876600,16964696,17012107,267989182,16967506,16970348,11893279,7952612,6909239,6909238,10479286,11900218,11929748,7983043,5080781,5080784,5164631,3147191,3147190,3147381,5164927,5165255,3147601,3069546,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7973572,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986510,7986512,11884328,8079902,7978347,5077564,5077563,7978341,7980780,11927135,11882083,11882085,16968386,11880368,7942206,5050979,3060203,1783955,1783953,3060198,5050973,7942187,11880340,15668053,10846580,10846577,11890121,255525111,21708306,15666475,10845307,7169538,7169539,10845311,12177753,8209360,8209361,7954454,7954455,11895551,11884770,11884769,16972288,16139382,13409247,9167747,9167749,13409233,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329611,590964,1050672,1841156,3147472,5165079,7948658,7987338,5083466,3083221,3083223,5050746,5050747,4531404,2723878,1785105,1017938,1017940,1785117,3062417,5055048,7948691,8348104,8348106,11253570,8350459,8350460,11883478,7944651,7944650,11883472,8060156,5152358,5152357,5070864,3074351,3074352,5070867,5392072,3315663,1950480,1114270,1114269,1950478,3315653,5392045,5392196,5390740,3314864,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,190502,190488,190487,347389,625207,1114063,1950098,260720191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347508, s2 = 10145199, dlinesl.size( ) = 2 s1 = 10347508, s2 = 10145199, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10347508, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 6521973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7829495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7829495, s2 = 320395, int(edited[s2]) = 0 s1 = 7829495, s2 = 320395, d1 = 45, d2 = 43 Dl.O(d1) = 1572054,893798,504273,504274,893802,1572065,1801288,1801287,3073742,3085654,3084992,2944819,1804260,1571799,893642,504198,504197,893638,1571794,2713321,1780553,1015304,572300,320548,177351,177350,320542,254129295,1780494,254254787,254380239,5064805,7169339,5094714,3092397,1806801,1789512,1020435,574981,574982,1020436,1789514,3069375,5065076,4515753,3085139,1800938,1027835,1027833,1800933,3067292,1788031,1788032,254252419,1780192,1797577,1797576,3080121 Dl.O(d2) = 11943777,7994358,7994357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7829495, s2 = 320395, dlinesl.size( ) = 22 s1 = 6424097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13221179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13221179, s2 = 10149578, int(edited[s2]) = 0 s1 = 13221179, s2 = 10149578, d1 = 5, d2 = 12 Dl.O(d1) = 4517411,5046749,3057084,1781856,1024788,1024789,1790838,3071116,3092199,3092198,5044797,5044800,5068704,7936304,267901045,3077292,3077291,5074664,7931090,7931091,7938694,7936471 Dl.O(d2) = 5056739,7932785,5077451,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,7936502,5046845,3057158,3057157,5046838,7936487,11872996,16961090,17033068,22960353,17521918,16721130,11679476,11679477,16721131,11917693,11917692,8584565,5578220,3460988,3460986,5578216,7939986,5049754,5049753,254382334,16965362,16972583,16972584,16977060,11890104,7949881,5056002,3063064,1785529,1785530,3063068,5056012,5176614,5176613,7945276,7945277,7978932,7978930,7786916,4936681,4936683,7786921,7971455,5091716,3089952,1804762,1804763,3089954,5091720,254380892,7953494,7953495,11870888,11870889,11909940,7966494,7956165,5060478,5060480,7956175,7932778,5077450,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,7936502,5046845,3057158,3057156,5046837,7936484,7996127,5090140,3088886,3088885,5090134,5080333,5080332,7947290,5054026,267839092,11887098,7971722,5072486,5072485,7971720,11870091,11870092,16957887,16989856,16989855,23252930,30659240,23243832,23243830,23587062,17275062,17275063,16976487,16976486,16965282,11877125,7979929,5078775,5078772,7979915,11926025,16978032,11891226,7950980,7950981,7945449,7945446,11884616,8045960,8045963,7937228,5047511,5047509,3061164,3061167,3955813,2368918,2368920,3955820,6311669,9609317,8353141,5391574,5391572,8352689,8352690,11872162,11876883,16965006,16981526,16981527,15669042,15669041,17033580,11948408,7998200,5091574,3089874,1804729,1804732,3082265,3082266,5081990,7957883,254389748,11884832,11884831,16139022,16139021,11886989,7947190,7947189,11886987,16974324,16974577,16974578,16977062,11916654,11916655,11930776,14220238,14220237,16995986,16995985,16631302,11601098,7722665,5110128,5110129,8021325,11975230,11889206,7949030,5055256,3062524,3062522,5055246,3067177,3067181,5062331,5390456,5390458,7986535,11883540,7944694,5052534,5052533,7944691,11883534,16971249,17011790,17011789,16966770,11878684,11878685,11884381,11213224,7440227,4701249,4701250,7440192,10834941,7162231,4510932,4510936,7162201,7162202,10834896,11882288,7945304,5052896,3061215,3061214,5052895,7945302,8071456,8071457,10778645,7121909,7121910,10778647,15581591,21609853,28885870,30418289,23013245,21607526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13221179, s2 = 10149578, dlinesl.size( ) = 2 s1 = 13221179, s2 = 10149578, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13221179, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 6755160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6755160, s2 = 14162119, int(edited[s2]) = 0 s1 = 6755160, s2 = 14162119, d1 = 0, d2 = 0 Dl.O(d1) = 258112162,14551834,12281729,8294467,8294466,12281723,12281760,17425106,12281739,12281741,17424045,12281033,12281032,17424044,20281101,14552062,10013105,10013106,14511642,9985511,9985512,14511644,14566523,10023391,10023392,14566525,20298492,27227384,30214526,22822405,16602270,11579042,11579043,16602271,22822406,22820295,18540466,18540468,25084677,30606156,30606157,37959185,31626384,24121023,24121022,255445786,21659979,15623872,15623873,21659983,23187334,23187336,22064103,15959572,15959570,22064100,29394461,22820858,16601068,16601070,22820860,22823032,16602722,11963637,8008527,5098221,3094441,3094440,5098211,7142883,4878098,2939274,2939277,254546453,10323379,6792575,6760900,6760901,4236903,2533189,2533195,2533244,4237019,6761146,9091851,13310750,18703895,25276392,33001380,41943299,45626401,35961671,27652043,27652042,35961670,45626399,56785658,69361678,82882490,78535108,78535109,87663309,87663310,259149362,83874116,83874117,83874120,270858380,97733016,258899702,70349144,70349143,83874126,97733020,96826820,96826821,110876831,96826822,96826823,110876833,97733025,83874135,70349148,57659059,46314757,36461807,28002817,28002819,36461811,42708789,37398191,28857333,21584313,15559871,10762514,10762513,15559864,21584300,28857318,37398172,47307494,58697629,258694597,259436238,270298296,87663365,87663366,87663372,74059442,258864035,74522300,61740502,61740503,270339682,86393079,86393080,100350079,101630594,87663113,74059155,61279613,257632387,49801462,61279677,74059242,87663185,95327454,95327456,109582708,123772994,123772988,260700823,259488413,87663180,74059237,61279670,61279669,74059231,87663176,95327460,95327461,109582710,115671768,121017427,106764510,106764511,109582682,115671663,117662640,109394342,95140219,81082593,67616514,67616515,81082594,95140220,99368394,99368395,103529975,260792705,129557997,117662652,117662653,129557932,115671638,115671637,129557929,260998210,113368936,109394360,259028608,67616525,55277858,44432798,35058366,35058367,44432800,55277861,67616531,259784947,101630790,95140264,95140263,269502436,105701595,91476976,77545499,77545500,77787513,64604609,64604608,67616547,55277871,44432806,44432807,55277873,67616549,67616587,67616589,67616575,67616576,81082674,81082651,67616552,67616551,71842259,71842237,71842238,85428072,81082682,67616584,55277896,55277897,258097271,59103454,59103453,71842301,74843665,62045328,62045329,74843667,62045334,50552609,40516316,31819623,31819622,40516311,257689221,74843656,71061978,71061977,74843657,88479285,88479275,88479276,85428099,71842272,71842273,85428101,98549464,256593682,71061980,84625566,98549461,99369406,97845039,83983154,83983153,92581392,106900637,111770559,105922688,99369425,85428109,75308484,62410489,50828574,50828575,44568081,35189954,35189955,44568086,55415408,63585093,51799188,41521270,41521269,48558781,38643558,30068319,22689391,16488912,16488911,22689385,30068309,38643539,48558748,59950897,72689358,61528802,61528803,52364763,50931171,40811902,32051900,32051901,32635223,38643575,38643570,38643569,256756952,31349140,31349139,40029446,50049457,41521322,32635270,24965457,24965458,32635272,32635242,24965445,18446687,13103857,13103858,18446691,24965447,32635248,41521290,47319114,47319115,52364767,52364766,49088056,49088057,60491294,71378761,71448180,59950907,59950908,51799254,41521333,32635281,32635282,41521336,51799259,48498976,48498977,52677595,42291177,33311079,25549529,25549528,33311072,42291171,50049479,40029461,31349147,23855193,23855194,31349150,40029463,50049489,41521315,32635266,24965453,24965452,32635259,24965462,24965463,32635237,41521266,51799180,42026661,42026662,51799209,41521293,37410705,37410704,37340281,37340280,39158389,39158390,47250034,49088067,269366965,73238122,63585143,63585142,65133338,53148359,42697738,42697739,50049386,40065211,40065209,50086722,61528791,65133316,60174471,48780013,48780012,60174469,50049476,50049464,40029451,40029450,48779931,48779929,51799138,41521227,41521226,51799133,60174556,60174557,51799171,41521261,41521263,51799173,62032297,50540628,50540626,62032292,257120278,48779893,256578064,42125911,52480689,64350762,58642754,47249903,37340149,37340150,38859661,38859662,48779908,47249926,47249927,48779952,48779951,60174413,72911298,72911296,269073622,52480829,52480726,42697732,33666904,25860592,25860590,33666898,42697724,47259498,48779938,53148327,42697713,34154313,34154314,30275112,30275111,38859770,38859694,36508198,36508199,46366438,57715850,70410004,60174447,60174446,55700672,44793042,38859618,30275044,30275045,38859623,48779849,256996368,48862217,48862220,53759705,53759704,65818127,64350811,52480747,52480749,52480844,256067824,33169845,25427455,18833996,18833997,25427457,33169778,42125868,42125885,33169787,33169786,38938481,38938480,38942592,30356385,22954679,22954678,30356379,38942581,48862212,60255009,60255010,50299774,40279481,31595219,24091765,24091766,31595222,40279485,50299782,60568057,72990339,257576710,61779117,50299820,40279519,40279518,50299819,40279527,31595247,31595248,40279529,49169143,39244065,39244063,491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Dl.O(d2) = 258112162,14551834,12281729,8294467,8294466,12281723,12281760,17425106,12281739,12281741,17424045,12281033,12281032,17424044,20281101,14552062,10013105,10013106,14511642,9985511,9985512,14511644,14566523,10023391,10023392,14566525,20298492,27227384,30214526,22822405,16602270,11579042,11579043,16602271,22822406,22820295,18540466,18540468,25084677,30606156,30606157,37959185,31626384,24121023,24121022,255445786,21659979,15623872,15623873,21659983,23187334,23187336,22064103,15959572,15959570,22064100,29394461,22820858,16601068,16601070,22820860,22823032,16602722,11963637,8008527,5098221,3094441,3094440,5098211,7142883,4878098,2939274,2939277,254546453,10323379,6792575,6760900,6760901,4236903,2533189,2533195,2533244,4237019,6761146,9091851,13310750,18703895,25276392,33001380,41943299,45626401,35961671,27652043,27652042,35961670,45626399,56785658,69361678,82882490,78535108,78535109,87663309,87663310,259149362,83874116,83874117,83874120,270858380,97733016,258899702,70349144,70349143,83874126,97733020,96826820,96826821,110876831,96826822,96826823,110876833,97733025,83874135,70349148,57659059,46314757,36461807,28002817,28002819,36461811,42708789,37398191,28857333,21584313,15559871,10762514,10762513,15559864,21584300,28857318,37398172,47307494,58697629,258694597,259436238,270298296,87663365,87663366,87663372,74059442,258864035,74522300,61740502,61740503,270339682,86393079,86393080,100350079,101630594,87663113,74059155,61279613,257632387,49801462,61279677,74059242,87663185,95327454,95327456,109582708,123772994,123772988,260700823,259488413,87663180,74059237,61279670,61279669,74059231,87663176,95327460,95327461,109582710,115671768,121017427,106764510,106764511,109582682,115671663,117662640,109394342,95140219,81082593,67616514,67616515,81082594,95140220,99368394,99368395,103529975,260792705,129557997,117662652,117662653,129557932,115671638,115671637,129557929,260998210,113368936,109394360,259028608,67616525,55277858,44432798,35058366,35058367,44432800,55277861,67616531,259784947,101630790,95140264,95140263,269502436,105701595,91476976,77545499,77545500,77787513,64604609,64604608,67616547,55277871,44432806,44432807,55277873,67616549,67616587,67616589,67616575,67616576,81082674,81082651,67616552,67616551,71842259,71842237,71842238,85428072,81082682,67616584,55277896,55277897,258097271,59103454,59103453,71842301,74843665,62045328,62045329,74843667,62045334,50552609,40516316,31819623,31819622,40516311,257689221,74843656,71061978,71061977,74843657,88479285,88479275,88479276,85428099,71842272,71842273,85428101,98549464,256593682,71061980,84625566,98549461,99369406,97845039,83983154,83983153,92581392,106900637,111770559,105922688,99369425,85428109,75308484,62410489,50828574,50828575,44568081,35189954,35189955,44568086,55415408,63585093,51799188,41521270,41521269,48558781,38643558,30068319,22689391,16488912,16488911,22689385,30068309,38643539,48558748,59950897,72689358,61528802,61528803,52364763,50931171,40811902,32051900,32051901,32635223,38643575,38643570,38643569,256756952,31349140,31349139,40029446,50049457,41521322,32635270,24965457,24965458,32635272,32635242,24965445,18446687,13103857,13103858,18446691,24965447,32635248,41521290,47319114,47319115,52364767,52364766,49088056,49088057,60491294,71378761,71448180,59950907,59950908,51799254,41521333,32635281,32635282,41521336,51799259,48498976,48498977,52677595,42291177,33311079,25549529,25549528,33311072,42291171,50049479,40029461,31349147,23855193,23855194,31349150,40029463,50049489,41521315,32635266,24965453,24965452,32635259,24965462,24965463,32635237,41521266,51799180,42026661,42026662,51799209,41521293,37410705,37410704,37340281,37340280,39158389,39158390,47250034,49088067,269366965,73238122,63585143,63585142,65133338,53148359,42697738,42697739,50049386,40065211,40065209,50086722,61528791,65133316,60174471,48780013,48780012,60174469,50049476,50049464,40029451,40029450,48779931,48779929,51799138,41521227,41521226,51799133,60174556,60174557,51799171,41521261,41521263,51799173,62032297,50540628,50540626,62032292,257120278,48779893,256578064,42125911,52480689,64350762,58642754,47249903,37340149,37340150,38859661,38859662,48779908,47249926,47249927,48779952,48779951,60174413,72911298,72911296,269073622,52480829,52480726,42697732,33666904,25860592,25860590,33666898,42697724,47259498,48779938,53148327,42697713,34154313,34154314,30275112,30275111,38859770,38859694,36508198,36508199,46366438,57715850,70410004,60174447,60174446,55700672,44793042,38859618,30275044,30275045,38859623,48779849,256996368,48862217,48862220,53759705,53759704,65818127,64350811,52480747,52480749,52480844,256067824,33169845,25427455,18833996,18833997,25427457,33169778,42125868,42125885,33169787,33169786,38938481,38938480,38942592,30356385,22954679,22954678,30356379,38942581,48862212,60255009,60255010,50299774,40279481,31595219,24091765,24091766,31595222,40279485,50299782,60568057,72990339,257576710,61779117,50299820,40279519,40279518,50299819,40279527,31595247,31595248,40279529,49169143,39244065,39244063,49169142,50033757,40014997,40015001,31595234,31595233,39290690,49217341,60618098,57984080,46607188,46607190,40279535,40279537,48787626,60184100,71189390,270810015,86921112,79138958,65784596,61779047,60184119,48787651,38865755,30280294,22882740,16653969,11621355,11621354,16653964,22882732,26262407,26262408,34128774,39901178,39901179,49920807,53901859,65968144,53903042,43379447,39290741,30693381,23278406,23278405,30693377,39290730,49217402,50080370,40059040,31376713,23880375,23880374,31376707,40059035,48787619,48787618,39491626,30885407,28671314,28671313,37193334,47089222,43379441,34280905,34280904,36612335,36612334,39290798,39290785,39290786,48787642,38865749,38865710,30280266,22882722,22882721,30280260,38865701,38865729,47510908,37606334,37606335,47510910,37606349,37606350,47510932,51054789,49217432,39290751,30693392,23278411,23278410,30693387,39290746,35387755,35387757,43379454,34280916,26406175,26406176,34280919,43378028,34279133,34279135,43378033,40912769,32134903,32134902,40912765,49920821,40912672,32134809,32134808,40912670,51054735,41851993,32922834,32922833,41851988,47089422,58467512,58890486,58467427,47089298,37193405,28671372,21424184,21424182,21424172,21424129,21424128,21424202,15432521,15432523,21424206,28671409,32922846,41852014,47025256,47025254,48144717,58085563,46713786,46713787,58085570,58467509,47695438,47695437,58467631,47089642,47089286,37193393,37193392,47089282,42318917,42318918,52176003,41851923,41851922,41828250,41828249,41852037,37193354,37193355,33981176,26141586,26141585,33981172,43038542,53516794,53516804,43038554,33981192,33981193,43038558,47089394,37193498,37193499,47089370,37193477,28671436,21424229,21424228,256325299,47089365,47017955,47017956,47089254,47089250,37193350,32311748,26141561,26141560,33981135,43038509,53516778,52176067,43038589,43038588,43038622,38953377,30747294,30747295,25208234,25208235,32922782,41851931,268413974,29914871,29914869,38473233,43038495,33981124,256692787,257141446,37193902,256067872,38953384,30367121,22965531,22965523,22965524,22965528,30367115,38473236,37221191,28695764,21444334,21444331,28695762,37221179,28695749,28446462,28446463,26141674,19444698,13914348,9549853,9549851,13914313,13914314,19444638,26141592,33981182,37193553,28671509,28671510,28671905,21424587,15432762,15432595,15432596,15448231,15448230,21444306,21897987,21897989,29212117,37415557,37415555,47089387,47089386,47089537,37193900,33981158,26141575,26141574,28671724,28671725,28695721,21444290,15448214,10680765,7055378,4441495,4441496,7055380,10680769,15448220,21424460,28671731,28695707,21444278,21444277,28695705,37221118,47118672,58497029,71189543,71189542,269440948,47118751,47118750,37221219,37221220,30367085,30367083,28671787,28671788,37193824,47089589,37193789,28671760,21424477,17416910,12275717,8290188,8290187,10963069,10963068,15819358,21424357,28671584,37193630,37193924,35310676,27190890,20266647,20266646,27190885,27190879,27190882,34650585,26659235,26659234,34650583,43923826,43923784,34650530,34650531,39901144,31224426,31224428,256581889,31224555,31224556,30885390,30885391,39491618,39491613,30885388,30885366,23453482,17176197,12076816,12076818,17176202,23453496,17416830,17416829,17416467,17416468,17416600,23740941,31224172,39900902,49920610,49920830,61400625,269650255,44730152,35310699,27190906,20266668,20266666,27190904,35310696,43379800,43379798,43379805,34281270,26406533,19672113,17176112,17176111,14101600,14101599,19671576,23453372,23453371,27143654,20235132,14520273,14101298,14101299,12076884,12076886,12076776,8120957,8120955,12076768,17176119,17176120,23453389,23453579,17416810,12275667,8290166,5348109,3286768,1932805,1104006,1104004,1932800,3286751,5348073,8290096,12275532,14101083,14101085,14101906,14101907,17176056,19671119,14101245,14101246,14101983,9699372,6379231,6379232,9699377,14101992,17176106,14102028,14102027,19672159,23453343,30885231,26406356,19671951,17416573,14101263,9698885,6378971,4002182,4002183,6378975,9698892,14101278,19671163,23453367,26405463,19671110,14101239,14101240,9698906,6378981,6378979,9698900,9698974,9698975,14101391,19671335,255654510,26405902,19671831,14101793,14101446,14101447,17176376,17176375,14100902,255307925,14100406,254958931,6378857,4002119,2398302,1387811,1387812,1387869,254212037,4002335,6379272,9698825,14101116,14101004,254678211,6378904,9698766,9698868,14101223,19671046,14101193,9698856,9698855,14101185,19670243,19670244,14101034,9698776,9698777,9699061,14101500,15234428,17773599,19670008,19670009,26404245,26404250,23448530,23448528,30879293,26404556,26404554,28421693,21198990,21198993,19670874,14101046,9698781,9698782,6378941,6378942,9698840,14101157,19670999,26404198,19672577,14102350,9699619,6379376,4002389,2398446,2398444,4002380,254678295,14102296,19672497,26406981,34281783,38635420,30061469,30061470,38635422,48549808,59942045,72681133,61403736,49924149,39904518,31227688,23744165,23744166,23744178,23744179,29168908,36857831,46739510,53903606,43380001,43380000,53903604,65969935,71183455,71183456,70824955,58109659,46739514,256865312,70824956,84382888,86484149,258410860,259306338,74183535,61403670,49924034,39904390,39904389,40333725,31644686,31644687,31227674,23743996,23743995,31227673,39904502,31594536,31594537,26406709,26406710,34281465,31227585,31227586,34281444,34281445,28359803,21144619,21144618,28359796,36857753,46739434,39926077,31250516,23766017,23766016,31250509,37136860,37136843,37136841,47025177,46739482,41960740,37136955,28624140,28624141,37136957,46739475,39904907,37065547,37065546,46944671,58311197,47002555,47002554,58365951,49924065,39904419,32989378,25265799,25265798,23953298,17607151,17607152,23953302,31445048,40124479,42984074,42984073,36836905,36836904,40124871,40124870,46739440,58109603,62040461,70824945,58397397,47025338,46739497,36857819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6755160, s2 = 14162119, dlinesl.size( ) = 2 s1 = 6755160, s2 = 14162119, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6755160, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 150961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 150961, s2 = 11016765, int(edited[s2]) = 0 s1 = 150961, s2 = 11016765, d1 = 254, d2 = 314 Dl.O(d1) = 3528204,3528205,5672289,8014886,254498140,3097813 Dl.O(d2) = 255396071,28541523,257432561,60457929,257007672,39123978,49054080,47287081,256399924,21565658,268085890,15145436,15145435,17855094,12673862,8606961,8606960,254850973,5387500,3312881,3312882,5387502,8347157,5975518,5975517,8347084,12354731,8347119,254442343,2237396,1297539,1297541,2237400,3736973,5975523,8347306,5387651,3312968,3312969,5387656,8347279,12354898,255176115,17520814,12355342,267910247,5387745,8347564,12355255,255565799,256522822,31358145,23864279,17520131,12354796,12354798,13360865,13360866,18763047,23864338,17520194,12354837,8347165,8347164,9131149,11292495,11292496,15093921,10410182,10410183,15093926,16242813,16242817,17520771,17520763,12355305,12355306,17520768,23864937,23864901,256017717 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7818823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7818823, s2 = 6521411, int(edited[s2]) = 0 s1 = 7818823, s2 = 6521411, d1 = 56, d2 = 17 Dl.O(d1) = 8051387,11998592,11998963,8051843,8051783,5142442,5142441,5142461,5142487,5142483,3130784,1830230,1830231,3130791,5145792,8054957,5161787,3144856,2710524,1570283,1570280,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832325,1832324,3134073,5149654,8029748,5119957,3110316,3110314,3110304,1817520,1037765,584530,584529,1037762,1817511,3108291,3108292,5101376,3096527,3096528,3096552,3096554,5101403,5141315,5141313,5104048,5104045,5113679,5113678,8024475,5127530,5127531,5139259,3125604,1827084,254130855,254177785,3125600 Dl.O(d2) = 255524932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7818823, s2 = 6521411, dlinesl.size( ) = 26 s1 = 214305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13248133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13248133, s2 = 11422600, int(edited[s2]) = 0 s1 = 13248133, s2 = 11422600, d1 = 36, d2 = 34 Dl.O(d1) = 5132962,3120688,1823947,1041142,1041141,1823955,3111531,1818252,1818251,3111527,3131310,1830531,1044731,588061,588064,1044735,1830540,3131327,3112967,3112963,3134812,3148456,3148457,4678824,4678823,2868884,2868885,4678837,7405851,4678844,2818826,2818824,4678846,5153336,5148019,3159325,3152139,3127012,3101605,3101604,2867539,1664289,946866,946867,1664291,2867544,4757653,5148247,3132854,3132853,3120259,3118150,3118149,4763118,5177270,8081440,8058307,5150003,5150004,8034042,8034041,8057741,7644380,5102420,5102421,5233483,5228983,3190769,1867394,1065225,598715,333580,333581,598718,1065236,1867406,1065594,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037543,1037546,1817107,3109627,3150052,1842933,1051678,1051677,1838502,1049196,1049198,1821838,3117356,3105457,1814582,1036163,1036164,1053371,1814604,1814603,3105513,3158184,3158183,5140017,3126281,3126282,5140020,5138171,3124659,3124657,3143517,3143516,254257831 Dl.O(d2) = 87090605,101087281,101087282,115164115,261799171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13248133, s2 = 11422600, dlinesl.size( ) = 2 s1 = 13248133, s2 = 11422600, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13248133, Dl.E( ) = 42, 1.91e-05 seconds used appending s1 = 215971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 696661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 217151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7955027, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 476498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 476498, s2 = 11080520, int(edited[s2]) = 0 s1 = 476498, s2 = 11080520, d1 = 30, d2 = 27 Dl.O(d1) = 12113691,8144967,5217696 Dl.O(d2) = 113827136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 476498, s2 = 11080520, dlinesl.size( ) = 28 s1 = 9346426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 89819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 88006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 88006, s2 = 4579337, int(edited[s2]) = 0 s1 = 88006, s2 = 4579337, d1 = 95, d2 = 72 Dl.O(d1) = 1911347,1911348,1926246,3274833,5327795,5268060 Dl.O(d2) = 176763634,186170356,183970498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 88006, s2 = 4579337, dlinesl.size( ) = 14 s1 = 10135894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135894, s2 = 10903289, int(edited[s2]) = 0 s1 = 10135894, s2 = 10903289, d1 = 81, d2 = 99 Dl.O(d1) = 85706275,267986444,38089730,29526035,29526034,34642654,26651531,19838013,19838014,26651534,20152033,14456202,12599739,8550498,8550499,11964324,17054997,19701041,19701042,17775197,12579742,12579745,17775203,21798551,15738870,10900271,10900269,10900160,10900159,15738698,20818174,16171502,16171501,22316632,16467926,12253050,12253052,8275357,5339550,3282054,3282052,5339348,5339443,3282020,3275346,3275348,5328550,4868650,4868654,7693463,5329013,4974963,254069968,991902,1745256,1687226,959510,959509,991860,1706341,993216,993215,993179,559159,313038,173129,173128,172474,254070540,991785,1687204,1687137,1668777,1668760,254069786,300275,300276,535500,558491,949673,949528,949527,535572,254070910,991812,557925,267734846,557923,254069532,992801,558814,558816,312864,177050,177047,319969,571155,1013250,1777221,1745314,992037,992035,959272,540605,540606,558851,312786,312785,302944,167700,92287,92286,167694,302932,540625,959294,943988,883090,498312,498313,312911,173051,95200,52526,29559,16942,254070879,52502,95157,172964,312231,312230,312827,173009,173007,312823,558890,534653,534652,534661,540554,540555,535099,300007,166172,91512,50474,50476,91519,166190,166153,91505,91506,166159,299990,535077,949053,1668290,2874234,4767854,7534359,4766080,2873083,1667472,948497,535314,535313,949312,1668517,2874405,4767225,7534108,4825280,4825281,4733022,254168872,1654748,254174552,5032646,3046792,1774685,1774686,3046794,5032649 Dl.O(d2) = 7358805,7358804,11095859,15983136,22089815,29420336,29937465,22574847,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,4795098,4795095,7581167,10612578,15360775,254755280,17282530,22506970,16333170,11363812,7549830,7549829,11363810,12173917,12173919,11367968,11367969,16338495,16338518,16338517,11368149,11368152,11360251,11360208,11360209,11360227,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248912,5959701,3727018,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,9972322,14493445,20199021,23589656,254088730,8199089,8199088,267797462,254133598,17341915,16312833,11349647,11349646,16312831,254182992,7537984,4768605,4768604,7537983,11342952,16302027,22471242,29838929,38411703,29838982,22471301,16302055,11342969,11342970,16302057,21081579,15142914,15142915,21081580,22516048,22516047,29856146,22491457,16768826,16768828,23008194,22498276,22482555,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,23586092,29350110,37918525,38413941,37918522,29414398,22084187,22084188,29356167,254760570,39747822,39747823,37921376,29353973,22022850,22022849,29353970,23544354,23544353,17264185,17264186,23575603,31059189,31146859,38596299,30023873,22651082,22651081,30023871,37916439,29347637,22015773,22015774,22015905,21081174,15142643,10443728,6884842,6884840,10443721,9903347,9903350,14397807,20080965,22009972,15908397,11029681,7304155,7304156,11029669,14485353,11717647,11046038,7320717,4622151,2783325,1614474,918296,918293,1614462,2783287,4622081,7320583,11045692,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,16312641,11349520,7541400,4770211,2875614,1669245,949890,949889,254240057,1669248,254104518,254075228,11035633,11035816,11035815,12165860,8197190,8197189,12165858,17286848,16338049,11367565,11367567,16330634,16330633,22504623,29865603,27086915,20188854,20188853,17276429,17276427,17276469,12156242,12156239,15544610,15151774,10449583,6888613,6888611,10449577,11035770,11035769,15914372,22015969,22015875,15914287,11035697,7310282,4613940,2778304,1611784,1611785,2778308,4613945,7310294,11035691,7310248,4613924,4613919,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,2774521,1609396,915690,254164099,1670139,254357861,7549232,11362827,11797356,7878556,5003594,5003595,3024479,3023812,3023811,5002898,3024524,1758896,1758897,1758906,1758673,1001283,1001285,1517411,2628340,1758847,1001449,1001448,1758885,1759417,1759416,3024942,3024374,3024373,5003520,5004880,3025572,1759802,1002146,1002145,1758667,1758666,3024240,3024560,3024463,3024462,5003588,7875306,5002489,5002477,3023336,3023329,3023328,5002467,5002524,5002525,7878686,7879405,5003188,3024568,1758940,1001490,564204,315965,174728,174726,315955,564187,565235,565234,1003126,1761079,1003137,565245,565246,564036,254087653,96044,52977,29812,29809,52970,53036,29838,29839,53043,96195,174978,316384,174949,174950,316388,564923,1002229,1002470,1002466,1760167,254373195,3022728,3024828,3024827,5003072,5003073,5004905,5004904,7874206,7883251,7874143,4998990,3020529,1755469,1755468,1002002,564513,564512,1001996,1759582,254372983,3021415,1756231,1756230,1003102,1003100,1003504,565745,565746,565513,316742,175137,96277,96278,175148,316673,175104,175106,316682,562708,315161,315160,562758,999134,1755737,1756080,1756079,3021244,1759654,1002047,564546,316151,174826,174827,316158,564559,1002069,1002102,1002101,1759744,3021688,4999201,3025406,1759641,1759640,1755320,998818,562564,562563,998816,1755311,3020359,4998835,7874023,11791683,11791661,11791663,11794504,7876234,7876235,11794506,255517687,23122928,30541708,30541766,30539914,23120981,16861066,11793257,7884801,5007497,3027676,3027675,5007493,7884795,11805136,16874881,16874808,11805086,7884768,5007477,5007475,7884761,11805073,16874526,11804858,11804860,16874506,11805986,11805720,7885290,7885289,11805714,16871914,16045084,16045082,11793490,11793492,11805305,11805304,11792930,11792931,11795370,7877039,5001300,3022462,3022463,5001305,7877049,7885027,11805472,16870292,11801207,7881877,7881876,5007461,5007462,7875337,7884779,5007486,5007484,7884774,11797025,7878276,7878279,11797033,11805797,11805798,11804931,7884682,7884685,11804941,14567331,14567330,20299593,23123628,16875458,11805701,11805702,16863503,16871920,16045061,11140908,11140910,15536182,15536183,16870213,11805788,11805789,16870048,16863388,11795351,11795350,7877062,7877063,11795436,16863519,16870229,11801159,7881849,5005371,3026052,3026051,5005367,7881839,10744558,15535917,21556419,23125584,16865541,16865540,21609090,21556641,17489175,14569988,11801125,11801126,7884550,7884551,11804703,16874333,23134956,16874374,16874376,22327359,21560819,15539827,10747283,7100500,7100498,7882419,7882416,7098947,4469723,4469720,7098933,10744693,15536152,21556630,27228489,20299453,14567192,10023839,6588012,6588013,10023842,14567199,10777386,10777387,15536097,10744665,7098922,4469714,4469715,254738913,15536102,10744868,7099016,4469753,4469754,267965491,15536404,254318926,17103992,23372610,30799103,30799102,24361199,254985918,12731789,17966147,19279922,19279921,13782707,9449722,9449721,256679831,256537052,24835167,18341181,18341180,17679510,17679509,254863570,18812693,13402220 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10141060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8012494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9354576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9354576, s2 = 7935584, int(edited[s2]) = 0 s1 = 9354576, s2 = 7935584, d1 = 30, d2 = 29 Dl.O(d1) = 258169124,55457236,256435520,14515055,10019935,6585716,4126148,4126150,6585722,7999189,5092162,5092164,7999204,11949933,13659549,13659547,19130523,21625181,15597798,10790214,10790211,10790099,7128845,7128844,10440034,6882415,6882417,10440040,10790355,10790251,7128914,7128913,10790248,15597867,16525270,11950250,11950251,17036084,18721848,14976473,14976472,18721853,20094226,19899360,18747511,18747513,14939189,14939191,16776871,11729861,11729862,14926223,14597899,10044644,6600877,6600872,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228832,2528479,2528478,4228829,6748865,9067277,11512429,7658294,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,5948432,9092577,9092576,9092626,13311745,13311817,18705060,18705059,22757269,22728898,16523464,11515625,11515626,16523468,17764133,13233104,9023792,9023793,267857604,9144066,5983809,5983808,9144059,13378405,13382199,13382198,16269237,255174698,9080027,13298314,17489419,16212301,16212303,22366200,28897874,21622484,18715724,18715723,19693298,23647148,21507719,20840488,14941061,14941062,15050664,13470977,9212658,9212659,13470984,10378057,6838409,6838405,10378045,15051537,15051534,20960879,23559880,31042551,36985374,41945054,255248494,18705967,13312608,10390210,255010237,20978025,28157329,256955350 Dl.O(d2) = 257048477,23601986,22723765,16518577,16518579,22723767,254546988,255116592,25268281,18696456,13303397,11182374,7419543,7419541,11182371,16099372,15056867,254713082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9354576, s2 = 7935584, dlinesl.size( ) = 8 s1 = 10167804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 218608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 219513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 331242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 331242, s2 = 6483027, int(edited[s2]) = 0 s1 = 331242, s2 = 6483027, d1 = 9, d2 = 33 Dl.O(d1) = 8315031,5365281,3298320,3298319 Dl.O(d2) = 4522552,7179292,10857141,7178049,7178051,10857147,15682866,21729909,15697809,15697808,21750958,29043857,24228861,24228862,31737639,38466520,38466519,47473158,37566866,29020289,21739951,21739950,29031032,268621709,29030526,37568580,29022102,29022103,37568582,37572496,29025697,21735705,15686775,10859558,7179572,7179574,10859564,15686798,21735744,25451610,29025724,24229846,21730151,21730152,29018701,37565279,37564820,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7183755,4525726,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,10863406,10863405,15692404,21743208,29034881,37582254,256892899,37564396,29017727,29017728,37564399,47471294,40363887,256351071,29020619,37567177,37562503,268390605,15681412,255857111,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,24228972,24228975,29005803,31743633,29012699,29012698,37558936,31746707,31746708,40435951,37586183,29038662,21746421,15694726,15692672,15692676,21743548,21724721,15679284,15679283,15678733,15678732,21719462,21719463,29005325,29005908,22908083,22908084,29005938,29022630,29022632,21743597,15692708,10863630,10863631,15684208,15684211,21731904,15691417,15691416,21731892,21731893,29009433,29009434,37555601,29018530,29018532,29021459,29021460,24230825,17857758,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688757,1688753,2911049,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723860,21750767,29011620,21724524,21724525,17338900,17338899,23655784,29021749,29010451,29005398,21723721,21723723,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,29013889,29013887,37560308,47467157,58851477,47474214,47474215,37568953,37568108,29021652,21732578,21732577,29021650,31736757,29037075,21745098,21745099,29037079,37584577,255591052,29009367,21722789,21722788,21725782,15679991,15679989,15476347,10702323,10702326,10855805,15678964,21724132,15678954,15678955,15675907,10852280,7174472,7174471,10852275,15675900,21720067,29006007,29012477,21725232,21725231,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179283,7178036,4521787,4521789,7178039,10857106,15682793,15683216,21729354,15682514,10856930,7177929,7177928,255051525,4522666,2718390,1575141,254121425,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520155,7175627,4520132,4520131,2718854,2717645,2717644,4521358,2718940,1575430,1575427,895736,505278,283250,283248,505271,895729,1575461,2718994,4523568,4527875,5099702,8010646,11966449,255530427,15677063,10860883,7182804,7182802,7183147,10855768,254746211,7180976,7178227,7178228,10857431,10860539,10860540,10858528,7178842,4522243,2718113,2718114,1574994,1574997,2718132,4521247,2717582,1574710,895334,895331,1067832,1067833,896692,505874,283662,283664,505884,896708,1577210,2721826,4527926,4527804,2721736,1577149,1577150,2719823,4524790,5100028,5100029,6882173,4320159,2760928,2760926,4589031,254756629,255438869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 331242, s2 = 6483027, dlinesl.size( ) = 2 s1 = 331242, s2 = 6483027, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 331242, Dl.E( ) = 34, 1.79e-05 seconds used appending s1 = 6884978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6884978, s2 = 331893, int(edited[s2]) = 0 s1 = 6884978, s2 = 331893, d1 = 72, d2 = 4 Dl.O(d1) = 259648114,72138139,256635028,29549320,22205719,16075672,11163023,7404439,7404440,11163021,15720772,15720771,21779732,256014495,17488422,12330708,254593125 Dl.O(d2) = 8329864,12330709,17488423 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7813176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7813176, s2 = 2629398, int(edited[s2]) = 0 s1 = 7813176, s2 = 2629398, d1 = 18, d2 = 14 Dl.O(d1) = 255795012,11949747,7999083,5092118,3090185,3090186,5092121,7999089,11949756,17034917,23294633,30711202,37444804,31771438,24259241,21616337,21616338,20350303,14606956,14606957,20292127,27220661,20353522,14609775,10052880,10052879,14609771,19294709,19294708,23295439,27275928,20340971,14598825,14598824,17853005,12643199,12330738,8329886,5376131,3305832,1944837,1111085,254185455 Dl.O(d2) = 74264754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7813176, s2 = 2629398, dlinesl.size( ) = 20 s1 = 10341742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341742, s2 = 13331996, int(edited[s2]) = 0 s1 = 10341742, s2 = 13331996, d1 = 37, d2 = 29 Dl.O(d1) = 38177870,38177871,48089637,59479138,52800543,42400931,37984289,37984290,33411905,268761342,64714386,77903266,85621309,99571966,109454685,123646917,269781580,58377162,47006854,37120716,28610426,21375357,17198263,17198262,15394085,15394084,21375358,28610428,37120720,28997498,28997497,37542901,47450852,37542920,28997508,21712674,21712673,28975042,21692548,21692549,21692553,15652365,10833858,7161543,254339299,2710379,4510521,3078157,3078156,3086918,254508026,5065821,5065822,3072789,3056711,1781565,1781566,1028284,579420,324084,324085,579423,579394,254130049,579242,1028025,1789152,3053789,1779259,1779240,1779241,1029152,579888,579887,1029150,1802797,3057094,1796998,1025396,1025395,1796993,1786657,1786656,2469145,4127705,5077295,3079329,1797010,1025419,577801,577802,1025421,1781918,1016183,1016181,1017397,1017396,1783943,3060172,5050923,5046786,3070760,1790608,1790612,1786804,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151 Dl.O(d2) = 590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,5392100,3315675,3315676,5392102,3315762,254403227,8351723,254851455,17526846,23871321,31365921,25809840,256154139,33608083,42633431,42633426,42633425,42633381,33608028,25809865,19161986,13683247,9370611,6138030,3840235,2300752,2300751,3840233,6138027,9370608,13683241,19161979,25809950,33608041,33607982,33607983,42633323,33608119,25809943,25809944,33608113,33608112,42633319,42633320,42633461,33608140,33608141,42633495,53081492,42633363,42633364,53081430,53081431,53081631,42633501,33608143,25809969,25809970,33608145,42633504,53081425,42633301,33607968,25809822,19161890,13683182,13683183,19161894,25809827,33607975,42633310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341742, s2 = 13331996, dlinesl.size( ) = 2 s1 = 10341742, s2 = 13331996, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 10341742, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 6516627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 144186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 488857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 488857, s2 = 6479595, int(edited[s2]) = 0 s1 = 488857, s2 = 6479595, d1 = 3, d2 = 16 Dl.O(d1) = 12428130,8399849,5420474 Dl.O(d2) = 255009323,20967200,268396728,14422958,14422959,254916423,5971476,4091608,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 488857, s2 = 6479595, dlinesl.size( ) = 20 s1 = 14162428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7870177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7870177, s2 = 14162123, int(edited[s2]) = 0 s1 = 7870177, s2 = 14162123, d1 = 24, d2 = 16 Dl.O(d1) = 5459245,3356459,3356460,5459246,8451192,12480222,17618931,17618929,17651670,17651671,23995460,255575823,12470575,12470574,12473803,17646784,268443827,17649930,17649932,15577454,15577453,21605979,17644827,12470883,12470884,255184236,17651606,13373138,13373137,18777739,17651018,12480228,12480227,17651016,23397323,17125278,12034795,8090590,5183385,3162409,3162408,5183380,5183417,5183419,7894359,5438278,5438275,8411558,5428170,5046647,3057004,1781777,1781780,3057012,5046664,5438786,5438790,3350604,3350608,5450447,8441055,8429456,8429457,12460660,8443477,8443420,8443419,12456948,8427568,8424542,8424543,12456239,12452165,12452167 Dl.O(d2) = 11453997,11453998,16439560,22625019,29993320,268410311,16439583,16439582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7870177, s2 = 14162123, dlinesl.size( ) = 2 s1 = 7870177, s2 = 14162123, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7870177, Dl.E( ) = 26, 1.38e-05 seconds used appending s1 = 145837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13340725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 492496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 492496, s2 = 14024948, int(edited[s2]) = 0 s1 = 492496, s2 = 14024948, d1 = 16, d2 = 42 Dl.O(d1) = 12525701,8487521,5488533,3379252,3379251 Dl.O(d2) = 8459524,11728273,7829944,4970135,4970134,7829942,11728265,16774783,23014565,30419515,39008707,39008710,48932318,48932113,46757560,36878896,36878895,39008611,48932129,39008492,39008491,48932106,256455475,23014433,23014434,30419183,30419184,30419142,30419141,39008452,30419139,23014139,23014138,16774600,16774601,16774621,23014161,16774370,11727890,11727889,16774365,23014158,255127375,7829665,4969928,4969927,7829662,11727896,7829773,4969994,4969993,7829771,11728077,16774586,23014331,21291374,15325557,10585033,6982644,6982643,4969995,4969996,7829668,7829669,7829788,4970004,4969943,3001845,1743306,1743307,267834959,7829697,11727950,11727995,7829718,4969957,4969956,7829716,11727992,11728019,15325588,21291404,28511826,23014270,16774484,16774482,16776583,11729639,7830882,7830881,11729633,16776580,255955399,23014327,268097205,11728042,15325593,10585061,6982659,4387325,2628200,2628199,4387321,6982649,10585042,15325568,11727987,255127379,11728508,7830161,4970295,254555015,11728306,7829970,7829971,255127409,7829957,7829958,7830078,7830124,4970296,4970297,7830073,7830074,7830049,4970217,4970218,7830052,11728403,7830152,4970288,3002073,1743459,1743460,3002076,4970127,3001960,1743373,1743372,3001957,4970123,7829924,11728248,11728144,7829826,267834961,3001894,4970031,5687029,3537816,3537817,5687031,7829816,4970026,3001891,254371097,4970705,7830863,11729609,16776560,16776599,23014604,23014878,16775077,16775079,16774935,11728450,7830097,4970352,267898381,11728281,11728279,11728440,16774917,20900714,14996203,10326780,6795434,4260834,2547288,1467451,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855018,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291425,2226585,3718328,5152932,5152851,3136854,1834109,1046682,1046684,1834117,2226145,2226147,3717639,2552166,2552168,3714094,2224067,2224066,3714092,3714053,3714054,5939747,6850214,5939690,3714025,3714023,4240596,5921854,4929847,4929846,6842371,4293350,4293351,6842372,10382869,8326753,8326754,5935785,5935784,254911189,9076367,5935763,3711479,2222555,2222556,1467907,1467910,2548143,2547870,1467751,1467753,2224528,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718683,4249682,6762196,6762199,10287076,6792845,6792843,10301031,8597564,8597562,10386877,268453822,267849579,3467526,5589262,6832028,6832029,9085911,9085910,13304280,10369283,10317825,6787665,4255269,2543887,2543888,4255275,6787674,6749324,4229100,4229102,6749332,9071832,5932336,3709302,2221296,2221297,3709303,2565334,2565333,2565626,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183215,332616,332619,596694,1061296,1859718,3176920,5207218,8127873,12086512,13138822,13138823,18493763,13138818,13138819,18493760,18493761,25024965,32709999,41614548,51916203,63724978,254693340 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13385485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13385485, s2 = 696399, int(edited[s2]) = 0 s1 = 13385485, s2 = 696399, d1 = 31, d2 = 4 Dl.O(d1) = 7411673,4683231,4683230,7411670,255080283,12304497,8310795,5362489,5362488,3297920,3297922,5364633,8314052,254591669,3297885,1939613,1107925,621744,621743,1107921,1107951,621759,345535,345536,621760,1107958,1939675,3298004,4586109,2759116,1599474,909345,909346,1599484,2759135,4586138,7272232,8268602,12238173,17370497,255463661,8264512,8264511,12238886,254587997,5333183,5331476,5331475,5366927,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299131,5366458,5336062,5336059,8269590,12238300,8263929,5331723,3277242,3277245,4708876,7452877,11231486,8287774,8287776,7799347,4945870,2985066,1733062,1160009,1160008,2026492,3428348,5542825,8544765,12294791,12240932,12240930,12241967,8267388,5575553,5575551,8263571,8257491,5327143,5327147,8257507,12229926,10029266,7455814,4710982,2838007,2838008,3415777,3415776,5529893,8531741,11959131,12273067,8287895,5346558,3285814,1932329,1932331,3285819,3286218,4712160,4713405,4401852,4401848,3285795,3285798,3459833,3459836,5576738,8582041,9189855,9189854,255262225,17415394,12274484,8289290,5347532,5347530,8289285,255168339,12623228 Dl.O(d2) = 17752913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13385485, s2 = 696399, dlinesl.size( ) = 2 s1 = 13385485, s2 = 696399, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13385485, Dl.E( ) = 34, 1.38e-05 seconds used appending s1 = 7906227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15057274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15057274, s2 = 7453210, int(edited[s2]) = 0 s1 = 15057274, s2 = 7453210, d1 = 135, d2 = 133 Dl.O(d1) = 21315759,15344916,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,28578343,21356341,15379157,10627577,10627578,15379164,21356353,21349028,15373267,10622850,10622851,15373272,21349038,21349173,15455111,10685935,10685936,15455116,16686448,16686450,15344883,12573559,8527590,5526097,3412469,3412470,4394627,4394629,6992846,6992867,4394646,2633438,2633437,4394640,6992864,10599374,15345023,10654623,9470656,9470657,13809803,19312777,21315777,28539130,31638652,40328310,46915235,46915294,46915263,37037695,28539178,21315808,15344961,15344962,17767827,17767826,24131237,17767841,12573710,12573711,15373313,10622877,268070679,21349106,28578320,268261602,31638487,31637983,31637981,31637989,31637988,40327564,31638490,24131278,24131279,17767925,17767922,24131368,21315899,21315892,21315893,21400032,21315828,21315829,21315786,15344940,15344938,21315781,28539137,28539122,28539121,37037655,28578352,28578353,37037682,28539153,28539151,24131272,17767854,12573728,8527689,5526157,3412499,3412498,5526152,8527681,12573716,12573685,12573686,17767801,21349168,21349167,28578401,31638481,31638480,28578314,28578313,31637985,24131431,17767959,12573779,8527721,8527723,12573783,17767965,17767938,17767939,24131399,21315836,15344973,10599346,10599347,15344982,21315852,28539227,37037673,42825193,40328080,40328079,46915249,37082605,37082606,40328296,40328083,31638430,24269943,24131223,17767808,12573691,8527667,5526147,5526148,8527671,12573697,17767824,17767849,24131265,31638465,40328068,37082648,37082647,39256483,31638604,31638605,31638676,40328332,31638686,31638683,31638682,31638666,31638665,40328297,31638635,24131388,24131389,31638030,24131227,18774644,18774643,21315843,21315844,28539213,37037731,46915292,42037637,42037635,50355322,58280669,46963548,46963477,37082506,37082507,31782729,24269940,24269941,30384459,24131177,17767773,12573677,12573676,17767767,24131168,24131258,24131259,31638462,40328112,40328455,31638792,31638793,30660770,30660768,33089685,33089686,42037600,52381400,46943160,40328446,31638781,24131503,17768021,12573823,12573822,17768016,24130910,17767598,13370534,9138205,9138207,13370540,18774662,25356863,33089725,33372061,33372062,42361053,52760678,46963479,37082511,28578267,28578269,22982157,16744774,16744772,22982152,30384464,38970776,40328010,50355245,48480062,40328000,31638457,31638459,40328106,50355345,48480055,48480053,59871858,60581769,49182127,42037597,42037595,50355226,40327982,31638336,31638337,40327986,37082545,37082544,40149266,31465599,23969938,23969930,23969932,24130919,31638035,31465667,23969981,23969980,31465664,40149320,40149338,40328430,40328431,40327656,40149221,40149222,38244045,29679225,29679227,22982143,22982144,30384453,38970767,42037632,42037633,38566604,38566605,31638052,31638053,38566594,38566589,38566588,44730361,50174796,49891487,48490577,38577308,30006415,30006416,38244070,48152963,50355215,50333515,50333517,50174832,40149276,31465606,23969944,17620498,12438911,12438912,17620505,23969962,28938025,21659361,21659362,27191045,35310865,44730307,35311253,35311254,42037604,33089693,33089692,35311023,44730410,38244041,30384439,24522983,24522981,32098231,32098235,39869443,39869444,49891497,47963683,38050499,37602710,29679236,29679233,38244058,48152954,39869434,31186993,31186992,39869428,39869475,39869474,49891515,52381393,49891508,40149241,35310896,34104015,29679241,29679240,31465645,23969965,23969949,23969950,27112963,27112962,27191050,20266770,20266771,27191055,27191090,27191089,27191166,20266854,20266855,27191172,27191270,32098248,24522998,18091761,12826731,12826730,18091756,24522987,23697263,23697262,31187003,27038214,27038213,35125326,40869986,40869985,44730431,39869440,31186995,23697258,23697257,27191037,27191660,27191657,35310914,27191678,27191677,35311318,34104020,26240561,26240564,27191032,31638473,31465639,31465638,27191134,20266834,20266835,20266783,14541106,10004622,10004621,14541112,14541385,14541383,14541150,14541151,20266868,20266970,27191274,32098240,24522992,24522991,27191082,28757197,35125316,35125397,27038272,20145330,20145331,27038279,27191097,27191096,24522977,20267082,14541305,14541306,20267086,20267099,20267109,14541461,10004833,10004834,14541468,20267313,27191335,27191334,27191418,27191419,35310836,35310905,27191102,27191101,20266840,14541141,10004643,6574616,4118413,4118411,6574612,10004635,10004794,10004793,10004651,10004652,14541166,17579238,23920660,27191389,20267411,20267412,21497863,21497864,27191805,27038284,20145334,14450721,14450723,20145342,21497848,15491221,10712499,10712500,10004737,6574662,6574663,10004745,14541321,20267114,15491226,15491225,21497854,28757188,27191306,27191303,27191302,35311047,31410567,27191398,27191297,20266987,14541240,10004696,6574641,4118426,2463367,2463365,4118420,6574633,6574703,6574704,10004798,14541398,20267212,23920655,27038337,20266926,14541531,14541533,20267417,20267400,14541582,14541581,20267474,21497907,21497908,27038291,27191115,21497761,20266974,14541293,10004723,6574656,6574657,10004729,14541297,15463331,10692155,10692154,14541247,10004700,10004701,14541253,20266994,27191312,27191590,27191527,20267179,14541361,10004773,6574686,4118450,2463382,1423944,1423942,2463374,4118438,4118455,4118456,6574700,10004789,14541380,20267188,20267431,14541545,10004863,10004862,14541540,14541522,14541521,20267199,27191546,27191281,27191200,27191201,28756865,28756867,27191277,20267057,14541284,10004717,10004716,14541278,10692142,10692141,7063733,4447465,2671943,2671944,4118428,6574643,6574735,10004813,14541421,14541439,20267268,27191622,21463950,15463209,10692078,10692079,15463214,12860548,12860549,15463271,15463272,10712204,7076901,7076900,10712198,15490846,21497499,21464016,21464015,28720226,28720235,21464023,21464008,15463250,10692101,7063708,7063705,7063704,10692095,10692129,10692122,10692121,15463293,21464062,24656383,20267468,20267467,20267455,20267454,20267260,14541435,10004821,6574729,6574730,10004843,14541488,20267264,20267265,27191618,28756910,28720175,21463943,21463942,21463963,24579062,18136316,18136317,24579065,21497506,15490851,15490852,21497483 Dl.O(d2) = 266232197,274725061,237567435,266803685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15057274, s2 = 7453210, dlinesl.size( ) = 24 s1 = 7850233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7866319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13784953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6451227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6451227, s2 = 13571500, int(edited[s2]) = 0 s1 = 6451227, s2 = 13571500, d1 = 7, d2 = 8 Dl.O(d1) = 254619011 Dl.O(d2) = 147180682,260880383,105904764,91697404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6451227, s2 = 13571500, dlinesl.size( ) = 2 s1 = 6451227, s2 = 13571500, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6451227, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 6451266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7851107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 230922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8053669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 150962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6470160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7947571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13247585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13247585, s2 = 14226539, int(edited[s2]) = 0 s1 = 13247585, s2 = 14226539, d1 = 8, d2 = 18 Dl.O(d1) = 8793043,12925695,18154956,12874078,8755246,5700314,3546993,3546990 Dl.O(d2) = 48803544,49410011,39480512,30875537,30875536,38242470,30875538,23445701,17170609,17170608,23445698,30875534,39480509,37209818,28685739,21435897,15441433,10675500,7051252,4438326,4438325,7051245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13247585, s2 = 14226539, dlinesl.size( ) = 2 s1 = 13247585, s2 = 14226539, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13247585, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 6570303, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 508549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 508549, s2 = 14850312, int(edited[s2]) = 0 s1 = 508549, s2 = 14850312, d1 = 10, d2 = 13 Dl.O(d1) = 12941134,8804127,5734994 Dl.O(d2) = 256079545,254894183,5734997,254894185,18243699,24716743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 508549, s2 = 14850312, dlinesl.size( ) = 14 s1 = 9140842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9140842, s2 = 8764987, int(edited[s2]) = 0 s1 = 9140842, s2 = 8764987, d1 = 11, d2 = 7 Dl.O(d1) = 271095730,51354204,41168919,32353933,24738022,18265048,12961515,8821151,5747275,3578643,3578646,3580376,2133518,2133515,2708611,2708595,2708598 Dl.O(d2) = 205562830,210716022,205562840,205562826,205562828,210716019,210716038,214925540,214925543,210716043,264132707,191967226,199331802,273961135,205562848,210716041,210716031,205562839,205562838,210716028,214925531,214925532,214925533,218388307,264926059,210716036,205562842,199331794,191967223,183405771,183405770,191967221,199331789,264425521,214925533,218388307,264926059,264688371,210716019,210716038,214925540,214925543,210716043,264132707,183405773,173611891,262089897,123683685,109492214,95239155,81183989,270661339,44532973,44532974,55379205,67719015,81183991,95239156,88076117,88076116,102062373,116120585,130030374,143362924,155906202,159601556,147245663,134028575,120195139,105994480,91799839,258421359,52773779,42374797,256141335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9140842, s2 = 8764987, dlinesl.size( ) = 12 s1 = 7849257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7849257, s2 = 15345789, int(edited[s2]) = 0 s1 = 7849257, s2 = 15345789, d1 = 62, d2 = 64 Dl.O(d1) = 8400703,8400704,12429537,17609000,23956009,31448502,31448460,23955967,17608973,12429523,8400697,5421004,3332508,3332507,5421003,8400696,12429517,17608953 Dl.O(d2) = 1959881,3332438,5420922,254597591,3332419,254404917,3332448,5420938,5420894,5420893,5420910,254597593,8403192,8400868,8400867,255181703,12429387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7849257, s2 = 15345789, dlinesl.size( ) = 2 s1 = 7849257, s2 = 15345789, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 7849257, Dl.E( ) = 96, 3.91e-05 seconds used appending s1 = 13328433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13328433, s2 = 236763, int(edited[s2]) = 0 s1 = 13328433, s2 = 236763, d1 = 0, d2 = 0 Dl.O(d1) = 245600474,267526637,246352955,246437647,246517470,267572007,246572036,246494833,246413841,267523816,246139348,246037570,246037571,275021732,245691795,245560799,245421222,245273096,245114799,244945726,244766204,244574054,244367439,244144190,243904117,267205372,243074149,242759322,274896594,241660469,241231676,240768641,266880022,239729628,239146601,238512177,237819157,237057086,236222728,235307864,234304431,233201947,231983595,230631144,229113355,227395122,225430433,223170382,220555526,217480891,213794553,209302105,203825524,197265683,189576049,180677781,261961690,146833363,133575256,119700384,105461108,91238661,77318547,257775517,41977567,33034468,33034469,41977570,52318088,259017107,101993769,88016034,74409742,61630374,61630373,257152907,32470390,255629033,8862844,5777194,254632881,1241235,1220511,689442,384948,379249,228921,126102,68446,64196,64198,66332,66335,122083,222079,397282,254199395,1241236,2147419,3599631,5777195,8862845,268132151,24830767,32470391,41315908,51536754,63253428,76272864,90085324,104217660,118377242,132194080,145423755,157824664,169253861,179506028,188523868,196378128,203093583,264605619,217120552,220265157,222929490,225225425,227221318,228965235,230504766,231874910,233108074,234223066,235236383,236158770,236999769,266694517,239103894,239689870,240232132,240734491,241199706,241630522,242028547,242395587,242676316,242331374,241958951,241555917,241121100,240652195,240146083,266810770,238366505,237661306,236884769,236030603,235091034,266253761,231672844,230280335,228713671,226933204,224890262,222537597,219798492,265210842,202044675,195137416,187060907,177787457,167293246,155661696,143110346,129780361,115881963,101836971,87864220,74261910,61484566,50006284,39988474,31311886,23823029,23823027,31311883 Dl.O(d2) = 245600474,267526637,246352955,246437647,246517470,267572007,246572036,246494833,246413841,267523816,246139348,246037570,246037571,275021732,245691795,245560799,245421222,245273096,245114799,244945726,244766204,244574054,244367439,244144190,243904117,267205372,243074149,242759322,274896594,241660469,241231676,240768641,266880022,239729628,239146601,238512177,237819157,237057086,236222728,235307864,234304431,233201947,231983595,230631144,229113355,227395122,225430433,223170382,220555526,217480891,213794553,209302105,203825524,197265683,189576049,180677781,261961690,146833363,133575256,119700384,105461108,91238661,77318547,257775517,41977567,33034468,33034469,41977570,52318088,259017107,101993769,88016034,74409742,61630374,61630373,257152907,32470390,255629033,8862844,5777194,254632881,1241235,1220511,689442,384948,379249,228921,126102,68446,64196,64198,66332,66335,122083,222079,397282,254199395,1241236,2147419,3599631,5777195,8862845,268132151,24830767,32470391,41315908,51536754,63253428,76272864,90085324,104217660,118377242,132194080,145423755,157824664,169253861,179506028,188523868,196378128,203093583,264605619,217120552,220265157,222929490,225225425,227221318,228965235,230504766,231874910,233108074,234223066,235236383,236158770,236999769,266694517,239103894,239689870,240232132,240734491,241199706,241630522,242028547,242395587,242676316,242331374,241958951,241555917,241121100,240652195,240146083,266810770,238366505,237661306,236884769,236030603,235091034,266253761,231672844,230280335,228713671,226933204,224890262,222537597,219798492,265210842,202044675,195137416,187060907,177787457,167293246,155661696,143110346,129780361,115881963,101836971,87864220,74261910,61484566,50006284,39988474,31311886,23823029,23823027,31311883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13328433, s2 = 236763, dlinesl.size( ) = 2 s1 = 13328433, s2 = 236763, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 13328433, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 236818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 236818, s2 = 14496191, int(edited[s2]) = 0 s1 = 236818, s2 = 14496191, d1 = 2, d2 = 20 Dl.O(d1) = 5779783 Dl.O(d2) = 2149364,1242872,1242874,2149367,1337053,1337052,779083,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438350,438349,441930,778991,786656,1382814,2388763,3658848,5860893,6159082,3853830,2308942,2308944,3853836,2394708,1385810,788166,788165,1385806,1337268,1337269,2304415,3845747,3857585,3857587,3983753,2387599,1382179,1382181,2387607,3983772,3996361,3996363,6300506,3947830,2363950,2363953,2396392,1386836,1386833,2330641,3892595,2364009,1368783,1368786,2334004,1352776,771651,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771733,438390,438395,771753,1353012,2334404,254457153,9493760,255292561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 236818, s2 = 14496191, dlinesl.size( ) = 8 s1 = 58324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 58324, s2 = 981707, int(edited[s2]) = 0 s1 = 58324, s2 = 981707, d1 = 0, d2 = 0 Dl.O(d1) = 1249917,2159903,3616873,5799210,8890352,13050806,18376405,18376406,24873872,32515936,41362870,51584306,63302555,76325913,90143834,104283640,118454286,132281812,145518334,157918719,169341151,179588221,262426310,159215023,146842127 Dl.O(d2) = 1249917,2159903,3616873,5799210,8890352,13050806,18376405,18376406,24873872,32515936,41362870,51584306,63302555,76325913,90143834,104283640,118454286,132281812,145518334,157918719,169341151,179588221,262426310,159215023,146842127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 58324, s2 = 981707, dlinesl.size( ) = 2 s1 = 58324, s2 = 981707, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 58324, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6452692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6452692, s2 = 11049234, int(edited[s2]) = 0 s1 = 6452692, s2 = 11049234, d1 = 30, d2 = 24 Dl.O(d1) = 254635423,5820785,8919546,13089029,18427305,24940431,32603448,41481736,51751534,60344019,73083687,73083680,73083683,86687732,100660450,259486848,131864464,118039298,103897001,89795832 Dl.O(d2) = 50903457,62503898,75422836,89170483,88602911,74961296,62151324,50644207,40595686,31887732,31887733,40595689,31887739,31887740,32549040,32549041,41407225,51648004,62151354,62151394,50903438,50903432,40786750,32029917,24467728,24467729,24467702,18047867,12794117,8698300,8698299,12794115,18047862,24467693,24788784,32029959,40786787,50903446,41340498,269050285,49457132,49457131,60859996,65352374,78655704,256688026,44819449,35393651,27267116,20331743,20331742,18989472,13550475,9276327,9276331,13550491,13483131,13483130,18913885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6452692, s2 = 11049234, dlinesl.size( ) = 2 s1 = 6452692, s2 = 11049234, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 6452692, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 356037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 356037, s2 = 11347669, int(edited[s2]) = 0 s1 = 356037, s2 = 11347669, d1 = 34, d2 = 38 Dl.O(d1) = 8951303,5842499 Dl.O(d2) = 205150801,205150816,198844162,191397451,191397450,198844161,205150814,205150822,263284268,182744078,172843712,161684278,161684279,172843715,182744083,191397461,198844173,263664368,198844151,198844146,198844145,205150801,205150816,198844162,263664378,210374592,210374594,210374586,205150798,198844156,191397446,182744065,172843706,161684275,149391186,136137725,122170243,107759756,93331945,79200710,65838537,256574724,49034662,60438484,73185215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 356037, s2 = 11347669, dlinesl.size( ) = 22 s1 = 238824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1228439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1228439, s2 = 14486706, int(edited[s2]) = 0 s1 = 1228439, s2 = 14486706, d1 = 1, d2 = 3 Dl.O(d1) = 31039500,23557400,256498271,255994503,23557497,31039594,256746550,22209332,22209333,22209589,16078956,16078958,16079697,16079698,16078886,255456015,22209458,29554243,29554367,22209575,22209576,22209104,22209105,255456205,11167537,7408839,7408840,11166143,16078741,22209379,16078810,11166204,7407922,7407921,254351663,2820413,4681069,7408229,11166681,16079382,22210057,255893873,22211383,22211382,29556230,256389973,22211297,16080373,11167389,11167388,11167475,7408787,4681379,4681380,7408789,11167478,8982828,5864518 Dl.O(d2) = 8982825,13177939,18546584,25092803,29555218,29554978,22210162,22210163,16079456,11166727,7408253,4681084,2820422,1636302,1636303,2820425,4681090,7408272,11166764,16079512,22210261,21924671,21924673,29244339,29556398,38120239,29555070,29555071,38120240,48033453,48033510,48033511,48033450,48033451,59425817,59425816,70401868,257389467,46358920,48033357,38120145,29555013,22210184,22210183,29555011,38120190,48033402,59424582,72163424,257493134,59425777,256932141,38120183,48033391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1228439, s2 = 14486706, dlinesl.size( ) = 2 s1 = 1228439, s2 = 14486706, "passes" = passes Sat Dec 09 04:19:02 2017: s1 = 1228439, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11656864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656864, s2 = 14229699, int(edited[s2]) = 0 s1 = 11656864, s2 = 14229699, d1 = 15, d2 = 13 Dl.O(d1) = 39277051,35301581,27182362,23263449,23263448,25427792,18834223,18834224,18834226,13419080,254649285,3755548,3302822,1942761,1109806,1109805,1942759,1305434,745020,745019,423203,238802,131967,71723,71722,131965,238799,423199,745017,1305431,2192572,2192571,2242393,1300406,1300407,2242398,2242342,2242341,3746045,5867425,3767866,3767867,4024429,4024430,5870158,3667177,2195130,1275250,1275249,2195127,254201739,727346,413847,233723,233722,413844,233952,233953,414253,728025,1273537,2193124,1428837,1428836,1272334,1272333,254201961,746015,746017,454947,256375,141962,77786,77787,141967,256384,454729,454727,802610,1272553,795879,460703,460702,812806,1273559,728036,414265,233961,129040,69952,37981,37982,70268,129606,234191,129204,129203,234187,414587,421606,425036,425204,240073,233207,233206,413100,726407,414404,414405,728202,748611,425498,240277,267742733,748608,1311150,2194266,1396485,1396243,1396244,794528,794529,740389,457366,457365,796158,796157,790925,790924,1390873,2403619,1390892,790947,790946,738190,738189,794549,794547,1311135,267759771,726156,745908,745909,792428,448746,252503,142866,142867,257843,457373,459712,811260,267749033,259549,143936,79162,43316,43317,79168,142064,256544,240009,132756,72200,254071329,21579,13255,13253,23773,42928,78612,143211,258357,257835,142861,78363,78362,142859,257830,457359,726226,726227,803648,803584,455355,254116665,458475,258566,143363,132612,72093,39100,39099,43336,24053,23151,12881,12882,23157,41949,254073757,24037,13423,7400,7401,13424,24038,43306,72102,79133,43284,24025,13417,13415,24021,43280,79126,143894,259485,460195,812157,1427836,2470304,4129676,6591811,10030026,14576146,20311044,20311054,20311053,16836783,16836782,23091339,23091337,16836808,11774001,7860745,4989085,3013440,3013439,1750393,1750392,3013452,4989101,5867419,3663186,2191877,2191878,3663188,5867423,8987296,13184243,13184244,18554824,25103591,32805654,41725910,52040977,61434353,49956634,39939750,31264750,23779456,23779455,31264748,39939746,49956616,49956617,61434336,74213321,86078639,87817132,74213323,74213322 Dl.O(d2) = 46724424,36841723,35085323,35085322,44460558,55305528,67644382,81110667,85232837,71667952,58946348,47563530,37657412,268392803,21808810,29107609,37657415,37657230,29107463,21808690,15747102,15747103,21808692,29107466,23321800,17056580,17056581,15747558,15747557,21809278,29108076,37657289,29107511,29107512,26733401,19898416,19898415,26733397,34753454,44070165,54870524,58945880,58945881,71667499,71871995,59133878,47735323,47735322,256725488,29965436,22600598,255102093,255013522,22600596,29965434,38531385,47735280,58945929,58945928,47735292,37813065,37813064,47735290,59133849,58093429,46721257,46721255,58093424,70810771,58093439,58093438,46721289,36838419,36838418,36838427,37813131,255316232,21928035,29248358,37813100,47735340,59133894,47735350,37813108,29248362,29248361,37813106,47735347,48439664,47735369,47735370,59133922,256224808,38531380,38531379,47735272,37813054,37813053,47735269,37813068,29248342,21928027,21928028,29248344,37813070,256202454,37813079,29248349,29248350,37813080,47735274,256725478,29075202,21777186,15717898,10880976,7193959,7193960,10880978,15717904,21777195,29075205,21777190,15717900,15717901,21777192,29075207,29075208,37626159,257476339,71634728,85199539,99122220,113112572,100001011,86038631,72440432,59704221,48317287,38406479,29834585,254507442,16299719,22467817,18825785,18825786,20828766,20828765,24026975,20876866,20876867,28044843,36508456,46366699,57716123,70410291,72454829,59718643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656864, s2 = 14229699, dlinesl.size( ) = 2 s1 = 11656864, s2 = 14229699, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656864, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 13794605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7976570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7899140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7910765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13290427, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9681884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9681884, s2 = 11254360, int(edited[s2]) = 0 s1 = 9681884, s2 = 11254360, d1 = 57, d2 = 21 Dl.O(d1) = 254431798,4954212,2990638,2990639,3619584,2161271,2161269,2160567,1923232,1737754,1737757,1282848,1282844,1282914,1282909,1283636,1283633,2211237,3693267,5909615,9042509 Dl.O(d2) = 60267316,48875032,38955464,30369345,30369344,38955463,48875030,258186052,257577992,257674382,257674380,42813922,42813923,40322507,40322506,50349000,61833067,61833066,57793302,50349025,40322536,31633661,31633660,40322534,50349022,269882445,78398989,271670865,95661462,95194479,95194478,259789193,106924703,259096212,75811315,62847756,51198511,51198510,62847787,73561127,74726899,62847626,55385320,55385321,67724722,62847595,51198295,51198296,50442541,40408477,40408478,41042470,41042472,50442450,61933167,74726839,72318414,59583805,48197356,38288232,29721776,29721777,35162268,27075316,27075315,31716263,40408480,50442546,55385315,257693420,67724748,67724747,81188774,74625567,74625566,84110492,70574033,257142616,36650225,28174490,20993135,15079196,15079197,20993137,28174494,36650231,46517417,57873077,58388221,47017009,47017010,57873063,70574028,72323871,59589348,48202869,48202870,59589350,72323874,256826302,63811839,63114671,51417936,256102400,63114701,51417937,41221358,32397848,32397847,41221356,47016996,58388204,51996752,41685407,32769109,25072207,18529763,18529764,25072209,32769112,41685409,51996757,53707050,53707051,63114670,258974259,258049989,47016994,37129539,32071725,32071726,40841180,50972707,62591236,70574072,64727510,63811890,51996714,257170940,76918609,78891344,65556281,55201939,44351432,44351431,44351443,55201934,46910165,37033197,28535266,28535265,37033195,46910162,58275193,55201942,55201943,255792934,27956191,20794742,20794741,27956190,268373166,55201948,44351440,34974009,34974010,44351442,44351428,34974003,26894840,26894839,34974001,44351388,44351387,55201901,67545704,55201921,44351412,44351411,255584822,44351417,39955926,39955927,258923550,269553775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9681884, s2 = 11254360, dlinesl.size( ) = 30 s1 = 7951270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 243125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 243125, s2 = 272635, int(edited[s2]) = 0 s1 = 243125, s2 = 272635, d1 = 0, d2 = 0 Dl.O(d1) = 7642020,7642021,11489887,16491018,21214890,28440310,36939778,32361123,24744744,24744747,32361125,256467434,22798929,16582090,16582089,16491011,13316193,9096856,5951605,3721939,2228574,2228577,3721946,5951613,6767174,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459350,2532477,4235716,4270380,4270377,6808651,10329428,14930163,10266890,6746496,4227369,2527682,1456759,824811,465799,262181,262177,465789,824799,1456734,1456925,1456927,2528014,2547898,4261868,6748254,4228470,4228469,4929920,4308971,2576558,2576559,3706333,5927436,4242042,2536319,2536320,4242051,5934016,3710371,2559942,1474358,833746,833750,833730,833732,1474323,2559862,4281534,6824835,10361252 Dl.O(d2) = 7642020,7642021,11489887,16491018,21214890,28440310,36939778,32361123,24744744,24744747,32361125,256467434,22798929,16582090,16582089,16491011,13316193,9096856,5951605,3721939,2228574,2228577,3721946,5951613,6767174,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459350,2532477,4235716,4270380,4270377,6808651,10329428,14930163,10266890,6746496,4227369,2527682,1456759,824811,465799,262181,262177,465789,824799,1456734,1456925,1456927,2528014,2547898,4261868,6748254,4228470,4228469,4929920,4308971,2576558,2576559,3706333,5927436,4242042,2536319,2536320,4242051,5934016,3710371,2559942,1474358,833746,833750,833730,833732,1474323,2559862,4281534,6824835,10361252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 243125, s2 = 272635, dlinesl.size( ) = 2 s1 = 243125, s2 = 272635, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 243125, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8100984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8100984, s2 = 10146476, int(edited[s2]) = 0 s1 = 8100984, s2 = 10146476, d1 = 11, d2 = 0 Dl.O(d1) = 254644009 Dl.O(d2) = 737671,1292524,2228689,3722102,267928955,9097048,5951790,3722112,2228694,254146073,419253,254082361,21034,38253,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472336,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228195,6747842,5936012,4285703,2562254,2562253,4285699,6831063,10309432,10309431,10316592,10386741,9072743,5933024,4702768,4702769,7442929,5939237,267928577 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346355, s2 = 10147995, int(edited[s2]) = 0 s1 = 10346355, s2 = 10147995, d1 = 21, d2 = 18 Dl.O(d1) = 255663894,29575534,22228226,22228225,268084472,19454254,13921885,9555552,6270070,3925787,2350242,1361507,1361510,2350245,3925795,6270044,3925771,3925770,6270039,9555507,13921804,19454048,19454047,22228186,22228187,18289787,18289786,24767856,25689747,19065681,19065680,256388023,28643387,255829124,10655874,7036542,4427320,4427319,7036541,10655863,257442217,41311856,32466766,24827753,24827752,26304013,32466774,32466773,41135835,33186928,25441573,25441572,33186926,42146221,43940791,255680016,28398618,21178318,15218085,10497391,6922064,6922065,10497393,14451512,10540257,10540259,15273627,17162996,12066685,8113943,8113942,6958483,4371970,2619128,1512067,857315,484082,484080,857308,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669 Dl.O(d2) = 10534252,15266868,15273179,15273180,21240811,25562931,18951266,13514708,13514706,13518631,18955146,21229172,15297019,10561565,10561566,15297025,15303941,15266622,10534050,10534052,10539121,9677013,6364379,3993280,3993278,6364366,9676983,14071118,19634283,21229712,15277643,15277642,14449944,14449947,15259169,268204049,15272310,15272312,15308969,15263973,10538999,6950329,6950330,10539007,12066908,8114133,8114131,12066899,15285215,21250684,255672057,13520994,255268167,15298632,15298631,15275703,10542057,6952423,4368523,4368526,6952434,8108395,12059512,15303077,18509805,19833899,15265852,11746822,11746824,15259466,15272751,10539432,6950616,6950563,6950534,4367649,4367648,4367697,2619284,1512146,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,4370141,6955298,6955125,6955124,10534514,15267184,256308551,256511270,23433548,20215187,20215188,21245006,21250885,15285562,15285563,15267801,10535053,6947722,4370063,2618157,2618156,4370058,6947689,6964562,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363623,6943477,6943661,4363725,4363727,6943665,10528430,9251060,6058732,6058734,9251065,10546428,10559881,6964877,6964879,10559890,15274309,21241686,28462026,21251034,21229744,21229745,21264495,21264498,17153239,17153241,23430087,23428884,17151727,17151508,15265704,10533276,10533278,15265713,10977346,10977345,15273941,15273942,15273979,15272990,10551050,6958657,6958215,4371788,2619019,2619017,4371781,2619084,2614981,2614983,4363623,6943477,6943661,6943659,10528414,15259935,15267850,15267852,13993414,9613153,6314255,3957572,3957571,6314268,9613179,8113309,8113307,10556583,15260403,10528773,6943848,6943850,10528409,10528495,10528496,10528534,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,4370141,6955298,6955125,6955124,10534514,15267184,256308551,256511270,23433548,17157799,15268995,15268994,21237385,21241633,15295511,15295514,15303965,21265878,15304290,15304288,15278318,10544419,255024665,21245006,21250885,15285562,15285563,15267801,10535053,6947722,4370063,2618157,2618156,4370058,6947689,6964562,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,6955324,10546295,10546251,6955267,6955265,10546124,6968847,6968848,10565679,13342785,15285868,10551435,10551436,15285872,21241296,15305933,10569786,6971598,4379645,2622973,2622974,4366223,2616247,2616248,2616868,3168533,5192587,6841374,6841375,9254535,13521021,9252773,6059914,3791635,2271336,1317314,1317312,1317913,1317912,2272504,3792624,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514327,13514435,9247344,6056295,6056291,254595704,11694750,11600499,11600496,13521773,9253436,6060369,3791918,3791917,6060365,9253428,13521760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346355, s2 = 10147995, dlinesl.size( ) = 2 s1 = 10346355, s2 = 10147995, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10346355, Dl.E( ) = 22, 1.22e-05 seconds used appending s1 = 243713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 243713, s2 = 16175452, int(edited[s2]) = 0 s1 = 243713, s2 = 16175452, d1 = 0, d2 = 10 Dl.O(d1) = 5965878 Dl.O(d2) = 42291380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 243713, s2 = 16175452, dlinesl.size( ) = 2 s1 = 243713, s2 = 16175452, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 243713, Dl.E( ) = 28, 1.31e-05 seconds used appending s1 = 11655466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 159999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 244554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6453561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658112, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10346851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 245238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 245238, s2 = 24245, int(edited[s2]) = 0 s1 = 245238, s2 = 24245, d1 = 0, d2 = 6 Dl.O(d1) = 6004560 Dl.O(d2) = 3303801,254592547,3302584,1942565,1942567,1942662,3302699,4024017,3302531,3302530,3302479,2524157,1454617,1454616,2411301,2411302,3756933,2258700,1310984,1310983,2258698,3769825,6026001,6026002,3769828,2258702,1310985,748474,425393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 245238, s2 = 24245, dlinesl.size( ) = 2 s1 = 245238, s2 = 24245, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 245238, Dl.E( ) = 12, 1.19e-05 seconds used appending s1 = 11655518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 528769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 528769, s2 = 13244610, int(edited[s2]) = 0 s1 = 528769, s2 = 13244610, d1 = 1, d2 = 4 Dl.O(d1) = 13451367,254651069 Dl.O(d2) = 6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,7269610,10982592,10982631,15847388,15847008,12376408,8386869,8386872,8383307,8383306,7903254,7903256,11825917,16898531,23159764,23046109,23046110,30454351,24260743,17883165,17883164,24260740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 528769, s2 = 13244610, dlinesl.size( ) = 2 s1 = 528769, s2 = 13244610, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 528769, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 6497858, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7891906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7891906, s2 = 8444240, int(edited[s2]) = 0 s1 = 7891906, s2 = 8444240, d1 = 36, d2 = 48 Dl.O(d1) = 255671054,254446902,15178097,10468319,6900868,6900865,10468347,10017011,6584299,6584296,10017615,10016935,6583832,4125110,2467778,2467779,4125115,6583846,10016953,14557192,14557147,10016914,10016642,6583663,6583665,10016649,12387313,8370791,8370790,5410981,5406739,5406738,8377882,12396840,12396838,12401296,11748729,7844184,7844186,7844205,7844225,7844224,10541192,10541193,13513153,10805627,7140085,4495638,4495639,7140091,10805643,15617556,13532391 Dl.O(d2) = 259172835,109602838,98536785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7891906, s2 = 8444240, dlinesl.size( ) = 26 s1 = 1013177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10163578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10163578, s2 = 4329910, int(edited[s2]) = 0 s1 = 10163578, s2 = 4329910, d1 = 47, d2 = 25 Dl.O(d1) = 42361560,33372560,32534131,24889203,18389427,13062117,13062116,9280211 Dl.O(d2) = 166858505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10163578, s2 = 4329910, dlinesl.size( ) = 2 s1 = 10163578, s2 = 4329910, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10163578, Dl.E( ) = 52, 2.19e-05 seconds used appending s1 = 7990600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7990600, s2 = 11203102, int(edited[s2]) = 0 s1 = 7990600, s2 = 11203102, d1 = 34, d2 = 30 Dl.O(d1) = 268304080,268226523,29767771,38338739,48249223,43883212,256141482,26623066,34612026,37888399,37888400,32838952,29732693,22375252,16219504,16219508,22375265,29732713,34002541,34002543,30046804,22671473,19458045,19458044,26157365,30432954,23026752,23026753,30432958,24058700,17703759,17703758,24058697,26159237,19459600,13926683,13926684,19460282,19043493,19043492,257825362,18983745,13581558,9299549,6091882,6091884,6106707,9299475,6092132 Dl.O(d2) = 269191732,21970315,21970314,29296817,37866100,47790691,47790688,47790689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7990600, s2 = 11203102, dlinesl.size( ) = 20 s1 = 8290768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7806597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13185549, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14162174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8191264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8034568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6501576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 252674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9434051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162030, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6453859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13257737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 499796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 254897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7836289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 67208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 67208, s2 = 13582542, int(edited[s2]) = 0 s1 = 67208, s2 = 13582542, d1 = 38, d2 = 36 Dl.O(d1) = 1358532,774419,774420,1358536,2345086,2345084,3917690,6258057,7475880,4724662,2846714,1651657,1651660,2846727,4724693,4804249,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478116,11425804,11425803,16409972,22592745,16409680,16409682,22592755,25412416,18821026,18821029,22591439,16408787,11425069,11425070,9687636,7594805,6891165,4326025,4326023,6891155,10454067,15158703,21103247,16473794,11478103,254161684,22669524,29957152,29957257,29957256,30044569,254509684,37553759,37553776,29957537,29957536,37566758,29870639,22511359,16337520,16337521,21746603,15694850,15694838,10865004,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594926,11425583,15695944,21748202,15697522,15697523,21749201,15696642,11477748,254745452,22668999,30044500,254510006,53143033,47495384,37591135,29043568,29043570,37591143,47495438,58875550,61973120,50483214,40446830,40446829,47477554,58189474,46823400,36945449,28445741,28445743,21219706,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033429,29033427,37580751,47468557,47475438,37569593,37569594,47475443,58853265,50480830,50477175,40440382,37575449,29028449,21737971,15688486,15688487,21737978,29028471,22263704,22263703,29614614,37551882,47459381,58844763,53373822,47498868,47464698,47464699,48162598,38253378,38253377,48162593,47499023,47488137,37583132,37583130,47476983,38181646,29614664,22263729,22263731,21734372,21734374,29023963,29024164,37570976,29024133,29024137,33153442,42107855,52460506,47475404,37569575,37569577,47475405,58858361,255543922,50467890,49154108,49154110,48539667,38625283,30051417,22675496,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,17338821,23655563,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728987,61207482,50467704,40429802,31735650,31735647,28272207,28272210,31749949,24238663,24238662,31742590,24233137,24233139,31743041,40437268,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,17859152,12647333,8587103,8587101,12647361,17859462,17856632,17856628,24229143,31738072,37561270,29014731,21726945,15680788,15680787,21726941,29014716,30051293,255423768,30051310,30051311,37575117,29028204,29028201,37575107,47480843,58852874,256892504,61969315,74767761,74766046,61966375,61966374,74766043,74767994,61969714,58838327,47452425,37544530,28999175,21714198,21714197,28999173,37544528,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033411,29033413,37580719,30580548,30580549,39178412,47498881,58878850,71553863,58877698,58849093,47464288,37575412,29028427,21737957,15688483,15688484,21737962,21130386,21130384,28342595,28342597,36839316,38502060,38502062,48407938,59792852,58873245,58873246,71594892,59180014,59180013,62212019,58869565,47488124,37583124,37557946,29023882,21734327,15685887,10858960,7179175,4522510,4522513,7179187,10858990,15685956,21734461,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,33601065,33601069,42625603,47780402,59179627,61969592,50482013,50482014,49728543,48093528,38181811,29614785,29614786,37556390,37556394,37566847,39825202,39825203,31742716,31742715,40436846,47468868,47295986,37386631,37386635,47295996,38067162,38067164,31740490,31740494,37386442,47295690,47295814,47468603,37561673,37561675,31750888,24239372,17863995,17863999,24239388,29549411,29549410,38112228,48021764,59408295,61971321,50478198,47478368,47478369,58860876,59179957,50468219,50468217,50473441,50473442,50499576,47492297,37587865,29040326,21747892,21747893,29010199,33332187,25572447,18963422,18963423,25572453,33332200,42312526,52699614,50472127,47296054,37386679,28846399,24230965,17857814,12646318,12646313,17857805,21574406,21705001,28988772,37533515,47441415,49777902,47295796,37386496,29549428,22205787,22205785,29549421,38112251,48021813,59408348,59408448,59408445,61964798,50482008,40445627,31750871,24239361,24239358,31750857,40445587,50481936,256551026,39473405,49401900,60802633,258121148,72548821,72548820,71419945,71419946,72638532,72549325,60472015,59231441,49068585,39138231,37386643,28846375,21574466,21574465,28846372,37386640,47295997,58686833,58686505,47295662,47295661,58686500,47295842,37386518,37386517,47295836,58686705,71419940,73218640,85486012,84993374,71420005,58686783,58686782,71420001,59162752,59162750,61974279,71576577,59162528,47763746,37841107,37841105,47763739,49973676,61451504,71419807,72548809,62726657,51094517,51094515,58686603,47295756,47295753,37912095,29342876,22010828,22010830,26967178,35048004,35048022,44422631,55269960,47477476,37571635,37571634,47477473,58860138,71584112,72549645,72549647,71419832,71419831,72593695,59855992,48465073,48465072,59162768,58686583,47295736,37386465,37386466,47295742,58686594,61966313,50471254,50471255,61966318,50472732,40435329,40435330,50472721,61967450,74766686,74766685,88400339,75673331,62726588 Dl.O(d2) = 66962168,80392447,94452012,108745333,112516281,98521273,84596255,71031771,71031769,84596253,98521272,259916222,98521270,112516276,126387131,139762673,152483566,152483567,139762674,139762675,139762671,139762672,139762676,139762677,126387141,112516282,98521274,84596255,71031771,58315894,46948979,256317424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 67208, s2 = 13582542, dlinesl.size( ) = 2 s1 = 67208, s2 = 13582542, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 67208, Dl.E( ) = 40, 2.29e-05 seconds used appending s1 = 256709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7563779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 258222, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13208381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 260182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 260182, s2 = 14193524, int(edited[s2]) = 0 s1 = 260182, s2 = 14193524, d1 = 30, d2 = 32 Dl.O(d1) = 9705193,6383780,4005565,4005566,6383783,9705196,14108905,19680442 Dl.O(d2) = 74307542,61529923,50050491,40030326,31349786,31349785,40030325,50050490,61529922,256451170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 260182, s2 = 14193524, dlinesl.size( ) = 2 s1 = 260182, s2 = 14193524, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 260182, Dl.E( ) = 34, 9.06e-06 seconds used appending s1 = 1235894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 171668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8521543, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8418148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348636, s2 = 7989508, int(edited[s2]) = 0 s1 = 10348636, s2 = 7989508, d1 = 36, d2 = 42 Dl.O(d1) = 269496266,8624657,5607705,3482361,3482360,5607702,4870070,2934649,1701987,967513,967515,1701970,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2935510,1702386,1702384,254364327,7697001,11564325,257545913 Dl.O(d2) = 255876270,21802346,15742019,15742020,18229248,12929860,8795898,5729411,3567318,3567319,5729417,6262244,6262243,9544568,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,6510224,4079572,2440922,2440917,4079560,6510205,9905082,9779106,6429669,4033758,4033757,6429662,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786860,255318141,256278714,47348517,40006951,255246354,22719674,254712104,11509136,12873067,8754473,5699770,3546629,2111933,1216919,254197265,3546627,4403488,3615741,2159217,1249518,1205159,679926,378747,378590,207922,207923,378519,667770,370423,202800,110606,60713,60709,34327,34326,35531,35527,64530,67586,254081863,267748415,255635067,256141928,6169099,3860122,2312487,1341551,766156,766158,1341564,1362558,1341716,1341720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 9459140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9459140, s2 = 14033269, int(edited[s2]) = 0 s1 = 9459140, s2 = 14033269, d1 = 4, d2 = 3 Dl.O(d1) = 60182302,48785979,38864197,30278818,22881337,255119957,7738652,4899778,4899777,7593245,4860492,4860493,7681609,11546066,16563873,16416857,11432640,7600912,4808433,2897955,2897956,4808435,7600920,7732876,7329558,4630193,4630192,2789390,2789385,4630242,6921092,4870891,2935205,2935206,4870897,7695910,4870482,2934951,1702147,1702148,2934958,4870501,4797127,4797126,4796919,4796916,7583933,11412332,7603690,7603689,11435743,13379917,9145461,9145462,13379920,11559446,11559447,16578919,13379140,9144695,9144693,255257367,16664590,11631198,7748569,254801513,16415859,11446248,11446249,16431103,16397603,16397602,11414687,11414686,16398195,16426322,16426323,11451442,11451443,16436275,17417679,254775386,14993167,17309839,17309840,23625386,24582218,18138763,12862535,8747422,5695164,5695167,8747428,12862550,18138813,24582286,32168056,36457019,27998627,20834364,18324176,13007415,8855629,5771781,3595428,2144059,1238527,1238529,2144069,3595447,5771815,8855691,13007507,18324293,20024536,254427748,4056140,254468193,254969395,14342403,20024539,26908140,34988897,44367008,44367009,49724836,61203693,59672785,48285651,48285652,59672787,72408092,86004489,99963457,113986633,99963455,99963454,113986632,127864582,261733283,165672409,176340516,185784768,194022467,201081479,194867559,186760494,177451822,166911997,155225918,142588036,129216453,115287766,101209151,87208207,73586041,60836454,257035965,30896255,23463023,17183959,12082641,12082642,17183961,23463026,30896260,28683006,28683008,24937380,18425129,13087556,8918565,5820199,5820198,8918563,13087554,255540033,12082657,8125075,5205390,5205389,8125069,12082644,17183962,23463027,30896261,39503702,49434703,60836459,73586046,87208212,74365961,61589618,50109652,40089186 Dl.O(d2) = 10388180,6846308,4295863,2568305,2568306,2571263,4300640,6852919,10396196,255373115,20985622,28165759,24519911,18088662,12823906,8718702,5675121,5675123,6537000,5675002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9459140, s2 = 14033269, dlinesl.size( ) = 2 s1 = 9459140, s2 = 14033269, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9459140, Dl.E( ) = 14, 1.22e-05 seconds used appending s1 = 390278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7884493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 264942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6457081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 254984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9075729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9075729, s2 = 14163352, int(edited[s2]) = 0 s1 = 9075729, s2 = 14163352, d1 = 11, d2 = 13 Dl.O(d1) = 4506385,5738032,3573004,2129737,2129739,3573007,5738042,8808500,12946487,18249398,21399518,15413230,10654235,9709840,8817638,5744458,3576935,3576933,5744454,8817629,12957658,14538831,10003050,10003049,14538824,10003044,10003045,14538737,14538748,14538747,14538815,254695647,4117678,2462845,1423577,254216105,4117675,6573562,10003034,254695645,254318423,1423575,809827,458955,258845,143532,143533,258846,458952,809823,254216101 Dl.O(d2) = 6573522,6573521,10002977,255339941,27187600,35307303,36693799,36693798,46580073,48364355,48364354,59747401,256177752,81496106,68012557,55737002,44829320,35403748,27277612,27277613,257334461,68134820,81624668,271184827,91303319,77385057,64234742,52379323,52379322,64234741,64234747,64234738,52379328,42035784,42035783,52379327,64234749,64234737,52379319,52379315,255621622,51341381,41156409,32341634,24725895,18253128,12950076,12950078,18253133,18377374,13051758,13051757,18377372,24874986,32517436,41156411,41156410,37911067,29341985,22010067,15908502,15908501,22010064,29341981,25684401,19060947,19060948,23410040,27218010,35341960,44768008,257383756,57716417,255782096,28045067,28045068,36508707,32565955,24913609,18407892,18407891,24913607,32565954,41426143,51668270,58309089,58309088,51285651,51285652,62961124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9075729, s2 = 14163352, dlinesl.size( ) = 8 s1 = 267381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162630, s2 = 14671774, int(edited[s2]) = 0 s1 = 14162630, s2 = 14671774, d1 = 5, d2 = 7 Dl.O(d1) = 42665175,42665176,33635820,25832916,25832918,33635828,41881313,33635696,25832850,25832849,33635691,42665200,33635810,25832910,25832909,33635807,34269268,33635751,25832875,25832876,33635754,42665291,53117285,65104013,65103989,53117264,42665272,33635738,33635737,268633996,52053586,63872517,65104106,53117382,42665358,42665359,48049902,256933752,42665430,33635861,33635860,42665428,42665161,42665160,53117150,65103873,67549276,65104030,53117309,42665301,42665300,53117304,65104024,67549221,67549220,72254243,85845715,95077875,81018926,67549191,55205357,55205356,67549187,78550475,78550464,67549215,55205387,53270730,42818224,33785472,25974860,19307538,19307537,25974857,33785458,42818206,53270708,65260334,65260340,59441674,59441673,48133093,38223093,38223094,44354804,34977191,26897919,20016045,14335481,14335480,9847953,9847952,14335483,20016055,26897932,34977207,44354832,55205405,48133109,38223103,29657067,29657066,38223101,48133105,59520316,48133098,48133099,59520319,67549234,55205410,52709609,51767621,41496170,41496171,33785448,33785449,42818195,53270690,59621983,59621982,72356677,71905622,269004490,71905658,255585450,59623899,48236960,48236959,59623898,64049396,52210716,52210717,58654145,47262407,47262406,41844372,41844373,48133089,38223087,29657058,22305213,22305214,29657061,38223092,41496256,51767704,59024707,47621302,47621303,59024709,59520304,48236958,48236957,47768790,47768791,47768873,37846176,256912995,53117648,53117649,257092256,41496199,41496198,42665638,42665637,42665629,33636023,33636016,33636015,42665617,41851463,32922308,32922307,41851462,52175476,64008425,53117638,42665623,42665622,53117637,59167450,60300618,48905483,38983880,38983881,48905485,53117633,65104348,61917600,52183467,41858124,41858126,52183469,50912698,40795511,40795512,49434261,39503105,30895656,30895660,30896165,39503099,38226858,30895849,23462683,23462685,30895854,39503321,49434232,256603504,30895616,32721840,32721841,41628157,41628154,39503577,30896122,23462901,17183876,12082594,8125040,5205370,5205369,8125034,12082589,17183869,23462893,30896108,39503075,30895631,30895632,26432192,23462962,17183910,12082612,12082613,17183916,23462920,255713557,14031115,9646429,9646428,255152941,9715089,9715091,14120845,14120844,19694184,19694117,19694118,26432156,19694359,255720523,34310206,26432251,22302770,16157108,11225429,11225428,16157105,14031126,9646434,9646433,14031122,14120961,9715055,6391239,4010960,4010961,6391244,9715064,11225416,7448331,4705994,2834955,2834956,4705997,7448336,11225423,16157095,22302756,29654415,29654331,22302669,16157007,11225367,11225366,11225442,16156973,11225347,10937506,10937507,7448326,4705992,2834953,1644647,935160,527004,254086325,163318,254100067,935166,1644663,2834976,4706038,4705478,2834640,1644458,935046,935047,1644461,2834646,4705488,7447527,11223579,16154704,14484658,254586612,27086250,29865464,22504426,22504427,23856484,17513186,12349626,8343721,5385405,3311621,1948237,267799763,8343713,11567084,11567085,16587189,16591668,11571219,11571220,15728979,11568942,11568943,10404920,10404921,15085283,11566008,11566007,14375977,16591611,11571155,7702005,7702004,11571153,10812223,10812224,15625970,16617001,16587705,11567603,11567602,16587700,20055296,16589681,16589680,21776540,22812714,16594680,11573635,11573634,16594679,17451971,14386659,254972003,9878373,268173749,14365585,9872281,6485470,4063913,2432059,2432057,4063909,6485464,254971371,9898003,255114703,11571152,9887675,9887674,14369969,12938649,9889496,9889495,14383871,20055354,14369706,14369707,254637980,9875577,9875576,6495760,4070324,2435619,1408534,1408533,2435616,2439861,254315665,4065387,2432805,1407122,1407121,1408184,801191,454005,454006,801192,1408190,2435045,4069387,6494348,8301590,5355639,3291693,3291694,5355642,8301592,10836526,7163296,7163298,10836530,10836585,15655771,21696171,15656187,10837027,9442881,9442880,10846331,7170316,4747834,2861280,1660599,1660600,2861281,4513621,4513622,4747310,4747312,4683727,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682815,4512147,2711318,1637046,1637043,2821788,4683412,7411924,11171803,268222915,15652197,12513943,12513945,12171576,8203767,8203769,5292626,5292627,8217514,5287403,5287404,8217518,10833468,9190495,9190496,13441033,9190484,6016109,6016108,9190480,267977405,7560091,11379329,255476261,29881119,23544744,22056335,15952675,11071002,7340925,254349033,1620129,921386,519489,519491,921391,1620137,2793048,4636883,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,254234237,4631783,7331991,255070703,11070398,7340509,4636590,2792874,1620043,1620042,2792873,4636588,4635597,4635598,7338752,9776024,9776025,7340329,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920903,1619108,2790944,4632940,7334100,11060936,11075553,11075550,11082484,11082483,15967009,22041728,22066256,15961529,13494308,13494306,11077381,11062535,11062534,11850645,11850647,15935859,15939966,15939968,11081554,11081555,11072899,7342151,7342150,11067125,15947838,22051133,29381354,255758610,37965535,255340938,29379890,22049527,255071623,4634723,7337261,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489166,18921488,22050397,255071681,11066472,15947152,22050400,29373104,29373103,37939298,47858757,39702918,31025977,23545023,17237276,17237275,23545021,22070730,22070729,21793176,15734461,15734462,18886291,18886292,25490116,25540696,18928191,13493806,13493805,18928189,25540693,33302825,42283657,52670326,54678195,43935715,43935716,47880106,37962275,29397901,29397900,37456303,28916961,21642432,15610475,15610474,21642429,21975080,21975081,22233693,16098835,13781870,9449140,6194828,254109276,5893598,5889143,3677410,3677413,2201483,2201486,2992383,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,5973043,5973042,6764559,4239378,2534757,2534756,4129636 Dl.O(d2) = 1427818,2470276,4129622,6591713,254697245,14575932,20310814,27241555,33967987,32352417,32352418,41167508,43025846,43025847,270049285,92979466,103894559,118036908,103894566,89793236,78867415,65531245,65531246,78867417,92979463,81279856,67812650,55471045,44621710,35239044,27142834,27142835,35239046,44621713,47034715,58407182,47034713,47034714,58407183,58407184,256428714,28631742,21392841,15407873,10650010,255033457,21392830,21392828,21392829,28570032,268206350,15407859,21392822,28631717,37145667,47034665,58407139,58407142,58407143,71124973,71124965,58407135,47034663,47034664,58407137,71124958,84689240,71124968,71124969,84689262,98613823,112608868,112608861,260523503,126477270,112608865,112608852,98613804,98613803,112608849,126477264,126477276,126477275,139848432,152561786,164420391,175204477,184774888,184774880,184774881,184774883,175204474,175204475,184774885,263856359,206360858,200303616,193131798,184774891,184774892,193131799,200303624,200303619,193131795,193131796,200303620,200525020,193377517,185048347,185048346,193377515,200525018,206559789,206559790,206559791,206559782,206559783,206559781,206559780,200525015,200525009,193377507,185048338,175509792,261677060,152928591,164758574,175509797,273336860,164758585,164758584,164758578,152928595,140238742,126890929,126890930,140238744,152928598,164758579,152928600,140238746,126890931,126890915,113038089,113038088,126890913,129663058,115766139,101720895,101720894,101720893,87747919,74143456,61362855,49881310,39858330,39858331,49881312,61362859,49881315,47439886,37531742,28986964,21703527,21703528,28986967,37531748,47439898,58826543,71554449,58826562,47439912,47439911,58826559,71554437,71554466,71554444,71554445,71554468,58826563,58826564,71554462,58826555,47439907,47439908,58826556,71554457,71554459,71554458,85125095,99049950,99049939,99049938,101112842,115190989,101112839,87114763,73496108,60747217,49344092,49344093,255304226,87114764,101112840,115190993,129122996,258476388,155144628,155144629,142500319,142500320,152295282,139565226,139565227,139565236,139565237,126189952,126189951,115190988,101112837,87114761,87114760,101112835,115190985,129122992,257264252,115190986,112329452,98346355,98346354,112329450,126189950,129122990,126189940,112329445,98346351,258375830,70879546,84436809,98346357,112329455,126189958,139565235,126189955,126189954,139565240,152295290,164178860,174995109,184596644,192940009,184596642,184596643,261631326,175204470,174995105,259737196,152295284,152429403,152561778,139848427,139848428,152429405,152429406,164303489,164303490,260747006,143464684,152429401,164303484,152429412,152429413,261518278,152429396,139704191,260513740,112463443,126329575,139704195,152429414,152429397,139704182,126329569,112463440,112463441,126329571,139704183,130133714,116222957,102161709,102161705,88170876,74555936,61772380,61772379,74555934,88170874,88170880,88170881,258910648,258041820,50292601,50292600,61772383,61772388,61772387,61772389,50292604,50292605,61772382,50292599,256038010,59390046,50283924,40263003,31575915,31575916,40263002,31575914,24070188,255134456,37032353,31575917,24070190,17714045,17714044,16057207,16057206,22184081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162630, s2 = 14671774, dlinesl.size( ) = 2 s1 = 14162630, s2 = 14671774, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162630, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 9364734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 268096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2503154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 71174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7823654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7823654, s2 = 11511536, int(edited[s2]) = 0 s1 = 7823654, s2 = 11511536, d1 = 22, d2 = 78 Dl.O(d1) = 35733294,27506271,27506272,35715970,27495455,20627383,14792733,10174302,10133073,10063961,6611504,6611501 Dl.O(d2) = 273304880,265128759 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14486741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1032705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7920982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2274459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8664244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8664244, s2 = 7825031, int(edited[s2]) = 0 s1 = 8664244, s2 = 7825031, d1 = 16, d2 = 12 Dl.O(d1) = 260064879,261239165,154793790,166500016,177080980,262296571,142159801,128805215,114908060,100857446 Dl.O(d2) = 254325643,6837132,10376111,15049496,20958504,19060782,19060783,23940196,23940197,31431362,37263213,47169119,39181162,30583474,30583475,39181163 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6479571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6479571, s2 = 14114418, int(edited[s2]) = 0 s1 = 6479571, s2 = 14114418, d1 = 28, d2 = 89 Dl.O(d1) = 255009037 Dl.O(d2) = 95229936,260404875,261559201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6479571, s2 = 14114418, dlinesl.size( ) = 2 s1 = 6479571, s2 = 14114418, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6479571, Dl.E( ) = 108, 4.7e-05 seconds used appending s1 = 7962241, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10341355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7922406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7825213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 275368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 275368, s2 = 7810710, int(edited[s2]) = 0 s1 = 275368, s2 = 7810710, d1 = 13, d2 = 11 Dl.O(d1) = 6887632,4324059,254221833,840921,474167,254118575,254221225,254490107,255381297,28336901,254527052,23112346,23112348,29581869,22234285,16099419,11182397,7419559,7419558,11182393,16099410,22234267,29581848,30438234,30438233,39027752,48950202,47329984,47329985,48060564,38147770,38147771,38147699,29581786,22234222,22234221,29581783,38147694,38147851,38147617,38147618,37421776,37421777,47330010,37421780,37421779,30024752,22651911,22651912,29530576,23329691,23329692,30751933,23329670,23329669,29505469,22165577,16043131,16043130,22165573,23329710,22165350,22165351,29505149,29626393,30751974,39352338,38596939,38596940,47980674,48511317,48511318,38596835,30024541,22651753,22651754,16460312,11469046,7628806,7628809,11469052,16460322,22651815,30024626,38596945,48511463,38597066,38597067,48511584,59904808,59904807,59904773,48511404,38596881,30024572,22651778,22651779,30024576,255896072,48511628,59904927,48511610,38597097,30024727,30024728,38597099,48060601,38597088,38597087,48511599,59394402,59394397,48005900,48005901,38597206,30024809,22651953,22651952,22651941,16460397,16460398,22651945,30024802,30751965,30751966,39352324,48511349,48511347,59904753,59904982,59905011,48511709,38597216,30024816,30024622,30024621,38596935,38597116,38597115,38148104,38148106,255896038,48511409,38596886,255729234,54658780,59451888,59451887,59904832,59904833,72645642,72645700,59904948,48511636,255896080,30024777,38597145,48060430,38148084,29582156,22234546,16099763,16099764,22234548,29582163,38148093,43916178,54658586,47885631,43916276,43916277,54658698,66915275,59904763,59904761,72645608,72645634,66915138,66915140,66916535,66915303,59451705,54658593,43916143,34643051,26651937,255315874,14212157,19838438,26651942,34643063,34692479,34692478,34643197,26652082,26652084,26652104,26652120,26652119,34643245,43916324,34643273,34643262,26652134,26652133,26652164,19838576,19838575,26652160,24280878,24280877,26653632,19840131,14213500,9771109,9771107,14213496,19840124,26653603,26653598,34644645,43916073,34642954,34642953,43916072,39154961,30557396,23139961,23139962,19838471,19838465,19838464,26649284,19835800,14210075,9768809,9768811,14210077,19835806,26649294,254466458,26652195,26653606,34643013,34643014,256202010,19838519,14212198,14212197,19838517,26652064,34643170,255315938,43916407,43916408,54658523,54658502,43916044,34642960,30762017,23339120,23339119,26651873,34642975,34642916,26651990,26651991,26649239,19835770,14210056,9768799,6422797,6422798 Dl.O(d2) = 254152136,22456177,22456175,22342520,22342521,29530202,29530204,38093999,256305171,255386531,10507503,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193248,11256558,7472699,4722605,2845387,2845380,2845365,1650785,1650783,2845359,2845417,2845423,4722672,7472822,11256771,15583601,13142881,13142879,16193336,11256597,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196043,28418285,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695675,38261593,38261714,29695795,22342210,16193520,16193519,16193195,11256518,7472677,4722587,4722586,7472618,7472619,11256461,11256751,11256750,16193594,22342326,22342350,28888736,25031794,25031793,32718258,38261346,38261298,29695445,22341969,22341970,29695477,38261342,48170733,38261099,38261100,38261717,48171301,59557317,48170586,48170585,48170598,38261573,29695658,22342101,22342100,23202509,16932719,11850915,7920668,254504292,16932714,23202504,30624873,39222616,48170589,38260950,38260951,38260912,38260913,48170554,59557287,51927005,51926997,41624213,38261178,29695321,22341837,22341836,29695319,38261176,38261328,38261327,48170955,38261722,38261723,48171307,59557534,48170889,38261258,29695411,29695410,38261257,48170883,59557525,72291746,85883977,72291710,256840938,59192605,47792408,47792409,44613644,44613646,55462257,67803725,67803685,55462164,55462163,48551919,48551920,59944106,59192567,59192568,66956047,54697184,54697183,59671810,48284603,48284604,54697215,44613657,35232280,27137516,20230653,14517154,14517153,255755033,35232265,44613633,49400178,39471678,30868244,30868247,39471682,47622401,59025695,60720852,60720853,60720870,49318639,39390640,38323983,38323985,38323970,29754444,29754446,38323974,41723721,41723809,32803648,32803647,41723805,47403463,267827204,59025848,59025472,47622069,37698809,31514667,29138682,21831299,15762901,10916643,10916644,15762904,20225566,20225567,255429326,27130954,35224763,44605576,44605578,52070001,52070000,58125778,47403425,37495671,28953088,28953087,30788177,30788201,30788202,29140106,29140108,37700917,40517532,40517533,37699430,32803599,32803598,32803552,25101682,25101683,30788167,29138624,21831267,21831268,29138642,37495724,37495723,37699614,38153279,29587086,28878429,24013821,17666060,12492296,8461051,7219720,4548823,4548824,7219727,10916661,15762922,21831329,29138720,31820848,36878811,28382499,28382498,29587064,29587081,29587082,37495685,28953101,21672813,21672811,28953095,21672826,21672827,21832547,21832548,28878512,24304489,24304491,24304499,31820859,32803562,25101672,18553221,18553222,25101675,21831260,15762867,15762864,21831251,29097826,29097823,29138544,28382646,21165032,21165030,21830936,15762595,15762596,21830939,24013736,17666021,17666020,22239193,16103663,16103662,22239191,28417799,29097853,21800413,15740426,11297417,11297419,15635428,21672868,254512438,48263483,58125932,46757611,37495734,28953145,21672853,21672850,28953157,23200811,16931447,11850057,11850058,16931454,23200825,24013757,31514603,29139881,21832351,21832348,29139876,32470080,29139779,21832241,21832242,27240455,20309777,20309775,27240448,33204684,25457494,25457495,33204689,42164861,37700559,37700561,37700947,37699462,268215818,50223306,47624845,37701868,29140986,29140985,37701864,47623457,47623649,47623650,58799405,47624858,37701883,37700945,37700946,255429468,49146355,60545758,61705201,50223317,40200984,40200983,50223312,55693890,55693891,58125958,59025873,47622687,37699519,37699521,47622689,256358284,47622074,37698819,29138064,29138065,26582164,26582165,34568700,29139368,29139367,37646561,37646560,37700397,47623463,43840526,37700588,37700589,37699599,29138873,29138872,37699597,47622751,58790951,58790950,55693939,55693938,55693935,55693934,68091675,55695393,55695392,60545754,54585218,43840448,43840447,54585216,54585249,43840488,34568758,26582203,19778861,19778863,26582209,34568769,37701879,47624854,55693994,44786806,35362703,35362701,44786802,44786605,44786606,47623666,37700679,29139919,21832384,21832382,29139914,35362697,43840483,43840484,54585244,55693756,44786479,37701875,37701874,47624849,59027566,54585546,54585545,255864352,54585247,54585246,43840494,34568772,32470234,32470233,41315772,34568742,26582193,26582192,20308978,14574574,14574543,14574544,268343319,35362241,44786361,55693695,44786811,35362706,27239584,20309106,20309108,27239430,35362474,44786609,256238007,27239590,35362710,44786815,55693997,55693853,44786618,43840369,43839957,41315757,41315758,43840910,34569106,26582423,26582422,34569102,35362641,35362642,43839946,44786761,43840505,34568777,34568776,43840470,34568750,26582198,19778849,14167117,14167118,19778855,19778830,14167105,14167101,14167103,9739730,9739732,6591140,4129285,2470101,2470100,4129280,6591131,10028980,14574634,20309066,27239454,20309039,20309040,27239265,35362247,44786371,54585179,54584877,54584878,43840851,34569056,26582404,26582403,34569054,34568585,34568583,43840282,43840034,35362648,27239551,20309092,20309093,27239556,35362657,34568803,34568802,43840020,34568373,26581998,26581999,34568375,34568321,26581976,26581977,34568323,43839955,34569005,26582516,19779048,19779049,14574555,10028938,6591107,6591108,10028941,14574562,20308955,27239300,20309082,20309081,27239527,26582018,19778760,19778761,26582022,27239329,27239330,34568580,43840273,34568868,26582279,26582278,34568864,43840610,35362431,35362430,44786553,54584871,43839967,34568332,26581981,26581982,34568337,43839976,34568806,34568369,34568343,26581986,26581987,34568349,43839991,43840216,34568526,34568305,26581966,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304493,28526415,35362626,27239534,27239533,34568600,34568599,26582285,19778909,19778911,26582294,34568900,43840666,54585393,54585152,43840346,43840345,44438629,35064522,35064523,34568446,34568447,43840119,54584992,54585287,44786401,35362322,35362323,44786453,43840129,34568455,34568453,27126829,27126827,35220373,34568638,34568637,43840351,54585159,44786409,35362294,34568955,34568954,34568537,26582080,26582078,34568441,34568931,26582502,26582503,34569221,43840633,43840188,34568884,34568885,35219880,35219881,44600732,44600656,44600657,54585624,54585145,44601281,35220300,27126780,27126781,35220303,44601285,54585006,43840143,34568463,34568462,43840138,35220495,35220494,44601409,44600798,44600797,55450035,44601319,35220335,35220334,43840681,44601115,35220165,35220162,35220268,35220266,44601236,55449974,55449973,59736383,72471731,59736412,48352701,38450729,38450728,48352693,43840718,34568951,29893840,22538774,16364138,11387945,11387944,16364135,22538765,29893817,38450709,38450692,38450691,48352641,59736370,67792734,80274551,66844715,66844714,55450199,55450192,55450193,59736329,59736328,48352606,39383791,30781847,30781848,39383794,44601568,48352573,38450622,38450620,48352568,48390542,44601563,35220582,30781838,256481957,48728047,38807415,30224363,30224362,38807431,37351687,37351688,38487304,29926581,22566463,22566462,29926579,38487298,48390461,41315695,32470173,32470172,41315689,47759068,48390364,38487202,38487203,35220551,35220549,37351607,47261054,37351731,28813041,21545049,15528043,10739414,7095675,7095677,10739424,15528061,21545082,28813112,25858208,25858209,29926517,29926518,38487225,37836687,29270540,29270539,37836683,37351754,28813061,21545057,21545056,28813055,24744904,24744903,32361342,41177212,38487290,38487291,48390456,59773541,48390479,47047206,37156381,37156383,47047215,47261121,47261122,58652934,71190793,59773565,55450519,55450518,55450553,58652868,58652955,47261144,37351680,28813001,21545028,15528033,10739409,10739407,15528026,21545016,28812970,35174424,35174422,38487216,29926515,29926516,38487222,48390383,53145692,47759114,47759115,47261215,37351745,37351744,28813101,28813103,24744895,24744894,32361322,41177176,51363359,59773554,54585359,51363387,51363389,63044468,55398682,55398683,58652852,71388086,60768166,49365588,39436574,39436573,49365584,60768126,59156492,59156490,66863029,58652951,47261137,47091065,37195298,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,35174447,35174448,44552093,55398696,58468915,58468916,59773501,59773500,58653015,47261264,37351793,37351794,41177183,47091190,37195412,37195411,47091223,58469096,58652862,55398677,55398676,57840524,57840525,58468952,71190764,58468902,47091013,37195261,37195259,47091005,58468893,47091093,47091092,57840548,57840546,49365931,49365933,49366142,47091056,37351648,37195277,37195276,44552124,35174470,27086082,20187822,20187823,27086088,28673077,37195348,47091134,58469018,58468919,58468920,47091267,37195523,28673202,28673204,28673156,28673141,28673139,37195390,28673112,28673113,37195397,47091199,39436159,30831897,23403570,23403571,30831901,268975432,15433453,21425459,28673082,37195361,47091151,58469035,268664350,47091274,37195465,28673151,28673150,25150077,25150078,32856894,41777463,32856980,25150141,25150140,20965920,15056237,10381935,6841555,4292824,4292825,6841559,255009189,20965956,28144224,36618079,38370234,41777567,47091037,37195380,28673097,21425499,15433472,15433441,15433442,21425436,21984473,21984474,29312444,32856963,29797435,29797343,22430898,16263574,254778927,7507455,11307617,11307642,16263655,22431039,29797580,38370303,32856889,32856888,29797467,29797466,29797484,22430980,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888578,21196343,21196342,21984468,21984467,21984602,15888575,11014170,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 275368, s2 = 7810710, dlinesl.size( ) = 2 s1 = 275368, s2 = 7810710, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 275368, Dl.E( ) = 14, 1.41e-05 seconds used appending s1 = 7859765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6458776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6458776, s2 = 2490990, int(edited[s2]) = 0 s1 = 6458776, s2 = 2490990, d1 = 11, d2 = 8 Dl.O(d1) = 254720427,6899135,10466429,15175833,21124154,19179123,13695938,13695939,17073293,11985213,11985127,8035082,267989411,5854557,254638047,13157538,18518476,13932511,13932512,19467696,26168483,23339294,17073132,17073131,11985250,11985252,11599454,11599452,16629048,22854441,17073351,17065031,17065033,23331678,30754168,24326061,24326062,27081869,20183982,20183983,25056626,18518611,13157610,8968274,5854573,3654568,3654567,5854569,8968261,13157593,18518510,18518509,25056471,32747874,28960895,28960890,28960888,35209114,35209115,29149440,29149441,25056425,20183988,20183989,25056398,18518457,13157525,13157527,268288447,32747785,32747787,32747786,33549155,42565814,41658631,41658633,35085995,35085994,37503979,37701936,37701934,35085964,29139584,21832053,21832051,29139581,37700375,44547929,37503932,28960838,28960837,32748093,25056633,25056631,32748088,41658709,51966311,47411392,47411391,55306280,55306264,55306263,55306271,58798372,47411472,37503941,37503942,47411475,58798377,63108095,51411636,41215476,41215475,37503963,28960858,21678940,21678941,28960863,37503971,47411398,58798326,59027651,47624932,47624931,55306294,64980458,59026417,47623436,47623435,59026414,71527411,270818799,64761991,64761990,67645189 Dl.O(d2) = 46822447,36944567,36944569,46822452,58188604,65531761,76456829,70500912,57800056,49365782,49365781,51815118,41535945,41535946,51815123,63602561,63676211,57859738,46503462,36636211,36636210,46503457,57859731,70561422,72487860,59753657,48371235,48371234,59753655,60692491,60692492,70935596,59027597,59027595,59753566,48371140,48371141,51878135,41585053,32687258,32687257,36971690,28473505,28473503,36971684,46850489,46850477,36971675,28473495,28473494,36971670,46850468,51670574,41428916,32568807,32568808,41428921,51670586,59753632,59753633,51815109,51815108,63602538,70561458,57859762,46503485,36636226,36636223,42315646,48371149,48371151,48371137,38469544,38469543,48371135,59753557,258213310,48371194,38469603,38469587,29911741,29911743,38124681,33520708,33520707,42520946,42521209,42521001,33520743,33520741,33520822,25740988,25740986,33520817,38469505,47826451,47826452,52932000,60589615,60589616,60589620,49189310,49189309,42521047,42521046,38469529,29911713,29911715,38469533,42521077,46503443,36636203,33335053,25575350,25575349,33335048,42315660,52702966,48371125,42520876,33520728,33520730,39899402,36636190,28161404,28161403,22554687,16377368,16377367,22554681,29911751,28134193,25741050,19107553,19107555,25741056,25740933,25740932,25740921,19107521,19107523,25740970,33520790,33520802,42521086,42521102,49189325,39263303,30667609,30667608,39263297,42521055,42521052,40105651,38469520,33520683,33520684,39263270,36636198,28161413,28161414,25575343,25575342,25740898,33520674,42520906,52931868,52931843,42520900,33520670,31794056,31794055,36636183,36636184,38469580,29911737,29911736,38469576,33520945,25741074,19107568,13642591,13642590,19107493,13642558,13642557,19107485,13642576,9342136,9342135,13642572,19107517,25740983,33520813,39263237,30667612,23252079,23252080,23252100,23252101,23934991,23934990,31425803,39263279,30667597,28161429,20981758,15069675,15069676,20981762,25740908,25740907,33520696,42520929,42521139,33520846,25741007,25741008,33520855,42520990,42520991,52931931,57859779,50125876,40105689,40105691,49190350,49189352,42521241,33520921,33520920,42521236,40257124,33520753,33520752,25741026,19107538,19107536,25741022,33520881,30667568,23252064,23252065,23252093,16989126,11903808,11903810,16989133,12417443,12417444,17591948,23935018,31425843,31425790,23934983,23934982,31425785,31425794,31425795,33520688,28006251,28006249,36464885,33520869,25741016,25741015,33520867,36464977,36464978,46317808,46317582,46317584,40105662,40105661,50125842,57661834,46317577,36464774,36464773,39263283,31569634,31569633,33520642,33520641,33520883,42521191,52932060,61605916,50125851,257006376,60455203,49189293,46317867,46317866,57661993,269842359,60337102,60337101,49189332,49189331,57661796,46317535,40105673,40105672,50125857,61605913,50278479,50278481,46317781,46317779,57661974,49189343,49189342,49189279,42332891,33351353,28006202,28006203,36464808,36464988,36464953,28006283,20841801,20841802,28006287,28006313,20841814,14942227,10276911,6753815,4231969,4231970,6753819,10276920,14942240,20841840,28006360,36465069,46317899,46317846,36465061,36465062,46317896,57661968,57661969,61605924,57661990,57661991,57661792,46317530,46317529,57661788,49189371,49189369,57661823,46317711,36464861,28006236,28006235,36464857,46317707,38389136,29816276,29816274,38389134,48299653,57662015,46317775,36464937,28006275,20841798,20841797,28006273,28006300,20841807,14942224,14942217,14942218,20841779,28006243,36464875,46317551,46317552,57661818,46317836,36465007,31425822,31425823,40105680,46317720,46317719,57661982,57662051,258620593,57661916,46317677,36464836,28006221,28006220,36464833,46317670,57661925,70351844,57661920,57661923,49236143,39309419,39309418,49236137,50278248,40257109,40257110,50278253,41429148,41429150,41429187,41429192,51670784,51670821,41429226,41429173,32569011,32569010,41429170,51670775,46317603,36464782,36464781,46317598,47505242,47505240,51670755,51670843,43311572,34213477,34213476,40257274,50278401,50278425,61758322,61758233,57662097,46317877,46317878,50278370,40257329,40257327,50278447,48779859,46317664,36464826,36464827,46317668,40257200,40257201,32569001,268725077,41429207,32569028,24916199,18409716,18409715,24916197,32569025,41429198,41429232,32569047,32569048,41429159,41429158,41962597,50278437,40257312,31569807,31569806,40257308,37601284,37601283,41429253,40257258,40257259,40257293,31569794,24064193,24064194,31569797,40257149,40257148,50278298,51600479,46835344,36957102,31569827,24064216,24064218,31569835,38989348,40257424,40257423,41429257,32569071,24916229,24916230,24064142,24064141,31569721,40257222,41429181,32569016,32569017,31569709,31569708,32569059,32569054,24916213,24916214,31569785,33019829,25293908,25293907,33019824,31569931,24064295,24064294,21758618,15703622,15703623,21758620,29053087,256895395,40257352,40257351,50278458,61758294,50278389,40257254,40257253,50278386,61758236,50278554,41422545,41422546,38989345,31569694,24064127,24064129,24064339,17708888,12526753,12526752,17708768,12526684,8488372,5489379,5489378,8488369,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47738,41658302,51966078,63781550,76891668,77236285,64091994,52244550,41907317,32967964,32967963,41907313,257768489,65102741,64789184,52870558,52870560,49312957,39385292,39385293,49312959,60714921,60714961,257027185,30783323,23358508,17089971,12002314,12002313,17089968,17910476,17910477,24292335,31807105,40502329,50537489,49312968,39385301,39385302,49312971,60714933,49394748,49394749,60795426,73542581,270022455,53115970,42663915,33634449,25831656,25831657,33634452,28458107,25831628,25831627,33634429,38068411,47980596,53115957,42663905,33634442,33634443,42663907,53115961,65102734,78386361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6458776, s2 = 2490990, dlinesl.size( ) = 2 s1 = 6458776, s2 = 2490990, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6458776, Dl.E( ) = 12, 1.29e-05 seconds used appending s1 = 181527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 181527, s2 = 275936, int(edited[s2]) = 0 s1 = 181527, s2 = 275936, d1 = 1, d2 = 1 Dl.O(d1) = 4331907,4331906,6899847,10467229,15176928,21125560,21125561,21125562,28337787 Dl.O(d2) = 4331907,4331906,6899847,10467229,15176928,21125560,21125561,21125562,28337787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 181527, s2 = 275936, dlinesl.size( ) = 2 s1 = 181527, s2 = 275936, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 181527, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9113222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13403165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9077664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9349344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 278345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 278552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655562, s2 = 7839891, int(edited[s2]) = 0 s1 = 11655562, s2 = 7839891, d1 = 2, d2 = 5 Dl.O(d1) = 254752870 Dl.O(d2) = 4386990,6982081,10584065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655562, s2 = 7839891, dlinesl.size( ) = 2 s1 = 11655562, s2 = 7839891, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11655562, Dl.E( ) = 16, 1.5e-05 seconds used appending s1 = 7887460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7839934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9067716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9067716, s2 = 9081363, int(edited[s2]) = 0 s1 = 9067716, s2 = 9081363, d1 = 4, d2 = 3 Dl.O(d1) = 268611840,37090847,28585145,28585146,28585148,21354752,15377924 Dl.O(d2) = 21354754,21354753,28585144,21354749,15377922,10626592,7013879,4409841,2644059,1527845,866571,488881,274616,152294,83563,83559,152354,152357,152354,152357,152354,152357,152354,152357,152354,152363,152359,152403,152399,275869,491535,871584,1535707,2654996,4424607,254328568,15409346,21394620,28633817,24685007,18218357,18125025,18125024,24564629,22871905,16643834,16643833,22871896,254720264,48772781,50537848,40502702,40502701,49281583,39354754,39354753,49281581,60682412,256837012,50537752,59119087,49320991,49320992,60722989,254645878,254645876,31059124,32597618,32597617,41474626,51743378,63521155,73471768,60723622,49321412,39393306,39393305,49321411,60723621,70812521,60723024,49320729,39392622,30790273,255254394,17095429,23364457,30790204,255980627,23364384,17095370,17095371,23364386,30790191,30790203,39392790,39392727,39392728,30790628,30790629,255200194,28439731,30790084,39392560,30790011,30790012,23364302,17095304,12008616,8065809,8065810,12008626,8065842,5159560,5159559,8065836,12008688,17095428,17095362,17095363,23364370,30790172,30790560,23364646,23364600,17095518,17095517,12008779,12008777,12008661,12008659,17095378,23364398,30790202,30790518,23364627,23364628,30789937,23364214,17095236,17095237,17095348,23364354,23364713,17095591,17095592,17095596,17095595,23364724,30790663,39298236,30700649,23284846,23284847,17095333,12008642,8065818,5159552,3142909,1838198,1049012,1049013,1838204,3142920,5159575,8065874,12008747,17095535,23364623,30790506,39392969,30790389,23364538,17095475,17095474,23364534,30725340,30790351,23364507,17095457,12008707,255532927,12296182,8304766,5358348,3293801,1937185,1937186,3293806,5358365,8304803,12296244,17058231,17442306,17442308,22605055,22605058,17058155,14564607,14564604,18391702,18391701,20296050,17735413,17735410,24093255,24891975,18391630,18391629,24891970,32537274,28232320,23771464,17442909,12295691,12295693,17442915,17442967,23771563,23770701,23770548,17443058,17443057,17442368,12295393,12295392,12295407,12295677,17234535,12115613,8146262,8146263,12115615,17234536,18869589,18870891,18871096,13447252,9195597,9195596,9194153,9194154,255262521,25467188,25469400,18870720,13446899,13446900,18869572,18866983,13443811,13443810,18866787,13445963,9194603,9194604,13445964,18869568,255262584,9195354,13445497,9194175,9194176,13445498,18869173,25403812,18814146,13403280,9163521,5997467,5997468,9163523,13403283,18814148,13443800,13443798,18866969,20065549,14381449,14381448,17248800,12130323,12130324,17248757,23558080,18814530,13403621,13403620,13444162,9193323,9193324,13444163,18867353,14381563,9887207,254469837,2435860,2435861,269635596,255741155,35030912,26950418,26950417,35030909,44406010,55253831,67595450,270658237,109374419,123565454,137297350,137297349,261186694,165681043,259391290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9067716, s2 = 9081363, dlinesl.size( ) = 2 s1 = 9067716, s2 = 9081363, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9067716, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 7840245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7840245, s2 = 15217842, int(edited[s2]) = 0 s1 = 7840245, s2 = 15217842, d1 = 29, d2 = 15 Dl.O(d1) = 10652467,7033958,4425312,4425313 Dl.O(d2) = 221709320,224162241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7840245, s2 = 15217842, dlinesl.size( ) = 2 s1 = 7840245, s2 = 15217842, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7840245, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 14162740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162740, s2 = 44559, int(edited[s2]) = 0 s1 = 14162740, s2 = 44559, d1 = 0, d2 = 0 Dl.O(d1) = 47080472,37185209,37185208,256055452,21418434,254881506,10665508,7043847,4432927,4432925,4432924,2661335,1540255,874649,874648 Dl.O(d2) = 47080472,37185209,37185208,256055452,21418434,254881506,10665508,7043847,4432927,4432925,4432924,2661335,1540255,874649,874648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162740, s2 = 44559, dlinesl.size( ) = 2 s1 = 14162740, s2 = 44559, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162740, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14165355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165355, s2 = 14162524, int(edited[s2]) = 1 s1 = 2152996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2152996, s2 = 10345541, int(edited[s2]) = 0 s1 = 2152996, s2 = 10345541, d1 = 5, d2 = 12 Dl.O(d1) = 58546231,47157950,268208288 Dl.O(d2) = 28722245,37253126,46850980,36972127,28473967,28473968,29254501,29254502,256910479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2152996, s2 = 10345541, dlinesl.size( ) = 20 s1 = 6460076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6460076, s2 = 3758013, int(edited[s2]) = 0 s1 = 6460076, s2 = 3758013, d1 = 11, d2 = 8 Dl.O(d1) = 254735495,4449876,2673360,1548618,880412,496763,278499,153621,153622,153630,153627,278515,496804,880500,1548797,2673696,4450519,7068749,10697163,7067093,4449522,2673183,2673181,4449517,7067083,10541787,255024413,10541765,10569970 Dl.O(d2) = 260533600,166873971,273157341,155501061,261819862,130296119,116458739,259490810,61945018,50453627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6460076, s2 = 3758013, dlinesl.size( ) = 2 s1 = 6460076, s2 = 3758013, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6460076, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6460099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16304318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13160245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8016540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7914613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7565136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 287171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8219494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8219494, s2 = 13960717, int(edited[s2]) = 0 s1 = 8219494, s2 = 13960717, d1 = 12, d2 = 10 Dl.O(d1) = 257070897,31369357,31369356,38462259,29905033,22548950,16372640,16372641,255917591,33033470,25306893,18731274,254914871,5961330,5961331,9110924,13334530,18731281,25306905,28742055,26681127,21705514,15663992,10843365,7168224,7168223,10843359,15663982,21705500,28989380,28742254,21484473,21484472,17948736,17948737,24338958,22379543,16222837,14244558,14244556,19880846,256130106,255237290,255398219,28571953,26144963,254663118,9551803,6267480,6267483,8655715,8744348,5692826,3541635,3541634,5692925,8744497,254880922,255600892,18769704,13366129,9134798,5977741,5977740,9134796,254646232,268488455,16724076,254646000,18606148,18047517,12816632,8714196,5672519,3528331,2099848,2099846,3528322,5672502,8714169,254442579,2238526,2238528,3739029,5979307,9137270,13369393,15874308,11003093,7283768,7283769,11003095,15874310,267948736,21452350,21452349,28706944,29294646,21967812,15873963,11002812,11002813,11000359,7281804,4592211,2762851,2762850,255065913,21965510,256321390,33463334,25691099,25691098,33463332,42456352,37076229,28572940,28572941,37076231,46956533,58323642,71039039,84602904,85065598,71865657,59127303,47728891,47728892,59127306,71038656,60264609,48871997,48871995,52860514,48047117,44374839,34996634,26915262,26915260,34996629,44374828,55225567,67568497,74543117,74543116,72379379,59644909,48871886,48871888,60264514,256997374,59256430,71992823,85579340,99525876,98527560,98527424,84602685,269110844,60266375,48873921,48873920,60266374,73001496,85579333,81036852,71038720,71038718,268963442,60434207,60425269,52651957,42266024,42266025,52651960,55409024,44561366,35182989,35182986,44561341,55409013,64779957,77974497,86668754,73063434,60322513,60322515,73063441,71992843,59256444,47860243,37941217,29375465,22044655,15941718,255417718,16094149,11178524,7416982,254352139,2824323,4687127,4698691,7435958,11206784,11178510,11178509,16094131,22227857,254742512,11178538,11320451,11320452,16279492,16279490,11320449,11320450,8084791,8084792,7417011,4687146,4687145,7417009,254506894,9776246,14220295,254228038,254228040,254161034,254161036,10810487,10810486,15624292,15621090,15621091,15624656,10810792,7143642,4498091,2702863,1566228,1566230,2702867,4498101,7143653,10810809,10808098,10808097,10808766,10810212,10810749,7143613,7143612,10806541,7143603,7143604,10808079,10808078,15620992,11777735,11777734,10810702,7143567,7143568,7141682,5643807,5643806,8674615,7141693,4496672,4496670,7141689,10808123,10808120,267744096,4497743,4497744,7143282,10810370,12763918,12763919,12763757,8674600,254338498 Dl.O(d2) = 254742442,267966479,254742272,12763398,18009661,21660976,15624731,15624730,254227890,24421422,24421421,21656909,15760612,15760611,21656895,28934775,21828452,15760608,10915096,10915097,10808671,10808670,15621697,21656903,268074858,18009665,18009664,24421424,24421416,24421414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8219494, s2 = 13960717, dlinesl.size( ) = 14 s1 = 190325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7970423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7970423, s2 = 14581418, int(edited[s2]) = 0 s1 = 7970423, s2 = 14581418, d1 = 32, d2 = 35 Dl.O(d1) = 38811313,38811314,31849009,24329299,21695042,15654771,267966919,4511343,4511342,7162830,10835786,15654733,21694979,28977561,37521380,254506742,28889356,28889355 Dl.O(d2) = 31482393,31482394,23985582,23985583,256532787,40167155,50191349,61675173,74458334,257999700,44072377,34755514,34755513,44072375,54872881,67192434,80667176,94745254,260387835,109025428,261544139,127597026,113728613,99714370,85760403,72166176,59427507,48035157,38121887,29556506,256390149,48035155,38124371,29558836,22213402,22213403,255451721,16031262,15206491,10489079,6916092,4344131,4344130,6916088,10489070,15206477,21162962,28380458,36876929,46755784,58124326,70839094,84396565,98305700,112287948,126147826,139523254,152255007,262637637,184565502,192953093,200147942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7970423, s2 = 14581418, dlinesl.size( ) = 2 s1 = 7970423, s2 = 14581418, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7970423, Dl.E( ) = 36, 1.41e-05 seconds used appending s1 = 7970470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7970470, s2 = 426753, int(edited[s2]) = 0 s1 = 7970470, s2 = 426753, d1 = 31, d2 = 4 Dl.O(d1) = 47432957,37525337,256347444,268212686,7166478,254508346 Dl.O(d2) = 10840446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15099158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 191172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 191172, s2 = 8683486, int(edited[s2]) = 0 s1 = 191172, s2 = 8683486, d1 = 0, d2 = 40 Dl.O(d1) = 4519380 Dl.O(d2) = 194043477,185809468,176368635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 191172, s2 = 8683486, dlinesl.size( ) = 22 s1 = 9062799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9062799, s2 = 13322674, int(edited[s2]) = 0 s1 = 9062799, s2 = 13322674, d1 = 15, d2 = 12 Dl.O(d1) = 10905301,7212440,7212441,10683301,10683300,15451415,21448414,28700674,29266142,28634224,21394947,255400070,7033189,4424724,2731729,1582890,1582891,2731730,4544288,7212445,7212442,7212443,10683235,10683236,15451327,21448273,28700479,37226567,47124316 Dl.O(d2) = 71224380,84792851,98720469,92546663,78501191,65213119,53225427,53225426,53225428,42774759,33744434,25937356,25937357,25937362,256162207,42774768,268614452,33744442,40868952,32097197,24521961,19274677,13777733,13777732,19274676,25937369,33744452,42774778,50929253,47013096,256061010,23772669,17443736,17443737,12296254,8304806,8304805,12296252,17443850,13263816,254426026,5916438,9050532,254633420,18600361,25157663,25157659,18600359,18600360,25157661,32864514,32864515,30381961,254636314,16742979,11698404,11698403,16742977,22980050,30381953,30381954,38967892,48887772,41784918,41784919,41784914,38967901,38967900,48887782,60281251,63917005,77028737,90908792,102166630,88175985,74561214,61777804,50298351,40277905,31593625,24090295,24090294,24090301,17732841,12546331,12546330,17732839,24090296,31593626,40277906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9062799, s2 = 13322674, dlinesl.size( ) = 2 s1 = 9062799, s2 = 13322674, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9062799, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 11655828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 674766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 674766, s2 = 2627912, int(edited[s2]) = 0 s1 = 674766, s2 = 2627912, d1 = 14, d2 = 12 Dl.O(d1) = 17236742,12119135,8150387,8150388,11038013,8150350,8150351,7323074,4624215,4624214,7323073,255069743,256333064,15775006,10927057,7228404 Dl.O(d2) = 62706818,74231355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 674766, s2 = 2627912, dlinesl.size( ) = 8 s1 = 192675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7839890, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 292534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 292534, s2 = 7871343, int(edited[s2]) = 0 s1 = 292534, s2 = 7871343, d1 = 24, d2 = 37 Dl.O(d1) = 7247085,4569333,4569332,4572479,2750599,2749519,2749520,4570985,7249148,4572847,2750903,1594557,1594556,2750900,1594685,1594686,1591798,904965,904964,1591796,2746529,4566709,2747617,2747616,4568286,7245615,4571625 Dl.O(d2) = 3236252,5283211,8212099,12180319,12199933,12156430,8186771,5256121,3212294,3212295,5256123,7309087,4619875,4619876,4620502,2782264,1613895,1613894,2782260,4620497,3185099,1863963,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781256,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783468,3226799,3226801,3256251,5305885,4734926,3000660,1742571,1742573,3000665,4968082,7826965,7824909,4966506,2999688,2999691,4966510,4967917,7826767,7826470,4967674,3000405,2999366,2999369,3220369,1887213,1887212,3220317,3220315,5265398,5265556,8152477,5223580,3186548,1864731,1864730,1863213,1063059,1063058,1863209,3183626,5218945,5327398,4676476,2817314,1634447,1634448,2817317,4676480,7402484,11159950,8147586,5219560,5219561,8147592,11312136,11312135,11037268,7311621,254347445,2778983,4614988,7311618,7820616,7820615,8278170,8278171,12257413,12188334,12188333,11037507,7311871,4615155,4615153,4966041,4966040,7824318,7313252,7313253,254535518,16765166,16765165,11718863,7820871,254370629,2997366,4963006,7820874,11718866,7821079,4963183,2997494,1740854,989250,556507,311205,172036,94636,52205,29361,16823,16824,29363,52210,94643,172049,311244,556605,989473,1741259,2998127,2816974,2816977,1777538,1013462,571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279115,5299292,8166419,5236198,5236199,5236184,5236168,5236167,8166394,12136397,17256336,254839311,8226697,5297171,5267877,3222605,1888867,1077846,1077847,1888870,1086193,609924,609925,1086195,1902768,3242495,2996471,1740190,1740193,1097172,1097171,1920607,3267159,5291639,5291640,8221624,8191508,5260827,5260828,8191506,8206597,5277446,3231241,1894982,1894983,3196336,1871050,1871051,3196337,5236335,3252454,3252456,5268756,3234532,3234531,3235085,5281219,3234507,3234506,5281216,8208829,5279848,3233345,1896532,1896533,3233347,5279850,5245789,5245790,254584725,8191565,7324570,7324571,11049323,8177481,5246995,5246994,8177479,5258186,5258185,7514701,11317482,7946942,5053800,5053798,7931529,5073865,5073866,7973496,5073891,3076711,3076710,5073884,7973522,11918881,11928749,7982127,7982126,11928747,17013942,17022147,11937527,11937528,17022149,23281053,17038952,11952705,8001308,5093717,5093716,8001306,11887295,11887296,11885269,7945943,5053229,3061392,3061391,5053225,7945936,11885256,16972764,23238281,23238279,23273714,23243970,16977143,11890191,11890190,10834463,7161926,7161925,10834458,12613023,8561410,5558629,5558632,7785525,7785521,7933295,11869234,16956976,23229770,30361667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 292534, s2 = 7871343, dlinesl.size( ) = 8 s1 = 6461400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7841690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9373106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655976, s2 = 10985730, int(edited[s2]) = 0 s1 = 11655976, s2 = 10985730, d1 = 32, d2 = 35 Dl.O(d1) = 259247495 Dl.O(d2) = 254843204,10590300,7901428,5022752,3040262,3040267,4380977,4380973,6973757,10572773,8276802,6063604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655976, s2 = 10985730, dlinesl.size( ) = 2 s1 = 11655976, s2 = 10985730, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11655976, Dl.E( ) = 66, 3.19e-05 seconds used appending s1 = 13180327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6477394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6477394, s2 = 11023254, int(edited[s2]) = 0 s1 = 6477394, s2 = 11023254, d1 = 68, d2 = 139 Dl.O(d1) = 254977340 Dl.O(d2) = 6818725,4277270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6477394, s2 = 11023254, dlinesl.size( ) = 36 s1 = 1857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7972578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14491345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14491345, s2 = 294915, int(edited[s2]) = 0 s1 = 14491345, s2 = 294915, d1 = 9, d2 = 3 Dl.O(d1) = 38900680,30314129,22914069,16681074,11643730,267979064,18535796,13170487,10725870,7086640,4461841,2680513,2680514,4461846,7086647,6375099,4000094,2397226,2397225,4000092,6375095,9692542,14092059,19659902,26394216,267896646,15508815,15508816,13012235,8859250,5774453,3597429,3597432,5774417,5774420,6375284,6375279,9692947,11547534,16565827,14087532,14087531,15466977,11837134,7910987,5029187,5029188,7910990,11837135,16913901,22786928,22786929,30175658,28314146,21103818,21103815,23181762,28314192,24106575,24106573,24106582,17747814,12557769,11838438,7911758,5029596,3044727,1773308,1010812,569715,319097,319096,569711,1010806,1773297,3044708,5029559,7911689,11838332,256101486 Dl.O(d2) = 7298506,11023678,13907365,9544695,6262309,3920567,2346863,1359418,1359417,2346861,3920563,6262299,9544678,13907332,18599080,25156348,32863173,41783589,52096952,258380485,90907227,105087262,119280126,133109788,146336795,158704640,262491039,147385528,134172168,120338225,106135322,91938640,78014399,64819450,52897732,268754623,25718377,25718376,268754621,25718379,19089266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14491345, s2 = 294915, dlinesl.size( ) = 2 s1 = 14491345, s2 = 294915, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14491345, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7942165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 78060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 78060, s2 = 14877508, int(edited[s2]) = 0 s1 = 78060, s2 = 14877508, d1 = 11, d2 = 3 Dl.O(d1) = 1610342,2775947,4610475,7306085,11031270,15909849,11031847,7306546,4610778,4610779 Dl.O(d2) = 16379792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 78060, s2 = 14877508, dlinesl.size( ) = 2 s1 = 78060, s2 = 14877508, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 78060, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 195176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13158821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13158821, s2 = 1529463, int(edited[s2]) = 0 s1 = 13158821, s2 = 1529463, d1 = 9, d2 = 5 Dl.O(d1) = 4826081,2908337,1687201,1687200,2908330,4826064,7627776,11467428,16458178,17915775,16636178,16251715,12686485,12686484,17907695,12693117,8628784,8628785,12700789,17925322,17920372,17920374,267850012,12169572,8201571,5272516,5272517 Dl.O(d2) = 38843809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13158821, s2 = 1529463, dlinesl.size( ) = 2 s1 = 13158821, s2 = 1529463, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13158821, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 13235909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 439140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 298624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 298624, s2 = 10196648, int(edited[s2]) = 0 s1 = 298624, s2 = 10196648, d1 = 5, d2 = 16 Dl.O(d1) = 7401417 Dl.O(d2) = 92448140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 298624, s2 = 10196648, dlinesl.size( ) = 2 s1 = 298624, s2 = 10196648, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 298624, Dl.E( ) = 54, 1.6e-05 seconds used appending s1 = 197138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8211632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8211632, s2 = 7974535, int(edited[s2]) = 0 s1 = 8211632, s2 = 7974535, d1 = 34, d2 = 30 Dl.O(d1) = 86918946,73308784,73308785,258741649,59372631,47982500,38070235,268400233,16043839,11140089,11140088,16043837,22166473,29506614,38070229,34010085,26168218,19467457,19467456,26168216,30642334,39239862,49166196,60565603,73308798,258827009,72105207,59372617,49166171,49166172,47982497,47982498,59372628,72105208,60565575,55690047,55690046,68087941,256480920,35358478,27235650,27235651,28437827,36937290,44783704,55691067,61213617,60771160,257030760,30835645,30835644,25108686,25108687,32811187,256619489,38386681,29814047,29814045,29813897,22446241,22446240,29813895,29813934,22446275,16276894,11318229,11318230,16276895,22446276,28547973,22871938,16643861,11611812,7731581,4894544,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,3535925,4033705,6429569,254614866,19855129,26672029,34665143,43939268,46925566,256315587,21323498,15351961,10605333,6997307,6997306,10605331,15351958,21323494,26144157,22446164,16276802,16276803,21323436,15351918,15351919,21323440,28547635,21323557,21323448,15351925,15351924,21323446,23557438,23557439,31039545,31039592,37047258,37047260,268401173,22210437,29555142 Dl.O(d2) = 2820526,1636362,930490,930489,1636360,2820520,4681256,7408578,11167167,16078846,11166241,7407943,7407945,11166244,16078850,11166546,11166545,11166401,7408045,7408044,4681233,4681231,7407715,4680760,2820239,1636205,1636204,254236019,4680777,7407738,7407727,7407726,7408304,255079695,16080548,22211466,29555095,22210273,16079527,11166778,7408280,7408279,11166776,11166953,7408426,7408427,11166954,255456117,16078645,11166175,11165949,11165948,7408404,4681167,4681169,7408411,11166932,11166601,7408179,4681045,4681047,7408183,11166609,7408237,4681074,4681075,7408239,11166697,16079391,16078756,16078755,22209393,22211285,16080357,16080358,22211286,29556266,29555194,29555193,256390119,22210282,16079534,255893903,268401191,22211271,29555108,38120282,38120104,29554943,29554944,22210508,22210509,22210918,22210919,29555855,29554961,22210148,22210149,29554964,28547674,28547675,22211314,22211313,29555079,37047375,29555331,22210526,22210525,29554967,29556303,29556302,256932001,22209175,16078577,16078575,22209171,29553913,38118973,48032196,258745299,85452760,99393591,259370351,72163492,270320169,72163490,62687923,51058039,40916872,32139459,24557633,24557634,256578285,38119380,38120090,47245328,58638661,71375184,71857138,59424564,48032098,48032097,59424561,72163405,61908762,50418366,270384210,47389021,37481419,28939424,28939425,37481421,47389024,58776166,71505477,59609316,59609317,257044719,31039417,23557303,257627273,65204774,65204775,74871241,72188405,59450459,59450458,72188403,85782528,99736248,113750437,127619117,127619119 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162390, s2 = 3480, int(edited[s2]) = 0 s1 = 14162390, s2 = 3480, d1 = 93, d2 = 106 Dl.O(d1) = 51086721,62717938,256362412,42724404,50696107,257396980,46610678,36723014,36723013,46610676,57986778,46610497,46610496,57966353,57966352,48869287,38949649,36702897,28211674,28211675,36702900,46589823,48869321,48869320,60262196,70683808,57965623,46589231,36702449,28211305,28211306,256828236,57965626,57966350,57966349,70684497,70684508,81225227,67759136,55419138,44571971,35193902,27104726,27104727,21018210,21018213,28211717,36702978,35193892,35193893,44571956,49162170,60561971,49162181,49162182,60561979,72997713,60262172,48869291,44571960,44571959,256289732,73305747,86916258,100897044,112092227,98132229,257407578,70683803,57965621,46589228,46589227,46589784,36702872,36702871,44571973,35193904,255752367,14497838,9975680,9975679,14497836,20204573,27104720,30637547,39235498,48869278,38949641,30363501,30363500,38949640,44571962,35193897,35193896,38949655,255374822,256289731,28211302,28211691,28211692,36702916,28211683,28211682,36702914,46589829,36702951,28211698,28211699,36702955,46589870,268604264,60233286,48838926,39235508,30637561,23214554,23214547,23214545,30637550,39235500,49162175,57966313,57966314,70684474,257407534,36703017,28211749,21018245,21018246,28211751,268375350,57966439,48869285,48869283,60262164,57966323,46589847,36702935,28211688,28211687,36702930,46589842,57966320,57966344,57966343,268375354,46589833,36702922,36702921,46589832,57966312,57966436,57966435,49162194,268604266,23214562,16942631,11857744,11857743,16696316,16696317,22930892,269302578,8270937,12245973,17377940,261717299 Dl.O(d2) = 9322208,254450645,2289132,1328142,758253,431107,243367,134500,73103,73109,73400,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39719,73379,134945,133877,133875,242071,428886,754826,1322898,256141929,255635066,267748414,254081862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 7946474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8296190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8296190, s2 = 15059329, int(edited[s2]) = 0 s1 = 8296190, s2 = 15059329, d1 = 7, d2 = 8 Dl.O(d1) = 85511062,99457001,99767172,85813501,72219567,59482343,48092792,38181007,29613931,255708254,11199595,7431287 Dl.O(d2) = 4695900,7431291,11199599,8593599,5583688,5583689,8593601,12657612,17874181,24251697,31763517,40457940,257428460,29222056,21906787,21906786,29222055,31512077,255821922,21906788,255823258,17664605,17664606,24011751,31512078,40197948,50219941,61695302,61701683,50219939,40197943,31512075,31512076,40197945,50219940,59482347,50213498,40191385,40191386,50213501,50213490,40191378,31506047,31506049,31506054,31506055,40191389,50213505,61695299,74477718,74477722,74477723,88089467,258039922,88089456,102075583,88089463,74477712,61695291,50213497,268610446,268610444,50213493,61695285,74477702,88089451,102075578,88089461,88089462,102075589,95610803,95610802,102075573,114469388,113642660,113642662,257931398,72892748,72892747,86487854,100445016,114469390,114469393,100445019,86487857,72892749,60156806,60156807,48763013,48763014,59358882,47967733,47967734,59358884,72092610,65245423,65245424,78535623,70797584,70797585,84355814,255342348,67684500,55344820,55344819,59698944,59698945,72434511,78535629,78535628,67684499,270137863,109462036,113364495,99363067,85420467,71832763,256764078,73457036,87074578,87074579,254697058,59092828,47694370,37773050,37773051,47694372,48107469,48107470,59358877,71832760,72092613,256764070,38054505,38054504,256764068,29490636,22151898,22151899,29490639,38054501,47967731,59358879,59358876,47967729,47967728,59358874,59358887,55344803,44498467,35120905,27033971,27033970,35120904,44498466,55344801,55344809,67684488,67684489,67684490,55344808,44498480,35120914,27033979,20141128,14446999,14447000,20141130,27033984,35120922,44498477,258533757,81150332,67684512,55344829,44498488,44498489,44498487,44498486,257913385,74780950,61984868,61984867,74780946,61984862,50492922,50492921,61984861,74780945,88412244,259540450,74780890,61984811,50492896,50492895,257333470,40457002,40457003,31762546,31762547,40457004,31762545,29613963,22263025,16122611,11199605,7431293,4695902,254236683,1641621,2829375,4695901,254309540,6114681,9335170,13632943,9768891,6422870,4029333,2414456,1397576,795271,450699,253902,140472,254095387,795269,254213067,4029324,6422837,254964735,19835901,26649386,255315716,254682130,254313382,254152106,140472,76894,76895,140473,253903,450701,795275,1397583,254313389,2414461,2414462,4029336,2414457,1397577,795271,450699,253902,140472,76894,76895,140473,253903,450701,795275,1397583,2414452,254466350,2414453,1397575,1397574,2414452,4029328,6422864,6422867,4029330,2414454,1397575,254116112,253902,140472,76894,76895,254095389,795264,450697,450698,795266,1397568,2414448,4029323,6422858,9768881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8296190, s2 = 15059329, dlinesl.size( ) = 8 s1 = 299956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1947564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1947564, s2 = 873580, int(edited[s2]) = 0 s1 = 1947564, s2 = 873580, d1 = 13, d2 = 12 Dl.O(d1) = 50206157,40183376,256402206,8457190,254408165,3360367,2844772,2844771,4721689 Dl.O(d2) = 22339065,255904858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1947564, s2 = 873580, dlinesl.size( ) = 14 s1 = 301419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6428061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6443420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 302889, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13304929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13304929, s2 = 13217556, int(edited[s2]) = 0 s1 = 13304929, s2 = 13217556, d1 = 0, d2 = 0 Dl.O(d1) = 2817322,2817324,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,1741128,1741125,2997909,4963688,5461273,5461263,5461265,8454047,8454046,268115307,16764630,11717178,7818508,7818509,8225911,8218687,5463457,3359516,3359518,5463460,7489612,4733202,2854849,1656798,942685,942686,1656799,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905109,1918559,1918560,3264351,5262433,4608109,2773998,1609054,915498,254164083,2774044,4608151,7303699,5236437,5236438,8166738,8207015,8207016,8195896,8195895,268387178,5277376,5271321,267993785,254391819,3212301,5256131,8147128,8147129,5282943,3236090,2782659,1614103,1614102,1891857,3226794,4617245,4617244,7314596,11040217,7895680,7308382,7308383,268081087,22013451,255443541,11039509,7313889,4616772,4616773,254760191,11039859,254836063,5262432,3217650,1885274,1885273,3217647,5235660,3202517,1875169,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335236,184345,184342,335226,601930,1071180,1877437,1877438,3205943,5204396,8123445,11052655,11052656,15929637,11052667,254358038,3196658,1871243,1871244,3196661,5236701,8166947,8178519,5248160,3206051,3206052,5248166,5248093,3206001,1877475,1877476,3001906,3001908,4970050,5272305,5272304,8194987,5265046,3220060,3220063,5247781,7468899,4720001,2843658,1649635,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301557,537883,953841,1675764,2863222,4750776,7515078,11317989,16276579,22445905,29813516,31020940,31020939,30717325,23300062 Dl.O(d2) = 2817322,2817324,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,1741128,1741125,2997909,4963688,5461273,5461263,5461265,8454047,8454046,268115307,16764630,11717178,7818508,7818509,8225911,8218687,5463457,3359516,3359518,5463460,7489612,4733202,2854849,1656798,942685,942686,1656799,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905109,1918559,1918560,3264351,5262433,4608109,2773998,1609054,915498,254164083,2774044,4608151,7303699,5236437,5236438,8166738,8207015,8207016,8195896,8195895,268387178,5277376,5271321,267993785,254391819,3212301,5256131,8147128,8147129,5282943,3236090,2782659,1614103,1614102,1891857,3226794,4617245,4617244,7314596,11040217,7895680,7308382,7308383,268081087,22013451,255443541,11039509,7313889,4616772,4616773,254760191,11039859,254836063,5262432,3217650,1885274,1885273,3217647,5235660,3202517,1875169,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335236,184345,184342,335226,601930,1071180,1877437,1877438,3205943,5204396,8123445,11052655,11052656,15929637,11052667,254358038,3196658,1871243,1871244,3196661,5236701,8166947,8178519,5248160,3206051,3206052,5248166,5248093,3206001,1877475,1877476,3001906,3001908,4970050,5272305,5272304,8194987,5265046,3220060,3220063,5247781,7468899,4720001,2843658,1649635,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301557,537883,953841,1675764,2863222,4750776,7515078,11317989,16276579,22445905,29813516,31020940,31020939,30717325,23300062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13304929, s2 = 13217556, dlinesl.size( ) = 2 s1 = 13304929, s2 = 13217556, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13304929, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13338139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13338139, s2 = 13243030, int(edited[s2]) = 0 s1 = 13338139, s2 = 13243030, d1 = 6, d2 = 3 Dl.O(d1) = 254780119,11320648,11320673,7517019,7517018,4752638,4752637,7517009,11320659,16279052,11323762,7520048,7520049,7519773,7519772,7516472,7516470,7516368,4751560,2863701,1662114,1662112,2863576,4751323,4751328 Dl.O(d2) = 1606396,913746,913747,1606398,2770197,4603463,254758719,11320363,16279425,12022319,12022318,11322605,7518901,4753383,4753381,4752219,2864075,2864074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13338139, s2 = 13243030, dlinesl.size( ) = 2 s1 = 13338139, s2 = 13243030, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13338139, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 11656422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13262631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13262631, s2 = 10144575, int(edited[s2]) = 0 s1 = 13262631, s2 = 10144575, d1 = 1, d2 = 11 Dl.O(d1) = 1840209,3145954,5162984,7529622,4762805,4762803,7529620,254824415,12014336,11981516,8029897,8026683,5154099,5154100,8061555,8072477,254562516,8042372,5150106,3134530,1832633,1045857 Dl.O(d2) = 254740253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13262631, s2 = 10144575, dlinesl.size( ) = 2 s1 = 13262631, s2 = 10144575, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13262631, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 304589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 304589, s2 = 13321674, int(edited[s2]) = 0 s1 = 304589, s2 = 13321674, d1 = 51, d2 = 39 Dl.O(d1) = 7558442,7558443,254580812,9790970,6436764,4037778,2419535,2419536,4037779,6436765,254967137,19878665,26699373,34694012,40074288,31392748,23898479,17553229,17553228,254521138,11367501,11367500,16337953,254181924,7558733,7558735,11377390,7767134,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,7542247,4770666,2875846,2875847,4770671,7542254,11351010,16314980,22487652,16322545,11355787,11355786,16235362,22395254,16320129,11354268,7544054,7544055,11354270,16320133,22493056,254238608,16314809,20081994,14398561,9903885,6509508,6509507,9903881,14398554,10752088,7546895,4773045,4773043,7546883,11348989,16311813,11349003,11349001,16311835,22483491,29849012,22509491,22509492,29860387,22497184,16323139,11356174,7545049,7545050,11356180,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091406,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,29873707,22563207,22024843,22024844,29355549,37922198,267993356,254520500,15908399,11029683,7304155,7304156,11029668,15908372,22009946,23637029,17321433,16355701,12196480,11730391,11730388,16330729,254347966,38427998,40074288,31392748,23898479,17553229,17553228,254521138,11367501,11367500,16337953,254181924 Dl.O(d2) = 48940434,48940435,49918674,39898910,31222090,23738510,23738511,31222093,31443183,31443184,31443185,256529465,31442829,31442912,31443223,23951709,23951445,23951446,31442875,23951838,23951836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 304589, s2 = 13321674, dlinesl.size( ) = 2 s1 = 304589, s2 = 13321674, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 304589, Dl.E( ) = 52, 2e-05 seconds used appending s1 = 6436095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 465063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 445977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 305063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6703181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9353156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9353156, s2 = 6559285, int(edited[s2]) = 0 s1 = 9353156, s2 = 6559285, d1 = 20, d2 = 15 Dl.O(d1) = 79239325,65874763,53806629,53806630,65874765,72536500,59801262,48416204,38510309,29946652,22583592,16401062,11417326,7588003 Dl.O(d2) = 4983581,3010370,3010374,267898653,11759601,255958527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9353156, s2 = 6559285, dlinesl.size( ) = 2 s1 = 9353156, s2 = 6559285, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9353156, Dl.E( ) = 22, 1.19e-05 seconds used appending s1 = 306970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9091920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9091920, s2 = 11851317, int(edited[s2]) = 0 s1 = 9091920, s2 = 11851317, d1 = 38, d2 = 4 Dl.O(d1) = 256967267,30009708,22638698,255105337,7623634,254361079,2906667,4823442,254540657,2906659,4823428,254788609,16449845,22638585,30009532,38581482,48496236,59890203,257441450,58497148 Dl.O(d2) = 21408352,28650922,255831790,256862476,58434703,256862478,258051922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9091920, s2 = 11851317, dlinesl.size( ) = 18 s1 = 6483820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6483820, s2 = 10134781, int(edited[s2]) = 0 s1 = 6483820, s2 = 10134781, d1 = 11, d2 = 10 Dl.O(d1) = 255062014,5477646,3370772,1983522,1132969,1132968,1983521,3370769,3371293,1983813,1133129,1133128,1983811,3371289,5478545,4723093,4723091,7473470,11257773,16195080,16480980,254790063 Dl.O(d2) = 12172258,12143490,8173012,8173015,8227743,254839085,254834859,5299640,3250551,1908662,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,1661495,2862672,2862736,1885995,1885994,3218661,3206450,3206449,5248696,5248132,3206033,2887512,1675883,953499,537627,537626,953494,1595947,2753011,1617823,1617822,254240168,5031753,7300255,7574145,4790344,4789658,4789656,5031573,5031574,5031792,3046003,3046004,3214196,5258430,7574949,5258172,3214016,3214015,5258177,5247242,3205296,3205295,5092327,3090282,3090279,2778710,1612001,1611998,2778699,2843671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6483820, s2 = 10134781, dlinesl.size( ) = 2 s1 = 6483820, s2 = 10134781, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6483820, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 307705, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7561439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7561439, s2 = 4489979, int(edited[s2]) = 0 s1 = 7561439, s2 = 4489979, d1 = 61, d2 = 24 Dl.O(d1) = 267979964,4836534,2914364,1690593,1690592,2914362,4836531,7644849 Dl.O(d2) = 177156386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7561439, s2 = 4489979, dlinesl.size( ) = 2 s1 = 7561439, s2 = 4489979, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7561439, Dl.E( ) = 62, 1.91e-05 seconds used appending s1 = 308616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7864575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7864575, s2 = 16252747, int(edited[s2]) = 0 s1 = 7864575, s2 = 16252747, d1 = 0, d2 = 0 Dl.O(d1) = 750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,9747688,14179291,19795482,26601815,34588599,255725934,42278766,254962714,18924181,14173553,9743933,9743931,14173544,14179668,13489674,13489675,13493460,9231614,9231615,7435854,4698636,4698634,7435844,11206596,16132300,22274575,26662730,22274645,18842768,18842769,18842762,18842763,14224079,9778448,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1399235,796430,796426,1399129,2416854,2858945,4743834,7504797,11303816,16258598,22424795,22763561,255111379,7674460,4856047,4856043,7674454,11535717,16550518,22763539,30151145,38732923,257559033,72788947,86385029,100342433,260633179,141596248,154252920,166006011,176647252,186063777,194271767,201302465,207219494,212099243,216085793,265402551,222178885,224574865,226656237,265874699,230064479,266126279,266237133,266433445,235886024,236752452,237541849,236837704,235979347,235036229,233999885,232862621,231606697,230207142,228631116,226838627,224782779,222414106,219654392,216387047,212447117,207629135,201785747,194843994,186732762,177418861,166873334,155181517,142538249,129162310,115231448,101154141,87156205,73537941,73537942,86871134,100852058,114902715,118216605,104056900,89927238,270403406,63115763,51418986,41222192,41222191,51418985,63115765,70896405,58182770,46815897,36937492,28438008,21212811,15245319,10517300,254723989,4358412,4358411,6935902,10517302,10517291,10517292,255817213,28438015,36937502,46815903,58182775,70896408,84452885,259132878,126204771,139579699,152309194,164192077,175007520,184607830,192991243,200182835,206255301,211276263,264675280,221631770,224089473,226220963,228076583,229704869,231149743,232445015,233616111,234681457,266579449,238083871,266710350,239934217,240458111,240944001,241393911,241810670,266991116,240526170,240008046,239449319,266715780,237464306,236668647,235795900,235795901,236668648,236668645,235795899,234837480,234837481,235795901,236668648,236668645,235795899,234837480,266197610 Dl.O(d2) = 750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,9747688,14179291,19795482,26601815,34588599,255725934,42278766,254962714,18924181,14173553,9743933,9743931,14173544,14179668,13489674,13489675,13493460,9231614,9231615,7435854,4698636,4698634,7435844,11206596,16132300,22274575,26662730,22274645,18842768,18842769,18842762,18842763,14224079,9778448,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1399235,796430,796426,1399129,2416854,2858945,4743834,7504797,11303816,16258598,22424795,22763561,255111379,7674460,4856047,4856043,7674454,11535717,16550518,22763539,30151145,38732923,257559033,72788947,86385029,100342433,260633179,141596248,154252920,166006011,176647252,186063777,194271767,201302465,207219494,212099243,216085793,265402551,222178885,224574865,226656237,265874699,230064479,266126279,266237133,266433445,235886024,236752452,237541849,236837704,235979347,235036229,233999885,232862621,231606697,230207142,228631116,226838627,224782779,222414106,219654392,216387047,212447117,207629135,201785747,194843994,186732762,177418861,166873334,155181517,142538249,129162310,115231448,101154141,87156205,73537941,73537942,86871134,100852058,114902715,118216605,104056900,89927238,270403406,63115763,51418986,41222192,41222191,51418985,63115765,70896405,58182770,46815897,36937492,28438008,21212811,15245319,10517300,254723989,4358412,4358411,6935902,10517302,10517291,10517292,255817213,28438015,36937502,46815903,58182775,70896408,84452885,259132878,126204771,139579699,152309194,164192077,175007520,184607830,192991243,200182835,206255301,211276263,264675280,221631770,224089473,226220963,228076583,229704869,231149743,232445015,233616111,234681457,266579449,238083871,266710350,239934217,240458111,240944001,241393911,241810670,266991116,240526170,240008046,239449319,266715780,237464306,236668647,235795900,235795901,236668648,236668645,235795899,234837480,234837481,235795901,236668648,236668645,235795899,234837480,266197610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7864575, s2 = 16252747, dlinesl.size( ) = 2 s1 = 7864575, s2 = 16252747, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7864575, Dl.E( ) = 2, 4.7e-05 seconds used appending s1 = 6455434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13506415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13506415, s2 = 10985594, int(edited[s2]) = 0 s1 = 13506415, s2 = 10985594, d1 = 54, d2 = 45 Dl.O(d1) = 60722392,60722393,257382868,60722386,257608359,49320104,268974333,39392006,49320086,60722385,257993470,73470710,256267610,268597612,60722408,49320101,49320100,60722407,73470722,259463145,87088537,259243984,101085179,87088538,87088539,101085180,115161842,271749428,260079841,129092628,129092640,142469626,142469627,262782659,166808499,155114017,155113994,155113993,166808501,177359615,177359622,166808517,155114015,142469629,142469628,155114013 Dl.O(d2) = 21492521,28752241,26938417,26938416,35019423,37984381,29421596,28718767,21462623,15462123,10691174,7062994,7062993,10691173,15462121,21462619,28718760,22805907,22805908,30196731,30196738,38781288,33149853,29130523,21823499,21823502,29130526,30724304,26938348,22155169,22155166,21076860,21076862,18787164,13381249,9146488,9146489,13381258,18787177,20045182,20045101,16034226,16034224,22154642,23932561,29577547,29577545,31422242,26954699,20070397,20070396,26954695,35018509,31020282,31020281,28864532,28864531,28334269,26925889,20040551,14355936,9864035,9864037,14355944,20040568,26901825,34981448,34981258,26901659,26901654,23932550,23932549,20068834,14385183,9890821,9890820,14384155,9889790,9889791,14384161,20047123,20047122,20047095,20047094,26901727,254973380,55209386,44395228,35019836,35019835,44391098,47539253,37633568,37633567,44394977,44394978,44394991,35019449,26938446,20052467,14366755,9873024,9873021,255324231,26938431,35019433,44394984,39380463,30778726,255532323,11999227,11164445,11164446,11978013,11981659,8030074,5119196,3109712,3109713,5119198,8030077,11981661,17068852,11982574,8031520,5120848,3156081,3156083,3156097,3108541,1816464,1816467,3108547,5117596,3130758,1830216,1044579,1044578,1830213,3130753,5145732,8033199,8033198,254340898,5227079,8017713,5106293,3100041,3100040,3126221,5126601,254383231,1826933,1826934,3125346,5124369,5114537,3136808,1834076,1819549,1038781,1038780,1819547,267838257,8034773,5233871,3194444,1869846,254261559,5233869,8078953,8050335,5140932,5140931,8042185,8042186,8039074,254382551,1822126,1040176,585738,327165,327166,585740,1040177,1822127,2818402,1635109,929843,929844,1635111,2818404,3107999,1816108,1036999,584154,584155,1036935,267769441,3107857,5116657,7524104,7524105,8050321,254823031,5126378,3115384,1820617,1039385,585362,585361,1039382,1820614,3115380,5126371,5107031,5107029,5105845,5105846,5156635,3140223,3140221,5148794,3133297,3133296,5148788,3133298,254384003,3154879,3154880,5170235,5170236,8038916,8063403,5172627,5155703,5155700,267989407,5139015,4758843,4758844,5116826,5116825,4760463,2869473,2869472,4760461,7527132,254564360,3152211,1844342,1844345,1837664,1837661,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8000445,8000444,8156562,7975413,7975411,8019544,7975982,5075617,3077916,3077918,2871062,2871063,2866894,2866895,4756503,7522358,8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112774,5123206,8033733,8036871,5126966,3115895,3115897,5126972,8036879,11986254,11907766,11907765,11330588,11330589,11866754,16954361,23227461,22455573,17007684,254176222,11938407,7989865,7989866,11938410,17023407,17023406,15572391,15572390,16955902,254254700,22455855,25732993,22427695,16260902,11305568,11305566,15571976,11542208,10815440,10815441,11953807,8002194,8002196,10401639,6856733,6856730,10401632,14493529,14493530,17321979,12197127,12197126,17259511,21101982,15157734,254183062,8243223,6553967,6553966,8188058,12157367,14493193,14493195,14431777,9927280,9927279,8205915,8205917,11377614,11374805,7556835,7556834,8222374,5292554,5292555,8222379,11035447,11035444,15913972,17319601,12194743,8224931,5295310,5295309,8224928,12178181,8209780,5280565,5280564,8209695,5280520,3233848,1896842,1082644,1082643,1896839,3233839,5280579,254582530,11352011,11352013,16316621,16319579,22492966,23378453,23378455,30806586,38414913,38414912,42911515,38413304,29841536,254602484,38421310,29853816,29848273,22482711,22482710,22106050,15994864,15994863,22106048,16312813,16312812,22484604,28287499,28287500,27151022,22474287,16310688,11348331,11348333,11344476,7538781,7538780,7543284,4771209,2876112,2876113,4771214,4769032,4769031,7538916,11344745,16305088,16324144,22498253,22475600,16305359,11344911,7539000,7539001,11344913,11103564,11103565,15994840,16306406,11345546,10587326,6984168,6984169,10587327,15328842,10587283,10587282,15328840,15330033,15330034,20123733,14432026,14432025,20123732,27015897,29884448,22530019,16357405,16357404,20834152,16122768,16122766,22263229,29614193,29439597,22106300,22106301,16334963,11365294,11365293,11343718,11343719,15920521,22021712,22519350,21297204,15329910,15329909,21297199,28518204,29307023,21979464,15884354,15884353,21979458,16337750,11367368,11367369,16337753,22511571,29870787,27017923,22026024,22026023,23570812,31054231,24540375,18106561,18106560,22530228,23591481,22530520,22530521,29877282,38436141,35355426,27232431,22504578,16330590,16330591,16338124,16338125,22512004,16357808,16357807,20303323,14570515,10026362,6589603,4128398,4128397,6589600,10026352,254261846,22015403,15914082,12350305,11378357,7559387,7559385,8186348,8186349,5270375,5270376,8171098,5240189,5240188,8171091,11381655,7561764,7561767,4781507,3200189,3200185,5241308,8172180,11405334,11405333,16387328,12081313,12081312,8203190,5274289,5274283,8203207,12171150,11364816,7550462,4774963,4774959,7550440,5959693,3727016,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,477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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13506415, s2 = 10985594, dlinesl.size( ) = 8 s1 = 8129656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7582845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7582845, s2 = 14162173, int(edited[s2]) = 0 s1 = 7582845, s2 = 14162173, d1 = 13, d2 = 6 Dl.O(d1) = 41707299,32791521,30696366,30696367,39293902,49220508,52017755,41707310,32791527,256618089,52017766,63832728,257172495,256103779,25093080,32791525,41707307,52017761,63832732,257577504,84875076,71300558,58568492,47179671,47179672,47893925,47893926,59289796,47893952,37976170,29412779,22082301,15976512,11090775,11090774,11090765,7355403,7355404,11090767,15976501,22082281,29412724,29412723,37976101,47893868,59289747,59289754,59289755,72026300,74224290,72026299,59289750,47893870,37976104,37976103,31274801,23789122,23789123,31274803,39949761,49966570,61444571,61444581,49966556,39949744,31274794,31274793,39949743,39949738,39949737,49966549,61444570,74224287,61444566,49966544,49966543,39949894,31274938,31274816,23789137,23789136,17458037,12307337,8312863,8312858,5363907,3297480,3297479,5363904,8312866,12307340,17458041,23789257,31274927,257062549,61444740,74224460,87829500,101803600,103243492,89153653,75406625,62488429,50889169,40773248,32017159,24456309,24456310,32017161,40773252,50889165,40773246,40773247,50889168,62488427,75406622,89153646,97985297,111924686,109507015,95252711,81196543,74128409,61345823,61345818,61345817,74128403,74128407,61345822,61345821,74128406,87734615,101709026,115755319,128474416,114588586,100556555,86594913,72997239,72997240,86594914,100556556,100556557,112587110,123600942,109408397,95153700,258529261,67630491,81096023,259134312,95153689,109408382,123600929,109408399,95153701,81196969,67731478,55391146,44543818,35166124,27078405,27078406,35166126,44543821,55391153,67731491,81196977,95253091,107405733,107405736,116073495,129953619,129979661,116073497,116073496,129979662,143310612,155855584,167475376,177953783,173331736,162261427,150092947,137015445,137015446,150092949,150092952,137015447,137015448,123247437,123247436,137015450,150092955,162261433,261543921,272454671,162261431,173331741,183162378,183162381,173331743,263019691,262865388,162261435,162261436,150092962,137015454,137015455,150092964,162261439,162261441,162261440,173331745,166177884,261897236,141794732,128441067,114556827,100526078,86564750,86564751,100526081,114556829,114556830,128441069,128441070,141794734,141794735,154442114,166177883,172473349,172473348,176797794,262865386,186193116,194384331,194384329,186193112,176797790,166177881,154442113,261358602,176797793,186193114,186193111,176797788,176797789,179988132,169805302,169805301,169805303,169805299,169805297,169805298,166602557,166602558,154903086,259243390,115015466,100961106,100961105,115015455,128917623,142269166,260463820,154903072,153429607,140748949,127393109,127393110,115015463,100961102,100961103,99511585,85564743,85564742,99511584,256804676,76594290,63515087,254995532,32591243,254320750,13082333,8914720,5817558,3628980,2167426,2167424,3628976,3629179,3629059,3628923,2167393,1254420,713465,713464,1254444,2167437,3629000,3628970,3628971,5817346,3629169,3629170,5817813,5818032,8915153,5817906,3629242,3629241,5817464,5817465,254117496,8914618,13082227,13082449,8914828,5817651,3629052,3629051,5817650,254217404,18418545,24929799,19041035,13592196,13083067,8915339,5818044,5818043,5817398,5817360,5817359,3628850,3628851,5817380,5817466,8914607,13082112,13082114,8914824,8914823,13082438,18418166,13082070,8914768,5817599,5817600,8914770,13082141,18418233,18418821,18418820,24930091,32590981,32591475,254320852,254703380,22632548,30002165,38572779,31269280,31269283,39944059,46276255,46276254,46276249,36423591,27965131,27965132,35347887,27224852,255356870,44773031,44773130,44773131,46276279,36423613,36423612,36422965,36422966,41468530,32591500,32591502,41468534,44773026,55681802,57620710,46276287,36423621,27965154,20802760,14908727,10251110,6735625,6735626,10251112,14908731,20802770,27965173,36423654,46276325,57620707,57620708,57621174,46276775,36424086,36424085,46276773,57621173,46277606,36424953,36424952,36427025,46276225,46276226,57620665,57621171,57620605,255781436,36423528,257382959,70311011,61459284,49981190,49981189,61459279,74238498,77271574,70311090,70311091,70311195,57620820,46276414,46276413,57620818,70311071,83835977,87717150,74111200,74111201,83835987,83835991,83835974,70311069,70311068,77384360,64234027,52378658,52378659,64234029,77384362,90452385,83836011,74521497,61739746,61739745,61328527,57620760,46276344,46276343,42035123,33087639,25355011,18772926,18772927,25355013,33087641,42035127,52378661,61328533,49845459,39822016,39822017,42035124,52378650,64234018,61739698,50261336,40241997,257085997,40242001,268445121,17697744,24051622,31556001,40242008,256804692,60549452,49150113,39223534,30625807,23203441,16933424,11851418,11851417,16933421,23203433,268241934,49150076,51903645,41603812,32700972,32700973,39223504,39223503,49150078,60549417,60549394,49150090,49150089,60008396,48618595,38704049,38704048,48618594,51367414,63048342,52127273,41811521,41811520,52127271,61739732,50261364,40242018,40242019,50261366,46864914,46864913,52127262,63516003,63516004,51738276,41469310,32592278,32592279,36630249,36630248,269368790,46496979,36630240,28156118,20977008,20977009,255798603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Dl.O(d2) = 4883923,4883924,7716283,11591700,13793841,13793285,13693633,9378080,9378081,9408016,6201285,6201286,9457876,13792853,255112776,9458600,6201773,3881804,3881805,6201775,9458602,13793861,19293193,255291348,33844217,33844218,35391895,27265839,255754294,14591981,14591979,20332501,27268053,26024335,19348218,13837709,9491557,9491556,13837705,14590793,19348205,19348206,20331348,20331347,20330387,14590518,10039729,6597907,4133538,4087140,4087141,4087180,4133516,4133863,2472902,2472904,4133873,6598463,10040608,14429031,10040540,10040541,14591697,268343835,35394285,44820193,55728125,68126088,259809743,123990739,123990744,109852132,259624352,76833735,63730576,257167414,41619624,47445357,37537295,28992145,21707850,15666012,10844903,7169241,4515269,2713061,2713060,4515263,7169225,10844872,15665960,17031617,18864540,18864539,25464828,31752192,31752190,40236121,37972481,33772736,30707487,23291195,17031448,12514516,8478202,8478203,9109199,5960304,5960305,9109144,5960277,3727348,267858949,9109155,13331758,18727397,23291342,23291391,23291392,30707725,39305479,41971426,41971407,33028271,25302099,18727341,13331717,9109133,9109134,13331722,18727359,25302123,33028291,30707716,23291386,23291385,23459939,23459940,30892871,25464769,25464768,33212378,39305427,30707665,25302129,25302128,28418699,21196378,15232268,15232269,21196381,23291324,23291327,30707638,30707634,39305395,49232087,60633058,73216259,60631974,49431255,41971462,41971463,49232114,39305468,30707719,30707721,39305472,49232132,46794448,46794450,52311987,41971402,33028265,25302094,25302096,33028269,33028282,41971415,52311994,59292499,72028899,60833046,49431278,256844104,30892942,39500165,48618436,42172007,42172006,39305419,39305420,30707688,30707689,38703817,38703818,39303272,256476314,39500059,39500060,39500073,39500072,47896938,59292481,49065839,49065840,60007727,48617692,38702896,38702897,48617666,38702871,30126040,30126041,28418818,28418819,36916668,36916677,37979617,29416767,22086419,15980186,15980192,22086461,29416778,37979634,47896932,39135438,30536534,23117765,16858261,16858258,23117751,23459995,30892935,39500161,39304468,33212411,33212414,30127169,22744590,16536504,11525704,11525703,16536497,16858289,23117823,30536630,38928093,38928092,48617616,38702829,30126021,30126022,38702830,48617635,255974880,55485657,67826926,60007376,60007375,60690361,60690362,60690410,60690413,61535106,50056117,40036504,40036503,48617382,48617380,60007405,60007415,60007417,60006120,48615483,38699894,30122670,30122671,38699900,48615494,49288426,39361377,39361376,39361868,39361932,49289063,48613925,38698430,38698429,48613924,255480428,39305283,49232000,39361391,39361392,39361875,39361874,39361898,48614847,38699202,30121978,30121976,38699200,48614844,49288634,39361527,30760566,23337862,23337863,30760643,39361606,48613789,48613790,60004599,60005558,60005559,60004593,48613785,48613783,60004588,60005485,60005949,48615259,48615261,48615219,38699603,38699601,48615213,258165579,60689953,60005319,60005321,72741148,60005222,60005220,60005469,60266668,60266670,72741247,72741291,86337923,73438315,60689916,60689917,60007853,60007852,60004674,48613859,38698379,38698380,48613865,60004681,60006082,60004744,60004695,48615431,48614344,38698800,38698799,48614341,38699077,38699078,48614698,48614397,38698837,30121735,30121734,38698831,48614389,38699004,30121847,30121848,38699006,48614597,60005383,60690236,60005479,60005478,48874226,38954613,30368460,22967025,22967027,30368463,38954622,48874233,48616909,48616910,60007118,60005481,60005480,60005637,48617858,38703104,38703103,48617867,60004662,60004663,60007865,72741132,60005725,48615042,38699427,30122647,22740072,22740070,30122641,38699855,48615425,53834632,48615654,48615655,48614377,38698825,38698826,48614382,48614741,48614743,48614580,48614578,48614267,48614266,60005088,60006203,60006206,72741848,60266657,48874224,38954609,30368456,30368452,37537460,30122586,22740024,22740025,30122588,30125091,30122598,30122597,38699792,38701923,37537482,28992277,28992228,21707908,21707906,28992221,37537414,38701906,30125078,22742676,16534883,11524377,11524375,16534875,22742663,30125052,30125128,30122024,22739789,16535051,16535053,22742817,16534988,11524443,11524444,16534991,22742824,30125142,30122680,22740086,22740087,30122686,22742770,16534958,16534959,22742775,30125181,30126251,28992265,28992261,22739549,22739550,22206292,22206293,29550067,38112908,30125493,28992293,21707946,21707944,28992289,30122778,30125191,22742779,22742710,16534904,11524388,7666374,4850707,4850709,7666377,11524393,16534915,22742727,30125132,30125276,22742877,22742879,30125221,22742811,255933809,30125136,30125137,30125144,22743219,16535369,255491555,11521863,11521864,16532010,22739543,30122083,38699342,30125153,22742740,16534926,11524399,11524400,16534931,22742744,22743119,16535264,16535267,22743124,30125535,22743133,16535273,16535272,22742783,16534965,11524424,7666395,4850719,4850718,7666392,11524420,16534909,16534910,22739692,16532138,16532139,22739697,16535006,16535005,22742844,22743194,30122103,22739555,16532018,11521868,7664398,7664399,7664395,7664397,7664406,11521765,7664315,7664316,11521771,16531861,16535037,11524482,7666437,4850766,2923101,2923102,4850774,7666410,4850741,4850742,4850901,7666594,7666712,11524578,11524579,11522266,7664672,4849468,4849469,7664677,4850712,4850711,7666381,11524407,16534936,22740390,16532773,16532772,16532687,16532686,22740316,16534808,16534809,22742617,16535774,16532031,11521880,7664404,4849288,2922090,1695006,1695007,2922094,4849295,4850953,4850954,7666684,7666665,4850945,4850944,4850782,2923109,1695634,964188,543326,543325,964182,1695629,2923097,4850757,4850974,4851372,2923532,1695898,1695896,2922207,4849480,7664687,7666635,4850921,4850920,7664626,4849642,4849644,7664885,11522169,7664811,4849578,4849575,7664802,11522410,11522599,7667096,7667075,4851271,4851270,4851364,7664426,4849301,4849281,2922083,2922081,4849271,7664374,7664366,4849265,4849266,2923284,1695750,964247,964248,1695752,1695759,1695758,2923302,4851072,4850854,4850855,7666549,7665932,254792433,255110201,255110199,255110197,11522433,7666236,7666235,11524173,7666157,7666158,11524176,16534680,22742352,16535395,11524783,7666744,4851006,2923255,2923254,4851002,2923649,1695990,964401,964400,1695986,2923643,4851520,4851521,7667390,7667551,4851649,2923724,1696034,964428,543461,543462,964430,1696040,2923734,4851672,7667583,11523782,16534048,11523884,7665848,4850266,4850265,7665844,11523857,7665832,7665831,11523853,16534408,16534782,16534780,22742295,16534646,16534647,255933695,22742279,16536412,11525619,7667450,4851567,2923669,2923667,4851563,4851545,2923655,1695996,1695995,2922786,4850366,7665957,11523992,7666333,7666332,11524342,16534843,16536486,11525698,7667570,4851664,4851663,7665883,11523915,11525716,11523868,7665837,7665839,7665873,4850281,2922717,2922716,4850276,4850305,7665892,11523932,16534475,22742299,22742403,22742402,22742433,16534643,16534458,16534457,22742276,22742282,16534568,16534569,11524782,11524781,7667443,7667442,7667546,7667545,7667421,7667422,11525592,16535596,11524997,11523833,11523832,16534300,22742137,22742198,22742142,16534303,11523758,11523759,16534307,22742146,22742251,16536523,16536524,16534237,16534238,11523897,7665855,4850269,4850268,7665853,11523894,16534430,11525574,11525576,16534624,11524121,7666101,4850472,4850471,7666093,11524105,16534597,22738757,16531525,16531526,16534372,22742206,22742084,22742085,22742385,16536383,11525586,11525587,16534379,11525003,7666958,4851192,4851193,7666965,11523798,7665804,7665805,11523804,11523779,7665794,7665793,11523773,16534333,22742168,22742182,22742099,16534245,16534244,11525560,7667398,7667397,11523674,11523673,16534192,22738775,16531536,16531537,16531531,16531529,16534585,11524099,11524098,16534581,16535425,22743252,30120969,22738745,22738746,30120973,30120811,30120810,38697704,38697705,43310159,38703705,38702595,30125849,22743442,16535590,11524993,11524992,16535586,22742416,22742415,22742191,22738625,16531414,16531413,22738622,22742162,30124493,22741959,268412785,38701416,30126986,22744448,22742157,22742043,16534188,16531454,16531455,22738666,30120868,30126186,30126185,30124805,22742375,16534576,16534577,22742379,30121095,38697963,38697842,38697840,30126124,30124992,30120805,30120806,26338081,19609520,14051375,14051376,19609526,26338090,30124519,37532763,28987969,22743436,22743437,30125844,256705342,38256337,38256336,30124576,22742037,22742038,30124579,38701476,30124817,256348119,28987970,37532764,30121052,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524909,16531313,16531314,22738483,30120660,38697519,46661228,36775706,36775708,30121310,30120741,30120743,38697666,38697990,30121293,22739051,22739052,21704324,21704322,28987890,22743671,16535733,16535732,16536468,16536467,16531350,16531349,16531271,11521429,11521428,16531269,22738423,30120556,30125521,29691039,29691037,38256371,29691005,29691003,22743112,22743110,30125524,30127059,22744526,16536459,11525674,11525675,16536462,22743351,22743350,30125771,30127042,30127043,38703741,46661220,36775699,28279619,28279618,30125718,38702479,48617233,41467165,32590187,24928707,24928706,32590181,41467159,38697477,38697479,38703777,30127071,22744538,22744537,22743331,22743330,30125744,38697438,30120538,30120539,38697439,38697890,36725594,36725595,46613127,46613115,38702535,30125765,30125764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7582845, s2 = 14162173, dlinesl.size( ) = 2 s1 = 7582845, s2 = 14162173, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7582845, Dl.E( ) = 16, 2.1e-05 seconds used appending s1 = 7845153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217555, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7912901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7859708, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 461018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13474281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13474281, s2 = 14073505, int(edited[s2]) = 0 s1 = 13474281, s2 = 14073505, d1 = 26, d2 = 11 Dl.O(d1) = 84516516,84516515,84516514,74005477 Dl.O(d2) = 4974953,3004967,1745248,1745247,3004965,4974949,7837393,11738713,11738712,16788371,20123995,20123996,21880421,21880422,21600630,21600631,28304196,21614265,21614264,23343591,30766805,39368418,255158808,29354867,37921846,254761008,20303753,20303754,27232855,22028671,267888548,27232891,20303782,16095135,16095137,255895795 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 315101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 315101, s2 = 7566361, int(edited[s2]) = 0 s1 = 315101, s2 = 7566361, d1 = 1, d2 = 68 Dl.O(d1) = 7842271 Dl.O(d2) = 268097575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 315101, s2 = 7566361, dlinesl.size( ) = 8 s1 = 1203339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6446793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7842824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7842824, s2 = 9701368, int(edited[s2]) = 0 s1 = 7842824, s2 = 9701368, d1 = 7, d2 = 7 Dl.O(d1) = 254887048,7091188,4464868,2682414,2269804,2269803,2682865,2682868,4465641,7092536,10734684,15521297,15521296,12049313,12049314,10486590,6914132,4342645,4342647,6914141,10486604,10494245,10494243,10031258,10031223,6592640,6592641,10031227,14577929,20313487,21536839,21536840,21498972,18946512,13509906,9243870,6054256,6054260,9243890,10713334,7077618,4455814,2676736,1550480,1550481,2676740,4455823,7077636,10713349,15492307,10734892,7092681,7092683,10734646,10734644,10734712,10713045,10713043,15491932,15492198,15492200,21499017,15515354,15203456,10730646,10730645,7090147,7090146,10730885,15515707,14578014,14578015,15514629,10730066,10730068,15514633,21527214,16927781,15521680,15521677,21536834,28803391,27150069,27150071,28758410,21499156,21499000,21499001,254736470,7077595,7077594,10713289,7092477,4465604,4465606,7092479,10734608,254283852,21529345,21537811,15522464,10735539,7093096,4465991,2683081,1554261,883703,883704,1553519,883295,883296,1553524,2681797,4463788,7089327,10729622,10729505,10729504,7089932,4464122,2681984,1553634,883355,498449,279545,154287,154292,279561,498491,254160215,2682160,4464402,254737939,268097749,4981989,7848396,9203447,255666669,23056325,30464754,39054597,48976483,60372694,259437867,86718094,100694230,104432181,90280752,76450531,76450530,255871130,41421687,32562080,32562079,41421685,51663457,63406010,51662539,41420595,41420597,32561145,257157311,41420489,32561814,24910338,18405280,13073177,13073176,18405278,24910335,32561807,41421448,41421449,41421450,51663269,63406537,63406535,63406536,76450406,90280636,104432091,100917559,86935897,86935898,92470403,106776254,105502361,91280256,91280257,105502362,119740740,123981394,109841887,95638498,81605743,256120324,44814315,35389617,35389618,255657528,46995848,55720809,55720810,68117136,81605744,95638500,109841888,123981395,137663292,150660655,162756611,150660656,260264878,261429004,186953007,177672184,167173049,155540534 Dl.O(d2) = 254887048,7091188,4464868,2682414,2269804,2269803,2682865,2682868,4465641,7092536,10734684,15521297,15521296,12049313,12049314,10486590,6914132,4342645,4342647,6914141,10486604,10494245,10494243,10031258,10031223,6592640,6592641,10031227,14577929,20313487,21536839,21536840,21498972,18946512,13509906,9243870,6054256,6054260,9243890,10713334,7077618,4455814,2676736,1550480,1550481,2676740,4455823,7077636,10713349,15492307,10734892,7092681,7092683,10734646,10734644,10734712,10713045,10713043,15491932,15492198,15492200,21499017,15515354,15203456,10730646,10730645,7090147,7090146,10730885,15515707,14578014,14578015,15514629,10730066,10730068,15514633,21527214,16927781,15521680,15521677,21536834,28803391,27150069,27150071,28758410,21499156,21499000,21499001,254736470,7077595,7077594,10713289,7092477,4465604,4465606,7092479,10734608,254283852,21529345,21537811,15522464,10735539,7093096,4465991,2683081,1554261,883703,883704,1553519,883295,883296,1553524,2681797,4463788,7089327,10729622,10729505,10729504,7089932,4464122,2681984,1553634,883355,498449,279545,154287,154292,279561,498491,254160215,2682160,4464402,254737939,268097749,4981989,7848396,9203447,255666669,23056325,30464754,39054597,48976483,60372694,259437867,86718094,100694230,104432181,90280752,76450531,76450530,255871130,41421687,32562080,32562079,41421685,51663457,63406010,51662539,41420595,41420597,32561145,257157311,41420489,32561814,24910338,18405280,13073177,13073176,18405278,24910335,32561807,41421448,41421449,41421450,51663269,63406537,63406535,63406536,76450406,90280636,104432091,100917559,86935897,86935898,92470403,106776254,105502361,91280256,91280257,105502362,119740740,123981394,109841887,95638498,81605743,256120324,44814315,35389617,35389618,255657528,46995848,55720809,55720810,68117136,81605744,95638500,109841888,123981395,137663292,150660655,162756611,150660656,260264878,261429004,186953007,177672184,167173049,155540534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7842824, s2 = 9701368, dlinesl.size( ) = 2 s1 = 7842824, s2 = 9701368, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7842824, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6473197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 315323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7882635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 315750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 209941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1343348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1343348, s2 = 952502, int(edited[s2]) = 0 s1 = 1343348, s2 = 952502, d1 = 10, d2 = 15 Dl.O(d1) = 33748053,42779124,40381944,31688213,24195361,17826123,12621669,12621670,17826124,254416588,31587606,24104495,17745971,17745973,267773420,23031903,16789031,12579682,8532843,5530933,5530932,8532842,12556347,254137498,31606692,30565566,23148329,16887780,11816643,7894653 Dl.O(d2) = 24092261,31595797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6465319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 317664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655648, s2 = 8186769, int(edited[s2]) = 0 s1 = 11655648, s2 = 8186769, d1 = 0, d2 = 13 Dl.O(d1) = 170540101,180673325,189572666,180673326,170540103,170540102,273442695,197262823,203822890,264176168 Dl.O(d2) = 197262826,263493558,170540103,159199770,146825276,261096300,7351186,4643423,4643422,7351184,11085404,14238208,14238207,15742787,21803304,19875536,14240372,14240371,19875534,19864501,14231910,9783430,9783431,14231911,19864503,17197316,17197317,23480375,30917354,26703928,19882804,19882806,26703933,29406633,254864280,18185008,18185009,24641267,24699107,32031762,24469492,18049473,12795429,8699239,5662401,5662399,8699237,12795423,18049456,268330753,43941866,54683488,43940817,34666676,26673539,255846900,39025521,34667486,34667485,41976339,41976338,43941632,34667479,26674302,19857165,14226361,14226362,19857168,19089072,13628748,9332338,6112958,3824837,3824836,6112952,9332326,13628720,18589151,25144865,32744599,25053926,25053923,32744596,37628034,29077308,25677867,22114701,22114697,29448226,38010499,37405872,37405871,37634520,44407772,39726825,31047922,31047923,29436345,28311214,21101083,21101082,28311211,23277233,23277232,30691969,39289214,30691960,30691961,30830769,23402675,17129878,17129877,21325539,17233704,12115039,12115040,17233707,23541968,25825644,33627586,25947998,25947997,24326166,24326167,24939311,28352627,36850243,40550284,31852020,24332026,17943479,12714899,12714900,17943481,24332029,31852024,34676378,34676377,43951163,43951162,44753401,39207136,30610961,23191374,16924539,11845248,7916808,7916809,11845250,16924543,23191379,30610967,31727715,31727716,32478488,31021734,26140595,19443878,13913751,13153289,13153291,18512726,18512725,16918896,16918895,16918894,23184536,30603413,31852027,39727212,255992948,74006843,81151267,67685501,55345826,48521861,38606878,30033115,22658424,255106295,7630526,4827643,4827645,7630528,11471877,16464812,22658433,30033128,38422366,268397830,1669459,2876067,4771120,7543103,11352571,16317507,22490543,16317442,11352527,7543084,4771111,2876063,2876064,4771116,7543097,9966417,254348468,4826486,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356713,22473094,22473092,29840570,38412761,37921038,29928297,22567910,16387172,11405236,7578949,7578948,7578978,11405296,16387268,255046254,15105176,10418384,6868012,4310556,2577531,1484636,1484635,2577529,4310552,6868002,6891769,10455212,15160542,254586134,7578935,7578934,11405202,16387121,22567852,29928236,36798747,36798745,28719869,28719870,22320221,22320222,29671480,24115366,24115365,28301861,21093166,15151225,15151226,21093169,22229405,28315956,23761556,17433861,17433862,23008819,28301851,28301850,25485298,25485297,255194206,256008756,38749397,38749398,48056669,48333675,39732505,31054575,23571333,17260243,12140095,8169540,8169543,12140104,17260259,17699374,17699372,24053159,28304695,21095579,21095580,22963016,22963015,20962081,20962079,28140138,28300471,21092047,21092045,28300462,36797397,28300095,21091757,21091756,28300089,36797370,46683082,36799270,28302315,23762108,17434528,17434527,23762105,31246457,28300433,28300434,21092940,15151081,10449167,10449166,15150326,10448755,6888176,4324348,4324349,6888180,10448766,15150345,15150793,10449012,6888306,6888307,10449015,15150799,21092520,28300503,28299666,21091430,15150129,254719555,6888112,10448640,15150131,21091433,28299669,30224714,25090404,18544893,13176760,13176761,18544900,25090415,28304601,36801268,36613767,36613768,38236700,38236702,30302079,22903180,16672125,16672124,18544837,13176728,8982032,5864012,3660974,3660975,5864017,8982046,13176754,18544881,255049264,27233721,20304450,14571352,10026852,6589853,6589852,10026850,14571349,20304443,18543281,13175781,8981495,5863759,3660854,2190302,2190301,3660851,5863755,8981489,13175770,18543261,25088342,21754974,15700946,10869082,7186313,7186314,10869084,15700950,21754980,29048545,25088214,18543171,13175713,8981458,5863737,5863735,8981452,13175701,10588627,10588626,15331091,21298721,28519601,32786492,41702454,32788269,32788270,31096151,23612340,17299330,17299329,17299331,23612341,31096153,39774422,46408048,36546528,36546527,28364652,21148679,21148677,28364643,28891484,28364620,21148665,21102345,15157994,15157991,21102334,21455500,15456531,15456533,21455509,28271437,28271435,21614624,21614622,28890743,28868795,22793702,21792501,15733959,10897144,10897145,15733966,15141786,15141789,21079913,23360691,23049720,21634309,15602765,15602764,21634303,21615681,21615679,17782385,17782384,24149361,28888640,21615266,21615267,254741544,47340644,269336304,28574042,259297303,112523447,262651671,263853713,263646860,273714959 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 318080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 318080, s2 = 912817, int(edited[s2]) = 0 s1 = 318080, s2 = 912817, d1 = 4, d2 = 5 Dl.O(d1) = 7920328 Dl.O(d2) = 23201418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 318080, s2 = 912817, dlinesl.size( ) = 2 s1 = 318080, s2 = 912817, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 318080, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 10144574, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 191065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7983169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 320501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 320501, s2 = 6598802, int(edited[s2]) = 0 s1 = 320501, s2 = 6598802, d1 = 0, d2 = 3 Dl.O(d1) = 7996786 Dl.O(d2) = 256398999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 320501, s2 = 6598802, dlinesl.size( ) = 2 s1 = 320501, s2 = 6598802, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 320501, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 8060596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8060596, s2 = 16175652, int(edited[s2]) = 0 s1 = 8060596, s2 = 16175652, d1 = 0, d2 = 0 Dl.O(d1) = 17520928,17520573,17520575,17521092,12355580,8347767,8347770,12355584,268112035,12354612,268255805,12355643,12355642,17519836,17519835,17519563,12354297,8346781,8346782,8346877,8346876,8347439,8347438,12355164,17520073,12355017,8347586,5387760,5387420,5387419,8347021,12354658,17519597,12354343,8346813,5387292,3312761,3312763,5387294,8346816,12354347,17519602,12355602,12355601,12355647,12355356,254851029,5387748,5387749,8347574,8346921,5387355,3312800,1948935,1113378,624802,624801,1113375,1948930,3312788,5387334,8346885,8347297,5387581,3312929,3312930,5387538,3312899,1948984,1113402,624815,624816,1113404,1948987,3312908,5387550,5975505,3736965,2237396,1297539,1297541,2237400,3736973,5975523,8347306,5387651,3312968,3312969,5387656,8347279,12354898,8347212,8347213,5387600,3312937,1949001,1949002,3312940,5387604,8347341,12354880,12354882,12354784,12354781,17520104,17520107,12355261,8347503,5387711,3313005,1949043,1949042,3313001,5387544,8347162,8347161,8347325,12355049,255565781,23864265,17520134,12354796,12354798,13360865,13360866,18763047,23864338,17520194,12354837,8347165,8347164,9131149,11292495,11292496,15093921,10410182,10410183,15093926,12355312,8347541,5387732,5387731,8347538,12355309,12354890,12354889,17520150,17520727,12355274,8347509,8347508,12355270,12355215,8347473,8347474,12355219,12355253,17520710,17520158,12354812,12354814,17520160,17520477,17520476,23864227,23864226,17520128,12355201,12355202,13360860,13360859,18763042,16242847,11292483,7497494,4739416,2856372,2856373,4739420,7497501,11292504,16242871,21015607,16242816,16242817,17520771,17520763,12355305,12355306,17520768,23864937,17520695,12355243,12355244,12355324,8347553,5387737,5387736,8347550,12355194,12355193,17520626,23864294,23864293,23864944,22405361,16242882,16242884,17520632,23864873,31358702,33073655,31358125,23864986,22405273,22405274,23864876,23864318,17520177,12354829,11292488,11292487,16242838,11292478,8347530,5387727,5387726,8347526,12355289,12355288,17520741,23864990,29768271,23864984,23864985,23865013,23865020,23865022,23343360,23343359,23864935,28239157,28239159,29768274,23865171,17520899,17520900,17520618,17520619,17520609,17520608,23864850,31358799,40038129,31358817,23864883,17520643,17520642,17520183,12354831,12354832,17520185,22405271,22405270,29768265,23863899,22405302,16242831,16242832,16242852,22405327,22405307,17520756,17520757,22405353,16242877,16242878,22405357,29768351,31358884,40038871,48250054,38339370,38339371,40037708,31358957,23864995,23864994,29891273,31359001,38448060,48250031,40037731,31357820,23863957,17519780,17519779,17519785,23863961,31357826,40037735,46826016,36948102,28448097,28448098,31358813,40038134,40038131,40038874,40037679,31357780,23863922,17519742,12354434,12354432,17519736,23863911,31357764,256949625,33073641,33073642,40038964,48250122,38339448,38339446,38339416,29768330,22405331,22405328,29768325,31358844,40038816,37631097,37631099,36949032,36949031,46827047,47832969,37911201,29342098,29342097,35309360,256761265,55626676,59230729,59230740,58917639,47833027,47833026,58871202,58871203,59230676,47832933,47832934,50057193,50057192,61535996,61537242,257083792,58917597,47536692,47536691,58192114,46826174,46826175,50057746,53181497,50058875,40039397,31359375,23865372,23865371,31359373,25896563,19236365,19236367,25896567,33702720,42732292,40038200,40038199,36948305,36948306,29342061,22010148,22010149,29342067,37911149,36948417,36948416,46826315,58192211,65166098,53181492,42732312,34630286,34630284,43902846,50057713,50057712,58192150,46826221,46826220,42732114,40039419,40039418,36948272,36948273,46826179,46826463,40038241,31358274,31358243,31358244,40038213,50057707,58192189,46826295,36948393,36948394,36948422,28448352,28448354,31359393,23865380,23865379,31359388,40039415,36948314,28448262,28448263,31358204,31358203,39064909,46826366,47832907,46826250,36948331,28448271,28448270,36948326,33702538,25896579,19236374,13743409,13743411,19236382,25896587,33702743,42732331,53181370,42732109,36948275,28448230,21221832,15252476,15252478,21221838,28448240,23864393,23864394,31358280,31358297,31358189,31358191,31358290,31358291,40038260,42732190,47490099,37585096,37585098,37757248,47679479,40038805,31358830,31358829,28448394,21221945,15252532,15252534,21221953,17495476,17495477,23834411,31325075,37650831,33702668,33702667,36948286,33702620,33702621,25896554,25896553,28448423,21221969,15252543,15252510,10522548,6939610,4361003,4361004,6939615,10522557,15252529,21221938,21745427,21745425,23864418,17520247,17520217,17520218,23864378,31358256,25896548,25896547,28448234,36948284,37585094,37585093,33702587,33702586,36948508,36948507,42732181,40003063,256845358,40003066,42732228,257234427,257425009,61536365,53181439,47662095,46826298,36948400,28448330,28448331,31325238,23834528,17495548,17495550,23834532,28448324,28448293,28448294,28448347,25896479,19236320,13743385,13743384,19236317,19236352,25896457,19236305,19236304,25896453,33702577,31325044,31325043,28448340,28448341,268504739,25896436,33702553,36947800,33702629,25896494,19236327,19236328,23834418,23834417,31325086,257067031,40002979,31325141,23834461,23834460,31325138,36948126,268914377,37714619,37714610,29154014,21845379,21845375,29154002,37714594,38390221,38390222,38922427,30336220,28448038,28448037,36947786,28448452,21221987,15252552,10522567,6939620,6939619,10522566,15252551,21221985,28448449,29817619,29817618,36949019,46827031,46826071,36948161,28448151,28448152,36948163,31325294,23834569,17495573,17495574,13436638,13436635,18858826,25458290,28448891,36949060,46827079,58193060,70905798,84462031,269307808,70802287,58085447,46713693,36831139,28334706,28334705,25831062,19178523,13695518,9379414,9379413,13695517,13695461,9379380,6144441,6144442,9379382,13695466,19178450,17043969,11956833,11956832,17043966,23304698,17888777,17888779,24267589,31780106,38938947,38938946,36382891,27938602,27938601,256802689,49247119,49247117,43315468,43315469,42663162,33633835,33633780,25831209,25831208,33633904,42663174,42663117,33633715,25831033,25831032,256477667,30727171,25831201,19178534,254938751,6144457,3844756,2303804,2303805,3844760,6144460,9379374,13695449,19178416,14056186,9665487,9665486,14056182,19615227,21573071,15550150,15550152,21573081,28844712,34217568,26343994,20785288,14897335,14897331,20785277,25830990,19178537,19178538,19178358,19178359,25830989,33633673,256241396,254988158,10596410,6990594,6990595,6990577,4392871,2632115,267763891,861749,1519853,2632121,4392881,2632132,1519858,1519859,2632133,4392904,6990637,10596481,11956854,8004274,5095764,3093088,3093087,5095762,255142997,255976105,30722224,39320365,49247157,256059366,73394270,75385993,62470173,50872185,40757485,32002576,24443529,18027458,12777616,12777615 Dl.O(d2) = 17520928,17520573,17520575,17521092,12355580,8347767,8347770,12355584,268112035,12354612,268255805,12355643,12355642,17519836,17519835,17519563,12354297,8346781,8346782,8346877,8346876,8347439,8347438,12355164,17520073,12355017,8347586,5387760,5387420,5387419,8347021,12354658,17519597,12354343,8346813,5387292,3312761,3312763,5387294,8346816,12354347,17519602,12355602,12355601,12355647,12355356,254851029,5387748,5387749,8347574,8346921,5387355,3312800,1948935,1113378,624802,624801,1113375,1948930,3312788,5387334,8346885,8347297,5387581,3312929,3312930,5387538,3312899,1948984,1113402,624815,624816,1113404,1948987,3312908,5387550,5975505,3736965,2237396,1297539,1297541,2237400,3736973,5975523,8347306,5387651,3312968,3312969,5387656,8347279,12354898,8347212,8347213,5387600,3312937,1949001,1949002,3312940,5387604,8347341,12354880,12354882,12354784,12354781,17520104,17520107,12355261,8347503,5387711,3313005,1949043,1949042,3313001,5387544,8347162,8347161,8347325,12355049,255565781,23864265,17520134,12354796,12354798,13360865,13360866,18763047,23864338,17520194,12354837,8347165,8347164,9131149,11292495,11292496,15093921,10410182,10410183,15093926,12355312,8347541,5387732,5387731,8347538,12355309,12354890,12354889,17520150,17520727,12355274,8347509,8347508,12355270,12355215,8347473,8347474,12355219,12355253,17520710,17520158,12354812,12354814,17520160,17520477,17520476,23864227,23864226,17520128,12355201,12355202,13360860,13360859,18763042,16242847,11292483,7497494,4739416,2856372,2856373,4739420,7497501,11292504,16242871,21015607,16242816,16242817,17520771,17520763,12355305,12355306,17520768,23864937,17520695,12355243,12355244,12355324,8347553,5387737,5387736,8347550,12355194,12355193,17520626,23864294,23864293,23864944,22405361,16242882,16242884,17520632,23864873,31358702,33073655,31358125,23864986,22405273,22405274,23864876,23864318,17520177,12354829,11292488,11292487,16242838,11292478,8347530,5387727,5387726,8347526,12355289,12355288,17520741,23864990,29768271,23864984,23864985,23865013,23865020,23865022,23343360,23343359,23864935,28239157,28239159,29768274,23865171,17520899,17520900,17520618,17520619,17520609,17520608,23864850,31358799,40038129,31358817,23864883,17520643,17520642,17520183,12354831,12354832,17520185,22405271,22405270,29768265,23863899,22405302,16242831,16242832,16242852,22405327,22405307,17520756,17520757,22405353,16242877,16242878,22405357,29768351,31358884,40038871,48250054,38339370,38339371,40037708,31358957,23864995,23864994,29891273,31359001,38448060,48250031,40037731,31357820,23863957,17519780,17519779,17519785,23863961,31357826,40037735,46826016,36948102,28448097,28448098,31358813,40038134,40038131,40038874,40037679,31357780,23863922,17519742,12354434,12354432,17519736,23863911,31357764,256949625,33073641,33073642,40038964,48250122,38339448,38339446,38339416,29768330,22405331,22405328,29768325,31358844,40038816,37631097,37631099,36949032,36949031,46827047,47832969,37911201,29342098,29342097,35309360,256761265,55626676,59230729,59230740,58917639,47833027,47833026,58871202,58871203,59230676,47832933,47832934,50057193,50057192,61535996,61537242,257083792,58917597,47536692,47536691,58192114,46826174,46826175,50057746,53181497,50058875,40039397,31359375,23865372,23865371,31359373,25896563,19236365,19236367,25896567,33702720,42732292,40038200,40038199,36948305,36948306,29342061,22010148,22010149,29342067,37911149,36948417,36948416,46826315,58192211,65166098,53181492,42732312,34630286,34630284,43902846,50057713,50057712,58192150,46826221,46826220,42732114,40039419,40039418,36948272,36948273,46826179,46826463,40038241,31358274,31358243,31358244,40038213,50057707,58192189,46826295,36948393,36948394,36948422,28448352,28448354,31359393,23865380,23865379,31359388,40039415,36948314,28448262,28448263,31358204,31358203,39064909,46826366,47832907,46826250,36948331,28448271,28448270,36948326,33702538,25896579,19236374,13743409,13743411,19236382,25896587,33702743,42732331,53181370,42732109,36948275,28448230,21221832,15252476,15252478,21221838,28448240,23864393,23864394,31358280,31358297,31358189,31358191,31358290,31358291,40038260,42732190,47490099,37585096,37585098,37757248,47679479,40038805,31358830,31358829,28448394,21221945,15252532,15252534,21221953,17495476,17495477,23834411,31325075,37650831,33702668,33702667,36948286,33702620,33702621,25896554,25896553,28448423,21221969,15252543,15252510,10522548,6939610,4361003,4361004,6939615,10522557,15252529,21221938,21745427,21745425,23864418,17520247,17520217,17520218,23864378,31358256,25896548,25896547,28448234,36948284,37585094,37585093,33702587,33702586,36948508,36948507,42732181,40003063,256845358,40003066,42732228,257234427,257425009,61536365,53181439,47662095,46826298,36948400,28448330,28448331,31325238,23834528,17495548,17495550,23834532,28448324,28448293,28448294,28448347,25896479,19236320,13743385,13743384,19236317,19236352,25896457,19236305,19236304,25896453,33702577,31325044,31325043,28448340,28448341,268504739,25896436,33702553,36947800,33702629,25896494,19236327,19236328,23834418,23834417,31325086,257067031,40002979,31325141,23834461,23834460,31325138,36948126,268914377,37714619,37714610,29154014,21845379,21845375,29154002,37714594,38390221,38390222,38922427,30336220,28448038,28448037,36947786,28448452,21221987,15252552,10522567,6939620,6939619,10522566,15252551,21221985,28448449,29817619,29817618,36949019,46827031,46826071,36948161,28448151,28448152,36948163,31325294,23834569,17495573,17495574,13436638,13436635,18858826,25458290,28448891,36949060,46827079,58193060,70905798,84462031,269307808,70802287,58085447,46713693,36831139,28334706,28334705,25831062,19178523,13695518,9379414,9379413,13695517,13695461,9379380,6144441,6144442,9379382,13695466,19178450,17043969,11956833,11956832,17043966,23304698,17888777,17888779,24267589,31780106,38938947,38938946,36382891,27938602,27938601,256802689,49247119,49247117,43315468,43315469,42663162,33633835,33633780,25831209,25831208,33633904,42663174,42663117,33633715,25831033,25831032,256477667,30727171,25831201,19178534,254938751,6144457,3844756,2303804,2303805,3844760,6144460,9379374,13695449,19178416,14056186,9665487,9665486,14056182,19615227,21573071,15550150,15550152,21573081,28844712,34217568,26343994,20785288,14897335,14897331,20785277,25830990,19178537,19178538,19178358,19178359,25830989,33633673,256241396,254988158,10596410,6990594,6990595,6990577,4392871,2632115,267763891,861749,1519853,2632121,4392881,2632132,1519858,1519859,2632133,4392904,6990637,10596481,11956854,8004274,5095764,3093088,3093087,5095762,255142997,255976105,30722224,39320365,49247157,256059366,73394270,75385993,62470173,50872185,40757485,32002576,24443529,18027458,12777616,12777615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8060596, s2 = 16175652, dlinesl.size( ) = 2 s1 = 8060596, s2 = 16175652, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8060596, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 320778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10149579, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 321530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6436979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 668708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13252259, s2 = 4884414, int(edited[s2]) = 0 s1 = 13252259, s2 = 4884414, d1 = 44, d2 = 56 Dl.O(d1) = 5137013,5137011 Dl.O(d2) = 201117458,201117459,207059792,211963237,264273136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13252259, s2 = 4884414, dlinesl.size( ) = 2 s1 = 13252259, s2 = 4884414, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13252259, Dl.E( ) = 68, 2.69e-05 seconds used appending s1 = 8155884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8155884, s2 = 6606467, int(edited[s2]) = 0 s1 = 8155884, s2 = 6606467, d1 = 0, d2 = 12 Dl.O(d1) = 33481412 Dl.O(d2) = 16066866,11156266,7399794,7399795,11156274,11156280,16066887,19080918,13622586,9328046,9328048,13622593,19080933,22860443,30255666,37194421,28672266,21424857,15433031,10669169,7046542,4434880,4434882,7046556,10669190,15433058,19080819,25707836,28672325,25707766,19080775,19080776,22860911,30256199,33480948,25707426,19080548,13622346,13622344,19080492,16633605,11602952,11602951,16633599,22859290,28836914,21565363,15543287,15543286,12090924,8131006,8131005,12090919,13465764,9208144,6028237,6028235,9208136,13465717,18897216,16655343,11622951,11622952,16655392,16655391,16634163,11603288,7724287,7724286,11603282,16634149,22860522,30254761,22859621,16633480,16633478,22169509,29510502,30254711,22859589,16634105,16634106,15678376,13622323,9327905,6110200,6110198,7724051,4889112,4889113,7724057,11602925,16633556,22859720,21723308,15678433,10854254,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603270,16454562,22169485,16046002,16046005,13622355,13622354,19080569,22860131,16633845,11603113,11603114,15062587,15062588,20972988,16634007,11603210,7724248,4889213,2946298,1708717,971276,547018,547017,971271,1708707,2946281,4889163,7724156,9327846,6110186,6110187,9327872,13622255,11141574,11141575,14190674,12001141,8054538,5145393,3130528,254177989,587960,328213,328214,587961,1044523,1830091,3130548,5145425,3143413,3143414,3143406,3143405,254571311,255140942,5104163,3118049,3118050,3150400,1843167,1843165,3150397,5155331,8062548,8029978,5119083,3109619,1817104,1037555,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591190,1051101,1841814,1841816,1816567,1816570,1848447,3157911,5107008,3104106,1843687,1843691,3151262,5106165,5110468,5226835,5108894,3101971,1812412,1812411,3101951,5038486,5038488,5150579,3134924,3134921,5150566,5174722,5138246,3124730,3124731,5138243,5138244,8044656,11975439,11985875,8053136,8053137,8067028,8067029,8021000,5172595,3154225,3154227,5172599,5172606,3154245,2867971,2867970,4758320,7524771,11328328,8020272,5168975,3151053,1843543,1843542,3151048,3156737,5103701,5103702,4836136,2914075,2914077,1817790,1037899,1037900,585375,585372,1039401,1811453,1811456,3100382,254525973,2819361,1635644,930110,930109,1635643,2819358,4679658,254562658,3106654,254314451,1404925,1404926,1823341,3119742,5131804,8041414,8163442,6475388,4057858,2428804,1404983,799558,453186,453185,799554,1404971,1821425,2428816,4057879,6475423,9856904,9856903,9857689,14347574,17087478,17087477,23337366,17071206,11982606,11982605,11686551,11686550,12126268,8158134,5229106,3190894,3190891,2428902,2428903,4058041,6475656,9858094,9857397,9857398,9857427,6475110,6475111,9857442,7793768,4941678,4941679,254369460,16721354,254552794,14438279,14438280,20031328,16722279,11680645,7788866,4938298,2979886,2979889,4938305,7788871,11680656,11633446,11633445,16667638,16721775,16721774,22952191,30297874,22899517,16669137,11634683,11634684,16669139,22088462,22088461,16668677,16668678,22899053,20031190,254552334,6475779,4058096,4058097,2958466,2958467,4908341,5046695,3057041,3057042,5046703,7936335,11872815,16668397,22898307,22950858,22950859,30352530,255508522,30672424,30672425,254553300,22950716,22950715,30296621,30296622,255125682,11997488,11997491,17085088,22970009,22970008,30371548,30355182,30355181,30756084,26914832,26914831,34996164,34996149,26914806,26914807,254565106,11971288,8015313,5103648,3098092,254380861,4761803,7528627,11331317,11990373,11329407,7526219,7526218,11329405,16286959,12018849,254254544,3154664,3154665,5154629,3138436,3138435,5154627,7964756,5067109,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5172485,7970812,11915734,10847266,10847267,15665427,15665426,15571079,15571081,267836662,12687517,8618349,8618348,12687515,15574934,10773782,10773783,15574938,21602530,22454064,16285071,16285070,17024723,17024724,16990888,11905629,7963185,7963184,254254882,3153927,1845512,1053159,1053158,1845509,1845517,1845518,3153934,4481364,2692560,2692561,4481369,7117498,7970683,7970684,10770295,10770294,11907199,7964309,7964310,7972855,11915590,15572210,15572209,15570920,15570921,21598669,23372038,22453314,16284107,12687376,12687375,11912389,7968465,7968466,11912392,12017586,11943845,7994418,7994419,11327320,11327321,11939491,8000346,5092974,5092976,8000350,6800021,4264307,2549505,1468661,1468662,2549508,3154139,3054552,1779814,1014829,1014827,1559830,2692448,4481168,7117272,10771861,10771803,7117233,7117232,7963934,7963930,5066401,5066402,7963938,7117491,5070511,3074059,3074057,5070506,7523455,7523454,11327324,254253738,254818532,256474569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8155884, s2 = 6606467, dlinesl.size( ) = 2 s1 = 8155884, s2 = 6606467, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8155884, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 13176121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9415101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 200535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 200535, s2 = 15169399, int(edited[s2]) = 0 s1 = 200535, s2 = 15169399, d1 = 31, d2 = 29 Dl.O(d1) = 4758899,3135888,3135889,4757286,2867301,1837156,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314636,561873,590138,1048999,1838164 Dl.O(d2) = 17068028,17068029,11998648,8051462,8051463,11971229,11971230,11983719,12006459,254824287,5146533,3131369,3131368,5146531,7525955,8049571,5140101,5140098,254380242,1021279,1021283,1790798,3071043,5042235,5042234,7931295,11866768,7964633,5075308,3077757,1795833,1024630,577374,323044,323041,577384,1024654,1795885,2819216,4679475,7406564,5131722,3119697,3119695,3119703,3119705,5041094,5041093,7169118,7169117,10844692,12018262,12018263,11943829,7994402,7994404,11943833,8022029,5110852,5110853,7168828,4515040,4515041,7168831,10844304,15665308,16285403,16285404,22454272,22213436,16081952,11168449,11168450,11936059,7988193,7988192,11936057,17020320,23278836,29108833,23859685,23859683,25960795,21154327,21154326,17516346,17516345,21149814,25256005,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,21154208,15198837,10482962,6911378,4340608,4340609,6911381,10482969,15198849,16949447,16949445,21153990,15198692,15198693,21153994,28370962,23222755,23222757,23676844,17356737,12227067,8255232,8255222,5325530,5325531,8255227,12227053,17356712,21152461,28369325,31353275,31353277,39241990,39846982,31165102,23676809,23676808,31165097,36865862,36867762,36867763,39846486,31164450,31164448,36866334,39846265,31163946,23675501,17355685,17355686,23222521,16949426,11862427,7927832,7927831,11862424,16949421,23222513,17356205,17356206,23676085,30642952,36867166,28370048,21153125,21153123,28370046,36867162,30645757,23223512,16950309,11863022,7928161,7928160,11863020,16950305,16947464,11861143,11861142,16947461,23220334,23222917,30641359,30641358,29413270,29413269 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7808650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1497841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7901599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7988008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9069118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6466285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7860547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 927218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343015, s2 = 217082, int(edited[s2]) = 0 s1 = 10343015, s2 = 217082, d1 = 26, d2 = 32 Dl.O(d1) = 268419150 Dl.O(d2) = 4628199,7327283,5203269,5203270,3241990,3241991,4604720,2787083,1616833,919645,919646,1616839,2787092,4627215,5394873,3317408,3317409,2782394,1613960,918042,517834,517835,918047,1613854,1613853,1883379,1883378,3214879,3183715,3183716,5219103,5282414,5269186,3223898,3223895,3235672,5282468,7304110,5245935,5245933,7307441,11032788,8148176,7315687,4618012,4618011,7314870,4617411,2780365,1612894,917523,517601,517602,917525,254233557,4617429,5302697,8230988,7321141,254760415,4618550,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,4512918,7165356,8168072,5237581,3197173,3197171,5237578,7824633,4966287,254248235,1742002,2999544,4966288,7824636,5218636,3183422,3183421,254577075,7827274,255091247,22389510,23004202,16764559,11717047,8148548,5220364,3184528,3184530,5220371,4964679,254554445,11720609,16071126,11617318,8453903,8453904,12483421,16765130,268238015,29348953,256412776,21519084,15507908,15507907,17238130,255096558,5289223,3240818,3240819,2779069,2779068,4615123,7311837,11028786,8152456,5223559,3186535,3186536,5223562,8152460,255147264,8224078,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740965,254370665,1974971,1127479,1127478,1920440,1097062,615846,615847,1097065,1655571,254238673,4734544,5278101,3231887,1895494,1895495,3231889,5278104,7815691,4958265,3243010,3195175,1870329,1870330,1076870,604851,336676,336679,604860,1076887,1887441,3220710,5265833,4629310,3206116,3206117,3245021,3242120,3242119,3235079,3235078,1918689,1918691,3264513,2774106,2774107,3267032,1920496,1097098,1097099,1920503,3250241,1915572,1094038,1094039,1089407,1089408,1908018,1908712,1089893,988943,556365,311133,172000,94622,94623,172009,311155,556401,989018,1740426,2993271,4957878,5299433,3267364,1920744,1097237,1097235,1920739,1900597,1084877,987724,987725,1083007,1083008,1897389,3234558,5279261,5279262,3239987,3239986,5288319,7301935,5263055,5263054,3241841,3214947,1897357,1897356,3231712,4961788,4961789,7328089,7328091,7328071,7328072,11032847,7307524,4611535,2776555,2776556,4611536,4611570,7307557,7300244,254346585,914219,605651,337048,337049,605659,1078368,1889834,3224023,5242542,3201329,3201331,3267584,1920923,1097339,615984,615983,1097334,1920913,1922881,1098529,1098527,1661464,1078523,605741,605742,1078529,1876645,1070944,1070941,914814,914813,1608015,2772507,4606475,7302053,5273043,3227349,3227348,5273039,7084895,267891339,2845039,2845040,2984445,2984447,267984163,8575167,9959028,8564845,8564844,6271493,6271492,9557535,13924286,19456830,258915994,4126265,6585963,10020398,14561998,14561999,19814674,14193396,9757165,6415622,6415623,6744863,6415732,6415729,6415754,6415757,9757418,14193724,19814951,254714146,21619461,21619460,254575528,255358109,12772807,8682003,8682001,12772808,11541963,11541929,11541928,256435745,48668232,259417183 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7563705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7563705, s2 = 11359656, int(edited[s2]) = 0 s1 = 7563705, s2 = 11359656, d1 = 36, d2 = 34 Dl.O(d1) = 268034252 Dl.O(d2) = 260648562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7563705, s2 = 11359656, dlinesl.size( ) = 32 s1 = 11655550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655550, s2 = 10342399, int(edited[s2]) = 0 s1 = 11655550, s2 = 10342399, d1 = 19, d2 = 17 Dl.O(d1) = 271051306,98808032,98808031,257728496,64779804,64779805,70774455,58056418,46682120,36796110,28298880,255379835,256296735,46682117,58056416,49943936,39926259,268954612,12292009,8301640,5355674,3291711,3291713,5355661,254845953,7511312,4748106,2861465,1660703,1660702,2861462,4748103,4746629,2860581,1660223,944686,532850,532851,944689,1660229,254356381,4746636,4746635,4747478,7306978,4611122,4611121,7306973,10837913,7164343,7164346,7164696,4512497,2711517,2711515,1660482,1660483,1637028,930839,893061,503910,282591,156083,156078,282573,503861,892968,1570568,2711088,4511730,7163488,10836814,7390419,4668840,254524725,10836853,15656050,13460507,10793394,7131035,7131036,10793395,15601889,21633113,15612740,10801984,7137354,4493541,2699690,1563947,1563949,1563941,1563934,1563935,2699673,4493511,7137305,7316951,11042376,8233565,5305641,5305637,8233553,12202071,15924932,15908880,11030174,8357604,5394429,5394430,5272575,3226948,1891975,1079653,1079649,1863962,3185097,5221320,5252731,3209757,3209761,5252748,7319768,4748394,2861653,2861652,1878853,1071870,1071868,1863407,3184010,2783145,1614365,1614364,2783142,4621809,7320154,7826083,4967336,4967335,7826081,11723634,11723638,7826084,7823268,4965135,4965134,7823266,11720974,12188353,12188354,15917474,254760203,4616857,2780100,2780099,4616856,7314011,11039627,15917471,12169061,8201016,8201017,255159993,12138142,8168159,8167853,5237371,3197062,1871462,1871461,3197058,5237365,4655493,3197168,1871503,1871502,3197164,5237558,4676146,3202134,3202135,5243506,267907971,3260715,1915987,1094287,614341,341550,341551,341670,341668,334507,184004,184007,334522,600506,254262207 Dl.O(d2) = 27063934,35149771,44526261,55372381,67712145,257664233,23994680,17650659,12479641,8450481,5458631,5458632,8450483,12479645,17650663,23994683,28597646,28597647,28625287,21387533,21387534,28625289,37138137,40177598,33097854,25364258,18781375,13376572,269809282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655550, s2 = 10342399, dlinesl.size( ) = 20 s1 = 192759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7976912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154293, s2 = 585272, int(edited[s2]) = 0 s1 = 10154293, s2 = 585272, d1 = 54, d2 = 11 Dl.O(d1) = 29643972,22291963 Dl.O(d2) = 15177583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10154293, s2 = 585272, dlinesl.size( ) = 2 s1 = 10154293, s2 = 585272, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10154293, Dl.E( ) = 68, 2.91e-05 seconds used appending s1 = 14489397, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7871679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8049910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1681697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13239779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13239779, s2 = 15157634, int(edited[s2]) = 0 s1 = 13239779, s2 = 15157634, d1 = 7, d2 = 12 Dl.O(d1) = 7195855,4533400,2725111,2725112,4533402,7195858 Dl.O(d2) = 5376312,8330178,11279482,9898037,6505131,6505136,7202224,8309059,8309060,7200541,7200543,7135154,7135152,7474017,4723418,4723416,7143973,4498346,254507105,4062080,4062083,6482484,9868345,12360051,8351234,8351233,9877683,9877684,7145588,7145589,9866440,9866438,11395271,9890864,9889999,9889996,9889589,6498307,6498306,7203575,9869402,6483274,6483272,6498826,6478867,4059984,4059983,4971707,4499986,2703946,2029347,2029346,3431755,5546068,8547685,9886536,14380768,20064828,26949686,35030310,44405536,55253385,48297333,38387025,255914119,22348957,22348956,16276616,254779787,4750806,4750808,7515109,7487908,7299040,4603909,2770529,1606648,1606646,2770528,4603906,7299032,5414023,3328023,3328024,3328028,3328027,5414028,7299084,4603935,2770542,1606653,913943,515737,254085947,160208,289292,289291,173266,173267,289186,289187,515300,514254,514255,851508,851507,514940,514939,912645,515498,254122595,288564,288565,514242,911555,254122648,481111,481081,270770,270769,481094,851763,911791,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288892,289441,289285,160111,88123,48498,48497,88119,88110,88112,160083,289172,515281,515547,912359,912358,913330,515382,515381,913397,1604306,1604304,1605967,2603171,2603172,1604302,1604301,1606932,1606930,1606600,913905,912660,912659,1604796,1502576,1502575,1066280,599352,333928,333929,599355,1066283,1658468,254124845,298525,298527,532218,943652,1658456,2769650,2769649,4602786,4603779,3193519,3193518,5232819,4766137,2873129,2873131,4741581,2857566,2857567,4741584,4783512,2882449,254168027,536509,536512,951481,1672534,2685065,1555378,884302,884303,1555380,1581552,899090,899089,1581548,2729579,4540831,2813150,2813149,4669250,7206750,7206749,5481709,5481708,7390581,4669008,2858669,2857549,2857548,1672565,1672563,254358149,4469131,2685006,1555328,1555327,1631802,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,1555392,884313,498987,279840,154464,84660,84661,154472,279860,319355,522970,927847,1631679,1775090,1775088,1672545,951488,951489,1672550,1011967,928073,523097,523096,928067,1631980,1775012,1011942,1011943,1775017,2766457,1774159,1011825,570346,570347,1011829,1774881,1774266,1011370,570115,570113,319343,176602,97136,97137,176605,319350,570155,1011530,1012050,1012051,1775132,3046920,254174595,319420,176638,97154,254074881,29542,29543,28388,16195,16196,28017,28015,29130,30065,30067,27958,15875,8938,8936,254072161,27938,15855,15856,18085,18084,31345,55524,55569,254104321,1066750,1870050,3194766,4531993,2724220,2724224,1578766,897608,897609,1578769,2724547,1628336,925931,925933,1628347,2806868,4067018,6490461,6490460,6490465,6490318,4066812,4066811,6490316,7195123,10812095,7216614,7216613,6505727,4076753,4076755,6505731,9898784,9876424,8389396,5413655,3327767,1957004,1117855,627203,348451,348452,627204,1117857,1703789,2938208,4876258,3327966,254596895,8544384,5542442,5542443,8544386,12593193,268262181,23927640,22385875,16227702,16227701,16599513,22384833,22384834,29744038,38312727,29744130,22385029,16227004,16227003,17585761,22818955,22818954,24159353,17792003,17792004,24159355,24159350,22384636,22384637,23927266,23927265,17585902,17585901,16599499,16599498,255180391,12413293,17586127,22384899,17585880,17585879,23927377,22818942,22818943,30210911,29744194,29744195,256439925,36699781,29744164,22384984,16227007,16227006,15975213,15975212,22080889,22384764,17586131,17586132,16226677,16226675,16599262,21015850,16226873,16226871,11281047,255091061,16227125,15975197,11089812,11089811,15975195,16226543,16226544,16227001,11280475,7488176,4732234,4732235,7488178,11280479,11280413,7488124,7488123,11280409,11864062,16951520,23224858,28749984,21490552,21490553,15940770,15940768,22043666,29374467,30669102,23253702,16990872,11905614,11905612,16990869,23253697,23352906,23352907,30776724,29374574,22333010,22043738,22043739,23747606,23747607,23747608,254413444,36939693,28440246,26372453,19639289,14075721,14075720,255176689,8352543,8352542,268112183,21895366,15817212,254754257,4576010,3475530,3475528,5599089,8613794,11269760,11269761,15814523,10959273,10959272,12151809,254804394,5290020,4493898,2699935,2699934,4491453,2698496,1563262,1563263,2698499,4490777,5267032,3221784,1888196,1888197,1607189,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892389,3227441,3221709,3221707,2871333,1666515,947951,947950,1666509,2771680,1607464,914468,914467,1607454,267828281,1873694,1873693,3200347,268251810,4736831,4736832,7301089,7301088,7254512,4763640,4763641,254394725,1901098,1085177,1085176,1600794,254124769,298194,165141,165143,298123,298042,298041,531457,613774,613773,267771419,2782197,2782196,4620409,7318595,7491210,4734783,2853187,1655720,942067,942066,1609466,1609465,1616481,1894875,1081469,1081470,1894878,1874118,1874119,3201011,3228704,1912268,1092084,1092083,613627,613577,341187,187216,187215,341189,613588,1081106,607204,337868,185573,101506,55915,254075253,185570,337863,267754933,1609849,1072857,602789,602786,338584,338585,335792,335794,603010,1073240,914348,914347,1073256,1073255,1881205,1881204,3211821,4622179,7313463,4616508,4616509,254760153,5255297,5252119,5252118,8182344,7895670,5016645,4607204,2776875,2776876,1611017,916564,517146,517145,916562,1611011,2777062,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783689,3228874,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,3212423,1881692,1073494,1073496,1881699,3207928,4622288,7308271,5252430,5252429,4611498,3212378,3207466,1878428,1071648,1071649,1072525,1072386,602556,602559,1072236,1072235,1879461,2784134,3208946,1892803,1892800,254582401,4621276,4621275,7319572,7831415,11730297,11046559,7321339,4622650,4622649,7321338,5252262,5252263,254520537,2783508,2783512,3274985,1926331,1926330,3274980,2999136,1741794,1741796,2999142,4965655,7823896,5252129,4627082,3209644,3209642,4624478,4624456,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,5264040,5264041,8194218,255159555,11033534,11033533,12156281,12156280,15916888,15916890,22018313,16767535,16767536,23007292,17360715,12230969,8258634,8258635,254490938,8194071,5263915,3219029,1886229,1886227,1886241,1886240,3219052,5263955,8194112,8258135,11039361,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8311065,10584663,12162570,12162569,17271434,16004864,11111303,7369371,5327734,5327735,8258231,11048184,11048183,8213698,5284548,5284547,8213715,12135897,8259037,5328397,3275238,3275240,5328404,5328282,3275173,1926428,1926429,2628104,2628105,3237558,3237557,1926421,1926422,3275160,3237585,3237583,3274866,5327842,8258357,12230485,17360429,17360402,17360401,23680681,31169013,256948111,29751008,22391206,16232084,11284635,7491685,4735231,2853545,2853546,4735234,7491687,8230165,8230164,12199415,12165592,8196907,5395119,3317625,3317626,5395122,8358477,12231360,8259056,5328417,3275248,3275250,5284623,5268353,3223050,1889211,1078049,605500,605502,1078059,1889243,1911990,3255028,3264869,3264872,5315618,7493211,4736486,2854456,1899317,1899319,3217344,3217343,3237878,1899559,1084252,608944,608942,1084244,254264739,1902765,1086192,1086194,919432,919433,615538,615537,1096458,1919479,3265594,3265595,5316488,5278171,3231946,1895527,1081871,1081870,1895525,3231939,4734472,3234255,254182047,608158,338433,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614149,1093959,1900572,1915900,1609959,915963,915959,1609944,254263597,1078021,1078022,1889150,3222939,3265312,5316153,4962135,2996722,2996724,4962142,3231830,1920702,1097220,1097219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239779, s2 = 15157634, dlinesl.size( ) = 2 s1 = 13239779, s2 = 15157634, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13239779, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 6480202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 142673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6467775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 690776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 690776, s2 = 11189162, int(edited[s2]) = 0 s1 = 690776, s2 = 11189162, d1 = 105, d2 = 117 Dl.O(d1) = 17616954,254856097 Dl.O(d2) = 259636640,38730442,48651644,59662089,257703489,40764015,32008326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 690776, s2 = 11189162, dlinesl.size( ) = 30 s1 = 8091492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8091492, s2 = 692072, int(edited[s2]) = 0 s1 = 8091492, s2 = 692072, d1 = 10, d2 = 11 Dl.O(d1) = 256298584,16564169,255415917,10794034,12141522,12155428,8185787,7255703,7136777,254741857,8249134,5321079,5321080,8249138,11550645,254711278,15601036,15601037,21632155,15667780,10846336,7170321,4516171,2713931,1572299,1572300,2713936,4511435,7162979,7684809,4862518,4862519,7684813,10836387,9226749,6042658,6042660,9226751,10836333,10836335,13486150,268145927,16269264,16269263,15657056,10837934,10837935,15657057,15655388,15655387,10837661,7164136,4512136,2711315,1637046,1637045,2821797,4668822,4511912,2711654,2711655,4512742,7163012,4511453,2710942,2710941,4491129,2698287,1563144,888658,888659,1563149,2698294,4491139,7133437,10796434,10893012,15729666,21638530,21638529,23573693,255807920,30743098,30743097,33458738,40178095,31492631,31492630,33458736,33458737,40171768,33146571,33146440,31492579,23995049,23995050,31492583,40178054,34221574,26347631,26347632,23149136,23149135,30566500,29328463,21998166,21998165,17632973,17632972,23979819,23327258,17061193,11969435,11969436,17061196,23327262,23327245,17061186,17061185,23327240,30748871,39348745,42115546,40177986,31492520,31492519,23995007,23995008,23995011,23995009,17651196,17651197,23995085,17651192,17651191,23995083,31492624,40178087,40492592,40492593,40178115,33458729,33146569,25406310,25406309,33146565,31474173,23995027,17651165,17651164,23995023,31492543,256124406,31489416,23992136,23992135,23976164,23976163,31114484,31114485,23979784,17632933,17632932,23979781,24283780,17903065,17903018,17903017,24283732,31797651,40156160,31472005,23975903,17627988,12448408,12448410,12460270,12460268,12464941,12464942,17623644,12460136,8428846,8428845,12441638,12441639,12460321,8437401,5447769,3349031,1969065,1969066,3349035,5447772,8437408,12445269,12445268,12444132,8412537,8412536,12444130,8440398,8440399,12471220,17645021,255804254,17642428,12467659,8436726,8436727,254861023,17648236,254861213,8420514,254405907,3340937,3352571,3352572,3352633,3341860,1965131,1965129,3341859,3337739,3337738,5429577,267912205,5453938,8445071,8422606,5436339,3341964,3341962,5436337,8422603,12454278,12473960,12454129,8422463,8422465,8419971,5434326,3340680,3340678,5434317,8419958,12451642,12458717,8427257,8427258,12444348,8441148,5450535,3350671,1969903,1124811,1124813,1969909,3338013,3338012,5430032,8414117,8407504,5426602,5426606,5437673,3350809,3350812,1969983,1969982,3350832,4562331,4562330,5437024,5437023,8423557,12438694,8407231,5437145,3342436,3342434,5437137,8423731,8423550,7466969,4718756,4718755,7466960,5424746,5424747,254856325,8406104,8406103,12437509,17619349,12474423,12474422,254858029,8420977,5442525,3345784,1967300,1123522,1123521,1967298,3345778,3352949,1971161,1971159,3352945,5454004,8445139,8427564,8427563,12455637,8435015,8435014,8445974,5454692,3353416,3353417,5454695,254861033,8431775 Dl.O(d2) = 17648566,12476482,8446701,8432589,5443957,254520499,2999297,1741868,989775,989776,1741871,2999305,4655344,2804525,1626941,1626938,2804515,1676631,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256676,5306521,8146544,5218698,254554425,3256394,3256395,254407923,2852581,2852580,254532199,8454271,11284375,254532305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8091492, s2 = 692072, dlinesl.size( ) = 8 s1 = 7879089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 692205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 692205, s2 = 1032155, int(edited[s2]) = 0 s1 = 692205, s2 = 1032155, d1 = 150, d2 = 209 Dl.O(d1) = 17651395,12480664,8451565,5459483,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475622,5599249,8614008,12682372,13375116,13375115,9142443,5982747,3741035,2239617,2239616,3741031,5982737,9142426,12207737,8239338,8239339,12207741,17332944,13373224,13373222,12480735,12480734,17651445,23989867,17650476,12479415,12479416,8451716 Dl.O(d2) = 26055749,33878818,254947584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 224698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 224924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 337264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 337559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 337559, s2 = 16223168, int(edited[s2]) = 0 s1 = 337559, s2 = 16223168, d1 = 7, d2 = 7 Dl.O(d1) = 28322093,21111945,255095945,7531288,4764146,2871943,2871942,4764145,7531286,10886553,10886554,14377968,11258575,7474018,7474019,7702730,11572156,12206444,12206442,11571896,7702531,4874836,4874835,7702529,10894842,7205463,4539622,4539621,7205460,10894836,9896275,9896274,9899445,11333667,7531283,7531284,11333669,9889340,9889341,14383722,20017291,16617460,16617459,22839371,20053657,14367966,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942261,1706326,1706324,2942350,4883002,4069188,2434925,1747449,1747453,3008065,2724343,2724341,4532217,7194141,7204910,4539243,2728363,1580733,1580737,2728372,4539263,7204942,9964304,10813156,14360696,10894245,7204926,6490412,6490413,9879170,14373195,14393223,17701612,17701613,12520759,8482859,5483721,3374750,1986133,1134712,1134711,1986130,3374747,5483717,8482858,8524431,8524430,8609430,8609429,12677129,268264469,17701610,12520756,12520757,17701611,17734522,17734521,24060061,17763785,16890652,12624973,12547911,8507177,5507688,3396330,2002124,2002123,3396166,5507528,8507026,12547744,12523640,8485538,5486300,5486299,8485536,12523637,17705200,24060059,31565677,40253139,50274467,50274466,61754751,258901019,102144781,260736675,143449143,145343413,259891736,118300658,104147387,90022577,76218305,63207279,268424654,65379690,65379692,70434313,83960572,92747523,107087853,121385130,135235090,148400743,142166896,128812135,114914934,100864504,259649598,73272993,60528335,49127696,49127695,60528333,73272992,86884444,99130107,85207274,71641900,58920661,47539211,37633515,29083417,21785795,15727304,10890808,7202237,4537559,4537560,7202238,7146539,4500093,2704006,2704005,4500090,7146535,10814149,11571528,7702276,7702275,11571524,11910892,7967314,5069162,5069161,4519810,2716670,2716671,4519812,7175218,9876590,9876589,14370663,20056096,20071325,16014691,11119253,7375213,254765445,15727296,15727295,11570882,9886751,6496122,6496124,9886755,6505129,6505130,4537546,2727420,1580208,898315,506769,284172,156992,86230,254085555,254085557,506678,898137,1579869,2726739,4536304,7200225,10888360,10890822,7202248,7202249,4871929,4871930,7697818,11565383,16585136,14365400,9872078,6502976,6502978,9895553,11732721,11732722,9874555,6486971,6486970,9874554,14368411,14370096,14370097,15658970,21698755,16585543,11565721,7698047,4872090,4070311,2435612,2435611,4070309,6495745,7195474,7135125,7135123,9889842,9889841,14384199,20068003,21663316,20055311,14369665,9875575,9875574,14369663,10891422,10891421,254511233,2727615,1580327,898382,506800,284186,157001,86234,47333,47331,254085555,254085557,506678,898137,1579870,2726741,4536307,7200229,10888368,10890643,7202082,7202084,9892152,9892154,14386627,14364358,9870977,9870976,14364355,20050035,20059112,20059111,268173827,14374218,20059034,26944412,26944469,20059110,20059109,26944467,35025259,44400490,48190596,38281181,29714441,29714443,22363102,16209711,16209710,256002469,39845064,49867697,61349742,74131509,87737236,101711384 Dl.O(d2) = 28322093,21111945,255095945,7531288,4764146,2871943,2871942,4764145,7531286,10886553,10886554,14377968,11258575,7474018,7474019,7702730,11572156,12206444,12206442,11571896,7702531,4874836,4874835,7702529,10894842,7205463,4539622,4539621,7205460,10894836,9896275,9896274,9899445,11333667,7531283,7531284,11333669,9889340,9889341,14383722,20017291,16617460,16617459,22839371,20053657,14367966,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942261,1706326,1706324,2942350,4883002,4069188,2434925,1747449,1747453,3008065,2724343,2724341,4532217,7194141,7204910,4539243,2728363,1580733,1580737,2728372,4539263,7204942,9964304,10813156,14360696,10894245,7204926,6490412,6490413,9879170,14373195,14393223,17701612,17701613,12520759,8482859,5483721,3374750,1986133,1134712,1134711,1986130,3374747,5483717,8482858,8524431,8524430,8609430,8609429,12677129,268264469,17701610,12520756,12520757,17701611,17734522,17734521,24060061,17763785,16890652,12624973,12547911,8507177,5507688,3396330,2002124,2002123,3396166,5507528,8507026,12547744,12523640,8485538,5486300,5486299,8485536,12523637,17705200,24060059,31565677,40253139,50274467,50274466,61754751,258901019,102144781,260736675,143449143,145343413,259891736,118300658,104147387,90022577,76218305,63207279,268424654,65379690,65379692,70434313,83960572,92747523,107087853,121385130,135235090,148400743,142166896,128812135,114914934,100864504,259649598,73272993,60528335,49127696,49127695,60528333,73272992,86884444,99130107,85207274,71641900,58920661,47539211,37633515,29083417,21785795,15727304,10890808,7202237,4537559,4537560,7202238,7146539,4500093,2704006,2704005,4500090,7146535,10814149,11571528,7702276,7702275,11571524,11910892,7967314,5069162,5069161,4519810,2716670,2716671,4519812,7175218,9876590,9876589,14370663,20056096,20071325,16014691,11119253,7375213,254765445,15727296,15727295,11570882,9886751,6496122,6496124,9886755,6505129,6505130,4537546,2727420,1580208,898315,506769,284172,156992,86230,254085555,254085557,506678,898137,1579869,2726739,4536304,7200225,10888360,10890822,7202248,7202249,4871929,4871930,7697818,11565383,16585136,14365400,9872078,6502976,6502978,9895553,11732721,11732722,9874555,6486971,6486970,9874554,14368411,14370096,14370097,15658970,21698755,16585543,11565721,7698047,4872090,4070311,2435612,2435611,4070309,6495745,7195474,7135125,7135123,9889842,9889841,14384199,20068003,21663316,20055311,14369665,9875575,9875574,14369663,10891422,10891421,254511233,2727615,1580327,898382,506800,284186,157001,86234,47333,47331,254085555,254085557,506678,898137,1579870,2726741,4536307,7200229,10888368,10890643,7202082,7202084,9892152,9892154,14386627,14364358,9870977,9870976,14364355,20050035,20059112,20059111,268173827,14374218,20059034,26944412,26944469,20059110,20059109,26944467,35025259,44400490,48190596,38281181,29714441,29714443,22363102,16209711,16209710,256002469,39845064,49867697,61349742,74131509,87737236,101711384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 337559, s2 = 16223168, dlinesl.size( ) = 2 s1 = 337559, s2 = 16223168, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 337559, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 337763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 338321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 146689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 146689, s2 = 10545374, int(edited[s2]) = 0 s1 = 146689, s2 = 10545374, d1 = 11, d2 = 6 Dl.O(d1) = 3397644,3397645,5509103,8508558,12549410,12603541,8553269,5550872,3435847,3435846,5550870,8553268,12603539,255587359,31679443,257094553,61898282,64692484,64692491,64692490,52778389,268177158,33391517,42379627,50407727,52146317,41828259,41828260,48875790,48056624,268272692,22228806 Dl.O(d2) = 11178966,11178967,11690285,7796524,4943952,2983737,2983740,4943959,7796540,7066309,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,26995450,254572440,22020309,22020310,29351722,33207750,25460045,25460044,255261532,256128354,49257621,49257620,257028500,39333191,30735562,23316303,23316304,25459657,25459655,30735539,30735537,23316331,23316280,23316282,30735519,39331425,32040417,32040418,30735256,23316076,17052423,11962551,8007729,8007730,11962558,17052436,14918152,14918151,18860094,18054873,18054874,17051113,11961731,11961732,17051118,23314148,256478613,23314165,17051166,11961758,11961759,255529825,30733294,30735103,23315958,18054803,12799670,12799667,18054796,24476180,30732500,30732501,257023355,39332577,39332578,39331869,30733780,30731613,30731614,39329944,39332331,30734389,30734388,30734402,39332344,47957006,38043773,38043772,39332835,38340528,29769267,29769268,38043254,38043253,30732603,30732604,38043820,47957046,48538145,49256570,59931090,49257340,255160756,29480492,22142873,16024900,268221587,23313892,29480315,29480316,38043520,30734425,30734424,30732246,26343484,22653032,22653030,30026237,37909522,29340522,22008822,15907507,11028881,7303266,7303269,11028888,15907516,22008847,22327330,25461874,25461878,18861667,13438555,13438553,18861662,22143213,16025117,11126571,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,17091308,23360014,30785183,39387353,37841016,33209960,33209958,25520658,25520659,25520651,25520650,25520663,18911093,13479803,9221145,9221147,13479806,18911097,25520672,33280865,33280864,33280866,33280867,42260609,52646280,52646264,52646263,62127490,50625820,40582035,31877914,24353002,17959945,17677233,12500850,8467984,6011557,5726103,5726102,8790953,12922707,18219175,21085404,15145691,15145690,21085401,21854291,21854292,29162854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 146689, s2 = 10545374, dlinesl.size( ) = 2 s1 = 146689, s2 = 10545374, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 146689, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 6477440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6477440, s2 = 9145685, int(edited[s2]) = 0 s1 = 6477440, s2 = 9145685, d1 = 55, d2 = 52 Dl.O(d1) = 254977726,8530935,12577670,16895530,11823356,7901392,5022745,3040264,3040263,5022776,7901663,11823767 Dl.O(d2) = 71529408,58800508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1579525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1579525, s2 = 10234927, int(edited[s2]) = 0 s1 = 1579525, s2 = 10234927, d1 = 34, d2 = 39 Dl.O(d1) = 11652582,7764434,7764435,11652585,16691606,16691871,11652848,11652844,11652660,7764509,7764512,7764732,4918676,2965510,2965507,4918669,7764696,7764697,11652913,11653458,11653457,16692315,16691796,16691795,22926196,30327228,22928594,22928593,28201648,21010100,21010099,20230344,14516937,14516936,16695332,11656119,7767492,7767491,7766968,4920716,2967169,2967170,4920723,7766987,11655360,11656329,16695540,22929966,30327234,30327344,30329090,255122342,17949446,12719328,12719327,16673130,16676299,16676300,17949430,12719321,12719322,17949437,22904279,16674852,16674851,22906535,22928478,22928745,24339752,24339753,27138124,20231131,20231134,27138131,22928263,22928264,30329148,30303637,24339789,17949476,12719345,12719343,17949473,22904297,16694770,11655726,7767229,4920863,2967250,2967252,4920870,7767246,11655780,16694878,22928383,16694695,16694694,22929015,22904912,16673661,16673663,22905015,22904261,22904260,30303255,22904266,22904265,30303264,30303722,30303721,22928097,22928098,30328969,30328970,31988766,40737618,44614486,44614485,254802034,30328381,254803188,48827540,50843521,60230559,60233782,72949213,60209924,48813363,48813364,48813387,48263900,38352824,38352823,48263898,59650984,60209173,60209172,72948738,256448610,62767740,51133289,40988327,32205985,32205984,40988333,38891575,38889956,30303869,22904893,22904892,30303865,38889947,38916159,38916160,48812168 Dl.O(d2) = 17779726,258907853,260146555,130206664,143533364,141632755,141632756,154287868,166039783,263926273,186094461,262748825,166039834,154287925,141632796,128282681,114406701,100383665,86428037,86428035,100383662,260636999,141632783,154287906,262748809,154287878,166039793,166039808,263183043,263926271,166039796,166039795,176679300,262748827,154287937,154287935,166039844,176679339,186094467,194300906,186094464,186094463,194300908,263573967,176679314,262272961,141632773,128282667,261213193,154287895,166039809,176679315,176679305,166039824,166039823,154287910,154287909,166039826,176679326,186094450,176679329,166039830,154287917,141632790,128282677,128282678,141632792,154287921,154287938,141632809,128282688,114406705,259419983,258172509,60095794,272187426,261213195,262748821,263573971,194300903,263866882,154287910,154287909,166039826,176679326,186094450,186094454,194300891,194300883,194300882,264524199,263926269,186094458,176679333,166039836,261760029,128282683,114406702,114406703,128282686,141632805,141632797,128282681,114406701,100383665,86428037,86428035,100383661,114406693,128282671,141632779,154287900,166039814,263183045,263926265,263926267,194300895,186094440,176679309,166039803,154287889,141632768,128282665,114406689,100383660,86428034,72833076,60095793,258172507,259419981,114406684,261760025,262748805,186094425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1579525, s2 = 10234927, dlinesl.size( ) = 14 s1 = 7952254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 227852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16185846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16185846, s2 = 14502382, int(edited[s2]) = 0 s1 = 16185846, s2 = 14502382, d1 = 6, d2 = 11 Dl.O(d1) = 99354554,113356178,127214311,127214312,258716792,258716794,115975852,115975849,101931234,101931235,115975851,129873612,129873609,129873610,127386476,127386477,127386479,113516807,99505707 Dl.O(d2) = 165225071,261981888,155755628,143203300,129873604,115975846,115975845,115975847,129873607,259670702,167388155,155755711,143203402,129873699,115975948,101931323,87958459,74356199,61579389,50099416,50099415,50099418,40078628,31397521,31397522,40078630,46376929,46376928,57727151,70422055,83948783,271285481,83948782,70422053,70422051,83948779,97808008,97808007,270526710,87958472,74356208,74356207,87958469,83948773,258416762,256813163,28053166,20884146,14981442,14981443,20884147,28053168,36517737,28053176,20884150,14981445,10313432,6783991,6783992,6787889,6787890,10318078,13275604,9060428,5924103,5924105,9060434,13275618,13322191,14997081,10353404,10353403,13322822,13322821,18716018,20300544,14568185,14568184,20300542,27229589,35352634,256465270,46837248,44777259,35352635,30229975,22837890,16616240,16616241,22837892,30229977,38812751,254812668,30229981,30229982,30229983,38812760,48732957,48732947,48732946,47051370,37160789,28644706,21403316,21403317,28644707,31776128,255110624,57795709,70496669,74538470,256876218,40252848,40252847,36864146,28365935,21150349,15196291,10481608,10481610,15196294,10482319,10482320,15197623,21152451,18764195,13361707,9131751,9131752,13361713,11250082,11250081,16184541,22330882,28368815,28368816,28367170,21150675,15196498,15196499,17356574,15198871,10482978,8255138,5325498,5325493,8255116,12226847,17356349,23676290,28368890,21152115,21152116,22007895,15906864,15906865,22007898,28546454,37046051,256301181,21153607,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,10482235,10482232,11860931,11860932,8345542,8345541,12352340,17516701,23860205,21152392,21152391,23801094,17468261,17468260,23801091,17580824,17580822,23921980,31411699,37871062,39963025,36867645,28370811,28370810,36867640,39240252,39963266,36867475,28370537,28370538,30645223,30641737,23218532,16945967,16945968,11862269,7927747,5039582,5039583,5325332,5325331,8254793,12226301,17355485,21224796,15254826,15254827,21224798,19104763,13640421,9340655,9340653,13640417,19104758,25737777,31165618,30645452,23223156,21152834,21152833,28369727,32139777,32139775,40917156,267822206,25992262,19321204,17783452,12586109,8538483,5536543,5536546,8538495,11340227,11340226,15588246,15588243,20341988,27277709,35403847,254717092,22466876,22466875,268013288,9965591,9965589,14483995,20187319,255651077,18701833,22760517,20344731,20344732,17492896,17492895,14605046,10049765,6603896,4136931,4136932,6603900,10049767,14605051,20294144,14563078,14563077,267858562,19844162,19844161,20961464,15052078,10378061,6838410,4290662,2565239,1477155,1477152,2565232,4290645,6838380,6838090,6838092,10377578,14967706,14967705,12643419,8584716,5578312,5578311,8584715,12643415,17853350,24225155,31733824,26895345,26895344,26336713,19608356,14050525,9661468,7836700,4974513,4974512,7836698,11737717,16787130,15777870,15777869,21515345,21515344,28778142,29153585,29157140,21848553,15777883,15777881,21848548,29157138,21852075,15781137,15781139,21852083,26336336,19608065,14050324,14050322,15778668,15778667,21849473,26336849,254750530,26336816,26336817,27109584,27109585,35199428,36999325,35199421,35199422,28502052,21283983,21283984,21283969,15320434,15320433,12323071,8323881,8323880,12323069,15320443,10581695,6980638,6980639,10581553,6980549,6980550,4386047,4386046,6980553,10581559,6980648,4386114,2627518,1516942,860037,485532,273113,273112,485531,860036,1516940,267823847,6980587,6980624,6980623,10581675,15320416,21283826,15320320,15320319,10581708,10581598,6980573,6980572,10581551,6980546,6980545,255028097,15320327,10581607,6980579,4386067,2627493,1516930,1516928,2627489,4386059,6980568,10581593,15320308,21283812,28501995,36999400,46877766,58244752,70861325,70861326,71394923,58660174,47268614,37358613,28818853,28818854,256851163,36999381,46877730,58244711,58660181,58660182,71394928,71139818,58418396,47043838,37153385,28637941,28637940,37153382,47043834,58418382,47043828,37153378,28637937,28637936,37153377,47043825,58418380,64398334,77566640,77533111,269503313,52492095,47306488,37397044,37397043,47306484,256457622,37358596,255512750,15531118,15531117,255844381,21549502,21549503,256336445,47268588,257538410,58677983,47286774,37377188,37377187,47268628,47268627,58660155,258147430,49969146,39952382,39952383,49969150,52524503,52524502,58184057,46817562,36939496,28440035,28440034,36939494,46817559,58184054,58418330,71139758,58660156,58660157,61446910,71394910,58660153,256457624,256877837,47043785,42135206,42135205,52492125,64365049,64365054,258147432,70683913,58418313,47043764,37153319,28637895,21397622,21397621,28637893,37153315,47043757,58418268,47043708,37153278,256862739,53204335,53204334,65189599,70683874,59227195,59227196,71965214,70683914,57965723,57965724,70683875,71503466,58774058,58774057,66848855,58908307,47527326,47527327,58908309,257399212,71139735,71139694,71139693,84709449,258676631,71139698,63262279,53716606,44806992,35382264,35382263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16185846, s2 = 14502382, dlinesl.size( ) = 2 s1 = 16185846, s2 = 14502382, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16185846, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 342104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9345645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 342403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13394377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7970019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 358983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9470000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9470000, s2 = 11657031, int(edited[s2]) = 0 s1 = 9470000, s2 = 11657031, d1 = 12, d2 = 8 Dl.O(d1) = 165964638,176609635,186029202,194240837,186029199,186029200,194240838,260906960,182737601,259697084,161676817,149383668,136130443,122163234,107752957,93325104,255282918,53772240,254938688,254662524,34166006,26298140,26298141,34166008,43256322,34166010,254208130,14023288,9639865,6337049,6337047,9639861,14023284,19575412,25489947,25489946,25489945,25489944,22070274,15965339,11081156,7347952,7347693,4640813,2795188,2258516,2258519,2791285,1619265,1619264,2791280,4633629,2791336,1619291,920991,723691,723688,1267838,2185690,3654374,4823153,7623136,7334762,4633289,2791126,2791122,4633278,2792767,2792768,4636358,7338707,4640568,2795043,2795042,4640564,7339506,7339505,11069002,11070909,7340856,7340857,11070916,11074904,7343500,7343501,8721761,5677250,3531062,2101406,1209956,1209958,921773,921774,1620939,2793378,4637481,7342070,11072751,15954927,11072673,7342014,4637453,4637452,7342009,10492271,10492272,15210641,11081506,9204101,9204100,11067586,15948515,22051874,22050217,18925557,13492041,13492042,11062480,11062481,15941964,16229435,22388264,29748087,38317049,256522338,27134880,28810777,37349345,47258859,58650746,71385961,84960595,269873314,101887113,101887112,259068326,61531379,61531380,74308909,61543618,55419831,55419832,67759837,81225983,95283506,81225988,67759844,55419834,44572650,35194540,35194539,44572648,44572641,35194534,35194533,255282914,255282912,30172684,22783964,16568217,255356200,2929752,2929753,4861900,5828274,4902784,4902787,5552422,8555213,5985552,5985549,6992921,4902760,4902757,7742548,11555621,9115923,9115920,7695600,4870265,4870261,7695594,11422720,7727457,4903690,4087637,2445490,2445491,4087642,6523843,9926373,9926336,9926334,14430535,12606180,8555354,8555351,7743842,7471893,7471891,9117522,5965602,5965600,9117512,5984724,5850105,3651191,3651190,4897580,2951668,2951669,3741987,5984337,7586883,4893913,4893912,7059591,254335408,7689303,7689302,6260506,3919340,3919339,4897178,2951361,2951362,4897181,4897528,2951633,1713476,973647,973645,1700549,1700550,2932094,4865861,7689305,11555546,255113661,11561742,11564148,11564147,16412040,11617223,7736569,7736570,11617225,16649219,16571981,16397013,16397014,255005751,7683292,4861444,4861447,4905421,7746355,11628849,254784347,254784345,255479727,256960589,31909898,24378335,17979790,12742316,8659434,5633045,3500701,2080741,1196354,254195573,3500698 Dl.O(d2) = 10858322,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856298,24228675,31737455,29038724,21746469,15694759,10864943,10854710,7176432,4520657,2717200,1574478,1574482,2717144,2717141,4520552,7176256,10854413,15675710,21115659,15693487,15692976,15692973,21743950,29012484,21725237,21725236,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896187,1576324,1576216,896130,505503,283367,156460,85889,47128,26260,14809,14806,26246,47103,85835,156354,283147,505039,895083,895081,1574233,1573414,1573415,1574765,1573624,894761,504775,504777,894743,894678,894677,1573472,2715485,4518020,7172511,10849310,15671724,255856029,37545316,257471361,256891097,28999883,255727325,19811486,26621582,34610292,43881426,54623878,66881449,80310619,269833063,48875431,60267705,73002659,60267725,267984134,36630005,254553278,34997302,39268887,34254330,26377053,19643495,14079372,9684069,9684067,14079370,14079380,9684071,6369779,6369780,9684076,14079389,19643523,26377100,34253868,26376628,26376629,19643305,19643306,19643726,19643725,19643322,14079233,14079232,9684245,6369890,3997017,3997016,6369885,9684232,9684312,9684313,9684367,9684165,9684166,9684359,6369951,3997043,3997042,6369945,9684346,14079824,11259486,9683988,9683987,12330292,12330293,268477266,39990817,39907869,31231166,31231165,37428757,28886708,26313244,268179262,14034068,19588079,25279292,18706643,13313268,9093974,6791128,4257775,4257776,6791130,10321805,14990650,20894542,28065303,36531613,257392813,70437195,83963653,97822927,111745404,111745403,261053875,138884494,261653581,152576613,164433017,175214618,170606655,159271600,146900908,133647613,133647614,133647615,145062115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9470000, s2 = 11657031, dlinesl.size( ) = 2 s1 = 9470000, s2 = 11657031, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9470000, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 13684429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6535153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6535153, s2 = 12088, int(edited[s2]) = 0 s1 = 6535153, s2 = 12088, d1 = 92, d2 = 89 Dl.O(d1) = 255682870,254934656,16680107,11642962,7756622,7756623,8718457,5675004 Dl.O(d2) = 152369,152365,152595,152600,276484,492936,874021,1539351,255034625,21413495,261655587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6535153, s2 = 12088, dlinesl.size( ) = 86 s1 = 7917032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7917032, s2 = 3073263, int(edited[s2]) = 0 s1 = 7917032, s2 = 3073263, d1 = 12, d2 = 15 Dl.O(d1) = 24500592,18072889,12812649,8711466,5671049,5671046,8711800,5675003 Dl.O(d2) = 67694739,81160370,95216913,95216911,81160369,81160370,95216913,95216912,95216913,95216911,95216910,109471175,119881322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7917032, s2 = 3073263, dlinesl.size( ) = 10 s1 = 1616213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1616213, s2 = 7608239, int(edited[s2]) = 0 s1 = 1616213, s2 = 7608239, d1 = 14, d2 = 6 Dl.O(d1) = 40840940,32071479,24618763,18168071,18168072,24618766,24992997,18469243,13122817,8944348,5838678,5838679,8944352,8947192,8947193,13127710,16679394,16679010,13119722,12809080,8709324,8709322,12808722,8712491,5838074,3643533,2178139,2178141,3643539,5838081,8943330,11005448,7285453,7285454,11005450,8718582,5675065,5675069,8718435,5674998,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,2178785,2178789,1262619,719300,406843,228216,125693,68228,68226,125684,228198,406800,719225,1262451,2178477,3644244,3643939,2178333,2178335,2178535,1262479,1262480,2178539,3644350,5839575,8945916,13125352,18474767,24996420,24504454,18075930,18067408,12809216,8710414,8710416,12811060,18070736,13121315,8943373,8943375,13121324,17967134,18478397,24493207,24493205,18474120,18168284,14458200,9947016,8718606,5675077,5675079,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,3644848,5840631,5671619,3527823,3527829,2178058,1262264,719138,719136,1262256,2178046,3527518,3527519,5671066,3632945,3632946,5823563 Dl.O(d2) = 158232791,151556459,262613077,151556459,138853637,261050620,259869530,70404972,269295219,10302002,10302003,14969817,10337083,6804420,4267380,4267381,6804424,10303199,6783844,6775213,4246790,4246789,6775210,6865438,6865437,8130096,5208787,3177887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1616213, s2 = 7608239, dlinesl.size( ) = 2 s1 = 1616213, s2 = 7608239, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1616213, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 346917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 234136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 234136, s2 = 11658575, int(edited[s2]) = 0 s1 = 234136, s2 = 11658575, d1 = 3, d2 = 230 Dl.O(d1) = 5712525 Dl.O(d2) = 11028722,255068155,22008629,21000406,15084609,10404467,10404468,15084612,268404012,17310760,17310759,23626561,22120971,22120970,255579708,15824959,16006898,16006899,255886767,256537690,29454929,22120792,16007013,11112835,7370388,267972712,4656215,7370520,11112997,7370492,7370493,11113001,16007195,11113318,7370751,7370674,7370672,11113201,11112721,7370591,7370592,11113068,7370551,7370550,4656257,2805105,1627262,1627263,2805109,4656272,7370629,4656365,2805161,1627285,925330,521601,521600,925324,925293,254165075,2805006,4656092,7370315,11112718,7370681,7370680,11113216,13640980,16006764,16008336,16007255,11113045,7370534,4656224,4656225,4656208,4656209,7370505,4656219,2805083,2805082,4656217,4656297,2805123,1627267,1627266,2805118,4656263,4656101,4656100,7370325,11112733,15979282,22085574,15979267,11092766,11092767,7370831,7370832,7370815,7370814,7370996,11113656,16007466,11113259,7370715,4656325,2805135,2805131,4656317,4656472,7371002,7370545,4656229,2805224,2805223,4656490,2805265,1627346,925374,925376,1627349,2805269,2805170,1627295,925334,925333,1627291,2805168,4656382,7370846,255075065,11113474,7370878,4656396,4656398,7370883,11113485,16007732,22121422,22122105,29456005,29456082,29455237,22121880,22121879,29455752,22121746,16008247,16008248,22121981,29455987,38018076,47931986,40206859,31521085,24019754,24019753,29455902,38018011,39928406,31253230,31253231,28418207,28418209,36916047,46793804,58161350,70875548,72058386,59336313,47944484,47944485,39323838,39323839,48313294,38402595,29830438,22463078,16294907,16294909,22463081,29830445,38402600,42321879,33340989,33340990,42321881,48711505,48711504,59324029,47932015,47931580,38017409,29455171,22121103,16007359,11113141,255075051,22121104,29455172,30204940,22813405,16595175,16595174,22813400,30204932,38789726,31511209,31511208,30683987,23267029,23267028,30204934,30204935,30722122,30206630,22814917,16596353,16596356,22814929,24010961,24010960,31511163,40197082,48712159,48712185,48573024,47267826,37357844,28818152,21548961,21548962,28818157,256877747,38790232,38790233,40483629,50219185,40197046,31511115,24010928,24010929,30205078,30205079,30205518,38790249,31511154,24010955,24010954,30205920,30205443,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324868,256315779,38791536,30206881,30206882,38791539,37357893,37357892,38015505,29453319,22119376,22119377,28258766,21057670,21057671,28258772,36753784,38240024,30205404,22813792,16595436,11574165,7704036,7704037,11574168,16595449,22813804,22324578,16931862,16595582,11574260,11574259,11574155,7704048,7704047,11574187,16595475,17895087,17917915,17917914,24301111,28258750,21057918,21057917,16185281,16185282,22331796,22813733,16595385,11574136,7704022,7704023,11574141,16595394,22813739,22324136,16178899,11245610,11245609,16178898,16179442,15125856,10432835,6877999,6877998,6878075,10432958,15126039,16596484,11574899,7704480,7704481,11574902,11574944,11574945,16596537,22815143,17895051 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 234142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9094610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7833485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7909095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 350220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 402689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7990864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6466246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7865789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 354996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6892297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7852341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8145414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8145414, s2 = 238735, int(edited[s2]) = 0 s1 = 8145414, s2 = 238735, d1 = 17, d2 = 10 Dl.O(d1) = 254306319,2322083,3877350,6194896,9449246,10681095,10681096,12930114,12930113,18229558,13782139,9449321,9449319,12930081,12930080,14205216,19830190,19279734,18229537,12930091,12930092,12930101,12930100,13781702,19279416,18229635,18229634,24699334,24699205,254771126,13782128,16932642,23202414,24699330,19279404,255621267,12930161,12930162,18229609,24699312,19279763,19279762,25943146,33276973,25516587,18906720,268032132,7639731,4833394,4833393,254790245,16485456,16485684,22684642,19279503,13781776,9449074,9449077,12930071,18229515,24699235,32312850,25942899,268505731,42781001,33750284,33750285,25943112,19279728,13781976,13781977,19279731,25942897,19279527,13781795,9449087,9449089,13781797,16485590,22684519,16485609,11486300,7639780,7639781,4833420,2912536,1689587,960828,960829,1689589,2912537,4833424,4833378,4833377,7639697,4833382,4833381,7639704,11486170,16485393,22684246,30061501,38635454,32312947,32312946,30061478,22684229,22684228,30061475,25028369,18496416,13140810,8956078 Dl.O(d2) = 5845773,3647977,2180707,2180709,3647982,5845784,8956098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162450, s2 = 9139039, int(edited[s2]) = 0 s1 = 14162450, s2 = 9139039, d1 = 1, d2 = 1 Dl.O(d1) = 257021996,58127569,46759199,36880448,28383941,255384143,15176299,15176298,21124780,15209510,10491643,6918339,4346221,4346220,4346183,4346182,6918278,255384167,28384320,30816169,23386786,17115169,12027312,12027316,17115180,23386806,17461817,12310242,8314797,8314796,12310239,12026646,8085510,5808398,3623009,3623007,5808392,8901136,13062407,18389848,24889722,32534683,256804004,28979334,21696770,15656544,15656543,268389775,37523224,47430734,58817095,71545391,259329561,113029780,126882637,261676457,164751633,175503740,176050969,165360884,262706379,164751629,152920945,140230540,127543597,127543598,140898208,153571951,161347734,149058094,135834651,135834652,149058096,153619076,140952604,260548898,165399358,176080505,185520825,176050975,165360890,165360891,175503732,164751622,152920938,140230533,126882631,113029773,113029772,126882628,140230528,135794287,135794288,149026096,152920929,152920928,164751616,172514167,161323196,260843246,107479785,107479786,113672957,113672958,113672963,272207067,153571953,165360894,176050978,185520818,176050970,175503734,164751627,152920944,140230540,127543597,260940007,107536190,93130798,79015120,79015121,93130799,107536193,260940009,149058097,152920932,140230530,140230531,152920933,263116161,176050972,262675216,152920940,140898201,127543591,113672953,99660285,99660284,99660293,113672966,127543601,140898213,140898197,127543588,113672950,99660281,85712577,72127729,72127730,85712583,85712586,99660292,271798739,140898205,140898206,262706381,165360881,153571938,272466860,127543586,262227437,263144157,263326586,272691088,273031851,261711800,137571395,123883906,109738307,95528475,258120104,256930304,35302244,27183146,20260529,20260528,20260527,14536609,14536610,255757139,19349285,13838404,255243724,6225030,3897006,2333808,1352675,1265725,1265724,2183119,3651180,5850080,8962061,13148933,18507166,25041891,22884806,16656079,11623634,254800793,254366727,973556,973557,1713300,2954605,4902206,6927453,6927454,7690430,7748343,9115794,13342285,10593335,10593336,11552577,7686637,7613880,7613881,7614091,11433207,11433209,11624069,9117917,7697193,7616497,4818995,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,5230515,7583501,254785917,254785919,4897350,2951490,2951489,4897348,7735231,10398325,10398327,12837997,8730044,8730041,6472920,4056399,2428019,1404576,799345,453066,453069,799315,1404484,958362,958364,1685556,2905761,4821991,4821989,254540469,11458021,255484771,30002009,38572611,48485803,59179134,47779914,37856330,29287903,21961826,21961827,29287905,37856332,47670590,47670591,39153549,30555868,23138433,16878154,16878155,23138435,268968109,73233892,84334471,70775944,256390750,36799997,28303051,21094206,15151962,10449696,6888673,4324620,4324619,6888671,10449690,13176574,8981947,5863975,3660956,2190351,2190349,3660948,5863952,8981904,13176490,15972110,22077860,22319423,29670594,31303869,39774241,32787504,25089739,18544367,13176449,13176448,18544363,25089735,32787497,32787618,25089850,25089851,32787621,41701893,52013319,59118320,52013968,41703196,32787624,25089854,25089856,32785794,25089706,25089705,29323154,25090019,18544571,18544570,21092692,21697182,15657177,10838086,7164515,4512378,4512377,7164513,10838084,15657174,21697178,28979592,21697176,21697175,28979589,28312828,21102388,15158022,15158023,21102389,25845022,19190582,13705716,13705715,16303911,16303912,22473720,22506878,21614484,21614485,22793446,22509327,16335741,16335740,21101430,15157333,10781624,10781625,15585554,21614779,21614751,15585245,10781417,10781418,11750297,11750296,11359970,7547357,7547356,7551809,11366961,16337243,22511071,256413061,47639461,37717298,29157042,21848457,21848456,29157040,37717297,38807173,48727822,60122691,72859589,71784288,59042493,47640679,47640678,59042491,53833459,256901746,60093284,72830653,86425685,100381363,114404413,128280338,116406786,259306544,74691391,61897729,50407204,50407205,47530672,39489080,31793170,31793171,40488133,50523668,62015363,74811721,88444088,77353603,64205904,52355575,257778767,258393465,259107561,65905099,75823636,62859805,258335475,269933525 Dl.O(d2) = 257021996,58127569,46759199,36880448,28383941,255384143,15176299,15176298,21124780,15209510,10491643,6918339,4346221,4346220,4346183,4346182,6918278,255384167,28384320,30816169,23386786,17115169,12027312,12027316,17115180,23386806,17461817,12310242,8314797,8314796,12310239,12026646,8085510,5808398,3623009,3623007,5808392,8901136,13062407,18389848,24889722,32534683,256804004,28979334,21696770,15656544,15656543,268389775,37523224,47430734,58817095,71545391,259329561,113029780,126882637,261676457,164751633,175503740,176050969,165360884,262706379,164751629,152920945,140230540,127543597,127543598,140898208,153571951,161347734,149058094,135834651,135834652,149058096,153619076,140952604,260548898,165399358,176080505,185520825,176050975,165360890,165360891,175503732,164751622,152920938,140230533,126882631,113029773,113029772,126882628,140230528,135794287,135794288,149026096,152920929,152920928,164751616,172514167,161323196,260843246,107479785,107479786,113672957,113672958,113672963,272207067,153571953,165360894,176050978,185520818,176050970,175503734,164751627,152920944,140230540,127543597,260940007,107536190,93130798,79015120,79015121,93130799,107536193,260940009,149058097,152920932,140230530,140230531,152920933,263116161,176050972,262675216,152920940,140898201,127543591,113672953,99660285,99660284,99660293,113672966,127543601,140898213,140898197,127543588,113672950,99660281,85712577,72127729,72127730,85712583,85712586,99660292,271798739,140898205,140898206,262706381,165360881,153571938,272466860,127543586,262227437,263144157,263326586,272691088,273031851,261711800,137571395,123883906,109738307,95528475,258120104,256930304,35302244,27183146,20260529,20260528,20260527,14536609,14536610,255757139,19349285,13838404,255243724,6225030,3897006,2333808,1352675,1265725,1265724,2183119,3651180,5850080,8962061,13148933,18507166,25041891,22884806,16656079,11623634,254800793,254366727,973556,973557,1713300,2954605,4902206,6927453,6927454,7690430,7748343,9115794,13342285,10593335,10593336,11552577,7686637,7613880,7613881,7614091,11433207,11433209,11624069,9117917,7697193,7616497,4818995,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,5230515,7583501,254785917,254785919,4897350,2951490,2951489,4897348,7735231,10398325,10398327,12837997,8730044,8730041,6472920,4056399,2428019,1404576,799345,453066,453069,799315,1404484,958362,958364,1685556,2905761,4821991,4821989,254540469,11458021,255484771,30002009,38572611,48485803,59179134,47779914,37856330,29287903,21961826,21961827,29287905,37856332,47670590,47670591,39153549,30555868,23138433,16878154,16878155,23138435,268968109,73233892,84334471,70775944,256390750,36799997,28303051,21094206,15151962,10449696,6888673,4324620,4324619,6888671,10449690,13176574,8981947,5863975,3660956,2190351,2190349,3660948,5863952,8981904,13176490,15972110,22077860,22319423,29670594,31303869,39774241,32787504,25089739,18544367,13176449,13176448,18544363,25089735,32787497,32787618,25089850,25089851,32787621,41701893,52013319,59118320,52013968,41703196,32787624,25089854,25089856,32785794,25089706,25089705,29323154,25090019,18544571,18544570,21092692,21697182,15657177,10838086,7164515,4512378,4512377,7164513,10838084,15657174,21697178,28979592,21697176,21697175,28979589,28312828,21102388,15158022,15158023,21102389,25845022,19190582,13705716,13705715,16303911,16303912,22473720,22506878,21614484,21614485,22793446,22509327,16335741,16335740,21101430,15157333,10781624,10781625,15585554,21614779,21614751,15585245,10781417,10781418,11750297,11750296,11359970,7547357,7547356,7551809,11366961,16337243,22511071,256413061,47639461,37717298,29157042,21848457,21848456,29157040,37717297,38807173,48727822,60122691,72859589,71784288,59042493,47640679,47640678,59042491,53833459,256901746,60093284,72830653,86425685,100381363,114404413,128280338,116406786,259306544,74691391,61897729,50407204,50407205,47530672,39489080,31793170,31793171,40488133,50523668,62015363,74811721,88444088,77353603,64205904,52355575,257778767,258393465,259107561,65905099,75823636,62859805,258335475,269933525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162450, s2 = 9139039, dlinesl.size( ) = 2 s1 = 14162450, s2 = 9139039, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162450, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8047842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7826869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7826869, s2 = 10343391, int(edited[s2]) = 0 s1 = 7826869, s2 = 10343391, d1 = 0, d2 = 13 Dl.O(d1) = 3250950,1908961,1090045,612042,340415,186850,186849,340411,612037,1090032,1908944,3250934,3220591,1887360,1076834,604830,604828,1076827,1887348,1607630,1607627,1616127,1617439,920041,518809,290948,161010,161004,290958,518831,920082,1617509,1870270,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412698,604049,1075233,1613923,2782321,1883081,1883082,3214440,5258694,5294242,3245413,1904913,1904914,1270722,725929,725928,1270718,2189647,3659912,3045864,1773939,1011138,569909,569908,1011136,725877,412719,232957,232956,412716,725872,254294719 Dl.O(d2) = 255581161,8485561,8267961,5598063,4708271,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,5509422,8500106,5501708,3391259,3391260,5501710,8500109,5541589,5541588,8494803,5496080,5496081,8486095,254410093,1136069,1136068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7826869, s2 = 10343391, dlinesl.size( ) = 14 s1 = 10343390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343390, s2 = 7826868, int(edited[s2]) = 0 s1 = 10343390, s2 = 7826868, d1 = 55, d2 = 79 Dl.O(d1) = 31695308,31695309,254410092,40358172,34318792,34318791,27041361,20148305,14453286,9943740,9943739,14453284,13358280,9129387,5974357,3736260,3736258,5974347,5974408,3736283,3736282,5974399,9129472,13358424,18759767,17782631,17782630,24149598,255581160 Dl.O(d2) = 254294718,4128457,2469592,1427425,1427426,2469595,4128462,6589769,7302253,11027849,15906243,20188318,21560392,21560394,22517166,16343729,11372027,7554981,7554492,7554486,4777168,4777167,7554483,11371349,16342913,16345471,12157516,12157518,11371323,11371325,9519919,7557865,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372219,9966479,6550207,4103511,2454524,1418855,807111,457318,457321,807124,1418887,2454600,1871735,1067634,600039,334279,183888,183889,334284,600045,1067646,1067666,1871799,3197754,5238551,8169521,12140058,17260182,17290415,23603148,31071849,25152106,18595133,13214320,13214321,18595134,25152107,255162720,27015718,20123454,14431787,14431788,20123458,17295623,12174298,8206152,5277032,5277033,8206154,12174302,8241911,5313674,3263018,3263019,5313678,8188420,8188421,12157783,14433258,14433373,16320966,11354786,11354788,16320971,22494617,29858465,23607649,23607650,31091537,37449896,47356468,268256272,255567372,30826632,23398965,17126922,12036177,8091678,5184085,5184082,5022786,4380977,4380973,6973757,10572773,8276802,6063604,3793810,2272456,1510107,856435,856431,1510093,2615033,4363756,6943723,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,6964563,5199536,3172130,3172127,5199533,254829129,268246461,30867864,268027322,20970652,20970653,28148914,28483706,254447278,30111491,22731235,16525993,16525995,13497584,9234433,6048021,3784637,3784639,6048031,9234447,12052901,12054514,8104642,5192749,3168616,1855191,1855192,3168246,3168245,3168360,3168326,1855021,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274521,2272918,1318129,1318130,2272922,3794500,6064565,9259472,13518543,13518545,18955063,23430361,20141710,254977803,9939326,6534670,254316877,1416286,805767,805766,1415938,254472441,9939226,14447398,20141546,27034410,28336051,28336053,29840813,22473467,267994882,7538482,7538481,11343947,16303715,17165589,12069348,8115992,8115991,12069342,17165581,22523983,16350918,11378049,11378051,16350919,22523986,23607546,27232465,268433651,17236445,20303502,27232607,35355509,268219312,16287282,16287281,22455516,23599338,31083197,38143683,31090322,31090321,39769032,44552348,35174772,28892183,21615956,21615957,28892186,37381731,28841889,28841888,28304089,28304088,29576826,22229324,22229325,21069636,16302998,11343519,11343520,15586080,16327026,254741912,22567763,16387060,16387061,254591698,22165062,268632491,25090503,22473773,16303955,16303953,18542960,13175597,13175598,18542962,25087931,32785812,41702038,52013391,49770890,39752422,39752423,36573147,36573146,37000878,38339919,33185089,25439913,21987545,254356386,37884769,267973932,21102516,15158106,10453711,10453712,15158108,254506542 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 357192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 357192, s2 = 3213563, int(edited[s2]) = 0 s1 = 357192, s2 = 3213563, d1 = 33, d2 = 22 Dl.O(d1) = 8980748,5863329,3660603,3660604,5863330,8980751,13174558,18541458,25085863,18541440,18541441,22781329,22781330,30170165,38753209,47933878,47933877,48367610,38466137,29908653,22552168,16375419,255405912,7572343,4789016,4789017,7572344,7500588,254778221,16249924,22414684,256407935,48263448,40496543,40496542,50532088,62024016,74820795 Dl.O(d2) = 100971016,86985084,73372324,60626535,49225326,39298319,39298320,49225328,60519364,49117754,39189407,30591965,23173360,16909367,11833767,7908618,5027359,3043144,1772187,1772186,3043142,5027355,7908610,7908686,11833753,7908608,7908609,11833755,16526844,11518514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 357192, s2 = 3213563, dlinesl.size( ) = 2 s1 = 357192, s2 = 3213563, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 357192, Dl.E( ) = 36, 1.5e-05 seconds used appending s1 = 7814415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7814415, s2 = 14094860, int(edited[s2]) = 0 s1 = 7814415, s2 = 14094860, d1 = 1, d2 = 1 Dl.O(d1) = 4419472,7026199,5874097,3667778,3667779,5874099,254500882,18571712,13197310,8996565,5873608,5873607,8996563,13197308,255644515,18571148,25122853,18571160,255244371,13196952,8996346,8996347,13196954,13197064,13197065,18571353,13197085,8996419,5873520,5873519,5873425,5873424,8996251,13196783,18570912,18570864,18570863,25122488,32826607,32826744,41747360,41752656,32831525,32831526,41748383,41748398,257175449,41747394,32826777,32826776,41747391,41751791,41751790,41748389,41748390,52061229,46036203,42860208,42859058,33817580,33817578,42859055,42858970,33817488,26000393,19328087,13821374,13821375,19328091,26000396,32829994,32829993,33818744,33818745,32830229,25125472,25125469,32830225,33818851,33818850,26002527,26002528,26002802,26002801,33819996,257241423,33818797,26001637,19329041,19329042,26001640,26001473,19328919,19328918,26001332,19328824,19328825,19328823,13821881,254667481,6215744,9479338,13821878,13821527,13821526,19328314,13822355,9479629,9479628,13822353,13821599,13821601,19328411,13821624,13821623,19328441,26000842,256165927,20919470,15013073,10342253,6808812,6808811,10342251,15013069,20919467,28093899,25113613,18563410,18563344,13191281,8992546,5871042,3665880,2194132,1274394,728793,728788,1274383,254295217,5871020,268138506,256105471,33053221,41996712,34191622,26319627,26319628,32311666,24698174,18228682,18228681,19159010,13680861,9368721,9368718,13680865,12713356,12713357,17941543,24329816,24329902,17941597,12713393,12713394,16550748,22763887,16619421,11592595,11592593,16619416,22841983,256442081,48738372,60133122,72869813,86465246,100421973,114446292,128322899,141672594,154324954,166074485,176711709,186124211,194327183,201352943,207265513,212140990,216124156,219423986,222211613,224604745,265733209,230084545,231496420,232761672,233905662,234948666,266599943,238268487,238919925,266859899,240070999,240583119,241058269,267090909,242634109,242959725 Dl.O(d2) = 4419472,7026199,5874097,3667778,3667779,5874099,254500882,18571712,13197310,8996565,5873608,5873607,8996563,13197308,255644515,18571148,25122853,18571160,255244371,13196952,8996346,8996347,13196954,13197064,13197065,18571353,13197085,8996419,5873520,5873519,5873425,5873424,8996251,13196783,18570912,18570864,18570863,25122488,32826607,32826744,41747360,41752656,32831525,32831526,41748383,41748398,257175449,41747394,32826777,32826776,41747391,41751791,41751790,41748389,41748390,52061229,46036203,42860208,42859058,33817580,33817578,42859055,42858970,33817488,26000393,19328087,13821374,13821375,19328091,26000396,32829994,32829993,33818744,33818745,32830229,25125472,25125469,32830225,33818851,33818850,26002527,26002528,26002802,26002801,33819996,257241423,33818797,26001637,19329041,19329042,26001640,26001473,19328919,19328918,26001332,19328824,19328825,19328823,13821881,254667481,6215744,9479338,13821878,13821527,13821526,19328314,13822355,9479629,9479628,13822353,13821599,13821601,19328411,13821624,13821623,19328441,26000842,256165927,20919470,15013073,10342253,6808812,6808811,10342251,15013069,20919467,28093899,25113613,18563410,18563344,13191281,8992546,5871042,3665880,2194132,1274394,728793,728788,1274383,254295217,5871020,268138506,256105471,33053221,41996712,34191622,26319627,26319628,32311666,24698174,18228682,18228681,19159010,13680861,9368721,9368718,13680865,12713356,12713357,17941543,24329816,24329902,17941597,12713393,12713394,16550748,22763887,16619421,11592595,11592593,16619416,22841983,256442081,48738372,60133122,72869813,86465246,100421973,114446292,128322899,141672594,154324954,166074485,176711709,186124211,194327183,201352943,207265513,212140990,216124156,219423986,222211613,224604745,265733209,230084545,231496420,232761672,233905662,234948666,266599943,238268487,238919925,266859899,240070999,240583119,241058269,267090909,242634109,242959725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7814415, s2 = 14094860, dlinesl.size( ) = 2 s1 = 7814415, s2 = 14094860, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7814415, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 2513236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7553688, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8265525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13165479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7858462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858462, s2 = 14161272, int(edited[s2]) = 0 s1 = 7858462, s2 = 14161272, d1 = 1, d2 = 1 Dl.O(d1) = 254218013,826371,466558,466556,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,831615,831610,1460372,1462059,2537295,4235882,2557810,2557808,4275724,254219617,1472436,1475239,2561737,4284816,6829750,5925426,5925425,9062204,13277691,12339050,12339049,12464074,17639859,13933924,9564489,8953229,8953226,13136753,9441255,9441258,7141559,7141557,10807869,10696609,9974763,9974762,9974738,9974741,14496539,20202793,22235288,22235289,29583081,25937105,25929042,25929044,33736092,42766204,41797584,32876268,25168449,18610366,18610365,23839600,255206418,5380172,3308345,1946278,1111848,1111849,1946283,1947168,1112330,1112331,1467388,1467390,830224,830223,1459530,1946384,1946375,1111913,1111914,1946381,3308512,2552789,2552791,2535626,1461130,1461113,827071,466889,262728,262729,262740,262739,466908,827099,1461163,1110692,623354,623355,1110696,1944105,3304564,5374084,4252122,4252121,2551341,2551342,4267414,6804472,6806572,4268923,2552278,1473018,833075,469722,264076,264077,264069,264070,469713,833055,1472967,2557334,4277347,3717922,2226332,2226331,3717920,5945505,4280997,2559583,2540886,1463906,828424,467507,467506,828420,1463903,2540878,4250243,6780517,10309231,9060757,5924360,5924359,9060754,13275946,18667662,17505161,13307350,10355395,10355396,10324997,6819773,4278050,2557794,1473267,1473266,2557791,4278042,6819766,10287418,6832234,6832235,10370041,10382360,10308311,6821090,4278939,4278937,6821046,4278909,4278908,2567073,2567077,4227582,2528228,1457040,824968,465886,262215,145338,145337,262207,465868,824935,1456978,2528115,4228170,4281771,4281772,5951921,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332810,597056,1061949,1859355,3176217,5206107,8126201,9062204,13277692,12339050,8335952,5380172,5380171,8335950,12339047,17499495,23839591,23839590,256015853,255366774,30326179,22925090,16690650,16690651,16042101,11138942,11138943,16042104,22164176,22590421,22590420,29947670,22584574,16402162,16402163,22584575,28740486,31719425,24212184,21960110,17843958,12636046,8579446,8579447,12636048,12635807,254692216,24210163,22877517,19821264,14198352,14198349,16052144,22177846,19658515,14091042,14091041,19658512,14095225,9759588,6416956,6416955,9759581,11090160,11090162,15975757,18292776,24248128,22582583,16400146,16400144,12655410,12655407,16400745,16400748,22583264,29946234,30171193,22782547,16566944,16566946,22782382,16566997,11548355,7683052,4861309,2929394,1699196,1699194,254241366,7683012,11548297,16566889,19860779,26398075,26398082,26398163,22780932,17118957,17118956,14095475,14095476,19658824,14091271,14085582,14085584,19651412,22618824,22923177,16688985,11650265,7762268,4916676,4916675,7762264,11650256,16688971,14089662,9690996,9690995,14089659,19656688,19936055,26790846,30168620,22779563,22779562,21103715,21103713,26629961,21198203,21103971,15159245,15159246,13018055,8863451,5777597,254632929,13018065,18338643,17836782,12630697,8575800,8575799,256549339,50440316,61930752,74724315,258375360,259367367 Dl.O(d2) = 254218013,826371,466558,466556,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,831615,831610,1460372,1462059,2537295,4235882,2557810,2557808,4275724,254219617,1472436,1475239,2561737,4284816,6829750,5925426,5925425,9062204,13277691,12339050,12339049,12464074,17639859,13933924,9564489,8953229,8953226,13136753,9441255,9441258,7141559,7141557,10807869,10696609,9974763,9974762,9974738,9974741,14496539,20202793,22235288,22235289,29583081,25937105,25929042,25929044,33736092,42766204,41797584,32876268,25168449,18610366,18610365,23839600,255206418,5380172,3308345,1946278,1111848,1111849,1946283,1947168,1112330,1112331,1467388,1467390,830224,830223,1459530,1946384,1946375,1111913,1111914,1946381,3308512,2552789,2552791,2535626,1461130,1461113,827071,466889,262728,262729,262740,262739,466908,827099,1461163,1110692,623354,623355,1110696,1944105,3304564,5374084,4252122,4252121,2551341,2551342,4267414,6804472,6806572,4268923,2552278,1473018,833075,469722,264076,264077,264069,264070,469713,833055,1472967,2557334,4277347,3717922,2226332,2226331,3717920,5945505,4280997,2559583,2540886,1463906,828424,467507,467506,828420,1463903,2540878,4250243,6780517,10309231,9060757,5924360,5924359,9060754,13275946,18667662,17505161,13307350,10355395,10355396,10324997,6819773,4278050,2557794,1473267,1473266,2557791,4278042,6819766,10287418,6832234,6832235,10370041,10382360,10308311,6821090,4278939,4278937,6821046,4278909,4278908,2567073,2567077,4227582,2528228,1457040,824968,465886,262215,145338,145337,262207,465868,824935,1456978,2528115,4228170,4281771,4281772,5951921,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332810,597056,1061949,1859355,3176217,5206107,8126201,9062204,13277692,12339050,8335952,5380172,5380171,8335950,12339047,17499495,23839591,23839590,256015853,255366774,30326179,22925090,16690650,16690651,16042101,11138942,11138943,16042104,22164176,22590421,22590420,29947670,22584574,16402162,16402163,22584575,28740486,31719425,24212184,21960110,17843958,12636046,8579446,8579447,12636048,12635807,254692216,24210163,22877517,19821264,14198352,14198349,16052144,22177846,19658515,14091042,14091041,19658512,14095225,9759588,6416956,6416955,9759581,11090160,11090162,15975757,18292776,24248128,22582583,16400146,16400144,12655410,12655407,16400745,16400748,22583264,29946234,30171193,22782547,16566944,16566946,22782382,16566997,11548355,7683052,4861309,2929394,1699196,1699194,254241366,7683012,11548297,16566889,19860779,26398075,26398082,26398163,22780932,17118957,17118956,14095475,14095476,19658824,14091271,14085582,14085584,19651412,22618824,22923177,16688985,11650265,7762268,4916676,4916675,7762264,11650256,16688971,14089662,9690996,9690995,14089659,19656688,19936055,26790846,30168620,22779563,22779562,21103715,21103713,26629961,21198203,21103971,15159245,15159246,13018055,8863451,5777597,254632929,13018065,18338643,17836782,12630697,8575800,8575799,256549339,50440316,61930752,74724315,258375360,259367367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858462, s2 = 14161272, dlinesl.size( ) = 2 s1 = 7858462, s2 = 14161272, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7858462, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 360030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6472079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9360318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 994319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 243432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 243432, s2 = 6983005, int(edited[s2]) = 0 s1 = 243432, s2 = 6983005, d1 = 32, d2 = 62 Dl.O(d1) = 5958343,9105999,13327087,18721497,25295856,33022089,41964869,52305319,64156792,256643964,257789522,119686102,133561175,146819913,260275462,149133031 Dl.O(d2) = 122025110,260945381 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 734918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 734918, s2 = 7051539, int(edited[s2]) = 0 s1 = 734918, s2 = 7051539, d1 = 1, d2 = 23 Dl.O(d1) = 18751953,13350977,9123251 Dl.O(d2) = 261481200,173554237,183350549,187415294,263262015,167735166,261860889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 734918, s2 = 7051539, dlinesl.size( ) = 2 s1 = 734918, s2 = 7051539, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 734918, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 10343786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343786, s2 = 4310468, int(edited[s2]) = 0 s1 = 10343786, s2 = 4310468, d1 = 101, d2 = 68 Dl.O(d1) = 257924122,256758696 Dl.O(d2) = 176605917,165960541,154201842,141539098,128181735,114298839,100269008 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 363255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9591656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13369411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13369411, s2 = 4640854, int(edited[s2]) = 0 s1 = 13369411, s2 = 4640854, d1 = 61, d2 = 21 Dl.O(d1) = 27098632,20199174,14493584,254981133,6554541,4106191,4106190,6554540,9973083,14494422,20200194,27099134,35187941,44566286,42044778,33096692,33096691,35188333,27099567,20200040,18470969,13122564,8944167,5838568,254293647,2178259,3643792,5838575,8944179,13122582 Dl.O(d2) = 186666181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13369411, s2 = 4640854, dlinesl.size( ) = 2 s1 = 13369411, s2 = 4640854, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13369411, Dl.E( ) = 72, 2.29e-05 seconds used appending s1 = 9081378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9081378, s2 = 7690322, int(edited[s2]) = 0 s1 = 9081378, s2 = 7690322, d1 = 0, d2 = 0 Dl.O(d1) = 51875677,63673036,62114702,62114703,74918695,88557014,102563315,116661961,130500539,143824636,156346445,167924340,178349676,187422824,178198854,167745579,156143447,259696242,116445197,257821926,74728062,61934608,50443989,40410055,268030510,17840597,13896438,13896439,19422865,17522146,12356753,8348722,255565925,27958759,27958760,30084860,22703033,17839984,17839987,24210091,29970686,24212426,24212427,19055626,15926707,15926708,22027625,29358033,31890318,29412194,22081696,15975852,13531431,9261625,9261626,6066094,3795388,3795389,6066098,9261762,13531622,9261737,9261738,11138821,11138818,15975726,19654413,19655951,26390286,26398555,26398556,26384715,254785084,12638191,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086744,12028566,254761726,23393382,23179028,17119790,17119789,12297526,8305585,8305586,12297527,17445736,21978672,15883624,15883623,21978670,27280301,29305471,29305460,21977890,15883432,11010393,7288761,4596345,2765084,2765083,4596343,7288757,11010381,15883410,18764537,13381966,9146989,5985793,5985792,9146988,13381965,18788203,25372864,33108136,42057374,52401303,258397055,259651265,105542196,119775556,133645512,146899030,272693238,89897799,76096453,63095474,63095475,258347057,51402582,256594759,24766740,18288976,12981205,8836641,5758352,3586040,254431795,1233658,700644,393965,226284,226288,214967,117840 Dl.O(d2) = 51875677,63673036,62114702,62114703,74918695,88557014,102563315,116661961,130500539,143824636,156346445,167924340,178349676,187422824,178198854,167745579,156143447,259696242,116445197,257821926,74728062,61934608,50443989,40410055,268030510,17840597,13896438,13896439,19422865,17522146,12356753,8348722,255565925,27958759,27958760,30084860,22703033,17839984,17839987,24210091,29970686,24212426,24212427,19055626,15926707,15926708,22027625,29358033,31890318,29412194,22081696,15975852,13531431,9261625,9261626,6066094,3795388,3795389,6066098,9261762,13531622,9261737,9261738,11138821,11138818,15975726,19654413,19655951,26390286,26398555,26398556,26384715,254785084,12638191,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086744,12028566,254761726,23393382,23179028,17119790,17119789,12297526,8305585,8305586,12297527,17445736,21978672,15883624,15883623,21978670,27280301,29305471,29305460,21977890,15883432,11010393,7288761,4596345,2765084,2765083,4596343,7288757,11010381,15883410,18764537,13381966,9146989,5985793,5985792,9146988,13381965,18788203,25372864,33108136,42057374,52401303,258397055,259651265,105542196,119775556,133645512,146899030,272693238,89897799,76096453,63095474,63095475,258347057,51402582,256594759,24766740,18288976,12981205,8836641,5758352,3586040,254431795,1233658,700644,393965,226284,226288,214967,117840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9081378, s2 = 7690322, dlinesl.size( ) = 2 s1 = 9081378, s2 = 7690322, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9081378, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6601731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2745724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2745724, s2 = 6431476, int(edited[s2]) = 0 s1 = 2745724, s2 = 6431476, d1 = 57, d2 = 47 Dl.O(d1) = 79265213,259028528,255259874 Dl.O(d2) = 254298973,1304434,744327,422778,238558,238559,422785,744340,822971,744037,422617,238474,131754,131753,238471,254080343,57032,57033,103715,103726,103725,189932,267772005 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13420387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13420387, s2 = 245316, int(edited[s2]) = 0 s1 = 13420387, s2 = 245316, d1 = 1, d2 = 1 Dl.O(d1) = 6415820,9757507,9757500,254963695,18838825,14193833,9757499,9757495,9757494,13172521,18538719,18837831,18837832,14912768,10254008,6737741,4221762,2524259,2524255,4221757,6737733,10253997,9757493,9176455,6006024,6006023,6006021,6006020 Dl.O(d2) = 6415820,9757507,9757500,254963695,18838825,14193833,9757499,9757495,9757494,13172521,18538719,18837831,18837832,14912768,10254008,6737741,4221762,2524259,2524255,4221757,6737733,10253997,9757493,9176455,6006024,6006023,6006021,6006020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13420387, s2 = 245316, dlinesl.size( ) = 2 s1 = 13420387, s2 = 245316, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13420387, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 364926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 364926, s2 = 15087027, int(edited[s2]) = 0 s1 = 364926, s2 = 15087027, d1 = 0, d2 = 0 Dl.O(d1) = 9177793,6006944,3756821,2250139,1305520,1305519,2250138,3756819,3303305,2413031,2413033,4026760,254681661,9176402,13421413,18538810,13172602,267927393,5862422 Dl.O(d2) = 9177793,6006944,3756821,2250139,1305520,1305519,2250138,3756819,3303305,2413031,2413033,4026760,254681661,9176402,13421413,18538810,13172602,267927393,5862422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 364926, s2 = 15087027, dlinesl.size( ) = 2 s1 = 364926, s2 = 15087027, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 364926, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7870526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7870526, s2 = 9684425, int(edited[s2]) = 0 s1 = 7870526, s2 = 9684425, d1 = 72, d2 = 115 Dl.O(d1) = 256491480,255540572,10044689,14597958,20339965,14602300,10047770,10047769,11486391,7639847,7639848,11486394,16485751,12649686,8588649,5580778,4738688,2855939,1657492,1657491,2053405,3462586,5580786,8588663,9757258,9757259,9184392,6011294,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399 Dl.O(d2) = 5972161,9126345,13354360,18754890,25334142,33063271,42007101,34607059,26618941,26618940,26618926,26618925,34607052,42007216,33063384,25334224,18754951,13354399,9126369,9126368,13354398,18754950,255656237,18754956,256118775,42007220,41232748,256140177,18993527,13553993,9279110,9279109,13553991,18993524,254758332,6104949,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271433,13543163,18979525,13669317,9360633,9360634,13669323,16266638,19113802,255675303,18995690,25608266,33373026,256952043,37484319,33459085,25687158,19063332,13609202,13609203,12574379,12574380,9352402,9352404,13657657,12323202,12323200,17478492,19087635,19102833,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124602,9350500,13654903,11309258,7508384,7508385,11309263,12372922,8565746,5561867,3445967,2040364,2040366,3445970,5561872,8565752,12618838,13571413,19015363,25631160,33370726,25605952,25605951,25623830,25623831,25649676,19125711,19125712,25764360,25654675,19035799,13587831,13545999,13546002,9333887,6113856,6113854,9333878,13631143,19092696,13656225,9351444,9351443,13205030,18581877,25135706,18581929,13205062,9001813,9001814,13205066,13204802,9001787,5876777,3669297,254437961,9001778,13204992,18581819,16265851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7870526, s2 = 9684425, dlinesl.size( ) = 8 s1 = 7899480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6441653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6891106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6891106, s2 = 519987, int(edited[s2]) = 0 s1 = 6891106, s2 = 519987, d1 = 56, d2 = 62 Dl.O(d1) = 259729998,24773386,20022741,14340934,10241713,9184935 Dl.O(d2) = 18646284,13258495,13258494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6891106, s2 = 519987, dlinesl.size( ) = 66 s1 = 15217833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9396911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9396911, s2 = 14287289, int(edited[s2]) = 0 s1 = 9396911, s2 = 14287289, d1 = 53, d2 = 42 Dl.O(d1) = 257656511,40085236,257656513,257256886,255299458,13230979,12904011,8777908,8777910,12904019,13433787,9184713,6011514,3759870,3759871,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011568,6011565,8777811,12903849,9022504,9022503,13108239,13108237,18452389,24972465,32644020,31692280,31692281,40385715,32644451,32644452,41532170,32647237,268152708 Dl.O(d2) = 272412882,142690343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9396911, s2 = 14287289, dlinesl.size( ) = 30 s1 = 161371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8050196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14483003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 741528, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10355497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355497, s2 = 14162753, int(edited[s2]) = 0 s1 = 10355497, s2 = 14162753, d1 = 34, d2 = 33 Dl.O(d1) = 265004164,273726144,263177754,154205556,271349894,64550191,255108966,18915410,254791336,19676226,26411403,34286729,28787170,28787171,26170445,26170444,28787300,28787301,254169180,16499005,11502777,7651380,7651382,11502780,14105572,11495728,11495727,14105498,14105499,19676208,26411390,28787264,26150450,26150451,19676384,255108462,16498992,16498993,16498672,11495565,7646013,7646012,8958144,5847197,5847196,8958143 Dl.O(d2) = 6011565,8777807,9613872,13994201,16506238,11502097,11502096,16500887,11497398,7647469,4838511,4838512,7647472,4840675,2917023,1692112,1692111,2917017,4840664,7647181,7647180,11497024,16500423,22704191,269808570,255458160,7378735,11124615,7378720,4661564,2808373,1629204,1629202,2808367,4661555,7378704,268082588,4661468,4661467,2808387,1629212,1629211,2808384,4661579,7378739,11124652,16022409,22139253,16022187,255451007,22139562,22139230,16022174,11124484,7378631,4661509,254349762,926401,522171,522172,926403,254235125,4661515,7378643,11124504,11124516,16022222,16022223,16022177,16022178,22139236,29476122,33425673,33425674,29476145,29476146,38038724,38038725,37997214,37997213,255464958,22139097,16022083,16021932,16021931,22138882,29475708,29476031,22252474,16114322,11193487,11193488,16114325,21959406,21959407,29285081,36717298,36717299,37997264,37997262,255464956,22301198,29652941,23763728,23763726,31248082,39923639,47952456,44785528,35361527,35361525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355497, s2 = 14162753, dlinesl.size( ) = 18 s1 = 8163063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8163063, s2 = 7998661, int(edited[s2]) = 0 s1 = 8163063, s2 = 7998661, d1 = 12, d2 = 11 Dl.O(d1) = 65472187,53452486,257247534,256170910 Dl.O(d2) = 256108087,256678452,37509979,28966569,21684610,15645406,15645404,15645403,254942426,25516775,33277138,259665575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8163063, s2 = 7998661, dlinesl.size( ) = 2 s1 = 8163063, s2 = 7998661, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8163063, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 7910290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9500174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7924355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8172783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 746140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13294023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13294023, s2 = 11548856, int(edited[s2]) = 0 s1 = 13294023, s2 = 11548856, d1 = 48, d2 = 39 Dl.O(d1) = 42354876,33366106,25601675,18989511,13550437 Dl.O(d2) = 265593862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13294023, s2 = 11548856, dlinesl.size( ) = 22 s1 = 369375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 748855, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14483187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1329459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1329459, s2 = 11359572, int(edited[s2]) = 0 s1 = 1329459, s2 = 11359572, d1 = 19, d2 = 11 Dl.O(d1) = 33413580,25646532,19029040,13582691,9300325,6092295,6092294 Dl.O(d2) = 261949633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1329459, s2 = 11359572, dlinesl.size( ) = 12 s1 = 534988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 249956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 250817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 250817, s2 = 14497098, int(edited[s2]) = 0 s1 = 250817, s2 = 14497098, d1 = 0, d2 = 12 Dl.O(d1) = 6112880 Dl.O(d2) = 19692019,255940565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 250817, s2 = 14497098, dlinesl.size( ) = 2 s1 = 250817, s2 = 14497098, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 250817, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6514117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 371901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 251215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 372601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7553842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8001358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8001358, s2 = 12257867, int(edited[s2]) = 0 s1 = 8001358, s2 = 12257867, d1 = 49, d2 = 52 Dl.O(d1) = 268548530,2529337,254480595,10272837,14936838,20835604,15648657,10831313,7159930,4509522,4509523,5719193,8781314,10705178,7072540,4452819,2675057,1549539,880911,497067,497066,254159907,2675048,4452800,7072493,7672077,254997884,10311638,268197363,28050130,256812865,33612790,25813572,19164687,19164686,13685237,9371935,6139002 Dl.O(d2) = 36438394,256468904,36438395,46291510,271283189,138764571,142173558,142173557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8001358, s2 = 12257867, dlinesl.size( ) = 14 s1 = 373385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6474434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162606, s2 = 13252248, int(edited[s2]) = 0 s1 = 14162606, s2 = 13252248, d1 = 16, d2 = 14 Dl.O(d1) = 17715109,12531785,8493000,5501873,3391445,1998616,1142361,640824,355693,194940,194939,355691,640819,1142352,1998599,3038317,1768988,1008143,652851,362002,198134,107997,107996,198131,361996,652837,1163360,1295616,739477,739476,1295610,2234177,3731779,3418103,2018122,2018123,3418106,5532539,8496999,5498403,3388129,3388130,3038314,3038313,3390418,5500873,3436553,2032899,1164307,1164308,2032902,3436556,4672888,2815243,1633278,943285,943284,1657806,2856462,2815339,2815340,4673047,2815816,1633590,928999,523637,293467,162301,89217,49068,27440,15545,15544,27432,49048,89183,162245,293384,523486,928754,1633171,2815039,4672433,2911121,1688782,960390,960392,1688790,2911136,4831203,7398315,11153965,11152453,7399479,7399478,11152455,16061593,11469014,7628788,7396554,7106617,4474197,4474193,7106602,4739605,4739607,4825978,4825980,7627640,7398343,7395868,7395869,7397834,4673538,2815632,1633495,928937,523611,523613,928956,928690,523447,293361,293362,523451,523478,928742,1633147,2815008,4672478,2815528,2815184,2815183,4672789,7396707,11151829,11152953,11152952,16062231,16479253,22195008,16066440,16062862,16062221,15990997,11100976,7361828,4650174,2801041,2801040,4650167,7361822,4696705,2829821,1641868,1641834,1641835,2829763,4696614,4673384,2815544,1633443,1633444,2815548,4673393,7397223,7399571,4674511,4674512,7395949,7395939,4672281,4672279,7395937,255078003,10756713,7106705,4474250,2688024,2688022,4474249,7106702,254771337,16126494,18897446,13465850,13465849,16125558,16125557,22266759,22266806,22266793,16125625,254771269,4696741,4696742,7432704,7432703,7432556,7432557,7432498,7432497,11201476,11203126,16060633,16126265,11202275,7433075,4696971,4696900,2829926,2829924,4696891,4696573,2830063,1642004,933677,526190,294839,163056,89613,89614,163061,294852,526222,933741,1642106,2830280,4696390,2829624,1641753,1641754,2829628,4696399,7432170,11201055,16124865,22266068,16125648,11201784,11201785,16125651,16125616,16125617,11202158,7433752,4697454,4697455,7433754,11203193,16126871,16126870,22267918,16127474,11203273,7433801,7433802,11203277,16125191,16124995,11201210,7433109,4697004,2829984,1641953,933648,526178,526179,933653,1641963,2829962,4696778,4696755,2829862,2829860,4696772,7432766,7433181,4697064,2830011,2830008,4697054,7433160,11202372,7433515,4697314,4697316,4697349,2830180,1642057,1642055,2830173,4697331,7433548,11202913,16127048,22266432,16125177,16125175,16126875,22266623,16125366,16125367,22266627,16125397,11201528,11201527,16125392,11201915,7432822,4696804,2829883,1641902,1641904,2829891,4696830,4697019,7432803,7432802,11201438,11150172,7395508,4672039,4672042,7395520,11150200,16058547,22185579,22154296,16126905,16126906,22267952,23330894,22267963,22267964,22267396,16127087,16127086,16126988,11202901,11202900,255460579,29619027,255968864,255137538,8903910,5810205,5810206,254900205,268283799,23199932,30621762,29528131,29528130,38091820,256385098,38185534,38798830,255968862,18396308,13066679,255234143,24898974,18396315,13066684,13066683,18396313,23204978,30627636,30621906,23200079,16930871,11849644,7919892,5035250,3048755,3048751,5035236,7919864,11849594,16930800,23199989,255076598,49145599,49145643,46790816,36913230,36913231,46790819,39734776,256938416,256877452,255844134,25110836,268735549,39219031,30621758,23199929,16930758,16930759,23199931,30621759,39219033,39219082,39219083,36825230,36825229,46707259,58078926,48108309,48108308,58158206,48059061,48059062,48059066,48059067,49152307,39734772,39734771,47648200,37726211,256396296,28415561,36913237,30621704,23199882,16930717,11849548,7919835,5035222,5035221,7919830,11849545,16930712,23199873,29631550,29631551,29913600,29493260,29493262,28329738,28329737,36825315,36825087,28329529,28329530,36825090,28329650,21118988,21118986,28329658,29913592,38471774,38100754,38100753,38198065,38198067,46707150,36825083,28329552,21118890,18858951,18858945,13436723,13436721,18858936,25458415,29535534,29535530,29535529,38099425,31163290,23674799,23674800,31163293,38099716,29535880,29535878,38099709,30621685,30621686,29536300,22556235,16378560,11398852,11398849,16033928,16033929,22154244,22192482,22192484,29535721,29535894,29535893,36825258,28329669,28329668,36825250,33205848,29535264,29535263,29535479,29535478,28329593,21118928,15171867,10463653,6897279,6897278,10463648,15171854,16064082,18858927,25458404,29535541,22192291,16064085,16064086,22192295,21946569,21946568,22193723,16065300,16065299,22193720,16466071,16466068,22660026,22194298,22194297,29537388,29535701,22192458,16064206,11154371,11154373,16064213,16064234,16064235,22192394,22192396,22660257,29535712,29535715,29268862,21946538,21946537,22192027,16063884,11154174,11154172,16063882,16064374,22192641,21118882,21118881,22194156,29535253,22266485,22192632,22192635,17487199,12329787,8329208,5375685,5375684,8329204,12329776,11155087,7398956,4674164,4674163,7398951,11155079,16065336,22193771,22193800,22192904,16064591,11199433,11199434,16064191,11154366,11154367,11154393,7398555,7398557,11154399,11472933,11155374,11155373,16065710,15857327,10990899,7275729,7275727,4674029,4674030,7398692,7398742,4674054,4674055,7398747,11154711,11155391,16065729,12329798,12329797,17487211,23824083,22194064,17487189,17487167,12329760,8329195,8329192,12329752,16065361,16063968,16063966,22192116,22193203,16064885,16064883,16466395,16065911,11155517,7399200,254767661,255078487,16466475,11473060,7631251,7631250,11473055,11473013,7631226,4828052,4828051,254789355,7631148,7631149,11472916,16466287,22192153,21128641,15180215,10470753,10470754,7399108,7399106,255078485,22192329,21128726,15180287,10470792,10470793,15180289,21128728,16466470,16466469,22660329,16466342,255486643,16065865,16065868,11780338,11780337,16845097,16845138,22193144,16064826,16064123,11154333,7398524,4673945,4673944,7398520,7398835,7398836,7398900,11154961,16064958,16065789,19778596,14166935,9739564,6404498,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,11780399,16845211,16845107,11780339,11780340,16845110,22191772,16063712,16063711,22191768,21068968,21068967,28271816,36766730,36837791,38100169,29536525,29536526,29536451,22193254,16064940,11154823,11154821,16064931,22193243,29536436,38100149,48010940,38619450,30045561,30045560,38619448,46631054,46631053,257510587,48010274,38620925,30047214,29767029,256335446,30045474,36821341,36821342,46703930,46703935,58076039,47958073,47958074,38337964,30048045,22672667,22672668,30048047,30518076,30518075,38619439,30045537,22670157,16474387,11478491,11478492,16474389,22670160,30045540,30045529,29535092,29535091,255599349,17946763,24336745,30047217,22671870,16475846,11479495,11479493,16475845,16476614,11480008,11480009,16241981,22404205,16474233,11478388,7634394,4829857,4829858,7634400,11478399,16474246,22669745,22670369,16476749,16475725,16475726,11479437,11479439,16474202,11478370,11478371,16037878,16037877,16474086,22159021,22159022,256385247,22670054,16474523,254789659,254361509,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,4830626,4830473,2910752,2910729,1688575,1688576,2910647,4739224,2856262,1657698,943231,943232,1657705,2856274,4739256,7497224,11292061,16242192,11478234,7634312,7634313,7636672,4831257,2911155,2911154,4831248,7636646,7396495,4672642,4672644,7396502,11151582,16060382,11474254,7631973,4828480,4828478,7631966,11474223,16060983,11467974,11467973,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,167909,167910,303314,541259,541023,541022,959835,1687710,2909159,3394919,2001042,1143755,1143753,2001039,3394917,3456511,3375728,2838695,1646732,936351,936350,1646729,2838689,4712119,5545398,5513922,5495814,5495815,5513297,3400385,3033189,3033190,5015011,5508751,5518223,5531618,5498353,3388093,1995994,1995995,3388140,3436620,3436621,5551923,3450680,3450681,5566724,5527667,254374713,1768076,267794003,5499308,5516704,267914135,255194305,254609973,3416047,2016576,1153608,647189,359103,359101,647187,363474,363473,655566,1168041,2038442,1995844,1995845,1705929,969724,546159,305895,305890,546163,653705,653709,368744,368745,362597,198441,198438,362589,653887,1165123,2034196,3438410,5489775,3380479,3380478,5489773,5483081,3374128,1992158,1138416,638717,638716,1138414,1992151,2013684,2013683,2028208,3396554,2016617,1991173,1141117,652727,254138701,2031029,3409243,2011535,2002706,2002707,1397635,1397634,2414530,4029419,6422957,254697616,19836151,26649697,30638283,23215166,16943121,16943120,23215164,256470805,49150838,47690655,37769378,37769381,47690658,40566378,31864446,31864447,40108277,31428348,23937211,17593777,17593778,23937214,31428350,40108279,39924022,39924023,37585680,37585679,31248436,23764026,23763933,23763934,23763978,17436128,12290039,8300086,5354567,3290965,1935316,1935317,3290968,5354573,8300097,12290057,17436161,16943137,11858060,7924946,5037852,5037851,7924942,11858053,16943123,23215168,30638285,39236365,44411689,35037112,26957115,20073192,20073193,14390341,9896280,9896281,14390342,15981578,22088129,29418161,29418008,22087977,17919300,12696069,8625304,8625305,255205829,24302801,29439521,37980991,33653085,25848694,25848693,25848896,25848022,19193106,13707691,13707692,19193109,13708101,254663191,268026462,1338177,2306180,3848977,6151190 Dl.O(d2) = 268199924,10591176,254488688,4390200,6986682,10591178,254498137,2634005,254332931,6994155,10600964,15346845,13160972,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,12850876,254471364,255288999,15354310,21326287,17828634,12623932,12623931,17828631,254445040,16470200,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496285,17838831,17703777,14456183,9945506,6536541,4095412,4095411,6223126,6536665,6536664,9945713,6536723,6536724,9945801,14456640,20150251,14454778,9944632,6536025,4095140,4095137,6536014,9944601,14454721,11818391,11818389,11743985,11743986,16796145,23041076,29667534,22315845,22315846,29667536,35129086,254773548,29662835,29662834,25102740,254774120,13183781,18554155,19704856,26443986,29667515,29667514,29667543,24166780,24166781,31676036,31676096,24166867,22317555,16861491,16861492,16171362,255021686,7459515,11238979,16171364,22316448,29668099,38233987,255463694,39899514,31222749,31222748,39316906,30718718,23301433,23301434,23694546,23694547,31184323,29668028,22316381,17460372,12309097,12309098,17460374,17460364,15851823,15851826,255168186,29667613,26443687,19704575,14128476,9719931,6394152,6394151,9719929,14128472,255165756,28271298,21068525,15133659,255378411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162606, s2 = 13252248, dlinesl.size( ) = 10 s1 = 294301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8381024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6474616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 540610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9139452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9139452, s2 = 14163333, int(edited[s2]) = 0 s1 = 9139452, s2 = 14163333, d1 = 8, d2 = 11 Dl.O(d1) = 74614231,61822506,50339368,46848493,36969633,36969634,46848494,46848495,50339219,51172538,41017955,41017956,49084349,39154460,32295297,32295298,32938742,25221176,256108451,41105701,41105700,51285687,49084290,49084289,55289669,55289670,49084331,39154433,39154434,49084334,60487648,52199631,52199630,64037695,77174477,91085756,98419567,84497907,257757258,46848538,36969687,28471188,24631056,18176844,12890731,8767451,254429029,3552967,5709013,8767448,12890730,18176841,24631052,32227131,39103041,49032494,60436527,49084311,39154413,30556829,23139427,23139425,30556823,32227115,24631035,24631034,32227110,40362883,39154367,32227093,24631020,24631019,256073189,256073191,32227123,41017946,42984335,33930354,26096972,19407702,19407703,26096975,25928597,19266620,255264528,9440883 Dl.O(d2) = 2318580,2341497,2341310,2341308,2342354,2342352,3912469,6249454,9526927,13884723,19407704,19407764,19407765,26097030,33930402,42984393,42984391,42984392,53459204,65479727,78810345,92916575,107321065,107321066,121701882,135645334,126161539,112300842,98317662,84407680,70850039,70850038,70850037,58135726,46768020,46768019,255813714,256841544,62647757,259575823,117578222,117578223,117578224,131378737,144601746,262399483,168446571,178752759,187857360,195797951,202599630,208316826,264839869,265266289,224061566,221602100,221602101,218738448,215346227,211240621,206215595,200138710,263481242,174947570,164126586,152239962,139508904,260500776,98293449,84384691,258028071,28362514,21146743,15193719,15193720,255382619,10479861,10479862,15193769,21146720,15193956,10480027,6909679,4339613,2597980,1498696,849324,479623,479622,849321,254222365,4339585,6909629,4339640,4339639,6909729,10480109,15194074,21147151,21147150,268607489,21146789,15193758,15193757,21146788,15194259,15193998,15193997,15194122,15194121,21147206,28362974,33501799,28362870,21147108,15194025,15194024,21147107,28362869,24914406,21147136,15194054,10480095,10480096,15194059,16775492,23015396,30420450,39009756,48933220,256330394,28169659,20989163,15076079,15076078,11531857,10398877,10398875,10398873,10398687,6854796,4301924,2572053,2572051,254715971,15076097,20989184,28169683,256825985,57869133,70571101,84107922,97982933,270833318,74114820,61332384,49849213,49849212,61332381,257446816,52691253,48963890,39042593,30453170,23044826,16799014,11745861,7842070,4977976,3007114,1746989,1746988,3007111,4977968,7842050,11247853,16181923,16182013,22328092,22911473,22911474,22327931,16181917,11247845,11247846,11745708,16241029,11291232,7841985,4977928,4977927,7841982,11745715,16798789,23044482,30452740,26956845,26956848,35036835,29482611,22144552,16026050,11127154,11127156,16026053,22144558,29482620,36767484,28272510,21069593,21069591,28272502,28381774,21164298,15207691,15207689,21164293,28381767,36878051,46756755,58125118,58125144,62961265,51285783,51285784,55258942,47255049,47255048,49162413,60562205,72979477,73305846,84957953,71382847,61586545,50106602,40086039,38045890,256926271,59349761,60562233,49162451,49162450,60562230,49162568,49162567,60562343,71980998,60562331,49162555,39235793,39235792,49162551,60562329,65732320,61604584,50124637,256513188,47847197,41764965,41764967,52078199,47847297,37927446,37927445,47847296,58655558,47263740,39007324,30418099,23013078,23013079,30418101,39007330,47263747,48931056,42663445,34088629,26227465,22030366,22030367,22030368,29360999,37927410,47847249,47847027,37927195,29360838,22030259,15929017,11052205,7327765,4628655,4628654,7327763,11052201,15929008,22030242,17591231,12416930,12416928,17591240,23934023,254744544,19512301,13966833,13966834,19512307,26227504,34088693,43172006,49396130,50685448,58260358,59234442,59234443,71972138,85559345,85372103,71782797,59041073,47639187,37716811,256358558,15776930,10928849,10928850,15776931,255865817,256901633,259341253,72878744,72878743,258799774,256986980,46391329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9139452, s2 = 14163333, dlinesl.size( ) = 12 s1 = 254517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655732, s2 = 377353, int(edited[s2]) = 0 s1 = 11655732, s2 = 377353, d1 = 17, d2 = 2 Dl.O(d1) = 255151714,29808517,29808516,38380476,48291160,38380469,38380435,38380436,38380488,29808524,29808522,22442239,22442240,22442179,22442180,29808849,29808853,29808854,38380917,255600594,41831104,52149714,60787077,58184382,52190769,41863493,36939914,36939915,46817917,58184378,70897602,59536704,48149972,48149973,59536706,64028163,64028164,72463104,59727524,59727525,70868841,59727517,257499340,257665490,48149971,256399981,22325019,16179602,11246127,11246128,16179604,22325023,29676033,38240840,48149984,48149969,48149968,50529017,50529016,62021029,74817982,85495304,72270622,59536716,48149982,48149966,38240829,29676024,22325017,22325018,29676026,38240832,31798349,24284329,24284330,31798351,40493379,50529018,62021020,50529010,48149951,38240816,38240815,48149948,59536685,48776961,48776960,60107952,48712744,38790810,30206116,30206117,38790812,48712747,60107956,61928720,61928719,74722332,85495305,88177321,258280751,61779266,74562663,84932392,71355459,71355460,72844406,60107969,48712756,38790817,38790816,48712754,60107963,72844399,86438988,74817978,74817977,86333444,73657620,73657622,72736006,59999076,256975679,30116165,22735029,16528835,11519734,7663007,4848360,2921531,2921532,4848362,7663010,11519739,16528843,22735044,30116187,268956199,59999163,72736096,72234206,72234205,60104106,48708598,48708597,48607769,48607770,48607739,48607738,59999147,59498766,49218343,49218345,58490986,50335426,50335427,61818698,60619067,49218357,49218355,60619064,73363748,81561848,81561849,86333482,76118107,63112432,51415588,41218802,32395391,32395390,32395394,41218806,51415595,63112437,68071942,63112443,51415601,51415600,63112441,67803329,257472388,41120459,41120460,48876061,38956566,38956568,35232089,27137399,20931235,15023252,15023251,20931232,27137413,20284605,14554710,10014869,10014870,14554715,20284613,27213118,35337409,35337386,27213108,27213110,35337394,38444689,29888604,22534435,16360888,16360884,22000045,29330561,37899095,256103618,16876663,16876627,16876626,23136898,30554488,37146762,30554048,30554047,30554305,30554306,30554310,30554311,256464857,30554424,30554163,268307622,30554382,23136744,16876478,11806624,7886002,7886001,11806621,16876471,23136734,23136580,23136404,16876515,16876514,23136775,21432429,15438654,10673287,10673288,15438656,21432433,28681791,37205373,46933065,37054678,28554314,28554313,37054676,28628170,21389868,15405569,15405571,21389874,19187931,19187930,21647917,19188027,19188029,19188026,19188025,21647682,21647676,21647677,28923315,31859942,24337860,17947826,17947827,24337862,24337005,17946984,12717323,12717324,17946985,24336984,23714475,23714476,17947214,17947213,22339577,256401269,33813766,25996934,255646320 Dl.O(d2) = 9477128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 356805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6585438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6585438, s2 = 7899481, int(edited[s2]) = 0 s1 = 6585438, s2 = 7899481, d1 = 5, d2 = 3 Dl.O(d1) = 256255383,45658833,258940634 Dl.O(d2) = 438381,438376,441987,779181,779402,1368754,2363964,3947852,6163896,6218722,9483707,13827916,12722320,8644788,5622500,3493160,2075249,254423877,5622538,8644830,12722371,17953205,255589334,13970892,9593565,6298386,6298387,9593569,267844208,24562241,24562236,24562237,31866853,26233437,19517207,13970917,9593590,9593589,13970915,19517204,26233435,22543218,22543219,29898643,26150630,19452208,13920414,13920413,19452205,26150627,24344174,17953195,17953196,24344175,17953268,255599961,24344190,26150626,26150625,256693555,256414225,22543774,16368224,11391061,7568147,4785743,4785744,4785636,4785635,7567950,4785632,2884107,254358337,4785645,2884113,2884114,4785646,7567970,11390761,11390933,11390934,16368007,11390921,11390922,16368010,22543551,22543644,22543364,16367895,11390846,11390844,16367892,22543362,22543266,16367802,11390781,7567987,4785656,2884117,2884118,4785663,7567999,11390801,16367829,16368143,13970934,13970933,255476999,16368103,11390982,7568109,7568110,11390987,16368112,22543327,16367862,11390823,11390824,11390864,255097687,15783573,15783571,21854991,29163668,29899078,22543565,22543566,29899081,37723605,29163677,21854997,21854995,254914712,11390950,11390951,16368043,22543581,22543243,16367781,11390772,7567979,7567980,11390776,16367787,11391035,7568132,7568131,11391029,16368166,22543484,22543409,22543411,29898671,29898670,22543348,16367884,11390838,7568022,4785680,2884128,2884129,4785686,7568040,7234710,7234709,7883909,7883908,9004664,9004665,254297374,24578848,32164063,33569461,33569460,42586466,53026244,65000935,269495184,62716897,64976747,53001852,53001851,64976746,65538562,53514365,257644164,58258330,46891450,37012460,28513423,28513422,37012459,38168070,29601023,22251210,16112938,255897627,37927155,47846990,47847352,37927507,29361065,22030416,15929119,255854884,21810514,19634129,19634127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6585438, s2 = 7899481, dlinesl.size( ) = 12 s1 = 7860661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7860661, s2 = 11446394, int(edited[s2]) = 0 s1 = 7860661, s2 = 11446394, d1 = 1, d2 = 1 Dl.O(d1) = 258539070,64198469,52348199,50931117,50931116,258318075,89209418,91044000,77139504,256589490,52176165,64009113,64009222,64009221,70834430,70834431,259279977,112281613,270810718,70834418,70834419,84391443,98299988,112281612,269635630,77139627,64009235,64009237,77139629,91044093,105253664,119478223,133337462,271657118,123561226,123561227,137293012,150334466,162469150,173508269,183309978,263797501,205488476,264682648,210648832,214864862,218334057,265670837,229459228,266077961,233442275,234523974,235509564,236223809,235309192,234306028,233203797,266053072,227397819,225433565,223173927,220559373,217485114,264623668,203830955,263711564,180684028,262462036,133584755,119710346,119710347,133584757,141439401,128074023,128074024,129714250,115815472,101769833,87797599,87797600,74194257,61415625,268740130,31244003,29986186,29986187,256480567,23336971,23336972,23759615,23759605,17432106,12286691,8297586,254399927,1934611,254134617,620043,1105029,1934616,3289807,5352839,8297594,12286714,17432137,23759637,31244039,39919702,49937603,258724011,59138010,59138011,71876139,59137997,47739361,37817015,29251777,21930964,21930963,21930968,21930967,29251784,256910281,258724009,99401580,113402382,121043974,260189868,65161272,53176489,42726977,33697170,25891194,19231817,13739752,9413360,6167537,3859094,3859091,6167531,6530436,9936040,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,3589245,5762546,8842230,9935018,8842119,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,380142,254141727,2100944,3530283,5676070,8720113,12825726,18090795,14419889,9918359,254975889,268271793,256579844,9996275,14527615,268341313,255254781,9124467,5970723,5970725,9124469,6518930,4084539,2443772,1413052,1413053,2443774,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,3903262,5663991,6234585,9505657,254308976,10607701,6999063,4398573,4398574,6999066,6999061,6999060,9447946,11209738,9996253,6569697,4115524,4115523,254983723,9551664,268158975,19447471,26144827,33984722,43042269,53520739,65544913,259091225,259722202,107401905,121786259,135726663,148966066,161271853,172471976,182423792,191126472,198616074,204961170,204514347,198089604,190549087,181813742,171848995,160662301,148401391,261489483,261839898,258454887,257245151,30816446,30816445,39421731,49351411,60754362,73503415,87122168,101120192,115198048,129129622,142506710,155150733,166843806 Dl.O(d2) = 258539070,64198469,52348199,50931117,50931116,258318075,89209418,91044000,77139504,256589490,52176165,64009113,64009222,64009221,70834430,70834431,259279977,112281613,270810718,70834418,70834419,84391443,98299988,112281612,269635630,77139627,64009235,64009237,77139629,91044093,105253664,119478223,133337462,271657118,123561226,123561227,137293012,150334466,162469150,173508269,183309978,263797501,205488476,264682648,210648832,214864862,218334057,265670837,229459228,266077961,233442275,234523974,235509564,236223809,235309192,234306028,233203797,266053072,227397819,225433565,223173927,220559373,217485114,264623668,203830955,263711564,180684028,262462036,133584755,119710346,119710347,133584757,141439401,128074023,128074024,129714250,115815472,101769833,87797599,87797600,74194257,61415625,268740130,31244003,29986186,29986187,256480567,23336971,23336972,23759615,23759605,17432106,12286691,8297586,254399927,1934611,254134617,620043,1105029,1934616,3289807,5352839,8297594,12286714,17432137,23759637,31244039,39919702,49937603,258724011,59138010,59138011,71876139,59137997,47739361,37817015,29251777,21930964,21930963,21930968,21930967,29251784,256910281,258724009,99401580,113402382,121043974,260189868,65161272,53176489,42726977,33697170,25891194,19231817,13739752,9413360,6167537,3859094,3859091,6167531,6530436,9936040,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,3589245,5762546,8842230,9935018,8842119,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,380142,254141727,2100944,3530283,5676070,8720113,12825726,18090795,14419889,9918359,254975889,268271793,256579844,9996275,14527615,268341313,255254781,9124467,5970723,5970725,9124469,6518930,4084539,2443772,1413052,1413053,2443774,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,3903262,5663991,6234585,9505657,254308976,10607701,6999063,4398573,4398574,6999066,6999061,6999060,9447946,11209738,9996253,6569697,4115524,4115523,254983723,9551664,268158975,19447471,26144827,33984722,43042269,53520739,65544913,259091225,259722202,107401905,121786259,135726663,148966066,161271853,172471976,182423792,191126472,198616074,204961170,204514347,198089604,190549087,181813742,171848995,160662301,148401391,261489483,261839898,258454887,257245151,30816446,30816445,39421731,49351411,60754362,73503415,87122168,101120192,115198048,129129622,142506710,155150733,166843806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7860661, s2 = 11446394, dlinesl.size( ) = 2 s1 = 7860661, s2 = 11446394, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7860661, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1035650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1035650, s2 = 380248, int(edited[s2]) = 0 s1 = 1035650, s2 = 380248, d1 = 11, d2 = 1 Dl.O(d1) = 26157076,21989978,15892949,15892950,21302688,15605438,10796350,10796349,15605434,21637324,19460479,13926820,13926819,19460475,26160297,26163249,19462871,13929226,268027770,6273452 Dl.O(d2) = 9560714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 380360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7960636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 258447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 258447, s2 = 6838309, int(edited[s2]) = 0 s1 = 258447, s2 = 6838309, d1 = 12, d2 = 270 Dl.O(d1) = 6313068 Dl.O(d2) = 259056666,57745526,256822504,28067500,28067499,36534145,41610891,41610892,34311509,34311510,30044047,30044048,38618086 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8139293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8139293, s2 = 8162944, int(edited[s2]) = 0 s1 = 8139293, s2 = 8162944, d1 = 18, d2 = 21 Dl.O(d1) = 7737088,7737089,11617918,16650059,22878468,23173071,23173070,16910028,16908376,14979623,11833328,11833327,7908360,7908357,6910378,6910379,10481089,7908578,5027334,5027333,7908577,11833701,11834169,16909938,255966537,39190107,258200896 Dl.O(d2) = 20313829,27245343,27245359,35369265,44793832,46680168,46680167,47353908,37447312,37447313,46680179,36794090,28297032,21633945,21633947,28908158,37447373,44793857,36794120,28297058,21089505,21089504,28297055,36794113,44793729,55701237,44793734,44793735,55701244,255728912,47353940,37447339,28908130,28908131,28908101,21633914,15602512,10793858,10793857,15602508,21633905,28908091,27245330,20313824,20313823,14578247,14578232,14578233,20313837,20313845,21089468,28296997,36794055,36794078,41697199,36794073,36794072,44793770,44793771,37447359,28908151,28908149,37447356,36506469,28042904,28042903,35369257,28297049,27245289,20313797,14578211,14578210,20313792,27245280,35369158,32363175,32363176,41179100,44793803,46680207,36794128,28297064,28297065,36794135,28908076,21633896,21633897,28908082,27245304,27245303,27245388,20313871,14578253,10031462,6592795,6592794,10031455,10447884,10447883,15148831,21089484,28297023,36794080,46680169,53911036,43386802,34287720,26412381,26412382,27245275,34287730,30521335,23104373,23104372,21853323,20313818,20313817,27245320,35369217,44793791,37318808,256874779,49150973,46445982,36580582,28108337,20931788,20931785,28108330,255847592,25778352,19137306,19137304,25778345,19677153,14106334,14106335,19677154,26412408,20931782,20931781,24093687,17735687,17735686,24093686,31597332,38363846,38363845,48275210,48339814,38436184,29877340,29877339,38436180,36742563,36742562,41791947,32870910,32870909,28388273,21169634,21169633,28388271,36884923,40107458,50127501,61607548,72823166,60085977,48689932,48689931,60085976,60584653,49184706,39258892,30663009,23245645,16979144,11892305,7951826,5057556,3064181,1786241,1786242,3064188,5057564,7951839,7951880,5057587,3064196,1786247,1786248,3064199,5057592,7951888,11892389,11892295,11892296,7951860,5057577,5057576,255139623,23245711,22599689,16416431,16416430,22599685,29964345,38530112,48438116,59824092,72559399,73328907,258826830,85497798,76003579,76003580,89780984,85497797,259352619,260325512,259337190,256356502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9358550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9358550, s2 = 8070000, int(edited[s2]) = 0 s1 = 9358550, s2 = 8070000, d1 = 3, d2 = 0 Dl.O(d1) = 268944047,31661455,31661454,40356541,42511073,49859463,42511074,38240915,38240914,48150039,49859455,39835814,39835815,48905309,254431916,22992509,22992510,30396140,24772761,24772762,32395652,41219045,256083306,61384717,61881230,52554360,52554361,64428709,61580276,61580277,64428707,64428706,74357074,72314865,72314866,70418627,57723662,46373488,46373487,57723660,51102501,40960556,40960549,40960548,51102493,62733454,75679650,89442633,75679640,75679641,89442635,85908284,72314862,62733446,51102483,40960539,40960540,51102484,51102458,40960511,40960510,51102456,257782433,42059550,33110390,33110389,40960550,51102494,51102499,40960554,32181600,24594760,24594762,32181594,24594755,24594757,256581531,24594719,18148399,18148397,18148398,24594717,29306115,29306114,21978487,15883491,15883490,18148433,12869149,8751840,5698029,3545349,2111106,2111104,3545344,5698017,8751809,12869107,12869106,18148377,24594690,18148394,18148393,24594709,268707171,32181571,24594735,18148408,18148407,24594733,32181531,32181530,37875241,29306116,29306117,37875243,47799285,40960500,32181538,24594724,18148401,18148400,24594722,32181554,40960519,32181569,256581535,47799286,59199202,51102435,51102436,62733416,74673403,61881259,51415822,41219041,41219040,50391498,40356521,40356513,268688717,24150856,24150857,31661469,40356558,40356549,31661461,31661462,31661485,38810684,48730961,269005563,12586322,8538640,8538641,12586324,17783713,255869736,40356583,38448759,38448758,40356531,40356556,49982992,40356588,40356589,50391554,50391492,40356515,31661437,255586179,12586313,8538636,8538637,12586315,12586320,17783707,24150864,31661476,40356565,43289294,34192130,26320115,26320114,34192128,43289291,48199344,38289960,29723148,22366699,22366700,29723149,38289962,48199345,59585791,52270342,41931403,32990708,25266824,25266825,32990709,41931405,51814196,41535001,32647467,24975958,18455766,13110892,8935524,8935525,13110895,9083500,5941181,3715052,3715053,5941184,9083505,13301890,10303131,6775138,4246741,3304607,3304606,2538634,2538632,4246026,3708819,3604832,3604836,4264567,4264564,3711699,2222670,1289330,1289331,736051,736054,1289385,2222778,3711873,5936391,9077288,13295326,10985030,10985029,15231788,21195637,25266823,28110110,36582391,31175595,255419508,17365552,23686824,31175593,31175599,31175598,39858162,255120890,48199341,48199340,53127498,46464787,37851371,37851372,42676878,33647317,25843672,19189441,19189442,25843551,25843550,33647163,42676672,42676087,42676086,49881093,49881095,60614233,59585696,48199228,38289870,29723084,22366655,16212663,16212661,22366645,29723072,38289852,47774476,48199314,48199313,38624356,38624355,43881562,47774503,37851363,29283329,21957946,21957947,29283331,37851365,47774504,59173320,53254161,42801497,33769791,25960879,25960878,33769789,42801493,37370638,37370640,47279953,47411014,58797920,59585723,59173314,53127538,47774517,47774514,39858160,31175595,255419508,17365552,23686824,31175593,39858156,257526065,47774337,37851212,29283223,29283222,37851210,47774334,43881579,34610453,268628513,21957868,15865713,10996523,10996525,15865727,21957988,29283392,37851440,42676488,33647306,33647305,38289977,38289976,43881529,37851404,29283366,29283367,28633191,28633193,37147274,37370645,37370644,47279951,46464791,36598358,28124972,28124970,36598355,256887426,37851334,42676824,33647278,33647277,37851338,42676784,33647244,33647245,42676786,53127519,65112782,258530013,55302772,44458131,38289828,29723058,256143222,26253018,34117690,34610461,26621713,26621712,21962867,15869257,10998828,7280834,4591666,4591667,7280836,10998831,12622545,12622544,17827145,24196358,31703902,40395961,33564374,25774856,19134521,19134520,21983393,21983392,22366599,16212628,16212629,15869258,10998829,10998830,13704515,13704514,9386572,6149529,3848036,3848035,6149520,6149519,9386557,13704667,19189365,19189348,13704656,9386548,6149515,3848028,254453649,9386550,9386666,6149593,3848074,3848073,6149523,6149496,6149497,254397787,3271724,254586791,3847983,3847984,6149456,9386418,9386419,13704471,9386436,6149432,3847969,2305695,1337941,1337940,2305691,3847960,254663051,9614358,9614359,9386438,6313290,3957138,3957139,6313106,6315467,3958353,2370578,2370577,3958351,6315464,6315162,6315161,6128707,6128706,6315422,6313062,3956754,3956753,6313060,3956847,2369631,2369632,3956850,3983690,3983689,6315485,6315486,9614932,9611572,6313192,3956856,3956855,2369635,2369636,2369780,1371860,1371859,1371891,1371893,1372301,254115303,442952,781185,781280,781281,1372356,781212,442967,249505,249503,442962,781205,1372343,2370612,3958394,6315501,9614951,9614956,6315504,6315505,9614957,9614950,6315500,3958388,3958387,6315498,6315507,3958392,3958393,6315509,9614961,13995745,19545331,26265590,34132134,34132140,43220078,34132143,34132125,34132126,34132146,26265600,19545335,19545336,26265602,26265586,26265585,34132130,43220070,257855127,43220071,43220068,43220067,53732125,65788227,65370335,53366400,53366401,65370337,53366420,42900327,42900328,53366402,42900310,33855186,26033742,19355924,19355923,26033739,33855183,42900304,33855192,33855191,26033762,19355936,13843708,9496188,6228273,3899396,3899394,6228270,9496181,268155989,26033727,33855163,33855197,26033750,19355929,13843701,13843702,19355931,26033754,33855205,268075286,53366385,42900288,33855175,33855174,42900285,53366380,65370320,78675182,92738334,107078110,107078098,92738319,78675164,78675165,92738322,107078099,107078114,92738339,92738312,92738313,92738346,78675195,78675196,92738348,95349093,109601731,107078116,107078117,121374828,135224495 Dl.O(d2) = 112878495,98890757,84965181,71390427,71390428,84965184,271309945,98890788,98890762,85095928,85095927,84965219,84965218,98890787,112878512,123789851,259799891,81292642,81292641,95349106,260005944,98890790,95349104,81292638,257923615,44635162,35250805,35250806,257324337,67826566,259172717,109601739,98890751,84965172,71390414,71390416,71390405,58655322,47263444,37353877,28814956,21546532,15529082,15529083,21546535,28814958,255910620,15529092,15529091,21546549,21546573,28815026,37353968,37353985,47263395,47263393,47263404,37353834,28814922,21546511,15529071,15529072,21546513,28814925,28814964,21546541,15529087,10740145,7096122,7096121,10740141,15529080,21546527,28814951,256877529,47263428,47263387,37353824,37353822,47263385,58655286,58655307,47263468,47263469,257530066,47263418,37353844,28814930,28814931,37353845,256877532,38344676,257457553,58655355,58655354,58655281,47263543,37353965,28815024,21546572,21546571,28815021,37353842,37353843,47263414,47263433,47263434,258068503,61718802,50239879,40219792,31533869,31533870,40219793,269878019,74500208,81083681,67617935,67617936,71505759,70865176,58151074,46783523,46783522,58151072,61718696,50239740,50239741,61718700,50239919,40219840,40219839,46783519,46783520,58151069,70865175,71505773,58776427,58776426,71505771,85077804,98890741,85077801,85077802,74500198,61718721,50239780,40219683,40219682,269403421,70310657,70310658,83835615,88112004,74500218,61718737,50239799,40219697,31533781,31533782,40219698,50239802,61718741,53329973,48566440,38651033,30074861,22694468,22694469,30074863,38651039,48566446,58155193,46787627,46787626,49247471,49247472,60648008,70869295,58155190,58155189,70310640,57620199,46275758,36423089,36423088,46275757,257993535,70310649,72272082,59538297,48151748,38242724,29677989,29677988,23305151,268425823,31221642,31221640,38651028,30074856,22694466,22694465,30074854,38651026,46275782,46275783,57620221,70310654,61718692,50239733,50239732,61718690,61718792,50239868,40219772,40219771,50239867,57620219,57620218,57620235,46275791,46275763,46275764,57620203,70310646,70310644,57620223,46275779,36423106,27964712,20802363,20802362,27964711,31533943,24031737,17680992,12504112,12504111,12503996,12503995,17680851,24031584,31533751,24031687,24031688,256536635,50239887,50239791,40219694,256030707,17680914,17680915,24031621,24031620,31533795,40219719,31533890,31533785,24031614,17680874,12504010,12504011,8470530,8470533,12504149,17680866,17680867,12504241,8470524,5475323,3369325,1982666,254136573,352493,352492,635183,1132460,1982653,3369303,5475273,8470409,12504066,8470425,5475260,5475259,8470422,8470538,12504266,10478635,10478634,15191827,17681021,12504136,8470455,5475281,3369307,3369306,5475278,8470450,12504130,9483122,6218342,3892112,2330342,2330343,3892114,6218344,8470488,8470487,12504185,17681078,24031752,17681004,17681005,13991964,9612071,9612070,13991961,19540833,26260078,26260099,26260098,23305154,17044282,11957044,11957045,17044283,14113993,9709759,6387537,4008468,2402375,1390087,1390088,2402377,4008472,6387545,9612082,6313552,3957132,2369842,1371900,1371901,2369794,267761435,780945,1371872,2369591,2369590,2085377,2085378,1371804,780898,442790,442789,780896,1371800,2369699,3956947,3956987,6313342,6313252,3956973,3956972,3956985,2369733,2369604,2369602,3956804,3958733,2370812,2369647,2369644,3956868,6313208,9611598,13991292,9611846,6313402,6313401,9611805,13991323,13991324,19539949,19539907,13991269,13991268,9615821,6316067,3958727,2370810,1372464,1372463,2370808,3958724,6316060,254292932,19547034,18646717,254144260,6002026,3753499,2247726,1303778,743880,743878,1303774,2247718,3753486,6002007,6003600,3754519,3754518,6003598,9172660,13415692,18829731,25422608,25078882,256102857,41693073,41988724,33110571,25375218,18790259,13383555,9148042,5986480,5986479,9148034,13383529,9993337,9993338,254493752,10458818,15165567,21111661,28321829,36815438,28319635,28319636,28319268,28319269,21114863,17590880,12416642,12416643,17590883,15164381,15164380,21110366,23950480,23950479,21114561,21109283,21109282,23950832,17605087,17604856,14929339,14929338,15831629,21208587,17604564,17604565,12426363,8398661,8398660,6936494,4358770,4358772,6936501,10457154,15163306,21109060,21107375,21107374,28317720,28439878,27991942,20827532,14929053,14929054,17605581,17605582,21113315,21114468,267823380,12426211,8398562,8398563,12426214,14929394,10266199,6745960,6745959,10266197,14929391,14929080,10265974,6745848,4226982,2527463,2527464,4226949,4226964,6745817,10265928,14929006,20827478,21207142,23251305,16988361,16988360,23251299,28320517,22371325,16216527,11273106,10461370,10461369,15168627,11183890,7420690,4689345,2825594,2825593,4689339,7420676,11183870,16101218,11273256,7483468,7483467,6745856,6745852,10265986,14929097,20827592,27991992,27998027,25918983,19257140,13761386,9430955,6180239,3867388,2316603,1343538,1343543,1344239,1344243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9358550, s2 = 8070000, dlinesl.size( ) = 2 s1 = 9358550, s2 = 8070000, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9358550, Dl.E( ) = 6, 6.91e-06 seconds used appending s1 = 9020240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10182139, s2 = 2018934, int(edited[s2]) = 0 s1 = 10182139, s2 = 2018934, d1 = 43, d2 = 39 Dl.O(d1) = 256125154,13412167,11393478,7569926,4787309,4787312,7569950,7449314,4706598,4706597,7449309,11226882,16159044,22300926,16158237,11226911,7449329,4706606,4706607,7449331,254528884,9169950,11226381,16158312,16158146,11226227,11226226,16156238,11224759,11224758,16156236,22301827,25416396,33156593,27980851,20816875,20816874,25415119,255259420,11226915,11226914,16159080,14920069,14920068,20816798,27980753,29652719,22300941,22300939,22302318,25415853,25414695,22300355,22300353,20816702,14919994,14919993,20816701,16156721,11225166,7448160,7448159,11225162,16156704,22302286 Dl.O(d2) = 159406303,147026026,147026025,159406302,147026020,133778450,119910078,105674715,91451369,91451370,257830548,105674718,91451372,256163118,64356604,77521837,257238100,105674720,91451373,256163118,52486335,42131344,34306695,26428811,26428810,34306693,30519121,29293282,21966246,15872197,11001172,255876533,37862498,37862497,37862498,256831658,55667646,47045117,37154419,268383646,28541657,31099519,23615817,17302693,12180642,8212485,5283670,3236643,3236644,5283672,8212491,12180651,8212487,8212488,12180653,17302712,23615839,23615815,23615814,23615848,23615849,256502669,49797854,61277423,53004793,47922732,38007305,38007306,40325004,31635678,31635677,40325003,50351949,61836130,53004765,53004766,58133333,47283902,37374438,28834501,21563454,21100001,254783268,36806870,46690670,58063508,70781134,80342526,256415862,43917253,43917252,54659572,43917278,34644354,34644353,43917275,54659598,54659599,257514623,38148135,29582198,257514621,268933814,78670038,268953295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10182139, s2 = 2018934, dlinesl.size( ) = 2 s1 = 10182139, s2 = 2018934, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10182139, Dl.E( ) = 56, 2.1e-05 seconds used appending s1 = 382846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2102107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2102107, s2 = 16223965, int(edited[s2]) = 0 s1 = 2102107, s2 = 16223965, d1 = 21, d2 = 25 Dl.O(d1) = 2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536019,35430797,35430794,27640783,27640786,27668012,27697292,26244096,26244093,27539415,27641843,27641846,27691200,20620354,20620352,27691230,36021769,45133982,45135843,56118116,45785353,45785352,56992853,56685638,45548397,45548394,56685626,69249474,79054213,65700490,61870903,61870904,53829685,43304704,256185007,19604167,14047011,9658832,9658831,14047009,19604166,15415071,15415070,21401847,255309076,18653192,25219778,25520578,18910982,18910981,18761095,13359395,13359393,254945564,21686326,28968265,254287312,24732401,25524247,25524246,24522586,18454242,13109676,8934771,5831717,5831715,8934763 Dl.O(d2) = 79259325,93386097,107808597,122214741,136179030,262052517,161721817,161721818,172879950,182778825,182778824,191431337,198876754,205181220,264669691,218171727,221112895,223628629,225808137,227709112,225818092,223640294,221126060,218186883,214684406,210424111,205208723,198908054,191463029,182810512,172911865,161753920,149461259,136209171,122243614,107836563,257822718,79285621,93413272,107836560,122243616,136209172,260907022,172911869,170027210,158669641,146301633,133074047,133074048,119243923,105050974,105050975,105050968,90871603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6476139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162354, s2 = 384128, int(edited[s2]) = 0 s1 = 14162354, s2 = 384128, d1 = 8, d2 = 8 Dl.O(d1) = 17413310,23738128,31221760,39898597,49918351,57833683,46477958,36611915,256274958,20960241,20960240,28138308,24107611,17748731,12558474,8514526,254867643,255482820,16241806,11291778,11291779,16241807,19650902,14196569,14196568,268329913,30819902,23391114,23391113,30819900,26632360,19821029,16241800,16241801,22404011,24210029,17839929,12633108,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195959,17845458,17846636,19666762,25279374,25279375,24899734,18396894,18396893,24899728,30280803,28626661,21388548,15404459,10647325,10647327,9689968,6373703,6373702,9689966,14087846,19654326,16914825,16914827,14096806,9695503,6376643,4000828,4000827,6376638,9695487,14096781,19656623,14089617,9690968,6374287,3999697,2397031,1387185,1387186,2397034,3999709,6374315,9691114,14089866,19656977,19658125,19664579,19664580,19664588,14095771,9694850,6376313,6375571,4000304,4000303,6375566,9692739,6375184,4000144,4000145,4000152,6375212,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,7592869,11411502,11411503,14207649,17721262,23387574,23387575,22780066,16564706,16564707,19663989,19663990,22768030,22768031,21482305,255119210,30269885,256445399,22961810,16725684,254805321,4939644,6109527,6109528,3825271,2291817,1329777,759295,759293,1329769,2291811,3825256,6113682,9333613,11308325,7507854,4745837,4745838,7507859,9287480,9330108,6111574,6111570,9330103,13610304,13610303,9319725,9319726,9329744,11400169,9305278,6095368,6095367,9305273,13589974,19038169,25656672,33424680,33393079,25627848,19012852,13569703,13569700,9694311,9694312 Dl.O(d2) = 17413310,23738128,31221760,39898597,49918351,57833683,46477958,36611915,256274958,20960241,20960240,28138308,24107611,17748731,12558474,8514526,254867643,255482820,16241806,11291778,11291779,16241807,19650902,14196569,14196568,268329913,30819902,23391114,23391113,30819900,26632360,19821029,16241800,16241801,22404011,24210029,17839929,12633108,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195959,17845458,17846636,19666762,25279374,25279375,24899734,18396894,18396893,24899728,30280803,28626661,21388548,15404459,10647325,10647327,9689968,6373703,6373702,9689966,14087846,19654326,16914825,16914827,14096806,9695503,6376643,4000828,4000827,6376638,9695487,14096781,19656623,14089617,9690968,6374287,3999697,2397031,1387185,1387186,2397034,3999709,6374315,9691114,14089866,19656977,19658125,19664579,19664580,19664588,14095771,9694850,6376313,6375571,4000304,4000303,6375566,9692739,6375184,4000144,4000145,4000152,6375212,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,7592869,11411502,11411503,14207649,17721262,23387574,23387575,22780066,16564706,16564707,19663989,19663990,22768030,22768031,21482305,255119210,30269885,256445399,22961810,16725684,254805321,4939644,6109527,6109528,3825271,2291817,1329777,759295,759293,1329769,2291811,3825256,6113682,9333613,11308325,7507854,4745837,4745838,7507859,9287480,9330108,6111574,6111570,9330103,13610304,13610303,9319725,9319726,9329744,11400169,9305278,6095368,6095367,9305273,13589974,19038169,25656672,33424680,33393079,25627848,19012852,13569703,13569700,9694311,9694312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162354, s2 = 384128, dlinesl.size( ) = 2 s1 = 14162354, s2 = 384128, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162354, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 7837960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7837960, s2 = 11064116, int(edited[s2]) = 0 s1 = 7837960, s2 = 11064116, d1 = 13, d2 = 15 Dl.O(d1) = 32205745,24615528,18165749,18165748,14118187,9713374,6390415,4010587,4010586,6390501 Dl.O(d2) = 261265270,121967797,131473495,271843926,258851130,26216126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7837960, s2 = 11064116, dlinesl.size( ) = 8 s1 = 385792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 385792, s2 = 9075112, int(edited[s2]) = 0 s1 = 385792, s2 = 9075112, d1 = 14, d2 = 0 Dl.O(d1) = 9719024,6393674,6393675 Dl.O(d2) = 4012356,3434719,2031701,2031703,3434726,5549356,8551245,8551510,5549491,4012373,2404647,1391482,791287,448128,448127,791285,1391478,2404637 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7864633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7864633, s2 = 991011, int(edited[s2]) = 0 s1 = 7864633, s2 = 991011, d1 = 57, d2 = 65 Dl.O(d1) = 11220107,7444716,4703845,2833717,2833716,2833654,1643906,1643910,2833668,4703747,4703806,7443780,4703322,4703320,7443722,7443724,9738750,11218543,11218542,12042198,11220011,7444642,7444641,7444622,4703779,4703777,4704128,2833846,2833843,4704119,7445272,11219819,16149792,16152554,22297677,29649502,29646931,29646930,268419780,17873267,17873266,16152641,11222042,7445971,7445970,11222040,16152640,19777105,14165755,9738794,6404042 Dl.O(d2) = 39945400,31270726,23785309,17454619,12304560,8310818,5362501,3296544,3296547,5362471,8171649,8310754,12304480,8488127,8488126,12309152,12309153,15851815,12481689,12481690,17460426,16737586,11693805,7799039,7799038,10986407,7272336,4586208,2759172,1599501,909353,512943,512944,909359,618578,618577,1102165,1929037,3279563,5335255,8268632,12243418,12243873,8269035,5335566,3279795,1929190,1929188,3279788,5335551,8269015,8256610,7968807,7968809,8265539,5332938,3278047,1928111,1101631,618297,343628,343625,618283,1101590,1928036,3277911,5332738,5331947,3761112,2984971,1733004,1733002,2984960,4945685,3277738,1940869,1940872,2984933,2984932,4945638,7798982,11673959,11673958,16715755,16715953,12238077,8263717,5331572,3277166,3277164,4933327,4933324,7783027,11674086,16173982,12289076,8318083,8318082,11233195,12228545,8256427,8256426,7799400,4945900,2985086,1733069,1733067,1647045,936502,936503,1647053,2839297,2529158,2529157,2985031,2985030,4945814,7799016,4945662,4945663,5326889,3274224,1928422,1101791,1101793,1928431,3278555,5333179,5333183,5331476,5331475,5366927,8317174,10757797,10757798,12228025,8255979,8255978,5359807,3294726,1937745,1106843,1106842,1927845,3277577,5332229,8264601,8270067,12244907,17376725,23698745,21576820,21576821,17371471,17371470,17449150,12300226,12300225,17449146,268224643,7451646,7451645,11229965,8612191,5597559,5597560,8612193,5597582,5597581,8534406,8559261,8559263,12580386,12571898,12523258,12523263,8564119,8564117,11230968,7452433,5509135,3763476,3763477,4711819,4711803,2838515,2255734,2255733,3764856,5537592,8499593,7417686,7417689,11179784,12523014,12538683,16164149,254773243,4708716,5017343,3035298,3035299,5017345,7896390,11818205,8516274,8516273,5548335,3433939,3433938,5548332,8549751,12598733,16889574,16889573,16889454,11818265,7896482,254773465,5595350,5595348,5554025,3438359,2034163,1165104,1165105,2034166,3412175,3412176,5525675,5543598,3429268,2027314,2027315,3429272,5543604,8545443,8538341,5536363,5536364,5506115,267913819,5489636,5489635,5565864,5576524,3459664,3459665,3761018,2253003,1307534,746466,746467,1307538,2253014,3432575,3760920,2252933,1307490,1307491,2252938,2252961,1307504,746452,746449,1307501,2252955,3760945,3762851,3763640,254612019,5485580,5485581,3454728,3403263,2006966,1147416,254189889,1148906,2009283,1307493,1307494,2252946,3760937,2253343,1307747,1307745,1008876,568601,568600,1008849,1770172,2030609,1308403,746945,424468,424469,746953,1308415,1163431,652888,362020,199796,199795,365316,659042,1174003,2047368,2031366,1163403,652871,652870,1163398,2030010,1162476,652320,361743,198014,198013,361739,652311,1162455,2029982,3432623,5547014,5548453,3447857,3440701,2049635,1175506,1160635,651266,361211,361212,651271,1160647,1165491,654085,654088,362735,362738,654142,1165592,1171684,657660,364573,199398,199397,364568,657649,1171663,1171566,657595,657592,1171554,1999020,1175398,1175403,1135365,637040,353806,353809,353829,194038,194039,353852,637134,1135558,1987329,3376474,5485701,3429351,3429352,254380889,1810370,1810371,3098503,3376470,1987326,1987327,3376472,2031122,2031102,1163222,1163221,2031100,3433918,5548304,254871281,12598647,255576339,25130608,32835916,41756991,52070712,63888426,76998426,90876398,105055332,119248200,133078122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7864633, s2 = 991011, dlinesl.size( ) = 2 s1 = 7864633, s2 = 991011, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7864633, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 7883304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 386185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 25887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6578660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 387615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 387615, s2 = 15858941, int(edited[s2]) = 0 s1 = 387615, s2 = 15858941, d1 = 10, d2 = 147 Dl.O(d1) = 9778491 Dl.O(d2) = 48822748,256449457,22913869,16680903,11643587,7757056,7757055,11643583,16680899,11643597,11643592,11643593,16680910,22913882,30313933,38900519,39482205,48822779,39482191,39482192,38900609,30314012,22913929,22913928,30314010,38900605,48822841,60220043,60224496,60224497,71410297,73550003,62496858,58676160,58676161,60812270,49412019,39482238,39482237,255919050,47284923,47284922,58676136,48179830,43359369,43359368,48781845,38902541,30876909,23446694,23446693,30876906,28835053,21563903,15542171,15542170,16680940,11643608,7757068,7757067,11643603,16680935,21563942,28835137,32024562,28835067,21563909,15542176,15542177,21563914,28835078,37375181,47284777,38900584,37375263,37375262,47284842,40271965,40271963,50293289,40271973,31584922,31584921,40271970,47284819,37375234,28835124,28835123,28835096,21563922,21563923,28835097,37375202,47284793,48382935,38480287,37375318,28835187,21563973,15542210,15542211,21563979,28835194,37375328,37375305,28835175,21563965,21563964,28835171,37375298,47284870,50460717,40423338,31729936,24222104,17851576,17851577,24222905,31731072,255478498,31729882,28835116,28835117,37375228,255918980,40424547,40424548,31731079,24222912,17851582,17851581,24222909,255918964,50462270,47284871,47284872,47284875,38440387,38440388,37375326,37375325,40424838,31731062,24222898,17851570,12642152,12642153,17851573,24222903,21634523,15602946,10794188,10794189,15602949,21634531,28908939,37448394,31731448,24223261,17851831,17851832,24223264,31729852,31729851,40423323,31731088,256550427,50462287,52278610,257153952,257331296,63249861,51533527,41312988,38894731,30308944,30308943,38894722,48816014,41741331,41741330,48517959,49965404,49965403,50461397,50200772,40177002,31491517,23994046,17649915,12478561,12478560,17649913,23994042,31491514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 387615, s2 = 15858941, dlinesl.size( ) = 2 s1 = 387615, s2 = 15858941, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 387615, Dl.E( ) = 148, 4.48e-05 seconds used appending s1 = 6554818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6554818, s2 = 387866, int(edited[s2]) = 0 s1 = 6554818, s2 = 387866, d1 = 1, d2 = 1 Dl.O(d1) = 255912706,30798133,39401389,49219316,39292651,30695183,23279943,17021144,17021142,22029140,26681759,19863588,254966145,9783007,14231212,11260664,11260663,16199085,22349402,23279939,30695180,34655683,26664021,26664020,256342102,46691984,58064750,58064733,46691942,36808184,36808183,40035714,40035700,31355826,255565543,268255779,29408190 Dl.O(d2) = 255912706,30798133,39401389,49219316,39292651,30695183,23279943,17021144,17021142,22029140,26681759,19863588,254966145,9783007,14231212,11260664,11260663,16199085,22349402,23279939,30695180,34655683,26664021,26664020,256342102,46691984,58064750,58064733,46691942,36808184,36808183,40035714,40035700,31355826,255565543,268255779,29408190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6554818, s2 = 387866, dlinesl.size( ) = 2 s1 = 6554818, s2 = 387866, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6554818, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14162254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 864933, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2700008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2700008, s2 = 8397851, int(edited[s2]) = 0 s1 = 2700008, s2 = 8397851, d1 = 17, d2 = 18 Dl.O(d1) = 77354449,77354448,91274374,259647744,129228869,260602044,127983860,261561246,29924078,29924079,38484325,48387019,59769805,70674854,66863681,54605606,43862658,34592231,28202906,28202905,22564460,22564461,29924073,38484316,48387007,59769787,258427302,1511373,1511375,2617663,4369057,6953404,10543573,15277414,21244295,28456296,21229868,21229867,23432258,17156010,12059432,12059431,11394765,7570925,7570923,11394763,15284239,10549769,6957698,4373704,2620028,1512508,857524,857519,1512486,2619987,2621993,1513406,1513403,2621983,4377607,6968032,6967853,4377503,4377505,6967858,10564251,10479412,6909332,6909331,10479409,14070807,9676726,6962517,4374356,4374358,6962524,8111755,8106790,5193987,5193985,4379363,4379362,4110084,2458497,2458498,4110089,6560676,9981770,14506031,15303265,10567445,6970044,6068479,6068478,9264921,10562408,6966597,256743371,6511392 Dl.O(d2) = 254766408,9907161,14404009,20090557,26979052,29390739,29499156,268387499,15559776,10762451,7111028,7111029,255043329,21584196,258070557,85002702,98927370,112914903,260550004,40277927,31593645,24090313,17732850,12546336,8505606,8505608,12546340,17732855,24090319,31593653,40277939,48602447,38686471,38686472,40277940,40277941,36986467,28489597,26401137,19667067,19667066,26401136,19667084,14097755,9696213,6377099,6377098,9696210,14097749,19667075,26401150,28489593,31803102,26401154,26401153,27651784,20594554,20594553,27651780,35961273,38103808,46865002,45625779,45625780,47997922,47426267,37518476,28974804,21692300,21692301,28974807,37518479,43374954,34276120,26401133,26401132,31593635,31593634,36986520,254591788,35961221,27651734,21273339,21273340,28489634,36986511,46865019,53898728,43374931,34276105,26401126,19667061,16430847,16430848,20594550,14770977,254700761,6673468,10158469,255350831,256254567,45625717,47976039,257507759,45625716,45625717,47976039,38063925,38063924,257507766,29500978,22162008,16040528,11137934,7387698,7387697,11137932,16040524,21757126,15702477,15702479,21757129,21757113,15702470,15702469,255859969,23795658,17463321,17463220,12311254,8315510,5365564,5365563,8315507,268111023,23795520,23795660,17463326,17463325,23795611,23795550,17463237,12311264,8315516,5365567,3298466,1939950,1939952,3298472,5365581,8315545,254591789,3298489,1939961,1108125,1108124,1939959,3298485,5365599,8315577,12311363,17463388,23795724,31281768,31281769,37262647,28730602,28730600,29828704,31281869,39956732,39956595,39956594,31281712,31281713,23795767,17463421,17463422,17463417,17463419,23795685,17463350,12311340,8315561,8315562,12311342,17463354,12311352,8315569,5365596,3298482,3298483,5365597,8315573,12311360,17463383,23795715,31281878,31281759,31281760,29828699,29828698,254991806,23795587,19917611,19917610,26764137,23466707,18844958,13426639,255260717,256127217,31281823,23795673,268439463,23795518,23795576,255772606,31281902,31281903,31281699,31281698,260116537,61972152,258914872,17862165,17882470,24259649,31748066,31748494,256551551,50479588,258914839,86433252,72838829,60102225,48706677,38784527,30200226,268959115,15933482,269803605,59494138,48105538,38193886,29626940,22275290,16132760,11206892,11206890,11206976,7436066,7436067,254791546,7654667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2700008, s2 = 8397851, dlinesl.size( ) = 20 s1 = 293198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8082976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8027598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8027598, s2 = 5707540, int(edited[s2]) = 0 s1 = 8027598, s2 = 5707540, d1 = 37, d2 = 16 Dl.O(d1) = 38055020,255451862,22152278,22211926,22211924,19160815,19160812,19616172,14056957,9666053,6356184,3988012,3988015,6356196,9666073,14056997,19616229,17381477,17381478,23704178,22846035,16622611,13500968,13500969,18936595,18936606,18936605,14449098,9940492 Dl.O(d2) = 232273226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8027598, s2 = 5707540, dlinesl.size( ) = 14 s1 = 13181271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13181271, s2 = 10340046, int(edited[s2]) = 0 s1 = 13181271, s2 = 10340046, d1 = 2, d2 = 6 Dl.O(d1) = 8333123,7324421,6734873,6734872,4362655,2614422,2608262,2608263,4354410,4328626,2624741,2624742,2614065,1509510,856084,856083,1453824,2522849,4219649,6734953,10250284,6930465,4354386,2608241,2608239,4219652,6734958,254995501,4382626,2624930,1515119,1515117,2624922,4357384,2610515,1631056,1631058,2613306,2613307,4361178,6939848,10519449,10519450,10522748,10522191,10522189,10250415,6735042,6735043,267961133,4361155,4361154,6939815,10513554,8333500,6939277,254330833,2613296,4356938,6934001,10514819,15242027,21208476,17495231,17495230,23834150,255808836 Dl.O(d2) = 254316885,1416315,2449600,4094499,6534843,9942770,14452028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13181271, s2 = 10340046, dlinesl.size( ) = 2 s1 = 13181271, s2 = 10340046, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13181271, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 393027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13197409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9330721, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 393568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13291147, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1383382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 266518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 266518, s2 = 10678117, int(edited[s2]) = 0 s1 = 266518, s2 = 10678117, d1 = 0, d2 = 11 Dl.O(d1) = 6562263 Dl.O(d2) = 18660990,18660989,25229393,256096700,19236585,13743601,11155874,9924266,6522592,6522591,9353571,6127516,3833716,2296896,2296899,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,1332790,761165,433009,433007,761153,1332747,2296754,2672943,4449114,6176659,6176617,6176616,9421336,6173094,6173091,9421342,9426311,9426315,9426623,6261820,3920275,2346695,2346693,1359644,1359647,2347291,3921298,6263602,9546734,13910372,19174732,13692697,13692699,9537800,6257114,3917028,3917030,3888148,3888145,6172776,3862454,2313765,2313761,2297083,2297088,3834098,3833753,2296909,2296915,3833702,6126824,6097886,6097887,6291841,9426746,6176835,6176837,7141008,7141010,9473872,6211967,3888175,3888176,6211972,9473883,9475067,256165269,42849528,257752368,52212351,41882668,41882669,52212353,64051448,58220228,58220227,46852386,36973636,28475688,21256290,15291855,10556833,6962737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 266518, s2 = 10678117, dlinesl.size( ) = 2 s1 = 266518, s2 = 10678117, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 266518, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 6428866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7931764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7931764, s2 = 10507191, int(edited[s2]) = 0 s1 = 7931764, s2 = 10507191, d1 = 24, d2 = 27 Dl.O(d1) = 22670652,16474855,16474856,21277666,28494845,27133701,27133702,28883987,28883986,37425633,29819933,22452534,22452533,16283367,11324536,7520652,4754760,2865644,2865643,4754758,7520649 Dl.O(d2) = 153395290,140713572,260356416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7931764, s2 = 10507191, dlinesl.size( ) = 34 s1 = 10149318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7828034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7828034, s2 = 11027262, int(edited[s2]) = 0 s1 = 7828034, s2 = 11027262, d1 = 7, d2 = 7 Dl.O(d1) = 11540183,7677462,4857925,4857929,6094241,8601191,8601192,12665648,17783393,12586079,12586080,16556984,16556983,22771211,20259728,20259726,14598058,10044750,6600942,6600940,10044740,10269643,10269641,14608695,10052193,6605287,6605286,6211554,6211553,9473328,13813627,19318571,25274336,27141305,20233450,14519157,254361818,6566084,9990501,10430774,7494406,7494405,11287562,13677393,13677394,18938992,18938993,25551455,22786293,19281713,13783539,13783538,19281708,25945268,29597659,38164219,30626642,23204114,23204115,30626647,29761210,29217195,28254485,21053811,268066197,10430734,6877406,4317141,2581985,2581984,4317100,6877332,6877266,6877267,10431714,15124237,21055658,21055059,21055060,28255927,36751051,32085563,24511690,18082145,18082144,255742334,39214712,37754599,29193209,21881288,267871342,37754598,47676893,40180677,31495974,31495973,40180675,47665540,37743655,37743654,47665538,50085099,61565234,65781690,61565241,256002188,40063632,50085104,59808668,259471613,115281918,129210480,129210479,115281917,115281918,271656776,129210479,260870642,255663790 Dl.O(d2) = 11540183,7677462,4857925,4857929,6094241,8601191,8601192,12665648,17783393,12586079,12586080,16556984,16556983,22771211,20259728,20259726,14598058,10044750,6600942,6600940,10044740,10269643,10269641,14608695,10052193,6605287,6605286,6211554,6211553,9473328,13813627,19318571,25274336,27141305,20233450,14519157,254361818,6566084,9990501,10430774,7494406,7494405,11287562,13677393,13677394,18938992,18938993,25551455,22786293,19281713,13783539,13783538,19281708,25945268,29597659,38164219,30626642,23204114,23204115,30626647,29761210,29217195,28254485,21053811,268066197,10430734,6877406,4317141,2581985,2581984,4317100,6877332,6877266,6877267,10431714,15124237,21055658,21055059,21055060,28255927,36751051,32085563,24511690,18082145,18082144,255742334,39214712,37754599,29193209,21881288,267871342,37754598,47676893,40180677,31495974,31495973,40180675,47665540,37743655,37743654,47665538,50085099,61565234,65781690,61565241,256002188,40063632,50085104,59808668,259471613,115281918,129210480,129210479,115281917,115281918,271656776,129210479,260870642,255663790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7828034, s2 = 11027262, dlinesl.size( ) = 2 s1 = 7828034, s2 = 11027262, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7828034, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14162332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162332, s2 = 14162227, int(edited[s2]) = 0 s1 = 14162332, s2 = 14162227, d1 = 1, d2 = 1 Dl.O(d1) = 9166834,13407888,10761755,7110628,7110630,255043259,21582768,28855450,37396239,47305733,47306116,37397929,28857099,23144350,16884256,255964189,28854248,28854249,256167162,255845961,23313125,17050368,17050371,23313136,21582852,15558780,10761792,10761793,15558786,21582871,28855583,31100727,23616693,17303380,17303378,15994191,15994190,22105051,29438065,28855523,28855522,37396310,47305781,47917124,55700721,55700722,47917128,38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,49799226,60657218,49256729,39330107,30731788,30731787,39330105,49256726,58696236,49799746,39780331,31101786,31101787,39780333,49799749,59735383,48351331,38449134,255143596,49799040,39780535,39779727,39779726,49257929,39332160,31100610,31100188,31100189,31100654,23616650,23616649,29778219,29778220,38000517,31101110,30732573,29437632,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,31871098,39778447,39778446,49798282,61277798,61278644,60657821,256478670,42162624,33202688,25455794,18856842,13435265,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435011,9185464,267860959,2252451,2252452,3760029,6011869,9185472,13434897,9185383,9185382,13434895,13436761,17668785,255437033,10977579,7265951,7265950,10977575,15841091,12360252,8351378,8351381,12360254,17526316,21520431,23007793,16768365,16768367,23007795,17847076,12638402,255200275,24217493,26633154,26633153,31608563,24106161,24106160,31608562,32471876,24832072,18338434,18338433,24832070,30523467,27957231,254799424,46268050,57612514,70302987,59231599,268442214,85556383,75698205,62751074,55462307,44613696,35232313,27137539,20230673,14517168,9989208,6565307,6565306,9989207,9280662,9280661,13555860,17960725,17960726,20230028,14516740,14516739,20230040,14523426,14523423,9994336,6568408,4114757,2461251,2461250,4114755,6568404,9993383,9993384,14523705,16698319,20240285,22697847,16495011,16495010,20228456,20228457,20230063,16495018,14521396,14521397,14521379,9991925,6566967,6566966,4113921,2460739,2460737,4113915,6567006,6567693,6567695,9993141,14523316,20239817,27150401,35248821,30334426,22933580,16698722,11659380,7770724,4923890,2969511,254171409,308648,308649,171035,171015,94142,94141,171013,309150,551404,551405,309103,309102,552011,980325,635451,352641,193104,193103,352638,635444,980947,1725123,980743,552243,309095,309094,552242,980740,1725119,1725271,980925,980924,1725400,2969593,4924013,7770910,11659580,15046529,15046530,20955320,28133122,22943292,16707444,16707443,15046383,15046382,255370427,10373993,10373991,15046947,255796457,36604787,36604786,46471468,48850816,38931009,30345021,30345022,268418152,12508524,12508525,17686526,24038182,20955801,20955800,28133711,268653099,36607048,36607047,30344785,30344786,36607582,38930841,48850573,46473193,46473194,38929391,30343358,30343357,25962287,25962288,21853374,15782268,10933289,10933287,15782260,21853355,23891548,23891547,31387999,30411671,30411672,30411710,30411711,30411730,39001022,48925032,60323493,59937210,48544607,48544609,38920187,38920188,48656954,48656956,53686348,59937229,59937226,57827659,57827656,65246115,78536241,67818984,67818983,65319047,53319497,42856595,42856596,53319500,59384616,72116561,73331387,60587173,49187069,39261290,30665823,30665824,39261282,48387407,59770247,60236460,60236461,71005715,71005714,72972163,62114739,62114740,62114975,62114976,74047039,72314005,258249388,65894157,79256935,93383646,87214334,73592302,60842686,59579039,48192664,38283311,36607263,30334448,22933605,16698735,11659391,11659392,16698740,22933611,30334458,29716868,29716869,38283534,44612388,35231251,27136706,27136705,35231246,38920667,33070593,33070594,42014631,48192554,38283217,29716602,22360677,22360676,29716597,38283208,42857189,42164627,42164628,42857162,33815751,33815748,29354002,22022875,22022874,29353996,33815722,33816043,33816041,33816218,30343115,30343116,38920564,38920563,48841065,257236898,30342967,25998504,22941305,22941308,30342536,38928711,44610705,44610706,35229675,35229674,30342392,22941175,255684788,11665730,7776224,4928087,2972502,2972503,4928089,7776228,11665736,16706090,16706262,11665848,11665849,16706264,15634613,15634567,10819365,10819369,15634580,18760876,13359241,9130031,9130030,12161962,14516505,14516506,17257834,17257832,23569166,31053131,39731615,42329788,33348355,25588057,18979136,18979135,16975345,11888078,11888079,255525061,30661134,37053757,28553470,21328395,15356360,10609091,7000203,7000204,10609093,15356365,21328404,256316147,42194876,33234725,31689145,24180419,24180420,31689146,40382836,48029881,48029884,59422333,255261502,269804457,254754404,7348336,4641240,4641241,7348338,11081821,15966187,22071118,29401581,37965855,47796147,37871492,29301980,21974662,15880410,11008350,11008349,255357423,27976881,27960978,20799136,14905806,254965393,9775644,14219485,19847656,26662442,34654057,37871114,29301529,29301528,37871111,47795933,47797779,44770588,35345172,27221757,21977243,15882319,15882320,15960848,11077477,7345280,7345282,11077486,11009559,11009561,14492434,11009586,11009589,11067485,11067482,15948315,15948288,13424835,13424841,15948299,18842860,25439196,268228713,7574108,4790315,4790316,254783185,16378741,22556499,29914004,255550710,31784876,40479213,49405535,50514392,256554355,24272174,17892653,12673943,12673942,17892650,24272166,31784965,30872683,23443719,23443720,24272148,17892641,12673938,8607009,5593108,5593107,8607007,12673934,17892628,24272122,31784902,40479238,50514219,40479228,40479229,50514287,257685823,40479329,31784968,31784967,39476660,39476661,49405559,258222437,50514284,40479227,33103215,33103214,42052228,52396252,49220328,49220327,49405554,50514344,62005801,60806068,60806067,62005840,50514386,50514385,62005838,62005799,60806070,49405524,39476634,39476633,49405522,60806066,73552924,87171113,98153676,84259879,74802373,74802372,76985611,63874725,52055895,270311580,54646211,257886263,43903104,43903105,54646193,54646156,54646155,66903219,80330354,94384875,108671537,94384880,80330367,66903237,66903236,60620854,49220407,49220410,40924260,32146891,32146892,40924262,51064902,62694117,269923197,75638399,62694121,51064889,51064888,62694119,62005581,50514079,50514080,62005585,270017260,50514067,62005564,62005571,258294764,62005612,257685790,40924252,32146887,24564011,256068507,40924254,256554331,26640350,19828147,19828148,24564021,18124522,18124521,268461707,40924271,51064916,52406659,64261910,75638425,75638386,62694103,62694104,75638388,74869204,62071071,62005579,62005580,74802219,62005608,62005607,68015101,68015102,60074236,48678100,38756537,37123576,37123575,47010528,58381607,60074230,60074229,50514143,42062886,42062884,42062952,47834118,47834119,51522178,63235361,60055472,60055471,64261939,60806040,49405495,256475548,23443697,17169220,12072177,12072176,17169217,23443692,30872643,39476601,49405478,60806029,258845145,257991106,56821690,45654255,35980907,27663992,27663994,27411890,20438271,20370977,14651090,10077831,6619244,6619242,4162376,2488052,2488051,2490016,4164643,2489772,1437865,1437868,2489839,2515107,4205619,6712188,10215377,268192955,23802795,256517125,49980504,257850385,43159304,257850383,258487186,257273628,35906255,255771537,4173903,267952357,27617558,257357635,257315900,34064507,26208169,26208171,26208202,19497652,19497651,25066907,18525938,13162695,8971855,8971858,13162713,10077885,6619256,6619254,6648244,6679437,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443014,2501024,1443376,1443373,1437830,817101,817096,1437854,2489799,2515007,4205409,6711813,10214721,14853809,20720177,27842183,36243912,257373175,258581093,260440137,138171771,272145881,97172112,83245389,69711543,69711542,69866809,57227691,57227690,56611600,45489727,45489725,37251577,28720693,27814991,27814993,36171243,36171240,45923920,45927128,50367433,255542376,70057553,70057552,83586273,97476599,269380868,65702114,53650941,256696383,257255897,65702116,79055887,93173365,107578894,121953794,111361064,111361065,111361261,259233151,69921402,257372651,36231847,27833835,268589395,257981747,83461189,97374676,96658477,271650326,45483205,35859877,35859876,45483203,56602571,45777006,256257685,27723147,256791269,271650156,97047929,260450385,111309353,259231559,259852685,82673460,69145276,69145275,259211021,97311280,83391046,69851789,57212834,256795245,27809996,27809997,268886383,57212837,69851793,83391047,97311282,111309355,125182159,138565382,151303593,163211909,273068057,261580015,271695413,259200631,68711024 Dl.O(d2) = 9166834,13407888,10761755,7110628,7110630,255043259,21582768,28855450,37396239,47305733,47306116,37397929,28857099,23144350,16884256,255964189,28854248,28854249,256167162,255845961,23313125,17050368,17050371,23313136,21582852,15558780,10761792,10761793,15558786,21582871,28855583,31100727,23616693,17303380,17303378,15994191,15994190,22105051,29438065,28855523,28855522,37396310,47305781,47917124,55700721,55700722,47917128,38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,49799226,60657218,49256729,39330107,30731788,30731787,39330105,49256726,58696236,49799746,39780331,31101786,31101787,39780333,49799749,59735383,48351331,38449134,255143596,49799040,39780535,39779727,39779726,49257929,39332160,31100610,31100188,31100189,31100654,23616650,23616649,29778219,29778220,38000517,31101110,30732573,29437632,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,31871098,39778447,39778446,49798282,61277798,61278644,60657821,256478670,42162624,33202688,25455794,18856842,13435265,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435011,9185464,267860959,2252451,2252452,3760029,6011869,9185472,13434897,9185383,9185382,13434895,13436761,17668785,255437033,10977579,7265951,7265950,10977575,15841091,12360252,8351378,8351381,12360254,17526316,21520431,23007793,16768365,16768367,23007795,17847076,12638402,255200275,24217493,26633154,26633153,31608563,24106161,24106160,31608562,32471876,24832072,18338434,18338433,24832070,30523467,27957231,254799424,46268050,57612514,70302987,59231599,268442214,85556383,75698205,62751074,55462307,44613696,35232313,27137539,20230673,14517168,9989208,6565307,6565306,9989207,9280662,9280661,13555860,17960725,17960726,20230028,14516740,14516739,20230040,14523426,14523423,9994336,6568408,4114757,2461251,2461250,4114755,6568404,9993383,9993384,14523705,16698319,20240285,22697847,16495011,16495010,20228456,20228457,20230063,16495018,14521396,14521397,14521379,9991925,6566967,6566966,4113921,2460739,2460737,4113915,6567006,6567693,6567695,9993141,14523316,20239817,27150401,35248821,30334426,22933580,16698722,11659380,7770724,4923890,2969511,254171409,308648,308649,171035,171015,94142,94141,171013,309150,551404,551405,309103,309102,552011,980325,635451,352641,193104,193103,352638,635444,980947,1725123,980743,552243,309095,309094,552242,980740,1725119,1725271,980925,980924,1725400,2969593,4924013,7770910,11659580,15046529,15046530,20955320,28133122,22943292,16707444,16707443,15046383,15046382,255370427,10373993,10373991,15046947,255796457,36604787,36604786,46471468,48850816,38931009,30345021,30345022,268418152,12508524,12508525,17686526,24038182,20955801,20955800,28133711,268653099,36607048,36607047,30344785,30344786,36607582,38930841,48850573,46473193,46473194,38929391,30343358,30343357,25962287,25962288,21853374,15782268,10933289,10933287,15782260,21853355,23891548,23891547,31387999,30411671,30411672,30411710,30411711,30411730,39001022,48925032,60323493,59937210,48544607,48544609,38920187,38920188,48656954,48656956,53686348,59937229,59937226,57827659,57827656,65246115,78536241,67818984,67818983,65319047,53319497,42856595,42856596,53319500,59384616,72116561,73331387,60587173,49187069,39261290,30665823,30665824,39261282,48387407,59770247,60236460,60236461,71005715,71005714,72972163,62114739,62114740,62114975,62114976,74047039,72314005,258249388,65894157,79256935,93383646,87214334,73592302,60842686,59579039,48192664,38283311,36607263,30334448,22933605,16698735,11659391,11659392,16698740,22933611,30334458,29716868,29716869,38283534,44612388,35231251,27136706,27136705,35231246,38920667,33070593,33070594,42014631,48192554,38283217,29716602,22360677,22360676,29716597,38283208,42857189,42164627,42164628,42857162,33815751,33815748,29354002,22022875,22022874,29353996,33815722,33816043,33816041,33816218,30343115,30343116,38920564,38920563,48841065,257236898,30342967,25998504,22941305,22941308,30342536,38928711,44610705,44610706,35229675,35229674,30342392,22941175,255684788,11665730,7776224,4928087,2972502,2972503,4928089,7776228,11665736,16706090,16706262,11665848,11665849,16706264,15634613,15634567,10819365,10819369,15634580,18760876,13359241,9130031,9130030,12161962,14516505,14516506,17257834,17257832,23569166,31053131,39731615,42329788,33348355,25588057,18979136,18979135,16975345,11888078,11888079,255525061,30661134,37053757,28553470,21328395,15356360,10609091,7000203,7000204,10609093,15356365,21328404,256316147,42194876,33234725,31689145,24180419,24180420,31689146,40382836,48029881,48029884,59422333,255261502,269804457,254754404,7348336,4641240,4641241,7348338,11081821,15966187,22071118,29401581,37965855,47796147,37871492,29301980,21974662,15880410,11008350,11008349,255357423,27976881,27960978,20799136,14905806,254965393,9775644,14219485,19847656,26662442,34654057,37871114,29301529,29301528,37871111,47795933,47797779,44770588,35345172,27221757,21977243,15882319,15882320,15960848,11077477,7345280,7345282,11077486,11009559,11009561,14492434,11009586,11009589,11067485,11067482,15948315,15948288,13424835,13424841,15948299,18842860,25439196,268228713,7574108,4790315,4790316,254783185,16378741,22556499,29914004,255550710,31784876,40479213,49405535,50514392,256554355,24272174,17892653,12673943,12673942,17892650,24272166,31784965,30872683,23443719,23443720,24272148,17892641,12673938,8607009,5593108,5593107,8607007,12673934,17892628,24272122,31784902,40479238,50514219,40479228,40479229,50514287,257685823,40479329,31784968,31784967,39476660,39476661,49405559,258222437,50514284,40479227,33103215,33103214,42052228,52396252,49220328,49220327,49405554,50514344,62005801,60806068,60806067,62005840,50514386,50514385,62005838,62005799,60806070,49405524,39476634,39476633,49405522,60806066,73552924,87171113,98153676,84259879,74802373,74802372,76985611,63874725,52055895,270311580,54646211,257886263,43903104,43903105,54646193,54646156,54646155,66903219,80330354,94384875,108671537,94384880,80330367,66903237,66903236,60620854,49220407,49220410,40924260,32146891,32146892,40924262,51064902,62694117,269923197,75638399,62694121,51064889,51064888,62694119,62005581,50514079,50514080,62005585,270017260,50514067,62005564,62005571,258294764,62005612,257685790,40924252,32146887,24564011,256068507,40924254,256554331,26640350,19828147,19828148,24564021,18124522,18124521,268461707,40924271,51064916,52406659,64261910,75638425,75638386,62694103,62694104,75638388,74869204,62071071,62005579,62005580,74802219,62005608,62005607,68015101,68015102,60074236,48678100,38756537,37123576,37123575,47010528,58381607,60074230,60074229,50514143,42062886,42062884,42062952,47834118,47834119,51522178,63235361,60055472,60055471,64261939,60806040,49405495,256475548,23443697,17169220,12072177,12072176,17169217,23443692,30872643,39476601,49405478,60806029,258845145,257991106,56821690,45654255,35980907,27663992,27663994,27411890,20438271,20370977,14651090,10077831,6619244,6619242,4162376,2488052,2488051,2490016,4164643,2489772,1437865,1437868,2489839,2515107,4205619,6712188,10215377,268192955,23802795,256517125,49980504,257850385,43159304,257850383,258487186,257273628,35906255,255771537,4173903,267952357,27617558,257357635,257315900,34064507,26208169,26208171,26208202,19497652,19497651,25066907,18525938,13162695,8971855,8971858,13162713,10077885,6619256,6619254,6648244,6679437,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443014,2501024,1443376,1443373,1437830,817101,817096,1437854,2489799,2515007,4205409,6711813,10214721,14853809,20720177,27842183,36243912,257373175,258581093,260440137,138171771,272145881,97172112,83245389,69711543,69711542,69866809,57227691,57227690,56611600,45489727,45489725,37251577,28720693,27814991,27814993,36171243,36171240,45923920,45927128,50367433,255542376,70057553,70057552,83586273,97476599,269380868,65702114,53650941,256696383,257255897,65702116,79055887,93173365,107578894,121953794,111361064,111361065,111361261,259233151,69921402,257372651,36231847,27833835,268589395,257981747,83461189,97374676,96658477,271650326,45483205,35859877,35859876,45483203,56602571,45777006,256257685,27723147,256791269,271650156,97047929,260450385,111309353,259231559,259852685,82673460,69145276,69145275,259211021,97311280,83391046,69851789,57212834,256795245,27809996,27809997,268886383,57212837,69851793,83391047,97311282,111309355,125182159,138565382,151303593,163211909,273068057,261580015,271695413,259200631,68711024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162332, s2 = 14162227, dlinesl.size( ) = 2 s1 = 14162332, s2 = 14162227, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162332, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 9077924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 635334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8185702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8185702, s2 = 267015, int(edited[s2]) = 0 s1 = 8185702, s2 = 267015, d1 = 1, d2 = 1 Dl.O(d1) = 15776951,21835130,15766138,10919174,7221589,4550091,4550092,7221591,10919178,15766145,21835139,17086405,17086406,21848599,21848600,29157023,21848437,21848436,21848448,29144627,21842319,19607525,14049955,9661123,6353128,6353127,9661119,9661539,6353345,6353347,9661543,14050647,19608546,26336917,255977616,50526988,50526989,51202812,41046653,32253493,255618421,12906276,12906277,18196088,24654102,32253495,40355110,31660159,24149751,24149752,24282624,17901948,17901949,24282625,31796452,257103871,62018708,62852160,51202774,41046618,32253465,24654080,18196075,12906266,254628203,5718042,8779516,12906268,18196079,24654090,32253480,41046639,51202798,62852184,55658345,55658346,60853916,73603642,64060002,52218481,41887332,37996443,29433848,22101461,15991463,11101291,7362009,7362010,11101293,255449223,29433839,29433838,37996418,31325942,31325941,40003800,32253462,24654079,18196074,18196073,24654076,32253457,268631910,29433810,37996377,47912244,59306364,258115768,73603727,63884513,63871674,52052592,52052591,63871671,76982471,90860569,76994855,63884184,52065897,52065896,63884134,63884382,258226577,49452412,39520171,30910825,25113216,25113217,25113211,18563148,18563149,25113214,32816711,31771157,24258914,17881410,17881411,24258915,31771159,40466024,256732200,58232698,58232699,257406255,46525857,269767293,84120372,73619627,60869041,49465733,47000295,47000294,58370655,47000308,37114466,28605071,28605072,37114468,39532095,257595602,256470330,39226277,30628376,30628377,39226280,39226248,30628350,30628351,257014973,32979187,25256306,18685382,18685381,25256302,20999103,20999104,28181755,36658248,28656304,28656303,37174538,46525856,46525855,47000225,49152946,39226299,255969169,16935226,11852685,7921859,7921858,11852684,16935224,23205731,30628388,39226254,39226252,30628352,30628353,30628357,23205706,268423763,26962851,26962852,23205696,16935203,16935202,23205695,30628345,35043196,35043197,39226598,30628690,23205992,23205989,30628685,39226593,41039756,41039757,47266163,47266164,58657898,63069296,268659542,47174764,58563618,60552427,49152910,39226233,30628340,30628341,37356388,28816961,21548048,21548049,28816958,32247193,37356366,254376178,254174740,7096523,4468115,4468117,7096526,10740808,15530108,13146678,13146677,254815778,32725219,268423766,257014994,44721007,35301399,27182168,20259483,14535740,10001179,6572520,6572517,10001173,14535731,20259470,17079110,11991847,11991846,17079108,23345801,26578526,23345479,17078880,17078881,23345481,30768629,30770592,255454328,29776684,34563315,39370150,34564366,26577434,256196519,26578426,26578427,255467382,38418869,34565592,34565591,254238166,19776102,17080322,11992584,11991039,11991037,17077721,17174695,23344055,17077854,17077851,17077988,19775983,14164900,9738271,6403754,6403753,9738267,14164891,17344894,23661896,31148786,34565428,26578795,26578796,34565431 Dl.O(d2) = 15776951,21835130,15766138,10919174,7221589,4550091,4550092,7221591,10919178,15766145,21835139,17086405,17086406,21848599,21848600,29157023,21848437,21848436,21848448,29144627,21842319,19607525,14049955,9661123,6353128,6353127,9661119,9661539,6353345,6353347,9661543,14050647,19608546,26336917,255977616,50526988,50526989,51202812,41046653,32253493,255618421,12906276,12906277,18196088,24654102,32253495,40355110,31660159,24149751,24149752,24282624,17901948,17901949,24282625,31796452,257103871,62018708,62852160,51202774,41046618,32253465,24654080,18196075,12906266,254628203,5718042,8779516,12906268,18196079,24654090,32253480,41046639,51202798,62852184,55658345,55658346,60853916,73603642,64060002,52218481,41887332,37996443,29433848,22101461,15991463,11101291,7362009,7362010,11101293,255449223,29433839,29433838,37996418,31325942,31325941,40003800,32253462,24654079,18196074,18196073,24654076,32253457,268631910,29433810,37996377,47912244,59306364,258115768,73603727,63884513,63871674,52052592,52052591,63871671,76982471,90860569,76994855,63884184,52065897,52065896,63884134,63884382,258226577,49452412,39520171,30910825,25113216,25113217,25113211,18563148,18563149,25113214,32816711,31771157,24258914,17881410,17881411,24258915,31771159,40466024,256732200,58232698,58232699,257406255,46525857,269767293,84120372,73619627,60869041,49465733,47000295,47000294,58370655,47000308,37114466,28605071,28605072,37114468,39532095,257595602,256470330,39226277,30628376,30628377,39226280,39226248,30628350,30628351,257014973,32979187,25256306,18685382,18685381,25256302,20999103,20999104,28181755,36658248,28656304,28656303,37174538,46525856,46525855,47000225,49152946,39226299,255969169,16935226,11852685,7921859,7921858,11852684,16935224,23205731,30628388,39226254,39226252,30628352,30628353,30628357,23205706,268423763,26962851,26962852,23205696,16935203,16935202,23205695,30628345,35043196,35043197,39226598,30628690,23205992,23205989,30628685,39226593,41039756,41039757,47266163,47266164,58657898,63069296,268659542,47174764,58563618,60552427,49152910,39226233,30628340,30628341,37356388,28816961,21548048,21548049,28816958,32247193,37356366,254376178,254174740,7096523,4468115,4468117,7096526,10740808,15530108,13146678,13146677,254815778,32725219,268423766,257014994,44721007,35301399,27182168,20259483,14535740,10001179,6572520,6572517,10001173,14535731,20259470,17079110,11991847,11991846,17079108,23345801,26578526,23345479,17078880,17078881,23345481,30768629,30770592,255454328,29776684,34563315,39370150,34564366,26577434,256196519,26578426,26578427,255467382,38418869,34565592,34565591,254238166,19776102,17080322,11992584,11991039,11991037,17077721,17174695,23344055,17077854,17077851,17077988,19775983,14164900,9738271,6403754,6403753,9738267,14164891,17344894,23661896,31148786,34565428,26578795,26578796,34565431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8185702, s2 = 267015, dlinesl.size( ) = 2 s1 = 8185702, s2 = 267015, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8185702, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 395944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8186768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8186768, s2 = 11655647, int(edited[s2]) = 0 s1 = 8186768, s2 = 11655647, d1 = 5, d2 = 7 Dl.O(d1) = 259297302,29490266,269336305,15606094,254741545,4491333,4491332,4746872,2860714,2860712,3294675,4492137,4492139,7135257,10434484,12596119,12193252,8223549,5293749,5293748,7712092,7712089,10793088,7130797,7130796,10793081,11015040,7291861,7291863,7132120,4490134,4490137,7132136,10794843,10711765,7076620,5355677,3291711,3291713,5355660,7509763,5355559,5355556,5367359,7133877,10797006,11170886,7411129,7411128,11170882,16084844,16084791,15658088,10839135,7165390,7165391,10839137,7510893,7164208,4512192,2711345,2711344,2821775,1637033,930842,893061,503910,282591,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570884,2711702,4512819,4590817,2762044,2762043,2940874,4880819,7164523,7164522,10838097,11966320,8010522,8010523,8981634,5863818,5863819,8981626,10837100,7163702,7163703,10837102,15656251,18536343,13170899,8978287,8978288,13170901,18536346,15657470,10838431,255049265,10836735,7712018,4880720,2940809,1705351,1705350,2940804,4880706,7711993,11586211,11394901,11394902,15657858,17434670,23006981,16767246,16767247,23006985,21696385,15656024,10836835,7163499,4511733,4511732,7163492,10836823,11311855,11311853,15606653,21638364,22436011,17312062,254719554,8010476,8010475,11966266,16507353,16507352,12288883,12288884,15612748,10801993,7137356,7137355,10801987,8256951,5326741,3274109,3274108,5326737,8256941,12229235,15655514,15655515,17434654,12288865,12288866,15912976,15912977,17339789,12213614,8244067,8244066,12213609,17339783,23656567,22014578,15912966,11034594,11034595,12288925,8299291,8299290,12288918,9142326,5982677,5982678,8310132,5362064,5362062,8310123,12303529,11039801,7314220,7314221,11039806,15917601,12309429,10799113,10799116,12288002,17433729,17438815,17438814,22326311,16180705,16180704,22326307,17434073,17434072,256008757,255194207,12562417,12202034,12202036,15656657,15656656,17434040,17433756,12288020,8298638,8298637,12288018,17433750,12612600,12612601,17814622,22435772,22026074,22026075,16611682,12562448,8517692,8517691,11246963,7465606,4717793,4717794,7465608,11246970,12303487,12213488,254586135,5315684,8243997,12213494,15905726,16726234,11683759,7791124,7791125,11683761,16726236,17290018,17290017,21645379,255046255,7137306,7137305,7316951,11042375,8228573,7316930,7316929,11042342,7323101,7323099,5251828,5251827,8182071,11030038,7304520,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210422,254348469,1617616,1617617,2788191,4628535,7327659,8195021,12163787,8195035,5265096,5265093,8195039,10937051,10937050,11721028,7827172,7827171,268397831,10430745,15122793,21053826,21054824,28255704,29890537,22535894,22535892,29890535,255106294,29316541,21988246,21988245,23811994,31297877,39971992,49718301,39699549,255992949,17233051,17233052,17232740,12114257,8145336,8145337,12114258,17231588,17231589,12114614,12114613,15348838,12114589,8145571,5218047,3183051,3183052,5218052,8145579,12114439,12114437,14567445,10024051 Dl.O(d2) = 14567443,20299706,21319447,21319446,17232273,12113918,12113917,10602990,6995745,6995746,10602992,15348817,20107980,20107981,26998439,23541369,17233149,12114580,8145563,8145564,8145377,5217934,5217933,8145375,12114316,11936322,11936321,15077585,10399723,8145210,5217828,5217827,3289111,1934231,1104824,1104825,1934236,3289122,5351722,7987518,8145891,8145890,11935134,11935135,17019077,12113670,12113671,8295664,8295662,12283653,17427793,23753898,20863959,14962086,10294672,9887310,9887309,14381672,11571272,10882165,7194970,7194971,10882167,11334517,7531958,7531961,7976909,7976910,11922772,17008910,13987226,9608662,6311238,6311240,9608669,11207521,16133757,14580175,11446034,11446035,16430916,22615444,29982503,35371456,35371455,38376984,29805095,29805093,28868525,21593785,255846901,28440554,36939996,46817987,58184458,52328229,268330752,32299538,29655309,22303598,16157813,16157815,18997607,13557480,13557481,14579690,14579691,10034840,10034839,12515010,8478536,254864281,17694399,17108968,12022970,8083149,8083148,12022967,17108964,13988953,13988952,16655218,22883926,19199511,13712151,13712152,19199515,25856334,24569040,24569041,32152531,38377380,38377381,29805814,29805815,28567164,21339888,21339889,15365735,10616627,261096301,152483459,164351191,175144206,263493559,200262251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8186768, s2 = 11655647, dlinesl.size( ) = 2 s1 = 8186768, s2 = 11655647, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8186768, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 267693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 268144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 268144, s2 = 11527078, int(edited[s2]) = 0 s1 = 268144, s2 = 11527078, d1 = 0, d2 = 37 Dl.O(d1) = 6598825 Dl.O(d2) = 123992302,262101147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 268144, s2 = 11527078, dlinesl.size( ) = 14 s1 = 6585138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1682970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 268878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 269000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 572182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15126552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15126552, s2 = 15054527, int(edited[s2]) = 0 s1 = 15126552, s2 = 15054527, d1 = 23, d2 = 19 Dl.O(d1) = 9124556,13352399,18753144,25332569,268740445,37655977,47561981,257478481,46828175,46828174,258034899,61386028,49905613,49905614,270899447,257265264,60241936,48848250,38928113,256995449,38928115,30341844,22940621,16705034,11664973,7775663,4927742,4927741,4299954,2570811,2570812,254488427,10395038,255358697,18701692,13308592,9103132,9103133,13323150,18701694,13308593,13308594,18701696,25274048,32998701,256628109,25274046,25274047,32998698,41939938,52279213,52279211,52279212,64129130,77277502,91197800,91197804,77277506,77277507,91197806,105420528,105420529,119657969,133531920,133531917,133531918,261958209,170506960,180642603,189544594,197236021,203796791,209274307,213768066,217455975,220532874,265278052,225413833,227381227,227358535,225386414,223116861,220488984,217398023,213689431,209168588,203660887,197072238,189358887,189358886,180443151,170301842,158960365,146593675,146593676,158960367,170301846,170301844,170301845,180443152,272349770,192052893,183505366,173729279,162721969,162721968,173729276,261123930,137626906,137626905,150623862,261673968,173729277 Dl.O(d2) = 14925129,20823105,255111018,57644819,70335292,255893622,44392187,35015851,35015852,37828950,29263315,29263314,37828949,47751270,59149814,71887539,268994062,115856407,113005622,113005621,126858281,126858279,258245976,99017051,99017052,99845562,101864975,99845557,269789514,59563712,48177103,48177104,59563714,255164400,48879327,48879326,60271122,61452711,61452710,74231884,87836579,101810261,99017059,85091584,71519149,58789328,47401561,37493650,37493651,47401457,47401458,58789219,71519040,58789335,58789336,71519048,71519047,60707538,49305177,39377422,30775940,23352170,23352172,30775942,39377426,49305183,60707544,60624180,49222930,49222929,60624179,73369873,60707560,60707559,49305209,39377444,30775954,30775955,39377446,49305214,60707579,73455964,257446362,58475528,47097653,256325893,15436956,254733909,4436413,4436414,7048646,7115201,10768899,15569147,18701116,20602622,27664254,24137150,17889567,12671633,12671634,17889574,18697786,13304770,9086360,9086364,13304778,12577838,8531053,8531052,12577830,17773042,16838646,11775466,11775464,16838638,16838715,12671546,8605371,5592056,3469351,2057320,1180335,662852,662854,1180347,2057346,3469386,5592097,8605414,12671672,17889642,16838728,11775511,11775512,12671514,17889349,18215044,18215043,23376829,17889216,17889215,24268039,24268458,17889535,12671618,12671620,17889541,17889582,23093718,16838594,16838596,15253649,15253565,15253566,15253587,21223249,24268095,31780632,24268074,24268072,24268779,24268903,24268906,24268262,17889393,17889394,17889490,17889363,12671524,8605318,8605252,8605254,8605465,12671730,17889702,24268714,31781338,25345175,25345174,24268167,24268147,17889297,17889298,17889842,17889843,24268401,24268402,23287929,23287930,24268770,31781408,40476028,40475378,31780797,31780792,31780791,28450015,21223358,15253667,10523391,8605270,5591990,3469312,3469313,5591996,8605282,12671463,17889267,24268109,30326971,22925947,22925948,30326977,30508815,24267995,17889173,12671388,8605233,5591970,5591967,8605225,12671375,17889157,23093817,16838675,16838674,23093811,24268162,23093851,16838699,16838700,17889519,24268426,31780993,30804819,23376785,23376784,30804806,36950319,28450071,28450072,28354675,24268234,21223420,21223418,21139907,15188866,10523395,10523397,15253679,12671431,12671433,17889229,24268061,31780621,30327026,22925973,16691557,11652544,11652543,16691552,22925961,30327002,28358017,21143205,15191194,10478220,10478221,10461154,10461157,15168371,21114331,28323992,29147685,29147684,37707909,47630081,46737234,36855730,28357899,21143120,21143123,28357907,36855692,36855689,36855683,36855685,36855924,46737499,36855521,28357705,21142950,21142948,28152658,28152657,36626180,256846713,58073824,58073791,46701803,36819316,28323994,28323995,256300083,268434296,38797100,30212913,30212915,36855290,36856113,28358340,28357671,21143616,21143615,21140426,21140425,21114392,21114391,28324069,28355474,28355254,22820928,22820925,30212922,28357363,21142605,15190794,10477982,10477983,15190799,21142618,21143128,21143127,21143250,21143235,15191225,15191226,21141402,21140990,21140989,21143065,21143063,21143165,15191171,15191169,21143155,28357329,36855174,257417887,28355298,21141010,21141009,28355296,36852853,257417881,58106154,46736385,36854316,36854315,46736383,257417943,36854835,36854834,46736951,46737885,46737884,258027726,58108079,58106909,257417910,36852928,36852929,36853998,36854894,28357048,21142322,21142321,256299963,256299931,21141958,21141960,21141965,21141966,28355901,21141517,15190100,15190099,21141515,28355898,256299899,36854055,46735145,46735143,256838811,28357163,21142430,21142431,28357164,28357183,268202528,21140232,15189080,15189083,15191359,21142189,28356884,36854727,28357009,21142292,15190579,15190580,21142297,28354595,21142680,21142681,28357433,28358372,36855054,46735108,58105742,70822151,258027704,46737938,36856165,28358385,28358260,28358261,36856056,36854227,36854224,36852966,28356374,28356375,36854123,40018299,31339174,23846590,23846589,31339169,36854814,36610454,36610447,36610407,36610406,46476397,57832191,58106949,46736204,36855017,36855015,40018408,50037803,40018392,40018390,50037796,61516726,74063450,84380710,84380711,74294413,61516765,61516766,74063270,61283899,49805673,39786454,31107230,23622077,23622079,31107232,39786457,49805678,39787855,31108389,31108388,39787850,49806975,61284245,74063421,74063522,74063291,61283942,61283943,61284856,49807028,39787914,39787915,39786731,39786730,46736159,36854028,36854030,31107841,23622493,17307701,17307703,23622464,23623097,31108737,31107926,31107925,31108131,31108132,31108393,39787586,39787585,39787054,39787053,39786494,31107267,23622097,17307477,17307478,23622101,31107279,36854089,28356363,28356364,23622445,23622444,17307921,12184640,12184637,17307913,23622888,31108057,23622639,23622284,23622282,31107335,23622158,17307893,12184628,12184627,17307555,17307554,23622237,31107471,31108785,31107889,23622521,23622522,31107891,39787206,49806103,49806104,49806678,258405162,31108319,23622808,17307874,12184622,8215613,5286054,3238270,3238269,5286048,8215602,12184599,17307826,23622720,17307840,12184604,12184602,17307833,23622734,31108088,23622650,23622648,31108080,31108311,31108309,39787076,49805885,39786712,31107446,23622221,17307538,17307537,23622215,17307960,17307958,23622957,31108535,39786576,31108493,31108492,39787943,39251278,39251276,31107728,23622409,17307655,17307629,12184500,8215658,8215660,12184712,17307645,12184508,12184507,12184611,12184556,12184555,12184566,12184589,17307807,23622691,30655562,23622753,17307844,17307847,23622762,31108098,23622657,17307791,17307793,23622666,31108116,39787508,38900928,38900927,39787748,31108304,31108305,31107431,29664123,22311953,22311951,29664118,38230382,39787567,46640439,46640440,39786984,39786983,49806143,58105572,46734313,36851879,36851881,31107648,23622350,17308053,17308054,17308067,23623146,31108262,23622773,17307854,17307855,23622604,23622602,23622607,23622608,31108007,39787372,39787657,39787397,39786990,39786989,269390469,61284505,269810203,48140517,48140518,48837101,60231552,258806657,100528229,87667257,74063917,61285142,49807351,49807350,61285138,72968831,86567045,72968797,60231584,48837136,48837111,48837112,48823085,48823086,48823089,48823091,48836996,48829050,38907292,38907290,48828943,38907201,38907202,38907339,38907338,48829106,49807159,39788075,31108624,23623024,17308006,17308007,23623030,17308025,17308024,23623071,31108703,39788227,47446262,37538138,28992822,21708494,15666661,15666663,16696706,17477054,17477055,23810852,31296841,38916659,30330269,30330271,30330232,22929477,16695028,16695029,22929451,16695017,16695016,22929446,30330180,30330077,22929387,16694981,16694980,22929384,30330072,30320495,22920175,16686545,16686547,22920182,30320507,38907186,48828925,48829241,47451693,37543771,37543772,30330314,28998303,28998301,37538054,47446178,38916637,38916636,48837247,60231637,49806827,47446242,47446241,48837251,39971253,38916694,30330296,22929509,22929512,22929505,22929507,23810888,17477073,12322018,12322019,17477074,23810891,31296887,30330061,30330060,38916379,47451614,256517723,22929416,22929415,30330117,30330211,38916578,31296669,23810707,17476943,17476942,23810701,23810590,23810589,31296571,30317444,22916982,16683433,16683432,22916978,22914312,22914313,22916619,28998293,37543663,31296596,23810623,23810624,30317434,30317428,30317427,23810661,17476907,12321903,12321904,17476912,17477035,12322001,8322995,5370536,3301541,3301542,5370542,8323004,12322067,17477145,17477179,22916942,28983127,21713282,15670618,10848554,10848553,15670614,17476840,17476839,16683299,11645419,11645417,11645431,16683325,16683390,22916933,30317246,22916773,16683244,16683243,16681260,11643850,11643851,16681266,22914286,30314378,23810616,17476878,17476644,12321751,8322823,8322824,12321755,12321873,8322884,8322885,12321879,17476864,17477041,17476778,12322021,8322974,8322973,12321885,12321917,17476927,17476963,16682775,16682773,255855869,15670639,10848564,7172053,4517731,4517730,2961829,1717635,1717632,2961824,4913561,7758319,11645445,16683354,22916199,23810999,22917659,22917658,30314434,30314435,30314424,22916821,16683287,16683288,11655037,11655038,11645474,11645475,16683411,16682822,11645102,7758153,4913470,4913471,7758158,11645110,8322948,8322947,12321973,12321852,8322875,8322873,12321840,16682710,22916114,16683373,16683370,22916911,23810768,21700635,21700634,15670646,10848567,10848568,15670653,16683236,16683206,11645354,11645355,11643837,11643838,16681234,21713301,22917647,16683993,16683994,22917653,23810916,23810917,28998431,28998429,30316973,22916803,16683269,11645394,7758299,4913550,4913551,7758303,11645402,11645910,16684020,22917683,21511698,21511697,28773224,37306957,256873695,39970819,31296488,31296489,37307348,30317389,30317390,30317148,30317146,38903985,37926946,29360638,29360637,29336871,22916998,22916999,30317122,30317113,30317115,37306945,37307181,37307495,28773707,28773706,37307491,30307880,22908475,22908476,28773713,28773715,37307505,47213487,37307002,30317260,30317261,28773218,28773220,22916163,16683274,16682766,15502154,10720656,10720613,7082712,7082710,10720606,15502065,255408867,28773292,28773524,37307304,257453497,47827452,270314926,258688814,268386049,15502145,254736905,7082730,10720645,15502133,10720709,10720694,7082753,7082754,10720698,15502235,21511952,15502368,10720765,10720766,15502375,21512182,28773907,28773532,28773533,28773049,28773053,37306797,47213323,58602520,71334263,73536423,86568037,72969916,60232797,48838458,38917948,255948716,22930599,21511794,21511796,256332649,258064361,50281030,40260078,40260079,50281032,49388253,39459889,39459888,49388251,269848309,87154812,258688832,72949349,84904014,258688830,86548491,72949033,72949034,258843559,259315727,71334491,58602943,47213967,38891430,30305303,30305304,38891433,38898281,38891444,38891445,38890721,30311755,22927549,22927550,30328416,30304672,22905583,22905584,30304673,256992863,258182069,257573585,38890614,38890615,256992853,30304513,22905446,16674037,11638655,7753887,267833751,1716406,975272,975274,1716413,2960052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15126552, s2 = 15054527, dlinesl.size( ) = 8 s1 = 11655750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7963183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9393534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 401610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 402000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1081213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6472993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 270493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8072794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 402614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 402765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1134195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1134195, s2 = 629102, int(edited[s2]) = 0 s1 = 1134195, s2 = 629102, d1 = 5, d2 = 6 Dl.O(d1) = 15732729,21790899,29088643,29194847,21882876,15806904,15806905,21882879,16552875,254957278 Dl.O(d2) = 38785271,30200948,22810066,16592568,15183391,10473018,6905406,4337201,2596614,1497950,1497951,2596645,4337270,6905533,10473223,12112661,17230734,23538637,28783586,21520053,15607553,10798022,7134524,4491774,4491775,7134592,9649032,6514108,4081762,4081768,6514148,6344351,6344352,6513860,6513550,6513553,6514487,9912460,14412622,20101626,26991714,35076026,44450883,55295444,67633450,81098961,95156370,109410990,109410998,123603508,261554005,150377422,262183908,133960321,120118490,105906695,105906694,105906697,91699422,77771993,77771994,91699424,105906699,99754422,99754419,99754420,85800424,72206284,59468627,48077996,48077995,59468625,270321335,99754418,260592167,99754426,85800428,72206288,59468630,256935989,29598581,22249304,16111524,16111523,16111520,16111519,16110101,11190207,11190206,16110099,11191085,11191084,11191642,7425839,7425838,7425292,4692128,2827166,2827165,4691757,7424670,11189987,7424692,4691765,4691764,7424686,7425710,11191178,7425493,7425492,11190214,7424827,7424826,11190213,7425339,4692170,2827199,2827200,2827207,2827208,4692181,4692483,7425322,4692155,4692156,4692301,2827294,1640387,1640388,2827296,4692302,7424555,4692295,2827286,2826946,1640466,932818,267766261,932661,525682,294571,162903,162902,294568,525673,932644,525703,525704,932701,1640240,1640246,932704,525705,525706,932706,1640249,2827074,254527361,11190357,16110345,22247899,29596929,38163509,29597830,22248692,16111021,16111020,22248689,29597826,29598229,29598230,38163063,29596516,22247536,16110050,12682805,12682806,17903132,24283848,31797760,40492681,48075525,38163508,38163506,38163507,256393671,22247697,16110161,16110160,22247690,29596693,38163261,48076090,44417318,44417319,46824188,47097092,50197020,40173469,40173468,38163290,29596725,29596723,256935807,44417338,40492659,37333082,28795610,21530360,21530361,28795611,33271666,25511180,18900962,18900963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1134195, s2 = 629102, dlinesl.size( ) = 2 s1 = 1134195, s2 = 629102, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1134195, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 10221616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7859345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9343492, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9081458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9081458, s2 = 15156920, int(edited[s2]) = 0 s1 = 9081458, s2 = 15156920, d1 = 1, d2 = 1 Dl.O(d1) = 256516578,41939720,52089363,268254530,32854762,25466767,256129539,36773102,36773101,256516576,63908647,52089356,41775556,256011624,18591555,13211582,13211581,18591553,25147859,32854758,25273835,18701466,13308287,9089616,5946308,3718552,2226708,1291473,737140,737139,1291471,2226706,3718550,5946306,9089611,13308280,268291947,256628087,41939679,32998435,25273788,256113115,28154289,20975589,15064520,10388614,6846621,254326067,2568402,254487989,10388622,15064529,18701463,13308284,13308285,255798413,20975587,256286253,20975577,15064507,255372155,28154278,256824361,32998437,255651041,13308255,255250211,15064511,254715051,6846618,10388610,15064514,18701441,13308270,9089600,254440287,2226703,2226704,3718548,5946304,9089606,255250221,10388619,6846624,6846622,10388615,15064522,20975593,28154294,36627976,46494457,257575234,46494461,46494462,57850478,70552201,84088993,97962764,100525824,100525825,114556566,128440768,114556581,259620570,100525837,86564469,86564468,100525835,114556578,272231193,258366410,100525830,258993360,98427554,258823078,99887044,100149092,86186309,72588702,59850908,48460220,38547962,29979015,29979017,38547965,48460223,38815708,30232481,30232479,30232485,22839922,16617888,11591539,11591540,16617889,255941903,256985701,38815711,41176419,51362587,51362595,47883510,37964870,37964871,257502155,41176428,257145041,32360660,32360661,32360718,24744423,18271333,12967556,8826280,5750982,3580917,2133823,1231231,1231230,2133821,3580913,5750975,8826269,12967537,18271271,24744326,32360594,41176365,41176406,41176405,41176382,41176383,41176384,32360622,24744350,24744351,268715673,32360620,32360619,25215380,25215379,32932287,41224156,51421103,63118001,63043735,63043736,256221954,89929246,86303898,72706913,72706912,86303896,100265902,86860451,258761418,259320018,81072782,67604731,55263066,44415553,35041205,26961166,20077287,20077286,26961164,35041203,44415550,55263061,59023339,71767054,85357394,95130881,95130882,268915052,66858556,61994521,50502551,40466439,31771528,26343926,19615105,14056085,9686396,9686395,14082484,19647383,19647327,14082399,14082305,9686219,9686220,14082311,14082271,9686201,9686203,14082273,14082261,9686197,9686198,14082267,19647202,24605893,18157245,18157244,24605891,26343903,19615068,14056057,9909050,6512675,6512676,9686595,6371586,6371587,6355738,3987729,3987730,6355743,9665411,12875697,12875698,14406650,20093843,26982773,32194268,32194266,24605886,18157238,12875680,12875682,9535045,6255098,3915727,3915729,6255103,9535059,13895422,19421768,26114982,20093902,20093901,26114986,256172767,26343934,26982776,34217486,26343932,26343931,20093891,18139292,18139291,14406689,9909078,9909077,14406685,20093877,26982801,32168703,32168704,26343894,26343896,30434061,23027714,21340659,21340660,26114957,26114960,24582815,18139213,18139212,21340675,15366372,10617172,7006470,4404226,4404225,7006467,10617160,15366360,21340654,28568074,34217489,30073150,22693200,18139256,18139236,12862841,12862837,12862838,12862883,12862884,18139300,16785306,16785305,23027582,19648745,14083551,14083550,255717795,34261247,28327000,21117033,15170695,15170693,19450115,19450114,26148131,32168938,24583103,24583106,28673622,26383353,26383352,25970672,19303906,19303907,25970677,26114925,24583030,18139397,18139396,24583027,32168876,40948520,40948433,32168732,25970931,19304136,13802521,254666803,6206222,6206268,3884557,3884556,6206265,9465203,6372024,3998438,2396300,2396299,3998435,6372032,9687176,9465082,6206191,6206192,9465085,13802443,13802705,9553376,9553377,9534987,6255058,3915710,3915711,6255064,9534998,6564248,6564246,6268567,3924817,3924819,6206205,9465105,13802467,19304054,13802541,9656848,6349995,3984200,2387865,1382326,786410,445574,437300,437297,769365,1348352,2326047,3884544,6206251,9465184,13802584,255123148,33781360,42813898,42813809,33781289,33781290,42813811,42813798,33781283,25971024,25971025,33781285,42813803,52696398,42309446,42309445,42813797,33781281,25971023,25971022,33781280,42813782,42813783,53266758,268962664,42813839 Dl.O(d2) = 256516578,41939720,52089363,268254530,32854762,25466767,256129539,36773102,36773101,256516576,63908647,52089356,41775556,256011624,18591555,13211582,13211581,18591553,25147859,32854758,25273835,18701466,13308287,9089616,5946308,3718552,2226708,1291473,737140,737139,1291471,2226706,3718550,5946306,9089611,13308280,268291947,256628087,41939679,32998435,25273788,256113115,28154289,20975589,15064520,10388614,6846621,254326067,2568402,254487989,10388622,15064529,18701463,13308284,13308285,255798413,20975587,256286253,20975577,15064507,255372155,28154278,256824361,32998437,255651041,13308255,255250211,15064511,254715051,6846618,10388610,15064514,18701441,13308270,9089600,254440287,2226703,2226704,3718548,5946304,9089606,255250221,10388619,6846624,6846622,10388615,15064522,20975593,28154294,36627976,46494457,257575234,46494461,46494462,57850478,70552201,84088993,97962764,100525824,100525825,114556566,128440768,114556581,259620570,100525837,86564469,86564468,100525835,114556578,272231193,258366410,100525830,258993360,98427554,258823078,99887044,100149092,86186309,72588702,59850908,48460220,38547962,29979015,29979017,38547965,48460223,38815708,30232481,30232479,30232485,22839922,16617888,11591539,11591540,16617889,255941903,256985701,38815711,41176419,51362587,51362595,47883510,37964870,37964871,257502155,41176428,257145041,32360660,32360661,32360718,24744423,18271333,12967556,8826280,5750982,3580917,2133823,1231231,1231230,2133821,3580913,5750975,8826269,12967537,18271271,24744326,32360594,41176365,41176406,41176405,41176382,41176383,41176384,32360622,24744350,24744351,268715673,32360620,32360619,25215380,25215379,32932287,41224156,51421103,63118001,63043735,63043736,256221954,89929246,86303898,72706913,72706912,86303896,100265902,86860451,258761418,259320018,81072782,67604731,55263066,44415553,35041205,26961166,20077287,20077286,26961164,35041203,44415550,55263061,59023339,71767054,85357394,95130881,95130882,268915052,66858556,61994521,50502551,40466439,31771528,26343926,19615105,14056085,9686396,9686395,14082484,19647383,19647327,14082399,14082305,9686219,9686220,14082311,14082271,9686201,9686203,14082273,14082261,9686197,9686198,14082267,19647202,24605893,18157245,18157244,24605891,26343903,19615068,14056057,9909050,6512675,6512676,9686595,6371586,6371587,6355738,3987729,3987730,6355743,9665411,12875697,12875698,14406650,20093843,26982773,32194268,32194266,24605886,18157238,12875680,12875682,9535045,6255098,3915727,3915729,6255103,9535059,13895422,19421768,26114982,20093902,20093901,26114986,256172767,26343934,26982776,34217486,26343932,26343931,20093891,18139292,18139291,14406689,9909078,9909077,14406685,20093877,26982801,32168703,32168704,26343894,26343896,30434061,23027714,21340659,21340660,26114957,26114960,24582815,18139213,18139212,21340675,15366372,10617172,7006470,4404226,4404225,7006467,10617160,15366360,21340654,28568074,34217489,30073150,22693200,18139256,18139236,12862841,12862837,12862838,12862883,12862884,18139300,16785306,16785305,23027582,19648745,14083551,14083550,255717795,34261247,28327000,21117033,15170695,15170693,19450115,19450114,26148131,32168938,24583103,24583106,28673622,26383353,26383352,25970672,19303906,19303907,25970677,26114925,24583030,18139397,18139396,24583027,32168876,40948520,40948433,32168732,25970931,19304136,13802521,254666803,6206222,6206268,3884557,3884556,6206265,9465203,6372024,3998438,2396300,2396299,3998435,6372032,9687176,9465082,6206191,6206192,9465085,13802443,13802705,9553376,9553377,9534987,6255058,3915710,3915711,6255064,9534998,6564248,6564246,6268567,3924817,3924819,6206205,9465105,13802467,19304054,13802541,9656848,6349995,3984200,2387865,1382326,786410,445574,437300,437297,769365,1348352,2326047,3884544,6206251,9465184,13802584,255123148,33781360,42813898,42813809,33781289,33781290,42813811,42813798,33781283,25971024,25971025,33781285,42813803,52696398,42309446,42309445,42813797,33781281,25971023,25971022,33781280,42813782,42813783,53266758,268962664,42813839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9081458, s2 = 15156920, dlinesl.size( ) = 2 s1 = 9081458, s2 = 15156920, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9081458, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11656456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10165718, s2 = 68527, int(edited[s2]) = 0 s1 = 10165718, s2 = 68527, d1 = 3, d2 = 0 Dl.O(d1) = 24280230 Dl.O(d2) = 1384346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10165718, s2 = 68527, dlinesl.size( ) = 2 s1 = 10165718, s2 = 68527, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10165718, Dl.E( ) = 50, 1.91e-05 seconds used appending s1 = 10218577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1471547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13236255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13236255, s2 = 406867, int(edited[s2]) = 0 s1 = 13236255, s2 = 406867, d1 = 3, d2 = 0 Dl.O(d1) = 846094,846097,1493754,1491345,1491343,2586977,4323980,4330125,4330124,6898033,6898746,10404937,6858766,4313261,4313259,4313051,4313052,4313471,4313472,6868895,6868894,6897907,4330434,2590831,2579469,1485855,840527,473945,266382,266381,473940,840515,842362,1488616,2583498,4312789,4312790,4314390,4340096,267880219,2583284,1488413,1488412,1485762 Dl.O(d2) = 10438208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13236255, s2 = 406867, dlinesl.size( ) = 2 s1 = 13236255, s2 = 406867, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13236255, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 407266, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2567766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7887819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13282841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10175894, s2 = 13450590, int(edited[s2]) = 0 s1 = 10175894, s2 = 13450590, d1 = 89, d2 = 81 Dl.O(d1) = 42000305,33056895,25328221,18749035,13348346,9121096,5968405,5968409,9121110,13348377,18749046,25328248,23236770,23236771,30658012,23236746,23236744,17843876,12635992,255200195,24214265,24214264,31721558,40413432,46709534,36827291,36827292,46709536,37845878,37845877,33056474,255980626,21120079,15172666,13348344,255254395,25328213,33056882,42000282,46709563,46709562,258026343,256837029,28331284 Dl.O(d2) = 50544027,40508382,31812545,31812546,40508384,50544033,62035825,74832310,88465497,99844366,102470558,102470559,102468872,88465463,269888635,62035812,74832285,88465465,74834112,62037494,50545563,40509842,40509843,50545565,62037500,74834119,258920629,62037506,62037508,74832272,62035803,50544018,50544017,62035798,74832269,88465444,271422571,116569050,260757105,102470552,258920625,74834137,88467234,74834065,62037450,50545532,50545531,62037448,258297697,269888637,74834158,257886595,54652882,66909978,74832323,88465506,102468911,88465541,74832386,74832337,74832336,84651204,71088708,71088709,62035857,50544061,40508402,31812558,31812557,40508398,50544055,62035846,270289258,47002282,256859314,21372434,21372433,256319781,47002279,58372399,71088647,84642766,71080381,58466738,258055943,62035907,257105351,40508423,50544094,62035877,50544070,50544071,50544104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7150647, s2 = 1772154, int(edited[s2]) = 0 s1 = 7150647, s2 = 1772154, d1 = 21, d2 = 13 Dl.O(d1) = 263249089,195282131,262267132,141550504,128193942,114311171,100280782,100280783,114311173,128193946,141550508,141550516,141550515,259412426,113892328,99873831,85918636,72325486,59591231,48204994,38295801,29728964,22372231,22372232,29728966,38295804,48204996,59591235,256942308,85918630,258131666,99873849,99576603,85626339,257505416,47906928,37990793,29428808,22097550,15988813,11099505,7360909,4649642,4649643,6897892,7362495,4650542,2801230,2801231,4650544,7362500,11102046,12504415,17681379,22095943,16043402,15277041,15277042,255484379,14487485,14487483,15550553,11098705,7360426,7360425,11098700,15987626,22095998,21573554,15550518,10755122,7105521,7105518,10755118,15550509,21573541,28845287,22096093,22096092,22102823,22102824,28845327,29479120,22141744,22141743,23242880,23242879,28332381,22141987,20191369,14487466,9968135,9968136,14487469,20191371,27089584,35177685,40220481,31534536,31534537,37988265,29505872,22165918,22165917,28845264,21573522,21573521,20191401,15987646,11098719,7360433,4649380,4649379,7360431,11098714,10755149,7105535,4473497,2687605,2687604,4473493,7105527,10755135,15550545,21573587,16043397,11139778,11139776,16043390,21828590,15760720,15760722,11098921,7360556,7360558,11098930,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,22095990,22095992,22096069,24906705,22096049,15987935,15987936,20191349,15987416,11098556,11098554,15549172,11098613,7360384,4649357,2800561,1624544,1624546,2800566,4649365,7360409,7360510,7360508,10755103,15526538,11098846,7360503,7360502,11098837,13465457,13465458,15987719,22096127 Dl.O(d2) = 40206567,50227904,50232525,50232524,48511157,254862946,30024203,267846246,254408660,31520799,24020184,17671095,254187686,17669617,12495060,8463453,8463454,12495063,17669623,24018351,31518268,24016716,24016717,24019130,17670263,12495502,12495501,17670259,24018494,17670047,17670049,24018844,24023597,17673726,12498135,8467147,5473023,5473022,8467144,12497367,17672925,17670247,17670246,22651468,16460066,11468858,7628698,7628697,11468857,16460061,16460089,11468872,7628706,7628705,5468904,5468902,8463137,5469273,3363891,1978110,1129267,1129265,1978128,3363925,5469343,8463621,5470304,5470306,5470433,3365077,3365076,5470429,8464613,12496421,254274208,24026272,24020575,24020574,24023607,24020576,254274094,17674258,17674259,17674256,12498486,12496404,8464603,5470423,5470424,8464605,12496410,17671472,22132400,17675773,12499657,8467140,5473018,5473017,8467138,8462717,8462718,12494348,12494358,8462723,8462724,12494363,17668866,24017481,24024384,17674399,17674400,24024387,17676359,17676358,17674255,12498485,8466201,5472031,5472032,8466204,12498493,17674267,24024263,24026872,17676301,17676300,24018819,22651488,16460070,12500053,8467412,254274072,17676325,17669253,17669254,24017924,31519492,254408704,40205978,31519738,24018177,17669479,17669478,24018175,22965603,16729476,11686876,7793568,7793569,11686884,8467439,5473300,5473301,8467445,7376438,4660154,4660153,7376433,11121101,16017080,12498470,12498466,12499570,17675674,24019160,24019161,31520542,40205999,31519817,254274156,17674205,12498446,12498445,16729486,15558067,15558066,21581886,22651660,22651662,30024452,31520455,28854343,28854344,31529122,31529123,40212187,37991663,31526444,31526445,40206401,31520882,24024677,24024676,31520448,24019033,24019032,24021948,17672438,17672439,24021950,31519716,37999780,29437035,29437033,31522115,30367172,30367171,38953407,38445623,31526395,31526394,31520247,24018822,24018823,24019020,31520441,24024591,19689062,19689063,16024232,16024234,16024240,16024239,16024215,16024216,22141867,24024722,24024723,24024733,254863046,29436967,254603446,254603464,26426539,255189328,24017696,17674656,17669061,255189326,31519257,37999738,254863154,22104252,29436968,29908111,22551699,16375040,11396297,7572158,4788897,4788898,7572165,11102891,11102564,7362813,7362814,11099615,15988971,22097759,16024329,11126103,7379736,4662235,4662234,7379732,7362516,7362514,11102070,11102723,11102722,15993643,22104255,29434323,29435387,22104138,22104137,22104155,22104260,22104261,22104513,29437250,28845814,21573946,15550813,10755312,10755311,14987625,10319136,6788860,4256119,4256120,6788863,10319141,11099659,7360999,7360998,11099654,11100844,7361744,4650119,4650117,7361736,11100835,11125962,7379634,4662177,2808761,1629422,926529,926530,1629435,1624694,923966,520859,520857,923958,1624981,2801342,4650745,7362877,11102663,15993557,22104146,29436850,37999642,47915618,58133975,46766134,46766135,49269403,39343758,30744667,30744668,39343759,257604559,42088245,33136418,33136419,257194271,64298139,77454497,91379478,91379463,77454488,77454487,91379461,105604199,113579310,99562761,85612400,72023825,59287184,47890972,47890973,258112713,85612401,99562763,113579316,127455591,126678879,112821926,98830915,98830916,255840694,71332230,58599997,255039462,47210194,37303730,28770563,267751482,7082117,7082118,10719609,12691091,267787356,8356678,12367110,17534296,255039468,21506378,21506379,28766408,37299286,47205929,40058346,38998891,31810899,30680748,268072934,17000447,23264100,30680752,28766659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150647, s2 = 1772154, dlinesl.size( ) = 2 s1 = 7150647, s2 = 1772154, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7150647, Dl.E( ) = 22, 1.81e-05 seconds used appending s1 = 10177595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7828264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1777800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1777800, s2 = 6589234, int(edited[s2]) = 0 s1 = 1777800, s2 = 6589234, d1 = 6, d2 = 0 Dl.O(d1) = 46846673,36967841,36857487,28359551,21144451,255382458,10478828 Dl.O(d2) = 28359252,256300209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1777800, s2 = 6589234, dlinesl.size( ) = 2 s1 = 1777800, s2 = 6589234, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1777800, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10342398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342398, s2 = 11655549, int(edited[s2]) = 0 s1 = 10342398, s2 = 11655549, d1 = 9, d2 = 13 Dl.O(d1) = 269809283,17354473,17354472,23674025,31162569,37138146,28625295,21387541,15403716,15403715,21387539,21344886,21344885,28573160,37076515,46956880,58324054,71039443,84603254,98527866,112522457,126392769,137408300,257664232,67712138,55372376,44526256,35149768,27063931 Dl.O(d2) = 4342458,254262206,7559609,5262029,3217284,1885035,1885034,3217276,5262010,7289509,11011546,11283136,7490125,7490126,11283135,267907970,12136655,8166624,8166623,7545745,7545744,11357337,10453446,10453447,7356106,7356107,8163566,7680600,4859826,2928609,2928607,4859821,7680592,11544643,16562142,255159992,11343600,11343599,15539639,16304514,16304513,22474500,27034408,20141544,20141545,27034409,254760202,22477043,16306480,11345595,7539348,4769231,2875128,2875129,4769233,7539351,11345602,16306488,22477060,22477052,22477053,22511272,16337435,11367107,11367106,16337433,16310019,11347901,10587900,6984460,4388684,4388686,6984465,10587911,15329932,15922680,11045592,8184343,5253944,5253941,8184314,8150877,8150879,11045694,15922827,17290638,23603489,31087896,39766441,39774194,37015413,28516014,28226496,22567986,16387225,11405268,7578962,4793836,2889789,2889790,4793842,7578978,11405296,16387188,11405244,10782020,10782019,10782028,10782036,10782034,15586114,15150791,15150786,15150785,21092497,28300932,28300933,28300990,28300991,28890167,33109014,33109015,32788089,32785957,254524724,39035663,31096582,31095950,31095952,38439269,35363777,27240377,27240378,28519605,21298723,15331093,10588627,10588626,15331091,21298721,25089327,18544034,13176265,13175937,13175936,18543520,17299412,12177447,8209104,8209101,12177438,17299399,15321134,10582196,10582198,15321142,21284931,28503345,254356380,30445134,23037565,16793156,11741860,11741861,16793159,23037569,30445139,28414076,22079946,15974438,11089213,11089212,15974434,22079940,254845952,21102331,21102334,21455500,16475181,16475180,22671028,268954613,59928588,72668688,86268932,100234232,256296734,255379834,36494288,46352182,57701506,51317000,41133376,32319619,32319618,257728497,75978766,77967337,271051307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342398, s2 = 11655549, dlinesl.size( ) = 14 s1 = 276736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10181120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10181120, s2 = 10159908, int(edited[s2]) = 0 s1 = 10181120, s2 = 10159908, d1 = 150, d2 = 137 Dl.O(d1) = 62157996,62157997,71455650,58778195,47391099,37483540,37483538,47391096,58778192,71507471,74147119,73455874,258208284,70835580,58121117,46752601,36873411,28376717,268615072,6914114,6914113,255019059,15203416,21159438,28376715,28376713,28376712,21189127,15226361,10502956,6925515,6925514,6922587,6922585,10498199,15216106,10498717 Dl.O(d2) = 1376190,1376189,2377579,2390481,3988747,6357530,9667520,9667521,14058120,19617349,26346361,255707966,43317993,268784610,65908583,79270725,93396952,107818989,122224835,136189499,149440486,261507242,182787731,191439496,198884326,263305804,183526690,173756576,261383958,271670359,68114586,55718172,44811637,44811639,52453245,256722922,42100778,256124492,18816205,18816206,25406542,33146790,25406490,25406488,26620312,26620313,34608699,34626968,38640960,40087008,33146951,25406608,25406607,33146946,42100864,40528246,38640878,38640877,38641010,38640940,30066175,30066177,38640943,33146932,25406599,25406600,30066146,22687693,16487714,11487689,11487690,16487716,22687697,268073868,22687751,16487755,16487754,22687754,30066238,36768065,28273017,28273016,36768064,30066140,22687689,22687688,30066139,38640898,30066234,30066236,38641009,46652810,46652811,46610756,36723076,28229277,28229276,36723074,46610752,57987036,70704363,64178941,52327835,46652868,36768200,36768201,36768179,36768181,46652850,58025024,70738964,58881376,58268647,46902964,37025339,37025340,46610737,36723068,36723069,37598048,29050089,29050091,37598054,41987446,52327845,50349784,40323350,31634426,255077536,37598154,47502019,37598077,31216757,23732274,23732275,254766980,49914191,59384898,72116787,85166359,71601216,58881281,47501961,37598026,29050079,21756075,15701705,10869585,10869586,255424987,29050087,37598040,256386846,47993997,47995781,47995780,47502119,47501981,47501979,47995632,38083404,29518792,22176515,16051209,16051210,22176517,22177086,16051555,11145369,11145370,16051559,16051532,11145351,7392505,4670380,2813850,2813851,4670383,7392514,11145366,16051552,22177081,29519571,29518804,22176527,22176528,29518527,22176303,16051071,11145033,11145035,16051074,16051196,16051195,22176488,29518555,22176332,16051089,16051088,22176328,22175186,22175187,268632745,32564013,38083104,38083524,37597883,37597882,47501793,38083553,38083552,38083409,38083411,38084158,29519495,22177025,16051522,11145344,11145345,16051523,22177028,16051546,11145360,7392511,7392510,11145357,15701727,15701729,21756106,22176628,22176629,29518942,38083538,47995746,51666444,51666443,60553154,49153884,49153883,59384949,47995725,41424137,32564010,24912073,18406667,18406666,24912071,32564004,41424132,51666433,59384957,64568964,52668504,42281292,42281291,52668500,59385551,71601237,58881326,47502028,256423081,268644361,48479934,59871758,63409987,51666452,51666450,58881364,61909475,61909474,74702976,85166365,71601244,58881346,47502048,47502047,58881332,59871699,50419012,50419013,42868209,42868210,38566401,29995966,22627322,16441438,16441439,22627326,29995973,38566408,48479851,40384461,31690794,255453250,29996008,29996007,254766922,22627345,22627344,29996003,38566390,29995957,22627320,22627321,29995962,38566398,48479880,59871704,72609923,71766846,59023088,59023073,59023072,59969133,48577412,48577411,58881259,47501929,37598005,29050067,29050070,37598010,47501937,47621609,43255881,34165556,26297671,26297670,34165553,43255873,53771819,65831979,65789146,53733329,43221530,34133744,34133745,38661510,39830542,256674258,35350296,35350295,38923457,48843836,53127643,42676956,33647373,31148439,23661580,23661579,31148436,31148440,255690618,31798783,24284683,17903841,12683392,8614997,5600008,3476135,2062521,2062523,3476144,5600020,8615021,12683439,17903299,12683040,12683041,10990401,7275425,4588261,4588260,5209928,5209927,4583907,2757924,1598866,1598864,2757917,4583893,7268654,5609024,5609023,8626442,12697634,10807502,7141323,4496471,4496472,7141327,7403794,4677336,4677335,7403786,11161843,16073885,19539665,22203516,22203596,29415494,22203478,16073838,16073837,22203471,29484680,29484679,29547152,31798980,31798981,29415593,22085235,21091603,21091602,28299892,22146397,22146398,20230880,20230882,27137803,28932441,28299883 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 409698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 410041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 277805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9366142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9366142, s2 = 11659265, int(edited[s2]) = 0 s1 = 9366142, s2 = 11659265, d1 = 1, d2 = 1 Dl.O(d1) = 74608060,70933755,70933757,258024234,60487614,49084266,39154334,30556760,30556758,39154331,256347792,46848532,46848527,46848528,39154441,30556859,23139447,16879166,11809081,7887978,5009736,3029196,3029197,5009741,7887984,11809089,16879189,23139466,30556878,39154468,49084359,60487662,51940482,41636677,32729554,25041647,18507019,13148826,8961979,8961980,13148829,18507028,25041655,32191370,32191371,28471167,21250625,15285151,15285150,13376467,13376468,16879161,16879160,23139431,30556838,30556771,30556769,33097627,33097626,36969684,32912358,32912357,41839101,49084339,46848549,36969702,28471202,23139416,16879155,16879137,16879138,16879186,16879185,18176807,24631003,32227075,39154453,30556867,23139454,23139452,30556863,39154446,44449458,35074670,35074671,32912391,25199846,18637159,13250970,13250969,18637156,25199839,32912385,28913563,24158948,17791626,12592811,8543958,5541878,5541875,8543948,12592793,17791599,24158911,31668345,40362855,41017908,39103053,30506498,23091770,23091768,30506492,39103044,49032496,60436530,73183573,86795984,100776666,114828524,128728240,142086743,154725351,166435850,175016725,164202045,152319777,139591327,126217352,112357881,98376158,84467301,70911217,58198667,58198666,255670982,28453839,255388681,6941799,4362684,2614449,254330967,856281,254158463,853339,481945,481946,853342,855040,482897,271725,271722,481694,482146,482145,853697,859523,859524,1515996,2626017,2608182,2608183,4354312,4357777,2610846,2610845,4354332,2608205,1505336,853407,481982,271249,150373,82716,45270,45271,82723,150385,150796,272030,150851,150848,272125,483634,856277,1509774,2614424,4362658,4359317,2611977,2611976,4359314,6934488,6934487,10515357,15242579,21209055,28433133,36931876,36949897,28453460,21226400,15256401,10525485,6941748,4362631,2614409,1509767,856273,254158461,2614411,4362632,6941749,10525486,15256403,21226713,28453788,36954323,46832526,58198577,70911138,84467224,98376120,112357846,126217320,139591289,152319738,164202020,175016705,184616392,192998894,200189836,206261762,211282001,215384184,218774092,221636108,222392402,219629974,216359183,264278784,207591935,201744604,194797660,186680621,177360129,166809015,155114538,142470226,129093329,115162661,101086195,87089693,73471980,60723893,49321737,39393650,30790961,23364961,17095845,12009118,11823380,7901404,5022751,3040265,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376194,6965629,10561004,9265969,254928357,15278063,15278064,15265073,10532715,6946234,4365071,2615700,2615701,254495039,4375909,2621149,254331635,6965133,10517555,6936043,4358486,2611402,2611399,4358474,2619925,2619931,2231117,2231118,3726416,3797630,3797629,6069646,6062623,6062624,9256908,13525847,13327611,9106331,5958537,5958536,9106327,8108065,5195862,3170199,1855988,1059283,1059284,1855991,3170204,5195872,8110018,12061665,10568680,6970923,6970921,6974723,6974724,10574091,15310617,20141368,14447243,9939093,9939094,12401634,12401633,14447329,9939176,254472437,4093259,6532625,9939165,13502786,17849567,24219830,255665974,50452735,61944217,74738781,70783789,58066447,46694013,36810685,36810686,46694014,38122283,29556897,22211850,16080811,16080810,22211848,29556896,38122281,30684491,23267522,23267521,30684488,28314110,21103779,254794208,6891291,6891292,10454293,15159089,21103786,17535669,12367990,8357232,5394201,3316984,254270965,1114906,254106013 Dl.O(d2) = 74608060,70933755,70933757,258024234,60487614,49084266,39154334,30556760,30556758,39154331,256347792,46848532,46848527,46848528,39154441,30556859,23139447,16879166,11809081,7887978,5009736,3029196,3029197,5009741,7887984,11809089,16879189,23139466,30556878,39154468,49084359,60487662,51940482,41636677,32729554,25041647,18507019,13148826,8961979,8961980,13148829,18507028,25041655,32191370,32191371,28471167,21250625,15285151,15285150,13376467,13376468,16879161,16879160,23139431,30556838,30556771,30556769,33097627,33097626,36969684,32912358,32912357,41839101,49084339,46848549,36969702,28471202,23139416,16879155,16879137,16879138,16879186,16879185,18176807,24631003,32227075,39154453,30556867,23139454,23139452,30556863,39154446,44449458,35074670,35074671,32912391,25199846,18637159,13250970,13250969,18637156,25199839,32912385,28913563,24158948,17791626,12592811,8543958,5541878,5541875,8543948,12592793,17791599,24158911,31668345,40362855,41017908,39103053,30506498,23091770,23091768,30506492,39103044,49032496,60436530,73183573,86795984,100776666,114828524,128728240,142086743,154725351,166435850,175016725,164202045,152319777,139591327,126217352,112357881,98376158,84467301,70911217,58198667,58198666,255670982,28453839,255388681,6941799,4362684,2614449,254330967,856281,254158463,853339,481945,481946,853342,855040,482897,271725,271722,481694,482146,482145,853697,859523,859524,1515996,2626017,2608182,2608183,4354312,4357777,2610846,2610845,4354332,2608205,1505336,853407,481982,271249,150373,82716,45270,45271,82723,150385,150796,272030,150851,150848,272125,483634,856277,1509774,2614424,4362658,4359317,2611977,2611976,4359314,6934488,6934487,10515357,15242579,21209055,28433133,36931876,36949897,28453460,21226400,15256401,10525485,6941748,4362631,2614409,1509767,856273,254158461,2614411,4362632,6941749,10525486,15256403,21226713,28453788,36954323,46832526,58198577,70911138,84467224,98376120,112357846,126217320,139591289,152319738,164202020,175016705,184616392,192998894,200189836,206261762,211282001,215384184,218774092,221636108,222392402,219629974,216359183,264278784,207591935,201744604,194797660,186680621,177360129,166809015,155114538,142470226,129093329,115162661,101086195,87089693,73471980,60723893,49321737,39393650,30790961,23364961,17095845,12009118,11823380,7901404,5022751,3040265,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376194,6965629,10561004,9265969,254928357,15278063,15278064,15265073,10532715,6946234,4365071,2615700,2615701,254495039,4375909,2621149,254331635,6965133,10517555,6936043,4358486,2611402,2611399,4358474,2619925,2619931,2231117,2231118,3726416,3797630,3797629,6069646,6062623,6062624,9256908,13525847,13327611,9106331,5958537,5958536,9106327,8108065,5195862,3170199,1855988,1059283,1059284,1855991,3170204,5195872,8110018,12061665,10568680,6970923,6970921,6974723,6974724,10574091,15310617,20141368,14447243,9939093,9939094,12401634,12401633,14447329,9939176,254472437,4093259,6532625,9939165,13502786,17849567,24219830,255665974,50452735,61944217,74738781,70783789,58066447,46694013,36810685,36810686,46694014,38122283,29556897,22211850,16080811,16080810,22211848,29556896,38122281,30684491,23267522,23267521,30684488,28314110,21103779,254794208,6891291,6891292,10454293,15159089,21103786,17535669,12367990,8357232,5394201,3316984,254270965,1114906,254106013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9366142, s2 = 11659265, dlinesl.size( ) = 2 s1 = 9366142, s2 = 11659265, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9366142, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 8077881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8077881, s2 = 14855402, int(edited[s2]) = 0 s1 = 8077881, s2 = 14855402, d1 = 13, d2 = 11 Dl.O(d1) = 11321024,7517333,7517332,4752972,2864513,1662564,945955,945953,1662560,2864506,4752965,2882062,2882061,4782820,7516513,7517651,7519748,5178658,5178659,7519105,7519031,4753486,4753485,7518329,7518331,4753920,4753919,3159698,3159697,4548167,2734040,1662644,945995,945993,1662635,1662996,946181,946179,254239539,4754085,7218519,254780183,2864659,2864661,4753193,7518663,11322380,16281186,22450427,29818040,37695372,29134572,22447924,22447923,21827295,21827296,29134438,37695272,34611288,26622374,255462188,30444275,256456921,256889148,32818345,256421274,13191851,17468046,12315277,12315276,17468044,17256970,12136915,8166919,5236683,4330867,2591231,2591230,4330865,6898931,10466168,15175500,21123730,16902724,16902723,22348300,16198250,16198249,22348298,22379319,22348263,16198220,11260084,11260085,7486022,4730749,4730750,7369290,7475078,4724163,4724162,7475076,11260019,11826574,7903662,5024071,5024070,7475052,11259979,11111166,7369263,7369264,11111168,16004704,11829156,11829155,16903245,23160965,16899602,16899601,16902706,16902705,268422957,22339547,22339546,16899339,16899338,23160644,23165186,22117899,16004702,16004701,11828842,7905179,7905180,11828848,16902710,23160616,29702654,29728519,28528902,255904878,38268625,38268626,48178173,59564646,58269919,46904417,46904416,256376335,22377531,22377530,22348412,16216792,11273304,254531667,4729281,7483498,11273308,16216797,22371666,29728417,38295295,39037611,30448186,23040323,16795447,11743528,7840656,254808327,16795445,23040319,29764761,268226465,11290643,7496255,4738616,4738617,2855961,2855962,4738733,7496431,11290660,16240316,16239874,11290298,7495984,7495985,11290302,16239878,22401692,16240519,11290995,11025851,11025852,15904461,16902507,16902508,22402253,16240339,11290912,254532709,2855967,2855968,254532711,4738719,4738720,7496416,11290877,11291175,7496649,7496650,11290841,7905029,7496498,7496497,4738783,254532713,7496515,7496516,4738781,2855989,254167307,531899,531900,254355897,268087089,22402851,254366024,11609158,11609159,16641340,22869215,30265738,28740503,21482922,15992685,11102142,11102140,14092937,19652709,19649911,18338457,18338456,17025332,11940297,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,16577432,16577433,21104656,23179079,28315000,24831916,18743154,18743155,23389182,23179329,16914469,16663917,16663916,18330283,15786544,15786545,21858716,28314578,24190163,17821357,17821360,16553931,14094419,14094418,267982326,254786892,24984997,24984998,23181392,21240102,254547966 Dl.O(d2) = 5395547,3317840,1951881,1951880,3317838,3317887,3317888,3318015,1951963,1951960,3318001,5395841,8359777,8369279,5401394,5401395,8369281,12383618,12388598,12388599,17559460,18958517,13522275,9253851,9253850,8366256,8366255,12380985,12370278,12370282,15305704,12666708,12666710,12407096,8385363,8385362,12407102,17579067,17413164,17413163,23737993,21266876,15305213,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543220,7679642,7679641,254828484,17378691,21561400,21561401,16651844,16651845,255537322,19834539,14208875,255315597,17396776,12259740,8279554,5341993,5341994,5342739,5343249,5341450,3283078,1930857,1930859,1103171,1103169,1931003,1103486,1103482,1931690,254589257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077881, s2 = 14855402, dlinesl.size( ) = 2 s1 = 8077881, s2 = 14855402, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8077881, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 10140491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 411834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 411931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 411931, s2 = 5726523, int(edited[s2]) = 0 s1 = 411931, s2 = 5726523, d1 = 1, d2 = 70 Dl.O(d1) = 10561810 Dl.O(d2) = 232749053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 411931, s2 = 5726523, dlinesl.size( ) = 2 s1 = 411931, s2 = 5726523, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 411931, Dl.E( ) = 132, 4.22e-05 seconds used appending s1 = 278586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8041063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8041063, s2 = 11035358, int(edited[s2]) = 0 s1 = 8041063, s2 = 11035358, d1 = 17, d2 = 3 Dl.O(d1) = 2691882,1559450,1559451,2527438,2527437,4226932,4481614,2692722,1559994,886922,500432,500431,886920,1559993,2691761,1559380,1559379,2691760,3005284,3005285,2874324,1668422,1668423,2874326,4542553,2730697,2730696,1745106,1745107,3004780,4476490,4476489,3004801,1745127,992288,254070938,254070936,559466,254079586,1747364,3005001,2890607,1677821,1677822,2890608,1984232,254085236,2873033,2721522,1577043,896613,505808,505809,896615,1577048,2721539,4527434,7186392,4766027,4766026,7267345,4583030,2874625,2692035,2692036,4480449,7116088,4583043,2757375,1598499,1598500,1677713,1677714,2890522,4795194,4743215,2858551,1659005,943969,532428,532429,943970,1659008,2858557,4743225,7503850,11302418,11298294,7501176,254188164,15855576,10989635,7274863,4587889,4587888,7274860,7534352,7534350,11337821,15562379,10907092,7916260,5032665,5032663,4741628,2857626,2857628,4741630,267751946,5032571,7916146,11844543,254344880,15855439,254232216,16923964,11844777,7916391,5032786,3046879,1774729,254129081,570250,1011689,1774717,3046862,4598448,3046629,1774521,1011559,570173,570175,1011570,1774539,3004480,3004482,4974218,4587818,4587819,7115946,7115947,7147688,4501077,4501076,7147706,10815596,7265887,7265888,7116018,4480408,2692002,1559545,1559544,2691996,4480395,7109226,4476114,2689185,2689183,4476108,7109219,7109108,4475967,2689043,2689045,2692735,2692734,4481627,7117969,10772799,7274755,7274756,7274941,4587946,4587948,5026247,7907218,7916061,7916060,254532548,21823805,15756725,15756726,21498336,19809360,19809363,20066378,20066381,22156963,22093971,22093968,22091984,22091983,29422671,37985117,29423435,29423434,22093977,22093976,21776670,21776671,29074675,29080107,21782191,21782192,22091739,29422392,37984934,31354715,23861064,23861065,31354718,31354720,39432425,30828331,30828330,38144034,41141517,44407135,35032132,26951736,26951737,35032133,38058610,29495474,22156506,16035624,11134148,11134147,16035622,22129090,21778263,15719194,10882396,10882395,15719192,21778258,22091119,17943158,17943156,24331561,20048761,14363005,9899520,9899519,8639060,8639056,12714648,17943217,24331810,29422258,26953321,20068967,14385297,9890907,254341140,4072563,4072580,4072581,254971780,21665435,15629762,10815992,10815991,10760010,254228144,21664580,21664994,15629247,15629246,15628949,10815178,7147350,4500784,4500783,7147348,10815175,10815989,10815988,7915686,7915685,7915777,5032264,5032265,7915783,11337879,7534413,4766115,4766116,7534415,11337882,16295600,16924184,16924183,15890406,11015714,7292409,4598669,2766598,1603795,911998,514534,514535,911999,1603798,2766604,4598556,4598555,5233129,8163236,7295157,254122794,2768099,1604841,912681,912680,1604839,2768097,4600727,4599725,4599723,3193655,1869355,1066391,912921,912922,1605254,1604173,1604172,2767106,1604109,1604110,2767113,4599385,7292551,4598761,4598762,2768054,2768056,1605135,1605134,1605212,912960,912959,1605325,2768848,254242162,7537629,7828894,7180152,4768402,2882226,1672403,951420,951423,1056844,1851841,3163443,5185241,8093500,5426520,5426518,8409318,11386813,15336378,10592377,6987569,6987567,10592371,6987595,4390865,4390867,6987603,10592437,15336466,21305874,16466691,11473193,11473191,15336310,10592337,6987544,4390838,2630807,2630805,4390812,4390901,6987494,10592256,10592274,15336214,21305550,21539029,15523317,10736192,7626966,7626965,9114099,13339586,11386144,7564517,4783144,4783143,5185222,5185224,8093468,11387088,16362897,16362526,11386840,7564972,7564970,11386833,12317175,12317174,17470755,21305847,15336445,10592422,10592421,15336439,21305834,28527934,22660684,16466672,11473186,11473184,16466663,21305792,15336641,15336289,15336290,10592535,6987659,6987660,10592542,15336596,10735923,7093334,7093333,10735916,15523088,21538707,15523304,15523303,21539008,28805798,22535349,16361480,11386406,11386405,15523540,10736188,10736187,15523535,21539366,16362544,11386850,7564975,7564978,7565028,11386948,15336221,15336222,21305561,22536853,22536850,28805650,28805649,28805661,28805567,21538751,15523118,10735934,10735935,15523125,21538758,22670103,21538772,21305985,15523189,10735968,7093355,7093357,10735975,15523196,21538863,255106788,37397769,37397770,47307037,48350577,48350576,49057621,60461334,72470631,59734948,58645914,58055236,46681147,36795267,28298067,28298065,29535156,22191931 Dl.O(d2) = 37376292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8041063, s2 = 11035358, dlinesl.size( ) = 10 s1 = 1734572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9339192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13455071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13455071, s2 = 74019, int(edited[s2]) = 0 s1 = 13455071, s2 = 74019, d1 = 3, d2 = 1 Dl.O(d1) = 21329422,15357259,15357260,15357238,15357237,15357669,15357319,15357320,10610289,10610288,15357239,15357236,254730465,7000777,10609837,10609864,7000794,4399836,4399835,7000792,10609859,10610280 Dl.O(d2) = 487166,863276,1522665,2636728,4400010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13455071, s2 = 74019, dlinesl.size( ) = 2 s1 = 13455071, s2 = 74019, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13455071, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7840077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7840077, s2 = 8014869, int(edited[s2]) = 0 s1 = 7840077, s2 = 8014869, d1 = 18, d2 = 17 Dl.O(d1) = 1526019,1526020,2641448,4406320 Dl.O(d2) = 15370527,254732212,255400278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7840077, s2 = 8014869, dlinesl.size( ) = 8 s1 = 13213499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13213499, s2 = 4860079, int(edited[s2]) = 0 s1 = 13213499, s2 = 4860079, d1 = 36, d2 = 11 Dl.O(d1) = 2641545,1526091,1526090,2641543,4406445,7009404,255031429,21346058 Dl.O(d2) = 200266138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13213499, s2 = 4860079, dlinesl.size( ) = 2 s1 = 13213499, s2 = 4860079, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13213499, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 7866222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7866222, s2 = 14058921, int(edited[s2]) = 0 s1 = 7866222, s2 = 14058921, d1 = 78, d2 = 88 Dl.O(d1) = 255329264,12700883,17925422,19784133,14170816,9742012,6405931,4018927,4018928,6405935,5623374,5623376,8645957,5623322,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,10683721,7057681,7057682,10683762,15451912,21448911,17146385,12050491,8101643,5190576,3167004 Dl.O(d2) = 256404745,268225857,11277440,7486072,4730785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7866222, s2 = 14058921, dlinesl.size( ) = 42 s1 = 10143775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 418464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 284317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 284317, s2 = 14492469, int(edited[s2]) = 0 s1 = 284317, s2 = 14492469, d1 = 7, d2 = 7 Dl.O(d1) = 7059632,268208297,21456458 Dl.O(d2) = 7059632,268208297,21456458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 284317, s2 = 14492469, dlinesl.size( ) = 2 s1 = 284317, s2 = 14492469, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 284317, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 120259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345540, s2 = 7570708, int(edited[s2]) = 0 s1 = 10345540, s2 = 7570708, d1 = 27, d2 = 30 Dl.O(d1) = 256910478,41278171,41278170,51491005,50180165,49760342,49760340,39741619,39741618 Dl.O(d2) = 268208289,71265386,84839622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345540, s2 = 7570708, dlinesl.size( ) = 32 s1 = 10203219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13198825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13198825, s2 = 7828150, int(edited[s2]) = 0 s1 = 13198825, s2 = 7828150, d1 = 34, d2 = 38 Dl.O(d1) = 17747445,24106224,23392220,23392219,26390362,19656020,17124889,17124888,15478946,10703979,7071704,4452325,2674754,2674752,4452320 Dl.O(d2) = 10703968,15478928,21482346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13198825, s2 = 7828150, dlinesl.size( ) = 44 s1 = 14162470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162470, s2 = 13238126, int(edited[s2]) = 0 s1 = 14162470, s2 = 13238126, d1 = 6, d2 = 6 Dl.O(d1) = 254134779,254089341,189288,345136,344912,189151,103300,103301,189156,344920,345234,344972,189184,103313,103314,189192,343878,618794,1102619,1929843,1105949,1105950,1935703,1935726,1105631,1105629,1935718,3291567,2046675,2046676,3407638,3451149,2044584,1172200,657963,657960,1172190,1157843,1157844,1936496,1109292,622544,345991,345990,622536,1109271,1941924,3301788,5370810,3301715,3301714,1942022,1109328,622563,622565,254185223,254401509,5515746,254608219,5559613,254813245,5018223,3036054,3036052,5018219,3421853,2021095,2021094,3421851,3433980,2031161,1163261,663520,368062,368067,663535,1181371,2058838,3379968,2265179,1314045,1314046,2264969,1313896,749943,749944,1313900,2264978,2266801,2266800,2016348,2016347,2267382,2267384,3444436,2039289,1168614,655897,655896,1168609,2039276,3407561,2010245,2010247,3386917,3386919,5497105,8300594,5567183,3451170,2044594,1172202,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1767915,1172684,1172685,2045383,3452255,5568382,8572634,8218597,5288590,5288589,5536407,267914743,12299624,255559325,23778721,31264045,30866154,23437304,17162620,15284932,10550434,10550435,15284935,21250458,28471033,268246491,15293315,10558010,10546193,10546192,255390503,15309859,10573281,10573282,15264978,15288322,15288321,15295103,15273354,10540013,10540014,15264006,254724953,4364779,2617569,1511329,856986,483941,272279,150919,82979,45396,25195,25193,45393,82972,150900,272242,483861,856786,1510874,1513539,857966,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794894,6065247,9260487,13529938,18965356,25574062,33333616,42313987,268968964,77785073,77785076,77785075,91712926,105920372,105920373,120132413,113832039,99816878,85863591,72272073,59538288,48151741,38242717,29677986,22326863,16181155,11247330,7465915,4718037,2842368,1648836,1648835,2842366,4718033,7463527,4716511,2841485,1648344,937214,528116,528117,937216,1648348,2841490,4716519,4715327,2840667,2840668,4715330,7461918,11241932,7465443,4717693,2842125,1648685,1648686,2842128,4717699,7462352,7462353,11242433,16175049,16174703,11242131,11242130,268224885,11243699,11243217,11243215,268085843,7463612,4716586,2841547,2841520,1648370,1648369,2841518,4716546,7462926,254534452,22319282,22322185,29670485,29670484,29672042,29672041,29673176,28778250,22321865,22321866,16771730,11725661,7828010,4968835,3001148,267834935,3001624,1743141,990450,557083,557082,990448,1743138,3001621,4969635,7829252,11727395,16773865,16197955,11259852,7474955,7474952,11259855,10887839,7199816,4536018,4536020,7144053,7144055,7144590,7144588,10811840,7197126,4534272,2725625,1579296,1579294,2725619,4534255,4971739,7832332,9890006,11590983,11590981,11731690,16779228,16617302,14370312,9876227,9876228,14370314,14390479,14390478,20073288,16164707,11231890,9874486,9874487,14368328,255739909,14371754,14371756,15720151,14388255,9894017,6501810,4074108,2437721,2437722,4074109,6501812,9894023,7197129,7197130,9869376,9869260,6483170,4062529,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,2724597,1578793,897618,897621,1578802,2724224,1578766,897608,897609,1578769,2724547,2806842,4658881,254765387,11118488,7374523,4658942,4658941,5014687,7893913,10812073,10812074,15625834,255056919,10812939,7220845,4549530,4549532,6490036,6490037,6506934,9866103,254468739,4061234,6481012,9866101,14358465,20043382,26929009,35010743,44388195,55237888,67580045,81047930,95105353,109359510,262079855,173500976,183303490,177883608,167388970,155756440,143204088,129874393,115976676,260126137,87959281,74357029,61580239,50100337,40079633,31398690,23905970,17562163,12391215,8373772,5404269,5404268,8373770,10708780,10708779,15485976,21491756,28751267,37285580,255528528,31922935,33864552,42910101,48141298,38231067,38231066,48141296,59528411,258753811,99805533,258708930,113673076,99660419,93393248,257475456 Dl.O(d2) = 254134779,254089341,189288,345136,344912,189151,103300,103301,189156,344920,345234,344972,189184,103313,103314,189192,343878,618794,1102619,1929843,1105949,1105950,1935703,1935726,1105631,1105629,1935718,3291567,2046675,2046676,3407638,3451149,2044584,1172200,657963,657960,1172190,1157843,1157844,1936496,1109292,622544,345991,345990,622536,1109271,1941924,3301788,5370810,3301715,3301714,1942022,1109328,622563,622565,254185223,254401509,5515746,254608219,5559613,254813245,5018223,3036054,3036052,5018219,3421853,2021095,2021094,3421851,3433980,2031161,1163261,663520,368062,368067,663535,1181371,2058838,3379968,2265179,1314045,1314046,2264969,1313896,749943,749944,1313900,2264978,2266801,2266800,2016348,2016347,2267382,2267384,3444436,2039289,1168614,655897,655896,1168609,2039276,3407561,2010245,2010247,3386917,3386919,5497105,8300594,5567183,3451170,2044594,1172202,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1767915,1172684,1172685,2045383,3452255,5568382,8572634,8218597,5288590,5288589,5536407,267914743,12299624,255559325,23778721,31264045,30866154,23437304,17162620,15284932,10550434,10550435,15284935,21250458,28471033,268246491,15293315,10558010,10546193,10546192,255390503,15309859,10573281,10573282,15264978,15288322,15288321,15295103,15273354,10540013,10540014,15264006,254724953,4364779,2617569,1511329,856986,483941,272279,150919,82979,45396,25195,25193,45393,82972,150900,272242,483861,856786,1510874,1513539,857966,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794894,6065247,9260487,13529938,18965356,25574062,33333616,42313987,268968964,77785073,77785076,77785075,91712926,105920372,105920373,120132413,113832039,99816878,85863591,72272073,59538288,48151741,38242717,29677986,22326863,16181155,11247330,7465915,4718037,2842368,1648836,1648835,2842366,4718033,7463527,4716511,2841485,1648344,937214,528116,528117,937216,1648348,2841490,4716519,4715327,2840667,2840668,4715330,7461918,11241932,7465443,4717693,2842125,1648685,1648686,2842128,4717699,7462352,7462353,11242433,16175049,16174703,11242131,11242130,268224885,11243699,11243217,11243215,268085843,7463612,4716586,2841547,2841520,1648370,1648369,2841518,4716546,7462926,254534452,22319282,22322185,29670485,29670484,29672042,29672041,29673176,28778250,22321865,22321866,16771730,11725661,7828010,4968835,3001148,267834935,3001624,1743141,990450,557083,557082,990448,1743138,3001621,4969635,7829252,11727395,16773865,16197955,11259852,7474955,7474952,11259855,10887839,7199816,4536018,4536020,7144053,7144055,7144590,7144588,10811840,7197126,4534272,2725625,1579296,1579294,2725619,4534255,4971739,7832332,9890006,11590983,11590981,11731690,16779228,16617302,14370312,9876227,9876228,14370314,14390479,14390478,20073288,16164707,11231890,9874486,9874487,14368328,255739909,14371754,14371756,15720151,14388255,9894017,6501810,4074108,2437721,2437722,4074109,6501812,9894023,7197129,7197130,9869376,9869260,6483170,4062529,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,2724597,1578793,897618,897621,1578802,2724224,1578766,897608,897609,1578769,2724547,2806842,4658881,254765387,11118488,7374523,4658942,4658941,5014687,7893913,10812073,10812074,15625834,255056919,10812939,7220845,4549530,4549532,6490036,6490037,6506934,9866103,254468739,4061234,6481012,9866101,14358465,20043382,26929009,35010743,44388195,55237888,67580045,81047930,95105353,109359510,262079855,173500976,183303490,177883608,167388970,155756440,143204088,129874393,115976676,260126137,87959281,74357029,61580239,50100337,40079633,31398690,23905970,17562163,12391215,8373772,5404269,5404268,8373770,10708780,10708779,15485976,21491756,28751267,37285580,255528528,31922935,33864552,42910101,48141298,38231067,38231066,48141296,59528411,258753811,99805533,258708930,113673076,99660419,93393248,257475456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162470, s2 = 13238126, dlinesl.size( ) = 2 s1 = 14162470, s2 = 13238126, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162470, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 422322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 422322, s2 = 4142159, int(edited[s2]) = 0 s1 = 422322, s2 = 4142159, d1 = 5, d2 = 8 Dl.O(d1) = 10740875 Dl.O(d2) = 154824559,262298673,146693853,133444859,119578092,105344430,91123422,258381983,257178281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 422322, s2 = 4142159, dlinesl.size( ) = 14 s1 = 422556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6435482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8292721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 423513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 838544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7867932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7861743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 605921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 424422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14492651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14492651, s2 = 7848425, int(edited[s2]) = 0 s1 = 14492651, s2 = 7848425, d1 = 6, d2 = 6 Dl.O(d1) = 71474283,58744734,256882972,28911213,255416152,10795781,7132861,4490672,2697942,1656382,1656381,1091646,1091647,1911528,3254449,5303664,5249558,3254757,3254758,5303997,3260477,1915804,1915803,3248193,3248194,4489766,2697309,2697310,4489770,4609798,5296093,4609775,3242994,2774031,1609071,915487,516587,516584,915478,1609059,2774010,3223515,1895763,1895760,1897012,1082758,608119,338419,338420,608126,1082779,1897052,1922727,1922725,3202938,1891375,1875521,1875522,1881885,1881886,3212667,254835619,17235802,12118588,254577317,5221253,5224354,8153398,8153399,8258627,8257983,254841639,254839503,8232503,12201327,17326529,17360529,23007293,17300694,17300693,255998311,17306571,12484115,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8311065,10584663,12162570,12162569,17271434,16004864,11111303,7369371,5327734,5327735,8258231,11048184,11048183,8213698,5284548,5284547,8213715,12135897,8259037,5328397,3275238,3275240,5328404,5328282,3275173,1926428,1926429,2628104,2628105,3237558,3237557,1926421,1926422,3275155,5328261,6978386,6978387,4736470,2854444,2854445,4736472,7493189,8228375,8228374 Dl.O(d2) = 71474283,58744734,256882972,28911213,255416152,10795781,7132861,4490672,2697942,1656382,1656381,1091646,1091647,1911528,3254449,5303664,5249558,3254757,3254758,5303997,3260477,1915804,1915803,3248193,3248194,4489766,2697309,2697310,4489770,4609798,5296093,4609775,3242994,2774031,1609071,915487,516587,516584,915478,1609059,2774010,3223515,1895763,1895760,1897012,1082758,608119,338419,338420,608126,1082779,1897052,1922727,1922725,3202938,1891375,1875521,1875522,1881885,1881886,3212667,254835619,17235802,12118588,254577317,5221253,5224354,8153398,8153399,8258627,8257983,254841639,254839503,8232503,12201327,17326529,17360529,23007293,17300694,17300693,255998311,17306571,12484115,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8311065,10584663,12162570,12162569,17271434,16004864,11111303,7369371,5327734,5327735,8258231,11048184,11048183,8213698,5284548,5284547,8213715,12135897,8259037,5328397,3275238,3275240,5328404,5328282,3275173,1926428,1926429,2628104,2628105,3237558,3237557,1926421,1926422,3275155,5328261,6978386,6978387,4736470,2854444,2854445,4736472,7493189,8228375,8228374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14492651, s2 = 7848425, dlinesl.size( ) = 2 s1 = 14492651, s2 = 7848425, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14492651, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13305207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6482827, s2 = 9355023, int(edited[s2]) = 0 s1 = 6482827, s2 = 9355023, d1 = 16, d2 = 12 Dl.O(d1) = 255048765 Dl.O(d2) = 84864859,71290548,58558583,47169683,37263698,268921551,21474070,15471578,10698321,7067937,4450005,4450004,7067879,7067878,10698228,11304813,7505447,4744258,4744260,7505454,10698467,9243189,9243192,10697359,9941537,6534096,6534093,9941529,9263386,6067289,3796162,2273855,1318588,752244,427293,241186,133388,72616,39433,39432,72612,133373,241150,427199,752026,1317675,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404548,8374283,8404593,8106867,5194026,3169277,3169276,5192467,3168455,3168457,5192471,8104147,12053829,17150324,17150296,17150295,17158898,17000885,12305922,8311876,5363294,5363295,8311881,9272590,13511359,13511360,18948125,18943006,18943007,25556170,33318225,42298891,52685586,258796043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6482827, s2 = 9355023, dlinesl.size( ) = 2 s1 = 6482827, s2 = 9355023, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6482827, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 289186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6482908, s2 = 8194338, int(edited[s2]) = 0 s1 = 6482908, s2 = 8194338, d1 = 1, d2 = 1 Dl.O(d1) = 255049805,7167210,4514129,254508403,10841613,15661047,10841494,7167133,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,10840886,10840885,15660081,21700184,22011866,21700185,21699694,21699682,21699683,28982016,28982143,21701262,15660857,10841381,10841382,15660863,15660894,15660893,18557745,13186434,13186433,18557740,21699910,28982199,28982198,28984780,21701893,15661363,10841706,10841704,15661357,21700101,21700099,28982528,37526470,47434091,58820644,71548851,58820643,47435797,37528171,28984022,28984021,37528168,37529111,47433640,37526480,37526227,256516262,28982532,28982150,28982151,37385152,28845133,28845134,37385157,33778756,33778754,42811342,47433623,39296095,30698529,30698530,23282997,17023811,11938813,7990194,5085600,5085598,7990188,10840821,10840819,15659994,21699823,15659836,15659835,21699820,28982178,31263882,31263883,37526433,37526410,37526411,37525841,36992435,28494981,21277803,15315703,10578058,10578059,10840990,7166838,7166839,10840994,15660003,21700080,16246488,11295109,11295108,16246482,21700050,21700049,23758769,23758768,25968673,28494949,36992393,46871093,49223179,39296158,39296130,30698510,23282974,17023798,17023800,23282977,30698516,37526662,28982727,28982728,37526667,47434278,49955849,39938894,31263889,23778571,23778572,31263892,38395759,29823396,22456234,256411739,23758791,23758790,31242969,39918277,39918278,49936188,47434066,47434067,53624245,49936419,39918493,39918492,39918566,31243017,23758810,23758809,31243010,39918559,49936185,61414384,74193188,259497759,74193307,74193306,87796621,101768877,87796708,258251227,39918521,31242983,31242984,39918523,257642255,74193301,61414552,61414550,61414551,257015434,66929993,54673337,54673336,66929991,61414453,49936279,49936278,49955835,48065487,48065486,48600764,48600763,59992644,61414731,61414729,61414712,49936649,49936648,39938874,39938873,49955832,61433506,61414600,61414601,74021810,72388280,61414393,59085146,59085147,61506996,50028773,50028776,59085238,54673344,54673343,59085335,71552397,58824219,58824218,59653939,48267114,48267115,59653942,54673341,43931005,34657884,29783704,29783705,38356224,268923598,66944559,66944561,80356113,66930001,66930002,74193254,268964766,47433668,47433670,58820278,71548563,61414710,61414711,49955814,39938846,39938844,41731784,32811291,32811290,41731778,43930983,54673314,47685331,47685329,53460251,53460250,43930995,34657880,34657881,43930997,40256795,40256794,43931013,47959109,59349823,61414440,61414439,74193223,258692016,66929989,59653915,59653914,59653913,66929979,58820808,58820803,58820782,47434259,47434261,58820787,49100055,39169690,30571514,30571515,39169694,47852979,39938800,31263835,31263838,39938814,37763273,37763272,37763318,29298549,29298551,37867703,47792123,59192324,48647474,48647476,47434257,39743652,38002133,38002131,47917959,47959115,38045952,29482602,29482603,37526535,37526536,29201748,21889140,21889141,29201751,28985027,21702075,21702077,28985033,26678305,26678306,34671567,43945770,47685424,37763238,37763239,39467721,39467719,49396171,58820794,47434269,37526653,28982716,28982715,21889183,15812427,10957954,10957952,15812418,21889164,29201808,29783731,22418287,22418288,29783735,38356281,48204907,38295703,38295705,48204913,57722505,57722504,47760091,47760090,47685432,47685433,38313768,38313767,37933089,29366567,28985060,21702090,15661498,10841790,10841789,15661494,21702082,28985044,37529437,37529442,37529443,38295696,29728857,28449145,28049115,28049116,36513324,37529430,37975074,36513378,36513377,46372213,47255148,49767551,47685499,37763294,29201814,29201815,36513337,36513339,46372188,43915592,34642417,26651229,26651230,34642420,43915599,38894228,36513316,36513318,29271331,29271332,37837555,29783725,29783724,29366578,22035916,15934238,15934239,22035923,15994663,15994664,22105792,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950570,30352290,23587677,23587680,31071187,32955794,31263864,23778557,23778558,28985421,28985418,37529839,36513363,36513329,28049120,28049119,22081143,15975432,11089963,7354893,4646063,4646062,7354891,7483745,11273646,16217222,22372150,22636304,22636303,256424057,48490535,59882063,58344198,58344199,50162997,40328434,37091951,37091950,46974959,37092001,37092000,46975020,44581113,44581112,55427958,44581071,35202961,27112993,27112994,35202963,44581075,46613312,46613311,57989480,47198817,37290856,37290855,47198939,58590061,58344147,58344146,46975026,37092006,37092005,46975023,58344144,71060333 Dl.O(d2) = 255049805,7167210,4514129,254508403,10841613,15661047,10841494,7167133,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,10840886,10840885,15660081,21700184,22011866,21700185,21699694,21699682,21699683,28982016,28982143,21701262,15660857,10841381,10841382,15660863,15660894,15660893,18557745,13186434,13186433,18557740,21699910,28982199,28982198,28984780,21701893,15661363,10841706,10841704,15661357,21700101,21700099,28982528,37526470,47434091,58820644,71548851,58820643,47435797,37528171,28984022,28984021,37528168,37529111,47433640,37526480,37526227,256516262,28982532,28982150,28982151,37385152,28845133,28845134,37385157,33778756,33778754,42811342,47433623,39296095,30698529,30698530,23282997,17023811,11938813,7990194,5085600,5085598,7990188,10840821,10840819,15659994,21699823,15659836,15659835,21699820,28982178,31263882,31263883,37526433,37526410,37526411,37525841,36992435,28494981,21277803,15315703,10578058,10578059,10840990,7166838,7166839,10840994,15660003,21700080,16246488,11295109,11295108,16246482,21700050,21700049,23758769,23758768,25968673,28494949,36992393,46871093,49223179,39296158,39296130,30698510,23282974,17023798,17023800,23282977,30698516,37526662,28982727,28982728,37526667,47434278,49955849,39938894,31263889,23778571,23778572,31263892,38395759,29823396,22456234,256411739,23758791,23758790,31242969,39918277,39918278,49936188,47434066,47434067,53624245,49936419,39918493,39918492,39918566,31243017,23758810,23758809,31243010,39918559,49936185,61414384,74193188,259497759,74193307,74193306,87796621,101768877,87796708,258251227,39918521,31242983,31242984,39918523,257642255,74193301,61414552,61414550,61414551,257015434,66929993,54673337,54673336,66929991,61414453,49936279,49936278,49955835,48065487,48065486,48600764,48600763,59992644,61414731,61414729,61414712,49936649,49936648,39938874,39938873,49955832,61433506,61414600,61414601,74021810,72388280,61414393,59085146,59085147,61506996,50028773,50028776,59085238,54673344,54673343,59085335,71552397,58824219,58824218,59653939,48267114,48267115,59653942,54673341,43931005,34657884,29783704,29783705,38356224,268923598,66944559,66944561,80356113,66930001,66930002,74193254,268964766,47433668,47433670,58820278,71548563,61414710,61414711,49955814,39938846,39938844,41731784,32811291,32811290,41731778,43930983,54673314,47685331,47685329,53460251,53460250,43930995,34657880,34657881,43930997,40256795,40256794,43931013,47959109,59349823,61414440,61414439,74193223,258692016,66929989,59653915,59653914,59653913,66929979,58820808,58820803,58820782,47434259,47434261,58820787,49100055,39169690,30571514,30571515,39169694,47852979,39938800,31263835,31263838,39938814,37763273,37763272,37763318,29298549,29298551,37867703,47792123,59192324,48647474,48647476,47434257,39743652,38002133,38002131,47917959,47959115,38045952,29482602,29482603,37526535,37526536,29201748,21889140,21889141,29201751,28985027,21702075,21702077,28985033,26678305,26678306,34671567,43945770,47685424,37763238,37763239,39467721,39467719,49396171,58820794,47434269,37526653,28982716,28982715,21889183,15812427,10957954,10957952,15812418,21889164,29201808,29783731,22418287,22418288,29783735,38356281,48204907,38295703,38295705,48204913,57722505,57722504,47760091,47760090,47685432,47685433,38313768,38313767,37933089,29366567,28985060,21702090,15661498,10841790,10841789,15661494,21702082,28985044,37529437,37529442,37529443,38295696,29728857,28449145,28049115,28049116,36513324,37529430,37975074,36513378,36513377,46372213,47255148,49767551,47685499,37763294,29201814,29201815,36513337,36513339,46372188,43915592,34642417,26651229,26651230,34642420,43915599,38894228,36513316,36513318,29271331,29271332,37837555,29783725,29783724,29366578,22035916,15934238,15934239,22035923,15994663,15994664,22105792,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950570,30352290,23587677,23587680,31071187,32955794,31263864,23778557,23778558,28985421,28985418,37529839,36513363,36513329,28049120,28049119,22081143,15975432,11089963,7354893,4646063,4646062,7354891,7483745,11273646,16217222,22372150,22636304,22636303,256424057,48490535,59882063,58344198,58344199,50162997,40328434,37091951,37091950,46974959,37092001,37092000,46975020,44581113,44581112,55427958,44581071,35202961,27112993,27112994,35202963,44581075,46613312,46613311,57989480,47198817,37290856,37290855,47198939,58590061,58344147,58344146,46975026,37092006,37092005,46975023,58344144,71060333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6482908, s2 = 8194338, dlinesl.size( ) = 2 s1 = 6482908, s2 = 8194338, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6482908, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13442669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8047290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8047290, s2 = 14163143, int(edited[s2]) = 0 s1 = 8047290, s2 = 14163143, d1 = 61, d2 = 11 Dl.O(d1) = 21706585,15664797,10843921,10843920,15664794,21706581,21074553,21074554,18559926,18559925,25109270,32811912,32313733,32313732,41126842,50119631,40099209,31419222,31419221,40099207,46795151 Dl.O(d2) = 21194138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8047290, s2 = 14163143, dlinesl.size( ) = 8 s1 = 426925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 844711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15172783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15172783, s2 = 13269834, int(edited[s2]) = 0 s1 = 15172783, s2 = 13269834, d1 = 1, d2 = 1 Dl.O(d1) = 183476418,192028435,199385457,199385459,199385461,205610133,210759076,265144345,221330463,218424300,218424301,221330458,218424298,218424299,221330460,223820065,225978303,225978301,225978300,227861142,229500989,227846014,225961847,223802074,221310263,218401431,214939497,210731287,205580022,199351681,199351682,199351683,191989358,183430744,173640028,173640027,173640026,173640025,162613998,150489924,150489923,162613996,168191488,272643287,131040410,117242501,103126524,103126523,103126526,89055875,75326872,62427110,50843347,40737455,31988558,24433394,18020044,18020043,24433393,24433396,18020045,12772057,8681444,5649072,5649071,5649074,5649073,7584117,11412504,11447836,7744971,7744970,11626805,12772078,18020060,24433405,31988570,40737463,50843359,50843357,257701787,50843356,50843355,62427117,62427116,50843354,257701785,64380938,52507429,42149807,33190991,25445758,18848692,13429341,9181705,6009559,3758707,2251620,254299347,6009558,9181704,13429338,18848688,25445753,33190186,33190187,38024717,29462647,22127955,20165213,20165212,255748910,31494759,29004982,21719115,15675143,10851749,10851748,15675137,21719104,29004973,35148380,42396462,52509392,62217536,50697350,40638130,40638131,50697352,57824383,256652690,47238547,47238548,50040907,40021201,31341718,23848700,17506525,17506524,23848698,31341714,36614974,36614973,46481303,57837300,256749972,77549030,64380957,52507447,42149821,33190998,33190999,42149823,52507450,64380962,64380961 Dl.O(d2) = 183476418,192028435,199385457,199385459,199385461,205610133,210759076,265144345,221330463,218424300,218424301,221330458,218424298,218424299,221330460,223820065,225978303,225978301,225978300,227861142,229500989,227846014,225961847,223802074,221310263,218401431,214939497,210731287,205580022,199351681,199351682,199351683,191989358,183430744,173640028,173640027,173640026,173640025,162613998,150489924,150489923,162613996,168191488,272643287,131040410,117242501,103126524,103126523,103126526,89055875,75326872,62427110,50843347,40737455,31988558,24433394,18020044,18020043,24433393,24433396,18020045,12772057,8681444,5649072,5649071,5649074,5649073,7584117,11412504,11447836,7744971,7744970,11626805,12772078,18020060,24433405,31988570,40737463,50843359,50843357,257701787,50843356,50843355,62427117,62427116,50843354,257701785,64380938,52507429,42149807,33190991,25445758,18848692,13429341,9181705,6009559,3758707,2251620,254299347,6009558,9181704,13429338,18848688,25445753,33190186,33190187,38024717,29462647,22127955,20165213,20165212,255748910,31494759,29004982,21719115,15675143,10851749,10851748,15675137,21719104,29004973,35148380,42396462,52509392,62217536,50697350,40638130,40638131,50697352,57824383,256652690,47238547,47238548,50040907,40021201,31341718,23848700,17506525,17506524,23848698,31341714,36614974,36614973,46481303,57837300,256749972,77549030,64380957,52507447,42149821,33190998,33190999,42149823,52507450,64380962,64380961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15172783, s2 = 13269834, dlinesl.size( ) = 2 s1 = 15172783, s2 = 13269834, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15172783, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13244161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8136876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7991751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9336451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6420226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6420226, s2 = 4995168, int(edited[s2]) = 0 s1 = 6420226, s2 = 4995168, d1 = 79, d2 = 86 Dl.O(d1) = 254113060,18563844,13191648,8992806,5871214,5871215,8992808,13191657,18563859,25114204,30753066,23330621,21833020,254536006 Dl.O(d2) = 211841256,206908092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6420226, s2 = 4995168, dlinesl.size( ) = 28 s1 = 13260501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7857034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7971524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162690, s2 = 13346456, int(edited[s2]) = 0 s1 = 14162690, s2 = 13346456, d1 = 34, d2 = 20 Dl.O(d1) = 59369278,47979194,256230940,29504169,38067282,47979196,59369282,72101800,81266833,67798994,67798993,81266836,93461008,79330523,65967375,65967374,79330519,93461006,257214230,256141640,43377267,43377268,53901101,65967367,65967365,65967366,79330512,93460996,270003854,119713750,119713749,109581591,95326306,81266850,67799010,55457329,55457330,55457419,67799093,257322578,102471644,257921784,62038774,50546944,40511228,31815108,31815109,40511229,50546947,55457420,55457300,55457299,67798990,64690611,64690612,268147994,50546933,55457284,55457285,268751948,31815103,24299489,17916622,12693833,8623398,8623399,12693834,17916625,256049803,29753275,29753276,38322820,47903119,37987404,29425925,22095172,15987021,11098315,9757879,6416040,6416037,4025334,2412227,2412226,4025332,6416142,9758079,14194779,15421152,10660448,10660447,15421151,21409604,256141832,35081015,35081016,44455924,40893742,36572827,28101435,28101437,29953912,254302628,25701410,31596825,24093287,24093285,31596823,33699363,39406832,30802208,30802206,38322797,29753253,28953760,28953762,29322215,34002881,40514429,34003572,34003573,37886813,34003270,26161629,19461587,13927583,9559454,6272498,6272497,9559464,13546154,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926843,3926818,3926819,6271667,254936276,6267245,6267246,9551467,13916349,19447111,26144410,33984275,43041751,53520163,257301438,92991010,107401313,259779110,115757119,115757118,129655244,142984042,134847658,121047754,106792082,106792083,121047755,259690028,128163274,141521357,147969308,134847665,134847664,143478097,130148737,116239292,102178477,88187420,74571955,61787402,50306830,40285509,31600569,31600568,40285507,50306826,61787353,74571911,74571912,65987938,257433682,34294396,26418187,19681677,14110004,9706119,6384513,6384512,9706115,14109997,19681668,26418172,34294376,43394200,47330076,58718564,53532717,256693653,26152304,26152303,33993882,43052787,43394222,34294392,34294391,43052810,33993900,26152313,26136703,26136700,26136701,33975535,36802967,28306232,21096879,15154002,15154003,15733769,10896995,10896994,15733766,21792232,22130783,22130784,23308775,17047291,11959249,8005788,5096630,254566055,11959244,17047283,23308764,30726483,39324247,49250671,60651133,73397572,78403251,72067713,59333333,47941552,38027805,29465652,29465653,38027806,47941555,59333338,72067722,85655129,99605133,86058098,86058097,100021354,114048761,115077732,115077733,116662212,116662244,257533426,102563646,88557451,74919238,62115435,50616096,50616097,257533474,74919255,73397600,60651158,50616107,40573775,31870565,270504924,62115453,72416806,86013165,99972588,259391460,258766414,85655136,85655137,99605130,85655126,85655125,99605127,100833534,100833535,111703719,97781594,83923080,83923081,97781596,111703721,115077765,101006725,87013213,73397648,73397649,73397621,60651174,49250692,39324264,257022725,60651168,270356397,77736932,91664766,87945056,87945057,99343800,113346751,99605118,85655117,72067715,72067714,85655116,99605116 Dl.O(d2) = 38303512,29735582,22377821,16221662,16221663,22377823,29735586,29851446,29851444,34750430,255574094,40150093,50175488,255183430,254858434,38304034,29736049,22378177,22378176,16458389,16458388,22649612,24530980,32107448,36730934,46618948,44356716,44356715,55207209,46618938,36730920,36730919,36991784,28494342,28494341,36991792,46870543,58238233,70955219,60347216,268074166,46870566,256339802,59601792,48214506,44394431,44356713,44356714,50436635,255739446,31710384,26937243,20051406,20051405,26937241,29764505,268234654,20017553,14336671,9848901,6468728,4053235,4053234,6468719,9848882,14336635,20017492,22335124,16187686,11252194,11252195,15838665,15838664,16014231,12092231,12092232,10487109,10487111,15204217,15719192,21778258,22091119,17943158,17943156,24331561,20048761,14363005,9899520,9899519,8639060,8639058,12714563,17943051,24331579,18343647,18343644,24838121,26937583,35018715,44394598,49797801,46400824,36539806,36539805,256001304,15091750,15091749,21012736,21480428,15477306,10702920,7071048,7071049,10702921,15477307,255838861,37270506,46721223,39290210,30692962,23278097,23278096,30692960,30692965,30692967,37535544,36838374,28341572,21129364,21129365,28341574,36838378,46721228,46721220,255801492,28990573,256345179,28954570,30290095,38875973,48798298,60195085,58093379,46721214,46721213,43954297,43954296,37094164,37094165,46977493,46977495,37497248,28954604,21673941,15636110,15636109,21673940,28954603,26334277,24202025,24202026,17901317,12681133,12681134,12681151,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410862,9410859,13736831,10709560,7075253,4454397,4454398,7075241,7075178,4454483,4454484,4454558,2675997,2675995,4454569,7075563,10710085,13736792,19228960,24156285,17789239,12590935,12590933,17789238,23779764,17449732,12300684,12300683,17449731,17500877,12340102,12340100,17500861,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5570264,5570265,8574386,12628917,17716603,17716605,16885944,12588620,8540733,8540736,12588632,12543717,8503131,8503128,12543697,12543695,17729854,17729982,17729981,17780845,19700787,16889331,16889327,17824664,17704736,17704737,12612020,12612022,16580225,11560480,7693422,4868634,4868633,7693415,11560465,16580202,17708954,17806555,17806556,17387678,17387677,23711190,31199437,24198074,17828805,15486818,10709360,7075131,4454340,4454339,7075129,10709355,10710119,10710120,15487902,21493990,24103706,31604558,24101549,17743009,12554256,12554255,17743005,24101542,28752537,31663750,24153083,17785842,12588330,8540552,8540551,12588324,12588275,12588274,10710171,7075606,7075605,8259579,8259580,12231815,17361613,12232248,12232250,16888790,13496491,13496489,12608733,8557597,5554514,5554518,8557612,12608765,12601216,8551378,5549423,5549424,8551380,12601218,17801375,24168893,23765795,17437878,12291609,12291611,12628708,12628707,17787781,24154931,21493619,16004209,11110800,7369019,4655234,2804469,2804470,4655236,7369024,6165767,3858102,3858103,6165771,9410760,13736681,17462373,12310659,12310611,12310610,12236986,8262884,8262885,12236991,12590446,12590445,10709845,9410849,9410848,8297042,6869497,6869494,10420417,10420468,15108087,12232713,12232712,254609242,6166423,254190326,12589746,8541415,8541418,12589760,12539082,12539080,17422874,17422124,17422126,17726848,12590629,8542163,8542160,12590619,17728668,17728665,17746457,12556801,8513341,5512034,5512032,8513336,254418174,24104948,26006697,254607412,29564958,29564956,26638676,26638675,25887480,19227566,19227565,22796662,16579883,16579884,13734823,12543595,12543594,17729698,13497074,9234092,6047790,6047789,9234059,13497026,18932429,25545302,31602676,24098306,24098307,24080765,17723591,12539291,8500526,5502191,5502189,8500518,10709886,15487574,12614375,12614374,10709891,10709894,7075551,4454566,4454565,7075546,10710050,12588275,12588274,10710171,7075606,7075605,8259579,8259580,12231815,17361613,12232248,12232250,16888790,13496491,13496489,12608733,8557597,5554514,5554518,8557614,8262952,8262957,12237075,17369162,13496647,13496645,15487481,15487483,12612639,8561087,8561089,12612646,17789070,17789069,24140905,18918108,18918107,23779572,17449554,13486818,13486816,13486826,13486827,13486834,11147615,7393818,7393813,11147601,7393938,4671154,4671155,7393942,4671681,4671685,7394895,11149272,12047695,17142483,17142549,15538891,15538887,17142555,22797377,17328234,12203257,12203255,12340111,12340109,17500862,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339252,8274907,254414242,12575959,12575958,17708954,17806555,17806556,17387678,17387677,23711188,24100437,24100436,17830244,17830246,22181050,16054759,11147531,8512539,5511619,5511618,8512530,12555420,17744625,24103219,18863582,13440632,9190151,9190152,13440636,18863584,25234150,25234151,31592259,31589044,26650577,23149493,17816785,12614339,12614338,17816781,23767851,17830768,17830767,22322354,22322355,29673593,22833145,17727641,12542143,8502260,5503282,5503284,8502264,12542152,17727652,17722754,15487645,15486858,15486857,21492859,24114790,18680296,17462324,15487918,15487917,17744307,24102920,31250319,24193516,19826667,267746094,12232985,12232986,11586809,7712492,7712493,11586810,12231707,8259325,5328588,5328590,8259293,8259291,12231662,17361441,17362427,12232407,8259775,8259776,12232409,17362430,13496977,9234020,6047722,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,5350311,8293192,8533935,8533936,12565464,8520517,8520518,12565466,17757518,24097323,23740494,17416249,17416250,254250566,23747876,17422452,12279792,12279790,16054783,16054784,12601148,12601149,17801286,15133456,15133455,21068303,28271112,30838166,30838170,30838363,25056113,18518236,13157375,8968119,8968118,13157372,18518227,25056094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162690, s2 = 13346456, dlinesl.size( ) = 20 s1 = 6604355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 430910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 430910, s2 = 14506681, int(edited[s2]) = 0 s1 = 430910, s2 = 14506681, d1 = 3, d2 = 15 Dl.O(d1) = 10945741 Dl.O(d2) = 37740592,47662484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 430910, s2 = 14506681, dlinesl.size( ) = 2 s1 = 430910, s2 = 14506681, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 430910, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 13359421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6508777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6508777, s2 = 2134465, int(edited[s2]) = 0 s1 = 6508777, s2 = 2134465, d1 = 28, d2 = 26 Dl.O(d1) = 255376879,18681350,13288515,9071408,5931996,5931997,5932652,4290830,2565619,2565623,2565724,1477421,1477423,2565781,4291518,6748144,6748146,7083708,7083709,10722074,10986914,7272753,7272754,10986916,15852640,21940965,21561969,15540745,15540746,254436982 Dl.O(d2) = 254696962,58192659,49160758,39234133,30636237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6508777, s2 = 2134465, dlinesl.size( ) = 2 s1 = 6508777, s2 = 2134465, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6508777, Dl.E( ) = 76, 3.41e-05 seconds used appending s1 = 6655257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6655257, s2 = 8941637, int(edited[s2]) = 0 s1 = 6655257, s2 = 8941637, d1 = 17, d2 = 29 Dl.O(d1) = 33657507,269099391,85514660,256993950,11001432 Dl.O(d2) = 274752647,266803477,236778918,274752648,266436482,230104581,266009540,233924388,266674691,238929434,266860799,240590040,267008709,241913136,267162571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6655257, s2 = 8941637, dlinesl.size( ) = 24 s1 = 294698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13243369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13243369, s2 = 218398, int(edited[s2]) = 0 s1 = 13243369, s2 = 218398, d1 = 30, d2 = 17 Dl.O(d1) = 1918730,1918731,3218992,1886210,1076153,604505,604506,1076155,610626,339693,186469,101911,254080081,339684,610616,612641,612640,1091177,1910810,1887124,1076694,1076691,1087491,919132,518349,290737,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334106,599642,1066800,1870129,1069745,1069743,1609835,1894126,3229910,4612202,5253066,5255312,3211626,1881083,1881084,1615468,918758,602094,335314,335313,602088,1071472,254262421,3231688,3231689,5277895,5265039,3220053,1887025,1887023,3220051,5244251,8174673,11718202,12120474,12120475,8181995,8181996,12151609,268081447,11048579,12140701,12151576,8181948,8181949,7323586,4624633,2785010,1615415,1615416,2785013,4624638,7323594,8152972,5224010,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783468,3226799,3226801,3256251,5305885,4734926,3000660,1742571,990109,990110,1742550,1742528,1742526,1063188,597634,333087,183343,100497,100498,183348,333100,597665,1063242,1063357,1063358,1863825,254389185,8149233,12118130,12119268,8150586,5221959,3185521,3185524,4655446,2804633,1627005,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244731,8175151,7820359,5318912,3267745,3267746,1921039,1921040,3196787,3196789,3224591,1890259,1890263,2804527,1626941,1626938,2804515,1676631,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958024,1741620,1741622,2998777,4964986,4461334,3242886,1903034,1903031,1903017,1903021,3215609,3215610,5260215,8190960,5296437,3247417,1906305,1088346,1088347,1087091,1087093,1904233,3244501,5293241,4735692,4735693,7492285,4736350,3255826,1912569,1912570,2851920,1654850,941561,531095,531093,941556,1654834,1655009,2852147,4733496,4733495,5303416,8230370,5301909,3252702,1910172,1910173,3252665,1910143,254265897,267907691,255159327,8190865,5260093,5260094,8186287,5255753 Dl.O(d2) = 5289007,3240595,3240596,3252467,1910160,1090746,612408,340594,186944,102124,56183,56184,102128,186957,340619,612453,1090821,1904497,1087255,1087256,1090373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 435679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6696232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6696232, s2 = 8297491, int(edited[s2]) = 0 s1 = 6696232, s2 = 8297491, d1 = 5, d2 = 2 Dl.O(d1) = 257462664,37290375,47198649,261395145,260666910,41447358,256134013,18923336,254924947,6891919,6891920,10455486,15160912,15944776,11064635,7336413,4636033,4636030,254762915,7343779,4638444,4638445,7343781,254777199,7489346,7336209,7336208,11064312,11074803,11074804,15957526,22059514,255883573,22058682,15954452,11082357,7348675,4641445,4641447,7348679,255073459,11069806,7346644,4640184,4640183,7346643,11079405,15963210,22048561,29377290,22065532,22065533,29395951,254399804,37871595,29302106,21974773,15880493,11008406,11008407,15880499,255812291,19011295,14030515,9645907,9645908,13655733,9351071,9351070,11400144,7575053,4791049,2887955,2887956,4791055,7575069,11400181,9319789,9319526,9319527,9271466,6104955,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,4608981,6121981,6121982,9346601,6929135,6929134,10508021,13589886,19038057,23279425,25642663,23775904,22433810,16266079,11309204,11309205,16266083,19126464,21157363,16266658,13553901,12622912,12622911,17827625,19104508,19037284,19037283,19087628,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,13593284,9307696,6582543,6582541,10015229,14555252,14554995,13791044,13791041,16264845,13587797,13587793,255678035,25765881,19126219,13656113,255279649,254985163,254985161,10015412,10015410,12470227,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,13204655,18581296,18581295,13620151,13620152,11119418,11119419,16014906,19010199,13567714,9289424,9289423,13567710,17872342,12656316,12656317,17872343,15571926,10771186,7116800,7116801,10771188,15571930,16264325,16264324,17867749,12653137,12653138,9289418,9289417,13567697,17866809,12652501,267916199,3463370,3463371,5581966,8590478,12652510,12668236,17885133,19010878,13568223,13568070,9289651,9289652,255272383,25625422,21764277,15708002,10874038,7189535,7189536,10874039,15708003,255860555,255340930,29304437,22037734,21975712,16129642,11204706,11204705,16129638,22271277,29622569,29302467,21975145,15880775,11008566,11008564,15880765,21975132,15949719,13850907,13850908,19364158,26043017,33865049,37707608,29147360,268215953,15769710,21839367,29147361,256900611,46909582,37032632,37032631,42730462,33700669,33700670,37707580,34110869,32242676,24644653,18188287,12900030,8774751,8774750,12900027,18188280,24644640,32242663,41034952,48227174,38317658,29748665,22388731,22388730,29748662,37056567,37326187,28789773,28789774,29147379,29147378,34585013,26597890,19791903,14176628,14176627,12285587,11158582,7401244,7401242,11158578,16069992,11307372,11307370,12190015,17314515,16070859,11159281,11159282,12320183,17474585,17368917,17368916,23691427,28910715,255416091,15604398,21636180,16068722,11157587,11157586,16068718,22197681,29541043,22354598,16203164,16203163,16263111,255472523,16254305,16254308,22419757,22420037,23776218,29710191,22354953,22354952,22355898,22355897,29710926,38277270,38358015,38276856,38276855,31238420,23754974,17428569,16253461,11300129,7502421,4742395,2858076,1658724,1658725,2858082,4742412,7502449,11300184,11730717,11300654,7502747,7502748,4971686,3002947,3002949,4971695,7503543,7477690,7477687,4742661,2858213,1658782,1658783,2858215,4742665,7502844,7502843 Dl.O(d2) = 21503019,28762808,31060163,28761139,21501536,21501537,28761140,24005812,17660356,17660357,17524049,15494653,15494652,17265262,17265263,23576790,31060412,31717259,24209647,17839539,12632811,8577454,8577455,12632816,17839547,24209659,24158519,24158518,255097234,29901212,30451618,23043435,23043434,30451615,39041088,257094688,34574501,34574502,43846082,257882415,258529332,57814346,46458260,256282429,28119126,36592081,46458264,57814353,70515684,70515677,57814350,57814349,70515675,57814356,57814357,70515669,80278692,269636774,54590506,66849158,80278684,94335130,97872663,84003871,70470300,70470299,84003869,85628389,72040349,72040348,85628387,99578526,113594515,113594517,125619678,127469932,259364262,258115642,72040370,85628413,99578552,113594541,259383602,113594498,109569018,109569017,113594514,99578530,85628395,85628394,85628435,85628436,270555790,76501824,90333421,99578528,259982492,111805112,97872659,97872660,99578509,85628376,72040333,72040334,72040339,72040340,59304579,59304578,72040367,72040356,72040355,259362289,85628409,72040365,59304577,47910033,37993991,37993990,29431756,22099892,15990422,268221043,29431754,268399650,29431757,37994004,47910055,47910031,47910032,37994014,29431768,255075760,15990425,22099897,29431766,37994020,47910046,37993996,37993995,47910043,43375249,34276389,26401410,26401409,28775616,268616299,58604487,47910066,37994016,29431764,29431763,37994015,47910064,59304592,59304593,72040382,85628420,85628432,85628431,259364264,79328583,79328582,79328584,93459164,99578562,85628428,259362291,261708736,40852976,38828574,30245176,30245177,30245916,30245915,26025780,19349278,19349277,26025779,33845942,37289764,37289765,254456476,38843236,48762851,53322528,43210324,34122955,26257583,19538816,13990363,9610884,9610885,254083164,26257587,34122959,43210328,48380151,38477950,29918738,22560066,22560065,29918733,38477945,48380148,59762798,71799487,71799486,72496563,59762758,59762757,72496561,61777163,50297691,48380157,38477957,38477956,48380155,50022245,40003871,31326001,29106870,21808195,21808194,17496274,17496275,23835565,31326645,40004638,38478056,29918800,29707863,22560064,16381237,16381236,22560062,29918731,23835533,23835532,31326598,40004571,48134957,38477883,38477884,48380067,52064965,59058900,47658597,256165830,50022958,50022955,61500966,74277674,256197272,48134939,48134940,269172530,48447168,268767572,30452027,30452026,39041450,48962773,50026233,40007683,38224882,29658703,22306617,22306618,29658706,256620920,38477914,29918713,22560052,22560053,29918714,38477917,48380105,59762759,55384941,55384940,54654752,255698398,40004149,31326274,23835320,23835081,23835079,27156912,27156911,25103856,25103855,32805913,28670146,21423237,15431797,10668347,10668346,15431791,21423228,28670131,37191984,29821990,29821989,30856469,30856471,30824753,30220309,23396970,17124961,12051553,8102629,5191485,3167779,1854621,1854625,3167773,5191469,4564965,255867373,37027348,28529324,21307048,256313965,18143969,18143970,24588833,32175065,40954476,49761928,46732811,36849977,28352347,270800795,260394751,270657913,9869832,6483591,6483592,9869835,11569532,7702429,254795927,4873309,4873310,7699975,10813991,11566791,7698786,267981301,9888422,6497339,4071298,4071297,4071299,6497342,9888428,13906301,9543934,6261789,6261788,9543933,13906298,19434655,20043624,14358715,14358716,16587317,11567219,7699095,7699094,11567213,9893412,7699086,4872754,4872755,4875441,2937753,2937755,4875447,7699070,7699325,7700663,10814127,7700680,7700679,11566939,16290499,20065997,14381891,14381892,9889251,9889250,6508466,6508468,4874405,2937177,1703267,1703269,2937193,4874436,7203670,10892728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6696232, s2 = 8297491, dlinesl.size( ) = 2 s1 = 6696232, s2 = 8297491, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6696232, Dl.E( ) = 14, 1.81e-05 seconds used appending s1 = 8021457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8021457, s2 = 8253151, int(edited[s2]) = 0 s1 = 8021457, s2 = 8253151, d1 = 18, d2 = 17 Dl.O(d1) = 12894481,254294264,32235042,41027358,51183861,62833929,75798062,85648798,72061885,59327745,269335032,38022481,257500491,11064405,7336258,4634142,2791574,1619415,1619419,2791579,4634153,7336279,9229731,6891919,6891920,10455486,15160912,15944776,11064635,11064633,7336883,4634482,2791759,2791760,4634495,2794018,2794015,4638684,7336425,11064658,15944794,15945079,11064877,7341564,4637180,2793192,1620208,1620209,2793195,2248383,2248382,3754416,6003404,7348790,4641521,4641522,7348793,7348824,4641540,2795562,2795561,4641536,4636766,4636764,7340768,11070786,7344966,4639176,4639174,7344961,11076924,11060846,11060845,7348109,4641108,2795341,1621364,921956,921955,1621359,2795334,4641095,7348089,11081365,255447691,29399834,37944983,29379888,255561020,22045707,15943609,13494015,13494017,11063803,7335854,4633896,4633894,7335844,11058006,15935756,15965675,11081451,11074813,11074814,15936019,21642500,21642502,28917033,256198612,25542455,18929791,18929792,255725332,29624939,22273573,16131524,16131527,16130578,11205371,11205375,16130586,21976665,21976667,21425631,21425633,28673319,255690106,256156453,256377987,22047514,15944470,11064405,11064404,15944468,255882529,37943378,47862174,59258356,47862185,37943385,29378014,22047514,15944470,15944469,22047512 Dl.O(d2) = 258734011,269334199,256377987,22047514,15944470,11064405,7336258,255445807,29378010,258193196,10288956,14955352,255785729,256809775,257119860,256060668,17035489,17035488,21392254,21392253,28630987,37144789,270807497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8021457, s2 = 8253151, dlinesl.size( ) = 18 s1 = 7893475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16294554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294554, s2 = 554915, int(edited[s2]) = 0 s1 = 16294554, s2 = 554915, d1 = 2, d2 = 14 Dl.O(d1) = 84760696,256722064 Dl.O(d2) = 8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574558,11206189,7435599,4698494,4698496,7435608,11206139,11206137,16131640,22065512,21193691,21193688,16131287,11205912,7435457,4698425,2830751,1642359,933895,526322,294922,294920,526300,933845,1642265,2830592,4698077,7434727,7434730,11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,11206531,11206533,13485876,9226598,9226599,13485873,15882341,18927747,13493503,13493505,15882390,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424752,9178608,8471150,8471151,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1399235,1399237,2417026,2417023,4033190,6428725,8122268,12078666,17178775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16294554, s2 = 554915, dlinesl.size( ) = 11 s1 = 7930045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7930045, s2 = 14208335, int(edited[s2]) = 0 s1 = 7930045, s2 = 14208335, d1 = 27, d2 = 6 Dl.O(d1) = 4632426,4632427,7333158,11059371,254796762,11068952,11068951,15945734,11070909,7340856,7340857,11070916,11074904,7343500,7343501,8721761,5677250,3531062,2101406,1209956,1209958,921773,921774,1620939,2793378,4637481,7342070,11072751,15954927,11072673,7342014,4637453,4637452,7342009,10492271,10492272,15210641,11081506,9204101,9204100,7338515,4635463,4635465,7338524,7339275,4635882,2792515,2792517,4635889,7339291,8637460,8637459,12712542,11065231,7336815,4634447,4634446,7336814,4641442,4641441,7348667 Dl.O(d2) = 190231318,181432454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7930045, s2 = 14208335, dlinesl.size( ) = 20 s1 = 11655876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 438688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 438975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 438975, s2 = 10165096, int(edited[s2]) = 0 s1 = 438975, s2 = 10165096, d1 = 1, d2 = 1 Dl.O(d1) = 11136617,255076779,22159953,29498688,38061416,44726060,49933444,48768266,38848518,30264726,24484385,18061631,18061632,24484388,32049812,30264747,30264748,33320685,29580315,29580314,31261623,30744189,23776621,18391655,13063603,13063600,18391648,24812424,18323280,18323281,24812428,31261726,23776613,17446874,12298352,12298349,10002848,6573446,6573445,10002857,14538547,17442571,12295512,12295511,17442563,23770975,23770586,23770585,20216503,20216505,27119676,22218457,22218456,22217363,22217362,27093874,35182727,31240979,31240978,29563097,29563096,38128655,48041822,39916410,31240951,23756967,17429995,17429996,23756968,31240888,31827305,255745720,23758994,31243255,256910121,29249450,21928916,15842213,15842214,21928917,29249451,37814418,39916415,255721084,41703653,32788332,26342116,19613301,14054534,9664192 Dl.O(d2) = 11136617,255076779,22159953,29498688,38061416,44726060,49933444,48768266,38848518,30264726,24484385,18061631,18061632,24484388,32049812,30264747,30264748,33320685,29580315,29580314,31261623,30744189,23776621,18391655,13063603,13063600,18391648,24812424,18323280,18323281,24812428,31261726,23776613,17446874,12298352,12298349,10002848,6573446,6573445,10002857,14538547,17442571,12295512,12295511,17442563,23770975,23770586,23770585,20216503,20216505,27119676,22218457,22218456,22217363,22217362,27093874,35182727,31240979,31240978,29563097,29563096,38128655,48041822,39916410,31240951,23756967,17429995,17429996,23756968,31240888,31827305,255745720,23758994,31243255,256910121,29249450,21928916,15842213,15842214,21928917,29249451,37814418,39916415,255721084,41703653,32788332,26342116,19613301,14054534,9664192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 438975, s2 = 10165096, dlinesl.size( ) = 2 s1 = 438975, s2 = 10165096, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 438975, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14482422, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8087442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656778, s2 = 7864241, int(edited[s2]) = 0 s1 = 11656778, s2 = 7864241, d1 = 1, d2 = 1 Dl.O(d1) = 21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911014,2911011,4830945,7636181,8585933,12645271,17856050,21724869,15690092,15690093,21740034,21752127,15698875,15698873,21752119,21756837,21723844,21723842,21749344,21749343,21745506,15694105,10864584,10864583,15675612,10852093,10852096,10852050,10852048,15675535,21719567,15696368,15696369,21748794,17858288,17858289,21738529,22908365,17857834,17857271,15680366,15680364,12645851,8586512,5579496,3461804,2052900,1177725,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859117,10859267,10859270,10857364,7178182,4521881,4521882,7178185,10857367,15683258,15685136,21733272,16375630,16375628,22552425,29018948,37565533,47472165,47474476,37568546,29022074,29022071,37568544,37552459,37552458,31743729,24233691,21724773,15679322,10854804,7176491,7176492,10854808,15679314,15692419,21743227,21719797,21719799,29005678,29010395,29010393,24235859,24235857,21741729,15691230,10862628,255052149,21741724,29029265,24234370,24234368,24232431,21735546,15686669,12647972,12647971,17858649,17858647,24232080,21745123,21745122,29010877,37557132,29051363,21757164,15702500,10870109,10870108,15702498,21757160,29023621,21734164,15685783,10858895,10858896,15685788,21734174,29021252,29021249,22806826,21730313,15683140,10857317,7178155,4521873,4521874,7178160,7180537,7180536,255051925,21738433,29029139,23163204,21725264,254746660,7176565,4520721,2717231,2717235,2718874,2718876,4523363,7180434,10860675,10866883,254509987,4523902,2719198,267826657,7181228,10861699,254746865,4527170,4527171,7186053,10859274,10859273,15683033,21716804,15695682,15695681,21721846,15677435,10863886,7182809,7182808,7175620,4520344,4520343,254229137,1575381,2718849,4523319,7177484,4523897,2719194,1575582,1575584,2717614,254509375,7184985,8396720,8396717,8396718,8396721,8396722,12423731,17601286,22267668,16126632,11202617,11151818,11151816,16060679,21575003,15551784,15551783,21575001,22268220,22189912,22189913,255132474,16125321,11201461,7432487,4696607,2829758,1641830,933589,933588,1641828,1642038,1642039,1641824,933586,933587,1641826,2829749,4696595,254771249,16125264,22266544,255898967,16125952,11201999,11202002,11202177,11202175,255460501,29618519,29619152,29619151,38092791,29529145,29529146,30354892,29536725,29536724,38100396,48011033,38100284,29536601,255892129,16065121,11154943,7398889,4674137,2815973,1633674,1633675,2815977,4674147,7398910,11154980,16065167,14166929,9739563,6404498,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,7865481,4992659,3016294,3016290,4992646,7865447,255131775,254564661,3082726,3082725,1798981,1026467,1026469,1798966,3073408,1802917,1029256,581444,581442,1014365,575736,322179,322178,322419,322213,322214,179609,179608,98787,54612,30864,17798,10217,5717,5716,10208,17737,17736,30722,54280,98104,178205,322387,576124,1022486,1027046,1027045,1799799,3055158,3055126,1780267,1780264,3055133,3052019,1802753,1802749,3057767,1797252,1025559,581020,324921,324922,322240,322239,575833,1021959,254253475,5063442,5063441,3079733,1797336,1025598,577899,577898,1017768,573623,573622,1017766,1784769,3061838,5054095,5072835,3075860,1794549,1023811,576901,322795,322796,576904,1023817,1794557,3075884,5045244,7934583,11870685,16958581,11920359,11920360,17006908,254389844,11212746,7439889,4701060,4701061,7439890,11212748,11924382,7978342,7978341,7980780,11927135,11882083,11882085,16968386,11880368,7942206,5050979,3060203,1783955,1783953,3060198,5050971,7942181,11880334,16968350,11934320,11934321,11934236,7986751,5083070,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069547,5065343,7962546,11878733,11878732,11879327,254382774,5050544,7941469,11879331,11878747,7941062,5050316,5050315,7941060,7962121,7985749,7985746,11933015,11908686,7965549,5067708,5067707,7965544,11908684,11911569 Dl.O(d2) = 21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911014,2911011,4830945,7636181,8585933,12645271,17856050,21724869,15690092,15690093,21740034,21752127,15698875,15698873,21752119,21756837,21723844,21723842,21749344,21749343,21745506,15694105,10864584,10864583,15675612,10852093,10852096,10852050,10852048,15675535,21719567,15696368,15696369,21748794,17858288,17858289,21738529,22908365,17857834,17857271,15680366,15680364,12645851,8586512,5579496,3461804,2052900,1177725,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859117,10859267,10859270,10857364,7178182,4521881,4521882,7178185,10857367,15683258,15685136,21733272,16375630,16375628,22552425,29018948,37565533,47472165,47474476,37568546,29022074,29022071,37568544,37552459,37552458,31743729,24233691,21724773,15679322,10854804,7176491,7176492,10854808,15679314,15692419,21743227,21719797,21719799,29005678,29010395,29010393,24235859,24235857,21741729,15691230,10862628,255052149,21741724,29029265,24234370,24234368,24232431,21735546,15686669,12647972,12647971,17858649,17858647,24232080,21745123,21745122,29010877,37557132,29051363,21757164,15702500,10870109,10870108,15702498,21757160,29023621,21734164,15685783,10858895,10858896,15685788,21734174,29021252,29021249,22806826,21730313,15683140,10857317,7178155,4521873,4521874,7178160,7180537,7180536,255051925,21738433,29029139,23163204,21725264,254746660,7176565,4520721,2717231,2717235,2718874,2718876,4523363,7180434,10860675,10866883,254509987,4523902,2719198,267826657,7181228,10861699,254746865,4527170,4527171,7186053,10859274,10859273,15683033,21716804,15695682,15695681,21721846,15677435,10863886,7182809,7182808,7175620,4520344,4520343,254229137,1575381,2718849,4523319,7177484,4523897,2719194,1575582,1575584,2717614,254509375,7184985,8396720,8396717,8396718,8396721,8396722,12423731,17601286,22267668,16126632,11202617,11151818,11151816,16060679,21575003,15551784,15551783,21575001,22268220,22189912,22189913,255132474,16125321,11201461,7432487,4696607,2829758,1641830,933589,933588,1641828,1642038,1642039,1641824,933586,933587,1641826,2829749,4696595,254771249,16125264,22266544,255898967,16125952,11201999,11202002,11202177,11202175,255460501,29618519,29619152,29619151,38092791,29529145,29529146,30354892,29536725,29536724,38100396,48011033,38100284,29536601,255892129,16065121,11154943,7398889,4674137,2815973,1633674,1633675,2815977,4674147,7398910,11154980,16065167,14166929,9739563,6404498,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,7865481,4992659,3016294,3016290,4992646,7865447,255131775,254564661,3082726,3082725,1798981,1026467,1026469,1798966,3073408,1802917,1029256,581444,581442,1014365,575736,322179,322178,322419,322213,322214,179609,179608,98787,54612,30864,17798,10217,5717,5716,10208,17737,17736,30722,54280,98104,178205,322387,576124,1022486,1027046,1027045,1799799,3055158,3055126,1780267,1780264,3055133,3052019,1802753,1802749,3057767,1797252,1025559,581020,324921,324922,322240,322239,575833,1021959,254253475,5063442,5063441,3079733,1797336,1025598,577899,577898,1017768,573623,573622,1017766,1784769,3061838,5054095,5072835,3075860,1794549,1023811,576901,322795,322796,576904,1023817,1794557,3075884,5045244,7934583,11870685,16958581,11920359,11920360,17006908,254389844,11212746,7439889,4701060,4701061,7439890,11212748,11924382,7978342,7978341,7980780,11927135,11882083,11882085,16968386,11880368,7942206,5050979,3060203,1783955,1783953,3060198,5050971,7942181,11880334,16968350,11934320,11934321,11934236,7986751,5083070,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069547,5065343,7962546,11878733,11878732,11879327,254382774,5050544,7941469,11879331,11878747,7941062,5050316,5050315,7941060,7962121,7985749,7985746,11933015,11908686,7965549,5067708,5067707,7965544,11908684,11911569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656778, s2 = 7864241, dlinesl.size( ) = 2 s1 = 11656778, s2 = 7864241, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656778, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 7974534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7974534, s2 = 8211633, int(edited[s2]) = 0 s1 = 7974534, s2 = 8211633, d1 = 30, d2 = 29 Dl.O(d1) = 93381702,85077997,71505983,71505982,76282281,79255070,270384211,61465599,74244056,64121419,52272274,41933431,41933432,52272276,51546624,41325327,32478958,24838466,24838465,32478956,256578284,49166997,49166996,60566336,73309507,85759637,85759635,85759636,270320168,99756856,259370350,109481906,95228132,258745298,72165286,85759619,92705427,78643703,78271706,78271707,92298993,256932000,48034161,38120859,29555579,22210694,22210695,29555581,38120862,48034164,59426510,59425708,48033286,48033285,59425705,59426513,59426512,59426473,48034123,38120829,29555555,22210679,22210678,29555553,38120823,38121632,29556263 Dl.O(d2) = 48032528,55326653,268401172,60333309,70391680,60348235,51135002,41957142,33014805,25289711,18716720,13323532,9103472,9103471,13323530,18716718,25289707,33014798,41957226,47002129,47002128,37143825,28630133,28630132,37143818,37143819,47032539,52506352,64379979,71088495,58372217,256315586,40411532,31719895,24212713,17842570,12635051,254614867,3457783,2049936,1175660,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,17842782,22893648,30292006,37116260,41957399,33014946,33014945,39757995,31080315,31080314,39757994,49776669,52015488,52298404,47032554,47032555,47032551,47032553,49963303,49963302,256619488,41731757,32811267,32811266,30835315,30835316,257030761,59175232,60695318,49293911,39366449,30764829,23341588,17075461,17075460,23341586,256480921,49293899,60695301,73443278,87060841,87060878,73443338,65129417,65129416,78411057,65571713,65571714,78906649,258827008,106751504,104621998,90457939,77886160,64696409,52781847,42382559,42382560,51742160,51742159,53144471,42693916,33663213,25857223,19200203,19200204,25857225,268400232,53144476,65129419,78411060,258741648,94381380,80326216,80326215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14488450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 79032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 79032, s2 = 8084396, int(edited[s2]) = 0 s1 = 79032, s2 = 8084396, d1 = 7, d2 = 7 Dl.O(d1) = 1636732,1636733,254351775,7410397,11169809,16083645,14209201,14209202,255555332,21260417,21260418,21242723,15275493,12388854,8371964,8371963,268112787,255269383,254448007,2274757,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968404,10565029,13511488,13511490,18948249,21703803,22375443,16219636,11275195,11275193,13521283,13521284,9253084,9253085,13520406,10532408,6946064,4364979,2672796,2672797,4448847,7065956,5577083,3460102,2051727,1176878,660630,660628,1176872,2051708,3460053,5577003,8582882,12640739,256042933,40418198,269412469,22685043,22685042,30062426,30238946,30238944,38822213,46399081,42200474,33239414,33239416,39030162,31285571,23799288,17466682,12314274,8317887,8317888,12314276,17466687,23799294,29488944,258116869,71383814,256370124,37346877,47256294,58648427,55399173,55399174,256810610,46867263,36988801,28491790,255136560,46867260,58235061,255967326,50363571,50363570,61848038,256468304,102269538 Dl.O(d2) = 1636732,1636733,254351775,7410397,11169809,16083645,14209201,14209202,255555332,21260417,21260418,21242723,15275493,12388854,8371964,8371963,268112787,255269383,254448007,2274757,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968404,10565029,13511488,13511490,18948249,21703803,22375443,16219636,11275195,11275193,13521283,13521284,9253084,9253085,13520406,10532408,6946064,4364979,2672796,2672797,4448847,7065956,5577083,3460102,2051727,1176878,660630,660628,1176872,2051708,3460053,5577003,8582882,12640739,256042933,40418198,269412469,22685043,22685042,30062426,30238946,30238944,38822213,46399081,42200474,33239414,33239416,39030162,31285571,23799288,17466682,12314274,8317887,8317888,12314276,17466687,23799294,29488944,258116869,71383814,256370124,37346877,47256294,58648427,55399173,55399174,256810610,46867263,36988801,28491790,255136560,46867260,58235061,255967326,50363571,50363570,61848038,256468304,102269538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 79032, s2 = 8084396, dlinesl.size( ) = 2 s1 = 79032, s2 = 8084396, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 79032, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 440571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9058974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9058974, s2 = 14848328, int(edited[s2]) = 0 s1 = 9058974, s2 = 14848328, d1 = 9, d2 = 2 Dl.O(d1) = 273929077,273239999,19028671,13582408,9300104,6092138,6092140,7420380 Dl.O(d2) = 3811623,2283232,2283228,2285795,1325978,254113855,134217,134214,242171,134362,73032,73037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9058974, s2 = 14848328, dlinesl.size( ) = 8 s1 = 10340771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9133959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9133959, s2 = 9501248, int(edited[s2]) = 0 s1 = 9133959, s2 = 9501248, d1 = 10, d2 = 16 Dl.O(d1) = 262775318,59565094,48178724,38269339,256944311,53397090,49285331,39358398,30757654,30757653,39358397,30757658,23335043,17068804,11979470,11979469,17068803,23335042,30757656,268654902,59604795,48217933,38308220,38308218,46386565,48216962,38307263,29739330,22381146,16224173,16224172,22381135,29739309,38307234,38307661,38307662,38307650,29739604,22381309,16224251,11278528,7486808,7486810,11278534,16224271,22381342,29739643,22696934,22696935,20890447,20890448,28060821,36526659,30569514,30569513,38080756,47993334,38307675,38307676,36526635,28060803,28060802,36526628,46386487,46444486,38307538,29739520,29739518,29740020,29740019,38308200,39040698,48962121,57736325,59604009,48216951,257527215,60356070,73095008,85019597,71446998,58715890,47326893,46641711,36755995,28274436,21071082,15135636,10439053,10439050,15135623,21071041,28274377,36755312,28260244,21058824,15126638,10433326,6878270,6878271,10433330,6878302,254718495,15126765,21059008,28260480,36755563,46641400,37490425,256293338,21423858,255035205,10668627,15432231,21423862,28670964,37192932,47088813,42711814,36571663,36571662,30414703,30414702,23301547,23301546,30718839,36571308,28261021,28261020,28261427,28261424,25472033,20921177,15014346,10343120,10343121,15014352,20921185,28096008,36566601,46430930,53917816,43392863,43392862,53917814,65986193,79353015,93489345,107927192,113053369,113053368,126906170,134806803,121010055,106756889,100530495,100530497,114561277,121114077,109532729,95277883,81220312,67753902,55413519,44565893,35187517,27100165,27100166,35188327,27099865,27099864,35188630,44566794,44566793,44566350,35188938,35188521,27099757,20200234,14494450,9973106,254981135,20200230,27099754,27099300,20199780,14494078,255335581,27099299,27099863,27099791,20200264,20200263,27099789,27099330,27099331,20200351,14494545,14494544,20200350,20200638,20200639,27100250,255752063,14494089,14494090,20199318,14493702,14493701,9972883,6554400,4106091,2456064,254473861,9972893,14494188,20199198,20199199,14495003,9973511,6554833,4106377,2456235,1419856,807721,807720,1419855,2456232,4106371,6554827,254981185,20200940,27099430,20199978,14494234,9972929,6554756,4106319,4106320,6554758,9973414,14494879,20199804,27099321,35187639,27099073,20199558,14493882,9973049,9973048,14494380,255752009,27099683,35188442,257319105,49071138,39141136,39141135,49071137,58180606,46813525,46813524,255981760,84451352,86833039,73220542,60474213,49071140,49071141,60474215,73220546,86833041,100814240,106786138,106786137,258874454,84439550,84439551,87114106,87114105,101112133,113517159,112343432,258217312,258266936,258747548,270320894,115183954,101105777,87107710,258529796,115183951,129115663,259513310,112332655,98349368,84439539,84439540,71589341,58866507,47484707,47484706,58866505,71589337,85156475,99079980,113068728,257609726,256483698,70894532,84451349,79122329,65766634,53709950,43198417,34112257,26248285,26248286,29606644,26607310,19799911,19799910,26607308,34594606,43865462,43198411,34112253,26248283,19531020,19531019,19531023,13983990,9605771,9605772,13983991,19531026 Dl.O(d2) = 258749963,99762384,113776614,127644796,140993007,153659113,153659127,140993028,130438048,259554446,88487743,102494182,261329557,126064974,126064972,112208672,100403248,100403246,112208484,112208678,112208679,126065119,139436835,261546764,273496972,263599416,262779576,152161728,260674814,98230121,84322653,70763388,58044382,58044385,70763400,70763353,58044363,58044366,70763336,58044458,46669016,36782327,28285589,28285588,36782321,46668995,58044415,70763432,259275381,260496787,264453903,274506179,231395831,265720506,274099398,273864886,200947135,193868941,262713718,261172168,113812204,271335897,85842241,258129703,59516470,72250635,85842242,99794860,113808766,127676691,141024807,153690919,153690917,153690916,165469984,167871585,156287684,156287683,167871584,178302781,178637332,168301188,156832365,144421832,258299046,117387873,258921862,74775132,88406853,102407215,92471053,78434849,65152934,53168597,42719103,33688992,26909016,20025327,14343080,14343081,20025332,26909027,34989968,44368204,257434830,35328529,35328528,35186602,35186601,40469691,255201568,17884549,12667874,8602841,5590383,3468243,2056544,1179815,1179814,2056539,3468226,5590339,8602708,12667620,17884168,17884227,17884225,14194626,9757991,9757992,14194617,14194615,19816260,26627271,29678643,26627240,26626805,26626807,22095172,15987021,11098315,9757879,6416040,4025279,2412199,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415905,9757650,14194051,19815489,256106863,25133958,256345163,21673593,15635927,15635928,21325427,15353340,15353342,21325432,17802540,17802538,22432842,22432841,29799320,26414278,25690151,25132691,25132689,32837815,25134334,25134333,31511746,26628449,19817252,19817253,26628453,32839592,28327860,21117702,21117701,28327857,21117874,21117875,16834783,11772668,7859938,7859937,11772667,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,21991141,28374137,21157020,21157019,25898118,28160120,21991177,21991176,21991185,15893832,15893833,21991213,28160111,36634771,33460959,25688953,25688952,21989553,15892681,11017461,7293912,7293913,11017466,13749409,9420785,6172707,6172705,9420779,13749390,19243565,25904489,26127753,26127755,31409495,23919491,17577952,17577951,23919487,25876654,25701453,25701452,26124275,33962365,26168740,26157432,19458092,13925211,13925210,19458084,26122902,19433255,13905081,13905083,19433263,17769482,17769481,21494507,28753836,24133034,17769467,12574973,12574972,17769465,24133031,31640113,257092035,50356583,61840687,74632877,88263198,102261371,102261372,116355545,130193665,143522639,130193666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9133959, s2 = 9501248, dlinesl.size( ) = 2 s1 = 9133959, s2 = 9501248, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9133959, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 9688251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9688251, s2 = 8016917, int(edited[s2]) = 0 s1 = 9688251, s2 = 8016917, d1 = 29, d2 = 21 Dl.O(d1) = 35120907,38054506,258117061,67684507,55344826,55344825,67684506,61984858,50492917,50492918,61984854,50492922,50492921,61984861,74780942,61984855,61984856,61984860,50492920,40457013,31762558,24250695,255202027,12657053,17873354,22263021,22263020,29613955,38181029,48092809,59482360,59482361,59482362,50492896,256552505,256552503,29613960,256367902,7431293,4695902,254236683,933483,933484,1641624,2588537,1492203,926984,926987,1630254,2810189,4664527,7383221,11130847,13422340,16114092,16112858,11192183,7426741,4693054,2827746,2827744,4693045,7426716,7418844,4688183,2824932,1639090,932131,932127,1639074,2824908,4688145,7418773,7426119,9178783,11193641,7427258,4693357,4693355,7427049,4693229,2827850,1640717,932965,932968,1640639,2827707,4692996,7426479,7426259,4692776,2827593,1640579,1640583,2827602,4692790,7426288,11192339,16030505,16030506,15080999,10402205,10402208,11181575,11181574,16098530,16113621,11192892,11181008,7418914,4688224,2824960,1639103,932136,525423,294448,162836,89503,254078621,294450,525429,254165893,2824989,1776214,1012719,570840 Dl.O(d2) = 21546862,26365765,26365709,26365708,26365720,21720401,21720400,29006359,34242465,26365755,19633071,14069940,9676032,6363715,3992828,2392856,1384901,1384902,2392857,3992830,6363718,6363868,6363859,3992933,3992932,3992990,3992991,6363935,3993070,2393019,1384992,787803,446267,251123,251122,446265,787799,1384981,2392996,254463083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9688251, s2 = 8016917, dlinesl.size( ) = 26 s1 = 6485442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054519, s2 = 442542, int(edited[s2]) = 0 s1 = 15054519, s2 = 442542, d1 = 6, d2 = 6 Dl.O(d1) = 88689796,85812382,85812383,257333284,59481299,72218444,72218443,59481298,48091806,255762190,16122174,16122175,12698030,8626748,8626749,255205981,24305675,27980857,30840448,23410796,17135747,17135746,16154499,11223403,7446852,7446853,11223405,16154501,267830030,16156438,11224941,7447995,4705775,2834819,1644574,935123,254166205,254353353,7448003,11224952,16156430,16154495,254237080,7446905,7446906,267974880,11224877,11224878,16156372,18824710,16156335,11224845,7447905,7447904,11224844,16156334,22300085,255901542,42111647,268224454,48128288,38218208,38218209,38218210,38218211,48128295,59515691,72249905,85841586,85841563,72249876,59515663,48128272,48128271,59515662,72249874,85841561,72249906,72249899,59515687,48128293,48128292,59515685,72249896,85380363,99324597,99794258,99794257,85841584,72249892,72249891,85841583,259291706,258040584,47649136,59050296,66878491,54620631,54620632,66878493,80308091,258443150,108652799,94364732,94364733,85841579,72249888,59515675,59515674,259377651,87682008,74074784,61293156,61293155,74074783,87682006,84627970,71064467,58348193,58348192,71064465,84627964,87682018,87682001,87682000,87682017,87682016,87681981,87681955,74074767,258739896,61293119,61293120,74074737,258865063,87681966,87681967,87681970,258116546,39792903,39792904,49813469,61293113,49813461,49813460,61293111,74074730,87681953,98611225,84686529,71122210,71122213,84686533,98271956,259302403,71122197,58404417,47032151,47032145,37143451,37143452,47032148,47032167,37143479,28629834,28629833,24312168,24312169,31830002,40527345,40527386,37143463,28629820,21391250,255399206,4423300,4423299,7031357,10649064,15406640,21391243,28629805,37143424,37143423,47032101,58336954,58336953,46969007,46969006,37087507,37087508,257436969,50602314,50602315,58404354,47032170,47032169,58404424,71122145,58404347,47032087,37143404,37143405,29653786,22302148,22302149,29653788,38219808,48129832,59517119,261172215,153691131,263454280,77749766,64567124,52666524,42279179,33297852,255695085,13775793,13775794,255695087,21164511,15207948,10490451,6917377,6917380,8900666,8900669,13061742,13061748,13724546,9401446,6159492,3854085,2309109,1339709,765181,435190,435189,765179,1339705,2309095,3854051,6159431,9401345,13724380,19214152,19272464,19272463,19272172,19271479,19271480,19214197,13724408,13724407,19214195,18388142,13061217,13061218,18388137 Dl.O(d2) = 88689796,85812382,85812383,257333284,59481299,72218444,72218443,59481298,48091806,255762190,16122174,16122175,12698030,8626748,8626749,255205981,24305675,27980857,30840448,23410796,17135747,17135746,16154499,11223403,7446852,7446853,11223405,16154501,267830030,16156438,11224941,7447995,4705775,2834819,1644574,935123,254166205,254353353,7448003,11224952,16156430,16154495,254237080,7446905,7446906,267974880,11224877,11224878,16156372,18824710,16156335,11224845,7447905,7447904,11224844,16156334,22300085,255901542,42111647,268224454,48128288,38218208,38218209,38218210,38218211,48128295,59515691,72249905,85841586,85841563,72249876,59515663,48128272,48128271,59515662,72249874,85841561,72249906,72249899,59515687,48128293,48128292,59515685,72249896,85380363,99324597,99794258,99794257,85841584,72249892,72249891,85841583,259291706,258040584,47649136,59050296,66878491,54620631,54620632,66878493,80308091,258443150,108652799,94364732,94364733,85841579,72249888,59515675,59515674,259377651,87682008,74074784,61293156,61293155,74074783,87682006,84627970,71064467,58348193,58348192,71064465,84627964,87682018,87682001,87682000,87682017,87682016,87681981,87681955,74074767,258739896,61293119,61293120,74074737,258865063,87681966,87681967,87681970,258116546,39792903,39792904,49813469,61293113,49813461,49813460,61293111,74074730,87681953,98611225,84686529,71122210,71122213,84686533,98271956,259302403,71122197,58404417,47032151,47032145,37143451,37143452,47032148,47032167,37143479,28629834,28629833,24312168,24312169,31830002,40527345,40527386,37143463,28629820,21391250,255399206,4423300,4423299,7031357,10649064,15406640,21391243,28629805,37143424,37143423,47032101,58336954,58336953,46969007,46969006,37087507,37087508,257436969,50602314,50602315,58404354,47032170,47032169,58404424,71122145,58404347,47032087,37143404,37143405,29653786,22302148,22302149,29653788,38219808,48129832,59517119,261172215,153691131,263454280,77749766,64567124,52666524,42279179,33297852,255695085,13775793,13775794,255695087,21164511,15207948,10490451,6917377,6917380,8900666,8900669,13061742,13061748,13724546,9401446,6159492,3854085,2309109,1339709,765181,435190,435189,765179,1339705,2309095,3854051,6159431,9401345,13724380,19214152,19272464,19272463,19272172,19271479,19271480,19214197,13724408,13724407,19214195,18388142,13061217,13061218,18388137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054519, s2 = 442542, dlinesl.size( ) = 2 s1 = 15054519, s2 = 442542, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15054519, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 442648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 442648, s2 = 14162257, int(edited[s2]) = 0 s1 = 442648, s2 = 14162257, d1 = 51, d2 = 36 Dl.O(d1) = 11227781,7450034,4707133,2835652,1645054,1645056,2835658,2812166,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294 Dl.O(d2) = 2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7615571,4818402,4818401,4871189,4871190,7585023,7585022,11413660,16397143,22579782,29942992,38506875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 442648, s2 = 14162257, dlinesl.size( ) = 24 s1 = 8000240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8111264, s2 = 13285347, int(edited[s2]) = 0 s1 = 8111264, s2 = 13285347, d1 = 89, d2 = 9 Dl.O(d1) = 255545861,12142238,8171645,5240826,5240828,8171649,8310754,12304480,8488127,8488126,12309152,12309153,15851815,12481689,12481690,17460426,16737586,11693805,11693803,16737580 Dl.O(d2) = 12642743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8111264, s2 = 13285347, dlinesl.size( ) = 18 s1 = 6702637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6702637, s2 = 6460168, int(edited[s2]) = 0 s1 = 6702637, s2 = 6460168, d1 = 17, d2 = 19 Dl.O(d1) = 257521583,38236098,255903299,255087355,11242044,16174601,22319562,256941735 Dl.O(d2) = 255840089,268385841,254736494,14961014,10293560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6702637, s2 = 6460168, dlinesl.size( ) = 2 s1 = 6702637, s2 = 6460168, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6702637, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 10161926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7872660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7872660, s2 = 6516628, int(edited[s2]) = 0 s1 = 7872660, s2 = 6516628, d1 = 3, d2 = 5 Dl.O(d1) = 254834853 Dl.O(d2) = 255468607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7872660, s2 = 6516628, dlinesl.size( ) = 2 s1 = 7872660, s2 = 6516628, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7872660, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 444997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163110, s2 = 6482855, int(edited[s2]) = 0 s1 = 14163110, s2 = 6482855, d1 = 14, d2 = 44 Dl.O(d1) = 254763470 Dl.O(d2) = 11591372,7716078,4883821,2942835,254365287,7716074,11591366,16617660,22839629,30232135,38118059,255147242,23256917,254385684,11164695,7406069,4679065,4679066,7406070,11164697,11881965,7943451,5051729,5051733,5073718,5073719,5073837,7973465,7973549,7973574,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000940,6000941,7941076,5050323,5050324,7941079,11878772,16966857,23238201,30658813,254822048,254823762,10450431,11934288,11934289,17018284,17093852,23241774,254351560,21665243,17006438,11919907,11919906,17006435,17004734,11918004,11918005,16968409,16987180,11901933,7959966,5063264,3075787,1794521,1794522,3075790,5072709,7972016,11917239,8348332,5388270,3313332,1949210,1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,7470509,7963458,5066060,5066058,7963392,7963391,11905929,254766170,17275003,22200308,22200307,267795852,11884396,11884395,16971997,17275221,17098932,17098933,23367620,20875719,14973628,10305790,6777460,6777459,254368755,2973382,4929417,5392148,5392147,5392256,8354101,255049093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163110, s2 = 6482855, dlinesl.size( ) = 2 s1 = 14163110, s2 = 6482855, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163110, Dl.E( ) = 64, 2.79e-05 seconds used appending s1 = 445538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9094861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9094861, s2 = 14493424, int(edited[s2]) = 0 s1 = 9094861, s2 = 14493424, d1 = 15, d2 = 28 Dl.O(d1) = 3141920,3141896,1837541,1837542,3141899,3097431,254380803,3120957,1824097,1041226,586280,586282,1041233,1810128,2868592,2868593,4759107,2868573,2868571,4759103,7525577,11328906,8052860,8052858,8047008,8047009,11995231,11326458,11326457,7993336,5088098,5088096,7975553,7975550,254129262,5130493,3118757,1822747,1040476,1040475,1822745,3118753,5130484,7117050,7117052,8159189,5230153,5230152,8159187,12127471,17245056,23285615,17026444,11941461,11941460,17026442,17103807,17103234,12017702,8077035,8077033,7116274,7116273,254130188,21598787,21707085,15665196,11938621,11938622,12017546,11795278,7876955,5001221,5001220,7876952,11795270,16863313,11871849,11871848,12687368,17908709,18520189,13158970,8969356,8969357,13158973,18520191,268120088,255472941,7508797,4746327,254356365,254167503,944649,1660138,2860400,4746323,7508791 Dl.O(d2) = 225519172,227474894,227474898,227474899,229185276,230696537,232042977,233255858,234083613,233745032,232584809,266324857,266109482,232545664,274462822,228198502,226354632,226354631,228198501,226416317,226416316,228254016,229867556,266221775,234771231,265987016,265551480,226354632,264975176,218949835,264484354,211495905,263519152,262683192,175430815,164672995,261685478,140142486,259958402,112937690,98948548,85023562,71451421,58720910,47332307,47332308,58720913,71451425,85023563,85039276,93205229,81100462,81100461,84892408,71318449,58585010,58585009,57756293,46405496,46405494,57756289,67634809,257703180,95158359,81100536,81100535,72665918,269433754,57727819,46377551,36518308,28053654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9094861, s2 = 14493424, dlinesl.size( ) = 28 s1 = 302943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 302943, s2 = 14867430, int(edited[s2]) = 0 s1 = 302943, s2 = 14867430, d1 = 39, d2 = 47 Dl.O(d1) = 7511085,7511086 Dl.O(d2) = 15299307,10563743,10563744,10517557,6936044,4358487,2611402,2611399,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700250,10700245,9247513,9247516,6056424,3789686,3789683,6054951,6054949,6059944,6059942,9246482,9246485,12052500,10700683,7069568,4451031,4451032,7069570,10700686,255179125,17547956,12378048,8364339,5405389,5405390,7069893,7069894,10701175,12435030,8404180,8404181,10530729,10530728,9939477,9939478,8362252,5397475,3318950,3318948,5199495,268104233,255177844,268997171,115966150,261281750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 302943, s2 = 14867430, dlinesl.size( ) = 2 s1 = 302943, s2 = 14867430, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 302943, Dl.E( ) = 52, 2.1e-05 seconds used appending s1 = 8035258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10138804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13168781, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6434467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7977142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6486769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7896589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7896589, s2 = 306121, int(edited[s2]) = 0 s1 = 7896589, s2 = 306121, d1 = 16, d2 = 14 Dl.O(d1) = 2895289,4503590,7151499,7592843,7592842,7592998,7592996,11412916,7594124,7594123,11424333,11418459,11418457,15021227,10348881,10348882,10348877,7584458,5967245,4392940,4392942,5967275,5967273,8844830,12992153,16393253,15229463,11413926,7585226,7585228,11413930,11416420,11449509,7614924,7614925,11448515,7614085,7614086,7613868,4817129,254241783,957610,539634,539635,539618,539617,957582,1684012,2902863,4816910,7613546,11447883,11447876,11440069,11440070,11429835 Dl.O(d2) = 7598534,4806721,4806722,254785757,4816009,2902282,1683664,957363,957362,1683663,2902279,4816001,7612251,7620909,4821758,2905624,1685473,1684852,1684851,2904507,4819882,4820196,4309637,2954282,1713127,973477,548091,548095,973489,1713145,2954314,4901759,7606779,4812388,2900255,2900256,4812395,7606793,9852261,6813123,4273395,4273394,6813117,7606522,7606521,4812235,2900180,1682619,1682620,1682737,956898,539271,302232,167331,92091,92092,167338,302246,539298,956942,1682591,956835,956834,1682585,2900129,268164768,9212697,13471023,13470531,9212284,6031270,6031269,9210703,7157543,4507878,2708792,2708795,2708571,2708576,2263122 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7999851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6486997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6486997, s2 = 10169100, int(edited[s2]) = 0 s1 = 6486997, s2 = 10169100, d1 = 24, d2 = 26 Dl.O(d1) = 38558159,29988459,22620968,255104059 Dl.O(d2) = 13126434,13126432,9371488,9371494,13684605,19163851,25812462,28655944,28655946,32067133,24496078,24496080,32067073,32067069,33058945,42002591,48964508,50258163,41579896,41579895,33345832,27046742,255332325,14458075,20154227,27046743,256748857,55355493,67695388,259163617,100690573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6486997, s2 = 10169100, dlinesl.size( ) = 12 s1 = 80589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 80589, s2 = 34274, int(edited[s2]) = 0 s1 = 80589, s2 = 34274, d1 = 4, d2 = 7 Dl.O(d1) = 84388724,257465508,71894946,255851170,37836084,37836085,47758514,47895576,59291182,71894950,59291183,59291184,59291178,47895573,47895575,59291180,72027582,72027583,85616053,99566457,85616057,72027586,61563657,50083434,40062015,40062014,50083432,59776207,48393262,38490307,29929690,22569322,16388324,11406031,7579435,7579436,11406032,16388327,17039381,11953153,11953152,17039379,16953631,16953632,17039348,255975725,38894030,48815303,60211213,72950154,74041431,72238744,59503782,48115984,48115986,59503786,60211212,59503806,59503805,72238763,80358588,91270495,80295075,66865736,54607755,43864738,34594005,26606817,26606818,34594011,43864746,54607771,59503645,72238638,72238706,72238735,72238736,80295288,257883579,54607967,66866019,80295305,94351594,259019910,66865987,72238558,59503551,54607994,54607992,59503666,59503667,51749264,41479969,32602091,32602090,33068451,33068521,33068522,33311172,25549599,25549592,25549590,25549574,25549575,33311148,27963983,27963984,36422320,46274946,42012692,33068473,25338704,25338703,24939347,18426519,18426520,24939351,26640804,34631212,42291294,52677680,52351912,51749222,41479932,32602073,32602074,41479935,51749229,41479944,32602079,32602081,25338766,18758856,18758854,25338761,33068552,33311082,33311083,35312632,44732084,42291150,42291149,42012741,33068532,25338742,25338683,18758803,18758804,13501232,9237155,9237153,13501227,18936965,25549581,33311155,33068444,29952438,22588675,20268535,20268534,27192909,21355869,15378746,10627223,7014367,4410233,2644367,2644368,4410236,7014373,254731242,5846430,3648401,2180941,1263965,1263964,2180939,3648397,5846424,8957023,5846436,5846435,6406052,4019000,4018999,6406046,8985138,5865910,5865911,8985125,8985126,8985137,8985135,13181466,255642813,32801432,25099907,256104267,18551613,18551607,18551606,19784216,19784215,26589033,34576229,43848054,43848057,34576232,26589039,26589038,34576231,43848055,54592693,66851679,66851699,258113606,38036870,29473952,22137385,22137384,29473951,257505819,49920784,61400743,74180896,63825917,52010158,52010159,63825919,52036693,52036694,52036699,41721390,32801488,32801489,41698506,34576364,34576365,43848191,43848190,34576360,32801478,32801477,41721377,43848187,43848188,34576377,26589187,19784344,19784345,26589189,34576380,32801529,26589178,26589179,32801503,25099967,25099935 Dl.O(d2) = 18551655,25099937,32801470,41721375,52036686,256618694,32801498,25099976,25099977,32801528,41721438,52036718,52036717,52036650,41721340,41721341,52036652,63856520,52036746,41721436,41721435,52036744,43848039,43848040,54592676,52010157,52010156,52036727,269068042,66851709,54592740,43848132,34576307,26589114,19784287,14170962,14170963,19784289,268538212,43848038,34576214,34576213,39241864,49167661,60566955,66851667,66851666,80281449,257903188,76968572,73310216,73310215,86920405,80281486,80281488,94337642,268812576,80281439,76974567,63863132,52043799,52043798,254681308,32808797,25106582,25106581,32808794,254681306,52043790,255314328,62983866,70988267,67722171,67722170,81187140,76974624,254963564,52043846,63863197,76974634,90853130,90853124,90853050,76974532,63863105,52043772,52043773,63863106,76974534,63863192,52043841,52043842,63863193,70723433,58008035,46633250,46633251,58008037,70723435,76974519,63863093,63863094,75966605,75966604,89746052,103850333,90853037,76974521,76974522,63863116,52043780,52043781,52043834,41729155,41729156,52043836,63863185,76974623,90853070,105032252,119224929,125968235,125968234,139320150,146282666,133055059,256723068,90853041,90853040,105032231,105032241,90853048,76974529,76974526,76974527,90853044,105032234,119224920,133055061,134199853,120366809,106164236,91966130,91966129,106164233,120366805,134199847,120366803,106164228,105032283,90853104,90853103,98170100,98170099,112131754,120366815,134199859,134199849,134199848,139320099,125968173,112131665,112131667,116528464,102431580,98170007,98170008,112131669,112131681,98170018,98170017,91966159,78039005,64841941,52917207,42507813,42507814,52917209,64841945,78039013,67705585,55365882,55365881,67705582,81171131,95227377,109481249,98170030,84274841,84274842,95227400,81171155,81171154,95227399,95227384,81171139,81171140,95227386,109481257,260246238,80281504,66851728,54592759,43848150,43848151,54592760,43848171,34576347,26589154,19784317,15119949,10428978,10428979,15119951,254962095,6406028,6406027,9742157,14170975,19784308,26589142,34576331,26589138,26589137,22139813,16022682,11124893,11124892,16022680,22139809,29476720,36745871,28250266,21049916,21049917,28250184,21049862,21049861,28250180,26589149,19784312,19784311,26589147,34576342,43848163,54592771,46633159,36745889,28250278,21049926,21049927,28250280,26589151,256197319,21049929,21049930,28250283,23840714,17500375,17500374,15119920,15119921,21049896,21049895,28250242,36745841,46633060,256617430,256617428,36745777,34576222,31379249,31379248,40062017,34576341,28250188,21049864,15119897,10428948,10428947,6875769,4316269,2581544,2581543,4316266,6875765,10428971,255377197,28250286,30189653,30189655,256124294,39314986,256634466,44498498,36793249,35185075,27096308,20196989,20196988,16636668,16636669,17143814,15982609,11095508,11095507,15194473,10480442,255018329,14386828,14386829,20070390,268376943,21088971,21147750,21147751,22144737,28363742,28969050,28969049,28363909,21148017,15194725,15194724,21147781,15194559,15194560,21147783,23422897,29443060,29443059,36862035,28363637,21147754,15194537,12049932,8101216,5190270,5190271,8101218,12049933,9241586,6915929,6915927,10488864,11105731,15194618,15194620,21147865,28363750,22109239,22109221,15997510,15997509,22109216,28379603,23357493,17089163,12001567,12001564,17089161,15648284,10831031,7159743,7159744,10831035,15648288,16881824,23142017,28968880,21687015,15647995,10830804,10830805,15647997,15206227,10488876,6915939,4343983,4343984,6915941,8100953,5190065,3166615,3166616,2601097,1500680,850533,254157797,2601095,4344109,2601630,2601629,4344835,4643321,6915623,4343753,4343754,6915626,8101259,5190302,3166803,1853902,1853901,3166799,5190297,4345961,4345960,3167569,1854455,1058431,595177,331846,182747,182750,331854,595189,480795,480794,851254,1501815,2602649,4345904,6917938,4651898,254250348,5610434,5603175,3478755,254422283,8618842,12688061,8624209,5607358,5607357,8618927,5603256,5603255,5609696,3484058,2068687,2068688,3484063,5604539,3479918,2068663,1187700,667256,370157,370158,667258,1187701,2068664,3484032,5609661,8627228,12698660,17922588,24306792,30270172,22873119,22873118,16656676,11624270,11624269,11555612,7689355,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,11561379,15930937,255148442,14404526,268233671,11553668,7687627,254794659,11422813,11422814,16406428,11609757,11609759,7742206,7742205,11623899,11612698,7732367,4895133,2950041,2950040,4895129,7600773,4808346,4808347,2897907,1681491,956350,956351,966541,1700113,2928869,2928870,4860277,2929018,254363675,7681658,7681664,7603735,7603736,7695086,7695085,8844866,7329868,4630387,2789463,1618332,1618329,2789451,2949050,2949051,4893570,7270099,5984407,5984405,6471365,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957842,254297607,2233482,3730542,254537751,2892070,1678530,954933,954934,955193,1679103,2893217,2930335,4798354,2892253,2892254,4798359,7586245,11412819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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 80589, s2 = 34274, dlinesl.size( ) = 2 s1 = 80589, s2 = 34274, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 80589, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 452000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8174560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8174560, s2 = 11655751, int(edited[s2]) = 0 s1 = 8174560, s2 = 11655751, d1 = 6, d2 = 6 Dl.O(d1) = 189450012,189450011,197150785,203723639,209214700,213721440,217419876,263830804,223128493,225395418,227366143,229089769,228808706,227038844,225010099,222674133,219953250,263075542,212838969,208080681,202310110,195445508,187418946,178194793,167741299,156138742,143604056,130276489,116439640,268066118,59147985,47749456,47749455,37879185,37879187,47802873,39003460,30414253,23009520,16770374,16770373,23009515,30414244,39003439,36792717,28295811,21088493,15148073,11952470,11952471,9206933,6027632,6027634,9206975,13463483,18892657,22248051,29597077,255566838,37951941,37951940,39382157,47954513,38040953,38040954,47954516,258739393,84332831,84332823,70774058,70774059,70773959,70773956,258024710,259272686,72870731,72870734,70773977,58055987,58055985,70773971,70773997,83871032,70345760,70345759,57655244,46310671,46310670,57655233,57655230,59074119,47673740,268626143,21877798,256536223,31528605,40214559,38819185,30235889,30235888,35047384,26966596,26966597,35047390,44421987,55269394,60313806,268451564,256051026,30779893,23355579,17087694,17087695,23355585,30779911,39381706,49309475,60711773,49803077,39783900,31104966,31104967,39783904,37933042,29366541,22035899,22035900,29366543,37933047,47852960,59249604,71986852,72656632,72373865,59916906,59916904,60615275,59915698,59915697,60615294,59639341,48252057,38341312,29769932,22406542,22406541,29769925,38341296,48252044,59639311,59916938,59917098,59917097,72657225,72936370,72936369,86534702,87077346,86257523,72656681,59916389,48522887,38607589,30033570,22658702,16464968,11471958,11471959,11471969,16464990,22658749,30033661,38607719,38607363,30033426,30033425,38607357,48522516,59915970,64174567,52322798,48522913,38607602,30033575,30033576,38607605,37293773,37293775,47201816,38607918,38607919,48523399,59917036,55741829,44833943,35408570,27282968,20347561,14604630,255344905,27282952,35408533,39382191,30780399,23355959,17087920,12000530,12000527,17087909,21869469,21869468,256361649,23298927,17038759,17038760,23298930,20077146,20077145,21071119,15135654,15135652,21071115,23670934,19840653,19840654,26654216,34645282,43918247,43918839,54661320,59265495,47869971,40353907,31659092,31659091,40353901,50388706,43918202,34645240,34645242,43918207,41687391,41687392,51998806,58028504,60642099,52492332,42135377,257124750,64365249,60327298,49864765,39841725,31159072,28261758,28261757,32088584,36752335,28257393,21056511,15124909,10432181,10432176,15124832,10432131,8700141,8700145,12796601,13324599,18718236,25291890,33017611,41960408,40786646,32029821,24467579,18047752,12794020,8698225,8698224,12794018,18047748,23464396,30897813,36571308,28261021,28261020,28261427,28261424,25472033,18871719,18871716,25472020,33218725,29310228,29310226,36749627,36749629,33444270,25673730,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,23301544,23301545,23010519,23010518,30415566,25673179,19051955,19051954,25673177,33443600,42436504,52841381,60326762,58172839,46805350,46805351,255377772,29758540,255804514,25075988,18533215,13168462,13168463,18533218,25075991,29597625,38164177,254770430,31817455,28100121,25498092,20924441,254355838,36571493,41495092,41495089,32614581,24949036,24948974,18433502,13093357,13093359,18433504,18433560,24949074,32614601,41495115,35136903,27051133,256223859,43902143,40635044,31919452,31919451,31919453,35144246,44520469,55366349,258535565,95227716 Dl.O(d2) = 189450012,189450011,197150785,203723639,209214700,213721440,217419876,263830804,223128493,225395418,227366143,229089769,228808706,227038844,225010099,222674133,219953250,263075542,212838969,208080681,202310110,195445508,187418946,178194793,167741299,156138742,143604056,130276489,116439640,268066118,59147985,47749456,47749455,37879185,37879187,47802873,39003460,30414253,23009520,16770374,16770373,23009515,30414244,39003439,36792717,28295811,21088493,15148073,11952470,11952471,9206933,6027632,6027634,9206975,13463483,18892657,22248051,29597077,255566838,37951941,37951940,39382157,47954513,38040953,38040954,47954516,258739393,84332831,84332823,70774058,70774059,70773959,70773956,258024710,259272686,72870731,72870734,70773977,58055987,58055985,70773971,70773997,83871032,70345760,70345759,57655244,46310671,46310670,57655233,57655230,59074119,47673740,268626143,21877798,256536223,31528605,40214559,38819185,30235889,30235888,35047384,26966596,26966597,35047390,44421987,55269394,60313806,268451564,256051026,30779893,23355579,17087694,17087695,23355585,30779911,39381706,49309475,60711773,49803077,39783900,31104966,31104967,39783904,37933042,29366541,22035899,22035900,29366543,37933047,47852960,59249604,71986852,72656632,72373865,59916906,59916904,60615275,59915698,59915697,60615294,59639341,48252057,38341312,29769932,22406542,22406541,29769925,38341296,48252044,59639311,59916938,59917098,59917097,72657225,72936370,72936369,86534702,87077346,86257523,72656681,59916389,48522887,38607589,30033570,22658702,16464968,11471958,11471959,11471969,16464990,22658749,30033661,38607719,38607363,30033426,30033425,38607357,48522516,59915970,64174567,52322798,48522913,38607602,30033575,30033576,38607605,37293773,37293775,47201816,38607918,38607919,48523399,59917036,55741829,44833943,35408570,27282968,20347561,14604630,255344905,27282952,35408533,39382191,30780399,23355959,17087920,12000530,12000527,17087909,21869469,21869468,256361649,23298927,17038759,17038760,23298930,20077146,20077145,21071119,15135654,15135652,21071115,23670934,19840653,19840654,26654216,34645282,43918247,43918839,54661320,59265495,47869971,40353907,31659092,31659091,40353901,50388706,43918202,34645240,34645242,43918207,41687391,41687392,51998806,58028504,60642099,52492332,42135377,257124750,64365249,60327298,49864765,39841725,31159072,28261758,28261757,32088584,36752335,28257393,21056511,15124909,10432181,10432176,15124832,10432131,8700141,8700145,12796601,13324599,18718236,25291890,33017611,41960408,40786646,32029821,24467579,18047752,12794020,8698225,8698224,12794018,18047748,23464396,30897813,36571308,28261021,28261020,28261427,28261424,25472033,18871719,18871716,25472020,33218725,29310228,29310226,36749627,36749629,33444270,25673730,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,23301544,23301545,23010519,23010518,30415566,25673179,19051955,19051954,25673177,33443600,42436504,52841381,60326762,58172839,46805350,46805351,255377772,29758540,255804514,25075988,18533215,13168462,13168463,18533218,25075991,29597625,38164177,254770430,31817455,28100121,25498092,20924441,254355838,36571493,41495092,41495089,32614581,24949036,24948974,18433502,13093357,13093359,18433504,18433560,24949074,32614601,41495115,35136903,27051133,256223859,43902143,40635044,31919452,31919451,31919453,35144246,44520469,55366349,258535565,95227716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8174560, s2 = 11655751, dlinesl.size( ) = 2 s1 = 8174560, s2 = 11655751, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8174560, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 953553, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7815694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7815694, s2 = 14940152, int(edited[s2]) = 0 s1 = 7815694, s2 = 14940152, d1 = 42, d2 = 82 Dl.O(d1) = 254215978 Dl.O(d2) = 46618957,46618956,57995070,70711871,70711876,57995075,46618958,46618959,258020417,84263215,98157217,112116660,125950390,139299643,152006811,163875227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7815694, s2 = 14940152, dlinesl.size( ) = 2 s1 = 7815694, s2 = 14940152, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7815694, Dl.E( ) = 94, 3.7e-05 seconds used appending s1 = 11655502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7934665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7934665, s2 = 14570496, int(edited[s2]) = 0 s1 = 7934665, s2 = 14570496, d1 = 5, d2 = 17 Dl.O(d1) = 3149159,1842326,1051334,1047221,590099,588693,584461,329248,329247,584418,583401 Dl.O(d2) = 40368241,31673641,31673642,32020466,24459135,18040483,12788188,8693801,8693802,12788183,18040475,24459125,32020453,37856460,37856461,47780031,48963154,51647653,50893395,40777157,40777158,50893163,51647672,46311836,46311835,46311832,41406860,32548692,32548691,32605955,24942303,18428666,17132477,12040061,8094262,8094261,255148943,23406476,18428905,18428904,18428659,13089983,8920190,5821241,3631516,3631517,5821251,8920204,13089994,18428584,18428572,13089932,8920161,5821229,5821230,8920163,13089936,18428575,13090112,13090113,13089991,13089990,13089952,8920171,8920170,13089950,18428600,24942227,32605800,24942158,18428555,13089914,8920147,5821221,5821220,8920146,13089912,18428551,24942157,32605797,32606410,24942681,18428958,13090194,8920340,5821336,5821335,8920337,13090189,18428948,24942660,24942667,24942668,32606389,41485237,41485129,32606284,32606285,24942609,24942608,32606247,32606244,41485082,51755206,63533943,74628830,88259032,88259031,74628812,61836587,50352387,50352386,61836584,61836583,74628807,61836604,50352405,50352404,61836572,257674749,40325449,31636116,24129041,24129042,269004287,258906449,257674741,40325427,31636093,31636094,31636095,31636096,40325430,40325433,31636100,24129032,17765745,12571916,8526108,8526109,12571918,17765747,24129036,31636106,31636118,31636119,256543737,24129026,24129025,24129015,24129014,17765750,17765751,24129040,31636114,31636087,24129022,17765740,12571914,12571913,17765738,24129018,31636082,40325417,40325414,40325413,257091669,40325415,268687797,24129038,17765749,12571920,12571919,255585021,31636108,257674745,74628806,61836582,50352383,50352382,258906451,88259036,74628816,61836590,50352394,40325442,31636109,31636110,40325444,258283781,74628819,81096094,81096093,258906455,74628822,73098272,60359916,60359915,73098271,86701760,100674928,88259038,74628817,74628818,259436947,86701786,86701785,260053773,100674931,86701762,259436935,86701758,73098275,73098274,61836569,61836568,258906445,86702034,259436937,258812755,258812757,60359923,48964682,39043216,30453681,23045207,16799285,16799286,23045210,30453688,257581927,73098324,67564452,67564451,81033595,73098303,73098302,73098300,73098301,259436939,270895414,48964679,39043494,30453977,30453975,39043491,39043222,39043223,48964693,60359942,73098309,73098311,86701791,81033599,67564454,55220830,44369603,34991241,34991242,44369606,48964927,60360180,73098546,259436943,86701789,258523491,60359945,258189627,67564439,258523485,258812795,73098544,67564440,67564441,270657509,259436941,95091640,271359385,100674955,95091665,95091664,259436944,81033602,81033586,259152753,81033583,67564444,55220823,44369598,34991239,34991238,269189999,67564438,81033576,95091639,95091651,81033588,67564448,55220825,44369600,34991240,26910112,20026229,20026231,26910114,256737481,55220834,67564458,81033604,95091673,109345800,117958942,103811347,103811348,109345798,109345797,123537498,260053782,95091655,95091656,109345791,123537495,114721248,100675022,100675019,86701867,86701868,100675020,106839689,92528127,78488109,78488108,92528125,258189628,121099227,134900606,121099222,106839677,106839676,121099221,260053784,106839679,92528117,92528118,106839681,111654482,97733509,83874567,83874566,97733508,111654481,260053786,148020142,148020141,134900607,125457043,261046643,125457037,125457036,138785901,151487357,138785910,138785899,125457031,111654467,111654466,271849486,138785908,138785909,138785896,125457027,125457028,125457049,260053788,83874571,70349542,57659451,57659452,70349543,83874572,97733503,111654462,97733491,97733490,97733501,97733502,257042880,85037104,85037105,85037106,97733504,83874564,70349536,57659442,57659441,70349533,70349532,258234342,111654474,258856896,83874550,70349516,57659421,57659422,70349519,57659448,46315152,36462234,36462233,46315149,57659426,46315133,46315132,57659424,57659428,269760735,70349528,71634093,58913500,47532281,37625753,37625752,47532280,258709767,85078527,71506489,58777166,47390000,37482365,37482364,37482371,28940355,21661457,15625323,15625324,21661459,28940359,37482378,37482369,37482370,47390008,47532278,257476299,58777195,58777194,47390018,37482376,256885787,258076727,259326921,85078555,85078554,99004018,85078546,271775000,58913493,257451440,37625749,47532275,58913489,258709761,71634084,85198801,259335707,113111621,99121322,99121323,113111623,99121327,85198805,85198804,99121325,113111626,126970398,140325619,140325620,140325622,140325623,140325624,140325610,126970391,126970390,126970411,126970412,140195113,261681863,164862866,164862867,153024460,153024461,164862868,171251548,160015247,147752026,147752025,160015245,160015258,147752042,147752041,147752029,134621510,120824593,120824592,120824603,106576412,92278206,78250993,78250992,92278205,78251004,64977556,53002680,42562744,42562743,53002678,64977552,78250998,92278215,92278218,106576428,106839685,106576418,92278211,78250995,78250996,256902194,64977554,78251002,258092166,120824608,106576441,92278228,92278229,106576442,120824607,106576416,92278209,92278208,106576415,106576424,259341802,134621522,134621521,147752038,272199392,153214012,140532037,127185670,127185671,140532040,153214015,165032575,158709639,146340992,133114294,119285131,105092654,90912805,77032761,77032760,90912804,90912826,105092670,119285143,133114299,119285136,119285135,271977919,105092653,258339480,90912798,269938842,77032763,268713812,41787803,268467728,63920653,77032766,90912813,102457789,102457791,100784747,86803989,73191981,73191982,86803991,100784749,114836774,100784743,86803986,73191978,73191977,60445498,49041704,39111997,39111998,49041706,60445502,73191983,86803973,86803974,86803984,100784741,114836746,100784715,86803966,73191960,60445490,49041700,49041701,60445492,73191965,86803972,100784723,100784725,86803975,86803976,100784728,114836766,114836772,100784734,100784733,114836771,128736560,142094964,154732734,154732733,166442521,166104941,154358357,141709037,271355508,114484986,260643158,136278148,149543730,149543733,136278151 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6435732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6435732, s2 = 1519429, int(edited[s2]) = 0 s1 = 6435732, s2 = 1519429, d1 = 5, d2 = 15 Dl.O(d1) = 254362497 Dl.O(d2) = 30100996,38675089,257555057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6435732, s2 = 1519429, dlinesl.size( ) = 2 s1 = 6435732, s2 = 1519429, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6435732, Dl.E( ) = 16, 4.05e-06 seconds used appending s1 = 7856499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1187107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1187107, s2 = 6433504, int(edited[s2]) = 0 s1 = 1187107, s2 = 6433504, d1 = 33, d2 = 137 Dl.O(d1) = 30127682,22744984,16536807,11525917 Dl.O(d2) = 846196,846195,254157367,254328623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6538286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13328297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13172815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8149518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8149518, s2 = 8213205, int(edited[s2]) = 0 s1 = 8149518, s2 = 8213205, d1 = 14, d2 = 43 Dl.O(d1) = 38800201 Dl.O(d2) = 59525490,48138551,255252450,22309583,254914510,38228472,48138552,59525491,52308372,257774385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8149518, s2 = 8213205, dlinesl.size( ) = 2 s1 = 8149518, s2 = 8213205, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8149518, Dl.E( ) = 46, 1.22e-05 seconds used appending s1 = 13255287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13255287, s2 = 13134235, int(edited[s2]) = 0 s1 = 13255287, s2 = 13134235, d1 = 28, d2 = 34 Dl.O(d1) = 19576484,14024077,9640418,9640422,14023976,9640389,6337454,6337453,9640410,14024061,19576460,16084602,11170578,7410840,4682662,4682663,7410844,11170587,15396320,10640902,10640901,15396316,16620733,11593456 Dl.O(d2) = 62837397,51187341,51187340,41030908,254289050,18184434,18184435,20342447,21917956,15834204,10972891,7263009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13255287, s2 = 13134235, dlinesl.size( ) = 12 s1 = 13341805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 899089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15088013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15088013, s2 = 10140490, int(edited[s2]) = 0 s1 = 15088013, s2 = 10140490, d1 = 7, d2 = 7 Dl.O(d1) = 40225143,255249358,31316913,39993698,50011547,61489492,68144699,55746848,44839084,35414003,27289372,20354664,14610800,10053608,254296954,27289371,35414001,31402526,23910469,23910470,23722877,23722878,23352314,17084859,11997317,8049935,8049934,11997314,17084853,23352303,20143632,20143631,17573328,12401482,12401481,11618651,7737554,7737553,11618649,16651007,254495946,31193711,39875231,255820694,74157794,87762063,87762064,101734557,115779600,129676176,143003889,151612462 Dl.O(d2) = 40225143,255249358,31316913,39993698,50011547,61489492,68144699,55746848,44839084,35414003,27289372,20354664,14610800,10053608,254296954,27289371,35414001,31402526,23910469,23910470,23722877,23722878,23352314,17084859,11997317,8049935,8049934,11997314,17084853,23352303,20143632,20143631,17573328,12401482,12401481,11618651,7737554,7737553,11618649,16651007,254495946,31193711,39875231,255820694,74157794,87762063,87762064,101734557,115779600,129676176,143003889,151612462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15088013, s2 = 10140490, dlinesl.size( ) = 2 s1 = 15088013, s2 = 10140490, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15088013, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13223313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14184047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14184047, s2 = 11071740, int(edited[s2]) = 0 s1 = 14184047, s2 = 11071740, d1 = 0, d2 = 7 Dl.O(d1) = 13452424 Dl.O(d2) = 58022792,70737224,257200422,112147215,125983788,119678543,105439644,91216989,77296566,64147414,52295126,41954233,33011937,256114463,18714036,13320714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14184047, s2 = 11071740, dlinesl.size( ) = 2 s1 = 14184047, s2 = 11071740, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14184047, Dl.E( ) = 42, 2.69e-05 seconds used appending s1 = 81689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6690699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6488752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 313833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6553807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553807, s2 = 6655687, int(edited[s2]) = 0 s1 = 6553807, s2 = 6655687, d1 = 120, d2 = 91 Dl.O(d1) = 255900837,16148738,16148739,22293479,258128995,269925320,269030600,34012752,34012751,33685128,25878661,19219366,19219367,13975710,13168379,9090855,5947215,5947213,9090852,13309711,13728655,13728654,19219371,14116238,13386623,13386621,18793282,14043548,9656253,6349607,3983976,3983974,3744727,3744726,3744771,5988800,5988802,6198852,5701369,3547637,2394528,2394523,3995737,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272034,4272033,6270882,9556733,13923320,13879031,9521350,7812711,7812710 Dl.O(d2) = 256998381 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 314306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13258303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 462608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 462608, s2 = 1201577, int(edited[s2]) = 0 s1 = 462608, s2 = 1201577, d1 = 1, d2 = 10 Dl.O(d1) = 11728936 Dl.O(d2) = 30420593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 462608, s2 = 1201577, dlinesl.size( ) = 2 s1 = 462608, s2 = 1201577, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 462608, Dl.E( ) = 18, 1.5e-05 seconds used appending s1 = 13284009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8029853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 19348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 19348, s2 = 11004088, int(edited[s2]) = 0 s1 = 19348, s2 = 11004088, d1 = 1, d2 = 1 Dl.O(d1) = 173635110,183425786,191984211,199346419,205574924,205046355,198714817,191241169,263302226,262883108,149169836,135945334,122017117,107641988,93238470,79122028,65766273,53709557,43197976,34111892,26247937,256080950,268130192,6308661,6308662,9605541,9210088,6029641,3772160,3772155,2400918,1389285,790055,447446,447450,790071,1389319,2400983,4006414,6384869,6575145,6350919,3984789,2388208,2388210,3984795,3922122,2347792,1359923,775133,775136,1359934,775662,440308,440312,275769,152369,152367,152544,152538,276259,311741,311742,557555,991337,1744668,3004167,4973799,7835670,11736422,268383026,7055942,7055941,10681492,15449131,21445475,28697184,37222893,47120602,58499153,71221196,258361002 Dl.O(d2) = 173635110,183425786,191984211,199346419,205574924,205046355,198714817,191241169,263302226,262883108,149169836,135945334,122017117,107641988,93238470,79122028,65766273,53709557,43197976,34111892,26247937,256080950,268130192,6308661,6308662,9605541,9210088,6029641,3772160,3772155,2400918,1389285,790055,447446,447450,790071,1389319,2400983,4006414,6384869,6575145,6350919,3984789,2388208,2388210,3984795,3922122,2347792,1359923,775133,775136,1359934,775662,440308,440312,275769,152369,152367,152544,152538,276259,311741,311742,557555,991337,1744668,3004167,4973799,7835670,11736422,268383026,7055942,7055941,10681492,15449131,21445475,28697184,37222893,47120602,58499153,71221196,258361002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 19348, s2 = 11004088, dlinesl.size( ) = 2 s1 = 19348, s2 = 11004088, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 19348, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9701369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13315767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8078062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6589480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7926336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7926336, s2 = 467549, int(edited[s2]) = 0 s1 = 7926336, s2 = 467549, d1 = 11, d2 = 12 Dl.O(d1) = 16091926,11176606,7415399,4685819,3048819,1776201,1012715,570838,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1012750,1012749,1776331,3049002,3049008,5035728,7920709,7920638,7920637,11850811,11851488,7921040,5035904,5035906,7921047,11851495,11210951,11210952,16029587,16029606,11851023,11851022,11851397,7920982,7920980,11851385,16933380,22237233,16102110,11184559,11184558,11185075,11185080,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597 Dl.O(d2) = 17129372,17129371,23203279,23203278,22287679,22287678,23204170,16933983,11851819,7921258,5036033,3049169,3049170,5036040,7921268,5179755,3160442,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129391,23402006,25289878,25289876,33015037,38205355,38205354,29639838,22288335,16144612,11216099,11216100,11216119,11294561,7498830,4740204,2856766,2856767,4740207,7498835,11294571,16245251,15521247,15521222,15521221,16142551,16142550,16143607,16245652,11294532,11294533,16245656,22408952,29637838,22286091,16142408,16142407,16142417,16142416,22286101,22286968,16143139,16143137,17110586,12024120,8083853,8083851,8093020,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740033,7498568,11214575,8083503,8083502,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1850126,3160429,5036186,5036185,7921526,11852169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7926336, s2 = 467549, dlinesl.size( ) = 2 s1 = 7926336, s2 = 467549, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7926336, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 10145158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9385904, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7938363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7871295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10149769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13168577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6490067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490067, s2 = 7812700, int(edited[s2]) = 0 s1 = 6490067, s2 = 7812700, d1 = 8, d2 = 57 Dl.O(d1) = 255142517 Dl.O(d2) = 16992766,254131190,254258166,11897040,7955726,7955727,11897044,16981140,17004709,16985094,11932783,8352981,8352980,11888261,7997511,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337362,16982051,11895755,11895754,7956962,5060988,5060987,7570357,4787605,2885694,2885693,4787602,7570350,7570359,7570327,6427950,4032761,4032758,6427943,9776151,14220189,19848506,16969187,11881225,11881224,7957107,5061057,5061055,7957101,5080269,3081337,3081336,5080265,7982268,11928888,17014043,17528594,17528595,23376839,254822596,17521693,12356253,8348285,8348283,12356247,11690193,11690191,12357856,12357857,12356230,12356231,11935024,11935025,15236334,254570444,8041909,6000502,6000503,9168009,13409528,11253749,11253750,15654194,255144454,8185330,5254714,5254713,8185328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490067, s2 = 7812700, dlinesl.size( ) = 2 s1 = 6490067, s2 = 7812700, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6490067, Dl.E( ) = 60, 2.5e-05 seconds used appending s1 = 7978331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7978331, s2 = 6660663, int(edited[s2]) = 0 s1 = 7978331, s2 = 6660663, d1 = 1, d2 = 1 Dl.O(d1) = 3384462,1993298,1139092,254106807,354860,639073,1139089,1993291,1593732,1593733,2749635,2046571,1173517,658753,365146,199705,199704,255553365,8263706,5331561,3277163,3277164,4933327,4933324,7783027,11674086,16173982,12289076,8318083,8318082,7454386,4709935,2837338,2837339,4709939,7454391,10401865,254869263,5528316,254278295,2015162,2037255,2037254,3442103,4711594,5555004,5555005,8398294,12425831,12578262,8568118,8498671,5500232,3389875,3389873,4055236,3435561,2032258,1163933,653150,362159,198221,108043,108044,198226,362173,653174,546132,305874,169262,169265,305890,546163,653705,653709,368744,368745,651808,653738,267756545,3419554,2019280,2019279,3419552,3415917,3395562,3395563,5506844,5490335,5490334,8489289,8497575,5516145,3403121,2006849,2006842,1147343,1147342,1147808,1147807,2007504,3403954,5517102,5545676,8547273,8543552,5541331,3426627,3426628,3439852,5483071,267894397,2910914,1688692,1688691,2910911,4830748,4830747,7635842,11480729,16477703,16477708,17037802,11951679,8000470,5093068,3090920,3090921,5093070,8000475,11951684,16477710,11480733,7635845,4830751,4830752,7635848,11480740,11480727,254541445,268948444,22674289,17037800,17037801,23297820,30714769,30714771,257021791,270846796,30049931,255487511,11480738,11480737,16477715,22674309,30049929,30049924,30049925,30049926,30049927,38623707,256970471,38623703,48538456,257551321,72671183,59931442,258160289,270854617,72671188,72671048,72671047,59931445,48538462,38623708,38623709,48538464,48538384,38623656,30049896,30049897,38623659,48538391,59931350,48538403,48538404,59931343,59931342,72671051,59931363,59931362,72671069,86271074,72671190,59931446,258160291,258160275,59931347,258160273,59931341,59931346,59931345,72671053,86271076,100236308,100236320,100236319,270854619,86271279,271348895,78264262,64990702,64990701,78264260,92291305,100236303,100236557,100236325,100236306,100236305,86271094,86271093,100236324,114268370,114268637,128153338,120837898,120837899,120837895,120837883,120837882,106589551,106589553,120837894,134634963,147765610,160029357,171265735,171265744,160029364,160029363,147765619,134634951,120837886,120837885,134634950,147765617,147765629,134634961,134634960,272223873,114268367,114268366,261203885,154175960,165935539,176582269,273555833,183089871,181302240,181302236,181302235,176582273,176582274,183089876,183089877,191698044,191244324,186004458,176582279,176582272,165935543,154175964,141512030,141512031,154175965,273555831,183089878,183089872,183089873,191698038,191698043,183089875,173239649,263015769,191698040,263588352,183089868,173239638,173239639,162140569,149929074,149929075,162140570,272881210,149929077,136793478,122963279,108698332,94411454,94411455,108698334,122963282,261538673,149929068,136793463,122963269,122963270,136793465,136793470,122963272,122963271,136793455,136793454,149929062,262563365,262291238,136793449,136793448,122963259,122963260,261233094,122963277,136793476,262070185,262186666,149929060,260540538,260973839,108698315,94411456,80357446,258193672,43932546,256460770,255515226,267985670,6428627,254965543,19851453,26667171,256726371,54674951,54674952,257888375,259136329,80357426,258816890,257585750,34659251,26667162,268539175,257290093,269174369,66931492,80357408,94411425,108698307,109369940,95116159,256971982,67591240,55249686,44401852,35026472,35026471,35239129,38408128,29835943,22468889,22468890,29835944,38408130,269804106,48177031,38267397,38267398,48054532,38140946,38140945,31716582,24208822,24208823,21223533,255818121,22227386,22227389,29574584,37101362,42806874,33774503,25964832,25964834,25964772,19298853,19298852,25964771,22315089,19298867,19298869,254881520,29574478,29574477,37055997,28555427,21343067,15368276,10618739,10618738,15368271,21343061,28571040,35301337,35301336,28419394,21197003,21197004,28419398,21329958,15357618,10610126,7000960,7000961,10610128,15357623,17894153,24273999,28570976,37073989,46954168,58321320,51801603,257052694,24967408,24967410,32637404,33712521,37380004,28839837,256337047,47289447,47289401,37379969,28839806,28839805,37379966,47289397,42054778,33105585,25370614,25370613,24006175,24006173,31504994,40190063,31504979,31504980,40190067,50212030,61693763,57800440,52398753,52398752,63212986,70501271,57800432,46445104,46445103,44496776,36579883,36579879,28107779,20931319,15023308,10351184,6815904,6815903,10351182,15023302,20931306,28107757,36579837,46445073,46445040,36579816,36579815,46445039,47753484,46445095,257398219,70501259,84035946,74249995,257681533,50448674,61940003,61940025,61471761,49994317,39978137,31303275,28860338,28860337,37401727,47310833,58700858,58701131,58701132,58700902,47310890,47116552,47116554,58494945,48515860,48515862,46434118,36569545,36569544,46434116,53127406,48199116,48199117,58494914,47116521,47116520,58494913,65051465,71216747,256309870,48515929,46338907,36482850,36482848,46338903,57686051,70378140,83902591,85006879,76982492,72172446,59433793,58701103,47311119,37401692,32192568,256309866,46379218,38868815,38868814,36519951,36519950,30291241,30291242,38877135,48799472,48194555,46379229,36519948,36519949,46379234,50293216,46335488,46335489,46379266 Dl.O(d2) = 3384462,1993298,1139092,254106807,354860,639073,1139089,1993291,1593732,1593733,2749635,2046571,1173517,658753,365146,199705,199704,255553365,8263706,5331561,3277163,3277164,4933327,4933324,7783027,11674086,16173982,12289076,8318083,8318082,7454386,4709935,2837338,2837339,4709939,7454391,10401865,254869263,5528316,254278295,2015162,2037255,2037254,3442103,4711594,5555004,5555005,8398294,12425831,12578262,8568118,8498671,5500232,3389875,3389873,4055236,3435561,2032258,1163933,653150,362159,198221,108043,108044,198226,362173,653174,546132,305874,169262,169265,305890,546163,653705,653709,368744,368745,651808,653738,267756545,3419554,2019280,2019279,3419552,3415917,3395562,3395563,5506844,5490335,5490334,8489289,8497575,5516145,3403121,2006849,2006842,1147343,1147342,1147808,1147807,2007504,3403954,5517102,5545676,8547273,8543552,5541331,3426627,3426628,3439852,5483071,267894397,2910914,1688692,1688691,2910911,4830748,4830747,7635842,11480729,16477703,16477708,17037802,11951679,8000470,5093068,3090920,3090921,5093070,8000475,11951684,16477710,11480733,7635845,4830751,4830752,7635848,11480740,11480727,254541445,268948444,22674289,17037800,17037801,23297820,30714769,30714771,257021791,270846796,30049931,255487511,11480738,11480737,16477715,22674309,30049929,30049924,30049925,30049926,30049927,38623707,256970471,38623703,48538456,257551321,72671183,59931442,258160289,270854617,72671188,72671048,72671047,59931445,48538462,38623708,38623709,48538464,48538384,38623656,30049896,30049897,38623659,48538391,59931350,48538403,48538404,59931343,59931342,72671051,59931363,59931362,72671069,86271074,72671190,59931446,258160291,258160275,59931347,258160273,59931341,59931346,59931345,72671053,86271076,100236308,100236320,100236319,270854619,86271279,271348895,78264262,64990702,64990701,78264260,92291305,100236303,100236557,100236325,100236306,100236305,86271094,86271093,100236324,114268370,114268637,128153338,120837898,120837899,120837895,120837883,120837882,106589551,106589553,120837894,134634963,147765610,160029357,171265735,171265744,160029364,160029363,147765619,134634951,120837886,120837885,134634950,147765617,147765629,134634961,134634960,272223873,114268367,114268366,261203885,154175960,165935539,176582269,273555833,183089871,181302240,181302236,181302235,176582273,176582274,183089876,183089877,191698044,191244324,186004458,176582279,176582272,165935543,154175964,141512030,141512031,154175965,273555831,183089878,183089872,183089873,191698038,191698043,183089875,173239649,263015769,191698040,263588352,183089868,173239638,173239639,162140569,149929074,149929075,162140570,272881210,149929077,136793478,122963279,108698332,94411454,94411455,108698334,122963282,261538673,149929068,136793463,122963269,122963270,136793465,136793470,122963272,122963271,136793455,136793454,149929062,262563365,262291238,136793449,136793448,122963259,122963260,261233094,122963277,136793476,262070185,262186666,149929060,260540538,260973839,108698315,94411456,80357446,258193672,43932546,256460770,255515226,267985670,6428627,254965543,19851453,26667171,256726371,54674951,54674952,257888375,259136329,80357426,258816890,257585750,34659251,26667162,268539175,257290093,269174369,66931492,80357408,94411425,108698307,109369940,95116159,256971982,67591240,55249686,44401852,35026472,35026471,35239129,38408128,29835943,22468889,22468890,29835944,38408130,269804106,48177031,38267397,38267398,48054532,38140946,38140945,31716582,24208822,24208823,21223533,255818121,22227386,22227389,29574584,37101362,42806874,33774503,25964832,25964834,25964772,19298853,19298852,25964771,22315089,19298867,19298869,254881520,29574478,29574477,37055997,28555427,21343067,15368276,10618739,10618738,15368271,21343061,28571040,35301337,35301336,28419394,21197003,21197004,28419398,21329958,15357618,10610126,7000960,7000961,10610128,15357623,17894153,24273999,28570976,37073989,46954168,58321320,51801603,257052694,24967408,24967410,32637404,33712521,37380004,28839837,256337047,47289447,47289401,37379969,28839806,28839805,37379966,47289397,42054778,33105585,25370614,25370613,24006175,24006173,31504994,40190063,31504979,31504980,40190067,50212030,61693763,57800440,52398753,52398752,63212986,70501271,57800432,46445104,46445103,44496776,36579883,36579879,28107779,20931319,15023308,10351184,6815904,6815903,10351182,15023302,20931306,28107757,36579837,46445073,46445040,36579816,36579815,46445039,47753484,46445095,257398219,70501259,84035946,74249995,257681533,50448674,61940003,61940025,61471761,49994317,39978137,31303275,28860338,28860337,37401727,47310833,58700858,58701131,58701132,58700902,47310890,47116552,47116554,58494945,48515860,48515862,46434118,36569545,36569544,46434116,53127406,48199116,48199117,58494914,47116521,47116520,58494913,65051465,71216747,256309870,48515929,46338907,36482850,36482848,46338903,57686051,70378140,83902591,85006879,76982492,72172446,59433793,58701103,47311119,37401692,32192568,256309866,46379218,38868815,38868814,36519951,36519950,30291241,30291242,38877135,48799472,48194555,46379229,36519948,36519949,46379234,50293216,46335488,46335489,46379266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7978331, s2 = 6660663, dlinesl.size( ) = 2 s1 = 7978331, s2 = 6660663, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7978331, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11655878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655878, s2 = 14294849, int(edited[s2]) = 0 s1 = 11655878, s2 = 14294849, d1 = 10, d2 = 34 Dl.O(d1) = 38212082,48122295,49812841 Dl.O(d2) = 854492,482592,271570,254097553,854491,1507075,2610643,4357433,2610560,254158263,482560,271553,271552,482556,853406,481982,271249,150373,150369,271241,481964,853372,1505288,2608129,4354245,6930301,10509589,15234771,10954364,7250235,7250236,5174616,3156063,1847039,1847040,3130796,1830234,1830235,1816465,1816467,3108547,5117596,3130758,1830216,1044579,1044578,1830213,3130753,5145732,8033199,8033198,254340898,5227079,8017713,5106293,3100041,3100040,1827502,1827501,254258563,1051714,1051715,1842808,1842807,3149834,5167606,8032163,5158949,3142382,3142381,5153954,8061458,8015765,5104119,254566867,255144591,3115214,3115215,5126192,254564556,3100139,1811304,1034439,1034437,1811297,3100125,5106393,3154295,3154294,2866478,1663699,1663697,2866468,3158920,1849123,1849125,3131294,1830525,1044728,588061,588064,1044738,1817797,3110749,5120497,5150430,5150429,8024331,8024332,5233570,254261535,599520,254088661,100721,55555,55556,100723,183795,334054,599535,1066605,1869767,3194297,3194313,3140065,1836268,1047885,589594,328962,328961,589588,1047874,589599,589597,1047844,254178277,3139971,5156373,8063314,12006813,267990275,254825197,255139768,11973650,8064474,5157830,3141341,1837134,1837133,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314636,561873,590138,1048999,1838164,1845852,1847931,1847932,1810477,1034008,1034005,1810464,1867605,3155540,5174007,4755345,4755346,3137509,1834515,1834514,3123973,267902683,5170905,5170904,8016875,5105319,5105320,254578037,8048335,5229585,5229584,254443662,5150204,5121637,5121635,5156931,7406947,4679902,4679900,5122228,3112041,3112040,5122218,5122264,3112063,1818579,1818580,3112069,5122238,5101256,5101237,3096432,1809215,1809218,3096441,3153166,3153165,5168446,3156413,1847301,1847300,3156407,5175029,7525354,7525353,4759369,267795086,11329104,8054174,8054173,8061493,5154013,5154012,8061492,7406753,7406751,8056708,8034976,5124710,5124711,5159233,5159234,5150259,5150258,8016908,8016907,11972362,12125313,11325302,8057349,5148724,5148723,254259191,1814542,1036143,583746,326248,326247,583742,1036128,1814493,1822043,1866544,1815341,1036584,583953,583955,583893,326310,326309,583891,1036464,1815086,1036442,583880,583879,1036439,1815082,1045484,1045485,1831913,1814447,1036099,583729,583730,1036103,1814456,3105299,3121905,1824695,1041551,586458,327528,327526,586452,1041541,1824675,3121880,5134688,5176747,8081114,8048374,5138589,5138590,3132591,3132595,5147967,7529915,5151886,3136042,3136043,3153691,1845345,1053068,1053067,1845343,3153686 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2548983, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8140695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6429630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6429630, s2 = 15097958, int(edited[s2]) = 0 s1 = 6429630, s2 = 15097958, d1 = 2, d2 = 18 Dl.O(d1) = 254273604 Dl.O(d2) = 254369382,11328593,16286446,17091231,23350318,28152437,36578262,30296660,29195503,23350326,23256969,22898766,22898767,30297163,38882625,38564512,38564511,30296931,22898463,22898462,30296929,38882515,38882521,38394703,30672477,23256536,23256538,29419090,22969256,22954570,22954569,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676495,16718331,16956018,23229117,23267499,17003502,17003503,16261058,16261057,16732196,22967975,30369450,23343492,17077341,17063824,11972228,8016693,8016694,11972234,11977747,17067480,22967986,22967984,28588257,23256433,23256432,30356237,23327577,23327576,17102906,17102905,21599495,21599494,254252458,8164076,8164077,12133910,15571707,10770986,7116661,7116662,10770988,11915587,7970686,7970684,10770295,10770294,11920977,254252290,16348030,11375596,11375599,10749478,7557363,7557364,4780425,2880767,2880766,2687035,2687033,4472443,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372219,9966479,6550207,4103511,2454524,1418855,807111,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609713,7305280,7554243,11370960,12200477,12200478,16340972,11375439,11375440,8344198,8344200,9108581,9108580,8212051,8212050,12180286,17302345,16347975,11375531,7557345,7557346,11375533,12218606,12218605,17345255,23662319,22524558,22524557,23633765,23633766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6429630, s2 = 15097958, dlinesl.size( ) = 2 s1 = 6429630, s2 = 15097958, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6429630, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 10347038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162066, s2 = 14165487, int(edited[s2]) = 0 s1 = 14162066, s2 = 14165487, d1 = 2, d2 = 1 Dl.O(d1) = 173467946,162425208 Dl.O(d2) = 26893919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162066, s2 = 14165487, dlinesl.size( ) = 2 s1 = 14162066, s2 = 14165487, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162066, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13405409, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13254969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145198, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 323248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 323248, s2 = 14226475, int(edited[s2]) = 0 s1 = 323248, s2 = 14226475, d1 = 0, d2 = 9 Dl.O(d1) = 8085327 Dl.O(d2) = 17115291,12027392,12027391,17115289,23384609,30813533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 323248, s2 = 14226475, dlinesl.size( ) = 2 s1 = 323248, s2 = 14226475, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 323248, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 1058769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1058769, s2 = 6496230, int(edited[s2]) = 0 s1 = 1058769, s2 = 6496230, d1 = 45, d2 = 7 Dl.O(d1) = 27010985,20119105,14428367,14428368,12913900,8784658,8784657,12913897,18207201,24670378,32278423,32985148,25261680,25261679,32985145,35097354,40889891,40889892,51027258,51038921,42000611,33057197,257628308,39752187,31074543,31074542,30845759,30845760,255125564,23415738,23005912,23005913,30410718,28422207,28422209,30847132,23416895,17141051,17141052,23416901,23543979,23543978,29517233,29637348,22285629,16865981,16865983,17139812,17139813,23381305,17110974,13372913,13372912,18777503,22107132,23415692,30845736,23416849,17141020,12046577,8098856,5188661,5188660,8098851,8098034,5188072,3165211,1852893,1057478,1057477,1852890,3165205,5188060,8098011,12045479,17139643,23415357,30845378,30410721,30410722,38999789,30845314,23415308,17139607,12045457,12045458,17139612,23415314,30845322,30845645,30845085,23415631,17139837,12045617,8098088,5188094,5188095,8098094,12045625,17139846,23415638,22107073,22107075,29440447,38003481,30845149,23415176,17141009,12046571,12046569,17139828,23415609,30845445,30845448,39449649,39449793,30845636,23415567,23415565,30845631,36648535,36648536,46515742,49377621,60322182,48923748,48923747,49377689,49377691,49058491,47919357,39449645,39449644,38003582,38003581,39449320,268199964,23415144,23415332,30845077,255536113,17139485,23415137,30845070,39449307,39416342,39416343,43929157,34656278,26664730,26664729,29440582,38003614,38003494,29440463,23002734,23002735,30407642,38996768,39449798,49377598,39449325,39449326,49377591,47919301,47857425,37937545,29371144,29371145,37937549,41603647,41603646,49377595,39449429,37479843,30845217,30845216,39449339,30845102,30530144,30530146,31236204,23753086,17427186,17427185,23753083,31236198,36648678,46515809,54671383,43929190,43929189,39128474,30530060,23111943,23111942,30530056,39128471,37479857,37479858,47387496,47387487,37479848,28937815,28937817,37479796,31236376,23753224,23753226,31236382,39911814,49930259,47387412,37479729,37479730,47387415,49930198,43862810,34592367,34592366,43862806,54605731,54671189,54671274,43928947,34655827,34655828,30529981,23111892,23111893,23753029,31236138,23753183,17427254,17427205,12283191,8295332,8295333,12283197,12283210,17427221,23753139,31236277,31236392,28918286,28918285,37457582,31236207,31236210,28918353,21643532,15611331,15611332,21643525,21659164,15623265,10809741,7142837,7142836,10809738,15623256,21659148,28937741,28918299,28918300,31236108,23753169,21643362,21643363,28918092,37457430,37937517,34655823,31236130,23753021,17427145,12283165,12283167,17427151,23753040,17427270,12283229,8295350,5351472,3288960,3288961,5351480,8295360,12283241,17427288,14220637,9776414,9776415,14220643,19849146,14220763,14220761,19849333,26664442,28918345,28918346,37457643,37458166,37458177,37457444,28918115,268043398,28937760,37457659,28918362,21643541,21643542,28918076,28918075,28937725,37457414,37457438,47363453,37458287,28918954,21643921,21643920,28918952,31236120,23753035,23753034,17427233,17427234,23753062,17427173,12283177,8295326,7136666,7136663,10801043,15611542,21643960,26664235,26664233,26664249,23753215,23753217,26664446,30017281,37457409,37479776,37458190,28918840,28918820,28918819,28918824,28918121,21643384,15611235,10800858,7136572,7136573,10800861,15611240,10800893,10800894,15611217,21643356,28918081,37457405,28918272,21643932,15611528,10801035,10801036,15611531,21643939,28918968,31236288,23753145,23753147,31236295,28918983,28918982,32667047,24991579,24991580,26366233,21821701,15755217,10911348,10911349,15755219,21821705,29128479,37690556,47615542,269002212,65933598,65933597,79296189,92521214,78481505,65197233,65197232,71763618,59019580,47615525,37690544,37690543,47615521,40021110,40021111,50040787,258260309,85433698,79296197,65933607,53867020,256706463,255716517,268322661,43342594,53867010,59019585,59019584,65933601,65933602,79296194,93423856,107847772,258255650,133809302,143098453,129767957,115868671,101822347,87848373,74243965,270384203,101822344,115868670,129767956,143098447,155649779,155485518,142908033,142908032,155485514,155513933,155485512,155485511,142908036,129592242,115740175,257633930,101695134,258243188,87690555,87690554,101662146,115706258,101662124,101662123,101695127,115740173,129636787,115740183,115740184,128207234,114324030,100293366,100293368,114324035,101662136,87690545,74083591,61302470,61302471,74083593,87690547,101662138,115706269,101695131,87721647,74116157,74116158,87721650,87721641,87721640,258243186,74083603,257633932,87721655,256000024,39827440,39827439,255549854,74116160,87721653,101695136,114324037,100293372,86330936,86330937,100293374,101662139,115706271,115706261,101662132,87690543,74083589,74083578,61302463,61302464,74083582,87690535,101662126,257051250,256000020,49850916,49850917,60696918,49295534,39368167,30766581,30766582,23635780,23635778,31121868,39802058,49822757,61302477,74083604,86330939,72733126,59995691,48603880,48603881,59995700,269824576,72733091,59995709,48603886,48603885,59995708,72733141,72733142,257555868,73528854,73528846,60781015,49379841,255490926,23417194,23417195,30847444,39451690,48603863,59995669,59995694,269354112,48346564,59730394,59995682,257555861,48603840,268948349,38444548,48346570,39451694,255932780,59995642,72733088,86330915,72733140,258788443,100293380,100293382,87147729,73528856,73528855,87147728,101145800,101145795,258164762,73528853,60781019,49379846,39451686,39451687,48603869,59995675,72465880,59730409,59730408,59995693,72465883,72465884,72465859,59730392,48346563,38444543,29888469,22534340,16360819,16360820,22534343,29888476,38444553,48346579,59730403,72465873,86063889,100026956,112973524,126827241,271779227,98984692,98984691,112973526,100293377,86330942,72733128,72733127,85060021,72733084,72733085,86330912,73528850,60781017,268956080,258788440,86063894,100026945,86063871,72465851,59730387,59730388,72465853,269345409,48346576,59730416,59730405,59730406,72465878,86063892,98984689,85060026,258075257,58759646,71488776,85060029,98984696,112973529,100026950,86063873,72465855,72465856,86063876,100026955,114054243,115222781,101145796,87147722,87147723,86063867,72465848,59730385,59730384,258769365,85060091,71488836,71488835,85060088,98984702,98984697,98984698,258769369,72465889,71488827,71488826,71488820,258699243,58759648,47372934,47372935,58759650,58759641,47372930,47372931,58759643,71488770,71488773,71488774,58759686,58759687,71488834,258699263,71488853,85060082,71488829,71488830,85060083,85060036,258075259,58759653,71488784,85060040,85060074,71488824,71488825,258075263 Dl.O(d2) = 255223031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1058769, s2 = 6496230, dlinesl.size( ) = 2 s1 = 1058769, s2 = 6496230, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1058769, Dl.E( ) = 54, 4.89e-05 seconds used appending s1 = 6490587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490587, s2 = 671628, int(edited[s2]) = 0 s1 = 6490587, s2 = 671628, d1 = 3, d2 = 5 Dl.O(d1) = 255149797 Dl.O(d2) = 17144417,18843264,25439614,26622281,31487001,30656128,23234915,16962448,16962449,23234920,18818993,13407000,9166234,5999420,5999421,9166236,13407005,18818999,25409913,33150452,38449386,38449387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490587, s2 = 671628, dlinesl.size( ) = 2 s1 = 6490587, s2 = 671628, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6490587, Dl.E( ) = 12, 2.19e-05 seconds used appending s1 = 6490603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 923381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6715427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6715427, s2 = 11070166, int(edited[s2]) = 0 s1 = 6715427, s2 = 11070166, d1 = 14, d2 = 21 Dl.O(d1) = 257643458,25787785,19142999,17155399,12058867 Dl.O(d2) = 91716044,91716045,77788238,64605323,52704790,42317571,42317570,52704786,270000243,260844496,257763540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715427, s2 = 11070166, dlinesl.size( ) = 8 s1 = 474969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 324784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13289011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9477934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10158924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158924, s2 = 11656139, int(edited[s2]) = 0 s1 = 10158924, s2 = 11656139, d1 = 10, d2 = 12 Dl.O(d1) = 23033996,16790419,11739985,7838245,7838244,11739981,254796150,11109442,11109441,11109702,7368307,4654806,2804219,1626790,1626789,2804212,4654789,4873204,4873207,7699790,255939175,255685052,257427454,21473859,20143947,268549989,40083200,31402574,23910531,17567200,12395726,8377097,5406266,3323627,1954824 Dl.O(d2) = 6422067,6422068,9767689,14208598,12407876,12407875,17579906,23905536,23905535,23716876,23716875,30574797,31213233,31212884,23806702,17546474,12376806,8363559,5398173,3319316,1952648,1115649,1115647,1952642,1954690,1954682,1116662,1116661,1954680,3323336,254596111,255179171,255569034,20892749,20892746,255002325,4256712,4256714,4301531,2571771,1480600,1480601,2571776,4301519,4301559,4301560,2571827,2229002,1292673,829129,467860,467864,829138,1465256,2543278,4254281,6786296,254388743,254179837,597085,332808,332810,597056,1061948,1061377,267796925,254830615,255540779,30785843,23360651,17091911,12004707,8059870,8059871,12004709,17091914,13346220,9119505,254441807,2951421,2951422,4897259,7735116,11053971,7329475,4630148,4630146,7329472,11053973,15930816,11434237,7602300,7602301,7730066,11557033,11554360,7688229,4865063,2956879,2956880,4905914,7747122,9854209,9854208,14343153,16571562,11552571,7686626,7686625,7613480,7613482,11447800,16417037,16412121,11427858,11427859,7616777,7616774,11451481,11563439,7696109,7696108,4870644,4870641,7696120,11412949,15021725,256280901,11394890,11394889,16373367,255917697,29905990,38463258,29905989,22549839,22549840,29905990,32974247,25251585,18680731,13287873,9070842,5931563,3708854,2223468,2223467,254439573,6800396,6800398,4264566,4264563,6800405,10332314,9077213,5936345,5936347,9077220,12665709,12112459,8144054,5217062,5217063,8144056,12112461,17182748,17881402,262263227,258157892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158924, s2 = 11656139, dlinesl.size( ) = 2 s1 = 10158924, s2 = 11656139, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10158924, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 11656140, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7566738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7566738, s2 = 10228374, int(edited[s2]) = 0 s1 = 7566738, s2 = 10228374, d1 = 118, d2 = 155 Dl.O(d1) = 268104740 Dl.O(d2) = 49449465,39517514,39517513,30908601,23473196,23473195 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7875069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13281273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10141065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 328400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 328400, s2 = 1186126, int(edited[s2]) = 0 s1 = 328400, s2 = 1186126, d1 = 0, d2 = 7 Dl.O(d1) = 8239062 Dl.O(d2) = 30105542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 328400, s2 = 1186126, dlinesl.size( ) = 2 s1 = 328400, s2 = 1186126, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 328400, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 678741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7945444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7945444, s2 = 7989295, int(edited[s2]) = 0 s1 = 7945444, s2 = 7989295, d1 = 16, d2 = 23 Dl.O(d1) = 257670682,256540194,268658387,16892544,17800622,17800617,17765846,17765849,17711631,17711632,12585996,12585995,17783287,17742131,12553618,8511412,5511018,5511021,8511419,12553632,17742144,17720635,12536910,12536914,16579538,12561238,8516627,8516629,8549712,12598657,16894769,17449470,12300525,8511207,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,5339348,5339443,3282020,3275346,3275348,5328550,4868650,4868654,5328748,5328749,8259597,12232107,12554233,8511814,5511258,5511259,8511817,12554239,17742982,17775764,17775765,24140048,31646497,37370233,28830322,21559505,15538604,15538603,21559504,28830321,28348298,21135239,21135240,26650258,19836603,14210635,14210634,18931675,17462295,17462296,23156181,23156182,30028428,254613764,31577324,254192594,17715341,24071619,24134687,254213116,14125531,19700657,17770133,12575402,12575386,8528909,8528915,12575398,16612758,17803272,17786721,17786720,24153914,31578108,24072405,17715979,12532591,12532592,8540985,5538892,5538889,8540971,12589014,17786745,267802290,24163962,31601385,40286373,254417246,31169988,23681885,23681886,17799861,17799862,24167525,254559186,22437791,16270448,16270447,13358299,13358300,13202984,13202986,12598396,12598397,13443206,18866321,18863077,18863078,25463293,25463292,26440968,254444580,18759808,23406539,20151213,20151212,14456346,9945604,6536602,6536606,6536582,6536581,6536480,4095374,2450098,2450097,4095466,6536658,9945695,14456469,20152381,27044807,30538246,39137290,30538239,30538240,27042264,20149432,14454157,14454158,20149435,27042268,33213462,29665407,29665406,23040739,16795843,16795842,23040734,28360045,36858042,40387868,31695626,24187845,24187846,31580316,24074668,24074666,31580312,40267363,268085568,35130150,27044609,27044608,35130149,254870040,29665905,29665906,34321190,26444249,19705163,14128906,14128907,10898447,7208060,7208057,8727081,12834525,255087114,268117890,14332094,20011774,22510375,20011857,14332144,255164298,8315302,12310944,17462784,21797917,18833858,15734575,15734576,10898311,10898314,15735811,21794910,28755490,28755492,31184073,28267990,21065286,15131227,15131228,21065287,28267992,29667473,31284095,23811626,17477769,12322600,12322599,17477767,267799136,17377096,12245219,8270318,8270319,12245221,12245262,15489794,254105428,8265940,5333226,3278239,254398617,8265937 Dl.O(d2) = 31184511,39866936,258246030,31184510,256003068,17372457,256004143,257055573,31184510,256003068,12240404,12240403,17372455,17372458,17372459,257629044,7556176,4778099,4778100,7289166,4596573,4596572,7289164,11011002,254353242,7327213,4628144,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7103242,4472183,2687147,1556528,884908,499273,279984,154550,154548,279975,499253,884854,1556410,1556440,2686966,4472318,7064093,4447689,2672080,2672079,4447684,4776723,4776783,2881218,2881213,4780927,7560867,11380442,14980291,10312516,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068655,9068657,10277663,10263005,10263003,12411012,10255185,6738694,6738695,10255191,14597834,13298144,9079912,9079913,13298147,14611964,14611965,20355982,27290457,22725086,22725087,30106313,35097309,32971837,25249561,18678826,14949044,10283270,6758876,6600723,4135237,2473677,1429909,813472,461126,461127,813445,1429843,2473541,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514228,14928280,10265338,6745370,6745373,7933712,10046649,6602041,6602042,10046638,14600725,11508667,7655997,7655996,6837659,254325659,2565024,4290242,6837649,10376970,15050705,20959981,28138027,254708514,11346623,11346624,16307948,22478753,29845070,38415112,48324977,58262383,46895539,37016949,28518814,28518815,30166360,29879998,22523845,16350774,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459207,16308708,16308713,16308752,16308778,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556077,9966950,9966947,14485810,20188183,17259758,16356850,11382961,7562583,4781987,2881639,2881642,4782000,7562604,11382994,15546181,10753578,7104545,7104546,10753582,12153999,8184474,8184471,12153990,11358404,7546408,7310087,7310088,10588069,11468354,7628366,4826396,2908496,1687326,959604,540896,540897,959611,1687342,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4780051,4780052,4780044,4780047,5257758,5257999,5257997,7310446,5385507,3311672,1948258,1948257,3311668,4608943,4776056,7546311,11035206,7309937,7309935,7307858,4773460,4773461,7363618,5261326,3216601,1884524,1884522,3216594,3227169,5272858,7549901,4774609,2877987,1670324,950397,950399,1670307,2877953,4774932,4781804,4781807,7562298,11361054,11361055,12171878,12171825,11363060,7549381,4774346,4774347,7549385,8188241,8188244,11359986,7547366,4773314,4773316,4776052,2878558,1670610,1670609,2878552,2878590,2878589,4776127,7547494,4773376,4773378,7547498,7549983,7549986,11364064,16333509,16340398,16340197,11369225,7553167,267891794,22513883,23573429,23653659,17336643,16788205,16788206,22509558,22509556,29868886,29880482,29867727,29867728,254357482,16786568,15156684,10452785,10452784,15156681,21100458,28310497,23134515,17300210,17300211,254181864,10781342,10781341,15585150,16803986,16803987,21614410,15584983,10781204,7123624,4485210,4485208,7123611,6890429,6890430,10452745,11358900,7546714,4772948,4772949,7546724,11358921,16327021,11737123,11737124,11332389,11332390,7550810,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,9501966,11026398,11026396,15905015,21466381,255837679,255845554,21066269,15132007,15132006,15852071,15852070,20012265,20011804,14332108,9845446,9845448,14332113,20011814,23693004,28268215,28268214,24166230,21065519,21065520,15131425,15131426,15131444,20310232,15737836,15737834,12241704,12241705,12677532,12677534,11239302,7459710,7459709,7459765,4713745,2839675,1647238,1647241,2839691,4713776,7459826,11239485,14169237,15739552,15739678,21799510,23301341,23301340,29095431,21797921,15738359,10899945,7208878,7208877,10899949,15738366,254184598,14575183,20309974,16546302,16546304,21062477,21062478,28265168,36761017,36761910,28266103,21063377,15129798,10435381,6879556,4318401,4318404,6879564,10435391,268910459,270281379,271760735,152040412,263477805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7945444, s2 = 7989295, dlinesl.size( ) = 2 s1 = 7945444, s2 = 7989295, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7945444, Dl.E( ) = 24, 1.6e-05 seconds used appending s1 = 10138733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7998948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 681166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 483354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10172640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6424472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10186044, s2 = 10192433, int(edited[s2]) = 0 s1 = 10186044, s2 = 10192433, d1 = 12, d2 = 9 Dl.O(d1) = 93389172,107811484,122217599,132630768,118811614,118811613,118811658,118811626,104630683,90466786,76608437,76608438,79262631,65900340,65900338,79262628,93388669,93388481,93388480,104630701,90466812,90466813,104630707,93388713,79262123,79262122,93388709,107597641,107597647,107811057,107810997,93388420,93388419,79262127,79262126,93388718,107811213,107811138,93388582,93388583,90466803,90466804,79262175,79262144,79261963,79261962,79262044,79262042,79262662,93389178,107597660,107597661,107811245,93388761,79262168,79262167,90466791,76608442,63528906,51750631,41481068,41481067,51750627,63528902,76608433,90466775,93197519,79082494,65727052,65727051,79082502,79262119,79082486,255715134,93389133,79262612,65900325,65900324,79262609,93389146,90466836,76608485,76608484,89864261,76608394,63528865,51750597,41481054,41481055,51750602,63528868,76608399,63528874,53670711,43159768,34075956,34075957,34209270,43307833,53832938,53833020,43307892,43307891,53832181,43307874,43307875,53832982,53832983,65900197,79262491,79082429,65727004,53670673,43159742,43159743,53670678,65727008,79082434,93197448,93388973,79262358,79262360,79262616,269142896,53833103,65900329,79262149,93388741,89864265,76068900,63528848,63528847,53833036,53833037,51750592,51750591,63528856,76608385,65900156,53832950,43307845,34209276,26335418,19607212,19607213,14049760,14049762,19607222,26335430,34209298,43307898,53832163,53832164,65899243,74972148,79262487,93389051,93197440,79082423,65726996,53670670,53670671,53833080,53833079,65900294,65900083,53832863,43307769,43307768,53832857,65900076,60421925,60421926,73168618,86781252,89864268,76068908,63072920,63072919,76068904,63072934,63072933,63528852,63528850,76608381,90466747,102619945,88613676,74971772,74971773,74971764,74971765,65900087,53832869,53832868,43307879,43307880,43307888,50651487,40601548,40601549,50651489,62160544,74972154,88614056,102620218,93197437,79082418,73168235,73168236,65900303,65900302,65900118,53832891,43307779,34209212,34209211,43307773,53832879,49018016,49018015,60421928,73168623,63072928,51383980,41193223,32374388,24755526,24755527,32374393,41193229,51383987,63072939,76068927,88613679,74971780,62160227,50651236,50651234,62160222,74971769,88613673,79262526,65900235,63072972,63072973,63073025,51384054,51384053,63073020,73168436,73168435,86781089,100761714,86780864,73168240,60421595,60421596,73168244,79262584,79262388,65900108,53832884,53832874,53832875,60421942,49018025,39088266,39088268,49018035,60421956,51384018,41193246,32374402,24755535,18280208,18280210,24755541,32374413,41193260,51384041,63073010,74971827,62160261,50651249,40601381,40601380,50651244,62160247,74971814,86781102,73168452,60421787,60421786,73168443,73168430,60421777,49017924,49017925,60421765,60421760,49017914,49017797,39088128,39088127,49017790,60421599,73168247,76068954,79262381,65900103,65900100,62160274,60421960,49018089,39088301,30491548,23078002,23078003,23077956,23077953,30491473,39088167,49017854,60421692,60421981,73168649,60422092,49018176,39088344,39088347,49018183,60422110,73168813,86781432,88614083,74972196,62160590,62160588,258927863,79262234,74971833,74971831,73168710,60422044,49018137,39088328,30491562,23078017,16825939,16825940,16825917,11766000,11765997,16825912,23077966,30491491,39088201,49017895,53120572,42669254,42669253,53120568,65106932,78390185,73168327,60421671,49017844,49017843,60421674,60579947,49180252,49180254,60579953,73166547,60421664,60421661,60422119,73168826,86781444,74972182,62160577,50651520,40601570,31892718,31892719,40601578,50651536,57823934,53452704,42978669,39088365,30491581,23078026,16825947,11766019,7855410,4985703,3011355,3011354,4985696,7855405,11766005,16825925,23077987,24189046,23815829,23815828,31302502,33661705,25855729,19198831,254939765,254939767,19198833,25855732,33661711,33661709,25855731,25855730,33661706,29914112,22556592,22556594,29914115,25590519,18981222,18981221,23185933,16919953,11841532,11841531,16919952,23185931,30605021,28066989,20895934,14991966,10323063,6792285,4258586,4258585,6792283,10323059,14991958,20895923,28066975,36533484,46394125,57744686,70439619,70439620,73585023,60835430,60835429,57527884,46212527,36382096,36382097,36892290,28395070,21175251,21175250,23461909,17183071,17183070,23461908,30894918,28397582,28397581,36895107,46770327,58137941,49209724,49209723,60610250,73355161,86966627,83966816,70439739,57744849,57744848,70439737,256517756,71300545,256517754,49966496,39949704,39949703,257062513,31274768,268678613,49966499,61444517,71484017,58755300,58755302,58755281,47369420,47369418,58755276,71483993,85055435,85055446,84056017,70521044,57820118,256821265,36597699,46464100,258011105,68141902,68141903,81632104,95665704,94384627,80330051,66902812,54645590,44835952,35410747,35410748,44835954,55743833,68141889,81632083,68141918,257334801,268556981,20350581,20350582,27285681,35410767,256201130,55743874,51066427,255315160,75639607,68141909,55743847,44835964,35410755,35410754,42445925,42445926,257809271,52850151,42445921,42445922,52850153,64769886,64769881,64769880,77964746,91889633,259330182,91271384,77351404,64203751,64203752,77351405,91271386,105493705,91271422,91271423,99049953,85125097,85125098,91271406,77351421,77351420,91271403,91271396,91271397,105493708,260788846,141794718,128441054,114556816,258905776,81196968,67731477,55391145,55391144,67731475,257674140,67731484,67731481,67731480,67731483,59522925,48135919,257520695,72256625,85847794,95253089,109507330,259646650,78050863,78050864,79355839,65988880,53920179,52928271,52928270,268392748,41131702,51315155,42006266,42006265,42517733,42517734,255863194,34295140,26418861,26418862,28633793,21394603,21394604,28633795,37147960,47037005,58409592,58409593,71127445,84691722,71127440,71127441,71211649,84780475,98708526,112704127,126568161,112704130,98708529,98708530,112704131,126568158,139932146,152638759,150334282,139932149,139932148,152638761,150334273,150334274,162468950,162468944,150334268,137292799,123560998,109369920,95116135,95116136,109369908,95116132,95116131,109369916,123560989,109369913,95116130,81058741,81058740,95116128,109369910,123560990,123560996,109369918,95116133,81058743,67591214,55249666,44401833,44401834,55249667,67591215,81058745,95116124,81058737,67591211,67591212,81058739,84390458,70833398,58118806,46750223,46750222,50989119,40854189,32082062,32082061,40854186,40854190,40854191,50989120,50989106,40854177,38312465,29743777,22384555,254838202,10449420,10449421,12817587,8714967,5673107,5673106,5673183,3528788,3528785 Dl.O(d2) = 8715081,12817626,12817627,18079177,24507642,18079064,12817544,8714956,8714957,12817573,18079098,24507682,32081563,32081434,24507568,24507567,32081430,32081511,24507633,24507634,32081513,40853548,50988444,62610796,75548809,85474032,71889822,59152266,47753735,37831252,29265411,21943608,255290560,37831249,47753744,270313497,89304696,75548833,62610828,50988481,258321007,256652824,49397659,49397658,60798343,52073010,41760332,32840691,32840693,39993787,50011620,258257669,50989004,40854080,32081961,32081960,40854078,47753734,46791763,46791761,50988554,62610914,62610923,59320054,47927508,47927507,59320051,72054576,85641839,258415710,87163890,73545435,60798347,50011706,50011705,61489616,50011716,50011717,61489588,61489589,74266587,61489644,50011734,39993896,268440309,23827644,31317099,256519577,23827630,17490081,12331892,8330602,8330601,12331890,17490077,23827627,31317075,39993859,50011692,50011720,39993874,31317086,23827634,17490092,12331897,12331896,17490090,23827642,31317096,256519587,31317108,33143086,25403130,18813638,18813637,256124109,32622518,32622519,39993847,31317067,31317066,257066309,41505445,32622491,32622492,256519571,23827620,17490073,17490072,12331899,12331900,17490097,23827648,31317105,39993909,42097305,33143083,33143084,39993886,39993887,50011637,50011745,50011693,50011694,39993883,31317091,23827639,256014645,32622494,32622493,38286755,29720390,256014637,23827602,31317036,31317094,39993889,50011728,61489639,258091476,50011739,50011602,256519563,31316995,39993767,40097097,42300656,52687387,55290983,44446764,44446765,51780287,41505467,32622512,24955359,24955358,28393455,36890567,39993992,31317204,23827740,23827739,31317018,31317017,36890556,36890555,256557570,51780285,41505458,32622501,24955351,24955352,32622502,39994137,50011939,61489822,63563089,51780278,41505449,32622496,32622497,41505450,256124099,25403061,31317337,23827842,23827843,31317339,39994140,46768817,36890548,36890549,39994005,39994006,257649017,39993759,31316985,31316986,39993747,39993746,39994024,39994025,257648991,39993745,31316971,23827540,17490165,17490164,23827737,31316982,31317251,31317197,23827733,23827719,256014651,17490168,17490167,23827729,23827730,31316988,23827556,17490025,12331853,255174015,23827551,17490175,17490174,23827567,23827568,31316997,31317244,23827773,23827774,31317245,31317341,31317340,256014655,17490169,12331966,12331967,17490171,17490254,12332021,12332020,17490252,17490026,254849399,8330656,12331958,17490162,23827654,268440311,268111589,12331960,12331849,12331850,254849393,8330573,8330671,8330672,8330668,8330667,8330680,8330681,12331970,255563257,17490028,12331856,8330574,8330575,268995968,5376599,8330661,8330607,5376571,3306135,1945005,1111175,623621,623622,1111176,1945007,3306114,3306103,1944986,1944987,254402033,8330628,8330619,8330621,255174023,8330682,8330554,5376538,3306072,3306071,3306100,1944985,1111165,623616,346587,346588,623618,1111168,1944990,3306110,5376587,8330640,12331937,17490136,23827703,31317172,31317182,28951611,21671645,21671644,24749672,21671650,21671651,28951618,37494031,44615583,51368837,61489689,63049882,63049883,74490946,65951587,55464328,44615580,44615579,35233954,35233955,39993941,50011777,61489688,51368830,41182660,41182661,51368832,61489663,50011756,50011755,61489660,257611102,88103185,87868654,87868647,258245860,258245858,65951581,65951582,79315716,74490950,256002848,50227202,61708187,53884772,43360623,34260725,32366631,256593281,257731833,76032787,257636638,88103189,74490944,74490945,88103187,74490941,74490940,74490937,74490936,61934257,61934256,74266717,74266718,87868719,88355867,74727722,61934210,61934211,53884766,43360619,43360618,50227204,50227203,58020156,58020157,50227209,50227208,40409723,40409710,40409711,50443658,50443603,255982932,31717792,24210283,24210284,24210314,24210315,24210297,24210298,17840164,255590049,31717806,24210293,24210294,31717809,38781477,30196980,30196982,268690085,24210304,17840159,17840158,24210302,31717817,40409671,31717788,24210273,17840141,17840140,24210271,256549619,257681309,50443591,40409661,40409660,50443589,40409697,40409696,50443637,61934230,60099601,50443588,40409659,257097929,257681311,40409666,40409667,40409700,50443643,50432761,50432762,61922617,61934168,74727678,88355819,74727686,61934177,61934178,74727688,88355826,88355825,74727682,61934172,50443579,50443581,61934174,74727684,61934189,50443596,40409665,257097931,61934191,74727674,61934166,50443575,41238157,32412876,32412874,41238153,51436237,63134185,76140359,89946816,103396500,102351882,258218748,118237260,115208115,101130218,257166902,256098954,63980944,77102437,90994339,89307315,89307313,103396627,117521393,113911561,99893076,260003423,88355832,74727694,74727693,76140347,257611098,76140360,89946829,104077091,89946825,76140355,76140356,89946826,99952372,113975174,127853157,131317121,131317122,144538122,144538125,131317126,117521301,117521300,131317124,117521363,103396584,89307267,75551698,75551626,62613970,50992025,50992024,62613966,75551623,75551715,62614033,62614034,75551718,89307299,103396613,117521293,117521294,104077097,259573524,117521285,103396482,89307135,76140362,76140363,258975463,51436247,51436248,63134199,76140368,89946833,94422882,94422881,104952142,90772493,76893646,76893618,63783704,258373131,71546673,85117843,99042894,271804246,66943884,54687559,43945150,43945149,54687557,51436242,41238158,269044905,63134189,53488875,43010785,33954035,33954034,257249893,65512212,66943864,58818328,257259656,37524349,47431869,54687552,43945144,257291191,66943872,79306797,270597997,107865089,122204215,107799066,93377078,79249923,65886303,255428718,34195528,34195529,43293236,255863712,79249932,93377091,105871475,91662992,77734880,64552421,256619730,42267004,52652875,64552419,61792040,61792039,74576397,79249926,65886304,58818330,47431872,47431874,44534395,35158198,27072258,20177044,20177043,27072256,255748652,55380755,67720711,257914954,99042903,93377081,93377080,104071416,104071454,89942150,76136207,76136206,63130320,51432751,256596243,32409733,257148657,32409725,24784877,24784878,32409727,41234662,51432731,63130293,76136172,89942110,89942109,89942159,76136213,76136212,89942156,76136225,63130332,51432760,41234677,32409737,24784885,255229591,12991953,18303052,18303049,18303048,24784880,256596241,51432737,63130297,76136182,89942128,104071442,118230349,118230337,259602423,89942115,104071429,118230335,118230362,118230361,132050012,122909225,108644186,258724326,257490670,58188472,58188471,70901469,269801146,104071435,89942119,89942120,259967606,112349827,98367428,84458032,70901461,58188468,58188469,70901463,84458036,98367431,94356135,80299563,66870292,54612555,54612554,66870287,54612565,43870165,257285537,66870303,66870300,66870301,80299582,80299586,80299585,74085395,74085396,61792052,50311650,40290639,31607643,24787976,18305653,12994091,8846353,8846352,12994089,255626715,32413048,41238261,41238268,41238265,41238264,51436304,63134242,76140409,89946869,104077133,118237302,118237305,104077136,104077134,260815495,260218881,104077132,118237301,272340763,261558786,128354561,271170964,98168793,98168792,97828898,259873193,86494147,72897806,60161126,48766971,38847323,38847324,40854182,32082059,32082058,32082057,40854180,50989112,62611295,75549223,75549222,259573277,103394409,103394408,117519232,103394414,89304958,75549231,75549232,89304960,100998004,115069087,100998010,100998011,100998007,100998006,100998009,100998008,115069092,261247707,154293546,154293545,155017993,144536003,131314992,131314993,144536005,153248181,140566873,127221439,113363258,99361832,99361833,113363260,127221442,129680582,129680581,122932547,108668342,94381261,94381262,108668340,94381265,80326103,80326102,258714226,72595341,74545052,61761681,50282205,40261382,256539945,17713014,255581751,31574405,24068940,17713013,17713012,24068938,31574401,40261377,40261378,49750419,49750420,39731648,31053175,31053174,39731646,257628203,74010372,87614537,101581553,115621602,129506239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186044, s2 = 10192433, dlinesl.size( ) = 2 s1 = 10186044, s2 = 10192433, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10186044, Dl.E( ) = 14, 1.38e-05 seconds used appending s1 = 6466562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9335239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 486679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6514166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6514166, s2 = 10155591, int(edited[s2]) = 0 s1 = 6514166, s2 = 10155591, d1 = 7, d2 = 7 Dl.O(d1) = 255438606,12371847,17540529,254756478,15073411,15073410,16511569,16511570,22716025,22716040,22716039,21945966,15856904,10990623,7275564,4588347,2760560,1600316,1600317,2062524,2062523,3476144,5600020,8615021,12683439,17903299,12683040,12683041,10990401,7275425,4588261,4588260,5209928,5209927,4583907,2757924,1598866,1598864,2757917,4583893,7268654,5609024,5609023,8626442,12697634,10807502,7141323,4496471,4496472,7141327,7403794,4677336,4677335,7403786,11161843,16073885,19539665,22203516,22203595,25433884,29547108,22203486,22203484,27979389,31798906,36869798,31798704,31798707,24284766,17903896,17903895,22146382,16027459,11128149,7381069,7381070,11128154,10990398,10990397,15846081,10981459,7268727,4583933,2757933,1598869,1598868,2757930,4583920,7268699,6269709,6269711,7268741,4583940,4583942,7268749,10981502,15846139,17735521,17735520,21913596,17180533,17180534,15845979,10981408,10981407,12548600,17735583,16073822,16073823,11718643,11718644,16765676,21665844,15630155,15630154,15845838,17180482,17180481,23458978,30891736,29415507,29415510,29268549,21946245,15857106,10990748,10990747,15857100,21946232,29268528,29254892,21933834,15846193,10981530,7268766,7268764,10981523,15846024,10981430,10981431,15846031,10981489,10981490,15846126,21933682,21933683,21913610,21913609,29230214,255441494,29315279,255878078,31511307,40197201,37838198,29272038,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276623,10992157,15859161,21949078,22203969,22203968,29547594,38110845,44394383,255417972,20051280,14365924,14365922,20051278,269190575 Dl.O(d2) = 255438606,12371847,17540529,254756478,15073411,15073410,16511569,16511570,22716025,22716040,22716039,21945966,15856904,10990623,7275564,4588347,2760560,1600316,1600317,2062524,2062523,3476144,5600020,8615021,12683439,17903299,12683040,12683041,10990401,7275425,4588261,4588260,5209928,5209927,4583907,2757924,1598866,1598864,2757917,4583893,7268654,5609024,5609023,8626442,12697634,10807502,7141323,4496471,4496472,7141327,7403794,4677336,4677335,7403786,11161843,16073885,19539665,22203516,22203595,25433884,29547108,22203486,22203484,27979389,31798906,36869798,31798704,31798707,24284766,17903896,17903895,22146382,16027459,11128149,7381069,7381070,11128154,10990398,10990397,15846081,10981459,7268727,4583933,2757933,1598869,1598868,2757930,4583920,7268699,6269709,6269711,7268741,4583940,4583942,7268749,10981502,15846139,17735521,17735520,21913596,17180533,17180534,15845979,10981408,10981407,12548600,17735583,16073822,16073823,11718643,11718644,16765676,21665844,15630155,15630154,15845838,17180482,17180481,23458978,30891736,29415507,29415510,29268549,21946245,15857106,10990748,10990747,15857100,21946232,29268528,29254892,21933834,15846193,10981530,7268766,7268764,10981523,15846024,10981430,10981431,15846031,10981489,10981490,15846126,21933682,21933683,21913610,21913609,29230214,255441494,29315279,255878078,31511307,40197201,37838198,29272038,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276623,10992157,15859161,21949078,22203969,22203968,29547594,38110845,44394383,255417972,20051280,14365924,14365922,20051278,269190575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6514166, s2 = 10155591, dlinesl.size( ) = 2 s1 = 6514166, s2 = 10155591, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6514166, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6442401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10166026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 488209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 488209, s2 = 11157186, int(edited[s2]) = 0 s1 = 488209, s2 = 11157186, d1 = 2, d2 = 25 Dl.O(d1) = 12414374 Dl.O(d2) = 46440044,36574921,28103199,20927115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 488209, s2 = 11157186, dlinesl.size( ) = 18 s1 = 334475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163174, s2 = 8351357, int(edited[s2]) = 0 s1 = 14163174, s2 = 8351357, d1 = 23, d2 = 18 Dl.O(d1) = 53215218,53215212,44482703 Dl.O(d2) = 57810385,57810405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8128692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 690760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10137331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13317725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13317725, s2 = 10137341, int(edited[s2]) = 0 s1 = 13317725, s2 = 10137341, d1 = 5, d2 = 20 Dl.O(d1) = 5433718,3340317,3340316,3340218,1964226,1121902,629389,349569,191625,191626,349573,629398,629349,629351,1121822,1964076,3337156,5428601,5452690,5452693,5428433,5428429,5446146,3348027,3348026,5446122,5447404,8423588,8414677,8414674,12446307,12454923,8423279,8423283,8434286,8434288,12465553,12458988,12458985,12442921,12442916,12438048,8406613,5448408,3349409,3349411,5448417,8438261,12469068,17624249,16183112,12476135,12476136,12473328,12443036,8411362,8411363,12443038,8442625,8442627,8614562 Dl.O(d2) = 1126338,631648,350671,192144,192145,350680,631666,1126373,1972861,1970061,254136035,630866,630865,630886,1120505,628728,349243,349242,628725,1120499,1961480,3335189,5425400,8407730,5561401,5561402,8564959,12617671,17821075,24189829,31697675 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6849029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341997, s2 = 10192800, int(edited[s2]) = 0 s1 = 10341997, s2 = 10192800, d1 = 17, d2 = 18 Dl.O(d1) = 2587233,1491516,844618,254097129,148606,81715,44726,24838,13893,7658,7659,13896,24844,44737,81743,254084677,476874,841101,841102,474580,474579,838553,838551,843447,843448,1483048,1483047,849021,849023,1481892,838709,472776,472777,838713,1483103,845791,841135,474325,473263,473262,837020,471667,264985,146653,80587,44126,44125,25024,13991,7696,4103,2113,1031,1027,2098,4070,7641,13853,24753,44574,81439,148133,267512,475707,267556,267555,475764,446600,251319,138678,75580,40928,40927,75579,138676,251311,446586,788434,254211841,3997418,254677567,14080797,19645364,17430520,12285540,12285539,11726817,7828826,4969351,3001459,1743051,990394,557055,311473,172159,94699,94697,172153,311465,557041,990367,1742865,1742864,3001158,4968856,7462267,11120542,11726554,16772883,254815555,7919364,255137419,16772234,11726070,11726066,7828298,4969028,3001260,3001259,4969026,7828293,11726057,16772219,23011893,255869778,24392216,31925172,31685249,255587618,17808542,254612574,30448810,23711699,17388130,254871766,31154035,28268319,28268318,22316702,255086646,18931556,21794527,15735527,10898151,7207902,4541613,4541612,7207898,10898142,15735514,21794515,29092514,28646263,21404526,15417167,10657293,7037660,4428217,4428218,7037662,7037665,10657299,15417181,21404551,28646300,37162630,41232736,32407923,32407924,30078853,22697530,22697529,30078851,38655859,48571771,55360719,44827559,35401829,27275230,27275229,255438370,21943430,255136112,21674090,15636212,10820362,10820363,15636215,21674099,22203855,22203854,28430982,21207088,21207091,22203844,22203843,28954763,21674061,21674062,21674067,15636194,15636193,21674064,28954770,37497389,37497385,28954760,21674057,21674059,16073930,16073931,255893171,29547334,29547335,22203713,17825772,17825771,16074140,11162003,11162002,16074137,22203702,22203701,16074066,11161962,11161963,11272801,11272802,11272808,11272807,15240803,21207097,16074009,11162301,7404058,7404059,10990819,10990818,15857219,21946407,29268718,29547672,29547946,29547945,38111131,47757672,37835225,29269174,256149636,23985335,17639581,17639580,22203747,16074050,11161953,7403851,7403850,11161949,16074045,22203743,22204078,16074329,16074331,22204079,22667773,22370847,22370845,29727618,29547431,29547430,268500032,29269584,29269583,29547324,25570244,18960544,18960546,21946414,29268714,267998336,16170533,16170534,17639579,23985331,29547666,22204044,22204041,16170539,16170540,15857547,10991064,10991065,15857552,21946836,21948186,22203781,20991225,20991224,28172204,21949117,15859193,10992173,7276631,4588996,2760911,2760910,4588992,7276621,10992150,15668752,15668751,21711185,20940836,20940833,28117989,29547581,254363428,30786341,23361044,23361045,30157189,38739785,254529000,29439455,23054900,268085474,11753890,16808547,254465774,39052596,33334644,25574924,18966137,13530664,9261010,6065610,6065608,9261021,12140752,13650465,19118935,19118934,25757383,25574499,18965870,18965868,25574490,25925429,30560804,30232750,22840143,17328713,17328714,23645571,23645620,23645619,31133338,39815908,256662902,60491221,49087997,49087996,60491220,68223500,73237524,77786262,74105937,73083008,60343220,60343221,73083010,258296718,257104384,64602271,52701508,42314357,42314358,257801041,73095160,86699008,77301099,70965669,58249292,46882158,39023739,30434194,30434195,39023612,48946386,46882086,46882087,37003595,28505569,21286576,15322290,15322287,21286566,28505554,37003569,46882504,58249262,58249261,59488978,48100417,46882433,46882434,49839472,39815870,39815869,49839470,61322836,53002286,42562432,42562433,46882271,37003427,37003428,37003325,28505417,255394173,10582934,6981414,6981415,10582935,15322271,21286509,28505422,37003332,46882120,37003707,28505629,28505630,37003709,46882717,58250038,70966285,74493942,61711909,50231712,40210734,40210735,50231715,61711912,72224736,72224735,85817101,76452306,63408336,63408338,63408479,58249195,58249197,64062750,77203792,76452280,63408297,51664938,41422913,32563070,24911357,18406121,18406115,18406114,24911346,32563042,41422875,50400987,40365728,40365732,50400981,61891536,74685133,74685132,73095545,73095546,64152353,52300360,51665405,51665407,63408866,70966306,70966307,77300760,73095578,60357126,48961572,39040025,39040021,48961560,48961590,39040034,39040035,48222712,38312856,38312858,37847585,37847586,29280043,21955382,15863780,10995240,10995239,15863773,21955374,29280020,37847642,39219688,39219689,47770575,39040386,30451014,29744228,29744229,38312901,48218250,48217533,47770271,37847431,29279912,21955321,15863747,15863745,21955310,29279893,37847390,37695643,37695645,47618950,59022551,64151621,52299375,41958370,33015792,33015794,38778958,46917232,48098819,38187355,30194649,22803972,22803971,30194646,38779036,48701422,47770585,37847653,29280028,21955377,21955379,29280035,37847661,47770594,52299158,41958195,39038956,39038955,47880190,59275568,48218266,38308519,29740243,29740244,38308521,48218273,256395640,47009206,58380231,71096831,73095105,256937836,59275548,47880171,47880172,52299327,47009101,37122314,37122313,47009095,58380105,71033775,58318130,49929339,49929338,60357450,48962059,39040627,39040626,42452083,48701287,48701289,60097144,60475795,72339591,75448607,62526414,62526415,52299317,52299316,58380067,51206992,41050212,32256354,32256353,41050206,51206984,48218124,38308420,38308419,48218123,48218139,38308426,29740176,29740178,38308432,29740298,29740297,38308588,48218342,59604876,72339493,78366831,88069027,258893380,257661986,256531748,17642149,255573145,12439796,8408220,5425735,5425738,5460170,5982328,5446136,5431697,5431698,5450455,8441059,12460732,8441410,5450804,3350836,1969985,1969986,3350839,5450812,8441429,12466411,17632596,17619339,12465425 Dl.O(d2) = 20125080,23635648,23636003,17320317,12195445,8225711,8225712,12195450,12211218,8241999,5313736,3263059,3263058,5313746,8242022,12211249,16340780,20122708,14431094,9926785,9926780,14431098,16351682,16351680,22391630,21616217,21616218,22509088,17320836,12196107,8226317,8226316,12196104,16321558,16321559,22495354,22481675,16310301,11348077,11348078,16310305,22481683,16311532,16311533,22483129,17258225,17258226,21100830,15156909,15156908,21100828,28310941,28311797,36808671,255474884,38777327,48699589,60095643,72832931,86427911,100383550,114406610,128282606,141632702,261121548,166039698,176679184,263331322,159633622,159633621,147277373,134058785,120223462,106021276,91826115,77904623,258382470,52802303,52802310,42402939,33413807,33413806,42402938,52802313,64715918,77904626,77904624,64715911,52802306,42402933,33413803,25646716,19029184,19029185,25646719,33413806,42402938,52802313,64715918,77904626,77904624,64715911,64715912,64715915,258382472,42402940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341997, s2 = 10192800, dlinesl.size( ) = 2 s1 = 10341997, s2 = 10192800, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10341997, Dl.E( ) = 20, 1.41e-05 seconds used appending s1 = 13360571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6525861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 491486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 491486, s2 = 15900456, int(edited[s2]) = 0 s1 = 491486, s2 = 15900456, d1 = 9, d2 = 7 Dl.O(d1) = 12504555,8470726,5475454 Dl.O(d2) = 191596023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 491486, s2 = 15900456, dlinesl.size( ) = 2 s1 = 491486, s2 = 15900456, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 491486, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 491993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 338076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7930668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13406955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13406955, s2 = 6682766, int(edited[s2]) = 0 s1 = 13406955, s2 = 6682766, d1 = 49, d2 = 35 Dl.O(d1) = 3391396,5501830,8500207,12538908,17723085,17723104,12538921,8500213,254866655 Dl.O(d2) = 257291058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13406955, s2 = 6682766, dlinesl.size( ) = 20 s1 = 338307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155900, s2 = 12987035, int(edited[s2]) = 0 s1 = 10155900, s2 = 12987035, d1 = 17, d2 = 39 Dl.O(d1) = 254587711,3280131,1929369,1929370,3280133,254588371,8269047,8315597,12311394,17414381,12273001,12273000,12245572,8270622,254842945,16164295,11231402 Dl.O(d2) = 166075876,176713117,186125571,181346350,262954873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10155900, s2 = 12987035, dlinesl.size( ) = 2 s1 = 10155900, s2 = 12987035, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10155900, Dl.E( ) = 50, 1.88e-05 seconds used appending s1 = 7556378, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8184174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 184996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10234926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13398801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13176987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 227151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 227151, s2 = 11071140, int(edited[s2]) = 0 s1 = 227151, s2 = 11071140, d1 = 9, d2 = 17 Dl.O(d1) = 5542888,3428425,254416341 Dl.O(d2) = 61464947,49987665,39971847,31297683,31297684,39971849,49987668,49103644,268740696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 227151, s2 = 11071140, dlinesl.size( ) = 2 s1 = 227151, s2 = 11071140, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 227151, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 9075113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9075113, s2 = 340272, int(edited[s2]) = 0 s1 = 9075113, s2 = 340272, d1 = 13, d2 = 15 Dl.O(d1) = 4709196,2836859,2836861,2032373,1164002,653196,362184,198231,108047,108046,198216,355221,639869,1140639,1163837,1163835,2032093,3435324 Dl.O(d2) = 8553182,8553181,12602828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8039033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 257964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 257964, s2 = 7896588, int(edited[s2]) = 0 s1 = 257964, s2 = 7896588, d1 = 46, d2 = 44 Dl.O(d1) = 2318579,2341506,2341430,2341432,2341904,2341905,3911749,6248457,6301802,6301804,9597541,13975490,19522692,14111190,268164769,24212980,17842774,17842776,16575768,11556776,11556775,16575764,16794364,11742669,7840012,7606740,4812369,2900245,2900247,4812375,7606754,11439435,12323447,16411109,13439580,13439581,13558934,17478823,12323456,12323457,17478834,16423924,11439942,7607149,4812639,4812638,7607142,11439928,16423902,14919560,10259168,6741572,6741573,8175525,5245143,5245141,8175542,12145718,17266061,23577713,31061245,24214648,18786021,18786022,22580526,22580527,18330331,13011906,8858977,5774293,3597365,3597364,5774289,8858971,9760258,14198333,254785756,9206766,8578371,8578372 Dl.O(d2) = 12634331,17841616,24211741,17846314,12637882,8580563,8580564,12637885,17846319,16432819,16432818,14088655,9690420,9690419,14088651,254241782,29945611,22582674,16400210,11416576,11416578,16400218,22582687,29945627,26385178,19650724,14085059,14085057,19650719,25140060,19651690,14085798,14085797,19651688,19665103,26392590,19658261,19658260,26392585,33438734,31333424,23841587,22403847,22403846,29766643,24148042,17781416,12584411,12584410,17781411,21198181,21198180,17121041,16399618,12028539,8089190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162054, s2 = 341589, int(edited[s2]) = 0 s1 = 14162054, s2 = 341589, d1 = 9, d2 = 12 Dl.O(d1) = 87575347,73977281,61199198,61199197,256496986,268106162,11257734,7473436,7473435,8474311,8474309,7473326,4723001,2845656,2845657,4723004,7473334,11257531,16194694,22343644,16194656,15126028,15126027,21057941,28259052,22344982,16195632,16195630,11258316,11258315,16195908,22345354,22343974,22343975,23108545,23108544,30526341,34304705,29697565,22343916,16194838,11257611,11257610,16194833,22343859,22343858,16194812,12644367 Dl.O(d2) = 39223113,39223112,39414629,38047509,29484063,22344450,16195248,16195247,22344444,20922610,20922612,28097905,30511395,23095898,23095900,29484331,38047780,40233023,31546820,24043239,24043240,26960369,20076711,20076712,26960374,24043264,24043263,31546844,40233039,42419119,33428333,25659947,25659945,31710516,30796763,30796762,37989998,39462350,30857505,23426027,23426028,30857509,31546722,24043168,24043169,24043211,17691016,17691015,24043025,24043085,29698163,22344457,16195252,11257877,11257878,16195260,22344470,29698186,23095919,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141772,24043255,31546814,31547721,40233686,40233030,255939780,25259020,32982302,41922558,52260817,47896553,47896554,40232941,31546707,24043158,22097118,22097117,17690902,17690903,23426032,23426031,25659950,25659949,33428335,31710597,24202952,24202954,30787372,30787371,39389710,40402655,31710564,29698178,29698179,38042400,29479181,22141784,16024140,268082600,7379631,11125958,16024137,22141777,24043243,24043244,31546826,30721178,30721177,39108494,39108470,30511360,23095872,23095874,17691063,12512364,8476576,5479248,5479247,8476554,8476555,12512322,17690894,17690909,12513203,12513204,8573445,5569305,3453179,3453181,5569311,8573456,12627846,17833349,24202923,30787375,24043136,17690966,17690967,24043141,23458466,23458465,30857489,31546129,24043355,24043354,19040903,13592097,9306878,9306877,13592092,19040893,25659964,24043281,24043048,24043049,31546569,40232819,40402607,31710501,24202851,17833279,17833278,24202849,31710500,40402605,40232853,31546603,31546602,37002485,46881135,37990832,29428858,24202835,24039516,24039517,31542816,257084965,57831929,46476075,36610070,28136376,20958398,20958399,20958377,15049406,10376051,10376050,15049404,20958373,268602197,46476091,57831941,46476106,36610094,36610095,31543304,28136400,28136401,31543210,256138114,28136367,28136366,36610103,37979265,46476154,46476153,57831978,61728135,50249492,40229593,40229591,50249491,50253118,50253119,47906966,47906965,50249545,47896593,37979279,31543255,256537569,24039942,17688110,12509862,12509857,17688101,24039930,31543227,29455823,22121810,22121812,24040005,17688157,12511944,12511946,12511952,12511951,15979903,15979902,15979912,15979911,22086059,29416364,37979250,38017956,37979242,29416353,29416086,22085768,15979544,11093079,7356896,4647253,4647254,7356901,11093085,15979480,11093185,11093186,15979476,15979847,15979676,11093211,11093212,11093326,11093233,7357012,4647317,4647318,7357017,11093238,15979731,11093292,7357068,7357070,4656547,2805251,2805252,4656551,7371114,11092941,11092942,14447598,20141786,22120926,16007153,11112967,255075039,22085868,255549268,12504565,8470732,5475456,3369401,3369402,2799290,1623832,254099698,291805,291808,520528,923367,1623861,2799331,4647125,4647126,7356682,7370462,7370454,7356977,4647295,4647291,7356821,4647209,4647213,7356829,11092951,8474824,8474823,12509936,11093166,11093026,11093027,11093043,11093042,7370424,7370423,11112900,16007103,11112940,11112941,11092700,7356639,7356640,7356771,4647196,4647198,7356798,11092899,11092909,11092908,7357122,4647369,2799362,2799311,1623846,923358,923357,923346,923345,1623814,2799256,4647173,7356754,4656180,2805055,1627238,1627239,2805063,4656187,7357129,7357088,7357089,11092947,15979425,17688191,17688190,15979492,11093032,11093035,15979497,255450030,16007092,16007099,16007100,22120881,22085528,22085526,29415950,29415948,22085523,254765140,7356635,7356633,11092694,254350024,4647165,4647363,4647259,2799304,1623841,1623840,254165076,1623835,2799296,4647250,7356887,8474727,5478080,5478079,8474724,12509823,17688066,22086036,22085613,15979313,11092809,11092810,11092754,7356673,4647117,3370973,3370974,5478014,5478495,5478496,8475389,12510674,11281577,11281578,14079918,11258177,7473752,7370583,4656249,4656247,7370576,11113096,16007296,22121049,17687108,12509021,8474136,5477705,3370802,1983533,1983532,3370797,5477690,5478912,3371508,1983920,1983921,3371512,5478921,7473523,5477971,3370946,3370947,2845704,1651014,1651015,2845706,4723094,7473479,11257780,12509780,8474680,8474679,11257788,8475360,8475357,12510621,9057128,5921444,3702665,3702666,254640641,13272295,9093555,5949117,5949118,8216651,8216650,6800415,4264568,4264564,3711699,2222670,1289330,1289331,736051,736054,1289385,2222778,3711872,4258491,6792131,4288814,4288816,6835394,6802178,4265791,2550400,1469185,1469188,831135,831133,1469255,2550522,4266001,255003991,20909924,268688880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162054, s2 = 341589, dlinesl.size( ) = 2 s1 = 14162054, s2 = 341589, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162054, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 497542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10135392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135392, s2 = 4213365, int(edited[s2]) = 0 s1 = 10135392, s2 = 4213365, d1 = 2, d2 = 54 Dl.O(d1) = 12667364 Dl.O(d2) = 171065935,159758880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135392, s2 = 4213365, dlinesl.size( ) = 26 s1 = 9361631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9361631, s2 = 2459103, int(edited[s2]) = 0 s1 = 9361631, s2 = 2459103, d1 = 82, d2 = 65 Dl.O(d1) = 60219780,72959867,85355044,71764684,257137068,37691371,255618502,21822305 Dl.O(d2) = 151565571,138863098,125530805,111724508,97802325,83943001,70416056,70416057,83943002,97802327,111724507,97802324,97802323,111724503,260472342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9361631, s2 = 2459103, dlinesl.size( ) = 2 s1 = 9361631, s2 = 2459103, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9361631, Dl.E( ) = 96, 2.41e-05 seconds used appending s1 = 499434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9108158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 343852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 500979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 344237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 344237, s2 = 11649585, int(edited[s2]) = 0 s1 = 344237, s2 = 11649585, d1 = 0, d2 = 47 Dl.O(d1) = 8653986 Dl.O(d2) = 262418126,131858477,145116379,269456708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 344237, s2 = 11649585, dlinesl.size( ) = 34 s1 = 6906055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6667260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6667260, s2 = 6469881, int(edited[s2]) = 0 s1 = 6667260, s2 = 6469881, d1 = 9, d2 = 8 Dl.O(d1) = 257119243,24455019,255212999,8691804,5656834,3517668,254425821 Dl.O(d2) = 254884191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9075470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9075470, s2 = 1033933, int(edited[s2]) = 0 s1 = 9075470, s2 = 1033933, d1 = 0, d2 = 4 Dl.O(d1) = 32031940,24469686,18049652,12795568,8699347,8699346,6991906,4393887,2632846,1520288,1425411,1425414,1424611,877262,865731,491005,275770,152355 Dl.O(d2) = 233365033,232165204,230836161,229350009,227674522,225763168,223571067,221041414,221041415,221041416,221041411,221041410,223571061,221041406,218083582,218083583,221041408,223571063,223571062,265046474,214556305,210265324,210265323,210265326,205014425,198677121,191196742,262823630,161390387,149101272,135876936,121948754,259519514,79044737,65690632,53641131,53641132,65690634,79044740,93164114,79044735,79044734,93164111,107571809,116352580,105755344,91532273,91532274,93164125,79044742,65690637,53641134,43138845,43138843,53641132,65690633,270585819,107571817,121948755,135876938,149101273,161390389,172573109,182508090,263770825,205014427,210265327,214556310,218083592,221041418,223571068,225763171,227674523,229350011,230836163,265638296,265291034,221952520,264870036,215786696,211744342,206797341,200810064,193715090,262465676,260861956,127419582,127419583,140775811,153456075,153456076,165255553,260861952,127419576,113548532,99536799,85589507,85589508,99536801,113548534,127419577,113548533,99536800,99536801,113548535,127419581,140775809,259649722,99536803,85589509,85589510,99536798,85589507,72002571,59266398,47870852,37952729,255658170,268023252,22057464,22057463,26118453,19425064,13898498,13898497,19425061,25103951,18555164,13184529,8987541,267927491,254295031,1272797,1272798,2192220,3663465,5867669,8987559,13184575,18555235,18555175,255643115,28674560,22632924,22632923,22632913,22632914,26321804,19595488,14040340,14040339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9075470, s2 = 1033933, dlinesl.size( ) = 2 s1 = 9075470, s2 = 1033933, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9075470, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 13293707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8223152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 504595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 504595, s2 = 2248002, int(edited[s2]) = 0 s1 = 504595, s2 = 2248002, d1 = 27, d2 = 381 Dl.O(d1) = 12836759 Dl.O(d2) = 39520488,39520489,49452767,47253986,37344554,37344555,47253988,58646351,60854394,49452764,39520487,30911100,23475172,23475173,30447940,30447939,39037336,48337365,48337366,255469760,38447297,29890686,29890685,38447295,48349461,48349478,38447298,38447299,39520496,30911104,30911103,39520494,48349459,39520484,39520485,49452762,60355303,48959177,39037340,30447942,23040139,16795310,16795311,23040142,30447947,39037348,48959155,59722049,48337367,38433265,38433264,30447920,23040122,23040121,256457021,48959158,60355287,50392001,40356992 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 506368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9356066, s2 = 7419736, int(edited[s2]) = 0 s1 = 9356066, s2 = 7419736, d1 = 6, d2 = 4 Dl.O(d1) = 271352514,257718375,256582565,24608032,255615977,12877409,8757781,8757780,9651635,9438138,6186482,3871527,3871526,5760194,3587549,3587546,3893109,2330951,2330953,1381251,785784,785780,1381223,2385997,3953656,6270919,3984005,3984001,3744730,3744726,3744771,5988800,5988802,6198852,5701369,3547649,3547650,254627033,12876368,12877408,255221321,13985613,19532745,26250255,34114751,43201767,53714207,257853687,76019301,89796085,260211703,131864606,260944878,118039473,118039472,261377959,157554772,145121924,145121925,157554773,169015569,179300297,188349520,196231334,196231330,188349518,188349519,196231333,202974243,208625051,264847783,220224835,265456635,227199561 Dl.O(d2) = 266269817,235225992,236149673,236352611,266638185,274842096,274885822,267110395,242813561,243126875,267238686,243126869,267145606,242476127,242813557,242813559,243126872,243420507,243693999,243694000,267265811,243370804,243370805,267261797,243370803,267186668,242422377,267081606,241233285,240770404,266900348,266787556,237823497,237062468,266501282,266468465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9356066, s2 = 7419736, dlinesl.size( ) = 2 s1 = 9356066, s2 = 7419736, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9356066, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13452345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13452345, s2 = 985743, int(edited[s2]) = 0 s1 = 13452345, s2 = 985743, d1 = 17, d2 = 4 Dl.O(d1) = 12364427,16678962,13942213,9569508,9569512,13942234,18067324,18067323,24492014,256097361,18474115,13124871 Dl.O(d2) = 24999087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13452345, s2 = 985743, dlinesl.size( ) = 14 s1 = 7912993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8004810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8004810, s2 = 11129210, int(edited[s2]) = 0 s1 = 8004810, s2 = 11129210, d1 = 10, d2 = 12 Dl.O(d1) = 42709581,42709582,51417850,62048316,50555601,254722352,31822203,40511069,31814983,24299397,17916549,12693790,12693793,17916554,268451163,38283075,255385078,30618615,23197437,23197436,256469607,36902014,46779859,52466757,48192151,38282750,29716086,22360203,16207523,11266641,7479220,4726773,254531339,9444656,9444654,13776193,19272869,24906783,21601560,21601559,18388759,13061648,13061649,18388761,13776226,9444673,6191470,3874845,3874844,6191468,9444670,13776223,19214829,19214238,19214237,19215203,19273147,19273148,18402504,18402501,24906669,32557236,25873350,19214721,13724807,13724808,17926660,255597691,269008771,31788582,31788583,31822186,24305606,17921739,12698011,12698012,17921742,17706905,17706907,254605068,34257762,29539686,22196442,16067741,16067739,17777428,12581727,10564325,6967908,6967910,10564315,14042139,14042140,19597687,22144247,16025842,16025841,20336442,19597854,14042230,9655126,6348734,3983371,3983369,6348729,9655114,14042209,19597811,19782166,26586297,31648008,24141765,24141764,24141758,22262160,16121966,16121964,22196677,16067921,16067922,22196684,29539948,27272188,27272189,23563402,17252369,12132702,8162826,8162825,12132697,16067822,11156955,11156956,16067827,21262738,15299920,15299923,254465226,36977922,46856481,43294726,34197098,26324382,19597717,14042159,14042160,12908258,8780875,5718905,3560248,2121359,1223278,691289,386131,386130,254197711,3560243,5718896,8780864 Dl.O(d2) = 254983808,18321708,255285592,13917051,13005483,8854349,8854350,13005484,12724333,12724334,17956126,20107357,14417657,9916126,6516696,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443219,7057651,10247872,254214826,7315311,11041010,15918935,20903351,28075491,31106489,29889542,22535156,16361358,11386048,7564458,4783018,4783020,7564464,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,18859749,256478711,25455880,23313514,17050632,11961483,8007171,8007173,11961488,17050643,17050205,11961263,8007076,8007077,11961266,17050213,23312813,30026173,22652982,22652985,30026181,23314222,17051816,17051818,22142350,29479826,38043060,30732525,30732523,30734817,30734816,29769212,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,22142448,16024663,11126347,11126346,16024659,22142446,22143033,16024997,11126515,11126514,16024994,255977089,23315194,256478577,268243981,8007547,8007546,8007222,8007224,11961597,11961570,11961569,16024797,11126414,11126412,16024787,20222512,17050776,16024860,16024862,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026159,30026355,22653122,16461135,16461134,22653115,30026345,29340613,29340612,29678356,22327171,22327122,16181331,16181332,22327126,29678288,22327289,22327288,21082715,15143727,10444385,10444387,15143731,21082727,28289068,36785556,38242898,29678189,29678190,38242900,38043868,29480715,22143051,22142602,22142603,29480156,38043366,29480421,25461902,25461901,33209805,38599084,30026272,22653061,16461105,11469536,11469535,16461101,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327200,29678383,30665438,33209786,27127059,20222145,16181433,16181431,22143201,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,25589152,18980172,13543789,13543790,15907676,15907675,22009093,16025017,16025018,22143069,18856340,13434916,13434917,18856343,25455159,23314767,23314768,23249680,23249679,30665387,37392413,47165727,42169723,35221210,27127487,20222500,14511200,14511199,20222498,254231654,44602231,55338684,44492700,37431361,37431360,47339313,58727729,49749848,39731019,39731020,34187236,26315348,23568418,17256947,12136900,12136899,17256946,13209511,9004523,9004524,9198531,6022466,3767669,2257418,2257417,3766501,4218624,4218625,4052456,2425389,2425390,2425618,2425617,4052827,4585437,3725440,2230543,2230540,1293535,1293536,1403844,2426752,3767536,2257330,2252795,2252796,3760707,4053966,4053967,6469640,6469861,6467533,4052382,4052383,6467536,6470732,4054999,4052401,2425349,2425347,4052393,2426046,2426047,2450127,2425975,2242450,2242449,2427114,1404070,799037,799038,1404073,2427122,1452818,1452817,2521125,2404992,1391673,1391672,798734,452750,452752,798736,812379,1428140,2470725,4053765,4053766,254084044,1302935,743327,743326,1302933,2246332,1302950,743334,743332,1302942,2246349,3751263,5998412,254145496,6415612,9757152,6730372,6730373,8990501,8986367,8986366,13182912,18552778,13182453,13182454,18552668,13182292,8985715,5866318,3662475,2191466,2191465,3662472,5866312,4130233,4130232,6592586,8986129,13182297,8986338,5866815,5866817,8982720,5864462,5864461,8982714,13177788,8986209,5866715,5866713,5865768,4018872,2408182,1393469,792437,792438,1393472,2408189,4018888,5866761,3662734,3662735,3662572,2191517,2191516,3662567,5866474,8985892,13182476,13326291,9105370,5957911,3725953,3725952,5957910,8998125,5874583,5874582,8998124,8997709,8997708,13192969,13192968,13199020,8997681,8997683,13199022,18574051,18720496,13326265,9105338,9105337,13326261,9902245,6508532,4078601,4078599,6508527,9000070,5875843,5874801,5874800,8998498,8997897,8997896,5874486,3668003,2195691,2195694,3667995,5874478,5875229,8999090,267861228,12519315,267811660,24053471,31557758,25472327,25472326,20784915,14897025,10243338,6730557,6730556,10243336,14897021,20784913,22158118,16037040,16037041,22158123,29497026,27938209,20784853,20784855,27938212,35061544,36382423,36382421,27938285,25407454,25407455,33147952,25419688,18827714,18827713,25329567,23815731,23815732,18830530,18830529,25423565,31052444,23568423,23568422,31052442,24658026,21346901,21346902,17256940,17256939,21346903,24909686,24909685,32561015,37040230,28541378,28541377,21383077,21383078,28619866,30856533,254907632,17147825,256487255,49389518,60790193,73537327,268420016,53087933,61767626,74551492,74551491,74551492,268964914,120936702,258189958,120936702,106684795,92381723,92381722,92381723,78349536,65070700,65070699,53087924,53087922,53087923,258438199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8004810, s2 = 11129210, dlinesl.size( ) = 8 s1 = 507491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8566210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8566210, s2 = 7944755, int(edited[s2]) = 0 s1 = 8566210, s2 = 7944755, d1 = 22, d2 = 18 Dl.O(d1) = 152954954,140264147 Dl.O(d2) = 11816028,11816031,16887105,19282741,19282743,24638858 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7944754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7944754, s2 = 8566211, int(edited[s2]) = 0 s1 = 7944754, s2 = 8566211, d1 = 18, d2 = 23 Dl.O(d1) = 13791013,12829599,12829598,13122448,12841399,8732562,5685215,3536610,2105121,2105123,3536617,5685237,8732625,7755543,4911762,4911763,7755546,11641201,16677581,22910031,18065451,12807812,12807813,18065454,18073598,24338125,17948017,17948018,24338131,31860271,40561968,32290640,26324707,21808970,15747330,12919384,8788475 Dl.O(d2) = 150489776,162613802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8369993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8369993, s2 = 9414024, int(edited[s2]) = 0 s1 = 8369993, s2 = 9414024, d1 = 27, d2 = 19 Dl.O(d1) = 12729896,17963796,256054215,40578633,50623149,40593053,258304107,75934958,257725761,41101186,41101184,51279594,51279593,62954031,62954915,62954235,59923305,59923306,62148520,62148521,62125450,50623154,40578635,31874171,255600315,12725139,12725138,17957252,24349595,256561625,50623151,50623156,50622456,50622459,51279577,51279576,51279590,62954031,62954915,62954235,51279802,48529347,48529348,59923321,270335439,260206642,116705789,102607642,88600125,258476479,53819511,256704345,26324213,26324210,34196868,43294494,53819501,269978992,24349594,24349595,256561625,50623150,62125446,62954519,62954004 Dl.O(d2) = 8097399,5187611,3164893,3164894,5187617,8097415,8097743,12045118,11518040,7661882,4847624,4847623,7661876,7661912,7661913,4847673,2921071,1694396,963455,542944,542943,963448,1694387,2921053,3165136,5187961,7661779,8099217,5188911,3165787,1853239,1057680,1057662,1057663,1853210,3165743,5188838,8098946,5188743,5188742,8098962,8097612,8097611,8098392,12046052,8098402,8098401,12044895,8097707,5187835,255149481,22731586,30111849,23416725,23416726,17140862,254573770,5188563,5188561,267990931,268428367,38888717,30302609,30302610,38888720,257573477,258220168,60780557,73528428,77253002,64106225,64106224,256804192,41919081,269759758,63550833,51771239,255781004,48350738,256267190,51771240,47787793,256956143,29891776,22537037,22537036,29891774,32913340,25200558,24952335,18436218,18436217,24952333,29450770,22117049,22117050,29450771,27960206,27960205,36418185,46270829,57615410,59319852,47927213,38012861,37325967,28789571,28789570,28789569,21525478,15513300,10729077,7088885,4463417,2681534,1553355,1553354,2681530,1775641,1750656,1750657,3013845,4989598,7861413,11774840,11847680,255013754,7861833,7862222,4990253,3014340,3014338,3159995,4988960,7860587,11773774,7861084,4991843,254556997,11778788,7866667,4993420,3017276,3013681,1752910,1752909,3013705,1750567,996655,996656,996531,561141,314226,173782,95597,95598,173786,254102141,996466,1751936,3015422,3019229,1754591,1754593,254249367,1753592,3017652,3017651,4994661,4990053,3014180,254249033,995527,995528,1750677,997101,997098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8369993, s2 = 9414024, dlinesl.size( ) = 18 s1 = 7994730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343985, s2 = 10927939, int(edited[s2]) = 0 s1 = 10343985, s2 = 10927939, d1 = 66, d2 = 62 Dl.O(d1) = 254294286,5092169,3090208,3090206,5092164,7999204,11949933,13659549,9353710,9353709,12343458,12343459,14536381,14536382,20260263,14536395,10020832,6586214,6586213,10020825,14562704,254325770,28681828,255124406,7049626,4437131,2664441,2664442,2464703,1424754,1424758,1425046,877475,865825,491040,275565,152301,152297,275542,490354,869477,1532482,255399831 Dl.O(d2) = 258192941,60421299,73167949,76870774,63762039,51948081,41642401,32733967,255430854,12368596,8357652,5394464,3317137,3317138,254739001,4470129,254227061,884594,499149,499147,884587,1555815,254336921,6885631,6885633,7099815,4470246,4470245,7099813,10445189,7099151,4469836,4469835,7099149,10745073,15144753,254738983,7099542,10745676,7099803,4470237,2685826,2685825,4470235,7099799,6885625,6885626,7099583,4470098,2685725,2685726,4470099,7099585,10745734,11006283,15877729,21971484,21084059,15144713,15144712,21084057,15708121,10874107,10874108,15708124,268210129,15537241,21557907,15537886,15537887,15536739,10745162,10445381,10445382,15145146,21084619,21084024,15144679,15144662,15144663,21084004,28290488,256928222,28290611,28290612,21855235,15783727,10934417,7234751,4560761,4560759,7234746,10934410,15783707,21852731,21852732,21072995,21072994,28276968,29161141,29162281,21853787,21853786,24372195,22099160,22099159,255570036,21853781,29161189,37720999,40616257,256055219,17974471,17974472,24372191,31902984,31902981,24372182,21904864,15824335,10966073,10966074,15824338,21852432,21852431,15825501,15825502,21906505,21855289,15783783,15783782,10934529,7234837,7234838,10934531,15781718,15781717,21852690,15781698,15781697,254754623,7258949,255430997,10932779,10932778,254515831,2754097,2742747,2742748,4560885,2754253,1596600,1596599,2754251,2754243,1596596,1596597,1589411,903552,509591,509590,903550,903332,903333,1589062,2742030,1589624,1589239,1589238,903676,903675,1589600,2742863,4561060,7235209,7233674,4560001,4560000,7233672,10932946,15781838,255844875,255042373,255042375,255844877,37369197,47278774,258069079,84978436,261117586 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8149106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162952, s2 = 14028839, int(edited[s2]) = 0 s1 = 14162952, s2 = 14028839, d1 = 3, d2 = 0 Dl.O(d1) = 5661591,8698078,5828770,3637042,3637041,2347709,2145676,1239889,1239888,1221349,689935,385211,220130,120918,120917,137121,137120,224742,125830,68435,37093,37098,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64461,64389,64385,64669,64665,118188,215490,389043,694407,1227249,2126968,3568510,5731214,8798536,255225627,12933402,12933401,255621685,255621683,32318993,41132757,51316336,61733316,50255039,50255040,61733317,74514866,81061074,67593300,55251627,44403767,44403768,55251628,61787061,257925206,59146477,47747748,40285292,31600406,31600405,40285279,50306535,61784458,50304863,40284228,256035351,24095782,31221080,39897956,40284013,31599481,24095634,17737405,17737406,24095635,31599484,40284017,50304650,61784280,50304649,40284016,40284015,50304646,41426075,32565889,24913560,24913530,24913529,32565830,41425966,51668061,268495060,31381883,31381884,40064681,50086117,47083723,37188345,37188346,47083725,58461773,70347240,57656997,46312759,36459963,28001186,21641702,20836923,20836921,28001740,36460533,39248512,30652671,30652670,36460518,36460517,30082982,22701108,22701106,28544806,21321191,21321189,28001054,20836323,20836324,21321197,17270428,12149259,12149261,17270436,21893215,17822025,12618329,12618327,17822016,24191136,31636196,24129083,24129082,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,14937402,10273223,6751325,254704571,14937396,20836411,28001166,30083011,30083012,28001137,28001136,28001211,20836440,14937413,10273228,10273227,14937411,20836437,256270333,46312773,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36458975,36458977,36459541,28000865,20836200,14937278,10273153,6751287,4230449,4230450,6751293,10273167,14937312,20836273,28000977,20836400,20836402,22701131,30083008,28544689,21321117,21321115,28544686,36460398,28001612,20836817,14937728,10273461,10273460,14937720,20836798,28001587,31067039,31067038,28975578,21693003,15652702,15652700,21692999,28975575,37519393,39745180,49763703,61242571,58814419,57656632,48365947,38464376,29907035,28001616,28001617,36460403,28001804,26137999,20836206,20836207,28000877,20836251,20836249,28000947,36459650,46312432,57656781,57656879,47867458,37949371,29384761,29384762,37949376,47500895,255469440,37949312,29384729,24054584,17700606,17700605,24054582,31559188,40245444,35199475,27109646,27109647,30595489,23176562,23176563,30595490,37455432,28916058,28916057,37455430,257463531,61743701,50265270,50265269,55424963,268637562,55424962,50265131,40245459,40245437,40245438,44577524,44577523,255469362,27109351,20208564,14501166,9978369,6558482,6558484,9978379,14501189,20208596,14501367,9978481,6558544,4108849,4108848,6558540,9978472,14501349,20208811,27109632,35199459,28743766,28743767,28346965,27109633,22352285,16201296,11262316,11262315,16201294,255906149,20208507,14501138,9978360,9978359,14501136,20208372,14501033,14501036,20208375,27109115,27109250,29924881,29924880,29707423,29707424,29707367,22352238,22352237,22352242,22352241,29707373,35198823,27109051,27109052,35198827,44577167,55424425,67764429,72303731,67764424,59205515,47806096,37882450,29313561,21985491,255877945,37882451,47806099,59205517,55424458,44577207,44577206,55424456,256810708,55425164,55425167,55424461,55424460,67764450,59205523,47806103,37882457,37882456,33977529,33977530,33977501,33977500,43034413,44577215,44577216,43034434,43034433,53512593,53512595,55424435,44577183,35198834,35198831,44577175,54709525,66968711,59569578,48183394,48183393,59569576,48183468,44578060,44578061,37324902,28788696,21524724,21524725,28788697,37324904,30589771,30589770,24291330,17909557,12688149,12688148,17909553,24291323,31806027,40501184,35198840,35198841,33977551,26138597,19442393,19442392,26138569,19442377,13912551,9548418,9548419,13912553,19442382,26138576,33977526,43034442,53512531,53512530,65536886,55425134,44578036,35199802,35199803,44578040,55425139,62027911,62027912,73533865,87152522,81230730,67764701,57847812,46491825,36625514,28152080,28152081,36625517,40489801,40489800,50525365,57702377,65536177,254714956,43032901,37479089,37479088,47386830,256285996,30590221,23171832,16908269,11833032,7908104,7908105,11833038,16908279,23171854,30590253,39187769,49116315,49116316,60518337,60727844,73476098,74510050,61728556,50249929,50249928,61728553,74510048,84248146,70696304,70696303,57978400,46601330,46601331,36713109,28220419,21025255,15101158,10415203,6865593,4308879,2576513,1483937,1483936,254220915,4308881,6865596,10415206,10415207,15101160,21025259,28220422,28220420,28220421,36713111,46601334,57978402,70696308,84248147,70984122,58269296,46903636,37026139,28528156,28528157,28528150,21306052,21306053,267883990,15511981,10728049,10728050,7837034,4974704,3004823,1745158,1745159,3004826,4974708,7088123,7088122,254160124,254336358,2681105,2681104,4462798,254737629,255842085,21524219,15512179,10728179,7088130,4462806,2681108,2681106,4462801,7088125,10728176,10728029,7088027,7088028,10728032,15511952,16908340,11833076,7908122,5026968,3042832,1771945,1771946,3042834,5026971,7908128,11833091,16908369,23171777,30590132,30590489,30590490,33639107,30590117,23171766,16908233,16908231,23171761,30590112,39187546,49116214,42668045,42668044,53119800,53120210,49116717,49116718,43212675,34125184,31549245,24045671,17693196,17047882,254560022,16444779,11457731,7621070,4821868,4821867,7621065,11457726,16444769,22631934,30001477,24045669,17693194,12514100,12514099,255529407,11959809,8006190,8006192,11959814,17047989,23309607,30727437,30727340,23309522,17047930,12044193,12044191,17138009,17138025,17138026,23309533,30727346,39325154,48485207,38572035,38572034,39325211 Dl.O(d2) = 12514077,8477912,8477914,12514087,17693176,24045638,30727353,23413263,17137809,267990865,8096875,12044053,16089994,22222851,256032126,38406197,255395676,27286791,35411922,35411927,35411928,36661215,28184577,22344510,16195295,11257901,7473563,4723144,4723143,255088863,22344500,29698233,254504726,15550698,10755232,254227126,16195290,16195291,22344504,29698238,255845316,59560152,60148739,48754392,38834329,30250673,22855926,16630266,16630267,22855928,22855957,16630279,11600321,11600320,16630276,22855947,30250709,38406205,44436808,47356406,43213387,34125849,34125851,26343964,23413201,17137764,17137765,23413203,30843057,39447431,49375889,44837171,38941292,30355065,22953216,22953215,23414081,17138479,12044527,12044526,17138478,23414078,23414089,17138483,17138482,23414087,30844046,37481879,28939812,21660862,21660861,17138550,12044567,12044568,17138553,17665845,24013472,31514246,29834392,22467676,16299615,11341261,7536841,7536840,11341257,16299606,22467658,16668249,16668248,22898597,30297027,25835801,25835800,25835606,19182447,13698745,13698744,13698704,9381895,9381896,13698660,9381861,6146252,6146254,9381866,13698668,19182330,25835452,33638412,25836349,19183072,19183074,19183027,13699301,9382338,6146552,6146553,9382341,13699305,19183032,25836294,25836540,33638437,25835470,25835471,33638441,42667947,33639036,33639037,33639019,25835960,19183081,19183080,25836362,25835771,25835772,23175826,23175828,30594653,39191952,41697514,41697515,36699621,28208688,28208687,30591388,39188900,39189694,39189693,49117996,60519541,53120027,42668449,33639039,256156128,39193721,39193720,39188903,30591394,30591393,254939100,53120355,53120356,49117330,49117331,39189762,39188936,30591434,30591433,30592227,23173576,23173579,23173691,23173690,30591017,30591014,30592246,30592376,255520967,16909598,11833929,7908713,7908714,11833933,11834068,11834479,11834480,255136067,5027682,3043376,3043377,267836285,1772744,1772742,3043891,5028305,254560417,3043385,267768599,569250,318812,176219,96850,96852,176222,318818,569228,569100,318728,176174,176173,176147,267740225,267740229,176345,319036,569619,1010647,569649,569376,569375,1010284,1772585,1773020,1010617,1010498,569520,318970,176314,176316,318979,569535,1010522,1010609,1773010,3044250,3043389,3043388,5027706,7909069,5028602,3044154,3044156,1773090,1010676,569641,569644,1010685,1773107,3044376,3044050,3044049,5028525,7909649,11835156,11835218,11835151,7909571,5028837,5028093,3043705,3043704,3044268,5028820,7909578,11835160,11835183,7909611,7909612,11835187,7909617,5028572,5028573,5028550,3044072,3044073,5028551,7910129,7910493,5028802,5028803,7910496,11836441,11835171,7909598,7909061,7909060,7910277,7910276,11832862,7907991,7907990,5028922,5028923,7910619,11835233,11835232,11836568,254560625,5028972,7910675,11836608,11836456,11836455,16912974,23177676,23177801,30594429,23175619,16911296,16911295,23175615,21303088,21303087,28524542,256313591,46900202,58266423,70981809,71376048,71376047,58639732,47246615,47246616,58639735,49046838,39117185,268829550,47246679,37336871,28799090,21533083,15518866,10732944,10732942,15518859,21533065,28799073,37336838,47246644,51317957,41134500,41134499,40259163,40259160,39197511,39197512,46674858,36788767,28292149,21085370,21085371,28292154,36788775,30520423,30520420,39118104,39117933,30520288,30520287,39117927,34100302,26237135,26237136,30520272,30520274,38358504,29786894,25818062,19168202,18298100,18298098,23893797,31389566,30519592,23103024,16845959,11780861,7865762,7865759,11780854,16845948,23103002,30519563,39117088,39197488,39405925,30801297,30801298,39116632,30519280,23102822,23102823,30519283,30520281,30520282,30519806,23103136,16846037,11780900,11780901,16845632,16846308,11781046,11781045,16846303,11781062,7865859,4992867,4992866,7865857,11781054,16846322,23103553,30520335,39117996,49047552,48242360,38332019,29761477,22399593,16238373,11289332,7495399,7495400,11289335,16238377,22399602,256406593,48242384,59629539,49046989,39117326,30519736,30519739,39117330,49046215,49046218,43391244,43391245,39117153,30519615,23103045,16845978,16845977,18085654,24515935,256574541,34099996,26236870,19519952,13973041,13973043,19519958,19519922,13973024,13973025,19519924,16845968,16845967,19519909,19519910,26236807,23103359,16846195,16846196,23103362,16846372,11781081,7865873,4992872,4992873,7865875,11781082,16846374,11781088,11781087,16846383,19519998,26236904,30520434,30520061,30520060,23103636,23103637,30520073,23103379,16846208,11780998,11780996,16846206,17710452,254865319,5490648,5490646,8489672,12528089,17710449,24066125,24679007,18213754,18154403,12873625,12873626,18154404,18213223,18213225,24678310,32287806,40861196,256327056,24516693,32090470,40794059,32036407,24473473,18052927,12863290,12863289,12863300,18139878,24583624,32169410,40948907,40948954,40948952,41097354,41097355,51111909,40969694,32190002,28318177,21107890,15162349,10456481,10456480,15162348,21107888,28318172,36814335,44834369,49047857,51092291,50994722,256574629,24516578,18086097,18086096,24516574,32090338,40860979,32090232,24516497,24516498,32090236,40860985,49427318,49427333,50994665,50994379,40860677,32089952,24516315,24516313,32089949,32090220,40860920,32090163,24516447,18086111,18086112,18086109,18086108,24516588,32090362,40861112,269388564,62615689,50994086,50994085,50994537,40860860,256574559,24516078,24516079,32089736,40860475,50994219,50994390,40860694,32089968,24516323,24516322,32089632,32089631,40860374,40860980,40860981,32090243,32090244,40860991,32090257,32090256,24516927,24516929,32090827,40860973,32090224,24516488,18086032,18086033,24516492,31049258,23564958,23564957,31049256,23564963,23564962,31049263,32089943,24516309,24516308,32089937,24516548,24516547,24516466,24515988,24515989,24516676,18086161,18086162,24516680,32090456,32089624,24516003,24516001,18085706,12821859,8717445,8717444,12821864,18085715,24515508,18085327,12821601,254624503,5674326,8717274,8717456,5674417,3529373,3529374,5674437,7642563,11490741,8717407,5674395,3529356,2100399,2100398,3529352,5674386,8717387,12821756,18085589,24515861,32089441,32090189,40860270,32089517,32089518,24516454,24516451,268460205,40860928,50994595,62615985,75553077,86532413,86532414,91849020,77924736,77924735,86532455,86532374,72933916,72933917,86532376,89858565,89858563,91849015,256178306,73530575,87149263,93477642,79344015,65978983,61460912,61460913,74239968,87845053,79095651,65739475,65739474,79095649,89858592,76065029,76065030,89858595,93211658,93211659,104933176,90752962,76874399,63765301,63765302,62752136,62752137,63070043,51381629,51381630,63070044,63069975,51381565,41191138,32372660,32372661,41191140,51381567,63069980,75699158,62752128,51120949,40978730,32198697,32198698,25657535,25657536,33425736,28964327,28964326,37507746,47415579,58802788,71531867,257228364,51381676,41191217,32372719,24754162,24754163,24754169,32372727,32372663,255695482,18279177,255228061,8831082,8831083,12973755,8835369,5757406,5757405,8835367,254889223,5694625,5694624,254889221,18137604,12927439,8794242,5728370,5728369,8794241,12927437,18137568,13157512,13157513,18518435,24580475,24580474,32165787,24825873,24825872,32464617,25056662,25056663,32748134,41658749,51966062,41658275,32747709,25056347,25056345,25056346,32747707,41658273,51381745,51381756,63070178,52642628,51339748,256699644,268521396,41658135,51965921,63781419,76891568,89891818,76090405,63089517,51397358,41204497,32384146,268716611,41154687,32339654,32339655,41154689,50840748,50840749,62424454,53846008,43321661,255308694,65913384,77723725,77723724,64541836,64541835,76891652,89891819,76891653,76891654,89053203,76065141,63070179,63070181,66956592,54697766,54697765,51586571,51586572,63305542,255621850,71183429,58461451,47083359,41154020,39197560,38328155,38328154,257444765,49045982,39116352,39116351,49045980,60449539,255516434,44574848,35196603,27107096,27107095,35196598,44574841,43185709,43185710,39117786,30520177,30520176,39096682,34100317,26237141,19520119,13973141,9595483,9595482,13973139,19520113,26237127,255516436,18261786,12958142,12958143,18261788,23103650,23103649,30520453,39118135,40909484,39115872,30518644,30518645,39115876,49045493,39116194,39116193,49045541,39115939,30518690,30518691,39115940,268240118,254810712,53697711,43185866,34100386,34100385,43185554,34100085,26236986,19520041,13973098,13973099,19520048,26224614,26224613,26237326,26237323,30520699,23103818,16846498,11781154,9595509,9595510,13973173,12879340,8759259,8759262,12879353,18161384,12879331,12879329,18161381,24610134,32198580,26415549,26415548,34291583,39115932,34291622,26415567,26415570,34291634,30519426,30519423,30520548,23103724,16846431,11781113,11781115,16846440,23103741,30520571,39118261,41226472,39117250,30519678,30519680,39117209,41658170,39117202,39117187,30519642,23103057,18114420,18114419,24550991,32131838,40909498,51051170,62681671,256358786,79262942,65900619,65900554,255057284,79262944,77736892,64554533,52654918,52654919,64554536,255057286,255864812,93389379,107811632,98645033,98645032,84714531,258052523,47048232,268613125,21401297,21401298,28642195,23730038,23730037,31214414,34692157,26697523,19877008,19877009,26697516,33106584,25371628,25371627,33106582,31727501,24220813,24220814,27255990,24220878,17850422,17850421,24220877,31727586,40419311,47177782,47177781,58566554,268961584,86874991,100855819,94365127,94365126,98801715,87018605,73404066,60658560,49259015,39333681,30735947,30735946,256976051,23316569,17052695,17052696,23316570,30735954,28655902,21412433,21412432,28655900,37174013,47066629,58442980,71082025,72640824,67610094,55268838,44421491,37110539,28601678,21368371,21368369,15423481,15423482,21412436,28655905,37174020,47066641,58442995,59928631,50841433,40735459,40735460,50841438,62425168,75324890,75324899,62425174,58348528,46979241,37095867,28589392,28589390,37095862,46979233,58348516,58397010,58397011,58443048,47066670,37174033,28655912,21412444,15423484,10662226,8697722,5661309,4402494,4402495,4407157,2642086,1526501,865755,492269,276463,152597,152598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162952, s2 = 14028839, dlinesl.size( ) = 2 s1 = 14162952, s2 = 14028839, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162952, Dl.E( ) = 6, 1.29e-05 seconds used appending s1 = 351737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7852431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7852431, s2 = 10188022, int(edited[s2]) = 0 s1 = 7852431, s2 = 10188022, d1 = 1, d2 = 1 Dl.O(d1) = 12966639,18270252,18531883,13167300,8975482,5859468,3657839,3657840,5859470,3657841,3657842,5761648,3588623,3588622,5761647,8840844,12986638,12986639,12986640,12986641,18295942,24775760,32399173,41223021,44479078,44479080,255118314,67665264,81132055,268960466,123639676,136719607,122887633,108623270,94336078,80279955,66850425,54591580,43847002,34575271,34575270,43847001,257653578,33453499,25681999,19058972,18389633,18389632,16417339,11433177,7616338,7616337,11451062,11610462,10025181,254986017,20301459,27230717,35353888,44778649,269652409,95608950,109812180,123949615,137628976,262098597,173730857,183506665,192053828,192053827,199407474,205629648,201434556,194422743,261962086,261120142,270816730,111872513,125689632,139028095,151730657,163607390,174446209,261120144,153223604,261139455,113337287,113337286,99334850,85391211,71803033,59062384,47662268,37740416,37740415,37740414,258717047,85391214,99334853,113337288,127195734,140541702,153223606,165042116,175773820,185285736,193583824,200696016,200696013,200696014,206696400,211653914,215706515,211653909 Dl.O(d2) = 12966639,18270252,18531883,13167300,8975482,5859468,3657839,3657840,5859470,3657841,3657842,5761648,3588623,3588622,5761647,8840844,12986638,12986639,12986640,12986641,18295942,24775760,32399173,41223021,44479078,44479080,255118314,67665264,81132055,268960466,123639676,136719607,122887633,108623270,94336078,80279955,66850425,54591580,43847002,34575271,34575270,43847001,257653578,33453499,25681999,19058972,18389633,18389632,16417339,11433177,7616338,7616337,11451062,11610462,10025181,254986017,20301459,27230717,35353888,44778649,269652409,95608950,109812180,123949615,137628976,262098597,173730857,183506665,192053828,192053827,199407474,205629648,201434556,194422743,261962086,261120142,270816730,111872513,125689632,139028095,151730657,163607390,174446209,261120144,153223604,261139455,113337287,113337286,99334850,85391211,71803033,59062384,47662268,37740416,37740415,37740414,258717047,85391214,99334853,113337288,127195734,140541702,153223606,165042116,175773820,185285736,193583824,200696016,200696013,200696014,206696400,211653914,215706515,211653909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7852431, s2 = 10188022, dlinesl.size( ) = 2 s1 = 7852431, s2 = 10188022, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7852431, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6425586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425586, s2 = 13253738, int(edited[s2]) = 0 s1 = 6425586, s2 = 13253738, d1 = 25, d2 = 47 Dl.O(d1) = 254201278 Dl.O(d2) = 21001413,15085390,10405029,6858866,6858867,10405033,15085399,21001424,21408650,18542413,13175258,13175259,15992387,11101959,7362443,4650510,2801218,2801215,4650502,7362435,11101947,7362456,7362455,255074445,21408664,255343792,10659875,15420417,15420400,15420402,21001446,15085416,10405044,7362331,7362330,11101737,254987162,254697796,15992210,22102308,15992134,15992135,22102310,29434738,22102269,15992097,15992098,11101817,11101818,15992201,15992235,15992236,11101970,11101971,15992426,21408836,255075896,11101926,11101925,15992360,22102568,22102661,15992434,15992435,22102382,15992223,11101835,254523988,7362297,11101692,15085412,10405040,6858872,4304528,4304529,6858877,10405048,254319208,22102313,15992142,11101761,7362338,4650456,2801191,1624906,923923,923924,1624910,2801200,4650472,7362371,7362383,7362451,4650515,4650514,7362448,11101966,15992417,22102372,22102294,15992118,11101743,11101742,15992116,21408742,15420497,10659937,10659938,10037983,10037981,7362293,7362295,11101690,15992049,15085430,10405057,6858884,4304532,4304535,6858889,10405067,254987188,28184514,28184498,21390028,15405702,10648358,7030823,4422888,254499937,10648354,15405693,21390017,22342875,22342874,19301067,13800197,9463509,9165090,9165091,12853043,8740439,8740436,12853035,18126187,17939415,17939416,24327545,24566390,18817039,13405434,12794991,12794992,18048916,15405675,10648344,7030816,4422879,4422878,7030812,10648333,15405662,15420529,15420530,21408782,254435118,8740530,8740531,12853186,12853090,8740470,5690221,3539875,2107250,1213648,684883,684882,1213643,2107238,3539851,5690241,7039587,10659885,11257116,16194100,21407644,28650090,28651337,24564122,18124630,12851918,12851917,18124628,254663422,24566298,18126262,12853096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425586, s2 = 13253738, dlinesl.size( ) = 2 s1 = 6425586, s2 = 13253738, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6425586, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 1288753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1288753, s2 = 4480305, int(edited[s2]) = 0 s1 = 1288753, s2 = 4480305, d1 = 35, d2 = 41 Dl.O(d1) = 32447212,24812152,268131793 Dl.O(d2) = 194328596,186125753,176713318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1288753, s2 = 4480305, dlinesl.size( ) = 11 s1 = 511623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 353251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9360374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9360374, s2 = 9381621, int(edited[s2]) = 0 s1 = 9360374, s2 = 9381621, d1 = 28, d2 = 14 Dl.O(d1) = 245495089,245630852,245648226,267406620,245217371,245054730,267348812,244697175,244499996,244288613,244060992,243816023,243552459,243268694,242965255,267053508,242291314,242640229,242291313,241914506,241506500,241066077,240591693,240080547,239529013,238931856,238282089,266442072,235918363,234970584,233928949,232785827,231520912,265589480,274205602,219463602,216167947,212190553,207321182,207321181,207321183,201415733,194399013,186209880,176817863,166202514,154470823,154470824,166202517,272887978,154470827,154470828,154470826 Dl.O(d2) = 18166895,256072477,256583055,51137976,62773693,75722236,89485826,103581647,117713052,131515915,144740264,157137667,168581075,168581076,178878648,187969701,184080912,174427464,174427463,174427466,163586766,151707589,139003169,139003167,125664214,111848185,97913915,84043199,70507929,70507928,84043198,97913916,99865617,85909957,72316494,259383565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9360374, s2 = 9381621, dlinesl.size( ) = 2 s1 = 9360374, s2 = 9381621, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9360374, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 7882228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7882228, s2 = 6616063, int(edited[s2]) = 0 s1 = 7882228, s2 = 6616063, d1 = 76, d2 = 63 Dl.O(d1) = 254948864,8946398,5839784,5839783,8946396 Dl.O(d2) = 256572032 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8267212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 500655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 356240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6531052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6531052, s2 = 97914, int(edited[s2]) = 0 s1 = 6531052, s2 = 97914, d1 = 43, d2 = 59 Dl.O(d1) = 255638853 Dl.O(d2) = 2181110,1264116,720435,720434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6626686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6569500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6569500, s2 = 14302891, int(edited[s2]) = 0 s1 = 6569500, s2 = 14302891, d1 = 22, d2 = 23 Dl.O(d1) = 256069020,18520702,13159253,13159255 Dl.O(d2) = 260943690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6569500, s2 = 14302891, dlinesl.size( ) = 32 s1 = 516769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 516769, s2 = 8104381, int(edited[s2]) = 0 s1 = 516769, s2 = 8104381, d1 = 0, d2 = 0 Dl.O(d1) = 270995957,98864505,84937609,71360900,58624149,47231308,47231307,58624148,58624147,58624148,268923086,47231306,58624145,63824956,52009018,41697250,32780859,25083487,18539460,13173098,13173097,18539459,25083485,32780857,41697247,42400221,33411125,25644183,19026864,13581009,254657083,6091649,9299151,13581011,255677535,33411128,257215411,64713714,77902505,259676553,120221062,261453621,106019026,106019025,120221066,120221067,134056261,147274809,262486029,159631123,159631124,156193248,156193249,263264097,189935627,197582338,189935624,181066606,170954517 Dl.O(d2) = 270995957,98864505,84937609,71360900,58624149,47231308,47231307,58624148,58624147,58624148,268923086,47231306,58624145,63824956,52009018,41697250,32780859,25083487,18539460,13173098,13173097,18539459,25083485,32780857,41697247,42400221,33411125,25644183,19026864,13581009,254657083,6091649,9299151,13581011,255677535,33411128,257215411,64713714,77902505,259676553,120221062,261453621,106019026,106019025,120221066,120221067,134056261,147274809,262486029,159631123,159631124,156193248,156193249,263264097,189935627,197582338,189935624,181066606,170954517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 516769, s2 = 8104381, dlinesl.size( ) = 2 s1 = 516769, s2 = 8104381, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 516769, Dl.E( ) = 2, 6.91e-05 seconds used appending s1 = 7961574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7961574, s2 = 1493442, int(edited[s2]) = 0 s1 = 7961574, s2 = 1493442, d1 = 51, d2 = 9 Dl.O(d1) = 254541863,1689882,1689883,2913118,4834508,7641750,11489433,16490288,16124414,16124411,16490345,11489444,11489443,16490339,14192408,14192409,16124795,16124793,22266017,18851946,18851947,22691174,16490148,16490149,22691185,23332342,17065714,13181630,8985235,5865964,5865963,8985230,13181620,18551852,25100264,30070669,22691109,16490097,16490095,16016295,16016297,11489280,11489281,16490075,11489468,11489469,11489342,7641693,7641694,7641720,4834495,254541865,11489366,16490223,16490365,16490366,22691507,30071126,38646896,30071166,22691533,16490376,11489458,7641759,4834513,4834512,7641758,11489457,16490372,22691522,26970525,20084781,20084784,26970539,35051850,43834641,34561796,34561797,38647050,41721886,32801909,32801910,34097307,41721876,32801904,25100238,18551837,13181613,13181612,18551830,25100228,32801880,31289277,31289276,23803013,23803012,23802972,17469931,17469932,23802976,31289322,39964340,39964382,39964381,48483453,48483454,48562406,59954610,48562418,48562417,41746042,41746041,42062173,42062172,43181851,43181853,41721851,39964427,39964429 Dl.O(d2) = 38184302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7961574, s2 = 1493442, dlinesl.size( ) = 2 s1 = 7961574, s2 = 1493442, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7961574, Dl.E( ) = 52, 1.91e-05 seconds used appending s1 = 8161396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 518925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 518925, s2 = 11655731, int(edited[s2]) = 0 s1 = 518925, s2 = 11655731, d1 = 3, d2 = 16 Dl.O(d1) = 13230664 Dl.O(d2) = 255646321,32880403,41802400,256401268,43924395,34651180,26659800,19845525,14217946,14217945,19845523,26659794,34651171,43924390,42815514,42815513,42767637,33737698,25930786,19268756,13772873,9442199,6189761,3873748,3873746,6189758,9442195,6189799,6189800,9442245,13772925,19268822,25930835,25930936,19268941,19268942,25930947,25350673,25350674,19269319,13773359,9442633,9442632,13773355,19268820,25930831,25931358,25931357,25930277,19268193,13772383,9441791,6189404,3873534,2319552,2319551,3873531,6189398,9441783,13772373,13772284,13772283,13772342,268307623,33737245,33737561,256464856,38286805,29720473,29720474,33737746,33737745,33737995,33737247,25930216,25930217,23137565,16877259,16877258,256103619,13177272,8982360,5864205,5864204,8982358,13177270,17535339,12367806,8357126,5394130,5394128,5394114,5394112,5394140,3316950,1951317,1951318,3316952,5394143,8357145,8982375,13177299,17976582,17976583,23814854,30063152,31301714,31301713,39976407,49992567,58847818,47462873,257472389,49991935,41704911,41704912,40060746,31378064,23881301,23881299,31378062,40060743,39976046,31301376,31301377,39976042,39976041,49992228,50082210,40060740,31378061,31378060,31300921,31300920,39975573,49991745,60777846,49376403,39448058,32326299,32326300,39448064,39448062,49376395,49376394,40935848,40935849,40935860,32157677,24573451,24573452,32157679,39976276,49992434,60777861,60509912,268956198,30577794,23160941,23160940,30577793,32114137,24537006,18103773,18103772,24537004,32114134,40887708,43294798,43294799,53819760,256975678,69954622,57306265,46033688,46033686,57306260,69954612,83492360,88133286,74521143,61739297,50260745,40241230,40241231,50260747,61739300,74521149,88133292,96079752,97401341,100558622,88177416,258280750,61699578,50217585,50217586,61699580,61699587,61739289,50260736,40241226,31555033,31555032,40241224,50260733,61739286,70784940,70784941,72999298,60263809,48871098,48871099,60263812,72999303,74482587,74482560,61699561,61699562,58113830,58113829,48871140,48871117,38951424,30365133,30365132,38951422,48871114,60263828,60263840,72999326,61699569,50217581,50217580,61699567,74482559,72999316,60263831,60263832,60263842,48871125,38951431,30365138,22963210,16726682,16726681,22963208,30365134,256399980,40195314,257665491,257499341,47848248,59244694,47848254,41537993,32649845,24977947,24977946,32649843,41537990,51817731,50637287,40589521,31882523,24977953,18457340,13112108,13112109,18457343,24977957,31882515,24356050,17962010,255600595,30868938,30868940,30868946,23440649,17167014,12070744,8117093,5200216,3172524,3172526,5200222,8117101,8117061,8117060,12070689,12070834,8117143,8117144,255151715 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 519907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7941373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 520364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 520364, s2 = 6438530, int(edited[s2]) = 0 s1 = 520364, s2 = 6438530, d1 = 9, d2 = 140 Dl.O(d1) = 13272048 Dl.O(d2) = 254420629,8594360,12658539,17875162,24252716,21162639 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162458, s2 = 7834253, int(edited[s2]) = 0 s1 = 14162458, s2 = 7834253, d1 = 17, d2 = 15 Dl.O(d1) = 214146586,217779565,273790246,262476804,181480719,260876236,134884688,121082621,106822796,92511216,78471623,65187545,53202450,42753410,33724152,254923904,19255773,254651788,254697656,19530240,26247480,34111455,43197598,53709208,65765936,55311584,256745247,35089294,44465682,55311588,67650979,67650978,81117550,95175988,109432127,103413694,89320478,87885950,74283728,61507173,50028970,40010317,258259237,32961089,25239691,18670055,13278191,9062731,9062732 Dl.O(d2) = 254791704,10351302,10351301,13292644,13292645,9075086,5934778,5934779,9062845,9082062,5940046,3714259,2224149,1290100,736404,736402,1290088,2224111,3714195,3704238,2218567,1470968,832032,832034,1470974,2225578,2225577,2229011,1292677,1292676,2229008,3722709,5952732,9098252,13298108,13298109,15022562,268198585,10352530,10352531,10306126,6831050,6831049,10368676,14948931,10283131,6842306,6842304,7774992,9070242,255247659,25250946,28310483,36807318,33601826,33601827,42626352,34116826,26252213,26252212,33726157,25919481,25919479,254213420,46675695,48796369,38874048,254095486,41243797,48184457,48184456,42449872,33456683,33456682,42449871,254966320,25795957,255281193,9364377,9364378,13674448,19150398,13674460,13674458,19150409,19150453,25796033,33592010,33591997,33591998,255661794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162458, s2 = 7834253, dlinesl.size( ) = 18 s1 = 8040190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8356486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 522493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6573533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6573533, s2 = 7172058, int(edited[s2]) = 0 s1 = 6573533, s2 = 7172058, d1 = 122, d2 = 126 Dl.O(d1) = 256114499,9101035,5954808,3723965,2229699 Dl.O(d2) = 221564447,218692150,263549796,206090440,199972468,192732458,184313311,174690539,163872578 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 522924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9417566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9417566, s2 = 7556698, int(edited[s2]) = 0 s1 = 9417566, s2 = 7556698, d1 = 3, d2 = 0 Dl.O(d1) = 76294553,63273036,63273037,269985710,52303546,41962993,41962994,52303445,41962882,41962883,52303447,64155109,77303576,91223428,105445822,112602827,98607448,84682454,71117912,58400249,47028405,37140121,37140122,42132528,42132527,52487988,47705619,37784738,29222957,29222958,37784741,29224911,21909157,21909156,29224909,37786832,47707871,51316127,51316126,62995165,59405352,52487987,52302768,52302769,64154530,71844648,59106013,47707875,47707874,41963197,41963198,52303748,47028414,37140126,28626959,28626958,37140124,47028409,58400255,64154545 Dl.O(d2) = 267858917,2230742,1293693,738387,419735,236889,130685,130686,267742631,738397,1293716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9417566, s2 = 7556698, dlinesl.size( ) = 2 s1 = 9417566, s2 = 7556698, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9417566, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7992994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7992994, s2 = 8060290, int(edited[s2]) = 0 s1 = 7992994, s2 = 8060290, d1 = 12, d2 = 16 Dl.O(d1) = 257776218,23550264,23550263,256068882,14459835,14459836,20156279,27049071,35134760,44511717,53749319,256660868,49726655,39708117,31031149,31031148,39708114,49726650,256670656,41976216,34291041,26415048,19679000,19678999,25305285,25305288,31029816,28969496,25306554,18730965,13334307 Dl.O(d2) = 25306553,33033129,41976199,52316591,54683388,54717392,256440102,255497614,26701735,26701736,34696323,43970799,43970800,43949236,34674565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 430054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 523691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6469918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6469918, s2 = 15505020, int(edited[s2]) = 0 s1 = 6469918, s2 = 15505020, d1 = 55, d2 = 61 Dl.O(d1) = 254884680,15506800,10724265,10724264,15506796,254965334,15663405,10842990,9119327,5966991,5966990,9119323,10842964,7167985,7167984,10842957,15663369,10976001,10976000,15663022,11591294,10789460,10789459,11814067,16884598,23144703,28990459,21706359,15664611,10843782,7168466,7168468,7168518,10843874,10843884,15662810,10842654,10842657,10842975,15662803,10843516,10843514,15663329,15662935,10842768,7167876,4514491,2712615,1571365,893407,893408,1571371,2712624,4514503,7167889,10842755,13346027,9119313,9119314,13346034,10842951,7167979,7167980,10842624,15662761,21703858,21925111,28902187,21627569,15596691,15596689,16884589,23144691,28876046,21704749,21704748,21706328,15664605,15664593,15664594,15664732,15664749,15662820,10842663,7167816,7167817,7167989,10842971,15662800,10843090,10843089,10842720,10842719,10842751,7167862,4514480,2712608,2712600,2712599,4514456,7167804,7167884,10842783,15663006,18746091,13346016,13346017,18746097,15663345,15662772,10842629,10842630,15662780,21703891,28987382,37441835,28902174,21627561,21627562,28902179,28988748,28987547,21704008,21704007,28987543,28990433,21706333,21706334,21704030,15662860,10842683,7167827,4514465,4514466,7167833,10842690,15662887,15663557,15663558,21703955,21703954,15663000,10842744,10842743,10842712,10842618,7167796,7167797,10842638,10842775,15663033,21704260,21704264,18746080,18746081,25325028,28988452,28987356,21703865,21703866,21703881,28987370,37532181,47348630,37441827,28902168,28902166,37441817,37532341,28987536,21704002,21704003,28987540,37532349,28987571,28987572,23161232,21704024,21704022,21703935,15662826,15662827,15662868,21704048,28987600,28988752,28988750,37532221,28987762,21704216,15662989,15662990,21704118,21704116,256348069,28987391,37532199,47440337,58826906,47440673,37532566,37532567,47440676,269790766,37532370,28987558,28987556,37532367,47440528,58827008,58826964,58826965,58736352,49023230,47440474,37532328,37532327,47440470,47440459,37532316,28987520,255421271,15662846,21703993,28987432,21703938,21703937,28987428,30784308,37532160,37532159,37532382,28987566,28987568,37532389,37532459,28987647,21704100,21704098,28987641,28987395,28987396,30578371,37532211,47440367,52336243,49106304,49106300,49106299,47440351,47440349,49106319,49106272,49106273,58826958,58826957,49106412,49023226,39094287,30498462,30498463,39094292,47440477,47440478,49106450,39176113,30578342,23161341,23161331,23161330,28987509,37532305,37532246,37532247,30747519,23326012,23325994,23325991,23325999,30747492,37532375,37532374,39347175,39347176,37532444,28987635,28987636,37532450,47440344,47440343,42697861,42697860,53148480,49106308,39175979,30578242,30578244,39175986,39176509,39176510,39176548,30578651,30578650,39176071,30578301,30578302,30498473,23085171,23085170,30498466,30578391,30578392,39176187,39176105,30578332,23161333,23161334,30578325,37532301,47440445,39347140,30747539,23326023,17060076,11968228,11968227,17060070,23326007,30747510,30747554,23326054,23326053,30578642,30578641,39176542,47201973,42697870,33667051,25860730,25860731,33667060,42697884,39175944,30578220,30578221,39175948,30578622,23161551,16899985,16899983,23161544,30578696,39176595,39094323,30498489,23085178,23085177,30498484,39094316,30579232,23161968,23161967,30579227,39176280,30578547,30578427,23161376,23161375,23326084,17060113,11968247,8011824,5100446,5100444,8011814,11968234,17060089,23326045,30747566,30747571,39347170,39347387,30747767,30747766,39347382,49273503,60673807,60510600,60510482,52384715,49273288,49273287,39347372,30747759,30747760,30578683,23161539,23161540,30578689,23325983,17060050,11968220,11968221,17060057,16899955,16899954,23161491,30578602,25325057,23326156,23161514,23161516,23161408,16899906,11826969,11826970,16899912,17060155,11968270,8011835,5100453,5100454,8011839,11968277,17060175,23326197,30747708,30747711,39176427,30578577,30578578,39176431,49106732,60510586,49273521,49273388,47441196,47441198,49106367,39176021,30578264,30578263,39176015,40227889,31541500,24038298,24038297,30747441,23325968,17060043,17060042,23325963,30578590,30578591,39176465,39176477,33053607,30747729,30747732,30578721,30578474,23161401,23161400,30578468,30578487,23326116,17060125,11968255,8011827,8011828,11968259,17060131,23326131,30747686,30747722,30747720,38074189,29509921,29509923,38074198,39347344,39347343,49273469,47441206,37533288,37533290,47441214,49106347,39176007,39176006,49106342,49273415,49273418,40227902,40227903,39347052,30747432,30747412,30747413,30747421,39347045,31814792,24299277,24299278,31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106 Dl.O(d2) = 273313316,260850635,105390641,91168633,77250228,64103577,52254791,52254790,64103575,77250227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6469918, s2 = 15505020, dlinesl.size( ) = 2 s1 = 6469918, s2 = 15505020, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6469918, Dl.E( ) = 64, 1.79e-05 seconds used appending s1 = 14190539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 525518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 363956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 363956, s2 = 14298846, int(edited[s2]) = 0 s1 = 363956, s2 = 14298846, d1 = 0, d2 = 5 Dl.O(d1) = 9152922 Dl.O(d2) = 33115658,257890954,51074291,48684202,48684203,48684194,48684195,38762673,38762672,48684375,60080607,50600851,40559915,256052683,8640579,12716875,17946395,24336237,31858324,40559913,257692401,74902680,88541095,102547807,259762801,80326309,66898737,66898738,54641296,43898111,34625935,26636204,19824286,268042993,6418222,4026495,2412864,1396626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 363956, s2 = 14298846, dlinesl.size( ) = 2 s1 = 363956, s2 = 14298846, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 363956, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 14162504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162504, s2 = 16029577, int(edited[s2]) = 0 s1 = 14162504, s2 = 16029577, d1 = 10, d2 = 8 Dl.O(d1) = 257333281,68115206,81603922,95636738,258554587,68115207,81603924,95636742,95636740,95636739,273444428,159278084,146908478,133655904,119786097,105552738,105552737,105552739,91334921,77416288,64266338,52410953,42067077,33118079,33118078,42067075,257571206,38864333,30278944,22881457,16652801,16652802,22881460,29951086,255560524,58135059,46767354,36889184,36889186,31683642,24175339,17807406,17807405,22587408,22587409,29951092,38515571,47259522,37350054,28811482,28811481,31901439,28375273,28375271,33522195,25742212,19108489,268029531,6119496,6119497,9342570,255278677 Dl.O(d2) = 24518709,24518710,31959638,24411835,18003397,12759282,8671599,5641726,5641727,8671612,7698694,4872479,4872477,7698687,11566663,9680724,6367222,6367221,9680719,8671569,8671568,12759217,15788887,10938670,10938667,15788874,21861408,29171098,21891318,15813933,10958847,10958845,15813929,16905336,16905573,23168941,29204500,37766108,47687676,59086688,71827144,85415141,99358198,113360081,127218559,125348165,111529223,97588453,83714974,70193270,257219270,256867406,48146822,59533984,72267975,85859661,97588200,97588201,111528974,98196969,84300754,70749102,58034831,46662069,36776741,255806773,21075849,24136018,24136019,31642726,38237108,48146823,58314942,71030833,70749097,58034818,46662048,36776711,28280711,28280710,36776688,268374808,49077248,39147527,30549790,30549791,39147529,36776677,36776675,46662013,49229031,39302101,30704422,30704425,39302106,48202830,48202831,255011466,254716160,38293406,38293407,39493221,39493222,39739573,31061828,23578285,17266554,17266552,23578283,31061824,29726649,22370041,16215388,11272148,11272147,16215386,22370038,17266573,12146066,8175774,5245284,3203739,3203741,5245289,8175785,8246980,5318672,5318671,8246977,12216792,12146074,255158271,17266566,12146063,12146064,17266569,23578308,31061854,31061802,23578265,23578266,31061804,31251400,31067672,23583331,17439084,12292747,12292746,12292764,17439113,22547940,22370007,22370006,267879724,16215413,11272160,7482691,7482690,8302385,8302386,12292725,16215392,16215391,22370043,29726651,33748146,25940532,25940533,31305647,25481428,18879119,18879118,21660759,15624513,15624512,21660758,28939704,22358693,254222884,28289913,27054789,27054788,35140384,29226429,21910445,15828622,15828621,15828637,15828636,21910468,29226457,37788431,47709439,42122664,37788428,37788429,47709436,59107533,47709405,47709406,59107534,71846201,85431797,99373060,99620791,85672296,72086039,59352888,52701486,42314331,33333912,28610485,28610484,37120779,47006935,58377253,58377250,58377251,47011925,37124866,37124865,35801803,35801805,45396485,56484515,69016307,56484513,56484514,69016309,82542856,91694253,81829275,68305309,55868489,55868488,68305308,81829274,95887521,95422734,81377705,67907802,55548182,44677962,44677963,55548188,258240220,72936774,72936913,72936912,60197719,60197718,72936930,75318663,75318662,87932404,74329395,74329396,77111965,91007027,105204697,119415783,133262924,133262919,270957884,133262920,133262921,146500358,133262922,120914681,120914684,120914672,119415780,119415781,129122139,133018312,133018311,129122144,129122143,129122136,115190251,101112111,87114072,87114073,84527059,84527055,98449019,112438511,126303339,126303340,126303341,139676080,152399197,140198259,126850422,112996891,99007717,99007718,100533569,86572823,86572822,260047861,128447527,126850174,112996634,99007483,259946263,126850176,140198072,152889161,164721004,175475204,185015630,193346835,200496828,206534752,206534753,211524655,215601626,218971167,221815063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162504, s2 = 16029577, dlinesl.size( ) = 6 s1 = 526431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7553493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8083324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8083324, s2 = 11928346, int(edited[s2]) = 0 s1 = 8083324, s2 = 11928346, d1 = 54, d2 = 36 Dl.O(d1) = 262764010,59592242,48205821,38296536,38296538,33845658,33174143,25431483,18837233,13421083,9176203,9176202,13421079,18837219,25431456,33174114,256097898,46623685,38192268,29625590,29625589,36735501,28240465 Dl.O(d2) = 225552957,223308259,220710979,217658715,273289974,209545340,214001050,263793308,217658718,214001053,273050822,204114450,209545340,263426424,274379725,225552959,223308263,220710983,217658718,214001053,273050822,197605666,260977532,147331580,147331581,259140102,260383750,261542240,274148103,223308258,264416490,220710979,217658715,217658716,264122756,263426422,262566722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8083324, s2 = 11928346, dlinesl.size( ) = 40 s1 = 13342761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13415197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13415197, s2 = 354191, int(edited[s2]) = 0 s1 = 13415197, s2 = 354191, d1 = 50, d2 = 45 Dl.O(d1) = 13976531,13976532,19523585,26240750,34104218,43189915,53701644 Dl.O(d2) = 5726103,5624648,5624645,8648007,8935280,13110486,18455241,24975408,24976258,32647783,41535312,51814530,63602131,256086982,52128232,41812309,32889374,267807096,18620414,25180038,24932176,18420666,18420665,18421338,13084567,9635425,9635423,13155703,18246193,18515906,13155754,13155751,18161479,12879389,11183477,11183474,16100670,22235687,254307538,48062350,254946814,30803143,39407776,49337135,60740412,256709692,101106822,115185336 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 528022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 528022, s2 = 246427, int(edited[s2]) = 0 s1 = 528022, s2 = 246427, d1 = 4, d2 = 0 Dl.O(d1) = 13434409 Dl.O(d2) = 6011638 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 528265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 528265, s2 = 14556898, int(edited[s2]) = 0 s1 = 528265, s2 = 14556898, d1 = 19, d2 = 5 Dl.O(d1) = 13439242,9188571,9188572,13439244,18862345,256129237,42170197,39178022,39178023,49107978 Dl.O(d2) = 38278632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 528265, s2 = 14556898, dlinesl.size( ) = 2 s1 = 528265, s2 = 14556898, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 528265, Dl.E( ) = 22, 1.31e-05 seconds used appending s1 = 14162642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162642, s2 = 2371062, int(edited[s2]) = 0 s1 = 14162642, s2 = 2371062, d1 = 20, d2 = 19 Dl.O(d1) = 143116670,129786950,122335874,122335875,136318100,136202509,122236169,107828671,107828669,122236166,136202506,149454236,136202022,136202023,129786734,115888568,101844087,87872152,74270677,61493999,50016189,50016188,61493993,74270670,259504465,107828017,269494762,123909920,136201621,122235281,107828502,107828501,113816623,101844235,87872250,79345612,79345614,93479414,93404846,93404848,107828525,107828553,259642396,122236068,260259158,127684105,113816614,113816615,127684112,139522599,126147021,112286849,98304506,98304507,112286855,98901570,84976534,71402526,58668067,58668071,59526507,59526506,72260065,85851043,88333318,74705738,74705739,88333325,79277028,65913741,65913739,59526500 Dl.O(d2) = 37697504,47620721,59024172,256934914,85358174,99303293,113307097,127167023,115025363,100969426,86983589,258127766,49224004,39296918,39296917,49224001,60625249,73370930,60625256,49224007,39296920,30699268,23283621,23283622,24222534,17851332,12641999,8583771,5577676,5577675,8583782,12642008,255590657,31730582,40424252,50461770,257681818,61372482,61372483,74152770,87756973,99478591,99478590,101729383,114554301,115774394,104147785,90023082,76218907,76218906,74152776,74152775,84420057,71944172,59205107,47805721,47805722,59205111,71944177,85532144,257405320,70570883,256287674,46512413,46512414,57868840,70570852,84107735,84365741,70807064,70807063,70570874,256287686,46512427,57868844,46512416,46512417,57868845,70570858,84107739,73493275,60744255,57868879,46512442,36644778,255011160,20988947,28169385,268065358,36644758,28169374,28169373,36644756,46512408,57868834,58090246,70807079,73493288,84607046,71043163,71043164,60757919,58327701,46960403,37079714,28575735,21346893,21346892,28575734,37079712,46960399,58327699,46960406,37079716,28575739,21346894,21346896,28575745,37079728,30820292,23391585,23391584,30820290,256484501,30820286,39425051,47106781,49354804,39425096,39425097,49354806,57624734,46280067,36426958,36426957,46280064,57624730,58327725,71043189,71206942,58485063,58327678,46960377,37079701,28575731,21346891,15371527,10621399,7009775,7009776,10621401,255398417,28575752,37079744,46960440,58327659,46960358,46960357,46960422,46960421,58327717,49354808,49354807,60757955,61298765,58327665,46960364,37210016,37210017,47106764,58484964,71043168,258049364,58327722,46960426,46960427,47106874,37210106,37210107,37210156,28685955,21436071,15441604,10675662,7051367,4438386,4438385,7051366,10675659,15441598,21436059,28685929,37210110,47106877,47106832,37210070,28685911,28685912,37210075,37210062,28685904,21436046,21436047,21436036,15441587,10675652,10675654,15441588,21436037,28685891,37210036,256867271,37210113,28685930,256326555,37210130,28685939,28685941,37210096,37210095,47106860,58485058,58437723,58437724,268920229,28685915,28685914,37210079,47106842,47106817,37210057,37210058,37210060,37210050,28685898,28685897,37210049,47106809,58485015,58485066,58485067,47106914,37210142,28685946,21436066,21436067,28685949,256867275,58485128,256990150,84776073,84337145,255946142,71206973,71206972,84776070,84230480,70677031,70677030,258641220,73345616,258640306,60600540,49199906,49199907,60600542,57958261,57958262,57958230,57958231,70677021,70677013,57958212,46581684,36695207,28204708,28204707,36695205,46581679,57958239,46581710,46581709,50129272,40108542,31428601,31428603,39012400,30423013,30423012,39012397,30423043,30423044,34972588,26893717,26893718,23017917,16777615,11730548,7831666,4971382,3002795,1743881,1743883,3002796,4971386,7831675,11730566,255511237,30423168,23017938,23017939,256455807,48935910,39012525,39012524,39012584,39012583,48935958,39012601,30423200,30423201,30423148,23017925,16777616,16777617,23017929,23881289,17535345,17535344,23881285,31378049,40060722,50082196,61562532,270386937,40353085,31658411,24148306,17916367,13833581,13833582,19342900,24299075,17916353,12693673,8623290,8623292,12693678,17916361,21171932,15213202,10494046,10494044,15213190,21171917,28391074,30615293,255522431,16927230,23194888,30508173,30508174,39104806,37210149,28685950,28685951,37210151,38259710,29694129,29694051,22340773,22340770,22340771,22340792,22340793,29694079,38259795,38260007,46377266,38222650,29656657,29656655,38222645,43851926,37837829,37837828,46377136,46377137,38208711,38208710,46377279,36518080,28053438,20884375,14981642,10313609,6784159,4252883,4252881,6784156,10313600,14981622,20884338,28053383,36518000,38222703,38222702,29656740,29656739,28053318,20884297,20884296,268222097,16049594,22174210,29515861,38080383,29515970,25677074,19055136,13603146,9314719,9314718,13603143,19055129,25677062,29271618,21948798,21948796,29271612,29515926,31285198,39960087,46377158,36517928,28949661,21669947,15633331,15633332,21669952,23465715,30899294,39506701,49437559,46619612,42911832,256387206,33866278,39506706,30899300,30899301,36517914,29515949,22174270,22174271,28308507,36805485,46689487,47864030,42441242,33448160,25677187,19055194,19055195,21464869,21464868,25677043,25677059,25677058,33448026,29515898,29515897,33448098,25677123,25677124,33448099,37475537,33448014,25677054,25677055,33448018,33448021,33448022,37475435,28933912,28933913,27230916,27230915,25677039,25677040,33448001,42441102,37251974,28721102,21464863,21464864,23194809,23194808,30615180,39211655,37816837,29251567,29251568,37816839,37475559,37475558,47382896,47382878,37475534,28934011,28934013,28933987,28933986,31685416,38254649,37475442,28933925,21656207,21656205,28933918,24176798,21656235,21656236,28933975,21656240,21656239,28933979,37475509,47382856,258076101,85071393,81575453,68085464,68085463,81575451,95609292,109812702,123950378,260150560,126507739,112642938,98646118,84715650,84715649,98646117,260523192,58566884,269085686,28740011,37272187,47178099,58566886,71298918,7129893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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162642, s2 = 2371062, dlinesl.size( ) = 12 s1 = 8049045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 528750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1732610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 366493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 509166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 509166, s2 = 530242, int(edited[s2]) = 0 s1 = 509166, s2 = 530242, d1 = 0, d2 = 0 Dl.O(d1) = 12954185,13482145,13482144 Dl.O(d2) = 12954185,13482145,13482144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 509166, s2 = 530242, dlinesl.size( ) = 2 s1 = 509166, s2 = 530242, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 509166, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 16338772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16338772, s2 = 15897642, int(edited[s2]) = 0 s1 = 16338772, s2 = 15897642, d1 = 35, d2 = 30 Dl.O(d1) = 216689322,212794126 Dl.O(d2) = 262625094,163565297,151685052,139060480,138980518,125642265,271287653,70490354,57789636,46434487,36569972,268906698,57742994,70438020,83965092,97825297,111748873,125556191,138889329,151591161,163472730,174318172,183978182,264152521,199729511,205893068,210990856,215156895,218587963,221476086,223950644,226093061,227958928,229597970,231054753,232362308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16338772, s2 = 15897642, dlinesl.size( ) = 2 s1 = 16338772, s2 = 15897642, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16338772, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 8063400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8063400, s2 = 9454844, int(edited[s2]) = 0 s1 = 8063400, s2 = 9454844, d1 = 24, d2 = 18 Dl.O(d1) = 18962831,18962830,25571948,21472580,18322500,13005993,13005994,10552970,6960103,6960104,254652841,254331933,2623639,4380892,6970902,4379299,2622837,1513794,1513793,2622830,4379279,6970870,254828171,5194166,5194165,8107116,6969974,6969975,5199483,3172099,1856878,1856879,3172105,5199493,8115917,12069232,17150279,12053796,8104124,5192459,3168450,1855102,1058855,595450,332007,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272090,2622135,4377900,3790854,3790853,6058628,9250897 Dl.O(d2) = 145087117,131827606,259587868,89750404,75971433,62989228,51310731,44836450,44836449,256074978,257137100,100268069,100268068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8063400, s2 = 9454844, dlinesl.size( ) = 2 s1 = 8063400, s2 = 9454844, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8063400, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 10346772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10136617, s2 = 9357551, int(edited[s2]) = 0 s1 = 10136617, s2 = 9357551, d1 = 9, d2 = 7 Dl.O(d1) = 10538243,10538244,9234162,6949783,4367061,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700262,15295650,15295652,13513801,255063766,6048203,3784737,3784736,6048200,4093207,2448889,2448888,3796603,6068012,9264295 Dl.O(d2) = 12958255,8818142,5744844,4506111,2707851,2707852,2708376,1569309,1569311,2708306,3778176,6039349,7155055,10825633,15642846,21682085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10136617, s2 = 9357551, dlinesl.size( ) = 2 s1 = 10136617, s2 = 9357551, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10136617, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 7882296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8188934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 97451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 97451, s2 = 9131059, int(edited[s2]) = 0 s1 = 97451, s2 = 9131059, d1 = 6, d2 = 6 Dl.O(d1) = 1253363,2165656,3626220,5813186,8908148,13072721,268134435,24909428,32560722,41420288,258358771,58379745,47008759,47008760,47008767,37122062,28611447,28611448,256860087,58379754,71096438,84659434,80288483,66859016,54600778,43857492,43857491,54600777,66859014,80288481,94344687,108631936,122896259,136727990,147945619,134825909,260687398,259472566,65150293,53165944,42716291,256491034,16108499,16108498,12729494,12729493,17963288,20822234,14924346,10262602,10262601,14924343,13684450,13684451,255007714,33611083,42636840,37439654,33351625,25591096,18981791,18981792,15069639,12924850,8792436,6074027,3800454,2276413,2276412,3800453,6074022,9272831,13545108,18981793,19337493,13828789,9484525,9484526,6319664,3961631,2372881,2372884,3961642,6319541,3961535,2375453,2375455,2390576,1383767,1383770,2377539,1376176,1376178,1383780,1374095,782143,782144,443569,249779,137859,137861,249789,443595,782385,254211043,3963887,6322972,9624393,14006702,19557580,26278420,34144645,26278424,26278423,256701539,53744576,65800750,79156772,93275652,107684556,93275655,93275656,107684561,122068328,261513355,261562154,149238133,136005911,122068326,122068327,113438543,99436674,85495117,85495116,71910103,71910104,59172098,47773239,47773238,59172095,71910097,59172092,47773237,268049482,29282240,29282244,29282243,37850173,255752070,47773241,37850171,37850172,47773242,59172101,71910107,85495126,99436685,97684781,258739124,85629265,259980623,97684782,83827255,70302283,70302282,83827253,70302281,57611814,46267336,36414675,36414674,36414678,27956569,20795107,20795106,27956568,36414676,46267338,57611817,70302285,65780834,53724245,43212355,34124898,26259292,26259293,34124900,43212358,257604660,65780836,65780835,79135474,93250742,107653456,122027688,112548149,98554131,84630226,256740416,47313916,37404970,37404969,47313915,50718929,40653231,40653230,46981094,256303148,21359321,15381449,10629396,10629395,15381448,21359319,24396284,17994509,12754184,8668611,8668612,5639932,3505469,3505468,5639930,8668610,12754182,12958716,8818551,5745158,3577372,2132004 Dl.O(d2) = 1253363,2165656,3626220,5813186,8908148,13072721,268134435,24909428,32560722,41420288,258358771,58379745,47008759,47008760,47008767,37122062,28611447,28611448,256860087,58379754,71096438,84659434,80288483,66859016,54600778,43857492,43857491,54600777,66859014,80288481,94344687,108631936,122896259,136727990,147945619,134825909,260687398,259472566,65150293,53165944,42716291,256491034,16108499,16108498,12729494,12729493,17963288,20822234,14924346,10262602,10262601,14924343,13684450,13684451,255007714,33611083,42636840,37439654,33351625,25591096,18981791,18981792,15069639,12924850,8792436,6074027,3800454,2276413,2276412,3800453,6074022,9272831,13545108,18981793,19337493,13828789,9484525,9484526,6319664,3961631,2372881,2372884,3961642,6319541,3961535,2375453,2375455,2390576,1383767,1383770,2377539,1376176,1376178,1383780,1374095,782143,782144,443569,249779,137859,137861,249789,443595,782385,254211043,3963887,6322972,9624393,14006702,19557580,26278420,34144645,26278424,26278423,256701539,53744576,65800750,79156772,93275652,107684556,93275655,93275656,107684561,122068328,261513355,261562154,149238133,136005911,122068326,122068327,113438543,99436674,85495117,85495116,71910103,71910104,59172098,47773239,47773238,59172095,71910097,59172092,47773237,268049482,29282240,29282244,29282243,37850173,255752070,47773241,37850171,37850172,47773242,59172101,71910107,85495126,99436685,97684781,258739124,85629265,259980623,97684782,83827255,70302283,70302282,83827253,70302281,57611814,46267336,36414675,36414674,36414678,27956569,20795107,20795106,27956568,36414676,46267338,57611817,70302285,65780834,53724245,43212355,34124898,26259292,26259293,34124900,43212358,257604660,65780836,65780835,79135474,93250742,107653456,122027688,112548149,98554131,84630226,256740416,47313916,37404970,37404969,47313915,50718929,40653231,40653230,46981094,256303148,21359321,15381449,10629396,10629395,15381448,21359319,24396284,17994509,12754184,8668611,8668612,5639932,3505469,3505468,5639930,8668610,12754182,12958716,8818551,5745158,3577372,2132004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 97451, s2 = 9131059, dlinesl.size( ) = 2 s1 = 97451, s2 = 9131059, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 97451, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 533058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 533058, s2 = 369259, int(edited[s2]) = 0 s1 = 533058, s2 = 369259, d1 = 2, d2 = 11 Dl.O(d1) = 13552331 Dl.O(d2) = 9277796,268027771,9349887,13654055,19123717,19025596,13580069,9298475,9298476,13580073,11400161,11400160,13175580,13175581,13610220,9319561,9319562,13610288,19064768,25605924,25712090,25712094,19103443,19103444,18993482,18993483,19102525,25735273,33386340,33599089,27213589,20285122,14555143,10015166,6582504,4124195,2467296,1426214,1426213,2467291,4124177,6582469,10014980,10015216,14555230,14555588,10015412,10015410,12470227,12470225,13563200,19004445,17870703,17870701,17871995,12656057,11308677,7508056,7508054,11308693,11119404,7375318,7375319,11119414,13669869,11307883,11307880,16264051,19009810,22432789,16265132,11308569,7507992,7507991,11308560,12652164,8590271,8590273,8590188,5581807,5581808,8590155,5581922,5581921,8590391,12652100,12652101,17866231,268305638,35248882,257100349 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7575542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7575542, s2 = 12642142, int(edited[s2]) = 0 s1 = 7575542, s2 = 12642142, d1 = 3, d2 = 7 Dl.O(d1) = 268300493 Dl.O(d2) = 6083983,6083984,9287267,13564459,13564994,13564993,19006634,19029354,21156991,15201367,15201368,13646661,13588073,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468780,18581715,25134620,18582148,13205213,13205215,13205205,13205204,18582132,25135964,31754688,24242957,24242956,31754686,38350060,31753664,25625093,23874162,23874163,25800778,19154475,19154476,25800779,25624698,20284998,14555036,14555035,20284995,25620401,25789527,255402110,17868312,17868313,17440576,12293977,254590803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7575542, s2 = 12642142, dlinesl.size( ) = 2 s1 = 7575542, s2 = 12642142, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7575542, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7863601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7863601, s2 = 533783, int(edited[s2]) = 0 s1 = 7863601, s2 = 533783, d1 = 1, d2 = 1 Dl.O(d1) = 259991340,109380857,258748196,67600256,67600255,81068434,259155971,109380865,261551443,137303973,259991340,109380857,258748196,67600256,67600255,81068434,259155971,109380865,261551443,137303973,259991340,109380857,258748196,67600256,55258568,44410993,35036487,26956490,20072427,17088872,17088871,17531356,18788414,18788402,13382904,255380176,16267935,11310917,11310918,10961902,10961901,15817828,21896140,29210028,23633643,23633644,18535467,13170234,254638669,1270396,1270398,2189103,3345340,5441831,8429757,12460936,17637141,17237591,268249467,26316497,26316643,19591342,17842797,12635212,12635208,12636824,8579935,5574693,3458121,3458124,5574703,8579969,12146769,12146771,17267319,17846224,17846226,24216654,24216921,19652533,14086459,9689129,9689131,14086466,19652543,24216173,19660780,14094648,14094647,19663202,19663199,19663198,19654140,14087702,14087704,19654144,22163678,22163676,20797423,14904348,14904349,11102209,7362604,7362605,11102216,15992816,16411546,11427301,11427303,9695062,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526317,10454563,8327087,8327086,6929647,4353662,2607633,2607635,4353675,6929675,7531160,5029314,4452157,4452159,7071405,10703435,15478043,19663539,19663538,26397565,29251454,21930666,19653671,268094664,16883407,11812968,11812969,16883408,23143487,19653769,14087420,9689720,6373582,6373581,9689717,14087417,19653763,19455504,13923006,13923005,19455502,26154479,28111550,23190059,16923210,11843764,7915342,7915341,5219307,3183852,3094376,3094379,5098098,7827001,4968111,3000684,3000685,4968113,7489757,7489758,4788536,4625714,4625713,3225277,1890739,1078929,605978,337214,337215,605981,1078936,1890746,3225289,5270757,5255542,5255541,3211813,3211811,4624614,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,7307440,7316275,4618493,4618492,7315815,4618269,254520153,5276385,5276384,8205030,267993303,5275470,3229679,3229680,5275471,5242948,3201663,1874568,1874570,3201666,5242955,5295984,3246974,3246975,1906959,1906957,3248345,5234884,3195218,3195216,5234878,3222588,3222587,4613749,3229176,1893610,1893611,3229179,4957937,2993323,2993321,3215090,1883521,1094766,614580,341661,187432,102356,56286,31717,31716,56283,102348,187412,254105231,919314,1616288,1877142,1877141,3204896,5246772,5258877,7570772,7570771,9646076,6342201,6342202,9341978,13558600,9282719,9282721,12041818,17135020,13619239,13619223,13619222,13619229,13619228,9360671,6131339,6131340,9360678,13630842,9333633,9333631,13630703,13670774,9361663,9361661,13670768,19129106,19123617,19092409,18980319,13543875,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304677,13556180,9336381,6115469,6115470,9304553,13588867,13600074,13600075,10484433,6912588,4341603,4341602,6912583,10484424,9844312,9844313,14330516,19134709,19134710,18827209,18827210,21156267,254503804,36870357,33424508,33396836,25630888,25630887,255277197,9330195,6111611,6111612,9330197,13625625,12622872,8569044,8569043,12622896,17827596,19087628,19102829,13638941,13638942,15915228,11036536,7310878,7310880,10015029,13654733,254660609,6124533,9350408,255279497,19081522,19081523,25135985,256895769,29058195,29058194,25674810,25674811,25620206,19005954,13616402,9323639,6107385,3821381,3821379,6107384,9323635,13616396,19073001,17644148,268000671,5449181,5449180,8439321,12470063,14328477,20007057,16014813,13657483,13657482,19127962,17872671,12656559,12656558,17872669,256045307,21763919,15707647,10873731,10873729,8592539,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,7424773,11190106,7424746,5685983,5685985,7014443,6085296,3807621,3807619,6085291,254930815,13567596,19010034,25624694,33390168,42378602,52777471,49888441,49888440,39866234,31183720,31183719,39866232,31183724,23693858,17371352,12239239,8264892,8264891,12239236,17371348,19061652,24327508,31847239,40545303,33773101,257238911,65247729,59102337,47704239,37783519,29221866,21906602,21906603,21906604,15825575,10966901,10966900,15825573,15558826,10761818,10761817,10761712,7110606,7110607,7110623,6011784,6011785,4477123,4477124,5302666,8230953,10761776,10761778,12182247,8213525,5284385,5284384,8213519,12182236,17305044,17305133,23619409,18856788,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,10761927,15559001,21583197,28856070,23313125,17050368,17050370,21582900,15558801,10761802,7110651,7110652,10761806,15558807,21582910,28855652,37396485,37396937,42161561,37395144,28854554,28854553,37395142,47304566,37398825,37398824,47305826,58696187,47305897,47305896,38000477,38000476,39779695,31101918,23617563,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100411,39778851,49798654,61277975,60657403,49257144,49257143,39780878,35062006,26978814,26978815,23617784,17303980,12181463,12181464,17303982,23616812,17303447,12181190,8212898,5284020,5284019,8212894,255143652,23617883,17304020,17304021,254820872,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617260,31101509,39780088,49799607,61278401,52525445,52525446,58696667,269024064,39779040,31101689,31101690,39780249,33206399,25458843,25456003,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455784,29059979,21764523,15708223,10874173,7189605,7189607,10874178,15708230,12019860,12019861,17105774,17105664,12019784,12019783,17105659,23375117,30802798,28854302,21581828,21581829,28854306,37394907,30802784,30802781,39407389,39015616,30426784,30426783,25457777,18858437,13436373,13436374,18858440,20313314,27244721,35368624,44793257,55700816,68098362,81588195,95621964,109826444,123966310,137647917,150645548,151595749,138894871,125562201,111754726,270969766,258326184,57747241,46396471,268705838,28068763,23860242,17516730,17516731,23860245,31353766,36864839,28366780,23676518,17356518,12226944,8255167,8255170,12226914,17356458,17356688,17357135,12227337,12227334,17357131,17516464,12352196,8345472 Dl.O(d2) = 259991340,109380857,258748196,67600256,67600255,81068434,259155971,109380865,261551443,137303973,259991340,109380857,258748196,67600256,67600255,81068434,259155971,109380865,261551443,137303973,259991340,109380857,258748196,67600256,55258568,44410993,35036487,26956490,20072427,17088872,17088871,17531356,18788414,18788402,13382904,255380176,16267935,11310917,11310918,10961902,10961901,15817828,21896140,29210028,23633643,23633644,18535467,13170234,254638669,1270396,1270398,2189103,3345340,5441831,8429757,12460936,17637141,17237591,268249467,26316497,26316643,19591342,17842797,12635212,12635208,12636824,8579935,5574693,3458121,3458124,5574703,8579969,12146769,12146771,17267319,17846224,17846226,24216654,24216921,19652533,14086459,9689129,9689131,14086466,19652543,24216173,19660780,14094648,14094647,19663202,19663199,19663198,19654140,14087702,14087704,19654144,22163678,22163676,20797423,14904348,14904349,11102209,7362604,7362605,11102216,15992816,16411546,11427301,11427303,9695062,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526317,10454563,8327087,8327086,6929647,4353662,2607633,2607635,4353675,6929675,7531160,5029314,4452157,4452159,7071405,10703435,15478043,19663539,19663538,26397565,29251454,21930666,19653671,268094664,16883407,11812968,11812969,16883408,23143487,19653769,14087420,9689720,6373582,6373581,9689717,14087417,19653763,19455504,13923006,13923005,19455502,26154479,28111550,23190059,16923210,11843764,7915342,7915341,5219307,3183852,3094376,3094379,5098098,7827001,4968111,3000684,3000685,4968113,7489757,7489758,4788536,4625714,4625713,3225277,1890739,1078929,605978,337214,337215,605981,1078936,1890746,3225289,5270757,5255542,5255541,3211813,3211811,4624614,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,7307440,7316275,4618493,4618492,7315815,4618269,254520153,5276385,5276384,8205030,267993303,5275470,3229679,3229680,5275471,5242948,3201663,1874568,1874570,3201666,5242955,5295984,3246974,3246975,1906959,1906957,3248345,5234884,3195218,3195216,5234878,3222588,3222587,4613749,3229176,1893610,1893611,3229179,4957937,2993323,2993321,3215090,1883521,1094766,614580,341661,187432,102356,56286,31717,31716,56283,102348,187412,254105231,919314,1616288,1877142,1877141,3204896,5246772,5258877,7570772,7570771,9646076,6342201,6342202,9341978,13558600,9282719,9282721,12041818,17135020,13619239,13619223,13619222,13619229,13619228,9360671,6131339,6131340,9360678,13630842,9333633,9333631,13630703,13670774,9361663,9361661,13670768,19129106,19123617,19092409,18980319,13543875,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304677,13556180,9336381,6115469,6115470,9304553,13588867,13600074,13600075,10484433,6912588,4341603,4341602,6912583,10484424,9844312,9844313,14330516,19134709,19134710,18827209,18827210,21156267,254503804,36870357,33424508,33396836,25630888,25630887,255277197,9330195,6111611,6111612,9330197,13625625,12622872,8569044,8569043,12622896,17827596,19087628,19102829,13638941,13638942,15915228,11036536,7310878,7310880,10015029,13654733,254660609,6124533,9350408,255279497,19081522,19081523,25135985,256895769,29058195,29058194,25674810,25674811,25620206,19005954,13616402,9323639,6107385,3821381,3821379,6107384,9323635,13616396,19073001,17644148,268000671,5449181,5449180,8439321,12470063,14328477,20007057,16014813,13657483,13657482,19127962,17872671,12656559,12656558,17872669,256045307,21763919,15707647,10873731,10873729,8592539,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,7424773,11190106,7424746,5685983,5685985,7014443,6085296,3807621,3807619,6085291,254930815,13567596,19010034,25624694,33390168,42378602,52777471,49888441,49888440,39866234,31183720,31183719,39866232,31183724,23693858,17371352,12239239,8264892,8264891,12239236,17371348,19061652,24327508,31847239,40545303,33773101,257238911,65247729,59102337,47704239,37783519,29221866,21906602,21906603,21906604,15825575,10966901,10966900,15825573,15558826,10761818,10761817,10761712,7110606,7110607,7110623,6011784,6011785,4477123,4477124,5302666,8230953,10761776,10761778,12182247,8213525,5284385,5284384,8213519,12182236,17305044,17305133,23619409,18856788,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,10761927,15559001,21583197,28856070,23313125,17050368,17050370,21582900,15558801,10761802,7110651,7110652,10761806,15558807,21582910,28855652,37396485,37396937,42161561,37395144,28854554,28854553,37395142,47304566,37398825,37398824,47305826,58696187,47305897,47305896,38000477,38000476,39779695,31101918,23617563,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100411,39778851,49798654,61277975,60657403,49257144,49257143,39780878,35062006,26978814,26978815,23617784,17303980,12181463,12181464,17303982,23616812,17303447,12181190,8212898,5284020,5284019,8212894,255143652,23617883,17304020,17304021,254820872,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617260,31101509,39780088,49799607,61278401,52525445,52525446,58696667,269024064,39779040,31101689,31101690,39780249,33206399,25458843,25456003,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455784,29059979,21764523,15708223,10874173,7189605,7189607,10874178,15708230,12019860,12019861,17105774,17105664,12019784,12019783,17105659,23375117,30802798,28854302,21581828,21581829,28854306,37394907,30802784,30802781,39407389,39015616,30426784,30426783,25457777,18858437,13436373,13436374,18858440,20313314,27244721,35368624,44793257,55700816,68098362,81588195,95621964,109826444,123966310,137647917,150645548,151595749,138894871,125562201,111754726,270969766,258326184,57747241,46396471,268705838,28068763,23860242,17516730,17516731,23860245,31353766,36864839,28366780,23676518,17356518,12226944,8255167,8255170,12226914,17356458,17356688,17357135,12227337,12227334,17357131,17516464,12352196,8345472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7863601, s2 = 533783, dlinesl.size( ) = 2 s1 = 7863601, s2 = 533783, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7863601, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 13501079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8621702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8621702, s2 = 11655749, int(edited[s2]) = 0 s1 = 8621702, s2 = 11655749, d1 = 13, d2 = 5 Dl.O(d1) = 80327628,94382699,108669815,122934106,136765113,122934098,108669805,108669803,122934081,122934080,136765103,122934103 Dl.O(d2) = 122934098,108669805,94382684,80327613,66900143,66900142,80327611,94382679,94382674,80327608,66900141,54642812,43899809,34627554,26637727,19825668,19825669,26637730,34627560,43899818,54642817,52819304,42417842,33427189,25658867,19039929,13591230,9306197,9306196,13591229,19039928,25658865,33427186,42417840,52819296,269293327,36441701,27982670,27982669,36441697,46294647,257995057,83854312,83854306,70329172,70329171,70329168,57638916,46294636,36441687,27982663,27982662,36441685,36438725,27979652,20815740,254996353,6741359,6741358,10258893,14919186,20815733,26322874,19596413,14041156,14040509,9653883,6347934,3982898,2387081,2387080,3982896,6347931,9653880,14040506,19595675,26322013,34194601,34194600,34194604,255473474,53817502,65885459,79249226,93376401,87865062,74262885,61485676,50007539,50007540,61485678,61485670,61485671,74262881,87865061,101837639,115882540,129780849,143110742,155662050,149415476,136165910,136165909,136165918,122203449,122203448,136165916,149415480,161706266,165984255,165984256,176627162,186044666,194254454,186044667,186044668,179289854,169004725,261207820,260030760,118024801,131850820,145109156,261754900,169651663,158277437,145909332,132691305,118872641,104691609,104691608,118872639,132234562,118418855,104259463,104259464,104259462,260226279,261391279,157860356,169285965,179289870,179289871,188339695,188339693,188339694,179289863,169004730,157543080,145109159,131850834,118024814,103882064,89780548,76003142,63019756,63019757,76003144,86337056,100298682,114328701,128211321,141567260,154227949,165984266,170109322,158749319,146379139,146379140,149585588,136316245,260251364,93477705,79344121,65979147,53912047,43387790,43387791,53912048,65979148,75651531,62706347,51076011,40934411,32156408,24572418,24572417,254908402,18130969,12856249,12856250,18130971,19677481,14106496,9703215,9493659,6226302,3897891,2334370,1367790,779069,441961 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13281249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13281249, s2 = 4349942, int(edited[s2]) = 0 s1 = 13281249, s2 = 4349942, d1 = 57, d2 = 42 Dl.O(d1) = 37309409,28775608,28775607,37309411,47215629,48340826,42683162,37088537,30742231,30742232,39341296,42684194,53135250,50127502,50127501,50301722,40281566,32444194,32444193,41283515,51497867,63208102,76219075,74564049,256612404,40281453,31597232,255436916,17735638,24093595,31597229,25660638,255274149 Dl.O(d2) = 167707662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13281249, s2 = 4349942, dlinesl.size( ) = 30 s1 = 9348779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 534747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8116679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13191079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13191079, s2 = 15906386, int(edited[s2]) = 0 s1 = 13191079, s2 = 15906386, d1 = 61, d2 = 14 Dl.O(d1) = 8270961,254207936 Dl.O(d2) = 13531433,13531432,254896840,28210773,21017464,19663606,14094993,9694395,9694396,9693622,6375655,6375657,9693627,14093714,17122510,12146015,12146016,17266492,18330421,24821913,32459558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13191079, s2 = 15906386, dlinesl.size( ) = 2 s1 = 13191079, s2 = 15906386, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13191079, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 535862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 342852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 342852, s2 = 872220, int(edited[s2]) = 0 s1 = 342852, s2 = 872220, d1 = 124, d2 = 2 Dl.O(d1) = 8617296,8617298,12686341,9330419,9330415,8968244,8968240,13157548,18518500,19085088,13625912,9330388,6111718,3824040,2291022,1329213,758901,758902,1329219,2291036,3824063,6111753,9330456,13626018,9330439,9330438,13626012,19085079,19085078,25712710,19084980,19084981,25712826,33487644,33487842,25713007,25713008,33487847,33157246,25416378,19085117,13625932,13625931,19084829,25712591,25712974,25712889,25712890,32590311,31529336,24027123,17676579,17676580,24027127,25056456,21276274,15314452,15314451,19085069,13625901,9330376,6111709,3824032,3824027,3824028,2291030,2291029,3824010,6111680,9330324,13625821,19084931,13626001,13626003,19085234,25713157,33487470 Dl.O(d2) = 22313077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 342852, s2 = 872220, dlinesl.size( ) = 2 s1 = 342852, s2 = 872220, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 342852, Dl.E( ) = 136, 3.81e-05 seconds used appending s1 = 535945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6535423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 109778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 109778, s2 = 14086336, int(edited[s2]) = 0 s1 = 109778, s2 = 14086336, d1 = 0, d2 = 0 Dl.O(d1) = 25991758,19320770,13815530,13748153,9419780,6172026,3861972,2313552,2313558,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345717,9345715,9364812,255281259,25796505,256670241 Dl.O(d2) = 25991758,19320770,13815530,13748153,9419780,6172026,3861972,2313552,2313558,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345717,9345715,9364812,255281259,25796505,256670241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 109778, s2 = 14086336, dlinesl.size( ) = 2 s1 = 109778, s2 = 14086336, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 109778, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6441372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 40774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9066791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9409344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9409344, s2 = 6981127, int(edited[s2]) = 0 s1 = 9409344, s2 = 6981127, d1 = 1, d2 = 1 Dl.O(d1) = 227555928,225611881,223376556,220790522,217752959,214113284,209680328,204277446,197801693,190201577,181399615,171378282,160159081,147910956,272025671,106744938,92440094,78404019,65121848,53136693,42685845,33655550,25850785,19195286,13709282,9389952,6151797,3849355,3849354,6151796,9389949,11775379,15397405,15397423,14124356,9717304,6392641,6392638,6151789,4011792,4011791,6392677,9717390,13709429,19195523,25851112,33655941,26438511,26438508,34317268,38172631,29605779,256394581,48084898,43415425,34314323,26436017,19697292,14123027,14123026,15008777,15008778,20914164,22254053,16115659,11194513,7427813,7427814,11194516,16115663,22254058,17906473,17906472,268110630,40497133,34316944,26438241,24484845,18061952,12805382,254623907,254623905,12805380,18061946,20118194,22254713,16116085,254770773,7427934,4693747,4693748,7428021,11194885,16116311,16115340,11194338,7427736,4693629,2828074,2828076,4693639,7427755,11194387,15700493,15700492,21754240,15700505,15700503,21754263,24485077,255235028,42748310,33719058,25912476,19250657,13755267,13755266,19250655,25912473,33719056,257235331,65182263,258444496,259701746,106818060,106818059,260912185,262504589,160249132,171463338,181476079,263372727,197853345,204320488,264186918,175355030,262184820,126721577,112870468,98883391,270297857,47255630,37346172,28807948,255411212,15524564,21540713,28739035,28946879,21667529,15631434,15631435,17495853,22245112,16108173,14563346,14563345,20294469,20293445,14562428,10020660,10020662,14562433,16522477,16522476,11514999,11515000,10001579,10001577,8129551,8129552,7082176,7082175,10719711,15500663,254737060,21621348,21625776,18690536,18690537,25262052,30104357,22722778,22722777,24654206,21523462,21218146,20344439,20344440,24255314,255249654,28087902,28087901,268064056,25879367,19220188,254913344,28900621,37440655,35404988,27279129,27279130,35404989,255000670,22464654,16296415,16296417,11338603,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594220,2750367,4572074,7250441,10954648,11613396,14598223,15808976,21885233,23939117,17595198,17595199,20839732,14940349,14939420,10274824,6752458,6752457,7482082,6837002,5578168,3460955,2052358,2052359,3460959,5578175,8584489,12643045,17852825,17498521,14611226,10053888,10053887,14611220,11532292,7671952,4854374,4854373,7671949,7671955,6752294,6752293,10274549,12342297,8338317,8338318,6811495,4272241,4272238,6811466,8575699,12630596,17836678,24206507,31714152,257097557,61930637,74724215,88352278,102348420,116441626,113509844,99498374,85551511,71963936,255417456,37906076,29337286,22005908,22005906,29337279,37906066,47827796,48499824,48499823,59893904,268680458,257652004,128127964,259507398,165915560,261291730,194204512,201242420,207166825,263627002,219350499,222144688,274211108,226628294,228444942,230041735,231458273,232727430,265896436,266025848,236739904,237530635,238248471,267006669 Dl.O(d2) = 227555928,225611881,223376556,220790522,217752959,214113284,209680328,204277446,197801693,190201577,181399615,171378282,160159081,147910956,272025671,106744938,92440094,78404019,65121848,53136693,42685845,33655550,25850785,19195286,13709282,9389952,6151797,3849355,3849354,6151796,9389949,11775379,15397405,15397423,14124356,9717304,6392641,6392638,6151789,4011792,4011791,6392677,9717390,13709429,19195523,25851112,33655941,26438511,26438508,34317268,38172631,29605779,256394581,48084898,43415425,34314323,26436017,19697292,14123027,14123026,15008777,15008778,20914164,22254053,16115659,11194513,7427813,7427814,11194516,16115663,22254058,17906473,17906472,268110630,40497133,34316944,26438241,24484845,18061952,12805382,254623907,254623905,12805380,18061946,20118194,22254713,16116085,254770773,7427934,4693747,4693748,7428021,11194885,16116311,16115340,11194338,7427736,4693629,2828074,2828076,4693639,7427755,11194387,15700493,15700492,21754240,15700505,15700503,21754263,24485077,255235028,42748310,33719058,25912476,19250657,13755267,13755266,19250655,25912473,33719056,257235331,65182263,258444496,259701746,106818060,106818059,260912185,262504589,160249132,171463338,181476079,263372727,197853345,204320488,264186918,175355030,262184820,126721577,112870468,98883391,270297857,47255630,37346172,28807948,255411212,15524564,21540713,28739035,28946879,21667529,15631434,15631435,17495853,22245112,16108173,14563346,14563345,20294469,20293445,14562428,10020660,10020662,14562433,16522477,16522476,11514999,11515000,10001579,10001577,8129551,8129552,7082176,7082175,10719711,15500663,254737060,21621348,21625776,18690536,18690537,25262052,30104357,22722778,22722777,24654206,21523462,21218146,20344439,20344440,24255314,255249654,28087902,28087901,268064056,25879367,19220188,254913344,28900621,37440655,35404988,27279129,27279130,35404989,255000670,22464654,16296415,16296417,11338603,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594220,2750367,4572074,7250441,10954648,11613396,14598223,15808976,21885233,23939117,17595198,17595199,20839732,14940349,14939420,10274824,6752458,6752457,7482082,6837002,5578168,3460955,2052358,2052359,3460959,5578175,8584489,12643045,17852825,17498521,14611226,10053888,10053887,14611220,11532292,7671952,4854374,4854373,7671949,7671955,6752294,6752293,10274549,12342297,8338317,8338318,6811495,4272241,4272238,6811466,8575699,12630596,17836678,24206507,31714152,257097557,61930637,74724215,88352278,102348420,116441626,113509844,99498374,85551511,71963936,255417456,37906076,29337286,22005908,22005906,29337279,37906066,47827796,48499824,48499823,59893904,268680458,257652004,128127964,259507398,165915560,261291730,194204512,201242420,207166825,263627002,219350499,222144688,274211108,226628294,228444942,230041735,231458273,232727430,265896436,266025848,236739904,237530635,238248471,267006669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9409344, s2 = 6981127, dlinesl.size( ) = 2 s1 = 9409344, s2 = 6981127, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9409344, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10143003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10143003, s2 = 14162317, int(edited[s2]) = 0 s1 = 10143003, s2 = 14162317, d1 = 7, d2 = 11 Dl.O(d1) = 43355224,43356470,34256529,26379094,19645025,14080485,9684805,6370236,3997212,254211815,788369,788368,1386190,2395394,3997202,6370226,9684791,6370273,6370272,9684844,9395043,254453939,3851172,6155064,254940041,19204060,20025764,14343446,9854421,9854409,9854408,14330439,10485189,6913103,6913104,10485193,7508616,4746221,2860349,1660116,267752567,532828,944641,1660123,2860368,4746261,254779057,6120393,3829298,2294197,1331128,1331129,2294201,254451631,9344159,13646015,268303665,26891046,20009967,20009968,26891049,30557921,23140728,16880559,16265924,11309083,254533443,4746018,7508264,11309077,16265919,13646602,13646601,19114167,25752261,33540890,35337912,27213918,20285483,20285481,20285496,27213928,255048080,42471383,42378051,33389493,25623894,19009314,19009313,256139785,18989083,13550137,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,8439419,8439417,12470194,12470214,12656075,12656074,17872023,13620275,9326420,9326419,11119332,11119333,16014751,22129535,29464334,38026501,40453072,31758354,268138778,12654584,8591707,8591706,12654579,17869866,21888690,15812087,10957703,7252900,4573958,4573959,7252903,5358397,3293824,1937197,1106526,1106525,1937195,3293821,5358393,8304852,12296340,269144994,34990370,44368665,34990517,26909503,20025759 Dl.O(d2) = 26379142,20025802,20025803,26379133,26379134,26379151,26379152,34256686,26909532,20025778,20025779,20025782,14343463,9854438,6473146,4056545,2428105,2428103,4056543,6473143,9854432,14343455,255717457,19645088,20025754,20025753,26909492,20025768,20025770,26379130,19645073,255717455,34256662,43356592,34990526,34990525,31257664,23772935,23772934,31257662,39932554,37734350,29173641,29173643,34990532,26909535,26909536,31257659,39932548,257643525,74205701,259498907,270328786,53881116,53881115,257303103,34990505,26909490,26909489,34990503,34990509,44368800,49949630,55219996,55219997,67563652,65948119,53881081,53881080,65948117,67563666,55220013,256737397,34990537,44368828,55220011,59158225,70444100,57748974,57748975,70444102,83971475,85385597,83971481,257401948,46398178,41948061,41948060,52288701,64140727,77272274,64124874,52275722,41936817,32995968,32995970,254909722,36472068,34607440,26619323,19809788,19809787,26619321,34607438,43878082,54620457,66878334,80307950,70977707,256825382,46894427,58261729,70977706,79130209,73234514,60487669,49084373,49084372,43205076,43205077,268911012,30556903,23139487,23139486,30556899,39154499,31822014,31822013,37562570,29016010,29016009,37562569,47469414,58853458,60487679,60487680,61698267,58722796,58722795,71453458,85025787,98950958,99072270,99072271,113060907,125435462,258012964,97711158,256285142,255371266,46291664,42276065,42276064,52663391,64564302,77747410,71591750,58869153,58869151,48516865,38602111,34641237,26649749,19836204,14210374,14210373,19836202,26649747,34641234,43914650,49134892,60534982,60534983,60534984,73279332,257998983,46347600,36489810,28027264,20859923,14958425,14958426,20859926,28027269,36489818,46347610,46347623,36489830,28027273,20859931,14958429,10291537,6765612,4240069,4240068,6765610,10291532,12073799,17171735,255231820,39483239,36489828,36489826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10143003, s2 = 14162317, dlinesl.size( ) = 2 s1 = 10143003, s2 = 14162317, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10143003, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 540353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13459595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13459595, s2 = 540704, int(edited[s2]) = 0 s1 = 13459595, s2 = 540704, d1 = 1, d2 = 1 Dl.O(d1) = 61979863,74776218,257835756,258678993,65176302,53190694,53190695,65176303,78460601,67786672,55443215,53190794,44593023,44593024,55443203,66922737,54666180,43923611,43923612,42741211,33711584,25905178,25905179,25905165,19244232,13750040,9421371,9421370,13750038,255693369,33711569,42741193,53190718,50490255,50490254,42741170,33711545,25905151,25905150,25905169,255286783,13750042,13750044,13750045,19244238,25905177,33711583,40659532,50729247,62261407 Dl.O(d2) = 61979863,74776218,257835756,258678993,65176302,53190694,53190695,65176303,78460601,67786672,55443215,53190794,44593023,44593024,55443203,66922737,54666180,43923611,43923612,42741211,33711584,25905178,25905179,25905165,19244232,13750040,9421371,9421370,13750038,255693369,33711569,42741193,53190718,50490255,50490254,42741170,33711545,25905151,25905150,25905169,255286783,13750042,13750044,13750045,19244238,25905177,33711583,40659532,50729247,62261407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13459595, s2 = 540704, dlinesl.size( ) = 2 s1 = 13459595, s2 = 540704, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13459595, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6536071, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 541880, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1069244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9567234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9567234, s2 = 14496710, int(edited[s2]) = 0 s1 = 9567234, s2 = 14496710, d1 = 25, d2 = 18 Dl.O(d1) = 259465470,99384612,113384092,127240760,262209207,175812298,263882083,264202135,200724072,263215908,140585199 Dl.O(d2) = 256166201,42865546,259079993,58540454,47152078,37246767,28715787,28715788,28715802,21460015,268384970 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6660830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6660830, s2 = 14238832, int(edited[s2]) = 0 s1 = 6660830, s2 = 14238832, d1 = 19, d2 = 14 Dl.O(d1) = 255930078,32134423,24553381,18116491,12846243,8735849,8735848,12846242,18116489,24553378,29483325,38046705,47959794,59350444,72083579,71179625,256228424,257319764,37184267,28663484,21417907,15427608,15427607,21417904,28663480,32592580,255633591,12745442,8661529,5634410,3501556,2081296,1196714,673962,673964,1196719,674158,674161,1197242,2082385,2082639,1197349,1197351,2082672,3503758,3502230,3502229,5635403,5635105,255210133,24384535,257054632,13837443,9491365,6224615,3896766,2333660,1352556,771505,438288 Dl.O(d2) = 255212563,256568583,257703251,75390364,89135377,75390360,75390358,89135375,259412283,72717418,72717412,59980473,268955759,38672778,48588946,48588907,48588906,59980409,72717349,72717397,59980461,59980462,59980459,59980458,72717345,59980448,59980447,72717386,86314212,100275485,87641279,74037833,61257880,49779059,49779058,258239857,74037814,61257866,61257867,72717342,59980405,59980406,72717344,86314180,270336789,72717333,74037830,74037829,74037828,61257875,61257874,74037826,61563536,61563535,61257881,49779060,39760258,257048123,269777242,39760253,39760252,49779052,61257870,258862333,87641281,74037838,74037839,87641284,101608033,87641275,86314171,86314170,86503236,74037842,74037843,259426347,72906697,72906698,74340947,259509893,61604059,61604058,74340966,61563554,50083343,40061929,40061930,40061989,40061923,40061922,31379185,23882204,255177323,12368186,17536004,23882176,23882206,255177325,12368187,17536006,17536014,12368191,8357366,5394288,5394289,254851973,8357349,8357350,12368169,12368184,12368183,17535999,256524787,40061948,269399949,74340946,87943567,74341008,74341009,64760713,64760714,77956071,259678631,106076757,106076758,115960080,115960094,101916136,101916137,115960046,101916072,87943569,74341001,74341002,87943606,258886079,74341005,87943611,260124825,129857360,115960067,115960066,115960077,101916124,101916125,115960085,115960099,101916141,87943644,87943643,101916097,87943608,74341003,74341004,64760717,257217159,42434991,52840097,64760716,77956075,91881233,106076772,120277665,126203060,258034740,84450378,257425064,112342584,126203056,139578163,259905452,126203049,112342576,98360036,84450366,70893506,70893507,84450370,98360040,101916101,101916100,112488843,126356596,134109058,120277662,106076770,91881231,77956074,77956073,84450377,256307554,58179433,70893510,257425062,112342580,120277685,259905456,260195550,105089106,91881261,77956118,64760755,64760756,259051735,98359462,84449775,84449773,98359489,98359454,84449741,84449742,98359457,91881256,91881257,95328202,91881254,77956105,77956104,91881251,91881243,259678635,259051731,77956092,260293917,64760725,52840103,42434997,33442009,33442010,33442025,42435016,52840085,64760703,60448848,258195221,86807381,86807382,100788354,114840091,114840086,100788351,86807375,259442633,260182609,89148321,89148320,75401395,73195225,73195226,86807398,100788362,114834895,100782995,86802305,73190353,73190355,86802308,83879342,70354620,258620887,62483373,50883923,50883925,62483379,75401366,75401404,257703753,50884014,258194837,75401339,62483443,269022821,32011873,24451380,24451379,32011775,24451319,18033900,12783069,12783070,18033903,24451322,32011784,40767833,40767884,40767885,40767955,40767981,50884027,50883954,40767889,32011814,24451343,18033914,12783076,12783075,18033912,24451338,256059909,24451328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6660830, s2 = 14238832, dlinesl.size( ) = 2 s1 = 6660830, s2 = 14238832, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6660830, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 10331139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655974, s2 = 9421501, int(edited[s2]) = 0 s1 = 11655974, s2 = 9421501, d1 = 9, d2 = 6 Dl.O(d1) = 6255856,9536085 Dl.O(d2) = 40518852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655974, s2 = 9421501, dlinesl.size( ) = 2 s1 = 11655974, s2 = 9421501, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11655974, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 10143844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 548649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 381712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7985030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10178559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10178559, s2 = 8159903, int(edited[s2]) = 0 s1 = 10178559, s2 = 8159903, d1 = 19, d2 = 21 Dl.O(d1) = 52802354,44777399,35352762,27229722,27229721,35352760,44777395,42385764,33396928,25630951,19015168,19015167,25630948,25646842,25646841,20231855,268091618,6565660,6565661,9989804,14518027,20231860 Dl.O(d2) = 25646752,33413834,42402959,52802331,59466616,50426309,50426308,52802336,48282512,38371450,29799027,22432568,22432569,29799030,38371456,48282383,48282532,48282533,59669993,59669996,48282548,38371480,29799053,22432580,16264941,11308453,7507933,7507934,11308455,268227077,29799066,37559397,37559398,42142949,48282416,42142832,33183280,33183279,42142831,38371412,29799004,29799005,38371414,48282487,59669965,48282577,38371525,256841204,38085392,38371444,48282507,59669944,48282469,48282470,38371538,29799107,22432616,22432615,22432617,29799110,38371279,269079714,25438316,20143980,20143983,256126979,33183538,25438412,25438413,33183214,25438090,25438091,25438205,255581132,25438393,25438069,25438068,33183190,25438150,18841951,18841949,13424238,9178249,6007256,6007257,9178250,9178243,6007253,6007252,9178241,13424225,18841934,25438084,18842176,13424371,13424261,13424260,14449599,9940885,6533675,4093850,4093851,6533678,9940892,9178307,9178306,13424352,18842152,18842146,18842147,25438406,33183345,25438230,25438229,18842023,13424323,13424322,18842099,25438345,33183137,25438016,18841864,18841863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10178559, s2 = 8159903, dlinesl.size( ) = 2 s1 = 10178559, s2 = 8159903, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10178559, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 551737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 259535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 383582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8084972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8084972, s2 = 11249306, int(edited[s2]) = 0 s1 = 8084972, s2 = 11249306, d1 = 40, d2 = 47 Dl.O(d1) = 255974510,23389386,17117561,17117562,254565142,39423652,255527674,62046654,50553994,40517765,31821072,31821073,40517769,50554001,43354837,34254920,26377603,26377601,34254918,43354832,47724115,37802912,29239338,21920710,15835990,10973972,7263617,4580773,4580770,7263611,10973960,15835974,21920680,29239295,37802849,47724054,39946066,39946064,47724073,37802871,29239308,21920688,21920689,29239309,37802875,31373877,23878323,17533266,16729566,11686990,11686989,16729559,22965667,30366571,22964757,22964755,30366567,34254710,26914347,26376858,19643328,14079238,12794233,8698375,5661806,3521301,3151856,3151857,5169836,8075117,9683881,9683805,9683808,9684158,6369842,3996994,2395285,1386126,788332,446534,251283,138660,138659,254095029,788311,1386089,254463313,9683745 Dl.O(d2) = 262473475,262537756,262992723,273872350,263569300,272224930,260029904,86325382,269824494,48598636,38682546,268372738,2919976,1693851,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473541,4135010,4488727,5946732,9090218,13308946,13308785,10051225,10045402,7656219,4844484,2919465,1693622,1693621,2919458,4844459,7656168,11508895,13286192,13286193,18678986,25249677,268737919,64095347,77239606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8084972, s2 = 11249306, dlinesl.size( ) = 34 s1 = 13181443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13181443, s2 = 8146734, int(edited[s2]) = 0 s1 = 13181443, s2 = 8146734, d1 = 20, d2 = 23 Dl.O(d1) = 39773952,31095545,23611762,17298907,12177130,8208901,5279905,3233384,3233383,5279902,8208895,7298610,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,17840817,21482885,21482882,16397820,16397821,16599812,14197760,14197759,14197166,9759522,9759524,8087702,5181816,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,11549216,7683734,7683736,11549222,14090796,10733681,7091923,4465314,4465315,7091924,10733684,254787308,14094918,9694356,6376053,6376051,9694350,14094913,19663514,26397542,23388897,23388896,26397556,26397555,28783908,24190181,17821371,12617926,8565145,8565143,9693437,9693438,10247442,10247443,14904071,12031782,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569706,1010791,1773275,3044664,5029476 Dl.O(d2) = 269308510,271397967,258273296,40141239,37696632,37696631,46756252,46756253,47332654,37424271,37424270,29135907,21828732,15760823,10915231,10915230,15760820,21828725,29135891,37696623,40180378,31495852,23998458,17654249,17654251,23998461,31495856,40180574,47920309,41930330,39157774,30560550,25266163,18694566,13301542,9083208,9083209,13301547,18694575,25266170,27258598,28621243,21384190,15401093,15401094,21384191,28621246,258050237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13181443, s2 = 8146734, dlinesl.size( ) = 2 s1 = 13181443, s2 = 8146734, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13181443, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 384241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13398323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 553709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 94909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162196, s2 = 11655769, int(edited[s2]) = 0 s1 = 14162196, s2 = 11655769, d1 = 9, d2 = 9 Dl.O(d1) = 157137084,144739301,131514419,270973160,89482009,75718044,75718043,79375224,66006874,269354021,22726422,16521173,16521172,11778129,11778126,13837849,9713654,9713657,14118685,9714012,9714011,14119340,19692146,268127122,43409191,256583018,66006875,79375226,93511994,107949419,122375990,260794936,159397668,261975198,133765840,119894751,105655522,91428926,77497618,77497617,91428925,105655520,104210701,90078843,76266954,63248253,51531832,41311186,32465989,32465988,41311185,36804617,28307685,28307686,36804619,40877318,51012950,41311189,32465991,24826951,24826950,32465990,33838351,26018966,19343724,19343723,18825945,18825944,18825897,18825898,25417367,25417405,25417391,18825926,18825857,13413043,13413042,18825855,25417322,18825870,13413049,9170958,9170959,6002540,6002541,9170978,254920075,9170966,13413060,18825853,13413041,13413040,18825851,23378700,17108908,17108909,18825879,18825878,18825871,18825872,18825862,18825863,25417329,33158311,33366111,33366110,42354882,41135548,41135549,51319160,49341379,39411866,39411867,49341381,60744509,73493522,87112169,101110253,115188495,270968832,93376217,79249010,65885241,53817266,43292026,43292025,53817265,65885239,79249008,93376214,93376211,93376212,107798165 Dl.O(d2) = 157137084,144739301,131514419,270973160,89482009,75718044,75718043,79375224,66006874,269354021,22726422,16521173,16521172,11778129,11778126,13837849,9713654,9713657,14118685,9714012,9714011,14119340,19692146,268127122,43409191,256583018,66006875,79375226,93511994,107949419,122375990,260794936,159397668,261975198,133765840,119894751,105655522,91428926,77497618,77497617,91428925,105655520,104210701,90078843,76266954,63248253,51531832,41311186,32465989,32465988,41311185,36804617,28307685,28307686,36804619,40877318,51012950,41311189,32465991,24826951,24826950,32465990,33838351,26018966,19343724,19343723,18825945,18825944,18825897,18825898,25417367,25417405,25417391,18825926,18825857,13413043,13413042,18825855,25417322,18825870,13413049,9170958,9170959,6002540,6002541,9170978,254920075,9170966,13413060,18825853,13413041,13413040,18825851,23378700,17108908,17108909,18825879,18825878,18825871,18825872,18825862,18825863,25417329,33158311,33366111,33366110,42354882,41135548,41135549,51319160,49341379,39411866,39411867,49341381,60744509,73493522,87112169,101110253,115188495,270968832,93376217,79249010,65885241,53817266,43292026,43292025,53817265,65885239,79249008,93376214,93376211,93376212,107798165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162196, s2 = 11655769, dlinesl.size( ) = 2 s1 = 14162196, s2 = 11655769, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162196, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13557985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13557985, s2 = 13509242, int(edited[s2]) = 0 s1 = 13557985, s2 = 13509242, d1 = 30, d2 = 11 Dl.O(d1) = 66845744,54586798,54586797,66845743,72940396,60201678,48805335,43841978,43841977,54586600,60201657,48805320,48079538,38166608,38166609,48079540,43843063,34571150,26584019,19780135,255724709,26583636,19779879,14167797,9740082,6404784,6404783,9740080 Dl.O(d2) = 98328171,84418897,84418896,259901725,98328237,84418965,70861714,58147675,256842767,28404904,21183886,15222345,15222346,21183889,28404910,36902301,28404901,28404902,36902303,46780149,58147673,70861712,84418961,259901733,126171811,139547489,126171742,271145128,98328176,84418903,258031081,58147657,70861679,84418901,98328126,112311097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13557985, s2 = 13509242, dlinesl.size( ) = 2 s1 = 13557985, s2 = 13509242, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13557985, Dl.E( ) = 44, 1.91e-05 seconds used appending s1 = 554991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 554991, s2 = 14292231, int(edited[s2]) = 0 s1 = 554991, s2 = 14292231, d1 = 0, d2 = 6 Dl.O(d1) = 14180353 Dl.O(d2) = 254965562,14181186,19798045,26604665,34591318,41588430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 554991, s2 = 14292231, dlinesl.size( ) = 2 s1 = 554991, s2 = 14292231, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 554991, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 7562921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14487340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 261662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 261662, s2 = 11209019, int(edited[s2]) = 0 s1 = 261662, s2 = 11209019, d1 = 7, d2 = 40 Dl.O(d1) = 6424758,6424759,9771570 Dl.O(d2) = 260522383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 261662, s2 = 11209019, dlinesl.size( ) = 2 s1 = 261662, s2 = 11209019, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 261662, Dl.E( ) = 60, 1.6e-05 seconds used appending s1 = 8232616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8232616, s2 = 14705150, int(edited[s2]) = 0 s1 = 8232616, s2 = 14705150, d1 = 43, d2 = 46 Dl.O(d1) = 47857257,59253953,71990839,66976859,256134588,43974210,42116494,42116493,34662298,26669541,19853180,19853181,21940944,15852600,15852601,255313020,19883523,14246618,9793472,9793471,11904080,7961788,7961789,11904085,16989462 Dl.O(d2) = 176078912,272559364,153617163,140950587,127601372,272208669,99718345,85764301,256944830,48039505,38126303,38126302,38379096,47852450,37932531,37932530,47852449,46452346,36586422,28113810,20936865,20936864,28113807,36586417,32194421,24606019,24606018,32194418,40974368,51116545,47310445,47310446,58594653,47203951,37296705,28763448,28763449,37296708,47203957,43251899,43251898,48464083,48464084,39207334,39207335,43251921,34161529,26293874,19571936,19571935,26293873,34161528,43251919,47310412,58700463,53362032,47311775,47311776,58701632,71433784,85007219,85416775,71828902,71522727,58793401,47406185,37498645,28955945,21674979,15636848,10820817,7151277,4503444,4503445,7151279,10820818,15636850,21674981,28955947,256887025,58793402,71522728,85094602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8232616, s2 = 14705150, dlinesl.size( ) = 2 s1 = 8232616, s2 = 14705150, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8232616, Dl.E( ) = 50, 2.29e-05 seconds used appending s1 = 558050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 558050, s2 = 1286178, int(edited[s2]) = 0 s1 = 558050, s2 = 1286178, d1 = 6, d2 = 27 Dl.O(d1) = 14253392,9796862,9796861 Dl.O(d2) = 32360832,24744525,24744526,32360834,41176626,51362802,63044018,258533077,67677389,67677412,55486232,44636250,44491920,44491919,55337885,67677392,81143343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 558050, s2 = 1286178, dlinesl.size( ) = 2 s1 = 558050, s2 = 1286178, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 558050, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 8104117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10347905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 389882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13317631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 390427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8006589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 561495, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13204791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14035701, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 392128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7944908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 563383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7893478, s2 = 9695455, int(edited[s2]) = 0 s1 = 7893478, s2 = 9695455, d1 = 0, d2 = 0 Dl.O(d1) = 267966770,71527022,58797954,58797955,256887430,67709707,55369973,44523732,256379222,20167681,20167680,18786069,18786068,255112941,7687791,7687795,11553911,7740402,4901093,2953891,2949363,2949364,1711045,1711043,2950336,4861382,2953645,1712772,1186690,1186689,2067348,2934100,2934102,2934088,2934086,1714958,1714960,2957618,4906978,5797831,5797830,7744800,4904489,4904490,7744805,7692762,4868225,4868226,7613614,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,254125463,302095,538918,956053,1680872,2896694,4805927,4805926,7597483,11428733,7740297,4900992,4900993,7740301,11621931,16654451,19432521,20929147,22605580,16422596,255482437,11615946,7735244,7735243,11615945,11617099,9955443,6813534,4273650,2555176,2555175,2933503,2933502,4806006,4806008,7597603,7597649,4806033,4806032,7597643,7329115,4629898,2789213,2789215,2930406,4863042,254794441,11413950,7585247,7585248,7598749,7598747,7602109,7609079,4813776,4813775,7609076,7595480,4804553,2900238,2900239,4812353,7606711,6813094,6813093,10347793,7614683,4817691,4817692,7614687,7604254,4810752,2899364,1682200,1682199,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,1417624,1417625,2452104,4099136,6542912,9955214,14469250,20167682,27061506,35147201,44523733,55369974,258535827,81175154,272093537,109484639,123676130,137406846,139319391,125967269,112130751,259272199,70722526,58006953,46631940,36744343,256293069,21048381,15118803,10428232,6875350,254490199,2581427,254221323,841558,841557,1487271,2581424,4316038,2855619,2855620,4316023,2581419,1487268,841556,474637,254118639,1487270,2581422,4316031,6875338,6875328,254327539,2581420,4316026,6875329,10428187,255377063,28248437,36744253,36744251,36744252,257411197,58006842,70722409,84273977,98169088,112130629,260114944,111896164,97958527,84084657,70547641,57845706,46489719,46489718,57845703,70547637,84084656,92394368,78360527,65080035,53095271,256671899,33618279,42645372,49046476,60449906,60450004,53820343,53820345,60450583,49047573,39118021,39116162,39116164,49045778,46466876,39116404,30519068,23102650,16845740,16845738,23102642,30519042,39116360,39116345,39116347,35196603,27107096,27107095,35196598,44574841,43185709,43185710,39117786,30520177,30520176,39096682,34100317,34100314,43185770,43185769,53697634,60450627,53686043,43175497,39117677,30520086,23103391,23103390,30520083,26237160,26237161,256574541,34099996,26236870,19519952,13973041,13973043,19519958,19519922,13973024,13973025,19519924,16845968,16845967,19519909,19519910,26236807,23103359,16846195,16846196,23103360,268657157,24066181,31571840,38179055,38179054,32190046,32190045,32287731,24678202,18213247,18213159,18213158,18213362,12918344,8787806,5723781,5723780,8787801,12918338,8787845,8787846,12918419,18213527,24678227,24678265,24678266 Dl.O(d2) = 267966770,71527022,58797954,58797955,256887430,67709707,55369973,44523732,256379222,20167681,20167680,18786069,18786068,255112941,7687791,7687795,11553911,7740402,4901093,2953891,2949363,2949364,1711045,1711043,2950336,4861382,2953645,1712772,1186690,1186689,2067348,2934100,2934102,2934088,2934086,1714958,1714960,2957618,4906978,5797831,5797830,7744800,4904489,4904490,7744805,7692762,4868225,4868226,7613614,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,254125463,302095,538918,956053,1680872,2896694,4805927,4805926,7597483,11428733,7740297,4900992,4900993,7740301,11621931,16654451,19432521,20929147,22605580,16422596,255482437,11615946,7735244,7735243,11615945,11617099,9955443,6813534,4273650,2555176,2555175,2933503,2933502,4806006,4806008,7597603,7597649,4806033,4806032,7597643,7329115,4629898,2789213,2789215,2930406,4863042,254794441,11413950,7585247,7585248,7598749,7598747,7602109,7609079,4813776,4813775,7609076,7595480,4804553,2900238,2900239,4812353,7606711,6813094,6813093,10347793,7614683,4817691,4817692,7614687,7604254,4810752,2899364,1682200,1682199,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,1417624,1417625,2452104,4099136,6542912,9955214,14469250,20167682,27061506,35147201,44523733,55369974,258535827,81175154,272093537,109484639,123676130,137406846,139319391,125967269,112130751,259272199,70722526,58006953,46631940,36744343,256293069,21048381,15118803,10428232,6875350,254490199,2581427,254221323,841558,841557,1487271,2581424,4316038,2855619,2855620,4316023,2581419,1487268,841556,474637,254118639,1487270,2581422,4316031,6875338,6875328,254327539,2581420,4316026,6875329,10428187,255377063,28248437,36744253,36744251,36744252,257411197,58006842,70722409,84273977,98169088,112130629,260114944,111896164,97958527,84084657,70547641,57845706,46489719,46489718,57845703,70547637,84084656,92394368,78360527,65080035,53095271,256671899,33618279,42645372,49046476,60449906,60450004,53820343,53820345,60450583,49047573,39118021,39116162,39116164,49045778,46466876,39116404,30519068,23102650,16845740,16845738,23102642,30519042,39116360,39116345,39116347,35196603,27107096,27107095,35196598,44574841,43185709,43185710,39117786,30520177,30520176,39096682,34100317,34100314,43185770,43185769,53697634,60450627,53686043,43175497,39117677,30520086,23103391,23103390,30520083,26237160,26237161,256574541,34099996,26236870,19519952,13973041,13973043,19519958,19519922,13973024,13973025,19519924,16845968,16845967,19519909,19519910,26236807,23103359,16846195,16846196,23103360,268657157,24066181,31571840,38179055,38179054,32190046,32190045,32287731,24678202,18213247,18213159,18213158,18213362,12918344,8787806,5723781,5723780,8787801,12918338,8787845,8787846,12918419,18213527,24678227,24678265,24678266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7893478, s2 = 9695455, dlinesl.size( ) = 2 s1 = 7893478, s2 = 9695455, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7893478, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8070180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8070180, s2 = 9702929, int(edited[s2]) = 0 s1 = 8070180, s2 = 9702929, d1 = 12, d2 = 7 Dl.O(d1) = 255419512,71527022,255852988,47411046,47411048,58797955,71527023,67709707,269790182,44523732,256379224,20167681,14469249,14469250 Dl.O(d2) = 6875350,4316039,2581427,1487273,841558,474638,266847,266846,254118639,1487269,2581420,4316027,6875329,10428188,255377063,28248436,36744252,46631861,58006842,70722408,84273977,98169087,112130629,125713712,111896164,97958526,84084657,70547642,57845706,57845705,70547637,84084655,92394368,269578394,65080035,60449256,49046461,49046462,39117998,30520336,23103558,23103557,19520126,19520125,26237152,34100340,43185805,49125338,49125327,39197797,30601233,23182538,23182519,23182518,23103535,23103534,30520301,39117952,49047510,39197856,39197854,39116291,39116288,34099934,26236804,26236801,34099923,43185382,41134457,39116680,30520084,30520083,34100349,30520392,23103604,16846359,11781073,11781072,16846358,23103602,23103624,24678172,26236898,23102802,23102803,30519239,32190046,24602261,18154447,18052933,12798287,8701403,5663928,5663927,8701402,12798284,254605422,21313135,21313134,28535953,37033992,32447387,31571802,24066133,24066131,24679002,24679001,32288569,32288190,30889025,255614233,12863318,12863319,254889341,254428289,1215725,1215724,2110011,3543671,5695484,8747922,12863304,18139889,24583644,32169435,40948941,51092301,50994134,40860402,32089657,32089656,32169443,24583654,18139895,18139897,24583664,32169452,32293043,39496271,39496270,40861056,32090313,24516557,18086091,18086092,24516561,32090320,40861068,39496264,39496263,32169351,24583565,18139836,18139835,24583561,32169343,40948852,40948843,40948844,40861086,32090344,24516578,18086097,18086096,24516574,32090338,40860979,32090232,24516497,24516498,32090236,40860985,49427318,49427333,50994665,50994379,40860677,32089952,24516315,24516313,32089949,32090220,40860920,32090163,24516447,18086111,12822111,8717597,8717598,12822112,18086114,24516598,32090373,31049269,31049268,39728147,32579553,31049292,23564990,23564989,31049264,23564963,23564962,31049263,32089943,24516309,24516308,32089937,24516548,24516547,24516466,24515988,24515989,24516676,18086161,18086162,24516680,32090456,32089624,24516003,24516001,18085706,12821859,8717445,8717444,12821864,18085715,24516019,32089645,40860380,50993707,257836198,53911930,43387668,34288399,34288400,43387669,43387619,43387618,40447938,40447939,50484364,255202216,43387592,43387593,257100910,62615154,50993413,40859566,40859567,50993414,255947412,65979020,65979019,256685396,74783157,72934025,60194711,60194712,72934028,65739463,53683128,53683126,65739335,79095518,256447416,62743186,51111963,51111962,62615830,75553010,79344072,77334801,75552721,75552720,255503924,72933961,86532419,75553004,62615824,50994326,50994327,62615827,72934007,72934008,86532445,93477675,93477676,86532364,86532362,86532392,72933934,60194591,60194593,72933937,86532396,100491159,100491158,114515105,100491204,86532461,72934032,72934031,79344017,79344064,65979050,65979051,75552646,74239967,74239968,87845053,79095651,65739475,65739474,79095649,89858592,76065029,76065030,89858595,93211658,93211659,100491162,257865092,76065002,76065003,86532382,93211702,87845056,87845055,79359922,65992813,53923838,53923837,65992808,75699158,62752128,51120949,40978730,32198697,32198698,25657535,25657536,33425736,28964327,28964326,37507748,32372700,24754146,18279200,12973705,8831050,254895653,18279205,24754150,32372704,41191194,51381635,51381634,267868864,32645349,41533044,32883036,25174208,25174209,24754158,24754156,32372708,39828060,31145925,31145923,39828055,49851485,42416392,42416393,51950944,41644817,32736050,32736049,41644815,51950942,63070039,63070041,76064951,63069954,51381547,51381545,63069952,63941232,52120758,41805582,32883060,32883059,41805580,256697534,48797727,48797726,60194566,51950936,51950933,63765293,63941203,63941204,65992901,65992821,53923844,53923845,63272667,76065017,76065018,79359923,77055103,63941195,52120722,52120723,63941197,63941186,63941187,63070070,63070071,76065041,257257152,76065053,89858613,103976040,107651569,93248636,93248637,258451500,89323987,103417120,89858641,76065083,76065066,63070100,63070101,258656835,63069962,257392782,77560219,65778307,60588414,60588413,73332744,65778318,65778319,259101267,77588607,64419919,52545821,52545820,64419918,77588605,91519534,105743011,119977642,133815511,119948741,115220876,101143693,87145455,86960948,86960949,100944781,257258022,64392270,64392269,77560245,89781159,257834684,90937841,77055121,63941212,63941211,257865100,119315849,105743023,91519542,91519543,105743025,105120423,105120422,119315857,132067271,118248604,104089215,89958122,76149919,63141891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8070180, s2 = 9702929, dlinesl.size( ) = 2 s1 = 8070180, s2 = 9702929, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8070180, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 7935254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7935254, s2 = 14975489, int(edited[s2]) = 0 s1 = 7935254, s2 = 14975489, d1 = 23, d2 = 30 Dl.O(d1) = 258886376,55740125,47851795,37931836,37931835,37141596,28628307,28628306,37141594,37834628,29268446,21946156,15857040,10990714,10990713,15857039,21946154,15857056,15857057,15857005,10990697,7275620,7275621,10990702,15857015,21946121,29268387,29268370,21946107,21946106,24901793,24901792,32551558,38084953,47997079,59386055,256437594,48189192,38279860,35166628,27078833,20181780,14479822 Dl.O(d2) = 154752007,154752008,261782002,262175132,142117289,154752046,262658106,177042141,184804929,184804931,261235694,152604923,139896832,126533569,126533568,114906183,100855556,86874759,86874760,258820228,128803299,128761598,128761597,142117249,272835060,129932063,143260507,263100193,152604933,261235690,126533580,128803296,128803294,142117255,154752021,166459137,167435789,155809037,143260503,129932061,116033635,101987027,101987028,116033640,261298495,155809045,167435794,177923824,273563530,262175137,139896840,126533579,259925425,98676242,260526857,139896843,152604934,164459235,155809035,143260501,261840891,272531672,261298493,155809041,155809076,261298503,116033692,116033690,129932108,129932115,116033701,101987075,101987074,272270731,116216151,259526069,88163682,102154653,102154664,88163691,74548805,61765160,61765161,74548807,88163697,102154669,116216162,271395850,84748565,71179692,71179691,84748562,71179696,58457491,256865125,37184347,47079458,58457494,61627174,50145283,50145282,61627170,61627251,58457479,58457478,71179682,84748546,98676223,112670863,116216159,102154658,88163688,88011646,74406442,74406441,88011644,101987031,114588650,100556610,98676312,84748642,258268286,61627997,74406664,88011862,101987226,116033677,116033678,259514562,84748669,71179813,58457619,58457621,61627150,61627151,61627156,71179679,58457477,47079443,37184337,37184330,255962808,37184460,37184459,47079576,58457634,71179822,58457625,58457623,71179708,71179710,63787929,51972709,41664780,41490608,32610980,32610979,41490603,41490599,41490598,51761142,61628000,50145991,40124769,31445276,31445277,37184433,37184434,255640790,23953520,23953519,31445336,257076701,52802119,44396001,35020669,35020670,44396002,44547042,44430210,44430209,55276039,63230959,51517554,258418340,44428982,44428984,49970927,49970929,44428963,256217719,20086983,14401694,9905766,9905764,9905257,6510391,4079820,4079821,6510395,9905270,14400694,20085130,20085520,255743169,256742707,35170150,27081839,20183955,20183956,256217827,20087693,14402096,14402097,20087696,26975061,35057776,35054111,26972204,26972205,33413323,42402372,44428740,35054004,256742743,55275042,67614933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7935254, s2 = 14975489, dlinesl.size( ) = 2 s1 = 7935254, s2 = 14975489, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7935254, Dl.E( ) = 38, 1.91e-05 seconds used appending s1 = 8321082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8321082, s2 = 564873, int(edited[s2]) = 0 s1 = 8321082, s2 = 564873, d1 = 12, d2 = 0 Dl.O(d1) = 48021683,59408220,72138149,85722446,260226582,76321229,258085732,32509812,24867635,24867636,20191236,20191235,14487695,9968268,9968267 Dl.O(d2) = 14487691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 565008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 565008, s2 = 11655777, int(edited[s2]) = 0 s1 = 565008, s2 = 11655777, d1 = 0, d2 = 13 Dl.O(d1) = 14490744 Dl.O(d2) = 9970307,6552614,4104984,254473731,4754291,2865366,1663067,1663070,2865374,4754311,7516084,4751399,2863615,1662073,1662074,2863619,4751407,7516101,11319468,16278348,16278347,11385321,11385320,14539441,14539442,20264552,27188400,23768757,17440695,14490140,9969915,254473709,4104859,4104959,6552562,9970207,14490568,20195600,16279548,11320491,11042479,7317037,4619113,2781358,2781359,4619119,7317052,11042507,15920156,16360080,16360078,14490036,9969844,9969843,14187033,14187035,16282858,11324147,7520330,4754513,2865507,1663136,946256,533611,299270,299269,533607,946248,1663123,2865482,4751804,7516726,11320284,7516758,4751822,4751821,7516753,11320323,16278118,16278117,16282187,15760014,255066579,7288464,4596168,2764975,2764976,4596174,5178574,3159653,1849617,1055564,593499,593500,1055571,1849629,3159674,5178601,8082552,11322250,7518541,4753100,4753101,7518545,11322261,16280320,11322660,11322662,11322046,11009930,7288405,7288406,11009935,15882793,17107724,16280336,11321397,11321398,7519067,7519068,11322764,13554946,13554945,11321892,7518171,4752820,4752822,7518176,4753808,4753806,4753807,7519374,11323036,16281800,15759472,10913988,7217885,7217884,10913986,15759469,21827379,22451072,29818638,37695716,37695189,35183422,27094655,20195567,16281378,254780203,4753346,254534321,7095895,10739745,15528537,21545726,28813868,37352683,256397670,40471793,40471792,269332823,37874368,29818241,22450625,22450624,29818240,37118651,28608694,21373938,15392935,10638116,7022742,7022743,10638118,15392938,21373941,28608697,24612866,18164057,18164058,15882725,15882726,21977625,23036699,16792327,11741193,11323207,11323208,16281977,16281222,16278625,11319536,7516150,4751434,4751435,7516159,11319558,16268145,16268146,11741115,11741116,16281259,22450498,29647349,32310106,254772354,24046966,31550710,40236658,50255980,61734273,74515807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 565008, s2 = 11655777, dlinesl.size( ) = 14 s1 = 8110484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8110484, s2 = 8005027, int(edited[s2]) = 0 s1 = 8110484, s2 = 8005027, d1 = 65, d2 = 69 Dl.O(d1) = 257607951,49314772,47515804,37610914,37610915,37141938,28628573,21390279,15405878,15405879,21390282,28628600,255256992,41055986,32261483,32261484,41055988,47030354,37610953,37036767,37036766,255242326,32413075,32413027,254905178,18575834,13200957,13200958,18575837,25128243,25128299,25128300,25128209,18575816,18575817,21441913,25128271,26963291,33751182,25943834,19280464,13782608,13782607,19280461,25943830,28611764,21376349,21376350,28611766,33751195,26963065,20078862,20078861,26963063,28611774,32833126,41753989,47774705,44417749,35043332,26963046,26963045,29293253,29293252,31297387,256517797,49987433,43910159,43910158,43910167,34637086,34637087,34637007,26645695,255315457,14207014,255728797,34637003,32253035,24653725,24653726,32253036,41046231,32253192,32253116,32253117,32253163,24653837,255315468,37041319,28542357,21318941,15348254,15348255,21318944,21403008,21403009,24653785,24653739,24653738,32253049,33148046,26649380,26649381,21399060,21399061,28639508,29434876,37997504,32253078,254964508,18195903,12906121,12906122,12906114,12906115,18195894,24653865,19202452,13714662,13714661,19202450,24653904,20196243,14491023 Dl.O(d2) = 6412504,9752702,14187044,19806185,26614720,19806174,14187032,14187035,16282858,11324147,7520330,4754513,2865507,1663136,946256,533611,299270,299269,533607,946248,1663123,2865482,4751804,7516726,11320284,11319386,11319385,9969957,6552409,6552408,9969954,14490192,10849118,7172375,7172376,6552356,6552358,9337589,9337590,11319190,7515912,7515911,11319188,11904110,16989504,254943280,16279633,16282563,16278042,16278044,21714418,255855967,29336911,22005531,15904595,11025938,11025942,8162734,8162731,11320181,7516637,4751742,4751743,4104884,4104883,6552427,6552354,6552353,4104850,4104847,6552361,9969872,14490074,16278935,11319806,11319250,11319249,16278230,16280741,11321828,267892267,2864386,254167625,945924,1662498,2864383,2865519,1663140,1663141,2865521,4754564,7520413,11320988,7517303,4752186,2864051,2864050,4752184,4753856,7517520,255095117,11323365,10914671,7218377,4547994,4547993,7218376,255056497,21828059,16280330,16280332,15882792,15882793,12021927,8082296,5178504,3159618,3159617,5178498,8082399,11010029,11322499,11320930,11320929,10913981,10913980,11218915,8082377,8082376,7288480,5178547,5178546,8082470,10914551,8082666,8082665,12022352,16280257,16281485,12021880,12021881,16282164,16282160,21827855,18994607,13554962,13554961,16281482,15759873,10914334,10914332,11323134,15759393,10913920,10913921,15759396,15759848,10914316,7517149,7517150,7218003,4547754,4547755,7218005,7217977,4547741,4547740,7217971,7218133,10914071,7217935,4547722,2733783,2733782,4547717,7217925,7218293,4547941,2733906,2733907,4547947,7218304,7517602,7517603,11321301,10914588,10914589,15760135,16280274,11323101,7519434,7519435,6511579,6511578,9907374,10914010,7217896,4547700,4547697,7217884,10913986,15759469,21827379,16281883,11323112,11321438,7517729,7517727,11321436,16280374,22449557,16280137,11321210,11321212,16280142,21827106,21827189,15759318,15759319,21827195,15760427,15760426,255956593,16792324,16792325,23036675,30444233,39033622,48955731,48299663,47029399,37140980,28627729,22102678,15992449,11101990,255074447,15085417,20327293,27261483,29292434,37861692,47785997,258909463,50403842,256630786,24164213,17796397,17796398,24164214,24597696,24597697,32184939,24631368,18177069,12890901,12890900,18177065,24631361,30807839,23379558,23379557,18150755,255852181,15632959,10818257,268075191,255107288,29879158,29879157,38437922,40271490,31584374,31584364,24078494,17721420,17721419,24078493,31584363,38437941,31584399,31584398,39401766,30798524,30798523,31584410,24078516,17721436,12537523,12537522,17721434,24078513,31584403,31584379,24078501,24078500,24185927,17817299,17817298,24185925,31694323,40271566,40327399,40327398 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6442512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 566481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162228, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7582511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7582511, s2 = 394849, int(edited[s2]) = 0 s1 = 7582511, s2 = 394849, d1 = 15, d2 = 14 Dl.O(d1) = 268450344,14524204 Dl.O(d2) = 6568043,9993732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7582511, s2 = 394849, dlinesl.size( ) = 14 s1 = 29460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9095708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157633, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 568226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 568226, s2 = 555079, int(edited[s2]) = 0 s1 = 568226, s2 = 555079, d1 = 3, d2 = 9 Dl.O(d1) = 14558020 Dl.O(d2) = 14182337,14182340,19790179,14175464,11213995,7440733,4701526,2832441,1643282,1643284,2408780,2408779,2410125,1394499,793001,449062,252685,252686,449071,792716,792718,1393873,2408807,4019843,6406578,9742974,14172130,255725155,27210588,20282340,14552953,14552954,19800488,255265650,31234534,255669326,29637011,26608485,19803802,19803801,26611757,31627111,24121707,17760160,14593214,14593213,17425940,12282279,8294779,8294780,9187210,9187209,13437737,18860538,21899593,17425665,12282106,268110197,17424257,23749736,17424281,12281199,8294167,5350876,5350875,8294162,12281187,17424266,23749746,31233155,31235474,31235475,38408400,34585099,34585100,33860363,33860361,32557867,24907287,24907290,30606800,34595884,34595883,37777805,29216852,29216851,29216890,26609071,19801391,19801390,26609064,27209084,31627877,24122512,17760793,12567934,8522603,8522601,12567924,17760766,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576991,7257265,254234422,254234424,267889172,10965717,7258283,7258282,10965716,15823715,15951947,11070399,9996934,9996935,14528376,16413464,22596598,29214272,29214271,37775801,39493802,38177699,38177698,44761185,35333958,27209175,27209177,22821452,19360021,13847732,9499606,9499605,13847731,19199868,19199867,19199611,13712226,11062674,7335159,7335162,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142880,10243495,8770683,5711745,5711744,8770678,12894773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 568226, s2 = 555079, dlinesl.size( ) = 2 s1 = 568226, s2 = 555079, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 568226, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6942373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14162474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162474, s2 = 8049132, int(edited[s2]) = 0 s1 = 14162474, s2 = 8049132, d1 = 7, d2 = 7 Dl.O(d1) = 9763819,6419638,4027429,4027430,6419640,9763823,14203151,11460578,7623059,4823107,2906419,2906420,4528772,2722353,2722352,4528771,7188378,4976756,3006343,3006342,4976754,7840078,8844520,5764095,5764098,8844531,12991865,18302934,24212638,24212639,19659164,14091534,13269207,9054307,9054308,13269210,18660710,25229009,23244928,23244929,19659993,14092131,14092133,19659998,21760726,24297416,21960462,21960460,16042345,16042344,22164471,23245064,16978549,11891707,11891704,13170032,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198350,19821257,17411668,12270777,12270776,17411662,19819322,17844184,14197305,9759594,9759592,14197300,19819890,19657920,19657921,26392268,26395141,24216590,17846155,17846154,24216584,31723684,34266828,26395607,19661436,19661437,22343395,29697014,22363547,19660950,14092900,9693146,6375392,4000230,4000232,6375398,9690710,14089183,19656093,17437669,14086693,14086692,9690076,9690077,12146904,8577910,8577908,12633528,12637488,11837047,254493504,5029160,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089706,8859117,13012086,8976420,8976421,13168435,13168453,9288344,9288343,13566070,18785146,22202442,22202441,29503585,24840968,19656188,14089272,9690770,9690771,14089277,16915287,16398795,11415267,7586341,7586340,6376022,6376024,9694306,14094860,11838132,7911565,7911566,11838135,16915307,12034085,8090163,5183147,5183146,8090158,8087922,5181921,5181644,3161513,3161514,5181647,8087413,12029738,17118444,14195779,254969882,23396884,30820816,30820815,255120522,44490309,40291718,268416764,255120520,20134491,14440793,14440792,20134490,268372504,15861555,15861554,21952341,17056294,17056295,23321567,17056290,11965157,8009359,8009358,11965153,17056286,23321560,30742419,29147002,29147001,23321535,23321534,17056647,17056451,17056452,21840152,21838410,15768859,10921230,7223129,4551169,4551170,7223131,8009429,11965260,10931619,7232498,5098691,3094689,3094690,5098694,7226123,10922275,7224051,254750723,10922828,7224570,4556357,2739457,1587411,902396,902395,1587410,2737225,2737226,4553208,2740839,1588315,902893,902894,1587698,1587697,902898,509362,285563,285562,509359,903127,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,1585635,1585636,2736573,4552316,7224590,7224685,7226478,256767527,27273300,20337241,254987803,10043078,14595590,16812394,23060139,20337302,20337301,27273382,27273320,20337257,20337258,255252017,9104415,13324903,11837967,11837968,16915071,23180009,18879077,13453606,9200471,6023766,3768529,2257978,2257979,3768530,6023769,268025721,25481385,257440399,37139345,37139346,47027566,58028975,47516509,37611659,29062399,21766571,21335744,15362271,10647093,10647094,15404165,21388196,28626254,29077683,28626211,21388171,21388173,28626216,33097572,25363994,18781164,13376397,13376395,18781157,25363983,33097563,33610043,33610044,42635796,34117379,34117381,43204504,49872718,49872717,48911021,38989105,30401198,22996982,22996980,17480822,12324942,8325454,8325453,12324937,17480795,12324931,12324930,17480791,23815471,24261590,17883917,17883919,24261596,28075173,28075174,36542901,33610030,25811379,25811381,28626244,29062406,29062381,21766562,21766564,29062386,24962105,18443836,13101659,8929027,8929028,6138392,3840518,2300996 Dl.O(d2) = 9763819,6419638,4027429,4027430,6419640,9763823,14203151,11460578,7623059,4823107,2906419,2906420,4528772,2722353,2722352,4528771,7188378,4976756,3006343,3006342,4976754,7840078,8844520,5764095,5764098,8844531,12991865,18302934,24212638,24212639,19659164,14091534,13269207,9054307,9054308,13269210,18660710,25229009,23244928,23244929,19659993,14092131,14092133,19659998,21760726,24297416,21960462,21960460,16042345,16042344,22164471,23245064,16978549,11891707,11891704,13170032,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198350,19821257,17411668,12270777,12270776,17411662,19819322,17844184,14197305,9759594,9759592,14197300,19819890,19657920,19657921,26392268,26395141,24216590,17846155,17846154,24216584,31723684,34266828,26395607,19661436,19661437,22343395,29697014,22363547,19660950,14092900,9693146,6375392,4000230,4000232,6375398,9690710,14089183,19656093,17437669,14086693,14086692,9690076,9690077,12146904,8577910,8577908,12633528,12637488,11837047,254493504,5029160,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089706,8859117,13012086,8976420,8976421,13168435,13168453,9288344,9288343,13566070,18785146,22202442,22202441,29503585,24840968,19656188,14089272,9690770,9690771,14089277,16915287,16398795,11415267,7586341,7586340,6376022,6376024,9694306,14094860,11838132,7911565,7911566,11838135,16915307,12034085,8090163,5183147,5183146,8090158,8087922,5181921,5181644,3161513,3161514,5181647,8087413,12029738,17118444,14195779,254969882,23396884,30820816,30820815,255120522,44490309,40291718,268416764,255120520,20134491,14440793,14440792,20134490,268372504,15861555,15861554,21952341,17056294,17056295,23321567,17056290,11965157,8009359,8009358,11965153,17056286,23321560,30742419,29147002,29147001,23321535,23321534,17056647,17056451,17056452,21840152,21838410,15768859,10921230,7223129,4551169,4551170,7223131,8009429,11965260,10931619,7232498,5098691,3094689,3094690,5098694,7226123,10922275,7224051,254750723,10922828,7224570,4556357,2739457,1587411,902396,902395,1587410,2737225,2737226,4553208,2740839,1588315,902893,902894,1587698,1587697,902898,509362,285563,285562,509359,903127,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,1585635,1585636,2736573,4552316,7224590,7224685,7226478,256767527,27273300,20337241,254987803,10043078,14595590,16812394,23060139,20337302,20337301,27273382,27273320,20337257,20337258,255252017,9104415,13324903,11837967,11837968,16915071,23180009,18879077,13453606,9200471,6023766,3768529,2257978,2257979,3768530,6023769,268025721,25481385,257440399,37139345,37139346,47027566,58028975,47516509,37611659,29062399,21766571,21335744,15362271,10647093,10647094,15404165,21388196,28626254,29077683,28626211,21388171,21388173,28626216,33097572,25363994,18781164,13376397,13376395,18781157,25363983,33097563,33610043,33610044,42635796,34117379,34117381,43204504,49872718,49872717,48911021,38989105,30401198,22996982,22996980,17480822,12324942,8325454,8325453,12324937,17480795,12324931,12324930,17480791,23815471,24261590,17883917,17883919,24261596,28075173,28075174,36542901,33610030,25811379,25811381,28626244,29062406,29062381,21766562,21766564,29062386,24962105,18443836,13101659,8929027,8929028,6138392,3840518,2300996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162474, s2 = 8049132, dlinesl.size( ) = 2 s1 = 14162474, s2 = 8049132, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162474, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 7831069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7831069, s2 = 8061315, int(edited[s2]) = 0 s1 = 7831069, s2 = 8061315, d1 = 1, d2 = 38 Dl.O(d1) = 1894367,3230252,5276020,3230595,1894600,1894592,1081334,1081333,1894590,2852977,2852976,4734589,7491060,8199809,5276212,5276211,5241442,5241440,7305183,4627556,2787390,2787391,2852218,1655054,941679,941681,1655062,2852229,3237778,1922392,1098225,616467,616469,1098231,1922402,3219290,3269399,2626228,2626229,3265207,5283968,8212822,256267367 Dl.O(d2) = 6734118,10249221,6735821,4220306,2523264,2522438,2522439,4219000,6734027,6734288,10249447,10251722,10249196,6734093,4219033,2522456,1453593,823021,464825,464824,823018,1453583,254320677,6734012,254299530,20799772,27961743,20814050,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313912,17051342,17051343,23314578,23884101,25459882,22673999,16477478,16477479,22674004,30049552 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7950856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7950856, s2 = 14145322, int(edited[s2]) = 0 s1 = 7950856, s2 = 14145322, d1 = 5, d2 = 56 Dl.O(d1) = 27996732 Dl.O(d2) = 265346340,227941665,227941666,229582915,231041161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7950856, s2 = 14145322, dlinesl.size( ) = 36 s1 = 9815638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9693169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9693169, s2 = 9443469, int(edited[s2]) = 0 s1 = 9693169, s2 = 9443469, d1 = 177, d2 = 181 Dl.O(d1) = 257838124,47564529,37658404,29108585,21809796,15747973,10906840,7213507,4544991,2732191,1583178,1583177,2732188,4544989,255056025,21809788,16184517,16184518,22330843,23860105,17516630,12352292,12352290,17516623,15195872,10481400,6910611,6910612,10481404,15195882,17356627,12227006,8255202,5325522,3273327,3273328,5325527,8255213,12227027,15197547,15197546,21152335,28369148,32966448,25244595,25244596,30640807,28369989,21153075,21153076,25244612,18674451,13282269,9066234,6911353,6911354,10482925,15198401,21153582,28370534,36867472,36865626,28367757,21151145,15196773,15196774,21151148,28367763,36865628,36867540,36865271,28367337,28367338,28370366,28370365,30641501,23218241,23218240,30068542,23801605,21151391,21151264,21151263,23802149,17469182,254847923,268272732,3050883,1777314,1013292,1013294,1777321,3050897,3828017,2293415,1330686,1330685,2293413,3828011,6118238,5039772,5039771,7928102,11862505,14956934,10290184,10290183,12226254,8254769,8254770,7926979,7926978,9340547,6118223,6118221,9340543,11860783,11860784,255523913,255364653,255790101,256815167,259873805,261092246,21310037,28531317,28531316,28531396,28531395,37029559,39155825,39155824,255831840,21310138,15340198,15338771,10594313,10594312,15338769,255824665,15338839,15339915,21309828,15339904,10595280,10595279,15339900,255029091,6989144,4391977,4391978,254729239,15338910,10595262,10595261,15339880,21309797,21309830,28531337,21308736,15338851,15338852,21308738,21308679,15338784,15338783,10594436,10594437,15338917,254940960,15340099,10595450,10595448,15340096,21310039,21308731,268639812,21308758,15338872,10594402,10594403,15338874,21308760,21308789,21309991,16070381,11158894,11158892,15338924,15338863,10594396,10594397,15338866,10594858,6989436,6989437,6989126,4391970,4391969,6989122,6989136,6989135,6989073,4391942,4391941,6989072,10594329,6989112,4391964,4391963,6989110,6989893,4392444,2631847,1519703,1519702,2631845,4392439,6989886,10595474,10594780,255029133,7889222,5010530,5010529,6989921,6989919,10595508,15340146,21310072,28532714,37030760,37029387,28531236,21308604,21308599,15338715,15338716,21308601,28531234,37029384,37029482,254629266,255621076,41786878,32866389,25159519,18602218,13220749,13220750,18602220,24068698,17712770,17712771,268288758,32866394,31574133,24068684,17712754,12529763,12529752,12529753,17712740,24068662,256539921,24068671,24068670,17712775,12529775,12529774,13050020,18375389,24872838,31574176,31574167,24068688,24068645,24068644,268923586,12529762,8490970,5491679,3382138,1991629,1991630,3382141,5491683,268002245,17712777,24068663,22436852,16269556,11312639,7511166,4748004,4748005,7511168,11312642,16269562,17712800,17712799,24068731,28531736,21309060,21309059,28531734,37029907,31574199,24068721,24068720,31574197,40261185,50281992,61761463,64423275,255618024,38284736,38284735,48193994,50134448,256673784,50134447,259172469,109598692,123786799,137509529,150538984,162658103,170018678,158660349,146292075,133064447,133064448,139791111,139791112,126417462,112547870,98553943,84630042,71066683,58350369,257387475,37843856,37843857,41699470,36479804,36479805,37341860,28803824,28803825,27189499,27189500,35308974,36479741,39506564,30899107,23465545,23465544,30899103,39506557,44827127,44827128,37843862,30528920,29289830,28803802,21537197,15521963,15521964,18976549,13540772,13540770,15628378,15628379,18539780,13173324,8979956,5862845,3660300,2189997,2189995,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011299,9084816,9757425,6415758,6415757,9757418,14193724,14932350,10269173,6748334,6748332,10269156,14535779,10001207,10001206,10269193,10269194,14932388,11513720,11513719,16520827,13729625,13274796,12210223,12210222,12720040,8643061,8643059,12720037,17950293,20930838,21623911,15593349,10787192,7127261,7127262,10787194,15593353,20353176,27285169,27285168,25249058,18678304,13285429,9068675,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,11340377,13307799,11338055,7534569,4766262,4766261,4766267,4766269,7534610,11338113,13730345,13730346,14604007,15321805,20822883,14924896,10262964,6743962,4225857,4225858,254480338,4845402,4845401,6512505,4081084,2441996,1412123,803464,455300,256600,254095737,803468,254214703,2442012,4081113,6512563,9908868,14406408,20093547,14936812,10272822,10272823,268196359,27999971,36458528,46311313,57655901,70346400,83871633,97730529,111651330,261046483,124968669,138395769,138395771 Dl.O(d2) = 3997489,2395604,2395603,3997487,6370571,6233099,6233098,9503085 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13470119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10201951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9092098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9092098, s2 = 7951271, int(edited[s2]) = 0 s1 = 9092098, s2 = 7951271, d1 = 0, d2 = 0 Dl.O(d1) = 40467722,50503609,58734076,47346304,37439229,37439228,28946564,21667214,19220370,13729667,13729666,19220369,16520959,11513788,7659106,4845998,4845999,7659113,10052248,6605316,6605317,10052254,13586957,13586958,14586477,10036713,6595881,6595879,10036702,14586457,16521638,16521637,16979958,16979956,18690595,13297444,13297441,18690587,25262094,25326061,22726531,16521288,16521287,22726529,255369128,255012650,12159658,11510927,11510926,10289402,10289399,13285436,9068669,9068671,13285459,10263064,10263063,14925033,14562208,11510234,11510236,7831055,7831053,11729919,16776943,23017249,26654052,19840511,14213800,14213801,19840513,26654054,31749223,24238089,17863000,17862999,18677961,17034852,12742894,12742895,17980509,24379111,31910554,25284596,18711626,13318404,9098809,9098808,13318401,254202488,9355415,13661711,19133126,16523887,11515980,11515982,10377675,10377677,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461153,813539,1429857,2473571,4135054,6600442,10043876,14596788,20338753,254326268,21218883,15250043,10520583,7083894,7083898,4858469,4486836,4486835,3826782,3826784,6116139,6116199,6116203,7126235,7436872,4699256,2831207,2831204,4699235,7436814,267878662,22277408,29629229,38196221,48107779,59496308,72232298,85825276,99779054,113793297,116759439,102664672,88656544,258339444,50672352,40616147,31902889,31902890,40616149,50672350,50672351,62189217,75008775,88656542,102664671,116759438,261335875,156411997,167978453,263273289,187586636,195590205,202433403,208183111,212924914,213511840,208938245,203370999,196728182,188966980,180009317,169831362,158468808,261406099,260837485,104879906,90710087,76839567,63735937,51926506,41623661,32717712,255638853,8957439,8957440,8957441,5846710,3648611,2181112,2181111,3648610,5846703 Dl.O(d2) = 40467722,50503609,58734076,47346304,37439229,37439228,28946564,21667214,19220370,13729667,13729666,19220369,16520959,11513788,7659106,4845998,4845999,7659113,10052248,6605316,6605317,10052254,13586957,13586958,14586477,10036713,6595881,6595879,10036702,14586457,16521638,16521637,16979958,16979956,18690595,13297444,13297441,18690587,25262094,25326061,22726531,16521288,16521287,22726529,255369128,255012650,12159658,11510927,11510926,10289402,10289399,13285436,9068669,9068671,13285459,10263064,10263063,14925033,14562208,11510234,11510236,7831055,7831053,11729919,16776943,23017249,26654052,19840511,14213800,14213801,19840513,26654054,31749223,24238089,17863000,17862999,18677961,17034852,12742894,12742895,17980509,24379111,31910554,25284596,18711626,13318404,9098809,9098808,13318401,254202488,9355415,13661711,19133126,16523887,11515980,11515982,10377675,10377677,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461153,813539,1429857,2473571,4135054,6600442,10043876,14596788,20338753,254326268,21218883,15250043,10520583,7083894,7083898,4858469,4486836,4486835,3826782,3826784,6116139,6116199,6116203,7126235,7436872,4699256,2831207,2831204,4699235,7436814,267878662,22277408,29629229,38196221,48107779,59496308,72232298,85825276,99779054,113793297,116759439,102664672,88656544,258339444,50672352,40616147,31902889,31902890,40616149,50672350,50672351,62189217,75008775,88656542,102664671,116759438,261335875,156411997,167978453,263273289,187586636,195590205,202433403,208183111,212924914,213511840,208938245,203370999,196728182,188966980,180009317,169831362,158468808,261406099,260837485,104879906,90710087,76839567,63735937,51926506,41623661,32717712,255638853,8957439,8957440,8957441,5846710,3648611,2181112,2181111,3648610,5846703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9092098, s2 = 7951271, dlinesl.size( ) = 2 s1 = 9092098, s2 = 7951271, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9092098, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6542836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6542836, s2 = 10340761, int(edited[s2]) = 0 s1 = 6542836, s2 = 10340761, d1 = 12, d2 = 2 Dl.O(d1) = 255785975 Dl.O(d2) = 10291567,6765638,4240090,4240091,6755822,4271350,4271349,4257092,2544985,1466212,1466210,2544975,4251938,4251939,4276534,4276535,6817641,10353085,13315369,10358284,9096647,9096646,6822117,4279657,4279656,6822115,10358060,10315358,6785577,4253815,2543013,1465102,829056,829055,1465097,2543005,4253804,6785559,4927599,4927598,7775506,5927959,5927960,5207489,4284395,2561515,2561514,4284391,5586032,8596917,255329058,13739107,15871090,13738940,12710683,10614673,10614672,268611591,17424960,17424953,12281694,8294449,5351009,5351011,8294416,12281637,16780556,18827090,13413847,9171436,6002808,6002810,255661965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6542836, s2 = 10340761, dlinesl.size( ) = 14 s1 = 574397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13257223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 575030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16020608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13339759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13339759, s2 = 11120486, int(edited[s2]) = 0 s1 = 13339759, s2 = 11120486, d1 = 7, d2 = 2 Dl.O(d1) = 10327707,7671370,7671371,11531522,10353638,6818112,4276873,4276871,6818124,10353652 Dl.O(d2) = 28110513,36582858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13339759, s2 = 11120486, dlinesl.size( ) = 2 s1 = 13339759, s2 = 11120486, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13339759, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9028098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9094784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9094784, s2 = 12643833, int(edited[s2]) = 0 s1 = 9094784, s2 = 12643833, d1 = 89, d2 = 90 Dl.O(d1) = 201212369,262903988,187238473,177990062,167517629,155901300,143357475,130024360,116114586,102056858,88071457,74459349,61676313,50192514,40168337,31483448,23986533,23986534,26428176,32180259,32180260,26680309,26680308,28341643,21129422,21129421,24223413,31731631,40425472,42719776,33689660,33689659,33754214,25946576,19282761,19282762,25946578,26434933,34313093,32546546,32285206,25257841,22790985,18835294,18594285,17793555,16841926,13837845,13837841,11778109,11778112,13837849,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713627,12883049,9713521,9713524,14118441,18147477,24593585,254903462,9712228,6389527,4009983,2403327,1390668,1390669,2403332,4009996,4239976,6765486,9712190,9065766,5933201,3709834,3709832,5933192,6802532,6825756,9073755,13291145,255648897,14971221,14971222,13274765,9059509,9059510,13274767,15052859,18669746,13277838,13277837,18669744,15009057,14233681,14233682,12097725,12097726,17203042,21515008,15504481,10722410,10722409,15504480,255369671,268905863 Dl.O(d2) = 261743320,262733924,263560666,208089792,264230398,219958096,222678003,225013376,227041795,228811666,230371223,231756763,233001450,234127426,235151854,235580631,234599630,266200315,231024047,229560421,227912933,226039044,223890901,221413689,218524038,215088008,210912695,205801101,199619954,263457557,174168292,262120009,138743074,125419092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9094784, s2 = 12643833, dlinesl.size( ) = 80 s1 = 7922013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6587653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6544219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 404632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13252247, s2 = 14162605, int(edited[s2]) = 0 s1 = 13252247, s2 = 14162605, d1 = 20, d2 = 13 Dl.O(d1) = 60757442,60757443,73506529,87125320,259401840,115201063,127856914,113979219,99956502,85997847,72401484,59665843,48277987,38366367,256409104,16391721,11408387,11408388,11408389,16391723,22574266,29936727,29936744,38499838,48405297,255093288,22574260,22574259,255093286,29936730,29936728,38499840,38499836,38499837,39952480,31277496,31277495,38499772,29936659,22574219,22574220,16391693,11408375,11408376,16391695,22574223,29936662,23791673,17459966,12308739,8313742,8313741,12308736,17459962,23791666,31277481,31277492,23791677,17459968,15064805,10388803,6846769,6846768,6769330,4242624,4242625,6762707,4238133,4238132,6762703,6794780,4260378,4260376,4249895,4249894,6772330,5946400,3718637,3718633,2226785,2226789,3718692,4263610,6761980,6762172,4309032,4309035,4234327,2531693,1458925,1458924,2531688,4234315,6757154,6776043,4247338,2539355,1463148,828048,467340,262927,262926,467338,828040,1463130,2539331,4247300,4247228,4247158,4234220,2531631,1458897,825923,825924,1458903,2531647,4234249,6757059,4257857,2545490,1466497,1466499,2545497,4257870,6791282,268063393,5954959,3724072,3724073,5954960,9101237,12097416,8135888,8135889,268104967,18713618,18707653,17202802,12097411,8596973,5586072,3465632,3465633,5586076,8596977,10383931,6852900,4300634,2571260,2531590,1458874,825912,466357,262464,262465,262472,262473,466372,825946,1458960,2531469,1458824,1458827,2531476,4233951,6756554,6756553,6808834,6782804,4251873,2541855,2541854,4251864,6782787,8124345,5204960,3175591,1858987,1061120,1061121,835945,471100,471098,835936,1478786,2568458,4296142,6846770,255372193,28154885,36628783,269299375,57851240,70552668,84089246,97962930,111900375,98951473,257993692,58723143,47334302,37425936,28883807,21607864,15579266,15579267,10915309,10915310,15760922,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,26627366,26627367,26894067,26894065,34973065,33216780,25470028,25470027,30547225,38681711,34612017,33993263,26151767,19453063,19453062,26151762,19453077,13920999,9554889,6269575,3925478,2350051,2350050,3925474,6269566,9554863,13920937,19452951,26151579,256151076,38719962,38719960,30433014,30433013,25620776,25620775,24289690,24289688,30226961,22835372,16614239,16614241,22835375,30226965,38809651,47811885,42733161,42733162,39022727,30433080,23026855,16784832,11735874,11735875,16784838,19038124,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327602,25752501,19114453,13646887,9344841,9344844,11017072,10408055,6860824,6860825,10408058,13847050,13847054,19359113,21011526,21993067,15895068,11018826,7294624,4600304,4600305,7294630,11018839,15894991,21992948,21078157,15140666,10442579,6884160,4321533,4321534,6884163,6884173,6884172,10442607,15140729,21069059,21069057,28176748,20995274,20995275,28176750,36652498,42730256,36480650,36480651,43059646,42607861,42607862,46706703,255678292,43888213,47809943,52924911,42514560,42514559,43024048,254659274,22967654,16731823,11689216,7795563,4943143,2983147,2983146,4943139,7795551,8308582,5361011,3295611,3295610,5361009,8308577,12301561,12227844,12227843,17357736,255055260,5333864,3278672,1928495,1928494,3278670,5333861,8266765,12241296,255378410,12242801,17374754,21797823,255165757,8268144,5334927,5334925,8268142,12242807,17370585,12240367,12240368,16164365,255168187,8287774,5576724,5576726,8582552,10436786,10436785,15132217,12531846,8493085,5493972,5493973,8493087,11231357,11231356,16164255,17449150,12300226,12300227,17449152,255463695,16163501,17373762,12241849,12241850,16169671,11237449,255021687,6932159,4355397,4355396,6932156,10512483,15239197,16165971,11233342,11233341,15553730,10757721,8581113,5575466,5575463,8581110,12638712,254774121,7460291,9192685,9192686,254773549,7455274,11234118,12561810,17753534,17704358,17704357,16164679,16164680,12677025,12238547,8264174,8264173,8526205,8526207,5524823,5524825,8526224,8559222,6349172,6349173,8518298,5516535,5516538,8518304,9192301,6017786,3764528,3764527,6017780,4708732,4708731,7452674,8558136,5555034,5555032,6015080,6014034,6014031,6016299,6016576,3763618,3763619,3376265,1987173,1987174,3376271,2037973,2037972,2255597,1309114,1309115,2255601,254445041,9192512,11234112,11234113,15875431,11004272,11004271,255288998,254471365,4084455,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,1296636,2235689,1717813,1717814,254332930,7758772,254498136,10398546,6854716,4301872,254488689,10398544,268199925,16635655,16635656,255944531 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13252247, s2 = 14162605, dlinesl.size( ) = 2 s1 = 13252247, s2 = 14162605, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13252247, Dl.E( ) = 28, 1.79e-05 seconds used appending s1 = 581957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 180801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 180801, s2 = 809887, int(edited[s2]) = 0 s1 = 180801, s2 = 809887, d1 = 9, d2 = 2 Dl.O(d1) = 4315346,4315347,6874240,10426325 Dl.O(d2) = 21043951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 180801, s2 = 809887, dlinesl.size( ) = 8 s1 = 13203959, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15169400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15169400, s2 = 406876, int(edited[s2]) = 0 s1 = 15169400, s2 = 406876, d1 = 1, d2 = 24 Dl.O(d1) = 5084190,3083888,3068860,3068861,5064608,3090996,2714847,1573021,894398,504582,282917,156247,156246,282913,504574,894380,577111,577110,322909,178459,98217,54335,30747,17747,17748,30752,54351,98257,178539,322923,322925,322972,575492,322068,322072,575503,578413,571346,571345,571588,571585,1014042,1016649,573043,573045,1016655,1780277,1780278,3055146,1807179,1032193,581731,581729,1032183,254380243,5079982,5079984,7981880,7981879,5093240,5093241,8000694,11951925,254824286,16973887,17031884,17028866,15153325,15153324,17528261,16954767,16954766 Dl.O(d2) = 578865,578866,1027391,1800266,3084294,5084615,7955598,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7960051,5063315,5063314,7960050,5091462,5091459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15169400, s2 = 406876, dlinesl.size( ) = 26 s1 = 8137118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8137118, s2 = 8372003, int(edited[s2]) = 0 s1 = 8137118, s2 = 8372003, d1 = 111, d2 = 106 Dl.O(d1) = 32281640,25115264,25115263,32281601,41089532,48549122,48549123,50046218,40026230,255505710,17510341,17510340,23852991,258182664,17510606,15137300 Dl.O(d2) = 257137043,62853092,75816408,89598501,103714385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8137118, s2 = 8372003, dlinesl.size( ) = 20 s1 = 9669015, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6563428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9066030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13229663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13229663, s2 = 16359700, int(edited[s2]) = 0 s1 = 13229663, s2 = 16359700, d1 = 13, d2 = 10 Dl.O(d1) = 10437940,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,11017674,15893051,15893115,17724315,12553903,12553902,17742524,23740365,24146017,254419936,17762348,24124664,28347852,21134750,21134751,24085822,17728499,12542737,254080692,3392586,3392587,5503478,8502618,12542749,12572524,17766489,23155120,22796192,22796191,28212093,28212094,31199246,23710899,17387386,254276210,5510953,3398864,2003798,2003799,3398866,3398930,3398915,3398914,5511058,3443209,3443207,3450842,2044315,2044313,3450833,5549772,3456816,3456812,5572647,8536535,8536532,8511733,8511731,12554096,17742765,13347388,254276346,12542920,8502725,254137232,15986227,15986228,22094107,254446420,24102875,23148378,16887822,11816681,11816682,16887827,22189220,16894196,16894195,23154087,23154086,24185274,17816714,17816713,22183339,16056586,11148738,11148739,8523774,8523773,12569492,17763008,16056590,16056593,12231454,12231453,12543435,14334732,10720534,9190822,6016467,3763519,2254810,2254809,3763514,6016456,9190801,13441387,18864454,23148090,23148088,23155972,16894672,16894669,23155960,17819215,16795680,12556572,8513223,5511975,5511976,3450316,3450319,5566436,5022051,3039814,3039816,5022062,7900668,9188449,9188446,13439156,18862283,24160872,23155634,16894325,12523123,8484971,8484970,9715554,14121686,9715570,6391533,4011126,2403938,2403937,4011125,6391531,9000480,13202716,17704677,17704678,24059499,29532024,24219239,17848982,12640276,8582482,8582481,8570572,8570573,12522828,12616356,11816095,9968903,9968904,8563918,8563917,8563934,5560650,5560649,8563931,12616382,16160330,16160331,22306727,29658825,38225030,254192692,17818993,12616063,12616062,17818992,24187526,24186678,24186677,25463446,18863283,13440380,13440379,18863280,17819529,12616493,12616494,13440353,13440332,13440333,13440344,11822135,7900502,5021981,3039780,1770139,1770142,3039788,5021997,6016659,3763672,2254927,2254930,3763680,6016673,9191067,13441725,14488658,14488660,20192929,27091721,31689880,24181243,17812871,12611050,8559744,5556796,5556798,6393396,7840936,11744002,11313477,7511930,7511931,11313479,16270447,13358299,13358300,13202984,13202986,12598396,12598397,13443206,18866321,18863077,13440130,9189779,9189778,6393474,4012234,2404567,1391452,1391449,2404559,4012213,6393431,9718596,7395664,7395661,11150379,8501065,8501064,12540056,17724597,24081831,22312532,254444962,21343037,16470619,11475905,7632901,4829000,254188982,11475907,16469957,11475466,11475465,11475895,16470600,18322345,20151527,14455820,9945302,9945304,14455823,20151530,27044066,26650322,24209402,17839289,255191438,16605621,12632712,8577380,8577379,9945531,14456223,17838998,19703715,20151690,20151691,27044203,34320404,30448627,23040916,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24068077,17712212,12529384,12529385,17712213,17712229,12529395,12529394,17712225,19703112,14127439,9719319,6393820,6393792,6393793,9719267,14127356,19703019,23992533,25464999,22183121,22183120,29525525,34320296,26442717,20012401,20012400,14332599,9845754,9845752,13442384,13442385,16171306,16171307,22316379,21064548,15130653,15130655,21064555,21794191,21062521,21062519,21067892,28265207,25698112,254739384,9323424,9323425,13615992,10899560,10899559,15131775,10436507,6880146,6880148,10436511,15131779,21063738,15130054,10435543,10435540,15130050,21063730,21063880,21068748,15133812,15133813,21062958,21062957,15133807,15133809,19165264,13685661,13685662,19165265,25814265 Dl.O(d2) = 63032270,51351909,41166774,32351774,32351775,41166779,49447527,42908398,42036522,38406159,38406158,42725830,33696113,31473693,23977395,23977396,29432306,29432307,31478387,37795574,37795738,29233324,29233321,31487814,31487852,40172904,49265429,39443420,30839261,30839264,39443425,41164781,41164780,44419300,44419299,55266657,49265010,39338924,30740361,23321225,17056054,254327990,23409029,30838075,25014925,25014926,32697467,30445798,23038113,23038112,30445796,39035236,48957219,46831205,36953088,28452736,254406228,10524949,10524947,15255668,21225832,28452726,36953069,46629146,38210080,33378977,31489294,23992056,23992055,23970850,17621810,17621809,23970845,31466510,40150256,50175645,61661860,50187693,40163509,31478873,31478874,32747224,32747225,41657715,41657833,37926221,37926220,47212641,40163409,31478802,31478804,31478844,31478845,40163467,39441807,30838012,23408997,18548366,13179101,8983501,8983499,13179092,18548346,25095306,32794698,36832349,36832348,41711070,40153382,40153381,38744481,30161397,22772721,16558148,16558149,22772725,30161405,38744498,40169209,50193212,59547507,58197186,58197187,50178425,40153274,40153273,50178419,61664139,61666880,61666879,52767375,42368041,33379083,25613630,25613629,33379079,40515582,40515583,46820497,58186774,46825156,36947210,36947211,267959794,40171843,50195659,61679090,255877758,59213243,47814817,42368387,33379396,25613835,19000396,17640671,17640667,23986438,23974060,23974057,31469866,31472560,23992383,23992384,31472556,31472554,31472847,23992969,17648373,12476129,12476128,17648368,23992953,31490424,40175744,40175773,37012701,28513616,254859850,46891731,48330821,40167826,40167827,49447721,49447722,46615227,36727524,28233700,21036406,21036407,28233702,36727374,36727375,31484114,31484113,34603984,30359388,22957880,22957881,26914666,34996077,39515677,39429217,30825048,23397349,23397346,17190646,17190647,23471822,30906979,39515705,48086667,57991023,46614886,36727207,36727208,46614888,37371045,37371044,36904877,28407546,21186321,21186323,28407548,255182794,58150157,47716361,38687813,38419349,38419351,48327749,38420003,29851996,29851177,29851175,24293524,17911454,12689685,12689686,17911456,24293531,24939854,25046237,29673387,38238588,29851108,29232842,21915738,21915739,29232846,22485827,21915833,15832727,10971962,7262456,4580153,4580155,7262467,7262393,4580125,2755615,2755616,4580129,7262405,10971878,15832566,15832620,15832619,16313682,11350189,7541946,7485864,7485863,11277070,16221991,18775394,13371050,13371049,14360221,11350381,11350377,7541933,4770514,2875785,1669331,1669330,2875783,4770510,7541929,11350422,255254344,254441894,29174393,29174392,29851882,22486405,16314056,11350419,11350420,16314058,22486406,17832617,12627167,254613146,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,8532816,5530921,5530923,8532822,12554204,12554203,17742918,15487639,10709933,7075468,4454524,4454525,7075471,10709937,15487644,17789331,12591016,12588522,12588523,17786058,24153255,28024677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13229663, s2 = 16359700, dlinesl.size( ) = 2 s1 = 13229663, s2 = 16359700, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13229663, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 9735878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 408224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13301411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339574, s2 = 13200890, int(edited[s2]) = 0 s1 = 10339574, s2 = 13200890, d1 = 46, d2 = 27 Dl.O(d1) = 21121645,28333347,25191440,18630495,18630494,24706001,24706002,32320400,39174978,39174977,256078850,30890974,23458168,17179764,12079315,12079316,17179769,22951750,16714990,268015296,21874633,21874632,29186011,23160479,16899161,16899162,23160484,30577352,36883421,33597416,25800501,25800499,29582524,29407818,22077095,15972658,15972659,15972233,11087534,11087532,15972901,22078629,267990982,15971446,11813236,11813237,15973245,11087845,7353175,7353176,11087847,11813230,16883674,15972929,15199441,11088835,11088834,15974060,22079471,22078327,22078328,22078357,15972634,11087328,7352765,7352764,4644695,2797776,1622950,922902,520295,291682,291681,520291,922894,1622938,1762261,3028639,1762917,1762918,2798031,2798032,2857775,3028671,1762277,1004010,1004008,1762272,3028660,254422084,7354006,11088780,11085934,7351573,7351572,7353235,4644858,4644857,7353246,11083395,7353786,4645235,4645234,4645240,4645381,4644465,2797647,1622874,1004204,922722,922721,1622622,2797243,2797718,1763434,1004624,1004623,1763430,3030719,5012057,4644146,2797445,2797444,4644142,3029068,3029066,5009523,4644774,2797834,2797832,1623057,922949,520316,520315,922943,1623039,2795921,3029953,5010996,7351907,4643947,4643946,5010750,3029789,254104096,565949,316970,175260,175261,316972,565953,1004326,1762879,3029815,5010790,7889624,11809652,11809651,15210654,10492297,7890642,7890643,7890499,5011487,3030285,3030284,5011485,7286174,7887853,5009645,5009646,7887857,7890711,5011874,5009569,3029105,1762503,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,4594706,4594707,7286040,11006396,11006972,11006975,15878443,11812794,11812441,7890709,254119298,6916383 Dl.O(d2) = 8268878,5335431,3279692,1929136,1102218,267746031,188528,188527,254105481,343791,618612,1102226,1929151,1929138,1929139,254398813,1929114,1102205,1102204,1929111,254398811,254779409,7511691,11313127,12116296,8147039,7326462,4627286,4627288,7326467,7825618,5031878,3046080,3046083,3446136,3446135,5562149,5219312,5219309,8147265,5316582,3265687,3265688,5316584,7311617,7311616,8234048,5306117,5306118,5219211,5219212,8147152,12116386,17235064,21660416,28939264,255955854,30615006,39211461,33837086,26017945,24299075,17916353,12693673,8623290,8623292,12693678,17916361,21171932,15213202,10494046,10494044,15213191,16927237,11847152,7918152,5034056,5034057,267987143,7918123,7918124,11847108,16927174,23194716,16927134,13201625,13201623,18576851,25129646,32834907,41756044,52069831,60538644,49138629,39211827,39211828,49138630,50698588,62218675,59556139,48169563,38260063,38260064,44512139,55358731,59556060,256077950,255225106,38259993,29694233,22340894,22340893,29694227,38259986,38662167,48578156,48169459,48169460,59556081,59556368,48169847,48169373,40639440,40639438,39212022,39212021,38259401,38259400,39128766,39128768,48169070,49042870,48169180,38259645,29693942,22340694,22340693,29693937,22340826,16192465,16192467,16192437,11255949,7472194,4722224,4722225,7472201,11255956,16192447,22340798,16192565,11256011,11256012,16192568,22341002,29694262,22340917,16192523,16192522,22340915,29694255,29694458,29694238,22341109,16192652,11256061,11256060,16192647,22341106,29693773,22340568,16192306,11255878,7472157,4722203,4722201,7472152,11255866,16192292,16192544,16192545,22340959,29694312,22340968,16192553,11256007,11256008,16192558,22340982,29694334,29693545,22340405,16192219,16192220,16192571,16192570,22341007,29693971,29693867,22340639,22304099,16158306,11226375,11224482,7447642,7447646,6001551,6001552,9169540,8081318,5177082,3158274,3158276,5109007,5159300,5159299,8046211,5136338,3123232,1825563,1042075,1042077,1036870,1036868,254255953,5110911,3103458,3103459,3142973,1838245,1838244,1846958,3118864,1822825,1040525,1040523,1822817,1040607,1040606,1822989,3119124 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 125946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163334, s2 = 9139453, int(edited[s2]) = 0 s1 = 14163334, s2 = 9139453, d1 = 14, d2 = 9 Dl.O(d1) = 255865816,21834463,15765616,15765615,21834462,256358559,47626026,59028695,71771429,85361279,85119980,71548968,58820759,47434238,37526619,28982681,28982686,37212742,37212740,37125115,28614070,28614071,21700435,21700434,15660851,254744545,7167066,10841382,15660863,15660887,15660886,21701297,28984036,23282956,17023783,11938798,11938799,17023784,23282958,30698472,28983936,21701200,21701201,28983938,37528061,47435654,49223153,39296127,39296126,37525961,37525962,39918679,39918424,39918407,31242885,23758731,17431474,17431475,23758733,31242888,39918414,37526238,28982317,28982316,37526236,47433880,39918676,39918677,47434135,49936424,49936181,256513189,31242769,39918273,49936180,49936305,39918387,31242872,31242873,37526223,37526222,47433870,39938853,31263860,31263861,39918489,39918488,39918769,31243165,31243166,256926270,47917905,49936653,61414432,49936253,49936252,59085139,47685286,47685285,39169687,30571513,23153897,23153898,30571515,39169694,47852979,39938800,31263835,31263838,39938814,37763273,37763272,37763318,29298549,29298551,37867703,47792123,59192324,48647474,48647476,47434257,39743652,38002133,29439049,22105795,15994666,15994664,22105792,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950567,28985408,21702368,15661689,10841903,7167369,7167370,10841908,15661699,16217228,16217227,15661676,15661677,14230531,14230529,19862617,22372190,21702115,15661519,15661513,15661514,15661444,10841760,7167288,7167287,10841756,15660933,15661346,15442008,15442009,21436594,28686599,37210930,47107731,257446817,71207542,58485841,58485842,71207545,84776506,270833319,73591609,87213644,101214536,115292740,256825984,86075188,72477030,59741861,254715970,28339031,28339033,36835844,46513155,36645587,28170181,20989578,15076366,15076367,20989580,28170182,36645610,28735606,256330395,47173723,51063448,40922861,33501948,25724089,19093140,19093141,25724094,24569445,18128773,18128772,24569442,32152911,33501928,25724070,25724069,33501926,33501800,25723961,19093051,13631431,9334065,9334063,13631425,19093041,25723941,33501772,28292795,28292796,268607488,19093031,13631417,13631416,19093029,24465988,24465987,32028037,40784562,50901183,254222364,36450258,27991675,27991676,36450261,34561398,34561397,43834300,52909983,42500422,42500423,43834276,43834274,38080996,38080995,255382618,72115318,72999348,85457028,99397846,258028070,98293452,98293451,260500777,139508906,152239966,164126591,174947571,263481243,200138713,206215598,211240626,215346229,218738451,221602103,221602102,224061568,265266288,264839868,206226834,200152589,192959205,184573755,174970617,164152466,262399482,146117053,132901316,119082250,119082249,112299839,259575822,58135223,256841545,255813715,15214131,15214132,21173108,28392492,28392493,28392494,36889368,46767548,58135225,70849539,84407147,84407148,98316956,112299840,103897273,89796139,76019339,63036454,51355664,51355663,51355665,41170428,32355574,24739795,24739794,24739793,18905815,13474275,9215771,6034108,3774930,2709091,2709087,2263072,1313021,1313022 Dl.O(d2) = 1569385,1569387,2263083,2262374,2262378,3489943,5617949,8638409,9215586,9215587,255264529,18905675,25515615,33275963,25515716,25515715,33276050,42255619,52640980,64540066,63987418,256073190,256073188,36969611,36969612,38004325,38004326,32729511,32729510,32227022,24630961,24630960,29441401,22107979,22107981,29441406,38004343,47920027,55801378,44872069,44872070,38004358,29441421,25041567,25041569,25199828,18637148,13250964,254429028,25199831,32912377,32729531,25041626,25041627,32729534,41636650,257757259,76860037,90734905,81075444,67607172,55265427,44417836,44417837,55265429,47920038,38004349,38004348,41636627,32729503,32729502,41636625,47920020,59313475,50843564,40737676,256108450,24433728,26963279,35043509,38004368,38004369,47920051,59313494,62220283,51940457,51940432,41636614,41636613,32729494,32729493,41636612,51940430,63752428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163334, s2 = 9139453, dlinesl.size( ) = 8 s1 = 587519, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7877042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7877042, s2 = 9087848, int(edited[s2]) = 0 s1 = 7877042, s2 = 9087848, d1 = 22, d2 = 25 Dl.O(d1) = 257031044,15401483,10645091,7028442,7028443,10645094,15401490,21384739,22711704,16507648,16507649,19007835,268751933,36903071,36903070,29613886,22262979,16122583,16122585,22262981,29613890,38180974,37485277,31328507,31145601,23658833,23658832,31145598,39827745,46790641,36913055,28415383,21193549,15230037,15230038,15252238,10522355,10522356,267823310,2625054,1515209,858932,858933,1515211,2625058,2614482,2614481,2608061,1505246,1505245,254330235,4356077,267881071,4351786,2606284,2606283,4351784,4352674,6928374,6934159,254330909,1509370,1509371,2613852,4361843,6931314 Dl.O(d2) = 8606279,8606281,10518981,6937003,4359126,2611844,2611846,4359133,6937016,8615064,5600051,3476166,254421935,8333111,6940109,6940110,10523259,15253452,21223064,28433369,21209254,15242750,10515515,10515516,12335412,17494837,23833734,31324378,28446795,21220644,15251510,15251509,255817807,271420862,269413316,17659193,17659195,17659198,17659200,23958892,21783314,15724382,10887815,10887816,15724385,21783320,29081162,256302408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7877042, s2 = 9087848, dlinesl.size( ) = 2 s1 = 7877042, s2 = 9087848, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7877042, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 8004278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8004278, s2 = 9222542, int(edited[s2]) = 0 s1 = 8004278, s2 = 9222542, d1 = 82, d2 = 84 Dl.O(d1) = 16580976,11561129,11432608,8624696,8624698,5764286,5764283,7587980,4902273,2954650,267767443,973568,1713322,2954655,2892564,1678791,955057,955058,1678780,1678782,2892546,4798885,7586959,7748338,4907000,2957631,1714967,1714969,1715007,974436,974422,974424,1714986,974483,955412,955211,955210,1679145,2893292,4728910,2956123,1714086,973950,973953,1714094,2956140,4904604,7582584,7610255,7738771,7610534,4814811,2901603,1683329,957200,539411,302289,302290,539415,957213,1683362,2896613,1680839,956039,956037,1680829,2896595,1681940,956515,956517,1681911,2898635,2898633,4801189,2897317,2897320,4807289,7599212,11430564,7617926,5562406,5562407,7590315,7590314,7741017,4901553,2954186,1713060,973448,973450,1713068,2954198,4807900,4817627,2903263,2903262,4817613,7595766,6897436,6897433,6813505,6813506,6813587,4870795,2935154,2891670,1678341,1678339,2891681,4797304,4813788,4813789,4392949,4392950,6990715,7595175,7595113,4804302,2895557,2895556,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731590,11611817,13343238,18743384,16422973,11439087,11439088,12839468,8731175,254419792,2104632,2104629,1680135,1680140,2895228,4056425,2606776,2606772,254493591,10506547 Dl.O(d2) = 233098832,265273468,264602774,274369855,272955002,202994784,260812612,133342537,119483296,269043152,91048998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8004278, s2 = 9222542, dlinesl.size( ) = 18 s1 = 8001872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16223167, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7846842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 588532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 588532, s2 = 1119179, int(edited[s2]) = 0 s1 = 588532, s2 = 1119179, d1 = 3, d2 = 26 Dl.O(d1) = 15245101 Dl.O(d2) = 28778136,21515341,15504778,256333065,255069742,22490216,16317179,15547080,10752677,7103936,6884584,4321773,4321774,6884586,10443261,15141822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 588532, s2 = 1119179, dlinesl.size( ) = 20 s1 = 43728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 43728, s2 = 9373003, int(edited[s2]) = 0 s1 = 43728, s2 = 9373003, d1 = 28, d2 = 37 Dl.O(d1) = 853577,1505616,2608618,2624570,1514855,1514854,2624569,4382205,6975516,10575159,10523938,6940662,6940560,4361748,255022847,21198010,255808854,4353635,2607615,2607616,4353636,6929603,6934675,4357481,4357482,254723825,15242861,21209420,28420792,21198285,15233861,15233860,21198282,17494919,17494918,21113225,17495252,17495254,12335768,254491544,12683504,17903979,19077416,19077417,21220259,15251215,10521532,10521531 Dl.O(d2) = 28446374,21220255,256307329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 43728, s2 = 9373003, dlinesl.size( ) = 8 s1 = 14165319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165319, s2 = 14270474, int(edited[s2]) = 0 s1 = 14165319, s2 = 14270474, d1 = 24, d2 = 22 Dl.O(d1) = 256955541,269815155,86057298,100020608,114048101,127929322,141290714,262251389,176399094,263556879,201119268,201998405,195083087,263234273,167222917,261825491,129710729,115812092,101766169,87793678,74189977,61410970,49932383,39914107,31238652,23755158,255557355,12284295,8296043,5351919,5351918,8296042,12284294,12188982,12188981,254848823,6791152,4257784,4257783,5942656,3715982,3715986,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249267,6779044,6832238,6832235,10370041,10300675,10300674,14968481,20870830,22752282,268373741,15039305,13304587,13304586,18697593,25269441,24255121,17877583,17877582,14445877,10334939,255004007,14254465,12639785,12639300,8581616,5575947,5575943,6985399,10589342,15332148,12400715,8380630,8380631,12318244,8320459,8320456,12317973,17471810,23805075,23805092,17561357,17561358,23905273,23718750,23718752,23361121,17092335,12005251,8060667,8060668,12005252,17092336,23361123,30786399,39388678,255500462,37610720,29061480,21765779,15709107,10875233,7190280,7190279,10874698,15708185,15708186,21764486,29059940,37609048,47513764,47826002,47826001,47826019,38465382,255917863,22551624,28436064,21211425,15244410,10516673,6935448,254330583,1507391,854692,254097567,150579,150580,271629,482705,854696,1507214,1507217,1507545,854802,854803,1507474,854744,482741,271647,271646,482740,854741,1507468,1515886,1515887,2625883,254494561,6934287,254723767,4357039,2610206,1506736,854283,482468,271503,150514,150513,271501,482463,483256,481735,481738,852964,855049,482901,271725,271722,481694,482146,482144,482156,271334,271332,482149,853705,859563,1516066,2626124,4356161,4356162,4359347,6927159,4351726,4351727,6927161,4353777,4353778,4353203,2607276,2607275,4351723,2610196,2610197,2624720,2607749,1505043,859466,485291,272990,151285,83165,45489,45488,83163,151245,151246,150747,267735987,25178,14078,7748,7747,14077,25175,45352,82889,150724,271894 Dl.O(d2) = 21222758,15313166,255393273,15313156,15313155,21274607,21216122,15247830,15247829,21216118,17891269,12672835,12672832,17891259,15314331,10577062,10577063,10577076,10577078,15314361,12683721,8615226,8615224,12683711,17904248,21226431,15256161,10525298,6941606,6941603,10521107,255022559,19778143,19778145,14525470,9994556,268641264,20264027,14538928,10003119,6573614,6573619,10003093,10003094,14538856,10003075,10003077,14538864,10498522,6922806,4349116,4349114,6922696,6922695,10498365,15219492,15618424,21652871,28408616,21187317,18450447,18450448,24970202,21182422,15221241,10499554,6923429,6923428,10499553,15221236,21182417,28403221,21278351,15316065,10578302,6977968,4384046,4384048,6977976,10578318,15315942,21278168,23284690,17025475,11940394,11940391,17025468,23284678,18500857,13144180,13144178,18500848,25034011,24042409,20859396,14957899,14957896,20859386,15223239,15223238,21185051,18500306,17063172,11971518,11971521,17063180,18647154,18647155,21185617,15223688,15223687,15227077,11920212,7974599,5074703,3077321,3077322,5074706,7974607,9326827,9326828,13040089,8881706,8881710,13040107,15222175,15222176,19188837,24716648,20931691,20931690,15862545,255439323,29277593,29566519,255055134,16088394,11174029,7413626,7413627,11174033,16088408,11206287,11181825,11181828,15628206,10814605,10814604,15628205,19425745,13898947,9537968,6257208,6257209,9537970,13898949,12493055,8624237,5607387,254618493,12493059,8461545,5467210,5467209,8461543,12493056,17667105,24015084,24015086,31516204,31516203,38452440,29895274,22539812,22539810,25857375,19200302,13712683,13712682,256157453,42694100,33663414,25857370,19200299,13712681,13712680,19200296,25857365,33663405,42694079,42694078,53144576,42694081,42694080,53144578,255987718,30147336,30147335,33663418,33663419,42694104,53144595,53144594,59904525,59904524,51948998,47032245,38596366,30023963,22651203,16459844,16459843,22651202,30023962,33924049,33924050,42977472,42977474,33924051,33924052,32444218,32444217,36778154,46663447,46671372,46671373,257109560,33729309,25922395,19260523,255694311,33729305,40518731,50555204,46663448,256295479,21077051,21077052,28282103,24809563,18320950,18320951,24809565,32444220,256618858,46671370,47556986,47932525,38018646,29456649,22122655,22122657,29456652,36802901,32191578,24603708,24603706,29583898,256392483,38150036,47176719,256553864,31749331,255203202,17863087,24238188,268690861,50480321,61973022,58565487,58565488,71297427,59586616,50480306,40443876,40443877,50480307,40443890,37937629,37937628,47857475,55459658,47276091,37366077,28825855,28825856,35230164,256049490,20229201,24238183,24238184,31749322,40443873,44611236,55459650,67801216,72321060,72321061,70931410,58214163,58214164,70931412,70931414,70931413,58668104,47276528,37366544,37366543,47276526,258068965,58668129,47276551,47276505,47276504,47276343,47276342,257458067,256925752,28826308,28826293,21555491,255844657,21555271,28826084,28826291,21555489,15535103,15535102,21555486,256336693,28826258,28826263,28826264,37366529,37366337,28826094,21555291,15534936,10743824,7098414,7098415,10743825,10743654,7098293,7098294,7098425,4469432,2685335,2685334,4469429,7098405,7098406,7098428,7098429,254504453,2685252,1555531,1555532,2685254,2685318,1555583,884448,254160351,2685287,2685286,4469374,4469422,7098408,7098430,4469437,2685337,1555593,884457,499074,279883,279882,499072,884450,499076,279884,279885,499078,884464,1555598,1555528,884462,884461,884429,884430,1555557,884426,884427,884445,499067,279879,279878,499065,884389,884390,884394,884395,1555522,1555510,1555511,2685233,1555574,884439,884438,884424,884425,1555554,2685283,2685227,1555505,884382,499033,499032,884381,1555502,1555515,1555514,2685239,4469331,7098266,4469376,2685290,2685291,1555571,884437,884436,254336877,7098363,10743757,10743736,7098343,4469383,2685296,2685294,4469380,7098336,255042183,21555093,28825858,256336691,21555455,21555456,28826249,37366195,268617471,28826050,255540322,28825948,28825939,21555142,15534831,15534830,268387085,21555146,21555247,15534899,15534898,21555245,28826053,37366199,37366209,28825959,28825958,28825955,28825956,37366207,37366309,28826046,21555256,15534904,15534903,21555220,21555219,28826017,256336683,28826028,37366285,37366291,37366280,28826026,28826027,37366282,47276297,58667910,48503933,38589005,30016549,30016550,38589008,269351831,72639315,86241789,100209949,112888612,100209945,86241786,86241785,260024361,100209946,100209947,100209940,100209941,114244377,100209956,98914012,84988620,71414708,71414707,58680959,47289855,37380503,37380502,47289854,256361852,59647286,59178486,59178487,268933380,84988618,257483444,257483438,85502249,99444163,258717364,59178490,71916806,85502247,256903650,269799124,257921180,47779398,59178494,269339354,37855895,37855896,47779396,48260147,59647290,58667828,47276224,38349260,29777226,29777227,255899104,39904443,255944324,256007345,39904447,48260139,59647278,48260137,38349258,29777225,22412779,22412778,29777223,38349254,48260128,59647271,72382105,74183556,87787792,101760812,271553714,258750582,72382102,59647269,59647268,72382100,85977282,85977285,72382110,59647275,48260130,38349255,38349256,48260133,47276223,47276222,48617112,59910322,48517228,38602515,38602516,48517230,59910323,72650559,72382109,72382108,85977287,99935354,86897498,86897497,100876614,112888743,102344009,99935356,99935357,113958237,114926536,100876598,100876599,100876601,86897489,73287523,60544425,258202867,86897483,73287519,60544420,60544419,73287518,86897481,83919139,70393158,57699278,257999283,83919141,97777202,111698652,112641859,98901261,84976245,84976238,71402206,58667685,58667684,58422810,58422811,71144465,259303647,88347905,88347904,84976236,84976235,259375560,98901249,98901250,84976228,258127174,59647250,48260111,48260110,40401918,40401919,50435955,61926425,269636806,61926399,74719925,80278335,80278336,87618690,75413146,75413145,75413142,62494297,50894421,50894422,54590098,256744214,80278333,94334807,108622162,270352922,258148532,84850743,71276832,58545253,58545227,58545226,255478756,28721132,21464890,15463991,10692648,254359106,21464893,28721137,28721151,37252040,47156907,58545213,58545212,47156855,37252020,37252021,255547332,60785704,60785705,71276805,71276801,71276800,58545217,58545216,70531541,70531540,71276804,71276813,58545230,47205961,37299319,37299321,47205963,58596304,47205973,47205972,58596317,70531557,57830020,57830019,70531555,72003024,72003021,59266886,59266887,72003022,259359929,260536111,117994938,117994937,116591170,116591169,117994929,104416693,90264641,76434107,76434108,90264643,104416695,116591171,102489157,88482248,88482249,102489159,101179638,101179637,88482244,74846377,62048011,50555295,256557629,268429249,23451834,30883290,39489288,49418826,60818763,258228152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165319, s2 = 14270474, dlinesl.size( ) = 20 s1 = 589323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 589340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13449739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13449739, s2 = 15909324, int(edited[s2]) = 0 s1 = 13449739, s2 = 15909324, d1 = 48, d2 = 46 Dl.O(d1) = 95108898,81051581,67583987,55242213,44393560,35017279,26935893,20049681,20048329,14362486,10812296,7144974,4499034,2703395,1566507,1566508,2703396,4071645,6497890,6507031,4077615,2439750,1410592,1410591,2439749,4077614,6507026,4362037,4060770,4060771,6480275,4658815,2806806,1628325,1628327,2806815,4658824,4658995,4658984,2806915,1628370,1628369,2434636,2434635,4068663,6493248,9882896,14376873,20061265,26946411,35027205,44402660,55250530,67592126,81059806,95117249,85973545,72378734,59644232,48257424,47337247,37429041,28886967,28886968,37429043,29775492,29775491,38098278,31203738,31203739,256103683,25092214,29534242,29534243,29580590,22232804,22232803,22412529,16248375,11296460,7500032,4740909,4740910,7500034,11296464,13191604,15111670,15111671,21038857,22191189,22191190,29534339,256039412,25114076,28778961,21539696,21539698,25113995,18563808,18563807,25114130,28806669,37344715,29892416,25113885,18563607,13191498,13191499,18563608,25113887,32817520,41738480,52053252,42309947,33329566,25569500,18959692,13523707,9255050,268027155,18959690,25569496,21236841,15268271,10535441,6947963,4366007,4366006,6947959,4366013,4366014,6947977,10535456,15268293,21236870,23703742,25564279,21236868,255023818,255325357 Dl.O(d2) = 2678882,4459304,7082906,5225787,4890210,2946914,2946915,254547915,7725855,11605697,255501247,22551442,22551443,29907718,38465036,39913253,39913252,31238277,23754835,23754834,31238274,39913712,49931966,61410346,61410347,58623510,47230630,37321734,37321733,47230627,47818678,49931653,58623499,71360310,60157794,48763958,48763959,49931932,49931931,49931234,39912909,256008105,17428492,17428495,23754877,23754478,23754476,31237835,39913334,39456452,30852314,30852315,39456453,33494012,25718037,25718038,33494014,39456436,30852294,23421655,17144741,12049176,12049178,17144745,23421661,30852303,39456443,38324326,38324323,31238292,31238294,39913727,39483322,30877835,23447382,23447383,30877838,23657552,17340636,12214339,8244720,8244719,12214336,17340631,23657547,29754785,38324333,39898587,31221747,23738115,23738114,31221746,38790288,37896771,255566892,59216992,48304903,38394429,29822052,22454786,16286138,16286139,22454789,29822062,38394440,48304915,48304852,48304853,58839151,58839150,48234226,38324295,30251957,30251958,38835787,39483337,30877849,30877823,30877822,39483317,31144574,31144561,31144564,38394452,38394453,31570727,24065076,24065075,24065082,17709567,17709568,24065087,31570738,30879626,23448772,22454798,16286145,16286144,22454778,29822039,38394411,254774908,37321710,38323922,38324292,30251997,22857066,22857065,22454780,268406731,38394418,39971930,39483311,39483310,44789981,35365687,35365677,27242410,20311649,20311650,27242412,22857046,22857045,30251969,38835776,44789967,44789968,48304836,48304837,38835830,36971999,28473827,27242418,24065096,17709575,12527348,8488999,8489000,12527353,17709583,24065108,31570755,38835857,38835856,38835860,39957747,39957746,38323926,29754400,22393745,22393746,29754404,30787714,27242372,27242373,28880452,21604703,15576466,13547412,13547411,15671681,21714718,27242368,35365636,38835805,30251980,27242390,20311637,17093470,17093471,14576652,14576650,16631217,16631218,22857061,30251993,37422445,28880469,23450378,23450379,22393544,22393543,23362325,18297384,18297383,17709557,12527341,12527340,17709550,14576697,12006660,8063085,8063086,11714933,10036063,10036062,14585643,20324369,27258404,35383642,44808125,39025875,39025874,48948548,58129851,46761751,36883311,268913003,37300144,38241277,29676501,22325449,22325448,21507120,15498760,15498761,21507122,16179925,11246385,11246384,10718195,7081260,7081261,4717538,2842040,1648627,937369,528211,295900,295899,528210,497702,497703,881998,1551402,2678313,2678312,4458355,4717615,2842081,1648656,937390,528221,295904,163648,89920,49448,27648,15681,8818,8819,15682,27651,254074525,163685,295970,528351,937622,1649071,2842756,2842755,4718621,7466781,7466386,7466385,9274819,9274822,6343053,3979615,2384999,2385001,3979619,6343061,6465560,4051111,4051110,6465705,9844542,14330793,20010098,25739879,25590046,18980846,13544298,13544297,18980843,13587355,9303608,6094441,6094439,9303604,13587346,19035150,13587466,13587467,19035310,256143315,42374885,256200220,16422572,11438704,7606161,4812011,2900058,2900057,3836034,6131478,9360899,13669697,15707245,10873473,10873470,15707237,15707308,15707306,21763500,29058940,37608027,47512713,40353704,31658943,24148690,24148689,30780439,39382283,49310065,60463022,49059421,39129486,30530974,30530975,30526685,30526684,255137052,38403641,38403642,48314355,38403648,29831465,22463935,16295582,11337853,11337852,16295579,22463930,255128386,38403626,38403625,30530977,23112587,23112588,30530979,38403639,38403640,48314342,38403623,255137420,59701179,48314340,48314341,59701182,60458436,60352524,48955900,39033811,39033812,48955902,60352527,63956560,73209757,60463002,60463003,60434088,49030340,49030336,49030337,49059443,39129502,30530992,30530993,39129503,36826774,28330750,21119642,21119645,22110246,15998457,15998458,22110249,16781718,11733768,11733767,16781692,16781694,23022612,30428037,36826775,42736202,42736203,42736201,33706713,25900494,19239898,13746172,9418224,6170911,6170910,9418223,13746171,19239895,19239893,13746168,13746169,254430800,33706710,42736196,42736195,53185387,63013790,51332910,51332911,51332939,267922422,24716364,18243292,12940705,8803733,8803732,12940703,18243288,24716357,32332539,41147662,51332916,269940773,53107417,42655548,33626675,25824886,19173635,19173634,19173658,19173657,19173617,13691913,9376915,9376916,13691915,255688951,33626659,33626684,33626658,25824869,25824870,33626649,42655518,53107386,65094266,78378238,259696617,258629406,72318093,85911524,73004595,60269658,59583463,48197005,38287914,29721471,29721470,38287911,38287908,38287907,257525947,72318092,72318141,257394522,48197033,59583435,59583436,59583443,59583442,48196987,48196986,59583439,72318067,85911503,99867125,113886005,127761361,134769998,134769997,129899318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13449739, s2 = 15909324, dlinesl.size( ) = 2 s1 = 13449739, s2 = 15909324, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13449739, Dl.E( ) = 50, 2.1e-05 seconds used appending s1 = 8232867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6491907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6491907, s2 = 13276197, int(edited[s2]) = 0 s1 = 6491907, s2 = 13276197, d1 = 14, d2 = 2 Dl.O(d1) = 255167112,21230136,15260254,10528657,10528658,15260237,15260236,21230122,21241452,15280021,15280022,255389987,10540523,6951375,4367959,4367962,6950681,10539512,10551695,6959165,4372442,4372441,6958406,4372090,4363639,2614979,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535 Dl.O(d2) = 28457917,23435635,17160338,15278557,11394765,7570925,7570923,11394763,15284239,10549769,10549768,6970292,4378944,4378943,6970291,5195850,5195849,8109974,11270175,9256285,6062197,6062198,4364186,2615248,2615247,4364182,6944577,10529945,10529946,10529981,15261101,10529331,6944189,6944188,9259860,6064820,6064817,6064837,6064839,6974173,10573398,8114651,8114648,12060253,12057121,8106608,5193866,5193865,8106604,12057110,8108917,5195241,3169900,1855832,1059208,595626,595625,1059204,1855825,3169887,5195214,7185170,7185169,10867329,12063184,8111190,7843015,4978563,4978562,7843011,11746986,16800204,21245247,28467019,36965854,46844710,46858573,36979997,28482860,256006004,8284464,5344611,5344610,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6491907, s2 = 13276197, dlinesl.size( ) = 8 s1 = 7922910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7922910, s2 = 14131516, int(edited[s2]) = 0 s1 = 7922910, s2 = 14131516, d1 = 134, d2 = 98 Dl.O(d1) = 257902058,23430552,17165652,17165651,23439542,21243550,21241485,15276548,10542767,6952890,6952891,5353061,3289980,2621911,1513372,1513363,857894,857895,1513365,254331723,3794480,2272904,2272903,3172347,4702580,2832985,2832986,4381612,6974777,10574166,15310689,21251476,15286331,15286330,12688779 Dl.O(d2) = 264828174,219123466,215779543,211736014,262838420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7922910, s2 = 14131516, dlinesl.size( ) = 2 s1 = 7922910, s2 = 14131516, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7922910, Dl.E( ) = 136, 3.5e-05 seconds used appending s1 = 590571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7924112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7924112, s2 = 3984175, int(edited[s2]) = 0 s1 = 7924112, s2 = 3984175, d1 = 6, d2 = 2 Dl.O(d1) = 16188852,11252985,11252984,8362393 Dl.O(d2) = 259112472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7924112, s2 = 3984175, dlinesl.size( ) = 2 s1 = 7924112, s2 = 3984175, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7924112, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 590701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7991788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10169854, s2 = 14993178, int(edited[s2]) = 0 s1 = 10169854, s2 = 14993178, d1 = 4, d2 = 47 Dl.O(d1) = 47093079 Dl.O(d2) = 203498860,264616519,217333217,265283387,225355947,227334923,229064955,230591559,231950102,233172922,234278291,234278294,233172923,231950106,231950107,231950134,266275179,233172934,231950123,230591579,265783419,225355961,225355963,225355966,227334949,229064982,229064956,229064955,230591560,231950105,233172924,231950135,230591588,229064984,227334950,227334949,229064983,230591562,266049893,229064988,229064954,227334922,227334921,229064952,230591556,231950100,233172918,234278289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10169854, s2 = 14993178, dlinesl.size( ) = 2 s1 = 10169854, s2 = 14993178, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10169854, Dl.E( ) = 48, 2.5e-05 seconds used appending s1 = 591813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 591813, s2 = 13387190, int(edited[s2]) = 0 s1 = 591813, s2 = 13387190, d1 = 9, d2 = 22 Dl.O(d1) = 15330818 Dl.O(d2) = 55482375,55482376,67824057,57800115,57800114,70500983,84035708,77521292,70500945,70500946,77521239,91450827,97905557,92280605,81634805,68144716,68144717,81634810,77521268,64355936,64355937,64708674,52794834,42395193,42395191,52794828,64708667,77897167,64708679,52794874,42395224,36579682,28107634,20931216,20931218,28107639,35247738,35247737,42130623,42130624,52485660,47080176,37184966,28664069,28664070,28107602,20931202,20931200,28107598,36579616,46444736,37185018,28664097,28664096,37185014,47080236,58458328,71180387,64708649,52794811,52794810,47080272,37185038,36579654,28107619,28107618,33549119,25760139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 591813, s2 = 13387190, dlinesl.size( ) = 2 s1 = 591813, s2 = 13387190, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 591813, Dl.E( ) = 34, 1.6e-05 seconds used appending s1 = 416156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 416156, s2 = 8712922, int(edited[s2]) = 0 s1 = 416156, s2 = 8712922, d1 = 61, d2 = 14 Dl.O(d1) = 10637945,10597419,255395755,28535518 Dl.O(d2) = 213579989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 416156, s2 = 8712922, dlinesl.size( ) = 38 s1 = 13320723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13320723, s2 = 11574370, int(edited[s2]) = 0 s1 = 13320723, s2 = 11574370, d1 = 50, d2 = 40 Dl.O(d1) = 18291392,15439826,10674215,10674214,15439824,21433869,27105322,20205105,268071636,14545851,15366164,15366165,18291320,12982923,12982922,18291318,24770130,32392582,24770201,24770202,255397969,10617082,10617081,7050333,7050332,10674200 Dl.O(d2) = 266056931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13320723, s2 = 11574370, dlinesl.size( ) = 44 s1 = 6590697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6590697, s2 = 13171728, int(edited[s2]) = 0 s1 = 6590697, s2 = 13171728, d1 = 9, d2 = 11 Dl.O(d1) = 256314959 Dl.O(d2) = 455709,804096,804027,455646,455645,804025,1413095,254316141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6590697, s2 = 13171728, dlinesl.size( ) = 2 s1 = 6590697, s2 = 13171728, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6590697, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 8255914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8255914, s2 = 14905506, int(edited[s2]) = 0 s1 = 8255914, s2 = 14905506, d1 = 41, d2 = 37 Dl.O(d1) = 254868878,9322417,6106647,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,2297375,1333015,761272,433053,433051,761263,1332994,2297344,3834597,6128921,6128981,3836738,2298559,2298560,3836742,6079739,3804224,3804227,3810461,6090134,9296925,6132721,3836798,2298590,2298589,2298615,1333717,761675,433310,433311,761677,1333721,2298622,3836851,254661427,13672231,19147662,25792844,23975793,17627686,12447899,8416156,8416157,12447901,17627689,19814168,14193044,14193045,19814170,26624654,34613630,33565177,29474847,29474848,22434514,22434513,25792675,19147494,16021118,16021119,19147628,13672207,13672208,14231450,14231451,19863893,21208657,19147706,19147707,16021428,16021427,21715444,29000687,255887824,16021170,11123844,11123845,16021193,22137936,29474559,29474375,22137777,19023025,19023026,25639827,22138231,16021389,16021388,22138229,19137200,19137201,25778212,29474265,25778798,25778797,33568768,31595514,31595513,40279734,46813670,36935400,28436415,28436416,25778875,25778874,33568879,25778873,25778872,33568876,42585759,268972150,33565962,33565714,25776154,19135865,255280443,9358077,9358079,13665214,19137591,268043345,6426624,4031984,2416338,2416339,4031987,6129543,6129542,9357730,13664777,19137100,19137652,19137653,25778750,25777731,255242864,9357607,6129467,6129465,6129717,6129715,9357944,6129856,6129855,9358225,13665364,19137766,25778372,25778376,19137337,13664997,13289065,9071928,9071929,13289068,18681879,254936879,9357961,13665088,19137450,25778522,33568472,42582877,42582876,42582875,34623296,30756672,30756675,33565811,33565812,33567853,33567752,25777754,25777753,25776262,19135761,19135760,25776257,25484233,25484232,25777476,25777475,33567431,42192926,33232867,25484206,25484207,33232873,25776213,25776214,33565774,29474594,29474595,35369780,256765141,30672834,25776567,19136690,14199361,14199360,19822581,26633969,19822536,19822537,26633971,33567346,33567347,42584463,42583883,42583882,43895053,53024427,42584287,42584288,258250345,61402424,73294273,60551051,49151627,49151626,39225030,39224976,39224974,31226288,31226284,39903034,49922699,61402441,72009715,59273910,59273909,64737794,52893743,42487310,33491161,33491162,33491666,33491667,42487256,33491116,33491117,42487237,42487236,52893668,42487574,42487575,42487287,42487285,42487554,39483609,39483608,49413403,52893439,42486983,33490924,25715567,25715566,33490917,42486967,52821881,64737759,77928999,72009735,59273939,47878502,47878490,47878491,59273918,52893989,52893988,64814847,78007697,64814245,64814246,73068959,86673995,78849625,78849626,92956446,91853462,78008008,78008009,78007629,78007630,255277394,53493737,43015486,33958621,33958622,42487217,42487216,52893642,64814560,64391813,52517903,52517904,64391814,64391872,255442824,47289337,37379915,37379916,47289339,58680467,67811115,67811113,67811251,55469648,55469179,44620092,44620093,55469181,67810881,269011440,55469460,55469459,44620477,35238039,27142053,20233965,14519477,9990699,9990700,14519479,20233969,27142061,29241704,27142068,255488772,44620496,55469671,67811269,81278618,81132584,67665838,67665839,81132585,77984940,64791339,257219923,33475216,25701982,19075756,13618587,9325189,9325187,13618583,19075751,25701972,268754101,52872448,258240336,50485554,40449239,40449241,50485559,61977806,61711733,55701669,44794177,35369545,27245588,27245586,35369537,44794155,55701639,52785180,52785179,64698982,77888104,64698979,64698980,77888106,86078464,72480727,72480726,60835133,49433215,39502037,39502036,49433213,60835129,73584750,73584680,60835062,258224757,85668496,86585425,77867792,64677789,64677790,77607854,64438979,52563701,42203542,33242321,33242320,42203538,52563693,64438968,65038426,64438960,64438959,77607836,64698994,64698993,59745844,48362468,38460842,29903862,29903861,38460838,48362460,52785289,42386110,33397276,33397275,42386105,42386130,42386129,49433208,60835099,49433184,49433185,49433145,39502003,30894659,30894660,39502007,49433154,60835042,60835168,64999091,60252712,60252713,269345798,64439356,53060310,52564065,42203790,42203791,38940378,38940379,48859922,52563615,42203494,42203495,52563619,52564135,42203846,42203845,42203574,42203575,52563754,59974446,64438904,64438654,52563413,42203899,33242540,25492438,18888022,13460162,9204778,6026345,6026346,9204781,13460170,18887970,13460133,9204758,254923459,18887973,25492341,33242387,42203643,42203622,257202733,41947767,41947765,52288379,258387333,64439664,52564403,42204032,256507255,23678372,17358163,12228287,8256189,8256188,12228283,13991570,9615779,9615778,13996966,19546976,26267468,28555260,21329839,21329837,28555256,23678347,17358140,12228272,8256182,5326234,3273805,267843439,8256170,12228251,17358104,15369993,10620231,10620230,15369990,21344881,255552413,17358094,23678281,28555274,28554804,21329436,15357550,10610070,7000931,4399914,2636676,2636677 Dl.O(d2) = 255397226,37056251,46934718,46934617,46934616,255826774,21330252,15357865,15357866,15357849,15357850,21330235,28555703,37054729,37055252,34576018,26588831,19783974,15356992,15356991,21329089,15356988,10609666,10609665,15356984,21329086,21330166,15357777,15357769,10610219,7001022,4399970,4399971,7001024,10610222,10610329,7001099,4400019,2636733,1522668,1522667,2636714,2636715,4399992,7001059,10610273,15357828,21330217,28555693,255826749,15357841,10610284,254730509,7001075,10610297,15357858,21330242,28555708,37054743,28554362,21329097,15356996,10609669,7000669,7000670,10609673,15357000,21329081,21329083,15357785,10610230,7001027,4399972,2636703,2636704,4399973,4400031,2636742,1522674,863279,487169,273921,273923,254120029,254224949,267882235,10610399,15357977,15357943,15357942,21330353,28555824,37056352,256316370,28554363,21330315,21330314,21330318,268070377,7001111,4400025,2636738,1522671,1522670,2636736,254498645,10610256,15357801,10610249,10610248,255397223,10610254,10610255,15357808,15357802,10610250,10610251,15356981,21329080,15357954,255030557,10610340,7001109,254730515,7001105,255030551,255826655,268070373,7001019,254730495,15357767,21330153,28555613,37056191,257172729,32793593,255642599,13178787,8983324,5864795,3661471,3661474,5864797,8983329,13178797,15357902,21330306,25094493,18547819,13178754,13178749,13178745,18547804,25094482,25094542,25094541,32793472,25094427,18547744,18547743,25094422,32793467,37056303,32793533,32793534,41709691,46934657,37056167,28555574,21330105,15357721,15357722,21330091,21330092,15357745,10610202,7001013,4399962,2636698,2636699,4399966,7001016,10610206,15357753,21330141,28555594,32793490,25094449,18547813,13178750,13178752,18547816,18594518,25151542,25094469,18547788,13178734,8983289,8983290,13178739,255245444,32793509,28555586,256107984,46934662,41709641,41709642,41779157,32858649,25151756,25151757,21330100,15357718,10610183,7001002,7001003,10610187,15357727,21330110,21330087,15357712,10610180,7001001,4399955,4399953,7000997,10610172,15357693,21330059,28555533,37056142,41709653,32793487,25094488,25094487,32793523,41709680,41709658,41709656,32793501,25094464,18547786,18547785,25094460,32793497,41709660,52020326,63835418,63911023,63911024,63835414,52020309,52020308,63835412,52092406,41779143,41779144,46934625,37056124,28555553,21330067,21330066,23781665,17451426,17451428,23781669,28555560,21330080,21330074,15357704,15357698,15357697,21330052,15357690,15357689,21330049,28555521,37056129,32793519,32793518,25317053,25317054,19546969,19546970,26267463,34133913,43221707,34633441,26642769,26642770,34633443,32822210,32822209,41743199,52057846,63876829,76987921,77608078,77608079,64439329,64439328,64438984,258408347,91537662,78272882,64999942,53025342,42585643,42585645,53025346,64999951,78272899,92299772,92299732,78272868,78272867,92299727,92299720,78272855,78272856,73307456,73307455,86917832,100898433,105476924,105476923,92300120,78273342,78273341,92299902,92299901,106597967,92299891,92299890,106597934,120846908,106597993,92299857,78273033,65000036,65000038,65000048,53025403,53025404,65000053,53025414,53025412,65000062,76453312,64999977,53025366,42585657,33568809,25778829,25778830,33568813,42585660,53025371,64999988,78272956,78272870,64999934,53025337,42585640,42585639,53025334,64999929,78272861,92299724,105760169,91537749,77607995,64439205,64439204,77607989,65000016,65000017,73296285,60553242,49153967,39227691,39227690,49153964,60553239,73296281,65000079,53025425,53025426,65000082,53025456,53025457,65000115,78273124,92299933,106598019,106598025,106597610,92299912,78273091,78273092,73296272,73296273,72333894,59598636,59598634,61532755,74310130,65000484,53025829,42586052,42586054,257091486,258283594,68099368,68099367,65038423,53055604,42607759,42607756,53055602,53025708,42585969,33569078,25779024,19137889,13665453,13665454,19137891,25779027,33569083,27245629,27245628,256103988,31634643,24127886,17764914,12571262,12571261,255584917,257091445,61834203,268516652,40428968,50466980,269126456,61834205,61834204,65000473,53025823,53025822,65000471,61834192,50350208,40323647,40323646,257674493,57660346,57660347,259246673,74626428,74626429,88256889,100901109,86920677,73310473,258283606,74626534,65000511,65000512,78273464,92300227,97734353,83875435,83875434,74626539,74626517,74626516,78273290,78273287,92300079,78273598,78273597,86920655,100901083,97734345,83875423,270271498,257385926,36463178,46316043,57660363,68099944,55702285,44794669,44794668,55702284,67606724,55264949,44417303,35042834,26962552,20078488,20078487,26962545,35042818,44417287,52020975,52020976,63836054,71325232,84898641,81075034,67606728,67606729,77928117,70314449,57623803,57623802,70314442,81038777,81589710,95623303,95623346,259246658,259246656,76938242,76938241,74627584,74627582,64766389,52846506,52846504,64766386,77961494,91886665,95097405,90814201,76938290,63830921,63830920,76938255,76938254,90814077,90814171,90814170,104991704,114579393,100548701,100548700,114579387,102256092,88257763,74627435,74627434,74627486,74627485,74627457,61835264,50351104,40324327,257091531,61835254,74627446,88257723,88257722,76938116,74627481,257674591,40324330,31635114,31635115,40324332,50351114,258283649,74627507,258250334,73183438,60436800,49032784,49032783,49032805,49032813,60436289,49032638,49032640,49032648,41705233,40324363,40324364,49032091,39102727,30506276,30506209,30506210,39102719,49032068,50351217,50351218,59306327,47912187,39103288,30506727,23091953,23091952,30506721,39103278,49032760,60436769,73183764,62626408,62626406,60436025,49031985,49031870,39102562,39102564,37996321,37996320,47912205,59306340,72041750,60436730,60436731,73183734,73183430,257586177,255960433,23091639,30506340,257005607,60436378,73183428,86795864,257602480,71138780,255975738,37152086,33381060,25615290,24809612,24809611,22687535,22687536,29679043,257522105,72272750,258833048,258833050,139867430,152577519,164433868,261793654,193137698,200308070,274267363,218851310,264795152,210201892,204941542,198594395,191103222,182398546,263398471,161239414,264101379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255914, s2 = 14905506, dlinesl.size( ) = 8 s1 = 8000757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13505483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 593596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7840053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 184752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 594494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9659905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9659905, s2 = 8682050, int(edited[s2]) = 0 s1 = 9659905, s2 = 8682050, d1 = 4, d2 = 7 Dl.O(d1) = 72620814,72620815,65397783,53394552,42928375,33882193,26058223,26058222,33882192,42928374,53394551,65397781,269134305,34093374,26231290,26231289,34093372,43177531,34278867,34278866,33229189,25480566,18878457,13453193,254445328,255263107,21353156,15376737,15376738,256318615 Dl.O(d2) = 46969136,256130344,71053045,84617279,257792018,139780432,152499702,164365775,164365776,260278040,164365773,271991550,261976714,170803349,170803350,180930561,189815962,197477217,197477219,204000152,264360394,217572975,220632947,222487741,219741474,273886606,186946599,177665254,177665253,186946596,186946601,262801153,142982660,260704665,101709484,87735128,74129047,61346816,257053537,31158485,23670390,23670389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9659905, s2 = 8682050, dlinesl.size( ) = 2 s1 = 9659905, s2 = 8682050, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9659905, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14162242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6459748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6459748, s2 = 11491332, int(edited[s2]) = 0 s1 = 6459748, s2 = 11491332, d1 = 24, d2 = 21 Dl.O(d1) = 254732708 Dl.O(d2) = 215449668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6459748, s2 = 11491332, dlinesl.size( ) = 14 s1 = 415854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 595546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8027156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9682056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7860948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14487941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14487941, s2 = 13287336, int(edited[s2]) = 0 s1 = 14487941, s2 = 13287336, d1 = 7, d2 = 7 Dl.O(d1) = 21440617,21440616,28691418,268383238,58491532,256862080,41055583,37216346,255033444,21440615,255400844,21392495,15407591,15407590,21392496,28631341,24660432,18201155 Dl.O(d2) = 21440617,21440616,28691418,268383238,58491532,256862080,41055583,37216346,255033444,21440615,255400844,21392495,15407591,15407590,21392496,28631341,24660432,18201155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14487941, s2 = 13287336, dlinesl.size( ) = 2 s1 = 14487941, s2 = 13287336, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14487941, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 596999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 596999, s2 = 14162365, int(edited[s2]) = 0 s1 = 596999, s2 = 14162365, d1 = 0, d2 = 6 Dl.O(d1) = 15409626 Dl.O(d2) = 152564791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 596999, s2 = 14162365, dlinesl.size( ) = 2 s1 = 596999, s2 = 14162365, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 596999, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 9700492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6506152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 418019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893924, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15217841, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7925593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1114606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 599387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 283975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14492470, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9551330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9551330, s2 = 15329327, int(edited[s2]) = 0 s1 = 9551330, s2 = 15329327, d1 = 30, d2 = 14 Dl.O(d1) = 268297902,257133553,51121593,62752725,258955831,103562918,117697966,131503995,144730146,157129332,168574468,162567074,150439080,137399723,123668665,271941472,95222794,81166396,67700684 Dl.O(d2) = 41607535,32704142,25020174,18489955,13136078,8952725,5843455,3646457,2179684,1263099,1263101,2093830,1252614,1252618,1224761,692506,692508,1222312,1224827,2082921,1197505,674267,375121,205676,205679,375139,674316,1197630,1197758,1197762,2083354,2090909,2090912,1202660,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082385,2082639,1197349,1197346,2082655,2915063,4837499,7646154,11495749,8952723,5843453,5843452,8952722,13136076,18489954,13317466,9098021,5952544,5952543,9098016,255251169,23858120,31351616,40031842,50051923,61531230,257806901,42402886,33413757,33413756,256142867,255273331,9300380,6092321,6092322,9300381,10367621,15040236,15852420,10986732,7272617,4586386,2759269,2759267,4586381,7272605,10986718,15852401,21940709,29262141,256911197,59148383,57690554,46342782,36486008,28023817,20856567,14955325,14955326,20856568,28023819,36486009,46342784,46342787,46342788,57690557,46342789,36486012,36486011,46342788,57690556,46342786,46342780,46342781,57690553,255326078,55235601,44385757,35008265,26926560,22092035,22092036,26933519,20047219,14361329,9868159,9868158,14361327,20040967,254807818,254970395,20040966,26926388,35008131,44385696,55235562,67577873,256739422,95102953,257904526,137280449,150322166,162457733,173497956,163300296,151421931,261043063,111604070,97685789,83828285,70303336,57612850,46268382,36415701,27957592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9551330, s2 = 15329327, dlinesl.size( ) = 2 s1 = 9551330, s2 = 15329327, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9551330, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 600366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 600544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7927930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7927930, s2 = 6749652, int(edited[s2]) = 0 s1 = 7927930, s2 = 6749652, d1 = 1, d2 = 12 Dl.O(d1) = 256355374 Dl.O(d2) = 21590912,21590913,28865404,24712639,22335013,22335014,26932707,20046537,14360858,14360856,18589682,21822747,29129692,29494813,31503639,24712392,24712393,20044413,14359493,9867009,9867010,14359499,20044388,20044389,20223086,17432459,17432458,17432452,17432453,23760019,22642769,22642770,21786659,21786660,25146301,25146302,29075561,33756258,25948458,22642835,16452952,16452953,15722732,15722731,21781786,17542725,13210505,13210506,13210342,13210344,18589739,16790075,11739796,11739798,15756118,15756116,19224433,21823827,16408845,11425104,10913371,10912378,10912380,15756956,21824138,17197130,17197128,20044741,20044743,21783428,21783429,29081268,29130349,21823340,21823342,15756446,15755772,10911657,7216590,7216591,10911664,10887936,7199884,7199886,10886678,254229630,6918567,254341224,21167522,26899982,26899983,28835353,25475873,25475872,33223903,40335100,39013935,30425112,23020275,16779912,11732498,11732499,16779915,12113030,12113031,15210355,15210354,15210238,10492056,10492055,10492153,15210439,21167224,15209923,15209922,21167219,24882790,257484332,33338181,256020130,15471986,21474520,24261014,17883453,17883454,15460333,12377596,8364072,5398451,3319462,3319461,5398439,8364051,258061704,11461460,268953829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7927930, s2 = 6749652, dlinesl.size( ) = 2 s1 = 7927930, s2 = 6749652, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7927930, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3487254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3487254, s2 = 2947793, int(edited[s2]) = 0 s1 = 3487254, s2 = 2947793, d1 = 41, d2 = 144 Dl.O(d1) = 115235571,258265802,15154407,15154408,21097428,15472440 Dl.O(d2) = 74321302,87924314 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13291641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6491352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7925989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8037208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9706228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1119604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 602890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 602890, s2 = 11097371, int(edited[s2]) = 0 s1 = 602890, s2 = 11097371, d1 = 9, d2 = 21 Dl.O(d1) = 15515591 Dl.O(d2) = 76299226,63277410,51558911,256600961,32488274,32488273,32833552,32833551,41754341,32833507,25128615,18576139,13201170,8999470,5875473,3668571,2195975,254152962,5875472,8999469,13201167,18576136,25128612,32833502,26964262,20079863,255742665,35044538,39927759,49945323,61423192,61423191,74201808,258222970,115824020,115248988,260685024,142554542,261260048,166888748,177433081,186745244,194854948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 602890, s2 = 11097371, dlinesl.size( ) = 2 s1 = 602890, s2 = 11097371, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 602890, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 6497855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9068453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7915198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13216605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13216605, s2 = 6652527, int(edited[s2]) = 0 s1 = 13216605, s2 = 6652527, d1 = 11, d2 = 5 Dl.O(d1) = 885147,1556968,2687947,4474118,7106487,10756433 Dl.O(d2) = 256969678,74514231,61732604,257580982,31548879,255956240,8477665,5479930,3372102,1984217,1984214,3372093,5479910,8477627,12513802,17692719,12513706,12513705,15581113,255580273,28763385,21503572,15701276,15701275,12513769,12513770,10869351,7186508,4527499,2721576,1577071,1577072,896642,896641,1577079,2721584,4527519,7186546,10869430,15701452,15953488,15953487,22057478,28886131,21755815,15701509,15701508,21755813,29049730,29632259,24044989,17692654,12513911,8477697,5479942,5479943,8477619,8477618,12513790,15701170,17692831,23805031,17471766,12317952,12317953,17471772,23805043,256353483,31549017,31549018,37596782,29048985,21755305,15701190,10869285,7186475,7186474,255424943,29048976,37596765,255533218,31548800,31548969,31548968,40234622,31548698,24045196,17692821,17692820,20880875,28049325,28049272,255362741,14978623,20880843,21755353,15701255,15701256,15701195,15701194,21755313,28049288,28049287,29049579,29049578,29049023,268622085,29049011,29632255,28049246,28049247,36513478,40234917,31548965,24045393,17692963,17692964,24045396,31548970,36610020,36610021,29049033,29049034,37596822,40234619,40234620,50254011,269878585,41666592,41666594,51974428,49029704,39100694,39100695,31548946,24045383,24045382,31548944,40234897,256811114,40244142,31558034,31558035,39020545,39020546,40244102,39774907,39774903,40408957,50443022,258277797,61742002,74523939,61933702,50443061,50443060,50263741,50263740,50263750,61742157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13216605, s2 = 6652527, dlinesl.size( ) = 2 s1 = 13216605, s2 = 6652527, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13216605, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 9486670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9186788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 604719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1298988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6512016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6444760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 423866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 839711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 606275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 425424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 425424, s2 = 11232368, int(edited[s2]) = 0 s1 = 425424, s2 = 11232368, d1 = 0, d2 = 77 Dl.O(d1) = 10814005 Dl.O(d2) = 74525682,70329321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 425424, s2 = 11232368, dlinesl.size( ) = 34 s1 = 425910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 609380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13271429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8102828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 610047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 610047, s2 = 747606, int(edited[s2]) = 0 s1 = 610047, s2 = 747606, d1 = 2, d2 = 151 Dl.O(d1) = 15672639 Dl.O(d2) = 19026896,19026895,25644224 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7907348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1132812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 611033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13372767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7571068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7571068, s2 = 6515143, int(edited[s2]) = 0 s1 = 7571068, s2 = 6515143, d1 = 21, d2 = 7 Dl.O(d1) = 268214881,10889217,10889218 Dl.O(d2) = 255450463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7571068, s2 = 6515143, dlinesl.size( ) = 14 s1 = 6512495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 639750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 639750, s2 = 13199628, int(edited[s2]) = 0 s1 = 639750, s2 = 13199628, d1 = 70, d2 = 84 Dl.O(d1) = 16373556,20058039,15731835,10895471,7206011,7206012,6478907,4060009,4060008,6478899,6503225,4075086,2438269,1409813,802008,454414,256100,141819,77718 Dl.O(d2) = 4070218,2435556,1408510,801372,801371,1408506,2435547,4070196,6495547,9885980,14380177,14379959,9885794,9885795,10894855,7205474,7205473,10894853,15731372,11565115,11565116,16584893,22802063,29906398,29906399,22802146,16585011,11565220,7697698,7697700,11565222,10814233,7146607,4500131,2704024,2704025,4077043,4077044,6506147,9899318,14393017,14370070,10880463,10880464,11567475,7699311,4872905,2936364,2936365,4500090,7146535,10814149,15627737,14368238,14368237,20040177,14355640,9863845,6479406,6479407,7202243,7202241,255054631,14367890,9874026,6503384,4075193,2942166,2942168,4882700,4075841,254470459,9873933,6486489,4064499,2432343,1406860,1406859,1579297,2725630,4534280,7197141,10884606,11565320,10893884,7204616,7204615,7203052,4538076,2727731,2727732,4538078,7203056,9894803,9894804,14389012,14337288,10882779,7200928,7200929,10889193,10891862,10891861,10947033,7833225,4972341,4972342,7833228,11732105,7832784,4972033,4972032,7832781,11732100,14370235,14370234,14369335,9875256,6549383,6503361,6503364,9866148,14358511,14390071,20073019,21662137,15626183,10884602,10884601,7197136,7197135,10884598,10884599,15721193,15728430,16779993,255861907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 639750, s2 = 13199628, dlinesl.size( ) = 2 s1 = 639750, s2 = 13199628, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 639750, Dl.E( ) = 100, 3.1e-05 seconds used appending s1 = 7832344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 612613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 613538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 613538, s2 = 1080738, int(edited[s2]) = 0 s1 = 613538, s2 = 1080738, d1 = 0, d2 = 6 Dl.O(d1) = 15770367 Dl.O(d2) = 28068484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 613538, s2 = 1080738, dlinesl.size( ) = 2 s1 = 613538, s2 = 1080738, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 613538, Dl.E( ) = 32, 8.82e-06 seconds used appending s1 = 1300612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 430206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7945538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7945538, s2 = 10998224, int(edited[s2]) = 0 s1 = 7945538, s2 = 10998224, d1 = 47, d2 = 13 Dl.O(d1) = 268738284,43064494,255249040,19464626,13929940,9561247,9561248,7659489,4846222,2920293,2920294,4846225,7659495,10792007,15600219,16493178,13930210,13930209,11540678,7677826,4858197,4858194,6840926,10381045,15055253,15599640,15599638,21630704,25639501,29833489,28069376,255360534,269528217,33662132,33662133,32096593,24521384,24521385,24048835,17695652,12515864,12515862,17695646,16825288,16825290,23077163,25316458,24567804,18127547,18127548,22888458,22888459,30286236,35373056,35373055,44797830,46868420,44798554,44409105,35034591,26954576,255326449,14386628,15717552,21661044,15624809,15624811,20056644,14371516,11749811,7845013,4979794,4979795,7145395,254338703,254161075,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439070,2439069,4076436,6505237,4076976,2439371,2439372,4067841,268173869,19453595,13921391,254671533,254308545,775960,440521,248359,137168,137167,248358,440520,775958,1361427,2350107,3925581,6269759,255297617,13680227,9368270,6136366,3839087,3839088,6136368,258889127,31419848,31419847,27222826,20294438,20294437,21617255,20947994,15039391,10366864,6829515,6829513,10366855,15039374,19464160,23017347,23017346,254640670,26164661,19464181,268062866,15593419,10787240,7127286,4487161,4487162,4487156,4487155,7127277,7127334,4487183,2695852,1561760,887897,500976,280950,280949,500972,887893,1561755,2695816,2695813,4487099,7127170,10787040,11454847,11454848,16440685,22626460,29995001,28158871,28158870,24150678,24150679,255648584,19258866,15589509,256340519,38821247,30237959,254871524,38289881,38076662,31113286,23626765,17310912,17310910,254777176,22121531,22121532,28182933,21000042,15084328,15084329,21000044,28182938,36659516,36659485,29454905,22120770,22120771,17087006,11999591,8052690,8052691,11999593,17087010,23354817,30779037,29454833,22120635,22120634,22120871,16007083,254409332,22120939,16007165,267846480,10404287,10404288,15084312,11112988,7370487,7370486,11112985,16007173,21000528,21000527,16941434,16941437,23213070,28183238,21000362,21000363,16007898,11113607,10404285,10404286,15084310,21000014,28182901,36659483,38017443,46527332,57883067,46527025,36659472,28182896,22121623,22121624,29455646,29455638,29455637,268939263,29776653,29776651,38348552,48259372,59646599,58293017,46927299,37049234,37049235,31639869,24132786,24132785,31639867,36920760,36920761,46798571,38790230,30206524,22814818,22814817,30206522,30206525,30206687,22814977,16596405,254815886,7704450,11574843,11246082,7464974,4717378,2841933,1648563,937332,528194,528195,937338,1648571,2841943,4717396,7465008,11246137,7704273,4875933,4875932,4663102,2809328,1629737,1629738,2809331,4663108,7241673,4565550,2745792,2745791,4565545,7241664 Dl.O(d2) = 55348894,256526584,91235819,77316410,64168193,64168192,256526584,77316409,64168193,255686602,33187063,28754519,28754520,25306225,25306224,33032767,41029531,32237054,32237053,41029529,257069560,254850836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7945538, s2 = 10998224, dlinesl.size( ) = 26 s1 = 430808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6461342, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7905938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7579085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7843543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7955264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 433084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 433084, s2 = 16183766, int(edited[s2]) = 0 s1 = 433084, s2 = 16183766, d1 = 0, d2 = 70 Dl.O(d1) = 10988788 Dl.O(d2) = 152893295,140202250,126854790,113001907,99013122,85087617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 433084, s2 = 16183766, dlinesl.size( ) = 8 s1 = 9671771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8127685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8127685, s2 = 11305016, int(edited[s2]) = 0 s1 = 8127685, s2 = 11305016, d1 = 20, d2 = 13 Dl.O(d1) = 7585370,4810870,254539113,11436634,16420522,255922821,37848575,255684656,15864234,21955963,29280796 Dl.O(d2) = 259061941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8127685, s2 = 11305016, dlinesl.size( ) = 2 s1 = 8127685, s2 = 11305016, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8127685, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 10171538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10152428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14492967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14492967, s2 = 10346186, int(edited[s2]) = 0 s1 = 14492967, s2 = 10346186, d1 = 7, d2 = 7 Dl.O(d1) = 9903819,14398456,20081824,26966745,30830703,37877259,37871030,254517968,15880032,256915043,59196236,269400580,48836433,38915597 Dl.O(d2) = 9903819,14398456,20081824,26966745,30830703,37877259,37871030,254517968,15880032,256915043,59196236,269400580,48836433,38915597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14492967, s2 = 10346186, dlinesl.size( ) = 2 s1 = 14492967, s2 = 10346186, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14492967, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10346187, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13168711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 449753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8156388, s2 = 478927, int(edited[s2]) = 0 s1 = 8156388, s2 = 478927, d1 = 12, d2 = 14 Dl.O(d1) = 258386757,47820228,256113276,15899921,21999420,29329811,256888079 Dl.O(d2) = 15649761,15649762,21689152,17301835,12179856,12179855,255998417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8156388, s2 = 478927, dlinesl.size( ) = 2 s1 = 8156388, s2 = 478927, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8156388, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 147963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6514693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6514693, s2 = 8119649, int(edited[s2]) = 0 s1 = 6514693, s2 = 8119649, d1 = 94, d2 = 141 Dl.O(d1) = 255444767 Dl.O(d2) = 46793131,36915393,28417634,255386517 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16186151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16186151, s2 = 622221, int(edited[s2]) = 0 s1 = 16186151, s2 = 622221, d1 = 25, d2 = 7 Dl.O(d1) = 218847209 Dl.O(d2) = 15953256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16186151, s2 = 622221, dlinesl.size( ) = 54 s1 = 882799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6514976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6514976, s2 = 14245913, int(edited[s2]) = 0 s1 = 6514976, s2 = 14245913, d1 = 89, d2 = 28 Dl.O(d1) = 19442616,26138825,33977757,43034686,47888656,37970387,29406601,255448307,15970377,19870148,18844834,13426545,9179913,6008401,3757921,3757920,4643398,2796994,2796993,4643396,7351139,255073743,22075997,29406602,37970388,256568894 Dl.O(d2) = 44807801,35383164,255465492,27257789,20323881,20323882,27257791,35383072,30881650,23450351,17173864,12075184,8119908,8119909,12075186,17173867,23450355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6514976, s2 = 14245913, dlinesl.size( ) = 24 s1 = 623728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9073094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6552532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10196611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 625503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 625503, s2 = 13392539, int(edited[s2]) = 0 s1 = 625503, s2 = 13392539, d1 = 0, d2 = 0 Dl.O(d1) = 16031893,11131696,7383731,4664825,2810385,2810384,4664824,7383730,11131695,16031892,256926971 Dl.O(d2) = 16031893,11131696,7383731,4664825,2810385,2810384,4664824,7383730,11131695,16031892,256926971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 625503, s2 = 13392539, dlinesl.size( ) = 2 s1 = 625503, s2 = 13392539, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 625503, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13199627, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1122502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 438989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8067425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8067425, s2 = 626685, int(edited[s2]) = 0 s1 = 8067425, s2 = 626685, d1 = 1, d2 = 1 Dl.O(d1) = 22587235,16404662,255480431,16404667,22587243,29950924,38515404,48422680,256947404,37168526,28651365,21408734,15420491,10659934,10659935,9165119,9165118,9165053,9165052,9165098,13405428,10659913,7039603,4429702,2658818,2658819,4429707,7039610,10659924,13167757,13167756,18126174,12853023,8740431,5690200,3539828,3539827,5690195,8740423,12853013,18126155,15992076,11101712,8740521,7473073,4722840,2845538,1650899,1650900,2845540,4722842,7473077,268086167,22342958,29696589,38262421,257435138,16059949,16059950,22187169,29529656,38093442,48004956,59393358,256747460,37075393,28572296,21344251,21344250 Dl.O(d2) = 22587235,16404662,255480431,16404667,22587243,29950924,38515404,48422680,256947404,37168526,28651365,21408734,15420491,10659934,10659935,9165119,9165118,9165053,9165052,9165098,13405428,10659913,7039603,4429702,2658818,2658819,4429707,7039610,10659924,13167757,13167756,18126174,12853023,8740431,5690200,3539828,3539827,5690195,8740423,12853013,18126155,15992076,11101712,8740521,7473073,4722840,2845538,1650899,1650900,2845540,4722842,7473077,268086167,22342958,29696589,38262421,257435138,16059949,16059950,22187169,29529656,38093442,48004956,59393358,256747460,37075393,28572296,21344251,21344250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8067425, s2 = 626685, dlinesl.size( ) = 2 s1 = 8067425, s2 = 626685, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8067425, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 627092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 627096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9365521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9352648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 627649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 627649, s2 = 14488449, int(edited[s2]) = 0 s1 = 627649, s2 = 14488449, d1 = 7, d2 = 7 Dl.O(d1) = 16081638,16081639,16081637,16081636,22212991,22212989,16081633,11168258,7409286,4681691,2820792,1636512,930575,524496,293907,293908,524499,930581,1636523,2820811,4681721,7409326,4885415,4885416,7718548,11594877,16622507,22213086,28182859,30239055,25549073,18936586,18936585,25549066,20999996,15084295,15084294,20999991,26654842,26654861,19841130,19841128,26654851,34167698,34167701,33268507,25507869,25507867,33268503,38052414,38052415,47965686,47819029,255131580 Dl.O(d2) = 16081638,16081639,16081637,16081636,22212991,22212989,16081633,11168258,7409286,4681691,2820792,1636512,930575,524496,293907,293908,524499,930581,1636523,2820811,4681721,7409326,4885415,4885416,7718548,11594877,16622507,22213086,28182859,30239055,25549073,18936586,18936585,25549066,20999996,15084295,15084294,20999991,26654842,26654861,19841130,19841128,26654851,34167698,34167701,33268507,25507869,25507867,33268503,38052414,38052415,47965686,47819029,255131580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 627649, s2 = 14488449, dlinesl.size( ) = 2 s1 = 627649, s2 = 14488449, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 627649, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6613354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7930046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8052308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 843832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8076321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 442458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 442458, s2 = 13649206, int(edited[s2]) = 0 s1 = 442458, s2 = 13649206, d1 = 12, d2 = 11 Dl.O(d1) = 11223173,11223253,11223254,16154315 Dl.O(d2) = 141024054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 442458, s2 = 13649206, dlinesl.size( ) = 2 s1 = 442458, s2 = 13649206, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 442458, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 10155098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155098, s2 = 4811728, int(edited[s2]) = 0 s1 = 10155098, s2 = 4811728, d1 = 41, d2 = 57 Dl.O(d1) = 129132643 Dl.O(d2) = 197216827 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7804598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7947422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 452734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 452734, s2 = 301117, int(edited[s2]) = 0 s1 = 452734, s2 = 301117, d1 = 16, d2 = 0 Dl.O(d1) = 11478739,16474745,20227617,14515029,11478691,11478692,13425275,18843316,25439654,254774388,29728800,22372074,16217163,16217162,16259378,16259377,19805537,254554900,16283266,16283264,22452461,28032883,22321717,16176390,16176389,22321716,16773840,11727381,11727380,255510897,255087721,7465495,4717728,2842148,1648696,937412,528234,528233,937409,1648690,2842137,4717710,7465471,6007770,6007768 Dl.O(d2) = 152352,152301,152298,275552,490379,869580,1532716,2650833,4419015,254730819,10631708,7017912,7017913,10631711,15384495,21363399,22325982,29677075,33184853,31361139,23866961,17522798,12357363,8349208,8349209,12357364,11243631,11243630,15347584,15363896,10615142,7004952,4403070,2639087,2639088,4403073,7004955,10615148,15363906,254550120,7483677,7483678,11273554,11273559,7483682,7256068,7256067,255434509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 452734, s2 = 301117, dlinesl.size( ) = 2 s1 = 452734, s2 = 301117, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 452734, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 6459490, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13249683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8260312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8260312, s2 = 15988648, int(edited[s2]) = 0 s1 = 8260312, s2 = 15988648, d1 = 65, d2 = 83 Dl.O(d1) = 255015363,6883370,6883369,10441371,15139053,21075988,17624269,254860239,254407051,1969603,1969604,3350094,5449601,8439985,7467154,7467155,11248948,16183130,17903155,12682877,9137708,268023195 Dl.O(d2) = 7994334,6588395,4127671,4127670,6588389,9167938,7982634,5080519,5080520,7982637,7941091,5050329,5050331,5164380,5164379,7942906,7936142,5046576,5046577,7936147,11872608,11875707,7938753,7938752,7956419,7956418,11897809,11212136,7940289,5049913,3059685,1783717,1783715,3059677,5049899,7940264,7978947,7954711,7954712,7949983,7949981,11890201,11971647,11917524,7972302,7972301,5093020,3090889,3090890,5093029,7942720,7942719,11029812,11029813,7981593,7981594,8070276,7942853,5051339,5051338,254103726,5870689,5870690,267836597,1779656,1779657,3054327,254562031,11869115,10878655,10878654,15715191,21774376,25111455,18561758,13190054,8991633,7439874,7439875,7439942,4701093,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,7973221,11918519,11910707,7967158,7967157,10024339,6588335,6588336,10024340,7955188,7955189,11896381,15667220,11895137,7954106,7954105,8092787,7982515,5085039,3084696,3084698,5068461,7966505,11909948,11917100,13190179,8991751,8991750,13190178,18561853,23227439,16954329,12154414,8184891,5254437,5254439,8184900,12154432,11681266,7996526,7996525,7789460,4938786,4938783,7789449,7986783,5083088,3082962,1799152,1799151,3082956,5083075,267838302,7529305,7529306,11331707,12355751,12154865,8185254,8185252,12154862,9940198,7783520,7783521,5391163,3315119,3315120,5391165,8352563,7972598,7972599,8353280,12360078,8351247,8351248,12360080,17526087,17526085,17526084,23870521,31365008,40045238,258262043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8260312, s2 = 15988648, dlinesl.size( ) = 2 s1 = 8260312, s2 = 15988648, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8260312, Dl.E( ) = 84, 3.1e-05 seconds used appending s1 = 632108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6554101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6554101, s2 = 301367, int(edited[s2]) = 0 s1 = 6554101, s2 = 301367, d1 = 10, d2 = 13 Dl.O(d1) = 255904859,16191246 Dl.O(d2) = 7471578,4721764,4721765,7471581,254408164,11260434,256402207,48178665,59565040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6554101, s2 = 301367, dlinesl.size( ) = 14 s1 = 9133600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1166215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7976349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14186958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1499455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6446406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 633937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 633937, s2 = 4882391, int(edited[s2]) = 0 s1 = 633937, s2 = 4882391, d1 = 4, d2 = 52 Dl.O(d1) = 16222426 Dl.O(d2) = 201026556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 633937, s2 = 4882391, dlinesl.size( ) = 62 s1 = 11657516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 635027, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7940887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8012852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8012852, s2 = 7907330, int(edited[s2]) = 0 s1 = 8012852, s2 = 7907330, d1 = 12, d2 = 11 Dl.O(d1) = 255999481,17312274 Dl.O(d2) = 256489366,11514809,268092151,255202544,14933887,14933886,14933391,10786611,7126925,4486967,4486966,2695769,1561725,1561729,2695781,4487031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8012852, s2 = 7907330, dlinesl.size( ) = 14 s1 = 635545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7894602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10164719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10156409, s2 = 13209882, int(edited[s2]) = 0 s1 = 10156409, s2 = 13209882, d1 = 37, d2 = 31 Dl.O(d1) = 8540854,12588838,17786484,24153666,27041474,30237421,30237420,31580425,24074856,17787377,17787376,24154560,18861962,14453202,9943685,6535511,4094889,4094888,6535507,9943680,9943809,9943810,14453401,16613108,20148252,14453231,14453232,20148256,14453441,14453442,20148470,24188062,17819599,12616541,8564047,8564048,12616547,17819606,24188071,23041785,23041786,30449297,27043373,24131726,24094207,24094206,22833473,20150626,14455095,12549394,12549395,17736530,16470355,16470356,22665279,30040555,31576808,24071056,17714818,12531485,8492540,5493242,5493243,8492546,12531473,12624067,8570169,8570170,9718560,9718559,14126228,15062945,11581696,10387525,10387524,12540055,8501071,8501072,12540071,16470727,11475959,7632928,7632926,6869466,6869467,10420364,7708775,4878663,4878664,7708680,11581327,7708852,6536261,4095259,2449999,1416506,805866,805870,1416499,2449978,3736259,3736258,5974347,5974408,3736283,3736282,5974399,9129472,13358424,18759766,14129555,14129554,17725437,17725428,17725147,17725150,17794480,12595352,8546489,8546491,11474930,11474931,16469196,22663989,16470061,14456233,9945537,9945536,7632694,7632695,9945406,9945405,14456007,17763956,21034110,15107927,10420357,6869459,6869458,10420349,15107916,16605833,11581479,11581477,16605825,22826775,27044999,25370812,18786599,13380889,9146273,9146272,13380883,18786592,25339631,25339632,28231211,36724908,40273578,31586785,24081189,17724014,12539639,12539638,17724012,24081186,31586779,35128811,31717116,24209459,24209458 Dl.O(d2) = 36945075,46822959,38388749,29815873,23344248,19775983,14164900,9738271,6403754,6403755,9738279,14164913,16256243,16256235,16256237,22421750,26578781,34565416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10156409, s2 = 13209882, dlinesl.size( ) = 2 s1 = 10156409, s2 = 13209882, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10156409, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 6506055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6506055, s2 = 3144030, int(edited[s2]) = 0 s1 = 6506055, s2 = 3144030, d1 = 50, d2 = 76 Dl.O(d1) = 255339142 Dl.O(d2) = 24166507,17798839,12599283,12599284,17798841,14129013,14129011,12680347,9719014,9719013,8550171,8550170,12599213,9719600,6393972,4012499,2404708,2404709,4012504,6393986,7107304,7107302,10757504,11661797,11661794,12299684,17448698,20150111,22313456,16167928,14332430,14332431,20012241,24067750,24152061,24152062,18578334,13202754,13202755,18578338,14332587,14332585,12529346,8490669,5491458,5491459,8490674,8987011,8987013,8550234,5548818,3434415,2031538,2031537,3434428,5548844,8550297,12599432,17799049,22844268,16621108,13009344,8856999,5772730,254632529,13009354,18326837,22218908,29564644,29665384,31183821,29663395,254504868,24141892,31648108,34572878,31283248,28267665,21064922,15130941,15130943,21064926,15738150,10899811,10899812,15738155,15739523,10900675,10900676,15739527,21799313,254842272,21795397,28267780,21797877,15738310,15738309,21797871,15738307,15738308,21797872,29095395,37644617,47550213,58932303,71654063,85219800,99142442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6506055, s2 = 3144030, dlinesl.size( ) = 14 s1 = 6515142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6515142, s2 = 861953, int(edited[s2]) = 0 s1 = 6515142, s2 = 861953, d1 = 12, d2 = 8 Dl.O(d1) = 255450462,11383259,7562767,7562766,11383258,16357188,22529781,29884304,22529783,22529784,29884308,255426304,21780528,15721617,10885072,10885071,7216655,7216652,7216643,7216644,10911770,10885955,10885953,15722595,16568159,11549398,7683887,7683886,9893690,9416577,6169767,3860596,3860594,6169764,9416570,13743956,15723282,10886639,10886642,15723286,11739541,7838033,4975493,4975494,7838035,11739542,16789591,23032747,254229640,16789747,11739626,11739625,12714632,267886040,20066302,14382227,14382230,14382209,14382145,9887735,9887734,14382140,15724575,21783538,26900093,20017839,14336857,9848996,9848995,11133963,11133961,16035303,22156105,29495102,38058360,35039563,35013665,26932003,20045923,20045924,14973032,254978148,10305300,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040672,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,20074720,20056975,20056977,255326126,255054266,14360351,9867490,6481976,6481977,9867492,14360353,20045930,26923425,20038215,255054202,254610968,9887735,9887734,14382140,15724575,21783538,26900093,20017839,14336857,9848996,9848995,11133963,11133964,16035306,22156112,16625784,16625785,20019293,14338279,9850319,6470038,6470037,9850310,14338263,14338148,9850252,6470017,6470018,9850272,14338180,20019189,26901597,28941142,37303185,34981445,26901824,26901827,34981453,31352160,31352161,35007410,26925582,20040312,20040311,26925578,35007401,40102349,31422229,23931778,23931776,31422225,28862072,21588017,21588015,20051017,20051018,20044545,14359571,9867054,6481768,4061724,4061725,6481774,9867060,14359582,20044576,20070406,20068000,14384195,14384196,20067991,17176853,12077304,12077302,17176846,17558631,17558632,23903008,26938219,20072631,20040297,14355775,14355776,20040305,21824720,20040489,14355896,9864017,6479507,4060332,2430150,2430149,4060326,6479491,6479571,9864143,10305240,10305238,6777047,6777048,10305269,10913450,7217564,4547529,254512213,10913441,15758641,17128305,17128303,23400462,267946964,28757348,34086640,26225595 Dl.O(d2) = 22094952,22094951,268214880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6515142, s2 = 861953, dlinesl.size( ) = 2 s1 = 6515142, s2 = 861953, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6515142, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 639005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10142341, s2 = 303394, int(edited[s2]) = 0 s1 = 10142341, s2 = 303394, d1 = 11, d2 = 13 Dl.O(d1) = 61646144,74428072,258748670,99756771,85802638,85802639,99756773,92401389,78365835,65083869,65083868,78365832,92401386,89926763,85804372,256886600,59472376,72210090,85802079,85802078,99756128,113770282,111806140,97873702,84004945,84004947,97873688,258187478,91676746,256454974,58712789,47323899,47323898,52486232,64356500,77521744,85016714,71444023,71444024,64356502,52486237,52486238,256454982,58712819,47323915,47323914,51743831,41475084,32598056,24935980,18423944,13086619,8917812,5819588,3630266,2168180,1254846,713702,713701,1254844,2168177,3630259,5819579 Dl.O(d2) = 11385691,13780594,9448375,9448374,13780593,12536048,8497734,8497735,5621463,3492401,2074673,2074672,3492396,5621452,8643321,9448611,9448610,13781007,19278487,25941818,20264558,14539446,14539445,13781112,13781111,19278635,20265176,14539895,10003834,6574123,6574122,10003832,14539891,11319602,7516185,7516184,11319600,16278718,22448446,28634336,21395052,17950788,12720424,8643299,8643300,12720428,13781283,19278859,21977656,29305252,22448420,18332877,13013935,10936076,10936073,11319590,7516179,7516180,4754318,4754316,7519988,11323657,16282363,22451550,24173606,24173605,22451548,22451547,29819101,29819106,29819105,38391597,48301929,59688573,59688572,49049189,49049188,46679547,255516556,24201034,17831806,12626586,12626587,17831808,22294829,16149788,16149787,16150256,11220179,7444754,7444753,7445507,11220731,9738769,9738771,14165720,19777066,26580047,22297490,16152327,11221770,11221769,16152323,18554131,22293063,16148429,16148428,16150800,11220551,7444998,4704160,254528625,11221063,16151420,12306427,12306428,17456800,19365556,22296988,22626565,255474476,11218761,11218763,16148171,22292775,16152680,16152681,22297798,29038131,29038074,29038073,37585669,29644524,29038042,21745855,15694322,10864707,7183392,4525513,4525512,7183388,5363526,3297242,3297243,5363529,8312257,8312258,12306414,255095210,28663419,21417858,15427569,10665239,10665240,15427572,21417865,28663431,37184205,39410995,30805986,30805987,39410997,37585749,37585747,38248704,38248705,254239506,16931181,11849861,7920016,7920015,11849855,16931171,23200456,28225240,21029282,21029280,28225233,36718554,29641245,23475437,17193482,17193483,23475438,29888119,30607779,255095104,268087904,48129370,48129369,59516698,55626097,48301437,38391067,38391066,38215208,30911488,23475428,20265376,14540066,10003938,10003937,14540060,20265364,27189259,35308752,44728037,42780496,33749639,33749638,29641179,29038330,24250510,22469529,16300850,16300849,22469526,22469562,22469559,22469556,29836796,23188567,16922013,11842849,11842853,16922026,23188591,19278223,13780828,13780829,19278226,25941493,29134169,21827044,15759195,15759192,21827039,27188966,254342062,27094575,35183353,29816757,29816756,29888445,22534307,16360791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 13312251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13287335, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14582740, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 640597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 640597, s2 = 14020097, int(edited[s2]) = 0 s1 = 640597, s2 = 14020097, d1 = 14, d2 = 17 Dl.O(d1) = 16391688 Dl.O(d2) = 538129,301686,167056,91966,50747,50748,85002,85003,254070762,500452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 640597, s2 = 14020097, dlinesl.size( ) = 24 s1 = 8097928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 450797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7926158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8121392, s2 = 11098285, int(edited[s2]) = 0 s1 = 8121392, s2 = 11098285, d1 = 76, d2 = 79 Dl.O(d1) = 17890675,17890676,15344883,12573559,8527590,5526097,3412469,3412470,4394627,4394629,6992846,6992867,4394646,2633438,2633437,4394640,6992864,10599374,15345023,10654623,9470656,9470657,13809804,19312779,21315770,21315769,21349121,21349120,24638246,24638244,21586659,15561557,10763630,10763629,15379148,15373254,10622841,7010880,4407602,4407603,7010887,10622857,7010905,4407612,2642436,1526775,1526776,2642440,4407619,7010916,10622915,15373360,21349123,21349124,21349149,21349150,268447185,40328359,31638708,31638709,40328360,37037775,28539277,24131219,256037385,24131497,17768019,12573823,12573822,17768016,24130910,17767598,13370534,9138205,9138207,13370540,18774662,256120753,40149223,257055864,58280692,46963484,37082517,37082519,31638046,31638047,40327631,48890836,38970765,38970767,42037632,42037633,38566604,38566605,31638052,31638053,38566594,38566589,38566588,44730361,50174796,49891487,48490577,38577308,30006415,256025651,17620490,17620489,23969921,31465573,31465572,40149237,50174808,44730362,35310951,27191178,27191177,23969912,23969913,31465555,40149213,35311250,35311249,42037592,33089682,25356831,25356830,33089679,40869988,35311330,35311329,40328259,31638589,31638590,35125388,27038266,27038265,35125385,44503045,44503048,44730301,35310857,35310855,27191040,27191041,27191660,27191657,35310914,27191678,27191677,35311318,34104020,26240561,26240564,27191032,31638473,31465639,31465638,27191134,20266834,20266835,20266783,14541106,10004622,10004621,14541112,14541385,14541383,14541150,14541151,20266868,20266970,27191274,32098240,24522992,24522991,27191082,28757197,35125313,27191434,21464083,15463320,10692145,10692146,10692148,7063725,4447460,4447459,7063723,10692144,15463264,10692113,7063713,4447455,2671940,2671941,4447458,7063721,10692137,15463315,20267008,24656390,18197921,14541575,10004885,6574750,6574749,10004828,6574722,4118465,4118464,4118469,6574735,10004813,14541421,14541439,20267268,27191622,21463950,15463209,10692078,10692079,15463214,12860548,12860549,15463271,15463272,10712204,7076901,7076900,10712198,15490846,21497499,21464016,21464015,28720226,28720235,21464023,21464008,15463250,10692101,7063708,7063705,7063704,10692095,10692129,10692122,10692121,15463293,21464062,24656383,20267468,20267467,20267455,20267454,20267260,14541435,10004821,6574729,6574730,10004843,14541488,20267344,20267282,14541444,14541445,20267284,27191646,28756887,21497517,21497518,28756889,32164310,28756880,21497508,21497509,27191611,27191610,31340822,40020189,37251077,37251076,33381733,33381732,37251039,28720197,21463981,21463982,28720199,21463989,21463988,21463956,15463216,15463217,21463958,255038904,37131115,28619258,28619259,28686911,21436876,15442239,15442238,10712217,10712216,15490877,21497548,28756924,37211242,28757045,21497680,21497678,28757040,32164319,32164320,37189319,37211177,28686834,21436822,21436823,21382631,21382630,15442270,10676076,10676075,15442263,21436913,21436846,15442224,15442200,15442203,21436806,28686815,33983770,33983769,40377385,31683830,24175520,24175519,31683825,37211425,37211423,37211319,37131141,28619273,21382621,21382619,21436896,15442250,10676068,10676067,15442216,15442217,21436835,28686851,37131143,37131110,28619254,28619255,27955885,27955883,36414081,37211185,37211183,28686872,21436853,15442227,10676059,7051656,4438568,2665443,1543194,1543195,2665446,254501169,10676062,15442234,21436868,255621714,44730680,44730679,37211399,37211397,37211396,47108059,38907126,38907127,48828877,47018593,47018592,51316618,47108037,47108036,58462844,47084790,41582743,32685282,25005887,18479187,18479188,25005890,32685289,28667942,28667943,28594941,28594942,37102504,46986899,37211385,28687022,28687023,22078507,15972742,11087398,7352812,7352811,11087392,15972731,22078486,29409096,34123637,34123611,26258206,26258207,26258242,26258243,28686980,28686979,37211331,46986851,37189346,37189345,37211263,47020025,37132426,28620387,28620386,37132421,37211359,47108088,47108074,37211354,37211351,32659467,24985623,24985620,257163975,46529155,46986946,46986945,46987068,58356768,51832061,51832060,58659123,47890715,37972651,37102550,28594989,21362568,15383873,15383874,21362573,21362613,15383901,15383900,21362589,28595019,256858953,47267491,58659148,59851662,48461057,38548734,29979772,22612904,16428485,11443717,11443715,16428478,22612898,29979758,38548724,37239239,28708512,21453690,21453691,28708518,28595083,28595084,37102700,46987049,46987050,47267500,46987070,37102684,37102685,30626318,30626320,39224075,49150573,41110217,41110218,51289876,62965046,70585903,58292393,46926670,46926669,46986970,37102585,37102582,46986963,50283070,46529125,36661664,28184962,28184963,36661670,28620669,24069449,17713456,17713457,24069452,29979766,29979744,22612893,22612892,28594931,37102484,46986881,47144520,37239219,28708503,28708504,37239226,47144526,40262058,40262059,50283048,58356740,50830447,50830448,40726558,31979626,24426026,18013958,18013957,24426023,31979621,40726540,50830435,62412234,57884821,57884822,70585896 Dl.O(d2) = 36691761,36691759,46578073,48833379,60228121,58370880,58370882,60228152,72965698,63833148,52018200,41707841,32792016,32792019,41707845,52018204,60228040,48833291,38912336,38912335,48833289,60228037,61536446,50057878,40038378,40038377,50057875,47000580,37114683,28605241,21371270,15390872,15390871,21371269,28605237,37114676,37114749,28605304,21371308,15390899,10636552,7021619,4415864,4415865,7021623,10636559,15390910,21371321,28605318,37114758,47000651,255176122,25093380,18546992,13178196,13178197,18546997,18547021,25093429,32791921,25093357,256103825,28605280,28605279,37114729,37114631,28605206,21371249,15390854,10636522,10636523,268206801,21371240,15390849,10636519,10636520,15390852,13178173,8982957,8982958,13178177,18546965,25093349,32791906,41707745,256522836,29679509,25093397,25093398,32791995,41707817,52018181,63833127,71087386,58370986,257711338,71381381,84649974,71087383,63833143,59734174,59734176,71079596,76940427,63833104,52018149,41707748,41707749,52018152,63833108,71381406,71381407,76940430,90816363,84642156,71079601,71079600,84642152,85864702,72273233,59539633,48153228,38244339,29679486,22328105,22328106,29679490,38244345,41707822,41707821,52018186,269027276,63833098,76940424,76940442,63833125,63833123,76940441,85001038,85001039,76940463,71381383,71381385,84956666,76940435,63833116,52018171,269460469,41224746,32400860,32400858,28804636,21537950,21537949,28804634,37342757,47252604,48153236,48153234,59539643,60533762,49133566,49133567,60533766,73278156,256338056,84997788,98881977,84956671,71381398,258070382,63833139,63833140,76940452,76940455,86888781,86888780,99817931,85864698,85864697,86889421,73278122,73278121,86889418,259449250,60533713,49133513,39206555,30610434,30610433,39206552,49133508,60533702,73278120,71427973,58695209,58695210,71427974,85001045,72966195,72966196,86564555,100525924,102490841,259321112,73278152,60533818,60533817,257459598,60533751,60533686,49133496,39206547,39206548,39206592,30610450,23190938,16924144,11844938,11844937,16924141,23190931,30610439,39206565,49133534,49133067,39206207,30610164,30610163,39206202,46584612,46584611,57734335,51763456,51763457,57734343,70428668,83955029,86888773,86888774,99817934,85864707,72273243,258048658,48153249,58695163,47304743,47304742,58695160,71427935,73278111,257593958,39206551,39206550,48833979,38913102,38913101,48833977,49133493,49133494,49133538,60533735,73278136,74848458,73278137,257689582,60533727,60533726,72966189,72966190,86564550,86624767,86624768,86889414,85001023,84950729,257459606,256050458,47144698,47144695,47144704,47144703,58533037,62050292,50557870,40521485,40521486,38913109,30326055,22924948,16690540,16690541,22924953,30326065,38913123,48834010,60228636,48833987,48833988,60228698,72966208,60287554,48893770,38973254,30386759,22984215,22984216,30386761,28796823,28796822,37334367,47244312,269009672,71975849,59238312,59238310,257106284,50557852,40521472,31824474,31824473,38913067,48833922,50557834,40521456,40521455,50557831,269009674,37334360,37334359,47244303,58637887,50557721,50557720,48833998,38913115,30326058,30326059,38913118,48834001,60228717,62050296,74848464,75799158,62834945,51184826,41028305,32235909,256584301,51184828,62834948,75799164,86670504,73065195,60324264,60324265,73065198,73065206,62050288,62050287,62050286,62050268,50557839,50557840,48833915,48833916,60228595,71264744,58532939,58532938,71264742,71287617,71287622,58555569,58555570,71287625,78266387,92293517,100525892,86564559,72966198,257689566,258298846,88484158,84838955,84838956 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 566370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 566370, s2 = 1715134, int(edited[s2]) = 0 s1 = 566370, s2 = 1715134, d1 = 13, d2 = 10 Dl.O(d1) = 14516116,9988526,9988525,12231028,17112409,17112399,17112400,16447150,11459467,11459466,16447146,21075104,28279798,36775895,31043001,23560232,17250158,12131219,8161961,8161959,12131212,17250145,23560214,31042957,31042958,39720551,38107723,29544521,29544519,30743053,30743052,32802615,25100822,25100821,31810413,31810414,40505961,31810501,24295340,24295339,17913063,12690971,8621329,5605203,5605205,8621337,12690982,17913081,24295451,31810638,26255887,26255888,29672329,29672330,32742327,32742326,25052146,25052088,25052087,30918928,25052152,24295252,17912963,17250212,12131243,8161973,5232168,5232166,8161953,8161955,12131206,17250134,22394784,22394783,29755457,29672277,22321008,19537482,13989358,13989357,19537476,17250386,17250385,23560575,31043414,33004306 Dl.O(d2) = 17250407,23559635,17249815,12131029,12131027,17249812,23559626,31042205,31043160,23560364,23560367,22732298,255932857,38688673,48604518,49329600,40386551,40386550,39720071,31042423,23559782,23559781,31042420,39720066,257044955,31042530,23559862,23559863,256431884,49738705,61217169,65777050,60349225,48953028,39031151,30442042,23034961,16791128,16791127,12131283,255157191,23559732,23559733,24184504,17816018,17816019,24184507,31693021,39401363,30798117,30798118,39401366,31692962,24184447,24184448,31692963,39720432,39720433,31693125,24184600,24184599,31693122,40386448,39720732,31043145,31043146,31692967,40386329,40035809,31355930,23862247,23862246,31355926,39401410,30798152,30798153,31043138,31043139,39720725,49739030,49738671,48953025,39031162,39031155,39031154,37115721,37115722,47001602,49329590,48147286,48147285,53369408,42903349,33858265,33858266,31355883,31355882,31355903,23862238,23862239,30442065,31043174,31043176,39720764,31693158,24184623,17816101,12613817,12613818,17816107,24184640,24527933,18096057,12830325,12830327,18096063,24527945,32104019,40876355,37115779,28606211,21372039,21372040,23371564,30798139,29222276,21906987,21906986,29222271,37783918,42448776,39401377,39401375,49329610,40386233,37116014,37115653,37115655,39444963,40789093,48179215,48179214,50905811,62506329,58371972,52678906,42292494,42292493,37115949,268612282,15391587,10637055,255032285,21372144,22349504,28606130,37115663,40876363,47001741,256883624,37116041,37116042,47001884,49329632,40036331,40036332,38269923,29704013,29704014,38270093,47500851,47001749,47001750,37596962,37596961,47500842,47500843,40789091,40036327,31356495,256319745,21372003,15391504,10637008,10637009,15391508,10637053,7021962,4416150,4416152,7016479,7016478,10629927,15382206,15391489,10637001,10637002,15391494,21371985,28606140,28606195,21372030,21372031,28606199,29703539,29703538,22607419,21906961,15825903,15825901,21906956,29222224,29703438,22349111,22349112,29703443,38269518,37596975,29049169,21755447,15701283,15701282,21755441,22349430,16199103,16199101,22349221,22349225,29703609,22349436,16199108,11260673,11260674,16199111,22349440,29703890,37115676,28606273,28606272,37115799,29703559,28606296,28606295,37099382,38269509,29703433,22349129,22349128,22349532,16199166,11260701,11260702,16199054,11260689,11260690,16199135,16199134,22349481,29703712,22349313,22349315,29703716,36808213,38269463,29703965,22349488,22349489,29703971,38269703,29703654,22349270,16199016,11260634,7475463,7475462,11260628,16199002,22349246,16199047,11260652,7475470,7475469,11260648,16199039,21372108,28606317,37115865,37115806,28606226,22349193,22349184,22349186,29703558,22349367,16199062,11260656,11260657,16199068,22349373,29703791,38269827,46692106,37099353,37099354,29703678,22349292,22349293,29703681,36808220,28311439,28311440,28592333,21360396,21360395,21101362,15157291,15157292,20260937,27183636,35302702,29703458,22349121,16198936,16198937,22349125,29703467,38269536,36808193,36808194,28919499,21644305,15611730,10801138,10801139,15611738,19365343,19365342,26044385,33866453,36808335,46692074,51055297,48179080,38269850,29703813,29703815,36808055,34655655,34655656,38146147,38269880,38269881,34655620,26663979,19848929,19848928,22232066,29579935,28311384,21101229,15157213,10453123,6890660,4325766,4325767,6890665,10453132,15157231,21101255,28311414,36808072,46691859,43929000,36808206,28311428,21101264,21101265,28311436,28919480,21644292,15611720,15611719,21644286,28919473,35302745,27183668,27183669,35302746,34655647,34655645,37458918,29889902,22535425,22535426,29889909,36808137,43928849,40285695,31600717,31600716,26663992,19848938,19848937,255730137,34655696,43928882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 566370, s2 = 1715134, dlinesl.size( ) = 2 s1 = 566370, s2 = 1715134, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 566370, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 7867201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7867201, s2 = 6556206, int(edited[s2]) = 0 s1 = 7867201, s2 = 6556206, d1 = 13, d2 = 11 Dl.O(d1) = 38852354,30268194,22871279,16643232,11611138,7730916,4894003,2949329,2949330,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931440,4796117,4796116,7582672,11410822,10926404,7588665,254784649,7584943,4817809,4811369,4811371,4796149,4796148,7582728,10416155,6866430,6866431,4907244,4907243,7741118,7687401,4864336,2931137,2931138,4864340,7687406,7696723,268093291,11444954,255103337,11622287,7740645,7589167,4800470,2893463,1679230,955252,538579,538578,955250,1679227,2893457,4800466,7589162,11418650,7593695,4803482,2895150,1680104,955688,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404475,958483,540042,302609,302610,540043,958487,254540581 Dl.O(d2) = 255925997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7867201, s2 = 6556206, dlinesl.size( ) = 14 s1 = 11656626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13223163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1516105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 644640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15864948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15864948, s2 = 8247683, int(edited[s2]) = 0 s1 = 15864948, s2 = 8247683, d1 = 25, d2 = 38 Dl.O(d1) = 6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,9211128,13469208,18900727,13476753,9218146,9218147,12955366,12955365,9407227,6163385,6163384,9225582,6041857,6041858,9225584,13484380,18915046,25524262,33284366,42264125,52649951,255871524,37793002,37793001,255871522,50279630,42285931,42285918,42285919,268079648,24065934,24065935,31571571,40258955,50279887,61759520,61759446,50279785,47713754,47713753,59111274,61759448,59111216,59111217,59111232,59111233,59111261,61759469,52548109,52548107,59111227,47713706,47713707,42285914,33305756,25543851,25543850,33305753,256366286,47713691,37793007,29230842,21914093,15831312,10970973,10970974,15831317,21914098,29230852,37793020,47713704,42189341,40258953,40258952,47993928,52548106,42189337,37793049,37793050,47713697,40258859,31571495,31571494,40258857,47713989,256366278,256366288,256366280,50279730,50279729,61759397,71849495,59111304,47713777,255062514,37793009,29231159,21914387,21914386,25480514,18878408,13453152,9200215,9200214,12527970,17710261,24065884,254231740,37793053,29230889,29230890,31712885,40404917,50438908,254755040,57984675,57984674,47713975,255871542,31571479,31571477,40258830,50279783,61759442,268627232,50279710,50279711,42189372,33229073,25480474,18878380,18878379,25480473,21914099,21914098,29230852,33229129,33229130,42189451,52548237,64422191,71849674,71849673,65786387,65786388,79140762,74542998,61759360,50279666,256908154,60462924,67799205,55457538,44609122,44609123 Dl.O(d2) = 258075442,86294627,72696943,72696942,86294625,88138239,257127376,72133234,257712364,258949766,88175930,100842447,87832903,74227982,61448748,61448747,61448753,74227987,87832907,74227985,74227986,61448778,61448779,74228009,87832932,101806910,114892286,114892288,115853219,129752562,115853224,101806898,101806899,115853226,261086628,128787806,114892296,100842446,257425440,60502431,49098859,49098858,60502429,269308208,100842443,114892293,128787803,129752564,129752567,128167108,114283387,100252760,86289494,72691424,257552813,38645621,30070092,22690713,16489841,11489138,267894517,254541851,11489140,16489845,20801977,27964269,36422631,38645641,38645642,48560924,38645618,256971957,48560987,48560981,48560980,258161701,59953055,59953056,72691356,72691358,270855155,259410296,59953138,59953139,72691361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15864948, s2 = 8247683, dlinesl.size( ) = 8 s1 = 976804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 976804, s2 = 14162397, int(edited[s2]) = 0 s1 = 976804, s2 = 14162397, d1 = 1, d2 = 1 Dl.O(d1) = 24723635,32339664,268278488,40901710,40901711,51040893,62669292,254984768,32595794,24933989,24933988,254475520,30082092,268178532,11494007,11494008,255489003,30082096,38659345,256235550,26240263,26240262,254984792,40234507,31548584,255580251,12513717,17692737,256032057,40234518,40460363,40460364,40234499,31548568,24045088,17692732,17692733,24045089,31548572,38564177,48477543,44542660,44542661,55389879,65230521,256618890,33759935,33759934,257237889,65230519,258365798,52250718,41912936,41912937,51393206,258207582,24554432,32135780,257129027,62686051,75630678,259578111,260790473,260781712,117394977,261351517,156838259,272975962,156425156,143918207 Dl.O(d2) = 24723635,32339664,268278488,40901710,40901711,51040893,62669292,254984768,32595794,24933989,24933988,254475520,30082092,268178532,11494007,11494008,255489003,30082096,38659345,256235550,26240263,26240262,254984792,40234507,31548584,255580251,12513717,17692737,256032057,40234518,40460363,40460364,40234499,31548568,24045088,17692732,17692733,24045089,31548572,38564177,48477543,44542660,44542661,55389879,65230521,256618890,33759935,33759934,257237889,65230519,258365798,52250718,41912936,41912937,51393206,258207582,24554432,32135780,257129027,62686051,75630678,259578111,260790473,260781712,117394977,261351517,156838259,272975962,156425156,143918207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 976804, s2 = 14162397, dlinesl.size( ) = 2 s1 = 976804, s2 = 14162397, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 976804, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14162754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162754, s2 = 10355496, int(edited[s2]) = 0 s1 = 14162754, s2 = 10355496, d1 = 12, d2 = 5 Dl.O(d1) = 26621402,26621404,34610145,29674700,22323845,16178659,11245412,7464492,7464494,11245416,255464957,29476304,29476306,38039207,30679065,23262538,16999183,16999182,20111890,14423266,13072790,11245447,7464513,4717067,2841768,2841767,4717064,7464505,11245431,16178684,255464959,16178706,22323905,29674757,38239583,37997202,37997201,40792362,32035100,29652806,29434509,22102042,22102041,22102071,22102070,15991924,15991913,11101592,7362221,254235124,1624892,923916,923915,1624890,254349763,7362215,11101581,15991896,22102038,22252009,16113817,255451006,22102048,29434516,22102194,15992032,11101679,7362285,4650432,2801178,2801179,4650435,7362177,7362178,268082589,11101648,7362261,4650415,2801169,2801171,4650421,7362270,7420738,4689385,4689383,255458161,269808571,16500422,22704189,21523340,15511320,10727529,7087713,7087714,7651578,7651579,7652809,7653541,7653540,9492793,6225551,3897314,2333992,1352768,771648,438348,247330,136628,74395,74396,136629,247337,438383,442012,447631,251844,138975,138978,251855,447671,790538,1389690,790278,790281,1389706,2401336,3855326,3855330,3924126,3924129,2424371,1402326,1402323,2424361,3175392,5204555,6152658,6387556,6386438,5204607,3175410,1858907 Dl.O(d2) = 5204660,8123856,12080957,16508287,16507978,11503581,7651937,4842113,4842112,7652884,255108463,11496746,11503859,7652154,4841620,2917634,2917635,4841624,7648451,7653531,7650755,4840656,4840657,7648506,7647177,4838297,2915578,254169181,961785,1691332,2915576,4838291,7647170,11497010,16497819,11494762,7645304,254791337,4841645,255108967,22712399,271349895,141543366,263177755,273726145,265004165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162754, s2 = 10355496, dlinesl.size( ) = 2 s1 = 14162754, s2 = 10355496, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162754, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 453817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 453817, s2 = 14225899, int(edited[s2]) = 0 s1 = 453817, s2 = 14225899, d1 = 3, d2 = 184 Dl.O(d1) = 11503758,16508182 Dl.O(d2) = 3778313,3771481,3771479,6028553,9208578,13466317,18897978,24722041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 453817, s2 = 14225899, dlinesl.size( ) = 14 s1 = 6636596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6636596, s2 = 7144833, int(edited[s2]) = 0 s1 = 6636596, s2 = 7144833, d1 = 8, d2 = 14 Dl.O(d1) = 256819516 Dl.O(d2) = 263178305,263468610,192529498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6636596, s2 = 7144833, dlinesl.size( ) = 6 s1 = 454333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7975294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 454698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 647606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 647606, s2 = 9109339, int(edited[s2]) = 0 s1 = 647606, s2 = 9109339, d1 = 14, d2 = 3 Dl.O(d1) = 16553354 Dl.O(d2) = 1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1358532,774419,439721,248033,248032,439704,774380,1358437,2345115,3917746,6258152,9539259,9315869,9315866,9544052,13900614,9547046,6263849,6263850,6377920,9697235,14099056,13741356,9414621,9414619,9563110,6275252,6275253,9539467,9539468,9543202,6261172,6261174,9543208,9416607,9416608,13744030,13814009,9541393,9372320,6139308,3841138,3841139,267736748,1358377,1358376,2312664,1362532,1362528,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1362139,1362137,2321690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 648189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10333545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 648526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 648526, s2 = 14109508, int(edited[s2]) = 0 s1 = 648526, s2 = 14109508, d1 = 0, d2 = 18 Dl.O(d1) = 16575462 Dl.O(d2) = 149964971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 648526, s2 = 14109508, dlinesl.size( ) = 12 s1 = 13467653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13313235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 461410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165097, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8307760, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13264235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13264235, s2 = 12258229, int(edited[s2]) = 0 s1 = 13264235, s2 = 12258229, d1 = 12, d2 = 19 Dl.O(d1) = 17566063,12394653,12394654,17566065,23909619,31401823,30611455,23191803,23191802,23191939,16924991,11845597,7917048,5033302,3047414,3047413,5033299,7917043,7917055,11845601,11845603,16924994,23191944,30611624,30226742,22835126,16614019 Dl.O(d2) = 15196228,21150222,28366545,25960706,21151718,21151720,27107289,28368727,21151969,21151967,28368705,28368707,29478444,23802484,23802487,28369903,21153002,21153007,21153768,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217747,30641095,39239138,39239945,30642481,23219396,23219395,30642478,23221421,23221420,23676479,23676478,21151589,15197064,15197063,21151582,23675787,30643528,37748068,36865576,28367707,28367708,23223481,17355939,17355938,17357274,12227425,8255451,5325652,3273388,3273389,5325654,8255457,12227437,16946081,11860265,11860267,11861792,11861793,16948454,15198545,10482804,10482803,7926429,7926430,7926857,7926856,11860710,11860709,12315785,12315455,8318712,8318713,12315461,8319091,5368171,5368170,8319085,12316158,16948955,16948956,17356965,23677094,30644533,23221953,16948934,16948935,23221954,28068748,20897520,20897521,23221631,16948625,16948624,16948658,22048030,16950148,16950145,20935502,15254789,15254788,11815302,7893357,7893354,6940735,4361921,2613897,2613895,4361913,6940752,6940750,10524074,15254553,254917172,36951475,256119930,70907987,73305903,60562270,49162494,49162495,60329260,60562046,60562045,59243840,47847228,37927393,37927394,47847232,47263640,37354046,28815085,21546608,21546606,28815083,256877543,23013137,23013083,23013082,30418104,39007338,257579957,71416418,71416417,258703886,49974561,39957963,39957964,49974566,58682811,47291869,37382714,37382715,28842892,21571468,15548869,10753982,10753981,15548864,268387259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13264235, s2 = 12258229, dlinesl.size( ) = 2 s1 = 13264235, s2 = 12258229, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13264235, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 650760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 651634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 651634, s2 = 9464605, int(edited[s2]) = 0 s1 = 651634, s2 = 9464605, d1 = 1, d2 = 24 Dl.O(d1) = 16634952 Dl.O(d2) = 41157631,48334378,38429489,38429488,34995371,26913967,20029510,14346434,255322539,26913972,34995379,44373621,55224416,51735774,51735773,63513427,76592202,64377858,52504061,42145884,42145883,37697485,37697486,32589915,32589916,41466889,51735780,63513430,76592207,90449582,104611822,92523904,259074013,65199596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 651634, s2 = 9464605, dlinesl.size( ) = 2 s1 = 651634, s2 = 9464605, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 651634, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 651784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6654806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 652218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10194959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7898261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7898261, s2 = 219435, int(edited[s2]) = 0 s1 = 7898261, s2 = 219435, d1 = 32, d2 = 59 Dl.O(d1) = 20320384,20320383,27253368,35378089,33043472,33043473,41987231,46868411,36989810,35380360,27255438,22889617,16660543,11627674,7745537,7745538,11627676 Dl.O(d2) = 29899555,22544058,16368477,11391238,7568268,4785888,2884792,2884669,1674062,1674061,2884666,4786332,4785474,2885135,1674394,1673130,1673131,2883347,4784701,4785493,2883980,2882913,1672830,951644,951645,1672835,2882922,1674228,952474,952475,1674232,2884935,4530776,4530772,2723478,2723479,4530773,7191997,4530914,4530912,4530726,2723439,1578155,1578154,951839,536708,536709,951840,1673165,2883410,2884332,1673804,952219,536904,536783,536785,951988,1673441,1673465,1673464,1672992,951784,536681,300922,166667,166666,300916,536670,951759,1673046,952283,952284,1672787,952115,952116,1578345,897404,506337,283967,283964,506327,536630,536631,951685,1672900,1673139,2883359,1673955,1673956,1674513,952652,537148,537150,952003,536794,300976,166716,166717,301035,536622,300898,300899,536625,254168051,2882970,2723507,2723506,1674254,254240499,1673945,1673944,2884511,4530979,2884052,1674246,952482,952481,952274,536932,536933,536994,952324,1672925,1672926,1673118,1673843,2884370,4785942,4786509,254240493,952443,952444,1674176,2884855,2883746,1674460,952615,952613,952368,952367,1674030,2884627,254510411,2723501,2723500,4530796,4786731,2885048,1674330,1674329,2885043,4785817,4786835,4786834,2885165,2884737,1674109,952411,952410,1674104,2884195,2884840,2884839,2883477,2883476,4457476,2884843,2884844,4457006,6869148,4530964,2723636,1578295,897378,897379,1578300,2723641,4530974,7192187,7079414,4457121,4457120,4988795,7079548,4457216,2677629,2677628,4456967,2677495,2677494,2677867,4457570,254736635,4457049,4457050,254736637,10715948,10715947,7567443,4785139,2883663,1673321,951919,951921,1673327,2883672,4785153,7567470,10715066,7079568,7079569,7080020,4785031,4785029,4457247,4457246,7079598,10715931,8521742,5520442,3407200,3407199,5520436,8521730,7078979,4518193,4457233,4457234,7079580,10715907,15495418,21503002,16367104,11390208,7567410,7567412,11390212,16367109,21984818,15888705,15888706,15494610,10715212,7079034,7079035,10715215,7079191,7079189,10715414,15494821,21502223,28761883,23760958,17433290,12287639,12287640,17433293,256008687,37296382,35229837,35229838,27135438,27135436,35229839,29537974,29537973,37579260,37579259,39953887,31279160,23793328,17461431,12309958,8314620,5364988,3298129,1939747,1939748,3298131,3300430,3300431,5368485,8319601,12316887,17470310,23793303,17461411,17461409,19078764,23803436,23803437,21613748,15584424,10780794,10780792,15584419,17264729,23576161,255044956,21715416,15672210,15672209,21715414,23745995,17420694,12278441,8292206,8292207,12278443,12316866,17470273,23803443,23746031,255963314,22194845,22194846,29537967,38101516,39738331,31060191,23793166,17461313,12309889,8314582,5364970,3298120,1939744,1108000,621794,345561,345562,621796,1108004,1939752,3292691,1936474,1106085,621613,621614,1107698,1935614,1928836,1108778,622267,622268,1105573,267755429,620205,1105337,1108442,622057,622058,1108449,1935610,1925447,1100156,617499,343222,188264,188263,343215,617482,343280,188300,188299,343292,617635,1100391,1925829,1940415,1940413,1940623,1108513,1108512,1102486,618720,343843,188554,102950,56628,56629,254080219,343852,618737,1102514,1929659,3280585,5336723,8270463,12229541,8257317,5327012,267908473,5533488,3418949,2018833,2018832,3418948,3286148,1932495,1103852,1103848,1932482,3286136,4708345,3286179,3277416,3277418,4708248,7451823,5552189,3436860,3436858,5552182,8269681,8269641,5336105,4708413,4708416,5357926,8304031,12274802,12243930,8269093,8269092,5366358,3299067,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,7460817,4714507,4714508,7460819,11240673,11230839,11230840,16163829,22310660,23739140,17414338,17414339,17710062,12527812,12527813,16166270,17803771,23739249,23739248,17827974,12623226,8569308,8569309,6015179,4709245,4709244,7453425,11232078,12526146,12526147,13442731,11594173,7717947,7717948,8549855,12597121,17796658,17718377,12534999,8496742,5498097,3387837,1995760,1995759,3387836,5498093,4711450,4711448,5498100,3761780,2253535,2253536,2840242,2840241,4714689,7461049,5577392,5577393,7454557,7454558,7460979,5184362,3162934,3162935,5184367,8092061,7898088,5494012,5494010,5553002,5487959,3378648,1989039,1706878,1706881,1989022,2943486,2943485,4884917,7453563,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,2061171,2061173,3474357,3474354,5527734,6017409,6017411,9189378,6015123,6015126,7461408,5563841,5334395,4714061,4714060,5505626,8505234,254414533,2014897,2014898,1938791,1107452,1107454,1938794,3296483,5362403,8310706,5572955,3457067,254419703,8577111,12605863,11817169,8531571,8531570,12578222,12272775,12272774,12564023,12564024,17756012,12611185,8559866,5556922,3441443,3441441,5556920,8559864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7898261, s2 = 219435, dlinesl.size( ) = 14 s1 = 13454247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13454247, s2 = 11655727, int(edited[s2]) = 0 s1 = 13454247, s2 = 11655727, d1 = 0, d2 = 0 Dl.O(d1) = 53127108,53127095,257509576,42675895,49821338,39800540,31119982,23633401,23633402,31119988,39800546,49821345,49917342,257639328,52457168,42105085,33151227,28396044,21176126,21176127,25410605,256124765,37722683,46965270,37084094,31220752,23736933,17412091,12271084,12271083,17412089,23736931,31220746,39897603,39897627,42105086,33151229,268744625,24919690,18411336,18411337,24919691,25019402,25019401,30560076,31894153,24366031,24366030,31894151,38132352,29566522,22220524,16088396,16088397,13077248,13077247,18411366,18411483,13077345,8911172,5815100,5815101,8911175,13077350,18411492,18411329,13077216,8911079,5815047,3627346,3627345,5815044,8911074,13077207,254776866,18489227,13135478,268085040,18436748,18436747,18411449,13077325,8911158,8911160,13077326,16528407,11519475,7662852,7662853,4848735,4848736,7663656,255110031,22737467,22737397,16530470,16530471,13135489,13032783,254893129,8793013,12925655,16530469,11520781,7663601,4848702,2921722,2921723,4848705,5699532,5699531,8754161,5699526,5699525,8754160,8754197,8755170,254890103,11831872,11520862,7663663,7663662,11520860,16530562,12734985,8754086,8754085,255220853,12873811,18154626,18154709,18154708,24602556,24600570,18154872,12874004,8755173,8755172,12874002,12925694,12925695,18154956,12874078,8755246,8755248,255221049,12873691,8754947,8754946,12873686,18154498,24374955,17976764,17976763,12872564,8754083,8754082,12872561,18153066,256071375,18154687,12873856,12873857,18154688,24602527,18154672,12873840,12873839,18154669,24602525,24602775,24602774,32190314,32190167,32190166,32190598,24602875,18154991,12874101,12874100,18154815,18154675,18154510,18154509,22737493,22737494,30119346,268462945,18154713,18154714,16665672,11632038,7749213,7749212,11632036,16665666,11632042,11632043,16665683,22895701,24602622,18154746,12873904,8755104,5700209,3546928,3546932,5700216,8755119,12873936,12874112,8755266,8755267,12874117,18155008,24602898,24691450,24691448,255141752,40969977,32190396,24602628,24602629,32190399,38880561,32190161,32190160,32190452,32190453,40970007,51112138,51112182,51112107,40969964,32190387,32190386,40969962,32190600,32190601,32190438,24602838,18154964,12874087,12874089,18154968,24602846,256582069,38880193,30294337,256071567,18154761,12873913,12873915,18154764,24602645,32190408,40969987,48802736,48802735,40969930,32190357,24602587,18154718,18154717,24602584,30293862,38879740,44618105,51112136,51112214,51112113,40969970,32190412,24602651,24602653,30294663,22896150,22896149,30294660,38880469,40969960,32190563,24852505,22896172,16666106,16666108,22896177,19847625,14219458,14219456,18502349,254904471,5847885,3649372,3649371,5847882,8959246,13145272,18502335,25035844,32722693,256613829,32722619,269064353,63742161,257439478,37204689,28681165,21431908,21431911,28681167,37204693,47101108,58479438,71201270,71201432,63742151,258371011,84770704,71201396,257439466,37204649,28681143,28681144,37204652,257439470,41629118,51932160,63742100,63742101,64815007,78008119,91929419,90718747,259300908,84770747,98699466,258678602,90718756,84770732,259308103,98699432,84770713,84770712,84770746,84770729,71201435,58479432,47101101,47101102,58479433,71201437,84770731,85377830,85377829,85377811,71788439,71788438,59046818,47645248,47645247,59046815,71788440,85377813,271081332,99322451,93058786,93058787,98523589,98523590,85377808,85377807,99322464,89553341,89553339,256631002,99322450,85377833,71788475,71788476,257829702,59046784,59046783,71788407,78940718,259051034,78940709,65596804,53564406,43080068,43080067,53564405,257807824,88245629,93058792,258110538,256920400,34018661,26174724,19472559,19472558,26174722,34018654,30294650,30294651,38880459,38880510,38880511,48802709,51112131,55467223,44618126,35236012,35236013,44618128,51563981,256601317,24852431,24852430,30294683,30294682,27140468,27140469,35236016,36538292,36538293,40970084,40970082,51112175,47685070,38880577,30294764,30294765,32494479,24852527,18356182,13032729,8875214,5786918,3607312,3607313,5786922,8875218,13032735,18356194,24852549,32494510,41341964,44618145,44618146,51564063,48803995,38881959,30296125,22897514,22897515,30296127,32494513,41341880,39752040,39752039,257154197,32494346,32494347,257154199,48803977,51564115,55467222,51112170,51112169,47303939,256338003,28854034,37394570,41341731,51563907,257552218,41341996,32494546,24852568,24852567,32494540,37937745,255940442,24852592,268721777,28854030,28854032,37394566,47303937,58694318,63282387,51564104,51564019,51564022,63282411,63282376,63282377,76304653,256612666,51563928,51563929,51110205,51110179,40967859,40967858,38882023,30296173,30296174,38882030,42456798,42456797,257166650,52860869,52860870,48804032,48804033,51563917,41341739,38880889,38880890,42456860,48802806,48802821,60199430,64780536,52860934,52860933,59030494,47628314,37706045,37706046,30294882,30294881,38880697,48802826,48804195,48804196,52860905,60198380,60199929,48803456,48803161,48803160,48804175,48803040,48803015,38880876,30295059,22896482,22896483,30295062,25691371,25691370,30295137,30295138,38880956,38881450,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Dl.O(d2) = 53127108,53127095,257509576,42675895,49821338,39800540,31119982,23633401,23633402,31119988,39800546,49821345,49917342,257639328,52457168,42105085,33151227,28396044,21176126,21176127,25410605,256124765,37722683,46965270,37084094,31220752,23736933,17412091,12271084,12271083,17412089,23736931,31220746,39897603,39897627,42105086,33151229,268744625,24919690,18411336,18411337,24919691,25019402,25019401,30560076,31894153,24366031,24366030,31894151,38132352,29566522,22220524,16088396,16088397,13077248,13077247,18411366,18411483,13077345,8911172,5815100,5815101,8911175,13077350,18411492,18411329,13077216,8911079,5815047,3627346,3627345,5815044,8911074,13077207,254776866,18489227,13135478,268085040,18436748,18436747,18411449,13077325,8911158,8911160,13077326,16528407,11519475,7662852,7662853,4848735,4848736,7663656,255110031,22737467,22737397,16530470,16530471,13135489,13032783,254893129,8793013,12925655,16530469,11520781,7663601,4848702,2921722,2921723,4848705,5699532,5699531,8754161,5699526,5699525,8754160,8754197,8755170,254890103,11831872,11520862,7663663,7663662,11520860,16530562,12734985,8754086,8754085,255220853,12873811,18154626,18154709,18154708,24602556,24600570,18154872,12874004,8755173,8755172,12874002,12925694,12925695,18154956,12874078,8755246,8755248,255221049,12873691,8754947,8754946,12873686,18154498,24374955,17976764,17976763,12872564,8754083,8754082,12872561,18153066,256071375,18154687,12873856,12873857,18154688,24602527,18154672,12873840,12873839,18154669,24602525,24602775,24602774,32190314,32190167,32190166,32190598,24602875,18154991,12874101,12874100,18154815,18154675,18154510,18154509,22737493,22737494,30119346,268462945,18154713,18154714,16665672,11632038,7749213,7749212,11632036,16665666,11632042,11632043,16665683,22895701,24602622,18154746,12873904,8755104,5700209,3546928,3546932,5700216,8755119,12873936,12874112,8755266,8755267,12874117,18155008,24602898,24691450,24691448,255141752,40969977,32190396,24602628,24602629,32190399,38880561,32190161,32190160,32190452,32190453,40970007,51112138,51112182,51112107,40969964,32190387,32190386,40969962,32190600,32190601,32190438,24602838,18154964,12874087,12874089,18154968,24602846,256582069,38880193,30294337,256071567,18154761,12873913,12873915,18154764,24602645,32190408,40969987,48802736,48802735,40969930,32190357,24602587,18154718,18154717,24602584,30293862,38879740,44618105,51112136,51112214,51112113,40969970,32190412,24602651,24602653,30294663,22896150,22896149,30294660,38880469,40969960,32190563,24852505,22896172,16666106,16666108,22896177,19847625,14219458,14219456,18502349,254904471,5847885,3649372,3649371,5847882,8959246,13145272,18502335,25035844,32722693,256613829,32722619,269064353,63742161,257439478,37204689,28681165,21431908,21431911,28681167,37204693,47101108,58479438,71201270,71201432,63742151,258371011,84770704,71201396,257439466,37204649,28681143,28681144,37204652,257439470,41629118,51932160,63742100,63742101,64815007,78008119,91929419,90718747,259300908,84770747,98699466,258678602,90718756,84770732,259308103,98699432,84770713,84770712,84770746,84770729,71201435,58479432,47101101,47101102,58479433,71201437,84770731,85377830,85377829,85377811,71788439,71788438,59046818,47645248,47645247,59046815,71788440,85377813,271081332,99322451,93058786,93058787,98523589,98523590,85377808,85377807,99322464,89553341,89553339,256631002,99322450,85377833,71788475,71788476,257829702,59046784,59046783,71788407,78940718,259051034,78940709,65596804,53564406,43080068,43080067,53564405,257807824,88245629,93058792,258110538,256920400,34018661,26174724,19472559,19472558,26174722,34018654,30294650,30294651,38880459,38880510,38880511,48802709,51112131,55467223,44618126,35236012,35236013,44618128,51563981,256601317,24852431,24852430,30294683,30294682,27140468,27140469,35236016,36538292,36538293,40970084,40970082,51112175,47685070,38880577,30294764,30294765,32494479,24852527,18356182,13032729,8875214,5786918,3607312,3607313,5786922,8875218,13032735,18356194,24852549,32494510,41341964,44618145,44618146,51564063,48803995,38881959,30296125,22897514,22897515,30296127,32494513,41341880,39752040,39752039,257154197,32494346,32494347,257154199,48803977,51564115,55467222,51112170,51112169,47303939,256338003,28854034,37394570,41341731,51563907,257552218,41341996,32494546,24852568,24852567,32494540,37937745,255940442,24852592,268721777,28854030,28854032,37394566,47303937,58694318,63282387,51564104,51564019,51564022,63282411,63282376,63282377,76304653,256612666,51563928,51563929,51110205,51110179,40967859,40967858,38882023,30296173,30296174,38882030,42456798,42456797,257166650,52860869,52860870,48804032,48804033,51563917,41341739,38880889,38880890,42456860,48802806,48802821,60199430,64780536,52860934,52860933,59030494,47628314,37706045,37706046,30294882,30294881,38880697,48802826,48804195,48804196,52860905,60198380,60199929,48803456,48803161,48803160,48804175,48803040,48803015,38880876,30295059,22896482,22896483,30295062,25691371,25691370,30295137,30295138,38880956,38881450,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13454247, s2 = 11655727, dlinesl.size( ) = 2 s1 = 13454247, s2 = 11655727, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13454247, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 13184617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13184617, s2 = 13197094, int(edited[s2]) = 0 s1 = 13184617, s2 = 13197094, d1 = 16, d2 = 15 Dl.O(d1) = 4755230,4755231,7521129,11324967,254552830,254247530,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,254552338,16731462,17065314,11993663,11687132,7793756,4941674,4941679,7788174,5121021,5121022,8031688,11982709,14348368,14348369,11842622,11533682,7673096,7673097,11533684,16547760,16668645,11634207,11634206 Dl.O(d2) = 254552598,22953624,22953623,30355396,23351784,23351785,22963682,16726993,16726994,22963684,30365721,23338821,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,7977428,11923324,17009384,17798765,17798763,23342764,23268381,21709070,15667141,10845859,10845860,15667145,17103691,17094805,12007999,12008000,17082717,12007994,11979382,8027309,5116435,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,7973870,8024649,7973877,7973878,7993311,8025109,8025110,11866600,16954199,16287785,11907865,11907864,11916381,7971257,5072074,5072073,7971253,7999560,7999559,11542094,7992878,7992880,11941999,17026957,16962546,254379220,5047900,254175758,11874411,7963945,7963946,254175754,28874567,22455803,22455802,29822987,38395346,43894825,34623013,26633789,26633788,19838044,14211833,9770027,254964829,19838045,254682230,22313600,17787388,17787357,12589421,12589422,17730880,13009351,13009350,9720457,9720459,14129401,19705832,26444881,34321571,33169552,33169553,33070415,32775009,25077702,25077701,31712780,24817067,24817066,24169162,17801711,12601486,10900560,7209212,7209213,6154464,254305423,1338690,2307133,3850800,6154484,9394239,10661707,10661708,10638045,7022700,7022701,10638048,15392831,14442354,12503701,12503702,9381410,9381408,13697851,19181289,13697884,9381354,6145957,6145956,7011002,4407692,3845916,3845915,6146011,6146012,6204869,9463211,13799745,18772292,25354488,33087121,28647498,21405524,15417935,15417934,21405522,18446799,13715061,254663423,3850779,3850778,6154449,9394186,13715054,255606604,33666259,34585685,33637242,25834248,19181295,13697856,9381338,6145948,6145950,9381341,13697863,13715167,9394255,8939481,8939482,13116653,18463896,13697906,10978776,7266801,7266802,9381570,9381571,13698162,19181623,254427924,24965551,18446804,13103944,8930729,8930727,13103941,18446802,24760876,24471296,19202801,13715052,255284449,25859945,33666256,37815142,33637223,25834216,25834215,25834314,33637256,25834279,19181331,13697892,9381359,6145962,6145963,9381365,13697902,12796688,12796690,18051003,14587734,10037639,9381281,9381282,12796745,12796744,13715193,13715194,13246187,13103890,13103891,18446741,18446825,13103962,8930745,5829048,3637243,2173342,2173341,3637237,5829031,8930705,13103910,18446762,16594465,16594467,22812486,24638715,24638714,28608565,24327555,24327554,25834206,25337694,18758006,18758004,24965492,25337689,19181367,18049042,18049043,19181264,13697833,13697834,19181268,18051005,13697797,9381301,254500422,6596473,7034852,8700235,5663081,5663082,8700238,9381291,13697779,19181206,24965508,20327007,14587842,14587841,13103953,8930739,8930740,8930693,8930692,13103897,15445467,10678639,10678640,12796714,12796715,12796697,12796698,18051013,19181185,17939430,12711517,12711516,17939426,13356953,13356950,268293317,255207089,12711512,10038018,10038019,9128351,5973599,5973598,6596752,6596775,6596776,10038070,8636579,8636580,12711500,8700176,8700175,12796662,9381272,6145907,5663070,5663069,4132662,2472137,1429029,812978,812979,1429033,1429074,1429073,2472217,2472223,4132802,6596765,10037762,14587781,10037987,6596728,254697799,10037665,14587762,14587910,10037787,10037786,14587907,254987189,6596731,4132783,4132784,5650377,5650375,4132644,2472127,1429025,1429026,2472129,4132649,6596507,10037691,12796770,12796769,12796397,8699994,8699993,6596570,6596571,6596718,6596719,10037971,11124935,7378928,4661706,2808454,2808455,4661709,4661641,4661629,2808410,1629228,926421,522180,522179,926417,1429039,812992,812994,1429067,2472208,4132781,254319209,2472156,4132692,6596584,10037791,10037655,6596482,4132630,4132631,4661586,254523989,7378814,8700004,5662910,3521996,3521995,5662907,8700001,11124887,7378890,7378891,255075897,14588113,10037955,6596706,4132765,4132766,6596708,10037957,7378808,7378807,11124689,11124688,10037945,6596699,4132762,2472198,2472197,4132760,4132778,254697797,254987163,6596561,4132681,4132682,6596567,10037770,14587889,16022569,11124834,11124833,14587743,255343793,16022741,255074444,4661713,4661714,5662901,4661693,2808442,1629244,1629247,2808450,4661701,7378920,11124910,16022704,14207222,9766663,9766661,14207218,10037805,10037806,14587922,10037796,6596590,6596592,10037802,9766760,9766759,14207327,14207081,11124845,11124846,14206605,9766217,9766216,14206602,9766570,9766571,7378866,4661665,2808427,1629238,1629236,2808424,4028508,6421465,9766445,6421289,6421291,9766450,14206905,19832239,19832210,14206874,9766434,6421285,6421284,9766430,14206887,11124821,11124820,16022595,22139713,26645395,255315435,9766371,6421251,6421252,9766375,14206803,19832111,14207143,14207142,19832513,18050601,12796388,8699986,8699987,10634074,7019742,7019741,10634070,14206710,9766289,6421197,4028372,2413940,1397297,1397296,2413948,4028389,6421244,9766356,7378845,4661652,4661650,7378840,11124802,16022575,19831921,14206617,9766441,6421287,6421286,9766438,14206895,12794791,8698788,8698789,12794793,255606605,24564122,18124630,12851918,12851917,18124628,254663422,24566298,18126262,12853096,12730797,8740586,8740587,12853273,18126477,24566499,24566321,18126279,15406147,10648659,8840389,5761327,3588398,3539449,2106954,2106953,3539446,5689643,5662172,3521556,2094985,1205483,679501,679503,1205490,2095000,3521244,5661732,8698273,12794083,18047821,13357140,9128477,8739592,5689627,5689625,8739584,11257071,11257073,15360449,15360450,10659195,7039078,7039079,10659198,7155810,7155809,10826555,255032654,24793918,18310548,12997954,12997953,18310546,24793915,32420059,27029853,20137261,20137262,24318917,17932288,12706075,8632676,8632677,12706077,12794977,12796315,8849203,5767388,3592359,3592361,5767389,5767414,267887824,18310568,21337553,16022524,12794886,8698861,5767370,3592353,3592354,5767373,8849178,255230165,24793867,18772289,18772290,24793860,32033019,24470627,19832651,19832652,24470638,21399333,255035670,25075189,25966040,24327535,24327536,25427201,18833780,13418776,13418777,268945490 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 654047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 654047, s2 = 11328886, int(edited[s2]) = 0 s1 = 654047, s2 = 11328886, d1 = 3, d2 = 38 Dl.O(d1) = 16691052 Dl.O(d2) = 263622623,202020167,274210009,219486981,216196180,212626480,212225387,207365748,273701940,186298926,262654482,128602469,114705762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 654047, s2 = 11328886, dlinesl.size( ) = 8 s1 = 15156919, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655882, s2 = 654776, int(edited[s2]) = 0 s1 = 11655882, s2 = 654776, d1 = 6, d2 = 6 Dl.O(d1) = 11875202,7938362,7938363,5067446,5067445,7965153,11908174,12002653,12002652,16976240,11891419,7951142,5057034,3063771,3063773,5057042,7951165,9168554,6000904,6000902,9168578,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337363,17011210,16246890,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,5057892,3064361,3064359,5057879,7952321,7952062,7952061,11892605,254825340,11892621,7952073,7952074,11892624,16979414,267769762,16954312,16954313,16961172,254384204,7936586,5090391,5090393,7996469,7942737,7942735,11881048,11857173,7924336,7924335,11857167,11876507,11876506,12011392,12011394,16963782,11877941,11877942,11878623,7940994,7940993,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016561,1016563,1782620,3058258,5048190,7938071,7979579,7979578,11874511,11871143,7958092,7930306,5041355,3052174,3052179,5041370,7930334,7935891,7935889,11872270,16960363,11896687,7955409,7955410,7791628,7791627,11680903,7967046,5068949,3072610,1792032,1792033,3072612,5052411,5052410,7944477,7956907,7956911,11898366,11892676,7952113,5057721,3064263,1786283,1786282,3064245,5053035,3061285,1784515,1017652,573567,573568,1017656,1784524,254377303,7945635,8071589,5165373,3147658,1841248,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073719,5073838,7973474,7955590,7955592,5060545,5060541,7944079,7944076,7797368,7797365,7944041,7960396,7957067,7957068,11898562,11673312,7782257,4932634,4932636,7782262,7982673,7959240,5062840,3067592,3067593,5062846,7959253,7959222,7959221,11889102,11881661,7943224,5051606,5051607,7943228,8001725,11953182,16974224,11886866,7947112,7947113,11886870,254821502,7980693,5079226,3080762,3080763,5079230,5080063,3081216,3081215,5078191,5080048,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337363,17011210,16246890,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,5057892,3064361,3064359,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052960,7945432,11884605,16961984,16972134,11884570,11671021,11671020,11671019,7780203,7780202,11671017,16712653 Dl.O(d2) = 11875202,7938362,7938363,5067446,5067445,7965153,11908174,12002653,12002652,16976240,11891419,7951142,5057034,3063771,3063773,5057042,7951165,9168554,6000904,6000902,9168578,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337363,17011210,16246890,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,5057892,3064361,3064359,5057879,7952321,7952062,7952061,11892605,254825340,11892621,7952073,7952074,11892624,16979414,267769762,16954312,16954313,16961172,254384204,7936586,5090391,5090393,7996469,7942737,7942735,11881048,11857173,7924336,7924335,11857167,11876507,11876506,12011392,12011394,16963782,11877941,11877942,11878623,7940994,7940993,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016561,1016563,1782620,3058258,5048190,7938071,7979579,7979578,11874511,11871143,7958092,7930306,5041355,3052174,3052179,5041370,7930334,7935891,7935889,11872270,16960363,11896687,7955409,7955410,7791628,7791627,11680903,7967046,5068949,3072610,1792032,1792033,3072612,5052411,5052410,7944477,7956907,7956911,11898366,11892676,7952113,5057721,3064263,1786283,1786282,3064245,5053035,3061285,1784515,1017652,573567,573568,1017656,1784524,254377303,7945635,8071589,5165373,3147658,1841248,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073719,5073838,7973474,7955590,7955592,5060545,5060541,7944079,7944076,7797368,7797365,7944041,7960396,7957067,7957068,11898562,11673312,7782257,4932634,4932636,7782262,7982673,7959240,5062840,3067592,3067593,5062846,7959253,7959222,7959221,11889102,11881661,7943224,5051606,5051607,7943228,8001725,11953182,16974224,11886866,7947112,7947113,11886870,254821502,7980693,5079226,3080762,3080763,5079230,5080063,3081216,3081215,5078191,5080048,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337363,17011210,16246890,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,5057892,3064361,3064359,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052960,7945432,11884605,16961984,16972134,11884570,11671021,11671020,11671019,7780203,7780202,11671017,16712653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655882, s2 = 654776, dlinesl.size( ) = 2 s1 = 11655882, s2 = 654776, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11655882, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 593756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7601312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7601312, s2 = 10995884, int(edited[s2]) = 0 s1 = 7601312, s2 = 10995884, d1 = 35, d2 = 31 Dl.O(d1) = 268969268,16744581,11699721,11699722,16744582,22981904,30384152,38970441 Dl.O(d2) = 261700452,259355307,71946839,59207982,47808719,256916348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7601312, s2 = 10995884, dlinesl.size( ) = 2 s1 = 7601312, s2 = 10995884, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7601312, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 13277565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13277565, s2 = 13278218, int(edited[s2]) = 0 s1 = 13277565, s2 = 13278218, d1 = 14, d2 = 50 Dl.O(d1) = 2993997,1738599,254247873,2994326,2994328,2994320,2994324,254553897,2994490,2994489,4959328,7816977,7817013,4959654,2994774,1739145,1739144,2994773,254553973,254806363,7817210,7817232,4959558,2994688,2994689,4959559,2994810,2994811,4959322,2994485,1738917,988182,555949,555950,988188,1738926,2994511,4959363,4959412,7817107,11715659,15525748,11715787,11715788,16763199 Dl.O(d2) = 11715284,11715285,16762476,15252865,10522782,6939764,6939765,10522786,11715291,11715290,16762559,16762703,23002421,30407402,255531341,15926086,15926083,22027018,29357422,23108801,16850497,11784330,11784331,16850503,23108809,23811754,17477899 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 701020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 701020, s2 = 15054535, int(edited[s2]) = 0 s1 = 701020, s2 = 15054535, d1 = 0, d2 = 17 Dl.O(d1) = 17868791,13454042,9200753,6023912,3768602,2258012,2258013,3768609,6023931,9200790,13454118,13453960,13166029,8974347,8974346,11754105,7848090,4981833,3009430,3009427,4981819,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,1310817,748364,425339,425337,748345,1310766,2258351,3769249,6025060,9202719,11287551,16235502,22395386,29755910,25484996,18882094,18882093,25484993,23176659,23176660,23295645,23295646,30712129,25244402,18674282,18674283,25244404,32401159,24777537,18297377,18297378,24777541,32401167,41225129,49096518,39166356,30568582,30568583,39166358,49096521,49239991,39313200,39313202,42005087,33061395,33061396,39309763,39309764,49236528,51422129,51422116,257734781,48057587,41225096,41225095,39309770,30712108,30712107,29505236,22165402,22165403,29505241,38068614,46622332,38155879,38155880,48068596,50243131,50243129,50243153,40222968,31536673,31536671,40222964,40668821,31942446,31942447,40668817,50741885,62278073,60242923,48849418,48849419,48849421,38929462,268223752,7776367,7776364,7774674,7774673,7776024,4927990,2972455,1724940,980647,552200,309069,309067,308638,308639,170902,94087,94088,170905,308944,551968,980257,1724325,1725057,1725058,1723061,979430,979429,1723059,2969629,3782095,2265626,2265627,1725159,254246815,4928568,7776800,268096073,22936451,30337463,23006700,16767027,16767030,23006707,30411739,38629774,30055697,22679183,22679186,30055705,38629788,48544640,59937240,48566126,48566119,38650758,30074666,30074667,36607496,46473733,46473783,48435524,38527562,38527561,33356689,25596109,25596107,33356679,38930613,39306964,256386947,22176264,16051049,11145020,11145021,16051051,22176270,29518461,38083053,47995324,48192925,48192578,38283243,29716621,255467723,16207876,22360690,29716624,31318141,31318140,33815498,42856840,35231245,35231246,38920667,257189225,49774735,39756085,33347778,33347779,33815442,25998583,19326691,254945189,9478397,13820397,14516766,19327073,13820615,9478522,9478523,13820619,16705634,16705633,19327017,19327016,25999101,25998848,19326871,13820506,9478447,6215197,6215198,9478449,13820511,17109597,12023383,12023384,17109601,23379630,30807936,268239954,60745793 Dl.O(d2) = 101111628,259442128,155143364,159135584,146761873,260851467,259011599,77258233,91176656,260851465,138726495,125402831,112582170,112582168,98588345,84664696,84664693,270288098,126450922,260516952,159135585,261705121,140780372,152903028,261177566,127225746,263128157,185632594,261466966,153714432,259908920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 701020, s2 = 15054535, dlinesl.size( ) = 18 s1 = 657180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 657180, s2 = 2863220, int(edited[s2]) = 0 s1 = 657180, s2 = 2863220, d1 = 0, d2 = 10 Dl.O(d1) = 16781054 Dl.O(d2) = 85674895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 657180, s2 = 2863220, dlinesl.size( ) = 34 s1 = 10155535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10145924, s2 = 8706020, int(edited[s2]) = 0 s1 = 10145924, s2 = 8706020, d1 = 57, d2 = 59 Dl.O(d1) = 257061554,52690933,42304092,33323374,25561721,25561722,18949794,18949795,23160044,23160045,23433926,28476780,21257643,21257645,28476783,268442117,17575431,12403607,12403603,267932662,8367265,8362782,5397732,5197609,3171112,1856396,1856397,3171119,5197624,8112916,7902704,5023509,5023513,6054845,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,8286500,255168023,23737110,19834290,19834291,15847159,15847160,21934788,29255691,31191161,23701383,17379066,17379067,255587268,17800824,12600808,8551117,5549287,3434696,2031689,2031688,3434695,5549285,8551115,254871414,254813348,31619109,25077684,18534567,13169472,8977090,5860565,3658610,2188796,2188794,3658604,5860549,8977065,13169435,14331862,9845317,6466243,4224855,4224854,2526245,2526246,4224885,6742298,10260289,14921094,16548739,13418807,9174772,7459432,4713580,4713581,4712833,4712836,7458314,11237416,12611529,15340355,21310261,15737036,10899140,7208449,4541902,2730318,1582046,1582045,2730314,4541893,7208427,10899099,15736909,15736934,16548734,13417888,10900028,7208949,4542150,2730440,2730439,4542146,7208938,8092248,5184507,3163021,3163020,5184502,8092238,12036843,17127588,23399609,28848203,28848204,37388230,34692488,26697877,19877321,255219018,9790219,9790220,255318747,256206179,43967742,54711568,66970755,80401180,94460815,103831128,89725753,75946601,75946602,89725756,89725712,75946568,75946567,89725709,257466102,91685284,77758175,64575548,57622709 Dl.O(d2) = 263802715,205541389,210695794,214906293,218370895,221282704,223776921,265010824,225394605,225394612,225394611,227365611,225394609,225394606,223127256,223127255,220503032,217418018,213719494,209212708,263188232,197148598,197148597,197148600,189447681,180541905,170409627,159075876,146712405,133465946,126862572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10145924, s2 = 8706020, dlinesl.size( ) = 24 s1 = 8211821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8211821, s2 = 8112870, int(edited[s2]) = 0 s1 = 8211821, s2 = 8112870, d1 = 15, d2 = 4 Dl.O(d1) = 189134418,189134419,196877562,189134417,180193723,180193724,189134419,196877564,263806074,201862484,262697946,115621866,101581795,87614776,87614777,86470577,86470574,259357738,101581768,87614756,258108920,259357736,142823142,129506550,115621879,114452380,100427768,86470594,258176332,48743200,38823001,30239756,22846388,16622837,16622838,22846390,30239760,38823008,257567437,258799397,100427778,114452389,119227609,105034990,90856020,76977670,63866466,52047051,41732236,32811708,32811709,41660268,268733614,76893272,90772165,259000212,121723795,107342777,92938189,78831616,257842217,43000836,33945024,33945023,43000833,48987808,39064281,30472484,254907956,11757430,11757429,11757867,7851827,4983772 Dl.O(d2) = 6418936,4026988,2413158,1396814,794779,450371,253654,253652,450369,794775,1396805,2413143,4026957,3985753,2388892,1382891,1382890,2388888,3985746,6352214,9659803,13971153,13971150,19517457,26233690,34095973,26403771,19669380,14099691,9697751,9697752,14099693,19669384,25866789,23418716,17142513,12047707,12047706,17142510,23418712,30848988,254275890,16580508,22797377,17328234,12203257,12203255,12340111,12340109,12681143,8612946,8612944,12681138,17901329,24281932,17946746,14041304,14041303,17142155,23418325,23710833,17387309,17387310,18337458,18337459,17829505,17829504,24198721,25544606,22649250,22649251,22402994,22402995,17813148,12611339,12611338,17813147,24181488,24086763,17729444,17729445,24086764,31265073,28348329,23811842,23154469,16893166,16893165,19228543,13736393,13736392,12232736,12232737,17362859,17430735,15486837,15486836,21492829,17829077,17362826,12232716,8259969,5328957,5328955,8259966,10437641,6880770,5570264,5570265,8574386,12628917,17716603,17716605,16885944,12588620,8540733,8540736,12588632,12543717,8503131,8503128,12543697,12543695,17729854,17729982,17729981,17780845,19700787,16889331,16889327,17824664,17704736,17704739,17813999,17770851,17770850,23681499,17422491,12279825,12253644,12253645,17388805,12575961,8574174,8574173,12232685,12555051,8512309,8512311,8510888,8510884,12552717,12555175,17738348,17738352,17753044,17753042,12589766,8541421,8541425,12589760,12539082,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588861,12586377,8538685,8538683,5598701,3858093,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,5331041,3276864,3276860,5331029,8262915,12237045,11739198,11739196,16789046,23031918,24205210,24120047,23780534,23780533,24178709,31687557,254414956,23148081,17738922,17738921,24097555,22180908,22180909,29523407,30849295,29523399,22180903,16054627,16054628,22180906,29523403,31264831,26040482,24281936,17901332,17901335,17787625,17787623,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,8297040,5511321,5511318,8511939,12554441,17743254,17704501,12522907,8484762,5485450,5485446,8484748,12522884,17704472,254140140,17775622,12580031,12580030,17738464,19699835,18337439,13017229,8862982,8862981,13017224,18337432,24060398,17705507,12523914,8485853,8485852,12523912,17705505,24060394,24085129,31589457,24139963,17775670,12580063,8533085,5531076,3416663,2017010,1153886,647329,647331,1153863,2016960,3416564,5530871,4012054,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148398,20148395,17787937,17787940,12608075,8556988,8556990,8551656,8551654,12531990,17715285,24071554,24183994,17815601,17815602,24183996,22322290,22322291,17730334,12543987,12543988,17362955,23683184,31170924,24156063,254612988,40359178,267913450,22715547,16511187,16511186,17788017,12589913,8541509,8541503,12589898,17787993,12623591,8569742,5565478,5565479,8569747,12623596,17828257,24183961,17815560,17815562,17726504,12541353,12541354,17726508,12622122,8568312,5563914,5563915,8568314,12622126,13418399,9174516,9174517,13418401,17726127,12541099,10411668,8566644,8566645,12620095,12532839,8494349,5495540,5495538,8494341,8563727,12616039,17818960,24187502,17832851,17832850,21560126,18931879,18931882,16170839,16170841,17824465,24186924,17818347,17750637,12559500,8515135,5513398,5513401,8515145,12252082,17386759,12588786,8540828,8540829,6004885,6004882,8274684,8274685,12252100,12532994,8494596,8494595,12532992,17716384,12579317,12579315,254605854,17786368,17786369,17786396,17813271,17813272,17422341,17422342,20148145,20148146,16888510,16888509,17740429,16605965,11581566,11581567,8529860,5527935,3413916,3413915,5527933,8529853,12576472,17771351,17716015,17716014,24072454,23041671,17745878,17745877,267847416,31638981,26650396,19836788,19836787,26650395,31646279,24139744,23767874,23767872,19704118,19704117,22826873,30219128,23040448,16795545,11743594,7840701,7840700,11743588,16795537,17819594,24181266,20015611,14335212,12543872,12543870,14455345,14455343,17714827,17714826,24071071,20148711,14453598,14453597,20148708,20151060,27043641,27043646,27043645,23040528,23040529,30448382,24138909,17774643,12579324,12579322,17774639,15107866,10420330,10420328,15107859,21034026,24083296,24083297,22664335,22664334,22827055,16606112,11581679,7708848,4878699,2939656,1704684,969008,545755,545753,969004,1704677,2939648,4878679,7708811,11581598,12539969,9945144,9945145,11475191,7632844,4828972,4828973,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,9945615,6536605,4095446,2450088,1416544,1416543,2450083,1416554,1416553,2450110,4095496,6536724,9945801,14456640,20150251,20150250,20150240,14454768,14454769,14454843,9944667,6536044,6536045,9944673,14454853,20150350,20150360,20150361,17798605,12599122,12599120,17798597,16796111,16796110,23041036,19702337,19702336,24697862,18833264,13418361,13418362,18833270,16605615,11581346,11581345,16605612,22826428,20151914,14456111,14456110,20151909,27044393,29096068,37645128,47550535,38234156,29668395,22316825,17376189,12244265,8269441,8269442,12244268,16172258,16163726,16163727,14128689,9720032,9720030,14128669,19704873,26444001,29668405,22316835,16171673,14127126,9719129,9719128,6393724,4012381,2727299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8211821, s2 = 8112870, dlinesl.size( ) = 16 s1 = 9689340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9682092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9682092, s2 = 14162407, int(edited[s2]) = 0 s1 = 9682092, s2 = 14162407, d1 = 2, d2 = 7 Dl.O(d1) = 254364513,1703263,968188,968189,1703269,2937194,4874437,7146447,255851747,255324527,9875453,9875452,14369543,20055240,26941219,29077002,21779088,20059615,14374997,9880985,7702635,4874919,2937468,2937469,4071468,2436264,2436266,4071472,6497646,7200619,255054441,21784250,256355365,47538274,258086627,61239871,270376117,101592015,260668103,100918315,86936524,73326357,73326358,86936527,100918322,258876109 Dl.O(d2) = 49960841,39943957,31269216,23784037,17453708,12303909,8310345,8310346,12303911,12303905,268110799,17453692,254846887,5362183,3296341,1938711,1107402,1107401,1938708,3296335,5362176,8310329,12303894,17453688,22213927,16082302,254768875,4681873,2820900,1636576,930619,524522,254086215,49136,49135,254099869,254236059,4681839,7409526,7409530,11168635,255456449,29559412,256932665,255960825,16840161,16840160,255960823,39108120,49037933,60441914,59496049,59496048,62158086,50648968,46904101,37026609,28528622,28528623,37026610,29628904,22277007,22277008,29628906,38195953,48107517,269760826,52382207,42038293,33090263,25357261,25357262,33090265,29559463,22213913,16082289,11168662,255456451,256390487,30860560,23429972,17153144,17153143,23429971,30860559,39464831,37766917,37766916,34573328,26586596,26586597,29299486,21972549,255876925,37868926,47361607,37455450,256009306,47793673,47793672,39254139,37868919,29299483,29299482,32242736,41035026,48060079,47422849,37515084,28971662,256888153,40057436,40057435,40057425,31375169,23878993,255189004,40057422,50078680,40057383,31375133,23878968,23878967,31375132,34573290,26586550,19782355,19782356,26586551,23879000,17533639,17533638,19782287,19782286,26586461,34573230,34573459,255724853,9741161,9741159,14169531,14169530,19782361,26586558,34573301,43844732,34573277,26586535,26586534,34573266,26586511,26586510,23233290,16960448,11872354,11872355,16960450,23233293,26586526,26586523,19782337,14169514,9741089,6405328,4018589,4018591,254680291,14169522,19782350,26586542,26586578,26586577,24937471,24937472,32599715,34573432,26586689,19782480,19782481,19782485,14169615,14169614,19782482,267808552,254293780,47346766,37439707,29725101,27284270,27284271,30164081,254487000,22770114,30158274,257777105,77334552,91254100,105476363,104336402,104336403,104437508,90286799,76457178,63413806,51671164,41429567,32569351,255633083,13076595,255235187,24916482,255565685,17519617,23863699,26746594,34773827,33312513,25802629,19156189,13678874,13678875,19156192,25802636,27137678,20230784,20230782,18300238,18300236,24781182,25820278,19170013,13689305,13689306,19170018,19349041,13838234,13838231,18165708,13689297,13689295,19169991,18836457,18835053,13419730,13419732,9298097,9298096,8751365,5697763,5697760,8751356,12868360,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837851,9713693,9713692,14118757,18147380,24593445,32180162,40959065,256695738,89441137,103537009,259095780,260343968,261506476,260343960,168548928,178851478,187946973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9682092, s2 = 14162407, dlinesl.size( ) = 2 s1 = 9682092, s2 = 14162407, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9682092, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 1157857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817374, s2 = 14500830, int(edited[s2]) = 0 s1 = 6817374, s2 = 14500830, d1 = 6, d2 = 6 Dl.O(d1) = 258818358,30516044,23100022,16843716,16843717,254557048,254249224 Dl.O(d2) = 258818358,30516044,23100022,16843716,16843717,254557048,254249224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6817374, s2 = 14500830, dlinesl.size( ) = 2 s1 = 6817374, s2 = 14500830, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6817374, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14500829, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7569982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6433731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 661445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6881794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6881794, s2 = 11124941, int(edited[s2]) = 0 s1 = 6881794, s2 = 11124941, d1 = 32, d2 = 22 Dl.O(d1) = 259610379,80381826,259766573,259738004,116224932,102163919,88173121,74558194,74558195,66913979,54657166,54657167,257886044,76354903,90183320,76354894,63323402,51599616,41374457,32525187 Dl.O(d2) = 41374441,51599597,63323390,63323368,257265272,32525169,24881623,18383382,13057660,8897657,5805970,254633891,13057664,18383389,24881637,32525189,41374458,256283684,36641611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6881794, s2 = 11124941, dlinesl.size( ) = 18 s1 = 6733515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6465300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6465300, s2 = 6421210, int(edited[s2]) = 0 s1 = 6465300, s2 = 6421210, d1 = 14, d2 = 10 Dl.O(d1) = 254813982,254560090 Dl.O(d2) = 254128901,568862,568863,1009415,1771199,3041577,5024991,5285554,3237882,3237881,5285552,8215044,12183949,11826570,11259993,11259995,16198120,22348149,16902554,11828718,7905059,7905060,11826550,11259978,11259979,11111166,7369263,7369264,11111168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6465300, s2 = 6421210, dlinesl.size( ) = 2 s1 = 6465300, s2 = 6421210, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6465300, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 7999773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8127458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8127458, s2 = 1210847, int(edited[s2]) = 0 s1 = 8127458, s2 = 1210847, d1 = 111, d2 = 18 Dl.O(d1) = 258101248,268149819,13634174,19096706,24640996,19221160,19221157,25880283,21624883,15594181,255358208,4487305,4487306,7127551,10787750,7916659,5033040,5033038,7916656,11845059 Dl.O(d2) = 30610542 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162854, s2 = 13347404, int(edited[s2]) = 0 s1 = 14162854, s2 = 13347404, d1 = 1, d2 = 1 Dl.O(d1) = 9219791,13478436,18909904,25519547,28968621,21686737,21686738,28968624,37511971,47419714,58806996,59503473,48115698,48115697,59503472,72238514,85830676,72657450,72657449,86257948,85830662,85830663,72238485,59917417,48523845,46447056,42455594,42455593,52859546,62027833,59478999,59478998,72216035,70346149,70346150,83871412,70910010,70910009,84466245,74868194,74868195,88504320,102512372,102512339,95126999,95127000,88504368,74868241,62069960,50577753,40541636,31843543,24323898,17936228,17936227,24323894,31843536,40541624,50577734,62069935,67600682,55258981,55258982,67600684,257108008,61256858,74036826,87640417,81068838,67600675,55258975,55258959,55258958,67600649,81068813,70453272,70453271,83981194,73412929,73412930,67589584,67589583,81057040,81054678,67587142,67587144,68112650,55716281,44809819,44809820,46407474,57758244,70453314,269495134,55245458,44397415,35021982,35021981,44397413,50577773,40541649,40541648,257691221,55247830,257131578,63134809,51436985,41239041,255653528,42455573,49090958,39318871,39318872,49245790,51437008,63134825,52829398,52829397,52829368,42425151,33554180,25764564,19124979,13655148,13655149,19124981,25764571,33554194,42571232,37726313,256173584,15785315,11120912,11120913,15785600,10935809,10935783,255058793,15785282,10935723,7235699,4561393,2743073,2743074,4561395,7235704,10935727,15785491,21857351,21857360,21857377,15785569,15785570,268393917,37726746,256157514,35084548,256157512,58561411,49308456,47152566,37247249,255406810,19075535,25231918,25231919,20903659,14998969,14998970,255789763,13316469,13316468,254707161,6775400,10303431,14969567,14969568,255787053,36503158,46361274,57710583,257419443,36877373,28381022,28381023,36877375,36594463,28121347,28121346,36594461,46460701,57816790,60621387,49873820,47896808,47896807,59292383,61545920,50067929,40048584,31368158,268319309,9611356,9611355,13990949,19539504,23873358,17529034,17529033,23873356,23873403,19545520,13995863,9615042,9615041,13995861,19545519,19545619,19545620,22544022,22544021,256181683,23873439,17529090,17529091,19545522,13995865,9615043,6315570,3958451,3958450,254674557,13995855,19545507,21789673,15731661,15731662,255333332,19545229,19545228,26265469,19547063,19547062,26267561,34134008,36881699,36881698,36881732,28385166,21167082,21167083,28385169,28378869,21161430,15205063,15205064,21161434,28378872,34131857,26265362,19545154,13995608,13991835,9611988,6313492,3957098,254210911,780954,442821,249429,137725,137726,249431,442825,780961,1371899,2369840,3957127,6313542,267940503,6313300,9611524,6313152,6313151,9611521,6313375,268263836,16808708,11753997,11753999,16808712,23055133,23160776,23160775,23060030,16812320,13826712,13826711,10578381,10578380,15315853,10578370,10578369,15316069,21278128,15315944,15315941,15222580,15222578,21184196,21174692,255052254,6920977,6920981,10495624,15215355,21174719,22601176,25033007,255814844,15215623,10495784,10495782,15215620,21175100,28394915,257800415,77778775,91706311,103495104,103495105,258326860,64420069,52545991,43047078,33988375,26147534,19449407,255254782,33988373,43047074,53526773,53526771,43047071,43047072,53526772,65551578,53526771,53526770,65551577,78886473,92996709,98267734,86249914,72648606,59908016,59908017,70801079,70801081,58084363,58084362,70801104,74226876,70800862,65979500,53912277,53912278,65979502,67585882,55244281,44396198,35020844,26939983,20054129,14368567,9874685,254648580,20054127,23205853,16935317,11852745,7921891,5036397,3049364,3049365,5036399,7921896,11852752,16935328,16935160,11852646,7921839,7921840,11852648,16935165,11852738,11852739,255624562,11852807,7921932,7921933,11852809,16935431,23205657,30628296,30628828,30628827,23206120,16935519,16935517,16935518,21460766,21460765,21460764,255800668,37247533,37247549,36693619,28203510,21011642,21011641,28203507,36693617,36693612,28203504,21675366,21675365,28956471,37499247,46579891,53723993,43212097,34124648,26259069,19540055,15227149,15216195,10819964,255048053,7151384,4503505,2706338,2706337,4503502,7151377,10820969,15637096,21675364,28956469,36895546,28398072,21177876,15217761,15217759,21177872,28398067,28407322,21186113,21186112,15226436,10503016,10503015,15216531,11315000,7512935,254356573,2862249,4749285,7512938,11315005,16272529,21182949,16352720,16352717,11379595,7560269,4780580,2880856,2880854,4780570,3009154,1747973,1747972,993970,993969,1747995,3009197,4981371,7847335,11752845,254606148,23053099,254866054,21183699,21183698,28404664,30139320,22753519,16542434,11529363,7669768,4852843,4852842,7669766,9798066,9798068,14255113,19899392,14600783,10046675,6602056,4135973,2474057,2474056,4135972,6602053,10046667,14600768,20343121,20343119,255763301,35404693,44830228,55737934,68135846,81625786,70696405,70407731,70407732,256751682,70793421,58076048,58076047,49919821,49919820,256549026,58076101,46704035,36821443,28326163,28326162,36533949,36533948,39900111,39900110,49919838,61399951,74180232,256751684,46703948,36821371,36821372,46703950,49919844,39900139,268339744,28326166,28326167,36821450,46704040,55745606,44837854,42725421,37166493,33757901,25950038,255164682,42788781,49901139,43187874,38601690,30028446,22654730,16462177,11470160,11470159,16462175,22654724,30028440,38601683,48516398,53818424,47999509,38087802,255189232,17828921,12624184,8570285,5566055,5566054,8570281,12624180,15784239,10934797,7235040,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12589622,12589623,13738372,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,11147909,12280738,12280740,14334664,14334666,17493399,12334361,8332501,5377942,5377945,8332512,12232579,11147632,11147631,16054940,22181274,28752417,21492703,15486750,10709325,10709324,15486745,17361413,23681605,31169758,39851575,31583198,30448973,23041372,16796412,11744188,7841038,7841040,11744191,16796415,23041379,30448976,25544615,25544614,24183082,254604528,11147322,7393662,7393660,8575558,8575557,8575043,8575042,12629708,17361573,12231792,12231793,12232414,12232413,17362443,17362603,12232595,12232594,12630451,17836516,17704467,12522882,12522881,12565969,8521013,8521012,12565965,17362471,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405535,254277576,12565486,17757539,17422369,12279727,8293149,8293148,8293392,8289778,8289777,12275071,17415944,254105576,8293900,5350743,254184564,1104671,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4879421,6509122,6509118,9903231,12280769,12280770,254590310,31232653,256008626,12275057,12275056,255556395,17415907,17415906,23740098,31223363,31223359,23740137,17415934,12275063,8289772,5347864,3286616,1932721,1932720,3286613,5347859,8289763,12275047,17415903,23740092,31223350,23740089,23740088,31223352,39900104,256511721,23740085,23740084,31223344,23740129,23740130,31223403,39900158,49919864,39900151,257058461,48772417,256946300,30268439,38852590,38852588,257570017,259426001,74180252,74180250,87784990,87784992,87784993,101758382,113328255,127187246,113328252,99325323,85381083,85381082,99325321,113328251,99325325,257905800,85381089,85381090,99325332,85381094,85381095,259155378,127187247,271657314,87926555,74323450,61547312,61547311,71792276,59051031,269798685,59021754,59021753,70793419,269305281,36821366,37728049,47649845,37728058,37728057,47649850,37728066,29168011,29168010,37728064,47649867,47649857,37728060,256413000,10936631,7236360,7236359,10936630,15786579,21858767,29167998,37728047,47649841,47649839,269329377,61547297,50069313,50069315,50069321,40050109,31369615,31369616,31369602,31369601,40050091,50069320,61547303,74323445,73530137,257612665,39453429,39453428,49381460,47923912,38008901,38008902,47923914,59316990,72051818,74323441,258885105,65980582,53913454,43389301,43389302,53913456,61848503,58078627,58078628,58078630,46706873,40519772,255566944,17922136,17922135,268692465,50556217,58078633,58078606,46706849,36824672,28329131,28329130,28329156,21118620,15171680,10463548,6897232,6897233,10463550,15171683,21118625,28329169,36824711,46706848,46706875,269305357,40336807,31648182,256544593,40336811,257675721,268688073,24141963,17777579,12581843,8534871,8534872,12581846,17777585,24141973,31648189,40336817,50363975,40336730,40336729,40336738,31648127,24141935,17777564,17777563,24141933,17777588,12581848,8534874,5533039,3418595,3418594,5533036,8534868,12581834,17777566,24141939,31648132,40336747,50363986,257092555,40336762,50364000,61848447,50363995,50363996,46759486,36880764,28384252,28384251,36880762,31648149,24141948,17777571,17777570,24141945,31648144,40336748,31648133,31648134,40336751,50363991,61848441,61848442,61848483,61848469,50364017,40336775,31648155,31648156,40336777,50364021,61848475,74641083,74641077,70860448,70860410,257455412,46778754,46778755,58146283,70860191,58146131,58146132,70860195,84417589,71050984,58335210,58335209,60623651,73369283,73603533,85505372,77772107,64589341,52688825,42302043,33321344,33321345,42302048,42302051,52688838,64589366,70860466,70860464 Dl.O(d2) = 9219791,13478436,18909904,25519547,28968621,21686737,21686738,28968624,37511971,47419714,58806996,59503473,48115698,48115697,59503472,72238514,85830676,72657450,72657449,86257948,85830662,85830663,72238485,59917417,48523845,46447056,42455594,42455593,52859546,62027833,59478999,59478998,72216035,70346149,70346150,83871412,70910010,70910009,84466245,74868194,74868195,88504320,102512372,102512339,95126999,95127000,88504368,74868241,62069960,50577753,40541636,31843543,24323898,17936228,17936227,24323894,31843536,40541624,50577734,62069935,67600682,55258981,55258982,67600684,257108008,61256858,74036826,87640417,81068838,67600675,55258975,55258959,55258958,67600649,81068813,70453272,70453271,83981194,73412929,73412930,67589584,67589583,81057040,81054678,67587142,67587144,68112650,55716281,44809819,44809820,46407474,57758244,70453314,269495134,55245458,44397415,35021982,35021981,44397413,50577773,40541649,40541648,257691221,55247830,257131578,63134809,51436985,41239041,255653528,42455573,49090958,39318871,39318872,49245790,51437008,63134825,52829398,52829397,52829368,42425151,33554180,25764564,19124979,13655148,13655149,19124981,25764571,33554194,42571232,37726313,256173584,15785315,11120912,11120913,15785600,10935809,10935783,255058793,15785282,10935723,7235699,4561393,2743073,2743074,4561395,7235704,10935727,15785491,21857351,21857360,21857377,15785569,15785570,268393917,37726746,256157514,35084548,256157512,58561411,49308456,47152566,37247249,255406810,19075535,25231918,25231919,20903659,14998969,14998970,255789763,13316469,13316468,254707161,6775400,10303431,14969567,14969568,255787053,36503158,46361274,57710583,257419443,36877373,28381022,28381023,36877375,36594463,28121347,28121346,36594461,46460701,57816790,60621387,49873820,47896808,47896807,59292383,61545920,50067929,40048584,31368158,268319309,9611356,9611355,13990949,19539504,23873358,17529034,17529033,23873356,23873403,19545520,13995863,9615042,9615041,13995861,19545519,19545619,19545620,22544022,22544021,256181683,23873439,17529090,17529091,19545522,13995865,9615043,6315570,3958451,3958450,254674557,13995855,19545507,21789673,15731661,15731662,255333332,19545229,19545228,26265469,19547063,19547062,26267561,34134008,36881699,36881698,36881732,28385166,21167082,21167083,28385169,28378869,21161430,15205063,15205064,21161434,28378872,34131857,26265362,19545154,13995608,13991835,9611988,6313492,3957098,254210911,780954,442821,249429,137725,137726,249431,442825,780961,1371899,2369840,3957127,6313542,267940503,6313300,9611524,6313152,6313151,9611521,6313375,268263836,16808708,11753997,11753999,16808712,23055133,23160776,23160775,23060030,16812320,13826712,13826711,10578381,10578380,15315853,10578370,10578369,15316069,21278128,15315944,15315941,15222580,15222578,21184196,21174692,255052254,6920977,6920981,10495624,15215355,21174719,22601176,25033007,255814844,15215623,10495784,10495782,15215620,21175100,28394915,257800415,77778775,91706311,103495104,103495105,258326860,64420069,52545991,43047078,33988375,26147534,19449407,255254782,33988373,43047074,53526773,53526771,43047071,43047072,53526772,65551578,53526771,53526770,65551577,78886473,92996709,98267734,86249914,72648606,59908016,59908017,70801079,70801081,58084363,58084362,70801104,74226876,70800862,65979500,53912277,53912278,65979502,67585882,55244281,44396198,35020844,26939983,20054129,14368567,9874685,254648580,20054127,23205853,16935317,11852745,7921891,5036397,3049364,3049365,5036399,7921896,11852752,16935328,16935160,11852646,7921839,7921840,11852648,16935165,11852738,11852739,255624562,11852807,7921932,7921933,11852809,16935431,23205657,30628296,30628828,30628827,23206120,16935519,16935517,16935518,21460766,21460765,21460764,255800668,37247533,37247549,36693619,28203510,21011642,21011641,28203507,36693617,36693612,28203504,21675366,21675365,28956471,37499247,46579891,53723993,43212097,34124648,26259069,19540055,15227149,15216195,10819964,255048053,7151384,4503505,2706338,2706337,4503502,7151377,10820969,15637096,21675364,28956469,36895546,28398072,21177876,15217761,15217759,21177872,28398067,28407322,21186113,21186112,15226436,10503016,10503015,15216531,11315000,7512935,254356573,2862249,4749285,7512938,11315005,16272529,21182949,16352720,16352717,11379595,7560269,4780580,2880856,2880854,4780570,3009154,1747973,1747972,993970,993969,1747995,3009197,4981371,7847335,11752845,254606148,23053099,254866054,21183699,21183698,28404664,30139320,22753519,16542434,11529363,7669768,4852843,4852842,7669766,9798066,9798068,14255113,19899392,14600783,10046675,6602056,4135973,2474057,2474056,4135972,6602053,10046667,14600768,20343121,20343119,255763301,35404693,44830228,55737934,68135846,81625786,70696405,70407731,70407732,256751682,70793421,58076048,58076047,49919821,49919820,256549026,58076101,46704035,36821443,28326163,28326162,36533949,36533948,39900111,39900110,49919838,61399951,74180232,256751684,46703948,36821371,36821372,46703950,49919844,39900139,268339744,28326166,28326167,36821450,46704040,55745606,44837854,42725421,37166493,33757901,25950038,255164682,42788781,49901139,43187874,38601690,30028446,22654730,16462177,11470160,11470159,16462175,22654724,30028440,38601683,48516398,53818424,47999509,38087802,255189232,17828921,12624184,8570285,5566055,5566054,8570281,12624180,15784239,10934797,7235040,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12589622,12589623,13738372,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,11147909,12280738,12280740,14334664,14334666,17493399,12334361,8332501,5377942,5377945,8332512,12232579,11147632,11147631,16054940,22181274,28752417,21492703,15486750,10709325,10709324,15486745,17361413,23681605,31169758,39851575,31583198,30448973,23041372,16796412,11744188,7841038,7841040,11744191,16796415,23041379,30448976,25544615,25544614,24183082,254604528,11147322,7393662,7393660,8575558,8575557,8575043,8575042,12629708,17361573,12231792,12231793,12232414,12232413,17362443,17362603,12232595,12232594,12630451,17836516,17704467,12522882,12522881,12565969,8521013,8521012,12565965,17362471,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405535,254277576,12565486,17757539,17422369,12279727,8293149,8293148,8293392,8289778,8289777,12275071,17415944,254105576,8293900,5350743,254184564,1104671,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4879421,6509122,6509118,9903231,12280769,12280770,254590310,31232653,256008626,12275057,12275056,255556395,17415907,17415906,23740098,31223363,31223359,23740137,17415934,12275063,8289772,5347864,3286616,1932721,1932720,3286613,5347859,8289763,12275047,17415903,23740092,31223350,23740089,23740088,31223352,39900104,256511721,23740085,23740084,31223344,23740129,23740130,31223403,39900158,49919864,39900151,257058461,48772417,256946300,30268439,38852590,38852588,257570017,259426001,74180252,74180250,87784990,87784992,87784993,101758382,113328255,127187246,113328252,99325323,85381083,85381082,99325321,113328251,99325325,257905800,85381089,85381090,99325332,85381094,85381095,259155378,127187247,271657314,87926555,74323450,61547312,61547311,71792276,59051031,269798685,59021754,59021753,70793419,269305281,36821366,37728049,47649845,37728058,37728057,47649850,37728066,29168011,29168010,37728064,47649867,47649857,37728060,256413000,10936631,7236360,7236359,10936630,15786579,21858767,29167998,37728047,47649841,47649839,269329377,61547297,50069313,50069315,50069321,40050109,31369615,31369616,31369602,31369601,40050091,50069320,61547303,74323445,73530137,257612665,39453429,39453428,49381460,47923912,38008901,38008902,47923914,59316990,72051818,74323441,258885105,65980582,53913454,43389301,43389302,53913456,61848503,58078627,58078628,58078630,46706873,40519772,255566944,17922136,17922135,268692465,50556217,58078633,58078606,46706849,36824672,28329131,28329130,28329156,21118620,15171680,10463548,6897232,6897233,10463550,15171683,21118625,28329169,36824711,46706848,46706875,269305357,40336807,31648182,256544593,40336811,257675721,268688073,24141963,17777579,12581843,8534871,8534872,12581846,17777585,24141973,31648189,40336817,50363975,40336730,40336729,40336738,31648127,24141935,17777564,17777563,24141933,17777588,12581848,8534874,5533039,3418595,3418594,5533036,8534868,12581834,17777566,24141939,31648132,40336747,50363986,257092555,40336762,50364000,61848447,50363995,50363996,46759486,36880764,28384252,28384251,36880762,31648149,24141948,17777571,17777570,24141945,31648144,40336748,31648133,31648134,40336751,50363991,61848441,61848442,61848483,61848469,50364017,40336775,31648155,31648156,40336777,50364021,61848475,74641083,74641077,70860448,70860410,257455412,46778754,46778755,58146283,70860191,58146131,58146132,70860195,84417589,71050984,58335210,58335209,60623651,73369283,73603533,85505372,77772107,64589341,52688825,42302043,33321344,33321345,42302048,42302051,52688838,64589366,70860466,70860464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162854, s2 = 13347404, dlinesl.size( ) = 2 s1 = 14162854, s2 = 13347404, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162854, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 663754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 663754, s2 = 11655875, int(edited[s2]) = 0 s1 = 663754, s2 = 11655875, d1 = 9, d2 = 4 Dl.O(d1) = 16941947,11857211,7924362,5037492,3049857,2439857,2439856,4077799,5037448,3049833,3049832,3176906,1859712,1859713,3176912,5207204,8127856,8056723,5147891,3132543,3132542,2980969,2980968,4939990,7791307,11684032,7924165,5037383,3049803,1776706,1776707,3049805,5037392,7924178,7924180,7924181,11856921,16941458,12002822,8056738,8056737,8102843,8102841,12051934,17148282,23425954,23213702,23213703,23272681,17172743,12074447,12074446,17172740,23448758,29484257,29484256,38047545,29484110,22145896,22145894,22146009,22146010,17315852,12191164,12191163,17315848,23631802,31118349,31819159,31546731,31546732,39476970,39476968,34107102,26243690,26243689,31710531,40402627,50252410,40232486,31547996,29428848,23899903,23899904,31393726,256130900,13979623,19526580,26243685,31753425,24241529,17865718,17865719,24241532,22377624,255908041,17689481,17689483,17692042,24044248,31547704,31548184,40234117,31753415,24241515,17865709,12651727,12651728,17865711,24241519,31547699,40232013,31545501,24042018,24042017,24043394,24043392,31546994,40231050,31544737,24041376,17689448,254863981,8475717,255190393,12511578,12511579,17689984,24041956,24042888,24042889,31544733,24041371,17691503,12512733,12512732,17691489,24043724,24044236,24044235,24043897,24043898,24042906,24042907,31542949,24043612,17691364,12512607,8476724,5479331,3371740,3371739,254604215,12511643,8476132,8476131,12511642,17690043,24041962,24044015,24044017,31542475,24039181,17687457,17687458,24039183,17689957,12511591,8476098,8476096,254758657,4603137,4603129,4603130,7297979,255011758,12511905,12511904,17690404,22386858,22386859,17688606 Dl.O(d2) = 17687220,17687021,17687022,24038721,30639923,23216705,17687872,12509642,8474573,8474574,8475747,8475746,12511133,255062000,22311866,22386862,16228489,16228488,22330002,16183797,11249487,8475186,8475185,254409381,1983856,1983855,3371365,5478667,8475633,7489054,4732877,4732875,7489047,11281725,268226013,16228579,11281676,255019563,267912993,5478520,7454331,4709892,4346255,4346254,6918400,6918424,254329595,2602896,4346268,6918426,10491782,15209747,21166992,28385067,33185269,25440051,25440050,33185265,36881646,36881647,46760376,37760962,37760963,47683079,37878475,37878476,47802228,59201953,55238352,49023536,39094672,30498804,29206640,29206641,37768174,47689524,47651687,37729771,37729772,40355071,47110852,37214072,37214071,47110853,52503112,42144908,33185574,33185576,42144912,52503119,64376984,77545321,85455971,77545243,64376867,52502945,52502946,258403307,60427269,49023630,39094764,39094765,256617820,71146063,64264490,64264491,77394459,77394458,86786875,73174202,73174203,258244372,101872353,87898063,87898064,257095750,50362603,50362602,257095744,256547496,39922284,31246714,23762404,23762405,24156876,17789835,17789836,24140783,31647039,33396450,33396452,33396497,255676963,13570967,13570966,19014797,25630557,25630574,19014810,19014809,22211700,16080707,16080708,14023543,9640104,9640103,255302859,24156907,256038765,35330057,31666477,30237231,22843969,22843968,24157189,31666295,24156949,17789878,12591508,12591509,17789879,17790034,12591589,8542954,5540662,3425950,3425949,5540658,8542948,12591582,17790027,24157155,19873442,19873440,26693332,34687807,32765979,32765980,29247953,29247952,31666247,24156899,17789851,17789853,24156902,31666255,40360854,41704697,33985343,26145440,19448063,19448062,256174723,33985282,27204779,20276973,14548759,13917136,9552115,9552114,13917133,19448038,26145401,21927796,21927795,29248083,34687802,43042831,53521362,47734807,37812625,29247944,21927716,21927717,26145383,19448026,13917126,13917127,15841357,10977747,7266062,4582211,4582210,254755525,255437041,15841329,255872837,29248007,29248006,29248013,21927756,15841336,255437043,29248015,28950369,256344937,29248059,29248060,37812677,29247990,29247991,37812679,40616651,256367925,21927737,15841325,15841326,21927739,29247981,37812664,46953297,43042863,43042864,43042834,37812649,31903395,24372567,17974811,17974810,24372564,31903391,29169650,29169649,30704754,23288705,23288704,30704752,24281267,24281264,24281263,31795000,31795003,24281271,17900728,12680611,12680610,17900725,24281266,21581758,15557976,10761255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 663754, s2 = 11655875, dlinesl.size( ) = 2 s1 = 663754, s2 = 11655875, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 663754, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 6521412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 664438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13198021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13198021, s2 = 15192991, int(edited[s2]) = 0 s1 = 13198021, s2 = 15192991, d1 = 0, d2 = 6 Dl.O(d1) = 1780491,1780492,1806990,1783629,1017225,573358,321071,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177970,177968,321900,575141,504639,504640,894496,1015191,576912,576913,1023838,1794607,3075986,1797319,1797320,3079714,3057327,3057326,5047094,3069252,3069253,5063593,3086981,3086982,5042402,7931573,11867162,16954765,11925820,11211275,7935020,7935019,7955275,7955274,11895867,7954730,5059510,3065325,1786835,1786836,3065330,254088292,11895782,11893163,11893164,11164675,11164674,16077586,11883108,11883107,16970883,17096796 Dl.O(d2) = 7948566,11888601,16975793,23243198,17021397,254825100,7406058,7406059,11164682,11885862,11885861,254381704,254382224,23247776,16982957,16982958,23247777,23274285,17013920,11928723,11928722,11891329,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991731,13190155,18561840,23236011,23236012,16967578,11879517,11879516,16967577,23238660,254382358,17003779,16968355,11880341,11880340,16968354,17013371,254088286,22575941,16392907,11409164,267735600,12356090,12356089,8353616,5391902,5391903,8353618,12154207,12154206,11905930,7963406,5066032,5066031,7963401,7963416,7963418,7162443,4676513,2817333,2817335,4676522,3064839,3064840,4510820,4510821,7161994,254697028,12357794,16986833,11901525,11901524,11160041,7402552,7402554,5254406,3210983,3210984,5063054,5063056,7470484,7470485,5464468,5464466,4929426,3315716,3315719,5392126,7567939,8353943,8231796,5303642,3254438,3254436,5303634,5303627,5303626,254137516,17326074,23642788,22182008,22182009,24099551,24099550,30849139,24116699,17755651,12563690,8518809,8518808,12563688,12586378,8538692,8538690,12552403,8510719,8502529,5503430,5503429,8274969,12252570,12253101,15185407,12593779,8544967,5543114,5543113,8544963,12231949,8259496,5328699,5328700,8259497,12231951,17361800,23682053,17777487,12581773,8534807,5532972,3418530,3418529,5532968,8534802,12581766,14334523,16889219,23149910,30186018,22796171,22796172,17771614,12576691,8530069,5528159,5528157,8530065,12576689,17771607,24135335,29095471,21797968,21797970,29095475,33696098,31665488,28753499,22796898,16580082,11560380,7693373,4868612,4868613,7693374,5490240,5490241,8489224,254193306,8550798,5549138,5549139,8550803,12600278,17363397,12233122,12233123,17363400,17771428,12576562,8529991,8529990,8559963,8559964,10411588,10411587,15096113,17789669,17789668,24156677,31601708,24097607,17744808,12555563,8512624,5511661,5511662,5511567,3399176,254283716,5510694,5511178,5511163,5511136,3398968,3398970,5511153,8511627,12553938,12552036,12552038,15096031,16885951,16228008,16228007,17729896,12543717,8503131,8503128,12543697,12543695,17729854,17729982,17729981,17780845,19700787,16889331,16889327,17824664,17704736,17704739,17813999,17770851,17770850,23681499,17422491,12279825,12253644,12253645,17388805,12575961,8574174,8574173,12232685,12555051,8512309,8512311,8510888,8510884,12552717,12555175,17738348,17738352,17753044,17753042,12589766,8541421,8541425,12589760,12539082,12539080,17422874,17422124,17422126,17726848,12590629,8542163,8542160,12590619,17728668,12542859,8502677,8502676,12542850,12609061,12609062,17709118,16894287,254089984,254136894,14334728,10720534,9190822,6016467,3763519,2254810,2254809,3763514,6016454,9190796,13441377,254279526,33212303,254300650,16166759,13441973,13441975,17708589,12526536,11822917,7901088,7901090,11822923,16894952,17798489,12640276,12640274,17848975,24219235,24186434,24186435,31694732,26433440,26433438,31701757,30053742,24138684,24138685,267931550,43419475,34318258,31675186,25466452,18866322,18866321,18863077,13440130,9189779,9189778,6393474,4012234,2404567,1391452,1391449,2404558,4012208,6393421,9718578,12632589,17839231,24209350,26440667,34318898,33212642,30573055,23155362,16894043,16894044,23155363,24083423,17726115,17726116,24083425,28050263,28050264,31588327,254610726,26440827,19701594,19701593,26440825,34318987,35128666,33213557,254409916,20149347,20149352,27042181,22310649,22310650,26443752,31675928,31688072,24179297,24179296,20976946,15065598,14456320,14456319,20152200,24138713,17774442,17774443,24105020,26442538,19703712,19703713,19701127,19701129,19703757,19703756,16795996,16795998,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24071112,17714875,17714878,12599286,12599284,17798841,14129013,14129011,12680347,12680349,17900477,24281027,23992491,17647930,17647931,23992493,26442335,255164516,255164518,255055301,7208166,4541754,4541753,254749073,15736333,21795573,21064667,21064668,22317158,22317159,29668642,29096963,23301341,23301340,29095431,22316948,19781883,14169215,14169214,19781881,21064612,15130703,10899424,255055331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13198021, s2 = 15192991, dlinesl.size( ) = 2 s1 = 13198021, s2 = 15192991, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13198021, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 6421261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14243275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6436574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6436574, s2 = 8620837, int(edited[s2]) = 0 s1 = 6436574, s2 = 8620837, d1 = 33, d2 = 38 Dl.O(d1) = 254379618,11943004,268101459 Dl.O(d2) = 72834863,86429305,100384724,260637120,129629308,129629307,260637118,262273070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6436574, s2 = 8620837, dlinesl.size( ) = 2 s1 = 6436574, s2 = 8620837, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6436574, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 667120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 667120, s2 = 1480923, int(edited[s2]) = 0 s1 = 667120, s2 = 1480923, d1 = 1, d2 = 1 Dl.O(d1) = 23298777,17038664,11952462,8001122,254380053,1805875,1805873,3091364,5093576,8001103,10439111,6881749,4319774,4319773,6881742,10439102,15135711,21071222,26654224,26654225,26654587,28106259,28106260,24089256,17731746,12545058,12545057,17731738,12545064,12545062,14394837,14394836,15014933,15014932,20922052,28097199,36568105,35040969,26961001,26961000,27229838,28045558,28045559,26657246,19843235,19843236,17731726,12545050,12545048,17731719,20077309,20077308,23298691,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394562,20076972,15136018,15136019,21071682,25291918,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,12872810,12872787,12872784,18153308,24600878,32188385,39842233,39842232,33494063,33494064,33494050,25718069,25718068,21058350,15126336,10433141,10433139,12818051,18079834,21043657,21043659,28242625,36737668,28260616,21059109,15126830,10433419,6878321,4317633,2582258,2582257,4317628,6878313,10433403,13991442,19540089,21059276,28260631,36755722,36752348,28257403,28242223,21188831,21188832,28410304,256843291,47802903,268629091,21982508,29310398,37879263,46641269,36755326,28260252,21058832,21058831,256294087,256064450,15115462,15115459,11724862,7827510,7827509,10426043,15115301,21043263,21043261,28242113,21056541,21056540,23009781,16770522,11724845,7827498,4968510,3000921,3000920,4968506,7827490,11724828,16770497,23009728,25673471,19052162,19052166,25673488,29310201,28261059,21059394,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,21948391,15858682,15852124,10986480,10986477,15852105,21940383,29261740,27055716,27055718,35141261,44517765,37734310,29173596,21863508,15790616,10940081,7238976,7238975,10940074,15790603,15907142,22008310,29173528,37734173,29173487,21863449,21863448,29173480,36751429,46637914,48927924,39004097,30414857,23009993,16770673,11724927,7827536,7827534,11724916,11724945,11724946,16770707,23010056,23086337,16833127,11771500,11771502,16833135,15858666,15858662,21948339,21056236,21056238,22865655,30261591,38328639,38328297,38328294,29758589,29758590,31698871,28257956,21056973,21056971,28257950,36753019,36751085,29759675,29759677,29680963,29680966,29759638,22398202,16237399,15865854,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,19836595,19836592,22556570,26650224,22396159,22396158,29756625,29756806,38326263,36754610,28259546,28259545,36754606,36450086,27991541,27991540,25475346,18873982,13449383,13449380,11288436,7494886,4737804,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,6027641,9206959,13463447,18892605,24102263,29393381,22063041,22063040,29393377,23298820,17038690,17038688,15958568,15958567,22063046,29393386,37957981,47875959,59271448 Dl.O(d2) = 23298777,17038664,11952462,8001122,254380053,1805875,1805873,3091364,5093576,8001103,10439111,6881749,4319774,4319773,6881742,10439102,15135711,21071222,26654224,26654225,26654587,28106259,28106260,24089256,17731746,12545058,12545057,17731738,12545064,12545062,14394837,14394836,15014933,15014932,20922052,28097199,36568105,35040969,26961001,26961000,27229838,28045558,28045559,26657246,19843235,19843236,17731726,12545050,12545048,17731719,20077309,20077308,23298691,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394562,20076972,15136018,15136019,21071682,25291918,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,12872810,12872787,12872784,18153308,24600878,32188385,39842233,39842232,33494063,33494064,33494050,25718069,25718068,21058350,15126336,10433141,10433139,12818051,18079834,21043657,21043659,28242625,36737668,28260616,21059109,15126830,10433419,6878321,4317633,2582258,2582257,4317628,6878313,10433403,13991442,19540089,21059276,28260631,36755722,36752348,28257403,28242223,21188831,21188832,28410304,256843291,47802903,268629091,21982508,29310398,37879263,46641269,36755326,28260252,21058832,21058831,256294087,256064450,15115462,15115459,11724862,7827510,7827509,10426043,15115301,21043263,21043261,28242113,21056541,21056540,23009781,16770522,11724845,7827498,4968510,3000921,3000920,4968506,7827490,11724828,16770497,23009728,25673471,19052162,19052166,25673488,29310201,28261059,21059394,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,21948391,15858682,15852124,10986480,10986477,15852105,21940383,29261740,27055716,27055718,35141261,44517765,37734310,29173596,21863508,15790616,10940081,7238976,7238975,10940074,15790603,15907142,22008310,29173528,37734173,29173487,21863449,21863448,29173480,36751429,46637914,48927924,39004097,30414857,23009993,16770673,11724927,7827536,7827534,11724916,11724945,11724946,16770707,23010056,23086337,16833127,11771500,11771502,16833135,15858666,15858662,21948339,21056236,21056238,22865655,30261591,38328639,38328297,38328294,29758589,29758590,31698871,28257956,21056973,21056971,28257950,36753019,36751085,29759675,29759677,29680963,29680966,29759638,22398202,16237399,15865854,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,19836595,19836592,22556570,26650224,22396159,22396158,29756625,29756806,38326263,36754610,28259546,28259545,36754606,36450086,27991541,27991540,25475346,18873982,13449383,13449380,11288436,7494886,4737804,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,6027641,9206959,13463447,18892605,24102263,29393381,22063041,22063040,29393377,23298820,17038690,17038688,15958568,15958567,22063046,29393386,37957981,47875959,59271448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 667120, s2 = 1480923, dlinesl.size( ) = 2 s1 = 667120, s2 = 1480923, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 667120, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 1907318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1907318, s2 = 13223668, int(edited[s2]) = 0 s1 = 1907318, s2 = 13223668, d1 = 87, d2 = 61 Dl.O(d1) = 49241600,39314648,30716340,23299177,17039045,11952844,8001477,5093866 Dl.O(d2) = 23716216,17404487,254331738,8367414,8367413,12382559,17552991,18933031,15141193,12268739,8285012,5344929,3284883,1931856,1103563,619223,344075,344074,254134523,1103560,1931850,3284875,5344917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1907318, s2 = 13223668, dlinesl.size( ) = 2 s1 = 1907318, s2 = 13223668, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1907318, Dl.E( ) = 114, 4.29e-05 seconds used appending s1 = 7834978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7834978, s2 = 10881902, int(edited[s2]) = 0 s1 = 7834978, s2 = 10881902, d1 = 37, d2 = 23 Dl.O(d1) = 72934548,259428605 Dl.O(d2) = 6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917552,6011620,6011618,8560828,12612378,261318087,260943102 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 457376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 457376, s2 = 14051991, int(edited[s2]) = 0 s1 = 457376, s2 = 14051991, d1 = 7, d2 = 4 Dl.O(d1) = 11591230,7715981,4883748,2942794,1706565,1706564,2942792,4883742,4883798,7716052,11591341,16617630,16626593,11597549,7720149,254547400,2944392,4886369,7720153,11597557,256370177,21950312,15860037,10992694,10992650,7276913,7276912,10992648,15859953,21950207,23594212,31077575,28906616,255415731,254741189,7130663,10792859,10792860,268209756,28557063,24952278,18436171,13095393,8924058,5823745,3633056,3633057,5823751,8924072,13095412,18436202,16004146,11110766,11110765,10248436,10248437,14905323,20798504,20251030,14531491,14531493,16009774,11115146,11115148,8319575,5368469,5368468,5031165,5031167,7914427,10928478,10928475,254560832,29155762,25086571,25086572,32784373,29599933,29599934,32247766,32247765,39508480,49439645,60841442,62845804,51196365,51196366,62845805,70406463,59174648,47775938,37852782,33724057,25917524,25917523,33724056,42753314,47775920,47775919,48080638,59471329,62415025,50833023,50833024,47775892,37852749,37852748,40069364,31386824,255567797,12374152,11958517,11958518,11958546,8005700,8005368,8005367,8005297,5096340,3093398,1807468,1807470,3093401,3094508,5098368,8005509,5096477,3093491,1807516,1032391,581849,325365,325364,325408,581966,1032606,1807928,3094244,3094253,5097839,8005856,8005855,7035661,4426615,4426613,5097929,8008040,11812562,8005531,8005533,11958835,11958613,8005446,8005448,11958716,11958820,11958819,11962875,11962877,11958620,8005387,5096395,3093430,1807484,1032370,1032369,1807481,3093423,5096377,8005348,255143153,17046697,17046610,255529275,23308042,30725826,30725701,23307904,23226385,16953031,16953030,11958575,268101733,23226547,23308226,17535638,17535639,23881665,23307957,17046522,17046523,255976315,30648123,30648122,23307994,23307993,30725772,39323550,255976311,268112313,12367889,17535506,23881469,30436525,39026053,48948702,49250059,39323574,39323553,30725747,30725746,39323543,30725742,30725743,39323545,36929227,28430591,28430592,36929230,36929222,28430582,21206756,15240516,10513580,10513581,15240522,12367955,8357213,8357196,8357194,12367907,17535534,23310490,17048580,17048579,23310483,30728570,23881607,23881606,31378416,39147606,30549930,23131919,23131920,30549933,39147612,39329604,30731358,30728543,30728542,30731362,39329728,40060948,40060936,31378223,23881435,23881436,23881622,23881621,23226398,23226397,23312702,17050143,11961233,8007068,8007069,11961238,17050157,23312731,256478407,49256535,50082396,58174956,49077305,49077306,60480468,60655242,49254548,39327856,39327855,49254545,60655240,258834029,73403160,257603697,49256353,60656958,50082529,40061125,40061126,39329686,30731327,30731326,39329680,30731349,30731350,39329588,49256373,39329739,30731369,30731368,39329737,39329566,30731257,23312671,268425995,39329570,49256349,60656957,73403158,73401736,60655237,60655236,73401734,60656962,60656960,71395168,58660490,47269052,37359054,37359055,257457893,44486477,35109377,35109378 Dl.O(d2) = 46875557,58242770,58337985,58337987,258047602,60472613,257501359,37954014,37954015,47872388,59268106,268682060,38408559,36809645,36809644,46693022,46875543,46875544,48319297,256575168,32097613,32097611,38463371,38463372,32097587,32097586,40869389,47259024,46749055,38408536,29836310,29836309,256955101,255915669,22469223,29836326,29836355,38408590,257470172,37355554,37355555,37355445,28816213,28816214,21704499,15663194,15663193,21704496,28988114,37532925,47265386,37355655,37355656,37355481,37355484,47265246,255855112,71392175,71392169,58657050,58657010,47265174,47265175,58657013,256348122,30624555,23202256,23202254,30624589,39222332,48091836,48091837,59481324,50120423,40099994,31420007,31420008,40099996,47265331,47265330,58657104,58657112,58657111,256889894,256348124,46396750,36535857,28069046,20897810,20897811,28069048,36535862,268927270,29613293,22262491,22262492,29613295,38180214,48091839,47265249,37355486,37355487,28816335,28816334,37355601,47265333,47265413,37355678,37355675,47265405,49040573,39110868,30513751,23098108,23098109,30513753,30737991,23317965,23281771,23281580,268425333,18920954,13488777,13488778,11937884,7989538,5085174,5085171,7989531,11937866,17022599,17022645,11937895,7989546,7989544,268101377,23281652,30697012,39294456,39294468,39294469,39294446,39294445,30720458,23303096,17042680,17042681,23303098,30697006,30513730,30513729,30722118,23304622,23304623,17053625,11963286,11963284,17053620,23281684,17022666,11937907,7989553,7989552,8008227,11956793,11955980,8003732,5095461,5095462,8003737,11955988,17022619,23281625,23310513,23375280,23311394,17049191,17049192,22394922,17825083,17825084,24194325,22394915,16234977,16234978,17053653,22394900,16234967,16234968,22394902,22106923,22106924,23320176,17055461,11964663,11964661,17055457,23320168,30730662,23312089,17049697,17049698,23312094,30730649,29684853,23303003,255142925,255528985,268970238,30637487,23214490,255138101,7924703,5037716,3049997,3049996,5037714,7924699,11857694,16942570,11857714,11857715,7925055,5037914,5037913,7925053,11858033,11858032,255523561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 457376, s2 = 14051991, dlinesl.size( ) = 2 s1 = 457376, s2 = 14051991, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 457376, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 333888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9334628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9334628, s2 = 667768, int(edited[s2]) = 0 s1 = 9334628, s2 = 667768, d1 = 1, d2 = 1 Dl.O(d1) = 17532672,15825319,10966667,10966669,15825330,12509991,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370410,11112877,11112997,7370492,7370490,254565946,4656165,2805049,254523621,255075037,16007160,11112979,7370483,7370482,11112977,16007159,22120931,22120904,16007118,15824973,10966452,7258738,4656305,4656045,2804979,254350021,7370249,11112604,16006718,22120489,29454699,255885306,16007235,255885308,11113254,7370711,7370707,7370709,7370435,4656158,4656159,254764369,4656198,2805071,1627243,1627244,2805073,4656200,7370437,11112923,255450003,16006958,11112782,7370358,4656121,4656122,7370361,11112784,16006959,16007259,11113050,7370538,254523114,2805090,4656227,2805135,2805131,4656317,2805214,2805218,4656483,7371016,7370430,4656156,2805044,2805043,1627332,925362,521617,292374,161728,161729,292380,521626,925389,1627368,2805281,4656617,7370756,4656563,4656565,4656281,4656282,7370650,11113139,11112795,11112794,11113134,7371068,7371069,11113737,16008035,11113714,7371060,7371061,11113719,11113653,11113652,15979781,16008022,16008186,16008204,11113867,7371156,7370990,4656462,2805210,2805211,4656466,7371001,4656502,2805233,2805234,4656506,4656535,2805248,1627337,1627300,925355,925354,925372,267789751,254523645,2805307,2805308,4656654,254765197,16007699,255885328,16008157,16008030,11113711,11113712,16008032,16007978,16007977,16008411,11114033,7371296,4656668,4656646,2805301,2805303,4656626,254523647,11113955,16008324,22122069,22121905,255886843,22121716,255886827,22121952,25581640,25581641,255578437,17670772,24019758,31521089,30204870,22813357,22813358,30204873,25581543,18973719,18973721,25581548,25581600,25581601,33340944,38017995,29802618,29802620,29455866,29455867,38017974,38030656,29468134,29468135,38030657,47944504,59336324,48325028,48325026,59646593,59336328,59336329,59324118,47932140,256031868,29456228,256924515,48711713,48711712,52451136,52451130,42098190,33143949,25403854,18814171,13403296,13403295,18814169,25403851,33143943,30204467,30204466,24890261,24890262,32535351,30775411,23351685,23351686,28207881,21015097,15093570,10409942,10409943,15093572,21015100,23267060,17003078,254873402,29456059,22122051,22122050,29456057,38018132,33143975,25403874,18814184,13403301,13403302,18814187,25403878,33143980,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010913,31511087,256922864,29456150,29675114,37028921,30205965,22814326,16595866,16595864,22814320,20917332,20917333,28091467,36561477,29912872,22555593,22555592,29912867,38470917,38790137,30205386,30205385,31511049,31511050,38790237,30205515,30205516,30206635,22814922,16596354,16596356,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010933,31511125,254818442,20288101,22814339,16595875,11574454,7704214,4875902,4875903,7704210,11574446,16595854,22814303,256439499,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,22813846,16595470,16595469,22813843,22813841,16595468,16595467,22813839,22324723,16179375,16179377,15125803,15125804,10432857,10432856,15125892,11574831,11574832,16596395,22814965,22813797,16595441,16595440,21057768,22324553,16179254,11245896,11245895,11574151,7704028,4875799,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,21057681,16850264,15125798,10432807,7704432,7704431,11574706,11574705,16596224,22814768,28258902,28258813,21057710,15125832,15125833,21057713,22324836,16596342,16596344,20917107,15011058,10340549,10340548,15011052,16179244,16179243,20917270,15011171,11574800,11574799,16179466,11574311,7704124,7704123,8608312,5594036,3470602,3470600,5594030,8608299,8608342,8608343,11784185,7868314,7868313,11784180,16850288,16596388,11574826,7704441,4876026,4876025,7704437,10896584,7704305,7704306,11574606,16596097,21057808,15125932,15125838,10432825,10432826,15125845,21057722,16596347,15126058,10432968,6878083,4317506,4317505,6807418,4269524,2552656,1470452,831788,831790,1470460,2552676,4269560,6807498,10340705,11254381,7470915,4721299,2844496,2844495,4721297,2845631,1650972,938949,529278,296585,164090,90198,90199,164092,296589,529279,938950,1650974,2845632,4722967,7473277,11257450,16194586,22343575,26440620,19701350,14126108,9718484,6393357,6393358,5566909,5549772,3456816,3456812,5572647,8536535,8536532,8511733,8511731,11819102,11819098,16890304,22797442,18534451,17792681,12593806,8544978,8544976,12593800,254281278,22184231,16057339,16057340,22184233,23419063,254192458,11105423,7365148,7365147,11105421,15997131,12543083,8502805,8502806,12543087,17728991,17826112,12621659,12621661,17826115,17794977,12595762,8546843,5545226,5545225,4977234,4977237,7840788,11743738,12541800,8502067,8502070,5560285,3445066,3445064,5560377,8563360,12615478,17818215,19836917,22665215,22665216,25465503,22677597,16480622,11483152,11483153,16480624,22677600,30053748,24059227,17826135,17826130,17826131,24195369,25077546,18534446,18534447,21559259,28830145,30218888,30218887,254774252,16470658,11475930,7632912,7632913,11475932,16470662,22665649,19705935,19705936,17054863,11964221,11964222,17054868,23319398,30739546,30739545,26445280,19706242,19706238,19706240,23398840,23398839,30826503,30218891,22826491,22826492,23399614,17127592,17127591,23399613,255464650,32207335,24616725,18166553,18166555,24616732,27973533,36432534,37439599,28899308,21624140,15593523,15593524,21624142,27214657,20286264,14556370,10016254,10016253,14556369,20286261,27045648,27045650,28430641,21206794,15240542,10513596,10513597,15240545,21206798,15240567,10513610,6932999,4356028,4356027,6932996,10513601,268203639,15240548,21206804,27214615,20286236,20286237,27214617,24296797,24092349,24092348,31595852,27214624,20286240,14556354,14556353,10016249,6583330,4124777,254475695,10016250,14556361,20286254,27214644,27214613,20286235,14556350,10016243,6583328,4124776,254475693,268381018,27214622,35338603,35338644,27214659,27214660,35338613,35338612,35338614,27214630,20286244,14556357,14556358,20286246,27214633,20286247,20286248,27214636,255971306,20286224,14556346,14556345,10698814,7068261,4450200,4450199,7068259,10698809,15472188,21474806,21474815,28732436,37264692,29776927,22412559,16248400,16248399,22412556,29776922,24293897,17911734,12689884,12689883,268264821,23376893,17107119,17107120,12689879,12689880,17911728,24293886,31808928,40504328,32185295,32185294,34644199,26653229,19839798,14213238,9770924,6424285,4103170,2454351,2454350,4103168,6549581,9965397,14483714,20186971,27085315,35173844,44551577,270661775,260091652,58706250,47317280,256880353,28867640,21593010,15566526,10767022,10767023,15566528,21593016,256338931,256880351,58706249,258695157,98936307,112925710,126780203,140130639,152824995,164661585,153434199,140753999,127398465,113528694,99517598,85570926,71983808,59246521,47849878,37929765,37929745,37929744,41903295,46474324,36896113,28398608,28398610,36896114,46774243,58142080,70856356,259281919,258916694,58020235,46647050,36761296,28265503,21062810,15129362,10435094,6879372 Dl.O(d2) = 17532672,15825319,10966667,10966669,15825330,12509991,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370410,11112877,11112997,7370492,7370490,254565946,4656165,2805049,254523621,255075037,16007160,11112979,7370483,7370482,11112977,16007159,22120931,22120904,16007118,15824973,10966452,7258738,4656305,4656045,2804979,254350021,7370249,11112604,16006718,22120489,29454699,255885306,16007235,255885308,11113254,7370711,7370707,7370709,7370435,4656158,4656159,254764369,4656198,2805071,1627243,1627244,2805073,4656200,7370437,11112923,255450003,16006958,11112782,7370358,4656121,4656122,7370361,11112784,16006959,16007259,11113050,7370538,254523114,2805090,4656227,2805135,2805131,4656317,2805214,2805218,4656483,7371016,7370430,4656156,2805044,2805043,1627332,925362,521617,292374,161728,161729,292380,521626,925389,1627368,2805281,4656617,7370756,4656563,4656565,4656281,4656282,7370650,11113139,11112795,11112794,11113134,7371068,7371069,11113737,16008035,11113714,7371060,7371061,11113719,11113653,11113652,15979781,16008022,16008186,16008204,11113867,7371156,7370990,4656462,2805210,2805211,4656466,7371001,4656502,2805233,2805234,4656506,4656535,2805248,1627337,1627300,925355,925354,925372,267789751,254523645,2805307,2805308,4656654,254765197,16007699,255885328,16008157,16008030,11113711,11113712,16008032,16007978,16007977,16008411,11114033,7371296,4656668,4656646,2805301,2805303,4656626,254523647,11113955,16008324,22122069,22121905,255886843,22121716,255886827,22121952,25581640,25581641,255578437,17670772,24019758,31521089,30204870,22813357,22813358,30204873,25581543,18973719,18973721,25581548,25581600,25581601,33340944,38017995,29802618,29802620,29455866,29455867,38017974,38030656,29468134,29468135,38030657,47944504,59336324,48325028,48325026,59646593,59336328,59336329,59324118,47932140,256031868,29456228,256924515,48711713,48711712,52451136,52451130,42098190,33143949,25403854,18814171,13403296,13403295,18814169,25403851,33143943,30204467,30204466,24890261,24890262,32535351,30775411,23351685,23351686,28207881,21015097,15093570,10409942,10409943,15093572,21015100,23267060,17003078,254873402,29456059,22122051,22122050,29456057,38018132,33143975,25403874,18814184,13403301,13403302,18814187,25403878,33143980,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010913,31511087,256922864,29456150,29675114,37028921,30205965,22814326,16595866,16595864,22814320,20917332,20917333,28091467,36561477,29912872,22555593,22555592,29912867,38470917,38790137,30205386,30205385,31511049,31511050,38790237,30205515,30205516,30206635,22814922,16596354,16596356,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010933,31511125,254818442,20288101,22814339,16595875,11574454,7704214,4875902,4875903,7704210,11574446,16595854,22814303,256439499,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,22813846,16595470,16595469,22813843,22813841,16595468,16595467,22813839,22324723,16179375,16179377,15125803,15125804,10432857,10432856,15125892,11574831,11574832,16596395,22814965,22813797,16595441,16595440,21057768,22324553,16179254,11245896,11245895,11574151,7704028,4875799,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,21057681,16850264,15125798,10432807,7704432,7704431,11574706,11574705,16596224,22814768,28258902,28258813,21057710,15125832,15125833,21057713,22324836,16596342,16596344,20917107,15011058,10340549,10340548,15011052,16179244,16179243,20917270,15011171,11574800,11574799,16179466,11574311,7704124,7704123,8608312,5594036,3470602,3470600,5594030,8608299,8608342,8608343,11784185,7868314,7868313,11784180,16850288,16596388,11574826,7704441,4876026,4876025,7704437,10896584,7704305,7704306,11574606,16596097,21057808,15125932,15125838,10432825,10432826,15125845,21057722,16596347,15126058,10432968,6878083,4317506,4317505,6807418,4269524,2552656,1470452,831788,831790,1470460,2552676,4269560,6807498,10340705,11254381,7470915,4721299,2844496,2844495,4721297,2845631,1650972,938949,529278,296585,164090,90198,90199,164092,296589,529279,938950,1650974,2845632,4722967,7473277,11257450,16194586,22343575,26440620,19701350,14126108,9718484,6393357,6393358,5566909,5549772,3456816,3456812,5572647,8536535,8536532,8511733,8511731,11819102,11819098,16890304,22797442,18534451,17792681,12593806,8544978,8544976,12593800,254281278,22184231,16057339,16057340,22184233,23419063,254192458,11105423,7365148,7365147,11105421,15997131,12543083,8502805,8502806,12543087,17728991,17826112,12621659,12621661,17826115,17794977,12595762,8546843,5545226,5545225,4977234,4977237,7840788,11743738,12541800,8502067,8502070,5560285,3445066,3445064,5560377,8563360,12615478,17818215,19836917,22665215,22665216,25465503,22677597,16480622,11483152,11483153,16480624,22677600,30053748,24059227,17826135,17826130,17826131,24195369,25077546,18534446,18534447,21559259,28830145,30218888,30218887,254774252,16470658,11475930,7632912,7632913,11475932,16470662,22665649,19705935,19705936,17054863,11964221,11964222,17054868,23319398,30739546,30739545,26445280,19706242,19706238,19706240,23398840,23398839,30826503,30218891,22826491,22826492,23399614,17127592,17127591,23399613,255464650,32207335,24616725,18166553,18166555,24616732,27973533,36432534,37439599,28899308,21624140,15593523,15593524,21624142,27214657,20286264,14556370,10016254,10016253,14556369,20286261,27045648,27045650,28430641,21206794,15240542,10513596,10513597,15240545,21206798,15240567,10513610,6932999,4356028,4356027,6932996,10513601,268203639,15240548,21206804,27214615,20286236,20286237,27214617,24296797,24092349,24092348,31595852,27214624,20286240,14556354,14556353,10016249,6583330,4124777,254475695,10016250,14556361,20286254,27214644,27214613,20286235,14556350,10016243,6583328,4124776,254475693,268381018,27214622,35338603,35338644,27214659,27214660,35338613,35338612,35338614,27214630,20286244,14556357,14556358,20286246,27214633,20286247,20286248,27214636,255971306,20286224,14556346,14556345,10698814,7068261,4450200,4450199,7068259,10698809,15472188,21474806,21474815,28732436,37264692,29776927,22412559,16248400,16248399,22412556,29776922,24293897,17911734,12689884,12689883,268264821,23376893,17107119,17107120,12689879,12689880,17911728,24293886,31808928,40504328,32185295,32185294,34644199,26653229,19839798,14213238,9770924,6424285,4103170,2454351,2454350,4103168,6549581,9965397,14483714,20186971,27085315,35173844,44551577,270661775,260091652,58706250,47317280,256880353,28867640,21593010,15566526,10767022,10767023,15566528,21593016,256338931,256880351,58706249,258695157,98936307,112925710,126780203,140130639,152824995,164661585,153434199,140753999,127398465,113528694,99517598,85570926,71983808,59246521,47849878,37929765,37929745,37929744,41903295,46474324,36896113,28398608,28398610,36896114,46774243,58142080,70856356,259281919,258916694,58020235,46647050,36761296,28265503,21062810,15129362,10435094,6879372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9334628, s2 = 667768, dlinesl.size( ) = 2 s1 = 9334628, s2 = 667768, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9334628, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 7983569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 321881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 669030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 669030, s2 = 7829494, int(edited[s2]) = 0 s1 = 669030, s2 = 7829494, d1 = 40, d2 = 43 Dl.O(d1) = 17084158,17084159,23351608 Dl.O(d2) = 17064158,254564392,12006188,12006189,17070829,12020996,254252418,7524076,7524075,11327837,7527783,4761103,2869886,2869885,4481520,4481519,7117848,10772638,15573478,11326851,11326852,16285294,16285791,11327455,11327454,15571865,11988538,11988539,16993235,254380238,254254786,15665659,254129294,4515167,2713005,1571601,893528,893529,1571605,2713011,4515182,7168916,4515097,4515093,7168930,10844446,7168980,7168981,5112344,5112346,8023357,7117357,7117358,8061127,9338007,9338006,8618282,8618281,12687426,16285538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 669030, s2 = 7829494, dlinesl.size( ) = 22 s1 = 669158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7869624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7869624, s2 = 8024399, int(edited[s2]) = 0 s1 = 7869624, s2 = 8024399, d1 = 27, d2 = 18 Dl.O(d1) = 3850303,6153652,9393128,12154396,12154397,17274963,16966410,11953241,8001766,8001762,5094071,5094070,8001759,11953233,17005169,11924819,254569394,23240669,23249907,16986607,16986606,17014370,16963689,16963690,254178994,5132757,5132755,8042265,5163776,5163775,8069368,7940124,7940125,11877425,11090343,11090344,15975985,16986739,16986736,11901412,11901411,11685547,7792498,7792497,8348443,5388344,5388346,8348449,7438735,7438733,5060586,5060583,4700863,2832092,2832091,4700860,3665595,2193974,1274303,1030419,1030420,1804604,3089615,5048611,7938656,7985387,5082187,3082363,1798767,1798768,3082370,5082200,7985413,11932615,15669868,10847981,10847982,15669873,21712305,16960131,11871995,7997031,5090814,5090815,7997036,254177928,254383588,17084206,16077590,12571084,12571085,17764697,23240688,16972324,11884788,7945565,5053029,254817209,16972317,11896689,7955411,5059983,5059984,7955413,11896692,11931009,11786671,7870263,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3053497,3053501,3058226,3058228,5048136,7937994,11874753,16962861,16955771,11895484,11895483,7997825,7986268,7984573,5081710,3082092,3082094,4032783,2416789,1399091,796387,796388,1399094,2416795,4032794,6428011,9776193,11902520,7984049,7984050,7984459,5081644,3082057,3082058,5081648,7984467,11931424,17015897,17006113,17006116,11923924,11918416,7973141,7952445,5057916,3064367,3064366,5057912,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953 Dl.O(d2) = 259902789,260504775,271839075,84427548,258656539,58156312,58156313,70870296,84427552,98337073,112319853,112319875,98337090,84427563,70870306,58156324,46788863,36911147,28413653,21192033,15228880,10505051,6926974,4351572,2606093,2606094,4351577,6926987,10505068,15228905,21192059,21389065,28627296,29813585,22445964,16276638,16276637,22445962,17585779,12412938,8389584,5413786,3327845,3327846,5413787,8389587,255180343,23927286,22819644,255115393,7706138,4877090,4877089,7706134,11318604,7515510,7515509,11318602,254854677,5413875,3327909,3327910,3327927,3327928,5413902,4876461,4876460,7705080,5413831,3327877,2863275,1661862,1661863,2863278,4750868,254779811,4876311,2938248,1703820,1703819,968513,968512,1703883,2938355,2938331,2938295,2938294,2938758,3327873,3327872,5413825,254796499,2938312,1703855,1703857,2938316,4876411,7705014,11575658,16597479,22815413,16596741,11575090,11575091,16594888,16594889,16598892,11576530,255115285,22818229,29923417,22818734,22446774,16277308,16277309,22446775,22816261,16597472,16226989,16226990,22384926,16226899,11280394,11280393,16226895,22384921,22816202,16597413,11575600,11575601,16597415,16597532,16597531,16599580,16596636,11577057,7705877,7705878,11577058,16379326,255167138,7741689,4902030,2954482,2954481,4902026,7741686,11623406,16655860,17821223,17821222,15601421,254741203,4489151,4489152,7130737,7723013,11601573,16631918,17275835,23587618,31071123,31061565,31061566,31116289,23884186,23884187,21060854,21060853,17284048,12163108,8193991,8193990,12163106,255093863,11310344,7509154,7509155,5394954,4746729,2860639,2860637,4746725,7255685,4862559,4862558,7511028,7511027,11033895,11172237,7412351,4683725,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682815,4512147,2711318,1637046,1637045,2821797,4668822,4511912,2711654,2711651,4512738,7163697,254744165,15656249,10839068,10839069,11104678,11104677,15996125,11586127,7711932,7711934,7412335,7412336,7509006,10836288,7163142,4511516,2710974,2710972,4511512,7163131,10836270,10833786,254697046,2710316,1570136,892752,503743,282512,282511,503739,892744,1570118,2710278,4510389,7161350,10833549,15651908,254719580,17312186,15925020,11047991,7323028,7323027,11047988,15925018,22025983,22107365,17643333,17643332,21638614,15917589,15322935,11104595,7364392,4651919,2802243,2802241,4651931,7364414,5861671,5861670,8978301,7164803,7164802,255420691,12562410,12562409,257673073,272612531,74317245,258239044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7869624, s2 = 8024399, dlinesl.size( ) = 24 s1 = 669566, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1556778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 669826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7625260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7625260, s2 = 13200824, int(edited[s2]) = 0 s1 = 7625260, s2 = 13200824, d1 = 4, d2 = 7 Dl.O(d1) = 269843370 Dl.O(d2) = 12016688,12016687,255270278,11329034,7525754,4759279,254780669,11990789,11990788,255144457,8013616,5102111,3097006,1809582,1033552,582459 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7872844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13245483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6522333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13308111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 474676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 474676, s2 = 6031631, int(edited[s2]) = 0 s1 = 474676, s2 = 6031631, d1 = 5, d2 = 48 Dl.O(d1) = 12060924 Dl.O(d2) = 240115887,240115891 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 7904403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13354513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13354513, s2 = 5210737, int(edited[s2]) = 0 s1 = 13354513, s2 = 5210737, d1 = 27, d2 = 21 Dl.O(d1) = 12066623,12066622 Dl.O(d2) = 216391693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13354513, s2 = 5210737, dlinesl.size( ) = 34 s1 = 9336928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7847239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7871535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7604939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7604939, s2 = 53850, int(edited[s2]) = 0 s1 = 7604939, s2 = 53850, d1 = 7, d2 = 23 Dl.O(d1) = 269072210 Dl.O(d2) = 1981592,1131809,1131810,1981590,3367722,5469375,5472711,3367729,1981596,1131812,1131811,1981594,3367726,5472916,8463774,254603427,3367728,3367727,5472917,5469536,3364123,1978295,1978294,3364121,1980895,1980896,3365594,5470603,254408901,1981595,1131812,1131811,1981593,3367725,5472914,5472917,5469536,3364123,1978295,1978294,3364121,1980895,1980896,1979738,1130475,267772681,1977685,267846215,1979764,1979766,3365376,1979492,1130286,633806,352080,352079,352050,352049,634375,634400,634401,1128861,634129,254136443,1980046,3365897,254187885,1131597,1981373,3367518,267840797,3192393,3192394,1868638,1065928,599139,599140,1065932,1868646,3192660,5231393,8160699,5468303,3362909,1977280,1977281,1977306,1977305,3362955,5468379,8462660,12129038,12128918,12128919,8160780,5471200,3365952,3365953,5471203,5467764,3362399,3362400,5467738,8462015,12493521,17667678,12493513,12493454,8461971,8461972,12493456,8462055,5467769,5467770,8462058,8465367,8465369,12497430,12493628,8462168,8462167,8160535,254833459,12128887,268684280,12493430,12128940,12128941,17246985,17247087,17247090,12497259,255189175,12129341,12129345,17247520,12493541,12493544,17667720,12498015,8465928,8465927,12498008,17673533,22153518,22153517,23556637,23556638,22153469,16033297,11132710,7384450,7384449,11132707,16033289,17673567,12498022,12498018,256030133,24015849,24015851,24016057,24016048,24016049,31517432,40204073,50226083,55489619,44639633,35255004,27155895,20244262,20244261,27155893,35255002,29492597,29492598,38056633,40203910,40203911,50225950,269374918,44543698,35166007,27078279,20181386,20181385,27078277,35166005,28727762,28727765,37259671,39459238,47969901,40204171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7604939, s2 = 53850, dlinesl.size( ) = 2 s1 = 7604939, s2 = 53850, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7604939, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 9406252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9421494, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13268449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 479300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 479300, s2 = 11300394, int(edited[s2]) = 0 s1 = 479300, s2 = 11300394, d1 = 48, d2 = 44 Dl.O(d1) = 12188576,17053723,255475772,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244731,8175151,7820359,5318912,3267745,3267746,1921039,1921040,3196787,3196789,3224591,1890259,1890263,2804527,1626941,1626938,2804513,254523573,254759705,7308527,5238804,3198009,1871980,1871981,3198013,5238810,8169735,5272031,3226479,1891616,1676035,1676036,2887753,4790731,4962334,4618858,2781232,1613321,254233603,4618862,7316736,8177582,5247107,5247108,7308556,4612613,4612612,2843679,1649643,1649644,2796114,2796115,4642315,3202293,1875020,1069642,1069644,1875027,3202302,254579361 Dl.O(d2) = 273521213,163916010,152053530,261074522,272171220,98199740,98199741,112162319,113482918,99472423,85525902,71937923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 479300, s2 = 11300394, dlinesl.size( ) = 28 s1 = 477799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7902573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7870750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 478533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 478533, s2 = 13598632, int(edited[s2]) = 0 s1 = 478533, s2 = 13598632, d1 = 0, d2 = 10 Dl.O(d1) = 12168481 Dl.O(d2) = 130346546,116510085,102414445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 478533, s2 = 13598632, dlinesl.size( ) = 2 s1 = 478533, s2 = 13598632, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 478533, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7898109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7898109, s2 = 6467474, int(edited[s2]) = 0 s1 = 7898109, s2 = 6467474, d1 = 3, d2 = 16 Dl.O(d1) = 8240173,5312283,5312285,8240180,8335927,8335925,7451239,4707896,2836118,2836121,4707854,5929109,5929112,7732140,7732129,7732132,11612394,16644409,15074158,15074159,17433111,12287451,12287450,12643992,12643994,10263394,6744180,4225960,4225961,255358099 Dl.O(d2) = 26193559,26193560,23830140,23830141,23830109,17491883,12333183,8331513,5377186,3306499,3306502,5377180,5377194,254849485,17491916,256519891 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2103638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2103638, s2 = 11655891, int(edited[s2]) = 0 s1 = 2103638, s2 = 11655891, d1 = 11, d2 = 17 Dl.O(d1) = 57614319,46269773,36417165,36417163,257049086 Dl.O(d2) = 17298198,12684609,12684610,17905209,14907782,14907783,16039606,22160918,17438590,15286271,10551833,6959268,4372514,2619431,2619432,4372516,6959270,10551837,255380354,28430404,31324355,23833705,17494801,12335376,12335377,17494802,21217074,21217075,21278805,15316440,10578570,10578569,15102698,15102699,21026768,21226616,17905119,17905120,17904428,12683887,12683888,10521845,6939086,4360614,2612913,1508682,1508681,2612906,4360602,6939066,7095377,7095376,10738973,15527376,21544185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2103638, s2 = 11655891, dlinesl.size( ) = 2 s1 = 2103638, s2 = 11655891, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 2103638, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 6523404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10151009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6741254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 932661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 480201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7989294, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 679910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 679910, s2 = 9069253, int(edited[s2]) = 0 s1 = 679910, s2 = 9069253, d1 = 1, d2 = 1 Dl.O(d1) = 30795011,39397943,49326175,60728254,73476467,87094530,74554806,61771246,50291478,256540747,256540745,17720822,12537045,8498653,8498654,12537046,17720823,24077699,31183834,23693961,17371503,12239410,8265063,5332611,3277835,1928000,1928001,1928005,3277838,5332619,8265076,8256664,5326560,5326559,254841527,12241546,8266989,8266991,10579273,12240112,17340117,17340115,12229725,268376478,3450420,2043956,2043957,254283625,1182158,663984,368320,368321,254140071,2060000,3472777,5553607,8556719,8553246,8534846,5533000,254278687,2018510,3387601,3418542,5532993,8508817,5509343,3397834,2061081,1182853,664408,664407,1182851,2061077,3474227,254617529,8536625,8519860,8519861,5522244,3460201,2051797,2051792,2051807,3409903,2012051,2012050,2018740,1997721,1141781,1141779,1997718,3388142,1995997,254275963,5498417,5490761,5490762,5537520,3422994,2021986,2021987,3422997,3385015,3385013,5494945,254604883,5486309,8485547,12523651,12573875,11313521,7511973,7511976,5595081,3471846,3471847,3395456,3395455,3458955,3458954,3471076,2058562,1764798,1764797,2005628,2005629,3380509,3411489,254414241,8526452,12572308,17766278,24129600,31636691 Dl.O(d2) = 30795011,39397943,49326175,60728254,73476467,87094530,74554806,61771246,50291478,256540747,256540745,17720822,12537045,8498653,8498654,12537046,17720823,24077699,31183834,23693961,17371503,12239410,8265063,5332611,3277835,1928000,1928001,1928005,3277838,5332619,8265076,8256664,5326560,5326559,254841527,12241546,8266989,8266991,10579273,12240112,17340117,17340115,12229725,268376478,3450420,2043956,2043957,254283625,1182158,663984,368320,368321,254140071,2060000,3472777,5553607,8556719,8553246,8534846,5533000,254278687,2018510,3387601,3418542,5532993,8508817,5509343,3397834,2061081,1182853,664408,664407,1182851,2061077,3474227,254617529,8536625,8519860,8519861,5522244,3460201,2051797,2051792,2051807,3409903,2012051,2012050,2018740,1997721,1141781,1141779,1997718,3388142,1995997,254275963,5498417,5490761,5490762,5537520,3422994,2021986,2021987,3422997,3385015,3385013,5494945,254604883,5486309,8485547,12523651,12573875,11313521,7511973,7511976,5595081,3471846,3471847,3395456,3395455,3458955,3458954,3471076,2058562,1764798,1764797,2005628,2005629,3380509,3411489,254414241,8526452,12572308,17766278,24129600,31636691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 679910, s2 = 9069253, dlinesl.size( ) = 2 s1 = 679910, s2 = 9069253, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 679910, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9106463, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11656694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6769107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7897399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321467, s2 = 6524042, int(edited[s2]) = 0 s1 = 13321467, s2 = 6524042, d1 = 15, d2 = 9 Dl.O(d1) = 49936907,49936906,52707036,42319885,33339439,25580257 Dl.O(d2) = 255556141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321467, s2 = 6524042, dlinesl.size( ) = 2 s1 = 13321467, s2 = 6524042, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13321467, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 682424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8074948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 683625, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8005026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8005026, s2 = 8110485, int(edited[s2]) = 0 s1 = 8005026, s2 = 8110485, d1 = 6, d2 = 6 Dl.O(d1) = 30054079,22677874,16480862,16480863,22677876,30054082,38627973,48542784,59935389,72674852,72674820,59935342,48542750,38627938,30054058,30054059,28996671,21711980,15669528,10847674,10847675,15669530,21711984,28996677,29912330,38470261,48371914,59754422,48542778,48542777,48542746,38627966,30054077,22677873,16480861,11483350,255107289,268075190,33319095,42299786,255852180,21875058,15800020,15800021,17603383,12425394,8397947,5419263,5419264,8397951,12425402,17603401,23949124,28174749,23949147,18727324,18727323,25302070,256630787,48371899,258909462,43910041,34636790,26645506,19832200,19832201,14587913,255074446,7378945,11124953,16022753,14165644,9738706,6403993,6403994,9738707,11219999,7444635,7444634,11219997,16150006,255956592,16150425,16150426,12306489,8312305,5363544,5184718,5184720,8092557,12037291,16151503,22296708,23787956,31273424,31273386,23787897,22297805,16152691,11222074,7445990,7445991,11222076,16148097,16152376,11221825,11221819,7445811,7445810,11221813,11218810,7443918,4703400,2833470,1643816,934695,934696,1643820,2833478,4703421,7443965,11218886,16148101,11218719,11218720,15694435,15694436,11221891,11221890,15694648,15694649,21746163,22295556,16150433,16150429,17873143,12656887,8593105,8593106,12656893,16152171,16152173,17873119,22293060,16148425,11218932,7443991,4703435,4703433,7183487,7183486,10864866,15694597,21746238,22170464,22292900,22296923,16151800,16151801,17058356,23323851,29649392,22297536,22297118,22292966,16148341,11218876,11218877,16148344,15694405,10864761,7183423,4525529,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,39432126,37585789,37585787,47490609,255056496,48241394,38331136,38207743,38207742,48118337,48157782,255095116,32463775,32463774,41308537,37585886,29038332,29038331,37585883,42780442,42780658,39737007,31058849,23575293,20264888,20264890,27188780,25942054,23035419,254167624,9448587,267892266,9448595,9448596,13780986,13781505,9448892,6194661,3877189,2321991,2321993,3877193,6194667,9448904,13781524,13781461,13781460,13781074,9448639,9448638,13781069,15897185,11020601,7296191,7296146,4601656,4601652,7296132,11020507,15897156,255855966,13781055,9448631,6552673,6552674,9448768,254943281,19278885,25942220,22295653,22295652,22534193,20265394,14540084,14540083,13781520,13781518,19279170,16150529,11220371,11220372,16150532,22295649,19278835,13781267,13781266,11385700,11385699,16360803,14539540,10003631,6574019,4118041,4118038,6574005,10003608,13781471,19279111,25942360,19279033,13781417,9448837,6194632,3877177,3877179,6194638,9448847,13781436,19279067,25942398,31291175,23804702,17471456,12317713,12317712,17471455,14186798,11320463,11320461,14187042,19806184,19832290,17480504,12324723,12324724,17480505,19831930,14206627,14206629,14206957,14206637,14206620,9766226,254964509,6421396,4028468,2413987,1397314,795101,450575,253800,253799,450571,795091,1397287,2413934,4028353,6421185,9766273,10005265,6575020,6575019,9766603,14207130,19832063,255315469,14207051,19832408,26645756,19832533,19832532,24653700,18195786,18195787,24653702,32253001,26645504,255728796,34637185,255315456,26645940,26645938,34637055,43909816,34637017,34637016,38039474,43910369,256517796,34637232,34637231,34637322,34637321,41754005,43909986,44417744,35043316,26963023,20078842,20078841,20078972,20078970,26645268,19831975,19831973,26645265,26962966,35043267,35043371,33066641,25337082,18757488,18757489,25337085,33066644,26963105,20078889,14396297,14396223,9902371,9902370,14396220,14396336,14396335,14396262,9902392,6508637,5854336,5854335,254905179,5862415,8979406,255242327,25082721,32780069,33096832,25363245,18780393,13375588,9141991,9141990,255256993,13375573,9141981,5982446,3740858,3740857,5982443,9141974,13375564,18780359,25363189,33096768,257607950 Dl.O(d2) = 30054079,22677874,16480862,16480863,22677876,30054082,38627973,48542784,59935389,72674852,72674820,59935342,48542750,38627938,30054058,30054059,28996671,21711980,15669528,10847674,10847675,15669530,21711984,28996677,29912330,38470261,48371914,59754422,48542778,48542777,48542746,38627966,30054077,22677873,16480861,11483350,255107289,268075190,33319095,42299786,255852180,21875058,15800020,15800021,17603383,12425394,8397947,5419263,5419264,8397951,12425402,17603401,23949124,28174749,23949147,18727324,18727323,25302070,256630787,48371899,258909462,43910041,34636790,26645506,19832200,19832201,14587913,255074446,7378945,11124953,16022753,14165644,9738706,6403993,6403994,9738707,11219999,7444635,7444634,11219997,16150006,255956592,16150425,16150426,12306489,8312305,5363544,5184718,5184720,8092557,12037291,16151503,22296708,23787956,31273424,31273386,23787897,22297805,16152691,11222074,7445990,7445991,11222076,16148097,16152376,11221825,11221819,7445811,7445810,11221813,11218810,7443918,4703400,2833470,1643816,934695,934696,1643820,2833478,4703421,7443965,11218886,16148101,11218719,11218720,15694435,15694436,11221891,11221890,15694648,15694649,21746163,22295556,16150433,16150429,17873143,12656887,8593105,8593106,12656893,16152171,16152173,17873119,22293060,16148425,11218932,7443991,4703435,4703433,7183487,7183486,10864866,15694597,21746238,22170464,22292900,22296923,16151800,16151801,17058356,23323851,29649392,22297536,22297118,22292966,16148341,11218876,11218877,16148344,15694405,10864761,7183423,4525529,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,39432126,37585789,37585787,47490609,255056496,48241394,38331136,38207743,38207742,48118337,48157782,255095116,32463775,32463774,41308537,37585886,29038332,29038331,37585883,42780442,42780658,39737007,31058849,23575293,20264888,20264890,27188780,25942054,23035419,254167624,9448587,267892266,9448595,9448596,13780986,13781505,9448892,6194661,3877189,2321991,2321993,3877193,6194667,9448904,13781524,13781461,13781460,13781074,9448639,9448638,13781069,15897185,11020601,7296191,7296146,4601656,4601652,7296132,11020507,15897156,255855966,13781055,9448631,6552673,6552674,9448768,254943281,19278885,25942220,22295653,22295652,22534193,20265394,14540084,14540083,13781520,13781518,19279170,16150529,11220371,11220372,16150532,22295649,19278835,13781267,13781266,11385700,11385699,16360803,14539540,10003631,6574019,4118041,4118038,6574005,10003608,13781471,19279111,25942360,19279033,13781417,9448837,6194632,3877177,3877179,6194638,9448847,13781436,19279067,25942398,31291175,23804702,17471456,12317713,12317712,17471455,14186798,11320463,11320461,14187042,19806184,19832290,17480504,12324723,12324724,17480505,19831930,14206627,14206629,14206957,14206637,14206620,9766226,254964509,6421396,4028468,2413987,1397314,795101,450575,253800,253799,450571,795091,1397287,2413934,4028353,6421185,9766273,10005265,6575020,6575019,9766603,14207130,19832063,255315469,14207051,19832408,26645756,19832533,19832532,24653700,18195786,18195787,24653702,32253001,26645504,255728796,34637185,255315456,26645940,26645938,34637055,43909816,34637017,34637016,38039474,43910369,256517796,34637232,34637231,34637322,34637321,41754005,43909986,44417744,35043316,26963023,20078842,20078841,20078972,20078970,26645268,19831975,19831973,26645265,26962966,35043267,35043371,33066641,25337082,18757488,18757489,25337085,33066644,26963105,20078889,14396297,14396223,9902371,9902370,14396220,14396336,14396335,14396262,9902392,6508637,5854336,5854335,254905179,5862415,8979406,255242327,25082721,32780069,33096832,25363245,18780393,13375588,9141991,9141990,255256993,13375573,9141981,5982446,3740858,3740857,5982443,9141974,13375564,18780359,25363189,33096768,257607950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8005026, s2 = 8110485, dlinesl.size( ) = 2 s1 = 8005026, s2 = 8110485, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8005026, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6538930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6538930, s2 = 11655905, int(edited[s2]) = 0 s1 = 6538930, s2 = 11655905, d1 = 3, d2 = 0 Dl.O(d1) = 255728748 Dl.O(d2) = 23811521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6538930, s2 = 11655905, dlinesl.size( ) = 2 s1 = 6538930, s2 = 11655905, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6538930, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 684376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7987706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8249990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8080470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 456189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 456189, s2 = 7829893, int(edited[s2]) = 0 s1 = 456189, s2 = 7829893, d1 = 53, d2 = 116 Dl.O(d1) = 11562833,16582531,22799414,30189173,38772671,48694630,49982585,257825970,74321193,61544964,268434158,255157354,17528151 Dl.O(d2) = 799907,799906,1405573,2429884,4059827,6478609,9862605,14354022,20038360,21637099,255045679,10796177,15605226,21637096,28911728,37451354,37451435,37451343,28911711,28911710,255849216,35005511,26923690,20038422,20038421,26923688,26923706,35005596,256381926,29410244,22079841,22079840,23691295,17368764,17368766,23691297,23049688,22079749,15974208,11088995,11088996,15974212,22079755,20038436,20038327,14354000,9862585,9862586,9862578,9862580,14353993,20038315,22079721,15974192,11088977,11088978,15974194,20038461,14354083,9862638,9862637,14354078,20038452,22079897,22079738,15974200,14563157,10021119,7354195,7354196,11088992,7354264,7354265,8262603,12236655,17368746,15974196,11088980,11088979,12018974,17104624,23373701,255885048,15998131,15974318,15974317,15998220,15998219,22109946,29410167,22079800,15974281,15974282,22079705,15974216,11088998,7354201,4645554,267889335,11103555,7363505,4651146,254523337,11103561,15974384,11089161,11089154,7357456,7357454,11093786,11093625,11093624,7357315,4647495,2799430,1623917,923392,923393,1623922,2799436,4647506,7354357,4645665,2798375,1623277,923048,520364,291719,291718,520359,923043,1623265,2798350,3276694,4651112,3154768,3154769,5173149,4647582,4645617,4645616,7354295,7363497,4651133,4651132,4651157,2801584,1625119,924036,520902,520901,923329,923328,1623462,1623461,2798638,4646010,7354816,7957026,7957027,7962098,7962100,7439279,4700686,4700687,5057801,5057800,7952278,6881317,6881319,6881301,6881298,7947056,5053853,3061688,3061689,5053859,7947070,7959902,5063220,5049467,5049465,5053996,5053997,7947257,8071292,12013394,17099343,17094497,16961094,11933574,11928190,7981626,7981624,7355110,7355111,7786054,7786053,4935979,4935976,7786060,5062270,5055249,5055246,3067177,3067181,5062327,7957045,7957047,11898541,254177176,7946527,11886062,15653661,15653662,17274809,254351558,17016425,11932073,11932074,16984501,16984503,16966596,15600908,10792565,7130407,254380742,5050054,5050053,7940537,11878038,11896319,7955133,5059785,5059783,7940504,5050032,5050033,5079736,3081026,3081028,1840877,1050639,1050638,590972,590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791105,3071455,5067587,7965384,7991103,5086252,5086251,7991101,11939956,16971174,11883454,11883455,16971176,12012888,12012889,12362550,16365821,11389235,11389236,16365823,17041697,11955132,8003112,5095028,5095027,7985349,7985350,11905129,11905130,255525605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 456189, s2 = 7829893, dlinesl.size( ) = 30 s1 = 8090525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8090525, s2 = 486382, int(edited[s2]) = 0 s1 = 8090525, s2 = 486382, d1 = 0, d2 = 0 Dl.O(d1) = 38782598,31371279,31371278,40052226,31371277,256018815,17531472,12364913,8355067,5392822,254403255,1950693,1114385 Dl.O(d2) = 38782598,31371279,31371278,40052226,31371277,256018815,17531472,12364913,8355067,5392822,254403255,1950693,1114385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8090525, s2 = 486382, dlinesl.size( ) = 2 s1 = 8090525, s2 = 486382, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8090525, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14162188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162188, s2 = 10150550, int(edited[s2]) = 0 s1 = 14162188, s2 = 10150550, d1 = 19, d2 = 15 Dl.O(d1) = 167297458,155665328,143113645 Dl.O(d2) = 143113644,273316264,129783637,115885323,115885322,105527477,260612406,1298329,740962,421121,237654,237658,131222,131221,237704,421218,741118,1298598,1400961,1400965,2420301,2238654,2238655,3739295,3739301,5979756,9137916,13370075,18774012,18775558,13375853,13375852,9142672,5982911,5982910,9142671,255187709,254647509,268948136,13373865,9140730,9140731,5982585,5982584,9142169,13375810,12453095,12453096,13244176,254427220,12461933,12461934,12433996,8403404,8403406,12434003,17615878,12442736,12442735,12440019,8443788,5452741,5452743,8443796,12474151,12480885,8451740,5459588,5459589,8424183,12455861,12480890,12470603,12470517,8439689,8439688,10775792,7119845,7119844,10775789,12463232,8431917,8431918,12463237,12464948,17620954,12476972,12476973,17648943,15697510,15697509,17630886,17630888,13372902,9139882,5981052,3740057,3740058,254647295,13372904,18777494,17635552,17635551,12466335,12437081,8441042,8441043,12471730,11279661,7487562,4731814,2850957,2850956,4731811,7487558,5444229,5444230,5429731,5429730,8413690,12438445,8406953,5456290,3354420,1971977,267800591,3354713,1972166,1971974,1125901,631398,350547,350546,631395,630336,350024,350025,630339,254186995,3346681,5443956,8432586,12458149,8426598,5439341,5439342,8412504,12444093,17624474,12473238,8442647,5451816,5439314,5439313,8426562,12458121,255905318,17851977,12642423,8584024,6878056,6878057,10432934,15126010,10715609,7079346,7079347,10715614,12186633,15786200,10936289,10936288,12365855,12365854,17532664,15781468,15781467,15084409,15084408,20117370,14427154,14427155,20117373,22120799,16007017,11112838,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532671,23877675,23626656,22121025,16007271,11113060,7370548,7370550,4656257,2805105,1627262,1627263,2805109,4656272,7370629,4656365,2805161,1627285,925330,521601,521600,925324,925293,521586,521587,925297,1627219,2805017,4656109,7370341,11112753,16006922,16007424,11113213,7370679,7370678,4656374,4656373,7370821,11113401,16007629,16007459,11113254,7370711,4656601,2805273,1627352,925378,925382,1627359,2805283,4656623,7371233,11113951,16008321,16007693,11113455,7370867,4656391,4656392,7370872,11113467,11113741,11113742,16008066,22121772,22121744,16008028,11113710,11113709,16008025,22121741,22085950,22085949,22121438,16008221,11113879,7371167,4656581,4656582,7371170,7357045,4647328,4647327,7357041,4656576,4656574,7371148,11113762,7371079,4656523,2805242,2805241,4656518,7371074,7371206,7371050,7371049,11113700,11113940,11113382,7371023,7371022,11113386,7370889,4656403,2805177,2805176,4656398,7370883,11113485,16007732,22121422,22122106,29456100,38018153,29456111,22122117,16008363,11114019,11114020,11114010,11114011,11113721,11113722,16008043,16008209,16008210,22121927,22122090,16008344,16008343,22121739,16008196,11113855,11113856,16008075,255886831,22121843,16008135,11113804,7371118,7371117,7371283,11114006,16008381,22122158,29456173,256924511,33341031,29455462,22121448,255796692,18973730,13538648,13538646,18973726,24019752,17670769,12495905,8464175,5469952,5469951,8464170,12495896,17670749,24019719,31521051,38018274,47932144,59323999,47931955,256983387,30204886,22813366,16595161,11573997,255114999,255190514,22813121,30204526,38018138,29456066,29456067,30204575,38029278,29466832,22131723,22131722,17663925,268259287,22122055,22122054,29456062,256535043,31511128,38790217,30526372,23108574,16850283,16850282,23108571,30526371,38470910,48372488,50219206,40197087,31511171,31511170,28818145,28818144,37264447,37264446,37264430,28732216,28732218,28732206,28732205,268921577,58559370,50548950,40513220,256439605,22815194,22815195,30206880,28818183,21548986,21548985,16931864,16595429,16595430,16595484,16595485,22813800,30205410,29675538,29675539,255088832,16595575,21057949,28259066,36754033,30205398,30205397,37357888,28818203,28818202,37357886,47267845,38790312,30205599,22813982,22813981,30205415,29675717,22324716,22324714,16595381,16595382,22813724,255419052,11492990,11492989,16495634,22324670,22324668,255138004,15011045,10340545,10340548,15011052,16179244,16179243,20917270,15011171,11574800,11574799,16179466,11574311,7704124,7704123,8608312,5594036,3470602,3470603,5594039,8608317,12584605,8537100,254869953,17781658,268263156,15831548,15831547,21914338,21914352,255199752,256042124,261229617,73101483,257582249,256457811,23050412,16804748,16804749,16250656,11297929,7500919,4741417,2857450,1658333,1658328,2857436,4741394,5290510,5290512,8220618,255161565,255930475,21951220,21951219,29274779,37841418,30457849,255999669,21951074,21951075,21672614,15635273,10819792,10819791,15635266,21672604,17147432,17147430,23424842,30855804,29003425,29003427,29003463,21724740,15679298,10854786,10854789,15679304,15690611,15690610,16675777,21731034,15683595,10857549,7178286,7178285,10857543,15683589,21731018,29019804,29029886,29029887,37577082,37583394,37583395,47174447,47174446,50473078,50476548,40439679,39703909,31026746,31026747,31743229,37553585,37553584,39178381,49108214,60210450,48814334,257052650,37586608,37586609,37557897,29011486,21724436,15679118,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,2052888,3461732,3461695,2053051,2053049,3462060,5579956,8587328,12647693,17859945,21739870,21739871,29030911,31746390,28170950,20990166,15678310,15678309,21723141,29009780,37555960,29025981,21735938,21735939,29025984,29025945,29025943,22415623,21731868,21731869,29020795,29036715,29036714,28210898,28210899,29035939,29045871,37593538,37571356,36813999,36814000,37568036,37560877,29014394,21726678,15680606,15680605,16368315,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,15679573,21725107,21725109,21714786,21714787,28999920,37545363,37578469,37548537,37548538,29020073,29020074,37566661,29035191,21743456,15692601,15692599,21740632,21757160,29023621,21734164,15685783,10858895,10858896,15685788,21734174,29021252,29021249,22806826,21730313,15683140,10857317,7178155,4521873,4521874,7178160,10857328,15683168,11827792,7904390,7904393,11827799,16901371,15675798,10852213,10852211,15675746,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723862,21750769,29011581,21749330,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750002,21738837,21738840,15690852,15690853,10863720,7182704,4525001,2719975,1576057,1576055,2719965,4524972,7182661,10858402,10858404,10858067,10858071,10858325,10858322,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856298,24228675 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9357550, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8089689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8089689, s2 = 6967960, int(edited[s2]) = 0 s1 = 8089689, s2 = 6967960, d1 = 26, d2 = 15 Dl.O(d1) = 29706507,22351472,22351471,29706506,31277301,31277302,255567551 Dl.O(d2) = 260721653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8089689, s2 = 6967960, dlinesl.size( ) = 2 s1 = 8089689, s2 = 6967960, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8089689, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 687570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9452660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9452660, s2 = 6449888, int(edited[s2]) = 0 s1 = 9452660, s2 = 6449888, d1 = 0, d2 = 0 Dl.O(d1) = 109804429,123940893,137619424,147839925,134713665,120914866,106661743,106661742,106661739,92357190,92357189,106661738,100608328,100608327,100608330,86640754,73038839,73038840,67578863,256615854,65369700,65369701,78674443,92737404,107076962,121373618,135223244,148389693,154197074,141533960,128176127,114293082,100263120,100263119,270110362,141533958,151509521,138809505,138809504,151509519,163391569,174242174,166002528,154249256,141592562,128241249,114363412,100338446,86381042,72784979,60046225,60046226,60046220,60046219,72784973,74348515,258264163,50091729,40070567,31388082,23891651,17545118,12375655,254595427,3319072,1952518,1115589,626103,347905,347904,626100,1115584,1952508,3319046,5397682,8362674,12375437,17544842,15803373,10950423,10950426,7246957,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,5397884,5397888,5403949,5403948,8370307,5407898,5407897,8363041,8373274,8363006,5397867,3322434,1960915,1120189,1120187,1960926,3334206,5423780,8405328,8405228,8405226,12436445,14451383,14451355,9942292,9942293,12667084,8602375,8602376,12397284,8381088,5408660,3325046,3325043,5408648,7679910,7679911,11543624,16560910,22776146,30165544,30908289,23472888,17574224,17574225,16897735,16897736,17571197,17571198,17861774,17861775,17547659,17547660,23047444,20287783,15465218,10693637,10693635,15465215,21466156,28722297,23703869,23703870,23895171,18981527,13544874,13544873,268252800,25590794,18981519,13544868,13544869,17396781,12259746,8279555,5341993,5341994,5342739,5343249,5341450,3283078,1930857,1930859,1103171,1103167,1930995,3281579,3281576,5338585,254843291,8286360,12270973,268253343,256511461,39897447,49917183,61397314,51973060,51973061,63788284,58828094,47442019,37534102,28989313,21705432,15663932,10843327,7168204,4514672,4514673,7168208,10843333,15663940,21705438,28989322,37534111,47442030,255947192,34167616,26299631 Dl.O(d2) = 109804429,123940893,137619424,147839925,134713665,120914866,106661743,106661742,106661739,92357190,92357189,106661738,100608328,100608327,100608330,86640754,73038839,73038840,67578863,256615854,65369700,65369701,78674443,92737404,107076962,121373618,135223244,148389693,154197074,141533960,128176127,114293082,100263120,100263119,270110362,141533958,151509521,138809505,138809504,151509519,163391569,174242174,166002528,154249256,141592562,128241249,114363412,100338446,86381042,72784979,60046225,60046226,60046220,60046219,72784973,74348515,258264163,50091729,40070567,31388082,23891651,17545118,12375655,254595427,3319072,1952518,1115589,626103,347905,347904,626100,1115584,1952508,3319046,5397682,8362674,12375437,17544842,15803373,10950423,10950426,7246957,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,5397884,5397888,5403949,5403948,8370307,5407898,5407897,8363041,8373274,8363006,5397867,3322434,1960915,1120189,1120187,1960926,3334206,5423780,8405328,8405228,8405226,12436445,14451383,14451355,9942292,9942293,12667084,8602375,8602376,12397284,8381088,5408660,3325046,3325043,5408648,7679910,7679911,11543624,16560910,22776146,30165544,30908289,23472888,17574224,17574225,16897735,16897736,17571197,17571198,17861774,17861775,17547659,17547660,23047444,20287783,15465218,10693637,10693635,15465215,21466156,28722297,23703869,23703870,23895171,18981527,13544874,13544873,268252800,25590794,18981519,13544868,13544869,17396781,12259746,8279555,5341993,5341994,5342739,5343249,5341450,3283078,1930857,1930859,1103171,1103167,1930995,3281579,3281576,5338585,254843291,8286360,12270973,268253343,256511461,39897447,49917183,61397314,51973060,51973061,63788284,58828094,47442019,37534102,28989313,21705432,15663932,10843327,7168204,4514672,4514673,7168208,10843333,15663940,21705438,28989322,37534111,47442030,255947192,34167616,26299631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9452660, s2 = 6449888, dlinesl.size( ) = 2 s1 = 9452660, s2 = 6449888, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9452660, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9081184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 688283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 688283, s2 = 7988009, int(edited[s2]) = 0 s1 = 688283, s2 = 7988009, d1 = 1, d2 = 1 Dl.O(d1) = 17561169,12390351,12390352,17561171,17551964,17551963,16898645,11826034,11826037,11899034,11899032,13510503,18947233,25560037,23911189,255392102,268204916,34639454,34639453,31408103,31408104,31408109,23917738,17575921,12404085,8382984,5409696,5409695,8382981,12404081,15284353,15284352,17567886,14447919,11825533,7902998,5023692,5023691,5409726,3325570,3325573,5409739,8383068,11543519,12666768,11543896,8376696,8376695,8483501,8483502,12521754,8483498,8483499,12521756,17544215,21935488,29256213,31204304,31204303,39883921 Dl.O(d2) = 17561169,12390351,12390352,17561171,17551964,17551963,16898645,11826034,11826037,11899034,11899032,13510503,18947233,25560037,23911189,255392102,268204916,34639454,34639453,31408103,31408104,31408109,23917738,17575921,12404085,8382984,5409696,5409695,8382981,12404081,15284353,15284352,17567886,14447919,11825533,7902998,5023692,5023691,5409726,3325570,3325573,5409739,8383068,11543519,12666768,11543896,8376696,8376695,8483501,8483502,12521754,8483498,8483499,12521756,17544215,21935488,29256213,31204304,31204303,39883921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 688283, s2 = 7988009, dlinesl.size( ) = 2 s1 = 688283, s2 = 7988009, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 688283, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13341533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13341533, s2 = 14186755, int(edited[s2]) = 0 s1 = 13341533, s2 = 14186755, d1 = 7, d2 = 19 Dl.O(d1) = 21253211,21252073,15287098,10552551,6959788,6959790,6961354,10554762,15289490,21239181,15271119,10551781,10551782,12065976,12065978,15290814,12255547,12255546 Dl.O(d2) = 254926724,255671596,259047585,42363889,33375038,33375037,269418500,46929847,37051783,37051782,46929846,47102017,47102018,42883588,33840281,33840282,42883589,42975419,42975414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13341533, s2 = 14186755, dlinesl.size( ) = 2 s1 = 13341533, s2 = 14186755, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13341533, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 6565086, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7171917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7171917, s2 = 10203218, int(edited[s2]) = 0 s1 = 7171917, s2 = 10203218, d1 = 7, d2 = 7 Dl.O(d1) = 263547081,165512071,153735761,141069564,271924309,75424156,75424155,75424156,270022520,8698753,8698752,256061033,259493448,268830723,12397909,8378562,5407098,3324070,1955080,1116862,626731,348231,348233,626742,1116887,1955128,3324165,5407250,8378841,12398350,17570229,256941945,260597269,273718187,186096132,263926519,186096132,262680686,260555294,100386084,100386083,86430575,258086802,48703799,38781351,256982857,44761924,35335170,256762495,55671499,68070608,58100550,46728577,37373061,28833300,21562487,15541138,10748228,7101114,4470967,2686223,1556065,884705,499202,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374304,16346567,17332499,12207366,12207367,17332501,22526000,22525999,17090647,15547224,11369911,7553598,4776713,4776712,4779328,7102190,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915500,7312266,7312265,11037876,15542228,10748978,10748977,15542226,21564009,20127212,20127213,22518191,16352897,16352898,22525917,23579089,29091034,21792839,15734198,10897301,10897302,12141828,12141827,17262204,17513861,12350224,11372431,11372430,7560341,7555193,7555192,11372343,16344132,22517557,29874868,38434202,47800293,37876461,35174897,29882446,22527091,16354267,11380858,254127582,22527094,22513966,254248068,22513923,23573649,17262240,12141860,12141859,17262238,254806592,23568163,17256668,12136665,8191882,5261287,5261288,8191884,12161525,14432943,9928087,6524872,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,8241960,11362246,254395902,254521076,11362244,16331307,22505256,29866039,254392984,16803906,23049503,28312320,21101990,21101991,22389481,17295205,17295206,23607789,31091630,38319703,29750588,29750587,23650071,23650072,22492733,22492732,22497634,16323511,16323512,255161756,8076113,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,23929774,25704524,23543873,17235645,17235644,23543871,29844787,29872258,22513731,16340044,16340045,22495371,22025127,15923948,11046689,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316967,22489968,28515534,21294307,21294305,17587965 Dl.O(d2) = 263547081,165512071,153735761,141069564,271924309,75424156,75424155,75424156,270022520,8698753,8698752,256061033,259493448,268830723,12397909,8378562,5407098,3324070,1955080,1116862,626731,348231,348233,626742,1116887,1955128,3324165,5407250,8378841,12398350,17570229,256941945,260597269,273718187,186096132,263926519,186096132,262680686,260555294,100386084,100386083,86430575,258086802,48703799,38781351,256982857,44761924,35335170,256762495,55671499,68070608,58100550,46728577,37373061,28833300,21562487,15541138,10748228,7101114,4470967,2686223,1556065,884705,499202,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374304,16346567,17332499,12207366,12207367,17332501,22526000,22525999,17090647,15547224,11369911,7553598,4776713,4776712,4779328,7102190,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915500,7312266,7312265,11037876,15542228,10748978,10748977,15542226,21564009,20127212,20127213,22518191,16352897,16352898,22525917,23579089,29091034,21792839,15734198,10897301,10897302,12141828,12141827,17262204,17513861,12350224,11372431,11372430,7560341,7555193,7555192,11372343,16344132,22517557,29874868,38434202,47800293,37876461,35174897,29882446,22527091,16354267,11380858,254127582,22527094,22513966,254248068,22513923,23573649,17262240,12141860,12141859,17262238,254806592,23568163,17256668,12136665,8191882,5261287,5261288,8191884,12161525,14432943,9928087,6524872,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,8241960,11362246,254395902,254521076,11362244,16331307,22505256,29866039,254392984,16803906,23049503,28312320,21101990,21101991,22389481,17295205,17295206,23607789,31091630,38319703,29750588,29750587,23650071,23650072,22492733,22492732,22497634,16323511,16323512,255161756,8076113,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,23929774,25704524,23543873,17235645,17235644,23543871,29844787,29872258,22513731,16340044,16340045,22495371,22025127,15923948,11046689,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316967,22489968,28515534,21294307,21294305,17587965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7171917, s2 = 10203218, dlinesl.size( ) = 2 s1 = 7171917, s2 = 10203218, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7171917, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 13328877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13473865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13367141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8135364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8135364, s2 = 14162427, int(edited[s2]) = 0 s1 = 8135364, s2 = 14162427, d1 = 1, d2 = 1 Dl.O(d1) = 47275439,58667096,71401689,59088184,59088185,53223654,42772925,33742414,25935248,25935249,33742417,42174258,33214980,25467740,21918071,15834284,15834283,21918069,29235705,37798386,47719013,42174261,42174260,52532102,59088180,47689379,37768040,29237638,21919508,15835213,15835212,21919507,29237636,37800719,39411097,37800706,37800708,47721541,55285221,47721544,37800709,37800710,47721545,59119027,49340622,39411085,39411084,49340621,49340632,49340633,59182672,60743769,60743770,65150009,53165687,42716040,33686018,25879641,254155846,27287932,20826809,14928418,12501655,8468597,254118110,17678111,15049049,15049048,17336074,12210270,12210269,10262248,6743558,6743556,10046827,6602148,6602146,10046821,14600996,20343384,27279002,27279000,26983708,26983707,30089458,22707770,16503710,11499787,10627470,255398851,28586895,24683934,18217468,12921328,8789923,5725352,3564624,2124334,2124335,3564625,5725353,8789924,12921330,18217471,20128339,18164327,18164326,20128346,14436336,9930531,9930532,14436339,14436349,254690467,4089098,2446255,2446254,4089096,6526388,9930528,14436334,12921354,12921353,18217503,24683975,32294902,41105349,44481186,47148504,41105327,41105328,44481170,35104667,27019350,27019349,32251913,41045066,51201215,41045057,32251908,32251907,41045056,51056358,41045078,257136849,41045077,269035687,41045046,32251902,24652765,18194941,254891717,8778844,12905325,18194945,24652775,32251920,41045076,51201206,41045095,41045094,32251944,32251943,41045097,41045028,41045027,41045026,41045024,50169815,40144736,31461297,31461296,32251882,24652751,23965470,23965469,31461267,23965448,23965449,31461269,40144711,50169823,40144715,31461271,23965452,17615409,17615408,12433660,8403145,5422402,3333358,3333359,5422404,8403150,12433671,12429326,12429327,17607157,12428360,12428215,8399911,5420527,3332185,254135692,5420529,5420530,8399913,12428219,17606956,23953011,23955740,17608755,17517918,267735630,8400557,5420909,5420510,5420509,267740700,12429345,17606945,12428203,12428204,17517923,12428199,254080454,254080452,8399884,8399883,12428173,17606914,17606942,17615473,17615474,17615477,254106170,23965492,23965491,267746212,23965488,17615446,17615447,23953005,17608891,12429451,12429452,17608894,23955882,31448375,31448414,31448388,23955893,23955892,31448379,23956067,17609070,12429603,8400760,5421039,3332538,3332537,5421036,8400755,12429596,12429601,12429600,17609069,23956045,17609034,12429562,8400729,5421023,3332528,3332529,5421024,8400731,12429565,17609039,17608887,12429449,12429448,254271918,31448364,31448517,23956073,17609073,17609040,17608900,254186572,12429446,254404938,17609072,254855622,31448369,23955872,23955871,17609023,17609024,23956036,17609065,12429594,12429593,17609063,17147853,12051604,12051605,17147856,16229904,16229905,22388910,23956043,31448523,40128264,40128120,31448336,23955836,23955835,254597526,23956041,23956040,31448424,23955933,17608945,12429503,12429501,254855524,254855628,40128179,40128138,40128131,40128130,40128129,50149687,40128144,40128145,50149703,61632281,61632277,50149780,40128274,31448533,23956053,23956052,254855620,50149777,58115142,46745664,46745663,50149774,50149779,53923121,62005756,256087020,40479226,50514283,61632285,74412384,62005755,50514279,40479222,31784892,31784891,40479220,42571702,53011842,61632342,50149793,40128287,31448555,23956081,23956082,254404944,46745671,41864564,41864565,52191916,63235377,63235378,53011841,256529890,42571727,42571728,48707915,60103416,50149794,40128289,40128290,50149796,58115143,46745666,37658378,29108545,29108544,37658376,33554706,25765154,25765155,33554709,42571730,53011874,64986752,76995320,64986719,53011831,257113692,25765123,19125496,19125497,25765125,33554672,38757406,48679022,60075192,68093315,81583134,68093313,60075186,50149713,40128155,40128154,50149712,61632300,50149709,42571692,33554670,33554669,42571690,48679029,38757407,38757408,48679031,41752439,32831363,25126394,25126395,32831366,41752443,33107256,33107255,42056402,52400396,64255793,74412390,267911154,254597604,61632298,63884764,71127685,58409779,47037174,37148089,37148090,47037178,58409784,58060167,58060166,63884793,63884784,52066510,52066509,41752469,32831383,25126406,18573884,18573885,25126409,31448323,40128107,50149677,40128105,31448322,23955824,17608851,17608852,23955827,31448325,40128109,41752451,41752450,52066496,42056381,33107237,33107238,41752485,32831396,25126415,18573888,18573887,25126413,32831393,41752481,52066521,42056386,33107242,33107241,42056384,42056393,42056392,42056370,41752490,33107244,255659395,13381547,9146669,254443153,3742756,5985589,9146675,13381560,18787649,25372132,18787644,13381556,13381555,268294081,33107280,42056356,33107276,33107277,42056429,52400404,269371092,42056433,52400406,64255800,73479694,81031026,67561858,55218285,44367169,34989061,26908280,26908279,34989059,44367165,55218277,67561843,81031012,95089206,109343362,100891791,86911446,86520637,72922724,60183643,48787188,48787187,60183641,72922721,86520635,87786858,74182542,74182541,269491026,58300730,258044235,84580267,98505457,101759970,87786868,81133874,67667221,55327318,55327317,67667219,61402600,61402601,74182562,76027391,63044662,257766042,61402591,257312478,84580268,76027300,74182558,67667225,257312480,39903205,39903204,49922871,44481213,35104708,256746597,256622592,49922888,39903216,31226426,23742951,17418218,17418220,23742954,31226432,39903219,49922890,257312428,39903211,39903210,49922882,44481162,44481163,55327264,55327329,67667207,67667203,55327299,55327300,67667205,67667210,55327309,44481208,44481209,55327312,61402588,49922889,39903218,39903217,44481221,35104715,35104716,44481223,44481227,55327330,67667230,81133879,73177768,269193084,44481241,44481240,257312476,55327322,55327321,66856433,66856434,67667213,67667234,55327338,44481242,256221230,61402592,60430890,49027225,39098276,30502331,30502332,39098279,49027232,41177381,32361480,32361481,41177383,44481229,35104721,27019403,20128380,20128381,27019404,35104722,44481232,55327325,55327324,66856438,54597930,43853776,43853774,54597926,66856432,55329297,255746244,65042832,53059914,42612179,33588207,33588208,42612181,53059918,65042836,73177766,60430884,49027222,49027223,60430886,54597938,44484860,35107850,27021913,20130263,14437669,9931442,9930985,9930986,14437035,20129407,26898784,27019519,20128458,20128457,27019517,35104854,27019523,20128463,14436428,9930597,6526432,4089130,254471879,9930589,14436411,20128441,27019496,35104830,44481350,35107221,27021432,27021430,35107218,35106751,27021045,27021046,254116764,24744968,18271700,12967768,8826401,5751047,3580957,3580958,5751049,8826405,8826315,8826314,12967607,18271423,14437367,9931218,9931217,14437365,20129886,20128432,14436402,9930576,9930574,14436399,18271759,12967809,9931219,9931220,14437368,12967830,8826448,5751073,3580969,2133849,1231245,696818,390680,216709,216708,390676,696810,1231227,2133813,3580898,5750953,5750967,3580906,2133817,2133816,3580905,5750965,8826252,12967513,18271292,12967519,12967518,18271297,18271304,256081135,24744368,24744322,24744323,24744326,32360594,41176365,51362539,41176395,41176396,32360627,24744354,18271289,18271288,255227507,8826248,5750961,5750962,8826250,255227509,24744348,24744347,24744346,256592793,41176392,41176391,32360617,24744344,18271341,18271342,14429538,12967533,8826267,8826266,9048464,9048465,13260990,14429537,9925665,6523385,4087291,2445255,2445257,4087294,6523390,254976655,20120843,27013050,35099797,41819404,41819403,256608106,27013068,27013069,35099778,27013036,27013035,35099776,35099853,27013085,20120849,20120850,27013087,35099855,44476833,55323123,67663297,67663207,55323040,55323041,67663209,55323050,44476780,44476779,55323048,67663217,67663291,55323119,44476830,256746205,35099816,35099817,44476793,55323069,67663225,67663157,67663156,81130305,259788727,270137393,67663236,81130363,77296973,64147907,52295609,52295608,64147905,77296971,91217380,81130358,81130357,91430690,77499510,64335146,64335147,61963200,256551402,88397624,102398628,91486623,77555824,64387632,64387631,77555823,91486621,103904600,101602079,87635281,74031818,61251840,61251841,71990667,67663261,67663260,74031799,61251825,61251824,74031797,68087732,55689672,55323101,55323100,67663271,67663267,55323096,55323097,64682627,52768309,42369252,42369251,52768307,61251821,74031793,87635264,259596622,81130375,95188786,81130376,77499509,64335145,52467513,52467512,257785924,88412827,74781531,74781530,88412826,95193402,81135845,67669461,67669460,81135843,88412811,77517291,64352037,64352036,74613535,74613536,74781546,74781535,74781534,84764472,91430698,91903419,88412829,74781533,61985416,50493490,40457590,40457591,50493492,55323112,44476827,44476826,55323110,61985411,61985410,61985430,50493502,40457596,40457595,50493500,61821667,74613534,256865256,58474881,58474882,71196251,74781540,61985431,61985432,52865729,42461780,42461779,52865728,257100771,31763137,24251329,17873880,12657400,12657399,17873878,24251323,256552573,257100763,40457570,257684045,48816907,38895483,256993261,58841360,58841361,58841327,58841328,71568274,74781527,74781528,74781526,61985396,61985397,68087716,68087715,74781497,74781504,61985376,50493457,40457567,31763111,24251313,24251312,31763109,40457562,50493453,40457582,31763121,31763120,40457580,50493476,61985402,58841325,47455545,47455544,58841324,71568268,61985424,50493498,50493497,61985422,74781537,85138283,81577555,81577556,74781516,61985384,58841356,47455576,37547592,37547591,47455574,50493442,61985362,74781495,67663336,55323160,44476863,35099873,35099872,44476862,37547580,37547581,47455552,58841332,257675313,50358275,61842242,58633025,58633024,47455611,37547612,29001875,21716340,15672871,10850086,255050731,21716334,29001867,37547598,47455571,37547590,29001863,29001860 Dl.O(d2) = 47275439,58667096,71401689,59088184,59088185,53223654,42772925,33742414,25935248,25935249,33742417,42174258,33214980,25467740,21918071,15834284,15834283,21918069,29235705,37798386,47719013,42174261,42174260,52532102,59088180,47689379,37768040,29237638,21919508,15835213,15835212,21919507,29237636,37800719,39411097,37800706,37800708,47721541,55285221,47721544,37800709,37800710,47721545,59119027,49340622,39411085,39411084,49340621,49340632,49340633,59182672,60743769,60743770,65150009,53165687,42716040,33686018,25879641,254155846,27287932,20826809,14928418,12501655,8468597,254118110,17678111,15049049,15049048,17336074,12210270,12210269,10262248,6743558,6743556,10046827,6602148,6602146,10046821,14600996,20343384,27279002,27279000,26983708,26983707,30089458,22707770,16503710,11499787,10627470,255398851,28586895,24683934,18217468,12921328,8789923,5725352,3564624,2124334,2124335,3564625,5725353,8789924,12921330,18217471,20128339,18164327,18164326,20128346,14436336,9930531,9930532,14436339,14436349,254690467,4089098,2446255,2446254,4089096,6526388,9930528,14436334,12921354,12921353,18217503,24683975,32294902,41105349,44481186,47148504,41105327,41105328,44481170,35104667,27019350,27019349,32251913,41045066,51201215,41045057,32251908,32251907,41045056,51056358,41045078,257136849,41045077,269035687,41045046,32251902,24652765,18194941,254891717,8778844,12905325,18194945,24652775,32251920,41045076,51201206,41045095,41045094,32251944,32251943,41045097,41045028,41045027,41045026,41045024,50169815,40144736,31461297,31461296,32251882,24652751,23965470,23965469,31461267,23965448,23965449,31461269,40144711,50169823,40144715,31461271,23965452,17615409,17615408,12433660,8403145,5422402,3333358,3333359,5422404,8403150,12433671,12429326,12429327,17607157,12428360,12428215,8399911,5420527,3332185,254135692,5420529,5420530,8399913,12428219,17606956,23953011,23955740,17608755,17517918,267735630,8400557,5420909,5420510,5420509,267740700,12429345,17606945,12428203,12428204,17517923,12428199,254080454,254080452,8399884,8399883,12428173,17606914,17606942,17615473,17615474,17615477,254106170,23965492,23965491,267746212,23965488,17615446,17615447,23953005,17608891,12429451,12429452,17608894,23955882,31448375,31448414,31448388,23955893,23955892,31448379,23956067,17609070,12429603,8400760,5421039,3332538,3332537,5421036,8400755,12429596,12429601,12429600,17609069,23956045,17609034,12429562,8400729,5421023,3332528,3332529,5421024,8400731,12429565,17609039,17608887,12429449,12429448,254271918,31448364,31448517,23956073,17609073,17609040,17608900,254186572,12429446,254404938,17609072,254855622,31448369,23955872,23955871,17609023,17609024,23956036,17609065,12429594,12429593,17609063,17147853,12051604,12051605,17147856,16229904,16229905,22388910,23956043,31448523,40128264,40128120,31448336,23955836,23955835,254597526,23956041,23956040,31448424,23955933,17608945,12429503,12429501,254855524,254855628,40128179,40128138,40128131,40128130,40128129,50149687,40128144,40128145,50149703,61632281,61632277,50149780,40128274,31448533,23956053,23956052,254855620,50149777,58115142,46745664,46745663,50149774,50149779,53923121,62005756,256087020,40479226,50514283,61632285,74412384,62005755,50514279,40479222,31784892,31784891,40479220,42571702,53011842,61632342,50149793,40128287,31448555,23956081,23956082,254404944,46745671,41864564,41864565,52191916,63235377,63235378,53011841,256529890,42571727,42571728,48707915,60103416,50149794,40128289,40128290,50149796,58115143,46745666,37658378,29108545,29108544,37658376,33554706,25765154,25765155,33554709,42571730,53011874,64986752,76995320,64986719,53011831,257113692,25765123,19125496,19125497,25765125,33554672,38757406,48679022,60075192,68093315,81583134,68093313,60075186,50149713,40128155,40128154,50149712,61632300,50149709,42571692,33554670,33554669,42571690,48679029,38757407,38757408,48679031,41752439,32831363,25126394,25126395,32831366,41752443,33107256,33107255,42056402,52400396,64255793,74412390,267911154,254597604,61632298,63884764,71127685,58409779,47037174,37148089,37148090,47037178,58409784,58060167,58060166,63884793,63884784,52066510,52066509,41752469,32831383,25126406,18573884,18573885,25126409,31448323,40128107,50149677,40128105,31448322,23955824,17608851,17608852,23955827,31448325,40128109,41752451,41752450,52066496,42056381,33107237,33107238,41752485,32831396,25126415,18573888,18573887,25126413,32831393,41752481,52066521,42056386,33107242,33107241,42056384,42056393,42056392,42056370,41752490,33107244,255659395,13381547,9146669,254443153,3742756,5985589,9146675,13381560,18787649,25372132,18787644,13381556,13381555,268294081,33107280,42056356,33107276,33107277,42056429,52400404,269371092,42056433,52400406,64255800,73479694,81031026,67561858,55218285,44367169,34989061,26908280,26908279,34989059,44367165,55218277,67561843,81031012,95089206,109343362,100891791,86911446,86520637,72922724,60183643,48787188,48787187,60183641,72922721,86520635,87786858,74182542,74182541,269491026,58300730,258044235,84580267,98505457,101759970,87786868,81133874,67667221,55327318,55327317,67667219,61402600,61402601,74182562,76027391,63044662,257766042,61402591,257312478,84580268,76027300,74182558,67667225,257312480,39903205,39903204,49922871,44481213,35104708,256746597,256622592,49922888,39903216,31226426,23742951,17418218,17418220,23742954,31226432,39903219,49922890,257312428,39903211,39903210,49922882,44481162,44481163,55327264,55327329,67667207,67667203,55327299,55327300,67667205,67667210,55327309,44481208,44481209,55327312,61402588,49922889,39903218,39903217,44481221,35104715,35104716,44481223,44481227,55327330,67667230,81133879,73177768,269193084,44481241,44481240,257312476,55327322,55327321,66856433,66856434,67667213,67667234,55327338,44481242,256221230,61402592,60430890,49027225,39098276,30502331,30502332,39098279,49027232,41177381,32361480,32361481,41177383,44481229,35104721,27019403,20128380,20128381,27019404,35104722,44481232,55327325,55327324,66856438,54597930,43853776,43853774,54597926,66856432,55329297,255746244,65042832,53059914,42612179,33588207,33588208,42612181,53059918,65042836,73177766,60430884,49027222,49027223,60430886,54597938,44484860,35107850,27021913,20130263,14437669,9931442,9930985,9930986,14437035,20129407,26898784,27019519,20128458,20128457,27019517,35104854,27019523,20128463,14436428,9930597,6526432,4089130,254471879,9930589,14436411,20128441,27019496,35104830,44481350,35107221,27021432,27021430,35107218,35106751,27021045,27021046,254116764,24744968,18271700,12967768,8826401,5751047,3580957,3580958,5751049,8826405,8826315,8826314,12967607,18271423,14437367,9931218,9931217,14437365,20129886,20128432,14436402,9930576,9930574,14436399,18271759,12967809,9931219,9931220,14437368,12967830,8826448,5751073,3580969,2133849,1231245,696818,390680,216709,216708,390676,696810,1231227,2133813,3580898,5750953,5750967,3580906,2133817,2133816,3580905,5750965,8826252,12967513,18271292,12967519,12967518,18271297,18271304,256081135,24744368,24744322,24744323,24744326,32360594,41176365,51362539,41176395,41176396,32360627,24744354,18271289,18271288,255227507,8826248,5750961,5750962,8826250,255227509,24744348,24744347,24744346,256592793,41176392,41176391,32360617,24744344,18271341,18271342,14429538,12967533,8826267,8826266,9048464,9048465,13260990,14429537,9925665,6523385,4087291,2445255,2445257,4087294,6523390,254976655,20120843,27013050,35099797,41819404,41819403,256608106,27013068,27013069,35099778,27013036,27013035,35099776,35099853,27013085,20120849,20120850,27013087,35099855,44476833,55323123,67663297,67663207,55323040,55323041,67663209,55323050,44476780,44476779,55323048,67663217,67663291,55323119,44476830,256746205,35099816,35099817,44476793,55323069,67663225,67663157,67663156,81130305,259788727,270137393,67663236,81130363,77296973,64147907,52295609,52295608,64147905,77296971,91217380,81130358,81130357,91430690,77499510,64335146,64335147,61963200,256551402,88397624,102398628,91486623,77555824,64387632,64387631,77555823,91486621,103904600,101602079,87635281,74031818,61251840,61251841,71990667,67663261,67663260,74031799,61251825,61251824,74031797,68087732,55689672,55323101,55323100,67663271,67663267,55323096,55323097,64682627,52768309,42369252,42369251,52768307,61251821,74031793,87635264,259596622,81130375,95188786,81130376,77499509,64335145,52467513,52467512,257785924,88412827,74781531,74781530,88412826,95193402,81135845,67669461,67669460,81135843,88412811,77517291,64352037,64352036,74613535,74613536,74781546,74781535,74781534,84764472,91430698,91903419,88412829,74781533,61985416,50493490,40457590,40457591,50493492,55323112,44476827,44476826,55323110,61985411,61985410,61985430,50493502,40457596,40457595,50493500,61821667,74613534,256865256,58474881,58474882,71196251,74781540,61985431,61985432,52865729,42461780,42461779,52865728,257100771,31763137,24251329,17873880,12657400,12657399,17873878,24251323,256552573,257100763,40457570,257684045,48816907,38895483,256993261,58841360,58841361,58841327,58841328,71568274,74781527,74781528,74781526,61985396,61985397,68087716,68087715,74781497,74781504,61985376,50493457,40457567,31763111,24251313,24251312,31763109,40457562,50493453,40457582,31763121,31763120,40457580,50493476,61985402,58841325,47455545,47455544,58841324,71568268,61985424,50493498,50493497,61985422,74781537,85138283,81577555,81577556,74781516,61985384,58841356,47455576,37547592,37547591,47455574,50493442,61985362,74781495,67663336,55323160,44476863,35099873,35099872,44476862,37547580,37547581,47455552,58841332,257675313,50358275,61842242,58633025,58633024,47455611,37547612,29001875,21716340,15672871,10850086,255050731,21716334,29001867,37547598,47455571,37547590,29001863,29001860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8135364, s2 = 14162427, dlinesl.size( ) = 2 s1 = 8135364, s2 = 14162427, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8135364, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 7928622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 489009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 690771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7849353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7849353, s2 = 13696883, int(edited[s2]) = 0 s1 = 7849353, s2 = 13696883, d1 = 48, d2 = 42 Dl.O(d1) = 8429933,8416414,5431643,3338950,1963531,1963532,3338952,5431647,8416419,8416992,5432072,5432071,8411481,5428115,3336881,3336879,254406125,254858417,12437605,17619435,23968989,23979971,17636248,17636249,23976142,17647152 Dl.O(d2) = 261110264,126618222,139972341,262661649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7849353, s2 = 13696883, dlinesl.size( ) = 2 s1 = 7849353, s2 = 13696883, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7849353, Dl.E( ) = 62, 2.6e-05 seconds used appending s1 = 14163128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7831597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7831597, s2 = 14123366, int(edited[s2]) = 0 s1 = 7831597, s2 = 14123366, d1 = 118, d2 = 97 Dl.O(d1) = 8408630,5425983,3335521,3335519,5425977,5429351,5429353,8413143,8441248,5450629,254601175 Dl.O(d2) = 258894999 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13398407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13182679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6546146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6546146, s2 = 11810703, int(edited[s2]) = 0 s1 = 6546146, s2 = 11810703, d1 = 23, d2 = 4 Dl.O(d1) = 255818328 Dl.O(d2) = 23843885,256521075,23844004,17502994,12341738,8337910,8337909,12341734,17502989,17502956,12341703,8337889,5381583,3309279,3309280,5381586,8337897,12341712,16943168,23215224,23844009,30638358,30638188,23215053,16943044,11858012,11858011,255523567,30638180,39236265,39236431,30638374,255523583,16943192,23215266,17502958,16943294,16943295,17502978,16942406,16942407,17502697,12341508,12341509,17502699,17502991,23844000,30638190,39236272,39236192,30638112,23214977,16942968,16942967,17503045,17503043,256470627,23213796,16942016,16942021,11857986,11857988,11858207,11858206,14967861,15195423,21148951,23214962,23214960,16943389,11858273,11858274,16943391,11858530,7925290,7924647,5037676,5037675,7924645,8119242,7924731,7924732,10440630,7925264,7925265,11858512,11858555,11858147,11858145,11858004,7924916,7924917,11858007,16942418,16942417,11857995,7924908,7924909,11857548,7924626,5037657,3049965,3049964,5037654,7924619,7924499,5037903,3050094,3050093,3049875,1776749,1776748,1776796,3049954,5037639,5037573,5037574,5038030,7925102,5037952,3050116,1776933,1776935,3050189,5038066,7925279,5038056,5038055,7925276,7912356,5029922,5029921,7912352,7924861,7924862,10481131,10481132,15195444,16942938,11858420,7925202,5038023,5037507,5037508,7924394,11857256,11857265,7924398,5037707,3049987,1776817,1013004,571004,571005,1013010,1776828,3050007,1776923,1013061,1013060,1776800,3049961,5037647,7924603,11857559,16925391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6546146, s2 = 11810703, dlinesl.size( ) = 8 s1 = 490489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13359097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 490829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342306, s2 = 8004545, int(edited[s2]) = 0 s1 = 10342306, s2 = 8004545, d1 = 20, d2 = 26 Dl.O(d1) = 19422047,13895675 Dl.O(d2) = 258322009,32096083,32096084,40867822,38396647,29824275,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925873,13544380,16598506,16598505,268649425,258796993,259745356,268165096,81584849,254464654,27242675,20311843,14576783,254095120,27242670,35366004,44790279,55697580,254679330,95618880,109823798,111859061,97924857,84054140,70519014,57817673,46461494,36595186,28122026,255369381,15036360,20944713,255720656,36595189,46461500,57817683,267942828,50225590,254464648,50225586,50225584,254960334,55697576,55697566,44790265,35365998,35365999,44790266,254464632,46461502,254960328,254960330,97924875,268528106,256190976,70519025,84054153,81584839,68095009,68094994,254679322,81584824,68095000,254464634,44790273,44790272,55697571,68095006,81584833,84054148,97924869,255309674,81584819,255309672,84054166,70519033,70519034,84054160,84054161,95618872,81584830,81584831,271183977,84054163,95618875,255720594,125675023,111859069,257271224,125675017,111859063,111859062,255720596,91137109,91137111,105355089,97924862,84054145,70519017,256190878,257866232,91137112,256190886,52233939,52233940,41898095,41898097,52233946,64079333,52233563,52233562,64079331,77222105,64079805,255850566,41898081,52233924,64079803,77222803,91138038,105356332,102392312,258483750,61957823,50461790,40424272,40424271,269412825,74757936,64079824,52233937,41898090,32960028,32960027,41898088,52233935,64079820,77222823,91138060,91137116,77222101,77222102,91137117,77222820,64079818,52233933,41898085,32960026,32960025,41898083,52233929,256884480,91138049,257271228,258483752,130321976,116486512,102392302,88391833,74757934,61957819,61957818,74757930,88391831,259325860,130321971,119586046,116486524,102392311,91138058,77222819,64079816,64079814,64079815,77222818,91138057,91138046,91138042,258075426,119587518,259944910,146699690,133452329,133452330,143646112,143646113,146699685,143646110,130321967,116486508,116486506,130321964,133452325,119587516,258075424,91138041,105356334,119587515,105356337,105356336,105356344,270817734,146699686,133452327,133452328,259325862,119587529,133452342,271618200,156176536,167773433,261123336,146699706,143646108,143646107,156176533,146699684,146699683,259745148,133452323,271979081,257464640,269320852,91138053,77222814,77222813,91138051,105356343,119587524,133452338,146699697,271618202,146699702,156176539,143646127,130321988,130321987,143646124,136361489,122377252,122377251,130321978,130321977,143646116,133452335,119587522,119587521,133452333,136361445,257271124,161924548,149627287,136361499,260363770,136361487,122377248,122377249,122377234,122377233,271618204,93513627,79377036,79377037,93513630,107950930,122377259,136361497,149627241,136361476,136361477,136361449,122377203,122377202,136361447,257866138,173075972,161924576,161924577,161924536,149627242,136361471,260071106,270355386,86921398,100901753,114954327,107950922,107950921,122377246,136361485,149627281,136361495,122377257,122377256,136361437,257271128,136361450,149627259,161924549,149627254,149627255,149627264,161924556,173075971,258483660,259745142,149627243,149627244,161924540,149627245,259745150,114954325,260071108,107950920,260363773,136361483,149627280,161924572,149627283,149627282,137645886,123964054,123964053,137645884,149627262,256710866,107950872,107950873,122377208,136361455,149627266,258483666,161924544,149627248,136361441,122377199,122377200,136361443,122377243,270073622,161924552,149627260,136361451,136361452,136361453,257866142,161924558,161924567,259745144,122377219,122377218,136361465,149627276,161924566,161924560,149627267,136361457,136361456,149627250,257866146,162739915,161924580,150643731,257866148,107950879,93513568,93513567,256710862,136361462,149627271,161924562,173075976,259113582,161924564,149627273,136361467,122377220,122377211,107950875,107950874,268528084,109823788,95618860,95618861,109823790,123964050,272062511,107950866,122377196,136361430,122377186,107950858,107950859,122377189,136361431,136361458,136361459,122377266,122377264,107950947,93513654,93513655,107950948,95618865,81584816,68094986,68094985,81584814,255309598,79376971,93513557,107950860,256710858,107950955,107950956,95618856,81584810,255309596,122377181,107950963,107950888,107950889,107950958,93513662,79377069,66008888,53938485,53938486,66008891,66008892,66008814,53938421,43411441,34310102,34310103,43411444,53938425,66008820,256710860,271670021,95618855,255720494,122377180,107950850,107950852,107950887,93513669,79377076,66008894,53938490,43411494,43411493,53938488,55245770,67587467,259113572,109366476,107950883,93513571,93513572,93513665,107950960,114102979,127987712,127987713,123557787,256710856,100072312,86106923,256710854,256959567,29927322,256416981,48391253,59774274,72508311,86106919,259113578,93513666,107950961,122377267,136361501,149627293,154019759,154019745,141350458,127987706,259745140,137289916,141350463,260880312,114102967,127987710,141350468,142138681,142138679,128785449,114889605,100839258,86858330,86858329,100839256,114889602,259406532,149627291,149627290,261748682,262555388,185871173,262262280,272223192,154770883,142138686,128785445,128785446,142138689,154367746,154154679,141489144,141489145,154019748,165786724,261766640,176563937,263187968,272875996,176441166,165786722,165786723,176441168,262279156,262262286,177057430,166476162,166476161,177057429,185871171,177057426,175848360,175848362,165126282,165126281,261766660,154367790,141720537,128375555,128375556,141720539,154367792,153315149,140636228,127290340,113431644,113431645,258803306,128375566,260644100,141720535,128375554,258803308,257571254,72922546,86520447,85488076,71902968,71902969,85488078,257571252,114501673,100478424,100478425,260644085,128375560,271356262,141720592,260043984,128375626,127290337,113431641,113431636,113431637,100478469,86520492,86520491,99429686,113431642,258803304,116146212,116146213,130055093,141720547,154367798,143386132,260043980,140636219,128375632,114501735,100478471,271356265,141720603,261219932,165126271,153315139,140636217,140636218,260043978,175848358,166112719,166112718,176746333,261219928,141720601,141720596,128375629,128375630,141720600,154367842,261766652,186154770,194354629,194354630,201378150,263930678,273139056,195303813,193641791,193641793,200747171,273364964,207288566,207288550,207288551,201378185,201378186,201378191,194354710,186154777,176746346,166112728,166112729,262279148,176746342,166112724,154367841,154367840,261766650,180985649,180985651,189863892,197519655,194354698,186154766,186154761,186154762,189863894,180985653,170866200,170866201,180985654,263725897,204038397,209477488,273927715,189863897,189863898,197519656,204038392,197519650,197519649,273728776,201378181,194354701,194354697,186154765,176746339,176746340,180985637,189863888,197519651,204038394,209477486,207288570,273874731,186154774,176746344,166112726,261766646,147180052,147180051,159538655,262939217,170866208,180985659,170866214,170866215,180985665,180985631,170866170,170866169,263725895,180985657,170866204,170866203,273559378,170866182,262939221,159538661,147180056,133957874,120116074,120116073,133957872,147180054,159538657,262939219,273238243,180985635,170866173,159538627,147180045,147180044,159538643,170866195,180985647,180985621,180985622,170866205,159538669,147180064,147180063,159538636,170866185,180985642,260644092,165126275,175848359,261766656,147180043,133957867,133957866,147180041,159538637,170866187,262279154,263578836,170866192,170866163,261982011,133957859,133957858,133957857,272378667,120116076,271046177,91696853,105904205,120116079,133957883,133957863,120116066,105904197,105904198,105904235,105904234,120116098,120116103,133957892,120116086,105904225,105904226,105904238,91696881,77769379,64586446,258415275,91696873,105904188,105904181,105904180,105904228,91696868,77769372,77769368,64586440,64586441,77769370,91696865,105904223,260880311,133957890,120116083,271995921,105904242,91696886,269999671,52685849,42299151,33318457,33318458,269085387,52685825,52685824,64586412,77769338,91696825,77769353,64586429,52685852,42299156,42299155,258415277,91696893,91696891,77769383,74489745,258415271,52685833,42299141,42299140,257799571,52685816,42299128,33318451,33318452,42299137,52685829,52685854,42299159,33318462,25556433,25556432,257208399,257208401,33318463,33318464,42299146,33318456,33318455,42299144,52685838,61706946,61706947,74489748,79378837,66010589,61706944,269403134,61706935,50225540,50225541,61706941,61706925,50225526,50225512,50225513,43413348,34311951,34311953,40203357,31516602,24015334,24015335,31516603,40203360,50225565,53938934,53938932,257238750,59261879,257271308,40203316,31516574,24015317,17667241,12493136,8461594,5467236,254602991,12493137,17667243,24015321,256535527,256190858,19694828,19694829,26432908,32828705,32828704,41749370,52063114,61706932,50225532,40203331,40203330,50225530,61706930,254960314,50225548,47818407,37896395,37896394,47818405,268796026,31516609,24015337,17667253,12493143,254602993,3361860,3361863,5467247,254862757,6877629,10432277,15125058,21056738,28257674,28258057,36753130,36747871,28252601,21052092,15121538,10429923,6876243,6876244,10428901,15119836,21049767,21050000,28249263,256831422,18082669,12819809,12819812,18082671,18084662,18084661,24514671,32088101,32087654,256574373,32087286,40180680,40180681,258895883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8091867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9069555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9721092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 491939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 491939, s2 = 11629022, int(edited[s2]) = 0 s1 = 491939, s2 = 11629022, d1 = 18, d2 = 52 Dl.O(d1) = 12513887,8477679,5479938,3372104,1984217,1984214,3372093,5479910,8477627,12513802,17692719,12513706,12513705,15581113,255580273,28763385,21503572,15701276,15701275,12513769,12513770,10869351,7186508,4527499,2721576,1577071,1577072,896642,896641,1577079,2721584,4527519,7186546,10869430,15701452,15953488,15953487,22057478,28886131,21755815,15701509,15701508,21755813,29049730,29632259,24044989,17692654,12513911,8477697,5479942,5479943,8477619,8477618,12513790,15701170,17692831,23805031,17471766,12317952,12317953,17471772,23805043,256353483,31549017,31549018,37596782,29048985,21755305,15701190,10869285,7186475,7186474,255424943,29048976,37596765,255533218,31548800,31548969,31548968,40234622,31548698,24045196,17692821,17692820,20880875,28049325,28049272,255362741,14978623,20880843,21755353,15701255,15701256,15701195,15701194,21755313,28049288,28049287,29049579,29049578,29049023,268622085,29049011,29632255,28049246,28049247,36513478,40234917,31548965,24045393,17692963,17692964,24045396,31548970,36610020,255786692,40234908,50254319 Dl.O(d2) = 222265912,274674414,266537140,266686508,238393278,239033924,274836433,267390725,267425835,245534237,267402182,245480850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 491939, s2 = 11629022, dlinesl.size( ) = 2 s1 = 491939, s2 = 11629022, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 491939, Dl.E( ) = 64, 2.5e-05 seconds used appending s1 = 13289017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13289017, s2 = 1186503, int(edited[s2]) = 0 s1 = 13289017, s2 = 1186503, d1 = 26, d2 = 1 Dl.O(d1) = 18541506,18541507,23263165,23263164,30679798,31145706,23658916,17342134,12215715,8245922,5317462,3266382,3266383,254586305,12215738,17342171,23658959 Dl.O(d2) = 30110948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13289017, s2 = 1186503, dlinesl.size( ) = 2 s1 = 13289017, s2 = 1186503, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13289017, Dl.E( ) = 36, 1.38e-05 seconds used appending s1 = 694579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 694579, s2 = 9151937, int(edited[s2]) = 0 s1 = 694579, s2 = 9151937, d1 = 0, d2 = 3 Dl.O(d1) = 17706863,256033199,40255398,40255387,256033197,17706853,254864963,5487606,5487607,8486722,12524972,17706860,24062019,31567754,40255394,50276839,61756987,74540812,88155543,102146256,260736829,143450153,155990465,167601293,178065263,187303052,195343370,202218328,264572711,216664629,218358587,218358586,264270124,205523739,199290352,199290351,191922999,262318232,162529578,150399231,137357977,123625765,109432280,95176126,81117701,67651151,55311757,44465867,43171511,42683466,33653232,33653230,256492318,65120074,55462929,44614242,44614243,52523423,42165022,33204841,25457616,25457617,33204846,269080567,53910269,43386070,34287023,34287025,43386072,53910273,65977124,79341495,268429810,86051258,86051257,93473857,93473856,95330706,81271765,67804375,55462943,55462944,67804377,78402445,65120079,53134577,53134579,53134572,53134573,65120072,65977151,53910295,43386082,34287032,34287031,43386080,257864089,59181141,47781936,37858132,29289313,29289314,37858124,29289308,29289307,37858120,37858126,47781931,59181132,65977117,53910267,53910266,65977113,65977120,65977121,79341493,93473813,107905980,114041806,100014514,100014513,107906015,107906014,109585872,109585871,95330710,81271766,81271767,93473836,93473833,93473834,79341525,79341526,93473843,93473848,79341532,79341531,85504752,71919413,59181178,47781962,37858154,29289324,21962791,255876199,15869204,10998790,10998789,15869202,21962782,29289311,37858130,47781932,59181134,65977108,65977107,59181168,59181167,71919400,259353125,113448475,113448478,113448477,127307384,115305921,115305922,109589992,95335140,95335138,93473839,79341523,65977143,53910286,53910288,65977145,79341529,93473845,107906009,99446343,85504758,85504759,85504750,85504746,99446337,85504743,71919408,59181181,47781964,37858155,29289326,29289327,37858157,47781969,59181161,47781950,44617649,44617650,55466708,67808444,71919432,257494191,37858160,37858158,47781972,59181193,71919431,81276085,67808423,55466687,44617637,35235604,27140080,20232523,20232521,27140077,256757157,257922499,81276075,81276094,71919414,258727995,257494189,47781966,59181186,71919421,67808440,55466704,44617647,269196353,67808439,81276101,95335154,109590012,99446346 Dl.O(d2) = 67808384,81276039,95335098,81276047,67808391,67808392,258542921,95335142,109589995,114290055,109451276,95196712,81139869,81139870,95196716,85889473,72296702,72296701,78402085,67808363,55466641,44617602,44617598,44617597,55466634,67808357,78402078,92438368,258849516,115305845,115305846,271301028,119957077,119957078,109589939,95335069,81276011,259171813,95335096,109589957,109589965,123779896,125947119,123643720,109451267,95196706,81139865,67674026,55334685,55334686,59562266,48175646,48175645,59562264,72296703,85889476,99844233,106743431,92438379,78402087,65119642,53134029,53134028,65119639,78402083,92438374,101227616,87226873,87226874,101227620,105721312,91496869,77565699,77565700,91496871,105721314,119957081,272095989,109589955,123779889,134791995,125947122,112113170,98153743,84259938,70708767,57992019,46616154,36728437,28234462,21036967,21036966,28234459,256125294,57992012,257785726,98153737,112113168,100271255,100271257,114005461,99980513,99980512,92438371,92438370,92438372,106743428,115305844,101227613,101227612,115305842,125947115,119957084,119957085,133824764,123779885,123779886,120995993,106743434,106743432,92438383,257037606,53134030,42682803,42682804,53134033,57992007,46616151,46616150,57992014,70708765,84259936,72712861,72712862,268429808,72422692,86019871,99980515,114005465,269778346,256856884,52523412,52523413,64397287,77565705,91496878,91496884,77565708,77565707,91496882,101227683,87226935,73604884,73604885,76933632,90809862,78402090,65119645,53134036,42682811,33652481,33652475,25848068,19193144,19193143,25848066,33652472,42682799,53134027,65119633,78402076,72712867,59975868,48584161,38668068,38668067,38390391,38390390,268247178,65119631,53134023,53134024,52523416,42165017,33204836,25457613,25457614,33204839,42165019,52523421,256856886,65119627,65119625,78402065,73604882,63826006,52010245,41698604,32782240,32782238,267991856,19193150,13707722,9388798,9388797,13707718,19193147,25848070,33652479,42682807,44465864,35089492,27003806,20113306,20113307,24292197,31806966,40502149,50537295,62028864,74825506,71073503,269488948,37103104,256318572,15384137,255031734,7017739,10631463,15384139,21362922,28595421,37103114,37103113,37721708,37721714,47643788,59045441,58854541,257139684,21728566,15681934,12919290,9275455,9275452,12919300,12919298,15681971,13783363,13783366,19281430,19159557,19159558,18214664,12919221,12919224,18214677,24680346,28680895,31893233,256562989,50652130,62161166,74972839,86537617,72939702,60200957,48804672,48804671,60200955,72939699,86537615,86413627,84380455,84380456,98289558,112271269,112271270,258447184,104889563,92565153,84380454,70821813,58105259,46733899,36851302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 694579, s2 = 9151937, dlinesl.size( ) = 2 s1 = 694579, s2 = 9151937, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 694579, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 10165972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6450447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6450447, s2 = 695184, int(edited[s2]) = 0 s1 = 6450447, s2 = 695184, d1 = 11, d2 = 9 Dl.O(d1) = 254606415 Dl.O(d2) = 17719074,12535618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6450447, s2 = 695184, dlinesl.size( ) = 2 s1 = 6450447, s2 = 695184, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6450447, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 695222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13271695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7989877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 697155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 697155, s2 = 13678600, int(edited[s2]) = 0 s1 = 697155, s2 = 13678600, d1 = 0, d2 = 57 Dl.O(d1) = 17767891 Dl.O(d2) = 77889992,91811085,77890156,71218441,64701007,64701006,77889962,65220088,65220087,71218437,78036224,78036225,91963440,91811116,257237136,42387589,33398368,33398367,42387586,257806205,77889995,77889994,91811109,77890021,64701080,64701081,64701089,52787158,42387610,33398382,25632014,19015956,13571859,13571860,19015958,25632018,33398389,42387621,52787179,64701114,77890048,91811152,260291211,128452251,128452252,261182018,120205290,106005040,106005041,114518165,100494334,86535614,72937342,258804851,100494330,100494322,86535608,86535607,100494318,114518148,106005058,100538718,86577920,86577921,100538723,114568999,260645562,114569010,100538730,86577924,86577923,100538727,114569003,128452282,141804489,141804476,134038166,120205269,120205268,134038164,147254637,141804506,128452297,128452298,141804508,154450719,162126330,166186035,154450709,141804494,128452287,260645564,154450707,147254662,134038191,120205306,120205307,134038193,134038195,134038187,120205303,120205302,128452299,141804511,154450721,154266904,141804492,128452284,260645560,128452268,141804472,141804495,154450711,154385217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 697155, s2 = 13678600, dlinesl.size( ) = 20 s1 = 139413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7989666, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13317003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13289305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13289305, s2 = 2021254, int(edited[s2]) = 0 s1 = 13289305, s2 = 2021254, d1 = 33, d2 = 17 Dl.O(d1) = 3394126,3394125,5505258,5543977,3474229,2061084,2061082,3375779,3433141,3390588,3390587,5501071,6016823,6016824,9191206,8506530,8506529,5523278,254609149,8499523,11127815,10847381,8557866,8489326,5490371,5490370,5496590,5496589,5497681,5497679,5566742,3450697,2044194,1171914,657815,364648,199434,199433,364644,657805,651887,361524,361525,651890,1161722,2028928,1168209,655654,363523,198892,198893,363527,655662,644897,357873,357872,644893,1149600,1166037,1996998,3389443,3440122,3439859,3439858,3414950,3414951,5529066,8531066,7894190,5015014,3033194,2006124,2006125,3396201,5507552,5513659,3457429,3404425,3399618 Dl.O(d2) = 52534774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13289305, s2 = 2021254, dlinesl.size( ) = 2 s1 = 13289305, s2 = 2021254, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13289305, Dl.E( ) = 52, 1.62e-05 seconds used appending s1 = 699276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 495328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 495328, s2 = 3974652, int(edited[s2]) = 0 s1 = 495328, s2 = 3974652, d1 = 22, d2 = 13 Dl.O(d1) = 12595233,8546376,5544732,5544730,8504418,5599066,3475510,3435044,2031903,1163713,1163714,2031906,3435048,5549914,7460910,4714569,2840171,2840172,4714574,7460919,11239870,8573609,5569484,5569483,8573607,12628012 Dl.O(d2) = 143603322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 495328, s2 = 3974652, dlinesl.size( ) = 2 s1 = 495328, s2 = 3974652, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 495328, Dl.E( ) = 40, 1.1e-05 seconds used appending s1 = 496842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 701286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6451054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1834524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7946441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7946441, s2 = 6464459, int(edited[s2]) = 0 s1 = 7946441, s2 = 6464459, d1 = 82, d2 = 73 Dl.O(d1) = 53214740,65200544,78485023,92525039,84300758,70749107,58034854,58034853,70749080,84300737,71092510,58376347,47006094,37119947,28609739,21374777,17910267,268264773,17909740,23426901,255023876,23722378,23722379 Dl.O(d2) = 22886401,255501573,16640735,16399068,11548954,11548953,11631337,11610991,7730768,4893900,2953879,2953881,4901084,7689100,7731798,4894697,2949771,2949772,4894698,254799665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7946441, s2 = 6464459, dlinesl.size( ) = 2 s1 = 7946441, s2 = 6464459, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7946441, Dl.E( ) = 84, 3.29e-05 seconds used appending s1 = 703635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13291105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13291105, s2 = 7853281, int(edited[s2]) = 0 s1 = 13291105, s2 = 7853281, d1 = 25, d2 = 22 Dl.O(d1) = 33222822,25474967,18873745,18873744,25474966,256378965,22058947,22058948,25474923,25474924,22058960,22058961,29389711,33222745,33222747,42182730,47873376,52541723,47873395,37954911,37954912,256761318,37954779,255665880,59268980,64416275,52541755,42182808,33222805,33222806,42182811,36632778,28158356,28158355,31800593,24286510,24286509,31800591,40495668,50531286,54871016,44070670,34753973,34753972,44070667,54871013,67190373,80665057,74786897,74786899,64416256,52541732,42182789,33222791,25474948,25474949,19293647,13794228,13794227,19293644,25958289,33767086 Dl.O(d2) = 9446140,254285004,255490836,10346113,6811661,4272362,2554411,2554410,2531266,254321659,1471544,832343,469388,263933,263932,469386,832338,1471536,2554589,2554587,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263784,6787837,5930117,3707929,2220531,1288160,1288159,2220529,3707928,2537864,1462364,827696,467187,262865,145640,254084293,467189,419028,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,3708566,2220925,2220922,1478244,1288290,735514,735515,1288256,1289487,736115,418483,236227,130353,130354,236231,418493,736136,1289533,2223039,3712317,3720911,2228007,1292167,737515,737516,1292172,2228022,3720944,4488391,2696470,2696471,4488393,6831133,10350614,6815403,5934325,5934323,9074439,13272892,12661004,12661006,10294322,6767647,6767646,6818419,9086289,5943487,5943486,4258319,3719669,3719671,5947950,6802879,6802877,5924926,4308672,2576395,1483888,1483889,2576321,2230271,2230272,3723650,5954304,7672761,7672762,10299706,6772258,6772259,9058269,5922362,3703254,2218034,254202979,1292552,2228755,3722248,5951990,8600935,8599417,8130059,5585380,5585379,5585538,5585537,8596227,12660529,13297553,18682114,13289303,9072122,5932567,3712955,2223386,1289702,1289701,2223382,3712947,5938032,9079409,257436151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13291105, s2 = 7853281, dlinesl.size( ) = 2 s1 = 13291105, s2 = 7853281, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13291105, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 704921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 704921, s2 = 1535586, int(edited[s2]) = 0 s1 = 704921, s2 = 1535586, d1 = 11, d2 = 6 Dl.O(d1) = 17952197,12721514,8644159,5622026,3596617,2144975,2144977,2074913,1192013,670295,670298,1192019,2074926,3492767,2154221,1246290,1246294,708946,708948,1247272,2153107,3607055,5786638,254899063,13032315,18355675,13038523,13038522,8880242,8880241,13038525,18362445,24455148,18424502,13087047,8918125,5819830,3630496,3630494,5819827,254901463,18424499,256093033 Dl.O(d2) = 1199852,2086708,3494679,2173014,254435045,8880225,13038508,18362418,24858929,256053135,24342939,31865337,40567210,50608554,258302201,63284575,51565887,41343587,41343586,51565874,41343583,41343585,51565879,63284570,63584991,51799066,41521159,32635164,24965381,18446632,13103807,13103808,18417714,18362448,13038528,13032317,13032316,255232927,8880231,8880232,13038516,18362436,268474207,24928838,18417713,13081687,8914191,8914190,13081685,18417709,24928831,255630295,255630297,256601627,257741977,51565889,41343588,41343586,51565874,41343583,256108080,18357430,18357431,24853865,24965383,18446633,13103811,8930605,5828928,254293389,1258657,1258656,2173280,3637152,4449891,2673365,1548619,880412,496763,278499,153621,153622,153630,153633,278526,496824,254159859,2673818,4450732,7069090,10700004,12067582,8114618,5198673,3171680,1856658,1856656,3171677,5198670,8114612,11304811,7505449,4744258,4744260,7505454,10698467,13509038,12064753,8112450,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067399,6954347,4369592,4369593,6954352,10544921,15278859,19608808,25575184,22984440,22984439,30387010,38973523,48894051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 704921, s2 = 1535586, dlinesl.size( ) = 2 s1 = 704921, s2 = 1535586, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 704921, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 14161271, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1271772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162742, s2 = 11655919, int(edited[s2]) = 0 s1 = 14162742, s2 = 11655919, d1 = 46, d2 = 49 Dl.O(d1) = 254529142,20011901,14332175,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713527,2839584,2839583,4713541,4713819,7459901,11239141,11239142,15738185,15738184,19703116,19703115,22183223,21795977,15736735,15736734,21795975,29093747,36763730,28268425,21065849,15131668,12312757,12312756,9740937,6405241,4018542,2408003,1393345,1393346,2408007,4018552,6405260,9740959,10681434,7055901,4441905,2668096,1545118,878110,254159577,2668099,4441908,7055904,10681438,15449043,10681444,7055907,4441909,4441908,7055905,10681440,15449040,15449041,21445361,28697050,28697048,28697049,21445360,21445359,28697049,256327365 Dl.O(d2) = 269312192,28697063,37222707,47120416,47120415,37222711,37222709,257447675,47120420,37222699,28697053,28697054,256868187,47120421,58498967,71220999,84789844,98717498,112712884,126577115,261108011,126577111,139941482,152648394,164498740,175273288,184834469,262748561,154285075,141629770,128279818,114403990,100381035,86425434,72830482,60093172,257563091,38774716,30190969,22800980,16584021,11564405,7697099,7697100,4906442,2957248,1714762,1714761,2957245,4906437,7747712,10416255,11426991,7596027,4804902,4804900,7596019,11426983,7600938,4808445,4808446,7600941,7748083,7748084,7329564,4630195,4630194,2789391,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2232928,1294948,739145,420192,420194,739152,1294957,2232937,1714975,974415,974416,974462,1715045,2957755,2893192,2893191,4800009,7588550,9119370,5967034,5967033,7329047,4629822,4629821,7329044,11053533,15930412,11413784,7585114,7585115,9119708,11423140,7593038,4803027,4803026,7593034,9117166,13343729,13345212,11450925,7616194,4818780,2903905,1684554,1684553,2903903,4818692,4818693,7614637,4817660,4811519,2899780,2899781,4811523,7605395,11437741,16421632,22022034,29353288,37920840,29953681,22589824,16407291,11423715,11423716,16407293,22589828,255323094,38518306,48425868,59811783,62493842,257119575,32021495,24459990,18041123,12788632,267919099,3518948,2093194,2093195,3518950,5658586,6530648,4091987,2448190,2448189,4091985,6530644,9936301,9936561,9936565,14444106,15348004,10602201,6995119,6995118,9766451,7051351,7051350,8655472,5629903,5629904,8655475,9133261,5976820,5976821,9133267,13364143,9935808,9935806,6995838,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653709,5853212,5675836,3530150,2100882,2100881,254886883,18090475,255913794,32253849,28836251,255094702,23646193,31133917,31260928,23775751,17446043,12297728,8305708,8305712,12297708,12295519,8304442,8304438,12295536,17442632,23771077,28492899,28344382,21843493,15773651,255430321,29151698,37711906,47634127,52817735,42416185,33425542,25657381,25657382,33425544,42416188,44634217,55484262,51077464,40935728,268090692,22372780,254360764,8514451,5512948,254241874,17748564,17743674,267791492,31605131,40288921,32776477,26629559,23579152,17267339,12146791,8176675,8176674,12146788,14196203,9758907,268042957,26629739,26630254,26632370,19821034,19821035,22345975,17839940,12633119,8577689,8577686,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574698,8579955,12636862,16041921,22163952,29503493,255937206,59368726,72101291,85687102,99635806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162742, s2 = 11655919, dlinesl.size( ) = 50 s1 = 9731938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9179984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 709674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16276020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16276020, s2 = 9703273, int(edited[s2]) = 0 s1 = 16276020, s2 = 9703273, d1 = 84, d2 = 62 Dl.O(d1) = 211298003,215398841,265168211,224104863,226235756,228090665,229718242,231162476,232456951,233626906,234690884,235661764,236546526,266654641,238495689,237801631,237038162,236203048,235286815,234281281,233176077,231953618 Dl.O(d2) = 199154048,191760249,262624986,162263344,150095065,137017741,123249932,109024772,94744554,80666506,67191846,54872362,44071849,34755037,26735073,19900045,16297440,11339251,7535317,7535318,11339253,14598437,14598438,20340511,22383635,22383634,20346519,20346518,21625537,254481268,31139586,31316862,23827410,17489845,255173462,14523914,9993531,9993532,14523915,20240556,27151102,35249450,44633839,257923479,270664117,95348248,109600994,123789227,261565663,162659426,263029083,262085915,137360603,137360602,150401895,262085913,137360603,137360602,137360601,123628337,259788075,81120223,259160499,55314295,44468370,35091844,27005860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16276020, s2 = 9703273, dlinesl.size( ) = 2 s1 = 16276020, s2 = 9703273, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16276020, Dl.E( ) = 86, 3.7e-05 seconds used appending s1 = 7123526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7123526, s2 = 7174378, int(edited[s2]) = 0 s1 = 7123526, s2 = 7174378, d1 = 18, d2 = 24 Dl.O(d1) = 262883610,18139014 Dl.O(d2) = 272665481,194335990,263576694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7123526, s2 = 7174378, dlinesl.size( ) = 14 s1 = 8351169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8351169, s2 = 8467355, int(edited[s2]) = 0 s1 = 8351169, s2 = 8467355, d1 = 29, d2 = 10 Dl.O(d1) = 38044273,38044272,47957441,258116157,85667926,85667927,88666866,75017923,257696503,31906897,24375446,17977114,17977113,18144942,12866732,268126619,256070607,269634842,32176754,40955866 Dl.O(d2) = 102484992,88478748,74843063,256644870,102485000,116586329,119960024,133827558,259659760,130427898,116586336,116586337,130427878,143754192,260276448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8351169, s2 = 8467355, dlinesl.size( ) = 12 s1 = 6529191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6529191, s2 = 8208213, int(edited[s2]) = 0 s1 = 6529191, s2 = 8208213, d1 = 11, d2 = 23 Dl.O(d1) = 255615679 Dl.O(d2) = 18155547,24603538,32191319,40970881,51113020,62744320,257705588,42325797,33344664,33344663,257802075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6529191, s2 = 8208213, dlinesl.size( ) = 14 s1 = 8082966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1295970, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1285849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9331446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9359374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13978631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 716549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 716549, s2 = 3925907, int(edited[s2]) = 0 s1 = 716549, s2 = 3925907, d1 = 8, d2 = 23 Dl.O(d1) = 18269636 Dl.O(d2) = 141540531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 716549, s2 = 3925907, dlinesl.size( ) = 2 s1 = 716549, s2 = 3925907, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 716549, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 717585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 717848, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7994327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8399678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8399678, s2 = 7160276, int(edited[s2]) = 0 s1 = 8399678, s2 = 7160276, d1 = 33, d2 = 19 Dl.O(d1) = 260556522,259782516,270305375,47557402,37652114,29103154,21805013,15744190,10904041,7211533,7211534,10904042,15744193,12124176,12124177,17241138,17241082,17241083,23548952,31030054,39707075,49725675,52878587,257684276,19081003,13622635,9328067,6110281,6110280,9328063,13622626,19080987,25708023,33481572,37556128,47463594,41851959,32922809,25208254,25208253,32922804,33481599,33481082,25707576,19080602,254934103,9327930,13622373,19080600,25707570,33481074,30256216,30256217,38839713,33481125,30256156,30256155,256007368,25767453,19127704,13657295,13657294,19127702,22860878,256147379,25707374,33480905,38840151,38840150,38867321,30281753,22884154,255946673,21852228,15803868,10950871,7247345,7247346,10950872,15803870,268374325,15062702,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603270,16454562,22169485,16046002,16046005,13622355,13622354,19080569,22860131,16633845,11603113,11603114,15062587,15062588,20972988,16634007,11603210,7724248,4889213,2946298,1708717,971276,547018,306341,306343,547029,254170405,2946357,254798905,256087293 Dl.O(d2) = 263402273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8399678, s2 = 7160276, dlinesl.size( ) = 38 s1 = 719033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13231583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 719108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 719108, s2 = 11655935, int(edited[s2]) = 0 s1 = 719108, s2 = 11655935, d1 = 7, d2 = 7 Dl.O(d1) = 18340039,18340038,24833880,32473759,41319544,44813334,44813333,55719888,61420118,61420119,49942074,39924345,31248766,23764355,255169747,8300381,8300383,12290372,17436484,23764359,31248771,39924350,49942076,61420121,74198711 Dl.O(d2) = 18340039,18340038,24833880,32473759,41319544,44813334,44813333,55719888,61420118,61420119,49942074,39924345,31248766,23764355,255169747,8300381,8300383,12290372,17436484,23764359,31248771,39924350,49942076,61420121,74198711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 719108, s2 = 11655935, dlinesl.size( ) = 2 s1 = 719108, s2 = 11655935, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 719108, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 14997666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 154136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 154776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13960279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7995308, s2 = 2655546, int(edited[s2]) = 0 s1 = 7995308, s2 = 2655546, d1 = 39, d2 = 6 Dl.O(d1) = 8951129,5842399,5842401,5913330,5842686,3645926,254092656,8951631,13133896,13133897,254435680,8951155,8951156,13133934,8951138,5842404,5842406,8951141,8951653,13134756,254435696,13133962,8951159,8951160,13133965,13134763,18488326,25018290,32701905,32700268,25016910,25016909,18488272,18488270,25018300,32701911,254636852,25017099,18488303,13134747,13134748,18488306,25017078,18487296,13134019,13134020,18487149,18487148,25016894,32700255,25018457,18488435,18487219,13133947,8951148,8951149,254636844,13133889,13133888,18487140,13134759,13134760,18488322,25018362,32700378,41603196,41603213,32700392,25017002,25014132,25014131,32696548,32700261,25016904,25016903,25016863,18487129,18487130,25016868,25016970,25016971,267948538,25018353,25016915,25016914,32700276,32700329,32700330,32701907,255638200,51903025,51903024,255638192,32696374,25016886,25016887,25018348,18488300,18488299,25018345,32701972,41604904,51904602,41604932,32701997,32700397,32700398,32700217,32700216,41603026,41603009,254982376,63709678,71870307,67553251,55209603,51279239,41100819,32291460,32291461,41100821,254903710,63707322,65375368,65375367,256755730,255754046 Dl.O(d2) = 74851438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7995308, s2 = 2655546, dlinesl.size( ) = 2 s1 = 7995308, s2 = 2655546, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7995308, Dl.E( ) = 50, 1.79e-05 seconds used appending s1 = 723611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8061066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9021898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9021898, s2 = 14273477, int(edited[s2]) = 0 s1 = 9021898, s2 = 14273477, d1 = 51, d2 = 48 Dl.O(d1) = 255230761,8975754,5859709,5859710,8975757,13005793,13005792,18322284,24383711,24638179,18532246,13167600,13167601,18122537,18122536,24561671,18532244,13167599,13167598,18532243,25074950,32772016,41688502,257692390,50600522,40559643,257692395,269416926,256052672,24638182,24638181,256052670,40921477,255207496,18122539,12850180,8738335,8738336 Dl.O(d2) = 17682124,17682127,17682126,256030869,40221785,31535687,31535688,257667273,74502016,74502018,257667275,40221787,31535690,24033205,256030869,257084221,258275995,50241861,50241860,61720653,258898539,260137169,260733783,260733789,260733787,261848455,167547368,167547367,167547368,263252091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9021898, s2 = 14273477, dlinesl.size( ) = 2 s1 = 9021898, s2 = 14273477, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9021898, Dl.E( ) = 70, 2.88e-05 seconds used appending s1 = 878238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8487750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8487750, s2 = 8625033, int(edited[s2]) = 0 s1 = 8487750, s2 = 8625033, d1 = 0, d2 = 0 Dl.O(d1) = 261309365,130122714,116211478,102150221,102150220,102150215,102150214,116211473,130122709,272270611,130122713,261309367,143454317,130122710,116211469,102150210,88159639,74545087,61761716,258279215,270910177,116211467,102150208,102150207,116211465,130122708,261309365,130122714,130122711,116211475,116211467,102150208,88159638,258643590,61761712,61761713,61761717,61761721,50282257,40261441,31574465,31574464,24069001,17713056,12530007,8491132,8491129,12530001,17713052,15017348,10345317,6810996,6811000,10345318,11034841,15913238,21028123,15103693,15103694,15103635,11034890,7309650,7309649,4613629,2778075,2778076,267888381,11034901,254519767,2778024,1611621,916891,916893,1611626,2778030,4613542,7309672,11034927,10417383,6867386,6867387,10417386,15103733,254729274,21028124,15103637,10417311,255012979,12334691,8332777,5378105,5378104,8332776,12334687,17493852,23832490,31322941,38401511,29829307,22461984,16293953,11741688,7839354,4976279,3005995,3005996,4976284,7839360,11741696,11741699,7839362,4976285,4976286,7839364,11336146,16293231,255029184,18326699,13009259,8856952,5772702,5772701,8856947,13009250,18326701,24817100,24817098,268472385,11233364,7454535,4710037,4710036,7454532,8091573,8091572,8562018,8562019,12613705,17815907,22313303,22313302,16169317,11237150,11237151,16169320,16165016,16165017,11236155,7457185,7457186,8562033,8562034,12613712,255556365,12274623,254844631,8288506,254870955,8482724,5483564,5483565,5512238,5485837,5485838,254864781,5523455,3410105,2012203,2012201,3410101,5523450,8506468,5506926,3395632,3395631,5506922,6014591,6014590,254922071,18862552,23147621,30564929,39162545,37326533,28790053,256103119,18538634,13172457,13172458,18538637,25082540,25082541,32779863,41696219,52007870,49139045,39212235,255203790,16927459,16927460,17031955,254617016,255203782,256047494,60651698,49251238,39324894,30727075,256478009,49251236,258186982,256762704,255758882,17047785,23309283,23309284,23001852,16762029,11714833,7816486,4958989,4958988,7816480,7816319,7816318,11714616,11714647,7816534,7816531,11714700,12667398,8602578,7816368,7816367,11714680,11716425,11716422,12674506,16763475,11716061,11716062,16763268,14555849,10015714,6582867,4124426,4124424,4958561,4958562,4959759,7816067,4958658,2993977,2993976,4958653,7816062,7817219,10492510,6918937,4346653,4346652,6918932,10492502,255384269,23003067,30406932,23001844,23001836,16762008,16762007,255510011,11714655,11714654,16761792,23001595,23001627,23001320,17883779,16763920,11716400,7817692,4959898,4959899,7817694,11714384,11714385,16761507,14555842,14555841,16763035,16761352,11714202,11714203,16761354,23001239,16761822,11714687,7816374,4958902,4958901,7816370,11714682,16761322,11715995,7817399,7817400,11715998,16763427,23003072,30407912,38996970,257579063,48919530,38995704,38995705,256998653,30407564,23002653,16763028,11715668,7817112,254370391,2994827,4959698,7817402,255126359,23001375,23002657,16763039,254806347,4959421,2994562,1738969,1738968,254370359,7817116,4959422,4959423,4959188,267898005,7816543,7816578,7816577,11714486,16761599,16761566,11714462,7816185,7816184,7817670,4959886,2994957,2994833,1739194,988372,556074,556073,988368,1739189,1738962,988209,555962,310929,171899,171901,310931,555967,988216,1738973,1739131,1739130,2994236,4958977,7816465,4959614,4959445,2994598,1739001,1739000,1739168,1739166,1738847,1738848,1738865,1738800,1738802,2994150,2994151,1738818,1738819,2994072,2994130,2994054,2994053,2994390,4959182,4958634,2994790,1739159,988351,556058,310972,310971,556054,988346,988398,988033,555874,555873,555985,555983,988244,1739026,1738947,988293,988292,556069,556070,988365,1739187,2994630,2994631,2994738,2994737,4959611,4958970,4958971,2994794,254370387,4959111,2994348,1738829,1738796,1738797,2994292,4959041,4959081,7816261,4958830,4958831,4959180,4959179,4959513,2994669,2994670,4959518,2994785,2994784,4959665,7817367,7816249,254370285,1738664,1738666,2994100,2994098,4958805,2994535,1738943,988200,988199,1738940,2994531,4959390,2994818,2994817,4959689,7817300,4959621,4959619,7817066,11715143,7816780,4959671,4959670,7816777,7816256,4959065,2994316,1738808,1738809,2994318,4959068,4959626,7817305,11715133,7816761,7816760,4959536,2994677,1739064,1739065,2994681,4959542,7817210,7817232,4959558,2994688,2994689,4959559,2994810,2994811,4959322,2994485,1738917,988182,555949,555950,988188,1738926,2994511,4959363,4959412,7817107,11715661,11714893,11714892,7817073,7817071,11715605,11714539,7816252,4958817,2994118,2994119,4958824,7816257,268096893,23001449,16762081,255510041,11715127,254553905,4959189,254806311,16762367,23002096,30407145,23002628,16762988,16762990,23002630,23002821,23002822,23002064,16762318,16762317,16762324,23002061,23002497,16762804,11715486,11715485,16762801,16763180,255954373,21542330,23002028,16762267,11715056,11715055,16762265,268273428,15525660,15525663,256335753,28810114,21542429,15525848,10737763,7094430,4466755,4466756,7094434,10737776,15525865,21542447,28810121,28809972,21542248,15525641,15525640,10737705,10737706,15525785,21542380,21542411,15525829,10737748,7094419,4466750,4466749,7094417,10737742,15525818,21542401,28810099,37348525,28810005,21542288,15525682,11716192,11716193,16762271,254889378,7816695,11715059,11715069,11715152,7816786,4959217,4959218,7816788,11715159,16762393,268215406,26657782,19843720,19843721,26657786,30445472,34649120,43922337,37657930,29108116,29108115,37657928,47564035,268392804,52845806,52845804,64765606,72317807,59997765,256975541,38690787,37774280,29212338,29212339,37774282,47695678,59094071,71833924,59094061,59094062,71833926,72735013,59997861,59997860,72734893,72734894,59997856,59997778,48606260,38690802,38690803,38690736,38690735,48606197,51334413,63015413,75998761,89776287,88172557,74557704,61774016,50294184,50294185,61774018,74557672,88172508,102163207,116224229,116224288,116224285,116224284,130134865,130134866,130134867,143465667,258993712,130612200,143919648,156426530,167990248,178371720,178371718,167950911,156377668,143859812,130539506,116702339,102603620,258926955,62144088,74953545,88595564,88595560,74953543,62144087,50637861,50637860,62144085,50637859,40590030,31882950,31882951,40590032,50637863,62144090,74953547,88595566,102603617,88595563,74953544,62144087,50637861,40590031,40590032,50637863,62144090,74953547,88595566,102603617,88595563,74953544,62144087,50637861,50637860,62144086,74953537,74953538,88595556,102603615,88685673,75035027,62212161,50692395,50692396,62212162,75035029,88685675,260169749,116787535,113471330,99461221,85515325,85515324,99461219,99461222,85515326,259353779,113471331,105554244,270511547,52412227,42068462,256123243,13391285,18798542 Dl.O(d2) = 261309365,130122714,116211478,102150221,102150220,102150215,102150214,116211473,130122709,272270611,130122713,261309367,143454317,130122710,116211469,102150210,88159639,74545087,61761716,258279215,270910177,116211467,102150208,102150207,116211465,130122708,261309365,130122714,130122711,116211475,116211467,102150208,88159638,258643590,61761712,61761713,61761717,61761721,50282257,40261441,31574465,31574464,24069001,17713056,12530007,8491132,8491129,12530001,17713052,15017348,10345317,6810996,6811000,10345318,11034841,15913238,21028123,15103693,15103694,15103635,11034890,7309650,7309649,4613629,2778075,2778076,267888381,11034901,254519767,2778024,1611621,916891,916893,1611626,2778030,4613542,7309672,11034927,10417383,6867386,6867387,10417386,15103733,254729274,21028124,15103637,10417311,255012979,12334691,8332777,5378105,5378104,8332776,12334687,17493852,23832490,31322941,38401511,29829307,22461984,16293953,11741688,7839354,4976279,3005995,3005996,4976284,7839360,11741696,11741699,7839362,4976285,4976286,7839364,11336146,16293231,255029184,18326699,13009259,8856952,5772702,5772701,8856947,13009250,18326701,24817100,24817098,268472385,11233364,7454535,4710037,4710036,7454532,8091573,8091572,8562018,8562019,12613705,17815907,22313303,22313302,16169317,11237150,11237151,16169320,16165016,16165017,11236155,7457185,7457186,8562033,8562034,12613712,255556365,12274623,254844631,8288506,254870955,8482724,5483564,5483565,5512238,5485837,5485838,254864781,5523455,3410105,2012203,2012201,3410101,5523450,8506468,5506926,3395632,3395631,5506922,6014591,6014590,254922071,18862552,23147621,30564929,39162545,37326533,28790053,256103119,18538634,13172457,13172458,18538637,25082540,25082541,32779863,41696219,52007870,49139045,39212235,255203790,16927459,16927460,17031955,254617016,255203782,256047494,60651698,49251238,39324894,30727075,256478009,49251236,258186982,256762704,255758882,17047785,23309283,23309284,23001852,16762029,11714833,7816486,4958989,4958988,7816480,7816319,7816318,11714616,11714647,7816534,7816531,11714700,12667398,8602578,7816368,7816367,11714680,11716425,11716422,12674506,16763475,11716061,11716062,16763268,14555849,10015714,6582867,4124426,4124424,4958561,4958562,4959759,7816067,4958658,2993977,2993976,4958653,7816062,7817219,10492510,6918937,4346653,4346652,6918932,10492502,255384269,23003067,30406932,23001844,23001836,16762008,16762007,255510011,11714655,11714654,16761792,23001595,23001627,23001320,17883779,16763920,11716400,7817692,4959898,4959899,7817694,11714384,11714385,16761507,14555842,14555841,16763035,16761352,11714202,11714203,16761354,23001239,16761822,11714687,7816374,4958902,4958901,7816370,11714682,16761322,11715995,7817399,7817400,11715998,16763427,23003072,30407912,38996970,257579063,48919530,38995704,38995705,256998653,30407564,23002653,16763028,11715668,7817112,254370391,2994827,4959698,7817402,255126359,23001375,23002657,16763039,254806347,4959421,2994562,1738969,1738968,254370359,7817116,4959422,4959423,4959188,267898005,7816543,7816578,7816577,11714486,16761599,16761566,11714462,7816185,7816184,7817670,4959886,2994957,2994833,1739194,988372,556074,556073,988368,1739189,1738962,988209,555962,310929,171899,171901,310931,555967,988216,1738973,1739131,1739130,2994236,4958977,7816465,4959614,4959445,2994598,1739001,1739000,1739168,1739166,1738847,1738848,1738865,1738800,1738802,2994150,2994151,1738818,1738819,2994072,2994130,2994054,2994053,2994390,4959182,4958634,2994790,1739159,988351,556058,310972,310971,556054,988346,988398,988033,555874,555873,555985,555983,988244,1739026,1738947,988293,988292,556069,556070,988365,1739187,2994630,2994631,2994738,2994737,4959611,4958970,4958971,2994794,254370387,4959111,2994348,1738829,1738796,1738797,2994292,4959041,4959081,7816261,4958830,4958831,4959180,4959179,4959513,2994669,2994670,4959518,2994785,2994784,4959665,7817367,7816249,254370285,1738664,1738666,2994100,2994098,4958805,2994535,1738943,988200,988199,1738940,2994531,4959390,2994818,2994817,4959689,7817300,4959621,4959619,7817066,11715143,7816780,4959671,4959670,7816777,7816256,4959065,2994316,1738808,1738809,2994318,4959068,4959626,7817305,11715133,7816761,7816760,4959536,2994677,1739064,1739065,2994681,4959542,7817210,7817232,4959558,2994688,2994689,4959559,2994810,2994811,4959322,2994485,1738917,988182,555949,555950,988188,1738926,2994511,4959363,4959412,7817107,11715661,11714893,11714892,7817073,7817071,11715605,11714539,7816252,4958817,2994118,2994119,4958824,7816257,268096893,23001449,16762081,255510041,11715127,254553905,4959189,254806311,16762367,23002096,30407145,23002628,16762988,16762990,23002630,23002821,23002822,23002064,16762318,16762317,16762324,23002061,23002497,16762804,11715486,11715485,16762801,16763180,255954373,21542330,23002028,16762267,11715056,11715055,16762265,268273428,15525660,15525663,256335753,28810114,21542429,15525848,10737763,7094430,4466755,4466756,7094434,10737776,15525865,21542447,28810121,28809972,21542248,15525641,15525640,10737705,10737706,15525785,21542380,21542411,15525829,10737748,7094419,4466750,4466749,7094417,10737742,15525818,21542401,28810099,37348525,28810005,21542288,15525682,11716192,11716193,16762271,254889378,7816695,11715059,11715069,11715152,7816786,4959217,4959218,7816788,11715159,16762393,268215406,26657782,19843720,19843721,26657786,30445472,34649120,43922337,37657930,29108116,29108115,37657928,47564035,268392804,52845806,52845804,64765606,72317807,59997765,256975541,38690787,37774280,29212338,29212339,37774282,47695678,59094071,71833924,59094061,59094062,71833926,72735013,59997861,59997860,72734893,72734894,59997856,59997778,48606260,38690802,38690803,38690736,38690735,48606197,51334413,63015413,75998761,89776287,88172557,74557704,61774016,50294184,50294185,61774018,74557672,88172508,102163207,116224229,116224288,116224285,116224284,130134865,130134866,130134867,143465667,258993712,130612200,143919648,156426530,167990248,178371720,178371718,167950911,156377668,143859812,130539506,116702339,102603620,258926955,62144088,74953545,88595564,88595560,74953543,62144087,50637861,50637860,62144085,50637859,40590030,31882950,31882951,40590032,50637863,62144090,74953547,88595566,102603617,88595563,74953544,62144087,50637861,40590031,40590032,50637863,62144090,74953547,88595566,102603617,88595563,74953544,62144087,50637861,50637860,62144086,74953537,74953538,88595556,102603615,88685673,75035027,62212161,50692395,50692396,62212162,75035029,88685675,260169749,116787535,113471330,99461221,85515325,85515324,99461219,99461222,85515326,259353779,113471331,105554244,270511547,52412227,42068462,256123243,13391285,18798542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8487750, s2 = 8625033, dlinesl.size( ) = 2 s1 = 8487750, s2 = 8625033, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8487750, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 6531418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6531418, s2 = 3505320, int(edited[s2]) = 0 s1 = 6531418, s2 = 3505320, d1 = 13, d2 = 6 Dl.O(d1) = 255643405 Dl.O(d2) = 115971521,101927130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6531418, s2 = 3505320, dlinesl.size( ) = 2 s1 = 6531418, s2 = 3505320, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6531418, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 14490316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14490316, s2 = 727199, int(edited[s2]) = 0 s1 = 14490316, s2 = 727199, d1 = 7, d2 = 7 Dl.O(d1) = 9001316,13204213,18580669 Dl.O(d2) = 9001316,13204213,18580669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14490316, s2 = 727199, dlinesl.size( ) = 2 s1 = 14490316, s2 = 727199, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14490316, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 727200, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13253737, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 729359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6605351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6605351, s2 = 11069012, int(edited[s2]) = 0 s1 = 6605351, s2 = 11069012, d1 = 64, d2 = 66 Dl.O(d1) = 256463593,256624003,255647263,255246618,13657162 Dl.O(d2) = 15193586,10479740,10479739,15193585,21146571,28362321,36860532,28362394,28362395,36860718,39773420,36473602,28013230,268074344,10281480,10281479,14947213,14496393,14496394,20202587,27102375,35191292,44569415,36696493,36696494,36696509,36696510,44569474,35191338,28362028,21146373,15193502,10479696,10479695,15193498,21146441,28362130,36860402,39773453,44569444,256766655,35388580,36860345,28362079,21146408,21146407,28361940,28361941,28362332,27102390,27102391,28205965,36696542,46582994,51364418,41178306,33921556,26088048,19398689,19398690,26088050,33921559,39768299,32175171,24588918,18144028,12866198,8749936,8749937,8907713,13072028,18403608,19537494,26255955,31511885,40197717,43208369,53720257,44569431,39953463,39953464,49970071,59551118,50219734,40197712,40197713,32453992,32453991,35156246,35156245,28205868,28205869,33149120,42049692,42049687,33101030,33101029,42049684,44532403,35156218,27070344,20175250,14475365,9959708,6545867,4100924,2453109,2453110,4100928,6545875,9959722,14475387,20175288,27070399,35156322,44532544,47678575,37756345,29195032,255625240,10953468,7249471,7249472,255060631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6605351, s2 = 11069012, dlinesl.size( ) = 2 s1 = 6605351, s2 = 11069012, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6605351, Dl.E( ) = 68, 1.91e-05 seconds used appending s1 = 730914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 731645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 731645, s2 = 8650228, int(edited[s2]) = 0 s1 = 731645, s2 = 8650228, d1 = 0, d2 = 16 Dl.O(d1) = 18693386 Dl.O(d2) = 260736756,187302726,195343017,262828206,177388387,177388386,166840448,166840447,166840444,166840443,177388383,177388390,177388382,166840441,166840442,155147115,142502864,129125732,115194005,101116065,87118086,73499482,60750572,257582396,257002036,23384201,255982095,30813067,39418282,257610055,59389567,48001006,38089206,255891157,16056157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 731645, s2 = 8650228, dlinesl.size( ) = 2 s1 = 731645, s2 = 8650228, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 731645, Dl.E( ) = 26, 2e-05 seconds used appending s1 = 7853199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7853199, s2 = 7850961, int(edited[s2]) = 0 s1 = 7853199, s2 = 7850961, d1 = 12, d2 = 15 Dl.O(d1) = 2226255,2226256,3717812,5945374,9088399,13306984,255650893,32996535,255384140,19444350,13914091,9549687,6265819,6265817,254492920,255019530 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7853199, s2 = 7850961, dlinesl.size( ) = 2 s1 = 7853199, s2 = 7850961, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7853199, Dl.E( ) = 16, 2.1e-05 seconds used appending s1 = 732410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656286, s2 = 8284174, int(edited[s2]) = 0 s1 = 11656286, s2 = 8284174, d1 = 2, d2 = 9 Dl.O(d1) = 60665641 Dl.O(d2) = 64139509,77288483,91208561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656286, s2 = 8284174, dlinesl.size( ) = 2 s1 = 11656286, s2 = 8284174, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656286, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10154770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154770, s2 = 10168224, int(edited[s2]) = 0 s1 = 10154770, s2 = 10168224, d1 = 23, d2 = 31 Dl.O(d1) = 57748580,269296545 Dl.O(d2) = 18709766,256628943,29199736,29199735,256905155,31803510,255596015,5601778,5601777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10154770, s2 = 10168224, dlinesl.size( ) = 2 s1 = 10154770, s2 = 10168224, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10154770, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 9352276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9352276, s2 = 14168939, int(edited[s2]) = 0 s1 = 9352276, s2 = 14168939, d1 = 28, d2 = 51 Dl.O(d1) = 41981168,33037792,25310562 Dl.O(d2) = 12369378,8358217,5394839,3317373,1951604,1115106,625858,625860,1115113,1951613,1950971,1114595,1114596,1950974,1951008,3316526,5393453,5393467,3316531,1951011,1951012,3316533,5393471,8356013,8358223,12365988,8355892,8355893,8346142,5386928,3312560,3312561,2798964,1623650,1623649,2798960,1951019,1951018,3316542,5393488,8356044,8355810,8355811,12365911,8355819,8355820,8355871,5393386,5393385,8355867,8358195,5394819,3317362,1951598,1115102,1115101,1114602,625511,347556,190571,190572,347559,625517,1114624,1951034,3316564,5393530,8356100,8358211,8355968,8355967,8355798,5393342,3316495,3316494,5393401,5393911,5393910,8346136,8355964,5393441,3316515,1951003,1114608,1114609,1951006,3316523,5393450,8355982,12366110,15977718,11091666,11091665,15977716,15977706,11091657,11091656,8355972,8355970,12366091,17532929,12367191,8356735,7292956,7292957,11016236,15891027,15977680,254080420,254106022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9352276, s2 = 14168939, dlinesl.size( ) = 2 s1 = 9352276, s2 = 14168939, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9352276, Dl.E( ) = 62, 2.5e-05 seconds used appending s1 = 14163236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163236, s2 = 9070120, int(edited[s2]) = 0 s1 = 14163236, s2 = 9070120, d1 = 6, d2 = 11 Dl.O(d1) = 130013541,143347005,143354609,130021520,130021521,143354611,155891757,143347047,143347046,155891756,167508733,167508732,167508734,155891750,143347036,143347035,155891748,155891740,143347023,143347024,155891738,143347031,143347030,155891742,143347039,143347020,130013557,116104260,102047076,102047041,88062018,74450076,74450075,61666303,50181112,257662267,74450087,88062030,102047052,116104228,130013517,143346975,155891707,143346984,143346985,143347109,143347106,130013636,116104325,116104324,130013632,130013640,116104327,102047130,102047129,116104326,130013638,130013720,130013719,116104426,102047218,88062155,74450160,74450159,88062154,102047197,88062133,88062132,88062131,74450147,61666341,61666342,74450149,88062134,102047199,116104408,130013713,143347156,130013709,130013704,116104396,116104397,105704146,105704145,116104400,130013700,116104390,102047185,102047186,105704149,91479697,77548552,64380441,64380442,77548554,91479702,105704158,119939624,116104395,102047188,102047187,116104393,104061640,89932181,76126387,76126388,89932183,104061643,118220981,132040954,145278619,145278618,132040951,132040952,132040955,143085409,272776924,138727931,138727930,133807584,119939626,119939627,133807586,147054327,133807563 Dl.O(d2) = 64380447,52506840,52506839,64380446,258361446,91479717,271005666,119939631,119939630,260231794,119939595,105704136,91479687,77548546,64380438,64380436,64380437,77548544,91479683,105704129,105704169,91479715,91479714,105704167,119939636,133807597,147054354,159432760,170775164,180906614,185021950,175481977,164728241,152896641,140206024,260628614,99017726,258786186,58790417,51580784,41359371,41359370,51580783,257112938,33023658,33023659,33023738,25297478,25297479,33023507,25297307,18722976,18722975,20190598,18723017,18723016,18723009,13328432,9106996,9106995,13328429,18723001,255601862,13328456,9107008,268022439,18723054,268176595,9967712,9967709,14486859,20190572,27088694,35176776,44554277,55400849,59978740,59978739,64157918,52306471,41966051,33023311,25297121,255252339,9106859,5958896,5958897,9106853,13328242,9107057,9107058,5959054,3726641,2231250,254146205,419834,236964,130744,130743,236963,419831,738552,1293963,2231216,3726570,2231211,1293960,1293959,2231208,3726565,5958935,5958939,5958938,9106926,9106921,9106922,13328334,268292459,255653209,18722889,25297213,33023410,33023411,41966179,52306608,257184961,41966176,41966171,33023405,25297209,18722887,18722888,25297210,33023407,257184959,52306607,64158023,77306205,90141039,76322707,63299043,51580781,41359367,32512365,32512366,41359368,37822502,29257627,21937008,21937007,29257625,25232294,18663445,13271682,9056509,5921000,5921001,9056511,13271686,18663450,25232298,28163399,20983444,15071176,15071177,20983446,28163397,26998846,20108517,20108518,26998849,35083696,44458815,41887228,32952003,25232297,256569823,24464168,18044846,18044845,24464166,32026051,27967558,20804824,14910362,10252396,6736581,6736580,10252395,14910360,20804822,27967557,27967561,27967560,36426347,268715722,57624056,58472705,47094798,37198883,28676133,28676132,30404456,22999415,16759738,16759742,15619039,13163819,13163817,14007104,14007102,13163859,13163857,13618830,13034252,13034255,9564489,8953229,8953226,13136753,9441255,9441258,7141559,4496604,4496602,5008471,5008474,5805443,3620795,2161886,2161889,3620782,5805408,254621616,18382613,24880770,32524260,41373474,51598575,41373471,32524258,32524259,41373472,51598576,63322420,67564477,55220852,44369627,44369626,268542778,26910145,20026257,14343803,14343804,20026259,25841202,19187476,19187477,25841201,19187475,13703203,9385492,6148737,254305287,2305403,3847504,6148732,9385483,13703190,19187458,21370024,15389919,15389920,21370026,24468554,256034302,18048551,24468552,32030957,32739751,28571757,28571756,37074895,37209487,28685403,28685402,32739753,25049794,24383695,24383694,24752625,18277967,12972711,12972710,18277965,24367817,17971787,12736205,8654742,8654745,10666396,7044480,7044479,10666395,15429207,14343811,9854695,6473309,4056627,2428149,254685053,4056623,6473302,9854685,9854684,6473299,4056620,2428142,2428141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163236, s2 = 9070120, dlinesl.size( ) = 2 s1 = 14163236, s2 = 9070120, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163236, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8391755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8391755, s2 = 14513834, int(edited[s2]) = 0 s1 = 8391755, s2 = 14513834, d1 = 6, d2 = 6 Dl.O(d1) = 268698801,18003373,255603569,31959574,38027186,41695637,32779145,32779144,26371751,26371754,32808661,25106464,18557165,18557163,25106457,255461679,16142188,22285823,29431859,29431858,37994135,33104865,33104864,34248971,26612128,26612129,34599245,43869488,54612074,66869949,75227597,62352753,62352752,60097746,54612015,43869386,34599113,26612039,19804020,14185503,9751695,9751697,14185510,19804030,26612054,29202927,29202926,32624993,24957458,18440373,13098986,13098984,18440367,24957447,29202897,37764453,39184572,30586837,23168625,23168626,23168689,16905356,16905357,23168693,29202620,29202621,34599609,26612383,26612385,34599614,37765470,37764354,29203560,21890638,21890641,24072894,24072893,26612002,34599067,37764396,37764395,47686406,59085900,257103180,37764295,29203671,21890721,15813520,10958609,7253430,7253431,10958614,15813532,21890734,256363771,39183663,30585880,23167789,23167788,29836483,37764246,37764247,255966137,255135697,11830956,16905923,23168755,21891087,15813764,10958747,10958749,15813775,21891107,29204218,29203483,21890591,15813713,10958722,7253492,4574319,2751937,1595258,1595257,2751931,4574304,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,29203960,29202102,29202106,29202701,37764221,39183831,31168518,23680234,17359970,12229973,8257537,8257538,12229975,12229978,16904947,16904946,15814176,15813194,15813195,11830581,7906181,7253641,7253642,10958991,11830289,11830288,15814081,10958946,7253618,7253617,10958944,15814078,16905082,11831168,7906570,7906569,11831183,16906230,21400894,28641670,37157326,47047911,47047778,37157086,28641360,28641359,37157057,31700992,24192999,24192998,30197446,37764852,47047669,47047872,58422643,52840560,50427020,47047951,38574554,37766670,29205145,21891929,21891928,18858698,13436543,13436542,18858693,13600403,13600401,11576036,7705262,4876566,2938406,2938408,2286705,1326604,1326602,2286696,3816959,6100384,9312686,13600219,19051321,24193108,17823841,12619797,12619798,17823831,19051268,24193141,17823907,12619836,8566434,5562384,5562382,8566425,12619822,17823773,24193007,31416373,31416371,40096300,42435201,42435501,269089665,256474490,25080544,18537168,18537169,25080548,25081473,27956250,20794785,20794786,25081660,18538000,13172055,8979028,8979030,13172062,18538021,255901609,18537743,18537744,23865786,255484936,25081754,25081630,25081629,29659080,29659079,38225251,32444660,24810024,18321329,13005181,13005180,18321326,24810020,32444653,28779204,21516256,21516257,25795341,27956263,20794799,14902339,14902340,20794803,27956264,22125673,16011268,11116259,11116258,16011264,22125667,18884447,13457510,9202928,6025195,6025197,6025181,6025180,9202899,13457465,18884378,15381389,15381390,18883321,25486465,26407891,19673135,19673134,18538184,13172157,13172158,18538189,25081957,32779294,38836134,30252290,25484884,25358882,18776435,18776433,14895543,14895545,14895623,14895624,20783053,20782840,20782837,27935819,36380161,46210590,57526035,70193201,83714893,70193174,70193172,83714889,97588345,111529122,111644566,111644565,125447140,138687945,125348085,125348083,111529135,111529136,111644564,97723771,97723772,83865022,83865023,97723839,111644626,111644633,125447185,115974133,101929581,101929580,115974130,125447174,111644617,111644616,111644631,105407480,91185594,91185593,105407479,119644159,125447168,126276674,112413609,112413608,111644628,111644629,111529120,111529119,112255826,125447133,261295145,140768362,133516998,133516999,140768360,143201429,261237704,125447186,125447187,123705774,123705776,261045734,109514054,95259963,81204075,81204074,95259960,109514050,123705795,112413611,260509665,113542121,113542120,99530766,85583829,71997031,59260559,59260561,71997034,259359367,113542157,119644168,105407484,105407483,119644166,133517001,140768363,133517004,260662802,105407489,119644173,109514085,109514086,123705823,123705804,123705803,137435888,150473339,146774411,133517010,119644178,105407494,91185600,260256425,119644199,105407514,105407515,119644202,109514080,109514081,123705792,260314336,95259955,109514043,99530762,99530761,113542127,113542135,126276679,113542148,113542147,127412576,140768352,127412514,113542093,99530723,85583798,71997012,59260550,59260549,258734223,99530721,113542088,119644206,123705806,113542146,113542131,113542133,260852449,105407499,105407500,119644183,127183266,113323834,113323835,260852453,105407508,105407509,260564480,99530780,85583836,85583835,99530778,113542159,113323838,113323839,113323848,99320401,85375524,71785985,59044063,47642233,269329233,258715565,99320402,113323857,99530732,85583811,85583808,99530729,87740855,258297772,49871730,49871731,61353525,61353530,61353531,74135179,87740875,101715203,115761299,259545478,87740808,87740819,259492775,115761283,101715132,87740794,74135104,257688690,49871710,61353467,49871699,39849424,31167368,31167370,39849426,49871701,53093014,53093013,55461297,44612795,44612794,55461295,67802830,81270401,95329510,100777182,260411011,272224122,106696221,106696220,109584576,100777178,95329518,81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98314,25398313,33136326,42088122,52436803,269988091,64297945,52436834,42088139,42088136,52436831,64297977,77454328,91379321,81053546,257043376,99464540,113475278,105604076,91379286,77454289,77454288,67585992,67585993,81053555,95110960,95110924,95110925,258234826,270514872,119845218,119845217,109365172,95110968,81053565,67586006,55244370,44396264,35020893,35020894,44396266,55244372,67586008,77454326,88485058,74849337,74849336,88485055,95110958,100508554,100508553,91379250,257043368,81053503,95110930,95110941,81053517,81053518,67585984,55244358,44396257,44396258,55244361,67585989,81053548,257626074,95110921,81053492,67585940,67585939,81053491,81053486,81053487,95110916,87962893,87962892,101935698,87962883,87962884,74849321,62051104,50558691,40522254,257106381,62051102,74849316,74360659,269464360,101935707,257626066,81053521,67585962,67585961,66847125,66847126,80276718,88485028,88485029,101935695,87962880,87962879,87962927,87962928,101935709,258351872,66847104,54588262,54588263,66847106,80276689,94333095,95325948,87962882,80276747,66847149,66847150,66847133,54588277,43843819,34572028,34572027,34572024,34572023,43843812,54588265,66847109,80276696,94333098,108620387,108620409,109365160,123556557,122884805,108620389,94333100,94333101,108620393,99464557,85518379,71930715,71930716,71930721,85518384,80276705,80276704,94333105,108620396,122884807,108620402,94333115,94333114,80276737,80276738,80276744,81266413,67798562,55456850,55456851,257608496,66847147,66847112,54588267,257882357,80276701,71930710,59191098,47790818,47790819,59191100,71930714,85518375,99464556,94333103,94333102,81266415,67798568,55456852,55456853,67798569,70906802,58194124,58194125,256639480,58194186,54614059,257480466,21851841,21851840,29160274,37720143,257481815,71785934,85375455,74360600,61584073,257151024,58194148,58194149,70906827,70906794,70906795,84463053,98372231,84463101,84463100,257563166,70906820,58194175,58194176,70906860,258172220,256982270,58194174,70906857,70906793,58194110,50097762,40076938,40076939,50097764,61577741,58194195,46828186,46828188,58194197,58194133,46828123,46828122,58194131,70906810,70906817,58194139,46828127,36950042,28449761,21223150,21223149,21223154,28449770,36950052,256982268,70906759,70906851,61577737,61577736,255938652,58194177,58194158,58194157,58194146,58194145,70906779,70906773,70906755,58194055,46828104,46828105,36950025,36950024,46828112,58194120,257180900,46828073,46828072,58194094,47642210,37720159,256358764,15780958,10932289,7233209,7233210,10932294,15780968,21851873,21851835,15780947,10932281,10932280,15780942,21851830,29160255,29160191,29160190,29160211,21851773,15780881,10932236,10932237,255430915,18728586,13332600,254645003,3727557,268736354,255252729,255135792,14593854,11065164,11065163,15945502,19787974,14173773,9744082,254465369,4019739,6407269,9744078,14173764,19787961,14551970,10013055,10013054,255061803,4577281,2753883,1596395,1596394,2753880,4577268,7257742,10964677,8522361,255194679,24121543,30738880,23318701,17054155,17054154,22062805,15958349,11075437,7343895,7343894,11075433,15958344,11842101,11842100,16920820,23187042,23658022,17341072,17341071,15525964,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,23187286,24572176,22619716,19360010,15468660,15468661,14528339,14528340,18130633,12856008,12856006,18130629,24572052,30553204,23134772,23134771 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8391755, s2 = 14513834, dlinesl.size( ) = 2 s1 = 8391755, s2 = 14513834, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8391755, Dl.E( ) = 8, 1.88e-05 seconds used appending s1 = 734231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 734231, s2 = 14236937, int(edited[s2]) = 0 s1 = 734231, s2 = 14236937, d1 = 27, d2 = 18 Dl.O(d1) = 18737422,268022586 Dl.O(d2) = 40090733,31410856,23920979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 734231, s2 = 14236937, dlinesl.size( ) = 2 s1 = 734231, s2 = 14236937, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 734231, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 13410117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13410117, s2 = 15166552, int(edited[s2]) = 0 s1 = 13410117, s2 = 15166552, d1 = 64, d2 = 75 Dl.O(d1) = 46675122,46675123,58049920,68108158,55711351,44804528,256515134,21085590,15145829,10445765,10445769,15145835,21085598,28292469,36789088,35374131,35374130,33457153,33457152,34571541,33601406,30655287,23234030,19534159,13986801,13986799,17405936,12266561,12266565,17405959,23729947,18198957 Dl.O(d2) = 263506270,187027758,177753775,177753774,262667026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13410117, s2 = 15166552, dlinesl.size( ) = 22 s1 = 10348777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 736022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9357169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8007471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8007471, s2 = 13168014, int(edited[s2]) = 0 s1 = 8007471, s2 = 13168014, d1 = 22, d2 = 20 Dl.O(d1) = 27073370,35158761,27072747,27072748,20177806,20177807,27073306,27073406,255436122,267948161,4101500,2453422,1418308,1418310,2453433,4101524,6546919,254979981,20178260,18813855,254919521,9163400,13403070,18813857,257194745,64318461 Dl.O(d2) = 15858790,10991923,7276456,4588904,2760868,1600484,909982,513338,287916,159246,87595,48196,26939,26938,47186,26296,14833,8278,8279,14834,26299,47194,86005,154828,84907,46502,254074869,29411,16861,16862,14900,8325,4494,2352,1158,1156,2348,2389,1176,572,573,1171,2381,2687,1345,1203,1201,749,748,1523,2984,5549,9434,9435,16074,9100,4981,4983,9104,16084,28228,29408,16857,9637,9636,16855,29405,52265,254079287,267745051,990779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007471, s2 = 13168014, dlinesl.size( ) = 8 s1 = 10160806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10160806, s2 = 13341559, int(edited[s2]) = 0 s1 = 10160806, s2 = 13341559, d1 = 59, d2 = 41 Dl.O(d1) = 48327795,42100244,42100246,42099964,33145881,25405697,18815670,13404338,13404339,18815673,25405700,18815954,18815955,18815846,13404429,9164292,9164293,13404432,18815851,25406010,33146255,42100296,40203846,40203847,40290902,33146182,33146181,33146285,33145660,33145657,33146394,33145434,25405261,18815344,18815343,25405259,18815394,13404167,13404170,18815402,25405349,25405504,18815523,13404235,13404233,18815516,18815900,13404468,13404192,13404193,18815440,25405399,33145582,25405584,18815575,18815576,25405589,21091137,15149946,10448547,6888051,6888050,268066609,13404252,18815546,25405533 Dl.O(d2) = 15252188,10522293,6939411,4360839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10160806, s2 = 13341559, dlinesl.size( ) = 2 s1 = 10160806, s2 = 13341559, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10160806, Dl.E( ) = 60, 2.41e-05 seconds used appending s1 = 15466099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15466099, s2 = 738392, int(edited[s2]) = 0 s1 = 15466099, s2 = 738392, d1 = 17, d2 = 24 Dl.O(d1) = 263544866 Dl.O(d2) = 16158631,16158630,16155912,16155911,16155884,11224486,7447643,7447646,6001551,3753566,3753563,6002148,9170441,13412383,18825041,25416329,33157194,42111653,257785597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15466099, s2 = 738392, dlinesl.size( ) = 20 s1 = 8434625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9220380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9220380, s2 = 527907, int(edited[s2]) = 0 s1 = 9220380, s2 = 527907, d1 = 30, d2 = 33 Dl.O(d1) = 272881910,261235852,91486282,91486283,105710129,119945000,105710126,260275149 Dl.O(d2) = 256127941,13431829,13431830,18852267,268492531,42155725,257789049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 739873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 739873, s2 = 14358003, int(edited[s2]) = 0 s1 = 739873, s2 = 14358003, d1 = 38, d2 = 56 Dl.O(d1) = 18854747 Dl.O(d2) = 259098622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 739873, s2 = 14358003, dlinesl.size( ) = 48 s1 = 739906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 739906, s2 = 528023, int(edited[s2]) = 0 s1 = 739906, s2 = 528023, d1 = 0, d2 = 0 Dl.O(d1) = 18855661,13434410,13434411 Dl.O(d2) = 18855661,13434410,13434411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 739906, s2 = 528023, dlinesl.size( ) = 2 s1 = 739906, s2 = 528023, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 739906, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 739919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 90723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13457101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13457101, s2 = 16284612, int(edited[s2]) = 0 s1 = 13457101, s2 = 16284612, d1 = 21, d2 = 13 Dl.O(d1) = 33217800,255665677,13446858,9195258,6019905,3765902,3765903,3766128,3766088,2256429,2256430,3766092,3765497,2256126,1309415,1309414,2256124,3765487,6019231,6019837,9195183,9195194,6019853,6018327,3766274,3765727,3764990,2255839,1309276,747416,424706,239733,239735,424711,747428,1309298,2255889,3765062,2256343,1309527,747536,747535,1309522,2256341,2256375,1309548,1309546,1309517,1309518,1309620,2256530,3766265,6020425,254922655,9195174,13446781,254650935,3765972,2256371,2256372,3765975,6020001,9195387,254922613,9194832,13446150,13446151,13447464,255665729,254922681,254922683,9192892,6018370,6018369,9192890,9192978,6018419,6018418,254922475,9192975,254445089,3765013,6018417,9192973,9192985,9192987,13443705,18866867,18870904,18870903,25471117,33214476,33214401,33214400,33214675,33214676,42173941,255262570,18866894,18866892,18871397,18867182,18867183,25467375,25467442,25471595,18871329,18867126,13443964,9193175,9193174,255262535,9195845,6020353,6020354,9195848,13444224,9193353,9193352,13444221,13446978,9195350,9195351,13446980,13447406,13447403,13443913,9193140,9193141,13443916,18867070,25467255,25471381,30326628,25467317,25467315,33214665,25467277,25467276,33214662,268746499,25471562,25471561,33218211,42098321,257194789,257152905,32470372,25467257,25467258,25467287,18867100,13443944,9193155,6018538,3765091,3765090,6018535,9193149,13443931,18867067,18871054,18871055,25471357,33214650,42098308,42173939,33214698,33214699,42174080,37026327,256516430,24830727,24830729,25404027,25404028,256639793,52451262,64318862,64407026,64405246,52531994 Dl.O(d2) = 13210957,13210956,255645783,18590665,13210959,9005404,5878620,5878622,9005408,13210968,18590683,256107673,41774470,256622240,25146823,25146822,32853659,41774450,52088095,41774464,41774463,52088037,52088038,52364362,52364367,52364368,63907158,59136861,59136859,71875099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13457101, s2 = 16284612, dlinesl.size( ) = 2 s1 = 13457101, s2 = 16284612, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13457101, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 1273274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1273274, s2 = 14312485, int(edited[s2]) = 0 s1 = 1273274, s2 = 14312485, d1 = 44, d2 = 32 Dl.O(d1) = 32018611,25510145,18899748,13468183 Dl.O(d2) = 268158326,18476952,13126574,8946482,8946487,13125807,8946452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1273274, s2 = 14312485, dlinesl.size( ) = 20 s1 = 741995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 741995, s2 = 8422609, int(edited[s2]) = 0 s1 = 741995, s2 = 8422609, d1 = 4, d2 = 9 Dl.O(d1) = 18902521 Dl.O(d2) = 118030466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 741995, s2 = 8422609, dlinesl.size( ) = 2 s1 = 741995, s2 = 8422609, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 741995, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 13360585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13360585, s2 = 13332410, int(edited[s2]) = 0 s1 = 13360585, s2 = 13332410, d1 = 63, d2 = 72 Dl.O(d1) = 58304147,53147039,42696430,42696429,42696436,42696438,42255740,33276179,25515867,25515866,33276176,42255734,52641097,64540188,65132207,65132206,74730751,270917695,86166572,86166573,91416312,77722057,64540208,52641125,42255763,42255762,38392209,38392207,48302519,38392231,38392230,46363885,36505687,36505688,46363887,57713303,53855537 Dl.O(d2) = 13848885,9500388,9500389,13848888,19361620,26040006,33861797,33861746,26039963,26039965,33861747,42907309,53164418,42714644,33684546,25878056,19218698,19218697,25878055,33684543,33684345,25877890,25877891,33684347,25878118,24316389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13360585, s2 = 13332410, dlinesl.size( ) = 20 s1 = 9067350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163028, s2 = 9073088, int(edited[s2]) = 0 s1 = 14163028, s2 = 9073088, d1 = 12, d2 = 10 Dl.O(d1) = 114434783,114434784,116144998,116144999,130054011,128734370,114834641,100782676,86801877,73189850,60443243,60443242,60443257,73189860,73205998,60459020,49055273,39125170,30526879,23109053,255132229,11784524,16850746,23109056,256463041,49055283,60459033,73206009,86818740,100799847,260659859,142106575,154742817,166451332,177035644,261626648,152741641,259893530,112852683,98864749,84937867,71361144,58624395,58624396,255379102,34203256,26329785,19602161,14045602,9657747,6350608,3984594,2388092,2388091,3984592,6350606,254956305 Dl.O(d2) = 6414225,9755248,269173335,13487379,18918939,13487528,13487529,18919139,25528994,28738831,37271149,42269873,33289637,25529009,18919149,13487537,9227845,9227844,13487530,13487531,13487550,18919165,25529032,256545417,17788392,12590203,12590205,17788399,24155536,31665246,38328830,40359859,42269907,52655815,52655390,42269478,33289285,25528758,25528759,33289287,42269479,42270201,42269772,42269773,42269539,42269540,52655444,52655566,42269692,42269690,42269487,33289291,33289290,33289957,25529292,18919335,18919334,25529288,33289952,42269417,42269415,256133620,52655673,64555252,64555560,52656012,42270158,33289918,25529265,18919317,268298309,33289913,257205937,42269788,33289541,33289540,33289307,25528769,18918953,18918955,25528772,18919320,18919321,25528872,18919027,13487436,13487435,18918848,13487412,9227835,6043731,3781618,2265368,2265366,3781613,6043725,6043742,6043744,9227857,9227839,9227840,13487529,18919139,25528994,28738831,37271149,42269873,33289637,25529009,25529008,33289634,25529046,18919177,13487559,9227859,9227860,13487564,18919182,25529051,33289677,33289686,33289685,31565963,24060354,24060352,25351607,29465447,22130615,16015750,16015751,22130618,29465455,22137267,22137265,29473787,33289264,25528740,25528741,33289265,38036645,42269863,40359857,40359859,42269907,52655815,52655390,42269478,33289285,25528758,25528759,33289287,268494575,18918976,18918975,25528791,29473778,29473780,38036666,42269529,42269528,42269795,52655694,64555264,64555579,64555616,52656067,52656068,52655454,52655453,52655447,52655446,52655343,42269419,42269418,52655341,42270159,33289919,33289920,42270161,257205973,33289935,33289934,42270172,52656036,257797001,77737850,91665592,259666565,91665613,105873842,120086667,120086636,120086635,133929908,147153830,133929924,133929925,147153844,147153639,147153640,147153624,133929666,120086335,120086336,261444543,120086342,105873470,105873469,260877581,133929650,120086324,105873457,91665236,91665237,260282447,120086341,120086303,105873434,91665216,77737456,77737457,91665217,77737473,77737474,258412627,52655577,42269698,33289465,33289463,42269695,52655572,64555135,77737426,77737427,91665186,91665294,105873513,91665291,91665293,105873516,113668497,99655498,85707629,72122888,59391982,259367993,113668478,99655497,85707628,72649777,270335087,85707613,72122870,59391968,59391966,72122867,85707606,85865239,72273851,72273850,72273849,72273848,60540937,49141176,39214447,30617605,30617604,257014221,60540934,73284581,86895049,77737828,77737829,86895050,91665560,77737815,64555537,64555538,73284598,60540952,60540953,73284599,86895065,73284600,64555546,52655992,52655993,47923760,47923761,59316830,72051677,85639224,270322904,256948267,38323775,257528457,72355648,64555541,52655987,52655986,258412665,47923759,38008776,29446584,29446585,29754250,29754248,29754249,23001931,22393627,16233710,11285743,7492466,254777425,16233708,16001015,11108520,7367491,7367490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163028, s2 = 9073088, dlinesl.size( ) = 14 s1 = 9383764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 743794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 743794, s2 = 6453934, int(edited[s2]) = 0 s1 = 743794, s2 = 6453934, d1 = 7, d2 = 7 Dl.O(d1) = 18936009,18936008,254653016 Dl.O(d2) = 18936009,18936008,254653016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 743794, s2 = 6453934, dlinesl.size( ) = 2 s1 = 743794, s2 = 6453934, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 743794, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 743809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7919995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7825030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10337621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15408403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1013646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8268688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8268688, s2 = 10901583, int(edited[s2]) = 0 s1 = 8268688, s2 = 10901583, d1 = 60, d2 = 72 Dl.O(d1) = 270810675,21442681,258110421,257228098,254452696,13557744,254207888,9284679,6082192,3805946 Dl.O(d2) = 153692699,165471501,176150113,261329572,153692677,270921406,113811220,260161586,113811229,99797192,85844414,85844412,99797186,113811221,127679044,141026977,153692722,261871108,176150133,165471498,153692698,153692700,153692731,141026987,141026988,260161588,113811224,113811223,127679046,141026968,127679036,113811213,113811214,127679037,260759072,153692711,141026966,127679032,271423330,260759076,127679047,113811227,113811219,113811217,99797192,99797191,113811226,113811225,127679027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8268688, s2 = 10901583, dlinesl.size( ) = 30 s1 = 7854495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 533542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 533542, s2 = 15961110, int(edited[s2]) = 0 s1 = 533542, s2 = 15961110, d1 = 0, d2 = 81 Dl.O(d1) = 13562400 Dl.O(d2) = 236315580,237144892,237900128,238585988,239213191,239789837,240323201,240818793,241278560,241704608,242098046,242461416,242798676,243111938,243405500,243679030,243933288,244170669,244391273,244595815,244786222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 533542, s2 = 15961110, dlinesl.size( ) = 2 s1 = 533542, s2 = 15961110, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 533542, Dl.E( ) = 88, 2.19e-05 seconds used appending s1 = 13293383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13293383, s2 = 747263, int(edited[s2]) = 0 s1 = 13293383, s2 = 747263, d1 = 1, d2 = 1 Dl.O(d1) = 18263922,19013048,19013049,25628195,33393733 Dl.O(d2) = 18263922,19013048,19013049,25628195,33393733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13293383, s2 = 747263, dlinesl.size( ) = 2 s1 = 13293383, s2 = 747263, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13293383, Dl.E( ) = 2, 1.12e-05 seconds used appending s1 = 13364447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9109338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7804310, s2 = 5933485, int(edited[s2]) = 0 s1 = 7804310, s2 = 5933485, d1 = 1, d2 = 1 Dl.O(d1) = 53495892,43017590,33960433,26122759,19428626,13901196,9539707,6258472,3917941,2345251,2312833,1341719,1341720,2312836,3822067,6108126,9324084,9324083,13617036,254148482,33422039,254658384,77920061,91843157,256145684,134080857,134080854,269515818,106040687,256145684,134080857,134080854,120245315,106040682,91843154,77920060,77920061,91843157,256145684,134080857,134080854,269515818,106040687,256145684,134080855,257809766,170968419,259679766,197588301,204098153,209529781,272991796,220698843,223296994,225542990,227496952,264882780,233273611,265483292,236276483,235371175,235371174,235371171,234374335,266177879,230722399,266061385,233278154,234374337,235371174,236279737,236279739,266383356,237866627,266556742,239188211,266828191,238556199,237866625,237866624,274805259,274823653,240304324 Dl.O(d2) = 53495892,43017590,33960433,26122759,19428626,13901196,9539707,6258472,3917941,2345251,2312833,1341719,1341720,2312836,3822067,6108126,9324084,9324083,13617036,254148482,33422039,254658384,77920061,91843157,256145684,134080857,134080854,269515818,106040687,256145684,134080857,134080854,120245315,106040682,91843154,77920060,77920061,91843157,256145684,134080857,134080854,269515818,106040687,256145684,134080855,257809766,170968419,259679766,197588301,204098153,209529781,272991796,220698843,223296994,225542990,227496952,264882780,233273611,265483292,236276483,235371175,235371174,235371171,234374335,266177879,230722399,266061385,233278154,234374337,235371174,236279737,236279739,266383356,237866627,266556742,239188211,266828191,238556199,237866625,237866624,274805259,274823653,240304324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7804310, s2 = 5933485, dlinesl.size( ) = 2 s1 = 7804310, s2 = 5933485, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7804310, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 255566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 748697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13238125, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13331117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13331117, s2 = 13331460, int(edited[s2]) = 0 s1 = 13331117, s2 = 13331460, d1 = 3, d2 = 1 Dl.O(d1) = 28911967,28911968,29318310,29318311,34002006,43060315,53539607,65564152,78898830,77980012,257810629,52867303,64786166,64788389,52869613,52869612,64788384,257219685,33472498,25699589,25699591,33472500,42465782,42465862,52869636,52867298,256662909,33470079,33472545,42465832,42465859,42465860,52869634,42465864,42465863,257810631,256662911,25696892,25696891,33470083,42463529,42465830,42465869,33472574,33472573,42463534,33470087,25696894,19071368,255680977,257219425,52869642,42465871,256146729,19073903,25699646,25696901,19071372,13615174,9322795,9322796,13615176,19071376,13617181,13617180,19073893,25699622,19073891,19073876,19073875,25699597,33472506,42465796,52869593,42465872,33472577,33472578,33470078,25696888,25696887,269556452,25626468,19073900,13617185,9324186,6107707,3821573,254450787,9324188,13617190,9324194,9324193,13617201,19071370,13617170,9324176,6130256,6130257,254936945,255680975,13615169,13615170,9324190,9322792,254658857,3821571,2289613,254148619,758421,254207011,3821575,6107712,254452067,2296457,2296455,3832872,6125964 Dl.O(d2) = 13617158,13617159,13617172,255276297,25699609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13331117, s2 = 13331460, dlinesl.size( ) = 2 s1 = 13331117, s2 = 13331460, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13331117, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 10200494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146829, s2 = 3758453, int(edited[s2]) = 0 s1 = 10146829, s2 = 3758453, d1 = 2, d2 = 13 Dl.O(d1) = 33512666 Dl.O(d2) = 19126987,13656753,9351837,9351838,13656757,13564755,13564754,18984677,18984678,17135644,12042340,12042339,17135639,23410710,30840351,39444628,35026762,26945901,23145490,19038281,19038279,22835612,16614435,16614434,18581870,18581869,22413388,16249044,11296879,7500282,7500283,6085484,6085485,9289718,13568182,13626228,13626227,17873437,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508054,11308693,11119404,7375318,7375319,11119414,13669869,11307883,11307880,16264051,19009810,22432789,16265132,11308569,7507992,7507991,11308560,12652164,8590271,8590273,8590188,5581807,3463293,2053972,1178493,661767,661765,1178485,2053960,3463329,5581885,254874883,17866472,17867286,24243346,31755052,40450014,50486371,61978631,74774976,88406629,74774973,257683263,40450013,40450014,50486371,61978631,74774976,260154055,74773899,61977633,50485429,40449125,31754117,24243347,24243346,31755052,257683141,50485424,61977624,50486369,257683261,74774972,74773904,61977631,61977632,74773905,88405467,258292205,50485425,257683143,40449124,31754116,31754114,40449122,257683143,50485426,61977627,61977633,61977628,50485427,40449124,31754116,24242365,24242366,24243347,24243346,31755052,40450014,50486371,61978631,74774976,88406629,88406630,259539731,74773904,61977631,61977632,74773906,88405470,258292337,61978627,74774967,61978630,61978631,74774976,88406629,88406630,259539731,74773904,61977631,61977630,74773902,88405469,258292337,61978627,74774968,88406627,88405472,258292207,50485430,50485431,61977636,74773908,88405475,102405803,116501098,130337865,125965755,112129175,98167582,258925240,58005403,257109558,28246676,21046729,21046727,28246668,32551511,24901758,18398519,13068236,13068237,18398521,24901761,32551517,41409972,51650981,47759857,37837308,29271075,21948375,21948376,29271076,37837305,37837306,47759856,59158600,60711967,49309662,39381873,30780087,30780088,39381875,49309666,258215207,60161603,48767450,38847824,30264066,255501469,254799227,4891482,4891483,4799973,2893173,255480045,29947059,38510707,48416623,261557291,81149133,258858326,10397187,255373233,256287375,258015299,84103544,261618927,262625803,184131247,263834929 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 537092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6576221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 752125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8014481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14198343, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8455364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 538277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1022301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1022301, s2 = 752143, int(edited[s2]) = 0 s1 = 1022301, s2 = 752143, d1 = 8, d2 = 5 Dl.O(d1) = 25815836,19166459 Dl.O(d2) = 19138237,25779485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1022301, s2 = 752143, dlinesl.size( ) = 2 s1 = 1022301, s2 = 752143, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1022301, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 7999800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7999800, s2 = 7254418, int(edited[s2]) = 0 s1 = 7999800, s2 = 7254418, d1 = 54, d2 = 41 Dl.O(d1) = 270963630,32805793,256062154,52041157,63860696,76972368,258943436,258427020,28795577,21530333,21530334,28165084,20985051,16481224,16481222,22678307,28933872,31481602,23984923,17639258,15468149,15468147,10758704,10758705,13659057,13659058,12011284,12011283,14194858,14194859,18869794,25469857,22222103,22222104,19815731,14194234,9757771,9757772,12668730,9758406,9757838,9757839,9758092,9758091,14194794,19816515,25128639,18576165,13201179,13201178,18576163,13493023,9758024,9758023,6416113,6416114,9415859,9415860,8415649,5431098,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14195089,9758234,6416212,4025370,2412241,2412240,4025364,6416196,9758202,14194987,14194988,19816795,26627910,33623222,42651465,47811686,47811685,47920601,47920600,47255793,255681140,46486073,36619602,28145763,255272510,13900342,13900343,19427497,26121377,31192392,34003035,26167175,19466615,19466616,20962911,268029714,20852853,14952159,10286168,6761370,6761371,254148476,13694907,254113958,3962385,2373383,1374036,782124,443668,249819,137866,137868,249829,443705,782566,1374761,2374663,3964489,6240853,3906968,3906966,6240846,6263048,6263049,6263130,3921056,2347168,2347170,3921065,6263159,9545947,13909122,13825321,9481739,6217319,3891429,3891427,3908561,2340418,1356269,1356267,1356087,773355,439224,439222,773379,1356131,2340164,3908109,2388358,2388354,1383779,1383780,1374095,1374090,1376097,2373415,2373227,2373061,1374199,1374198,2373737,3963006,6321488,9622185,14003950,19554460,257256265,258468057,260888739,261989691,262991595 Dl.O(d2) = 157644862,264602961,265072019,266162233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7999800, s2 = 7254418, dlinesl.size( ) = 18 s1 = 15175074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15175074, s2 = 13165709, int(edited[s2]) = 0 s1 = 15175074, s2 = 13165709, d1 = 25, d2 = 19 Dl.O(d1) = 135151254,135151255,135151325,148323635,148323575,135151264,261452364,120982930,120982929,134779594,135151261,135151285,121301786,121301787,135151287,262018821,148323631,147898181,134779604,121301764,107009599,107009598,121301763,135151257,260885670,92677131,259709651,121301777,135151269,134779605,120982943,106730029,260312917,92677121,78622544,78622545,92423995,92423996,106730036,120982955,120982954,120982934,120982935,106730038,92423997,78386693,65102993,53116255,42664227,33634750,25831956,19203411,13715635,13715636,9482100,9482099,13825808,13695945,13695947,19160406,19160405,13960409,13960410,19504482,19179142,19179141,14083139,13614235,9322188,6106490,3820798,2289120,1328133,758245,431100,243362,134496,73102,73097,73400,39724,39721,73041,73514,39762,39760,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815465,3802366,2277524,2277023,2277026,3801468,2277028,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824602,6112532,9331636,9362452,6132601,6132602,9362454,13671800,19134757,13663076,13663077,19134758,25639822,19023021,19023022,19147365,13671986,9362600,254937285,19147363,254938292,254938290,13672073,19147472,19147508,13672107,13672106,19147505,19135279,19135280,25775761,19143347,13668802,13668801,19143344,19147736,19147735,25792937,33588646,42612615,43320931,53845427,64392865,64392864,65912858,65912859,79276226,65912927,65326467,58888990,47509454,37605163,37605164,47509458,257159204,71608921,58888983,47509444,37605156,29056508,21761657,21761656,29056505,37605153,40495213,255595768,17905300,17905299,14947722,14947723,20848122,18423660,13086394,13086395,18423664,24935606,32597611,41474619,42982791,33929158,30544220,23125848,23125849,25092315,25092313,32790484,26890109,26890106,30544223,32597600,41134221,32320572,24706185,24706184,32320570,39225706,30627794,23205143,16934730,11852339,7921628,6084343,6084342,9287885,9023241,9023240,13232618,18615959,25175260,32884096,33200314,25761500,19122314,13652991,13652990,19093248,19093249,19122316,19122315,254670400,9346332,254114982,25659716,19040658,13638615,9339363,6124248,3831754,3831752,2370325 Dl.O(d2) = 64288,64292,117741,214848,388450,693742,1226442,2125854,3566806,4102752,6548946,9964606,14482850,12928070,8794686,5728644,5728643,8794684,12928068,18226805,24504147,255105518,19403486,13880241,13880240,19403485,254361104,11463071,11463072,16452337,22642042,25376579,19257964,13762202,9431717,6180911,6180912,9431720,13762207,18791619,13384780,254540686,3909858,3909859,6245701,9522468,13880247,19403494,19533099,26250567,33111885,25376603,25376602,254242040,19409624,254788740,42785157,33754236,33754237,42785141,37793774,33754242,25946612,25946613,33754244,42785169,53236574,65225269,78514597,92561112,271585067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15175074, s2 = 13165709, dlinesl.size( ) = 12 s1 = 539239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6501689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 755050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8049133, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 68128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6677168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9447562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7915013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6536083, s2 = 15050894, int(edited[s2]) = 0 s1 = 6536083, s2 = 15050894, d1 = 35, d2 = 140 Dl.O(d1) = 255693892 Dl.O(d2) = 269775496,256846388,84345473,70786589,255817832,272525571,126211685,261973519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6536083, s2 = 15050894, dlinesl.size( ) = 18 s1 = 9413576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9413576, s2 = 13177545, int(edited[s2]) = 0 s1 = 9413576, s2 = 13177545, d1 = 8, d2 = 0 Dl.O(d1) = 98646997,84716560,71146575,58424871,47050049,37159463,28643559,28643560,37159465,39915673,31240203,31240204,39915675,49933819,41643414,41643413,39936739,31261692,23776578,17446850,17446851,23776581,31261695,29007228,29007227,37552877,47045413,37154688,37154689,47045412,47045411,49933800,46724029,36841347,28344463,21131918,15182727,10472615,6905179,6905178,10472612,15182719,21131906,23382502,17112047,17112049,23382505,30811058,39416211,49345784,40600055,40600054,254770818,17967968,17967967,24363381,22358773,16206416,16206415,16808846,11754091,11754090,7848095,7848093,7848113,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5968027,5968028,9120663,13347718,13211395,13211396,18591294,25147518,25147516,25147517,19259748,13764083,9433594,6182539,6182538,8797280,5730347,3567922,2126560,1344268,1344271,1344234 Dl.O(d2) = 2318580,2341497,2341316,2341314,2342404,2342407,3912559,6249581,6302088,6302089,9597920,13975865,19523011,26240193,34103637,43189335,53701101,65758283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9413576, s2 = 13177545, dlinesl.size( ) = 2 s1 = 9413576, s2 = 13177545, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9413576, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 757345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 757345, s2 = 761830, int(edited[s2]) = 0 s1 = 757345, s2 = 761830, d1 = 11, d2 = 25 Dl.O(d1) = 19263857 Dl.O(d2) = 2318577,2341492,2341666,2341665,3911154,6247474,9524630,13882359,19382369,19382370,256170363,42936724,53403482,65407898,78714405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 757345, s2 = 761830, dlinesl.size( ) = 2 s1 = 757345, s2 = 761830, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 757345, Dl.E( ) = 32, 1.79e-05 seconds used appending s1 = 715778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13243029, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14482160, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1755739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1755739, s2 = 6641982, int(edited[s2]) = 0 s1 = 1755739, s2 = 6641982, d1 = 153, d2 = 122 Dl.O(d1) = 46435288,36570750,30099028,30099029,28099777,20924135,20924134,28099773,36570982,28099751,28099752,28099668,28099667,27192621,20268277,20268276,27192617,35312338,36571203,46435529,36570939,28099729,20924110,15016543,15016544,10344719,10344720,14996353,10326932,6810573,4271616,4271617,6810578,255005131,15016570,20924144,28099792,36571038,46435652,36571147,28099877,20924193,15016604,10344712,10344711,255792791,19376167,13859976,13859975,19376163,256170019,42789561,255717586,19286512 Dl.O(d2) = 256868573 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8126810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8126810, s2 = 592438, int(edited[s2]) = 0 s1 = 8126810, s2 = 592438, d1 = 10, d2 = 1 Dl.O(d1) = 268649993,22840597,19057832,13605161,10424221,6872711,4314159,4314160,6872714,10424232,13071913,13071912,18403430,24907772,23907439,17563693,12392450,12392452,17563656,13943403,13943404,11535202,11535197,11275806,11275808,16220368,17731343,255065968,11001257,12969076,8827435,5751785,3581440,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,9393242,13714057,255065898,9945885,254978319,11000570,15871573,255876493,24521807,24521808,24506286,18077720,18077721,15439215,15439216,19299667,13798944,9462536,9462537,254200962,18282120,12975995,12975994,8964565,5851994,5851995,254904847,18511696,25047894,254305832,25164092,18606189,13224021,10683710,10683711,15451864,14416090,14416089,12816013,9455526,9387392,6515880,4082715,4082714,4082695,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,8931113,8931117,13104503,13352569,9124674,5970864,3733983,3733987,5970874,9124683,9995399 Dl.O(d2) = 15342589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8126810, s2 = 592438, dlinesl.size( ) = 2 s1 = 8126810, s2 = 592438, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8126810, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 543247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9421500, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10169344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536571, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6596167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9153290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13477813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13477813, s2 = 8091167, int(edited[s2]) = 0 s1 = 13477813, s2 = 8091167, d1 = 52, d2 = 40 Dl.O(d1) = 43853902,34582482,33045723,25317794,18739942,18739941,256117171,41989328,52329395,43856307,43856305,256937888,39452318,256395784,255312993,9745997,6408469,6408470,9745999,14176696,19791992,24907249,18403007,14552130,14552131,15823033,19801111,15822769,10965167,7257984,4577374,4577373,7257978,10965158,15822736,12567418,10965415,7258127,7258126,7257872,7257873,10964952,14552535,14552532,14553556,14553555,20283176 Dl.O(d2) = 255571877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13477813, s2 = 8091167, dlinesl.size( ) = 32 s1 = 761748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7959051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7959051, s2 = 11571340, int(edited[s2]) = 0 s1 = 7959051, s2 = 11571340, d1 = 4, d2 = 21 Dl.O(d1) = 10033539,6593984,4131068,4131069,6593987,10033545,14581597,19875781,22890179,16661000,11627983,7745712,4905046,2956404,1714256,974032,974033,1714262,2956414,4905061,7745742,11628018,16661047,18114101,254888057,8734538,12076658,11627781,7745593,7745594,11627786,16660712,22889824,20316104,14579789,10032395,10032394,14579788,20316102,20322106,20320437,14582974,14582975,20320439,17406630,14583337,14583338,20320969,19875850,14240602,9789474,6435832,6435831,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854425,18128191,24483243,18060752,12804602,8706415,5667979,5667978,8706413,12804599,18060743,24483230,20915558,15010031,268029704,6806962,10339888,15010041,20915569,28089171,23379046,23379045,21958663,21958662,29284214,29986750,29986751,254967148,267944490,254967146 Dl.O(d2) = 60445013,257909708,30514419,30233737,22840962,256441925,257566837,55304893,67643760,270659605,123618923,137351587,264128831,210676163,214888986,218355641,265333375,265672125,229470196,230942224,232261465,233452383,234533961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7959051, s2 = 11571340, dlinesl.size( ) = 2 s1 = 7959051, s2 = 11571340, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7959051, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 762041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7815079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7815079, s2 = 14217969, int(edited[s2]) = 0 s1 = 7815079, s2 = 14217969, d1 = 1, d2 = 3 Dl.O(d1) = 86310844,100272299,100272300,114302020,128184481,141541556,128184500,114302046,114302047,114302048,114302038,100272317,86310834,72713954,72713955,86310836,87780004,101753500,259288380,86310838,99508874,85561953,85561952,270315592,60083233,48687041,269356851,71974614,59236830,59236831,60083238,60083239,60083242,48687048,38765259,38765258,48687045,60083237,258794709,67668367,67668366,55328584,257911967,258532403,95192556,260401799,261556493,150413354,262086579,173574367,183369455,191932407,195731600,263410270,168298136,262858395,178634489,168298135,262392364,149413781,149413780,161704381,161704385,149413785,136164106,122201651,122201650,136164105,149413783,149413786,161704382,161704383,150666306,137669703,123988390,109849788,95646778,81613817,68124067,55726342,55726343,68124068,68124067,68124066,81613816,95646776,109849785,99576978,85626749,85626748,72211577,59473971,48083453,268654934,29603961,32050682,32050683,268678144,35151740,44528039,55374280,65477631,258254672,47091450,58469299,53457657,257143570,26096354,19407120,13884118,268212408,6183729,3869734,2317751,1343941,1343944,1344217,1344216 Dl.O(d2) = 767232,767230,1344191,2317503,2341151,3909933,6245820,9522605,13788194,19287143,256080970,19180509,254902852,254890462,7814852,4957581,2993083,1737974,987627,985688,254109694,254806051,254627123,5703488,268011289,13883374,9525614,9525615,13883377,19406388,19406389,20260593,14536658,10001780,6572841,6572842,10001782,14536663,20260603,15348526,10602737,254298152,4396367,6995550,10602743,13780093,13780092,14421815,254445290,5855272,5855271,7052412,7052411,10677018,9125610,5971545,5971546,9125613,13353593,14548935,19231966,13739933,10905368,7212483,4544310,2731742,2731744,4544316,7212494,10905383,15745950,20136519,14442473,14442472,15386641,15354618,10607600,10606484,10606483,13166990,8975170,5859201,3657630,3657631,5859202,8975173,7050984,7050983,8650811,5626781,3496169,2077396,1193865,1193866,764286,764288,1338022,2305847,3848290,6149993,9387283,268151919,25844913,33648877,42678827,53129892,65115402,78397719,92434022,271035476,134788613,147907020,160155800,152601334,152601333,152601376,152601349,139892732,126528824,126528823,126528854,120133429,105921371,105921372,120133431,133975223,133975224,120133435,105921374,105921373,120133434,126528796,112665380,98669849,84740986,84740987,98669850,98669845,98669846,84740989,71171523,58449295,47072228,256863032,21414876,21414877,15425376,10663693,7042561,4431962,4431961,7042558,10663689,15425367,21414881,28659349,37178632,47072238,58449311,71171546,84741026,98669912,258678917,71171554,84741027,84741028,98669914,98669992,112665459,112665460,106739543,106739542,112665457,261104685,261971374,152601386,164456101,175236192,184802203,193154696,200323352,200323354,264469089,215479573,212850404,208094070,202325216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7815079, s2 = 14217969, dlinesl.size( ) = 2 s1 = 7815079, s2 = 14217969, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7815079, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14162364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1732118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1732118, s2 = 257344, int(edited[s2]) = 0 s1 = 1732118, s2 = 257344, d1 = 9, d2 = 12 Dl.O(d1) = 44564137,44564138,55411787,255878698,256211590,47302732,37393449,37393450,44596535,44598441,44598440,36946375,28446611,255707705 Dl.O(d2) = 6279557,3932026,3932027,6279558,9569574,13942297,19482815,26191791,26224699,34085732,43121414,43121415,43121400,34045924,34045923,43121398,53622140,65670165,53622138,257849137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1732118, s2 = 257344, dlinesl.size( ) = 14 s1 = 548240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8001485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7916055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8432698, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13315437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6628544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 381524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6744590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6744590, s2 = 604700, int(edited[s2]) = 0 s1 = 6744590, s2 = 604700, d1 = 13, d2 = 12 Dl.O(d1) = 258014742,58055761,46681664,46681660,36795799,36795798,269304871,65833027,257261968,26298720,19575891 Dl.O(d2) = 15557087,21580634,28852847,33646722,33646723,39181521,47909408,47909409,256745819,35095201,32720959,32143918,32143917,35095066,27008700,20117139,14426972,9924059,9924060,14426974,14426997,14426998,20117164,27008729,32143909,24561357,18122299,12850017,8738234,5688719,3538827,3538828,254625771,12850031,14427100,13144396,8958685,5847529,3649187,3649188,5847531,8958688,13144401,18501140,15103983,10417539,6867479,4310201,4310202,6867481,10417543,15103993,12562196,254800271,7737049,7737050,5621557,3492451,3492452,5621562,8643501,12720763,17951332,17290164,17290162,23602807,31086998,32699897,25016556,18486902,13133729,8951011,8951012,13133731,18486903,25016558,255686643,18501088,14426938,9924119,6522488,4086783,2445010,2445011,4086806,6522521,9924173,14427144,20117355,23215760,23215761,268126023,12850033,16943615,20117103,27008665,20117110,14426947,14426946,255745609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6744590, s2 = 604700, dlinesl.size( ) = 14 s1 = 6537859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6537859, s2 = 16061320, int(edited[s2]) = 0 s1 = 6537859, s2 = 16061320, d1 = 73, d2 = 43 Dl.O(d1) = 255712873,14023928,9640344,6337418,3975425,3975426,3975441,3975442,6337453,9640410,14024061,19576460,16084602,11170578,7410840,4682662,4682663,7410844,11170587,15396320,10640902,10640901,15396316,16620733,11593456,7717372,7717374,11593449,7717381,7717382,11593473,16620764,16549493,11534978,7674011,4855805,4855807,7674016,11534985,16549504,22762108,22762109,30149483,31583492,26299301,26299300,26299309,256531236,13639161,13639160,19103141,25736002,33515476,26125606,19431056,13903065,9772371,6425344,4031055,2415611,1398296,795724,795721,1398288 Dl.O(d2) = 182860114,172954807,161786999,261690304,122257629,107848606,93424628,79296867,65934245,53867546,43343027,34243364,26366644,19633850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6537859, s2 = 16061320, dlinesl.size( ) = 2 s1 = 6537859, s2 = 16061320, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6537859, Dl.E( ) = 86, 2.19e-05 seconds used appending s1 = 7984813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 768471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 551062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7944357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7944357, s2 = 40303, int(edited[s2]) = 0 s1 = 7944357, s2 = 40303, d1 = 27, d2 = 0 Dl.O(d1) = 3926837,6271670,6271673,9557836,12735206,13925191,13617382,13617383,19074111,254449442,12471891,12471892,17645444,23990274,25359678,255116388,9139683,5980934,3739981,3739980,5980930,9139675,13372613,254302444,9555822,6270236,3925874,2350289,1361530,776004,776005,1361537,2350304,3925847,6270184,9555748,13922191,19454665,25832314,19218940,13728185,9659703,9659705,14048094,19605484,19826549,19606016,14048611,14048612,19606017,19606737 Dl.O(d2) = 771652,438370,438368,441964,771652,438370,438368,441960,779061,774268,774271,1358228,2344776,3917235,6257414,9538322,9554600,255217942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7944357, s2 = 40303, dlinesl.size( ) = 2 s1 = 7944357, s2 = 40303, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7944357, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 2311803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6504164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8002687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9462552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16175451, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 771363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 553158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 553158, s2 = 4705444, int(edited[s2]) = 0 s1 = 553158, s2 = 4705444, d1 = 2, d2 = 11 Dl.O(d1) = 14102750 Dl.O(d2) = 191681538,264412543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 553158, s2 = 4705444, dlinesl.size( ) = 2 s1 = 553158, s2 = 4705444, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 553158, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 8083688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6538380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9464604, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14162224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 554604, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 774304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186045, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655906, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9135822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1212974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13398719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13398719, s2 = 14028724, int(edited[s2]) = 0 s1 = 13398719, s2 = 14028724, d1 = 37, d2 = 14 Dl.O(d1) = 42913900,53380292,65384252,54599098,48824599,38902400,30315642,30315643,38902405,48824606,48824581,38902389,30315638,30315639,38902394,48824592,269174428,52068808,41754965,41754963,47695130,59093553,60221353,72961142,85916236,72323006,72323004,71528714,60221361,48824258,48824257,40245910,40245909,50265594,61743944,71528671,71528668,58799727,47412867,37505276,28962024,256345937,47412871,58799737,71528701,67730188,67730189,257110608,75550802,62613026,62613025,60221690,48824603,48824602,60221688,64552406,60221670,48824587,48824588,60221672,72961402,86560823,76997270,63886920,63886919,71833433,77979884,72961420,72961421,86560831,85099996,71528722,58799756,58799757,64248391,64248392,72322975,85099967,71528675,58799691,47412828,42049541,33100883,33100882,256073608,37505260,28962013,28962014,37505263,47412857,58799718,59588444,48201959,38292591,29725753,22369262,22369261,29725751,29725768,29725769,38292627,47412833,42636961,42636960,48201993,48201994,59588483,59588465,48201972,48201971,59588460,48202086,38292676,38292677,48202088,47412873,37505280,37505281,47412875,52564756,64440045,59588507,58799678,47412818,47412817,42636917,33611169,25812291,25812290,33611162,42636911,34212352,34212353,43310565,38292619,38292618,48202009,44520198,44520197,40969747,38292652,29725785,22369284,16214810,11271717,11271716,16214806,22369273,26338626,34212380,43310615,38933207,38933206,38933211,48852599,60245589,61664670,70421788,70421787,57726821,46376573 Dl.O(d2) = 8691279,8691278,12784927,18036302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13398719, s2 = 14028724, dlinesl.size( ) = 2 s1 = 13398719, s2 = 14028724, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13398719, Dl.E( ) = 40, 1.41e-05 seconds used appending s1 = 924383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658820, s2 = 776391, int(edited[s2]) = 0 s1 = 11658820, s2 = 776391, d1 = 28, d2 = 21 Dl.O(d1) = 255066800,13292031,14963357,10295777,10295775,6823004,6822984,6822983,7670930,6845606,6845605,6788085,6788086,10318276,6845104,4295081,2567845,1478479,836029,471351,471353,543638,267740007,168646,304653,543647,964735,1696618,2924808,4853634,4255767,2564303,1476659,834967,470642,470641,831498,1291646,737236,419029,236476,236477,419033,737248,1291676,833168,833167,1473181,2549057,1468419,1468420,833516,833517,254219823,4279914,5373357,3304102,3304101,254592765,12325514,17481518,20871647,28039636,36502960,46361069,269762177,70404386,258624521,272161855,273333389,84897488,71323928,58590729,47199702,47199701,47199703,58590731,71323929,73314991,60572137,49173217,49173218,60572139,73314993,86924732,100904956,259951414,113068135,99079412,85155847,258707384,58865553,47483447,256351906,256351905,47483446,58865551,54594858,43850377,34578548,254759112,23353637,17085910,17085909,17085929,23353651,30777618,35377216,27252497,20319569,20319570,27252498,255323098,40192688,40192689,50079374,40057902,31375485,29421502,29421501,24005031,24005030,31503683,29130227,21823240,15756326,15756327,14361449,9868229,9868230,14361450,20046641,14360926,14360928,14365733,9872409,6485565,4063988,4063990,6485587,6494196,6494193,9884138,14378122,14356278,9864197,9864199,14356288,17196696,12092360,12092362,16187673,22094447,17196893,15756196,14376733,14376732,20061155,21776618,21776619,17045081,12039631,10892012,10892011,15728658,21787170,29084770,28443364,21217485,21217487,26949631,23033546,23033545,22095366,22095369,22154849,20846560,20846558,22154691,26953433,34979185,26899764,20017607,14336701,14336702,20017608,26899766,21662018,15626014,10812272,7144961,7144962,10812274,12415888,15556770,11179593,11179598,8132050,5210018,3178593,1860627,1860624,3178601,5210035,8132084,12092537,17196974,23479950,254688088,35016308,30916590,23479565,17196676,16457152,11466550,11466549,16457148,22648269,30021051,38593738,48508543,47618107,37694268,37694267,47618105,267947138,34992763,26911425,26911426,21825565,21825566,22680044,16482403,11484336,11484337,16482406,22680048,254684714,14338211,9850282,9850281,14338207,20019225,26901638,34086850,34086849,43170217,256062574,65736489,257122248,60507547,49103472,39173187,30575425 Dl.O(d2) = 40068562,31386041,23889522,255567727,12373684,12373683,12629698,8575032,8575031,6279597,3932054,2354026,1363582,254210335,3932043,6279582,8989464,13187224,18558474,25107860,30284822,25467336,18867143,13942468,9569701,6279642,6279640,9569696,13942462,13942453,13942454,19482885,13942555,12115726,8574949,8574950,12629579,17835340,17234440,12115521,8146191,5218445,5218446,8146195,12115528,17234453,13445870,13445869,13445881,12115641,8146278,8146277,8146318,8146317,8574962,5869241,5869245,8989648,8989660,8989659,13187300,8989668,5869257,5869131,5869132,8989475,8574879,5570841,5570842,8574880,12629485,17835253,19483134,19483135,18558521,13447278,9195631,9195632,8989528,7746687,7746686,6279574,6279575,9569607,13187292,8989521,8989522,6019147,3765436,3765435,6019145,9194202,13445523,255262576,18558723,254922536,13187278,9195770,9194299,6019215,3765660,2256472,2256471,3766171,6020292,9195293,255262721,255262590,267931574,9193196,13443719,13443718,13446185,13446184,13443740,9195512,9195514,6020335,3766202,2256489,2256490,3766206,6020340,9192818,13443496,9193055,6018468,3765045,3765047,6018471,254650783,3765030,3765029,2256116,2256115,3765036,6018454,6020013,3765981,3765979,3766024,3765939,3765940,6019621,3766013,254204749,747552,747553,1309556,254299961,6020066,9195468,13447104,254922741,3766196,3766197,6020328,9194689,9194688,13446052,9194825,6019634,6019635,9194826,13446190,18869727,25469813,18870856,18870857,25467194,25467193,18870793,13446962,9195341,9194323,6019238,6019237,9194321,13445644,18869298,25469487,25467106,25467108,25466995,18866778,13443614,13443615,18814015,13443623,9192919,9192918,13443619,13446987,18870819,25471142,21134713,15185035,10474307,6906266,4337706,4337705,6906261,10474299,15185022,11100901,11100903,15184989,10474278,10474279,15184992,21134662,18871281,18871280,20065542,26950276,28930651,37472035,29547806,29547807,37061377,28560335,28560336,33143840,25404171,18814483,18814481,255600332,23624408,23624407,31040152,25404108,20065445,14381359,14381358,20065443,20065596,20065475,20065474,20065579,14381470,9887143,6496388,4070712,2435847,2435846,4070710,6496384,9887138,14381463,14381609,18814476,18814072,18814073,25403731,18814905,13403862,9163950,5997703,3750797,3750742,2246026,2246027,1302798,743244,743241,1302788,2246067,2418575,1400005,796860,451695,451696,796861,1399441,2417474,4033985,254682881,14226081,19856836,26673948,34667110,43941239,54683911,66940187,259136949,108706279,122971882,136802798,149938901,162150553,173249618,263423817,199108675,205368256,199108680,191707702,183099779,183099778 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9336036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 776618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 777075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14321621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7838372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9686081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162578, s2 = 9709585, int(edited[s2]) = 0 s1 = 14162578, s2 = 9709585, d1 = 12, d2 = 11 Dl.O(d1) = 257270140,12988134,12988135,18295416,12986202,8840514,5761398,3588448,2139379,2135291,2135292,2139448,2175590,2120525,2120527,2136867,2071854,2071851,3488319,5615612,268006227,17937237,268451861,256862446,268919091,255401120,21408306,255401120,267824758,7039433,10659666,15420146,21408305,28650883,37167977,28650881,28650880,37167976,47059534,58434672,255658620 Dl.O(d2) = 95278032,81220460,67754087,55413694,51594531,51594530,63317473,76313394,63290261,51572022,47662649,47662650,59062768,49017380,49017381,60421114,71803387,59062766,59062767,71803388,76313392,74168709,268692732,39887267,31208422,31208423,39887270,37445418,28906176,28906175,37445416,37895903,47817934,59216500,71954978,63110286,268266898,32394446,32394447,41217568,51413907,255597750,38992488,30403433,30403432,38992485,255597748,32394441,41217556,51413891,63110273,63110303,51413991,41217668,41217667,51413990,55414594,44567182,41217560,32394443,24771755,18292606,12983995,8838806,6554680,4106272,4106273,6554682,9973299,14494717,20200615,27100234,35189015,39346865,49273052,51413838,51413839,63110228,67754854,63110322,51413939,41217601,41217600,51413938,59216502,47817935,41217648,41217647,49748974,49748973,47845128,47845129,53528733,43048929,33990170,26149252,20120860,14429572,9925682,6523441,6523442,6523615,4087476,2445390,2445391,2445312,2445311,4087373,6523431,9925745,14429701,20120861,14429699,255330219,9925987,6523589,6523588,6523463,4087350,4087352,6523465,4087358,4087357,6523466,9925784,255330231,20121585,255745981,35101059,44478120,55324275,57612511,256803939,27957217,20795656,14903022,14903021,20795655,21760505,22063029,22063027,20795664,14903024,10246770,6732541,4218063,4218064,6732543,10246773,14903028,20795673,22170676,27957214,20795652,254995109,10246768,14903019,20795649,27957213,36415371,34970579,26891466,26891465,34970577,26891469,20010396,14331035,14331034,20010395,256210757,34970580,44348117,55198691,49338640,39409147,30804250,23376283,17106609,12020687,8080283,5175809,5175810,8080286,255147521,12020681,17106600,23376273,255498851,16615805,22837510,30229595,26646084,21741486,15691020,15691021,21741487,26138502,33977415,43034307,53512478,65536853,78872303,92984009,107394608,121779200,135719602,148958618,161263669,172462939,182414035,191116310,198605920,264396761,210210974,208333838,202623245,195828444,187893570,178792643,168487395,157040471,144642515,131419904,117618909,260193691,89394069,89394068,270598482,40917169,32139802,24557969,18119891,12848432,8737180,5688059,5688058,254635043,5687703,3538241,3538242,5687705,8736481,12847216,18117923,24555315,32136792,24558673,268242256,18118433,12847540,8736677,8736504,8736501,12847241,13362911,18765889,25346992,24555158,22117680,16004533,11110985,11110986,16004539,22117352,24557501,32139280,25245495,23032132,23032130,24555816,24555817,32137316,40915015,51056764,47430017,37522406,32969572,30880611,23449562,17173281,17173280,23449558,29562086,23239549,23239550,17173316,17173317,255987127,39486391,37289435,37289434,41726302,32806046,25104001,25104000,32806043,41726297,52041357,63860915,76972586,75894209,62919847,62919848,75894211,89669579,103766943,117903774,131719318,261910783,263297109,273767355,265454745,227167256,227167259,274354152,274670094,235213726,274797744,266597294,233734131,232571273,231283793,229848220,228231718,226391129,224277715,221840828,219000241,264517008,211563279,206579648,200547929,193405060,185081865,175549164,164801418,152972341,140282382,126934543,258779478,85171024,71606312,58886725,47507616,37603719,29055474,21760846,15705511,13336997,13336998,18734773,25311530,31723230,25323707,18744806,13344645,13170533,8977954,5861304,3659157,3659156,5861297,8977937,13170497,18535813,19345781,19345780,16217429,16217427,19658340,14090920,9691834,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,12030236,17119212,17309632,17309633,19653957,19653958,15867725,15867723,21960596,254800734,15861746,10993952,10993951,15861744,19655599,26389910,268824992,65956945,79320816,93452050,107881315,122297434,136274192,149539783,161844559,173009958,182907935,173009954,161844557,161844556,173009953,182907932,191552048,198981325,205262824,210461284,214708507,218202643,221137284,223649228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162578, s2 = 9709585, dlinesl.size( ) = 2 s1 = 14162578, s2 = 9709585, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162578, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 778845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 778845, s2 = 7912368, int(edited[s2]) = 0 s1 = 778845, s2 = 7912368, d1 = 11, d2 = 40 Dl.O(d1) = 20011264 Dl.O(d2) = 33209528,41752922,32831854,25126837,18574288,18574287,25126834,32831849,29496795,22157716,254907014,33171018,25428539,18834907,13419622,9175363,6005397,3755751,3755752,5874408,8997847,254920184,25126696,32831717,33193334,33193333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 778845, s2 = 7912368, dlinesl.size( ) = 2 s1 = 778845, s2 = 7912368, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 778845, Dl.E( ) = 54, 1.91e-05 seconds used appending s1 = 558952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 558952, s2 = 8135670, int(edited[s2]) = 0 s1 = 558952, s2 = 8135670, d1 = 0, d2 = 12 Dl.O(d1) = 14336815 Dl.O(d2) = 257906385,257560408,38746972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 558952, s2 = 8135670, dlinesl.size( ) = 14 s1 = 6456454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 559025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10175177, s2 = 10989685, int(edited[s2]) = 0 s1 = 10175177, s2 = 10989685, d1 = 5, d2 = 8 Dl.O(d1) = 46507754,258169775 Dl.O(d2) = 254549819,6927409,4800326,4800325,254367065,1715000,1715001,2957692,4810114,2899001,2899000,4810108,2899252,2899253,4810558,7603922,4907134,4907133,7748487,11631095,254692183,4098948,2452015,2452014,4098944,6542561,4809622,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803382,5966840,4866567,4866565,7616434,7616184,4818777,4818778,7616061,7616062,7611578,4815569,4815571,7611584,7696857,11432363,12128235,8159705,5230506,3192030,1868266,1868265,2328544,2328543,3889004,6213332,9476044,11437147,11441443,11441445,11439104,7608161,4813188,4813189,7608164,11441465,11615921,7735230,7735231,10398325,10398327,12837997,8730044,8730041,6472920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10175177, s2 = 10989685, dlinesl.size( ) = 2 s1 = 10175177, s2 = 10989685, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10175177, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 390198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 560563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 615422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7857253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13329697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13329697, s2 = 2519119, int(edited[s2]) = 0 s1 = 13329697, s2 = 2519119, d1 = 38, d2 = 28 Dl.O(d1) = 11335820,11335819,16292798,15728776,10892086,10892089,10893312,7532630,4872120,4872119,7698099,11565804,16585622,20074037 Dl.O(d2) = 71643502,58922428,47541378,257477163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13329697, s2 = 2519119, dlinesl.size( ) = 14 s1 = 8547435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8547435, s2 = 14162489, int(edited[s2]) = 0 s1 = 8547435, s2 = 14162489, d1 = 6, d2 = 6 Dl.O(d1) = 46373291,36514399,268371801,14979376,11529922,7670171,4853105,2924503,2924501,2926908,2926907,1697846,1697847,1697864,1697865,2541179,1464058,828490,467533,263022,263023,467539,828509,1457566,825234,825233,1291295,1472379,2556245,4275560,6768098,6751053,4230291,2529346,2529345,3306620,3306619,4232841,2530786,1461641,1461642,2536494,2546612,1467095,830064,830063,1467091,2546604,4259800,6788580,4255920,2544242,2544241,4255917,6760606,6760605,10285294,9058643,9058644,12093348,8333753,5378706,4264786,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467155,1467159,2546740,2547914,2547915,4261897,6796874,4299491,4299490,5922667,3703434,2218123,2218122,3703429,3714142,3714141,5939861,6791769,6791767,4260372,2546962,2546961,4260368,6780395,4258945,4258946,6792784,5940751,5940752,4285060,3702831,3702830,5921680,7720996,6817781,4276632,2556957,1472774,832953,832952,1472786,2556978,1475516,1475515,2562263,4227775,4227776,6747129,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208292,5211364,4284267,4284272,2758783,2758785,3466197,2055402,2055404,3178959,5210594,4265758,2550386,1469178,1469181,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,15000020,10364756,8130766,5209217,5209215,8130756,9086958,5944035,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332804,597051,1061758,1061761,1860504,254576215,12091257,17195166,23477614,30914443,39524948,49458608,48925090,39001087,39001086,48925085,60323555,259434543,86669784,73611714,73611713,87233107,101233452,115311659,115311641,101233387,87233050,73611678,60861587,49458590,49458589,60861585,258849953,101233383,87233060,269850301,49458592,258227033,87233057,101233394,115311650,129239597,142609463,155245052,262791341,177466693,177466692,166928885,155245076,142609480,129239607,129239606,139513516,261624124,272170163,112121116,98161850,98161851,98297853,84389371,70832338,58117750,46749143,46749142,42626979,42626978,53074530,55347277,44500930,35123076,255747591,14448773,9940258,6533317,4093639,2449130,2449129,4093636,6533307,9940241,14448748,20142998,27035870,35123033,44500883,41139844,32325544,255622153,12937460,12937459,18238770,20080643,14397598,254847068,6509124,9903241,14397596,20080639,26965217,35045629,257307551,67608830,81076867,95135440,260397465,123582131,123582132,260558674,98933012,85007071,71433561,58701319,47311346,37401909,37401910,256010598,49881067,39858129,31175571,31175572,39858131,49881069,61362600,74143210,87747725,87747722,257062000,63881132,52063065,41749339,32828673,25124268,25124269,256106327,13197732,13197731,18572238,25124266,32828671,41749334,52063059,52063069,63881135,76991660,76991656,76991657,84433747,70876273,58162071,46794575,257422831,70876274,259903401,95093463,84939690,71363021,257454995,37324928,28788717,28788718,37324931,47233704,58626393,71363040,84939688,71363019,71363018 Dl.O(d2) = 46373291,36514399,268371801,14979376,11529922,7670171,4853105,2924503,2924501,2926908,2926907,1697846,1697847,1697864,1697865,2541179,1464058,828490,467533,263022,263023,467539,828509,1457566,825234,825233,1291295,1472379,2556245,4275560,6768098,6751053,4230291,2529346,2529345,3306620,3306619,4232841,2530786,1461641,1461642,2536494,2546612,1467095,830064,830063,1467091,2546604,4259800,6788580,4255920,2544242,2544241,4255917,6760606,6760605,10285294,9058643,9058644,12093348,8333753,5378706,4264786,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467155,1467159,2546740,2547914,2547915,4261897,6796874,4299491,4299490,5922667,3703434,2218123,2218122,3703429,3714142,3714141,5939861,6791769,6791767,4260372,2546962,2546961,4260368,6780395,4258945,4258946,6792784,5940751,5940752,4285060,3702831,3702830,5921680,7720996,6817781,4276632,2556957,1472774,832953,832952,1472786,2556978,1475516,1475515,2562263,4227775,4227776,6747129,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208292,5211364,4284267,4284272,2758783,2758785,3466197,2055402,2055404,3178959,5210594,4265758,2550386,1469178,1469181,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,15000020,10364756,8130766,5209217,5209215,8130756,9086958,5944035,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332804,597051,1061758,1061761,1860504,254576215,12091257,17195166,23477614,30914443,39524948,49458608,48925090,39001087,39001086,48925085,60323555,259434543,86669784,73611714,73611713,87233107,101233452,115311659,115311641,101233387,87233050,73611678,60861587,49458590,49458589,60861585,258849953,101233383,87233060,269850301,49458592,258227033,87233057,101233394,115311650,129239597,142609463,155245052,262791341,177466693,177466692,166928885,155245076,142609480,129239607,129239606,139513516,261624124,272170163,112121116,98161850,98161851,98297853,84389371,70832338,58117750,46749143,46749142,42626979,42626978,53074530,55347277,44500930,35123076,255747591,14448773,9940258,6533317,4093639,2449130,2449129,4093636,6533307,9940241,14448748,20142998,27035870,35123033,44500883,41139844,32325544,255622153,12937460,12937459,18238770,20080643,14397598,254847068,6509124,9903241,14397596,20080639,26965217,35045629,257307551,67608830,81076867,95135440,260397465,123582131,123582132,260558674,98933012,85007071,71433561,58701319,47311346,37401909,37401910,256010598,49881067,39858129,31175571,31175572,39858131,49881069,61362600,74143210,87747725,87747722,257062000,63881132,52063065,41749339,32828673,25124268,25124269,256106327,13197732,13197731,18572238,25124266,32828671,41749334,52063059,52063069,63881135,76991660,76991656,76991657,84433747,70876273,58162071,46794575,257422831,70876274,259903401,95093463,84939690,71363021,257454995,37324928,28788717,28788718,37324931,47233704,58626393,71363040,84939688,71363019,71363018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8547435, s2 = 14162489, dlinesl.size( ) = 2 s1 = 8547435, s2 = 14162489, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8547435, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 8026482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 961506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 961506, s2 = 8573887, int(edited[s2]) = 0 s1 = 961506, s2 = 8573887, d1 = 60, d2 = 66 Dl.O(d1) = 24295601,17913167,12691022,12691021,17913166,268911106,27133246,20227310,14514841,14514842,20227317,27133261,35227441,41486574,41486573,47514070,48502783,44624927,35241515,35241514,35241575,35241574,44625006,35241663,27144716,20235814,14520710,9991474,6566681,6566680,9991465,14520696,20235789,27144667,35241591,44625019,51756770,51756710,41486470,32607498,32607499,41486472,51756713,55475276,44625312,44625104,38941692,38941693,48861217,41486621,32607581,24943714,18429840,13090983,13090982,18429835,24943706,32607567,41486599,46656862,50541655,42314930,42314931,52702133,57714011,55475168,55475167,67817562,62033198,55264518,44416934,35042542,35042540,44416932,48861141,44416964,44416960,55264554,67606215,55475062,257922819,257801082,38941675,38941676,38941722,48861246,38941721,30355508,22953699,16717122,16717124,22953712,30355549,38941781,48861316,48861307,46656792,36771822,28986008,21702844,21702843,28986005,28985983,28985982,28987989,28987991,37532785,38941673,44419793,55267116,67608619,55267120,48932288,39008675,39008677,47438648,58825338,60779645,60779646,60254144,48861371,38941797,30355555,30355556,38941804,48861382,60254154,58029131,46656770,46656769,44424297,35049544,35049538,35049537,44424285,38941753,30355530,22953704,22953703,30355523,36771830,37530475,47438555,40234082,40234083,36771842,36771838,46656822,58029167,47438613,37530512,28985962,28985960,37530506,47438609,58825310,60779694,60779684,49378479,39450371,30846171,23416059,17140147,12045835,12045837,17140152,23416072,30846198,29287117,29287116,35047089,35047087,36828667,44417929,35043591,35043592,44417935,49378433,49378431,49378459,44418712,37530413,35017052,35017053,44393315,46656906,47438458,37530400,37530401,47438464,58825165,67607553,60779626,49378415,49378412,49378410,44421154,35046635,35046636,44421156,44418669,35044320,35044321,38805036,35047117,26966326,20081471,20081470,26966319,30846135,23416034,23416033,30846131,26963366,26963365,29287109,21961278,21961279,20081451,20081450,26966306,35043993,44418351,52068834 Dl.O(d2) = 274091058,265180083 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8397850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8397850, s2 = 1376634, int(edited[s2]) = 0 s1 = 8397850, s2 = 1376634, d1 = 23, d2 = 22 Dl.O(d1) = 256551550,59166126,47767389,47767388,50483994,40447507,258914873 Dl.O(d2) = 35062073,256743370,11543808,12395070,12395069,17149369,17149371,17557656,17399479,12261897,12261896,12436709,12267861,12267860,8405409,5423843,5423844,5192801,5192802,5344624,5344626,8284487,11747283,8458322,5465247,5465245,8380681,8380682,12400810,17572674,23717640,23718907,23718908,23913627,20146939,14452200,9942890,9942891,14452202,20146943,17397803,12385353,12385356,10465079,6898189,4330246,4330249,6898203,10465102,14254460,17403765,17403763,15847951,10983092,10983091,15847948,17403752,12264949,12264948,17403750,23155657,30573229,39171236,40075933,31394589,23901120,23736823,17411986,12271001,12270999,17411982,12316447,9326699,258427303,29227228,29227227,37789161,29227250,21911204,15829202,10969599,7260902,7260901,10969597,15829199,21911199,29227241,37789185,47710201,47710210,47710211,55398894,261561247,141121298,260602045,113888925,259647745,77354440,64206756,64206757,77354442,91274368,77354451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 251483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 782784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 782784, s2 = 8436169, int(edited[s2]) = 0 s1 = 782784, s2 = 8436169, d1 = 1, d2 = 7 Dl.O(d1) = 20095763 Dl.O(d2) = 109400901,123592548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 782784, s2 = 8436169, dlinesl.size( ) = 2 s1 = 782784, s2 = 8436169, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 782784, Dl.E( ) = 12, 4.77e-06 seconds used appending s1 = 9505744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9505744, s2 = 14162491, int(edited[s2]) = 0 s1 = 9505744, s2 = 14162491, d1 = 9, d2 = 9 Dl.O(d1) = 74843057,62044717,255262020,255665042,74843053,88478737,257790442,88478738,88478739,102484979,116586308,105871618,91663111,77735001,64552565,52653054,42267177,33287135,33287134,42267175,52653050,64552559,77734996,91663108,105871616,120084844,261979511,147152520,133928397,120084837,105871607,105871608,120084838,133928400,147152522,159513552,159513554,147152523,136786293,260379379,94403347,80349020,257887711,43923660,34650433,26659127,26659128,34650435,43923664,54666244,43923666,34650436,26659129,26659130,34650438,43923670,44454723,35079731,26994917,20104100,20104099,20104096,14414404,9913529,6514934,4082079,2442430,1412317,1412318,2442434,4082086,6514946,9913525,9913524,14414398,255328873,9913568,9913570,14414463,268338073,256744443,257909325,67637665,67637648,55299549,44454954,35079955,26995086,26995085,35079953,44454951,257909339,81103475,67637524,55299404,44454782,44454783,55299408,55299367,55299368,55299576,67637675,81103441,67637488,55299373,44454748,44454747,55299370,67637483,81103403,67637444,55299333,55299334,67637446,77290137,77290138,77290129,64141183,64141182,70795456,58078112,46705935,36823155,28327533,21117417,15170931,15170930,21117416,28327530,28283139,21077873,21077874,28283142,36779323,36823123,46705898,46664627,46664626,36823084,28327467,28327468,256836763,58078035,70795398,70795464,84353975,269090074,46705896,46705895,46399616,37582551,36623679,28150325,20972299,15061883,10386519,6844948,4294954,2924507,2924508,2217861,1286832,1286833,2217863,3702931,254345247,2759588,4586940,4586494,4586493,7272754,10986916,15852640,21940965,21561969,15540745,15540746,254436982,31072971,39750561,49768996,61247814,74027915,257171518,61247809,61247810,74027910,256883768,99411857,99411858,113413110,108690455,94403285,94403284,84356865,84356864,98265389,112239097,98261312,98261313,98261310,98261311,84981065,84981064,98906384,257760550,270501892,114587048,100554906,100554908,107006856,99411886,85471013,85471014,99411888,113413124,116503343,102408040,102408041,100554886,100554885,114587037,108690494,94403321,80349001,80349002,94403330,108690504,98874297,269492946,84948186,71372010,58635202,58635201,71372009,80348999,80349000,80348971,66922770,54666211,54666210,60111601,48716900,38795681,38795680,48716898,258173777,48716871,38795663,30211296,22819348,22819351,30211300,255872518,21529232,28794238,37331615,47241625,58635217,71372040,60111562,48716877,48716876,47241632,47241631,48716864,58635231,47241636,47241635,58635229,71372054,72847898,83869377,70344163,57653638,46308919,36456132,36456131,46308917,57653634,70344160,80348944,80348945,77788276,64605364,52704850,52704851,53063946,53348949,257538739,48377943,42616138,33592153,33592154,42616140,53063924,47072852,40451373,40451372,42616157,33592168,33592169,42616159,53063942,65046974,78326899,78460607,65176318,53190709,53190710,50487692,50487691,257100181,31756490,24244777,24244780,31756497,40451401,50487696,53063911,65046955,65176304,61982211,50490259,50490258,50487680,50487681,61979854,61982204,50490252,40454501,31760177,31760174,40454495,42741168,33711543,25905169,255286783,13750042,13750044,13750045,19244238,25905177,33711583,40659532,50729245,55443201,256755277,27120041,20216772,14506994,9982350,9982352,14506995,20216777,27120050,25730633,25730632,19244219,255693363,31661899,40357010,50392017,42741163,33711540,33711541,35212388,35212389,44593097,54666131,43923574,43923575,35212325,255693372,20216752,27120017,27120006,20216745,14506977,9982342,6561024,4110289,4110290,6561026,9982346,14217493,9774285,254466649,2416369,2416370,4032038,6426712,9774287,14217498,19844976,26659143,34650458,43923688,54666264,43923697,34650464,26659146,26659147,34650465,43923695,43923696,54666273,66922838,80349045,94403371,108690536,258617370,91685941,77758835,77758836,68080241,55681535,44772687,35347492,35347491,44772685,55681530,55681540,59433680,72172357,59433846,48041782,39915349,31239861,23756125,23756122,17429566,17429567,23756306,31239651,39915160,49933406,61411978,72172336,72172335,85766664,99720779,113735403,127604224,140953621,140953615,127604220,113735401,113735402,127604222,140953617,153620000,153620005,153620006,160263957,148016497,134896569,121094928,106835290,92523730,78483860,65199369,53213622,42763795,42763796,42763787,42763788,53213613,53213616,42763789,33733804,25926843,256161489,42763792,41345053,32497650,32497651,41345055,40567140,33733802,255232778,13769415,13769414,10908699,7214381,7214384,10908687,15751599,18158567,18638968,13819715,13819718,14049510,9660841,9660844,9565401,6277122,3930565,3930567,6277130 Dl.O(d2) = 74843057,62044717,255262020,255665042,74843053,88478737,257790442,88478738,88478739,102484979,116586308,105871618,91663111,77735001,64552565,52653054,42267177,33287135,33287134,42267175,52653050,64552559,77734996,91663108,105871616,120084844,261979511,147152520,133928397,120084837,105871607,105871608,120084838,133928400,147152522,159513552,159513554,147152523,136786293,260379379,94403347,80349020,257887711,43923660,34650433,26659127,26659128,34650435,43923664,54666244,43923666,34650436,26659129,26659130,34650438,43923670,44454723,35079731,26994917,20104100,20104099,20104096,14414404,9913529,6514934,4082079,2442430,1412317,1412318,2442434,4082086,6514946,9913525,9913524,14414398,255328873,9913568,9913570,14414463,268338073,256744443,257909325,67637665,67637648,55299549,44454954,35079955,26995086,26995085,35079953,44454951,257909339,81103475,67637524,55299404,44454782,44454783,55299408,55299367,55299368,55299576,67637675,81103441,67637488,55299373,44454748,44454747,55299370,67637483,81103403,67637444,55299333,55299334,67637446,77290137,77290138,77290129,64141183,64141182,70795456,58078112,46705935,36823155,28327533,21117417,15170931,15170930,21117416,28327530,28283139,21077873,21077874,28283142,36779323,36823123,46705898,46664627,46664626,36823084,28327467,28327468,256836763,58078035,70795398,70795464,84353975,269090074,46705896,46705895,46399616,37582551,36623679,28150325,20972299,15061883,10386519,6844948,4294954,2924507,2924508,2217861,1286832,1286833,2217863,3702931,254345247,2759588,4586940,4586494,4586493,7272754,10986916,15852640,21940965,21561969,15540745,15540746,254436982,31072971,39750561,49768996,61247814,74027915,257171518,61247809,61247810,74027910,256883768,99411857,99411858,113413110,108690455,94403285,94403284,84356865,84356864,98265389,112239097,98261312,98261313,98261310,98261311,84981065,84981064,98906384,257760550,270501892,114587048,100554906,100554908,107006856,99411886,85471013,85471014,99411888,113413124,116503343,102408040,102408041,100554886,100554885,114587037,108690494,94403321,80349001,80349002,94403330,108690504,98874297,269492946,84948186,71372010,58635202,58635201,71372009,80348999,80349000,80348971,66922770,54666211,54666210,60111601,48716900,38795681,38795680,48716898,258173777,48716871,38795663,30211296,22819348,22819351,30211300,255872518,21529232,28794238,37331615,47241625,58635217,71372040,60111562,48716877,48716876,47241632,47241631,48716864,58635231,47241636,47241635,58635229,71372054,72847898,83869377,70344163,57653638,46308919,36456132,36456131,46308917,57653634,70344160,80348944,80348945,77788276,64605364,52704850,52704851,53063946,53348949,257538739,48377943,42616138,33592153,33592154,42616140,53063924,47072852,40451373,40451372,42616157,33592168,33592169,42616159,53063942,65046974,78326899,78460607,65176318,53190709,53190710,50487692,50487691,257100181,31756490,24244777,24244780,31756497,40451401,50487696,53063911,65046955,65176304,61982211,50490259,50490258,50487680,50487681,61979854,61982204,50490252,40454501,31760177,31760174,40454495,42741168,33711543,25905169,255286783,13750042,13750044,13750045,19244238,25905177,33711583,40659532,50729245,55443201,256755277,27120041,20216772,14506994,9982350,9982352,14506995,20216777,27120050,25730633,25730632,19244219,255693363,31661899,40357010,50392017,42741163,33711540,33711541,35212388,35212389,44593097,54666131,43923574,43923575,35212325,255693372,20216752,27120017,27120006,20216745,14506977,9982342,6561024,4110289,4110290,6561026,9982346,14217493,9774285,254466649,2416369,2416370,4032038,6426712,9774287,14217498,19844976,26659143,34650458,43923688,54666264,43923697,34650464,26659146,26659147,34650465,43923695,43923696,54666273,66922838,80349045,94403371,108690536,258617370,91685941,77758835,77758836,68080241,55681535,44772687,35347492,35347491,44772685,55681530,55681540,59433680,72172357,59433846,48041782,39915349,31239861,23756125,23756122,17429566,17429567,23756306,31239651,39915160,49933406,61411978,72172336,72172335,85766664,99720779,113735403,127604224,140953621,140953615,127604220,113735401,113735402,127604222,140953617,153620000,153620005,153620006,160263957,148016497,134896569,121094928,106835290,92523730,78483860,65199369,53213622,42763795,42763796,42763787,42763788,53213613,53213616,42763789,33733804,25926843,256161489,42763792,41345053,32497650,32497651,41345055,40567140,33733802,255232778,13769415,13769414,10908699,7214381,7214384,10908687,15751599,18158567,18638968,13819715,13819718,14049510,9660841,9660844,9565401,6277122,3930565,3930567,6277130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9505744, s2 = 14162491, dlinesl.size( ) = 2 s1 = 9505744, s2 = 14162491, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9505744, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 9738808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340247, s2 = 8133109, int(edited[s2]) = 0 s1 = 10340247, s2 = 8133109, d1 = 47, d2 = 87 Dl.O(d1) = 256410852 Dl.O(d2) = 11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445808,2445809,4088218,6524827,9928036,14432885,17339385,23365247,23365246,30791182,30758576,30758578,23658460,20125992,14434180,9928980,6525411,4088548,4088549,5280572,5280573,8209789,12178198,16350060,20123542,17338564,17338565,13330863,13330864,18726129,25300529,23606403,17293480,17293478,17288148,12167075,12167074,17288145,16327664,16327665,22501957,22492974,22492973,29857245,23566202,23566203,22390732,22390733,22481642,16310273,11348053,7540674,7540677,11348061,12206128,8238011,8238010,12206123,17331147,22208744,22208743,22487201,23566256,17254895,12135096,8165152,8165151,12135090,17254886,17322542,23638191,22482119,21664236,15628597,10814883,10814887,7545294,4772176,4772177,7545301,11356565,16323760,22494835,29853940,22488664,16315840,11351518,7542547,4770820,2875926,1669394,1669395,2875928,4770824,7542556,11351533,16315866,16322348,11355650,7544777,7544776,11355648,16322344,22496255,255449864,15978152,15978153,22084181,29414392,23182795,16917577,16917578,16305125,16305126,22475289,29842383,22497195,16323151,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771529,4771530,254781713,8151391,5222602,3185935,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,16315614,11351397,11351400,16313164,16313161,22019877,15918445,15918442,15918109,11040239,7314629,7314630,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,10587430,6984213,6984212,10587425,15329065,21296055,21297301,15329972,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101863,28312220,31080673,31080672,29843399,22476493,16306050,16306051,22476495,22519404,29876378,254760670,37015813,37015814,29870816,28856643,28856642,29843621,31119085,23632357,17316351,267898230,29854843,38421930,48319049,38422624,29855976,29855977,29928191,29341857,28503485,28503484,29841901,29354593,22472978,16303327,11995664,11995665,15922940,11045750,7320551,5253962,5253961,8184373,8150875,8150879,11045693,15922826,22023845,29352957,22021611,15920369,11042715,7317252,7317253,11042717,15920373,22021616,28516151,28515966,21294804,21294803,254370836,29355242,28516043,22023794,267992680,254832489,5220868,5220867,8149186,12118084,17236067,23544168,31025316,267828732,31068744,23584499,17539909,12371393,12371394,11045653,11045654,11045757,15922950,17274640,12153981,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556143,11373837,12071600,12071604,17168369,17321403,16341683,11370432,11370434,12168276,12168278,16307192,16307190,22477879,16342280,12157717,12157715,12157703,12151367,8181572,8181573,5251233,5251229,7553985,11370540,16341837,17295561,16867034,11798689,7879896,5003663,5003665,5235449,5235447,3230726,3230725,5276663,8205470,12173276,17293953,12191689,8222096,5292312,5292311,8222091,12191681,11381901,7561932,7561933,11381904,16355386,11381874,7561921,7561919,11381868,8205317,5276569,3230679,1894649,1894651,3230687,5276580,4605467,2771668,2771666,4605459,7301026,11026793,15905348,22006279,16341823,16341824,17514081,15546510,15546511,21568786,22500494,16326276,11358347,11010908,8191608,8191607,7288981,7288980,11010756,15151664,15151666,21093783,22513187,22502808,16328575,16328574,16348867,15885103,11011624,11011623,11380841,7561161,4781109,4781111,7561169,7839862,7839861,11742445,9930228,6526172,4088948,4088946,6526120,6526063,6526068,9930061,254105080,9929270,9929269,12218699,12218698,17345330,18725828,18725827,25300287,33026216,35174596,31121722,29878941,29878940,23635011,17319176,17319178,23635013,22524687,22524686,23598814,17286280,17286279,20125871,23607373,17294692,254554374,9927086,9927087,8205614,5276740,3230765,1894692,1894693,3230772,5276753,7547923,4773608,4773610,7547943,8165100,8166725,6524937,6524938,9928220,14430768,9926528,9926527,14430762,20122373,23569427,17258118,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,15929876,15929873,11287410,11287411,15544812,10750973,7548997,4774161,2877557,2877554,4774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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7999714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7999714, s2 = 14187165, int(edited[s2]) = 0 s1 = 7999714, s2 = 14187165, d1 = 6, d2 = 6 Dl.O(d1) = 29954571,38519300,42048860,52392692,63883685,70534474,57833001,57833000,52065353,52065355,42047322,33099038,33099039,256637009,256637007,33099141,33099142,42047455,52391493,258054226,48750754,60145127,64248292,64248291,257781381,42048131,52392112,50227771,42046815,256121601,25364914,33098627,26265234,26265233,33098560,256636883,52390738,64246566,65758773,53701645,43219639,34131712,26265234,19545056,13995540,13995539,19545055,23090509,16836181,16836183,23090513,16928589,16928591,23196766,30617703,39214564,47980149,42211210,33249258,25498293,25498291,33249139,38141783,38141784,42211004,39214426,30617589,23196689,23196690,30617592,30617595,25498280,25498279,33249135,25498198,18892758,13463548,11997996,11997995,17085456,23353014,30776846,39378368,39217352,39217351,49143924,49306009,49306010,52571949,42211244,39109133,39109132,49038933,256328074,73189432,73189433,64446741,52571746,52571745,257448818,270324384,21606025,21606344,15577856,15577857,17651390,12480655,8451560,5459479,3356584,3356586,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475620,5599242,8613993,9141658,5982212,5982211,5982247,5982246,9141703,5982725,5982724,9142401,12455152,8423474,8423475,12455154,15614882,12438902,12438901,12439032,8407525,8407526,12439035,8408442,5425871,5425870,8408439,12440066,12460284,12436977,8408367,5425831,3335437,1961622,1120585,1120586,1961623,254405301,5442175,5442176,254856401,8407526,12439035,8408442,5425871,3345882,3345883,5440596,5440597,8428252,8439219,12469969,12455635,12455634,15316765,10578965,8440981,8440983,12446847,8415259,8415260,8415257,254857301,12449277,8417604,8417605,8444885,12474991,254302164,9562563,13931590,19466532,26167077,34008808,28273293,28273294,36768414,39435447,49186673,50232692,50232691,59087410,47688609,37767301,37149143,37149141,47038296,48874861,38955265,30369108,22967588,16731728,11689125,11689126,16731730,22967592,29205814,29205815,37767279,255810112,47688627,58139938,47688650,37767350,29205878,29205877,37767348,38955166,30369027,22967532,16731700,11689115,11689116,16731702,22967536,30369034,38955176,256837758,48874826,42611863,33587915,25792254,19147168,13671827,13671825,19147160,25792240,33587896,38461212,38461214,30369044,22967541,16731705,16731707,22967548,30369055,35120814,27033902,27033903,35120818,44498359,48362890,38461207,29904099,22548203,22548204,29904101,38461209,40536094,31838114,24318992,24318994,31838117,36838482,30368888,22967450,22967449,30368886,38460943,29904036,29904037,38461113,38461120,29904042,29904041,29903973,29903974,38461009,42611829,33587881,25792231,19147155,19147156,25792234,33587886,32456683,24819830,24819831,22548129,16371944,16371946,16371986,22548212,28396422,21176459,21176458,28396418,36893802,46772049,48362686,48362687,48362862,38461174,29904075,29904076,29904007,29904005,38461065,48362768,59746034,48362726,38461031,38461030,38461077,29904013,28965580,21683643,15644376,15644377,21683647,28965587,28634859,28634861,37149176,47038323,37203920,28680539,21431450,21431449,28634875,21395483,21395482,28634871,37149193,47038340,38461131,37203963,28680560,28680559,37203958,37203980,37203981,37204188,38460983,29903961,29903957,29903956,28680665,255830312,255403719,28680673,37204117,37203997,37128412,28616967,21380623,21380624,28616971,37128420,47015725,40536552,37204275,28680799,28680745,28680744,37204214,47100617,47100385,37203907,28680528,28680527,28680860,21431631,15437954,15437953,21431625,268614151,21075908,28280809,256207674,28021293,27020975,20129556,14437143,9931066,254143024,2446422,1414468,1414469,2446426,4089375,4089270,4089271,6526607,9930837,14436829,20129090,27019428,20128405,14436378,14436377,20128404,14436380,14436379,14436381,9930562,6526412,4089114,2446265,1414374,804710,456020,456019,804708,1414371,2446257,4089101,6526395,6526365,4089081,2446246,1414366,1414365,2446244,4089078,2446248,2446247,4089083,6526369,9930492,254976761,20128290,14436851,254690515,4089281,4089280,6526620,9930853,14436285,14436278,9930481,6526357,6526355,254976757,6526616,4089278,2446363,1414435,1414437,2446365,4089283,6526622,9930855,14436275,14436847,14436848,20129141,256221231,27020489,20130237,20130236,27021879,35107801,44481252,44481255,44481254,44484818,55330863,55328941,44484819,35107797,27021876,27021877,35107799,35107795,27021874,20130233,14437645,14437644,20128389,20128388,27019418,27020142,20128900,20128899,27020140,35105660,44482368,55328420,57696454,257312429,44484164,55330211,52785344,52092193,41778955,32858386,256622593,256746596,52785337,42386152,42386153,52785339,64699129,77888201,81133531,67666868,55327032,55327033,67666869,77418135,64268180,60474514,49071405,39141387,39141386,257589315,73220854,73220881,60474539,49071427,49071428,258197245,259444625,77418133,64268179,52412931,42069197,33120144,33120143,42069195,42069199,42069198,52412933,60474512,60474511,73220852,86833317,77418129,77418130,77418139,85021745,270299099,58719134,47330668,37422402,28880425,28880426,37422404,47330672,58719140,71449644,73220873,73220875,73384158,60637924,49237212,39310427,30712746,30712748,39310431,49237217,49237176,49237175,49071445,39141412,39141413,49071447,49071448,60474568,73220914,73220919,60637923,60637922,60474517,49237178,49237179,256122324,73384107,73384100,60637863,60637862,73384099,86999367,73384097,73384098,73384141,73384140,86999400,73384138,73384137,86999398,86999402,100992284,100992285,86999406,86999407,88020068,88020067,84868778,84868777,255659394,73384131,60637899,49237188,49237189,60637901,73384135,86999395,73537823,60790707,49390077,39461722,254639868,23425668,30856969,23955818,23955817,28456606,28456605,36956962,28456601,21230415,21230416,28456604,36956967,40128235,31448472,23955975,17608977,17608978,23955977,31448474,31448467,23955972,23955973,31448469,40128232,50149749,50149750,40128253,31448494,23956000,23956001,23956019,31448485,31448486,31448483,23955983,17608981,17608982,23955985,17609001,12429539,8400705,5421008,3332511,1959950,1959949,3332510,5421007,8400704,12429537,17609000,23956009,31448502,31448460,23955967,17608973,12429523,8400697,255181709,23955948,17608960,12429513,8400693,8400694,12429514,17608961,23955950,31448444,40128207,40128205,40128204,40128414,40128408,31448672,23956198,17609168,12429678,12429672,8400828,8400829,12429673,17609162,256024329,23955799,17608823,12429393,8400605,5420945,3332459,1959898,1119590,628273,349015,191357,104489,104488,191356,349013,348945,348946,348924,191299,104439,57411,57410,104437,104423,254072621,18575,18576,32299,57407,104414,191265,348886,191407,104523,57466,57465,104508,57453,32326,32327,57454,104498,104497,267740701,628153,628154,348944,191309,104457,104456,191307,191331,191330,191266,104448,57420,57418,57414,57415,254080449,32319,32318,57436,57423,32308,18580,18581,18592,32328,57455,104511,104431,104430,191290,348914,349098,349099,628110,254135693,348930,348931,628167,1119552,628198,348969,348968,349059,191386,191387,349060,628326,628181,348958,191319,191320,348960,628186,1119574,1119586,628418,349106,191409,191410,349109,348965,191322,191321,348963,628190,1119580,1959889,3332446,5420936,8400590,12428222,12428223,8399920,5420536,5420535,3332195,3332196,1959886,1959884,3332443,254597597,12429381,268113551,12429339,12429340,17608756,17608757,254949105,9535254,13895751,19422122,26115387,33952232,43009066,50150040,42444764,33451831,25680528,19057873,13605194,9316217,6118039,3827896,3827895,6111080,3823686,3823688,6111087,9329258,9302314,9302312,13585575,17542036,12373039,12373038,9289869,6085564,3807757,3807759,6085570,6118397,3828112,2293470,2293469,3828109,6113738,9333697,13630906,14330786,19107336,19107337,21820255,29127152,30227225,22835620,16614451,16614452,19114152,13646590,9344610,6120700,6120701,9344613,13646591,19003967,13562824,9286001,6083054,3806289,2280029,2280028,3806287,6083051,9285994,13562817,17900215,12680115,12680116,14330747,17329153,12204123,12204122,17329147,14330768,9844496,6465673,6465671,9844492,14330763,17827576,12622897,12622896,17827596,19087628,19102829,13638941,13638942,18060379,18060381,19050807,13599814,9312361,9312362,13599819,13654768,13654766,18993374,13553844,9279008,9279006,13553839,18993366,16988048,11902879,11902878,16988044,23250909,18997500,18997501,19066094,19066095,25338560,25134467,21597469,21597470,25620763,19006484,17874312,17874311,13565103,13565102,16268683,11502702,11502700,9316807,6103137,6103136,9316802,13606189,19031521,13584526,13584527,19031526,19105520,25601248,22432175,22432173,27213909,22413301,17253135,17253054,17253053,23035786,19011133,254930873,6085555,3807750,3807751,6085557,9289803,13568331,19011014,24247890,25624909,28709355,37240120,47145438,48610976,43190369,38695371,31448831,31448830,31448833,40128561,50150039,61632563,60002257,60002256,72738962,86336173,72738972,72738971,72738978,61632562,50150036,50150037,57866648,65759167,53702080,53702079,65759165,79115394,79115393,79115397,79115396,79115398,79115395,65759158,53702070,43190373,43190374,53702072,59693724,59693723,55329503,44483373,44483374,48306750,38396056,36643119,28167996,20987871,20987870,28167994,36643117,43190385,43190384,34104631,34104630,29823702,254892772,13976781,9598793,6302787,3949472,2364983,254309587,6302788,9598794,13976782,15075062,10397870,6854183,4301485,2571742,1480580,1480581,267822365,6772124,4244615,2537828,2537830,4244616,6772128,9088626,6822374,4279852,2558867,1473834,254118111,264177,146249,146246,264170,469916,254155847,2558790,4279736,6822216,6822233,267822019,2558795,4279743,6822228,10358208,15030395,20938620,28115563,36588350,44521677,35145215,35145214,44521676,36484221,36484222,46340724,57688264,49252217,39326053,30728358,30728359,39326055,31058525,255416564,12142920,12142921,16325298,255915943,38426011,48331935,59717276,72453473,77285462,269981636,52284319,41943729,33001779,25276766,18704232,18704231,25276765,23295371,17035643,11949923,11949925,8471005,5475637,5475633,8471014,12504961,17682180,14020469,14020468,14536324,10001566,6572719,4117221,254475185,10001586,14536358,20260229,27182867,27182831,20260191,15599985,10791812,10791813,15006309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Dl.O(d2) = 29954571,38519300,42048860,52392692,63883685,70534474,57833001,57833000,52065353,52065355,42047322,33099038,33099039,256637009,256637007,33099141,33099142,42047455,52391493,258054226,48750754,60145127,64248292,64248291,257781381,42048131,52392112,50227771,42046815,256121601,25364914,33098627,26265234,26265233,33098560,256636883,52390738,64246566,65758773,53701645,43219639,34131712,26265234,19545056,13995540,13995539,19545055,23090509,16836181,16836183,23090513,16928589,16928591,23196766,30617703,39214564,47980149,42211210,33249258,25498293,25498291,33249139,38141783,38141784,42211004,39214426,30617589,23196689,23196690,30617592,30617595,25498280,25498279,33249135,25498198,18892758,13463548,11997996,11997995,17085456,23353014,30776846,39378368,39217352,39217351,49143924,49306009,49306010,52571949,42211244,39109133,39109132,49038933,256328074,73189432,73189433,64446741,52571746,52571745,257448818,270324384,21606025,21606344,15577856,15577857,17651390,12480655,8451560,5459479,3356584,3356586,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475620,5599242,8613993,9141658,5982212,5982211,5982247,5982246,9141703,5982725,5982724,9142401,12455152,8423474,8423475,12455154,15614882,12438902,12438901,12439032,8407525,8407526,12439035,8408442,5425871,5425870,8408439,12440066,12460284,12436977,8408367,5425831,3335437,1961622,1120585,1120586,1961623,254405301,5442175,5442176,254856401,8407526,12439035,8408442,5425871,3345882,3345883,5440596,5440597,8428252,8439219,12469969,12455635,12455634,15316765,10578965,8440981,8440983,12446847,8415259,8415260,8415257,254857301,12449277,8417604,8417605,8444885,12474991,254302164,9562563,13931590,19466532,26167077,34008808,28273293,28273294,36768414,39435447,49186673,50232692,50232691,59087410,47688609,37767301,37149143,37149141,47038296,48874861,38955265,30369108,22967588,16731728,11689125,11689126,16731730,22967592,29205814,29205815,37767279,255810112,47688627,58139938,47688650,37767350,29205878,29205877,37767348,38955166,30369027,22967532,16731700,11689115,11689116,16731702,22967536,30369034,38955176,256837758,48874826,42611863,33587915,25792254,19147168,13671827,13671825,19147160,25792240,33587896,38461212,38461214,30369044,22967541,16731705,16731707,22967548,30369055,35120814,27033902,27033903,35120818,44498359,48362890,38461207,29904099,22548203,22548204,29904101,38461209,40536094,31838114,24318992,24318994,31838117,36838482,30368888,22967450,22967449,30368886,38460943,29904036,29904037,38461113,38461120,29904042,29904041,29903973,29903974,38461009,42611829,33587881,25792231,19147155,19147156,25792234,33587886,32456683,24819830,24819831,22548129,16371944,16371946,16371986,22548212,28396422,21176459,21176458,28396418,36893802,46772049,48362686,48362687,48362862,38461174,29904075,29904076,29904007,29904005,38461065,48362768,59746034,48362726,38461031,38461030,38461077,29904013,28965580,21683643,15644376,15644377,21683647,28965587,28634859,28634861,37149176,47038323,37203920,28680539,21431450,21431449,28634875,21395483,21395482,28634871,37149193,47038340,38461131,37203963,28680560,28680559,37203958,37203980,37203981,37204188,38460983,29903961,29903957,29903956,28680665,255830312,255403719,28680673,37204117,37203997,37128412,28616967,21380623,21380624,28616971,37128420,47015725,40536552,37204275,28680799,28680745,28680744,37204214,47100617,47100385,37203907,28680528,28680527,28680860,21431631,15437954,15437953,21431625,268614151,21075908,28280809,256207674,28021293,27020975,20129556,14437143,9931066,254143024,2446422,1414468,1414469,2446426,4089375,4089270,4089271,6526607,9930837,14436829,20129090,27019428,20128405,14436378,14436377,20128404,14436380,14436379,14436381,9930562,6526412,4089114,2446265,1414374,804710,456020,456019,804708,1414371,2446257,4089101,6526395,6526365,4089081,2446246,1414366,1414365,2446244,4089078,2446248,2446247,4089083,6526369,9930492,254976761,20128290,14436851,254690515,4089281,4089280,6526620,9930853,14436285,14436278,9930481,6526357,6526355,254976757,6526616,4089278,2446363,1414435,1414437,2446365,4089283,6526622,9930855,14436275,14436847,14436848,20129141,256221231,27020489,20130237,20130236,27021879,35107801,44481252,44481255,44481254,44484818,55330863,55328941,44484819,35107797,27021876,27021877,35107799,35107795,27021874,20130233,14437645,14437644,20128389,20128388,27019418,27020142,20128900,20128899,27020140,35105660,44482368,55328420,57696454,257312429,44484164,55330211,52785344,52092193,41778955,32858386,256622593,256746596,52785337,42386152,42386153,52785339,64699129,77888201,81133531,67666868,55327032,55327033,67666869,77418135,64268180,60474514,49071405,39141387,39141386,257589315,73220854,73220881,60474539,49071427,49071428,258197245,259444625,77418133,64268179,52412931,42069197,33120144,33120143,42069195,42069199,42069198,52412933,60474512,60474511,73220852,86833317,77418129,77418130,77418139,85021745,270299099,58719134,47330668,37422402,28880425,28880426,37422404,47330672,58719140,71449644,73220873,73220875,73384158,60637924,492372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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7999714, s2 = 14187165, dlinesl.size( ) = 2 s1 = 7999714, s2 = 14187165, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7999714, Dl.E( ) = 8, 1.81e-05 seconds used appending s1 = 14162978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162978, s2 = 15339059, int(edited[s2]) = 0 s1 = 14162978, s2 = 15339059, d1 = 42, d2 = 15 Dl.O(d1) = 33159996,25418899,18827037,13413811,9171416,6002798,3753995,2248069,1304000,744024,422609,238472,238471,346298,623084,743965,743963,744613,744751,423029,423028,744747,1110244,1110284,623119,623120,267772003,3303586,3302421,1942403,1109563,1109564,1109549,1109548,622743,622742,1109660,1942530,3302545,3769777,3769776,5867729,3664313,2192988,1273419,727942,727943,1273423,2192107,1398480,1398478,2194813,2194811,2257558,1419524,1306347,1306345,2251235,2189824,267779485,1310253,2242186,1300226,802915,802916,1396137,794262,449991,449990,793786,449562,449563,728475,1274007,743920,743919,1303835,267782355,793940,449700,253111,139822,139823,267742571,726916,413492,413491,726914,452118,254746,140994,254083749,240662,133161,133156,240655,426110,259723,259724,460484,812477,1275968,812468,460471,259714,259713,256750,142231,77979,77982,141027,77209,42028,42027,77206,43044,23855,13299,7332,7333,13301,23858,43051,41653,22979,22980,41658,71034,38438,21153 Dl.O(d2) = 273055154,173473479,162430923,269189782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162978, s2 = 15339059, dlinesl.size( ) = 14 s1 = 785413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 785685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 787134, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 787353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7566956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179121, s2 = 14165235, int(edited[s2]) = 0 s1 = 13179121, s2 = 14165235, d1 = 28, d2 = 31 Dl.O(d1) = 137494129,261311436,134619472,134619471,137494147,147749957,134619475,120822637,106574453,92276191,92276190,106574451,120822633,134619473,147749954,160013118,171249366,176590397,261278126,147749960,134619483,120822650,260900247,120822672,120822673,120822625,120822626,123517239,123517237,109325936,109325937,259492336,106574506,106574505,93514501,93514502,259492332,136361856,122377750,257053736,92470756,92470755,106776548,112783116,126641410,134828423,257636328,256002380,65152712,53168368,255163876,78434589,87736647,101710859,101710843,87736626,74130786,74130788,87736629,84862127,257636342,65110590,53124786,42673899,33644595,256673687,37260796,47166647,58555605,71287655,258685965,77965892,64770999,52851177,269089955,42446864,42454806,33461861,25689794,25689792,33461859,42454803,52858694,64778276,64748855,64748856,77943108,91868049,91890696,91890697,106085853,91962868,91962867,106161200,120363955,121050775,271999937,93232759,91962836,78035515,64838194,64838192,78035513,77965874,64770980,64770978,52858718,52858717,64778295,64778268,64734343,258428838,64838243,64838171,64838170,53702584,43190873,257852921,65759650,53702579,53702580,65759651,78035551,257812880,52913529,53702598,43190886,43190887,52851161,257809357,77965872,64838229,64838203,64838202,77972822,64778287,52858707,42454821,33461869,33461870,256662347,25689798,255275681,9320154,6105258,6105259,255275683,19008541,13566463,9288652,9288653,255272209,9320157,6105260,3820010,2288585,1327781,757993,757992,1327779,2288583,267862759,9320149,13611144,13633375,9335556,254451309,2292212,254451307,9335555,13633374,19059079,13606012,9316682,6103032,3818630,2287731,1327222,757657,430689,243104,134379,73043,73039,73245,39684,39686,73255,254082917,268152878,254303719,6095397,254302653,2284369,3807409,3807410,6084900,9288635,13566423,13566424,254930750,14515182,20227851,27133920,35227960 Dl.O(d2) = 14515213,9987940,6564555,4112499,4112500,267948607,14515220,20227898,27133830,25623139,20227885,20227886,27133796,27133795,35227944,31061698,31061697,27133808,27133806,256230945,20227891,20227890,27133966,20227894,14515216,9987941,9987942,14515218,19008517,19008518,20227755,27133811,33388730,25623062,19008502,19008501,19839063,17266483,17266484,23578188,30292155,22893807,22893808,16978528,12634841,12634842,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416531,9758767,14195971,19818161,24216343,31723464,37256621,37256622,47161937,38509233,30598222,23179333,23179334,23394797,23394796,30822761,26632553,19821223,19821222,22780266,22780265,19658091,14090734,9691717,6374640,3999861,2397096,2397095,3999858,6374633,9691703,14090709,10703561,10703560,15478261,19819788,19655730,16430640,12637305,12637304,12031490,8088491,5182233,5182231,8088485,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661486,22647019,23179746,23388359,19655859,19655858,14213079,14213080,17747423,17747425,14084410,14084411,14093042,254442992,23775281,23775280,30820559,23391888,23181132,17123724,12033714,8089908,5182996,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838680,11111454,10775690,10775688,10465920,10246930,10246932,14903273,20795993,27957517,36415608,256418762,50450406,61919927,269349038,77879912,64690339,52776308,42377413,33388741,25623069,25623068,27133984,27133988,25623133,20227792,14515143,14515142,255754749,35227987,39739470,39739469,271346606,259484735,74017637,258860431,260100051,261092378,122936465,108672436,94385962,80331743,66905101,54648493,54648495,66905105,80331750,86299646,72702492,59965106,59965093,269823873,67689520,59664247,48276418,48276419,258140817,85996487,260145763,130194777,133631647,128892270,114990433,100936461,86953055,73341721,60596893,49196281,39270148,30673882,30673883,39270152,49196286,60596902,61675518,50191709,40167472,31482640,31482639,39270147,30673881,23257846,255140227,11909151,16994747,23257849,30673886,39270156,49196293,60596911,64250180,77400084,91318685,105536324,119769321,128892292,114990466,100936493,100936494,100936496,114990469,128892294,129917406,129917405,143248546,132232951,118417218,118417217,132232950,143248551,155799684,152579611,139869446,126503018,112637954,98641352,84711249,84711251,98641356,92521973,78482203,78482202,84711255,71141596,58419987,47045152,37154447,28638854,28638853,37154446,47045151,53209944,53209945,43188838,34103164,26239676,19522366,13975157,13975158,13765851,9435368,6183962,3869898,2317814,1343956,1300002,1300003,779943,779942,1369918,1369768,1369771,2365959,3951107,6305037,9476153,8323254,5370712,5370709,6309428,9606340,255301159,21338168,26901286,20018916,20018915,26901283,34980834,44358356,35312111,35312112,44731452,257928581,81499405,81022440,67552712,67552711,81022439,95081701,257789038,84593074,258404112,84593070,71028538,71028539,81022450,77554267,77554266,91485171,84593072,84593073,98518501,259031288,120149693,105937771,105937770,270814794,104423303,90272219,90272220,76442095,268922970,51654756,63398165,76442094,81255550,81255551,81255556,268922966,55442545,256333432,55442536,67786114,81255543,269317858,81255567,67786139,55442556,44592329,35211614,35211613,44592327,55442553,67786137,59883446,48491698,48491699,52720454,58739008,58739009,64620619,257068064,77803031,64620613,58168380,58168382,58168407,58168408,258197316,70882563,70882562,79131962,79131961,86888639,73277351,258123382,58168364,58168363,61535128,268664676,40036520,257031582,74312353,86888635,100868793,114919227,128816437,120927559,120927558,134725681,139568873,260505821,98349700,98349701,112332944,126193658,260189091,89309339,75553956,75553955,89309338,103398522,117522997,131318648,117523034,103398548,103398549,117523036,131318698,131318646,117522995,117522994,131318644,144539629,156937694,166470279,154764395,154177907,154177908,165937443,262294343,142131540,142131539,136341981,122357101,261526529,154177882,141514144,128155288,128155289,114270725,100238839,86273857,86273856,100238845,107930236,107930237,122357098,116565734,102466647,88462832,74829342,62032894,257105123,40505909,50541292,62032897,74829345,258214134,74829343,258920239,102466651,115007473,115007474,128909824,115007489,115007490,128909842,128909836,128909837,142261639,154895615,163591308,151712561,151712560,163591305,262357576,163591304,151712559,151712558,163591302,160034077,147770477,134639898,134639897,134639923,120842626,106594315,106594316,120842628,134639928,147770513,263208409,190120998,262953783,160034091,147770486,147770487,160034092,171270299,181306602,190121001,190121000,190120999,181306631,171270321,273246841,190121031,189102904,262210778,158624703,146250384,133016360,119181445,119181446,133016362,146250389,158624711,169987303,164126871,152240233,152240234,164126874,164126875,152240235,139509134,126134387,126134389,261631703,152240251,164126899,174947884,174947869,164126892,152240245,139509139,126134391,112275266,260500809,261631705,164126883,174947858,273316956,180157764,169987307,158624715,158624716,169987309,169987399,158624792,146250448,146250416,258629904,104986551,90808783,81628857,68138753,55740846,55740847,256278480,46415353,57768875,70467818,84001030,84566236,71002248,71002247,84566235,81628854,68138751,68138752,81628855,95662206,109866137,95662219,95662198,81628850,81628848,95662194,109866127,124005235,125615719,138953912,151658737,163540565,152240155,139509077,126134359,112275251,98293810,84385148,258102764,46742724,46742723,58112619,70827648,84385160,98293828,112275272,112275271,107657423,107657424,120155918,120155917,260569950,260500811,120155922,120155921,133997223,147219095,152240265,139509152,139509151,145053901,133997225,259593194,91736154,77808419,64625862,64625863,77808421,91736158,105943668,117965404,117965403,103818054,103818053,107061904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179121, s2 = 14165235, dlinesl.size( ) = 26 s1 = 788874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13186877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 267422, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 791266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1230346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13241823, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1391534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9692630, s2 = 9456437, int(edited[s2]) = 0 s1 = 9692630, s2 = 9456437, d1 = 1, d2 = 1 Dl.O(d1) = 50422763,61912935,74706252,88333837,98668933,84739993,84739994,89812600,76034922,63051456,51370092,256609840,58370107,71086656,78479996,78479998,92519769,106831213,106831211,112566247,98572588,84649374,84649375,84740014,71170481,71170480,71086641,71086640,65195633,53209901,42760201,33730300,25923333,25923332,33730297,42760194,53209887,60790753,65195628,53209896,53209895,65195627,78480000,92519769,268157932,10829846,7158703,4508682,2709239,2709242,2263063,1313025,1313022,2263121,2263093,2263094,2262773,2262774,2263990,2263993,3779715,6041566,9225247,268145891,25524029,33284170,32867917,32867918,41788947,37510708,28967362,25514645,18904583,18159697,18159698,24608515,24977280,18899932,255294776,8820039,5746491,5746489,6029756,6029755,9210236,13468211,257204581,64534236,256815728,105849844,120062372,133905911,147130626,260476176,173756947,162755736,261572035,123980234,259809229,81604250,270854082,35387884,27262500,20328210,14588892,10038553,10038555,14588897,20328216,22347052,20328208,20328209,27262499,35387881,44812506,44812507,257933747,81604246,68115549,68115550,81604248,259809227,100587410,86622540,73022522,73022521,86622538,85829678,85197853,71633063,58912506,52808822,42408734,42408735,52808824,52808825,64722452,74968931,62157316,62157312,62157313,74968929,88611051,260166929,130548032,143866081,156382187,167954194,178374444,187570784,263999527,208172786,212916181,216794530,220008650,220008648,265261249,225053179,227077737,228845022,230401723,231784975,231784976,232049151,230703434,229193266,227484569,265480911,220684691,220684690,217629313,213967570,264365941,197552690,189900006,263356495,262483519,147228813,260884327,91784561,77861911,257804037,33368207,25603602,18991214,13551901,9277452,9277451,13551900,256139965,42357120,52756660,52335118,41995927,41995926,52335116,64185345,77332448,258895648,70557596,70557595,258273040,111904824,97967596,84093964,70557594,70557593,84093963,97967594,85232914,257389184,58946427,47563617,37657486,29107672,29107673,32359230,24742935,24742934,32359229,255055970,36474242,36474243,46329659,57676445,57676443,57676444,70368087,83892614,97749383,111668329,111668330,111668331,125469677,114321452,100290849,86328493,72730744,59993345,48601469,38685393,38685392,48601467,255358924,39490134,49385331,60786053,73533500,87152064,101149921,87152063,73533498,73533499,85039877,98964884,106831228,92519784,259702645,121090623,134892152,126808193,126808194,261650112,261098648,98572587,84649371,71086647,58370101,46999661,37113818,37113819,46999664 Dl.O(d2) = 50422763,61912935,74706252,88333837,98668933,84739993,84739994,89812600,76034922,63051456,51370092,256609840,58370107,71086656,78479996,78479998,92519769,106831213,106831211,112566247,98572588,84649374,84649375,84740014,71170481,71170480,71086641,71086640,65195633,53209901,42760201,33730300,25923333,25923332,33730297,42760194,53209887,60790753,65195628,53209896,53209895,65195627,78480000,92519769,268157932,10829846,7158703,4508682,2709239,2709242,2263063,1313025,1313022,2263121,2263093,2263094,2262773,2262774,2263990,2263993,3779715,6041566,9225247,268145891,25524029,33284170,32867917,32867918,41788947,37510708,28967362,25514645,18904583,18159697,18159698,24608515,24977280,18899932,255294776,8820039,5746491,5746489,6029756,6029755,9210236,13468211,257204581,64534236,256815728,105849844,120062372,133905911,147130626,260476176,173756947,162755736,261572035,123980234,259809229,81604250,270854082,35387884,27262500,20328210,14588892,10038553,10038555,14588897,20328216,22347052,20328208,20328209,27262499,35387881,44812506,44812507,257933747,81604246,68115549,68115550,81604248,259809227,100587410,86622540,73022522,73022521,86622538,85829678,85197853,71633063,58912506,52808822,42408734,42408735,52808824,52808825,64722452,74968931,62157316,62157312,62157313,74968929,88611051,260166929,130548032,143866081,156382187,167954194,178374444,187570784,263999527,208172786,212916181,216794530,220008650,220008648,265261249,225053179,227077737,228845022,230401723,231784975,231784976,232049151,230703434,229193266,227484569,265480911,220684691,220684690,217629313,213967570,264365941,197552690,189900006,263356495,262483519,147228813,260884327,91784561,77861911,257804037,33368207,25603602,18991214,13551901,9277452,9277451,13551900,256139965,42357120,52756660,52335118,41995927,41995926,52335116,64185345,77332448,258895648,70557596,70557595,258273040,111904824,97967596,84093964,70557594,70557593,84093963,97967594,85232914,257389184,58946427,47563617,37657486,29107672,29107673,32359230,24742935,24742934,32359229,255055970,36474242,36474243,46329659,57676445,57676443,57676444,70368087,83892614,97749383,111668329,111668330,111668331,125469677,114321452,100290849,86328493,72730744,59993345,48601469,38685393,38685392,48601467,255358924,39490134,49385331,60786053,73533500,87152064,101149921,87152063,73533498,73533499,85039877,98964884,106831228,92519784,259702645,121090623,134892152,126808193,126808194,261650112,261098648,98572587,84649371,71086647,58370101,46999661,37113818,37113819,46999664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9692630, s2 = 9456437, dlinesl.size( ) = 2 s1 = 9692630, s2 = 9456437, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9692630, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8423436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8423436, s2 = 14166325, int(edited[s2]) = 0 s1 = 8423436, s2 = 14166325, d1 = 9, d2 = 9 Dl.O(d1) = 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Dl.O(d2) = 274759298,237087055,236255224,235343638,266371274,234343688,233244683,265917458,229170234,227457877,225500251,223250291,220648478,217589906,213925291,209461695,204022077,197502402,189845291,180965119,170843729,159513536,147152501,147152502,133928381,120084822,120084820,105871591,105871592,91663089,257763386,256619764,33287124,33287125,33287131,42267169,33287130,25526795,255643696,33286957,33287127,42267166,257174208,52044678,41729782,32809316,32809315,41729780,51785011,51064381,51064380,51064375,51064376,58835576,58835573,47449383,37541440,37541439,47449381,58835570,58379162,258049239,62693669,51064390,51064391,62693671,72857977,61768601,61768600,74552445,61768585,50288804,50288796,50288797,256636348,58207180,58207181,70924530,77021354,71903210,70924540,58207189,58207188,70924537,59714455,59714454,72451088,86049813,100013097,91311197,91311196,105529125,119186039,104991225,90813734,76937844,63830485,52015408,41704979,41704980,52015413,63830492,76937851,89303938,90813731,84251567,70699851,57982145,57982144,60243212,60243213,72979231,78348058,78348057,72979264,60243242,60243241,72979262,86576578,74631971,74631970,74241267,72979226,60243204,269832547,86576641,72979255,60243234,48849715,38929706,255951371,22942359,30343601,38929711,48849721,38929721,38929722,48849741,60243258,268962912,59232990,64252136,77402055,71970571,71970570,85557831,87846209,258184036,64440238,73605320,87227348,91538102,77608669,64440289,52565017,42204547,33242983,33242984,42204550,33243032,25492712,18888186,18888184,25492688,18888166,13460230,13460229,18888159,25492678,33242971,269027262,32341882,32341851,32341850,41156648,33242986,33242987,42204554,50348476,50348480,58030383,58030382,60565287,60565286,66844991,270026378,64440367,77608739,65966105,53899883,43376053,34277081,34277080,43376049,269204721,65966124,55224139,44373238,34994884,26913423,20028962,14345921,14345920,15512464,255842131,21524802,15512682,10728518,7088323,7088322,9856759,9856761,14346590,20029677,26914124,28788502,21524490,15512404,10728322,10523914,7088214,4462860,2681146,1553125,883058,883059,1553128,1553155,2681191,4462889,4462890,7088275,10728433,15512573,21524668,28788379,26681615,26681614,21524600,15512517,10728413,7088264,7088265,10728419,15512552,21524397,21524396,21524412,28788418,21524818,21524810,15512688,15512689,13485999,9226702,9226704,13486004,15512635,15512634,21524745,26914117,28788650,28788497,21524483,15512394,10728594,10523919,6940650,4361824,4361823,2681188,1553151,883070,498303,498304,883076,1553161,2681199,4462958,7088280,10728445,11581105,7708545,4878538,4878539,7708544,11581103,14596107,14596106,20337960,255115748,44826604,48290994,48290995,42834993,33799192,33799193,42835002,38380910,29808842,29808841,38380904,30868821,23440576,23440578,29808504,22441926,16273697,16273696,16273680,16273679,254574900,22442183,16273868,11315963,11315964,16273870,22442186,29808856,30868804,30868803,39472211,255151684,29808474,29808473,29808874,24862196,18365374,18365373,256088903,41351074,48291174,38380480,29808517,29808516,38380476,48291160,38380469,38380435,38380436,38380488,29808524,29808522,22442239,22442240,22442179,22442180,29808849,29808853,29808854,38380920,48291619,59678605,256488374,39472254,30868832,23440582,23440584,30868841,39472262,49400783,59678067,51572481,51572480,47113042,37216009,37216010,47113047,51325129,41140681,41140680,41859284,41859280,52184733,64019077,72413331,72413332,78430466,65148439,53164004,53164005,55624588,68012057,72413240,70849697,58135356,58135357,60801523,59678093,49400807,39472283,39472281,48326239,48326240,39472352,39472351,39472303,39472302,49400834,49400744,49400743,60801377,49400752,39472239,30868824,30868826,39472246,49400761,60801276,60801277,72413822,72413824,73548436,60801436,58491074,58491075,60801460,49400819,39472290,39472288,49400814,59678214,60801508,49400870,49400869,60801504,73548494,84781905,71212865,58491083,58491082,71212861,84781899,72449851,72413369,59678097,48291134,38380447,38380448,48291138,59678102,72413374,78430461,78430460,268723616,75987865,64019083,64019082,77151191,271023189,114325874,258356806,99969327,86009899,86009900,99969329,257614476,99969311,99969310,257614472,72736082,72736081,71212836,58491051,58491053,71212838,84781881,86009914,81062500,73548489,60801501,60801503,73548492,73548507,72736116,72736117,86333525,100295539,99780012,95330066,95330065,109585306,123775650,114325873,114325872,270283930,98465151,84543063,70979691,70979692,84543065,84781861,71212822,58491036,58491027,58491028,71212810,84781854,98710135,95330076,258677458,98710139,91267738,77347619,77347620,270291054,256863530,255832636,28691123,21440345,21440344,28691121,37215990,47113006,58491026,67803307,58263990,46897089,46897090,55461721,61469408,59140958,47742261,269313036,58491035,47113011,47113010,58491032,55461775,257025350,71879294,59140976,47742271,37819857,29254496,29254497,37819861,47742277,41663511,257064672,63786688,76896507,67803243,55461717,55461716,67803240,81270855,76896500,74472345,61689640,61689639,71496255,58766564,57803630,46447844,36582284,36582285,37819848,37819849,47742256,59140955,67803266,67803260,61890826,50400280,40364974,31670261,31670260,35232054,44613310,55461886,67803423,72413981,81270868,95330021,270555386,59678795,270326431,74472333,61689625,50207489,40185129,40185128,50207486,61689620,258878650,257647306,50400278,257677329,74684406,67803433,55461895,55461894,67803430,81270964,81271043,77347633,259647011,259156114,258213324,61689616,50207484,50207483,61689613,72465920,86063916,95330095,81271040,257605790,256971374,35232124,44613413,55462003,59678757,48291760,257533063,59678763,59730549,59730548,55462012,44613418,35232127,27137420,27137421,35232129,44613422,55462016,55461791,44613230,44613229,55461787,67803342,71516212,58786123,47398052,47398053,48346729,59730535,59730547,72465958,86009971,72465927,257064710,38444654,38444653,48346657,55461808,44613243,44613244,41663518,32752355,32752356,41663524,51971443,55461800,44613239,35232009,27137355,27137354,27137403,35232098,44613376,42252819,42252818,48346692,44613154,35231963,27137325,20230558,20230557,27137320,35231951,44613136,55461659,61562512,61562513,269397522,81271015,258131422,44613369,257064668,55462008,55462007,48876066,47398065,47398064,57800211,48291924,44613119,44613120,55461638,63786765,51971500,48346716,48346715,40060676,256019221,23881251,31378015,40060680,50082166,59730472,254848696,36996620,36996619,29888626,29808308,22441763,22441762,256013422,256019238,256019242,33601764,25804500,19157722,13679946,13679950,19157725,23308382,23308381,28970324,21688497,21688498,28970326,32131645,40909311,38058506,29495301,255426874,7385180,11134073,16035497,22156332,29495309,29494093,22155085,16034535,16034534,22155082,20044888,14359738,9867140,6481815,6481816,9867143,14359742,20044896,26930587,30440154,38154200,38154201,37425848,37425846,47334232,47970406,44394907,44394908,48951543,44385255,44385254,39029619,30828729,29129524,29129523,30057523,23271233,21588401,15562818,10764429,10764430,15562821,21404954,21404956,17590125,17590124,22093185,21994506,21994502,29323798,31080542,31080541,39758285,39321908,30723882,23306256,17045170,11957657,8004765,8004764,11957656,254631096,28207427,254431642,52347771,64198049,65887044,256545814,34196371,42003049,52342009,64192092,67189289,54869615,256731997,26732583,19897914,14254061,9797414,6440387,4039710,4039711,6440390,8626718,6073615,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,3834654,3834641,3834550,2297321,2297320,2297330,3834571,6128885,9328174,9360206,12303991,8310413,8310412,9362463,9362462,7993574,5088310,3087371,1802822,1802823,3087377,254565211,11942827,17027747,23286794,29167602,29167601,25788279,19143437,13668871,13668870,19143435,25788274,30702409,23286713,17027667,11942751,7993556,5088301,267901333,11942748,17027663,23286711,19143430,13668868,13668869,19143432,25788273,30702367,23286663,19149224,13673561,13673560,19143406,19143405,25788237,33583978,33588430,25792738,19147562,13672145,13672146,19147566,25792744,33588435,39299905,30702443,30702442,33504729,25788233,19143403,13668848,9360232,6130978,6130979,9360235,13668859,15247759,10518936,10518938,15247764,21216071,23286693,17027653,11942744,11942745,17027657,23286699,29474667,38037441,38037442,33584011,33584010,33583941,33583942,42333823,42608001,33590529,25794615,25591832,18982391,18982392,18982383,18982384,21858422,29167614,22138000,22138002,29167621,21858429,21858430,17027644,11942740,11942739,17027641,23286674,29167625,29167626,25591749,19143396,19143397,13668854,13668855,19143416,21216056,15247753,15247754,20240962,14524232,14524233,20240967,27151633,30702398,30702397,29474656,22138022,22138023,29474659,38037445,42608008,33583997,33583998,33583983,25788239,19143407,19143408,25788242,33583987,33406056,33406055,33583957,33582879,33582880,42606862,52720962,52720961,42333870,42333869,256655440,33352376,29433564,22101251,22101250,25962072,25962071,20240989,14524246,9993754,6568053,6568052,9993746,14524225,20240934,22138088,22138087,25591816,25591817,25094739,25094738,18982410,13545567,9273149,9273114,6074195,3800553,3800554,6074200,9273124,13545523,18982334,18982448,13545597,13545596,12547597,12547596,9273219,6074244,3800579,2276476,1320149,1320148,2276471,3800571,6074232,9273197,13545668,13545528,9273125,9273127,13545534,18982354,18982561,19296514,13796245,13545619,13545620,18982497,24092000,25094671,18982605,13545685,13545684,17734246,12547563,12547564,17734250,24091931,19065238,13610760,13610761,19065240,25689252,33352284,25591755,18982324,18982323,18982592,25592096,24092020,24092019,24091939,17734261,12547569,12547568,17734257,13545711,9273224,9273225,13545633,13545634,13664681,19136959,25777923,25591766,18982336,18982338,24092046,31595536,25592062,25592061,33352420,25591904,18982438,18982439,25591909,24092066,17734415,12547658,8506920,5507400,3396060,3396059,5507395,8506911,12547644,17734388,24092107,18982458,18982456,25591932,31595701,31595372,31595374,25591914,18982630,13545697,12547608,8506884,5507384,3396056,3396055,5507379,8506871,12547584,17734286,12547662,12547663,17734427,24092167,18982483,18982482,25591963,31595422,31595423,25777928,25777929,31595397,31595396,40279647,31595549,24092055,17734344,17734345,17734353,17734352,17734378,12547637,8506903,5507392,5507391,8506900,9273165,13545607,18982470,19137020,25777993,31595708,24092182,24091907,17734230,12547554,12547552,17734225,18982626,18982625,25592126,25777989,255280393,13664708,17734234,24091917,31595389,25591952,18982475,18982477,25591955,255687768,40279721,40279720,50299942,50299941,61779251,61779259,61779256,61779340,257211595,33352423,255674275,18982440,256655433,52721001,49190104,49190105,49190101,42585837,33568934,25778914,25778916,33568078,33568077,42584991,33567964,33567965,42584994,42333814,33352313,25591784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8423436, s2 = 14166325, dlinesl.size( ) = 2 s1 = 8423436, s2 = 14166325, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8423436, Dl.E( ) = 10, 1.69e-05 seconds used appending s1 = 1392912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 570129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6585203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9335814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9160418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 795475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10157679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10157679, s2 = 804320, int(edited[s2]) = 0 s1 = 10157679, s2 = 804320, d1 = 59, d2 = 47 Dl.O(d1) = 25753462 Dl.O(d2) = 20935227 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8059224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8059224, s2 = 12602409, int(edited[s2]) = 0 s1 = 8059224, s2 = 12602409, d1 = 13, d2 = 11 Dl.O(d1) = 42295072,46679713,36886446,36886445,46764727,41772392,41772393,41772398,41772462,32851108,25144212,18588654,13209659,13209660,18588655,23913787,23913788,25144225,18588668,18588669,25144229,25482285,18879886,13454251,9200876,6023984,6023983,9200874,13454247,18879879,25482278,33230918,42191167,35202465,27112553,254694164,26928173,35009846,35306761,28032076,20864394,14962454,10294989,6768200,6768199,10294986,14962449,20864383,28032059,36494758,46352754,46352753,269294941,258623663 Dl.O(d2) = 125509627,260064205,86868577,83922606,83922605,97781184,100849810,100849811,86868577,83922606,83922605,97781184,258823283,73255727,60508835,49104699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8059224, s2 = 12602409, dlinesl.size( ) = 2 s1 = 8059224, s2 = 12602409, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8059224, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 9024444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 800559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 800559, s2 = 15375661, int(edited[s2]) = 0 s1 = 800559, s2 = 15375661, d1 = 1, d2 = 1 Dl.O(d1) = 99415212,85474389,71890176,59152592,256814280,37831492,29265624,21943842,254483612,254483614,44837750,36530414,28064239,256276485,256814282,57715746,46366337,256274369,20876505,255362289,10306767,10306766,6819283,6819284,7129660,4488448,254227564,1562064,1933400,1933396,3287673,4855838,2926243,2926246,4855843,7674080,11535090,9074598,9074599,13292060,14964507,20866554,25261016,25261015,255285428,18670656,14075992,14075991,19639527,21887562,20896205,14992162,14992161,20896203,28067288,32974587,25251923,18681085,13288252,13288251,13288241,9071172,9071171,10281488,10281489,10306038,13322887,14932139,14932138,15848285,15848284,21935835,29256484,256910589,269331567,71880572,270831423,113407208,127265730,261694203,273115439,175830505,185335520,193627830,263875321 Dl.O(d2) = 99415212,85474389,71890176,59152592,256814280,37831492,29265624,21943842,254483612,254483614,44837750,36530414,28064239,256276485,256814282,57715746,46366337,256274369,20876505,255362289,10306767,10306766,6819283,6819284,7129660,4488448,254227564,1562064,1933400,1933396,3287673,4855838,2926243,2926246,4855843,7674080,11535090,9074598,9074599,13292060,14964507,20866554,25261016,25261015,255285428,18670656,14075992,14075991,19639527,21887562,20896205,14992162,14992161,20896203,28067288,32974587,25251923,18681085,13288252,13288251,13288241,9071172,9071171,10281488,10281489,10306038,13322887,14932139,14932138,15848285,15848284,21935835,29256484,256910589,269331567,71880572,270831423,113407208,127265730,261694203,273115439,175830505,185335520,193627830,263875321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 800559, s2 = 15375661, dlinesl.size( ) = 2 s1 = 800559, s2 = 15375661, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 800559, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6543315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6543315, s2 = 14275952, int(edited[s2]) = 0 s1 = 6543315, s2 = 14275952, d1 = 5, d2 = 14 Dl.O(d1) = 255789557 Dl.O(d2) = 11794806,7876562,5001534,5001535,254811615,11794530,11795888,11795886,16862813,11794692,11794693,11794656,255132695,11791857,11797161,11797160,16865579,23123202,16865641,11797210,7878415,5002284,3023164,1757640,1757642,3023170,5002295,5002300,3023173,3023176,5002305,7878441,11797244,268388056,30553477,23135071,255133509,11804840,16866075,11797628,11797626,7884623,5007533,3027693,1761627,1003553,565532,565533,1003557,1761634,3027645,3027646,5007423,7884647,11804880,16874544,23135113,20299500,14567247,10023873,10023874,14567250,20299504,16870191,16870190,11805038,7884741,5007465,5007464,7884737,7418223,7418224,255081271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6543315, s2 = 14275952, dlinesl.size( ) = 2 s1 = 6543315, s2 = 14275952, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6543315, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 7940269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7940269, s2 = 8109373, int(edited[s2]) = 0 s1 = 7940269, s2 = 8109373, d1 = 10, d2 = 10 Dl.O(d1) = 260879028,267809629,2228570,3721934,5951504,5951503,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291425,2226585,3718328,5152932,5152851,3136854,1834109,1046682,1046684,1834117,2226145,2226147,3717639,2552166,2552168,3714094,2224067,2224066,3714092,3714053,3714054,5939747,6850214,5939690,3714025,2224030,1290047,1290048,2224032,3714026,5939693,4265123,2549996,2549994,4265118,6801192,255003805,6851892,4299896,2570778,1480045,1480047,2570781,4257673,4257671,2549868,2549867,4264936,6800967,9056241,9234254,6047897,6047898,7668777,4852179,2923973,1696155,1696154,2923969,4852172,6747287,6799534,9090500,9090499,13309267,18702354,16862587,11794426,7876162,5000657,3022004,3022006,5000660,6852822,4858238,2927709,1698248,965643,544115,304888,304889,544117,965649,1698257,2927724,3724991,3724990,4929031,4929033,6852366,4300272,4300099,2570906,2570905,2560735,1474730,833924,470125,470127,833930,1474742,2560753,4283123,6827161,10363878,13275069,9059850,9059852,10354022,10353898,10353897,15026090,15026095,15070825,10394007,6851132,6851131,10394027,11528841,10355202,10355201,13309923,13309922,15025733,10353592,10353591,10281379,6757638,6757639,6810160,10344168,10415567,9102490,5955860,5955861,9102495,10293673,10293674,12083327,12083326,9071908,5932399,4254419,4234922,2531998,2531997,3467415,5589052,8600946,9097338,8136345,5952083,5952079,9097373,9092134,9092131,5948213,5948214,6785878,6785877,6797352,4262277,4262276,267957539,14998461,255790495,29660617,255785156,22807572,28427612,28276777,21072832,21072833,254785316,16042174,22164253,26388020,19660579,14092588,254540372,26394845,25575585,18966910,13531438,13531437,18966907,22245334,22245335,26395160,26395159,34270886,34264718,26387427,26387425,34264714,28989769,21705822,15664211,254503884,11139111,16042338,21641219,254169900,15159585,21104339,21104338,17821361,17821360,16553931,14094419,14094418,19662914,16553966,11538340,11538336,16553996,254298418,19266099,13770619,13770623,11390465,7567705,7567707,11390475,256137491,15258505,10867457,10867456,255424675,17580426,23921634,31411380,258888423,257072180,255567572,255567574,47319459,269081502,10467367,6899961,4331986,4331988,6899979,254651520,10553612,15288275,21253118,28473041,23428726,21237345,15268943,15268941,10542257,6952557,4368593,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700250,10700245,9247513,9247516,6056424,6056422,9247544,13514698,18945699,25558434,257208567 Dl.O(d2) = 260879028,267809629,2228570,3721934,5951504,5951503,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291425,2226585,3718328,5152932,5152851,3136854,1834109,1046682,1046684,1834117,2226145,2226147,3717639,2552166,2552168,3714094,2224067,2224066,3714092,3714053,3714054,5939747,6850214,5939690,3714025,2224030,1290047,1290048,2224032,3714026,5939693,4265123,2549996,2549994,4265118,6801192,255003805,6851892,4299896,2570778,1480045,1480047,2570781,4257673,4257671,2549868,2549867,4264936,6800967,9056241,9234254,6047897,6047898,7668777,4852179,2923973,1696155,1696154,2923969,4852172,6747287,6799534,9090500,9090499,13309267,18702354,16862587,11794426,7876162,5000657,3022004,3022006,5000660,6852822,4858238,2927709,1698248,965643,544115,304888,304889,544117,965649,1698257,2927724,3724991,3724990,4929031,4929033,6852366,4300272,4300099,2570906,2570905,2560735,1474730,833924,470125,470127,833930,1474742,2560753,4283123,6827161,10363878,13275069,9059850,9059852,10354022,10353898,10353897,15026090,15026095,15070825,10394007,6851132,6851131,10394027,11528841,10355202,10355201,13309923,13309922,15025733,10353592,10353591,10281379,6757638,6757639,6810160,10344168,10415567,9102490,5955860,5955861,9102495,10293673,10293674,12083327,12083326,9071908,5932399,4254419,4234922,2531998,2531997,3467415,5589052,8600946,9097338,8136345,5952083,5952079,9097373,9092134,9092131,5948213,5948214,6785878,6785877,6797352,4262277,4262276,267957539,14998461,255790495,29660617,255785156,22807572,28427612,28276777,21072832,21072833,254785316,16042174,22164253,26388020,19660579,14092588,254540372,26394845,25575585,18966910,13531438,13531437,18966907,22245334,22245335,26395160,26395159,34270886,34264718,26387427,26387425,34264714,28989769,21705822,15664211,254503884,11139111,16042338,21641219,254169900,15159585,21104339,21104338,17821361,17821360,16553931,14094419,14094418,19662914,16553966,11538340,11538336,16553996,254298418,19266099,13770619,13770623,11390465,7567705,7567707,11390475,256137491,15258505,10867457,10867456,255424675,17580426,23921634,31411380,258888423,257072180,255567572,255567574,47319459,269081502,10467367,6899961,4331986,4331988,6899979,254651520,10553612,15288275,21253118,28473041,23428726,21237345,15268943,15268941,10542257,6952557,4368593,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700250,10700245,9247513,9247516,6056424,6056422,9247544,13514698,18945699,25558434,257208567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7940269, s2 = 8109373, dlinesl.size( ) = 2 s1 = 7940269, s2 = 8109373, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7940269, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8109372, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163154, s2 = 10177320, int(edited[s2]) = 0 s1 = 14163154, s2 = 10177320, d1 = 1, d2 = 1 Dl.O(d1) = 115850242,101803869,87829797,258254187,49966987,39950172,39950173,42038934,33090911,33090910,33090905,25357845,18775463,18775462,25357843,256636085,42038924,38475926,33090969,25357898,25357896,25357895,33090968,33090965,33090966,36612153,46478288,57834131,61774331,61774332,52382960,257628863,39740523,256332876,23578837,20960436,255796785,15051119,10377326,10377325,15051117,20960434,28138524,28138522,28138523,25019662,25019661,256612693,51907386,269346253,38478609,29919252,22560457,22560458,29919253,38478611,48380800,49077712,49077711,60480930,49077713,39147927,30550180,256464587,25929772,25929771,33736873,42766990,39147948,30550200,23132132,16871872,16871871,23132130,30550197,39147944,49077728,257501918,47828379,37906586,37906585,39726091,31047262,255545241,15905452,11026890,7301126,4605558,4605556,5962138,9112358,12619737,17291193,255091214,7490137,4733715,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285755,509769,903847,1589877,2698226,1914992,1914995,3259444,3244429,1904192,1087066,1087068,1904202,3198670,3198668,5239583,3201166,1874240,1874239,3201164,5242383,3201528,1874480,1874482,3201534,3223698,5268979,5275237,3229384,3229385,5275239,8204098,8206728,8210475,5281462,3234780,3224497,1890197,1078572,1078569,1890187,1921792,1097870,1097871,1885567,1085657,609635,339164,339161,609627,601325,334927,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,334987,184232,100927,100928,184235,334992,267754701,1876121,3203904,5245459,8175917,5256672,3212838,1882007,1882008,3211876,1891072,1891071,3225738,5271280,8200558,7309045,4613055,2777719,2777718,1611537,1611536,2777887,3209126,3224249,3224248,5269584,8199109,8187644,5257196,3213246,3212682,1890000,1078459,1078458,1889996,2775045,4609357,3034745,3034744,5016681,7895718,8181773,8167001,5236763,3196719,3196718,2780933,2780932,4618355,7307410,7307411,255068577,255443521,15916852,11038794,7313259,4616354,4616353,7313239,4616333,4616332,7313237,7323623,4624654,2785019,2785020,4624657,5282101,5221609,5221608,8150146,5253213,5253212,8183586,8172517,5253451,5253454,5221089,5221084,8149473,255015630,8194030,8148067,8148066,6588801,254696969,7321184,8222392,8222393,267994463,5281146,3234449,1897307,1082961,1082964,1897315,3229894,5275665,8204413,11027658,11027656,11713591,11713590,8244777,8244778,8236136,8203386,5319669,5319668,5235771,3212890,3212888,4962317,5297479,5319014,5319015,7402259,7402260,4789938,4789935,2887471,1675852,953479,537619,301399,301400,537606,953453,1675810,2887400,254536897,7574956,4790980,4790981,7574952,11400007,16191867,11255513,11255512,255466127,22227767,255081073,7416877,7416878,11177386,11177385,16092875,22226248,23539917,30016184,22644159,22644160,30016186,38588591,31022656,31022654,31801373,24287141,24287143,31801376,40496547,46404612,48529791,48529796,48529797,57755435,46404610,36543297,28075536,20903394,14998701,267957543,4262347,5921352,3702611,3702612,5921359,9057024,8329553,5375903,5375905,7900881,11822572,10267869,6747294,6747293,7668879,4852250,4852252,5922078,5922075,9057875,254997781,10278007,10343757,15002938,19381717,255290576,18701495,18701494,18668032,13276382,9061118,5924617,5924618,3723168,2229247,2229245,3723161,5210217,3720220,3709744,3709743,4292081,4292080,6840521,4292201,2566184,1477625,835382,835379,1477613,2566159,4235208,4235210,5949444,5207500,3177107,2230429,2230431,3725263,5956820,9103722,10988232,7273761,4587153,2759721,2759719,4587149,7273755,10988223,15854033,21942529,29264145,37824579,37630713,29080409,29080408,21942528,21942526,23300078,17039924,11953646,8002089,5094337,5094335,8002084,11953640,17039914,23300064,25185818,25185821,32895448,36926098,28427462,21203803,15238011,10511754,6931727,6931728,10511756,15238015,21203811,21203801,15238009,15238008,21203798,28427455,36926091,46804290,47057789,37166399,28649449,21407092,15419132,10658874,255034227,21407091,28649447,37166395,47057787,58127346,50072159,40052305,40052304,47057785,47057786,58432607,71153893,257127426,107817701,93395680,79269485,257416054,58085934,70802830,84361429,97948166,256066842,70537428,70537378,64836749,64836750,78034187,91961535,106159783,107817703,93395682,79269486,70537419,57835652,46479650,46479649,57835651,61405590,49926062,39906612,31229957,31229958,39906615,46479610,36613315,28139728,28139727,268906201,29245830,256367747,47732598,256554130,257127428,84361425,70802829,70802830,84361429,98269763,112249304,107817704,258324182,86859408,86859407,86859406,100840130,111885739,100840128,86859405,73246758,73246757,86859404,86876008,86876009,86859402,73246756,60499822,49096184,39165998,39165999,39166001,39166000,49096187,60499825,73246761,258298745,50556735,40520407,31823396,31823395,40520406,44561954,35183658,35183657,31823398,24306651,17922488,12698559,8627146,8627145,255206035,24306642,31823388,39944620,49961426,61439368,74218750,87823218,101796420,102490145,90875515,90875516,90875517,76997382,63887051,63887052,52068940,41755125,41755122,255327888,18576578,18576579,25129146,32834142,41755127,47461618,37554166,29008280,21722051,15677589,254745601,4520254,4520253,7175745,10853675,15677582,21268016,15306615,10570411,10570410,15306613,21268013,28484509,36981429,29001253,21951494,21951491,21951502,26001572,19328994,19328993,26001568,21723056,15678239,15678240,21723058,29009697,29001822,21716308,21716307,23050206,30457748,29000283,21715070,15671919,10849474,10849473,12190425,8220590,8220592,8220657,8220658,12190502,15680380,10855531,10855533,15680382,16675128,15694927,15673744,10850605,7173344,7173345,10850611,15673763,18853333,18853332,15696060,10865730,7184058,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579879,3462014,2053011,2053009,3462009,5579867,8587216,12647531,17859729,24233576,31743589,31739824,24235867,17861270,17860419,17856865,17856272,17856274 Dl.O(d2) = 115850242,101803869,87829797,258254187,49966987,39950172,39950173,42038934,33090911,33090910,33090905,25357845,18775463,18775462,25357843,256636085,42038924,38475926,33090969,25357898,25357896,25357895,33090968,33090965,33090966,36612153,46478288,57834131,61774331,61774332,52382960,257628863,39740523,256332876,23578837,20960436,255796785,15051119,10377326,10377325,15051117,20960434,28138524,28138522,28138523,25019662,25019661,256612693,51907386,269346253,38478609,29919252,22560457,22560458,29919253,38478611,48380800,49077712,49077711,60480930,49077713,39147927,30550180,256464587,25929772,25929771,33736873,42766990,39147948,30550200,23132132,16871872,16871871,23132130,30550197,39147944,49077728,257501918,47828379,37906586,37906585,39726091,31047262,255545241,15905452,11026890,7301126,4605558,4605556,5962138,9112358,12619737,17291193,255091214,7490137,4733715,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285755,509769,903847,1589877,2698226,1914992,1914995,3259444,3244429,1904192,1087066,1087068,1904202,3198670,3198668,5239583,3201166,1874240,1874239,3201164,5242383,3201528,1874480,1874482,3201534,3223698,5268979,5275237,3229384,3229385,5275239,8204098,8206728,8210475,5281462,3234780,3224497,1890197,1078572,1078569,1890187,1921792,1097870,1097871,1885567,1085657,609635,339164,339161,609627,601325,334927,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,334987,184232,100927,100928,184235,334992,267754701,1876121,3203904,5245459,8175917,5256672,3212838,1882007,1882008,3211876,1891072,1891071,3225738,5271280,8200558,7309045,4613055,2777719,2777718,1611537,1611536,2777887,3209126,3224249,3224248,5269584,8199109,8187644,5257196,3213246,3212682,1890000,1078459,1078458,1889996,2775045,4609357,3034745,3034744,5016681,7895718,8181773,8167001,5236763,3196719,3196718,2780933,2780932,4618355,7307410,7307411,255068577,255443521,15916852,11038794,7313259,4616354,4616353,7313239,4616333,4616332,7313237,7323623,4624654,2785019,2785020,4624657,5282101,5221609,5221608,8150146,5253213,5253212,8183586,8172517,5253451,5253454,5221089,5221084,8149473,255015630,8194030,8148067,8148066,6588801,254696969,7321184,8222392,8222393,267994463,5281146,3234449,1897307,1082961,1082964,1897315,3229894,5275665,8204413,11027658,11027656,11713591,11713590,8244777,8244778,8236136,8203386,5319669,5319668,5235771,3212890,3212888,4962317,5297479,5319014,5319015,7402259,7402260,4789938,4789935,2887471,1675852,953479,537619,301399,301400,537606,953453,1675810,2887400,254536897,7574956,4790980,4790981,7574952,11400007,16191867,11255513,11255512,255466127,22227767,255081073,7416877,7416878,11177386,11177385,16092875,22226248,23539917,30016184,22644159,22644160,30016186,38588591,31022656,31022654,31801373,24287141,24287143,31801376,40496547,46404612,48529791,48529796,48529797,57755435,46404610,36543297,28075536,20903394,14998701,267957543,4262347,5921352,3702611,3702612,5921359,9057024,8329553,5375903,5375905,7900881,11822572,10267869,6747294,6747293,7668879,4852250,4852252,5922078,5922075,9057875,254997781,10278007,10343757,15002938,19381717,255290576,18701495,18701494,18668032,13276382,9061118,5924617,5924618,3723168,2229247,2229245,3723161,5210217,3720220,3709744,3709743,4292081,4292080,6840521,4292201,2566184,1477625,835382,835379,1477613,2566159,4235208,4235210,5949444,5207500,3177107,2230429,2230431,3725263,5956820,9103722,10988232,7273761,4587153,2759721,2759719,4587149,7273755,10988223,15854033,21942529,29264145,37824579,37630713,29080409,29080408,21942528,21942526,23300078,17039924,11953646,8002089,5094337,5094335,8002084,11953640,17039914,23300064,25185818,25185821,32895448,36926098,28427462,21203803,15238011,10511754,6931727,6931728,10511756,15238015,21203811,21203801,15238009,15238008,21203798,28427455,36926091,46804290,47057789,37166399,28649449,21407092,15419132,10658874,255034227,21407091,28649447,37166395,47057787,58127346,50072159,40052305,40052304,47057785,47057786,58432607,71153893,257127426,107817701,93395680,79269485,257416054,58085934,70802830,84361429,97948166,256066842,70537428,70537378,64836749,64836750,78034187,91961535,106159783,107817703,93395682,79269486,70537419,57835652,46479650,46479649,57835651,61405590,49926062,39906612,31229957,31229958,39906615,46479610,36613315,28139728,28139727,268906201,29245830,256367747,47732598,256554130,257127428,84361425,70802829,70802830,84361429,98269763,112249304,107817704,258324182,86859408,86859407,86859406,100840130,111885739,100840128,86859405,73246758,73246757,86859404,86876008,86876009,86859402,73246756,60499822,49096184,39165998,39165999,39166001,39166000,49096187,60499825,73246761,258298745,50556735,40520407,31823396,31823395,40520406,44561954,35183658,35183657,31823398,24306651,17922488,12698559,8627146,8627145,255206035,24306642,31823388,39944620,49961426,61439368,74218750,87823218,101796420,102490145,90875515,90875516,90875517,76997382,63887051,63887052,52068940,41755125,41755122,255327888,18576578,18576579,25129146,32834142,41755127,47461618,37554166,29008280,21722051,15677589,254745601,4520254,4520253,7175745,10853675,15677582,21268016,15306615,10570411,10570410,15306613,21268013,28484509,36981429,29001253,21951494,21951491,21951502,26001572,19328994,19328993,26001568,21723056,15678239,15678240,21723058,29009697,29001822,21716308,21716307,23050206,30457748,29000283,21715070,15671919,10849474,10849473,12190425,8220590,8220592,8220657,8220658,12190502,15680380,10855531,10855533,15680382,16675128,15694927,15673744,10850605,7173344,7173345,10850611,15673763,18853333,18853332,15696060,10865730,7184058,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579879,3462014,2053011,2053009,3462009,5579867,8587216,12647531,17859729,24233576,31743589,31739824,24235867,17861270,17860419,17856865,17856272,17856274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163154, s2 = 10177320, dlinesl.size( ) = 2 s1 = 14163154, s2 = 10177320, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163154, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 8299392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 804321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 804321, s2 = 10157678, int(edited[s2]) = 0 s1 = 804321, s2 = 10157678, d1 = 11, d2 = 7 Dl.O(d1) = 20935228 Dl.O(d2) = 18550784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 804321, s2 = 10157678, dlinesl.size( ) = 14 s1 = 578963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 578963, s2 = 11849290, int(edited[s2]) = 0 s1 = 578963, s2 = 11849290, d1 = 1, d2 = 1 Dl.O(d1) = 15041588,20950380 Dl.O(d2) = 15041588,20950380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 578963, s2 = 11849290, dlinesl.size( ) = 2 s1 = 578963, s2 = 11849290, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 578963, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10202979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7887349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7887349, s2 = 11384294, int(edited[s2]) = 0 s1 = 7887349, s2 = 11384294, d1 = 30, d2 = 37 Dl.O(d1) = 255360029,14951168,14975539,13275361,10310020,8338655,5382121,3309637,1947044,1112242,624131,346848,190195,190199,346863,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646586,254637003,268136773,10344268,10286655,10286656,10337513,6804811,4267651,4267650,4276454,2556834,1472704,832900,832899,1472700,2556830,4275302,6816065,10351362,10308032,10308031,10339344,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479441,836257,471243,471244,836265,1479467,2569632,4298034,6760867,6760868,6790113,10320751,6849474,6849475,6849615,10366207,6828963,4284318,2561481,2561480,3711585,3711586,5935928,5950227,9080855,6149618,6149616,7044070,7044071,10305953,254362522,5947889,254337754,4275859,2556469,1472509,254219629,2538495,2538298,2538297,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477431,1477433,2565791,254714237 Dl.O(d2) = 20963351,28141589,269766203,261063929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7887349, s2 = 11384294, dlinesl.size( ) = 20 s1 = 6466897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163266, s2 = 11656621, int(edited[s2]) = 0 s1 = 14163266, s2 = 11656621, d1 = 1, d2 = 1 Dl.O(d1) = 1282864,1282859,1282586,1282582,1284908,1284905,2213993,3697169,5914118,254292486,8994574,5872394,3666710,2194736,1274890,1274889,2194734,3666706,5872384,8986567,5866959,3662877,3662878,2191743,1272387,1272389,2191747,3662870,2191688,2191689,254437385,3662908,5867006,8986630,13183232,18553367,13183119,13183120,13194107,18553909,13183567,8986868,5867164,5867163,8986866,13183562,18553495,13183502,8986826,8986827,13183507,8986856,8986855,13183545,8994545,5872373,5872372,8994543,13183168,8986588,5866980,3662892,2191700,2191701,3662894,3662925,3662926,3662971,2191740,1272386,727276,727265,413784,233676,233674,413781,727259,1272368,2191707,3662913,5867015,5872383,5872382,8986550,13183128,254639181,3663012,2191758,2191757,3663007,5867166,8986823,5867131,3662994,3662995,5867136,5872387,8994558,8986561,8986560,5872378,3666700,2194728,2194730,3666702,5872381,5866967,3662884,2191697,2191698,3662886,3662923,3662922,5867020,8986653,13183264,13183255,13183256,13183258,13183271,13183270,254906795,5867008,5867009,8986635,8986639,13183242,13183386,13183125,8986720,8986721,13183369,8986878,5867170,5867169,8986695,8986694,5867160,5867161,8986820,8986819,13183494,8986966,8986967,13183732,13183310,8986685,5867089,3662965,2191737,2191736,3662963,5867084,8986757,8986575,8986574,13183152,8986758,254906783,8986571,13183141,13183305,8986680,8986681,8986665,5867028,5867027,8986663,13183277,13183357,8986715,5867053,3662941,2191722,2191723,3662945,5867059,8986726,13183129,18553372,25101853,25101859,25101860,18553891,18553890,18553726,13183427,13183428,13183307,13183308,18553566,25102087,25102218,18553677,18553676,25102011,18553817,18553819,18553916,18553917,25102182,18553647,18553646,18553593,13183327,8986701,5867078,5867079,8986747,8986677,5867036,3662932,2191717,2191718,3662936,5867043,8986692,8986745,13183353,18553637,25102167,31267690,23782609,23782610,31267693,32804121,256038236,23782529,23782530,25102113,18553584,13183321,13183323,18553587,25102097,25102098,25102081,25102080,256104413,18553914,18553913,18553604,18553605,25102092,18553575,13183314,13183313,18553573,268483795,17452457,12303041,8309796,5361853,3296131,3296132,5361859,8309805,12303053,17452474,17452488,17452442,12303030,12303029,17452437,23782521,31267566,31267673,31267660,23782588,23782590,23782491,17452421,12303020,12303019,17452417,23782485,31267507,27246262,27246264,35370433,39942321,31267522,23782496,23782497,31267526,39942330,32803988,32803989,41724118,35370435,35370436,44795195,39942396,31267601,23782545,17452452,254846829,5361870,3296139,1938600,1938599,3296137,5361869,8309822,12303080,17452521,23782655,31267738,31267557,23782517,23782518,31267561,39942354,39942442,31267678,31267536,23782505,255171017,8309786,8309787,12303027,17452432,23782512,31267547,23829038,17491117,17491118,268440353,39995900,33687909,33687910,42717917,35370440,27246266,20314509,18875932,13451151,13451152,18875938,23370697,23370696,17452524,12303084,12303085,10031704,6592945,6592946,10031708,10031694,10031695,14578640,10031734,10031735,14578695,20314533,27246279,29387333,29387334,35370368,27246214,20314468,20314467,25102291,25102288,32804187,35370377,35370373,35370372,44795135,35370364,27246210,20314462,20314461,27246208,29416965,22086585,22086584,20900115,20900114,27246185,20314433,20314432,14578701,14578700,18875956,13451171,9198765,9198763,13451166,14578664,20314484,22942308,22942307,20314454,14578649,10031701,6592943,4830164,4130482,2470862,1428216,1428217,2470866,4130492,6592990,10031774,14578758,20314637,22151144,22151143,18300173,255238204,254636542,25717824,19348845,13838125,13838124,17285938,254885862,15062950,10387530,10387531,15062951,15062952,20973474,256285955,28151637,36625065,46491459,57847609,70549676,84086574,97960422,97812001,97812000,83952935,83952934,70426425,57731896,46381822,36522288,28057073,255363323,10315874,6786045,4254110,2543178,2543180,4254117,6760144,4236342,4236343,6760147,10284715,6821464,6821466,10297584,254999821,255174619,10285551,6806037,6806038,10338868,13271729,9056554,5921027,3702423,2217583,2217584,2225745,2225743,3465366,3465364,5585599,5947816,5942244,5942248,5587221,5587223,3467396,3466894,2566857,1477976,1477978,2566865,4293359,5210759,5210758,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,6832213,6832215,8595960,5926590,5926591,9063845,10315706,9101222,9101224,9987116,12330477,8597404,5586372,5586371,8133906,5211706,5211708,3179680,3179682,5211737,7340799,4636783,2792984,2792985,4636784,6427840,9775995,14219994,255730067,22050595,255882779,37945897,33294236,25532888,18922101,18922102,25532893,33294249,37481340,38192088,34588919,34588920,29368264,29368263,33299223,33299217,33299219,38191250,33303836,25541972,22273578,16131526,16131527,16130578,11205371,11205375,16130586,21976665,21976667,21425631,15433576,10669563,10669564,14184941,9778571,9778570,7346123,7346124,11078715,15880461,19852227,19852229,26668217,22065577,15960829,15960830,22065579,16227122,11280576,7488254,4732300,2851263,2851262,2702653,1566054,1566053,2702650,4497841,7143399,10810521,15624339,21660495,17101618,12015993,11009059,9233000,9232999,13495686,18930825,268494943,256050761,17926077,12701374,8629215,5611200,3567941,254198129,694117,254142821,2126572,268277607,24385588,31918157,32315853,41129136,51312147,48835247,48835246,60229945,60229946,48835248,38914423,30327561,22926524,16692158,16692157,22926522,30327560,38914421,257574987,258806567,100527387,114558245,128442524,261770079,166178872,176798563,186193759,194384886,264247445,207309968,212180692,216159064,219455493,222240111 Dl.O(d2) = 1282864,1282859,1282586,1282582,1284908,1284905,2213993,3697169,5914118,254292486,8994574,5872394,3666710,2194736,1274890,1274889,2194734,3666706,5872384,8986567,5866959,3662877,3662878,2191743,1272387,1272389,2191747,3662870,2191688,2191689,254437385,3662908,5867006,8986630,13183232,18553367,13183119,13183120,13194107,18553909,13183567,8986868,5867164,5867163,8986866,13183562,18553495,13183502,8986826,8986827,13183507,8986856,8986855,13183545,8994545,5872373,5872372,8994543,13183168,8986588,5866980,3662892,2191700,2191701,3662894,3662925,3662926,3662971,2191740,1272386,727276,727265,413784,233676,233674,413781,727259,1272368,2191707,3662913,5867015,5872383,5872382,8986550,13183128,254639181,3663012,2191758,2191757,3663007,5867166,8986823,5867131,3662994,3662995,5867136,5872387,8994558,8986561,8986560,5872378,3666700,2194728,2194730,3666702,5872381,5866967,3662884,2191697,2191698,3662886,3662923,3662922,5867020,8986653,13183264,13183255,13183256,13183258,13183271,13183270,254906795,5867008,5867009,8986635,8986639,13183242,13183386,13183125,8986720,8986721,13183369,8986878,5867170,5867169,8986695,8986694,5867160,5867161,8986820,8986819,13183494,8986966,8986967,13183732,13183310,8986685,5867089,3662965,2191737,2191736,3662963,5867084,8986757,8986575,8986574,13183152,8986758,254906783,8986571,13183141,13183305,8986680,8986681,8986665,5867028,5867027,8986663,13183277,13183357,8986715,5867053,3662941,2191722,2191723,3662945,5867059,8986726,13183129,18553372,25101853,25101859,25101860,18553891,18553890,18553726,13183427,13183428,13183307,13183308,18553566,25102087,25102218,18553677,18553676,25102011,18553817,18553819,18553916,18553917,25102182,18553647,18553646,18553593,13183327,8986701,5867078,5867079,8986747,8986677,5867036,3662932,2191717,2191718,3662936,5867043,8986692,8986745,13183353,18553637,25102167,31267690,23782609,23782610,31267693,32804121,256038236,23782529,23782530,25102113,18553584,13183321,13183323,18553587,25102097,25102098,25102081,25102080,256104413,18553914,18553913,18553604,18553605,25102092,18553575,13183314,13183313,18553573,268483795,17452457,12303041,8309796,5361853,3296131,3296132,5361859,8309805,12303053,17452474,17452488,17452442,12303030,12303029,17452437,23782521,31267566,31267673,31267660,23782588,23782590,23782491,17452421,12303020,12303019,17452417,23782485,31267507,27246262,27246264,35370433,39942321,31267522,23782496,23782497,31267526,39942330,32803988,32803989,41724118,35370435,35370436,44795195,39942396,31267601,23782545,17452452,254846829,5361870,3296139,1938600,1938599,3296137,5361869,8309822,12303080,17452521,23782655,31267738,31267557,23782517,23782518,31267561,39942354,39942442,31267678,31267536,23782505,255171017,8309786,8309787,12303027,17452432,23782512,31267547,23829038,17491117,17491118,268440353,39995900,33687909,33687910,42717917,35370440,27246266,20314509,18875932,13451151,13451152,18875938,23370697,23370696,17452524,12303084,12303085,10031704,6592945,6592946,10031708,10031694,10031695,14578640,10031734,10031735,14578695,20314533,27246279,29387333,29387334,35370368,27246214,20314468,20314467,25102291,25102288,32804187,35370377,35370373,35370372,44795135,35370364,27246210,20314462,20314461,27246208,29416965,22086585,22086584,20900115,20900114,27246185,20314433,20314432,14578701,14578700,18875956,13451171,9198765,9198763,13451166,14578664,20314484,22942308,22942307,20314454,14578649,10031701,6592943,4830164,4130482,2470862,1428216,1428217,2470866,4130492,6592990,10031774,14578758,20314637,22151144,22151143,18300173,255238204,254636542,25717824,19348845,13838125,13838124,17285938,254885862,15062950,10387530,10387531,15062951,15062952,20973474,256285955,28151637,36625065,46491459,57847609,70549676,84086574,97960422,97812001,97812000,83952935,83952934,70426425,57731896,46381822,36522288,28057073,255363323,10315874,6786045,4254110,2543178,2543180,4254117,6760144,4236342,4236343,6760147,10284715,6821464,6821466,10297584,254999821,255174619,10285551,6806037,6806038,10338868,13271729,9056554,5921027,3702423,2217583,2217584,2225745,2225743,3465366,3465364,5585599,5947816,5942244,5942248,5587221,5587223,3467396,3466894,2566857,1477976,1477978,2566865,4293359,5210759,5210758,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,6832213,6832215,8595960,5926590,5926591,9063845,10315706,9101222,9101224,9987116,12330477,8597404,5586372,5586371,8133906,5211706,5211708,3179680,3179682,5211737,7340799,4636783,2792984,2792985,4636784,6427840,9775995,14219994,255730067,22050595,255882779,37945897,33294236,25532888,18922101,18922102,25532893,33294249,37481340,38192088,34588919,34588920,29368264,29368263,33299223,33299217,33299219,38191250,33303836,25541972,22273578,16131526,16131527,16130578,11205371,11205375,16130586,21976665,21976667,21425631,15433576,10669563,10669564,14184941,9778571,9778570,7346123,7346124,11078715,15880461,19852227,19852229,26668217,22065577,15960829,15960830,22065579,16227122,11280576,7488254,4732300,2851263,2851262,2702653,1566054,1566053,2702650,4497841,7143399,10810521,15624339,21660495,17101618,12015993,11009059,9233000,9232999,13495686,18930825,268494943,256050761,17926077,12701374,8629215,5611200,3567941,254198129,694117,254142821,2126572,268277607,24385588,31918157,32315853,41129136,51312147,48835247,48835246,60229945,60229946,48835248,38914423,30327561,22926524,16692158,16692157,22926522,30327560,38914421,257574987,258806567,100527387,114558245,128442524,261770079,166178872,176798563,186193759,194384886,264247445,207309968,212180692,216159064,219455493,222240111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163266, s2 = 11656621, dlinesl.size( ) = 2 s1 = 14163266, s2 = 11656621, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163266, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 11656378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656378, s2 = 9668933, int(edited[s2]) = 0 s1 = 11656378, s2 = 9668933, d1 = 8, d2 = 8 Dl.O(d1) = 113808241,99794326,85841652,72249980,256940122,42809556,42809557,53262709,60288605,48894825,38974262,30387691,254626146,254197056,3835299,2297754,2297755,3678606,3671141,3671140,2202215,2202214,3009525,1748160,254248745,4981989,7848396,255129265,23056325,30464753,39054597,48976484,60372694,73112295,86718094,100694229,104432181,269330888,76450531,63406690,51663458,41421687,32562080,32562079,41421686,51663457,256365844,51662539,51662538,41421455,32561813,24910338,24910333,18405277,18405278,24910336,32561808,41421450,51663268,63406536,76450405,90280636,104432090,105502360,91280256,91280257,105502363,109841885,95638497,81605743,81605742,95638495,95638493,81605741,68117135,55720808,44814315,35389616,27264113,20329578,20329579,27264114,35389618,44814316,55720810,68117137,81605744,95638499,109841888,259020980,260264878,272368884,186953007,177672185,167173049,155540535,142991295,129663585,115766834,101721778,101721779,115766837,125718430,111900945,97963444,259265359,70553092,57851688,46495816,36629183,28155211,20976274,15065036,15065035,20976272,255798519,20976263,28155198,36629168,46495800,57851667,70553061,84089624,259884315,111900871,125718347,122218243,107812208,93389968,93389969,98521278,98521277,101011773,98521280,84596270,71031801,58315924,46949006,37069500,37069499,46949005,58315923,71031799,71165279,67798860,254782290,22540345,22540344,29895950,29895407,29895406,29895410,38452621,48354563,38452905,29895670,22540106,22540105,18389548,18389550,24889358,23384626,18098443,18098444,15203714,15203715,17720258,24060912,18390422,13062759,8901345,5808504,5808502,8901335,10340029,10340030,15010233,20915804,28089471,33617696,41386662,48929702,255926488,31444545,31444546,31444538,31444539,39419581,34257452,34257453,40311842,31623344,31623345,39418592,30813404,30813405,39418595,49348051,58545353,49348450,39418973,30813818,30813817,23635846,23635845,23653432,17336360,17336359,23653430,31140970,37146426,47035359,39924754,31249120,255558191,17436696,23764646,19176598,13694171,13694172,19176600,25828615,33630790,26045948,19366638,19366639,17606806,12428102,8399821,8399820,12428100,9503007,6233034,3902378,2337122,2337123,3902381,6233043,9503020,13852739,19366677,26045991,26045979,19366664,19366663,26045975,33868165,42913878,53380266,65384231,58353028,46983495,46983492,37099507,28592451,21360508,15382279,15382276,10629996,7016559,4411951,4411950,7016561,10629999,15382282,21360515,28592460,37099516,46983499,58353029,257447408,71069256,71069257,269782334,258058066,71069261,71069262,84632228,98555733,98555731,98555732,84632232,71069271,71050401,58334549,46966711,46966712,37085427,28580879,21351383,21351382,28580876,37085421,46966714,258047113,58334560,71050419,84614499,98538962,112533162,98538957,98538956,260519181,112533178,112533177,126403012 Dl.O(d2) = 113808241,99794326,85841652,72249980,256940122,42809556,42809557,53262709,60288605,48894825,38974262,30387691,254626146,254197056,3835299,2297754,2297755,3678606,3671141,3671140,2202215,2202214,3009525,1748160,254248745,4981989,7848396,255129265,23056325,30464753,39054597,48976484,60372694,73112295,86718094,100694229,104432181,269330888,76450531,63406690,51663458,41421687,32562080,32562079,41421686,51663457,256365844,51662539,51662538,41421455,32561813,24910338,24910333,18405277,18405278,24910336,32561808,41421450,51663268,63406536,76450405,90280636,104432090,105502360,91280256,91280257,105502363,109841885,95638497,81605743,81605742,95638495,95638493,81605741,68117135,55720808,44814315,35389616,27264113,20329578,20329579,27264114,35389618,44814316,55720810,68117137,81605744,95638499,109841888,259020980,260264878,272368884,186953007,177672185,167173049,155540535,142991295,129663585,115766834,101721778,101721779,115766837,125718430,111900945,97963444,259265359,70553092,57851688,46495816,36629183,28155211,20976274,15065036,15065035,20976272,255798519,20976263,28155198,36629168,46495800,57851667,70553061,84089624,259884315,111900871,125718347,122218243,107812208,93389968,93389969,98521278,98521277,101011773,98521280,84596270,71031801,58315924,46949006,37069500,37069499,46949005,58315923,71031799,71165279,67798860,254782290,22540345,22540344,29895950,29895407,29895406,29895410,38452621,48354563,38452905,29895670,22540106,22540105,18389548,18389550,24889358,23384626,18098443,18098444,15203714,15203715,17720258,24060912,18390422,13062759,8901345,5808504,5808502,8901335,10340029,10340030,15010233,20915804,28089471,33617696,41386662,48929702,255926488,31444545,31444546,31444538,31444539,39419581,34257452,34257453,40311842,31623344,31623345,39418592,30813404,30813405,39418595,49348051,58545353,49348450,39418973,30813818,30813817,23635846,23635845,23653432,17336360,17336359,23653430,31140970,37146426,47035359,39924754,31249120,255558191,17436696,23764646,19176598,13694171,13694172,19176600,25828615,33630790,26045948,19366638,19366639,17606806,12428102,8399821,8399820,12428100,9503007,6233034,3902378,2337122,2337123,3902381,6233043,9503020,13852739,19366677,26045991,26045979,19366664,19366663,26045975,33868165,42913878,53380266,65384231,58353028,46983495,46983492,37099507,28592451,21360508,15382279,15382276,10629996,7016559,4411951,4411950,7016561,10629999,15382282,21360515,28592460,37099516,46983499,58353029,257447408,71069256,71069257,269782334,258058066,71069261,71069262,84632228,98555733,98555731,98555732,84632232,71069271,71050401,58334549,46966711,46966712,37085427,28580879,21351383,21351382,28580876,37085421,46966714,258047113,58334560,71050419,84614499,98538962,112533162,98538957,98538956,260519181,112533178,112533177,126403012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656378, s2 = 9668933, dlinesl.size( ) = 2 s1 = 11656378, s2 = 9668933, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656378, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 9369452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13437229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13248907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7887577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7887577, s2 = 7635921, int(edited[s2]) = 0 s1 = 7887577, s2 = 7635921, d1 = 54, d2 = 40 Dl.O(d1) = 254163414,472941,265791,147158,80897,254077589,265797,472952,473116,267732,148289,148290,267735,474532,267725,267726,265919,147240,147238,148796,81827,44779,24867,24595,13760,7587,7588,13763,24600,44279,80907,254084489,254118453,266542,266540,254118581,268958,268961,474463,474435,266698,266695,266685,266683,474412,841238,842476,842475,1488766,1488399,846515,838973,472988,472987,474998,474997,842151,842152,1488345,2580650,1486600,840976,477345,477344,845666,1484267,839523,473351,473350,839518,846153,477730,477728,846149,1493815,1493892,1493893,2581045,1487018,1487017,2581043,2575201,2575200,4306827,4330202,2590646,1493623,845978,254157349,2590650,267822939,6873875,6873874,10425834,6886966,6886965,4330787,2591156,2583787,2583788,2584368,4320452,4330178,2590611,1494578,846780,479778,478116,478117,478236,269141,149170,82033,44889,44887,82027,149160,269123,478191,846886,1494750,2585923,2585920,4322905,2586184,1490721,1490722,254328171,4323525,4313493,4313494,4322936,6869843,6869842,10420872,10414689,6865126,4323246,2586248,2586240,2586241,4309677,4312318,4312319,6870395,4331400,2591785,2591786,2591900,2577684,1484717,1484719,2577690,1485664,840415,840416,1485305,1485304,1485312,2578682,2580197,1486293,1486292,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,1485126,840109,840110,1485132,2578410,2596840,2596839,4313072,4313071,2579993,2579991,2576267,1483817,1483816,2576264,4308404,254717047 Dl.O(d2) = 270333517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7887577, s2 = 7635921, dlinesl.size( ) = 58 s1 = 809550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 809550, s2 = 4899800, int(edited[s2]) = 0 s1 = 809550, s2 = 4899800, d1 = 6, d2 = 27 Dl.O(d1) = 21037238 Dl.O(d2) = 201716858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 809550, s2 = 4899800, dlinesl.size( ) = 2 s1 = 809550, s2 = 4899800, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 809550, Dl.E( ) = 58, 2.88e-05 seconds used appending s1 = 11655752, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13342103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6459255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6589233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10155590, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 586017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6707111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6707111, s2 = 6560225, int(edited[s2]) = 0 s1 = 6707111, s2 = 6560225, d1 = 282, d2 = 216 Dl.O(d1) = 257563187,38775556,36887174,28390427,21171386 Dl.O(d2) = 255969640 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8275696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8275696, s2 = 10284010, int(edited[s2]) = 0 s1 = 8275696, s2 = 10284010, d1 = 70, d2 = 94 Dl.O(d1) = 259084190,71034499,58318913,46951997,256169826,21341698,23909650,254947554 Dl.O(d2) = 266904255,266768998,238158808,237433135,236633742,236633741,237433132,238158804,238819445,239426370,239986805,266704470,238158792,266475762,236633726,266633812,237433125,237433126,238158803,238819442,238819439,238158799,237433121,236633733,236633734,266558404,266385186,234792228,235756434,236633736,237433126,238158803,238819443,238819451,238158810,237433135,236633742,235756437,234792229,233734126,265938276,229848213,274314916,219000215,273933446,206579529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8275696, s2 = 10284010, dlinesl.size( ) = 46 s1 = 13302091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 817193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8134150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6540457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6540457, s2 = 768162, int(edited[s2]) = 0 s1 = 6540457, s2 = 768162, d1 = 8, d2 = 13 Dl.O(d1) = 255745608,50498056,42684348,42684347,46270234,46270235,42643192,42643193,268126022,40229943,40229942,50015753,39997738,31320430,23830306,23830307,31320432,39997757,50015772,52669888,52015220,42868996,42868997,255686642,40378229,31684596,29229038,21912654,15830282,10970292,10970293,15830285,21912660,29229046,22520563,16347357,16347359,20969287,15059404,10384855,10384856,15059409,18605557,24113230,27037113,27037112,254800270,24115022,31620443,31381093,23884057,17537527,17537526,23884055,28306407,28306408,24938000,18425568,13087854,8918765,5820314,3630908,3630910,5820319,8918778,13087880,17887562,254625770,25192771,25192770,32903683,41828373,52146405,49428108,46866579,40229900,40229899,50249836,40229937,31543607,24040316,17688464,17688463,24040314,31543604,40229933,48763449,48763450,41477891,41477890,51746992,256745818,38034148,30736629,30736628,39334531,43856498,34585656,28428637,21204896 Dl.O(d2) = 19575889,26298716,257261969,65833017,269304870,54602051,43859101,43859100,54602049,57860050,258014743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6540457, s2 = 768162, dlinesl.size( ) = 14 s1 = 8175042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13207027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13207027, s2 = 1588928, int(edited[s2]) = 0 s1 = 13207027, s2 = 1588928, d1 = 59, d2 = 56 Dl.O(d1) = 15163074,20054172,14368592,9874696,9874697,14368594,20054178,24350032,21138800,15188040,15188039,13648957,254919566,19322463,17459052,12308071,12308070,17459048,18814599,18814598,25404293,21139078,21139077,17160251,12063764,12063763,17160248,23435572,30864853,23790647,17459149,17458989,12308037,12308039 Dl.O(d2) = 28453591,36954123,40121790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13207027, s2 = 1588928, dlinesl.size( ) = 2 s1 = 13207027, s2 = 1588928, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13207027, Dl.E( ) = 60, 1.41e-05 seconds used appending s1 = 10141746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6546341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7597684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7597684, s2 = 3004337, int(edited[s2]) = 0 s1 = 7597684, s2 = 3004337, d1 = 181, d2 = 184 Dl.O(d1) = 268914609,15260939,10529216,6944122,4363950,4363947,6364316,3993251,2393117,1385040,787827,787828,1385048,2393136,3993295,6364411,7570915,11394753,16373187,15296231,15296221,15296217,13536226,9265860,9265863,10533484,6955138,4370031,2620955,2620959,4375532,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614980,4363621,2621315,1513083,1513081,2621308,4376291,6054149,6054150,6957361,4371264,2618744,2618745,4371267,6957368,10549260,10564392,10552224,6959545,4372678,2619507,2619506,4372676,6958134,4371729,2618994,2618995,2619009,1512021,857297,484077,272349,150951,82992,82991,150949,272344,484068,857277,1511970,2618883,2619625,2619624,3795420,3795421,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5958694,9106531,12067707,13525823,255433134,23726390 Dl.O(d2) = 170407252,262454691,146710368,133463999,119600352,105370083,91152310,77236619,64092372,52244971,41907874,32968489,25246363,18675840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7597684, s2 = 3004337, dlinesl.size( ) = 40 s1 = 2135354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339810, s2 = 6910138, int(edited[s2]) = 0 s1 = 10339810, s2 = 6910138, d1 = 79, d2 = 123 Dl.O(d1) = 267974212 Dl.O(d2) = 256935342,84499232,84499231,84499232,98421000,99745875,259991593 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7965453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7965453, s2 = 10347407, int(edited[s2]) = 0 s1 = 7965453, s2 = 10347407, d1 = 28, d2 = 18 Dl.O(d1) = 28796603,37334073,47243981,57858036,256825084,24198897,17829660,12624795,8570867,8570868,12624798,17829665,24198909,22468992,21149879,21149883,25256058,25256060,31536767,28904388,28904386,37443687,31766033,24254073,24254072,31164728,23676423,17356450,12226909,12226908,255552229,31164726,31363338,36866710,256012165,17469180,17469178,23802142,31288485,25256045,18685185,13292227,13292228,18685188,23802439,23676120,21153070,21153068,21152960,15197994,10482504,10482506,15198000,15198536,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862992,16950247,23223429,23218351,16945813,11860108,7926538,7926537,11860107,16945812,254841377,5325572,5325573,8255298,12227168,16947836,11861399,11861398,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,571184,571185,1013311,1777363,3050982,5039483,7927561,11861943,16948658,22048030,16950148,16950145,20935502,15254789,15254788,11815302,7893357,7893353,10524139,10524140,15254649,10542756,10542755,15276526,21243565,28451485,28451387,23677208,23677207,28451457,36951402,37976052,33517283,29673853,22322660,22322661,16949094,16949093,23222130,22322680,255327950,7463700,7463698,11244195,255464915 Dl.O(d2) = 261109417 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 820456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 820456, s2 = 8915188, int(edited[s2]) = 0 s1 = 820456, s2 = 8915188, d1 = 22, d2 = 102 Dl.O(d1) = 21269174 Dl.O(d2) = 266232367,234893723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 820456, s2 = 8915188, dlinesl.size( ) = 2 s1 = 820456, s2 = 8915188, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 820456, Dl.E( ) = 124, 3.39e-05 seconds used appending s1 = 15054628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8244838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8244838, s2 = 14035673, int(edited[s2]) = 0 s1 = 8244838, s2 = 14035673, d1 = 4, d2 = 6 Dl.O(d1) = 258665402,58265602,256947010,28523708,21302172 Dl.O(d2) = 254776884,4389740,4389738,5022642,5022643,7901451,11253094,11253096,10526189,10526188,15257332,12059876,9327201,6109743,6109742,9327198,10710845,10710844,15488912,17385122,23708366,23910522,18958529,13532527,9262553,9262551,13532522,17165052,12068845,8115630,8115629,9327211,6109751,6109748,9327205,255128786,11829545,9247022,6056136,4374611,4374612,6962947,10557209,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752425,1318987,1318052,751991,427187,427188,751994,1318062,2272782,3794300,6058160,6058162,8115702,5199365,3172029,3172030,5199368,8115708,12068955,254403624,14450240,14450241,20144805,20141600,14447444,9939258,9939261,14447446,267998858,35121409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8244838, s2 = 14035673, dlinesl.size( ) = 2 s1 = 8244838, s2 = 14035673, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8244838, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 822065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7882251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7882251, s2 = 7702871, int(edited[s2]) = 0 s1 = 7882251, s2 = 7702871, d1 = 30, d2 = 35 Dl.O(d1) = 9535188,9535190,10397542,6853915,4301299,254488601,10397540,268199891,15074613,10397447,10397445,9535145,9535142,11734228,11734230,8755370,5828870,5828872,8930498,13103667,16138665,16782244,23023317,24685254,23023237,18339946,13895647,13895506,9535109,9535108,13895502,19421846,18446395,13895661,13895658,16782368,11734254,10397548,10397549,6987917,6987916,10592908,15337035 Dl.O(d2) = 263948224,201056032,194673489,186528674,273127424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7882251, s2 = 7702871, dlinesl.size( ) = 26 s1 = 822265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 592464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 592464, s2 = 12280722, int(edited[s2]) = 0 s1 = 592464, s2 = 12280722, d1 = 0, d2 = 7 Dl.O(d1) = 15342829 Dl.O(d2) = 46911010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 592464, s2 = 12280722, dlinesl.size( ) = 2 s1 = 592464, s2 = 12280722, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 592464, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 9494594, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 823002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 823002, s2 = 7006748, int(edited[s2]) = 0 s1 = 823002, s2 = 7006748, d1 = 8, d2 = 58 Dl.O(d1) = 21319878 Dl.O(d2) = 261253007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 823002, s2 = 7006748, dlinesl.size( ) = 14 s1 = 593055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7815250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 823959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 823959, s2 = 309331, int(edited[s2]) = 0 s1 = 823959, s2 = 309331, d1 = 27, d2 = 28 Dl.O(d1) = 27156899,28542497,28542496,255657600,21336986,21336985,268080486,14192504,19813675,14417732,9916188,6516743,6516744,9915711,9915710,10247849,6733185,4218428,2522072,1453378,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,5970416,3733695,2235470,2235472,3733703,5970435 Dl.O(d2) = 64991435,53016360,42576210,33559560,25770199,19130250,13659280,9353523,6126621,6126622,3833685,2296888,2296892,3833702,3833757,2296910,2296915,3833702,6126824,6097886,6097887,6291841,9426746,6176835,6176837,7141000,7141003,10807013,12933989,12933990,15801334,19149937,13674112,9364179,6133845,6133844,9364173,10050704,10050707,14606429,13730009,13730010,19220810,20354072,21621130,21621129,21623396,20118886,14428182,9924831,9924832,14428184,12643335,254126118,6848279,10390694,15067058,11542265,7678951,4858887,4858888,254243558,16559253,11542265,7678951,4858887,4858888,7678952,11542267,16559254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 823959, s2 = 309331, dlinesl.size( ) = 12 s1 = 9667741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9667741, s2 = 15656516, int(edited[s2]) = 0 s1 = 9667741, s2 = 15656516, d1 = 42, d2 = 38 Dl.O(d1) = 87173782,73556278,60810198,60810197,51936453,51936452,58752082,47366074,37460662,28921215,28921214,37460660,30710439,23293965,23293967,30710444,39308199,46751461,36872276,28375615,28375614,36872274,39954871,39954870,39307744,30710003,30710002,37072615,28569789,21342008,255031165,7007090,4404672,4404673 Dl.O(d2) = 161723992,149432316,136180923,122216178,107809730,93387021,258477219,53831140,43306260,34207704,26333646,19605209,14047858,9659537,9659538,14047862,10565625,10565624,15301358,21263933,24538070,32115378,40889083,40889082,40889110,32115392,32115328,24538035,18104651,12837359,8729536,5683164,3535291,3535292,5683168,8729546,12837378,18104690,24538095,32115408,33295085,40889104,50052482,40032370,33884291,26059920,19377768,13861024,13861023,19377766,26059916,33884284,256017169,17515307,16273825,16273823,22442121,29808773,38380801,48291505,50296777,50052419,50052417,61531650,74309044,61531722,50052515,50052514,61531715,60643994,60643993,50052251,40032147,40032149,40032295,31352012,31352011,38380757,255913541,22442102,29808744,38380761,48291469,59678463,70942380,58225308,46857539,36978900,36978901,46857544,58225317,65757909,65757908,72413691,72413690,71958678,59220326,256561378,65757886,71958680,256180716,58225174,58225175,58225191,52812702,52812701,64727965,70942263,58225189,46857434,46857435,47822154,37900258,37900257,38944672,48864431,48549543,38635182,38635181,48549540,42175292,33216513,25469756,18869644,18869645,25469759,33216520,42175300,49239154,39312389,30714444,30714443,39312387,257552011,38635030,38635029,38635031,48549348,59941671,59941741,59941740,59941978,268828170,59941706,72680941,73365003,60620495,49220008,49220009,60620499,58766319,58766318,58766320,71496057,85068425,98994346,112984302,126838447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9667741, s2 = 15656516, dlinesl.size( ) = 2 s1 = 9667741, s2 = 15656516, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9667741, Dl.E( ) = 44, 1.38e-05 seconds used appending s1 = 9081362, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1434764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 826059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8054564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8054564, s2 = 9369620, int(edited[s2]) = 0 s1 = 8054564, s2 = 9369620, d1 = 19, d2 = 17 Dl.O(d1) = 16109859,22247303,29596271,38162831,43213155,34125659,26259909,26259910,26259969,34125715,43213206,41659443,41659442,40286636,31601782,24097700,24097701,256541849,50307974,61788511,74572961,87864292,86698092,257260976,48958420,48958419,48958415,257260842,60606409,49205773,44800701,35376038,27251419,27251420,32817334,25113714,18563477,13191383,13191385,18563482,25113725,32817346,41738327,44800681,49205771,49205770,269652905,55707860,55707864,55707865,48958476,39036628,39036627,48958469,48958470,60354630,73093954,68104967,68104968,68104984,55707871,44800683,44800684,55707874,48958439,48958440,47483817,37577954,32817348,30683018,23266188,255527514,23266187,30683013,27251402,20318622,14581627,14581626,20318620,27251399,35376016,44800680,55707787,257608768,44800628,35375968,35375967,44800627,52053132,52053107,41738305,41738306,52053109,257855138,55707792,44800597,44800598,55707794,55707862,68104988,81594395,81175606,67710182,67710181,55707808,55707809,63872161,63872160,63872167,55707790,44800697,44800698,55369021,55369022,67708693,73093950,60354635,48958479,39036631,39036632,48958480,48958481,48958482,258189233,55370366,44524074,35147465,27061742,20167856,20167855 Dl.O(d2) = 37108043,39379855,30778209,30778208,39379853,256181682,49307562,60709844,73458171,81594405,71571580,58844674,58844675,71571581,61821817,60709877,49307588,39379865,30778215,30778214,39379861,49307581,60709869,71355542,58618425,48860220,38940649,30354423,30354424,38940651,48860224,58232588,46864705,40312715,40312716,38018556,29456567,29456570,31624291,31624292,40312692,50338568,58618386,58618385,71355514,74613653,61821816,50338575,40378492,40378493,50413092,58618371,58674410,255917670,37373713,47283173,58674412,256490392,61607224,61607223,256490390,61506227,74282857,269306596,72052244,59655338,48268672,38358272,38358271,37435373,254911196,42385251,52784466,55743012,55677754,44768871,44768870,46348114,36490394,36490395,46348115,41792564,255651824,36583828,46449487,57805373,59987728,255364280,38679445,30102054,30102053,36612478,46478672,57834550,70536000,59646142,48259030,38348286,29776431,22412213,16248157,16248156,22412212,29776430,255787054,46388411,46500468,57856552,65167070,53379696,53182428,53182417,42733055,42733056,53182419,65167069,73488867,60739824,49336498,39407070,30802494,23374860,255147421,12019672,17105493,23374852,30802472,39407036,49336449,42910885,33865265,26043224,26043225,33865268,256375858,65381257,60580504,49180768,49180767,50205386,40182524,31497752,24000260,17656008,12485330,12485331,17656010,24000264,31497760,31497805,31497798,31497799,39767546,39767545,49787257,58018100,50205419,41419408,41419409,51661188,258273467,50205389,40182528,31497755,31089045,23604614,17291608,12170433,12170434,10700541,10700540,268201297,15128330,21061313,28263659,23604598,23604597,31089019,24000271,17656015,17656016,23604596,31089017,39767533,37266324,37266326,47172413,41419665,41419666,51661393,48310581,38399869,29827524,22460201,22460202,29827527,38399128,38399129,41419661,32560322,32560323,41419344,49761051,39742356,39742357,49761055,51661360,55259039,44411466,44411465,48980535,39057878,30467478,23058548,23058547,30467476,39057874,48980527,60377370,257755974,51661261,41419492,41419494,51661264,41419688,32560347,24909208,18404499,13072641,8908090,5813142,5813141,8908087,13072634,18404483,24909013,24909014,24908980,18404354,18404352,18404417,18404416,18404467,18404466,24909157,29936563,22574132,22574131,29936562,255431402,52673307,52673309,48980484,255866508,38499691,29936573,22574135,16391620,16391622,18271443,24744580,255431408,50904124,48405050,38499590,29936468,29936472,29936609,22574177,16391653,11408352,11408353,15785514,10935742,7235712,7235713,268078457,7295050,7295051,11019388,15895910,21994241,29323460,255431366,29936457,26127940,19433179,13905020,9542816,9542819,255296415,26127959,33483633,33483632,33027666,25301563,18726920,18726921,25301565,25301607,18726952,18726913,18726914,25301549,255653503,18726810,18726822,18726823,255229848,13331473,9108987,5960192,5960191,9108912,5960145,3727273,3727272,5960143,9108908,13331366,18726829,25301444,33027543,41970700,52311353,58166727,46799358,46799359,58166730,48638737,38720905,30141309,30141308,38720903,48638734,52311525,52311524,64163092,64261434,52406202,42062520,42062519,52406200,50577534,40541420,31843338,24323748,24323749,31843342,40541424,43310986,43310985,53835554,62070016,50577824,50577821,62070013,74868282,88504386,88504374,269411048,74868090,74868251,65902574,53835555,50577550,50577549,50577844,50577829,40541717,40541716,50577827,40541859,40541860,50577938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8054564, s2 = 9369620, dlinesl.size( ) = 14 s1 = 7842577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7842577, s2 = 3256317, int(edited[s2]) = 0 s1 = 7842577, s2 = 3256317, d1 = 86, d2 = 90 Dl.O(d1) = 15848636,13641206,9341238,6118660,3828293,2293587,1330790,1330789,2293583,3828284,6118646,9341212,13641166,19105715,15315393,15315392,11458152,7621363,4822042,4822043,7621365,8398628,12426311,17604518,21112145,21112144,17604778,12426505,8398768,8398767,12426501,11183847,11183848,16101180,22236234,17590892,17590893,23933584,23950912,254223398,23251299,28320517,22371325,16216527,11273106,10461370,10461369,15168627,11183890,7420690,4689345,2825594,2825593,4689339,7420676,11183870,16101218,11273256,7483468,7483467,10265996,254084946 Dl.O(d2) = 260584580,102435372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7842577, s2 = 3256317, dlinesl.size( ) = 24 s1 = 826477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9422370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9422370, s2 = 16042826, int(edited[s2]) = 0 s1 = 9422370, s2 = 16042826, d1 = 12, d2 = 11 Dl.O(d1) = 97835579,83974385,83974386,97835585,111760245,122201861,107796601,93374302,79246464,79246463,93374300,107796598,122201857,122201863,107796602,107796603,107796604,122201864,107796606,93374306,79246468,65882159,53814171,53814170,65882157,79246466,259736971,122201865,122201855,107796616,93374310,79246470,65882163,65882162,65885212,53817237,43291999,34194349,34194350,43292000,34194358,26321784,26321775,26321774,34194346,43291995,269142247,34194353,26321781,26321780,34194352,43292005,53817239,256202466,29226510,21910513,21910514,29226511,37788483,35310323,35310319,27190523,20266264,14540609,10004261,6574354,4118225,4118226,6574356,10004260,14540607,14540610,20266266,27190524,35310321,44729821,44729820,44729819,43039445,255830536,26142237,255830534,268071116,13914663,9550109,6266151,3923138,3923137,6266149,254731851,10638493,15393398,21374474,28609362,37119414,47005421,58375558,71091627,259299877,112570597,99145358,85222886,71657458,58936048,51554899,51554898,63273174 Dl.O(d2) = 32484308,32484307,32484304,24842368,24842369,32484306,41332223,41332220,41332221,47020374,58391543,71108348,84671523,98594803,270807340,139828383,152544453,261652638,158121727,145725468,132484609,132484608,132484610,118650012,104470374,90322688,76493697,63446544,51697016,51697017,63446546,257251578,51554894,51554895,60839177,60839178,73588858,87211128,101212083,115290572,261262209,155228461,166914611,177454587,263607875,201809807,207651169,212467214,216404442,216404440,214518728,273660156,204960802,198615609,191125912,182423153,172471267,260937080,148965233,259722030,258461726,78878364,78878365,92990076,107400480,121785049,121785055,121785045,121785046,123669882,109478107,98706893,84778989,84778988,98706892,112702480,109478108,109478109,121785047,112574729,259164224,259164226,126442937,270661010,126566601,112702479,259791774,139930820,261503902,262038084,152531829,139815315,126442945,112574745,98581417,258676948,58379110,47008297,37121737,37121738,37121736,37121735,47008296,58379107,58391534,58391533,71108337,84671509,98594792,112588189,126456295,112588192,98594796,84671511,71108339,255657700,28620798,21383829,15400815,10644577,7028014,267764216,2647828,1530618,1524735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9422370, s2 = 16042826, dlinesl.size( ) = 2 s1 = 9422370, s2 = 16042826, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9422370, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6547281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10201141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 281761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 281761, s2 = 14162737, int(edited[s2]) = 0 s1 = 281761, s2 = 14162737, d1 = 1, d2 = 1 Dl.O(d1) = 152352,152301,152298,275554,490367,869521,1532574,2650589,4418621,7025167,10641073,15396522,21378474,28614296,37125330,47012395,58383604,71100399,67789944,55446793,44596896,35215997,27123289,27123290,35216003,33079849,29510027,22169101,16045704,16045703,22169096,25348540,33079310,38311363,38351393,29779034,22414072,22414073,29779039,23762135,23762134,31246480,256314050,33194369,33725463,25918867,19257042,19257044,25918872,33725472,27212697,27212698,28372407,36869146,38620681,30046961,30046962,35215457,35215458,42153397,52511348,52511347,47827563,47827564,59225535,51958952,41651650,255913756,18514888,13155005,8966569,8966568,11724702,15117680,10427450,6874859,6874860,10427439,15117660,21046899,28246898,36742791,36928335,39725556,36742862,28246951,28246952,36512346,32741962,25051707,18514910,18514912,24908015,32558777,25051697,25051695,28117046,28117047,36589943,46456135,256173130,28220294,21025129,15100984,10415043,6865471,4308795,4308796,254644541,5956461,9103194,13323235,254911327,9077438,10361290,8109050,8109053,12060449,12060450,17156981,16513061,11507817,7655392,4843949,2919155,1693430,1693431,2919160,4843965,7655420,11507857,16513118,22717926,268412448,16513057,22717845,30099851,28124615,20946965,15038398,11506445,11506444,12477972,12477970,17649550,23993807,254791866,39755536,268250576 Dl.O(d2) = 152352,152301,152298,275554,490367,869521,1532574,2650589,4418621,7025167,10641073,15396522,21378474,28614296,37125330,47012395,58383604,71100399,67789944,55446793,44596896,35215997,27123289,27123290,35216003,33079849,29510027,22169101,16045704,16045703,22169096,25348540,33079310,38311363,38351393,29779034,22414072,22414073,29779039,23762135,23762134,31246480,256314050,33194369,33725463,25918867,19257042,19257044,25918872,33725472,27212697,27212698,28372407,36869146,38620681,30046961,30046962,35215457,35215458,42153397,52511348,52511347,47827563,47827564,59225535,51958952,41651650,255913756,18514888,13155005,8966569,8966568,11724702,15117680,10427450,6874859,6874860,10427439,15117660,21046899,28246898,36742791,36928335,39725556,36742862,28246951,28246952,36512346,32741962,25051707,18514910,18514912,24908015,32558777,25051697,25051695,28117046,28117047,36589943,46456135,256173130,28220294,21025129,15100984,10415043,6865471,4308795,4308796,254644541,5956461,9103194,13323235,254911327,9077438,10361290,8109050,8109053,12060449,12060450,17156981,16513061,11507817,7655392,4843949,2919155,1693430,1693431,2919160,4843965,7655420,11507857,16513118,22717926,268412448,16513057,22717845,30099851,28124615,20946965,15038398,11506445,11506444,12477972,12477970,17649550,23993807,254791866,39755536,268250576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 281761, s2 = 14162737, dlinesl.size( ) = 2 s1 = 281761, s2 = 14162737, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 281761, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 596047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7552430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 282341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13303695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13303695, s2 = 14155233, int(edited[s2]) = 0 s1 = 13303695, s2 = 14155233, d1 = 3, d2 = 16 Dl.O(d1) = 7039695,10660060,15420659 Dl.O(d2) = 245028793,245192738,245035149,244860255,244674661,244475607,244262725,244033667,243787395,243522070,243236464,267163208,241870431,241457767,241013159,266914706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13303695, s2 = 14155233, dlinesl.size( ) = 2 s1 = 13303695, s2 = 14155233, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13303695, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 830321, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10148232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10148232, s2 = 12664629, int(edited[s2]) = 0 s1 = 10148232, s2 = 12664629, d1 = 17, d2 = 15 Dl.O(d1) = 255403968,15440561,255835297,37208406,31240409,23756565,17443799,17443798,23770852,23770853,31254959,23770538,17442253,12295314,8334293,5379062,5379061,8334292,5379078,3307651,3307650,5379083,8334328,12298389,8306109,8306110,12298393,17446942,22217603,22217604,22217621,16086174,11172423,7412487,7412489,11172429,16086187,22217643,28636804,21396778,17446024,12297715,8305697,8305700,12297708,17442597,17442666,23771121,31255618,268374576,61425604,269766838,272601143,265037693,208100164,263992965 Dl.O(d2) = 167789322,156193418,143662919,260751377,102405433,260154023,130337466,116500736,102405435,88405103,88405102,102405434,116500735,130337473,143662923,156193415,156193413,261322035,116500732,260751375,143662915,262369187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10148232, s2 = 12664629, dlinesl.size( ) = 14 s1 = 8121960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9660226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10162556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13206787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8141850, s2 = 11078558, int(edited[s2]) = 0 s1 = 8141850, s2 = 11078558, d1 = 67, d2 = 39 Dl.O(d1) = 26338478,19609964,19609963,23318288,26338283,19609707,19609706,26338282,19613358,14054579,14054581,19610775,19127308,19127307,19610740,26339241,25767040,19127321,19127322,19451335,19609214,19609213,14055310,14055309,19450490,26148529,33989521,26339099,19610605,19610606,26339100,26342458,34216148,257265665,43311558,257265921,256185839,26343006,255538029,255305083,14051453,19609622,26338204,256136442,37308149 Dl.O(d2) = 256816382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8141850, s2 = 11078558, dlinesl.size( ) = 26 s1 = 8031046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8031046, s2 = 3931293, int(edited[s2]) = 0 s1 = 8031046, s2 = 3931293, d1 = 20, d2 = 79 Dl.O(d1) = 37823270 Dl.O(d2) = 141678900 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10174344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10174344, s2 = 983876, int(edited[s2]) = 0 s1 = 10174344, s2 = 983876, d1 = 57, d2 = 8 Dl.O(d1) = 55414339,50339047,50339048,44566849,35188589,27099835,20200297,14494501,14494502,20200299,27099836,256294174,34182469,43278938,43300767,34202674,34202675,257239222,33776686,25966889,19300806,14045332,9657617,267867939,3984536,6350521,8030892,11982183,17070922,17398783,15025446,10353291,10353290,15025439,20933537,28110171,36582451,46448040,47277856,47277069,37367116,28826828,25624111,19009505,13567195,9289106,6085151,3807555,3807556,6085157,9289114,13567204,19009515,25624120,25895552,19235585,13742864,13742865,17077280,17077281,23343455,30766663,37367875,28827817,28827816,33701629,33701630,42731418,37367712,37367713,46673726,36787616,28291119,21084523,21084522,28291114,36787613,46673721,58048552,60689345,49287882,39360812,37368001,28827966,21557175,21557176,28827969,37368009,46448035,36582450,33389669,25624096,19009495,13567187,9289103,9289102,9289109,9289110,13567199,19009512,25624117,33389689,33701640,25895542,19235581,19235582,25895548,33701644,42731423,53180797,47277761,37367869,37367868,47277756,46448012,46448011,46673811,47277582,46673802,46673801,58048621,58048546,46673714,46673716,58048548,49295674,49295673,52777110,47277862,37368013,28827971,21557178,15536665,10745105,7099168,7099169,10745109,15536667,21557180,28827973,33389663,42378149,42378169,42378170,52777032,52777143,52777029,42378167,42378165,52777027,42378239,33389751,33389750,36787672,255272268,15145122,15145125,21084588,28291174,36787670,46673803,58048625,70767182,84326281,269514064,47279117,37369553,28829473,28829472,37369551,47279112,257458263,37369556,37369558,37367990,28827956,28827957,37367992,47277849,58048576,46673749,36787633,36787632,46673747,58048573,58668428,71402769,71404494,269318874,58668429,47276946,37366978,255844731,15535433,10744199,10744197,268210097,21558249,21558248,28829099,37369149,47277752,38626383,30052478,30052477,28829451,21558523,15537746,15537747,21558529,28829456,36787369,28290865,21084301,21084300,21558531,15537749,15537750,15537757 Dl.O(d2) = 32598025,24935953,18423922,18423923,18423917,14045404,13086602,8917803,5819584,3630263,2168178,254434583,8917795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10174344, s2 = 983876, dlinesl.size( ) = 2 s1 = 10174344, s2 = 983876, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10174344, Dl.E( ) = 58, 3.91e-05 seconds used appending s1 = 7977380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7977380, s2 = 849522, int(edited[s2]) = 0 s1 = 7977380, s2 = 849522, d1 = 38, d2 = 61 Dl.O(d1) = 50192030 Dl.O(d2) = 47637766,37715346,29154696,21845931,21845930,29154694,37715342,268625273,15775504,15775505,21845899,29154641,37715250,47637622,58064367,58064368,58847209,47462187,256350217,29008636,37156617,47047431,47055848,40263789,31576665,24070874,24070872 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 605095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8064542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7826268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6549126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6460472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6460472, s2 = 662641, int(edited[s2]) = 0 s1 = 6460472, s2 = 662641, d1 = 9, d2 = 6 Dl.O(d1) = 254740767 Dl.O(d2) = 16914496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6460472, s2 = 662641, dlinesl.size( ) = 2 s1 = 6460472, s2 = 662641, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6460472, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 8034024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8034024, s2 = 2415565, int(edited[s2]) = 0 s1 = 8034024, s2 = 2415565, d1 = 35, d2 = 37 Dl.O(d1) = 254705284,14927207,11093610,11093608,15980149,14484200,9965729,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660820,11516529,13318768,13318767 Dl.O(d2) = 43367418,43367419,53891316,65958037,79321808,259741209,83892331,70367785,57676143,46329366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8034024, s2 = 2415565, dlinesl.size( ) = 2 s1 = 8034024, s2 = 2415565, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8034024, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 7958409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7848424, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7811417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7563059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1127437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13258513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13258513, s2 = 841940, int(edited[s2]) = 0 s1 = 13258513, s2 = 841940, d1 = 11, d2 = 4 Dl.O(d1) = 38336402,34966523,26887792,26887794,34966528,26887878,20007407,19668226,14098605,9696829,9696830,14098609,18547282,13178395,13178396,17487382,23824326,30847558,30847559,31635079,26887819,20007350,20007348,26887814,33198077,25451745,18853417,18853418,25451749 Dl.O(d2) = 21664544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13258513, s2 = 841940, dlinesl.size( ) = 2 s1 = 13258513, s2 = 841940, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13258513, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 1150821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 288524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 426330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347046, s2 = 16185091, int(edited[s2]) = 0 s1 = 10347046, s2 = 16185091, d1 = 18, d2 = 16 Dl.O(d1) = 150359843,137318956,123587536,109395709,95141606,81084102,67618414,67618415,67618418,55280501,44436394,35062397,255076788,14404089,14404090,20090654,268221874,26979136,26979135,35062403,44436400,55280507,49919301,48140429,255020008,25323532,25323533,33052021,32345573,24729977,24729978,19171138,19171139,25821581,19171140,13690185,13690184,13690180,13690179,19171133,19873022,14238413,14238412,19873020,26692853,34687298,43962527,44538080,35161437,27074702,27074701,35161436,32331168,256590953,41962632,41962634,52303186,55384393,64176491,64176492,59369418,59369419,63012409,51331518,41146195,41146196,44537981,44537980,51179114,41022759,32230757,32230758,41022760,51179116,62828802,67723849,63012481,63012482,67724007,59369503,59369504,59369361,47979268,47979267,59369359,72101864,65196533,53210823,42761059,42761060,53210825,63528754,63528753,60782205,49381254,39453220,39453221,42629091,42628913,42628914,255871932,25806634,19159330,19159329,25806641,256366740,53076434,50288765,256041462,47982183,40371206,31677395,31677394,40371205,50406357,53076374,42628939,33604214,33604213,33604259,25806655,25806653,33604283,42629027,42628941,42628940,49381112,50288762,61768551,256540462,53076397,65058678,65058715,53076451,257200322,49381245,49381237,39453201,30849332,23419143,17142889,12047958,12047957,17142888,23419141,30849327,25131207,254418686,9000483,254414782,18578297,18578426,18578441,13202834,13202833,18578263,13202840,13202843,18578455,20148549,14453485,14453486,17770292,17770291,19837139,16605882,16605883,22826826,23041793,24083283,24103641,24103642,31580370,24074741,24074742,19703162,14127478,9719340,6393830,6393831,9719344,9719349,14127489,17054908,14127503,9719358,9719359,14127506,19703202,22834113,16613011,11587608,11587603,254414872,38808557,36440990,27981889,26445320,19706288,14129767,11593670,7717494,7717493,11593663,8550281,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129059,19705363,17766907,16165415,11232781,11232777,10898415,10898412,15735976,16621052,14920935,14920933,20817865,27981953,34319729,26441832,254343722,15739079,10900393,7209110,4542229,2730478,2526228,2526227,2526243,2526246,4224885,6742298,10260289,14921094,16548739,13418807,9174772,7459432,4713580,4713581,4712833,4712836,7458314,11237416,12611529,15340355,21310260,28532872,29094097,21796321,15737017,10899059,7208406,7208407,10899063,15737024,18326947,18326948,24817392,32453778,29670130,22318920,22318921,29670132,37644807,29095677,29095676,37644804,29670136,22318925,22318923,29670135,38235517,47551437,48145555,268635992,83853743,83853745,97712606,88086690,74474550,74474551,85852211,84660262,71097377,58380825,47009790,255188324,21376604,15395038,10639805,7024077,7024078,10639807,15395043,268382877,47009799,50210345,40188429,40188430,50210346,54708352,47009787,37122888,37122889,40188427,40188428,50210300,40188372,31503160,31503161,40188374,257081740,74474596,74474172,61691569,61691568,74474171,88086419,102072898,88086407,88086408,102072900,116130839,116131067,102522047,88513900,74877701,62079364,62079365,51396779,41203942,32383624,32383623,255577512,50209714,50209715,61691494,74474097,88086362,88086778,88086779,102073238,88513888,74877688,74877687,88513885,88086423,74474174,61691574,61691572,61691496,61691495,62079350,74474157,61691561,50209774,255188302,31502685,40187818,50209769,61691552,58585835,58585834,71319310,70967926,58251531,46884105,37004940,37004941,46884107,46384424,36524735,28059242,20889213,20889215,28059246,29958701,29958700,31167183,31167182,38523857,31166997,23678765,23678766,31167000,39848925,49871184,61353008,49871524,39849234,31167223,31167221,39849066,39849064,49871342,49871458,39849174,36703324,28212386,28212387,36703327,46590094,57966545,61353296,49871499,39849210,31167210,256507321,256689117,33925566,26092351,26092350,33925568,33925588,33925589,42979018,53453069,49933374,39915112,256923272,22133562,22133563,29469046,35182791,39916545,37207921,36652168,36652169,39915829,48477507,268993231,31239506,23755904,17429292,12284764,8296370,5352115,5352116,8296372,12284767,17429297,23755914,31239600,39915115,49933377,61411951,62216095,62216096,257173768,46976914,37093677,28587495,21356636,15379394,10627770,7014810,4410640,254731413,15379389,256318749,256858154,257469531,37526578,28982637,21700225,21700226,28982640 Dl.O(d2) = 71548917,85119877,99044814,85119870,259329907,260549209,113033303,126886376,113033341,99044832,99044833,99044830,99044831,113033339,126886409,114393068,100369755,86413672,72818551,60081188,48684973,38763209,30179901,22790838,16574841,11555944,7689633,7689632,5552787,3437268,3437265,5552798,4902794,4902795,7742628,11615757,16647804,11624286,7742584,7735481,7735483,11616209,11558675,7691957,7691958,11558681,16578081,18743307,18519018,13157945,8968561,5854780,4867597,2933104,2933103,4867595,7691951,11558666,16578070,19349195,16647978,16647979,11619685,9144186,7738290,4899528,2952892,2952891,2333796,1352668,771593,771594,1265725,1265724,2183119,3651179,5850078,3896969,3896970,6224962,4893913,4893912,7730791,4895353,2950194,2950196,4895286,4895429,4895456,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,4630212,7329539,7329537,10348795,10348796,10349302,11429182,7597906,7597907,11429184,11561633,7694428,4869381,2934211,2934212,4869383,7694430,254631757,3590406,2140567,1236073,700519,393857,393856,700516,1236066,254291145,5764291,4799138,4799139,4861708,7683646,9491966,6260411,6260412,6812838,7581556,4795385,2934186,1701713,967366,967365,1701708,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952285,2954877,2954880,4309629,2576900,1484114,839352,473221,473218,839342,1484081,972255,972256,1710693,2949800,4894754,4818526,4629700,4629701,2893727,2893726,1710272,1710271,2949036,4893547,7730339,11430432,7740273,7740272,10349691,10349689,11419061,7589503,4800702,2893584,1679290,1679291,2893587,4800705,4800681,4800679,7589467,11419018,11417060,7587756,7587757,11417064,7620160,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404475,1685799,2906231,4822800,7622588,11459933,16447678,22635602,30005530,38576283,48489331,48489335,48489334,256569564,86217610,78337010,65058133,53075753,42628189,33603463,25805922,268254880,9368641,6136617,3839261,2300109,2300108,3839259,6136614,6337379,9640297,14023844,9640312,6887634,6887631,10447872,15148815,21089455,28296981,36794034,46680127,58054673,58054658,46680115,36794022,28296977,21089453,21089454,28296978,36794025,257414587,70772897,84331712,98239031,112217492,112217493,126073678,261076751,126073684,126073689,139444897,152169261,160153860,147904939,134786435,134786433,120989868,106736997,260313443,92431057,78394177,65111245,53125487,42674636,33645387,33645386,42674634,53125485,65111244,78394173,78394175,257823509,42674633,33645381,268760333,53125482,65111240,78394167,78394182,78394183,92431067,92431053,92431052,78394160,65111231,53125476,42674629,33645376,25842149,19188311,13703944,9386095,6149206,3847811,2305576,1337865,1337864,2305573,1337867,1337866,1337861,764193,764194,1337863,2305572,3847806,6149192,254305295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347046, s2 = 16185091, dlinesl.size( ) = 8 s1 = 14163144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163144, s2 = 8047291, int(edited[s2]) = 0 s1 = 14163144, s2 = 8047291, d1 = 21, d2 = 44 Dl.O(d1) = 46795134 Dl.O(d2) = 18705686,25278230,33003041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163144, s2 = 8047291, dlinesl.size( ) = 20 s1 = 844379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 844379, s2 = 427014, int(edited[s2]) = 0 s1 = 844379, s2 = 427014, d1 = 3, d2 = 0 Dl.O(d1) = 21709805 Dl.O(d2) = 10846281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 844379, s2 = 427014, dlinesl.size( ) = 2 s1 = 844379, s2 = 427014, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 844379, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8007778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8007778, s2 = 14158409, int(edited[s2]) = 0 s1 = 8007778, s2 = 14158409, d1 = 14, d2 = 18 Dl.O(d1) = 254170369,254170367,2945740,268661758,16631678,15123255,10431065,10431064,15123254,255004924,15863260,14107543,9704070,6382850,4004807,4004808,6382852,254959277,16806961,11752780,7847291,7847292,11752781,16806963,19178723,13695649,13695650,19178726,25831463,27970107,29761615,22399708,16238460,16238462,22399719,29761630,32084123,36428144,268605746,255378560,18080621,24509747,21322840,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080296,24509320,25858242,19200915,19200916,25858243,33664452,42695202,53145727,51613280,41387204,32536702,32536703,41387206,49395797,48165014,41385556,32535058,24891431,24891432,31623309,255926214,18391335,18391339,23385615,17114363,12026785,8085583,5180644,5180645,8085571,12026760,12026996,17114677,12027027,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160049,18390748,13687791,9373884,9373881,13687781,12751061,12751063,9862303,6478388,6478389,9862310,14353673,20037979,23386990,22855383,16629812,11599985,7721902,4887681,2945342,2945341,4887671,7721887,7722159,7722161,11599690,7721698,4887545,4887543,7721693,11599680,16629375,17789336,17789337,24156342,30249682,22855060,21833606,15764826,15764827,12207066,12207065,17332190,17332191,23649167,22857543,21896479,21896480,22857819,16711906,12299591,11670013,7779550,4930526,4930523,267983753,11670308,16711764,15403036,10646347,7566069,4783992,2882754,2882753,4783990,7566064,11388587,7833646,4972590,3003430,3003431,4972594,7833655,11733202,8301358,8301359,12291719,17438020,23765932,31250395,39925964,36652153,36652152,28450980,28450981,32375661,24756580,24756579,32375660,41194604,51385391,51385429,50906003,40789247,32032283,32032282,32375690,32375688,41194642,41194577,41194579,51385367,49326880,39398644,30795697,23369471,23369472,30795701,39398649,49326886,60728973,63074312,51385376,41194615,32375667,24756585,24756586,32375672,32032290,24469992,18049916,12795810,12795811,18049918,24469994,268702137,41194601,41194600,51385385,63074319,76070302,63074339,60728960,51385445,51385446,256929728,48490904,38577657,38577658,48490905,59882448,72620853,72620854,63074322,63074321,76070303,63074332,63074310,51385374,41194584,257016666,51385447,51385405,41194613,41194612,41194616,41194617,51385411,62506571,50906010,40789254,32032286,32032285,255453852,50906011,50906012,62506573,73315011,60728964,256387432,89401325,86219325,72620864,59882451,48490909,256424084,30006763,38577660,48490907,59882444,72620858,72711317,59974274,59974275,72711318,85706891,72121894,72121893,72620860,72121398,59390170,48001652,48001653,41506472,41506473,38690914,38690913,32923105,25208452,25208453,32923107,41852421,52176595,64009641,77140157,64009627,64009626,77021292,72121690,59390554,48002077,38090571,29527018,29527019,38090573,48002079,52090770,41777202,32856597,25149789,18593182,18593183,25149791,32856601,41777207,256929766,59390417,48001943,38090416,38090415,38090521,38090522,48002038,59390426,267973444,38090420,37025917,28527954,28527953,37025914,29526963,267889890,37386298,37386297,47295541,58686393,59390548,59390547,58686443,58686444,53329025,42867671,255891176,65326808,71419682,71419683,76646995,63564063,51781284,51781283,63564062,72121670,59390523,48002042,255453808,22184722,22184721,29526976,38090524,37386316,28846095,21574175,254099768,10755469,15551013,21574179,28846101,268924129,58686395,58503274,58503276,71224818,59390511,52090761,41777197,41777198,52090763,58686437,58269032,58269031,47295560,47295559,58686419,63564044,51781262,51781263,51781290,63564066,58686435,47295584,37386332,37386333,41506457,32623539,32623540,41506459,41506461,46329051,57675845,46329046,46329047,54672698,43930450,34657442,34657441,43930448,54672694,255453780,63564047,70367499,57675867,46329081,36473673,32362296,24745815,18272576,18272577,24745817,30408334,37386305,254165418,15551010,254123574,28846091,34657436,43930438,43930432,254767204,37984302,29421497,22090865,22090866,29421500,28846080,21574170,15551008,254123572,28846076,37386283,46329072,46329073,57675859,70367494,60319823,48921173 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007778, s2 = 14158409, dlinesl.size( ) = 2 s1 = 8007778, s2 = 14158409, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8007778, Dl.E( ) = 20, 1.69e-05 seconds used appending s1 = 11655670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10136657, s2 = 6505839, int(edited[s2]) = 0 s1 = 10136657, s2 = 6505839, d1 = 11, d2 = 13 Dl.O(d1) = 7035172,254498566,1536513,872081,872082,1536515,2656163,4426233,7035183,10654034,14985387,10317156,255001953,20888571,256146369,26113541,33374937,25610115,25610114,19195125,13709177,13709175,19195130,25850593,33655326,34987812,26907242,26907240,34987807,44365764,38779813,30195250,22804369,16586857,14124351,9717304,6392641,6392638,6151789,4011792,4011791,6392677,9717390,13709429,19195523,25851112,33655941,34317278,38172103,256299094,16116468,11194983,7428070,7428071,7428056,7428058,11194960,12805568,12805567,18062265,15700415,10868799,10868800,15700418,21754123,29047483,37595224,47499328,257320198,255336400 Dl.O(d2) = 27110203,255336411,9978782,9978783,14501751,9979452,6559180,4109246,4109245,6559179,6558729,6558730,9978744,12414292,12414293,8390616,8390617,6558749,4108988,4108987,6558748,8390050,5414142,3328145,1957264,1118001,627274,627278,1118013,1957287,3328188,5414259,8390247,12413717,17586749,17587587,12414298,12414296,17587586,23929499,31419665,35200713,27110892,20209890,14502177,9979088,6558951,6558950,9979084,14502169,20209873,27110873,20211546,14503372,255336641,27112797,32811915,32811914,41732429,52047225,52054103,50119748,50119746,61599322,74375466,87977204,257820514,129890217,143219522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10136657, s2 = 6505839, dlinesl.size( ) = 2 s1 = 10136657, s2 = 6505839, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10136657, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 845757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13315467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13315467, s2 = 846634, int(edited[s2]) = 0 s1 = 13315467, s2 = 846634, d1 = 1, d2 = 1 Dl.O(d1) = 10813661,11395279,7571317,7571320,9870039,6483751,6483747,9870028,6905005,5562459,4062775,4062778,6483611,9869865,10884325,15720939,21779876,256355051,35016166 Dl.O(d2) = 10813661,11395279,7571317,7571320,9870039,6483751,6483747,9870028,6905005,5562459,4062775,4062778,6483611,9869865,10884325,15720939,21779876,256355051,35016166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13315467, s2 = 846634, dlinesl.size( ) = 2 s1 = 13315467, s2 = 846634, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13315467, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7883956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7883956, s2 = 11159884, int(edited[s2]) = 0 s1 = 7883956, s2 = 11159884, d1 = 48, d2 = 69 Dl.O(d1) = 256640176,255739989,14369205,14369204,11335198,11335196,11565569,11565570,16585380,16587949,22805367,16592016,14354456,9862998,6478875,4059987,4059986,6478870,9862994,9864336,9864335,9885009,6494877,4069750,2439646,1410539,1410540,2436733,2432899,2432900,1579858,1579855,2726703,4536234,254748179 Dl.O(d2) = 42292278,52678693,64578943,73273713,60529226,49128751,49128750,39201642,255956510,16920193,11841755,7913939,7913941,11841760,16920202,18393711,22843093,22843092,30234178,30234179,37648581,36835259,36835257,31772717,24260475,22847482,16623642,16623644,14452841,14452840,20147777,27040854,35128009,44505644,55351770,67691219,81156695,95213610,109468106,123660565,123660558,123660559,137391789,123660557,109468102,109468103,123660559,137391792,150431729,162560516,162560515,263031027,173590972,162560518,262579843,162560516,162560515,263031027,173590971,162560518,150431732,137391794,123660566,123660565,123660558,123660559,137391792,261751456,137391797,128578116,271482710,73058489,257578909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7883956, s2 = 11159884, dlinesl.size( ) = 14 s1 = 9096156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7588165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13182543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 355164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 850126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1011837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 615985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162124, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 853609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 855096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 855096, s2 = 10138594, int(edited[s2]) = 0 s1 = 855096, s2 = 10138594, d1 = 2, d2 = 40 Dl.O(d1) = 21947271 Dl.O(d2) = 584418,583401,583404,587853,587850,1037811,1037815,1037814,1817622,3050468,5038565,7925907,8014282,8028507,8064487,5157846,3141357,3141358,5157848,8064491,8023024,254381385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 855096, s2 = 10138594, dlinesl.size( ) = 20 s1 = 14242967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14242967, s2 = 13519304, int(edited[s2]) = 0 s1 = 14242967, s2 = 13519304, d1 = 27, d2 = 25 Dl.O(d1) = 46527353,36659887,28183410,28183412,36659888,46527356,48711479,38789320,30204557,254864154,38617938,30043914,22668423,16472890,16472889,254855842,32535328,32535329,30205971,255497127,11574451,7704213,4875902,2938022,2938020,4875898,7704207,11574440,16595843,22814287,23621084,23621087,21246841,15280730,15280728,254342624,8110123,8110124,12061803,12435510,12397040,8378001,5406824,3323924,3323923,5406822,8377996,12397039,17538445,12370202,8358854,8358855,12370206,17538454,12370209,12370210,267812066,12397851,8378519,5407081,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17512402,17149258,254502254,5412415,3327058,3327059,5412419,8387478,12410007,12434311,12434312,13537110,17548110,12378172,8364421,8364424,9245288,9245286,13511810,12384248,8368554,8368555,12384250,17554752,23899714,31393623,25548309,18935820,13500305,9236530,9236526,13500295,16096331,16096334,17409194,12268898,8285095,8285094,12268891,9988039,9988038,14515357,12401673,12259167,8279252,8279253,12259195,17395957,23719805,31206710,39885950,39885951,49906708,255821622,87772301,99310680,85365642,71775791,59033296,59033295,71775789,60197618,48800695,38878325,30292377,30292379,38878308,48800680,60197604,72936885,72936725,68348125,55906371,256770715,27343210,20391117,20391114,27343204,35494001,44954541,55906335,48800721,48800720,60197487,48800612,38878273,30292351,22894002,16664301,11630937,11630936,16664299,22893996,30292345,30292336,29148498,21840363,15770710,15770711,21840368,29148503,37708836,47631148,59033318,71775815,85365662,72936716,257093074,38878246,38878245,47631144,47631145,59033315,50402996,50402997,61893536,74687123,88314628,260013963,86083559,86083558,258146951,48369174,38467668,38467667,48369173,48369065,48369066,59751646,72485956,59751583,59751584,72485957,59751654,48369086,48369087,59751571,59751570,256957625,29910048,29910047,29909981,256415263,48369050,59751634,48369075,48369074,48369062,38467573,29909985,22553261,16376233,11397186,11397185,9938755,9938756,14446798,20140853,27033690,35120587,44498097,49860399,55344402,44498091,35120586,256415257,29909962,35124546,27037438,20144518,20144517,27037436,35124542,44502309,39107245,30510296,30510297,39107248,49037065,59751604,59751603,72485970,81150014,67684142,59440326,48048516,48048519,59440330,53138892,53138891,53138918,42688039,42688040,53138920,65124047,71367918,84944084,71411537,256415680,47286306,268948972,65124021,65124019,78406016,92442004,90050222,90050221,88347875,74719893,74719894,88347877,80352506,80352505,90093965,104226279,118386376,260155480,258916412,71603330,67556408,55212652,256046000,26903584,26903583,34983764,44361593,55212647,67556403,74167756,268205068,49906709,55800958,44871602,44871601,55229949,55229950,67572886,74167754,74167755,87772306,101745179,101820824,87846882,74242239,61463566,61463340,55801034,55801035,49984956,49984957,48980862,48980861,39969954,31295583,31295584,23809713,17476144,17476145,23809715,31295623,39970005,49986044,48980863,39058192,30467739,23162689,16900686 Dl.O(d2) = 35160990,27074332,20178509,20178508,27074330,35160988,39000415,39427933,30823650,23395733,17123890,17123889,23395731,30823648,256514368,27074286,32564969,35160983,40160369,44537518,35160954,35160953,257060884,27074288,20178476,14477710,254692691,6546965,6546978,4101556,4101557,6546980,9961386,14477697,14477696,14477741,14477742,20178507,20178516,14477744,14477745,20178518,20178485,14477718,9961369,6546968,6546969,9961372,14477722,20178491,27074305,35160966,35160969,44537541,44537542,55383796,60476442,49073140,39142959,30544358,29056686,29056685,37605431,44537549,35160968,256751227,269495945,42003320,42003321,257777529,77339340,74154931,74154932,87759316,87759315,101731987,101731990,87759365,87759326,74154930,74154929,87759324,101732000,115777264,114243765,100209363,86241195,86241196,100209365,114243767,119236242,105043943,105043942,119236240,115777234,101731974,87759307,259494443,115777236,129540578,260624943,100209380,86241211,72638730,72638729,86241210,86240241,72637518,59895552,59895551,48503307,48503308,48503302,38588370,30015932,30015931,32232199,24634785,24634786,32232201,41024485,257631070,51533051,41312604,41312605,51533053,63249323,76268010,90079852,100208571,86240231,72637509,59895544,48501676,48501677,59895547,258181295,60197713,60197611,48800685,48800686,60197494,60197597,72936881,86535195,95928475,81872425,68348121,68348109,55906360,55906359,55906383,44954569,44954568,55906380,66875713,66875712,80305349,68348190,68348191,81872505,95928563,99310688,99310687,107916843,93482593,79348742,65983350,65983349,72936753,73222946,60476412,60476413,73222950,86271694,86271696,95928440,95928442,86535276,72936973,60197692,48800738,38878380,38878381,48800764,48800648,38878333,30292380,30292379,38878308,48800680,60197604,72936885,72936725,72936722,86535053,84348608,70789835,70789834,258296582,60586639,49186545,49186544,39260717,30665155,30665153,39260712,49186547,60586643,73330881,84612324,84612323,98536683,258690698,139775729,139775717,128269835,271352679,86414041,86414042,83880286,77232316,64087806,52240366,41903355,32964386,25242643,25242642,32964384,41903352,52240363,64087803,77232315,67684137,55344409,55344410,67684138,70407631,70407564,70407566,57713596,57713597,57713581,46364143,36505894,256811917,36505884,46364125,57713555,57713408,46364006,36505780,36505759,36505760,46363973,57713384,48685435,48685434,38763655,30180295,22791192,16575145,11556211,11556210,16575143,22791186,30180289,38763651,46364126,46364127,57713556,70407633,72125119,59394077,48005632,38094104,29530298,29530299,38094107,48005636,59393925,48005545,48005546,48276013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14242967, s2 = 13519304, dlinesl.size( ) = 2 s1 = 14242967, s2 = 13519304, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14242967, Dl.E( ) = 28, 1.69e-05 seconds used appending s1 = 13384989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6455149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 363167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 857436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 108636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 449797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 449797, s2 = 13243370, int(edited[s2]) = 0 s1 = 449797, s2 = 13243370, d1 = 19, d2 = 17 Dl.O(d1) = 2778224,1611739,1611740,1611755,916967,916966,1611753,2778251,4613840,7310078,11035410,15913916,17296880,22513622,17091198,12003879,12003880,17091201,16344183,16344184,22517612,21560384,21560383,16334789,12176042,12176040,17297454,14435652,254395830,11402976,11402975,16384078,22563708,23856314,17512980,17512981,20199104,20199105,22481628,17301986,17301985,23615075,23633681,17330149,17330148,20123875,22007710,15906710,11028222,11028221,15906708,254586508,23005240,16765763,11718747 Dl.O(d2) = 4613800,7310006,11035304,15913769,22015391,255159326,267907690,254265896,23606907,23362745,23362746,23566826,29871100,31122385,30290362,29750635,22390795,22390796,29750636,23362796,17093915,12007139,8063768,5156965,5156964,8063764,12007137,17093912,22496498,16322562,11355797,7544856,7492569,4735853,4735854,7492577,11285932,16234002,22394032,28772407,23224612,23224611,22496408,22496409,29859826,22514634,22514635,16341109,16341113,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,2799019,4646752,7356043,11091759,11352292,11352294,16317079,22490112,29846900,29846899,254389184,16318182,11353043,7543382,4771255,4771257,7543387,11352938,11352937,16318085,22491355,16769411,11723421,10587306,6984162,6984164,10587314,10587193,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,15143049,15143051,21081776,21295297,22481169,29847047,29847030,22481144,16309862,16309861,22481142,23356566,17088351,16345446,16345445,22518868,23605853,23605854,268081446,37016264,28517578,21296547,15329461,10587652,10587651,15329459,21296543,22023123,22023122,29354182,30422753,23886334,17539858,17539860,23857820,254262420,12350874,12350875,16337367,17514744,12350919,8344564,8344563,12142697,14570252,11035251,11035250,7628209,7628210,11468119,8174577,8174574,12144827,11364906,7550527,7550526,6550290,4103560,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,1871643,1067595,1067596,1871649,3197481,4774544,4774543,7549764,11363695,16333034,11367901,11367902,14432188,254080080,17259052,23570256,23631874,22507012,22507011,17331083,12206073,8237961,5310455,5310454,8237958,10909118,254397128,14435653,17322818,23638502,254392314,33025563,254183004,13330139,13330140,18725348,23856358,17513020,17513019,23856356,22514608,22514607,29872773,38432872,39730876,31052202,23568011,23568012,29864418,22502569,17341235,17341236,22497146,22496678,22496679,29860023,29858055,22493999,22493998,22510790,22510792,29870091,23589189,23589190,28312962,22510683,22510682,17277409,12157049,12157048,12157062,17277439,23589232,20126288,20126286,16873998,11804449,7884367,7884368,11804451,16873999,16348701,11376144,7557789,7557788,11376143,254074322,7547134,10901325,12349967,8343960,8343961,10693768,7064876,4448187,2672425,1548088,1548089,2672428,4448194,7064895,7550592,4775047,4775049,7255579,10961344,9502072,6232460,3902054,2336967,2336966,3902049,3902101,3902102,6232563,9502261,13851600,19365122,24189689,24189691,31697505,38393151,38393150,48303423,256438060,23362973,23362972,20818806,14921669,14921670,20818809,17488863,12331002,8330027,5376231,3305908,3305909,3305916,3305917,5376243,8330046,12331026,13282913,9066666,9066665,13282911,18675388,25245781,23189800,23189799,19685594,19685595,26422592,32138697,40916196,38013573,29451480,29451479,38013572,47927786,39205143 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354118, s2 = 10360589, int(edited[s2]) = 0 s1 = 10354118, s2 = 10360589, d1 = 37, d2 = 50 Dl.O(d1) = 55743236,68141137,68141140,55743239,55743238,68141139,72671217,59931477,48538504,256427323,22674321,256970475,40014167,40014166,257650699,257086012,16943199,23215274,28278626,21074340,21074339,28278624,23214914,16942885,11857893,7924830,7924831,255138123,16943621,16943622,22855990,16630312,11600350,7722169,7722168,10481119,10481120,15195428,15195424,15195425,21148953,23215984,16943797,11858602,7925353,7925352,11858598,16943794,20189359,20189358,16942739,16942738,23182134,23182133,30600700,255523526,260030717 Dl.O(d2) = 231614724,230215979,230215977,231614720,266529581,266414810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354118, s2 = 10360589, dlinesl.size( ) = 40 s1 = 9739085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6491444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 735244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2723063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2723063, s2 = 16047785, int(edited[s2]) = 0 s1 = 2723063, s2 = 16047785, d1 = 0, d2 = 0 Dl.O(d1) = 18383993,13058185,13058184,18383988,24882328,18405831,13073507,13073506,18405827,24911081,32525989,24882395,18384049,13058227,8898151,8898152,13058231,18384054,24882314,24883120,18384683,18384682,24882386,24882387,18405903,18384289,18384288,18405805,13073488,13073487,18405800,18405885,13073550,13073551,18384117,13058273,8898186,5806413,5806412,8898177,13058265,18384041,24882378,24911113,24882667,18384347,18384346,18384311,13058713,8898476,8898477,8908772,5813597,5813596,8908766,8898133,8898132,13058204,8898271,5806465,267856167,2162712,2162713,3621731,5806492,8898311,13058315,13058416,8898257,5813559,5813560,8908713,13073569,18384295,13058410,13058408,13073576,13073575,18405908,18409722,24911127,24882399,18384057,13058233,13058232,18384056,18384653,13073477,8908652,5813532,3627203,3627202,267925475,13076312,13076316,18409597,18409709,18409708,24916187,32568944,32568940,32568941,41429074,51670716,63413474,53214852,42765059,257236437,65200630,76355384,76355383,76135629,258975113,63413469,51670704,51670705,63129737,63129738,76135646,73501443,60752468,60752467,73501442,87120221,94384613,80330031,66902795,66902773,66902774,80330008,80330013,94384596,94384615,80330035,66902799,66902796,66902785,66902784,80330019,80330027,80330026,94384607,108671334,108671340,122935598,108671333,108671332,122935594,122935617,108671374,108671372,122935615,136766591,149907364,136766596,136766597,136766593,136766592,149907356,149907357,149907362,136766588,136766589,146696763,133449158,119584280,119584279,133449155,119584276,105353360,91135662,77220954,64078431,52232898,41897325,32959473,32959474,255850534,53055202,53055201,65038017,78317890,91135647,91135668,91135669,105353368,92351573,92351571,257464256,65038031,65038032,78317906,78317886,65038011,53055199,53055198,53055220,257818999,78317903,78317900,77220951,65038012,257226745,33583298,25787532,25787533,33583299,33583301,33583300,42607381,42607371,33583290,25787527,19142810,13668411,9359963,9359964,13668412,19142811,25787529,33583295,25787555,25787554,33583326,42607415,53055243,257645214,33583293,33583294,33583317,42607385,33583306,268758725,53055207,47926153,38011416,38011415,29449161,22115482,16002747,11109815,11109816,16002750,255886527,16002746,11109814,7368379,7368378,11109812,16002742,22115477,16002752,16002751,22115487,29449167,30361007,29449208,22115525,16002774,255449775,22959618,16723768,16723767,16723760,11681995,11681994,11109843,11109844,16002787,16723330,16723295,255508609,11681576,7789664,7789665,11681570,11681622,16723327,16263057,11307218,7507196,7507197,11307220,255125257,7789972,4939144,2980480,1730189,983590,983591,1730192,2980488,4939154,7789985,11682018,16723786,11682023,11307143,8323051,5370572,3301555,1941789,1109198,1109197,1941786,3301550,5370562,8323031,12322098,255561869,30361014,30361015,38947101,48866863,60259879,72053888,59319183,47926178,47926177,59319182,70304844,57614266,57614267,70304843,57614264,57614263,46269728,36417128,27959169,20797532,14904440,10247699,6733069,4218356,2522039,254320653,2522038,2522037,4218354,6733066,10247694,14904432,20797510,20797511,27959116,20797494,20797493,20797523,14904434,10247695,10247696,14904436,20797527,27959111,27959112,36417063,268926463,28952987,28952988,256267087,27959159,36417114,27959158,20797525,20797524,268900477,36570259,28099138,28099139,36570261,46434776,39840803,31158237,23670224,268436803,28099140,28099070,28099069,28099072,20923588,15016143,10344353,6810310,4271437,2553759,2553760,4271441,6810316,7479071,7479072,11266374,9742331,6406146,6406150,4019094,4019095,6406191,255263149,255019990,255813910,268378934,24245928,254818694,11266440,11266442,13455473,12225526,8254252,8254254,7479945,4727174,2848125,1652475,939867,529886,296980,296976,529869,939836,1652413,2848018,4726994,254776241,10500960,15223368,21185233,28406424,36903753,34668853,255386032,23673068,255020910,28124507,20946867,15038287,10365787,10365786,15038286,20946865,24704298,29719537,22363290,21185229,21185228,18885428,18885282,13458085,13458083,18885277,25488036,33237286,42197736,46210460,46210461,42789271,33758405,33758406,42789272,42789249,42789248,33758404,33501251,25723321,19286262,13787424,13787425,19286264,25950501,30567101,30567102,35402406,44828133,55735880,53240487,53240488,47195813,47195814,58587192,256276730,78518158,88076154,268372276,50197735,50197734,61680871,74463760,86690478,73086735,257393036,73086737,269362909,30439687,23032865,255136726,11739587,255512047,30439690,25579447,18971310,18971312,25240339,25240340,267977744,15543076,21565117,28836641,37376863,42169142,42169143,52527209,47286483,47286484,42397978,42397979,47347797,47347795,47347796,53801675,257101036,41721075,32801169,32801170,41721077,52036349,268546358,81010407,254684314,44345646,34968165,26889234,26889236,24767236,24767235,24767240,18289351,12981553,267945828,24767245,29586213,22238470,16103141,16103140,22238467,29586208,32388483,31378716,31378717,40061433,41329976,41329975,51552116,63269813,76290388,90103877,104236721,118396098,130254920,116417687,102325005,88329164,270916837,88329167,74701400,74701401,88329169,95165183,81106502,81106501,81106504,81106499,67640405,55302090,44457511,44457512,257909533,58744743,47357375,37450810,28911219,21636662,255045647,10795795,10839400,7165650,4513116,4513115,7165649,7509853,7509854,4747001,4747000,7509856,11311144,268227179,28978725,23599671,23599670,28911218,37450808,30708346 Dl.O(d2) = 18383993,13058185,13058184,18383988,24882328,18405831,13073507,13073506,18405827,24911081,32525989,24882395,18384049,13058227,8898151,8898152,13058231,18384054,24882314,24883120,18384683,18384682,24882386,24882387,18405903,18384289,18384288,18405805,13073488,13073487,18405800,18405885,13073550,13073551,18384117,13058273,8898186,5806413,5806412,8898177,13058265,18384041,24882378,24911113,24882667,18384347,18384346,18384311,13058713,8898476,8898477,8908772,5813597,5813596,8908766,8898133,8898132,13058204,8898271,5806465,267856167,2162712,2162713,3621731,5806492,8898311,13058315,13058416,8898257,5813559,5813560,8908713,13073569,18384295,13058410,13058408,13073576,13073575,18405908,18409722,24911127,24882399,18384057,13058233,13058232,18384056,18384653,13073477,8908652,5813532,3627203,3627202,267925475,13076312,13076316,18409597,18409709,18409708,24916187,32568944,32568940,32568941,41429074,51670716,63413474,53214852,42765059,257236437,65200630,76355384,76355383,76135629,258975113,63413469,51670704,51670705,63129737,63129738,76135646,73501443,60752468,60752467,73501442,87120221,94384613,80330031,66902795,66902773,66902774,80330008,80330013,94384596,94384615,80330035,66902799,66902796,66902785,66902784,80330019,80330027,80330026,94384607,108671334,108671340,122935598,108671333,108671332,122935594,122935617,108671374,108671372,122935615,136766591,149907364,136766596,136766597,136766593,136766592,149907356,149907357,149907362,136766588,136766589,146696763,133449158,119584280,119584279,133449155,119584276,105353360,91135662,77220954,64078431,52232898,41897325,32959473,32959474,255850534,53055202,53055201,65038017,78317890,91135647,91135668,91135669,105353368,92351573,92351571,257464256,65038031,65038032,78317906,78317886,65038011,53055199,53055198,53055220,257818999,78317903,78317900,77220951,65038012,257226745,33583298,25787532,25787533,33583299,33583301,33583300,42607381,42607371,33583290,25787527,19142810,13668411,9359963,9359964,13668412,19142811,25787529,33583295,25787555,25787554,33583326,42607415,53055243,257645214,33583293,33583294,33583317,42607385,33583306,268758725,53055207,47926153,38011416,38011415,29449161,22115482,16002747,11109815,11109816,16002750,255886527,16002746,11109814,7368379,7368378,11109812,16002742,22115477,16002752,16002751,22115487,29449167,30361007,29449208,22115525,16002774,255449775,22959618,16723768,16723767,16723760,11681995,11681994,11109843,11109844,16002787,16723330,16723295,255508609,11681576,7789664,7789665,11681570,11681622,16723327,16263057,11307218,7507196,7507197,11307220,255125257,7789972,4939144,2980480,1730189,983590,983591,1730192,2980488,4939154,7789985,11682018,16723786,11682023,11307143,8323051,5370572,3301555,1941789,1109198,1109197,1941786,3301550,5370562,8323031,12322098,255561869,30361014,30361015,38947101,48866863,60259879,72053888,59319183,47926178,47926177,59319182,70304844,57614266,57614267,70304843,57614264,57614263,46269728,36417128,27959169,20797532,14904440,10247699,6733069,4218356,2522039,254320653,2522038,2522037,4218354,6733066,10247694,14904432,20797510,20797511,27959116,20797494,20797493,20797523,14904434,10247695,10247696,14904436,20797527,27959111,27959112,36417063,268926463,28952987,28952988,256267087,27959159,36417114,27959158,20797525,20797524,268900477,36570259,28099138,28099139,36570261,46434776,39840803,31158237,23670224,268436803,28099140,28099070,28099069,28099072,20923588,15016143,10344353,6810310,4271437,2553759,2553760,4271441,6810316,7479071,7479072,11266374,9742331,6406146,6406150,4019094,4019095,6406191,255263149,255019990,255813910,268378934,24245928,254818694,11266440,11266442,13455473,12225526,8254252,8254254,7479945,4727174,2848125,1652475,939867,529886,296980,296976,529869,939836,1652413,2848018,4726994,254776241,10500960,15223368,21185233,28406424,36903753,34668853,255386032,23673068,255020910,28124507,20946867,15038287,10365787,10365786,15038286,20946865,24704298,29719537,22363290,21185229,21185228,18885428,18885282,13458085,13458083,18885277,25488036,33237286,42197736,46210460,46210461,42789271,33758405,33758406,42789272,42789249,42789248,33758404,33501251,25723321,19286262,13787424,13787425,19286264,25950501,30567101,30567102,35402406,44828133,55735880,53240487,53240488,47195813,47195814,58587192,256276730,78518158,88076154,268372276,50197735,50197734,61680871,74463760,86690478,73086735,257393036,73086737,269362909,30439687,23032865,255136726,11739587,255512047,30439690,25579447,18971310,18971312,25240339,25240340,267977744,15543076,21565117,28836641,37376863,42169142,42169143,52527209,47286483,47286484,42397978,42397979,47347797,47347795,47347796,53801675,257101036,41721075,32801169,32801170,41721077,52036349,268546358,81010407,254684314,44345646,34968165,26889234,26889236,24767236,24767235,24767240,18289351,12981553,267945828,24767245,29586213,22238470,16103141,16103140,22238467,29586208,32388483,31378716,31378717,40061433,41329976,41329975,51552116,63269813,76290388,90103877,104236721,118396098,130254920,116417687,102325005,88329164,270916837,88329167,74701400,74701401,88329169,95165183,81106502,81106501,81106504,81106499,67640405,55302090,44457511,44457512,257909533,58744743,47357375,37450810,28911219,21636662,255045647,10795795,10839400,7165650,4513116,4513115,7165649,7509853,7509854,4747001,4747000,7509856,11311144,268227179,28978725,23599671,23599670,28911218,37450808,30708346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2723063, s2 = 16047785, dlinesl.size( ) = 2 s1 = 2723063, s2 = 16047785, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 2723063, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 863174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7837896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 864111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 864801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 618506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 865472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10141081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10141081, s2 = 8019975, int(edited[s2]) = 0 s1 = 10141081, s2 = 8019975, d1 = 57, d2 = 70 Dl.O(d1) = 2628729,1517732,860485,485740,273216,151395,83215,45515,25247,25246,45510,83210,151384,273200,485715,860396,1517596,1518043,1518042,2627007,1516958,1516957,860929,860928,860794,485899,485896,860056,860966,1518499,2627072,1516678,1516677,2627070,2629769,2626779,2626780,4385066,6979300,6983084,6980106,4385708,4385709,6980100,10580985,15317794,15317792,15331653,21299578,21282056,15319025,15319024,255394603,15318207,10580041,10580042,10585551,10585552,15326153,21292047,28070145,28070144,28513199,21292476,15326496,15326495,21292473,28513197,29082193,21784344,21784345,28497229,28070117,20898843,20898842,28070116,28512629,37011536,37011541,28520792,255394829,10589019,10589017,11389411,11390431,7568964,4786461,4786460,7568960,10878349,10878350,15714875,15714953,10878426,7192096,4530879,4530823,4530822,4784121 Dl.O(d2) = 255014872,39702062,36721937,28228281,28228282,36721939,39756957,31079374,31079375,36774249,36774250,34120343,26255345,19537072,13989120,13989121,19537074,26255350,21281045,15318292,10580113,6979446,4385184,4385183,6979444,10580110,15318287,21281030,28498696,35111367,27025009,21907012,15825937,10967199,10967198,15825933,21907006,21145582,15192917,10479341,255018157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10141081, s2 = 8019975, dlinesl.size( ) = 2 s1 = 10141081, s2 = 8019975, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10141081, Dl.E( ) = 74, 2.41e-05 seconds used appending s1 = 863795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6555786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350489, s2 = 8208639, int(edited[s2]) = 0 s1 = 10350489, s2 = 8208639, d1 = 24, d2 = 29 Dl.O(d1) = 23252563,16989524,11904124,7961822,5064733,254563335,11904130,255394943,15333131,21301612,24638402,18182620,12895292,8771090,8771091,12895295,18182628,24638412,257721207,75799372 Dl.O(d2) = 262412375,272856428,51210488,258745462,8781416,8781417,255223397,268466065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350489, s2 = 8208639, dlinesl.size( ) = 34 s1 = 13648895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13648895, s2 = 3377230, int(edited[s2]) = 0 s1 = 13648895, s2 = 3377230, d1 = 121, d2 = 25 Dl.O(d1) = 48061630,59452797,59452858,48061683,256392429,22235130,29582855,38148889,48061685,48061647,38148844,256934679,257514709,256392423,22235111,16100175,255458091,29582819,38148828,48061634,38148848,38148847,38148885,29582852,22235129,16100191,11183155,7420211,4689075,254527077,11183158,16100197,22235139,29582868,38148906,48061706,271334466,38148969,38148968,38149091,48061897,38149099,255896233,22235223,29583000,38148874,29582845,22235126,22235127,29582847,38148877,48061680,48061663,38148858,256392431,29582866,38148882,29582849,29582850,268634176,48061891,38149085,29582991,22235219,16100253,16100254,22235222,29582996,38149093,48061900,59453074,59453076,258747811,99738590,85784759,72190752,258747801,72190907,257514721,38148962,29582905,22235159,255081555,255081557,22235161,29582906,256934693,48061702,38148902,38148901,48061666,38149179,29583065,22235276,22235277,29582872,29582873,38148910,257514715,48061709,257514717,48061712,48061982,38149174,29583060,255458107,11183225,7420253,4689096,2825465,2825464,4689087,2825458,2825457,4689085,254769933,16100224,256934695,38148917,38148918,38149177,38148908,29582869,255896241,256934713,38148915,268401713,11183160,254527079,4689077,4689106,2825470,1639365,254236383,4689102,7420259,7420250,7420249,11183222,16100282,11183220,7420246,254352265,254352263,7420243,255081563,22235250,29582876,255458095,11183164,7420215,7420214,11183162,16100204,255896221,16100288,16100289,22235273,29583057,38148913,29582874,22235282,16100300,16100299,22235281,268634181,255896239,16100291,11183230,11183231,16100286,16100284,22235269,22235235,16100266,267974161,7420239,11183207,16100265,255896235,38149115,48061921,59453096,72191049,72190919,256392444 Dl.O(d2) = 111899950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13648895, s2 = 3377230, dlinesl.size( ) = 2 s1 = 13648895, s2 = 3377230, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13648895, Dl.E( ) = 124, 3.91e-05 seconds used appending s1 = 6446114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6446114, s2 = 6806079, int(edited[s2]) = 0 s1 = 6446114, s2 = 6806079, d1 = 12, d2 = 9 Dl.O(d1) = 254527161,1639622,1639627,2825985,4689789,254512316 Dl.O(d2) = 258713894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6446114, s2 = 6806079, dlinesl.size( ) = 12 s1 = 10333618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8130797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 871035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 665397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 665397, s2 = 703646, int(edited[s2]) = 0 s1 = 665397, s2 = 703646, d1 = 7, d2 = 7 Dl.O(d1) = 23256687,16993549,11908052,7965018,7965017,11908049,16993543,23256677,30672573,39268740,49194893,50336242,40310297,31621878,24116467,24116466,31621883,40310304,50336249,255979192,32218723,24625327,18173010,12888098,8765521,254428935,2115342,3551794,5707548,8765524,12888103,18173019,256072921,35254272,27155293,20243800,20243801,16146386,16146387,22290732,22290733,24979296,255237695,268135777,24979295,32651586,30804675,23376641,23376640,19119125,19119124,25757673,33546441,42562830,53002767,42562873,42562874,39409664,39409665,42562859,42912760,42912759,37827849,37827850,29464371,29464370,23376633,23376632,30804660,39409615,49339095,48646096,38725159,30143788,255492329,11531398,11531397,16545184,22756912,256433725,48646093,46769035,36890779,36890778,28393632,21173938,15214747,10495207,6920719,4347883,2604084,1502854,851964,481207,270842,150148,82598,45199,25102,25104,45205,82609,150155,270855,481221,481175,270814,270812,481173,851905,1502689,1502688,2603855,4347583,4347774,2604000,1502804,851928,481188,270823,270822,481185,851926,1502801,2603994,4347766,6920536,254493066,4347509,4347510,254329699,1502693,851847,481144,270799,270798,270833,270794,150122,82585,45190,45191,45201,82602,150151,270846,481210,851968,1502648,1502649,2603797,1502806,851930,851931,1502807,2604005,4347780,6920548,10494959,15214041,15214040,15214068,21173027,15214058,10494614,10494612,15214055,21173023,28392377,36889251,46767425,58135111,46768397,36890097,36890096,46768394,46767752,36889528,36889529,28393172,21173607,21173608,28393175,36890252,46768534,58136271,61399357,58136266,58135459,46767759,36889535,36889534,256841552,58136180,46768428,36890146,28393088,28393086,36890143,36890063,28393026,21173524,15214472,15214470,21173520,28393022,268913145,36890209,28393144,21173593,15214512,15214510,21173588,28393136,36890201,46768478,36890185,36890186,46768480,256531160,36890184,28393118,21173578,15214505,15214504,21173575,28393114,36890181,256806574,28393071,28393070,36890128,46768417,58136166,70850542,58136228,58136226,70850558,70850557,84408222,98318220,84408266,84408265,84959936,71385308,66009039,53938688,53938685,66009038,60142873,48748462,38828526,30245135,30245136,38828530,48748472,60142884,72879337,86474817,88104404,88104351,74492347,74492345,88104348,102091108,112871742,100431974,100431975,88104409,88104410,98355535,102091114,88104355,74492382,61710153,50229996,50229995,61710151,74029684,61249744,58135109,58135108,50229981,50229980,61710131,74492365,88104376,101757782,88104413,74492410,61710177,255843828,24021824,24021822,31523430,255843826,50229994,61710148,74492381,88104391,86475038,72879615,60143148,48748807,38828929,38828928,48748804,60143142,58774895,58774894,60537144,60537143,73281268,60537076,60537075,60537067,49137091,39210321,30614030,30614031,39210325,49137094,60537071,70849529,58135214,58135213,70849523,58135205,58135206,70849525,84407134,98316949,86880356,73268611,60523669,49122598,49122597,60523666,73268607,71388196,58653093,47261311,47261310,46674056,36787994,36787992,46674055,58048815,60537125,73281309,74691997,61898261,61898260,74692002,257414108,86892273,85359841,71769945,59027088,47624271,47624272,47624268,37701278,256834863,28291490,21084843,256296155,37701131,47624083,256296156,21832827,255864409,21832848,15764154,10917549,10917550,15764157,21832851,29140381,29140380,37701180,47624134,59026984,64443522,64443523,71769923,64443621,52568467,52568271,42207648,42207649,42207735,33246036,33246035,42207730,52568363,42207949,33246208,33246103,25495516,25495514,33246098,42207803,42207841,42207840,42207760,33246056,25495484,18890575,13461997,13461998,18890576,25495485,33246057,33246080,33246316,25495699,18890740,18890592,18890593,25495507,25495524,25495634,18890687,13462072,9206049,6027093,3770600,3770597,6027081,9206019,13462035,18890626,25495571,33246165,42207896,41521633,32635594,24965806,18447011,13104096,8930831,8930830,13104094,18447009,18447068,13104125,13104126,18447071,24965879,32635676,32635634,32635633,33246319,33246143,32635825,32635824,33246260,25495644,18890703,268145343,9206015,6027080,3770596,254445613,9206014,13462025,18890611,25495456,25495457,24533813,24533812,32110795,33246310,32635575,24965789,18446993,13104081,13104080,18446990,13104137,8930855,5829097,5829096,8930849,13104131,18447074,256050249,17921509,17921510,24305364,24534130,18101199,12834323,8726960,8726961,12834330,18101185,18101184,24534101,32111039,38644273,30068930,22689852,16489250,11488743,11488744,16489255,18101314,18101313,24534286,18890734,18890733,24534382,24534381,32111055,32111056,40884524,51021612,40884445,32110954,24533976,24533975,32110947,32111030,32111302,24534389,18101408,18101412,24534394,24534076,24533995,18101108,12834274,12834273,18101105,24533991,32110964,32111190,32111189,32110943,24533970,18101090,12834264,12834265,13147398,13147399,13147403,18462997,18101138,18101139,18101080,12834258,12834259,12834305,18101162,18101173,24534089,24534266,18101290,18101291,24534041,24534040,32110991,40884473,32111614,24534769,18101783,12834712,12834711,13233454,13233451,18616800,16172604,16172605,18101397,254427264,24534007,18101114,18101113,24534004,24985386,24985388,32110983,24534017,18101120,18101118,18101841,12834756,8727236,8727237,12834760,18101843,13147431,8960861,5849056,3650249,3650251,5849061,8960869,13147443,18505234,25039296,32110918,24985431,18463007,13116082,13116083,18463012,18462943,18462944,24985312,24985313,32110966,32110967,36890400,28393302,24534874,18101887,12834781,8727251,5681283,5681282,8727248,12834774,18101872,24534860,24985420,18462993,13116076,13116075,18462987,24985409,32659193,24985371,18462964,13116065,13116064,18462960,24985367,25039258,18505200,13147421,13147422,13147437,8960864,8960863,13147433,18505221,25039281,24534832,24534831,24534837,24534836,24985336,18462938,13116055,8939145,8939143,13116048,18462924,24985320,24985359,18462952,18462951,24985354,255217128,12834777,12834764,12834763,18101849,18101869,24534854,32111698,32659221,32659220,32659238,24985406,24985405,32659233,41549432,32659202,24985379,18462971,18462972,24985384,32659210,32726618,25039276,21173699,15214600,15214601,18505224,25039280,25039279,28393311,21173723,18101854,18101855,24534841,25039251,25039249,24985500,18463061,18463064,24985507,32659329,24985579,18463107,13116137,8939173,8939175,13116143,13116170,18463149,18463073,18463072,24985376,24985375,32111656,32659352,41549537,51831942,41549457,41549458,41549468,33450389,27133400,24985467,18463037,18463036,24965781,18446986,18446988,24965787,32635572,24985458,18463031,18463032,24985460,21173709,21173708,27133435,32659186,24985350,24985351,24985494,18463052,18463050,24985486,32659301,32659481,32659325,24985551,24985550,18463133,13116158,8939187,5834667,3640790,3640791,5834658,5834656,8939162,13116114,18463079,24985533,268457396,36890394,41549461,32659255,24985438,24985439,27133408,20227421,20227417,27133402,24985611,20227413,20227414,27133395,32659436,41549624,50554694,50554695,58136420,46768670,36890379,36890381,37802571,37802570,37802422,37802423,37802444,41549603,44608537,46768663,41549573,41549571,41549492,41549491,32659367,32659366,41549548,51831999,41549568,32659390,24985565,24985564,24985469,24985468,21920445,255062921,10973882,15835839,21920449,29238988,37802518,47723750,47723851,47723852,59026574,47723714,47723713,268692406,29238928,21920407,15835813,15835811,21920404,29238927,37802461,41549636,32659447,32659448,41549640,37802603,36889350,28392481,28392482,29238981,29238980,37802414,37802549,37802548,47723743,37908098,29339230,22007777,22007774,29339226,37802663,29239131,29239132,29239063,21920511,15835870,10973896,7263568,4580754,4580757,7263549,7263548,10973858,10973871,15835829,19221624 Dl.O(d2) = 23256687,16993549,11908052,7965018,7965017,11908049,16993543,23256677,30672573,39268740,49194893,50336242,40310297,31621878,24116467,24116466,31621883,40310304,50336249,255979192,32218723,24625327,18173010,12888098,8765521,254428935,2115342,3551794,5707548,8765524,12888103,18173019,256072921,35254272,27155293,20243800,20243801,16146386,16146387,22290732,22290733,24979296,255237695,268135777,24979295,32651586,30804675,23376641,23376640,19119125,19119124,25757673,33546441,42562830,53002767,42562873,42562874,39409664,39409665,42562859,42912760,42912759,37827849,37827850,29464371,29464370,23376633,23376632,30804660,39409615,49339095,48646096,38725159,30143788,255492329,11531398,11531397,16545184,22756912,256433725,48646093,46769035,36890779,36890778,28393632,21173938,15214747,10495207,6920719,4347883,2604084,1502854,851964,481207,270842,150148,82598,45199,25102,25104,45205,82609,150155,270855,481221,481175,270814,270812,481173,851905,1502689,1502688,2603855,4347583,4347774,2604000,1502804,851928,481188,270823,270822,481185,851926,1502801,2603994,4347766,6920536,254493066,4347509,4347510,254329699,1502693,851847,481144,270799,270798,270833,270794,150122,82585,45190,45191,45201,82602,150151,270846,481210,851968,1502648,1502649,2603797,1502806,851930,851931,1502807,2604005,4347780,6920548,10494959,15214041,15214040,15214068,21173027,15214058,10494614,10494612,15214055,21173023,28392377,36889251,46767425,58135111,46768397,36890097,36890096,46768394,46767752,36889528,36889529,28393172,21173607,21173608,28393175,36890252,46768534,58136271,61399357,58136266,58135459,46767759,36889535,36889534,256841552,58136180,46768428,36890146,28393088,28393086,36890143,36890063,28393026,21173524,15214472,15214470,21173520,28393022,268913145,36890209,28393144,21173593,15214512,15214510,21173588,28393136,36890201,46768478,36890185,36890186,46768480,256531160,36890184,28393118,21173578,15214505,15214504,21173575,28393114,36890181,256806574,28393071,28393070,36890128,46768417,58136166,70850542,58136228,58136226,70850558,70850557,84408222,98318220,84408266,84408265,84959936,71385308,66009039,53938688,53938685,66009038,60142873,48748462,38828526,30245135,30245136,38828530,48748472,60142884,72879337,86474817,88104404,88104351,74492347,74492345,88104348,102091108,112871742,100431974,100431975,88104409,88104410,98355535,102091114,88104355,74492382,61710153,50229996,50229995,61710151,74029684,61249744,58135109,58135108,50229981,50229980,61710131,74492365,88104376,101757782,88104413,74492410,61710177,255843828,24021824,24021822,31523430,255843826,50229994,61710148,74492381,88104391,86475038,72879615,60143148,48748807,38828929,38828928,48748804,60143142,58774895,58774894,60537144,60537143,73281268,60537076,60537075,60537067,49137091,39210321,30614030,30614031,39210325,49137094,60537071,70849529,58135214,58135213,70849523,58135205,58135206,70849525,84407134,98316949,86880356,73268611,60523669,49122598,49122597,60523666,73268607,71388196,58653093,47261311,47261310,46674056,36787994,36787992,46674055,58048815,60537125,73281309,74691997,61898261,61898260,74692002,257414108,86892273,85359841,71769945,59027088,47624271,47624272,47624268,37701278,256834863,28291490,21084843,256296155,37701131,47624083,256296156,21832827,255864409,21832848,15764154,10917549,10917550,15764157,21832851,29140381,29140380,37701180,47624134,59026984,64443522,64443523,71769923,64443621,52568467,52568271,42207648,42207649,42207735,33246036,33246035,42207730,52568363,42207949,33246208,33246103,25495516,25495514,33246098,42207803,42207841,42207840,42207760,33246056,25495484,18890575,13461997,13461998,18890576,25495485,33246057,33246080,33246316,25495699,18890740,18890592,18890593,25495507,25495524,25495634,18890687,13462072,9206049,6027093,3770600,3770597,6027081,9206019,13462035,18890626,25495571,33246165,42207896,41521633,32635594,24965806,18447011,13104096,8930831,8930830,13104094,18447009,18447068,13104125,13104126,18447071,24965879,32635676,32635634,32635633,33246319,33246143,32635825,32635824,33246260,25495644,18890703,268145343,9206015,6027080,3770596,254445613,9206014,13462025,18890611,25495456,25495457,24533813,24533812,32110795,33246310,32635575,24965789,18446993,13104081,13104080,18446990,13104137,8930855,5829097,5829096,8930849,13104131,18447074,256050249,17921509,17921510,24305364,24534130,18101199,12834323,8726960,8726961,12834330,18101185,18101184,24534101,32111039,38644273,30068930,22689852,16489250,11488743,11488744,16489255,18101314,18101313,24534286,18890734,18890733,24534382,24534381,32111055,32111056,40884524,51021612,40884445,32110954,24533976,24533975,32110947,32111030,32111302,24534389,18101408,18101412,24534394,24534076,24533995,18101108,12834274,12834273,18101105,24533991,32110964,32111190,32111189,32110943,24533970,18101090,12834264,12834265,13147398,13147399,13147403,18462997,18101138,18101139,18101080,12834258,12834259,12834305,18101162,18101173,24534089,24534266,18101290,18101291,24534041,24534040,32110991,40884473,32111614,24534769,18101783,12834712,12834711,13233454,13233451,18616800,16172604,16172605,18101397,254427264,24534007,18101114,18101113,24534004,24985386,24985388,32110983,24534017,18101120,18101118,18101841,12834756,8727236,8727237,12834760,18101843,13147431,8960861,5849056,3650249,3650251,5849061,8960869,13147443,18505234,25039296,32110918,24985431,18463007,13116082,13116083,18463012,18462943,18462944,24985312,24985313,32110966,32110967,36890400,28393302,24534874,18101887,12834781,8727251,5681283,5681282,8727248,12834774,18101872,24534860,24985420,18462993,13116076,13116075,18462987,24985409,32659193,24985371,18462964,13116065,13116064,18462960,24985367,25039258,18505200,13147421,13147422,13147437,8960864,8960863,13147433,18505221,25039281,24534832,24534831,24534837,24534836,24985336,18462938,13116055,8939145,8939143,13116048,18462924,24985320,24985359,18462952,18462951,24985354,255217128,12834777,12834764,12834763,18101849,18101869,24534854,32111698,32659221,32659220,32659238,24985406,24985405,32659233,41549432,32659202,24985379,18462971,18462972,24985384,32659210,32726618,25039276,21173699,15214600,15214601,18505224,25039280,25039279,28393311,21173723,18101854,18101855,24534841,25039251,25039249,24985500,18463061,18463064,24985507,32659329,24985579,18463107,13116137,8939173,8939175,13116143,13116170,18463149,18463073,18463072,24985376,24985375,32111656,32659352,41549537,51831942,41549457,41549458,41549468,33450389,27133400,24985467,18463037,18463036,24965781,18446986,18446988,24965787,32635572,24985458,18463031,18463032,24985460,21173709,21173708,27133435,32659186,24985350,24985351,24985494,18463052,18463050,24985486,32659301,32659481,32659325,24985551,24985550,18463133,13116158,8939187,5834667,3640790,3640791,5834658,5834656,8939162,13116114,18463079,24985533,268457396,36890394,41549461,32659255,24985438,24985439,27133408,20227421,20227417,27133402,24985611,20227413,20227414,27133395,32659436,41549624,50554694,50554695,58136420,46768670,36890379,36890381,37802571,37802570,37802422,37802423,37802444,41549603,44608537,46768663,41549573,41549571,41549492,41549491,32659367,32659366,41549548,51831999,41549568,32659390,24985565,24985564,24985469,24985468,21920445,255062921,10973882,15835839,21920449,29238988,37802518,47723750,47723851,47723852,59026574,47723714,47723713,268692406,29238928,21920407,15835813,15835811,21920404,29238927,37802461,41549636,32659447,32659448,41549640,37802603,36889350,28392481,28392482,29238981,29238980,37802414,37802549,37802548,47723743,37908098,29339230,22007777,22007774,29339226,37802663,29239131,29239132,29239063,21920511,15835870,10973896,7263568,4580754,4580757,7263549,7263548,10973858,10973871,15835829,19221624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 665397, s2 = 703646, dlinesl.size( ) = 2 s1 = 665397, s2 = 703646, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 665397, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 9103611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 631215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 631215, s2 = 14162553, int(edited[s2]) = 0 s1 = 631215, s2 = 14162553, d1 = 0, d2 = 16 Dl.O(d1) = 16164014 Dl.O(d2) = 32371633,24753212,18278425,18278424,24753211,22647249,16456368,16456367,22647248,30019774,23170796,16907392,16907391,16011632,11116518,11116517,16011622,255887107,256924771,46905048,37027793,28529787,28529518,28529519,37027535,46904835,46904833,44362849,34985001,34985002,28529301,21307025,21307026,28529304,37027332,29183431,21872483,255853617,15650575,15650576,21138324,21138325,21306935,28529180,32176709,24590252,255220317,12866712,18144908,24590249,32176703,40955835,51098061,58256877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 631215, s2 = 14162553, dlinesl.size( ) = 2 s1 = 631215, s2 = 14162553, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 631215, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 7888505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8325374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13244671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7859906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14509007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14493329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14493329, s2 = 10350044, int(edited[s2]) = 0 s1 = 14493329, s2 = 10350044, d1 = 11, d2 = 11 Dl.O(d1) = 255466460,11257485,11257484,16194629,257523689,270323325,258860392,50051620,61531020,74308599,71992712,59256275,47860089,47860090,48161770,38252577,38252578,29854063,22488839,16315990,16315991,22488841,29854066,30742645,39341647,31020493,23539368,269110938,254388943 Dl.O(d2) = 255466460,11257485,11257484,16194629,257523689,270323325,258860392,50051620,61531020,74308599,71992712,59256275,47860089,47860090,48161770,38252577,38252578,29854063,22488839,16315990,16315991,22488841,29854066,30742645,39341647,31020493,23539368,269110938,254388943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14493329, s2 = 10350044, dlinesl.size( ) = 2 s1 = 14493329, s2 = 10350044, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14493329, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 10350045, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 633129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9335556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 875350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7953935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162802, s2 = 9346194, int(edited[s2]) = 0 s1 = 14162802, s2 = 9346194, d1 = 31, d2 = 34 Dl.O(d1) = 51051920,269331054,258721992,259965580,85667815,72081565,72081564,85667813,89388078,269976041,52000504,63815704,76922381,90797028,104973298,119166485,132999771,119166473,104973279,104973280,114399974,100905812,100905811,104973289,90797022,90797023,104973292,119166483,132999778,146231825,158605371,169970075,169970080,158605376,146231833,132999788,119166500,104973311,90797041,76922391,63815710,52000508,41688955,41688954,52000506,63815707,76922387,90797036,104973308,261410143,128443192,141796567,154443621,166179223,158605374,146231831,132999783,119166492,104973302,90797032,76922383,63815705,63815706,76922385,90797034,104973305,119166498,114559005,100528143,100528142,114559003,128443196,141796568,262282401,154443622,154443496,141796396,128442975,128442974,141796387,128442961,114558731,100527843,86566468,72968480,72968479,86566849,100528123,259430682,72968490,72968489,86566870,260047501,100527861,258806652,270863914,259347274,86566467,86566851,100528128,100528140,86566860,72968485,72968484,86566858,100528137,114558992,114558746,114558747,128275676,114399994,100377152,86566466,72968004,258806627 Dl.O(d2) = 255241957,8975967,8975969,13167877,13167931,13167930,18532638,25075359,32772342,25075286,25075285,27199145,25075306,18532580,13167871,8975965,8975966,13167873,10612152,7002507,4401159,4401160,7002513,254905901,5859868,3658144,2188450,254145171,725512,1269937,2188448,3658139,5859857,8975929,5859829,3658127,3658125,5859823,8975915,13167812,18532512,13167837,13167836,18532545,25075204,32772296,25875503,25075293,18532570,13167858,13167857,18532568,18532589,13167885,8975973,8975972,13167883,18532585,15360257,10612157,7002510,7002511,10612160,15360262,21333162,28559205,37060120,46938597,48160329,38251124,29685957,22333747,22333748,29685959,22458920,16290910,267977069,4764278,4764277,4764279,7531518,11334003,11334004,16290911,22458923,16290913,16290914,255468684,22584776,20210485,20210486,27111595,23928386,17586700,12413680,8390228,8390227,12413678,17586697,22405491,16242963,11292554,7497530,4739435,4739436,7497531,11292558,16242969,21847325,15776845,15776843,20209208,14501645,14501646,20209211,27110143,35199984,256754427,40099203,44580145,35202016,35202017,44578750,35200541,29050786,21756670,21756668,29050795,37598758,257474767,71601770,269495584,256632112,33031599,256117082,13340064,9114411,5963382,5963383,9114413,13340067,254297398,19052977,15493353,10714254,7078334,4456358,4456357,7078331,10714249,15493349,21500361,18984513,17617997,12436006,254683728,19156996,25803680,33600842,42625383,35380691,255560292,20322436,18128361,12854530,12854533,18128382,24568947,24569017,18128435,18128434,24569015,29284802,29284803,28293772,21086776,21086775,28293770,21741316,21741317,29032662,37579886,47485313,58867029,71589777,85156772,74723123,61929516,50439064,40405080,31713047,24205441,22540965,16365814,268969164,2883122,2883121,4784443,4784444,4784445,7566607,7637646,4832129,4832130,4832132,4832131,7637644,254390485,1872432,1068026,600234,600232,1068022,1872424,3198581,3051305,3051307,5040048,5277587,267906953,8198395,5268746,3359996,3359995,267905897,3247796,1906531,1088501,1088500,1088523,611162,611163,1086692,1903667,1905459,1087848,1087846,1905455,3219532,3219533,5264489,7492263,8206705,8221490,8221489,7490706,5275226,4735083,2853420,2853419,3260196,3254815,1911832,1911831,2786530,4626541,3253457,1910748,1091137,1091138,627327,348512,191089,104329,104330,191091,348517,627329,615259,615260,267798857,1957465,3328443,3328366,3328365,5414516,3328436,3328435,3328426,3328425,4604599,3258042,3258043,5307916,254586105,5315296,8187308,254391897,3212943,5256804,4620451,4620453,3211790,3211791,5255514,7322791,7317738,4619656,4619658,4617699,4617696,3212367,1881640,1073463,1073462,1881638,3212364,267906281,4622612,2783588,2783590,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783473,4622425,5272407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162802, s2 = 9346194, dlinesl.size( ) = 2 s1 = 14162802, s2 = 9346194, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162802, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 8037642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8037642, s2 = 8563861, int(edited[s2]) = 0 s1 = 8037642, s2 = 8563861, d1 = 18, d2 = 15 Dl.O(d1) = 123735872,259951188,35200827,27111019,27111020,35200828,35201697,27111818,20210694,20210695,14502859,14502860,20210837,27111969,35201845,44579963,55426959,67766634,81232566,95290373,109545171,123736917,123736911,109545164,95290367,95290366,256118376,81232562,95290369,109545165,255655810,85969641,72374944,59640843,59640844,72374947,72374941,72374940,254645898,48254231,38344000,38344001,48254240,48254228,38343991,29772977,22409490,22409491,22409496,254203448,16246126,16246127,22409504,22409507,22409508,29772995,38344008,48254248,48254253,38344012,29772997,22409509,22409510,254645908,48254258,53488178,53488179,65511610,55409380,44561738,35183386,27094613,256752967,55409377,67749870,254916062,77338030,91257557,105479694,105872691,109529557,95274242,95274243,258392146,77339213,77736601,256118370,105479692,105479691,113950219,121736581,107355296,105481072,105481071,105872696,269912984,64554241,52654564,52654563,64554239,77736600,91664447,91664458,105872702,259018856,105872701,91664452,91664451,105872699,120085719,120085715,119180357,104985464,104985463,105872698,105053117,257171732,76995684,257760740,64260847,257433684,42061698,52405486,64260844,259024243,77410580,77410581,259601568,91329153,258974218,133649894,146903065,159191252,260858670,119682038,259601570,77300256,77300255,77410591,77410568,77410569,91329134,91220687,91220686,105443227,91733194,77805458 Dl.O(d2) = 120152550,133993704,142012707,128650514,128650513,142012706,152692355,152692356,164533716,153535377,140858495,127502071,113629866,99615946,259982849,127502069,140858493,147215797,133993695,133993696,147215800,159574422,157685497,157685498,156895842,154656304,154656305,166372880,156895845,156895846,156895852,156895853,168358956,156895849,144485118,144485117,153535371,140858487,127502065,117440881,117440882,131250030,131250032,259563682,136709070,260263586,103304987,103304988,117440889,131250041,144485123,261228402,127502074,113629869,99615947,259982851,259647022,89209618,257188854,62534907,75457385,269983380,113629863,258811780,72081009,59347444,59347445,72081011,85667268,99615950,113629875,127502077,140858507,152692335,152692337,147087993,133844147,133844148,136709050,122877036,122877035,136709049,149851893,149851896,137454022,137454021,136709068,122877065,108612477,259130147,259130143,108612474,122877061,122877056,108612467,94325301,80269026,66839338,66839337,259130141,90771545,84047860,259261197,84860438,80269021,80269022,91169651,91169652,104951202,90771552,76892588,63782589,63782588,76892587,90771551,257450366,74867834,88504029,84860443,71285891,58553920,47164988,47164987,58553918,71285890,84839572,71265326,58533494,58533495,71265327,84839573,83872131,257450354,84839574,255837928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8037642, s2 = 8563861, dlinesl.size( ) = 2 s1 = 8037642, s2 = 8563861, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8037642, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 6554642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13224453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13224453, s2 = 14209152, int(edited[s2]) = 0 s1 = 13224453, s2 = 14209152, d1 = 12, d2 = 3 Dl.O(d1) = 29647187,30206585,38791272,40234308,31548377,24044916,17692576,12513597,8477473,8477474,12513600,17692582,24044924,31548388,40234320,50253724,254864150,39378920,39378921,46906115,37028909,28530860,23977050,17629795,17629794,23977048,30204562,38348563,255190446,16248278,11296400,7499991,7499992,11296402,16248281,22412386,29776674,38348574,30205892,256439531,22814261,16595822,11574425,11574424 Dl.O(d2) = 141643705,154297623,166048512,176687133,176687134,186101894,263926919,207249632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13224453, s2 = 14209152, dlinesl.size( ) = 2 s1 = 13224453, s2 = 14209152, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13224453, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2125579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10148214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6583960, s2 = 6528296, int(edited[s2]) = 0 s1 = 6583960, s2 = 6528296, d1 = 37, d2 = 48 Dl.O(d1) = 256227532 Dl.O(d2) = 255605082,20202146,27101888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6583960, s2 = 6528296, dlinesl.size( ) = 20 s1 = 13232293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6496660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6496660, s2 = 7635330, int(edited[s2]) = 0 s1 = 6496660, s2 = 7635330, d1 = 39, d2 = 23 Dl.O(d1) = 255227519,5750994,3580927,3580926,268549646,18271366,268715683,256953824,29816450,22448521 Dl.O(d2) = 270322224,178874698,262713478 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7813719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7813719, s2 = 6861881, int(edited[s2]) = 0 s1 = 7813719, s2 = 6861881, d1 = 52, d2 = 47 Dl.O(d1) = 1935731,2039240,1935712,1935710,254400159,5567999,5568000,8301372,5570987,5356833,5356832,8302226,5566000,254413295,2007458,1147774,1147773,1935694,1935695,1158567,650023,650021,360565,360570,650065,1158646,2024484,3426127,254446411,2266548,2266547,1705941,1705942,2941664,4029755,3393028,3393029,5504203,3453669,3431559,3431557,5545843,5499573,3389191,1996819,1996817,3389185,5499569,8498118,5540811,3426138,2024492,2024490,3417604,5483981,3374925,3374631,1986026,1986028,3374638,3379018,2036263,2036262,3440855,3380390,3380392,2038505,2038508,2001478,1165338,1165339,2001471,1990718,1764168,1764170,1106725,621009,621007,567935,567938,1007652,649975,649972,1158465,1989639,2024252,2024284,1985907,1985909,1175854,660062,365839,365837,355861,195024,195025,355865,641173,1143047,1007408,1007409,568145,318218,175881,175883,318221,568151,1008083,1768891,2046222,1173268,1173267,2046219,3453215,5016441,5567135,8487887,5488911,5356112,3292082,3292083,3295308,3295307,5360547,5499592,8491881,5564038,5018917,5018916,5496921,3386745,1994936,1140033,639562,639561,1140026,1314036,1314035,2265163,3781303,5536879,3425041,2023512,1157995,1157994,1936505,3292736,5356864,5598253,3732209,3732208,3783611,3783619,3783588,2266483,2266485,1314978,750500,426521,240873,240874,426524,750511,1314999,1158789,1158791,2024717,2024714,3426409,5541058,5557812,3442393,2061515,254283807,5497573,3387364,3387365,2043354,2043353,3449758,3732280,2234612,1313952,1183138,664595,664596,1183140,1314984,2266845,254281135,2038214,3443095,5558379,5564715,3448403,3448401,3470940,2058439,1181100,663388,658943,658944,1173836,2047106,3440527,2035970,2035971,2035982,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617877,1100890,1926797,1768495,1768493,3037718,5019923,3160255,3160254,5179398,3160243,3160244,5179402,8083582,12023676,16893171,11821406,11821407,8260220,258246149,47684820,59084685,59225432,49225811,39298698,257385540 Dl.O(d2) = 259377239,263150645,193863860,263635238,263635236 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7848122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 201125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 201125, s2 = 9660013, int(edited[s2]) = 0 s1 = 201125, s2 = 9660013, d1 = 11, d2 = 19 Dl.O(d1) = 4777774,4777775,7555588,11372999,12172721,254761316,16333291,16333292 Dl.O(d2) = 4780593,2880863,1671725,1671723,2880858,4780588,7560280,11379607,11328883,7525555,7525554,7525570,7525574,7211947,7211951,7301004,7301000,11026758,11375156,11375158,16347530,13330136,13330135,18725344,25299957,22507916,17284281,254123154,254234138,22507921,16340717,11369633,7553402,7553401,254520832,15929917,15929918,22031399,16231631,16231630,22390751,22492104,16318788,16318789,22083247,16788696,11738961,11738959,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,11544968,16562628,22777869,28519102,21298263,15330710,10588342,10588341,15330709,16562068,11544583,7680555,4859797,4859795,7680551,11544575,254838764,16304619,11344448,7538765,7538766,11344450,16304624,22474648,28518092,22019145,15917934,15917933,13102779,8929884,254807202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 881772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13598631, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7830680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 882048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 882048, s2 = 9743279, int(edited[s2]) = 0 s1 = 882048, s2 = 9743279, d1 = 3, d2 = 27 Dl.O(d1) = 22533293 Dl.O(d2) = 8814039,5741879,3575325,2130958,1229766,696049,696050,1229768,2130962,3575333,2708563,2708558,2263122,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263125,2263147,1313166,1313162,2263434,3778818,6040389,9223940,12945423,8807641,5737419,3572635,2129529,1229016,1229017,2129530 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 882173, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 545571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7580044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8013964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8013964, s2 = 7999850, int(edited[s2]) = 0 s1 = 8013964, s2 = 7999850, d1 = 28, d2 = 21 Dl.O(d1) = 254854211,5410693,3326113,1956109,1117371,626956,626960,1117384,1956143,3326175,5410811,8384848,12406345,8386125,5411553,5411555,8386127,5423205,3333877,1960742,1960743,3333881,5411494,8386049,11169563,8366674,5399889,5399888,8366689,8386802,8386804,12409065,17559023,18969505,13534257,13513059,10590096,6985945,6985943,10590092,255268274,17574440,12402550,8381914,5409201,3325352,3325348,5409190,8382014,12402675,17574526,23916706,23703358,23703357,28136840,20958797,20958799,17883191,12666889,10386154,10386150,11754034,12048429,17143564,17378852,17378851,23701174,23701016,23701015,23727735,23727737,31088217,23603847,17290925,17290922,23603823,28461712,28461714,31291569,31217108,23732807,17408264,12268204,12268203,17408256,17574177,17574179,23802601,23775426,17456667,12306302,8312156,5363452,3297189,3297190,5363455,8312162,12267267,8284092,5344354,5344355,5513901,5513902,8515801,255193995,24112279,28470160,22607401,255482672,30514591 Dl.O(d2) = 26136093,33974942,43032005,43031999,33974937,26136089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8013964, s2 = 7999850, dlinesl.size( ) = 2 s1 = 8013964, s2 = 7999850, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8013964, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 8040571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8040571, s2 = 13347849, int(edited[s2]) = 0 s1 = 8040571, s2 = 13347849, d1 = 17, d2 = 14 Dl.O(d1) = 16881682,11811235,11811236,254084886,7889619,11811265,16881712,23141910,17915643,12692974,8622755,8622756,12692976,17915646,254222678,30371251,22969757,16733975,16733976,16883024,11812601,11812602,16179060,254329598,16881693,21163542,21163541,16881708,254492954,254492948,16881688,23141880,29834344,23143050,23139155,16878878,11808751,11808750,16878876,23139152,30556515,30556518,23139159,16878881,16878882,23139161,30556523,39154076,36877426,28381067,21163570,15207055,10489587,6916570,5098029,3094342,254259820,8008219,11963252,17053569,23317912,30737931,36787267,28290758,21084220,15144840,15144839,21084218,28290754,29879354,29879353,268607876,256297092,255881360,38335183,30886403,30886406,33289067,29764414,22401874,16240023,16240020,16276765,16366432,22541669,25528509,28764206,28763597,21503738,21503737,28763594,24273442,24273443,31786409,37790968,37790969,33289088,256649907,23372133,17103385,17103386,16427155,16427154 Dl.O(d2) = 32258722,32258723,32307785,40737547,31988653,29678961,22327715,22327713,22327710,22327711,29109190,24433602,24433603,18046860,12793247,254623237,5661212,5649159,3512044,2088117,2088116,3512038,5649150,8127872,5207217,254575853,12086510,17189006,255335388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8040571, s2 = 13347849, dlinesl.size( ) = 2 s1 = 8040571, s2 = 13347849, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8040571, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 48086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 48086, s2 = 11656099, int(edited[s2]) = 0 s1 = 48086, s2 = 11656099, d1 = 0, d2 = 0 Dl.O(d1) = 1701358,2933489,4868114,2935557,1702408,967724,967727,1702418,2935582,4871479,4871408,4808901,4808904,4813833,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,2896825,4806521,4796973,2949209,1710367,1710368,2949214,2950760,2950761,4896194,2953859,1712884,973361,973362,1712887,2953862,4801550,7590854,7728955,4892520,2948370,2948369,4892517,7728951,11609172,11435414,11435415,16419378,11552413,11552412,15021010,10348607,7601923,4809045,4809044,7601919,7583790,4796826,4796827,4893820,4098908,2451999,1417573,1417572,2451994,4098898,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417646,254317177,6543047,9128849,5973997,4814940,2901684,1683376,1683377,2901686,4814944,7610701,11444499,16429269,255923843,15950019,11068826,11068827,15950028,22053549,22059370,20223744,14512099,14512100,20223747,27128778,35222429,30066767,22688143,16488025,11487916 Dl.O(d2) = 1701358,2933489,4868114,2935557,1702408,967724,967727,1702418,2935582,4871479,4871408,4808901,4808904,4813833,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,2896825,4806521,4796973,2949209,1710367,1710368,2949214,2950760,2950761,4896194,2953859,1712884,973361,973362,1712887,2953862,4801550,7590854,7728955,4892520,2948370,2948369,4892517,7728951,11609172,11435414,11435415,16419378,11552413,11552412,15021010,10348607,7601923,4809045,4809044,7601919,7583790,4796826,4796827,4893820,4098908,2451999,1417573,1417572,2451994,4098898,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417646,254317177,6543047,9128849,5973997,4814940,2901684,1683376,1683377,2901686,4814944,7610701,11444499,16429269,255923843,15950019,11068826,11068827,15950028,22053549,22059370,20223744,14512099,14512100,20223747,27128778,35222429,30066767,22688143,16488025,11487916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 48086, s2 = 11656099, dlinesl.size( ) = 2 s1 = 48086, s2 = 11656099, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 48086, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7915516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 887751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 887751, s2 = 10136897, int(edited[s2]) = 0 s1 = 887751, s2 = 10136897, d1 = 7, d2 = 47 Dl.O(d1) = 22647658 Dl.O(d2) = 254242107 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 888449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 888449, s2 = 9457025, int(edited[s2]) = 0 s1 = 888449, s2 = 9457025, d1 = 0, d2 = 3 Dl.O(d1) = 22666611 Dl.O(d2) = 13385469,18792332,25377268,33112541,42061557,42061525,42061524,52405329,64260720,64260723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 888449, s2 = 9457025, dlinesl.size( ) = 2 s1 = 888449, s2 = 9457025, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 888449, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13456697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13456697, s2 = 6603943, int(edited[s2]) = 0 s1 = 13456697, s2 = 6603943, d1 = 7, d2 = 7 Dl.O(d1) = 128452061,114568721,256640276,73617049,73617048,257785118,100538443,86577655,72980559,60244915,48851804,257599422,73617026,259475229,87735131,87649321,74128896,258245300,87649343,87649342,85910351,72316930,59582310,48195910,38286855,38286853,48195907,39841293,31158635,257053557,258868005,55314368,257910752,72185365,59447193,259643119,77304236,258441456,10502574,10502575,15225783,21188351,28409778,36907078,46784731,256023658,25996774,19325039,13818892,9476992,6213959,6213960,9299058,9299108,13580926,19026748,25644051,33411000,257215385,39213063,33713118,25906706,19245767,13751509,9422764,256160381,257107231,24315115,17929247,12703739,8630931,5612429,5612428,268006039,17929244,257107229,62060415,74859098,88496030,85527692,85527693,99474063,256276932,86412259,72817250,60079887,48683633,257497731,29339812,22008286,257471740,20101963,14412872,14412870,254339986,10850477,10850476,15673507,16409755,11425649,8350216,8350219,8350208,254508960,17524304,16473499,16473500,17172047,23447782,21677601,16473740,16473741,13711888,9391618,9391619,13711894,19199210,21714028,21714029,16804240,16804242,16409915,16409914,22593043,21677158,21677159,28958668,21738371,15688719,15688718,21738365,29029079,37576302,37590417,37588403,29040826,21748257,15695969,10865696,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551640,31032766,39709705,39709983,39709809,39709808,39709823,39709821,49728379,47447759,37539720,28994392,21709980,21709979,15695179,15695181,21747017,29039302,37586815,37586782,37586781,47469221,40437294,40437293,40445556,40445558,31751454,30045055,30045054,38619068,48534344,50482715,47477520,37571667,29024856,255052148,15686323,21735019,29024864,37571683,47477554,58189474,46823400,36945449,28445741,28445743,21219706,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,29028214,29028215,256893321,58859350,71583394,85151396,99075284,99072176,85147571,71578361,257472797,37561939,37561938,47468888,50477737,40440855,40440856,50477665,50470043,40432386,40432388,50470049,58873429,61973693,50481224,40444931,31750279,29027038,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,21069284,28272147,36767079,46651760,48491226,38577985,38577986,48491228,59882734,72621108,257099560,61975041,50482886,50482885,58873612,71595137,59482977,256352734,29614756,22263817,16123241,11200035,7431562,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733978,21733979,29023359,24235301,17860958,17860960,24235305,31745745,40440103,50476892,50108478,40087977,31407913,31407912,23917425,17575499,12403653,8382705,267896722,17575497,23917420,31407909,40087976,50108477,48510980,38596328,38596327,48510978,59904480,67552071,254316360,44357882,48808533,38886203,35101369,27014406,256448332,71053554,58337510,46969535,37087975,28583163,21353359,15376885,10625754,7013240,4409375 Dl.O(d2) = 128452061,114568721,256640276,73617049,73617048,257785118,100538443,86577655,72980559,60244915,48851804,257599422,73617026,259475229,87735131,87649321,74128896,258245300,87649343,87649342,85910351,72316930,59582310,48195910,38286855,38286853,48195907,39841293,31158635,257053557,258868005,55314368,257910752,72185365,59447193,259643119,77304236,258441456,10502574,10502575,15225783,21188351,28409778,36907078,46784731,256023658,25996774,19325039,13818892,9476992,6213959,6213960,9299058,9299108,13580926,19026748,25644051,33411000,257215385,39213063,33713118,25906706,19245767,13751509,9422764,256160381,257107231,24315115,17929247,12703739,8630931,5612429,5612428,268006039,17929244,257107229,62060415,74859098,88496030,85527692,85527693,99474063,256276932,86412259,72817250,60079887,48683633,257497731,29339812,22008286,257471740,20101963,14412872,14412870,254339986,10850477,10850476,15673507,16409755,11425649,8350216,8350219,8350208,254508960,17524304,16473499,16473500,17172047,23447782,21677601,16473740,16473741,13711888,9391618,9391619,13711894,19199210,21714028,21714029,16804240,16804242,16409915,16409914,22593043,21677158,21677159,28958668,21738371,15688719,15688718,21738365,29029079,37576302,37590417,37588403,29040826,21748257,15695969,10865696,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551640,31032766,39709705,39709983,39709809,39709808,39709823,39709821,49728379,47447759,37539720,28994392,21709980,21709979,15695179,15695181,21747017,29039302,37586815,37586782,37586781,47469221,40437294,40437293,40445556,40445558,31751454,30045055,30045054,38619068,48534344,50482715,47477520,37571667,29024856,255052148,15686323,21735019,29024864,37571683,47477554,58189474,46823400,36945449,28445741,28445743,21219706,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,29028214,29028215,256893321,58859350,71583394,85151396,99075284,99072176,85147571,71578361,257472797,37561939,37561938,47468888,50477737,40440855,40440856,50477665,50470043,40432386,40432388,50470049,58873429,61973693,50481224,40444931,31750279,29027038,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,21069284,28272147,36767079,46651760,48491226,38577985,38577986,48491228,59882734,72621108,257099560,61975041,50482886,50482885,58873612,71595137,59482977,256352734,29614756,22263817,16123241,11200035,7431562,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733978,21733979,29023359,24235301,17860958,17860960,24235305,31745745,40440103,50476892,50108478,40087977,31407913,31407912,23917425,17575499,12403653,8382705,267896722,17575497,23917420,31407909,40087976,50108477,48510980,38596328,38596327,48510978,59904480,67552071,254316360,44357882,48808533,38886203,35101369,27014406,256448332,71053554,58337510,46969535,37087975,28583163,21353359,15376885,10625754,7013240,4409375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13456697, s2 = 6603943, dlinesl.size( ) = 2 s1 = 13456697, s2 = 6603943, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13456697, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 15238779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15238779, s2 = 888722, int(edited[s2]) = 0 s1 = 15238779, s2 = 888722, d1 = 13, d2 = 15 Dl.O(d1) = 7433658,11150365,11150366,16058732,15241328,15241330,16127060,11202926,7433556,7433555,7433626,4697378,4697380,7432466,7432468,11201425,11203138,7433717,4697430,4697429,7432523,4696632,2829774,2829776,4696638,7432535,11201533,7432781,7432784,7433827,4697571,4696987,2829971,1641942,933640,526176,526175,933637,933615,933613,1641891,2829860,4696772,7432766,7433181,4697064,2830011,2830008,4697054,7433160,11202372,7433515,4697314,4697316,4697349,2830180,1642057,1642055,2830173,4697331,7433548,11202913,16127048,22266432,16125177,16125173,22266422,254778086,22266968,21546432,21546433,28814808,29528155,38091838,38091857,29618019,22266580,22266582,16125712,16125714,22266858,29618175,38185468,30627647,30627646,39225572,38198037,38198038,38185374,29618017,29618018,30621772,23199945,16930768,16930769,17762580,23205022,16934639,16126680,11202641,11202643,16126686,11209306,7437558,7437559,11209310,14515996,9988451,9988452,14516000,20229021,256231095,39219011,268943118,29579832,22232001,16097180,16097179,16125869,22266999,29618289,38185525,29619284,29618180,255461280,16125718,15785224,10935521,7235556,4561293,4561291,7235552,7919843,5035228,3048746,3048745,5035224,7919839,11849552,16930728,22279661,22279662,29631545,255899804,16136277,22279656,29631542,38198054,48109019 Dl.O(d2) = 36825316,46707310,38099391,29535504,29535505,29535701,22192458,16064206,11154371,11154373,16064213,16064234,16064235,22192394,22192396,22660257,29535712,29535715,29268862,21946538,21946537,22192027,16063884,11154174,11154172,16063882,16064374,22192641,21118882,21118881,22194156,29535253,22266485,22192632,22192635,17487199,12329787,8329208,5375685,5375684,8329204,12329776,11155087,7398956,4674164,4674163,7398951,11155079,16065336,22193771,22193800,22192904,16064591,11199433,11199434,16064191,11154366,11154367,11154393,7398555,7398557,11154399,11472933,7631159,7631158,11472927,16065755,11155410,255078487,16466475,11473060,7631251,7631250,11473055,11473013,7631226,4828052,4828051,7631223,11154658,7398715,4674043,2815918,1633649,1633650,2815920,4674046,7398722,11154669,16064700,22192138,16845219,11780401,11780399,16845211,16845107,11780339,11780340,16845110,22191772,16063712,16063711,22191768,21068968,21068967,28271816,36766730,36837791,38100169,29536525,29536526,29536451,22193254,16064940,11154823,11154822,16064935,255891954,21128793,16064103,16064102,22192315,22194210,16065787,16065786,22194206,29535110,29535243,29535055,29535054,29535184,256930463,30518087,28267039,21064224,15130391,10435719,10435720,7865471,7865472,11780379,16845187,17946761,24336742,22670222,22670221,22191812,16063737,15170201,10462680,10462679,15170194,21116333,21128971,16063641,11154046,7398378,7398379,11154051,16063652,22191672,28340829,22267798,22267797,28297813,28297812,28341035,21128909,15180401,15180403,16064685,22193017,22191889,16063792,11154127,11154129,16063799,22191900,22192185,16064014,16064013,16064043,11154275,7398488,7398487,11154268,16064031,16845167,22159004,22159005,29497856,30045377,22669975,22669969,22669970,30045372,30045495,30045496,30045507,36837868,28341094,28341095,22143958,16025654,11126914,11126916,16025660,22143971,29481828,30045328,27127577,22159013,22159011,29497868,36837827,28341031,22194200,16474382,16474381,22670150,30045526,38447193,38447192,38484854,38621512,39738413,36743205,30027051,22672601,16476408,11479859,7635304,7635302,11479493,16475845,16476614,11480008,7635401,7635403,11480014,16476622,22672843,22404214,255092031,7497128,7497129,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,4830626,4830473,2910752,2910729,1688575,1688572,2910722,4830407,7635279,4830388,4830389,7635133,4830290,4830289,7635131,11479595,16475989,22672066,30047441,38621155,48536112,59929485,72669538,271348857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15238779, s2 = 888722, dlinesl.size( ) = 2 s1 = 15238779, s2 = 888722, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15238779, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7832745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 645081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13482931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 890658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7834252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7834252, s2 = 14162457, int(edited[s2]) = 0 s1 = 7834252, s2 = 14162457, d1 = 17, d2 = 19 Dl.O(d1) = 255661795,13413045,13413044,18825860,21931378,15844142,10979865,10979864,15844141,21931377,29252284,23378707,23378706,255281192,19866183,254966321,6432704,4035427,4035423,4035422,2419021,1400269,797001,254095487,254565,451768,796994,254213421,4036830,6435145,9788352,14239024,19873796,26693764,34688222,43963453,42579318,33562620,31420365,31420366,255247658,20839370,14940042,10275297,6752740,6752741,10275301,10759543,7109017,7109018,10759544,14939234,20838471,268198584,27289732,27289731,35414233,27986812,20822014,20822015,25277250,18704727,18704728,25277251,30103784,30103785,24508038,18079329,12817723,12817724,16108281,21326143,15354185,15354183,21326138,20959408,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595218,16515066,11509415,7656455,4844600,4844601,254791705 Dl.O(d2) = 13338709,13338708,18737035,25314266,33042138,41986067,258259236,62107216,74911360,88550058,102556597,93510680,93510679,107948158,122374675,107948159,107948160,106089344,106089345,91894415,77969580,64774857,256745246,44808796,35384321,27259005,20324864,14586068,10036367,6595608,254697657,254651789,6030569,254923905,13469588,18901131,25511381,33271890,42251248,52636517,64535183,77716294,91643122,260876237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7834252, s2 = 14162457, dlinesl.size( ) = 18 s1 = 10143520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6478872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6478872, s2 = 6497876, int(edited[s2]) = 0 s1 = 6478872, s2 = 6497876, d1 = 8, d2 = 11 Dl.O(d1) = 255000164 Dl.O(d2) = 255242511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6478872, s2 = 6497876, dlinesl.size( ) = 2 s1 = 6478872, s2 = 6497876, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6478872, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 6556874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 892320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8010442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8010442, s2 = 273659, int(edited[s2]) = 0 s1 = 8010442, s2 = 273659, d1 = 1, d2 = 1 Dl.O(d1) = 16541451,11528496,7669104,4852395,2924082,2924083,1944762,1111044,1111045,1466905,254218939,4259184,6793128,10324029,10278958,6755508,6755507,9086652,9086653,13305028,18698043,20871301,20895877,16542291,16542290,20906110,15001102,10331328,6851878,6851877,255372905,28164286,256825319 Dl.O(d2) = 16541451,11528496,7669104,4852395,2924082,2924083,1944762,1111044,1111045,1466905,254218939,4259184,6793128,10324029,10278958,6755508,6755507,9086652,9086653,13305028,18698043,20871301,20895877,16542291,16542290,20906110,15001102,10331328,6851878,6851877,255372905,28164286,256825319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8010442, s2 = 273659, dlinesl.size( ) = 2 s1 = 8010442, s2 = 273659, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8010442, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 892450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7872492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 647314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 647314, s2 = 9432772, int(edited[s2]) = 0 s1 = 647314, s2 = 9432772, d1 = 59, d2 = 60 Dl.O(d1) = 16546838,22758874,30145839,38727347,40032579,31352329,255323116,17515571,21662345,21662344,25053947,25053948,20061490,14377145,14377146,20061492,23932154,23932156,29292593,21965407,268046850,12335118,8333026,5378250,3307178,1945636,1945633,3307168,5378218,8332954,12334992,15128906,15128904,21062142,18589378,13210139,13210140 Dl.O(d2) = 23342497,30765758,39367414,49294867,60696209,73444059,270877399,101057178,261251677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 647314, s2 = 9432772, dlinesl.size( ) = 8 s1 = 13301749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13301749, s2 = 6705385, int(edited[s2]) = 0 s1 = 13301749, s2 = 6705385, d1 = 10, d2 = 10 Dl.O(d1) = 10550319,10967108,15825815,18933684,15148985,15148986,15286313,10551865,10551868,14071256,13526432,12059080,12059079,9106344,5958546,3726353,3726354,5958552,9106355,8115539,5199701,5199702,255150723,255150721,18959128,17152468,17152472,18957687,13521425,13521424,13522130,17563501,17104711,15774326,15774325,17164067,17556593,17556594,17563052,12391922,8374260,5404551,5404549,8374289,12069990,8116520,5199873,5199869,8116506,12069974,13498575,255060046,25546697,30152203,22764399,16551101,15798168,10946254,10946252,15798144,21872386,21872576,15799081,15799080,10947160,7244259,4567266,4567265,254753093,15799560,255432800,22624170,29992293,254787956,257546447 Dl.O(d2) = 10550319,10967108,15825815,18933684,15148985,15148986,15286313,10551865,10551868,14071256,13526432,12059080,12059079,9106344,5958546,3726353,3726354,5958552,9106355,8115539,5199701,5199702,255150723,255150721,18959128,17152468,17152472,18957687,13521425,13521424,13522130,17563501,17104711,15774326,15774325,17164067,17556593,17556594,17563052,12391922,8374260,5404551,5404549,8374289,12069990,8116520,5199873,5199869,8116506,12069974,13498575,255060046,25546697,30152203,22764399,16551101,15798168,10946254,10946252,15798144,21872386,21872576,15799081,15799080,10947160,7244259,4567266,4567265,254753093,15799560,255432800,22624170,29992293,254787956,257546447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13301749, s2 = 6705385, dlinesl.size( ) = 2 s1 = 13301749, s2 = 6705385, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13301749, Dl.E( ) = 12, 4.77e-06 seconds used appending s1 = 6486375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6486375, s2 = 10176242, int(edited[s2]) = 0 s1 = 6486375, s2 = 10176242, d1 = 13, d2 = 39 Dl.O(d1) = 255096231 Dl.O(d2) = 23466656,30900402,39507945,258848187,260089125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6486375, s2 = 10176242, dlinesl.size( ) = 24 s1 = 13199089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13199089, s2 = 10363067, int(edited[s2]) = 0 s1 = 13199089, s2 = 10363067, d1 = 0, d2 = 53 Dl.O(d1) = 13598195,19048809,25669175,30598761,23179963,16915030,11837944,7911446,5029437,3044643,3044642,5029435,7911441,11093594,7357283,7357284,5181727,3161564,1850820,1056287,1056290,1850712,1056236,593900,593901,1056244,1850729,3161402,5181422,8086874,8086873,12028817,17117128,22767822,16553917,267980739,4857270,4857269,7676298,11538288,16553915,16554526,16554524 Dl.O(d2) = 256539020,80353794,66927704,60136882,48742039,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741856,38821831,30238541,30238540,38821773,48741854,60136473,72873178,256538960,118384554,104224274,104224273,114538749,114538750,100508497,258823266,60206595,60206594,72946522,86546369,260045967,95184918,81126630,67659812,55320235,44474456,35097816,27011538,20119602,14428684,14428589,9925076,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925073,14428580,255745761,257311669,44474352,44474351,258531821,258880103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13199089, s2 = 10363067, dlinesl.size( ) = 14 s1 = 10347406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347406, s2 = 7965452, int(edited[s2]) = 0 s1 = 10347406, s2 = 7965452, d1 = 19, d2 = 29 Dl.O(d1) = 261109416 Dl.O(d2) = 255464914,14399029,9904144,9904146,255327951,16475502,16475501,18119810,12848382,12848383,18119813,24557867,29330705,28974420,28974421,22671450,22671452,17765707,17765705,24128994,31600768,25346965,18765860,18765861,16922971,12847700,8736758,8736759,5976389,3737491,3737494,5976400,9066687,9066686,13282941,13283653,13283654,12847541,8736677,5687811,3538301,3538302,2106270,1212978,684345,684348,1212986,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,5687953,5687954,8736996,12848134,18119398,24557309,32139032,254841376,32581404,39992339,31315518,23826201,17488830,12330983,12330984,17488832,23826205,31315521,37522363,30760349,30760347,39361254,32962870,25241374,25241375,32962878,40917518,42760579,33730673,33730672,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074672,17173044,17173056,17173054,23449172,28880340,21604619,15576408,15576406,21604614,28880333,22628415,22628414,20965188,20965187,28143591,36617472,46483895,44423818,256012164,31696360,31696359,30468219,255552228,40967665,42126150,39486276,35195967,35195968,40012069,42064045,47429943,47429942,49363162,39434047,33337253,30652748,23231284,16958469,11870579,11870580,16958471,23231288,30652758,39248590,32969151,31618547,28161647,20981910,256825085,57859971,58643824,47251062,37341315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 893718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 451353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 894376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 894376, s2 = 15224025, int(edited[s2]) = 0 s1 = 894376, s2 = 15224025, d1 = 11, d2 = 10 Dl.O(d1) = 22791229 Dl.O(d2) = 22636394 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1085002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10175202, s2 = 8893444, int(edited[s2]) = 0 s1 = 10175202, s2 = 8893444, d1 = 74, d2 = 69 Dl.O(d1) = 48690554,255938054,22795303 Dl.O(d2) = 263182269,194295851,274351339,266237775 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 894797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 649474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 649474, s2 = 2298395, int(edited[s2]) = 0 s1 = 649474, s2 = 2298395, d1 = 0, d2 = 10 Dl.O(d1) = 16594432 Dl.O(d2) = 61614105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 649474, s2 = 2298395, dlinesl.size( ) = 48 s1 = 6579620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6579620, s2 = 8452307, int(edited[s2]) = 0 s1 = 6579620, s2 = 8452307, d1 = 18, d2 = 20 Dl.O(d1) = 256177236,37393116,28852861,21580649,15557101,10760651,10760650,15557100,16599110,256439913 Dl.O(d2) = 257098500,10480306,6909876,6909877,10480313,15194309,12420191,8394619,5417260,254597269,7309796,4613621,2778072,2778071,4613620,7309793,11035100,15913303,11034899,7309655,7309654,11034894,12530060,8491170,8491169,9177174,7861516,7861515,11034725,15913092,15913197,15913196,22014770,22014915,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491902,8491302,12530243,16474928,16474929,15338996,10594508,9177171,9177170,12782638,8689618,5655347,5655348,7431256,4695879,2829350,2829348,4695874,7431248,11199548,15913224,15913223,22014793,25821523,19171079,19171080,25821524,33622449,38217878,48092687,38180888,255395640,47837128,37915835,31322889,23832423,17493795,15340393,10595699,10595697,11223281,7446774,7446775,8332758,7446736,254159062,2834319,267830014,11223216,16154270,16154399,16154157,11223138,11223139,16154159,22299605,29651541,38217890,40000722,31322980,31322981,29651688,22299793,16154350,16154349,22299791,29651686,254564694,29251710,29251711,37816961,30444812,254812448,22228427,29575779,38142503,39034289,255523662,22461031,16293163,11336109,11336108,16293161,16293255,16293254,255915271,28163992,36639053,30250078,22855439,22855440,29655718,38221684,48131771,259378011,261172427,113811846,271815810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6579620, s2 = 8452307, dlinesl.size( ) = 2 s1 = 6579620, s2 = 8452307, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6579620, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 13250589, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6789206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6789206, s2 = 16017124, int(edited[s2]) = 0 s1 = 6789206, s2 = 16017124, d1 = 7, d2 = 2 Dl.O(d1) = 58814535,47819671,37897705,37897704,47819669,58457778,58457774,58457773,255188906,37815952,29250710,21929993,15843071,10979081,10979082,15843072,21929995,23216461,254080550,7925671,7925670,11859029,16944274,23216458,30639650,34311981,34311980,43413378,53940257,46488115,46488114,46488116,268001394,66010605,53940253,43413374,39237697,39237696,39023746,254408384,60343400,60343408,48946556,39023751,30434206,30434205,39023750,48946553,60343404,73083119,86687234,86687233,269877768,100659958,258897542,100659963,86687240,86687241,100659965,114705318,128602057,141962875,154606394,154606389,154606390,154606392,154606397,166325832,166325822,166325817,166325816,166325826,154606386,154606385,166325824,176923778,166325833,154606395,154606396,166325835,176923784,186298828,176923773,176923772,186298826 Dl.O(d2) = 59936100,50122533,40101890,31421698,23931302,18870057,13446415,13446414,13652210,13652212,19121298,24263963,17885705,12668608,8603278,8603282,12668601,17885683,21763002,26007371,26007287,26007286,32995396,33432321,42424669,47017612,50505361,42176189,42176188,42175372,37003186,28505301,21286429,19815849,19815847,16481377,11483665,11483666,13904869,9542687,6260787,6260786,6293125,6293123,9587077,6377932,6377933,9697248,9697251,14099075,19668740,26403156,34278304,43377303,53901135,65967398,270003306,65967402,62412047,62412048,258311415,60488571,60488567,60488568,258198341,49085424,39155599,30558151,30558152,39155601,47043932,37153483,30558146,30558147,30558148,30558149,28638059,21397760,21397759,28638053,21397755,21397756,28638055,256322459,21397768,15411810,15411809,255831981,21397770,21397769,28638064,37153481,37153482,37153492,47043937,47043938,47043939,58418473,71139895,84709649,77326320,64178131,52326810,52326808,58182071,46815177,36936843,28437410,21212347,15244975,15244976,21212343,28437405,36936834,46815167,46815168,50362984,50362983,61847311,74639860,61847314,50362986,40335788,31647295,24141092,17776818,12581143,8534083,5532098,3417650,2017730,1154304,1154307,254415015,8534092,8574506,254614571,5571404,5513983,3400984,2005196,1146247,1146246,2005195,3400983,5513982,3401231,2005385,2005388,2048095,1174461,1174462,1985887,1985889,3374449,4690282,5501513,5515097,5515096,3443124,3443125,3408946,2041959,1170320,1170322,1141544,1141542,1162094,2029486,2041941,1170307,1170306,2041936,254418599,8529470,8503885,5566171,254613975,5567179,3451170,2044594,1172202,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,1142953,1999642,3393031,5504209,5535318,5535317,8492032,5492685,5492684,5536872,5536870,3422386,3422387,3451076,2044520,2044519,254418949,7216449,4546984,3038728,3038730,5021002,7899716,11821425,16893199,16890088,254813251,5018255,5018256,7897226,8290381,12275944,15752951,16714364,12626623,9305566,6095554,3813660,3813658,4546732,4546730,5358379,5358380,8304835,12296306,16387788,19361908,15753362,10909722,10909723,15753365,17796536,24164352,31673508,31568197,24062476,17707277,12525377,8487176,8487174,7897746,7897748,11819475,16890733,13640208,9340501,6118194,3827990,3827992,6118198,8431390,8431389,10909590,7214974,7214975,9670221,14060742,19620022,19148047,19148048,19088650,13628416,13628417,19038838,255919635,255919637,38489498,48392569,44548783,35171139,27082792,255750904,9963731,14481390,14481391,13390204,13390205,18797123,25381974,254116918,35171302,32835562,32835561,254095908,35170162,32806366,32806365,35165341,27077652,20180935,14479276,14479275,20179906,14478600,9962898,9962526,9962527,9962863,9962864,14480230,20182398,25382029,27081929,20184027,20184028,27081931,27082147,20184194,20184195,26268025,268176498,35162679,27075605,27075606,256751385,44434057,35059753,27081690,27081691,35169677,257317689,67734267,67734274,55394595,268829495,35169694,44547522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6789206, s2 = 16017124, dlinesl.size( ) = 2 s1 = 6789206, s2 = 16017124, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6789206, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 6603244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6603244, s2 = 10340458, int(edited[s2]) = 0 s1 = 6603244, s2 = 10340458, d1 = 128, d2 = 119 Dl.O(d1) = 256442209,22842754 Dl.O(d2) = 255456295,256932429 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13272569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9348926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6602269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6602269, s2 = 13109701, int(edited[s2]) = 0 s1 = 6602269, s2 = 13109701, d1 = 1, d2 = 14 Dl.O(d1) = 256433656 Dl.O(d2) = 1016561,1016563,1782620,3058258,5048190,7938071,7979579,7979578,11874511,11871143,7958092,7930306,5041355,3052174,3052179,5041371,7930336,11865760,16953404,23226688,16993735,11917577,7972363,7972361,7965164,7965165,11908189,16993665,16967065,16140010,16140011,11887258,11887235,11887236,16974541,17013387,11928078,7981545,5079776,3081044,1798127,1798126,3081042,5079771,7981537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6602269, s2 = 13109701, dlinesl.size( ) = 8 s1 = 11656002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656002, s2 = 9686080, int(edited[s2]) = 0 s1 = 11656002, s2 = 9686080, d1 = 1, d2 = 1 Dl.O(d1) = 31986831,255816390,32952629,32952628,32952637,41887982,52219342,47047160,42003298,42003299,47047147,37156313,28640563,21399984,15413670,15413671,21399989,28640572,37156326,47047166,255930266,32952644,41887986,52219346,50841618,50841619,62425371,75325108,67809702,64060849,58422025,50841624,50841623,52505746,64379433,77547677,70994806,58280162,46914743,46914744,42147662,33188312,33188311,257198237,258033162,64060855,52219341,52219340,269307638,74114959,61332536,49849370,39825702,31143247,31143245,37156299,37156318,42003288,33059746,25330611,25330612,33059748,42003293,52342219,64192274,268379272,84713645,256844706,84558299,70994809,58280168,46914749,37037170,33188318,25442795,18846071,268296625,33188315,33188309,25442790,25442789,33188304,40793668,40793667,268913866,32036138,24473297,24473296,32036135,31143250,23656033,23656032,31143249,39825705,46522447,36655264,255816410,25330615,18750731,255021640,33059751,42003296,42003274,269073463,77339313,77547682,269307640,42147645,33188295,25442784,18846062,13427499,13427498,9180599,9180600,13427506,18846074,25442798,33188320,42147640,36492809,28030363,28030364,33059722,25330589,18750705,18052828,18052827,24473299,21671028,21671029,28950872,36492803,28030359,28030356,36492799,33059760,25330621,18750737,13349418,13349417,18750733,25330584,20862926,20862927,28030341,36492793,46350521,42003268,33059710,25330579,18750694,18750681,18750683,25330566,28538650,25330592,18750709,18750710,255021638,20997140,28179209,255021632,28030345,20862930,20862931,28030348,33059741,33059764,255816402,37493276,28950867,28179237,20997174,20862937,14961053,14961055,20862940,14961058,255360827,25442776,25442775,33188282,36655250,28179219,255254492,36492790,33059655,33059654,255800512,18750699,13349396,9121703,5968740,3732750,3732751,5968742,9121706,13349402,13349410,13349411,18750721,25330601,33059735,37075241,28572122,21344055,21344056,28572125,25330628,18750740,13349420,13349421,18750725,18750726,25330608,20862933,14961050,10293604,6767072,4241000,4241001,6767079,9180593,255174151,23829661,18750636,18750637,18750627,13349329,9180609,6008924,3758353,3758352,6008922,9180604,13427515,10408527,10408525,15091459,12770491,12770490,18018303,12770575,12770576,18018437,24431757,18018495,18018494,255021634,33059766,33059767,255816406,18750747,25330636,33059775,33059670,25330531,18750653,13349356,12770569,12770570,13427490,13427489,12770572,12770573,13349342,13349340,13427518,13427519,18846080,25442802,33059657,28204494,21012346,254716302,28572131,21344061,21344062,25330499,18750618,13349323,9121660,5968708,5968709,9121663,13349327,18750624,25330501,18846075,13427508,13349432,9121722,5968751,3732756,3732757,5968755,9121729,13349355,9121681,5968724,3732742,3732743,5968726,8680268,5648205,3511425,2087714,2087715,3511428,5648208,8680270,12770580,12770694,15429695,10666803,7044811,7044810,10666801,12770619,8680297,8680296,254333174,4426133,4426131,2661727,2661730,2633264,2633267,1543065,876654,876656,1543069,2665219,4438226,7051114,10675287,15441137,15385063,12733047,8652351,8652348,12733044,15365618,15365619,21339753,28567026,37033813,28535785,21313000,18018501,12770624,8680300,5648231,3511441,2087717,1200468,1200469,1247928,2156867,2087713,2087712,3511420,5648200,8680260,10629937,7016494,4411883,2645496,2645497,4411885,7016496,5968731,3732746,3732747,5968736,5315283,5315285,8243528,12212985,17339135,12733058,8652359,5627814,3496906,2077892,1194238,1194237,2077889,2087705,1200464,1200465,2087709,3511413,5648191,8680245,12770533,18018365,18018485,12770610,8680288,5648219,3511434,3511433,5648216,8680280,12770594,18018464,24431782,31986843,40735681,50652531,40602505,31893581,31893582,40602509,38271863,38271862,36467223,36467220,46320081,256441508,71394862,58660095,47268497,39167954,30570091,30570092,39167956,32592591,32592592,41469646,51738599,63516318,72883815,60147409,48753095,38833020,30249407,22854790,22854789,27036307,35123492,44501368,48777720,38857583,30273173,22875992,16647704,15019808,15019807,20928090,28104427,36576341,269297857,70497304,84032088,84750693,71181954,255745980,37186683,255330218,37885473,29316575,21988279,268397103,42903269,53369301,53369430,53369330,256686481,33858224,42903289,40621903,31907583,24376090,24376089,31907582,33858248,33858249,42903326,42903338,42903339,50679325,40621896,40621897,50679326,62197485,75018428,88667316,93390161,79263780,65901487,65901488,67190528,54871169,44070821,44070822,54871173,58436799,71158727,79263769,65901476,65901475,79263766,92742361,92742360,258916404,79263771,93390153,106773510,92467827,92467828,98657993,107812384,107812385,98882102,98882101,109023547,109023549,100555593,86593875,86593866,86593867,79263804,79263805,93390190,259541130,259658106,79263773,79263772,84956813,92742379,79263821,79263820,79263806,79263807,269503934,65373558,53369380,53369379,43309283,43309282,53834287,65901521,79263824,93390213,100555594,86593877,72996079,60260380,256045992,38947592,48867352,60260378,72996076,86078769,86078770,98882097,98882096,107812372,93390203,79263814,65901510,53834283,43309279,43309278,53834281,65901508,79263810,84956816,92742352,92742351,107083115,93390218,259658108,65901538,53834299,43309289,43309288,53834298,65901534,65901493,53834274,53834275,65901497,259107195,259738190,91483185,93390193,107812363,100555587,100555586,259541126,100041506,93390232,259738189,100041505,107812391,93390235,93390236,93390214,79263827,65901524,53834289,53834278,43309277,257265483,65901503,79263803,93390187,107812362,259472484,79263838,79263837,93390224,107812382,260013541,86078741,79263873,79263872,93390248,107812397,107812365,107812366,99741445,85787616,72193564,257860151,53834300,65901540,79263849,86078789,86078788,100041467,86078709,72481160,72481159,79263818,65901516,53834285,53834284,65901513 Dl.O(d2) = 31986831,255816390,32952629,32952628,32952637,41887982,52219342,47047160,42003298,42003299,47047147,37156313,28640563,21399984,15413670,15413671,21399989,28640572,37156326,47047166,255930266,32952644,41887986,52219346,50841618,50841619,62425371,75325108,67809702,64060849,58422025,50841624,50841623,52505746,64379433,77547677,70994806,58280162,46914743,46914744,42147662,33188312,33188311,257198237,258033162,64060855,52219341,52219340,269307638,74114959,61332536,49849370,39825702,31143247,31143245,37156299,37156318,42003288,33059746,25330611,25330612,33059748,42003293,52342219,64192274,268379272,84713645,256844706,84558299,70994809,58280168,46914749,37037170,33188318,25442795,18846071,268296625,33188315,33188309,25442790,25442789,33188304,40793668,40793667,268913866,32036138,24473297,24473296,32036135,31143250,23656033,23656032,31143249,39825705,46522447,36655264,255816410,25330615,18750731,255021640,33059751,42003296,42003274,269073463,77339313,77547682,269307640,42147645,33188295,25442784,18846062,13427499,13427498,9180599,9180600,13427506,18846074,25442798,33188320,42147640,36492809,28030363,28030364,33059722,25330589,18750705,18052828,18052827,24473299,21671028,21671029,28950872,36492803,28030359,28030356,36492799,33059760,25330621,18750737,13349418,13349417,18750733,25330584,20862926,20862927,28030341,36492793,46350521,42003268,33059710,25330579,18750694,18750681,18750683,25330566,28538650,25330592,18750709,18750710,255021638,20997140,28179209,255021632,28030345,20862930,20862931,28030348,33059741,33059764,255816402,37493276,28950867,28179237,20997174,20862937,14961053,14961055,20862940,14961058,255360827,25442776,25442775,33188282,36655250,28179219,255254492,36492790,33059655,33059654,255800512,18750699,13349396,9121703,5968740,3732750,3732751,5968742,9121706,13349402,13349410,13349411,18750721,25330601,33059735,37075241,28572122,21344055,21344056,28572125,25330628,18750740,13349420,13349421,18750725,18750726,25330608,20862933,14961050,10293604,6767072,4241000,4241001,6767079,9180593,255174151,23829661,18750636,18750637,18750627,13349329,9180609,6008924,3758353,3758352,6008922,9180604,13427515,10408527,10408525,15091459,12770491,12770490,18018303,12770575,12770576,18018437,24431757,18018495,18018494,255021634,33059766,33059767,255816406,18750747,25330636,33059775,33059670,25330531,18750653,13349356,12770569,12770570,13427490,13427489,12770572,12770573,13349342,13349340,13427518,13427519,18846080,25442802,33059657,28204494,21012346,254716302,28572131,21344061,21344062,25330499,18750618,13349323,9121660,5968708,5968709,9121663,13349327,18750624,25330501,18846075,13427508,13349432,9121722,5968751,3732756,3732757,5968755,9121729,13349355,9121681,5968724,3732742,3732743,5968726,8680268,5648205,3511425,2087714,2087715,3511428,5648208,8680270,12770580,12770694,15429695,10666803,7044811,7044810,10666801,12770619,8680297,8680296,254333174,4426133,4426131,2661727,2661730,2633264,2633267,1543065,876654,876656,1543069,2665219,4438226,7051114,10675287,15441137,15385063,12733047,8652351,8652348,12733044,15365618,15365619,21339753,28567026,37033813,28535785,21313000,18018501,12770624,8680300,5648231,3511441,2087717,1200468,1200469,1247928,2156867,2087713,2087712,3511420,5648200,8680260,10629937,7016494,4411883,2645496,2645497,4411885,7016496,5968731,3732746,3732747,5968736,5315283,5315285,8243528,12212985,17339135,12733058,8652359,5627814,3496906,2077892,1194238,1194237,2077889,2087705,1200464,1200465,2087709,3511413,5648191,8680245,12770533,18018365,18018485,12770610,8680288,5648219,3511434,3511433,5648216,8680280,12770594,18018464,24431782,31986843,40735681,50652531,40602505,31893581,31893582,40602509,38271863,38271862,36467223,36467220,46320081,256441508,71394862,58660095,47268497,39167954,30570091,30570092,39167956,32592591,32592592,41469646,51738599,63516318,72883815,60147409,48753095,38833020,30249407,22854790,22854789,27036307,35123492,44501368,48777720,38857583,30273173,22875992,16647704,15019808,15019807,20928090,28104427,36576341,269297857,70497304,84032088,84750693,71181954,255745980,37186683,255330218,37885473,29316575,21988279,268397103,42903269,53369301,53369430,53369330,256686481,33858224,42903289,40621903,31907583,24376090,24376089,31907582,33858248,33858249,42903326,42903338,42903339,50679325,40621896,40621897,50679326,62197485,75018428,88667316,93390161,79263780,65901487,65901488,67190528,54871169,44070821,44070822,54871173,58436799,71158727,79263769,65901476,65901475,79263766,92742361,92742360,258916404,79263771,93390153,106773510,92467827,92467828,98657993,107812384,107812385,98882102,98882101,109023547,109023549,100555593,86593875,86593866,86593867,79263804,79263805,93390190,259541130,259658106,79263773,79263772,84956813,92742379,79263821,79263820,79263806,79263807,269503934,65373558,53369380,53369379,43309283,43309282,53834287,65901521,79263824,93390213,100555594,86593877,72996079,60260380,256045992,38947592,48867352,60260378,72996076,86078769,86078770,98882097,98882096,107812372,93390203,79263814,65901510,53834283,43309279,43309278,53834281,65901508,79263810,84956816,92742352,92742351,107083115,93390218,259658108,65901538,53834299,43309289,43309288,53834298,65901534,65901493,53834274,53834275,65901497,259107195,259738190,91483185,93390193,107812363,100555587,100555586,259541126,100041506,93390232,259738189,100041505,107812391,93390235,93390236,93390214,79263827,65901524,53834289,53834278,43309277,257265483,65901503,79263803,93390187,107812362,259472484,79263838,79263837,93390224,107812382,260013541,86078741,79263873,79263872,93390248,107812397,107812365,107812366,99741445,85787616,72193564,257860151,53834300,65901540,79263849,86078789,86078788,100041467,86078709,72481160,72481159,79263818,65901516,53834285,53834284,65901513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656002, s2 = 9686080, dlinesl.size( ) = 2 s1 = 11656002, s2 = 9686080, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656002, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 9709584, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 898059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7957543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7957543, s2 = 7597661, int(edited[s2]) = 0 s1 = 7957543, s2 = 7597661, d1 = 12, d2 = 9 Dl.O(d1) = 48066551,38153700,37262174,28730076,21472486,15469866,15469867,21472490,28730080,31696216,24188565,24188567,29587649,24188574,17820037,17820036,24188573,31696223,25804653,268206624,15377477,15377476,14054515,9664182,254462671,2389653,2389652,3987207,6354891,9664174,10721240,15503031,19450526,13919170,13919171,14053607,10721148,7083009,4459358,2678903,2678904,4459365,4459350,3986995,2389553,2389554,3986999,6354499,6353858,3986649,2389370,1383141,786849,254151203,2389359,3986622,6353811,9662319,255305241,14051715,14051717,13919825,13919824,19451365,19613371,19450777,255706165,26340609,19612056,14053565,14053564,268246399,13919665,255297465,14053136,9663245,6354357,3986916,254462637,9663240,14053129,14053911,14052287,14052288,19610596,26339093,26342903,26342902,26340695,19612142,19612143,256185693,18846268,18846269,25443029,31028895,38836419,256306944 Dl.O(d2) = 268914175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7957543, s2 = 7597661, dlinesl.size( ) = 14 s1 = 7597660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7597660, s2 = 7957542, int(edited[s2]) = 0 s1 = 7597660, s2 = 7957542, d1 = 22, d2 = 31 Dl.O(d1) = 268914174 Dl.O(d2) = 256306945,30877967,23447474,23447473,30877966,36716680,256185692,25948086,33755816,28223291,28223290,36716247,34214111,26340957,26340958,19612416,14053885,14053887,19612421,254462636,43309588,37302322,37302323,43049169,255297464,26149492,268246398,43312301,39337070,39337069,49263527,255706164,30738659,25560079,18947265,18947264,24049617,31553611,33314026,255305240,30002909,34215012,28769420,26340923,254151202,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354733,9663911,10719103,10719118,7081863,7081862,10719111,15499731,21508533,19609065,14051085,14051084,19609062,26337406,21508638,21508640,28769503,37302675,31668750,24159274,254462670,21359424,15381518,10629439,10629440,268206625,28282534,28014701,28014702,34250475,26373318,26373317,28557581,28557582,22440434,22440433,29806760,33203452,29305474,29305473,37874520,38378286,29806449,29806450,38378287 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8103601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8103601, s2 = 14164453, int(edited[s2]) = 0 s1 = 8103601, s2 = 14164453, d1 = 1, d2 = 1 Dl.O(d1) = 11592520,15284924,15284925,15309305,10572786,10572785,10572855,15265167,15272478,10572662,10572663,15269941,10536868,6948860,4366509,4366508,6948855,10536862,8109778,8109779,12061377,15281335,10563188,10563187,10563143,10529783,6944445,4364115,4364114,6944441,10529774,15257275,10526143,6942203,6942204,6958761,6958762,6966638,6966637,6970009,6947517,4365746,4365747,6947519,10534764,6949696,4366999,2616643,1510890,1510889,856809,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726425,5958698,6969387,9256855,6062595,6062596,9256860,8107790,8106368,5193731,5193730,8105292,5193134,3168832,1855301,1058943,595499,595500,1058948,1855306,3168840,4379377,2622869,1513808,858080,858079,1513804,2622860,4379355,5173170,5173169,8078256,6971578,6971579,10569366,6971341,6971324,4379519,4379518,6971322,10569341,15305426,17155474,15803545,15803544,13507837,12056537,12056538,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,3168503,5192493,5192492,5192458,5192457,254828023,8104629,8104630,12054502,17150994,21271604,15310579,15310578,21271601,255569462,15289008,254674232,16800134,18971066,21228131,21228130,21245407,18943167,18943168,17567369,15288091,15288090,18957219,268113012,15269975,21238203,28462018,33322850,33307759,267912918,13498001,13498002,13511683,9245197,6532773,6532774,9939387,7722915,7722914,11601450,16631750,22857670,30252618,38836446,48756450,48756451,60150638,72886829,86481992,260041537,261217829,154341993,166091040,176727636,186139027,189534101,189534102,197227119,203788806,209267116,209267117,203788809,197227122,189534103,180630634,170493581,170493579,262101736,133517844,133517843,146775268,146775269,133517844,119644915,259810418,77266725,64119633,52270546,268837792,25267001,18695231,13302166,9083760,6747468,4227979,2533471,2533470,1465873,829448,829449,1465876,2544413,4256182,6788950,10319223,13312829,10306419,10282993,8598894,5587476,5587477,6786188,4254215,4254214,6786183,10316037,254642291,5937189,9078322,7273237,7273236,10363129,15035416,13302773,13302774,14974485,13321324,9101374,5955080,5955081,6293320,9587353,13963286,19507828,26221990,34082520,43165700,53675922,65731897,79087547,93202705,260345793,135895261,133548688,119673610,105435231,91212996,77292734,64143692,52291556,41950769,33008507,25283495,18710618,13317491,13317494,255275650,25283494,33008505,41950768,52291554,64143690,77292732,258425970,119673608,133548687,260890440,263335533,197250040,203810735,209288244,213781225,214972382,210767420,205619428,199395875,192040737,183491304,173713021,162703880,150605607 Dl.O(d2) = 11592520,15284924,15284925,15309305,10572786,10572785,10572855,15265167,15272478,10572662,10572663,15269941,10536868,6948860,4366509,4366508,6948855,10536862,8109778,8109779,12061377,15281335,10563188,10563187,10563143,10529783,6944445,4364115,4364114,6944441,10529774,15257275,10526143,6942203,6942204,6958761,6958762,6966638,6966637,6970009,6947517,4365746,4365747,6947519,10534764,6949696,4366999,2616643,1510890,1510889,856809,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726425,5958698,6969387,9256855,6062595,6062596,9256860,8107790,8106368,5193731,5193730,8105292,5193134,3168832,1855301,1058943,595499,595500,1058948,1855306,3168840,4379377,2622869,1513808,858080,858079,1513804,2622860,4379355,5173170,5173169,8078256,6971578,6971579,10569366,6971341,6971324,4379519,4379518,6971322,10569341,15305426,17155474,15803545,15803544,13507837,12056537,12056538,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,3168503,5192493,5192492,5192458,5192457,254828023,8104629,8104630,12054502,17150994,21271604,15310579,15310578,21271601,255569462,15289008,254674232,16800134,18971066,21228131,21228130,21245407,18943167,18943168,17567369,15288091,15288090,18957219,268113012,15269975,21238203,28462018,33322850,33307759,267912918,13498001,13498002,13511683,9245197,6532773,6532774,9939387,7722915,7722914,11601450,16631750,22857670,30252618,38836446,48756450,48756451,60150638,72886829,86481992,260041537,261217829,154341993,166091040,176727636,186139027,189534101,189534102,197227119,203788806,209267116,209267117,203788809,197227122,189534103,180630634,170493581,170493579,262101736,133517844,133517843,146775268,146775269,133517844,119644915,259810418,77266725,64119633,52270546,268837792,25267001,18695231,13302166,9083760,6747468,4227979,2533471,2533470,1465873,829448,829449,1465876,2544413,4256182,6788950,10319223,13312829,10306419,10282993,8598894,5587476,5587477,6786188,4254215,4254214,6786183,10316037,254642291,5937189,9078322,7273237,7273236,10363129,15035416,13302773,13302774,14974485,13321324,9101374,5955080,5955081,6293320,9587353,13963286,19507828,26221990,34082520,43165700,53675922,65731897,79087547,93202705,260345793,135895261,133548688,119673610,105435231,91212996,77292734,64143692,52291556,41950769,33008507,25283495,18710618,13317491,13317494,255275650,25283494,33008505,41950768,52291554,64143690,77292732,258425970,119673608,133548687,260890440,263335533,197250040,203810735,209288244,213781225,214972382,210767420,205619428,199395875,192040737,183491304,173713021,162703880,150605607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8103601, s2 = 14164453, dlinesl.size( ) = 2 s1 = 8103601, s2 = 14164453, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8103601, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 247085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 247085, s2 = 1431383, int(edited[s2]) = 0 s1 = 247085, s2 = 1431383, d1 = 19, d2 = 13 Dl.O(d1) = 6028206,6028207,4889220,2946300,2946299,4889202,4889256,7724328,11603345,16634249 Dl.O(d2) = 37040605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 247085, s2 = 1431383, dlinesl.size( ) = 20 s1 = 6517526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6517526, s2 = 9372973, int(edited[s2]) = 0 s1 = 6517526, s2 = 9372973, d1 = 23, d2 = 25 Dl.O(d1) = 255478814,16672501,11637347,7752941,7752939,7102432,7100323,4470492,2685950,1555929,884653,884652,1555927,2685947,4470485,4777425,7554951,11371355,7554487,4777168,4777167,7554483,11371349,16342913,16345471,12157516,12157518,11371323,11371325,9519919,7557865,5235454,5235452,5243854,5243853,8174301 Dl.O(d2) = 58165549,47970534,38057736,255114804,47901833,269335061,44407667,35032736,35032737,38780944,38593730,37249545,28718703,21462574,15462091,11568894,11568895,16589116,22806531,30197375,30058791,30058790,23479873,23479874,30916868,39527222,39438614,30834599,29587831,29587830,23932133,17589805,17589807,23033473,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008,21492518,21492520,28752236,35012147,26930519,26930520,23418233,23418228,25144602,21589052,15563254,15563255,21589040,22680575,22680574,30057229,29687494,26947659,26947658,35028300,30058786,30058785,30058789,22681988,16483755,16483756,22681990,30058793,28835879,28835880,25088167,18543138,13175693,8981448,8981452,13175701,10588627,10588626,15331091,21298721,25089327,18544034,13176265,13175937,13175935,18543514,18940136,17299398,17299346,12177406,12177407,17299347,23370092,30796474,34564572,30802464,30802463,39407020,47430864,37523392,28979619,21697197,15657189,15657191,21697198,28835887,21564490,15542556,10749203,7101763,4471343,4471346,2880829,2686080,2686083,4103397,2454462,2454464,2879701,2879702,4777893,4777894,6890209,4325509,4325506,6890199,10452346,15156005,268081040,10753297,7104376,7104377,10753300,12174476,17295834,15151722,10449555,10449554,15151720,254104468,11380691,11380693,16348127,11375689,7557614,7557611,11375755,7557518,4778912,2879985,2879986,4778916,7557519,11375398,11375743,11375744,16348183,22519832,22526640,16353726,11380358,11380357,11361484,11361481,16330354,16348071,16348073,22521275,254554192,29882419,22527052,16354229,14435389,14435388,11742434,11742433,14435893,9930228,6526172,4088948,4088946,6526120,6526063,6526068,9930066,9929736,6525868,4088782,4088693,2446040,2446041,4088697,6525713,9927343,14431867,17514551,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391373,11143510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6517526, s2 = 9372973, dlinesl.size( ) = 2 s1 = 6517526, s2 = 9372973, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6517526, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 6645614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6645614, s2 = 10765456, int(edited[s2]) = 0 s1 = 6645614, s2 = 10765456, d1 = 8, d2 = 43 Dl.O(d1) = 256903460 Dl.O(d2) = 60359048,73097301,255835440,44752815,35326222,255404102,55661340,55661341,68058291,81545095,74194643,256326614,55661348,48963882,48963883,60359042,59234710,59234709,71972401,59234712,47837421,37916129,29347206,22015173,22015172,29347203,37916123,47837411,59234698,71972390,85559621,99506082,258057496,269782176,71972386,59234695,47837408,47837409,59234696,71972388,258681778,71972139,59234444,47837189,47837190,59234445,71972142,71972145,71972148,258279178,64386797,59234455,59234456,61761543,50282060,50282059,61761541,74544893,258279176,59234448,47837191,37915910,37915909,29346967,29346966,37915907,42794743,33763169,33763170,42794745,53246938,65236486,269798674,259130044,64386796,258279174,71972136,258901592,85559342,270310866,92574063,259341926,127169468,127169467,127179901,113320392,99316886,85372090,71782785,59041066,47639180,47639181,59041067,71782786,85372094,272198942,259959120,85372098,271323633,259960165,99316888,85372091,85372092,99316889,113320397,127179904,261686282,113320408,113320409,113320413,261136930,113320406,127179907,127179908,113320407,99316899,259340130,59041071,47639186,269329157,71782792,71782788,59041069,47639185,37716809,37716808,47639183,59041068,59041075,47639188,37716811,256358558,21847433,268625319,257481547,71782790,71782798,259340132,59041078,269328816,37716812,37716815,29156170,256359779,47639191,59041082,71782802,85372107,71782806,59041085,47639193,47639192,59041084,270310699,271323314,258715285,71782801,59041081,59041080,71782800,259341255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6645614, s2 = 10765456, dlinesl.size( ) = 2 s1 = 6645614, s2 = 10765456, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6645614, Dl.E( ) = 44, 1.91e-05 seconds used appending s1 = 9359800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 901485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 901485, s2 = 6493672, int(edited[s2]) = 0 s1 = 901485, s2 = 6493672, d1 = 7, d2 = 10 Dl.O(d1) = 22935805 Dl.O(d2) = 255192595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 901485, s2 = 6493672, dlinesl.size( ) = 2 s1 = 901485, s2 = 6493672, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 901485, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 1887983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 901862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9454366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9428056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 175753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16300062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16300062, s2 = 7856288, int(edited[s2]) = 0 s1 = 16300062, s2 = 7856288, d1 = 1, d2 = 27 Dl.O(d1) = 71549637,257469627,37527751 Dl.O(d2) = 268244484,30668698,30668699,30690583,30661631,23243827,16976831,11889852,7949659,7949662,11889864,16976852,16727286,16727287,16980063,254257902,10835277,7983429,5081015,254257602,267838926,12485987,16766110,11719259,7821340,4963442,2997709,2997710,4963445,7821345,11719262,16766114,12011417,12011416,11874535,7937803,5048014,3058141,1782569,1016548,1016549,1782575,3058161,5048034,7937825,11874559,12011406,8069417,5163801,5163800,7971634,7971632,10835278,7162445,4511043,254228475,254121233,503805,892877,892881,892882,1570381,2710713,4511097,4737208,2855066,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794759,3076176,3315418,5391670,8353266,7985329,5082147,5082146,7985326,11932514,17016739,21201559,21201561,17521618,17521619,12362232,8353098,8353099,12357793,8349587,8349588,12357794,16986833,11901525,11901524,11160041,7402552,7402554,5254406,3210983,3210984,5063054,5063056,7470484,7470485,5464468,5464466,4929426,4929427,7503669,4889576,2946550,1708896,971406,547095,306380,306381,547096,254126461,547008,971250,1708660,268650496,7723840,268039121,254675768,19591639,24718939,18905212,13473599,9215108,9215109,13473605,18495454,18495485,13140140,8955652,5845530,3647843,3647844,5845535,8955665,13140162,255036460,18091298,24522532,32097787,24976285,24976286,22618526,16433851,16433852,22618528,18097721,12831625,12831623,13108973,13108972,13137125,8953493,8953495,13026922,8934340,5831482,3638780,2174508,1259528,1259525,2174524,3638982,5831925,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8812599,6011530,6011533,3812680,3812679,5831515,5831516,8934396,13109126,18453429,13108965,8934286,8934287,13108968,18453431,254664846,8934297,8934300,13108999,18453469,24973703,24974133,18453938,13109393,13109394,18453940,16634737,16634736,22861389,30256766,38840321,48759764,60153549,71826022,59085480,48587731,48587730,38840414,34133366 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684112, s2 = 9682167, int(edited[s2]) = 0 s1 = 9684112, s2 = 9682167, d1 = 8, d2 = 10 Dl.O(d1) = 257668945,61739541,74521360,88133449,102121137,116178590,130086129,143414188,155952728,167563972,262356112,273377132,262317502,132896846,119077017,104890973,90720057,76848319,63743730,51933652,41630623,32724284,32724285,41630624,51933651,59397632,50361334,40334019,256037765,17773801,16738192,16738191,17370444,12238104,8263737,5331586,5331585,5331582,3277170,3277131,3277130,5331503,8263613,12237910,12240280,12240278,12301496,16165854,11233198,11233199,7461317,7461316,8264106,7799395,4945899,2985086,1733069,1733067,1647045,936502,936503,1647053,2839297,2529158,2529157,2985031,2985030,4945809,7799252,11694021,12563872,12577010,8530340,5528366,3414238,3414239,2839091,2839090,4712722,254773893,254869257,5528289,3414188,2015154,2015155,3414196,4712251,2838796,2838793,3286235,4712309,4712307,4713121,7458738,11237918,10757861,7107574,7107571,4710470,2837680,1646147,936051,527508,527510,527475,295537,163461,163462,295544,295507,295505,527418,935888,936114,936113,1646269,2837862,4710748,4713960,5532580,5525580,5525581,8526950,5565331,4710519,4710516,3390615,3390617,3412025,3412024,2042657,2042659,3404302,3404303,2837488,2837489,3404919,2008183,2008184,1155789,648461,648462,652230,652233,647351,359183,196696,196695,359180,647346,1153915,2017062,1647516,936728,527844,295708,163541,89863,49419,27637,27636,49414,89850,163520,295672,527756,936544,1647135,2839441,4713273,7458961,5184399,5184400,254826811,7458570,4713000,4713001,7458572,11237729,16167591,16167590,16168261,11235900,7456952,4711843,4711842,7456442,7456443,11235364,11594344,7718113,4885072,4884859,4884860,7456167,4711240,4711239,7456165,9192135,9192134,12608256,268116413,8489854,5490767,3381339,267846801,3445379,3445380,5560923,6013586,6013584,9188054,12560541,12560542,12612262,8582338,254874187,16889582,11818431,7896629,255134543,10386689,6845137,6845138,10386691,15062054,20972458,28150537,36623920,38960907,30375857,22974669,16738199,12036788,11236258,11236257,16168611,12312571,11238505,8545059,8545058,12593900,11237563,7458439,4712921,2839220,1647016,1647015,2839213,4712908,7458423,7799445,11694243,16737677,22974226,21892355,268394897,17370735,12238484,8264120,5331871,5331870,7458455,4712931,2839228,1647021,1647022,1647372,1647373,2839913,4714139,6750532,6750531,7455619,8092313,8525092,7461302,7456773,7456774,4711713,3435587,3435589,2840432,2837902,1646296,936131,527543,527541,295708,163541,89863,49419,27637,27636,49414,89847,163513,295659,254124195,936655,1647375,1647019,1647020,2839225,4712930,7458453,7718109,4885070,2943585,1706992,970290,254166423,527804,295691,295692,527806 Dl.O(d2) = 1647377,2839915,2020951,1156422,254191013,3396293,3454638,2047453,1988260,1988261,254282229,5570594,8574694,254604519,3374351,254188249,1134504,1150305,254277849,3474110,2060967,2047426,2047425,2031243,1163305,1163304,2031241,1995054,1995055,3386888,5497079,3432005,2029544,1162147,1162146,2029543,2941219,2941220,3431778,2029360,1162004,652042,652041,1162002,969760,653705,653709,368744,368745,362482,198409,198406,195331,106668,106669,195250,106629,106627,106649,106651,107937,59274,33319,33320,33224,19052,19051,33218,59059,107451,196969,359695,648336,1155563,2019657,2032163,2032164,2025376,2025378,3427101,3413020,3413021,5526764,8528361,5548428,5548429,254871291,5596722,3473359,3473360,5483672,254274741,1986085,2023792,1167192,655089,655088,1167190,2027772,1174806,659502,365533,199905,194794,254090043,640228,1141292,1996974,3389416,5499804,8498306,255192817,255582411,31582918,40269955,50291203,61771008,61996190,61996191,74792642,88424838,102426275,116523271,130361544,143688257,156218914,262324814,187470989,195489401,202346867,208111932,208111923,202346857,263226942,178256578,167813672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684112, s2 = 9682167, dlinesl.size( ) = 2 s1 = 9684112, s2 = 9682167, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9684112, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 904607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655386, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 657910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 905816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 905816, s2 = 7924648, int(edited[s2]) = 0 s1 = 905816, s2 = 7924648, d1 = 9, d2 = 9 Dl.O(d1) = 23044675,16798921,11745799,7842030,4977954,4977953,7842028,11745794,16798917,23044667,30452976,39042344,48963575,48963576,48963577,60358687,73096849,73096848,86700262,100673455,114719838,126946405,128616621,119803990,105566797,91346280,91346279,105566795,260864839,261969127,170657674,176570916,176570917,185994109,194209835,201247069,207170694,212055361,215421643,211324322,206310501,200246737,193067662,184701801,175120354,164321462,152447834,139722155,126346200,112478568,259293687,259913244,46918765,46918766,258042706,70999844,58484245,255825470,28685140,28541914,255744620,13354002,9126059,9126062,8719835,5675878,3530442,3530444,5676344,8720525,8720590,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733501,254646051,13351261,9125412,9125411,6519037,6519038,9919145,13364072,9133207,9133204,6529882,4091529,2447956,2447955,4091525,6529879,9935305,14192644,14419473,20108785,255049844,44459061,55303893,67642609,81108967,95167577,109423990,123618032,137350598,150392032,261127274,127299147,113440536,99438654,85497238,71912321,59174551,47775802 Dl.O(d2) = 23044675,16798921,11745799,7842030,4977954,4977953,7842028,11745794,16798917,23044667,30452976,39042344,48963575,48963576,48963577,60358687,73096849,73096848,86700262,100673455,114719838,126946405,128616621,119803990,105566797,91346280,91346279,105566795,260864839,261969127,170657674,176570916,176570917,185994109,194209835,201247069,207170694,212055361,215421643,211324322,206310501,200246737,193067662,184701801,175120354,164321462,152447834,139722155,126346200,112478568,259293687,259913244,46918765,46918766,258042706,70999844,58484245,255825470,28685140,28541914,255744620,13354002,9126059,9126062,8719835,5675878,3530442,3530444,5676344,8720525,8720590,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733501,254646051,13351261,9125412,9125411,6519037,6519038,9919145,13364072,9133207,9133204,6529882,4091529,2447956,2447955,4091525,6529879,9935305,14192644,14419473,20108785,255049844,44459061,55303893,67642609,81108967,95167577,109423990,123618032,137350598,150392032,261127274,127299147,113440536,99438654,85497238,71912321,59174551,47775802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 905816, s2 = 7924648, dlinesl.size( ) = 2 s1 = 905816, s2 = 7924648, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 905816, Dl.E( ) = 10, 1.19e-05 seconds used appending s1 = 658010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 906095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 658729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6620375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13386889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13302487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 907504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 464327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163692, s2 = 14162409, int(edited[s2]) = 0 s1 = 14163692, s2 = 14162409, d1 = 1, d2 = 1 Dl.O(d1) = 104094838,95101620,81044181,81044180,67576142,55233617,44383353,44383354,269635233,67576143,64395623,52521784,42163580,33203622,33203623,42163582,52521787,52521778,52521779,268413912,52521794,52521793,256644323,25456584,25456583,32723995,25037001,18503366,13146034,13146036,18503370,25037009,24148671,24148670,31658917,40353670,50333593,40307550,255860210,268928668,44383364,41246914,41246875,32420175,32420174,41246874,32724018,25037021,25037022,32724019,40307549,41246909,41630271,41246866,32420166,24794030,24044877,24044878,31548342,32420215,37602366,47506178,41246902,256085121,18310721,12998127,8849384,5767522,5767521,8849383,255230193,24794092,32420230,41246905,32420208,32420209,41246906,51446661,63146256,76154788,270473803,269462087,51446660,63146253,75983736,63000942,51321733,51321732,63000940,63000944,51321735,51321734,63000935,51321730,51321731,63000937,75983735,75929429,62948404,257139373,24676994,256587543,51273984,51273983,51273984,62948405,270359805,101109944,114207952,100175427,86211487,72612885,72612884,259405201,73280533,60536212,49136096,39209250,30613057,30613056,30613058,23193165,16926009,16926008,16926011,11846343,7917600,5033710,3047726,1775495,1012304,570630,319636,176773,176772,254102815,1012278,1775447,3047630,4989791,3014008,1750781,995606,254102071,173570,95496,95495,173584,313882,560586,995709,996982,561958,314686,314685,561957,997737,1753583,3017673,4991021,3015007,1751524,996150,996149,562167,562168,560930,314078,314077,560926,560957,996261,1751693,3015187,1751752,1751751,254556931,3018136,3018137,4995359,4990801,3018140,1753934,1753935,3018143,4995369,7869255,7869254,11785573,16852146,23110724,23110692,16852117,16852116,11785574,11785575,16852149,16851208,16851209,23109637,23096724,16841085,11777242,7863275,7863276,11777243,16841083,23096720,30512206,24716204,18243163,17942431,12714101,8638680,8638681,12714102,12714090,12714092,12849524,18121642,24560422,32142723,24871295,24871294,24684753,18218140,12921816,8790289,8641705,254423709,2074024,1191468,669915,372075,204741,111946,111362,61285,34351,34347,35498,35494,64465,64463,64461,64372,64374,64545,36852,36851,62999,115197,210547,382640,685854,1214907,2108969,1224499,1224500,254145736,3543072,5694691,8746841,8746839,7919392,7919393,8754704,8754705,12873368,11848927,254561187,3048570,1776060,1012606,570793,570794,1012609,1776063,3048576,254561189,5033422,3047501,3047502,5033423,7917222,7917221,255137051,23192314,30611998,39208148,49135074,60535164,73279508,258728992,81133958,80385025,66955433,54696541,43952750,269174851,66955435,80385027,94443796,108735853,114700121,114700120,128596834,137283048,123550861,109359281,95105083,81047665,67579820,257058070,35010527,255555930,20043202,26928800,35010529,44387955,55237669,67579825,81047676,95105101,95105098,81047673,81047674,95105100,109359299,110090843,124211117,137845431,137845430,128446718,114562937,100532481,100532480,99459151,99459150,113469394,99459153,85513229,71925655,59186263,256914421,37862005,47786316,258104723,59186271,47786318,256371881,21965553,21965552,29292745,29292747,255440195,11000384,11000383,15871367,21965537,29292716,29292723,30512208,30512207,37861977,29292720,256371879,47786290,59186232,257643528,256514442,29568577,29568578,268941811,258728521,71925605,71925606,59186281,59186280,59186248,59186247,62710777,62710775,62710776,75655792,75655796,85513170,85513171,99459097,109855415,95652185,95652186,109855417,109855420,258897708,73241423,60494616,60494615,73241421,259353597,71925617,59186238,59186237,68113366,55717071,44810606,35386136,35386137,44810607,44810038,35385576,35385577,27260876,27260875,35386149,35385638,256766319,44810613,35386139,256766381,51418521,41221800,32398172,24774988,18295310,18295312,24774983,27260503,20326339,14587336,14587339,20326345,27260511,27260565,20326383,20326382,20326461,268343651,27260293,20326157,20326155,27260289,256239665,27260609,35385476,255762019,20326082,20326308,27260470,27260348,20326199,14587231,14587230,10037441,6596348,4132540,2472049,1428978,812949,460809,259943,259942,460806,812944,1428969,2472030,4132514,6596311,10037376,14587333,20326335,27260493,27260452,27260453,35385629,27260335,20326287,14587298,14587299,14587157,10037250,10037252,14587159,20326103,20326509,26642315,26642314,20326087,14587150,10037247,6596245,6596244,10037243,10037362,6596299,254697749,14587297,14204644,9764802,9764803,14204646,255343763,14587169,10037255,10037240,269653116,2472009,4132471,6596242,10037236,6596377,4132557,2472059,1428982,812952,460810,460811,812954,1428988,2472075,4132588,6596429,10037575,14587559,20326636,27260661,20326500,254987123,6596357,4132544,2472054,2472051,254476583,4132580,254697767,14587533,20326599,23003718,16764128,11716618,11716617,16764126,23003716,30408539,38997596,48921489,42696109,33665300,27260648,20326483,14587437,14587438,20326486,255343757,10037526,10037525,14587549,20326627,27260812,35385941,27260698,20326541,20326542,27260701,27260712,20326549,20326550,27260713,25858935,25858934,33665286,33197807,33197806,42157521,52515785,64389689,55716858,55716857,59601080,48213539,38303312,29735347,22377587,16221449,11276630,11276631,15461105,21461303,28717207,26642285,26642286,28717186,37248030,28717079,21461151,255037003,10690317,15461000,21461066,28716981,37247928,37247910,28716957,21461049,15460918,15460919,19445284,26142385,28716968,28716967,24945353,18430991,18430990,19445307,21461081,15460947,15460946,21461080,21461281,15461087,15461088,21461284,28717236,33508362,33508361,26617352,19808191,14188455,9753581,9753583,13635077,19097806,25729635,33480382,25706884,256147343,42473887,42507170,42473937,33480435,28588441,28588440,33480366,25706858,25706857,33480363,37094934,28588544,28588543,37094932,42473982,33480510,25707010,25707009,33480506,42473977,52877917,257434292,37094839,46978171,58347371,46978309,46978310,46978133,37094811,28588458,21357440,255828741,37094813,46978136,58347474,58347475,52877914,52877913,58347364,71063724,71064003,84627525,84627358,71063742,71063743,83834812,70309683,70309682,70309671,57619192,57619191,70309668,62101669,50603144,40562163,40562164,50603151,58347356,58347358,71063715,73281365,60537212,60537213,73281367,86892311,87064243,87064242,98551360,98551484,84627515,71063984,71063986,71063793,58347451,58347449,71063786,84627381,71063777,58347441,58347440,71017582,71017581,84581817,91965754,84627452,71063876,58347530,46978170,37094880,37094881,46978236,58347607,65731215,65731214,57619204,46274771,36422136,27963811,27963810,31860496,24338311,24338310,31860490,40562177,46978120,37094799,37094798,46978113,269416965,40562171,40562172,50603165,62101692,258862402,88336580,88336585,88336586,258239972,98328621,88336582,74708202,74708203,257630810,74708320,74708321,81569669,81569671,258239962,71509179,58780033,47392992,37485414,28943507,28943506,37485411,47392986,58780027,50987358,49115089,49115090,60517241,60517249,59600875,48213357,48213358,48213393,269342145,48213364,44772237,44772235,257043984,256957671,29910512,256415321,48369798,59752352,59752291,48369732,38468160,29910481,29910482,29735258,22377498,22377499,29735259,38303218,48213426,59600952,67191705,72336214,269766648,72336222,72336223,72336109,59600795,48213273,48213272,52570324,42209790,33248103,33248102,42209845,51106296,42210114,42210115,52570727,64445804,77613689,77613688,64445450,52570338 Dl.O(d2) = 104094838,95101620,81044181,81044180,67576142,55233617,44383353,44383354,269635233,67576143,64395623,52521784,42163580,33203622,33203623,42163582,52521787,52521778,52521779,268413912,52521794,52521793,256644323,25456584,25456583,32723995,25037001,18503366,13146034,13146036,18503370,25037009,24148671,24148670,31658917,40353670,50333593,40307550,255860210,268928668,44383364,41246914,41246875,32420175,32420174,41246874,32724018,25037021,25037022,32724019,40307549,41246909,41630271,41246866,32420166,24794030,24044877,24044878,31548342,32420215,37602366,47506178,41246902,256085121,18310721,12998127,8849384,5767522,5767521,8849383,255230193,24794092,32420230,41246905,32420208,32420209,41246906,51446661,63146256,76154788,270473803,269462087,51446660,63146253,75983736,63000942,51321733,51321732,63000940,63000944,51321735,51321734,63000935,51321730,51321731,63000937,75983735,75929429,62948404,257139373,24676994,256587543,51273984,51273983,51273984,62948405,270359805,101109944,114207952,100175427,86211487,72612885,72612884,259405201,73280533,60536212,49136096,39209250,30613057,30613056,30613058,23193165,16926009,16926008,16926011,11846343,7917600,5033710,3047726,1775495,1012304,570630,319636,176773,176772,254102815,1012278,1775447,3047630,4989791,3014008,1750781,995606,254102071,173570,95496,95495,173584,313882,560586,995709,996982,561958,314686,314685,561957,997737,1753583,3017673,4991021,3015007,1751524,996150,996149,562167,562168,560930,314078,314077,560926,560957,996261,1751693,3015187,1751752,1751751,254556931,3018136,3018137,4995359,4990801,3018140,1753934,1753935,3018143,4995369,7869255,7869254,11785573,16852146,23110724,23110692,16852117,16852116,11785574,11785575,16852149,16851208,16851209,23109637,23096724,16841085,11777242,7863275,7863276,11777243,16841083,23096720,30512206,24716204,18243163,17942431,12714101,8638680,8638681,12714102,12714090,12714092,12849524,18121642,24560422,32142723,24871295,24871294,24684753,18218140,12921816,8790289,8641705,254423709,2074024,1191468,669915,372075,204741,111946,111362,61285,34351,34347,35498,35494,64465,64463,64461,64372,64374,64545,36852,36851,62999,115197,210547,382640,685854,1214907,2108969,1224499,1224500,254145736,3543072,5694691,8746841,8746839,7919392,7919393,8754704,8754705,12873368,11848927,254561187,3048570,1776060,1012606,570793,570794,1012609,1776063,3048576,254561189,5033422,3047501,3047502,5033423,7917222,7917221,255137051,23192314,30611998,39208148,49135074,60535164,73279508,258728992,81133958,80385025,66955433,54696541,43952750,269174851,66955435,80385027,94443796,108735853,114700121,114700120,128596834,137283048,123550861,109359281,95105083,81047665,67579820,257058070,35010527,255555930,20043202,26928800,35010529,44387955,55237669,67579825,81047676,95105101,95105098,81047673,81047674,95105100,109359299,110090843,124211117,137845431,137845430,128446718,114562937,100532481,100532480,99459151,99459150,113469394,99459153,85513229,71925655,59186263,256914421,37862005,47786316,258104723,59186271,47786318,256371881,21965553,21965552,29292745,29292747,255440195,11000384,11000383,15871367,21965537,29292716,29292723,30512208,30512207,37861977,29292720,256371879,47786290,59186232,257643528,256514442,29568577,29568578,268941811,258728521,71925605,71925606,59186281,59186280,59186248,59186247,62710777,62710775,62710776,75655792,75655796,85513170,85513171,99459097,109855415,95652185,95652186,109855417,109855420,258897708,73241423,60494616,60494615,73241421,259353597,71925617,59186238,59186237,68113366,55717071,44810606,35386136,35386137,44810607,44810038,35385576,35385577,27260876,27260875,35386149,35385638,256766319,44810613,35386139,256766381,51418521,41221800,32398172,24774988,18295310,18295312,24774983,27260503,20326339,14587336,14587339,20326345,27260511,27260565,20326383,20326382,20326461,268343651,27260293,20326157,20326155,27260289,256239665,27260609,35385476,255762019,20326082,20326308,27260470,27260348,20326199,14587231,14587230,10037441,6596348,4132540,2472049,1428978,812949,460809,259943,259942,460806,812944,1428969,2472030,4132514,6596311,10037376,14587333,20326335,27260493,27260452,27260453,35385629,27260335,20326287,14587298,14587299,14587157,10037250,10037252,14587159,20326103,20326509,26642315,26642314,20326087,14587150,10037247,6596245,6596244,10037243,10037362,6596299,254697749,14587297,14204644,9764802,9764803,14204646,255343763,14587169,10037255,10037240,269653116,2472009,4132471,6596242,10037236,6596377,4132557,2472059,1428982,812952,460810,460811,812954,1428988,2472075,4132588,6596429,10037575,14587559,20326636,27260661,20326500,254987123,6596357,4132544,2472054,2472051,254476583,4132580,254697767,14587533,20326599,23003718,16764128,11716618,11716617,16764126,23003716,30408539,38997596,48921489,42696109,33665300,27260648,20326483,14587437,14587438,20326486,255343757,10037526,10037525,14587549,20326627,27260812,35385941,27260698,20326541,20326542,27260701,27260712,20326549,20326550,27260713,25858935,25858934,33665286,33197807,33197806,42157521,52515785,64389689,55716858,55716857,59601080,48213539,38303312,29735347,22377587,16221449,11276630,11276631,15461105,21461303,28717207,26642285,26642286,28717186,37248030,28717079,21461151,255037003,10690317,15461000,21461066,28716981,37247928,37247910,28716957,21461049,15460918,15460919,19445284,26142385,28716968,28716967,24945353,18430991,18430990,19445307,21461081,15460947,15460946,21461080,21461281,15461087,15461088,21461284,28717236,33508362,33508361,26617352,19808191,14188455,9753581,9753583,13635077,19097806,25729635,33480382,25706884,256147343,42473887,42507170,42473937,33480435,28588441,28588440,33480366,25706858,25706857,33480363,37094934,28588544,28588543,37094932,42473982,33480510,25707010,25707009,33480506,42473977,52877917,257434292,37094839,46978171,58347371,46978309,46978310,46978133,37094811,28588458,21357440,255828741,37094813,46978136,58347474,58347475,52877914,52877913,58347364,71063724,71064003,84627525,84627358,71063742,71063743,83834812,70309683,70309682,70309671,57619192,57619191,70309668,62101669,50603144,40562163,40562164,50603151,58347356,58347358,71063715,73281365,60537212,60537213,73281367,86892311,87064243,87064242,98551360,98551484,84627515,71063984,71063986,71063793,58347451,58347449,71063786,84627381,71063777,58347441,58347440,71017582,71017581,84581817,91965754,84627452,71063876,58347530,46978170,37094880,37094881,46978236,58347607,65731215,65731214,57619204,46274771,36422136,27963811,27963810,31860496,24338311,24338310,31860490,40562177,46978120,37094799,37094798,46978113,269416965,40562171,40562172,50603165,62101692,258862402,88336580,88336585,88336586,258239972,98328621,88336582,74708202,74708203,257630810,74708320,74708321,81569669,81569671,258239962,71509179,58780033,47392992,37485414,28943507,28943506,37485411,47392986,58780027,50987358,49115089,49115090,60517241,60517249,59600875,48213357,48213358,48213393,269342145,48213364,44772237,44772235,257043984,256957671,29910512,256415321,48369798,59752352,59752291,48369732,38468160,29910481,29910482,29735258,22377498,22377499,29735259,38303218,48213426,59600952,67191705,72336214,269766648,72336222,72336223,72336109,59600795,48213273,48213272,52570324,42209790,33248103,33248102,42209845,51106296,42210114,42210115,52570727,64445804,77613689,77613688,64445450,52570338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163692, s2 = 14162409, dlinesl.size( ) = 2 s1 = 14163692, s2 = 14162409, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163692, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 8048999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8048999, s2 = 10344394, int(edited[s2]) = 0 s1 = 8048999, s2 = 10344394, d1 = 75, d2 = 6 Dl.O(d1) = 7169248,4515272,2713061,2713060,4515263,7169229,10844885,9190854,9190855,13441461,255974946,255142154,30706759,33028346,25302177,18727401,18727402,25302183,33028352,39305475,49231322,39304525,30706684,23290779,17031097,11945692,7995819,7995818,11945687,17030278,17030279,18727363,13331727,9109138,9109139,13331732,18727366,25302136,33028304,39500101,39304197,30706317,30706318,39304199,39169564,30571289,30571288,30571322,30571325,30571329,25302091,23291332,17031527,11946010,11946009,17031522,23291322,30707643,39303872,30705992,30705991,33028339,25302169,18727396,18727397,23291342,23291391,23291392,30707725,39305479,41971426,41971407,33028271,25302099,18727341,13331717,9109133,9109134,13331722,18727359,25302123,33028291,30707716,23291386,23291385,23459939,23459940,30892871,25464769,25464768,33212378,39305427,30707665,25302129,25302128,28418699,21196378,15232268,15232269,21196381,23291324,23291327,30707638,30707634,39305395,49232087,60633058,73216259,60631974,49431255,41971462,41971463,49232114,39305468,30707719,30707721,39305472,49232132,46794448,46794450,52311987,41971402,33028265,25302094,25302096,33028269,33028282,41971415,52311994,47896971,47896977,39500147,39500120,30892886,23459952,23459953,23460003,30707733,30707731,39303150,30705351,30705352,23291366,17031554,17031553,23291362,30127107,38703820,39135539,39500087,38759834,30176809,30176810,38759826,30536604,23117809,16858283,16858284,23117815,30536616,30126076,22743601,16535691,16535687,22743588,23117782,21196460,15232309,15232308,21196454,23291004,17031274,15980189,15980192,22086461,29416778,37979634,47896932,39135438,30536534,23117765,16858261,16858258,23117751,23459995,30892935,39500161,39304468,33212411,33212414,30127169,22744590,16536504,11525704,11525703,16536497,16858289,23117823,30536630,38928093,38928092,48617616,38702829,30536646,23117830,23117829,30536641,31356374,39135586,38702903,38702901,38928098,47896997,47896998,49065770,46794464,36916685 Dl.O(d2) = 38098724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 909783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8195323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8195323, s2 = 11655957, int(edited[s2]) = 0 s1 = 8195323, s2 = 11655957, d1 = 1, d2 = 1 Dl.O(d1) = 255662324,15665037,12296616,12296618,17444360,15665052,15665051,21706907,28991198,29485752,22147385,16028385,16028384,22147383,29485750,29485804,22147443,22147444,29485806,29001813,21716295,21716296,16734064,11691341,7797409,7797410,11691342,16734067,22558529,16380179,11400039,11400040,16380162,22558516,24058432,24058431,29573086,22226246,16092874,16092875,22226247,29573090,23813847,17479597,12324067,12324066,12324068,12324069,256013255,24194925,17825736,17779968,12583190,8535823,8535824,12583191,17779969,20056822,254971925,7195701,7195702,10882978,15719756,21778801,21203806,20108839,14419569,9918025,9918024,12206985,17332095,23649045,18609060,18609059,25167001,32874732,255230142,36926103,32899954,254432380,18629091,25189713,254897240,41796030,32874708,32874707,41796029,46515374,52110240,268718290,46515414,57871391,70572824,57871382,57871383,48637267,48637268,41823828,41823827,48637259,38719360,38719359,268992737,38940914,30354677,256452461,48860461,40936278,40936277,51078066,51078070,48799722,48799721,60196502,72935819,60498051,60498050,60498031,49094492,39164487,30566762,23149381,19037995,19037994,268497677,39164471,30566740,23149359,255134449,7895523,7895524,268050033,20240115,23291869,23291870,30708205,31302969,23816241,23816242,31302970,39977765,37516466,28972918,21690642,21690641,28972916,37516463,47424253,58811412,47538613,37632775,29082479,21784693,21784692,29082478,37632774,40048916,40048915,37516481,37516480,37516532,28972967,28972968,37516533,46269603,36416993,36416994,46269605,37516485,28972929,21690647,15650876,10832877,7160934,4510147,2710139,1570033,1570032,2710137,4510138,7160918,10832846,15650834,20274479,27201502,35325693,44752109,37081695,37081694,46962635,58330102,59796287,72531408,71773301,71773302,74227481,61448155,49970480,49970482,58744998,61448153,49970476,47357652,37451092,28911507,28911506,37451111,47357670,49772530,61251152,49772533,49772534,47351468,255794942,49772534,47351468,37444899 Dl.O(d2) = 255662324,15665037,12296616,12296618,17444360,15665052,15665051,21706907,28991198,29485752,22147385,16028385,16028384,22147383,29485750,29485804,22147443,22147444,29485806,29001813,21716295,21716296,16734064,11691341,7797409,7797410,11691342,16734067,22558529,16380179,11400039,11400040,16380162,22558516,24058432,24058431,29573086,22226246,16092874,16092875,22226247,29573090,23813847,17479597,12324067,12324066,12324068,12324069,256013255,24194925,17825736,17779968,12583190,8535823,8535824,12583191,17779969,20056822,254971925,7195701,7195702,10882978,15719756,21778801,21203806,20108839,14419569,9918025,9918024,12206985,17332095,23649045,18609060,18609059,25167001,32874732,255230142,36926103,32899954,254432380,18629091,25189713,254897240,41796030,32874708,32874707,41796029,46515374,52110240,268718290,46515414,57871391,70572824,57871382,57871383,48637267,48637268,41823828,41823827,48637259,38719360,38719359,268992737,38940914,30354677,256452461,48860461,40936278,40936277,51078066,51078070,48799722,48799721,60196502,72935819,60498051,60498050,60498031,49094492,39164487,30566762,23149381,19037995,19037994,268497677,39164471,30566740,23149359,255134449,7895523,7895524,268050033,20240115,23291869,23291870,30708205,31302969,23816241,23816242,31302970,39977765,37516466,28972918,21690642,21690641,28972916,37516463,47424253,58811412,47538613,37632775,29082479,21784693,21784692,29082478,37632774,40048916,40048915,37516481,37516480,37516532,28972967,28972968,37516533,46269603,36416993,36416994,46269605,37516485,28972929,21690647,15650876,10832877,7160934,4510147,2710139,1570033,1570032,2710137,4510138,7160918,10832846,15650834,20274479,27201502,35325693,44752109,37081695,37081694,46962635,58330102,59796287,72531408,71773301,71773302,74227481,61448155,49970480,49970482,58744998,61448153,49970476,47357652,37451092,28911507,28911506,37451111,47357670,49772530,61251152,49772533,49772534,47351468,255794942,49772534,47351468,37444899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8195323, s2 = 11655957, dlinesl.size( ) = 2 s1 = 8195323, s2 = 11655957, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8195323, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13961953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13961953, s2 = 14559933, int(edited[s2]) = 0 s1 = 13961953, s2 = 14559933, d1 = 40, d2 = 2 Dl.O(d1) = 40377112,50411693,42264264,33284491,33284490,30264947,22868472,16640651,255501563,255501567,30264973,38526645,38526647,42376096,40466057,31771187,31771188,40466061,256419599,22596476,16413358,16413357,22596473,29961093,38526625,36743624,36743623,37788738,29226803,29226802,37788736,255921989,16413354,16413351,22596464,29961078,38526600,38848783,256366588,48406338,48406337,49883485,48434597,38526643,29961104,22596484,16413363,11429158,7597889,4806227,4806228,7597893,11429163,16413373,22596506,17366702,12235292,12235294,17366686,23688370,31177501,29961068,22596451,16413344,16413345,16413348,22596459,256419591,31177499,29226772,21910761,21910762,23688383,31177516,37788717,47709720,38385907,38385906,47709723,47709722,59107816,59107834,59107835,48406340,38500850,29937617,22574970,22574969,29937615,37788711,29226780,29226779,37788710,47708921,47708920,59107048,256366592,47709724,47708924,37787888,37787887,47708922,47709752,256365909,21910813,268079605 Dl.O(d2) = 18823853,13411397,254648863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13961953, s2 = 14559933, dlinesl.size( ) = 8 s1 = 910800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 910800, s2 = 11105780, int(edited[s2]) = 0 s1 = 910800, s2 = 11105780, d1 = 26, d2 = 22 Dl.O(d1) = 23158194 Dl.O(d2) = 21706825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 910800, s2 = 11105780, dlinesl.size( ) = 32 s1 = 6559837, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7972294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7972294, s2 = 6559847, int(edited[s2]) = 0 s1 = 7972294, s2 = 6559847, d1 = 1, d2 = 1 Dl.O(d1) = 257490552,8378097,8378098,12377136,12377137,17546891,23893146,31389073,31388545,255567911,17545886,15743679,10903661,10903660,11170168,11170167,8608400,5594076,5594077,8608402,12675874,255178794,17913980,268256710,25569009,25569008,268385214,31205854,31198070,25547879,255266329,9235979,9235978,8372579,8372578,11825185,7902742,5023535,5023536,7902749,11825197,16897701,255965293 Dl.O(d2) = 257490552,8378097,8378098,12377136,12377137,17546891,23893146,31389073,31388545,255567911,17545886,15743679,10903661,10903660,11170168,11170167,8608400,5594076,5594077,8608402,12675874,255178794,17913980,268256710,25569009,25569008,268385214,31205854,31198070,25547879,255266329,9235979,9235978,8372579,8372578,11825185,7902742,5023535,5023536,7902749,11825197,16897701,255965293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7972294, s2 = 6559847, dlinesl.size( ) = 2 s1 = 7972294, s2 = 6559847, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7972294, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6559846, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 623152, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6553654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553654, s2 = 11299415, int(edited[s2]) = 0 s1 = 6553654, s2 = 11299415, d1 = 55, d2 = 34 Dl.O(d1) = 255899152 Dl.O(d2) = 138958589,125620330,111805749,257180598,70470940,57771590,46417805,36554583,28085611,20912453,15007299,10337291,10337290,15007298,20912454,28085613,31533294,31533295,39262655,39262656,257598107,60588810,73333141,86943859,100926574,114980425,128882587,261789645,166569799,177144133,186492719,194640623,201618344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6553654, s2 = 11299415, dlinesl.size( ) = 2 s1 = 6553654, s2 = 11299415, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6553654, Dl.E( ) = 80, 2.41e-05 seconds used appending s1 = 663926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8123554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 913933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163448, s2 = 664405, int(edited[s2]) = 0 s1 = 14163448, s2 = 664405, d1 = 7, d2 = 4 Dl.O(d1) = 112587791,106065150,91869047,77944285,64750012,52830586,42426328,33433900,25664483,19044614,18215473,12919828,9354847,6127540,3833728,2296898,2296899,3833702,6126824,6097886,6097887,6291841,9426746,6176835,6176837,7141008,7141010,9473872,6211967,3888175,3888176,6211970,9473873,6211982,6211981,9473909,10044072,6600551,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705326,3660296,3660294,5862836,8979942,13173308,18539758,21072503,21464366,15463601,12737546,8655530,8655529,10788805,10788803,15595742,12558145,12093764,8133069,8133068,12093759,13587041,9303389,6094298,3813013,3813012,3812999,2284112,2284114,3813007,6094283,6787921,10318109,14986637,15598690,10790843,7129250,7129249,10790841,15598699,14597228,10044157,10044156,14597221,19029200,13582807,13582805,10021485,10021484,11339249,16297439,22465564,254712370,22383642,22383645,27274911,28141833,28901975,21627312,15596459,15596458,21627311,22277549,27276768,20911446,20345776,20345775,254326266,16525393,22721597,22730430,22730431,254219306,10042790,6599750,4134633,4134631,4699182,4699131,4699134,7436679,11207904,14967750,10299896,10299894,12005208,12005209,14902178,14902177,20794606,22369012,22129401,16014608,11119126,11119125,268221387,256744373,35078945,34698511,26704021 Dl.O(d2) = 34698510,42586153,50233960,61713295,74494886,270390393,74494888,73317939,60575224,49176419,39251376,39251375,39251377,49176420,258204959,86927469,86927467,73317941,73317940,86927464,100907633,88331525,74703817,61910369,50419932,50419933,258288259,88331521,86927470,73317942,60575226,257016965,30655640,23234408,16961864,11873795,10831949,7160321,4509716,2709830,1569839,1569840,1020045,574764,574761,575708,1021757,1780690,1030352,1029737,580242,580246,1029751,1021687,1021684,1020216,574857,321755,321757,571435,571434,1013758,1778171,1798978,1026467,578326,578328,1026478,1027378,1021883,1021885,1027366,1800229,1791695,1791696,1569922,1023547,1020285,1020282,1789278,1790549,1026424,578308,578305,1026419,1026879,1026881,1016727,1016729,578509,578508,1026674,1026673,1799294,1791439,1021715,575685,575687,1021718,1013814,1013813,254252199,1016295,580715,578712,578711,1027125,1029695,580217,324484,324485,580219,894197,894196,1572712,1803689,1802528,1028999,579801,254130091,1802529,3069174,1789354,1789351,3069167,3072304,3072305,3078936,5068593,7966662,7935985,5046481,3314271,1949697,1113805,1113806,1949699,3078073,3078070,5056193,5051915,3072524,3072523,3072410,3072411,5056115,5056114,5083679,254534814,5055399,3070832,254378059,3077248,1795487,1795485,3060971,5052385,5060140,4767701,3075968,3075965,2714810,1573000,1572999,2714802,1786904,1786906,3065430,1786883,1018885,1018884,1786881,3065423,5059693,5057506,5057504,3070020,3070023,1805785,1031199,1024310,1024311,1795315,3076916,5074180,3194692,1869995,1869992,254390157,8164374,12134242,8351505,8351502,11930437,13713984,9393172,9393173,13713989,19201821,17021424,17006905,17006904,16727141,11684418,7791572,4940174,2981098,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080046,7981954,10848026,10848025,8003137,8003138,11955164,267837920,7170063,7170061,10845930,254534658,7952671,7952669,11893348,16958842,11870937,11870938,16958846,22949352,23268397,254088372,254130988,13190365,11948399,11948400,15666251,10845085,7169390,7169389,5060825,5060824,6153567,6153568,9393033,13409145,18821991,16967491,12011651,11877661,7940279,7940278,5164744,5164745,8070765,11924439,11924438,17010521,267901848,15716392,10879602,7192891,4531416,2723883,2723885,254177350,10879610,11932973,11932971,16724578,11682639,7790344,6153657,6153656,9393132,13713936,19201799,22337301,22337300,21782769,15723870,10887278,7777999,4929416,4929418,7778001,11667910,8231796,5303642,3254438,3254436,5303632,8231784,255550143,31130261,29054848,29054849,37602996,47506798,58885793,269873507,31362611,31362610,40042850,257652867,74316869,87920102,85782371,72188263,72188264,85782373,259990649,114099658,100068814,86103417,258772437,59770556,48387654,48387653,59770553,50225992,50225991,61707273,74490016,259505814,98607837,84682957,71118565,71118566,84682960,258881990,87591934,259482705,87591936,73991616,61212816,61212815,73991614,73991618,61212817,49734477,39715808,39715809,257627195,73991588,61212977,61212978,61212822,61212821,73991620,87591939,101554490,115590843,129475937,142797310,142797309,155384659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163448, s2 = 664405, dlinesl.size( ) = 2 s1 = 14163448, s2 = 664405, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163448, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6448573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8082507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13235205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13235205, s2 = 6560474, int(edited[s2]) = 0 s1 = 13235205, s2 = 6560474, d1 = 2, d2 = 1 Dl.O(d1) = 35182361,38031862,47945659,55408533,44560761,35182350,35182349,39723876,31045400,29563814,22218211,22218210,256390889,31240165,31240166,39915634,37976604,29413275,29413277,37976606,36752964,28257919,21056954,15125221,15125225,21056963,28257932,36752984,36886830,31827313,24309975,24309971,26342126,24891915,18391597,18391598,24891925,32253858,32253856,31239349,23755715,21867405,15842241,10978369,7266461,4582476,4582475,7266446,10978176 Dl.O(d2) = 255972161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13235205, s2 = 6560474, dlinesl.size( ) = 2 s1 = 13235205, s2 = 6560474, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13235205, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13184573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162502, s2 = 9024445, int(edited[s2]) = 0 s1 = 14162502, s2 = 9024445, d1 = 1, d2 = 1 Dl.O(d1) = 22497237,29860420,29750369,22390445,22390446,22516140,22516139,29873798,38433443,39851282,31169311,23681049,17360912,17360911,16318857,11353430,11353429,16318853,22478825,22478826,22471604,16302268,11343090,11343091,16302276,22471619,29839306,31169320,29842836,22475777,22475778,21081549,21081548,17271927,17271928,22516153,16342658,11371154,7554366,4777096,2879071,2879070,4777087,7554339,11371104,15978028,11091862,11091864,15978033,16768831,16768835,23008209,23680789,22482553,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884919,10443854,10443855,15142862,21081512,28287581,36783884,44420827,35046281,35046282,31025436,31025435,36811475,35355562,29349763,29349764,29355431,30072577,22692636,16491149,11489969,7642078,4834697,2913221,2913222,4834704,7642095,11490007,16491205,22692696,16923325,11843896,11843899,14935547,11045520,11045519,15922574,16326236,16326237,21093602,15151499,15151498,11343645,11343644,11381618,7561745,7561746,11381624,15922612,15922614,15995042,15995043,16357242,11383290,7562782,7562781,254347510,22529808,16357210,16357209,22529804,29884316,29862773,22500253,18591863,18591864,25148244,29872185,22513658,22513657,29872184,22650774,22025576,16356522,11382742,7562450,7562448,11382739,11358007,11358008,16325817,22500091,16325842,11358029,7546176,4772650,2876812,2876813,4772654,5257969,8188446,11035687,7310247,4613924,4613919,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554443,5266088,3220927,3220928,5266092,8196041,11375436,16347856,17289048,12168043,8199755,8199756,12168047,16335441,254080056,22504897,16330908,16330906,11367205,11367204,16326591,11358561,11358562,16326594,22500768,21093659,15151552,15151551,15909302,11367653,11367654,11361119,7548085,7548087,11361124,16329902,14485588,14485587,16339229,22507953,29867711,38325251,29884864,22530641,22530642,29865104,22508353,22508354,23589972,17278262,17278263,22031323,254266134,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,21612688,16333069,11363729,7549789,7549790,11363731,16333074,12132813,8162950,8162951,9929560,267770482,20126919,15584750,15584751,21614128,26043673,19364734,16335859,16335858,13850993,9501868,9501869,13850995,19364291,26043154,31077113,23593781,17281572,16541938,11528940,10020080,6585777,4126171,4126168,6585722,5207997,5207995,8128958,12088083,16297989,17862899,24237967,23472056,17190783,12087799,8128757,5207844,3177323,3177324,5207846,8128760,12087802,17190790,22367893,20823074,20823073,16518913,14596480,13307779,10384148,6843503,6843505,10384154,15058516,20968277,22722135,22722134,23263302,16999822,16999821,23263300,256474229,256448507,22903402,16672285,16672284,22903400,30302345,22903404,16672286,11637195,7752846,7752845,4910129,2959645,2959646,4910131,7752856,11637211,255504949,22903630,16672447,11637311,7752910,4910162,2959660,2959657,4910153,7752895,11637287,16672417,22903589,256311003,36985604,28488783,21272626,21272625,28488779,36985591,46864093,46830316,46830288,36952199,28451937,28451936,36952198,46830287,58196267,70908965,61675669,61675670,58196285,46830307,36952221,28451958,21225206,15255170,15255171,268379791,36952226,30302356,22903409,22903408,256992721,38888434,30302352,30302353,38888436,36952224,36952223,46830310,48810825,48810824,60207909,61409791,49930741,40334860,31645975,24139305,17775064,17775063,24139303,31645973,39912239,31236775,31236776,37928101,29361706,29361705,37928183,37345372,28807250,21540159,15524076,15524074,21540163,17493878 Dl.O(d2) = 22497237,29860420,29750369,22390445,22390446,22516140,22516139,29873798,38433443,39851282,31169311,23681049,17360912,17360911,16318857,11353430,11353429,16318853,22478825,22478826,22471604,16302268,11343090,11343091,16302276,22471619,29839306,31169320,29842836,22475777,22475778,21081549,21081548,17271927,17271928,22516153,16342658,11371154,7554366,4777096,2879071,2879070,4777087,7554339,11371104,15978028,11091862,11091864,15978033,16768831,16768835,23008209,23680789,22482553,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884919,10443854,10443855,15142862,21081512,28287581,36783884,44420827,35046281,35046282,31025436,31025435,36811475,35355562,29349763,29349764,29355431,30072577,22692636,16491149,11489969,7642078,4834697,2913221,2913222,4834704,7642095,11490007,16491205,22692696,16923325,11843896,11843899,14935547,11045520,11045519,15922574,16326236,16326237,21093602,15151499,15151498,11343645,11343644,11381618,7561745,7561746,11381624,15922612,15922614,15995042,15995043,16357242,11383290,7562782,7562781,254347510,22529808,16357210,16357209,22529804,29884316,29862773,22500253,18591863,18591864,25148244,29872185,22513658,22513657,29872184,22650774,22025576,16356522,11382742,7562450,7562448,11382739,11358007,11358008,16325817,22500091,16325842,11358029,7546176,4772650,2876812,2876813,4772654,5257969,8188446,11035687,7310247,4613924,4613919,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554443,5266088,3220927,3220928,5266092,8196041,11375436,16347856,17289048,12168043,8199755,8199756,12168047,16335441,254080056,22504897,16330908,16330906,11367205,11367204,16326591,11358561,11358562,16326594,22500768,21093659,15151552,15151551,15909302,11367653,11367654,11361119,7548085,7548087,11361124,16329902,14485588,14485587,16339229,22507953,29867711,38325251,29884864,22530641,22530642,29865104,22508353,22508354,23589972,17278262,17278263,22031323,254266134,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,21612688,16333069,11363729,7549789,7549790,11363731,16333074,12132813,8162950,8162951,9929560,267770482,20126919,15584750,15584751,21614128,26043673,19364734,16335859,16335858,13850993,9501868,9501869,13850995,19364291,26043154,31077113,23593781,17281572,16541938,11528940,10020080,6585777,4126171,4126168,6585722,5207997,5207995,8128958,12088083,16297989,17862899,24237967,23472056,17190783,12087799,8128757,5207844,3177323,3177324,5207846,8128760,12087802,17190790,22367893,20823074,20823073,16518913,14596480,13307779,10384148,6843503,6843505,10384154,15058516,20968277,22722135,22722134,23263302,16999822,16999821,23263300,256474229,256448507,22903402,16672285,16672284,22903400,30302345,22903404,16672286,11637195,7752846,7752845,4910129,2959645,2959646,4910131,7752856,11637211,255504949,22903630,16672447,11637311,7752910,4910162,2959660,2959657,4910153,7752895,11637287,16672417,22903589,256311003,36985604,28488783,21272626,21272625,28488779,36985591,46864093,46830316,46830288,36952199,28451937,28451936,36952198,46830287,58196267,70908965,61675669,61675670,58196285,46830307,36952221,28451958,21225206,15255170,15255171,268379791,36952226,30302356,22903409,22903408,256992721,38888434,30302352,30302353,38888436,36952224,36952223,46830310,48810825,48810824,60207909,61409791,49930741,40334860,31645975,24139305,17775064,17775063,24139303,31645973,39912239,31236775,31236776,37928101,29361706,29361705,37928183,37345372,28807250,21540159,15524076,15524074,21540163,17493878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162502, s2 = 9024445, dlinesl.size( ) = 2 s1 = 14162502, s2 = 9024445, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162502, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6606466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8172300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9500028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9500028, s2 = 9491783, int(edited[s2]) = 0 s1 = 9500028, s2 = 9491783, d1 = 7, d2 = 5 Dl.O(d1) = 46450849,39905280,39905279,49924800,41904127,32965005,32965004,41904125,36451177,36451176,46303998,49814113,58594565,47203812,47203813,58594567,57648733,57648732,57806751,57806752,63579408,58776233,47389076,38195641,256396147,22276709,22276711,29628624,38195647,38353897,29781246,29781247,30835378,23406446,17132449,12040039,12040038,16123524,22264303,29615365,38182497,48094234,48277748,256011282,22427386,22427385,16260625,11305313,7505793,4744490,2859328,1659478,944252,254167459,2859324,4744483,7505784,11305304,16260605,16260624,11305312,268087497,22427384,29793355,29793517,22427507,16260710,16260711,22427512,29793521,38366358,48277981,38366371,29793538,29793360,29793361,28677817,21429305,17385040,17385039,23708274,31196966,39878228,257639253,74160821,87765245,260110167,115782974,129679470,126202768,112342248,98359699,84450007,70893095,258658443,98359697,112342244,261085489,152307543,152307542,273085182,177015418,166430624,155754423,143202011,129872473,115974811,101930248,258385748,50098380,50098379,61578331,74355137,87046738,87046737,101042262,115116233,115116241,101042268,87046740,73429437,60681805,60681804,60681813,49280965,39354129,39354128,49280963,47822302,37900386,255747118,59220510,71958863,85546669,85697946,85697947,86889488,256928696,73429445,60681816,49280966,49280967,47988687,38075925,38075924,47988686,59379006,72111834,72111830,59379003,47988682,47988683,59379005,59220498,59220497,47988597,257313246,59379001,59378894,59378893,72111716,72111692,72111693,258118635,47988689,38075928,255890353,22170535,29511573,23331105,23331104,30753604,268940439,29511528,29511529,38075858,47988616,59378911,59378884,257508903,38075845,29511523,22170510,22170509,29511521,38075838,257508901,60681785,60681786,73429412,85697940,85697939,259985369,101042229,105499048,91276931,77357022,77357023,77357025,64209316,52359148,42020063,33076013,25345797,25345801,33076018,30804499,30804500,29306052,23278923,23278922,30693999,39291420,48216077,59603169,72338028,85931957,99887362,113905983,113905984,127780793,127693004,113823683,99808832,85855854,72264238,59530146,59530147,50543988,40508351,40508352,50543989,62035771,72338388,72338387,59603544,48216446,48216431,38306681,38306680,257060641,268438809,23768771,17440705,12294053,8303446,5357472,3293216,1936818,1106292,620759,620758,1106290,1936817,3292669,3292670,3402460,3402459,3407678,3292880,3292878,3423295,3038450,3038451,5020732,267847487,2005973,1146789,643334,357071,357072,643339,1146796,1148710,1148708,1148742,1158494,2024265,3406078,267847989,3416069,5019201,3037027,3037028,3379441,3455578,3039097,1769596,1769599,2234809,1296048,1296047,1705594,1705592,2234799,2234798,1705653,1705656,2030692,1989343,1175883,1175882,2041893,3380385,3380387,2038505,2038508,2001478,1165338,1165339,2001471,1990718,1764168,1764170,1106725,621009,621007,567935,567936,567927,567929,1007648,254250991,3376388,2035716,1166098,654447,654448,1166100,2035719,2826102,4690204,3446772,3446773,3783481,2266404,2266405,3783483,6046990,254873517,5596613,5555847,3440178,2035680,2035681,3417301,2017441,1167352,1154143,647472,647473,648803,1144205,641818,356199,356202,566656,566658,566378,566360,317191,317189,317745,317743,567323,1006635,1766571,1993308,1993310,3384474,3384471,5494332,254393483,1892593,3227766,5273462,8202488,12170497,15989113,11099720,11099721,15989115,11099727,11099726,15989118,22097941,22097942,22097944,22097945,29429225,37991134,47907258,59302139,72038391,258738858,113593051,123028813,108759633,256228622,66975972,80326781,94381926,108669016,100659569,86686893,86686892,100659568,86686891,73082715,73082714,270662338,60342936,257000815,30433749 Dl.O(d2) = 16785222,16785223,23027455,30433752,39023249,42292168,33428668,25660262,19041179,13592295,13592294,19041177,25625103,19010422,13567882,13567883,19010424,24237660,24237661,25070986,20284943,255758769,35337638,29922708,29922709,38482832,41760192,40392375,31699577,25620985,19006713,19006712,25620983,31755375,31755373,31486475,31486477,40171575,31758119,24246250,17869635,17869634,255272359,13567940,19010513,25625220,28499561,21281744,15318784,10580454,7508203,7508204,11308971,16265784,18865734,23989330,17644168,12470083,8439333,5449195,5449193,7375329,7375330,7375313,7375314,11119394,16014858,12605601,12605600,17806701,24174562,31682778,25789549,19144627,13669837,9360979,6131523,6131520,9360975,13442578,13442579,18865778,19155550,13678383,13678384,19155552,21763430,15707264,268213995,20284998,14555036,14555035,20284995,25620401,25789527,255402110,17868312,17868313,17440576,17440573,256129674,12653589,11119443,11119442,16014943,22129726,18855232,13434079,9184903,6011535,3759876,3759871,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011555,8777840,8917529,8935428,8935425,13110750,13804818,9466770,9466767,13804805,18219664,12922943,12922941,18219657,24686590,18453162,13108778,13108781,9639774,6336992,6336990,9639766,9639821,14023224,15083966,10404044,6858212,4304026,4304024,6858204,10404019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9500028, s2 = 9491783, dlinesl.size( ) = 2 s1 = 9500028, s2 = 9491783, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9500028, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9474439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 879405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9021132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9021132, s2 = 9439505, int(edited[s2]) = 0 s1 = 9021132, s2 = 9439505, d1 = 7, d2 = 7 Dl.O(d1) = 81068827,67600665,55258967,44411404,35036856,28223372,28223373,36716340,256705530,52689806,64590413,59690075,59690074,57981470,57981471,53834387,53834389,59815437,59815436,50258563,46620178,36731985,36731986,39337350,30738644,23318488,23318487,26341198,19612558,19612559,26341199,34214792,43312626,43312627,43312971,255715602,39058909,30468392,30468393,23318491,17053984,11963537,8008450,254820979,268244059,36545916,39337327,49263693,55247842,67589597,269575230,102512346,88504274,81068854,67600694,67600695,57758227,46407462,36545918,28077795,28077794,36545917,46407460,57758203,46407442,36545904,28077785,20905302,15000387,10330700,10330701,15000389,20905305,28077791,36545913,36545933,36545932,44411390,55258951,67600638,81068801,70453296,57758232,46407466,36545920,36545919,46407464,41904684,32965434,25243620,25243621,32965439,41904693,51995715,41684412,256102335,25071396,32768226,41684407,51995708,258128721,48119829,48119828,48119830,48119831,59507341,60236010,63134846,63134845,72241936,63134854,51437055,51437054,63134849,51437048,41239115,32413906,24788863,18306426,12994743,12994744,18306428,18667153,25236204,23480707,17197586,12092990,12092988,17197581,23480701,256022968,15041990,15041991,20849702,28015521,28123834,32413849,24788823,18306436,18306435,24788871,20951709,20951712,18306385,12994714,8846830,5765710,254631903,12994716,18306388,24788797,25493748,25493749,28129594,20951716,20951715,28129592,29906045,255529001,17042739,23303191,30720585,39318890,268661789,11956017,11956018,17042736,23303185,30720575,33554181,33554182,42571218,37726543,33554204,25764576,25764577,33554206,42571250,53011402,64986355,58836443,47450206,47450205,53011394,53011393,47450193,37542216,37542215,29616808,22265537,22265536,29616807,38184053,47648461,37726547,37726546,47648460,38567527,29997048,29997047,38567525,47648662,37726760,37726762,46359560,46359559,57708738,48095686,47648472,37726557,37726530,29166536,21857446,21857445,29166534,28996894,21712213,21712212,28996893,268393899,21857314,29166401,37726284,37726561,37726259,29166235,29166236,37726262,47450218,37726782,37726783,47648439,37726518,37726517,37726279,29166253,21857176,21857175,21857449,21857450,29166544,37726299,29166542,29166540,28996913,21712222,15669788,15669789,21712223,28996916,37542257,47450236,58836466,48954920,48954919,60351626,60609304,60609305,59703552,48316709,38406042,29834249,29834248,38406038,48316706,257535235,48316569,59703410,72439517,59703417,48316575,38405903,29834128,29834129,30685427,30685428,39282388,47648530,37726608,36614651,256822779,48316704,257535255,72439693,60609309,49208809,39282396,39282397,257599927,72439618,257581346,49208775,39282367,30685414,23268617,17005101,17005102,23268619,30685416,37726611,29166609,21857502,15785507,10935738,7235711,4561399,4561398,7235709,10935735,15785502,21857494,15785654,15785656,21857695,29166828,37726461,29166455,29166454,21857497,21857496,29166492,21857580,15785563,15785562,21857579,29166725,21857582,21857583,29166728,37726739,47648518,59049657,47648352,37726392,29166493,25487572,21857321,15785360,255431389,21857592,255058791,7235733,4561408,4561406,7235727,10935766,15785550,255866509,37726681,29166669,24137618,17773453,17773454,24137622,29166703,29166700,37726719,269329353,71791221,71791229,71791215,71791216,85380117,268284062,64795897,64016000,60704773,49302970,39375742,30774524,30774523,39375739,49302966,60704793,60704764,49302936,49302937,52178420,41854009,41854010,254904144,49299577,39372983,39372984,31529797,24027581,255189433,12500645,17677006,24027585,31529806,32560113,32560112,41419429,51661206,49248649,39321980,39321981,49248651,60649133,64431043,60649086,257157238,51921769,41619578,32714297,25028524,25028523,32714295,41619575,49248630,60649103,51661266,51661265,51661380,41419656,41419657,51661382,63404737,63404651,63404652,52178422,47648565,47648564,59049831,70949697,81045710,87011170,87011171,100021918,87011165,86058666,72460366,59724556,48340048,48340046,59724552,63404760,51661404,51661403,258061949,47172392,58561404,257664574,46395403,57746059,49308439,39380678,39380679,36809716,28313034,28313035,36809718,35034186,35034187,268444090,60788206,49387297,49387296,59917292,60674655,60674656,258273466,73480087,60732089,60732088,70531603,57830062,49330241,39402161,39402162,49330243,60732092,73480090,87098222,85560326,71973177,59235557,47838340,47838339,59235555,71973176,259357256,71973160,71973159,85560320,77984568,64790928,52872145,42468375,42468374,42468389,268498861,25701709,256146905,42468337,42468323,33474891,25701693,25701692,25701723,25701737,25701736,25779467,19138221,268029999,6130015,6130014,9358453,255364281,255364279,16709076,22235009,28039804,28039803,20947182,20871829,20867478,20867479,28035344,36498314,36594477,36594476,46460320,48370655,46395434,36534654,28067994,20896845,14992733,10323750,10323749,14992731,20896842,28067992,36534650,28112013,20935250,20935251,28112014,36584509,29911330,22554349,22554348,29911328,38469080,36598079,32982555,25259263,18687724,18687725,25259266,32982562,41922899,269306597,46756126,41937510,256490391,23460116,23460117,256490393,38462946,29905674,22549513,255917671,38462945,256811577,36503158,46361274,57710582,70404698,83930983,97790087,100485584,98458564,98458563,100485587,257571888,70441199,70441198,60056759,60056760,60056757,48660102,254801002,30156187,38738757,48660103,52001891,41690107,41690106,42586580,33569555,25779399,25779398,33569554,42586578,41690110,41690109,46891111,37012014,28512998,21292330,15326382,15326381,21292328,28512994,37011990,37011991,38868294,30282581,22884917,16656188,16656187,13086284,8917596,5819439,5819438,8624824,254422743,3482437,2951388,1711627,972736,972737,1711629,2951390,4897224,4803299,4803297,6474859,6474858,9857053,11423455,7593329,7593330,7592302,7592300,5983834,3741691,2932791,2932792,4867054,7691133,11295733,11295732,11555464,7743888,4903835,254549447,2955678,1713852,1713853,1713800,1713801,2955580,4903633,4891537,267896183,7736634,254800229,11553007,16571967,16394143,11410379,11410378,16394140,16659006,22579066,16396382,16396381,14346934,9857083,9857084,10349555,10349556,15021870,11415923,7586902,4798848,2892524,1678772,955052,538497,301890,167172,167171,301885,538484,955030,1678722,1710555,972197,547487,306569,306570,547492,972205,1710568,2949558,4894318,7731276,11611467,13168561,13168562,18533378,22850822,16626086,11597182,7719916,7719915,11597179,16626076,22850802,30244888,32773258,29080706,21782878,15723959,15723958,17004975,17004973,23268502,30685299,39282248,40040158,46760413,36881678,28385118,21167040,21167039,28385116,36881676,46760409,50059669,46761634,36883187,36883188,46760407,58128709,58129768,58129767,70844181,84401505,256350988,84401517,84400390,70843137,70843138,58129794,46761665,36883209,28386772,28386771,28386773,28386774,36883210 Dl.O(d2) = 81068827,67600665,55258967,44411404,35036856,28223372,28223373,36716340,256705530,52689806,64590413,59690075,59690074,57981470,57981471,53834387,53834389,59815437,59815436,50258563,46620178,36731985,36731986,39337350,30738644,23318488,23318487,26341198,19612558,19612559,26341199,34214792,43312626,43312627,43312971,255715602,39058909,30468392,30468393,23318491,17053984,11963537,8008450,254820979,268244059,36545916,39337327,49263693,55247842,67589597,269575230,102512346,88504274,81068854,67600694,67600695,57758227,46407462,36545918,28077795,28077794,36545917,46407460,57758203,46407442,36545904,28077785,20905302,15000387,10330700,10330701,15000389,20905305,28077791,36545913,36545933,36545932,44411390,55258951,67600638,81068801,70453296,57758232,46407466,36545920,36545919,46407464,41904684,32965434,25243620,25243621,32965439,41904693,51995715,41684412,256102335,25071396,32768226,41684407,51995708,258128721,48119829,48119828,48119830,48119831,59507341,60236010,63134846,63134845,72241936,63134854,51437055,51437054,63134849,51437048,41239115,32413906,24788863,18306426,12994743,12994744,18306428,18667153,25236204,23480707,17197586,12092990,12092988,17197581,23480701,256022968,15041990,15041991,20849702,28015521,28123834,32413849,24788823,18306436,18306435,24788871,20951709,20951712,18306385,12994714,8846830,5765710,254631903,12994716,18306388,24788797,25493748,25493749,28129594,20951716,20951715,28129592,29906045,255529001,17042739,23303191,30720585,39318890,268661789,11956017,11956018,17042736,23303185,30720575,33554181,33554182,42571218,37726543,33554204,25764576,25764577,33554206,42571250,53011402,64986355,58836443,47450206,47450205,53011394,53011393,47450193,37542216,37542215,29616808,22265537,22265536,29616807,38184053,47648461,37726547,37726546,47648460,38567527,29997048,29997047,38567525,47648662,37726760,37726762,46359560,46359559,57708738,48095686,47648472,37726557,37726530,29166536,21857446,21857445,29166534,28996894,21712213,21712212,28996893,268393899,21857314,29166401,37726284,37726561,37726259,29166235,29166236,37726262,47450218,37726782,37726783,47648439,37726518,37726517,37726279,29166253,21857176,21857175,21857449,21857450,29166544,37726299,29166542,29166540,28996913,21712222,15669788,15669789,21712223,28996916,37542257,47450236,58836466,48954920,48954919,60351626,60609304,60609305,59703552,48316709,38406042,29834249,29834248,38406038,48316706,257535235,48316569,59703410,72439517,59703417,48316575,38405903,29834128,29834129,30685427,30685428,39282388,47648530,37726608,36614651,256822779,48316704,257535255,72439693,60609309,49208809,39282396,39282397,257599927,72439618,257581346,49208775,39282367,30685414,23268617,17005101,17005102,23268619,30685416,37726611,29166609,21857502,15785507,10935738,7235711,4561399,4561398,7235709,10935735,15785502,21857494,15785654,15785656,21857695,29166828,37726461,29166455,29166454,21857497,21857496,29166492,21857580,15785563,15785562,21857579,29166725,21857582,21857583,29166728,37726739,47648518,59049657,47648352,37726392,29166493,25487572,21857321,15785360,255431389,21857592,255058791,7235733,4561408,4561406,7235727,10935766,15785550,255866509,37726681,29166669,24137618,17773453,17773454,24137622,29166703,29166700,37726719,269329353,71791221,71791229,71791215,71791216,85380117,268284062,64795897,64016000,60704773,49302970,39375742,30774524,30774523,39375739,49302966,60704793,60704764,49302936,49302937,52178420,41854009,41854010,254904144,49299577,39372983,39372984,31529797,24027581,255189433,12500645,17677006,24027585,31529806,32560113,32560112,41419429,51661206,49248649,39321980,39321981,49248651,60649133,64431043,60649086,257157238,51921769,41619578,32714297,25028524,25028523,32714295,41619575,49248630,60649103,51661266,51661265,51661380,41419656,41419657,51661382,63404737,63404651,63404652,52178422,47648565,47648564,59049831,70949697,81045710,87011170,87011171,100021918,87011165,86058666,72460366,59724556,48340048,48340046,59724552,63404760,51661404,51661403,258061949,47172392,58561404,257664574,46395403,57746059,49308439,39380678,39380679,36809716,28313034,28313035,36809718,35034186,35034187,268444090,60788206,49387297,49387296,59917292,60674655,60674656,258273466,73480087,60732089,60732088,70531603,57830062,49330241,39402161,39402162,49330243,60732092,73480090,87098222,85560326,71973177,59235557,47838340,47838339,59235555,71973176,259357256,71973160,71973159,85560320,77984568,64790928,52872145,42468375,42468374,42468389,268498861,25701709,256146905,42468337,42468323,33474891,25701693,25701692,25701723,25701737,25701736,25779467,19138221,268029999,6130015,6130014,9358453,255364281,255364279,16709076,22235009,28039804,28039803,20947182,20871829,20867478,20867479,28035344,36498314,36594477,36594476,46460320,48370655,46395434,36534654,28067994,20896845,14992733,10323750,10323749,14992731,20896842,28067992,36534650,28112013,20935250,20935251,28112014,36584509,29911330,22554349,22554348,29911328,38469080,36598079,32982555,25259263,18687724,18687725,25259266,32982562,41922899,269306597,46756126,41937510,256490391,23460116,23460117,256490393,38462946,29905674,22549513,255917671,38462945,256811577,36503158,46361274,57710582,70404698,83930983,97790087,100485584,98458564,98458563,100485587,257571888,70441199,70441198,60056759,60056760,60056757,48660102,254801002,30156187,38738757,48660103,52001891,41690107,41690106,42586580,33569555,25779399,25779398,33569554,42586578,41690110,41690109,46891111,37012014,28512998,21292330,15326382,15326381,21292328,28512994,37011990,37011991,38868294,30282581,22884917,16656188,16656187,13086284,8917596,5819439,5819438,8624824,254422743,3482437,2951388,1711627,972736,972737,1711629,2951390,4897224,4803299,4803297,6474859,6474858,9857053,11423455,7593329,7593330,7592302,7592300,5983834,3741691,2932791,2932792,4867054,7691133,11295733,11295732,11555464,7743888,4903835,254549447,2955678,1713852,1713853,1713800,1713801,2955580,4903633,4891537,267896183,7736634,254800229,11553007,16571967,16394143,11410379,11410378,16394140,16659006,22579066,16396382,16396381,14346934,9857083,9857084,10349555,10349556,15021870,11415923,7586902,4798848,2892524,1678772,955052,538497,301890,167172,167171,301885,538484,955030,1678722,1710555,972197,547487,306569,306570,547492,972205,1710568,2949558,4894318,7731276,11611467,13168561,13168562,18533378,22850822,16626086,11597182,7719916,7719915,11597179,16626076,22850802,30244888,32773258,29080706,21782878,15723959,15723958,17004975,17004973,23268502,30685299,39282248,40040158,46760413,36881678,28385118,21167040,21167039,28385116,36881676,46760409,50059669,46761634,36883187,36883188,46760407,58128709,58129768,58129767,70844181,84401505,256350988,84401517,84400390,70843137,70843138,58129794,46761665,36883209,28386772,28386771,28386773,28386774,36883210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9021132, s2 = 9439505, dlinesl.size( ) = 2 s1 = 9021132, s2 = 9439505, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9021132, Dl.E( ) = 8, 1.38e-05 seconds used appending s1 = 9690173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 667709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 667709, s2 = 15156948, int(edited[s2]) = 0 s1 = 667709, s2 = 15156948, d1 = 8, d2 = 13 Dl.O(d1) = 39525043,39525044,35104078,35104079,44480390,257552846,30736125,23316717,23316716,30736123,39333907,39525032,30914541,23477706,17195245,17052952,17052951,23316962,255977351,17052946,17052945,23316953,17052942,11962836,8007894,8007893,11962833,17052931,23316932,30736446,39334330,269371609,73404723,87018314,73403701,73403702,258211483,257023599,30736209,30736210,39334010,257603921,73404399,84628312,84628311,258145920,71165272,67800958,67800961,67800955,67800953,81268685,73404135,60658627,49259081,39333762,39333764,49259087,60658632,60658935,52653175,257796737,77735178,91663294,103124758,99807156,98552231,84628332,72441357,257440194,58443054,256026354,70792087,255574272,78499960,65211769,65211768,78499959,92545614,98552228,98552226,257079374,92511892,106823550,100441769,86484615,86484613,97885565,111697908,259372620,70392428,57698531,57698530,70392427,63817340,57698533,46349327,36491609,36491610,46349329,48135099,48135098,59522182,48135103,38224975,29658773,29658772,38224974,48135101,38628186,30054279,22678035,16481011,11483452,11483451,16481006,22678026,30054265,38628163,40082657,31401978,23909756,23909755,31401974,40082653,48720543,47502835,37598902,29050917,21756788,15702228,15702227,15702230,10869937,7186850,4527707,2721689 Dl.O(d2) = 4527705,7186848,10869933,15702222,21756776,29050896,29050897,37074328,46954520,58321676,71037299,71037321,71037296,71037297,59455175,48063966,48063967,59455176,58321611,46954451,37074258,28571272,28571271,37074345,37074498,28571426,28571425,25439410,18843044,13425021,268070607,4405166,2640646,1525502,1525503,2640649,4405173,7007765,10618862,15368494,21343384,28372515,28571438,256857165,28571378,21343308,21343305,268206375,10618872,10618873,15368513,21343422,24096021,17737683,17737684,24096024,31599995,36869294,28372522,21155385,17737689,12550374,8509479,5509909,3398320,3398322,5510012,8509646,8932722,13106649,17738162,12550650,12550358,12550357,17737666,18450489,24970254,31599868,31599697,24095788,17737507,12550251,12550250,17737503,17737452,12550210,8509381,5509858,5509860,8509393,12550230,17737474,24095736,31599642,24095943,24095942,31599713,24095797,24095796,17737523,17737524,24095811,25091312,18545528,13177174,8982303,8982302,13177171,18545523,25091304,24095973,24095974,24095978,17737650,17737649,18450476,13106661,8932731,5830420,5830419,8932738,13106673,18450494,24970261,32641306,41528522,40284496,31599887,24095906,24095907,256013280,25544481,18931493,18931492,17738120,17738119,24096712,268685975,256532879,23986382,23986383,31483284,40168166,40284095,40284712,31600105,31600104,268999409,31483279,23986380,23986381,257080195,50192370,258272259,88071415,74572524,257501814,40286069,31601012,31599542,24095666,17737423,17737424,24095669,31599547,40284103,50304745,61784354,74567630,88181813,257722100,63515950,51738220,41469262,41469259,50305562,51668035,41425949,41425950,51668038,63411318,63411425,51668149,41426038,32565867,32565868,32565897,24913564,24913537,24913536,32565842,41425993,51668093,61788024,61788020,50307449,50307450,51668184,50090751,40069522,40069523,50090755,59739600,72474182,74347562,61570712,50090735,50090734,50090723,50090724,50305356,51003723,40868842,40283865,31599367,31599369,36759365,36759364,46645065,58018201,70732869,61785483,50305549,40284691,40284690,50305541,51668213,51668215,51668163,41426051,32565875,24913551,18407853,13075063,13075062,18407849,24913546,256414082,63411403,76455237,90285193,258146048,95074711,95074710,104416720,95074715,259298924,84752302,72474759,71183727,71183728,84752300,98679558,85850426,72259319,61539887,50061753,40042306,40042309,41423995,32563894,24911998,24911999,28636382,28636383,257441667,71138152,84707909,86634991,81218327,81218326,84574316,257902424,58536413,269783847,50061778,50061777,268517054,65536156,76453864,74316506,74316507,72245762,59511195,59511193,72245755,63409815,51666261,51666262,58536394,71268177,61224918,49745376,49745375,50061783,61539929,71010474,58295524,58295526,71010478,81626880,81626879,84842186,71268142,71268140,81218337,81218329,81015758,71268192,58536406,58536405,71268190,59525714,58536641,58536640,71268367,84842292,98769146,98769145,270793136,269974296,98769131,87585635,87585637,86634973,73033431,71268030,58536253,58536254,71268036,71268096,71268097,84842158,98769111,95074728,81015755,73985138,61205799,49727063,39708518,39708519,49727065,61205803,73985139,76898463,76898464,71268356,71268355,71268312,58536578,47148062,46395095,37074257,37074254,31047215,31047214,39726023,47148053,52325366,52325367,61224653,61224652,61353597,58536353,47147892,47147894,50112992,40092489,39726073,39726074,36534395,36534396,39725799,40092503,31412716,23923126,23923124,31412712,36534371,38979755,30392579,30392580,37242643,37242642,38979824,48901022,50112973,40092453,39725992,31047195,31047194,39725987,39726079,39726062,31047234,23563161,23563160,31047229,28067732,28067733,36534414,46395183,57745782,61224558,57745790,46395201,46395202,52325359,49871818,49871816,49871803,39849501,31167422,31167421,39849496,36534376,28067715,20896597,20896596,28067728,36534402,46395160,46395185,39725818,31047071,31047070,39725814,48901002,38979809,38979808,48900997,58459844,60295529,70440843,58459858,47081839,37186589,31047196,31047197,39725994,39725967,31047180,23563140,17252202,12132597,8162762,5232594,5232593,8162759,12132587,17252180,17252158,17252159,23563076,31047024,39725731,49744985,47081836,37186585,37186584,46395136,39849490,39849491,49871793,49745157,49745155,39725915,39725916,49745226,49745251,49745247,61224823,67544911,55201152,44350705,34973392,26894372,20013039,20013038,26894370,34973388,44350702,55201150,258373420,58287781,49763730,39745221,31067079,23582862,23582865,24129123,24129121,24191151,31699354,31636219,24129091,17765778,12571934,8526117,5524739,5524740,8526120,12571941,17765789,24129111,31636262,40325655,50352654,46312760,46312762,49763748,52701292,42314177,33333784,33333785,256270315,20836315,14937336,10273182,6751304,6751305,10273185,14937341,20836327,20836438,28001208,36459992,46312775,57656871,57656869,61698238,74481306,256947928,50265120,40245452,31559193,31559194,40245453,50265122,50357556,40330627,31641708,31641707,40245478,50265163,40245497,31559228,24054605,24054606,24134877,17771136,17771135,24054600,24054602,31559220,31559319,31559320,40245624,40245625,44577515,50265141,50265142,40245513,40245514,50265207,55424651,67764540,67764542,55424654,55424653,255908946,255908948,256947912,256405540,44577521,44577520,55424682,48380820,48380821,59763419,65536230,53511511,43033009,38316005,29747213,29747214,38316008,48225625,59611989,59612001,59612000,255908954,49120608,255469402,39027216,30437693,23031023,23031024,30437695,39027217,39192047,49120091,48888915,38968863,38968864,30437717,23031039,23031036,30437710,33977134,26138255,26138256,33977135,43034019,43033744,33976794,26137894,24588150,24588149,32174301,39863029,31180589,23690885,17368326,17368327,23690887,31180595,39863039,36849779,28352163,21138278,17454260,17454259,18741820,18741870,18741871,18741882,18741886,25320556,33048925,36778018,36778017,44362938,43032443,43032442,53510979,65535832,61366091,49885313,39863061,31180610,31180609,39863058,43032729,53511211,52331733,49885347,49885349,61366103,65535774,53512089,53512088,50265089,50265090,53512239,43034012,33977122,26138246,26138245,33977118,43032685,43032684,43033167,33976766,33976767,33976807,43033105,33976155,26137313,26137312,33976151,33975456,33975455,26137927,26137926,33976831,43033145,33976759,33976758,33976872,33976871,43033762,43033791,43033792,53512084,43033769,43033770,43032661,33975725,26136915,268517051,33975739,33976804,33975940,26137092,26137093,33975942,33976811,33976810,26137908,26137909,26137958,26137959,33975749,26136930,26136928,256692445,19440769,13911236,13911237,19440772,26136627,19442236,13912428,13912427,19441393,13912352,9548274,9548275,13912355,255705423,13912424,13912425,19441586,19441587,26137669,26138195,33975177,256627805,31202051,31202052,256843560,31202109,31202108,256692403,33975179,43032220,49903071,39882024,31201996,31201995,35199245,257320147,50357413,40330480,31641603,31641604,26677374,256204163,39795823,31115190,31115192,39795826,49816633,54709624,54709625,65536458,54709622,54709623,49816662,39795860,39795859,49816657,55424978,61296566,49816666,49816665,54709609,43965769,34690469,26695849,19875573,19875570,26695845,34690463,43965762,44577886,35199632,27109791,27109789,35199630,34677235,31402175,31402176,40082835,50103416,44577536,44577538,47182434,47182435,44577759,44577757,44577889,256765892,50357453,55424515,61296498,49816568,44577296,35198970,35198971,35199548,35199547,34677223,26683624,26683625,27109793,27109794,268539415,26676665,34669930,26695724,26695725,27109490,20208929,14501430,9978526,6558568,6558570,9978530,9978518,9978520,11085383,11085382,15970420,22076044,24698866,18229203,12929829,12929830,18229208,18229450,12930010,12930011,18229440,16201163,11262226,7476545,7476546,11262231,16201171,12930000,12929999,16201121,11262203,11262204,14501413,20208910,27109766,35199606,38273914,35199453,27109609,27109610,22352260,16201277,16201117,11262249,11262242,11262243,14501371,20208435,20208792,16201148,11262218,11262219,16201152,16201289,11262313,11262312,16201285,14501116,9978349,9978347,14501110,20208475,19875516,19875515,20208537,20208535,27109123,35198922,29707509,29707507,35198780,27109011,20208305,14500987,14500988,20208307,22352232,16201261,16201262,22352234,29707358,29707379,29707378,29707489,38274159,43034470,43034468,53512617,55424828,44577643,254322298,27109479,23171932,23171933,30590374,39187929,49116599,44577150,35198807,27109037,27109034,35198799,35199336,35199334,39187619,30590164,30590161,39187632,39187981,37479191,37479193,39187865,30590328,23171904,23171903,30590326,39187858,257592633,73263816,81230519,255984800,60518340,49116317,39187725,30590225,23171834,23171833,30590223,39187722,256467315,23171796,23171797,30590167,39187646,49116328,39187977,30590414,23171956,23171955,23171983,23171892,16908302,11833049,7908110,7908106,11833040,255520825,30590269,39187736,30590233,30590232,39187733,49116413,49116484,49116483,49116662,39187999,39188000,49116663,53120195,49116265,49116266,53120074,42668518,42668516,39187810,39187809,39188103,30590512,23172018,16908360,16908361,23172024,30590516,39188108,31820418,24304110,24304109,31820415,33639352,37996651,42668587,39188018,33639115,33639116,39187521,42668633,42668128,33638669,25835660,19182496,19182495,25835658,33638667,42668125,53119854,53119928,42668251,33638797,25835788,19182614,19182615,19182509,19182510,25835675,25836277,25836067,25835465,19182326,13698667,13698668,19182330,25835452,33638412,25836349,19183072,19183074,19183027,13699301,9382338,6146552,6146553,9382341,13699305,19183035,25835765,25835649,25835598,25835599,33638597,33639356,33639355,42668003,42668002,33638621,25835635,19182479,19182480,25835636,33638623,25836496,19183194,19183193,25836493,25836322,25836326,33639392,42668710,42668542,33639130,25836048,25836049,33639136,40489806,42668277,49120155,39192146,39192147,267935336,73266471,255689822,256673306,30592366,255520961,11833947,11833946,16908946,268241411,30591310,33639268,33639267,39189788,39189783,39188924,39188925,30591429,23172878,16909043,11835401,11835400,11833943,11833941,16909623,16908952,16908953,23172775,255136007,7908696,5027417,5027418,7908698,11833902,11836052,11836051,16912383,255966813,256673188,23175986,16911633,11835430,7909802,5028273,3043870,3043871,5028274,7909500,5028014,3043629,3043406,3043405,5027726,7909091,7909734,7909735,11835329,16911526,11835821,11835759,254560539,3043974,254560541,5027561,5027562,7908293,5027122,5027121,254814341,7908003,254814311,16908026,255135997,254814385,7908514,7908431,5027226,3043059,1772121,1772120,1009997,1009996,1009948,1009946,1010589,569578,569144,569143,1009944,1772105,1772350,1772349,1771943,1009830,1009829,1771941,3042824,5026955,5027252,3043077,1772135,1010030,1009977,569162,569163,1009932,1772083,3043013,3043417,1772369,1772368,3043415,1772848,1010473,569492,318949,318950,319033,319032,569615,1010545,569553,569466,318936,318935,569464,1010435,1010529,1010528,1010699,1010700,1772558,1010265,1010266,1772562,1772798,1010431,1010218,569338,318872,176258,96875,53368,53369,96880,176267,176367,176366,319076,569631,569630,569414,318906,318907,569418,1010364,1772678,3043541,1772796,1010430,569457,569456,318945,318946,569485,1010458,267794145,3044263,3044265,5028817,5028402,5028403,5028106,3043713,1772601,1772599,1772775,1773079,1773096,1773095,3044359,3043697,1772592,1772590,1772665,3043775,5028165,5028217,3043828,3043829,3044277,3044278,5028844,7910009,5028609,5028610,7910205,5028958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 667709, s2 = 15156948, dlinesl.size( ) = 2 s1 = 667709, s2 = 15156948, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 667709, Dl.E( ) = 14, 1.91e-05 seconds used appending s1 = 14935260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 919977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8062407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9167218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7938407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7938407, s2 = 669797, int(edited[s2]) = 0 s1 = 7938407, s2 = 669797, d1 = 16, d2 = 18 Dl.O(d1) = 16983373,16983372,16982355,11896149,7954949,7954950,11896152,8000392,7958539,5062281,3067161,3067160,5062279,7958536,5062328,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,5129718,3118093,1822330 Dl.O(d2) = 1822333,3118105,5062176,3067105,3060038,3060035,1802013,1802016,3086355,5087104,7940874,5164434,5164433,7789480,7789481,7940665,11878209,16714482,11880732,11880731,254571886,28976689,21694027,21694026,19535835,13988104,9609294,6311667,6311669,9609317,8353141,5391574,5391572,8352689,8352690,11872160,16960271,17004023,17004022,23243985,16977195,11890235,7950005,7950004,11890233,16977193,11910333,11882382,11882383,11886629,7996255,7996254,11946279,16982336,16970187,11882359,11867184,7931589,5042415,3053067,1778726,1778727,3053069,5042420,5051828,4700667,2832010,1643057,1643056,2832008,1643121,934334,934336,1274294,1274293,2193956,3665569,5870501,8991636,11947629,7997483,7997484,11947633,11947775,17033115,16727516,16727514,16968167,12643181,8584565,5578220,3460988,2052376,267762890,5578222,8584568,12643183,16986424,18822515,254571806,17100068,17100067,23368564,268974452,256500191,30228720,30228721,38811477,30228726,256805094,256441243 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13168359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8035002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8035002, s2 = 1131326, int(edited[s2]) = 0 s1 = 8035002, s2 = 1131326, d1 = 68, d2 = 66 Dl.O(d1) = 17969544,24365235,268444738,46915649,37038048,32107782,32107783,39359111,39359112,49286108,52107902,52647833,42262196,42262195,256536848,37762945,29201541,21888978,21888977,29201538,37762940,47685139,59085007,54694708,54694709,66006672,256611134,16105096,255458503,16105097,22241165,255883370,7816439,7816438,11714780,15623449,15665835,11210572,7438363,7438364,10809929,7142958,4497479,2702387,2702386,4497474,7142950,10809916,255418035,14949701,14949700,20849997,23379938 Dl.O(d2) = 12693635,17916290,16927109,16927110,23194686,30615011,39211466,39211511,31658386,30615031,30615030,30615004,23194675,23194676,30615006,39211461,36887928,28391077,28391078,24299102,24299104,31814572,28232921,28232920,36726615,40353081,31814589,24299119,17916382,12693691,12693693,17916388,24299124,31814594,39211732,30615251,23194858,23194859,257013981,39211441,49042842,46766202,36887957,31658352,31658353,34215627,257095580,59446526,48054924,38141274,38141273,48054922,58134057,46766209,36887964,36887963,39113177,49042841,49138514,39211697,30615220,23194837,23194836,30615217,39211696,49138513,40384248,31690646,31690645,30515987,23099992,16843698,16843697,23099990,30515985,39113181,49042844,49138465,60438076,59596511,48209416,38299650,29732065,29732064,38299647,40510513,50546213,62038043,74834690,84406084,73184833,60438054,60438053,71522525,58793142,47405874,47405873,58793139,49138566,39211747,36887954,36887955,46766200,49138521,257006413,30515991,30515992,39113195,49042854,60446537,60438040,60438039,60538561,49138519,49138418,39211587,39211585,49138414,59556108,48169497,48169496,59556105,270323219,99835165,86804957,257141270,58134050,46766203,46766205,58134053,70848427,71522518,58793130,58793131,71522521,58793150,47405882,37498400,37498399,47405879,49034252,48169249,39113186,255961151,16843700,16843701,23099995,30515994,30508179,30508180,39104819,49034309,60438083,72355669,60538646,60538647,73282724,73282721,60538641,49138627,49138626,60538639,73282719,85881853,85881855,72290098,72290096,59556134,59556135,268013006,48169174,58793135,49042867,39113202,39113201,48169063,38259518,38259520,48169065,258132973,59555742,257141222,38260051,29694295,22340945,16192612,11256044,11256045,16192614,22340911,29694007,38259593,38259809,29694094,22340807,16192455,16192454,22340805,16192693,16192692,22341162,29694547,256588598,52157394,48168894,256401397,22340500,22340501,29693689,38259355,48168899,48168861,38259307,29693640,29693638,38259305,48168857,59555631,59556366,48169841,48169839,59556364,63984168,52157397,41837340,41837342,52157399,59555836,59556150,48169835,38260330,29694545,29694546,32903192,38259323,41108306,32297782,24686813,18219809,18219810,24686817,32297786,29693880,29693881,24686804,18219802,18219801,24686800,32297761,41108275,38259505,29693817,29693816,32297851,37287938,41108343,41108823,32298383,24687326,24687327,24687324,24687323,32298378,41108816,41108386,41108387,48169214,48169215,52145952,52145951,59555816,255620478,41108337,32903041,25192193,25192192,32297742,32903047,25192195,18631031,13245957,9035206,5902824,5902827,9035214,13245975,18631061,25192251,25192311,18631095,13245991,9035221,9035219,13245985,18631084,24687369,18220195,12923274,12923273,18220190,17293674,17293668,16192278,16192277,22340517,23606595,23606596,23606603,23606604,24686866,31090945,32298392,24687333,24687332,30516013,30516014,39113230,49042904,39769480,31090854,23606536,17293650,17293652,23606542,31090871,31090956,31090957,39769617,32298836,32298837,41109187,39769579,39769581,42288965,46728137,44551138,44551137,55397843,58838454,53942990,53942991,55397757,55397758,58274012,53942993,43416646,43416648,52550611,48815439,38894158,38894160,39175538,39175537,44551037,44551149,55397852,58838469,47452581,47452582,58838473,58838448,47452566,37544670,28999339,21714347,21714348,28999343,37544677,31090841,31090840,31090876,25192221,25192219,31090904,39769557,39769472,31090846,31090843,39769467,49789387,44551128,35173372,27084811,27084812,35173379,41827809,41827810,52145881,62963719,256588536,37031912,256853437,30577900,23161011,16899631,11826800,7903843,5024205,3041122,3041121,254559995,11826791,16899618,16899607,16899606,23160969,30577822,28999320,28999319,37544643,47452531,52145914,256077312,46401733,36540586,36540587,44551151,49789422,39769519,255997957,23606553,28999328,28999330,37544651,47452539,58838430,50254408,49105869,49105868,50254391,41827822,35173236,35173237,40234981,256588546,23161007,23161008,30577899,39175570,41827796,41827795,52145866,55397734,55397733,57752649,46401706,46401707,57752652,58928083,47545716,39869117,31186611,23696854,17374730,17374731,23696859,28073194,28073195,36540750,39175447,35173268,35173266,27084759,20186443,14483231,9965010,6549310,6549313,9965020,14483248,20186470,27084806,35173364,36540716,28073176,28073177,31549032,31549033,40234961,50254366,55397816,55397817,60509985,60509986,55397882,55397883,57752750,67736910,81201579,95257582,83975933,83975934,73568164,67736941,67736942,67736961,55397792,44551066,35173324,27084781,27084780,35173321,44551061,55397785,67736957,60108143,48712931,48712932,44551240,35173444,27084855,20186496,20186497,20901350,14996638,10327116,10327117,14996643,14996618,14996617,20901315,28073178,36540719,46401904,57752805,46401916,46401915,57752815,55397822,44551114,44551113,55397820,67736974,57752795,46401872,46401873,57752796,61429220,49951779,268828260,50254361,50254362,44551053,35173315,27084777,27084778,35173318,44551057,55397783,67736952,269296637,36540707,28073170,28073169,36540705,46401888,57752800,46402020,36540826,256277499,20901353,20901354,28073245,36540829,46402022,46401901,46401902,39934563,39934564,49951624,49951775,61429227,57752703,256829758,73616158,67736945,67736946,67737018,61429233,49951781,39934728,33245019,25494640,25494645,33245031,37768458,37768457,46401977,46402076,48237462,42206589,33245005,25494636,25494637,33245010,42206601,39934487,31259526,23774607,23774606,28997672,37543090,39934742,31259707,31259608,23774658,17445237,12297196,8305394,8305395,12297200,17445239,23774661,31259542,31259543,39934505,49111317,39181853,39181852,31259722,23774718,17445266,12297215,8305405,5358717,5358716,8305402,12297211,17445257,23774692,31259672,39934706,49951561,268665622,52567232,52567233,49951558,256514601,23774665,23774666,31259622,39934619,38285851,33245067,33245066,33245260,33245262,42206863,52567403,257034914,49951509,39934440,39934439,49951507,49951515,52567237,42206657,42206656,42206674,39934675,31259650,23774680,17445248,17445249,268254063,31259668,39934700,49951755,49111329,39181861,30584126,30584125,39181857,49111322,52567265,64442510,74207526,61429102,49951678,39934633,31259629,31259628,38390040,47471176,52567306,49364770,49364769,60767676,49951500,49951501,49420778,49420777,52567323,52567324,53943007,66012941,255980302,255980304,60514131,60514130,52550805,52550803,42192163,42192164,39934681,31259658,31259657,39934687,49951737,52567273,42206691,33245073,25494663,18889954,18889955,25494667,33245078,42206694,52567280,48149832,38240700,255146534,59536580,60514119,73260119,60514138,49111367,49111369,39435590,39435591,42192199,49364772,49364773,58597211,58597210,47933733,43416601,34315477,34315478,33231598,33231597,42191751,52550440,43416676,34315539,34315540,33231673,26437024,25483464,18880863,18880865,25483472,33232083,42192211,43416443,47471190,58855363,66012885,53942874,43416438,43416439,49362911,49362919,39433785,39433783,38240718,29675917,22324915,22324914,29675911,38240715,34315506,34315505,30584157,23166210,16903441,16903439,23166205,30584147,39181888,49111364,52550746,52550545,42191875,42191874,52550428,42191742,42191741,52550424,64424514,53942778,43416301,34315159,26437018,19698070,14123584,14123582,19698062,26437006,268528205,26436832,34315240,43416389,52550503,42908118,33862734,26040954,26040955,33232061,33232062,42191976,42191975,42191775,42191774,43416356,43416695,43416635,43416452,43416453,43416463,34315338,26436900,26436901,34315343,33231991,33231743,25483144,25483145,33231745,34315233,26436828,26436829,34315217,26436809,26436810,33862743,26040960,26040962,19698086,14123593,9716764,6392267,6392268,9716769,14123605,19698103,26437078,25483395,25483396,33231974,33231976,33231977,42192084,42908115,43416292,43416294,34315429,26436970,26436969,33231625,42191779,34315320,26436883,19697975,14123531,14123528 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10155211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6464458, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1015045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13309029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13309029, s2 = 7049573, int(edited[s2]) = 0 s1 = 13309029, s2 = 7049573, d1 = 49, d2 = 57 Dl.O(d1) = 21163355,15206881,10489452,10489453,15206887,18760250,18760249,22075705,15970106,15970104,21148184,21148183,28364047,36862322,32977518,32977517,31784231,31784230,25254607,22075248,22075247,29405913,37969897,268340566,20216175,27119208,268551898,36876066,46755014,58123568,49385533,39457513,30853373,23422696 Dl.O(d2) = 115958461,261836193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13309029, s2 = 7049573, dlinesl.size( ) = 2 s1 = 13309029, s2 = 7049573, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13309029, Dl.E( ) = 62, 2e-05 seconds used appending s1 = 6466214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8087119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8087119, s2 = 14534032, int(edited[s2]) = 0 s1 = 8087119, s2 = 14534032, d1 = 20, d2 = 18 Dl.O(d1) = 17923322,17923323,24307673,31824670,39363034,30761836,30761837,39363036,49290232,59227546,47829686,37907902,37907903,47358746,48294854,38384483,38384482,48294451,38383918,38383917,48294448,256661844,257466720,47399728,44491218,35114321,27027726,256221893,37452400,37452399,255987737,23457813,26600258,19794044,19794045,23456872,17178809,12078694,12078695,17178813,16275501,16275502,22444313,28913013,21638803,21638802,26600254,19794039,19794038,26600250,34587187,29634836,22282460,22282459,23294281,17034619,17034618,23294277,29161686,23107401,16849340,16849339,19794058,16043124,11139595,7388687,4667755,4667754,7388686,11139590,16043109,22165534,19536395,19536396,26254480,34119306,39783523,49802693,254626562,43206332,47329669,40956283,32177281,32177282,33662676,33662679,29186404,29186406,29408950,36657168,36657167,39498229,30890909,23458111,268429395 Dl.O(d2) = 60632230,49231271,49231272,60632232,49231281,39304489,39304488,49231278,60632241,73378329,86993657,76992696,63882009,63882010,76992698,90871318,270503781,63882044,63882043,76992726,90871346,258081070,76992720,90871341,260249831,100986410,86993655,86993654,90871333,105050763,100986393,86993638,73378314,60632234,60632233,52063774,41749973,41749972,52063773,63882026,52063771,41749970,32829253,25124746,18572621,18572623,25124749,268735891,52063781,41749976,36465332,36465327,28006620,28006621,36465330,46318159,57662398,70352228,83877115,73465763,73465761,87083167,101079312,115155115,115155131,259270938,87083138,73465740,73465741,87083140,101079278,115155089,116556488,111657029,101079325,101079324,97736098,97736097,111657028,101079321,87083177,87083176,73465773,73465772,270878253,270836788,127455284,115155138,115155139,129084664,127455260,113578951,113578952,261157597,115155134,115155133,129084663,259985316,140815715,153496921,152849852,140815714,127455281,113578972,113578971,261157599,153496919,142460249,129084667,129084666,142460247,153496916,140815705,127455272,127455273,127455266,113578955,113578954,270835302,85612030,258113988,72023413,85612023,85612038,72023420,59286719,47890435,47890436,59286721,72023423,85612044,73090882,73090883,86695483,100669184,114715595,128612384,114715597,114715588,114715589,127455276,113578976,99562405,99562406,113578940,100669179,100669180,114715591,113578949,99731988,99731987,113746393,127614999,127615000,113746397,99731990,85778005,85778004,73465758,60717803,49315913,39388147,39388146,49315911,60717802,73465756,87083160,101079304,115155109,101079301,99731991,85778006,72183599,59445310,59445311,72183600,85778008,260125923,101929629,115974167,129871859,143201383,143201386,260722477,101929633,87956775,258264685,257072967,40076799,50097620,61577617,74354421,87956776,101929635,101929638,87956782,87956780,259511020,259985310,115155107,129084647,142460241,153211862,140529773,140529772,143201390,129871865,115974174,101929640,87956785,87956784,260125921,101929626,258887225,74354424,259511023,260678167,101079291,101079292,113323809,113323808,127183249,261687547,261837453,262344909,143201378,129871856,115974165,115974166,129871857,261837455,272942406,165030424,153211856,140529768,127183243,113323805,113323803,127183241,129871850,143201373,155753846,167386568,155753852,143201377,262344907,177881340,187152040,185274101,175762130,175762131,166332164,260585456,186302598,186302593,176928657,176928649,166332152,154614216,141972081,141972080,153496922,165292916,175988878,180156303,272553946,186302591,176928655,176928654,176928659,272206724,167386569,177881339,263143240,262705370,187152036,186302586,176928648,166332150,259367050,141972078,259985318,272206722,165292944,165292943,262226470,185475881,185464047,175988886,175988887,165292939,153496940,140815724,127455291,127455292,140815726,262222395,165292956,153496952,140815732,140815731,153496951,165292954,262223200,153496949,140815730,127455294,113578985,99562413,99562411,99562414,113578986,127455296,140815727,140815728,153496945,165292946,153496954,261707518,153496953,273347051,165292958,175988925,179281249,168995103,168995104,179281252,185475899,176002216,273118768,262223189,272911284,157532232,145097575,131838367,118010819,118010820,131838369,145097577,153459268,153459267,162681556,162681557,173695483,273118314,173695481,173695480,173695484,164809183,152980027,152980028,164809184,155250387,142614759,142614758,261155840,137572195,137572196,150552967,162668465,153459264,140779068,127422848,126941827,126941828,140289724,137572204,123884905,109739615,95530164,81494656,81494655,259804041,123884902,113088678,99101593,99101594,113088680,126941826,125443573,125443574,258850422,99540104,99540105,113551767,113551770,99540109,259965218,85592995,72006082,72006083,85592998,99540118,113551771,106874766,106874767,113088681,259961076,99540120,106597803,92299601,78272706,64999736,64999735,74903842,74903841,88542212,86406350,72811253,60073970,53025128,257094924,60073960,72811244,77769132,64586211,257208369,257325919,35269972,35269973,42298905,42298906,52685603,64586209,59109115,47711253,37790345,37790344,47711252,47919832,38004170,38004171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8087119, s2 = 14534032, dlinesl.size( ) = 2 s1 = 8087119, s2 = 14534032, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8087119, Dl.E( ) = 22, 1.6e-05 seconds used appending s1 = 924769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 924769, s2 = 3224930, int(edited[s2]) = 0 s1 = 924769, s2 = 3224930, d1 = 70, d2 = 19 Dl.O(d1) = 23464633,17185124,12083486 Dl.O(d2) = 101577716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 924769, s2 = 3224930, dlinesl.size( ) = 2 s1 = 924769, s2 = 3224930, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 924769, Dl.E( ) = 72, 2.79e-05 seconds used appending s1 = 10340654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 673824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16297149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16297149, s2 = 726570, int(edited[s2]) = 0 s1 = 16297149, s2 = 726570, d1 = 32, d2 = 28 Dl.O(d1) = 228188682,274461124,224227567,221785595,218938025,215563653,211480585,206484319,206484320,211480587,264398090,198645501,191160086,263400974,172521968,172521967,182464402,191160088,198645505,198645502,198645503,204987302,264904037,221030382,223562120,223562119,225756227,225756233,225756232,227669145,227669141,225756229,225756228,225756230,225756231,227669144,228188686,228188687,226344466,226344467,226344462,224227573,224227574,224227577,224227578,224227579,221785600,218938029,215563657,264734482,200440384,193284254,184946504,175397876,164636482,164636481,152798939,140105927,140105926,140105929,126756678,112903837,112903838,126756679,112905160,98917412,84992332,71418736,58685295,47294505,37385354,37385353,47294509,51392771,257733103,41200256,32380214,32380213,41200254,269943317,76084300 Dl.O(d2) = 42287064,33307027,33307028,255193362,41740789,32819795,25115793,256105629,29586541,22238737,22238736,29586537,37067293,30913535,23476860,18565107,13192641,8993541,5871717,3666293,3666295,5871725,8993553,13192664,18565138,23476842,17194469,12090649,12090651,8130814,5209244,3178139,3178138,5209238,8130805,12090674,17194497,18565163,15364579,15364578,18053108,12979896,8835631,8835629,12979892,15389945,21338472,18053116,18053115,24473684,24764566,32385061,28558511,21332620,15359813,15359812,18287269,12979901,12979903,18287275,24764555,29105746,28539022,21315671,15344843,10599239,6992788,6992787,10599234,15344833,21315663,28539016,37037541,31720571,24213308,17843047,17843046,24213310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16297149, s2 = 726570, dlinesl.size( ) = 2 s1 = 16297149, s2 = 726570, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16297149, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 13360013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8034219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 926809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13168701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6904650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162842, s2 = 1354112, int(edited[s2]) = 0 s1 = 14162842, s2 = 1354112, d1 = 2, d2 = 1 Dl.O(d1) = 5182512,8088131,5182046,5182044,8088130,12030860,12031264,8088381,8088380,10703871,10703872,268049515,9176503,6006051,3756150,2249615,2249613,3756146,6006042,9176489,12204692,17115831,17115830,22784987,30173741,38756494,255536188,60770978,256486438,255983456,23406494,30835434,39439515,49368326,60770990,73520099,87139214,73520213,269374858,49368395,60771016,73520126,87139256,101137548,91519679,77588756,64420041,52545972,52545971,64420038,77588750,91519672,87139238,87139239,101137539,101137585,258326858,73520188,73520189,73520108,60771006,49368339,49368340,60771007,73520110,77588748,91519670,105077235,91519701,77588789,64420069,64420068,77588787,73520166,60771052,60771051,73520164,60771078,49368389,39439552,30835451,30835450,39439550,33227087,33227086,42187262,52545981,64420054,77588776,91519694,90897116,87964544,77017118,63905487,52086113,41771842,41771843,52086117,63905458,52086089,52086088,63905455,61585729,50105748,50105747,40952515,32172949,32172950,40952518,51095663,61585776,74362266,61585719,50105740,40085143,40085144,41771841,32850558,32850557,32850569,41771861,52086144,63905525,77017159,90897138,105077245,101841368,90897137,258835514,119270351,115885972,101841380,101841379,87869190,74267260,61490398,61490397,258880293,87869189,91280183,77360325,64213162,52364111,42025987,42025988,52364113,61490389,50012537,39994716,39994715,257649073,42025978,42025979,50096096,40075309,31393965,31393966,40075311,50096098,50096113,61575928,74352714,64213159,64213160,77360323,85815949,72222706,59486174,59486173,61490384,58084119,58084120,70800818,61490386,58201121,46835097,38185691,29618581,22267423,22267422,29618579,36830139,46712608,58084199,70800909,61575908,61575909,74352697,84359502,84359501,84359503,74352693,74352694,70801225,58084479,58084481,70801205,58084463,46712785,46712786,58084467,70801208,58084482,46712794,36830250,28333853,28333854,36830253,46712799,58084489,70800902,58084195,58084194,270282795,70800974,58084254,46712648,36830164,28333805,28333804,36830162,257416601,61575903,61575904,70800984,70800983,70800937,70800938,71404890,58670719,47279455,37369877,37369878,36830150,36830151,46712630,58084228,70800950,84359468,84359581,70801096,58084349,58084350,70801054,58084310,58084309,58084352,58084353,58084158,58084157,70800859,58084419,46712752,36830224,28333835,28333834,36830221,46712750,58084417,70800833,58084260,258026549,58084440,70801180,70801032,70801033,84359546,84359561,70801068,58084324,46712695,46712696,46712702,46712701,58084327,70801071,58084392,46712733,46712734,58084143,58084144,70800849,67585880,55244280,44396198,44396197,257194880,58084401,256837241,36830215,46712742,58084167,70800728,70800863,70801191,70801192,70801268,84359331,70801188,70801187,84359362,84359595,70801108,70801109,67585874,55244275,44396194,35020843,34288578,26412971,19677495,19677494,26412969,34288575,34582243,26595077,26595078,34288619,26412999,26413000,19677512,14106512,13235985,13235984,18619657,19789598,14175039,9744962,6407842,6407843,9744965,9703241,9703242,14106533,19677539,16050118,11144430,7391921,7391922,11144433,16050124,22174866,29516610,22174836,16050105,16050104,255725467,19789597,26595074,34582233,34582234,257284649,42980994,33927459,268779269,31230907,23747178,17421799,17421800,23747180,31230910,29835998,29835999,38408203,39961002,268439559,17467170,17467169,23799815,19366322,19366323,26045570,33867747,39907528,33867738,33867739,36820289,31231071,23747282,23747283,256512405,39907752,39907751,49926970,39907480,31230877,31230878,39907483,31231111,23747305,17421901,12279383,8292905,8292903,12279378,17421895,23747350,31231175,39907872,256422232,40411489,31719843,24212644,17842510,12635009,12635011,254787594,31718732,24211402,24211401,31718730,34188374,43285244,256960420,49770899,39752435,31074831,255987512,12159058,8189652,254835815,17279612,268434667,39752438,49770900,59402230,59402226,48015054 Dl.O(d2) = 48015050,59402223,48015061,257510979,72132648,84120415,259395694,57882050,46525885,36658268,36658269,36658261,28181763,20999109,20999108,28181761,36658258,46525872,46525873,36658259,36658260,46525876,36658273,36658274,46525890,46525921,46806072,36927731,36927730,46806070,57882054,70583510,84120421,88192383,74576778,255501714,71406342,58672129,47280913,47280912,58672128,60253097,60253098,58672111,58672110,58672120,256957372,84980403,86585781,72988614,60253095,48860247,38940667,38940666,38940668,48860249,60253101,72988620,86585786,73458250,60709949,49307654,256481693,30778280,39379932,49307658,60709953,73458245,71406327,60709944,49307652,39379930,268973993,60709945,73458247,87075671,87075668,87075669,101071795,99629421,85680190,72093387,59359782,59359783,72093389,85680193,258665599,58268983,46903334,37025826,28527846,28527845,22014430,15912866,255443183,29346479,37915437,47400611,48353348,47995124,38082863,38082862,47995122,58068622,46696320,36883274,30726603,23308854,17047369,11959307,11959306,17047363,23308846,26231045,26231044,34093100,38082872,36921616,28423355,21200302,21200303,28423357,36921621,46799547,58166923,53831044,53831045,47990961,47990962,49286608,39359595,36921609,36921611,46799525,53831053,47995202,47995201,58016894,58016895,47774104,47774106,47995489,59384756,58166940,46799562,43177164,34093058,34093057,43177162,47993869,49250755,47988896,47988897,258118649,58166946,47995113,38082851,29518624,29518625,32645427,24973845,24973846,32645428,41533123,38076078,38076077,47988845,59379136,72111932,72111936,59379150,47988863,38076092,38076091,47988861,59379147,53687998,43306169,34207632,34207631,36921625,28423359,21200305,21200306,28423361,36921630,46799559,58149633,58149634,59384735,49052308,47995477,38083216,29518616,22176371,22176370,29518614,38083211,47995472,49250744,53687966,49250769,39324362,39324348,30726585,30726584,39324345,257508931,47988869,43177229,34093116,26231065,19515212,13969242,9592188,6297253,3944854,3944853,6297251,9592181,13969230,19515185,19605152,19605153,26333584,28423369,255289534,15235388,21200311,21185841,255814925,36904316,46782083,53688006,49052315,39122375,39122374,46696316,36813326,28317107,28317108,36813329,46696319,47358257,47988874,47988875,47988839,46398678,36813351,36813350,46696351,58068593,47358283,37451795,37451796,47358278,37451787,28912192,21637586,15605747,15605746,21637583,21637610,15605759,15605760,268074577,7133570,4491233,4491232,7133568,10796588,15605758,21637608,256341531,46696326,36813332,28317112,28317111,28317134,28317133,28317123,21106893,15161550,10455904,6892170,4326546,2588382,2588381,4326543,6892165,10455893,15161532,21106861,28317066,28239206,21040644,15113058,10424400,10424399,15113054,21040639,28239200,36734025,36813268,36813269,46696256,46762649,46622187,46622182,46622183,40322024,257091267,58068611,46696291,36813303,36813302,46696287,58068582,58068583,46713979,46713980,36884401,36813222,29349208,28387895,28387896,256841143,36733992,28239180,21040629,15113046,15113045,21040627,28239174,36733980,46622156,46762641,36884224,36884226,46762639,46762638,58130628,258029505,58130534,46762609,46622155,36733979,28387648,21169185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162842, s2 = 1354112, dlinesl.size( ) = 2 s1 = 14162842, s2 = 1354112, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162842, Dl.E( ) = 6, 7.15e-06 seconds used appending s1 = 928891, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7871177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 929266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1230663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1230663, s2 = 1067375, int(edited[s2]) = 0 s1 = 1230663, s2 = 1067375, d1 = 61, d2 = 71 Dl.O(d1) = 31083311,23599467,17286901,17286902 Dl.O(d2) = 27203912,35329014,257929691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1230663, s2 = 1067375, dlinesl.size( ) = 2 s1 = 1230663, s2 = 1067375, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1230663, Dl.E( ) = 86, 2.6e-05 seconds used appending s1 = 13297593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8353336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10162163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 931334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6521043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13276351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9148618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7979398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8200155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8200155, s2 = 11657903, int(edited[s2]) = 0 s1 = 8200155, s2 = 11657903, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 255011488,28206747,21014079,15092742,15092743,21014081,21186200,15224131,15224132,16124796,11200966,7432107,7432108,255083339,22266021,256937513,48096270,59485301,72221899,83837563,85815154,74134630,61352784,49870948,39848705,31166824,23678600,17358477,12228685,12228686,17358527,22285043,16141553,16141554,16782399,20063319,14379145,9885118,6494941,4069793,2435305,2435306,2435315,2435314,4069813,6494979,9885181,14379248,20063496,25291620,18718043,13324480,9104134,9104133,13324472,12705754,8632477,8632474,12705766,13895494,17358755,17358753,17126642,12035966,8091472,8091473,12035970,11467598,11467599,16458424,15428746,15428747,17358562,12228708,8256530,5326481,5326479,8256522,12228692,12228650,12228647,16141549,16782404,23023532,20063366,20063234,14379091,9885083,6494923,6494922,9885073,14379077,9885171,9885170,14379231,20063466,23398677,23398678,25291617,20987647,15074859,15074861,16782112,23023127,22172981,22172980,255799684,28749616,37283926,38740966,35182541,27093702,20194658,14489849,9969732,6552292,4104807,4104805,5359073,5359074,8306069,12298313,13075268,13075269,17442568,12295512,12295511,17442567,23770986,31255441,23836319,17496848,17496846,15270867,10537705,6949414,6949415,10537711,12284864,12284863,17429473,20954778,20954777,28132557,28132533,28132531,20954788,15046065,15046066,20216608,27119816,27187214,31255874,31255875,27187269,27187270,22218581,22217591,16086157,11172414,7412482,7412483,8296536,12285049,17429776,23756620,23757029,23757030,17446000,12297702,8305693,8305694,12297708,12295519,8304442,8304438,12295536,17442632,23771077,21276040,21276037,17429339,12284788,8296381,5352118,3289355,3289357,5352133,8296413,12284843,17429438,23756110,20216566,14506878,9982293,6561000,6560999,9982290,14506868,268340595,23756688,24287450,17906288,12685347,8616470,8616471,12685352,17906299,22218075,16086475,16086473,21056921,21056922,20803325,20803324,27965767,36424264,29248987,29248986,28257863,24309974,24309971,26342126,24891915,18391597,18391598,24891925,32253858,32253856,35211836,31349170,23855211,17512062,12348789,8343163,5385040,3311419,1948100,1948102,3311428,5385064,8343208,12348871,17512184,23855409,24517602,18086778,12822521,8717838,8717839,12822527,17067443,17067442,23333799,30756477,33782207,25971844,19304878,13803067,9465490,9465491,13803074,19304887,24561554,18122455,12850130,12850131,18122461,24561570,32144127,32363788,32363789,41179592,46813407,36935146,28436209,28436211,24517876,24517875,31348899,23855024,17511945,17511948,17511929,17511931,23855004,31348880,40029100,256470374,65257513,65539627,268659560,61528318,50049059,50049060,61528321,61529443,257239696,39227368,39227367,49153692,40029869,40029868,43037390,43037391,40029112,37261132,28729103,21471725,21471726,21471747,21471746,28729144,28729167,30793818,39396577,49153648,39227325,37356462,37356463,40029005,40029007,37356448,30333708,22932954,22932953,30333717,38920038,48840469,43037323,33980063,33980064,43037325,268659564,66874930,257595636,53515569,256319514,26140678,26140679,33980074,43037352,43874742,34604339,34604320,34604321,30356901,22955274,16718829,16718828,22955270,30356889,38943044,40054616,42046039,33097890,26144893,26144892,33984796,40060492,31377819,31377821,26140487,19443820,13913716,9549414,9549415,13913721,19443834,26140506,33979880,43037120,42102941,256327628,26140530,19443848,19443849,26140536,33979924,43037168,39257975,33979809,33979808,34080796,26220342,19506312,19506311,26220337,34080790,43034866,33977948,33977947,27182506,27182507,26140781,19444001,13913825,9549486,6265670,6265671,9549490,13913833,19444017,26140812,33980267,42274646,33979962,26140563,19443862,19443863,17512263,12348928,8343253,8343254,12348932,17512267,23855511,31349615,33980164,33979929,33979930,43037180,33980155,26140743,26140745,33980160,28602917,21369349,15389344,10635375,10635374,15389343,21369341,26140545,26140771,26140770,33980204,33980229,26140788,19444006,19444007,26140790,33980234,43037498,50050198,61529626,53515437,43037182,33979934,33979933,37313614,30803849,30803847,39408692,42357322,52756891,50050029,44834327,44834329,55742244,68140171,58367526,46997458,39408682,30803843,30803842,39408678,39408705,49338169,42377996,33389389,25623755,25623756,33389394,30022606,30022607,38595291,31349540,23855488,23855489,31349574,40030066,42377986,42377987,52776882,64690977,63874223,52055309,41740664,32819708,25115749,18565078,18565077,25115743,32819700,41740648,48510078,38595265,30022592,30022590,38595262,41740558,41740674,41740673,37313626,37313625,47222488,40755495,40755494,50870516,58615721,52776880,52055278,52055277,46513707,46513709,57869932,53515642,43037435,36644617,36644618,46512228,47771704,47771705,44800062,37718738,29158804,29158805,37718740,32819629,25115697,25115696,25115704,32000466,32000470,40755520,41740656,41740657,52055203,41740571,32819649,32819650,32819766,25115777,18565087,18565085,25115771,32819639,32819638,25115753,25115754,32819719,41740690,52055331,52055381,52055382,63874279,57868683,46512233,46512234,40812048,36646196,28170697,20989997,20989998,28170701,36646203,37848597,29280813,21955971,21955972,29280821,31376613,25115726,18565061,13192608,13192601,8993519,8993518,12776025,12776026,18025696,24441607,32000476,40755530,50870445,40755432,32000406,24441556,24441557,32000410,40755437,32819729,32819727,36958981,36958979,46837170,48194034,38284791,29718197,22362094,22362092,29718189,38284780,40862074,46512238,36644621,32052013,24486445,18063280,18063281,15076720,15076721,20990006,28170712,29280834,21955981,15864240,15864241,21955988,17534732,13192617,8993527,5871709,5871710,8684366,5651245,5651246,8684372,12776046,11140274,11140272,16044157,22166990,29507300,38070930,47983036,59372982,61904674,50414125,40379518,31685713,24177088,17808895,12607568,12607569,17727330,19700829,19700826,24067789,17711964,12555707,12555711,8512920,5511824,3399302,3399301,5511817,8512910,8512830,5511777,5511778,8512833,8613110,8613113,8510302,5510449,5510454,8510323,7394706,7394707,7394881,4671682,4671685,7394895,11149272,12047695,17142483,23418691,23418803,17142605,17142603,23418821,17902008,17902009,24282709,24100733,17742186,12553666,12553665,17742185,24100731,28211982,25097913,18550237,13180318,13180317,12279596,12279598,12579432,8532674,5530828,5530827,8532670,12579427,17774776,24078783,17721679,12537696,12537697,17721680,15493874,14125686,14125685,19700879,24066434,24078756,17721650,17721649,14335015,12526124,12526126,17708137,12542322,12542326,17727901,16055262,16055260,22181655,24116655,17755601,12563665,8518798,8518796,12563659,17755591,24116647,23709812,17386343,12251819,8274533,5339067,3281803,1930269,1930268,3281798,5339051,8274507,12251774,17386263,23709706,28829998,26445175,19706132,14129634,9720592,6394511,4012769,254212381,791339,791337,254212377,4012745,6394460,9720503,6394557,6394556,6394538,6394540,7713142,9720654,9720669,9720670,11593670,7717494,7717493,11593663,8550281,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129059,19705363,17766907,16165415,11232781,11232777,14127240,14127236,254353928,254773580,21065483,21065484,28267147,29092639,25317082,25317083,19794325,14178484,14178483,268002966,24289953,24289954,268002968,50535078,53120809,42669493,33640314,25837329,19184075,13700284,9383011,6147003,6147002,9383009,13700282,19184073,14099838,14099837,9698245,6378592,4001995,4001997,6378601,9698256,14100252,14099463,9697576,6378186,4001785,4001784,6378175,9697549,6378579,4001987,2398239,2398237,4001981,6378565,9698196,14100187,14048480,9659996,6352343,3985828,3985826,6352353,8134912,6352581,3985933,2388984,1382932,1382930,2388977,3985896,3985895,4001880,6378347,9697832,9697926,14099878,19606127,14099850,9697905,6378379,6378380,9697910,14099859,14099724,9697785,9697784,9697769,6378307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8200155, s2 = 11657903, dlinesl.size( ) = 2 s1 = 8200155, s2 = 11657903, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8200155, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 13518795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13518795, s2 = 330542, int(edited[s2]) = 0 s1 = 13518795, s2 = 330542, d1 = 24, d2 = 18 Dl.O(d1) = 31246964,23762681,17435115,17435116 Dl.O(d2) = 256008857,17435118,12289246,8299536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13518795, s2 = 330542, dlinesl.size( ) = 16 s1 = 9699275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9699275, s2 = 15156950, int(edited[s2]) = 0 s1 = 9699275, s2 = 15156950, d1 = 0, d2 = 0 Dl.O(d1) = 133989910,147212287,159571168,170898637,181016617,189893184,197546998,204064125,209501489,264879695,264739281,264193539,193380834,185052123,175514463,175514464,263117259,140245136,126897954,113045382,99057692,85133195,71562891,58835600,256890685,37541479,269322679,58835601,71562893,85133196,99057693,113045383,260667592,100798938,86817691,73204706,258204914,49053641,257016900,30525303,23107734,16849628,254816878,4994301,4994302,7867812,11615066,8029755,7521741,7521742,11325455,12014972,11999267,11999266,11999153,11995750,8055496,5146321,5146320,5111905,3104203,1813792,1035727,254103499,180063,180061,326141,583533,1035713,1813359,2869155,2869154,4759962,7526542,7529490,267838085,1815878,1815876,3107620,4762279,4762280,267977019,7372805,7372804,254562824,8042824,8042823,8046844,5136928,5110027,3102827,1812931,1035254,1035253,947382,947380,1665352,2869497,1836414,1836415,1835140,1835139,1665621,1665622,1842484,1051420,1051419,1842476,3149384,1846397,1846396,3155182,5173633,3156613,1847445,1054284,1054282,1847434,1845323,1053056,592140,592142,1053060,1845329,3153665,5128859,3117415,3117414,5128857,8038584,8024658,8024659,8072901,8024692,5113861,3105823,1814794,1814793,3105820,5113857,5163135,3146092,2866894,2866895,4756499,5163151,5163152,8068871,12011032,12008935,8066091,8066090,11981836,11981835,16284183,11325483,254253766,7975618,7975619,11921370,17007842,17094853,16993399,11907874,7964865,7964866,11330680,7527899,7527901,5136771,3123539,3123540,5136780,7990546,5110986,3103497,3103493,5110971,8022141,11975840,17066318,12014142,12014141,15331055,10588598,10588596,11869454,11950351,11950347,8076996,5172052,3153895,1845492,1053152,1053151,1053145,592176,592177,1053149,1845488,3153889,5172041,7966188,11909563,16995193,12015186,8073795,8073796,12015188,17064219,17064218,17097466,17097465,23366650,17441221,12294502,12294501,17441220,23769316,31253601,39928783,49946263,61424119,74202792,87806157,256544606,51325814,41141281,41141280,32326778,24711476,18239599,12938068,12938067,18239597,24711473,21826293,15758610,15758611,21826298,22092101,15984741,11096952,11096953,15984746,22092106,29422807,35019657,30057660,30057661,26901718,26901719,34981331,44358813,44395094,38143871,29577495,29577496,38143873,42183838,36882634,28386104,21167882,15210367,10492120,10492121,10492056,10492055,10492153,15210439,21167224,15209923,10491891,10491888,15209908,15210763,14427798,14427796,20118351,27010198,32326770,32326771,41141275,51325808,43918114,34645140,26654100,19840566,255729357,19840568,254964967,254964965,255124493,256452101,23966575,17616373,12434402,8403690,7076223,7076222,7075786,4454680,2676053,2676052,3326961,3326960,3787917,3787916,6053270,9242488,7903192,6959272,6959271,10551838,15286276,255267556,9245116,6062756,3793271,3793272,6062758,6062772,9257075,13526046,11747172,7843150,7843122,7843121,6055646,3789313,3789312,6055640,9246135,12385411,17556015,18944538,23275182,17616285,254853118,254693945,6558049,4108537,2457578,2457577,4108535,6558050,9977677,14500135,20207246,27107745,35197386,44575793,46315849,36463027,28004283,28004282,36463026,46315848,57660128,70350142,83875170,97734117,111655088,122888267,108624004,94336825,80280734,66851139,254923446,43847692,37239195,28708485,28708484,37239198,255263698,39802796,255263700,23636856,31122732,33241864,39802792,31122728,23636854,23636853,23636854,17321202,17321203,23636856,31122732,33241864,257202631,256443816 Dl.O(d2) = 133989910,147212287,159571168,170898637,181016617,189893184,197546998,204064125,209501489,264879695,264739281,264193539,193380834,185052123,175514463,175514464,263117259,140245136,126897954,113045382,99057692,85133195,71562891,58835600,256890685,37541479,269322679,58835601,71562893,85133196,99057693,113045383,260667592,100798938,86817691,73204706,258204914,49053641,257016900,30525303,23107734,16849628,254816878,4994301,4994302,7867812,11615066,8029755,7521741,7521742,11325455,12014972,11999267,11999266,11999153,11995750,8055496,5146321,5146320,5111905,3104203,1813792,1035727,254103499,180063,180061,326141,583533,1035713,1813359,2869155,2869154,4759962,7526542,7529490,267838085,1815878,1815876,3107620,4762279,4762280,267977019,7372805,7372804,254562824,8042824,8042823,8046844,5136928,5110027,3102827,1812931,1035254,1035253,947382,947380,1665352,2869497,1836414,1836415,1835140,1835139,1665621,1665622,1842484,1051420,1051419,1842476,3149384,1846397,1846396,3155182,5173633,3156613,1847445,1054284,1054282,1847434,1845323,1053056,592140,592142,1053060,1845329,3153665,5128859,3117415,3117414,5128857,8038584,8024658,8024659,8072901,8024692,5113861,3105823,1814794,1814793,3105820,5113857,5163135,3146092,2866894,2866895,4756499,5163151,5163152,8068871,12011032,12008935,8066091,8066090,11981836,11981835,16284183,11325483,254253766,7975618,7975619,11921370,17007842,17094853,16993399,11907874,7964865,7964866,11330680,7527899,7527901,5136771,3123539,3123540,5136780,7990546,5110986,3103497,3103493,5110971,8022141,11975840,17066318,12014142,12014141,15331055,10588598,10588596,11869454,11950351,11950347,8076996,5172052,3153895,1845492,1053152,1053151,1053145,592176,592177,1053149,1845488,3153889,5172041,7966188,11909563,16995193,12015186,8073795,8073796,12015188,17064219,17064218,17097466,17097465,23366650,17441221,12294502,12294501,17441220,23769316,31253601,39928783,49946263,61424119,74202792,87806157,256544606,51325814,41141281,41141280,32326778,24711476,18239599,12938068,12938067,18239597,24711473,21826293,15758610,15758611,21826298,22092101,15984741,11096952,11096953,15984746,22092106,29422807,35019657,30057660,30057661,26901718,26901719,34981331,44358813,44395094,38143871,29577495,29577496,38143873,42183838,36882634,28386104,21167882,15210367,10492120,10492121,10492056,10492055,10492153,15210439,21167224,15209923,10491891,10491888,15209908,15210763,14427798,14427796,20118351,27010198,32326770,32326771,41141275,51325808,43918114,34645140,26654100,19840566,255729357,19840568,254964967,254964965,255124493,256452101,23966575,17616373,12434402,8403690,7076223,7076222,7075786,4454680,2676053,2676052,3326961,3326960,3787917,3787916,6053270,9242488,7903192,6959272,6959271,10551838,15286276,255267556,9245116,6062756,3793271,3793272,6062758,6062772,9257075,13526046,11747172,7843150,7843122,7843121,6055646,3789313,3789312,6055640,9246135,12385411,17556015,18944538,23275182,17616285,254853118,254693945,6558049,4108537,2457578,2457577,4108535,6558050,9977677,14500135,20207246,27107745,35197386,44575793,46315849,36463027,28004283,28004282,36463026,46315848,57660128,70350142,83875170,97734117,111655088,122888267,108624004,94336825,80280734,66851139,254923446,43847692,37239195,28708485,28708484,37239198,255263698,39802796,255263700,23636856,31122732,33241864,39802792,31122728,23636854,23636853,23636854,17321202,17321203,23636856,31122732,33241864,257202631,256443816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699275, s2 = 15156950, dlinesl.size( ) = 2 s1 = 9699275, s2 = 15156950, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9699275, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 15156949, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2197349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9340666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162490, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 938151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8127678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7600983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13227299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13227299, s2 = 14316860, int(edited[s2]) = 0 s1 = 13227299, s2 = 14316860, d1 = 11, d2 = 1 Dl.O(d1) = 10651298,15409430,21394706,28633919,28640203,21399710,15413441,15413440,12179079,12179078,17301108,23614227,27132669,20226910,20226911,27132662,23832015,23832014,17493511,12334444,12334443,17493509,23832056,17493522,17493521,23832077,31322486,24032774,17681765,12504670,12504668,17681763,24032770,23832045,23832044,28633967,26970140,26970141,35051550,40000183,256015159,17493531,23832095,255563617,12334428,12334429,17493479,23647294,23647293,31134971,23832090,17493527,17493528,23832093,31322506,40000181,50018356,40000119,39288927,30691698,30691699,39288929,31535119,24032733,17681739,268001621,5475488,5475489,254849597,17493536,23832100,31322513,256817754,25001137,25001138,32679217,28179976,25002525,18476553,13126339,8946356,8946357 Dl.O(d2) = 8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946103,5839663,3644396,3644393,5839655,8946088,13125758,18475544,25001139,32679218,41574835,51865146,258367411,76753339,90619592,256618992,105029940,90850500,255243198,63860054,52040522,41725453,35082887,35082889,44457824,38435797,29876921,22520075,16346768,16346767,22520071,29876912,38178918,38178917,40757024,32002106,24443149,24443148,32002102,40723596,50827557,55743932,44836020,268599696,256321579,31976538,30114517,22733817,255321938,7662686,4848160,4355104,4355101,4603544,7298627,11023865,15865531,14036486,14036487,17846729,12638173,12638172,17846727,24217146,30189263,38772773,36925195,28426544,28426545,22363817,22363818,29720011,34264877,26387641,22819310,22819309,17267843,17267845,23579609,29332066,29332064,255102004,29940105,29940104,34266710,34266712,40412335,40412336,254784924,19823965,14200279,9761538,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,15238216,21204031,26387305,19653947,19653948,23391463,254366870,17119574,17119575,23391458,30820173,28739852,21482253,21482252,28739851,24524319,24524318,29520286,31718770,31718771,38752055,36416351,27958305,24217158,17846739,17846738,19839579,24078345,25642760,19818708,14430487,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,3161349,1850694,1056223,593895,593893,1056216,1850674,3161296,5181192,8086599,12028411,17116628,22794921,17116347,12034601,8090478,8090477,12034596,15477743,10703243,9899153,6506034,4076963,4076962,6506028,4860984,4860985,7682319,11546968,14096387,19665308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13227299, s2 = 14316860, dlinesl.size( ) = 2 s1 = 13227299, s2 = 14316860, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13227299, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 939608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 939608, s2 = 5401496, int(edited[s2]) = 0 s1 = 939608, s2 = 5401496, d1 = 2, d2 = 114 Dl.O(d1) = 23832197 Dl.O(d2) = 203503248,274038475,217336118,220442077,223080546,225357248,227335949,227335947,225357244,223080544,220776819,220776820,223363902,225600615,225600624,223363910,220776823,220776822,223363906,265800963,266180187,266275240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 939608, s2 = 5401496, dlinesl.size( ) = 36 s1 = 8064318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10157509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13168427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13168427, s2 = 7289630, int(edited[s2]) = 0 s1 = 13168427, s2 = 7289630, d1 = 51, d2 = 50 Dl.O(d1) = 1030195,580513,324644,324645,580166,324456,324457,580172,1029623,1572431,1572433,1806612,3085779,3054940,1780113,1780111,3054936 Dl.O(d2) = 265023943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13168427, s2 = 7289630, dlinesl.size( ) = 30 s1 = 942011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6510312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 942536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 942536, s2 = 687447, int(edited[s2]) = 0 s1 = 942536, s2 = 687447, d1 = 1, d2 = 1 Dl.O(d1) = 23886159,17539663,12371210,8359529,5395706,4363956,4363958,6364314 Dl.O(d2) = 23886159,17539663,12371210,8359529,5395706,4363956,4363958,6364314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 942536, s2 = 687447, dlinesl.size( ) = 2 s1 = 942536, s2 = 687447, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 942536, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 13301903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13181431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 223203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 946990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 690864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8077834, s2 = 651082, int(edited[s2]) = 0 s1 = 8077834, s2 = 651082, d1 = 41, d2 = 3 Dl.O(d1) = 258173748,38802304,255940685,16605008,11580897,11580898,16605010,257662082 Dl.O(d2) = 16625814,11596993,7719781,4886158,4886157,7719780,11471647,7630397,7630396,11471645,16464419,22657866,16625305,11596667,7719584,254365298,12159140,8189732,8189733,11596578,7719525,4886019,4886020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077834, s2 = 651082, dlinesl.size( ) = 8 s1 = 948083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 948083, s2 = 13991966, int(edited[s2]) = 0 s1 = 948083, s2 = 13991966, d1 = 13, d2 = 82 Dl.O(d1) = 23994756 Dl.O(d2) = 9072776,13290076,10383831,6843295,4294007,2567258,2561073,2561074,4283630,6827952,10364989,15037538,255369539,15037538,20946167,28123766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 948083, s2 = 13991966, dlinesl.size( ) = 8 s1 = 6930692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6930692, s2 = 11649792, int(edited[s2]) = 0 s1 = 6930692, s2 = 11649792, d1 = 20, d2 = 23 Dl.O(d1) = 260246466 Dl.O(d2) = 261163451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6930692, s2 = 11649792, dlinesl.size( ) = 30 s1 = 8043640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8043640, s2 = 14046720, int(edited[s2]) = 0 s1 = 8043640, s2 = 14046720, d1 = 14, d2 = 12 Dl.O(d1) = 38262038,29696141,22342536,255088769,11256873,16193770,22342538,29696144,38262041,256401531,29695267,38261111,258133095,258250394,85563112,72291759,59557547,48170912,48170911,59557545,59557864,59557862,48203051,38293698,38261787,29695864,29695865,38261790,38261785,29695860,29695861,38261786,48171359,48284560,38373777,38373778,48284561,59589473,255800122,29726759,38293674,37451245,28911626,21637016,15605156,15605157,21637021,28911643,37451274,38261561,39223859,38260905,38260906,48170546,38261548,38261549,48171212,59192600,48171318,48171319,59557759,60488946,50223262,40200919,40200918,44613556,44613557,49770011,50223248,59557846,48203061,48203059,49318627,48284556,38373774,29801857,22435651,16267986,11310957,11310958,255912865,37420089,37420088,47328310,58213649,58213650,70930923,58745103,47357780,38293670,29726755,29726754,38293666,48203013,48202983,38293636,29726727,29726726,37867924,29298721,29298722,37867927,47792387,59192581,55462085,44613463,44613464,49770034,61248780,74028757,67600770,55259061,46891242,37012214,37012216,29138639,21831262,21831263,21832891,254750158,10917590,15764209,254750140,37701362,40201059,31514682,24013834,17666070,12492301,8461054,5466951,3361704,1976406,1976405,3361701,5466947,8461044,12492286,17666042 Dl.O(d2) = 39436745,39436746,49365710,60768227,73516859,85531446,85531445,255148854,60329872,48931794,48931792,60329868,49972815,49972816,61450697,59450576,52091045,41777494,32856909,32856910,41777495,255983244,57840593,257491950,256369790,38995633,38995632,48919460,257611418,48390368,48390367,52091273,52091202,41777688,32857129,32857128,25150257,25150259,256622521,38995622,38995623,48919453,59606812,72341277,63909943,52091040,41777487,32856906,32856905,41777485,52091039,63909942,63909936,52091028,41777478,38370179,29797455,29797456,29797503,22430988,16263623,11307632,11307633,16263625,22430991,256409469,38261449,41777474,38370337,38370336,30315060,22914948,16681809,16681808,22914947,30315058,38901669,48823980,41777625,41777451,32856887,25150069,25150070,22382787,16225121,11279009,7487061,7487062,11279010,16225123,22382791,29741723,38310265,48171075,38261428,29695543,29312547,21984558,15888553,11014159,11014157,15888547,21984543,22431098,16263705,11307665,7507477,4745641,4745639,7507472,11307652,16263672,16263616,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888579,21984617,29312622,37881578,47805304,59204656,71943646,64193631,52343545,42004637,42004638,46270931,57615514,70306133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8043640, s2 = 14046720, dlinesl.size( ) = 2 s1 = 8043640, s2 = 14046720, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8043640, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 9097472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 949302, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 950092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655700, s2 = 14037501, int(edited[s2]) = 0 s1 = 11655700, s2 = 14037501, d1 = 7, d2 = 7 Dl.O(d1) = 21672111,15634957,10819619,7150525,4502985,2705977,1568116,891739,891738,1568113,2705973,4502976,7150514,10819594,15634921,21672058,28952139,37494654,29484338,22146065,21672055,21672056,28952133,23370361,17101723,17101725,23370367,29484023,38047469,40448557,39399774,30891372,23458519,23458521,28952147,22145765,22145766,20076705,17148313,12051949,8102849,8102850,12051953,17148323,23213382,23213383,30636248,29483961,29483960,38047410,38047721,29484284,22146029,16027144,16027142,22145733,29483877,30857512,29735378,29735377,22563791,17101649,17101650,23370254,30796656,39399735,40402630,31710536,31546157,31546158,24044208,17692002,12513149,12513150,17692004,17687112,12509034,12509033,12510661,8475382,8475381,12510659,17688995,24040954,31544343,37488466,28945886,21666684,15630748,10816704,10692232,7063889,4447558,4447559,4501807,6602756,10047926,14561234,14561232,20292045,16724054,13801543,11510646,7657229,4845046,2919737,1693746,1693747,2919741,4845057,7657254,11510692,16516740,20094222,254324094,27279632,20344059,20344060,15055233,10381028,10381030,10785275,15590671,18212873,18212872,18714737,15599655,10791591,7129814,7129815,10791593,15599659,16518799,22723984,26734311,20345450,14602776,10048094,6602896,6602894,10048091,14602771,20345442,27280970,35406694,44832157,55740081,68138096,81628182,95661567,109865502,124004589,111640074,97719433,83860747,70335590,256806994,256269786,27988294,20823660,20823661,27988296,36447048,268371638,28042234,36448997 Dl.O(d2) = 21672111,15634957,10819619,7150525,4502985,2705977,1568116,891739,891738,1568113,2705973,4502976,7150514,10819594,15634921,21672058,28952139,37494654,29484338,22146065,21672055,21672056,28952133,23370361,17101723,17101725,23370367,29484023,38047469,40448557,39399774,30891372,23458519,23458521,28952147,22145765,22145766,20076705,17148313,12051949,8102849,8102850,12051953,17148323,23213382,23213383,30636248,29483961,29483960,38047410,38047721,29484284,22146029,16027144,16027142,22145733,29483877,30857512,29735378,29735377,22563791,17101649,17101650,23370254,30796656,39399735,40402630,31710536,31546157,31546158,24044208,17692002,12513149,12513150,17692004,17687112,12509034,12509033,12510661,8475382,8475381,12510659,17688995,24040954,31544343,37488466,28945886,21666684,15630748,10816704,10692232,7063889,4447558,4447559,4501807,6602756,10047926,14561234,14561232,20292045,16724054,13801543,11510646,7657229,4845046,2919737,1693746,1693747,2919741,4845057,7657254,11510692,16516740,20094222,254324094,27279632,20344059,20344060,15055233,10381028,10381030,10785275,15590671,18212873,18212872,18714737,15599655,10791591,7129814,7129815,10791593,15599659,16518799,22723984,26734311,20345450,14602776,10048094,6602896,6602894,10048091,14602771,20345442,27280970,35406694,44832157,55740081,68138096,81628182,95661567,109865502,124004589,111640074,97719433,83860747,70335590,256806994,256269786,27988294,20823660,20823661,27988296,36447048,268371638,28042234,36448997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655700, s2 = 14037501, dlinesl.size( ) = 2 s1 = 11655700, s2 = 14037501, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11655700, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 9397301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 951818, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7659003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7659003, s2 = 8419781, int(edited[s2]) = 0 s1 = 7659003, s2 = 8419781, d1 = 55, d2 = 85 Dl.O(d1) = 271357421,38918679,38918706,30332251,24079063 Dl.O(d2) = 202367094,195512171,263268042,263268044,262358702,262358698,194566088,261310466,195512159,187496509,178286154,167848756,262374352,143733577,143733576,262374359,156259993,143733577,260757078,102469900,269888684,50544947,256557018,17915217,12692670,8622572,5606057,5606060,8622579,12692683,17915243,20987446,15074717,10397516,6853904,6853902,10397506,15074691,19421924,18332548,18155173,12874247,8755376,5700395,3637118,3637119,5828883,8930525,13103684,12922169,8790560,8790558,12922162,13019138,9535132,6255144,3915758,3915757,6255138,9186784,13103583,8930452,5828848,5828849,6853954,4301320,4301319,3003665,1744344,991155,991154,1744336,3003649,4972983,7834307,11734183,11213655,7440522,4701424,4701426,6853885,4301285,2571639,2571637,4301276,6853863,10397445,9535145,9535142,11734228,11734230,8755370,5828870,5828872,8930498,13103667,16138665,16782244,23023317,24685254,23023237,18339946,13895647,13895506,9535109,9535108,13895502,19421846,18446395,13895661,13895658,16782368,11734254,10397555,10397557,255373279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7659003, s2 = 8419781, dlinesl.size( ) = 70 s1 = 146869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 146869, s2 = 10352466, int(edited[s2]) = 0 s1 = 146869, s2 = 10352466, d1 = 67, d2 = 85 Dl.O(d1) = 3404559,2007910,1148048,644051,357471,357472,644053,1148051,2007913,3404563,3392835,3392836,3392929,3392930,5355977,3291947,3291948,5355979,8301958,8486180,254410103,1988406,1165234,1165235,2034379,3437422,5553005,8556110,8545904,269879992,268447945,257088399,24080579,255193013,12539175,17723443 Dl.O(d2) = 50294455,256022008,33024809,25298340,25298339,259016057,105449550,258888656,271862046 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13224903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1256476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9143816, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 953389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8039589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8039589, s2 = 14164637, int(edited[s2]) = 0 s1 = 8039589, s2 = 14164637, d1 = 100, d2 = 103 Dl.O(d1) = 85479471,99420676,113422422,127281230,140627098,143541835,130215808,116380857,102291128,88297726,74672209,61880064,50390394,40355489,31660540,24150086,24150087,24150089,24150088 Dl.O(d2) = 72971114,60233952,48839646,38919132,30332668,268408110,11657845,7769268,4922640,2968539,1722232,254246503,4470816,2686137,2686140,4470801,4470646,4470647,7100597,10747438,11380885,16347050,16347250,11376800,7558284,4779388,2880248,2880249,2880348,1671491,1671493,2880355,4779589,7557617,7557616,4780408,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372219,9966479,6550207,4103511,2454524,1418855,807111,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4780051,4780052,4780044,4780045,5257753,5257992,5257991,8188474,11378187,7559261,7552434,7552433,11367983,16333875,16333708,11364227,11364226,254122848,11367995,7552448,4776079,2878572,1670620,950540,536079,536080,950545,1670630,2878589,4776127,7547494,4773376,4773378,7547498,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248914,12218666,11360905,7547952,7547956,7549211,4774439,2877687,2877684,4774429,7549568,11363378,16332665,17287216,23599732,28839472,29862456,29862457,28063685,20893097,14989215,14989214,17336476,12210722,12210723,17336481,16325644,11357879,7546087,7546088,11357884,16325650,12168611,12168609,11360570,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,15818470,11366080,7551253,7551255,10960086,15815408,11366718,7551659,7551658,11366724,15586295,21099329,15584981,10781204,7123624,4485210,4485208,7123611,6890429,6890430,10452745,11358900,11358899,16326999,22501225,22013171,15911641,11033111,11033112,15911643,15911651,15911691,15911690,11366741,7551668,7551669,11366744,16336924,22510695,22509480,16335852,16335851,22509477,22510756,16336985,11366793,7551692,267831261,1670502,950481,950483,1670506,2878357,4775672,7551736,10781914,15585950,15155335,10451903,6889934,4325339,4325341,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,6232387,9501951,13851045,13851871,15816702,15816699,21894625,26612973,34600229,34585257,26598162,26598163,28694439,28694438,37219678,33643741,25840510,19186911,19186910,25840508,33045861,41989430,38204246,29637565,22285827,18740101,13340774,9746413,6408723,4020577,4020576,6408720,9746402,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288880,5351341,6410179,6410178,9748753,14180892,17424446,12281299,8294226,8294227,12281305,17424451,19797629,19797630,19791026,19791028,17759585,12567175,8522197,8522195,12567174,17759583,22273401,17424153,17424152,23749644,23749612,255223520,12281085,17424121,23749603,23573188,23573189,20887029,20887030,28056822,35350613,36537595,28070622,20899286,20899285,28070621,30606182,30606183,39202452,37775053,29213412,21899268,21899269,29213413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8039589, s2 = 14164637, dlinesl.size( ) = 2 s1 = 8039589, s2 = 14164637, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8039589, Dl.E( ) = 104, 2.79e-05 seconds used appending s1 = 954895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13176909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2648126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6441408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1448630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7956950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13162223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7945759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13388701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 958088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9075238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7839085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7718439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7718439, s2 = 10354302, int(edited[s2]) = 0 s1 = 7718439, s2 = 10354302, d1 = 34, d2 = 40 Dl.O(d1) = 273587023 Dl.O(d2) = 261333982,258303318 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8089554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8084765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9080870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 942068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 942068, s2 = 14126361, int(edited[s2]) = 0 s1 = 942068, s2 = 14126361, d1 = 35, d2 = 245 Dl.O(d1) = 23878251 Dl.O(d2) = 176698623,176698622,186111533,263927615,207255692,207255690,201342061,194315493,186111528,176698620,176698621,186111531,194315495,194315505,263575442,186111535,176698624,166062259,262750541,186111538,263927619,264525103,264525170,207255691,207255692,207255690,201342061,194315493,186111528,176698620,176698621,186111531,194315495,194315505,263575442,263927617,201342063,194315498,194315497,264242431,264525170,207255691,207255692,207255690,201342061,194315493,186111528,176698620,176698621,186111531,194315495,194315505,186111542,186111540,263927621,264525105,207255686,263575438,186111522,176698613,166062254,166062255,176698615,263575325,194315506,263927623,264525107,263961524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 942068, s2 = 14126361, dlinesl.size( ) = 2 s1 = 942068, s2 = 14126361, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 942068, Dl.E( ) = 246, 8.39e-05 seconds used appending s1 = 6469367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6567759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7890549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7890549, s2 = 962251, int(edited[s2]) = 0 s1 = 7890549, s2 = 962251, d1 = 0, d2 = 0 Dl.O(d1) = 7108339,7108285,4475345,4475343,4475748,7108290,4475412,4475414,4475272,4475271,7107856,10758153,10758613,7108330,4475384,4475381,4475382,254309662,7108696,4475672,4475673,7108697,10758913,7108505,4475541,4475288,254504967,10758602,15554667,10758994,10758993,15114979,15114980,21042875,15555295,15555296,15555290,10759182,10759183,15554688,268210383,12092923,8132359,5210184,5210183,8132356,12092921,17197496,255990143,25527495,21578370,21578369,15555102,15555099,12700288,12700289,17924597,24309113 Dl.O(d2) = 7108339,7108285,4475345,4475343,4475748,7108290,4475412,4475414,4475272,4475271,7107856,10758153,10758613,7108330,4475384,4475381,4475382,254309662,7108696,4475672,4475673,7108697,10758913,7108505,4475541,4475288,254504967,10758602,15554667,10758994,10758993,15114979,15114980,21042875,15555295,15555296,15555290,10759182,10759183,15554688,268210383,12092923,8132359,5210184,5210183,8132356,12092921,17197496,255990143,25527495,21578370,21578369,15555102,15555099,12700288,12700289,17924597,24309113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7890549, s2 = 962251, dlinesl.size( ) = 2 s1 = 7890549, s2 = 962251, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7890549, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6567922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6567922, s2 = 8101724, int(edited[s2]) = 0 s1 = 6567922, s2 = 8101724, d1 = 90, d2 = 9 Dl.O(d1) = 256050727 Dl.O(d2) = 49886400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6567922, s2 = 8101724, dlinesl.size( ) = 24 s1 = 8240108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14502553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14502553, s2 = 6602225, int(edited[s2]) = 0 s1 = 14502553, s2 = 6602225, d1 = 4, d2 = 48 Dl.O(d1) = 4948637,7803375,254140766 Dl.O(d2) = 256433335,26698140,19877561,19877560,26698139,26701118,26677447,19859853,19859855,26677452,21457717,21457715,15458220,15458219,19022979,13577947,9296894,6090115,6090117,9296890,13577938,19022965,25639739,31029854,34093809,26700275,19879502,19879501,256206421,259139843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6843941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6843941, s2 = 14502554, int(edited[s2]) = 0 s1 = 6843941, s2 = 14502554, d1 = 33, d2 = 40 Dl.O(d1) = 259139842,256206420,28158823,24112170,17751675,17751674,22891176,18114315,12844513,8734621,8734623,8958047,5847125,5847124,8958044,13143417,18499692,25032562,25919127,25919129,30286889,22889073,18221283,18221284,18221278,18221279,24688597,28759864,28759863,256433334 Dl.O(d2) = 254140767,371958,203743,203746,112266,61536,61537,112267,112671,112757,112760,206289,376106,676008,1200489,2086485,3509797,3511545,254883347 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 963497, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11657842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657842, s2 = 11104589, int(edited[s2]) = 0 s1 = 11657842, s2 = 11104589, d1 = 1, d2 = 1 Dl.O(d1) = 102561643,88555423,74916975,62112835,50613356,40571377,31868764,24345655,17954319,17954320,24345646,31868747,40571357,257693289,259550635 Dl.O(d2) = 102561643,88555423,74916975,62112835,50613356,40571377,31868764,24345655,17954319,17954320,24345646,31868747,40571357,257693289,259550635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657842, s2 = 11104589, dlinesl.size( ) = 2 s1 = 11657842, s2 = 11104589, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11657842, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6469641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13224821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13224821, s2 = 9439939, int(edited[s2]) = 0 s1 = 13224821, s2 = 9439939, d1 = 8, d2 = 13 Dl.O(d1) = 43914311,54657049,50357270,40330354,31641459,24134657,24134658,254866376,16056709,254313416,4671515,2814472,1632850,1632849,2814470,4671510,5876061,5876064,9000436,10642761,7026512,7026509,10642751,15398600,21381028,25545313,31590910,30566285,24209303,24209304,24087185,24087184,25887950,19228079,19228078,21492686,19702364,14126888,14126889,16469641,16169563,11238650,7488851,7488852,11238394,15738572,16621000,22844149,17065915,11975368,11975370,17065916,17127332,12036572,8091981,7394484,4671448,2814442,1632833,928562,928563,1632834,2814443,4671450,7394487,11148660,13311015,13311014,13299421,13291780,9074611,5934440,3710651,2222097,2222099,3710658,5934448,9074619,13292083,9092083,5948140,5948139,9092082,13311016,17978221,13297893,9079717,9079718,8658220,5632003,5632002,8658219,12740933,17978237 Dl.O(d2) = 24376692,31908214,40622539,50680012,62198176,75019057,88667876,102676164,116770241,130598720,261877285,141187451,127824795,119713611,105474331,91252223,77332700,77332699,91252221,91252224,258816548,63818499,257585466,86784913,86784914,100765699,114817744,107827365,93403851,258450590,65912961,53845519,53845520,65912962,79276356,260356779,121292005,135141400,148313422,273258126,171784118,181759605,190502759,264085191,209839123,274153779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13224821, s2 = 9439939, dlinesl.size( ) = 2 s1 = 13224821, s2 = 9439939, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13224821, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8094879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8094879, s2 = 8633524, int(edited[s2]) = 0 s1 = 8094879, s2 = 8633524, d1 = 2, d2 = 41 Dl.O(d1) = 17979788,255602015,31909896 Dl.O(d2) = 170895425,263355617,197544926,194831097,186717609,177401894,166854665,260348576,129140741,129140740,115209123,101131253,257259218,49361642,255301090,23400038,17127967,12037163,8092483,8092484,5833602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8094879, s2 = 8633524, dlinesl.size( ) = 2 s1 = 8094879, s2 = 8633524, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8094879, Dl.E( ) = 48, 1.12e-05 seconds used appending s1 = 7993747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13253747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6568509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6568509, s2 = 14252061, int(edited[s2]) = 0 s1 = 6568509, s2 = 14252061, d1 = 36, d2 = 57 Dl.O(d1) = 256056961,17992546,17992545 Dl.O(d2) = 159673323,170988333,181093551,263065170,170988317,262946619,189957458,273516746,189957432,264068077,209540040,209540049,204109410,273929351,263830246,263065168,262133448,147325252,147325253,159673275,166501557,159673330,262133452,149606960,136339090,136339091,149606962,149606949,149606948,149606912,149606913,262296747,142161389,142161388,154795346,159673258,147325244,147325242,159673267,149606954,147325234,147325233,261042285,111532234,261042281,147325233,261042285,111532234,97591476,83718015,259448324,46214447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6568509, s2 = 14252061, dlinesl.size( ) = 2 s1 = 6568509, s2 = 14252061, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6568509, Dl.E( ) = 58, 2.5e-05 seconds used appending s1 = 7981800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7981800, s2 = 14126278, int(edited[s2]) = 0 s1 = 7981800, s2 = 14126278, d1 = 6, d2 = 74 Dl.O(d1) = 18833135,25426619,29324713,25426387,18832921,16172357,14369096,9875020,6487244,6487245,9875022,14369099,20054884,21589290,21589289,18833113,18833114,18833158,18833159,25426647,29097020,29668976,22317586,16172363,11239707,7459941,7459940,11239704,16056372,11148583,7394445,7394446,11148585,9174357,6004770,3755312,2249009,1304670,1304672,2249002,3755300,6004698,3755272,3755266,3755265,6004687,9174217,13417882,15738773,15738772,21798422,29095927,27240820,27240821,32008238,24448360 Dl.O(d2) = 129698701,129698702,129698706,115799355,101752617,87779046,74174123,74174124,74174133,61393466,61393465,74174130,87779057,101752626,115799362,129698710,261428314,260264216,116502682,102407418,88407059,74775372,61978969,50486728,40450418,31755582,30918080,23481044,17197932,12093341,12093340,12653230,17867892,24243978,31755604,24434107,18020659,18020658,24434105,31989286,40738129,50844037,60742188,49338988,39409486,30804547,23376551,23376550,25803322,19156711,19156712,25803324,33600450,42625011,53072596,65055083,259065801,106670944,120923533,134721770,147847329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7981800, s2 = 14126278, dlinesl.size( ) = 16 s1 = 14163052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163052, s2 = 6469888, int(edited[s2]) = 0 s1 = 14163052, s2 = 6469888, d1 = 102, d2 = 135 Dl.O(d1) = 254982320,269195955,34185341,268049796,35214775,35214776,255753862,37706971 Dl.O(d2) = 254884305,5657809,5657808 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10247526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10247526, s2 = 3362424, int(edited[s2]) = 0 s1 = 10247526, s2 = 3362424, d1 = 25, d2 = 3 Dl.O(d1) = 50902231,40785658,32028998,24466858,24466860,32029002,269023631,32029130,255606455,18047114,257120219,50902259,50902260,62502595,75421549,75421832,62502847,50902450,50902451 Dl.O(d2) = 109839598,109839602,260420345,95636097,258554523,68114590,81603314,95636101,109839599,109839600,258915498,61998047,61998046,61998047,268263890,17885709,12668610,8603279,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,18870567,18870566,25470931,24263504,24263503,28698858,21446994,19129911,254449208,9415855,9415854,13742890,19235627,20859086,14957647,14957646,255785867,18927074,13493050,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,20105114,14415259,9914143,9914144,13562465,9285700,9285698,13562458,9356249,9356250,13662719,19134382,25774703,29322635,29322634,37890521,268752684,37760766,29199307,29199306,37760765,37886426,29317657,29317660,30433150,23026915,19466985,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484563,11275103,16219508,22375265,29732711,37022173,28524367,28524368,34000538,26158749,19459213,19459214,26158751,21569873,21569874,255812338,29317356,36870429,28373619,21156439,21156441,26157061,33998919,43057797,36870435,28373624,28373625,36779649,42040975,36779591,28283694 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6667480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6667480, s2 = 9121563, int(edited[s2]) = 0 s1 = 6667480, s2 = 9121563, d1 = 7, d2 = 10 Dl.O(d1) = 62520943,257121301,24476042,18054676,18054675,24476039,32040172,40799334,50918192,256817042,46421682,36558230,28088805,255366265 Dl.O(d2) = 4810075,4810077,7603254,7684229,7684230,7740665,11622310,15229321,11563285,7695929,4870492,2934955,2934958,4870501,4797127,4797126,4796919,2891471,2891470,4796915,7583932,7690420,7739636,7739635,7748442,7748443,11631058,11412454,11412452,7735601,4897626,4897627,7595582,7587532,4808471,2897976,2897977,1681567,956376,539054,539053,956367,1681539,2898027,4808584,7601172,11432963,255626493,16659038,11626551,7744713,4904429,4904427,7744710,7601581,7601582,255102111,16416713,16396332,11607093,7726872,4890856,2947284,2947283,4870196,2934778,1702043,1702042,2934774,4870194,4870200,2934782,2934781,4870198,7695520,11450895,7616167,4818766,4818765,7616165,11450891,16396775,11413230,7584690,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1699722,2930425,4822641,7622356,7735783,4897780,4897782,7735786,11616493,16417985,11445714,7612100,6472645,4056223,2427923,2427921,4056218,4813120,7608053,11430927,11430923,11431777,254786749,4813132,4813135,4821539,4821540,7620482,11456656,16442924,22629314,29998428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6667480, s2 = 9121563, dlinesl.size( ) = 2 s1 = 6667480, s2 = 9121563, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6667480, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 6568910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6568910, s2 = 10339643, int(edited[s2]) = 0 s1 = 6568910, s2 = 10339643, d1 = 49, d2 = 30 Dl.O(d1) = 256061969,18057032,254885355,5665844,5665847,8703764,12801388,18056989,18056990,256061957,40803629,257706383,59605014,48218204,48218203,59605012,48960491,48960490,258189345,257121598,50922940,40803641,32043802,24478955,24478952,32043799,25291163,25290805,18717502,13324132,9103916,9103917,13324137,18717512,25290827,33016321,39038419,41959662,41959661,256571278,33016269,39038612,48960061,48960655,48961932,60357388,258812549,60356028,48960240,39038813,30449864,256457085,39038680,30450901,30450900,39040169 Dl.O(d2) = 43060324,43060325,43024458,33966746,26128268,19433444,13905215,13905214,19235001,19235002,25894803,33700845,37888680,29320336,21991810,15894225,11018367,7294391,7294395,11018379,10379246,6839398,6839400,10379254,12575013,13925046,13925047,19433344,13905142,13905143,13927009,19460735,17075807,11988860,11988862,13617402,9559071,6272305,3927152,3927154,254780671,4759292,4759293,3128637,3128636,3145104,5162085,4510765,2710543,2710542,4510761,7161886,254270666,11260425,7475344,4724357,4724356,5134790,5134791,8044742,5162355,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5116630,3107843,3107840,1843393,1843391,1825913,1825914,3123813,5137189,3126674,1827781,1823502,1040869,1040867,1823494,3108036,5116885,5112474,4679226,2819055,1635484,1635483,2819037,3134703,1832737,1832740,1842904,1842905,3149997,5119268,5121097,3111194,3111190,5121085,8031770,11982813,17071371,23337506,30760212,29820442,29820443,22625800,254561822,29994338,30356584,30356587,30701548,38366667,30356403,22954703,22954702,30354010,23362243,23362244,22954931,22954932,23351855,17084394,11996778,11996777,17084393,22427920,23270836,22848065,16624124,16624121,22848058,30241662,30753016,23333875,17067571,254818706,28588333,30773517,30773516,23372379,23372378,30705097,254376468,17095850,15572805,254102886,7973872,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7993286,11921589,17008003,17072435,11984195,11984194,17072434,21707242,17242877,12125564,12125565,15571557,12125531,11327491,11327490,11530766,7670771,4853466,4853464,7670765,10847243,11939027,11939026,11939395,7990648,7990647,11915601,7970698,254565460,17002410,21599327,15571638,10770910,7116602,7116601,8618314,12687473,11977287,8024273,5113460,3105496,1814591,1036167,583753,583756,1036180,254255859,5113478,8024291,11977297,11987275,8038303,5128499,5128500,4757999,2867766,1664412,1664411,2867764,3121715,1824555,1824554,3097158,3097156,5102321,8013812,11330106,7527177,5102328,5102327,3155759,1846815,1846816,3155762,5173587,3155155,1846385,1846387,3155165,5173599,5175233,3156579,1847425,1847423,3156572,5175223,4757993,4757992,4757620,2867527,2867528,4757626,5113002,5113000,8023837,8041253,5131684,5131683,5129086,5075074,5075071,4756970,2867133,1664066,1664067,2867136,4756978,7523131,11326917,15177644,267768976,11330096,11330098,12003306,8057429,8057430,11984291,8038783,5129038,3117528,1821951,1821950,3117525,4756532,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5172485,7970810,11915732,254379856,30141556,28877732,21602583,17067170,254377994,254822285,268244373,23333584,268973289,60685319,259460385,115119181,129045904,142419478,263595999,201626317,265021273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6568910, s2 = 10339643, dlinesl.size( ) = 2 s1 = 6568910, s2 = 10339643, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6568910, Dl.E( ) = 50, 2.5e-05 seconds used appending s1 = 14164639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164639, s2 = 823281, int(edited[s2]) = 0 s1 = 14164639, s2 = 823281, d1 = 10, d2 = 10 Dl.O(d1) = 85651948,270835092,47938706,38024977,268631196,16013394,11117830,7373949,4658454,2806548,1628176,925851,254165113,2806546,2806446,1628094,925810,254165111,2806429,4658314,7373738,11117524,7858876,4987938,3012757,3012758,4987944,7858887,11771097,11771662,11117866,11117867,254248808,16833371,11771669,7859277,254079322,3012924,3012942,4988222,7859340,11771759,16833484,16832542,11771091,11771090,11771730,11771729,16013534,16013535,11771236,7859463,4988291,3012984,1750121,995205,560290,560291,995211,1750126,1749985,995112,995111,1749978,3012781,4987975,7858944,11771179,16832665,255515140,30499119,39095003,256460672,73174524,86787452,100768685,114821104,128721345,142080725,154719666,166430073,177014842,186376670,263198434,201528177,207411406,212263108,216227129,213052495,208343400,202634030,195839038,187902922,178800588,261554752,144647201,131424362,117623431,103492999,103492998,117623430,271169506,103492997,89398612,75637332,62692880,62692879,75637331,89398611,259159368,117623426,117623427,259786966,109424434,258530156,75637337,62692884,62692883,62692882,75637336,258530154,259786968,139781682,126407151,112536979,98542502,84617815,71053418,58337369,46969372,37087844,28583045,21353274,21353273,28583043,32145511,40922939,51063529,62692883,62692882,75637335,89398616,259159370,131424364,139781684,126407153,112536980,98542506,84617817,84617816,84617818,71053422,58337372,58337371,71053420,269311490,58337370,257437132,37087842,28583042,28583043,24562736,254689840,8738862,8738866,12850883,18059793,21314234,15343723,10598401,10598402,9920471,9920470,12535868,17719463,24076188,256540589,257088017,61769768,258902441,258923650,98495705,84572839,84572840,98495706,98495707,112487458,257108324,105168466,119371321,133210335,131424363,117623433,103493001,103493000,103492999,89398615,75637333,62692880,51063526,40922938,40922939,51063528,62692882,75637334,89398616,98542505,84617817,71053421,58337372,46969375,37087846,37087845,46969374,46969371,37087844,28583047,21353275,254959318,12816130,18077475,18076506,18076507,21325731,21325730,28550514,257433601,58293993,71008966,84572840,90977998,77089212,255207148,32903698,41368548,32520146,24877096,18379247,254110022,254081530,2160751,2160749,2160325,1250113,1250112,1282892,1283334,1283330,2210595,3692318,5908489,9041378,13252702,18639294,21319203,15348574,10602775,6995576,254332987,1521343,1521344,254332989,6995584,9121874,5969052,3732937,3732936,5969047,4091598,2447989,1415398,1415397,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,3734528,2235928,2235929,3734531,5970744,3733902,2235574,2235572,254442039,9124426,9997335,14528928,19186540,21344013,21344012,20109109,14419917,9918395,9918394,13702455,9384950,9384951,12905781,18195462 Dl.O(d2) = 85651948,270835092,47938706,38024977,268631196,16013394,11117830,7373949,4658454,2806548,1628176,925851,254165113,2806546,2806446,1628094,925810,254165111,2806429,4658314,7373738,11117524,7858876,4987938,3012757,3012758,4987944,7858887,11771097,11771662,11117866,11117867,254248808,16833371,11771669,7859277,254079322,3012924,3012942,4988222,7859340,11771759,16833484,16832542,11771091,11771090,11771730,11771729,16013534,16013535,11771236,7859463,4988291,3012984,1750121,995205,560290,560291,995211,1750126,1749985,995112,995111,1749978,3012781,4987975,7858944,11771179,16832665,255515140,30499119,39095003,256460672,73174524,86787452,100768685,114821104,128721345,142080725,154719666,166430073,177014842,186376670,263198434,201528177,207411406,212263108,216227129,213052495,208343400,202634030,195839038,187902922,178800588,261554752,144647201,131424362,117623431,103492999,103492998,117623430,271169506,103492997,89398612,75637332,62692880,62692879,75637331,89398611,259159368,117623426,117623427,259786966,109424434,258530156,75637337,62692884,62692883,62692882,75637336,258530154,259786968,139781682,126407151,112536979,98542502,84617815,71053418,58337369,46969372,37087844,28583045,21353274,21353273,28583043,32145511,40922939,51063529,62692883,62692882,75637335,89398616,259159370,131424364,139781684,126407153,112536980,98542506,84617817,84617816,84617818,71053422,58337372,58337371,71053420,269311490,58337370,257437132,37087842,28583042,28583043,24562736,254689840,8738862,8738866,12850883,18059793,21314234,15343723,10598401,10598402,9920471,9920470,12535868,17719463,24076188,256540589,257088017,61769768,258902441,258923650,98495705,84572839,84572840,98495706,98495707,112487458,257108324,105168466,119371321,133210335,131424363,117623433,103493001,103493000,103492999,89398615,75637333,62692880,51063526,40922938,40922939,51063528,62692882,75637334,89398616,98542505,84617817,71053421,58337372,46969375,37087846,37087845,46969374,46969371,37087844,28583047,21353275,254959318,12816130,18077475,18076506,18076507,21325731,21325730,28550514,257433601,58293993,71008966,84572840,90977998,77089212,255207148,32903698,41368548,32520146,24877096,18379247,254110022,254081530,2160751,2160749,2160325,1250113,1250112,1282892,1283334,1283330,2210595,3692318,5908489,9041378,13252702,18639294,21319203,15348574,10602775,6995576,254332987,1521343,1521344,254332989,6995584,9121874,5969052,3732937,3732936,5969047,4091598,2447989,1415398,1415397,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,3734528,2235928,2235929,3734531,5970744,3733902,2235574,2235572,254442039,9124426,9997335,14528928,19186540,21344013,21344012,20109109,14419917,9918395,9918394,13702455,9384950,9384951,12905781,18195462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164639, s2 = 823281, dlinesl.size( ) = 2 s1 = 14164639, s2 = 823281, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164639, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7836553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7836553, s2 = 7315688, int(edited[s2]) = 0 s1 = 7836553, s2 = 7315688, d1 = 43, d2 = 40 Dl.O(d1) = 3503100,5636633,8664370,254196934,2349546,2349545,3924637,6268234,6268232,5637722,5637721,8665623,12750231,12815884,12815883,12816323,255288987,13790071,19183555,19183554,19288351,255255054,8779079,8779082,12815407,12815408,18076696 Dl.O(d2) = 265330198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7836553, s2 = 7315688, dlinesl.size( ) = 2 s1 = 7836553, s2 = 7315688, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7836553, Dl.E( ) = 58, 1.69e-05 seconds used appending s1 = 9094033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 969000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9429970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 969138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 969138, s2 = 12645370, int(edited[s2]) = 0 s1 = 969138, s2 = 12645370, d1 = 90, d2 = 46 Dl.O(d1) = 24519759,18088534,12823806,8718648,5675093,5675096,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437 Dl.O(d2) = 258482480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 969138, s2 = 12645370, dlinesl.size( ) = 2 s1 = 969138, s2 = 12645370, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 969138, Dl.E( ) = 94, 3.19e-05 seconds used appending s1 = 709768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8042453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6569364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9378418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 254690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6583370, s2 = 14162631, int(edited[s2]) = 0 s1 = 6583370, s2 = 14162631, d1 = 13, d2 = 4 Dl.O(d1) = 256222068,18133975,12858868,8744583,8744584,12858871,18133976,18075995,12814891,12814890,10288818,6763601,6763602,10288823,11004518,11004517,15872711,11001644,7282763,4592783,3584741,254431645,8834136,12977786,18284470,19449378,13918083,13918082,19449376,18876728,18768483,13364816,10822482,7152307,267966767,15639408,21678603,28960392 Dl.O(d2) = 11105228,7365751,7365749,255074649,12050627,8101736,5190636,3167054,1854063,1854064,3167059,5190641,7364769,4652247,2802516,1626027,924599,521220,292172,292173,521224,924612,935361,527147,295355,295356,527152,935371,1644944,2835472,4706897,4706957,7449818,8617798,11104962,7364686,4652172,4652171,5602407,5602409,3484135,2068740,2068741,3484116,4652841,4652840,5609794,4706832,4706833,5602346,3478082,3478083,3484151,3484152,4653072,5601506,3477176,3477177,5601508,3479328,2064875,2064874,3479324,2802953,1626020,1626019,1626032,924601,924602,1626035,2802980,2835462,4706875,7449722,5603003,5603002,5609970,5609969,4669933,3484195,3484194,5609857,5601874,3477559,3477560,3477567,3478203,5602470,5609885,5603111,3478697,2064388,2064389,2064293,2064291,2063999,1184587,665404,665406,1184594,2064007,2065085,1187757,667291,370174,370175,667297,1187764,2068775,3484187,4321752,6884549,5603903,5603350,5603349,8617553,5610610,3484791,3484793,3480627,2065871,2065870,3480621,3483244,2067871,2067873,3483249,3476998,2063518,1184304,665229,665228,1184300,2063510,3477571,3484223,2068818,2064674,1185036,1185011,1185012,2064630,2064032,1184606,665411,369068,369069,665414,1184610,1187785,667313,370187,202685,202684,370182,667307,843604,1490080,2585230,4321755,6884553,8617599,5605089,5604396,5604397,5609050,3483381,3483380,3478099,2063949,1187057,666883,666882,1187055,1187296,2068191,3477546,2063500,2063501,3477549,5601872,8617358,8617914,5602464,3478955,2064636,2064637,3477519,3477520,2064017,1184598,1184599,2064019,3478178,5602441,5609876,3484209,3484208,3479364,3479281,2064836,1490088,1490087,2064849,2063346,1184196,1184197,2063351,2064427,2064428,2068001,1187140,666930,369988,369989,665347,369986,369984,666924,1187131,1184566,1184565,2063968,3478118,254618013,12686857,254618113,5603370,8617166,254878745,8627390,8626200,5608875,3483254,3483253,5601870,5601869,5608878,3483256,254194645,1187062,2063833,3477930,5602201,254877859,8623885,8623886,8624144,5607290,5607289,8621461,12691111,12694693,8624085,5607207,5607206,8624082,12690707,267916819,5605082,254422659,3481695,5606878,5607259,3482008,2066911,1186421,1186420,2066908,3482006,3482024,2066923,2066924,3482026,5607277,254618649,5608876,8626201,12686753,12694627,12694626,255205697,24300894,269849224,8624054,8624055,12694667,256049341,17911290,17911289,24293364,24300756,17917619,12694574,254618453,3481887,3481888,5607117,8623978,10822847,8623901,5607053,3481836,3481835,5607047,8623894,5607101,3481873,2066810,1186359,666469,666470,1186363,2066816,3481880,5607105,7152882,7152881,10823163,10823166,10823167,15640265,15639934,10822928,7152682,7152681,8624121,12694635,8624031,8624030,12694633,17917682,12694650,8624046,8624047,12694657,17917698,21679160,17917668,12694613,8624005,5607143,3481909,2066825,2066823,3481903,5607136,7152553,7152552,7152588,4504283,2706801,2706800,4504279,3481884,2066818,2066819,2066797,1186354,1186355,2066801,3481865,4504254,4504253,4504526,4504524,7152884,10823113,15639913,15639912,10822942,7152692,4504359,4504356,7152687,10822878,7152725,4504390,4504391,7152730,10822999,12694516,12694517,15639890,21679163,21679155,15639901,12694529,8623925,8623924,5607130,3481898,3481899,5607134,8623997,10822840,7152831,4504471,4504271,2706795,2706796,4504274,7152583,10822867,8623938,8623934,7152876,4504516,254228345,892128,254161253,2707010,4504267,7152577,7152650,4504333,2706843,2706842,2706817,1568623,1568624,2706822,4504320,4504063,4504062,7152298,7152569,4504258,4504257,7152312,7152311,10821687,7152736,7152737,7152620,4504305,2706809,2706808,4504300,7152609,4504460,4504459,5609056,7152916,4504546,2707030,1568785,892134,503437,282352,282350,254121199,1568777,2706774,1568601,1568600,1568815,254339133,4504331,2706841,1568667,1568666,1568684,1568683,2706899,4504327,7152322,7152301,4504100,4504099,7152337,7152944,10823239,15639882,15640234,254743551,7152812,4504458,2706957,1568721,892090,892091,1568725,1568744,1568745,2706980,2706361,2706362,4503544,2707007,1568769,892126,892127,1568760,892121,503430,282347,155939,155938,282342,503420,503443,503442,892143,1568679,892056,503389,503390,892063,1568629,2706829,2706654,2706653,2706637,1568501,891956,503328,282289,282287,503321,254161229,2706619,2706950,4504453,4504440,2706941,1568712,1568713,2706925,1568696,892071,503396,282332,282333,503400,892077,1568702,892162,503455,282364,155954,85611,46962,26169,26168,46958,85606,155945,282358,503447,892149,1568673,1568672,2706888,4504385,4504086,2706662,1568523,1568524,1568534,891977,503339,282297,155911,155910,282274,503298,891899,1568404,254339063,2653125,1534371,1534370,267787871,4504073,7152308,10822484,15639412,21678605,28960395,37503446,258078333,259947141,99023037,260547571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6583370, s2 = 14162631, dlinesl.size( ) = 2 s1 = 6583370, s2 = 14162631, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6583370, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 13218877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13278217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13278217, s2 = 13277566, int(edited[s2]) = 0 s1 = 13278217, s2 = 13277566, d1 = 41, d2 = 19 Dl.O(d1) = 24699555,24699581,18229848,12930324,12930325,18229754,17890855,12672550,12672549,12672556,17890862,23371795,255531340,31786713,32313032,32313180,39127844,30529496,30529497,30359652,30359651,31782595,40477159,49057864,39127837,30529493,24269866,17892305,12673699,12673698,17892303,23553908,23553909,31035624,39712910,31035596,23553891,23553892,31035598,39712912,49115656,60353754,48957552,47461131,47461130,51092065,48920881,38997025,38997024,48920880,60319000,51094346,40951123,40951124,41126180,41126179,256454570,51384341,51384340,49731583,49731585,51094340,40951101,32171662,24585714,18141535,12864541,12864542,18141537,24585720,32171669,40951014,40951015,40951011,32171513,24585544,18141400,12864468,12864469,18141404,24585548,24585774,18141580,12864566,8748881,5696203,5696202,8748877,12864552,18141558,24585627,18141457,12864496,8748844,8748845,12864500,18141461,23003126,16763499,11716094,11716096,16763506,23003140,17245274,12127617,8159294,5230231,5230232,8159302,12127628,17245292,23553965,31035689,32171626,24585705,24585685,23003271 Dl.O(d2) = 18141664,18141665,24585884,23002803,23002474,16762768,11715450,11715449,11715651,7817096,7817095,11715647,16762869,16762868,12863083,11715523,7817022,7817023,11715527,16762859,16763161,16763160,23002587,23002584,23002623,254806362,254553972,11715823,11715824,11715559,7817038,4959370,2994515,2994516,4959372,7817044,11715575,254553896,16763300,16763296,23002921,30407803,254247872,23003165,16763835 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13456193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8556874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 655956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6616971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6616971, s2 = 11146940, int(edited[s2]) = 0 s1 = 6616971, s2 = 11146940, d1 = 53, d2 = 41 Dl.O(d1) = 256582229,24603927,257717981,75692816,255615742,77141461,64010744,52177514,254626944 Dl.O(d2) = 113054984,259364076,258115454,47459777,37552308,37552309,46420383,36556998,36556999,40809505,43414946,43414945,42747947,33718676,33718677,40809791,32049720,24484299,255214629,8706789,8706790,12805172,18061581,24484303,27244221,27244219,21426290,21426289,15434077,15434078,21426313,28674108,22253740,22253742,19250478,14472924,9957983,6544774,6544775,254979605,20172078,27066401,29881206,260612797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6616971, s2 = 11146940, dlinesl.size( ) = 8 s1 = 14963014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 973642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 973642, s2 = 5587287, int(edited[s2]) = 0 s1 = 973642, s2 = 5587287, d1 = 1, d2 = 11 Dl.O(d1) = 24638111 Dl.O(d2) = 228967868,228967870,228967869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 973642, s2 = 5587287, dlinesl.size( ) = 2 s1 = 973642, s2 = 5587287, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 973642, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 14172467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14172467, s2 = 14046705, int(edited[s2]) = 0 s1 = 14172467, s2 = 14046705, d1 = 30, d2 = 25 Dl.O(d1) = 269941424,53122096,53122095,270022559,260907339,262005239,273250075,264076331,209674503,265107869,274381799,274441395,181392580,273714608,193735340,263890717,273714606,193735339,262702766,175991797,165296168,261159014,127459097 Dl.O(d2) = 147845622,142558282,142558283,261645482,177435488,186747067,190163986,263739131,190163989,181354950,171326278,160099707,147845588,134719663,120921299,106668621,92364555,78331670,269097368,42623268,33598760,33598759,33964258,26126059,19431511,13903481,9541484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14172467, s2 = 14046705, dlinesl.size( ) = 2 s1 = 14172467, s2 = 14046705, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14172467, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 974791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9362482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9362482, s2 = 2254661, int(edited[s2]) = 0 s1 = 9362482, s2 = 2254661, d1 = 10, d2 = 11 Dl.O(d1) = 55701349,51277307,256372900,32289779,32289778,24679861,24679860 Dl.O(d2) = 60509063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9362482, s2 = 2254661, dlinesl.size( ) = 20 s1 = 975275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 975275, s2 = 15887742, int(edited[s2]) = 0 s1 = 975275, s2 = 15887742, d1 = 12, d2 = 32 Dl.O(d1) = 24688006 Dl.O(d2) = 3521782,254426223,254884899,12795748,16575590,11556571,7690177,4866435,4860776,2929167,2929166,2932420,254545153,7598596,4806772,2896988,1681025,956138,956133,1680997,2896905,2897029,4806828,7597768,7729370,4893887,4893888,4902060,2954499,2954501,4902064,7591828,4802210,2894453,1679760,955516,538700,538699,955509,956420,956421,1681676,2898320,4809139,7602071,11424168,11421711,7591723,4802139,4802138,7583541,4797899,2891988,1678488,1678492,2891998,4797920,7585534,7603901,7690500,11426015,10347950,10347949,15020415,16420760,11455249,7619440,4820865,4820866,7619443,11442155,16400015,11438443,7746691,4905628,4905629,6866728,4309660,4309659,2956750,1714435,974121,548402,306985,169824,93452,93451,169821,306975,548381,974079,1714361,2956612,4905438,7746375,11628877,16662243,22891731,30289983,38875873,41109389,32299020,24688011,24688010,24688007,18220725,12923646,8791507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 975275, s2 = 15887742, dlinesl.size( ) = 8 s1 = 8173738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13203491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 977559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 977559, s2 = 16232185, int(edited[s2]) = 0 s1 = 977559, s2 = 16232185, d1 = 6, d2 = 10 Dl.O(d1) = 51352897,41167652,32352594,24736639,18263523,12959904,8819709,5746235,5746232,3774748 Dl.O(d2) = 17833988,24203687,31287421,31287430,23800783,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,22362987,16209625,16209628,13607240,9317546,9317548,12626008,12625974,8571876,8571873,8571884,8571881,12625983,17831027,19208867,255715052,40361599,43899747,34627490,26637633,19825561,19825560,26637632,21521990,15510123,15510122,17637901,12462123,8431013,5442819,5442820,7328283,11052741,14060602,9670104,9670103,14060596,17417119,17417120,13594218,13594217,19043760,23151692,25663718,19043866,19043863,25663712,33433038,40582157,31878093,24353206,17960092,12727214,12727211,12951559,9184937,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772575,6030382,9211146,13083853,13083855,18420342,24931790,32593496,41470552,33389183,26332351,26332350,33073839,25343774,25343772,26417011,26417010,34293172,42303080,33322306,25560260,268204930,13510690,14557740,10017393,7246871,7246868,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,8377673,9248634,12390522,17561399,12399574,254596339,5407900,8379772,8368247,8368248,12376318,8363280,8363277,12376309,17545916,17660007,17660008,12488273,12488275,17660034,24005354,31213776,23735263,23735264,23922495,31412093,40091853,50112372,61592395,74368876,87970941,101943352,115987547,129884894,143214439,261804666,167398619,262788128,187163301,195233455,273590341,178401880,167988305,156424384,143917363,143917362,143917365,156424387,167988307,178401883,263656001,202437073,264585735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 977559, s2 = 16232185, dlinesl.size( ) = 2 s1 = 977559, s2 = 16232185, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 977559, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 977717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 977717, s2 = 2481831, int(edited[s2]) = 0 s1 = 977717, s2 = 2481831, d1 = 5, d2 = 22 Dl.O(d1) = 24739805 Dl.O(d2) = 70900111,58187086,58187087,269097402,77990014,76298090,64164052,52312561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 977717, s2 = 2481831, dlinesl.size( ) = 2 s1 = 977717, s2 = 2481831, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 977717, Dl.E( ) = 44, 2e-05 seconds used appending s1 = 14243447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14243447, s2 = 14164475, int(edited[s2]) = 0 s1 = 14243447, s2 = 14164475, d1 = 8, d2 = 3 Dl.O(d1) = 35884,65736,120705,219755,394170,700925,694113,254142817,394164,219752,219753,394167,254143501,2141349,254291245,2127458,1227624,694700,389320,389321,694701,1227504,694604,389220,254110163,1227492,2127283,3568970,254429661,2121635,1223514,1223515,2121638,3560637,3568976,3568975,3591576,5766172,8842881,5762993,5762995,6765237,6765238,8720891,254897077,5766190,3591588,2141358,254291243,5766138,3591551,3591552,5766141,8847449,12934913,255230565,8853097,8853098,8720887,5676594,3568998,3568997,5731955,8799634,12934945,12935478,18236474,18235803,17962109,12728564,8648935,5731941,3568989,2127293,1227500,1227499,2127290,3568983,5731927,8799599,12934905,18235794,268277753,8799625,8799624,12934933,12934927,8799618,5731938,3568988,3568987,5731936,8799614,255621887,29567966,38134120,32415948,29567977,29567979,32321598,32321597,32321616,29567936,22221598,22221599,29567924,256933533,59439341,72177749,85772053,75824712,62860871,62860870,258174224,256984340,62048836,62973993,75955470,76671967,63585427,51799596,51799597,63585429,258991429,104703430,100250346,86287093,72688896,63207663,51497385,41282985,32443702,32443703,255870784,255870782,62989682,62989684,75971849,89750747,90022918,90022919,104147653,91501003,77569897,75971758,62989601,51311204,51311202,258097160,59333215,47941427,38027720,38027719,47941423,59333207,72067584,75971823,75971824,72067591,72067590,76218665,63207660,63207661,76218667,86287175,72688992,72688993,72679922,72679923,63207699,51497419,41283017,32443730,32443729,41283016,255870780,75971753,75971754,85654970,72067580,60008789,60008788,63207691,76218694,257487064,269800190,100250401,100250402,258720846,116363766,102270065,90022895,76218663,76218662,63207693,63207694,76218699,81567109,81567108,78411693,78411692,74641299,61848735,50364388,50364389,50364484,61848826,65130054,61848882,50364546,50364547,50364480,257285571,34600303,26613050,19804796,19804795,26613048,268812301,257824481,53145188,54613024,54613025,59119453,47721864,47721865,59119455,50364482,40337224,31648554,31648556,40337228,50364492,42694712,33664007,25857886,25857885,33664005,42694706,53145169,65130070,61848864,50364528,40337256,40337255,50364527,61848863,74641408,88271743,259295040,257723377,51213619,41056308,41056309,38027727,38027728,47941442,40337124,40337125,50364353,61848708,53541444,53143900,53143901,63991556,52162966,52162968,59333265,47941493,47941492,53541439,61819216,61819214,74611142,80306370,74229494,74229496,65128679,53143904,47941459,38027738,33662947,25857052,25857051,33662943,269099591,65128675,78410202,78901149,72006376,59270391,59270392,64734837,67720864,75827913,62863708,51213533,51213535,59333182,59333183,52819231,52819230,64734857,61819163,50335953,40309991,40309992,50335958,43876391,43876392,54618870,66876751,67762654,55422543,55422542,63140292,54618856,43876387,34605765,34605766,43876390,54618865,66876743,74611162,64734829,52819218,50335935,50335934,40380699,31686936,31686935,40380696,50415063,51441251,63140300,74698990,72067616,65128833,53144040,50303209,50303208,61782555,74565630,74565640,61782564,50303214,50303215,61782566,258539691,55422538,55422537,257673147,50335991,61819197,74611132,88241688,257735946,88326783,77925672,64734845,52819225,52819226,64734848,65128677,65128676,76613337,76613338,77925657,77925655,66876738,66876739,75034125,88684735,269045118,92510818,88684758,88684757,88684773,75034166,75034167,78901145,91849948,77925663,77925664,75034138,75034139,88684749,89955714,89955715,92445766,93011062,93011063,88684745,88684737,76147941,76147942,89955710,88684746,258419900,65128887,65128886,65128731,256927988,33662961,25857058,19200090,13712543,9392044,9392046,13712548,19200101,25857081,33663006,42693618,53144084,269806164,65128846,78410356,91412413,77481613,64317462,64317463,64317274,52449523,42096591,33142575,25402626,18813208,18813209,25402631,25402619,25402620,33142562,42096767,52449765,46298022,36444669,27985245,20820497,20820498,27985248,36444677,46298033,52449629,42096659,33142478,25402557,25402558,33142481,33142489,33142447,25704482,25704483,25767395,19127658,19127659,25767397,33556934,42573914,42573915,42573917,42573916,257817569,64989413,78263003,92290033,106588330,120836794,134633888,131868978,118044445,103902771,89801715,76024736,63041666,51360338,41174117,32358283,24742002,18268990,12965355,8824502,5749655,3772711,3772716,6030634,4506461,2708017,1569188,1569186,2708012,4506455,7155550,10826237,15643513,21682745,28964710,37508107,47415934,58803144,65396759,71532188,62696390,62696389,75640363,89401241,91889839,77964953,64770106,52850394,42446198,33453136,33453137,42446200,52468947,52850396,257025706,77500819,77500820,91431868,99540087,85592960,72006028,59269964,47874300,37955964,29390911,29390910,37955963,38994614,30405311,30405310,38994612,48918389,47329591,47329592,37421279,28879420,21603864,15575863,15575862,18286508,18286507,23000154,28377231,36874011,30405312,23000210,16760430,11713310,7815018,4957691,2993142,1738002,987640,555681,555682,987642,1738006,2993146,4957698,7815026,7020843,4415268,4415269,7020845,10635541,15389557,21369588,25334483,30405794,38995129,30775476,23676769,17356675,12227031,12227032,17356677,23676775,28112242,20935482,20935483,28112245,36584724,268424035,16945712,11860039,7926493,7926497,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340384,5039367,5039371,7927175,7927174,10482593,15198168,21153240,16950066,11862858,7928076,5039760,5039763,5038935,5038938,7926416,11859897,16945487,16946790,15254772,15254774,15493858,10714585,10714582,15493850,11863196,8255320,5325583,3273353,3273354,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,1013303,1777342,3050934,2207806,1284596,1283689,733415,733414,1283603,2211188,3008734,4980913,254286446,16806249,23052190,30459946,39049504,48918744,48918745,268049448,30405809,23000645,254215580,38995165,46591859,57968187,70686107,66876774,59218444,47820137,254980986,55726503,55726502,68124255,269194848,74288920,256753162,48918998,38995135,255758934,57656594,46312190,46312191,42006650,42006651,51430682,41232743,41232731,32407916,24783245,18301755,12990968,8843918,5763670,3589961,2140314,2140315,254631671,12990975,18301762,20214855,14505603,9981436,6560475,4109982,4109981,6560474,9981365,6560413,4109930,267872293,9981361,14505567,20214817,27117508,35209138,44589152,55438581,55438582,257920335,53722750,43210876,34123513,34123512,43210875,48683208,48683207,38761469,30178263,22789382,22789380,268648619,48683199,55438653,67781629,81251023,95311926,109568716,123759935,137485119,150516667,261921346,183447050,192002830,194249072,186038299,176619845,165976127,165976126,176619844,186038297,194249071,264520765,263852740,193132539,184775747,175205433,175205424,164421435,261646934,139849693,126478659,126478660,139849696,152562923 Dl.O(d2) = 175205425,263092960,175205428,175205429,184775738,193132530,193132528,184775749,175205433,175205424,164421437,164421436,164421440,164421441,175205429,184775738,193132530,200304340,193132523,184775733,263092960,184775736,184775749,175205433,272528608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14243447, s2 = 14164475, dlinesl.size( ) = 2 s1 = 14243447, s2 = 14164475, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14243447, Dl.E( ) = 10, 1.38e-05 seconds used appending s1 = 717844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 717844, s2 = 11317022, int(edited[s2]) = 0 s1 = 717844, s2 = 11317022, d1 = 23, d2 = 7 Dl.O(d1) = 18302388,269460784 Dl.O(d2) = 145286360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 717844, s2 = 11317022, dlinesl.size( ) = 14 s1 = 6471088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6471088, s2 = 7099140, int(edited[s2]) = 0 s1 = 6471088, s2 = 7099140, d1 = 25, d2 = 32 Dl.O(d1) = 254897223,255627067,269045206,9792966,6437945,4038448,2419894,1400752,1400754,2419886,4038431,6437907,9792901,14245752,19882413,24466494,19881614,14245156,14239733,9788848,6435454,6435453,6435430,4036992,4036993,255318467 Dl.O(d2) = 263793606,262567442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6471088, s2 = 7099140, dlinesl.size( ) = 2 s1 = 6471088, s2 = 7099140, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6471088, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 7883699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9734944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9734944, s2 = 8677470, int(edited[s2]) = 0 s1 = 9734944, s2 = 8677470, d1 = 46, d2 = 57 Dl.O(d1) = 258788345,72731229,270275872,51540762,41319603,41319604,51188892,41319613,32473811,24833934,18340085,13019242,8864321,5778254,3600426,254898495 Dl.O(d2) = 268710688,255617506,26142305,256692855,53517756,270360636,39416672,260680201,261800577,264265647,191927926,263435400,261556120,128073844,114187185,269818880,256960748,2903283,2903499,4818035,7614389,11448907,7618671,4820356,4820355,4818217,4818209,4818207,255103869,269821072,261199135,154110840,165877814,176532155,185961037,194181258,194586040,194586041,194586046,194586045,201569104,207148771,201569101,263591924,262296212,262296215,177077945,186432733,194586042,201569100,264232498,273878498,273564259,142156290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 511988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 511988, s2 = 353037, int(edited[s2]) = 0 s1 = 511988, s2 = 353037, d1 = 17, d2 = 12 Dl.O(d1) = 8886447,13045821,254895594,18370526,18370373 Dl.O(d2) = 8886472,13045882,18370472,18481893,13130416,8949035,8949034,7756531,4912251,4912249,7756519,8101432,9946770,11170542,7410824,5675012,5675017,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,3529697,3529702,5674937,8718308,12823253,268967204,269439003 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9070821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 719926, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13267691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13267691, s2 = 6571340, int(edited[s2]) = 0 s1 = 13267691, s2 = 6571340, d1 = 2, d2 = 1 Dl.O(d1) = 4084960,2444002,1413164,1413165,2444005,4084966,6519619,8928878,8928877,8738887,8738888,6267638 Dl.O(d2) = 255397125,21350774,17444193,12296486,8304936,5358441,5358439,8304931,12296474,17444178,19052757,13601226,9313312,9313311,13601229,19052762,268498035,268969416,29485686,26614873,19806325,19806326,256199105,37965709,29401398,29401399,256621612,28991196,28991195,29401449,22070991,15966063,11081729,7348285,4641207,4641206,7348284,11081727,15966058,16028407,16028406,22147413,29485781,257156653,256090885,257156655,63396030,258984971,259024512,72336233,257193274,48213432,59600959,59600883,48213369,48213370,38468196,38468133,38468132,48369695,48369702,44071761,34754960,26734990,26734988,34754955,44071754,54872243,64445959,58829894,47443920,37535896,37535897,47443922,58829899,71557263,64445687,64445688,259035821,77613810,64445689,64445690,77613702,64445478,52570375,52570374,59600952,67191705,269766646,42210127,33248296,25497551,25497552,33248169,25497486,18892264,18892265,25497487,33248171,39773477,31095110,23611389,23611388,31095105,39773471,49793316,42210140,33248303,33248304,42210144,52570761,42210389,33248488,25497667,18892372,18892373,25497670,33248496,42210402,52571030,64446019,64445824,52570757,42210136,42210135,52570755,64445823,58836027,47449793,47449796,39306810,39306809,49233653,60634583,67763513,55423470,55423471,61846035,50361840,50361839,58835952,257092393,40334447,50361754,61846012,57717850,57717849,70411972,71563203,74638346,61846022,50361766,47449574,44833633,44833635,55741510,63213367,61846068,61846042,58836036,47449801,37541804,37541805,47449776,47449777,55732034,67763529,55423486,55423485,67763526,67763593,58835954,47449712,47449711,58835849,71563135,71563241,58836024,47449791,47449639,269322687,50361790,50361788,44576256,44576257,55423592,257470983,37541722,28996413,21711764,21711763,28996412,37541721,47449681,41313521,34753152,34753153,36509988,31284602,31284601,27282634,27282633,28873911,28873910,37415505,47324078,47489908,47489907,49963078,49963077,58870945,47489764,47489763,58870943,67690504,58835865,256890713,37541680,47449634,47449763,58836005,55423480,55423481,49963059,49963058,44576278,44576277,55423607,48596255,47489737,47489736,58870928,71593214,81229643,67763500,55423446,55423445,44576165,37585039,29037440,255424287,10864492,7183243,7183242,10864489,15693966,21745343,29037432,37585027,47489741,47489739,58870931,47490038,47490037,58871126,71593323,71444171,58712975,54869799,47489752,37584809,37584808,46700203,36817595,36817597,46700208,37584860,29037333,29037298,21745264,21745263,29037293,256207872,44614755,44614758,55463459,55731922,67804984,55463469,55463468,47336374,37428133,28886126,21610084,20336735,20336733,27272627,35399128,44824694,44824605,44824604,55463456,54869749,47490000,37584992,37584993,47490004,49890568,39868407,31185953,31185951,33805866,33805865,42846570,35398852,27272407,20336599,20336600,27272409,35398855,42846584,42846585,53309061,65308439,55423505,55423506,257296670,44824486,55731881,44824413,35398833,27272394,20336594,14595182,14595181,20336592,27272391,27272432,20336616,14595192,10042841,10042840,14595189,20336611,27272423,35398879,27272741,27272740,35399248,256240795,27272815,35399344,27272834,27272833,35399085,35399207,255332070,254691476,35399568,27273450,20337389,14595688,14595689,20337393,27272923,20336952,14595398,10042968,6599862,6599860,254987787,255763061,27273149,27272553,20336692,14595238,10042864,10042865,14595239,256240761,24521139,24521140,30009618,25518720,25518719,33278916,31765177,29912645,29912642,32095932,29824274,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925873,11576295,7705403,7705402,11576292,12824626,18089622,24521133,256575061,51002886,62625678,75564478,258904130,89400216,75639149,62694984,62694983,75639148,89400214,103494456,117624786,131425715,144648601,131425713,131425714,144648602,157022473,144625967,131405023,117605180,117605179,131405021,144625925,131404996,117605167,117605168,131404997,144625927,150143641,150143643,137077438,137077437,259848712,258599438,94844196,258599440,94844200,80777115,67307328,54980012,44160007,44160005,54497417,55071977,55066197,44234557,34879190,34770260,26779052,19928048,19928045,19927624,14272924,14272925,9808317,9808313,14272935,19927637,26778552,34820202,44160019,257897371,52034144,41719603,41719602,41717648,32799306,32799305,41717645,32799880,25098990,25098991,32799919,34877621,26821073,26818341,19954486,19954482,14322502,14322504,9838658,6462017,6447276,6447273,9810545,14276761,19933859,26511945,30402024,30402021,38990455,43600320,34422106,26549351,26527248,19748381,14150726,14150729,14147436,9729614,9729616,14147546,19741694,26513911,34448668,34491221,34814243,30954719,23503470,17222529,17222526,23520160,23520163,26738761,19902482,14256963,14256957,19902487,26739308,34762636,44083532,44328975,34954438,255766510,55177269,56779075,56156067,56156064,56097109,56097108,68567560,268901626,56650696,45520059,35886440,35886439,45520054,56650693,69211149,82508608,68986895,56461457,45380233,45380231,56461455,68986893,270703825,82508606,82508607,260655246,259203337,261544306,56734104,69300283,82820154,96774400,83543615,70011744,70011743,83543613,257614862,52075994,41762915,32843077,25137778,18583372,13205935,9003448,5877856,3669678,3669680,5877854,3669678,3669680,5877854,3669678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13267691, s2 = 6571340, dlinesl.size( ) = 2 s1 = 13267691, s2 = 6571340, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13267691, Dl.E( ) = 6, 1.29e-05 seconds used appending s1 = 8186173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8186173, s2 = 6571436, int(edited[s2]) = 0 s1 = 8186173, s2 = 6571436, d1 = 10, d2 = 11 Dl.O(d1) = 73340684,60596025 Dl.O(d2) = 256091769,41425652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8186173, s2 = 6571436, dlinesl.size( ) = 26 s1 = 983454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6628296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6628296, s2 = 765845, int(edited[s2]) = 0 s1 = 6628296, s2 = 765845, d1 = 62, d2 = 1 Dl.O(d1) = 256697014,24936963 Dl.O(d2) = 19508774 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 984031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1993221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1993221, s2 = 10199888, int(edited[s2]) = 0 s1 = 1993221, s2 = 10199888, d1 = 6, d2 = 6 Dl.O(d1) = 51767782,41496337,32615830,24950177,255634907,18434472 Dl.O(d2) = 51767782,41496337,32615830,24950177,255634907,18434472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1993221, s2 = 10199888, dlinesl.size( ) = 2 s1 = 1993221, s2 = 10199888, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1993221, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 1633921, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2346491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 985629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 708747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 708747, s2 = 985369, int(edited[s2]) = 0 s1 = 708747, s2 = 985369, d1 = 5, d2 = 9 Dl.O(d1) = 255688222,18071563,18071564,24499014,32071153,32680765,25002539,18476563,18475684,13125841,8946466,8946469 Dl.O(d2) = 13126434,13126432,9371488,9371494,13684605,18479136,13128210,8947525,8947523,13128201,18479121,24496883,18070035,12810576,9858409,6475883,6475886,9858415,268172973,17967057,17967056,18071803,12811824,12811823,18071802,24499312,24619309,22912490,22912489,24989994,32210648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 708747, s2 = 985369, dlinesl.size( ) = 2 s1 = 708747, s2 = 985369, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 708747, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 986416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13411353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6750415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6567372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6543937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9151936, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 726083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 989906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 990194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 726921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1301405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9336716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9336716, s2 = 11286567, int(edited[s2]) = 0 s1 = 9336716, s2 = 11286567, d1 = 13, d2 = 16 Dl.O(d1) = 32547443,24898311,18395772,18395769,24898308,24898340,24898339,30269264,30269265,24336220,17946381,17946382,24336222,28900064,21624958,15594244,10787791,10787792,15594237,19004239,13563054,9286182,6083192,6083194,9286169,13563036,19004209,25618313,21520769,21520770,28784416,27671972,25143394,22274255,16132055,16132056,11274592,11274591,13208090,13208088,9003940,5877864 Dl.O(d2) = 6679461,4187996,4187994,4195493,4187809,2504896,2504898,1447384,1447379,2509822,4195995,6695588,10188917,14814905,20660570,27751768,36111639,45839781,57062275,68326473,68326469,81850615,95908295,110116720,124231635,137732314,130912596,117101201,102989485,88936753,75232677,62356554,50792287,50792289,62307495,65011673,65011675,62250600,62250603,62353406,50790125,40698773,40698774,40698795,40698797,50790177,62353525,60042902,48646538,38725531,38725533,48646549,60042926,72781492,82733892,69206351,69206354,82733907,88754126,96655308,88860572,88860569,83020328,69493053,56898950,45711620,36019993,27690042,27690045,36019966,35479680,27332943,27332941,20606556,20606560,27670942,27306083,20365457,14617551,10057524,6608173,6608171,6648017,10058103,6664152,6664150,6677375,4183350,2501507,2501505,4176769,4176766,6669976,10154451,14765380,20585330,27635978,35935147,36040142,36040143,45586697,56732131,53663332,43154523,34072291,26212717,19500143,19500142,26212712,34072278,43154499,53663291,61852715,50367830,40339647,40339646,50367825,46025801,36245109,27843027,20720712,14854128,14829796,14829798,14863104,20734677,14891837,10239766,6728059,4215282,4215281,6635098,10104604,14692374,20475603,27464482,35666128,45192502,45624231,42214441,42214439,52576234,64451341,69302005,68702667,56213584,45193382,45193381,257949669,82229332,88285543,97353528,111343053,125206694,116856793,116856794,110939432,110939431,124718121,130205590,116369903,259532087,88285539,102279606,116369904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9336716, s2 = 11286567, dlinesl.size( ) = 2 s1 = 9336716, s2 = 11286567, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9336716, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 991465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9682712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 991840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3528820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3528820, s2 = 7996214, int(edited[s2]) = 0 s1 = 3528820, s2 = 7996214, d1 = 16, d2 = 11 Dl.O(d1) = 117582985,103452613,103452614,117582988,129785209,115887004,101842501,87870466,74268895,61492167,50014306,39996294,39996295,50014310,41777185,32856579,25149779 Dl.O(d2) = 254908299,5879354,3670739,2197105,1276421,1276420,2197100,3670727,5879579,9006914,5879641,5879640,9007047,13213378,9007143,5879716,3670714,2197093,2197094,3670718,5879416,3670558,2197010,2197009,2196965,1276346,1276345,2196959,3670469,3670442,2196945,1276375,1276376,1276387,2197028,3670586,5879456,9006760,9007011,9007010,13212650,13212651,9007151,9007152,9007068,9007065,13213353,9007015,5879613,3670667,3670670,3670636,3670637,5879553,3670647,3670646,5879564,9006947,13213258,13213390,9007053,5879647,5879648,9007057,13213394,18593950,25150003,18593541,13213081,9006817,9006706,9006689,5879396,5879397,9006694,13212894,13212895,18592987,25036419,18502842,255240151,8959456,5848013,5848017,8959467,13145632,18502869,13213288,13213286,18502833,25036412,18593788,18593790,13213348,9007007,5879605,5879603,9007001,13213336,18593892,25150793,25036385,20028467,20028468,26912901,34994361,26914031,26914032,25150774,25149883,18593236,18593237,25149889,25036445,25036444,25150763,32723311,25036402,25036401,26913831,26913848,25036370,25036372,25149868,25149867,25036357,18502801,18502800,25036354,32723261,256613921,34994994,34994597,26913151,20028731,14345726,14345727,20028737,20029057,14346001,255322487,26913533,34994979,26913777,26913467,20029297,268046257,6474401,6474399,9856410,14346193,20029289,26913185,20028775,14345774,9856112,6474187,4057159,4057157,6474181,9856101,14345759,14346227,9856803,6474659,6474660,9856808,9856341,9856256,6474470,4057316,2428539,1404854,799499,799498,1404851,1404842,1404840,2428509,4057272,6474393,6474347,4057248,4057247,6474316,4057231,2428488,1404823,799488,799489,1404829,2428495,4057243,6474336,6474573,6474574,9856683,14346509,14346655,14346656,14346659,11397504,7573015,4789490,4789486,7573010,6474483,6474484,9856550,14346367,255322571,14346685,20029747,20029745,14346671,14346670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3528820, s2 = 7996214, dlinesl.size( ) = 8 s1 = 14164462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164462, s2 = 9138545, int(edited[s2]) = 0 s1 = 14164462, s2 = 9138545, d1 = 4, d2 = 7 Dl.O(d1) = 48307817,59694758,59694774,59694775,60640033,49239432,49239431,59694743,51800872,41522921,37519186,28975430,28975429,37519184,47427031,58814109,60772015,49369587,39441180,39441182,49369591,60772019,61280877,49802622,39783430,39783431,49802624,53541453,53541454,60772041,60772040,255539868,101138119,115215127,129145704,259178836,81545600,68058841,68058840,81545598,95576061,109776151,123913015,137593912,261567936,173707491,170011954,158653486,146285141,260030504,258788768,257556264,63866093,258165126,105034689,119227303,126173821,112313093,98330013,84420670,70863410,70863411,60722100,49319782,39391689,268974329,44516302,44516301,39391760,39391759,39391732,30789242,30789243,30789330,23363720,23363719,30789397,33490516,30789374,268837850,8064591,5157998,3141512,1837250,1837249,3141510,5157991,8064579,12007786,17094617,22656630,255148844,11471095,16463583,22656638,30030900,38604563,42378347,52777255,52664922,47279414,37369821,28829701,28829700,37369817,42378350,37830770,29265059,21943340,268396071,33882118,42928280,256582489,24605763,18157131,18157132,24605765,23653309,23653308,256505409,47753381,37830936,29265183,29265182,37830932,47753380,48519555,38604535,38604534,48519554,48519565,48519566,59913023,59965020,48572981,38657094,38657095,48572984,59912992,53393404,42927356,33881372,26057638,26057637,33881367,42927350,53393395,65396582,78700665,72653656,65396605,53393410,42927361,33881376,33881375,41357009,41357008,256896250,50364170,61848591,53394481,53394482,42928334,42928335,53394484,65397706,53394486,42928336,42928337,53394488,65397712,78701905,92765317,103811418,103811402,103811401,117958978,131788427,131788424,117958975,103811396,89705677,75927063,62946642,62946641,62946666,62946665,75927094,89705719,89705684,75927068,75927067,89705682,77881092,77881093,71787407,59045706,47644122,37722070,37722069,47644120,59045705,59045709,64691285,77881102,91803680,77881091,64691274,256364716,53516061,43037870,33980589,26141117,26141118,33980593,43037875,268665867,30895016,39502414,49433620,42277550,36457394,36457395,46310173,48570232,48570233,59962507,52777247,52777248,52664800,42277433,42277432,39273698,30677202,23261000,16997976,11912185,11912184,16493901,16493902,22696427,22696422,22696423,30077436,28829688,21558717,21558718,28829690,32401948,24778182,24778183,32401950,41225981,48519560,59913019,256679262,38604564,38604563,42378347,52777255,52664922,47279414,37369821,28829701,28829700,37369817,42378350,37830770,29265059,21943340,268396071,33882118,38659723,38275345,38275347,48184773,59570808,52664752,42277386,42277387,268769743,33882112,256345034,43869007,34598694,34598695,30072413,22692499,22692498,30072412,38648260,255419034,33296243,25534611,18923353,18923354,18923351,13490476,13490475,18923349,25534603,33296232,26243358,26243357,26058161,19376503,19376502,256687845,47753181,47753180,48519579,48184818,38275388,29708660,255467219,11262905,7476958,7476957,11262901,16202133,22353396,23961711,23961710,29708654,38275376,48184804,53394423,52664745,52664746,269495818,50494243,50160436,42378345,257214303,256907213,37783206,47703964,59102050,47703924,37783169,29221483,21906200,21906201,29221486,37783172,37855911,29287544,21961579,21961580,29287547,37855915,47779422,50160476,40137442,31455914,23961705,17612893,12432000,8402170,8402171,255182005,23961718,31455926,40137459,50160491,61644227 Dl.O(d2) = 50337764,44339403,34962695,26884648,20004843,14326815,14326816,20004845,26884652,34962700,44339412,55189252,50337741,50337740,50337753,61644197,52664776,42277410,42277411,52664777,59102023,47703903,47703904,55669726,47703900,37783150,37783151,39133992,30535255,30535254,39133989,49064106,53309701,65309122,59570819,50337748,50337749,61820933,65193460,65193462,71889435,59151749,256138438,37830754,47753174,59151745,71889429,71889455,258427014,63519998,63519997,59151771,47753204,47753203,53207995,42758455,33728762,25921950,19260077,13764346,13764345,19260074,25921947,256678611,53207993,59828013,48441837,38533396,29967501,29967500,38533394,29967502,22602497,16419300,11435300,7603290,254786271,16419297,22602491,256420391,48441827,53020155,42579978,33563283,33563285,42579981,42582188,40735580,40735581,47206365,42740674,42740675,42512235,42394844,42394843,33562639,25773261,19133154,19133153,25773259,33562636,34585219,26598115,19792082,14176766,14173044,9743564,9743566,9745812,14176392,19788131,19788128,20280540,14551618,10012826,10012827,14551620,20280542,19802695,14593705,14593701,20334741,255883568,21545645,21545644,28813778,22824336,16603683,11579926,7707744,4878041,254244301,1704402,2939243,4878037,7707737,255049789,254508401,2712412,1571262,893350,893352,1571270,2712426,4514138,7167226,10841645,15661065,10841503,7167135,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,15660085,15660849,10841379,7167065,4514047,2712381,1571243,893337,893339,1571246,254339517,7167081,10841411,15660914,21701329,28982584,21701895,15661366,10841707,10841704,15661357,21700101,15660018,10840838,7166713,4513841,2712284,2712285,4513844,7166720,10840847,12558955,17749815,21699855,21699854,28982225,37526141,47433807,46512045,36644468,36644469,46512047,37526697,28982754,28982753,37526469,39296099,38468754,255965731,16902193,11828376,255135429,23164751,28494968,28494967,36992421,268654344,58820635,47434076,37526453,37526452,47433884,37526240,28982319,21699934,21699935,23758794,31242978,37526732,29792962,23758787,17431508,12286247,8297261,8297262,255169371,23758799,31242990,39918533,39918517,39918518,48255146,59641743,61414584,49936489,269391064,43930967,54673299,61414469,61414608,61414588,49936491,39918591,31243033,26666067,19850645,19850644,26666065,34657868,43930971,49936513,59525903,49881464,269372260,54673320,43930990,43930988,38365730,38365729,48277305,43123410,34047888,34047886,43123405,53624223,65672201,79023666,80356092,258243368,43931015,34657892,26666085,268251316,9777007,6428452,6428451,9777005,14221637,19850649,26666073,34657870,43930975,54673306,61241294,74021815,74021813,61414569,61414570,74021810,72388280,61414393,58822958,47436387,37528652,28984412,21701594,21701595,28984414,25151068,256107949,37528656,37528655,47436390,58822961,259330135,113035203,126888256,119273917,105081011,90901253,77021688,63910428,52091872,41778627,256107959,18594164,13213599,9007203,5879769,5879770,9007205,9007201,255245413,13213590,18594148,25151067,32858025,41778584,52091839,63910399,63910398,256540832,88174192,268445810,61775684,50296119,40275331,31590082,31590081,40275329,50296116,61775679,74559247,88174183,102165027,116226029,130136534,143467336,156006238,167615676,167615678,156006240,156006241,167615679,162107465,261072456,108656800,94369048,80312812,66883750,54626238,43883830,34612562,256360685,15786502,10936576,10936575,15786499,21858657,29167869,37727885,47649663,59050824,52465047,42112478,268491483,18825698,268491485,42112480,46342285,57690076,65751985,60625291,60625292,267948028,24214964,24214963,30069958,23283650,17024337,17024338,23283651,30699298,39296943,49224033,49224034,60625288,73370990,260072417,128928464,140154783,260155548,258916484,112950567,98961505,85036614,71464722,58735091,47347316,254875852,21625065,15594332,10787867,7127619,4487343,4487342,7127616,10785116,7659802,7659801,254082354,4854710,7672469,11532932,254145942,30145879,30145878,30145879,254439818,60045192,72783966,86379976,100337083,114361580,128238563,141588851,141644339,154298227,154245425,154245426,141644338,128294630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164462, s2 = 9138545, dlinesl.size( ) = 2 s1 = 14164462, s2 = 9138545, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164462, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 10142447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10142447, s2 = 5265219, int(edited[s2]) = 0 s1 = 10142447, s2 = 5265219, d1 = 41, d2 = 35 Dl.O(d1) = 254881566,9030543,13240825,18625182,25185386,32895034,41818117 Dl.O(d2) = 231140041,229694468,228065510,226209182,224077024,221618491,218755588,215364948,215364947,218755586,221618488,224077021,226209178,228065508,265972683,232436064,233607908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10142447, s2 = 5265219, dlinesl.size( ) = 2 s1 = 10142447, s2 = 5265219, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10142447, Dl.E( ) = 42, 1.31e-05 seconds used appending s1 = 13170085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14290381, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6425474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7955450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 994009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 729833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 729916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9381620, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9076121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8246134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8246134, s2 = 6749944, int(edited[s2]) = 0 s1 = 8246134, s2 = 6749944, d1 = 49, d2 = 50 Dl.O(d1) = 91167117,77248617,64102021,268640934,32975328,25252581,23694097,23694100,31183967,34972045,255729172,22317760,16172503,11239795,7459989,7459988 Dl.O(d2) = 98830549,98830548,259315748,126678539,126678540,140031542,259865218,98832472,98832473,84906791,258064419,258064336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8246134, s2 = 6749944, dlinesl.size( ) = 2 s1 = 8246134, s2 = 6749944, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8246134, Dl.E( ) = 52, 1.5e-05 seconds used appending s1 = 6798050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6798050, s2 = 11207358, int(edited[s2]) = 0 s1 = 6798050, s2 = 11207358, d1 = 86, d2 = 67 Dl.O(d1) = 258637164,18681839,18681840,15053841,10379696,10379697,15053842,255797079 Dl.O(d2) = 66011396,79379471,93515841,107952887,122378871,107952888,107952886,107952885,122378868,107952889,93515842,79379474,257866481,43414529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6798050, s2 = 11207358, dlinesl.size( ) = 8 s1 = 995645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346078, s2 = 4811786, int(edited[s2]) = 0 s1 = 10346078, s2 = 4811786, d1 = 19, d2 = 11 Dl.O(d1) = 257181154,32984999,255994122,268021687,18690053,25261542,269493379 Dl.O(d2) = 197217609,264045597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346078, s2 = 4811786, dlinesl.size( ) = 2 s1 = 10346078, s2 = 4811786, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10346078, Dl.E( ) = 20, 5.01e-06 seconds used appending s1 = 14163276, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1526039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8017578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8017578, s2 = 8709177, int(edited[s2]) = 0 s1 = 8017578, s2 = 8709177, d1 = 21, d2 = 36 Dl.O(d1) = 268654991,4979121,3007701,2569447,1479325 Dl.O(d2) = 195081107,195081098,186997967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321581, s2 = 13137487, int(edited[s2]) = 0 s1 = 13321581, s2 = 13137487, d1 = 116, d2 = 124 Dl.O(d1) = 14964624,13322894,13322893,18716064 Dl.O(d2) = 235195711,234176328,234176329,266157744,230436131,265770728,225103669,222780915,222780916,264839466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321581, s2 = 13137487, dlinesl.size( ) = 20 s1 = 998425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1880034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1880034, s2 = 14162669, int(edited[s2]) = 0 s1 = 1880034, s2 = 14162669, d1 = 1, d2 = 1 Dl.O(d1) = 35227441,41486574,41486573,47514070,48502783,44624927,35241515,35241514,35241575,35241574,44625006,35241663,27144716,27144713,35241655,31810786,31810788,40506336,50541660,59223375,55456802,44608275,35227376,35227369,35227370,35227342,35227341,44608246,51756763,41486505,41486504,51756757,55264541,44416951,35241507,35241505,44624911,44624950,44417951,44417952,257907145,73491575,73491574,76615660,63535550,63535553,72640142,67612343,55271509,55271512,67612348,55475116,55475114,60742527,49339338,49339336,46656833,46656832,48861133,48861136,51756813,41486536,32607535,256607033,51756804,47438566,47438567,58825266,60254142,48861371,38941797,30355555,30355556,38941804,48861382,60254154,58029131,46656770,46656769,44424297,35049544,35049538,35049537,44424285,38941753,30355530,22953704,22953703,30355523,28276259,21072434,21072433,28276256,36771825,46656797,257069144,44421639,44421640,35047093,35047092,256967940,26963723,20079397,20079399,14396910,9902797,9902796,14396903,20079646,26963336,26963338,35043562,35045386,35043587,26968401,26963940,20079586,20079587,20079670,20079669,20079074,20079075,20081565,26963493,20079198,18576492,14396682,9902650,9902648,14396672,254974899,6509232,4079039,2440649,2440650,1411147,1411148,1411089,1411090,2440552,4078852,6508707,4078742,4078740,6508703,9902509,14396453,20079126,21958272,20080487,14397458,14397459,14399275,9904286,6509720,4079275,2440768,2440769,4079281,6509736,9902492,14396424,14398378,9903756,254974935,20081703,26966568,29936442,255058792,21994227,21994228,22097262,15988596,15988595,19433178,26127939,30462603,30462602,39052119,48405026,58143475,60108999,48713925,48713926,59503496,48115730,48115731,52311368,52311367,52311370,42477294,33483628,25709979,19082845,13624252,9542822,9542821,13331413,13331487,13331488,18726982,25301652,33027756,41970717,33027572,33027573,25301683,18727010,18727009,256115843,41970786,33027657,33027658,41970787,255146284,33027490,33027526,268427092,18726908,18726907,25301539,25301391,18726779,18726780,25301393,18726792,13331336,9108890,9108891,13331337,13331392,18726781,13331327,9108886,5960126,5960125,254914613,13331463,14561660,13331314,13331315,18726764,14561205,14561206,20292015,27220558,25301370,19352647,18726774,18726776,21623872,28899053,30843929,30843930,39448282,44769561,35344114,35344113,35384803,39516090,49447924,59989754,72727182,62069911,52311536,52311535,64163098,77311179,84009757,70476158,57776410,57776411,49792591,49792592,268601556,73501851,60752901,49350011,39420433,39420434,49350013,60752903,64163094,258038754,49350052,60752950,73501895,256667220,50407580,61898142,74691887,70476234,57776489,57776490,70476236,63337475,51613296,256102334,62070084,62069793,62069792,52311347,49725274,49725273,44606318,44606317,48374276,38472659,38472658,46461432,42801977,33770227,33770228,42801979,53254640,65244247,60848289,57776414,46422211,36558780,28089360,20915719,18391259,13063350,8901694,8901695,13063352,18391261,24891483,20944666,20944667,17113719,254826305,8085356,12026379,12026516,12026517,17113941,21536236,15521161,10734502,10734501,15521160,21536235,28802750,28873234,21597807,21597806,27031994,20139296,20139297,27031995,28089529,36558962,46422389,57776579,48176545,38266934,38266935,48176547,46763746,36885332,36885331,46763744,39420439,30815242,30815241,268975103,49348350,60751166,62069997,258133643,59563222,50577798,40541694,40541541,31843587,31843461,24323844,24323845,31843462,256559463,31843576,40541679,40541553,40541554,40541544,31843464,31843463,40541543,48115469,50577652,40541545,38204794,29638175,29638174,38204792,257518937,59503371,48115771,38205002,38205004,48115774,38204961,29638318,29638317,38204959,48115772,48115581,48115580,48115408,38204746,33027608,25301518,25301517,31182729,39865133,49887302,61367860,59503304,48115509,38204911,38204912,38204929,38204589,29638015,22286288,22286287,29638014,22286390,22286391,29638157,38204773,48115585,48115515,38204695,29638087,23692856,17370168,12237838,8263534,254398495,254398493,8263532,12237834,17370159,23692844,23692833,17370153,17370152,256003977,39865104,49887280,50559638,42761547,42062463,42062464,52406157,49790614,39770862,31092646,23609072,23609073,31092648,39770866,49790622,61269530,62052037,50559599,50559600,268645196,61269509,74049315,65330814,62052057,50559616,43353108,34253076,34253077,43353111,53878141,65945621,59613108,48227084,38317570,38317571,47947460,47947461,59338988,59613090,268748668,38317551,34253105,34253106,34253049,34253050,36637543,36637544,36637545,38317588,38033769,34683976,26689762,26689764,33151324,25410717,25410718,33151325,25959859,25959858,32458809,24821171,24821170,32458807,41301502,43894647,40385265,31691766,24183280,17814916,17814915,24183278,31691762,40385262,50419804,53679998,43169777,34086373,26225317,19510500,13965502,13965501,9685820,9685821,268032653,6201234,9457808,13792775,14045036,14045037,19601359,25956177,33764729,34093982,26236246,26236247,33805228,42796274,269133915,34089131,26227888,19512653,19512652,19512651,19512650,13967170,9590539,9590538,13967168,19291864,13792776,254634254,18645201,18645202,25209627,32924657,41854303,41625363,32719275,32719276,32719277,25032688,18499779,254904331,8958082,13143475,18499778,25032686,268481387,18499783,13143478,8958084,5847147,3648943,2181351,2181352,3648947,5847157,5847117,5847118,8958033,11495896,7646274,7646275,11495899,16499097,16507503,15510868,11497442,7647501,7647500,7653593,11505508,10726586,10726585,15510024,21521902,28785804,21522628,15510704,10727070,10727069,15510699,18499774,25032682,256613601,51928165,63737520,76841088,90711500,104881322,103818646,89712725,75933524,62952739,51278335,41100002,32290732,24680705,18214967,12919414,8788482,8788481,12919413,18214966,18214964,18214965,268467461,41100001,51278333,62952738,75933523,89712723,103818645,117966022,131794636,261912575,168955825,179245514,188300059,196186014,202933433,203830658,197270880,262667004,170552554 Dl.O(d2) = 35227441,41486574,41486573,47514070,48502783,44624927,35241515,35241514,35241575,35241574,44625006,35241663,27144716,27144713,35241655,31810786,31810788,40506336,50541660,59223375,55456802,44608275,35227376,35227369,35227370,35227342,35227341,44608246,51756763,41486505,41486504,51756757,55264541,44416951,35241507,35241505,44624911,44624950,44417951,44417952,257907145,73491575,73491574,76615660,63535550,63535553,72640142,67612343,55271509,55271512,67612348,55475116,55475114,60742527,49339338,49339336,46656833,46656832,48861133,48861136,51756813,41486536,32607535,256607033,51756804,47438566,47438567,58825266,60254142,48861371,38941797,30355555,30355556,38941804,48861382,60254154,58029131,46656770,46656769,44424297,35049544,35049538,35049537,44424285,38941753,30355530,22953704,22953703,30355523,28276259,21072434,21072433,28276256,36771825,46656797,257069144,44421639,44421640,35047093,35047092,256967940,26963723,20079397,20079399,14396910,9902797,9902796,14396903,20079646,26963336,26963338,35043562,35045386,35043587,26968401,26963940,20079586,20079587,20079670,20079669,20079074,20079075,20081565,26963493,20079198,18576492,14396682,9902650,9902648,14396672,254974899,6509232,4079039,2440649,2440650,1411147,1411148,1411089,1411090,2440552,4078852,6508707,4078742,4078740,6508703,9902509,14396453,20079126,21958272,20080487,14397458,14397459,14399275,9904286,6509720,4079275,2440768,2440769,4079281,6509736,9902492,14396424,14398378,9903756,254974935,20081703,26966568,29936442,255058792,21994227,21994228,22097262,15988596,15988595,19433178,26127939,30462603,30462602,39052119,48405026,58143475,60108999,48713925,48713926,59503496,48115730,48115731,52311368,52311367,52311370,42477294,33483628,25709979,19082845,13624252,9542822,9542821,13331413,13331487,13331488,18726982,25301652,33027756,41970717,33027572,33027573,25301683,18727010,18727009,256115843,41970786,33027657,33027658,41970787,255146284,33027490,33027526,268427092,18726908,18726907,25301539,25301391,18726779,18726780,25301393,18726792,13331336,9108890,9108891,13331337,13331392,18726781,13331327,9108886,5960126,5960125,254914613,13331463,14561660,13331314,13331315,18726764,14561205,14561206,20292015,27220558,25301370,19352647,18726774,18726776,21623872,28899053,30843929,30843930,39448282,44769561,35344114,35344113,35384803,39516090,49447924,59989754,72727182,62069911,52311536,52311535,64163098,77311179,84009757,70476158,57776410,57776411,49792591,49792592,268601556,73501851,60752901,49350011,39420433,39420434,49350013,60752903,64163094,258038754,49350052,60752950,73501895,256667220,50407580,61898142,74691887,70476234,57776489,57776490,70476236,63337475,51613296,256102334,62070084,62069793,62069792,52311347,49725274,49725273,44606318,44606317,48374276,38472659,38472658,46461432,42801977,33770227,33770228,42801979,53254640,65244247,60848289,57776414,46422211,36558780,28089360,20915719,18391259,13063350,8901694,8901695,13063352,18391261,24891483,20944666,20944667,17113719,254826305,8085356,12026379,12026516,12026517,17113941,21536236,15521161,10734502,10734501,15521160,21536235,28802750,28873234,21597807,21597806,27031994,20139296,20139297,27031995,28089529,36558962,46422389,57776579,48176545,38266934,38266935,48176547,46763746,36885332,36885331,46763744,39420439,30815242,30815241,268975103,49348350,60751166,62069997,258133643,59563222,50577798,40541694,40541541,31843587,31843461,24323844,24323845,31843462,256559463,31843576,40541679,40541553,40541554,40541544,31843464,31843463,40541543,48115469,50577652,40541545,38204794,29638175,29638174,38204792,257518937,59503371,48115771,38205002,38205004,48115774,38204961,29638318,29638317,38204959,48115772,48115581,48115580,48115408,38204746,33027608,25301518,25301517,31182729,39865133,49887302,61367860,59503304,48115509,38204911,38204912,38204929,38204589,29638015,22286288,22286287,29638014,22286390,22286391,29638157,38204773,48115585,48115515,38204695,29638087,23692856,17370168,12237838,8263534,254398495,254398493,8263532,12237834,17370159,23692844,23692833,17370153,17370152,256003977,39865104,49887280,50559638,42761547,42062463,42062464,52406157,49790614,39770862,31092646,23609072,23609073,31092648,39770866,49790622,61269530,62052037,50559599,50559600,268645196,61269509,74049315,65330814,62052057,50559616,43353108,34253076,34253077,43353111,53878141,65945621,59613108,48227084,38317570,38317571,47947460,47947461,59338988,59613090,268748668,38317551,34253105,34253106,34253049,34253050,36637543,36637544,36637545,38317588,38033769,34683976,26689762,26689764,33151324,25410717,25410718,33151325,25959859,25959858,32458809,24821171,24821170,32458807,41301502,43894647,40385265,31691766,24183280,17814916,17814915,24183278,31691762,40385262,50419804,53679998,43169777,34086373,26225317,19510500,13965502,13965501,9685820,9685821,268032653,6201234,9457808,13792775,14045036,14045037,19601359,25956177,33764729,34093982,26236246,26236247,33805228,42796274,269133915,34089131,26227888,19512653,19512652,19512651,19512650,13967170,9590539,9590538,13967168,19291864,13792776,254634254,18645201,18645202,25209627,32924657,41854303,41625363,32719275,32719276,32719277,25032688,18499779,254904331,8958082,13143475,18499778,25032686,268481387,18499783,13143478,8958084,5847147,3648943,2181351,2181352,3648947,5847157,5847117,5847118,8958033,11495896,7646274,7646275,11495899,16499097,16507503,15510868,11497442,7647501,7647500,7653593,11505508,10726586,10726585,15510024,21521902,28785804,21522628,15510704,10727070,10727069,15510699,18499774,25032682,256613601,51928165,63737520,76841088,90711500,104881322,103818646,89712725,75933524,62952739,51278335,41100002,32290732,24680705,18214967,12919414,8788482,8788481,12919413,18214966,18214964,18214965,268467461,41100001,51278333,62952738,75933523,89712723,103818645,117966022,131794636,261912575,168955825,179245514,188300059,196186014,202933433,203830658,197270880,262667004,170552554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1880034, s2 = 14162669, dlinesl.size( ) = 2 s1 = 1880034, s2 = 14162669, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1880034, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 7599704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7599704, s2 = 10350544, int(edited[s2]) = 0 s1 = 7599704, s2 = 10350544, d1 = 19, d2 = 19 Dl.O(d1) = 268943349,18735976,13337900,13337899,10526260,6942280,4363003,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,4363359,2614872,2614873,4363363,6942965,254853238,21228867,254271278,8971974,8971970,8112611,5197448,3171046,3171049,4373583,2619961,2619958,4373573,6956995,4372665,4372666,6959522,10552196,11914948,12384635,15258042,10526766,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269516,3788124,6053554,9242876,13508618,13515787,9248440,9248439,13515785,10976964,7265501,7265500,10976933,10976932,15840379,17618617,12436648,8405358,8405359,12436651,17566320,16177531,16177530,18968123,254928105,268027311,255167186,255167184,12386147,8369827,5401741,5401742,8369828,12386150,17556780,23901351,23899349,17554301,17554302,256020411,23716034,17392215,12256361,8277432,5340753,3282700,3282699,5340748,8277422,8368191,8368193,9236430,13500166,13500150,9236420,6049377,6049378,9236423,255178299,8367130,8367128,10982422,10982420,15847183,21934811,17161518,17161519,22878795,16650380,16650379,22878793,18938719,17394469,12258094,12258093,17394467,23718209,20143784,14449436,9940757,9940756,10556870,8581583,5575927,3459238,2051103,2051102,3459236,5575918,8581568,12639226,17847970,17538374,17471910,17471911,20897654,20897655,18948816,16096303,16096302,16833044,11771450,8280236,5342363,5342362,8280233,5342389,3283597,1931161,1103238,1103239,1931165,3283606,5342409,255167183,268437875,257194758,46618446,37403056,31916311,24383914,17984415,12745952,12745953,17984420,24383923,25531744,18921092,18921094,25531748,31815597,31815596,40511828,39207331,30611178,30611177,26293867,19571933,19571932,26293864,34161511,257856317,259103331,271523606,90857763,268289596,25526719,33287021,42267013,52652882,58349193,258047607,260538175 Dl.O(d2) = 268943349,18735976,13337900,13337899,10526260,6942280,4363003,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,4363359,2614872,2614873,4363363,6942965,254853238,21228867,254271278,8971974,8971970,8112611,5197448,3171046,3171049,4373583,2619961,2619958,4373573,6956995,4372665,4372666,6959522,10552196,11914948,12384635,15258042,10526766,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269516,3788124,6053554,9242876,13508618,13515787,9248440,9248439,13515785,10976964,7265501,7265500,10976933,10976932,15840379,17618617,12436648,8405358,8405359,12436651,17566320,16177531,16177530,18968123,254928105,268027311,255167186,255167184,12386147,8369827,5401741,5401742,8369828,12386150,17556780,23901351,23899349,17554301,17554302,256020411,23716034,17392215,12256361,8277432,5340753,3282700,3282699,5340748,8277422,8368191,8368193,9236430,13500166,13500150,9236420,6049377,6049378,9236423,255178299,8367130,8367128,10982422,10982420,15847183,21934811,17161518,17161519,22878795,16650380,16650379,22878793,18938719,17394469,12258094,12258093,17394467,23718209,20143784,14449436,9940757,9940756,10556870,8581583,5575927,3459238,2051103,2051102,3459236,5575918,8581568,12639226,17847970,17538374,17471910,17471911,20897654,20897655,18948816,16096303,16096302,16833044,11771450,8280236,5342363,5342362,8280233,5342389,3283597,1931161,1103238,1103239,1931165,3283606,5342409,255167183,268437875,257194758,46618446,37403056,31916311,24383914,17984415,12745952,12745953,17984420,24383923,25531744,18921092,18921094,25531748,31815597,31815596,40511828,39207331,30611178,30611177,26293867,19571933,19571932,26293864,34161511,257856317,259103331,271523606,90857763,268289596,25526719,33287021,42267013,52652882,58349193,258047607,260538175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7599704, s2 = 10350544, dlinesl.size( ) = 2 s1 = 7599704, s2 = 10350544, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7599704, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 13234987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13234987, s2 = 11069478, int(edited[s2]) = 0 s1 = 13234987, s2 = 11069478, d1 = 164, d2 = 37 Dl.O(d1) = 30283577,22885797,16657068,11624674,11624675,16657070,22885804,30283583,32998565,28028204,28028203,30109881,22729168,16523793,16523792,22729163,25325701,18746705,18746704,25233474,18664617,18664616,18663314,13271538,13271536,18663307,19613195,14255961,14255960,19899039,14254844,9797895,6440676,6440675,9797888,10045799,6601554,6601550,10045794,14599491,13173532,13173529,15593932,15593931,19133092,19133091,14946383,14946385,13814491,9473981,6212019,6212018,9473979,13814489,19319437,25990313,20810818,20810817,27974396,25313758,22276971,16134019,11207709,7436537,4699051,2831113,2831114,4699054,7436543,11207722,14902302,10246305,6732267,4217918,2521817,1453257,822846,822845,1453255,2521812,4217909,6732250,10246272,14902265,254485060,25768240,19128482,19128483,19128486,13657901,13657902,19128488,25768247,33557548,35035340,26955414,26955415,26958916,20075180,14392671,10890017,10890016,9870415,254468941,4063045,6484015,9870410,14363821,20049635,20050057,14364393,254686199,4063341,4063342,6484490,7715548,4883428,4883427,7715545,11590717,254685657,4060250,2430116,1405697,1405698,2430120,4060258,6479358,267870829,2432376,2432375,4064552,2942171,2942168,4882700,4075841,4075840,6504265,6504264,9897049,9897187,9878204,9869596,6483418,4062658,2431389,2431387,2438036,1409689,801932,801933,254214403,4074666,4068006,2434216,2434219,2434126,2434125,4067852,6492070,9881397,6548724,6548722,7220780,4549487,4549488,7220782,10918234,15765020,21833787,256358481,47625385,59028080,71770789,85360586,99305554,113309172,127168957,133554775,119679418,105440533,91217927 Dl.O(d2) = 65474036,65474037,257796138,258475502,34184219,255713773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13234987, s2 = 11069478, dlinesl.size( ) = 2 s1 = 13234987, s2 = 11069478, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13234987, Dl.E( ) = 166, 4.79e-05 seconds used appending s1 = 592215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6532692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6532692, s2 = 6559415, int(edited[s2]) = 0 s1 = 6532692, s2 = 6559415, d1 = 39, d2 = 41 Dl.O(d1) = 255655794,18749751,18749795,13348805,13348804,13893130,13892376 Dl.O(d2) = 255960161,11772830,7860004,267835281,1750226,1750227,3013174,4988606,7860013,11772841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6532692, s2 = 6559415, dlinesl.size( ) = 2 s1 = 6532692, s2 = 6559415, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6532692, Dl.E( ) = 54, 1.41e-05 seconds used appending s1 = 7929324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7929324, s2 = 8001484, int(edited[s2]) = 0 s1 = 7929324, s2 = 8001484, d1 = 1, d2 = 1 Dl.O(d1) = 268925898,19423148,13896738,9536170,6255912,3916250,2344190,2344189,3916243,6255895,6077940,3802980,3802982,6077946,9278903,6805783,4268359,254484945,8395838,5668689,3526291,2098763,1208376,681413,681412,1208371,2098753,3526267,5668636,8707439,12806160,9393353,9393355,8966223,5853218,3653710,3653712,5853222,8966229,13154547,18514370,15346018,10602020,6994968,4395996,4395800,4395799,6994630,7054671,7054672,10679804,255404411,19813810,21343732,20137044,19277309,19277310,14421571,9920055,9920054,6994294,4395574,4395571,6994287,7008310,4405589,2640912,2640913,4405593,7008314,10601856,10601854,9122839,5969554,5310958,5310957,8238592,12206886,17331982,15347641,10601802,9123159,9123158,12850840,8738846,8738844,12850836,12710914,12710915,13353980,9126028,9126027,13353977,17938098,254459674,20138235,20138234,20244685,25331719,18752080,17946605,12716978,12716979,17946607,13349876,255283631,9384816,6148231,6148229,6148230,9027168,9027167,6415201,6415202,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423891,4433537,4433536,7044705,10666683,15429547,12954929,254630255,3576069,2131356,1229961,696160,390343,216571,216573,390296,390101,390103,695702,1229072,2129624,3572787,5737662,8805857,5736214,5736213,8805856,12943216,13477747,13477746,18909408,25519076,33279299,39102490,30506025,255515443,11774044,11774045,7860784,4989112,4989113,7860785,11774058,16836875,268113445,8396259,8396260,8396283,12423079,8396273,5418124,5418125,8396275,12423080,17600401,23945509,31436416,40114895,50134730,61615273,50134700,50134699,50134728,50134727,61615298,74392766,77495152,64330687,64330686,64330685,77495150,80331310,94385553,108672120,116103265,102045875,88060666,88060663,85935770,72342030,72342031,74392792,74392793,87996707,101971386,116017967,129917709,140128971,126778535,259940663,258695017,58703743,47314471,37405774,28864579,21590190,15564118,10765246,10765247,15564122,21590196,28864587,37405782,47314476,58703750,258695019,260541505,140128975,152823403,164660061,175418547,273532741,206493750,264735145,218944626,221791780 Dl.O(d2) = 268925898,19423148,13896738,9536170,6255912,3916250,2344190,2344189,3916243,6255895,6077940,3802980,3802982,6077946,9278903,6805783,4268359,254484945,8395838,5668689,3526291,2098763,1208376,681413,681412,1208371,2098753,3526267,5668636,8707439,12806160,9393353,9393355,8966223,5853218,3653710,3653712,5853222,8966229,13154547,18514370,15346018,10602020,6994968,4395996,4395800,4395799,6994630,7054671,7054672,10679804,255404411,19813810,21343732,20137044,19277309,19277310,14421571,9920055,9920054,6994294,4395574,4395571,6994287,7008310,4405589,2640912,2640913,4405593,7008314,10601856,10601854,9122839,5969554,5310958,5310957,8238592,12206886,17331982,15347641,10601802,9123159,9123158,12850840,8738846,8738844,12850836,12710914,12710915,13353980,9126028,9126027,13353977,17938098,254459674,20138235,20138234,20244685,25331719,18752080,17946605,12716978,12716979,17946607,13349876,255283631,9384816,6148231,6148229,6148230,9027168,9027167,6415201,6415202,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423891,4433537,4433536,7044705,10666683,15429547,12954929,254630255,3576069,2131356,1229961,696160,390343,216571,216573,390296,390101,390103,695702,1229072,2129624,3572787,5737662,8805857,5736214,5736213,8805856,12943216,13477747,13477746,18909408,25519076,33279299,39102490,30506025,255515443,11774044,11774045,7860784,4989112,4989113,7860785,11774058,16836875,268113445,8396259,8396260,8396283,12423079,8396273,5418124,5418125,8396275,12423080,17600401,23945509,31436416,40114895,50134730,61615273,50134700,50134699,50134728,50134727,61615298,74392766,77495152,64330687,64330686,64330685,77495150,80331310,94385553,108672120,116103265,102045875,88060666,88060663,85935770,72342030,72342031,74392792,74392793,87996707,101971386,116017967,129917709,140128971,126778535,259940663,258695017,58703743,47314471,37405774,28864579,21590190,15564118,10765246,10765247,15564122,21590196,28864587,37405782,47314476,58703750,258695019,260541505,140128975,152823403,164660061,175418547,273532741,206493750,264735145,218944626,221791780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7929324, s2 = 8001484, dlinesl.size( ) = 2 s1 = 7929324, s2 = 8001484, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7929324, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9731823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9070523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15156979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15156979, s2 = 1002002, int(edited[s2]) = 0 s1 = 15156979, s2 = 1002002, d1 = 8, d2 = 12 Dl.O(d1) = 255487367,28363991,21148137,21148136,21161580,21161579,28379017,36875758,36880243,36875746,28378992,21161551,21161552,28378994,28383777,21165923,21165922,28378997,21161554,21161553,28378995,31025509,23544433,17236367,17236368,268433647,22075352,15969791,15208973,10491256,10491257,15208980,21165924,28383778,22075646,17145242,12049552,10491217,6918037,6918035,4346002,4346003,6918049,10491238,11085210,7351033,7350814,6915805,4343913,2600945,2600946,4343918,6915821,4344775,4344774,6916728,6915295,6915296,6916261,6916264,10487618,6914911,4343209,2600487,2600486,4343205,6914903,255383735,17145596,21162874,15206389,15204366,10487238,6914571,4342928,4342927,6914568,4342931,4342930,6914575,267972609,7350016,6915649,4343770,4343771,6915655,4344713,4344714,6915203,10488045,10488046,6916627,6916629,10489669,7350644,4643024,4643025,4343038,4343035,6914722,10487424,6916183,6916184,10489164,13349700,9121961,9121959,13349695,10488901,6915952,5189701,4344238,2601207,1500757,1500758,1853657,1853656,3166406,5189708,7350646,4643026,2796720,1622296,922531,922530,850550,480393,270396,149901,149900,270394,480384,850541,850509,850507,1500636,1500624,1500606,1058422,850470,480353,270379,149894,149891,270366,480328,850426,1500502,2600364,1500240,850289,850288,1500238,2600362,2600850,2600851,3167387,3167388,5191008,8102095,10490069,10490068,6917482,6917484,7349871,6916968,4344920,267785773,850775,480501,480500,850307,480242,270320,149873,82460,82461,149878,270330,480263,480705,270553,270554,480709,851107,851117,851235,480781,254119341,1501783,254222695,1501400,1058598,1058597,1854676,2602180,1501461,851011,851012,254222705,4343861,2600908,1500555,1500554,2600902,2602412,2600481,2600480,2795659,1854767,1058668,595328,331941,331942,595330,1058670,1854778,1854353,1058354,595122,331807,331808,595126,1058365,1854333,1854330,3167402,3477290,2065829,1185730,1185729,1057913,1057914,1853620,3166363,4706845,2835600,2835599,4707076,7365891,4653311,4643142,2796818,1622367,1622368,2796824,4643152,7350775,8617706,5602254,3478011,3478010,4651763,2803309,2803310,2835541,2835539,4706983,3479334,2802110,2802109,1626102,924647,924648,1626107,2063888,2063889,3478005,2803279,1645033,935415,935416,1645014,1645013,2063163,1184089,1184090,2063166,1185022,665648,665649,1185025,2064648,254422063,3477560,3477567,3478203,5602470,5609885,5603111,3478697,2064388,1184854,665544,369148,369149,665548,1184863,2064399,3478699,5603115,5609826,3484161,2068760,254422979,8627411,254877883,3478252,2064075,1184636,1184635,666948,369998,202597,202596,369997,666946,1187173,2068038,2066214,1187635,1187634,1185998,666209,666208,1185995,1857779,1060610,596328,596327,667239,596016,596015,1060062,1185952,1060245,1060246,1186653,2067293,3482532,3477508,2063470,2063469,2064917,3479390,2068996,1187894,1187893,2067822,1187014,1187015,2066068,1185865,1185863,2066061,2067569,2066051,1185857,1185855,1186696,1857739,1857741,1186715,666678,666677,667178,666720,369852,202524,110482,110480,202517,202404,110423,60611,60610,110418,202393,332321,182967,182965,254104155,1060249,1857884,3173792,3173508,2067296,1186657,1186656,2067294,3482534,5605792,5602159,3477870,3477660,3477661,5201725,3173373,3173372,5201723,5202044,5604619,5604618,5603182,3478765,2064451,2064452,1185483,665906,369340,369341,665910,1185488,1186258,666390,369626,369624,596213,332374,182994,100343,55324,31203,31204,55329,100354,183014,332413,596281,1060498,1858267,3173521,1857668,1060118,1060119,1857672,3173533,3173690,3173688,5201938,3173585,1857722,1857723,3173589,4756728,5201544,3173272,1857508,1060016,595991,332248,332247,595983,1059996,254260263,5194587,5194589,8107824,12058728,17155272,13535924,9265593,9265594,10552429,10569799,9982878,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030 Dl.O(d2) = 8116520,8116518,12069968,12390185,12390186,17560997,23904913,23264850,17001134,11914557,7969941,6047939,254652825,13497397,255669911,21911117,21911118,29227131,31026629,23545724,17238148,17238147,23545721,31026622,39703805,37788953,37788954,35330537,27205219,20277306,20277305,27205218,32489631,24847304,23915323,23915322,17916575,17916576,24299431,21167154,21167152,15829063,10969510,10969509,15829058,11250892,11250891,10969540,7260864,4579179,2755045,2755044,4579172,7260856,10969524,15829083,21911018,29227038,37788955,47709938,40180366,40180367,40180383,256737702,37789027,44758550,38325663,38325664,47851045,39733035,31055040,23571735,17260591,17260592,255995365,23266096,23266095,30682929,25362718,18779997,18779996,25362716,31495556,38323783,268970419,23225291,16952017,16952016,11864937,7929624,5040785,5040784,7929621,7929637,7929638,11864954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156979, s2 = 1002002, dlinesl.size( ) = 2 s1 = 15156979, s2 = 1002002, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15156979, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 10344694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6509083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10149527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10149527, s2 = 10298677, int(edited[s2]) = 0 s1 = 10149527, s2 = 10298677, d1 = 56, d2 = 26 Dl.O(d1) = 324594,324596,580413,1030006,1783018,3058801,3072786,3084834,3084835,5047437,3057591,1782171,1016322,572885,572884,1016320,1782168,254376977,3062931,3080092,2715135,2715134,4517467,5087471,5087475,5056564,3063463,3063461,5056557,5055556,3062778,1785353,1018066,573767,573769,1018078,1785385,3062834,5043442,5041500,3052307,1778133,1013745,1013747,1778139,3052321,3086449,5087258,4936951,4936952,5074063,5074064,5088226,3087286,1802775,1802773,3087280,5088213,7993459,7992211,7992189,7992191,7783970,7783969,7977333,7977336,8000188,7939039,5048981,3058928,267836733,7939041,11676761,7938902,7938903,11679218,11679217 Dl.O(d2) = 47437588 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7969201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6553852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1005830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1049001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1049001, s2 = 1705416, int(edited[s2]) = 0 s1 = 1049001, s2 = 1705416, d1 = 23, d2 = 32 Dl.O(d1) = 26650793,26650794,31591877,24088479,254592466,8503581,8503582,12544504,17731093,24088483,25463395,33211140,31641064,254353696,24082256,24082255,31587522,25339583,18759547,13358241,9129363,9129362,13358239,18759545,16250117,16250118,20148996,14453820,14453819,20148992,18862303,13439173,13439174 Dl.O(d2) = 26903984,20021052,14339575,9851371,6470951,4055166,4055165,6470949,9851367,14339565,20021036,26903965,254865826,40289380,48741227,256033968,32774956,41691653,52003319,63818635,71858010,59120141,255816800,268379396,43311371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13190681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13190681, s2 = 13472864, int(edited[s2]) = 0 s1 = 13190681, s2 = 13472864, d1 = 7, d2 = 7 Dl.O(d1) = 52713400,42326333,42326332,52713549,64613837,64613601,52713550,52713551,52713529,52713530,255269800,33345099,33345098,42326327,52713315,52713314,254928744,64613820,255269772,52713511,42326300,42326298,52713506,64613795,64613814,64613813,64613821,64819538,78014444,64819495,52897774,52897773,64819494,61509003,50030900,50030901,61509005,74285470,78014494,64819546,52897816,42491040,33494482,25718419,19089298,13628940,9332488,9332487,13628938,19089293,255269788,42491001,52897776,64819497,61264059,61264058,74044040,87647337,78014474,78014475,255269766,61264082,49784975,49784974,61264080,61264083,49784976,39765404,39765403,33494460,33494459,42491003,38894591,38894589,257268671,43375785,53899590,59987334,48595463,38679109,30101632,30101633,38679111,48595464,59987335,72724733,86322124,100284232,93423998,79296346,65933801,53867195,43342771,34243137,34243138,43342773,36518625,28053957,28053956,36518622,257382159,46267288,48796352,57611733,46267263,46267264,57611734,269794157,99147907,112671652,98677139,84749595,71180817,71180816,84749592,84749585,71180815,71180814,84749584,98677133,112671646,99147889,270335266,126384825,112671644,98677129,98677130,112513789,112513764,112513763,99147879,85225374,84749552,71180796,71180795,71028771,58312979,46946390,46946388,258045453,269310929,257435211,28565321,28565322,37067167,46946374,58312942,259916009,259202880,104818903,119007021,123221868,122854992,260374544,259130824,104011129,89886387,86700998,73097477,73097476,86700997,255724930,268811824,42174917,33216079,25469199,18868961,13445310,13445311,255262508,33216082,33216078,25469197,18868960,13445309,254922484,18868954,13445306,9194034,6019039,3765362,3765363,6019041,9194037,13445312,18868965,255665488,255665486,18868956,18868955,255665484,31034323,31034324,33216074,42174915,52532604,49730152,49730151,61208684,73987654,87587798,87587797,77573799,269992346,257252252,31034327,23552729,23552728,31034325,39711569,256693640,24633652,18178733,18178734,24633654,268710411,256744802,51968540,51968539,57823819,57823818,70526077,84062963,259091844,61208679,61208680,73987648,259482217,97936170,84062967,70526080,70526081,84062969,87587786,87587787,97936174,97936175,111872579,106098493,106098492,120298910,120298909,106098495,106098494,97936172,97936173,106098497,91903449,91903448,91903443,91903442,106098488,91903445,91903444,91903457,106098502,111872582,97936176,97936177,111872584,120298912,120298913,260069446,91903451,77979048,64784958,52865800,52865799,64784956,270532375,77979059,259053611,64784966,64784965,258426493,52865804,42461841,42461840,52865801,64784959,77979051,91903454,260295885,106098482,106098481,106098500,91903473,77979077,64784975,64784943,64784942,259053607,106098473,91903436,77979038,257810523,42461834,33468507,33468508,42461838,52865786,42461822,42461821,42461823,42461824,42461847,268753919,19070367,13614568,13614571,13614580,9322443,6106667,6106668,9322445,13614584,19070380,19070385,13614590,9322450,6106670,6106669,9322448,13614587,19070371,25695589,33468506,42461833,33468509,25695590,19070391,13614597,9322454,6106673,6106672,9322452,254658721,6106677,9322462,13614605,13614604,19070398,13614601,9322456,9322455,13614599,19070395,255842302,25695609,25695620,255275995,13614606,19070406,25695607,25695608,33468531,42461868,52865828,58680453,58680454,52865813,52865812,52865824,256334076,52865825,52865827,42461866,42461865,47289331,58680456,71414246,64785043,52865866,42461900,33468549,33468548,42461890,33468544,33468545,42461891,52865859,64785033,77979110,64785019,52865848,52865847,254503662,91903493,106098521,91903484,77979098,77979097,91903482,91699535,91699536,77979101,77979102,64785021,64785020,77979106,76363970,63332735,51609060,41383245,32532930,32532931,41383247,33321363,33321362,33468539,42461878,42302094,33321377,25559435,25559434,33321365,25559423,18946670,18946669,254078002,42302081,52688879,64589428,63826908,52011146,52011145,63826905,76934549,77772207,64589439,52688885,42302085,42302084,254120592,63826914,52011149,41699509,32783130,254226772,52011144,52688877,52688876,64589426,77772186,91699531,105906777,104988596,90810764,77772199,64589435,63826901,63826900,76934542,90810755,104988588,91699538,91699537,84942000,268073250,37326736,37326735,47235460,47235461,58628339,58628540,58628539,71365351,84942002,98868866,112857088,112856986,112856985,126709142,114539070,100508882,86546818,86546817,100508881,257455214,114539063,100508921,86546849,72947126,72947127,86546851,100508924,114539099,128421981,114539086,100508897,86546828,72947115,60207393,48810336,48810335,258805421,100508892,86546895,72947154,72947155,86546897,100508896,100508931,86546860,72947132,257533282,38887998,30302006,22903121,22903122,30302008,38888002,257573425,61274012,72947123,60207396,60207397,72947124,86546845,72947153,72947152,86546892,100508968,114539102,100508933,86546858,72947131,60207400,60207399,72947128,86546853,100508925,114539101,114539117,114539116,128422005,141774512,128421986,114539091,100508909,86546835,72947119,72947120,86546836,91903504,100508904,86546831,72947117,72947118,86546833,256875306,91903509,77979130,64785029,64785030,257455182,100508937,86546863,86546864,100508939,255842288,106098527,91903506,77979127,64785027,52865852,52865851,64785025,254737762,91903501,91903500,106098530,112856906,98868650,84941738,268616750,255410128,84941741,98868651,90763072,90763073,104942936,119138678,126709108,269318056,86859943,73247342,60500417,49096879,49096878,60500415,73247339,86859942,100840631,113133212,113133211,126991525,126991526,140345910,128786306,114890685,270297432,129658469,115760668,115760669,129658471,142986770,256580648,105254366,91044789,77140235,77140234,255614454,119478843,133337992,129658464,125412822,256875344,256875346,268923184,255842316,97699226,83841845,70317222,70317223,83841847,97699230,111617563,97699233,97699234,97699231,256070280,255220110,64009713,64009714,77140240,91044794,83841855,70317227,70317226,83841852,97695238,97695237,97695262,111613810,111613811,125412827,125412810,111613784,97695221,97695222,268273454,255614456,57622423,256334100,83837659,83837616,70312786,70312787,70312780,57622388,57622389,70312782,83837608,70312816,257716624,46278036,257131566,70312792,83837619,97695225,83837652,70312821,70312822,70312827,57622424,46278044,36425318,27966776,20804294,14909976,14909977,20804290,27966770,256804949,46278019,57622391,70312784,83837610,97695204,83837632,70312804,70312806,71830870,59090685,58677274,58677275,71411302,59090690,58677259,58677260,71411289,70312797,57622403,46278026,257383137,70312799,73584358,257566334,57622381,46278013,46278012,57622378,70312765,83837591,97695213,84985424,71411296,71411297,256906106,255869912,71411291,84985415,257485838,71411293,256364256,97695229,85420830,71833171,59093253,47694842,47694841,59093251,63051659,51370230,41183879,32367669,24750577,24750576,32367666,256364254,63051647,76035121,89812816,91895767,91895766,100584151,257733650,103915168,89812830,76035137,63051656,63051655,76035134,63051654,63051653,76035133,81225442,95282929,109537571,120291205,120291206,127221090,258719864,113362887,256906112,99361336,268934126,59090664,59090663,71830840,85418585,99361334,89812828,89812827,103915164,118058104,259098944,100417730,258096064,127221110,127223078,113364850,99363400,99363398,113364847,113362826,113362825,120291210,113362830,99361306,99361305,113362828,113362831,113682719,258096072,113682717,113682718,127553455,127221131,127221130,127553444,258719848,258644482,258644480,99361402,113362909,99669899,85722319,72137996,59407991,59407990,72137992,258019964,99361398,113362899,259392180,87628241,87628242,101595466,101595467,115635955,109362124,95108003,81050627,67582873,67582872,81050626,95108001,87628233,74024273,74024274,87628236,259392178,81050635,81050636,95108012,87843818,74238548,61459330,61459331,74238551,257566332,42168764,33208872,33208873,42168767,52526778,64400159,52526764,52526763,60486504,73233418,71025286,58309673,46943156 Dl.O(d2) = 52713400,42326333,42326332,52713549,64613837,64613601,52713550,52713551,52713529,52713530,255269800,33345099,33345098,42326327,52713315,52713314,254928744,64613820,255269772,52713511,42326300,42326298,52713506,64613795,64613814,64613813,64613821,64819538,78014444,64819495,52897774,52897773,64819494,61509003,50030900,50030901,61509005,74285470,78014494,64819546,52897816,42491040,33494482,25718419,19089298,13628940,9332488,9332487,13628938,19089293,255269788,42491001,52897776,64819497,61264059,61264058,74044040,87647337,78014474,78014475,255269766,61264082,49784975,49784974,61264080,61264083,49784976,39765404,39765403,33494460,33494459,42491003,38894591,38894589,257268671,43375785,53899590,59987334,48595463,38679109,30101632,30101633,38679111,48595464,59987335,72724733,86322124,100284232,93423998,79296346,65933801,53867195,43342771,34243137,34243138,43342773,36518625,28053957,28053956,36518622,257382159,46267288,48796352,57611733,46267263,46267264,57611734,269794157,99147907,112671652,98677139,84749595,71180817,71180816,84749592,84749585,71180815,71180814,84749584,98677133,112671646,99147889,270335266,126384825,112671644,98677129,98677130,112513789,112513764,112513763,99147879,85225374,84749552,71180796,71180795,71028771,58312979,46946390,46946388,258045453,269310929,257435211,28565321,28565322,37067167,46946374,58312942,259916009,259202880,104818903,119007021,123221868,122854992,260374544,259130824,104011129,89886387,86700998,73097477,73097476,86700997,255724930,268811824,42174917,33216079,25469199,18868961,13445310,13445311,255262508,33216082,33216078,25469197,18868960,13445309,254922484,18868954,13445306,9194034,6019039,3765362,3765363,6019041,9194037,13445312,18868965,255665488,255665486,18868956,18868955,255665484,31034323,31034324,33216074,42174915,52532604,49730152,49730151,61208684,73987654,87587798,87587797,77573799,269992346,257252252,31034327,23552729,23552728,31034325,39711569,256693640,24633652,18178733,18178734,24633654,268710411,256744802,51968540,51968539,57823819,57823818,70526077,84062963,259091844,61208679,61208680,73987648,259482217,97936170,84062967,70526080,70526081,84062969,87587786,87587787,97936174,97936175,111872579,106098493,106098492,120298910,120298909,106098495,106098494,97936172,97936173,106098497,91903449,91903448,91903443,91903442,106098488,91903445,91903444,91903457,106098502,111872582,97936176,97936177,111872584,120298912,120298913,260069446,91903451,77979048,64784958,52865800,52865799,64784956,270532375,77979059,259053611,64784966,64784965,258426493,52865804,42461841,42461840,52865801,64784959,77979051,91903454,260295885,106098482,106098481,106098500,91903473,77979077,64784975,64784943,64784942,259053607,106098473,91903436,77979038,257810523,42461834,33468507,33468508,42461838,52865786,42461822,42461821,42461823,42461824,42461847,268753919,19070367,13614568,13614571,13614580,9322443,6106667,6106668,9322445,13614584,19070380,19070385,13614590,9322450,6106670,6106669,9322448,13614587,19070371,25695589,33468506,42461833,33468509,25695590,19070391,13614597,9322454,6106673,6106672,9322452,254658721,6106677,9322462,13614605,13614604,19070398,13614601,9322456,9322455,13614599,19070395,255842302,25695609,25695620,255275995,13614606,19070406,25695607,25695608,33468531,42461868,52865828,58680453,58680454,52865813,52865812,52865824,256334076,52865825,52865827,42461866,42461865,47289331,58680456,71414246,64785043,52865866,42461900,33468549,33468548,42461890,33468544,33468545,42461891,52865859,64785033,77979110,64785019,52865848,52865847,254503662,91903493,106098521,91903484,77979098,77979097,91903482,91699535,91699536,77979101,77979102,64785021,64785020,77979106,76363970,63332735,51609060,41383245,32532930,32532931,41383247,33321363,33321362,33468539,42461878,42302094,33321377,25559435,25559434,33321365,25559423,18946670,18946669,254078002,42302081,52688879,64589428,63826908,52011146,52011145,63826905,76934549,77772207,64589439,52688885,42302085,42302084,254120592,63826914,52011149,41699509,32783130,254226772,52011144,52688877,52688876,64589426,77772186,91699531,105906777,104988596,90810764,77772199,64589435,63826901,63826900,76934542,90810755,104988588,91699538,91699537,84942000,268073250,37326736,37326735,47235460,47235461,58628339,58628540,58628539,71365351,84942002,98868866,112857088,112856986,112856985,126709142,114539070,100508882,86546818,86546817,100508881,257455214,114539063,100508921,86546849,72947126,72947127,86546851,100508924,114539099,128421981,114539086,100508897,86546828,72947115,60207393,48810336,48810335,258805421,100508892,86546895,72947154,72947155,86546897,100508896,100508931,86546860,72947132,257533282,38887998,30302006,22903121,22903122,30302008,38888002,257573425,61274012,72947123,60207396,60207397,72947124,86546845,72947153,72947152,86546892,100508968,114539102,100508933,86546858,72947131,60207400,60207399,72947128,86546853,100508925,114539101,114539117,114539116,128422005,141774512,128421986,114539091,100508909,86546835,72947119,72947120,86546836,91903504,100508904,86546831,72947117,72947118,86546833,256875306,91903509,77979130,64785029,64785030,257455182,100508937,86546863,86546864,100508939,255842288,106098527,91903506,77979127,64785027,52865852,52865851,64785025,254737762,91903501,91903500,106098530,112856906,98868650,84941738,268616750,255410128,84941741,98868651,90763072,90763073,104942936,119138678,126709108,269318056,86859943,73247342,60500417,49096879,49096878,60500415,73247339,86859942,100840631,113133212,113133211,126991525,126991526,140345910,128786306,114890685,270297432,129658469,115760668,115760669,129658471,142986770,256580648,105254366,91044789,77140235,77140234,255614454,119478843,133337992,129658464,125412822,256875344,256875346,268923184,255842316,97699226,83841845,70317222,70317223,83841847,97699230,111617563,97699233,97699234,97699231,256070280,255220110,64009713,64009714,77140240,91044794,83841855,70317227,70317226,83841852,97695238,97695237,97695262,111613810,111613811,125412827,125412810,111613784,97695221,97695222,268273454,255614456,57622423,256334100,83837659,83837616,70312786,70312787,70312780,57622388,57622389,70312782,83837608,70312816,257716624,46278036,257131566,70312792,83837619,97695225,83837652,70312821,70312822,70312827,57622424,46278044,36425318,27966776,20804294,14909976,14909977,20804290,27966770,256804949,46278019,57622391,70312784,83837610,97695204,83837632,70312804,70312806,71830870,59090685,58677274,58677275,71411302,59090690,58677259,58677260,71411289,70312797,57622403,46278026,257383137,70312799,73584358,257566334,57622381,46278013,46278012,57622378,70312765,83837591,97695213,84985424,71411296,71411297,256906106,255869912,71411291,84985415,257485838,71411293,256364256,97695229,85420830,71833171,59093253,47694842,47694841,59093251,63051659,51370230,41183879,32367669,24750577,24750576,32367666,256364254,63051647,76035121,89812816,91895767,91895766,100584151,257733650,103915168,89812830,76035137,63051656,63051655,76035134,63051654,63051653,76035133,81225442,95282929,109537571,120291205,120291206,127221090,258719864,113362887,256906112,99361336,268934126,59090664,59090663,71830840,85418585,99361334,89812828,89812827,103915164,118058104,259098944,100417730,258096064,127221110,127223078,113364850,99363400,99363398,113364847,113362826,113362825,120291210,113362830,99361306,99361305,113362828,113362831,113682719,258096072,113682717,113682718,127553455,127221131,127221130,127553444,258719848,258644482,258644480,99361402,113362909,99669899,85722319,72137996,59407991,59407990,72137992,258019964,99361398,113362899,259392180,87628241,87628242,101595466,101595467,115635955,109362124,95108003,81050627,67582873,67582872,81050626,95108001,87628233,74024273,74024274,87628236,259392178,81050635,81050636,95108012,87843818,74238548,61459330,61459331,74238551,257566332,42168764,33208872,33208873,42168767,52526778,64400159,52526764,52526763,60486504,73233418,71025286,58309673,46943156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13190681, s2 = 13472864, dlinesl.size( ) = 2 s1 = 13190681, s2 = 13472864, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13190681, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 6623166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6623166, s2 = 872361, int(edited[s2]) = 0 s1 = 6623166, s2 = 872361, d1 = 6, d2 = 6 Dl.O(d1) = 52542159,256645815,25475285,33223262,42183276,258406905,91516628,257521402,257521400,85856940,85856939,85856940,258131007,22315264 Dl.O(d2) = 52542159,256645815,25475285,33223262,42183276,258406905,91516628,257521402,257521400,85856940,85856939,85856940,258131007,22315264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6623166, s2 = 872361, dlinesl.size( ) = 2 s1 = 6623166, s2 = 872361, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6623166, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 741211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 741211, s2 = 13777597, int(edited[s2]) = 0 s1 = 741211, s2 = 13777597, d1 = 1, d2 = 86 Dl.O(d1) = 18883517 Dl.O(d2) = 212915231,208171741,202420105,195575158,187569308,187569309,195575160,202420108,195575161,187569310,178372816,167952211,156379391,143862078,143862077,130542060,116705106,102606513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 741211, s2 = 13777597, dlinesl.size( ) = 2 s1 = 741211, s2 = 13777597, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 741211, Dl.E( ) = 90, 2.98e-05 seconds used appending s1 = 1008118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 944149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13493339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13417461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9671820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7881656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7912947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7912947, s2 = 10345501, int(edited[s2]) = 0 s1 = 7912947, s2 = 10345501, d1 = 0, d2 = 12 Dl.O(d1) = 13495387,13495389,18930413 Dl.O(d2) = 12700580,8628636,256558157,36997278,256216944,6979823,4385502,2627138,2627137,3668612,3668614,3768642,2258029,2258028,2907072,4824152,7624870,11463377,16452733,16452734,16452717,13454265,13454266,18576476,20081495,14398197,9903628,6509348,6509345,7626521,4825171,2907664,2907665,4825177,5875641,5875640,8999763,13201653,16770111,16770110,17147057,17147060,16452664,16452662,22642451,30014276,25128983,25128435,18575989,18575988,25128429,32833310,41754155,38587041,30014614,30014615,38586841,33230930,32833411,32833410,30014516,22642636,16452811,11463411,7624893,7624894,11463416,16452822,22642661,30014556,32833240,28732472,21474858,21474857,25128362,22642608,22642610,22644316,16454118,16454119,22644321,21474853,21474851,28732459,30019607,38592192,41754277,32833443,32833444,41754282,38586666,30855382,255065628,30772878,39373790,48501944,59895735,67610352,256742248,48506985,59895665,52068820,50048929,48501641,38586721,30014315,22642507,22642508,30014319,31625349,40313791,50339680,59566153,59566149,48501660,48501662,40028903,31348738,31348737,40028898,50048519,50048845,40028891,40028890,48180345,40028494,40028495,49378518,49378519,40028806,40028805,47438495,48145898,38235901,29670553,29670554,29704878,22350156,16199634,16199635,22350161,29704886,38271190,30015209,30015208,38586889,38586887,48501817,55265857,61528101,60157779,60157778,50048756,50048755,59895653,59895654,61528018,257651839,40063311,31380448,31380451,40063322,50084839,59896598,48502842,48502844,48507949,48507948,59901590,64602830,67817618,72638163,59896360,59896362,59896646,59896647,67596516,55254920,55254919,67596514,71561990,64602843,52702194,48508108,42315011,42315008,48507899,38592978,30020249,22647581,16456629,16456630,22647584,30020257,38592994,48507962,48507920,48507921,42314985,42314984,46212271,36381849,36381850,46212276,57527674,46679168,46679169,50084823,61564923,59949394,59949393,59949406,59949404,59898416,59896619,58893750,58893749,51113199,40971030,40971029,50065538,50048613,50048614,44624980,44624981,48502909,59895449,70772064,59896638,48502867,48502868,49186710,48502815,47799661,47799662,47799678,47799677,38587964,30015543,30015544,30020251,38592985,47514068,37609310,37609309,47514062,37609336,37609335,47514091,58053850,63886862,58053829,46679175,36793045,36793046,38642290,30067291,30067290,30067322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7912947, s2 = 10345501, dlinesl.size( ) = 24 s1 = 1010834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8061314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8061314, s2 = 7831068, int(edited[s2]) = 0 s1 = 8061314, s2 = 7831068, d1 = 10, d2 = 12 Dl.O(d1) = 39330296,30731936,29892287,24347208,17955419,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,21077842,21077843,28283101,33202702,33202700,33208235,25460467,18860450,13437678,13437679,13437503,9187091,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437908,9187320,6012991,254299531,2252708,254320676,9187321,13437910,18860781,21273265,15312035,15312034,20805484,14910865,10252797,6736921,6736922,10251868,10251869,13082641,18418776,24930050,25548629,24377293,24377292,27966386,20803917,20803916 Dl.O(d2) = 255356467,6734120,10249225,256267366,17289778,12168823,12136379,8166380,7505062,7505063,8229058,5300396,5300398,8229066,12198203,12212446,11368980,11368982,16339864,18536288,20125919,14434098,14434097,11655619,7767154,4920814,4920815,2967234,2967236,4920835,7767186,8212119,12180345,12211019,17336889,23653977,29847478,22481702,22481701,29847476,29879393,23607639,17295028,17295029,17254961,17254960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8061314, s2 = 7831068, dlinesl.size( ) = 2 s1 = 8061314, s2 = 7831068, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8061314, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 7998995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 367665, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13250587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13283375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1012174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1012174, s2 = 3417226, int(edited[s2]) = 0 s1 = 1012174, s2 = 3417226, d1 = 97, d2 = 73 Dl.O(d1) = 25570390,18960722,18960721,25570388,33330315,257209643 Dl.O(d2) = 113112592,126971311,140326343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1012174, s2 = 3417226, dlinesl.size( ) = 2 s1 = 1012174, s2 = 3417226, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1012174, Dl.E( ) = 106, 2.91e-05 seconds used appending s1 = 7887116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 406335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10178497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9663358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9663358, s2 = 7889831, int(edited[s2]) = 0 s1 = 9663358, s2 = 7889831, d1 = 11, d2 = 8 Dl.O(d1) = 91175033,91175032 Dl.O(d2) = 77862213,64672124,52757002,42357442,33368485,25603827,25603826,256866995,15439213,10673725,254939947,9393925,11000621,7282013,7282012,254637889,3653756,3653758,5853290,6516920,6516919,5751782,5751784,5751741,5751740,8827387,255089313,13367156,9462738,6204575,6204574,9462735,13799181,19299911,255629182,9134801,9134802,13366132,17965217,19288921,21395021,28634307,21969181,21969180,18753125,13352373,9124534,9124535,13352370,254916176,5970839,9124634,13352509,12825024,12825023,10600975,10600974,7284127,4593600,2763571,2763570,4593598,7284122,11003575,15874784,21328193,21969728,21969729,19830317,14205307,14205305,10627107,7014281,7014282,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596287,1596266,1596264,2753620,4576763,7256848,10963098,15819396,21898074,29212219,29741821,29741822,38310371,40894756,257712527 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8326941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8326941, s2 = 11187008, int(edited[s2]) = 0 s1 = 8326941, s2 = 11187008, d1 = 22, d2 = 17 Dl.O(d1) = 77868858,257225808,255685782,19504371,13960316,9585133,6291820,3940893,2359121,2296891,2296892,3833699,6127154,6127669,6128268,9355844,13662238,19133731,25773854,257668660 Dl.O(d2) = 61390820,61390821,59462316,48071721,48071720,257030408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8326941, s2 = 11187008, dlinesl.size( ) = 18 s1 = 164359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 164359, s2 = 9095709, int(edited[s2]) = 0 s1 = 164359, s2 = 9095709, d1 = 2, d2 = 3 Dl.O(d1) = 3829241,3978692,6341735,9645528,14030137,19583655,254452862,18998600,25611659,255286980,18975745,22057519,15953524,11071578,11071579,15953527,13062086,13062084,16108777,22057527,19665404,19665402,24889152,32534074,41384622,51610691,63334860,76367279,90197015,104352318,111740870,125547009,134056138,138879780,125547002,111740864,97818790,97818789,111740863,259253699,83959827,97818794,111740867,259253701,83959828,97818796,260474153,120220936,106018875,91823827,91823826,106018873,120220933,125547004,111740865,97818790,97818789,111740863,259253699,83959827,97818794,111740867,259253701,83959828,97818796,260474153,120220936,106018875,91823827,91823826,106018873,120220933,125547004,111740865 Dl.O(d2) = 260886945,111740871,260474153,120220936,106018875,91823827,91823826,106018873,120220933,125547004,111740865,97818790,97818789,111740863,259253699,83959827,97818793,111740868,105742733,257924292,259173350,119977366,105742733,91519220,77588322,255756430,33226584,25478210,18876399,13451484,13451485,10636417,10636419,12816213,8713883,5672322,3528216,3528215,5672320,8713882,254434992,6867748,5913732,3696826,3696825,5913728,9047052,254434990,18647369,25212446,32928439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 164359, s2 = 9095709, dlinesl.size( ) = 2 s1 = 164359, s2 = 9095709, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 164359, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10349090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349090, s2 = 8027398, int(edited[s2]) = 0 s1 = 10349090, s2 = 8027398, d1 = 24, d2 = 23 Dl.O(d1) = 258462460,52346932,64197064,55411621,48919024,38995151,30405817,30405818,38995154,48919030,269307890,9753890,9753889,14188868,19808679,26617967,268918966,43833904,259374804,255459698,28462461,21238822,17429815,256008277,39915999,49934110 Dl.O(d2) = 254930382,13323924,254656380,33015365,29983025,255034012,2639459,254120098,487877,487876,491017,275771,152355,152354,152357,152354,152357,152354,152373,152372,152016,152010,274875,440201,440206,775531,1360702,254308401,6266740,254950117,19446122,22998774,22998773,30403611,38992688,42806955,42806957,53260028,65249635,73306663,86917067,100897705,256968152,65249587,53259990,53259989,255485902,53260075,65249666,65249667,256432326,269307763,255109988,32413620,32413621,41238814,51436771,63134607,76140672,89947078,79265318,268646850,49393915,39465428,39465429,49393917,60794605,257860343,256705513,26340085,26340084,31792811,26340067,26340068,34213659,258477739,70797373,84355590,259309058,105465270,91242434,77321928,64172979,64172980,70797374,58080652,58080651,58080643,46709197,256298283,21119716,21119717,28330857,36826892,41980458,257492408,48180729,257265677,34213508,34213509,43311602,53836087,258477723,58080693,46709245,46709244,257860331,49188248,39262356,30666811,30666810,39262354,49188247,60588432,49188245,39262353,256473037,23251380,16988432,11903197,254563269,1788796,1019945,574723,574724,254175397,1800098,254254327,1803333,1029556,1029555,1803331,3087961,3092686,3054862,3054861,1794773,1794775,1799735,1572193,893889,504308,282781,282780,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573169,2715052,4517398,5092702,5092701,5062025,3066943,1794996,1794997,3076425,5073475,7972960,7992796,11941915,17026890,16976805,11889812,7949614,7938985,5048917,5048916,5077425,7978181,7949417,7949418,5087783,3086889,3086890,5087786,7930575,5071711,5071712,7970770,11889834,7949640,7949641,5067182,3071121,3071123,5067192,7949454,5055611,5055613,7949465,11689565,11865884,7930486,7930490,11399943,7574887,254358925,2887889,254369927,2974905,2978341,254369351,7786238,255124983,255322596,11681178,11681179,11677898,7796262,7796263,7789029,7789030,11680834,7794875,4942566,254805557,12361894,17528070,23872503,28976552,21693784,15653287,10834444,10834445,254258844,28976592,258703453,30603166,30603167,39199616,37150843,37150844,47041189,47041171,37150819,37150818,37150829,28635797,28635796,256862547,52243061,47041172,39199621,260065465,119874478,259653797,33140171,255660709,13401583,13401584,13393236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349090, s2 = 8027398, dlinesl.size( ) = 20 s1 = 8027399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8027399, s2 = 10349091, int(edited[s2]) = 0 s1 = 8027399, s2 = 10349091, d1 = 52, d2 = 49 Dl.O(d1) = 254258845,1846239,3154952,5173352,8078411,11969827,8013568,8013569,11969829,254805556,8047603,8047602,8020092,5108785,5108784,4057834,4057833,4057848,6475367,9857725,255322597,255124982,12002343,254369350,22964924,22964925,254369926,15541913,254358924,16718394,16718395,17026864,16732735,16732736,22968537,23356629,30296793,23353976,23353978,23270521,17007590,17007588,23270511,23243817,16976817,16976818,23243818,22954915,16718381,11676529,11676530,16718385,22954920,30356550,28588190,21357228,15379869,11977607,8024722,8024723,11977609,17067380,23255501,30671378,23565187,17253914,12134254,8164393,8064305,8064306,11983663,8032785,8032786,11983667,17067544,17091347,12004045,12004046,8062025,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338127,8000356,8000357,8019313,8019312,11973872,12017708,12017709,15777056,254254326,7230201,254175396,10547588,10547587,15281757,21247792,254563268,58214519,70931741,75554041,256473036,103398639,105401218,103398638,103398637,112406573,98417549,98132803,98132804,98132805,257860330,98713264,112708641,126572350,258477722,84785475,71216589,71216588,84785468,257265676,47763222,257492409,71900060,71900055,59161913,59161912,71900053,256298282,100018302,101979287,98713220,84785410,71216535,58494677,47116287,47116286,58494675,71216532,259309059,74397516,61618811,258477738,87761007,74156729,73263684,60518212,60518210,61376194,256705512,257860342,48609605,38694037,30117752,30117751,38694035,268646851,22736463,16529849,16529851,22736465,30117837,22736371,16529782,11520354,255109989,269307762,256432327,16529719,16529718,16455592,255485903,16455605,22646240,30018572,256968153,30018530,22646210,16455585,16455584,22646209,24311174,17926202,12701491,8629328,5611302,5611303,8629330,254950116,7020994,254308400,1530906,868531,489853,274964,152036,83474,45663,45661,83559,152354,152357,152354,152357,152354,152369,152366,152504,152498,276149,254120099,1537456,255034013,7473274,11257445,254656381,3806082,254930383,255676003,33382393 Dl.O(d2) = 49934109,48085068,256008276,16116889,11195234,11195235,255459699,259374805,37162639,268918967,36937500,28438012,21212814,15245321,15245323,269307891,49338229,39408750,30803900,30803899,39408747,35185659,35185660,44563962,55411638,258462461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7605699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7605699, s2 = 15259977, int(edited[s2]) = 0 s1 = 7605699, s2 = 15259977, d1 = 7, d2 = 5 Dl.O(d1) = 269088767 Dl.O(d2) = 254207433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7605699, s2 = 15259977, dlinesl.size( ) = 2 s1 = 7605699, s2 = 15259977, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7605699, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 747890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8228323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8228323, s2 = 1301475, int(edited[s2]) = 0 s1 = 8228323, s2 = 1301475, d1 = 19, d2 = 15 Dl.O(d1) = 70335216,57644737,46300087,255359832,21490504,255839587 Dl.O(d2) = 32840383,257106818,256327425,22974149,16737543,11693747,11693746,255476560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8228323, s2 = 1301475, dlinesl.size( ) = 20 s1 = 13334821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13334821, s2 = 13373434, int(edited[s2]) = 0 s1 = 13334821, s2 = 13373434, d1 = 3, d2 = 4 Dl.O(d1) = 19117030,19117029,25755219,19117043,13649072,9346402,6121841,6121842,9306119,6095926,6095927,9306122,13591150,19039831 Dl.O(d2) = 42465324,33472077,25699211,255276257,13616921,19073570,25699209,28493342,28493343,255363026,42465305,42465307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13334821, s2 = 13373434, dlinesl.size( ) = 2 s1 = 13334821, s2 = 13373434, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13334821, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 1016741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9145684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9145684, s2 = 6477441, int(edited[s2]) = 0 s1 = 9145684, s2 = 6477441, d1 = 39, d2 = 24 Dl.O(d1) = 42439541,52844171 Dl.O(d2) = 8279112,5341776,3283279,1931007,1549983,1549984,2675801,4454232,7074973,10709118,9938874,254977727 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9333495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9333495, s2 = 11088217, int(edited[s2]) = 0 s1 = 9333495, s2 = 11088217, d1 = 52, d2 = 12 Dl.O(d1) = 26999197,255254826,9918069,9136054,6529507,6517224,4083528,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994758,10601735,9122870,5969581,5969582,9122877 Dl.O(d2) = 30191502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9333495, s2 = 11088217, dlinesl.size( ) = 20 s1 = 13238797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6535074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6535074, s2 = 1331598, int(edited[s2]) = 0 s1 = 6535074, s2 = 1331598, d1 = 17, d2 = 19 Dl.O(d1) = 255681757,255681759,25604820,256157919,25691948,19067489,13612484,9321087,6105856,6105855,9321086,13612483,19067486 Dl.O(d2) = 33464376,42457495,42459386,42459384,52863279,42477665,42477664,52881539,257071614,52881603,42477757,42477756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6535074, s2 = 1331598, dlinesl.size( ) = 20 s1 = 9358517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9358517, s2 = 9578445, int(edited[s2]) = 0 s1 = 9358517, s2 = 9578445, d1 = 0, d2 = 12 Dl.O(d1) = 10892933,15729591,21787979,29085499,37635367,257477083,58921848,71642934,85208267,97967888,257891802 Dl.O(d2) = 196518820,188720171,179720837,262894457,158090784,261931225,132448116,260229149,90276430,76446306,257744721,256604161,18403263,18065914,12808155,8708750,5669469,3526738,3526740,5669476,5670276,5670279,8710388,12810844,8710286,5670229,5670226,8710276,11289788,11289785,13704892,15082793,10403240,6857678,6857620,4303680,4303683,6857637,8946339,8946342,13125785,8946451,8946455,13126425,13126420,18333407,18333411,18479969,13128805,13128809,16239443,11290016,10346388,10346387,15018571,20926514,28102497,28102496,32071072,32076227,24502952,18074722,13071775,8907514,8907513,13071773,18403262,24907583,256604157,32558251,32558252,41417206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9358517, s2 = 9578445, dlinesl.size( ) = 2 s1 = 9358517, s2 = 9578445, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9358517, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6467473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6467473, s2 = 7898108, int(edited[s2]) = 0 s1 = 6467473, s2 = 7898108, d1 = 6, d2 = 17 Dl.O(d1) = 254849484 Dl.O(d2) = 17491917,23610116,20829685,255358098,2527982,2527981,1457550,1457547,2220236,3707375,5929259,6770499,4243496,2537194,2534952,2534954,2533624,1460024,826468,826470,826498,466644,466647,826565,1460194,2533922,4238037,6762565,5504097,3392908,3392911,5504103,4247433,4247434,4298548,2569967,1479589,1479587,2569959,4298525,4265053,2549938,2549937,4265049,6801127,4296917,4296915,5935248,6788902,6788904,9005840,7672429,7672431,9000691,6781307,4250807,2541248,2541250,2055378,2055380,3466154,5586928,8598134,10386946,10299323,6818906,4277410,2557373,2557374,4277412,6818908,8179079,5248613,3206379,3206382,5248581,4275895,2556494,1472520,1472518,2556486,4275882,6816749,10266699,10266700,13272001,18663770,25232650,29262639,23538256,258168022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6567543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 372755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 615788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 615788, s2 = 7966655, int(edited[s2]) = 0 s1 = 615788, s2 = 7966655, d1 = 8, d2 = 13 Dl.O(d1) = 15812090,10957707,7252911,7252908,10957716,254963712,29201234,29155083,21846350,21846349,19144328,13669618,13669617,19144325 Dl.O(d2) = 255331500,15303744,10567890,10530863,10530862,13520228,15292453,15300053,12267830,8284461,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,10697347,10697345,10697243,7067164,4449554,2673194,2673193,4449547,7067143,10697218,12374696,17380733,17162519,15306088,13501593,12063550,268068407,10527101,13522484,12392376,254596041,5404732,8374598,12392379,17563590,18945403,13508774,9242987,6053619,3788165,3788167,6053624,9242999,6059642,6059644,7722310,11600546,8290763,8290762,8107428,7931375,5042286,3052997,3052999,5042296,4092948,2448761,1415869,805573,805571,1415909,2448849,2449168,1416067,254215195,4093699,6533439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 615788, s2 = 7966655, dlinesl.size( ) = 2 s1 = 615788, s2 = 7966655, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 615788, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 1021441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1021441, s2 = 4021968, int(edited[s2]) = 0 s1 = 1021441, s2 = 4021968, d1 = 5, d2 = 36 Dl.O(d1) = 25796801 Dl.O(d2) = 78320258,78320248,78320247,92353633,106658030,120910802,134709428,147836007,147836008,160091134,171318692,174461118,163624288,151748886,139046355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1021441, s2 = 4021968, dlinesl.size( ) = 34 s1 = 752787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6626244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7955388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7955388, s2 = 8381025, int(edited[s2]) = 0 s1 = 7955388, s2 = 8381025, d1 = 9, d2 = 7 Dl.O(d1) = 42710332,33680434,25874334,19215521,19215520,25874332,33680432,39741907,39741908,49760625,58682500,268210200,38152954,33680655,33680656,42710534,42710537,53160196,258442293,92462769,259070598 Dl.O(d2) = 160189159,147940419,134820625,121022546,106768565,92462763,78426532,78426531,65144528,258442293,92462769,106768572,92462782,92462781,106768587,121022570,134820646,147940416,262006924,134820627,134820626,147940415,147940418,134820648,121022571,121022566,121022565,134820621,121022541,106768562,106768563,121022544,121022546,272026131,106768586,92462780,271078887,121022568,121022569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7955388, s2 = 8381025, dlinesl.size( ) = 2 s1 = 7955388, s2 = 8381025, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7955388, Dl.E( ) = 10, 9.78e-06 seconds used appending s1 = 1025214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1025214, s2 = 10253798, int(edited[s2]) = 0 s1 = 1025214, s2 = 10253798, d1 = 7, d2 = 14 Dl.O(d1) = 25884886 Dl.O(d2) = 166862904,155170798,155170799,166862906,177409475,186724517,194837144,186724511,186724510,273569177,201779667,194837148,263217337,166862923,155170807,261257257,129151014,142527293,155170805,262786483,177409484,272974884,101142956,87144631,73525557,60777307,60777306,73525555,87144624,101142952,115220153,129151004,142527284,155170799,166862906,177409475,186724517,194837144,186724511,186724510,273569177,201779667,194837148,263217337,166862923,155170807,261257257,129151014,142527293,262313205,177409481,166862927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1025214, s2 = 10253798, dlinesl.size( ) = 74 s1 = 6680285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9422374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1027267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13330415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1028727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 758943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7942386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 602918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6526792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 761609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8097140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 167841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 26114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 26114, s2 = 10347112, int(edited[s2]) = 0 s1 = 26114, s2 = 10347112, d1 = 0, d2 = 8 Dl.O(d1) = 441325,441327,777649 Dl.O(d2) = 7026070 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8049448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2403764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7584989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178959, s2 = 3027759, int(edited[s2]) = 0 s1 = 13178959, s2 = 3027759, d1 = 14, d2 = 3 Dl.O(d1) = 26121554,19427647,13900449,9539114,6258052,6258053,9539118,13900456,19427656,15147687,10447117,10447119,9417134,9417135,13744731,19238128,24128610,17765419,12571593,12571594,17765422,24128614,31635666,26121562,19427653,19427654 Dl.O(d2) = 91891362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13178959, s2 = 3027759, dlinesl.size( ) = 2 s1 = 13178959, s2 = 3027759, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13178959, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 1696299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1161286, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 696199, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14162542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2974195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2974195, s2 = 1035261, int(edited[s2]) = 0 s1 = 2974195, s2 = 1035261, d1 = 4, d2 = 13 Dl.O(d1) = 89166615,89166616,103256505,117385653,117385654,131188876,135728551,144419698,144419699,144419682,272647477,159676214,147328228,259705340,106084194,91888694,91888693,78886792,271045800,19449829,13918587,9553203,9553204,6268422,3924726,2349597,1361114,775789,775790,1361115,254950285 Dl.O(d2) = 19449852,26147810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 565249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 765109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1036808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1036808, s2 = 5475756, int(edited[s2]) = 0 s1 = 1036808, s2 = 5475756, d1 = 6, d2 = 8 Dl.O(d1) = 26206973 Dl.O(d2) = 225763229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1036808, s2 = 5475756, dlinesl.size( ) = 2 s1 = 1036808, s2 = 5475756, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1036808, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 6475587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6475587, s2 = 11582040, int(edited[s2]) = 0 s1 = 6475587, s2 = 11582040, d1 = 36, d2 = 30 Dl.O(d1) = 254951713 Dl.O(d2) = 234027947,235063213 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164218, s2 = 8243373, int(edited[s2]) = 0 s1 = 14164218, s2 = 8243373, d1 = 1, d2 = 1 Dl.O(d1) = 34111825,43197911,256356199,21798899,255055353,7209145,254749139,15739188,15398668,10642806,10642805,7026550,7026551,7209153,10900482,255862499,255862501,268930301,41906873,52244159,64091691,71763626,85354074,99299163,97726311,83867373,70342083,57651474,46306764,36453899,27995433,27995432,255007084,26045749,26045748,26625821,24654399,18196477,18196475,14605106,14535798,10001217,10001215,11338957,7535160,7535161,11338962,16297032,20869305,14967034,14967036,19220051,13820750,9478608,9478609,13820752,19327285,20979907,15068045,15068041,16517103,14606709,10289401,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044545,10044546,14597738,16225708,19402018,23936355,17593105,17593106,14933776,14933775,20832225,22464891,20961173,20961172,28139200,21219231,21219230,28445160,22724377,16519163,11512459,7658314,7658315,11512461,16519165,268196467,10278440,14943958,20843810,28008613,32095831,25071492,18529167,18529166,14905723,10248699,10248698,14905719,20799030,27960843,34086028,26224943,19510099,13965073,268160455,19510085,13965061,9588750,6294398,3942608,2360185,2360186,3942609,2401934,2361632,1367802,779068,441961,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438387,438385,442014,779277,1368488,2363515,3945151,267939999,13969830,19515860,26231801,34093922,43178100,257851793,58135919,268692432,28392939,21173475,255813743,36889932,46768196,58135923,258654617,98317782,98317791,98317786,84407840,71566260,71566259,84407848,84407849,75590920,62648424,51022464,40885454,32112194,24535333,255217179,8727559,5681511,5681510,8727557,12835133,255611065,32112182,40885430,51022449,62648379,51022427,40885416,257126683,258949035,75590909,89352218,99738385,85784575,72190569,59452660,48061541,38148763,29582769,22235088,22235089,29582771,38148767,48061549,59452671,72190585,85784602,99738389,89352208,257933934,256766796,62648393,75590892,72190625,59452711,48061573,38148782,29582783,22235095,16100166,11183144,7420205,7420204,11183141,16100160,16100206,16100207,255896223,256934683,59452910,269338569,29582762,22235085,22235086,29582763,38148751,48061526,59452637,72190541,85784551,91252901,77333242,77333243,91252903,260630097,100281948,86319846,72722353,72722354,85784760,72190753,59452814,268942089,38148849,48061653,59452818,72190756,59453162,59453163,257514711,258124485,258747803,72190733,72190732,85784741,99738568,85784863,85784864,99738631,85784799,72190787,59452835,48061668,38148865,38148866,48061670,59452838,72190746,85784755,258124491,48061678,38148872,29582843,29582842,256934681,255896225,22235166,29582912,38148968,38149091,48061897,38149099,255896233,16100255,11183201,7420236,7420235,11183199,16100250,22235212,22235241,22235242,29583023,38149126,38149141,38149064,29582981,29582980,29582950,22235192,16100238,11183189,7420230,7420228,11183184,16100231,22235179,29582936,38149000,48061798,48061794,48061793,59452964,59453032,59452944,48061770,38148972,29582915,256392435,257514723,258747813,257628816,59453001,255995848,29582962,38149038,48061835,59453006,72190957,85784955,99738764,99738793,85784985,85784966,85784967,99738772,113753170,115629416,270376032,260100066,113753190,99738803,85784996,259484742,269389396,85784965,258237900,257046298,255995850,67665546,55325659,55325658,59453003,268434420,48061841,48061840,59453018,72190971,85784978,99738530,85784716,259372859,259484752,127621754,127621756,259464670,85784710,72190700,72190699 Dl.O(d2) = 34111825,43197911,256356199,21798899,255055353,7209145,254749139,15739188,15398668,10642806,10642805,7026550,7026551,7209153,10900482,255862499,255862501,268930301,41906873,52244159,64091691,71763626,85354074,99299163,97726311,83867373,70342083,57651474,46306764,36453899,27995433,27995432,255007084,26045749,26045748,26625821,24654399,18196477,18196475,14605106,14535798,10001217,10001215,11338957,7535160,7535161,11338962,16297032,20869305,14967034,14967036,19220051,13820750,9478608,9478609,13820752,19327285,20979907,15068045,15068041,16517103,14606709,10289401,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044545,10044546,14597738,16225708,19402018,23936355,17593105,17593106,14933776,14933775,20832225,22464891,20961173,20961172,28139200,21219231,21219230,28445160,22724377,16519163,11512459,7658314,7658315,11512461,16519165,268196467,10278440,14943958,20843810,28008613,32095831,25071492,18529167,18529166,14905723,10248699,10248698,14905719,20799030,27960843,34086028,26224943,19510099,13965073,268160455,19510085,13965061,9588750,6294398,3942608,2360185,2360186,3942609,2401934,2361632,1367802,779068,441961,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438387,438385,442014,779277,1368488,2363515,3945151,267939999,13969830,19515860,26231801,34093922,43178100,257851793,58135919,268692432,28392939,21173475,255813743,36889932,46768196,58135923,258654617,98317782,98317791,98317786,84407840,71566260,71566259,84407848,84407849,75590920,62648424,51022464,40885454,32112194,24535333,255217179,8727559,5681511,5681510,8727557,12835133,255611065,32112182,40885430,51022449,62648379,51022427,40885416,257126683,258949035,75590909,89352218,99738385,85784575,72190569,59452660,48061541,38148763,29582769,22235088,22235089,29582771,38148767,48061549,59452671,72190585,85784602,99738389,89352208,257933934,256766796,62648393,75590892,72190625,59452711,48061573,38148782,29582783,22235095,16100166,11183144,7420205,7420204,11183141,16100160,16100206,16100207,255896223,256934683,59452910,269338569,29582762,22235085,22235086,29582763,38148751,48061526,59452637,72190541,85784551,91252901,77333242,77333243,91252903,260630097,100281948,86319846,72722353,72722354,85784760,72190753,59452814,268942089,38148849,48061653,59452818,72190756,59453162,59453163,257514711,258124485,258747803,72190733,72190732,85784741,99738568,85784863,85784864,99738631,85784799,72190787,59452835,48061668,38148865,38148866,48061670,59452838,72190746,85784755,258124491,48061678,38148872,29582843,29582842,256934681,255896225,22235166,29582912,38148968,38149091,48061897,38149099,255896233,16100255,11183201,7420236,7420235,11183199,16100250,22235212,22235241,22235242,29583023,38149126,38149141,38149064,29582981,29582980,29582950,22235192,16100238,11183189,7420230,7420228,11183184,16100231,22235179,29582936,38149000,48061798,48061794,48061793,59452964,59453032,59452944,48061770,38148972,29582915,256392435,257514723,258747813,257628816,59453001,255995848,29582962,38149038,48061835,59453006,72190957,85784955,99738764,99738793,85784985,85784966,85784967,99738772,113753170,115629416,270376032,260100066,113753190,99738803,85784996,259484742,269389396,85784965,258237900,257046298,255995850,67665546,55325659,55325658,59453003,268434420,48061841,48061840,59453018,72190971,85784978,99738530,85784716,259372859,259484752,127621754,127621756,259464670,85784710,72190700,72190699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164218, s2 = 8243373, dlinesl.size( ) = 2 s1 = 14164218, s2 = 8243373, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164218, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 548771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 548771, s2 = 3350142, int(edited[s2]) = 0 s1 = 548771, s2 = 3350142, d1 = 89, d2 = 41 Dl.O(d1) = 13966806,19512262 Dl.O(d2) = 109398412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 548771, s2 = 3350142, dlinesl.size( ) = 38 s1 = 1037701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 258125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7819450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7819450, s2 = 14330299, int(edited[s2]) = 0 s1 = 7819450, s2 = 14330299, d1 = 31, d2 = 3 Dl.O(d1) = 257323974,15885660,254695008,4596924,254232431,911386,911387,1602898,2765367,4596930,7289799,11012026,15885687,21981024,15885976,11012218,11012219,11012028,7289800,7289801,255094566,12207900,8239464,8239460,12207892,15539417,11011217,7289324,4596658,4596657,7289320,11011211,15154865,16355945,11382301,11382299,11374767,11374766,16347101,16349838,21567732,15545558,15545559,21567736,28839246,37379465,37378590,28838336,21566723,15544476,10750655,10750656,9966491,254123136,2454525,1418855,807111,457318,457321,807124,1418887,2454600,3197621,5237972,3197398,1871612,1067582,1067583,1871619,3197410,5237994,8168703,12138900,11372152,11372151,254264072,15158352,10453864,10453863,12211327,8242058,8242057,11348636,15544239,10750475,7102597,7102595,10750465,15544218,16315935,16315933,12204210,12204207,12349483,8343640,5385373,5385374,8343648,10720264,10720266,15501538,254392540,37306244,38429170,29867625,29867626,36456755,31096882,31096883,38425558,29861560,255160308,254754192,23368866,17100354,17100353,16309820,254781553,7540521,255069110,22481092,29843089,29956570,29352463,28879671,21604046,21604047,28879674,21604124,15576025,10774454,7119010,4482306,2693165,1560232,1560231,2693161,4482299,7118998,10774428,15575978,21604057,28879692,268924881,38147717,255581506,255081488,48060926,38148141,29582215,22234592,16099806,16099805,16043127,11139598,11139599,16043130,22165572,19541255,19541256,26260572,34126388,43213984,38193154,29626391,29626392,38068474,29505139,29505140,29581888,29581887,38147789,38147758,38147757,38094366,29530568,29530567,25856806,19199908,19199909,25856812,30024659,22651834,22651833,30024655,30552785,29582186,22234568,22234569,29582190,30024773,30024772,30024717,22651880,16460359,16460358,22651861,16460349,16460348,22651855,30024528,22651740,16460285,16460286,22651744,22651786,30024588,38596899,39352334,30751971,23329705,23329706,30751974,39352338,38596939,38596940,47980674,48511317,38597019,38597022,48005904,48005905,48511617,48511618,48511408,38596885,30024574,22651778,22651779,30024576,38596887,38596886,255729234,43916391,43916394,54656988,43916137,34643045,34643044,43916135,48511472,48511473,59904828,59904958,54658790,54658789,59904771,54658603,43916152,34643056,34643057,43916055,255315870,48511528,48511529,43916281,43916207,34643097,34643098,43916208,34644696,34644697,43916343,43916342,54658742,43916377,34643294,26652154,26652152,34643291,40489543,40489542,50525103,54658650,54658717,43916303,34643238,26652114,19838552,14212212,14212213,19838399,14212127,14212126,19838163,14212217,9770320,6423958,6423959,9770325,14212220,19838569,26652149,26652044,19838504,14212192,14212193,19838509,26652051,26653623,26651880,19838382,14212118,9770276,9770275,14212112,19838372,26651859,34642953,43916072,39154961,30557396,23139961,23139962,19838471,19838465,19838464,26649284,19835800,14210075,9768809,9768811,14210077,19835806,26649294,254466458,26652195,26653606,34643013,34643014,256202010,19838519,14212198,14212197,19838517,26652064,34643170,255315938,43916407,43916408,54658523,54658502,43916044,34642960,30762017,23339120,23339119,26651873,34642975,34642916,26651990,26651991,26649239,19835770,19835771,26649243,26649229,26649227,34640693,26649328,19835831,14210097,9768824,9768825,14210102,14241716,9790215,6436277,6436275,9790209,14241712,19877303,26697860,34692468 Dl.O(d2) = 11724485,255127093,255487669,30052491,28297114,28297115,30544984,23126668,23126669,30544989,39143497,44609917,39143476,39143475,255127632,33169643,42125747,38446540,29890051,22535522,22535521,28933726,28933724,21658852,21658853,24692401,18224112,18224111,21656053,22411973,21089574,21089573,21658843,21658842,18339789,254180062,32473469,41319246,36794359,28933780,28933779,26733925,26733924,254180060,26733934,19898903,14254738,9797834,6440647,4039882,4039881,4501724,2705291,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,6779859,6779861,10308461,14975936,14997291,14997289,20822644,16514782,11509214,7656351,4844556,4844557,7656355,11509224,16514713,16514720,16514719,22719731,20352488,15598700,15598699,14597228,10044157,10044156,14597221,19029200,13582807,13582805,10021485,10021484,11339249,14925914,11339329,11339330,16297518,15594126,268140838,21623632,15593113,15593112,20345298,14602648,14602649,15058635,254483342,28146833,21405575,15417973,10657943,10657942,15417969,21405571,25824954,24681410,24681409,28906084,21631929,21631928,28906082,29943703,22580605,22580606,27290458,22368776,16214351,254544332,10262690,6743816,4225793,4225791,6743809,10262675,14924447,20822367,19809557,19809554,20838622,14939389,14939390,20838623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7819450, s2 = 14330299, dlinesl.size( ) = 2 s1 = 7819450, s2 = 14330299, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7819450, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 1039133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1039133, s2 = 6531100, int(edited[s2]) = 0 s1 = 1039133, s2 = 6531100, d1 = 69, d2 = 47 Dl.O(d1) = 26262893,19543128,254451822,254207484,3957762,6258459,3917933,2345250,2312833,1341719,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1358532,774419,774420,1358533 Dl.O(d2) = 18503401,18503399,255639291,32724061,41630325,51933259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1039133, s2 = 6531100, dlinesl.size( ) = 58 s1 = 9369621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9369621, s2 = 8054565, int(edited[s2]) = 0 s1 = 9369621, s2 = 8054565, d1 = 12, d2 = 10 Dl.O(d1) = 39348007,39348008,46456231,46456230,256375859,22016820,15915077,15915076,22016817,29348609,37917217,46456238,46456237,38627752,38627749,30689303,255147420,25779433,25779432,33569598,33569611,42586586,33569574,25779410,19138179,13665663,13665662,19138177,19138216,25779445,25779444,20871820,14969571,14969572,255787055,19138190,13665673,9358439,6130006,6130005,9358434,13665666,19138184,25779416,20896816,14992712,10323736,6792875,4258994,4258995,6792878,255364281,10323733,10323734,14992710,20896813,255651825,18709452,25282170,20944452,18683387,18683388,20943624,15035190,10362852,6826294,6826288,6826287,254911197,9076485,13294419,18687725,25259266,32982562,41922899,269306597,46756126,41937510,256490391,23460116,23460117,256490393,38462946,29905674,22549513,255917671,38462945,48364540,58129812,61545961,50067909,50067908,61545915,61545916,50500938,46761712,36883265,36883266,46761696,46761697,47896802,37979509,37979506,47896798,49873833,49873832,55250953,67592593,58931254,47548945,37642707,37642706,47548943,58931251,61545955,50067895,40048543,31368117,23873353,17529032,17529033,23873356,23873403,19545520,13995863,9615042,9615041,13995861,19545519,19545619,19545620,22544022,22544021,256181683,23873439,17529090,17529091,19545522,19545521 Dl.O(d2) = 15391023,10636655,7021682,4415906,4415905,7021679,10636650,15391018,21371458,28605489,34132076,34132077,43220005,39292386,39292385,49219082,256737284,47000799,47542087,37636863,37636862,256750076,53022201,42581821,33564768,33564767,42581830,53022208,255322056,25775322,19134926,19134927,25775324,33564765,42581826,37114841,28605396,28605395,37114840,47000733,42581846,33564785,25775337,19134936,19134937,25775340,33564790,34132095,26265564,19545318,13995722,13995721,19545315,26265561,34132091,43220023,53723787,65780359,58371083,269189942,67708719,55369066,44523001,35146556,35146555,44523000,55369065,53022241,53022240,47542056,47542057,53022243,64997510,53733620,53733622,258189232,53022270,64997545,78271210,64997501,53022234,53022230,42581851,42581850,53022229,61407461,61407460,73370400,65789426,61407496,61407497,61407491,61407492,74187162,78271215,64997507,64997508,73370390,65789428,53733617,53733618,61407450,53733613,53733612,60154110,257855139,49928014,39908710,39908709,49928012,49928054,49928053,49326599,39398333,39398334,257608769,60728693,60624799,49223625,49223626,60624791,49928063,39908745,31232259,30699055,23283474,17024206,255527515,17024207,23283479,30044249,30044248,38618287,48533550,59927105,65789178,53733361,53733360,65789175,58128734,46760456,46760455,58128732,70843164,65788326,53732258,53732257,65788322,79142543,73370403,73370402,79142405,269652904,73476949,61407505,49928057,39908740,31232257,23748723,17423279,12280439,12280437,17423274,23748711,31232241,39908714,49928020,61407465,60154107,50067950,40048615,257260843,34131874,34131873,34134029,257260977,65789450,65788044,65779879,53723313,53723314,256541848,31264483,26265329,21167049,15209782,15209783,13995712,9614938,6315492,3958382,3958383,3958339,3958340,6315443,9614877,13991803,19540609,26259079,34124654,31448698,31448699,26204539,19494981,13953857,13953858,19490507,26199972,34054717,33463627,33463626,41406501,32548414,32548415,41406529,32548388,32548389,40128555,50150026,48078410,38165695,38165694,43136023,53637646,59468349,48077718,48077719,41406784,41406507,32548371,32548372,40651723,40651724,41512777,32628387,24960063,18442329,13100427,8928155,254527354,18442315,24960040,32628361,29596573,29596574,38163125,48075966,256935986,261716971,270321334,113767130,126710070,112858320,98870722,84944531,71368376,71368377,71368375,58631707,58631706,50418973,40384435,40384434,50418971,42186148,33225963,256645899,52544931,269504741,269504743,52544933,64419121,64419111,52544926,42186145,42186144,256645905,268297279,13451218,18876004,25477721,256645903,269411643,257678945,269885051,40384438,31690776,255588095,17813670,24182082,31690774,40384437,50418976,258255660,40383981,256517866,256040457,40383980,50418408,40384448,31690783,255588099,254872163,5557294,5557293,8560334,12611764,255588097,269871686,50418404,257678895,50418407,61908793,61909456,50418988,256547335,31690782,31690778,24182083,24182084,256013112,12611688,8560290,8560289,12611686,17813551,24181902,31690478,40383973,31690484,31690483,40383977,50418403,61908791,74702225,259535489,74702219,61908782,61908783,74702222,61909450,50418980,50418981,50418963,258288143,61909439,50418965,50418402,50418401,61908789,74702232,88329919,88330740,74702961,74702954,61909436,61909435,61909454,74702953,61909434,258288141,88330730,102326543,116419147,130256185,116419168,102326562,88330746,88330745,102326561,261318063,261909924,116419146,102326549,88330735,74702956,74702957,75818871,89600812,103716176,117870051,116419151,116419150,130256189,262835681,143584629,143584628,261860059,143584630,143584631,156120565,143584640,130256195,130256194,143584638,139657229,126287370,112424673,98436444,84514915,84514914,84514921,84514922,98436450,109493749,95240593,259165678,55380202,55380201,67720159,70951383,58234232,58234233,257916244,70951397,58234242,58234243,70951395,269638534,58492527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9369621, s2 = 8054565, dlinesl.size( ) = 14 s1 = 1583942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1039989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1039989, s2 = 14323747, int(edited[s2]) = 0 s1 = 1039989, s2 = 14323747, d1 = 25, d2 = 27 Dl.O(d1) = 26302594,19579430,14026731,9642746,6339461,3976915,3976916,6221590,8880556,5791399,5763390,3589790,2140222,2140220,3589780,3564852,3564853,3564933,3564936,5651039,3513394,2094620,2094617,3521056,5661454,8697884,12793553,18047222,12793557,12793556,18047225,24467098 Dl.O(d2) = 74107254,61324069,49840784,39817222,31134685,31134686,39817223,49840787,58257346,46890249,46890250,54711070,43967225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1039989, s2 = 14323747, dlinesl.size( ) = 2 s1 = 1039989, s2 = 14323747, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1039989, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 1040392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1042059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1042708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 770827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6577395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6577395, s2 = 16231162, int(edited[s2]) = 0 s1 = 6577395, s2 = 16231162, d1 = 116, d2 = 113 Dl.O(d1) = 256153642,19667137,19667138,26401240,34276214 Dl.O(d2) = 2459914,2459913,4112354,6564292,9987461,14514449,20226776,27132496,35226520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6577395, s2 = 16231162, dlinesl.size( ) = 2 s1 = 6577395, s2 = 16231162, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6577395, Dl.E( ) = 120, 3.6e-05 seconds used appending s1 = 1043598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13459543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 253599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14486705, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 773859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1047328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8162634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8162634, s2 = 1239570, int(edited[s2]) = 0 s1 = 8162634, s2 = 1239570, d1 = 1, d2 = 1 Dl.O(d1) = 50432877,40399561,31707825,24200447,17831216,12626121,8571976,5567847,5567846,6440451,6440453,5567945,3451887,2045181,1172574,658193,658191,1172565,2045155,2060196,1182273,664058,664059,1182277,2060203,3473079,5596465,5596428,5596427,8610810,12678677,17898454,255285962,16291989,16291988,17831184,17831183,16291984,11335057,11335056,16291979,20900362,19455979,19455978,26154880,26637435,19825382,19825383,23785022,254681734,8310624,5362349,3296447,3296448,5362351,8310628,12304349,17454404,23785038,31270358,39945005,49961750,61439652,74219008,259500425,101796584,100864041,86883963,73272472,60527734,49126987,39199604,39199605,47041179,47041178,58415858,257012861,39199616,37150843,28635808,21396042,15410440,10651977,7033569,4425000,4424999,7033567,10651972,15410435,21396037,28635805,37150837,257441569,71137382,84707139,259922577,112634260,126499634,139866304,262655669,164432929,263497021,184782522,193136962,264179213,211372773,215467151 Dl.O(d2) = 50432877,40399561,31707825,24200447,17831216,12626121,8571976,5567847,5567846,6440451,6440453,5567945,3451887,2045181,1172574,658193,658191,1172565,2045155,2060196,1182273,664058,664059,1182277,2060203,3473079,5596465,5596428,5596427,8610810,12678677,17898454,255285962,16291989,16291988,17831184,17831183,16291984,11335057,11335056,16291979,20900362,19455979,19455978,26154880,26637435,19825382,19825383,23785022,254681734,8310624,5362349,3296447,3296448,5362351,8310628,12304349,17454404,23785038,31270358,39945005,49961750,61439652,74219008,259500425,101796584,100864041,86883963,73272472,60527734,49126987,39199604,39199605,47041179,47041178,58415858,257012861,39199616,37150843,28635808,21396042,15410440,10651977,7033569,4425000,4424999,7033567,10651972,15410435,21396037,28635805,37150837,257441569,71137382,84707139,259922577,112634260,126499634,139866304,262655669,164432929,263497021,184782522,193136962,264179213,211372773,215467151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8162634, s2 = 1239570, dlinesl.size( ) = 2 s1 = 8162634, s2 = 1239570, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8162634, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1048720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1713984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7682505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15328278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13284275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13338607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1050794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6476719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1370338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1370338, s2 = 14121766, int(edited[s2]) = 0 s1 = 1370338, s2 = 14121766, d1 = 69, d2 = 47 Dl.O(d1) = 34694059,268814279,26688493 Dl.O(d2) = 203350032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1370338, s2 = 14121766, dlinesl.size( ) = 50 s1 = 6482582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9689852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8283452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8283452, s2 = 7315674, int(edited[s2]) = 0 s1 = 8283452, s2 = 7315674, d1 = 61, d2 = 41 Dl.O(d1) = 259977008,34329506,26449628,19708741,19708739 Dl.O(d2) = 265329985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8283452, s2 = 7315674, dlinesl.size( ) = 32 s1 = 973092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 973092, s2 = 13419855, int(edited[s2]) = 0 s1 = 973092, s2 = 13419855, d1 = 32, d2 = 37 Dl.O(d1) = 24615113,32205231,26849675,19976223,19954990,14289165 Dl.O(d2) = 13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713654,9713657,14118685,9714026,9714029,14119368,256190583,43409222,51001283,51001284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 973092, s2 = 13419855, dlinesl.size( ) = 38 s1 = 7885640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7885640, s2 = 2028199, int(edited[s2]) = 0 s1 = 7885640, s2 = 2028199, d1 = 12, d2 = 17 Dl.O(d1) = 256559060,258923024,43312385,34214332,26340793,26340789,34214330,36456954,27998568,20834326,20834327,27998570,268057034,26836406 Dl.O(d2) = 2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751161,34446797,34446799,34774899,34774897,43765943,54331800,54032811,43828363,43828366,34557830,34557834,42698324,42698321,53148992,65134136,78416053,66656832,62994254,62994251,54939007,54939010,54421910,43729348,43729351,51684981,41437884,32573728,32573725,30937450,30937451,30989784,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,34829634,26785173,26785175,26786060,26786064,26787137,19933788,14276763,14276761,19933859,26511945,30402024,30402021,38990455,43600320,34422106,26549351,26527248,19748381,14150726,14150729,14147436,9729614,9729616,14147543,19741670,26513840,34448539,34491400,256789560,43948986,34674317,26680894,269146912,18088103,12823459,8718460,5675006,5675010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7885640, s2 = 2028199, dlinesl.size( ) = 2 s1 = 7885640, s2 = 2028199, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7885640, Dl.E( ) = 20, 1.22e-05 seconds used appending s1 = 14162792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162792, s2 = 14165001, int(edited[s2]) = 0 s1 = 14162792, s2 = 14165001, d1 = 3, d2 = 0 Dl.O(d1) = 86832638,78037300,64840103,52915365,52915309,42505935,33507127,33507128,42505940,43061903,43061904,53541010,65565712,78900590,65782536,65782537,60473705,60473706,73220081,65000894,65000889,53026190,53026191,52915407,52915409,64840155,65565780,53541070,53541069,65565775,53936027,53936026,65565717,61251000,49772360,49772358,61250995,74030937,78037321,78037245,64840049,52915303,42505933,33507125,25728783,19097109,13634490,13634488,19097100,25728768,33507138,42505967,42506068,42506100,42506099,52915491,64840141,64840125,64840126,78037237,64840036,62143287,52915395,52915396,64840139,65565789,65000901,53026206,53026194,42586422,42586423,53026199,50156672,50156674,53541073,43061979,43061980,53541078,65565784,60285743,48892192,48892186,48892187,53026117,53026116,52911233,52911232,52313364,41972983,41972982,33507174,25728795,19097112,13634495,9336289,9336291,13634501,19097116,25728800,25728838,33507228,42506074,43019894,33962238,33962239,43019899,40589224,31882253,24355779,24355780,31882259,40589230,50637015,257422870,53541462,58011219,46636558,36749773,28254562,21053885,21053887,28254570,36749780,41972921,33029791,33029790,34004043,26162335,19462171,13928030,13928031,19093888,13632006,9334455,9334456,9559852,6272805,3927456,2351153,2351152,3836442,254207753,761617,1333599,2298388,2280042,2280041,2250572,1305861,745318,745319,1110282,1305589,745125,745124,1305586,2250223,1943358,1304813,744555,744554,1304806,2249218,3302970,1942864,1109884,1109885,1942868,1305564,745106,423262,238839,238655,131863,131864,238656,422960,744630,1304914,1943105,1305438,1305437,2250004,3756607,3756893,3302416,1942391,1942392,1304787,744542,422911,422912,744543,1304788,2249188,2411314,2411313,3756540,2249932,2249933,3756541,2521541,2193871,1274226,1274227,2192589,3663768,3663706,2192515,267759811,414075,727720,795960,451094,451092,795952,1398616,2416092,2192524,2192525,1273327,727888,414171,233903,129009,69936,69938,129015,233725,413855,727364,748412,728141,414355,414356,728148,1273696,1411529,1411530,1395951,1273366,727908,414177,414180,727915,1273374,741931,421614,237926,254093523,726647,413276,233316,233317,129093,129095,129084,129083,129582,234771,254112217,727293,413807,413806,234071,234070,414422,254093141,129263,129261,234288,255592,141574,77599,77601,79449,144331,260074,144856,79683,79684,139380,139382,140997,254083749,141003,77190,42016,254077111,254762,452139,797823,1402163,2424114,4050530,6464698,7622334,11459639,16447309,20007208,20007209,26887611,26887563,20007160,268172559,9842863,6464594,4050465,2424078,2424077,4050463,6464589,9842831,9842830,254900657,6464601,6464602,6464608,9842876,14328390,20006941,26887367,26887368,34966117,26887615,20007211,14328584,14328585,20006866,20006865,26887289,26887543,26887544,26887380,20006950,20006951,20006944,20006943,26887372,26887338,255735911,14328406,14328405,20006837,14328313,14328312,20006788,14328284,9842800,6464561,4050447,4050448,254684287,14328292,20006800,26887198,34965959,44343460,55194215,55194222,44343465,44343463,44343653,44343652,55194401,55194242,55194241,256523608,44343504,44343514,34966012,34966013,44343517,55194275,55194111,44343387,44343388,55194113,44343574,44343573,34966198,26887430,20006985,14328422,9842895,6464619,6464618,9842893,14328418,20006979,26887419,34966181,34965976,26887220,26887221,34965978,256397012,34965968,34965970,26887406,26887407,34966156,44343665,55194414,51692393,41442524,41442525,44343678,34966193,26887428,26887427,34966191,44343709,44343717,44343716,55194442,55194443,67538477,55194398,44343649,34966145,26887402,26887403,34966146,43164966,53675159,65731193,269784352,95067253,81008243,67538568,55194499,55194498,67538567,60379267,48982434,48982435,60379268,67538505,81008174,258751884,81008009,81008008,81008011,81008010,67538474,67538473,73119232,60379276,48982442,39059737,30469065,23059832,16812164,11756361,7849538,7849539,7848973,7848974,11755503,16501919,11498225,11498226,268449174,38665313,48581568,59973284,72710309,259411675,114298654,109531446,95276504,81218888,67752511,55411962,44564351,44564350,55411961,67752510,81218886,95276503,109531445,260703750,259491286,74557607,258244450,50294075,40272716,31585762,31585761,28008324,20843585,14943795,10278327,10278326,14943793,254840098,29551916,22207234,16076605,11163598,254948430,5746321,5746322,3774930,2709091,2709087,2263072,1313021,1313022,2263121,2263093,2263097,2261215,2261218,2525104,2525105,3774195,4223060,267810052,14915534,20811419,27974993,27974991,27974992,36433835,46286861,40771360,32015299,24454656,18036824,12785340,8691621,5656707,3517583,3517582,3517581,2092164,1203495,1203494,2092162,2097151,1207211,680647,379137,379140,214969,117837,64462 Dl.O(d2) = 64466,64457,64454,68393,126026,228781,407622,720261,1263909,2180844,3648190,5846097,254435883,2180845,2180846,3648194,5846100,8956529,13141370,18497048,256613361,32714879,41620160,51922371,63731118,76834213,90704145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162792, s2 = 14165001, dlinesl.size( ) = 2 s1 = 14162792, s2 = 14165001, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162792, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 8018935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13166285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13199359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7631174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7631174, s2 = 13657440, int(edited[s2]) = 0 s1 = 7631174, s2 = 13657440, d1 = 0, d2 = 0 Dl.O(d1) = 55227406,270134805,58141924,46774091,46774090,36896043,255814211,15218019,255814209,20032235,14349179,14349178,20032233,20032519,14349379,14349380,20032522,20033159,20033161,26917686,34998349,26917467,20033002,14349733,14349732,255738333,20032296,14349228,14349227,14349353,14349860,14349858,14349343,14349342,14349724,20032990,26917458,34998855,44377241,52355708,60374773,48978152,256458269,23057241,23057240,16810321,11755084,7848708,4982173,4982174,7848710,11755088,16810330,23057256,30465823,23057251,23057239,16810319,11755082,11755081,16810317,23057234,30465814,39055915,48978149,258190555,60374769,60374770,73114662,83716369,86721753,100697046,99092128,85170005,71605309,58885742,47506747,47506748,47909216,37993091,37993090,47909215,59303867,72039777,85627890,85627886,269335878,47909213,47909214,59303865,258736937,99578019,102184320,88192579,88192580,102184321,116246592,130157755,143488453,156026438,167635189,178097813,187334898,195374691,263098330,184775158 Dl.O(d2) = 55227406,270134805,58141924,46774091,46774090,36896043,255814211,15218019,255814209,20032235,14349179,14349178,20032233,20032519,14349379,14349380,20032522,20033159,20033161,26917686,34998349,26917467,20033002,14349733,14349732,255738333,20032296,14349228,14349227,14349353,14349860,14349858,14349343,14349342,14349724,20032990,26917458,34998855,44377241,52355708,60374773,48978152,256458269,23057241,23057240,16810321,11755084,7848708,4982173,4982174,7848710,11755088,16810330,23057256,30465823,23057251,23057239,16810319,11755082,11755081,16810317,23057234,30465814,39055915,48978149,258190555,60374769,60374770,73114662,83716369,86721753,100697046,99092128,85170005,71605309,58885742,47506747,47506748,47909216,37993091,37993090,47909215,59303867,72039777,85627890,85627886,269335878,47909213,47909214,59303865,258736937,99578019,102184320,88192579,88192580,102184321,116246592,130157755,143488453,156026438,167635189,178097813,187334898,195374691,263098330,184775158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7631174, s2 = 13657440, dlinesl.size( ) = 2 s1 = 7631174, s2 = 13657440, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7631174, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9371082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9371082, s2 = 11660271, int(edited[s2]) = 0 s1 = 9371082, s2 = 11660271, d1 = 0, d2 = 0 Dl.O(d1) = 204942,373839,254140963,2078095,3497226,5628355,8653218,12734234,255601325,17969285,24364946,31892969,40601831,31892965,31892966,34626959,43899243,54642345,66899769,80327267,80327264,80327265,259762919,122933841,136764875,149905523,162117190,173216905,183067527,262841094,183067525,191676054,199078717,191676051,191676050,199078715,263994406,210524797,264580674,221175847,223684134,222346196,219577563,216299639,212345508,207505700,201633948,201633947,201633950,194656746,186509902,177162322,262302307,154889835,165591524,153809728,141136046,141136041,127778909,113904091,99885531,99885532,113904094,127778912,261727725,165591519,165591520,176267997,176267998,176267999,185720048,193963302,201025836,206980767,201960147,262567560,186957798,195042680,263426884,212575960,207778906,207778905,264123090,219246962,216496591,216496592,219748746,216496594,214118137,209686130,204284459,197810201,197810200,204284457,204284460,197810204,197810203,190211332,190211331,181410509,263370463,181410512,171390788,160171898,147923594,134804796,260705372,92450342,258868866,46741851,46741852,36860265,28362078,28361940,28361941,28362332,27102390,27102391,21013474,21013473,21013471,15092274,10409043,6861433,4306160,4306159,6861430,10409038,15092263,21013456,27102400,35191320,31404257,23912786,256371004,20033077,14349780,9859494,9859495,14349781,20033079,26917577,256738143,257903575,67571082,81039955,95098392,109353174,123545547,109353185,95098395,81039957,67571086,67571085,259153189,109353183,123545559,137278018,150320103,137278006,123545550,123545551,109353177,109353178,123545553,137278009,137278015,123545556,123545557,137278017,150320113,162455984,173496398,183299538,273987024,173496405,173496403,173496404,183299548,191870233,263796419,199242422,191870234,183299546,173496402,162455988,150320108,137278011,137278010,150320106,162455986,173496400,183299542,191870228,189556009,180654927,170519936,159178333,146803067,133544446,119669599,105431519,91209360,77289216,64140246,52288252,41947669,33005507,25280565,18707870,13314681,13314682,18707872,23542267,268106065,8146011,5218346,3183242,1862986,1062932,1062931,1862984,3183237,5218340,8145999,12115194,13283028,9066751,9066650,9066652,13282896,18675366,18117997,254888269,8736544,8737165,12848410,18119858,18415360,18415359,18118195,12847389,12847388,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,7927313,254816241,16948084,23221055,30643881,32139309,24557517,24557335,24557272,24557273,30100608,38678158,40916719,51057917,40918545,40918544,39429906,39429907,41447269,51696944,51056638,51056639,51067320,51067318,49306653,39378998,256002678,24829648,24829647,32469024,29635194,22282781,16138560,255461551,255199706,254910990,21971239,15877494,11006025,11006028,15877440,15877442,21971151,29297858,32011415,40767540,268453966,36650644,28174924,28174925,36650647,39486397,40391931,37522102,37522101,47429763,42126143,35195980,27106532,20206157,14499205,14499204,20206154,27106526,268673490,33407249,29297895,29297894,37537170,40306888,50333004,61816491,74608415,88238560,102236431,116330964,130169879,143500603,156038918,167646962,178108904,187343515,195381568,202254092,204505647,198079933,197515387,189859663,189859662,197515385 Dl.O(d2) = 204942,373839,254140963,2078095,3497226,5628355,8653218,12734234,255601325,17969285,24364946,31892969,40601831,31892965,31892966,34626959,43899243,54642345,66899769,80327267,80327264,80327265,259762919,122933841,136764875,149905523,162117190,173216905,183067527,262841094,183067525,191676054,199078717,191676051,191676050,199078715,263994406,210524797,264580674,221175847,223684134,222346196,219577563,216299639,212345508,207505700,201633948,201633947,201633950,194656746,186509902,177162322,262302307,154889835,165591524,153809728,141136046,141136041,127778909,113904091,99885531,99885532,113904094,127778912,261727725,165591519,165591520,176267997,176267998,176267999,185720048,193963302,201025836,206980767,201960147,262567560,186957798,195042680,263426884,212575960,207778906,207778905,264123090,219246962,216496591,216496592,219748746,216496594,214118137,209686130,204284459,197810201,197810200,204284457,204284460,197810204,197810203,190211332,190211331,181410509,263370463,181410512,171390788,160171898,147923594,134804796,260705372,92450342,258868866,46741851,46741852,36860265,28362078,28361940,28361941,28362332,27102390,27102391,21013474,21013473,21013471,15092274,10409043,6861433,4306160,4306159,6861430,10409038,15092263,21013456,27102400,35191320,31404257,23912786,256371004,20033077,14349780,9859494,9859495,14349781,20033079,26917577,256738143,257903575,67571082,81039955,95098392,109353174,123545547,109353185,95098395,81039957,67571086,67571085,259153189,109353183,123545559,137278018,150320103,137278006,123545550,123545551,109353177,109353178,123545553,137278009,137278015,123545556,123545557,137278017,150320113,162455984,173496398,183299538,273987024,173496405,173496403,173496404,183299548,191870233,263796419,199242422,191870234,183299546,173496402,162455988,150320108,137278011,137278010,150320106,162455986,173496400,183299542,191870228,189556009,180654927,170519936,159178333,146803067,133544446,119669599,105431519,91209360,77289216,64140246,52288252,41947669,33005507,25280565,18707870,13314681,13314682,18707872,23542267,268106065,8146011,5218346,3183242,1862986,1062932,1062931,1862984,3183237,5218340,8145999,12115194,13283028,9066751,9066650,9066652,13282896,18675366,18117997,254888269,8736544,8737165,12848410,18119858,18415360,18415359,18118195,12847389,12847388,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,7927313,254816241,16948084,23221055,30643881,32139309,24557517,24557335,24557272,24557273,30100608,38678158,40916719,51057917,40918545,40918544,39429906,39429907,41447269,51696944,51056638,51056639,51067320,51067318,49306653,39378998,256002678,24829648,24829647,32469024,29635194,22282781,16138560,255461551,255199706,254910990,21971239,15877494,11006025,11006028,15877440,15877442,21971151,29297858,32011415,40767540,268453966,36650644,28174924,28174925,36650647,39486397,40391931,37522102,37522101,47429763,42126143,35195980,27106532,20206157,14499205,14499204,20206154,27106526,268673490,33407249,29297895,29297894,37537170,40306888,50333004,61816491,74608415,88238560,102236431,116330964,130169879,143500603,156038918,167646962,178108904,187343515,195381568,202254092,204505647,198079933,197515387,189859663,189859662,197515385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9371082, s2 = 11660271, dlinesl.size( ) = 2 s1 = 9371082, s2 = 11660271, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9371082, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11657316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13288529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13349241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8244994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8244994, s2 = 14258499, int(edited[s2]) = 0 s1 = 8244994, s2 = 14258499, d1 = 17, d2 = 13 Dl.O(d1) = 59345995,58197638,256846989,28453014,28453015,36953430,46831581,58197656,61208474,59627008,48239849,48239850,58833196,58833197,59627091,59345927,59345926,59626810,72361566,61269783,49790914,39771118,31092867,31092865,39771128,47954617,38041077,36953460,36953458,46831447,46831445,58197438,59345866,59345868,49067175,39136958,30538039,23119210,23119211,30538043,39136969,49067190,60470645,59467550,48076874,38164112,29597568,29597570,38164117,46681864,36795956,36795958,42694377,53144913,59345941,59345942,72079706,72361765,70470069,70470066,58833206,47447217,47447215,47447270,37539288,28994036,28994033,37539277,47447250,49067305,39137056,39137055,36796053,28298841,28298839,36796049,46682024,58056283,70774313,60134145,60134146,60615363,49214669,44421941,35047362,26966587 Dl.O(d2) = 54661402,66918020,80344316,94398499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8244994, s2 = 14258499, dlinesl.size( ) = 2 s1 = 8244994, s2 = 14258499, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8244994, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 8241538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8241538, s2 = 10158461, int(edited[s2]) = 0 s1 = 8241538, s2 = 10158461, d1 = 47, d2 = 41 Dl.O(d1) = 256833758,123697184,109505272,95250842,81194546,269304276,92746775,107087175,112263050,126121921,123697196,109505289,95250856,81194558,67729005,257317237,256226019,255334317,2453533,1418437,806903,457210,257742,257747,457231,806945,1418522,2095627,3522499,5663695,8701101,12797942,18052443,18052444,18052476,18052477,24472838,20181507,20181504,20180905,14481480,14479829,14479831,13184705,13184704,18555390,14478331,9961744,6547192,4101690,2453524,2453523,4101684,6547174,9961714,14478295,20179402,25015175,18486052,13133284,8950794,5842239,5842238,8950793,13133283,254473434,9963028,9905368,9905366,14400892,268337461,35053477,32806334,254636868,31488023,31488024,40173045,44432924,255239182,25107419,25107417,25107410,25107411,32809880,35060054,26977025,26977024,20262659,20262661,20262606,20262605,20183823,14481156,9963407,9963406,6548187,6548190,9963429,14481192,20183872,27081716,35170009,44547740,257308106,41279044,41279045,44433765,38665008,30087649,22705745,16501736,16501730,16501734,22705740,20086481,20086479,26972700,20086168,14401239,14401238,9905560,6510538,4079886,4079887,6510545,9905575,13415312,18829093,13415296,13415295,18829086,14400976,9905410,9905408,14400966,20085664,20183666,27081390,27081389,35059160,35059920,26976904,26976903,26976688,20088731,20088730,26976682,20088951,20088950,20182512,27079777,35054713,35054603,35054602,42120330,33164088,255662171,13415349,13415350,18829167,25421833,33164102,25422031,25422029,20089306,14403009,9906460,9906462,14403018,20089329,26977643,256125765,13415289,13415290,18829079,18887507,18887506,256131107,20089535 Dl.O(d2) = 256742927,26973582,26974529,20087365,20087364,26974527,27081380,35169623,44547466,55394551,51610636,51610602,41384514,36890677,28393538,28393539,36890679,255913524,32533992,24889094,18389344,13062061,13062062,268475585,268475587,39472703,37164641,255832641,255832639,30868921,32326201,268277867,18239176,24710964,32326199,30869232,30869228,23440881,23440882,17167173,17167171,23440897,21804615,21804616,17480633,12324830,12324831,17480636,23440847,17167144,17167143,23440499,30868737,33684108,25877706,25877707,30868720,30868721,24722152,24722151,21406011,15418348,10658253,10658252,7038409,4428760,4428762,5733468,5733469,8801833,12937782,18239230,21055611,15421287,15421288,21409744,17480768,12324912,12324913,17480770,23815440,31302016,268406414,23440825,23440823,30869161,25115187,18564581,18564580,17166921,12070696,8117064,8117062,255151691,15421282,10660554,10660550,8325444,5372953,5372954,8325448,7702359,7702358,11571639,16592122,22809546,30200328,38784626,42612550,50507960,40472644,31778006,31778005,256531548,31778011,24265514,17886922,12669497,8603867,8603866,12669495,17886918,20037839,268825349,257762418,90848470,105028190,90848415,76969457,63857732,63857731,76969547,90848475,90848557,90848559,105028222,105028221,257173238,268483770,90853151,76974655,255642874,90979294,77090461,77090462,90979298,77090484,63971734,52147602,52147601,63971732,77090482,270440700,77090429,258314000,72734977,72734978,258164987,48606330,38690855,255933083,268412569,30114842,30114783,30114784,38690674,30114875,30114876,30114946,30114865,22734066,16528169,16528168,22734064,30114862,30114846,30114847,38690757,30114854,22734060,16528165,254792083,7662742,255109883,22734062,30114858,257556101,51334678,51334679,63015473,51334477,41149133,32333967,32333968,41149135,51334481,51334742,41149315,41149316,41149322,32334093,24717896,18244742,18244704,12942024,8804832,254894225,18244708,256079613,41149169,51334530,63015521,258967957,87144254,258827144,257596476,52243885,52243884,64091414,257197096,48966656,48966655,47009717,37122820,28612025,21376542,21376540,24908912,18404317,13072525,8908031,8908032,13072527,18404321,24908919,30612213,23192495,16925477,16925476,23192492,30612211,39208393,49135338,59643452,59643464,48256666,48256665,48277503,55313787,55313788,48966635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8241538, s2 = 10158461, dlinesl.size( ) = 44 s1 = 1057177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9022930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10153005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10153005, s2 = 14163611, int(edited[s2]) = 0 s1 = 10153005, s2 = 14163611, d1 = 26, d2 = 31 Dl.O(d1) = 268289956 Dl.O(d2) = 254593921,5382822,7593195,11423285,7746984,7746985,11612914,7732569,7732570,11611190,12695187,11561969,7695601,4870265,4870261,7695594,11422720,7727457,4903690,4903686,7743734,11417019,11417018,11553965,7687839,4864630,4864629,7687838,7743612,7729477,4892919,4892920,4809376,2898496,1681763,1681766,2898506,4809389,4807438,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709430,2947528,4891223,4871140,4871141,7598590,7598591,9955810,6543395,6543396,9955812,11609651,11609650,16641770,20301482,14568914,254799259,7727969,11608142,10348567,10348566,9954883,6542653,4098994,2452038,2452039,4098998,6542660,9954898,14468921,14469189,14469489,16398400,11439880,11439881,12972833,8830358,8830356,9375738,6141966,3843047,2302709,2302708,3843044,6141959,254938397,255102007,7600643,4808269,254361035,2906366,4823007,7622878,11460328,16448168,22636204,29753084,22392688,16233132,16233133,22392690,268492939,42175453,40472020,31777340,24264928,254615936,12669120,17886458,254242728,22678269,22678268,21194426,15230772,15230770,21194415,28416459,31421734,32838154,32838155,255272274,25895564,19235598,19235597,25895562,30502552,30502554,256106996,53538047,43058459,33999816,26157939,26157938,28082823,20909740,18927120,18927119,24262613,24262614,31640425,28327609,21117490,15170983,10463186,10463185,15170977,19440251,13910787,13910788,19440252,21156091,21156090,21670997,28950837,26144388,19447098,19447097,255526572,40077059,50097862,259503927,258383616,270327004,123567550,109376620,95122949,256412098,67597786,55256231,44408748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10153005, s2 = 14163611, dlinesl.size( ) = 2 s1 = 10153005, s2 = 14163611, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10153005, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 9591586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162632, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6477431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10145121, s2 = 12974518, int(edited[s2]) = 0 s1 = 10145121, s2 = 12974518, d1 = 31, d2 = 14 Dl.O(d1) = 30576713,23159932,16898725,11826100,11826104,7903384,5023898,5023895,7903371,11826104,7903384,5023898,5023895,7903371,11826104,7903384,5023898,5023895,7903371,11826104,11826127,14032983,14032981,19586782,20950270,20950271 Dl.O(d2) = 67709038,55369403,55369404,49215413,49215412,49215416,49215409,39288747,39288748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10145121, s2 = 12974518, dlinesl.size( ) = 2 s1 = 10145121, s2 = 12974518, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10145121, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 6477504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6477504, s2 = 2767841, int(edited[s2]) = 0 s1 = 6477504, s2 = 2767841, d1 = 30, d2 = 43 Dl.O(d1) = 254978395 Dl.O(d2) = 81160513,81160515,67694865,67694866,81160516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8181866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7866167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9691380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13269833, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6583922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6583922, s2 = 7027577, int(edited[s2]) = 0 s1 = 6583922, s2 = 7027577, d1 = 20, d2 = 16 Dl.O(d1) = 256227187,20191121,20191120,24776101 Dl.O(d2) = 261561629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6583922, s2 = 7027577, dlinesl.size( ) = 2 s1 = 6583922, s2 = 7027577, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6583922, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 8059034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8059034, s2 = 14509233, int(edited[s2]) = 0 s1 = 8059034, s2 = 14509233, d1 = 68, d2 = 67 Dl.O(d1) = 44561434,256752942,27094252 Dl.O(d2) = 20195145,255321934,11023776,7298559,4603514,2770228,1606425,1606427,2770237,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050049,3458010,5574443,8579458,267893832,16566153,11547786,11547785,13542533,18978732,22781632,23098833,19819310,14196852,9759322,6416810,6416808,9759318,14086323,9689052,6373212,3999167,3999168,6373219,9689057,14086333,12636663,12636665,14084848,9688225,6372802,3998992,3998993,6372806,9688235,14084863,19650391,15665224,15665225,19591030,17844740,12636679,8579829,5574625,5574627,7344003,4638584,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14509234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14509234, s2 = 8059035, int(edited[s2]) = 0 s1 = 14509234, s2 = 8059035, d1 = 7, d2 = 7 Dl.O(d1) = 7694678,4869572,2934333,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805367,4656775,7371479,7583205,4796473,4796471,7583201,11411522,11428309,7597098,4805654,4805656,4814608,4801285,4801286,7590422,7596519,11427604,13345539,14340804,14340805,11424490,7594277,4803863,4803862,7594273,11424488,7692197,4867760,4867761,7582814,11410969,7742378,4902575,2954862,2954863,4861993,2929802,2929801,4861990,4903744,2955641,1713837,973840,973841,1713841,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1699720,2930419,4810766,7597982,7599563,9116760,7083491,7083490,4800461,4800460,7589151,4815581,2902038,2902039,4815585,5965196,5965195,9116997,7607474,7607476,7606191,4812027,4812026,7606185,11438732,11438160,11433900,11433901,16417899,16426618,16398695,11415180,7586251,4905895,2956867,2956866,4905890,7741438,9955485,6543121,4099287,4099288,267893833,6542875,6542943,4905687,4099201,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,4056429,2768914,2768912,4601896,7296462,7620498,9853405,255321935,22448873,22448871,27094253,256752943,44561433,55409091,264426737 Dl.O(d2) = 7694678,4869572,2934333,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805367,4656775,7371479,7583205,4796473,4796471,7583201,11411522,11428309,7597098,4805654,4805656,4814608,4801285,4801286,7590422,7596519,11427604,13345539,14340804,14340805,11424490,7594277,4803863,4803862,7594273,11424488,7692197,4867760,4867761,7582814,11410969,7742378,4902575,2954862,2954863,4861993,2929802,2929801,4861990,4903744,2955641,1713837,973840,973841,1713841,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1699720,2930419,4810766,7597982,7599563,9116760,7083491,7083490,4800461,4800460,7589151,4815581,2902038,2902039,4815585,5965196,5965195,9116997,7607474,7607476,7606191,4812027,4812026,7606185,11438732,11438160,11433900,11433901,16417899,16426618,16398695,11415180,7586251,4905895,2956867,2956866,4905890,7741438,9955485,6543121,4099287,4099288,267893833,6542875,6542943,4905687,4099201,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,4056429,2768914,2768912,4601896,7296462,7620498,9853405,255321935,22448873,22448871,27094253,256752943,44561433,55409091,264426737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14509234, s2 = 8059035, dlinesl.size( ) = 2 s1 = 14509234, s2 = 8059035, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14509234, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 9669448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9491782, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9142523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9142523, s2 = 9474438, int(edited[s2]) = 0 s1 = 9142523, s2 = 9474438, d1 = 9, d2 = 3 Dl.O(d1) = 53116270,44589880,35209831,27118187,27118188,35209833,44589882,47353562,37446999,37447002,268717462,36649257,44766043,256651666,57872337,48946104,48946103,39023270,30433763,30433762,39023267,48946102,60342943,60342944,73082726,81229706,67763622,55423614,269195125,35197872,27108114,20207545,14500375,14500376,14192937,9977851,9977850,14500377,256228623,44576288,55423615,67763623,258738859,59336889,47945033,38031158,29468526,22133189,16017758,11121569,7376726,7376725,11121567,16017756,22133188,29468525,38031156,33677957 Dl.O(d2) = 97984827,84109923,78462648,65178099,53192402,42742868,33713222,25906807,19245846,19245847,25906811,24188421,17819924,17819923,24188418,31696065,40388782,42415266,33424471,25656379,19037846,13589703,9305101,6095241,6095239,9305099,13589696,19037830,25656368,33424455,42415251,52816907,64732815,77923844,91848074,106046696,113028921,99040181,99040180,257508900,99040185,85698042,72111822,72111821,71543682,60533840,60533841,73278217,81146827,257508902,99647065,85698013,85698014,85698011,73278221,72111801,268940438,38075909,29511559,29511560,28976703,28976702,37520503,47428210,58815066,55341040,55341039,67680731,81146869,84052831,84052830,97923531,260090351,101226943,115305196,129233298,125579813,125579814,138913606,151615164,151615161,151615162,163495228,164190667,152307567,139577915,126202775,112342254,260506533,126202781,128419819,114536518,100506048,86543841,72943917,60204004,60204003,257639252,49900115,39878628,31197339,23708625,19642720,19642719,21245597,15279088,15279090,21245602,23753859,23753860,22729771,16524431,16524430,22729769,18963385,13527789,9258584,9258580,9265411,12268665,12268666,12265525,8283047,5343797,3284303,1931532,1103404,1103405,1931534,3283068,1930849,1930852,1103168,1103165,1930990,3281670,3281669,5338791,254843353,17385327,23708626,31197341,39878630,48405249,38499854,38499853,38499858,38499857,48405317,49900116,61380729,74161245,72524868,59789856,268406048,48277993,48277994,48405300,59789854,48405302,38499841,38499840,48405298,59789852,72524815,86124350,256409086,48405242,268087496,22574226,22574227,255093280,31277487,23791672,17459966,12308739,8313742,5364428,3297785,3297786,5364430,8313746,12308746,17459975,22242286,16105981,11187301,7423012,4690779,2826445,2826446,3160826,5180348,8085040,12025865,17112960,23383677,29590535,29590537,29590519,29590518,38156624,48069064,59459724,51754761,41484457,41484456,51754756,63533576,60571685,49172791,39247630,30651858,23230428,23230427,24044745,24044744,31548216,40234150,50253577,61732015,74513704,84934857,71357889,256435246,80303313,66873989,54616250,43873933,34603699,34603698,43873931,255871198,48040928,38127730,38127731,48040932,39781751,255111728,37318057,254793586,58620512,47227337,47227328,47227329,49934608,39916603,37318295,37318294,37318303,37318302,47227321,52525107,42166725,42166727,47227268,37318245,37318244,46854954,47227334,37318320,28782372,21519046,15507889,15507892,21519050,28782381,37318301,37318222,28782280,21518979,21518980,256333515,256333503,21518871,15507771,10725027,7085944,7085945,255040137,21518873,28782164,37318086,47227134,37318333,28782384,21519056,21519057,28782388,256874751,58620676,71357907,71357908,71357830,58620555,58620556,71357804,84934799,77567174,64398855,52525131,52525130,257931282,47227178,47227179,58620553,71357829,58620697,47227378,47227377,58620652,256299116,37318272,37318274,47227293,58620646,48966410,41710962,32794580,32794578,39841600,255651124,30789903,39392425,49320548,269071810,257771952,58813981,50065756,50065757,46890903,37011828,30789890,30789891,28512871,21292256,21292257,28512874,28512956,21292306,21292307,28512958,23364197,17095225,12008572,8065776,8065777,12008575,15326354,10585688,6983172,4387794,2628629,2628632,4387801,6983186,10585710,15326393,21292341,28513010,37012028,46891126,50065762,61543775,74319958,256414138,40046573,31366278,31366277,40046571,39392429,30789898,30789899,39392430,49320555,40046525,31366253,23871655,255176631,5390842,3314926,3314928,5390845,8352057,12361074,17527252,23871674,31366288,40046585,257653261,58813989,47426913,37519103,28975365,21692847,15652580,10833992,254508037,4510584,7161633,10833990,255141847,23285366,30701248,39261092,257017573,31366273,23871668,255330357,9930348,8352064,8352063,12361083,17527268,23871693,27019013,20128088,20128087,27019011,31364475,40044659,50064005,44480213,35103906,27018829,27018828,24066510,24066509,20127949,14436040,14436035,14436037,17710763,12528281,12528282,17710767,24066514,31572221,40259619,50280541,55326288,44480216,35103908,35103909,44480218,35104128,27018992,20128072,14436134,9930394,9930393,14436131,20128070,27018988,35104122,35103929,35103928,44480234,36712262,28219605,28219606,36712263,31785260,31785259,40479645,31785262,24272419,24272420,31785264,31785269,35104070,35104071,44480379,256511521,23737306,17412408,17412407,23737303,31221111,39898003,31221164,23737329,17412420,12271304,8286584,5345826,3285436,1932160,1932159,3285433,254589445,12271293,17412396,256006795,27134822,35229168,30914502,23477673,17195224,17195223,23477670,23871687,17527262,12361081,8352061,8352060,255176635,23871683,256231035,27134826,35103840,35103839,39525044,35104078,35104079,44480390,257552846,30736125,23316717,23316716,30736123,39333907,44610092,35229152,27134806,20228542,20228543,23477685,17195232,17195233,23477687,30914518,39525009,44610071,44610070,55458504,258542317,81267879,259171155,101233645,87233248,73611823,60861691,49458682,39525028,30914534,23477700,17195241,17195242,23477701,30736334,30736160,23316917,23316918,30736426,39334210,39334212,269371603,30914528,256492587,49458673,49259298,39334284,39334240,30736371,23316877,17052900,11962816,11962815,17052897,23316872,30736359,255977345,17052932,17052934,23316769,17052830,11962786,8007862,5097796,3094223,1807913,1032598,1032599,1807920,3094233,5097810,8007883,11962735,17052732,11962831,11962830,17052921,23316925,23303136,17042710,16660090,11627410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9142523, s2 = 9474438, dlinesl.size( ) = 2 s1 = 9142523, s2 = 9474438, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9142523, Dl.E( ) = 10, 1.31e-05 seconds used appending s1 = 6584164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6584164, s2 = 15282644, int(edited[s2]) = 0 s1 = 6584164, s2 = 15282644, d1 = 80, d2 = 49 Dl.O(d1) = 256229592 Dl.O(d2) = 170990255 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7554736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6442550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9359548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6477914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1065907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9333607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164050, s2 = 6633418, int(edited[s2]) = 0 s1 = 14164050, s2 = 6633418, d1 = 13, d2 = 17 Dl.O(d1) = 78339122 Dl.O(d2) = 256758819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164050, s2 = 6633418, dlinesl.size( ) = 2 s1 = 14164050, s2 = 6633418, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164050, Dl.E( ) = 28, 1.12e-05 seconds used appending s1 = 1066522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1066897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9142201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1068140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1068140, s2 = 2542587, int(edited[s2]) = 0 s1 = 1068140, s2 = 2542587, d1 = 17, d2 = 18 Dl.O(d1) = 27220381,254755826,10019727,10019728,14561111,20291880 Dl.O(d2) = 72130122,59399623,48012099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1068140, s2 = 2542587, dlinesl.size( ) = 20 s1 = 792203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 792203, s2 = 14165798, int(edited[s2]) = 0 s1 = 792203, s2 = 14165798, d1 = 1, d2 = 1 Dl.O(d1) = 20306565,20306566,27236370,35359165,44783006,55690491,68088410,81578178,95611706,109815098,261569915,137631575,150628060,262590047,183508659,192055783,199409608,205631972,210779693,214984462,214984452,210779686,210779687,214984454,218442613,218442612,221347664,221347660,264931139,273962899,199409605,264138799,210779682,214984440,218442597,221347639,221347669,221347652,218442607,214984446,214984447,218442609,221347655,223835554,221347642,218442601,218442602,221347644,223835556,265517329,223835563,225992024,223835569,221347671,264931147,210779691,205631971,205631972,210779693,214984461,218442620,221347677,223815340,264010930,273196064,261360728,183463410,173677550,162656149,150536900,258326998,257130082,95342442,81285285,67818240,55475978,255219004,35242520,44626033,37963079,29398805,22068370,22068369,29398804,29378683,29378684,30283551,22885774,16657043,16657044,15018928,10346670,10346669,15018926,15950441,255882995,37948893,34656644,26665087,26665086,29623716,23760945,23760946,18126573,18126572,21053849,18631332,18631331,25192569,32903467,33247627,25497011,18891934,18891933,21051610,15121210,10429740,10429739,15121208,18946984,13510256,12853392,8740674,8740673,12853390,18126634,24566711,32150043,40927495,51067994,62696911,75640890,89401838,103495663,117625976,123784060,109595415,95342441,81285284,77500397,64336027,52468392,42115911,33161621 Dl.O(d2) = 20306565,20306566,27236370,35359165,44783006,55690491,68088410,81578178,95611706,109815098,261569915,137631575,150628060,262590047,183508659,192055783,199409608,205631972,210779693,214984462,214984452,210779686,210779687,214984454,218442613,218442612,221347664,221347660,264931139,273962899,199409605,264138799,210779682,214984440,218442597,221347639,221347669,221347652,218442607,214984446,214984447,218442609,221347655,223835554,221347642,218442601,218442602,221347644,223835556,265517329,223835563,225992024,223835569,221347671,264931147,210779691,205631971,205631972,210779693,214984461,218442620,221347677,223815340,264010930,273196064,261360728,183463410,173677550,162656149,150536900,258326998,257130082,95342442,81285285,67818240,55475978,255219004,35242520,44626033,37963079,29398805,22068370,22068369,29398804,29378683,29378684,30283551,22885774,16657043,16657044,15018928,10346670,10346669,15018926,15950441,255882995,37948893,34656644,26665087,26665086,29623716,23760945,23760946,18126573,18126572,21053849,18631332,18631331,25192569,32903467,33247627,25497011,18891934,18891933,21051610,15121210,10429740,10429739,15121208,18946984,13510256,12853392,8740674,8740673,12853390,18126634,24566711,32150043,40927495,51067994,62696911,75640890,89401838,103495663,117625976,123784060,109595415,95342441,81285284,77500397,64336027,52468392,42115911,33161621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 792203, s2 = 14165798, dlinesl.size( ) = 2 s1 = 792203, s2 = 14165798, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 792203, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1070707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9424478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9424478, s2 = 9672279, int(edited[s2]) = 0 s1 = 9424478, s2 = 9672279, d1 = 23, d2 = 19 Dl.O(d1) = 9851687,6471187,6471188,9851689,255321647,26904519,34984796,40953455,32173832,24587728,255220141,12865686,18143179,24587726,23565967,23565970,29170381,29170382,37730746,37865524,29296337,29296336,37865517,40599862,31891032,31891031 Dl.O(d2) = 35408141,44833550,55741417,46824209,36946288,28446515,21220394,15251317,254494628,28446512,36946287,46824208,58190283,256305132,74403487,61624740,50142648,50142649,61624741,74403486,86601121,73003628,60268639,48876313,48876314,38956753,38956752,30370610,30370609,22969099,16733204,11690512,11690511,11690505,7796670,7796671,255125727,22969098,256453661,48876312,258809355,73003627,85583979,256984256,47864791,37946371,29381399,22051212,18886385,254796840,6025785,6025786,9203934,13458976,18886388,25490212,22045580,15942615,11063078,11063077,7347829,7338279,7338278,11067201,15947932,15935863,11077890,7345554,4639512,4639514,7345566,11077912,12827553,12827576,12827573,15965007,15965022,22069974,29400517,37964991,47883622,37964987,37964988,47883623,59280179,59280180,72017251,258702270,40869145,270301186 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1071604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340760, s2 = 6542835, int(edited[s2]) = 0 s1 = 10340760, s2 = 6542835, d1 = 24, d2 = 16 Dl.O(d1) = 255661964,15956714,15956713,22061077,18830927,13416621,9173363,9173364,13416624,18830936,17478154,12322951,12322952,17478157,16838079,268611590,7281636,4592122,4592120,7281629,11000124,9916083,255329059,26997932,35082658,32320005,24705617,20352272,14608665,14608666,20352274,24677892,18212844,18212845,24677894,27988358,36447323,29680861,22329497,16183401,11249176,11249175,7467311,7467310,11249180,16183409,22329506,25303241,25303240,33029460,36445424,36500751,36500752,30107483,22726542,16521298,11514042,11514041,9352935,9352936,13658440,18477722,14609161,10052488,6605420,4137698,4137697,6605412,10052465,14609131,20351112 Dl.O(d2) = 255785974,81632452,257388368,81632452,95666005,257998992,71629387,58909060,47528139,37621717,37621718,47528142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340760, s2 = 6542835, dlinesl.size( ) = 20 s1 = 14163122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7654031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6585490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 795788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 795788, s2 = 2857282, int(edited[s2]) = 0 s1 = 795788, s2 = 2857282, d1 = 4, d2 = 33 Dl.O(d1) = 20782979 Dl.O(d2) = 85566594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 795788, s2 = 2857282, dlinesl.size( ) = 24 s1 = 9383536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10166669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1073842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8045747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8045747, s2 = 10347101, int(edited[s2]) = 0 s1 = 8045747, s2 = 10347101, d1 = 0, d2 = 32 Dl.O(d1) = 8967081,8967082,13155787,18515962,256101115,41653047,257382796,36421599,46274201,41653060,32743333,32743334,41653058,36421532,27963250,20801103,14907374,14907375,20801109,27963256,27963348,27963347,20801172,14907415,10249948,6734670,6734671,10249953,14907424,20800765,14907161,10249809,6734595,6734594,10249806,14907157,20800754 Dl.O(d2) = 39051344,257236976,51960228,41653050,32743321,32743322,41653052,46274275,256162098,21507222,255840787,37300220,47206741,268921529,21473595,21473596,28731014,37263064,29324868,29324869,258805497,256903058,38888952,38888953,47974628,52865251,42461405,42461404,38062532,29499660,268221891,16039519,22160814,29499663,256927515,59365046,72098243,72309725,59575028,48188692,38279343,38279344,48188694,259911517,72378494,65947236,65947237,260358361,115733756,268964156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8045747, s2 = 10347101, dlinesl.size( ) = 34 s1 = 9682166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8284175, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13392223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1077954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13206481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7143800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7143800, s2 = 11423340, int(edited[s2]) = 0 s1 = 7143800, s2 = 11423340, d1 = 48, d2 = 22 Dl.O(d1) = 263165488,262247121,263206168,20869618,14967303,10299487,6772039,6772040,254999991,20869624,28037601,36500692,46358669,57707748,70401580,83927792,97786645,97786644,97786645,97786639,83927786,70401577,57707746,46358667,46358666,57707744,70401570,257758640,46358663,46358664,270500192,111709078,97786636,83927785,83927783,97786633,260244375,104950914,260840490,97786648,83927794,259000130,83927793,97786646,111709076,97786629,83927779,83927778,259627352,97786646,111709076,97786629,83927779,83927778,97786627,111709075,125515769,259627350,83927785,83927783,97786633,260244375,104950914,260840490,97786648,83927794,70401584,70401575,57707746,46358667,256101478,20869623,20869624,256811251,57707750,70401575,57707746,46358667,46358666,57707744,57707742,270500192,111709078,97786636,83927785,83927783,97786633,260244375,104950914,260840490,111709091,261050189,125515777,111709087,97786640,259869099,125515771,260840488,259627348,97786626,83927776,70401572,57707743,57707744,70401570,83927780,97786626,83927776,70401572,70401571,83927781,260470693,125515778 Dl.O(d2) = 264275516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7143800, s2 = 11423340, dlinesl.size( ) = 20 s1 = 7130130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7130130, s2 = 800487, int(edited[s2]) = 0 s1 = 7130130, s2 = 800487, d1 = 53, d2 = 43 Dl.O(d1) = 262990696,270585142 Dl.O(d2) = 20875663,20875664,16071607,11160258,11160261,16071615 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1079353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1079353, s2 = 11614930, int(edited[s2]) = 0 s1 = 1079353, s2 = 11614930, d1 = 0, d2 = 52 Dl.O(d1) = 28047713 Dl.O(d2) = 274908409,274899032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1079353, s2 = 11614930, dlinesl.size( ) = 36 s1 = 8026101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8026101, s2 = 14117437, int(edited[s2]) = 0 s1 = 8026101, s2 = 14117437, d1 = 105, d2 = 108 Dl.O(d1) = 22600581,255102091,7601350,11433172,16417335,11615326,7734712,4896951,4796795,2891414,1678219,1678218,2891411,4796785,7583700,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807442,4807497,7599348,11430712,7731007,4894082,2949386,255119041 Dl.O(d2) = 22875924,30273095,38857505,48777642,258179113,86505691,100463829,260643467,128364405,141711548,154360596,166107018,176741724,186151074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8026101, s2 = 14117437, dlinesl.size( ) = 24 s1 = 1079910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8303374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 801970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9165546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6586788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6586788, s2 = 8390935, int(edited[s2]) = 0 s1 = 6586788, s2 = 8390935, d1 = 20, d2 = 35 Dl.O(d1) = 256277070 Dl.O(d2) = 97831377,111755384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6586788, s2 = 8390935, dlinesl.size( ) = 36 s1 = 9355560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8062336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6427683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1405027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9372088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9372088, s2 = 1082557, int(edited[s2]) = 0 s1 = 9372088, s2 = 1082557, d1 = 14, d2 = 10 Dl.O(d1) = 16559957,11542782,11542781,14943769,10278307,6755022,6755023,10278309,14943773,20843546,14990898,10322153,6791483,4258014,4258015 Dl.O(d2) = 28098843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9372088, s2 = 1082557, dlinesl.size( ) = 2 s1 = 9372088, s2 = 1082557, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9372088, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 1082860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1083090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1083090, s2 = 14162721, int(edited[s2]) = 0 s1 = 1083090, s2 = 14162721, d1 = 9, d2 = 2 Dl.O(d1) = 28107556,20931160,15023198,10351082,10351083,254987882,6747260,6747259,6821646,6747824,4228186,4228183,6747812,6778084,6831106,4285728,4285727,5934089,9074130,12412149,8388947,5413323,3327543,3327542,5413319,4247591,2539484,2539485,254482451,9095161,13314435,18707659,25280401,33005327,41947497,50451275,50451274,50258771,50258770,61737078,74518781,88131125 Dl.O(d2) = 98830635,84904467,84904466,98830633,112821655,126678614,126676047,112818949,98827799,84901285,71328049,58594931,47204296,37297137,28763941,21504059,15496306,10716710,7080273,4457726,2677959,2677961,4457730,4457597,2677888,1551157,881870,254098087,279071,497635,881872,1551159,2677891,4457603,7080074,10716403,7080699,7080700,10717321,15496505,15496504,10717822,10717823,15245220,15245219,17827060,17827061,24196233,28764197,21504308,15496499,15496498,21504307,25381304,18796554,13389715,9153619,9153620,13389718,18796559,16787202,11737763,11737764,15496951,10717220,10717219,15496949,21504823,28764710,37297841,39277824,30680906,23264258,17000549,17000548,23264255,28767283,21507087,21507085,28766508,28782296,28782297,37318233,37299978,37299977,38241083,29676305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1083090, s2 = 14162721, dlinesl.size( ) = 2 s1 = 1083090, s2 = 14162721, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1083090, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 1406587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346744, s2 = 11061228, int(edited[s2]) = 0 s1 = 10346744, s2 = 11061228, d1 = 39, d2 = 47 Dl.O(d1) = 257393492 Dl.O(d2) = 19590766,14036451,9650674,6345418,3981097,3981098,5574002,4815000,2901706,1683388,254241685,4814993,7610799,11444652,16429485,267791320,30542370,23577783,17266117,12145748,8175566,8175567,12145750,255103814,14036801,9650881,254787562,19591242,16404233,16404234,22586834,29950534,34273510,29943583,22580447,22580448,22780669,30169526,28315028,21104907,15160020,15160018,16646522,16646520,21481231,21481232,17841187,17841186,16399543,11416012,7586976,4798892,4798893,7586981,11416025,16399570,22582053,22887093,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638206,9693482,9693483,14093486,19661714,26395833,28314952,21104806,21104807,21607105,16052176,11145789,7392753,7392752,11145785,11111449,11111450,16005017,22118233,29452079,30185038,255113470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346744, s2 = 11061228, dlinesl.size( ) = 36 s1 = 1083973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 805303, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8053956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8053956, s2 = 11400848, int(edited[s2]) = 0 s1 = 8053956, s2 = 11400848, d1 = 32, d2 = 24 Dl.O(d1) = 268292070,10393896,10393897,9093623,5949165,5949167,7774708,6746766,4227535,2528173,1457004,824950,465879,465881,824955,1457012,2528185,2527660,2527661,4227329,6746420,10266806,6776487,6776488,10304599,13323792,9103664,6263952,3921556,2347459,2347460,3921558,5954379,5921134,3702485,3702488,4242752,3179556,1861172,1861171,2542782,2542781,4253453,6785069,6802174,4265790,2550400,1469185,1469184,831114,831113,1469201,2550442,4265861,6802277,10334345,6802219,6802220,10334487,10984748,7271112,4585392,4585391,7271108,5374190,5374189,8326946,10268211,6747577,6747578,6832377,6832378,10370255,15043045,20951875 Dl.O(d2) = 95158337,84892349,269296238,47193567,47193566,58584933,67634754,55296712,44452124,44452123,55296704,67634740,55296772,44452159,44452158,46932482,47193643,47193644,57727811,46377548,36518306,28053653,26992698,26992699,35077171,44452143,55296741,67634718,55296690,55296688,46405539,36544134,28076238,28076236,36544128,46405524,57756325,47193568,47193566,58584933,67634754,55296712,44452124,44452123,55296704,67634740,55296772,44452159,44452158,46932482,47193643,47193644,57727811,57727812,70422734,72633636,59891520,59891521,57756330,261055455,151612129,163492210,263062829,192457758,199743582,205905239,199743579,263548484,174335964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8053956, s2 = 11400848, dlinesl.size( ) = 2 s1 = 8053956, s2 = 11400848, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8053956, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 9098494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9098494, s2 = 13537486, int(edited[s2]) = 0 s1 = 9098494, s2 = 13537486, d1 = 38, d2 = 36 Dl.O(d1) = 25259255,18687717,13294399,9076462,5935819,5935820,9076463,254736963,2678967,2678969,4459493,7083216,5949492,3720581,3720579,5949490,254913103,14976198,13560869,9284441,6082016,3805760,2279764,2279765,3805761,6082019,9284448,9535838,6255663,6255664,6092505,5038123,5038125,7063201,6110136,6110138,6082126,3805921,2279835,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3806045,2279870,2279867,3806032,6082617,6119067,3828538,2293748,2293750,3828540,2343953,1357760,774017,439507,254114985,1357761,2343956,3915810,3915807,3915808,6255230,9535265,9535264,13895761,19422136,26115398,33952244,36612610,28138994,20960940,15051616,15051617,20960941,28138995,36612612,46478839,49921849,61401632,74181678,87786185,87786183,87786182,74181677,61401631,258872679,87786189,87786188,101759443,115805897,129705004,143036007,155586308,167218281,166936348,155252903,142617266,129247227,115319260,101240802,87240360,259475383,60868095,60868094,73618630,87240362,81299830,257924335,44642322 Dl.O(d2) = 73325583,73325584,73325589,86935513,100917171,114970782,126474858,112606001,112606002,105360982,91141855,77225927,64082449,52236266,41900182,256109409,18670603,18670602,25240281,32961785,41900171,32961789,32961790,41900179,52236259,64082439,77225908,259636631,105360975,119592889,105360978,105360976,91141852,77225926,77225925,91141850,105360974,105360944,259009227,64082438,64082439,77225908,259636631,105360975,119592889,119592893,133457933,133457912,260253261,105360945,259700414,128873224,133457927,272028156,170403437,171433505,160213646,147962141,134840925,126474861,114970793,114970792,128873216,128873201,114970779,100917170,100917171,114970782,126474858,126474857,139846333,258443306,112606020,98610883,257234004,114970828,100917221,86935563,258395040,60581857,73325619,86935560,100917181,86935535,73325599,64082433,64082434,77225898,91141825,86935588,259452309,100917245,112606021,260910593,78441432,92478644,106785944,106785943,272028163,134840927,142225358,128873222,114970802,100917196,86935536,86935537,84686091,269780047,47031797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9098494, s2 = 13537486, dlinesl.size( ) = 18 s1 = 13231275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8173482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8173482, s2 = 8039639, int(edited[s2]) = 0 s1 = 8173482, s2 = 8039639, d1 = 1, d2 = 1 Dl.O(d1) = 261064046,174460752,184109989,174460764,163623930,151748573,151748574,163623933,174460769,259883018,125706795,111889071,97951481,84077654,268199360,255371034,20964140,15054434,10380238,6840244,6840243,255009011,20964132,28142444,36616286,37925889,29359754,29359755,37925889,31668805,24159323,267971996,8544341,254234054,7559674,7559677,9966438,11361735,7548494,5238391,3197664,3197665,5238398,8169275,7305336,4609738,2775356,1609927,1609925,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559556,7559610,5262029,3217284,3217288,5262041,6524699,6524698,9927773,14432493,20124242,23605200,17292133,12170928,8202935,5274004,5241313,5241308,8172177,12142852,11373065,7555635,4777803,4777802,5314424,5292540,5292541,5271521,5271522,8200755,12168832,8200750,8200749,12168827,17289785,22521886,17284221,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541299,11349329,16312347,22479134,22479136,22774115,22492310,16318954,11353495,7543639,4771374,4771373,7543636,7543641,7543642,11353499,16318956,22492312,22474300,16310652,11348309,7540803,7540804,7540825,7540826,11348352,11353601,7543690,4771399,4771398,7543685,11353582,16306245,16306244,22476748,22473920,16304066,11344134,11344135,16304069,21105011,15160100,11544383,11544381,16316989,16316922,16316923,22478083,267907292,7539692,7539673,4769379,4769380,2875233,1669077,1669076,1669087,1669088,2875258,4769506,7539925,11346667,16306310,16306311,21298078,28518924,29854535,37016603,38415141,38421783,29854530,22489410,16316513,11351946,11351947,16316516,21296485,16316528,16316527,21105118,15160184,15160182,21105114,254581560,11371834,16343510,22492510,22491437,22491436,22491635,22491637,22530180,22491530,22491531,22696520,22529992,16357377,16357378,22529994,29884065,29840157,22472614,16303010,16303011,22472611,29354238,29354239,23334616,23334617,28517481,23334623,17068380,17068379,16094967,16094968,11179057,7417303,4687323,4687319,7417291,11179038,15105309,10418454,6868050,6868049,10418450,15105303,21030483,16095651,11179457,7417507,4687413,4687410,7417493,11179422,16095581,22229851,29577386,38143590,38143251,29576604,22229134,22229135,28301571,36798445,36798443,39381050,31246156,31246153,254277292,29928244,36798747,36798745,28719869,28719870,22320221,22320222,29671480,24115366,24115365,28301861,21093166,15151225,15151226,21093169,22229405,28315956,23761556,17433861,17433862,23008819,28301851,28301850,28302191,29671514,29577388,25485304,25485302,23364870,17095762,12009032,12009033,17095766,21092412,21092411,255583894,46683560,36798084,28300795,21092304,254530256,25087498,25087499,32785341,28890165,28890164,36797617,36797616,28302038,28300325,21092433,15150742,10448986,6888295,4324413,2587243,2587244,4324416,6888303,10449001,15150767,21092468,28300977,21093278,21091808,21091807,28300154,36797448,46683124,36801548,36801549,36800183,28303250,28303251,29511325,29511326,28300045,28300046,28304470,255530400,15152776,21095401,28304265,22473728,16303916,11344049,11344048,15585741,15152439,15152438,21094926,28303930,22563394,22563393,255543712,255854212,25089908,18544491,18544492,23726574,17402706,17402705,23726573,28304557,21095463,21095465,22524131,22524132,25090300,18544808,18544807,25090295,25087908,20227209,14514776,14514778,15096758,10411956,10411957,15096761,254228508,18543142,254339370,23612322,31096123,39774403,49794119,49794171,46685353,37378207,32787926,25090188,18544717,13176669,13176670,18543726,13176067,13176065,18543720,25088931,23004078,16764462,11716972,7818286,7818287,11716975,16764466,267744530,254165758,28503323,21284917,15321133,10582196,10582198,15321142,21284931,28312010,28312009,29562051,22501022,22501021,21192399,15229102,15229103,15229049,10505143,6927024,6927023,10505140,15229041,21192272,22509853,29869203,31095769,23611971,23611970,29870198,29870199,28414048,28414049,29801581,29801583,29745347,29745346,36808609,29856303,22491726,22491727,29506516,22509706,16336058,16336054,20324557,20324555,27258685,29734954,254566396,11276468,11276467,16221219,22377290,29734952,38302737,32906776,32906777,38960014,38427133,29863972,29863973,256955463,33816656 Dl.O(d2) = 261064046,174460752,184109989,174460764,163623930,151748573,151748574,163623933,174460769,259883018,125706795,111889071,97951481,84077654,268199360,255371034,20964140,15054434,10380238,6840244,6840243,255009011,20964132,28142444,36616286,37925889,29359754,29359755,37925889,31668805,24159323,267971996,8544341,254234054,7559674,7559677,9966438,11361735,7548494,5238391,3197664,3197665,5238398,8169275,7305336,4609738,2775356,1609927,1609925,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559556,7559610,5262029,3217284,3217288,5262041,6524699,6524698,9927773,14432493,20124242,23605200,17292133,12170928,8202935,5274004,5241313,5241308,8172177,12142852,11373065,7555635,4777803,4777802,5314424,5292540,5292541,5271521,5271522,8200755,12168832,8200750,8200749,12168827,17289785,22521886,17284221,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541299,11349329,16312347,22479134,22479136,22774115,22492310,16318954,11353495,7543639,4771374,4771373,7543636,7543641,7543642,11353499,16318956,22492312,22474300,16310652,11348309,7540803,7540804,7540825,7540826,11348352,11353601,7543690,4771399,4771398,7543685,11353582,16306245,16306244,22476748,22473920,16304066,11344134,11344135,16304069,21105011,15160100,11544383,11544381,16316989,16316922,16316923,22478083,267907292,7539692,7539673,4769379,4769380,2875233,1669077,1669076,1669087,1669088,2875258,4769506,7539925,11346667,16306310,16306311,21298078,28518924,29854535,37016603,38415141,38421783,29854530,22489410,16316513,11351946,11351947,16316516,21296485,16316528,16316527,21105118,15160184,15160182,21105114,254581560,11371834,16343510,22492510,22491437,22491436,22491635,22491637,22530180,22491530,22491531,22696520,22529992,16357377,16357378,22529994,29884065,29840157,22472614,16303010,16303011,22472611,29354238,29354239,23334616,23334617,28517481,23334623,17068380,17068379,16094967,16094968,11179057,7417303,4687323,4687319,7417291,11179038,15105309,10418454,6868050,6868049,10418450,15105303,21030483,16095651,11179457,7417507,4687413,4687410,7417493,11179422,16095581,22229851,29577386,38143590,38143251,29576604,22229134,22229135,28301571,36798445,36798443,39381050,31246156,31246153,254277292,29928244,36798747,36798745,28719869,28719870,22320221,22320222,29671480,24115366,24115365,28301861,21093166,15151225,15151226,21093169,22229405,28315956,23761556,17433861,17433862,23008819,28301851,28301850,28302191,29671514,29577388,25485304,25485302,23364870,17095762,12009032,12009033,17095766,21092412,21092411,255583894,46683560,36798084,28300795,21092304,254530256,25087498,25087499,32785341,28890165,28890164,36797617,36797616,28302038,28300325,21092433,15150742,10448986,6888295,4324413,2587243,2587244,4324416,6888303,10449001,15150767,21092468,28300977,21093278,21091808,21091807,28300154,36797448,46683124,36801548,36801549,36800183,28303250,28303251,29511325,29511326,28300045,28300046,28304470,255530400,15152776,21095401,28304265,22473728,16303916,11344049,11344048,15585741,15152439,15152438,21094926,28303930,22563394,22563393,255543712,255854212,25089908,18544491,18544492,23726574,17402706,17402705,23726573,28304557,21095463,21095465,22524131,22524132,25090300,18544808,18544807,25090295,25087908,20227209,14514776,14514778,15096758,10411956,10411957,15096761,254228508,18543142,254339370,23612322,31096123,39774403,49794119,49794171,46685353,37378207,32787926,25090188,18544717,13176669,13176670,18543726,13176067,13176065,18543720,25088931,23004078,16764462,11716972,7818286,7818287,11716975,16764466,267744530,254165758,28503323,21284917,15321133,10582196,10582198,15321142,21284931,28312010,28312009,29562051,22501022,22501021,21192399,15229102,15229103,15229049,10505143,6927024,6927023,10505140,15229041,21192272,22509853,29869203,31095769,23611971,23611970,29870198,29870199,28414048,28414049,29801581,29801583,29745347,29745346,36808609,29856303,22491726,22491727,29506516,22509706,16336058,16336054,20324557,20324555,27258685,29734954,254566396,11276468,11276467,16221219,22377290,29734952,38302737,32906776,32906777,38960014,38427133,29863972,29863973,256955463,33816656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8173482, s2 = 8039639, dlinesl.size( ) = 2 s1 = 8173482, s2 = 8039639, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8173482, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 323360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 323360, s2 = 14947312, int(edited[s2]) = 0 s1 = 323360, s2 = 14947312, d1 = 12, d2 = 11 Dl.O(d1) = 262839947,156202326,156202324,143673033,143673032,156202315,143673025,130348766,130348760,130348759,143673015,156202297,167797530,178242180,263264955,167797560,261864691,130348772,130348762,116512462,270919433,74785072,61988815,61988814,258916213,102417038,116512460,130348758,261864687,143673002,143673001,156202272,156202334,156202335,167797567,178242147,167797559,156202331,143673035,143673036,262370275,167797526,167797525,178242174,263647871,178242112,178242113,187458862,178242138,167797491,156202262,143672996,143672997,156202266,156202326,156202324,143673033,143673032,156202315,143673025,130348766,116512465,102417041,88416624,74785072,61988815,61988814,74785070,61988816,257101179,31766649,24254628,17877041,12660506,9061556,9061555,13276850,18668443,15891657,11016849,11016847,14086436,14090406,19657679,21821226,15754737,10910921,10910922,15754741,21821232,28996744,30822320,30822321,30589803,23171512,19820643,14197898,9759968,9759970,14094341,14094343,11102203,7362599,7362600,4861116,2929314,2929312,4861107,7682616,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030396,17119374,17119373,254168398,17121493,22202394,23394077,22363965,22363967,24213466,30818061,34637633,29945648,22582704,22582703,29945646,38509328,30822292,23394176,23394177,30818618,254549326,17117584,23389418,17747952,12557859,12557860,8514116,254549324,17748063,21198148,15233750,10508758,6929647,4353662,2607633,2607635,4353675,6929675,7531160,5029314,4452157,4452159,7071405,10703435,15478043,19663539,19663538,26397565,29251454,21930666,19653671,268094664,16883407,11812968,7891242,7891243,11812971,16883411,23143491,28314054,21103706,15159026,15159024,17766105,12572175,12572174,17766104,24129433,30364604,36620826 Dl.O(d2) = 28146974,23625807,17310186,12186171,9077226,9077227,9098659,5953025,3722863,2229094,2229095,3722866,5953031,9098667,13318223,18678785,25249527,32971803,41911214,52248145,64095244,77239507,91155110,98441850,84520204,70956739,58239928,46872244,36993559,28496078,21278773,15316404,15316405,15741883,15741882,11577190,11577191,14556792,14556791,16259400,17545660,12376116,12376114,8383827,5410234,3325855,1955989,1955991,3325860,5410249,6584444,5404339,5404338,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,15305138,17575231,12403422,8382551,5409457,5409454,8382543,12403408,15305620,15305623,21267196,22323252,21267177,15305610,15305611,12396633,8377737,8377736,12396628,17568211,21242238,15274939,15274940,21122297,22518769,20989656,15076436,15076435,15474057,10700488,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,12384307,12384305,13524476,13524477,12088731,12088728,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366799,8608424,5594086,3470633,2058178,2058180,3470640,5594097,8608438,12675938,17895300,17913925,16650582,16650584,17616342,17566608,12395110,12395112,17560527,12389730,8372651,8372649,12389729,16560409,22696823,23709439,17386047,17386046,23709436,22440842,22440841,24296549,21465956,15465024,15465025,21465959,22880225,16651882,12249532,11543159,7679598,7679597,7737962,4899305,2952747,1712321,1712318,2952739,4899283,7737926,11619297,16651622,16651619,17395252,17408925,12268653,9260740,6065427,6065429,7361365,8274444,5339020,5339023,8274452,8273483,5338425,3281493,1930165,1102781,1102775,1930142,3281417,5338248,8273188,12249809,17383583,23706566,18693072,13299997,13289205,9072043,6134336,3837866,3837864,6134331,9364918,9097818,8130095,7774687,7774689,11664031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 323360, s2 = 14947312, dlinesl.size( ) = 2 s1 = 323360, s2 = 14947312, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 323360, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 8044364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8044364, s2 = 14276447, int(edited[s2]) = 0 s1 = 8044364, s2 = 14276447, d1 = 49, d2 = 31 Dl.O(d1) = 268410588,15958555,11075621,7344028,7344027,254897766,22291765,255230942,27031466,255331293,9937429,6531463,4957739,4957738,7815095,11713428,16760589,23000447,30405601,30405589,30405590,38994503,48918424,48918852,43048943,43048942,38994855,38994853,257578891,46487486,36620948,255797751,20968708 Dl.O(d2) = 6843720,4294242,3708312,3708310,3709938,3709936,3707952,2220541,1288166,254202489,3707947,5930138,9068990,5955188,5955187,7670155,11529907,16543203,13290693,9073364,9073363,256110983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8044364, s2 = 14276447, dlinesl.size( ) = 34 s1 = 8061306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6456688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6456688, s2 = 1491832, int(edited[s2]) = 0 s1 = 6456688, s2 = 1491832, d1 = 88, d2 = 8 Dl.O(d1) = 254689408,28157478 Dl.O(d2) = 38157357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6456688, s2 = 1491832, dlinesl.size( ) = 60 s1 = 6493671, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7957013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8244450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162878, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 373070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8038162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8090834, s2 = 7813674, int(edited[s2]) = 0 s1 = 8090834, s2 = 7813674, d1 = 49, d2 = 18 Dl.O(d1) = 64767473,54624148,44811642,35387072,35387070,44811639,52453245,256722922,42100778,42100777,37892894,29324811,29324810,37892890,38640953,38640954,48555733,257286636,52453321,43881820,34610663,34610664,43881821,52453355,64320524,54663602,52377904,42034384,33086908,33086907,42034380,52377896,269776299,40241734,40241733,39974196,33146798,25406495,25406496,33146800,25735921,25735920,25406493,25406491,24312898,17927581,17927582,24312902,21069941,21069942,28272955,36767974,38640911,30066157,22687699,21069923,21069924,22687668,22687666,30066105,38640863,36767922,28272924,21069920,21069919,28272920,36767915,46652565,46652697,36768050,36768049,34608743,28272977,28272978,28272990,28272989,36768029,38640853,43879558,43879559,46652690,53852699,46652592,36767939,28272932,28272931,31771979,28140356,28140354,28273072,21070017,15134838,15134837,21070010,28273061,36768131,46652794,256551520 Dl.O(d2) = 367920,662375,661526,366770,366769,366898,661678,1178329,1178116,661477,661478,661588,366820,200718,200717,366817,367377,367424,201066,109564,109563,200665,200664,267735264,200698,200699,254071160,367285,662417,1178096,662582,662581,1179939,1179953,1179954,1180194,662759,367562,201177,254075784,201355,367745,661644,661486,366743,366744,367256,367257,662388,1179698,662871,662870,662408,367277,200969,109486,109487,200972,366449,367262,367259,366906,201209,201210,367587,662788,662590,661553,366796,366797,367623,201228,201229,367625,662839,1180311,2057270,2056788,2056789,2053604,1178191,661542,366786,366785,661539,1178185,254090788,662791,1180245,1178204,1178203,2053625,3461254,5578726,5578677,3461216,2057188,1180229,1180228,2057159,2057171,3469156,3469159,5591765,8604978,8604975,5591754,3469150,2057164,1180214,1180215,1180781,1180412,1180408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8090834, s2 = 7813674, dlinesl.size( ) = 2 s1 = 8090834, s2 = 7813674, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8090834, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 6515120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6515120, s2 = 5882435, int(edited[s2]) = 0 s1 = 6515120, s2 = 5882435, d1 = 57, d2 = 33 Dl.O(d1) = 255450289,22516572,16343121,11371519,7554606,7554607,11371521,16343123,12139493,12139492,17259521,22475171,16305039,11344705,7538890,7538892,11344711,16305048,16327915,16304333,11344283,11344282,254838588,22485190,16313276,16313277,22485192,22474148,16304251,16304252,16736690,22973207,30374694,38423072,29856848,254761102,16319070,255068188,48330290,48963522,41702841,32787068,25089208,18543928,13176188,8981738,5863871,3660909,3660911,5863875,8981747,13176208,18543963,18543394,13175847,8981961,8981960,13176593,17299073,21093495,15151412,10449354,10449355,15151416,13175958,13175957,18543549,267973324,18543494,18543495,25088630,32786504,36800118,28303189,28303190,28303192,21094318,21094319,25088433,25088434,32786313,39774348,38766591,38766590,38766592,31096588,28335315,28335317,36831829,254744056,40190832,34599913,34599912,38143066,38143065,46683598,48688386,48688356,38766620,30183102,30183103,37431739,37431738,47339648,39502228,38430349,38430351,37290482,37241263,28710491,21455501,15456531,15456533,21455509,28271437,28271435,21614624,21614622,28890743,28868795,22793702,21792501,15733959,10897144,10897145,15733966,15141786,15141789,21079913,23360691,23049720,21634309,15602765,10794029,7131436,7131435,10794028,15602758,21634287,22500854,16326685,11358668,11358666,257535689 Dl.O(d2) = 237460640,266731931,274831177,241006038,240524806,266959404,266731931,238842420,238184002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6515120, s2 = 5882435, dlinesl.size( ) = 36 s1 = 13233593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9431464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9431464, s2 = 9737517, int(edited[s2]) = 0 s1 = 9431464, s2 = 9737517, d1 = 30, d2 = 11 Dl.O(d1) = 258174764,58058345,58056636,46682312,36796297,255807847,6887988,4324257,2587166,2587165,4324255,6887983,255016083 Dl.O(d2) = 184476843,184476841,174865407,164047758,152170020,139445717,126074621,112218557,98240366,84333320,71894455,71894452,59156591,256911913,29269361,29269360,37835402,29269347,21946981,15857663,10991146,10991145,15857662,21946978,29269345,22552089,16375351,16375350,255064833,7275906,255438687,268935569,272549201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9431464, s2 = 9737517, dlinesl.size( ) = 24 s1 = 7965246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7965246, s2 = 6638558, int(edited[s2]) = 0 s1 = 7965246, s2 = 6638558, d1 = 1, d2 = 1 Dl.O(d1) = 254815879,16941258,21122584,28334399,256837297 Dl.O(d2) = 254815879,16941258,21122584,28334399,256837297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7965246, s2 = 6638558, dlinesl.size( ) = 2 s1 = 7965246, s2 = 6638558, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7965246, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10143577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655948, s2 = 6906836, int(edited[s2]) = 0 s1 = 11655948, s2 = 6906836, d1 = 39, d2 = 40 Dl.O(d1) = 77316177,64167967,257185822,34119685,26254816,26254815,22888515,16659729,11627188,11151470,11151468,11314621,7512688,4749129,2862160,1661140,945132,533069,533068,945122,1661102,2862080,4748998,7512451,9367783,6136089,6136086,9367789,9608398,13986817,19534182,26251928,28209864,36700875,33779995,25969754,25969755,26251173,34115741,27247152,20315219,20315220,21130783,28343080,36839852,46722652,58094775,70812082,84371540,98281274,112263231,126122087,139496394,152227143,164114000,174935128,184542036 Dl.O(d2) = 171847764,171847765,181812547,190548009,198088662,198088664,190548011,181812548,171847766,160660943,148399903,259958408,107086515,92745979,78682705,256899520,255428694,19362080,19362079,25860864,25860866,19362021,19362022,25867754,25973398,21529897,15516636,15516635,13849120,9500532,6231417,3901393,3901396,6231425,9500545,13849145,19361989,16388853,13797495,13797493,19297977,25963860,26040497,26040498,33857910,26036667,26036666,33857907,26040639,19362157,13849261,9500623,6231472,3901423,2336601,2336600,3901420,6231466,9500610,9500696,13849370,19361838,19361839,26040329,33862191,33862194,26040567,26040337,19361847,13849015,9500465,6231388,6231387,9500463,13849012,13849393,9500712,6231515,3901452,2336618,1354287,254209639,3901442,6231503,9500688,13849359,19362293,26040766,33862544,39971751,31297554,24060627,17705731,17705730,17363343,17363348,17423896,12280912,12280914,17423901,16087226,16087224,12566768,12559781,8515368,8515369,12559785,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,6869499,10420408,15108001,15108041,11560238,10709820,10709819,13738263,13738262,11560241,11560240,16579865,22796643,22184334,16057447,11149346,11149345,12540121,12540120,17724706,24081954,21559507,15538604,15538603,21559504,28830321,28348298,21135239,21135240,26650258,19836603,14210635,14210634,18931675,13496429,9233601,9233602,13496393,18931640,18931664,17740913,12552804,8510932,5511537,5511538,8512367,12555149,17740967,17740966,24099614,21068372,15133515,10437621,10437623,15133520,17386912,16248225,11296364,11296363,12542091,12542090,17727555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655948, s2 = 6906836, dlinesl.size( ) = 18 s1 = 6589178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1065431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7827578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13240377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13240377, s2 = 9373107, int(edited[s2]) = 0 s1 = 13240377, s2 = 9373107, d1 = 19, d2 = 20 Dl.O(d1) = 98293740,84385039,268396094,46742641,36861141,28362787 Dl.O(d2) = 21650778,15616920,10805300,7139898,4495528,2701046,2701047,4243084,4243085,6769966,10297145,6769962,6769961,8678193,12768028,18015198,24427542,31981374,31981371,24427538,24427539,256566991,50832736,58476512,58476443,257778375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13240377, s2 = 9373107, dlinesl.size( ) = 2 s1 = 13240377, s2 = 9373107, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13240377, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 6680106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8276316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8276316, s2 = 7387635, int(edited[s2]) = 0 s1 = 8276316, s2 = 7387635, d1 = 47, d2 = 39 Dl.O(d1) = 137384829,126139074,259723000 Dl.O(d2) = 266127701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8276316, s2 = 7387635, dlinesl.size( ) = 2 s1 = 8276316, s2 = 7387635, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8276316, Dl.E( ) = 60, 1.81e-05 seconds used appending s1 = 1096034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13200889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13200889, s2 = 10339575, int(edited[s2]) = 0 s1 = 13200889, s2 = 10339575, d1 = 7, d2 = 13 Dl.O(d1) = 3062540,5055279,6873234,10424930,7950125,5056224,5056226,7950131,5079525,5079527,7981145,7987777,7956776,7956775,7954995,7954997,254255952,7938376,5048425,3058466,3058464,5048417,5069110,3072754,1792132,1792131,3072753,5069109,7967270,11910841,11393482,7569928,4787309,4787312,7569950,7449314,4706612,2835297,2835298,4706614,7449340,11226928,16159094,22305118,18226163,12927684,8794443,5728514,3566741,3566742,5728520,8794455,8794609,8794610,12927962,18226628,18226645,12927970,8794612,8794613,12927973,18226652,24695811,29694012,24686740,18226522,18226524,24695361,24695360,32298057,24687077,18220012,12923173,8791205,8791204,12923169,18220006,24687063,32298040,41108522,44807762,35383103,32308219,32308220,40853014,40853015,41121614,51304377,50085216,47405819,37498344,28955728,28955727,37498341,32308954,31380965,31380964,32298522,24687459,18220262,18220263,21674897,15636796,10820784,10820783,8794592,5728589,5728590,8794599,12927943,18226603,24695748,32308870,37571283,29024416,21734641,15686045,15686044,21734636,29024410,37571273,47477162,51304549,41121754,41121753,39128774,30530345,30530344,24695642,18226543,12927909,8794582,8794583,255225107,256077951,28955765,24695796,18226640,12927968,12927967,18226635,24695788,32308919,37498516,28955850,21674916,21674915,28955848,37498512,35049267,26968176,20082911,14399153,9904215,6509678,6509680,9904218,14399158,20082921,26968194,20082934,20082933,267987142,21674908,15636801,15636800,21674903,28955828,37498473,39394001,39394003,48469419,38556726,38556725,31815471,24299783,24299781,31815466,39016128,37148857,37148853,37475586,30427585,23022236,255955855,39016587,48939769,44359481,34982046,34982045,37976890,29840094,29840095,29843538,37015862,28516794,28516795,37015863,29856329,29856328,29351317,22019784,15918387,11040395,11040394,15918381,22019777,22472527,21296523,15329448,11352721,11352719,12139570,12139568,17259620,22476570,16306104,16306105,22475589,254779408,254398810,46755287,46755288,58123909,58124471,254398812,74153220,87152044,87801064,74197808,61419279,49941277,254105480,39923538,39923539,267746030,59284404,47887939,37969528,36877135,28380702 Dl.O(d2) = 254492720,2601348,1500830,254119299,480420,850617,1500827,2601345,2601078,2601075,1621615,922085,519811,291422,291425,519828,331724,182681,182680,270564,270565,480727,480747,480662,270527,270529,480669,851035,850963,480619,270503,270502,480616,850957,1501384,922259,519932,291477,291476,519930,911644,514312,331691,331690,480685,270538,149977,149976,270536,270662,480894,851444,1502142,1058118,254104097,182689,100205,55267,55268,100208,182694,331748,595015,924580,521213,292168,292169,521218,924594,1625891,1625893,2802750,2601735,1501126,1501128,2601739,1625525,1625526,2601753,1622036,1622027,1622026,2603081,4346551,2802586,1625775,1625343,924181,521000,521001,924193,924410,1625706,2802484,2803277,2803162,2803156,2803157,4653109,5189431,3166145,1853470,1853471,3166147,4651427,4651428,3477295,2063279,2063280,254422085,5601192,3476893,3167027,1854044,1058168,1058169,1854047,1621958,1621957,2796245,2065841,2065842,1625816,924480,521165,292144,161603,161604,292148,521172,924491,1625840,2802682,4652289,4652290,7364809,7449905,4707037,4707038,7449907,8101883,11106112,7365892,7365893,5601266,3476969,3476968,5189689,3476862,2062967,2062966,3476860,2063093,2063092,3477016,5601317,267990983,5190423,3166914,1853985,1058132,1058133,1853989,2602082,2602083,3476857,3476858,5601153,8616701,12685705,17906795,18295924,12986624,8840830,8840829,12913948,12913949,18207270,18328681,268015297,5773705,5773706,8858151,8858155,13010754,18145577,18145578,24591057,256078851,18235090,12934387,8799240,5731687,3568839,2127186,2127187,3568845,5731704,8799273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13200889, s2 = 10339575, dlinesl.size( ) = 2 s1 = 13200889, s2 = 10339575, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13200889, Dl.E( ) = 14, 1.31e-05 seconds used appending s1 = 7979882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6527740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6527740, s2 = 11013598, int(edited[s2]) = 0 s1 = 6527740, s2 = 11013598, d1 = 3, d2 = 5 Dl.O(d1) = 255598618,14895086,14895087,19799861,19799862,26607261,34594559,37354386,257122072 Dl.O(d2) = 256001700,5763181,3589701,2140184,1235853,1235857,2140197,3589729,5705229,3550379,2114499,2114500,3550385,5705241,8762112,6005525,3755838,3755839,2249502,2249504,3755987,6005839,9176142,13420956,18837014,19692263,17428772,17428771,15113552,15113553,21041278,26680555,19862597,19862596,19108426,19108427,25742141,255238840,24530468,32106810,32554928,32672701,25009267,25009268,30564975,25946530,19282734,19282732,24638857,32236644,32546547,32285206,25257841,22790985,18835294,18594285,17793555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6527740, s2 = 11013598, dlinesl.size( ) = 2 s1 = 6527740, s2 = 11013598, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6527740, Dl.E( ) = 8, 2.31e-05 seconds used appending s1 = 10143609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9118866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13699475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1098337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1098573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656100, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10136138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6680479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9087849, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14162844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1100479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1100754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1100754, s2 = 10258603, int(edited[s2]) = 0 s1 = 1100754, s2 = 10258603, d1 = 9, d2 = 39 Dl.O(d1) = 28459523 Dl.O(d2) = 206207726,206207729,206207730,273521138,264163536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1100754, s2 = 10258603, dlinesl.size( ) = 2 s1 = 1100754, s2 = 10258603, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1100754, Dl.E( ) = 40, 1.41e-05 seconds used appending s1 = 1100829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1100996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1100996, s2 = 1905281, int(edited[s2]) = 0 s1 = 1100996, s2 = 1905281, d1 = 6, d2 = 22 Dl.O(d1) = 28463593 Dl.O(d2) = 49204867,60605608,73350727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1100996, s2 = 1905281, dlinesl.size( ) = 2 s1 = 1100996, s2 = 1905281, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1100996, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 1101234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8394273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13326619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1101571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1101984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7841770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6745833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6745833, s2 = 1419408, int(edited[s2]) = 0 s1 = 6745833, s2 = 1419408, d1 = 56, d2 = 23 Dl.O(d1) = 258027034 Dl.O(d2) = 36840149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1102646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1102646, s2 = 6745834, int(edited[s2]) = 0 s1 = 1102646, s2 = 6745834, d1 = 17, d2 = 39 Dl.O(d1) = 28487714 Dl.O(d2) = 258027035 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15059330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14041913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 210823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 210823, s2 = 591886, int(edited[s2]) = 0 s1 = 210823, s2 = 591886, d1 = 6, d2 = 6 Dl.O(d1) = 5028811,7910139,7910144,5028570,5028573,5028550,3044072,3044073,5028551,7910129,7910493,5028802,5028803,7910496,11836441,11835171,7909598,7909061,7909059,11834461,15334245,254814527,5028059,5027791,5027790,5028905,7910591,11836537,16913105,23177819,30596685,39193815,39191895,30594584,28524490,23175731,23175553,23175554,30594356,23176880,23176878,28524675,28524676,28524738,28524739,30594429,23175619,16911296,16911295,23175615,21303088,21300377,21300378,28521480,30596676,30596677,28524795,21303104,21303103,256313623,46900271,256313603,21302991,15334217,15334218,268381337,37022473,268381272,58264600,58264516,54610055,46897777,37019383,37019384,28521477,28521476,28521410,28521411,37019379,37022602,46897917,37019552,28521547,21300425,15332334,15332333,21300424,21300438,15332340,15332339,21300435,28521566,37019586,37019572,37019573,46897940,58264585,65184126,65184127,58264545 Dl.O(d2) = 5028811,7910139,7910144,5028570,5028573,5028550,3044072,3044073,5028551,7910129,7910493,5028802,5028803,7910496,11836441,11835171,7909598,7909061,7909059,11834461,15334245,254814527,5028059,5027791,5027790,5028905,7910591,11836537,16913105,23177819,30596685,39193815,39191895,30594584,28524490,23175731,23175553,23175554,30594356,23176880,23176878,28524675,28524676,28524738,28524739,30594429,23175619,16911296,16911295,23175615,21303088,21300377,21300378,28521480,30596676,30596677,28524795,21303104,21303103,256313623,46900271,256313603,21302991,15334217,15334218,268381337,37022473,268381272,58264600,58264516,54610055,46897777,37019383,37019384,28521477,28521476,28521410,28521411,37019379,37022602,46897917,37019552,28521547,21300425,15332334,15332333,21300424,21300438,15332340,15332339,21300435,28521566,37019586,37019572,37019573,46897940,58264585,65184126,65184127,58264545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 210823, s2 = 591886, dlinesl.size( ) = 2 s1 = 210823, s2 = 591886, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 210823, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8187224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10143748, s2 = 14125286, int(edited[s2]) = 0 s1 = 10143748, s2 = 14125286, d1 = 20, d2 = 29 Dl.O(d1) = 1526984,2642741,4408023,254731273 Dl.O(d2) = 259293173,259297858,270804855,193060294,200241513,263494258,193060294,264174483,274087349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10143748, s2 = 14125286, dlinesl.size( ) = 14 s1 = 1105346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1105346, s2 = 7645241, int(edited[s2]) = 0 s1 = 1105346, s2 = 7645241, d1 = 0, d2 = 21 Dl.O(d1) = 28541396 Dl.O(d2) = 256867497,58487674,258057616,270810567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1105346, s2 = 7645241, dlinesl.size( ) = 2 s1 = 1105346, s2 = 7645241, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1105346, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 1105627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7889259, s2 = 10421459, int(edited[s2]) = 0 s1 = 7889259, s2 = 10421459, d1 = 120, d2 = 123 Dl.O(d1) = 2639008,4402932,7004740,10614872,15363541,255827381,269203810,21337224,15363539,15363538 Dl.O(d2) = 153528307,140850351,260276964,99603675,85653720,85653716,72066453,72066454,85653718,99603671,113618799,106046468,91847875,77923654,64732592,52816627,42414881,33423936,33423935,25655758,19037150,13589084,9304683,6095015,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294201,3829310,6120423,9344167,13646023,19082745,19114115,25752218,33391115,25758831,19120143,255684717,22433748,29800156,33424373,33487273,25712566,25626572,19011739,13568900,9290233,6085783,6085784,9290236,13568904,19011743,25626575,25654138,19035205,19035206,25654140,19035270,13587447,13587449,19035280,19037283,19087628,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656691,5857875,6912836,4341730,4341729,6912831,10484770,15201120,21156757,19042495,13593282,13593284,9307696,6582543,6582541,10015229,14555252,14554995,11308411,7507912,4745860,4745861,7507914,11308417,9289012,9289011,13567041,19009299,25623877,33389476,29799807,29799806,38372041,40171627,31486557,23989411,23989410,31486554,33547275,25758496,19119847,19119846,16263902,11307789,255093553,22431314,29797815,22431278,16263867,16263868,21876717,256362481,22711046,16506986,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508054,11308693,11119404,7375318,7375319,11119410,16014891,22129671,29464448,38026594,47940367,268746518,72066450,59332166,59332165,72066455,85653719,99603673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7889259, s2 = 10421459, dlinesl.size( ) = 2 s1 = 7889259, s2 = 10421459, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7889259, Dl.E( ) = 124, 5.48e-05 seconds used appending s1 = 6510570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6510570, s2 = 7932877, int(edited[s2]) = 0 s1 = 6510570, s2 = 7932877, d1 = 6, d2 = 8 Dl.O(d1) = 255398990,15366063,15366064,21340326,28567721,37069980,46949562,58316572,71032482,64401881,52528462,257653296,64401874,256018406,41028147 Dl.O(d2) = 5089392,3088366,1803718,1803720,3088375,5089408,7117214,8022913,7116722,7116723,8073872,8073871,10772091,10772089,7975525,7975526,7939187,5049077,5049076,7939177,11876143,16284508,11325928,7522417,7522416,11325940,7527902,7527901,5136771,3123539,3123540,5136780,7990546,5110986,3103501,3103500,5110997,8022174,11944435,11944436,15575113,254088196,11921216,15571690,16285595,11327222,254129624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6510570, s2 = 7932877, dlinesl.size( ) = 2 s1 = 6510570, s2 = 7932877, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6510570, Dl.E( ) = 38, 2.41e-05 seconds used appending s1 = 1107036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1107036, s2 = 3874862, int(edited[s2]) = 0 s1 = 1107036, s2 = 3874862, d1 = 0, d2 = 2 Dl.O(d1) = 28568614 Dl.O(d2) = 139764101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1107036, s2 = 3874862, dlinesl.size( ) = 2 s1 = 1107036, s2 = 3874862, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1107036, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 8344696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 299944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 299944, s2 = 13712379, int(edited[s2]) = 0 s1 = 299944, s2 = 13712379, d1 = 7, d2 = 9 Dl.O(d1) = 15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457377,30890079,255856602,31032845,39709838,47456011,47456012,50471763,50471762,61966727,73986359,258706250,59179844,47780657,256352668,31032926,23631228,23631231,22263817,16123241,11200035,7431562,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,37856824,47780439,39451925,39451923,39797999,31117381,23630824,23630826,31117390,31137100,23649497,17332554,12207410,12207409,17040249,17040250,23300420,30717765,39316182,49243251,60473516,50477540,47468978,37562002,37562001,37569468,29022954,29022953,33861917,255700859,13848933,13848934,19361693,26040114,32787001,32787000,38236836,29671559,29671558,38236835,48146600,59533801,72267808,76937008,90813042,99646818,113660714,116372222,102283179,99646810,88290779,77600821,64431833,64431831,76937003,88315789,74688317,74688314,88315787,79195498,65833588,53773511,52557231,52557230,43257647,34167362,255712897,19576414,26299385,34167364,43257651,46952723,37072762,37072763,38792823,30208187,256317632,46969123,46969122,47042303,37151889,37151888,47042300,47042304,37151890,28636629,21396656,15410920,15410919,21396654,28636627,37151887,28636634,28582885,21353144,21353145,21353140,15376722,15376723,21353143,28582881,33603773,28153368,23962197,23962198,31456626,38733059,30151274,30151275,37087645,36643616,36643617,39383330,30781421,30781422,28107852,28107853,28710525,28710537,28710536,31869470,24346131,24346129,28710546,21455535,21455534,28710542,29270106,21947644,15858185,10991499,10991500,10991513,7276175,4588732,4588731,7276173,10991510,15858202,21947676,29270152,37836259,42904094,38935784,30349940,22948286,16711547,11670148,7779613,7779612,11670145,10670243,10670242,15434504,21426887,15434520,15434519,21426914,28674835,37197217,47092993,58470763,61270775,49792010,49792011,39928818,33695476,25889287,19229619,13737405,267935927,3858282,3858283,6166086,6166087,6166088,9411285,13737406,19229620,25889290,33695483,42725304,53174897,57683314,57683313,70375452,78442494,92479741,106787075,93520658,93520659,101529380,87571533,87571532,101529378,104417017,104417016,118600937,132440383,145684955,158084545,155347248,155347249,155347262,142755784,129436656,129436657,132440387,118600939,118600938,261393279,158084547 Dl.O(d2) = 261811507,129436652,142755783,155347260,158084544,158084545,155347248,155347249,155347262,142755784,129436656,129436657,132440387,118600939,118600938,261393279,158084547,160214561,262008472,145684957,158084548,169492354,262320695,155347260,158084544,158084545,155347248,155347249,158084552,169492358,166999789,261811511,261811509,155347256,155347259,142755782,129436651,115558808,115558809,129436652,142755783,155347260,164603081,262667427,142755782,129436651,115558808,115558809,129436652,142755783,155347260,158084544,158084545,155347248,155347249,155347258,142755781,129436650,115558808,101529371,101529372,115558811,129436653,129436642,115558800,101529363,87571525,73973290,61194755,49716101,49716100,256496473,23539135,17231144,12113026,8144512,5217381,3182657,3182656,5217379,8144507,12113018,15722731,21781786,17542725,13210505,13210506,13210342,13210344,18589739,16790075,11739796,11739798,15756118,15756116,19224433,21823827,16408845,11425104,10913371,10912378,10912380,15756956,21824138,17197130,17197128,20044741,20044742,18239913,13743921,13743920,10913358,10913357,15724483,15724482,21782158,15723190,10886580,10886581,10886618,10886616,15723249,15723665,21782609,18239864,12938234,8802136,8802137,12938241,18239882,23167235,16904281,15729800,15210521,15210525,15757525,21824870,21780416,21780417,21780440,15756089,10911860,7216692,7216696,7216706,7216704,7375369,7375368,11119485,15756399,15756396,21823348,29130358,29084952,29084951,33703618,37692319,254968928,21822694,21822693,254340942,20058177,20058179,26943589,32744642,37403880,29494548,25475819,25475820,33223851,29130255,21823263,15756344,15756345,21823266,29130260,26937035,26937034,30916696,23479689,17196778,17196776,23479685,23539215,17231192,12113053,8144524,5217385,3182659,1862657,1062747,1062748,1862658,3182661,5217389,8144532,12113065,17231205,23539231,19699308,14124485,9717369,9717370,14124487,19699314,26438678,26666471,19850934,14221826,14221827,19850938,21949730,15859607,15859606,21949728,29188449,29188448,37749719,36472696,28012299,28012298,36472693,267899788,24178750,24102960,267801350,8512409,5511557,3399170,3399171,254193412,9718421,14126031,254080964,12631809,12631811,15280911,17361276,12612778,12612776,17774891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 299944, s2 = 13712379, dlinesl.size( ) = 10 s1 = 14163014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163014, s2 = 1108472, int(edited[s2]) = 0 s1 = 14163014, s2 = 1108472, d1 = 105, d2 = 103 Dl.O(d1) = 74847688,74847687,88483432,257810128,85666499,85666498,99615327,112811465,98820261,98820260,112811464,113447937,127306974,120817074,270277288,140858064,141708485,128360738,128360737,128360736,128360735,127306968,113447932,113447931,127306967,140653129,153332666,165144020,166104516,176739433,179719568,262089336,262235470,261172824,132446548,145690167,142188404,128831235,114931825,100880201,100880202,114931824,100880210,100880211,114931838,128831247,128831264,128831246,128831245,128831263,128831262,128831265,114931852,100880219,258068270,73289425,86900032,100880214,114931844,128831254,142188419,154824003,166528760,177106104,166528762,166528763,166528765,159001860,146639249,133395829,133395830,146639250,159001862,146639251,133395831,119536522,105310451,260252229,133395833,129677150,129677149,143004927,146639239,146639238,133395835,133395834,146639248,133395827,119536518,105310448,91097008,91097007,105310447,119536516,133395825,146639245,159001847,159001846,146639234,133395816,133395817,146639236,159001849,170337944,159001844,154598364,141954211,259008142,114695470,271023394,105310452,119536524,105310458,91097016,77186252,64049129,64049128,52210342,52210341,64049126,77186249,91097013,91097017,259635563,77186260,77186261,77186257,64049133,52210345,41880994,32947053,25228195,25228196,32947054,41880996,257766763,77186245,259008139,77186244,270505269,105310443 Dl.O(d2) = 256310534,67687618,67687617,73253272,67687619,55347906,44501585,44501586,55347908,61378262,61378263,74158708,74158712,74158711,259494809,115780619,129677152,143004928,155553057,154193232,141529674,128171459,114287919,114287920,126416311,270532102,84628978,71065614,71065613,84628977,84628972,71065609,58349338,46979942,37096449,28589836,28589837,37096451,46979945,255275746,58349344,53545580,53545582,65570367,255275748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163014, s2 = 1108472, dlinesl.size( ) = 40 s1 = 6548397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6548397, s2 = 7245671, int(edited[s2]) = 0 s1 = 6548397, s2 = 7245671, d1 = 55, d2 = 70 Dl.O(d1) = 255839872,9940609,14449220,12973366,12973365,18278806,24753671,32372146,257186522 Dl.O(d2) = 265326832,214763081,264495896,273119054,136767417,122936576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6548397, s2 = 7245671, dlinesl.size( ) = 36 s1 = 14162366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9113244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656952, s2 = 7885132, int(edited[s2]) = 0 s1 = 11656952, s2 = 7885132, d1 = 1, d2 = 1 Dl.O(d1) = 257637483,74145282,76935166,63827515,52011719,41700045,256103295,18541476,18541477,21374698,255757916,4417021 Dl.O(d2) = 257637483,74145282,76935166,63827515,52011719,41700045,256103295,18541476,18541477,21374698,255757916,4417021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656952, s2 = 7885132, dlinesl.size( ) = 2 s1 = 11656952, s2 = 7885132, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656952, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13485701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 827346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 827346, s2 = 10981624, int(edited[s2]) = 0 s1 = 827346, s2 = 10981624, d1 = 8, d2 = 6 Dl.O(d1) = 21384651,28620989 Dl.O(d2) = 15400930,10644675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 827346, s2 = 10981624, dlinesl.size( ) = 22 s1 = 10138291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14280163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14280163, s2 = 9661164, int(edited[s2]) = 0 s1 = 14280163, s2 = 9661164, d1 = 20, d2 = 15 Dl.O(d1) = 93370372,79242333,65877881,257263623,34187786,26315938,19590555,270134622,53833829,257045464,26336587,26336586,19608273,14050466,9661438,6353288,6353286,9661435,255304999,26336584,34210339,43308745,53833822,46647067,46647068,37072155,28569431,268611733,36642863,256407078,28569430,28627726,21389463,15405219,10647985,7030566,7030565,10647984,15405217,21389454 Dl.O(d2) = 47029377,47029383,47029384,58401367,71119066,259302059,98608426,112603825,126472875,123550886,109359314,95105111,81047680,67579837,55237689,44387973,44387974,38148127,33612302,25813200,19164390,13685014,255282081,23294130,30710678,256008653,23760631,256513409,49938728,61416758,70911246,62045429,62045430,50552777,50552776,62045438,72971674,72971673,71300518,60234547,60234548,49063757,49063760,60467310,60234563,48840255,256567630,30333471,38919801,48840258,51395602,257146784,47366311,37460943,37460944,47366313,58752265,59516361,59516360,72250526,85842136,259308602,260293122,99794750,112966434,125718344,111900867,97963388,259884311,97963382,84089609,70553045,57851650,57851651,70553046,84089608,70553043,70553042,70553040,70553041,84089607,97963379,97963383,97963384,111900865,261065383,125718340,125718339,111900861,97963380,97963381,111900863,111923716,97984309,84109429,70572851,57871414,46515437,36648167,256036364,40360481,31665829,24156386,254868298,16387736,22568528,256959667,255585664,29523318,38087545,40485982,31790864,25426841,20857955,14956690,10290005,10290004,14956687,20857948,19251234,13817652,13817651,19323434,19421568,19421569,25896993,19236742,13797392,13797391,19210091,19517077,13970810,13970811,19517080,22569932,16388967,16388969,19362050,13849191,9500576,9500577,13849194,19362055,26040530,33689309,26029727,19352495,15516626,15516627,16387743,16387741,16387597,11405532,11405531,16387588,13804270,9466360,9466362,9685969,9685968,14081952,19362354,19362353,19362348,19362346,26040828,29523048,22180496,22180498,25860872,33341649,33341650,26040678,26040679,29522913,22180350,16054167,16054165,22180342,29522908,29523315,29523314,38087542,29523317,22180803,16054545,11147388,254844870,22180807,17834295,17834296,17757602,254413584,5518879,3405542,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,5538743,5538748,7430584,5538739,5538741,254236416,17786055,24153251,31663829,254841776,23682559,23682560,17758832,12566630,12566629,15096435,21019014,24156388,17789392,12591078,12591077,17789391,24156387,31665831,40360484,50216624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14280163, s2 = 9661164, dlinesl.size( ) = 14 s1 = 828413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6457210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14522530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14522530, s2 = 8015541, int(edited[s2]) = 0 s1 = 14522530, s2 = 8015541, d1 = 7, d2 = 7 Dl.O(d1) = 39254297,258205116,21406232,15418517,10658392,10658395,15418523,21406246,28648294,37164911,255578720 Dl.O(d2) = 39254297,258205116,21406232,15418517,10658392,10658395,15418523,21406246,28648294,37164911,255578720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14522530, s2 = 8015541, dlinesl.size( ) = 2 s1 = 14522530, s2 = 8015541, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14522530, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7557532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7557532, s2 = 15282986, int(edited[s2]) = 0 s1 = 7557532, s2 = 15282986, d1 = 22, d2 = 24 Dl.O(d1) = 267883127,10662674,15424074,21413197 Dl.O(d2) = 50312969,40292187,31609210,254325604,12558140,12558141,15593423,10787243,10787244,14928499,16517045,20314686,20314687,20314689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7557532, s2 = 15282986, dlinesl.size( ) = 34 s1 = 13212831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7909393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7909393, s2 = 11099670, int(edited[s2]) = 0 s1 = 7909393, s2 = 11099670, d1 = 26, d2 = 68 Dl.O(d1) = 6884534,10443215,15141754,21061337,15128355,10434427,10434426,15128352,12967715,8826372,8826371,12967710,16100076,11183073,11183072,16100072,15433541,15433539,21425583 Dl.O(d2) = 91497335,91497334,257764322,119957480,133825176,260249428,259026270,101970849,87996223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7909393, s2 = 11099670, dlinesl.size( ) = 16 s1 = 1114687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6574014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574014, s2 = 1115023, int(edited[s2]) = 0 s1 = 6574014, s2 = 1115023, d1 = 0, d2 = 0 Dl.O(d1) = 256119096,15449337,15449338,21445735,28697479 Dl.O(d2) = 256119096,15449337,15449338,21445735,28697479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6574014, s2 = 1115023, dlinesl.size( ) = 2 s1 = 6574014, s2 = 1115023, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6574014, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9088548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6541633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6541633, s2 = 14194052, int(edited[s2]) = 0 s1 = 6541633, s2 = 14194052, d1 = 1, d2 = 1 Dl.O(d1) = 35346352,27223216,20294802,14563638,10021461,10021463,14563641,255759401,255036653,268072167,21456052,28711143,258684619,271774311,84841347,260312334,92501074,78460796,65176549,53190999,42741495,33711824,25905404,255282706,13750198,13750196,13750197 Dl.O(d2) = 35346352,27223216,20294802,14563638,10021461,10021463,14563641,255759401,255036653,268072167,21456052,28711143,258684619,271774311,84841347,260312334,92501074,78460796,65176549,53190999,42741495,33711824,25905404,255282706,13750198,13750196,13750197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6541633, s2 = 14194052, dlinesl.size( ) = 2 s1 = 6541633, s2 = 14194052, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6541633, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1856904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1856904, s2 = 11584632, int(edited[s2]) = 0 s1 = 1856904, s2 = 11584632, d1 = 7, d2 = 55 Dl.O(d1) = 48279150,44410890,269315887 Dl.O(d2) = 229781894,229781895,231222752,232515145,233683310,234745189,235712866,236593055,237395497,237395498,238125039,237395502,236593057,235712867,235712866,236593055,237395504,238125047,238788968,238125060,237395509,236593064,266583649,238125057,238125050,237395505,236593056,266583647,238125049,238788967,238788966,238125055,238125056,238125054,238125043,237395500,237395499,238125041,238125054,237395507,237395506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1856904, s2 = 11584632, dlinesl.size( ) = 2 s1 = 1856904, s2 = 11584632, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1856904, Dl.E( ) = 56, 1.5e-05 seconds used appending s1 = 10176217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7600330, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10140983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9437754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7989428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7989428, s2 = 835001, int(edited[s2]) = 0 s1 = 7989428, s2 = 835001, d1 = 3, d2 = 6 Dl.O(d1) = 46906150,37028950,28530895,268610887,37028949,37028948 Dl.O(d2) = 39399688,47765781,47765780,39280979,39280980,37320733,28784608,21520961,21520960,28784606,37320730,30765793,30765792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7989428, s2 = 835001, dlinesl.size( ) = 2 s1 = 7989428, s2 = 835001, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7989428, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13492133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13492133, s2 = 9689341, int(edited[s2]) = 0 s1 = 13492133, s2 = 9689341, d1 = 4, d2 = 11 Dl.O(d1) = 128361299,114484896,114484895,260183856,141709010,141709013,154358320,165895563,171370104,257705008,134782526,134782525,141708943,128361298,114484896,100459894,100459895,258316066,141461894,128096518,114207943,100175423,261200327,263259428,115188200,129119726,129119727,142497169,155141516,166835247,177383661,176739757,166104894,154358314,154131404,141461890,141461891,129120222,115188196,101109916,87111798,73493105,60744096,60744095,73493103,87111794,101109910,115188189,128361364,128361356,128361357,141709013,154358318,166104829,157488242,155778026,143227448,129898188,129898185,143227442,154358316,141709008,141709007,154131404,141461890,141461891,129120222,129120223,115188228,101109941,87111814,73493111,73280521,60536208,257013639,30613059,23193166,23193167 Dl.O(d2) = 37326143,28789734,28789733,21525602,15513399,10729169,254737733,4463503,4463505,7088979,7862069,4996762,4993849,4989818,3014028,1750794,995611,560522,313847,173570,95496,95495,173584,313882,560589,995717,561562,561463,314406,173895,173894,314399,561448,562026,562027,997804,1640037,932573,932572,1640035,1752177,996628,562163,314827,314826,562162,998004,1753937,3015000,1751519,254249131,4991011,7863276,11777244,16841087,22837806,16616188,16616189,16251535,11298551,11298550,11590087,10832491,10832489,15650329,11298339,7501204,4741642,2857639,1658487,1658488,2857641,4741648,7501214,7868764,11784846,16851200,255962131,30512206,32332347,39109250,49039024,257588345,39126582,30528162,23110191,23110193,24716141,18243111,12940583,8803642,8803641,8781735,8781738,12909364,18200233,24659277,23199003,18243250,18243248,18243159,18243160,24716199,18243157,18243158,18373864,13048747,8888798,8888799,13048749,12861771,8746840,8746841,8754703,8754705,12873369,16929823,11848927,254561187,254251965,1776063,3048575,5034968,7919414,11848956,16929860,23198749,30620314,30528054,23110076,255961831,23106389,16848406,11782558,7866939,4993625,3016948,3016949,4993626,7866942,11782571,16848436,16849522,16849520,15161156,15161157,16851704,11785238,11785237,16851703,23110196,30528169,24716203,18243161,18243162,268468731,32513405,24871280,18373866,18373867,24871282,23109171,23109172,30527040,39125305,30527024,23109163,16850842,268240247,30527034,32332457,30525171,23107619,255911183,22416741,22837834,16616194,11590061,11590058,16616191,22837836,30229905,32513402,24871278,24871279,32513403,41360374,51581671,255911182,39129718,30531204,23112784,23112785,30531205,39129720,49059644,39129716,39129717,49059645,256462792,39130283,30531746,23113224,16854192,11787393,7870814,4996591,4994766,4994767,7868342,11784249,16850368,16850146,254810937,7868248,11784063,16850124,23108370,30526139,23108602,16850318,16850317,23108601,257007383,39103992,30507420,23092532,23092533,30507422,39103996,39485279,39104057,30507461,23092559,16837676,16837677,23092562,30507463,39104061,30528520,30528519,39126874,49056948,49415015,49025675,49025676,49056953,49056950,49056558,39126406,30527966,30500727,30500726,39096712,39124782,30528109,30528110,39126535,39126513,30528096,30528099,39126519,49056643,60460451,49056891,49056890,49054654,49054655,256463208,20147295,254978161,9943098,14452469,20147298,27040294,35127375,31065774,31065773,39743782,40461073,40461075,44069003,44504827,35127486,35127487,34752385,256240774,17269656,12148709,8178352,8178351,12148706,17269650,17269738,12148754,12148753,17269733,23581908,24657957,24657956,256586017,39743748,44069007,34752490,26732688,19897978,19897977,26732686,19898320,19898319,26733248,26732955,19898155,19898153,26732949,34752750,26732871,26732872,34752752,44069419,269626829,50163076,50163075,54869973,67189560,57710699,57710700,70404795,70411944,57717803,46368259,36509956,36509957,46368184,36509901,36509902,46368186,57717715,49280764,49280765,49280818,39353985,39353987,49280821,50608059,46368247,37390745,28850732,21578833,15555457,15555456,21578831,28850726,37390728,47299862,58690516,67640101,55301803,46427425,257396453,70482604,84016509,84900074,84900075,95164881,84016510,84016511,74282904,62107264,58690657,47300008,37390843,37390844,40566696,50608094,62107279,67703418,71326753,71326752,77613840,64445727,64445726,77613838,91332628,77413768,74401497,61622850,50141041,40120088,31440801,31440800,40120086,50141035,61622844,73985846,70555398,70555399,72960119,70555506,70555507,77413793,269766649,46498024,36631212,36631213,46498025,57853988,70555366,84091853,71407976,58673754,47282523,47282522,58673753,71407974,70555356,70555357,61260669,256415320,47282549,256957670,257043985,52637346,52637348,64536095,269342144,70555329,72510232,72510231,73985860,61206518,49727802,39709219,31032270,31032271,39709220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13492133, s2 = 9689341, dlinesl.size( ) = 2 s1 = 13492133, s2 = 9689341, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13492133, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11656824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656824, s2 = 14162755, int(edited[s2]) = 0 s1 = 11656824, s2 = 14162755, d1 = 20, d2 = 31 Dl.O(d1) = 37659687,37659686 Dl.O(d2) = 448688,254083517,139356,252451,448689,792353,1393361,254312623,6405350,9741129,14169583,19782435,19782432,19782433,26586639,34573378,35130915,27045484,20153036,20153037,27045485,35130917,44507507,55353703,67693408,64588943,64588942,72131701,72560359,86158625,100124768,114158598,128048487,141417104,154091089,165860596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656824, s2 = 14162755, dlinesl.size( ) = 2 s1 = 11656824, s2 = 14162755, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656824, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 14163008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13620977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13619545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7589244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6482353, s2 = 9132769, int(edited[s2]) = 0 s1 = 6482353, s2 = 9132769, d1 = 66, d2 = 165 Dl.O(d1) = 255042203,21555274 Dl.O(d2) = 59897630,72639292,72639298,59897642,48503925,257548651,72639304,258219371,60774209,61985863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6484692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1122723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6593062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1123585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8166784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 838459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 322545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8135392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14512675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6543713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6543713, s2 = 14879417, int(edited[s2]) = 0 s1 = 6543713, s2 = 14879417, d1 = 23, d2 = 35 Dl.O(d1) = 255793650,21621860,21621859 Dl.O(d2) = 258199068,111658908,97738143,97738142,111658907,125461429,125461428,125461427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6543713, s2 = 14879417, dlinesl.size( ) = 2 s1 = 6543713, s2 = 14879417, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6543713, Dl.E( ) = 36, 1.12e-05 seconds used appending s1 = 11655546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13195621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6760139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6760139, s2 = 13335248, int(edited[s2]) = 0 s1 = 6760139, s2 = 13335248, d1 = 1, d2 = 1 Dl.O(d1) = 258158987,48520319,48520321,59913720,58829305,47443279,37535287,37535285,47443274,58829302,71556690,85127187,259949415,85127191,85127192,76811111,63709669,51902871,41602991,32700177,32700176,28933159,21655517,21655516,28933155,37474728,37474327,37474328,47381672,58768878,71498339,85070435,87007855,73392416,60645829,257022259,39318370,49245272,47439421,47439422,258080555,58775834,47388680,257465901,269371281,39318384,30720094,23302749,23302750,30720087,30720085,39318374,39318378,49245274,55399135,48843454,268652869,30336733,256995157,60237653,58769249,47382094,47382093,58769246,71498649,85070719,98996319,259945411,122893128,108629015,94342039,87007858,85077088,71505120,60645891,49245325,49245324,60645825,73392412,85124865,71554117,71554116,85077093,71505123,71505124,85077098,269843949,49245283,39318389,30720100,23302753,17042452,11955827,11955826,255528965,30720091,39318380,49245276,60645833,49245281,49245280,60645838,73392426,71498597,58769200,58769199,71498594,85070687,98996093,98996094,112985838,108629016,94342041,80286073,80286075,73392467,60645887,49245320,49245321,258210365,87007908,100533084,86572256,72974494,60237712,48843525,257022267,30720132,23302774,17042464,11955833,8003636,5095399,5095398,8003633,11955829,17042456,23302758,30720104,39318397,39318403,49245296,60645860,71498601,58769201,58769202,71498605,85070692,98996323,112985989,122893131,108629018,94342048,80286080,66856685,269172681,26595856,26595857,29821240,22936025 Dl.O(d2) = 258158987,48520319,48520321,59913720,58829305,47443279,37535287,37535285,47443274,58829302,71556690,85127187,259949415,85127191,85127192,76811111,63709669,51902871,41602991,32700177,32700176,28933159,21655517,21655516,28933155,37474728,37474327,37474328,47381672,58768878,71498339,85070435,87007855,73392416,60645829,257022259,39318370,49245272,47439421,47439422,258080555,58775834,47388680,257465901,269371281,39318384,30720094,23302749,23302750,30720087,30720085,39318374,39318378,49245274,55399135,48843454,268652869,30336733,256995157,60237653,58769249,47382094,47382093,58769246,71498649,85070719,98996319,259945411,122893128,108629015,94342039,87007858,85077088,71505120,60645891,49245325,49245324,60645825,73392412,85124865,71554117,71554116,85077093,71505123,71505124,85077098,269843949,49245283,39318389,30720100,23302753,17042452,11955827,11955826,255528965,30720091,39318380,49245276,60645833,49245281,49245280,60645838,73392426,71498597,58769200,58769199,71498594,85070687,98996093,98996094,112985838,108629016,94342041,80286073,80286075,73392467,60645887,49245320,49245321,258210365,87007908,100533084,86572256,72974494,60237712,48843525,257022267,30720132,23302774,17042464,11955833,8003636,5095399,5095398,8003633,11955829,17042456,23302758,30720104,39318397,39318403,49245296,60645860,71498601,58769201,58769202,71498605,85070692,98996323,112985989,122893131,108629018,94342048,80286080,66856685,269172681,26595856,26595857,29821240,22936025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6760139, s2 = 13335248, dlinesl.size( ) = 2 s1 = 6760139, s2 = 13335248, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6760139, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14162544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8048719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13406229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7601861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6579909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13402669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13402669, s2 = 10583450, int(edited[s2]) = 0 s1 = 13402669, s2 = 10583450, d1 = 133, d2 = 130 Dl.O(d1) = 37519620,28975843,28627874,28627875,37141146,34573708,26586877,26586878,34573713,43845195,46382982,57733092,58814629,47427706,37519966,37519967,37519973,37519709,28976132,21693442,15652965,15652964,21693438,28976118,255986918,23632980,23632945,21693229,21693228,28975833,37519603,36878523,36878524,36878506,28975990,28975991,28975899,28975900,29633700,28976389,28976385,21710171,15667971,15667973,21710177,28975889,21693269,17316974,17316976,21693714,28976509,37519803,37519802,42055263,42055265,46411309,37519776,37519775,37519819,28976524,28976358,21693622,15653081,10834276,7161797,4510688,4510678,4510676,7161780,10834249,15653022,15652929,10834203,7161757,4510665,2710493,2710494,4510668,7161763,10834216,15652950,15461751,15461749,21462109,25281325,21693295,21693294,28975921,37519464,28976179,28976180,28975692,24049755,17696355,12516364,8479381,8479380,12516359,17696346,21693120,15652759,15652758,21693115,21462084,21462085,28718148,28129304,28129305,28975762,21693707,21693708,23479074,21693597,15653064,15652867,15652869,15653006,18708586,25281231,21693217,15652833,10834153,7161735,4510652,4510651,7161731,10834145,15652823,15461761,10690934,10690933,15461757,21462124,18708688,13315626,13315625,18708684,25281341,21693090,15652742,15652743,12516403,8479404,5481039,5481035,8479389,12516388,17696386,15652763,15652762,21462078,15461735,15461733,21462069,28718125,27987845,23479065,17196260,12092065,8131819,8131820,12092072,17196274,13315639,9096310,9096311,13315644,15461807,10690961,10690926,7062843,7062845,7062853,10690943,12092076,12092078,17196284,23479098,28718196,28718197,28718203,37249097,28901909,28901907,36445453,28976363,28975685,21693081,21693079,17696412,17696411,17696398,17696400,24049777,27996456,26383990,19649432,19649431,26383986,22963311,16726753,16726754,22963315,30365260,28718222,28718224,37249117,30916172,23479083,23479082,30365330,25281359,18708699,18708700,15461832,10690970,7062867,4446864,2671541,2671540,4446857,7062858,10690951,15461785,21462178,28718267,21627161,19354833,13842911,13842908,19354828,22672739,22672741,28976366,28976367,28084405,28084404,31350845,28718278,21462187,21462188,20832243,20832242,26383978,20095138,254440832,9909825,254297074,22368541,16214162,14609874,14609875,20353637,27288475,255249082,38156600,38156599,29725034,22368527,22368528,22958600,16722731,11681103,7789273,7789272,11681100,16722726,22722919,22368406,16214069,11271157,11271156,16214064,22368394,24291992,25371083,25371084,33106070,29724985,29629168,29629169,22368355,16214045,11271146,7482044,7482046,11271152,16214058,16214142,22368495,20831667,268140242,33105975,25370964,25370965,18786924,13381085,9146396,5985429,3742676,2240530,2240528,3742669,5985414,9146361,13381025,18786826,16105626,11187052,7422850,4690696,4690697,7422856,11186950,11186959,16105482,16105531,22241737,22242127,29590346,22242242,22241765,17030432,17030435,16105805,16105804,22242109,29590378,29590436,29590360,22242096,22242097,18786745,13380976,13380977,18786751,16105506,11186975,11186976,16105515,21072914,21072902,21072884,15136851,15136850,16105711,13380937,9146318,5985397,5985398,9146325,13380949,18786685,25370897,22241711,16105517,12024854,12024853,17111580,255896757,16105929,11187256,11187257,16105318,16105855,17111669,16105772,11187164,11187163,16105797,22242090,29589719,23382093,17111654,17111653,22241593,16105438,11186932,11186838,11186839,11187096,11187094,16105691,16105380,11186923,7422775,4690658,2826388,1639856,932482,932480,1055930,593706,593704,1055923,1850189,3160539,5179938,8084421,8084294,5179860,4690750,4690752,7422957,11187182,11187208,11187207,12024999,12025000,17111817,22241404,16105272,16105273,11187084,11187082,7422905,7422906,11187156,16105786,22242067,26221310,22241586,22241584,23382306,22241422,16105285,16105284,16105290,16105687,16105685,255189132,29589735,29589734,22241541,16105393,11186897,11186898,16105396,255578486,17111801,16105366,11186878,11186879,16105369,11187234,11187233,16105859,16105858,22242171,29590427,30810750,29589691,22241396,16105763,11187141,11187142,16105765,22242043,29589731,256029936,268115610,23381857,17111467,17111471,17111631,12024884,8084355,5179893,5179896,8084361,12024890,8084437,8084435,12025011,17111829,19054381,13602553,13602554,17111806,255534073,30810748,33446841,30810728,30810729,39415890,49345318,42439872,33446803,25675988,25675991,33446814,37839858,29273569,29273570,29273615,33446833,33447178,33447183,42439900,47774042,42440211,33447153,25676290,25676289,33447147,39804264,35330556,35330555,33365933,25601544,25601542,33365926,42354671,52754052,50334223,40308220,31619883,31619882,40308212,40308226,33446899,33446881,25676031,25676030,33446874,29273661,29273659,37839993,42439994,33447156,33447155,42440222,49892588,49892593,39870452,39870451,37839913,29273607,21950369,15860073,10992720,10992721,15860078,21950382,29273642,37839963,47762322,39415910,39415909,42440191,33447137,33447135,42440182,47991324,38078586,38078584,47453639,37545652,37545651,47453635,50334244,40308234,31619889,31619890,40308242,50334257,58878793,58878794,71599344,258275154,60710030,60710028,59600642,48213150,38302988,38302987,48213147,257071416,85483472,258106306,269802692,60748415,60748414,52529800,52529799,61243125,256990812,39745737,39745730,39415813,30810613,23382056,23382055,30810608,39415807,40308440,40308441,50334461,59459643,48068916,48068918,47991357,38078917,29514282,29514283,38078921,29619376,22268512,22268513,29619382,38186247,38186382,29619468,29619466,38186380,48097889,50334103,48097940,44562940,44562939,55410660,67751296,256979934,72114047,73497353,65175048,65175047,78458296,72113930,59381430,59381429,72113929,59394418,59394417,50334471,50334106,256277000,29619681,29619679,29619718,38078982,29514322,22172718,16048487,11143335,7391265,7391264,11143330,16048473,22172688,16127603,11203385,7433887,7433886,11203381,16127593,22268586,29619498,38156401,38156404,38186257,47991776,38186526,29619552,22268617,22268618,29619558,38186412,38186411,31620007,24114623,24114624,29619537,38186506,29619568,29619566,38186451,38186200,38186198,38186745,38078846,38078847,29619712,22268697,16127639,11203397,11203399,16127646,22268711,22268723,16127651,16127652,16127663,11203406,11203407,16048463,22172668,29514231,22268553,16127572,11203373,11203372,16127566,22268536,29619425,38186325,38186542,38186405,38186404,48097904,47991749,38186519,29619545,29619544,38186515,48098013,50334428,50334422,50334409,48098343,38186777,38186778,48098347,48098044,48098043,48098520,48098300,38186737,38186739,38186295,38186297,29619665,22268676,16127632,16127633,22268683,29619674,38186766,38186429,38186428,29619772,22268734,22268735,29514216,29514223,38078810,38186289,29619407,22268526,22268525,29619401,29619416,38186307,48097783,48098474,48098472,59486636,58017476,58017478,70732327,61817783,59486707,59381530,47991616,38078838,38078840,47991627,59381543,269877898,258127205,59486653,48097919,48097918,59486651,59381493,59381492,72113960 Dl.O(d2) = 255081462,38596861,38147709,29581800,22651931,16460391,11469088,7628829,4826666,4826667,254540951,4826662,7628820,11469074,16460356,22233972,29581568,22651745,22651744,22651786,30024588,38596899,39352334,30751971,23329705,23329706,30751974,39352338,38596939,38596940,47980674,48511317,48511318,38596835,30024541,22651753,22651754,16460312,11469046,7628806,4826659,4826660,7628814,11469061,16460338,16460293,16460292,22651762,22234565,22234566,29582181,30024767,30024768,38597070,38597071,38597106,30024731,22651887,22651862,22651863,30024696,38597041,48511322,38597182,255457980,48511671,48511672,48511483,48511481,48511681,38597192,38597191,255896042,38147521,38147522,38597117,30024737,30024736,38597115,38148104,38148105,48060569,59451779,60679792,59904941,48511625,38597122,38597121,48511623,59904913,48511594,48511593,256934552,86247317,72645649,59904964,48511664,48511663,48511677,59904978,72645710,86247358,100214843,86247362,80341534,80341533,72645604,59904758,48511354,48511355,59904761,72645608,72645634,66915138,66915140,66916535,66915303,59451705,54658593,54658592,66915190,59904894,59904896,66915288,59904996,54658574,43916124,34643040,34643041,43916130,48060423,48060424,54658610,54658609,66915200,72190003,61902060,50411554,43916190,34643080,26651955,19838446,14212162,9770297,9770296,14212157,19838438,26651942,34643063,34692479,34692478,34643197,26652082,26652084,26652104,26652120,26652119,34643245,43916324,34643273,34643262,26652134,26652133,26652164,19838576,19838575,26652160,24280878,24280877,26653632,19840131,14213500,9771109,9771107,14213496,19840124,26653603,26651867,26651866,34642934,26651857,19838531,19838530,14212227,14212229,19838600,26652206,26651905,19838478,14212176,9770304,6423950,6423951,9770308,14212189,19838495,26652033,26652013,26652012,34640737,26652110,19838550,14212212,14212213,19838399,14212127,14212126,19838163,14212217,9770320,6423958,6423959,9770325,14212220,19838569,26652149,26652044,19838504,14212192,14212193,19838509,26652051,26653621,254964858,34643470,34640725,26649257,26649259,34640730,43914218,43914224,54656968,43914198,43914197,49278970,54656973,43914208,34640718,26649250,26649251,34640720,43914210,34643103,26651976,23329745,17063119,11971401,8015451,5103812,254566841,11971393,17063104,23329721,30751983,39352345,40180555,31495823,23998426,17822844,12618962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13402669, s2 = 10583450, dlinesl.size( ) = 2 s1 = 13402669, s2 = 10583450, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13402669, Dl.E( ) = 146, 5.58e-05 seconds used appending s1 = 14162456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9375079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341804, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13271373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 650155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9411393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6550098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 771253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1963850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1963850, s2 = 14104480, int(edited[s2]) = 0 s1 = 1963850, s2 = 14104480, d1 = 34, d2 = 41 Dl.O(d1) = 50541715,41025094,41025095,37610554,37610489,29061228,21765535,21765534,29061235,256896099 Dl.O(d2) = 76352912,63321500,51597705,254424134,32523442,25186496,18626280,18626279,25186495,32896100,41819194,52134965,61824841,50342149,40316928,31629167,24123654,17761655,12568469,12568468,17761654,24123652,31629165,269004065,42323954,33343060,33343061,42323956,52711003,64611346,77794068,91721982,91694177,91694176,105901709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1963850, s2 = 14104480, dlinesl.size( ) = 2 s1 = 1963850, s2 = 14104480, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1963850, Dl.E( ) = 42, 1.48e-05 seconds used appending s1 = 14162432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6644924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6644924, s2 = 11656339, int(edited[s2]) = 0 s1 = 6644924, s2 = 11656339, d1 = 5, d2 = 11 Dl.O(d1) = 256897481 Dl.O(d2) = 15730910,15730911,20077877,20061601,14377274,9883338,6493601,4068883,4068884,4534831,2725932,2725933,4534838,4533012,2724881,2437747,1409530,801862,801861,1409528,2437742,4074149,6501894,9894138,9897803,7144843,4498961,4060522,4060519,6479845,6482545,4062138,254214017,1406601,2431821,4063450,6484646,7643026,4835242,4835243,7643027,255108019,22695711,30076526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6644924, s2 = 11656339, dlinesl.size( ) = 2 s1 = 6644924, s2 = 11656339, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6644924, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 847536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7560874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8019194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1136025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 613218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15068151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15068151, s2 = 11655827, int(edited[s2]) = 0 s1 = 15068151, s2 = 11655827, d1 = 22, d2 = 17 Dl.O(d1) = 191735154,199134589,191735253,191735213,191735211,264122065,205392211,199134638,199134639,205392213,205392182,205392183,264679301,264679299,264122061,191735159,191735158,199134596,205392179,205637351,199415774,199415773,264415760,205392192,199134609,191735176,183129193,173283507,162189766,149982437,136848941,261541289,262072697,149982430,162189754,273832194,264415759,205392219,199134656,191735233,263792515,183129241,183129242,191735232,263425647,162189822,149982478,136848977,123018236,123018235,136848974,149982474,162189818,173283574,183129270,191735257,199134665,205392226,210569945,214799914,264679303,205392188,199134601,191735161,263018319,162189760,262565807,183129186,191735168,191735236,183129244,263018331,162189822,149982478,136848977,123018236,108749286,94456148,80396859,270154544,19874170,255318411,9788554,6435271,4036901,4036902,6435275,5306327,5306326,8234346,12202853,17327870,23644475,269103062,58569133,71301187,84875706,98804337,112796875,126655432,140010288,152706700,152706701,164545983,175311469,183304334,191874290,191874287,183304333,173502007,162462036,150326687,137284926,137284925,150326686,137284928,123552746,109361228,109361227,121035304,106780534,256226756,65154975,53170464,254693002,37291281,33690697,25884095,25884094,20040374,20040373,26925679,23479443,17196581,17196583,23479438,18590077,13210535,9005125,9005124,13210533,18590071,25146095,32852945,33106373,33106372,34979413,30792077,30792076,33703712,33703710,35012190,35012189,37626263,268228502,30725231,39323043,38781868,30197385,30197384,25146343,25146341,32853175,41773894,268233938,35012243,30197386,22806541,16589122,16589121,22806540,16589123,16589124,22806546,18589256,18589257,25145000,30721514,30721515,39319813,32853176,25146343,25146341,32853175,41773894,268233938,35012243,38781869,38781872,38781870,38781871,39028936,39028937,47314993,37406324,28865081,26700618,19879785,14243752,14243751,19879780,25409481,26937176,23341797,21589652,15563715,10764981,10764983,15563719,18433701,13093481,8922590,5822738,5822737,8922584,13093470,18433683,24949207,23034031,23034032,21590200,254545998,10764766,7112533,4478360,2690760,1558817,1558818,2690767,4478375,7112706,8004882,5096116,5096114,8004875,11956553,17043541,23304229,28460016,30723228,25826802,19175149,19175150,25826805,33628825,33628827,33628826,37704101,29143715,29143714,21836025,15766831,15766832 Dl.O(d2) = 4550210,2735178,2735177,4550209,7221816,10919602,7221813,7221814,10919604,15766822,15776254,10928170,7229372,254342811,254342809,7229369,10928164,10931000,10931003,15779694,21835543,21835544,254342644,10928252,10928253,15776333,21835979,21835980,21844512,15774382,10926379,10926383,7230211,7230209,10928956,15777078,15766088,10919143,10919144,14050328,14050327,10929279,10929280,15777612,21848259,29156887,28360304,21145030,21145029,28360302,34210722,34210723,29157968,21849564,15778750,10930084,7230858,4557357,4557356,7230856,10930083,15778763,21849580,15781045,15777466,15777465,21848067,29148148,27248534,27248533,21145081,21145080,28360351,23029669,16787152,11737727,7836703,7836702,9661558,6353353,3986362,3986360,6353347,9661544,14050653,19608555,19607574,19607576,19608537,26336725,21848554,15777883,15777881,21848548,29157138,21852075,21852077,29160468,37720281,34210288,29147645,21848541,21848542,29157129,37717357,30436290,30436291,30436288,23029670,254255264,39025784,41950910,33008626,26694846,26694847,28034950,20867159,19874724,14239754,9788862,254966853,19874718,23322203,30743028,28883430,28883431,37425618,47334073,58722927,48464260,38551661,29982499,22615441,22615440,29284813,37852982,46622444,46622412,46622413,47173841,47173842,46622442,46622443,57998425,70714675,84265697,257614546,84265669,98159329,84265679,84265680,98159335,84265698,84265699,85918469,85884353,72292155,59558044,48171604,40473557,40473558,257193506,52410772,46678271,36792154,30859018,23427876,23427875,30859015,36792156,28295380,28295381,36792158,46678275,58053066,70771465,72171804,59433178,59433179,49453596,49453598,58914135,255660112,50517202,40481794,31787082,24273987,17894141,17894140,24273985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15068151, s2 = 11655827, dlinesl.size( ) = 2 s1 = 15068151, s2 = 11655827, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15068151, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 16315257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16315257, s2 = 13270378, int(edited[s2]) = 0 s1 = 16315257, s2 = 13270378, d1 = 0, d2 = 0 Dl.O(d1) = 260037516,206493477,211488482,262273614,218944315,221791411,224233061,226349992,228194054,229813368,231251292,232541161,265215632,235731260,274469632,237409660,237409661,238137632,238800413,239409653,239972030,240493101,240976741,241423971,266672938,266802148,242905526,243212637,243500531,243767806,267050452,244460281,244509716,244299185,244072597,243828895,243566521,243283828,242981344,242657737,242310951,241936429,241531228,241093386,240621723,240112791,239563899,238969621,238323139,237612984,236832419,235973614,235030271,266437656,232855418,266242192,230197721,266011116,226827181,224770290,222400424,219639264,216370400,212428326,207607982,201762561,194818623,186704807,177388419,263195920,155147151,142502906,129125776,115194042,101116113,87118143,73499538,60750636,49347804,39418353,30813141,23384259,23384258,30813140,39418350,49347801,60750634,60750635,73499536,87118140,85362821,71773220,59030755,47628587,37706320,29146213,21838440,21838441,17056366,15768958,10921342,10921343,15768949,15768950,15768972,10921357,7223230,7223229,10921355,10927924,10927923,15775972,11965526,8009714,5098921,3094836,1808249,1032771,1032772,254255245,2736245,1585557,1585556,2736419,2738881,2738882,4555581,2739149,2739150,4555952,4557648,4557649,7231149,10930336,11913256,15769988,10922324,7224100,4551924,2736326,1585503,254230351,2735954,1585271,901217,254162413,2735952,4551384,7223413,10921547,15769152,10927099,10927100,15775037,21845246,29153876,37714451,269329123,99315142,113318728,112467737,112467736,112467739,98477494,258666299,58277762,46912647 Dl.O(d2) = 260037516,206493477,211488482,262273614,218944315,221791411,224233061,226349992,228194054,229813368,231251292,232541161,265215632,235731260,274469632,237409660,237409661,238137632,238800413,239409653,239972030,240493101,240976741,241423971,266672938,266802148,242905526,243212637,243500531,243767806,267050452,244460281,244509716,244299185,244072597,243828895,243566521,243283828,242981344,242657737,242310951,241936429,241531228,241093386,240621723,240112791,239563899,238969621,238323139,237612984,236832419,235973614,235030271,266437656,232855418,266242192,230197721,266011116,226827181,224770290,222400424,219639264,216370400,212428326,207607982,201762561,194818623,186704807,177388419,263195920,155147151,142502906,129125776,115194042,101116113,87118143,73499538,60750636,49347804,39418353,30813141,23384259,23384258,30813140,39418350,49347801,60750634,60750635,73499536,87118140,85362821,71773220,59030755,47628587,37706320,29146213,21838440,21838441,17056366,15768958,10921342,10921343,15768949,15768950,15768972,10921357,7223230,7223229,10921355,10927924,10927923,15775972,11965526,8009714,5098921,3094836,1808249,1032771,1032772,254255245,2736245,1585557,1585556,2736419,2738881,2738882,4555581,2739149,2739150,4555952,4557648,4557649,7231149,10930336,11913256,15769988,10922324,7224100,4551924,2736326,1585503,254230351,2735954,1585271,901217,254162413,2735952,4551384,7223413,10921547,15769152,10927099,10927100,15775037,21845246,29153876,37714451,269329123,99315142,113318728,112467737,112467736,112467739,98477494,258666299,58277762,46912647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16315257, s2 = 13270378, dlinesl.size( ) = 2 s1 = 16315257, s2 = 13270378, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16315257, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 1091307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 389879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6461139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13279081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 849752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 567339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8215688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7565410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1105432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1105432, s2 = 14747107, int(edited[s2]) = 0 s1 = 1105432, s2 = 14747107, d1 = 3, d2 = 32 Dl.O(d1) = 28542485 Dl.O(d2) = 238618334,238618333,238618338,239243216,239818064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1105432, s2 = 14747107, dlinesl.size( ) = 2 s1 = 1105432, s2 = 14747107, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1105432, Dl.E( ) = 66, 2.6e-05 seconds used appending s1 = 10162624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10162624, s2 = 10341492, int(edited[s2]) = 0 s1 = 10162624, s2 = 10341492, d1 = 10, d2 = 16 Dl.O(d1) = 10437339,10437338,15133111,21067834,19794326,14178496,14178495,19794338,26600513,34587027,33662498,33662499,34076765,29212922,21898813,15819990,10963513,7257110,7257111,10963516,15819993,21898823,29212933,37774732,29212932 Dl.O(d2) = 47695993,47695992,50535078,53120808,42669493,33640313,25837329,255902898,13700284,254773780,25837328,20818010,14921042,10260257,6742278,4224876,2526241,2526246,4224885,6742298,10260289,14921094,16548739,13418807,9174772,7459432,7459435,11238824,16171139,22316180,29666363,29525566,29096037,29096036,37645113,37644308,37644307,46646896,58020101,70734878,84286761,95574720,81544088,68057106,55660149,44751824,41663821,38992235,38992236,47113822,37216702,28691766,21440932,21440930,254734016,10673358,256866929,58480395,71202481,84771848,84771849,98700575,85406348,71817676,59076272,47675861,37753399,29192028,21880201,21880200,29186684,21881875,15806008,10952592,10952591,15806005,21235887,21235889,21880241,15804704,10951601,7248061,4570231,2749003,2749002,4570228,7248054,10951589,15804677,21880200,29186684,21881875,21881874,29193784,29198764,267969526,28270355,21067665,21067664,28270354,28835927,28835928,37376067,36765215,36765216,32823718,32823719,41744674,52059062,46514677,36647216,36647215,46514675,57870757,268110358,41744865,52059258,63878080,63878081,256452154,34656931,26665334,19850077,19850078,26665340,29727440,38294410,29727452,29727451,255118088,28719965,28719964,28078681,20906092,20906091,28078679,23171392,16907931,16907930,23171388,30589658,39187098,49078771,41744995,41744994,38521031,38500308,38294340,38294339,48203720,38294348,29727382,22370635,22370634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162624, s2 = 10341492, dlinesl.size( ) = 12 s1 = 1260746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656190, s2 = 1141670, int(edited[s2]) = 0 s1 = 11656190, s2 = 1141670, d1 = 8, d2 = 10 Dl.O(d1) = 12793668,268458425,27218943,20290379,14559909,10018974,6585164,6585163,10018971,14559906,20290375,20290352,14559894,14559891,20290348,27218902,29235864,21918193,15834373,10972997,7263065,4580478,2756015,1597641,908215,908220,1597658,2756047,4580939,7263972,10974635,15837049,16828724,15836207,10974115,7263688,7263685,7262663,7262664,9181549,9181548,9181538,9181540,7373613,4658226,2806373,2806374,4658231,4580846,4580845,7263750,10974228,7373595,4658246,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598,21917835,15834119,10972840,7262973,7262972,10972835,15834102,15837100,15837099,15833352,15833349,14462770,9950281,9950280,14462764,16012894,16012896,15836117,15833147,10972208,7262647,7262648,10972311,11117099,7373468,4658150,2806330,1628040,1628042,2806340,4658165,7373493,9182045,7263946,7263947,10974590,15836973,17653503,17653500,13429182,11767827,11767830,16828282,18848518,25445580,25444724,18847710,13428634,9181296,9181298,13428387,18847338,25444320,21922861,21922859,24563014,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307 Dl.O(d2) = 4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264659,7264573,7264570,10975609,15838554,21924425,29235862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656190, s2 = 1141670, dlinesl.size( ) = 2 s1 = 11656190, s2 = 1141670, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11656190, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14162738, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 892897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13418803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 535848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343424, s2 = 8485677, int(edited[s2]) = 0 s1 = 10343424, s2 = 8485677, d1 = 18, d2 = 33 Dl.O(d1) = 257180966 Dl.O(d2) = 58144627,46777042,46777043,255814514,28290193,21083752,15144478,15144480,15220413,15220415,18881725,25484483,33233142,42193198,255704420,46798061,268275998,48801170,38878812,256047564,36786773,46672827,38121477,33231268,25512925,25512924,33273390,42252826,37442456,28902891,27275943,24677705,18212668,12917793,10262751,10262753,14924587,10269977,6748875,4228837,4228838,6748878,10269984,14933331,20831738,259864939,262888623 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1146165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 623830, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1146857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1146914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1146922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1146922, s2 = 10348687, int(edited[s2]) = 0 s1 = 1146922, s2 = 10348687, d1 = 0, d2 = 13 Dl.O(d1) = 29331503 Dl.O(d2) = 37900126,257497071,273117192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1146922, s2 = 10348687, dlinesl.size( ) = 2 s1 = 1146922, s2 = 10348687, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1146922, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 1147118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8060291, s2 = 7992995, int(edited[s2]) = 0 s1 = 8060291, s2 = 7992995, d1 = 21, d2 = 18 Dl.O(d1) = 16827337,23079537,30493200,257004725,60423525,73170276,257451640,40929120,37919875,29352231,22020909,15919734,11042135,11042134,15919731,22020902,22889104,19304805,13803016,13803015,19157135,256116294,16660220,11627482,11627483,16660221,22889154,30286965,36700933,30212416,22820464,16600782,255497615,256440103,30493198,23079536 Dl.O(d2) = 22020912,15919734,11042135,11042134,15919731,22020902,22889104,19304805,13803016,13803015,19157135,25803843,256670657,53073061,44798620,35373873,35373874,42437900,33445012,256660869,33472390,42465697,40929061,32151568,24568151,18127784,18127783,256068883,18738966,18738967,257776219 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 376403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 376403, s2 = 6704291, int(edited[s2]) = 0 s1 = 376403, s2 = 6704291, d1 = 19, d2 = 16 Dl.O(d1) = 9448411,13780663,19277996,255095014,27188978,27188979,29325318,21995692,21995693,29325319,29352608 Dl.O(d2) = 257536137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 376403, s2 = 6704291, dlinesl.size( ) = 20 s1 = 6602996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6489137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6489137, s2 = 6749016, int(edited[s2]) = 0 s1 = 6489137, s2 = 6749016, d1 = 22, d2 = 23 Dl.O(d1) = 255130482,14236273,14236222,11847587,11847585,15556086,14243049,9791135,6436877,6436878,9791136,14243051,19878900,26698807,19878142,14242392,14242391,14235809,14235808,19869410,26688521,26698792,19878129,14242383,11085525,11085526,15970613,22076258 Dl.O(d2) = 64346325,52475952,42120852,33164568,25422210,18829435,15387601,10634144,7019784,7019783,10634135,15387586,10646351,10646353,14497442,18009914,12763593,12763594,18009921,21386630,21386629,21386671,28624341,37137162,34281651,26406858,26406860,28624261,21386596,18980231,18980234,21386702,21386703,28624368,21386740,15403105,15403106,21386747,28624434,37137250,46912313,46912314,38839864,37137155,28624333,21386664,21386665,21386681,21386680,28624346,37137129,28624321,28624320,37110578,33481182,25707674,25707673,30255996,28665095,21419165,21419166,28665096,37186160,258055253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13963485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13963485, s2 = 14119152, int(edited[s2]) = 0 s1 = 13963485, s2 = 14119152, d1 = 56, d2 = 70 Dl.O(d1) = 257502689,256380451 Dl.O(d2) = 265131915,223695178,223695183,225867335,226978720,224941254,222595178,219863566,265249395,265553480,221188050,221188049,223695202,225867344,227761726,227761723,265988566,223695206,221188051,265506205,265188208,274343628,225867341,265988566,223695206,221188051,218260651,214775743,210541069,205358502,199097432,199097433,205358499,205358500,210541065,264915873,221188041,223695188,225867340,265815501,265553476,265379274,218260638,218260637,221188034,223695183,225867335,226978720,224941254,222595178,221188039,265327587,265188206,214775735,210541063,264200814,199097431,205358500,210541065,264915873,221188041,223695188,225867340,265815501,265553476,265379274,218260638,214775734,210541063,264200814,191695042,263127154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13963485, s2 = 14119152, dlinesl.size( ) = 2 s1 = 13963485, s2 = 14119152, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13963485, Dl.E( ) = 80, 2.29e-05 seconds used appending s1 = 11656072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8151755, s2 = 14239019, int(edited[s2]) = 0 s1 = 8151755, s2 = 14239019, d1 = 1, d2 = 6 Dl.O(d1) = 1282806,1282358,1282355,2208529,3689030,5904322,9036750,12702238,8629879,8629878,12702237,12747102,17985721,17945683,12716294,12716293,15422175,15422174,12796963,8700392,5663203,3522205,3522204,5663200,3549681,2113931,1218072 Dl.O(d2) = 211452,384016,687961,1218069,2113926,1577583,896976,896973,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,659996,1175707,2050022,3457954,5246370,5246369,8176707,8176718,12146865,17267437,15663703,15663701,21705133,26387681,19653230,16565232,11547137,11547138,14196825,14196823,17267334,23550702,17242616,17242614,23550696,28899196,30818805,29215064,22781140,16565634,16565635,14213142,9770855,9770854,10847695,10847697,8179463,8179462,12125074,8156315,8156316,11441090,14036880,14036941,17242452,16657510,11625073,8579936,5574693,3458121,3458124,5574703,8579969,12636879,17844954,24215324,19821094,14198177,14198176,14198178,19821095,22583092,19657417,19657416,17747327,12557440,12557439,15158967,10454235,10454236,13017720,13017718,12537390,8498892,5500439,4028591,4028593,6421587,8088964,11612224,15159491,10454540,8526315,8526316,12572186,17766118,24129446,21198137,21198138,25124037,25122410,18573330,13198493,8997343,8997342,13197330,13197331,13197332,18571736,25123601,25125697,32830491,41748508,52062182,63880244,58928667,47546288,47546278,37640014,37640015,256940738,47997719,40980322,32200375,24611941,18163213,12881021,12881022,18163214,256072249,40980329,51122445,59288394,47892372,37974496,29410971,255886388,22080455,22080454,22080440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8151755, s2 = 14239019, dlinesl.size( ) = 2 s1 = 8151755, s2 = 14239019, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8151755, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 6552639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6552639, s2 = 11129258, int(edited[s2]) = 0 s1 = 6552639, s2 = 11129258, d1 = 11, d2 = 6 Dl.O(d1) = 255887050,22088058,255885441,256382698,255450212,11094546,7357946,4647872,4647873,7357948,11094547,15981434,22087963,29418498,37981421,36626970,256107352,255244950,7850821,4983328,3010387,1748563,1748564 Dl.O(d2) = 255129807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6552639, s2 = 11129258, dlinesl.size( ) = 16 s1 = 1151472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1152555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1152555, s2 = 1152554, int(edited[s2]) = 0 s1 = 1152555, s2 = 1152554, d1 = 5, d2 = 4 Dl.O(d1) = 29443281 Dl.O(d2) = 29443280 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9681987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10149868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8598458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13300899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1155816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9339782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9339782, s2 = 10345779, int(edited[s2]) = 0 s1 = 9339782, s2 = 10345779, d1 = 15, d2 = 19 Dl.O(d1) = 42281130,33299826,25537844,18925962,13492335,9230977,6045637,6045636,9230976,13492334,18925960,25537840,254939642,26267257,34133745,38661509,42281120,42676966,39839025,31156256,25377283,18792339,18792338,25377280,33112559,42061580,52405367,54603680,43860948,34590903,34590904,43860950,256554116,38216280,38216279,38216300,38078464,29513953 Dl.O(d2) = 22172479,22297862,16152741,11222116,7446029,7446028,255085145,22297855,29649666,38216010,255087598,22328979,29649743,22297947,22297948,22298289,254166504,17010608,11924539,7978472,7978471,11924538,17010606,16179011,254237572,17892475,24271901,30879645,36876792,28380329,21162835,21162836,24050825,17697078,12516810,12516809,17697077,24050823,31555151,36876729,28380253,28380254,36876731,36876762,36876761,46755588,38774400,30190645,30190644,38774398,48696650,49414984,39512168,39512167,256439472,31637223,24130105,24130106,31637224,30625317,30625316,39223096,46687552,58060856,269070676,57693242,46344704,38314781,29746077,22386736,16228370,11281504,11281495,254532065,2851611,1654649,254238565,4732767,4732782,4732783,7488897,11281515,16228395,22386762,29746100,38314811,48224591,38314773,29746064,22386722,16228358,16228359,22386724,29746068,254187526,21287345,21287346,28506624,29746118,22386771,16228400,16228401,22386707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9339782, s2 = 10345779, dlinesl.size( ) = 8 s1 = 979471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6485042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163388, s2 = 6553179, int(edited[s2]) = 0 s1 = 14163388, s2 = 6553179, d1 = 10, d2 = 7 Dl.O(d1) = 14366925,14366924,20052747,26938787,35019731,44395156,55243368,64241144,61276835,61276834,61276837,49797387,39777520,39777521,49797389,61276840,70554128,77798310,77798309,87985657,74382655,61605883,50125806,40105619,31425766,31425765,28586610,268207487,15422000,21410572,28653553,37171052,47062935,58438466,258046926,60269058,48876715,48876716,60269060,58298269,58298270,63860312,257674318,256543452 Dl.O(d2) = 25103496,256323707,33881394,26057652,26057653,33881396,42927392,258398133,64273601,59422164,59422165,68086883,67807129,67807128,55688592,47730887,47730888,55688577,44780872,35356798,35356797,44780870,55688574,48030753,48030754,51361932,256764021,35356800,27234163,20304790,20304791,27234165,35356805,44780883,38116697,29551979,22207278,255893491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163388, s2 = 6553179, dlinesl.size( ) = 2 s1 = 14163388, s2 = 6553179, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163388, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14162070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162070, s2 = 9170418, int(edited[s2]) = 0 s1 = 14162070, s2 = 9170418, d1 = 0, d2 = 0 Dl.O(d1) = 215167205,211002458,205906520,199744941,192458930,183995814,174336984,163493202,151613200,138911624,125577803,111768573,259417184,83981057,258792954,57758057,46407280,36545727,28077619,20905156,15000260,10330585,6798799,6798798,255003539,15000258,255084714,30584388,30584387,23470254,255361996,255000404,31268751,32403457,41227629,51424705,63121409,76126630,89932467,104061931,258245728,84511447,269572680,46862611,46862610,58230555,65569222,255439096,48427677,48427676,59813649,255874938,61539464,50061290,40041834,31361678,23867501,23867502,24980238,18459150,13113450,8937357,8937356,13113447,14122924,11317197,11317196,16275398,22444158,29811080,29820743,22453418,22453417,29820741,38392985,48303216,51304474,62982860,257563321,38776502,30291434,29603778,29603777,29603862,29603861,256755252,34317394,29603776,29603775,38170695,30348672,30348673,33719298,33719299,42748548,40851965,32080022,32080023,40851967,43258285,34168018,34168017,29555465,254165716,16079834,22210622,254351694,48033949,38295894,29729069,22372339,16217396,11273784,7483825,4729478,2849480,2849481,4729482,7483831,8579566,8579568,12636237,12636087,8579473,8579474,12636090,17843996,24214413,255367682,38066526,29503334,22163813,16041814,16041815,12185855,8216372,5286478,3238509,3238511,5286485,8216201,7744112,7744111,11625860,16658264,22887045,26129224,33967888,43025726,53505392,65531142,78867320,257609906,76019062,63036179,51355380,41170159,32355305,24739517,18266756,12963282,12963281,12963283,18266758,24739518,32355306,29372698,22041682,15938986,11060251,11060252,15938988,22041684,255446585,15952443,13494215,9232064,6046221,6046222,9232066,13493712,9232347,9232348,13494677,18929386,22271405,16129750,16129749,22271404,29622702,38189769,48101403,59489808,72225337,85817651,99770511,260593395,140999799,129439111,259718948,87574555,73976383,61198193,61198192,257841388,43290057,34192811,26320649,26320648,32777453,41694470,52006799,63822934,61198191,49719771,255993070,31024168,25080110,18536867,13171387,255242199,25080107,255696872,9463692,6205199,6205200,9463696,6347608,3982666,2386927,1381800,1381801,2386933,3982676 Dl.O(d2) = 215167205,211002458,205906520,199744941,192458930,183995814,174336984,163493202,151613200,138911624,125577803,111768573,259417184,83981057,258792954,57758057,46407280,36545727,28077619,20905156,15000260,10330585,6798799,6798798,255003539,15000258,255084714,30584388,30584387,23470254,255361996,255000404,31268751,32403457,41227629,51424705,63121409,76126630,89932467,104061931,258245728,84511447,269572680,46862611,46862610,58230555,65569222,255439096,48427677,48427676,59813649,255874938,61539464,50061290,40041834,31361678,23867501,23867502,24980238,18459150,13113450,8937357,8937356,13113447,14122924,11317197,11317196,16275398,22444158,29811080,29820743,22453418,22453417,29820741,38392985,48303216,51304474,62982860,257563321,38776502,30291434,29603778,29603777,29603862,29603861,256755252,34317394,29603776,29603775,38170695,30348672,30348673,33719298,33719299,42748548,40851965,32080022,32080023,40851967,43258285,34168018,34168017,29555465,254165716,16079834,22210622,254351694,48033949,38295894,29729069,22372339,16217396,11273784,7483825,4729478,2849480,2849481,4729482,7483831,8579566,8579568,12636237,12636087,8579473,8579474,12636090,17843996,24214413,255367682,38066526,29503334,22163813,16041814,16041815,12185855,8216372,5286478,3238509,3238511,5286485,8216201,7744112,7744111,11625860,16658264,22887045,26129224,33967888,43025726,53505392,65531142,78867320,257609906,76019062,63036179,51355380,41170159,32355305,24739517,18266756,12963282,12963281,12963283,18266758,24739518,32355306,29372698,22041682,15938986,11060251,11060252,15938988,22041684,255446585,15952443,13494215,9232064,6046221,6046222,9232066,13493712,9232347,9232348,13494677,18929386,22271405,16129750,16129749,22271404,29622702,38189769,48101403,59489808,72225337,85817651,99770511,260593395,140999799,129439111,259718948,87574555,73976383,61198193,61198192,257841388,43290057,34192811,26320649,26320648,32777453,41694470,52006799,63822934,61198191,49719771,255993070,31024168,25080110,18536867,13171387,255242199,25080107,255696872,9463692,6205199,6205200,9463696,6347608,3982666,2386927,1381800,1381801,2386933,3982676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162070, s2 = 9170418, dlinesl.size( ) = 2 s1 = 14162070, s2 = 9170418, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162070, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 79019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 79019, s2 = 2654149, int(edited[s2]) = 0 s1 = 79019, s2 = 2654149, d1 = 71, d2 = 85 Dl.O(d1) = 1636501,1636503,2820777,4681556,7409068,255079875 Dl.O(d2) = 71949222,85536893,99483193,102458904,258124422,74821593,62024820,50533034,255896154,39731289,257628161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 79019, s2 = 2654149, dlinesl.size( ) = 20 s1 = 639307, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1158391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1158391, s2 = 1586366, int(edited[s2]) = 0 s1 = 1158391, s2 = 1586366, d1 = 8, d2 = 19 Dl.O(d1) = 29560216 Dl.O(d2) = 40083733,31403115,23911166,17567974,12396410,12396411,255554575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1158391, s2 = 1586366, dlinesl.size( ) = 2 s1 = 1158391, s2 = 1586366, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1158391, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 10345500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15249709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1159002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13430955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13268557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13268557, s2 = 10357289, int(edited[s2]) = 0 s1 = 13268557, s2 = 10357289, d1 = 22, d2 = 24 Dl.O(d1) = 16507514,16507515,22711570,29240756,37804783,256239494,257332932,29584758,29584759 Dl.O(d2) = 260288107,271583506,159573825,170901009,181018608,181018607,189895054,263372020,273641969,274151787,265802371,230767504,229265224,265802368,266386075,266983935,274930686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13268557, s2 = 10357289, dlinesl.size( ) = 2 s1 = 13268557, s2 = 10357289, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13268557, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 1161345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13522503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1161457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1161776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1161776, s2 = 6552050, int(edited[s2]) = 0 s1 = 1161776, s2 = 6552050, d1 = 15, d2 = 7 Dl.O(d1) = 29624689,22273364,22273365 Dl.O(d2) = 255880039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1161776, s2 = 6552050, dlinesl.size( ) = 2 s1 = 1161776, s2 = 6552050, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1161776, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10348251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348251, s2 = 7258795, int(edited[s2]) = 0 s1 = 10348251, s2 = 7258795, d1 = 59, d2 = 38 Dl.O(d1) = 260612587,272911616,259069916,257232308,256157498,20138154,18767770,13364148,9133269,9133268,6996102,4396699,2634658,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,8720404,8720403,9915278,9915279,14416688,14418919,14418832,9917294,9917293,14418827,12806210,12806211,18063132,21806811,21344029,15369181,15369179,18310352,12997761,12997762,15348365,12997844,12997843,15369339,10619671,10619669,15369333,21344148,21927802,26998544,255657546,14418605,15348543,10602748,10602747,12824868,12824869,9918573,6518567,6518566,9918568,6518957,6518370,4084351,2443679,2443678,4084348,6518651,6569968,6521043,6521041,8720536,9916520,6516979,6516977,4396323,4396324,6995476,10602671,14416398,14416397,20106370,26145561,255066180,15871386,15871385,14418130,254757511,4593922,2763755,1602064,1602063,2763754,254757505,14420570,9919097,6518989,6518991,9919099,14420574,14418478,9916934,6517313,4083577,2443275,1412812,1412811,2443273,2235573,1296463,1296461,2235565,2463442,2463443,4118552,4394992,6993322,10599919,14423306,9921777,9921779,8635941,5616254,3539347,3539348,4914072,2962168,1717871,976176,549618,549615,976157,1717827,2962080,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,4699813,4699812,7437872,255084125 Dl.O(d2) = 264664389,218084560,218084559,218084560,221042229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8023555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8023555, s2 = 14217987, int(edited[s2]) = 0 s1 = 8023555, s2 = 14217987, d1 = 6, d2 = 2 Dl.O(d1) = 21827614,256357869,15759244,10913826,10913827,15759246,21827106,21827189,15759318,15759319,21827195,15760427,10914967,10914969,15760434,15759329,10914508,10914509,15760054,21827897,18559588,18559589,16792155,16792156,23036383,24612733,22450668,16281423,11322589,11322591,16281430,19812091,14191235,9755462,9755463,14191237,19812092,26622344,29134753,21827605,15759679,10914146,10914145,15759678,17022070,15759896,15759895,21827775,21606004,21606003,15759248,15759249,18163840,12881652,12881651,18163839,16916512,11839041,11839042,16916516,23181463,30600075,37695148,32201054,24612627,18163864,16277995,16277994,22447704,29815713,29818617,24612600,24612601,18163921,12881708,12881706,18163916,24612702,26622409,34611321,38215451,29648957 Dl.O(d2) = 72247532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8023555, s2 = 14217987, dlinesl.size( ) = 2 s1 = 8023555, s2 = 14217987, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8023555, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 872386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 872386, s2 = 11594696, int(edited[s2]) = 0 s1 = 872386, s2 = 11594696, d1 = 1, d2 = 48 Dl.O(d1) = 22315549 Dl.O(d2) = 239863419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 872386, s2 = 11594696, dlinesl.size( ) = 28 s1 = 10169838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1165211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8283368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1498025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1498025, s2 = 202749, int(edited[s2]) = 0 s1 = 1498025, s2 = 202749, d1 = 16, d2 = 13 Dl.O(d1) = 36905608,38265268,29699212,22345271,255088911,268086207 Dl.O(d2) = 4822484,2906048,1685707,1685704,2906041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1498025, s2 = 202749, dlinesl.size( ) = 2 s1 = 1498025, s2 = 202749, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1498025, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 1166043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8076892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16038071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16038071, s2 = 8076893, int(edited[s2]) = 0 s1 = 16038071, s2 = 8076893, d1 = 8, d2 = 13 Dl.O(d1) = 185787373,194024803,201083636,207032488,211940947,207810777,201995192,195079989,186996946,177716999,167219174,155587379,143037281,129706430,115807634,101761409,87788520 Dl.O(d2) = 61404395,49924815,49924816,61404398,74184301,74563645,61780201,50300897,40280686,31596543,30246135,29704158,22349667,16199289,255089222,11261494,16200273,22351064,29706048,38272686,48182177,58171829,58171828,49353288,49353287,46804394,36926204,28427574,21203906,21203907,17914912,12692442,8622407,8622410,11923487,7977559,7977557,11923481,8156337,8156339,12125119,12147211,12147209,255546203,31063265,24213296,24213298,26678201,19860523,19860521,26678196,21624033,15593433,10787248,10787247,15593431,21624031,28899209,37439516,41217762,34263508,26386003,23578037,23578038,24215689,22017747,19653255,14087038,9689490,9689489,12635817,12635819,14196748,19819171,23579385,17267610,17267612,19590574,17845502,17845500,19663686,14095056,9694436,9694439,14095064,18966938,18966940,14196000,9758781,9758782,12185627,12185628,16658332,16658334,12633936,8578171,8578168,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030397,12030360,12030359,267766846,24214314,19665224,19665225,25689939,25689938,33462026,30341064,22939809,22939810,30341065,33553023,42570027,53010067,64984846,78257953,85086929,71514460,58784371,58784372,258701129,99012461,260546793,261124507,152892859,262673447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16038071, s2 = 8076893, dlinesl.size( ) = 2 s1 = 16038071, s2 = 8076893, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 16038071, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 14162406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162406, s2 = 11088809, int(edited[s2]) = 0 s1 = 14162406, s2 = 11088809, d1 = 31, d2 = 8 Dl.O(d1) = 90320529,76491283,63443781,51693886,41443654,32577119,255633167,13077587,8911308,8911307,13077585,18411828,24920313,32577117,41443652,51693883,258359961,53528479,53528478,65553343,71019667,58304450,46938435,37059975,28559093,21333071,15360194,10612116,7002486,7002487,10612117,15360196,21333074,28559096,37059980,46938440,58304454,71019671,84583932,98509136,112504510,126375861,116506256,102411200,88411236,88411237,102411202,116506257,130342660,130342661,116506260,102411212,88411242,74779837,74779838,88411241,74779836,74779835,65225265,57781241,53236568,42785160,42785159,53236567,53236575,53236576,65225264,70481428,70481429,57781236,46426291,36562114,28092104,28092103,28092107,28092106,36562117,46426295,48574486,38658570,38658571,42986016,42986015,53460989,59966430,58689343,58689344,71422467,72703803,72703802,72703809,86300948,86300949,100023764,100023765,92589160,78541797,65251730,53262125,53262124,65251728,78541792,67583035,67583034,81050781,72703830,59966444,48574510,48574509,59966442,72703829,59966448,48574534,38658621,38658622,38658545,30081333,22699663,16496390,16496389,22699660,30081326,30081430,256429557,22699690,22699691,30081359,38658575,38658635,30081431,30081432,38658637,33930512,33930511,38586369,31379230,23882250,255177334,21949392,15859382,10992297,10992296,15859380,21949390,21949402,29272337,256019354,30408725,38997850,48921827,47761029,268441408,29272356,21949411,15859392,10992302,7276708,4589049,2760939,2760938,4589046,7276703,10992295,15859378,21949387,29272318,37838535,32051287,32051288,38658583,38658582,48574493,48850859,53332770,65330272,71850068,63578600,51793039,51793040,62534259,62534258,59112008,47714477,37793818,37793819,41762421,42198397,33237858,25488583,18884964,13457863,13457862,18884962,25488580,33237851,268159680,32842294,25137123,18582951,18582950,25137116,24301251,24301250,31817179,40513500,40780942,32842225,31858737,31858735,32776277,25078972,18535687,18535686,25078968,29729309,29729308,22373114,16217928,16217927,18585157,18583365,13205933,9003448,5877856,3669678,3669682,5877388,3669529,3669532,5877403,9003051,13179806,18549500,25097128,32797469,41715415 Dl.O(d2) = 47560543,37654709,29105326,21806879,21806878,29105324,37654708,34208223,26334273,26334272,34208222,43306685,53831554,65898607,59966749,48574831,38658875,30081636,255509490,22699930,16496563,11493745,11493744,16496559,256429579,48574821,59966735,72704047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162406, s2 = 11088809, dlinesl.size( ) = 12 s1 = 875417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9117466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9117466, s2 = 13377952, int(edited[s2]) = 0 s1 = 9117466, s2 = 13377952, d1 = 2, d2 = 0 Dl.O(d1) = 105754336,270866216,91531188,77600411,77600413,91531191,100690065,105754397,91531270,77600457,77600456,91531268,77600457,77600456,91531269,105754393,119988393,119988328,105754350,105754351,119988330,133853961,133853962,142469269,129092320,115161552,115161551,272244253,115161561,115161562,271857800,129092301,129092300,261275630,101084893,87088223,87088222,87088212,87088213,87088215,257652894,59080579,59080578,71821645,85410054,270386170,74075327,87682478,87682453,74075303,61293671,49813946,39793310,256384450,17310526,12186404,8216850,5286846,5286845,8216848,12186400,17310524,23626258,23626257,23626256,31112761,39793296,49813924,61293645,74075276,87682430,101653709,100539627,86578908,72981860,60246354,60246355,72981862,72981849,60246348,58208084,46839938,36960908,28461034,28461033,36960906,46839936,46839927,36960895,257426169,60473776,73220144,86832683,85934455,85934456,98411462,84489796,81601927,81601928,95634930,109838691,114461378,100436936,86479776,72884513,60148140,48753773,48753774,55716836,256766361,35385902,257333095,68113150,81601925,95634926,109838686,123978547,113908088,113908087,109838707,259182889,68113166,81601949,95634944,109838706,123978560,137660696,150658463,141522227,128164164,127782677,113908148,113908146,113908145,99889697,270324455,72340804,72340806,59606211,48219315,38309379,29740895,255468937,11278813,7486965,7486964,254776951,4731363,4731362,7486957,7486960,4731365,4731364,2850691,1654080,1654081,2850693,4731371,7486970,11278822,16224772,22382177,29740908,38309388,48219325,59606224,59362783,59362782,55628599,44730602,35311214,27191522,27191523,35311217,44730608,55628607,68015524,81099808,70856894,58142625,46774814,46774813,46774812,58142623,65052309,65052308,78331139,76430949,63387211,51644517,41403977,32546135,32546136,41403979,51644520,63387217,76430958,90261675,104414009,118598340,128420776,128420777,128420780,258181746,128420459,114537244,100506807,100506808,109810411,109810410,114537246,258181866,97802797,83943492,70416535,57721469,256812650,36512164,46371087,57721467,70416532,258181808,87966958,101939502,115983902,119650903,105413718,259013145,77272096,91191540,77272101,64124749,52275618,256627801,25271621,25271622,32995869,41936721,52275622,64124753,68083594,68083623,58543947,48510963,38596319,30023927,255504770,48510964,255948384,30023929,22651172,16459815,11468690,11468691,16459818,22651178,30023939,38596333,48510987,48808001,48808002,48698824,42191005,42191004,267896732,255121654,30299930,30299928,30300369,30300368,24021724,17672246,12496858,12496856,17672243,24021718,31523308,40208990,50229793,50229788,40208987,31523306,31523307,40208989,50229791,48808568,48808570,47155634,37250748,28719883,21463659,21346534,21346533,254471800,25475670,254690396,40221024,40221023,46959652,37079051,28575251,21346529,21346530,28575255,37079059,46959659,268236180,28575244,28575243,30299757,22901109,22901110,30299760,38885515,38885503,38885502,48807826,55324640,53110769,53110768,65097525,65342400,71042538,254801886,86544562,72944750,254367248,58670895,47279654,47279655,55443740,44593546,35212860,27120546,27120547,35212863,44593549,55443744,58337491,46969515,37087961,37087960,46969513,48808420,60205460,268144566,98562181,84649209,84600014,71035768,58320084,58320085,46999538,256319942,28604321,37113679,46999541,58369955,71086494,84649222,98572446,98566880,84644076,256319948,46995478 Dl.O(d2) = 21358968,28590399,37097028,46980649,42333608,42333607,33687282,33687283,42717293,38743516,38743517,48665330,58365522,46995471,37110175,37110176,46995473,58365525,48665435,48665434,48665437,258048950,71081688,71081689,72800718,72800715,60062152,48665327,256319946,22772179,16557803,268233409,30160617,38743520,48665334,48665429,48665428,269813878,256951414,28874113,21598616,15570869,15570870,21598617,16557811,11541260,11541261,16557813,255936265,37415745,47324298,37415738,28874108,28874107,37415736,38049064,29508425,29508424,38072214,47962074,256384389,29485603,38049073,29485612,22147243,16028275,11128916,7381685,4663496,4663495,7381683,11128912,16028272,16044841,16044842,20220649,14509924,14509923,255076185,7381692,4663503,2809580,1629896,1629895,2809577,4663498,254765927,16028282,22147246,28825761,22147255,16028284,16028283,22147253,29485623,38049089,47962093,59352713,51905579,41605801,41605800,51905578,63712139,269063295,256098707,25018883,32702668,41605793,32702665,25018882,18488791,13135154,13135153,18488789,25018880,32702663,41605789,51905563,57864393,70566094,84102576,85017039,71444347,58713189,58713188,58713190,71444349,71444343,71444344,85017036,270816687,71444337,58713179,58713180,71444340,85017034,259941441,112932176,112932177,116446255,112215341,98237010,84329788,70770887,58052554,257199072,28295104,21087967,15147697,15147696,255807619,36791822,40325159,40325158,40325132,31635778,24128710,17765478,17765479,256037163,31635796,24128719,24128718,31635794,40325163,50352129,50352103,50352104,48944330,39021292,30431875,256456527,48944362,60341232,48944325,39021290,30431860,23025920,23025918,30431858,39021288,48944324,49424045,39494103,30887787,23455767,17178051,12078206,12078205,17178049,255987567,26667825,19851929,14222481,9777512,9777511,14222478,19851925,26667817,34660050,256721574,66932669,80358441,94412334,84988529,71414630,58680880,47289769,47289770,58680882,71414633,79091875,65736232,65736231,79091873,74451021,74451022,88062898,100025159,93206926,79091863,65736219,255076628,35024066,35024067,44399458,55247468,67589196,81056716,95114122,109368093,100025158,86062156,72464133,59728574,48344174,48344175,256311664,59228518,71966443,85554005,99500783,86062148,257079364,107607339,105370151,105370150,100047593,86084910,72487516,255442688,38469225,38469226,48370782,59753232,72487523,72464128,59728572,255822618,47830694,59228548,71966455,59228528,256917585,37908949,47830684,37908953,37908954,47830688,59228533,64092465,77236721,86026935,86026934,91152406,257473602,258083642,72095429,73561655,73561656,85681983,85681982,99631097,113644855,116226586,258117310,88440052,74807520,258117312,258740726,130137081,116226571,102165654,88174877,74560065,257473604,102165656,116226574,130137084,142558103,143467924,130137089,116226579,102165661,88174882,269880006,50297068,40276552,31592139,24088811,24088812,31592141,40276556,40274915,31589248,24084797,17727507,254606990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9117466, s2 = 13377952, dlinesl.size( ) = 2 s1 = 9117466, s2 = 13377952, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9117466, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 836468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8075688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14209151, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8129039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9347646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6573883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1171772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1171772, s2 = 1030799, int(edited[s2]) = 0 s1 = 1171772, s2 = 1030799, d1 = 0, d2 = 8 Dl.O(d1) = 29814617 Dl.O(d2) = 39330805,30734814,30734816,29769212,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,29678304,24431622,23314879,17052000,11962278,11962281,17052009,17052185,11962393,11962391,11961614,11961612,17050834,11961590,8007223,8007224,11961597,11961570,11961569,16024797,11126414,11126412,16024787,20222512,17050776,16024860,16024862,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007128,11961365,17050397,17051964,17051965,23315450,28289220,21082862,21082863,22142848,16024887,11126461,11126462,16024895,22142864,23313333,17050499,17050498,22142732,29480301,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327200,29678383,30665438,33209786,27127059,20222145,16181433,16181431,22143201,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,12483855,12483854,17654720,23998868,31496239,34090544,37841021,34090521,29481030,28388078,28388079,29481309,22143536,16025365,16025364,22143530,29481298,38044417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1171772, s2 = 1030799, dlinesl.size( ) = 2 s1 = 1171772, s2 = 1030799, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1171772, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 7982677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 879605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7935585, s2 = 9354577, int(edited[s2]) = 0 s1 = 7935585, s2 = 9354577, d1 = 20, d2 = 25 Dl.O(d1) = 254713083,6827684,10364661,15037231,15595878,10788918,10788917,15595875,21626718,22837972,255116593,254546989,4883115,7715074,10352709,12659282,15037341,257048476 Dl.O(d2) = 11348354,11353654,7543715,254781707,16319180,256955351,59716178,59202997,255010236,29310938,29310939,25258254,255248495,9075812,9075811,10272091,6750477,4229916,2928288,1698594,1698591,2928280,2218827,2218828,2554599,2554600,2530404,1458203,825559,466170,466169,825552,1458186,2530375,4232213,6754146,10277274,10329767,10329766,14999340,14996738,10327170,10327171,9060050,9060049,255174699,10278631,6755262,6755263,6804692,10324977,6793911,4259766,4259765,267857605,1268632,1268631,2186816,3656096,5857047,5937052,3712307,2223033,1289518,1289519,1293425,1293426,738160,738030,419463,419412,419413,236668,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472336,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6747262,4248459,2539944,1463444,1463443,2539912,2539914,4235238,2532165,1459176,1459174,2532156,4235220,4261713,2547813,1467729,1467730,2547821,4261733,2547834,2547833,2547842,1467737,1467738,2547849,4261785,4242458,3702422,2217582,2217584,2225745,2225743,3465366,3465364,5585599,5947816,5942244,5942248,5587221,5587218,8598504,6773694,6773696,5948175,3719809,3719812,5944032,5944034,3716929,3716927,5588051,8599760,7678068,7678069,256435521,48664606,258169125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7935585, s2 = 9354577, dlinesl.size( ) = 8 s1 = 1173882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1173882, s2 = 7902878, int(edited[s2]) = 0 s1 = 1173882, s2 = 7902878, d1 = 7, d2 = 7 Dl.O(d1) = 29860120,29860121,38424826,46470691,46470693,255796284,41046799,41046800,46470659,46470660,47495984,47495983,40227145,40227146,40226785,31540452,24037459,17685937,255579583,30333408,25454763,18856001,16517706,11511341,7657609 Dl.O(d2) = 29860120,29860121,38424826,46470691,46470693,255796284,41046799,41046800,46470659,46470660,47495984,47495983,40227145,40227146,40226785,31540452,24037459,17685937,255579583,30333408,25454763,18856001,16517706,11511341,7657609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1173882, s2 = 7902878, dlinesl.size( ) = 2 s1 = 1173882, s2 = 7902878, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1173882, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 13182865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6428049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6428049, s2 = 7655536, int(edited[s2]) = 0 s1 = 6428049, s2 = 7655536, d1 = 11, d2 = 14 Dl.O(d1) = 254237878 Dl.O(d2) = 271295243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6428049, s2 = 7655536, dlinesl.size( ) = 2 s1 = 6428049, s2 = 7655536, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6428049, Dl.E( ) = 40, 2e-05 seconds used appending s1 = 1174412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164093, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14162644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1175836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9168734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 640917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1177971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6517665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6517665, s2 = 4060019, int(edited[s2]) = 0 s1 = 6517665, s2 = 4060019, d1 = 12, d2 = 2 Dl.O(d1) = 255480229,16403103,22585400 Dl.O(d2) = 151466817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6517665, s2 = 4060019, dlinesl.size( ) = 18 s1 = 10154625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1178402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1178402, s2 = 6844982, int(edited[s2]) = 0 s1 = 1178402, s2 = 6844982, d1 = 21, d2 = 44 Dl.O(d1) = 29954769 Dl.O(d2) = 259158615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1178402, s2 = 6844982, dlinesl.size( ) = 22 s1 = 14217950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14217950, s2 = 2447430, int(edited[s2]) = 0 s1 = 14217950, s2 = 2447430, d1 = 13, d2 = 9 Dl.O(d1) = 72937735,60198619,60198618,59651931,59651930,72386476,73188039,64365444,64365443,258181458,60155092,60155093,59651926,256950417,29781276,268638625,48264964,59651934,52521205,52521204,59651924,48264961,48264962,256447920,48761353,38842041,38842040,48761352,60155095,58637799,47244218,37334294,28796773,21531326,15517659,15517662,21531332,28796787,37334321,47244259,58637860,60199352,48802605,38880379,38880378,48802601,52521224,255504380,59051499,47650372,37728510,37728509,256447810,58638096,47244592,47244593,48538375,47244848,37334940,255947884,255040961,10732261,15517835,21531651,28797285,22674254,22674255,30049878,255948046,35224493,30293839,30293840,257572769,256447904,38623642,37334936,28797283,28797284,29891925,37334843,30294867,30294868,255504250,21531767,21531768,28797359,21531699,255121216,14513508,20225528,21531265,28796668,37334137,30049831,22674229,16477665,11480707,11480705,16477657,254801724,38623616,37334141,28796670,28796669,37334139,47244044,55454123,55454122,67796207,72671004,84950784,254801738,48538326,48538325,58638201,47244772,37334846,37334845,254549944,71374855,72671012,65571483,65571484,60625490,60625491,59165311,47766622,37844052,254890110,60199876,53546645,53546646,65571497,72671005,59931280,59931279,53546803,43067783,39297125,39297124,49224231,53546636,47766625,37844053,30256513,30256514,38840015,39297129,39297128,49224217,39297126,30699518,23283889,17024766,17024765,255615382,18153218,18153217,24600754,32188248,31236842,23753649,23753650,24602448,32190227,29277048,29277047,37843972,32190213,32190212,32190228,30699507,30699509,25208887,25208886,32923729,41853257,254626874,30699512,23283885,17024763,17024764,21953217,15862281,10994353,7278125,4590055,4590054,5086168,5086169,7990999,11939832,17024786,23283910,30699556,39297156,31710217,24202523,24202524,24600747,18153212,18153211,21827001,29134108,24600737,18153206,18153207,18153240,12873770,8754997,5700148,5700149,8755000,12873777,18154603,19280587,24600791,18153244,18153245,24600792,32188284,29737971,29737970,35224526,35224527,254890084,255222652,38305877,30568377,23151008,16890234,11819018,11819019,16890235,22379606,29737741,38305709,48111996,268943203,38200555,29633715,22281489,16137616,16137615,22281485,29633709,30568360,39166158,49096342,60499970,73246910,77553029,256842072,52511193,42153223,33194252,25448665,25448666,33194254,33194295,38756946,42153222,38283079,29716457,22360550,254493144,15760862,255385000,255780278,21185148,28406334,256453401,30367942,256914824,41193829,256372366,36828611,257416493,58082654,59933117,48540466,38625799,30051935 Dl.O(d2) = 16479011,254722128,22591068,29955074,38519914,48427544,59813535,68098856,55701370,269336239,29488287,22149931,22149932,29488288,38051929,38118123,29553189,22208456,17072048,11983525,8032603,5121932,5121933,5152290,5152291,8060073,5162620,3145628,3145629,5162622,8068431,11979638,255176802,11992900,8051978,5142638,3128306,3128303,5130618,8029560,5118627,5118629,3128126,1828668,1828665,3128116,5142356,5122963,5122962,8033443,5127251,3130948,1830327,1830326,3130943,5145971,8055106,11164929,11164930,12005699,8061352,8030536,5119761,5119762,8030540,11981926,14604592,11998800,8051650,5142304,5142303,5131343,3119411,3119413,1828998,1043894,1043895,1829003,3126570,5140444,3128219,1828722,1043734,1043732,1828715,3128205,5142483,3130784,1830230,1830231,3130791,5145792,8054957,5161787,3144856,2710524,1570283,1570280,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1865981,3127959,3127958,1836838,1048203,589767,329048,181361,99576,99575,181356,329042,589750,1048169,1836777,254381953,3111476,1825315,1041918,586666,327635,180730,99290,99285,180673,180648,180643,327440,329747,182066,99894,99893,182059,330574,592949,1053708,592488,592487,1053732,1846526,3155366,5135068,5155701,5172622,7521889,4755994,2866478,1663699,1663697,2866468,3158920,1849123,1849125,3131294,1830525,1044728,588061,588064,1044735,1830540,3131327,3112967,3112963,3134812,3148456,3148457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14217950, s2 = 2447430, dlinesl.size( ) = 2 s1 = 14217950, s2 = 2447430, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14217950, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 3827078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3827078, s2 = 15930728, int(edited[s2]) = 0 s1 = 3827078, s2 = 15930728, d1 = 10, d2 = 11 Dl.O(d1) = 136276720,270134522,107883900,93454778,79323694,65960006,53893412,43369564,43369563,38527430,29961867 Dl.O(d2) = 59821368,257383190,31822123,31822124,40519044,50555445,62048161,74846530,88482406,102489353,89148207,75401206,62483196,50883742,50883741,58674739,58674738,71408881,256415490,47283540,58674737,257538130,76063716,76063710,63068825,51380660,41190429,41190430,51380661,63068827,73078217,73078218,86682547,257319334,118337351,104179786,90049838,76240688,257319330,62242746,50716475,50716474,62242744,52640151,50716478,254981276,32011489,40767603,41190434,32372054,24753601,18278744,18278745,13472973,255210439,8664348,5636620,5636618,8664343,12748716,17987497,24387039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3827078, s2 = 15930728, dlinesl.size( ) = 14 s1 = 363685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3617589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10185978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6552049, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 130138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6602869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6602869, s2 = 7927760, int(edited[s2]) = 0 s1 = 6602869, s2 = 7927760, d1 = 100, d2 = 153 Dl.O(d1) = 256439042 Dl.O(d2) = 261220388,31421697,23931302,18870057,13446415,13446414,13652210,13652212,19121298,24263963,17885705,12668608,8603278,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,12713580,12713581,17941844,23310280,23310281,22222111,22222110,29568557,31471016,25333332,25333331,33062351,34671193,33301382,25539209,18926996,18926997,25539213,31804362,24289727,17908116,12686902,8617853,8617854,12686908,17908125,24289742,31804391,40499505,31804373,31804372,29321649,21992788,15894903,15894904,21992792,29321655,29442201,26622994,19812599,15793272,15793273,21866923,29177461,33558812,33558813,42575624,35081006,28422190,26159680,26159681,21675252,21675251,21199359,21199357,28422166,34617967,34617968,255676286,33992980,42360577,42360578,256663122,58078242,46706182,46706181,39043858,39043857,36824535,36824536,36823593,29058476,21763047,15706972,15706973,21763053,29058488,22711057,21947833,21947834,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,23088514,30502381,37493484,255198808,47356313,38004746,29441879,22108385,22108384,28954030,37496700,47404456,37887852,29319373,29319372,34003615,34003616,26221545,26221544,26221543,28759173,28759172,26158481,26158480,24093303,17735442,17735443,19276843,19276844,21529518,25894778,25894777,33700814,42730632,33700810,29317326,21988896,15892270,11017247,7293796,7293797,4599941,2767573,1604470,912437,912436,1604465,2767564,4599929,7293845,11017177,15892162,19236825,19236092,19236093,25896170,33589582,33589580,29318370,21989760,19458134,255275584 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6423772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1181451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6601511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10138679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9393380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9361856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8336130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341463, s2 = 13514426, int(edited[s2]) = 0 s1 = 10341463, s2 = 13514426, d1 = 15, d2 = 15 Dl.O(d1) = 47674048,37751648,29190102,255166606,15802628,13337901,13337899,10538938,7901657,5022784,4380977,4380973,6973757,10572773,8276802,6063604,3793810,2272456,1510107,856435,856431,1510093,2615033,4363756,6943723,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512037,1512040,2619055,4371843,4376038,4376037,6965382,10560646,10567169,11746991,16800207,17164415,17164414,15291491,15291490,15489656,10711398,7076406,7076405,10711394,15489649,15306060,15306059,13501789,13501788,15267084,13517284,9249562,9249561,10573944,12057117,12057094,12057095,12053722,10543672,10543671,13522701,9254213,9254214,10569800,9982880,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793630,6063301,9257806,13526919,15274499,17575581,13528024,9258777,9258776,6969442,6969441,10566571,15302314,17150271,17385543,255060372,255868496,22843260,16620326,11595259,7718760,7718759,11595256,16550611,16550612,22763678,27142384,20234210,254542008,9990818,14519657,20234214,27142387,29190100,37751644,47674044,59074431,71815916,85404619,71815913,59074430,59074431,71815917,85404626,99348052,113350019,260028186,99348039,85404614,85404615,99348042,269823896,71815917,85404626,99348052,113350019,260028186,99348039,85404614,85404615,99348041,113350014,113350007,99348036,85404613,71815910,71815909,85404612,99348034,85404620,71815913,71815914,85404618,71815912 Dl.O(d2) = 47674048,37751648,29190102,255166606,15802628,13337901,13337899,10538938,7901657,5022784,4380977,4380973,6973757,10572773,8276802,6063604,3793810,2272456,1510107,856435,856431,1510093,2615033,4363756,6943723,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512037,1512040,2619055,4371843,4376038,4376037,6965382,10560646,10567169,11746991,16800207,17164415,17164414,15291491,15291490,15489656,10711398,7076406,7076405,10711394,15489649,15306060,15306059,13501789,13501788,15267084,13517284,9249562,9249561,10573944,12057117,12057094,12057095,12053722,10543672,10543671,13522701,9254213,9254214,10569800,9982880,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793630,6063301,9257806,13526919,15274499,17575581,13528024,9258777,9258776,6969442,6969441,10566571,15302314,17150271,17385543,255060372,255868496,22843260,16620326,11595259,7718760,7718759,11595256,16550611,16550612,22763678,27142384,20234210,254542008,9990818,14519657,20234214,27142387,29190100,37751644,47674044,59074431,71815916,85404619,71815913,59074430,59074431,71815917,85404626,99348052,113350019,260028186,99348039,85404614,85404615,99348042,269823896,71815917,85404626,99348052,113350019,260028186,99348039,85404614,85404615,99348041,113350014,113350007,99348036,85404613,71815910,71815909,85404612,99348034,85404620,71815913,71815914,85404618,71815912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341463, s2 = 13514426, dlinesl.size( ) = 2 s1 = 10341463, s2 = 13514426, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10341463, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 6652879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10156741, s2 = 14847444, int(edited[s2]) = 0 s1 = 10156741, s2 = 14847444, d1 = 71, d2 = 72 Dl.O(d1) = 24575568,24575569,255322144,33991473,255283982,25757955,20808867,20808868,27972216,36430905,44525614 Dl.O(d2) = 1691249,1330569,1330570,2293189,256396163,29629284,36544466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10156741, s2 = 14847444, dlinesl.size( ) = 36 s1 = 11655812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7978831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1186557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9430977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9430977, s2 = 13549682, int(edited[s2]) = 0 s1 = 9430977, s2 = 13549682, d1 = 1, d2 = 1 Dl.O(d1) = 38695518,30119148,22737282,22737281,30119143,26400260,26400261,30119191,26400236,19666249,14097100,14097098,19666242,26400230,34275207,30119151,30119152,38695766,48611384,48611836,38696247,30119620,30119619,38696244,38696265,38696264,48611864,60002403,60002402,72739080,78033885,64836238,52911254,52911255,64836241,65964222,65964221,60003013,60003014,60000394,60000393,72737320,72739195,60002621,48611379,38695761,38695762,48611383,60002625,72739200,72739073,60002399,60002398,72739068,86336240,77548492,64380381,52506780,43905503,34632903,34632902,33503094,33503095,42501705,52506783,42148945,42148946,38696257,30119626,22737718,16530726,16530727,22737722,30119634,38696267,48611866,60003052,72739545,86336606,269824751,60003046,258480675,86334759,86334760,258505519,54647757,48609005,38693471,38693472,48609010,59127959,59127960,71866362,60000353,48608963,48608964,60000355,258303320,42174156,33214793,25467484,18867332,18867333,25467486,33214796,42174166,48607017,48607016,38696166,38696167,38696346,38696343,30119690,30119658,22737747,22737746,256432511,256432505,22737704,22737703,30119601,256976015,48611760,48611726,38696142,38696141,256354776,22737725,22737741,30119652,38696295,38696412,38696411,257556621,38696417,30119756,30119686,22737758,16530746,11521019,7663763,4848806,2921780,2921779,4848801,7663758,11521015,16530723,22737709,22737668,22737667,30119534,30119557,22737684,22737683,30119554,30119570,22737690,22737689,30119566,38696175,38693770,38691599,38691598,30119586,30119588,38696199,48611777,48608811,38693316,30117465,22735995,22735996,30117467,22737773,22737772,30119704,38696355,48611980,60003154,54644403,43901229,38696151,38696152,38693721,30117408,30117407,37422558,28880579,256339863,38696195,38693872,30117598,22736153,22736152,30117596,38690942,48606395,268646833,22736002,16529489,16529490,22736005,30117475,30119730,30117437,22735974,16529473,11520138,11520139,16529475,22735977,30117444,30117422,22735961,16529465,11520131,7663229,4848478,2921595,2921596,4848482,7663231,11520137,16529471,22735970,22736021,22735919,22735920,30117374,29074176,21776197,21776196,29074173,34628872,26639106,19827212,14203225,9763881,254466165,2413407,2413406,4027441,6419667,9763879,14203224,13647136,11519407,11519408,7663296,4848511,2921614,1694731,963679,963678,1694728,2921608,4848502,7663261,7663259,11520191,11519391,7662794,4848233,2921454,2921455,4848240,7662807,11519404,16528318,22734247,22734231,22734230,22734164,16528240,16528239,22734158,22734671,26639008,26639009,22636640,16448491,11460568,11460569,16448497,16448480,16448481,21776163,18510800,18510799,19827197,25038034,18504251,13146711,13146710,16528767,22734258,16529613,15853778,12667525,12667524,17883999,22734266,30115071,38690977,48606440,39708899,31031985,31031986,39708902,49727452,257019834,65352292,53349921,42885506,33842036,33842035,42885504,39732016,31053709,31053710,29084351,21786775,21786776,29084352,32515910,28272706,28272707,36767685,41362847,51584287,46652347,36767688,36767689,46652348,58024650,70738755,76325840,63302467,63302468,258208276,41362705,51584110,53163965,65148406,78430435,92466680,106772398,260315133,92466682,259699511,98927215,85002538,259321269,112914790,260132540,137315038,123583722,123583690,123583692,112914795,259455474,85002539,95137810,109391984 Dl.O(d2) = 38695518,30119148,22737282,22737281,30119143,26400260,26400261,30119191,26400236,19666249,14097100,14097098,19666242,26400230,34275207,30119151,30119152,38695766,48611384,48611836,38696247,30119620,30119619,38696244,38696265,38696264,48611864,60002403,60002402,72739080,78033885,64836238,52911254,52911255,64836241,65964222,65964221,60003013,60003014,60000394,60000393,72737320,72739195,60002621,48611379,38695761,38695762,48611383,60002625,72739200,72739073,60002399,60002398,72739068,86336240,77548492,64380381,52506780,43905503,34632903,34632902,33503094,33503095,42501705,52506783,42148945,42148946,38696257,30119626,22737718,16530726,16530727,22737722,30119634,38696267,48611866,60003052,72739545,86336606,269824751,60003046,258480675,86334759,86334760,258505519,54647757,48609005,38693471,38693472,48609010,59127959,59127960,71866362,60000353,48608963,48608964,60000355,258303320,42174156,33214793,25467484,18867332,18867333,25467486,33214796,42174166,48607017,48607016,38696166,38696167,38696346,38696343,30119690,30119658,22737747,22737746,256432511,256432505,22737704,22737703,30119601,256976015,48611760,48611726,38696142,38696141,256354776,22737725,22737741,30119652,38696295,38696412,38696411,257556621,38696417,30119756,30119686,22737758,16530746,11521019,7663763,4848806,2921780,2921779,4848801,7663758,11521015,16530723,22737709,22737668,22737667,30119534,30119557,22737684,22737683,30119554,30119570,22737690,22737689,30119566,38696175,38693770,38691599,38691598,30119586,30119588,38696199,48611777,48608811,38693316,30117465,22735995,22735996,30117467,22737773,22737772,30119704,38696355,48611980,60003154,54644403,43901229,38696151,38696152,38693721,30117408,30117407,37422558,28880579,256339863,38696195,38693872,30117598,22736153,22736152,30117596,38690942,48606395,268646833,22736002,16529489,16529490,22736005,30117475,30119730,30117437,22735974,16529473,11520138,11520139,16529475,22735977,30117444,30117422,22735961,16529465,11520131,7663229,4848478,2921595,2921596,4848482,7663231,11520137,16529471,22735970,22736021,22735919,22735920,30117374,29074176,21776197,21776196,29074173,34628872,26639106,19827212,14203225,9763881,254466165,2413407,2413406,4027441,6419667,9763879,14203224,13647136,11519407,11519408,7663296,4848511,2921614,1694731,963679,963678,1694728,2921608,4848502,7663261,7663259,11520191,11519391,7662794,4848233,2921454,2921455,4848240,7662807,11519404,16528318,22734247,22734231,22734230,22734164,16528240,16528239,22734158,22734671,26639008,26639009,22636640,16448491,11460568,11460569,16448497,16448480,16448481,21776163,18510800,18510799,19827197,25038034,18504251,13146711,13146710,16528767,22734258,16529613,15853778,12667525,12667524,17883999,22734266,30115071,38690977,48606440,39708899,31031985,31031986,39708902,49727452,257019834,65352292,53349921,42885506,33842036,33842035,42885504,39732016,31053709,31053710,29084351,21786775,21786776,29084352,32515910,28272706,28272707,36767685,41362847,51584287,46652347,36767688,36767689,46652348,58024650,70738755,76325840,63302467,63302468,258208276,41362705,51584110,53163965,65148406,78430435,92466680,106772398,260315133,92466682,259699511,98927215,85002538,259321269,112914790,260132540,137315038,123583722,123583690,123583692,112914795,259455474,85002539,95137810,109391984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9430977, s2 = 13549682, dlinesl.size( ) = 2 s1 = 9430977, s2 = 13549682, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9430977, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 892877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1011041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6814348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6814348, s2 = 13792045, int(edited[s2]) = 0 s1 = 6814348, s2 = 13792045, d1 = 17, d2 = 24 Dl.O(d1) = 258791524 Dl.O(d2) = 210293008,210293009,214578594,218101271,214578596,214578595,265005784,218101273,214578596,210293010,205048221,198717139,191243852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6814348, s2 = 13792045, dlinesl.size( ) = 14 s1 = 9701106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7856245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8009818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 455239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1299033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1299033, s2 = 6557683, int(edited[s2]) = 0 s1 = 1299033, s2 = 6557683, d1 = 0, d2 = 0 Dl.O(d1) = 32785766,25087884,25087883,32785764,25089416,25089418,32777304,32777302,38118411,38118412,255112558,268414026,38756988,30174160,255941256,36965594,30651662,30651661,39247404,49172550,40190836,40190835,41702143,41702142,52013438,48338405,47341316,37433867,37433866,47341314,38426762,38426761,46692924,267764980,254161340 Dl.O(d2) = 32785766,25087884,25087883,32785764,25089416,25089418,32777304,32777302,38118411,38118412,255112558,268414026,38756988,30174160,255941256,36965594,30651662,30651661,39247404,49172550,40190836,40190835,41702143,41702142,52013438,48338405,47341316,37433867,37433866,47341314,38426762,38426761,46692924,267764980,254161340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1299033, s2 = 6557683, dlinesl.size( ) = 2 s1 = 1299033, s2 = 6557683, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1299033, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9159858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9159858, s2 = 8212051, int(edited[s2]) = 0 s1 = 9159858, s2 = 8212051, d1 = 23, d2 = 14 Dl.O(d1) = 41687502,51998905,258374449,90795196,104971278,119164458,132997577,146229544,262908981,273225215,189092096,186082521,263181519,166024875,154271960,141615962,128265389,114389144,100365915,86409861,72814855,60077520,48681205,38759513,30176496,22787822,16572012,11553048,7687082,4864115,4864116,7687084,7582153,7582154,4904639,4904638,4894624,4894623,7587113,7695268,4870004,2934610,1701952,967488,967487,1701351,1701932,1698944,967577,967576,966034,966033,1699023,1699537,2930064,4862465,7681664,7603735,7603736,7695086,7695085,8844866,7329868,4630387,2789463,1618332,1618329,2789450,4630355,7329816,268081595,15848201,21935743,29256394,22800712,16583722,11564006,7696654,7696653,11564004,11626920,255005711,10349175,11412119,7583759,4796814,2955646,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,2896827,4806523,4796970,2949226,1710372,1710374,2949232,2950768,2950769,4896205,7603608,4902015,4902013,4800618,2893538,2893535,4800611,7589363,11418873,16001505,11450032,7615424,7615425,11450034,12322174,8323096,5370603,5370604,8323098,12322175,17477289,23811132,31297145,39971400,257646757,61464527,74242978,87847426,101821333,115867612 Dl.O(d2) = 151476938,163361075,172636534,161459925,149173398,135949385,122021862,122021861,135949383,149173395,161459922,172636534,161459925,149173398,135949385,122021862,271640236,65773593,65773592,79128898,65773593,53716201,257890580,19534386,23787000,17456056,17456058,23787002,26252323,19534523,19534524,23149338,16888652,11817437,11817436,10391195,10391196,15067668,20979426,24112170,17751675,17751674,22891176,18114315,18114317,18114205,18114206,24550725,25032588,18499708,18499706,25032580,32719128,41625160,51927944,58753544,58753542,47367816,47367815,58753463,63890002,52072569,52072567,63889998,58753367,47367642,47367640,258074687,58753010,58753011,58753065,71481594,58753034,47367257,47367258,47367694,37462374,37462375,47367316,47367315,58753089,58753371,58753132,58753131,58753211,47367479,47367478,37462391,256342505,21647277,15614299,15614298,21647272,28922773,37462315,47367614,47367309,47367308,58753078,47367944,47367822,37462468,255850229,15614340,15614341,21647263,21647266,28922504,37462041,37462076,28922567,21647119,15614211,10803307,10803306,15614207,21647111,28922556,21647169,21647170,28922649,28922866,21647327,15614331,15614332,21647331,28922875,37462439,37462102,37462104,28922908,28922907,37462085,37462083,28922572,28922571,37462080,28922623,28922619,37462129,40356831,31661768,31661766,40356827,50391779,50391937,50391940,61881618,61881545,50391854,40356918,40356920,50391913,61881564,50391871,50391872,42515308,42515310,52925833,61881438,61881485,74673586,74673580,71843306,59104598,47706459,37785505,37785436,29223555,21907930,21907931,21908095,15826723,15826724,21908097,29223638,21908197,15826785,10967775,7259652,7259651,10967726,7259627,7259626,7259644,7259645,10967764,15826762,21908162,15826773,15826774,21908180,21908195,29223956,37785417,37785416,37785587,37785588,47706580,58567210,47178422,37272471,37272472,47178428,58567219,59105053,58567299,58567298,71299308,58567272,269784535,47178453,37272485,28740284,28740285,37272488,47178457,58567253,71299291,60056322,48659720,38738371,30155809,22767522,16553678,11538114,11538113,16553676,22767519,30155800,256445466,30155811,38738375,47178627,37272634,28740394,22030035,15928852,15928851,22030033,29360531,37926802,47846597,59243335,71980664,72794871,60056341,60056342,72794873,71980612,59243290,47846573,269333835,71980607,72794780,60056271,48659685,48659684,60056269,72794775,86390575,99514708,86390648,86390650,100347746,99833965,85880448,72288526,59554328,48167700,48167699,59554324,70964502,70964501,70964590,70964592,59554695,257535625,48330365,59554277,71445672,71445671,71445669,71445670,59554270,59554272,59554821,59554819,59554799,258132877,85880839,99834092,87150014,73531570,66915364,66915363,259380919,73531572,73531571,73531925,87150308,85819796,72288638,72227643,72227584,59492132,48103958,38192578,29625872,22274486,16132233,11206555,11206556,16132240,22274495,29625886,38192605,39456016,38258548,38258549,48168036,59554741,72227559,73531501,60784248,59554481,48167795,38258387,38258386,37417131,28875484,28875485,37417136,47325657,58714587,61597110,50117455,40097043,40097044,39455863,30851924,30851925,39455866,49383683,39455845,39455844,48103969,38192583,38192584,48103973,48103995,38192594,38192593,48103990,59492005,48103870,38192534,29625849,22274475,22274476,29625850,38192536,48103874,59492013,72227452,79250642,87150303,99655118,99655096,99655094,85819873,72227621,257518161,48103986,59492155,72227614,85819861,257569702,256444898,39141276,49071298,60474392,73220742,84787611,71218775,58496931,47118570,47118569,41234350,32409421,24784600,18302847,12991809,254540324,3590220,2140462,2140464,3590224,5764098,8844531,12991862,18302929,24784719,32409563,41234226,41234227,39278066,38535108,268090348,255103038,66914882,54658259,50443504,40409565,31717678,31111583,23625211,17309667,17309666,18535337,25078533,22372390,16217429,16217427,19658340,14090920,9691834,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638589,5574613,8579799,12636621,254168438,30170523,34264212,26386797,26386798,19657686,19657687,21960162,21960161,29285931,26395001,26395000,34270104,43364361,36811331,28314966,28314964,26394669,19660384,14092430,9692793,9692792,14092428,14903446,14903444,20796223,27957829,36415933,30823721,26630341,19819073,19819074,26630344,23899506,17554503,17554504,23899511,20796841,14903870,10247304,10247306,10247501,10247502,14904152,13168430,10694560,7065380,4448524,2672627,2672628,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,16644207,15159180,10454350,10454351,14087166,19653428,17120126,12030951,8088189,5182085,5182087,8088198,7743640,7743639,10454342,15159165,21103884,28314204,28623291,21385849,15402446,10645898,7029099,4421751,2652949,2652950,4421756,7029108,10645912,15402464,18338558,13018000,8863416,8863417,7065342,4448506,2672619,1548198,1548197,2672613,4448494,7065321,10694467,15466475,21467978,28724717,37256269,47161557,58550148,71281626,84855128,98781428,112770880,112770874,98781425,98781424,112770873,126625860,113050058,100829502,100829501,113049936,100994862,99062612,99062613,113049939,99062725,85138636,71568743,58841881,58841879,71568738,257009532,58841868,58841866,50153270,50153269,61635616,74415383,61635542,61635539,74415372,88023074,258428008,64811206,64811266,52889972,52889973,63814619,51999450,41687989,32771539,255682318,13167309,254638557,255641403,32771536,269067163,63814615,76921231,90795810,104972160,119165467,132998816,132998811,119165462,104972157,90795802,76921223,63814610,257171121,258374487,90795796,262909015,132998819,132998820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9159858, s2 = 8212051, dlinesl.size( ) = 2 s1 = 9159858, s2 = 8212051, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9159858, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 1189497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14509805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14509805, s2 = 6487740, int(edited[s2]) = 0 s1 = 14509805, s2 = 6487740, d1 = 7, d2 = 7 Dl.O(d1) = 256436904,255937433,255112939,4864601,2931283,2931282,4815533,254787155,7609473,7609474,11108926,11108928,11561402,9348965,6123520,4800271,2893350,2893349,2895356,1680195,1680194,2895353,4803878,2935162,2935161 Dl.O(d2) = 256436904,255937433,255112939,4864601,2931283,2931282,4815533,254787155,7609473,7609474,11108926,11108928,11561402,9348965,6123520,4800271,2893350,2893349,2895356,1680195,1680194,2895353,4803878,2935162,2935161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14509805, s2 = 6487740, dlinesl.size( ) = 2 s1 = 14509805, s2 = 6487740, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14509805, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 7979257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13481361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1190003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1190003, s2 = 11166125, int(edited[s2]) = 0 s1 = 1190003, s2 = 11166125, d1 = 6, d2 = 26 Dl.O(d1) = 30184496 Dl.O(d2) = 28147762,28147763,36621639,46488235,256656544,65219023,53230280,42778803,33747650,33747649,37493161,34001105,34001106,43041696,33984211,26144347,19447059,13916305,9551433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1190003, s2 = 11166125, dlinesl.size( ) = 2 s1 = 1190003, s2 = 11166125, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1190003, Dl.E( ) = 30, 1.69e-05 seconds used appending s1 = 13244791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6602732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6602732, s2 = 15320346, int(edited[s2]) = 0 s1 = 6602732, s2 = 15320346, d1 = 37, d2 = 20 Dl.O(d1) = 256438039,22799360,16582480,11562789,7695524,254545475,2934785,254364267,4907213,7587638,7587639,7588698,4800143,2893271,2893270,4800141,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,1683052,1683054,2901058,2934175,4252486,4252487,4895781,4895782,7613458,4862254,4862252,7684383,8731297,5684354,3535996,2104665,2104664,3535990,2899053,1682062,956573,539119,302160,302163,539126,956590,1681993,2898915,3730658,5965782,9117739,5985285,5985284,268023465,255480847,11424595,7594363,4803930,2895383,2895382,4803929,6813447,4273604,2555147,2555146,4273599,4809107,7602018,11433895,7603741,7603742,11435815,11608667,7728465,7728464,7595640,7595641,8729925,8729926,11449680,7615067,7615066,7729346,7729344,11549314,11549313,11563463,16583220,255684548,13681505,14953771,10767901,7114561,4479472,2691375,1559132,1559133,2691236,1559050,886366,886368,1559057,2691246,4479231,5367476,8317987,12314429,17466905 Dl.O(d2) = 273358871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6602732, s2 = 15320346, dlinesl.size( ) = 2 s1 = 6602732, s2 = 15320346, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6602732, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 14162764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6486273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1880269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9128360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 896938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 896938, s2 = 11361244, int(edited[s2]) = 0 s1 = 896938, s2 = 11361244, d1 = 14, d2 = 81 Dl.O(d1) = 22839816 Dl.O(d2) = 166327112,166327111,260010950,261188364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 896938, s2 = 11361244, dlinesl.size( ) = 42 s1 = 1192886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1192886, s2 = 10342688, int(edited[s2]) = 0 s1 = 1192886, s2 = 10342688, d1 = 3, d2 = 83 Dl.O(d1) = 30234030 Dl.O(d2) = 264555169,201907957,201907958,264806649,212535751,264275253,194985814,186897615,263614907,177615159,263614909,201907976,207732710,274115891,212535732,212535733,265033369,219719206,216462295,212535752,264275253,201907970,207732701,201907974,201907973,207732707,212535737,207732705,201907972,194985815,186897616,177615159,263614909,201907976,207732710,274115891,212535732,212535733,265033369,219719206,216462295,212535752,264275253,201907970,207732701,201907974,201907973,207732706,264806655,274445628,226881086,226881096,224830820,222469324,265318436,207732700,207732699,212535749,212535735,264806651,219719212,222469311,219719202,216462273,212535724,212535723,216462267,264555167,207732680,212535720,216462269,265238395,224830816,226881090,226881094,265425131,219719216,264806653,207732695,207732696,212535746,216462292,219719224,222469316,222469315,219719210,216462289,265033373,222469322,224830818,265808566,219719215,216462288,265033371,265425129,226881091,274358389,219719220,219719219,265318436,207732700,207732699,212535749,212535735,264806651,219719212,222469311,219719202,216462273,212535724,212535723,216462267,264555167,207732680,212535720,216462269,265238395,224830816,226881090,226881094,265425131,219719216,264806653,207732695,207732696,212535746,216462292,219719224,222469316,222469315,219719210,216462289,212535743,207732694,201907963,194985810,186897612,177615156,262327189,270585162,31116020,23629422,17313462,12189034,8219438,5289487,5289485,8219430,12189018,15877544,13278843,9063312,5926210,3705575,2219276,2219279,3705587,5926236,9063352,13278898,14523621,14523619,20240189,22053962,15950345,11069034,11069031,15950308,15950304,22053889,26357840,26357839,30896403,30240860,255111346,16623505,22847319,30240862,33268496,33268497,38827792,30244425,22850379,16625762,11596956,11596955,11594996,7718657,4885479,2943867,1707179,970401,546517,546515,970390,1707154,267895996,257426603 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1098603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 897325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6661782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6661782, s2 = 7217206, int(edited[s2]) = 0 s1 = 6661782, s2 = 7217206, d1 = 3, d2 = 14 Dl.O(d1) = 257063116 Dl.O(d2) = 151469379,163352926,174205535,183875638,264147965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6661782, s2 = 7217206, dlinesl.size( ) = 14 s1 = 1331421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 897417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1082134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1082134, s2 = 9348927, int(edited[s2]) = 0 s1 = 1082134, s2 = 9348927, d1 = 11, d2 = 0 Dl.O(d1) = 28089170,268303762,15010041,20915570,28089172,36558555,33780364,25970110,19303469,19303468,25970108,33780360,42812919,42813383,51612679,42452362,33459461,25687569,19063685,13609493,9319010,9319009,13609490,19063678,18574715,13199743,13199742,18574713,25127249,32832237,25127512,18574917,254683426 Dl.O(d2) = 6051552,9239890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1082134, s2 = 9348927, dlinesl.size( ) = 2 s1 = 1082134, s2 = 9348927, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1082134, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 1193478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1193478, s2 = 11656403, int(edited[s2]) = 0 s1 = 1193478, s2 = 11656403, d1 = 15, d2 = 6 Dl.O(d1) = 30243133,22849253,16624948,16624950,17923980,17923981,16464434,11471655,7630402,4827584,2909184,2909185,4827580,7630396,11471645,16464419,22657866,16625305,11596667,7719584,4886050,2944206,1707361,1707360,2944203,4886040,7719566,11596644,16625272,22849717,22429776,16262613,11306858,254797832,7630399,11471649,16464422,22657876,30032517,38606372,48521444,59914777,72655324,259408141,114256762,114256763,114256767,128142779,114256814,100223288,100223289,259423016,72655270,59914741,48521419,38606361,30032509,22657871,22657872,30032510,38606364,48521429,59914754,72655284,86256523,100223219,100223218,114256751,114256745,100223215,86256417,72655220,258782899,260025503,114256755,100223255,86256448,72655241,72655243,270854299,72655241,72655243,86256452,100223267,100223301,114256800,100223378,100223379,114256863,114256749,100223217,86256419,86256420,86256529,100223355,100223296,86256469,72655253,59914725,48521410,48521409,59914722,72655248,86256461,100223284,114256813,114256898,114256886,114256885,128142813,114256837,100223319,86256487,72655264,72655263,86256483,100223315,114256834,128142811,141503092,128142826,114256879,100223386,100223387,100223250,100223249,100223267,100223301,114256800,100223378,100223379,114256863,114256749,100223217,86256419,86256420,86256529,100223355,100223296,86256469,72655253,59914725,48521410,48521409,59914722,72655248,86256461,100223284,114256813,114256898,114256886,114256885,128142813,114256837,100223319,86256487,72655264,72655263,86256483,100223315,114256834,128142811,141503092,128142826,114256879,100223386,100223387,100223250,100223249,100223267,100223301,114256798,128142792,128142783,114256776,100223243,100223244,114256772,259423018,72655273,59914747,48521422,38606362,30032509,22657871,22657872,30032510,38606364,48521429,59914754,72655284,86256523,100223219,100223218,114256751,114256745,100223215,86256417,72655220,258782899,260025503,114256755,100223255,86256448,72655241,72655243,86256452,100223267,100223301,114256798,128142792,128142783,114256776,100223243,100223244,114256772,259423018,72655273,59914747,48521422,38606362,30032509,22657871,22657872,30032510,38606364,48521429,59914754,72655284,86256523,100223219,100223218,114256751,114256745,100223215,86256417,72655220,258782899,260025503,114256755,100223255 Dl.O(d2) = 72655273,59914747,48521422,38606362,30032509,22657871,22657872,30032510,38606364,48521429,59914754,72655283,86256519,100223346,114256858,103871052,89767792,75989209,63006169,51326499,41142254,32328184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1193478, s2 = 11656403, dlinesl.size( ) = 2 s1 = 1193478, s2 = 11656403, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1193478, Dl.E( ) = 16, 1.5e-05 seconds used appending s1 = 13285797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13285797, s2 = 6762034, int(edited[s2]) = 0 s1 = 13285797, s2 = 6762034, d1 = 19, d2 = 16 Dl.O(d1) = 30244551,22850620,22850619 Dl.O(d2) = 258176505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13285797, s2 = 6762034, dlinesl.size( ) = 16 s1 = 1935812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1935812, s2 = 11138135, int(edited[s2]) = 0 s1 = 1935812, s2 = 11138135, d1 = 78, d2 = 64 Dl.O(d1) = 49998443,39981542,39981487,39981486,31306239,23818919,17483742,12327538,8327777,5374793,5374794,8327779,12327543,12327529,12327530,17483726,23818898,22853051,22853049 Dl.O(d2) = 257589848,6599268,4134368,4134369,6599270,10041965,14593792,20334863,21714397,21714396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1935812, s2 = 11138135, dlinesl.size( ) = 26 s1 = 8512770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8028497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 897996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13509241, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8082010, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163574, s2 = 14170635, int(edited[s2]) = 0 s1 = 14163574, s2 = 14170635, d1 = 0, d2 = 0 Dl.O(d1) = 2132739,2132740,2132779,1639398,1639395,2260770,3773288,254651829,255264389,268468941,18251344,16503917,11499985,8861430,8861432,11499962,9221209,7649494,7649496,7648983,7648986,4841800,2917716,2917714,4505691,2707642,2707646,4504675,2707118,2707116,3777591,3777595,6038297,8807490,12945233,18248113,24721319,21762891,21762894,29058296,35213519,27121109,27121108,29058285,21762880,15706863,10873240,10873241,7189041,7189040,10873243,15706867,21762886,25626652,25626651,33391759,37607541,29058349,256354129,47512304,42379911,33391766,25626661,19011804,13568940,13568941,19011806,14507875,14507876,20217742,21762941,15706899,10873262,7189049,4529158,4529159,7189050,10873264,15706904,21762946,19011788,19011787,25626638,33391749,42379892,52778644,44346868,44346867,55197553,55197547,55197548,55197565,44346882,34969291,34969290,39105869,39105870,38883886,30298401,30298399,30301117,38887000,33589935,25794127,25794125,33589931,38883882,30298398,255695682,40487592,31792551,24278886,17898525,15754933,15754934,254663568,8574460,8574459,9673315,12315247,9233270,6046945,3783456,3783457,6046949,7897779,5570196,5570197,8574301,12626020,12625948,12625949,12584145,12584144,17781083,14061415,12562044,12562043,13923422,9556853,6270961,3926323,2350520,2350521,3926329,6270975,9556874,13923457,19455940,26154857,23146981,16886561,16886562,18904565,19624725,26354794,33432933,31693679,24204383,24204384,31464843,24204365,17834735,12629052,12629051,17834733,21820698,29127528,37689584,38354700,29781947,22416362,16251129,11298238,11298239,8571897,5567802,3451811,2045140,2045139,3451802,5567792,8571877,255199383,20138046,20138047,24831141,19208774,13720063,13720064,19208775,24157832,17790658,17790659,24157834,31667183,33823889,26349136,26349137,34223268,43321329,44494226,40399122,34225014,26350845,19621509,14061917,14061920,19621520,26350859,26349435,19620261,19620262,26349437,34223541,43321554,53845929,65913331,65160121,65160105,53175432,42725948,42725947,53175448,59345473,47954168,38040573,29477497,29477496,38040570,47954166,39428333,39428335,49358059,39428344,39428343,49358063,60761407,59345499,47954194,47954195,49358075,60761419,60206456,48809259,38886836,30300931,30300932,38886804,31293047,31293046,39967288,38886863,38886803,30300907,22902142,22902145,23396028,30823988,39428327,38886869,30300970,255504851,7752254,267982909,7752259,11636441,16671328,22902221,16671348,11636438,11636439,16671256,11636374,11636375,7752245,4909687,2959356,1715996,1715998,2959360,4909695,7752255,11636433,16671339,11636641,11636642,255504867,11636745,7752523,7752524,11636747,16671687,16671686,22902597,28809054,22902601,16671691,16671692,22902139,256448415,22902608,16671699,16671700,12034007,8090098,8090097,11636639,7752430,4909835,4909834,7752428,11636635,7752521,4909899,2959501,1716094,975103,548996,307337,170063,170062,307336,548992,975096,1716084,2959488,267896747,2959507,2959506,4909907,255121757,16669260,22899658,30298017,22900183,16669753,11635162,11635163,7751278,7751279,7751095,4908804,2958737,2958738,2958733,2958734,4908799,2958790,1715971,975027,974813,548789,307191,169955,169956,307194,548792,548895,548763,307175,169946,93537,93538,169947,169909,169908,254367191,4661905,2808581,2808583,4661908,7379223,255075923,22140528,18406395,18406396,24911300,24911299,24911481,18406188,13073813,8908901,8908900,13073812,18406185,24911478,22901813,16671021,16671020,22901811,22902001,22902000,24911468,18406179,18406180,24911470,30300736,31847191,24327451,17939337,12711455,8636551,5616606,5616604,8636544,12711444,255598745,31847180,40545259,268659960,32140796,32140795,24558859,18120557,12848847,8737434,8737433,12848845,18120552,24558855,32140793,256471348,51058866,62688482,62688483,75633084,89394463,89394464,103488738,117619217,131420114 Dl.O(d2) = 2132739,2132740,2132779,1639398,1639395,2260770,3773288,254651829,255264389,268468941,18251344,16503917,11499985,8861430,8861432,11499962,9221209,7649494,7649496,7648983,7648986,4841800,2917716,2917714,4505691,2707642,2707646,4504675,2707118,2707116,3777591,3777595,6038297,8807490,12945233,18248113,24721319,21762891,21762894,29058296,35213519,27121109,27121108,29058285,21762880,15706863,10873240,10873241,7189041,7189040,10873243,15706867,21762886,25626652,25626651,33391759,37607541,29058349,256354129,47512304,42379911,33391766,25626661,19011804,13568940,13568941,19011806,14507875,14507876,20217742,21762941,15706899,10873262,7189049,4529158,4529159,7189050,10873264,15706904,21762946,19011788,19011787,25626638,33391749,42379892,52778644,44346868,44346867,55197553,55197547,55197548,55197565,44346882,34969291,34969290,39105869,39105870,38883886,30298401,30298399,30301117,38887000,33589935,25794127,25794125,33589931,38883882,30298398,255695682,40487592,31792551,24278886,17898525,15754933,15754934,254663568,8574460,8574459,9673315,12315247,9233270,6046945,3783456,3783457,6046949,7897779,5570196,5570197,8574301,12626020,12625948,12625949,12584145,12584144,17781083,14061415,12562044,12562043,13923422,9556853,6270961,3926323,2350520,2350521,3926329,6270975,9556874,13923457,19455940,26154857,23146981,16886561,16886562,18904565,19624725,26354794,33432933,31693679,24204383,24204384,31464843,24204365,17834735,12629052,12629051,17834733,21820698,29127528,37689584,38354700,29781947,22416362,16251129,11298238,11298239,8571897,5567802,3451811,2045140,2045139,3451802,5567792,8571877,255199383,20138046,20138047,24831141,19208774,13720063,13720064,19208775,24157832,17790658,17790659,24157834,31667183,33823889,26349136,26349137,34223268,43321329,44494226,40399122,34225014,26350845,19621509,14061917,14061920,19621520,26350859,26349435,19620261,19620262,26349437,34223541,43321554,53845929,65913331,65160121,65160105,53175432,42725948,42725947,53175448,59345473,47954168,38040573,29477497,29477496,38040570,47954166,39428333,39428335,49358059,39428344,39428343,49358063,60761407,59345499,47954194,47954195,49358075,60761419,60206456,48809259,38886836,30300931,30300932,38886804,31293047,31293046,39967288,38886863,38886803,30300907,22902142,22902145,23396028,30823988,39428327,38886869,30300970,255504851,7752254,267982909,7752259,11636441,16671328,22902221,16671348,11636438,11636439,16671256,11636374,11636375,7752245,4909687,2959356,1715996,1715998,2959360,4909695,7752255,11636433,16671339,11636641,11636642,255504867,11636745,7752523,7752524,11636747,16671687,16671686,22902597,28809054,22902601,16671691,16671692,22902139,256448415,22902608,16671699,16671700,12034007,8090098,8090097,11636639,7752430,4909835,4909834,7752428,11636635,7752521,4909899,2959501,1716094,975103,548996,307337,170063,170062,307336,548992,975096,1716084,2959488,267896747,2959507,2959506,4909907,255121757,16669260,22899658,30298017,22900183,16669753,11635162,11635163,7751278,7751279,7751095,4908804,2958737,2958738,2958733,2958734,4908799,2958790,1715971,975027,974813,548789,307191,169955,169956,307194,548792,548895,548763,307175,169946,93537,93538,169947,169909,169908,254367191,4661905,2808581,2808583,4661908,7379223,255075923,22140528,18406395,18406396,24911300,24911299,24911481,18406188,13073813,8908901,8908900,13073812,18406185,24911478,22901813,16671021,16671020,22901811,22902001,22902000,24911468,18406179,18406180,24911470,30300736,31847191,24327451,17939337,12711455,8636551,5616606,5616604,8636544,12711444,255598745,31847180,40545259,268659960,32140796,32140795,24558859,18120557,12848847,8737434,8737433,12848845,18120552,24558855,32140793,256471348,51058866,62688482,62688483,75633084,89394463,89394464,103488738,117619217,131420114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163574, s2 = 14170635, dlinesl.size( ) = 2 s1 = 14163574, s2 = 14170635, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163574, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13192771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13192771, s2 = 2433903, int(edited[s2]) = 0 s1 = 13192771, s2 = 2433903, d1 = 41, d2 = 7 Dl.O(d1) = 21498103,23279742,30694960,31422656,23932237,17589873,17589874,22144106,16025766,11126983,11126984,15143254,10444088,10444087,15143249,21082071,26925645,20040349,20040348,20875055,267946556,10305247,14973020,20875057,28043055,254547018,23405575,23405573,22900354,22900357,30298818,35127836,29422678,29130489,21823474,15756495,15756494,21823473,29130484,37692316,255426510,71764935,71637882,58917289,58917288,71637885,72554018,59818774,48432768,38524860,38524861,48432770 Dl.O(d2) = 67640042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13192771, s2 = 2433903, dlinesl.size( ) = 34 s1 = 900905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7609849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7609849, s2 = 10188726, int(edited[s2]) = 0 s1 = 7609849, s2 = 10188726, d1 = 3, d2 = 12 Dl.O(d1) = 269317335,28764167 Dl.O(d2) = 37297364,38921139,48841740,256873403,37297374,47204508,38921133,30334680,22933786,16698875,11659518,11659519,16698878,22933792,30334687,30334685,22933791,22933792,30334687,37297353,28764164,21504280,21504279,28764161,37297352,47204494,37297359,37297360,47204499,37297370,28764174,21504286,21504285,28764169,37297364,256995031,38921144,48841737,38921150,30334694,22933798,21504303,15496494,15496493,21504300,28764191,37297381,38921159,30334699,22933803,22933802,30334696,37297378,28764185,28764186,28764164,21504280,21504279,28764161,37297352,47204494,37297359,37297360,47204499,37297370,28764174,21504286,21504285,28764169,37297366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8008932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2243384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7844665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 902111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 902111, s2 = 14051628, int(edited[s2]) = 0 s1 = 902111, s2 = 14051628, d1 = 0, d2 = 18 Dl.O(d1) = 22949697 Dl.O(d2) = 60249041,58202333,46836318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 902111, s2 = 14051628, dlinesl.size( ) = 2 s1 = 902111, s2 = 14051628, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 902111, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 1199384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8424721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6471475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7936645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1201596, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13404639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13267385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1171193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1171193, s2 = 7095012, int(edited[s2]) = 0 s1 = 1171193, s2 = 7095012, d1 = 18, d2 = 30 Dl.O(d1) = 29806035,29806036,38377887,38872188,38872187,34171536,34171538,27104908,27104909,35194101,28292716,254234690,23032399,267829142,33780285 Dl.O(d2) = 167321811,155687769,155687771,167321823,177818235,262339967,143133959,129801816,115901808,115901809,129801823,143133968,155687762,167321814,177818245,273161089,261832209,143133971,262339973,143133975,143133974,155687771,167321823,177818235,262339967,143133959,129801816,115901808,115901809,129801823,143133968,155687762,167321814,177818245,273161089,167321821,177818250,177818237,167321806,155687753,143133959,129801816,115901808,259505355,87882907,101855962,260716839,115901804,115901808,115901809,129801823,143133968,155687762,167321814,177818245,273161089,167321821,177818244,167321813,155687760,143133966,129801822,115901807,101855961,87882905,74280599,74280600,87882907,101855964,115901815,129801831,143133976,262339973,143133975,143133974,155687771,167321822,177818241,262339971,129801820,261289611,262339969,167321808,167321814,262811659,262488504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1171193, s2 = 7095012, dlinesl.size( ) = 2 s1 = 1171193, s2 = 7095012, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1171193, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 10340622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340622, s2 = 13965981, int(edited[s2]) = 0 s1 = 10340622, s2 = 13965981, d1 = 15, d2 = 27 Dl.O(d1) = 266048157,274635558,234596003,234596004,235577561,235674926,266250376,232463244,231166910,265749390,265594674,224106945,265032476,215400717,211300016,206281392,200210991,193022393,184644018,175051118,164245435,152372817,139652424,260102152,98431460,258240030 Dl.O(d2) = 6060433,268299296,254927837,6064485,3794438,3794439,3797408,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8116492,12069950,17166150,15742807,10903023,10903022,15742805,269001756,12071711,10417359,6867369,6867368,10417357,15103704,16154322,15913289,11034886,7309645,4613525,4613524,6810999,6811000,10345318,11034841,15913238,21028123,15103693,15103694,15103635,10417309,10417308,8491171,8491174,12530064,10417307,10417306,15103631,21028116,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,254242319,4830024,7634701,11478901,16122511,16122510,16154268,16944017,16154239,11223198,11223199,11741663,7839338,4976270,3005991,3005992,4976271,7839340,255128415,23037265,30444787,257001149,60352908,73092595,86697028,259451056,99572501,86697025,258738470,85621918,86697023,86697024,269841226,60352906,48956305,39034195,30444785,23037264,23037265,30444787,257001149,60352908,73092595,86697028,259451056,99572501,86697025,258738470,257505100,47902154,37985919,29423767,255887280,30444787,257001149,60352908,73092595,86697028,259451056,99572501,85621910,72033409,72033410,85621913,73092594,73092595,86697028,259451056,99572501,86697025,73092593,73092592,86697021,73092589,72033414,59297152,256382944,29423768,255887280,30444787,257001149,60352908,73092595,86697028,259451056,99572501,86697025,258738470,257505100,47902155,39034193,257581445,72033414,59297152,256382944,29423768,255075426,4648992,7359663,11097332,14946191,10280414,6756621,6756624,10280405,14946144,10280394,10280395,14946146,20846553,26937330,26937329,35018503,30764976,23341779,17075712,11988744,8040360,5130710,5130711,8040363,11133327,16034271,22154724,29493713,38057466,40034904,42742882,37692745,33405793,25639161,25639162,33405794,28862354,21588235,21588234,28862351,37403898,31323879,30723216,30723213,26926278,25145124,25145122,23548302,23548303,31029366,23833389,17494491,12335091,8333006,5378240,3307174,1945635,1945633,3307168,5378218,8332954,12334992,15128906,15128903,21062136,28264747,255738780,46646484,36760604,28264737,21062131,21062130,22681579,22681578,30058364,37405675,28864463,21590086,21590085,28864462,26926042,20040678,14356013,9864074,9864075,14356015,20040681,26926049,35007831,256214596,268174012,25145551,25408724,254687468,21787304,255956495,16790495,11740032,7838268,4975597,4975596,7838266,11740025,258189069 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2589931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1538721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7651501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7651501, s2 = 8062941, int(edited[s2]) = 0 s1 = 7651501, s2 = 8062941, d1 = 0, d2 = 0 Dl.O(d1) = 271014726,129914117,116014244,101967569,87993120,74389484,61612206,61612207,51750119,51750118,63528353,76607892,269971010,113017277,99029797,85105449,256612766,47418117,37510345,37510344,39058430,30467936,23058921,23058920,30467935,36620211,30467926,28146325,20967940,20967939,28146323,36620213,46486724,57842914,70544937,84082038,97955963,271756671,111893706,125711341,261064647,111893709,271756671,111893706,125711341,261064647,111893709,271756671 Dl.O(d2) = 271014726,129914117,116014244,101967569,87993120,74389484,61612206,61612207,51750119,51750118,63528353,76607892,269971010,113017277,99029797,85105449,256612766,47418117,37510345,37510344,39058430,30467936,23058921,23058920,30467935,36620211,30467926,28146325,20967940,20967939,28146323,36620213,46486724,57842914,70544937,84082038,97955963,271756671,111893706,125711341,261064647,111893709,271756671,111893706,125711341,261064647,111893709,271756671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7651501, s2 = 8062941, dlinesl.size( ) = 2 s1 = 7651501, s2 = 8062941, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7651501, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6656105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9685188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9685188, s2 = 15157047, int(edited[s2]) = 0 s1 = 9685188, s2 = 15157047, d1 = 70, d2 = 79 Dl.O(d1) = 261598412,261598414,168758187,157317312,144903567,131656629,131656628,144903565,157317309,168758185,179041609,188111882,188111874,188111873,196016690,202783139,208465445,212385562,207562531,207562532,212385563,208465446,208465447,213148148,264422920,212385558,207562526,273676774,201714501,207562534,201714502,201714503,207562537,264422918,207562528,201714495,201714494,194766819,194766816,262578300,166768043,155070763,155070762,166768044,166768045,262578302,166768052,166768051,273057818,273057820,166768049,155070760,142426129,129052068,115124218,101049598,101049599,101049604,101049603,115124225,115124227 Dl.O(d2) = 6918822,6918823,10492366,10342050,254485195,2553175,1470725,831928,469176,469175,831926,254219411,267878731,255004833,15012834,20919209,28093614,36563896,38732890,38732891,40312254,31623833,24118410,17757303,17757302,24118408,31623830,26733681,26733682,34693084,26698457,26698456,28353599,21139471,21139472,28353601,36851092,46733677,47966019,39960484,37512350,37512349,34218992,255807785,15148935,15148936,21089655,28297297,36794421,46680505,46680503,46680502,58054921,70773077,84331871,258175500,112217647,126073834,139445058,131188256,117384743,103255223,103255222,117384742,259353300,50897835,257434630,47964044,59355030,72088372,83976320,259915230,11285599,254532375,1656136,942327,942326,1656133,2853886,4735756,7492379,11285582,16233432,16448163,16448165,21607878,16089395,16089394,16089414,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,13204112,9001278,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,25133576,18580087,18580090,25133587,29753330,25704394,19077840,13620205,13620201,19077821,25704374,21673759,21673757,23126765,24011576,17664481,17664478,13209448,10606259,6997913,6997911,10606250,15353342,21325432,17802540,17802538,22432842,22432841,29799320,26414278,25690151,25132691,25132689,32837815,25134334,25134333,31511746,26628449,19817252,19817253,26628453,32839592,32839583,25134272,25134271,32839577,41759726,52072601,47812308,47812307,59210685,255273490,42731376,33701573,25895477,19235527,13742829,9415822,9415820,13742826,19235523,254930780,37449633,28910016,21635414,21635415,24688065,23975056,17627056,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,30502379,30502605,23088703,23088704,30502608,39098501,33999239,33586191,31596820,31596819,33505341,42424699,46665076,255588688,36824253,28328672,268303214,254935350,13593870,19043361,25567195,25567196,25716412,25690080,25690079,21499815,15492890,10713887,10713886,15492885,21499801,19461618,19461617,26161585,26161583,32992732,26161726,19461660,13927642,9559499,6272522,3927255,2351064,2351063,3927248,6272497,9559464,13546154,18983177,17069873,11980709,11980713,17069836,13924874,9557913,9557909,13924859,13924788,9557874,9557876,13924798,13932885,19102613,13638729,13638731,15893089,11017705,11017703,15893082,21990159,254659294,31752757,37885715,37885714,37885987,29317139,29317138,37885986,33541089,25752510,25752509,33474520,33474519,26158853,26158852,26158835,19459291,13926037,13925791,9558446,9558447,13925794,19458944,26156893,31640210,26158415,19458922,13925777,13925778,255326832,28440937,21215460,15247361,15247363,21215472,28440953,29044995,29044996,26932311,23405830,23405826,20062256,14378051,11466704,7627154,7627151,8356463,8356465,11133578,11133582,10884306,10584616,10584619,13932133,15324937,21290364,26929836,26929837,35011572,44388935,35013832,26932157,20046034,18589471,18589470,20044340,26929863,23032707,16789562,16789565,23032710,23307716,17046294,11958411,11737777,7836730,7836731,11737781,16787236,22680646,22680645,30057308,38631357,48545965,59938491,255096060,72677982,86277706,100242419,100242420,114273935,127907257,257534734,258767812,271808090,153939561,165713583,262727546,262728123,153939682,141268265,127907426,114026768,114026769,127907427,141268267,153939683,165713700,153939726,272216577,114026782,100000128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9685188, s2 = 15157047, dlinesl.size( ) = 2 s1 = 9685188, s2 = 15157047, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9685188, Dl.E( ) = 88, 3.5e-05 seconds used appending s1 = 1204758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13164527, s2 = 13315768, int(edited[s2]) = 0 s1 = 13164527, s2 = 13315768, d1 = 3, d2 = 20 Dl.O(d1) = 7629084,4826842,4826843,7629085,11469462,10692230,10692231,7063912,4501856,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005 Dl.O(d2) = 23830937,23084465,16831651,11770425,11770420,16831644,23084460,256505341,37808616,29244307,29244306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13164527, s2 = 13315768, dlinesl.size( ) = 2 s1 = 13164527, s2 = 13315768, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13164527, Dl.E( ) = 30, 1.79e-05 seconds used appending s1 = 9674492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8008291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162258, s2 = 1205164, int(edited[s2]) = 0 s1 = 14162258, s2 = 1205164, d1 = 1, d2 = 1 Dl.O(d1) = 76594890,63515668,51737920,41468960,41468959,42329043,33347679,25587526,25587525,254549114,16210107,11268370,7480216,4727335,2848227,1652522,1652520,2848219,4727322,5573425,8577651,12633041,11548533,11548529,16567244,21284303,19346940,19346941,22103279,22779826,16564448,11546594,11546593,7682138,6375555,4000299,4000298,6375546,9693408,14093356,10694819,7065534,4448604,4448603,7065528,10694807,15466992,16659407,14087121,14087124,9693536,6375616,4000320,4000318,6374401,3999752,2397050,1387194,1387197,2397064,3999779,5774371,7065434,4448540,2672631,2672635,4448527,5984557,5984561,9145165,9145183,9145184,13379631,18785162,25369069,254795048,29953251,29953252,255085780,30504452 Dl.O(d2) = 76594890,63515668,51737920,41468960,41468959,42329043,33347679,25587526,25587525,254549114,16210107,11268370,7480216,4727335,2848227,1652522,1652520,2848219,4727322,5573425,8577651,12633041,11548533,11548529,16567244,21284303,19346940,19346941,22103279,22779826,16564448,11546594,11546593,7682138,6375555,4000299,4000298,6375546,9693408,14093356,10694819,7065534,4448604,4448603,7065528,10694807,15466992,16659407,14087121,14087124,9693536,6375616,4000320,4000318,6374401,3999752,2397050,1387194,1387197,2397064,3999779,5774371,7065434,4448540,2672631,2672635,4448527,5984557,5984561,9145165,9145183,9145184,13379631,18785162,25369069,254795048,29953251,29953252,255085780,30504452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162258, s2 = 1205164, dlinesl.size( ) = 2 s1 = 14162258, s2 = 1205164, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162258, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14183323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14183323, s2 = 10180821, int(edited[s2]) = 0 s1 = 14183323, s2 = 10180821, d1 = 61, d2 = 55 Dl.O(d1) = 23137733,255339404,20251410,14531810,14531812,16876901,16876903,12329442,12329441,11806925,7886562,5008702,3028520,3028521,5008706,7886568,7886240,7886241,11807003,11807344,11807334,7886486,7886331,5008577,3028460,1762163,1003940,565763,316889,316890,565771,1003953 Dl.O(d2) = 255287924,21647690,15614596,10803561,7138636,4494584,4494585,7138638,10803564,15614598,21647692,256161708,47090710,58408161,47368240,37463002,255850293,255046491,10803594,15614652,14120179,14120181,19693305,26431264,19693312,14120183,14120182,19693309,26431272,34309241,42767568,47090713,255560502,28386910,28386912,36883361,255850309,21647891,24192077,24192076,25842134,25842133,33645356,28923566,21647861,21647862 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1207795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1207795, s2 = 10208094, int(edited[s2]) = 0 s1 = 1207795, s2 = 10208094, d1 = 17, d2 = 4 Dl.O(d1) = 30558051,23140826,16880630,16880631,23140827,30558053,39155491,49085290,60488430,73235136,73235137,86848083,86848082,100829189,114879868,128776071,142129970,154763091,165355482,262586794,261565772,113664992,99651331,85702835 Dl.O(d2) = 85683590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1207795, s2 = 10208094, dlinesl.size( ) = 2 s1 = 1207795, s2 = 10208094, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1207795, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 10346015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346015, s2 = 11199898, int(edited[s2]) = 0 s1 = 10346015, s2 = 11199898, d1 = 51, d2 = 10 Dl.O(d1) = 10794321,10794322,15603102,255849003,37448642,47355329,39185898,30588385,23170189,23170190,30588386,37448780,38439720,29881590,29881591,30228682,22836784,22836783,22836845,22836864,30228802,37357698,37448756,37448757,47355457,51647118,51140139,51140138,58742929,71472518,72863083,60126318,58742900,58742899,71472506,72863480,71394203,71394204,70701657,57984189,46607328,36719148,36719149,36719100,28225671,28225670,36719099,46607278,36719359,256101236,38391364,46607075,46607076,46607433,36719248,28225787,28225786,31144261 Dl.O(d2) = 184729924,261093098,152494826,139774818,126399991,258042352,98535534,112529934,104853401,104853402,259081014,122937908,136768664,149909273,162121051,173220773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346015, s2 = 11199898, dlinesl.size( ) = 52 s1 = 6450798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6559835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7864572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7893082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7893082, s2 = 7832334, int(edited[s2]) = 0 s1 = 7893082, s2 = 7832334, d1 = 1, d2 = 2 Dl.O(d1) = 28286700,36783409,29873691,22516030,254837868,7554340,7554341,11371107,16342588,16351263,16351264,22480904,28515761,21294569,15328007,10586787,6983889,6983887,10586780,15327995,21294545,17273757,17273758,17271616,12150589,12150591,17271625,21081082,15142585,10443698,6884829,6884828,6884855,10443747,15142678,21081223,28287281,36783812,31092111,23608541,254370984,16325960,22500222,29855647,29855645,267995818,58045328,46670124,36783756,28287211,21081164,254391354,6884842,6884840,10443721,9903347,9903350,14397807,20080965,22009972,15908397,11029681,7304155,7304156,11029669,14485353,11717647,11717650,12153145,8183331,7320471,4622032,2783269,2783268,4622028,7320462,11045537,15916543,22015837,22529842,22468955,16300441,11341846,11341845,16300437,22468946,29355739,22025032,15923869,11046592,11046593,15923874,17286830,22973569,22973565,22015841,15914254,15914253,17302197,12180150,8211954,7559883,7559881,11362888,11361811,7548546,7548547,267797750,16328900,267754800,7547559,11035206,7309937,7309935,7307858,4773460,4773461,7363618,5261326,3216601,1884524,1884522,3216594,3227169,5272858,7549901,4774609,2877987,1670324,950397,950399,1670307,2877953,4774932,7550409,11362694,11362693,14485591,14485592,11357734,7545986,7545987,4774073,4774074,7548802,7559344,11378303,16351234,12157479,12157481,12157848,11361319,11361320,11809423,11809421,16879588,16333119,16330040,11362742,7549173,7549174,11358807,11358808,16326865,22482648,29848235,30754585,30754586,37967266,29403314,22072964,15967989,15967990,22072965,22503339,16334058,11364523,7550285,4774842,4774843,7550294,11364542,16334081,16328353,11359863,7547274,4773262,4773264,7547282,11359883,11646889,7759583,7759585,11646894,10453047,6890617,6890619,10453052,15157078,21101036,28311156,33866058,26326257,23473651,17192180,12089026,12089025,17192178,23473647,30909147,268911079,10447105,6887145,4323747,2586808,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151113,1151109,1944698,1944697,3305575,5375709,8329252,255173807,23824190,255060446,29193974,21882084,21882085,21866148,21866149,27215797,23485257,23484966,21866339,15792859,10941822,7240229,7240230,10941825,15792865,14405004,9907856,6511940,4570630,4570629,7248604,10952323,7248788,7248789,10952635,15806076,15792759,15792757,20907096,15002082,15002083,15809981,10955857,10955858,15809988,15803611,10950628,10950627,15803605,21878992,22386223,16227991,11281258,11281257,10952346,10952344,15805629,21881410,23485299,27215806,22648803,16457551,16457549,254226968,15793504,15793505,255041698,9138957,13371581,18775915,25358274,30915139,23478192,23478191,21216281,15247982,15247981,21216279,22574642,22574643,29937217,30584103,32823638,30584102,23166179,23166178,16903425,16903426,23166182,30584105,39181832,49111308 Dl.O(d2) = 11829274,7905433,5025163,3041683,3041684,5025075,7475164,4724232,2846487,2846488,4724238,7475172,254813975,5024957,3041561,3041562,5024959,7905139,11826637,11826638,16899423,22348385,16198323,16198322,16584648,11564927,7697499,4871752,2935736,1702498,1702497,2935734,4871749,7697494,11564919,255496001,11564903,7697482,7697483,11564906,16584624,16899210,23160542,16902621,16902622,23160670,23160668,23160926,16899551,11826732,11826731,16899550,16899546,11826728,7903779,7475198,7475194,11260184,16198267,22348319,21357664,21357662,16902698,11828839,11828837,16902693,22348373,16198312,11260168,7475185,4724245,4724244,7475182,7729010,7729013,11609213,11826543,11826542,16899316,23160629,23165842,17076374,11989330,11826458,7903592,5024032,5024033,7903596,7904857,7904856,11828470,16902325,16584634,16584635,22801724,17089206,16899321,16899322,22348341,22348340,28528875,30582986,30582667,30191877,30191878,28588724,21357649,21357650,22962779,23362189,30787600,256949277,256401254,16899267,11826505,7903621,5024049,5024050,7903624,7471587,4721771,4721772,5131353,7903617,5024047,5024046,7903614,11826496,16899251,16899234,11826488,11826489,14447386,14447385,16193089,16193088,22341643,29695077,28588780,21357709,254687264,7015281,7015282,10628396,11025828,7299948,7299947,11025827,15337190,10593026,10593024,10593025,7299910,7299911,11025776,15904379,16216845,22371739,29728495,31250168,31250167,37905477,29336672,22339560,22339559,22371730,22371731,17437767,17437766,16726391,11683864,7791197,7791196,11277689,11277690,16223144,17437745,12291452,12291451,16862345,12291434,8301145,5355294,5355293,8301142,7486226,4730866,2850350,1653835,1653834,2850348,4730862,7486217,11277676,11025791,7299922,7299923,4604472,4604470,7299942,11025819,254374484,17800620,12628916,12628917,17716603,12533197,8494839,8494840,11281302,11281304,11281328,11281327,16228095,12584376,12584377,17781352,254128810,31181480,31181479,31603026,267846778,17740195,17901689,17901668,12681373,12253053,12253052,8275357,5339550,3282054,3282052,5339348,5339443,3282020,3275346,1926503,1926509,3275342,1926584,1100772,1100773,1926587,267843503,8259997,254418628,17711911,17711912,13348036,13348035,18748584,25327672,22796669,22796670,23710528,17711265,12528735,12528736,17422376,12279737,8293158,8293160,12279738,16889133,16889132,23149815,30567167,36845528,36845527,28348269,24079769,24079767,24100675,24077516,17720623,12536886,12536883,17720614,24077507,31583222,24155098,17787964,12589878,254188822,5539151,8541495,8569736,8493305,5494218,5494217,8493300,12532016,17715326,13180050,8984079,5865209,3661774,2190933,1271721,1271723,2190939,3661789,5865245,8984148,13180137,17824656,14213707,9771284,6424539,4030529,4030526,6424529,8532632,5530796,3416515,2016933,2016935,3416523,5530809,5530874,5530871,4012054,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148402,17787906,12589854,12589858,12608060,8556979,8556982,8551664,8551662,12535049,9943848,9943846,8484112,8484108,12522343,9187810,9187809,13438683,18861900,19836715,23041753,16796787,16470002,255486963,20148650,254865716,29477245,31576797,24071042,17714803,12624067,8570169,8570170,9718560,9718559,14126228,14126300,254280252,24083031,31588048,34321252,26444345,26444344,26443086,26443087,24186342,17817681,17817680,254275084,16625622,16625619,14456261,14456262,12541163,9945580,9945581,7632629,4828856,2909881,1688111,1688108,2909871,4828838,6536682,9945741,11581484,11581483,16605835,22826788,30218852,22826441,16605539,16605537,22826439,22827011,22827012,30219234,30448711,29313224,21985227,15889022,15889023,21985232,20150375,20150374,27043084,23041043,16796112,16796110,23041036,19702337,19702336,24697862,18833264,13418361,13418362,18833270,16605615,11581346,11581345,16605612,22826428,20151914,14456111,14456112,20151921,16605952,14454822,14454821,9945676,6536644,6536643,9945668,14456427,20152336,20152551,19704724,16023501,16023502,14454369,9944403,6535893,4095074,2449896,1416463,1416464,2449904,4095089,6535921,9944448,14454454,20149822,22313430,16167913,16167910,17799231,17799229,17799137,17799135,17799209,17647875,12475487,8445500,8445499,10421440,10421439,15109087,20148588,14453513,14453512,17896949,12677251,11475481,11475482,10757516,10757513,15553533,21576742,19705146,14128892,14128893,19705135,19704795,14128611,9720001,6394192,6394189,9719989,14128582,11743775,11743776,9945420,9945422,9944281,9944285,14454150,14454206,20149494,17712187,17712188,17836938,16171695,11239200,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129061,17920792,15735933,15735935,10898457,7208062,4541690,4541688,7208052,10898430,15736007,20012220,24082764,24082767,23796782,22316795,22316796,17464391,17464390,17371496,17371495,19704920,14128713,9720041,9720039,14128692,11239562,11239560,16172154,14454602,14454604,17798651,17798650,19702246,14332176,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,8449566,5457777,5457778,8449568,12478888,17462572,17462569,19704462,21785366,21785368,21800210,17464298,16163253,11230192,11230191,7459838,7459839,11239506,15739537,12245266,12245268,17377154,12312764,12312766,12294135,12294138,16171091,16171088,21793106,21793104,19837328,15726447,10890283,10890287,10897885,10897880,10435926,7208485,7208483,10899205,10899187,10436311,6880043,6880044,10436315,15131426,15131444,20310232,15737836,15737834,12241704,12241705,12677532,12677534,11239302,7459710,7459709,7459765,4713745,2839675,1647238,1647236,2839668,4713719,7459721,11239322,15130790,15130791,254134786,15726711,21785258,22482794,16311264,11348672,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10436730,6880285,6880281,8296687,12285342,10752840,7104046,254134606,15547282,15797930,21872153,29183057,36764634,28849427,28849428,28310888,21100768,15156871,15156870,21100763,28310881,31223262,23740024,20990719,15077271,10452908,10452910,15156875,21100778,20990673,15132567,11868498,7932623,5043287,3053803,3053804,5043288,267987427,16956310,13332412,9109585,9109588,13332415,18728321,25303372,33029591,31072539,31072540,28269886,28118805,20941594,20941593,21195053,15231335,10506970,6928446,4352738,2606973,1504478,852833,481665,481666,852838,855037,853090,853088,1504883,2607526,4353526,6929490,254332031,1514639,858535,858534,254224177,2613796,1509339,1509340,858890,484850,484799,481544,481543,852622,482285,482284,853015,481759,481757,853009,859498,859499,854256,854259,1506701,1508855,1509687,1506961,854414,854413,854431,482552,271551,271552,482556,853406,481982,271249,150373,82716,45270,45271,82723,150385,150796,272030,150851,150853,272141,271152,271150,271867,150711,150714,271877,483177,855522,1505989,1506257,859347,485148,272906,272907,485155,859358,1504025,1504024,2606260,2608412,1515315,1514580,858484,484582,484580,858479,1514572,2610567,1515254,858962,484888,484882,272762,272761,481992,271255,150377,150378,271257,481996,853431,1505386,2608274,4354420,6930514,10509873,15235147,21199915,23355150,254686102,47539300,37861840,37861841,32419204,32419205,41245581,51444986,255477412,29885920,29885922,24271215,17891892,17891889,268450547,31783826,24271016,24271013,31783823,30546477,29886071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7893082, s2 = 7832334, dlinesl.size( ) = 2 s1 = 7893082, s2 = 7832334, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7893082, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 14485683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14485683, s2 = 14163335, int(edited[s2]) = 0 s1 = 14485683, s2 = 14163335, d1 = 1, d2 = 1 Dl.O(d1) = 42624477,53072065,61562278,61562277,65054519,53071960,255281508,25802764,19156280,13678950,13678949,19156278,25802763,33599778,42624343,53071942,65054508,59151956,47753373,47753372,40060168,256147628,61561945,61561944,61561984,50081476,50081477,61561986,50081735,40060142,268302454,23880891,17535105,17535106,23880911,31377540,40060170,50081760,50006587,50006586,42371994,33382886,33382887,42371995,40060193,40060192,40060157,31377522,31377521,40060154,50081741,50081431,40059877,40059878,40060151,255277060,53845570,43321065,34222965,34222964,42849193,41428771,41428772,51670439,63413280,51670486,51670487,42372003,42372004,42372009,42372008,52771096,255681834,25992184,19321141,13815853,9474869,9474870,13815855,19321145,25992192,33808355,42849192,33808351,33808348,33719913,25913285,25913284,32568677,26402615,26402614,33720015,32568427,24915685,24915684,24915901,255275892,8910544,8910543,13076221,13076239,8910553,8910554,13076241,18409491,24915704,24915703,18409451,18409450,18409496,13076247,8910556,5814745,5814746,8910481,8910482,13076114,18409308,18409309,24915682,24915683,24915679,24915680,18409321,13076119,8910485,268017419,18409318,24915692,32568431,41428624,51042090,40902937,40902938,41428617,255681766,31068014,31068013,39746215,33704070,25897814,25897813,33704069,39166080,39166081,40902975,32127429,31800432,24286379,17905489,17905490,24286381,31800435,31800467,31800468,32567466,256604937,31800497,24286425,24286424,31800495,32567908,32567909,41427770,32567538,24915926,24683246,254953968,12921065,12497118,12497119,17672620,24022247,24915050,18408927,13075845,13075843,18408919,24915030,32567622,32567873,32567744,24915123,18408977,13075866,13075865,18408970,24915116,32567734,40209685,31523899,24022217,24022216,18409155,18409154,24915458,24915484,24915002,24915001,32567571,40209704,40209706,41428118,32567925,24915266,18409059,13075917,8910348,8910349,13075920,18409069,24915282,24683256,24683254,32293869,32293863,24683248,18217063,268277151,32293864,41103817,36481514,33349339,25589003,25589002,33349333,36481504,36481503,39859047,32567948,27281733,20346264,14603503,14603502,10286733,10286734,14952775,20853562,28020143,35407425,44832850,49882243,46337418,36481441,36481442,46337425,36924849,36924847,39213880,39213882,49140731,47827959,41428039,41428040,48607608,38692175,30116100,22734990,16528815,16528816,20853590,20853591,28020187,36481469,28020152,28020151,25588997,18980056,13543672,9271819,9271820,13543674,18980060,25589010,33349352,42330781,46337413,36481431,28020120,20853550,14952770,10286723,6761834,6761835,10286727,14952785,20853581,28020169,36481493,46337446,36481452,36481451,38692133,48607572,52688623,60540780,57684603,46337471,36481473,28020155,20853567,20853568,268598801,37906240,37906241,46337369,47819482,37906267,29337438,29337439,31572497,24066733,24066732,31572495,268388300,29337490,256374989,47828099,47819484,37897528,256916587,50281012,50281013,49960790,49960789,58945374,59225975,61760513,50280945,40259974,256033605,17711009,12528550,8490064,5490965,5490964,8490061,12528542,17710994,24066738,29328991,37897531,47819491,59217816,71956180,60540686,60540685,60540788,256606744,65141567,73284370,73284369,64589105,61760576,50281001,256895120,39214243,49141008,47932753,47932754,58945386,71667050,58945377,47562499,39366367,39366366,47562506,49140863,39214064,30617270,23196436,23196439,30617276,30617290,23869669,23869670,23869677,19213840,19213836,25872289,33678279,42417894,33427230,33427231,256370678,51086347,256912938,61241878,257046713,31066341,31066342,39744419,49762971,61241919,61241855,49762929,49762931,61241857,74022356,258786096,55483394,44633244,44633243,55483392,67824952,77751608,77751609,77751612,64569058,52668627,52668628,64569060,64569053,64569052,64569062,64569063,269091832,270008100,55483389,55483388,67824947,67824920,67824921,72689610,258786094,67824939,55483384,55483383,55483382,67824942,55483386,44633240,35248778,27150352,27150351,35248775,44633234,44633248,35248781,27150353,20239776,20239773,20239774,27150349,256757971,55483376,61460151,49982054,39965368,31290169,31290167,39965364,49982046,39965436,39965435,49982108,61460128,50363076,40335858,40335856,50363074,58307907,48530188,38614444,38614445,48530189,59924010,58307917,46941499,40486950,31791813,28561316,21334872,15361556,10613218,7003397,7003398,10613221,15361564,21334890,28561349,21793447,15734652,15734651,17897652,17897653,24278059,31791817,37484187,37484186,47391742,49094997,39165035,39165033,30598576,23179741,23179740,30598574,39195358,49122942,60524057,73268997,257561560,70880506,84437863,70880515,58166467,46799129,36921273,28423089,21200111,15235258,15235257,21200108,28423083,36921268,46799116,36921262,28423079,28423078,36921259,46799109,58166448,70880492,59481139,59481138,72218314,85812263,85411005,71822572,59081456,256701314,29197836,29197835,21885602,17437543,12291268,12291267,17437539,12678780,12678779,17898568,24278922,31580905,26360423,19629211,14067358,14067357,19629210,26360421,24185688,24185687,31694103,26637621,22416383,1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Dl.O(d2) = 42624477,53072065,61562278,61562277,65054519,53071960,255281508,25802764,19156280,13678950,13678949,19156278,25802763,33599778,42624343,53071942,65054508,59151956,47753373,47753372,40060168,256147628,61561945,61561944,61561984,50081476,50081477,61561986,50081735,40060142,268302454,23880891,17535105,17535106,23880911,31377540,40060170,50081760,50006587,50006586,42371994,33382886,33382887,42371995,40060193,40060192,40060157,31377522,31377521,40060154,50081741,50081431,40059877,40059878,40060151,255277060,53845570,43321065,34222965,34222964,42849193,41428771,41428772,51670439,63413280,51670486,51670487,42372003,42372004,42372009,42372008,52771096,255681834,25992184,19321141,13815853,9474869,9474870,13815855,19321145,25992192,33808355,42849192,33808351,33808348,33719913,25913285,25913284,32568677,26402615,26402614,33720015,32568427,24915685,24915684,24915901,255275892,8910544,8910543,13076221,13076239,8910553,8910554,13076241,18409491,24915704,24915703,18409451,18409450,18409496,13076247,8910556,5814745,5814746,8910481,8910482,13076114,18409308,18409309,24915682,24915683,24915679,24915680,18409321,13076119,8910485,268017419,18409318,24915692,32568431,41428624,51042090,40902937,40902938,41428617,255681766,31068014,31068013,39746215,33704070,25897814,25897813,33704069,39166080,39166081,40902975,32127429,31800432,24286379,17905489,17905490,24286381,31800435,31800467,31800468,32567466,256604937,31800497,24286425,24286424,31800495,32567908,32567909,41427770,32567538,24915926,24683246,254953968,12921065,12497118,12497119,17672620,24022247,24915050,18408927,13075845,13075843,18408919,24915030,32567622,32567873,32567744,24915123,18408977,13075866,13075865,18408970,24915116,32567734,40209685,31523899,24022217,24022216,18409155,18409154,24915458,24915484,24915002,24915001,32567571,40209704,40209706,41428118,32567925,24915266,18409059,13075917,8910348,8910349,13075920,18409069,24915282,24683256,24683254,32293869,32293863,24683248,18217063,268277151,32293864,41103817,36481514,33349339,25589003,25589002,33349333,36481504,36481503,39859047,32567948,27281733,20346264,14603503,14603502,10286733,10286734,14952775,20853562,28020143,35407425,44832850,49882243,46337418,36481441,36481442,46337425,36924849,36924847,39213880,39213882,49140731,47827959,41428039,41428040,48607608,38692175,30116100,22734990,16528815,16528816,20853590,20853591,28020187,36481469,28020152,28020151,25588997,18980056,13543672,9271819,9271820,13543674,18980060,25589010,33349352,42330781,46337413,36481431,28020120,20853550,14952770,10286723,6761834,6761835,10286727,14952785,20853581,28020169,36481493,46337446,36481452,36481451,38692133,48607572,52688623,60540780,57684603,46337471,36481473,28020155,20853567,20853568,268598801,37906240,37906241,46337369,47819482,37906267,29337438,29337439,31572497,24066733,24066732,31572495,268388300,29337490,256374989,47828099,47819484,37897528,256916587,50281012,50281013,49960790,49960789,58945374,59225975,61760513,50280945,40259974,256033605,17711009,12528550,8490064,5490965,5490964,8490061,12528542,17710994,24066738,29328991,37897531,47819491,59217816,71956180,60540686,60540685,60540788,256606744,65141567,73284370,73284369,64589105,61760576,50281001,256895120,39214243,49141008,47932753,47932754,58945386,71667050,58945377,47562499,39366367,39366366,47562506,49140863,39214064,30617270,23196436,23196439,30617276,30617290,23869669,23869670,23869677,19213840,19213836,25872289,33678279,42417894,33427230,33427231,256370678,51086347,256912938,61241878,257046713,31066341,31066342,39744419,49762971,61241919,61241855,49762929,49762931,61241857,74022356,258786096,55483394,44633244,44633243,55483392,67824952,77751608,77751609,77751612,64569058,52668627,52668628,64569060,64569053,64569052,64569062,64569063,269091832,270008100,55483389,55483388,67824947,67824920,67824921,72689610,258786094,67824939,55483384,55483383,55483382,67824942,55483386,44633240,35248778,27150352,27150351,35248775,44633234,44633248,35248781,27150353,20239776,20239773,20239774,27150349,256757971,55483376,61460151,49982054,39965368,31290169,31290167,39965364,49982046,39965436,39965435,49982108,61460128,50363076,40335858,40335856,50363074,58307907,48530188,38614444,38614445,48530189,59924010,58307917,46941499,40486950,31791813,28561316,21334872,15361556,10613218,7003397,7003398,10613221,15361564,21334890,28561349,21793447,15734652,15734651,17897652,17897653,24278059,31791817,37484187,37484186,47391742,49094997,39165035,39165033,30598576,23179741,23179740,30598574,39195358,49122942,60524057,73268997,257561560,70880506,84437863,70880515,58166467,46799129,36921273,28423089,21200111,15235258,15235257,21200108,28423083,36921268,46799116,36921262,28423079,28423078,36921259,46799109,58166448,70880492,59481139,59481138,72218314,85812263,85411005,71822572,59081456,256701314,29197836,29197835,21885602,17437543,12291268,12291267,17437539,12678780,12678779,17898568,24278922,31580905,26360423,19629211,14067358,14067357,19629210,26360421,24185688,24185687,31694103,26637621,22416383,17626756,254857321,8415435,12447038,17626760,23974690,31470719,40154984,50180054,61665428,74449329,257230372,65100093,74449327,268760010,48219750,40161981,31477394,23980713,23980715,31477399,31643027,24136311,24136310,23009324,16770237,11724668,11724672,16770225,23009303,17752702,12561109,8516538,8516541,12561118,17752720,24113504,20021564,16770158,11724632,11724633,16770175,23009240,30413896,256755528,37709307,37709306,47631580,59033815,71289299,58557314,47168387,47168386,58557311,71289294,84863658,269195948,85416703,99359670,95274320,81216464,67749964,55409475,44561843,35183507,35183506,44561840,44598714,55447980,67790651,81259338,95319436,87648923,87648922,84520455,70956999,59624822,48237746,38327839,38327840,36458368,36458369,46311163,47631571,37709299,29149007,29149005,37709296,47631566,256268546,28012691,23870676,17526228,12360194,8351332,5390329,3314614,3314615,5390331,8351336,12360201,17526240,23870671,17526223,12360189,12360191,15213501,21172328,28391626,36888485,40045422,256223152,33205039,25457770,18858432,13436370,9186390,9186389,6867067,6867066,10416884,10416890,10416891,267998386,14208784,14208786,19834439,23717057,23715440,17391584,17391583,256005649,17545856,17545855,17545558,12376015,12376016,10982522,10982506,10982507,15847270,17691985,12513131,8477116,5479585,5479587,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376666,8376663,7679671,5403617,3322223,1954080,1116332,1116331,1930116,1930114,3281358,3281336,3281337,5338096,8272896,5409642,5409643,7737411,11618418,16650732,22879087,30276291,38860923,34194532,26321943,26321944,34194535,257264215,65885408,74375048,74777939,61981729,53689144,43178261,34094078,26231936,19515983,19515984,26231939,26231935,26231934,34094076,43178257,53689142,59246057,47849497,47849498,53521254,53521251,53521250,270049611,91516666,77585657,64416710,52542207,42183321,42183320,256497722,25475305,18873956,18873957,25475307,33223295,42183324,52542210,64416712,64416711,55677889,44769018,35343438,27219718,27219719,257270830,18891011,254923637,6027201,3770657,2259267,1311304,1311305,2259270,3770664,6027210,9206232,13462355,18891056,25496102,22731089,16525880,11517634,7661554,7661555,11517633,11517632,16525879,22731085,30111321,38687362,42665802,33636160,25833187,25833183,19180176,13696775,9380403,9380404,13696776,19180178,25833189,28387488,28387487,28387490,28387489,28852533,28852534,28852409,21580279,15556818,10760453,10760452,14199151,9760781,6417634,6417635,9760783,14199153,19822250,14199101,14199102,14199211,9760827,9760825,14199209,14121443,9715399,6391436,4011071,4011072,6391439,9715407,14121456,19694943,19694899,14121425,14121424,19694897,14121439,14121440,19694918,26433042,34311007,34310978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14485683, s2 = 14163335, dlinesl.size( ) = 2 s1 = 14485683, s2 = 14163335, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14485683, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 6642849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9432343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9432343, s2 = 8129750, int(edited[s2]) = 0 s1 = 9432343, s2 = 8129750, d1 = 27, d2 = 23 Dl.O(d1) = 257013203,30608378,23189126,16922455,255967669,259449107,73275790,73275789,258201801 Dl.O(d2) = 257065614,49131082,257627986,40111665,268452652,17597326,12421020,8395070,5417508,5417489,5417488,8395035,12420956,17597195,22818582,28474626,31430540,23939444,17595450,17595451,17599150,17599151,23943981,30596271,28011803,20846071,20846072,28011806,36472206,46327509,40112212,40112213,31435205,31435206,40113859,50133882,50129559,40108925,40108924,34598663,26611626,19803664,14185259,9751525,9751524,6789531,267957327,13614636,13614637,16598445,16598444,22817615,30209517,30208381,22816674,22816673,30208380,29513207,22171897,255077390,16598272,11576168,11576169,16598277,22817412,30209287,36497844,46355813,57705103,59402938,57618813,256095632,36421830,36421827,36421826,46274405,57618805,70309346,71160830,267827602,37750599,37750598,46457931,254514814,66916348,80342737,87141413,80342740,80342741,81634145,81634146,73522544,257213920,49372673,39444352,30840109,23410497,23410498,30840111,255367986,18746908,254915905,5967393,5967394,9119898,13346698,18746914,25325908,22079195,21622560,21622561,28897929,31338211,255001888,255649994,38240925,29676130,22325125,16179698,16179699,22325123,268944047,31661455,24150849,17783701,12586316,8538638,5536655,5536654,8538637,12586315,12586320,17783707,24150864,31661477,31661446,31661445,40356525,50391504,40356569,40356570,50391535,58747442,58747443,65882321,61881244,50391538,256545249,31661483,40356572,50391536,60126025,48731390,38811144,30228397,30228398,38811146,36557065,28087736,20914205,20914204,25266803,18694990,13301878,13301880,15120193 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7948232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10159128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163048, s2 = 11657541, int(edited[s2]) = 0 s1 = 14163048, s2 = 11657541, d1 = 36, d2 = 35 Dl.O(d1) = 2821261,1636760,1636759,2821260,3040229,1770441,1770443,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,10563675,15299237,15308299,10573342,10573343,10541163,10541162,7297020,7297018,11021649,8108330,5194860,5194858,6064091,3794159,3794158,6064090,9258810,12057337,8106763,5193969,5193968,8106761,6061384,6061385,6060971,3792195,2271583,2271586,3792187,6060958,9254389,10570242,10570248,9248148,6963400,6060868,3792145,3792146,3171075,2617762,1511419,1511420,2617770,4369284,6953802,10544129,15277989,12054537,12054536,12060659,8109226,8109227,255060369,10949742,15802573,12436733,8405415,8405414,12436732,15278934,18955017,13518495,13518498,18955022,18947045,13510302,9244156,6054444,6054443,6054450,9244163,9244181,9244178,10532103,10532102,14450302,9941428,6534031,6534027,9941421,14450293,20144858,27037791,35124890,40081439,50102114,49749880,39731058,31052474,31052473,39731057,49749878,61229046,74009840,85370193,85370194,85542472,85542471,86295549,100258369,100258367,97874990,259875769,97874996,111807393,99477388,85530916,71942972,59203846,47804415,47804414,57773285,46419471,36556261,36556262,46419474,57773286,61515729,50036769,50036768,61515727,65767247,256862394,37129965,37129966,256203003,19848396,14220070,9776051,6427870,4032713,2416759,1399078,796380,796379,1399073,2416750,4032694,6427827,9775978,255316617,20813576,14917597,14917595,20813574,24749215,255465508,41181934,40043593,32812446,25109747,18560316,18560315,25109746,32812444,41732942,33478718,256044934,13620830,9326794,9326792,13620827,11920184,7974581,5074696,3077320,3077317,5074675,7974531,255973473,39283192,257519591,38212938,29646404,22294393,255900959,29646406,22294394,22293732,16148965,11219263,7444183,7444182,256336308,7920508 Dl.O(d2) = 262262288,142527724,129151557,115220729,101143542,87145262,73526215,60778017,60778016,73526213,260083529,87116697,73497986,60749109,258217529,60749110,49346175,39416677,255981977,12025460,12025461,17112394,18106945,18106944,24540812,32118462,37946712,37946713,254754426,23382942,30811528,39416666,39416663,39416664,49346161,58426511,47051731,47051732,58426513,60102746,60029098,48636207,38718308,254708642,60029096,255789182,100322462,114349194,128227727,141579161,133960850,120119162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163048, s2 = 11657541, dlinesl.size( ) = 2 s1 = 14163048, s2 = 11657541, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163048, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 1211596, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 558754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1212574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 664275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 664275, s2 = 11394922, int(edited[s2]) = 0 s1 = 664275, s2 = 11394922, d1 = 53, d2 = 47 Dl.O(d1) = 16957644,16957645,23230391,21375389,21375388,23230454,30651884,39247655,49172814,257501649,257501647,270316297,73314560,257928600,269369295,59271572,72007400,259360289,260578699,114956902,258906376,77978793,72007402,257501645,47876079,59271569,72007405,77978800,64784686,64784685,77978797,77978804,258283718,106098318,106098316,91903246,77978795,64784684,256543696,33468369,33468368,42461658,52865580,64784691,77978806,91903249,106098320,120298795,106098347,91903265,257674672,52865585,42461664,255584972,13614517,13614516,19070293,25695480,33468371,256543698,257520384,257226195,64999792,259063543,106098326,91903254,77978810,64784694,64784695,77978812,91903258,106098330,120298803,261992065,272908842,159690556,171005705,262831762,181110693,262361382,171005703,263257712,262831760,181110694,263257706,204124508,197616652,189974034,189974033,274016596,220716426,223312966,225557091,265050148,264574948,204124510,204124505,263987430,265102815,265253902,227509023,265253904,220716413 Dl.O(d2) = 39247608,257597009,60571672,258204729,86924312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 664275, s2 = 11394922, dlinesl.size( ) = 18 s1 = 14164654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164654, s2 = 8430915, int(edited[s2]) = 0 s1 = 14164654, s2 = 8430915, d1 = 12, d2 = 23 Dl.O(d1) = 254143188,1736366,1736367,2122663,3562044,2990428,1737334,987529,987534,1737757 Dl.O(d2) = 274615183,265643600,225484580,265097880,264634106,209435503,203992914,197468313,189804848,180917516,170788633,159449402,260880142,119961888,105726191,91501662,257799320,52529033,42171061,33211484,33211485,31168028,31168029,31766226,31766225,28019526,20853014,14952279,14952280,20853016,28019530,36480808,46336744,268926462,70376130,257466952,258701570,107564247,106816393,92504180,78463899,257255542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164654, s2 = 8430915, dlinesl.size( ) = 2 s1 = 14164654, s2 = 8430915, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164654, Dl.E( ) = 24, 9.78e-06 seconds used appending s1 = 917005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9433587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9433587, s2 = 13989706, int(edited[s2]) = 0 s1 = 9433587, s2 = 13989706, d1 = 1, d2 = 1 Dl.O(d1) = 30228674,22836781,16615281,255258789,9163435,9163434,13403133,18813971,25403606,268275002,5949966,7714287,7714288,11589232,16615280,22836780 Dl.O(d2) = 30228674,22836781,16615281,255258789,9163435,9163434,13403133,18813971,25403606,268275002,5949966,7714287,7714288,11589232,16615280,22836780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9433587, s2 = 13989706, dlinesl.size( ) = 2 s1 = 9433587, s2 = 13989706, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9433587, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1215702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1215925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 232306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 232306, s2 = 9367559, int(edited[s2]) = 0 s1 = 232306, s2 = 9367559, d1 = 29, d2 = 15 Dl.O(d1) = 5674999,8718441,9946182,8003655,5095408,255142915,255975957,39318568,49245529,60646199,73392836,259457499,261248091,155022993,263210199,194725534,201681629,264542617,216318645,212370235,212370234,216318643,219593226,219593227,222359543,224734352,266015697,232840333,233979206,235016574,274776912,266863547,240617281,241089410,267053239,242307884,267195941,243563588,243825996,244069961,244296878,244507702,267369155,245061448,267423877,245519691,245654321,245779537,245896911,275032095,246110382,246208895,246301724,275051867,246821783,246868617,246808082,246745133 Dl.O(d2) = 15519010,10733015,254774854,4463999,254737833,255040719,255842475,37329361,47239114,269786531,66869997,259132137,258844810,99873659,257033604,255986356,38295436,255986358,259796349,270139677,269195173,35200237,27110408,24272439,255339912,12674082,9967790,9967793,9978750,12414364,12414292,12414293,8390616,8390617,9978787,14501760,12414300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 232306, s2 = 9367559, dlinesl.size( ) = 2 s1 = 232306, s2 = 9367559, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 232306, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 8360979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1217294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9134460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9134460, s2 = 15444034, int(edited[s2]) = 0 s1 = 9134460, s2 = 15444034, d1 = 0, d2 = 39 Dl.O(d1) = 7543962,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,7355801,11091377,15977296,17302021,22491634,29856263,27087065,27087066,21092053,21092054,28300476,25088745,25088746,20304063,18543577,13175976,254638905,2190317,254294817,5863807,8981609,13175979,18543580,25088747,29839965,22472385,16302844,16302843,22472383,29839963,28720801,21464585,15463765,10726280,7086888,7086887,10726272,15509567,12171899,11670850,11670851,11454029,7618547,7618546,10781653,7123898,4485375,4485377,7123909,7123987,5256652,5256656,7123645,6889874,4325292,2587708,2587709,4325293,6889876,10451804,15155182,16625409,16625410,254126390 Dl.O(d2) = 30746607,23325237,17059418,17059419,23325241,30746614,39346246,39346248,30746617,30746618,30746597,23325228,17059414,17059413,23325225,268662311,39346219,39346218,49272432,257024378,49272469,49272459,49272458,49272435,49272436,58737453,49272451,39346234,39346233,49272449,39346252,255530700,17059422,17059421,23325244,30746616,39346249,39346172,30746551,23325192,17059386,17059387,23325194,256479553,39346213,30746591,30746590,257024351,60672933,60672920,60672919,73419920,87037002,101032682,101032692,115106715,129035177,142409553,155055244,142409554,129035178,115106722,101032689,101032685,258835239,73419925,87037004,73419930,60672937,257024378,49272469,60672955,73419919,60672938,268972974,39346251,30746619,23325246,17059422,17059421,23325245,30746618,30746597,23325228,23325227,257024353,39346174,39346175,30746644,23325270,23325268,30746640,30746611,23325239,17059418,17059419,23325241,30746614,39346245,49272467,60672961,73419954,87037015,73419940,60672946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9134460, s2 = 15444034, dlinesl.size( ) = 24 s1 = 6711699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1218147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 711036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 862492, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1555431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1185206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163108, s2 = 13197006, int(edited[s2]) = 0 s1 = 14163108, s2 = 13197006, d1 = 3, d2 = 0 Dl.O(d1) = 15996377,11104862,255074587,22107753,23609159,23609158,30260481,22864536,16637312,16637314,22864541,30260490,256043060,35185149,44563387,35185120,27096351,20197045,14491759,14491758,20197039,22089125,15982604,15982602,22089120,28294232,21087131,20196966,14491698,14491697,12673635,8606813,5592973,3469928,3469929,5592974,8606820,12673650,17892223,23422415,17145353,12049619,12049620,17145355,15845401,15845402,11084856,11084855,15969709,22075241,25092113,22075369,22075368,22075269,15969731,11084871,7350832,6918051,6918049,10491238,11085210,7351033,7350814,6915805,4343913,2600945,2600946,4343918,6915821,4344775,4344774,6916728,6915295,6915296,6916261,6916264,10487618,6914911,4343209,2600487,2600486,4343205,6914903,7350904,7350905,11084997,11085051,10487977,6915162,4343388,2600598,2600599,4343394,6915173,6918085,6918086,10488322,6915464,4343635,4343634,6915456,10488251,10489826,15206415,10489021,6916056,6916055,10487640,10487639,6916786,5041942,5041941,7930972,11866423,10487664,6914963,4343244,4343243,2600636,1500422,850383,850382,1500416,2600669,4343520,6915314,4343898,2600938,2600937,4343893,6915771,6916411,6916409,10488471,10488472,10489443,10487967,6915344,4343545,4343544,6915168,6914556,4342924,4342925,6914563,4344750,2601564,2601563,4344742,6916805,10489853,8101000,8101001,10488589,6915704,4343814,4343815,6915707,10488595,10487676,6914945,4343230,2600497,1500322,1500324,2600507,4343256,4343531,4343532,3166589,3166590,2601210,2601212,2602278,4345558,6915570,10488448,6917267,4345221 Dl.O(d2) = 2601174,254329365,254329363,2601163,4344189,4641802,4641801,7349188,10489141,6916154,4642395,2796182,2796181,4642393,267972603,15206544,10489130,7350527,4642914,4345412,4345413,6917436,10490384,12691355,8621611,8621612,12691357,15207474,254757598,5189632,3166320,3166319,254573829,4345415,2602186,1501467,1501466,2602184,4345411,6917435,10490535,15208042,11083811,8102738,5191581,5191580,6917040,4345014,2601780,2601783,4345020,3166939,1854099,1854100,3167107,4652782,7365394,6916992,6916993,8100264,254827633,5189465,5189466,3166310,3166311,3166182,2802411,2802410,4652112,7364609,11104863,15996378,22107754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163108, s2 = 13197006, dlinesl.size( ) = 2 s1 = 14163108, s2 = 13197006, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163108, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 9669996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 920535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1220864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8033061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8033061, s2 = 8767385, int(edited[s2]) = 0 s1 = 8033061, s2 = 8767385, d1 = 14, d2 = 18 Dl.O(d1) = 39448046,49376387,39448066,39448067,49376410,60754890,258218149,39422309,30817045,23387521,23387520 Dl.O(d2) = 211264058,211264057,211264059,274103645,264768854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8033061, s2 = 8767385, dlinesl.size( ) = 2 s1 = 8033061, s2 = 8767385, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8033061, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 1221321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9386220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 921847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13489769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9397394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655728, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 922975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9689516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9689516, s2 = 11022297, int(edited[s2]) = 0 s1 = 9689516, s2 = 11022297, d1 = 6, d2 = 11 Dl.O(d1) = 441322,777641,1364286,2354463,3932865,6102255,6089161,6089158,6114160,6114162,9334341,13631837,13903574,13903577,13901798,9540121,6258758,3918127,3874474,2320172,1345033,1345035,2320179,2353195,2353198,3930672,6277275,6190732,6190733,9443411,13774339,13560315,9284018,268027957,19001080,25614769,33380468,42369475,52768502,64682787,77872396,77778711,64595997,52695388,42308444,33327991,33327990,25567623,18957299,18957300,25567624,256872588,23432722,21231244,15261476,10529645,6944370,4364079,4364080,6944372,10529649,15261483,13536086,9265756,6069007,6069006,4363907,2616430,1510792,1510793,2616433,4366608,6949059,10537192,6960594,6960597,10553694,8110022,8110025,6062439,5198723,5198722,8112929,12061302,9939098,7067601,7067600,8854588,8854587,12059780,17156376,18955031,13518502,267932618,6058405,9250567,13518505,12381092,12381091,17157277,12060770,12060769,8384092,5410386,5410385,8384089,10554507,9243257,9243256,6058170,3790637,2270796,1317016,1317017,2270800,1317040,751475,426964,426965,751478,1317054,2270883,3790821,6058548,5193825,3169172,3169167,5193796,3791676,3791678,6059995,5404673,5404672,8374510,12392263,16800019,12063350,12063348,15474163,15474164,10700581,10700582,15473599,21476194,256136491,42303371,257032655,30860166 Dl.O(d2) = 42303370,42303371,257032655,30860166,23429390,23429389,23429395,255985301,23429391,17152402,12055874,8105642,5193340,3168933,3168934,4377698,4377697,6968184,8109065,6070304,3798022,3798023,6070306,6960592,6960597,10553694,8110022,8110025,6062439,5198723,5198722,8112929,12061302,13523066,13523058,13523027,9254488,9254487,12374676,10700933,255037991,15256864,21227275,18961657,18961656,15280962,15280961,17160033,12063553,12063554,9260592,9260591,9242918,9242917,13508664,18945304,25558174,21242572,254852520,17560297,17560296,254852518,23429388,30860164,257032653,60793573,73540796,87159126,260116063,272260553,125666034,259942534,258073050,46452615,36586689,28114034,20937090,15028898,254740994,6820648,4292958,4278746,2558246,2558247,4278750,6820806,6842683,9086294,9086293,8596900,8596901,12661153,15029735,20937838,28040500,256811667,57711308,258624639,59218261,47819940,37897974,29329421,21999059,15899656,11022367,11022368,15899657,21999061,29329426,37897977,37897978,29329427,29329428,29329429,256374239,47819948,59218263,47819943,37897976,37897975,47819942,52218270,41887055,32951834,25232081,18663197,18663198,13271408,9056253,9056252,10277327,10277326,6811576,4272293,4272291,254480895,4232966,6754763,10277977,10327198,10299815,254482175,2537944,1462406,827719,467198,467195,468976,831485,737235,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206383,4248684,4248683,6778188,5585192,3465149,2054864,1467238,1467239,2546881,4260240,4246489,2538889,1462901,827932,827931,1462899,2538884,4246482,6774723,10302579,14970342,15015642,10343928,6810004,6810005,10343932,15015646,17880452,20978119,15066574,10390328,10390329,10397230,10397232,15074353,17878734,12662285,10988364,8591043,8591041,7273324,4586862,4586864,7273329,5205058,5205057,6846786,4296155,4296154,6846784,10388830,15064825,255798469,36628808,46495372,258014025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9689516, s2 = 11022297, dlinesl.size( ) = 2 s1 = 9689516, s2 = 11022297, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9689516, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 7988747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7988747, s2 = 1223721, int(edited[s2]) = 0 s1 = 7988747, s2 = 1223721, d1 = 25, d2 = 4 Dl.O(d1) = 12046869,8099104,6887123,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,3410892,3410926,3410927,5524414,8525771,255389947,15273510,13537143,254828557,8107887,5194619,3169561,1855672,1059127,1059040,595544,595543,1059034,595601,332072,182859,100283,100282,182853,332054,595570,1059094,1855605,3169424,5194330,8107387,12058101,254652816,17545738,254387520,10541551,10541552,13963624,13963625,10797775,7134387,4491687,2698613,2698612,4491683,7134384,268074609,21638895,28734172,28913131,28480919,21263133,21263132,28480918,28481054,23158303,23158304,21251864,21251863,21208132,21208133,23967166,22848331,21263674,17159192,17159191 Dl.O(d2) = 30864141 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1223722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1223722, s2 = 7988746, int(edited[s2]) = 0 s1 = 1223722, s2 = 7988746, d1 = 8, d2 = 27 Dl.O(d1) = 30864142 Dl.O(d2) = 4458845,7082047,10719485,12393571,12384189,8368507,5400988,3320776,1953337,1953335,3320768,5400970,8368472,254828556,17546013,23729467,255389946,13614515,9322397,6106639,3820904,3820905,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,1583005,1583002,2731886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13439085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1224317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7956222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13507877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2273552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2273552, s2 = 4331927, int(edited[s2]) = 0 s1 = 2273552, s2 = 4331927, d1 = 2, d2 = 0 Dl.O(d1) = 60855320,49453608,39521195,30911627,23475539,23475538 Dl.O(d2) = 166926018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2273552, s2 = 4331927, dlinesl.size( ) = 2 s1 = 2273552, s2 = 4331927, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 2273552, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 7862064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6640076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10166627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9520959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9520959, s2 = 372837, int(edited[s2]) = 0 s1 = 9520959, s2 = 372837, d1 = 10, d2 = 12 Dl.O(d1) = 181528043,184735876,175160133,164369548,152504272,139785706,126411722,112541967,98547801,84623770,71060363,58344189,46975102,37092090,37092091,46975104,58344191,71060365,84623771,98547803,112541969,105098951,91249777,77330124,64182840,52332655,41993417,33049986,25321555,18742712,13342609,9116091,9116092,13342612,11556070,11556069,16574984,13345787,11053469,11053468,11556166,254545125,2932267,2932269,2934334,1701789,967402,967403,1701792,2934343,4869593,4814691,4814693,7610348,4903580,2955547,2955546,4899894,2953126,2953127,4899900,4906062,2956987,2956988,4906065,4869161,4869159,7694172,11439271,11555685,7692289,5966087,5966088,9118195,11416391,16399956,16416707,11432434,11432433,255101997,11432340,7606350,4812119,2900112,2900113,4812124,7606357,255102779,12838309,8730272,8730273,12838312,11430351,7599028,4807154,2897247,1681166,1681167,2897252,4807160,7599038,7591305,7591304,7591291,7591292,11421210,9133333,5976866,5976867,9133335,13364220,13364218,13364219 Dl.O(d2) = 91278873,105501014,119739440,261428901,146869790,159243159,170580379,263713903,189608370,197296046,263496694,263097576,175169491,164380042,152516059,139798829,126425710,271770270,98563244,84640039,257440820,256321764,28597478,37105507,46990273,46990297,37105523,28597486,21364680,15385546,10632560,7018577,7018578,10632561,15385547,21364683,28597491,37105533,46990304,46990306,58360468,71077113,61206588,53172179,42722511,42722510,49727886,39709311,31032374,31032373,23551241,17243165,17243163,23551238,31032376,39709312,42611819,256152833,19147151,13671822,9362473,6132615,3836743,2298561,1333695,761666,761667,1333698,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,2297375,1333015,761272,433053,433051,761263,1332994,2297344,3834597,6128921,6128981,3836738,2298559,2298560,3836742,6079739,3804224,3804227,3810461,6090134,9296925,6132721,3836798,2298590,2298589,2298615,1333717,761675,433310,433311,761679,1333726,2298633,3836878,6132753,9362686,13672088,19147489,25792386,25640534,25301297,18726683,13331236,13331234,18726677,255686795,255686797,33588230,42612194,53059932,65042850,78322781,92356463,106661105,120914189,134713005,147839267,160093818,160109015,147855427,134730418,120932829,259695029,78345327,65066463,53083717,42635444,256671357,25811126,19162791,13683780,9370940,6138280,254661973,13683779,19162790,25811125,269097679,53083715,258437899,78345325,92377698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9520959, s2 = 372837, dlinesl.size( ) = 2 s1 = 9520959, s2 = 372837, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9520959, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 9463260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13239617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13422827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6490556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490556, s2 = 7956591, int(edited[s2]) = 0 s1 = 6490556, s2 = 7956591, d1 = 63, d2 = 71 Dl.O(d1) = 255149428,23862752,31356467,23863011,256522695,29222315,21907016,21907015,17260820,12140586,12140585,17260819,23572024 Dl.O(d2) = 254378047,1806537,1806539,1780515,1030820,580889,578501,323591,323592,578502,1026761,1799422,3083348,3076196,1794776,1794775,1799735,1573236,1573237,2715120,3084709,3478347,5086636,7991543,7939353,5049239,5049240,7933946,5048369,5042759,3053308,1781087,1781086,1789327,1789326,3067017,3091176,3087357,3087358,3066777,3056747,1806348,1806347,3091865,5065846,3069980,3069979,3077188,3063149,3055917,1792886,1022669,1022668,1792878,3073563,5061851,3087327,3057094,1796998,1025396,1025395,1796993,1786657,1786656,2469145,4127705,5077295,3079329,1797010,1025419,577801,323270,323271,577805,1025429,1797052,1780242,1015130,1015132,1780271,1794663,1785064,1017921,1017918,1785060,3062317,5054857,5083662,7937419,5047640,3057757,3057758,5047641,3062044,1784897,1784898,3062050,3061813,3061811,5054060,5060009,3065646,3065647,5060011,7955453,11896741,16982889,13713797,13713798,254255584,11879871,16967897,17004508,16984288,11898574,7983152,7983151,11671932,11090394,7355150,4646188,2798731,2798732,4646193,7355161,5061264,5061263,7957367,11898930,12012051,8070031,8070033,11969595,11969596,17061277,12011998,8069981,5164190,254258363,1050510,1050511,1840838,2368911,2368910,3955781,6311598,7997573,11928885,11928884,11260411,11260410,16198680,12360495,8351546,8351548,12360497,16974830,11887592,11887593,11947162,7997035,7997036,11947166,11988118,17075346,13190227,8991808,5870618,5870617,6000378,5870677,5870676,8039503,8039504,11941514,7998237,7998236,8991702,8991734,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774656,10774655,11876563,11948321,11930097,11871053,11871051,11932337,16995769,11910091,7966600,5068519,5068518,7966596,254130928,11741506,16727721,11894988,7953970,5058946,5058943,7953961,11894980,7956310,7956312,11897673,16983549,23248076,17099447,12013487,12013486,254561522,11865651,7930244,7930243,8071475,12013563,16968056,11880029,11880030,15976007,11090358,7355123,7355122,11090356,11090368,11090366,11942153,17017635,17017634,21694184,15653882,15653881,21694182,16966108,11877962,7940473,7940472,7946368,7946369,5164839,3147324,1841059,1050624,1050623,590971,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790321,11682606,11867048,11867047,11927595,16969118,16965853,11877702,7940309,5049924,3059690,3059691,5049929,7940317,7935006,7935007,11871127,8351616,8351615,254389814,22958726,16722876,16722875,16975949,17528165,12362019,12362020,11917211,11917212,17004176,17015867,11931391,7984441,7984442,11931400,11939955,11885987,7946465,7941343,7941342,7954794,5059547,3065342,3065343,5059550,7954801,11895939,16972163,11924794,7978735,5077900,5077899,7978734,11924791,13545814,9273327,9273328,256655447,52721121,48740155,38819909,30236458,22843269,22843270,30236463,26118108,19424776,19424775,26118103,33955233,43012083,53490392,53490393,65513986,270577145,107357602,262935722,74010134,74010133,87614295,101581356,106079037,91883340,77958214,64762918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490556, s2 = 7956591, dlinesl.size( ) = 26 s1 = 7856434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655892, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9660120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9660120, s2 = 14055712, int(edited[s2]) = 0 s1 = 9660120, s2 = 14055712, d1 = 31, d2 = 0 Dl.O(d1) = 27983213,27983212,33114650,33114649,32853655,25146818,25146819,32853656,41774444,41774383,32853619,32853620,41774384,52088021,63907140,256132696,33114654,25379437,18794676,18794677,25379439,33114656,41774407,52088047,52088098,52088099,54626295,43883886,34612615,26623534,26623533,256723065,52010044,41698391,41698392,52010048,63825844,259629449,81495192,257928147,55623569,68011441,81495195,94369113,80312863,66883782,66883781,80312862,72404109,59668563,59668564,59668550,48280828,48280827,59668547,64541654,64541653,77723551,91651072,92910258,78804127,65474073,65474075,67682275,67682274,72404123,72404116,72404117,81148408,67682256,55342454,53454289,53454288,65474072,67682277,55342472,44496217,35118986,27032185,268549875,55342468,55342479,44496224,35118991,27032191,20139458,14445498,9937733,9937734,14445499,20139459,27032193,23457562,17179329,12079023,8122468,8122469,12079026,15199938,10483732,10483733,15199939,21155560,23106956,23106955,30524488,39122654,40491371,31796462,31796463,40491372,40491350,31796448,31796449,40491352,49428920,39497575,39497571,39497572,49308270,49308271,51202800,42280346,33298980,256650695,52257520,42280030,33298650,33298649,42280027,256824038,71366879,255371976,46491125,57847132,57615759,57615760,70306361,83831508,97689243,86905973,73295672,60552452,49152935,49152937,59342478,70549123,60854026,49452332,49452333,53134633,54871841,58355824,46986114,46986113,55677357,44768264,44768265,55677360,55682186,68080786,81570506,95603950,86456596,73458831,60710539,60710538,73458830,67191283,255492432,34754663,34754664,44071405,54871845,60790575,71072402,257175566,37101924,37101927,46986324,58356092,71072423,84635412,84943922,71367679,58631018,58631017,47237944,47237943,58631210,71367838,84944028,71459349,58729466,47341521,47341522,58729467,71459353,72076338,61238233,49759270,39740648,39740649,49759274,61238242,256977516,62835898,75800045,84943429,80665960,80665959,84943444,84943445,83847765,83847766,97707187,100413650,100413651,103713805,89597877,75815664,270459283,258379074,62835792,51185785,51185786,51185798,41029407,32236950,24639124,24639123,32236949,255907840,23781611,17451374,12301959,12301958,15640425,15640424,17463546,17717604,255582157,25126183,18573703,18573702,25126177,32831110,41752067,41752064,52066079,59181801,59181800,70949853,58232662,46864775,46864773,256971712,44619327,35237092,27141302,20233442,20233441,27141301,255929986,256971710,74052370,61272508,49793501,39773648,31095283,23611522,269390162,267994419,255548385,31095287,257020445,30697687,23282142,23282143,28151603,28151604,36625032,41737714,32816770,25113261,25113260,32816765,41737703,52052549,41737727,41737726,41751891,41751929,32830979,32830980,41751932,52065904,52065802,41751852,32830933,32830932,41751848,52065796,48350363,38448076,38448073,48350361,59681310,59734526,72470258,259394705,76994811,72470238,72470237,63884177,59181746,59181747,55468397,55468399,67810156,81277751,81277752,95336556,90860520 Dl.O(d2) = 1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,835995,1478914,2568739,254488067,10389723,255372361,28156647,36630867,46497585,258014221,269371923,39346436,30746877,30746878,39346439,49272579,59127998,47729487,37807646,29938787,27068005,21924089,15838316,10975469,10975468,15838312,21924057,29243563,37807818,37807826,35153912,35153913,35143494,35143495,44519852,44530453,55375294,44529185,35153074,29586308,29586310,35153120,27067399,20172861,20172862,27067405,20173270,14473843,14473841,20173263,27067968,27068434,35154268,44530448,55376641,55376683,67716372,268829154,60805525,73552374,87170714,89790758,76014121,74469567,74469566,73552116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9660120, s2 = 14055712, dlinesl.size( ) = 8 s1 = 7985649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 939243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6691297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1232349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8079510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8079510, s2 = 15054579, int(edited[s2]) = 0 s1 = 8079510, s2 = 15054579, d1 = 17, d2 = 13 Dl.O(d1) = 60813162,73559602,87177413,73559619,269466010,257615535,64604180,77787098,91714848,78402232,78402231,78402235,92438527,87177220,258354144,60813051,49412898 Dl.O(d2) = 30877681,30877682,39483137,49412900,41945809,33003950,33003948,41945800,52286333,64138266,73559554,73559553,87177354,91207210,105429407,91207309,77287249,64138337,64138336,73559615,85381541,99325776,113328689,123628402,129181081,115250962,101174351,87177320,73559520,60813109,49412864,49412866,60813112,73559471,73559462,73559463,87177266,101174312,115250932,129181062,115251011,101174436,87177417,73559605,73559607,87177420,101174439,115251012,104217083,104217084,100821181,86839869,73227138,60480585,60480584,64138261,60813167,49412902,39483139,30877684,23447248,23447249,30877686,35251773,27153081,20242100,20242101,27153087,33014910,41957353,39030343,39030344,48952044,48952042,39030357,39012064,30422684,23017463,16777211,16777210,16777212,23017464,30422685,39012065,48935458,60333325,72356509,71407892,58673682,48369492,38467930,255918073,22553448,29910256,38467935,37480101,28938062,28938063,268618435,10774266,10774267,15575688,21603605,28879019,268924865,271341932,72486288,269345953,38467915,256957645,38467892,48369454,59752010,257184629,37420370,28878730,28878731,37420372,47328580,48369451,38467886,29910223,23667471,23667472,256506299,256233440,39152949,268832340,257925402,61345106,49861920,39838222,31155295,23667470,23667469,23634097,23634095,31120542,39497627,30890304,29250638,29250637,31920667,24387920,24387921,31120540,23634094,23634093,31120539,39801023,42283230,33302247,33302248,268695857,268494875,25540067,255308828,38096548,29532489,22189639,16062037,11152843,7397514,4673329,4673327,7397507,11152829,16062025,22189620,29532456,23601858,22189590,16062007,11152819,11152818,16062002,22189581,29532415,38096504,48008156,59396577,65103026,257053834,42664278,53116293,65103024,78386729,92424016,87736175,74130347,61348477,49866347,48517815,48517814,59910929,49866349,256002494,48517760,59910907,61348191,61348192,255551432,36496599,28033854,20866032,14963896,14963897,20866035,21189791,21189792,23671962,255163829,8253419,8253420,12224295,17352763,23671965,31160393,38603042,31160418,28410022,21188575,21188574,28410021,36907312,39844075,39843715,31161033,31161032,28409987,21188538,254840792,10502679,15225930,15225956,12224992,8253863,8253864,12224997,17353691,19128986,17353672,17353674,23673046,31160371,31160370,23672046,17352825,17352812,12224341,8253454,8253453,8253428,8253426,12224301,17352778,12224975,8253854,8253855,12224978,17353639,23671969,31160403,31420137,31420138,40100157,41133425,41133424,51317043,46785037,46785038,47339121,47339120,49863283,46781046,46781045,49863558,39840448,39840449,47411897,47411898,47411917,37504356,28961222,28961223,37504362,39840339,31157821,31157820,39840332,31158690,31158689,39841365,39840055,39840054,31157774,31157775,255163822,12223603,12223602,17351862,23669533,23669532,23672745,28410150,28410149,254840940,49862407,49862406,49868512,49863251,39840046,31157484,23669922,17351214,17351216,23669590,23669589,23671809,17352603,12224150,8253300,8253301,12224153,17352606,23671815,31160240,39840079,31157516,31157513,23669548,23669547,23669655,17351030,17351029,17351831,12223579,8252828,5323907,3272140,3272142,5323912,8252832,7123133,7123134,10780512,15584026,21613285,17351848,17351759,12223523,12223047,8252449,8252448,7123171,4484923,4484921,7123163,10780552,15584109,21613406,23675072,23675071,31154619,23666912,23666913,31154625,23671804,23671806,31160235,31155288,23667461,17349300,17349301,23667466,17351044,12223026,12223027,17351048,23669681,17352595,17352593,12226189,8254732,5325301,5325302,8254733,12226191,17355322,254586938,23675003,17355278,267799008,31163501,39846015,49868513,49864550,39841446,31158782,31155143,23667358,23667360,31155151,39838042,39840557,39840558,49863691,49863675,49863676,49863546,39840434,39840433,49863542,49868554,49864685,49864686,39843557,31160832,23672409,17353138,17353137,23672404,31159657,39842430,49864672,39841616,39841615,49864666,49863611,49863609,49865522,39842512,39842513,49416420,39486911,39486910,31159731,23671329,23671328,31159726,38876992,30291105,30291106,30752828,39353293,49280032,49861750,39838048,39838046,49861741,59519539,61344674,61344672,61345003,59519551,48132259,48132260,59519555,61344927,49861685,49861686,49864693,39841628,31158974,31158973,39841621,31160825,31160826,31159661,23671290,17352196,12223846,8253059,8253063,12223856,17352214,23671317,31159701,31159717,23671322,23671321,31159712,31159751,23671340,17352223,12223865,8253068,8253070,12221517,12221516,11972102,11972104,17063709,23330436,30752838,39353309,49280055,60680880,61739346,61739347,59324685,59324684,59512422,72246903,61347873,49865581,39842604,31159780,31159781,39842454,39842452,49863586,39840475,31157953,31157952,39840470,39838094,39838095,49861801,49865497,39842483,31159688,31159690,39842463,39842462,38342588,38342589,48253053,59639975,49861792,39842590,31159769,23671355,17352242,12223875,12223876,16244182,22407377,29647343,22295254,16150169,16150168,22295249,29647334,38213959,48124328,255163518,48252435,39845796,39845797,49868273,39845786,39839856,31157248,31157249,39839849,31157265,31157069,23669172,23669171,256002276,39840432,39002422,30412944,23007942,23007943,30412945,35249526,27151199,20240663,14524016,14524017,20240666,27151209,35249536,269196697,67825506,59639575,48252372,38651984,30075577,22695033,22695032,29770253,22406759,16243774,16243773,22406757,29770251,31157137,23669222,17350723,17350726,23669230,31157152,38342544,29771161,29771162,31156628,23668745,17350384,17350383,23668742,31156623,31156638,29771144,22407513,16244310,16244311,22407519,29771155,23669059,17350698,17350699,23669179,31156589,39839344,49862755,48252632,38341997,29770564,29770565,38342000,48252287,38341561,29770128,29770129,38341566,38341721,48252400,256002528,48253005,256506408,38341524,38341525,48252223,59639502,59639672,48252872,38342325,29770892,29770891,29771321,29771322,268946471,38341462,29770054,29770053,29771657,29771656,36625081,36625080,46491466,38342935,29771604,22407941,16244637,11293646,7498189,4739815,4739818,7498196,11293651,16244644,16244658,16244657,22407979,22407621,16244380,16244379,15531448,15531449,16244988,22408026,22408027,29770213,22407167,22407165,22408223,22406841,16243824,16243823,16243829,16244797,22406884,16243856,11293114,7497892,4739666,4739667,7497894,4739786,4739785,7498127,11293533,16244446,11293515,7498118,4739779,2856560,1657857,943309,532005,298331,165231,165232,298336,532017,254167353,2856611,4739870,7498286,11293783,16244820,16244178,16244176,22407361,29770992,29771838,22408199,22408200,28818949,21549605,21549604,16244724,11293696,7498229,7498232,11293706,16244155,21550070,21550069,28819477,21551074,16244771,16244772,15531908,15531907,21549597,15531389,10741646,10741645,267965417,254504337,268073553,21549788,21550580,255042057,10742038,15531951,21550583,28820023,21550539,255042053,7097270,7097269,10742004,15531911,15531934,15531354,10741620,7096998,7096999,10741625,15531362,15532406,10742400,7097542,7097541,7097529,7097528,10742382,10742450,7097571,7097570,10742445,15532482,21550885,21550159,15531613,15531614,21550162,28819562,28820066,37359310,268387025,21550192,28819590,28820288,28820289,37359951,37360149,37358980,28820265,21550795,15532146,255411995,15531736,10741887,7097187,4468512,2684631,2684632,4468516,2684797,2684796,4468838,4468835,7097823,10743172,15534161,21549821,15532101,10742180,10742179,15532099,10742249,7097435,4468678,2684712,2684711,4468676,7097429,10742240,15531802,15531801,21550362,21550743,28819256,21550368,21550369,28819818,28820316,21550866,21550867,28819852,21550402,21550400,28819738,28819737,21550765,15532122,10742191,7097402,7097403,10742197,15532130,16235748,21550349,28819806,28819711,21550284,15531731,15531732,21550291,28819729,37359463,256336523,28819839,37359557,269318761,258693033,98895296,84969759,71395329,58660724,47269379,37359445,37359446,37360175,37360173,29756491,29756489,38325939,37360191,28820539,21551064,15532345,10742353,10742351,15532343,21551059,28820531,28819879,21550439,21550433,21550432,21550447,22395804,16235778,11287699,11287698,16235775,22395713,255737762,37360165,30200448,22809662,16592236,16235709,255091557,11287665,11287729,11287730,16235834,22395873,16235874,11287753,7494503,4737593,2855361,1657161,1657162,2855365,4737601,7494520,11287788,16235943,255909471,22395678,16235694,11287648,7494448,7494449,11287593,7494422,7494423,11287600,16235588,22395519,22395989,29756271,22395705,16235711,16235712,22395706,29756274,38325761,48235546,53256646,42803774,255386836,19296707,255021536,255394206,17663380,17663379,24010081,31509973,33771722,25962350,19296706,19296705,256681201,48235649,38325910,38325911,48235651,48235427,256305588,29756107,38325604,257303326,29756332,38325810,48235573,55222371,50218126,50218127,59445519,48053856,38140323,38140322,48053855,48235536,42900582,42900581,53366669,55222397,44371276,44371275,44499272,35121707,34992856,26911511,20027312,20027313,26911513,34992861,37225611,31509956,31509957,40195788,50204558,40181575,31496856,31496855,37630825,29080526,21782689,21782688,29080524,37630822,44371312,40181658,40181659,50204598,44398807,44387810,268046210,31496853,26928714,26928715,34994110,34994129,43884627,34613429,34613428,43884626,255322416,71223532,84792170,98719772,255737782,72802171,254685080,64418291,52543986,254468276,26912665,20028273,14345305,14345306,20028277,26912675,22773539,16558648,11541793,11541792,16558645,22773534,30162623,38746017,48667785,55238003,268172922,55222001,48667782,48667783,44370279,38746021,30162626,30162627,38746023,48667789,44370877,44370878,268436820,55221456,255737934,60063671,48667867,38746086,30162682,30162680,38746083,48667866,48667178,38746304,30162877,30162876,30162470,30162468,30162734,37750585,30162434,22773398,16558564,11541747,7678571,7678570,11541741,16558558,22773388,30162417,38745795,48667562,60063943,48667652,38745906,30162526,22773455,22773452,30162520,28360675,28360674,36858757,42607251,42607250,53055024,60063752,269634950,28360858,21145414,21145413,28360853,28360801,28360802,21145390,16558550,11541735,7678566,7678567,10479215,15192761,21145405,28279708,21075024,15138343,10440887,10440886,15138341,21075020,25787396,19142717,19142718,19051611,19051609,25672707,33443019,42435911,38745997,38745998,48667771,46740477,36858885,28360783,21145368,21145367,28360777,28360762,21145362,21145363,255811197,15192716,10479194,6909167,4339317,2597795,1498598,1498599,2597797,4339324,6909178,10479211,15192754,21145398,28360829,36858945,38745718,30162380,22773364,254969692,36775780,38745565,48667290,52840831,60063695,58110449,46740360,46740362,58110455,53055083,42607301,42607303,38745722,33443014,33443013,42435901,38745661,30162340,22773328,22773331,30162344,38745668,38745770,38745771,38745762,30162396,30162395,38745756,38745497,38745496,39507068,48668046,53054896,60063506,58110713,46740594,46740595,46740356,38745537,30162253,30162251,22773286,22773284,30162262,38745551,256979441,38745284,48667011,60063471,53054869,42607114,33583103,33583091,25787353,19142690,13668356,13668357,19142691,25787357,33583096,42607102,53054851,65037686,257549316,70748462,72801741,60063796,48667364,48667363,60063793,49355808,39426112,39426111,49355807,59613291,48227297,38317808,29748833,29748834,34994122,30162134,22773211,255487650,38745353 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9469438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1232906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1232906, s2 = 7935186, int(edited[s2]) = 0 s1 = 1232906, s2 = 7935186, d1 = 7, d2 = 14 Dl.O(d1) = 31135448 Dl.O(d2) = 254339378,254744208,41702812,32787028,32787029,29315856,21987544,21987546,28118734,36591626,46438007,36573176,28101760,255093862,38429015,48167281,47894784,47894783,59290365,48335759,48335758,39774699,39774698,255049374,49070107,39139978,38217776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1232906, s2 = 7935186, dlinesl.size( ) = 2 s1 = 1232906, s2 = 7935186, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1232906, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 1571378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1571378, s2 = 1174066, int(edited[s2]) = 0 s1 = 1571378, s2 = 1174066, d1 = 8, d2 = 14 Dl.O(d1) = 39827342,31145000 Dl.O(d2) = 38428451,29866345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1571378, s2 = 1174066, dlinesl.size( ) = 2 s1 = 1571378, s2 = 1174066, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1571378, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 1208247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1208247, s2 = 16174684, int(edited[s2]) = 0 s1 = 1208247, s2 = 16174684, d1 = 1, d2 = 1 Dl.O(d1) = 30566486,257010181,60497644,257590941,49094129,39164176,268658101,23149128,255134501,7896246,254374489,1766588,3035154,5017178,254813137,12216675,17343182,23660038,31146824,257052969,61335193,257218749,33461139,25689153,19065138,19065140,25689156,32417387,24791532,18308445,12996223,8847866,8847867,254506528,12305691,17455851,23786720,31272291,39947141,49964055,61442220,74222030,87827040,101801018,115847223,129746357,143076075,260544394,153539364,140863354,127507712,258217370,257609782,72088641,59355336,47964390,38051262,38051263,29487682,22149380,16030325,11130700,11130701,16030327,22149384,25576649,18967913,13532353,9262394,9262395,13532355,18967916,18967907,18967908,25576641,33336184,42316625,48690606,48690605,60086627,72823731,86418527,100374192,114397217,128273277,141623656,154279383,166032026,176672610,263573301,201325209,203158759,263686844,179657783,169423634,158008567,261391786,118520276,104336257,259610400,76355470,63324192,51600665,41375712,32526489,256089482,18384531,18384530,16073208,11161560,7403643,4677273,4677278,7403680,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,1939469,1107841,1107842,1107830,1107829,1939445,3297610,5364129,8313253,255171547,23790251,31275977,39367015,38108624,36640012,28164958,28164956,28479800,36846754,28349518,22794175,16577642,11558331,11558330,16577636,15568033,15568034,21594870,19000879,13560121,9283865,9283862,13560117,255675779,33380164,42369157,46731529,58103282,70820140,84378890,71438057,58706550,58706548,58706547,58706552,47317621,37409146,28867990,28867989,37409145,47317619,258071221,85010907,98936491,112925915,126780389,140130825,152825154,262669677,184964515,263705279,180528698,262453805,146692267,260848607,77204235,64063213,52221852,41890598,32955283,25235381,18666331,13274514,9059268,5923129,3703729,2218292,1287051,1287050,2218290,3703721,5923118 Dl.O(d2) = 30566486,257010181,60497644,257590941,49094129,39164176,268658101,23149128,255134501,7896246,254374489,1766588,3035154,5017178,254813137,12216675,17343182,23660038,31146824,257052969,61335193,257218749,33461139,25689153,19065138,19065140,25689156,32417387,24791532,18308445,12996223,8847866,8847867,254506528,12305691,17455851,23786720,31272291,39947141,49964055,61442220,74222030,87827040,101801018,115847223,129746357,143076075,260544394,153539364,140863354,127507712,258217370,257609782,72088641,59355336,47964390,38051262,38051263,29487682,22149380,16030325,11130700,11130701,16030327,22149384,25576649,18967913,13532353,9262394,9262395,13532355,18967916,18967907,18967908,25576641,33336184,42316625,48690606,48690605,60086627,72823731,86418527,100374192,114397217,128273277,141623656,154279383,166032026,176672610,263573301,201325209,203158759,263686844,179657783,169423634,158008567,261391786,118520276,104336257,259610400,76355470,63324192,51600665,41375712,32526489,256089482,18384531,18384530,16073208,11161560,7403643,4677273,4677278,7403680,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,1939469,1107841,1107842,1107830,1107829,1939445,3297610,5364129,8313253,255171547,23790251,31275977,39367015,38108624,36640012,28164958,28164956,28479800,36846754,28349518,22794175,16577642,11558331,11558330,16577636,15568033,15568034,21594870,19000879,13560121,9283865,9283862,13560117,255675779,33380164,42369157,46731529,58103282,70820140,84378890,71438057,58706550,58706548,58706547,58706552,47317621,37409146,28867990,28867989,37409145,47317619,258071221,85010907,98936491,112925915,126780389,140130825,152825154,262669677,184964515,263705279,180528698,262453805,146692267,260848607,77204235,64063213,52221852,41890598,32955283,25235381,18666331,13274514,9059268,5923129,3703729,2218292,1287051,1287050,2218290,3703721,5923118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1208247, s2 = 16174684, dlinesl.size( ) = 2 s1 = 1208247, s2 = 16174684, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1208247, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7964352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7964352, s2 = 1202697, int(edited[s2]) = 0 s1 = 7964352, s2 = 1202697, d1 = 12, d2 = 19 Dl.O(d1) = 85406303,255800256,50557319,50557320,48202853,38293463,29726550,29726549,38245057,29680255,22328786,16182602,11248386,7466680,7466681,7986670,11272122,11272143,254220598,22370023,29726634,29922069,38482085,48384668,39288593,30691379,30691380,30691424,38293403,254716154,38310886,48220753,49852337,39829015,31146905,23660121 Dl.O(d2) = 30444924,30764276,39034222,47676459,47676458,59076768,260563011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7964352, s2 = 1202697, dlinesl.size( ) = 2 s1 = 7964352, s2 = 1202697, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7964352, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 8044176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8044176, s2 = 9115350, int(edited[s2]) = 0 s1 = 8044176, s2 = 9115350, d1 = 91, d2 = 83 Dl.O(d1) = 255172040,12033905,17124000,23395851,254847758,49357684,49357672,49357673,60760968,67663830,55323783,49357681,49357682,41905415,32966044,25244184,25244185,32966046,32966050,41905426,52242707,64090194,64090191,64090190,64090189,64090188,73445019,64733936,64733937,255357916,61261003,61261004,52818194,52818195,64733906,74040705,64733950,60790284,255782898,77924841,65765146,53708238,53708241,65765148,64090170,64090169,77234571,73445079,60697158,60697159,73445083,87062540,73445052,61407118,49927619,49927620,61407122,74186857,65765143,57977203,46600016,46600017,57977205,60697160,49295749,39368329,30766729,23343539,17077432,17077433,23343541,30766733,33507590,25729102,19097293,19097292,25729100,256665383,52915997,64840808,52915995,42506533,42506534,52915996,60228327,49859240,255560886,31152940,39835608,49859242,49859207,39835577,31152944 Dl.O(d2) = 36872954,28376276,21159000,15203023,15203022,255812525,36872952,35217080,35217077,44597942,36750845,36750844,46637514,42022368,42022367,46818459,58184885,51096771,40953619,32174020,24587907,24587909,32174024,35217466,35217467,41334543,32486605,31500072,31500073,24002178,17657492,17657493,24002181,25347674,33078080,42022015,51079825,40938061,32159880,24575429,24575428,32159878,40938058,51079822,59745029,59830614,48444348,48444349,58930992,47548637,37642316,37377211,37377214,35217316,27124322,27124321,30243836,30243835,38827225,47808055,37884629,37884628,31498645,24001033,24001034,31498648,40183459,50206236,40185185,31500117,24001991,17657385,12486489,12486480,12486484,17657375,23562587,23562586,28064275,27123372,20219528,14509185,9983919,9983920,14509192,13363654,9132898,9132899,13363663,18767218,25348978,29675335,22324423,16179163,13363701,9132917,9132918,13363703,255657395,17657492,17657493,24002181,25347673,33078077,42022013,48262208,40197812,254969068,17664556,17664558,14989694,14989695,20893625,28064274,256814297 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7806141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 932391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 932391, s2 = 14162856, int(edited[s2]) = 0 s1 = 932391, s2 = 14162856, d1 = 1, d2 = 1 Dl.O(d1) = 23673681,255020854,255020852,42193774,39007077,30417787,30417786,256999533,60328992,73069821,86674806,270588884,257259784,70569178,84105781,97980189,111918611,125737179,139076839,131689696,117862300,103708367,89592812,75810700,62847151,51197847,51197846,53094120,50339893,40314042,31625631,24120244,24120243,31625628,40314036,41041906,32249177,32249178,41041908,41041891,32249158,24650536,24650535,32249155,41041885,51197840 Dl.O(d2) = 23673681,255020854,255020852,42193774,39007077,30417787,30417786,256999533,60328992,73069821,86674806,270588884,257259784,70569178,84105781,97980189,111918611,125737179,139076839,131689696,117862300,103708367,89592812,75810700,62847151,51197847,51197846,53094120,50339893,40314042,31625631,24120244,24120243,31625628,40314036,41041906,32249177,32249178,41041908,41041891,32249158,24650536,24650535,32249155,41041885,51197840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 932391, s2 = 14162856, dlinesl.size( ) = 2 s1 = 932391, s2 = 14162856, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 932391, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 1234318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6556725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6556725, s2 = 1890866, int(edited[s2]) = 0 s1 = 6556725, s2 = 1890866, d1 = 96, d2 = 8 Dl.O(d1) = 255931594,17370676,23693236 Dl.O(d2) = 48922654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6556725, s2 = 1890866, dlinesl.size( ) = 8 s1 = 10164467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10164467, s2 = 14162859, int(edited[s2]) = 0 s1 = 10164467, s2 = 14162859, d1 = 0, d2 = 0 Dl.O(d1) = 24054582,31559188,40245444,35199475,27109646,27109647,30595489,23176562,23176563,254532092,23031022,30437685,30437690,39027206,48949730,49120611,39192736,30595513,30595512,39192732,48825637,38903417,30316468,22916071,16682683,16682682,22916070,30316466,38903415,43033040,43033039,53511520,48949745,48949746,39863034,33977610,33977608,43034538,38968854,31180584,31180583,39863018,48949761,48225719,48225720,46732670,46732669,43034101,33977237,33977239,41992383,41992384,48949733,55424638,53511076,53511075,53512242,53512244,255908910,53510979,65535832,61366091,49885313,39863061,31180610,31180609,39863058,43032729,53511211,52331733,49885347,49885349,61366103,53510877,53510876,43033743,39863101,31180633,23690906,23690905,31180629,33975295,33975296,43032295,52331653,43033153,33976204,33976203,43033148,53511079,51096931,51096933,58104262,58104261,64181983,52331741,41992323,33048898,33048897,41992321,43033143,33976196,33976195,43033141,43033078,43033077,53511063,43032541,257055205,268437309,17368333,17368334,23690902,31180621,39251364,30655618,30655619,39251367,49176411,50265090,53512239,43034012,33977122,33977120,39027235,39027238,33976216,26137355,256174139,43032457,43032456,41992336,33048904,25320539,25320538,33048902,41992332,43033086,33976137,26137301,19441329,19441330,26137303,26136912,26136913,33975721,33975590,33975588,26137971,26137973,32300146,31270116,23784843,23784839,19441801,13912035,9548038,9548039,13912038,256174167,33976847,33976846,43033777,53510989,43032462,33975500,26136662,19440792,13911247,9547489,9547488,9547524,9547498,9547499,13911265,19440810,19440860,13911975,13911974,13911991,16985454,11899960,11899959,13911482,9547661,6264245,6264246,6264680,6264681,9548268,9547825,6264374,6264375,9547830,13911146,13911144,19440646,26136473,26137045,19441144,19441142,19441181,13911590,13911529,9547742,9547412,9547413,9547970,9548065,13912080,13912147,13911419,9548064,6264539,3921895,2347619,1359809,1359810,2347625,3921906,6264524,6264525,9547506,13911001,13911002,13911176,13911110,9547385,6264065,3921611,3921610,6264059,6264251,3921725,3921712,2347526,2347523,3921704,6264222,9547398,13911135,9547779,6264341,6264043,3921600,3921599,6264038,9547346,9548292,6264726,3922003,2347686,1359854,775092,775090,1359786,1359787,2347566,1359797,1359798,2347594,3921845,6264450,6264610,6264488,3921862,3921861,6264485,9548003,9548018,9547266,9547267,9547287,9547278,9547279,13910987,13911121,9547392,6264072,267938993,13911125,13911862,9547905,9547904,13911052,9547330,9547329,13910968,13910970,19440461,19440566,13911060,13911058,19440560,19441042,26136935,19441041,13911456,13911457,9548331,254949947,6264424,3921834,3921835,6264364,6264363,6264175,3921668,2347504,2347507,3921670,6264182,6264579,3921919,254458809,9548117,13912155,19441935,26138049,26138051,23714401,23714400,31202182,39882156,43032216,43032214,49903093,49903092,39882166,31202195,23714406,17390529,12254865,8276391,5340156,3282383,1930523,1930521,3282379,5340155,8276383,12254846,17390454,255554891,31202077,39882075,43034073,49903160,61383649,74164330,258137292,54695723,49816555,49816558,50033540,40330539,31641652,24134853,24134854,31641662,40330561,34670571,26677323,26138292,26138293,33977162,42912422,43941202,34670638,34670640,40330489,257092089,61841428,61296567,60518076,60518077,55424830,44577645,38331757,38331756,47386866,47386862,47386861,58774154,58774155,49116658,39187989,30590423,30590422,39187987,39187883,30590338,256467339,256810740,39187871,49116537,49116618,60518506,60518498,49116603,39187932,39187930,37419420,28877886,21602745,21602746,28877891,29393475,29393473,29393467,29393468,29227548,21911442,21911444,28521516,21570932,21570933,28842167,29925100,29925101,29393483,22063122,15958637,15958638,22063127,29393492,37958082,47876057,42676992,39015953,30427060,30427061,37419604,37419605,37419682,37419681,39188961,30591456,23172904,16909063,16909064,23172905,30591463,255520907,11833588,11833587,16909069,23172918,30591480,28878020,21602841,15575226,15575227,21602845,23205938,21602790,15575190,15575191,15575222,10774004,10774005,15575224,21602838,256339645,39187491,30628624,23205935,16935384,11852787,11852788,254814383,7908508,11833604,16909112,16908184,11832984,7908077,267836255,3042817,267899987,11832991,16908200,23171730,30590064,30591475,39188978,47327874,39187427,30590007,30590008,37419508,37419507,28878012,28878013,37419577,47327862,256467433,23172947,16909090,11833595,11833596,16909093,23172951,30591520,39189011,39924199,47978982,59106865,47708791,255521014,21909954,15828232,10968842,255062229,21909946,29225854,37787771,47708776,50015709,39997694,31320366,31320367,257066703,61493522,74270175,87871607,98792450,84864167,71289861,58557853,257074362,37263078,47168942,58557852,71289860,84864165,84864166,98792449,112784898,112784897,126642958,112784899,112784900,126642960,139998027,152695355,263104169,262216762,140728091,152052708,139347569,125997212,259355880,125997212,259355880 Dl.O(d2) = 24054582,31559188,40245444,35199475,27109646,27109647,30595489,23176562,23176563,254532092,23031022,30437685,30437690,39027206,48949730,49120611,39192736,30595513,30595512,39192732,48825637,38903417,30316468,22916071,16682683,16682682,22916070,30316466,38903415,43033040,43033039,53511520,48949745,48949746,39863034,33977610,33977608,43034538,38968854,31180584,31180583,39863018,48949761,48225719,48225720,46732670,46732669,43034101,33977237,33977239,41992383,41992384,48949733,55424638,53511076,53511075,53512242,53512244,255908910,53510979,65535832,61366091,49885313,39863061,31180610,31180609,39863058,43032729,53511211,52331733,49885347,49885349,61366103,53510877,53510876,43033743,39863101,31180633,23690906,23690905,31180629,33975295,33975296,43032295,52331653,43033153,33976204,33976203,43033148,53511079,51096931,51096933,58104262,58104261,64181983,52331741,41992323,33048898,33048897,41992321,43033143,33976196,33976195,43033141,43033078,43033077,53511063,43032541,257055205,268437309,17368333,17368334,23690902,31180621,39251364,30655618,30655619,39251367,49176411,50265090,53512239,43034012,33977122,33977120,39027235,39027238,33976216,26137355,256174139,43032457,43032456,41992336,33048904,25320539,25320538,33048902,41992332,43033086,33976137,26137301,19441329,19441330,26137303,26136912,26136913,33975721,33975590,33975588,26137971,26137973,32300146,31270116,23784843,23784839,19441801,13912035,9548038,9548039,13912038,256174167,33976847,33976846,43033777,53510989,43032462,33975500,26136662,19440792,13911247,9547489,9547488,9547524,9547498,9547499,13911265,19440810,19440860,13911975,13911974,13911991,16985454,11899960,11899959,13911482,9547661,6264245,6264246,6264680,6264681,9548268,9547825,6264374,6264375,9547830,13911146,13911144,19440646,26136473,26137045,19441144,19441142,19441181,13911590,13911529,9547742,9547412,9547413,9547970,9548065,13912080,13912147,13911419,9548064,6264539,3921895,2347619,1359809,1359810,2347625,3921906,6264524,6264525,9547506,13911001,13911002,13911176,13911110,9547385,6264065,3921611,3921610,6264059,6264251,3921725,3921712,2347526,2347523,3921704,6264222,9547398,13911135,9547779,6264341,6264043,3921600,3921599,6264038,9547346,9548292,6264726,3922003,2347686,1359854,775092,775090,1359786,1359787,2347566,1359797,1359798,2347594,3921845,6264450,6264610,6264488,3921862,3921861,6264485,9548003,9548018,9547266,9547267,9547287,9547278,9547279,13910987,13911121,9547392,6264072,267938993,13911125,13911862,9547905,9547904,13911052,9547330,9547329,13910968,13910970,19440461,19440566,13911060,13911058,19440560,19441042,26136935,19441041,13911456,13911457,9548331,254949947,6264424,3921834,3921835,6264364,6264363,6264175,3921668,2347504,2347507,3921670,6264182,6264579,3921919,254458809,9548117,13912155,19441935,26138049,26138051,23714401,23714400,31202182,39882156,43032216,43032214,49903093,49903092,39882166,31202195,23714406,17390529,12254865,8276391,5340156,3282383,1930523,1930521,3282379,5340155,8276383,12254846,17390454,255554891,31202077,39882075,43034073,49903160,61383649,74164330,258137292,54695723,49816555,49816558,50033540,40330539,31641652,24134853,24134854,31641662,40330561,34670571,26677323,26138292,26138293,33977162,42912422,43941202,34670638,34670640,40330489,257092089,61841428,61296567,60518076,60518077,55424830,44577645,38331757,38331756,47386866,47386862,47386861,58774154,58774155,49116658,39187989,30590423,30590422,39187987,39187883,30590338,256467339,256810740,39187871,49116537,49116618,60518506,60518498,49116603,39187932,39187930,37419420,28877886,21602745,21602746,28877891,29393475,29393473,29393467,29393468,29227548,21911442,21911444,28521516,21570932,21570933,28842167,29925100,29925101,29393483,22063122,15958637,15958638,22063127,29393492,37958082,47876057,42676992,39015953,30427060,30427061,37419604,37419605,37419682,37419681,39188961,30591456,23172904,16909063,16909064,23172905,30591463,255520907,11833588,11833587,16909069,23172918,30591480,28878020,21602841,15575226,15575227,21602845,23205938,21602790,15575190,15575191,15575222,10774004,10774005,15575224,21602838,256339645,39187491,30628624,23205935,16935384,11852787,11852788,254814383,7908508,11833604,16909112,16908184,11832984,7908077,267836255,3042817,267899987,11832991,16908200,23171730,30590064,30591475,39188978,47327874,39187427,30590007,30590008,37419508,37419507,28878012,28878013,37419577,47327862,256467433,23172947,16909090,11833595,11833596,16909093,23172951,30591520,39189011,39924199,47978982,59106865,47708791,255521014,21909954,15828232,10968842,255062229,21909946,29225854,37787771,47708776,50015709,39997694,31320366,31320367,257066703,61493522,74270175,87871607,98792450,84864167,71289861,58557853,257074362,37263078,47168942,58557852,71289860,84864165,84864166,98792449,112784898,112784897,126642958,112784899,112784900,126642960,139998027,152695355,263104169,262216762,140728091,152052708,139347569,125997212,259355880,125997212,259355880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10164467, s2 = 14162859, dlinesl.size( ) = 2 s1 = 10164467, s2 = 14162859, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10164467, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9354728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7921237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7921237, s2 = 1236508, int(edited[s2]) = 0 s1 = 7921237, s2 = 1236508, d1 = 41, d2 = 7 Dl.O(d1) = 255160977,5284951,3237442,1899285,1899274,1899271,254583339,12183103,10950478,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295680,13507911,12256757,12256759,9245459,9245460,12261852,12261854,17399438,17572165,12410572,12410571,17582895,13533215,12400074,12400073,17401570,12263342,8281685,5343085,254268345,1931326,254399267,255167353 Dl.O(d2) = 31211024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1236509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1236509, s2 = 7921236, int(edited[s2]) = 0 s1 = 1236509, s2 = 7921236, d1 = 11, d2 = 43 Dl.O(d1) = 31211026 Dl.O(d2) = 255167352,254399266,16779400,254268344,15261101,10529331,6944189,6944188,9259860,6064820,6064817,6064837,6064839,6974173,10573398,8114651,6062636,3793193,2272114,2272113,3793188,6062615,8114756,6561355,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318984,2272844,254583338,8103141,8103144,12052389,17148866,23426612,255160976,268673990,268619446,55481927,44631767,35247360,35247359,257324029,23322099,17056895,11965801,11965803,17056902,23322105 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1069615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340053, s2 = 11655246, int(edited[s2]) = 0 s1 = 10340053, s2 = 11655246, d1 = 21, d2 = 15 Dl.O(d1) = 270865830,6565134,6565135,9988881,14516651,20229932,17571938,12400102,8405254,8405256,12436489,8405327,8405328,8405228,8405226,12436445,14451383,14451355,9942292,9942293,12667084,8602375,8602376,12397284,8381088,5408660,3325046,3325045,5408655,8381075,12401340,17573186,12405029,12405028,17576870,23918589,17914321,12691974,8622025,5605702,5605701,7737434,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712229,2952550,254548929,11618166,16650414,22878820,255872800,16651229,11618852,11618851,16651227,16378868,11399074,10555148,10555146,11618545,8287404,5346261,3285660,3285656,5346238,8287325,255168113 Dl.O(d2) = 74178973,257425836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340053, s2 = 11655246, dlinesl.size( ) = 10 s1 = 2286571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9339522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1239587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7859767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15126043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9404019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8036423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1241881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162160, s2 = 8460881, int(edited[s2]) = 0 s1 = 14162160, s2 = 8460881, d1 = 8, d2 = 13 Dl.O(d1) = 152345,152344,275745,490534,869983,1533379,2651721,4420154,7027045,10643397,10009314,254225692,268207912,68058432,81545210,257588016,71219741,58497856,47119484,47119483,58497855,59225954,71964066,64682740,52768426,42369382,33380392,25614712,19001022,19001021,256140859,42369378,52768420,64682716,64682715,77872342,84046899,91794813,97917663,84046908,70511675,57810454,46454442,36588346,28115559,20938613,15030389,15030390,20938614,256281985,46454445,57810458,258634527,97917664,111851913,125667690,127399359,127380064,259443500,85551627,77872368,64682753,64682754,77872369,91794817,259047963,64682724,52768411,42369372,42369373,52768413,64682728,259047959,91794814,105989459,120189967,134023396,120189969,105989460,91794815,91794816,105989462,120189962,106021348,91826198,77904717,66876911,54619032,43876538,34605923,268812435,52802517,52802518,54619037,43876545,34605928,26617996,19808698,14188884,14188885,19808700,26618000,34605933,40041421,31361306,23867138,255565977,17522993,23867137,255836034,40041413,255404588,23867131,19001027,13560283,9283996,9283997,255271595,256140861,42369390,52768437,57696632,58816136,58816135,256372340,36531821,28065472,20894676,14990803,10322054,10322053,14990802,20894674,28065465,31455333,24756014,24756013,32375040,256372334,28977673,28977672,37521492,36531819,36531820,28977653,21695084,15654804,10835829,10835828,15654802,21695079,24756036,32375081,28977668,28977667,37521487,32375034,32374907,24755919,18280498,18280497,24755917,32374904,41193826,32375048,24756018,18280561,18280562,24756020,32374993,268628874,51384820,41193959,41193958,42623046,255440586,25801576,33598558,255440574,47429234,37521495,255066278,41193902,256372336,46392370,51384794,41193928,36954574,28454008,255782516,32375021,24756000,256082091,41193990,33194123,25448552,25448553,256643395,33194170,42153100,34371656,26471654,19720099,14137086,9724692,6396812,4014063,2405568,1391972,791542,448231,252207,139234,139236,139256,139257,252301,448461,792005,1392856,2407216,4017156,6402753,9736538,9735583,6402124,4016747,2406972,2406970,4016744,6402114,9735556,14160415,19768821,256718989,28825139,21554468,21554469,19335949,13827294,13827293,19335945,26010034,256684195,256462182,42869196,42869197,35905615,35905617,28241141,28241140,36736156,31844047,31844046,255967972,62070264,56294985,56294984,56931238,45738785,39055081,39055083,48977256,45461053,35844391,27575699,27575697,27575635,27575634,35844227,35765030,27525397,20512132,20512133,27525403,35765042,43270727,43270726,53792419,65857930,69699979,57079074,56797175,56797173,56999525,69608847,69608793,69608792,69409333,56827175,56827172,69004637,56474836,56474832,69004628,70095689,67888917,67888913,75853595,75853596,257967979,49415703,257885734,46620642,36732420,35989431,35989432,45667026,56838821,268812766,39129593,255515502,39097098,30501060,23087371,16833973,16833974,23087374,30501063,39097102,39129609,39097105,39097104,49026170,42049341,42049340,52392429,42048514,42048513,52392427,64247844,59113163,47715532,37794702,29232358,21915386,15832411,10971775,10971774,15832410,21915385,29232355,34104295,26240817,19523628,13976552,13976550,19523617,26240803,34104299,43190014,42047676,33099313,33099312,42047670,46408175,57758945,64247454,52391861,257781361,64246967,52391192,52391191,64246966,258765086,55859453,55859452,63829743,64247315,52392347,42048399,33099891,33099890,42048396,52392343,46823202,256307237,28445597,21219564,21219567,25365085,25365778,33099932,32788642,25090861,25090859,32788636,34104181,33098793,33098794,42047035,52391070,42047774,33099375,25365394,25365393,33099373,42047770,41751486,32830610,25125786,18573404,18573406,25125790,32830617,41751496,42047032,33098791,25365018,25365019,33098794,42047035,52391070,52391767,64247384,64248078,64248077,64248204,64248203,77398067,91316530,98368142,91316160,77397774,77397773,64248225,64247881,64247880,77397836,70552512,57850966,46495013,46495012,44517132,35140547,27054930,27054929,35140545,257191781,64247217,64247751,55199695,55199696,67543507,268554902,36628727,28154822,28154823,34971756,44349196,46495010,57850963,57833134,55627394,46495129,46495130,46495288,46495287,46494593,36628106,28154390,20975663,15064607,15064606,20975661,28154386,36628099,46494585,46494574,36628092,36611414,28137787,20959778,20959779,28137789,36611419,46477354,57833138,53691789,53691788,47351307,37444715,28905325,21630987,15599862,15599861,255848687,37444693,47351282,58738963,57850627,53731791,43219674,34131745,26265251,26265252,34131747,30617598,30617597,34654044,30617594,25498280,25498279,33249135,25498198,25498194,25498202,25498201,33249141,33249273,33249275,42211226,254734698,52571702,64446685,64258138,52402884,42059007,39214559,30617700,27992584,20828221,14929610,10266359,10266360,10653822,7034997,4426108,4426109,7035000,10653826,11540160,12333519,8331753,8331752,12333514,17492336,23830644 Dl.O(d2) = 34131720,26265238,26265239,34131721,43219641,255836640,34131720,34131719,43219645,53731771,65787917,79142229,93257290,269941612,122910205,108645337,94357403,80300893,66871533,54613770,43871389,34601158,26613817,26613818,34601161,28425765,21202285,21202284,28425763,36924366,257423337,54613706,43871316,34601102,34601103,34601142,39749165,39749163,34601095,26613777,19805396,19805395,26613776,34601094,43871298,54613687,59341865,64841135,64841136,66975844,66975846,257837939,53375562,65379539,53375560,53375561,65379541,78684171,92747392,107087733,121385039,271384718,94357386,80300872,80300871,78684174,72674870,72674869,84899355,71325957,58592598,58592597,71325955,84899350,98825944,97902411,84032644,84032643,71325948,58592590,58592589,47201329,37293285,37293286,47201331,58592615,71325975,84899377,98825961,112817004,101145893,101145892,115222858,129153438,125413087,111614143,111614144,111614145,114271353,128155863,139572035,128816497,114919278,114919277,112816996,98825943,98353213,98353214,112336212,100868869,100868868,114919286,128816503,140026914,126673807,112816970,100868866,100868867,98825888,98825889,98825938,84899337,71325943,257797624,257452963,37293267,37293268,37293250,28759513,21500117,15493174,15493175,21500118,21500138,15493196,10714152,254502807,2677088,1550688,881611,881610,1550687,2677085,4456326,7078274,10714149,15493187,255408309,28759527,37293258,40720836,31973992,31973991,40720802,31973955,31973929,24420567,18008899,12762835,8673922,8673921,254621840,24420563,254882924,18008919,256057647,18008941,18008942,15760681,15760680,21828544,21828549,15760687,10915146,7218805,4548302,4548303,7218807,10915150,15760692,21828553,256357979,37456427,255916298,256955752,85881489,99834800,95355425,81299506,270141653,67833560,257325017,35257476,27158463,20246699,14528733,14528732,9997127,6570281,4115882,2461868,254318297,6570275,8963799,8963797,13151339,18510400,20245237,20245238,27156901,32383791,24763406,18286408,12979311,8835250,8835251,12979315,14527089,9995706,9995707,14527091,15794504,15369035,10619379,7008196,7008195,10619378,15369030,15369031,21343888,20108058,14528897,14528896,10602550,6995397,6995396,10602543,15348321,21318987,28542398,21807082,15745891,15745892,21014662,16046853,11142197,11142198,16046856,22170464,22292900,22296923,16151800,16151801,17058356,23323851,29649392,22297536,22297535,22332144,17135474,12042194,12042193,17135473,17112005,17112004,22296376,16151186,16151187,22296378,23400162,21745737,21745736,21745950,21745927,15694377,10864745,7183415,7183416,10864747,15694382,21745887,21745888,29038081,29038468,21746229,21746230,29038471,30827945,39432117,30827938,30827937,37585798,29038225,29038121,21745918,21745917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162160, s2 = 8460881, dlinesl.size( ) = 14 s1 = 939568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8037544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1242328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 572817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6586250, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1242960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657428, s2 = 14924696, int(edited[s2]) = 0 s1 = 11657428, s2 = 14924696, d1 = 8, d2 = 11 Dl.O(d1) = 256017389,17517710,12353043,12353044,12353077,8346013,8346012,12353075,17517751,23861525 Dl.O(d2) = 74311277,87915061,101889274,115126340,101051479,87055184,73437132,60688735,49287299,39360264,30759329,23336639,268102293,267902177,5118561,3126673,1827781,1823502,1040869,1040867,1823494,3108036,5116885,5112474,4679226,2819055,1635484,930030,930027,1635466,2819020,4679162,5101012,8012561,5139832,5101662,5101663,5177785,5152636,5152637,5145492,5145491,7523621,5102109,3097006,1809582,1033552,582459,582456,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1036945,584129,326412,180179,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,587158,327848,327851,587175,1042935,1827189,3125773,3191498,5229862,5227145,5227144,8156863,8037784,254247264,11969748,8013450,5101941,3096903,1809490,1033503,1033502,1809488,3096898,5101931,8013437,8067925,8067924,11679337,254552700,2979354,2979355,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941182,7792973,11686119,11095310,11095309,15982354,254127320,11686039,15982488,254127308,17893892,17893891,254369764,16668864,14519531,11634445,11634039,11095060,7358289,4648091,4648090,7358284,11095050,15982045,11675815,11675816,15982014,11095027,7358269,4648083,4648082,7358267,5137080,5137079,8047081,11672155,16440265,11633406,7750072,4908215,2958413,1715376,1715374,2958409,4908209,5031170,5031169,7914431,11842606,16718031,14348153,14348154,14348207,20031221,16335391,16335390,16714792,11673006,7782017,7782016,11673000,11686781,11686782,16729387,20031597,16716779,11675009,7784674,7784673,11633464,11634170,11095118,11095120,15982119,16667804,16667806,15982006,15981994,11095017,8047069,5137073,5137072,8047059,11633415,11676541,11676542,11676074,11454615,11454613,11675843,11675842,16667541,16667540,16667794,16667795,11686773,11686774,16667486,11686137,11686138,16668050,16668051,16921688,18891553,16957141,16957140,18891531,18560329,13188907,13188908,16713852,16956785,11869013,11869015,11674823,11674825,11674832,11674831,16716621,22953288,23233671,23233672,23337497,17071368,17071367,23337495,17083032,17083031,22898952,16668588,11634180,11634181,16668402,11634074,7750488,7750486,11634063,16668386,17786636,17786637,24153803,23256945,23256946,29967324,23229105,23229106,30356483,29793892,29793857,23371147,22954749,22182575,16055984,16055983,22182568,23333827,20030385,14347385,14347387,12016895,12000267,8053737,8053738,12000268,11987577,8038745,8038746,7522401,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,5087729,5087730,5227275,3189072,3189074,5227282,8156962,12125565,15571557,12125531,11327491,11327490,11530766,7670771,4853466,4853464,7670765,10847243,11939027,7990323,5085676,5085677,3085367,1801149,1801146,3085356,5085969,6800022,4264307,2549505,1468661,1468662,2549508,3154139,3054552,1779814,1014829,1014827,1559830,2692448,4481168,7117272,10771861,10771803,10771805,15572603,21600106,16992440,16992441,16627624,16627623,22520113,16346819,11374528,7556637,7556636,11374526,16346817,254536690,7100953,4470869,2686165,1556035,884696,499201,279961,279964,499220,884758,1556203,2686497,4471497,7102027,4777490,4777489,7555063,4781084,2881123,1671843,1671842,2881120,254535827,11376205,11379410,15539725,15539724,16354286,11380870,11377162,7558551,4779563,2880354,2880355,4779589,7557617,7557379,7557381,7557551,4778930,2879994,2879995,4778935,7557553,7561401,7561400,10750553,7102644,7102645,8343943,5385532,5385531,8343938,10750610,7102671,4471870,2686709,1556319,884812,884813,1556320,2686713,4471878,7102684,10750627,15544439,11380837,7561161,4781109,4781111,7561169,7839862,7839861,11742445,9930228,6526172,4088948,4088946,6526120,6526063,6526068,9930066,9929736,6525868,6525863,9929730,14435261,20127181,22517072,29864766,23658230,17341368,254518678,29315986,23589919,17278205,12157804,8188424,5257946,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,8243195,5315012,3264385,3264386,5315017,8243211,12174268,12174267,12210828,8241715,5313476,3262846,3262845,5313472,5296828,3247673,3247672,5296822,8226320,12196115,17321026,16316065,11351648,7542615,7542616,11351649,16316066,22477979,22477980,28840181,28516502,21295400,21295401,16736709,16736708,21615778,16561830,16561831,22776972,22473429,22473430,27142841,20234533,20234534,27142842,23577040,17265460,12145037,8174809,8174808,12145035,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,16315614,11351397,11351400,16313164,16313161,22019877,15918445,15918442,15918109,11040239,7314629,7314630,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,10587430,6984213,6984212,10587425,15329065,21296055,21297301,15329972,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29842587,22475488,16305282,11344855,11344854,16305280,22475486,29842582,23008912,23008911,23585833,31069858,37919064,36808994,28312202,267888488,16345810,16345811,17076483,23342678,29841867,28336112,21124103,15175774,10466370,6899060,4330990,2591342,2591341,4330989,6899056,10466361,15175758,16306875,11345874,11345873,16306872,22477531,20288332,15838066,11041701,11041702,254533712,7320498,4780637,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356713,22473094,22473091,23008005,22972649,22972650,22973167,22567789,16387077,11405179,11405181,16387082,17284614,12163885,8195147,8195146,8195170,5265218,5265216,8195164,12163914,17284664,23596830,17284623,12163890,12163891,17284628,17316715,17316717,16341745,11370465,7553953,7553952,6984279,6984280,10587571,15329306,21296326,17238105,12121388,12121386,17238100,12196510,12196511,17260159,15920989,15920990,17321431,17321403,16341683,11370432,11370434,12168276,12168278,16307192,16307190,22477879,16342280,12157717,12157715,12157703,12151367,8181572,8181573,5251233,5251229,7553985,11370540,16341837,17295561,16867034,11798689,7879896,5003663,5003665,5235449,5235447,3230726,1894673,1894674,3230730,4596451,7288942,11010678,15883831,254837222,14434122,9928941,6525387,267842462,4776409,4776411,7553044,11369009,15151603,15151602,11368298,11368299,16338975,11368960,11362242,7548844,7548843,11362240,16331302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657428, s2 = 14924696, dlinesl.size( ) = 10 s1 = 9735005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9735005, s2 = 1956897, int(edited[s2]) = 0 s1 = 9735005, s2 = 1956897, d1 = 1, d2 = 1 Dl.O(d1) = 257735650,47708007,37786986,29225077,255871043,15827721,15827712,15827713,21909290,29225066,37786973,47708001,59106134,67812249,67812250,81279511,95337856,109592234,123781818,112160273,98197652,98197651,112160271,125996398,118166016,104010542,89885757,89885756,270989527,118166014,131982593,261777368,152052075,139346877,139346878,145216020,153714145,141047071,127697329,113827826,99812732,256518116,59533719,48811034,48811033,268440002,100509469,101029002,87032657,73415142,73415143,60667948,49267943,49267942,50061286,40041826,31361667,23867494,23867495,31361668,40041830,257652757,74315986,61539469,50061298,50061297,41541322,32652642,24980239,18459150,18459149,23867503,23867504,31361680,257045677,39732650,49751144,61230234,257608766,43422494,256609897,32652646,26445922,26445923,29922526,38482624,41541317,51821619,52462360,43422536,34322554,34322555,43422539,48385238,38482647,29922544,22563086,22563087,29922546,26435797,22563089,16383502,16383501,17269915,17269916,23582152,22563091,22563092,29922548,38482651,48385240,59768045,72502370,270847729,114097869,126401140,113619652,113619651,127493292,113624413,99609834,85660210,85660209,99609831,113624411,127496465,113623522,113623523,127496470,140853472,128744475,259443150,100794942,260059848,38482653,38482654,48385243,259397515,73201347,259443257,102323362,88327651,74699871,257678643,40381320,31687442,31687441,257095273,61906249,74699870,74699868,61906247,50415778,50415777,61906244,74699866,88327639,102323423,112942595,98953324,258753910,257521246,58725824,256941348,37428917,28886845,28886846,37428918,47337148,58725831,71456153,259942217,258819034,100794945,100794946,114846042,114705024,100659634,86686936,86686937,100659635,259436288,141962630,129147503,115217127,101140389,87142436,257677398,49373745,39445329,30840989,30840988,38685396,30109044,22728269,16522864,16522863,22728266,30109041,30840990,23411238,17136151,12042745,8096006,8096005,12042743,17136146,23411235,30840987,39445326,49373739,60775299,73523542,87142396,258753906,85028256,83896525,259247983,111672228,113624132,113624136,121086887,106827391,106827390,121086884,118035075,118035077,118035026,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838532,114838135,100786027,100786028,114838137,114838535,100786499,86805555,73193428,73193427,86805554,100786498,114838532,114838135,100786027,86805113,73193071,60446648,257270314,39113291,49042974,60446643,73193065,86805102,257865244,86818009,86818010,100799232,99604667,99604668,103892624,103892625,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838533,128738326,258818986,259443096,99608531,85659125,85659126,258482730,59337867,47946175,47946177,59337874,72072094,76014668,76014669,89791319,103892637,118035039,113623182,99608621,99608620,113623235,106827416,92515734,78475823,65191493,65191496,78475837,92515751,104740904,99517385,85570694,85570693,85659150,72072083,59337869,47946175,47946177,59337874,72072094,76014668,76014669,89791318,99604667,99604668,103892624,103892625,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838533 Dl.O(d2) = 257735650,47708007,37786986,29225077,255871043,15827721,15827712,15827713,21909290,29225066,37786973,47708001,59106134,67812249,67812250,81279511,95337856,109592234,123781818,112160273,98197652,98197651,112160271,125996398,118166016,104010542,89885757,89885756,270989527,118166014,131982593,261777368,152052075,139346877,139346878,145216020,153714145,141047071,127697329,113827826,99812732,256518116,59533719,48811034,48811033,268440002,100509469,101029002,87032657,73415142,73415143,60667948,49267943,49267942,50061286,40041826,31361667,23867494,23867495,31361668,40041830,257652757,74315986,61539469,50061298,50061297,41541322,32652642,24980239,18459150,18459149,23867503,23867504,31361680,257045677,39732650,49751144,61230234,257608766,43422494,256609897,32652646,26445922,26445923,29922526,38482624,41541317,51821619,52462360,43422536,34322554,34322555,43422539,48385238,38482647,29922544,22563086,22563087,29922546,26435797,22563089,16383502,16383501,17269915,17269916,23582152,22563091,22563092,29922548,38482651,48385240,59768045,72502370,270847729,114097869,126401140,113619652,113619651,127493292,113624413,99609834,85660210,85660209,99609831,113624411,127496465,113623522,113623523,127496470,140853472,128744475,259443150,100794942,260059848,38482653,38482654,48385243,259397515,73201347,259443257,102323362,88327651,74699871,257678643,40381320,31687442,31687441,257095273,61906249,74699870,74699868,61906247,50415778,50415777,61906244,74699866,88327639,102323423,112942595,98953324,258753910,257521246,58725824,256941348,37428917,28886845,28886846,37428918,47337148,58725831,71456153,259942217,258819034,100794945,100794946,114846042,114705024,100659634,86686936,86686937,100659635,259436288,141962630,129147503,115217127,101140389,87142436,257677398,49373745,39445329,30840989,30840988,38685396,30109044,22728269,16522864,16522863,22728266,30109041,30840990,23411238,17136151,12042745,8096006,8096005,12042743,17136146,23411235,30840987,39445326,49373739,60775299,73523542,87142396,258753906,85028256,83896525,259247983,111672228,113624132,113624136,121086887,106827391,106827390,121086884,118035075,118035077,118035026,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838532,114838135,100786027,100786028,114838137,114838535,100786499,86805555,73193428,73193427,86805554,100786498,114838532,114838135,100786027,86805113,73193071,60446648,257270314,39113291,49042974,60446643,73193065,86805102,257865244,86818009,86818010,100799232,99604667,99604668,103892624,103892625,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838533,128738326,258818986,259443096,99608531,85659125,85659126,258482730,59337867,47946175,47946177,59337874,72072094,76014668,76014669,89791319,103892637,118035039,113623182,99608621,99608620,113623235,106827416,92515734,78475823,65191493,65191496,78475837,92515751,104740904,99517385,85570694,85570693,85659150,72072083,59337869,47946175,47946177,59337874,72072094,76014668,76014669,89791318,99604667,99604668,103892624,103892625,118035027,111672326,111672328,114838529,100786495,86805553,86805554,100786498,114838533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735005, s2 = 1956897, dlinesl.size( ) = 2 s1 = 9735005, s2 = 1956897, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9735005, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10218644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6564772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8073838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1245213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 942802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7950770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6617430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6617430, s2 = 10158698, int(edited[s2]) = 0 s1 = 6617430, s2 = 10158698, d1 = 24, d2 = 2 Dl.O(d1) = 256587932,23907190 Dl.O(d2) = 11914190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6617430, s2 = 10158698, dlinesl.size( ) = 2 s1 = 6617430, s2 = 10158698, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6617430, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 9360424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1247258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7821814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 944890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7849250, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1250099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1250099, s2 = 11656465, int(edited[s2]) = 0 s1 = 1250099, s2 = 11656465, d1 = 0, d2 = 6 Dl.O(d1) = 31455497 Dl.O(d2) = 61643729 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9419922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 946719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14916193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6468032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 691678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 691678, s2 = 14335951, int(edited[s2]) = 0 s1 = 691678, s2 = 14335951, d1 = 0, d2 = 17 Dl.O(d1) = 17639652,23985430 Dl.O(d2) = 88070442,88053208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 691678, s2 = 14335951, dlinesl.size( ) = 2 s1 = 691678, s2 = 14335951, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 691678, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 1251366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6612529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9024204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9373528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10256817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10256817, s2 = 11217822, int(edited[s2]) = 0 s1 = 10256817, s2 = 11217822, d1 = 16, d2 = 10 Dl.O(d1) = 195302657,187252458,178006370,178006369,263982467,207973751,202186324,264571131,264173430,195302718,263850228,178006421,263251325,193043681,193043678,187252470,187252471,273747955,195302723,202186333,207973810,212745588,207973821,202186344,202186343,207973818,264571134,206294673,200227908,195302746,195302747,202186347,207973766,202186328,263850224,178006411,167537345,155924259,143382685,130051433,116142300,102084773,88098056,74486076,61703367,258040292,40199512,31513385,24012798,17665358,17665359,24012800,31513379,257082587 Dl.O(d2) = 260048660,115821536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10256817, s2 = 11217822, dlinesl.size( ) = 14 s1 = 6630142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9338450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1254937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1254937, s2 = 5796309, int(edited[s2]) = 0 s1 = 1254937, s2 = 5796309, d1 = 21, d2 = 49 Dl.O(d1) = 31556627 Dl.O(d2) = 236421042,235522270,234537153,233455965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1254937, s2 = 5796309, dlinesl.size( ) = 48 s1 = 1254972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1254972, s2 = 7632223, int(edited[s2]) = 0 s1 = 1254972, s2 = 7632223, d1 = 13, d2 = 137 Dl.O(d1) = 31557398 Dl.O(d2) = 164511221,152666330,152666329,139967518,126613315,270271964,84840593,71266489,58587264,47195923,37287551,37287553,42084695,42288530,40810246,32050208,32050209,40810250,47641922,44748992,35322861,35322860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1254972, s2 = 7632223, dlinesl.size( ) = 8 s1 = 90910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6664267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1255562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1255562, s2 = 6623188, int(edited[s2]) = 0 s1 = 1255562, s2 = 6623188, d1 = 17, d2 = 13 Dl.O(d1) = 31571498,24065875,24065876,31571501,40258865,50279802,40258848,40258847,50279800,42285905,33305749,33305750,33305780,25543872,25543871,33305777,269085017,256908136,50279630,47150099,47150098,47713892,37793198,255062534,255435940,33293810,42274967,52662222,50279889,49059309,49059307,256130318,255263082,18878378,25480470,33229066 Dl.O(d2) = 15831276,21914050,256646171,52547967,255896552,48067599,268634262,269338702,62733665,59093349,47694915,47694914,58800186,58800187,71529118,75680308,62734164,51103298,40961394,32182302,32182303,40961395,51103301,61610939,71833218,59093305,59093304,71833215,269412096,47694922,37773560,37773559,47694918,59093351,71833252,59186701,47786679,38671469,38671468,39224345,30626558,23204048,23204047,30626554,39224340,47694962,256366318,37793063,37793062,31571423,31571422,40258763,47713749,50279694,47713820,37793135,29230989,29230988,33229062,25480465,18878372,254445316,254445318,18878377,17710210,12527955,8489591,5490613,3381248,255191963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1255562, s2 = 6623188, dlinesl.size( ) = 14 s1 = 1525334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9376245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9376245, s2 = 16340599, int(edited[s2]) = 0 s1 = 9376245, s2 = 16340599, d1 = 26, d2 = 24 Dl.O(d1) = 73058051,60317055,48918477,38994557,30405255,23000161,23000162,30405256,38994558,48918472,60317054,258810095,73058519,60317496,60317337,60317336,73058343,86663403,91245267,91245268,99355595,113357288,127215568,257918374,99355596,113357290,127215570,119725982,105486814,91264317,77344383,64197092,52346967,42007876,33063868,25334498,18755121,18755122,25334501,33063870,33062960,25333876,25333875,33062958,42006668,52345682,64195760,53542868,43063751,34005925,26164148,19463690,13929233,9560722,6273455,6273454,9560721,13446629,18870422,25470723,33217472,38822663,30239428,30239429,38822666,48742851,50506018,40470421,31775620,31775622,33319297,25557251,18944142,13507518,13507519,18944146,18944139,18944138,25557243,19462635,13928387,13928386,19462634,25133749,18580195,13203962,13203963,18579515,18580190,13203960,13203961,18580192,25133743,32839024,38409526,37607644,29058472,29058473,31464264,35410670,27285551,20350413,20350410,27285547,29317840,21989297,15892512,15892511,21989293,29317832,37886603,43883277,47242031,39395904,39395905,47920759,38005388,29442615,22108975,15997300,15997299,22108971,25133454,32838674,32837859,25132728,25132726,32837854,25557267,25557268,30039288,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,21989422,15892593,11017409,7293881,7293844,7293845,11017177,15892162,19236825,19236092,19236093,25896170,33589582,25793813,19148510,19148511,19457915,26157185,26129962,26129961,21990886,15893610,15893607,19460048,13926526,13926527,19460052,17735447,17735446,19438177,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018280,11018278,13907847,13907849,13925716,19458842,19235309,19235311,254655802,11980732,10660480,9543605,9543604,13905930,19434237,19458258,13925312,13925313,19458261,19640641,14076770,9681752,9681751,14076767,19640639,17311334,12187003,8217340,8217341,9560719,6273453,267862188,1362173,1362174,2351471,3927927,6273457,9560724,9560725,13929234,19463692,26164149,24598036,24598035,28649361,21407033,15419095,10658852,10658853,15208907,21165830,28383669,36880185,34989354,26908542,26908543,33045026,25317112,25317111,256632157,25319359,18740998,255743058,25129817,18577016,13201756,8999840,8999837,9115088,12016991,8076199,5171254,5171253,8076197,9990369,14518931,13341561,9115287,5963899,3729336,3729317,3729316,5963868,9115226,13341437,18741193,19796917,14180400,14180399,19796913,26603414,25460622,255261951,13437770,18860585,25460624,24382517,17983313,12745036,8661216,8661221,12745022,12745021,17983293,24382496,31914459,40629188,50181246,50181245,48297389,38387088,38387089,48297391,49016686,39087076,30490507,30490505,34260815,30552832,23134409,18182509,12895208,12895207,16873828,23134406,30552829,39151009,257267650,34626510,43898752,39397098,30794288,30794287,29352076,29352077,30794294,23368331,17099868,254825319,8072101,12014029,17099866,23368327,23368326,19352417,13840999,13840998,10764019,7112090,4478009,2690535,1558657,886147,886146,1558655,2690532,267847188,10764013,15562167,17728501,12542738,12542734,17728496,24085820,31589914,30848964,23418700,17142497,254192744,39452941,39163918,31590659,24205164,24205163,23149315,16888628,16888629,254872252,39164429,40288168,31603794 Dl.O(d2) = 26444994,34321675,34321244,28267361,28267362,22317780,16172515,16172516,22317782,29669146,29767112,22404394,22404395,21792373,15733860,10897068,7207263,4541185,4541184,7207260,10897065,15733855,21792366,27240845,22183067,22183068,25426707,25426708,33169269,254400640,13418329,13418330,18833217,21795489,17132604,17132605,23406656,30835592,254609748,36441213,29093300,21795387,21795388,29083074,36761421,30718665,28267792,21065057,15131048,15131047,21065054,22394932,254398466,16941831,16941833,21779548,15720559,15720562,21779558,24598130,29091353,21793215,15734480,15734479,21793209,29091349,37641887,31184378,23694613,17372266,12240184,8265724,5333051,5333052,8265728,12240190,254370088,22974426,22974427,29525555,29095441,254398604,42162704,33202788,25455886,18856926,18856927,25455888,33202792,42162707,256493377,30921850,39532664,49466522,60869793,73620265,87241865,101242084,115320379,129248216,142618107,142618109,142618108,142618111,129248214,129248215,130343852,116507488,102412551,88412665,74781356,61985228,50493285,40457358,40457357,39958596,31283787,23797710,17465411,15564672,10765590,10765591,7113247,7113244,10474846,6906587,4337899,4337901,6906595,10474864,12308007,8313287,8313289,12307878,12307877,17458763,15980656,15187001,15187000,15433371,15433370,17458783,15544991,15544990,14337944,14337943,16591558,22809051,30199868,38784160,47281611,37372270,28832595,255477710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9376245, s2 = 16340599, dlinesl.size( ) = 8 s1 = 8620818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 952437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162367, s2 = 10341476, int(edited[s2]) = 0 s1 = 14162367, s2 = 10341476, d1 = 1, d2 = 1 Dl.O(d1) = 267934843,3835590,6130719,9359860,13668264,12719941,8642989,8642990,9926227,12719925,11635694,7751680,5621257,5621258,3582469,2134910,2134911,2251320,2251319,3758262,6008837,9180513,13427416,16670271,11814960,11636018,7751920,4909422,2959165,1715840,1715841,2959168,4909428,7167316,10841817,14430376,14430377,255746029,22900824,22900814,20122018,18275369,12970913,12970912,11635557,7751593,4909206,2959010,1715750,974893,974892,1715749,2959006,4909200,7751583,11635543,16670207,11636111,11636112,11635397,7751461,4909095,2958944,1715707,974865,974866,1715708,2958945,4909098,2959030,2959031,2959218,1715885,1715710,974867,974861,974862,974907,548858,307236,169981,93562,51661,51660,93560,169978,307228,548841,974870,548834,307225,307226,548838,974878,1715727,2958971,2959093,1715805,1715806,2959096,254550055,11635263,11635264,16669859,11635441,7751502,4909130,2958967,2958966,4909128,7751500,11468692,7628572,4826522,4826523,7628574,7628593,11468706,16459832,255121655,267896733,2959125,2959121,4909362,7751824,7751508,4909133,4909134,7751509,11635446,255504697,30299269,38884975,48807279,60204379,260045767,100646041,258810925,60326031,48927348,39003325,30414133,23009431,16770311,11724730,7827438,7827437,255127105,23009427,28275157,256146510,25291920,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,8754297,8754294,12872795,18153333,24600919,254426900,268707411,39513433,30905210,23470529,23470530,28257396,21056513,15124911,10432184,10432182,15124832,10432131,8700141,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,4317769,2582330,267822707,6878570,10433850,255378053,28261353,268460014,36737541,28242465,21043557,21043555,28242460,36737539,39317175,39317174,46625279,40857428,32086154,28251984,21051440,18081631,12819164,12819163,18081628,24511002,21709215,15667308,10846018,10846017,15667322,21709238,15667367,10846040,10846041,15667369,21709307,28256695,21055799,15124345,15124344,21055794,28256689,25673734,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,21470774,21470775,22009783,22009782,29339839,268061818,254995772,59230384,58015743,46642091,36756512,28261410,28261411,268605268,58015746,58027462,46655370,46655371,256360667,21858492,15786322,15786320,21858484,29167682,255804820,48928153,40391630,40391629,50425438,48238536,38328503,38328502,29759426,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397633,22397630,22399092,22399091,20924572,20924574,28100332,36571719,31619272,24114067,17753279,17753278,17753281,24114069,31619273,40307528,50333576,61817112,74609313,88239971,102238643,116334085,259953208,261131168,178111328,262679060,195382610,202254809,208032987,212797130,216691918,219920042,219531207,216246926,212284881,207435877,201555445,194569559,186414634,177058786,262295239,261238001,114891777,259447057,73248820,60501779,49098167,39168031,30570172,23152711,16891770,11820354,11820355,16891772,23152716,254825842,38105462,48015695,59402865,72133320,84588127,71023855,58308356,46941922,37062941,28561618,21335117,255400086,10613386,10613385,15361753,12803187,8705291,8705290,8705295,5667102,3525279,3525278,5667101,8705293,12803189 Dl.O(d2) = 267934843,3835590,6130719,9359860,13668264,12719941,8642989,8642990,9926227,12719925,11635694,7751680,5621257,5621258,3582469,2134910,2134911,2251320,2251319,3758262,6008837,9180513,13427416,16670271,11814960,11636018,7751920,4909422,2959165,1715840,1715841,2959168,4909428,7167316,10841817,14430376,14430377,255746029,22900824,22900814,20122018,18275369,12970913,12970912,11635557,7751593,4909206,2959010,1715750,974893,974892,1715749,2959006,4909200,7751583,11635543,16670207,11636111,11636112,11635397,7751461,4909095,2958944,1715707,974865,974866,1715708,2958945,4909098,2959030,2959031,2959218,1715885,1715710,974867,974861,974862,974907,548858,307236,169981,93562,51661,51660,93560,169978,307228,548841,974870,548834,307225,307226,548838,974878,1715727,2958971,2959093,1715805,1715806,2959096,254550055,11635263,11635264,16669859,11635441,7751502,4909130,2958967,2958966,4909128,7751500,11468692,7628572,4826522,4826523,7628574,7628593,11468706,16459832,255121655,267896733,2959125,2959121,4909362,7751824,7751508,4909133,4909134,7751509,11635446,255504697,30299269,38884975,48807279,60204379,260045767,100646041,258810925,60326031,48927348,39003325,30414133,23009431,16770311,11724730,7827438,7827437,255127105,23009427,28275157,256146510,25291920,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,8754297,8754294,12872795,18153333,24600919,254426900,268707411,39513433,30905210,23470529,23470530,28257396,21056513,15124911,10432184,10432182,15124832,10432131,8700141,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,4317769,2582330,267822707,6878570,10433850,255378053,28261353,268460014,36737541,28242465,21043557,21043555,28242460,36737539,39317175,39317174,46625279,40857428,32086154,28251984,21051440,18081631,12819164,12819163,18081628,24511002,21709215,15667308,10846018,10846017,15667322,21709238,15667367,10846040,10846041,15667369,21709307,28256695,21055799,15124345,15124344,21055794,28256689,25673734,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,21470774,21470775,22009783,22009782,29339839,268061818,254995772,59230384,58015743,46642091,36756512,28261410,28261411,268605268,58015746,58027462,46655370,46655371,256360667,21858492,15786322,15786320,21858484,29167682,255804820,48928153,40391630,40391629,50425438,48238536,38328503,38328502,29759426,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397633,22397630,22399092,22399091,20924572,20924574,28100332,36571719,31619272,24114067,17753279,17753278,17753281,24114069,31619273,40307528,50333576,61817112,74609313,88239971,102238643,116334085,259953208,261131168,178111328,262679060,195382610,202254809,208032987,212797130,216691918,219920042,219531207,216246926,212284881,207435877,201555445,194569559,186414634,177058786,262295239,261238001,114891777,259447057,73248820,60501779,49098167,39168031,30570172,23152711,16891770,11820354,11820355,16891772,23152716,254825842,38105462,48015695,59402865,72133320,84588127,71023855,58308356,46941922,37062941,28561618,21335117,255400086,10613386,10613385,15361753,12803187,8705291,8705290,8705295,5667102,3525279,3525278,5667101,8705293,12803189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162367, s2 = 10341476, dlinesl.size( ) = 2 s1 = 14162367, s2 = 10341476, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162367, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1597706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7929959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 953552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1258458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8097845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9453440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9453440, s2 = 14295341, int(edited[s2]) = 0 s1 = 9453440, s2 = 14295341, d1 = 50, d2 = 47 Dl.O(d1) = 261854956,74633972,256036710,255194814 Dl.O(d2) = 929840,929839,590072,329203,181434,99615,54975,31035,17891,17890,31033,54971,99609,181417,329170,590011,1048743,1837784,3142318,5134853,254571295,254570031,3129946,254383683,5171161,7523648,4757246,2867275,1664135,1664136,1048381,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9453440, s2 = 14295341, dlinesl.size( ) = 30 s1 = 954328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1259158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1259158, s2 = 4269888, int(edited[s2]) = 0 s1 = 1259158, s2 = 4269888, d1 = 21, d2 = 60 Dl.O(d1) = 31648101,24141884,17777523,17777521,268447377,26687686,24139165 Dl.O(d2) = 91728944,105936267,120148214,133989508,147211915,159570792,170898322,181016368,181016369,189893027,189893028,197546864,204064008,204064009,209501365,209501367,213962490,213962487,209501363,204064007,204064006,209501362,213962485,217624201,218828002,218827997,215442909,264959931,221687360,220679657,218828002,218827997,218827998,274171742,206336414,200276238,193100948,184739988,175165059,164375170,152510731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1259158, s2 = 4269888, dlinesl.size( ) = 2 s1 = 1259158, s2 = 4269888, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1259158, Dl.E( ) = 62, 1.88e-05 seconds used appending s1 = 1259811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1259811, s2 = 14162887, int(edited[s2]) = 0 s1 = 1259811, s2 = 14162887, d1 = 7, d2 = 7 Dl.O(d1) = 31667865,24158428,17791159,12592427,8543587,8543586,8519560,267847581,2007773,1147955,644005,644008,1147962,2007788,3404398,3382397,1991789,1138176,638580,638579,1138174,1148246,1148245,2000708,1143561,1143560,2000701,3392948,3435829,3392969,3392966,3454727,3415079,254414689,8531135,8486499,5488989,5488990,3457375,3457376,3446896,2040981,1169621,1169622,2040986,3446906,5336094,5545667,3431400,2029085,2029084,2035524,2035525,2039456,3380580,2941587,2941586,254416535,254416533,3374799,3374798,5483760,5493617,5493616,5516415,3403336,3403335,5509025,5509026,3446895,2040980,1169621,1169622,2040983,3446901,5493992,3456488,3456489,254614681,5508433,5508432,5487192,5487191,5492373,254280231,1163049,652667,652669,1163055,2019960,1155758,1155757,2019958,2049723,3455343,5355712,5355713,8301685,12292071,17438364,23766292,268678001,49943979,61421956,71806741,59066122,47666221,37744332,29183455,29183456,29328600,37897135,47819039,59217324,71955601,256280814 Dl.O(d2) = 31667865,24158428,17791159,12592427,8543587,8543586,8519560,267847581,2007773,1147955,644005,644008,1147962,2007788,3404398,3382397,1991789,1138176,638580,638579,1138174,1148246,1148245,2000708,1143561,1143560,2000701,3392948,3435829,3392969,3392966,3454727,3415079,254414689,8531135,8486499,5488989,5488990,3457375,3457376,3446896,2040981,1169621,1169622,2040986,3446906,5336094,5545667,3431400,2029085,2029084,2035524,2035525,2039456,3380580,2941587,2941586,254416535,254416533,3374799,3374798,5483760,5493617,5493616,5516415,3403336,3403335,5509025,5509026,3446895,2040980,1169621,1169622,2040983,3446901,5493992,3456488,3456489,254614681,5508433,5508432,5487192,5487191,5492373,254280231,1163049,652667,652669,1163055,2019960,1155758,1155757,2019958,2049723,3455343,5355712,5355713,8301685,12292071,17438364,23766292,268678001,49943979,61421956,71806741,59066122,47666221,37744332,29183455,29183456,29328600,37897135,47819039,59217324,71955601,256280814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1259811, s2 = 14162887, dlinesl.size( ) = 2 s1 = 1259811, s2 = 14162887, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1259811, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7832170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6613494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6887218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6887218, s2 = 7474343, int(edited[s2]) = 0 s1 = 6887218, s2 = 7474343, d1 = 38, d2 = 17 Dl.O(d1) = 259674364,31684877,24176395,17808277 Dl.O(d2) = 267009683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6887218, s2 = 7474343, dlinesl.size( ) = 2 s1 = 6887218, s2 = 7474343, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6887218, Dl.E( ) = 42, 1.79e-05 seconds used appending s1 = 1261542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1261542, s2 = 1422680, int(edited[s2]) = 0 s1 = 1261542, s2 = 1422680, d1 = 4, d2 = 7 Dl.O(d1) = 31699465 Dl.O(d2) = 36903491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1261542, s2 = 1422680, dlinesl.size( ) = 2 s1 = 1261542, s2 = 1422680, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1261542, Dl.E( ) = 58, 2.41e-05 seconds used appending s1 = 10347230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 693845, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1262216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1264162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8261659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13408113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1606811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6626001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6626001, s2 = 9687010, int(edited[s2]) = 0 s1 = 6626001, s2 = 9687010, d1 = 13, d2 = 14 Dl.O(d1) = 256673088,256555849,50530151,62022307,74819317,88452847,102456688,105988264,258255848 Dl.O(d2) = 64681154,52766194,42366565,42366564,257064522,64681153,77871088,258878438,120188773,134022178,147239035,261830042,181033793,263237868,204075830,209512118,264561872,217633864,220688861,220646448,217587573,264079730,204018606,197498078,189839777,262010578,133920211,259073810,64546690,52647483,52647484,64546692,77728889,67576412,67576411,64779707,64779708,77974300,91898981,106093985,119878316,119878315,105639779,91414012,77483374,77483375,77483377,64319483,52451931,52451932,59242671,71980091,60837447,49435898,49435899,257118360,40757517,32002603,24443552,24443551,32002601,40757513,50872203,50123115,40102827,40102828,42579883,33563179,25773868,19133748,13662252,9355866,6128278,3834190,2297126,2297129,3834140,3833752,2296909,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,6126829,6126825,6127977,9355489,9420904,6172814,6172816,9420936,255286729,25904646,33711039,42740608,257827133,78458379,92496052,78458364,65175124,53189936,257827131,259072561,92496051,92496071,92496052,92496050,78458362,257842964,53189935,53189942,53189941,65175127,65175128,78458368,92496057,106803778,121059443,134859093,262009349,147980372,160231503,171450227,171450222,160231492,160231493,147980391,147980392,160231514,160231515,160231498,147980368,134859106,121059456,261476537,134859117,121059465,259720520,92496063,106803791,121059462,134859114,262009351,160231486,147980359,147980360,160231488,160231479,147980352,262036740,121059446,106803779 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13225363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6527565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8364400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8364400, s2 = 13386362, int(edited[s2]) = 0 s1 = 8364400, s2 = 13386362, d1 = 93, d2 = 213 Dl.O(d1) = 271995723,159529861,170858021,180977882,185999259,176576627,165930046,154170954,141507140,128147950,114263267,258250238,72665276,59924989 Dl.O(d2) = 263708585,262918425,159157757,146782331,133524518,260257073,271311280,52275788,41936894,32996028,25271763,255250019,9088077,5945124,3717657,2226154,1291218,737036,737037,1291219,2226157,3717661,5945133,9088089,6822383,5921354,3702611,3702612,5921359,9057024,8329553,5375903,3496802,3496800,4269677,2552742,1470491,1470488,2552735,2696534,1933401,1933399,3287682,4853696,4853695,6761119,4236992,2533230,2533229,4236988,2924835,2576748,2576745,4261843,2547886,2546724,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249291,6779080,6832234,6832235,10370041,10382360,10308311,6821090,4278939,4278937,6821046,4278909,4278908,2567073,2567077,4227582,4228346,6746758,4227553,4227550,5936164,9076950,13294970,18688280,18668588,13277001,9061699,9061697,13277000,13897646,9536883,6256417,3916573,2344354,2344353,3916568,6256407,9536870,13897618,15887983,11013737,7290934,4597647,2765859,1603266,911629,911630,569871,498156,288617,288614,514337,911680,851588,480990,270706,270705,480924,480921,851492,851743,481082,254074384,150101,270769,481094,851763,911791,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288892,289441,289285,160111,88123,48498,48497,88119,88110,88112,160083,289172,515281,515547,912359,912358,254122665,514715,514376,514377,911743,1603415,2766047,254518247,1606891,1606892,254346497,267788353,254229911,4540562,2770011,2769783,2769776,2769397,1605721,913194,515234,515233,913191,1605719,2769396,4602507,7206673,4597757,4597756,254518347,254346157,4599755,2767850,2767849,4600456,7294796,10743557,7098198,4469256,2685172,2685173,4469258,7098125,4469114,2684987,254336849,254738809,15534565,255844631,25039066,32726401,38020220,29458269,22124066,22124065,29458266,36876052,46755008,58123560,70838223,71042463,257390186,256274242,52293291,52293290,46959576,46959577,58326908,58326910,58326909,51972782,41664863,41664862,33009980,25284911,18711930,18711933,24379129,24379130,21623262,21623261,27995575,21625109,21625110,20824884,20824883,16518623,11512059,11512058,16518622,15643294,10826092,10826093,254220096,28964551,37078968,28575174,21346454,21346455,21346461,15371212,10621165,255031461,21346458,28575178,37078972,46959571,258046571,256860994,37078970,37078971,46959569,58326902,71042462,259917057,98531043,112525550,126395658,139770559,152490640,164357489,152490635,152490636,164357491,175149824,263094337,264176549,211339739,211339743,215435915,218821155,221680519,221680518,224135801,265697719,228118233,266099907,233653593,234718835 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8437718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7601013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 963189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 963378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343319, s2 = 8029916, int(edited[s2]) = 0 s1 = 10343319, s2 = 8029916, d1 = 66, d2 = 56 Dl.O(d1) = 254345830,5064744,5064743,7961832,11904139,15885708,15885707,268628926,257140416,255224601,8790913 Dl.O(d2) = 257481030,11277465,7486086,4730793,2850314,1653815,940795,530512,254086553,254074595,27882,15823,15824,27885,49854,90568,164650,297433,530370,529001,296425,296424,528999,297545,164744,90634,90635,164088,296582,529272,938944,939628,1652030,2847311,4725685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343319, s2 = 8029916, dlinesl.size( ) = 8 s1 = 1610475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1610475, s2 = 7434436, int(edited[s2]) = 0 s1 = 1610475, s2 = 7434436, d1 = 22, d2 = 60 Dl.O(d1) = 40564933,31863371 Dl.O(d2) = 266617666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1610475, s2 = 7434436, dlinesl.size( ) = 26 s1 = 8088000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13327547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8289474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8289474, s2 = 11280614, int(edited[s2]) = 0 s1 = 8289474, s2 = 11280614, d1 = 195, d2 = 207 Dl.O(d1) = 51064738,62693953 Dl.O(d2) = 175148257,184725439,193088161,200265106,206326538,211338659,209713637,272783126,190263000,263443496,197850756,190263002,181473217,261762466,147996894,134876287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8289474, s2 = 11280614, dlinesl.size( ) = 30 s1 = 7969986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13204481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9351567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16313855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6495400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163990, s2 = 13492116, int(edited[s2]) = 0 s1 = 14163990, s2 = 13492116, d1 = 0, d2 = 17 Dl.O(d1) = 28428517 Dl.O(d2) = 50901485,62501816,62501848,75420936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163990, s2 = 13492116, dlinesl.size( ) = 2 s1 = 14163990, s2 = 13492116, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163990, Dl.E( ) = 30, 9.78e-06 seconds used appending s1 = 1273671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1273929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6495507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8047429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6685116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5037, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6798606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6798606, s2 = 9333823, int(edited[s2]) = 0 s1 = 6798606, s2 = 9333823, d1 = 7, d2 = 3 Dl.O(d1) = 254757962,15879917,255066694,29301276,37870897,47795739,256915422,71935874,85523890,99470485,257124622,89148189,89148190,100994338,100994336,100994337,115064930,115064931,128990781,258946726,166714105,177270768,186596379,194721052,195770754,187821362,178704429,168385779,156931624,144533471,131312434,117516605,103391750,259887782,258641970,24505342,18076727,255374594,8713317,5671952,5671951,254489096,18076726,24353639,21448915,15451914,15346857,10600973,7057656,7057654,5637703,3503913,2082789,1197423,1197425,2082798,3503928,5637733,8665644,12750255,15388895,10635075,7020493,4415007,2647870,2647871,4415010,7020501,10635097,15388922,21368763,17989122,12750185,8665590,5637701,5637702,8014942,5103260,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367080,18770386,18770385,21967140,254652478,33081863,42025929,52364041,49995156,39978848,31303891,23816940,23816939 Dl.O(d2) = 19376655,14590976,10040035,6598120,254319275,1429421,1429424,2445205,1429477,813225,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1413798,804373,804371,1413794,2445196,4087181,6523207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6798606, s2 = 9333823, dlinesl.size( ) = 2 s1 = 6798606, s2 = 9333823, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6798606, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7918766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6899798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6616311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6616311, s2 = 6566309, int(edited[s2]) = 0 s1 = 6616311, s2 = 6566309, d1 = 3, d2 = 12 Dl.O(d1) = 256574745 Dl.O(d2) = 257672518,257088066,256034310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6616311, s2 = 6566309, dlinesl.size( ) = 2 s1 = 6616311, s2 = 6566309, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6616311, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 7831161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6641981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6641981, s2 = 552508, int(edited[s2]) = 0 s1 = 6641981, s2 = 552508, d1 = 36, d2 = 51 Dl.O(d1) = 256868572 Dl.O(d2) = 14081714,255717587,34258467,256170018,30297848,22899490,22899491,30297852,255792790,29154350,21845667,18746519,15775435,15775436,21845785,29154476,29154798,37714867,29154277,21845591,255005130,10927313,15775307,21845611,21845563,21845564,21845409,15775169,10927230,7228601,4555618,2738903,2738901,4555609,7228587,10927209,15775129,15393955,10638987,10638988,15393960,21375191,21846047,29154830,22913636,16680677,15775238,10927275,10927276,15775243,16512295,16512294,22716874,30098790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6641981, s2 = 552508, dlinesl.size( ) = 26 s1 = 969446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1276913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9107073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9107073, s2 = 10199759, int(edited[s2]) = 0 s1 = 9107073, s2 = 10199759, d1 = 49, d2 = 34 Dl.O(d1) = 51067520,40926980,32149468 Dl.O(d2) = 76896143,258032612,51970947,256305416,35301367,35301366,42026413,42026414,40121850,40121851,50142991,61625042,255386712,52364485,51735268,41466483,255700772,42026393,42026395,42026394,52364516,64213570,65901205,53833985,53833986,255085214,63512793,254772538,255085210,77360743,77360744,85782150,93389929,88447343,74815109,62018710,62018709,64213563,52364509,52364510,42026390,42026391,52364514,64213568,58444521,47068107,47068108,53833988,256939992,62852198,51202807,41046648,41046649,257616641,49428941,257190165,256120365,25351428,33082261,42026377,52364500,268403028,42026428,42026410,42026411,52364529,51735272,41466485,32589624,24928222,24928221,32589620,41466479,42026409,33082282,25351441,25351440,268429387,23457542,255664471,18856488,17179322,12079019,8122465,5203766,5203768,8122469,12079026,15199938,10483732,10483733,15199940,21155562,22149308,16030262,11130654,11130653,12681588,8613272,5598608,3475119,254421799,8613275,12681590,17901962,24282646,31796478,40491384,256939988,24282637,256048307,257103875,62018725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9107073, s2 = 10199759, dlinesl.size( ) = 18 s1 = 6492446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13276159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8207962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8016721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 711553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 711553, s2 = 6879949, int(edited[s2]) = 0 s1 = 711553, s2 = 6879949, d1 = 7, d2 = 7 Dl.O(d1) = 18140081,24583944,258328503,62724481,62724482,259580561,260196046 Dl.O(d2) = 18140081,24583944,258328503,62724481,62724482,259580561,260196046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 711553, s2 = 6879949, dlinesl.size( ) = 2 s1 = 711553, s2 = 6879949, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 711553, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6496065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7592433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7951958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6734154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6734154, s2 = 14040930, int(edited[s2]) = 0 s1 = 6734154, s2 = 14040930, d1 = 44, d2 = 8 Dl.O(d1) = 257841074 Dl.O(d2) = 9648200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6734154, s2 = 14040930, dlinesl.size( ) = 2 s1 = 6734154, s2 = 14040930, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6734154, Dl.E( ) = 76, 2.41e-05 seconds used appending s1 = 9122946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1282431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1282431, s2 = 713752, int(edited[s2]) = 0 s1 = 1282431, s2 = 713752, d1 = 3, d2 = 9 Dl.O(d1) = 32277138 Dl.O(d2) = 18206357,18206358,24669290,32277139,41084522,51261137,62934121,75913067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1282431, s2 = 713752, dlinesl.size( ) = 10 s1 = 10199444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10199444, s2 = 8221232, int(edited[s2]) = 0 s1 = 10199444, s2 = 8221232, d1 = 23, d2 = 15 Dl.O(d1) = 23782858,17452705,12685367,8616480,8616479,12685363,17906320,24287504,31801740,32134597,28087624,28087625,36556915,29357447,22027067,256376317,33666195,25859872,25859871,25859870,33666193,42697090,49047188,39117528,30519916,30519917,30519647,30519646,39117191,49046436,43186068,34100684,26237404,19520277,13973224,9595547,6300182,3947579,2363788,2363790,3016375,1752676,1752677,3016380,3947570,4992896,7865919,7865929,7865930,11781188,16846570,16846290,11781040,7865850,7865849,11781034,16846280,12528021,12528020,16845884,11780830,11780831,16845892,16845696,16845697,16846401,11781099,11781102,16846412,23103682,30518849,30518847,30519355,268967365,257006799,39117648,49047161,49047162,257264393,39116144,30519966,30519965,34099983,26236858,26236845,24678286,18213207,18213210,19519988,13973065,9595437,9595438,13973068,17710367,17710366,24066032 Dl.O(d2) = 255131823,11780726,11781172,16846526,16846353,16846352,23103594,23103486,16846267,16846266,17710350,12528021,12528020,16845884,11780830,11780831,16845892,16845696,16845697,16846401,11781099,11781100,16846404,23103669,30520475,39118140,39118141,49047682,53697367,43185455,43180110,42503434,33504723,25726504,19095075,19095074,23205187,16934766,16934765,23205185,23205212,16934779,11852367,7921652,7921650,11780773,16845767,23102695,30519123,39116213,39116212,43186121,34100609,26237341,19520242,19520240,26237336,20266748,14541095,14541096,20266755,27191015,32967018,28666699,21420454,21420456,28666707,28036399,20868357,20868356,26237347,26237346,34100614,38078432,37337130,28799302,21533265,15518976,15518978,21533277,28799311,37337137,38733952,36850975,28353501,28353503,254957100,58104956,70821543,256705934,112271083,126130194,126130190,112271080,98289363,84380212,256705934,112271083,126130194,126130190,126130185,126130184,126130186,256978432,115660692,115660691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10199444, s2 = 8221232, dlinesl.size( ) = 8 s1 = 234543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9451920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13258257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13258257, s2 = 9674818, int(edited[s2]) = 0 s1 = 13258257, s2 = 9674818, d1 = 23, d2 = 17 Dl.O(d1) = 21087852,28294979,36791647,46677608,36791645,28294977,28294974,28294975,254622338,18377761,254883532,33704761,33704762,33503768,25725657,25725656,33503767,42502397,52911861,62964246,51289186,41109521,32299155,24688144,18220852,12923764,12923763,18220850,24688139,270504360,62964244,75945474,89724411,103829639,260207483,103829634,103829637,103829636,117976209,117976208,131804505,145064375,131804509,131804508,131804507,131804506,261913133,168964824,179253865,188307666 Dl.O(d2) = 255712891,19576357,15900088,15900087,21999660,19577374,19577375,26300577,22762233,16549589,16549590,21543900,15527113,10738725,9640600,6337582,6337583,7718819,4885580,4885581,4884085,2942992,2942990,4884081,7716560,7570517,7570516,11394281,11595356,16623254,22846954,30240426,25704862,19078260,13620528,9326583,6109349,254303423,2290307,254659045,13568736,10014340,6581868,6581869,10014343,14554071,20283899,19006761,19006762,19073356,13616731,9323855,9323854,13616729,13673886,15908755,22010339,19011845,255357771,10259706,6741891,4224605,4224606,6741894,10259712,13565026,13565030,19006682,15708035,10874062,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,2909727,254541213,11474549,16468674,22663338,30038928,256315848,23872941,18581096,13204505,9001483,9001484,9001417,5876684,5876686,3669263,2467273,1426209,1426208,2467269,4124131,6582384,10014972,14554822,20284729,256235995,24241983,24241982,31753789,256650832,31037682,29798304,29798303,29798373,22431851,22431852,29798375,27213259,20284755,20284754,27213257,21226525,255818395,28453588,255388653,10525358,6941656,4362560,4362559,6941654,10525354,15256226,21226515,28453573,36954104,255817404,256306922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13258257, s2 = 9674818, dlinesl.size( ) = 12 s1 = 7851749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9170419, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6439802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6439802, s2 = 6477318, int(edited[s2]) = 0 s1 = 6439802, s2 = 6477318, d1 = 89, d2 = 6 Dl.O(d1) = 254435916,9288076,13565729,254624608,255216406 Dl.O(d2) = 20116404,254976431 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6531384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6531384, s2 = 11029686, int(edited[s2]) = 0 s1 = 6531384, s2 = 11029686, d1 = 14, d2 = 10 Dl.O(d1) = 255643090,32324129,41138163,256619032,268031808,1342736,254114651,246189,435976,766674,1342748,2315024,3853101 Dl.O(d2) = 6157970,6176120,256160711,269101217,271583891,11420874,11435994,255102435,22603031,256420445,48442371,59828601,60491156,257211748,16883829,11813337,7891556,5012373,5012375,6065608,9261021,12140752,13650465,19118935,19118934,25757383,25574499,18965870,18965868,25574490,25925429,30560804,30232750,22840143,17328713,17328714,23645571,23645620,17328750,255550335,25574429,18965830,13530493,9260930,9260931,13530496,18965834,13680653,13680654,255620776,18966156,25574970,33334702,42315323,40938507,40938506,51080462,62710727,256982630,48960432,256692401,33975146,43032182,53510813,60352006,48955293,39033242,39033243,48955295,269362965,258812429,100670082,114716691,261229095,152456628,139731094,260263916,271299939,268141794,15395028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6531384, s2 = 11029686, dlinesl.size( ) = 10 s1 = 13176997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13176997, s2 = 7907506, int(edited[s2]) = 0 s1 = 13176997, s2 = 7907506, d1 = 23, d2 = 21 Dl.O(d1) = 8557626,5554530,5554531,8557614,8262952,5331041,3276864,3276865,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12614350,12553039,12553037,8511088,6869534,4311551,4311550,6869532,10420461,15108071,11243906,7463495,4716480,4716479,7463489,11243895,16176920,12590952,12547392,8506678,8506677,12547388,10474714,10474713,15185615,17789242,12590936,8542358,8542360,8540557,8540555,10710050,12588275,12588274,10710171,7075606,7075605,8259579,5328806,3275449,3275450,5328811,8259692,12232200,8259654,8259652,12232196,17362153,17758086,12565977,12565973,17422867,23748309,31231891,39908398,31232783,31232782,24119068,24119069,254400556,13786909,9452825,6197376,6197375,9452822,13786903,18932354,25545222,23711088,23711087,24153180,31231928,39908426,47999465,38087733,31223604,31223605,31251090,23766653,17745301,12555951,12555952,254848320,17388503,254277626,8275538,12253430,17388500,23712077,17734553,12547771,8507058,8507059,8259896,267914110,14334403,14334404,12232502,12232503,12608726,8557596,5554514 Dl.O(d2) = 26926149,26958152,26958151,35038151,35032599,29425660,28833752,21783387,15724455,15724456,21783390,25145668,25145667,26958617,26958616,29424076,25371407,18787109,13381217,9146474,9146475,13381223,18787123,25371437,26900141,28837303,28862388,21588261,15562733,10764379,7112329,7112330,10764391,15562753,21588292,28862427,23033656,16790183,16790182,23033650,22680589,22680588,30057248,26952185,26952183,22092286,15984870,11097021,11097019,15984867,22092274,29422986,36603422,37008806,28510291,22155252,22155251,23033622,16790170,11739844,11739845,16790172,23033627,21785961,21785963,23033630,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23307452,20067017,18589727,18589728,25145641,30440340,39029470,31422848,31422849,39319679,39319680,35019068,35019069,39354683,47749000,48951374,39029355,30440165,23033332,16789989,11739753,11739754,16789997,22239906,22239904,22458954,16290940,16290939,22458950,29826350,30828544,30828543,26953388,21785939,15727443,10890930,10890931,15727447,21785946,26930555,20044874,14359731,14359729,15626299,21662208,28940997,37482918,31244469,26901579,21826122,21826119,267844088,22092365,15984919,15984918,16482420,11484344,11484343,16482416,22680069,17128772,17128771,20052008,14366417,14366422,20052022,26937954,35019002,29825965,22458543,20069941,20069939,20182342,20182340,25409148,18818400,18818402,25409153,25884018,19224446,19224449,25884028,29076294,33025686,25299552,18724983,18724984,25299541,23833140,23833142,31323697,35035502,31323748,31323749,25053932,18516620,18516619,20061459,20061458,26946549,35027333,254613910,39852271,31171258,29736808,24086217,18932545,13497114,13497112,18932540,24086200,17786559,17786560,12608190,12608192,17809638,17775622,12580031,12580030,17738464,19699835,18337439,13017229,8862982,8862980,13017220,254140032,13017330,13017313,9187835,9187836,13438738,18861979,14335082,14335081,20015452,17716178,12532778,12532779,17716183,24072642,24077255,24072753,24072754,17800360,13180289,8984228,5865292,3661813,3661812,5865285,5562726,3446479,3446478,5562718,8567034,7631840,7631842,8533188,8533187,8532733,5531170,3416714,2017043,1153903,647336,647339,1153863,2016960,3416564,5530871,4012054,4012056,6393162,4881572,4881571,7712924,11587308,16612700,22833774,30225429,38808195,31586959,24081405,17724215,12539765,12539764,267801754,17387068,17387066,17799671,17799669,19229035,17746023,12579956,12579957,17775519,12589906,8541507,5539158,3424372,3424370,5539151,8541495,8569736,8493305,5494218,3384360,3384361,5494225,8493317,8540792,8540793,8561834,5559022,3443756,3443754,5559013,8561824,12613456,13358382,13358383,17825050,24154122,24154121,17825137,17825135,24083449,17726139,12541107,8501648,8501647,8568322,5563922,5563924,8568329,12622151,17363334,17363333,23331365,23331366,30753840,25888735,19229039,14210694,9769251,6423190,6423193,9769257,14210705,19836699,24187760,19836664,14211279,14211275,19837349,20151009,20151008,27043596,24072618,24071816,24071817,31577503,24207436,254609930,23040432,16795529,16795530,23040434,254374358,22833398,16796819,11744450,9944776,9944773,14453562,9943917,6535629,4094942,4094943,6535634,9943931,12541171,12541172,12549378,12549380,17736509,24094628,25339602,20148412,16606056,11581629,9943663,6535499,5493238,5493239,8492533,12531473,12624067,8570169,8570170,9718560,9718559,14126228,15062945,11581696,10387525,10387524,12540055,8501063,8501064,12540056,17724597,24081830,255195990,22826969,16606036,11581617,11581620,16470642,15107855,15107854,21034022,22827092,16606149,11581704,7708873,4878709,2939660,1704686,969008,545755,545753,969004,1704677,2939648,4878679,7708811,11581598,12539969,9945144,9945145,11475191,7632844,4828972,4828973,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,9945615,9945612,255191186,6536618,6536391,4095331,2450037,2450036,4095326,6536383,9945211,14455670,20151321,27043859,35129779,35130030,35129014,27042383,20149583,20149584,24131692,254813228,40328657,38614343,30039969,30039968,254866912,30218959,22826596,22826597,24169015,20151923,14456114,14456112,20151921,16605952,14454822,9944652,9944653,14454825,20150307,27043018,26442511,19703325,19703326,26442447,19703260,14127547,9719385,6393858,4012439,2404678,1391497,1391498,2404681,4012444,6393864,9719396,12599360,8550247,8550253 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6655686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6655686, s2 = 235223, int(edited[s2]) = 0 s1 = 6655686, s2 = 235223, d1 = 72, d2 = 94 Dl.O(d1) = 256998380 Dl.O(d2) = 2129357,3572330,5736963,8806966,8823012,5780158,3602083,3602088,5780121,7650430,4840431,2916865,1692039,962173,962082,542195,542192,962067,1691797,2916398,4839734,7649382,5703055,3548707,2113205,2113207,3548709,5703063,8759382,12879527,12952670,12952673,12500728,8813429,8467940,5473609,5473608,5702411,8758402,12878212,18160116,24608889,32197405,269030601,269925321,258128994,70864793,59138171,59138170,255900836 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1285396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1285644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 977981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9070121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15054695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1220327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1287610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1289078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1290478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6431113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6431113, s2 = 10151123, int(edited[s2]) = 0 s1 = 6431113, s2 = 10151123, d1 = 4, d2 = 2 Dl.O(d1) = 254294128 Dl.O(d2) = 254288486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6431113, s2 = 10151123, dlinesl.size( ) = 2 s1 = 6431113, s2 = 10151123, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6431113, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 9478564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1291968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1291968, s2 = 14240421, int(edited[s2]) = 0 s1 = 1291968, s2 = 14240421, d1 = 28, d2 = 33 Dl.O(d1) = 32559716 Dl.O(d2) = 254589195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1291968, s2 = 14240421, dlinesl.size( ) = 2 s1 = 1291968, s2 = 14240421, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1291968, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 2344301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2344301, s2 = 8186172, int(edited[s2]) = 0 s1 = 2344301, s2 = 8186172, d1 = 12, d2 = 9 Dl.O(d1) = 63410640,256091768 Dl.O(d2) = 47995466,59379138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2344301, s2 = 8186172, dlinesl.size( ) = 30 s1 = 1292560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1292835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8098651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8098651, s2 = 1293000, int(edited[s2]) = 0 s1 = 8098651, s2 = 1293000, d1 = 12, d2 = 10 Dl.O(d1) = 32071400,259572247,270595086,63519033,257263372,32595627,32595626,41472534,48583634,48583636,38667544,30090420 Dl.O(d2) = 24933853,18422152,18422154,22708853,22708854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1293143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1293466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6425490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425490, s2 = 11473384, int(edited[s2]) = 0 s1 = 6425490, s2 = 11473384, d1 = 31, d2 = 10 Dl.O(d1) = 254200274,254434770,24946214,18431613 Dl.O(d2) = 188779623,188779624,196565056,203233914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425490, s2 = 11473384, dlinesl.size( ) = 2 s1 = 6425490, s2 = 11473384, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6425490, Dl.E( ) = 34, 6.91e-06 seconds used appending s1 = 1293924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1293924, s2 = 656134, int(edited[s2]) = 0 s1 = 1293924, s2 = 656134, d1 = 33, d2 = 25 Dl.O(d1) = 32625005 Dl.O(d2) = 16753339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1293924, s2 = 656134, dlinesl.size( ) = 10 s1 = 629099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6619204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6619208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6619208, s2 = 593116, int(edited[s2]) = 0 s1 = 6619208, s2 = 593116, d1 = 8, d2 = 23 Dl.O(d1) = 256608643 Dl.O(d2) = 15355053,16684379,21966279,15872215,11001180,7282435,7282436,254637886,255640082,37862644,256100958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6619208, s2 = 593116, dlinesl.size( ) = 14 s1 = 6497392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6497392, s2 = 6846813, int(edited[s2]) = 0 s1 = 6497392, s2 = 6846813, d1 = 31, d2 = 42 Dl.O(d1) = 255237073 Dl.O(d2) = 255759094,14566365,256236305,44767526,55676839,259180055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6497392, s2 = 6846813, dlinesl.size( ) = 8 s1 = 8151766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1294841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657210, s2 = 1189674, int(edited[s2]) = 0 s1 = 11657210, s2 = 1189674, d1 = 0, d2 = 0 Dl.O(d1) = 5838492,5838491,8944020,13122310,18470631,24994708,30179569,22790563,16574545,11555653,7689386,7689385,4865916,2932091,2932090,4865913,7689384,11422875,11622550,16643711,11611689,11611688 Dl.O(d2) = 5838492,5838491,8944020,13122310,18470631,24994708,30179569,22790563,16574545,11555653,7689386,7689385,4865916,2932091,2932090,4865913,7689384,11422875,11622550,16643711,11611689,11611688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657210, s2 = 1189674, dlinesl.size( ) = 2 s1 = 11657210, s2 = 1189674, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11657210, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1295100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6734259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10158460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158460, s2 = 8241539, int(edited[s2]) = 0 s1 = 10158460, s2 = 8241539, d1 = 26, d2 = 19 Dl.O(d1) = 47043796,37153341,37153340,47043795,58418348,59707723,72444093,60535473,49135328,39208387,30612206,23192488,16925474,16925475,23192491,30612208,25433982,25433983,25433984,25433985,28836991,28637891,21397620,15411671,10652912,10652914,15411676,21397629,28637910,37153335,42135206,257197097,49167560,39241737,39241738,257596477,258827145,84709481,258967956,95167786,89751386,75972594,256079612,41128983,254894224,24701811,24717892,18244740,18244739,24717889,32334081,41149300,41149293,41149292,51334701,53459538,51334728,41149307,41149306,51334726,63015716,63015694,63015693,65480066,257556100,63015409,63015408,255109882,38594581,254792082,59902911,63585380,76671924,63717845,51911065,51911064,63717843,72644026,59902914,59902915,72644028,85487780,85487781,76671929,76671928,90535486,86246035,86246034,86246058,268412568,255933082,100213821,105028174,258164986,73545016,73545015,258314001,62471166,270440701,62471219,50873289,40758502,40758503,50873291,62471221,63857648,52038063,41722759,32802703,255642875,13182064,18552414,268483771,257173239,32802758,32802759,32802722,32802720,41722747,32802693,25100897,18552402,18552401,25100894,25100951,18552451,257762419,268825348,40441724,31747215,24236286,17861562,17861563,24236288,31465430,23969803,23969805,256531549,40149084,31465440,23969815,17620394,17620395,22442057,16273786,11315921,7513488,4749602,2862427,1661314,945230,945231,1661318,2862437,4749620,7513524,11315989,255151690,29808481,29808483,29808587,22441984,16273741,11315888,11315889,16273743,22441987,29808595,268406415,16273722,11315872,7513506,4749612,4749611,7513504,11315951,16273848,22441843,28256406,28256405,36751466,28691164,21440371,15445018,10678289,10678287,15445011,21440355,16273654,16273652,22441862,17166950,12070710,12070709,17166945,23440539,29808459,22441875,22441874,29808458,33408656,33408662,33408661,38380215,29808316,29808315,29808464,25546354,25546353,33307918,30868864,30868866,39472297,48291564,48291224,38380522,29808559,29808558,38380331,268277866,48291112,38380428,255832638,255832640,58491092,71212877,268475586,268475584,52184730,48291260,38380554,29808585,22441982,255913525,38380551,48291257,59678208,72413486,86010016,86010023,72736066,72736064,60787004,51492540,41279254,41279255,51492542,51901576,63708616,63708617,256742926 Dl.O(d2) = 55395202,256131106,31556844,31556845,40242858,48845386,38925349,256125764,71994788,59258224,47861999,37943210,37943207,35168400,27080523,27080522,35168396,44546082,55393384,67616903,55278466,48846273,255662170,50910010,62510411,51901481,41601473,41601474,51516185,52519622,42161385,42161386,35170455,27082130,20184179,20184180,22938502,30339419,38925362,44433386,44433384,55278305,51900625,41600540,33504470,25726285,25726287,25015876,25015875,32698687,25015765,25015764,32698680,30339698,30339699,38925764,41683264,41299557,41299558,41279018,32440637,32440638,41279024,51492240,41600554,32699527,25016275,25016270,32699521,41602359,51902321,55274572,44428049,35053299,35053298,257308107,48845727,41602396,32699545,32699547,30339908,22938813,16703413,16703411,22938805,30339896,32699183,32699186,25948990,25948991,27074610,27074608,22938648,16703331,11663368,7774167,4926531,4926530,7774163,11663359,255239183,8950937,5842299,3645722,3645721,254636869,13133569,18486618,268337460,20179001,14478040,14478041,9962730,254473435,4102045,6547781,9962727,14479982,20182003,27079141,35166966,41753811,32832899,25127905,18575299,18575301,14479947,14479948,20181949,27079064,27076516,27076514,32832820,25127842,18575266,18575267,25127848,25829422,19177215,13694616,13694615,19177206,25356307,20182000,14479980,14479979,14481831,14481833,20184898,27083087,27079825,27079824,27078500,20181567,14479678,14479679,14479397,9962387,9962388,14479402,20181096,255334316,256226018,257317236,123697201,112155105,98192226,84296064,70744413,58030323,46657772,46657773,46657779,269304277,58030319,70744410,70744422,58030328,256833759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158460, s2 = 8241539, dlinesl.size( ) = 36 s1 = 1295884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657840, s2 = 1296678, int(edited[s2]) = 0 s1 = 11657840, s2 = 1296678, d1 = 6, d2 = 6 Dl.O(d1) = 121792665,268993758,65556740,53531787,49982376,39965815,31290695,23804147,17470848,17064605,17064606,23331277,30373887,30373888,38959545,31292863,23860850,268410856,17517243,17517244,23860895,31354540,256012307,17470648,17470649,23803941,22351683,16200811,16200812,22351685,29706755,22831993,16610916,16610917,22831997,22972237,22972236,23804109,22828998,22828999,22831310,16610168,11585019,7711169,4880164,2940501,2940502,4880167,7711174,11585026,16607965,11583249,7709927,267981641,16607961,22115708,22115707,29449403,22418460,16610739,11585539,7711528,4880401,2940606,2940605,4880384,4742319,4742317,4880339,4880349,4880347,6912389,10484140,15200344,15976734,15976733,11585421,11585420,11583024,11583023,16607727,16610538,16610401,16253186,11299929,7709621,7709620,7709439,7709440,4879405,2940069,1704933,1704932,2940064,4879393,4880312,4880313,7711399,7709942,4879379,4879377,7709936,11582958,11585520,11091090,11091091,15976904,22082697,26192047,22831419,22831418,29413063,22082685,15976881,15976883,11585409,11585408,268234445,22418657,22418656,16608702,11583791,11583793,11585283,11585281,16252619,16252618,16606902,16606903,22116143,16003419,11110293,11110294,16003422,22116148,29412915,22828524,16607439,16607440,16607323,11582633,254524444,22082440,29412902,29783310,22417896,22417895,29783308,30222423,30222424,38804314,30220700,30220699,37107599,28599184,28599183,37107598,257437923,51929524,41626893,32720934,32720935,41626895,51929526 Dl.O(d2) = 121792665,268993758,65556740,53531787,49982376,39965815,31290695,23804147,17470848,17064605,17064606,23331277,30373887,30373888,38959545,31292863,23860850,268410856,17517243,17517244,23860895,31354540,256012307,17470648,17470649,23803941,22351683,16200811,16200812,22351685,29706755,22831993,16610916,16610917,22831997,22972237,22972236,23804109,22828998,22828999,22831310,16610168,11585019,7711169,4880164,2940501,2940502,4880167,7711174,11585026,16607965,11583249,7709927,267981641,16607961,22115708,22115707,29449403,22418460,16610739,11585539,7711528,4880401,2940606,2940605,4880384,4742319,4742317,4880339,4880349,4880347,6912389,10484140,15200344,15976734,15976733,11585421,11585420,11583024,11583023,16607727,16610538,16610401,16253186,11299929,7709621,7709620,7709439,7709440,4879405,2940069,1704933,1704932,2940064,4879393,4880312,4880313,7711399,7709942,4879379,4879377,7709936,11582958,11585520,11091090,11091091,15976904,22082697,26192047,22831419,22831418,29413063,22082685,15976881,15976883,11585409,11585408,268234445,22418657,22418656,16608702,11583791,11583793,11585283,11585281,16252619,16252618,16606902,16606903,22116143,16003419,11110293,11110294,16003422,22116148,29412915,22828524,16607439,16607440,16607323,11582633,254524444,22082440,29412902,29783310,22417896,22417895,29783308,30222423,30222424,38804314,30220700,30220699,37107599,28599184,28599183,37107598,257437923,51929524,41626893,32720934,32720935,41626895,51929526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657840, s2 = 1296678, dlinesl.size( ) = 2 s1 = 11657840, s2 = 1296678, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11657840, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7967162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7967162, s2 = 5057555, int(edited[s2]) = 0 s1 = 7967162, s2 = 5057555, d1 = 93, d2 = 74 Dl.O(d1) = 256019508,23298883,23298884,21071512,15135915,10439240,6881816,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,32753169,37929481,29362788,22031996,22031995,21058323,15126324,10433134,10433135,15126326,21058325,28259574,36754644,29178754,21868024,15794041,15794040,21868018,29178748,28428405,21204690,21204689,28428403,36927024,255867357,15794038,21868016,29178744,30695556,35311665,256348682,23010851,29189711,36907690,36737558,28993718,28993719,30414673,23009842,16770570,11724868,7827510,7827509,6874040,4315182,4315180,6874035,10426026,15115277,21043280,28242038,36737114,46625139,39003793,37879158,29310306,24471068,24471067,32033545,32084844,40856433,42809813,42436489,33444439,25673878,25673877,21709407,21709406,28993772,28259916,21058587,21058586,23010223,30415178,33443781,42436695,52841470,42436630,42436631,42437238,269089699,30415345,23010358,23010359,30415347,29173516,21863469,21863470 Dl.O(d2) = 210230858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7967162, s2 = 5057555, dlinesl.size( ) = 2 s1 = 7967162, s2 = 5057555, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7967162, Dl.E( ) = 98, 2.69e-05 seconds used appending s1 = 1297945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1297945, s2 = 8321083, int(edited[s2]) = 0 s1 = 1297945, s2 = 8321083, d1 = 4, d2 = 13 Dl.O(d1) = 32765818 Dl.O(d2) = 25069302,18527388,18527391,25069308,32765826,29062447,29062446,37611703,258085733,85180174,260226583,85026070,71453653,58722945,47334087 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1297988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8195932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6583558, s2 = 1887479, int(edited[s2]) = 0 s1 = 6583558, s2 = 1887479, d1 = 24, d2 = 18 Dl.O(d1) = 256223506,25077190,25077191,23097780,16842012,11778062,11778066,13837851,9713693,9713698,7109051,7109050,10759598,15555817 Dl.O(d2) = 48834270,60229013,72966491,63118074,62734188,51600887,41375909,41375910,51600891,53380009,53380011,65383850,62734185,51103324,40961414,40961415,37467924,28927303,255417351,10805307,10805309,15616939,21650812,28927330,37467969,39402292,30799092,23372594,18199903,18199901,268466067,41053599,51210657,58299023,47374729,40960940,40960941,51102908,51210675,51210676,61610921,61610920,63324387,63324388,75824417,62860568,51210680,51210681,256392882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6583558, s2 = 1887479, dlinesl.size( ) = 20 s1 = 929074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13570773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8371326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6497930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8052856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8052856, s2 = 4000039, int(edited[s2]) = 0 s1 = 8052856, s2 = 4000039, d1 = 12, d2 = 14 Dl.O(d1) = 32836432 Dl.O(d2) = 146305912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8052856, s2 = 4000039, dlinesl.size( ) = 2 s1 = 8052856, s2 = 4000039, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8052856, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 1301324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8085689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6477812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6559284, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13262695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13262695, s2 = 727529, int(edited[s2]) = 0 s1 = 13262695, s2 = 727529, d1 = 12, d2 = 3 Dl.O(d1) = 24074812,17718318,13441814,9191159,6016770,5497288,5497287,8495936,8582159,12639992,11462907,11462908,12608247,11232259,7453562,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,254280747,5555236,8558384,12609656,17794106,12607203,12578731,12578730,8609700,5595496,5595495,254609331,5524579,5505801,5505802,6014010,3764568,3764570,3763335,3763333,5527721,267914509,8554859,8554858,12590420,8542005,8542004,254650277,5354895,3291160,3291162,4881039,5493691,5493692,3732456,3732455,3293280,3035745,3035746,5017882,5487687,3441104,3392042,1999102,1142668,1142669,1999103,3392046,3411462,2013204,1151409,645903,358415,358416,645905,1151413,2013209,3401162,2005331,1146335,643041,643039,1146327,2005324,1997343,1997342,1996724,1996725,2023921,1158257,649848,360476,360477,649853,1146486,643139,643141,1146494,1154219,2010168,1149458,644825,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172243,1941968,3301851,5370977,8300564,5354906,5354907,8300566,255861773,10890502,7201982,4537400,2727346,2727347,4537394,4537393,7199446,4535771,4535770,7199389,10883026,9874185,9874186,14368042,15718977,14336294,14336293,16198003,11259896,7474987,4724092,4724093,7474990,9897917,6505008,4076254,4076253,6505003,9871424,7205377,6491107,6491108,7199034,6497026,6497027,9876253,9866378,6481235,4533742,2725297,2725299,4533747,3423836,3423837,4534081,2725525,2725527,4533242,4534052,7196813,4979542,4979540,3007949,3007950,4979555,7844715,10891078,15727641,14373328,254686855,6490541,6486132,6486134,9873442,9895077,9895076,9873456,9873455,14367288,14381639,14381640,15718102,10881198,9965101,6549386,4103048,2454288,2454290,4103055,6549394,4533631,4533630,254297428 Dl.O(d2) = 18588463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13262695, s2 = 727529, dlinesl.size( ) = 8 s1 = 1302116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6498078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 802457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 802457, s2 = 6598797, int(edited[s2]) = 0 s1 = 802457, s2 = 6598797, d1 = 6, d2 = 4 Dl.O(d1) = 20904449,28076737,36544732,41133618,51317262,62996328,51317278,41133628,32319872,24705408,24705409,32319875,254851616,29319525,21990804,21990805,18812677,254659194,32475382,39161342,39161341,49091024,256309954,84084287,71320484,71320483,74859308,62060586,50568015,47195656,37287246,37287247,257710595,40869831,32098064,32098063,40869828,41629549,32723359,32723357,25149946,25149947,25150732,32857683,32723276,25150863,18593917,18593916,18502807,13145597,8959447,5848010,3649465,3649466,5848017,8959467,13145632,18502869,13213288,13213286,18502833,25036412,18593788,18593790,13213348,9007007,5879605,5879603,9007001,13213336,18593892,25150793,25036385,20028467,20028468,26912901,34994361,26914031,26914032,25150774,25149883,18593236,18593237,25149889,25036445,25036444,25150763,32723311,25036402,25036401,26913831,26913848,25036370,25036372,25149868,25149867,25036357,18502801,18502800,25036354,32723261,25036436,18502858,18502857,25036430,26913636,26913646,25036407,25036408,32723318,25150678,25150677,25150856,25150806,18593886,13213332,13213331,18593882,25036397,18502827,13145603,13145604,14345478,20028464,26912911,20029604,20029605,26913214,25149861,18593226,18593225,25149856,32856669,34994595,26913613,20029139,18502830,18502829,14346273,14346272,20029380,26913834,32723255,25036348,25036349,25036342,25036344,32723253,26913874,20029418,20029417,20029180,14346109,14346108,20029174,26913651,26913674,34995095,34995243,32857750,32857751,26913557,20029335,20029334,26913542,26913543,32723285,25036376,18502813,18502814,20029276,26912904,20029614,14346543,14346544,20029094,20029092,26913567,32856659,26913580,26913149,26913143,26913142,26913166,20029373,14346269,9856450,9856449,14346262,20029363,26913714,20029230,20029228,26913708,34995011,26913698,20029412,14346304,14346305,14346116,9856357,6474362,6474363,9856360,14346124,20029201,26913684,33174901,25432184,20029088,20029075,20028768,14346009,14346008,20029069,20029770,14346707,14346708,20029776,26913471,26913472,26914045,26914044,26913563,26913133,20029113,14346050,14346049,20028726,14345722,14345724,14345735,20028749,14346254,9856443,9856440,14346247,20029346,20029233,14346145,14346146,20029237,26913494,20029285,14346190,9856407,6474398,6474395,6474367,4057257,4057258,6474370,9856371,14346039,14346038,14346029,9856296,9856297,14346019,9856279,9856275,9856274,14346013,20028702,14346057,14346058,20029122,20029001,14346085,14346082,20029149,20029581,14346517,9856699,6474588,6474586,9856242,9856112,6474187,4057159,4057157,6474181,9856101,14345759,14346227,9856803,6474659,6474660,9856808,9856341,9856256,6474470,4057316,2428539,1404854,799499,799498,1404851,1404842,1404840,2428509,4057272,6474393,6474347,4057248,4057247,6474316,4057231,2428488,1404823,799488,799489,1404829,2428495,4057243,6474336,6474573,6474574,9856683,14346509,14346655,14346656,14346659,11397504,7573015,4789490,254536743,9856090,9856092,14345745,14345652,9856031,9856032,14345654,14346645,9856823,9856824,14345976,9856525,9856504,6474454,4057305,2428533,2428532,4057302,6474444,9856397,9856399,9856641,9856325,9856216,6474255,6474254,6474267,4057202,2428470,1404814,799483,799482,1404808,2428454,4057180,2428568,2428567,4057372,6474580,9856690,9856223,9856221,9856835,6474689,4057441,2428598,2428596,4057438,4057217,4057218,4057430,6474669,6474157,6474156,9856038,14345659,14346381,14346380,14346376,9856559,9856558,9855889,6474448,6474449,9856476,9856478,14346301,9856646,6474546,4057359,4057360,6474549,6474720,4057459,4057460,6474246,4057191,2428461,2428462,4057165,4057167,6474202,6474569,4057368,4057367,6474566,9856679,14345697,9856065,9856064,9856486,9856485,9856620,6474704,6474702,9856024,6474142,4057146,4057147,6474149,4057393,2428575,2428574,4057330,6474495,4057343,2428555,2428554,4057338,4057111,4057110,6474070,6474527,9856603,14345669,9856587,6474515,4057347,4057348,6474521,9856596,9855934,9855933,14345522,14345907,14345799,9856129,6474196,6474197,9855991,6474120,4057138,4057139,6474125,9855998,9856626,14345686,14345688,14346427,9856611,9856610,9856860,9856859,14346692,14346480,9856656,6474555,6474554,6474607,4057387,4057386,6474602,9855966,6474105,4057131,2428432,1404795,1404794,2428425,4057117,6474084,9855913,6474160,6474162,9856056,6474507,6474506,9856573,14346395,14346438,20028510,20029165,20029166,14346491,14345784,9856120,9856121,9856010,6474130,4057141,4057142,6474134,9856015,14345630,20028621,14346681,9856849,6474695,6474694,9856845,14346676,15026566,10354405,10354404,14345895,14345897,9856715,6474597,6474596,9856711,9904437,9855958,9855954,9855952,10728484,7088301,7088302,9855905,9855907,7088224,7088222,10728265,10728266,14346100,14346101,14346390,20029477,26912949,20028789,14345789,14345790,20028792,17279039,17279040,21524377,15512295,10728256,10728257,14345623,14345624,15512328,15512723,21524650,15512653,15512652,15512286,14345887,9856773,6474648,4057415,4057414,6474643,9856766,14346597,20029682,15512362,10728292,254503559,2681137,2681136,4462843,267965143,15512356,255842113,37324659,47233433,37324784,28788587,21524598,21524597,28788584,28788420,21524413,255410013,15512702,21524815,26914096,20029654,14346577,9856762,9856761,14346590,20029677,26914124,28788502,21524490,15512404,10728322,10523914,7088214,4462860,2681146,1553125,883058,883059,1553128,1553155,2681191,4462889,4462890,7088275,10728433,15512573,21524668,28788379,26681615,26681614,21524600,15512517,10728413,7088264,7088265,10728419,15512552,21524397,21524396,21524412,28788418,21524818,21524810,15512688,15512689,13485999,9226702,9226704,13486004,15512635,15512634,21524745,26914117,28788650,28788497,21524483,15512394,10728594,10523919,6940650,4361824,4361823,2681188,1553151,883070,498303,498304,883076,1553161,2681199,4462958,7088280,10728445,15254291,15254289,19079348,13621397,13621396,19079343,21524622,15512528,10728403,10728402,15512523,21524612,28788597,36951192,28450911,21224111,15254271,10523895,6940636,6940635,9226712,6042630,6042629,9226706,13486010,16033247,11132685,7384436,4665296,254259512,927285,522689,522688,927283,1630626,1851940,1851942,3163638,3163662,3163668,3159827,3159794,1849705,1055620,593529,593531,1055623,1849708,3159800,1850252,1055962,593726,330973,330974,593730,1055970,1850264,3160600,1850229,1850228,3160149,1850406,1056077,1056079,1850414,3160615,3160614,3160753,3160746,3160747,5180227,3160852,1850435,1850434,3160847,5180372,8085074,5184864,3163234,1851706,1056752,594175,594176,1056755,1851711,3163242,5184878,8092833,12037755,17128884,23401268,30829027,39432855,49362155,49362157,60765398,73514601,73514602,73514598,60765395,60765396,73514599,87133395,101131596,261256447,273119494,262704442,166854806,177401991,186717675,194831165,186717673,177401988,262225428,261161240,261256445,155162369,166854802,177401983,185984948,273133879,154150987,141485428,262261885,154150986,141485427,128124089,114237284,114237285,261201267,261748301,128124094,114237287,100202823,258780895,59889438,59889439,257137454,50462075,61957998,72631616,59889434,48495462,258156967,258156969,48495463,257547971,48495467,48495470,38580781,30008958,22638157,255485287,11461314,11461313,11461315,7623518,4823385,4823384,7623520,11461319,16449568,22638176,22817811,22817812,30209752,32928774,29151969,29151970,37712206,256089984,37388841,37388840,30008961,30008962,25247524,18676764,18676763,22724871,22724870,30106138,33309204,42289251,52675508,64575637,77758244,91685350,91685351,105892484,260284045,133945875,133945874,133945868,120104027,105892481,91685348,91685347,105892480,120104026,133945867,261113506,133945865,147168191,147168193,133945872,133945873,147168196,159527528,262938311,189855127,197511465,204030621,209469784,209469785,263346464,209469787,204030625,197511469,189855128,261436826,170856024,259655720,189782903,260272750,209421871,261436828,197450024,273447967,133774399,256641384,256125944,105669942,105669941,111846697,111846702,97912420,84041643,70506461,57805251,46449347,46449348,46449352,256281497,20934508,15026412,254712043,4277200,4277201,6818620,10354257,14972487,20874499,28042467,36505948,46364222,258000847,83933949,83933948,97792958,111715712,121736239,272045259,107354942,121736242,135680191,148926831,151706445,139001954,125662838,111846699,99861006,99861005,258885310,141113669,153787073,156038494,143500103,130169356,116330397,102235809,88237903 Dl.O(d2) = 273865018,264170373,184615985,175016252,164201513,152319191,139590732,126216728,260507821,98375329,98375327,84466316,70910082,70910083,269336356,256398946,49362158,39432865,30829033,23401271,17128889,17128890,23401273,23401272,254237180,38002895,29439922,22106649,15995402,11103991,7433984,7433983,4732749,4732748,7488845,11228272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 802457, s2 = 6598797, dlinesl.size( ) = 2 s1 = 802457, s2 = 6598797, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 802457, Dl.E( ) = 14, 1.48e-05 seconds used appending s1 = 13205605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1302908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1303384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2130078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9669382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9669382, s2 = 15935650, int(edited[s2]) = 0 s1 = 9669382, s2 = 15935650, d1 = 10, d2 = 9 Dl.O(d1) = 260479210,259258638,102097098,261305937,155932460,263955619,186735941,178012287,178012286,263064746,261716600,101157712,115235185,129166341,129166457,115235265,115235267,261258709,155186525,166878252,167544227,155932478,143392408,261848219,261258711,115235269,101157765,101157763,115235267,129166459,142542980,143392372,259258636,102097090,102097092,116154348,102097088,102097087,116154345,130062466,143392355,143392759,143392758,155932803,167544555,155932838,155932835,166878254,272608624,116154359,102097094,88110191,74498462,74498461,88110189,81061821,67594077,255366886,26948501,20063479,14379242,254636044,6494979,9885181,14379248,20063496,25291620,18718043,13324480,9104134,9104133,13324472,12705754,8632477,8632474,12705766,13895494,17358755,17358753,17126642,12035966,8091472,8091473,12035970,11467598,11467599,16458424,15428746,15428747,17358562,12228708,8256530,5326481,5326479,8256522,12228692,12228650,12228647,16141549,16782404,23023532,20063366,20063234,14379091,9885083,6494923,6494922,9885073,14379077,9885171,9885170,14379231,20063466,23398677,23398678,25291617,20987647,15074859,15074861,16782112,23023129,23678976,17358710,12228781,8256565,8256562,10915131,15760659,16048808,11143604,7391430,4669701,2813435,1632256,1632253,2813431,4669692,7391414,11143577,16048756,22173011,18527637,14007104,14007102,13163859,13163857,13618830,13034252,13034255,9564489,8953229,8953226,13136755,9441223,9441227,9475469,13261293,13554189,13554190,17946294,17946254,12716768,12716770,12716782,12716783,255006074,21151774,15197166,15197165,21150019,256300805,28367247,21150738,15196540,15196539,21150737,21151211,15196823,255382947,15197519,21152297,28369108,28369186,257418725,49165794,268737858,255648014,21149519,15195801,15195800,21149510,22141231,28365691,21150240,15196233,15196230,21150228,28366621,28369441,21152562,15197697,10482361,10482360,11028488,7302901,4607363,2773289,1608564,1608566,2773291,4607368,7302912,10481691,10481690,15196449,17844511,17355846,17355848,23220801,16947877,16947878,23220802,30640856,23217459,21152781,21152780,28369678,30644582,30644581,31288056,28365772,28365774,36864030,42801378,39239534,30644665,23222142,16949104,16949103,21149550,21149551,23218930,23222421,16949345,16949347,23222425,30644907,31731263,24223126,17851739,17851738,21920002,15835570,15835571,21920004,29238268,36866903,30641948,30641947,37908350,37908352,30645137,23222745,23220913,16947970,16947971,23220917,17821986,15198129,15198131,16945333,23217818,28366091,21153280,15198195,10482603,10482600,15198182,21153252,16946011,11860218,11860217,16946007,17356217,17356216,23221619,30642417,23219308,16946601,255449842,22082925,15977111,11091245,11091246,11862708,16949845,23223014,23222705,23222706,23221842,16948831,16948832,23221845,23220775,23220776,23221727,16948717,16948716,12226665,8255011,8255012,12226668,11862484,7927865,7927866,8745504,8745506,8745505,12226438,15254527,15254528,21224435,16946494,11860507,11860505,8255266,5325553,3273341,3273342,5325556,5039862,3051173,1777460,1013351,571204,571203,1013347,1777451,3051151,254376333,3051113,254434402,11862775,11861619,7927365,7927362,9967889,9967887,7749782,7749778,11632967,13184556,8987553,8987555,9696350,14097880,9696290,9696288,13260214,254200086,25214276,254635040,52189646,64026914,77162949,91073159,84450213,70893332,58179198,46811898,36933519,28434754,21210507,21210506,18720960,18720961,15243977,15243974,21210808,28435225,36934002,36933281,28434857,28434856,21210567,21210568,28434895,36933666,42295736,36933894,28435108,21210792,15243966,10516392,10516391,15243963,21210791,28434907,28434906,21210944,15244081,254723905,6935292,6935259,4357932,4357931,6935257,10516394,15243972,21210805,28435219,256845395,46811952,36933580,28435116,24852178,24852177,32494074,36933606,28434937,21210592,15243830,15243829,21210590,28434829,28434828,36933611,32494121,28434968,28434969,28434648,21210367,21210368,15243991,15243992,21210836,28435173,21210769,15243951,15243952,21210773,28435177,36933955,46811757,39445499,36933399,28434614,28434615,36933402,46811782,46812280,36933988,36933986,43903203,43903204,46812285,46812253,46812252,46812042,41341562,41341563,51563793,46811975,36933621,28434834,28434833,34666114,28434795,28434793,34630249,34630252,36933529,38199725,38199727,34630595,26640423,19828187,19828186,16137184,16137183,22280881,29632963,38199738,38199697,38199696,33475452,33344498,25584769,19828002,19828003,25702189,19075921,13618709,13618708,19075917,25702180,33475467,27192563,27192564,35312278,42300353,42300354,36933382,36933338,29632907,22280852,16137168,16137170,22280858,29632922,34630265,43902812,52872747,43902785,34630237,26640163,19828031,19828030,19828165,26640251,19828085,14203826,14203825,19828079,26640217,19828067,14203817,14203815,19828063,26640213,24852232,18355924,18355923,24852227,32494140,41341618,41341626,38199760,29632983,22280895,22280896,29632977,26640168,26640166,34630245,34630471,43902879,37506625,29633005,22280908,22280907,29633002,33344487,33344485,42325577,38199672,38199674,38163982,38163985,34630194,26640145,26640146,34630199,43373922,43373900,34275017,34275018,43373904,43903071,34630464,26640333,19828140,19828037,14203792,9764291,9764289,14203807,14203850,14203851,19828129,26640306,26640290,26640291,26640110,19827997,14203774,14203773,19827991,26640103,34630122,34630328,34630142,34630143,42732303,34630569,26640408,26640406,34630567,43903181,43373906,43373907,42469021,34630087,26640083,26640084,34630091,43289603,34630052,34630053,43902582,42469020,33475486,33475484,42469016,43902585,43902586,43902625,54645807,54646067,54645838,48776401,43902853,43902854,40215604,31529632,24027397,24027396,29597459,29597461,38163974,48076732,49959170,49959169,39942179,31267380,31267381,39942181,37339309,28801265,28801266,37339313,43902982,43903006,43903004,54646088,66903071,63710278,63710277,59230745,47833007,43903053,34630449,34630448,43903050,54646126,48350209,38447964,29891240,29891241,38447972,48350225,58786886,58786887,48350234,38447975,38447974,48350230,43310521,34212319,26338581,26338582,34212321,38467333,37940096,37940095,41603726,41603738,32700901,25017429,25017430,32700904,36948264,36948245,28448216,21221825,21221824,28448214,36948236,46826134,58192074,59734459,55466029,44617057,44617055,51903564,51903565,59734425,48350237,48350239,59734428,53128062,42677342,42677343,53128064,58427881,59734409,48350217,48350218,59734411,48350307,48350308,59734480,50236029,40215651,40215652,48350323,38448043,38448042,48350317,38467336,29909788,29909789,38467340,40922056,32144734,32144735,40922062,51062610,62692007,52393086,46826136,36948238,36948239,46826142,46826157,48350280,38448008,29891264,29891265,38448012,48350284,58786876,58192108,58192109,70904810,59649683,59649685,59734378,58786868,48262739,48262738,59649761,59734436,72470195,59734449,48350267,48350268,59649717,70904805,58192104,58192103,54646038,43902906,43902904,54646033,54646019,54646018,66903132,70893446,59649724,59649723,52304515,52304516,53532539,53532540,50057177,50057176,59649668,59649669,50058255,50058257,40038959,38351773,31357815,31357812,40037719,47398713,37490276,37490277,29891304,22536541,16362325,11386708,7564888,7564887,11386703,16362317,22536497,29779279,29779302,22414282,22414256,22414255,29779260,38351665,38351609,29779226,29779227,38351612,48262609,38368924,29796209,29796208,38368920,40480111,46812093,46812095,58179352,59649699,52712714,52712715,59049943,50515249,50515251,48262615,38351624,37162545,28646222,21404484,21404487,28646223,37162548,38351677,38351675,30364997,30364998,38351739,38351621,38351620,29779317,22414298,22414299,22414323,16362300,11386693,11386695,16249615,22414266,16249624,16249625,22414293,29779312,38351732,29891258,22536513,22536512,29779315,22414295,255176154,36649267,36649268,28173720,20992619,15078873,10400634,10400633,15078871,20992618,28173718,36649266,46516426,258015993,259267173,111924564,125744495,111924567,97985127,97985128,111924569,125744504,139085483,262141201 Dl.O(d2) = 139085493,151789157,151789158,262626759,263071905,163664115,163664116,262626761,151789159,261067305,125744504,139085483,151789149,139085490,125744500,111924567,111924565,125744496,139085485,151789152,163664109,174497262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9669382, s2 = 15935650, dlinesl.size( ) = 12 s1 = 9689126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9689126, s2 = 15234550, int(edited[s2]) = 0 s1 = 9689126, s2 = 15234550, d1 = 7, d2 = 7 Dl.O(d1) = 160328486,171532598,181532981,190312564,197893447,204354285,207776229,201957396,195039877,195039876,195039875,186954833,177674186,177674185,186954831,177674187,167175376,155543228,142994227,129666377,129666378,142994225,129666376,115769569,101724417,87751722,87751721,74147378,61366989,49886256,39864150,31181806,23692161,23692162,23692163,17369679,12237478,12237477,16051912,16051911,22177586,17369683,12237481,8263281,5331267,5331266,254842071,12237479,12237480,17369681,17369696,17369697,23692186,23692187,31181817,31181816,39864157,49886266,52301765,52301766,64153551,77302104,91222197,105444712,119683522,133558712,129666392,115769588,101724434,101724435,271856213,119530133,119530134,105302745,91088788,91088789,105302747,119530136,133391013,146635854,157685184,145272961,132035205,118214884,104055253,89925538,76119306,63113696,51416796,41220081,254309520,24773655,32396637,41220085,41875079,41875078,52203561,41875081,32941944,25224040,18656851,18656852,25224041,32941945,32941942,32941941,41875077,52203560,64041679,77178088,91088783,105302740,105302759,105302758,271358092,260252127,107657202,93254345,79139165,65784843,53728629,43216717,34128954,26262561,26262562,34128956,43216707,34128943,34128942,43216705,34128959,26262563,19542755,13993525,9613243,254954017,19542756,26262564,26262547,26262546,34128935,43216700,53728616,65784824,79139153,259732537,122031944,135959547,149183559,161469374,172644553,182570517,175159562,273099416,182570523,172644557,172644558,172644556,164368964,164368963,262168142,152503718,152503717,164368973,175159565,184735308,193096794,184735314,175159574,164368981,164368980,164368979,175159573,182422870,182422871,184735312,262651734,152503714,148964564,135724791,121784053,107399298,92988936,92988935,107399295,92988938,92988937,107399294,92988934,92988933,92988932,107399292,121784048,135724789,148964560,161270625,152453928,139728372,126352308,112484593,112484594,98492615,98492614,271300403,84569273,71004998,58289626,46923818,37045749,28546160,21322229,21322230,28546162,37045753,257433077,71004995,58289627,258043163,84569279,98492624,105900360,91692644,77764865,64581817,64581818,77764867,91692646,258811670,133954669,138766871,125437830,120112592,120112593,111634917,97713727,83854889,258136866,97713728,83854892,83854891,70329742,57639556,46295317,40637667,31921866,31921867,40637668,46295323,36442356,27983273,20819031,20819030,27983270,28795694,28795696,37333167,47243158,39431099,30826936,30826935,37891081,29323145,21993951,21993952,29323147,254410120,37333174,37333173,47172810,37266729,28734535,21477302,15474831,15474830,21477297,28734528,32253915,41047096,47172805,47172807,47094913,47094914,40254242,31566747,24061173,17706183,17706181,24061169,31566745,40254239,50275589,41047375,41047379,51203551,62852902,75816186,76840948,89598263,75816139,75816141,89598265,75816206,62852922,51203567,257580534,64581819,52681462,52681463,42294927,42294925,52681424,51203534,46824325,36946435,28446682,21220564,21220565,28446688,36946445,46824342,48509927,38595093,30022431,30022430,38595089,46450513,36584803,36584804,46450518,57806393,52681395,52681397,60335895,48938253,39015152,30426398,23021362,16780793,16780792,21114924,28324535,36819735,46702243,58074283,50241316,50241314,55451374,44602408,44602407,55451369,46581845,36695356,36695357,46581849,52681461,47172766,47172767,42294889,42294890,46824322,46824323,39015086,30426357,23021335,16780778,16780779,23021339,30426369,38595102,30022434,22649536,22649537,30022437,36584807,28112346,20935594,15027508,15027507,20935591,28112342,36584801,46450503,57806379,48938238,48938235,60335879,60335937,48938289,48938288,48937916,48937915,60335634,60336076,60336075,73076376,67636519,67636518,73076257,73076259,60336079,50346187,40320036,40320035,50346182,268654528,50346178,61830064,60336101,60336099,73076397,73076247,60335918,60335917,73076244,73076263,73076262,73076304,73076303,83979174,86680827,73076286,73076285,77597537,64428612,64428611,74794777,74794778,73076290,60335973,48938314,39015199,30426429,30426428,30426411,30426412,39015182,48938275,39015169,39015168,48938271,60335912,70581924,57880431,57880432,255011896,73076270,60335943,60335944,73076273,86680816,74047416,74047419,77261558,77261557,87650586,75816325,75816324,89598425,85610408,85610409,92747451,91793152,77870576,64680627,64680628,77870580,91793154,99398227,99398242,85457429,85457428,99398240,112414004,112414005,99560784,99560783,112414000,98425331,84503736,70939759,58222685,46854900,46854902,58222687,70939763,62853013,51203657,51203656,62853008,75816312,84503741,70939766,58222692,46854904,46854905,47888465,256380335,22075586,22075587,24654743,24654742,32254197,41047473,51203666,62853024,75816330,65379621,65379622,78684249,77870570,77870571,91793147,89598434,89598435,99398235,99398231,85610403,85610404,99537639,85590480,72003614,70877128,70877127,84434530,84503731,72003529,72003528,78382295,78382294,256380330,74224667,74224668,77596014,64427262,52553112,52553111,64427259,77596012,91526970,105750484,103714339,99537582,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Dl.O(d2) = 160328486,171532598,181532981,190312564,197893447,204354285,207776229,201957396,195039877,195039876,195039875,186954833,177674186,177674185,186954831,177674187,167175376,155543228,142994227,129666377,129666378,142994225,129666376,115769569,101724417,87751722,87751721,74147378,61366989,49886256,39864150,31181806,23692161,23692162,23692163,17369679,12237478,12237477,16051912,16051911,22177586,17369683,12237481,8263281,5331267,5331266,254842071,12237479,12237480,17369681,17369696,17369697,23692186,23692187,31181817,31181816,39864157,49886266,52301765,52301766,64153551,77302104,91222197,105444712,119683522,133558712,129666392,115769588,101724434,101724435,271856213,119530133,119530134,105302745,91088788,91088789,105302747,119530136,133391013,146635854,157685184,145272961,132035205,118214884,104055253,89925538,76119306,63113696,51416796,41220081,254309520,24773655,32396637,41220085,41875079,41875078,52203561,41875081,32941944,25224040,18656851,18656852,25224041,32941945,32941942,32941941,41875077,52203560,64041679,77178088,91088783,105302740,105302759,105302758,271358092,260252127,107657202,93254345,79139165,65784843,53728629,43216717,34128954,26262561,26262562,34128956,43216707,34128943,34128942,43216705,34128959,26262563,19542755,13993525,9613243,254954017,19542756,26262564,26262547,26262546,34128935,43216700,53728616,65784824,79139153,259732537,122031944,135959547,149183559,161469374,172644553,182570517,175159562,273099416,182570523,172644557,172644558,172644556,164368964,164368963,262168142,152503718,152503717,164368973,175159565,184735308,193096794,184735314,175159574,164368981,164368980,164368979,175159573,182422870,182422871,184735312,262651734,152503714,148964564,135724791,121784053,107399298,92988936,92988935,107399295,92988938,92988937,107399294,92988934,92988933,92988932,107399292,121784048,135724789,148964560,161270625,152453928,139728372,126352308,112484593,112484594,98492615,98492614,271300403,84569273,71004998,58289626,46923818,37045749,28546160,21322229,21322230,28546162,37045753,257433077,71004995,58289627,258043163,84569279,98492624,105900360,91692644,77764865,64581817,64581818,77764867,91692646,258811670,133954669,138766871,125437830,120112592,120112593,111634917,97713727,83854889,258136866,97713728,83854892,83854891,70329742,57639556,46295317,40637667,31921866,31921867,40637668,46295323,36442356,27983273,20819031,20819030,27983270,28795694,28795696,37333167,47243158,39431099,30826936,30826935,37891081,29323145,21993951,21993952,29323147,254410120,37333174,37333173,47172810,37266729,28734535,21477302,15474831,15474830,21477297,28734528,32253915,41047096,47172805,47172807,47094913,47094914,40254242,31566747,24061173,17706183,17706181,24061169,31566745,40254239,50275589,41047375,41047379,51203551,62852902,75816186,76840948,89598263,75816139,75816141,89598265,75816206,62852922,51203567,257580534,64581819,52681462,52681463,42294927,42294925,52681424,51203534,46824325,36946435,28446682,21220564,21220565,28446688,36946445,46824342,48509927,38595093,30022431,30022430,38595089,46450513,36584803,36584804,46450518,57806393,52681395,52681397,60335895,48938253,39015152,30426398,23021362,16780793,16780792,21114924,28324535,36819735,46702243,58074283,50241316,50241314,55451374,44602408,44602407,55451369,46581845,36695356,36695357,46581849,52681461,47172766,47172767,42294889,42294890,46824322,46824323,39015086,30426357,23021335,16780778,16780779,23021339,30426369,38595102,30022434,22649536,22649537,30022437,36584807,28112346,20935594,15027508,15027507,20935591,28112342,36584801,46450503,57806379,48938238,48938235,60335879,60335937,48938289,48938288,48937916,48937915,60335634,60336076,60336075,73076376,67636519,67636518,73076257,73076259,60336079,50346187,40320036,40320035,50346182,268654528,50346178,61830064,60336101,60336099,73076397,73076247,60335918,60335917,73076244,73076263,73076262,73076304,73076303,83979174,86680827,73076286,73076285,77597537,64428612,64428611,74794777,74794778,73076290,60335973,48938314,39015199,30426429,30426428,30426411,30426412,39015182,48938275,39015169,39015168,48938271,60335912,70581924,57880431,57880432,255011896,73076270,60335943,60335944,73076273,86680816,74047416,74047419,77261558,77261557,87650586,75816325,75816324,89598425,85610408,85610409,92747451,91793152,77870576,64680627,64680628,77870580,91793154,99398227,99398242,85457429,85457428,99398240,112414004,112414005,99560784,99560783,112414000,98425331,84503736,70939759,58222685,46854900,46854902,58222687,70939763,62853013,51203657,51203656,62853008,75816312,84503741,70939766,58222692,46854904,46854905,47888465,256380335,22075586,22075587,24654743,24654742,32254197,41047473,51203666,62853024,75816330,65379621,65379622,78684249,77870570,77870571,91793147,89598434,89598435,99398235,99398231,85610403,85610404,99537639,85590480,72003614,70877128,70877127,84434530,84503731,72003529,72003528,78382295,78382294,256380330,74224667,74224668,77596014,64427262,52553112,52553111,64427259,77596012,91526970,105750484,103714339,99537582,85590374,72003509,59267370,59267371,62853034,75816340,74553263,61769676,50289939,40268714,31581777,24076131,24076132,31581781,40268718,50289949,61769686,74553272,88168341,88168338,88168339,99537611,85590433,85590435,85590481,74553307,61769701,50289959,40268725,31581783,31581782,37953450,29388411,22057863,22057864,29388415,37953453,47871766,59267426,72003585,74553284,74553285,85590444,72003575,60579691,60579692,73323377,86933239,100914785,111717958,98543951,84619562,84619563,98543953,99537578,94416767,94416768,87630537,85590425,72003562,59267408,59267406,72003559,85590418,99537604,99537627,113549161,113549162,100055414,86093011,86093010,87586357,73985801,61206470,49727735,39709143,31032184,31032183,39709139,49727729,258082720,49231840,49231839,270355985,60632847,60632846,73379014,259456507,85019685,85019686,85144092,85144091,86994415,86994414,98945225,100987244,86994384,73378970,60632816,49231835,49231836,60632819,61246420,49767527,39748905,31071156,23587655,255996591,39748896,49767510,61246397,74026615,73985785,61206455,49727724,39709136,39709135,49727721,49767502,49767504,60632833,49231842,39305074,30707243,23290907,23290908,30707245,39305079,47326980,37418452,37418451,47326975,58715982,71447090,58715998,47326989,47326990,58716004,71447119,85019714,77293091,77293092,91213412,88168375,88168374,88168310,74553244,61769660,61769661,72495628,72495629,74708787,61915015,61915016,61914970,61914971,61914960,50424498,40390451,40390450,50424496,60632841,49231846,49231847,60632843,73379012,86994408,88337037,88337036,86689817,73085889,73085890,86689818,87781404,74176679,64144034,52291862,52291861,59504982,72239847,64144023,52291854,52291853,64144020,74708802,61915028,61915027,59504983,59504984,61396302,58715989,58715988,61915009,50424524,40390468,31697744,24189895,24189896,31697748,40390475,49915937,61396143,72246511,59512056,49916093,39896315,39896314,49916092,61396280,74176697,74176737,61396353,49916171,49916170,61396351,74176734,87781353,77293097,64144048,52291874,41951082,33008802,33008799,268503074,39896162,49915915,61396121,74176592,61396158,61396157,268503076,39896182,31219447,31219448,39896184,49915942,61396146,74176604,61396343,49916156,39896366,31219579,23735803,23735802,31219577,39896363,49916153,49915978,39896211,31219470,31219471,31219586,31219585,23923043,23923042,31219547,23735786,23735787,31219551,39896323,49916106,61396297,268992799,39896333,39896165,31219440,23735707,17411070,17411069,23735704,31219439,257058115,61396123,49915949,49915948,61396151,74176609,61396282,61396283,61396254,49916062,39896271,39896270,39896279,268992795,39896374,39896373,39896259,39896260,40092392,50112898,61396375,61396175,61396174,63206435,51496249,51496250,63206439,74176581,61396115,49915907,39896154,31219429,31219430,31219623,39896424,49916204,61396234,61396270,49916080,39896388,256492886,61396358,74176576,61396107,61396109,61396098,49915888,39896135,39896137,49915892,61396100,61396197,49916008,49916006,61396196,74176630,76267941,74176662,61396229,49916041,49916042,58008497,46633852,36746728,36746729,46633854,58008501,70723801,61396316,49916120,49916119,61396314,61755817,50275569,257058119,39896197,49915967,61396169,49916033,49916034,61396220,49916031,49916029,50508220,61984517,74780628,87781391,88394829,74760977,61960960,61960961,74760979,88394832,84275201,70723771,258021323,258021325,58008511,58008510,58008483,58008482,70723779,84275220,259272291,70723799,70723800,84275245,84777492,84275214,70723776,70723775,259272287,112131961,101754844,87781347,258713758,61396165,61984511,50492613,50492612,61984509,258089876,88154776,88154775,101754864,101754866,259975232,125968402,118370742,104211613,104211612,118370740,261052178,139320283,125968399,116526822,116526823,115801556,115801557,104211587,104211588,260223971,259339674,102411819,116506831,118370719,104211595,104211596,104211597,118370730,132187226,145416653,157817743,145416646,132187216,129700806,115801518,115801519,118370763,132187238,133929109,120085671,115801515,115801514,104211604,90079749,90079748,271045269,77736563,91664416,105872669,103714217,89598299,75816195,62852906,62852904,75816191,89598292,103714212,105872638,91664358,91664357,105872633,120085674,133929111,147153222,147153213,133929101,133929102,147153216,145416661,139540954,126165201,126165202,139540958,144944742,131696324,126165211,112304583,98321747,98321746,112304581,120085698,120085697,272377909,118370768,118370767,120085666,105872619,91664346,77736477,77736475,91664339,105872616,259281702,113087163,112652842,98657151,98657152,260525443,117868644,131696321,126535397,112672814,112672813,120085633,259281716,77736392,77736393,91664268,105872567,120085616,259901036,84412222,70854619,58140207,58140206,58140200,58140199,70854609,76267951,90079780,104211636,105872583,91664284,77736418,64554060,64554061,77736423,91664290,259281706,125968405,126517006,271184348,84727465,84727466,98657149,112304565,259901038,120085663,105872617,99100210,85178764,71614328,58894603,58894602,71614326,85178759,99100208,113087167,112304592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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9689126, s2 = 15234550, dlinesl.size( ) = 2 s1 = 9689126, s2 = 15234550, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9689126, Dl.E( ) = 8, 2e-05 seconds used appending s1 = 10158911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158911, s2 = 14099072, int(edited[s2]) = 0 s1 = 10158911, s2 = 14099072, d1 = 45, d2 = 36 Dl.O(d1) = 256998220,31208082,23721623,23721624,255632216,20882636,14980344,10312577,254634486,255234430,36515508,41414024,268599636,268283941,256091878,254900872,25227980,25227979 Dl.O(d2) = 260539111,140077815,140077802,140077803,152768634,140077823,126729574,112877179,112877168,260539111,140077815,140077802,140077803,152768633,140077832,140077833,140077830,126729587,126729586,139935936,126572485,112708839,112708840,258372706,98889430,112877182,126729579,140077826,140077816,140077817,152768636,140077805,140077804,140077830,126729587,126729586,139935936,126572485,112708839,112708840,112708842,112708843,126572487,112877158,112877157,126729558,140077799,126729561,126729560,140077804,140077830,126729587,112877188,98889434,84963964,71389256,58654280,47262587,37353097,28814281,255968882,7095979,10739896,15528754,16800989,16800990,23046737,30033184,255504988,255839648,255411643,15528752,254976393,9923473,14426083,12830200,8723848,8723847,12830195,18095879,24527693,32103682,258508608,26252879,255731352,14580182,20316660,27248974,27248972,35373521,27249288,27249287,28167254,255374733,15094820,10410784,10410783,15094817,15094830,15094785,10410767,10410768,15094791,21016751,28209851,28209922,32151444,32151406,25969857,25969856,20915478,18737817,13339218,9113878,5963059,3728887,3728884,5963016,5963126,3728912,2232539,2232540,3728919,5963142,9114023,13339451,18738139,25315561,27252245,33042820,35377412,27252666,20319709,14582464,10034133,10034131,14582461,14405690,14405691,20092670,20320311,20320310,27253296,28293028,21086092,15146189,255379531,26169426,255686808,43068964,53547926,268752322,26402722,268164285,9696969,9696968,14098736,19668368,26402715,34277882,28309269,28309270,29261246,30026664,22653368,19294898,13795199,13795200,19294899,25959734,257126233,32104946,40877311,257711145,75576285,258244831,61334571,74116900,259491691,115740833,261277495,262328845,142964917,155514458,152671144,139972437,126618313,259931180,84846186,71272272,257449648,47152222,47152221,58540608,259311797,64612154,257210759,33343719,25584160,25584161,256654653,46953653,256317693,21342609,15367897,10618396,254498985,2640500,267962911,21342607,28570510,37073496,46953652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158911, s2 = 14099072, dlinesl.size( ) = 38 s1 = 7985312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 994530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8160305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8160305, s2 = 9167667, int(edited[s2]) = 0 s1 = 8160305, s2 = 9167667, d1 = 1, d2 = 1 Dl.O(d1) = 62432,62434,114021,208474,379711,681475,1208456,2098882,3526487,5668998,5668997,8707943,12806822,255607965,256571991,40812832,257707021,75457999,89210173,89210133,75457970,75457971,89210135,103305547,105720505,91496067,91496068,271542181,104896342,90725076,76852598,63747237,51936588,41633240,32726500,25039170,18505129,13147378,8960835,5849039,5849040,8960836,13147379,18505133,22987242,16749232,16749233,22987244,30390253,26648486,19835193,14209601,14209600,11703530,11703529,16749235,22987248,30390257,36818609,254623974,15166969,254493998,28323046,29728107,29728145,23805403,17472211,12318290,10265978,10265981,14929091,20827579,23950893,19072172,13615798,9323278,9323277,13615794,19072166,25697836,33471042,42464461,52029768,41716444,255815972,23595060,23595059,28689674,256322772,25098208,18550451,18550450,18673727,25243685,32965499,41904736,257768283,77233900,91149693,105367587,257700698,105029882,90850436,76971748,63859994,52040456,255211350,49166512,60565907,73309104,86919261,100899683,91444583,77514696,64349044,52478802,42123718,33167364,257786475,62653993,62653994,75596234,62653967,62653968,257127121,32116719,32116724,32116723,40890532,51027938,43860486,43860487,38246768,29681925,255465453,16184284,22330519,29681923,38246763,48155926,59542781,72276857,85868267,84355039,84355028,84264818,258026237,46708190,256298207,28330288,36826096,46708188,58079708,70713509,57996807,46620615,46620614,46707677,36825656,36825657,28330410,21119424,15172130,255809317,28330090,257332284,26678928,26678927,26252512,19534690,13987184,13987183,19534685,26252504,256699921,270060807,93244952,107647721,261511331,161460201,172636789,268864998,94919604,256783522,66232306,54104446,256713759,34375301,43518795,54104443,54459962,57536414,57546356,57546354,54989859,44167741,34825790,26782430,26782431,34434637,43620382,54260526,44160239,34876902,26820714,19956267,19956269,14314364,14289229,9832479,6458836,4048008,4047983,2423372,2423367,4047996,2423610,2423607,4048816,4043321,4043318,6448442,9812986,14281191,19940927,26797906,26625475,26625479,34615110,43887209,54630458,55144792,62628977,51005877,40870721 Dl.O(d2) = 62432,62434,114021,208474,379711,681475,1208456,2098882,3526487,5668998,5668997,8707943,12806822,255607965,256571991,40812832,257707021,75457999,89210173,89210133,75457970,75457971,89210135,103305547,105720505,91496067,91496068,271542181,104896342,90725076,76852598,63747237,51936588,41633240,32726500,25039170,18505129,13147378,8960835,5849039,5849040,8960836,13147379,18505133,22987242,16749232,16749233,22987244,30390253,26648486,19835193,14209601,14209600,11703530,11703529,16749235,22987248,30390257,36818609,254623974,15166969,254493998,28323046,29728107,29728145,23805403,17472211,12318290,10265978,10265981,14929091,20827579,23950893,19072172,13615798,9323278,9323277,13615794,19072166,25697836,33471042,42464461,52029768,41716444,255815972,23595060,23595059,28689674,256322772,25098208,18550451,18550450,18673727,25243685,32965499,41904736,257768283,77233900,91149693,105367587,257700698,105029882,90850436,76971748,63859994,52040456,255211350,49166512,60565907,73309104,86919261,100899683,91444583,77514696,64349044,52478802,42123718,33167364,257786475,62653993,62653994,75596234,62653967,62653968,257127121,32116719,32116724,32116723,40890532,51027938,43860486,43860487,38246768,29681925,255465453,16184284,22330519,29681923,38246763,48155926,59542781,72276857,85868267,84355039,84355028,84264818,258026237,46708190,256298207,28330288,36826096,46708188,58079708,70713509,57996807,46620615,46620614,46707677,36825656,36825657,28330410,21119424,15172130,255809317,28330090,257332284,26678928,26678927,26252512,19534690,13987184,13987183,19534685,26252504,256699921,270060807,93244952,107647721,261511331,161460201,172636789,268864998,94919604,256783522,66232306,54104446,256713759,34375301,43518795,54104443,54459962,57536414,57546356,57546354,54989859,44167741,34825790,26782430,26782431,34434637,43620382,54260526,44160239,34876902,26820714,19956267,19956269,14314364,14289229,9832479,6458836,4048008,4047983,2423372,2423367,4047996,2423610,2423607,4048816,4043321,4043318,6448442,9812986,14281191,19940927,26797906,26625475,26625479,34615110,43887209,54630458,55144792,62628977,51005877,40870721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8160305, s2 = 9167667, dlinesl.size( ) = 2 s1 = 8160305, s2 = 9167667, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8160305, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14163314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163314, s2 = 1306086, int(edited[s2]) = 0 s1 = 14163314, s2 = 1306086, d1 = 11, d2 = 3 Dl.O(d1) = 23715716,255166881,8277208,12256023,17391841,23715718,31203439,257057121,49904305,61384837,270382057,70913545,257425813,36956709,28456294,256816558,18681897 Dl.O(d2) = 32975491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163314, s2 = 1306086, dlinesl.size( ) = 2 s1 = 14163314, s2 = 1306086, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163314, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 1306285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1307062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 996425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 996600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6621200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6621200, s2 = 533466, int(edited[s2]) = 0 s1 = 6621200, s2 = 533466, d1 = 3, d2 = 1 Dl.O(d1) = 256627917 Dl.O(d2) = 13561276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6621200, s2 = 533466, dlinesl.size( ) = 2 s1 = 6621200, s2 = 533466, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6621200, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7604932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8155386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8155386, s2 = 6976468, int(edited[s2]) = 0 s1 = 8155386, s2 = 6976468, d1 = 18, d2 = 14 Dl.O(d1) = 262149882,19807585,25283195,33008159,41950364 Dl.O(d2) = 260854654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10196649, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6673120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1309798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1309798, s2 = 9554357, int(edited[s2]) = 0 s1 = 1309798, s2 = 9554357, d1 = 15, d2 = 14 Dl.O(d1) = 33028972,33028971 Dl.O(d2) = 141805865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1309798, s2 = 9554357, dlinesl.size( ) = 2 s1 = 1309798, s2 = 9554357, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1309798, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 14513833, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1883457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 999383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 999383, s2 = 10355142, int(edited[s2]) = 0 s1 = 999383, s2 = 10355142, d1 = 17, d2 = 21 Dl.O(d1) = 25316912,25316913,33044793,41988465,46979791,37096289,37096290,269311511 Dl.O(d2) = 77327695,260261741,133584005,146841567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 999383, s2 = 10355142, dlinesl.size( ) = 2 s1 = 999383, s2 = 10355142, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 999383, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14163720, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163720, s2 = 8075459, int(edited[s2]) = 0 s1 = 14163720, s2 = 8075459, d1 = 6, d2 = 6 Dl.O(d1) = 72368163,59633912,48247084,38336738,255910111,16241313,255470519,16241314,12606103,8555304,5552491,3437128,3437127,5552489,3437242,2033348,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,4866173,2955145,2955146,4869544,4087683,2445517,2445518,1699288,1699287,2929555,4861609,7683504,5983512,3741509,2239896,1298917,1298918,1295464,1295463,2233948,3731422,5967113,9119481,9926445,8836361,5758107,3585830,2948879,2948880,4893292,5985380,3742647,2240521,1679593,971934,971932,547451,547450,972127,1294933,2232910,2232988,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802653,7592235,11414774,7585929,4798153,2892149,1678572,1678571,2892105,4798081,7585805,4898054,4898053,7736068,11417698,7588337,7588338,268089577,255920653,255946681,16655453,13557365,12630671,8575772,8575775,12630678,17836762,16402675,16402674,16431381,11446476,11446160,7612104,4815909,2902217,2902216,4812492,7606935,11439666,11291841,7497077,4739141,2856193,1657652,1657621,943183,943181,1657618,2856128,4739020,7496835,11291442,16241310,22403369,29766009,38336734,48247081,59633909,58088182,46716511,36833876,255809817,15176436,10466879,6899510,6899509,10466875,15176431,21124963,22292317,16147745,11218437,7443704,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218519,16147855,16151465,22296657,29648657,38215192,48125516,59513029,270877064,50063343,40043911,31363702,31363703,40043913,50063311,50063312,61541425,74317835,87921001,101894962,98529089,84604598,71040824,71040823,84604596,98529086,112523609,119711778,105472616,91250532,77330834,64183512,52333325,41994059,33050644,25322180,18743325,18743326,25322182,33050648,33050725,25322246,18743377,18743376,25322235,33050706,41994116,52333378,64183559,77330828,77330829,91250524,105472606,119711770,133586138,146843481,159216439,170554274,180685548,189583415,197272695,199351439,191989061,183430430,262894100,150489755,261393472,260228498,258984916,55417436,257156588,35190411,35190412,44568557,55415858,258539123,86006651,72410080,256726980,38376822,29804943,22438808,22438809,29804944,38376825,256726982,70505994,57804797,46448932,36583260,28110825,20934124,254798176,6818301,4276985,4276986,6818305,10353863,15026043,20934145,28110861,36583310,30239655,30239654,26007693,24269165,17890081,16081974,16081973,21181598,28402356,30244205,26344991,26344989,26008502,26008503,31193303,39874914,256111495,18687954,13294610,9076640,9076639,13294609,18687952,25259492,257180799,64110130,77256676,91174999,105396636,119632590,119632589,107959221,93521658,93521657,94391906,258312246,58170368,58170367,70884413,84441724,70884419,70884414,70884409,70884410,70884408,58170363,46803016,46803015,269307643,70884413,84441724,70884419,70884414,58170366,258033169 Dl.O(d2) = 72368163,59633912,48247084,38336738,255910111,16241313,255470519,16241314,12606103,8555304,5552491,3437128,3437127,5552489,3437242,2033348,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,4866173,2955145,2955146,4869544,4087683,2445517,2445518,1699288,1699287,2929555,4861609,7683504,5983512,3741509,2239896,1298917,1298918,1295464,1295463,2233948,3731422,5967113,9119481,9926445,8836361,5758107,3585830,2948879,2948880,4893292,5985380,3742647,2240521,1679593,971934,971932,547451,547450,972127,1294933,2232910,2232988,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802653,7592235,11414774,7585929,4798153,2892149,1678572,1678571,2892105,4798081,7585805,4898054,4898053,7736068,11417698,7588337,7588338,268089577,255920653,255946681,16655453,13557365,12630671,8575772,8575775,12630678,17836762,16402675,16402674,16431381,11446476,11446160,7612104,4815909,2902217,2902216,4812492,7606935,11439666,11291841,7497077,4739141,2856193,1657652,1657621,943183,943181,1657618,2856128,4739020,7496835,11291442,16241310,22403369,29766009,38336734,48247081,59633909,58088182,46716511,36833876,255809817,15176436,10466879,6899510,6899509,10466875,15176431,21124963,22292317,16147745,11218437,7443704,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218519,16147855,16151465,22296657,29648657,38215192,48125516,59513029,270877064,50063343,40043911,31363702,31363703,40043913,50063311,50063312,61541425,74317835,87921001,101894962,98529089,84604598,71040824,71040823,84604596,98529086,112523609,119711778,105472616,91250532,77330834,64183512,52333325,41994059,33050644,25322180,18743325,18743326,25322182,33050648,33050725,25322246,18743377,18743376,25322235,33050706,41994116,52333378,64183559,77330828,77330829,91250524,105472606,119711770,133586138,146843481,159216439,170554274,180685548,189583415,197272695,199351439,191989061,183430430,262894100,150489755,261393472,260228498,258984916,55417436,257156588,35190411,35190412,44568557,55415858,258539123,86006651,72410080,256726980,38376822,29804943,22438808,22438809,29804944,38376825,256726982,70505994,57804797,46448932,36583260,28110825,20934124,254798176,6818301,4276985,4276986,6818305,10353863,15026043,20934145,28110861,36583310,30239655,30239654,26007693,24269165,17890081,16081974,16081973,21181598,28402356,30244205,26344991,26344989,26008502,26008503,31193303,39874914,256111495,18687954,13294610,9076640,9076639,13294609,18687952,25259492,257180799,64110130,77256676,91174999,105396636,119632590,119632589,107959221,93521658,93521657,94391906,258312246,58170368,58170367,70884413,84441724,70884419,70884414,70884409,70884410,70884408,58170363,46803016,46803015,269307643,70884413,84441724,70884419,70884414,58170366,258033169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163720, s2 = 8075459, dlinesl.size( ) = 2 s1 = 14163720, s2 = 8075459, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163720, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 8213793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10240486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7584618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7584618, s2 = 1611111, int(edited[s2]) = 0 s1 = 7584618, s2 = 1611111, d1 = 5, d2 = 10 Dl.O(d1) = 268503485,255254548 Dl.O(d2) = 255208546,40590832,40590809,31883633,31883632,40590807,257694421,41054334,33959849,26122266,19428176,13900840,9539399,9539398,13900838,19428172,24659641,32260029,41054318,260204191,71762628,78420544,269528593,255428792,25867115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7584618, s2 = 1611111, dlinesl.size( ) = 5 s1 = 8044675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8044675, s2 = 6590954, int(edited[s2]) = 0 s1 = 8044675, s2 = 6590954, d1 = 81, d2 = 49 Dl.O(d1) = 18385631,24884264,25334257,25334258 Dl.O(d2) = 256317591 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1311935, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7878971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1000978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8062431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6645470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9024796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9671707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13459011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13459011, s2 = 2015788, int(edited[s2]) = 0 s1 = 13459011, s2 = 2015788, d1 = 18, d2 = 11 Dl.O(d1) = 132823756,118994996,104804979,90634502,76768583,63675077,51877097,51877098,63675080,76768585,75913643,62934666,268930654,41055804,32261352,24660658,24660659,32261356,41055811,51213124,62863297,75827462,77312044,64164049,64164048,73110460,86716144,99784951,85831986,72239931,72239930,85831985,89690501,75913644,62934667,62934668,75913648,256670524,60371034,48975082,39053354,30463723,23055472,16808962,16808963,19011578,18727861,13332089,13332088,18727860,25302798,33029025,41972146,47909655,47909654,41972148,41972149,52312560,59517991,59517990,58948361,47565608,47565609,51877096,63675076,58191906,46825908,36947951,36947950,37659518,37659519,47565615,37993546,29431324,22099535,22099536,29431325,28159363,20979980,15068114,255372559,28159366,36633907,256940320,269075070,59505045,59505046,48117159,268635339,22288241,22288242,29639760,38206326,47909613,48117153,38220716,29654723,22303065,16157345,11225583,11225584,16157346,22303068,29654729,38220726,31108868,31108869,39788395,42750129,42750128,48117168,38206334,38206335,42060432,33111195,25375854,18790843,13384064,9148489,9148490,13384067,9485452,6220111,6220113,9485457,13829777,19338465,18796434,18796435,256122719,18791242,18791241,25376274,268129918,18791684,13384846,9149160,5987670,3744018,3744017,5987667,9149707,13384543,9148874,5987512,3743911,3743910,5987510,6180584,3867631,2316722,1343580,1343581,1344240 Dl.O(d2) = 52404249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13459011, s2 = 2015788, dlinesl.size( ) = 12 s1 = 6470787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6470787, s2 = 16274975, int(edited[s2]) = 0 s1 = 6470787, s2 = 16274975, d1 = 0, d2 = 10 Dl.O(d1) = 9148425,254894314,25375739,33111084,42060346,38281301,29714577,22362631,16209333,16209334,22361292,22361293,29717335,29714630,25249465,18678727,13285950,9069147,9069146,9268689,13539719,18975171,25583306,254722750,255385840,21500494,15493464,15493463,21500492,255940215,38795316,44364080,268296956,50675601,257200054,46703936,38445937,29889529,29889528,38445934,48348142,39758463,31080772,23597487,23597486,30733362,33207497,33207498,39331623,46293270,36440190,257384411,39331537,30733352,30733353,32040267,27981086,27981024,27981026,36440147,29534712,22191544,16063550,11153983,11153984,16063556,11962132,8007501,8007498,8007697,8007698,11962499,17052357,23315242,23315243,30734350,39332295,39333164,30735500,30735501,30735509,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178 Dl.O(d2) = 261717594,197132583,189426475,180513224,170372482,159031270,146663863,133416255,119553250,105324060,91107571,77193884,64054874,52214733,41884352,32949670,25230322,18661759,18661758,25230320,32949668,41884350,37448111,28908681,21634316,21634317,254312290,26935776,26935777,35017142,44393410,48429443,38521684,29956672,29956673,32949653,32949655,41884332,43417758,34316419,26437798,19698655,19698656,26437800,34316421,43417762,53944401,66014575,66014625,53944462,53944461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6470787, s2 = 16274975, dlinesl.size( ) = 2 s1 = 6470787, s2 = 16274975, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6470787, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 1314625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9685742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9373842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163532, s2 = 13649924, int(edited[s2]) = 0 s1 = 14163532, s2 = 13649924, d1 = 16, d2 = 29 Dl.O(d1) = 120128515 Dl.O(d2) = 7506453,7506454,11306239,16261838,22428866,29795042,268947019,59667021,72402581,85998915,99957574,113980256,113980262,127857983,141216903,141216898,141216899,153888804,153888805,261732447,127857980,127857981,141216902,141216903,272863747,153888806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163532, s2 = 13649924, dlinesl.size( ) = 18 s1 = 1316768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8157981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8157981, s2 = 9156459, int(edited[s2]) = 0 s1 = 8157981, s2 = 9156459, d1 = 26, d2 = 17 Dl.O(d1) = 39329183,49255985,60595971,49195424,39269445,30673258,23257364,16994391,16994392,23257365,30673260,23661243,17344332,17344333,256001543,39830170,49853520,59108452,47710355,47710356,50551851,40515415,31818694,24302437,24302438,31818696,40515419,50551858,61336354,49853518,39917324,39917323,49935258,60724367,49322311,49322312,52571582,52571581,64446561,60724365,49322309,39394258,257027793,49322297,39394246,39394247,48091787,48091788,269809243,59481290,59481291,72218435,71387798,58652454,47260596,37351111,28812548,21544685,255844013,37351114,40243918,40243919,46827874,46827875,58193911,48108060,38232868,38232867,48143226,48108058,38196505,268812423,26617090,26617091,34604822,43875326,46827877,39776979,257049513,58652451,58652450,61762824,256951476,258141088,47998864,47998863,259367713,256641943,25432585,25432584 Dl.O(d2) = 256641939,42131734,256641943,25432585,18838074,13421666,9176605,6006140,3756230,254444047,3756230,2249689,1305166,744801,744800,1305163,2249669,3754121,3758363,2251411,2251412,254151863,793479,1395227,1411866,1411868,2192299,2249961,2251274,1306374,745636,423599,423598,745632,1306370,1410961,802615,795787,451002,451003,795788,254213179,2246759,254294969,1272492,2191885,3663196,5867427,254638951,5864246,6426043,4031588,3664146,2192824,2192823,1298854,1298855,1310278,1310277,2257573,3663626,2192426,2192425,2415769,2415951,2441169,2441166,2441167,4079758,6510359,267860945,2252083,2252082,3759419,6010685,6413943,4023707,267857845,2192077,1272677,1272676,2192075,3663357,2192437,1272989,1272990,2192440,2195061,1275177,1273900,728346,455023,256414,256416,413339,726726,726717,726718,726545,455011,455010,729437,415369,415370,726293,726295,728516,728512,1274034,1303323,1272428,727309,727310,1272430,1306798,745921,745922,1306799,2251949,3759247,254204459,746167,746168,1307068,1393000,792125,790877,790878,743574,422331,238291,131608,71493,71492,131605,238287,414966,452151,452150,728839,728838,728804,728806,1274405,1303271,1270969,1270968,1272125,727070,727071,413743,233649,233650,413747,424004,424005,746136,743588,422338,422340,423993,423994,746115,1307034,2191278,1272014,1270943,792077,448507,448506,792074,1392947,2196131,1275875,794549,450204,450203,794545,1297355,2194163,1274429,728834,414933,414934,728835,1274430,2194173,2230564,2194285,2194284,1274536,728931,415027,415026,728927,794877,794876,1293516,1293517,1306666,1296132,1296133,746195,424054,412876,412875,726123,1270977,1402988,798411,452537,452538,255187,255188,423970,746093,794471,794472,745744,745747,460391,259629,144008,144010,254095553,255151,236998,130770,130769,236997,254112581,1294172,2231609,3727339,5960255,9109044,13331565,18727100,25301780,33027889,30308111,267892176,48226883,255473618,22388539,22388538,29748326,24467168,24467166,24778529,32402420,41226555,43847216,257191384,43847216,256197237,268329147,34575487,43847218,54591795,66850639,66851013,54592102,256082578,41202127,32382108,32382109,32382070,32382069,268716570,35228965,34575708,32382542,24762369,18285550,12978589,8834680,5756918,5756919,8834681,12978593,18285558,24762381,32382557,26588249,19783499,19783500,26588252,29305201,24762376,255288472,34575681,26588518,26588519,32382253,32382256,24762234,18285465,12978537,8834648,5756903,5756904,8834644,12978535,18285440,12978625,255224573,8790648,8790649,12922312,12705439,12705440,17931493,24317954,255625107,18285432,24762198,256594381,51394702,44957150,35496184,27345039,27345038,268842447,55909352,68351295,67952964,55579969,44696613,44670271,44670272,55535143,55535157,55586917,67962493,69991235,69991236,62886592,62886589,61330894,51533480,51533479,63249817,76268604,87894214,101868199,259771768,259130032,82534365,82534366,83069620,69542705,69542706,83069622,259130030,257872204,83181556,83181557,94399100,83701316,83701315,257282880,259750650,257872014,124988310,138415250,260368504,82141069,68615412,68615414,82141070,81890404,68365939,68365938,68365952,258487060,68374064,69541361,83068321,69541384,56941472,56941471,57190647,69828110,83369172,97293239,111294824,111513871,256712070,111406578,110426230,97054207,83123809,83123807,97054202,111077745,260963638,95944098,95944099,81890484,68366009,55921972,55921969,68366002,81890475,82460167,95464772,95464771,82894313,82894312,70171897,267943452,36369014,27927984,20777505,14892095,14892094,20777503,25812758,33611749,42637516,43148341,34068486,26210493,26210491,34068481,43148333,45231038,45231037,53657119,65709838,79063858,82338339,95996904,81950041,81950040,82142421,68616798,68616799,68742010,68616800,259193597,81877988,68353596,68353594,68581134,56108608,56108609,45729400,45110919,45110921,56108631,68581158,257869240,255721676,43357092,45011162,55976064,68426108,81759645,81759644,258490422,55976045,45011146,35537978,27377022,20416087,255722340,27377023,35537983,45011155,55976056,68426093,271202527,268891445,260458691,261532186,259757042,96277615,259757040,97378485,258499586,257282296,46012927,57281224,257278154,55639513,57513272,57513273,56625655,45501544,45501547,45804014,45804012,45970702,45970703,57016838,69629448,83158891,95944146,81890448,81890449,95944135,81890440,270450404,96331341,89936546,76130835,63125380,51428195,257735139,75828586,69990813,69990814,64637069,56880627,56880628,63677898,63677896,76771468,72196837,59459250,255053156,29589243,29589242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8157981, s2 = 9156459, dlinesl.size( ) = 8 s1 = 8275784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8356473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8356473, s2 = 8270996, int(edited[s2]) = 0 s1 = 8356473, s2 = 8270996, d1 = 141, d2 = 81 Dl.O(d1) = 20020404,20020405,26903134,255729044,52759595,42360027,33371055,25606278,25606280,33371061,42360040,52759620,258420283,64335440,64335441,77499791,77864771,77864772,64674678,64674679,53102483,42651334,33623105,25822135,19171648,13690554,13690552,19171643,25822126,33623091,42651304,53102431,59262611,65088863,65088862,78372099,78372106,78372104,92408868,268828242,91431006,77499872,65088805,65088804,78372046,91430983,77499834,64335476,52467819,52467820,64335478,77499837,83943417,81220811,81220812,74546517,61762732,60059058,48662318,48662320,60059061,72797678,257994716,95327618,95327617,97988314,109511288,95257117,81201096,67736378,67736377,67675825,67675826,81141689,81268318,257312882,86199825,258537362,31631531,36568007,36568008,28586957,28586956,37060126,28559218,28559217,24614858,24614857,27135109,255214846,44610487,36694720,28204366,21012250,15091385,10408474,6861084,6861085,254488906,28204372,36694732,28204409,21012277,15091399,10408486,10408485,15091397,21012273,28204400,36694763,46581102,57957481,70577051,57876245,46520773,46520772,36696995,28206343,28206342,28204391,21012265,254716280,36694753,36696939,36696940,46520871,46520885,57876360,70577186,64126002,64126004,57876447,57876449,70486293,57785804,57785805,70486295,256826664,63034262,76017145,70678397,70678398,84231586,84113510,84113511,259267557,106765949,92940070,78833573,65501912,65501913,78833575,84113632,97914153,84231579,84231580,84113519,70577295,70577296,84113489,84113488,84113635,97988455,84229662,84229660,98124984,111927766,111927816,97988474,84113658,84113660,97988477,103363474,89273737,84113549,70577313,70577312,84113544,86391548,100348611,97988361,97988360,100770809,86789883,73177334,73177335,86391551,86391552,89273734,89273735,86789876,86789878,100770805,114822940,114399535,107355044,92950297,92950296,86391564,72795743,62541664,50937600,40817743,38739122,30156581,30156580,38739117,48660461,46869853,36991155,36991156,46869857,58237570,70954668,81219791,67753356,67753355,81219787,95277394,109532281,100376608,86420865,72825868,60088557,60088556,65088202,78371404,72795724,72795723,71114707,58396726,58396727,270289983,86391753,100245231,86391680,72795820,257559751,38739151,38739149,48660515,60057260,72795873,86391764 Dl.O(d2) = 254649965,3759920,2252395,2252396,3759922,6011678,9185157,13434528,18855822,18855817,18855818,25454494,25454495,25454508,18855801,13434508,9185146,9185148,13434512,18855807,13434558,9185173,6011689,6011690,254921583,18855872,25454607,33201345,42161209,52519434,64393481,77561608,88348753,75687665,71255297,71255296,77561548,64393414,64393415,71255298,77348824,91269010,105491368 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8270997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8270997, s2 = 8356472, int(edited[s2]) = 0 s1 = 8270997, s2 = 8356472, d1 = 13, d2 = 16 Dl.O(d1) = 105747217,91527478,77596512,64427723,64427724,77596513,74701167,64427721,64427722,75687777,89451996,91527487,97758260,83901778,83901777,97758259,98719452,88328875,254921582,67552349,67552348,75697812,75697814,89462927,77561529,64393372,64393370,57636904,46292498,46292499,57636906,48029877,38116855,29552099,29552100,38116857,48029884,59422334,55208673,44358117,44358116,52519324,254649964 Dl.O(d2) = 107347384,259267556,89366778,75604873,62661841,57876374,50968491,50968492,57876487,256826665,36653914,46520982,46521051,36653959,36653958,40822482,32059611,32059609,40822481,50944994,46520780,36653735,28178105,20996397,15081895,254716281,6857427,10402742,15081902,20996404,28178080,20996372,20996373,28178083,36653806,28178138,20996416,15081911,10402751,6857435,4303575,2573055,2573056,4303577,6857439,10402761,15081846,10402711,254488907,1481470,1481469,2573042,4303557,6857402,5669130,5669129,8708151,255214847,24488184,20996312,20996313,21002704,21002705,28186013,21350750,21350751,28580217,37084723,44543834,258537363,67675496,257312883,35113695,27027219,20134711,20134710,27027217,35113690,44490482,55336225,67675529,57634837,46290235,46290236,257994717,70430660,57736486,46386725,40261297,31574328,31574327,40261296,50282124,61761592,50650728,46290258,46290257,55336409,46290250,46290251,55336242,67675552,67675608,55336300,55336241,44490490,35113699,268828243,55336239,67675550,67675913,81141368,67675455,55336169,44490452,35113675,27027209,27027210,35113679,44490459,55336182,62066348,67675556,67676014,55336692,55336693,55336455,55336457,67675769,55336504,44490672,44490674,55336507,59952306,258420282,81141713,81141714,67676051,67676050,57634856,54656862,43914085,34640603,255729045,9768782,6422787,6422786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8270997, s2 = 8356472, dlinesl.size( ) = 14 s1 = 471034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658766, s2 = 3016578, int(edited[s2]) = 0 s1 = 11658766, s2 = 3016578, d1 = 1, d2 = 7 Dl.O(d1) = 269332719,37869481,37869482,37869455,37869456,47794201,47794133,37869513,29299929,21972893,15878978,11007327,7286797,7286796,11007326,15878946,15878947,255876951,37869368,47794087,59194358,71934074,85522052,99468612,113479331,113479396,127349019,127349035,127349033,127349008,113479384,113479383,113479382,99468691,259354192,106772215,259972350,147943802,142211841,128854073,114953650,114953649,128854071,140704974,133820545,133820546,147065985 Dl.O(d2) = 261439160,140704972,153386820,165190455,162543131,162543132,160192375,160192374,157688695,145276305,132038408,132038409,132038403,118218054,104058547,89929059,76123251,76123250,89929055,104058539,118218044,123641365,137373157,150413771,162543138,165080456,165080450,153262787,153262785,152634752,139927944,126563718,259927737,98703456,112699484,105717714,91493552,86974656,86974657,99377625,99377596,85436529,85436528,99377594,257810912,91493482,91493481,91493484,77562536,77562537,73363059,60618294,60618293,73363058,73363065,73363066,259031911,86974640,73363047,73363046,64394445,52520467,42162251,33202342,33202343,42162255,47715598,59113247,49217582,49217581,59113257,61639974,63117838,51420914,41223929,32400058,32400059,41223933,51420922,63117846,59113229,269800425,49217588,39290910,30693506,23278512,17020055,17020054,255973979,30693524,39290933,49217624,49217620,39290929,39290928,49217617,60618319,73363085,60618322,49217623,39290931,39290930,47715589,37794749,37794750,39290902,42162206,47715608,256475298,29232402,37794766,47715609,59113258,49217599,39290920,30693514,23278509,17020051,11935854,7988040,7988041,11935856,17020059,23278521,30693527,37794755,29232397,21915420,21915421,29232400,256908341,59113232,52520416,42162208,42162204,42162205,257789755,50156487,40134130,31453434,31453436,39290919,33202256,33202257,37208707,256530295,31453429,33202261,39290942,30693545,23278532,17020069,11935862,7988043,7988042,11935859,17020065,23278525,30693534,25455422,25455423,33202247,25455412,18856534,13435051,13435050,18856532,268492645,42162134,257199605,52520388,42162182,33202291,25455436,18856550,18856551,25455438,33202298,42162197,52520406,64394327,52520338,42162136,33202245,33202246,42162138,52520341,258404767,91493496,270518105,64394380,259031915,102014944,91493515,91493514,105717659,260871407,146884938,133631712,119761783,105528327,91493490,91493491,105717637,119953079,133820563,133820581,133631710,119761781,105528326,105528325,119761778,133631705,146884935,159256079,146884940,133631715,119761790,119761791,119953151,119953152,119761797,119761796,118794589,104615481,90452319,76594382,63515147,51737338,51737337,63515145,76594380,79120579,65764708,53707754,53707753,65764706,79120574,93237084,91498212,91498213,105722657,119958351,116220407,116220406,130131150,133828565,119961010,119961011,119958354,105722659,105722658,104615535,90452361,90452360,104615534,118794636,105725287,91500666,91500665,105725281,119961053,133825922,119958328,119958329,132611469,132611470,122015586,259659526,79120590,65764712,65764711,259100119,107640524,93237080,79120570,79120571,93237081,107640528,119961016,133828574,260704512,130131147,133828567,147073587,159448795,149168299,135943739,261975271,133825950,133825951,133828588,122015576,107640532,105722631,105722632,118794631,118794630,132611455,133825936,119958345,119958344,132611464,132611462,145829010,145829014,145828999,132611451,122015582,107640540,93237093,79120585,79120584,93237091,107640538,260944517,261439800,145829019,145829018,133828609,260276286,133828571,119961015,119961014,133828569,147073591,159448804,158198436,145829013,145829011,158198434,147071124,147071123,135943736,135943730,122015571,122015572,133828617,147073624,159446617,147071036,147071035,133825933,133825932,147071111,159446677,159448832,261439640,118794629,271962243,145829003,135943743,135943742,149168307,161455331,172632103,182559039,180915521,170786232,159446669,262474025,179775742,169576351,158198413,145828989,145828987,158198412,158198438,158198437,169576393,170788131,170788130,180915525,170786243,170786242,170786197,159446672,159446674,170786225,170786226,159446671,159446670,170786236,180915523,189803111,187369622,178138313,178138312,178138335,178138319,167680514,156076942,143543372,143543373,260673866,143521479,130192475,126193179,126193178,118610223,118610224,132448304,127193384,258893822,85388891,85388887,85388886,85388883,71800611,71800610,85388882,99332594,113334989,99762701,85808696,258834120,104427523,90276606,76446484,63402524,51659028,51659027,63402523,63402605,63402592,268972588,62427750,50843970,50843971,60197431,48800564,38878236,38878233,48279215,38367736,38367737,48279216,59666997,72402553,85998882,86535035,92529812,92529813,99957536,99957537,100347834,86390736,72794906,60056383,60056384,72794908,86390741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658766, s2 = 3016578, dlinesl.size( ) = 2 s1 = 11658766, s2 = 3016578, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11658766, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 7968538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16284611, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13326681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163694, s2 = 7890504, int(edited[s2]) = 0 s1 = 14163694, s2 = 7890504, d1 = 1, d2 = 1 Dl.O(d1) = 25826825,33628853,30776178,23352387,23352388,23451306,17174625,12075788,12075789,11717018,11717017,16764528,22869343,22869342,29315980,30770066,30770065,38369702,29796986,29796985,25810112,23451203,17174559,17174560,23451205,30882621,39488658,49418344,59206602,59206601,58000789,254838416,28241620,21042822,15114931,15114929,21042815,28241603,36736589,46624685,58000764,70716931,84267974,98161709,112120980,259368904,271331954,140578726,127233019,260565183,99374389,85432938,71847102,59108339,47710204,37789189,29227245,21911202,15829201,10969599,7260902,7260901,10969597,15829199,21911199,29227241,37789184,47710179,37789151,29227222,21911189,15829194,15829195,21911190,29227224,37789155,37789162,29227228,29227227,37789161,29227250,21911204,15829202,10969599,7260902,7260901,10969597,15829199,21911199,29227241,37789185,47710201,47710210,47710211,55398894,257539480,46579423,57955946,70573508,57874988,46519497,36652472,36652471,46519495,50681247,40623811,40623810,50681245,257406940,46519488,36652466,255374462,255800323,257405817,257406939,70674859,62648355,62648356,75590854,85357297,73195494,60449091,60449090,73195492,86807655,95339148,89352176,75590850,269504746,51022402,62648353,62648343,62648342,75590844,77587966,89352170,75590843,67813676,67813675,72181962,73195501,60449100,49045368,39115752,39115753,49045371,60449102,73195503,86807667,77587907,64419159,257783198,42186188,33225991,256645915,25477758,18876034,13451233,9198818,9198819,13451235,15760665,13451238,13451239,18876030,13451230,13451231,18876032,25477757,29601775,22252085,269366068,29135629,255429103,10915134,7218798,7218797,10915132,15760661,21828523,29135623,25477746,25477747,33226010,42186219,52545015,269056032,52545004,64419197,256606828,71419010,58685601,58685600,52544980,52544979,64419169,58685560,47294742,37385548,28845471,28845472,37385550,47294745,268387280,58683755,52912761,52912760,47619653,37696346,33504662,25726436,19095005,267863420,33504664,42503367,50410233,40375757,31682434,31682433,40375755,40375760,31682438,31682439,40375762,40375763,50410240,52760497,42360815,268036938,31682441,24174279,17806453,12605395,8554547,8554546,12605393,17806448,24174272,24174277,31682432,40375753,40885568,40885521,32112241,32112242,257126695,62648513,61900661,61900662,51022502,256463582,75590979,78432241,65150235,53165890,42716239,33686202,25879782,25879781,33686198,269100355,84661615,89352240,258323383,51022470,40885459,40885458,257711643,59954735,48562555,48562557,257093360,62742758,51111457,51111456,62742755,75690111,75690166,62742833,51111545,51111546,62742834,61687308,51111565,51111564,62742852,268767908,42716233,53165880,65150216,78432211,75690044,62742679,51111373,51111374,40969053,32189388,32189390,40969056,51111386,61880781,62742722,61635567,50153234,50153235,61635571,61635580,62648680,62648681,75591130,89352384,89324104,84661611,75690116,62742760,51111461,51111460,51111428,51111426,62742731,52250635,52250636,62742848,51111557,40969222,32189510,32189509,40969219,51111551,62742828,58499230,47120658,37222935,28697221,28697222,37222942,47120661,58499232,62742698,62742797,51111498,51111497,62742684,51111377,51111379,40969118,40969119,32972996,32972999,41912827,50153241,40131713,40131712,40131726,40131724,50153251,53332213,53332212,51111467,40969133,32189443,32189425,32189426,40969105,32973006,32973005,41912833,43881838,41912845,41912846,51111576,40969234,32189517,24601711,24601710,32189514,40969228,51111562,51111407,51111408,62742707,61635494,61635491,74415322,62742815,51111520,40969182,40969185,51111511,62742809,61635476,50153140,40131669,31451576,23958542,23958543,31451582,35132965,41912801,32972976,25250390,18679593,18679592,25250386,32972972,40131651,31451561,23958535,17610829,17610830,17610821,12430710,12430711,17610824,23958531,24522715,18091488,12826481,8720770,8720771,9680907,255306443,26372321,29664968,22312886,16167191,11234655,11234656,16167194,17373442,16621560,16621559,12036872,8092264,5184516,3163027,1851581,1056668,594111,331183,331184,594114,1056676,1851598,3163054,5184551,8092305,7452311,4708521,3404028,3404027,3404026,4711314,4711315,7456267,5568762,3452634,3452635,5501891,5501892,5517212,3404029,2007541,2007542,3404030,5517215,5564124,5564123,8485615,8485616,12523690,12545113,12536740,12536742,12681069,11127810,11127811,254610227,3418012,2018034,2018033,3418011,5509197,3397730,254189569,642358,356520,195344,195348,356496,642265,1144975,2002994,254412575,254275559,1138599,1138600,1169444,656309,363857,363856,656302,1154484,647690,647691,359707,359708,196976,196978,359723,648385,1155651,1996537,3381012,3409849,2012925,2012924,3411120,2039543,1168792,1168789,2039537,254613343,5560045,8562941,12614873,17817422,24186051,31694414,40387523,50421693,61911942,74705377,88333000,102328880,116421401,261318251,156121973,167725766,178181137,187406972,195434883,202300830,208073099,212832575,216723798,219949080,222670516,222670517,225006867,227035913,228806008,230365575,266151467,232996734,234123428 Dl.O(d2) = 25826825,33628853,30776178,23352387,23352388,23451306,17174625,12075788,12075789,11717018,11717017,16764528,22869343,22869342,29315980,30770066,30770065,38369702,29796986,29796985,25810112,23451203,17174559,17174560,23451205,30882621,39488658,49418344,59206602,59206601,58000789,254838416,28241620,21042822,15114931,15114929,21042815,28241603,36736589,46624685,58000764,70716931,84267974,98161709,112120980,259368904,271331954,140578726,127233019,260565183,99374389,85432938,71847102,59108339,47710204,37789189,29227245,21911202,15829201,10969599,7260902,7260901,10969597,15829199,21911199,29227241,37789184,47710179,37789151,29227222,21911189,15829194,15829195,21911190,29227224,37789155,37789162,29227228,29227227,37789161,29227250,21911204,15829202,10969599,7260902,7260901,10969597,15829199,21911199,29227241,37789185,47710201,47710210,47710211,55398894,257539480,46579423,57955946,70573508,57874988,46519497,36652472,36652471,46519495,50681247,40623811,40623810,50681245,257406940,46519488,36652466,255374462,255800323,257405817,257406939,70674859,62648355,62648356,75590854,85357297,73195494,60449091,60449090,73195492,86807655,95339148,89352176,75590850,269504746,51022402,62648353,62648343,62648342,75590844,77587966,89352170,75590843,67813676,67813675,72181962,73195501,60449100,49045368,39115752,39115753,49045371,60449102,73195503,86807667,77587907,64419159,257783198,42186188,33225991,256645915,25477758,18876034,13451233,9198818,9198819,13451235,15760665,13451238,13451239,18876030,13451230,13451231,18876032,25477757,29601775,22252085,269366068,29135629,255429103,10915134,7218798,7218797,10915132,15760661,21828523,29135623,25477746,25477747,33226010,42186219,52545015,269056032,52545004,64419197,256606828,71419010,58685601,58685600,52544980,52544979,64419169,58685560,47294742,37385548,28845471,28845472,37385550,47294745,268387280,58683755,52912761,52912760,47619653,37696346,33504662,25726436,19095005,267863420,33504664,42503367,50410233,40375757,31682434,31682433,40375755,40375760,31682438,31682439,40375762,40375763,50410240,52760497,42360815,268036938,31682441,24174279,17806453,12605395,8554547,8554546,12605393,17806448,24174272,24174277,31682432,40375753,40885568,40885521,32112241,32112242,257126695,62648513,61900661,61900662,51022502,256463582,75590979,78432241,65150235,53165890,42716239,33686202,25879782,25879781,33686198,269100355,84661615,89352240,258323383,51022470,40885459,40885458,257711643,59954735,48562555,48562557,257093360,62742758,51111457,51111456,62742755,75690111,75690166,62742833,51111545,51111546,62742834,61687308,51111565,51111564,62742852,268767908,42716233,53165880,65150216,78432211,75690044,62742679,51111373,51111374,40969053,32189388,32189390,40969056,51111386,61880781,62742722,61635567,50153234,50153235,61635571,61635580,62648680,62648681,75591130,89352384,89324104,84661611,75690116,62742760,51111461,51111460,51111428,51111426,62742731,52250635,52250636,62742848,51111557,40969222,32189510,32189509,40969219,51111551,62742828,58499230,47120658,37222935,28697221,28697222,37222942,47120661,58499232,62742698,62742797,51111498,51111497,62742684,51111377,51111379,40969118,40969119,32972996,32972999,41912827,50153241,40131713,40131712,40131726,40131724,50153251,53332213,53332212,51111467,40969133,32189443,32189425,32189426,40969105,32973006,32973005,41912833,43881838,41912845,41912846,51111576,40969234,32189517,24601711,24601710,32189514,40969228,51111562,51111407,51111408,62742707,61635494,61635491,74415322,62742815,51111520,40969182,40969185,51111511,62742809,61635476,50153140,40131669,31451576,23958542,23958543,31451582,35132965,41912801,32972976,25250390,18679593,18679592,25250386,32972972,40131651,31451561,23958535,17610829,17610830,17610821,12430710,12430711,17610824,23958531,24522715,18091488,12826481,8720770,8720771,9680907,255306443,26372321,29664968,22312886,16167191,11234655,11234656,16167194,17373442,16621560,16621559,12036872,8092264,5184516,3163027,1851581,1056668,594111,331183,331184,594114,1056676,1851598,3163054,5184551,8092305,7452311,4708521,3404028,3404027,3404026,4711314,4711315,7456267,5568762,3452634,3452635,5501891,5501892,5517212,3404029,2007541,2007542,3404030,5517215,5564124,5564123,8485615,8485616,12523690,12545113,12536740,12536742,12681069,11127810,11127811,254610227,3418012,2018034,2018033,3418011,5509197,3397730,254189569,642358,356520,195344,195348,356496,642265,1144975,2002994,254412575,254275559,1138599,1138600,1169444,656309,363857,363856,656302,1154484,647690,647691,359707,359708,196976,196978,359723,648385,1155651,1996537,3381012,3409849,2012925,2012924,3411120,2039543,1168792,1168789,2039537,254613343,5560045,8562941,12614873,17817422,24186051,31694414,40387523,50421693,61911942,74705377,88333000,102328880,116421401,261318251,156121973,167725766,178181137,187406972,195434883,202300830,208073099,212832575,216723798,219949080,222670516,222670517,225006867,227035913,228806008,230365575,266151467,232996734,234123428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163694, s2 = 7890504, dlinesl.size( ) = 2 s1 = 14163694, s2 = 7890504, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163694, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 15054606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054606, s2 = 1664447, int(edited[s2]) = 0 s1 = 15054606, s2 = 1664447, d1 = 10, d2 = 10 Dl.O(d1) = 21141554,21141600,28356051,28358208,28358209,36853239,36853240,46735364,46735282,46735280,36853777,36853776,46735911,46735412,46735411,36853757,36540398,36540397,46401511,57752470,58106567,50515584,46736572,36854499,36854407,28356644,28356645,36853850,46735995,46737138,58107083,58106651,46737060,36854975,28357121,28357119,36854969,46737056,58106268,58106267,58106262,46737006,46737007,46736991,36854878,36853561,28355957,28355958,255810804,36853706,36853245,28355669,21141301,15189938,15189937,21141298,28355666,36853237,46735376,46735419,36853259,36853258,46735416,46401503,46401504,57752462,58107549,49752809,49752810,46735475,36853325,28355751,21141375,21141376,28355754,36853331,46735486,58106393,59755922,58106496,46735622,40895421,32121310,32121308,40895415,51033132,60783998,49383455,39455633,30851737,30851738,39455637,46735641,36853548,36853545,46735633,58106512,58106532,58106320,46735399,46735397,46735369,36853228,36853230,36540108,28072805,28072803,36540102,36853252,36853253,46735406,46736271,57752450,58107984,49752816,39734144,31056011,31056010,39734142,46735470,58106376,58106387,46735482,46735481,58106383,70822581,70428852,58106491,46735618,46735617,46401250,36853298,36853299,39734131,39734130,39796897,39796904,31116394,31116395,39796907,49039584,49039585,49039612,49039613,60443453,60230158,60230157,70822545,60443455,58106340,57752189,46401183,36540124,28072810,28072808,36540118,46401176,57752178,49039178,49039176,58105648,49752827,39734151,31056013,23572444,23572445,31056018,39734158,49752835,61231889,71882436,59144358,59144357,49752781,49752782,61231852,61495316,70447701,57752247,57752246,57752128,46401130,36540086,28072796,28072798,36540093,46401136,46384759,46384760,48835522,38914739,30327988,30327990,38914744,48835532,58107798,58106347,46735436,46735435,57752162,46401162,36540110,36540113,46401169,57752172,59314230,59144261,47745641,37823671,37823670,31056031,23572454,17261128,17261127,23572449,31056026,39734168,49752852,61231900,71882431,61231856,49752785,49752784,49752798,50017295,61495321,57863325,57863324,60443060,70447642,57752133,57734621,46384746,36524989,28059420,20889321,20889325,28059432,36525007,46384319,46384318,57734275,57734558,57734557,47745832,47745833,47745853,47745854,59144441,59314216,47921005,38005656,38005657,47921007,49228295,39301321,30703768,30703767,39301317,39734207,31056054,31056053,39734204,49228344,60629447,70428586,57734177,57734178,46384250,36524663,36524664,40475640,50510778,46384331,36524863,36524864,46384574,46384570,36524854,28059333,20889272,20889268,20889265,20889390,20889392,28059269,36524636,46384294,36524932,28059386,28059385,36524926,36524964,28059407,20889315,20889317,28059413,36524977,46384725,46384886,37146656,37146655,30703774,30703773,30328006,30328005,38914771,46384374,46384874,46384872,57734668,46384811,36525038,28059444,20889332,20889334,28059453,36525046,36525017,36525018,28158500,28158501,36632945,46499884,36950204,36950203,36524832,28059314,20889260,14985850,14985849,20889256,28059309,28059210,28059209,36524676,46384344,46384467,49228541,49228539,57734578,46384702,46384701,40328840,31773180,31773179,40467933,50344647,47035577,47035576,49228300,48835560,38914762,38914763,41934564,43327794,34229523,34229525,34229551,39845024,41934523,32993776,25269640,18697770,18697769,25269635,32993763,32993827,39301345,30703791,23287897,23287894,30703782,31576035,36524718,28059233,20889200,14985809,14985808,14985892,14985891,14985898,14985897,20889354,28059484,36525084,46384851,255388448,49797311,39777473,31099241,23615622,23615621,29191823,21880016,15804540,10951496,7247992,7247990,10951492,15804532,21880006,21880149,15804632,15804633,21880151,29191979,254753416,37737360,29193716,23551468,17243351,12126069,8157818,5228616,3190423,3190425,5228619,8157824,254514852,23551487,23485359,17201642,12096431,254343954,254162946,7248916,7248917,5140325,5140327,254343956,3120058,5132241,8041863,11989989,8047179,5137175,3123802,3123803,267902677,11995347,8156434,5226518,3188339,3129766,1829656,1829657,3129771,5121379,3111426,1818189,1038102,1038101,1818184,3111420,5112819,4678640,4678641,7405654,8064796,11165315,11165318,11996625,12015072,17066299,11975820,8056299,8031406,5120715,5120716,7521282,4755394,2866055,1663440,946405,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1817089,1817087,1828130,3127223,5141265,8050592,8020385,5109095,4994344,4994343,7867872,8027012,8027013,11979175,8033258,8033257,11978138,8025441,5114561,3106307,3106308,5114564,255531285,17065450,256480233,30098511,22716610,255356192,7654784,7654785,254320636,16491696,16491697,11549480,7683932,4861912,4861913,5828274,4902784,2954981,2954982,4902790,7742612,11624327,11624286,7742584,7735481,7735483,11430893,11430894,7691962,7691964,11553237,11550006,7691286,4867148,4867147,7691282,5575175,5575174,8580869,12638392,11552359,7686435,4863634,4863633,7686427,11552351,7744740,7744739,9143799,11545495,11545493,10713779,7077997,4456099,4456097,4906198,2957077,1714663,1714662,2957075,2955455,1713730,1713731,254366801,2952109,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,4869283,7694311,11561538,16417117,255626493,16659038,11626551,7744713,7744714,7604222,4810732,2899357,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,2452099,1417649,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,799346,1404557,1404555,1685431,1685432,2905550,4821578,7620519,11456722,16443060,22629480,29998626,38569499,40034269,32454444,24818019,18327423,13451554,9199054,6022832,6022833,9199059,13451560,18876488,25478304,33226685,42186893,269504769 Dl.O(d2) = 21141554,21141600,28356051,28358208,28358209,36853239,36853240,46735364,46735282,46735280,36853777,36853776,46735911,46735412,46735411,36853757,36540398,36540397,46401511,57752470,58106567,50515584,46736572,36854499,36854407,28356644,28356645,36853850,46735995,46737138,58107083,58106651,46737060,36854975,28357121,28357119,36854969,46737056,58106268,58106267,58106262,46737006,46737007,46736991,36854878,36853561,28355957,28355958,255810804,36853706,36853245,28355669,21141301,15189938,15189937,21141298,28355666,36853237,46735376,46735419,36853259,36853258,46735416,46401503,46401504,57752462,58107549,49752809,49752810,46735475,36853325,28355751,21141375,21141376,28355754,36853331,46735486,58106393,59755922,58106496,46735622,40895421,32121310,32121308,40895415,51033132,60783998,49383455,39455633,30851737,30851738,39455637,46735641,36853548,36853545,46735633,58106512,58106532,58106320,46735399,46735397,46735369,36853228,36853230,36540108,28072805,28072803,36540102,36853252,36853253,46735406,46736271,57752450,58107984,49752816,39734144,31056011,31056010,39734142,46735470,58106376,58106387,46735482,46735481,58106383,70822581,70428852,58106491,46735618,46735617,46401250,36853298,36853299,39734131,39734130,39796897,39796904,31116394,31116395,39796907,49039584,49039585,49039612,49039613,60443453,60230158,60230157,70822545,60443455,58106340,57752189,46401183,36540124,28072810,28072808,36540118,46401176,57752178,49039178,49039176,58105648,49752827,39734151,31056013,23572444,23572445,31056018,39734158,49752835,61231889,71882436,59144358,59144357,49752781,49752782,61231852,61495316,70447701,57752247,57752246,57752128,46401130,36540086,28072796,28072798,36540093,46401136,46384759,46384760,48835522,38914739,30327988,30327990,38914744,48835532,58107798,58106347,46735436,46735435,57752162,46401162,36540110,36540113,46401169,57752172,59314230,59144261,47745641,37823671,37823670,31056031,23572454,17261128,17261127,23572449,31056026,39734168,49752852,61231900,71882431,61231856,49752785,49752784,49752798,50017295,61495321,57863325,57863324,60443060,70447642,57752133,57734621,46384746,36524989,28059420,20889321,20889325,28059432,36525007,46384319,46384318,57734275,57734558,57734557,47745832,47745833,47745853,47745854,59144441,59314216,47921005,38005656,38005657,47921007,49228295,39301321,30703768,30703767,39301317,39734207,31056054,31056053,39734204,49228344,60629447,70428586,57734177,57734178,46384250,36524663,36524664,40475640,50510778,46384331,36524863,36524864,46384574,46384570,36524854,28059333,20889272,20889268,20889265,20889390,20889392,28059269,36524636,46384294,36524932,28059386,28059385,36524926,36524964,28059407,20889315,20889317,28059413,36524977,46384725,46384886,37146656,37146655,30703774,30703773,30328006,30328005,38914771,46384374,46384874,46384872,57734668,46384811,36525038,28059444,20889332,20889334,28059453,36525046,36525017,36525018,28158500,28158501,36632945,46499884,36950204,36950203,36524832,28059314,20889260,14985850,14985849,20889256,28059309,28059210,28059209,36524676,46384344,46384467,49228541,49228539,57734578,46384702,46384701,40328840,31773180,31773179,40467933,50344647,47035577,47035576,49228300,48835560,38914762,38914763,41934564,43327794,34229523,34229525,34229551,39845024,41934523,32993776,25269640,18697770,18697769,25269635,32993763,32993827,39301345,30703791,23287897,23287894,30703782,31576035,36524718,28059233,20889200,14985809,14985808,14985892,14985891,14985898,14985897,20889354,28059484,36525084,46384851,255388448,49797311,39777473,31099241,23615622,23615621,29191823,21880016,15804540,10951496,7247992,7247990,10951492,15804532,21880006,21880149,15804632,15804633,21880151,29191979,254753416,37737360,29193716,23551468,17243351,12126069,8157818,5228616,3190423,3190425,5228619,8157824,254514852,23551487,23485359,17201642,12096431,254343954,254162946,7248916,7248917,5140325,5140327,254343956,3120058,5132241,8041863,11989989,8047179,5137175,3123802,3123803,267902677,11995347,8156434,5226518,3188339,3129766,1829656,1829657,3129771,5121379,3111426,1818189,1038102,1038101,1818184,3111420,5112819,4678640,4678641,7405654,8064796,11165315,11165318,11996625,12015072,17066299,11975820,8056299,8031406,5120715,5120716,7521282,4755394,2866055,1663440,946405,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1817089,1817087,1828130,3127223,5141265,8050592,8020385,5109095,4994344,4994343,7867872,8027012,8027013,11979175,8033258,8033257,11978138,8025441,5114561,3106307,3106308,5114564,255531285,17065450,256480233,30098511,22716610,255356192,7654784,7654785,254320636,16491696,16491697,11549480,7683932,4861912,4861913,5828274,4902784,2954981,2954982,4902790,7742612,11624327,11624286,7742584,7735481,7735483,11430893,11430894,7691962,7691964,11553237,11550006,7691286,4867148,4867147,7691282,5575175,5575174,8580869,12638392,11552359,7686435,4863634,4863633,7686427,11552351,7744740,7744739,9143799,11545495,11545493,10713779,7077997,4456099,4456097,4906198,2957077,1714663,1714662,2957075,2955455,1713730,1713731,254366801,2952109,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,4869283,7694311,11561538,16417117,255626493,16659038,11626551,7744713,7744714,7604222,4810732,2899357,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,2452099,1417649,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,799346,1404557,1404555,1685431,1685432,2905550,4821578,7620519,11456722,16443060,22629480,29998626,38569499,40034269,32454444,24818019,18327423,13451554,9199054,6022832,6022833,9199059,13451560,18876488,25478304,33226685,42186893,269504769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054606, s2 = 1664447, dlinesl.size( ) = 2 s1 = 15054606, s2 = 1664447, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 15054606, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 10346385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346385, s2 = 2081020, int(edited[s2]) = 0 s1 = 10346385, s2 = 2081020, d1 = 83, d2 = 35 Dl.O(d1) = 41629664,257201752,8959539,5848064,3649507,3649509,5848075,8959562,8495520,5496772,3386602,1994847,1994844,3386592,5496746,8495486,9742333,6406146,6406150,4019094,4019096,6406194,9742412,14171328,12225291,12225293,16209385,11267814,7479882,6023876,3768587,2258005,2258004,3768581,6023868,9200664,13453910,16053518,19859893,16527832,16527835,22733623,18591100,13211260,13211259,18591094,25073156,18591024,13211211,9005567,5878718,3670141,2196786,2196788,3670156,5878755,9005638,13211350,9925518,6523323,6523324,9925525,14429288,19784608,25488942,25488941,24245146,18879683,13454085,13454002,9200729,6023900,6023898,9200723,9200763,9326613,6109367,6109366,9326606,8974355,5858607,3657192,3657194,5858617,8974371,11146679,16053523,22179649,28396773,28396774,36894247,37318496,37318497,46798044,36920160,28422100,21199306,21199307,28422102,31437462,23946232,23055336,16808871,11754118,7848095,7848093,7848113,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,1310817,1310818,2258422,3769391,6024987,254555892,18883838,25487116 Dl.O(d2) = 55251448,257029276 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9155122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1008656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1008656, s2 = 1915953, int(edited[s2]) = 0 s1 = 1008656, s2 = 1915953, d1 = 4, d2 = 13 Dl.O(d1) = 25507886 Dl.O(d2) = 49397158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1008656, s2 = 1915953, dlinesl.size( ) = 2 s1 = 1008656, s2 = 1915953, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1008656, Dl.E( ) = 40, 1.79e-05 seconds used appending s1 = 10169709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10169709, s2 = 10193649, int(edited[s2]) = 0 s1 = 10169709, s2 = 10193649, d1 = 11, d2 = 17 Dl.O(d1) = 256111672,36944200,28444633,23647171,17330338,268251697,21884874,17041467,17041465,17041466,15050387,15050386,20959619,17853241,17334427,14216809,14216808,12208518,12208517,12333972,12333971,16212470,11269977,8241100,8241101,12210211,10617910,7007044,6604324,4137149,4137150,6604328,10050488,7480977,4727779,4727780,7480982,11269545,15028043,11269421,7480895,4727720,4727719,7480889,11269411,13545180,9272900,6811486,5727116,5727115,8792454,256077529,41112357,51292808,62969017,75950584,89730258,103836372,117984224,131814499,145076052,142053826,128694537 Dl.O(d2) = 261785396,165107596,165107595,175832336,185337292,185337294,193629379,193629382,193629384,185337296,175832340,165107601,165107600,171536071,160332018,148087675,148087674,148087676,148087677,134964373,121154261,260915597,106886168,92566624,78519919,78519918,269530967,42791106,53242260,65230715,78519920,92566626,106886172,121154267,106886179,106886178,106886176,106886177,121154272,134964384,134964385,148087687,160332029,165107598,165107597,272238282,153293996,140613878,258824122,99408243,85467457,85467458,99408244,113409339,259448348,153293998,160332023,148087681,134964377,121154262,106886170,106886169,260915597,106886168,92566624,78519919,78519918,269530967,33760228,33760229,42791109,53242268,65230726,59877139,59877140,53242253,42791099,33760223,33760224,42791101,33760227,33760226,42791104,53242257,65230709,53242263,53242264,65230720,59877178,59877158,255635640,48485630,257547179,59877137,59877138,72615448,86213886,100177667,90532853,90532854,104699732,92566632,78519926,78519925,86213881,86213880,76669920,257750558,53242259,53242258,65230712,78519917,72615450,72615451,78519923,72615441,59877130,48485623,48485624,53242254,53242255,65230706,72615456,86213891,86213919,86213883,72615445,59877132,59877133,59877036,59877035,72615372,72615493,86213833,86213834,86213877,100177665,114210086,128098755,114210098,114210099,128098765,121154275,260022755,86213931,72615507,59877192,59877047,59877048,72615387,86213840,90532875,76669977,63583788,63583787,72615369,59877030,49985469,49985470,61463147,258878031,101820642,100177630,86213819,86213820,257657988,269821719,86213926,86213828,86213830,86213826,72615364,59877024,59877023,72615360,72615348,59876997,48485478,48485479,59876999,59877026,72615366,72615381,86213814,72615378,59877039,48485523,48485522,48485533,48485532,48485528,38572321,38572320,38572319,30001717,30001716,22632292,22632291,30001889,38572481,44397190,44397189,48485512,38572308,30001709,30001710,38572310,48485514,48485519,48485518,59877034,65318386,53318705,42855842,268290478,19325814,19325813,25997585,256108218,30001721,38572326,38572328,38572329,257547165,48485492,38572293,30001702,30001703,38572297,48485497,59877006,48485484,38572281,30001673,30001675,22632128,16444900,16444902,22632130,30001715,38572317,38572469,38572468,33814455,33814456,38572303,30001705,30001704,38572301,38572484,30001892,22632293,16445040,16445039,22632167,30001690,30001691,30001751,22632160,16444927,16444928,255925639,38572355,30001877,22632273,22632116,268090851,4821887,2905703,2905705,4821888,7621109,11457806,16444898,16445004,22632251,22632264,22632265,30001866,23809745,17476184,12321384,8322512,5370227,3301356,1941678,1941680,3301360,5370230,8322516,7621129,4821900,2905709,2905711,4821904,7621132,7621162,7621163,11457889,16444998,22632247,22632276,16445029,11457928,7621191,4821938,2905729,2905730,4821941,254788341,16445042,22632106,16444891,16444890,255484761,11457904,7621173,4821923,2905724,2905725,4821925,5370225,5370224,8322508,12321377,11457936,7621201,267832079,2905733,254540461,11457952,16445060,22632229,255925643,22632198,22632213,16444965,254788333,4821912,4821913,7621150,11457867,11457857,11457858,16444953,22632197,22632210,16444963,16444964,22632212,16445050,11457945,11457946,16445052,22632304,30001901,268953635,32171000,24585126,24585127,32171004,38572408,38572407,32906821,32906822,37039814,46917637,58283221,48485609,38572417,38572416,48485606,48485575,48485571,38572373,38572372,48485569,59877081,48485583,38572393,30001798,30001797,38572390,48485581,59877089,61840332,58283205,48485679,48485680,58461113,59877092,49029439,257092011,40328955,50356176,49121726,39194092,30597012,26620233,19810515,19810514,26620231,24817501,18327023,18327022,24817498,24817505,32453903,41295125,33223088,25475165,18873885,18873886,25475167,33223093,42183071,39194127,255665874,23177952,23177953,30597010,30597022,39194106,49121735,268241528,41295084,33223551,33223552,255665896,39194069,41295106,41295070,33223162,25475216,25475217,33223166,42183127,41295112,32453893,24817495,18327021,268015261,8857071,13009467,18327027,24817510,32453911,33223558,254204804,64416869,254445222,40558903,31857323,31857322,40558900,50599897,48585373,48585374,52541909,52541905,52541906,255262884,37401878,33223573,25475529,25475528,33223569,31857313,31857310,25474647,25474648,33222453,42182402,52541365,52541377,42182418,33222471,33222472,42182420,33223094,33223096,42183075,52541933,63108037,58295581,46929837,46929836,47710451,40558910,31857328,24770068,24770069,32392538,32392554,24770083,18291282,12982901,8837890,8837889,12982899,18291279,24770079,32392546,33222438,31857273,24335234,24335233,31857268,29227467,21911380,21911381,24770108,31857249,24335211,24335212,31857252,39023866,40550724,254445228,18873480,18873476,13449003,9196960,9196959,13449005,18873479,255665862,254922818,25474636,25474635,24335301,17945585,12716225,12716226,17945586,24335304,254922822,24335246,17945541,12716195,8640131,8640129,12716191,17945533,24335224,31857260,40558854,31857365,24335322,17945605,17945607,24335325,31857367,32392588,41215431,47746318,37824291,29259210,268218119,15850311,21938280,28985505,21702472,15661773,10841973,10841972,15661771,12321098,8322307,8322308,12321099,17475826,23243711,18018827,12770897,8680526,5648395,5648394,8680522,8322276,5370051,254269699,1109107,1109108,1941626,3301258,5370065,8322296,8680517,5648391,5648392,8680518,12770892,18018817,17475707,17475706,23809110,31294888,29259214,21938284,15850315,10984984,7271302,7271301,10984980,15850307,21938274,29259203,37824285,47746315,256467660,85467458,99408245,113409339,127267897,121154263,106886170,92566625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10169709, s2 = 10193649, dlinesl.size( ) = 2 s1 = 10169709, s2 = 10193649, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10169709, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8107404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1322521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1322521, s2 = 13227031, int(edited[s2]) = 0 s1 = 1322521, s2 = 13227031, d1 = 8, d2 = 11 Dl.O(d1) = 33283502 Dl.O(d2) = 18913990,13483220,9224503,9224502,10827119,7156335,4507003,2708334,2708330,2708585,2708586,2263120,2263124,2263120,2263124,2263114,2263118,2263226,2263230,3778425,6033824,5746397,5746399,8819931,267940410,12879947,18162198,24610927,32199342,40979326,51121491,62752632,75699613,270972205,259651554,103562846,102664150,88655965,75008158,62188648,50671777,40615650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1322521, s2 = 13227031, dlinesl.size( ) = 2 s1 = 1322521, s2 = 13227031, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1322521, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 1542195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6623571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6623571, s2 = 10863715, int(edited[s2]) = 0 s1 = 6623571, s2 = 10863715, d1 = 47, d2 = 85 Dl.O(d1) = 256649813 Dl.O(d2) = 165395437,176076951,185540755,176330774,176330773,185775519,194013763,201073402,194013758,185775510,176330813,165662217,165662215,176330811,176330802,165662204,165662205,176330787,176330785,165662188,165662187,165662202,153885392,262246727,176330759,165662172,261732125,141213120,141213130,153885382,165662187,165662202,153885392,262246727,176330759,176330758,176330805,176330806,176330754,176330753,185775507,185775521,185775510,176330813,176330814,176330761,176330760,185775514,194013755,263553523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6623571, s2 = 10863715, dlinesl.size( ) = 14 s1 = 7817185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7817185, s2 = 11391736, int(edited[s2]) = 0 s1 = 7817185, s2 = 11391736, d1 = 5, d2 = 16 Dl.O(d1) = 12752595,17991997,18901358,24928411,18417341,13081401,8913953,5816968,4340978,4340979,6911950,10483756,11062305,7334926,4633366,2791155,2791153,4633352,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,1619937,921292,921290,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,1621283,1621284,2258516,2258519,2791285,2791283,4633639,4633563,2791245,1619252,920975,519297,519295,920965,1619233,2791202,4633476,7335133,10257859,6740685,5505955,3394691,2000866,2000867,3394695,2794731,1621127,1621130,2791899,1619584,921212,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635629,7338800,11067999,15944164,22047244,22068965,29389024,22058366,18555110,13184484,13184485,18555113,18307168,12995261,255626823,268630695,22062481,15958043,15958042,255883785,35222339,27128693,20223663,14512048,9985744,6563203,6563199,6563197,9985737,14512040,13156707,11789292,11789291,16856377,23115557,30534062,37935213,268398413,22059339,29390026,37955248,47866375,256721250,22053484,22053487,22051494,268178632,25540556,18928083,15936175,15936176,22038428,15941322,11061929,11061931,15941328,22044216,29374990,25541185,25541186,22071718,22071719,22063229 Dl.O(d2) = 262558980,183047061,173194863,162094143,149881692,259759970,108643034,259131224,136739962,136739960,136739961,149881689,162094139,149881690,149881691,162094142,171395443,160176829,261473915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7817185, s2 = 11391736, dlinesl.size( ) = 2 s1 = 7817185, s2 = 11391736, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7817185, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 7979342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7929405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1010796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655808, s2 = 7925988, int(edited[s2]) = 0 s1 = 11655808, s2 = 7925988, d1 = 6, d2 = 9 Dl.O(d1) = 180976092,170856005,159527500,147168154,133945817,120103986,105892436,91685303,77758190,64575564,52675442 Dl.O(d2) = 27117861,20215176,15283414,10549072,10549071,6959821,4372838,2619593,1512302,857435,857436,1512309,2619609,4372883,6841296,4292683,4292682,6841293,4376158,2621249,2621246,4376141,4377496,2621917,2621919,4377500,4368058,4368057,4368086,4368084,4376013,3797302,3797303,6069170,4370304,4370303,6067921,6067923,4526549,4526548,6957062,4371146,2618699,2618695,4371133,4370819,2618521,1511798,1511801,2616479,2616480,4366716,6949247,10531093,6945228,4364533,2615423,2615427,4364552,6945273,10531165,8381142,8381141,12401432,12271345,12271344,17412467,21237166,21237165,17156106,12059525,8359411,5395635,5395634,6985979,10590164,13525052,18960983,15294465,10558967,6964093,4375226,4375225,6964086,5398301,3319374,3319373,5398294,8363770,12377128,9255718,9255719,10573589,10573590,9235744,9235707,9235706,13499306,18934882,25547569,255407964,25547567,25547566,255407962,33309119,25547567,18934881,18934882,25547569,33309120,42289180,42289178,52675439,52675441,64575562,77758189,91685301,105705194,91480729,77549634,257788603,42150509,33191908,25446739,18849586,13429983,9182116,6009796,6009795,9182114,13429979,13429977,13429976,18849576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655808, s2 = 7925988, dlinesl.size( ) = 10 s1 = 162053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1324219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1324219, s2 = 11075132, int(edited[s2]) = 0 s1 = 1324219, s2 = 11075132, d1 = 17, d2 = 71 Dl.O(d1) = 33315250 Dl.O(d2) = 180982948,263232762,257864956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1324219, s2 = 11075132, dlinesl.size( ) = 20 s1 = 13586359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13586359, s2 = 7594368, int(edited[s2]) = 0 s1 = 13586359, s2 = 7594368, d1 = 7, d2 = 16 Dl.O(d1) = 73541220 Dl.O(d2) = 25556270,268749617,64586296,77769229,259669177,120115931,261447089,159538439,170865949,180985418,189863711,197519456,264363549,213940160,217603560,220660736,223261069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13586359, s2 = 7594368, dlinesl.size( ) = 2 s1 = 13586359, s2 = 7594368, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13586359, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 9115004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6611786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6611786, s2 = 14963506, int(edited[s2]) = 0 s1 = 6611786, s2 = 14963506, d1 = 47, d2 = 49 Dl.O(d1) = 256527400,256653357 Dl.O(d2) = 42667196,37863325,255876605,15873075,15873076,14587935,14587936,20299666,14567399,10024003,254475983,2710058,1569982,1569983,1570001,927741,927742,1631517,2812448,4127948,2469496,2469498,4128272,4483508,4127969,2469325,2469323,4127964,6588838,10025068,14568719,17658351,12487125,8457731,5464892,3360495,1975687,1975685,3360484,5464864,4482992,2693527,1560426,887165,500572,500570,887155,1560402,2693484,4482919,7120034,10015502,10015500,14555707,16044833,11140752,7389433,7389434,6588244,4127579,2469066,1631453,1631452,2812319,2812521,4668620,6588297,10024291,10025982,10025981,10776436,7120334,7120335,10776443,10025676,10025677,14569527,254740671,7121140,10777563,15580135,21608884,21606813,15578335,14568158,10024631,7122589,7122587,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,7120211,7121068,7121067,10777452,15579953,15579982,15578581,10776455,10776454,15578576,15582827,10779655,10779656,14569283,15578475,15583700,15579782,10777336,7122716,7122717,7879210,7879211,7122574,7122573,7092185,4465445,4465447,7092192,10734143,15520646,21535495,21608477,21612013,15582806,15482710,15482709,15579814,15579816,15579906,10777427,10776426,7120329,4483111,2693585,2693584,4483102,7120314,7122398,7122396,10779334,15582458,21611685,17658273,15482649,10706575,7073379,4484612,2694479,1561012,1561009,2694469,4484589,7122641,10779728,15582977,21612209,28802199,21535797,16866455,16866456,15582777,15582587,15582590,15520766,15520765,15520807,20300434,20300433,15580329,15580328,21609072,21535536,15520672,15520671,21535531,23135680,16875262,15579916,15579918,21607024,15578519,15578517,21607017,21612295,28882935,23135381,23135375,21606987,21606988,28882922,37277863,28745295,21487121,15482663,10776391,10776392,15578488,10779664,10779665,10779708,15582952,21612184,28888288,37425213,29621772,29521005,28888274,21612170,15582943,15582942,21535768,15520820,10734227,10734226,15520814,10779780,10779779,15583068,21608685,21608684,22178445,17964843,12730746,12730747,17964848,23135669,28745364,29521017,22178532,16052746,16052745,16052751,21535545,16874895,11805144,11805146,16874902,21608694,21608695,21611957,28882942,37277868,37277870,28888208,21612072,15582862,15582865,21612078,16052712,11146175,7392989,4670641,4670643,7392998,11146190,16052739,22178523,28801818,21535387,21535388,28801823,28802178,37340136,37426704,37430153,28888365,22178478,21966383,21966384,16875255,16875256,23135665,29521137,30553677,30553678,24359601,17964864,12730756,12730755,17964860,24359594,23123042,23123041,28884742,28801991,22269269,22269268,29620243,31510039,24010147,17663437,12490568,12490567,17663435,22112570,22112571,22178474,16052701,11146170,11146167,16052692,21535410,15520568,10734095,7092163,7092161,10734089,15520558,21535390,28801829,37339919,29620395,28801831,21535753,21535754,22001740,22001739,29332495,255517702,254811544,11146142,15520698,15520699,255132904,37340009,47249862,47923123,59316276,61700276,58642734,47249876,47249875,47923401,38008346,29446036,22112617,22112618,29446037,38008347,255518382,29620122,38187158,38007715,38007714,255963104,48100768,39136706,30537763,23118897,16859293,11791736,7874069,7874068,11791728,16026088,22111078,22111898,15999740,15999742,22111907,15999779,15999764,15999766,15999221,15999220,11107577,11107578,15999715,16987834,15999852,15999853,22112039,29445663,29445202,29445047,22111505,22111504,21535708,21535707,22110994,15999065,11107147,7366699,7366698,11107142,15999058,22110980,29444734,29444954,22111427,22111426,16875836,268221173,11107082,7366708,254764941,15999075,15999120,22111082,29444827,38007770,254373238,254373236,268098970,255133574,29444937,29444840,22111106,17658280,12487060,8457688,8457689,12487064,17658287,16872168,11802979,7883337,5006537,3027029,1761174,1761175,3027034,5006551,7883367,11803020,11803360,16872507,20286585,20286584,16000037,15999156,11107212,7366742,7366743,11107121,7366753,4653917,4653916,7366749,11107223,11107287,11107924,7367117,4654105,2803823,1626561,1626560,2803818,4654098,7367109,11107201,15999137,11108183,11108184,254811306,11107199,11107198,15999134,22111103,267835660,11802959,16872145,23129509,16869087,16869086,16000347,11108005,7367170,7367169,254173212,7883554,7883555,11803253,16872436,16000215,16000214,15999266,11107291,254128466,254250186,16859437,11791864,11791865,16859439,254249576,23132635,23132636,30550732,30547850,23129495,23129494,254128472,11792667,7879438,7879439,11798249,7882161,7882162,7874356,7874354,7875368,11793300,16861105,16866642,22146261,16870387,16870381,16870380,11928955,11802268,11797439,7878653,7878654,11797442,11802106,11802105,16871268,11803149,11802493,7882885,5006147,5006148,7882887,11802498,16859762,11792081,7883551,5006695,3027156,3027153,3027141,3027139,5006671,254250066,5004917,7881250,254373368,16872487,254558336,254558246,11803321,254173608,3027207,1761286,1003290,565370,565368,1003283,1761271,3027172,5006728,5003204,5003205,3027549,1761525,1761523,3027545,5007268,7884410,7881201,5004852,5004851,7879399,5003185,5003184,7879391,11798207,14555737,11803349,11801331,7881962,7881963,11128054,7381000,4663020,3027191,3027193,5006757,7883610,10015868,10015867,11169247,7880023,5006164,5006162,4123981,4123975,4123973,5006675,4124360,2467380,2467378,1761251,1003273,1003272,1761244,3027120,5006654,7381012,6582710,6582711,5007272,5007258,5007257,7884391,11804480,14554619,14554635,10014778,6582199,6582198,4124404,4124405,6582841,6582739,4124329,4124330,6582743,10015565,10015790,6582923,4663023,2809283,2809285,3027186,5006747,6583531,6583533,10014910,7879645,5003381,5003382,4123987,2467167,1426161,1426162,2467173,2467195,1426258,811320,811321,1426263,2467387,4124373,6582795,10015631,12490403,10607046,6998585,6998584,6582681,6582679,7878617,7878618,10016442,10015572,10015570,6582853,6582852,10015693,8650641,254424161,3496106,5626675,6582126,4123932,2467136,1426141,254117155,254084085,79009,43194,43195,79015,143766,259267,459764,811352,1426309,2467471,4124543,5466216,8459892,6582312,4124073,2467234,1426188,811288,811286,1426182,2467180,2467185,2467189,4124018,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,351148,192367,192369,351108,632508,1128024,1976049,254408279,8459558,8720300,8720298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6611786, s2 = 14963506, dlinesl.size( ) = 2 s1 = 6611786, s2 = 14963506, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6611786, Dl.E( ) = 52, 2.31e-05 seconds used appending s1 = 6784274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6784274, s2 = 7212097, int(edited[s2]) = 0 s1 = 6784274, s2 = 7212097, d1 = 19, d2 = 27 Dl.O(d1) = 258416919 Dl.O(d2) = 264067945,209538923,274147865,266284303,232270747,274306506,264860278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6784274, s2 = 7212097, dlinesl.size( ) = 20 s1 = 8037312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8037312, s2 = 14883112, int(edited[s2]) = 0 s1 = 8037312, s2 = 14883112, d1 = 11, d2 = 11 Dl.O(d1) = 255390019,6951683,6951684,4368954,2617606,2617610,4368964,6953248,8380805,8380809,6228453,6228451,8115277,8115276,8114469,6972352,6972353,6972122,6971798,6971799,8384572,8272017,5337651,5337649,8272008,12247827,9378759,6144040,5197477,3171058,1856376,1856374,3171055,5197467,5197136,5197135,8112122,10572603,255150133,9256962,6062674,3795977,3795821,254205689,752197,752196,1318478,2273648,3795819,6066756,9262691,9240938,9240939,13506250,18942740,21263112,25580116,25580117,30861334,23430988,17154346,17154347,23430990,30861336,33333817,25574310,18965670,13530286,13530285,255269405,25580777,33339916,42320407,258417371,91719063,91719066 Dl.O(d2) = 255390019,6951683,6951684,4368954,2617606,2617610,4368964,6953248,8380805,8380809,6228453,6228451,8115277,8115276,8114469,6972352,6972353,6972122,6971798,6971799,8384572,8272017,5337651,5337649,8272008,12247827,9378759,6144040,5197477,3171058,1856376,1856374,3171055,5197467,5197136,5197135,8112122,10572603,255150133,9256962,6062674,3795977,3795821,254205689,752197,752196,1318478,2273648,3795819,6066756,9262691,9240938,9240939,13506250,18942740,21263112,25580116,25580117,30861334,23430988,17154346,17154347,23430990,30861336,33333817,25574310,18965670,13530286,13530285,255269405,25580777,33339916,42320407,258417371,91719063,91719066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8037312, s2 = 14883112, dlinesl.size( ) = 2 s1 = 8037312, s2 = 14883112, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8037312, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6798167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7960149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7960149, s2 = 9699867, int(edited[s2]) = 0 s1 = 7960149, s2 = 9699867, d1 = 6, d2 = 1 Dl.O(d1) = 17926877,17926878,14194471,9757906,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,32837491,31804274,255676280,47404435,47404436,50484067,40447608,268263718,42283007,268118514,254613510,28328003,25539191,20105128,254872584,18927264,25539584,19463804,13929323,254671823,6273525,6273533,6137935,6113577,3825185,2291764,2291765,3825188,6113584,8659515 Dl.O(d2) = 32329333,32329332,41144194,41144195,51329648,63010677,75994450,89772455,103874225,118017322,131843487,145101913,157536190,152741971,140052036,126704764,112853016,112853015,112853017,98865112,84938219,71361550,58624892,47232132,37323271,255931836,15511038,255409833,28787025,37323276,47232135,58624896,71361556,84938228,98865114,84938225,71361554,71361553,84938223,71625458,58905454,58905455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7960149, s2 = 9699867, dlinesl.size( ) = 8 s1 = 1326510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1326510, s2 = 9694683, int(edited[s2]) = 0 s1 = 1326510, s2 = 9694683, d1 = 29, d2 = 26 Dl.O(d1) = 33346051,254928800,255269890,9270204,6072157,3799260,3799259,6072155,9270201,13541621,18977567,25586151,33346062 Dl.O(d2) = 102491567,88484855,258298915,50558603,258921759,102491569,116593367,130435503,143762185,156286990,167870904,273397645,195519792,202372714,208134412,264831287,219991015,222708438,225042098,227068603,228836907,230394269,231777829,233020473,234144201,235166718,236097302,236944263,237715966,238077531,237340857,236531476,235645251,234672523,233606232,232434231,231138016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1326510, s2 = 9694683, dlinesl.size( ) = 2 s1 = 1326510, s2 = 9694683, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1326510, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 6500372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1013587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1327276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1327423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1327423, s2 = 11626512, int(edited[s2]) = 0 s1 = 1327423, s2 = 11626512, d1 = 23, d2 = 85 Dl.O(d1) = 33368726 Dl.O(d2) = 267335527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1327423, s2 = 11626512, dlinesl.size( ) = 50 s1 = 6626500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9334227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346893, s2 = 6676206, int(edited[s2]) = 0 s1 = 10346893, s2 = 6676206, d1 = 7, d2 = 7 Dl.O(d1) = 262780430,60684173,256480282,31385389,254567386,12373169,259250975,46363670,256701868,10304436,10304437,14972160,10353062,267878921,4276518,6817617,10318405,7775024,7775025,6786624,4254498,2543396,1465299,829155,467873,467872,254155327,2543358,4254414,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882358,1551937,2679268,4459995,254655529,2276565,2288675,2278674,1321494,1321495,2276343,3800338,2276611,1320206,753130,427784,427782,753120,1320189,2276578,3800806,6074654,6091890,6106707,9299475,6092132,3811623,2283232,2283230,3811583,6091741,6081274,3805235,2295989,2295988,3832152,6124792,9350779,13655300,254929775,9279605,13554645,18994292,25606861,257212907,257212904,257265639,26339738,256185587,26339738,255305215,6354245,9663050,14052859,9663040,9663039,14052857,19611254,21512419,21512421,22956899,22956900,30358498,25360709,18778233,18778232,25360708,26342760,26342761,21721065,15676683,15676684,21721067,29007095,37552750,34212625,33090683,33090682,39791490,31111042,23624652,17309142,12185384,8216065,8216066,12185385,17309145,23624658,31111056,39791499,49811929,49215195,39288533,30691308,23276522,255141297,1799123,1026561,578376,323526,323528,578378,267769109,1027105,578704,323698,323701,179226,179227,179234,179232,324476,580206,892794,504556,282902,156242,85778,47080,47079,85780,156246,282913,504574,894380,577111,577110,322909,322908,577129,1024187,1028592,1028593,1801961,3069168,3069167,3072304,3072305,3078936,5068593,7966662,7935985,5046481,3314271,1949697,1113805,1113806,1949699,3078073,3078072,3087307,254177564,1796629,1796628,1778532,1778531,3052810,4516751,5077810,7171572,7171573,5063711,3068112,1788540,1019785,574643,321651,177846,177845,321648,574633,1019765,1788506,3068061,5063654,3086144,3063950,3063949,3091458,3063062,3063061,254562815,7958201,5061970,3066883,3066884,5061974,7948457,5054868,4517167,2714811,2714808,4517157,254564325,5077076,7977769,268100769,23244779,30662302,267993138,30685897,23269150,254180282,11919271,16993054,11917424,7972178,6873325,6873324,5870704,3665684,3665685,5083515,3083254,3083255,5083518,7987385,11910329,11910330,16996015,16728175,11883016,7944286,7944285,11881282,7942909,7942910,11881284,254577868,254567568,11880242,8203132,8203134,11902452,11902451,12012216,12012217,17098486,254385862,23341525,22963766,16727149,11883024,11883025,15980795,11094075,7357624,7357623,11094073,15514174,17014071,11928934,7982302,7982303,7977906,5077174,5077173,7791667,4940229,4940228,7791662,11684533,16727255,22963825,23284059,23248920,23248921,17010073,17010072,254165682,11882054,7943514,7943515,11882055,7945653,7648835,7648834,11499307,9167755,9167757,11918953,11918951,10834741,7162102,7162103,10834746,8001614,5093953,5093950,5083172,3082997,3082996,5083168,7986916,11934410,10438401,6881308,6881307,7962942,5065670,3069817,3069815,5065660,7962914,7958648,7958642,11900321,11902065,11902066,16987255,16985218,16982718 Dl.O(d2) = 262780430,60684173,256480282,31385389,254567386,12373169,259250975,46363670,256701868,10304436,10304437,14972160,10353062,267878921,4276518,6817617,10318405,7775024,7775025,6786624,4254498,2543396,1465299,829155,467873,467872,254155327,2543358,4254414,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882358,1551937,2679268,4459995,254655529,2276565,2288675,2278674,1321494,1321495,2276343,3800338,2276611,1320206,753130,427784,427782,753120,1320189,2276578,3800806,6074654,6091890,6106707,9299475,6092132,3811623,2283232,2283230,3811583,6091741,6081274,3805235,2295989,2295988,3832152,6124792,9350779,13655300,254929775,9279605,13554645,18994292,25606861,257212907,257212904,257265639,26339738,256185587,26339738,255305215,6354245,9663050,14052859,9663040,9663039,14052857,19611254,21512419,21512421,22956899,22956900,30358498,25360709,18778233,18778232,25360708,26342760,26342761,21721065,15676683,15676684,21721067,29007095,37552750,34212625,33090683,33090682,39791490,31111042,23624652,17309142,12185384,8216065,8216066,12185385,17309145,23624658,31111056,39791499,49811929,49215195,39288533,30691308,23276522,255141297,1799123,1026561,578376,323526,323528,578378,267769109,1027105,578704,323698,323701,179226,179227,179234,179232,324476,580206,892794,504556,282902,156242,85778,47080,47079,85780,156246,282913,504574,894380,577111,577110,322909,322908,577129,1024187,1028592,1028593,1801961,3069168,3069167,3072304,3072305,3078936,5068593,7966662,7935985,5046481,3314271,1949697,1113805,1113806,1949699,3078073,3078072,3087307,254177564,1796629,1796628,1778532,1778531,3052810,4516751,5077810,7171572,7171573,5063711,3068112,1788540,1019785,574643,321651,177846,177845,321648,574633,1019765,1788506,3068061,5063654,3086144,3063950,3063949,3091458,3063062,3063061,254562815,7958201,5061970,3066883,3066884,5061974,7948457,5054868,4517167,2714811,2714808,4517157,254564325,5077076,7977769,268100769,23244779,30662302,267993138,30685897,23269150,254180282,11919271,16993054,11917424,7972178,6873325,6873324,5870704,3665684,3665685,5083515,3083254,3083255,5083518,7987385,11910329,11910330,16996015,16728175,11883016,7944286,7944285,11881282,7942909,7942910,11881284,254577868,254567568,11880242,8203132,8203134,11902452,11902451,12012216,12012217,17098486,254385862,23341525,22963766,16727149,11883024,11883025,15980795,11094075,7357624,7357623,11094073,15514174,17014071,11928934,7982302,7982303,7977906,5077174,5077173,7791667,4940229,4940228,7791662,11684533,16727255,22963825,23284059,23248920,23248921,17010073,17010072,254165682,11882054,7943514,7943515,11882055,7945653,7648835,7648834,11499307,9167755,9167757,11918953,11918951,10834741,7162102,7162103,10834746,8001614,5093953,5093950,5083172,3082997,3082996,5083168,7986916,11934410,10438401,6881308,6881307,7962942,5065670,3069817,3069815,5065660,7962914,7958648,7958642,11900321,11902065,11902066,16987255,16985218,16982718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346893, s2 = 6676206, dlinesl.size( ) = 2 s1 = 10346893, s2 = 6676206, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10346893, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 535751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7815012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1328758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1329333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1020230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1330063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1330063, s2 = 12619946, int(edited[s2]) = 0 s1 = 1330063, s2 = 12619946, d1 = 125, d2 = 34 Dl.O(d1) = 33428229,25659844 Dl.O(d2) = 229270807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1330063, s2 = 12619946, dlinesl.size( ) = 28 s1 = 7606550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 536955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1019189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8000539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8000539, s2 = 7041748, int(edited[s2]) = 0 s1 = 8000539, s2 = 7041748, d1 = 103, d2 = 138 Dl.O(d1) = 6117055,9338792,13637900,19101621,25734334 Dl.O(d2) = 255102563,268643297,48443435,59829709,259402047,114162908,128052590,261744707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8000539, s2 = 7041748, dlinesl.size( ) = 70 s1 = 1679078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 751296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13238689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13238689, s2 = 7838971, int(edited[s2]) = 0 s1 = 13238689, s2 = 7838971, d1 = 73, d2 = 74 Dl.O(d1) = 3089370,3089371,4563792,4563791,3091712,3091711,5071407,3074685,3074684,254378409,1793394,1023010,576438,322563,178306,98154,54307,30736,30737,54309,98163,178323,322579,576470,1023059,1022856,1022855,1793157,3073951,3068607,1788894,1020015,574754,574755,1020018,1788900,1793859,1023361,576640,576639,1023358,1793855,3074844,5070596,3074138,1793320,1022953,1022954,1793321,3074143,267900432,5094466,3092208,3074176,3074123,3074124,3084121,1800118,1027291,578814,323758,323759,254130007,1780367,1015190,254174973,1794778,1799735,1572193,893889,504308,282781,282780,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177964,177963,321894,267753813,574026,1018546,1786133,2979163,1729337,983096,983097,254247325,1797696,1025818,578017,578019,1025825,1031003,1786138,1786139,3064007,5057331,7951549,7994487,254817831,5064932,5064930,7962016,7950498,5087697,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,5056564,3063463,3063461,5056557,5055556,3062778,1785353,1018066,254175245,3062763,5055534,5087559,7783838,7783839,11674941,16716721,17039014,16953504,16720460,16720459,22952220,23226768,16953525,11865912,7935744,7782004,4932463,2975591,2975592,4932466,7781995,7781996,254552627,4935390,7785369,7783832,7782476,4932839,2975868,1727106,981854,552845,552848,981863,1727127,982875,982878,1728993,1727753,982176,982177,554304,554303,984676,1728032,1730482,2976763,1727738,982170,982169,1727708,982154,552977,309479,171194,94224,51994,29262,29263,52000,94236,171221,309498,553019,982249,1727885,1727901,983176,983175,981798,552822,552821,309725,171326,94275,52016,52015,94268,171309,309686,553403,571405,571407,553252,553251,982695,1728680,2978225,2984087,2984088,2983503,2983501,4932262,2975430,2975431,4932264,2979852,2979853,4938235,7788758,7784471,4934712,4934695,4934697,4931605,2978059,1728548,982618,553213,553211,982610,254171839,2978810,267897615,2982808,2982807,4942714,7792645,7792646,11679290,15702745,11677079,11672464,7794825,7785475,4935501,4935500,4936098,4940846,4941875,4941874,4935559,4935557,4942954,7795316,11687704,11674747,7783662,7783661,11674745,7789144,4938548,4938549,7789147,11672595,11672594,254383188,11866298,11680352,10878730,7192353,4531089,4531090,7192265,7192268,7936775,7936774,11873311,8074831,8074832,11882789,11211385,11211386,16139152,13190189,8991758,5870591,3665627,3665625,5067267,3071200,3071199,5067263,7965011,11908045,11883769,7944840,7944841,11871693,11871695,11918002,11918001,12010064,16729972,16729971,17081932,11994222,11994221,16967767,17014407,16980420,16980421,16982856,11897686,11897685,9609535,6311804,3955884,2368952,2368954,3076965,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,3058147,1782596,1782597,3058199,5048093,7937924,7791776,4940296,4940295,7791728,7947889,7947888,7956096,7956097,9167875,13409400,16727342,16727424,11928742,11928740,11951234,11899780,11899782,7984511,7984513,7984543,7984542,11931511,17013182,11927802,11927801,17013181,23246714,17018907,11934990,7987407,7987406,11934989,16719127,11677373,7786004,5081922,3082216,254178160,7983850,5081283,5081285,5052756,5052757,7945102,7983628,5081133,3081804,3081802,5081129,7983620,8349986,254403003,3314017,5389415,5053916,3061727,1784717,1784718,3061728,5053920,7947149,254569026,11253405,7470213,7470211,11253398,8352078,5392221,5392220,8354051,12362039,12362038,16189347,17527203,23254222,17528478,17528479,22013631,15912177,11033869,7308737,4612800,2777540,2777538,4612798,7308735,5830861,5086709,3086031,1801781,1801780,254565065,11940651,17025786,256117744,9535930,9535933,11756076,16811746,15216345,15216343,21176047,16808496,16808497,19127605,25767328 Dl.O(d2) = 17902835,24283581,30194321,30194322,38778569,48700902,60096814,60095956,48699845,48217792,40191297,38778261,38778262,41691245,41691244,50213388,61695188,71292094,58560058,58560059,59487838,48099222,38187614,29620675,22269719,16128515,16128517,22269724,29620686,38187630,48099251,48570876,38654956,38654955,48098995,52701944,42314748,42314747,52701939,64602570,59487589,59487588,64151749,59488378,256937704,52299503,64151758,73332926,73332925,72223900,258039902,72223610,63818275,52002906,47392915,47392916,58779992,59487854,48099232,48099231,59487852,257466317,37485335,28943437,21664681,15628970,15628971,21664683,15628975,15628976,11903245,7961124,7961125,11903248,16988512,255971829,38779467,38779466,47741703,37819356,31048984,23564732,17253475,17253474,23564729,24829198,32468479,40517409,50451557,40417006,38778765,30194464,22803851,22803852,30194465,38778768,47392921,47392920,58779998,48699950,38777651,38777650,48491765,58125430,58125431,47301213,37392014,37392016,47301214,47100024,37203635,28680298,21431292,21431293,28680305,37203645,47100037,58478442,47392910,37485319,37485318,32677877,32677878,41573633,42896704,53362783,65366753,72833837,60097010,60097011,72833839,86062077,72464045,256962390,41959810,39727814,31048978,31048977,39727812,44436487,35062479,35062480,44436489,55280603,61686853,50203936,40180956,40180957,50203938,42263980,40173476,31488415,23991246,23991245,27229595,20300546,254985943,4127787,6588579,10024672,14568211,20300571,20302024,14569416,14569417,20302028,22167848,16044780,11140700,7389402,4668223,2812310,1631446,1631445,2812305,4128152,6589182,10025655,14569494,20302115,16045308,16045310,17463187,12311225,11140705,11140706,10024638,6588564,6588563,10024270,14567779,20300150,20300517,15580125,15580126,17658265,15580295,10777705,7121238,4483689,2693950,1560690,1560689,2693957,4483643,7120155,4482999,4483002,4999377,4999378,7874598,11792395,16860121,20302040,16045674,16045673,16663354,15580566,15580568,14569468,10025633,7122357,7122358,7122375,10779259,10779268,10779272,10779274,10779482,10779483,10779529,7122528,4484536,4484538,2694513,2694511,4484677,7119978,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,4483584,2693879,2693877,4483592,7121079,7576856,4792253,4792252,7576851,10025851,14569376,10025572,6589127,6589117,6589116,10025550,14569342,14569750,20302371,15582513,15482599,10706545,7073363,7073364,10706546,15482600,21487044,21606431,28745522,21612476,15583300,15583008,15583011,21612244,255963050,21608742,21608743,16128881,11204202,11204203,16128884,22270325,28801899,21535501,21535502,21612447,21612272,21612273,28801979,255518142,21608979,21608980,28802139,28802138,37340111,47183896,37277927,28745409,21487343,21487345,28745489,37277960,37339901,37339902,268099136,28884885,22001804,22001808,27262987,20328591,14589144,14589145,20328595,27262978,20328587,16128002,11203673,11203672,16127997,22269135,29620138,29620492,29445549,22111912,15999744,254812190,29445423,37277824,37277823,47183845,254811556,38007983,30806291,23378145,23250708,16987868,11902726,7960678,7960677,11902724,15999476,11107436,11107434,15077836,20991423,268603037,30549774,30549773,23131770,16871457,16871458,16861151,16861150,23121044,30539951,29445845,22306710,254250126,11227827,16160319,22306712,22147815,16028861,11129531,11129532,16028863,16083093,11169390,11169391,16083096,16871489,254102442,22214685,16083125,11169413,7410141,7410142,11169416,11793137,7875233,7875232,11793136,11800797,7881606,5005182,5005181,7881602,11800792,16869792,11802382,7882772,5006047,3026569,1760725,1002891,565083,565079,1002878,1001078,563959,563958,1001074,1758407,3023982,4682211,3023932,3023931,2821136,1760334,1760333,3026035,5005331,7881781,5005964,5005965,7409930,7381976,4664029,3026322,1760553,1002777,564999,564997,1002769,1760534,1002897,1002896,1760737,3024122,4663964,7382311,7381983,7381985,7381232,7381230,7879081,7879082,7879379,10014751,6583088,5003260,3024139,3024140,3025666,3025667,2809505,1758379,1001062,1001058,1758366,3023902,5002981,7410060,6583414,4682180,2821098,2821099,4682205,4663883,4663885,4663901,4398341,2635570,2635572,4398346,5006629,3027109,3027108,5006624,4663488,2809572,1629894,926889,522421,522422,926897,926874,926875,926821,522388,522389,926826,1629967,2809701,4663731,4124570,2467486,2467481,4124559,6583035,254558292,20285944,27214288,23884799,17538225,14500213,9977733,9977734,14500217,10017551,10017550,14557964,20288006,27216316,21576990,21576989,28848613,37388526,47297758,58688682,49980253,39963775,31288841,30861404,30861405,39465610,39260153,30664562,23248574,16984644,16984645,23248577,30664564,33319212,33319213,31388073,23891634,17545101,17545100,23891631,28482255,21264790,15302469,15302468,15305088,12435924,10950355,7246896,7246898,7246919,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,16650649,22879009,30276244,38383249,255673166,255177090,17536234,255986106,11618818,10329909,10329910,12251661,254588709,5339023,8274452,8273483,5338425,3281493,1930165,1102797,1102800,1930212,3281658,4687487,268943334,6809933,6809932,6824929,4281607,2559908,2559909,4281551,4281521,2559857,2559858,3304585,3304608,3304606,2538634,2538632,3713109,2223483,2223482,3713106,5938276,9079771,13297966,10369147,6831462,6831463,10369150,9079750,9079749,13297939,18691081,256819987,30341340,255507109,13317176,11664395,7774982,7774981,9097789,5952377,4281739,2559985,2559986,4281554,4281515,2559855,2559858,3304585,3304608,3304606,2538629,2538626,4246006,6774051,256626359,52261646,258384629,60147357,256987563,7721632,254798453,4887513,2945230,1708033,970859,970860,254244777,4887524,7721652,11599617,16629294,11601812,7723194,7723195,11599534,11599533,16629180,256140950,6190757,6190758,6279906,6279908,6176571,6176568,6126713,5724497,5724496,8788759,8696293,5660273,5660274,6202309,3882123,2324698,2324699,3882128,6202323,9459409,13794849,19294492,25959300,33768069,25959265,19294447,13794811,13794812,14255677,19900096,21667220,15631187,15631185,18539955,18539953,20963871,15593655,15593656,16108114,16108113,19243887,15002544,14563283,13661216,9355056,9355055,13661212,14563292,18045909,13929857,9561190,6273824,6273825,9561196,13929868,18951945,20838458,24117560,31623001,254482806,17988478,12749582,12749581,15588872,14607150,14607148,13286042,10044775,6600957,4135382,2473746,1429943,813485,461132,461127,813445,1429843,2473541,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514228,14928280,10265338,6745370,6745372,10265345,14928293,20826664,27991050,31679698,24171599,17804166,254484394,29187882,255365338,17106731,15140123,15140122,21077402,21077273,15140030,10442114,10442117,15140037,10947636,10947637,10947651,10947652,11314993,13507078,13507079,18943606,17899143,12679221,12679220,16272502,16272504,14076556,9681604,6367777,3995616,3995615,6367772,9147089,9147088,11078397,11078394,11333416,11333415,16290199,15962034,11078410,7345926,7345925,11078408,7708387,4878478,4878476,4596305,4596304,7288683,11010262,15883218,21978115,16839740,16839741,15715748,10879131,7192599,7192600,10446989,6887075,6887074,10446985,15147557,16272373,11314885,7512866,7512864,11314879,16272362,19640045,14076381,9681489,9681488,14076377,19640034,18765069,18765070,25346052,28282445,25344818,22441689,22441690,24199711,31707106,38397978,37624608,29073636,29073637,33293871,38122690,36475287,32394031,24771352,24771353,23397623,17125674,17125675,16936484,16936486,23207449,23207450,30630118,23207226,23207224,23207715,16936653,11853587,7922369,5036658,3049517,1776572,1012883,1012884,1776575,3049526,5036671,7922389,11853622,16936337,16936336,23207254,29986085,22618767,22618766,29986082,38555591,30630215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13238689, s2 = 7838971, dlinesl.size( ) = 64 s1 = 1334910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7758634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7758634, s2 = 6577235, int(edited[s2]) = 0 s1 = 7758634, s2 = 6577235, d1 = 10, d2 = 8 Dl.O(d1) = 274510437,274663281,265645648,274046240,257804780,33561451,25772070 Dl.O(d2) = 256151637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7758634, s2 = 6577235, dlinesl.size( ) = 14 s1 = 1335767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6716118, s2 = 170173, int(edited[s2]) = 0 s1 = 6716118, s2 = 170173, d1 = 22, d2 = 29 Dl.O(d1) = 257650445,50029466,61507567,53071468,256670514 Dl.O(d2) = 19095392,13633163,9335391,6114852,3825954,3825955,3829243,3829245,3825920,3825921,3829240,3829245,3978705,6076361,6076363,6120313,9306518,9306521,9336659,13591694,9797256,6440268,4039637,4039638,6075108,9274564,13547621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6716118, s2 = 170173, dlinesl.size( ) = 14 s1 = 9441987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163516, s2 = 9689210, int(edited[s2]) = 0 s1 = 14163516, s2 = 9689210, d1 = 49, d2 = 52 Dl.O(d1) = 136750124,122918159,108653092,94365110,90767645,80308610,66879133,54621326,257884730,19810302,26619937,34608199,34608196,34608197,43878964,38592356,30019764,30019763,38592354,32280452,256587257,49239985,39313196,30881566,23450264,17173780,17173779,23450261,26008396,19334606,13826251,13826250,19334602,26008384,33826027,30715140,30715139,33826003,42867096,42867107,42867106,39313151,30715118,30715119,30715376,30715375,30715325,30715326,33826077,33826075,30353612,22951795,22951794,19334612,19334611,26008407,256684023,39313158,30881556,30881558,39487485,39313188,30715154,30715133,23298313,255142661,8000995,5093516,5093513,8000989,11952251,17038317,23298262,28157972,28157900,28157899,36632245,28157858,20978546,15066941,15066944,255798755,36632252,257404029,65326373,53328476,42867033,33825921,33825919,40624842,31910827,24379377,24379351,17980748,12743081,8659927,8659929,8660155,8660156,12743459,17981209,24379223,17980621,12742984,12742985,12743380,8660098,8660097,12743010,12743011,17980650,24379192,17980597,12742968,12742967,17980593,24379190,24379672,17981041,255512802,12743466,11822501,7900823,5022235,3039960,3039961,5022237,254813623,12851870,12743490,12743491,17981236,17980687,12743044,12743045,17980689,23155766,30573287,23155723,23155724,24379520,30573255,39171262,49101610,60505716,73252709,258158322,48977803,269363485,73114393,86720138,86865626,73252701,269196746,39171253,30573248,30573249,39171254,49101600,60374451,48977811,39055629,30465583,23057054,16810188,11754986,7848652,7848654,11754991,16810200,23057080,24832166,32471953,41317786,50682412,40625116,31910999,31910998,40625114,39939785,31264789,31264788,39939783,42276740,35251938,27153193,20242160,14525037,14525036,20242157,27153190,31910987,24379543,24379544,31910990,37994650,256315662,22412430,29776732,38348627,40625102,47293837,37384654,37384653,256443588,62200721,55486316,55486317,60432982,49802732,49802731,48955781,39033702,39033701,46779837,39783599,31104706,31104705,39348196,33295362,25533839,25533840,33295365,30246881,22852530,22852529,22852550,16627479,16627478,22852546,30246911,38830309,48750314,48594396,48594395,38830299,30748534,256134248,14180279,14180278,14221988,19851156,26666763,34658705,39318621,39318188,30719887,23302579,17042318,11955742,11955741,17042315,23302571,17042328,11955747,11955749,17042333,23302601,30719914,39318217,30720144,23302786,17692773,17692774,256032071,26071508,19387535,19387534,26071506,30720251,30720299,23302946,17042580,11955909,11955908,255528983,23302935,17042570,11955904,11955905,11955918,8003689,8003688,11955915,17042585,23302650,23302652,28632494,28632490,26965895,20081108,20081109,26965896,35046541,39318162,39318163,39318198,30719895,30719896,39318203,38250082,38250083,38592348,38592346,39318240,39318238,33270257,33270258,26965886,26965887,30719841,23302521,17042281,17042283,23302527,20324213,20324212,27258190,25509624,18899160,18899159,25509620,33270265,39318168,30719945,30719944,39318246,39236919,30638861,30638859,29685013,25509606,18899149,13467487,13467488,18899151,20081115,14397904,9903410,6509212,6509213,9903414,14397908,20081123,22333054,16186188,11251131,7468599,7468600,11251136,16186193,20020049,14338789,14338788,20020046,26902721,34982594,44360225,39318303,30720005,25556088,25556087,30720040,39318335,49245234,59546253,72280719,72642077,59900740,48507165,38592288,30019702,22647192,22647191,30019700,29685011,22333040,16186181,16186180,22333037,29685005,33602534,33602535,32551331,24901595,18398389,13068143,8904915,5810855,5810856,8904917,13068144,18398395,24901606,29419401,23442267,17168156,17168155,23442260,23448730,23448731,30879576,32726434,39457271,256444484,70836980,58122595,46754103,267982156,21160763,15204424,15204423,21160760,28378135,254547930,255118500,12071860,12071862,12071861,17168737,22864552,16637325,16637326,22864555,30260504,24291106,17909343,12687934,8618692,8618691,12687929,17909333,24291088,28378572,21161130,21161131,28378577,22089005,15982524,12075593,12075592,11095467,7358547,7358548,11095472,15982551,17892240,12673661,12673662,17892242,23422343,17145290,15969813,15969812,22075378,29253832,21932822,21932821,15969722,15969721,15969711,15969710,22075243,22075493,15969921,11084978,7350895,7350897,11084984,15969935,22075510,23422653,17145601,17145603,22075536,21163383,15206902,12049738,8101049,8101050,12049741,17145503,23422562,21148189,21148187,28364050,29406127,29404126,28379568,21162108,15205719,15205720,21162109,21148249,15194914,15194915,11084887,7350843,7350844,11084889,15969758,12049781,12049780,268245993,21165917,255019501,10491257,15208980,21165924,28383778,22075646,17145242,12049552,10491217,6918037,6918035,4346002,4346004,6918052,254721593,4343230,2600497,1500322,1500324,2600507,4343256,4343531,4343532,3166589,3166590,4343576,6915392,7290951,4597665,2765885,1603285,1058045,594952,331711,182677,100199,254079889,331706,594945,1058036,1853835,3166709,4345388,4344092,3167895,1854714,1854715,1622401,1501537,851061,480688,480690,851066,1501552,2602321,2601449,1500916,1500914,2601331,4344200,2601170,1500731,850569,480401,480399,519819,291423,291425,519828,331724,182681,182680,270564,149988,82512,82511,149987,270560,480720,851127,595109,331801,182722,100222,55280,55281,100228,182733,331822,331877,182764,182765,331882,595231,1058514,1058521,1622049,1622455,2602433,1854598,1854597,2603076,1502084,851411,851412,1502087,2603081,4346551,2802586,1625775,924452,924454,1622283,1622281,2796698,2802145,1625479,1625478,1184149,665154,368945,368946,665158,1184157,2063287,3477300,254617925,7365571,4652943,2803020,1626062,1626061,1058096,1058094,1853922,3166844,5190368,8101354,6917279,4345229,2802542,2802541,4652273,7364789,11105031,8617727,5602282,3478036,3478035,5602281,4438090,4438091,7050935,10675018,9003935,5877863,5877854,3669678,3669680,5877854 Dl.O(d2) = 32303801,32303802,32303804,24691852,18223714,12925919,8793199,254893153,18223713,24691850,32303800,41115549,41135476,37045820,37045821,46923885,51307575,44466181,35089760,35089759,39842948,31160125,24741999,24742000,32358280,38756013,37338052,28800140,26013297,26013296,33831309,256641082,65331113,70544330,57842383,57525361,57525362,48080635,48080636,48318101,38407348,38407349,38407157,29835195,29835194,37874254,42289355,35348401,27225349,20296824,20296822,27225341,35348395,44773522,48318012,48318011,48317800,38406979,29835047,254986164,38406973,38406972,38407103,48317925,41022705,41022706,32247696,24649268,18192239,16300091,254985694,7537154,11341631,16300098,22468407,254985702,44773592,35348468,27225400,27225399,35348465,44773599,38167076,38167074,38167077,29600113,29308303,29308304,37877049,47800882,44773512,35348387,35348386,44773511,51196333,41040378,41040379,33454826,25683195,22009615,22009614,29341514,37910617,37932848,38167720,38167718,38166903,29599960,29599961,38166906,38167724,48080641,51196256,41040315,41040314,51196253,47628986,37706690,29146553,21958990,15866483,10997067,10997068,15866485,21958994,26021187,256167265,42884156,257064116,59268571,47872840,256125636,41022707,32230717,24633611,24633614,32230721,41022712,44783283,35359511,256125640,29600515,22250731,16112528,11191941,7426003,4692632,4692633,7426006,11191947,16112536,22250748,29600546,38167573,41794573,41794572,52108753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163516, s2 = 9689210, dlinesl.size( ) = 2 s1 = 14163516, s2 = 9689210, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163516, Dl.E( ) = 56, 2.31e-05 seconds used appending s1 = 1023320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1023320, s2 = 9183153, int(edited[s2]) = 0 s1 = 1023320, s2 = 9183153, d1 = 29, d2 = 5 Dl.O(d1) = 13701016,13701017,19185071,25838624,33641880,42671044,49734697,39716055,34306804,268460258,66005752,59740717,58789316,58789311,52684554,42297901,33317281,33317280,28951378,21671401,21671400,21671349,15634385,10819234,7150289,7150290,10819237,15634391,21671359,28951322 Dl.O(d2) = 65670836,79022188,93138416,107544076,121917064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1023320, s2 = 9183153, dlinesl.size( ) = 2 s1 = 1023320, s2 = 9183153, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1023320, Dl.E( ) = 30, 8.82e-06 seconds used appending s1 = 9387756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9387756, s2 = 13327076, int(edited[s2]) = 0 s1 = 9387756, s2 = 13327076, d1 = 17, d2 = 19 Dl.O(d1) = 175286829,164515729,152671144,139972437,126618313,260532336,270294826,58540607,58540608,47152223,37246906,269315956,48165984,38256600,29691242,22338607,16190848,11254661,7471111,7471112,11254664,16190854,22338617,29691259,22338718,22338716,16190943,11254729,7471146,4721454,2844600,2844599,4721452,7471144,11254726,16190938,22338742,29691429,28229160,21032269,15106519,10419309,6868678,4310973,4310974,6868680,10419312,15106525,21032281,28229182,29691237,22338603,16190846,11254660,7471110,4721432,2844587,1650308,1650310,2844592,4721439,7471120,11254679,16190872,255904813,25584167,18975971,13540370,255269697,25584161,256654655,52711788,269000204,68087776,256535602,42116112,33161772,25420568,25420567,27225712,33161884,25420668,25420667,21342611,15367898,10618396,10618395,12097027,8135593,5212480,5212479,8135591,12097025,12097016,12097015,17202303,23486070,23486096,23486095,30923808,28725880,21469170,18179152,12892488,12892487,18179150,13542715,9271067,6072770,6072769,9271064,13542708,18978955,25587818,33348061,26166901,19466387,13931463,13931462,19466385,26166899,30087147,22705239,16501270,16501271,22705235,30087141,38664461,33775829,25966118,25966117,33775828,36596829,28123500,20945892,15037264,10364691,10364692,15037266,20945896,28123503,255270032,21342607,26025733,26025734,256685351,257527488,43283910,34187020,255468998,20896526,28067655,256275781,14984951,14984950,20888040,20851230,20851231,14984955,10316764,6786835,4254666,4254665,6786833,255001857,20888043,28057864,36523209,257391959,28463642,28463641,36963192,257672204,71449918,71449917,59446614,269808419,76280878,90093485,104225914,99731847,85777855,85777856,99731851,113746261,116231533,102364931,88367957,85777861,72183424,72183423,258281160,72183370,72183369,85777785,99731762,259372219,77975563,77975562,91900153,106095211,102310449,88315123,88315125,102310452,107801487,102310500,88315151,88315152,102310502,116402386,130238408,116402370,102310479,88315142,74687643,61894114,61894115,74687646,88315146,102310486,116402376,102310505,88315153,88315154,88315160,270916469,116402401,130238441,143565488,143565492,261942494,143565482,261696832,143565477,130238425,130238426,130238436,260148419,102310516,116402400,130238440,130141549,116231552,102171340,102171341,116231553,130141550,141681534,141681533,154334010,152835884,147752185,134621699,134621700,141681521,128331737,114454624,100430059,100430058,114454621,128331731,141681518,153630218,153630217,147752182,134621698,120824806,120824805,114454616,100430055,86472832,257493378,78251271,78251270,92278457,106576656,120824800,134621694,128331694,128331695,141681491,128331740,128331741,141681524,154334005,166083649,154333995,141681504,141681503,147752179,258370076,115128290,101053534,87057415,87057416,101053536,115128293,258370078,86472805,86472806,100430011,114454556,128331681,115128298,101053540,87057420,87057421,101053542,115128295,115128294,128260673,114454538,114454539,100430004,86472801,72877231,72877232,259423925,114384222,100360720,100360719,114384220,128260649,128260633,114454557,114454558,114384217,114384218,114454542,128260636,114384209,100360713,100360714,114384210,128260637,141611066,141611124,148954739,135715727,128260678,128260677,141611088,128260668,114384269,260018974,86404448,100360743,114384267,114454580,128331690,128260727,128260728,132878527,128260652,128260651,128260644,114384214,260634577,100360734,86404444,72809239,60071910,60071909,72809234,86404441,100360724,114384232,128260666,128260681,141611097,154266909,154266916,152835912,141611093,128260675,114384238,100360727,100360728,114384240,114384252,100360735,100360736,114384254,128260696,128260723,128260721,141611127,128331674,261217007,141681480,154266888,141611070,128260640,128260641,114384286,100360753,86404455,72809246,60071913,60071912,72809244,86404453,260634579,128260647,261210881,114384230,114384227,128260658,141611075,154266895,162126335,149914622,149914621,162126334,166019592,176660759,166019591,154266928,141976024,141976025,141611120,261757561,164672394,152835904,261763884,154333972,154618066,141976029,141976028,136779221,136779220,128260701,128260702,141611116,154266932,154385218,141737708,140141281,126790762,126790761,128260709,128260710,141611121,154266936,166019596,176514269,166019578,166019579,166130121,262069135,140141283,126790765,126790766,140141284,152835905,154266919,164672385,152835897,152835898,164672388,154266946,154266947,164672405,175430388,166130128,166130126,166130130,273139502,149914618,140141271,126790745,112936284,98947108,259941779,114518186,100494355,100494357,260645561 Dl.O(d2) = 72937358,72937359,86535649,100494375,260645563,100494365,86535642,72937356,72937355,86535637,100494361,114518193,128392326,121775376,107390621,107390623,260291208,140141299,126790776,260604675,260378886,112936320,98947134,85022033,270816805,98947125,100494354,86535633,72937353,60198125,48801192,38878833,38878834,48801194,60198130,72937363,86535653,98947130,85022031,85022032,98947132,260542493,99911271,99911269,113934263,272230532,114518213,114518210,100494376,100494377,114518212,260291206,107390620,92979856,92979854,107390618,121775374,121775368,259049230,78867752,65531595,53505918,257214876,66916241,54659638,43917314,34644396,256725125,54659633,43917327,43917326,54659658,61324474,49841192,39817639,39817640,49841194,61324475,71449915,58719482,47330996,47330997,58719443,58719442,54659641,54659640,47330946,47330947,47330948,258072179,71449871,71449914,58719497,58719369,47330890,47330889,47331022,47331023,47330963,37422692,255847709,21604869,28880673,37422689,47330989,58719427,58719426,71449868,58719360,47330882,37422603,28880614,28880615,21604890,21604891,28880705,37422738,47330876,37422597,37422598,47330877,53123510,42672603,33643379,25840128,25840127,33643377,33968463,43026311,53505978,65531667,78867775,65531618,53505934,47330914,47330913,58719397,258696147,85021985,78867798,65531648,65531649,65531633,53505947,43026284,43026283,53505942,65531631,78867784,65531647,53505959,257214888,43026300,33968446,26129754,19434812,19434811,26129752,33968442,43026293,53231250,53231249,58719432,65220101,78509043,85021983,98947095,92979845,92979846,257806204,53505937,43026281,43026282,53505940,257237137,33748364,42779471,53230968,53231357,42779835,42779756,33748611,33748612,42779758,53231285,256679691,33748731,42779899,53231415,47113973,37216839,33748642,25940949,25940950,33748643,42779796,53231315,65220060,65220093,65219808,65219809,78508763,92554866,84583944,71019687,71019686,84583942,78509051,65220109,53231385,53231386,65220110,78509047,78509048,71213785,71213784,71213787,71213786,84782778,98710976,84787217,84787216,258058144,47117979,47117980,58496377,71218301,78509045,78509044,71213824,58492095,255835922,37220479,28695169,28695170,37220482,47117955,58496352,71218270,84787198,84782817,71213826,71213825,269314652,84782840,71213841,255404530,37216834,37216833,47113960,58492106,71213810,269314650,37220483,257447463,71218272,84782785,84782784,71218253,58496340,47117948,47117947,58496337,71218250,84787173,98714952,269782344,84787293,71218379,71218268,71218263,71218264,84787188,270292958,84787186,98714967,98711028,84782835,84782838,84782796,71213807,58492084,58492083,71213805,84782794,71218377,71218376,71218261,71218260,84787180,71218258,71218257,84787178,98710986,98710984,98714945,84787169,84782806,71213814,58492091,47113951,255404524,71213816,84782809,84782831,84782800,84782801,98710996,98711021,84782829,71213834,71213833,84782827,98711019,112706759,98711025,98711026,112706735,98714963,98714964,109370490,112710421,98714976,84787212,84787166,84787165,98714941,112710409,98714958,84787176,84787175,258058134,84787250,78508781,78508750,65219802,256867966,84782805,98711003,106873989,92554861,92554860,78508759,65219806,53231048,53231047,53231061,42779560,42779562,257829603,67591870,65219811,55250341,44402483,44402484,257905409,81059473,92554825,272532576,65219772,257829595,53231017,65219781,65219995,78508961,92555031,78508957,65219990,65219989,78508956,92555030,106874099,106874098,121142314,134952779,148076993,148076990,147889993,260906609,120974896,134771323,120974922,106722818,92417287,92417286,106722817,120974921,134771337,134952786,134952785,134952783,134952782,121142320,106874108,260320143,106722784,92555044,259067991,65096116,65096117,78379954,92417276,106722812,260312351,92417226,78379911,65096096,53109254,42657439,33628570,33628569,42657438,53109252,65096089,257822355,53109248,65096085,78379900,65096118,270022205,65096122,65096124,65096123,65096128,78379964,72183738,72183739,85778131,74682827,74682828,88309896,260590255,102304395,259533620,102304439,88309947,74682870,61889720,61889721,270402149,74682787,81016906,72183715,59445449,59445450,61889710,61889709,72183720,72183721,85778118,258123743,48053796,48053797,40364168,40364167,50399328,61889688,50399363,40364184,40364185,50399336,50399335,40364182,40364181,50399356,50399368,40364187,40364188,50399371,61889727,55226059,55226060,59926180,48532675,256426877,22668292,16472801,11477416,7633820,4829554,2910267,2910266,4829553,7633819,11477413,16472797,22668287,30043670,36963196,38009551,29447333,22113842,22113843,29447337,28642993,28642992,37158785,43297937,37651928,29102959,21804822,21804821,28870104,37411411,47319865,58708817,58210275,46842183,36963222,36963219,46842156,36963193,36963192,46753018,36873809,36873808,46753016,255895656,32818217,25114531,25114532,25825200,25975188,254337944,15584707,21614080,28890199,37431932,47339794,48049270,256882580,59442037,48050333,38137031,38137032,268401548,22224254,16091138,16091137,255080956,32947328,29569845,29569847,29569799,22223168,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9387756, s2 = 13327076, dlinesl.size( ) = 2 s1 = 9387756, s2 = 13327076, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9387756, Dl.E( ) = 20, 2.6e-05 seconds used appending s1 = 13423145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13586759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162318, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1340289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1340289, s2 = 6036953, int(edited[s2]) = 0 s1 = 1340289, s2 = 6036953, d1 = 3, d2 = 78 Dl.O(d1) = 33688965 Dl.O(d2) = 240240274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1340289, s2 = 6036953, dlinesl.size( ) = 2 s1 = 1340289, s2 = 6036953, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1340289, Dl.E( ) = 100, 2.91e-05 seconds used appending s1 = 6678208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1340569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13679287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13679287, s2 = 10345098, int(edited[s2]) = 0 s1 = 13679287, s2 = 10345098, d1 = 15, d2 = 11 Dl.O(d1) = 175823069,175823113,165097549,153283792,140603664,140603663,140603701,140603700,153283825,165097583,175823144,185328921,193622077,185328903,185328873,175823079,261953940,153283770,165097520,175823077,185328869,185328899,185328898,193622073,193622066,259444588,177157303,177157302,272237232,194556666,186400387,177043060,166460032,166460033,177043063,166583849,154883536,154883537,166583851,177157275,186505271,184292211,174669157,163851375,151982344,151982343,150306939,150306938,162442802,173485033,165843965,154074695,141400752,141400751,258197198,176499221,166460063,154752999,154752998,166460061,166460044,258197206,258197200,162442793,150306929,255963124,123535056,137266065,123535069,109343351,95089194,81030997,81030996,95089191,109343346,123535058,256464158,100109807,100109806,100814012,86832823,254557962,55218267,48424538,38517136,38517137,48424540,255517812,60473947,72641389,81752701,68227715,68227718,255133026,68227721,59301764,55218271,44367151,39140878,30542464,23124075,16864318,11796224,7877710,7877709,11796221,11796198,7877695,7877696,11796200,255517803,255517816,47906882,37990763,37990762,47906880,59301757,72038016,257008548,49070881,49070882,59810381,256464172,81752705,81752706,256464174,268422070,39140838,30542461,30542462,30542457,23124071,23124070,30542455,39140871,255517818,59301766,47906889,37990767,29428795,29428796,37990769,47906892,59301771,72038026,72038023,60473936,60473935,72038020,59301759,59301758,72038017,85626285,72038039,255963138,47906886,47906887,59301763,72038021,85626290,99576577,256464154,59301798,47906912,255887518,22097546,15988811,255449041,29428798,37990773,47906899,258113413,60473938,60473939,73220313,86832812,100814006,114865404,113592829,257903794,109355150,268547092,81043018,85626307,72038047,59301792,59301793,72038051,85626313,85626316,72038054,59301796,47906910,37990781,37990780,258113415,72038036,270316887,72038032,59301780,47906898,47906897,59301777,47906906,47906905,59301789,72038041,259362157,113592830,127468379,137279124,137279123,150320949,140828125,127468385,113592838,99576590,85626309,85626310,99576588,113592836,127468382,140828123,260660690,119902008,271797684,127470728,133771239,259982582,91442154,77512139,77512140,269335950,47911332,269335209,72041328,260580959,261707311,127470720,113595378,99579407,258115728,72041332,85629327,270835914,85629313,85629312,99579393,260580955,271330586,99579403,85629323,85629322,99579398,85629315,85629314,99579396,261069289,112091753,112091752,125925960,139275363,151982350,260688642,112141229,98178722,98131763,98131761,112091756,125925963,112091764,98131772,84236903,70684045,70684044,81604307,256492178,46589401,257407553,70684051,257086670,58015393,70730722,72949707,72949708,86548891,100510611,112141231,99654052,99654053,99838602,85884506,255949040,100510590,86548870,72949690,60210776,48814924,48814923,60210774,72949687,259429543,73602994,73602995,259473943,115304359,129232514,141775875,128423493,258849344,258805561,258182107,60210777,72949692,86548865,72949688,72949686,72949685,86548862,87225141,101226144,90056692,76248365,258182112,269831806,86548874,86548873,100510592,114540625,118342602,259606982,76248374,63233398,269048037,257152215,63233395,270996967,260646119,114540630,104185815,90056696,76248367,76248368,90056699,104185817,118342598,259606973,76248372,76248371,259606971,259606969,258353211,63233389,76248363,63233416,51520290,41302691,41302693,51520293,254898106,74792676,76248384,63233407,51520283,41302687,41302686,51520281,63233401,75679968,62733729,257311844,51520292,41302698,32459994,24822404,18330946,254898105,254898103,18330943,24822398,257739515,76248386,259606980,51520289,41302690,32459989,24822399,268472535,41302689,258353213,90056720,104185831,118342621,118342610,104185823,260819547,145386603,145386611,132157386,132157387,132157382,118342617,118342618,132157384,259449974,166516468,270872446,142109654,128752894,114854796 Dl.O(d2) = 12296,22069,22460,22196,22198,40374,40539,74857,75791,139018,245312,245310,434397,437586,247015,247014,437582,769974,1349632,254208861,1340706,765717,765718,1338452,764531,254149463,254305371,6152788,9391769,255284285,25856168,256228460,28271506,21068669,254693832,24332657,17943964,254879893,3490474,2073291,2073290,3490472,5618701,8639481,255207375,24332646,20041919,20041923,20091819,24332656,27288812,26927292,20041841,14357061,14357059,20041835,26927280,20042116,14357243,9865062,9865063,14357249,20042128,21413460,21413459,24149898,17892705,12673983,12673982,13138113,18492720,25023489,31785126,25023539,18492750,13138128,13138129,18492753,25023542,32708040,41612064,41612040,32708001,25023515,257472359,37554762,29008744,21722374,15677783,15677785,21722380,29008752,34076353,43160249,37555302,37555301,47462803,58847755,47663356,37741430,29180640,21869839,255867561,268933317,61503550,268491530,101855722,106120460,106120459,106120456,91927948,257824386,120318638,259698492,259698494,134799126,134799127,147917664,273460039,217755460,274315225,274353709,216225409,264788138,186374480,177012315,262290923,142076980,128717742,114817835,260057582,60425676,49022041,39092930,30496895,23083462,23083461,268656687,42149177,33190092,25444700,25444701,256643069,52506991,60424748,49020963,39091460,33190090,257788493,77548675,258193390,101176106,101176105,115252543,115252545,101176108,101176107,259731936,122025947,122025944,258471656,65778123,257260024,93248512,107651475,122025942,260945338,161463512,261511628,126572969,259918184,58495583,258682355,84786330,84786333,258047776,58495593,58495589,58495588,71217407,257796214,33279859,255707088,6037269,254300339,1312973,749501,749498,1313015,2263094,2262773,2262774,2263995,2263996,3779727,6035611,9217600,9217808,8953038,8953039,13113925,12941606,8932948,5830591,5830593,8932957,13106969,18450941,24970860,32642151,268779344,259582303,259718588,121091491,259702724,33731549,25924600,25522369,18912924,18912925,256133017,42262349,257236252,52648009,64547244,77729465,91657167,105865263,120077905,129507874,129507873,142824522,129507867,115623263,101583237,87616212,258535408,39733578,257045783,61231331,74012064,260099431,129507834,262322795,177552266,273571483,264132052,177552235,262580872,142824469,129507828,115623242,115623243,129507830,142824472,155405565,167045650,177552255,263611801,201863974,264552903,207694582,263785430,264272813,212503382,212503443,264687774,201863975,194935505,186840989,177552257,167045651,273500268,194935509,201863978,264115542,207694594,201863891,194935384,194935383,263418226,212503394,264424906,194935461,273823674,186840903,186840892,186840893,192152092,183632926,183632925,186841019,186841020,194935524,186841026,186841024,194935531,186841031,186841030,194935535,201864002,205696502,199488048,192152118,183632942,183632943,192152120,186841080,186840824,263611789,201863866,207694571,212503377,216435247,219696047,265129034,216435249,264409602,201863879,194935376,186840833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13679287, s2 = 10345098, dlinesl.size( ) = 2 s1 = 13679287, s2 = 10345098, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13679287, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 1340927, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6500575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13480817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 549515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1342492, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1027359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8271602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8271602, s2 = 11653862, int(edited[s2]) = 0 s1 = 8271602, s2 = 11653862, d1 = 43, d2 = 39 Dl.O(d1) = 270556467,65199360,258445621,53213604 Dl.O(d2) = 267864321,2318829,1344356,1344359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8271602, s2 = 11653862, dlinesl.size( ) = 52 s1 = 1342843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1343770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162554, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1260391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13285313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1029064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13331527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6455093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6455093, s2 = 14163571, int(edited[s2]) = 0 s1 = 6455093, s2 = 14163571, d1 = 26, d2 = 69 Dl.O(d1) = 254667115,255290507 Dl.O(d2) = 35649551,45172625,56189264,68676121,82204222,96227572,261020855,270746133,45716193,36023330,257363563,69500433,258976980,70000144,259235421,111350133,259402584,69905411,69905410,69905416,68234684,55904755,44953015,44953012,55904749,57328309,46051459,46051461,56132800,56132799,55953271,55953272,68400890,81925363,95974897,96625423,96625422,95503166,81463268,81463267,68927378,67941487,67941486,81417015,83530105,81937098,81937097,82106596,68581359,56108790,45111028,35605538,27544334,27544335,35795234,45386808,56471241,57369477,57369475,56315764,45754118,36050639,27710659,20633372,14797012,14697159,14697157,10164236,10058007,10058005,10064076,6611566,4182665,2500976,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232270,14880814,20760628,27579927,27579929,35851319,45471568,56587952,68962835,69025067,69025066,57507265,57507264,70172420,257986469,57417872,68862108,82272797,96287710,270092156,68295236,68295235,81820141,69943427,57295019,57295020,68784642,56286370,45250292,45250293,56286372,68784643,82310311,96320522 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1346196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1346657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1031674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1031674, s2 = 11227388, int(edited[s2]) = 0 s1 = 1031674, s2 = 11227388, d1 = 0, d2 = 4 Dl.O(d1) = 26038670 Dl.O(d2) = 42905276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1031674, s2 = 11227388, dlinesl.size( ) = 2 s1 = 1031674, s2 = 11227388, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1031674, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 1347590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10221961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6536849, s2 = 4505884, int(edited[s2]) = 0 s1 = 6536849, s2 = 4505884, d1 = 23, d2 = 37 Dl.O(d1) = 255701634 Dl.O(d2) = 207923432,212701843,265043365,216607981,212701844,207923433,202125412,195226814,187156584,177885981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6536849, s2 = 4505884, dlinesl.size( ) = 2 s1 = 6536849, s2 = 4505884, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6536849, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 9368564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6679577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9168594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9168594, s2 = 2242354, int(edited[s2]) = 0 s1 = 9168594, s2 = 2242354, d1 = 14, d2 = 8 Dl.O(d1) = 84338552,70779784,58062084,46688956,36804830,36804831,46688958,58062086,58467107,47088920,37193029,28671034,21423907,15432279,15432278,21423905,256325279,31428286,31428287,28307631,21097880,15154691,10451472,6889673,6889674,10451470,10451471,15154688,16619074,11592342,7716681,7716679,11592341,16619072,22841494,30234329,257566899,258798911,65480545,53460006,42985162,33931173,26097826,19408743,13885831,13388880,9152979,5990168,3745612,2318622,1344253,1344255 Dl.O(d2) = 128430236,260046480,86552221,72952772,60213767,48817743,38896304,256449181,22910723,16678232,11641670,7755836,7755837,11641674,8354579,5392560,5392555,5675010 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1349524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1033814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7927555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13292451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3819795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14071075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9578714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6937786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6937786, s2 = 9155911, int(edited[s2]) = 0 s1 = 6937786, s2 = 9155911, d1 = 57, d2 = 22 Dl.O(d1) = 260339425,65527592,259417696,6260281,6260282,269307506 Dl.O(d2) = 65527593,258460735,65527594,259721153 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9170389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1034365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1034365, s2 = 13224450, int(edited[s2]) = 0 s1 = 1034365, s2 = 13224450, d1 = 1, d2 = 17 Dl.O(d1) = 26128157 Dl.O(d2) = 3371930,5479658,8477235,12513283,17692199,256031795,24042361,17690374,17689528,12511160,8475763,8475762,254604169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1034365, s2 = 13224450, dlinesl.size( ) = 2 s1 = 1034365, s2 = 13224450, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1034365, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 10209272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6502874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1035800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13404899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1035883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9342482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 438891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 438891, s2 = 7978830, int(edited[s2]) = 0 s1 = 438891, s2 = 7978830, d1 = 0, d2 = 5 Dl.O(d1) = 11134804,11134805,14896838,10243208,10243209,254135080 Dl.O(d2) = 48603608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 438891, s2 = 7978830, dlinesl.size( ) = 2 s1 = 438891, s2 = 7978830, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 438891, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 8244406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1037275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13364041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1324378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1324378, s2 = 322999, int(edited[s2]) = 0 s1 = 1324378, s2 = 322999, d1 = 34, d2 = 36 Dl.O(d1) = 33317001,42297626,34099092 Dl.O(d2) = 8077833,11969411,11969412,255145909,8046203,5136332,3123229,1825558,1042071,1042070,1825489,1042025,1042027,1049517,1055359,1055360,1822034,1822028,254386215,267989707,5136722,3123495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1324378, s2 = 322999, dlinesl.size( ) = 2 s1 = 1324378, s2 = 322999, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1324378, Dl.E( ) = 48, 2.29e-05 seconds used appending s1 = 1354467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9342961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1354862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1354862, s2 = 6628543, int(edited[s2]) = 0 s1 = 1354862, s2 = 6628543, d1 = 69, d2 = 69 Dl.O(d1) = 34106414,256699080 Dl.O(d2) = 34106414,256699080 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1039367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1357159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 768550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1358151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7928460, s2 = 13295060, int(edited[s2]) = 0 s1 = 7928460, s2 = 13295060, d1 = 33, d2 = 31 Dl.O(d1) = 29143892,29158335,34209562 Dl.O(d2) = 37720237,37703748,34210023,26336200,26336199,21847727,21834650,15765751,10918928,10918913,7221453,7221449,10918905,255058322,29142350,21871237,21835055,21835054,19608599,19608598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7928460, s2 = 13295060, dlinesl.size( ) = 38 s1 = 1865455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1865455, s2 = 11186774, int(edited[s2]) = 0 s1 = 1865455, s2 = 11186774, d1 = 10, d2 = 14 Dl.O(d1) = 48429660,38521982,29956943,22592483,16409491,268229817,36716760,28223690,28223689,36716758,37303053,34215163,26341490,26341489,34215161,30555788,23138370,16878117,255305308,30555791,39153476,49083568,53834382,51182855,51182856,59878348,270334215,72325148,72325149 Dl.O(d2) = 73324402,270874009,73324401,86934330,260068759,114969499,260667983,272585029,201612978,207486146,273581510,123013619,260734946,258277110,14235975,255732101,34683000,259138561,108744636,108744635,108744636,262621162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1865455, s2 = 11186774, dlinesl.size( ) = 2 s1 = 1865455, s2 = 11186774, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1865455, Dl.E( ) = 18, 1.12e-05 seconds used appending s1 = 6871377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6871377, s2 = 11066778, int(edited[s2]) = 0 s1 = 6871377, s2 = 11066778, d1 = 56, d2 = 41 Dl.O(d1) = 259473866,34219124,36490058,28027526,20860235,16623757,14171619,14171615,14171623,14171622,15395598,21377310,26162624,26162625,22215600,22215597,16619524,16619525,13591828,13591831,19040592,25659627,22762184,16620623,16620620,11593456,11593455,11534886,7717384,4884551,4884553,4855834,2926240,1697460,965198,543878,304768,168706,168705,304764,543871,965185,1697441,2926206,4855760,7673937,11534846,16549261,22761763,30149051,38730721,38816442,30233166,30233165,38816440,35119076,35119077,39518281,256186106 Dl.O(d2) = 130069613,258007190,40228842,256279464,269764545,46425744,255792072,40228842,254710836,12509273,12509274,17687398,24039127,255366458,22974184,268201314,12312551,12312553,17375935,17373126,12241185,8318071,254401257,1940858,1940859,3299867,5367535,8318074,12239279,12228338,12228337,12311003,255171767,8318208,5367654,5367655,254353991,1647677,1647676,2840457,4715042,254774273,16174129,17835167,17798092,12598642,8549701,8549700,12598641,17414576,16890671,11819420,11819419,255463715,11230653,11230654,16163665,11232440,7453719,7453306,4709436,2836984,2836983,4709432,5564953,5564951,8569253,12581652,17777333,254978302,255262311,12274669,255168375,23739744,25463915,25466176,18866048,13442900,9192189,6017697,3764474,2255472,1309046,747297,424639,424636,747288,1309028,2255439,3035394,1766765,1766763,3035387,5017485,7896555,7896558,7896559,6015228,3762545,2254119,1308238,254204585,3762544,3763781,2255083,1308838,747197,747192,747193,652811,361987,361988,652817,1163319,2031259,2253371,2253372,2253283,254147105,424264,424263,746548,1307702,1993399,1307583,746491,424238,239513,132426,132427,239521,424254,746525,1307656,2253186,2030993,1163156,1163152,254280255,2051211,2043806,1987301,1987303,2252946,3760937,2253343,1307747,1307745,1770217,254188401,637199,353888,353887,364329,657180,1170885,254281703,3443044,2038155,254282643,660280,254139663,2050761,3458888,254559265,3385297,3385298,2029144,2029145,3431487,3410639,3410638,2032441,2032442,3435840,5550862,5501870,5501869,5505021,3780954,2264863,2264864,2061353,1183040,1183039,2031581,1163550,652953,652952,1163548,2031577,3434487,2037454,1167281,1167280,2000186,1162734,1162735,2030376,2038250,3443145,2061892,1705713,1705711,1767168,1767170,1142764,1142763,1989368,1136702,640661,640659,640651,640650,1142065,254193343,3391080,1998308,1142171,640724,640725,1142173,1998312,254411781,2061456,2061459,3378369,3438988,2034700,2034697,254184649,1105746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6871377, s2 = 11066778, dlinesl.size( ) = 34 s1 = 8197521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8197521, s2 = 9490873, int(edited[s2]) = 0 s1 = 8197521, s2 = 9490873, d1 = 13, d2 = 11 Dl.O(d1) = 254281812,5339690,3282119,3282120,5339432,5339431,5328597,3275344,1926503,1100739,1100741,1926516,3275371,5328637,8259405,12231819,17361628,23681856,28752497,28752496,23748063,17743502,12554638,8512060,8512059,12554632,17743494,12554644,12554643,17743512,14124956,14124957,19699946,23419020,17142783,17142784,17729704,17780837,17780835,267899500,74668468,88293551,102286331,116375533,130210117,143536350,258198702,123734098,260662260,55423616,55423617,257286917,19814071,14192934,9756803,9756802,9977851,9977850,14500378,9977852,6558157,254474123,254474125,254693987,256754097,55423617,257885086,270548229,64999177,61402392,49922656,46399370,36538466,28071429,20899952,14995594,10326293,6795050,6795048,4477077,4477078,7110630,255043259,21582768,28855450,37396239,47305733,47306116,37397929,28857099,23144350,16884256,255964189,28854248,28854249,256167162,255845961,23313125,17050368,17050371,23313136,21582852,15558780,10761792,10761793,15558786,21582871,28855583,31100727,23616693,17303380,17303378,22105057,29438072,38001049,31100357,23616485,270317656,72046177,72046176,61277971,61277954,49798620,39778811,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413771,29437663,22104826,15994066,11103068,7363185,7363186,11103071,8212907,8212906,12181205,17303472,17303440,17303441,23616803,31100879,39779417,39779964,31101392,23617175,23617174,31101389,39779960,49799509,61278358,49799744,49336657,39407296,255976940,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208079,39407420,39407342,30802718,23375043,255981271,31101554,31101555,25455815,25455816,33202716,33208210,25460444,18860438,13437672,13437671,18860435,25460436,33208202,39407272,30802664,23375002,17105578,12019725,8079025,8079026,12019728,17105586,23375016,30802688,33207919,33205115,33205114,33207246,33207247,30802630,23374985,23374984,18860377,13437630,9187153,9187154,13437634,13435298,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,255147435,23375052,256483205,49336702,60739950,72082331,59349010,47958197,38045072,29481889,29481888,30894673,23461689,23461690,30894675,39502039,49433217,60835136,52785216,42386060,42386059,52564150,64439426,64439343,64439344,53882099,43357674,34257786 Dl.O(d2) = 9685455,9685456,255307017,26380192,34257789,257267791,53882100,43357675,43357676,257862457,79313189,93443931,107871586,122284702,136258093,122284711,122284710,127673414,113805499,99791667,99791668,259995423,85838969,258129377,48125143,48125142,59512666,258752429,259995421,113805501,99791669,85838970,72247119,59512668,59512667,49302712,49302713,60704551,73452821,87070287,100452834,86524354,72926133,60186895,48790441,38868347,30282634,22884969,16656241,11623805,11623806,16656244,22884975,30282639,30282638,38868350,30476945,23066513,23066512,255645532,33377032,25611949,25611947,28485715,21269158,15307650,10571247,9699818,9699819,10590281,10590280,10559069,6964173,6964175,10559075,9940103,6533218,6533216,254977859,20142840,27035754,256748161,44500787,55347141,55347150,44500796,269193419,44500794,44500795,55347148,258533983,95209822,81152707,259162929,109464378,123656878,123656879,137388021,150427949,154609092,156112345,143575890,130247341,116410387,102318003,270829212,86689811,74694811,74694810,86689806,86689808,86689799,73085869,60346512,60346513,73085870,86689801,100662501,100662502,260653341,129856971,115959574,259358322,258109556,78654933,85555133,71967752,71967750,71967751,85555131,99501675,113512871,127382839,140738776,135239677,127231226,113373173,99372642,99372641,107092899,92752565,258455097,53380544,42914161,42914162,53380545,59401739,48014536,48014538,59401740,57620353,46275924,36423254,36423255,42163236,33203324,25456355,25456356,268746221,44497125,254228802,20139853,254228800,44497122,255855800,85134263,257471064,112270231,112270232,258846192,99786221,99786222,92463939,92463935,92463934,92463938,92463937,99786225,85833379,72241331,72241330,78427760,65145835,256840964,33682036,33682037,42711953,47792420,37867949,37867948,33682042,255813128,65145838,70314569,70314568,83839456,70314561,70314560,258283744,257091620,36426259,27967490,255195208,10252377,6736565,6736564,10252374,9322406,9322405,6132646,6132648,4575761,2753013,2753015,4575765,7255271,7493075,267888869,4627710,7326816,11026650,7300851,7300852,8170495,5298432,3249319,3249321,3249294,3249295,5298391,5304536,5304532,8232509,5462696,3446248,3446249,5562277,3446223,3446222,3446229,5562287,4575696,2752966,1595919,1595918,2752964,4575692,5301654,8230223,8243358,12204187,15613774,12161302,8191544,5260884,3216163,2257165,1310022,747833,424972,424973,747836,1310024,2257172,3767268,5238748,3197949,3197950,1887603,1076988,1076989,604923,600169,334347,334349,600176,1067906,1872206,3198323,5239178,7895713,7895714,8197944,11026674,7300898,7300899,7313233,4616329,2779823,1612598,917390,517543,290358,290359,254164303,2779839,4616356,7313262,5240264,5240262,8171148,5265956,3220823,1887518,1887519,3220825,5265959,8195861,8358357,12369507,16768143,16768142,16231684,11284205,11284206,12276262,12276261,17417582,17656237,12485644,8456775,5464296,5464297,8456779,12485649,17319088,17319089,23634927,24000471,24000470,31497993,40182757,258273487,270907651,259391242,113798609,259465880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8197521, s2 = 9490873, dlinesl.size( ) = 8 s1 = 1360599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 326390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 314035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8368312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13169327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13169327, s2 = 1167676, int(edited[s2]) = 0 s1 = 13169327, s2 = 1167676, d1 = 20, d2 = 34 Dl.O(d1) = 34318563,34318564,26897211,24195407,17826170,17055100,11964403,11964405,12540667,17725517,24060594,17705699,17705698,24060592,31566116,34318565 Dl.O(d2) = 37379823,28839607,23041402,23041401,20011455,20011456,26892725,25077755,18534633,13169513,13169512,18534630,22375034,16219320,16219321,22375036,29732505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13169327, s2 = 1167676, dlinesl.size( ) = 2 s1 = 13169327, s2 = 1167676, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13169327, Dl.E( ) = 42, 1.79e-05 seconds used appending s1 = 13160645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13160645, s2 = 10146546, int(edited[s2]) = 0 s1 = 13160645, s2 = 10146546, d1 = 11, d2 = 8 Dl.O(d1) = 24132821,17769298,12574844,12574843,17769293,24132813,20152084,14456239,11235553,7456633,7456634,11235559,16167950,19053503,19053500,20149634,14454307,9944374,6535875,6535837,6535836,6535913,6535922,6535921,9944448,14454454,20149822,22313430,16167913,16167910,17799231,17799229,17799137,17799135,17799209,17647875,12475487,8445500,8445499,10421440,10421439,15109087,20148588,255086496,26444546,29096855,21799399,19706063,14129585,14129586,17362006,17362007,23682300,29093936,24166385,24166382,254184384,15737821,17650158,17650159,23994229,18396703,18396702,14095435,14095436,19664170,24214720,21192930,21192929,28414683,267949296,26385039,19650563,14084974,9688286,8915201,5817929,3629251,3629252,5817934,8915213,13082883,18419078,14229179,14229181,19860691,26390148,26390146,29726932,22370274,22370273,16575813,11556810,7690404,7690405,11556815,11268283,11268285,16210086,22363575,22598023,16415001,14086724,11548441,11548443,14096033,9695010,6376389,6376388,9694977,14095970,12030111,8087640,5181783,3161591,3161590,5181778,8087634,8088651,12031721,17121105,19658191,16220810,16220811,19651609,19656782,19656783,26391178,26391330,19656928,19656930,26391334,23253662,23253661,28739605,26653055,19839567,19839568,26653059,22103317,15992988,11102325,7362670,4650631,4650629,7362665,11102312,15992967,16565428,11547293,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,10454536,15159469,14093397,14093399,19661627,16704244,11664167,11664166,16582040,16582042,12297567,8305611,5358827,3294057,1937321,1937322,3294063,5182669,8089324,12032780,17122465,254093496,21104802,21104801 Dl.O(d2) = 58067215,70784865,84343905,84343906,256637326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13160645, s2 = 10146546, dlinesl.size( ) = 2 s1 = 13160645, s2 = 10146546, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13160645, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 9378176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10242610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13660793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8644614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7635755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7635755, s2 = 11534316, int(edited[s2]) = 0 s1 = 7635755, s2 = 11534316, d1 = 40, d2 = 25 Dl.O(d1) = 270328260,30818359,31793581,34578541,34578542,37580628,29033348,257473837,258707531 Dl.O(d2) = 265144425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7635755, s2 = 11534316, dlinesl.size( ) = 20 s1 = 14064383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2099251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7980543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7980543, s2 = 8441032, int(edited[s2]) = 0 s1 = 7980543, s2 = 8441032, d1 = 6, d2 = 6 Dl.O(d1) = 28580672,21351170,15375120,10624336,7012091,7012089,10624329,15375107,21351154,28580663,28668434,21421884,15430797,10667629,9128415,9128416,13357057,10623604,10623603,15374229,21350173,15430478,15430477,21421521,28667996,22950120,16713303,11671569,10723763,7084997,7084998,10723765,15506175,11671608,11671609,16713364,16713392,22950210,255644054,34612458,26623426,19812917,14191844,9755879,6414703,268735680,26623417,259133321,108656550,260786976,103416112,259266206,8719303,254886837,18089925,24521523,32096775,40868556,43138970,44872613,47004810,47004809,50005770,61484100,55256674,55256673,60175109,60175108,72911959,260043645,259681982,258428152,30433624,23027331,255956349,39023158,48946047,60342906,73082686,86686863,258445224,52643824,52643825,52712075,62669043,57983804,46606801,36718592,36718591,34252871,26375676,26375677,34252872,33343987,31989341,24434140,24434141,31989343,40738205,35842752,27574635,20545105,20545104,27574633,35842748,45458503,51040685,51040684,62427879,54611762,43869008,34598697,26611660,19803691,19803694,26611667,34598707,43869020,47741915,47741917,59140550,58154546,46787075,36909451,28412111,28412110,36909449,43192432,37494337,29254229,29254228,37819559,42769183,42769182,37819554,37819555,47741913,269527727,33739243,25932198,19269957,255694903,257236721,65204839,258471345,269135197,43203761,53716105,259100783,68051289,257328823,39878566,39878567,49900051,257639301,256509921,31197290,39878573,49900057,44746587,35320823,27197387,256235081,25049049,256100781,41648416,260028265 Dl.O(d2) = 28580672,21351170,15375120,10624336,7012091,7012089,10624329,15375107,21351154,28580663,28668434,21421884,15430797,10667629,9128415,9128416,13357057,10623604,10623603,15374229,21350173,15430478,15430477,21421521,28667996,22950120,16713303,11671569,10723763,7084997,7084998,10723765,15506175,11671608,11671609,16713364,16713392,22950210,255644054,34612458,26623426,19812917,14191844,9755879,6414703,268735680,26623417,259133321,108656550,260786976,103416112,259266206,8719303,254886837,18089925,24521523,32096775,40868556,43138970,44872613,47004810,47004809,50005770,61484100,55256674,55256673,60175109,60175108,72911959,260043645,259681982,258428152,30433624,23027331,255956349,39023158,48946047,60342906,73082686,86686863,258445224,52643824,52643825,52712075,62669043,57983804,46606801,36718592,36718591,34252871,26375676,26375677,34252872,33343987,31989341,24434140,24434141,31989343,40738205,35842752,27574635,20545105,20545104,27574633,35842748,45458503,51040685,51040684,62427879,54611762,43869008,34598697,26611660,19803691,19803694,26611667,34598707,43869020,47741915,47741917,59140550,58154546,46787075,36909451,28412111,28412110,36909449,43192432,37494337,29254229,29254228,37819559,42769183,42769182,37819554,37819555,47741913,269527727,33739243,25932198,19269957,255694903,257236721,65204839,258471345,269135197,43203761,53716105,259100783,68051289,257328823,39878566,39878567,49900051,257639301,256509921,31197290,39878573,49900057,44746587,35320823,27197387,256235081,25049049,256100781,41648416,260028265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7980543, s2 = 8441032, dlinesl.size( ) = 2 s1 = 7980543, s2 = 8441032, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7980543, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8441033, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1050336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1050336, s2 = 8110349, int(edited[s2]) = 0 s1 = 1050336, s2 = 8110349, d1 = 4, d2 = 17 Dl.O(d1) = 26676703,255317377,796615,796614,1399578,2417727,4034422,6430822,9781040,14228000,17568499,23911569,254666774,26695014,19874874,19874875,26695016,257292935,257287063,34617239,26627634 Dl.O(d2) = 26627654,26627648,19816576,19816575,257287061,34617237,34617236,28951082,21671192,15634296,268607724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1050336, s2 = 8110349, dlinesl.size( ) = 16 s1 = 10160455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 811709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 811709, s2 = 14553620, int(edited[s2]) = 0 s1 = 811709, s2 = 14553620, d1 = 23, d2 = 35 Dl.O(d1) = 21089645,255807783,19014922,13571060,13571062,19014925,22452260,23185108,16919317,16919316,15860012,10992712,7276951,4589189,4589188,7276948,10992708,15860057,15976490,11090761,7355401,4646343,4646342,7355398,11090755,255448571,29412712,34633488,26642818,26642817 Dl.O(d2) = 55350300,47162689,37257328,28725801,28725800,36557975,46421396,39097570,30501539,30501538,259339567,59019461,47628315,47628316,59030495,71772968,85362580,87230128,257825542 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163616, s2 = 8215661, int(edited[s2]) = 0 s1 = 14163616, s2 = 8215661, d1 = 1, d2 = 1 Dl.O(d1) = 125628706,261057381,125628706,111814446,258632954,84013380,84013016,84013015,84012899,77540472,77540473,91472534,105697625,119932092,105695869,259029805,77538540,84011175,70477475,57777620,47085009,268613817,21421627,15430569,255403005,28668120,37189552,47085007,58463080,71185036,64367583,52494481,52494480,269346388,71411455,58677445,47286220,255099132,21564933,268073679,4471435,2880838,2686079,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,2687050,4472084,4472083,7103054,10751171,7104172,4472719,4472720,7104178,4777524,4777523,7555126,7757588,11644280,16353092,11379833,7560453,4780705,2880916,1671754,1671755,2880923,4780717,7560474,11379866,12175768,17297257,16342365,11370935,7554233,7554232,11370933,16230422,11376594,11376595,8205865,8205786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,29749230,22530677,16358075,16358076,22530679,16358094,16358095,22530699,29859749,22505935,16332076,14434425,9929136,9929137,14434428,20126304,23633192,20123689,14431986,9927423,9927424,14431988,20123690,23571034,22487631,22487630,22514125,17295053,17295054,21566481,16315935,16315933,12204210,12204207,12349483,12349509,17292214,23605264,31089763,36809804,31053440,23569590,17258343,12138501,12138500,16320439,16320440,254392534,15909338,22010890,21569978,15547645,15547643,254837008,267887352,22497643,16323517,11356419,11356421,12178459,8210094,6232525,6232522,9502138,9502135,13851379,16230824,11283422,11283421,8076116,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,21568541,17235635,12117301,8148267,8148265,11351188,11351187,16310945,16310944,22482427,16494009,11491903,7643284,4835394,2913589,2913588,4835391,7643280,11343382,7538215,7538214,11343378,15918192,16319152,254577336,15559423,10762172,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,10587430,6984213,6984212,254577270,21296030,28517131,254347496,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775120,267892152,15330210,10588051,10588052,15330213,17285200,17285199,15329216,15329215,16736794,11693219,7798664,4945462,2984833,1732932,1732931,2984830,4945454,7798646,11693180,16736734,22357132,22357131,23589758,17278085,12157705,11370877,11370199,11370200,11370883,11380617,11380618,16353993,22526860,29307007,21979443,15884339,12205981,8237888,5310400,5310401,8237891,11370864,11370865,14434245,14432421,11370570,7553999,4776921,4776924,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765158,3217261,4773572,4773573,7547876,11360792,9108522,8219843,8219842,9108004,13330001,18725197,267842166,31145422,39827591,49851051,255548994,39390561,254777486,29861852,23632160,17316153,12191503,12191501,17313946,12191493,12191491,17316130,23632130,22503519,22503518,254840492,49848645,46895384,46895385,38049511,38049512,29841465,29841467,33025540,25299377,25299378,29846521,38416117,48325548,48326856,48323456,267912460,29839361,36783634,36783633,36784006,28287601,21081526,15142875,15142870,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983887,10586780,15327995,21294542,22516055,16342606,16342605,22516054,22475825,22475824,29842868,38413988,37918717,29350362,22018667,22018666,29350357,37918710,30374922,22973574,254180814,7798742,7798741,11693358,16737005,12138818,8168655,8168657,12138822,11382439,7562247,7562246,254347266,11370801,267888156,8343690,5385395,3311616,3311617,5385398,8343697,12349583,17513134,23856441,22512525,16338720,11368089,11368090,16338566,12171738,11360188,11360186,16328758,11360494,7547703,4773496,2877242,2877244,4773501,7547718,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551087,11365816,16335609,17284243,23596459,23362761,23362760,22510881,16337085,16337086,16336806,254582418,16320868,16320870,22494503,22501238,22456857,16289002,11332389,11332390,7550810,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,2336945,2336947,2337050,2337046,3902246,4736412,4736411,7493152,11286428,16234475,22394523,29755220,38324802,48234722,59621706,72356436,85951674,99909317,113931973,114273674,100242113,100242114,114273676,114273631,102491075,102491070,88484351,74848641,269415075,50558062,62050465,62050442,62050443,62050463,74848637,88484347,102491064,102491069,88484359,74848653,62050470,62050471,74848608,74848669,74848668,88484378,102491096,256755012,95266777,95266778,99303727,85358602,71768346,67745594,55405873,55405874,59024651,59024650,61719457,74500903,71768341,71768342,85358596,270663300,259072377,106800708,261476335,160228562,171447504,162120159,261537030,259763328,80332529,66905894,54649232,43906826,34634002,26643188,19830109,19830108,26643187,34634001,43906824,54649227,66905888,74077300,61295555,256835480,77758172,64575546,52675420,255407948,25547557,255407952,52675422,57622709,46278269,36425492,27966918,20804387,20804388,27966920,33962428,43020037,53499398,65525008,78861086,92973284,92977378,97695608,83838002,70313154,70313155,66921438,257896288,84871517,71297138,257896286,53733385,257296726,53733406,54664145,54664124,43921553,34648393,34633742,26643004,26643005,19830008,14205093,9765155,9765153,14205091,19830004,26643024,34633760,37657933,29108118,21809318,255055956,10906577,15747584,21809313,23037830,23037850,21809378,21809376,20847925,20847924,28013670,36474111,46329523,57676307,70367961,83892505,83892503,83892502,259866383,125469581,125469580,263056791,192375558,199672317,205844677,210950187,210950189,205844678,199672319,192375561,183901239,183901238 Dl.O(d2) = 125628706,261057381,125628706,111814446,258632954,84013380,84013016,84013015,84012899,77540472,77540473,91472534,105697625,119932092,105695869,259029805,77538540,84011175,70477475,57777620,47085009,268613817,21421627,15430569,255403005,28668120,37189552,47085007,58463080,71185036,64367583,52494481,52494480,269346388,71411455,58677445,47286220,255099132,21564933,268073679,4471435,2880838,2686079,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,2687050,4472084,4472083,7103054,10751171,7104172,4472719,4472720,7104178,4777524,4777523,7555126,7757588,11644280,16353092,11379833,7560453,4780705,2880916,1671754,1671755,2880923,4780717,7560474,11379866,12175768,17297257,16342365,11370935,7554233,7554232,11370933,16230422,11376594,11376595,8205865,8205786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,29749230,22530677,16358075,16358076,22530679,16358094,16358095,22530699,29859749,22505935,16332076,14434425,9929136,9929137,14434428,20126304,23633192,20123689,14431986,9927423,9927424,14431988,20123690,23571034,22487631,22487630,22514125,17295053,17295054,21566481,16315935,16315933,12204210,12204207,12349483,12349509,17292214,23605264,31089763,36809804,31053440,23569590,17258343,12138501,12138500,16320439,16320440,254392534,15909338,22010890,21569978,15547645,15547643,254837008,267887352,22497643,16323517,11356419,11356421,12178459,8210094,6232525,6232522,9502138,9502135,13851379,16230824,11283422,11283421,8076116,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,21568541,17235635,12117301,8148267,8148265,11351188,11351187,16310945,16310944,22482427,16494009,11491903,7643284,4835394,2913589,2913588,4835391,7643280,11343382,7538215,7538214,11343378,15918192,16319152,254577336,15559423,10762172,7110837,7110835,10762166,11544872,16562528,22530271,28515811,28517170,21296068,15329075,10587430,6984213,6984212,254577270,21296030,28517131,254347496,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775120,267892152,15330210,10588051,10588052,15330213,17285200,17285199,15329216,15329215,16736794,11693219,7798664,4945462,2984833,1732932,1732931,2984830,4945454,7798646,11693180,16736734,22357132,22357131,23589758,17278085,12157705,11370877,11370199,11370200,11370883,11380617,11380618,16353993,22526860,29307007,21979443,15884339,12205981,8237888,5310400,5310401,8237891,11370864,11370865,14434245,14432421,11370570,7553999,4776921,4776924,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765158,3217261,4773572,4773573,7547876,11360792,9108522,8219843,8219842,9108004,13330001,18725197,267842166,31145422,39827591,49851051,255548994,39390561,254777486,29861852,23632160,17316153,12191503,12191501,17313946,12191493,12191491,17316130,23632130,22503519,22503518,254840492,49848645,46895384,46895385,38049511,38049512,29841465,29841467,33025540,25299377,25299378,29846521,38416117,48325548,48326856,48323456,267912460,29839361,36783634,36783633,36784006,28287601,21081526,15142875,15142870,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983887,10586780,15327995,21294542,22516055,16342606,16342605,22516054,22475825,22475824,29842868,38413988,37918717,29350362,22018667,22018666,29350357,37918710,30374922,22973574,254180814,7798742,7798741,11693358,16737005,12138818,8168655,8168657,12138822,11382439,7562247,7562246,254347266,11370801,267888156,8343690,5385395,3311616,3311617,5385398,8343697,12349583,17513134,23856441,22512525,16338720,11368089,11368090,16338566,12171738,11360188,11360186,16328758,11360494,7547703,4773496,2877242,2877244,4773501,7547718,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551087,11365816,16335609,17284243,23596459,23362761,23362760,22510881,16337085,16337086,16336806,254582418,16320868,16320870,22494503,22501238,22456857,16289002,11332389,11332390,7550810,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,2336945,2336947,2337050,2337046,3902246,4736412,4736411,7493152,11286428,16234475,22394523,29755220,38324802,48234722,59621706,72356436,85951674,99909317,113931973,114273674,100242113,100242114,114273676,114273631,102491075,102491070,88484351,74848641,269415075,50558062,62050465,62050442,62050443,62050463,74848637,88484347,102491064,102491069,88484359,74848653,62050470,62050471,74848608,74848669,74848668,88484378,102491096,256755012,95266777,95266778,99303727,85358602,71768346,67745594,55405873,55405874,59024651,59024650,61719457,74500903,71768341,71768342,85358596,270663300,259072377,106800708,261476335,160228562,171447504,162120159,261537030,259763328,80332529,66905894,54649232,43906826,34634002,26643188,19830109,19830108,26643187,34634001,43906824,54649227,66905888,74077300,61295555,256835480,77758172,64575546,52675420,255407948,25547557,255407952,52675422,57622709,46278269,36425492,27966918,20804387,20804388,27966920,33962428,43020037,53499398,65525008,78861086,92973284,92977378,97695608,83838002,70313154,70313155,66921438,257896288,84871517,71297138,257896286,53733385,257296726,53733406,54664145,54664124,43921553,34648393,34633742,26643004,26643005,19830008,14205093,9765155,9765153,14205091,19830004,26643024,34633760,37657933,29108118,21809318,255055956,10906577,15747584,21809313,23037830,23037850,21809378,21809376,20847925,20847924,28013670,36474111,46329523,57676307,70367961,83892505,83892503,83892502,259866383,125469581,125469580,263056791,192375558,199672317,205844677,210950187,210950189,205844678,199672319,192375561,183901239,183901238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163616, s2 = 8215661, dlinesl.size( ) = 2 s1 = 14163616, s2 = 8215661, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163616, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 1366932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6630290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1714394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6630473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6630473, s2 = 10470777, int(edited[s2]) = 0 s1 = 6630473, s2 = 10470777, d1 = 43, d2 = 49 Dl.O(d1) = 115000356,128902245,142253525,136799063,122968806,108703516,94416526,80362852,66937293,54680938,256726821 Dl.O(d2) = 4296300,6847022,254683974,20976469,28155486,36629528,46496197,46496198,57852043,70553445,84089967,84089968,257896314,57852044,257296776,70553446,84089970,84089971,97963661,111901112,125718566,117699528,103564666,89466416,75701504,62754586,51123385,40981193,32201157,254353208,18163940,12881770,8761376,5704755,3550090,2114297,2114296,3550084,5704744,8761354,12881735,18163978,24612776,29134349,29134348,29815695,22447692,22447694,29815701,22449609,22449608,19812103,19812102,26622360,34611282,39033170,30805968,23377842,20135903,20135901,24612797,24612798,29816290,29816254,22448340,22448339,24901527,23036338,23036340,29579421,24612881,18164068,254166142,32201306,40981296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6630473, s2 = 10470777, dlinesl.size( ) = 2 s1 = 6630473, s2 = 10470777, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6630473, Dl.E( ) = 52, 1.41e-05 seconds used appending s1 = 13261587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13261587, s2 = 271525, int(edited[s2]) = 0 s1 = 13261587, s2 = 271525, d1 = 18, d2 = 35 Dl.O(d1) = 14226069,14226070,19856823,19864398,14231845,9783390,9783391,13426444,18844712,25441237,33186595,42145947,34676609,26682989,26675878,26675877 Dl.O(d2) = 50405209,40369785,31675284,24165773,17798026,12598576,8549652,8549653,12598578,17798032,24165781,31675297,256524084,36538220,28071234,20899788,14995469,10326214,6795003,4260525,4260524,6795000,10326210,14995463,20899785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13261587, s2 = 271525, dlinesl.size( ) = 2 s1 = 13261587, s2 = 271525, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13261587, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 7844354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 557126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 557126, s2 = 8416415, int(edited[s2]) = 0 s1 = 557126, s2 = 8416415, d1 = 34, d2 = 39 Dl.O(d1) = 14229470,9781986,6431364,4034706,2417879,1399665,796668,254152289,254313745,6431335,9781942,14229404,19860968,26678585 Dl.O(d2) = 115962174,101918319,257314110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 557126, s2 = 8416415, dlinesl.size( ) = 26 s1 = 13265159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657292, s2 = 10163098, int(edited[s2]) = 0 s1 = 11657292, s2 = 10163098, d1 = 11, d2 = 9 Dl.O(d1) = 256460945,49029895,42643219,42643216,42643217,53093178,53093179,42643218,39100848,39100849,49029897,60433647,60796168,49395515,39467025,30863063,30863064,33616185,25816316,25816317,33616187,39100854,49029878,60433619,60433650,60433649,65077806,78358319,78358323,73180550,60433635,49029888,49029887,60433634,60433642,60433623,49029881,39100837,30504669,30504670,39100838,49029883,60433627,60433622,258193893,73180553,73180552,64250494,257416702,86792993,77400445,64250503,62657172,51030560,51030559,42051093,42051092,44369257,34990888,26909837,20026031,20026030,26909836,34990885,44369251,51030563,62657173,61434559,49956888,39940096,31265325,23780368,23780369,31265328,39940101,49956893,61434562,50239323,40219232,40219233,50239325,61718262,50239544,40219466,31533595,31533368,24031219,17680564,17680565,24031221,256536561,50239289,40219196,40219197,31533390,31533391,27231757,27231756,24031256,17680589,12503810,8470238,8470239,12503813,12503838,17680604,17680603,24031182,17680536,17680537,23007203,17910354,255276392,24292183,24031228,24031227,31533379,29697904,22344203,22344204,17680544,17680543,24031193,29698025,29697903,22344202,22344201,27217040,31111983,31111982,39792499,32412665,32412664,40219206,31533342,31533343,255999346,24779103,22344318,22344317,18298564,12988639,12988640,18298566,24779107,24894454,32542750,32542766,32454295,24817860,18327301,18327300,18392846,18392845,18392831,13064175,8902142,5808960,3623320,3623319,5808958,254634143,13064222,13116044,13009658,8857203,5772875,3596203,2144610,1238920,702681,702682,254199243,3596220,2187188,267808893,5857705,5857704,5857709,254294511,2187189,3656573,2187187,1268892,724642,411719,411720,724644,1268896,2187193,3656582,5857722,8973090,8973089,13164390,12988646,12988645,18298575,24779121,32248441,32248442,41041181,51197171,62846517,59456115,256754562,256102265,18528368,13164384,8973085,8973084,13164380,268288819,256616419,32767359,41227212,41227211,34132807,26266255,26266254,34132804,43220687,257015582,32767355,32454299,24817863,18327304,18327305,24817865,25070568,25070569,32767330,256470848,31533533,25070572,25070571,32767333,41683483,41227215,32403037,256083879,24779138,32403041,32403043,255626131,12988657,8842273,5762575,5762574,8842271,12988653,18298585,256083877,32248424,32248423,31177282,23688219,17366565,12903588,12903589,18192577,24649771,32248419,41041150,50239483,41041160,41041159,51197150,62846503,74145200,258960067,87749625,87749626,84334638,70776102,62846496,51424309,51424310,58328559,71043938,73985705,61206333,258235463,87586302,98241629,87749627,270377774,75810036,74499848,257667079,50239477,50239480,40375620,31682328,256546565,49883319,49883320,61364715,71152023,58430621,58430622,71152024,74499838,61718401,50239460,46807460,36929107,36929108,31177348,31177347,39860111,49883300,61364698,74145257,61900497,50410084,50410085,61900498,74694107,88321675,102317403,98355931,87769259,74164573,61383954,61383952,74164571,74164568,61383947,61383946,74164554,61383930,49903408,49903407,49903418,49903419,257639607,257639605,72911655,61383945,61383940,61383941,74164564,72911667,72911666,74164557,61383935,61383934,74164555,72911657,72911658,86508087,86508079,86508080,100466000,259806048,259179908,72911663,72911662,86508090,98429768,258551168,70944668,58227444,268915259,28484179,36981082,256849587,28484188,28484189,36981095,46859660,58227467,58227471,256849591,36981097,46859662,58227470,52705427,42318203,42318204,36981090,36981091,46859655,58227454,64605992,52705418,52705417,64605990,64606008,64605999,64606000,64606004,52705428,52705429,64606005,64605997,64605998,64605988,258417177,70944684,84508280,84508265,70944670,58227450,46859653,36981089,28484185,28484184,28484181,21267739,21267740,28484182,21267745,21267746,28484195,36981101,31643483,24136781,24136780,31643481,40332209,50359148,257313646,46859646,36981083,36981084,46859647,52705412,64605986,77788869,259454508,91539326,85546210,77610066,64441855,64441854,77610064,91539324,91539328,257019132,255973236,47324735,37416208,28874571,254818498,39358513,39968318,39968317,31294080,23808420,17475219,17475218,23808418,17475517,12320866,12320867,17475519,17475590,12320913,8322177,8322176,255172727,23808963,31294732,39968743,255272650,39968540,31294283,31294282,23808725,17475409,12320783,8322075,8322076,8322310,12321100,15786020,21858121,23808865,17475522,255561691,23808968,255629316,39969059,49985132,47821964,37900115,29331495,22000849,15901079,15901080,22000851,29331498,37900119,47821971,59220128,47821965,47821966,43956692,34681527,26687278,19868288,19868289,26687280,34681530,34681525,26687276,26687275,34681523,269175161,54700820,54700821,59220130,71958440,66960195,258509487,66960196,54700823,257890475,60836958,59220133,59220134,71958442,59220132,257036049,30896865,30896866,256490791,23463601,23463602,30896870,39504271 Dl.O(d2) = 47735154,39504277,30896871,23463603,255988351,39504275,49435224,42058524,33109288,25373983,25373984,33109289,33109295,25373988,25373989,256637889,52402459,59036715,59036714,59036704,59036703,47634490,37712256,37712255,47634488,257481085,47634475,59036695,59036713,71779144,73128082,86733839,99313819,85368894,85368889,258814545,60387652,60387651,73128084,259438749,101605223,87638504,87638503,258862091,74035005,87638506,101605225,258876348,100654913,258253772,87638513,86682303,73077948,61441573,49963343,39946389,39757524,39757522,49776214,255559926,31565590,31565589,40253034,50274363,50274356,40253030,40253031,50274358,47503863,47503862,40128834,31449128,23956601,17609466,254855645,8400941,254855643,8400910,12429805,17609358,23956439,17610507,17610506,17610510,18440677,13099206,8927253,5826559,3635476,2172119,2172120,3635480,5826566,8927258,8400882,8400881,12429759,17609294,23956377,24958379,24958380,23956507,17609406,17609405,23956501,29415271,22084948,15978740,15978739,22084944,29415264,23965238,23956762,23956761,20121995,20121996,18440798,13099281,8927302,8927303,13099286,18440806,17609329,17609330,23628858,17609872,17609629,17609628,22084953,15978746,15978745,22084951,24957876,24957875,24957878,18440663,18440664,24957880,32625681,41509259,47929877,40129196,31449439,23956835,23956833,31449435,40129067,40128988,40128987,32626069,32626068,40144242,40128613,31449032,23956534,17609417,12429846,12429848,12429926,17609580,18440954,13269659,13269657,18661223,25229650,32948787,41883137,50150091,40128999,33151823,33151826,40137699,31456103,31445474,31445475,40124991,48574994,59966871,60111711,50158801,40136013,31454797,25968636,25968637,33778701,31454820,23960845,23960843,256530471,50158823,50146879,50146651,40125441,31447977,31447979,40127777,40125141,31445622,23953718,23953719,31445623,40125143,40125390,40125391,31446086,23954056,23954058,31445599,31445600,40125116,40125167,31445655,31445654,40125164,40127754,40139335,40139336,50146152,40124921,31445408,23953575,17607335,12428495,12428497,17607341,23953587,31445427,31457474,23962743,17613509,17613508,23962740,31457468,31446954,23954682,17608007,17608008,17607639,17607637,23953706,17610614,12430595,12430593,17610606,23958205,31445509,23953640,23953641,28894100,21618143,21618142,23953936,17607625,12428671,12428670,17607618,23954020,30683489,28113012,20936131,20936134,17608581,12429217,12429216,17608576,21393922,21393923,28633006,28633017,28633016,31446319,23954220,17607739,17607395,12428530,8400093,8400094,12428535,8400101,5420632,3332259,1959784,1959783,3332255,5420626,8400089,12428521,17607383,23953664,17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125219,40126144,31450274,256010772,50151687,41054120,41054119,256010776,41054118,32259862,256586201,51211117,51211120,41054123,32259866,24659497,256075335,24659510,18200399,12909522,12909521,18200397,24659505,32259877,35343822,44769312,55678175,51211137,41054140,32259879,32259880,35343828,27220208,20291682,20291681,27220206,35343824,44769315,256110972,81566710,83928662,70402395,68076912,55678179,55678178,68076909,59564290,48177797,38268255,38268254,48177796,59564288,72298595,270842311,85891345,72298642,72298641,72298618,59564306,48177810,48177811,59564309,59564285,59564284,72298593,85891327,99846047,99846081,85891363,85891355,85891356,99846066,99846067,113863732,127736973,127736952,127736936,113863722,99846060,99846040,85891321,85891320,99846037,113863699,127736940,116205966,102144705,102144706,102144695,102144696,116205961,102144690,102144691,116205962,102144708,88153677,74538737,61754644,50274339,40253013,31565572,31565573,40253014,255554136,22351937,22351936,29707060,37062612,46941533,58307951,255166116,67575369,55232781,44382538,44382537,48183229,38273771,256004750,55230402,55230403,67573257,81041718,67575367,67575366,255554134,48183224,38273768,38273769,256004748,65251454,65251453,55231837,44381432,268173134,52820712,268825312,33770773,33770775,42802587,53255274,51511708,51511709,42419081,42419082,52820731,55654475,52820725,52820726,42419080,33428274,33428273,33428269,25659887,25659888,33428272,42419079,52820728,64736570,77927745,77927723,77927724,77927747,64736576,64736549,52820708,52820707,64736548,77927722,77927746,77927726,64736556,64736555,76917422,64736553,52820710,52820709,52820723,42419072,42419073,52820719,52820718,64736563,76917421,76917420,77927748,91852129,77927728,64736557,52820715,42419068,42419069,52820716,64736559,259051083,106050448,106050460,91852142,259678081,106050457,91852140,91852139,101681659,101681656,101681657,101681669,87707674,87707675,101681671,101681647,87707652,77927742,64736567,64736566,74101567,61318527,61318526,74101574,74101572,258866289,87707656,101681651,259016116,74101585,87707671,87707650,74101566,61318519,49835470,49835471,61318521,74101568,87707648,87707649,101681639,101681640,115726781,101681653,101681652,87707668,74101582,61318530,49835474,49835475,61318531,258866291,101681665,115726783,101681662,87707665,74101580,74101579,87707643,87707642,101681638,114700043,100654916,86682307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657292, s2 = 10163098, dlinesl.size( ) = 2 s1 = 11657292, s2 = 10163098, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11657292, Dl.E( ) = 12, 1.38e-05 seconds used appending s1 = 6678867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6911726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1051948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656962, s2 = 10352805, int(edited[s2]) = 0 s1 = 11656962, s2 = 10352805, d1 = 52, d2 = 60 Dl.O(d1) = 37162323,38838577,44731774,44731775,43379255,36436203,28359892,256300263,46739533,47560294,37654551,255617198,15745617,15745619,19671723,14917943,10258073,10258075,14917951,20814013,18520123,13158931,13158934,18520134,17803682,268448109,257094525,50407532,257677941,50407528,40372651,31679223,255587309,12603176,8552913,5550598,5550600,8552916,8354766,5392625,5392626,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,3529697,3529703,5674933,8718296,12809125,8709357,5669782,3526905,3526903,5669773,5838462,3643734,2178240,2178243,3643747,5838487,3644164,3644163,5669454,5669469,3526738,3526740,5669476,5670276,5670279,8710388,12810844,8710286,5670229,5670226,8710276,11289788,11289785,13704891,19189649,16239018,16239017,20780594,27932658,24999937,18474833,13125382,13125384,18474843,24310657,31828076,24998928,24998929,32676456,39056059,30465937,256458291,48978286,55197817,44347167,44347166,51875611,51875612,47770031,37847228,29279768,29279770,24967375,18448395,13105183,8931642,8931641,13105182,18448393,24967372,32637325,256559660,29279766,37847222,32637829,24967668,18448564,18448565,24967672,32637836,41524107,51802040,48333218,48333219,41523598,32637381,24967399,24967398,32637376,39390726,30788310,30788309,39390722,32604100,30788314,255953380,29049844,29049843,32637611,32637610,34127558,34127561,43215342,50210694,41523803,33111501,33111502,42060712,46612413,46612412,47501656,58880995,63587469,59168694,47770006,47770008,51802086,51802018,41524083,41524082,51802015,59168697,59168696,71906758,65782271,53725799,43213885,34126295,34126294,43213882,47356067,37449384,37449386,47356069,53727360,43215366,34127576,34127575,43215363,53727357,61517325,50038466,40019017,31339738,23847019,17505233,17505232,18448368,13105174,13105175,18448373,24967350,32637302,41523518,47766223,37843571,268672995,23571628,23571626,31054916,39732902,42499497,43213910,43213911,47356080,47356079,47709758,47709757,41482565,41482563,51752536,42473364,33479691,33479692,42473371,52877485,44424531,44424533,44486030,41225283,32401263,32401261,41225279,36481394,28020097,28020093,24777567,24777566,28778688,37314246,47223103,51422251,51422250,51422232,41225200,41225201,46500647,51422237,51422235,256728956,37527943,37852630,47775768,50652079,44802582,35377933,28339394,28339395,36836232,46718857,44450844,44450845,41796296,41796295,52110489,44347134,34969531,26890386,20912660,15007506,10337500,10337501,13292588,9074972,5934687,3710803,2222174,254296271,2550063,1468992,1468994,2550069,4265229,6801217,9712214,6389519,6389518,9712210,14116934,12338460,12338461,9077646,5936648,3712038,3712039,5936656,7612987,7612985,10414739,10414740,9071584,6784370,4253007,2542546,2542545,4253014,6784382,9081342,8594094,5584024,3464475,3464478,4459891,3464868,2054728,2054730,254420659,8595038,8144181,5217151,3182507,3182508,5217153,8144183,8131515,5209705,5209706,8131516,12091573,17195560,23478116,30915053,39525663,49459312,60862348,73612466,73332979,60588654,49188435,39262506,39262507,257037971,39525661,257619371,73612462,87233776,101234069,112708728,112708727,126539373,112676892,258329818,127416573,113545901,99534655,257619372,59265284,47869740,37951696,255989958 Dl.O(d2) = 92445943,78410434,65128941,53144137,42693655,33663029,33663030,42693662,53144147,65128956,70398714,259184444,20866825,14964770,10297206,254482027,4243110,3724921,2230233,2230232,3712655,3712656,5937571,6838740,6788182,4255622,2544097,2544099,2385086,2385085,1474778,1474781,2560825,4283238,6825473,4281952,2560105,1474533,1474535,2560315,1474521,1474523,2560322,4282379,6826112,10268036,9081042,5939185,5939186,9081048,12095336,8134315,5211611,5211612,5927736,3706502,2219796,1287816,1287814,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,1599888,909584,909585,1599951,2760036,3175662,5205091,254436553,3655113,5855485,5855486,254638138,17347421,12220349,8250481,5322284,3270959,1923639,1098937,616830,616828,1099020,1737757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656962, s2 = 10352805, dlinesl.size( ) = 34 s1 = 14163946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163946, s2 = 14239484, int(edited[s2]) = 0 s1 = 14163946, s2 = 14239484, d1 = 6, d2 = 6 Dl.O(d1) = 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11085,20026977,20026978,26911087,34992404,44370831,55221973,51056500,41721666,41721667,52036974,52036869,52036868,51056510,51056509,41721707,32801741,25100125,25100124,32801739,34612812,26623745,24555494,24555493,25100121,24555500,18118051,18118050,24555498,32136962,40914700,51056523,52036888,63856699,52036985,268734858,47106236,37209454,255641996,42657601,33628719,25826720,25826719,25826730,19175108,13693022 Dl.O(d2) = 49030221,49030222,50623765,50623766,257303514,88575075,102585079,101821852,87847943,87009105,73393586,60646966,49246317,49246316,60646964,73393583,77608698,77608697,90857791,86334183,72736792,59999874,59999875,72736795,63868501,63868502,72044619,72044618,85632864,77608649,64440246,52564974,52564975,60242055,48848364,48848363,50623757,62125960,256131246,51015267,51015266,62639500,52564965,52564954,42204511,42204512,269505153,76226514,63214972,51504711,41290070,41290071,257738577,76226516,70394594,57700617,46351440,46351439,57700616,63109092,63109093,257143840,51015299,60220601,60220613,60242998,48849521,38929563,30343517,30343516,268962909,60242993,70394598,83920666,88562448,77608690,64440314,52565039,42204570,42204571,52565042,63868519,63868521,76979517,85421223,71833601,59093715,47695283,37773891,37773890,41290079,49246327,49246328,49246322,49246321,60646978,73393597,83920623,71833589,59093702,51412658,256169384,32393350,41216356,51412655,63109097,60220609,268962339,30314677,30314676,38901263,48823490,60220599,60242990,48849514,48849513,258184025,258183074,52049421,41734859,41734860,52049424,62119427,64440316,63868526,52049355,46351437,46351435,57700612,50619501,50619500,42799668,37773888,37773887,47695276,59093707,257999397,46351405,46351407,57700577,62119388,62119387,74923709,64440234,64440233,77608638,84340713,74923733,74923732,72960493,60220594,48823486,48823485,60220591,62119396,62119392,62119390,70394654,83920722,88562444,102569199,99363791,258623464,50619483,50619484,46351449,40576469,31872882,31872883,40576472,46691578,46691577,50619517,40576500,40576499,50619514,57700699,46351506,36493691,28031100,28031099,36493687,46351398,36493651,28031083,20863537,14961575,14961573,20863535,28031079,36493636,36493677,46351484,40576481,40576480,50619491,62119422,70782026,83920725,83920634,70394554,70394555,70394639,70394640,83920712,88562443,74923741,74923740,83920648,70394606,57700629,46351451,36493659,36493661,46351455,46351465,46351464,57700651,62119447,50619509,50619510,62119451,57700724,46351523,36493706,28031105,20863547,268062663,6767471,6767470,10294094,14961581,20863543,28031095,36493681,46351490,57700689,70394563,57700591,46351422,36493641,36493640,46351419,50619504,62119440,50623584,256561703,31874733,40579094,31874731,31874732,257110603,62125832,74933157,88575044,102585048,116686572,130526297,140761590,127405997,113536080,99525047,85578421,71991756,59255076,47858625,37939126,255882047,15939140,11060354,7333770,4632769,2790847,2790846,4632764,7333756,4641105,2795340,1621364,921956,921955,1621359,2795334,4641096,7348090,11081371,15965571,22070479,27128317,20223257,14511759,9985582,6563118,6563119,6563257,4111707,2459534,1421834,1421833,2459533,4111702,5719935,5719934,8782431,11008407,15880499,11059074,11059072,15937365,22039822,29370736,37192809,28670839,21423776,15432182,255344452,25538605,18926540,18926541,25536591,29624394,22273100,22273101,29624396,38191147,48102648,59490870,72226324,85818591,99771393,260593429,141000622,153667241,165447715,176128953,263402794,185592338,193850775,200930664,273990887,215868348,219202194,222015968,224432126,226530548,228358906,229963982,231388400,266229171,233819138,234868970,235761203,234797600,234797599,233740517,232579109,231293181,229858736,228243824,226405035,265473366,219022832,219022831,221859362,219022829,215663654,211601871,264354852,185171446,175635432,164878832,153040975,140342935,126988633,113130294,271029226,71651024,58929013,49790180,39770442,31092291,23608738,17296339,12174941,12174942,17296330,16594762,11573699,11573700,16594763,21792130,15733702,10896946,10896945,15733699,21792125,21792140,15733710,15733711,21792143,29090120,29090036,29090010,21792026,15733622,10896888,10896889,10896876,7207125,4541091,4541092,7207128,7703794,254796343,16594807,22812856,30204193,38555356,38555357,48467994,257545757,72596488,270852229,128073477,141438869,154109913,165876956,176531311,185960259,194180495,201220975,207148066,212035879,216029261,216029263,216029262,219337751,222133178,224533325,226618506,228435952,230033669,231451057,266192193,230923964,229450881,265669805,225903255,225903253,223737192,221237662,218319948,214848930,210631450,205469264,264681079,218319951,221237664,223737195,225903254,227792518,229450878,230923961,230033668,230033667,230033670,230033671,231451058,232720979,233868688,234914112,235866029,236733405,237225154,236403447,235503613,234517444,233435205,232243831,231451056,230033668,228435951,228435952,230033671,231451059,232720981,266077069,229450874,227792515,225903251,265330433,218319948,214848930,210631446,205469262,199229230,191854067,183278931,173471518,162428598,150292591,137252282,123522021,259779607,81017583,67548042,55204360,44353897,34976401,26897306,20015624,20015625,20015629,254968853,9847808,255321421,20015628,26897310,34976407,44353904,55204370,258522341,259596521,76025709,63042693,257144909,32359525,24743313,18270382,18270379,18270380,24743317,32359529,26900810,20018487,267782572,798669,798670,1403389,2426072,2414424,1397539,798908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11085,20026977,20026978,26911087,34992404,44370831,55221973,51056500,41721666,41721667,52036974,52036869,52036868,51056510,51056509,41721707,32801741,25100125,25100124,32801739,34612812,26623745,24555494,24555493,25100121,24555500,18118051,18118050,24555498,32136962,40914700,51056523,52036888,63856699,52036985,268734858,47106236,37209454,255641996,42657601,33628719,25826720,25826719,25826730,19175108,13693022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163946, s2 = 14239484, dlinesl.size( ) = 2 s1 = 14163946, s2 = 14239484, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163946, Dl.E( ) = 8, 3.22e-05 seconds used appending s1 = 8135671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8135671, s2 = 561051, int(edited[s2]) = 0 s1 = 8135671, s2 = 561051, d1 = 6, d2 = 6 Dl.O(d1) = 38746975,257560409,257906384,26900008,26900007,20072261,14389135 Dl.O(d2) = 38746975,257560409,257906384,26900008,26900007,20072261,14389135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8135671, s2 = 561051, dlinesl.size( ) = 2 s1 = 8135671, s2 = 561051, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8135671, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 7891548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9359466, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9426664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7918043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 542943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 542943, s2 = 4021941, int(edited[s2]) = 0 s1 = 542943, s2 = 4021941, d1 = 8, d2 = 9 Dl.O(d1) = 13796266,13796265,19296530,15809335,10955372,7250926,7250928,10955381,15745224,10904758,7212017,7212016,10904753,15745153,20308453,20308452,17359904,15745094,15745095,12229796,9460541,6203009,3882517,2324894,1347780,769084,769082,1347766,2324860,3882448,6202898,9460352,254970011,267946071,14349599,9859390,9859391,9859264,9859265,14349414,20032573,19814363,19814361,20032516,20032518,26916786,20032359,14349277,9859165,6476399,4058468,4058469,4058462,2429143,2429144,2429182,1405186,799662,453240,453239,799657,1405177,2429166,4058516,6476489,9859314,14349495,20032688,20033135,256212847,256973374,42740947,34999023,26917626 Dl.O(d2) = 9859506,6476581,6476582,9859508,14349804,20033108,26635031,256212853,26917264,20032804,255738309,20032481,20032482,26916927,26917414,20032949,14349686,9859440,9859442,14349690,13367092,13367095,18770616,13755774,13755773,19251287,25913239,33719848,34998464,268505147,256119458,20032383,26916812,26916738,26916739,26917171,34998583,44376970,55227710,67570782,81039665,95098103,109352857,123545221,137277671,150319785,147835618,134709064,120910516,106657714,259064801,65040190,53057515,42609812,33586038,25790464,19145440,13670454,13670453,14960412,10293073,6851043,6851042,10393942,15070789,20983113,19145444,13670456,9361410,6131840,6131842,9361413,13670462,19145453,25790471,33586043,42609817,53057523,65040196,78319911,256864796,55656721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 542943, s2 = 4021941, dlinesl.size( ) = 8 s1 = 13233065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1054716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1056481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9690286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9690286, s2 = 10346996, int(edited[s2]) = 0 s1 = 9690286, s2 = 10346996, d1 = 16, d2 = 25 Dl.O(d1) = 217581273,220640527,223242925,265241032,229164596,230275745,228708631,265599354,274290353,202033458,195124585,187047215,177773334,263212552,129765559,118803858,118803859,259614613,63520951,51743159,256605959,24935471,18423546,18423547,24935473 Dl.O(d2) = 8320779,5369174,5369175,8320783,11301085,11301087,16254763,11301511,7503264,4743093,4743092,7503383,7503380,7502935,7477656,7477660,7477988,7477985,11263810,7477597,4725875,2847458,2847455,4725890,7477630,8305894,12298032,17446440,22354503,24190984,17821901,17821902,23018514,18352209,13029072,8872000,5784311,5784196,5784194,8871756,13028689,13028803,8871843,8564631,8564633,12617253,17472430,12318448,12318451,9313671,6101006,6101007,9313677,12318876,17473025,16256434,16254898,16254895,11302251,11302252,15889542,13107231,13107233,16254513,15577404,15577401,21605922,255145684,32489918,41337912,38106334,29543080,29543081,38106335,257511143,270318975,113678838,101583998,87617002,74012903,74012902,87617000,101583996,260696649,129508489,272253345,129508493,137290495,137290494,262628532,123558456,109367256,95113308,95113309,95113321,81056016,81056017,95113324,260395179,109367264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9690286, s2 = 10346996, dlinesl.size( ) = 14 s1 = 1376820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6833009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7898152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8033754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8033754, s2 = 6487940, int(edited[s2]) = 0 s1 = 8033754, s2 = 6487940, d1 = 10, d2 = 16 Dl.O(d1) = 257503816,11332540,255474869,29824507,23541327,17233114,12114542,8145531,6985825,4389601,254497655,10589948,8145522,8145523,12114527,17233090,15164741,15164740,21110760,28321022,23766894,17438947,12292643,8302302,8302300,12292640,17438943,18560209,255643557,23540237,17232127,12113794,12113793,17232125,15810987,10956733,7252073,4573308,2751232,2751231,4573306,7252066,10956720,15810966,17231717,17231718,17626912,17232738,12114254,8145334,256496697,32956538,258788058,15512262,21524326,20210499,20210500,27111611,23165944,23165945,30583870,28825986,21555196,15534871,15534870,21555194,28825983,256490098,31105456,28788362,256875103,255577910,29271975,27008794,27008795,35095162,32143956,31771221,31771222,34987713,44365676,41103842,41103843,35095062,27008686,27008687,22958120,16722117,16722116,22958118,30359606,27008706,27008643,24561350,24561351,32143907,32143915,32143916,25034362,25034363,32720963,25034326,25034325,18501139,18501138,25034370,32721002,32143948,32143947,256297472,24561389,18122330,18122331,24561391,20117079,14426917,9924025,6522429,6522428,9924023,255329961 Dl.O(d2) = 256439562,255939883,255115073,255115075,22814829,30206535,28557074,21331446,15358870,10611059,7001658,7001657,10611054,15358859,16614559,16614558,22835765,30227396,38810065,48730344,40073252,31391641,31391640,257655421,74350750,87953003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8033754, s2 = 6487940, dlinesl.size( ) = 20 s1 = 1379255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1379255, s2 = 6883340, int(edited[s2]) = 0 s1 = 1379255, s2 = 6883340, d1 = 11, d2 = 6 Dl.O(d1) = 35106170,27020550,20129193,20129192,25124344 Dl.O(d2) = 259633089,119242247,133072494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1379255, s2 = 6883340, dlinesl.size( ) = 2 s1 = 1379255, s2 = 6883340, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1379255, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 1379357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9077594, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10331267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13242205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6505378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 159888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14546025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7966654, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 392399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9706623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6438392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6438392, s2 = 7609748, int(edited[s2]) = 0 s1 = 6438392, s2 = 7609748, d1 = 29, d2 = 37 Dl.O(d1) = 254418276 Dl.O(d2) = 259899196,257418959,269316020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6438392, s2 = 7609748, dlinesl.size( ) = 8 s1 = 1060445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7857565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1382156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1382156, s2 = 14162983, int(edited[s2]) = 0 s1 = 1382156, s2 = 14162983, d1 = 15, d2 = 13 Dl.O(d1) = 35156660,27070689,20175519,255749937,35156659,256225457 Dl.O(d2) = 806772,254095899,142771,78306,78307,142772,257712,457151,806773,1418180,2453151,4101003,6545993,9959867,14475562,20175522,27070691,35156663,44532906,55379139,67718940,81183915,95239090,109492115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1382156, s2 = 14162983, dlinesl.size( ) = 2 s1 = 1382156, s2 = 14162983, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1382156, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7919175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10135544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6479594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6479594, s2 = 2365659, int(edited[s2]) = 0 s1 = 6479594, s2 = 2365659, d1 = 17, d2 = 14 Dl.O(d1) = 255009322,35173691,268374195,6842673,4293562,2566988,1478041,1478047,2566999,4293584,4855003,6821514,4852283,4852280,7668933,6821630,4279326,4279324,4236437,4236435,6760290,10284886,10353233,6817769,6758761,6758760,9095349,5950433,5950434,6791551,10305548,6835095,4288667,4288665,6835091,7272544,9103740,5956829,3725269,3725271,5956833,3725288,254441081,6826459,6826461,10363045,255369241,256282733,46460481,55745349,57816602,70517898,84053004,86452752,268960082,22849161,22849162,30243036,38826359,38768473,30184788,22795031,16578382,16578383,22795036,22849508,25561353,33323134,30242788,22848966,16624742,11596307,11596309,16624744,11596392,11596389,16624883,22849159,30243031,38826353,259419023 Dl.O(d2) = 64210059,52359927,52359926,64210057,77357820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6479594, s2 = 2365659, dlinesl.size( ) = 2 s1 = 6479594, s2 = 2365659, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6479594, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 1382945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1382945, s2 = 14483633, int(edited[s2]) = 0 s1 = 1382945, s2 = 14483633, d1 = 11, d2 = 13 Dl.O(d1) = 35174853 Dl.O(d2) = 9966370,9966369,9966439,9966438,11361735,7548494,7548495,11361736,16330702,22504693,29865640,254397494,16344680,22389109,22389108,254266472,17341193,17320320,12195451,12195452,17320326,21099873,21099874,28309895,21566569,21566570,28838218,23597282,17285127,17285126,17283048,13330785,13330786,16333137,16462279,11470224,11470223,11978961,8026760,5115870,3107275,254177201,1036754,1815666,3107273,5115864,8026749,11978935,17068245,16787337,11737845,11737846,16787340,22021406,16788364,16788363,22482212,21294268,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,2928643,2928646,3160042,5179070,8083044,12022789,17108716,23378491,25299347,18724781,13329720,9107836,9107835,13329717,15327862,15327864,21294354,21294408,15327928,11351887,7542728,4770918,4770920,7542738,11351910,16316456,16315303,11351211,11351212,16315306,16317644,22490791,29855669,38415557,29845770,28516412,22479531,16308571,254520722,29845772,31069836,27232722,22010783,22010782,15909221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1382945, s2 = 14483633, dlinesl.size( ) = 2 s1 = 1382945, s2 = 14483633, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1382945, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 8114366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 672642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9738802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 994832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1384036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8113245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8113245, s2 = 14008352, int(edited[s2]) = 0 s1 = 8113245, s2 = 14008352, d1 = 20, d2 = 22 Dl.O(d1) = 41121071,32307991,258479704,22053736,22053735,26657868,19843795,15820577,15820578,15820609,10963897,7257318,7257319,10963901,15820614,21899695,29213829,23187205,23187204,30606393,39202631,255445840,255752297,14497351,9975355,9975357,9975814,6556535,6556534,6556643,254317687,254153613,258116,258117,254116971,1420269,2456949,4107567,6556673,9975983,14498169,14498057,255335919,27105038,35193848,27104690,27104691,256517896,44571092,35193059,35193060,44532600,44532601,35156412,27070474,255333955,9959733,6545880,6545878,9959728,14475402,256225433,44532618,44575068,51903812,55419132,67758207,55418236,44571125,35193093,27104064,20204045,20204044,27104058,27078611,27078610,35166340,43028208,53507784,44544054,44544053,55391388,55420020,55420011,44572853,44572854,55420013,63710530,55419951,55419950,44572799,35194687,35194688,44572783,55419953,67759979,81226122,89295380,76811807,63710532,63710531,63710542,76811809,67759076,55419057,255558110,27104617,20204469,14497756,254590466 Dl.O(d2) = 273501191,273575484,262805928,183431686,183431684,262805926,183431698,173641228,173641229,183431700,191990139,262805932,183431694,261283372,260113370,137456537,137456472,123728803,258251606,95282625,258874122,123728806,109537283,95282664,81225183,67759057,67759056,257642748,109537280,123728864,260710166,173641181,260710140,150491504,162615402,173641184,162615421,150491526,137456482,137456481,150491523,162615420,162615451,173641210,260710176,261283366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8526909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6505843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6505843, s2 = 1951018, int(edited[s2]) = 0 s1 = 6505843, s2 = 1951018, d1 = 21, d2 = 8 Dl.O(d1) = 255336433 Dl.O(d2) = 50274685 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1384456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1384456, s2 = 6505842, int(edited[s2]) = 0 s1 = 1384456, s2 = 6505842, d1 = 1, d2 = 1 Dl.O(d1) = 35200355,257320238,255336432 Dl.O(d2) = 35200355,257320238,255336432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1384456, s2 = 6505842, dlinesl.size( ) = 2 s1 = 1384456, s2 = 6505842, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1384456, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 394126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 394126, s2 = 11656947, int(edited[s2]) = 0 s1 = 394126, s2 = 11656947, d1 = 7, d2 = 7 Dl.O(d1) = 9978848,8390126,5414187,5414184,8390117,12413522,17586476,23928126,23928085,17586445,12413495,12413494,17586441,23928077,20209783,20209782,27110769,35200592,44578774,55425833,258050840,42615750,37126397,28615262,21379288,15397225,10641666,7025669,7025668,10641664,15397223,21379287,28615259,37126394,47013525,58384787,257083031,24018105,17669428,12494917,8463300,5469025,5469026,8463302,10585260,8467281,5473152,3367937,3367938,5473154,8467284,7645192,7645191,8465879,254603167,3363575,1977800,1977801,3363577,3363379,1977664,1977663,254862851,12129112,8160570,8160569,5471809,3366566,1980599,1131076,1131077,634339,352026,352027,351946,351947,634188,1130844,1980264,3362274,1979305,1979304,3365194,5470582,5473093,5467473,5467474,8461788,8462156,8465459,5471300,5471299,5467577,3362209,1980410,1980411,3366339,3192566,3192565,5231249,5469062,254833409,5230808,3192233,3192234,5230811,5231144,3192490,3192491,5231148,8160311,5230969,3192497,3192500,1936781,1868690,1065952,1065953,1868691,3192722,5231467,8160793,8160831,12129461,12129470,12129471,17247541,23556662,23556736,23556767,17247654,12129468,12129467,17247651,23556760,24025844,17675463,12499400,12499399,255578725,30281914,38867476,39958060,40207961,31522191,24020724,24020723,31522190,40207958,50229180,40208308,31522563,24021020,24021021,29589711,24020802,24020800,31522295,40208067,50229238,52296086,41955183,33012924,33012923,256122238,25263403,25263405,18715113,18715112,25263300,25371257,18786964,13381118,13381117,18786960,25371252,33010241,33010243,25285280,18712396,13319051,13319050,18712394,18714993,17684953,12507189,8472675,8472674,12507187,17684946,18712528,18712529,18786947,24254819,17877239,17877240,18714955,13321649,9101667,5955277,5955278,5955268,5955266,9101644,13321609,15003148,13284784,9068085,9068086,13284786,9068087,6748193,4228430,2528269,2528270,2528208,2528209,254480385,10268813,14931944,20830275,21463573,21463574,28719785,27993823,20829518,20829520,21912082,21912083,17196321,17196322,18708606,18708605,19542535,23479076,18697454,18697453,13315661,13315660,18708744,17196335,17196334,23479175,30916245,27994528,27994529,28220300,21025133,255802565,28054782,20885543,20885542,23479164,25281537,30552436,36541646,30916019,23478924,17196161,12091998,12091997,17196160,23478921,30916015,268977825,33268021,33268020,42247433,52632665,60863405,59332420,47940665,38026966,29464882,29464884,29471825,29471823,30903799,30651564,29464759,29464760,37798421,37798420,47719052,47940751,38027077,256429779,30083106,37383033,28843189,21571722,16022888,11125035,11125034,16022885,22140052,29464824,38026911,47940636,59332407,72066718 Dl.O(d2) = 9978848,8390126,5414187,5414184,8390117,12413522,17586476,23928126,23928085,17586445,12413495,12413494,17586441,23928077,20209783,20209782,27110769,35200592,44578774,55425833,258050840,42615750,37126397,28615262,21379288,15397225,10641666,7025669,7025668,10641664,15397223,21379287,28615259,37126394,47013525,58384787,257083031,24018105,17669428,12494917,8463300,5469025,5469026,8463302,10585260,8467281,5473152,3367937,3367938,5473154,8467284,7645192,7645191,8465879,254603167,3363575,1977800,1977801,3363577,3363379,1977664,1977663,254862851,12129112,8160570,8160569,5471809,3366566,1980599,1131076,1131077,634339,352026,352027,351946,351947,634188,1130844,1980264,3362274,1979305,1979304,3365194,5470582,5473093,5467473,5467474,8461788,8462156,8465459,5471300,5471299,5467577,3362209,1980410,1980411,3366339,3192566,3192565,5231249,5469062,254833409,5230808,3192233,3192234,5230811,5231144,3192490,3192491,5231148,8160311,5230969,3192497,3192500,1936781,1868690,1065952,1065953,1868691,3192722,5231467,8160793,8160831,12129461,12129470,12129471,17247541,23556662,23556736,23556767,17247654,12129468,12129467,17247651,23556760,24025844,17675463,12499400,12499399,255578725,30281914,38867476,39958060,40207961,31522191,24020724,24020723,31522190,40207958,50229180,40208308,31522563,24021020,24021021,29589711,24020802,24020800,31522295,40208067,50229238,52296086,41955183,33012924,33012923,256122238,25263403,25263405,18715113,18715112,25263300,25371257,18786964,13381118,13381117,18786960,25371252,33010241,33010243,25285280,18712396,13319051,13319050,18712394,18714993,17684953,12507189,8472675,8472674,12507187,17684946,18712528,18712529,18786947,24254819,17877239,17877240,18714955,13321649,9101667,5955277,5955278,5955268,5955266,9101644,13321609,15003148,13284784,9068085,9068086,13284786,9068087,6748193,4228430,2528269,2528270,2528208,2528209,254480385,10268813,14931944,20830275,21463573,21463574,28719785,27993823,20829518,20829520,21912082,21912083,17196321,17196322,18708606,18708605,19542535,23479076,18697454,18697453,13315661,13315660,18708744,17196335,17196334,23479175,30916245,27994528,27994529,28220300,21025133,255802565,28054782,20885543,20885542,23479164,25281537,30552436,36541646,30916019,23478924,17196161,12091998,12091997,17196160,23478921,30916015,268977825,33268021,33268020,42247433,52632665,60863405,59332420,47940665,38026966,29464882,29464884,29471825,29471823,30903799,30651564,29464759,29464760,37798421,37798420,47719052,47940751,38027077,256429779,30083106,37383033,28843189,21571722,16022888,11125035,11125034,16022885,22140052,29464824,38026911,47940636,59332407,72066718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 394126, s2 = 11656947, dlinesl.size( ) = 2 s1 = 394126, s2 = 11656947, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 394126, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 8260558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8260558, s2 = 8097844, int(edited[s2]) = 0 s1 = 8260558, s2 = 8097844, d1 = 1, d2 = 1 Dl.O(d1) = 55715874,44809497,35385098,27259858,255343661,14586870,13180455,13180454,18550442,25098196,32798469,41716477,52029796,269977029,76959941,63848386,52029793,52029794,63848388,76959943,76959947,63848390,52029795,52029796,63848392,68112208,67795482,55453390,256543682,27130172,27130173,35223842,257091586,42333799,52720953,53387191,42921060,33875404,33875403,42921059,53387189,65390546,259083977,92758516,259605454,78694994,258665906,61628660,50146622,40125387,40125386,256996754,52457518,50146275,40125049,256224913,14471034,9956610,9956609,14471032,16827771,16827772,14465380,9952162,9952161,6543896,4099759,2452464,2452465,4099762,6543901,6544122,6544100,4099914,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,9953066,9959135,6545458,4100684,4100685,6545463,9957378,9952301,9952302,11770398,11770397,16831619,14462158,9949849,9949848,14462157,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951814,13578575,9953262,6541529,6541528,9953254,9952051,9952052,14465225,14472569,9957754,6544662,6544661,9957751,14472564,20171548,23083802,16831015,16831014,23083799,30497207,39093187,256185798,17835488,17835487,24205122,256641917,33175186,268289414,32804065,32804066,41724175,258084559,47499792,258084561,85165255,272266845,112429040,259290076,36991534,268917284 Dl.O(d2) = 55715874,44809497,35385098,27259858,255343661,14586870,13180455,13180454,18550442,25098196,32798469,41716477,52029796,269977029,76959941,63848386,52029793,52029794,63848388,76959943,76959947,63848390,52029795,52029796,63848392,68112208,67795482,55453390,256543682,27130172,27130173,35223842,257091586,42333799,52720953,53387191,42921060,33875404,33875403,42921059,53387189,65390546,259083977,92758516,259605454,78694994,258665906,61628660,50146622,40125387,40125386,256996754,52457518,50146275,40125049,256224913,14471034,9956610,9956609,14471032,16827771,16827772,14465380,9952162,9952161,6543896,4099759,2452464,2452465,4099762,6543901,6544122,6544100,4099914,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,9953066,9959135,6545458,4100684,4100685,6545463,9957378,9952301,9952302,11770398,11770397,16831619,14462158,9949849,9949848,14462157,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951814,13578575,9953262,6541529,6541528,9953254,9952051,9952052,14465225,14472569,9957754,6544662,6544661,9957751,14472564,20171548,23083802,16831015,16831014,23083799,30497207,39093187,256185798,17835488,17835487,24205122,256641917,33175186,268289414,32804065,32804066,41724175,258084559,47499792,258084561,85165255,272266845,112429040,259290076,36991534,268917284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8260558, s2 = 8097844, dlinesl.size( ) = 2 s1 = 8260558, s2 = 8097844, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8260558, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9357517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13200003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13372765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6420509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9688150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1068317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1068958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1068958, s2 = 7218488, int(edited[s2]) = 0 s1 = 1068958, s2 = 7218488, d1 = 5, d2 = 55 Dl.O(d1) = 27235464 Dl.O(d2) = 264161340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1068958, s2 = 7218488, dlinesl.size( ) = 2 s1 = 1068958, s2 = 7218488, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1068958, Dl.E( ) = 82, 2.5e-05 seconds used appending s1 = 1069047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1069047, s2 = 4488552, int(edited[s2]) = 0 s1 = 1069047, s2 = 4488552, d1 = 7, d2 = 19 Dl.O(d1) = 27236774,30891391,23458532 Dl.O(d2) = 15822352,15822353,21902088,29212611,21898468,15819744,15819748,21898449,21898423,15945885,15945883,21903256,21903255,21901167,15821706,15821704,11803915,11803913,14171939,9742851,6406501,6406504,9742865,14171970,15638038,15638039,17760004,14552725,14552728,20282001,23186919,20246183,20246185,27157823,23020618,16780238,16780235,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828210,7631516,11473548,16467230,22431396,22431397,20280100,14551333,10012688,10012686,14551331,20280091,20335249,16921032,11842204,7914187,5031037,5031039,7914189,11842208,15959690,22064266,29394631,30212968,30212967,38797134,30606268,29217843,24320491,17933466,12706912,8633297,7706733,7706734,11578273,16601226,22821065,30213059,25898852,19238323,19238324,16878763,11808681,7887575,7887574,11450235,11450236,15959559,267765934,11579586,16601624,22821578,25856617,21955889,21955890,19337672,254164788,9484608,13712211,13712210,15942161,11062670,11062668,15942160,22045083,29375851,33730458,35358872,27236040,20306260,20306259,20307679,20307680,27237534,27236118,20306318,14572632,14572633,20306320,27236119,35358936,35358530,35358528,35359356,27236576,21212671,21212670,28437835,35358570,27235729,27235730,35358571,33541695,27237180,20307339,14573410,14573411,268343271,25753162,19115066,19115067,25753164,33541697,27237213,20307373,14573432,14573431,20307372,27237212,35359903,44783662,55691001,68088904,70909518,58196777,255147766,36952728,36952727,39209233,49136077,60536191,73280496,86891593,100871589,114922177,128819450,142174068,154807875,166513783,177094435,186448791,194601499,262784214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1069047, s2 = 4488552, dlinesl.size( ) = 2 s1 = 1069047, s2 = 4488552, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1069047, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 1069440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9100745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9712183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155774, s2 = 3943485, int(edited[s2]) = 0 s1 = 10155774, s2 = 3943485, d1 = 7, d2 = 35 Dl.O(d1) = 34194311 Dl.O(d2) = 142218271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10155774, s2 = 3943485, dlinesl.size( ) = 2 s1 = 10155774, s2 = 3943485, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10155774, Dl.E( ) = 110, 4.2e-05 seconds used appending s1 = 8107025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8107025, s2 = 9542701, int(edited[s2]) = 0 s1 = 8107025, s2 = 9542701, d1 = 1, d2 = 1 Dl.O(d1) = 33858856,42872414,33831277,26013275,19338985,13830320,254667873,254667875,255291641,19338989,256684417,33830843,33830868,26012832,19338503,13829812,9485490,6220146,6220145,9485487,9494512,9494511,13841562,19353123,26030434,33851580,41196427,32377397,24758272,18282478,12976319,12976318,18153657,18153659,24601357,32189016,35391255,255762505,14590583,255344081,27265384,35391252,44816377,55723373,68120370,81609625,259809473,123985485,137667187,150664168,162759600,173760407,183530177,192073631,264139825,210791257,214994303,265146377,215667420,211605984,206637948,200623962,193494503,185176991,175641560,164885537,153047978,140350132,126995863,126995864,140350133,153047980,164885538,175641562,185176992,193494504,200623964,206637949,211605985,215667422,274271325,219026173,265185319,224296412,226407909,228246721,229861589,231295765,232581169,233742157,266508065,237437712,238162835,237437711,236638871,235762384,234798936,234798935,233742156,233742155,232581164,232581163,232581167,232581166,231295762,229861586,228246718,265700196,221862467,219026170,215667416,211605981,206637942,200623955,193494498,185176986,175641558,164885535,153047977,140350129,126995862,113137693,99147375,85224941,71659432,58937981,47556150,37650845,29101839,21803715,21803716,29101840,37650848,47556151,58937982,71659434,85224943,99147376,113137695,126995864,140350134,153047981,164885539,175641563,185176993,193494507,200623965,206637951,211605986,264974715,219026175,265376795,224296414,226407914,226407911,226407912,228246723,228246722,229861590,231295766,232581170,233742159,234798937,235762386,266414704,274662406,231295763,229861587,228246719,226407908,224296411,221862470,219026172,215667419,211605982,206637943,200623958,200623957,206637944,206637947,200623959 Dl.O(d2) = 33858856,42872414,33831277,26013275,19338985,13830320,254667873,254667875,255291641,19338989,256684417,33830843,33830868,26012832,19338503,13829812,9485490,6220146,6220145,9485487,9494512,9494511,13841562,19353123,26030434,33851580,41196427,32377397,24758272,18282478,12976319,12976318,18153657,18153659,24601357,32189016,35391255,255762505,14590583,255344081,27265384,35391252,44816377,55723373,68120370,81609625,259809473,123985485,137667187,150664168,162759600,173760407,183530177,192073631,264139825,210791257,214994303,265146377,215667420,211605984,206637948,200623962,193494503,185176991,175641560,164885537,153047978,140350132,126995863,126995864,140350133,153047980,164885538,175641562,185176992,193494504,200623964,206637949,211605985,215667422,274271325,219026173,265185319,224296412,226407909,228246721,229861589,231295765,232581169,233742157,266508065,237437712,238162835,237437711,236638871,235762384,234798936,234798935,233742156,233742155,232581164,232581163,232581167,232581166,231295762,229861586,228246718,265700196,221862467,219026170,215667416,211605981,206637942,200623955,193494498,185176986,175641558,164885535,153047977,140350129,126995862,113137693,99147375,85224941,71659432,58937981,47556150,37650845,29101839,21803715,21803716,29101840,37650848,47556151,58937982,71659434,85224943,99147376,113137695,126995864,140350134,153047981,164885539,175641563,185176993,193494507,200623965,206637951,211605986,264974715,219026175,265376795,224296414,226407914,226407911,226407912,228246723,228246722,229861590,231295766,232581170,233742159,234798937,235762386,266414704,274662406,231295763,229861587,228246719,226407908,224296411,221862470,219026172,215667419,211605982,206637943,200623958,200623957,206637944,206637947,200623959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8107025, s2 = 9542701, dlinesl.size( ) = 2 s1 = 8107025, s2 = 9542701, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8107025, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8060487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8060487, s2 = 10807711, int(edited[s2]) = 0 s1 = 8060487, s2 = 10807711, d1 = 5, d2 = 6 Dl.O(d1) = 44820887,44821095,35395005,268343851,10040836,268051381,15836005,14592238,14592237,20332899,21272571,28488700,27269246,27269245,35395594,27268711,20332957,20332956,27268709,256767221,35396091,256767263,35396099,31907085,31907084,40621354,50678799,48002406,38090905,29527355,29527354,38090907,48002410,42807540,33775191,25965451,25965452,33775192,40943418,32164409,32164410,40941360,32162498,32162497,268070370,25965015,33774709,255826730,43179486,34095250,26233079,26233080,34095253,43179490,48266886,43013949,33957356,26120216,26120214,33957353,38556464,29986898,29986897,38556461,258154943,76975116,257912648,101731603,87758941,87758942,101588620,87621461,87621462,259427658 Dl.O(d2) = 258558735,257897930,256733284,14617677,10057583,6608196,6608198,6648012,10058103,6664152,6664149,6611578,4182682,2501001,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443022,1443021,2501052,1443779,1443776,2502793,4155840,4155839,6638168,10109398,12901538,8775976,5715556,3557920,3557921,5638479,3504435,2083123,1197631,1197630,1197758,1197762,2083354,2090909,2090912,1202660,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197237,2082374,2081801,1196983,1196985,2081845,3502441,5635746,8663234,5651670,5651668,5639239,3504978,3504977,5639256,8667666,9489443,13834777,18091726,12922369,8790691,8790690,12922368,256588447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8060487, s2 = 10807711, dlinesl.size( ) = 2 s1 = 8060487, s2 = 10807711, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8060487, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8009014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10179170, s2 = 14909060, int(edited[s2]) = 0 s1 = 10179170, s2 = 14909060, d1 = 13, d2 = 36 Dl.O(d1) = 137675823,137675824,123994519,109855748,95652546,95652544,81619706,68130236,55732705,44825410,269205619,68130238,259183939,68130240,55732706,55732707,257264216 Dl.O(d2) = 65758891,79115159,93232097,107635701,259268766,259887862,258642064,72996766,60261083,60261082,269769826,60261085,60261068,256289440,38948318,38948331,256827926,38948323,268200310,22961021,30362292,38948325,48868067,60261088,72996772,258642056,100556286,86594568,72996774,72996748,60261067,48868076,38948333,30362299,255012050,11683046,7790613,7790612,11683041,16725119,22961014,30362282,38948315,48868054,257407272,64570800,52670738,52670739,60261090,60261071,48868059,42284330,33303869,268604204,268604200,257577553,257020242,52670747,268425306,52670740,255974128,77753193,91679993,91679991,77753191,64570798,52670737,52670736,64570796,255527338,105886877,268971652,147163706,141254510,268661218,99987840,86976004,73364653,60620086,60620087,257600696,100960262,256475462,268243296,254819294,254819292,86026215,86975991,73364639,60620069,60620068,73364636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10179170, s2 = 14909060, dlinesl.size( ) = 2 s1 = 10179170, s2 = 14909060, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10179170, Dl.E( ) = 56, 1.69e-05 seconds used appending s1 = 7926863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1393244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1393285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1071504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7922070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7904136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1393452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6648440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6648440, s2 = 15346390, int(edited[s2]) = 0 s1 = 6648440, s2 = 15346390, d1 = 25, d2 = 33 Dl.O(d1) = 256931042 Dl.O(d2) = 4138743,2475441,267818641,10056266,14615356,20361776,20361775,268557673,44872073,55801380,68228785,76280931,268994612,68228668,72007044,256517498,269871596,110042576,272270983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6648440, s2 = 15346390, dlinesl.size( ) = 30 s1 = 1073743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9326939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1073889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1073889, s2 = 1745511, int(edited[s2]) = 0 s1 = 1073889, s2 = 1745511, d1 = 0, d2 = 0 Dl.O(d1) = 27959183,36417146,46269748,57614293,70304866 Dl.O(d2) = 27959183,36417146,46269748,57614293,70304866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1073889, s2 = 1745511, dlinesl.size( ) = 2 s1 = 1073889, s2 = 1745511, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1073889, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13506407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13506407, s2 = 13171958, int(edited[s2]) = 0 s1 = 13506407, s2 = 13171958, d1 = 21, d2 = 23 Dl.O(d1) = 46273675,36421048 Dl.O(d2) = 10249840,14907227,20800879,20801229,27963414,27963418,27963417,20801232,20801234,27963421,36421681,256162098,28767413,24822419,24822418,20800916,255301784,10249853,14907213,14907214,20800863,15760566,10915062,10915063,14907292,10249882,6734632,4219389,2522680,1453719,823091,464858,464859,823093,1453724,254320713,6734683,10249975,14907460,20801242,27963437,255288228,27968057,27968056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13506407, s2 = 13171958, dlinesl.size( ) = 26 s1 = 6585708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8299799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8299799, s2 = 10349832, int(edited[s2]) = 0 s1 = 8299799, s2 = 10349832, d1 = 63, d2 = 74 Dl.O(d1) = 262466354,258132647,48166007,256401169,16190855,255602811,17988014,256056499,27985434,20820636,20820637,27985436,20820643,14922952,10261595,254480241,4225433,268062047 Dl.O(d2) = 261638900,260508514,98412472,84490816,84490815,270963745,32050987,24485487,18062436,12805665,12804882,12804883,18061092,24483614,256571649,37124340,28613450,21377803,15395984,10640662,7024818,7024817,10640660,15395980,21377800,21380295,15404317,15404315,18155719,12874654,8755670,8755669,12874652,15397976,10642265,10642266,15397978,21380213,15397981,15397980,21380218,24604230,18156008,18156007,24604229,32191791,32191790,32671635,41565076,47392437,47392435,55342894,62745211,62745210,62745203,52311120,52311118,44496618,35119294,35119296,35119414,35119415,44496793,44497004,35119548,27032601,27032600,35119542,44496998,257913209,67682782,71508812,64245676,64245675,71508807,85080893,72530913,59795809,48410985,38505185,38505186,38505184,256042748,59795802,257681538,52307226,41966814,33023942,29437099,29437100,31167004,31167005,35119385,31337943,31337944,35119378,27032511,27032510,31337914,31337915,40016804,35119424,35119423,31167244,31167243,39849256,49871247,39848968,39848970,39849191,31167194,31167191,39849178,49871157,53493222,43014933,43014932,53493220,65516739,65987777,65987776,61352987,49871149,256507303,23678738,17358586,17358588,23678742,31166975,39848895,31337922,23845591,23845590,31337917,40016807,256689121,26092355,256080890,6245391,6245392,9522091,13879789,18723181,18723180,25297587,33023879,41966751,39056919,39056920,43195871,41164495,41164496,51349778,47027815,37139568,30466659,23057865,16810791,16810792,23057869,30466664,39056939,42900150,33855045,26033592,19355776,13843575,9496069,254457345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8299799, s2 = 10349832, dlinesl.size( ) = 54 s1 = 8110344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8110344, s2 = 4073630, int(edited[s2]) = 0 s1 = 8110344, s2 = 4073630, d1 = 43, d2 = 57 Dl.O(d1) = 260005211,60775830,258106476,17136444,12042980,8096149,5186814,5186815,8096150,12042982,9346814,255684565,23267200,17003228,13627304,11916209,11916208,9273571,6074443,6074441,9273567,6074467,6074469,6912643,6912646,6912594,6912592,10484438,9328279,9328278,13597871,18994315,13554676,13554677,18994317,25606889,33371704,33386403,42375250,42375116 Dl.O(d2) = 10485825,15202508,21158291,21158292,21158293,21158297,15202512,15202511,21158295,256301529,257419037,46751192,36872041,28375438,21158299,15202514,10485831,6913565,6913564,10485829,15202510,255812465,256840247,15202506,10485828,6913562,6913561,10485825,15202508,255812461,21158303,15202517,10485832,6913565,268378385,28375425,28375424,268912763,258653335,261632209,152247246,261220984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8110344, s2 = 4073630, dlinesl.size( ) = 32 s1 = 8100980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10174779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162036, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 165611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 165611, s2 = 14162995, int(edited[s2]) = 0 s1 = 165611, s2 = 14162995, d1 = 0, d2 = 0 Dl.O(d1) = 127415292,113544698,259363366,85586680,72000032,59263826,47868287,37950215,29385651,22055686,15952023,15952024,22055687,255075220,11094356,7357827,7357828,11094357,15981153,19194524,13708744,9389543,6151527,3849189,3849190,3849261,6151632,9389659,13708876,19194691,25849900,26996520,20105447,20105448,20313332,27244753,256765019,36457168,46309935,36457139,36457114,27998721,20834439,20834440,27998722,269293635,83870453,72244165,59509599,48122162,257519465,40468723,37018788,28520702,28520703,37018790,46897341,58264198,64583918,64583919,269553466,257064801,31302168,31302166,33928034,42981549,50436436,40402289,40402290,50436437,61927037,74720699,88348758,102344955,102344956,116438108,130275045,119951518,105716353,91492407,77561600,64393473,52519426,42161200,33201336,25454602,18855870,13434559,13434416,13434417,18855671,25454349,33201010,42160874,52519112,64393173,259310245,71255257,58525788,47139287,37235222,28705403,21451248,15453180,15453179,21451245,28705398,37235218,47139284,58525786,71255253,84826798,98751509,112741140,126599087,261659559,129079872,115150571,101074553,87078419,73461256,73461255,87078418,78441829,268688722,53174176,65158922,78441828,258108266,115150601,101074599,87078455,73461299,60713330,60713331,258215305,39383513,39383512,49311254,60713303,73461258,86295273,86295272,76454052,72019756,72019757,85608299,99558494,101987121,101987089,88011695 Dl.O(d2) = 127415292,113544698,259363366,85586680,72000032,59263826,47868287,37950215,29385651,22055686,15952023,15952024,22055687,255075220,11094356,7357827,7357828,11094357,15981153,19194524,13708744,9389543,6151527,3849189,3849190,3849261,6151632,9389659,13708876,19194691,25849900,26996520,20105447,20105448,20313332,27244753,256765019,36457168,46309935,36457139,36457114,27998721,20834439,20834440,27998722,269293635,83870453,72244165,59509599,48122162,257519465,40468723,37018788,28520702,28520703,37018790,46897341,58264198,64583918,64583919,269553466,257064801,31302168,31302166,33928034,42981549,50436436,40402289,40402290,50436437,61927037,74720699,88348758,102344955,102344956,116438108,130275045,119951518,105716353,91492407,77561600,64393473,52519426,42161200,33201336,25454602,18855870,13434559,13434416,13434417,18855671,25454349,33201010,42160874,52519112,64393173,259310245,71255257,58525788,47139287,37235222,28705403,21451248,15453180,15453179,21451245,28705398,37235218,47139284,58525786,71255253,84826798,98751509,112741140,126599087,261659559,129079872,115150571,101074553,87078419,73461256,73461255,87078418,78441829,268688722,53174176,65158922,78441828,258108266,115150601,101074599,87078455,73461299,60713330,60713331,258215305,39383513,39383512,49311254,60713303,73461258,86295273,86295272,76454052,72019756,72019757,85608299,99558494,101987121,101987089,88011695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 165611, s2 = 14162995, dlinesl.size( ) = 2 s1 = 165611, s2 = 14162995, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 165611, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1399710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345322, s2 = 2107512, int(edited[s2]) = 0 s1 = 10345322, s2 = 2107512, d1 = 32, d2 = 15 Dl.O(d1) = 255783354,14926120,10263792,6744395,4226071,2526916,2526917,4226072,6744397,10263796,14926129,13289539,9072320,5932735,5932736,9072321,13289541,18682364,25253170,20839179,14939879,10275194,10275195,14939880,254998380 Dl.O(d2) = 57677662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1077842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1079440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9682299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9682299, s2 = 359790, int(edited[s2]) = 0 s1 = 9682299, s2 = 359790, d1 = 17, d2 = 11 Dl.O(d1) = 9547041,6263849,6263850,6377920,9697235,14099056,13741356,9414621,6168371,6168370,3919764,3919765,6261186,8792505,5727149,5727150,8792512,6170680,6170582,3861157,2313166,1341879,1341881,2313175,3854740,2309508,2309510,2415587,2415582,4030984,6160478,3854773,3854772,6160603,9403180,13076071,8910456,5814696,3627158,3627160,5814700,8910468,13076092,13900916,254655440,33959980,255245916 Dl.O(d2) = 9056482,5920986,5920985,9056481,13271643 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1259503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1259503, s2 = 9682298, int(edited[s2]) = 0 s1 = 1259503, s2 = 9682298, d1 = 8, d2 = 11 Dl.O(d1) = 31661321,31661322,28892761,28062439,28062438 Dl.O(d2) = 255245917,13544555,254655441,3800339,3800338,2276611,1320206,753130,427784,427782,753120,1320189,2276578,3800806,6074654,6091890,6106707,9299475,6092132,3811623,2283232,2283230,3811583,6091741,6081274,3805235,2295989,1332237,1332234,2295978,3832161,3830221,2294719,2294717,3830212,6113426,3825078,2291686,1330537,1330538,2293138,3827601,6100884,6100886,9287975,6126178,6126175,9352860,13658350,13658351,268304079,33558277,257225481,64990517,78264078,259062901,259101972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6743330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6743330, s2 = 246439, int(edited[s2]) = 0 s1 = 6743330, s2 = 246439, d1 = 3, d2 = 6 Dl.O(d1) = 258004423 Dl.O(d2) = 15560106,13437708,13437709,18860502,25460535,33208306,42168253,46844083,37993170,37993169,47909297,38001854,29438846,22105658,15994594,15994595,22105666,28854281,21581801,15558005,10761271,10761273,15558012,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994298,22105251,29438333,27244549,27244524,27244526,28855778,21583001,15559083,15559084,21583313,21213109,21213110,21584144,25460642,28856046,37396883,39330202,30731857,23313105,17050356,11961348,11961350,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438016,29437910,22104958,15994141,15994143,22104968,23617353,23618460,23618459,23616875,23616874,28855758,31100894,31102032,31102034,23617775,23617777,31102234,31100390,23616498,23616495,31100380,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,268243946,256478660,29778313,23617097,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,11387217,11387219,16363074,22537447,29892306,31101759,31101760,23617505,23617506,31101831,31101905,39780431,49799794,41840522,41840523,32913408,255214186,39780128,31101560,23617296,23617295,31101519,39780101,38022448,38022449,47936144,49798770,39779038,39779039,49256762,49256761,39330138,30802587,30802588,33208196,39780326,39331965,39331964,42161872,33201953,25455165,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252523,3760222,6012305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6743330, s2 = 246439, dlinesl.size( ) = 2 s1 = 6743330, s2 = 246439, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6743330, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1404267, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2112848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8283200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15271926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1407006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1407032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1407032, s2 = 15289370, int(edited[s2]) = 0 s1 = 1407032, s2 = 15289370, d1 = 58, d2 = 200 Dl.O(d1) = 36589068 Dl.O(d2) = 267341160 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10197350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13228365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7813121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657480, s2 = 2096208, int(edited[s2]) = 0 s1 = 11657480, s2 = 2096208, d1 = 6, d2 = 11 Dl.O(d1) = 37184907,37184908,47080103,47437889,47437888,47080153,256083126,28664061,21702457,21702456,28985492,31294914,23809142,17475734,12321034,8322261,8322262,12321036,17475736,255403904,8322246,5370036,3301243,1941618,1941619,3301244,5370040,8322251,8640165,8640163,12716241,17945607,24335325,31857367,32392588,41215431,47746318,37824291,29259210,268218119,15850311,21938280,28985505,21702472,15661773,10841973,10841972,15661771,12321098,8322307,8322308,12321099,17475826,23243711,18018827,12770897,8680526,5648395,5648394,8680522,8322276,5370051,254269699,1109107,1109108,1941626,3301258,5370065,8322296,8680517,5648391,5648392,8680518,12770892,18018817,17475707,17475706,23809110,31294888,29259214,21938284,15850315,10984984,7271302,7271301,10984980,15850309,12321024,12321023,17475722,23809129,31294900,39969227,49434416,39503336,39503335,49434393,49434398,49434397,44350773,34973444,26894412,26894413,34973446,41283427,51497810,63208046,67544999,55201225,55201224,67544998,60520970,60520969,67544994,67544995,67545007,55201235,47733821,37811654,29246939,21926653,15840252,15840251,21926650,29246936,256078038,57656240,57656239,70346692,63971960,63971961,57656232,46311734,36458952,36458953,46311737,57656235,47361615,47361613,58748510,71477687,85049347,71477694,71477693,59132434,59132433,63971950,52147818,41829618,41829619,51851826,58748522,47361629,37455481,37455480,47361628,58748520,63644693,51851819,41564578,32671197,24994926,24994927,32671200,32671203,41564586,37455458,32906110,32906111,41831294,32906102,25194734,25194735,32906104,41831296,42314032,33333673,27032128,20139404,14445453,14445454,20139405,27032129,23878947,17533600,12366624,8356386,5393715,5393717,8356391,12366636,17533620,23878966,17533641,254851847,8356396,12366648,268256161,23879007,31375184,40057441,40215140,31529152,30668209,30668210,39263912,42684584,40057417,40057375,40057373,40039835,256017801,23865779,31359815,31359817,31359816,26586664,26586665,34573410,31375139,23878971,23878972,31375141,40057397,43844751,40057385,31375134,23878968,23878967,31375132,40057381,40057430,40057428,34573455,26586708,26586707,34573453,256197149,26586662,26586709,34573360,34573397,34573398,38214386,42886648,33842998,33843000,34573425,26586682,19782474,14169608,14169609,19782463,26586671,34573413,43844838,43844772,34573314,26586586,26586585,19782466,19782467,19782439,14169586,9741133,9741134,14169588,19782442,26586644,26586633,19782429,19782430,26586635,255239360,54589078,43844747,43844748,48065391,38152562,29586419,29586420,34573449,26586704,19782496,19782497,16960440,16960441,254962023,6405370,4018612,2408041,1393365,792354,792353,1393361,254312623,6405350,9741129,14169583,19782435,26586505,19782324,14169506,9741084,6405325,6405326,9741085,9741115,14169565,19782405,14169638,14169639,19782299,14169493,9741071,6405317,4018583,4018582,6405316,9741069,9741128,14169581,19782431,26586637,268369978,26586562,19782364,14169540,14169541,255724845,19782503,19782504,26586712,26586535,26586534,34573266,26586511,26586510,23233290,16960448,11872354,11872355,16960450,23233293,26586526,26586523,19782337,14169514,9741089,6405328,4018589,4018591,254680291,14169522,19782350,26586542,26586578,26586577,21440586,21440587,28691384,37216310,47113405,38884304,30298645,22900197,16669704,16054665,11147476,7393746,7393747,11147480,13737818,13737817,19230162,25889728,21135317,15185568,10474680,10474682,6990826,4393012,4393013,6990828,10596767,15341737,21311746,28534241,21311693,15341690,13849320,13849321,19362225,23418610,22621013,16892530,11820849,11820850,16892534,15108121,10420490,8099558,5189127,3165937,1853338,1632739,1632737,2814277,3166010,1853373,1057761,1057760,1853367,3165987,5189206,8099691,12047726,17142555,22797377,17328234,12203257,12203253,17328224,15538474,10746420,7100018,7100020,8502477,12542511,17728151,24085473,254276126,12274913,12274911,17415721,17746439,18578020,18578019,24282352,17901693,17901694,17901668,12681373,12253053,12253052,8275357,5339550,3282054,1930371,1930372,2933804,2933805,3282096,5339642,8275527,12232951,12232950,8550884,8275092,5339369,5339371,8275096,12252732,12590451,17788601,254613092,24208164,17838216,12631892,254279042,5572647,8536535,8536532,8511733,8511731,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,9411423,9411421,8503084,8503083,12543600,12543599,17729709,18932388,24085414,17728094,12542479,8502458,8502459,12542483,17728101,24085426,24104384,24088501,17731109,17731110,17745741,12556290,8513073,5511905,5511906,8513075,12556297,17745759,22140885,29478087,29929969,24104379,22796846,16580036,16580037,17745747,12556293,12556292,17745744,24104264,17765689,12571844,12571845,17765692,24128975,30097352,22715548,22183650,16056839,16056838,17786696,12624296,8570401,8570400,12624294,17829058,23040669,23040670,24155567,31658430,24197200,17827903,12623153,12623152,17074611,17074612,23340785,30763953,31664521,24154369,17787174,17736846,17736845,24094980,18549913,18549912,20148436,24088500,17731109,17731110,17745741,12556290,8513073,5511905,5511906,8513075,12556297,17745759,22140885,29478087,33069632,25339726,25339725,24149387,17782397,17782396,14210767,14210766,254410612,31715837,24208105,24208107,31665285,24155563,17788435,12590241,12590240,17788432,17745917,12556399,12556398,17745914,24104436,24101392,24101394,31604462,40288452,40371383,33211295,25463781,21033948,17825215,17825214,24194439,31702101,38770124,30186492,22796852,16580039,16580037,17745747,12556293,12556292,17745744 Dl.O(d2) = 21033858,25130822,24082573,24082571,23041095,16796160,11743995,7840933,7840934,11743997,16796163,16605588,11581322,11581327,7708852,6536261,4095259,2449999,1416506,805866,805870,1416499,2449978,3736259,3736258,5974347,5974408,3736283,3736282,5974399,9129472,13358424,18759766,14129555,14129554,17725437,17725428,17725147,17725151,14126157,14126158,17794452,16625622,16625619,14456261,14456262,12541163,9945580,9945581,7632629,4828856,2909881,1688111,1688108,2909871,4828838,6536682,9945741,11581484,11581486,14454039,9944226,6535806,6535808,4878610,4878609,7708667,7708784,11581539,12539974,8501026,8501023,12539969,9945144,9945145,11475191,7632844,4828972,4828973,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,9945615,6536605,4095446,2450088,1416544,1416543,2450083,1416554,1416553,2450110,4095496,6536724,9945801,14456640,20150251,14454778,9944632,6536025,4095140,4095137,6536014,9944601,14454721,11818391,11818389,11743988,11743990,16796152,23041086,16996659,11911023,11911022,16996652,23259586,24186594,17817992,17817990,19701554,26440801,31597831,24094119,17838860,12632347,12632345,17838854,24208933,24179300,20152459,20152462,15065598,14456320,14456319,20152200,24138713,17774442,12579188,12579187,17774439,24138707,31645635,24166447,24166448,31662931,31662932,39879515,44506396,255558418,41724697,41724696,49101555,39171182,30573074,30573073,31489835,24281019,19705299,19705300,20152297,16172517,11239803,7459994,4713869,4713870,7459996,11239806,10898024,10898027,15735334,21794312,23301259,17275469,17275470,23587351,23301261,17041027,17041028,11954602,8002759,5094786,5094785,8002755,7208873,7208870,10899938,15738355,18833858,15734575,15734576,10898311,10898314,15735811,21794912,16647027,16194414,16194416,16941831,16941833,21779548,21779550,19782111,15734355,15734316,15734318,12575701,12273824,12273823,17414938,21294183,15735156,15735158,21794090,21797703,21793523,15734702,12240175,12238801,12238803,10900930,10900931,15739907,21799765,29097180,21799942,15740233,10901153,7209586,4542497,2730626,1582205,1582204,2730621,2730597,2730595,4542433,255055391,21799932,29097356,22022343,15921190,11043762,7318470,4620321,4620320,7318468,11043756,13175391,13175390,18542636,25087426,28301232,21092675,21092676,21094995,15152491,10449997,6888816,4324689,2587381,1491595,1491596,2587383,4324691,254719593,15152513,21095031,28304051,36800809,46685264,258024867,84334694,98241671,112219834,112219838,98241673,98241672,112219836,126075926,139447228,152171801,164049928,174868032,273296362,167745960,167745959,178199237,167745962,156143853,143609668,130282366,116445551,259164768,88356470,102352525,116445554,130282370,134017194,120184189,105983853,260884653,105983854,259410146,64676537,257552612,35242974,27145796,25608201,18995621,18995620,25608198,27136650,20230034,14516737,14516739,20230040,14523426,14523423,9994336,6568408,4114757,2461251,2461250,4114755,6568404,9993383,9993384,14523705,16698319,20240286,27150868,35231225,35231226,27146136,20236931,14521476,14521475,20236929,15622679,15622678,15505003,15505002,20104289,20104290,15505010,10722840,10722842,15505015,21515596,20236936,14521480,14521458,9991980,6567001,6567002,9991982,9993246,14523485,14516808,9988996,9988995,14516806,20230145,20236874,14521442,9991970,6566995,4113909,2460734,2460733,4113905,6566987,9991956,14521423,11669207,7778979,4930092,4930095,7778985,5598451,5598454,8613069,12681330,16706417,11669164,7778945,7778946,11662672,16702493,22933661,16698780,12508391,12508392,17686362,16702233,16698860,11659507,7770854,4923980,2969566,1723017,1723018,2969571,4923989,7770866,4926400,4926401,7773989,11663182,16703136,22938372,255124007,7777482,4929087,2973175,1725389,980919,552330,309137,309139,552336,980932,1725412,2973214,4929143,7777570,11667305,15044705,10371723,10371721,15044700,10371738,10371737,15044722,10374513,6835901,4929123,2973200,2973199,4288907,4288906,254713829,7774578,11663886,16703971,22939521,30340805,268524676,30344668,38921313,30334865,22943381,16707508,11667050,255123987,22943384,22943388,16707513,11667056,7777357,4929010,2973132,1725366,1725368,2973134,4929013,7777363,11667067,16701437,21604944,15576643,15576644,15046655,15046654,20955454,28133260,36607056,46473214,38930798,30344751,30344748,38930793,269361309,70744586,70744587,257998770,60323493,59937210,48544607,48544609,38920187,38920188,48656954,48656956,53686348,59937229,48840621,48840619,60234878,72938472,72938474,60323536,60234862,48840612,42337859,42337861,52724909,64625040,57829330,57829333,53686321,53686323,43937453,43937451,53256492,42803644,33771624,33771623,42803672,268539252,48840637,60234894,257290406,86570237,90462045,90272841,84067353,70530865,57829307,46473341,36607180,28133403,28133404,36607183,46473348,57829314,70530874,60236458,60236459,59578975,48192573,38283238,38283239,48192575,50615550,40573282,40573281,38920194,38920195,48840636,38920206,38920207,48840646,59045356,60234918,53319504,53319503,5174590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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657480, s2 = 2096208, dlinesl.size( ) = 2 s1 = 11657480, s2 = 2096208, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 11657480, Dl.E( ) = 12, 2.1e-05 seconds used appending s1 = 1084789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1084789, s2 = 11232046, int(edited[s2]) = 0 s1 = 1084789, s2 = 11232046, d1 = 1, d2 = 1 Dl.O(d1) = 28093610,36563890,30138529,22752688,16541642,11528661,7669219,7669220,11528662,13307415,10322103,6835112,4288675,4288672,6835103,10373399,15046193,20954942,28132733,36606554,46472786,46472787,55287328,256743917,256743915 Dl.O(d2) = 28093610,36563890,30138529,22752688,16541642,11528661,7669219,7669220,11528662,13307415,10322103,6835112,4288675,4288672,6835103,10373399,15046193,20954942,28132733,36606554,46472786,46472787,55287328,256743917,256743915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1084789, s2 = 11232046, dlinesl.size( ) = 2 s1 = 1084789, s2 = 11232046, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1084789, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7839135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1410017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656022, s2 = 9692290, int(edited[s2]) = 0 s1 = 11656022, s2 = 9692290, d1 = 10, d2 = 57 Dl.O(d1) = 8889520 Dl.O(d2) = 77410610,77410613,64260865,64260866,77410614,91329183,87050516,73433101,60685184,49284014,49284013,43898086,257284028,32232217,24634798,18179496,18179495,24634796,28631429,21392576,21392575,25019722,32703737,41607203,40504060,31808632,31808633,38770570,38770569,47712258,37791454,37791455,38770571,256019022,21912861,15830412,10970357,7261390,7261391,10970358,15830413,21912863,29229332,37791463,269330949,60351623,73091376,73091373,60351620,48954914,39032840,39032841,31252900,31252901,39032839,31252898,23768646,17440611,17440612,23768648,31252903,39928131,39928143,39928123,39928124,49945700,61423577,74202215,269823306,39928133,39928132,49945708,61423589,61423605,61423604,258874574,72676483,61423585,61423584,258727246,55413906,257918539,74202214,87805644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 340843, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6690029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 25129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8267007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8267007, s2 = 4372529, int(edited[s2]) = 0 s1 = 8267007, s2 = 4372529, d1 = 75, d2 = 114 Dl.O(d1) = 8814916,9208886,7036407,4427204,4427200,7036392,8824869,8824873,9050454,5916395,5916392,6470575,9850905,14338912,18097725,12831626,12831623,13108973,13108972,18162378,18454476,18454475,255308890,63600758,255647654,46286269,256109744,57958138,57958136,256124556 Dl.O(d2) = 133091625,119261904,260055768,158686598,170043574,180207225,262764296,203512485,263586956,203512486,263932987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8267007, s2 = 4372529, dlinesl.size( ) = 2 s1 = 8267007, s2 = 4372529, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8267007, Dl.E( ) = 124, 4.98e-05 seconds used appending s1 = 9333822, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14918359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6673629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6673629, s2 = 14323529, int(edited[s2]) = 0 s1 = 6673629, s2 = 14323529, d1 = 67, d2 = 29 Dl.O(d1) = 257189418 Dl.O(d2) = 142175050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6673629, s2 = 14323529, dlinesl.size( ) = 66 s1 = 14253377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14253377, s2 = 7899408, int(edited[s2]) = 0 s1 = 14253377, s2 = 7899408, d1 = 0, d2 = 0 Dl.O(d1) = 100545711,114576405,128460450,272577249,154459439,166193735,164059936,152182520,139458801,126088526,112233538,98255463,84348052,70789225,58071937,255022572,28321341,254223460,10461856,10461857,15169202,17604793,12426519,12426517,17604790,23950567,31442237,268372887,10340514,15011000,20917027,28091102,36561075,46425280,57780255,70480504,57967837,46591508,46591509,57967839,70685846,73426736,255978172,100636315,98434432,98434431,112093922,98134183,257915910,57969506,46593171,36706228,28214801,21020751,21020750,28214798,36706224,46593163,36706729,28215249,21021101,15097855,10412719,10412716,255375035,28215204,36706667,28215227,268604317,21020789,15097641,10413957,6864565,4308125,2576015,2576014,4308123,6864561,10412729,15097876,21021144,15099787,15099788,21023741,28217091,28217092,28218349,21023354,15099618,10413879,255012523,256290695,258018749,269776988,61321375,61321374,270286966,86943293,258040694,258920327,259441316,64433519,258407879,88121271,87124541,87124540,99955800,85997121,72400692,72400689,67743389,60821684,49421604,49421605,60821647,60821648,71598927,58878294,47498275,37594081,29046420,29046421,37594086,47498288,58878305,71598936,81209998,67744867,55405210,44557856,35179786,35179787,255904753,11254342,11254343,16190480,255904757,38256076,48165457,49421536,268665655,23453762,23453763,30885641,39491838,38458222,255917345,16370362,268228405,29901463,256414435,48360277,48360628,38458928,268407641,16370901,16370902,11393108,7569682,4787153,254536437,11393107,16370928,22546737,29661946,22309479,16162579,11229634,7451436,7451437,11229639,7451454,7451453,11229663,16162614,22309537,29662018,38228370,38325300,38458490,38458489,48360272,46281183,39019700,30430353,30430355,39019707,30600373,30600374,29444699,29444698,38007690,268240414,59316267,58167318,46799915,36921880,36921879,46799914,58167317,256681256,258216312,39798661,39798660,49819257,61298818,73370156,73370155,269341030,74735687,74735686,256535902,50450013,49819265,39798664,31118133,23631547,268435651 Dl.O(d2) = 100545711,114576405,128460450,272577249,154459439,166193735,164059936,152182520,139458801,126088526,112233538,98255463,84348052,70789225,58071937,255022572,28321341,254223460,10461856,10461857,15169202,17604793,12426519,12426517,17604790,23950567,31442237,268372887,10340514,15011000,20917027,28091102,36561075,46425280,57780255,70480504,57967837,46591508,46591509,57967839,70685846,73426736,255978172,100636315,98434432,98434431,112093922,98134183,257915910,57969506,46593171,36706228,28214801,21020751,21020750,28214798,36706224,46593163,36706729,28215249,21021101,15097855,10412719,10412716,255375035,28215204,36706667,28215227,268604317,21020789,15097641,10413957,6864565,4308125,2576015,2576014,4308123,6864561,10412729,15097876,21021144,15099787,15099788,21023741,28217091,28217092,28218349,21023354,15099618,10413879,255012523,256290695,258018749,269776988,61321375,61321374,270286966,86943293,258040694,258920327,259441316,64433519,258407879,88121271,87124541,87124540,99955800,85997121,72400692,72400689,67743389,60821684,49421604,49421605,60821647,60821648,71598927,58878294,47498275,37594081,29046420,29046421,37594086,47498288,58878305,71598936,81209998,67744867,55405210,44557856,35179786,35179787,255904753,11254342,11254343,16190480,255904757,38256076,48165457,49421536,268665655,23453762,23453763,30885641,39491838,38458222,255917345,16370362,268228405,29901463,256414435,48360277,48360628,38458928,268407641,16370901,16370902,11393108,7569682,4787153,254536437,11393107,16370928,22546737,29661946,22309479,16162579,11229634,7451436,7451437,11229639,7451454,7451453,11229663,16162614,22309537,29662018,38228370,38325300,38458490,38458489,48360272,46281183,39019700,30430353,30430355,39019707,30600373,30600374,29444699,29444698,38007690,268240414,59316267,58167318,46799915,36921880,36921879,46799914,58167317,256681256,258216312,39798661,39798660,49819257,61298818,73370156,73370155,269341030,74735687,74735686,256535902,50450013,49819265,39798664,31118133,23631547,268435651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14253377, s2 = 7899408, dlinesl.size( ) = 2 s1 = 14253377, s2 = 7899408, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14253377, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7986599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7986599, s2 = 6745008, int(edited[s2]) = 0 s1 = 7986599, s2 = 6745008, d1 = 50, d2 = 41 Dl.O(d1) = 37131540,37131541,47019022,39894900,31217715,23733482,17408851,12268607,12268608,17408855,23733490,31217730,36717344,28224214,28224215,28224246,21028495,15103916,254717389,4310185,2577300,2577303,4310194,6867471,10417522,15103955,21028539,15103944,255375853 Dl.O(d2) = 258019323 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6745007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6745007, s2 = 7986598, int(edited[s2]) = 0 s1 = 6745007, s2 = 7986598, d1 = 19, d2 = 23 Dl.O(d1) = 258019322 Dl.O(d2) = 255375852,13416896,13416897,16991125,23254022,22944734,16708606,11667838,11667835,12421548,254717388,7963309,7963310,11905814,16991134,19060856,17596809,12420689,8394894,5417411,3330270,1958588,1118770,1118771,1958572,3330244,5417360,8394812,12420556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9020961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1415536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15198899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13308159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9277126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9277126, s2 = 5066057, int(edited[s2]) = 0 s1 = 9277126, s2 = 5066057, d1 = 157, d2 = 125 Dl.O(d1) = 257910820,39189954,256606238,257747084,86793577,260658019,260827558,166435258,262434060,194541334,201530424,207413172,212264587,216228419,219514203,222290154,219854175,216616675,212710775,207932719,202135182,195237162,187167181,177897104,167402998,155770960,143219499,129890203 Dl.O(d2) = 191915691,199283481,191915710,191915709,191915705,191915696,191915698,261371332,162522213,162522212,173555036,183351279,191915695,191915714,183351293,173555046,173555045,183351290,191915713,199283506,205517705,199283518,191915720,183351297,183351296,191915716,199283509,205517721,210675108,214888318,263675368,205517697,199283482,199283481,191915710,183351287,173555042,162522216,150391751,150391750,162522212,173555036,183351279,191915695,199283487,205517699,210675084,210675069,210675068,210675106,214888322,264323034,220618162,264873364 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13360815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13281537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164162, s2 = 13623524, int(edited[s2]) = 0 s1 = 14164162, s2 = 13623524, d1 = 8, d2 = 8 Dl.O(d1) = 60809743,49409732,39480213,30875291,30875292,39480219,49409734,49409525,49409524,60809746,73555958,257603696,73555961,258834028,85127421,71556855,58829421,58829422,55673824,44764545,35338329,27214369,27214368,35338327,44764541,55673821,256478406,40519913,255976822,49409575,255143506,68072730,68072731,81562598,87173577,73556028,257071698,40060980,31378285,31378284,30029281,30029280,29014472,29014474,27214391,20286039,14556122,10016005,10016004,14556119,15664582,15664583,21706307,28990415,37535348,31822869,31822868,40519900,50082432,50082431,49254265,39327635,30729573,30729572,39327632,48948673,47282819,47282818,47439402,44764561,44764562,55673839,60568020,73311022,77492737,73311006,73311005,60567979,59910724,50082448,50082446,40061010,37535362,37535363,40061081,257022662,39243713,39243712,49168926,60345416,60345414,48948686,39026022,30436499,30436500,39026024,39243652,30647954,23226200,23226201,30647958,23226211,23226210,256348315,28990407,37535354,39026062,30436530,23029869,16787305,16787304,23029867,23226292,16952945,11865340,11865341,16952948,23226300,30648110,23226535,16953142,16953143,23226540,30648365,39243687,39243688,49168909,49259868,60345411,49168959,39243766,30648051,23226257,23226258,30648053,39243768,30648115,23226305,23226304,23280734,17021855,11937244,11937246,11958867,8006788,8006790,11960736,17049368,255143436,39324073,30857647,23426161,23426160,30857646,39462472,39243859,30648177,23226363,23226364,30648179,39243864,47118408,37220880,37220881,47118410,39450749,30846481,30846480,30846475,23416303,17140409,17140411,21332279,21332278,28558080,37058811,28558051,21332262,21332261,28558030,23311666,23280750,23280753,23308648,23308647,30726345,23317016,17148441,12052033,8102892,8102891,12052026,17148430,15419492,10659100,10659099,15419489,14514493,9987482,6564301,6564303,9987490,10420811,15108505,16259449,22425835,22072983,15968008,15968007,22072981,29403330,37967283,47885669,59282130,72019102,85607620,99557837,112459800,98469402,84547133,70983913,58269099,46903505,37026064,28528103,21306009,15336608,15336607,15523068,15523069,21538681,28527813,21305702,21305703,28527818,28297998,28297999,29534576,22191415,16476979,11480268,11480267,16476977,22673303,28805457,28805455,28805400,21538587,21538586,22536820,22536821,22536815,20923245,20923243,23358612,21539286,15523470,10736147,7093437,7093438,7093309,7093310,5444521,5444520,8433322,12464690,17640454,23986277,23001889,23001890,30406972,37754805,29193463,21881561,15805741,15805742,21881563,29181467,28297978,21090147,15149255,15149254,21090143,21911535,28297445,36794555,39326129,37950990,36794656,28297516,28297517,22829588,22829586,22963578,22963581,30365612,36734182,46622374,46680625,52048731,41734211,38203109,29636366,22284643,22284642,29636361,38151549,29585496,22660151,16466182,16466183,17109519,16385421,16385424,22565559,23379434,30807699,37353176,28814350,21546074,15528785,15528787,21546082,23381483,17111151,12024554,12024553,17111143,23381471,30809980,36610347,38485917,29925458,29925457,30809954,29536184,22192957,22192959,28136622,28136623,36610351,29631291,22279417,22279418,29631281,256014328,255899054,8078829,12019501,16245855,11294685,7498909,7498908,11133114,11133115,16033895,16033999,11133176,7384729,4665430,4665429,7384725,11133163,16033976,21575033,15551814,10756091,7106238,7106239,10756096,15551824,21575047,16855994,11788954,11788955,16856000,16855654,12024714,12024712,8092999,5184964,5184963,8092995,11294672,7498905,7498907,11294681,16135077,16135075,11480931,7635956,4830808,4830809,7635961,11480943,16477989,16856065,11789014,11789017,15551699,21574930,28846848,28847995,23115059,16855809,11788744,11788745,15551438,15551439,15552997,10756998,10756997,15552073,255412803,16855469,268083540,5436005,3341777,1965080,1122355,1122356,1965082,2573558,1481889,1481892,838709,472776,472777,838713,1483103,845791,477468,268681,254077711,254084707,477461,479491,479490,475332,267242,147957,81343,44520,24730,24731,44527,81360,147991,266009,147288,80968,80969,147292,266021,473333,268738,266530,147563,147565,81130,44410,44411,254077619,266583,474263,841050,1486672,1495034,2592232,4320077,2590557,1493504,267750861,268712,268711,477512,254157337,267822905,6873841,6897877,10446690,15147169,21087322,28294405,36791082,46677041,58051738,70770039,84328917,98236140,98245203,84337922,270282421,58061166,46687902,36803815,28307021,21097481,18026285,12776562,12776563,18026290,23555400,17246488,12128550,12128551,17246492,23555406,24114994,20117107,20117106,27008667,35095040,39923953,49941703,47293387,37384209,256023001,17593696,12418721,12418720,17593694,17951546,24342305,29491520,38055491,47968692,49884986,49884985,43937994,268760536,28629904,24442270,22345557,22345556,29699542,31428229,36803792,28307000,21097468,21097467,28306996,21406200,15418490,15418489,21406198,23763920,17436092,12290014,8300076,5354561,3492463,2074712,2074713,3492470,5621597,8643565,12720887,13133840,13133838,18487069,22345540,20079835,14397035,9902868,6508909,4078861,2440561,254315745,6508905,9902856,14397010,255742647,26671121,25016536,18486884,13133721,13133722,18486887,21053716,28254369,26606064,19799031,19799029,26606074,28306976,28306993,21097465,15154437,10451318,10451319,15154441,16943103,11858043,10451326,6889592,6889591,10451322,255380079,28307022,36803816,46687904,58061167,70779017,270799871,112223410,126079235,139449969,148018069,134898230,121096518,121096517,134898229,125923767,112089599,98129615,84234747,70681714,57963237,57963236,70681713,259268815,112089597,125923765,139273023,151979798,163848702,174666546,184289838,192709831,194392998,186202713,263191647,166188938,154453746,141807554,128455363,114572065,114572064,100541864,86581207,258184519,48856454,38937199,30351316,22949662 Dl.O(d2) = 60809743,49409732,39480213,30875291,30875292,39480219,49409734,49409525,49409524,60809746,73555958,257603696,73555961,258834028,85127421,71556855,58829421,58829422,55673824,44764545,35338329,27214369,27214368,35338327,44764541,55673821,256478406,40519913,255976822,49409575,255143506,68072730,68072731,81562598,87173577,73556028,257071698,40060980,31378285,31378284,30029281,30029280,29014472,29014474,27214391,20286039,14556122,10016005,10016004,14556119,15664582,15664583,21706307,28990415,37535348,31822869,31822868,40519900,50082432,50082431,49254265,39327635,30729573,30729572,39327632,48948673,47282819,47282818,47439402,44764561,44764562,55673839,60568020,73311022,77492737,73311006,73311005,60567979,59910724,50082448,50082446,40061010,37535362,37535363,40061081,257022662,39243713,39243712,49168926,60345416,60345414,48948686,39026022,30436499,30436500,39026024,39243652,30647954,23226200,23226201,30647958,23226211,23226210,256348315,28990407,37535354,39026062,30436530,23029869,16787305,16787304,23029867,23226292,16952945,11865340,11865341,16952948,23226300,30648110,23226535,16953142,16953143,23226540,30648365,39243687,39243688,49168909,49259868,60345411,49168959,39243766,30648051,23226257,23226258,30648053,39243768,30648115,23226305,23226304,23280734,17021855,11937244,11937246,11958867,8006788,8006790,11960736,17049368,255143436,39324073,30857647,23426161,23426160,30857646,39462472,39243859,30648177,23226363,23226364,30648179,39243864,47118408,37220880,37220881,47118410,39450749,30846481,30846480,30846475,23416303,17140409,17140411,21332279,21332278,28558080,37058811,28558051,21332262,21332261,28558030,23311666,23280750,23280753,23308648,23308647,30726345,23317016,17148441,12052033,8102892,8102891,12052026,17148430,15419492,10659100,10659099,15419489,14514493,9987482,6564301,6564303,9987490,10420811,15108505,16259449,22425835,22072983,15968008,15968007,22072981,29403330,37967283,47885669,59282130,72019102,85607620,99557837,112459800,98469402,84547133,70983913,58269099,46903505,37026064,28528103,21306009,15336608,15336607,15523068,15523069,21538681,28527813,21305702,21305703,28527818,28297998,28297999,29534576,22191415,16476979,11480268,11480267,16476977,22673303,28805457,28805455,28805400,21538587,21538586,22536820,22536821,22536815,20923245,20923243,23358612,21539286,15523470,10736147,7093437,7093438,7093309,7093310,5444521,5444520,8433322,12464690,17640454,23986277,23001889,23001890,30406972,37754805,29193463,21881561,15805741,15805742,21881563,29181467,28297978,21090147,15149255,15149254,21090143,21911535,28297445,36794555,39326129,37950990,36794656,28297516,28297517,22829588,22829586,22963578,22963581,30365612,36734182,46622374,46680625,52048731,41734211,38203109,29636366,22284643,22284642,29636361,38151549,29585496,22660151,16466182,16466183,17109519,16385421,16385424,22565559,23379434,30807699,37353176,28814350,21546074,15528785,15528787,21546082,23381483,17111151,12024554,12024553,17111143,23381471,30809980,36610347,38485917,29925458,29925457,30809954,29536184,22192957,22192959,28136622,28136623,36610351,29631291,22279417,22279418,29631281,256014328,255899054,8078829,12019501,16245855,11294685,7498909,7498908,11133114,11133115,16033895,16033999,11133176,7384729,4665430,4665429,7384725,11133163,16033976,21575033,15551814,10756091,7106238,7106239,10756096,15551824,21575047,16855994,11788954,11788955,16856000,16855654,12024714,12024712,8092999,5184964,5184963,8092995,11294672,7498905,7498907,11294681,16135077,16135075,11480931,7635956,4830808,4830809,7635961,11480943,16477989,16856065,11789014,11789017,15551699,21574930,28846848,28847995,23115059,16855809,11788744,11788745,15551438,15551439,15552997,10756998,10756997,15552073,255412803,16855469,268083540,5436005,3341777,1965080,1122355,1122356,1965082,2573558,1481889,1481892,838709,472776,472777,838713,1483103,845791,477468,268681,254077711,254084707,477461,479491,479490,475332,267242,147957,81343,44520,24730,24731,44527,81360,147991,266009,147288,80968,80969,147292,266021,473333,268738,266530,147563,147565,81130,44410,44411,254077619,266583,474263,841050,1486672,1495034,2592232,4320077,2590557,1493504,267750861,268712,268711,477512,254157337,267822905,6873841,6897877,10446690,15147169,21087322,28294405,36791082,46677041,58051738,70770039,84328917,98236140,98245203,84337922,270282421,58061166,46687902,36803815,28307021,21097481,18026285,12776562,12776563,18026290,23555400,17246488,12128550,12128551,17246492,23555406,24114994,20117107,20117106,27008667,35095040,39923953,49941703,47293387,37384209,256023001,17593696,12418721,12418720,17593694,17951546,24342305,29491520,38055491,47968692,49884986,49884985,43937994,268760536,28629904,24442270,22345557,22345556,29699542,31428229,36803792,28307000,21097468,21097467,28306996,21406200,15418490,15418489,21406198,23763920,17436092,12290014,8300076,5354561,3492463,2074712,2074713,3492470,5621597,8643565,12720887,13133840,13133838,18487069,22345540,20079835,14397035,9902868,6508909,4078861,2440561,254315745,6508905,9902856,14397010,255742647,26671121,25016536,18486884,13133721,13133722,18486887,21053716,28254369,26606064,19799031,19799029,26606074,28306976,28306993,21097465,15154437,10451318,10451319,15154441,16943103,11858043,10451326,6889592,6889591,10451322,255380079,28307022,36803816,46687904,58061167,70779017,270799871,112223410,126079235,139449969,148018069,134898230,121096518,121096517,134898229,125923767,112089599,98129615,84234747,70681714,57963237,57963236,70681713,259268815,112089597,125923765,139273023,151979798,163848702,174666546,184289838,192709831,194392998,186202713,263191647,166188938,154453746,141807554,128455363,114572065,114572064,100541864,86581207,258184519,48856454,38937199,30351316,22949662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164162, s2 = 13623524, dlinesl.size( ) = 2 s1 = 14164162, s2 = 13623524, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14164162, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 1801696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1093063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 812461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 812461, s2 = 812459, int(edited[s2]) = 0 s1 = 812461, s2 = 812459, d1 = 2, d2 = 1 Dl.O(d1) = 21106739,28316901 Dl.O(d2) = 21106706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 812461, s2 = 812459, dlinesl.size( ) = 2 s1 = 812461, s2 = 812459, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 812461, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1417867, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13346375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13346375, s2 = 7108408, int(edited[s2]) = 0 s1 = 13346375, s2 = 7108408, d1 = 53, d2 = 27 Dl.O(d1) = 13358056,255049618,16783633,11735100,7834869,254808103,16783629,23025189,30431000,23025240,255511795,254808107,255128137,11735331,7834977,7834978,11735333,16784016,23025733,30431586,30431585,39021008,256538686,33069152,33069153,39020267,30430964,23025258,16783681,11735126,11735125,16783677,23025254,16783719,11735145,7834887,4973314,4973315,7834891,11735157,11735190,7834912,4973331,3003847,3003848,4973332,7834914,11735197,16783798,255956227,39020393,48943371,257507290,10456477,6892511,6892512,10456479,15162344,255808573,28318164,21107881,21107882,255956225,39020675,256456491,268654675,40851142,32079553,32079555,40851473,40851610 Dl.O(d2) = 262684921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13346375, s2 = 7108408, dlinesl.size( ) = 2 s1 = 13346375, s2 = 7108408, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13346375, Dl.E( ) = 56, 2.29e-05 seconds used appending s1 = 14270473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14270473, s2 = 14165320, int(edited[s2]) = 0 s1 = 14270473, s2 = 14165320, d1 = 19, d2 = 16 Dl.O(d1) = 29936645,29936646,38499756,48405219,48405218,58668039,47276459,37366454,28826185,28826182,28826156,21555355,21555354,15535019,15535020,21555383,28826176,28021451,21555365,21555364,15535044,15535043,15535008,15535009,21555369,28021453,28826172,21555381,15535018,10743893,7098461,4469459,4469458,7098457,10743887,15535010,10743891,10743890,10743900,15535028,21555357,15535003,10743883,7098455,4469456,4469455,7098453,10743880,10743881,10743882,15534775,21555042,28825788,21555040,15534773,15534774,12082664,8125081,8125080,10743870,7098444,4469450,2685345,2685344,4469447,7098442,10743863,254160350,28825786,37366009,28826103,21555398,15535032,15535031,21555396,254504452,15534994,15534993,15534977,15534976,21555330,28826122,28826127,30896327,28826117,21555322,21555321,28826115,37366367,47276358,37366375,37366376,47276369,50228023,50228022,50228031,61708778,61708775,61708774,70900804,256336692,46821649,48929329,60327502,73068278,70900808,58187811,58187810,255844656,38038215,29475357,29475356,256925753,257458066,58187808,58187809,58187831,46821666,46821665,58187829,258068964,46821655,36943728,36943729,46821657,58187820,58187838,58187839,58187836,46821670,46821669,47754765,37832240,37832239,47754764,37832242,37832243,31778364,24265854,17887216,17887215,24265852,256049491,40506179,37366398,37366397,37832248,37832249,47754778,47754788,40473003,31778386,31778385,40472972,31778368,31778367,29266257,29266258,37832257,43014100,43014099,50508316,40472994,268690860,17887222,12669777,255203203,24265865,256553865,33957487,43014097,256392482,77411863,64262194,56864007,45686063,36002366,27677832,20611182,20611180,27677829,35101019,32804238,25102339,25102340,256618859,40108320,40108319,50129080,47055759,47055760,55266188,46720822,46720821,256295478,62107063,50607800,50607799,51902807,255694310,32700048,40566352,49763760,257109561,31864881,24342438,24342439,31864882,37164900,28648287,21406243,21406242,28648286,37164897,47055758,43839632,43839631,37406155,28864908,21590466,21590464,28864905,37406151,44772420,55681287,60708203,59371795,47981556,47981557,38069345,29505842,29505841,38069344,39497658,255987719,23457619,30890336,38069318,47981538,38069316,38069317,29505830,22165866,16043349,11139751,11139752,16043352,22165871,23457615,23457614,256157452,11139753,11139754,16043355,22165877,29387364,29387366,37952120,29387377,23457626,17179376,17179375,23457624,23664158,17346879,17346878,23377611,23377612,23664157,17346877,254618492,8250191,12220022,16103443,16103444,22238899,19425647,16160890,16160889,22307423,29659574,38152886,33733691,25926713,22281530,19798448,14181431,14181428,19798445,21164701,15208109,15208108,21164698,21791025,255055135,10896288,15732831,255439322,24363410,17967986,12733240,12733241,10444682,6885379,6885378,10444677,15144154,21083345,22359802,16207199,11266416,7479095,7479098,11266427,13455468,11227888,7450094,7450092,8652449,5627911,3496958,2077920,1194248,1194247,2077910,3496941,5627872,8652476,5627997,5627996,7479181,7479182,11266573,15795616,18880787,18880785,17968362,17968360,20794311,16160552,16160554,13211393,9005667,5878769,3670159,3670161,5878778,9005682,9005456,5878653,3670105,2847844,1652327,1652325,2847836,4726659,7478991,11266217,16206908,22359431,29715279,38282047,41961417,41961418,52302030,48194104,42190583,33230288,25481606,25481605,25481212,25481213,24245481,17869035,12654007,8591361,5582421,3463605,2054112,2054114,3463623,5582457,8591437,12654127,15223317,15223316,18881637,13455431,12653893,11405413,11405414,16387429,22568242,268641265,31084808,23600818,17288262,17288259,255022558,21112508,15166374,10459458,10459457,15166370,17911629,12689821,8620405,8620407,12689829,17911651,19117823,25756204,27150712,20240155,14523588,13696903,9380528,6893358,4327229,4327228,6893355,10457788,15164166,20918041,20918040,28092231,21111568,255393272,28321093,28321091 Dl.O(d2) = 28322589,21112550,15166409,15163847,15163848,15163310,10457156,10457155,15163308,255022678,31424098,36815574,36815573,28319429,28319428,28319206,21108758,21107306,15161839,10456102,6892296,6892295,10456099,15161833,15167376,10460311,254494178,15168668,15168669,17952677,17952679,24343510,28319178,21108724,15162987,15162988,15192873,10479311,6909260,6909261,10479313,15192876,21109263,15167428,10460352,10460351,12416770,12416769,15200565,21107407,23933550,23933551,17590844,12416606,8392315,8392317,6745884,4226998,2527472,1456649,1456650,2527473,4227001,267735986,10577812,6977656,6977655,10266243,6745987,6745988,10266245,14929460,10577795,6977644,6977645,10577798,15315327,17604909,23950668,28419286,21196917,15232692,15232693,17066123,12426502,12426501,16101178,22236231,17605428,14223305,14223303,19853063,16101269,11183898,11183897,16101263,17911569,12689779,8620379,8620380,12689774,17605140,12426848,12426277,12426275,17604465,15232660,10507888,6929019,4353147,4353144,6929024,10507899,15232674,14929062,14929063,20827543,27991952,28439866,31441916,31441915,39262260,254723766,23251273,254494560,36815684,28319567,21109201,15163438,15163437,21109198,20827601,18140254,12863588,8748136,8748135,12863586,15244966,11183860,7420677,7420674,11183866,16101208,20827590,14929096,14929095,254097566,28494511,36991996,254330582,70955381,70775027,64175020,58672162,47280934,37371666,255917862,47637968,37715564,37715563,47637967,40115053,31436559,23945643,17600528,12423164,8396325,8396326,12423167,16630325,11600360,7722177,4887893,4887895,7722182,255500463,30250768,38834438,39388676,46854282,36975635,28477971,21259220,15295112,15295113,15271535,15271534,15282686,17150858,23428163,21236591,15268015,12068043,8115018,8115017,6947794,4369435,4369432,2623024,2623023,4379738,6971761,6955615,6955614,10546707,10545638,6954855,4369853,4369854,6954858,255004006,21245984,21626080,22465942,22465943,29832886,27275944,27275945,24681412,24681413,28743814,268373740,27036084,20143182,14448903,9940367,6533370,6533373,9940379,9773595,9773593,14216597,19541930,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787277,10787272,11338937,11338936,16296995,22465195,254848822,47155775,37250865,28719977,21463736,21463735,28719975,37250863,47155774,255557354,71275795,84849704,98776446,112766289,126621703,139975873,152674432,164518911,175289721,184848091,261825490,206408704,263234272,218777325,215388090,211286805,263556878,193008014,262251388,164228933,152356200,139635400,126264567,112401532,269815154,256955540,28462185,21238436,15270295,254781918,6974027,6974029,6974077,4381173,4381171,4376189,4376187,6060929,9254327,8104502,8104506,12054301,9981709,9981708,12068672,12068673,10530610,10530612,10530491,6944859,4364335,4364333,6944850,8111394,8111395,12063454,15149020,15259979,15259978,10541204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14270473, s2 = 14165320, dlinesl.size( ) = 20 s1 = 14162355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162355, s2 = 8001873, int(edited[s2]) = 0 s1 = 14162355, s2 = 8001873, d1 = 7, d2 = 12 Dl.O(d1) = 200147262 Dl.O(d2) = 184563589,174957206,260305540,139517895,126143250,112284073,98302438,84393873,70836871,256150138,36874752,28377929,21160559,15204239,10487127,6914482,6914486,10487136,15204254,20041261,20041262,14378130,14378131,20062373,21776666,20040729,14356048,14356049,20040731,26926127,35007910,30916414,23479358,20017504,14336641,14336643,20008981,20008980,22090923,22090926,15983972,15499876,15499875,21508768,15718706,10881842,10881846,15718722,20066261,21167549,21167551,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,15758092,16034225,18240603,18240601,15757194,15757193,21824416,29131468,30916742,29421885,22091262,22091261,29421881,35038796,38236151,39438699,30834703,23405822,23405821,29132222,28967921,21685979,15646951,10829790,7158649,7158648,10829787,15646944,21685967,28967904,37511243,47419030,46515991,36648892,28173391,21113954,15167999,15167998,21113953,21934169,18107247,18107203,12839617,12839616,18107200,24541069,32118732,36818642,28323087,28323088,28323260,255021234,15164381,15164380,21110366,23950480,23950479,21114561,21109283,21109282,23950832,20218033,14508129,14508130,20218035,27121404,21109290,254084956,10266033,10266034,14929162,15169333,21115334,28324968,31442534,27991934,20827524,14929047,14929049,20827526,23950986,17605254,12426946,12426947,17605255,19274875,19274876,23950803,21208161,15241735,15239686,11458145,11458142,10524707,6941194,6941195,10524714,15255323,16216475,15147617,10447021,6887095,4323723,2586796,1491215,844351,844352,1491218,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151113,1151109,2012734,2190753,3661494,5864710,4220852,4220849,6073578,6736539,10252337,14910272,20804677,27967293,36425962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162355, s2 = 8001873, dlinesl.size( ) = 2 s1 = 14162355, s2 = 8001873, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14162355, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 1418342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6638557, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7876432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9569881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10162125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10162125, s2 = 16311228, int(edited[s2]) = 0 s1 = 10162125, s2 = 16311228, d1 = 0, d2 = 0 Dl.O(d1) = 254422354,23737824,23737825,254422356,15188536,21139501,254878028,36851126,46733719,256049224,84380339,98289473,112271164,126130270,139504989,152236139,164123133,174944526,184550902,192939661,200136019,206212886,211238021,215344064,218736681,218607242,215181379,211021972,205932575,199777702,192498323,184040470 Dl.O(d2) = 254422354,23737824,23737825,254422356,15188536,21139501,254878028,36851126,46733719,256049224,84380339,98289473,112271164,126130270,139504989,152236139,164123133,174944526,184550902,192939661,200136019,206212886,211238021,215344064,218736681,218607242,215181379,211021972,205932575,199777702,192498323,184040470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162125, s2 = 16311228, dlinesl.size( ) = 2 s1 = 10162125, s2 = 16311228, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10162125, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6500837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6500837, s2 = 14163013, int(edited[s2]) = 0 s1 = 6500837, s2 = 14163013, d1 = 0, d2 = 0 Dl.O(d1) = 255275749,9320642,6105578,6105576,9320639,255275747,21142985,21142986,28357745,36855562,46737520,58107913,64779471,64779470,77974067,91898734,77974063,64779474,64779473,270532103,106093739,109587487,109587486,123777563,137501599,150531723,152371752,139651141,127650633,113783036,259494808,72224186,72224187,72224183,59488273,59488272,58230434,46862499,46859262,46859261,36980725,28483790,28483791,36980727,256310535,21267141,28483787,33319821,42300524,52687255,58227060,58227056,58227057,58227052,58227053,64587739,77770589,91698082,105905454,109603038,109603037,112417945,108618075,94330480,80273872,80273873,94330127,81539570,81294459,81294458,81294455,257283658,55487497,55487502,67828646,80273488,271144021,260248392,94330471,94330465,80273850,80273849,80273859,80273858,257882099,43839318,43839317,54584239,66843854,80273861,94330467,94330468,108618068,122882773,122882776,136715076,136715079,122882778,122882777,136715078,149857910,162072095,173174558,173174557,162072103,149857915,149857914,162072101,173174566,183028643,191641838,183876220,183876219,263330632,183876212,272693510,163353552,174206177,183876214,192351655,186293209,261416696,154598347,141954197,270505268,111638059,259008138,70333831,257766762,36445274,36445275,46298705,48934210,60331985,73072447,86677115,100650025,111638060,111638061,114695473,259635562,111638062,125440412,114695464,100650018,86677111,86677112,100650020,100650021,114695467,128592805,141954209,133395849,119536537,271023395,77186255,259008143,105310461,119536540,133395852,146639270,159001888,170337960,159001884,146639268,146639269,159001886,170337963,176917464,166318779,154598353,141954201,128592798,128592799,141954202,154598355,166318781,176917466,166318783,166318784,165444876,153664679,140998522,127650630,127650631,140998524,260252228,141954205,154598356,166318782,164602356,152767678,140076801,140076802,152767680,164602355,152767676,152767675,152767673,152767672,164602349,152767667,140076793,126728431,112875994,98888192,84962647,71387739,58652383,258068271,84962652,98888200,112876005,112876002,112876003,109485618,109485619,112876004,109485620,95232250,81176550,67711215,67711216,55371453,55371452,67711217,81176552,95232253,109485622,123677007,261172825,262235471,262089337,150446616,162574657,151757112,139055186,125716277,111898832,97961350,84087459,84087460,97961351,111898834,125716281,134613130,120817064,106569678,92272259,270277289,57848630,70550569,64972024,52997121,42557162,42557163,52997122,52997123,50652413,50652414,257810129,50652447,40602437,40602438,50652448,258304883,62161409,269012837,40602409,269893339,50652447,50652446,50652448,258304883,62161409,269012837,40602409 Dl.O(d2) = 255275749,9320642,6105578,6105576,9320639,255275747,21142985,21142986,28357745,36855562,46737520,58107913,64779471,64779470,77974067,91898734,77974063,64779474,64779473,270532103,106093739,109587487,109587486,123777563,137501599,150531723,152371752,139651141,127650633,113783036,259494808,72224186,72224187,72224183,59488273,59488272,58230434,46862499,46859262,46859261,36980725,28483790,28483791,36980727,256310535,21267141,28483787,33319821,42300524,52687255,58227060,58227056,58227057,58227052,58227053,64587739,77770589,91698082,105905454,109603038,109603037,112417945,108618075,94330480,80273872,80273873,94330127,81539570,81294459,81294458,81294455,257283658,55487497,55487502,67828646,80273488,271144021,260248392,94330471,94330465,80273850,80273849,80273859,80273858,257882099,43839318,43839317,54584239,66843854,80273861,94330467,94330468,108618068,122882773,122882776,136715076,136715079,122882778,122882777,136715078,149857910,162072095,173174558,173174557,162072103,149857915,149857914,162072101,173174566,183028643,191641838,183876220,183876219,263330632,183876212,272693510,163353552,174206177,183876214,192351655,186293209,261416696,154598347,141954197,270505268,111638059,259008138,70333831,257766762,36445274,36445275,46298705,48934210,60331985,73072447,86677115,100650025,111638060,111638061,114695473,259635562,111638062,125440412,114695464,100650018,86677111,86677112,100650020,100650021,114695467,128592805,141954209,133395849,119536537,271023395,77186255,259008143,105310461,119536540,133395852,146639270,159001888,170337960,159001884,146639268,146639269,159001886,170337963,176917464,166318779,154598353,141954201,128592798,128592799,141954202,154598355,166318781,176917466,166318783,166318784,165444876,153664679,140998522,127650630,127650631,140998524,260252228,141954205,154598356,166318782,164602356,152767678,140076801,140076802,152767680,164602355,152767676,152767675,152767673,152767672,164602349,152767667,140076793,126728431,112875994,98888192,84962647,71387739,58652383,258068271,84962652,98888200,112876005,112876002,112876003,109485618,109485619,112876004,109485620,95232250,81176550,67711215,67711216,55371453,55371452,67711217,81176552,95232253,109485622,123677007,261172825,262235471,262089337,150446616,162574657,151757112,139055186,125716277,111898832,97961350,84087459,84087460,97961351,111898834,125716281,134613130,120817064,106569678,92272259,270277289,57848630,70550569,64972024,52997121,42557162,42557163,52997122,52997123,50652413,50652414,257810129,50652447,40602437,40602438,50652448,258304883,62161409,269012837,40602409,269893339,50652447,50652446,50652448,258304883,62161409,269012837,40602409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6500837, s2 = 14163013, dlinesl.size( ) = 2 s1 = 6500837, s2 = 14163013, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 6500837, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 1038901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6501357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1420968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1420968, s2 = 7057551, int(edited[s2]) = 0 s1 = 1420968, s2 = 7057551, d1 = 14, d2 = 48 Dl.O(d1) = 36873399 Dl.O(d2) = 261014681,110033861,259187097,55795327,55795326,68221128,270685011,97194711,258600179,57104061,57104062,258600181,97194713,271731397,138502967,151119179,138321550,124871778,124521085,124521086,258683202,258683200,110274549,261018889,150857620,162888319,173846631,263449631,199459606,264433869,210869159,205748743,263817825,183745092,174051989,163170654,151247289,273076889,261978179,133895712,271546491,91620888,77691543,64510965,64510966,68658421,68890658,68331398,55891550,44943024,35485995,27337716,27337713,35485962,35486019,35486022,35622073,27736316,20734135,20734042,20450433,20450435,20450506,14674789,14674793,20450518,27430432,35619992,45131211,56134732,68611189,82136502,96163966,83379498,259231255,111302881,272150937,151300108,262064216,163172883,273047298,166759504,155060720,142415550,129041495,115114176,101040112,101040113,260062302,77398115,77398108,64248276,64248275,60068561,60068560,72806220,86401802,91316255,105534124,119767346,133636932,261966823,170595882,162838944,150786046,259960706,110092489,258092202,68295627,68295628,64247740,64247739,70730699,70730700,84282742,98178708,112141212,120834023,123886627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1420968, s2 = 7057551, dlinesl.size( ) = 30 s1 = 6471331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6471331, s2 = 1263104, int(edited[s2]) = 0 s1 = 6471331, s2 = 1263104, d1 = 16, d2 = 6 Dl.O(d1) = 254900758 Dl.O(d2) = 31726948,255632762,17850034,23468653,17188530,17188529,23468814,30903207,256013610,30041719,38615603,46291561,257890672,8672422,5642205,5642206,8672423,12760820,18006270,18302583,256084263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6471331, s2 = 1263104, dlinesl.size( ) = 26 s1 = 1421165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13619091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7611080, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1421880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1097091, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1422196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13960843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7957661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7957661, s2 = 271801, int(edited[s2]) = 0 s1 = 7957661, s2 = 271801, d1 = 33, d2 = 25 Dl.O(d1) = 19634743,14071654,14071655,15275008,15275007,21242292,255784318,46842987,37251216,28898310,28898309,37438802,47345915,58733688,71463432,85035318,78623870,65327038,257792594,33826825,26009114,19335219,13826782,9482876,9482878,13826788,255698687,29158727,28403888,28397410,21177277,18371974,18371975,17156443,17156444,17156434,17156433,255985565,18209137,12915223,8785531,8785532,12915227,14425058,14425060,20114428,22611885,16427640,16427639,22611883,29978637,38547539,47111639 Dl.O(d2) = 6780217,6801618,6842914,4293738,2567096,1478093,1478092,267822251,4928589,4928591,7776830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7957661, s2 = 271801, dlinesl.size( ) = 2 s1 = 7957661, s2 = 271801, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7957661, Dl.E( ) = 50, 1.91e-05 seconds used appending s1 = 11657560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13741859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9387128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7160275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7160275, s2 = 8399679, int(edited[s2]) = 0 s1 = 7160275, s2 = 8399679, d1 = 25, d2 = 41 Dl.O(d1) = 263402272 Dl.O(d2) = 256087292,254798904,46766760,254170404,26406924,21436405,15441881,10675831,10675832,15441886,17733627,17733628,24091178,17733615,17733617,22860367,16634045,16634044,17733635,24091209,31594628,30879283,24091392,24091390,21063208,21063207,22860556,22860555,26404318,26404319,31227826,23744106,21678417,15639224,15639223,21678406,17419317,12277393,12277394,17419323,268374324,24137738,24137739,31644691,37720457,29160639,21852251,21852249,255946672,40278985,34281386,34281387,26406680,26406681,34281424,43379919,256147378,38839365,38839366,42846529,39767245,31594591,31594590,256007369,23744149,23604336,23604334,21820056,21820057,29126910,26009898,19335848,13827233,13827232,19335846,254934102,28563830,21337017,21337016,24698298,18228788,12929594,12929595,18228794,24698304,32311816,41124907,40505394,40505393,38391767,29819309,22451766,22451765,29819304,24829036,24829037,31764813,257684277,49911865,39891615,31214185,23729775,23729776,25315563,25315562,18738236,13339516,13339515,14579732,18737468,18737467,25314855,31254073,39929258,49946802,55248720,44400819,44400820,270305374,259782517,260556523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7160275, s2 = 8399679, dlinesl.size( ) = 44 s1 = 13436863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13436863, s2 = 14499624, int(edited[s2]) = 0 s1 = 13436863, s2 = 14499624, d1 = 18, d2 = 28 Dl.O(d1) = 1622522,922665,922666,1622523,2797067,4643514,7351338,11085624,13505670,13505671,18942020,25555016,33317004 Dl.O(d2) = 16051006,254818350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13436863, s2 = 14499624, dlinesl.size( ) = 2 s1 = 13436863, s2 = 14499624, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13436863, Dl.E( ) = 34, 1.6e-05 seconds used appending s1 = 7932628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13320899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1426196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9438859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9438859, s2 = 6577757, int(edited[s2]) = 0 s1 = 9438859, s2 = 6577757, d1 = 27, d2 = 8 Dl.O(d1) = 114389377,100366183,260035101,86410128,258170587,38759941,30176908,22788144,255112865,4864253,4864254,7687288,11553293,16572266,22788145,256436839,48681584,60077853,72815133,86410139,86410140,100366201,114389390,114389391,105873305,105873304,91665077,91665078,77737304,269509667,52655358,64554979,64554897,52655289,42269375,42269374,33289257,28442826,21217017,21217016,18918925,13487369,9227721,6043653,6043654,9227723,9227666,6043606,3781547,2265337,1314130,1314131,2265339,3781549,6043611,9227675,13487302,9227777,9227778,255265291,13487305,13487306,255668837,18918985,255265293,254924719,6043669,6043670,9227736,6043663,6043664,9227739,9227735,6043662,3781580,2265351,2265353,3781588,6043675,6043693,6043694 Dl.O(d2) = 62983139,75965977,256157542,50441295,254939898,26624225,270110629,103393908,259466134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9438859, s2 = 6577757, dlinesl.size( ) = 2 s1 = 9438859, s2 = 6577757, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9438859, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 6519351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6692575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9410724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1763220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8219538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8219538, s2 = 14333258, int(edited[s2]) = 0 s1 = 8219538, s2 = 14333258, d1 = 8, d2 = 13 Dl.O(d1) = 60629524,49228455,49228456,60629529,73375165,270875391,101915218,87942609,87942608,101915214,115959287,129856719,135919981,121993688,107620209,107620208,116360271,116360272,107620202,93217373,93217374,107620206,121993686,129856713,115959277,103124830,89053937,79100969,79100970,93217358,107620184,113493384,99482828,99482827,88268290,74638218,61845889,257092379,40334354,50361663,61845888,74638216,88268288,269810070,74638254,61845921,50361685,40334372,31645305,31645304,40334367,50361683,61845919,61845909,50361672,50361673,61845911,74638250,88268328,74638273,74638271,88268351,102266492,102266470,258392756,61845894,61845892,74638226,88268304,102266466,88268360,74638277,74638276,260145989,271876145,113071593,99082963,85159619,269791653,47488836,37583877,29036497,21744697,15693556,15693555,268390987,37583861,47488813,50361676,61845913,74638252,71592735,258707665,99082938,113071583,260743346,126925678,116360303,102266531,102266530,116360264,126925683,113071589,99082942,88268349,74638269,61845933,61845932,258907283,99082957,270302635,58870238,47488830,47488829,58870233,71592744,85159603,99082914,85159588,71592730,58870229,47488822,37583870,29036488,29036487,37583866,47488816,58870222,71592713,85159560,93217366,99082925,85159580,71592725 Dl.O(d2) = 263846412,212688785,212688784,216595430,219834217,222567867,222567868,219834204,219834205,219834180,216595407,216595408,216595394,212688757,212688756,216595392,219834156,222567822,224915710,226955101,265166570,226955106,224915718,224915717,264954392,230177596,230177600,228595982,228595981,230177600,228595982,226797342,226797341,228595979,230177598,230299314,230177599,228595980,228595979,230177598,230177597,228595986,228595987,228595990,230177604,230177602,265840194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8219538, s2 = 14333258, dlinesl.size( ) = 2 s1 = 8219538, s2 = 14333258, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8219538, Dl.E( ) = 18, 1.5e-05 seconds used appending s1 = 1103624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1103624, s2 = 1429474, int(edited[s2]) = 0 s1 = 1103624, s2 = 1429474, d1 = 7, d2 = 7 Dl.O(d1) = 28504473,37002169,46880774,58247921,70964469,84528044,98449979,112439440,126304191,126304190,126304189,126304196,139676844,139676845,152399754,164273731,164273730,164273727,152399758,139676849,139676848,139676842,126304192,126304181,126304180,139676830,261847400,139676826,152399736,152399758,139676849,126304200,112439442,112439441,126304198,261305070,126304187,112439439,112439440,126304191,126304190,126304189,126304196,139676844,139676845,152399754,164273731,152399737 Dl.O(d2) = 28504473,37002169,46880774,58247921,70964469,84528044,98449979,112439440,126304191,126304190,126304189,126304196,139676844,139676845,152399754,164273731,164273730,164273727,152399758,139676849,139676848,139676842,126304192,126304181,126304180,139676830,261847400,139676826,152399736,152399758,139676849,126304200,112439442,112439441,126304198,261305070,126304187,112439439,112439440,126304191,126304190,126304189,126304196,139676844,139676845,152399754,164273731,152399737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1103624, s2 = 1429474, dlinesl.size( ) = 2 s1 = 1103624, s2 = 1429474, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1103624, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 1429982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 413114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 413114, s2 = 9190062, int(edited[s2]) = 0 s1 = 413114, s2 = 9190062, d1 = 21, d2 = 28 Dl.O(d1) = 10589903,10589904,255394937,28523113 Dl.O(d2) = 256852627,58265086,258665339,98465760,112455845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 413114, s2 = 9190062, dlinesl.size( ) = 24 s1 = 14163960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163960, s2 = 6510159, int(edited[s2]) = 0 s1 = 14163960, s2 = 6510159, d1 = 17, d2 = 8 Dl.O(d1) = 13283557,16917838,16917841,16919420,11841152,11841151,16919418,23185240,30604220,27958884,23184234,16918688,11840676,7913242,5030495,3045211,3045209,5030489,5030475,5030474,7913216,10669757,10669754,15433823,21425960,28673694,23183832,23183831,16918688,11840676,11840677,16918690,23184238,20797288,14904257,10247569,10247571,11840467,16918373,23183833,30602626,29412674,22082221,15976455,11090735,11090734,15976453,22082217,16919660,16919661,23185570,17773619,17773620,21632480,28906607,21950087,15859873,15859874,11090747,7355393,7355392,11090741,11840370,16918229,23183635,30602416,23184313,21644889,15612162,11841183,7913544,7913543,11841172,16919449,23185265,23759293,18881933,13455623,13455622,12286588,8297524,5352795,3289777,1934600,1934597,3289770,254590253,255557703,17431852 Dl.O(d2) = 255395011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163960, s2 = 6510159, dlinesl.size( ) = 2 s1 = 14163960, s2 = 6510159, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163960, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 9393312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9393312, s2 = 14602518, int(edited[s2]) = 0 s1 = 9393312, s2 = 14602518, d1 = 29, d2 = 19 Dl.O(d1) = 255055338,17450887,17372856,12240836,8266347,8266348,7782963,7782961,7782962,11237694,8609499,8264107,7799395,4945899,2985086,1733069,1733067,1647045,936502,936503,1647053,2839297,2529158,2529157,2985031,2985030,4945814,7799016,4945662,4945663,5326889,3274224,1928422,1101791,1101790,1928415,3278526,5333629,8266458,8266678,5366933,5366932,8317187,12313275,17465347,16173790,12299778,12299777,17264651,12144308,8174057,5243598,5243597,8174056,8263880,255165191,23146214,23146215,23698401,23698402,31188165,24117139,17755995,16169240,16169241,16165986,11233359,7454530,4710034,4710033,7454527,11233356,11235536,16167903,12610116,8558811,254529108,17811896,15669513,10847660,8553089,8553090,11234912,11234911,8553618,5551164,254612375,5551157,3436089,2032634,1164173,1164174,1164180,1164181,2032644,3436099,5551165,5483060,3374108,1985643,1134429,636570,636571,1134431,1985650,3374118,2015479,1152880,646752,358883,358852,358752,196469,196470,358750,646512,267773429,3399498,2004174,1145628,642643,356688,195428,195429,356503,253996,253935,253936,254116119,1397765,1895572,1895571,3232004,4882293,4882292,254758601,4602861,4602862,4540989,2729734,1581710,899204,899205,254229967,4540994,7206996,10896703,8376726,5406039,5406040,8376728,12395273,12436658,12436657,8405386,8405387,7843477,7843476,8280391,12261189,12261195,12261194,11168935,8373000,5403802,3322318,3322317,3326808,3326807,1960603,1119994,628458,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,15305138,17575231,12403422,8382551,8382553,12259024,8279151,5341817,5341816,8279175,12259066,17395802,17569684,23429346,17152338,13497822,13497821,14449400,254735719,4450984,2673958,1548925,1548924,2673956,4450980,7069472,10700504,15474076,17561981,17567701,18948930,13512174,9245517,6055277,6055274,9245511,13512165,10896698,10896699,15733412,21791808,29089768,37640195,47546444,58928793,71650771,85216583,99139489,101693653,87720106,74114381,269867771,257052621,256001137,17337596,12211647,8242465,8242464,12211644,10591017,255028859,21303373,28525074,31123162,28979488,28979487,37523318,38728518,30146993,30146992,30018346,22646045,22026716,15925829,11048941,7324128,4625097,2785313,1615594,1615595,2785316,4625101,7324135,11048951,15925842,22026731,21697539,18536743,18536742,13440986,11465365,7626163,7626164,11465367,16455447,22646047,24115156,24115155,30018348,38003837,29440875,24115176,22435052,16267258,16267257,22435050,23627802,17311851,12187408,8217620,8217619,12187406,17311849,254719600,8217660,12187468,17311920,23627853,23694235,17371874,17371873,255379880,22023406,22023404,29354405,26376323,19642882,15924229,11831665,7906966,5026079,3042208,1771529,1771533,254375355,7906975,254602603,5315249,3264604,3264602,5315246 Dl.O(d2) = 72323357,59588830,48202368,48016100,38105854,255965680,31297887,31297886,29541326,22197995,255892585,16543171,16543170,22754408,23807712,23807077,17474013,12319607,12319606,17474011,16069801,16069802,22197541,29540948,22199716,16070665,16070667,22197560,21985792,15889489,15889490,21985636,15889363,11014737,11014738,12297968,11157873,8011538,8011536,11967822,10388450,6846508,4295978,2568366,1478743,1478742,2568362,4295964,6846455,5369587,3301017,1941504,1109038,622414,345915,345917,622421,1109048,1941525,3301056,5369664,8321648,7507249,7507246,7986324,7986327,8011607,7372525,7372523,11115792,16010638,16253620,11300233,11300232,11014918,7291748,4598182,2766231,1603540,1603538,254346067,7291730,11014883,15889557,21985874,29314007,37882850,47806401,255366902,44375291,55226036,50250321,40230422,34999166,34999169,44377531,51318906,50250487,46468012,40230596,31544222,24040829,17688888,17688886,24040818,31544206,34692175,34692173,43967446,46894910,37015421,31544140,31544139,40230494,44377706,34999328,26917884,20033295,14349943,9859602,9859604,14349951,20033243,20033242,26917782,34999200,44377559,269190176,39457011,30852836,23422145,17145116,12049447,12049448,17145117,268428485,269375173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9393312, s2 = 14602518, dlinesl.size( ) = 2 s1 = 9393312, s2 = 14602518, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9393312, Dl.E( ) = 38, 1.79e-05 seconds used appending s1 = 9684089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684089, s2 = 15346809, int(edited[s2]) = 0 s1 = 9684089, s2 = 15346809, d1 = 0, d2 = 0 Dl.O(d1) = 29986154,22618846,16434178,16434177,21303373,28525075,21695354,255854149,31123162,28979488,28979487,37523318,38728518,30146993,30146992,30018346,22646045,22026716,15925829,11048941,7324128,4625097,2785313,1615594,1615595,2785316,4625101,7324135,11048951,15925842,22026731,21697539,18536743,18536742,13440986,13440987,18863999,23170232,23170231,29802647,29562621,29562622,25079767,18536423,13170969,8978342,5861704,3659514,3659513,5861702,4824943,4824942,7626164,11465367,16455447,22646046,30018348,37919625,29352009,256918393,29440875,24115176,22435052,16267258,16267257,22435050,23627802,17311851,12187408,8217620,8217619,12187406,17311849,254719600,8217660,12187468,17311920,23627853,23694235,17371874,17371873,255379880,22023406,22023404,26376322 Dl.O(d2) = 29986154,22618846,16434178,16434177,21303373,28525075,21695354,255854149,31123162,28979488,28979487,37523318,38728518,30146993,30146992,30018346,22646045,22026716,15925829,11048941,7324128,4625097,2785313,1615594,1615595,2785316,4625101,7324135,11048951,15925842,22026731,21697539,18536743,18536742,13440986,13440987,18863999,23170232,23170231,29802647,29562621,29562622,25079767,18536423,13170969,8978342,5861704,3659514,3659513,5861702,4824943,4824942,7626164,11465367,16455447,22646046,30018348,37919625,29352009,256918393,29440875,24115176,22435052,16267258,16267257,22435050,23627802,17311851,12187408,8217620,8217619,12187406,17311849,254719600,8217660,12187468,17311920,23627853,23694235,17371874,17371873,255379880,22023406,22023404,26376322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684089, s2 = 15346809, dlinesl.size( ) = 2 s1 = 9684089, s2 = 15346809, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 9684089, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1430697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1430697, s2 = 8115968, int(edited[s2]) = 0 s1 = 1430697, s2 = 8115968, d1 = 4, d2 = 15 Dl.O(d1) = 37028355 Dl.O(d2) = 21307833,15337937,267962403,4391256,2631064,2631063,2631076,4391277,6988269,10593518,15338018,16085524,255894637,38128040,257513039,58851270,55331038,44485012,35108017,27022069,27022070,35108020,33038622,33038623,41982280,35108076,35108022,27022071,20130417,14437775,254976931,6527091,4089588,2446557,2446560,4089599,6527110,4352927,4352928,6928680,8609962,5595747,3472575,3472577,5595753,8609974,12677667,17897460,24277912,31791676,39413734,30808639,30808640,39413736,33027948,25301824,25301823,23380279,23380278,30808647,255785342,46336283,46336284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1430697, s2 = 8115968, dlinesl.size( ) = 2 s1 = 1430697, s2 = 8115968, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1430697, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7598894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10167283, s2 = 13342962, int(edited[s2]) = 0 s1 = 10167283, s2 = 13342962, d1 = 12, d2 = 8 Dl.O(d1) = 38008963 Dl.O(d2) = 29344557,37913600,29344555,29344554,29344558,28535019,28535018,37032952,38009419,38009418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10167283, s2 = 13342962, dlinesl.size( ) = 2 s1 = 10167283, s2 = 13342962, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 10167283, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 1431470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1106147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7924753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7924753, s2 = 11656651, int(edited[s2]) = 0 s1 = 7924753, s2 = 11656651, d1 = 6, d2 = 6 Dl.O(d1) = 10006754,10006755,14544164,10610990,10610989,10631892,10631891,15384702,15358754,15358755,21331286,28556876,37057527,46935879,258044343,270302859,58886671,47507565,47507564,58886675,58886672,47507563,47507562,37603679,29055433,21760808,15705482,10872375,7188537,255053089,21760810,17841749,17841751,255119270,5574236,3457872,2049973,1175674,659981,365797,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,16658500,15475941,15475943,11058852,7332830,7265963,7265965,254125588,14096682,9695423,9695425,14092230,9692659,9692657,254441656,8089277,8089279,254915830,9691316,6374435,3999767,3999768,6374442,9691324,6732952,6732953,10247506,14904156,20797191,27958788,29946072,22583109,22583107,21104768,15159909,10454841,8086805,8086804 Dl.O(d2) = 10006754,10006755,14544164,10610990,10610989,10631892,10631891,15384702,15358754,15358755,21331286,28556876,37057527,46935879,258044343,270302859,58886671,47507565,47507564,58886675,58886672,47507563,47507562,37603679,29055433,21760808,15705482,10872375,7188537,255053089,21760810,17841749,17841751,255119270,5574236,3457872,2049973,1175674,659981,365797,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,16658500,15475941,15475943,11058852,7332830,7265963,7265965,254125588,14096682,9695423,9695425,14092230,9692659,9692657,254441656,8089277,8089279,254915830,9691316,6374435,3999767,3999768,6374442,9691324,6732952,6732953,10247506,14904156,20797191,27958788,29946072,22583109,22583107,21104768,15159909,10454841,8086805,8086804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7924753, s2 = 11656651, dlinesl.size( ) = 2 s1 = 7924753, s2 = 11656651, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7924753, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 416411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 416411, s2 = 1106441, int(edited[s2]) = 0 s1 = 416411, s2 = 1106441, d1 = 4, d2 = 0 Dl.O(d1) = 10641202,15360022,255397405 Dl.O(d2) = 28558917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 9669250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8151644, s2 = 14163025, int(edited[s2]) = 0 s1 = 8151644, s2 = 14163025, d1 = 0, d2 = 0 Dl.O(d1) = 79100318,93216570,107619410,103720406,89605562,75823498,75823497,89605561,260203975,117873969,131701053,131701050,129517052,115631995,101591465,101591466,115631996,129517055,142834058,144949072,141564308,128207915,128207916,141564309,154225360,272571479,128207909,114324732,100294148,100294149,100294152,114324738,261754587,141564311,154225363,165981921,176625094,176625092,176625093,186042769,194252620,198080824,190539157,273214378,160647788,148384858,148384859,155638175,271962024,115861364,101815237,87841047,74235905,74235906,87841049,101815239,115861368,115861390,115861391,112487107,260515859,98495292,98495293,98495296,98495300,98495299,112487110,126354758,128195654,114312910,100282488,86320376,78650633,65347466,53345256,53345255,42881026,42881027,42881037,33837787,256684793,33837771,26018445,26018444,33837769,42881015,43385725,43385724,53909915,47515321,37610368,29061124,21765435,15708808,10874540,254630766,2722883,1577920,1577921,2722886,4529641,254747259,15708832,255827566,15373114,10622735,10622734,15373112,21348820,28577959,37082224,28577970,28577969,24633439,256457834,5710014,254427181,2148367,1242041,1242039,1204479,678834,678836,1204486,1204563,678871,678873,1204568,2093637,2166918,2166921,2168594,2168543,2168547,3630638,2168514,2168515,254434617,268007147,268007145,17978934,12969747,8827980,8827979,12969745,18274054,24747442,29567741,38133886,48047360,59439221,71031162,257435395,37069004,28566892,21339657,21339658,28566894,21339659,255031049,7005918,7005917,10616456,15365539,21339653,268611669,46948449,58315278,46948453,46948452,58315284,58315275,58315276,71031148,78650639,65347470,53345259,257242763,33837784,26018454,257242761,270034131,92713307,107053124,121350417,117873972,103720413,89605569,258335461,62859644,62859661,62859664,259296660,269310992,46963247,58330717,71046174,61790123,59103897,47705724,47705723,257010746,50309477,255519624,24099355,17740693,12552549,12552550,12252902,12252905,8509834,8509832,12550911,13202485,13202483,12543542,12543540,14335028,20015393,20015344,20015342,16054841,11147570,7393791,4671080,4671077,4671076,7393785,11147560,16054819,22181121,268632841,29523651,29523652,31601338,24097065,22833409,16612377,15341617,268117595,5532981,5532982,8534828,12581808,12581773,8534807,5532972,3418530,3418529,5532968,8534802,12581766,14334523,16889219,23149910,30186018,22796171,22796172,17771614,12576691,8530069,5528159,5528157,8530065,12576689,254276748,12583987,8536539,8536537,8511734,8511731,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,12540352,17725035,24082314,24087195,17729867,12543700,8503126,8503128,12543697,12543695,17729854,17729982,17729981,17780845,19700787,16889331,16889327,17824664,17704736,17704737,12612020,12612022,16580225,11560480,7693422,4868634,4868633,7693415,11560465,16580202,17708954,17806555,17806556,17387678,17387677,23711187,24102830,24102829,24169368,31677741,30848602,23418302,17142131,254236410,8099508,12047441,17142132,17819328,24187827,24165007,17797203,254416156,22525468,22525467,16894281,11822354,9188449,6014019,6014018,9188443,11822927,8484943,8484946,9189531,7900947,5022360,5022361,7900951,11822658,16894588,23155861,30573386,25465119,18864844,13441715,13441714,18864842,25465114,33212663 Dl.O(d2) = 79100318,93216570,107619410,103720406,89605562,75823498,75823497,89605561,260203975,117873969,131701053,131701050,129517052,115631995,101591465,101591466,115631996,129517055,142834058,144949072,141564308,128207915,128207916,141564309,154225360,272571479,128207909,114324732,100294148,100294149,100294152,114324738,261754587,141564311,154225363,165981921,176625094,176625092,176625093,186042769,194252620,198080824,190539157,273214378,160647788,148384858,148384859,155638175,271962024,115861364,101815237,87841047,74235905,74235906,87841049,101815239,115861368,115861390,115861391,112487107,260515859,98495292,98495293,98495296,98495300,98495299,112487110,126354758,128195654,114312910,100282488,86320376,78650633,65347466,53345256,53345255,42881026,42881027,42881037,33837787,256684793,33837771,26018445,26018444,33837769,42881015,43385725,43385724,53909915,47515321,37610368,29061124,21765435,15708808,10874540,254630766,2722883,1577920,1577921,2722886,4529641,254747259,15708832,255827566,15373114,10622735,10622734,15373112,21348820,28577959,37082224,28577970,28577969,24633439,256457834,5710014,254427181,2148367,1242041,1242039,1204479,678834,678836,1204486,1204563,678871,678873,1204568,2093637,2166918,2166921,2168594,2168543,2168547,3630638,2168514,2168515,254434617,268007147,268007145,17978934,12969747,8827980,8827979,12969745,18274054,24747442,29567741,38133886,48047360,59439221,71031162,257435395,37069004,28566892,21339657,21339658,28566894,21339659,255031049,7005918,7005917,10616456,15365539,21339653,268611669,46948449,58315278,46948453,46948452,58315284,58315275,58315276,71031148,78650639,65347470,53345259,257242763,33837784,26018454,257242761,270034131,92713307,107053124,121350417,117873972,103720413,89605569,258335461,62859644,62859661,62859664,259296660,269310992,46963247,58330717,71046174,61790123,59103897,47705724,47705723,257010746,50309477,255519624,24099355,17740693,12552549,12552550,12252902,12252905,8509834,8509832,12550911,13202485,13202483,12543542,12543540,14335028,20015393,20015344,20015342,16054841,11147570,7393791,4671080,4671077,4671076,7393785,11147560,16054819,22181121,268632841,29523651,29523652,31601338,24097065,22833409,16612377,15341617,268117595,5532981,5532982,8534828,12581808,12581773,8534807,5532972,3418530,3418529,5532968,8534802,12581766,14334523,16889219,23149910,30186018,22796171,22796172,17771614,12576691,8530069,5528159,5528157,8530065,12576689,254276748,12583987,8536539,8536537,8511734,8511731,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,12540352,17725035,24082314,24087195,17729867,12543700,8503126,8503128,12543697,12543695,17729854,17729982,17729981,17780845,19700787,16889331,16889327,17824664,17704736,17704737,12612020,12612022,16580225,11560480,7693422,4868634,4868633,7693415,11560465,16580202,17708954,17806555,17806556,17387678,17387677,23711187,24102830,24102829,24169368,31677741,30848602,23418302,17142131,254236410,8099508,12047441,17142132,17819328,24187827,24165007,17797203,254416156,22525468,22525467,16894281,11822354,9188449,6014019,6014018,9188443,11822927,8484943,8484946,9189531,7900947,5022360,5022361,7900951,11822658,16894588,23155861,30573386,25465119,18864844,13441715,13441714,18864842,25465114,33212663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8151644, s2 = 14163025, dlinesl.size( ) = 2 s1 = 8151644, s2 = 14163025, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 8151644, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 1433624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1107512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6615702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1434824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1434824, s2 = 12253993, int(edited[s2]) = 0 s1 = 1434824, s2 = 12253993, d1 = 4, d2 = 20 Dl.O(d1) = 37095338 Dl.O(d2) = 48825369,48832820,49143526,39216939,39216938,39216983,30619833,30619834,30315974,30315975,30316001,30315998,30619777,39216919,30886944,30886941,33322991,42303747,38691957,30115954,30115952,38691952,35234015,27138930,27138929,22915531,16682250,16682248,22915527,30315784,38902610,40064310,31381489,23884522,23884521,31381485,39216988,37809784,256359360,59130675,48828224,38906461,256994049,60224483,60226753,60224488,48828226,48828225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1434824, s2 = 12253993, dlinesl.size( ) = 2 s1 = 1434824, s2 = 12253993, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1434824, Dl.E( ) = 90, 4.51e-05 seconds used appending s1 = 6510565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162514, s2 = 10255143, int(edited[s2]) = 0 s1 = 14162514, s2 = 10255143, d1 = 28, d2 = 17 Dl.O(d1) = 268016885,5806583,8898446,8908791,8908790,13073668,18405995,13073681,13073682,18405877,18405876,18409766,13076449,13076450,13073741,8908847,8908846,13073735,13073733,18406001,18405999,24911236,32562940,41422588,41422587,41429124,41429125,51670695,41429340,41429129,41429130,51670742,60752464,73501439,63413481,63413482,76456848,76135479,63324082,63324083,76355383,76135629,258975113,63413469,51670704,51670705,63129737,63129738,76135646,63220900,51509182,51509183,63220903,76234322,90041070,101118319,94384611,80330030,66902795,66902773,66902774,80330008,80330013,94384596,94384615,94384594,94384595,80330009,80330010,259134305,259763119,80330017,80330016,80330018,80330019,80330027,66902793,54645571,43902403,43902402,257309432,72665937,86266198,100231724,86266199,257908858,114263909,128148608,136766585,149907360,260398940,108671381,94384662,94384661,108671378,122935621,136766594,149907366,146696766,133449159,119584280,119584279,133449155,133449154,134707817,147834373,160089358,272510380,125443240,125443239,138772021,271779338,133449156,119584277,105353361,91135663,77220955,77220956,91135665,92351577,78317922,65038052,65038051,78317920,92351565,91136840,91135650,78317885,65038011,53055199,53055198,65038010,78317884,65038045,65038044,78317900,77220951,65038012,257226745,33583298,25787532,25787533,33583299,33583301,256669525,53055203,42607393,33583312,25787541,19142819,13668416,9359966,6130803,3835646,3835647,6130804,9359967,13668417,19142821,25787547,33583295,25787555,19142826,19142825,25787551,256152431,25787543,25787544,25787545,33583316,25787550,25787549,33583321,42607406,53055231,53055223,42607414,42607415,53055243,257645214,33583293,33583292,257226743,65038007,65038008,59319159,59319146,47926151,38011413,29449154,29449155,22115484,16002748,11109815,7368380,7368381,7368390,4654859,4654860,254765017,16002776,22115527,29449209,256924219,30361006,29449197,29449198,22959629,22959628,30360370,29796477,22430147,22429583,16262469,11306739,11306740,11109845,11109844,16002787,16723330,16723295,255508609,11681576,7789664,7789665,11681570,11681622,16723327,16263057,11307218,7507196,7507197,11307220,255125257,7789972,4939144,2980480,1730189,983590,983591,1730192,2980488,4939154,7789985,11682018,16723786,11682023,11307143,8323051,5370572,3301555,1941789,1941788,3301553,5370568,8323039,12322111,12447123,17626853,23974804,31470838,38947107,30361017,22959634,16723775,16262954,11307137,7507143,7507142,11307135,16262951,22430142,23974802,23811042,17477189,17477188,23811041,31297045,39971293,38369173,38369172,48280564,59668301,59319175,59319174,59319185,47926180,38011438,29449175,22115493,22115494,29449176,38011439,47926182,59319187,48866209,48866208,60259194,72994893,85641240,72053889,59319184,258114355,47926175,38011435,38011436,269335445,72053886,83829955,70304937,70304938,70304950,57614384,46269826,46269825,57614381,47403348,46269724,46269725,46269828,36417206,27959238,20797582,20797581,27959234,36417201,36417126,27959168,20797531,14904482,10247730,10247731,14904479,14904480,20797580,27959236,256804101,46269714,256267085,27959155,36417118,46269716,46269721,46269722,46269720,36417121,27959161,27959162,20797583,20797584,27959150,36417112,268675809,23670224,268436803,36570262,46434774,46434773,57789909,46434779,46434780,42357600,42357601,257600004,20923667,15016195,15016194,20923666,256280149,42357597,36570278,255384790 Dl.O(d2) = 141524087,141524088,154187564,141524097,128165976,128165975,114282367,114282366,100251958,260027489,100251960,86288936,72690914,59952642,48560529,48560530,59952644,58286009,46920184,46920185,53230643,46920148,37042198,28543216,256315071,46920153,58285978,71001163,58285993,58285992,53242723,53242722,46955623,256325574,37042191,37042192,37075491,37075492,46955622,47114566,37217391,37217392,47114562,42779183,37042195,37042194,46920144,58285970,71001152,78470966,65186878,65186877,78470964,92510612,98488193,92510617,92510618,92510616,78470969,259073227,106822279,107929806,107929805,107929803,107929804,106822273,92510610,78470959,78470958,92510609,79241471,65876964,65876965,79241474,93369570,107792072,107929800,93491953,79355400,65988480,53919792,43394689,34294819,34294818,43394687,53919788,65988475,73226633,60480140,49076978,49076979,58723294,47334463,47334461,258072515,85026373,98951609,112940955,114871654,272186416,122356651,119779693,105546456,105546457,109816617,95613331,81579871,68090172,257331217,44784977,257931701,270675901,258552591,55692317,55692318,258552593,95613279,95613278,109816615,109816727,109816728,271531081,95613341,81579876,68090176,68090175,55692373,44784996,35361014,27238226,27238227,35361001,27238219,20308170,20308171,27238222,35361003,257331219,35361155,256237889,27238217,35360995,44784968,55692337,55692475,44785126,35361157,27238352,20308251,20308252,256237901,21335203,15361844,10613455,10613456,15361849,10613475,7003592,7003591,10613470,15361869,20308106,14574079,254697161,4129115,254697163,14574082,20308276,27238374,35361175,44785150,55692500,258552615,258376928,40787439,256104482,18048309,12794493,8698590,8698589,12794491,18048307,18063473,12997079,8848585,5766961,5661937,3592083,2141663,1236818,254110605,219876,120776,65770,65767,111891,61337,35498,35494,64465,64472,64474,64017,64014,65106,65107,254092037,697732,1232495,254290689,5754900,8831691,8653006,5628196,3497132,3497131,5628192,254881151,17969007,24364618,31892605,257111927,62160262,74971829,86780991,73168357,60421705,60421708,73168369,85052417,71481092,71481093,73323607,60579928,49180241,49180243,60579933,73323615,73168478,65472371,65472372,78802370,86781280,257780100,109744685,109744684,102620182,100761969,86781117,73168465,67824184,67824183,81290335,92908425,258457617,65472369,53452695,42978658,42978657,37461294,28921835,28921834,37461292,47366613,258074573,74972172,62160566,50651513,40601569,31892718,31892719,40601578,42978684,33925268,26092091,19402736,19402737,26092094,33724840,33724839,42754161,42754157,33724835,33724834,268307399,13760833,9430452,6179833,3867081,3867080,2365137,1369349,1369352,2365149,2401167,2401089,2401093,4006615,5843904,254637029,13136984,255286012,12803841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162514, s2 = 10255143, dlinesl.size( ) = 5 s1 = 1731406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1731406, s2 = 9113245, int(edited[s2]) = 0 s1 = 1731406, s2 = 9113245, d1 = 11, d2 = 2 Dl.O(d1) = 44552595,37107633,28599226,21366161,15386760,267993674,21092945,15151083,10449169,255016135,15150697,21092358,28299446,36796758,46682676,46895253,44780245,36798924,36798925,46480176,46480177,46683077,36797354,35175127,255160186,22229444,16095291,16095290,22229442,29576947,38143514,36798063,35227241,27133082,20227203,14514775,14514778,15096758,10411956,10411957,15096762,21019498,28213038,27233916,23569250,18543122,18543121,22170402,16046772,16046773,13175763,13175762,18543244,16302876,11343448,7538247,7538250,11343459,8982068,8982070,11851990,8209144,8209143,12177527,17299253,12177360,8981780,8981782,13175815,12177311,12177313,15041363,15041364,16336025,11366114,11366113,12177387,17299301,23612297,25087734,25087733,32785599,32786207 Dl.O(d2) = 47324644,39027797,30438291,23031600,16788813,11739039,11739040,16788815,23031603,30438296,39027804,48332327,38426578,29869003,22509691,21102347,15157994,15157991,21102334,21455500,15456531,15456533,21455507,255408088,47146578,37432524,37432523,47340311,50255137,47198537,37290264,268211254,256341176,84896649,98823579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1731406, s2 = 9113245, dlinesl.size( ) = 2 s1 = 1731406, s2 = 9113245, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1731406, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 13429099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7925041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7925041, s2 = 7190320, int(edited[s2]) = 0 s1 = 7925041, s2 = 7190320, d1 = 44, d2 = 46 Dl.O(d1) = 10638778,10638777,15393713,21374871,28609851,37120103,47006310 Dl.O(d2) = 210702755,211387476,206379632,263803318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7925041, s2 = 7190320, dlinesl.size( ) = 2 s1 = 7925041, s2 = 7190320, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 7925041, Dl.E( ) = 48, 1.1e-05 seconds used appending s1 = 14163356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1109963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1109972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1109972, s2 = 6510386, int(edited[s2]) = 0 s1 = 1109972, s2 = 6510386, d1 = 1, d2 = 4 Dl.O(d1) = 28614512 Dl.O(d2) = 255397404,15360023,10611984 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9576301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6641236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 125703, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1788709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1788709, s2 = 11658715, int(edited[s2]) = 0 s1 = 1788709, s2 = 11658715, d1 = 0, d2 = 0 Dl.O(d1) = 47028120,37139868,257440457,256860466,28626718,21388613,15404513,255400519,28626720,37139849,255830150,21388636,28626745,30185130,30185129,38768877,47028140,48690711,269356989,72823840,86418629,100374291,114397310,100374290,100374289,114397308,128273362,141623736,131431136,117629042,103498198,89404111,75643018,62698931,51069962,40929532,32152089,32152090,25316161,25316162,32152045,40929493,51069913,62698875,75642965,89404062,103498162,271931727,129687513,115790047,101744419,87771446,74166824,74166825,87771448,101744421,115790049,129687515,261823763,155564013,166854088,155161389,155161388,155564016,166854089,155161390,142517133,129139844,115208135,101130245,87132040,87132041,87132038,73513291,60764166,49360886,39431265,30827076,256484915,49360883,60764161 Dl.O(d2) = 47028120,37139868,257440457,256860466,28626718,21388613,15404513,255400519,28626720,37139849,255830150,21388636,28626745,30185130,30185129,38768877,47028140,48690711,269356989,72823840,86418629,100374291,114397310,100374290,100374289,114397308,128273362,141623736,131431136,117629042,103498198,89404111,75643018,62698931,51069962,40929532,32152089,32152090,25316161,25316162,32152045,40929493,51069913,62698875,75642965,89404062,103498162,271931727,129687513,115790047,101744419,87771446,74166824,74166825,87771448,101744421,115790049,129687515,261823763,155564013,166854088,155161389,155161388,155564016,166854089,155161390,142517133,129139844,115208135,101130245,87132040,87132041,87132038,73513291,60764166,49360886,39431265,30827076,256484915,49360883,60764161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1788709, s2 = 11658715, dlinesl.size( ) = 2 s1 = 1788709, s2 = 11658715, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1788709, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14163360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6510773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6459789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1111802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1111802, s2 = 14532640, int(edited[s2]) = 0 s1 = 1111802, s2 = 14532640, d1 = 7, d2 = 7 Dl.O(d1) = 28643949,37159947,257442285 Dl.O(d2) = 28643949,37159947,257442285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1111802, s2 = 14532640, dlinesl.size( ) = 2 s1 = 1111802, s2 = 14532640, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1111802, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8004935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13316365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1439258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1439258, s2 = 8466389, int(edited[s2]) = 0 s1 = 1439258, s2 = 8466389, d1 = 1, d2 = 1 Dl.O(d1) = 92441362,269636868,65123214,65123213,78405303,78405295,65123206,53138030,256744276,47061541,37169821,28652520,21409709,15421252,15421253,21409710,17808329,17808328,24176464,31684967,40378713,38551672,29982509,22615450,22615449,256421777,48464269,59855056,72592715,86190249,100153147,260621571,259534995,88325131,102320710,116413107,130250023,130250038,130250037,130250024 Dl.O(d2) = 92441362,269636868,65123214,65123213,78405303,78405295,65123206,53138030,256744276,47061541,37169821,28652520,21409709,15421252,15421253,21409710,17808329,17808328,24176464,31684967,40378713,38551672,29982509,22615450,22615449,256421777,48464269,59855056,72592715,86190249,100153147,260621571,259534995,88325131,102320710,116413107,130250023,130250038,130250037,130250024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1439258, s2 = 8466389, dlinesl.size( ) = 2 s1 = 1439258, s2 = 8466389, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 1439258, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14163234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163234, s2 = 9140000, int(edited[s2]) = 0 s1 = 14163234, s2 = 9140000, d1 = 7, d2 = 4 Dl.O(d1) = 36929830,46808169,58175557,52116914,41802398,32880402,32880403,256342586,39737041,39737040,49755810,256342588,35269378,35269377,27165416,27165410,20250900,14531401,14531402,14531406,14531729,9999175,6571543,6571431,4116583,4116584,4116566,254475141,4116571,6571412,4116654,2462308,2462309,4116656,6571548,9999184,14531726,14531725,14531723,14531724,20251316,27165846,35269815,44663390,44663389,55524548,67875106,67875115,67875114,81341881,95390891,95390878,95390877,109633502,123813145,109633513,109633514,123813143,123813144,137528855,150552845,139888987,126524747,126524746,126524742,112660927,112660928,123813141,123813142,137528853,150552844,150552843,261444136,112660926,261104297,260877100,98665130,84735678,71165718,71165719,84735680,84735681,98665135,84735682,71165722,58443499,47067266,47067262,47067261,47067268,37174618,28656372,28656371,37174616,47067265,58443498,58443505,47067274,37174622,28656374,28656373,37174620,47067269,255667844,33723932,33723933,42753190,53202242,53452002,42977944,33924575,26091421,19402045,13878761,13765784,9435306,6183891,3869838,3866506,3866504,3911370,3911368,6247853,3953869,3953868,6308892,9525254,6247991,6247992,6247850,6247849,9525072,13882841,19405850,21919830,255062885,7263423,7263424,10973655,15835457,21919831,29238043,37801222,42984880,42984881,53459737,65480266,71857617,71857618,78810887,65480263,65480264,78810888,92917107,107321551,121702358,121702359,107321558,94380887,94380888,107321556,107321557,108667978,94380890,80325761,66898079,66898080,66898076,54640646,54640647,66898077,58847423,257059964,37554937,43897503,54640650,54640652,54640653,258505021,94380891,108667980,122932148,272075515,108667982,94380894,94380893,94380895,80325763,66898081 Dl.O(d2) = 43897506,34625394,34625395,43897507,54640655,66898085,80325769,94380902,108667986,94380901,80325767,80325768,66898087,58945780,58945781,58945106,47562189,37656137,29106517,29106518,37656139,47562190,255276330,37656155,29106534,29106519,21807881,15746503,10905820,10905819,10906133,10906134,15746812,10906038,10906037,15746364,21807698,29106271,37655822,268631934,37997603,47913505,58945785,47562919,47562920,48546112,59938579,256997614,71666406,71666407,85231545,99153738,259472790,102701654,102701651,88692559,75041753,75041754,88692556,258307639,50698531,40639355,31923455,31923454,40639354,50698517,50698519,50698518,257698093,40639340,31923438,31923439,40639342,50698514,52462319,42109749,33155247,25414171,18822756,13410248,13410246,13410239,9168712,9168711,13410238,18822741,24592993,29223082,37240530,254900676,29225622,21909747,21909745,29225616,33155198,25414133,18822731,13410227,13410228,18822733,25414137,33155205,28709662,28709661,28709650,28709648,28709703,21454896,21454897,18147049,12868200,12868201,16427994,22612306,29222100,28709864,21454968,15456136,15456135,21454965,21906834,15825794,15825793,21906819,15825786,10967088,10967090,15825788,21906821,29222086,37240546,28709782,21454871,15456056,12868203,12868202,18147053,21454844,15456031,15455970,10686587,7059672,7059671,10686585,15455965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163234, s2 = 9140000, dlinesl.size( ) = 2 s1 = 14163234, s2 = 9140000, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 14163234, Dl.E( ) = 8, 4.77e-06 seconds used appending s1 = 186752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 186752, s2 = 9386973, int(edited[s2]) = 0 s1 = 186752, s2 = 9386973, d1 = 31, d2 = 39 Dl.O(d1) = 152280,152277,152646,152645,276624,493253,874572,1540143,2661185,4432738,7043584,10665137,15427435,21417676,28663185,256865091 Dl.O(d2) = 160096958,171323713,181352592,190161871,197767489,204247720,264466425,200286552,193113622,184754384,175180303,164391268,262588294,139810073,126436749,112567598,98573895,84650756,71088151,58371788,47001462,256761814,256235098,15391398,10636916,7021877,7021876,7038470,10658326,15418441,21406142,256323251,47055649,258053161,84721346,98651523,112648008,261103269,152587532,164443339,175224443,184791847,193145759,200315738,206372073,211381115,215475366,265366227,226291989,228142988,229767313,231208969,232502044,233670635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 186752, s2 = 9386973, dlinesl.size( ) = 2 s1 = 186752, s2 = 9386973, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 186752, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 11656664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656664, s2 = 8115740, int(edited[s2]) = 0 s1 = 11656664, s2 = 8115740, d1 = 142, d2 = 128 Dl.O(d1) = 47080499,42978688,33925271,33724840,33724841,37185230,28664261 Dl.O(d2) = 25835744,19182571,13698877,13698876,13698528,9381768,6146204,6146203,9381764,13698519,19182179,13699096,13699097,19182663,13699358,9382369,6146573,6146572,9382364,13698588,13698589,19182113,13698481,13698482,19182118,19182730,25835931,33638480,25835502,19182359,13698685,13698684,19182353,19182766,25835391,25835617,25835215,25835216,25836457,19183159,19183157,25836450,33638319,42667857,53119704,42668407,33638982,25835939,19182732,13699026,9382147,9382148,255283305,25835941,33638894,255689721,19182697,25835874,19183106,19183107,25836405,33638300,33638301,42667836,257823095,65106576,53120003,53119776,53119599,42667707,33638130,33638129,33638132,33638337,42667724,42667990,33638491,33638493,33638767,25835754,25835753,33638763,42667960,33638455,33638454,25835907,19182713,19182714,25835908,33638941,42668371,52061400,53119622,257011888,46353237,256273085,20864768,20864767,20864596,14962569,14962568,20864593,20864564,20864563,268599153,30559698,28032239,20864517,20864516,28032237,36494960,46352932,57702328,46368639,36510345,36510346,46352987,256754200,50257704,50257701,44796729,256556404,35372171,35372172,44796918,55704322,68101752,70549741,57847746,46491722,36625392,28151957,28151958,36625393,44796789,46353124,46353123,40090406,31410514,23920608,23920607,20321151,20321150,27254321,27253984,20320863,20320862,27253982,30864972,30864971,39468860,44803408,44803427,44803387,35378734,35378732,37257059,37257060,47162396,58551006,257889450,68101964,71282515,73389761,73389760,81591604,95625097,86973534,73432268,72345997,59612168,48225948,38316438,38316439,48225955,55710703,68107570,73362041,73362008,68107476,55710589,55710588,68107471,78871943,81591623,68101995,55704625,55704626,48225959,48225960,55704534,68101927,255498796,64782766,68132203,55734357,53511636,53511637,43033550,33976585,27288678,27288677,35413403,268140526,43033219,33976261,26137401,26137402,33976267,30755467,23332825,267761234,39356173,33976484,33976485,43033332,43033414,43033465,43033464,43033497,43033318,43033317,48305606,38395019,29822633,22455423,22455424,29822635,254671092,39356222,30755507,23332854,23332855,28046533,26137192,19441248,13911631,13911629,17793169,254949938,23332846,17066211,11975655,8021888,8021889,11975658,17066216,23332859,30755516,33976028,31670219,31670218,40364932,39851472,39851471,38395024,29822641,22455428,22455429,19441733,19441732,23332844,23332843,30755493,39356109,30755405,23332829,17066202,17066201,267814602,39356176,30755489,255296778,39355984,39355983,256174168,59612046,59612210,64211291,77358692,72345870,59611966,48225592,38315966,29747184,29747183,38315964,268315934,48225501,48225502,51557078,51557079,59611785,59611786,52511274,42153307,33194331,25448734,25448739,33194334,41334564,38316514,29747680,29747681,38316518,38316064,33077730,25347413,18766196,18766197,18766144,13363086,13363084,18766136,25347293,29747356,38316177,38316178,29747357,22387772,16229156,16229155,22387770,29747354,38316173,48225141,38315417,38315418,38315410,38315411,38315542,48225231,59611757,59611826,72345836,72345794,59611728,48225186,48225185,48225214,38315510,29746818,22387367,22387368,29746820,38315512,29747894,29747895,38315636,48225324,51392413,41199852,32379811,24759907,24759908,32379814,38316991,32379789,32379792,38317008,48226491,51392365,41199805,32379773,24759882,256082323,41199797,46922250,37044390,37044391,46922254,40193617,31507893,31507892,40193614,37044398,28545010,21321333,21321332,268370708,41199755,32379720,24759851,24759850,32379718,41199754,41199723,32379688,32379691,35412926,35412927,40500923,31805721,24290984,24290983,28544725,21321147,21321148,28544728,37043997,38121353,29555991,22211038,16080144,15350212,15350213,21321071,28544621,36636778,28161903,28161901,28544956,37044331,41199872,268925486,46693119,268447124,36809748,36809747,40325837,50295585,46921872,46921871,58287674,46922212,46922211,58287869,53377993,42911690,42911691,51973508,48337846,48337845,59426976,48034639,48034638,57610718,51392426,51392427,57860286,57610701,50352858,40325828,31636376,24129185,24129184,31636372,40325821,46266273,36413517,36413516,36413523,36413522,46266280,46266266,46266265,57610743,57610830,46266356,36413586,36413585,46266323,57610790,59426998,59426999,61836957,50352866,41665624,32754295,32754296,41665627,51973497,58287850,58287849,51973599,51973598,51973516,41665634,32754300,32754301,41665637,48034647,38121320,38121321,48034651,57610714,57610715,57610705,46266243,40325845,31636389,24129191,17765821,17765822,24129197,27955334,20793908,20793907,27955330,36413519,32701430,32701429,41604331,41604249,32701371,32701370,41604246,51904039,49802505,49802506,51973434,51973433,57610876,46266398,36413620,36413621,46266402,51903966,51903967,41665591,41665590,49272147,49272148,60672741,63788637,63788562,51973427,41665681,32754339,32754340,256037190,49272090,60672712,51973422,41665567,32754256,25062061,18523201,18523202,25062067,23325087,17059319,17059318,23325081,30746400,30746300,23325017,255144277,8011447,8011448,11967665,17059305,23325050,30746360,25062391,25062392,32754780,32754724,25062353,25062352,32754717,41666159,41666516,32755044,256615993,51973947,41666013,32754599,25062260,25062259,32754505,32754503,41665870,51973745,41665988,32754582,25062254,25062255,32754586,41665995,51973917,63788922,256869538,63789009,63789010,76898391,89591907,89591908,84636497,258055442,46987579,46987581,58357294,67558740,55215106,44364135,44364134,41040663,41040662,51196629,62846065,75809729,70723188,269473080,36745554,36745555,46632931,41040482,41040481,49279917,52242339,256624607,25243891,18673884,18673885,256109839,41905036,41905037,38454115,32965739,25243897,18673888,13281890,9065993,5928140,3706768,3706767,5928138,9065989,13281879,255647765,32965691,41904981,52242251,64089754,74247247,61468749,268685944,37960115,29395654,22065269,15960573,11077262,11077258,15960567,14207155,13715182,13715183,13697774,13697762,11124707,7378774,7378773,11124706,11834641,11124838,7378863,7378862,11124835,16022550,14341269,9852743,9852744,14341272,16022612,14206944,10037963,6596713,6421153,4028338,4028339,2414014,2414015,254466261,6421303,4028415,4028416,6421306,9766478,7378831,6421151,254681951,14206608,14206624,14206623,19831926,14206729,9766310,9766311,9766246,9766245,14206652,14206895,18048682,19832082,22139721,19832286,254987183,10037911,9766708,6421473,4028512,2414010,2414011,1424021,810150,810149,1424019,2463515,4118660,6575006,10005247,11004847,13918207,9552925,6268244,3924626,2349544,2349545,3924637,6268234,6268230,7056342,10682028,8906058,8906057,13069684,18400464,255744776,25952623,19288466,19288465,15819559,15819558,18770068,13366503,13366504,18770070,17773480,12578340,9133681,9133682,13364699,18768348,21347251,15371812,15371811,15871026,15871025,21965203,255216488,8719414,8719413,12824934,13817233,10005232,10005233,14542012,19832625,24891896,24891897,255600037,255600039,25837017,24506134,18077565,12816230,9124378,5970663,3733855,3733854,5970662,9124376,13352185,18752945,15872790,13452180,13452181,18877053,255329468,20106704,18047741,12794012,12794010,15875130,11003948,11003950,8698239,5661714,5661717,7284525,8744091,8744090,9136831,13368853,10963225,10963224,15819552,21898214,19088945,19088946,25478494,33226853,42187060,52545786,64419870,71916086,59177796,47778772,37855376,37855375,47778770 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 562131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 562131, s2 = 14920292, int(edited[s2]) = 0 s1 = 562131, s2 = 14920292, d1 = 8, d2 = 11 Dl.O(d1) = 14419457,14419458,20108769,268827499,24697075,18227740,18227741,24697076,32310330,41123271,46928331,38462809,268827497,35083928,28672729,28672727 Dl.O(d2) = 58468615,71190499,259926263,261105835,262231235,143577588,143577587,143577589,143666384,130341234,258502234,88409474,88409473,88409476,74777986,61981780,61981776,50489785,255312930,33244700,254962418,42206003,52566508,256720972,91539213,258502232,100022001,86058746,256410976,38436471,29877598,255094790,16347723,11380396,11380397,254581104,7103740,7103643,7103644,10752204,15546464,254263510,16325418,16325419,22499660,29862378,27015341,20122947,20122946,27015073,20122533,14430913,14430912,11376899,7558365,4779440,4779441,7558367,11376903,16341199,22514753,21560783,16330477,11361562,7548390,4773852,2877412,2877411,4773849,6549971,9966045,14484635,12168506,8200395,8200396,12168507,16694665,17321023,22015685,22015684,29347577,27098598,20199119,14493538,9972379,9972378,14493536,12212230,12212229,16561923,22777086,23575526,23319020,17261912,17261914,23573372,30410160,23653544,23653543,23661812,23661813,254390304,23638465,17322775,17322776,23638466,31124413,30166416,22777424,22777425,22481601,16310238,11348028,7540663,7540664,11348030,16310241,22019843,22019844,22021148,22021149,23008993,254839170,11724298,16769893,14570345,14570343,20303075,254520926,268080988,29355456,22024739,22024738,16348023,16348028,20074974,16331009,16331010,12157382,8188072,267771414,3213674,5257690,8188066,12157379,17277692,16234166,16234167,22394197,29754858,29879631,22523418,17320296,12211216,8241999,5313736,3263059,3263058,5313746,8242022,12211250,17337144,254585310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 562131, s2 = 14920292, dlinesl.size( ) = 16 s1 = 13463901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13463901, s2 = 13485702, int(edited[s2]) = 0 s1 = 13463901, s2 = 13485702, d1 = 0, d2 = 1 Dl.O(d1) = 49900515,39879050,31197756,31197757,31075488,23772982,17443984,12296352,8304863,8304864,12296353,17443986,23772988,31257711,257060947,61427167,74205740,87809025,99334635,85530852,71942904,59203762,47804277,37880577,37197144 Dl.O(d2) = 24438818,24438819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13463901, s2 = 13485702, dlinesl.size( ) = 2 s1 = 13463901, s2 = 13485702, "passes" = passes Sat Dec 09 04:19:03 2017: s1 = 13463901, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 6800180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6800180, s2 = 14104593, int(edited[s2]) = 0 s1 = 6800180, s2 = 14104593, d1 = 161, d2 = 169 Dl.O(d1) = 258656668 Dl.O(d2) = 9319191,6104647,3819686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6800180, s2 = 14104593, dlinesl.size( ) = 62 s1 = 462125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 462125, s2 = 14081394, int(edited[s2]) = 0 s1 = 462125, s2 = 14081394, d1 = 1, d2 = 1 Dl.O(d1) = 84107738,75565035,71065483,58349221,49341127,49341128,60744249,57868859,57868860,60757923,49354768,39425072,39425071,49354769,49341165,49341166,60744293,61541909,50063792,50063793,61541901,61541900,73493319,60744290,60744289,73493316,87111995,257607736,73603790,87225934,101226868,99153741,85231550,71666413,58944673,58944674,71666415,60757943,49354795,257610621,73507090,87125955,101124037,113143752,115305135,112271466,98289762,98289763,84607059,84607058,98531580,87125960,73507098,60757946,60757947,60757936,49354791,49354792,60757937,258356670,60682210,60682209,73429878,75027754,62204842,62204843,75027756,73429863,71637831,58917244,58917243,58917252,47536319,40365289,31670577,31670578,40365293,50400590,61891120,74684724,84950906,71375002,58638410,256334778,76430389,63386567,63386568,60319981,48921325,38997459,30408423,23003640,16764084,11716588,11716587,255510193,30408422,38997456,48921322,60319980,60319973,48921316,38997446,38997447,40965169,40965170,41325607,32545450,24896502,18394279,13065135,13065136,18394282,24896505,32545453,38997471,38997470,48921332,256013196,23003708,16764118,11716611,7817881,4960054,2995077,2995076,4960052,7817877,11716603,16764106,23003682,30408506,38997453,38997454,31912673,24380837,17981886,12743951,12743952,17981888,24380838,31912674,40627368,50685424,40627327,31912634,31912636,40627328,48921451,38997568,38997569,257118495,40759220,269433729,48921471,38997581,30408529,30408480,23003670,16764101,11716598,7817872,7817871,11716595,16764097,23003665,30408470,32479198,32479199,38997500,48921369,48921375,48921376,58638406,51546964,41325564,256087853,24838656,32479154,41325561,51546957,47245026,37335173,28797527,28797526,254738004,15517959,15517958,21531822,28797532,37335181,32185876,24896186,24896185,24896103,18393949,18393950,24896107,31912614,31912615,28446390,21531817,15517955,10732340,10732339,15517953,21531814,18344225,13022719,13022720,18344064,13022572,8867025,5780579,5780578,8867024,13022571,18344060,21531801,21531800,24838644,18344203,13022702,13022700,18151681,12871479,8753286,5698890,3545908,3545909,3602497,2149804,1243186,1243184,2149803,3602492,5780661,8867153,8902813,5809410,3623609,2163883,2163882,3623607,3623503,2163811,2163812,3623508,5809256,5809405,267925255,13064901,13064902,18189997,12901525,8775970,8775969,12901523,18189994,12995219,8847148,5765931,3591422,2141249,1236530,1236533,2141254,3591430,5765946,8847172,8902666,5809295,3623524,2163826,1251953,1251952,267807891,5809287,8902658,12871463,8753276,5698883,5698882,5765941,5765940,254897047,8753237,8753236,12871400,12871455,12871454,254892477,8786873,8666554,5638412,5638413,254882503,17990681,24390634,17990684,12751460,8951961,8951960,13022746,18239113,12937700,8801777,8801778,12937702,18239116,24710877,18239100,18239102,268280033,12995225,8847151,8847150,12871405,12871437,8753261,5698873,3545898,254626757,12871428,17985554,17985555,18212002,18212001,12937709,8801787,5733440,5733441,8801789,12937713,12383201,8367853,8367852,12383198,17553672,255618641,17982257,12744217,12744218,17982261,18783481,17553704,12383224,8367863,5400589,3320552,3320550,5400586,8367857,12383208,17553688,12908101,8780758,5718824,5718823,8780753,12908095,17982110,12744120,8660605,5633768,5633767,8660602,12744111,17981749,12743857,8660431,8660430,12743854,17981743,24380625,17982116,12744125,12744123,12744132,17982124,255602137,17981752,24380636,24381054,31912896,24381595,17982496,12744386,12744385,17982493,255602225,8660767,5633871,3501195,3501197,5633874,8660772,12744379,17982247,12744211,12744210,17982243,17833606,17833607,17982197,12744179,8660644,5633796,5633797,8660647,12744184,17982022,12744366,12744188,12744189,255602197,31913114,40627821,50685885,49354810,39425101,39425102,47106755,47106754,58484954,47106757,37210008,28685876,28685877,255399742,21346883,28575718,37079692,46960363,49354753,39425060,39425061,47106847,37210083,37210082,37210125,37210126,47106884,47106826,37210066,28685908,21436048,21436049,28685910,21436055,21436054,28685919,37210089,47106856,47106850,37210085,37210084,47106848,47106840,47106839,58484971,47106768,37210021,28685884,28685883,37210020,257446719,71206879,84776004,73345633,60600528,49199890,49199889,60600525,60333722,48935856,48935855,60333721,70677014,60333719,48935854,39012442,30423046 Dl.O(d2) = 84107738,75565035,71065483,58349221,49341127,49341128,60744249,57868859,57868860,60757923,49354768,39425072,39425071,49354769,49341165,49341166,60744293,61541909,50063792,50063793,61541901,61541900,73493319,60744290,60744289,73493316,87111995,257607736,73603790,87225934,101226868,99153741,85231550,71666413,58944673,58944674,71666415,60757943,49354795,257610621,73507090,87125955,101124037,113143752,115305135,112271466,98289762,98289763,84607059,84607058,98531580,87125960,73507098,60757946,60757947,60757936,49354791,49354792,60757937,258356670,60682210,60682209,73429878,75027754,62204842,62204843,75027756,73429863,71637831,58917244,58917243,58917252,47536319,40365289,31670577,31670578,40365293,50400590,61891120,74684724,84950906,71375002,58638410,256334778,76430389,63386567,63386568,60319981,48921325,38997459,30408423,23003640,16764084,11716588,11716587,255510193,30408422,38997456,48921322,60319980,60319973,48921316,38997446,38997447,40965169,40965170,41325607,32545450,24896502,18394279,13065135,13065136,18394282,24896505,32545453,38997471,38997470,48921332,256013196,23003708,16764118,11716611,7817881,4960054,2995077,2995076,4960052,7817877,11716603,16764106,23003682,30408506,38997453,38997454,31912673,24380837,17981886,12743951,12743952,17981888,24380838,31912674,40627368,50685424,40627327,31912634,31912636,40627328,48921451,38997568,38997569,257118495,40759220,269433729,48921471,38997581,30408529,30408480,23003670,16764101,11716598,7817872,7817871,11716595,16764097,23003665,30408470,32479198,32479199,38997500,48921369,48921375,48921376,58638406,51546964,41325564,256087853,24838656,32479154,41325561,51546957,47245026,37335173,28797527,28797526,254738004,15517959,15517958,21531822,28797532,37335181,32185876,24896186,24896185,24896103,18393949,18393950,24896107,31912614,31912615,28446390,21531817,15517955,10732340,10732339,15517953,21531814,18344225,13022719,13022720,18344064,13022572,8867025,5780579,5780578,8867024,13022571,18344060,21531801,21531800,24838644,18344203,13022702,13022700,18151681,12871479,8753286,5698890,3545908,3545909,3602497,2149804,1243186,1243184,2149803,3602492,5780661,8867153,8902813,5809410,3623609,2163883,2163882,3623607,3623503,2163811,2163812,3623508,5809256,5809405,267925255,13064901,13064902,18189997,12901525,8775970,8775969,12901523,18189994,12995219,8847148,5765931,3591422,2141249,1236530,1236533,2141254,3591430,5765946,8847172,8902666,5809295,3623524,2163826,1251953,1251952,267807891,5809287,8902658,12871463,8753276,5698883,5698882,5765941,5765940,254897047,8753237,8753236,12871400,12871455,12871454,254892477,8786873,8666554,5638412,5638413,254882503,17990681,24390634,17990684,12751460,8951961,8951960,13022746,18239113,12937700,8801777,8801778,12937702,18239116,24710877,18239100,18239102,268280033,12995225,8847151,8847150,12871405,12871437,8753261,5698873,3545898,254626757,12871428,17985554,17985555,18212002,18212001,12937709,8801787,5733440,5733441,8801789,12937713,12383201,8367853,8367852,12383198,17553672,255618641,17982257,12744217,12744218,17982261,18783481,17553704,12383224,8367863,5400589,3320552,3320550,5400586,8367857,12383208,17553688,12908101,8780758,5718824,5718823,8780753,12908095,17982110,12744120,8660605,5633768,5633767,8660602,12744111,17981749,12743857,8660431,8660430,12743854,17981743,24380625,17982116,12744125,12744123,12744132,17982124,255602137,17981752,24380636,24381054,31912896,24381595,17982496,12744386,12744385,17982493,255602225,8660767,5633871,3501195,3501197,5633874,8660772,12744379,17982247,12744211,12744210,17982243,17833606,17833607,17982197,12744179,8660644,5633796,5633797,8660647,12744184,17982022,12744366,12744188,12744189,255602197,31913114,40627821,50685885,49354810,39425101,39425102,47106755,47106754,58484954,47106757,37210008,28685876,28685877,255399742,21346883,28575718,37079692,46960363,49354753,39425060,39425061,47106847,37210083,37210082,37210125,37210126,47106884,47106826,37210066,28685908,21436048,21436049,28685910,21436055,21436054,28685919,37210089,47106856,47106850,37210085,37210084,47106848,47106840,47106839,58484971,47106768,37210021,28685884,28685883,37210020,257446719,71206879,84776004,73345633,60600528,49199890,49199889,60600525,60333722,48935856,48935855,60333721,70677014,60333719,48935854,39012442,30423046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 462125, s2 = 14081394, dlinesl.size( ) = 2 s1 = 462125, s2 = 14081394, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 462125, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 8344837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656652, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10170821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10170821, s2 = 14301139, int(edited[s2]) = 0 s1 = 10170821, s2 = 14301139, d1 = 0, d2 = 0 Dl.O(d1) = 254859865,12481761,8452739,5460384,5460385,8415090,5430697,5430698,5434759,3340968,3340969,5434761,8419705,5434171,3340591,3340590,254599291,12451303,12452292,8424653,8424583,8424584,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,3351310,5439947,5439948,5451507,8441949,8410926,5427701,5427700,267911593,255184267,16408072,11424498,7594281,7594280,254958646,17918309,22795209,267868548,7692642,254795167,11554298,7688180,267832887,1700249,1700248,2931549,4865025,2951449,2951450,2957447,2957448,4894206,4807090,2897209,2897210,4807092,3729697,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11606349,7726377,4890526,2947106,2947109,4800337,4864377,4864378,7687436,7687435,5965236,3730249,3730247,2953531,2953530,4894384,4864249,2931091,2931090,4864244,7687276,7728094,7728092,7748833,4907431,4907430,7748826,11413272,7584707,4797424,4797421,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906119,4822618,7483579,7483576,7483562,7483561,11273405,7612481,4816161,4816162,4820019,4819931,2904539,2904538,2954075,4901379,7740775,7590473,4801315,2893912,2893909,4801303,4905300,4905299,7746180,9144742,11553031,11427318,7596282,4905314,4905316,5871281,8992931,11448870,11608358,10025189,10025188,13950181,16421427,16421350,11437462,11437463,11437464,12837511,16569917,16569916,255501618,11796409,11796139,7877663,7877662,11796137,16864212,23123947,26396178,26396177,21204085,15238258,10511906,10511905,15238255,21204081,21204136,15238305,10511934,10511935,15238309,11466919,7627330,7627331,11466925,16457668,17748726,24107607,23786370,17455521,12305399,12305400,17455524,23786373,28233042,28233041,28427016,28427015,22611050,16426919,11442256,11442258,16426924,11547102,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633221,17840068,24210191,22081279,21483027,21483025,28740593,22164386,22164385,22626869,16441079,11455209,11455208,15160010,15160009,21104887,28207834,36698658,46585270,40414806,33188422,25442916,25442918,29720204,22364054,22364053,29720201,37853846,29285618,22363625,22363624,22888208,19656115,19656116,26390447,30170651,22781931,22781932,22782032,16567956,16481949,11549958,9692081,8580445,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547291,9692840,9692839,11838421,16915702,17123195,16564236,11837387,7911111,5029254,5029252,7911103,9688016,9688017,14084501,18338457,18338456,17025332,11940297,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,16577432,16577433,21104656,23179079,28315000,22081054,22081053,23179148,16914282,16914281,23179146,29452083,30599687,23181025,16915996,16915995,23181023,16956854,11869093,11869094,16956855,23229693,23396154,30818899,23389773,23389438,17117600,17117601,268094706,12337952,8335075,8088902,8088901,11556727,7690346,7690347,8089928,8089929,9970706,9970708,14491329,19065811,13611213,13017822,8863286,5777503,3599832,267855211,13017805,267784424,11563168,7695821,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,2934730,2949875,1710757,972294,972293,1701221,967115,967116,1701226,2933241,4867767,7692203,11558975,11607170,16639429,11626707,11626708,11558968,8625163,8625164,11424496,254958646,17918309,22795209,267868548,7692642,254795167,11554298,7688180,267832887,1700249,1700248,2931549,4865025,2951449,2951450,2957447,2957448,4894206,4807090,2897209,2897210,4807092,3729697,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11606349,7726377,4890526,2947106,2947109,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Dl.O(d2) = 254859865,12481761,8452739,5460384,5460385,8415090,5430697,5430698,5434759,3340968,3340969,5434761,8419705,5434171,3340591,3340590,254599291,12451303,12452292,8424653,8424583,8424584,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,3351310,5439947,5439948,5451507,8441949,8410926,5427701,5427700,267911593,255184267,16408072,11424498,7594281,7594280,254958646,17918309,22795209,267868548,7692642,254795167,11554298,7688180,267832887,1700249,1700248,2931549,4865025,2951449,2951450,2957447,2957448,4894206,4807090,2897209,2897210,4807092,3729697,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11606349,7726377,4890526,2947106,2947109,4800337,4864377,4864378,7687436,7687435,5965236,3730249,3730247,2953531,2953530,4894384,4864249,2931091,2931090,4864244,7687276,7728094,7728092,7748833,4907431,4907430,7748826,11413272,7584707,4797424,4797421,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906119,4822618,7483579,7483576,7483562,7483561,11273405,7612481,4816161,4816162,4820019,4819931,2904539,2904538,2954075,4901379,7740775,7590473,4801315,2893912,2893909,4801303,4905300,4905299,7746180,9144742,11553031,11427318,7596282,4905314,4905316,5871281,8992931,11448870,11608358,10025189,10025188,13950181,16421427,16421350,11437462,11437463,11437464,12837511,16569917,16569916,255501618,11796409,11796139,7877663,7877662,11796137,16864212,23123947,26396178,26396177,21204085,15238258,10511906,10511905,15238255,21204081,21204136,15238305,10511934,10511935,15238309,11466919,7627330,7627331,11466925,16457668,17748726,24107607,23786370,17455521,12305399,12305400,17455524,23786373,28233042,28233041,28427016,28427015,22611050,16426919,11442256,11442258,16426924,11547102,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633221,17840068,24210191,22081279,21483027,21483025,28740593,22164386,22164385,22626869,16441079,11455209,11455208,15160010,15160009,21104887,28207834,36698658,46585270,40414806,33188422,25442916,25442918,29720204,22364054,22364053,29720201,37853846,29285618,22363625,22363624,22888208,19656115,19656116,26390447,30170651,22781931,22781932,22782032,16567956,16481949,11549958,9692081,8580445,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547291,9692840,9692839,11838421,16915702,17123195,16564236,11837387,7911111,5029254,5029252,7911103,9688016,9688017,14084501,18338457,18338456,17025332,11940297,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,16577432,16577433,21104656,23179079,28315000,22081054,22081053,23179148,16914282,16914281,23179146,29452083,30599687,23181025,16915996,16915995,23181023,16956854,11869093,11869094,16956855,23229693,23396154,30818899,23389773,23389438,17117600,17117601,268094706,12337952,8335075,8088902,8088901,11556727,7690346,7690347,8089928,8089929,9970706,9970708,14491329,19065811,13611213,13017822,8863286,5777503,3599832,267855211,13017805,267784424,11563168,7695821,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,2934730,2949875,1710757,972294,972293,1701221,967115,967116,1701226,2933241,4867767,7692203,11558975,11607170,16639429,11626707,11626708,11558968,8625163,8625164,11424496,254958646,17918309,22795209,267868548,7692642,254795167,11554298,7688180,267832887,1700249,1700248,2931549,4865025,2951449,2951450,2957447,2957448,4894206,4807090,2897209,2897210,4807092,3729697,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11606349,7726377,4890526,2947106,2947109,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7380683,257465269,58767899,58767900,58767936,257465273,37473405,255850951,21654512,24422035,31975604,40722613,50826584,258935829,258700033,58767972,58767934,268925923,28931966,256343491,28932025,31975601,24422033,18010098,12763727,255850955,255046857,10807276,15619824,21654538,28931979,28931982,21654541,21654540,21654536,15619821,15619820,21654534,24422036,18010100,12763729,10807257,7141166,4496369,4496370,7141170,10807262,10807278,10807279,255046855,10807271,15619818,21654532,18010103,12763731,8674580,254425177,3507944,5643776,8674584,12763734,18010106,21654548,255046859,7141192,254742367,4496381,4496382,4496380,2701662,254338515,7141187,10807289,15619831,21654508,18010104,15619841,267966453,4496384,2701664,1565331,1565332,2701666,4496385,254742369,10807291,10807285,10807286,12763724,8674575,8674576,12763725,18010095,12816402,8714020,8714019,12816400,10807342,7141221,4496402,4496401,255046871,21654628,256343495,21654630,15619908,15619909,21654632,28932090,28932093,21654635,255850967,256063935,28932116,21654664,255046875,7141230,4496407,2701678,2701677,4496404,7141226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10170821, s2 = 14301139, dlinesl.size( ) = 2 s1 = 10170821, s2 = 14301139, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10170821, Dl.E( ) = 2, 1.22e-05 seconds used appending s1 = 1442552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8460880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13271543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13271543, s2 = 9492301, int(edited[s2]) = 0 s1 = 13271543, s2 = 9492301, d1 = 32, d2 = 9 Dl.O(d1) = 1291433,2226593,3718342,5946021,9089244,13307849,15001741,10366335,6829067,6829066,10366333,10319501,6789184,254708695,10319504,6789186,4256374,2544563,1465969,1465968,2544560,2529214,2529213,4230080,6750710,254322035,2533977,1462142,827587,467144,262850,145632,145631,262845,467130,737144,419053,236481,236475,419024,466647,826568,1460211,2533947,4238081,4275343,2556098,2226311,1291301,1291300,1473931,2549016,2549017,4263539,6779928,4249851,2540675,1463805,828367,828366,737574,737575,1292289,2228260,3721346,4272857,5206143,5206144,6789667,6789669,5956708,5956707,6346691,3981965,3981963,5932250,8127374,8127375,12085721,17187865,18692613,14116892,14116893,13304629,10283196,6758824,4235354,4233799,4233800,6756334,254913753,254913755,10307561,10307562,14975228,19586421,20946253,23481476,17198326,13582752,9300367,8596176,8596174,12095289,8134289,5211596,5211592,8134281,5953696,3723258,3179995,1861398,1599921,909567,513037,513040,909578,1599937,2760005,3175511,5204793,6760445,6760443,6255910,3916250,2344190,2344191,3819664,254345297,2759965,4587574,7274436,7274433,7274434,10989056,15854892,21943422,21943420,21943421,15854894,15854890,15854888,15854889,21943419,29265137,37830878,47753317,47144042,37238823,268383064,255032938,10685798,7059081,7005935,4403843,2639710,1524772,1425002,877465,865827,491376,275800,152588,152587,276427,492792,873716,1538899,2659534,4430635,7040846 Dl.O(d2) = 52256679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13271543, s2 = 9492301, dlinesl.size( ) = 2 s1 = 13271543, s2 = 9492301, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13271543, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 1442747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6429073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1117280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1117280, s2 = 14094327, int(edited[s2]) = 0 s1 = 1117280, s2 = 14094327, d1 = 1, d2 = 2 Dl.O(d1) = 28740022,21482437,15479001,10704011,10704010,255407171,21482428,28740011 Dl.O(d2) = 95605858,109809075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1117280, s2 = 14094327, dlinesl.size( ) = 2 s1 = 1117280, s2 = 14094327, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1117280, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1643127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1643127, s2 = 5243927, int(edited[s2]) = 0 s1 = 1643127, s2 = 5243927, d1 = 12, d2 = 63 Dl.O(d1) = 41729077,32808739,254677272,13186000,8988459,5868312,3664026,3664027,254335727,254502525,10707489,255407593 Dl.O(d2) = 4659836,7375909,11120268,16015937,11120241,11098776,11098777,11120274,11120275,11120035,7375751,4659750,4659749,4661312,4659767,2807362,1628636,926080,521989,292581,292582,521997,926093,1628655,2807417,4659881,7375509,255450555,29464813,38026900,47940620,59332385,72066694,72066693,85653981,99603950,113619067,113619074,127492840,140850563,140850553,140850552,153528431,165321243,176014928,185487603,193753853,200842084,206824140,206824138,206824139,210724852,214933961,218396514,221305738,265514271,227841926,229497119,229497118,229497129,227841941,225957619,225957620,265822497,229497124,227841929,225957610,223797729,223797730,225957612,265861404,228328145,266115135,229936137,228328152,265500616,225803999,223623142,221105471,218161297,214651769,264668932,221105469,223405023,220823806,217792981,217792980,217792984,214162767,209742266,209742262,204352175,204352176,197890967,190309709,181529884,171529136,160324199,148078722,134954484,121144081,259704207,92556732,106875790,112676056,98681660,259075200,258446688,259075198,269101988,257829742,71185730,269310132,37189974,28668435,256325027,47084846,47084847,256184000,255303942,84931682,98858860,112847357,256703766,139901226,139901228,140046671,257263762,164463823,152736766,152736767,258475914,161702524,149411901,136162203,136162204,149411904,161702528,172859994,180012581,262443857,261406575,119075831,104889811,90718810,76846985,63742247,51932038,51932039,63742249,76846989,90718814,104889802,119075817,132895681,119075827,119075826,119075825,104889807,90718807,90718808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1643127, s2 = 5243927, dlinesl.size( ) = 8 s1 = 6743016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6743016, s2 = 2778706, int(edited[s2]) = 0 s1 = 6743016, s2 = 2778706, d1 = 41, d2 = 8 Dl.O(d1) = 258001804,57833694,258636797,47192756,37284205 Dl.O(d2) = 81614192 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9346778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9346778, s2 = 1445377, int(edited[s2]) = 0 s1 = 9346778, s2 = 1445377, d1 = 1, d2 = 0 Dl.O(d1) = 40230365,31544040,31544041,38005712,38005711,257504089,23904109,17559909,12389119,8372223 Dl.O(d2) = 37285267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9346778, s2 = 1445377, dlinesl.size( ) = 2 s1 = 9346778, s2 = 1445377, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9346778, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 9109106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7866642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7866642, s2 = 7168285, int(edited[s2]) = 0 s1 = 7866642, s2 = 7168285, d1 = 31, d2 = 25 Dl.O(d1) = 255649855,268648318,3716032,5942737,4262311,4262308,6797416,10329028,14998566,255409043 Dl.O(d2) = 263504369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7866642, s2 = 7168285, dlinesl.size( ) = 32 s1 = 10153529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1447902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1447902, s2 = 5843517, int(edited[s2]) = 0 s1 = 1447902, s2 = 5843517, d1 = 67, d2 = 56 Dl.O(d1) = 37331163,28793874,21528929,21528928,28793872,28758089,21498761,21498528,21498529,28757881,37291488,37326897,37326898,29560308,255642084,255040828,15519046,10733042,7091475,254336512,254737900,255840039,21498755,255410868,12681872,10713091,7077460,7077397,4455681,4455682,254736471,15491739,15491738,15492103,21498906,28757823,28757821,21526307,21526308,28391776,28391779,36888633,42442379,38247532,29682656,29682654,25340711,18760699,18760698,15513964,10729653,7089344,4463796,4463797,7089350,10729664,15513980,15491776,10712924,10712922,15491770,15491795,15491797,18541282,13174443,12681869,12681867,13174283,15492023,10713107,7077470,4455731,2676688,1550458,881467,881466,1550454,2676679,4455712,7077454,10031252,10713169,15492110,21498917,21172518,15213645,15213643,21172509,28391816,24253261,24253262,25085722,18541334,15514077,10729727,7089389,7089388,10729721,15514064,21461582,15461338,15461336,15513973,15513975,17902313,21528330,21528331,18541368,13174500,8980720,5863314,3660595,3660593,3660570,3660568,2843223,2843220,2682130,1553735,1553734,2682127,4464351,7090274,10731054,15515950,21528925,21528931,21528930,28793876,37331164,37331159,37331155,28793866,21528924,21528923,28793864,37331151,37331160,37331161,37331153,28793865,28793864,37331150,47241102,58634616,71371391,258066723,47241110,37331157,37331156,47241109,58634622,71371395,84947514,84947513,84947532,259020070 Dl.O(d2) = 218909474,221761654,224209176,226331138,228178877,265981717,232531648,233698002,234758364,235724255,235724254,236602752,237403680,238132174,238795161,239404591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1447902, s2 = 5843517, dlinesl.size( ) = 40 s1 = 6695498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6695498, s2 = 14153184, int(edited[s2]) = 0 s1 = 6695498, s2 = 14153184, d1 = 21, d2 = 17 Dl.O(d1) = 257456023,37333295,28795796,28795795,37333293,47243269,58636943,258691325,90759131,76880521,63771265,51956418,41649614,32740179,255923854,16428187,11443510,7609880,7609881,254913036,8965738,13153929,18513613,18746326,13346274,13346272,18746324,254908866,13273690,11515367,11515368,16523143,19464065,13929542,9561000,6273707,6273709,9561009,8643173,8643175,10292050,6765934,6765935,10292054,11515203,11515245,16522968,11515895,7660410,4846722,4846723,7660413,11515900,16523784,22729155,28003876,20839155,14939852,10275169,6752672,6752673,6753415,10276341,14941435,16524248,11516294,11516293,10377412,6837982,4290415,2565120,1477099,835175,835173,1477069,2565053,4290301,6837768,6743502,6743503,4422474,4422476,7030189,10647469,15404640,21388800,28626968,37140139,47028438,58400292,58400270,58400272,71117946,84682491,98607472,112602847,126471845,126471863,112602861,98607490,84682499,84682498,98607484,112602858,112602876,112602875,126471878,139843468,152557138,151602433,138901682,125568394,111759980,111759981,98607500,84682503,84682502,97835270,83974037,70446484,57751232,57751233,70446489,58400282,47028430,37140133,28626967,28626968,37140139,47028438,58400292,58400270,58400272,71117946,84682491,98607472,112602847,126471845,126471863,112602861,98607490,84682499,84682498,98607484,112602858,112602876,112602875,126471878,139843468,152557138,151602433,138901682,125568394,111759980,111759981,98607500,84682503,84682502,97835270,83974037,70446484,57751232,57751233 Dl.O(d2) = 37140130,47028423,58400269,71117939,84682483,259255156,126471843,139843432,152557104,139843443,126471849,126471848,125568390,111759976,97835266,97835267,98607501,84682503,84682502,97835270,83974037,70446484,57751232,57751233,70446489,58400282,47028430,37140133,28626967,28626968,37140136,47028433,58400284,71117957,84682500,98607493,112602838,112602836,112602835,98607459,84682477,71117937,256815290,37140129,37140130,47028423,58400269,71117939,84682483,259255156,126471843,139843432,152557104,139843443,126471849,126471848,125568390,111759976,97835266,97835267,111759977,261608193,163482199,152557131,152557133,164416177,152557140,152557138,151602433,138901682,125568394,111759980,111759981,98607500,84682503,84682502,97835270,83974037,70446484,57751232,57751233,70446489,58400282,47028430,37140133,28626967,28626968,37140139,47028438,58400292,58400270,58400272,71117946,84682491,98607472,112602847,126471845,126471863,112602861,98607490,84682499,84682498,98607484,112602858,112602876,112602875,126471878,139843468,152557138,151602433,138901682,125568394,111759980,111759981,98607500,84682503,84682502,97835270,83974037,70446484,57751232,57751233,70446489,58400282,47028430,37140133,28626967,28626968,37140139,47028438,58400292,58400270,58400272,71117946,84682491,98607472,112602847,126471844,139843435,138901692,125568400,125568401,138901693,151602438,163482211,174325668,183984272,192447583,199734655,205898292,264705495,218593105,221480607,223954611,226096505,227962086,229600777,231057193,232364276,233546187,234620877,235599813,236491769,237305727,238046110,238719174,266841767,239905341,240431008,240918843,241370374,267078223,242174719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6695498, s2 = 14153184, dlinesl.size( ) = 2 s1 = 6695498, s2 = 14153184, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6695498, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 13164869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13164869, s2 = 14134825, int(edited[s2]) = 0 s1 = 13164869, s2 = 14134825, d1 = 72, d2 = 50 Dl.O(d1) = 93327141,84951533,71375706,58639246,254136574,37336106,28798402,28798403,37336108,47245950 Dl.O(d2) = 254881098,46475011,254503760,16040201,16040202,11250160,7468034,4719450,4719446,2843278,2843277,4719478,7092905,10668724,7046243,7046244,10668726,15432363,21424011,21528973,15515986,15515987,21528975,255411000,255041168,10494290,6919999,4347302,2603629,1502503,1502504,2603634,4347310,6920011,10494311,15213634,21172492,28391793,21534008,21526369,15522181,10735321,7092950,7092949,10729709,10729710,15492117,15514013,14960590,10730939,7090186,4464286,4464287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13164869, s2 = 14134825, dlinesl.size( ) = 30 s1 = 6513340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6513340, s2 = 11491712, int(edited[s2]) = 0 s1 = 6513340, s2 = 11491712, d1 = 22, d2 = 16 Dl.O(d1) = 255429170 Dl.O(d2) = 232526846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6513340, s2 = 11491712, dlinesl.size( ) = 2 s1 = 6513340, s2 = 11491712, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6513340, Dl.E( ) = 70, 3.98e-05 seconds used appending s1 = 8236469, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13313121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13313121, s2 = 9827820, int(edited[s2]) = 0 s1 = 13313121, s2 = 9827820, d1 = 23, d2 = 57 Dl.O(d1) = 21538240,21538241,28804985 Dl.O(d2) = 53465470,257248331,33936297,26102312,26102311,33936295,42990650,53465715,65486562,78817024,78816878,65486590,53465736,42990560,42990561,53465738,42990666,42990665,53465563,42990362,33935968,256689787,42990281,33935860,33935859,26102540,19412297,19412298,26102542,33936549,33935901,33935902,26101960,26101961,33510142,33510138,26102144,26102143,19412327,19412326,26102483,26102609,26102607,26101874,19411794,19411793,26101870,33935828,26102324,19412151,13888162,13888161,19412144,26102315,33936304,33936250,26102273,26102275,19412157,19412158,26102335,26101889,19411802,19411803,26101892,19412274,19412275,26102026,19411904,13888018,13887961,13887960,19411812,13888008,9529586,9529587,13888015,19411898,19411865,19411863,26101974,33935941,33936335,26102347,19412167,19411837,13887981,13887982,19411839,26101930,26102519,33936245,33935795,26101838,255295003,9529549,9529547,13887938,19411768,13888168,13888169,19412164,26102343,255962138,42990797,33936475,26102469,19412250,13888214,13888215,12775757,8684123,8684122,12775752,18025395,24441263,32000058,32000057,32000077,32000076,37091127,39126154,42990706,42990147,42990145,40755055,33936393,26102392,26102393,33936398,40223615,42990719,33936381,33936383,42128256,40755067,40755068,37187077,33936057,26102105,19411962,19411961,26102110,33936067,33936087,42990481,53465676,257444768,62468377,60521634,257588306,30595264,30595263,39192491,40754993,32000013,24441223,18025373,18025374,12775766,8684126,8684125,12775761,18025407,24441289,32000111,40755100,50870118,62468373,75384367,89129462,78817107,65486675,53465865,257124008,78817105,84363527,84751003,71182292,71182291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13313121, s2 = 9827820, dlinesl.size( ) = 2 s1 = 13313121, s2 = 9827820, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13313121, Dl.E( ) = 68, 2.69e-05 seconds used appending s1 = 1448828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1120897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1449172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13437555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1449890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1450330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1450330, s2 = 14143681, int(edited[s2]) = 0 s1 = 1450330, s2 = 14143681, d1 = 5, d2 = 6 Dl.O(d1) = 37381075 Dl.O(d2) = 192534561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1450330, s2 = 14143681, dlinesl.size( ) = 2 s1 = 1450330, s2 = 14143681, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1450330, Dl.E( ) = 50, 2.88e-05 seconds used appending s1 = 9070475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9070475, s2 = 16176548, int(edited[s2]) = 0 s1 = 9070475, s2 = 16176548, d1 = 13, d2 = 5 Dl.O(d1) = 71835131,71835235,59095488,59095487,60203950,60203951,59162142,254754472,48806875,38884622,38884623,48806876,255061784,84986239,90849040,98911857,84986240,71412192,58678239,47287078,47287079,50062133,50062134,50063520,50063521,61541657,74318034,87921184,101895131,89928536,258352178,132037952,143171196,129839924,129839922,118311192,104156382,90030943,90030945,90030693,76226064,76226063,90030692,104156185,118311026,132126398,145358800,157765123,262224614,126766104,261669203,132126393,271797754,112913406,271777767,112913398,98925691,85000800,85000795,71427690,256926178,37394948,28854371,21581903,15558082,10761305,7110321,4476918,4476921,7110331,10761320,15558109,21581925,28854399,21582785,21582784,28854490,21581996,21581995,15924510,15924509,20200674,20200673,15559988,15559987,21584498,28438144,25460688,18860637,18860636,25460683,33208447,37993190,29430991,22099295,22099294,29430989,37993184,29438846,22105658,15994594,15994595,22105666,28854281,21581801,15558005,10761271,10761272,15558007,15560157,255413535,28857916,37396933,47306378,58696611,52519740,42161554,42161553,33202616,33202615,42162557,46816083,36937746,28438276,28438277,36937749,38000967,29437984,22104995,15994161,11103111,11103112,15994162,22104996,22104960,15994141,15994143,22104968,23617353,23618460,23618459,23616875,23616874,28855758,31100894,31102032,31102034,23617775,23617777,31102234,31100390,23616498,23616495,31100375,39778799,49798618,61277951,49798823,256383982,30732578,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30732326,39330666,256478640,255664457,13434962,9185423,9185422,13434960,18856403,25455246,256478614,39781222,268901096,255782732,25460108,33206973,39330133,39332368,256644706,40409057,269007103,257023494,49257834,49257833,40802375,32042649,24478050,23374931,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,10442391,10917662,10917660,10442342,6884005,4321427,4321426,6884001,10442337,15140366,14421201,9919707,6519482,6519479,9919697,14421187,18856606,25455503,256644203,28169087,20988727,15075740,15075741,20988731,25459101,30430245,39019607,48942701,42161883,33201970,25455177,25455178,23983493,17637465,17637464,13435304,9187108,6012867,6012868,9187109,13437541,256129021,42167917,52525998,64399448,77567700,259659583,119958995,133826592,147071717,133826613,119959012,259659591,77567706,77567707,91498826,260276343,91498815,77567697,64399446,52525997,52525996,64399443,77567691,77567692,91498806,105723275,105723274,100066465,86100773,72501759,59767302,59767303,72501761,86100778,260698467,101602812,87636044,87635986,74032505,61252492,61252426,257047619,31077556,31077558,39755219,49773781,61252450,61252446,49773771,39755182,31077525,256500911,256048335,24282959,31796841,40491758,47365373,58751400,258698379,74815336,67796918,55454983,55454984,67796919,72501808,59767353,48384499,256416431,268408115,16383133,11402208,7576543,4792021,4792020,7576542,255099019,22562591,18712586,13319212,9099385,5953508,3723136,2229234,1292800,737826,737827,1292803,2229238,3723147,5953521,9099404,255001675,6785528,4291528,4291493,2565772,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,9092131,5948213,5948214,6785878,4254016,4254015,6785873,6797245,9784840,8597315,8597317,10356412,6820486,6820485,10356410,15028696,20936895,28113847,36586469,46452404,57808374,70509569,84044786,97915551,270311058,62848649,62848651,258960239,103710825,117864982,103710712,103710710,117864980,129860424,120062647,120062648,133906234,131692675,117865084,105652685,105652687,119892133,125665717,125665718,261836511,260482858,101919230,101919229,115963120,129860407,143189032,142492846,260271958,87107705,73488939,73488940,74818410,88451809,102455399,95655632,81622759,68132932,68132933,81622760,77494470,77494469,91425862,105652673,114075947,100049514,95655638,95655639,271670763,272245294,105652688,259464016,77494479,258555651,55735043,55735042,258886319,74344429,77494490,258216782,42109765,42109766,52462340,64330038,258839520,59501592,258128293,59501586,48113593,48113594,269809673,74818441,62021558,50529519,257687317,270405817,258296481,62021548,74818425,74818395,62021511,50529474,50529473,62021509,258176766,62021526,74818405,85564378,71977231,270315457,40493832,31798740,24284651,24284652,256555785,50529516,50529514,50529487,40493809,40493808,50529486,62021525,59239779,59239780,257687313,50529503,62021529,50529490,40493811,255943248,47756638,47756637,59155332,256443148,99418620,99511270,99511271,259357611,71977240,59239785,59239784,258646834,269771432,106912665,106912664,121179381,112217713,98239284,84332002,269531640,70773276,84332008,259077630,111936058,97996137,84120609,259886885,97996124,97996119,97996118,260488909,139096357,259491648,98124180,258659560,111936054,125755873,129212638,259286278,139096370,139096371,139096372,258034852,105923833,91716403,77788616,64605728,58707889,47319008,37905865,29337034,22005630,22005629,29337033,37410602,28869369,255414137,7114620,4479519,254505331,255043849,21594542,21595760,21595759,28870711,21595740,268387783,37412066,28870699,28870700,37412068,46712006,258026505,70800294,70800293,71416045,58682312,47291243,37382013,28842223,21570983,268073766,7104700,7104699,10753783,15548542,21570979,28842222,37382010,47291239,257829038,47293936,257458837,50106653,40086085,31405697,31405698,40086086,50106656,50106660,50106659,61586594,74363084,270556604,74363080,87965279,260073852,101937915,98595202,84672024,71108899,71108900,259301375,71108898,58392124,58392122,47020923,47020924,58392123,71108862,58392111,47020916,37133410,268918223,37133412,47020917,58392108,58392117 Dl.O(d2) = 59349989,47959280,38046123,29482738,22144664,16026117,255074542,4662651,2809030,2809031,4662652,7380416,11127206,11773451,11773452,16836062,23090377,29482744,268939805,49824214,61304094,71901208,85486241,87751095,74146775,269332266,47932727,255875842,29048688,21755092,21755091,29048686,34603106,26615707,26615708,31181094,39863537,31181098,31181099,255439656,21755095,255065496,255875844,43873137,43873138,54615338,257493598,26615735,19807003,255313921,9753072,6412730,6412729,9753070,14187627,19806998,26615728,256722211,54615413,54615432,54615433,66873091,80302348,94358833,101723768,87751066,87751067,259761196,116145612,127697314,113827802,113827803,127697316,141047067,137285047,137285046,137285044,123552868,109361391,105528453,105528452,260861981,259943070,259008332,77202062,91119232,84553132,70990197,257251528,28535680,21312894,21312893,28535678,37033697,37478766,255656292,28611563,37122179,28612721,28612722,37033699,46910727,47010515,58381593,70990201,70990202,60658173,49258650,269371569,73403771,84553134,269821654,115082108,108708999,94421930,80368368,73403809,73403806,257603841,39333431,39333432,49258642,39333400,39333399,30735875,23316528,23316529,30735884,39333580,39333347,30735922,30735923,39333501,30736086,30736087,23316691,17052775,17052777,23316696,23316840,23316839,30736305,257603951,60658227,73403815,71031798,58315921,46949003,46949002,58315919,71031795,73403888,257603849,39333510,39333511,49258806,60658348,73403891,87018443,101011151,104772412,98289672,84380576,70821923,255932938,98289673,257555966,258788514,132797731,125523537,111716165,97793439,83934368,70408144,70408145,83934370,97793441,104772413,90600251,271837385,101011157,101011156,101011155,101011153,98289677,84380581,70821925,70821924,84380577,98289674,112271377,257633882,97793446,83934373,70408147,57714042,46364590,36506271,36506273,46364593,39333374,30735754,256431915,16527404,16527403,255932941,256975383,38689373,38689369,38689370,269354127,86331538,100293858,114324462,128207629,129591976,115705912,115705913,272597733,167119518,261257336,141563753,128207286,114324098,100293441,86331031,86331030,86330831,72732975,59995487,48603580,48603579,49923643,268412494,49923633,39903906,31227060,31227059,255490962,31227079,31227078,39903923,49923650,50235528,257083984,26381323,19647067,14082150,14082151,19407260,22102428,22102429,28414989,28414988,36912675,29435015,29435016,25407533,25051139,18514503,13154694,13154696,18126145,18514508,13154699,13154698,18126228,12853061,8740449,8740450,12853063,15479680,15479683,15479682,21483333,18126434,18126436,24566457,18126450,18126224,12853058,12853056,254884980,254888709,10660000,10660001,15420579,21408837,24965522,25967211,25967210,256326370,29434983,22102571,22102570,29434982,32149721,32149618,24566262,18126209,12853051,8740445,8740446,12853054,255613189,32149621,40927123,47060281,37168533,28651372,254884978,10659944,7039625,7039626,10659948,15420502,268383639,32149667,37169826,37169824,47061547,269442899,40970682,256579109,24566338,18126288,12853115,8740487,8740489,12853120,18126297,15378083,14588329,255762147,24468733,18048754,18048755,21418266,21418267,28664020,29696556,24603391,24603392,24468614,24468615,18048619,18048620,18757501,267813670,5973342,3735531,2236509,1297019,1297020,254297949,4438750,2665582,2665583,4438751,7051913,5741702,267922673,8755526,5700491,3547109,2112270,2112269,3547107,5700488,8755525,6299532,254673415,5700511,5700514,254890153,15360173,10612105,7002475,7002476,10612094,15360161,21333041,15406607,10649030,7031335,4423281,2654026,254334031,7031332,10649028,15406605,255831353,22752774,21391200,255033341,10649021,15406599,12504791,12504792,15070604,10393764,6850854,4299154,2570351,254156181,471341,836445,1479826,2570345,4299140,6850831,6812403,5939881,254362598,2224097,3714159,4242627,4242625,6762707,4238133,4238132,6762703,6794780,4260378,4260376,4249895,4249894,6772330,5946400,3718637,3718633,2226785,2226789,3718692,4263610,6761980,6762172,4309032,4309035,4234327,4234330,6757161,6815619,6815618,255005891,14976670,10309192,10309193,12081893,8124594,5205112,3175675,1859037,1859038,3175677,5205115,8124598,10303946,6784527,4253090,4253089,6784487,6784489,8596089,10313958,8594697,5584464,4245300,2538302,2538303,1462637,1462639,2538387,4245624,5208292,5211364,4284267,4284272,2758783,2758785,3466197,2055402,2055404,3178959,5210594,4265758,2550386,1469178,1469181,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,5584092,3464505,2054576,1178784,1178786,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283566,6824871,6824869,10361290,10382556,12660952,12660951,17877436,17584628,12411879,8388720,5413164,3327460,3327461,254854565,12506299,254552946,6882909,6882907,8967488,254603719,5475540,8470858,255189689,8471544,8471543,12505753,17681940,12506319,12506318,12504444,8470659,7002456,4401124,4401125,7002458,10612078,15360140,12506335,8471961,5476189,3369808,1982945,1982946,3369816,5476206,7723913,4889034,4889033,7723908,11602712,12504863,17682045,17683744,12506148,8471915,8471917,12506272,12505609,8471461,8471460,12505607,17683055,24034362,31537040,256975250,17682722,268001641,8471313,255579227,31536444,257084335,50240620,40220541,40220542,50240622,61719471,61720936,50242134,40222024,31535895,24033394,24033395,31535897,39452547,30848419,23418093,255536016,254827354,254573785,3165866,3165865,5189034,8099433,12047349,17141989,17682707,24033879,31536434,30843646,23413755,17138237,254259632,8097122,12044374,12047058,8099247,5188932,5188930,8099245,12047055,12046835,8099087,5188831,5188830,5189049,5189050,8099453,12047000,17141508,23417454,17142008,16526879,11518542,11518541,16526872,12047346,8099429,8099428,12047341,16526044,267839802,4847477,2920946,1694317,963416,963417,963422,1694323,2920953,4847486,7661692,11517802,16526074,12047042,8099235,5188925,3165799,1853248,1057685,1057686,1853251,3165805,5188935,8099250,12047064,17141552,17358022,22731258,23417096,23417097,17141214,12046724,8098973,8098972,12046723,16526085,16526086,22731330,23413695,23413694,30111605,22731337,16526092,11517823,11517824,16526094,17142009,23418123,30847361,30847362,29938986,22576004,254070042,7581389,4795265,2890568,2890569,4795267,7581393,5528864,3414761,3414760,5528860,8530845,12577609,254104082,31643393,40332134,49130319,39203505,254386898,23188401,30607579,254827350,60530570,73275085,72739764,72739765,86336814,100298522,102263559,88265318,74635129,61843008,50359073,40332132,40332131,50359070,60780989,49379809,49130330,49130331,267839780,254827352,255536000,57955530,46578947,255149688,30847369,23417101,23417102,30847371,36692568,36692567,28202489,21010817,21010818,28202491,256827527,255984144,36692580,28202497,255358910,46456202,55686707,256807676,256763873,27230516,20301309,20301310,27230517,35353676,33056397,33056398,41999839,35353672,27230515,20301306,14568792,255342187,20301320,20301321,17660233,12488416,12488415,14568791,20301324,268555871,35353688,256763881,35353689,27230531,255426177,10883191,14368198,10886724,7202494,4537723,4537721,7202490,5030783,3045373,3045374,5030785,4499016,2703387,2703386,4499013,267966571,9900428,9900429,14394134,255327289,11590613,9887887,9887888,254807815,4971831,3003009,1743983,254248465,4971815,7205970,7205971,10895434,15731811,20147633,256223275,44413973,55261412,270073683,43413340,53940222,61707118,254312232,40203478,31516709,24015408,254960374,40203467,40203466,40203472,40203473,31516710,31516711,256191002,61707127,74489937,88102096,102088990,116146543,113631700,99617967,270600156,102088988,259745372,143386353,155927353,167539719,261735326,185015792,272864568,262555546,167539723,155927357,143386357,130055368,116146545,116146544,130055365,143386354,155927351,272763846,187253910,187253915,193346929,185015793,176925948,166328337,154609023,154609022,166328334,176925947,260610892,154864016,152889510,140198573,140198577,140198590,140198592,141965594,149222155,135992165,135992164,149222148,154608827,154608829,152889545,152889547,154608938,260610894,128604707,141965540,154608940,154608924,154608917,154608916,166328241,175475443,164721311,164721310,164721319,164721318,154608899,141965501,128604682,128604681,141965499,154608895,166328223,261187926,141965533,154608936,142229252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9070475, s2 = 16176548, dlinesl.size( ) = 2 s1 = 9070475, s2 = 16176548, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9070475, Dl.E( ) = 14, 1.79e-05 seconds used appending s1 = 1450637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 837734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 837734, s2 = 14163051, int(edited[s2]) = 0 s1 = 837734, s2 = 14163051, d1 = 79, d2 = 90 Dl.O(d1) = 21580395,15556903,254884304 Dl.O(d2) = 35215042,255753863,20218827,20218826,268049797,6562005,269195954,254982321 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13438459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8075192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9337118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7571959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7571959, s2 = 11278680, int(edited[s2]) = 0 s1 = 7571959, s2 = 11278680, d1 = 55, d2 = 75 Dl.O(d1) = 268229716,9693151,9689258,9689257,14086704,19652840,26387315,28880100 Dl.O(d2) = 52395555,52395556,64250922,77400782,91319411,95079160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7571959, s2 = 11278680, dlinesl.size( ) = 20 s1 = 1200298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1453354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1454526, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10349317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9410235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8185288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8070059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9350093, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7584943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1129402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8138894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8138894, s2 = 1459267, int(edited[s2]) = 0 s1 = 8138894, s2 = 1459267, d1 = 6, d2 = 8 Dl.O(d1) = 256347017,37520372 Dl.O(d2) = 37520371,47428033,50445574 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1139736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1460696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13599455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321179, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1461782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9119902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9119902, s2 = 1132766, int(edited[s2]) = 0 s1 = 9119902, s2 = 1132766, d1 = 1, d2 = 1 Dl.O(d1) = 9713654,9713655,14118680,18147313,24593363,31081776,29608155,22257698,16118301,11196373,7429080,4694412,2828497,1641109,1641110,2828498,4694415,4694431,7429101,11196390,16118307,11197755,254352714,4695176,7430139,11196387,11196386,11196375,11196376,254236620,7429031,4694411,4694410,7429075,255082917,16119688,16119689,22259203,29609501,27125976,20221390,20221389,27125974,256125918,27126001,20221401,20221402,27126005,35219327,44600104,48088523,52091488,52091486,52091484,59470117,55449395,51346039,51346038,48088494,48088490,59478178,48088582,256645000,22259534,16119981,11197813,11197814,16119945,19029668,13583098,13583097,255677683,22259476,22259475,29609758,34013186,43070992,53549923,64150066,64150067,72215461,72215460,65574824,53549920,48088294,38176439,38176440,48088296,59478070,64718884,58168330,58168329,48088364,38176490,38176489,46800513,46800512,52805003,52805004,58167629,46800207,36922128,36922129,46799279,57872068,46516172,46516169,256555538,33415014,257215657,64718810,74559519,77907034,77907035,72800577,258422978,58168307,46800857,46800856,58168306,257215648,64210494,52360422,42021573,33077683,25347388,18766182,18766183,25347392,33077690,257189921,64210511,63818182,52002823,41691151,41691150,52002820,255832052,28618477,28618478,37130178,47017631,38743408,30160531,30160532,38743414,48665218,48664958,38743252,38743253,48664962,60061808,60061946,48665089,48665090,60061950,52360431,48665104,38743335,30160489,22772065,16557704,11541171,11541172,16557708,22772068,22772083,30160518,38743388,48665179,60062018,71105597,84668878,86396613,86396591,72800549,70880669,58166604,46799265,46799264,58166599,255085942,40532803,38056552,38056551,40532578,31834790,24316101,17929986,17929921,12704187,8631313,8631314,254529032,17929930,22171232,16047464,11142680,7390901,7390900,11142679,16047462,268085490,11142798,255085872,254529028,11142698,7390912,7390911,11142695,16047478,16047516,11142719,11142720,16047521,22171307,29512460,38076933,46333654,36477975,29512463,22171266,22171265,22171329,16047549,11142735,7390940,4669419,4669418,7390939,11142749,16047580,16047543,16047544,22171251,19051081,19051080,25671922,29512523,38076780,29512307,22171116,22171117,22171118,255890403,25694123,33466732,29512294,22171103,22171085,22171086,29512279,29512363,22171179,16047421,11142649,11142648,13613908,9321962,9321961,9312561,254932419,13613742,9321824,6106260,6106259,6106266,9321836,9321838,9321839,13613765,19069272,255679055,13600043,9312563,6100292,3816902,3816903,6100294,6106254,3820656,3820655,6092692,9291072,9291073,6106355,3820714,254206965,758218,758217,1328081,2289054,3820710,6106348,9321855,6106278,6106276,9321853,13613778,9361737,6132092,3836413,3810961,3810959,6090879,254931315,13616627,9323782,9323786,13580057,16266107,255809242,16468669,11474540,11474541,11309230,11309229,16266119,22433854,29800223,31367695,40048127,35337568,27213315,20284810,20284809,25660396,21597419,15569819,15569820,19084003,18581709,13204914,9001726,9001727,13204915,255645183,32840598,29059001,255425417,10873527,10873528,15707355,21763572,28374608,25789183,25789182,33584876,31755532,24243887,17867808,12653168,9360844,6131451,3836022,3836020,6131448,9360837,13669586,12651928,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,9360891,6131482,6131478,9360899,13669697,15707245,10873473,10873470,15707234,15707256,15707255,12655905,8592491,5583019,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,10873364,15707061,10873652,10873653,15707531,21763259,24249581,23411547,23411546,25694266,25694265,25757689,31756684,31756685,25757693,19119134,19119135,25757696,25757677,255279145,9347352,6122451,6122452,9347354,13650567,19119132,25757690,33546464,31759657,31759656,33546470,33867134,40451597,40451596,50487877,61980007,53002763,42562824,257224569,33546450,25757680,25757681,33546453,42562845,39409652,39409651,49327130,39398925,30795936,30795935,39398837,39398838,49327052,44572023,39398914,39398913,49327048,59524572,48137424,42513126,42513125,38227197,29660895,22308553,16161806,16161807,22308555,29660898,38227201,38227045,29660911,22308568,22308567,29660909,38227211,268943733,38227198,38227228,38227229,38227231,29660928,29660929,29660779,28339804,21127723,21127724,16161821,11228962,11228960,16161816,22308573,29660922,29661188,29661282,22308877,16162043,16162042,22308874,29661258,22308847,16162014,11229150,7451042,7451044,11229153,16162019,22308856,29661237,22308828,22308826,22308689,22308690,22308507,22308508,29660845,29661102,22308721,22308722,29661105,38227175,29660868,23784277,23784276,31269509,39944296,39944346,31269593,31269513,31269514,31269530,23784296,17453884,12304032,12304031,17453882,13354541,13354540,15911048,15911049,22012683,22012775,29344803,23086490,16833239,11771577,7859215,4988150,4988149,4611006,2776269,2776270,4611008,7306857,11032268,15911039,22012674,16627852,11598474,11598473,16627838,16627839,254798349,7720831,255117555,11598389,7720748,254365569,2944739,4886843,7720751,11598393,16627752,22852931,30247387,38830854,48750938,60145287,72881798,86477233,86477343,72881935,72881934,86477239,72881802,60145291,60145290,72881801,84405938,86453614,72858071,60121247,48726317,47277028,37367076,37367077,47277030,41158500,32343784,32343785,37600339,37600340,42152352,33193623,33193624,37600336,47504335,37713666,37713665,47636063,58883633,58883632,58883649,47504337,37600338,29052160,268213897,15703017,21757827,21844546,29153115,37600156,29052004,21757694,21757693,29052002,37600153,29052345,21757975,15703120,10870510,7187258,4528010,4528009,7187256,10870506,15703113,21757969,29052340,26125477,19430936,13902960,9541056,9541055,12085240,17187268,23467196,23037888,16793381,254230092,28087945,28087946,36557273,37037197,29476699,29476698,38039629,47953069,59344302,72078232,60841686,49439933,47953082,38039644,29476708,22139797,22139796,29476706,38039640,47953078,43286845,43286844,38050739,29487232,22149003,16030020,16030021,22149006,22148871,16029972,16029971,11130416,7382932,4664346,4664347,7382934,11130421,11130412,7382930,7382929,11130409,16029968,22148948,268632133,31086979,23602784,17290145,12169211,8201207,8201206,12169209,17290141,23602780,23602776,17290139,17290138,23602774,31086969,39765314,49784876,59354830,59236152,47839005,37917922,29349355,29349356,37917923,39348962,30749070,30749069,39348959,49275407,60676379,73424247,74317592,87920789,87920790,101894765,100884394,100884393,112881198,98893337,98893338,258203196,59640740,48254076,48254077,51169884,41015895,41015894,257203414,32225482,24629831,18175917,18175921,24629840,30041751,30041749,38615630,255887508,29428625,37990611,37990711,29428718,22097485,15988749,11099442,7360866,4649613,2800703,2800704,4649616,7360873,11099456,15988772,22097521,29428765,29428748,22097506,22097505,22097454,15988727,15988726,22097453 Dl.O(d2) = 9713654,9713655,14118680,18147313,24593363,31081776,29608155,22257698,16118301,11196373,7429080,4694412,2828497,1641109,1641110,2828498,4694415,4694431,7429101,11196390,16118307,11197755,254352714,4695176,7430139,11196387,11196386,11196375,11196376,254236620,7429031,4694411,4694410,7429075,255082917,16119688,16119689,22259203,29609501,27125976,20221390,20221389,27125974,256125918,27126001,20221401,20221402,27126005,35219327,44600104,48088523,52091488,52091486,52091484,59470117,55449395,51346039,51346038,48088494,48088490,59478178,48088582,256645000,22259534,16119981,11197813,11197814,16119945,19029668,13583098,13583097,255677683,22259476,22259475,29609758,34013186,43070992,53549923,64150066,64150067,72215461,72215460,65574824,53549920,48088294,38176439,38176440,48088296,59478070,64718884,58168330,58168329,48088364,38176490,38176489,46800513,46800512,52805003,52805004,58167629,46800207,36922128,36922129,46799279,57872068,46516172,46516169,256555538,33415014,257215657,64718810,74559519,77907034,77907035,72800577,258422978,58168307,46800857,46800856,58168306,257215648,64210494,52360422,42021573,33077683,25347388,18766182,18766183,25347392,33077690,257189921,64210511,63818182,52002823,41691151,41691150,52002820,255832052,28618477,28618478,37130178,47017631,38743408,30160531,30160532,38743414,48665218,48664958,38743252,38743253,48664962,60061808,60061946,48665089,48665090,60061950,52360431,48665104,38743335,30160489,22772065,16557704,11541171,11541172,16557708,22772068,22772083,30160518,38743388,48665179,60062018,71105597,84668878,86396613,86396591,72800549,70880669,58166604,46799265,46799264,58166599,255085942,40532803,38056552,38056551,40532578,31834790,24316101,17929986,17929921,12704187,8631313,8631314,254529032,17929930,22171232,16047464,11142680,7390901,7390900,11142679,16047462,268085490,11142798,255085872,254529028,11142698,7390912,7390911,11142695,16047478,16047516,11142719,11142720,16047521,22171307,29512460,38076933,46333654,36477975,29512463,22171266,22171265,22171329,16047549,11142735,7390940,4669419,4669418,7390939,11142749,16047580,16047543,16047544,22171251,19051081,19051080,25671922,29512523,38076780,29512307,22171116,22171117,22171118,255890403,25694123,33466732,29512294,22171103,22171085,22171086,29512279,29512363,22171179,16047421,11142649,11142648,13613908,9321962,9321961,9312561,254932419,13613742,9321824,6106260,6106259,6106266,9321836,9321838,9321839,13613765,19069272,255679055,13600043,9312563,6100292,3816902,3816903,6100294,6106254,3820656,3820655,6092692,9291072,9291073,6106355,3820714,254206965,758218,758217,1328081,2289054,3820710,6106348,9321855,6106278,6106276,9321853,13613778,9361737,6132092,3836413,3810961,3810959,6090879,254931315,13616627,9323782,9323786,13580057,16266107,255809242,16468669,11474540,11474541,11309230,11309229,16266119,22433854,29800223,31367695,40048127,35337568,27213315,20284810,20284809,25660396,21597419,15569819,15569820,19084003,18581709,13204914,9001726,9001727,13204915,255645183,32840598,29059001,255425417,10873527,10873528,15707355,21763572,28374608,25789183,25789182,33584876,31755532,24243887,17867808,12653168,9360844,6131451,3836022,3836020,6131448,9360837,13669586,12651928,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,9360891,6131482,6131478,9360899,13669697,15707245,10873473,10873470,15707234,15707256,15707255,12655905,8592491,5583019,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,10873364,15707061,10873652,10873653,15707531,21763259,24249581,23411547,23411546,25694266,25694265,25757689,31756684,31756685,25757693,19119134,19119135,25757696,25757677,255279145,9347352,6122451,6122452,9347354,13650567,19119132,25757690,33546464,31759657,31759656,33546470,33867134,40451597,40451596,50487877,61980007,53002763,42562824,257224569,33546450,25757680,25757681,33546453,42562845,39409652,39409651,49327130,39398925,30795936,30795935,39398837,39398838,49327052,44572023,39398914,39398913,49327048,59524572,48137424,42513126,42513125,38227197,29660895,22308553,16161806,16161807,22308555,29660898,38227201,38227045,29660911,22308568,22308567,29660909,38227211,268943733,38227198,38227228,38227229,38227231,29660928,29660929,29660779,28339804,21127723,21127724,16161821,11228962,11228960,16161816,22308573,29660922,29661188,29661282,22308877,16162043,16162042,22308874,29661258,22308847,16162014,11229150,7451042,7451044,11229153,16162019,22308856,29661237,22308828,22308826,22308689,22308690,22308507,22308508,29660845,29661102,22308721,22308722,29661105,38227175,29660868,23784277,23784276,31269509,39944296,39944346,31269593,31269513,31269514,31269530,23784296,17453884,12304032,12304031,17453882,13354541,13354540,15911048,15911049,22012683,22012775,29344803,23086490,16833239,11771577,7859215,4988150,4988149,4611006,2776269,2776270,4611008,7306857,11032268,15911039,22012674,16627852,11598474,11598473,16627838,16627839,254798349,7720831,255117555,11598389,7720748,254365569,2944739,4886843,7720751,11598393,16627752,22852931,30247387,38830854,48750938,60145287,72881798,86477233,86477343,72881935,72881934,86477239,72881802,60145291,60145290,72881801,84405938,86453614,72858071,60121247,48726317,47277028,37367076,37367077,47277030,41158500,32343784,32343785,37600339,37600340,42152352,33193623,33193624,37600336,47504335,37713666,37713665,47636063,58883633,58883632,58883649,47504337,37600338,29052160,268213897,15703017,21757827,21844546,29153115,37600156,29052004,21757694,21757693,29052002,37600153,29052345,21757975,15703120,10870510,7187258,4528010,4528009,7187256,10870506,15703113,21757969,29052340,26125477,19430936,13902960,9541056,9541055,12085240,17187268,23467196,23037888,16793381,254230092,28087945,28087946,36557273,37037197,29476699,29476698,38039629,47953069,59344302,72078232,60841686,49439933,47953082,38039644,29476708,22139797,22139796,29476706,38039640,47953078,43286845,43286844,38050739,29487232,22149003,16030020,16030021,22149006,22148871,16029972,16029971,11130416,7382932,4664346,4664347,7382934,11130421,11130412,7382930,7382929,11130409,16029968,22148948,268632133,31086979,23602784,17290145,12169211,8201207,8201206,12169209,17290141,23602780,23602776,17290139,17290138,23602774,31086969,39765314,49784876,59354830,59236152,47839005,37917922,29349355,29349356,37917923,39348962,30749070,30749069,39348959,49275407,60676379,73424247,74317592,87920789,87920790,101894765,100884394,100884393,112881198,98893337,98893338,258203196,59640740,48254076,48254077,51169884,41015895,41015894,257203414,32225482,24629831,18175917,18175921,24629840,30041751,30041749,38615630,255887508,29428625,37990611,37990711,29428718,22097485,15988749,11099442,7360866,4649613,2800703,2800704,4649616,7360873,11099456,15988772,22097521,29428765,29428748,22097506,22097505,22097454,15988727,15988726,22097453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9119902, s2 = 1132766, dlinesl.size( ) = 2 s1 = 9119902, s2 = 1132766, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9119902, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7565285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7937869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350981, s2 = 7891563, int(edited[s2]) = 0 s1 = 10350981, s2 = 7891563, d1 = 33, d2 = 34 Dl.O(d1) = 269827726,12576760,17729756,17683312,12505770,8471555,5475951,5475952,8471559,10746228,15538178,17704003,12585314,12585315,17772590,24088231,17730873,17730874,17769068,17769069,24132610,254107362,254190922,2144548,2144549,3596108,5534904,5534905,8536912,12584400,254964832,31658098,40352780,48144358,48144359,48959590,48959589,255941278,256984994 Dl.O(d2) = 256551772,5590359,3468234,3468236,5590365,8602811,12667813,254874928,31774696,40469557,47809889,39799767,256362482,23957412,17610112,12430290,12430289,17610110,23957410,31450172,31759178,26628471,24262581,24262582,26626579,25133576,18580087,18580090,25133587,29753330,25704394,19077840,13620205,13620201,19077821,25704372,32838739,25133513,18580036,13203878,9001146,5876459,5876458,9001140,13203852,18580000,25133471,32838693,32838668,32838667,34612207,34612208,37496525,28953848,28953847,37496524,39406806,33999503,26157627,19458252,18580569,13204173,13204174,18580583,25134303,32839636,41759766,42424703,33432380,32591411,24929752,24929753,29322372,37890329,36824193,36824192,34970001,26890821,26890822,23902508,17558129,13932859,9563592,6275624,6275626,9563600,13932873,19074179,13617431,13617433,13924757,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018280,11018279,15892465,11017348,11017349,13931767,13931768,13925639,13925638,13925667,9558390,6271942,3926971,3926970,6271936,9558376,11018136,7294284,4600148,2767667,1604513,912455,514821,514820,912446,1604497,2767636,4600087,256373753,29077331,255426221,254510757,2725331,2725332,4077237,3423836,3423837,4531929,2724177,2724178,2724997,4533228,7195654,9873601,6500664,4073382,2437347,2437348,2437715,1409512,801856,801857,1409521,2437728,4074121,4074182,2437762,1409536,1409537,2437753,4074164,6501916,254749910,7198830,4535382,2726216,1579594,267751759,506615,897948,897947,1410342,802270,802271,1410346,2439325,4076892,6505933,9899039,7200156,7200157,9894656,268547713 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7987690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7987690, s2 = 7685902, int(edited[s2]) = 0 s1 = 7987690, s2 = 7685902, d1 = 13, d2 = 11 Dl.O(d1) = 269398975,23859249,254850738,40476962,35063044,35063045,40192689,50079374,40057902,31375485,29421502,29421501,24005031,17659700,12488056,12488057,14382191,9887759,9887760,14382196,20066236,15724374,15724378,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,14359858,14359859,20045091,15499958,15499957,17196837,23479776,29422765,23480053,18240596,17231194,12113053,12113050,17231183,23539201,255054300 Dl.O(d2) = 272540741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7987690, s2 = 7685902, dlinesl.size( ) = 14 s1 = 13233247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233247, s2 = 11352160, int(edited[s2]) = 0 s1 = 13233247, s2 = 11352160, d1 = 29, d2 = 25 Dl.O(d1) = 22092645,29423410,37984221,37985910,29423751,22093012,15985403,14946194,10280414,6756621,6756624,10280405,14946144,10280394,9868032,6482301,4061987,2431037,2431038,4061990,4064036,6485671,6485602,6485603,9872485,10911908,10911907,15756169,21823016,267946680,37631201,29080894,21783041,15724124,10887554,10887555,13210653,13210656,18590270,22095042,21783111,15724176,10887600,10887599,255426557 Dl.O(d2) = 261173919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233247, s2 = 11352160, dlinesl.size( ) = 24 s1 = 1464625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1464852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1464947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14533811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14533811, s2 = 1136295, int(edited[s2]) = 0 s1 = 14533811, s2 = 1136295, d1 = 6, d2 = 6 Dl.O(d1) = 257480214,37702414,29141520 Dl.O(d2) = 257480214,37702414,29141520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14533811, s2 = 1136295, dlinesl.size( ) = 2 s1 = 14533811, s2 = 1136295, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14533811, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 1136296, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6594934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6594934, s2 = 1510000, int(edited[s2]) = 0 s1 = 6594934, s2 = 1510000, d1 = 7, d2 = 17 Dl.O(d1) = 256358810,29147508,268625141,47629953 Dl.O(d2) = 58696470,71263710,58531903,47143581,37238352,37238351,47143577,37793891,29231767,29231768,37793897,47714574,50349204,40322728,31633817,24127193,255195067,12570618,17764276,24127205,31633834,40322756,40322683,40322685,50349171,47629968,47629967,50349241,50349240,59769335,59769336,50349194,40322713,40322711,38224361,38224362,38224365,47306191,37483065,28941183,28941184,37483068,47390649,58777805,48386547,38483843,38483842,48386545,59031878,268932464,37707354,37707353,47629620,58696464,47306172,37396733,28855899,28855900,37396736,47306176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13270377, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6513493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8195525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7598955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10135774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135774, s2 = 13476154, int(edited[s2]) = 0 s1 = 10135774, s2 = 13476154, d1 = 1, d2 = 1 Dl.O(d1) = 23760707,17432992,12287358,11521214,7663930,4848951,2921888,1694885,963775,543128,304371,168505,168504,304370,543126,963773,963772,963771,1694884,1694883,1694882,2921885,4848945,254343546,10948844,7248351,7248350,7251390,7251373,7251374,10955474,10955475,10947270,10947269,15799705,21874561,29185908,37746932,47668914,59068750,48888423,48888424,60281938,71809626,85398303,99334858,85391220,71803039,59062390,59062391,71803041,71809628,59068748,59068749,71809630,85398308,85391222,85391221,85398301,85398300,99342676,113345708,257705060,269435080,60595153,73339904,85572082,73339905,60595154,49194485,39268307,30672115,23256140,268379926,39268304,49194482,60595150,67689660,268914616,269775726,100934530,100934531,114988567,113529800,99518720,85572081,71985011,59247806,47851230,47851232,59247809,59247812,258941588,59247804,47851229,37931361,37931360,37931365,47851237,59247803,71985008,85572078,99518719,113529799,127399559,140755073,153435269,155634210,143084811,129754824,115855579,101809265,87835347,74230463,61451233,49973346,39956743,31281889,23795727,17463392,17463393,23795728,31281892,31281887,31281888,39956742,49973345,61451231,74230459,87835344,76304921,63282783,51564503,41342461,32495041,24979581,18458579,13113030,13113031,18356607,18356612,18356611,18458565,13113020,8937062,8937061,5833250,3639896,2175222,2175223,3639898,254636315,8937069,13033130,13033129,8875546,5787219,5787218,8875544,8875548,5787220,254633421,5660081,3520105,254426027,5726670,5726669,8791872,12924087,18221264,24597664,18150699,18150698,24597662,256061011,18048322,12794503,8698597,5661987,5661986,8698596,12794501,18048319,24468224,32030533,37221744,28696266,28696267,268614453,28433874,256162206 Dl.O(d2) = 23760707,17432992,12287358,11521214,7663930,4848951,2921888,1694885,963775,543128,304371,168505,168504,304370,543126,963773,963772,963771,1694884,1694883,1694882,2921885,4848945,254343546,10948844,7248351,7248350,7251390,7251373,7251374,10955474,10955475,10947270,10947269,15799705,21874561,29185908,37746932,47668914,59068750,48888423,48888424,60281938,71809626,85398303,99334858,85391220,71803039,59062390,59062391,71803041,71809628,59068748,59068749,71809630,85398308,85391222,85391221,85398301,85398300,99342676,113345708,257705060,269435080,60595153,73339904,85572082,73339905,60595154,49194485,39268307,30672115,23256140,268379926,39268304,49194482,60595150,67689660,268914616,269775726,100934530,100934531,114988567,113529800,99518720,85572081,71985011,59247806,47851230,47851232,59247809,59247812,258941588,59247804,47851229,37931361,37931360,37931365,47851237,59247803,71985008,85572078,99518719,113529799,127399559,140755073,153435269,155634210,143084811,129754824,115855579,101809265,87835347,74230463,61451233,49973346,39956743,31281889,23795727,17463392,17463393,23795728,31281892,31281887,31281888,39956742,49973345,61451231,74230459,87835344,76304921,63282783,51564503,41342461,32495041,24979581,18458579,13113030,13113031,18356607,18356612,18356611,18458565,13113020,8937062,8937061,5833250,3639896,2175222,2175223,3639898,254636315,8937069,13033130,13033129,8875546,5787219,5787218,8875544,8875548,5787220,254633421,5660081,3520105,254426027,5726670,5726669,8791872,12924087,18221264,24597664,18150699,18150698,24597662,256061011,18048322,12794503,8698597,5661987,5661986,8698596,12794501,18048319,24468224,32030533,37221744,28696266,28696267,268614453,28433874,256162206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135774, s2 = 13476154, dlinesl.size( ) = 2 s1 = 10135774, s2 = 13476154, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10135774, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7839318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7839318, s2 = 11206358, int(edited[s2]) = 0 s1 = 7839318, s2 = 11206358, d1 = 10, d2 = 7 Dl.O(d1) = 58267370,46901438,37023674,28525739,21303880,15334880,10591242,6986727,4390237,4390236,6986725,10591236,15173224,21120807,21127488,21127490,28335593,28335594,30368659,36736704,28241687,21127482,15178928,15178914,15178898,10469208,10469207,10421512,10421511,15109170,12212024,10471082,6903891,6903890,10471077,10421661,254156700,21035673,21035616,15109303,15109304,10593833,6988622,6988623,10593836,10483919,10483920,14576322,10030140,10030141,14576326,20311269,21308172,15338359,15338360,21124833,15178766,10469056,10469057,15178769,10470032,10470033,15176280,254119080,10471215,10469066,6901584,4333471,2593520,2593521,254157428,4334995,4334997,267822750,4332205,2592540,1495262,847283,847284,478515,269331,149305,149306,269333,478519,847301,267750866,2594684,1496639,848061,478884,269509,149389,149386,269496,478859,848009,1496539,1495613,1495612,1497543,2590506,2592500,2598974,2598971,4334814,2594595,1499576,1497553,1496746,1495666,847505,847504,848171,848170,1496814,1496769,848145,848106,848105,847635,478670,269524,149397,82146,82147,149402,269532,478916,848115,1496715,2593940,2593939,1496692,1496690,2594755,2594156,2594157,1496423,847951,478840,478839,847947,1496417,2594368,4334557,2595116,1496923,1496926,1497356,2595797,4335726,2595776,1497615,848619,479152,479149,847420,1495480,2592873,2596169,2595826,2592848,2592847,4332608,4334299,4332597,2592840,2592839,4332591,6900662,10462421,10462422,10468803,10468778,6904784,6904783,10410747,6862560,4306914,4306915,254489134,15094755,21016705,15164921,10458343,6893694,6893696,10457798,15164185,21110149,15167245,10460226,6894937,4328103,2589236,2589235,4328100,6894933,10460218,15167256,21113353,17952676,12721909,8644465,5622272,3492961,3492960,5622270,8644462,12721904,10461585,6895886,6895887,6895912,10461624,268201957,256297807,36819665,28324470,21114865,21114866,20070186,14386536,14386535,20048216,26934480,35015896,29964472,22599770,16416467,16416469,22599775,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809492,32444131,32444203,32870919,25163432,18605573,13223521,13223520,18605565,25163420,32870898,28636836,21396797,21396794,28636828,33381060,25615290,24809612,24809613,32444269,25417129,25417130,24093592,17735633,17735635,17735663,17735664,24093608,24093581,24093580,22651249,16459873,11468728,11468726,16459865,13459284,9204168,6025928,6025929,9204173,13459290,18886795,25490693,33240269,31714090,24206448,24206451,31714091,40406196,42201247,35347111,35347109,44772372,48733160,38812977,30230193,22838059,16616369,11847134,7918141,7918142,11847136,255522427,26898343,26898345,24299039,17916316,12693646,12693645,17916311,23938081,255127882,17916453,24299223,31814717,39211818,49138369,40353020,31658348,256609847,32651962,41540603,48233810,48233809,255962292,30508150,30508151,29693844,29693843,38259534,29754276,29754274,38259993,29694233,22340894,22340893,29694227,38259986,38662167,48578156,48169459,48169460,59556081,59556368,48169847,48169373,38259856,29694144,22340834,16192474,16192476,22340841,22340919,29187124,29187123,37748234,42192246,256191365,255720941,14123470,9716703,9716704,14123476,19697872,25482821,25482820,25482831,25482833,23821712,17485494,17485495,23821716,19697900,18880563,18880564,13454759,13454760,18880632,25483096,32853728,29715800,22359895,22359896,22358867,22306822,16160413,13454800,9201214,9201213,13454796,16207295,22359934,29715845,26437145,26437146,26437188,19698216,14123686,9716812,6392296,4011544,4011541,6392291,9716801,14123665,254404772,28224251,28224252,30041016,38614905,39025655,39025656,30436074,30436073,29513168,22171878,22171877,29513163,30032721,22658098,16464600,16464601,22658103,23339700,17073442,17073440,23339695,30762703,30032750,22658119,22658120,30032755,31380605,28764357,28764356,30032676,22658182,16464658,11471787,7630471,7630472,11471789,16464666,22658191,23225135,16951841,16951840,23225131,28222177,22657962,22657963,17537040,12368978,12368979,13592084,19040884,23883626,30032570,22657932,16464463,11471671,7630409,4827587,4827588,7630411,11471676,11471767,11471766,16464620,12596362,254611797,3431434,3431435,5545722,8547338,11471744,11471743,16464575,16464588,11471752,8547302,8547304,12596301,17795610,17795814,17795815,24163578,23225872,23225873,30032692,23883736,17537258,17537257,23225165,16951869,16464550,12368936,8357889,5394610,5394611,254816446,17536988,23883477,23883733,22658024,22658025,30032657,31380685,23883692,17537189,12369097,8357993,8357992,12369095,16025720,22144046,23225140,30647155,31673181,39137863,43343135,38606443,30032646,30032647,30867808,23439398,23225348,16952076,11864560,11126954,11126953,254816386,23225472,30647397,39243223,37297709,37297710,47204757,58595330,50901881,50901880,47711892,37791049,37791051,37298026,33014427,28763530,28760880,28760879,30702638,30702637,30886406,33289067,29764414,22401874,16240023,16240021,18918770,18918769,25528554,33289076,28421885,21199141,15496026,10716474,10716472,15496022,21503716,16427022,11442343,11442338,16427013,22611183,22611300,22611299,28764867,21504998,21504997,28502422,29978033,22611302,22611301,29978032,29314636,24466608,18046841,18046842,15496514,15496513,15496697,15496696,12793193,12793194,18046797,21504164,21504165,28764027,28764018,21504158,255039327,7080320,4457759,4457758,2677976,1551206,881891,881896,1551219,2678004,4457815,7080394,10716879,7080711,4457987,2678102,1551271,1551272,2678107,4457994,4457979,2678094,1551268,1551269,2678095,4457981,7080700,10717320,15497074,21504949,22467631,22467632,29834342,37297932,39433498,30829552,30829553,30657536,29533623,22190603,268083569,7397892,7397894,11153402,10896530,10896531,254337044,7399244,7397244,4673139,2815397,1633358,928866,523563,254165465,1633147,2815008,4672478,2815528,2815184,2815183,4672789,7396707,11151829,11152953,11152952,16062231,16479253,22195008,16066440,16062862,16062221,15990997,11100976,7361828,4650174,2801041,2801040,4650167,7361822,4696705,2829821,1641868,1641834,1641835,2829763,4696614,4673384,2815544,1633443,1633444,2815548,4673393,7397223,7399571,4674511,4674512,7395949,7395939,4672281,4672279,7395937,255078003,10756713,7106705,4474250,2688024,2688022,4474249,7106702,254771337,16126494,18897446,13465850,13465849,16125558,16125557,22266759,254739308,7432733,7432732,11201660,11467263,11467264,16457997,16125144,11201312,11201314,254739310,4672465,2829739,1641821,1641820,1641799,1641800,1641769,933562,526146,526147,933567,1641780,2829669,4696461,4697522,7395625,7395626,7432127,4696373,4696375,7432137,11201011,11155930,11155931,11201201,7432568,7432567,11201583,11201737,7432715,4696741,4696742,7432704,7432703,7432556,7432557,7432498,7432497,11201476,11203126,16060633,16126265,11202275,7433075,4696971,4696900,2829926,2829924,4696891,4696573,2830063,1642004,933677,526190,294839,163056,89613,89614,163061,294852,526222,933741,1642106,2830280,4697531,7433854,11203336,11202367,11202372,7433515,4697314,4697316,4697349,2830180,1642057,1642055,2830173,4697331,7433548,11202913,16127048,22266432,16125177,16125175,16126875,22266623,16125366,16125367,22266627,16125397,11201528,11201527,16125392,11201915,7432822,4696804,2829883,1641902,1641904,2829891,4696830,4697019,7432803,7432802,11201438,11150172,7395508,4672039,4672042,7395520,11150200,16058547,22185579,22154296,16126905,16126906,22267952,23330894,22267963,22267964,22267396,16127087,16127086,16126988,11202901,11202900,255460579,29619027,255968864,255137538,8903910,5810205,5810206,254900205,18396316,24898981,23200079,16930871,11849644,7919892,5035250,3048755,3048751,5035236,7919864,11849594,16930800,23199989,255076598,49145599,49145643,46790816,36913230,36913231,46790819,39734776,256938416,256877452,255844134,25110836,268735549,39219031,30621758,23199929,16930758,16930759,23199931,30621759,39219033,39219082,39219083,36825230,36825229,46707259,58078926,48108309,48108308,58158206,48059061,48059062,48059066,48059067,49152307,39734772,39734771,47648200,37726211,256396296,28415561,36913237,30621704,23199882,16930717,11849548,7919835,5035222,5035221,7919830,11849545,16930712,23199873,29631550,29631551,29913600,29493260,29493262,28329738,28329737,36825315,36825087,28329529,28329530,36825090,28329650,21118988,21118986,28329658,29913592,38471774,38100754,38100753,38198065,38198067,46707150,36825083,28329552,21118890,18858951,18858945,13436723,13436721,18858936,25458415,29535534,29535530,29535529,38099425,31163290,23674799,23674800,31163293,38099716,29535880,29535878,38099709,30621685,30621686,29536300,22556235,16378560,11398852,11398849,16033928,16033929,22154244,22192482,22192484,29535721,29535894,29535893,36825258,28329669,28329668,36825250,33205848,29535264,29535263,29535479,29535478,28329593,21118928,15171867,10463653,6897279,6897278,10463648,15171854,16064082,18858927,25458404,29535541,22192291,16064085,16064086,22192295,21946569,21946568,22193723,16065300,16065299,22193720,16466071,16466068,22660026,22194298,22194297,29537388,29535701,22192458,16064206,11154371,11154373,16064213,16064234,16064235,22192394,22192396,22660257,29535712,29535715,29268862,21946538,21946537,22192027,16063884,11154174,11154172,16063882,16064374,22192641,21118882,21118881,22194156,29535253,22266485,22192632,22192635,17487199,12329787,8329208,5375685,5375684,8329204,12329776,11155087,7398956,4674164,4674163,7398951,11155079,16065336,22193771,22193800,22192904,16064591,11199433,11199434,16064191,11154366,11154367,11154393,7398555,7398557,11154399,11472933,11155374,11155373,16065710,15857327,10990899,7275729,7275727,4674029,4674030,7398692,7398742,4674054,4674055,7398747,11154711,11155391,16065729,12329798,12329797,17487211,23824083,22194064,17487189,17487167,12329760,8329195,8329192,12329752,16065361,16063968,16063966,22192116,22193203,16064885,16064883,16466392,16466305,11472928,11472927,16065755,11155410,255078487,16466475,11473060,7631251,7631250,11473055,11473013,7631226,4828052,4828051,254789355,7631148,7631149,11472916,16466287,22192153,21128641,15180215,10470753,10470754,7399108,7399106,255078485,22192329,21128726,15180287,10470792,10470793,15180289,21128728,16466470,16466469,22660329,16466342,255486643,16065865,16065868,11780338,11780337,16845097,16845138,22193144,16064826,16064123,11154333,7398524,4673945,4673944,7398520,7398835,7398836,7398900,11154961,16064958,16065789,19778596,14166935,9739564,6404498,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22191872,22191873,16064692,16064691,16064699,16064700,22192138,16845219,11780401,11780399,16845211,16845107,11780339,11780340,16845110,22191772,16063712,16063711,22191768,21068968,21068967,28271816,36766730,36837791,38100169,29536525,29536526,29536451,22193254,16064940,11154823,11154822,16064935,255891954,21128793,16064103,16064102,22192315,22194210,16065787,16065786,22194206,29535110,29535234,256388145,28326078,28326077,36821342,46703930,46703935,58076039,47958073,47958074,38337964,30048045,22672667,22672668,30048047,30518076,30518075,38619439,30045537,22670157,16474387,11478491,11478492,16474389,22670160 Dl.O(d2) = 36634420,46501554,57857772,70559335,84095534,97968976,105473153,91251018,91251019,105473155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7839318, s2 = 11206358, dlinesl.size( ) = 2 s1 = 7839318, s2 = 11206358, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7839318, Dl.E( ) = 12, 1.41e-05 seconds used appending s1 = 8255200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8255200, s2 = 14877256, int(edited[s2]) = 0 s1 = 8255200, s2 = 14877256, d1 = 8, d2 = 13 Dl.O(d1) = 262319588,21879026,21879025,29190750 Dl.O(d2) = 29190753,21879027,15803627,10950642,7247077,7247079,7245207,7245208,10940979,7245276,7245277,10948249,7245210,7245209,10948246,15800865,21876094,29187773,260562635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255200, s2 = 14877256, dlinesl.size( ) = 2 s1 = 8255200, s2 = 14877256, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8255200, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 14164892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164892, s2 = 8235863, int(edited[s2]) = 0 s1 = 14164892, s2 = 8235863, d1 = 2, d2 = 1 Dl.O(d1) = 258528490,72842996,60106467,48710954,38788706,30203954,255496979,254546099,254244145,4875540,7703642,11573518,10766182,254739924,15565540,10766245,10766244,15565537,15565589,255413798,14371052,10888990,10888992,11591139,11591140,16617412,12216447,12216443,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942261,1706326,1706324,2942350,4883002,4069188,2434925,1747449,1747453,3008065,2724343,2724341,4532216,4531670,2724025,2724028,4531678,254686157,254469049,4063960,6485545,9872377,10894703,7205337,4539544,267788327,1580809,2728539,4063485,2431843,1406613,800444,800445,1406616,2431848,4063412,4063410,6484586,6468673,6468674,9848803,9899389,9868993,9868815,6482830,4062330,2431212,2431214,4062339,6482851,9868840,7205872,7205870,6494630,6494631,9884681,14378688,15625353,255418195,20052930,14367110,9873792,6486378,4064424,2432311,2432310,2435736,1408590,801413,454128,454111,454105,454106,801362,1408485,267871051,29195864,21883664,21883663,29195865,29195864 Dl.O(d2) = 10953847,9240328,9240327,11832315,7907521,7907520,11832311,15796323,10945140,10944068,7241921,7241920,5982545,3740925,2239563,1298710,741176,741174,1298703,2239549,2239195,2239196,3740235,5981386,9140365,5982836,3741099,3741100,5982838,9140146,5981234,3740154,3740155,5981238,9140152,13373199,17625600,12445646,12217640,12217638,9139439,9139438,13372286,18776724,17649216,12477388,12477389,17649217,18777828,23994478,18778109,17645651,12472259,8441680,8441679,12470498,17644547,23989635,30887100,23970313,17620932,17620934,23968737,17618971,12437015,254598023,3334315,1960992,1120221,1120220,1960987,3334307,5423961,5455902,5455903,8447486,12449284,8451823,5459656,5459655,8422133,12453811,17631997,23968734,17644951,12475363,12471120,8440284,5449818,3350213,1969667,1969664,1969634,1124675,630767,630769,1124684,1969650,3350175,5449764,8423511,12455190,17633038,17651570,17649404,17645633,12472228,12459023,12459022,268212125,12448166,8416436,5431653,5431652,8411756,5428337,5428340,5440296,3344338,3344337,5440293,8427849,8419264,8419265,255183551,12446152,12453418,255574359,17635023,17648382,17624126,12443591,12443590,8422563,8422562,8427445,8427444,12458903,12437743,8406341,8406340,12437738,12439362,12466644,12466645,12453330,8421638,8417772,8417773,8452546,12460455,267911803,3345025,1966908,1123336,1123335,1966906,3345024,5441344,8412045,5428559,3337131,1962552,1121025,1121026,1962554,3337103,1972034,1972033,3354515,3344284,1966509,1966510,3344289,3336876,1962425,1962424,3336875,3342083,3338160,3338159,1969836,1124783,1124784,1969843,3350544,5439173,3343619,3343620,5430035,8414115,8414117,8407504,5426602,3335911,1961894,1120710,1120709,1961891,1963764,1121644,254186789,3339409,5432399,8407830,5425480,5425481,254856447,12457939,255067635,11023220,7428459,4693992,2828254,1640951,1640953,2828243,1966256,1123004,629963,629964,1123008,1966267,1970779,1970778,3352310,5453062,8438282,5448437,5448436,8427269,5442506,5442507,8316920,5366694,3299287,3299285,5366692,8316916,5450717,267912115,8428281,255184865,8425361,12457059,12449707,8418067,8418066,12442104,8410498,5427384,3336430,3336431,5427389,8410504,8435479,5446288,5443849,5443850,8432442,12463717,254752391,1590378,904120,509911,285847,157981,157979,285843,509904,904104,1590352,905370,905369,254343815,7245728,10948823,255433037,29188810,37181150,37181149,46801506,36923292,28424803,28424802,28735281,37267378,47173441,58562421,71294479,259313531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164892, s2 = 8235863, dlinesl.size( ) = 2 s1 = 14164892, s2 = 8235863, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164892, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10160481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10160481, s2 = 8095056, int(edited[s2]) = 0 s1 = 10160481, s2 = 8095056, d1 = 5, d2 = 26 Dl.O(d1) = 29465098 Dl.O(d2) = 51874980,41582421,256097751,18478939,18478938,25005623,32684974,32687008,25007316,25007318,32094061,32094060,32122179,24544046,24544047,32122180,32685827,25029219,18497200,18497201,25029221,24519319,18088079,18088080,24519321,24519310,24519311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10160481, s2 = 8095056, dlinesl.size( ) = 14 s1 = 1469995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6646156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6646156, s2 = 14572725, int(edited[s2]) = 0 s1 = 6646156, s2 = 14572725, d1 = 31, d2 = 10 Dl.O(d1) = 256909310,29241319,21922186,15836933,10974566,7263936,4580926,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580246,7262634,7373569,4658200,2806358,1628048,1628049,2806365,4658213,7373588,11117277,11117428,7373671,4658250,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598,29235365,29235342,21917803,15834095,14461792,14461791,15835302,21919628,29237794,37800921,47721819,59119401,64379841,52506206,42148208,42148207,258113154,21921365,21921367,29240291,37804266,31494921,23997557,23997556,31494919,33190009,25444597,18847601,13428570,13428571,18847607,15837425,10974860,7264112,7264113,10974866,15837436,21922921,23083077,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043 Dl.O(d2) = 257583525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6646156, s2 = 14572725, dlinesl.size( ) = 2 s1 = 6646156, s2 = 14572725, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6646156, Dl.E( ) = 32, 2.1e-05 seconds used appending s1 = 14162306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1577480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1577480, s2 = 14764297, int(edited[s2]) = 0 s1 = 1577480, s2 = 14764297, d1 = 26, d2 = 42 Dl.O(d1) = 39936127,39936130,46420285,37814437,29249468,21928929,21928930,21928989,21928987,29249535 Dl.O(d2) = 264957296,211682172,211682173,215731498,219080277,265169318,274266050,264723078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1142375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1142375, s2 = 6614983, int(edited[s2]) = 0 s1 = 1142375, s2 = 6614983, d1 = 0, d2 = 21 Dl.O(d1) = 29249645 Dl.O(d2) = 256559116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1142375, s2 = 6614983, dlinesl.size( ) = 8 s1 = 1472817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14237823, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1142923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1142923, s2 = 15866232, int(edited[s2]) = 0 s1 = 1142923, s2 = 15866232, d1 = 17, d2 = 75 Dl.O(d1) = 29258375 Dl.O(d2) = 254356684,28949118,28949120,23249220,23249221,268227374,17184216,17184214,23463378,30896613,37491706,28949086,21669380,21669379,28949085,37491705,28949437,23463219,23463218,30896452,33455648,25683850,25683851,28950113,28950114,32410725,25683904,25683903,23463232,17184103,12082750,12082751,17184105,23463234,19060500,13607099,9317471,6103550,3818961,3818960,6103547,9317465,13607084,9602511,9602512,13980539,15633104,15633103,15632934,15632933,21669464,15633572,10818650,7149899,7149649,7149648,10818222,15632898,21669087,15632661,10818073,7149568,4502381,4502380,7149564,10818060,15632627,15931898,21668759,17184130,17184132,15633497,15633495,21670187,28856381,37397198,28948443,21668832,21668831,28948441,28948446,37491090,37491431,28948791,21669106,21669105,28948787,256344825,21669581,15633012,10818297,7149695,7149696,10818298,15633014,21669582,21669123,15632689,10818090,10818089 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9151418, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2052043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13573085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13573085, s2 = 14282502, int(edited[s2]) = 0 s1 = 13573085, s2 = 14282502, d1 = 1, d2 = 1 Dl.O(d1) = 146847915,159221613,170560108,174988559,174988558,184590311,190099516,181282680,171244838,160008139,147744542,134614308,134614309,256184982,122032500,122032499,256184984,136166600,146043437,257859692,104792587,104792586,118984049,259089120,90621008,76754748,66901524,63662210,257249406,51024841,40887516,256066309,18103674,12836544,12836545,18103676,24536875,32113970,34628615,34628616,34628618,26638851,19826975,14203049,9763739,6419575,6419574,9763738,11221413,7445562,4704276,4704275,7445559,11221410,11220291,7444831,7444832,11220295,7445013,7445014,7443706,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,16148504,11219944,7444601,4703771,4703767,7444594,255084943,22294851,22294965,22297028,22297027,29648960,38214068,38211616,29645031,22293107,16148462,16148461,22293105,22297379,22292642,16148068,16148069,17183101,12082079,12082080,17183105,23461941,30894936,31762396,38211623,29648691,255914328,16150771,16150770,16150889,11221714,7445740,7445739,11221712,16152266,268215738,17873171,12656912,12656913,17873174,24250516,21745869,21745868,29038063,255428974,13421763,9176675,9176674,13421761,13421757,9176671,6006193,6006195,3756280,2249723,254299129,3756284,3756285,3756283,2249728,1305201,1305200,2249725,1398689,1398688,2249731,2525257,2525256,3360947,3360948,2258818,2249609,1305098,744756,744755,254146981,745576,1306267,2250135,2250134,2413027,1396736,794734,794735,1396738,1109549,1109548,622743,346100,346097,622740,254204423,746016,746017,454947,256375,141962,77786,77785,140645,76983,41901,23129,12870,7097,3782,3767,3768,7075,12827,23058,41758,76748,76976,76977,140638,267743237,796051,794840,794841,451254,254116177,796196,796197,796198,451288,254270,254271,451290,796200,1398835,2416365,2416366,2416367,4032033,6426703,9774271,14217462,19844923,26659069,26659067,26659064,19844919,19844920,26659066,256725585,33855293,26033821,19355990,13843747,13843748,14217055,14217054,19355988,19355987,19356002,19356001,26033827,255292861,6228303,6228304,254940727,6162604,6144878,6144879,9380042,13696360,9496229,6228310,6228309,9496227,13843760,19356010,26033852,33855312,39509197,39509198,49440336,58888087,58888089,71608094,58888126,47508613,37604434,29055983,21761252,15705800,10872585,10872584,255425285,29055975,37604421,257475273,71608102,85172996,91453791,91453790,98781400,98781401,105676720,91453788,84855099,268648672,47161539,47161540,58550135,71281603,59218155,47819882,47819881,54665814,66922395,80348621,94402965,259418610,85103512,85103511,80348622,80348623,94402968,273452032,108690172,94402966,258506759,257289353,269174169,66922398,54665816,43923232,34649931,34649930,43923230,54665817,258506761,70827102,70827101,81091256,76008792,63025695,258343381,76008785,63025691,51345084,51345083,63025689,76008779,89786095,99777047,85823271,85823272,72230267,72230266,85823306,72230313,59494204,59494203,72230304,72230305,85823327,85823326,76852575,76852576,90725043,95651849,81618978,81618979,81618986,68129437,55731679,44824150,35398573,27272175,20336436,14595067,10042759,6599731,4134623,4134622,6599730,10042757,255047691,7148159,4501435,2705066,2705068,4501439,7148163,10816079,15629854,19447838,255418625,10816169,10816168,8561240,7148137,7148138,10816045,13150815,10816178,7148225,7148224,10816176,15629976,21665468,21665469,28944340,24183267,24183268,20060031,20060032,26945346,28944442,21665571,15629904,15629903,21665568,25098042,18550320,13180377,8984289,5865333,5865332,8984286,13180370,10042755,10042754,14595058,15629899,10816119,7148183,4501452,2705076,1567568,1567569,2705079,4501460,7148197,10816140,15629924,21665561,255647752,255642714,10930520,7231368,7231367,10930517,15779187,21849992,21665530,21665531,28944363,28944362,28628421,21390137,255831241,37141758,47030197,58402106,71119720,84684085,80313150,80313149,94369425,108657187,260971157,108657204,108657203,108657205,108657195,108657196,100373386,94369459,80313176,80313175,94369457,259005452,108657178,108657177,105984856,91790145,91790146,77867523,257804471,52762483,64677468,77867525,91790152,77867516,77867517,91790154,105984865,94369452,91790148,91790147,105984858,120185291,127298447,127298446,127298436,113439957,99438198,99438197,260570749,99438199,85496844,71911933,59174160,47775403,37852275,29284195,21958649,21958650,29284198,37852282,47775412,47102035,37205503,37205504,37205465,37205466,37205482,28681897,21432548,21432549,28681898,37205483,47102013,58480423,258681383,84771877,98700594,112696619,261107169,139924615,126560757,112696617,271340428,270845420,98954216,85029170,85029171,89576146,103691278,90681701,76813241,76813240,90681699,90681724,76813266,76813265,90681713,76813253,63712252,51905656,41605865,32702714,25018916,18488823,18488824,25018920,32702718,41605871,51905667,63712266,76813269,87149355,73530726,73530727,270071700,41605863,51905651,63712245,70889647,58175419,46808024,36929688,28431017,21207117,15240819,10513784,10513785,15240821,21207118,28431018,36929690,31799708,256048671,17904889,12684318,8615714,254877679,12684319,8615735,5600497,5600496,3476437,2062682,2062681,3476435,5600498,8615736,12684343,9112624,5962308,254297463,2232239 Dl.O(d2) = 146847915,159221613,170560108,174988559,174988558,184590311,190099516,181282680,171244838,160008139,147744542,134614308,134614309,256184982,122032500,122032499,256184984,136166600,146043437,257859692,104792587,104792586,118984049,259089120,90621008,76754748,66901524,63662210,257249406,51024841,40887516,256066309,18103674,12836544,12836545,18103676,24536875,32113970,34628615,34628616,34628618,26638851,19826975,14203049,9763739,6419575,6419574,9763738,11221413,7445562,4704276,4704275,7445559,11221410,11220291,7444831,7444832,11220295,7445013,7445014,7443706,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,16148504,11219944,7444601,4703771,4703767,7444594,255084943,22294851,22294965,22297028,22297027,29648960,38214068,38211616,29645031,22293107,16148462,16148461,22293105,22297379,22292642,16148068,16148069,17183101,12082079,12082080,17183105,23461941,30894936,31762396,38211623,29648691,255914328,16150771,16150770,16150889,11221714,7445740,7445739,11221712,16152266,268215738,17873171,12656912,12656913,17873174,24250516,21745869,21745868,29038063,255428974,13421763,9176675,9176674,13421761,13421757,9176671,6006193,6006195,3756280,2249723,254299129,3756284,3756285,3756283,2249728,1305201,1305200,2249725,1398689,1398688,2249731,2525257,2525256,3360947,3360948,2258818,2249609,1305098,744756,744755,254146981,745576,1306267,2250135,2250134,2413027,1396736,794734,794735,1396738,1109549,1109548,622743,346100,346097,622740,254204423,746016,746017,454947,256375,141962,77786,77785,140645,76983,41901,23129,12870,7097,3782,3767,3768,7075,12827,23058,41758,76748,76976,76977,140638,267743237,796051,794840,794841,451254,254116177,796196,796197,796198,451288,254270,254271,451290,796200,1398835,2416365,2416366,2416367,4032033,6426703,9774271,14217462,19844923,26659069,26659067,26659064,19844919,19844920,26659066,256725585,33855293,26033821,19355990,13843747,13843748,14217055,14217054,19355988,19355987,19356002,19356001,26033827,255292861,6228303,6228304,254940727,6162604,6144878,6144879,9380042,13696360,9496229,6228310,6228309,9496227,13843760,19356010,26033852,33855312,39509197,39509198,49440336,58888087,58888089,71608094,58888126,47508613,37604434,29055983,21761252,15705800,10872585,10872584,255425285,29055975,37604421,257475273,71608102,85172996,91453791,91453790,98781400,98781401,105676720,91453788,84855099,268648672,47161539,47161540,58550135,71281603,59218155,47819882,47819881,54665814,66922395,80348621,94402965,259418610,85103512,85103511,80348622,80348623,94402968,273452032,108690172,94402966,258506759,257289353,269174169,66922398,54665816,43923232,34649931,34649930,43923230,54665817,258506761,70827102,70827101,81091256,76008792,63025695,258343381,76008785,63025691,51345084,51345083,63025689,76008779,89786095,99777047,85823271,85823272,72230267,72230266,85823306,72230313,59494204,59494203,72230304,72230305,85823327,85823326,76852575,76852576,90725043,95651849,81618978,81618979,81618986,68129437,55731679,44824150,35398573,27272175,20336436,14595067,10042759,6599731,4134623,4134622,6599730,10042757,255047691,7148159,4501435,2705066,2705068,4501439,7148163,10816079,15629854,19447838,255418625,10816169,10816168,8561240,7148137,7148138,10816045,13150815,10816178,7148225,7148224,10816176,15629976,21665468,21665469,28944340,24183267,24183268,20060031,20060032,26945346,28944442,21665571,15629904,15629903,21665568,25098042,18550320,13180377,8984289,5865333,5865332,8984286,13180370,10042755,10042754,14595058,15629899,10816119,7148183,4501452,2705076,1567568,1567569,2705079,4501460,7148197,10816140,15629924,21665561,255647752,255642714,10930520,7231368,7231367,10930517,15779187,21849992,21665530,21665531,28944363,28944362,28628421,21390137,255831241,37141758,47030197,58402106,71119720,84684085,80313150,80313149,94369425,108657187,260971157,108657204,108657203,108657205,108657195,108657196,100373386,94369459,80313176,80313175,94369457,259005452,108657178,108657177,105984856,91790145,91790146,77867523,257804471,52762483,64677468,77867525,91790152,77867516,77867517,91790154,105984865,94369452,91790148,91790147,105984858,120185291,127298447,127298446,127298436,113439957,99438198,99438197,260570749,99438199,85496844,71911933,59174160,47775403,37852275,29284195,21958649,21958650,29284198,37852282,47775412,47102035,37205503,37205504,37205465,37205466,37205482,28681897,21432548,21432549,28681898,37205483,47102013,58480423,258681383,84771877,98700594,112696619,261107169,139924615,126560757,112696617,271340428,270845420,98954216,85029170,85029171,89576146,103691278,90681701,76813241,76813240,90681699,90681724,76813266,76813265,90681713,76813253,63712252,51905656,41605865,32702714,25018916,18488823,18488824,25018920,32702718,41605871,51905667,63712266,76813269,87149355,73530726,73530727,270071700,41605863,51905651,63712245,70889647,58175419,46808024,36929688,28431017,21207117,15240819,10513784,10513785,15240821,21207118,28431018,36929690,31799708,256048671,17904889,12684318,8615714,254877679,12684319,8615735,5600497,5600496,3476437,2062682,2062681,3476435,5600498,8615736,12684343,9112624,5962308,254297463,2232239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13573085, s2 = 14282502, dlinesl.size( ) = 2 s1 = 13573085, s2 = 14282502, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13573085, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 6874293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162674, s2 = 8254049, int(edited[s2]) = 0 s1 = 14162674, s2 = 8254049, d1 = 14, d2 = 2 Dl.O(d1) = 255920449,22577777,16394923,11411167,11411166,7738617,7738619,7739586,4900434,2953427,2953426,4900429,254553700,7583817,7583819,4904082,4796811,2955648,2955650,4903759,7583440,4796627,2891326,2891325,4796622,7583431,7610554,11444330,16429100,22613526,29980475,38549461,39714052,31036786,23555016,17246251,12128414,12128413,17246250,23555015,31036784,39714050,33667206,33667207,32092187,28537541,21608057,21608056,21337685,21337686,28564548,37066234,46945333,51942410,41638407,41638406,51942408,53845214,53845215,65912602,63444697,63444698,70483364,57783108,46428041,46428042,46428045,36563728,28093439,20919020,15012639,15012638,20919018,28093434,36563715,39022593,30432896,23026698,16784719,255511889,30432892,39022585,48945665,269802233,37863478,255655862,21967275,15873318,11002184,11002187,12909918,8782175,8782176,12909921,9135872,8906053,8906057,13069682,13369643,9137448,9137446,9552798,9552800,6268181,6268179,9552810,13918096,19449392,254689934,13714518,18050650,12796435,12796434,13188219,13188220,13352342,18753097,15875756,11004665,11004667,15875759,21347238,15371806,15371807,20109199,20109201,26999420,25837129,25837128,25355692,25355691,21337357,15363652,15363625,10614939,8713878,8713877,8606020,5592495,5592496,8606023,12672470 Dl.O(d2) = 44465801,55311698,67651095,259160195,109432213,123625690,137357894,123625697,109432216,109432214,123625693,137357895,150399150,162529499,173562403,183358848,191922960,263223464,178398016,167983662,156418352,143909286,130598763,116770296,102676214,88667935,75019129,62198266,60744314,60744315,70936905,58219688,46851854,36973104,28475066,21255357,18155780,18155778,24603892,28616490,28616491,37127831,37127790,28616447,24603951,24603952,24603855,21380231,15397985,15397984,21380228,24604074,18155888,18155889,20139649,27032437,32192258,24604190,18155979,18155978,24604185,24604282,24604283,18156154,18156153,24604212,24604240,18156012,18156011,24604237,18156026,12874852,8755791,5700657,3547207,3547206,5700652,8755784,12874842,18156006,24604227,32192308,32191602,32191601,40971261,46851867,36973116,28475075,21255366,21255367,28475078,36973122,46851771,46851772,58219627,70936861,75693030,62745583,51114240,40972045,32192337,24604259,24604258,24603765,18155686,12874632,8755662,8755663,12874636,18155694,24603785,28475002,28475004,36973012,46785898,55343184,256819220,35119445,44496838,39848842,31166944,31166943,39848839,39849262,33023943,29437099,29437100,31167004,31167005,35119385,31337943,31337944,35119378,27032511,27032510,31337914,31337915,40016804,35119424,35119423,31167244,31167243,39849256,49871247,39848968,39848970,39849191,31167194,31167192,39849183,49871405,42761288,42761286,39849271,39849270,46780899,46780898,49871230,61353048,53331158,42869912,42869914,50522985,50522984,55343122,44496780,39848850,31166948,31166945,39848843,49871091,44835374,35410106,27284832,27284831,35410104,44835372,53493170,65516700,55743209,50036199,40016836,40016818,40016819,47771699,47771700,49203127,39276505,30679573,30679575,39276510,39045037,30455762,30455761,39045036,39276487,30679562,23262946,23262918,16999530,16999531,23262922,30679531,31104195,33023937,28654633,21411549,15422851,15422850,21411547,28654631,37172278,47064332,58440048,52106825,41792799,32871724,32871725,41792800,42872357,53333520,49203118,39276489,39276490,33828773,33731060,30466610,23057828,19402995,19402997,26092338,30003891,38574437,48487542,59879043,72617408,86215897,100179665,114211934,128100515,128100514,141466061,154135807,147317858,272028532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162674, s2 = 8254049, dlinesl.size( ) = 2 s1 = 14162674, s2 = 8254049, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162674, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 1146016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1146016, s2 = 14200758, int(edited[s2]) = 0 s1 = 1146016, s2 = 14200758, d1 = 6, d2 = 6 Dl.O(d1) = 7291226,11014102,15888435,21984351,29312291,37881233,255919091,16382929,11732484,11732485,16779896,16382912,16382913,22562378,20076640,20076641,268174447,9977512,254693923,4108441,4108440,6557875,4108435,2457532,2457530,4063365,2431781,2431783,4063373,2725649,1579309,1579310,2432876,2432875,4063781,4534896,2725965,2725964,4534178,4534176,7196978,9871774,9871775,9888463,6497372,4074682,4074681,6502646,9875230,14369312,255054336,10887591,9897524,6504671,4076029,4076030,6504673,6500546,254315545,1410073,802145,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,4531673,6483927,4071474,4071475,4061121,2430566,1405922,800077,800078,1405924,2430570,2724367,4532249,7194193,10881215,9875843,6487889,6487891,6478634,6478635,6506815,6493545,4068843,4068844,2613988,2613987,4060770,4060771,6480275,4658815,2806806,1628325,1628327,2806815,4658824,4658995,4658984,2806915,1628370,1628369,2434636,2434635,4068665,4075580,4075581,4658767,2807081,1628463,1628464,2807083,4659279,7374970,11118968,16014462,22129269,29464063,38026225,47940000,269805355,72066082,72066083,85653277,85653278,99603167,113618240 Dl.O(d2) = 7291226,11014102,15888435,21984351,29312291,37881233,255919091,16382929,11732484,11732485,16779896,16382912,16382913,22562378,20076640,20076641,268174447,9977512,254693923,4108441,4108440,6557875,4108435,2457532,2457530,4063365,2431781,2431783,4063373,2725649,1579309,1579310,2432876,2432875,4063781,4534896,2725965,2725964,4534178,4534176,7196978,9871774,9871775,9888463,6497372,4074682,4074681,6502646,9875230,14369312,255054336,10887591,9897524,6504671,4076029,4076030,6504673,6500546,254315545,1410073,802145,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,4531673,6483927,4071474,4071475,4061121,2430566,1405922,800077,800078,1405924,2430570,2724367,4532249,7194193,10881215,9875843,6487889,6487891,6478634,6478635,6506815,6493545,4068843,4068844,2613988,2613987,4060770,4060771,6480275,4658815,2806806,1628325,1628327,2806815,4658824,4658995,4658984,2806915,1628370,1628369,2434636,2434635,4068665,4075580,4075581,4658767,2807081,1628463,1628464,2807083,4659279,7374970,11118968,16014462,22129269,29464063,38026225,47940000,269805355,72066082,72066083,85653277,85653278,99603167,113618240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1146016, s2 = 14200758, dlinesl.size( ) = 2 s1 = 1146016, s2 = 14200758, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1146016, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1146100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13223169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13223169, s2 = 9300678, int(edited[s2]) = 0 s1 = 13223169, s2 = 9300678, d1 = 45, d2 = 39 Dl.O(d1) = 57733569,46383468,36523824,31255647,31255646,34314099,26435820,19697143,19250521,19250519,20118312,20118311,24484600,18061783,12805285,12805288,18061796,22835320,16614201,16614205,18155918,12874791,12874793,18155926,18062405,12805650,12805646,255607795,32050935,25617902,21997106,21997107,29327068,33719045,42748301,37169139,267996962,27009302,255170230,12700649,8628663,8628661,12700640,12700468,12700467,15434024,20155662,20155663,27048355,29485181,38048688,47961728,59352363,72085549,85671864,99620359,259527494,140861712,140861713,153538111,165329915,176022748,185494579,193760146,200847714,206829279 Dl.O(d2) = 240532092,240014462,239456183,266686906,238195298,237474011,237474010,238195296,238852323,239456182,240014461,240532090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13223169, s2 = 9300678, dlinesl.size( ) = 2 s1 = 13223169, s2 = 9300678, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13223169, Dl.E( ) = 52, 1.91e-05 seconds used appending s1 = 1146779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1314353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8020969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8020969, s2 = 1614920, int(edited[s2]) = 0 s1 = 8020969, s2 = 1614920, d1 = 40, d2 = 52 Dl.O(d1) = 4961208,4961209,7678208,5599797,5599798,4492457,2699028,1563577,1092676,613409,341116,341114,605464,1077979,254392999,5239315,8170231,5309457,3260623,1915923,1094243,1094244,1884951,1075402,1075403,1884953,254392363,5314036,8242242,12136294,12136295,12159251,8189846,8189844,11044420,11044421,8227300,7301433,255067999,22006650,29338035,256917421 Dl.O(d2) = 259568546,103261334,89171512,257120438,255606584,32784808,25086975,25086974,22982604,22982605,21884015,21884016,29196256,37757730,47679951,40787611,40787612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8020969, s2 = 1614920, dlinesl.size( ) = 2 s1 = 8020969, s2 = 1614920, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8020969, Dl.E( ) = 60, 4.2e-05 seconds used appending s1 = 14162038, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8039638, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9130497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2610653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2610653, s2 = 8160346, int(edited[s2]) = 0 s1 = 2610653, s2 = 8160346, d1 = 11, d2 = 4 Dl.O(d1) = 73540580,60793340,256394918,59154576,58551094,48866854,38947088,30360997,22959612,16723749,16723750,22959600,30360974,38947063,38181066,29613984,29613985,38181068,48092851,50541867,53678289,43167989,34084617,34084618,43167995,53678294,53678304,62033400,50541909,50541908,59148101,47749587,256311430,29385674,29385673,37950240,47868306,59263841,257811232,65163227,65163228,65163231,65163232,78446140,65163226,53178512,257220134,78446142,92483561,78446138,65163224 Dl.O(d2) = 53178510,47868303,47868304,59263839,65163233,53178523,257220136,53178515,53178518,65163232,78446140,65163226,65163225,257220138,53178522,53178523,256147100,25893384,255681564,33699379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 6601618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1481334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7922783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 719035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1481811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1481811, s2 = 1481812, int(edited[s2]) = 0 s1 = 1481811, s2 = 1481812, d1 = 0, d2 = 0 Dl.O(d1) = 37973532,37973533 Dl.O(d2) = 37973532,37973533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1481811, s2 = 1481812, dlinesl.size( ) = 2 s1 = 1481811, s2 = 1481812, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1481811, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1151000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656362, s2 = 14884395, int(edited[s2]) = 0 s1 = 11656362, s2 = 14884395, d1 = 1, d2 = 1 Dl.O(d1) = 151479358,151479359,145912789,132694784,125621051,111806493,97874036,97874035,111806491,104991066,104991065,118876310,104695362,90530064,76667730,63581658,63581657,76667735,76667736,76667737,90530071,90530047,76667713,63581640,51795891,51795889,63581638,76667710,76667717,84572585,71008721,71008722,84506403,255134044,63878442,52059742,41745470,32824612,30922834,23485094,17201419,12096295,12096296,17201420,21880171,15804649,10951573,10951572,15804650,15804803,10951689,10951688,15804801,18568830,13195315,13195314,13371594,13371596,18775933,16544060,11530557,11530556,15130366,15130363,21064180,16803807,11750170,11750169,16803804,23049381,23049382,23049383,267969648,28875010,36765435,28270368,21067675,20906084,20906086,21080040,28270005,22370602,16215880,15141938,15141939,21080118,28286097,36782915,36764894,28269811,28269810,28269416,28269417,36764501,36783098,28286302,28286303,255520782,46669757,58045179,70764137,72026974,59290589,47895016,47895015,37977668,29414674,22084435,22084434,29414672,37977666,36489519,28026989,20859696,14958183,14958182,20859694,28026985,22084419,15978365,11092132,7356275,4646874,4646873,7356273,11092134,15978370,22084427,29414661,29414662,29414660,22084420,22084421,256922783,29414678,22084439,15978376,11092138,11092139,15978377,22084440,29414680,255134040,59290593,63878441,76989184,268240790,105046110,105046109,99565728,85615331,72026978,72026977,85615329,99565725,113582265,127458454,140818795,153499894,165295750,175991524,185466458,191913848,183349185,173552768,162519618,150389183,137347883,259674580,35082163,256140650,49421135,39491366,255201604,17175923,17175922,23453161,30885075,39491365,49421134,47242852,37332852,34617574,26627974,25470326,24247475,17870526,12654975,8591898,8591899,8591920,12655028,17870604,24247550,22393227,16233452,11285597,7492384,7492383,11285595,16233447,255279646,31775636,254875052,17885094,24263250,31775640,32837096,41757961,40453328,31758688,24246885,24246886,31758690,255591800,25132939,18579661,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,28416458,36914259,31775576,24263205,17885065,17885064,24263204,21540831,21540830,22108485,22108488,22108490,29442010,255912964,47913341,37997428,29434757,22102290,22102289,29434756,29442157,22108608,22108609,28954481,21673838,15636051,10820253,7150906,6269553,6269552,9554838,13920887,19452862,26151423,33992883,33993188,33993189,38809517,30226807,22835222,21118402,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19463887,15892240,11017225,254575452,4599903,7293786,11017221,12826738,18091771,24523003,19457410,13924720,9557831,6271683,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809405,26159770,26159769,255588684,53539044,55447798,55446675,44596732,35215836,35215834,44596729,47666296,37744438,37744437,47666293,43963285,34688047,26693589,19873670,14238898,9788256,6435066,6435067,9788258,14238902,19873676,26693603,34688067,43963316,54707109,66966144,66965700,54706628,43962856,34687624,26693148,26693149,34687628,28973192,28973193,37516820,47424626,48327695,38419296,38419297,38419292,29909749,29909748,25342191,18761953,13360074,13360073,18761966,25342217,33072096,42016140,38381597,29809473,29809472,33075012,42019106,52358270,64208477,71571966,70351152,57661120,46316852,36464077,28005467,20840983,20840982,28005464,36464070,46316844,57661109,48340340,38436721,29877857,22521202,16348012,16348014,13970586,13970585,11370370,11010924,11010925,15780593,16353923,11380548,7560946,4780970,2881057,254167997,536337,300744,300745,536342,951126,1671836,2881110,4780684,7104347,4472804,2687220,1671431,1671430,2880235,4779345,7558226,4779590,4779589,7557617,4778984,2880022,2880023,4778986,7556393,4778214,4778215,7556396,11374202,16346463,22519829,22522612,16349459,11380127,7560641,254395626,1671774,1671777,2880978,4088348,6525079,9928453,11380113,7560633,7560634,11380117,16349093,16344551,11372662,7555374,4777657,2879335,1670983,1670982,2879330,4777646,7555350,11372615,16344497,22517898,29875106,23590377,22530323,22530324,28840495,21569188,15546908,15546909,21569191,28840503,22498128,22498129,23647716,20123119,17321345,17321344,14435823,9930167,6526132,6526116,6526063,6526068 Dl.O(d2) = 151479358,151479359,145912789,132694784,125621051,111806493,97874036,97874035,111806491,104991066,104991065,118876310,104695362,90530064,76667730,63581658,63581657,76667735,76667736,76667737,90530071,90530047,76667713,63581640,51795891,51795889,63581638,76667710,76667717,84572585,71008721,71008722,84506403,255134044,63878442,52059742,41745470,32824612,30922834,23485094,17201419,12096295,12096296,17201420,21880171,15804649,10951573,10951572,15804650,15804803,10951689,10951688,15804801,18568830,13195315,13195314,13371594,13371596,18775933,16544060,11530557,11530556,15130366,15130363,21064180,16803807,11750170,11750169,16803804,23049381,23049382,23049383,267969648,28875010,36765435,28270368,21067675,20906084,20906086,21080040,28270005,22370602,16215880,15141938,15141939,21080118,28286097,36782915,36764894,28269811,28269810,28269416,28269417,36764501,36783098,28286302,28286303,255520782,46669757,58045179,70764137,72026974,59290589,47895016,47895015,37977668,29414674,22084435,22084434,29414672,37977666,36489519,28026989,20859696,14958183,14958182,20859694,28026985,22084419,15978365,11092132,7356275,4646874,4646873,7356273,11092134,15978370,22084427,29414661,29414662,29414660,22084420,22084421,256922783,29414678,22084439,15978376,11092138,11092139,15978377,22084440,29414680,255134040,59290593,63878441,76989184,268240790,105046110,105046109,99565728,85615331,72026978,72026977,85615329,99565725,113582265,127458454,140818795,153499894,165295750,175991524,185466458,191913848,183349185,173552768,162519618,150389183,137347883,259674580,35082163,256140650,49421135,39491366,255201604,17175923,17175922,23453161,30885075,39491365,49421134,47242852,37332852,34617574,26627974,25470326,24247475,17870526,12654975,8591898,8591899,8591920,12655028,17870604,24247550,22393227,16233452,11285597,7492384,7492383,11285595,16233447,255279646,31775636,254875052,17885094,24263250,31775640,32837096,41757961,40453328,31758688,24246885,24246886,31758690,255591800,25132939,18579661,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,28416458,36914259,31775576,24263205,17885065,17885064,24263204,21540831,21540830,22108485,22108488,22108490,29442010,255912964,47913341,37997428,29434757,22102290,22102289,29434756,29442157,22108608,22108609,28954481,21673838,15636051,10820253,7150906,6269553,6269552,9554838,13920887,19452862,26151423,33992883,33993188,33993189,38809517,30226807,22835222,21118402,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19463887,15892240,11017225,254575452,4599903,7293786,11017221,12826738,18091771,24523003,19457410,13924720,9557831,6271683,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809405,26159770,26159769,255588684,53539044,55447798,55446675,44596732,35215836,35215834,44596729,47666296,37744438,37744437,47666293,43963285,34688047,26693589,19873670,14238898,9788256,6435066,6435067,9788258,14238902,19873676,26693603,34688067,43963316,54707109,66966144,66965700,54706628,43962856,34687624,26693148,26693149,34687628,28973192,28973193,37516820,47424626,48327695,38419296,38419297,38419292,29909749,29909748,25342191,18761953,13360074,13360073,18761966,25342217,33072096,42016140,38381597,29809473,29809472,33075012,42019106,52358270,64208477,71571966,70351152,57661120,46316852,36464077,28005467,20840983,20840982,28005464,36464070,46316844,57661109,48340340,38436721,29877857,22521202,16348012,16348014,13970586,13970585,11370370,11010924,11010925,15780593,16353923,11380548,7560946,4780970,2881057,254167997,536337,300744,300745,536342,951126,1671836,2881110,4780684,7104347,4472804,2687220,1671431,1671430,2880235,4779345,7558226,4779590,4779589,7557617,4778984,2880022,2880023,4778986,7556393,4778214,4778215,7556396,11374202,16346463,22519829,22522612,16349459,11380127,7560641,254395626,1671774,1671777,2880978,4088348,6525079,9928453,11380113,7560633,7560634,11380117,16349093,16344551,11372662,7555374,4777657,2879335,1670983,1670982,2879330,4777646,7555350,11372615,16344497,22517898,29875106,23590377,22530323,22530324,28840495,21569188,15546908,15546909,21569191,28840503,22498128,22498129,23647716,20123119,17321345,17321344,14435823,9930167,6526132,6526116,6526063,6526068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656362, s2 = 14884395, dlinesl.size( ) = 2 s1 = 11656362, s2 = 14884395, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656362, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 9116037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9116037, s2 = 8295772, int(edited[s2]) = 0 s1 = 9116037, s2 = 8295772, d1 = 3, d2 = 0 Dl.O(d1) = 72042101,59306729,256925748,37996754,37996753,37996755,47912627,59306730,59306731,70734736,58019949,46646704,46646705,36760884,36760885,46646714,38840147,30256611,22861247,16634623,16634622,22861245,30256604,37996723,29434074,22101634,22101633,29434055,22101623,22101622,29434052,37996698,31024413,23543003,23543002,28092681,28092680,36562808,38703926,30127206,30127205,36931412,28432717,21208675,15242230,10515035,6934194,6934195,10515036,15242233,21208680,28432723,29434094,37996756,47912628,59306734,258737077,99579793,113595699,127470980,262222939,175999475,185473545,193741215,200831512,264495645,215800762,219142459,218381003,264687779,205553020,199321641,191956574,183394843,173600980,162571105,162571104 Dl.O(d2) = 173600982,162571106,150442811,137403388,123672265,109480431,95226516,81170243,67704736,55364948,44518880,35142331,27056869,20163336,20163335,27056867,35142330,44518879,259164417,81170242,95226515,109480430,123672262,137403387,150442809,162571103,173600979,183394842,191956572,199321640,202248313,271822324,178097756,167635124,156026339,143488326,130157601,116246410,102184122,102184123,97995931,84120394,84120391,84120392,72988603,60253089,48860241,38940662,38940663,39379928,39379929,49307650,60709940,73458240,64585220,52684619,42297984,33317379,29642624,29642625,38209269,48119722,59507248,72241864,258670294,99786625,113800446,127668425,141016508,153682592,159566746,147207665,133985072,120143613,105931555,259044805,64613423,52713114,52713113,59860922,48469896,38557175,38557176,48469899,59860925,51063293,40922703,32145308,24562552,18123200,18123201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9116037, s2 = 8295772, dlinesl.size( ) = 2 s1 = 9116037, s2 = 8295772, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9116037, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 6597379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7920200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656928, s2 = 14048396, int(edited[s2]) = 0 s1 = 11656928, s2 = 14048396, d1 = 15, d2 = 8 Dl.O(d1) = 6488758,6507772,4078069,2440005,1410730,1410732,2440012,4064974,6487312,6486067,4064253,2432226,2432225,4064247,6486055,6508107,9865520,9896410,14390441,10891266,9884601,6494581,254687361,6505484,9877393,9877392,9874448,6486898,4064725,4064724,4073856,6501402,9891091,9893570,14387869,14392560,14369870,9875768,6487826,6487828,9874436,6487975,4065367,4065368,6487978,4539875,4539874,7205839,7699284,4872888,4872887,4875415,4072765,254470063,9891358,14385823,17585405,17585406,20055974,14370481,255324619,14371354,9884304,254686617,6488857,6488856,4073341,2437329,1409331,1409330,2437323,4073330,6500562,9882950,10812304,9895507,9895508,6502959,4074903,4074905,6502968,9866615,6481450,6481451,9866606,10882392,10882391,14361884,9871017,6484492,4063343,4063342,6484489,9871014,14364395,255739663,20038805,20038804,14389461,14379406,11732532,7833190,7833189,9900631,254686641,4066058,4066059,4066344,4066345,6489552,9878056,9876981,6488756 Dl.O(d2) = 35194295,44572419,55378857,44532628,44532629,35195848,27106400,20206028,20206029,20206012,20206011,27106380,35195827,44532570,35156350,27070429,20175308,14475396,14475397,20175311,27070434,35156357,44532577,55378822,44572411,44532656,35156422,27070478,20175335,20175336,27070481,35156429,35156373,27070442,27070443,35156375,44532599,55378844,67718655,67718643,55378827,44544043,35166347,35166348,44544044,44571938,55419123,57818949,46462939,46462941,55419528,44573988,35195790,35195789,44532592,35156370,27070441,20175313,20175312,27070439,256228433,20205999,14499067,9976747,9976748,14499070,20206006,27106373,35195818,44532564,35156342,35156344,44532565,44532566,35193856,35193855,35194225,44572352,55419545,63710509,63710511,76811800,67718653,67718654,55422413,44575067,44575066,55419102,67718682,55378878,55378877,67718679,55421188,44573961,35195774,35195773,36596602,28123261,20945643,15037061,15037062,20945644,28123265,31823801,40520771,42314152,42314151,52701269,64602019,67761253,55421227,44574014,44532646,35156414,35156413,44532645,55378868,55421220,44574003,44574002,55421218,55419541,44572350,44572349,55419538,55421236,55419935,55419934,67759964,67761249,55422415,268830051,35196771,35193854,35193853,44571926,55419107,67759109,67762516,55422383,44575040,35196737,35196738,44575041,51903808,55419981,55418223,44571117,35193086,256753645,35166362,27078624,20181644,14479727,14479726,20181642,27078621,35166359,44544063,44572847,55420004,55421191,67718647,55378830,44532588,257316595,51903847,41604056,41604057,51903848,49116066,257592609,59222615,57771841,46418048,36554835,28085821,28085820,36554833,46418045,57771838,70471183,84004795,85548386,99495105,113506318,127376396,113506380,99495168,85548432,71960777,71960778,65381701,65381702,78686312,86535475,84004786,70471172,70471173,70471159,70471160,84004773,97873506,88438503,74805819,257592650,50517169,62009022,74805824,88438513,102440564,113506350,99495150,85548416,85548415,99495149,113506356,127376435,127376412,113506335,99495123,85548402,85548401,99495120,85548408,85548409,99495136,113506347,99799220,85847020,72255802,59522074,48135005,257520585,72255805,85847024,99799228,113812904,127680632,270302630,105889275,91682434,77755598,64573061,64573060,77755595,258284526,120100704,127680611,113812919,99799248,85847046,85847047,99799250,113812921,119727350,119727348,133601664,133601668,146859109,272752880,99799198,99799199,113311687,103124860,99308163,85363356,72255786,72255789,85847001,99799194,113812874,99799238,99799237,99799281,85847076,85847075,99799280,113812946,106662088,92357571,78324037,65044169,53061327,42613580,33589678,25793915,254425348,10683661,10683662,10647108,7029902,7029903,7057608,10683666,15451824,18918273,13486916,9227415,9227414,13486913,18918269,25527919,28577777,21348639,15372969,15372968,21348636,24635740,24635741,25241111,25241112,32962620,36924854,46803008,58170359,70884403,62511126,57878051,46522443,46522442,44752001,254733518,267825038,14546731,20274401,21448820,28701112,37227277,31986522,31986521,36655255,28179225,24473375,18052877,15237156,10670338,10670337,15434632,15237192,10511235,10511236,15237193,21202769,15237197,10511241,6931411,6931412,10511243,12798250,10402979,10402978,15082308,15237133,15237132,15082320,254716303,6857563,10402984,15082318,20997131,28179199,28426331,28426330,36924951,40008147,37227275,31330017,23838542,23838543,31330019,36655253,28179223,28179224,28426215,21202652,21202650,28426213,21202764,255816407,15237128,10511186,255021635,21202707,21327466,15434618,15434619,21427032,20997160,15082343,10402995,6857566,4303643,2573097,2573099,4303647,6857573,10403005,10511234,15237188,10511245,10511247,15237202,21202778,28426337,31330012,23838540,255174150,12338321,15237151,15237149,15237078,10511152,6931365,6931366,10511154,15237084,10511213,10511212,6931404,6931403,10511191,6931387,4354977,2608685,2608684,4354974,6931381,10511180,15237121,10670328,7047374,7047373,10670326,15237072,15434629,10670334,10670333,10402990,10402991,15082336,15082348,255800513,36655258,28426257,21202693,255254493,13349382,18750676,25330556,28426284,28426285,255360826,15237098,15237099,21202674,28426208,28426336,28426335,28426317,28426318,36924897,255816403,15237107,10511170,6931373,4354972,4354971,6931370,255021633,21202682,18750679,255021639,10511209,15237159,21202731,28426160,28179213,20997144,20997142,20997153,21202755,21202754,28426305,28426261,21202696,15237115,10511175,10511174,15237112,10511220,6931400,6931401,10511225,15237177,21202750,28426312,36924743,28426077,28426076,24473378,24473379,21202598,15237036,15237035,21202595,21202635,15237105,10511166,10511162,10511161,15237102,21202680,28426252,25070888,25070889,25330559,28426323,28426322,33629216,28426155,21202586,21202588,28426159,36924821,269307641,70884381,70884420,269073462,36924795,28426299,21202741,255021641,10511218,15237169,255816411,28426163,21202591,15237033,10511119,6931349,6931350,10511121,15237039,21202603,28426164,28426219,268913867,28426092,28426093,36924765,36924891,28426246,28426247,36924876,268296624,15237090,10511158,10511159,15237097,21202672,28426239,36924889,46803025,256844707,36924760,268379273,15236988,15236987,21202529,21202738,15237166,15237165,21202736,28426148,21202582,15237026,10511114,10511116,15237028,21202585,28426152,36924816,269307639,38647743,38647744,48563157,258033163,257198236,28426180,22306643,16160271,11227787,7450037,7450036,11227786,16160269,22306640,256398567,29658742,38224941,40060328,31377644,31377643,40060324,48135019,59522097,72255827,85847051,87942581,74339798,61562300,50081867,40060298,31377621,31377623,40060300,50081870,59360050,258117147,61562329,72255825,258120352,38224933,29658738,22306646,22306645,29658734,38224925,48135033,59522109,72255835,85847065,99799271,101915233,87942620,87942622,101915236,115959298,101915250,87942638,74339855,61562348,50081908,50081909,258263305,87942640,85719154,269810072,99799258,87942589,258263303,258885929,101915186,115959253,127680658,138733907,129856728,115959301,115959300,129856727,143185647,155738095,143346283,130012760,116103467,102046135,88060976,74448956,74448955,88060975,102046132,102046143,259290354,109581419,123771836,123771830,109581415,95326073,81266560,70310106,57619655,57619656,70310108,81266572,67798723,55456984,55456983,67798720,81266584,95326086,259932134,83835162,258061284,46275253,36422618,27964254,27964253,36422616,46275248,57619651,70310103,83835147,70310146,61665112,61665113,258663686,55456979,55456978,67798715,81266578,70310115,70310117,67798702,55456969,44608433,35227561,256756539,55456965,67798695,55457003,55456970,44608434,35227562,256382432,16784233,11735489,11735488,12683306,255075014,12683307,17903725,23025945,268964513,30431877,23025935,23025936,29270682,21948088,21948087,29270680,31798577,39021325,39021324,37836815,29270686,21948090,21948089,29270684,23025942,23025941,30431883,23025938,16784172,11735444,7835056,4973402,4973403,7835058,11735448,16784179,23025951,30431890,30431891,30431879,30431878,39021312,48944363,59157894,48944376,48944375,48944381,48944386,39021330,30431893,30431892,39021328,48944382,48944389,39021333,39021334,48944391,60341311,73081016,73081002,258772580,258188777,258188126,60341298,48944373,39021318,30431881,30431880,39021314,257580242,62849770,62849769,75813375,62849763,268419424,32251270,32251271,41044275,51200333,256999846,80353260,67618833,258528293,80353259,271146395,271324946,99528000,258096452,269803835,60431989,60431988,270350295,259441181,88441204,74808620,74808621,86791310,258322738,73178833,60431974,256726070,39099522,49028361,49028368,49028358,49028357,60431970,73178828,86791306,86791311,86791312,86791318,260058013,100772118,86791309,73178835,257686297,40484432,40484431,50519921,60431985,49028366,39099525,257585839,73178845,73178813,60431979,49028363,49028362,60431977,73178837,258507138,60431961,256726068,23089492,23089493,30503598,39099517,49028356,54670699,43928324,43928323,54670695,60431965,73178820,259136026,86791305,73178826,73178825,86791304,100772114,114824146,128724201,116539738,102443045,102443046,108694541,114824140,259136022,86791297,270634600,66927203,66927202,80353223,94407472,108694542,107406986,107406987,259136024,260058011,259722583,78888260,270578017,259997619,85865215,72273815,72273816,67618844,65553297,53528422,43048556,256174991,19450813,19450812,26148842,33989772,43048553,46411068,38923215,30336946,30336945,24014660,24014659,31515532,40202024,50224372,48570428,48570427,59962670,72700513,72700515,72700516,72937115,257594072,52678170,64578483,64578485,270316731,59290939,59290938,60197892,268963056,60820237,73567585,84435518,71666714,58944975,47562082,47562081,49853374,39830011,36919063,28421107,21198556,15234100,10509044,10509043,15234076,21198520,28421070,36919014,46796797,38659999,38659998,48575863,59967598,50841687,40735718,40068719,31386201,31386202,40068722,37411664,28870311,21595364,21595363,256339241,269319705,58934571,47552874,37647723,29098807,21801110,268392615,11826225,11826226,11968367,17060260,23326304,18970906,13535662,13535660,18970902,25579172,21237897,21237896,18959780,18959779,24219553,21265298,21265299,22375862,22375861,25578468,29673819,31216886,31216885,31394468,23900964,17556276,12385637,12385639,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12436172,10693564,7064740,4448104,4448103,7064735,7957574,11899214,268242681,18968412,22391336,16232213,11284768,7491790,4735319,2853600,2853601,4735321,7491794,11284775,16232220,17821223,17821222,21632633,28906752,37445957,37445893,28906671,28906670,28906639,21632516,15601316,10792900,10792902,15601320,21632520,28525078,21303380,15334545,10591018,6986573,4390116,254497697,255028861,21303384,28525081,29314169,30554004,23136294,16876097,11806361,10591011,6986566,6986565,10591009,15334535,21303364,18536749,13171279,8978561,5861832,3659580,3659582,5861836,8978566,7510399,7510400,11311846,10833782,254508011,4510465,7161481,254972407,9881840,10833748,7161461,4510456,4510457,7161466,10833760,15652219,21692379,22023406,15922462,11045457,11045456,15922459,17623312,15765309,268215889 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9762956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9762956, s2 = 14164309, int(edited[s2]) = 0 s1 = 9762956, s2 = 14164309, d1 = 0, d2 = 0 Dl.O(d1) = 22113833,22113834,22113836,22113837,29447324,38009538,38009539,47924381,47924380,58708803,71440206,71440207,85012968,98938422,112927679,126782200,140132654,142541591,129165154,115233985,101156485,87158440,73540060,60792826,49392221,39463794,30859256,23428137,17150831,12054341,12054343,17150836,23428146,30859266,37881129,37881130,42303290,255786410,18947801,13511049,254653669,6054789,254926641,18947802,25560523,33322531,42303292,51655011,41413414,32554541,24904273,24904274,32554544,41413418,51655017,49166060,49166061,269081466,79082193,268297506,43159508,34075711,26214983,19501473,13957961,13382383,13382382,18788774,23911094,21134120,21134119,15184649,10473986,6906056,4337591,2596794,1498010,848893,848894,1498014,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,2271795,2271792,3791200,6059182,9251639,13519704,10842571,10842573,8362105,8362103,12374613,9237938,9237940,13502240,18938035,268495081,49395713,60796379,73543432,87161824,86464972,72869545,60132835,48738102,43316939,34219356,26345588,19616565,14057219,14057218,19616563,26345585,34219346,34219352,43316938,52404289,257564946,65907299,70989463,58275032,255442248,37033136,39919786,40011932,31333592,31333591,40011929,50030578,61508678,59363901,47973453,38061350,29498580,22159809,22159356,16038218,16038219,22159359,254848488,15917199,15917200,22018604,29350304,29497704,23236298,16964167,11876173,11876172,16964165,23236294,22159790,16038623,11136455,11136456,16038645,22159817,29498591,33993622,26152081,19453316,13921161,9554992,9554991,13921155,19453306,16038576,11136417,7386672,7386671,7386616,4666525,2811358,1630962,927471,522782,522783,927475,1630971,2811381,4666568,7386336,7873422,7873421,11136299,7873457,7873458,11790853,16038553,16003036,11110031,11110030,16003030,16037561,16037562,22082582,22082581,16038190,11136123,7386822,4666640,2811416,1630986,1630983,2811386,4666576,7386718,11136498,7929562,5040750,5040751,7929563,11864848,11585382,7711421,7711422,11585384,255498349,29497739,22158841,22082683,22082680,16003135,11110101,11110102,16003141,17168710,12071843,12071842,16003866,16038863,22082529,29412958,22159798,16038633,16038634,22159801,29498329,29497765,29449877,254797182,11110393,11110394,16003107,16003106,22115830,29449519,29449702,29449703,37971653,29407747,29407746,255498356,47926575,255116146,30224091,22832100,22832099,29450125,38012279,255471536,38011515,255941032,16002823,16002822,22115575,29449266,37974082,30736643,30736644,39334548,48215338,48215339,58241748,58241750,59288110,47891980,37974062,29410598,22080094,22080095,29410599,37974065,47891985,59288114,48506663,38591725,38591724,48506665,255172382,29410447,22079988,15974470,255448461,29410449,33992371,256453906,39271554,39271555,48506791,38591879,38591878,48506790,38591997,268415148,48506880,38591990,30019414,22646916,22646917,30019416,30019163,22646733,22646732,30019161,38591729,48506674,59900293,72641703,85548688,71961056 Dl.O(d2) = 22113833,22113834,22113836,22113837,29447324,38009538,38009539,47924381,47924380,58708803,71440206,71440207,85012968,98938422,112927679,126782200,140132654,142541591,129165154,115233985,101156485,87158440,73540060,60792826,49392221,39463794,30859256,23428137,17150831,12054341,12054343,17150836,23428146,30859266,37881129,37881130,42303290,255786410,18947801,13511049,254653669,6054789,254926641,18947802,25560523,33322531,42303292,51655011,41413414,32554541,24904273,24904274,32554544,41413418,51655017,49166060,49166061,269081466,79082193,268297506,43159508,34075711,26214983,19501473,13957961,13382383,13382382,18788774,23911094,21134120,21134119,15184649,10473986,6906056,4337591,2596794,1498010,848893,848894,1498014,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,2271795,2271792,3791200,6059182,9251639,13519704,10842571,10842573,8362105,8362103,12374613,9237938,9237940,13502240,18938035,268495081,49395713,60796379,73543432,87161824,86464972,72869545,60132835,48738102,43316939,34219356,26345588,19616565,14057219,14057218,19616563,26345585,34219346,34219352,43316938,52404289,257564946,65907299,70989463,58275032,255442248,37033136,39919786,40011932,31333592,31333591,40011929,50030578,61508678,59363901,47973453,38061350,29498580,22159809,22159356,16038218,16038219,22159359,254848488,15917199,15917200,22018604,29350304,29497704,23236298,16964167,11876173,11876172,16964165,23236294,22159790,16038623,11136455,11136456,16038645,22159817,29498591,33993622,26152081,19453316,13921161,9554992,9554991,13921155,19453306,16038576,11136417,7386672,7386671,7386616,4666525,2811358,1630962,927471,522782,522783,927475,1630971,2811381,4666568,7386336,7873422,7873421,11136299,7873457,7873458,11790853,16038553,16003036,11110031,11110030,16003030,16037561,16037562,22082582,22082581,16038190,11136123,7386822,4666640,2811416,1630986,1630983,2811386,4666576,7386718,11136498,7929562,5040750,5040751,7929563,11864848,11585382,7711421,7711422,11585384,255498349,29497739,22158841,22082683,22082680,16003135,11110101,11110102,16003141,17168710,12071843,12071842,16003866,16038863,22082529,29412958,22159798,16038633,16038634,22159801,29498329,29497765,29449877,254797182,11110393,11110394,16003107,16003106,22115830,29449519,29449702,29449703,37971653,29407747,29407746,255498356,47926575,255116146,30224091,22832100,22832099,29450125,38012279,255471536,38011515,255941032,16002823,16002822,22115575,29449266,37974082,30736643,30736644,39334548,48215338,48215339,58241748,58241750,59288110,47891980,37974062,29410598,22080094,22080095,29410599,37974065,47891985,59288114,48506663,38591725,38591724,48506665,255172382,29410447,22079988,15974470,255448461,29410449,33992371,256453906,39271554,39271555,48506791,38591879,38591878,48506790,38591997,268415148,48506880,38591990,30019414,22646916,22646917,30019416,30019163,22646733,22646732,30019161,38591729,48506674,59900293,72641703,85548688,71961056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9762956, s2 = 14164309, dlinesl.size( ) = 2 s1 = 9762956, s2 = 14164309, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9762956, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 6747866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8120952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8120952, s2 = 2538795, int(edited[s2]) = 0 s1 = 8120952, s2 = 2538795, d1 = 22, d2 = 20 Dl.O(d1) = 255450413,29463439 Dl.O(d2) = 72065381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8120952, s2 = 2538795, dlinesl.size( ) = 14 s1 = 6515141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9101674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346481, s2 = 11204039, int(edited[s2]) = 0 s1 = 10346481, s2 = 11204039, d1 = 25, d2 = 12 Dl.O(d1) = 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63830908,76938281,259629855,95617030,259807695,101760226,87787224,74182986,61402998,61402999,258667819,71008020,76938186,76938187,90814106,104991659,100776709,100776708,91871647,77947286,64753280,64753282,76938195,76938194,90814112,104991661,113627037,113627038,104991668,260758281,102486197,272224214 Dl.O(d2) = 81271384,92299662,271518151,76841365,76841366,63930531,61349104,49866935,258952448,46697666,38313573,38313572,47840806,48106746,41734742,41734743,37465012,28925209,21649357,255046586,7139479,7139480,7138810,7138811,10803835,7139225,4495090,4495091,7139232,4495186,4495188,4495689,2701147,1564891,1564890,1564851,1564817,1564818,1564606,889482,501857,281438,155392,85257,85258,155398,281441,501861,889490,1564613,1564683,889544,501897,281460,281461,501902,889551,1564705,2700847,2700713,2700712,4494974,7139107,10803893,10804589,7139473,4495250,4495249,7139466,7139344,7139343,10803830,15615044,10804390,7139221,7139220,10804384,7139366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346481, s2 = 11204039, dlinesl.size( ) = 2 s1 = 10346481, s2 = 11204039, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10346481, Dl.E( ) = 26, 3.81e-05 seconds used appending s1 = 1154484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1486029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 944749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2196507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1487639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13282813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6515418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657416, s2 = 14044337, int(edited[s2]) = 0 s1 = 11657416, s2 = 14044337, d1 = 71, d2 = 61 Dl.O(d1) = 123583187,109391196,95136774,81078568,67610873,254832298,35047697,35047698,44422295,36798036,28300745,21092275,16387159,11405228,11405229,16387164,22515891,22515889,16350947,16350949,22455327,22455328,17099789,12013983,12013982,17099784,16350950,16350952,22077849,29408454,37972202,46683817,36798548,32785193,256341598,33234153,25485285,18882368,18882369,21094251,21094249,20304017,20304018,27233135,25087353,18542590,255995600,36798778,36800097,28303173,21094302,21094301,28303172,27233444,20304239,20304238,23357651,18543525,18543524,255416340,25087361,255242525,8981258,5863627,3660783,2190262,2190261,254437147,8981246,13175343,18542560,25087308,32785153,29881052,29881051,38439268,35356289,27233595,20304359,20304357,23037700,20950183,15041361,15041364,16336025,11366114,11366113,8209073,8209076,12177377,17299281,14514706,14514707,20227101,25088237,25088240,25089868,27133036,23768677,20227167,20227168,27133029,20227250,14514802,9987660,9987657,13175565,8981515,8981514,13175801,18543314,25088408,25088214,18543171,13175713,8981458,5863737,5863735,8981452,13175701,10588627,10588626,15331091,21298719,25088615,254161350,18543735,13176072,13176071,18543734,25088953,32786826,35175142,35227044,44608015,55456582,60624631,49223423,39296424,30698837,30698836,39296423,49223421,43894833,43894834,54637756,46684840,46684839,36805746,36805747,46689737,36808665,36808666,268388520,58065449,46692956,36809538,34622991,268395012,22509759,22509760,29869085,38430191,40044798,38318174,29749309,28335312,21123346,21123345,28335309,30183123,28892434,21616259,15586404,15586403,21616256,28892430,22793595,22793597,30183161,31505595,24006601,17660901,16577128,16577126,21614189,15602752,15602753,21634279,17660890,267823852,254728596,21101423,28311710,255094040,7743044,268961565,86525922,261282382,81023379,256512230,44359350,47425306,47425305,47256371,37346959,37346960,37347576,28809135,21541599,15525143,10737250,10737248,10737176,10737177,15525038,255843725,15525069,15525068,21541498,28808988,271326376,255919565,11404746,255919567,36832944,46715486,58087204,58087218,46715497,36832959,28336457,28336456,36832956,42049731,42049732,52393438,269784124,38574661,38574662,48015274,48015275,48487750,48487749,49905733,61386142,74158436,84854811,71281361,61386123,61386124,74166718,73258385,60512239,60512240,59774126,59774125,48487757,268138126,38437635,38437636,48341238,59725640,70828936,70828937,72109648,59879232,59879231,59879228,59879229,72617596,85695711,72109686,59376893,59376867,47986525,255866370,59774147,59774148,71789271,59047751,47646380,37724511,29164624,29164623,37724510,37724528,29164639,29164638,37724526,47646387,41954689,33012380,33012382,33012362,256629491,52295559,47644040,37721982,37721981,37724507,37724508,47646373,48391065,38487909,38487908,48391063,59774121,59045634,59045632,255866188,29162126,21853628,15782489,15782488,21853623,29162120,37721930,29163540,29163541,37723466,47645486,59047022,71788626,71788617,59047017,59047018,71788622,59693051,48306043,48306014,48306013,59045625,269798605,71787287,59047032,47645488,37723467,37721114,29161318,21852880,21852877,29161310,21853804,21853803,29162291,37722109,255430988,17583792,12411315,12411316,17583795,255058644,31414537,23924917,23924916,23924979,21576328,15552998,15552999,21576330,28848110,37388171,40094287,31414508,23924892,23924890,31414504,35406972,44832422,55740319,68138341,59047400,47645945,37723991,256022041,8388451,12411476,17584099,23925424,31415181,31415023,23925303,17584035,12411442,8388436,5412980,5412981,8388438,12411449,17536106,12368252,12368253,17536107,12411426,8388428,8388427,12411423,17583998,23925252,31414893,23925204,17583994,12411422,8388426,5412975,3327351,3327350,5412971,8388418,12411406,17583958,23925102,23925104,31414761,40094541,47278542,47278898,254738952,37368840,254738978,37369332,255042354,58669900,58669901,58669898,268210130,40094632,40094616,255844842,61594947,50464239,40426567,31732506,24224084,24224085,31414839,23925160,17583949,12411403,8388416,8388415,12411400,17583947,23925158,28829299,28829301,31414778,31414776,36821990,37368775,37368774,31414788,23925121,17583928,254738976,31414783,39308475,30710742,30710743,31732528,24224098,256043339,40426598,48002488,38091009,38091008,46673470,256239466,39308465,30710729,23294180,23294179,30710725,38091054,48002519,256878296,40376997,257509951,58825064,58825065,58076709,46704578,36821900,28326505,28326506,36821902,46704585,58076712,70794046,74020687,61240017,49760949,49760950,40377000,40376999,50411602,48529711,38613697,30039064,30039065,29527449,22185113,16058139,11149942,11149941,11149956,11149951,16058153,22185137,29527494 Dl.O(d2) = 256465991,23152961,255134807,11820470,16891940,11820456,11820457,16891941,22862287,22862291,16891756,11820338,7898628,7898610,5019771,5019772,7898611,11820318,255964927,30569917,23152502,16891606,16891607,23152503,255074954,11092244,7356335,7356337,11092202,7356313,4646901,4646902,7356316,11092207,11092080,7356239,4646851,4646852,7356240,11092076,7356236,4646849,2799077,2799076,4646847,7356233,4646872,2799089,1623724,1623721,1623720,2799084,4646862,4781340,4470724,4103397,2454462,2454464,2879701,2879702,4777893,4777894,6890209,4325509,4325508,6890204,10452356,15156022,15539360,15539359,21560364,21599507,15571910,10771176,10771177,15571916,16352316,16352315,21566995,19878688,16354512,16354511,22527329,29882698,29884795,29875024,22517768,16344349,11372516,254759326,16459480,11468410,11468411,16459483,22650868,22517596,254261644,23607217,22506342,22506341,29866692,38428606,29882386,29307666,29307668,23856997,17513766,17513765,23856994,31350902,29864385,29864386,30279888,23589525,23589524,27086395,20188199,16339842,11368970,8024428,8024429,11977375,15905774,12139511,8169146,5238310,5238311,8169149,8212069,8200523,8200524,12168658,12200481,12200482,13330546,13330545,18725793,17512977,17512976,20127185,20124799,20124798,23602705,17290044,12169096,8201047,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433313,20125095,22511491,28940116,27015568,22520647,17341468,17341469,17320295,12195424,12195423,17320290,22389045,22389044,23633688,20122461,17315672,12190969,8221151,5291052,3242383,3242380,5291040,8219683,8219681,12189306,17313805,22494620,20124961,14433192,9928277,9928276,12157130,11750237,7845355,7845356,11750243,14431550,11348099,7540695,7540696,7544324,11354797,12168617,12168615,17289595,20125012,16788158,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545207,8210112,8210110,12178489,17300515,23613555,31097128,29874688,29874689,30436580,30436579,30446452,23038731,23038730,22777420,22777421,22493182,21563577,17318563,12193797,12193798,17318566,22480073,16309513,11347575,11347576,16302324,16302323,22471675,29839359,22932021,22932020,255187996,29846604,28856665,21583752,21583751,254520178,254577164,28312157,21101805,15157596,10453366,6890781,6890784,10453376,15157609,21101827,16309535,16309534,16316806,15327859,15327858,21294345,22019206,21296009,15329034,15329031,12118258,12118259,17236186,21297302,15329972,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459208,254832542,22479731,22479732,28518720,28518719,22019317,22019316,29350901,28518485,21297538,15917847,15917846,22019024,15918319,11040364,7314688,4617292,4617291,7314685,11040358,15918309,22019658,29341868,22009936,22009935,28519130,22973104,16736589,16736590,21297932,21297933,22023921,15922884,11045721,7320540,7320538,11045716,15922879,22023912,22023842,15922828,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,254718942,10470402,6903214,6903213,10470401,15179879,21128280,27015645,35102293,28303705,23586832,23586831,29877279,37876005,29307080,29307081,29880335,29880336,29351927,22020602,22020603,29351931,28516049,21294908,15328257,15328256,21294905,16019032,16019031,22135068,27232834,20303740,14570894,14570895,16357731,22021762,16337349,16302914,15328238,11468005,7628127,7628125,7289256,4596620,4596621,7289240,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556143,11373837,12071600,12071604,17168369,17321408,17316367,17316365,22515166,16341970,16341971,20123007,20123006,23568215,27017960,22515367,22515366,22529669,29880942,255160134,29873309,22515442,16341980,16341979,254519542,22514893,16341380,11370205,11370206,16341381,22514896,29872983,29873127,27016183,20124180,14432451,14432453,16344122,16344121,20188819,20188817,16332552,11363291,11363292,11372364,11372366,16344160,20127466,14435512,14435513,20127473,22528613,17259376,16694496,11655514,7767097,4920789,2967217,2967218,4920792,7767103,11363031,11363033,16332212,17259419,12215380,8245658,5317252,5317254,8245670,10752375,15546663,20125275,14433477,11010706,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,7391353,11143463,254394334,12193970,254183176,5294793,8224364,12193983,254265538,31121061,38749629,38749630,48323401,38412017,29839240,29839241,23631576,23631575,23358323,17089820,12002113,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308431,14222459,14222460,19851893,17096171,12009445,12009447,17096180,16302006,16302005,22471205,22777682,22777680,30166649,38411679,38411678,38411957,29839150,22471458,16302168,12189085,8219465,8219464,11343078,7538046,4768634,2874852,1668918,1668917,2874843,4768613,7538002,4859875,2928631,2928632,4859884,7680709,11544825,16562441,22777690,29857989,22493900,22493899,29857984,23660397,17343583,12217132,12217133,17343586,22479102,22479103,22478600,16307794,11346507,11346508,16307799,22478583,20080997,16302041,16302040,16302351,16302352,21081662,21081663,22471627,16310803,11348395,11348396,16310807,22482266,23378588,22471505,16302199,11343048,7538036,7538037,11343054,16302217,11371198,7554393,4777114,2879077,2879074,4777087,7554337,11371092,16342563,22516002,28238251,21039823,15328025,15327971,10586776,10586780,15327995,21294545,17273757,17273758,17271616,12150589,12150591,17271625,21081082,15142585,10443698,6884829,6884828,4321911,4321909,4321913,4321914,6884861,10443759,15142698,16306405,11345545,10587326,6984168,6984169,10587330,10587196,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826478,7628502,11345385,7539236,4769176,4769175,7539234,254391508,21564941,15924549,11047389,11047388,15924546,12165856,12165858,17286848,16338049,11367565,7552204,7552208,11367573,16338055,15921954,12156004,8186419,5255829,3212066,3212067,5255832,8186428,12156017,16342512,22500614,16326410,15151748,15151746,21093893,22518951,22016262,254580594,29883103,22528798,22528799,16356092,11382430,7562240,4781765,254182114,1672048,2881504,4781769,7560518,7560519,7562271,8229951,12199288,17324710,16343519,11371838,11361715,11361714,11376334,11376405,15745038,10904637,7301004,7301000,11026758,11375156,11375158,16347531,14485769,14485764,11370564,11364491,11364492,16334031,11374948,11358328,7546359,4772749,2876861,1669815,1669813,2876856,2877210,2877211,4773420,7547575,11033150,7307861,4773460,4773461,7363618,5261326,3216601,1884524,1884522,3216594,3227169,5272858,7549901,4774609,2877987,1670324,950397,950399,1670304,2877942,4774913,7550378,11362696,9966803,9966804,12171880,12143556,12143555,12171833,17292994,17287804,17287805,15156928,10452947,6890551,6890550,10452946,15156925,11368475,7552730,7552729,11368473,16330998,255061242,27239014,255342661,10028752,6590995,4129197,2470054,2470055,4129200,6591002,10028771,14574389,20308745,256237971,27238889,20308641,14574328,12915188,8785501,254892373,18209088,23134022,23089898,16835734,16835731,23089894,30504154,23133986,16873490,16873489,23133980,30552292,39150397,48832261,60227411,49080537,39150444,39150443,49080534,50045576,50045575,48830637,48830636,50045754,40025770,31345947,23852584,254550632,254550630,23852583,31345944,28851459,28851458,37391574,47300747,48374861,38473274,29914899,22557233,16489230,16489231,22689822,28230157,36723970,46611645,50226973,50226981,61707930,60226481,60226482,71868984,72690047,68015593,59951675,59037183,47635000,37712673,29152363,21843954,21843953,29152357,23826028,23826027,31315303,39992144,50010156,59036943,60225874,60226080,59036951,59036952,65746433,255950258,59765685,255949642,55285464,46704322,36821679,36821680,46704324,47635468,47635099,37712755,29152420,29152421,30887021,23455019,17177465,17177452,17177451,23454997,30886994,37712826,37712827,36956108,36956107,46834405,58200477,61525745,256450368,17510891,12347977,8342586,8342585,12347694,17510558,23853253,30321498,30321497,38908209,38907765,30321016,22920565,22920564,17510245,12347449,8342207,5384464,5384463,8342205,12347446,11650349,7762365,4916776,4916460,4916461,7761976,7762372,7761981,7761979,11649935,16686523,11648272,7760675,7760676,7761081,4915686,2963242,1718526,1718524,2963235,4915671,7761061,11472103,7630650,4827712,4827713,7630653,11472109,11647163,254171036,30319318,38906102,30321385,22920920,16687159,16687158,22659330,21010190,21010189,23852329,23799006,17466373,12313979,8317663,5367254,254087196,2963906,1718979,976840,549938,549939,976847,1718987,2963920,4916573,4827851,3670611,3670612,5879501,9006835,12396954,12396952,17568607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657416, s2 = 14044337, dlinesl.size( ) = 34 s1 = 1488718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6521899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13209881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13239625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13239625, s2 = 2199540, int(edited[s2]) = 0 s1 = 13239625, s2 = 2199540, d1 = 19, d2 = 21 Dl.O(d1) = 7408576,7408575,255456145 Dl.O(d2) = 59426792,259370489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239625, s2 = 2199540, dlinesl.size( ) = 2 s1 = 13239625, s2 = 2199540, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13239625, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 10204462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8154291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13197337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9089823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9403428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1491385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6604745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1652861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1160901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9115604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1161559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9670038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9670038, s2 = 10166007, int(edited[s2]) = 0 s1 = 9670038, s2 = 10166007, d1 = 28, d2 = 25 Dl.O(d1) = 261488010,257836772,256685884,10315185,6785445,6785444,10315162,6785426,4253711,4253710,4300483,2571161,2571163,4300490,5955061,5955063,6149764,3848167,2305792,1337991,1337992,2305786,3848155,6149741,9386869,12665073,12665074,17881237,20967005,15057260,15057259,10404144,10404145,10366765,10366764,10373844,10373845,15046756,269876580,257078836,255573102,29622172,29622171 Dl.O(d2) = 46823818,36945904,28446139,21220027,21220030,21220019,15251023,15251022,21220016,256307296,255668710,31169075,26327824,19600562,19600563,26327827,30405703,38995021,33330156,25570217,25570216,33330154,28445999,28446000,21220069,21220068,25163829,21220093,15251064,15251065,21220095,21219973,15250982,10521374,10521373,15250918,10521340,10521341,15250920,10521439,6938802,4360412,2612780,1508592,855437,254158365,2612772,4360393,6938771,10521386,10521424,10521425,15251073,267941502,23000524,255509955,11713473,7815120,4957750,4957751,7815121,11713475,16760664,254891116,28446223,36945996,46272279,36419692,27961555,20799623,14906195,14906194,20799620,254956238,30405722,254676122,16760668,23000548,23000490,16760619,11713449,11713448,11713431,11713430,11713456,16760632,23000505,27961592,20799666,14906221,14906222,20799669,25570227,25570226,20799331,14905957,14905958,254310820,23000543,16760666,16760667,23000545,30405651,24669369,256075869,24669330,25570225,18960521,18960519,25570222,255304588,18206397,255304534,10249028,14906193,12913265,12913261,12913262,18206392,24669340,32277189,27961245,20799351,20799350,27961244,36419346,36419741,46272327,48918888,38994990,38994989,41084607,41084606,41468355,32591325,24929683,24929685,32591330,41468362,46823706,257383096,46823743,36945814,36945815,46823745,255714750,41468358,36945810,28446036,21219935,15250960,15250957,21219924,28446020,36945793,46823716,48923001,48923003,60321535,63515199,51737387,48513635,38598855,38598856,47840418,59237562,59693294,48923008,38999121,38999124,48923011,50415667,48923031,48923033,41999142,33055707,33055706,41999139,52338335,256811664,10302544,14970311,254218424,10302794,254155184,11339455,11339456,16297675,11339508,11338075,11338074,16295803,22464135,26735491,20822464,20822463,20346821,14604010,14604007,15321805,20822883,14924896,10262964,6743962,6743960,7129046,10790488,15598156,19290303,25954590,24267489,17888679,12670944,8604867,5591674,3469067,2057085,2057084,3469065,5591671,8604863,12670933,13673394,11271371,11271370,16214377,11754298,11754299,16809114,23055646,257582629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9670038, s2 = 10166007, dlinesl.size( ) = 28 s1 = 13278427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1162126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1162678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1162678, s2 = 9696661, int(edited[s2]) = 0 s1 = 1162678, s2 = 9696661, d1 = 1, d2 = 2 Dl.O(d1) = 29643952 Dl.O(d2) = 39471318,46858592,36980028,28482907,21265795,255167284,10549853,6957758,254726081,6969753,6969752,10567019,15297711,15286370,15286371,15276366,10542621,6952794,6952796,10542628,6963487,4374892,4374895,6963496,10558038,10543719,8385673,5411278,3326399,1956256,1956258,3326401,5411281,6422290,4028966,4028967,5411273,254271519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1162678, s2 = 9696661, dlinesl.size( ) = 2 s1 = 1162678, s2 = 9696661, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1162678, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 13437881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1495517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8132409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8023851, s2 = 13258110, int(edited[s2]) = 0 s1 = 8023851, s2 = 13258110, d1 = 16, d2 = 5 Dl.O(d1) = 11247914,7466273,4718276,254530313,7466276,255087835,22328126,29679518,38244367 Dl.O(d2) = 35380653,29983615,22616476,22616477,25969825,25969826,32152264,24568789,24568788,27091494,27091493,20315963,14579682,10032329,8834314,8834317,12022973,8083150,5179123,5179125,3584792,3584791,5756652,8834274,12978024,18284825,19065119,23379422,17109455,12023298,12023297,17109452,21086768,21086767,28293760,22439782,16272056,11314676,11314677,7856201,4986242,4986240,7856117,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,254775919,16202028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8023851, s2 = 13258110, dlinesl.size( ) = 2 s1 = 8023851, s2 = 13258110, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8023851, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 8023861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13273587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13273587, s2 = 1827115, int(edited[s2]) = 0 s1 = 13273587, s2 = 1827115, d1 = 1, d2 = 1 Dl.O(d1) = 59380846,72113509,85699637,73972577,61194073,49715373,49715374,59380853,59380852,59551321,72285436,85699638,85699639,85877433,72285400,59551291,59551290,59551347,72285459,85877487,99647908,85877436,85877437,99831286,85877456,72285420,59551307,48164722,38255430,38255429,48164720,59551304,48164727,38255432,29690198,22337691,16190072,16190074,22337695,29690207,38255449,48164754,48164748,38255446,38255445,48164747,59548348,59548344,59548343,72282777,85875038,85877438,99831288,256400866,99599248,85649617,72062619,59328489,59328491,72062625,85649634,99599266,113614218,113614219,112634353,98637493,84707256,84707255,98637490,86483288,72888175,60152062,48757912,48757914,60152065,72888180,86483295,100440339,98637504,84707266,84707267,86483298,84356812,70798282,70798283,78271860,64998289,53023146,42582852,33565711,25776151,25776152,22894494,22894493,23363234,23363244,30292910,22894481,16664686,16664688,22894488,30292917,38878912,37845728,29278552,29278554,37845736,37845738,33056468,25327850,25327851,33056472,37845898,37845897,33056452,25328001,25328000,33056622,42000025,257027698,30658041,23236763,23236762,30658027,30658025,39254438,42000297,33056890,33056891,30790553,256481246,30788828,30788827,30788857,268427310,268245014,29278663,29278664,33056478,25327858,18748756,13348171,13348172,18748760,18748736,18748737,15863103,10994854,10994853,15863099,18749072,13348367,9121106,5968408,5968409,9121110,13348377,18749046,25328248,23236770,23236771,30658012,23236746,23236744,17843876,17843875,24214272,31721569,33056984,33056985,42000314,42000108,39391357,30788848,23363249,23363250,30788854,39391363,42000463,47768537,48801243,42000379,33056963,33056964,255532916,42000356,42000479,33057046,33057047,42000347,257187921,58081177,46709740,36827487,36827488,46709742,52339512,42000423,33057005,33056941,33056940,42000351,42000452,42000453,52339533,60579846,257608428,52339531,52339100,52339101,52339105,52339106,52339311,42000157,42000156,257777291,64189482,52339374,42000420,42000419,52339506,64189595,58081183,58081182,52339497,52339496,64189580,64189616,64189617,58080954,58080955,64189437,64189611,64189555,52339468,42000467,42000468,52339309,42000155,42000153,48685944,38764185,38764184,48685935,47651244,47651243,42000318,42000317,52339428,64189532,64189561,64189559,64189446,52339316,42000162,33056761,25328115,25328116,21120004,21120003,28331186,36827212,46709475,52339117,42000166,33056763,256633321,36827480,36827481,46709727,52339571,42000503,33057062,31807929,28331208,21120022,21120023,28331214,36827240,36827280,33056747,25328109,25328108,33056743,28331176,21119998,15172607,15172609,21120001,28331184,25328526,18749272,18749273,25328528,33056911,38764181,38764179,46709639,36827402,28331366,28331364,36827400,36827319,36827320,28331731,28331729,36827650,36827649,36827654,42000238,33057114,33057113,42000544,52339385,46709720,46709721,42000181,33056775,33056773,25328336,24292972,17910919,17910918,24292966,28331162,28331163,36827182,28331157,21119991,21119992,23825306,23825304,21120017,15172618,254720263,4329760,2590267,2590268,4329765,6897578,10464128,15172639,15172921,15172922,21120154,15172724,15172723,255809437,15172839,15172840,21120317,21120177,18748963,18748964,21120228,21120227,28331124,21119970,21119971,15172782,10464216,6897622,4329787,2590280,2590281,4329793,6897628,10464224,15172794,15172830,10464250,6897643,4329803,2590288,2590289,4329811,6897662,10464290,15172897,21120398,28331733,36827803,46710093,47767120,37844471,29277490,21953503,21953504,21953502,21953500,29277484,24284080,17903360,12683076,12683077,17903362,24284083,31798020,29277539,29277538,37844524,257492893,47767084,38244276,29679442,22328079,16182005,11247896,11247895,255465235,29679435,38244263,47026545,37138368,28625481,28625482,37138370,47026548,58398440,58398439,258675097,98606250,112601643,126470680,117223197,103107204,89036712,258311311,257116475,31977908,268268799,255232419,8871141,254433265,2151646,2151647,3604881,2151648,1244555,254110945,223319,212644,116297,63499,35415,19974,19970,35393,64086,65280,65277,66642,66639,122731,223236,399039,707157,1244349,2151418,267855395,8870457,13026843,255629683,32487257,41335138,257741309,76297923,259609159,88094118,257887388,50216656,50216657,258274187,52772733,42373725,33384794,25618906,19004712,13563379,9286363,9286364,13563382,19004714,18983771,13546689,13546688,9299469,9299468,13581475,19027488,25644891,33411839,42400863,258422793,91824683,106019740,271998559,272707637 Dl.O(d2) = 59380846,72113509,85699637,73972577,61194073,49715373,49715374,59380853,59380852,59551321,72285436,85699638,85699639,85877433,72285400,59551291,59551290,59551347,72285459,85877487,99647908,85877436,85877437,99831286,85877456,72285420,59551307,48164722,38255430,38255429,48164720,59551304,48164727,38255432,29690198,22337691,16190072,16190074,22337695,29690207,38255449,48164754,48164748,38255446,38255445,48164747,59548348,59548344,59548343,72282777,85875038,85877438,99831288,256400866,99599248,85649617,72062619,59328489,59328491,72062625,85649634,99599266,113614218,113614219,112634353,98637493,84707256,84707255,98637490,86483288,72888175,60152062,48757912,48757914,60152065,72888180,86483295,100440339,98637504,84707266,84707267,86483298,84356812,70798282,70798283,78271860,64998289,53023146,42582852,33565711,25776151,25776152,22894494,22894493,23363234,23363244,30292910,22894481,16664686,16664688,22894488,30292917,38878912,37845728,29278552,29278554,37845736,37845738,33056468,25327850,25327851,33056472,37845898,37845897,33056452,25328001,25328000,33056622,42000025,257027698,30658041,23236763,23236762,30658027,30658025,39254438,42000297,33056890,33056891,30790553,256481246,30788828,30788827,30788857,268427310,268245014,29278663,29278664,33056478,25327858,18748756,13348171,13348172,18748760,18748736,18748737,15863103,10994854,10994853,15863099,18749072,13348367,9121106,5968408,5968409,9121110,13348377,18749046,25328248,23236770,23236771,30658012,23236746,23236744,17843876,17843875,24214272,31721569,33056984,33056985,42000314,42000108,39391357,30788848,23363249,23363250,30788854,39391363,42000463,47768537,48801243,42000379,33056963,33056964,255532916,42000356,42000479,33057046,33057047,42000347,257187921,58081177,46709740,36827487,36827488,46709742,52339512,42000423,33057005,33056941,33056940,42000351,42000452,42000453,52339533,60579846,257608428,52339531,52339100,52339101,52339105,52339106,52339311,42000157,42000156,257777291,64189482,52339374,42000420,42000419,52339506,64189595,58081183,58081182,52339497,52339496,64189580,64189616,64189617,58080954,58080955,64189437,64189611,64189555,52339468,42000467,42000468,52339309,42000155,42000153,48685944,38764185,38764184,48685935,47651244,47651243,42000318,42000317,52339428,64189532,64189561,64189559,64189446,52339316,42000162,33056761,25328115,25328116,21120004,21120003,28331186,36827212,46709475,52339117,42000166,33056763,256633321,36827480,36827481,46709727,52339571,42000503,33057062,31807929,28331208,21120022,21120023,28331214,36827240,36827280,33056747,25328109,25328108,33056743,28331176,21119998,15172607,15172609,21120001,28331184,25328526,18749272,18749273,25328528,33056911,38764181,38764179,46709639,36827402,28331366,28331364,36827400,36827319,36827320,28331731,28331729,36827650,36827649,36827654,42000238,33057114,33057113,42000544,52339385,46709720,46709721,42000181,33056775,33056773,25328336,24292972,17910919,17910918,24292966,28331162,28331163,36827182,28331157,21119991,21119992,23825306,23825304,21120017,15172618,254720263,4329760,2590267,2590268,4329765,6897578,10464128,15172639,15172921,15172922,21120154,15172724,15172723,255809437,15172839,15172840,21120317,21120177,18748963,18748964,21120228,21120227,28331124,21119970,21119971,15172782,10464216,6897622,4329787,2590280,2590281,4329793,6897628,10464224,15172794,15172830,10464250,6897643,4329803,2590288,2590289,4329811,6897662,10464290,15172897,21120398,28331733,36827803,46710093,47767120,37844471,29277490,21953503,21953504,21953502,21953500,29277484,24284080,17903360,12683076,12683077,17903362,24284083,31798020,29277539,29277538,37844524,257492893,47767084,38244276,29679442,22328079,16182005,11247896,11247895,255465235,29679435,38244263,47026545,37138368,28625481,28625482,37138370,47026548,58398440,58398439,258675097,98606250,112601643,126470680,117223197,103107204,89036712,258311311,257116475,31977908,268268799,255232419,8871141,254433265,2151646,2151647,3604881,2151648,1244555,254110945,223319,212644,116297,63499,35415,19974,19970,35393,64086,65280,65277,66642,66639,122731,223236,399039,707157,1244349,2151418,267855395,8870457,13026843,255629683,32487257,41335138,257741309,76297923,259609159,88094118,257887388,50216656,50216657,258274187,52772733,42373725,33384794,25618906,19004712,13563379,9286363,9286364,13563382,19004714,18983771,13546689,13546688,9299469,9299468,13581475,19027488,25644891,33411839,42400863,258422793,91824683,106019740,271998559,272707637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13273587, s2 = 1827115, dlinesl.size( ) = 2 s1 = 13273587, s2 = 1827115, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13273587, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8244361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7960553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1165797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13386929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13386929, s2 = 8244407, int(edited[s2]) = 0 s1 = 13386929, s2 = 8244407, d1 = 19, d2 = 23 Dl.O(d1) = 58427853,48177920,38268373,29702232,29702231 Dl.O(d2) = 21351314,255031699,7012213,254499268,1527226,2643164,4408619,4408618,254731339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13386929, s2 = 8244407, dlinesl.size( ) = 2 s1 = 13386929, s2 = 8244407, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13386929, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 1166486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9421793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1852904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7838588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7838588, s2 = 7210636, int(edited[s2]) = 0 s1 = 7838588, s2 = 7210636, d1 = 50, d2 = 34 Dl.O(d1) = 268373842,18939532,13503664,13503663,14925812,14925811,15586560,10782367,7124377,7124379,7124450,7124451,10782473,7259745,7259746,10255532,10255536,14914905,20810696,254712518,25232192,18663348,13271569,13271570,18663352,15594797,15594796,16213321,16213320,22367504,28894837,254875836,254875834,14561279,255362210,10046441,10046440,14600449,20342770,22725357,16520103,11513163,10046174,10046173,14600059,19445646,13915128,9550453,9550454,13915134,10048851,10048849,14603784,10300701,10300702,11516692,7660908,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,4136469,6603026,6603107,10048488,7676911,7676908,254706028 Dl.O(d2) = 212685114,264050928,263339426,50069396,40050146,31369663,23874782,23874781,31369661,258262563 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9668932, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1499854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1499854, s2 = 14860272, int(edited[s2]) = 0 s1 = 1499854, s2 = 14860272, d1 = 47, d2 = 51 Dl.O(d1) = 38294155,29727213,22370512,22370511 Dl.O(d2) = 7513005,7513006,11315107,16272664,21249411,21249410,15296945,10561500,6965964,4376390,4376391,6965967,10561509,254589290,15266440,10533905,10533910,15266462,15259613,15259615,10568483,9942578,9942579,10544297,10544300,10544279,10544277,15278152,10568380,6970726,6970723,10553631,10553630,15267416,10534697,10534699,10559662,10559661,10559678,6964682,6962063,6962066,8114077,5198333,3171498,1856569,1059544,595781,332150,332148,595774,1059532,1856541,1856473,1856474,3171305,4366023,6947990,8276749,5340377,3282497,3282499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1499854, s2 = 14860272, dlinesl.size( ) = 24 s1 = 6516616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1167749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13430457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8113466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8113466, s2 = 10350686, int(edited[s2]) = 0 s1 = 8113466, s2 = 10350686, d1 = 34, d2 = 36 Dl.O(d1) = 66970820,80401248,94460882,108754208,123023325,108754206,98993665,257401350,49898972,49898973,47002914,37117063,34005654,26163906,19463480,254659382,9560621,13929091,255277356,30914347,29232948,23477502,17195074,17195075,23477504,30914330,28502822,21284591,15320918,10582059,6980897,4386287,4386288,6980899,8230812,10582066,15320932,20878049,28045946,36509671,46367927,258328812,24001898,17657325,17657323,12486676,8457456,8457457,12486590,255577333,31500602,40185742,50207925,55445943,257689470,59392171,268340670,40185005,40184596,31499613,24001643,255188193,12486350,17657161,17657648,24002441,31500741,40184163,31499248,31499249,40184164,50206747,53084771,52361626,42023107,33079116,25348397,25348398,31787195,40481945,46820385,36942428,36942429,46820388,52360826,42022063,42022062,52360824,255220164,51965221,63780865,67790049,67790050,61690254,50208551,40186608,31501405,31498689,24001058,24001059,24306137,24306139,31822778,35217111,35217110,35217109,40055130,40055131,38620689,30046969,30046968,34085793,34085792,30046959,22671622,16475607,11479335,11479334,16475606,256427085,257033194,31387452,39466572,268428725,17156625,267991190,16650953,13511823,9245295,6055136,3789053,2270050,1316667,254205447,3789055,6055139,8277708,8277707,12256815,8368484,8368483,12384141,17554631,17574833,255392930,8281601,8281600,12263179,17401318,12297599,12297600,17445841,22117707,268631517,34250476,43350502,53875670,53875910,53875909,55399131,44552544,254840602,14485494,20188894,27086943,31350674,23856650,17513365,12349806,8343837,5385463,5385462,254397652,16312585,12431704,12431703,17612384,16318159,16316216,16316215,16310230,11348026,11348027,16310235,21297483,15330114,10588006,10588005,15330110,21297476,21296950,16309644,16309645,22480874,16316412,16316413,16317640,16322188,11355543,11355544,12118651,10588326,10588328,15330686,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,8153330,5224302,5224303,7431374,4695953,4695954,7431379,7543347,4771237,2876126,1669488,1669490,2876140,4771257,7543387,11352938,11352937,16318085,22491355,16769411,16769400,11723412,11723413,254389112,15330353,10588138,6984586,6984587,10588141,15157563,10453344,6890769,6890770,10453347,7541209,7541208,11347729,11347728,16309761,17083200,17083201,22480876,22480877,22478205,16307492,16307493,22478211,16737116,11693462,11693459,16307477,11346295,11346296,16307482,22478190,29844651,38414887,31128808,23641406,23543739,23543738,22023984,22023985,17236058,17236059,14434654,9929293,6525598,6525600,9929296,11284273,254521058,2853257,254238692,11284272,16231750,22390874,29750718 Dl.O(d2) = 270843754,272823937,259274488,70750781,257820208,28282678,21077504,259274487,260495411,139347759,263076839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8113466, s2 = 10350686, dlinesl.size( ) = 12 s1 = 9479422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9145972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1328014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8195084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13302697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9714608, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 877469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 877469, s2 = 16333336, int(edited[s2]) = 0 s1 = 877469, s2 = 16333336, d1 = 29, d2 = 67 Dl.O(d1) = 22421633,29786477 Dl.O(d2) = 266402900,234602927,233525907,232340708,231029712,229568269,227923698,265681580,227923697,265345116,218538705,218538704,215103946,215103947,264937454,264439652,199653523,192356117,263055644,163357375,151473604,138772161,125443377,111640969,97720249,83861557,70336404,57645978,256807086,255783394,20825018,14926813,14926814,17334250,12208841,8335927,8335925,7451239,4707896,2836118,2836121,4707854,7451145,11229255,16162154,22308986,25678180,25678179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 877469, s2 = 16333336, dlinesl.size( ) = 2 s1 = 877469, s2 = 16333336, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 877469, Dl.E( ) = 68, 3.79e-05 seconds used appending s1 = 1503048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9129039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9129039, s2 = 10353358, int(edited[s2]) = 0 s1 = 9129039, s2 = 10353358, d1 = 9, d2 = 10 Dl.O(d1) = 5592703,5592704,8606364,6976351,4382832,4382831,6894809,6981336,4386551,4386550,6981334,10582809,15322102,21286295,268610429,36988202,42881651,53345922,64333148,53345923,53345924,64333147,257662249,40156104,257079241,256640787,25417376,18825906,13413073,13413074,18825909,15941866,11062403,11062404,256377793,36991268,46869982,256951721,257531979,29796585,22430226,255093477,7507179,255472513,29796580,37095716,28589282,21358084,21358083,21358085,256318837,37095718,34314806 Dl.O(d2) = 256191275,26436262,256711361,53942242,257804293,52760224,260088133,87203825,257487950,49429990,49429988,257487948,87203823,101204632,101204626,101204625,114377656,100353559,86396448,72800364,72800363,72800365,269356351,256435533,22771819,16557531,11541061,7678122,7678121,269101788,16557524,11541058,11541059,16557527,22771811,30160172,268958135,60061634,72800350,260634029,127954033,141313771,262715614,165756402,176417886,261360824,259579020,94451025,257130140,54701793,43957703,34682613,26688412,19869310,14235731,256393407,22245635,16108588,16108589,255897007,29594272,38160641,258125403,59464411,258748767,85796481,259991875,127633079,113764745,99750480,99750481,113764746,127633080,140981960,262215300,261149834,259484964,258238084,47795543,59195942,71935689,85523687,91663240,77735129,77735130,64552662,259039451,270585404,65267225,53278085,53278084,53278133,53278134,65267241,71923874,61544492,61544491,257317144,39284974,30687971,30687970,39284971,49211343,60611838,73356730,74117699,61335479,60163712,48769330,38849419,38849420,48769332,256074570,42672826,259697623,260907419,147902420,140229775,126881708,113028644,99039932,257666672,58814646,268926983,28976195,37519835,256888627,28975894,21693272,15652874,255420307,10834089,7161700,7161702,255049041,21693022,28975605,37519427,29514157,29514156,29514169,22172637,16048441,16048440,22172635,29514164,38078716,47991480,40308103,40308104,50334121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9129039, s2 = 10353358, dlinesl.size( ) = 2 s1 = 9129039, s2 = 10353358, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9129039, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 7589356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7589356, s2 = 1505446, int(edited[s2]) = 0 s1 = 7589356, s2 = 1505446, d1 = 35, d2 = 56 Dl.O(d1) = 268639718 Dl.O(d2) = 38397271,38397270,29824905 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1172576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6657942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6657942, s2 = 16298224, int(edited[s2]) = 0 s1 = 6657942, s2 = 16298224, d1 = 49, d2 = 33 Dl.O(d1) = 257022554,29827769,22460462,16292626,11335651,11335650,16292625,16587722,20059647,14375048,9881056,6491818,6491816,254341029,1578876,1578877,2724744,4532805,4532932,2724853,2724856,4500230,4070295,2435606,1408529,1408528,2435603,4070290,2886202,1675101,953064,537415,537414,953062,1675097,2886197,4788349,7571381,11395353,9896028,9896030,9889067,6548798,4102670,2454091,2454090,4074873,4074875,6502899,9895446,9888414,6926078,4351010,2605782,2605781,4351007,6926069,9889889,6498555,6498556,6548745,4102641,2454076,1418646,1418647,2454078,4102649,6548758,6535270,6535269,9943339,7197705,7197706,9867690,6482080,4061901,4061902,4533949,2725443,2725444,1579232,1579234,2725483,2434191,1407781,1407780,2434186,4067952,6492223,9881614,9865126,6480248,6480250,9865128,254424074,26927838,24876267,18378420,13052798,8895454,254092812,2161352,2161350,2160574,1346082,1346087,1737761,1282538,1282534,2208991,3689804,5901974,5901975 Dl.O(d2) = 7229557,4556446,4556445,7226480,7232450,7227868,4554938,2738417,1586723,901991,901993,1586718,1585249,1585247,2735915,2739408,2740590,1588163,902827,902826,1585943,2737113,4553069,4554851,2738357,2738355,1588141,902815,902814,1586655,1586656,1588030,2740404,1588038,1588036,2740419,4557721,254751603,7225984,7225985,10924181,254751679,4558302,4558303,7224958,254750873,254513577,2740874,1588335,1588334,254343001,7224957,7225423,4554851,2738357,2738355,1588141,902815,902814,1586655,1586656,1588030,2740404,1588038,1588036,2740418,2740799,2736674,1585693,1585694,2736682,4552449,2736700,1585702,1585703,2736705,1587937,902713,902714,1587940,2736549,1585627,1585628,2736552,4552288,7224560,7230894,10926430,7227748,7227732,7222655,4550774,2735511,2735510,1588437,1588436,2741039,4558534,7232060,7232011,4558494,2741010,1588426,1588428,1717544,975973,975976,1586018,2737193,4553165,7201747,10890111,10921997,15769549,21839114,29147036,257480509,71773916,85363411,99308211,113311748,127171565,140518269,153201260,165020476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6657942, s2 = 16298224, dlinesl.size( ) = 2 s1 = 6657942, s2 = 16298224, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6657942, Dl.E( ) = 52, 1.5e-05 seconds used appending s1 = 10154513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154513, s2 = 11834250, int(edited[s2]) = 0 s1 = 10154513, s2 = 11834250, d1 = 0, d2 = 0 Dl.O(d1) = 11353229,11281147,11281148,16227836,11346240,7539698,7539697,11346234,7543442,7543443,10587964,6984493,4388700,4388701,6984499,6984508,10587947,15328645,15328648,15328719,21295567,28516667,29354865,28516655,28516658,22478457,16307701,16307700,21081768,15143049,15143051,21081775,28287859,22490619,16317503,16317501,18933733,21079958,28285889,23570517,17259337,254105084,22514237,22514238,29872582,30374268,38596281,267828644,38414647,38421759,254347828,17256860,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,16458988,22650385,16736703,11693155,11693156,15922556,15922557,17258977,15918574,11040539,11040540,15918577,11468295,7628327,4826375,4826374,7310250,11035696,15914283,22015870,22507512,254521308,254234120,11382983,11380119,11380120,16353409,16355807,11382187,9928741,6525275,6525279,9928746,14433878,12414517,8390775,5414657,3328518,1957522,1957521,3328516,5414649,8390757,12414481,255070222,11051425,11051424,15928161,22029271,20127388,14435446,14435445,254265200,7562088,7562089,11382195,16340350,11369401,11369400,16340446,17321481,22390416,16231308,16231307,12211330,11283903,11283900,11287398,11287403,12146364,11287374,11287336,8224375,8224376,12167092,8198583,5268912,5268911,8198581,12167088,17288165,17514361,254397608,11383455,16357493,22530091,29884497,38320939,38320938,35103316,27017594,27017593,23767369,20081950,15546214,15546213,21568436,17890932,17890931,15546280,10752086,7103583,4472382,2686996,2686995,254370664,9502205,7545262,4772167,4772166,7545258,11356551,16318995,16318996,16323565,16331128,22497639,21295309,15328530,15328531,17071514,11982932,8031890,5121183,3111250,1818086,1818087,3111252,5121186,8031895,11982939,17071525,21988195,21988194,22488620,29853907,38421383 Dl.O(d2) = 11353229,11281147,11281148,16227836,11346240,7539698,7539697,11346234,7543442,7543443,10587964,6984493,4388700,4388701,6984499,6984508,10587947,15328645,15328648,15328719,21295567,28516667,29354865,28516655,28516658,22478457,16307701,16307700,21081768,15143049,15143051,21081775,28287859,22490619,16317503,16317501,18933733,21079958,28285889,23570517,17259337,254105084,22514237,22514238,29872582,30374268,38596281,267828644,38414647,38421759,254347828,17256860,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,16458988,22650385,16736703,11693155,11693156,15922556,15922557,17258977,15918574,11040539,11040540,15918577,11468295,7628327,4826375,4826374,7310250,11035696,15914283,22015870,22507512,254521308,254234120,11382983,11380119,11380120,16353409,16355807,11382187,9928741,6525275,6525279,9928746,14433878,12414517,8390775,5414657,3328518,1957522,1957521,3328516,5414649,8390757,12414481,255070222,11051425,11051424,15928161,22029271,20127388,14435446,14435445,254265200,7562088,7562089,11382195,16340350,11369401,11369400,16340446,17321481,22390416,16231308,16231307,12211330,11283903,11283900,11287398,11287403,12146364,11287374,11287336,8224375,8224376,12167092,8198583,5268912,5268911,8198581,12167088,17288165,17514361,254397608,11383455,16357493,22530091,29884497,38320939,38320938,35103316,27017594,27017593,23767369,20081950,15546214,15546213,21568436,17890932,17890931,15546280,10752086,7103583,4472382,2686996,2686995,254370664,9502205,7545262,4772167,4772166,7545258,11356551,16318995,16318996,16323565,16331128,22497639,21295309,15328530,15328531,17071514,11982932,8031890,5121183,3111250,1818086,1818087,3111252,5121186,8031895,11982939,17071525,21988195,21988194,22488620,29853907,38421383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10154513, s2 = 11834250, dlinesl.size( ) = 2 s1 = 10154513, s2 = 11834250, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10154513, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1174174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7892772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8036280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8036280, s2 = 14217127, int(edited[s2]) = 0 s1 = 8036280, s2 = 14217127, d1 = 22, d2 = 26 Dl.O(d1) = 255084963,11220088,7445586,7445587,11221456,11218554,7443772,7443722,7443724,9738750,11218543,11218542,12042198,11220011,7444642,7444641,7444622,4703779,4703777,4704128,2833846,2833843,4704119,7445272,11219816,16149787,16150256,11220179,7444754,7444753,7445507,11220731,9738769,6404029,6404031,9738774,14165723,255314260,15446591,16151235,16150485,16150486,16152160,11221635,11221634,16152158,16152626,255462473,13805345,13805344,17873182,17873183,16152295,11221738,11221737,16152292,22297459,29648440,22296419,16151241,16151240,22296418,27188764,254356786,10003676,6574040,4118048,2463144,2463143,4118044,6574025,10003647,10003756,14186754,9752505,6412386,6412385,9752501,6574169,4118111,4118109,6574161,9448560,6194479,3877102,3877101,2463161,2463158,4118076,6574091,10003775,10003854,14539939,20265219,25941502,27189300,20265397,20265396,22533412,22295689,22295688,19278296,14540001,14540000,19279014,13781406,13781405,14540078,10003948,10003947,14540077,13781446,13781447,19279078,25942405,27095453,27095454,29887793 Dl.O(d2) = 272216885,262559916,260969994,113793436,99779201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8036280, s2 = 14217127, dlinesl.size( ) = 26 s1 = 1508105, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8133286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8133286, s2 = 2977134, int(edited[s2]) = 0 s1 = 8133286, s2 = 2977134, d1 = 128, d2 = 118 Dl.O(d1) = 256053243,17953242,12722356,8644819,5622532,5622531,8644813,8644812,12722347,17953225,24344199,22543213,16367764,16367766,19517176,16368056,16368055,11390968,7568100,7568099,4785723,2884155,1673671,1673670,2884152,4785718,7568097,11390965,16368071,22543187,16367743,255476959,29898616,258146133,86073914,260013295,127943929,262729165,176409933,176409932,180672633,170539393,170539394,180672634,261737726,262729158,185847292,185847291,263911456,194077041,262729152,185847321,189572048,189572049,194077036,262729154,194077023,201128248,207069341,264512094,264997612,273722400,273356655,165747701,153974674,153974676,273129267,185847322,194077004,263911456,194077041,273356655,165747701,153974674,153974676,262729163,185847324,263911459,263557552,185847255,194076958,201128196,207069294,264512102,207069321,207069320,211971699,211971682,207069326,201128234,194077011,273722407,207069324,273722402,207069374,211971753,263557548,209299152,203822416,197262268,197262269,262729160,213791771,213791763,209299145,203822410,197262264,189572047,189572046,197262260,203822404,209299136,213791756,215976974,211971651,211971652,215976992,219294096,264997611,264767313,273994576,194077008,194077007,263165413,165747705,165747704,176409890,176409891,263557545,201128182,207069276,209299153,203822416,203822417,207069355,211971730,264227974,211971744,207069363,207069362,211971728,207069345,207069344,274102217,263911452,211971627,215976964,215977011,211971672,207069394,201128285,194077058,185847335,176409946,165747710,153974679,141303733,127943928,127943929,262729165,176409933,262252086,263165406,263911454,264227966,215977073,215977059,211971732,264227972,185847312,185847313,273722409,201128264,207069370,211971750,264512096,211971646,207069260,207069259,211971645,211971759,215977086,219294154,219294129,215977043,215977041,219294125,264767316,222095858,219294149,219294148,264512100,207069385,273994581,274195939,219294098,264997608,207069266,201128174,201128175,207069267,211971655,215976993,264997615,211971685,211971683,215977025,219294118,222095848,223168165,220553075,263557546,209299151,203822415,203822417,207069354,263557550,215977064,211971734,264227968,215977039,211971697,207069381,207069380,211971759,215977086,219294154,219294129,215977043,215977041,219294125,222095850,265568815,215977095,211971768,211971767,215977094,219294159,222095860,222095840,219294102,215976999,215976997,219294106,219294110,265206625,211971689,264227971,201128217,207069313,211971691,215977032,264997616,274308595,217478235,219294108,264512098,211971758,207069379,201128268,262729156,185847317,194077035,201128266,207069374,211971753,263557548,213791770,213791767,213791766,217478235,219294108,264512098,211971758,211971757,274195937,265395978 Dl.O(d2) = 77411021,259024273,64261301,257193081,42062333,257782605,64261300,64261299,77411021,259024273,64261301,257193081,42062333,257782605,64261300,64261299,77411020,270511273,103426381,89333540,258948340,62635835,51012123,40876434,32104066,24528000,18096109,12830354,12830355,18096110,24528002,29010127,21723459,21723458,24206193,31713865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8133286, s2 = 2977134, dlinesl.size( ) = 2 s1 = 8133286, s2 = 2977134, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8133286, Dl.E( ) = 130, 3.89e-05 seconds used appending s1 = 1508631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1508747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1508747, s2 = 15466100, int(edited[s2]) = 0 s1 = 1508747, s2 = 15466100, d1 = 10, d2 = 20 Dl.O(d1) = 38459822 Dl.O(d2) = 263544867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1508747, s2 = 15466100, dlinesl.size( ) = 28 s1 = 16287000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16287000, s2 = 1508844, int(edited[s2]) = 0 s1 = 16287000, s2 = 1508844, d1 = 63, d2 = 54 Dl.O(d1) = 48705651,256509914,255166576,8380622,7410210,7410214,7901658,5022784,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376193,6060928,6943449,6943448,4368106,2617200,1511166,1511165,2617193,4368084,4376013,3797302,3797303,6069170,4370304,4370303,6067921,6067923,4526549,4526548,6957062,4371146,2618699,2618695,4371128,6952779,8116558,10553938,255025523,9258772,6064050,3794127,3794128,3797030,6068685,9265233,13535436,15662659,10842525,7167748,5577012,5577013,7299627,11025296,15903625 Dl.O(d2) = 38462008,29904796,22548740,16372452,255477341,29904794,38462004,41284280,32444932,24810275,18321540,18321541,24810280,32444944,41284291,48704635,48704634,38782322,30197818,30197817,38782321,38461874,38461873,48363573,38461871,255917567,16372393,16372394,13005296,8854219,5770866,5770865,8854218,13005295,18321461,24810184,24289037,17907512,12686331,8617292,8617293,12686334,17907523,16886443,11815501,11815500,255518955,30563944,39161390,49091077,60494310,49091047,39161361,30563920,23146809,23146808,30563917,31264463,23779146,17449055,12300073,12300072,17449053,23779139,24810219,32444878,41284212,48363663,38462006,38462007,48363664,55332294,257312617,35109129,27023024,20131247,14438395,14438396,20131249,27023025,35109130,44486196,55332295,67671831,81137829,95195047,109449906,98830705,84904557,71332006,58599757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16287000, s2 = 1508844, dlinesl.size( ) = 2 s1 = 16287000, s2 = 1508844, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16287000, Dl.E( ) = 70, 1.79e-05 seconds used appending s1 = 1957593, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 305188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 305188, s2 = 11656741, int(edited[s2]) = 0 s1 = 305188, s2 = 11656741, d1 = 7, d2 = 2 Dl.O(d1) = 7573285,7573286,268617548 Dl.O(d2) = 59753213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 305188, s2 = 11656741, dlinesl.size( ) = 2 s1 = 305188, s2 = 11656741, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 305188, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 8474217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1510232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13628851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7895394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1335732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1177511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10171483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10171483, s2 = 14069987, int(edited[s2]) = 0 s1 = 10171483, s2 = 14069987, d1 = 45, d2 = 47 Dl.O(d1) = 22218510,16086769,16086770,21500545,28760016,37293761,42788373,33757432,25949512,19285280,13786537,13786538,19285282,19285275,19285276,25949492,19285264,19285265,25949494,29943277,22580124,16397521,16397522,22580126,19285306,13786546,9452552,6197210,3878707,3878706,6197208,254943503,19285297,25949540,33757463,33757456,25949534,25949535,33757458,42788387,33757448,25949524,19285288,19285268,13786531,9452544,9452543,13786528,19285263,25949490,33757402,33757403,25949530,19285292,19285291,25949528,28377482,21160163,21160165,28377486,36874278,39029961,39029960,48951702,52243871,256276624,25245227,25245226,23034197,16790553,11740065,11740066,16790555,23034201,30441054,257001007,33757406,33557174,33557175,42574071,53014393,48951705,257581291,53239558,46753486,39029970,30441050,30441049,39029968,48951704,39029965,39029964,48951703,42788306,42788305,42788389,33757450,25949525,25949526,23034192,23034193,23034190,16790568,254814970,7838287,11740071,16790566,21164717,28382233,33757407,42788340,42713954,42713953,268619486,28382232,36878484,46757168,257119073,40768887,50884578,256272170,33757388,25949482,19285258,13786525,13786524,19285256,25949474,33757378,42788308,53211450,42761678,42761676,42446025,33452940,25681517,19058608,19058609,25681504,19779490,16790574,14167525,14167526,19779447,19779461,26583039,34569961,257283827,66845331,62425333,62425334,50841598,40735640,31986809,24431749,24431748,22118460,22118461,29452289,24431747,24431746,268303853,19121206,25760155,24431742,18018427,12909555,12909554 Dl.O(d2) = 19953514,19953519,19955005,14289169,9832495,6458839,4048007,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261378,14261374,19909545,26751257,34782187,44112326,54923906,258964844,51395642,41202857,41202858,255724914,34344337,43462372,54015354,51395521,51395520,51287405,51287407,51395719,41202906,32382697,24762494,24762495,32382698,41202908,51395722,46447130,36581662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10171483, s2 = 14069987, dlinesl.size( ) = 2 s1 = 10171483, s2 = 14069987, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10171483, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 6517630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7635920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7635920, s2 = 7887576, int(edited[s2]) = 0 s1 = 7635920, s2 = 7887576, d1 = 54, d2 = 61 Dl.O(d1) = 270333516 Dl.O(d2) = 255100521,4800531,4800532,7589264,11418255,11418254,11418076,7615521,7615520,254553002,4306667,6862226,8145100,254722645,4349902,2605165,1503417,852256,852253,1503406,2605140,4349858,6924126,10500722,256552639,24251823,254875358,17886623,22328253,16182158,11248046,7466377,4718346,268065426,16182160,22328258,29679631,35269723,37543933,28998616,21713713,21713712,24672447,28998740,28998701,21713775,21713776,28378920,36875687,39099183,30503342,23214821,16942818,11857854,11857853,16942815,12675476,8608081,8608080,9328137,9328136,13622729,19081144,15204628,15204626,21160962,28378372,36875223,37543911,28998602,21713692,21713691,28998600,37543909,46754696,36875551,29252394,28378954,28378952,25858047,22699039,16495920,11493178,11493177,16495917,13896048,12914818,12914817,18208507,24672270,29685099,22333132,22333134,21024742,21024743,254717046,17170059,17170061,12072853,8118353,8118354,10469096,6901615,6901616,10469103,15178804,15178810,15178809,15336905,15175077,14576418,10030206,6591911,4129737,2470345,1427873,1427877,2470357,4129756,6591949,10030295,14576451,14576452,20311409,21036073,17170245,12072836,8118344,8118343,6871024,6871023,5200920,5200919,8118319,12072796,13072274,18403951,24908434,23445074,17170135,12072762,8118298,8118297,12072757,15179045,21024798,21308145,21035644,15109320,15109319,20311460,14576498,14576499,20311463,21127573,254328170,10469317,10469316,10400118,6855728,4302541,2572483,2572485,4302550,6855740,10400138,14928789,10265766,6745705,6745707,10265771,10593565,10593566,15177418,10467641,6900205,6900207,10467652,6903268,4335222,4335224,6903274,10470425,6988783,4391705,2631430,2631431,4391757,6988601,10468230,6900780,6900781,267822938,15174960,254157348,6898620,4333673,2593693,1495996,847704,478708,478709,847708,848070,848071,1496656,2594705,4334927,6903001,4335591,2595304,1497045,848296,479009,479010,848302,1497055,2592508,2592509,2593121,1495639,1495638,2586513,2594911,2594912,2594577,2594576,4332345,2592649,1495332,847321,478527,269337,269339,478539,847343,1495306,2592602,2594059,4332313,2593684,2593685,2631181,2594675,1496631,848056,848054,254118580,4329154,4329156,254118452,254084488,2596091,2596090,4226703,2527257,1456516,1456515,2527254,1518844,861155,486087,273386,273387,486088,861159,1518853,2630421,4390302,4389951,2630163,2630164,4335826,2595476,2595475,4335824,6903886,254077588,1600238,909788,513180,287784,254163415,2760410,259968727,258225767,257284044,255153441,8127821,5207185,5207186,8127822,12086420,17188860,23469378,256211562,49443151,60844956,52362472,42024270,33080239,25349210,25349209,33080237,33078835,33078836,33827221,33827222,42868308,41651811,41651812,48361845,38460350,38460349,38762314,38762313,48683987,256601066,37060257,28559353,26896937,20015226,14334883,14334881,17077847,17077655,11990997,8043298,5133851,5133852,8043304,11991015,17077686,23343808,23344521,23344982,23344983,26584859,26578545,26578544,29786812,22422092,254776032,31646248,24139675,24139679,30767088,30767085,26579355,23451391,23344055,17077854,17077851,17077991,22447908,19773787,14163530,14163531,19773788,19776739,19774376,14163875,14163876,19774382,26576846,26576919,24848635,24848634,19780945,19780944,26585015,23346153,17079389,11992001,11992000,8044084,5134250,3121565,1824471,1041418,1041415,1824460,1824433,1041405,1041404,1824430,3121486,5134103,8043822,8043886,11992035,17079455,19775327,19775328,14164490,14164488,19775338,26578075,26584859,26578545,26578544,29786812,22422092,22422091,19780828,14168480,14164102,9737820,9737819,14164101,254778448,30769192,23346153,17079389,11992001,11992000,8044084,5134250,5134254,8044094,11992278,17079838,19781078,26585170,30769095,30768885,23345765,23345764,30768882,30881470,23450168,17173703,17079644,11992150,8043955,8043958,11992159,17079613,17079615,23343745,17077636,14165333,14165334,17724049,17077825,11991096,8043352,5133880,3121366,1824365,1041379,1041382,1824377,3121391,5133930,8043452,11991265,17078108,23344408,22705085,16501160,16501161,22705086,23343093,30766299,39367882,43836243,49854218,39830961,255127694,17344918,17344920,23661926,23347762,17080628,17080627,23344981,17078548,11991502,8043586,8043587,11991504,17078552,23344988,26585479,34572428,43844047,39368747,39368746,49296124,254564016,48337095,54581079,43836001,34563290,34563291,268216146,30769756,268015876,24848603,29534261,30769787,23346804,23346805,19775201,19775199,19775289,19775691,19775690,26578462,26585337,26579310,26579312,26577743,26577741,30769360,34565605,34565604,34563543,26629403,26629402,26578168,19775424,19775425,19780731,19780730,26584759,30770806,23347672,17080561,11992716,11992715,17080559,23347670,19818071,19818073,26629400,30767422,23347782,23347781,255467320,26577982,26577980,30767658,23344497,23344499,19776101,17080322,11992584,11991039,11991037,17077724,17174700,23451404,30882813,255467418,59572304,72306265,61336944,49854188,39830927,31148775,23661889,17344887,12218318,8248644,5320602,5320601,8248641,12218309,17344869,23661857,23451627,23451626,30883058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7635920, s2 = 7887576, dlinesl.size( ) = 62 s1 = 1511270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1511270, s2 = 8411638, int(edited[s2]) = 0 s1 = 1511270, s2 = 8411638, d1 = 27, d2 = 33 Dl.O(d1) = 38515582,29951097,29951096 Dl.O(d2) = 21400015,257441989,255972076,74824058,88457436,102461311,258829130,143726505,156253220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1511270, s2 = 8411638, dlinesl.size( ) = 2 s1 = 1511270, s2 = 8411638, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1511270, Dl.E( ) = 34, 9.06e-06 seconds used appending s1 = 1178345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1178345, s2 = 14182873, int(edited[s2]) = 0 s1 = 1178345, s2 = 14182873, d1 = 0, d2 = 55 Dl.O(d1) = 29953884 Dl.O(d2) = 100111754,100111756,86145701,72547276,72547275,86145700,74770300,61973003,50480296,40443866,31749318,26923751,20038497,14354102,11969386,11969387,254793700,30748833,30106696,22725636,16520451,16520452,22725637,30106697,29832876,29832877,27259348,22852198,16627212,11597990,11597989,16627207,14925802,14925803,14932369,14932368,20830710,22730053,25277216,18704701,254112510,5948396,3719920,254073044,1291909,2227484,3719910,5948378,4238923,4238926,6763816,4846749,4846750,7660460,11515988,16523902,16211973,11269602,11269603,16211975,254640664,5938337,5938338,9079869,13298091,18691247,25262678,28220246,25264951,18693501,13300505,13300506,15588929,15588928,21619114,17054562,17054561,23319047,24267415,17888599,17888388,12670721,8604729,8604728,12670720,14959101,256272659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1178345, s2 = 14182873, dlinesl.size( ) = 24 s1 = 9083159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9083159, s2 = 3389635, int(edited[s2]) = 0 s1 = 9083159, s2 = 3389635, d1 = 1, d2 = 1 Dl.O(d1) = 135920019,121993721,107620244,93217427,79101032,65745155,53688407,43177512,34093356,26231268,19515364,13969366,9592313,9592314,9705174,9495514,9495513,13842768,16151830,16151832,16881760,11811319,9399117,6254742,6254739,5598585,5598586,6297488,9592465,13969539,13846405,13846406,14048538,9660036,6352370,6352372,9660040,14048543,19605951,14108916,14108915,14048603,13773775,9442938,6190343,6190342,9442935,9555893,13922378,13842004,13842005,19228546,17369339,17369341,19826282,14202276,9763048,9763050,9762903,9762904,14202100,13602267,13602265,19054033,17201099,17201100,23484718,19454547,13922084,13922083,17201125,19389761,19389760,19605754,14048349,9659898,6352268,3985777,2388904,2388903,3985774,6352238,6352240,6352378,6352376,6325183,3965784,3965782,6325175,9626738,14009240,19560322,19826227,19826226,19669534,19606703,255715083,19826483,19826482,19177500,14048110,14048111,19605501,26333925,33543291,25829711,19177527,19177528,25829714,19669479,19669444,14099774,9697838,9697837,14099773,14049093,14049094,13738432,13738433,9697648,6378225,4001810,2398139,1387731,1387735,2398148,4001824,6378250,9697689,14099621,9698272,6378610,6378608,9698266,14100267,19669891,19605533,19605532,26333949,34207990,43306513,43054172,33995313,26153635,19454595,13922131,9555712,9555711,13922130,14202976,19227043,13735137,13735141,19227048,19826742,26403987,26334839,268504591,19227151,14202846,14202847,19669742,14100108,9698128,9698131,13720574,9398542,6157607,6157606,6378496,4001951,4001950,3852961,2308383,2308381,3852869,3852866,6157560,6419201,6419200,9763184,13720941,9398818,9398816,13720907,19209264,19229568,19229567,13737900,13737902,19230241,25889796,33695788,26638497,255315013,14202591,19285611,19285612,25949886,31683763,24175467,17807508,12606363,12606364,11551662,7685804,7685805,11551664,16570570,16573985,16573984,11562864,7695602,4870265,4870261,7695594,11422720,7727457,4891313,2947590,1709471,1709472,2947593,4891322,7727474,11556343,14767743,10156166,7731116,7731115,11611302,16434883,11549337,7683844,4861858,4861856,3520632,3520631,3520636,5660912,3742757,3742758,267816228,9118788,9118787,7601103,4808533,4808534,7601105,7748410,4907071,2957685,1715000,1715001,2957692,4810114,2899001,2899000,4810108,2899252,2899253,4810558,4810854,254539111,11436604,11617165,16581843,16431428,11446526,7612421,4820739,2905053,2905054,4820742,267979269,16433686,16433685,16440843,11454966,11454965,16440841,16397358,11413857,7585179,7585180,11413859,9110240,9110241,11765204,11765205,16410009,16410010,22593163,29957589,38522642,48430346,59816200,72551336,86149512,100115382,114148921,128037993,118341146,259606881,76246844,63232016,51518944,41301421,41301420,257739429,76246841,90055158,104184347,118341145,132155820,145384921,157785605,169217820,260256696,152228015,139497314,126123069,112264400,98282750,84373414,70814358,58097129,46725081,36842158,36842159,29817568,29817567,38390203,30363069,30363068,38949144,38238038,29672795,29672796,29806711,29672791,29672792,255387852,33553029,34674797,43949435,54693064,66951694,80381004,94439403,108731432,122257037,122998900,122998899,259806668,136828484,136828482,136828483,139592663,126218732,112359383,98377898,84469251,70913403,58200871,46834831,46834830,58200870,70913404,84469253,98377900,112359386,126218735,139592667,152321039,164203232,175017777,184617433,192999941,200190905,205147900,198840829,191393314,182738954 Dl.O(d2) = 135920019,121993721,107620244,93217427,79101032,65745155,53688407,43177512,34093356,26231268,19515364,13969366,9592313,9592314,9705174,9495514,9495513,13842768,16151830,16151832,16881760,11811319,9399117,6254742,6254739,5598585,5598586,6297488,9592465,13969539,13846405,13846406,14048538,9660036,6352370,6352372,9660040,14048543,19605951,14108916,14108915,14048603,13773775,9442938,6190343,6190342,9442935,9555893,13922378,13842004,13842005,19228546,17369339,17369341,19826282,14202276,9763048,9763050,9762903,9762904,14202100,13602267,13602265,19054033,17201099,17201100,23484718,19454547,13922084,13922083,17201125,19389761,19389760,19605754,14048349,9659898,6352268,3985777,2388904,2388903,3985774,6352238,6352240,6352378,6352376,6325183,3965784,3965782,6325175,9626738,14009240,19560322,19826227,19826226,19669534,19606703,255715083,19826483,19826482,19177500,14048110,14048111,19605501,26333925,33543291,25829711,19177527,19177528,25829714,19669479,19669444,14099774,9697838,9697837,14099773,14049093,14049094,13738432,13738433,9697648,6378225,4001810,2398139,1387731,1387735,2398148,4001824,6378250,9697689,14099621,9698272,6378610,6378608,9698266,14100267,19669891,19605533,19605532,26333949,34207990,43306513,43054172,33995313,26153635,19454595,13922131,9555712,9555711,13922130,14202976,19227043,13735137,13735141,19227048,19826742,26403987,26334839,268504591,19227151,14202846,14202847,19669742,14100108,9698128,9698131,13720574,9398542,6157607,6157606,6378496,4001951,4001950,3852961,2308383,2308381,3852869,3852866,6157560,6419201,6419200,9763184,13720941,9398818,9398816,13720907,19209264,19229568,19229567,13737900,13737902,19230241,25889796,33695788,26638497,255315013,14202591,19285611,19285612,25949886,31683763,24175467,17807508,12606363,12606364,11551662,7685804,7685805,11551664,16570570,16573985,16573984,11562864,7695602,4870265,4870261,7695594,11422720,7727457,4891313,2947590,1709471,1709472,2947593,4891322,7727474,11556343,14767743,10156166,7731116,7731115,11611302,16434883,11549337,7683844,4861858,4861856,3520632,3520631,3520636,5660912,3742757,3742758,267816228,9118788,9118787,7601103,4808533,4808534,7601105,7748410,4907071,2957685,1715000,1715001,2957692,4810114,2899001,2899000,4810108,2899252,2899253,4810558,4810854,254539111,11436604,11617165,16581843,16431428,11446526,7612421,4820739,2905053,2905054,4820742,267979269,16433686,16433685,16440843,11454966,11454965,16440841,16397358,11413857,7585179,7585180,11413859,9110240,9110241,11765204,11765205,16410009,16410010,22593163,29957589,38522642,48430346,59816200,72551336,86149512,100115382,114148921,128037993,118341146,259606881,76246844,63232016,51518944,41301421,41301420,257739429,76246841,90055158,104184347,118341145,132155820,145384921,157785605,169217820,260256696,152228015,139497314,126123069,112264400,98282750,84373414,70814358,58097129,46725081,36842158,36842159,29817568,29817567,38390203,30363069,30363068,38949144,38238038,29672795,29672796,29806711,29672791,29672792,255387852,33553029,34674797,43949435,54693064,66951694,80381004,94439403,108731432,122257037,122998900,122998899,259806668,136828484,136828482,136828483,139592663,126218732,112359383,98377898,84469251,70913403,58200871,46834831,46834830,58200870,70913404,84469253,98377900,112359386,126218735,139592667,152321039,164203232,175017777,184617433,192999941,200190905,205147900,198840829,191393314,182738954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9083159, s2 = 3389635, dlinesl.size( ) = 2 s1 = 9083159, s2 = 3389635, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9083159, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1512248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 885534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 885534, s2 = 15967294, int(edited[s2]) = 0 s1 = 885534, s2 = 15967294, d1 = 1, d2 = 1 Dl.O(d1) = 22605294,29970271,38536234,269349723,59867562,48475827,38562358,29992159,29992160,38562360,48475825,48475828,48475829,59867565,72605652,72605650,72605651,86203329,72605647,258779389,100165751,114196126,128082651,128082650,141447789,261199757,128082652,141447790,262260671,165884818,261746861,140735671,140735670,140735672,262217229,165219848,262217227,140735655,127379455,261150778,258731193,59224736,47826701,47826700,59224734,71962971,85550695,259974555,127379449,140735648,127379461,113509209,99497660 Dl.O(d2) = 22605294,29970271,38536234,269349723,59867562,48475827,38562358,29992159,29992160,38562360,48475825,48475828,48475829,59867565,72605652,72605650,72605651,86203329,72605647,258779389,100165751,114196126,128082651,128082650,141447789,261199757,128082652,141447790,262260671,165884818,261746861,140735671,140735670,140735672,262217229,165219848,262217227,140735655,127379455,261150778,258731193,59224736,47826701,47826700,59224734,71962971,85550695,259974555,127379449,140735648,127379461,113509209,99497660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 885534, s2 = 15967294, dlinesl.size( ) = 2 s1 = 885534, s2 = 15967294, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 885534, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1179489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6517946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1513418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8026079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14535945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233335, s2 = 6652180, int(edited[s2]) = 0 s1 = 13233335, s2 = 6652180, d1 = 3, d2 = 1 Dl.O(d1) = 11558870,10303108,7742609,4902789,4902790,7742612,11624327,11624286,7742584,7735481,7735483,11430893,11430894,7691962,7691964,11553237,11550006,11550005,11551989,255253841,20009454,16583013,11563229,7695867,4870451,4870452,7695869,11557411,16576466,22792662,16659364,16659363,22794981,268094665,7729936,4893243,2948852,1710172,972020,972021,1710174,2948854,4893247,4895376,2950205,2950206,2951352,1713924,1713923,2955799,3919241,2346050,2346046,3919233,4862965,2934734,1702023,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7748679,4907289,4907291,7748687,11631302,11422786,11422784,13379128,9144687,5984221,3741916,3741914,4900360,7329281,7592131,7688310,11554474,7726277,4890466,2947068,1709204,1709206,2947075,4890481,7726298,7748129,4906827,4906828,7748131,268095187,11607356,7727133,7727134,11114374,11114373,11555011,7688829,7688830,4896022,2950639,2947403,1709364,1709365,2947407,4891034,7727118,11430853,11430150,7598853,4806985,2897140,1710382,972113,547446,547448,972118,1710391,2949258,2898634,2898638,4807439,2897425,2897424,1711976,972910,547835,547834,972900,1679481,955368,955367,1679473,2893927,1683426,1683425,2901784,4815143,5764188,5764189,5965559,4803933,2895383,2895382,4803929,6813447,4273604,2555147,2555146,4273599,4809108,7602021,7697199,11564507,9116799,7070028,4451293,4451294,7070033,10701395,11615458,11053565,7329073,4629839,4629838,2789190,1618223,920480,920482,1618228,1699723,1685742 Dl.O(d2) = 256966225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233335, s2 = 6652180, dlinesl.size( ) = 2 s1 = 13233335, s2 = 6652180, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13233335, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 454533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1515787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8035495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1516229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10157526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10157526, s2 = 9669322, int(edited[s2]) = 0 s1 = 10157526, s2 = 9669322, d1 = 11, d2 = 11 Dl.O(d1) = 99993232,99993233,259911910,28483561,254781220,11570362,7701503,4874234,4874233,7701501,11570418,13092199,11571229,11571227,16002252,11109495,7368192,7368191,11109491,16002204,22114743,255128859,3007814,1747306,993650,559440,559439,993648,1747302,3007806,4979297,7844318,11748914,267862004,3797098,3480764,2065953,1185804,1185803,2065948,3480750,5605652,5340574,5340573,8277106,5398509,3319493,1952733,1952735,3319500,5398520,8364177,12377766,17547651,17404599,12265566,12265565,17404596,23696584,17374476,17374477,16616838,16616837,269306978,17837609,255889086,16135352,16135354,22278367,22279706,16136312,11209326,11209325,16136308,16125223,11201390,7432447,7432448,11201392,16125231,22266493,17487206,12329789,12329788,17487203,255394325,10583953,15323911,21288972,22193118,16064806,11154791,11154739,11154312,7398845,4674116,2815960,2815961,2815977,4674147,7398910,11154980,16065168,22193522,22670292,29536648,30048038,255843516,38619578,38100079,29536332,29536331,38099276,30707996,30048247,30048246,268639814,22193089,16064771,16064772,22193091,29536317,38100068,38619182,30045148,22669662,16473938,16473939,16241965,11291893,7497118,4739192,4739191,7497115,11291886,16241950,22404168,29766921,22671839,22671840,30047206,38620918,48535909,59929335,72669399,86269566,100234781,114266867,128151386,262264189,176579198,261666808,154173675,154173676,165932733,176579193,186001718,186001724,176579206,165932752,263175249,273353742,260002710,258759618,22376497,254776764,29732886,22375408,22375409,29732887,29690073,22337558,16189940,11253924,7470598,4721075,4721076,7470600,6874119,4315215,2580814,254124632,6874121,10426211,15115592,21043806,16189862,11253851,7470531,7470530,11253849,16189860,16190083,11254050,7470678,4721132,2844384,1650141,938388,938391,1650146,2844395,4721156,7470594,7470593,11253910,11253909,13687601,16190141,16190142,16190166,22337799,29690261,22337821,16190205,11254147,7470756,7470757,11254149,11738286,16787884,16787876,11738275,11738276,16787877,22336285,16188584,16188585,22336289,254237692,22337767,16190134,11254084,7470705,7470704,254100234,16196401,11258676,11258675,9979734,9979736,11272229,7482738,7482737,11272227,16196337,11275699,7484972,4730085,2849776,2849775,4730081,7484967,7469584,7469585,11252486,11738335,11258546,7474190,4723581,4723583,267766442,7471569,7471570,254237990,7474052,4723445,2845932,2845933,4723450,4723440,2845923,254238002,1651117,2845894,4723405,7474004,7642514,255488629,5928429,3706899,2220014,1287903,1287906,2220023,3706919,5928468,8736441,5816568,5688086,3538436,3538433,5688075,8737210,12848474,12846857,12846859,18117368,24554590,18118079,18118078,24555528,255970394,51056544,41905394,32966032,25244177,18674096,13282039,255247179,255523930,29451043,24556229,18118599,12847646,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559398,24559403,25245978,18675577,254592122,32968006,38013193,47927509,38518913,38518914,39963163,31287863,23801317,17468444,12315570,12315571,17468450,23801333,24558395,32140045,32140545,32139684,32139682,30754642,30754640,39355201,30754623,30754626,24010452,24010448,31510393,40196318,50218657,61700698,62687754,51057704,40916400,40916399,47330509,47330510,256301060,41908267,32968912,25246728,18676094,13283397,9067001,9067000,13283396,18676093,21971198,15877470,15877471,21202177,21202178,28425620,24336897,17946895,255599357 Dl.O(d2) = 99993232,99993233,259911910,28483561,254781220,11570362,7701503,4874234,4874233,7701501,11570418,13092199,11571229,11571227,16002252,11109495,7368192,7368191,11109491,16002204,22114743,255128859,3007814,1747306,993650,559440,559439,993648,1747302,3007806,4979297,7844318,11748914,267862004,3797098,3480764,2065953,1185804,1185803,2065948,3480750,5605652,5340574,5340573,8277106,5398509,3319493,1952733,1952735,3319500,5398520,8364177,12377766,17547651,17404599,12265566,12265565,17404596,23696584,17374476,17374477,16616838,16616837,269306978,17837609,255889086,16135352,16135354,22278367,22279706,16136312,11209326,11209325,16136308,16125223,11201390,7432447,7432448,11201392,16125231,22266493,17487206,12329789,12329788,17487203,255394325,10583953,15323911,21288972,22193118,16064806,11154791,11154739,11154312,7398845,4674116,2815960,2815961,2815977,4674147,7398910,11154980,16065168,22193522,22670292,29536648,30048038,255843516,38619578,38100079,29536332,29536331,38099276,30707996,30048247,30048246,268639814,22193089,16064771,16064772,22193091,29536317,38100068,38619182,30045148,22669662,16473938,16473939,16241965,11291893,7497118,4739192,4739191,7497115,11291886,16241950,22404168,29766921,22671839,22671840,30047206,38620918,48535909,59929335,72669399,86269566,100234781,114266867,128151386,262264189,176579198,261666808,154173675,154173676,165932733,176579193,186001718,186001724,176579206,165932752,263175249,273353742,260002710,258759618,22376497,254776764,29732886,22375408,22375409,29732887,29690073,22337558,16189940,11253924,7470598,4721075,4721076,7470600,6874119,4315215,2580814,254124632,6874121,10426211,15115592,21043806,16189862,11253851,7470531,7470530,11253849,16189860,16190083,11254050,7470678,4721132,2844384,1650141,938388,938391,1650146,2844395,4721156,7470594,7470593,11253910,11253909,13687601,16190141,16190142,16190166,22337799,29690261,22337821,16190205,11254147,7470756,7470757,11254149,11738286,16787884,16787876,11738275,11738276,16787877,22336285,16188584,16188585,22336289,254237692,22337767,16190134,11254084,7470705,7470704,254100234,16196401,11258676,11258675,9979734,9979736,11272229,7482738,7482737,11272227,16196337,11275699,7484972,4730085,2849776,2849775,4730081,7484967,7469584,7469585,11252486,11738335,11258546,7474190,4723581,4723583,267766442,7471569,7471570,254237990,7474052,4723445,2845932,2845933,4723450,4723440,2845923,254238002,1651117,2845894,4723405,7474004,7642514,255488629,5928429,3706899,2220014,1287903,1287906,2220023,3706919,5928468,8736441,5816568,5688086,3538436,3538433,5688075,8737210,12848474,12846857,12846859,18117368,24554590,18118079,18118078,24555528,255970394,51056544,41905394,32966032,25244177,18674096,13282039,255247179,255523930,29451043,24556229,18118599,12847646,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559398,24559403,25245978,18675577,254592122,32968006,38013193,47927509,38518913,38518914,39963163,31287863,23801317,17468444,12315570,12315571,17468450,23801333,24558395,32140045,32140545,32139684,32139682,30754642,30754640,39355201,30754623,30754626,24010452,24010448,31510393,40196318,50218657,61700698,62687754,51057704,40916400,40916399,47330509,47330510,256301060,41908267,32968912,25246728,18676094,13283397,9067001,9067000,13283396,18676093,21971198,15877470,15877471,21202177,21202178,28425620,24336897,17946895,255599357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10157526, s2 = 9669322, dlinesl.size( ) = 2 s1 = 10157526, s2 = 9669322, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10157526, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 7612171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7612171, s2 = 1882947, int(edited[s2]) = 0 s1 = 7612171, s2 = 1882947, d1 = 58, d2 = 82 Dl.O(d1) = 269352573,268954735 Dl.O(d2) = 136168411,262052027,262327408,155514849,142965404,129637939,115741445,258243076,74117685,256504240,48752251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7612171, s2 = 1882947, dlinesl.size( ) = 2 s1 = 7612171, s2 = 1882947, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7612171, Dl.E( ) = 86, 3.19e-05 seconds used appending s1 = 1517898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1517898, s2 = 498172, int(edited[s2]) = 0 s1 = 1517898, s2 = 498172, d1 = 6, d2 = 6 Dl.O(d1) = 38650047,30074129,23284191,17025054,11940077,7991222,7991219,10515135,11671749,16711011,11669804,7779412,7779411,11669801,16711003,22947486,17723528,12539249,255193017,11600833,7722481,4888089,2945595,2945593,4888077,7722461,11600810,254983355,6568042,254983353,12665377,268450345 Dl.O(d2) = 38650047,30074129,23284191,17025054,11940077,7991222,7991219,10515135,11671749,16711011,11669804,7779412,7779411,11669801,16711003,22947486,17723528,12539249,255193017,11600833,7722481,4888089,2945595,2945593,4888077,7722461,11600810,254983355,6568042,254983353,12665377,268450345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1517898, s2 = 498172, dlinesl.size( ) = 2 s1 = 1517898, s2 = 498172, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1517898, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14162988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1184710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15224026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15224026, s2 = 1518575, int(edited[s2]) = 0 s1 = 15224026, s2 = 1518575, d1 = 0, d2 = 0 Dl.O(d1) = 134058777,120223450,106021269,91826102,77904612,77904613,91826103,77904615,64715897,64715895,64715894,52802287,42402914,33413785,33413786,36461905,36509351,30386730,22984189,22984188,30386728,38973224,39896574,37443769,37443768,31427381,31427379,32976261,25253453,18682608,18682607,25253451,28158574,268062968,57855977,70557453,256812126,86875826,73263619,60518138,49116014,39187293,30589874,23171573,16908088,11832924,7908032,7908033,9091941,10964377,10964376,15821446,16908103,254814317,7908036,11832931,16908100,23171584,26397013,255479682,34086159,26225099,26225098,21912889,19510248,15404464,10647331,7030081,4422396,4422398,7030087,10647340,15404475,15901348,22001186,19650455,14084898,9688248,6372811,3998994,3998996,6372818,9688264,14084931,17842806,17845243,24215597,24541005,28784458,21520804,15509201,10726052,7086739,4461901,4461903,7086743,10726054,9692587,6375115,4000104,4000103,6375113,9692577,14092114,19659974,16914415,16914416,12635491,10725818,7086604,4461826,2680507,2680508,4461831,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,5182242,3161816,3161815,5182241,5182346,8088699,12031814,14088473,14088475,9759801,9759802,14197673,12031766,12031768,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,1056289,1850803,1850871,1850922,3161775,5182159,8088318,12031156,16499534,22703196,30085011,38662244,48578226,55476837,44626848,35243337,254315452,20237019,26925777,25580049,18971954,18971955,25580050,29495554,29425768,22095024,22095023,29425767,29084822,21787220,15728688,15728687,21787219,29084820,21825964,21825963,29133059,34563276,30916685,30916684,38058391,32327924,24712711,18240593,17231194,12113053,8144524,8144523,12113046,17231172,23539178,26226300,26226299,23577080,17265510,15210400,10492135,6918643,4346394,4346395,4346368,4346360,4346361,6295135,3943130,2360491,1366740,1366738,2360481,3943105,6295082,9589494,13965923,19511000,26225872,34086881,43170248,53680465,258468681,93207147,107607526,121977587,135899803,149120358,149853354,136710712,122878608,108613747,258837176,54580633,43835385,43835384,48685552,46654685,36770130,28274902,28274901,256833503,58026569,70740104,70433991,57739570,57739569,70433993,83960278,97819232,111741340,125547462,138880151,151582649,149419269,136169499,122206738,107801672,107801673,122206740,136169502,149419272,149419271,149419267,149419266,161710103,149419274,149419273,161710102,149419265,136169508,259539306,93379617,79252442,65889007,61996247,61996248,65888985,53821263,43296410,34198714,26325829,26325830,34198717,43296415,53821271,65888992,74682965,65888986,53821265,53821264,55352660,44506720,44506721,55352662,67692117,72488630,72488631,86085975,100048484,86274491,72674796,59935320,59935319,257674974,41078057,256075694,24666550,254892138,18639405,25202516,32915675,41843197,255223596,77119102,257138530,40490978,40490979,37720791,268932785,34012575,255707091 Dl.O(d2) = 134058777,120223450,106021269,91826102,77904612,77904613,91826103,77904615,64715897,64715895,64715894,52802287,42402914,33413785,33413786,36461905,36509351,30386730,22984189,22984188,30386728,38973224,39896574,37443769,37443768,31427381,31427379,32976261,25253453,18682608,18682607,25253451,28158574,268062968,57855977,70557453,256812126,86875826,73263619,60518138,49116014,39187293,30589874,23171573,16908088,11832924,7908032,7908033,9091941,10964377,10964376,15821446,16908103,254814317,7908036,11832931,16908100,23171584,26397013,255479682,34086159,26225099,26225098,21912889,19510248,15404464,10647331,7030081,4422396,4422398,7030087,10647340,15404475,15901348,22001186,19650455,14084898,9688248,6372811,3998994,3998996,6372818,9688264,14084931,17842806,17845243,24215597,24541005,28784458,21520804,15509201,10726052,7086739,4461901,4461903,7086743,10726054,9692587,6375115,4000104,4000103,6375113,9692577,14092114,19659974,16914415,16914416,12635491,10725818,7086604,4461826,2680507,2680508,4461831,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,5182242,3161816,3161815,5182241,5182346,8088699,12031814,14088473,14088475,9759801,9759802,14197673,12031766,12031768,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,1056289,1850803,1850871,1850922,3161775,5182159,8088318,12031156,16499534,22703196,30085011,38662244,48578226,55476837,44626848,35243337,254315452,20237019,26925777,25580049,18971954,18971955,25580050,29495554,29425768,22095024,22095023,29425767,29084822,21787220,15728688,15728687,21787219,29084820,21825964,21825963,29133059,34563276,30916685,30916684,38058391,32327924,24712711,18240593,17231194,12113053,8144524,8144523,12113046,17231172,23539178,26226300,26226299,23577080,17265510,15210400,10492135,6918643,4346394,4346395,4346368,4346360,4346361,6295135,3943130,2360491,1366740,1366738,2360481,3943105,6295082,9589494,13965923,19511000,26225872,34086881,43170248,53680465,258468681,93207147,107607526,121977587,135899803,149120358,149853354,136710712,122878608,108613747,258837176,54580633,43835385,43835384,48685552,46654685,36770130,28274902,28274901,256833503,58026569,70740104,70433991,57739570,57739569,70433993,83960278,97819232,111741340,125547462,138880151,151582649,149419269,136169499,122206738,107801672,107801673,122206740,136169502,149419272,149419271,149419267,149419266,161710103,149419274,149419273,161710102,149419265,136169508,259539306,93379617,79252442,65889007,61996247,61996248,65888985,53821263,43296410,34198714,26325829,26325830,34198717,43296415,53821271,65888992,74682965,65888986,53821265,53821264,55352660,44506720,44506721,55352662,67692117,72488630,72488631,86085975,100048484,86274491,72674796,59935320,59935319,257674974,41078057,256075694,24666550,254892138,18639405,25202516,32915675,41843197,255223596,77119102,257138530,40490978,40490979,37720791,268932785,34012575,255707091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15224026, s2 = 1518575, dlinesl.size( ) = 2 s1 = 15224026, s2 = 1518575, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15224026, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1518633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14527039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 891433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1186838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1186838, s2 = 6841658, int(edited[s2]) = 0 s1 = 1186838, s2 = 6841658, d1 = 28, d2 = 35 Dl.O(d1) = 30117750,30117751,38694035,268646851,22736463,16529849,16529851,22736465,30117837,30117835 Dl.O(d2) = 259101264,79132019,79132018,259731967,270315648,256919330,37910432,37910433,47832162,59229903,71967732,258109558,71967731,85555110,260575059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1186838, s2 = 6841658, dlinesl.size( ) = 2 s1 = 1186838, s2 = 6841658, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1186838, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 7943155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7943155, s2 = 13098323, int(edited[s2]) = 0 s1 = 7943155, s2 = 13098323, d1 = 39, d2 = 45 Dl.O(d1) = 30568367,30568368,28734331,28734332,255536920,20820575,255150804,10261562,14922906,11543552,11543553,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,3283529,5342226,5342287,8280101,12260657,17397969,15212185,10493325,10493324,15212177,12249062,8272703,5338001,5337999,8272697,12249047,17382518,16738099,16738097,15500391,15500392,17404630,17545683,23892154,23705847,23700342,22878241,17412693,17412695,18981386,23882661,19898548,19898550,17379664,12247117,12247120,12264258,8282531,5343539,3284156,1931452,1103364,619122,619123,1103369,1931422,1930843,1930847,1103168,1103167,1930995,3281572,3281568,4852761,4852760,254792741,16542211,22753272,30139059,38718643,48636553,60029467 Dl.O(d2) = 22970410,30371931,30373713,30372620,22970938,22970937,28762283,28762282,28762268,28762269,30373108,22971366,16735144,16735143,22971360,22970659,16734698,16734699,16735120,16735119,22971315,16735430,11692308,11692310,16735438,13196360,13196363,16735275,16735227,16735225,22971325,30373063,30373444,22971700,22971699,30373441,25122070,18570397,13196366,255244125,25121922,18570279,17928612,13195765,8995696,5873134,5873135,8995704,13195780,18569469,24984820,32658663,41548861,40530086,31832496,25121669,25121670,25120879,25120880,25122245,18570618,13196553,8996095,8996096,13196555,18570622,25122246,32658585,32658584,256105917,25120973,32658669,24984827,18462524,18462525,24984828,32658639,32658640,29615691,255460245,11200343,11200342,255083327,22265867,22933125,16698354,16698355,22933126,30333882,38920214,256272476,22377987,16221751,11276843,7485740,4730600,4730601,7485744,7485738,7485737,267975855,8217089,8217088,268107845,17310958,17310957,23626820,31113362,39793943,32553408,24903351,18399800,18399801,24903352,32553410,41412062,51653258,63396258,76439988,90270290,104421779,116411746,102319379,88323758,88323759,102319382,102319329,88323725,74696156,72602619,59864724,59864725,72602620,86199990,100162242,114192446,126091379,112236312,98258239,98258240,112236314,126091387,119976674,119976675,133843035,141444451,140712627,127356638,257271708,118605133,104421743,90270265,76439971,63396248,51653254,51653255,63396253,76439981,90270280,104421761,118605156,114192494,100162269,86200009,72602633,59864731,48473182,48473181,59864727,72602629,86200001,100162257,114192476,114192536,114192537,128079097,128079129,114192560,114192558,128079125,128079141,128079142,140712521,140712522,127356689,113487166,99476457,85529912,71941935,59202782,47803255,37879575,37879574,47803250,59202774,71941923,85529902,99476439,113487144,127356653,127292718,113434080,99432100,99432101,100162221,104904058,90730946,90730947,104904061,102319405,88323778,85529857,71941893,59864719,48473174,48473175,40377632,40377631,50412166,61902604,74696171,63750338,63750339,76857294,90730920,104904027,119089264,132908886,119089334,104904088,90730965,90730966,104904089,104904022,104904021,119089251,116411743,102319397,88323766,74696182,74696181,61902634,61902633,74696223,88323768,88323771,88323831,74696216,61902630,50412178,40377639,40377637,50412173,61902619,74696194,88323785,100162232,105742014,91518361,77587337,64418524,64418526,77587339,91518363,104421772,90270288,76439987,63396256,51653257,51653258,63396258,76439988,90270289,104421775,102319363,88323746,74696165,74696164,88323743,102319359,113434084,100162239,100162238,113434071,113434072,268041086,77587343,64418529,52544269,42185462,33225357,25477223,25477224,33225359,26437733,26437732,26437742,23257686,23257687,30673663,254464716,14123981,14123980,19698602,26437731,34316341,30673677,23257678,23257679,30673680,39269926,49196056,60596701,73341526,86952847,86952844,86952843,268796124,93519749,100936198,100936197,114990165,257271798,93519752,93519751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7943155, s2 = 13098323, dlinesl.size( ) = 14 s1 = 9243956, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 647488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1522298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162436, s2 = 7877030, int(edited[s2]) = 0 s1 = 14162436, s2 = 7877030, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 72176092,72176094,59437765,48045993,38132670,38132671,38132674,38132676,48045998,59437770,59437754,59437753,50293808,40272420,268445817,268402708,12538110,12538109,10628899,10628900,15380819,16860291,16860292,23120067,28589864,21358539,21358538,28589857,37096478,39101426,30505107,23090641,16836266,16836267,255519386,11773585,11773586,16836262,23090636,30505101,24079373,24079374,31585254,40272359,50293718,50293719,41042569,39138065,39138064,256807992,268329771,34607364,256465830,256465828,40272349,255519384,49068407,268968430,50293732,41042378,40263339,40263340,50284330,43878016,269367250,49068416,39138080,39138081,49068419,50293695,50293697,49096460,39166296,30568520,30568519,39166294,41042381,32249833,24651197,18193813,18193815,24651202,23098434,16842504,16842505,18193718,24651076,32249672,41042441,51198341,62847585,51198456,41042588,32249846,268711023,256074573,18193682,12904400,8778179,8778178,12904396,12904417,18193714,24651070,32249666,41042431,41042365,32249607,24651026,268263209,255589961,31716154,256938700,40408436,31716222,24208441,17838427,12632033,268118871,24208439,268690063,41042463,40408432,32249690,32249689,41042420,32249650,255618129,12904412,12904411,18193706,24651059,31716212,40408429,50442496,61933107,74726789,270403468,255199983,12632062,17838465,24208488,24208451,17838433,12632039,255199981,24208448,31716231,40408390,32249677,32249678,24651088,18193729,12904425,8778195,8778194,12904423,18193721,18193704,18193702,24651055,32249645,257097815,31716189,40408398,50442471,61933192,269007083,31716205,24208418,17838415,255589965,12632054,8576887,5572737,5572738,8576889,12632058,17838460,24208481,31716277,40408498,50442571,51198310,41042408,41042409,51198314,62847610,61933222,61933221,62847710,51198430,49762978,39744427,257046715,257722257,62847602,62847603,258302716,75811176,62847597,62847596,51198328,51198327,61933165,257097811,40408375,50442391,61933093,61933244,74726900,62847701,51198423,51198422,62847700,72318414,59583805,59583806,67724735,77080833,77080832,90966644,87626463,74022425,74022426,258302718,74726913,61933265,50442574,50442575,61933266,63711270,51904798,256612539,32702172,41605146,51904796,55251261,268921460,74022424,258302720,61241928,61241926,55385349,55385350,67724750,258302714,55385300,55385301,61241935,49762984,49762983,61241933,55385297,55385296,61933203,50442486,50442487,61933199,53112958,42660970,42660971,53112961,255750366,92421108,256225904,61573312,61573309,74350137,87952346,101924958,115126908,116118409,102060519,102060520,259971696,113467368,113467369,270314260,99053768,102437837,102437836,99457153,85511240,257494486,74803249,62006577,62006578,74803251,270919931,88074631,74462309,258895001,102060523,116118411,113467370,103709032,89593440,75811267,258334626,80307844,66878236,66878237,73246992,75811254,62847682,51198401,51198400,269035496,66878248,66878247,80307857,90817325,94364483,80307834,66878231,54620355,43878009,43878010,54620357,61933212,74726876,84503848,70939905,269308803,36976495,28479029,28479028,36976493,257427571,70939903,59184692,59184693,71923852,81188556,81188555,95243123,85511243,85511226,258272550,71923865,71923864,85511234,71923873,59184710,47784912,37860744,37860743,29291609,21964599,268080411,10999768,15870584,21964595,29291605,37860749,38482956,29922857,22563455,22563456,29922860,38482962,48385588,59768400,72502713,86101608,85781413,269806868,59768485,59768484,72502780,72502698,59768391,59768392,72502701,86101594,86101599,99735248,107647833,99735261,85781428,72187326,72187327,85781430,259990607,99735227,85781381,72187303,72187302,59449288,59449287,256934325,38144652,38144646,38144644,38144634,38144633,48057819,59449236,52665467,52665468,59448957,72187023,72187307,59449266,51115355,51115356,59358188,64566049,52665306,52665305,62746589,269030495,32193134,24604894,18156533,18156534,24604898,32193143,40973135,51115337,62746571,71878906,59140632,47741988,47741989,59140634,64566042,59140605,47741973,37819595,37819596,47741974,59140606,71878872,85422294,75693928,62746577,62746578,75693930,71834761,71834760,85422290,99364833,89459176,89459177,98714090,112709401,109737338,109737339,100849382,260064189,128797438,114900237,100849376,100849377,101926885,100849388,100849389,114900243,259667036,112671323,126534022,127618470,113749625,99735247,99735246,113749624,127618469,123882990,109737348,95527519,81491757,68007800,55619851,44720988,44720987,55619847,68007792,81491746,95527513,86868215,86868216,86868207,73255362,60508466,60508465,50168692,40143896,40143895,50168691,49104331,39174058,39174057,49104329,60508468,49104335,39174059,39174060,40088446,31408483,23918226,23918227,31408486,38126557,29561056,29561055,34121287,34121288,257260073,65777268,58458210,47080132,37184942,37184943,47080136,58458219,71180339,84749131,71185754,71185756,84754436,90869628,76991236,63880662,258378675,90869630,90869544,90869543,105048653,119241420,119230763,109737320,105038398,90859677,76981421,63870431,52051241,41736605,41736606,52051244,63870434,63880620,63880621,76991169,90869562,1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00,29586401,30076837,30076836,38653550,256059068,41829776,41829775,256096252,48569404,38653546,30076833,22695974,22695973,30076830,31440441,254897602,48569415,38653554,30076839,22695976,16493602,255488689,30076835,37198963,37198964,268280656,41859033,255627740,34611420,34611419,43882555,54624892,66882395,72699725,72699724,257150904,59961742,59961743,61876527,61876528,74668356,80311516,80311515,77550826,64382937,52509601,43912712,42151999,42151998,255827924,47037371,47037370,57677384,46330617,36475143,32561161,32561160,24909863,18404960,13072972,13072973,254998349,10282745,14948548,20848857,28014570,24909803,24909804,32561167,24910028,18405055,18405053,24910024,32561457,40594686,255213814,254623406,9447875,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063079,15348850,10603027,9918106,9918107,14419640,20108914,26999214,32097100,24521852,18090329,12825213,8719618,254731017,7008050,9917815,6517972,4083973,4083974,2633801,254498103,10600169,10603387,268050129,9995774,255254585,9122795,5969526,3733187,3733191,5969541,9122819,12851011,8738975,5689234,5689233,8738973,254729735,4395579,254442071,2235644,2235643,3734041,5970976,4084073,4084072,6518139,6518056,4084025,2443503,2443504,1412933,803931,455578,256783,256782,380129,208752,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,5968922,5968924,4083520,4083519,6517212,9413276,8971269,8971268,9413281,9413282,8330399,7028681,7028682,10645385,8318408,8318409,12314969,17467627,14421322,9919813,6519577,6519578,9919817,10479165,6909149,6909150,9123389,5969944,3751339,3751341,5998531,9165078,13405405,18817005,21317941,21969446,18567223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162436, s2 = 7877030, dlinesl.size( ) = 2 s1 = 14162436, s2 = 7877030, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162436, Dl.E( ) = 2, 7.87e-06 seconds used appending s1 = 7577549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9377152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8085630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8085630, s2 = 12495033, int(edited[s2]) = 0 s1 = 8085630, s2 = 12495033, d1 = 38, d2 = 19 Dl.O(d1) = 39322709,30724873,23307184,17045908,255114764,255939520,30200343,38784644,256099581,18499500,256099583 Dl.O(d2) = 15096529,16458384,15096537,10411833,10411834,15096507,10411819,10411818,15096505,21019102,28212454,25877976,25877975,28078553,28078554,23119664,23119663,28078582,20906026,15001040,15001033,15001034,20906019,28078570,36546705,36703340,46408253,46408251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8085630, s2 = 12495033, dlinesl.size( ) = 2 s1 = 8085630, s2 = 12495033, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8085630, Dl.E( ) = 40, 1.1e-05 seconds used appending s1 = 1837765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7935387, s2 = 4313896, int(edited[s2]) = 0 s1 = 7935387, s2 = 4313896, d1 = 1, d2 = 1 Dl.O(d1) = 57794551,46439244,36574213,28102650,20926649,15018675,254808262,15018655,15018654,20926621,28102624,254808266,47439471,46663137,36777790,36777791,28379924,21162447,15206025,11257005,254808284,22342825,28379972,36876505,28379990,28379989,36876366,31366775,31366774,36876523,36876463,28379915,21162435,21162433,15206027,15206028,21162451,28379929,36876477,28380099,21162608,15206149,15206150,21162611,28380103,36876633,46681364,46333801,36478110,28298293,21090380,15149404,10448218,6887824,6887823,10448216,15149400,21090377,23252315,23252316,21090444,21090445,20081742,14398403,11401792,7576141,7576142,11401793,16382677,20235980,20235981,27144951,35047547,35047546,26968663,26968665,30847156,23416909,17141063,12046601,8098870,5188675,3165631,1853142,1853143,3165634,267904055,12046615,17141080,23416935,23416906,23416905,30847148,39451440,38790002,30205237,22813624,22813625,30205201,255497075,11574083,11574084,16595311,22813614,30205213,38789986,48712027,60107210,60107216,60107215,269828473,258297461,50541640,50541639,48712033,38789983,38789982,48712031,60107213,258796649,100393469,100393468,100393470,100393471,114416691,128292698,141642696,154296989,166048098,176686860,176686861,186101675,177411169,166864705,155172650,142529268,129153295,115222674,101145668,87147579,258842939,60780834,49379625,39451462,30847181,30847180,39451461,39451443,39451442,49379605,257413836,49379622,39451457,30847184,23416926,23416925,30847183,39451459,30847179,30847178,39451458,49379624,60780814,49379594,39451433,39451432,49379592,44625220,35241868,27144973,27144972,268831179,55475216,55475214,44625207,35241830,27144918,20235950,20235951,20235930,255755295,256757375,268644878,256503501,44625204,44625187,35241883,268831181,55475210,44625287,35241952,30015350,30015352 Dl.O(d2) = 57794551,46439244,36574213,28102650,20926649,15018675,254808262,15018655,15018654,20926621,28102624,254808266,47439471,46663137,36777790,36777791,28379924,21162447,15206025,11257005,254808284,22342825,28379972,36876505,28379990,28379989,36876366,31366775,31366774,36876523,36876463,28379915,21162435,21162433,15206027,15206028,21162451,28379929,36876477,28380099,21162608,15206149,15206150,21162611,28380103,36876633,46681364,46333801,36478110,28298293,21090380,15149404,10448218,6887824,6887823,10448216,15149400,21090377,23252315,23252316,21090444,21090445,20081742,14398403,11401792,7576141,7576142,11401793,16382677,20235980,20235981,27144951,35047547,35047546,26968663,26968665,30847156,23416909,17141063,12046601,8098870,5188675,3165631,1853142,1853143,3165634,267904055,12046615,17141080,23416935,23416906,23416905,30847148,39451440,38790002,30205237,22813624,22813625,30205201,255497075,11574083,11574084,16595311,22813614,30205213,38789986,48712027,60107210,60107216,60107215,269828473,258297461,50541640,50541639,48712033,38789983,38789982,48712031,60107213,258796649,100393469,100393468,100393470,100393471,114416691,128292698,141642696,154296989,166048098,176686860,176686861,186101675,177411169,166864705,155172650,142529268,129153295,115222674,101145668,87147579,258842939,60780834,49379625,39451462,30847181,30847180,39451461,39451443,39451442,49379605,257413836,49379622,39451457,30847184,23416926,23416925,30847183,39451459,30847179,30847178,39451458,49379624,60780814,49379594,39451433,39451432,49379592,44625220,35241868,27144973,27144972,268831179,55475216,55475214,44625207,35241830,27144918,20235950,20235951,20235930,255755295,256757375,268644878,256503501,44625204,44625187,35241883,268831181,55475210,44625287,35241952,30015350,30015352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7935387, s2 = 4313896, dlinesl.size( ) = 2 s1 = 7935387, s2 = 4313896, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7935387, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8452306, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6707441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1527103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1527305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157048, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7974560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6515643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9508696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1194386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1529272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1529272, s2 = 592721, int(edited[s2]) = 0 s1 = 1529272, s2 = 592721, d1 = 14, d2 = 13 Dl.O(d1) = 38839488,38839489 Dl.O(d2) = 28541724,21318217,15347325,15347326,17773555,17773554,24137706,21403784,15416572,10656820,10656819,15416569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1529272, s2 = 592721, dlinesl.size( ) = 2 s1 = 1529272, s2 = 592721, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1529272, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 11657102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6629357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6629357, s2 = 7906161, int(edited[s2]) = 0 s1 = 6629357, s2 = 7906161, d1 = 22, d2 = 6 Dl.O(d1) = 256708138 Dl.O(d2) = 29647071,35411611,256768095,31578960,31578961,31578970,24073334,17716856,12533395,8495004,8495005,12533396,17716858,24073338,31578975,257670837,50332038,50332118,61815634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6629357, s2 = 7906161, dlinesl.size( ) = 24 s1 = 10354898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354898, s2 = 8773021, int(edited[s2]) = 0 s1 = 10354898, s2 = 8773021, d1 = 108, d2 = 125 Dl.O(d1) = 263578750,154363490 Dl.O(d2) = 265218237,265010616,264781895,219442181,274352317,222228061,274518449,228505676,265578886,265218240,216143540,274200167,201377264,207287876,212161964,212161965,265218239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354898, s2 = 8773021, dlinesl.size( ) = 80 s1 = 13497897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13497897, s2 = 7802487, int(edited[s2]) = 0 s1 = 13497897, s2 = 7802487, d1 = 16, d2 = 30 Dl.O(d1) = 99366867,99366868,113367983,127225924,140571159,259667124,122892293,257797632,257797630,108628124,257206586,66855346,54596535,256134158,257206588,258413374,258413372,97692920,83835065,74968421,62156863,50647754,40597912,31889160,24361452,24361453,31889163,268298468,57611169,257206584,74968424,62156868,50647756,46275132,256134160,26593308,26593307,29254297,21933241,21933240,29254295,31889159,38871845,256134156,54596538,43852115,34580515,26593309,26593310,34580516,43852117,48794293,38871844,30285984,30285983,38871842,48794292,60191033,258804163 Dl.O(d2) = 18269979,18102796,13832734,9487912,6222070,6222069,9487909,8727974,8651568,8651567,8651571,5681871,3534316,2103618,2103617,3534314,3496530,2077644,1194060,671921,373640,204786,111958,111358,61286,34351,34347,35498,35494,64465,64463,64466,64444,64441,67956,67984,254111415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13497897, s2 = 7802487, dlinesl.size( ) = 2 s1 = 13497897, s2 = 7802487, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13497897, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 1342975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 814180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1197852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2243702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10191442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10139028, s2 = 10844034, int(edited[s2]) = 0 s1 = 10139028, s2 = 10844034, d1 = 36, d2 = 41 Dl.O(d1) = 254247516,2978672,1940089,1108199,1108200,981627,552729,552727,310065,310064,553645,983425,1729901,2974771,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,1728550,1728522,982604,982605,982569,553914,309956,171438,171439,309963,553930,554198,984474,982729,553269,553271,982735,1728745,2978308,3298631,1940058,1940059,1938880,1107503,621499,345389,189551,189550,345629,621921,621933,1108241,1940170,3298783,5365964,8315831,11681171,254552875,4931516,2974849,1726454,1726455,2974851,4931523,7780977,11671970,7785770,4935731,4935729,4941952,2982201,1731145,984119,554019,310000,309999,554012,984106,1731121,2982165,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732547,1732546,2982355,4942180,7794454,7785874,4935807,2978323,2978322,4936070,7786215,11677588,11685585,11677596,7786220,7786221,11677597,16719302,11677601,11677118,11677117,16718879,16730558,11687993,254382248,11937321,11931458,7984497,5081664,5081663,7984494,11678144,11678143,11931835,12015835,8074706,5169378,3151418,3151419,5169380,7789140,7789139,11680945,11910423,11910422,16996099,11927174,11878256,7940706,7792197,254534540,11931502,7984545,7984542,11931511,17013182,11927802,11927801,17013181,23246714,17018907,11934990,7987407,7987406,11934989,16719127,11677373,7786004,5081922,3082216,254178160,7983850,7983830,5081279,5081281,7951210,7951209,254570346,7930953,11866411,11901462,7959556,5063016,5063015,7959554,6311787,3955871,3955872,5054350,6311790,9609516,12016128,8075066,8075065,11684923,11672678,11672677,254385856 Dl.O(d2) = 73611217,258849871,49458222,39524618,30914158,30914157,39524616,257619231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10139028, s2 = 10844034, dlinesl.size( ) = 26 s1 = 13899067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13899067, s2 = 14344807, int(edited[s2]) = 0 s1 = 13899067, s2 = 14344807, d1 = 37, d2 = 31 Dl.O(d1) = 236128292,235200608,234181996,233061559,231822124,231822125,233061562,234182001,235200615,236128302,235915410,235915409,236779642,236779668,235915425,274663830,233925206,234967210,234181999,234181998,235200610,235200609,236128293,236973214,237566252,266741239,274771562 Dl.O(d2) = 262498843,147852030,160105769,171331651,160105790,147852045,134726531,120928377,106675538,106675537,120928376,120928365,120928366,120928385,120928375,106675536,106675534,106675546,92371499,92371500,106675549,260905001,147852062,160105808,171331696,181359921,190168419,197773641,204253525,197773645,190168421,190168420,197773643,197773676,197773675,204253558,273797353,197773658,190168440,181359938,171331712,160105822,147852077,134726568,120928414,120928415,134726571,272401429,134726556,120928399,120928400,106675578,106675577,120928423,134726562,134726563,134726565,120928412,120928411,260310551,259066121,65059773,258437489,92371508,106675561,120928404,106675568,92371512,78338654,65059775,53077381,42629878,33605025,25807290,19159797,268030331,9369075,13681435,19159801,25807298,33605040,42629907,49082637,39152548,30554817,23137250,16876942,11806974,7886225,7886229,7885925,5008532,5008531,3028473,3028472,3028501,3028500,5008656,7886472,11807311,12695804,16876169,11807151,7886343,5008585,5008584,7886340,7961952,5064864,5064863,7961950,268099181,7886449,7885930,5008361,5008360,7885928,5064866,3069151,1789338,1789339,3069153,5064869,7885880,5008549,5008550,7886288,11807078,16877086,23137420,16877514,16877513,23137762,16989698,16877127,11807111,11806442,11806441,7885961,5008375,5008374,7885957,11806544,16876357,16877500,16876119,11806379,11806377,16876116,23136316,23137286,255694686,16989699,16876478,11806624,7886002,7886001,11806621,16876471,23136734,23136580,23136404,16876515,16876514,23136639,16876391,16876392,23136643,256161704,23252776,28923619,30554138,39151988,49082107,58299112,71014365,60485763,58480309,47101901,37205371,28681785,21432430,15438654,15438655,21432432,28681788,37141503,37141504,37215137,28690389,28690385,21439743,21439744,28690384,28628170,21389868,15405569,15405571,21389874,19187931,13703670,9385909,6149097,6149098,9385911,13703674,10669298,10669297,15433232,19188051,13703747,9385948,9385947,13703744,19188046,20263865,20263864,27187640,27187641,21647683,15614590,10803557,7138634,7138633,10803554,15614585,21647675,25841643,33644974,37986341,37141487,37141488,38511816,29948211,22585118,16402775,16402777,22585121,29948215,28386906,21168608,255813251,21647829,21647828,268388675,15614866,10803711,7138725,4494640,2700470,1564458,1564459,990778,254248409,4970775,7830987,254807661,4970771,3002352,3002351,254555075,11729789,11729778,11729777,15614814,21647938,21647939,28923645,37463175,47368362,37463125,28923589,21647886,255850299,15614706,10803625,7138672,4494604,2700455,2700456,4494606,7138674,10803629,15614713,17947408,17947572,17947571,24337298,17947602,12717895,8641405,5620017,5620018,8641211,12717712,17947166,17947191,12717501,8641065,5619803,3491193,2073823,1191306,669803,372016,203789,111134,111135,254091037,669821,1191345,2073889,3491318,5620048,8641455,12717756,8641250,5619914,5619913,8641248,12717586,17947287,17946963,17946962,16191595,11255247,7471599,7471598,11255246,16191593,22339577,256401267,48167033,57698944,58636976,47243302,47243303,58636978,71373898,258067654,73232971,60486091,60486092,73232973,86846094,73232981,60486097,60486098,73232982,86846098,100827389,114878188,128774380,114878196,100827398,86846103,73232985,60486099,49082646,49082647,60486102,73232989,86846097,74460703,61677949,50194683,40170861,40170860,50194681,40170866,31485754,31485753,40170864,50194688,61677957,74460715,258828150,74460713,61677956,268970764,60626441,49225235,49225236,60626444,73372245,86985006,100970943,95333235,81274274,81274273,95333234,109588255,123778490,137502658,133916743,260281687,105860972,259665739,77725327,64543313,258411795,60417057,49013883,39084717,30488449,30488448,23075234,16823618,16823619,21923080,25807338,19159851,13681479,9369124,6136904,3839443,2300216,254304729,6136905,9369126,6173074,6173073,254941835,9713012,9713010,9713011,9713017,14117755,19244155,255693355,33711493,25905093,19244154,19244153,25905091,33711490,42629949,53077464,65059871,78338737,92371577,92371576,271579855,130610669,130610670,142999171,139481703,139481702,142999174,129671334,115774650,101729631,87757179,74152984,61372710,49892245,39870122,257055947,61372708,61372777,49892332,49892333,40631525,31916146,24383775,24383774,31916144,40631519,50690427,62210124,75033055,75033054,72557987,72557988,61372760,61372761,61372771,74153029,74153018,72697533,59959710,48567691,38652139,30075688,22695103,16492948,16492951,22695112,30075707,38652173,48567697,59959725,72697559,59959739,59959740,48567744,38652167,38652168,48567731,59959777,59959598,48567586,38652065,30075640,30075639,38652064,48567584,44458466,35083433,26998617,26998616,30075656,256429089,41690993,41690994,36836121,36836122,37926325,37926326,46718742,58090509,58090523,48567831,48567830,258162103,72697739,72697740,86295397,86295402,72697746,59959906,59959907,258785865,100258239,112254035,112254036,100258232,100258231,114288643,100258238,100258237,109588259,95333239,81274276,81274275,95333237,86295218,72697519,72697518,86295216,100258109,100258114,86295226,72697525,59959706,48567689,38652138,30075686,30075685,38652136,48567686,59959700,72697512,86295210,72697516,72697515,86295212,100258104,260628363,141530469,141530451,128172158,128172157,272570821,164440439,152584457,262173277,164440445,164440458,262586112,165953430,176599495,184789280,184789277,184789276,184789279,184789278,175221661,175221662,184789288,193143335,184789284,175221657,175221656,184789282,193143333,200313324,200313325,196536982,273774211,208807706,264178176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13899067, s2 = 14344807, dlinesl.size( ) = 2 s1 = 13899067, s2 = 14344807, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13899067, Dl.E( ) = 40, 1.88e-05 seconds used appending s1 = 1200687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1200687, s2 = 13203492, int(edited[s2]) = 0 s1 = 1200687, s2 = 13203492, d1 = 3, d2 = 11 Dl.O(d1) = 30400949 Dl.O(d2) = 48910789,60306671,61908281,50417912,254605474,24181534,17813205,12611389,8560038,5557053,3441533,2036772,2036770,3441524,5557032,8559999,11097814,7359940,4649127,2800448,1624484,1624487,2800450,4649133,254415996,15335819,15335818,21305041,24085704,17728372,12542651,8502566,5503446,5503448,8502568,12542654,267746724,5503531,5503530,8502415,8502416,12542414,12542424,11103942,7363736,4651291,4651293,7363745,11103954,15995349,17743928,12554890,8539911,5537971,3423400,3423398,5537963,5544940,5544939,8546583,12551816,12551820,17739711,17740263,12552237,8510620,8510621,12552218,8542810,5540525,5540528,8542818,8512598,5511648,3399248,2004010,254276967,5511703,8512690,12555650,17744893,24103446,31606039,34641980,34641981,37032465,31694868,24186659,22665015,16470118,11475570,11475569,13441995,13441993,18865131,17817790,17817793,18865388,18865387,18864668,13441530,9190899,6016549,6016552,9190908,8532496,5530718,3416474,2016918,2016920,2455118,2455116,4104478,5489238,5489241,8488261,8564004,5560687,3445212,254418271,8563991,12540413,12540412,11822035,11822036,11822156,14125933,17724029,24081204,18864606,18864605,25463438,25463437,23041599,16796641,16796640,17724095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1200687, s2 = 13203492, dlinesl.size( ) = 2 s1 = 1200687, s2 = 13203492, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1200687, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7615248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7615248, s2 = 7258021, int(edited[s2]) = 0 s1 = 7615248, s2 = 7258021, d1 = 30, d2 = 28 Dl.O(d1) = 269414168 Dl.O(d2) = 264648339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7615248, s2 = 7258021, dlinesl.size( ) = 38 s1 = 9120610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10236777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1537359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2192155, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14024353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13498419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13498419, s2 = 15256365, int(edited[s2]) = 0 s1 = 13498419, s2 = 15256365, d1 = 9, d2 = 3 Dl.O(d1) = 39043157,30453626,23045150,23045151,30453627,39043152,39043153,39043151 Dl.O(d2) = 19463843,13929362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13498419, s2 = 15256365, dlinesl.size( ) = 12 s1 = 1203120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1203120, s2 = 11656767, int(edited[s2]) = 0 s1 = 1203120, s2 = 11656767, d1 = 0, d2 = 4 Dl.O(d1) = 30454199 Dl.O(d2) = 48965148,258189679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1203120, s2 = 11656767, dlinesl.size( ) = 2 s1 = 1203120, s2 = 11656767, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1203120, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 13301845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8427886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7950522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1539607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7857902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1540074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1540074, s2 = 2851332, int(edited[s2]) = 0 s1 = 1540074, s2 = 2851332, d1 = 4, d2 = 28 Dl.O(d1) = 39087408 Dl.O(d2) = 78414718,65133022,53148001,42697381,33666485,25860186,19203042,19203041,25860185,26700418,19879629,19879628,21927452,29247648,37812305,47734468,59133038,71871229,85456109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1540074, s2 = 2851332, dlinesl.size( ) = 8 s1 = 10343755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8097844, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1204899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1204899, s2 = 14163116, int(edited[s2]) = 0 s1 = 1204899, s2 = 14163116, d1 = 5, d2 = 7 Dl.O(d1) = 16831351,23084166,30497520 Dl.O(d2) = 60426050,60426048,60426047,73172878,86785470,100766248,114818291,128718202,142077409,154716512,166427384,177012678,186374867,194536325,201527031,207410573,212262429,216226593,219512451,222288384,224671895,226110060,223970490,221499861,218617224,215192106,211034246,205946478,199793617,192516160,263463306,174406208,163564641,151684475,138980025,125641764,111826754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1204899, s2 = 14163116, dlinesl.size( ) = 2 s1 = 1204899, s2 = 14163116, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1204899, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15327962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15327962, s2 = 14038832, int(edited[s2]) = 0 s1 = 15327962, s2 = 14038832, d1 = 23, d2 = 32 Dl.O(d1) = 48108639,48089817,38178131,29611370,22261006,22261005,256394965,256395428 Dl.O(d2) = 176696121,166059098,154309639,141657019,128307664,258914936,86450753,269008020,48723262,255591716,22825716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15327962, s2 = 14038832, dlinesl.size( ) = 2 s1 = 15327962, s2 = 14038832, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15327962, Dl.E( ) = 36, 1.5e-05 seconds used appending s1 = 13612413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13272599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1542951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1542951, s2 = 8138895, int(edited[s2]) = 0 s1 = 1542951, s2 = 8138895, d1 = 5, d2 = 9 Dl.O(d1) = 39146083 Dl.O(d2) = 39146084,256347016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6605469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164098, s2 = 7572618, int(edited[s2]) = 0 s1 = 14164098, s2 = 7572618, d1 = 7, d2 = 7 Dl.O(d1) = 257009904,268968299,268240891 Dl.O(d2) = 257009904,268968299,268240891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164098, s2 = 7572618, dlinesl.size( ) = 2 s1 = 14164098, s2 = 7572618, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164098, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8019181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8019181, s2 = 8306827, int(edited[s2]) = 0 s1 = 8019181, s2 = 8306827, d1 = 23, d2 = 30 Dl.O(d1) = 11240465,7461410,4714942,2840392,2840393,254529621,254237337,936398,527683,527682,936396,1646840,2838924,4712481,2943556,1706974,970277,546453,306042,169374,169372,306036,546445,970264,1706950,1162195,1162196,1006871,1006873,1766990,3035689,5017831,7896904,8496724,5498084,254414807,3415951,5530101,268003359,8536408,5534373,3419902,3410513,2012467,2012468,3410514,5523931,8525183,7453991,4709617,2837087,1645812,935844,935845,746702,746690,424361,424359,746729,647160,359091,359092,647168,1153564,2016515,2020673,1993333,1993331,1995285,1140251,750402,750406,936082,936085,567381,567383,354964,354965,639292,1139497,1141286,640226,355411,194793,194792,355406,640215,1138992,1993107,3384183,254282453,2049337,3411973,3033198,3033199,3450200,3732160,5525081,5572695,5517748,3404419,3399616,2004260,1163672,653018,641116,641118,1142923,1999593,1164046,653226,653227,1164050,1995837,1995838,1705921,969720,546156,305888,305887,254126363,1705966,267756163,195311,195310,356452,267756161,663471,1181265,2058698,2039576,254281309,3393597,3439068,4029426,2414542,1397643,1397644,2034359,2034360,3438591,5492708,3383081,1992328,1138522,638775,354710,354709,638770,658354,1172844,1140188,639651,639650,1140196,1995202,1140377,639731,639732,1140366,1140362,639723,639718,1140347,1995460,1160770,1160769,2027552,1166892,1138033,1138034,639513,639511,1139916,1994689,3386328,5491953,3382298,2034231,1165142,1165140,2034227,2046893,3454023,3427801,3427803,5539412,5539411,8541761,5598508,3991189,254462951,6126363,8573084,8573083,8445162,8445161,12475205,17647655,19102422,19102421,25735190,31257624,23772889,19620587,19620586,15754548,10910741,7215895,7215894,7215718,4546453,4546452,7215710,10910442,15754099,12599613,8550414,8550413,12599606,13648637,12561180,8516589,8516590,9346124,9346125,13648662,19116604,17899606,12679585,12679584,12626312,9466428,9466430,13804366,19306424,20900388,20900386,23154483,16893177,16893176,23154481,19221571,19221570,23992163,23992165,24686303,24686302,23154504,16893190,11821421,11821422,16893193,255285886,17830516,17830517,24199722,24155357,256038689,40359748,256638398,33824304,29127713,21820883,15754427,10910671,10910669,15754421,21820875,29127695 Dl.O(d2) = 260063627,114890644,100840578,86859881,73247268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1544560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1544560, s2 = 13377109, int(edited[s2]) = 0 s1 = 1544560, s2 = 13377109, d1 = 6, d2 = 11 Dl.O(d1) = 39173639 Dl.O(d2) = 61912246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1544560, s2 = 13377109, dlinesl.size( ) = 2 s1 = 1544560, s2 = 13377109, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1544560, Dl.E( ) = 44, 1.98e-05 seconds used appending s1 = 6656868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13319319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 473540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7871584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1547246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7572691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1547426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1547426, s2 = 15400028, int(edited[s2]) = 0 s1 = 1547426, s2 = 15400028, d1 = 23, d2 = 111 Dl.O(d1) = 39221722 Dl.O(d2) = 12268294,8284738,8284739,12268298,17408426,21513123,21513121,28774823,37308476,31276526,23791490,23791491,31277275,31365039,25547366,18934689,13499146,13499145,18934687,17913004,15486031,15486030,255839737,37285780,47194374,257452505,58585870,71319350,84893211,271383432,261663865,262663941,184870473,263862381,206422452,264731953,218896495,221749966,218896503,215516605,211426061,206422453,206422454,211426063,215516608,218896506,221749972,265030408,264803558,215516602,218896496,218896500,215516603,211426060,206422453,206422454,211426062,215516606,218896500,218896498,265030412,215516603,264965613,274287852,218896508,218896507,221749973,224198436,224198437,226321492,226321491,226321492,265235906,221749973,224198439,226321495,228170098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1547426, s2 = 15400028, dlinesl.size( ) = 40 s1 = 13201645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13201645, s2 = 14133106, int(edited[s2]) = 0 s1 = 13201645, s2 = 14133106, d1 = 65, d2 = 83 Dl.O(d1) = 18565039,13192589,11853551,11853549,16936515,11853504,7922326,7922324,11853498,16936507,23207494,30630435,23207650,16936611,11853564,7922356,5036652,5036651,7922350,11853559,11853600,11853601,11853613,16936686,23207757,30630234,23207312,23207311,30630231,38555597,30630298,23207363,16936406,11853425,7922282,5036617,3049489,3049488,5036611,7922265,11853392,255523299,30630173,39228017,49154297 Dl.O(d2) = 128856577,142214549,154850207,166554099,273371583,194629910,201608526,207482250,264792415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13201645, s2 = 14133106, dlinesl.size( ) = 50 s1 = 8411340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8411340, s2 = 10339774, int(edited[s2]) = 0 s1 = 8411340, s2 = 10339774, d1 = 15, d2 = 19 Dl.O(d1) = 259992667 Dl.O(d2) = 255137961,11856722,11856743,16941225,23212835,268423915,15475517,10701773,254502283,2674206,2674207,4451449,7070286,10701778,15475530,21477953,28735176,37267297,39468350,39468351,49396824,57762072,256133518,59546411,58562328,47173360,47173361,38522165,38522166,37267275,37267276,47173345,256304954,37267281,47173347,58562316,58947449,64554531,52654917,48860607,38941027,33288858,33288859,25849027,19193962,254113376,33166642,254446146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8411340, s2 = 10339774, dlinesl.size( ) = 20 s1 = 7929828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8015540, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1549582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162722, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1926698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1926698, s2 = 14094341, int(edited[s2]) = 0 s1 = 1926698, s2 = 14094341, d1 = 0, d2 = 0 Dl.O(d1) = 37597991,29050060,21756065,15701700,15701701,21756069,29050070,37598010,47501937,47621609,43255881,43255880,53771824,49853453,39830098,31147946,28329633,28329632,36825211,46707247,39830604,31148450,23661589,17344611,254840691,5320307,3269124,3269123,5320305,8248397,12218060,17344598,23661566,23661571,31148422,31156253,31156254,37598294,37598295,38021237,38021238,47934882,43860939,255890386,53732788,43220837,43220838,48126420,59513912,60237975,48843822,38923439,30337120,22936155,22936154,30337117,38923434,48843821,59326462,72060728,59326469,59326468,59513914,48126426,38216275,38216276,48126428,43220806,43220807,47381636,58768837,71498298,72060290,59325972,59325973,49202364,49202363,50467224,40429268,38216342,29650060,29650061,30679033,39275840,31735059,29649707,22297906,16152774,11222138,7446043,7446042,11222137,16152731,22297847,29649660,31735063,24226515,17854727,254616856,22298076,22298078,22298201,16153004,16153003,22298200,29650037,29649986,29634944,29634943,38201842,29650125,22298294,16153084,16153086,22298297,29650068,22298233,16153026,16152891,11222205,7446078,4704562,4704563,254528669,11222214,7446088,4704567,4704566,7446085,11222212,16152904,16152954,22298135,22298257,16153058,11222318,7446142,4704604,2834096,1644128,934856,526838,526837,934853,1644123,2834087,4704589,7446125,11222282,16153002,268403524,22297857,16152965,255087918,16152994,22298187,29649997,22298150,16152966,11222256,7446111,4704579,4704582,7446114,11222261,16152977,22298170,29650015,38216073,29649749,22297954,16152817,11222163,11222162,16152813,17147125,17147124,23424501,22324237,17441153,17441152,17825889,12621482,12621481,16152807,16152806,22297946,21162776,21162777,23213738,30636651,39234071,30636153,30636154,38263244,31702741,31702742,30206927,30206926,38216395,29650145,29650144,38216393,30904081,30636095,30636097,30205646,23213135,23213136,30635998,254774572,30636130,30636139,23213302,254774570,23213318,23213317,30636148,23213292,16941620,16941619,16583663,11563925,7696572,4870997,2935264,2934824,2934826,4870275,2935256,2935257,4870987,7696557,11563904,7727904,7727906,11272533,11272534,11551961,7686126,7686127,11422833,11610625,7730400,7730399,11610621,15561337,15561338,11557731,7691176,4867082,4867083,7691180,11557744,11556253,7727876,4891655,4891653,7727870,11608033,16412058,14346948,11411257,11411256,12736310,11620423,7738939,7738938,11620421,11620276,7738783,4899855,4899856,7738785,11620277,16406800,11552857,7686895,254363851,2930923,4863959,7686892,7738949,7738948,11556513,11423390,7593284,7593283,11423388,11423622,7742969,4903068,2955168,1713571,1713570,254549315,2954834,1713429,973628,973627,1713426,2954830,2935558,1702408,967724,967727,1702418,2935582,4871479,4871408,4808901,4808904,4813833,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712031,2892853,1678924,955110,955109,1678918,2892836,4799407,7587739,6866646,5965359,3730325,2233349,1295172,1295171,973280,973279,1712731,2953545,4900589,7614317,7614316,7586329,7586328,11415248,16398764,16426831,22610977,22596808,16413661,11429457,7598175,4807589,4807591,4807630,2897508,2897507,4807627,7599617,4898013,2951981,1711945,1711944,2951977,4898009,7736026,7622296,7593659,7593655,7587658,4799337,4799335,254784563,10511477,11273443,7483603,4729330,2849387,2849386,4729328,7483599,11273435,7614418,4817512,2903207,1684188,1684189,254360591,7614427,11414709,7585892,7585893,11414712,11435131,255102329,17766569,255585091,31636996,38216347,256939903,47402574,37494655,28952141,21672059,21672061,22145765,22145766,20076705,17148313,12051949,8102849,8102850,12051953,17148323,23213382,23213383,30636248,29483961,29483960,38047410,38047721,29484284,22146029,16027144,16027142,16026996,11127830,7380849,7380848,11127827,16026990,22145720,29483856,24044458,17692177,12513275,8477230,8477231,12513278,17692185,24044473,31547967,40233904,47960551,49328083,39462290,39462291,31546792,31546793,29483940,22145786,22145785,24044482,31547982,38061030,31546082,24042548,22960850,22960849,30362080,30362084,38948066,257407252,50252422,49160585,49160584,50250832,40230989,40228859,31545980,24042435,24042436,24044512,24042832,24042831,31546370,24044594,24044595,31548091,40230986,31753349,24241437,17865634,17865635,24044491,31547843,24044370,17692129,17688943,17688944,255190497,8476471,5479198,3371677,3371678,5479199,254864055,17690771,24042877,17691879,254864125,8477039,12513040,17691878,17690757,255580079,31546288,24042746,24042715,17690637,254937004,26121524,24040200,17688362,12510093,8474945,8474944,12510092,12512860,17691669,17690640,255579744,11464664,7625731,4824661,4824660,7625728,5478576,3371307,3371306,5478573,3372026,3372027,5479806,8477465,12509449,12509448,17687619,17688632,17688631,17687860,12509631,8474567,8474568,12509633,12510303,8475127,8475128,255190299,17687651,17087146,1250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2,17886789,17886788,12669438,8603803,5590924,5590925,8603807,12644859,8585699,8585697,12644853,17855237,17886826,12669410,8603778,5590910,5590912,8603781,12669416,17886833,255590790,12669547,12669546,17886969,15475303,10701575,10701576,15475307,21477790,28735008,255590750,8603761,8603760,8603974,254420404,3468641,5591031,3468629,3468630,5591033,8603954,8603901,5591002,3468614,2056773,2056774,3468616,5591005,8603908,12669524,17865082,17887026,17887029,12669612,8603975,8603976,12651211,12675432,254874372,17863166,24238249,17887034,12669616,12669587,8603959,5591037,5591038,8603960,12669589,12669473,8605011,5591800,5591799,8605008,8605692,5592276,3469505,3469506,5592278,8605695,5593918,5593921,8608165,12675578,8608179,5593942,3470551,2058114,2058116,3470556,5593945,8608188,12642434,8584033,254282954,12675568,12651247,8608143,5593901,5593902,8588774,8608160,12675574,12651187,8608149,8588801,8588802,8608213,5593971,3470567,3470568,5593973,5581416,3463039,2053741,1178302,661651,661653,1178308,2053749,3463050,2056741,2056740,3468576,5578669,254139902,2058120,2056729,2056728,3468549,5590949,8603831,8608219,8589663,5581435,5580903,3462675,2053480,2053479,3462674,3462626,2053427,1178052,1178054,2053433,2053678,2053677,3460648,3460647,5577797,5581373,5581374,3468771,2056897,1180018,662639,367460,201095,201094,367409,662548,662547,661661,661662,662950,1180444,2056765,3461208,254108182,1179993,1179994,1177426,660986,660987,1177431,661659,366869,366868,367389,367390,662561,1179924,1177575,1177576,1180858,663216,663217,660954,660953,1177396,1177560,1177559,661610,661096,661095,661444,366721,366719,366879,366880,366856,254072808,254081024,662573,367401,201048,201049,366886,200757,109367,109368,200761,201080,109572,109571,200465,109167,59877,59875,109159,109389,200634,109277,59946,33682,19281,19280,33679,59941,109271,200622,109284,109285,109525,60079,33756,254072807,60057,33750,19312,11050,11051,254071153,60063,109491,200704,366436,200437,109515,60074,60073,109383,109384,200771,254072824,661695,1178355,1180363,2057376,2056487,2056488,254090792,1178110,1178111,2053494,3462692,3463026,3463027,5581269,5581270,8589417,12650904,8605029,254080970,5580914,8588844,5592224,5592226,3469475,2057424,2057422,3469473,5578752,254193534,8605623,8605624,12671931,12644478,12644479,12671933,12669947,12644463,8585412,8585410,12644462,254616658,17863126,17863127,17865162,12651303,8589713,8589712,12651302,8604123,5591159,3468706,3468705,5591156,8589520,5581335,3462957,2053661,2053660,3462953,5581327,8589507,12651037,12667250,12667251,8603861,8603860,12669485,17886908,255439347,10994591,10994590,15862651,21953753,25518950,18909252,13477592,9218881,254445889,2262403,1312974 Dl.O(d2) = 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2,17886789,17886788,12669438,8603803,5590924,5590925,8603807,12644859,8585699,8585697,12644853,17855237,17886826,12669410,8603778,5590910,5590912,8603781,12669416,17886833,255590790,12669547,12669546,17886969,15475303,10701575,10701576,15475307,21477790,28735008,255590750,8603761,8603760,8603974,254420404,3468641,5591031,3468629,3468630,5591033,8603954,8603901,5591002,3468614,2056773,2056774,3468616,5591005,8603908,12669524,17865082,17887026,17887029,12669612,8603975,8603976,12651211,12675432,254874372,17863166,24238249,17887034,12669616,12669587,8603959,5591037,5591038,8603960,12669589,12669473,8605011,5591800,5591799,8605008,8605692,5592276,3469505,3469506,5592278,8605695,5593918,5593921,8608165,12675578,8608179,5593942,3470551,2058114,2058116,3470556,5593945,8608188,12642434,8584033,254282954,12675568,12651247,8608143,5593901,5593902,8588774,8608160,12675574,12651187,8608149,8588801,8588802,8608213,5593971,3470567,3470568,5593973,5581416,3463039,2053741,1178302,661651,661653,1178308,2053749,3463050,2056741,2056740,3468576,5578669,254139902,2058120,2056729,2056728,3468549,5590949,8603831,8608219,8589663,5581435,5580903,3462675,2053480,2053479,3462674,3462626,2053427,1178052,1178054,2053433,2053678,2053677,3460648,3460647,5577797,5581373,5581374,3468771,2056897,1180018,662639,367460,201095,201094,367409,662548,662547,661661,661662,662950,1180444,2056765,3461208,254108182,1179993,1179994,1177426,660986,660987,1177431,661659,366869,366868,367389,367390,662561,1179924,1177575,1177576,1180858,663216,663217,660954,660953,1177396,1177560,1177559,661610,661096,661095,661444,366721,366719,366879,366880,366856,254072808,254081024,662573,367401,201048,201049,366886,200757,109367,109368,200761,201080,109572,109571,200465,109167,59877,59875,109159,109389,200634,109277,59946,33682,19281,19280,33679,59941,109271,200622,109284,109285,109525,60079,33756,254072807,60057,33750,19312,11050,11051,254071153,60063,109491,200704,366436,200437,109515,60074,60073,109383,109384,200771,254072824,661695,1178355,1180363,2057376,2056487,2056488,254090792,1178110,1178111,2053494,3462692,3463026,3463027,5581269,5581270,8589417,12650904,8605029,254080970,5580914,8588844,5592224,5592226,3469475,2057424,2057422,3469473,5578752,254193534,8605623,8605624,12671931,12644478,12644479,12671933,12669947,12644463,8585412,8585410,12644462,254616658,17863126,17863127,17865162,12651303,8589713,8589712,12651302,8604123,5591159,3468706,3468705,5591156,8589520,5581335,3462957,2053661,2053660,3462953,5581327,8589507,12651037,12667250,12667251,8603861,8603860,12669485,17886908,255439347,10994591,10994590,15862651,21953753,25518950,18909252,13477592,9218881,254445889,2262403,1312974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1926698, s2 = 14094341, dlinesl.size( ) = 2 s1 = 1926698, s2 = 14094341, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1926698, Dl.E( ) = 2, 1.6e-05 seconds used appending s1 = 10331161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9177523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13282121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1906135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1445584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13200823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13200823, s2 = 7625261, int(edited[s2]) = 0 s1 = 13200823, s2 = 7625261, d1 = 52, d2 = 33 Dl.O(d1) = 11931857,11931855,17008409,11922108,11922111,15653889,255144456,8353191,8353192,254780668,3800605,6074294,9273314,255270279,25592167,30699212 Dl.O(d2) = 269843371 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 1906637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1268604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 765347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9190063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9190063, s2 = 1216132, int(edited[s2]) = 0 s1 = 9190063, s2 = 1216132, d1 = 43, d2 = 34 Dl.O(d1) = 115069743,100998685,258665338,60643240,256852626 Dl.O(d2) = 30717252,255394936,11953533,8001984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9190063, s2 = 1216132, dlinesl.size( ) = 42 s1 = 16298223, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14258651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1182896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7983497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10137340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14914207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7227435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1555238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8327676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8140955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13405391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13405391, s2 = 15446664, int(edited[s2]) = 0 s1 = 13405391, s2 = 15446664, d1 = 20, d2 = 25 Dl.O(d1) = 17088698,17088699,23356945,30781629,39383515,49311261,60713314,73461270,73461271,87078436,87078451,73461287,60713322,49311265,39383517,30781630,30781631,39383519,49311268,60713329,258215307 Dl.O(d2) = 155376743,260349156,129467919,142789345,129467903,115582859,115582860,122023665,107649189,107649187,259973078,126766893,112914305,98926695,93246281,93246282,107649184,122023658,135951213,149175207,155376742,142789358,129467915,129467916,142789360,155376726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13405391, s2 = 15446664, dlinesl.size( ) = 2 s1 = 13405391, s2 = 15446664, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13405391, Dl.E( ) = 32, 1.6e-05 seconds used appending s1 = 7864240, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1556225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1556225, s2 = 11098970, int(edited[s2]) = 0 s1 = 1556225, s2 = 11098970, d1 = 78, d2 = 50 Dl.O(d1) = 39387893,39387894,37703095,34229636,34229635,34562966,26576087,26576086,34562964,43391576,39369881,39369255,30767940,23344795,17772601,255585411,31643230,26577611,19774929,14164226,9737901,9737902,14164228,19774933,23343017,23343016,23345110,19774380,19774382,26576846,26576919,32490610,34565276,34565275,29876475,255476177,16346144,19776521,19776519,26579435 Dl.O(d2) = 258385528,114323290,100292683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1556225, s2 = 11098970, dlinesl.size( ) = 32 s1 = 6522083, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1556536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9378536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1556918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1556918, s2 = 10575017, int(edited[s2]) = 0 s1 = 1556918, s2 = 10575017, d1 = 25, d2 = 19 Dl.O(d1) = 39400656,257028247 Dl.O(d2) = 12995886,8847645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1556918, s2 = 10575017, dlinesl.size( ) = 2 s1 = 1556918, s2 = 10575017, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1556918, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 15054577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054577, s2 = 6607001, int(edited[s2]) = 0 s1 = 15054577, s2 = 6607001, d1 = 9, d2 = 9 Dl.O(d1) = 17329412,17329413,254583798,30220327,22828065,21155981,21155980,28373239,36870141,46749485,258028502,256480676 Dl.O(d2) = 17329412,17329413,254583798,30220327,22828065,21155981,21155980,28373239,36870141,46749485,258028502,256480676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054577, s2 = 6607001, dlinesl.size( ) = 2 s1 = 15054577, s2 = 6607001, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15054577, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 6522274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1913698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1913698, s2 = 14341531, int(edited[s2]) = 0 s1 = 1913698, s2 = 14341531, d1 = 29, d2 = 63 Dl.O(d1) = 49358607,39428932,30824767,30824766 Dl.O(d2) = 268484292,49358603,49358602,60761919,73511081,258378690,113349681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1913698, s2 = 14341531, dlinesl.size( ) = 26 s1 = 7554142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13182393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13182393, s2 = 8006588, int(edited[s2]) = 0 s1 = 13182393, s2 = 8006588, d1 = 5, d2 = 1 Dl.O(d1) = 22867724,16639967,16639966,22867722,17128661,12037600 Dl.O(d2) = 60770252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13182393, s2 = 8006588, dlinesl.size( ) = 2 s1 = 13182393, s2 = 8006588, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13182393, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 1559526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9425232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6500261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8115817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1915142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1915142, s2 = 2610309, int(edited[s2]) = 0 s1 = 1915142, s2 = 2610309, d1 = 0, d2 = 0 Dl.O(d1) = 49351163,39421472,37199233,37199235,37340722,28802721,21536213,15521146,10734493,10734494,15521147,21536216,23387348,17115619,17115197,255534439,30816214,39421473,49351164,258218049,73503149,60787162,49386311,39458179,30853960,23423228,17146169,255536685,30853958,39458177,49386308,60787156,73534665 Dl.O(d2) = 49351163,39421472,37199233,37199235,37340722,28802721,21536213,15521146,10734493,10734494,15521147,21536216,23387348,17115619,17115197,255534439,30816214,39421473,49351164,258218049,73503149,60787162,49386311,39458179,30853960,23423228,17146169,255536685,30853958,39458177,49386308,60787156,73534665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1915142, s2 = 2610309, dlinesl.size( ) = 2 s1 = 1915142, s2 = 2610309, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1915142, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1223218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14481328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14481328, s2 = 9360552, int(edited[s2]) = 0 s1 = 14481328, s2 = 9360552, d1 = 22, d2 = 25 Dl.O(d1) = 112800831,108657180,94369421,80313146,66884068,66884069,54626574,43884189,34612936,33088023,25355454,18773428,13369446,13369445,255657789,25355451,25355452,33088021,42035517,33825212,26007705,19334053,13825799,9482093,6217545,3891584,2330017,1350461,1350459,771654 Dl.O(d2) = 60791303,257032427,30857380,268664957,49390694,60791304,258843641,259356149,73538395,60791303,257032427,258220885,259356149,258107133,256916931,15901968,11024174,10778575,10778576,15581492,21610576,21613030,23151261,16890446,11819228,11819227,16890444,21609835,15580884,10778102,7121485,7121486,10778103,15580885,255044555,7120735,7120733,10777028,10577958,6977755,6977756,10577959,11393527,7569957,7569958,11393529,16371536,21277721,21277720,28494877,28494876,36992341,38624422,38258817,35227782,27133580,27133581,31417078,38241920,37426141,37426142,32111913,255464744,12834931,12834932,15424145,12834951,12834952,18102064,14127599,14127600,19703364,254554880,29819897,22452478,16283470,16283471,22452695,29820053,22452670,22452669,29820050,29820095,22452731,22452729,22452515,16283329,16176499,16176498,21277758,28494923,36832549,29673115,22321780,16176447,11243482,11243483,16176448,22321783,28887100,28887101,33184958,25439751,18843448,18843268,15136499,10439595,6882106,6882105,7463092,11243432,16176381,18843548,18843547,18843556,18843557,18843483,16176393,16176394,18843358,18843382,18843383,255464712,38236072,38295782,37425268,37425269,47333717,58722580,64376515,64376514,64376513,73466616,60718644,49316691,39388944,30786679,23361400,23361399,30786678,39388942,49316688,258838459,73466608,87084086,101080313,260678253,112155124,98192251,84296113,259273913,70744494,58030411,46657856,46657855,36772747,28277091,255378733,10439965,6882357,254327931,254327929,6882356,10439964,15137021,15137022,21073104,28277086,26987161,20097719,20097718,26987160,28277084,28277085,28277083,21073101,21073100,26987156,26987158,20097717,14409639,9910845,6513655,4081602,4081601,6513653,9910841,14409634,20097708,26987148,35070842,35070850,26987154,26987153,35070849,44445229,55289431,44445227,44445222,43871902,34601799,34601800,43871901,34601798,26614447,26614446,34601794,35070846,26987152,20097713,20097712,268548641,20097715,26614425,34601758,43871851,44445228,54614232,43871898,43871897,43871855,35070845,34601783,26614437,268537995,269172999,44445230,44445229,55289431,44445227,44445222,43871902,34601799,34601800,43871903,54614235,66871966,80301319,94357770,108645663,115134746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14481328, s2 = 9360552, dlinesl.size( ) = 10 s1 = 13444699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8198097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657406, s2 = 14163113, int(edited[s2]) = 0 s1 = 11657406, s2 = 14163113, d1 = 11, d2 = 1 Dl.O(d1) = 12511858,17690350,255029060,37194424 Dl.O(d2) = 39467948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657406, s2 = 14163113, dlinesl.size( ) = 2 s1 = 11657406, s2 = 14163113, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657406, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 14530908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14530908, s2 = 5050935, int(edited[s2]) = 0 s1 = 14530908, s2 = 5050935, d1 = 51, d2 = 41 Dl.O(d1) = 36467676,257033069,30864325,255537691,17159411,255985765,39468282,255151020,254574530,17575225,15464363,15304999,10950346,7246890,7246889,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,11543519,12666768,11543896,8376696,8376695,8483501,8483502,11619249,11619248,16651772,22880133 Dl.O(d2) = 209555826,209555827,214010085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14530908, s2 = 5050935, dlinesl.size( ) = 14 s1 = 7968618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7986642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7986642, s2 = 14075279, int(edited[s2]) = 0 s1 = 7986642, s2 = 14075279, d1 = 59, d2 = 56 Dl.O(d1) = 258534000,5402314,3321499,1953696,1953698,1116192,626396,348040,190838,104196,104195,57313,57311,104244,190945,348266,626814,1117050,1955451,3324701,5407709,4874465,4874466,7701919,6048986,6048987,9235909,10526462,10526461,12403571,17564078,23907829,31400385,268146854,17548274,12378329,8364516,8364515,12378326,13513404,9246423,9246424,11169094,254526325,4682064,7409846,11169093,16082848,12397889,12397888,12065250,254447364,3171110,1856395,1856397,3171119,5197624,8112916,7902704,5023509,5023513,6054845,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12436172,10693564,7064740,4448104,4448103,7064735,7957574,11899214,268242681,18968412,255391564,8380981,254404207,2467992,1426547,1426548,2467994,4125539,6584609,10018132,14558758,14558761,20288791,23438399,17546777,17546776,254447342,15488215,15488216,12064832,12064831,17161249,23436302 Dl.O(d2) = 59694660,256954209,255914851,16289415,254780943,2871562,2871561,4763555,267886899,254514027,2911201,2911200,4831322,4831312,4831315,4831366,7256390,4576524,4576526,7256412,7137901,4493981,2699998,2699996,4493973,7135217,7135215,7164981,7164980,7316045,7316046,7245324,4568032,4568034,7137140,4493424,4493427,7132558,10795383,15604349,254769107,4683385,2821774,1637033,930842,893061,503910,282591,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570889,2711712,4512567,4512068,4512070,7164037,5099509,5099512,7712154,7163422,5099629,3095342,2861541,2861542,1705429,969441,969442,1705435,2940977,4513623,4513622,4747310,4747312,4862617,7684962,11550734,11311341,7510038,7510039,11311343,16205761,22357880,255807878,21692227,15652072,15652071,15919494,15919490,11041833,11041834,15919492,17292748,16085655,11312427,11312430,12193527,12193528,16611737,15606394,10797141,10797143,13375966,9142293,9142292,12152417,8182892,5252671,3209710,3209711,5252675,8182901,8314438,8314437,12309667,17434517,17057282,11966229,11966228,10272525,10272527,14936454,10797276,10797274,10793400,10793401,7165042,7165044,10838730,12152454,17273159,16180603,11246894,7465567,5455451,3353892,1971659,1971660,254403375,1951413,1114952,1114951,1951412,3317115,5394420,7241434,10943465,7994040,5088717,5088718,7907795,5026705,3042640,3042639,5026703,7723597,7723598,11602318,16632774,22858777,21870912,15796890,10945200,255432473,29181739,35048372,26967459,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141858,24586133,32172057,257131453,62726793,257099488,58563309,257682790,74766962,61967836,50473358,47762457,37840095,29273741,29273743,37840105,47475765,48503104,40367919,31673323,29533588,22190566,21281997,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741900,40435033,37560634,29014170,29014173,37560641,37560672,31742113,24232348,17858798,12647002,8586948,5579749,5579745,8586932,12646973,17858750,24232289,31742039,40436215,39759097,39759095,47480261,39784667,31105511,31105509,31746890,39215045,38892655,30306805,22907528,22205804,22205805,16250485,16250483,21749760,21749763,29042419,37546539,37556889,29010686,21731981,15684255,15684257,21731991,24232226,22906566,22906568,30305732,29001053,21715743,21715740,21726564,21726561,29014190,21730806,21730802,21734575,21734572,29024318,21752456,15699141,15699143,21732964,29019183,22675662,22675661,30051576,31751694,29025781,21735777,21735779,29025788,37559551,29013225,29012450,21725216,15679598,15679600,21725224,21741537,21741538,29032911,37580170,37586432,37586433,29042600,29042566,21749911,21749913,29032488,29032489,37268475,28736463,21479176,15476466,15476465,21479174,255949013,30307755,38893440,47492244,256357004,29035666,21743912,21743911,17858380,255591175,17858351,15684079,10857819,255051597,21731701,18163168,12880989,12880988,18163164,16675318,11639484,7754389,4911012,4911013,7754392,10865049,15694921,21746711,21747984,15695835,15695836,21747989,15696062,10865730,7184058,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,5244574,3203219,1875703,1070047,601327,334929,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,601435,1070257,1091629,612878,340851,187061,187059,340845,612866,1091600,1911461,3254339,5290977,254393511,1892739,1080154,606684,337598,185460,185462,337605,517295,603674,603043,603044,1073312,1873277,1068555,1068554,1073553,1068382,1068381,606213,337353,185333,101404,55862,55861,101398,185321,337324,606157,1079178,1891158,3222043,3222042,3226101,1891358,1875427,1069849,601219,334883,184175,100902,55641,55638,100895,184165,334865,601181,915615,516653,516656,915622,915931,915928,1609846,1879340,3208883,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7986642, s2 = 14075279, dlinesl.size( ) = 54 s1 = 1560980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168617, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10140329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10140329, s2 = 7083349, int(edited[s2]) = 0 s1 = 10140329, s2 = 7083349, d1 = 1, d2 = 1 Dl.O(d1) = 15821039,10964139,7257448,7257449,10964142,15821048,21900285,29214510,23282587,23282589,21126227,21126228,28338475,29380088,22049740,22049739,15947075,15946557,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7706825,4877528,2938974,1704266,1704264,2938966,3152863,5170882,8075911,12016801,16895965,16601376,16601375,12342780,8338685,5382141,3309649,1947053,1112247,624133,346849,190196,190199,346863,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,254705403,6806100,10338952,6816335,4275546,4275545,5945638,6821771,4279420,267879011,6767017,4240956,4240957,6767019,6798967,6798968,6772466,4244899,4244898,4259816,2558587,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1467853,1467856,2225517,1290913,736877,418878,418879,736880,1290917,2225521,3716568,5939883,6790129,6790128,6791794,9058191,9058192,13273291,9060868,5924423,3704546,2218730,2218731,3704548,3715117,2224697,2224699,3715126,3715144,3715142,4854612,7672314,5938811,3713433,3713434,4233847,2531425,2531426,4233849,6756425,10280146,9064688,8179060,5248603,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462641,2538397,3467592,2056111,1179509,662253,367154,200892,109444,60035,60033,109439,200873,367113,662149,1179290,2055680,3466742,5587953,8599629,6748586,4228671,4228673,6389598,6389604,4010028,4010029,6389610,4277879,2557704,2557706,3464685,2054666,1178827,1178826,1178881,661963,367033,367034,367040,367041,661978,1178920,2054899,3465222,4245506,4245508,5948168,3719808,3719812,5944032,5944034,3716929,3716927,5588054,6433259,5217121,5217122,5211177,3179324,1861045,1858978,1858980,3175580,1859330,1859331,3176188,5206051,8126108,12084110,17185819,23465404,30898913,257617433,73588558,259472513,115290284,129218856,142590331,142590332,262317149,177454434,263607865,201809694,207651077,212467137,216404374,219668882,222425944,224792643,226847209,228638786,230214209,231613278,274671468,235985201,236843257,237622916,238331563,238976491,239569702,240118083,240626377,241097734,241535195,267094139,242661601,242985104,243256355,267130106,241896441,241486531,241044499,240568026,240054935,239501387,238901467 Dl.O(d2) = 15821039,10964139,7257448,7257449,10964142,15821048,21900285,29214510,23282587,23282589,21126227,21126228,28338475,29380088,22049740,22049739,15947075,15946557,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7706825,4877528,2938974,1704266,1704264,2938966,3152863,5170882,8075911,12016801,16895965,16601376,16601375,12342780,8338685,5382141,3309649,1947053,1112247,624133,346849,190196,190199,346863,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,254705403,6806100,10338952,6816335,4275546,4275545,5945638,6821771,4279420,267879011,6767017,4240956,4240957,6767019,6798967,6798968,6772466,4244899,4244898,4259816,2558587,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1467853,1467856,2225517,1290913,736877,418878,418879,736880,1290917,2225521,3716568,5939883,6790129,6790128,6791794,9058191,9058192,13273291,9060868,5924423,3704546,2218730,2218731,3704548,3715117,2224697,2224699,3715126,3715144,3715142,4854612,7672314,5938811,3713433,3713434,4233847,2531425,2531426,4233849,6756425,10280146,9064688,8179060,5248603,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462641,2538397,3467592,2056111,1179509,662253,367154,200892,109444,60035,60033,109439,200873,367113,662149,1179290,2055680,3466742,5587953,8599629,6748586,4228671,4228673,6389598,6389604,4010028,4010029,6389610,4277879,2557704,2557706,3464685,2054666,1178827,1178826,1178881,661963,367033,367034,367040,367041,661978,1178920,2054899,3465222,4245506,4245508,5948168,3719808,3719812,5944032,5944034,3716929,3716927,5588054,6433259,5217121,5217122,5211177,3179324,1861045,1858978,1858980,3175580,1859330,1859331,3176188,5206051,8126108,12084110,17185819,23465404,30898913,257617433,73588558,259472513,115290284,129218856,142590331,142590332,262317149,177454434,263607865,201809694,207651077,212467137,216404374,219668882,222425944,224792643,226847209,228638786,230214209,231613278,274671468,235985201,236843257,237622916,238331563,238976491,239569702,240118083,240626377,241097734,241535195,267094139,242661601,242985104,243256355,267130106,241896441,241486531,241044499,240568026,240054935,239501387,238901467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140329, s2 = 7083349, dlinesl.size( ) = 2 s1 = 10140329, s2 = 7083349, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10140329, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1225471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1225471, s2 = 7924354, int(edited[s2]) = 0 s1 = 1225471, s2 = 7924354, d1 = 4, d2 = 8 Dl.O(d1) = 30899181 Dl.O(d2) = 61397643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1225471, s2 = 7924354, dlinesl.size( ) = 2 s1 = 1225471, s2 = 7924354, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1225471, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 6522764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8177210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7886553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7886553, s2 = 11476592, int(edited[s2]) = 0 s1 = 7886553, s2 = 11476592, d1 = 285, d2 = 251 Dl.O(d1) = 14936852,10272846,6767397,254706219,8131205,5209496,5209499,6851869,6851870,10346350,10387169,255358553,254704427,6749930,9081856,5939866,254362600,2224097,3714159,4242627,4242625,6762707,4238133,4238132,6762703,6794780,4260378,4260376,4249895,4249894,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,5248604,8179048,5585442,3465281,2054935,1178938,661986,367044,367047,661997,1178954,2054970,3465341,2055008,1178969,662002,662003,1178975,2055023,3178964,3178965,5210605,8132917,12093559,10281239,6757254,4234378,4234379,6757257,5925199,3705000,3704999,5925193,9061869,13277256,9071506,8595522,8595523,6824955,4281621,2559915,2559917,2538117,2538116,4245109,5939013,3722195,2228736,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,1062029,1861068,3179307,5211161,255541819 Dl.O(d2) = 218731806,265163161,221239832,218322395,274180690,211231633,206205239 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6522926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6522926, s2 = 11266820, int(edited[s2]) = 0 s1 = 6522926, s2 = 11266820, d1 = 36, d2 = 41 Dl.O(d1) = 255541989 Dl.O(d2) = 260380594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6522926, s2 = 11266820, dlinesl.size( ) = 28 s1 = 10348484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1793328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1793328, s2 = 6555586, int(edited[s2]) = 0 s1 = 1793328, s2 = 6555586, d1 = 96, d2 = 116 Dl.O(d1) = 47116589,47116590,58494972,71216825,73975776,61197497,49718939,39700273,31023218,31023216 Dl.O(d2) = 256385777,22996234,16757091,16757090,22996232,16869899,15475849,10702024,10702023,10702032,15475862,254548706,23393907,29503579,38066753,30599554,23180849,16915828,16915830,254547982,21534514,15519931,15519930,14090326,14090327,19653347,26387775,34264960,43364675,37338826,28800797,21534519,21534518,28800796,37338825,47248824,47248825,255100182,28800796,37338824,255920450,20157890,14461065,9949128,9949127,14461062,20157886,20169798,255576842,14471062,14471063,20169786,27063975,27108776,20208098,20208099,27108778,35198576,35198577,28640220,28640221,37155924,47046738,58421596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1793328, s2 = 6555586, dlinesl.size( ) = 36 s1 = 14162416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8079588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346696, s2 = 6569363, int(edited[s2]) = 0 s1 = 10346696, s2 = 6569363, d1 = 6, d2 = 6 Dl.O(d1) = 213350254,208732338,203110589,196397157,188546191,179531598,169282865,157856643,145457611,132229085,118413174,104253847,90119899,76304631,63282336,51563855,41341653,32494178,24852272,18355958,18355959,24357660,17963344,12729543,8649678,8649677,8875067,5786802,3607194,3607195,5786803,8875069,5786812,3607199,2153211,1245581,254195223,1192126,670417,372453,204013,204011,372447,254140843,2075022,3492879,5622172,8644348,12721756,17952541,24343375,31865927,40567801,50609081,62108046,74912069,88550640,102557156,116655962,130494276,143818126,156339865,167918107,178344012,187545130,195554502,202405256,208162849,273546230,200927291,193847056,263543282,176123449,176123450,185587925,181516681,260593026,259375146,121132323,106864243,92545445,78499784,65211606,53223780,42773102,270025483,54589011,58131880,46764209,46764210,53912978,46856492,36977931,255454792,14169405,14169406,19782164,26586289,24141765,24141764,24141758,22262160,16121966,16121964,22196677,16067921,16067922,22196684,29539948,27272188,27272189,23563402,17252369,12132702,8162826,8162825,12132695,17252353,23563374,268461226,256067210,61225323,74006322,87610575,101577611,115617792,129502584,142819537,155401180 Dl.O(d2) = 213350254,208732338,203110589,196397157,188546191,179531598,169282865,157856643,145457611,132229085,118413174,104253847,90119899,76304631,63282336,51563855,41341653,32494178,24852272,18355958,18355959,24357660,17963344,12729543,8649678,8649677,8875067,5786802,3607194,3607195,5786803,8875069,5786812,3607199,2153211,1245581,254195223,1192126,670417,372453,204013,204011,372447,254140843,2075022,3492879,5622172,8644348,12721756,17952541,24343375,31865927,40567801,50609081,62108046,74912069,88550640,102557156,116655962,130494276,143818126,156339865,167918107,178344012,187545130,195554502,202405256,208162849,273546230,200927291,193847056,263543282,176123449,176123450,185587925,181516681,260593026,259375146,121132323,106864243,92545445,78499784,65211606,53223780,42773102,270025483,54589011,58131880,46764209,46764210,53912978,46856492,36977931,255454792,14169405,14169406,19782164,26586289,24141765,24141764,24141758,22262160,16121966,16121964,22196677,16067921,16067922,22196684,29539948,27272188,27272189,23563402,17252369,12132702,8162826,8162825,12132695,17252353,23563374,268461226,256067210,61225323,74006322,87610575,101577611,115617792,129502584,142819537,155401180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346696, s2 = 6569363, dlinesl.size( ) = 2 s1 = 10346696, s2 = 6569363, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10346696, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 448657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10150065, s2 = 13403360, int(edited[s2]) = 0 s1 = 10150065, s2 = 13403360, d1 = 16, d2 = 14 Dl.O(d1) = 256499251,255545683,12140601 Dl.O(d2) = 39733476,49752089,61231217,59509005,48121510,38211081,29644325,29644324,255900789,16147983,11218634,7443829,4703347,4703348,7443833,9738788,6404039,6404038,7445752,7751808,7751809,11635886,16670658,255462415,11220259,8312292,5363537,5363538 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1567060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1567060, s2 = 16075950, int(edited[s2]) = 0 s1 = 1567060, s2 = 16075950, d1 = 61, d2 = 63 Dl.O(d1) = 38110430,39740862,31062958,23579228,17267456,12146874,12146875,17267458,23579231,17267932,17267933,255809366,22869128,16641253,16641254,19665795,16575734,11556752,11556749,16575731,13531625,11138821,11138820,11416712,11416713,15509125,10726013,10726012,9690455,6373963,3999533,2396947,2396945,2902306,2902308,4816057,7612317,7086657,4461885,2680534,1552728,1552727,2680526,3999061,2396717,2396716,3999054,6372943,254794086,11611378,11611375,16643431,255101126,37032091,34266971,34266972,34268204,38869681,30283867,22886072,16657338,16657339,22582881,16400386,16400387,12031578,254538300,3161820,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,10454536,15159469,14093397,14093399,19661627,16704244,11664167,11664169,267871626,19817613,14195562,14195563,19817614,22798870,22798869,30188531,27182496,20259818,14536013,14536012,16162126,16162125,12586130,8538492,5536545,5536546,8538495,11340227,11340226,15588246,15588243,20341988,21618294,21618295,25303190,20351838,14608284,14608283,20351835,27286966,27183899,20261205,19049515,19049514,20339790,20339789,15590639,15590640,254642788,18698092,25270002,28895299,21619683,15589460,15589459,21619680,28033008,35403979,27277909,20342207,20342205,20343435,14601036,14601037,20343438,20186975,20186976,22725315,16520062,14947615,14947616,20848023,267878802,36553389,29833611,22466972,16298994,11340615,7536204,4767153,2873653,2873654,4767157,7536213,11340631,16299020,22466989,29833624,268092478,59702923,72438984,256977050 Dl.O(d2) = 7306176,11031394,11031465,11031466,7306558,7306557,11031868,11031267,7306084,7306085,11031270,15909849,11031847,7306546,4610778,4610779,7306551,11031858,11938982,7990299,7990298,7306734,7306735,11032103,15910774,17105219,12019508,12019507,15909925,15910765,11032042,11032043,15910770,22012333,29343398,30698953,29343872,22011924,15910391,11031713,7306429,7306430,11031718,15910395,22011928,22011733,22011734,29343706,22012464,22012463,29343529,34593644,26606490,19799292,15909992,11031370,11031371,15909996,22011509,22011351,15910539,15910540,15910187,11031531,11031530,15910183,17024041,15910017,11031385,11031384,15910013,15910235,22011600,29343552,22011952,15910429,15910430,22011954,22012322,15910761,15910763,22012173,29343560,22011608,15910080,11031437,7306422,7306423,11031700,11032106,11032107,15910383,11031708,11031703,11031704,15910290,22011808,22011888,22011399,15909888,15909887,22011342,15909838,15909837,14182000,9749453,9749454,14182004,19799297,16463821,16463819,22656989,22011374,15909860,15909856,22011364,28732700,37264913,36837059,36837044,36837043,39168650,30570652,23153112,16892069,16892070,23153114,22008219,22008220,22388840,29748770,37908502,29748747,29748748,38317729,48227229,59613239,72346881,270843493,99895377,113913903,127788334,141144982,153817882,165599001,176274750,261203498,142547275,129170618,115239454,101161906,101161905,87163901,87163900,87163904,73545447,60798366,60798365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1567060, s2 = 16075950, dlinesl.size( ) = 2 s1 = 1567060, s2 = 16075950, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1567060, Dl.E( ) = 64, 2.22e-05 seconds used appending s1 = 7985438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9121667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1568050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1568050, s2 = 7636258, int(edited[s2]) = 0 s1 = 1568050, s2 = 7636258, d1 = 9, d2 = 17 Dl.O(d1) = 39755353 Dl.O(d2) = 270340019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1568050, s2 = 7636258, dlinesl.size( ) = 2 s1 = 1568050, s2 = 7636258, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1568050, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 1570152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1570152, s2 = 8284554, int(edited[s2]) = 0 s1 = 1570152, s2 = 8284554, d1 = 8, d2 = 32 Dl.O(d1) = 39799817 Dl.O(d2) = 97774223,258622973,57696010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1570152, s2 = 8284554, dlinesl.size( ) = 20 s1 = 1232418, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1570569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1570569, s2 = 15973435, int(edited[s2]) = 0 s1 = 1570569, s2 = 15973435, d1 = 15, d2 = 84 Dl.O(d1) = 39813048 Dl.O(d2) = 7241063,4565144,4565145,2745572,2745573,254514427,10943035,15794527,15795880,10944313,7242131,4565844,4565843,7242129,8297606,8297607,8297608,5352852,3289817,1940794,1108631,622170,622171,1101732,618345,618346,1101735,1102068,1102069,1927280,1927281,1927335,1927334,3276676,1940268,1108302,1108301,1107564,621528,345405,345406,621534,345662,345663,621994,1108324,1940307,1927475,1108500,1108499,1940598,3299475,5363500,8312234,255165545,10757440,7107262,4474616,2688235,1557137,1557138,2688237,1932399,1932400,3285974,4713389,2839511,2839509,1932688,1932689,3286563,5347775,5873742,5873743,8996773,7453463,7453464,7460065,4713925,2839770,2839769,4709906,2837321,2837320,4709903,7454347,11233143,254611943,5546830,7107235,255042869,21576622,28848343,22311913,16165878,11233235,7454410,4709954,4709955,7454413,11233240,12294829,16163576,12312398,12312397,16172589,254844593,5346802,5346801,7451810,4708239,4708238,5346688,8288098,12272857,12272855,12245898,12245900,8504800,8504801,8546061,5544323,5544322,8546059,11232185,7453618,4709380,2836961,2836959,4709387,7453644,5346877,3285985,3285986,4712582,2838991,1646871,1645773,935825,527387,295492,163445,89818,89817,163439,295478,527355,935756,1645634,2836762,4709018,7453084,7451704,7451703,11230040,7453253,7453255,11231871,8496684,5498053,5498054,8496688,7899603,5020875,5020873,7453860,4709525,2837029,2837028,3394163,3394162,5498072,3387825,3387824,5498064,4709305,2836918,254353617,7453503,11232180,8519155,5517374,5517373,8519152,11232514,11232517,16165196,16887743,11816615,11816614,9655713,6349171,6349173,8518298,5516535,5516538,8518307,12563171,12571704,8525858,8525856,7452694,4708738,4708736,7452690,8569492,9191713,8582019,5576200,5553730,3438085,2033968,2033969,3394452,5505751,5508454,8508023,5553509,3437958,2033899,2033898,3437953,5553502,5548176,5548175,5553705,5553706,8541896,5539629,3424884,3424882,5505505,3394283,2000565,2000564,3394276,5505492,8505090,12545908,8529677,8505115,8505116,12274002,8288833,5347220,5347218,8288826,12273995,12585385,8538770,5565131,3448762,2042492,2042490,3448753,5565117,4884693,4884692,5487922,8487017,7718102,7717897,7717896,7717910,7453563,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,2061171,1182902,664436,368575,368574,254194069,3474304,5597811,8612455,12531512,11817349,7895381,5493224,3383488,1992645,1138722,638879,638882,1138734,1164481,1182116,2030433,1162777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1570569, s2 = 15973435, dlinesl.size( ) = 2 s1 = 1570569, s2 = 15973435, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1570569, Dl.E( ) = 88, 3e-05 seconds used appending s1 = 14163662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163662, s2 = 9662825, int(edited[s2]) = 0 s1 = 14163662, s2 = 9662825, d1 = 0, d2 = 0 Dl.O(d1) = 5593420,3470189,3470188,5593419,8607469,12674579,16574579,16574576,11714386,7816114,4958689,2994199,1738728,1738725,2994010,4958701,4958995,4958535,2994904,2994906,2994271,2994272,2994122,1738673,988035,555877,310895,171877,171876,310894,555873,555985,555983,988244,1739026,1738947,988293,988292,988315,1739124,1739253,1739252,2994744,1739115,988308,556032,556033,988312,1738876,988159,988153,555936,310917,254127525,988143,988145,1738843,2994376,4959170,4959623,4959876,2994946,2994947,4959879,4959552,2994686,1739067,988275,556016,556017,988278,1739073,2994701,4959577,254806305,4959164,4959165,7816721,8460086,8460085,12490851,17663903,23001996,28810013,24010867,255510165,11716161,7817523,4959796,2994889,2994888,254553999,11716153,16763585,16763621,23003227,30406617,23001563,23001564,23002129,23002130,16762674,11715378,7816926,4959291,2994461,1738904,988173,988172,1738903,2994460,4959289,7816921,11715372,11715413,11715414,11715279,11715280,16762544,23002126,23002128,16762650,11715356,11715357,16762653,23002384,23002364,16762636,16762637,11715383,11715380,16762675,23002400,30407383,23002424,16762708,16762709,23002426,23002450,23002285,21222445,21222446,28449023,256846597,37724906,31507974,24008371,23002181,16762467,11715215,11715214,16762465,255954317,30526620,23108808,23108809,23811754,17477899,17477898,23002173,23002172,30407195,30407352,24273667,24273665,31297705,30361361,24261188,24261189,23002169,16762456,11715208,11715209,12672474,17069553,17069516,17069517,17662148,12489703,8459358,5465888,5465889,8459364,12489713,17662165,24008405,21856225,15784549,10935048,7235259,7235258,10935043,15784541,21856213,29164992,23335772,23335770,30646851,24261206,17893872,12674872,12674873,17893877,24273678,30407423,23002447,23002446,30407420,30407345,30407346,30655659,30655660,31297699,39359324,38996459,255203410,30758410,254939286,33775388,25965626,19299499,267760852,6204311,6204310,9462376,6204523,3883466,2325440,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,9413661,9462923,9462920,13799386,19300092,255396236,13798913,13798911,10963077,7256835,7256837,10963083,13112155,267805096,15628960,15819518,21898182,18753466,18753465,25332764,25355694,18773664,18773662,18893018,21336435,15875258,15875257,18751499,13350273,12796041,8699716,5662705,5662709,8699732,6023030,6023033,9199371,9199369,13353386,12816632,12816629,254646004,13365244,12796326,8699934,8699933,12796324,254316186,18752604,20106430,14506617,9982135,6560894,6560893,254689946,19183894,19183895,18769463,13365854,9134573,9134574,13365857,18769465,18876749,25478511,21967522,15873609,11002414,7283279,5103250,5103253,8014926,11971037,12740424,12740425,11000558,254729674,18768246,254975904,33061832,31033688,23552201,17243866,12126517,12126514,17243857,23552190,21057114,21057115,22396414,28257011,21056150,15124617,10431962,10431963,15124621,16110803,22248410,22248367,18891815,13462907,9206578,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,1487607,841718,474705,474706,841723,1487619,2582081,4317328,4221557,4221559,6737471,6737469,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,28100296,21049708,15119795,15119792,17431411,17431408,23758630,28253036,28253035,28250093,21049785,21049784,21052247,28249656,21049390,15119560,10428719,6875615,6875618,10428730,6877753,4317348,4317347,6877749,10428368,10431389,10431388,10431577,10431576,15124049,21054840,20807229,20807228,15125137,10432330,10432329,15125132,21056822,27970227,27970228,21049463,15119615,10428750,6875627,6875628,10428754,15119623,21049454,28249123,268405312,36571686,36745050,36745654,36745656,28258092,21057068,21049737,15119814,10428883,6875710,4316235,2581526,1487326,841580,841566,841565,1487297,2581476,4316144,6875547,10428589,10430037,6876320,4316562,4316563,4316574,4316596,6876396,10430166,15121896,13902435,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608721,18079978,24508884,27969312,27969369,20806406,14911533,14911534,10253472,6737375,4221507,2524104,2524105,3819295,3819296,6104090,9318435,13608642,19062612,25686366,28256026,21709271,15667344,15667343,21709266,23773534,17444370,12296631,12296630,10428124,10428123,10429291,6876376,4316589,4316586,6876368,10430130,15121843,21052499,24513882,24513883,32086757,32086756,28253153,28253129,21052621,15121939,15121936,20806355,14911503,10253204,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080876,15120889,10429558,6876065,6876064,10429553,15120876,21051174,15125244,15125245,21056995,28257987,33477948,25704622,19078072,19078071,18079876,12818068,12818067,12818119,8715298,5673289,3528828,2100159,1209218,681921,681922,1209222,2100168,3528848,5673331,5673621,3528978,3528981,5673629,8715924,12819272,18081780,18446646,18084508,18082747,12819862,12819865,18082758,18083395,18083393,18083414,18083427,18083426,24513278,21051120,15120848,15120849,21051127,26994435,20103739,14414199,14414202,20103750,20103791,20103790,20103762,14414205,9913421,9913422,10367380,6829953,4284970,4284971,6829962,10367402,8715236,5673257,5673255,8715230,12817990,10846168,10846169,15667595,21709651,24511134,24511132,19071836,13615562,9323102,9323101,12820988,8716897,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095910,18080304,12818419,12818418,255014568,15530589,15530590,13677378,9366359,9366360,13677381,18080415,12818429,12818427,12820196,12820197,10605027,10605025,15351479,17793040,17793042,24160428,31670042,32371096,24752721,24512897,18083110,13620404,9326508,9326506,13620397,15040113,10367473,6830002,4284988,2561861,2561860,4284981,6829985,10367444,15040062,20948728,28126505,36600138,46466928,42286592,33306357,25544357,18931375,18931374,23646439,31134201,39816778,49840301,61323555,74106611,87712761,101686517,101686513,87712759,87712760,101686516,115731266,260500476,259279166,61970120,61970119,258652402,50476651,40439814,256838910,24235123,17860848,12648220,8587636,8587637,12648222,255591409,24235124,27282460,20347040,14604187,14604188,254709666,18666630,13274861,9059612,6753285,6753286,10049141,6603489,6603488,10049140,14604190,20347044,20347042,20347043,26384164,21927641,15841248,15841249,17288375,15772912,15772913,15772940,15772939,21842701,26628860,19817572,14195531,9758489,6416371,6416372,9758491,14195535,255099590,33022690,33022689,29173858,29173857,29720107,26385998,19654758,14088164,14088159,11546694,7682162,4860916,4860913,7682150,11546669,16564557,12728752,12728751,17962347,19665124,21103995,28314297,34272173,30597878,23178810,16913944,11837170,9691872,6374719,4860881,4860883,7682095,11546560,9693887,6375798,4000398,4000401,6375804,6375810,6375812,9693912,14094224,14096479,19658438,26392766,34268839,28314965,21104822,21104821,22582539,23392749,19029847,13583272,13583271,12029621,12029620,14093085,14093084,14093088,11102318,11102317,15992975,254074804,7211840,7211839,7581427,7581426,11409322,16393056,22576082,254079140,21863836,254126608,28735586,22126074,16011554,11116457,11116459,16011558,16398844,21401221,254794278,15980057,21482272,28238653,28238652,26397454,26397453,21468003,16704198,16704199,22939731,30340983,23179613,23179614,26387877,26387876,34265031,28067865,20896702,20896703,28067867,30824625,30824624,268379088,31745470,34637506,43910641,256304854,66910315,66910316,64192509,52342438,42003511,33059949,25330799,25330800,20347627,20347628,20136762,14442705,9935231,9935230,8854119,5770799,5770797,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496171,3592387,5626822,4092009,4092011,6516305,4082980,3876965,3876966,6194216,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653816,254318305,1423086,1423087,2461934,4115988,6570450,9997357,254757507,7284632,10620839,14419809,255254877,9386106,254453631,1337872,1337871,2305582,3847824,254663021,12803893,12803894,18059802,24482090,256571539,35083064,26998327,20107864,14418271,14418270,13349594,13349593,18750918,17280486,12159742,8190170,5259646,3215230,1883623 Dl.O(d2) = 5593420,3470189,3470188,5593419,8607469,12674579,16574579,16574576,11714386,7816114,4958689,2994199,1738728,1738725,2994010,4958701,4958995,4958535,2994904,2994906,2994271,2994272,2994122,1738673,988035,555877,310895,171877,171876,310894,555873,555985,555983,988244,1739026,1738947,988293,988292,988315,1739124,1739253,1739252,2994744,1739115,988308,556032,556033,988312,1738876,988159,988153,555936,310917,254127525,988143,988145,1738843,2994376,4959170,4959623,4959876,2994946,2994947,4959879,4959552,2994686,1739067,988275,556016,556017,988278,1739073,2994701,4959577,254806305,4959164,4959165,7816721,8460086,8460085,12490851,17663903,23001996,28810013,24010867,255510165,11716161,7817523,4959796,2994889,2994888,254553999,11716153,16763585,16763621,23003227,30406617,23001563,23001564,23002129,23002130,16762674,11715378,7816926,4959291,2994461,1738904,988173,988172,1738903,2994460,4959289,7816921,11715372,11715413,11715414,11715279,11715280,16762544,23002126,23002128,16762650,11715356,11715357,16762653,23002384,23002364,16762636,16762637,11715383,11715380,16762675,23002400,30407383,23002424,16762708,16762709,23002426,23002450,23002285,21222445,21222446,28449023,256846597,37724906,31507974,24008371,23002181,16762467,11715215,11715214,16762465,255954317,30526620,23108808,23108809,23811754,17477899,17477898,23002173,23002172,30407195,30407352,24273667,24273665,31297705,30361361,24261188,24261189,23002169,16762456,11715208,11715209,12672474,17069553,17069516,17069517,17662148,12489703,8459358,5465888,5465889,8459364,12489713,17662165,24008405,21856225,15784549,10935048,7235259,7235258,10935043,15784541,21856213,29164992,23335772,23335770,30646851,24261206,17893872,12674872,12674873,17893877,24273678,30407423,23002447,23002446,30407420,30407345,30407346,30655659,30655660,31297699,39359324,38996459,255203410,30758410,254939286,33775388,25965626,19299499,267760852,6204311,6204310,9462376,6204523,3883466,2325440,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,9413661,9462923,9462920,13799386,19300092,255396236,13798913,13798911,10963077,7256835,7256837,10963083,13112155,267805096,15628960,15819518,21898182,18753466,18753465,25332764,25355694,18773664,18773662,18893018,21336435,15875258,15875257,18751499,13350273,12796041,8699716,5662705,5662709,8699732,6023030,6023033,9199371,9199369,13353386,12816632,12816629,254646004,13365244,12796326,8699934,8699933,12796324,254316186,18752604,20106430,14506617,9982135,6560894,6560893,254689946,19183894,19183895,18769463,13365854,9134573,9134574,13365857,18769465,18876749,25478511,21967522,15873609,11002414,7283279,5103250,5103253,8014926,11971037,12740424,12740425,11000558,254729674,18768246,254975904,33061832,31033688,23552201,17243866,12126517,12126514,17243857,23552190,21057114,21057115,22396414,28257011,21056150,15124617,10431962,10431963,15124621,16110803,22248410,22248367,18891815,13462907,9206578,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,1487607,841718,474705,474706,841723,1487619,2582081,4317328,4221557,4221559,6737471,6737469,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,28100296,21049708,15119795,15119792,17431411,17431408,23758630,28253036,28253035,28250093,21049785,21049784,21052247,28249656,21049390,15119560,10428719,6875615,6875618,10428730,6877753,4317348,4317347,6877749,10428368,10431389,10431388,10431577,10431576,15124049,21054840,20807229,20807228,15125137,10432330,10432329,15125132,21056822,27970227,27970228,21049463,15119615,10428750,6875627,6875628,10428754,15119623,21049454,28249123,268405312,36571686,36745050,36745654,36745656,28258092,21057068,21049737,15119814,10428883,6875710,4316235,2581526,1487326,841580,841566,841565,1487297,2581476,4316144,6875547,10428589,10430037,6876320,4316562,4316563,4316574,4316596,6876396,10430166,15121896,13902435,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608721,18079978,24508884,27969312,27969369,20806406,14911533,14911534,10253472,6737375,4221507,2524104,2524105,3819295,3819296,6104090,9318435,13608642,19062612,25686366,28256026,21709271,15667344,15667343,21709266,23773534,17444370,12296631,12296630,10428124,10428123,10429291,6876376,4316589,4316586,6876368,10430130,15121843,21052499,24513882,24513883,32086757,32086756,28253153,28253129,21052621,15121939,15121936,20806355,14911503,10253204,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080876,15120889,10429558,6876065,6876064,10429553,15120876,21051174,15125244,15125245,21056995,28257987,33477948,25704622,19078072,19078071,18079876,12818068,12818067,12818119,8715298,5673289,3528828,2100159,1209218,681921,681922,1209222,2100168,3528848,5673331,5673621,3528978,3528981,5673629,8715924,12819272,18081780,18446646,18084508,18082747,12819862,12819865,18082758,18083395,18083393,18083414,18083427,18083426,24513278,21051120,15120848,15120849,21051127,26994435,20103739,14414199,14414202,20103750,20103791,20103790,20103762,14414205,9913421,9913422,10367380,6829953,4284970,4284971,6829962,10367402,8715236,5673257,5673255,8715230,12817990,10846168,10846169,15667595,21709651,24511134,24511132,19071836,13615562,9323102,9323101,12820988,8716897,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095910,18080304,12818419,12818418,255014568,15530589,15530590,13677378,9366359,9366360,13677381,18080415,12818429,12818427,12820196,12820197,10605027,10605025,15351479,17793040,17793042,24160428,31670042,32371096,24752721,24512897,18083110,13620404,9326508,9326506,13620397,15040113,10367473,6830002,4284988,2561861,2561860,4284981,6829985,10367444,15040062,20948728,28126505,36600138,46466928,42286592,33306357,25544357,18931375,18931374,23646439,31134201,39816778,49840301,61323555,74106611,87712761,101686517,101686513,87712759,87712760,101686516,115731266,260500476,259279166,61970120,61970119,258652402,50476651,40439814,256838910,24235123,17860848,12648220,8587636,8587637,12648222,255591409,24235124,27282460,20347040,14604187,14604188,254709666,18666630,13274861,9059612,6753285,6753286,10049141,6603489,6603488,10049140,14604190,20347044,20347042,20347043,26384164,21927641,15841248,15841249,17288375,15772912,15772913,15772940,15772939,21842701,26628860,19817572,14195531,9758489,6416371,6416372,9758491,14195535,255099590,33022690,33022689,29173858,29173857,29720107,26385998,19654758,14088164,14088159,11546694,7682162,4860916,4860913,7682150,11546669,16564557,12728752,12728751,17962347,19665124,21103995,28314297,34272173,30597878,23178810,16913944,11837170,9691872,6374719,4860881,4860883,7682095,11546560,9693887,6375798,4000398,4000401,6375804,6375810,6375812,9693912,14094224,14096479,19658438,26392766,34268839,28314965,21104822,21104821,22582539,23392749,19029847,13583272,13583271,12029621,12029620,14093085,14093084,14093088,11102318,11102317,15992975,254074804,7211840,7211839,7581427,7581426,11409322,16393056,22576082,254079140,21863836,254126608,28735586,22126074,16011554,11116457,11116459,16011558,16398844,21401221,254794278,15980057,21482272,28238653,28238652,26397454,26397453,21468003,16704198,16704199,22939731,30340983,23179613,23179614,26387877,26387876,34265031,28067865,20896702,20896703,28067867,30824625,30824624,268379088,31745470,34637506,43910641,256304854,66910315,66910316,64192509,52342438,42003511,33059949,25330799,25330800,20347627,20347628,20136762,14442705,9935231,9935230,8854119,5770799,5770797,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496171,3592387,5626822,4092009,4092011,6516305,4082980,3876965,3876966,6194216,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,6993629,6993628,10600301,14442359,18063080,12806206,12806204,13714188,9393354,9393355,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653816,254318305,1423086,1423087,2461934,4115988,6570450,9997357,254757507,7284632,10620839,14419809,255254877,9386106,254453631,1337872,1337871,2305582,3847824,254663021,12803893,12803894,18059802,24482090,256571539,35083064,26998327,20107864,14418271,14418270,13349594,13349593,18750918,17280486,12159742,8190170,5259646,3215230,1883623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163662, s2 = 9662825, dlinesl.size( ) = 2 s1 = 14163662, s2 = 9662825, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163662, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 13222107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13222107, s2 = 8012495, int(edited[s2]) = 0 s1 = 13222107, s2 = 8012495, d1 = 6, d2 = 5 Dl.O(d1) = 11355446,16322047,15328381,15328380,21295083,28516225,24013914,24013915,29846648,22480592,22480591,18106497,18106496,24540318,22474317,22474320,21080813,15142415,10443626,6884797,4321887,4321884,6884785,10443603,11284170,15978042,11091865,11091864,15978033,16768831,16768835,23008209,23680789,22482553,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443653,15142482,15142505,21080959,21080876,15142457,15142458,21080880,23360583,17091841,12004667,12004666,15918385,11040395,11040394,15918380,22019768,28516537,21295421,15328612,10587159,6984086,6984087,10587161,11722372,11722373,16768613,255126888,22475311,16305143,16305144,22475312,29350066,29350067,25152076,25152077,22972626,16736151,11692803,11692802,16736147,22529523,29884129,22529544,22529545,23585235,22146958,22146956,254391414,7561905,7549682,7549683,7561903,11381843,8168659,8168660,5238256,3197568,1871694,1067617,600032,600034,1067619,1871700,3197460,1871654,1871657,3197503,2775341,2775346,4609713,7305280,7554243,11370960,12200477,12200478,16340972,11375439,11375440,8344198,8344200,9108581,9108580,8212051,8212050,12180286,17302345,16347975,11375531,7557345,7557346,11375534,16347977,22521169,29877833,38436695,31143375,30410032,23005258,16765775,16765779,17300064,17300065,22377203,21676687,15637987,15637986,15584896,10781143,7123580,7123581,7505047,11304206,16259156,22425519,17288154,17288156,23600716,17329419,12204414,12204413,17096111,17096110,23365204,22009311,22009312,22503818,22425581,22425582,22499788,22488604,22488603,21661225,254532430,11029516,15908284,16326921,16697206,22931851,28311130 Dl.O(d2) = 15157056,10453037,6890607,4325738,254227776,1491908,2587948,4325740,6890610,10453043,14585773,14585772,255761893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13222107, s2 = 8012495, dlinesl.size( ) = 2 s1 = 13222107, s2 = 8012495, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13222107, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1571422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1571422, s2 = 13960464, int(edited[s2]) = 0 s1 = 1571422, s2 = 13960464, d1 = 6, d2 = 17 Dl.O(d1) = 39828160 Dl.O(d2) = 10807295,10807296,255144263,254821353,17059230,23324945,23324953,17059353,11967694,8011459,8011456,254742379,4496396,4496395,7141213,10807333,11967645,8011437,5100194,254566521,255144259,8011407,5100172,3095685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1571422, s2 = 13960464, dlinesl.size( ) = 2 s1 = 1571422, s2 = 13960464, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1571422, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 1852554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9229330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13364167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1572713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1572819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7937686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1573456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6706879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6706879, s2 = 9399287, int(edited[s2]) = 0 s1 = 6706879, s2 = 9399287, d1 = 84, d2 = 83 Dl.O(d1) = 257561210,257056534 Dl.O(d2) = 34565971,30086998,22705109,22705108,26578481,19775704,19775703,23018766,30423841,26585213,19781124,14168682,14168681,19781122,26585211,23345081,17078606,11991538,11991539,255531847,30768197,254807780,17078349,17078348,14164769,11991901,8043805,5134092,254312543,254312545,6403938,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,11991931,11991934,17079273,15393999,10639008,10639010,7023505,7023503,10639027,15394030,21375282,23344997,17078554,17078552,23344988,26585479,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163510,14164595,19775508,26577371,26578757,34565400,31585429,24079556,17722355,17079429,17079428,21375241,21375240,23335113,29314856,30086944,26585381,26575793,22553629,16376531,11397392,9738008,9738007,14164412,19775199,19775289,19775691,19775690,26578462,26585337,26579310,26579312,26577743,19776116,14164992,14164994,14163819,14163818,9738033,9738036,14164368,9737985,6403608,4017694,4017692,6403601,9737969,14164340,14164514,9738059,9738058,14164510,14165350,19776596,26576704,23445568,17170500,17170502,23445574,26577776,19775054,19775050,26577764,26576640,26576639,29785224,26584915,26584914,34572000,37120588,46711242,46711240,47898416,37981286,29418371,22087838,22087839,29418372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6706879, s2 = 9399287, dlinesl.size( ) = 16 s1 = 8035515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8035515, s2 = 11655100, int(edited[s2]) = 0 s1 = 8035515, s2 = 11655100, d1 = 32, d2 = 18 Dl.O(d1) = 8281314,12262707,15070051,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103165,1930990,3281670,3281672,5338793,8274066,255166585,23708632,31197345 Dl.O(d2) = 74161253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8035515, s2 = 11655100, dlinesl.size( ) = 28 s1 = 9145124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656784, s2 = 14192809, int(edited[s2]) = 0 s1 = 11656784, s2 = 14192809, d1 = 20, d2 = 6 Dl.O(d1) = 89690463,75913613,62934642,51261554,41084866,32277429,24669510,24669511,24593010,18147059,18147062,24593015,32179620,32277485,41084914,51261587,62635384,51011691,40876016,32553359,32553236,32553237,41411835,51652993,63395976,76439727,90270072,104421559,118604967,132443906,145688099,158087482,169494930,179717981,188717613,194978472,262684282,167099218,167099219,167099220,262203636,155460873,155460874,167099219,167099220,155460875,142879275,129560990,115674785,101633650,87666146,74062299,61282818,49804536,39785243,31106035,31106034,30867996,23439646,17165789,12069528,8116127,8116129,12069532,17165794,23439653,25562216,267881754,23718592,17397177,12260070,8279740,5342086,3283436,1931090,1931092,1931065,1931063,1103211,1103212,1930939,3283190,3283340,5341870,8279308,12259294,268253133,31206824,39886034,49906772,61387192 Dl.O(d2) = 4932370,4931460,2974793,1726715,981666,552750,309370,171140,94202,51983,51984,94206,171153,309392,552793,981744,1726839,984939,554439,553515,553334,553333,553612,309810,171373,94303,52030,29274,29272,52021,94291,171350,309766,553540,983224,984506,984505,984775,984774,1627854,1627850,2806069,1726682,1726683,1727305,981959,981962,1726622,981624,552729,552727,310065,310064,553645,983425,1729901,2974771,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,982618,553213,309592,171254,171251,309583,171463,171443,171445,171484,310057,554112,982632,982635,984416,1728645,1728646,1726855,1726856,2975463,1731804,1731807,2982917,1731623,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728842,1728840,2978479,4936314,7786486,5365973,4937732,2979539,254171867,983240,1729581,254369469,4944998,2984542,2984541,4940484,254572564,4942440,7794721,7786514,7786515,7789099,10846538,10846540,7794072,4941904,2982171,2982172,4941907,7786668,7786671,11672481,11676900,7785542,7785541,11676897,16718682,16982170,11901261,11212710,11212711,16140431,11685331,7792337,4940684,4940682,3064396,3064394,3064373,3064372,5057929,7796936,4944264,4944265,2983969,2983967,4938273,7788814,11680578,11684745,7791839,4940327,2981177,2981175,4940315,7791815,11684713,11688151,11928456,11901494,7959579,7959582,11901498,11680960,11680965,7983476,7983474,7980038,7980035,8296147,5351971,5351969,8296137,7783941,7783942,11675033,8037897,8037900,11986979,11688979,11680360,7788626,7788625,10878730,7192353,4531089,4531090,5047128,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7956229,7956228,11640795,11879947,7956482,5060687,5060688,7956486,10847836,7171502,7171501,10847835,15669694,11896600,7955352,254389590,16969418,16969417,23239590,23247859,16983104,16975031,16975032,17169266,12072204,8117966,5200742,3172822,2193935,2193936,3665520,3122958,3122955,5135958,5135998,8045865,11924691,9167815,7955035,7955036,11896235,16982433,17098300,12011927,8069905,8069906,5164543,3147137,1840961,1050580,590921,329586,181598,181602,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,5077131,5077129,5077815,5077816,7978661,11924715,17010739,16189360,16189361,11931163,7984250,7983621,7983620,8349986,254403003,3314017,5389415,5053916,3061727,1784717,1784718,3061728,5053920,7947149,254569026,11253405,11253404,12356962,11884031,7944999,7945002,8353975,5392160,3315714,3315719,3315685,3315684,5392123,8353921,7991698,5830861,5086723,5086724,5086736,5086737,7130463,4488929,2696792,2696793,4488935,3313477,1949284,1113558,1113556,1949272,3313445,5388476,8348654,8351910,8351911,12360910,17527081,23871538,31366153,40046446,50065672,61543699,71428502,58695778,47305322,37395778,28855057,21582439,15558485,15558484,21582438,256338091,256879497,58695777,258694453,98926235,109387444,95132745,81074210,67605943,55264261,44416697,255240716,20078066,14395539,9901722,9901723,14395540,20078068,26962105,35042314,28685211,21435429,15441057,12086259,8127692,8127693,12086260,17188651,268423475,23870534,17526095,17526096,23870535,31365018,37249412,28718554,26139313,23189422,22401798,22401797,23476513,30224323,22832307,16611170,11585899,7711790,7711791,11585900,16611173,22832312,30224327,256984949,48728005,60122855,72859740,86455550,100412911,114437665,260534212,101710293,271774950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656784, s2 = 14192809, dlinesl.size( ) = 2 s1 = 11656784, s2 = 14192809, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656784, Dl.E( ) = 24, 2.91e-05 seconds used appending s1 = 7975833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 228878, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1237080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1237241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1575530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13352607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13352607, s2 = 11355562, int(edited[s2]) = 0 s1 = 13352607, s2 = 11355562, d1 = 68, d2 = 105 Dl.O(d1) = 21501761,28761313,22545738,16370043,11392456,11392457,16370046,22545745,28762916,23793255,21896615,21896614,29210593,29312721,21984733,21984734,29312724,29312800,23793090,17461257,17461255,23576146,28761413,28761412,37295113,29898103,29898102,37296342,256011387,23793372,31279197,31381343,31060579,31060580,29510183,29510184,28762927,28762928,23576559,22194753,16066225,16066224,17420664,17420663,23745946,31229675 Dl.O(d2) = 23128865,16868548,11799695,11799697,16868554,23128875,29919153,29919154,37904046,38374623,29802918,22437039,16269842,16269843,22437045,21690608,21276341,21276340,28493254,36990515,31491016,23993578,17649214,17649212,255098849,11400883,257538939,72496946,259396971,260615193,141321988,261192143,127962467,127962466,114082346,272838488,86093992,72496947,72496946,86093991,100056104,272838488,86093992,72496947,72496946,259396971,260615193,141321987,141321986,127962466,114082346,272838488,86093992,72496947,72496946,86093991,100056103,114082344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13352607, s2 = 11355562, dlinesl.size( ) = 32 s1 = 11656032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656032, s2 = 14875930, int(edited[s2]) = 0 s1 = 11656032, s2 = 14875930, d1 = 106, d2 = 16 Dl.O(d1) = 75823589,258291460,32258775,38480961,29920927,22561704,268119064,24829376,18336185,18336184,17509933,17509931,22561326,16382096,16382097,22561328,29920446,22561334,22561333,29920452,29920326,22561688,22561251,16382051,11401300,7575791,7575792,11401304,11401555,16382046,11401347,255098909,11401254,11401253,16381991,16381847,16381846,22560955,25357044,22561498,22561169,16381985,11401552,7575929,4791597,2888262,2888263,4791601,7575934,11401557,16382437,22561803,29921031,31341158,23848199,23848202,31341163,40020576,267983088,32281643,32281644,41089581,38480894,255505612,46859592,269308897,49820646,39799834,39799833,41089516,41089517,51266666,62939923,59393348,48004948,48004949,50047116,50047115,61525957,59681498,50047113,50047114,59766493,61525951,61525945,50046312,257574362,31347433,23853954,17511220,17511219,23853952,31347431,31347473,23853991,17511245,17511244,23853880,17511159,17511160,23853883,31347329,31346622,23853208,255175535,254594081,5384564,8342372,12347658,12346698,8341594,5384707,3311232,3311233,5384710,8342594,8342849,12348307,12347538,8342278,5384511,3311128,1947931,1112750,1112751,624419,624418,1112765,1112777,254270455,1947813,1112699,1112698,1947810,3310901,5384092,8341586,12346688,17509446,12347217,12347218,17509960,23852454,17509820,12347083,8341913,5384270,3310989,267844563,5384275,3310993,3310992,5384107,5384106,267997983,17509462,12347157,12347156,12346624,8342401,8342402,8341853,5384233,3310971,1947849,1947848,3310969,5384226,5384305,3311010,1947871,1112722,624398,624393,624392,1112712,1947845,3310966,5384216,8341821,12346948,17509688,17510940,12348020,268111925,17509663,12346918,12346917,17509474,17509724,17509793,17509795,23852434,17510127,12347347,254850511,5384264,5384263,8341900,12347060,17509791,17510141,12347361,12347110,8341928,8341929,12347114,17509855,23852487,23852449,17509816,17509810,12347074,12347073,15806986,15137305,15137306,17509884,23852459,17509826,12347090,8341919,8341920,12347095,17509478,12346719,8341612,5384112,5384111,8341607,12346713,17509471,23852182,28911677,23852410,17509766,12347033,8341884,5384252,3310981,1947854,1947856,3310984,5384258,8341892,12347048,17509780,23852424,22914612,22909474,16677158,11640914,7755333,7755334,11640919,11650805,11650806,16689494,22923620,17510601,17510602,23853293,21073460,16681888,11644394,7757652,4913062,4913061,7757650,11644391,16681883,16681810,254170974,7757619,11644336,267767484,16683503,16683559,11645579,7758409,7299777,7299778,11025549,15903999,22004719,16683576,11645591,7758416,7758417,11645594,11645630,11645607,7758426,4913618,254170980,1717646,2961468,2961466,4913051,7757629,11644355,11644428,7757675,4913077,2961479,1717403,1717404,2961482,1717665,976038,976040,254072280,4913639,7758450,7758451,11645638,16683637,16683668,22917196,21805938,21805939,22917088,254245972,11645678,16683681,11645675,7758473,7758472,10904541,7211885,7211884,10904539,15744958,16681925,22915066,29094539,21805951,21805950,29104180,37653098,37653099,37904724,29335965,29094545,21796844,21796843,254367592,38904323,30317613,22917217,16683690 Dl.O(d2) = 61410438,49931715,269334195,29377833,22047318,15952105,15952103,22055766,29385748,37950299,47868382,59263944,72000144,85586793,268079472,47876271,37958288,29393695,22063299,15958783,11075828,7344170,7342468,4637699,4637698,7342467,4638285,4638290,4638459,2793905,1620596,921609,519584,519583,921603,1620583,2793882,4638410,7343725,7343076,7343077,11074244,15956883,11076899,11076900,255090549,11275610,16220130,22375936,29733390,37938794,255882025,255584500,11061875,11061874,15941239,11074749,11074748,15957465,22042783,255883665,22039449,22039450,29370408,22047187,22047186,29377708,29399655,33304076,25542246,255340832,22046169,268555514,37914817,29345745,22013752,15912302,15912303,22013753,22038071,15935941,15935940,15936108,15936105,22038332,16856294,11789230,7872267,7872266,11061172,11082237,15912460,11060528,11060529,15939332,22042079,29303064,37872396,37962812,29398475,22068026,22068027,18886611,18886612,16129570,11204668,7434679,7434680,11204671,16129579,22271170,29380793,29380792,37945786,40974182,43859873,256197928,33184297,42143776,47796051,37871307,37871306,268428406,48103474,48103473,48101057,38189338,37871330,29301765,21974457,15880272,15880271,21901503,15956438,15956437,22060769,26611163,26611162,21974873,15880578,15880579,21974877,29302202,29301867,21974543,15880343,11008311,7287458,4595633,4595632,254757749,15880334,21714265,15671338,15671339,21714271,22271708,16130007,11204970,11204969,16130002,13966491,9589870,6295307,3943220,2360536,2360533,3943211,6295282,4105545,2455719,2455718,4105543,6553530,6553513,6553511,9971569,14492465,11009229,7287966,4595904,2764845,2764846,4595909,7287972,11009240,15881840,15881829,15881830,21976544,25540081,29304053,37873298,257495409,59050251,71791492,72000724,66854145,66854141,65737520,55440866,55440868,58683121,52670103,47873880,37955512,37935864,29369671,29369674,34584354,26597227,26597225,34584387,42283276,33302304,33302303,35051148,35051150,44425808,41811416,40059100,31376751,29385468,29385472,35050986,37950058,37480410,37480413,43398822,34298505,26421902,26421899,29384164,22054051,22054053,28717979,29384120,29384116,37948717,31068332,31068336,39746511,49765022,40384719,40384717,50419216,61909649,61888584,60347192,53923995,53923993,58650238,54677399,54677401,59262478,47866834,47866835,38189946,38189947,43855405,54599003,64570427,64568502,54595588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656032, s2 = 14875930, dlinesl.size( ) = 8 s1 = 14163878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163878, s2 = 1238114, int(edited[s2]) = 0 s1 = 14163878, s2 = 1238114, d1 = 24, d2 = 31 Dl.O(d1) = 54595961,54600007,43856612,34585765,34585762,28515329,21294121,15327698,15327700,21294132,22285459,22861622,30257089,38840673,38840676,48114828,48114829,49329463,39401233,30798009,23371449,23371450,30798013,30798075,29670511,29670512,38235857,48145842,54594561,66853609,60731396,49329501,39401264,34586810,34586809,29386481,29386482,255981077,17102640,12016980,12016979,17102637,23371440,256483013,39401196,30797986,30797988,37811027,29246330,21926141,21926144,25009729,25009731,30543906,39142608,48114817,38203867,29637174,22285448,19790954,14175964,14175962,19790944,26592450,19787236,19787238,19788925,19788923,19786491,19786492,22463734,22463733,26595725,19790112,19790113,26595730,34579810,34586798,34580023,34580024,29831155,22463687,16295381,16295380,22463681,26662597,22062234,15957828,14173062,9743581,254465329,2408642,254151753,448927,252637,252635,448923,254151751,2408621,4019509,6406854,9743424,14172864,19786791,19786228,14172430,9743145,9743144,14172428,19786223,26591386,26594969,19789725,14175168,9745042,9745043,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542113,33045646,33045645,26600893,26600892,34587704,35221907,35221906,44602829,42284445,33304082,30529363,23111339,16852699,11786125,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050544,22061469,22061470,22820344,30212302,34579209,34579208,254321072,39202957,39202958,44761348,35334222,27209921,20281766,20281767,27209922,35334567,44761570,55671279,255072786,26600988,19794795,19794794,26600987,267972480,49358330,39428647,30824404,23396520,22281917,16137926,11210485,7438322,4700136,2831727,2831728,4700140,7438331,11210519,16137990,15929854,11052923,8223263,5293482,5293475,3244706,1904388,1904387,3244704,5293472,8223243,8237942,8237941,267984586,23647940,29359411,254395182,12136763,12136762,17256804,12140734,267745876,254133822,9929217,9929214,13330277,12136755,8166700,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,4772335,4772334,7545618,9929888,9929890,10746842,10746841,15539219,12206174,8343984,5385558,3311702,3311705,5385569,8188547,12157969,16951195,11863813,11863810,16804066,15158284,10453825,10453827,15158294,21102742,17292374,12171196,8203242,8203241,8176163,8176164,11287299,7494157,4737342,4737339,4774127,4774126,5268895,3223623,3223621,5268892,8198554,12167037,17288083,20124967,254395342,35102863,29749395,29749394,38318267,255510230,23368890,22004399,17316746,12191950,8222318,8222319,12191953,17316751,22487154,23613382,254408024,35102621,28839946,254273534,13851519,9502209,7545262,4772167,4772166,7545256,11356547,16323731,22497759,22497758,21510935,15501497,15501500,21510944,22478318,22478317,22488643,16319379,11353778,7543786,7543785,11353772,16319369,22492731,29857044,29857777,22493637,16320144,16320143,22493633,29857776,29855101,29855102,29614324,22263428,16305245,11344835,7538959,4769054,2875037,2875036,267892643,11344829,16305237,16308553,16308552,22479505,29845756,29848792,22483207,21563770,21563769,28834900,37374942,38422512,38418251,29850203,22484974,22484976,22498195,254577170,16324077,16323984,11356720,7545376,4772227,4772229,7538873,11344669,15330561,11544436,11356811,7545416,7545415,11356807,16071338,16071337,11351729,7542657,4770878,2875959,2875961,4770888,7542675,11351767,16311690,11348926,11348925,254389046,29845741,22479469,16308530,16308529,16769395,11723406,11723405,16769394,22478150,22478149,22478839,22478840,29839761,37016033,28517074,28517075,28287849,21081770 Dl.O(d2) = 15331304,15331958,15318442,10580213,10580210,15318434,21281263,28498544,21280886,21280888,28498548,28502281,28499002,21281293,15318458,10580222,6979502,6979501,10580218,15318451,21281281,28498995,36995904,28521013,28498988,28498986,28520420,36996417,28498965,28498966,36996361,46874982,46873844,36995057,28497593,28497594,21283559,15320112,15320111,21283558,21280893,21280892,21280898,15318185,10580027,10580028,15318188,21280903,15318462,15318461,15318446,15318447,267962194,15331772,21299734,21280954,15318232,15318233,21280957,21281881,28499705,36997151,28520587,21299480,21299479,20889080,14985735,14985734,20889077,21280098,21280099,28497536,21279989,21279990,28497537,21284117,15320565,15320564,15318236,10589120,10589121,15331846,267763856,6985339,6979346,4385098,2626802,2626803,4385101,6979353,4385232,2626918,2626917,4385228,6979513,10580244,10585952,15326715,10589210,10589214,10585756,6983224,4387823,4387822,6980688,6980689,10580519,6979725,6979724,10580513,10580551,6985279,4389266,2629789,2629790,4389273,6985289,10589168,15331903,21281119,21281108,15318341,15318228,10580065,10580064,12488959,17661028,15317706,10579706,6979114,4384933,2626690,2626689,4384929,6979102,10579692,10579659,6979083,254224510,15317637,10581485,10581484,15320142,15320115,15320114,21283564,15327692,10586583,6983769,4388316,2629119,2629118,4388313,6983762,10586568,15317701,21280246,21293388,16063614,13188838,13188837,10837967,7164389,4512299,4512298,5396652,3318456,3318452,2881743,1672174,951288,951286,1672173,2881742,4782203,4774469,4774467,7549634,11363500,16332798,22506629,20125670,20125671,25151904,18594864,13214076,254263106,17294806,17294808,23139820,17319486,17319487,22523380,23637446,17321886,12197006,12173571,8205662,8205659,12173563,17294786,254585690,11369670,11369671,254392624,11287355,11287356,11362484,7548983,4774159,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,10752112,15546337,16793692,11742222,10752079,7103580,4770166,4770167,7541315,11349325,11349329,16312347,22479134,22479135,26044490,26044487,22083129,22083126,17343676,17343674,22488596,16315792,11351499,11351497,16315782,13850884,12166859,12166860,17287866,23600498,22391688,16232456,16232457,13851761,13851759,19364608,19364609,19365402,22390747,29749418,22499171,16697386,16697387,11990509,11990508,16697348,11658052,7769434,4922790,2968650,2968651,4922797,7769444,11658073,16697373,12014632,8073032,5167307,5167306,8073025,12014617,9502432,6232657,3902155,2337006,2337010,3902166,6232671,9502455,12514237,12514236,17693388,24045972,31549672,40235641,40515651,31818910,31818909,28011485,28011484,36471817,46327095,57674041,61671535,54666665,43924186,34650982,26659652,26659653,34650984,29879743,29879742,38438333,48341908,59726306,59248864,59248861,50192801,50192802,58118421,46749882,39442710,30838709,23409406,23409407,30838705,37995712,40290780,31607757,31607755,38251270,38251271,36942597,36942598,46820575,37597501,29049653,29049652,37597498,46678945,46678944,58053633,61792229,59714783,50192851,40168726,40168728,50192854,50191247,40167038,268113776,23985460,31482250,40167036,268258314,60840067,49438369,47501319,40161520,40161517,254860322,49843896,49843897,40061242,31378560,23881725,254602214,8357249,8357248,5997920,3750922,3750921,5997917,9164278,12368012,8357253,8357252,12368011,17535695,23881747,31378592,40061284,42099753,42099755,46390024,46390025,40061263,31378574,31378573,40061260,42100188,42100189,37305331,37305330,42175378,33216634,33146148,25405893,25405894,256027084,38419443,48327835,47211862,37305264,37305266,38419490,29851548,24283729,24283730,22486204,16313928,11350330,7541886,7541885,11350328,16313921,22486186,29851496,22486144,16313899,11350318,7541882,7541884,11350324,16313912,21510611,25405942,18815827,13404418,9164289,9164290,13404422,18815833,20939920,20939919,25405777,25405774,28299303,28299300,36529901,36529900,42100539,52452978,48327797,42100244,42100246,42099964,33145881,25405697,18815670,13404338,13404339,18815673,25405700,18815954,13404499,9164323,9164325,13404501,18815957,25406143,22486173,22486172,25406069,18816070,13404563,9164355,9164145,9164144,13404166,18815392,18815608,18815610,18815363,13404298,13404297,18815613,25405637,33145491,33146408,33145454,30748933,25498507,25405461,25405462,33145479,32117979,25498515,18892990,13463672,13404263,13404262,18815563,25405559,33145759,33146433,25406189,18816007,13404530,9164336,5997943,3750938,3750937,3750907,2246126,2246127,3750912,5997900,9164142,13404159,18815342,13404578,9164362,5997952,3750943,2246144,1302825,743257,422121,238147,131487,131486,238145,254112829,1302811,2246111,3750883,5997847,9164165,255245317,268139069,25149728,32856542,41777142,52090726,63909750,77021270,90900944,105080740,259007299,77021262,258399741,61416445,257059935,31244654,23760196,23760195,268209672,8291600,8291599,12277594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163878, s2 = 1238114, dlinesl.size( ) = 6 s1 = 10344286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6437457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1578453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1578453, s2 = 14045129, int(edited[s2]) = 0 s1 = 1578453, s2 = 14045129, d1 = 12, d2 = 8 Dl.O(d1) = 39950548,31275592,268439294,255171532,12307750,17458578,23789904,29098991,21801277,255171534,254847236,17458563,23789888,31275604,39950561,49967354,59538208,48151665,38242651,38242652,29677919,22326805,16181112,16181113 Dl.O(d2) = 11242564,268025216,7461663,267830209,2840503,4715115,4715231,2841493,2841492,4716522,7463540,7028685,4715725,2840935,2840934,4715724,4716298,4715528,2841098,1648241,937164,254100141,295833,528088,937167,1648245,1648896,2842464,1648895,937523,528301,295944,163673,163672,295941,528297,937519,1648875,2842441,4718180,4715358,4715359,7461956,7462317,4716569,2841535,2841462,2841461,2841247,1648186,937219,937217,1648350,2841231,4716143,7463062,11243400,11242589,7463026,7461747,4715186,2840564,2840563,2841508,1648361,1648362,2841478,1648339,937212,528128,295860,163626,89907,89906,163624,295855,528122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1578453, s2 = 14045129, dlinesl.size( ) = 2 s1 = 1578453, s2 = 14045129, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1578453, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 10170349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9452382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9452382, s2 = 10192359, int(edited[s2]) = 0 s1 = 9452382, s2 = 10192359, d1 = 11, d2 = 19 Dl.O(d1) = 39005567,30416244,23011068,16771393 Dl.O(d2) = 11725396,11725398,16771396,23011073,30416253,39005593,256895363,37600770,37600769,39005564,30416226,30416227,39005566,48929249,58883941,71603732,60327470,60327471,73068255,86673413,85131222,71560769,71560770,71560763,58833452,47447379,47447378,58833450,48929270,48929269,60327457,73068242,86673401,77586008,64417022,64417023,77586009,91517060,105740707,99055785,85131215,258704950,71560768,85131221,73068247,73068246,81087784,258792892,73068245,73068244,86673404,86673398,86673397,100646699,271657933,140280269,140280268,140169157,140169156,130067622,116159801,102103130,102103129,116159799,105740705,105740704,119975353,113078794,113078793,126932316,272460827,109399169,109399170,259797672,105740703,105740702,109399178,123590823,259498386,100646046,86672549,73067156,60326037,48927355,48927356,60326039,73067158,74688160,74688159,88315638,77586006,64417021,52542561,42183740,42183741,52542563,64417026,77586012,257642976,98976401,85051361,85051362,74006810,61225910,61225909,58682674,58682673,71416345,61894548,50404018,40368630,256230116,61894544,269640880,47365181,47365180,58751179,58751184,58751185,58751186,71479909,58751155,47365159,37459683,268606306,21644849,28920209,37459681,47365154,58751147,58751139,47365147,47365146,58751137,58751135,47365144,47365145,258074445,58751169,256970759,38627411,48542268,49835057,39811894,31129749,23642304,17325578,12200238,8231199,8231198,12200235,17325574,23642298,31129740,39811884,49835041,58742452,58742442,47356352,37449742,36937973,31129736,23642295,23642296,31129738,37448252,28908817,28908818,21635504,15603749,10794849,7132142,4490143,2697594,1562678,888391,501230,501229,888389,1562676,2697591,4490137,7132136,10794843,10711765,7076620,5355677,3291711,3291713,5355660,7509763,5355559,5355556,5367359,7133877,10797006,11170886,7411129,4682865,2821451,2821450,4682862,7411121,255061647,7411695,4683244,2821666,1636967,930810,930811,1636953,2821637,4683203,7411622,5265526,3220415,1887240,1076759,1076758,1887191,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186087,1864492,1864491,3186083,4655472,4614920,2778949,1612131,1612129,2778945,4614911,7311504,5288136,3239813,1900841,1900843,3239816,3267931,3267930,2998070,2998071,4963359,2997636,2997637,2995326,1739478,1739476,2995319,4960411,4384373,4384372,6978384,8245888,8245889,8233452,8223474,8223473,5303254,3254053,3254052,4832250,5303117,3253903,3253904,5303109,5303110,8231344,8390750,5414646,3328511,3328510,1975304,1127656,632319,351026,351027,632326,1127674,1975342,3239615,2699013,2699010,3223192,1915492,1915493,3260052,4615259,2996036,1739914,1739915,2996041,4961362,4736968,4736029,3242267,3242268,3263451,3193405,3193404,5232683,8162852,254838345,8175456,5245027,3203558,3203557,5245026,3262681,1917333,1917332,1904466,1087240,610458,339587,186420,101893,101892,186418,339582,610448,1087217,1904422,3244748,5260903,7239308,7239307,5264879,3219915,3219914,5264876,5258816,3214559,254085864,603596,603597,1074376,1742710,990248,556973,311423,172124,94681,52229,52228,94680,172121,311416,311409,311408,556952,990210,1742740,3000969,3001063,1742796,990237,990238,1742798,3000981,1742748,990215,267745047,172118,94678,94677,94676,172116,311407,556950,990206,1742735,3000960,4968594,3001004,1742760,1742759,3001003,4968636,7827713,11725160,11725227,16771107,16771036,16771037,11725198,11725197,11725209,11725210,16771136,23009248,16770179,11725169,11725168,16771082,23010611,16771059,16770213,11724659,11724658,16770211,16771094,11725178,7827668,7827669,11725179,16771098,23010668,30415771,30415801,39005130,43914500,269073904,34984910,26904629,20021584,20021583,23010713,16771138,16771137,23010709,23009324,16770237,11724668,7827383,254807295,255510639,16771052,16770214,11724660,7827380,4968440,3000884,3000885,4968443,4968447,4968448,7827393,11724683,7827389,7827390,11724679,11724678,7827647,7827648,11725145,11725149,16771061,16770188,11724641,11724642,16770189,16770195,11724645,11724644,16770193,16770254,23009348,23010606,24567786,32151191,39005023,32151200,24567792,18127538,18127539,268461781,24567788,24567787,32151192,40928677,51069179,62698186,60325910,60325908,270346299,73067051,74621764,61829442,51069190,51069189,62698198,75642261,74621760,74621759,88252454,258283151,61830239,64256650,52401413,52401412,62679305,64256668,61829441,61829440,64256658,52401418,52401417,64256657,77406320,73580847,60831168,60831169,49429031,39497710,39497709,49429029,60831171,73580849,87203111,256229770,85123677,71552848,58824702,58824703,63817317,71552840,58824696,58824695,71552839,83830129,70305134,57614587,254215870,36417414,254317948,70305128,77546821,255753764,42146717,49889050,39866836,39866837,49889053,61369726,64378597,52504816,42146712,33187415,33187416,42146716,52504804,49773236,268296320,33187419,42146719,52504822,64378606,60058820,48662103,48662104,60058822,72797419,64378582,52504805,42146707,33187407,33187406,42146706,52504806,64378584,72797413,72797412,86393338,269871809,61469621,64105378,52256474,52256473,61469624,61469623,74247999,61469665,49992198,39976017,31301360,23814894,23814895,31301364,39976026,49992210,49992217,39976030,39976031,49992219,61469654,61469655,74248032,74248012,61469638,61469637,61469673,74248022,61469647,49992191,49992192,61469651,61469660,61469661,74248034,61469676,61469675,74248051,258181494,89392613,87852709,87852710,101827250,87852718,87852696,74248025,74248026,87852698,87852712,100495515,87852715,74248056,61469679,49992208,49992209,61469681,74248060,78371914,65088662,65088663,78371916,92408747,102167487,99617225,99617224,113631084,102509987,94339443,80283337,66853675,66853677,80283341,89392612,257229606,59349050,47958244,47958245,59349052,72082374,85668605,93361888,93361887,102167485,88176842,74562150,74562149,88176840,102167484,113631083,108626448,99617223,91962470,78035173,65870728,65870727,78035192,78035191,91496823,268502850,64397213,64837832,52913115,42503716,42503715,33504991,25726750,19095271,254208084,33504992,42503725,36715073,36715074,42503718,42503717,254938414,71642760,58921676,47540429,47540430,47540431,58921678,71642762,85208088,75978069,62995392,62995391,62995415,51316380,51316374,41132816,32319037,24704582,18233839,12933419,12933420,18233835,12933417,8798548,5731224,5731223,8798552,12933424,18233845,24704589,32319050,41132747,32318986,32318987,256590089,31888931,24361216,17966162,17966161,24361215,31888929,40597673,36602865,36602866,40597670,40597669,40597674,268988145,31095153,23611416,255160419,8208748,8208747,12176938,17298632,23611410,31095141,39773519,39773506,31095128,23611401,23611402,31095129,39773508,49793362,61272384,72443942,86042284,99138262,85215495,71649653,58927744,47545418,37639135,29088777,29088778,37639138,41694358,41694357,52006709,63822842,74052267,61272381,61272380,59707615,48320853,38409958,38409959,255998223,23611396,31095121,26957313,26957312,35037288,44411849,55259432,67601170,81069315,75325894,75325864,62426170,50842387,40736397,40736396,50842386,61733313,50255038,255944016,24046006,17693420,12514260,8478031,6504004,4075595,4075594,6504000,9896717,14390702,20073483,26957315,35037290,39310972,49237737,60638471,62973032,62973024,51296348,41115271,32303562,32303561,41115269,40736442,40736441,257701687,50245492,50245493,61724380,61724379,74505574,87000168,87000167,99410189,85469287,71884599,71884598,71884610,59146508,47747770,47747769,59146506,70376411,57684173,46336979,36481015,36481016,46336981,44403765,35028529,26947895,26947896,35028531,44403768,55251628,50306553,40285297,31600409,29260294,21939103,21939102,256368901,47747742,47747728,37825560,29260275,29260274,37825558,47747725,59146449,59146463,47747734,37825565,37825564,47747732,59146462,71884570,77252180,77252181,77252192,85701174,72115380,71793210,71793209,77252178,85469266,99410167,85701173,258118985,59383254,52256453,41918200,32978067,25255261,18684486,13291555,13291554,18684484,25255257,32978059,41918191,41918195,41918194,47365153,58751146,49227855,39300887,39300886,41918179,41918180,38081055,29516519,22174760,16050043,11144383,11144384,16050044,22174764,29516526,38081062,47993602,48194528,48194527,59579985,59580894,48194518,38285265,29718666,22362503,16209238,11267729,11267731,255089975,7479845,4727119,4727118,7479842,11267724,15144565,15144564,21083866,16207379,11266538,11266539,255467675,29715908,26620446,19810651,19810650,26620443,27189459,20265592,14540208,14540207,20265590,27189518,23666591,17348615,17348616,16209289,11267757,7479857,4727125,2848098,1652461,939862,529884,296980,296976,529869,939834,1652408,2848006,4726971,7479570,11267273,16208467,14540194,10004014,6574217,4118133,4118136,6574230,10004043,14540233,19671995,26406384,25486085,18883005,254460682,6024773,6024772,8921026,5821791,5821792,5821773,5821772,8920970,6071551,3798833,3798834,254655153,12225395,8254154,8254155,12225396,17354228,23673723,29443525,31162277,31162278,256099544,22172310,16048239,16048238,22172309,29513739,38078252,33640466,25837476,25837477,33640468,42669659,41624342,41624341,47921852,48888485,41844378,41844379,52166238,63736477,51927108,48880444,38961893,31833879,28852467,28852466,37392722,41844377,52166236,55416322,44569023,38961889,30376861,22975600,22975601,25197462,18635177,13249236,9038167,9038166,13249235,11695349,7800325,7800326,11695352,8631017,8631016,12703859,17929384,22975606,16739109,16739110,254827022,23105046,23105045,30522204,39119890,47665760,47665761,255239500,24315297,254637286,32718429,254904268,15556852,15556853,17138510,23414135,30844094,28547150,28547149,32909410,39119893,47665762,37743871,29183007,29183008,37743873,47665765,59065709,71806314,85394353,99337743,113339849,127197863,140543616,147941184,160189888,147941183,134821438,121023404,106769483,106769484,92762211,92762212,107103480,121401871,135253234,121401873,121401872,125474763,111673796,111673795,111673798,258034470,70373479,70373480,70373483,57681405,46334403,36478655,36478654,46334401,57681401,62998299,51319329,268714717,32321982,41135730,44344323,34966798,34966797,44344320,55195167,67539350,81009279,85394018,89438487,76873634,76873633,87823260,101796471,98557346,98557347,103534743,89438489,75675046,62728552,51096736,40953552,40953551,51096734,62728550,75675044,89438486,103534741,117667260,131471608,144697667,138907143,261046144,111764477,97838776,83976736,83976735,84449825,271297644,51170123,269931803,53367310,42901331,33856314,268469152,13844779,9497059,6228878,6228873,6296234,3944030,3944033,6296243,4272044,3743623,3743625,5986994,6162100,9396208,6155882,3851756,2307709,1339021,764809,434998,245661,245660,435019,764845,1339067,2307800,2327313,2327308,1383784,1383781,2377539,1376176,1376178 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1580193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1580193, s2 = 684583, int(edited[s2]) = 0 s1 = 1580193, s2 = 684583, d1 = 11, d2 = 1 Dl.O(d1) = 39982192 Dl.O(d2) = 17484264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1580193, s2 = 684583, dlinesl.size( ) = 2 s1 = 1580193, s2 = 684583, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1580193, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 1582087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1582087, s2 = 9349345, int(edited[s2]) = 0 s1 = 1582087, s2 = 9349345, d1 = 5, d2 = 6 Dl.O(d1) = 40017332 Dl.O(d2) = 23845924,17504452,12342815,254097592,10266028,6806498,4268857,2552239,1470232,831674,831675,1459386,1945317,1945316,254402115,8331827,10313345,6798203,254323799,2548590,4262889,4238787,254218117,826728,826727,1460319,826726,737230,419027,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,6760797,4236780,4236782,4235451,2532275,2532274,2538757,4246239,6774344,10293297,10293295,9058762,5922738,3703473,3703477,5922744,4266528,4266527,6803282,10295356,10302285,6774429,4246284,2538778,1462835,1292308,737585,419217,236567,236568,419222,737599,1292339,827646,467169,467170,827651,1462263,2537640,2532947,1459637,826280,826278,1459630,2532928,4236456,6747830,4228199,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,3465776,3465775,5586293,6784335,10313776,9072093,5932546,3709428,3709427,5932543,8132213,8132212,10268484,14931643,17876223,12659650,12659653,13286392,13315755,9096381,6829344,4284541,4284539,6829340,9712445,9170275,9170274,10988605,9095196,9095195,13314464,17199633,21943780,21943779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1582087, s2 = 9349345, dlinesl.size( ) = 2 s1 = 1582087, s2 = 9349345, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1582087, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9073698, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 760162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 760162, s2 = 8145415, int(edited[s2]) = 0 s1 = 760162, s2 = 8145415, d1 = 1, d2 = 2 Dl.O(d1) = 19334302,19334304,25521014,18911476,18911474,25521010,33281207 Dl.O(d2) = 31353860,23860316,23860317,23860305,23860307,31353849,34218186,26344531,26344532,34218188,43315887,53839793,50053694,50053691,40033822,40033821,35238822,35238823,44621451,35238819,35238820,35238847,27142684,20234416,14519800,14519799,20234414,27142683,35238844,38182251,29615123,29615122,38182248,38182259,29615129,22264096,16123403,11200105,11200106,16123406,22264103,29615140,28619861,28619860,37131839,47019368,55629341,50053645,48093969,268505730,38182253,48093999,44731371,35312034,27192361,20268041,20268038,16123393,16123392,22264044,22264043,29615075,254790244,33734456,25927426,19265428,268032133,9439584,13769938,19265431,22264046,22264045,25521269,23783147,17452911,17452912,23783148,255621266,16123436,11200121,7431602,4696062,4696063,254771127,16123441,16123447,16123448,22264168,20138368,20138367,22264184,29615214,32908732,25943200,25943181,19279794,13782034,13782033,19279791,25943177,19279802,19279804,16123362,16123361,22264024,29615057,22264032,22264031,29615063,22264124,22264123,23098555,254306318 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10138595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7913067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7913067, s2 = 14913674, int(edited[s2]) = 0 s1 = 7913067, s2 = 14913674, d1 = 34, d2 = 20 Dl.O(d1) = 255179708,6056214,6056210,9247176,267910818,21263296,21263297,21476034,15473425,15473426,21264028,15486315,10709006,7074899,7074901,10709008,12053325,255150155,9250109,9250110,12404683,268246442 Dl.O(d2) = 77018117 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8188484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7708607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1587032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1587032, s2 = 11245416, int(edited[s2]) = 0 s1 = 1587032, s2 = 11245416, d1 = 40, d2 = 18 Dl.O(d1) = 40091333,31411536,23921796,17580625,12408618,8386475,8386477,12408627,9246952,6056091,6056090,9246950,13514014,18950656,22776059,16560780,11543490,7679845,7679847,11543485,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269646,8367980,12383384,17405347,12266145,8283425,8283426,12266146,17405348 Dl.O(d2) = 257437757,262101217,261150008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1587032, s2 = 11245416, dlinesl.size( ) = 28 s1 = 10177321, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13559105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13559105, s2 = 13876484, int(edited[s2]) = 0 s1 = 13559105, s2 = 13876484, d1 = 353, d2 = 658 Dl.O(d1) = 259759157,87985907,87985906,74382983,66843338,54583694,54583695,61606266,50126226,50126225,61606264,258889629,66843347,66843346,80273358,74382992,61606296,50126256,40106092,31426232,31426230,31426242 Dl.O(d2) = 230704369,266176601,274578530,265933529,230704371,229194343,274439038,225531656,227485822,265933514,227485801,225531643,223285094,274235691,209508086,209508084,209508085,213969193,265100045,265481045,265645425,229194284,228193060,226348911,224231935,224231936,265181430,225531638,265933521,232049988,233262247,234360188,266250986,233262263,232050012,230704384,229194357,228193278,226349114,224232127,221790424,221790423,224232123,226349108,228193275,229812709,229890622,265181434,221911104,221911105,264970432,228279471,229890626,231321629,265851492,225531644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14592906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349102, s2 = 10347180, int(edited[s2]) = 0 s1 = 10349102, s2 = 10347180, d1 = 35, d2 = 30 Dl.O(d1) = 47524636,255657134,32774689,25077305,18534230,13169194,254638623,5860446,8976900,13169204,18534248,25077284,23436727,268428837,29679732,25076882,18533890,13168907,8976702,8976703,13168908,18533892,25076885,19224759,19224758,25295737,18721396,13327004,9105942,5958305,5958304,9105940,13327001,18721391,13843414,9495953,9495952,13843411,19355553,18533885,18533884,25076872,255933250,21706084,21706085,28990130,37535030,33960309,26122650,25295681,18721352,18721353,25295687,25884424,33690990,33690994,25884427,25884428,25884943,33691632,41964693,33021927,25295713,25295714,19225003,19225002,25884723,28990135,28990134,33021933,41964700,33690964,25884399,25295732,22328303,22328302,256222390,256954487,59696756,62500451,50900118,50900119,62500452 Dl.O(d2) = 261688049,165034936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349102, s2 = 10347180, dlinesl.size( ) = 32 s1 = 13552123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1945470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1945470, s2 = 8202771, int(edited[s2]) = 0 s1 = 1945470, s2 = 8202771, d1 = 9, d2 = 2 Dl.O(d1) = 50164831,40141089,31458658,31458661,24957961,18440716,13099227,13099226,12429851,12429850,17609422,23956545,31449050,32625943,24958126,18440836,18440837,24958130,32625789,24957971,18440719,18440718,24957962,22085047,22085033,22085035,18440820,18440819,24958113,32625918,32625916,31449222,31449223,31449229,31448926,23956446,23956447,31448931,23956599,17609463,12429870,8400940,5421149,5421147,8400934,12429814,12430020,12430019,17609719,23956935,24958027,18440751,13099247,8927278,5826574,5826572,8927271,13099236,18440729,24957984,24958136,18440843,13099318,8927319,8927320,12430092,17609819,18440969,17614136,12432740,12432742,15978818,15978806,15978808,13099301,8927308,8927307,13099295,18440811,23956674,17609521,17609523,23956454,17609364,17609365,23956458,17609504,12429892,8400951,5421156,3332606,3332607,5421133,8400920,8401035,8401034,12430026,17609725,18440761,13099255,8927287,5826580,3635485,3635486,5826585,8927296,13099268,18440775,23957072,17609834,12430102,8401079,5421236,5421237,8401081,8927370,12432752,8402604,8402602,7356478,4646997,2799161,2799162,4647003,7356484,11092470,15978850,17609538,12429904,12429903,17609531,12430015,12430014,17609551,12429914,8400958,5421162,3332612,1960033,1960035,3332601,5421140,5421215,5421213,8401042,12430031,13099309,8927313,5826601,3635495,2172124,2172125,3635502,5826610,8927332,13099335,12430110,12430111,17609315,12430123,8401088,8401087,12430119,17609850,17614145,17609492,15978769,11092424,7356461,4646990,4646991,7356465,11092433,12430535,16006134,16006158,22119766,22084987,17609804,17609805,17609660,12429982,8401010,5421193,3332631,1960043,1119741,628330,628331,1119746,1960053,3332646,5421218,8401048,8927399,5826646,3635524,2172140,1257780,1257779,2172133,3635512,5826629,5421119,5421120,8400895,12429781,17609323,18441041,13099425,13099426,18441044,18440787,18440786,22084966,15978755,11092410,7356452,7356453,11092415,8401326,8401327,12430064,12430062,17609777,23956416,17609336,17609338,18440858,17609643,12429970,8400996,5421181,3332622,3332623,1960067,1960068,3332673,5421272,8401136,12430218,17610009,13099363,8927347,5826615,5826616,268017993,5826624,5826625,8927365,13099382,17609305,17609306,23956385,31448886,31449737,40129508,48860008,48860007,41509685,32626081,29415253,255074978,11092399,8401329,5421394,3332749,1960112,1960111,3332746,5421388,8401322,12430531,17610503,23958059,31449461,31450018,23957277,17609984,12430209,8401130,5421265,5421264,8401123,12430195,17609963,23957257,31450000,40129844,32625387,24957705,18440567,13099143,13099142,18440560,24957687,18440934,18440937,23960446,17612087,17612088,23960451,31454240,40135184,40131011,31451015,31451012,31460959,23965250,23965248,31460954,40144245,40133506,31452919,23959502,256024621,40133504,50155799,50151349,40129853,31450011,23957266,23957265,31450006,40129810,50151311,50151333,61633672,257077941,31457308,23962619,17613434,17613433,23962617,31457305,40139378,50162780,256608408,31460981,23965262,17615303,17615302,23965260,31449006,23956517,17609412,17609413,23956522,23956744,31449293,32948784,32948783,41883132,41883140,41883139,50148433,49816932,256584866,257550934,40140157,46871142,36992456,31457957,23963156,17613812,17613811,23963152,31452782,23959388,23959389,31452784,40133331,31455670,254541306,12431944,12431943,17612787,254789604,40087725,42811038,53264215,53264208,53264206,44571071,35193038,27104016,20204004,14497448,14497449,20204010,27104029,31456136,31456139,40137732,50160730,50160708,50160709,50162816,40139410,31457335,31457336,40139414,42811286,42811287,40136053,40136051,268495132,33778721,33778722,31450286,31450285,40124937,40139311,31457247,23962585,17613411,17613414,23962596,31457265,40139331,33151749,25411066,25411065,31452903,40125475,50146682,53761105,53761104,50148197,40126704,31446941,31446942,40126706,50146361,40125963,31446328,23954229,17607746,17607745,23954226,31446209,31446210,31445932,23953970,23953969,31445927,40125449,40127517,40126311,40126312,40126291,31451235,31451234,40131306,42811293,40130177,31450293,23957494,23957495,23957504,31450303,40130190,40125506,40125509,50146711,61628730,74407532,64324732,52457792,52457791,61628696,50147007,40125780,40125781,50147008,50146309,40125098,31445574,31445573,31445630,23954434,17607850,17607849,268442779,31446243,31446242,23958235,17610623,17610622,23958230,31451251,31453165,23959682,17611602,17611603,23959685,268443081,31450300,23957501,17610162,12430320,12430321,17610165,17611643,12431226,12431224,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364 Dl.O(d2) = 74432091,88043776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1945470, s2 = 8202771, dlinesl.size( ) = 2 s1 = 1945470, s2 = 8202771, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1945470, Dl.E( ) = 10, 1.79e-05 seconds used appending s1 = 9401496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6631963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6631963, s2 = 6909922, int(edited[s2]) = 0 s1 = 6631963, s2 = 6909922, d1 = 21, d2 = 11 Dl.O(d1) = 256744488,40147244,31463711,255572797,12435880,8404826,8404827,12435882,17617865,23967857,31463712,36622170,28148272,28148271,267932582,17155531,23431887,27038799,20145891,14451293,9942249,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983227,7902284,7902286,11824580,12385499,17556124,17549846,16801317,14543450,11244824,10569155,8363932,8363933,12377399,8369506,5873960,5873962,5409101,5409099,8381838,12402460,17161610,17161611,12388308,12388306,11825635,7903075,7903074,11825630,15059847,15059846,20969878,23704969,268109513 Dl.O(d2) = 255588056,31249819,31249820,257060411,49943201,50024204,40005735,40005736,38129526,29563924,22218313,16086644,11172717,7412644,7412643,11172714,16086639,22218306,29563915,38129515,48042604,59434517,258746317,259989383,127605057,261714311,262229645,176082285,185545400,263895367,206866603,206866602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6631963, s2 = 6909922, dlinesl.size( ) = 2 s1 = 6631963, s2 = 6909922, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6631963, Dl.E( ) = 22, 1.22e-05 seconds used appending s1 = 9416701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9416701, s2 = 3091953, int(edited[s2]) = 0 s1 = 9416701, s2 = 3091953, d1 = 26, d2 = 33 Dl.O(d1) = 24411862,31959662,33640886,42670122,40150552 Dl.O(d2) = 97794402,97794401,83935331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9416701, s2 = 3091953, dlinesl.size( ) = 2 s1 = 9416701, s2 = 3091953, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9416701, Dl.E( ) = 46, 2.6e-05 seconds used appending s1 = 6680786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6680786, s2 = 10169384, int(edited[s2]) = 0 s1 = 6680786, s2 = 10169384, d1 = 32, d2 = 15 Dl.O(d1) = 257261696 Dl.O(d2) = 17574030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6680786, s2 = 10169384, dlinesl.size( ) = 24 s1 = 6704213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13176013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3750739, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8200698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9380384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7984392, s2 = 1798493, int(edited[s2]) = 0 s1 = 7984392, s2 = 1798493, d1 = 16, d2 = 22 Dl.O(d1) = 257783112,58730423,258696869,270803324,15408308,10650359,10650358,15408306,21266261,21266263,28483251,23891427,17544890,12375483,254595423,5397688,8362687,12375454,12527004,10531068,10531071,15263185,21232673,17538529,17538530,255537722,13532915,13532914,18968366,23918352,17576619,12404740,8383521,5410019,254596513,12382273,8383299,5409887,3325634,3325628,5409865,8367330,12382427,17402269,12263855,268076470,17382512,17382513,17848634,12639787,10494528,10494530,15213944,15500356,21509432,23703329,31192727,23915084,17572529,12400705,12400706,17572531,23915086,31406250,33336644,256310202 Dl.O(d2) = 255579682,41652579,39506260,30898848,23465340,17185740,12084042,12084041,17185739,13326721,9105696,9105697,13326723,254921246,27183850,35302913,44722368,37314394,37314395,47223268 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8038791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1579915, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655710, s2 = 10174003, int(edited[s2]) = 0 s1 = 11655710, s2 = 10174003, d1 = 0, d2 = 0 Dl.O(d1) = 21783305,21781473,21781471,15986667,15986668,20064733,26949592,25251402,18680533,18680534,15720446,254511004,7196490,10883773,15720449,21779435,29077372,26938342,26938343,35019354,255054358,59671502,55420095,55420096,48284257,38373491,268745014,38373486,29801534,29801532,38373482,48284250,59671497,67760222,55420247,55420246,67760220,269195029,35194988,35194989,44573031,35194888,27105596,27105597,256753795,27105776,20205457,20205328,14498523,255335975,27105602,27105623,20205433,14498594,14498593,20205431,27105753,35195079,35194904,35194903,44573047,55420164,55420441,44573278,44573277,55420438,67760419,81226522,95284040,97736053,97736052,98124189,87205091,73583068,60833619,257035718,73583061,79083496,79083497,84228796,70675306,57956465,46580062,36693787,28203642,26216329,26216330,34077049,43160875,268104546,65728016,53671728,53671727,62001145,50509734,44830341,254575482,254830040,24267203,254575484,12670725,17888395,24267200,31779757,255988014,62001142,74797540,81625895,68135954,55738033,44830325,35404795,35404796,27278896,20343248,14600870,10046724,6602093,6602094,10046726,14600872,255763309,35404804,44830334,55738043,65256119,78546477,81625904,81625903,95659075,106912680,92594059,78546471,78546472,84286909,70734989,58020209,46647027,46647028,58020208,46647026,36761269,36761268,269304099,258646839,70734967,58020194,58020193,70734966,256918610,59239062,59705721,48318957,38408164,29835965,29835966,256955083,256443151,30247121,38830569,30247118,30247117,38830568,256376242,70828604,58113609,46743903,36862563,28364294,22852716,255943253,36862570,46743915,58113626,70519199,57817858,57817857,258886318,84096941,84096942,258555650,87107701,259464017,115183947,272245295,271670762,123731798,109540357,258771096,81228062,71410940,256415606,37376155,28836023,28836024,37376157,47285696,256958008,64335389,52467741,257319829,35196367,27106902,27106901,35196362,36695548,46582040,42461995,256146357,25695761,33468652,257184103,33012975,25288026,25288025,33012973,41955214,33012962,33012961,41955213,52296103,58649071,47257094,37347620,28809181,28809182,256629553,33012983,25288036,25288034,28809188,37346575,37346576,28808999,21541503,15525075,15525074,21541501,28808995,21564129,21564130,267977822,47285025,41955236,33012979,25288033,18715105,13321796,9101792,5955354,5955353,254913943,15525171,15525172,21541637,28809198,37347636,37347631,37347629,255478596,28835387,21564125,21564126,28835388,255478598,52296107,268228820,37375536,28835444,21564162,15542324,254359020,28835438,255099022,58676259,47285010,47285011,47285034,37375516,37375477,28835381,21564121,15542305,10749047,7101661,4471275,2686401,2686400,4471273,7101657,10749040,15542311,21564134,28835402,37375496,47285031,58676268,71410384,65671606,60478199,60478198,73224812,79023069,65671610,256416420,48198381,59584919,72319511,85912869,99868219,268434706,100020235,86056905,72458498,72458497,86056904,86056897,72458493,59722650,48337963,38433921,38433920,255159338,100020217,86056889,86056888,270846261,271341269,114047685,114047682,127928883,141290338,140564957,140564955,140564966,127219247,127219230,113360796,99359023,99359024,99359030,258719487,59087828,269330377,37767726,37767727,47689050,59087836,71828137,257409058,256291154,255012930,16174939,11242361,7462292,7462291,5491792,3382198,1991658,1991659,3382187,1991651,1991652,3382188,5491774,8491105,5491911,5491912,8491320,12530037,8491149,5491805,3382207,3382204,2778042,1611630,1611629,2778038,4613557,7309693,11034957,15913291,11034887,10930807,10930808,15779484,15913146,15779492,15103731,15103732,15913335,22014915,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530235,17713332,22014861,15913276,11034878,11034877,15913271,16832552,16832553,23085577,17713176,12530122,8491219,8491218,12530119,17713170,22015091,22015092,22299776,16154339,16154337,22014845,17320392,16154084,16154083,22299528,17512521,12349123,12349122,17512520,15913319,11034908,11034907,255395578,254729332,254729334,254729336,17713327,22299761,25967921,29651629,22299706,17713299,12530219,8491289,7640068,7640069,11223288,7446778,254332798,254332800,1644249,934931,934930,254237039,4704924,4704969,2834309,2834310,4704973,4704949,2834299,1644252,1644253,2834306,4704963,7446698,11223158,12195522,12195523,17320397,23636059,29651529,29651685,22299778,22014790,22014791,23636052,31122085,29651678,22299765,17493720,12334588,8332705,8332706,12334592,16153936,11222963,7446571,7446570,8332735,12334624,15340392,10595699,10595697,11223281,11223279,16154358,22299801,23832375,23832374,28807289,21540196,21540197,17493833,17493835,12334680,8332771,5378101,3307087,1945583,1111470,1111471,1945588,3307095,5378116,8332794,12334714,12334713,11398615,7573826,7573825,11398622,7925506,5038198,5038197,7925504,7299024,7299023,11024365,15902253,17018493,17018494,255824906,23832531,17493897,255133858,8332786,267899382,17107389,254497918,5177679,5177681,8081702,12021556,11178803,11178802,16094559,22228361,16094521,12334633,12334632,16154211,16094552,11178798,11178797,16094551,22228397,16293887,16293889,16293024,11336016,11336017,16293026,16792814,16293041,11336025,7533141,7533140,11336018,16293028,16294019,254781309,4765557,2872761,2872759,4765552,7533518,11336620,7533503,7533502,11336150,16293241,12366852,8356523,5393773,5393775,8356526,11056638,11336004,7533135,7533136,11336008,16293010,16367496,22542898,24817150,29804511,22461661,16293660,16293661,15815204,10959945,7254430,7254429,7254426,7254425,10959943,15815201,21892871,29206234,37767735,47689058,59087846,59087820,59087821,71828115,85415986,85416019,85416020,259889060,127219218,260490810,140564938,140564934,127219210,113360778,259345027,85415979,99359008,113360781,113360825,127219252,127502658,140859023,153246490,153246514,140564976,127219261,113360836,99359057,99359058,260563903,136784375,122954004,108688672,94401432,80347036,66920661,54663964,54663963,259135459,108688656,108688655,108688654,122953986,109357809,95103694,95103693,88080951,74468443,74468442,88080950,102067484,258974644,74468464,88080974,94353948,94353947,108641824,260731557,111669971,97751061,83894163,83894164,81046349,67578518,257910008,54610214,43867444,38421602,29854236,256955341,59715634,72452104,86050713,100013921,100013920,114041199,259481626,127922519,114041203,100013927,86050688,86050687,72452089,59715623,255993174,38421597,48329479,59715619,72452086,86050690,100013929,114041205,114041236,258234906,72452100,59715629,48329483,38421599,29854234,29854235,255993176,257043446,86050709,100013923,100013941,86050702,86050701,86050706,72452097,72452098,269862610,114041218,270893242,114041219,114041220,114041228,100013944,100013945,100013931,86050696,86050695,86050698,100013933,114041214,127922533,260694014,153956196,261294048,262321016,165730617,165730616,260721404,129439718,127962337,114082215,100055956,86093823,86093824,100055947,86093816,86093817,100055948,98797548,87944628,74342157,74342158,72496757,72496758,86093807,100055935,101917018,257654674,113802802,272210435,128819886,256524916,255567332,254852034,40245711,31559374,24054678,17700654,17700655,24054679,31559377,40245719,50265440,50265431,50265430,58647180,47254916,37345538,37345537,47254915,58647179,71382745,58647166,268441430,37345526,256876865,37345509,37345536,257456865,47254918,268617117,21540292,15524201,255411173,21540286,15524195,10736623,10736622,15524193,21540282,28807388,37345505,47254889,58647146,257654676,98883063,109826996,95622557,256003156,55701462,55701463,68098988,72531354,59796241,48411406,48411405,255552596,81588830,95622563,257636920,59796250,59796251,72531359,258773747,59796253,59796252,72531370,59796264,48411424,38505583,38505584,256455086,29846059,22479932,22479931,29846057,38415694,48325222,256999222,48491061,38577810,38577811,48491062,59882600,71428464,58695749,58695750,71428467,85001476,73991454,258858581,71852149,59114223,268934715,37796273,47716854,258098161,85437286,99378293,101554272,87591737,87591736,101554271,115590630,119977071,105742442,91518946,77588071,259033999,258646941,58021658,46648722,271082236,78537923,65247978,53258600,53258599,46648716,46648717,58021652,70736269,65053668,65053667,58940010,47558092,37652823,255805952,58931984,58020665,58020666,48860233,39952855,31277926,255806052,38940657,256833236 Dl.O(d2) = 21783305,21781473,21781471,15986667,15986668,20064733,26949592,25251402,18680533,18680534,15720446,254511004,7196490,10883773,15720449,21779435,29077372,26938342,26938343,35019354,255054358,59671502,55420095,55420096,48284257,38373491,268745014,38373486,29801534,29801532,38373482,48284250,59671497,67760222,55420247,55420246,67760220,269195029,35194988,35194989,44573031,35194888,27105596,27105597,256753795,27105776,20205457,20205328,14498523,255335975,27105602,27105623,20205433,14498594,14498593,20205431,27105753,35195079,35194904,35194903,44573047,55420164,55420441,44573278,44573277,55420438,67760419,81226522,95284040,97736053,97736052,98124189,87205091,73583068,60833619,257035718,73583061,79083496,79083497,84228796,70675306,57956465,46580062,36693787,28203642,26216329,26216330,34077049,43160875,268104546,65728016,53671728,53671727,62001145,50509734,44830341,254575482,254830040,24267203,254575484,12670725,17888395,24267200,31779757,255988014,62001142,74797540,81625895,68135954,55738033,44830325,35404795,35404796,27278896,20343248,14600870,10046724,6602093,6602094,10046726,14600872,255763309,35404804,44830334,55738043,65256119,78546477,81625904,81625903,95659075,106912680,92594059,78546471,78546472,84286909,70734989,58020209,46647027,46647028,58020208,46647026,36761269,36761268,269304099,258646839,70734967,58020194,58020193,70734966,256918610,59239062,59705721,48318957,38408164,29835965,29835966,256955083,256443151,30247121,38830569,30247118,30247117,38830568,256376242,70828604,58113609,46743903,36862563,28364294,22852716,255943253,36862570,46743915,58113626,70519199,57817858,57817857,258886318,84096941,84096942,258555650,87107701,259464017,115183947,272245295,271670762,123731798,109540357,258771096,81228062,71410940,256415606,37376155,28836023,28836024,37376157,47285696,256958008,64335389,52467741,257319829,35196367,27106902,27106901,35196362,36695548,46582040,42461995,256146357,25695761,33468652,257184103,33012975,25288026,25288025,33012973,41955214,33012962,33012961,41955213,52296103,58649071,47257094,37347620,28809181,28809182,256629553,33012983,25288036,25288034,28809188,37346575,37346576,28808999,21541503,15525075,15525074,21541501,28808995,21564129,21564130,267977822,47285025,41955236,33012979,25288033,18715105,13321796,9101792,5955354,5955353,254913943,15525171,15525172,21541637,28809198,37347636,37347631,37347629,255478596,28835387,21564125,21564126,28835388,255478598,52296107,268228820,37375536,28835444,21564162,15542324,254359020,28835438,255099022,58676259,47285010,47285011,47285034,37375516,37375477,28835381,21564121,15542305,10749047,7101661,4471275,2686401,2686400,4471273,7101657,10749040,15542311,21564134,28835402,37375496,47285031,58676268,71410384,65671606,60478199,60478198,73224812,79023069,65671610,256416420,48198381,59584919,72319511,85912869,99868219,268434706,100020235,86056905,72458498,72458497,86056904,86056897,72458493,59722650,48337963,38433921,38433920,255159338,100020217,86056889,86056888,270846261,271341269,114047685,114047682,127928883,141290338,140564957,140564955,140564966,127219247,127219230,113360796,99359023,99359024,99359030,258719487,59087828,269330377,37767726,37767727,47689050,59087836,71828137,257409058,256291154,255012930,16174939,11242361,7462292,7462291,5491792,3382198,1991658,1991659,3382187,1991651,1991652,3382188,5491774,8491105,5491911,5491912,8491320,12530037,8491149,5491805,3382207,3382204,2778042,1611630,1611629,2778038,4613557,7309693,11034957,15913291,11034887,10930807,10930808,15779484,15913146,15779492,15103731,15103732,15913335,22014915,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530235,17713332,22014861,15913276,11034878,11034877,15913271,16832552,16832553,23085577,17713176,12530122,8491219,8491218,12530119,17713170,22015091,22015092,22299776,16154339,16154337,22014845,17320392,16154084,16154083,22299528,17512521,12349123,12349122,17512520,15913319,11034908,11034907,255395578,254729332,254729334,254729336,17713327,22299761,25967921,29651629,22299706,17713299,12530219,8491289,7640068,7640069,11223288,7446778,254332798,254332800,1644249,934931,934930,254237039,4704924,4704969,2834309,2834310,4704973,4704949,2834299,1644252,1644253,2834306,4704963,7446698,11223158,12195522,12195523,17320397,23636059,29651529,29651685,22299778,22014790,22014791,23636052,31122085,29651678,22299765,17493720,12334588,8332705,8332706,12334592,16153936,11222963,7446571,7446570,8332735,12334624,15340392,10595699,10595697,11223281,11223279,16154358,22299801,23832375,23832374,28807289,21540196,21540197,17493833,17493835,12334680,8332771,5378101,3307087,1945583,1111470,1111471,1945588,3307095,5378116,8332794,12334714,12334713,11398615,7573826,7573825,11398622,7925506,5038198,5038197,7925504,7299024,7299023,11024365,15902253,17018493,17018494,255824906,23832531,17493897,255133858,8332786,267899382,17107389,254497918,5177679,5177681,8081702,12021556,11178803,11178802,16094559,22228361,16094521,12334633,12334632,16154211,16094552,11178798,11178797,16094551,22228397,16293887,16293889,16293024,11336016,11336017,16293026,16792814,16293041,11336025,7533141,7533140,11336018,16293028,16294019,254781309,4765557,2872761,2872759,4765552,7533518,11336620,7533503,7533502,11336150,16293241,12366852,8356523,5393773,5393775,8356526,11056638,11336004,7533135,7533136,11336008,16293010,16367496,22542898,24817150,29804511,22461661,16293660,16293661,15815204,10959945,7254430,7254429,7254426,7254425,10959943,15815201,21892871,29206234,37767735,47689058,59087846,59087820,59087821,71828115,85415986,85416019,85416020,259889060,127219218,260490810,140564938,140564934,127219210,113360778,259345027,85415979,99359008,113360781,113360825,127219252,127502658,140859023,153246490,153246514,140564976,127219261,113360836,99359057,99359058,260563903,136784375,122954004,108688672,94401432,80347036,66920661,54663964,54663963,259135459,108688656,108688655,108688654,122953986,109357809,95103694,95103693,88080951,74468443,74468442,88080950,102067484,258974644,74468464,88080974,94353948,94353947,108641824,260731557,111669971,97751061,83894163,83894164,81046349,67578518,257910008,54610214,43867444,38421602,29854236,256955341,59715634,72452104,86050713,100013921,100013920,114041199,259481626,127922519,114041203,100013927,86050688,86050687,72452089,59715623,255993174,38421597,48329479,59715619,72452086,86050690,100013929,114041205,114041236,258234906,72452100,59715629,48329483,38421599,29854234,29854235,255993176,257043446,86050709,100013923,100013941,86050702,86050701,86050706,72452097,72452098,269862610,114041218,270893242,114041219,114041220,114041228,100013944,100013945,100013931,86050696,86050695,86050698,100013933,114041214,127922533,260694014,153956196,261294048,262321016,165730617,165730616,260721404,129439718,127962337,114082215,100055956,86093823,86093824,100055947,86093816,86093817,100055948,98797548,87944628,74342157,74342158,72496757,72496758,86093807,100055935,101917018,257654674,113802802,272210435,128819886,256524916,255567332,254852034,40245711,31559374,24054678,17700654,17700655,24054679,31559377,40245719,50265440,50265431,50265430,58647180,47254916,37345538,37345537,47254915,58647179,71382745,58647166,268441430,37345526,256876865,37345509,37345536,257456865,47254918,268617117,21540292,15524201,255411173,21540286,15524195,10736623,10736622,15524193,21540282,28807388,37345505,47254889,58647146,257654676,98883063,109826996,95622557,256003156,55701462,55701463,68098988,72531354,59796241,48411406,48411405,255552596,81588830,95622563,257636920,59796250,59796251,72531359,258773747,59796253,59796252,72531370,59796264,48411424,38505583,38505584,256455086,29846059,22479932,22479931,29846057,38415694,48325222,256999222,48491061,38577810,38577811,48491062,59882600,71428464,58695749,58695750,71428467,85001476,73991454,258858581,71852149,59114223,268934715,37796273,47716854,258098161,85437286,99378293,101554272,87591737,87591736,101554271,115590630,119977071,105742442,91518946,77588071,259033999,258646941,58021658,46648722,271082236,78537923,65247978,53258600,53258599,46648716,46648717,58021652,70736269,65053668,65053667,58940010,47558092,37652823,255805952,58931984,58020665,58020666,48860233,39952855,31277926,255806052,38940657,256833236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655710, s2 = 10174003, dlinesl.size( ) = 2 s1 = 11655710, s2 = 10174003, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11655710, Dl.E( ) = 2, 7.87e-06 seconds used appending s1 = 13360173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8147393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162756, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 225639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352467, s2 = 2001616, int(edited[s2]) = 0 s1 = 10352467, s2 = 2001616, d1 = 19, d2 = 15 Dl.O(d1) = 271862047,258888657,61594608,259016056,12411219,17583652,17583651,256022009,40094050 Dl.O(d2) = 52071036,42286812,255193012,64573214,257088398,268447944,269879993,40371512,31678024,24169821,24084157,17726814,17726816,17828134,23766591,254410102,12292365,17438642,18578241,14213837,14213835,17727241,12541859,12541858,12541719,12541717,17727047,24078889,24078890,17721779,12622468,12622467,17827034,24154146,17786936,17786935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352467, s2 = 2001616, dlinesl.size( ) = 14 s1 = 2139376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2139376, s2 = 6537406, int(edited[s2]) = 0 s1 = 2139376, s2 = 6537406, d1 = 13, d2 = 11 Dl.O(d1) = 257849136,74038047,61258205,49779482,49779481,58270362,46905030,37027761,28529755,28529754,37027759,46905026,47797106,52331817,50333126,40307117,31618839,24113551,24113550,31618838 Dl.O(d2) = 255707704,24023251,31525203,26905115,20021919,14340202,9851802,9851801,14340200,256211591,255878699,15899843,11022502,7297644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2139376, s2 = 6537406, dlinesl.size( ) = 14 s1 = 13271765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1598280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8295327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7906479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7906479, s2 = 8295326, int(edited[s2]) = 0 s1 = 7906479, s2 = 8295326, d1 = 7, d2 = 7 Dl.O(d1) = 34298501,26421902,26421899,29384164,22054051,22054053,28717979,29384120,29384116,37948717,31068332,31068335,39746506,49765011,61243807,58559032,58559031,71290974,61888604,50419267,40384749,31691176,24182658,17814291,17814289,17814298,24182674,31691211,34655048,26663436,26663437,29398276,29398228,29398229,37962579,43934591,34660855,26668360,26668358,34660849,43934581,54677385,47880418,47880417,59275788,55272294,44425022,44425021,268659840,60347179,48950800,48950799,59275815,59275816,55272725,44425522,44416597,43934566,39028532,30439048,23032239,16789244,16789242,23032231,30439029,25319282,18740948,18740950,25318351,33046314,29386624,22056588,22056590,21320190,15349607,15349606,21320188,28543572,37042628,33046293,25318328,25318330,20083875,20083876,26969350,20083872,18740806,13341212,9904696,6509987,4079430,2440846,1411236,1411237,2440850,4079445,6510009,9904734,14399910,20083760,20083761,16944902,16944904,23217276,20084266,255743075,35051336,44426012,47867577,59263113,257284944,59254832,256632264,35050382,255253584,254645402,20084258,20083912,20083914,18125329,12852421,8739982,5689887,3539594,3539596,5689893,8739993,12852443,14400047,14400046,9904836,6510059,6510060,9904840,14400079,20084229,20083670,20083672,26969091,29370221,35051023,32148008,29396769,29396768,32148152,37936721,29370216,29370217,29370236,37936729,35051251,29376403,22045729,15942759,15942760,22045731,29376404,256885608,35051281,26969916,255328067,9904856,9904855,14400099,20084253,26969912,35051273,44425976,37958415,29393822,29393824,37955943,29390888,22060321,22060322,29390890,30890745,23457954,23457953,24956532,18439783,13098611,8926859,5826289,5826244,5826242,3635248,3635247,2793164,1620191,921415,519498,291269,161164,161165,291275,519509,921439,1620241,2793242,4636687,2792927,1620070,921349,921348,519481,519480,921365,1620103,2792993,2791601,2791600,4634203,7336387,11064603,11066856,11066857,15937343,11069696,11069697,15951164,11079654,11079652,11077681,7345415,7249468,254753569,254663294,4667854,2812077,2812078,4667859,7340278,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,4632887,2790911,2790910,4632883,7334016,11060805,15939740,22042521,22064326,22064327,15965383,15965384,256379765,32410595,270472581,59949430,59949431,61676935,270389473,71610359,85174916,89455148,75690086,62742725,51111422,40969107,254278998,16887526,11816423,7894433,7894432,11816407,11817562,7895653,7895652,11817559,16888811,17811160,17361314,12231575,12231574,17361308,23681494,31169682,31687589,31677572,31677573,24197125,24197126,23319651,17055080,17055081,12569693,8551203,8551202,12600952,17071343,12541939,12541940,17727363,17730282,12543953,8503259,8503258,12543949,12543936,12543932,12543126,8572890,8572891,12627221,254279900,17722466,17722465,12600126,254137812,24154902,17787760,17787761,254868850,255584898,268687741,41888542,41888541,41888540 Dl.O(d2) = 34298501,26421902,26421899,29384164,22054051,22054053,28717979,29384120,29384116,37948717,31068332,31068335,39746506,49765011,61243807,58559032,58559031,71290974,61888604,50419267,40384749,31691176,24182658,17814291,17814289,17814298,24182674,31691211,34655048,26663436,26663437,29398276,29398228,29398229,37962579,43934591,34660855,26668360,26668358,34660849,43934581,54677385,47880418,47880417,59275788,55272294,44425022,44425021,268659840,60347179,48950800,48950799,59275815,59275816,55272725,44425522,44416597,43934566,39028532,30439048,23032239,16789244,16789242,23032231,30439029,25319282,18740948,18740950,25318351,33046314,29386624,22056588,22056590,21320190,15349607,15349606,21320188,28543572,37042628,33046293,25318328,25318330,20083875,20083876,26969350,20083872,18740806,13341212,9904696,6509987,4079430,2440846,1411236,1411237,2440850,4079445,6510009,9904734,14399910,20083760,20083761,16944902,16944904,23217276,20084266,255743075,35051336,44426012,47867577,59263113,257284944,59254832,256632264,35050382,255253584,254645402,20084258,20083912,20083914,18125329,12852421,8739982,5689887,3539594,3539596,5689893,8739993,12852443,14400047,14400046,9904836,6510059,6510060,9904840,14400079,20084229,20083670,20083672,26969091,29370221,35051023,32148008,29396769,29396768,32148152,37936721,29370216,29370217,29370236,37936729,35051251,29376403,22045729,15942759,15942760,22045731,29376404,256885608,35051281,26969916,255328067,9904856,9904855,14400099,20084253,26969912,35051273,44425976,37958415,29393822,29393824,37955943,29390888,22060321,22060322,29390890,30890745,23457954,23457953,24956532,18439783,13098611,8926859,5826289,5826244,5826242,3635248,3635247,2793164,1620191,921415,519498,291269,161164,161165,291275,519509,921439,1620241,2793242,4636687,2792927,1620070,921349,921348,519481,519480,921365,1620103,2792993,2791601,2791600,4634203,7336387,11064603,11066856,11066857,15937343,11069696,11069697,15951164,11079654,11079652,11077681,7345415,7249468,254753569,254663294,4667854,2812077,2812078,4667859,7340278,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,4632887,2790911,2790910,4632883,7334016,11060805,15939740,22042521,22064326,22064327,15965383,15965384,256379765,32410595,270472581,59949430,59949431,61676935,270389473,71610359,85174916,89455148,75690086,62742725,51111422,40969107,254278998,16887526,11816423,7894433,7894432,11816407,11817562,7895653,7895652,11817559,16888811,17811160,17361314,12231575,12231574,17361308,23681494,31169682,31687589,31677572,31677573,24197125,24197126,23319651,17055080,17055081,12569693,8551203,8551202,12600952,17071343,12541939,12541940,17727363,17730282,12543953,8503259,8503258,12543949,12543936,12543932,12543126,8572890,8572891,12627221,254279900,17722466,17722465,12600126,254137812,24154902,17787760,17787761,254868850,255584898,268687741,41888542,41888541,41888540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7906479, s2 = 8295326, dlinesl.size( ) = 2 s1 = 7906479, s2 = 8295326, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7906479, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 14921005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14921005, s2 = 6619697, int(edited[s2]) = 0 s1 = 14921005, s2 = 6619697, d1 = 14, d2 = 4 Dl.O(d1) = 439048,247666,136796,74475,40311,22166,22165,22438,12463,6865,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,12301,22080,22499,40941,75601,138709,251367,446702,774329,254209939,2361239,1367146,778659,441935,249041,249037,441964,771921,438483,438480,441874,778851,786644,1382779,2388698,3985481,6163510,6163467,3856558,3856559,3856613,3856609,6161333,3855219,2309803,1340093,765384,435311,435309,765372,1340062,1354238,1354235,2336505,3901265,6230265,6351665,3985300,2388563,2326304,254149917,437325,246892,246891,437323,769414,781364,1372633,2371049,3959049,268929936,8532003,11238251,16170378,12564010,8519084,5517310,254608429,255194389,24117146,31622604 Dl.O(d2) = 256614738,255639906,40623241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14921005, s2 = 6619697, dlinesl.size( ) = 2 s1 = 14921005, s2 = 6619697, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14921005, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 954765, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6630517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6630517, s2 = 6842839, int(edited[s2]) = 0 s1 = 6630517, s2 = 6842839, d1 = 2, d2 = 5 Dl.O(d1) = 256727140 Dl.O(d2) = 259126201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6630517, s2 = 6842839, dlinesl.size( ) = 2 s1 = 6630517, s2 = 6842839, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6630517, Dl.E( ) = 32, 2.88e-05 seconds used appending s1 = 11657904, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9092815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6843058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6843058, s2 = 7873560, int(edited[s2]) = 0 s1 = 6843058, s2 = 7873560, d1 = 1, d2 = 1 Dl.O(d1) = 259131786,16382288,22561587,22561212,22561213,29920275,37391575,37391574,47300747,48374861,48374862,59757261,59757259,72491192,67751254,59179584,47780346,37856724,29288213,29288212,31695805,256492199,17192905,12089469,12089470,17192907,23207533,23207560,256531854,28245991,21046179,21046178,254600948,23990170,23990172,31483834,23986734,17640846,12465225,8433965,8433963,12465208,17640820,23986619,23986616,31483579,33378703,40156867,31472650,23976532,17628978,12449932,254860006,21045964,15116992,15116993,21045966,28244917,28245691,36739274,28244009,21044706,15116194,15116195,21044709,21045156,21045151,255575630,46627903,58003733,256984461,11580791,11580818,7708343,4878414,2939488,2939487,4878412,7708339,11580812,11580751,11580750,11581089,11581087,255497919,20066562,14382473,254687647,4071050,4071049,6496964,9887979,14382467,20066549,14382494,9887997,9887995,14382489,20066587,26951213,35031677,40232575,38171618,35031513,35031514,41666616,41666615,48083646,38171087,29604124,22254355,22254357,29604128,32049250,24483872,24483869,32049244,256740729,26951089,26951090,258199492,11194407,254527529,254352599,7427769,11194411,12454320,12454319,16442379,16442375,11456149,11456150,16442378,12874777,12874778,18155903,24485301,18062294,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,22098216,20171864,20171863,21876686,29188457,25356441,25356443,25356437,25356438,23446634,17171287,12073499,12073497,16115140,16115139,22253238,16115154,11194235,11194233,12700608,8628643,8628642,12700598,17925097,12700589,12700590,12909912,18200909,17925080,17925082,24309793,17925139,17925140,24309873,26607617,26607616,29485141,29485142,35095721,27009329,27009328,35095715,31827038,31827035,24309941,18774376,13370364,13370363,18774373,25356471,33089168,34312976,43414254,36956579,28456145,28456144,31827349,24310005,17925219,17925218,24310003,31827347,35095986,27009572,27009573,256009440,48871587,256558109,31826674,269009737,257689801,258921901,258774836,70886144,58171903,46804474,36926285,28427660,21203997,15238185,10511883,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692955,10843580,7168351,7168350,10843574,7682805,4861195,4861193,7682801,7070426,7070427,8535743,8535744,7070463,4451539,4451538,7070456,8088803,8088807,12031989,12031990,8089296,8089298,9692260,6374932,4000017,4000015,6374929,9692245,14091613,19659276,26393569,29335034,22003896,15903339,11025073,7299451,7299450,11025070,15466893,21468477,18785188,14207655,9767009,6421638,4028610,4028608,6421628,9766919,13556758,18996717,16870512,16870513,23130955,30549130,28314051,21103705,15159026,15159024,17766105,12572175,12572174,17766104,24129433,22962799,16726410,11683872,8089088,5182570,5182572,8089095,12032411,17121982,23393730,30821920,38554904,29985478,22618210,22618211,29985480,38554909,48467537,59858459,258326210,58382646,71099233,258698159,71477584,73469590,87087379,259889638,48021565,256291664,16075409,11162827,11162828,16075411,22205426,29549034,29549129,29549131,28228106,28228107,24153830,254327128,254717476,255376030,26380965,26380966,19646763,16388600,11406291,7579604,7579603,7579494,4794184,4794185,7579586,11406267,11406470,9676236,9676237,14070179,16388590,22219327,20233161,14518952,9990391,6566024,6566023,4684145,2822220,2822222,4684105,2822206,2822208,4684112,4794327,2890038,1677402,954327,954326,1677396,2890025,4793997,7579234,11405697,16387808,16608158,11583416,7710030,267981647,16388632,254872752,4794210,4794209,4684135,4684134,7412983,11173207,16087342,16389043,255204206,11406801,11406803,254617454,16388529,11406223,7579550,4794162,2889950,1677365,1677364,2889945,4794156,7579538,7710048,7710049,11583448,16608198,13736473,9410594,254880006,17832333,12626935,12626936,16053950,16053949,16468074,16468076,17449690,12300668,12300672,17449711,23779743,19209150,17500878,12340102,12340100,17500861,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274914,12252486,17387275,18568907,13195377,13195376,15382715,15382714,12555086,9063071,7075212,7075211,10709496,10710123,10710122,15487904,12539270,8500509,8500508,12539269,12588808,8540840,8540843,12588812,17786447,254813520,17388005,12253045,12253043,12553048,12553047,12559706,12559705,17750924,23794454,23794452,22184144,16057259,11149198,7394832,4671659,2814546,1632882,1632884,2814552,2814529,2814526,4671623,5876064,9000436,10642761,7026512,7026509,10642751,15398600,21381025,28617409,31702123,24194483,17825265,17825263,17386721,17386722,17775171,12579725,8532871,8532872,12579727,17775173,17775184,24139425,25545017,23710644,17387105,17387106,23710646,24104903,17746409,17746408,13486532,13486531,17901678,12681383,12681382,17901666,12681373,12253053,12253052,8275357,5339550,3282054,3282052,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12614350,12553039,12553037,8511090,8511094,8302911,5357000,3292807,1936546,1106129,1106130,1936555,3292828,5357049,8303007,8308427,5360905,3295525,3295523,5360900,8308420,12301373,17450641,254089322,17449840,15489882,10711532,10711531,15489879,254314910,17589784,23858778,17515551,12351566,8345053,5386198,3312061,3312060,5386195,5386211,5386210,8345080,8345118,12351692,17515736,22095073,23480079,17197059,17197060,254688278,32328198,41142270,51326515,60568474,60568475,73311479,257085380,52433687,42085602,33134202,25396503,25396502,33134200,42085598,49754391,39735625,31057446,31057447,37013431,46892671,52433675,52433676,64294324,59461685,48071046,48071045,48874083,49754410,59025564,47622202,37698938,37698939,47622203,46897036,46897037,58263930,59933250,72672627,61233470,255595172,48734157,48734158,58259666,61233453,74014018,81573365,68083503,58263771,256313232,28520111,21299093,15331326,10588772 Dl.O(d2) = 259131786,16382288,22561587,22561212,22561213,29920275,37391575,37391574,47300747,48374861,48374862,59757261,59757259,72491192,67751254,59179584,47780346,37856724,29288213,29288212,31695805,256492199,17192905,12089469,12089470,17192907,23207533,23207560,256531854,28245991,21046179,21046178,254600948,23990170,23990172,31483834,23986734,17640846,12465225,8433965,8433963,12465208,17640820,23986619,23986616,31483579,33378703,40156867,31472650,23976532,17628978,12449932,254860006,21045964,15116992,15116993,21045966,28244917,28245691,36739274,28244009,21044706,15116194,15116195,21044709,21045156,21045151,255575630,46627903,58003733,256984461,11580791,11580818,7708343,4878414,2939488,2939487,4878412,7708339,11580812,11580751,11580750,11581089,11581087,255497919,20066562,14382473,254687647,4071050,4071049,6496964,9887979,14382467,20066549,14382494,9887997,9887995,14382489,20066587,26951213,35031677,40232575,38171618,35031513,35031514,41666616,41666615,48083646,38171087,29604124,22254355,22254357,29604128,32049250,24483872,24483869,32049244,256740729,26951089,26951090,258199492,11194407,254527529,254352599,7427769,11194411,12454320,12454319,16442379,16442375,11456149,11456150,16442378,12874777,12874778,18155903,24485301,18062294,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,22098216,20171864,20171863,21876686,29188457,25356441,25356443,25356437,25356438,23446634,17171287,12073499,12073497,16115140,16115139,22253238,16115154,11194235,11194233,12700608,8628643,8628642,12700598,17925097,12700589,12700590,12909912,18200909,17925080,17925082,24309793,17925139,17925140,24309873,26607617,26607616,29485141,29485142,35095721,27009329,27009328,35095715,31827038,31827035,24309941,18774376,13370364,13370363,18774373,25356471,33089168,34312976,43414254,36956579,28456145,28456144,31827349,24310005,17925219,17925218,24310003,31827347,35095986,27009572,27009573,256009440,48871587,256558109,31826674,269009737,257689801,258921901,258774836,70886144,58171903,46804474,36926285,28427660,21203997,15238185,10511883,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692955,10843580,7168351,7168350,10843574,7682805,4861195,4861193,7682801,7070426,7070427,8535743,8535744,7070463,4451539,4451538,7070456,8088803,8088807,12031989,12031990,8089296,8089298,9692260,6374932,4000017,4000015,6374929,9692245,14091613,19659276,26393569,29335034,22003896,15903339,11025073,7299451,7299450,11025070,15466893,21468477,18785188,14207655,9767009,6421638,4028610,4028608,6421628,9766919,13556758,18996717,16870512,16870513,23130955,30549130,28314051,21103705,15159026,15159024,17766105,12572175,12572174,17766104,24129433,22962799,16726410,11683872,8089088,5182570,5182572,8089095,12032411,17121982,23393730,30821920,38554904,29985478,22618210,22618211,29985480,38554909,48467537,59858459,258326210,58382646,71099233,258698159,71477584,73469590,87087379,259889638,48021565,256291664,16075409,11162827,11162828,16075411,22205426,29549034,29549129,29549131,28228106,28228107,24153830,254327128,254717476,255376030,26380965,26380966,19646763,16388600,11406291,7579604,7579603,7579494,4794184,4794185,7579586,11406267,11406470,9676236,9676237,14070179,16388590,22219327,20233161,14518952,9990391,6566024,6566023,4684145,2822220,2822222,4684105,2822206,2822208,4684112,4794327,2890038,1677402,954327,954326,1677396,2890025,4793997,7579234,11405697,16387808,16608158,11583416,7710030,267981647,16388632,254872752,4794210,4794209,4684135,4684134,7412983,11173207,16087342,16389043,255204206,11406801,11406803,254617454,16388529,11406223,7579550,4794162,2889950,1677365,1677364,2889945,4794156,7579538,7710048,7710049,11583448,16608198,13736473,9410594,254880006,17832333,12626935,12626936,16053950,16053949,16468074,16468076,17449690,12300668,12300672,17449711,23779743,19209150,17500878,12340102,12340100,17500861,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274914,12252486,17387275,18568907,13195377,13195376,15382715,15382714,12555086,9063071,7075212,7075211,10709496,10710123,10710122,15487904,12539270,8500509,8500508,12539269,12588808,8540840,8540843,12588812,17786447,254813520,17388005,12253045,12253043,12553048,12553047,12559706,12559705,17750924,23794454,23794452,22184144,16057259,11149198,7394832,4671659,2814546,1632882,1632884,2814552,2814529,2814526,4671623,5876064,9000436,10642761,7026512,7026509,10642751,15398600,21381025,28617409,31702123,24194483,17825265,17825263,17386721,17386722,17775171,12579725,8532871,8532872,12579727,17775173,17775184,24139425,25545017,23710644,17387105,17387106,23710646,24104903,17746409,17746408,13486532,13486531,17901678,12681383,12681382,17901666,12681373,12253053,12253052,8275357,5339550,3282054,3282052,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12614350,12553039,12553037,8511090,8511094,8302911,5357000,3292807,1936546,1106129,1106130,1936555,3292828,5357049,8303007,8308427,5360905,3295525,3295523,5360900,8308420,12301373,17450641,254089322,17449840,15489882,10711532,10711531,15489879,254314910,17589784,23858778,17515551,12351566,8345053,5386198,3312061,3312060,5386195,5386211,5386210,8345080,8345118,12351692,17515736,22095073,23480079,17197059,17197060,254688278,32328198,41142270,51326515,60568474,60568475,73311479,257085380,52433687,42085602,33134202,25396503,25396502,33134200,42085598,49754391,39735625,31057446,31057447,37013431,46892671,52433675,52433676,64294324,59461685,48071046,48071045,48874083,49754410,59025564,47622202,37698938,37698939,47622203,46897036,46897037,58263930,59933250,72672627,61233470,255595172,48734157,48734158,58259666,61233453,74014018,81573365,68083503,58263771,256313232,28520111,21299093,15331326,10588772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6843058, s2 = 7873560, dlinesl.size( ) = 2 s1 = 6843058, s2 = 7873560, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6843058, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9462920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9462920, s2 = 6002714, int(edited[s2]) = 0 s1 = 9462920, s2 = 6002714, d1 = 2, d2 = 0 Dl.O(d1) = 152447828,139722149,126346196,112478563,98486952,84563763,258666976,58284641,58284642,64420090,52546020,42187296,33227114,25478806,18877080,256219395,26999272,31325479,23834747,17495708,12336094,8333720,8333718,12336086,15476988,15476989,21480011,24188898,24188899,26159791,26159794,34001501,41485560,32606708,24942982,18429214,18429215,24188902,17820310,12617098,8564505,8564504,12617096,17820308,24188900,31696599,40389254,50423108,61913313,74706643,88334167,258726814 Dl.O(d2) = 84627143,71063440,58346976,255875438,28587971,21357026,15379706,10628030,10628028,15379701,21357017,28587956,33544291,38157439,30192905,29389788,29389787,29591101,29591100,38157285,48069756,59460359,258748387,99745137,113759350,127628081,140977625,262231543,176108263,185572737,193832339,200913862,206888683,211824437,215856531,219191663,222006664,224423972,226523551,228353021,229958765,228353019,228353020,229958766,231383413,232660470,233814497,234864332,235820887,236691765,237485426,238205944,238862274,239465364,239465363,240022697,240539442,241019018,241462947,241875216,242255494,242607565,242935145,243240599,267249483,243791153,244037104,244265709,244478188,244676871,244862244,245036962,245200674,267437709,245633852,245759689,245877995,245989227,267518565,267539331,246458344,246537296,246612499,246682463,246748119,246810678,267612725,247084864,267628201,247204362,247239006,247272365,247303793,247332833,247359677,247385228,247409901,247434037,247457266,247479342,247500290,247517973,247498358,247477392,247455271,247431756,247407418,247382646,247357082,247330042,247300871,247269331,247235823,247200798,267611842,247080313,247031717,246979270,267579646,246803802,246740529,246674328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9462920, s2 = 6002714, dlinesl.size( ) = 2 s1 = 9462920, s2 = 6002714, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9462920, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 6469005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7562397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6877141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1262080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1262080, s2 = 2873847, int(edited[s2]) = 0 s1 = 1262080, s2 = 2873847, d1 = 39, d2 = 9 Dl.O(d1) = 31709483,31709484,26112548,19419770,13893737,13893736,13336265,13336267,9533001,6253562,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253376,3914725,3728160,2232057,2232054,254441377,9111843 Dl.O(d2) = 85890696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1262080, s2 = 2873847, dlinesl.size( ) = 2 s1 = 1262080, s2 = 2873847, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1262080, Dl.E( ) = 46, 1.91e-05 seconds used appending s1 = 6469880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6469880, s2 = 6438931, int(edited[s2]) = 0 s1 = 6469880, s2 = 6438931, d1 = 6, d2 = 9 Dl.O(d1) = 254884190 Dl.O(d2) = 254425820,17835323,24205002,31712637,255212998,61929123,257119242 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1262546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1602869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6527041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1263043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1263043, s2 = 6826746, int(edited[s2]) = 0 s1 = 1263043, s2 = 6826746, d1 = 1, d2 = 27 Dl.O(d1) = 31726010 Dl.O(d2) = 258913756,63326452,256957256,61665544,50180184,41377657,41377656,48370096,38468550,33878840,26055767,19374810,19374811,26055769,256687615,47282748,268228612,21562614,15541230,10748289,7101146,4470985,2686234,1556068,884705,499202,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556466,7558160,4779312,2880197,2880198,4776637,4776638,7103194,4472158,4472157,7103189,10748990,10748991,7554551,4777205,2879125,1670894,1670895,2879131,4777217,7553769,4778562,2879786,1671209,950824,950825,1671216,1671302,1671303,950885,950883,1671331,2880012,2880709,2880714,4780328,7559842,11378996,16349687,16349686,254392064,16341060,11369935,11369936,16341063,20125182,20125183,22507198,22502962,22502963,22528271,22528270,27015783,23857887,17514762,12350936,12350935,17514760,23857885,23857889,23634412,17318498,12193746,9966022,9966025,6549985,6549987,8241894,7552477,4776089,4776087,7552468,11368026,11368152,11360251,11360208,11360209,11360227,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248914,12218666,11360905,7547967,5283047,5283042,6524820,6524822,6524847,6524848,9928061,14432909,20124669,27016533,31059073,23577051,17307094,12184119,12184120,17307097,23621622,31106741,23628995,23628994,31098747,23615028,23566283,23566282,254836486,29871823,254394470,27018343,29362059,22031356,17513298,17513208,17513210,13330502,13330501,16331513,11362673,7549117,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545207,8210112,8210110,12178488,11354523,11354524,16320534,11354685,7544266,4771685,4771684,7544260,11354676,16320766,16321058,11354848,11354847,11348778,11348780,12514374,11354869,11354831,7544349,4771721,2876356,1669583,950051,950052,1669588,1669566,950045,950044,1669560,2876313,3722667,5952674,9098168,13317647,18710804,21102937,22390646,16327371,11359165,7546872,4773036,4773034,7546864,11359148,16311842,16311840,22483501,16951141,11863779,7928836,5040327,3051512,1777657,1777658,3051522,5040349,7928883,9107812,9107813,13329675,18724714,25299288,33025463,33025462,41968426,52308746,48324105,38413579,29842134,22475028,16304934,16304935,22475031,29842143,38413587,30332855,22931955,22931951,29840578,29840579,29843273,22479972,16308942,11347244,7540235,4769652,2875327,1669121,1669119,2875322,4769645,7540221,11343794,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875420,4769826,267977223,16310044,255155808,254577144,22973661,21398571,15412478,15412479,11345131,7539113,4769125,4769124,7539108,11345123,16305724,22476082,22481178,16309887,16309886,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15919234,22019953,21296599,21296600,17512883,12349388,12349387,14570706,14570705,14570561,14570562,14570577,10026489,6589675,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337367,17514744,12350919,8344564,8344563,12142697,14570252,11035251,11035250,7628209,7628210,11468119,8174577,8174574,12144827,16330214,15929644,15929643,14433618,12158164,8188728,5258273,5258275,8188737,7312243,4615489,4615488,4879774,4879775,7710586,11377513,12206000,8237903,7539615,7539617,9930120,12196440,12196444,12139727,12139728,17259802,14433983,14431081,9926770,9926506,9926504,11375815,11375814,16339507,17514550,17514546,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550440,5959693,3727016,2877281,2877283,4773590,7547904,8166701,12136757,17256796,20124937,27016693,29863864,22501694,16327433,16327434,20125976,17332352,17332353,23649332,23570910,23570911,17288069,13330708,9108457,9108456,11362651,7549109,7549108,7549119,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,11355352,7544623,4771856,4771857,7544627,7542064,4770567,4770566,7542062,11350657,7839717,7839716,11742197,13851495,9502201,6232530,6232529,9502197,13851489,19364981,17313638,12189153,12189154,16234006,22394041,23543901,23543902,29860757,22497631,22497630,29860754,29860262,29860263,254583740,17282979,17282980,23595261,23636405,22495638,16321803,16321805,17320628,22480501,16309320,16309321,17287025,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,21568541,21568527,15546287,10752088,7546895,4773061,4773058,7546928,11359267,16327530,22494529,22493081,22493082,21568324,21568323,22492980,16562394,16562393,22492912,22494313,28840049,28840048,22495901,16322035,16322034,22495900,25082798,23543930,17235700,17235701,23543934,31025156,29755002,22394371,16234346,11286303,11286302,16234342,16316167,16318026,16318027,17337030,12211127,12211124,11349406,11349407,16312467,16335113,11365424,7550833,7550834,254230910,13852036,19365720,258455011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1263043, s2 = 6826746, dlinesl.size( ) = 28 s1 = 8084397, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1257661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1257661, s2 = 11355072, int(edited[s2]) = 0 s1 = 1257661, s2 = 11355072, d1 = 3, d2 = 61 Dl.O(d1) = 31620106,40308560 Dl.O(d2) = 262572355,162462622,150327398,150327399,137285754,123553650,259781767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1257661, s2 = 11355072, dlinesl.size( ) = 22 s1 = 14163494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163494, s2 = 1263484, int(edited[s2]) = 0 s1 = 14163494, s2 = 1263484, d1 = 6, d2 = 6 Dl.O(d1) = 187446089,263263820,156183291,262368776,130328641,116493226,102398621,88397615,74763461,61963178,50467289,40429337,31735115 Dl.O(d2) = 187446089,263263820,156183291,262368776,130328641,116493226,102398621,88397615,74763461,61963178,50467289,40429337,31735115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163494, s2 = 1263484, dlinesl.size( ) = 2 s1 = 14163494, s2 = 1263484, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163494, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8040247, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 958621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 958621, s2 = 2807148, int(edited[s2]) = 0 s1 = 958621, s2 = 2807148, d1 = 0, d2 = 35 Dl.O(d1) = 24241709,31753607 Dl.O(d2) = 98335948,84426324,84426323,260504631,112318863,112318862,126179513,112318861,260504629,112318866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 7880515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880515, s2 = 14854246, int(edited[s2]) = 0 s1 = 7880515, s2 = 14854246, d1 = 42, d2 = 59 Dl.O(d1) = 19067192,19067194,25642599,19025571,13580047,9298458,254449473,2282964,2282962,3811159,6091204,9298439,254935483,9344220,9344305,13646212,16189236,268116179,8482716,5483561,5483560,8482715,12520603,17701431,20285044,255983919,31753622,29798463,22431936,16264447,11308122,11308123,16264448,19004568,256141223,25135861,18582026,13205139,9001855,9001854,255244723,25135851,32840809,25624847,25624846,268370020,20284782,20284783,25135450,22433153,16265439,11308779,11308780,13567547,9289325,6085276,6085275,8439419,5449224,3349889,3349886,5449192,5449193,8439360,12470122,16014765,16014766,22000546,29331127,31756210,31756209,40450163,40450162,40449649,31754699,31754697,28060303,20890010,255002077,10317933,14986464,20890009,256149745,25739716,33477854,25704497,24246440,22433028,16265318,11308690,11308693,11119404,7375318,7375319,11119414,13669869,11307883,11307880,16264051,19009810,22432789,16265132,11308569,7507992,7507991,11308560,12652164,8590271,8590273,8590188,5581807,3463293,2053972,1178493,661767,366948,366949,661772,1178508,2054009,3463421,5582066,8590653,8593303,5583622,5583362,5583365,255592453 Dl.O(d2) = 39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39719,73376,134928,133847,133846,241993,428745,754612,1322609,2280533,2280524,2280523,2281508,2281509,3808649,267812402,2287765,3818692,6103117,6121917,8247858,8247859,8096132,8096131,255535799,255849595,21641052,19107272,19107270,17865558,12651633,8589977,8589978,9290032,9646156,6342262,6073938,3800413,3800414,6073941,9272710,6085907,3807957,2281012,2281013,1706057,969812,969809,1706045,2941799,3834485,3834482,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,9289956,10484863,10484862,15201247,13630736,9333558,6113651,3825244,2291807,2291806,3825241,6113648,9333554,10514120,13674739,19150710,24111422,18983128,13546129,13546131,13204393,9001422,9001421,12462292,8431113,8431111,12462288,17638122,23984077,29058844,21763378,21763377,255131020,20913366,15008191,10338197,6805436,4268088,2551765,1469924,1459351,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2228648,1292498,737661,737665,1292513,2228668,3722022,254643997,6765649,6810922,6810921,10287595,10287594,10346314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880515, s2 = 14854246, dlinesl.size( ) = 34 s1 = 1264549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8351356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2182144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2182144, s2 = 6629698, int(edited[s2]) = 0 s1 = 2182144, s2 = 6629698, d1 = 1, d2 = 1 Dl.O(d1) = 59134890,59134891,52014178,41703645,41703647,32788328,25090615,25090614,24283350,24283348,31797272,40492265,34316986,26438277,256711635,49431980,256138478,31197679,256509967,258248467 Dl.O(d2) = 59134890,59134891,52014178,41703645,41703647,32788328,25090615,25090614,24283350,24283348,31797272,40492265,34316986,26438277,256711635,49431980,256138478,31197679,256509967,258248467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2182144, s2 = 6629698, dlinesl.size( ) = 2 s1 = 2182144, s2 = 6629698, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2182144, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8746334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9073089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9073089, s2 = 14163027, int(edited[s2]) = 0 s1 = 9073089, s2 = 14163027, d1 = 1, d2 = 1 Dl.O(d1) = 11089702,11089703,15975065,22080701,22332443,254777424,28763655,22332440,16185741,11250864,11250863,16185739,22332437,29684221,37974694,37974693,47892553,59288553,258412664,77737213,72279008,72279009,72279014,257528456,84901105,256948266,270322905,99563719,85613420,72025017,59288555,59288554,72025015,77737217,91665014,105873258,120086164,112120949,98161661,91665537,77737788,77737789,85870437,99823178,113837649,105873768,91665543,77737794,64555510,52655959,42270082,257014220,58000681,58000682,70716867,84267920,84396247,70838806,70838807,70838808,70838809,84396250,98305389,99932366,85974928,85974930,99932369,113955038,270335086,113955049,113955048,127834262,140562946,259367992,85974944,99932384,113955050,127834264,141196157,153576787,140903334,127548944,127548945,140903335,141499330,128138211,128138210,114251758,100217927,86250959,72649838,72649840,86250962,100217932,258412626,128138257,128138256,141499357,128138240,116246603,102184332,88192589,88192590,102184334,260282446,102184328,116246600,130157762,143488461,156026446,260877580,154164686,154164687,164536268,261444542,164536263,152695243,152695242,164536262,164536260,152695240,139997896,139997897,152695241,152695250,152695251,144381836,131149788,131149787,144381834,133929868,259666564,116146691,105873762,257797000,77737750,64555457,52655911,52655912,257205972,52655933,64555458,52655939,42270044,33289825,25529176,25529177,33289827,42270048,52655942,52655894,42269996,33289771,33289770,42269995,42270103,33289875,25529233,18919297,18919298,18919227,18919226,25529108,33289739,37988556,29427155,29427157,268494574,33289767,42269990,52655889,44357383,34979912,34979913,42269973,50394959,40494773,31799723,24285720,17904896,17904897,24285722,18919228,18919230,25529116,29432747,29432749,33289674,25529050,22096282,21341122,21341123,24486251,18063054,18063053,24486248,32051785,40811767,40811772,40811771,50530551,47941262,38027571,38027572,47941264,47911186,39346395,39346394,31799734,31799733,40494791,40494770,31799721,31799722,26956047,26956048,31799720,37071217,37071218,46950999,52655345,42269425,42269424,42269339,33289164,33289163,33289718,33289242,33289243,42269433,48668607,52655256,42269372,42269373,52655238,42270109,33289879,25529238,25529239,25529134,18919239,18919240,25529138,33289779,42269939,52655846,257205936,77737718,268298308,52655879,64555435,52655870,42269961,42269962,42270034,33289816,25529168,256133621,25529173,25529175,31665256,40359879,42269922,42269923,52655836,42269985,33289764,33289765,42269988,42269955,33289809,25529165,25529166,33289787,25529142,18919242,18919241,25529125,25529124,33289767,42269990,52655889,44357383,34979912,34979913,42269973,50394959,40494773,34602608,34602607,33289846,25529196,18919265,18919263,25529190,256545416,64554964,52655347,42269427,42269428,52655349,60762322,49359024,47911211,40494790,40494791,40494770,31799721,31799722,26956047,26956048,31799720,37071217,28568662,28568663,29427165,269173334,9755250,6414227,4023993,254212787,793586,449429,449430,793589,1395391,1270812,1270811,1272868,1272870,1398422,795818,451017,451015,795812,1271932,2191217,1273019,727771,414103,414104,254095691,256346,454899,256355,141952,141953,256356,454914,744490,744488,726791,726792,254145611,415374,415375,726847,726849,802630,455147,256485,256484,414366,414367,728158,802628,1275152,1272770,1271534,726550,413212,233276,128567,128566,233272,413204,726537,1271245,802623,728514,728517,812851,741895,741896,743505,726752,726753,729491,415406,415339,234727,234726,415332,415708,415709,729938,460401,254084117,144022,259642,460404,812412,808508,808507,796209,796210,813313,464621,261552,261553,426130,240674,133166,133167,240680,426136,425146,240024,132747,132746,142868,142867,257843,457373,459712,811260,267749033,259549,143936,79162,43316,43317,79164,143939,259507,259508,267749127,419587,236775,130619,130617,236771,419584,451372,254328,140741,77039,77040,140743,254095457,144192,144191,133126,133127,131102,71126,254071271,21184,21194,38512,71160,267735375,23151,12881,12882,23157,41948,77065,140776,141146,132572,132571,77492,43326,43327,43369,24070,13440,13439,24068,43364,77396,141221,143364,254077185,77551,78862,143544,258860,144097,79270,43384,42438,42439,77850,78655,79527,43590,43592,79532,144430,260221,461300,813848,1430715,2475374,4138634,6607299,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,22944108,22944109,30345476,30066749,22946377,16710087,16710088,22946379,24146987,31657089,38353831,29781186,22415757,22415756,29781181,35432674,44871460,44871243,35432399,35432398,41447220,39104452,39104451,48851427,59951805,255124090,44871010,40351992,254916842,59951804,59947928,255255386,40920899,40920898,51061462,268293400,32484358,24842425,24842426,23092877,23092878,30507802,39104436,254209226,34164519,30511225,23095794,16840227,11776549,7862725,4990560,4990561,3890111,3890110,6215074,9478254,13820162,19326358,25998125,25998143,33815013,28128539,20950607,15041812,10369071,10369069,15041810,20950604,256283671,26329773,26329772,254956304,53826610,49912289,39892088,36779038,28282899,21077690,15140330,10442310,6883985,6883984,10442308,255379103,28282887,36779020,46664267,58036881,70751105,84302747,259893531,125997561,261626649,163915437,174725094,184340610,175339560,260659858,140051667,126704341,126704342,123981014,109841521,256463040,68116811,55720502,44814013,255132228,27263865,35389330,44814014,55720505,68116815,81605392,73208027,60461068,60461054,60461055,73208019,86820841,81292558,81292559,95349046,109601687,123789816,126310541,114434786,114434785,271353654,258797894 Dl.O(d2) = 11089702,11089703,15975065,22080701,22332443,254777424,28763655,22332440,16185741,11250864,11250863,16185739,22332437,29684221,37974694,37974693,47892553,59288553,258412664,77737213,72279008,72279009,72279014,257528456,84901105,256948266,270322905,99563719,85613420,72025017,59288555,59288554,72025015,77737217,91665014,105873258,120086164,112120949,98161661,91665537,77737788,77737789,85870437,99823178,113837649,105873768,91665543,77737794,64555510,52655959,42270082,257014220,58000681,58000682,70716867,84267920,84396247,70838806,70838807,70838808,70838809,84396250,98305389,99932366,85974928,85974930,99932369,113955038,270335086,113955049,113955048,127834262,140562946,259367992,85974944,99932384,113955050,127834264,141196157,153576787,140903334,127548944,127548945,140903335,141499330,128138211,128138210,114251758,100217927,86250959,72649838,72649840,86250962,100217932,258412626,128138257,128138256,141499357,128138240,116246603,102184332,88192589,88192590,102184334,260282446,102184328,116246600,130157762,143488461,156026446,260877580,154164686,154164687,164536268,261444542,164536263,152695243,152695242,164536262,164536260,152695240,139997896,139997897,152695241,152695250,152695251,144381836,131149788,131149787,144381834,133929868,259666564,116146691,105873762,257797000,77737750,64555457,52655911,52655912,257205972,52655933,64555458,52655939,42270044,33289825,25529176,25529177,33289827,42270048,52655942,52655894,42269996,33289771,33289770,42269995,42270103,33289875,25529233,18919297,18919298,18919227,18919226,25529108,33289739,37988556,29427155,29427157,268494574,33289767,42269990,52655889,44357383,34979912,34979913,42269973,50394959,40494773,31799723,24285720,17904896,17904897,24285722,18919228,18919230,25529116,29432747,29432749,33289674,25529050,22096282,21341122,21341123,24486251,18063054,18063053,24486248,32051785,40811767,40811772,40811771,50530551,47941262,38027571,38027572,47941264,47911186,39346395,39346394,31799734,31799733,40494791,40494770,31799721,31799722,26956047,26956048,31799720,37071217,37071218,46950999,52655345,42269425,42269424,42269339,33289164,33289163,33289718,33289242,33289243,42269433,48668607,52655256,42269372,42269373,52655238,42270109,33289879,25529238,25529239,25529134,18919239,18919240,25529138,33289779,42269939,52655846,257205936,77737718,268298308,52655879,64555435,52655870,42269961,42269962,42270034,33289816,25529168,256133621,25529173,25529175,31665256,40359879,42269922,42269923,52655836,42269985,33289764,33289765,42269988,42269955,33289809,25529165,25529166,33289787,25529142,18919242,18919241,25529125,25529124,33289767,42269990,52655889,44357383,34979912,34979913,42269973,50394959,40494773,34602608,34602607,33289846,25529196,18919265,18919263,25529190,256545416,64554964,52655347,42269427,42269428,52655349,60762322,49359024,47911211,40494790,40494791,40494770,31799721,31799722,26956047,26956048,31799720,37071217,28568662,28568663,29427165,269173334,9755250,6414227,4023993,254212787,793586,449429,449430,793589,1395391,1270812,1270811,1272868,1272870,1398422,795818,451017,451015,795812,1271932,2191217,1273019,727771,414103,414104,254095691,256346,454899,256355,141952,141953,256356,454914,744490,744488,726791,726792,254145611,415374,415375,726847,726849,802630,455147,256485,256484,414366,414367,728158,802628,1275152,1272770,1271534,726550,413212,233276,128567,128566,233272,413204,726537,1271245,802623,728514,728517,812851,741895,741896,743505,726752,726753,729491,415406,415339,234727,234726,415332,415708,415709,729938,460401,254084117,144022,259642,460404,812412,808508,808507,796209,796210,813313,464621,261552,261553,426130,240674,133166,133167,240680,426136,425146,240024,132747,132746,142868,142867,257843,457373,459712,811260,267749033,259549,143936,79162,43316,43317,79164,143939,259507,259508,267749127,419587,236775,130619,130617,236771,419584,451372,254328,140741,77039,77040,140743,254095457,144192,144191,133126,133127,131102,71126,254071271,21184,21194,38512,71160,267735375,23151,12881,12882,23157,41948,77065,140776,141146,132572,132571,77492,43326,43327,43369,24070,13440,13439,24068,43364,77396,141221,143364,254077185,77551,78862,143544,258860,144097,79270,43384,42438,42439,77850,78655,79527,43590,43592,79532,144430,260221,461300,813848,1430715,2475374,4138634,6607299,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,22944108,22944109,30345476,30066749,22946377,16710087,16710088,22946379,24146987,31657089,38353831,29781186,22415757,22415756,29781181,35432674,44871460,44871243,35432399,35432398,41447220,39104452,39104451,48851427,59951805,255124090,44871010,40351992,254916842,59951804,59947928,255255386,40920899,40920898,51061462,268293400,32484358,24842425,24842426,23092877,23092878,30507802,39104436,254209226,34164519,30511225,23095794,16840227,11776549,7862725,4990560,4990561,3890111,3890110,6215074,9478254,13820162,19326358,25998125,25998143,33815013,28128539,20950607,15041812,10369071,10369069,15041810,20950604,256283671,26329773,26329772,254956304,53826610,49912289,39892088,36779038,28282899,21077690,15140330,10442310,6883985,6883984,10442308,255379103,28282887,36779020,46664267,58036881,70751105,84302747,259893531,125997561,261626649,163915437,174725094,184340610,175339560,260659858,140051667,126704341,126704342,123981014,109841521,256463040,68116811,55720502,44814013,255132228,27263865,35389330,44814014,55720505,68116815,81605392,73208027,60461068,60461054,60461055,73208019,86820841,81292558,81292559,95349046,109601687,123789816,126310541,114434786,114434785,271353654,258797894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9073089, s2 = 14163027, dlinesl.size( ) = 2 s1 = 9073089, s2 = 14163027, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9073089, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 9384532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9384532, s2 = 11095628, int(edited[s2]) = 0 s1 = 9384532, s2 = 11095628, d1 = 22, d2 = 15 Dl.O(d1) = 189955888,181091915,170986604,159671513,147323427,134111387,120279851,106078567,106078566,91882835,77957621,77957622,77957619,64762284,257217275,33444337,42437255,42006599,42006598,42006596,33062876,33062877,25333790,25333789,33062880,257188487,25333786,33062796,25333735,25333734,33062795,25334530,18755152,13354537,13354538,18755153,25334532,254970860,9753936,9753935,254465761,2410609,4023254,6413314,9753942,9753929,6413306,4023249,4023250,6413308,9753932,255314045,26618093,256722519,43876964,37923385,29356999,22026556,255880693,37923382,257498925,65133456,78415074,70304807,57614238,46269699,46269698,256704275,34195091,43292811,258476387,74701423,61907926,50417503,50417502,50417511,40383103,40383104,40383083,40383084,50417485,40383090,255421236,24180690,31262333,31262334,255049938,61432663,74211812,87815671,101788320,115834610,129733991,143065595,136748799,122916734,108651477,94363354,80306644,73537433,60790308,60790309,73537435,87155719,101153652,101153648,101153649,115230947,107640621,93237173,93237172,87155723,73537437,73537438,65764781,65764782,79120665,93237167,79120662,259100125,107640617,107640615,107640616,122015670,119187357,259629965,76939074,86599756,100561141,114592848,271823266,128165961,114282373,100251970,100251971,270855149,72690884,59952615,48560507,38645200,38645192,30069715,22690443,16489641,16489642,22690405,22690429,22690427,30069733,38645218,33748097,33748096,42779180,53230644,65219358,78508279,92554357,98422617,258056286,71038252,58322745,47114566,37217391,37217392,47114562,53230647,65219363,65186874,53201820,42752840,33723570,33723569,42752839,53201819,65186873,270073011,53919785,43394684,34294815,33724838,33061969,25332909,18753669,13353028,254939949,9393941,13628345,9332053,7166817,7166819,6529906,4091539,4091538,5717760,3559480,254429499,254891755,11000412,10601911,6994877,6994878,9920513,9920514,14422058,18770206,18770207,21343933,15369081,10619426,10619425,15347202,10601310,6994411,4395651,2634082,1521136,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,3733064,2235148,1296265,739864,739865,1296267,2235151,2100949,1209673,1209672,2100947,3530288,5676080,8720130,12825739,18090806,20107801,14418185,9916625,6517080,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443301,4083622,4084622,3530172,3530173,5675874,6519816,6519815,9920146,9551867,6267523,6163227,3856396,3856397,6163233,9407014,13731755,18510392,13151329,8963781,8963780,12977138,255228321,14418240,11209765,7437833,7437832,11209761,15353424,15353423,13194285,8994718,5872489,5872491,5611963,5611959,6153974,3850501,2306975,2306973,3850516,5872498,4398722,4398721,3859087,2311892,2311893,3859091,6167531,6530436,9936040,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,4427185,4427184,4024614,2411803,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300021,2763031,1601743,1601740,2763080,4592637,7282518,11001304,15872342,254085850,6530067,4091651,2448019,1415410,1415408,2448016,4091645,6530054,9548525,13912675,9599097,6303002,6303001,9599095,9450865,9450864,9428761,6178367,267936241,10684018,15452307,19682215,14110540,14110541,19682217,26418713,21449468,21449469,28701787,37227890,34294976,26418710,26418711,256698939,26241450,19524280,19524281,26241452,34104913,43190648,53702358,43190653,34104918,26241454,19524282,255710203,34104920,43190658,53702369,65759459,65759455,65759456,79115708,93232585,79115711,79115710,71027983,71027982,66897198,54639736,54639737,270060389,66910154,54653150,54639731,43896665,43190642,34104908,34104909,37066638,46945792,46945785,46945780,37066624,37066618,37066619,46945776,46945794,55717963,44811389,35386810,35386812,35749496,27516321,20506938,14711895,14711894,19518808,13972151,13972152,19518813,26235503,34098378,28210656,21017358,21017359,24829545,18336350,18336352,15095186,15095185,10411037,10411038,15095231,21017303,21017262,15095129,15095130,15094988,15094987,21017039,21017066,26224002,19509346,19509347,25235532,18666462,18666465,15012416,10341670,6808312,6808313,6977532,10577627,15315099,21017386,21017385,28210691,28210666,27002211,23093547,23093549,26683326,20506933,20506932,21924867,21924866,26235487,22345607,16196099,15837028,15837029,21922338,29241486,27215706,20287363,14557398,14557399,10411031,6862760,4307048,2575385,1483299,1483297,2575378,4307032,6862708,6862685,6862686,10410915,15095010,21017078,28210288,34084925,36563205,28093043,20918734,15095086,10410961,10410959,15095081,21017167,26962125,26962123,35042335,39414799,39414800,49344435,46588388,36701670,28210595,28210593,36701667,41508301,32625015,32625017,28210461,21017210,21017211,28210463,36701538,46588251,57816185,57816186,57964556,46588095,46588094,46588093,57964553,57964938,51783264,51783267,57964809,48559685,38644421,30069028,30069029,38644426,36733344,36733345,45315900,45315902,46460113,46460114,57816182,70517479,57964693,57964694,59148031,58533983,57964858,46588427,46588426,44416727,44416726,46460101,36593861,28120763,20943417,20943418,28120765,36593867,46460110,50553203,50553204,57964615,57964617,62045842,62045843,70517471,57816170,53717548,53717549,59951817,59478620,59478560,59478559,51783270,41508297,41508298,51783275,57964688,46588221,46588220,256289654,47755940,50553211,50553221,40516991,40516993,38644401,30069015,256428629,48559658,47145669,37240358,37240359,46616656,38644414,30069024,30069025,38644416,46460091,46460092,57816162,46588335,46588334,57964779,70683069,72215765,64577240,52677057,42290781,42290784,52677060,48088714,256394881,22259683,22259684,29610068,38176887,48088717,59478349,63742826,59799565,48414538,48414537,48089106,42066315,42066313,42066326,38334392,29763668,255459926,48244821,48089016,38177225,29610447,22260028,16120386,16120387,22260030,29610449,38177290,38177235,38177236,48089030,42865027,33823908,26006335,19332805,19332806,18502967,13145724,13145725,18502971,25036546,32723443,38176896,29610078,22259689,16120106,11197915,7430251,7430250,11197913,16120099,22259680,29610065,22260126,22260127,22259939,16120327,13557113,11198147,255083055,16120164,11197952,254527689,4695264,7430267,11197938,11198045,11198046,16120296,22259723,16120134,11197932,11197928,7430256,4695258,2828983,2828982,4695256,7430253,11197925,11197955,7430391,4695341,2829025,2829026,4695344,7430398,11198188,16120398,16120399,22260044,22259739,268402259,22259708,22259944,22260180,16120526,11198209,7430410,4695351,2829030,2829029,4695348,7430406,9283960,7430353,7430352,11198096,11198221,7430416,7430415,7430420,7430421,11198226,16120140,11197936,7430259,4695261,2828985,1641374,1641375,2828989,4695267,7430272,267974469,11198058,11198057,7430394,7430395,11198184,11197888,7430238,7430239,11197894,16120063,11198175,268084727,22260143,22259790,22259789,29610167,25614627,19000966,13560235,13560234,19000964,16120029,11197870,11197871,16120032,22259581,16120510,16120511,16120205,11197995,7430293,4695281,2828995,254166007,526031,294754,163001,163002,294756,526035,933341,1641397,2829043,4695376,7430444,11198252,16120492,22260147,22259589,22259590,22259932,22259933,22259649,22259651,22260251,22260250,255898419,16120434,16120435,16120551,22260214,29610617,38177485,38176839,38176838,29610528,29610529,38177194,29610395,22259999,22259997,22259980,16120354,16120353,16120599,11198259,11198004,11198003,16120221,22259827,29610221,38177031,38177030,48088860,48088866,38177036,32106642,24530325,18098115,16120210,16120211,22259802,29610186,38177008,29610376,29610377,38177029,38177109,29610288,22259884,22259881,29610285,38177106,48088921,59478509,72215704,72215671,59478450,59478449,59478748,48089211,47034953,37145971,37145972,29610491,29610490,35251320,35251319,44635792,38176990,38176989,48088819,59478431,72215658,72215921,72215833,59478713,48089167,38177379,38177378,48088766,48088762,48088763,59478370,48089185,48089186,52862464,42458627,33465624,33465625,42458632,52862479,64781860,71125258,58407421,58407420,59478743,257396466,48089206,48089205,58237884,46870186,36991461,36991460,46870184,58237879,70954943,84518491,85809639,72215807,72215808,72215837,258007334,59478483,59478482,59478692,59478693,72215817,72215834,59478716,59478717,59478709,48089163,48089165,48089183,59478727,57782775,57782776,64781859,52862475,52862474,58237863,70954930,84518485,85809642,72215928,64781852,52862467,52862466,58237869,46870173,36991456,28494093,28494092,36991454,46870170,258038821,48589822,48589821,59981645,72718914,258007336,72718926,59981662,48589833,38673497,38673496,48589828,59981599,48589772,48589771,57782649,46427600,257396479,48089308,257517117,72215926,85809730,91647116,77719846,64538195,269998391,91647128 Dl.O(d2) = 270405867,269777568,54653143,43910420,43910421,257886631,66910151,66910141,66910143,65919252,53852085,43327788,34637275,34637258,26645963,26645964,34637262,43910408,48933420,50530585,43910423,43910422,257604386,71030746,58314887,46948035,46948034,58314886,71030743,71030744,84595169,84595170,84595174,71030747,58314888,46948038,37068556,37068557,46948039,58310234,46943731,37064613,28563010,28563009,37064616,46943728,37064611,37064612,41444544,32577876,24920966,18412392,13078047,8911676,5815444,5815443,8911674,13078041,13351463,13351464,18752340,25331933,22691375,16490269,11489486,7641772,4834518,4834519,7641702,4834489,2913111,1689882,1689883,2913118,4834508,7641750,11489433,16490326,22691299,20784626,20784625,27938027,36382450,38646347,48561924,59954252,72692532,63856873,52037179,52037180,59954336,48562439,38646949,35051834,26970524,26970525,20084781,20084784,26970539,35051850,43834641,34561796,34561797,38646942,38646940,38647055,38646724,30070971,30070969,38646718,48562210,59333826,47942018,47942017,59333825,52405907,42062176,33113246,33113247,39964182,39964181,32825399,32825400,41746148,38958573,38958571,46212705,46212706,48483477,42062190,42062189,48678245,38756686,38756687,48678251,59875726,49980817,49980819,46212659,36382244,36382243,31289247,23802943,22295481,22295482,29647563,38214155,39964441,36382185,36382183,42767922,33738132,33738131,42767916,48483463,38570789,38570785,48484241,46809472,36931176,36931175,46809466,36931182,36931181,39964175,32825395,25121177,18569627,13195887,13195886,18569620,25121161,32825367,38958404,30372385,22970740,22970742,30372389,38958413,256214942,30372725,22971610,16735309,16735310,22971612,30371984,22971223,16735057,16735053,255125831,7798074,4945159,4945158,7798072,11692116,255509333,30372655,30372656,30373454,38959245,256453783,30372242,38958259,30373395,22971662,22971663,30373143,30373651,30373475,30373476,25121324,22971758,22971761,30372247,22971557,22971552,28762396,21502668,15495151,10715686,10715687,268209133,28762186,255408473,10715652,7079370,7079371,10715654,15495081,21502530,28762205,37295716,41745973,40224198,32825245,32825246,25121547,25121549,32825795,32825260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9384532, s2 = 11095628, dlinesl.size( ) = 14 s1 = 1266798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1266798, s2 = 3601356, int(edited[s2]) = 0 s1 = 1266798, s2 = 3601356, d1 = 0, d2 = 20 Dl.O(d1) = 31800922 Dl.O(d2) = 62023547,62023549,74820415,74820416,88453883,88453886,88453885,259544429,116557023,123028932,108759780,94466261,80406473,66976186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1266798, s2 = 3601356, dlinesl.size( ) = 20 s1 = 8195028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8195028, s2 = 14522310, int(edited[s2]) = 0 s1 = 8195028, s2 = 14522310, d1 = 21, d2 = 28 Dl.O(d1) = 100895282,271363806,258196742 Dl.O(d2) = 39133985,258196745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6494706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6494706, s2 = 11322986, int(edited[s2]) = 0 s1 = 6494706, s2 = 11322986, d1 = 112, d2 = 115 Dl.O(d1) = 255205168,31806240,31806239,31806241 Dl.O(d2) = 257542115,270072076,65961383,258480559,259741335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6494706, s2 = 11322986, dlinesl.size( ) = 12 s1 = 13765293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1608216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1355546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1355546, s2 = 14024937, int(edited[s2]) = 0 s1 = 1355546, s2 = 14024937, d1 = 11, d2 = 11 Dl.O(d1) = 34118773,26254064,19536153,19536155,26254068,24776231,24776232,32399737,40514489,255220444,31818069,38193828,38193829,36883539,36883538,35240391,27143878,20235279,20235278,27143874,257131883,32177383,32177384,40219107,40514533,31818066,31818067,37747681,37747187,29186137,28948338,28948339,29626868,22275231,16132716,11206864,7498990,7498986,11294821,254889918,29772859,38343870,257766552,13064187,8902144,8902145,13064188,18392847,24894446,24779097,18327069,13009497,8857089,5772793,3596134,3596133,254632537,5820953,3631326,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461016,9954062,6542021,6542020,4098626,2451857,1417500,806435,806434,254215375,994842,560070,313575,313574,313638,313637,560192,995043,1749891,3012657,4987789,7858661,11770779,16832099,20163658,20163659,20163660,268339229,35142519,39088523,256224177,27055568,20162345,16829831,11768962,9957280,6544353,4100068,2452640,1417917,1417916,2452636,4100054,6544333,9957253,14466092,11769321,11769320,10851533,10851534,10851477,10851478,15674827,21718380,15675019,15674239,11769781,11769782,11769866,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029 Dl.O(d2) = 34118773,26254064,19536153,19536155,26254068,24776231,24776232,32399737,40514489,255220444,31818069,38193828,38193829,36883539,36883538,35240391,27143878,20235279,20235278,27143874,257131883,32177383,32177384,40219107,40514533,31818066,31818067,37747681,37747187,29186137,28948338,28948339,29626868,22275231,16132716,11206864,7498990,7498986,11294821,254889918,29772859,38343870,257766552,13064187,8902144,8902145,13064188,18392847,24894446,24779097,18327069,13009497,8857089,5772793,3596134,3596133,254632537,5820953,3631326,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461016,9954062,6542021,6542020,4098626,2451857,1417500,806435,806434,254215375,994842,560070,313575,313574,313638,313637,560192,995043,1749891,3012657,4987789,7858661,11770779,16832099,20163658,20163659,20163660,268339229,35142519,39088523,256224177,27055568,20162345,16829831,11768962,9957280,6544353,4100068,2452640,1417917,1417916,2452636,4100054,6544333,9957253,14466092,11769321,11769320,10851533,10851534,10851477,10851478,15674827,21718380,15675019,15674239,11769781,11769782,11769866,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1355546, s2 = 14024937, dlinesl.size( ) = 2 s1 = 1355546, s2 = 14024937, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1355546, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7603523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7967560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13194313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028687, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1270243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8625033, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1611213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1611213, s2 = 7110015, int(edited[s2]) = 0 s1 = 1611213, s2 = 7110015, d1 = 21, d2 = 19 Dl.O(d1) = 40594356,31886437,24359221,20018752,14337770,9849851,9849852,10696098,7066307,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,13437428,9187055,254921849,18860041,255533512,15292918,21257346,27981099,20817075,20817035,14920267,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,23316308,17052567,11962631,8007765,5097742,5097743,8007770,11962637,17052582,23316343,25459587,18859791,18859790,268492771,39332316,30734374,30733039,27977712,20814190,20814189,23314285,17051158,11961749,8007308,5097521,3094097,3094098,5097527,8007321,11961780,17051204,23314359,30733358,23316040,17052398,11962535,11962537,17050991,11961669,8007257,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985,30026181,23314222,17051816,17051818,22142350,29479826,38043060,30732525,30732523,30734817,30734816,29769212,22405996,22405998,17051240,11961804,11961803 Dl.O(d2) = 262703667,262798632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1611213, s2 = 7110015, dlinesl.size( ) = 2 s1 = 1611213, s2 = 7110015, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1611213, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 10245174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10245174, s2 = 3770180, int(edited[s2]) = 0 s1 = 10245174, s2 = 3770180, d1 = 110, d2 = 94 Dl.O(d1) = 254850937,255455708,12355059,12355060,17520266,17520711,12355256,12355257,16242823,22405288,22405278,16242812,254777939,7497485,11292465,16242817,17520771,17520763,12355305,268112043,255565749,12354831,12354832,17520185,22405271,22405270,29768265,23863899,22405302,16242831,16242832,16242852,22405327,22405307,17520756,17520757,22405353,16242877,16242878,22405357,29768351,31358884,40038871,48250054,38339370,38339371,40037708,31358957,23864995,23864994,29891273,31359001,38448060,48250031,40037731,31357820,23863957,17519780,17519779,17519785,23863961,31357826,40037735,46826016,46826014,58191969,59230758,47833017,47833018,257860220,47536710,58384960,58384961,71101762,59230668,59230667,71968518,59230765,58871208,47490138,37585131,37585130,47490132,40037643,31357751,31357750,37911206,37911207,37631070,29080776,21782931,21782932,29080780,37631078,37631122,46825782,58191830,47536674,37631059,37631060,47536679,58917583,58917561,48250046,48250045,50926586,47832882,37911131,29342079,22010153,22010151,29342074,256917759,59230666,50058881,50058882,50058190,40038804,31358830,31358829,28448394,21221945,15252532,15252534,21221953,17495476,17495477,23834411,31325075,37650831,33702668,33702667,36948286,33702620,33702621,25896554,25896553,28448423,21221969,15252543,15252510,10522548,6939610,4361003,2613184,2613183,4360999,6939600,10522527,15252471,21221821,28448208,36948222,31325120,28448076,23864847,17520603,17520602,23864845,31325037,36947925,38919970,30333629,22932845,21221718,18148616,12869276,8751914,7772472,7772471,11661136,16700557,18792958,13552762,9278133,254494204,18992208,25604617,24707578,21222323,15252748,10522683,6939683,6939680,10522617,10522618,15252630,21222124,28448614,36948681 Dl.O(d2) = 259554468,260766036,144704408,131478743,260196744 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13171727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13233731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233731, s2 = 15590018, int(edited[s2]) = 0 s1 = 13233731, s2 = 15590018, d1 = 0, d2 = 0 Dl.O(d1) = 26240122,34103586,43189281,53701047,65758241,79114620,79114608,65758238,65758239,76604515,90462961,104626945,118807902,104627021,90463039,76604589,63525183,63525180,51747194,257747077,63525178,51747195,41478161,32600626,24938175,18425676,13087920,13087921,18425679,24938180,32600632,41478165,51747202,63525191,258987727,270272010,76604599,90463055,104627035,104627022,90463041,90463042,104627024,118808004,260983672,260400947,109434702,109434701,260983670,81120049,257910715,44468193,35091674,27005707,20114826,14425354,14425353,20114824,27005297,20114523,14425132,14425131,20114450,27005196,35091051,44467518,55313396,55313408,44467526,35091056,35091055,44467524,41038919,32246467,24648171,255222857,8776975,5716362,5637989,5637990,3539124,2106767,2082922,1197505,674267,375121,205676,205679,375139,674316,1197630,1197758,674388,375180,375179,674385,1197747,2083337,254621625,12752450,255210859,24391865,31924872,40640627,31924871,31924870,40640626,50699621,62219580,50699615,50699614,62219579,62219591,62219586,50699618,50699619,62219588,75042673,88693539,272346628,75042669,75042667,88693536,102702848,116795592,114132853,114132852,128022315,261636608,86131119,258149921,48411879,48411878,59796705,72531818,86131117,86748898,100098466,271344905,100724759,100724760,114773283,128022313,114132849,114132848,128022311,141390982,154065465,154065464,141564334,128207943,116715583,102619441,259413334,258927809,62159530,50650458,50650457,62159527,50650455,50650456,40600592,40600593,48605511,38690000,30114133,22733511,16527752,16527753,22733513,23673754,17354260,17354259,12733704,8652793,8652651,8652653,12733501,13172400,13172399,18538548,25082413,32779697,41695999,52007640,63823495,74971076,88613044,102619444,97735266,83876339,70351398,270271523,57661389,46317154,36464417,28005857,28005856,256807851,49867573,39844936,39844935,49867574,61349628,70351410,83876344,70351404,59971253,59971252,258786695,257554091,38663352,38663351,48579470,59971245,59971246,59971242,48579458,38663342,30086079,30086080,38663344,38663350,30086088,30086089,38663337,48579455,48588715,38672563,30095318,30095319,38672565,38672569,46273150,36420563,36420508,27962311,27962310,36420507,46273152,257993297,60362639,48967523,39046291,39046292,48967526,60362641,73100823,270274812,60362640,73100821,86704262,100677269,94416544,80362872,80362871,94416547,108703530,109604995,123792692,109604996,95352880,81296855,67831118,55489943,47252802,37342930,28804785,21538073,15522651,15522650,21538071,28804781,37342921,47252790,258067685,84956829,87758997,74154624,61374067,49893454,49893453,61374065,257576654,39871176,31188555,31188556,256941359,29665734,22313847,16168484,11236120,255086741,8270054,5336426,5336429,8270059,12244903,17376721,17784565,12597632,11236175,7457203,4712015,2838631,1646694,936329,936327,1646691,2838623,4711999,4713379,254529727,5555498,3439797,3439799,5555504,4474426,4474425,4710167,3404919,2008183,2008184,1155789,648461,648462,652230,652233,647351,359183,196696,196695,359180,647345,1153912,2017056,3416745,2840220,1647545,1647544,2840217,4714654,254774195,16173447,22318474,256399569,48145129,269810319,74684000,258909059,99811648,258754189,59532543,48145125,256399567,29669681,38235063,48145128,59532548,72266696,85823540,72230499,59494392,53732835,48105769,38194130,31386536,254720738,50090313,61570328,74347213,87949444,101921896,115965936,258652098 Dl.O(d2) = 26240122,34103586,43189281,53701047,65758241,79114620,79114608,65758238,65758239,76604515,90462961,104626945,118807902,104627021,90463039,76604589,63525183,63525180,51747194,257747077,63525178,51747195,41478161,32600626,24938175,18425676,13087920,13087921,18425679,24938180,32600632,41478165,51747202,63525191,258987727,270272010,76604599,90463055,104627035,104627022,90463041,90463042,104627024,118808004,260983672,260400947,109434702,109434701,260983670,81120049,257910715,44468193,35091674,27005707,20114826,14425354,14425353,20114824,27005297,20114523,14425132,14425131,20114450,27005196,35091051,44467518,55313396,55313408,44467526,35091056,35091055,44467524,41038919,32246467,24648171,255222857,8776975,5716362,5637989,5637990,3539124,2106767,2082922,1197505,674267,375121,205676,205679,375139,674316,1197630,1197758,674388,375180,375179,674385,1197747,2083337,254621625,12752450,255210859,24391865,31924872,40640627,31924871,31924870,40640626,50699621,62219580,50699615,50699614,62219579,62219591,62219586,50699618,50699619,62219588,75042673,88693539,272346628,75042669,75042667,88693536,102702848,116795592,114132853,114132852,128022315,261636608,86131119,258149921,48411879,48411878,59796705,72531818,86131117,86748898,100098466,271344905,100724759,100724760,114773283,128022313,114132849,114132848,128022311,141390982,154065465,154065464,141564334,128207943,116715583,102619441,259413334,258927809,62159530,50650458,50650457,62159527,50650455,50650456,40600592,40600593,48605511,38690000,30114133,22733511,16527752,16527753,22733513,23673754,17354260,17354259,12733704,8652793,8652651,8652653,12733501,13172400,13172399,18538548,25082413,32779697,41695999,52007640,63823495,74971076,88613044,102619444,97735266,83876339,70351398,270271523,57661389,46317154,36464417,28005857,28005856,256807851,49867573,39844936,39844935,49867574,61349628,70351410,83876344,70351404,59971253,59971252,258786695,257554091,38663352,38663351,48579470,59971245,59971246,59971242,48579458,38663342,30086079,30086080,38663344,38663350,30086088,30086089,38663337,48579455,48588715,38672563,30095318,30095319,38672565,38672569,46273150,36420563,36420508,27962311,27962310,36420507,46273152,257993297,60362639,48967523,39046291,39046292,48967526,60362641,73100823,270274812,60362640,73100821,86704262,100677269,94416544,80362872,80362871,94416547,108703530,109604995,123792692,109604996,95352880,81296855,67831118,55489943,47252802,37342930,28804785,21538073,15522651,15522650,21538071,28804781,37342921,47252790,258067685,84956829,87758997,74154624,61374067,49893454,49893453,61374065,257576654,39871176,31188555,31188556,256941359,29665734,22313847,16168484,11236120,255086741,8270054,5336426,5336429,8270059,12244903,17376721,17784565,12597632,11236175,7457203,4712015,2838631,1646694,936329,936327,1646691,2838623,4711999,4713379,254529727,5555498,3439797,3439799,5555504,4474426,4474425,4710167,3404919,2008183,2008184,1155789,648461,648462,652230,652233,647351,359183,196696,196695,359180,647345,1153912,2017056,3416745,2840220,1647545,1647544,2840217,4714654,254774195,16173447,22318474,256399569,48145129,269810319,74684000,258909059,99811648,258754189,59532543,48145125,256399567,29669681,38235063,48145128,59532548,72266696,85823540,72230499,59494392,53732835,48105769,38194130,31386536,254720738,50090313,61570328,74347213,87949444,101921896,115965936,258652098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233731, s2 = 15590018, dlinesl.size( ) = 2 s1 = 13233731, s2 = 15590018, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13233731, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6838868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6838868, s2 = 8021181, int(edited[s2]) = 0 s1 = 6838868, s2 = 8021181, d1 = 32, d2 = 29 Dl.O(d1) = 259066685,257116195,40720511,40720510,256057627,24420346,31973671,31973673,24420349,256057629,40720512 Dl.O(d2) = 1479528,836285,836284,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931970,3709243,2221264,1288533,735632,418238,418237,735624,1288518,2221230,3709170,5932070,5931903,5931902,6773438,9100854,5954670,3723883,3723885,5481342,3372985,3372986,5481347,8479852,8536982,5534948,3420460,2019992,1155778,1155779,2019998,3420476,5534978,5209043,5209044,8130516,12090256,17194003,23476315,30912882,39523218,42280033,52667406,60859331,49456629,48117186,38206349,29639780,22288254,22288256,29639784,38206352,31536306,31536307,40222553,40222565,50242702,61721535,63747307,257230670,32726654,32726653,38009677,30452704,30452705,39042059,39042647,39042646,47975538,38063397,38045971,38045964,38045963,39042463,30453080,23044748,23044747,30453078,39042460,47255127,46652117,36767485,28272510,21069593,21069591,28272502,28381774,21164298,15207691,15207689,21164293,28381767,36878051,46756755,58125118,46756774,46756773,46891375,46891376,58258372,60562225,269174338,39803603,39803602,49162289,39235586,39235587,49162291,60562099,60562084,49162279,39235579,35214024,35214025,44594735,39235544,30637587,30637586,39235541,49162215,48963678,39042436,30453048,30453046,268964767,60358770,60562203,49162405,39235676,257015455,60562032,60562033,49162600,39235836,30637789,30637788,39235833,49162540,53376233,53676589,47380084,47380085,269789361,60562326,61484558,50006275,39988464,39988463,49194271,49194272,256905360,39268072,49194261,60594928,71382821,58647290,58647291,71382824,60562107,60562108,53115471,53115470,49161829,49161831,43881803,34610652,34610651,43881800,54624242,58655443,47263639,37354046,37354047,47263641,255169360,47263729,37354112,37354113,47263733,47847256,37927416,29361003,22030371,22030370,29361001,256918989,38180146,38180145,47847174,49280263,59243799,47847162,47847163,58822288,58822289,71550318,60329223,48931047,39007391,39007390,48931046,47263638,37354045,28815084,21546607,15529124,15529129,21546614,23792400,23013157,16773424,11727037,7828977,4969451,4969450,7828974,11727030,16773412,23013133,255854558,22030322,22030321,29360920,37927309,29360970,22030346,17460725,12309468,8314316,8314317,12309472,17460733,23792425,31278191,36852569,36852568,39953046,39953047,31424600,31424601,40104404,31424547,25927659,19265671,13770193,9439872,6187968,6187967,9439869,13770187,19265665,25927650,33734694,40222550,50242692,42060391,39818796,36884822,36884823,42763541,42763540,41037835,32245453,32245454,32245430,24647259,24647257,32245428,255173500,59914628,58682146,58682147,47504135,38842097,38842096,48761408,59518041,48130786,255562666,39981597,31306248,31306249,39981598,47685010,47685011,256884994,37995349,37995350,39749193,39749203,39749147,31071388,31071387,39749145,47911409,49767736,39749175,31071408,29776508,29776509,38348366,48259105,59646190,49767759,49767758,48259042,38348301,29776441,29776443,38348305,255700978,39749253,31071461,23587893,17276056,12155587,8185917,5255261,3211551,3211552,5255263,8185919,12155590,13387513,9151709,9151708,255257991,25378931,28991932,23587895,17276057,17276058,23587896,24726885,255226709,12950872,18254053,21707702,21707701,28991940,37537028,38348367,38348368,33114135,33114134,32342767,24726883,24726884,22412224,16248163,16248164,16248168,254918964,26139518,19443120,13913167,9548916,6265196,6265197,8805705,8805706,12943033,18245703,24718806,32334952,27231783,27231782,33978666,26139523,19443124,19443123,26139509,29868392,29868393,32344270,41158967,38429630,38429631,32342920,24727085,18254270,18254271,21681709,21681710,28963843,24720146,24720147,25512417,18902232,18260494,18260492,20846100,28011832,30257469,28011822,28011823,26913966,26913964,34995368,41533113,37762896,37762895,47685095,55740574,44832687,35407267,35407268,29471899,268631869,29654757,29654756,38220763,38220741,38220742,48130765,59518023,72251967,78333204,65054180,65054179,78333202,65054139,53071541,42623900,42623901,53071543,58948568,47565831,37659727,29109843,21810793,21810791,29109839,268930657,37762991,256905339,37762990,29201666,29201665,37763071,47685182,47685181,42014652,33070620,25340888,18760841,13359215,13359218,15959166,11076156,7344448,7344449,11076164,11079465,15941803,11062331,7334944,4633374,4633373,7334883,7334880,11062257,11057304,7331937,7331938,5854264,5854263,4631666,2790246,2790247,4631669,7331802,11057083,15934412,22036158,26663399,22039885,15937424,15937426,15946058,11069967,7340201,7340202,11069969,15941872,15944242,255445787,15160879,10455457,6891898,6891899,10455459,15160880,15957177,15944191,11064144,7336092,4634037,4634035,3769511,3769510,4634621,7337100,4640118,4640116,7339869,4636217,4636214,2792719,1619977,1619978,1619986,1619989,2791920,2791919,2794827,2794829,4640173,7337064,7335305,4633573,2791249,2791248,4633570,4637820,4637821,254763273,10455539,15160976,11068302,11068303,11061462,11061461,11065046,15945301,22048402,22062157,15962597,11078839,7346217,7346216,11073146,15955568,22059875,22027901,15942091,11062602,11062601,11063101,15942198,15942196,15957733,11074945,11072426,11072425,7347394,4640610,4640611,4640521,4640524,4640581,2795057,2795054,254522663,11080406,15964509,22041723,22067406,22067405,29397836,33304279,25542511,18929836,18929837,22038159,22038160,21999219,15899783,15899782,15610295,15610294,21642195,21975426,15881006,15881007,21975428,25536139,18924562,18924563,25536141,19852447,19852446,26668549,21977143,15882248,11009477,7288101,7288102,11009485,7574554,7574555,11399541,16379484,18922281,22043184,22037416,15935450,11057832,11057833,15935452,267943694,8471151,9778445,9615865,6316091,6316093,7883830,7435213,4698284,2830682,2830681,4698279,7435198,6045505,3782624,2265911,1314444,1314440,2265888,3782180,3782176,6044726,9229454,13489984,11819201,7897459,7897458,11819199,254720357,4330342,4330340,6898346,10465353,15174309,21122238,28334006,36830397,46712955,256678946,42262190,256161530,33282368,33282367,42262186,47685224,38427036,29863771,22501534,16327274,11359092,11359093,16327276,22501537,29863773,256955403,48332665,257535697,53777962,43262202,34172245,26304355,19581311,19581310,26304353,26304335,19581298,14028731,14028730,19581297,15812517,15812518,21889289,29201957,256378586,29109770,21889208,15812451,10957971,10957972,15812452,256363555,47685602,47685601,47685602,258112162,14551834,12281729,8294467,8294466,12281723,12281760,17425106,12281739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6838868, s2 = 8021181, dlinesl.size( ) = 32 s1 = 8554048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1613880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9358203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1480695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13199673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9173292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9340140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9340140, s2 = 14322550, int(edited[s2]) = 0 s1 = 9340140, s2 = 14322550, d1 = 10, d2 = 8 Dl.O(d1) = 13883964,18262872,18262871,24736027,32351985,32024698,24462989,24462988,32024695,24462987,18043843,18043842,24462985,32024689,32024690,269023523 Dl.O(d2) = 262827102,186297545,263253238,201471562,206206048,261078576,174923478,174923476,176922505,272173552,194470534,194470513,186297527,186297528,186297547,176922387,166324277,154604626,154604625,166324272,176922380,186297542,194470530,201471547,207364638,201471558,201471559,195323039,187276395,187276394,192927781,192927780,186297595,186297592,186297593,262150804,174923186,164098283,152210172,152210171,164098281,273324987,200126973,192927802,263079319,174923206,263841199,206205950,207364655,201471569,194470558,186297582,184534573,174923317,164098421,164098419,154604686,141960820,141960819,152210188,139480681,126109018,126109019,139480687,152210191,164098287,174923193,167566320,167566319,178033325,176922407,166324287,154604636,141960787,128599559,128599561,141960795,154604641,166324296,174923271,262827104,262150796,176922375,176922374,184534669,174923431,174923214,167566362,155955419,143417212,143417213,155955423,167566368,164098568,152210421,139480892,126109179,126109178,139480887,152210411,164098554,174923476,260499598,187276396,195323040,202204225,207989605,207364644,201471561,194470542,261078566,176922399,184534568,184534567,187276391,178033423,167566414,155955476,143417259,130089348,130089349,143417265,155955485,167566430,178033439,187276413,192927787,184534472,184534470,192927783,192927794,186297595,186297592,186297593,262150804,184534459,192927778,200126954,200126937,263637336,174923155,164098261,152210164,139480665,126109007,126109008,128599594,128599593,141960835,154604708,166324376,176922513,184534446,192927766,194470572,192927769,192927770,200126946,201471575,194470564,186297589,176922445,166324324,154604667,141960808,141960810,154604669,152210155,139480660,271763171,112253112,261078563,152210161,164098260,166324289,166324290,263585159,201471564,194470576,194470577,192927753,263253248,262635367,184534425,192927755,200126936,206205945,201471583,194470583,194470581,201471581,262635390,262150792,206206045,211232328,215339018,218732247,216195154,212224353,207364657,206205943,200126934,200126933,206205941,206206062,211232339,211232338,215339021,211232331,206206053,262150822,215339023,215339032,218732251,218732252,218732256,215339024,215339025,218732258,221596448,264165252,264165248,218732254,218732255,273697456,221596371,264715594,228047727,226189831,226189773,226189774,228047730,228047760,226189826,224056259,221596445,221596446,264165246,226189771,226189830,264715598,228047728,226189828,224056261,264165250,224965009,224056250,274085104,226189816,226189815,226189817,265356428,221596376,218732157,215338927,264950721,221596377,221596373,221596374,222622435,264165254,212759836,263841214,200126903,200126902,264455083,264715600,211232223,264715606,218732159,216660399,212759838,263079334,195323045,195323044,202204238,263480400,263841194,184534407,192927725,200126907,192927739,192927738,200126922,192927737,184534414,184534413,192927735,200126919,200126890,200126889,200126926,192927740,192927706,184534387,184534386,192927703,184534385,174923123,164098237,164098236,174923125,184534388,192927707,192948417,192948416,272826818,200127036,206205939,261078560,174953220,164131905,164131904,174953218,174923137,174923135,184534399,192927720,192948412,260499576,258651534,152245097,164131907,174953226,184559738,174953222,271295752,192948413,200144141,206220231,211244190,206220227,272523360,184534718,174923500,174923499,164098573,152210423,139480898,126109189,112253246,98273548,84364940,84364941,84364928,70806237,70806238,84364929,84364938,98273546,84389409,70832384,58117793,58117794,70832386,70806254,58089387,46717633,256298798,21125963,15177273,15177272,21125961,28338217,36834976,46717626,46717617,46717615,46717627,58089379,58089378,70806240,268606780,70806265,58089399,46717655,46717654,36869827,28372949,28372948,267880512,28372960,21155693,15200082,10483887,10483886,15200079,21155688,254720494,70832389,255381388,58117799,51501636,41286887,32447186,32447185,41286886,47061272,47061271,47061381,51501638,58117806,46749198,46749199,58117807,70832393,62156564,50897114,256837534,33697215,33697214,42727034,43047319,42727018,42727017,33697218,25891252,25891251,32201591,256582861,51123712,268701924,42727024,53176536,257883705,43867359,34597001,34597002,43867362,54610146,65161305,53176524,42727014,42727015,42727037,53176550,256977426,28602431,268612303,46996958,58367165,58401815,47029850,47029851,58401817,59381821,62156569,50647508,50647507,62156571,74968153,71928001,71928002,71928004,65941174,65941173,58401803,58401802,71119480,71117110,58399461,47027714,47027715,52545513,44814769,35390002,27264403,27264404,35390004,43291963,34194322,26321753,268162845,6347833,3982823,2387028,254310745,6347830,9653745,14040319,255714305,27264452,27264394,20329791,255762409,14590088,10039393,6597680,4133390,4133391,6597664,6597665,10039369,14590040,20329778,27264375,27264415,20329805,20329806,256240093,44814799,42582452,42582453,35390031,35390030,268837439,20329874,14590094,14590093,13663468,13663467,19135313,25775793,33565310,257226019,59030203,59030202,71772749,71772751,61337324,61337325,68117571,68117572,81606162,95638857,256935924,64998071,64998072,55721260,44814806,35390029,256766807,35390027,35390097,27264498,20329864,20329863,27264494,35390090,44814862,55721372,68117639,71772710,255897380,55721365,68117636,68117581,55721299,44814792,35390019,27264414,20329804,20329803,27264410,35390012,35390028,44814804,55721278,55721287,44814869,269205309,68117645,77978922,64784805,257674614,33468421,33468422,269090523,258426485,64784796,77978911,77978924,91903352,106098406,106098407,106098419,91903345,91903346,106098421,106098414,91903338,77978904,64784790,52865651,52865652,258426483,77978897,64784782,61238599,257416338,85362463,87623254,87623255,74019203,64784759,64784758,77978870,85362471,91903326,77978888,77978889,85362480,258650976,81606145,71772840,71772839,85362468,87623253,74019206,74019205,85362503,71772889,59030402,47628215,47628216,49759542,39740905,39740904,49759540,255809374,37705897,37705856,29145690,21837893,21837892,29145687,37705851,47628122,37705887,29145715,29145714,37705860,37705861,256358685,21837906,15768292,255429745,29145703,256900459,47628144,59030343,256900457,37705854,37705877,37705878,47628147,37705911,29145734,21837925,21837924,29145733,37705907,47628178,257480382,47628233,47628150,37705974,29145781,29145771,21837949,21837951,29145775,37705966,256900445,29145664,37705813,47628018,37705767,29145635,21837856,15768262,255429741,29145633,37705764,46703658,36821100,36821098,46703657,258025891,71772901,59030423,59030422,59030266,47628195,47628007,37705759,29145628,29145629,29145626,256358673,47628002,37705784,37705785,47628043,59030258,258090533,59030188,47627965,47627967,58075750,47628010,37705761,37705762,47628012,269798185,85362373,71772675,59030088,47627830,47627831,59030093,59030096,59030095,71772680,71772781,71772777,59030244,47628028,47628029,59030109,47627880,47627881,59030137,59030281,71772794,71772778,59030251,47628033,37705779,37705780,47628035,59030112,59030113,71772677,71772676,71772791,71772790,71772331,59030182,47627956,47627957,59030103,269798175,47627449,47627450,258090493,37705648,37705649,47627885,47627884,47627875,47627876,37705688,268932429,256900373,29145074,29145073,37705170,47627453,37705717,37705172,37705173,47627454,47627857,256358649,15768215,15768216,21837783,21837830,21837831,29145547,255429725,15768227,21837800,29145550,37705669,47627903,257463479,47360942,47627913,59029926,59029925,47627906,47627905,47627601,37705295,29145186,21837493,15767941,268215909,29145189,256900383,47627738,47627739,59029933,59029697,47627401,37705102,29144996,21837332,21837331,29144994,37705100,37705124,37705106,37705107,256900395,29145325,21837591,15768024,255429705,29145024,255429691,267968959,4550473,4550474,7222237,10920262,15767849,15767852,21837310,15767954,15767953,21837505,21837531,21837532,29145044,29145018,21837346,15767842,15767841,21837353,29145029,21837427,15767895,15767894,21837424,268625065,29145008,21837338,21837337,29145005,37705113,47627409,37705278,37705279,37705287,29145172,21837478,15767929,10920312,10920311,15767926,21837474,29145066,21837377,21837376,21837412,15767883,15767882,21837408,256358601,37705593,37705155,29145062,21837686,15768098,10920433,7222344,4550543,2735374,1584959,901045,508252,508253,901047,1584961,2735375,4550546,7222349,4550562,2735385,1584968,254230301,254512571,4550564,7222380,4550605,2735407,1584980,901056,901057,1584956,901044,901043,1584954,2735366,4550534,7222223,7222216,4550458,4550459,254230297,267751815,508243,901035,1584936,2735336,4550494,4550584,2735394,1584974,901053,508257,284996,284995,508255,901051,1584970,2735387,4550565,4550550,2735378,254342219,7222354,10920440,15767961,15767960,15768130,15768112,10920446,7222415,7222416,10920442,10920443,15768100,10920435,7222352,7222351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9340140, s2 = 14322550, dlinesl.size( ) = 5 s1 = 13213933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13213933, s2 = 1653595, int(edited[s2]) = 0 s1 = 13213933, s2 = 1653595, d1 = 15, d2 = 7 Dl.O(d1) = 21858856,19876087,19876090,19055846,19055843,19778081,14166519,14166521,12511297,8475867,5478814,5478813,8275854,12253971,17389220,23712866,31200648,30776155,268663135 Dl.O(d2) = 41972036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13213933, s2 = 1653595, dlinesl.size( ) = 2 s1 = 13213933, s2 = 1653595, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13213933, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 1274506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8423572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 503455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13492317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1275451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 969373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346139, s2 = 6435743, int(edited[s2]) = 0 s1 = 10346139, s2 = 6435743, d1 = 16, d2 = 10 Dl.O(d1) = 28550365,35320549,258127491,38191879,29625222,29625223,258750841,255933184,255109928 Dl.O(d2) = 254362698,270448809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346139, s2 = 6435743, dlinesl.size( ) = 2 s1 = 10346139, s2 = 6435743, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10346139, Dl.E( ) = 18, 2.41e-05 seconds used appending s1 = 7008866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7008866, s2 = 7251747, int(edited[s2]) = 0 s1 = 7008866, s2 = 7251747, d1 = 17, d2 = 57 Dl.O(d1) = 261280518,258312192 Dl.O(d2) = 187163584,195233668,264567463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7008866, s2 = 7251747, dlinesl.size( ) = 38 s1 = 13337497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8343457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6494817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6494817, s2 = 14328266, int(edited[s2]) = 0 s1 = 6494817, s2 = 14328266, d1 = 118, d2 = 160 Dl.O(d1) = 255206544,7451373,11229530,15342641,15342642,254423240,17805354,16161678,16161677,254423238,8739025,5689267,5689268,8739027,12851085,18123548,24562886,24562880,18123537,12851072,12851071,18123535,24562879,24562881,31835192,24316415,17930247,254619032,22308390,22308374,16161659,16161651,254284922,8631417,5612771,5612772,8631419,12704431,16161672,11228826,11228825,16161657,267774554,4707595,4707594,7450757,11228817,12704428,12704429,17930246,21334324,21334323,28560608,37061679,46940446,256051198,51063883,40923190,32145696,255598064,18123541,23397149,23397148,30824915,39429096,49358761,58306646,256051200,58306645,58306644,51063882,40923189 Dl.O(d2) = 154620263,166337994,154620258,154620259,154620262,154620264,154620263,166337994,263195633,176934325,166337995,166337996,166338000,166337998,271995670,114722384,100676215,258414238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6494817, s2 = 14328266, dlinesl.size( ) = 12 s1 = 6749756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1151977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1151977, s2 = 15526150, int(edited[s2]) = 0 s1 = 1151977, s2 = 15526150, d1 = 1, d2 = 84 Dl.O(d1) = 29431695,22099855,15990396,15990395,22099853,27048861,32157575 Dl.O(d2) = 257639945,74168738,81220550,95278081,89925291,76119064,63113423,51416567,41219820,254673322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1151977, s2 = 15526150, dlinesl.size( ) = 38 s1 = 10185031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10185031, s2 = 10347802, int(edited[s2]) = 0 s1 = 10185031, s2 = 10347802, d1 = 23, d2 = 25 Dl.O(d1) = 62723212,269924287,258328380,256580270 Dl.O(d2) = 32168095,40947798,51091211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6598208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6598208, s2 = 563687, int(edited[s2]) = 0 s1 = 6598208, s2 = 563687, d1 = 34, d2 = 7 Dl.O(d1) = 256392883,22240371,16104499,16104497,22240367,29588559,29588568,38154946,48067734,59458677,59458676,52879324,52879325,50134600,42475609,33482246,25708787,25708786,268466066,29588575,26611937,26611938,34598978,43869240,46791154,48692556,41898192,32960099,25238916,25238914,255417350,29588623,22240409,22240411,22240215,22240216,22240364,22240363,29588555,38154928,38154943,38154944,48067435,38154649,29588312,22240210,22240209,29588318,38154655,40961109,51103087,62733981,257574926,32182038,32182037,40961111,256581600,30326373,22925262,22925264,24776802,18296837,18296836,24776800,32400296 Dl.O(d2) = 8718442,6537491,6537493,9946366,9947005,14458188,256223507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6598208, s2 = 563687, dlinesl.size( ) = 18 s1 = 13332483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13332483, s2 = 6735718, int(edited[s2]) = 0 s1 = 13332483, s2 = 6735718, d1 = 22, d2 = 34 Dl.O(d1) = 42187119,43047196,268517311,13918286 Dl.O(d2) = 9382724,6146812,6146811,9382721,6199339,5971427,5971428,9125443,10685629,9382741,9382738,13699909,19183730,18876877,13452040,9199425,6023041,3768067,3768066,2257685,2257684,3768078,6023057,9199446,6224778,6224781,9491588,12815538,9134252,9134250,12815898,254619360,5672139,8713387,8713388,8752762,8752761,12870668,255615171,32184847,40964182,51106102,257860088,15776582,15775058,10927133,10927132,15775056,256358865,21839635,15769915,15769916,254750891,2736886,4552763,7222910,4550982,4550983,7222912,4553586,4553587,7226035,4556315,4556314,7229421,4558630,4558631,4552422,2736661,2736662,1586816,902042,508769,508768,902039,1586810,2738545,4555102,2738865,2738866,4237145,4237148,6761300,8009575,254750807,4552754,254230391,901502,508495,285132,157581,86598,47583,47582,86595,157575,285125,508483,901482,1585758,2736815,4552642,4556017,4559187,254230753,903122,903123,1588727,2738348,254162481,508731,901961,1586669,2738326,2738824,1587001,1587000,2738841,4555521,7228498,7229121,7229120,10927896,254513667,2741374,1588636,1588637,2741375,4559003,4556636,2739679,254342847,4557941,7231442,10928436,10931994,7232904,7232905,7231752,7225893,4553471,4553470,267886769,4556516,7229626,7222946,7222947,254751391,902219,902218,268078273 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9453518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9453518, s2 = 6668426, int(edited[s2]) = 0 s1 = 9453518, s2 = 6668426, d1 = 0, d2 = 0 Dl.O(d1) = 165885708,154119432,141448744,128083617,114197219,100167043,86204824,72607277,59869339,48477617,38564258,255935322,53543500,59431226,48744017,256442651,256442653,46739068,46739067,37132400,37132401,47020001,256442654,84671398,258176218,120083734,120083735,130289823,116452605,102359477,88362773,74733998,61939597,50448267,40413937,31722108,24214909,17844453,12636467,12636468,10970368,7261398,4579497,2755212,2755211,4579496,7261396,10970364,15830425,21912886,22363643,22363644,254170672,19839335,19839334,17122678,12032930,8089412,8089410,12032927,12636544,12147151,8176882,8176883,12147155,17267805,23579583,26630466,19819199,14196762,9759275,9759273,14196760,19346877,14197319,12334202,9490831,6224218,4326223,4326224,6891542,10454792,10774813,9758967,9758966,14196288,14196336,9758988,9758990,9759016,6416649,6416646,9759009,11102303,11626933,11626931,14087711,16565481,11547288,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1850822,3161551,5181704,8087509,12029902,17118716,23390610,255100966,23181074,30173462,38756155,48677656,60073745,72811056,86406215,100362591,259534868,87165638,87165639,257491188,122384584,122384583,132037273,118216762,104057022,89927349,76121407,76121406,72478765,60800014,60800013,67646214,55307280,44462205,41222296,269044351,35086841,27001989,27001988,35086839,44462207,55307282,67646215,76085138,63085153,51393700,41201255,32381193,24761238,24761239,32381195,41201260,41200983,41200984,41201254,41201253,41918434,41918435,41963585,52304056,58001969,46626212,36738294,28243199,21044109,15115821,10426387,10426386,15115818,21044104,28243189,36738268,46626146,58001884,70717835,84268665,70717800,63115422,63115424,76120883,63115411,51418613,51418612,63115406,76120877,85769632,86701836,73098421,73098420,86701893,99723440,85769610,72175430,59436945,48045048,38131693,29565877,29565878,38131694,48045050,59436949,72175432,72175418,59436929,48045036,38131686,38131687,37105417,28597394,28597392,37105413,41657135,41657137,38131691,29565876,22220027,16088048,16088046,22220022,29565869,30642652,23219626,255138365,254561557,5039151,7926863,11860737,16946851,23219619,30642642,24600463,24600464,32187972,39240050,33177784,25434231,24600436,18152958,18152959,24600439,32187930,40967575,51109938,62741183,268745542,49166335,49166334,60565728,50120265,40099820,40099822,38131682,38131681,48045025,257169522,257132647,62741245,75688147,70675925,255800384,46580744,57957166,52492350,52492351,64365261,57957098,255662838,36694391,28204138,28204137,36694390,46580686,42135456,42135455,52492371,57957186,57957121,46580706,36694403,36694404,36694437,267959016,15091292,15091293,21012117,20995701,20995702,28177230,36652953,46519928,57875417,46580750,46580751,46519943,36652965,36652966,40638876,50698003,62218141,70576226,57875460,46519966,36652988,36652986,46519960,46520035,46520036,46580646,57957059,57957143,256288244,57957144,70675907,57957241,46580815,46580814,46580813,36694501,36694500,36694366,36694365,46580640,57957049,70675802,57957208,46580782,36694472,36694471,46580778,46580756,46580755,46580790,36694480,28204192,28204194,255373936,46580788,57957212,70675949,74969988,74969989,88611979,270277864,77571839,91502937,102618365,102618366,105727468,91502906,91502905,97986949,111926079,116714380,105710078,91486232,77555393,77555394,64387205,52513556,52513555,64387203,77555402,91486240,103549503,89452276,89452275,77571840,70675946,62158487,50649370,50649369,62158485,74970000,77571843,77571798,77571797,87853065,87853066,91486245,77555405,64387206,64387207,52530336,52530335,64403712,77571796,269530360,77571838,77571844,79082802,65727344,53670954,53670955,53898402,43374608,43374607,53898400,65964684,79328002,79327982,257236758,93473627,79341251,65976871,53910022,53910021,65976870,65976860,53910012,53910010,65976857,79341271,81111931,67645655,55306725,44461688,35086378,35086377,256955268,51038965,62667481,52382844,50639434,50639433,51038964,52382846,42038872,33090855,25357803,18775406,13371063,13371064,254357758,33090858,42038877,52382851,64238951,72532230,85790714,84404843,256935166,58133092,58133091,258171408,64799182,52879926,52879927,64799184,77993367,91917705,88074820,74462590,74462589 Dl.O(d2) = 165885708,154119432,141448744,128083617,114197219,100167043,86204824,72607277,59869339,48477617,38564258,255935322,53543500,59431226,48744017,256442651,256442653,46739068,46739067,37132400,37132401,47020001,256442654,84671398,258176218,120083734,120083735,130289823,116452605,102359477,88362773,74733998,61939597,50448267,40413937,31722108,24214909,17844453,12636467,12636468,10970368,7261398,4579497,2755212,2755211,4579496,7261396,10970364,15830425,21912886,22363643,22363644,254170672,19839335,19839334,17122678,12032930,8089412,8089410,12032927,12636544,12147151,8176882,8176883,12147155,17267805,23579583,26630466,19819199,14196762,9759275,9759273,14196760,19346877,14197319,12334202,9490831,6224218,4326223,4326224,6891542,10454792,10774813,9758967,9758966,14196288,14196336,9758988,9758990,9759016,6416649,6416646,9759009,11102303,11626933,11626931,14087711,16565481,11547288,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1850822,3161551,5181704,8087509,12029902,17118716,23390610,255100966,23181074,30173462,38756155,48677656,60073745,72811056,86406215,100362591,259534868,87165638,87165639,257491188,122384584,122384583,132037273,118216762,104057022,89927349,76121407,76121406,72478765,60800014,60800013,67646214,55307280,44462205,41222296,269044351,35086841,27001989,27001988,35086839,44462207,55307282,67646215,76085138,63085153,51393700,41201255,32381193,24761238,24761239,32381195,41201260,41200983,41200984,41201254,41201253,41918434,41918435,41963585,52304056,58001969,46626212,36738294,28243199,21044109,15115821,10426387,10426386,15115818,21044104,28243189,36738268,46626146,58001884,70717835,84268665,70717800,63115422,63115424,76120883,63115411,51418613,51418612,63115406,76120877,85769632,86701836,73098421,73098420,86701893,99723440,85769610,72175430,59436945,48045048,38131693,29565877,29565878,38131694,48045050,59436949,72175432,72175418,59436929,48045036,38131686,38131687,37105417,28597394,28597392,37105413,41657135,41657137,38131691,29565876,22220027,16088048,16088046,22220022,29565869,30642652,23219626,255138365,254561557,5039151,7926863,11860737,16946851,23219619,30642642,24600463,24600464,32187972,39240050,33177784,25434231,24600436,18152958,18152959,24600439,32187930,40967575,51109938,62741183,268745542,49166335,49166334,60565728,50120265,40099820,40099822,38131682,38131681,48045025,257169522,257132647,62741245,75688147,70675925,255800384,46580744,57957166,52492350,52492351,64365261,57957098,255662838,36694391,28204138,28204137,36694390,46580686,42135456,42135455,52492371,57957186,57957121,46580706,36694403,36694404,36694437,267959016,15091292,15091293,21012117,20995701,20995702,28177230,36652953,46519928,57875417,46580750,46580751,46519943,36652965,36652966,40638876,50698003,62218141,70576226,57875460,46519966,36652988,36652986,46519960,46520035,46520036,46580646,57957059,57957143,256288244,57957144,70675907,57957241,46580815,46580814,46580813,36694501,36694500,36694366,36694365,46580640,57957049,70675802,57957208,46580782,36694472,36694471,46580778,46580756,46580755,46580790,36694480,28204192,28204194,255373936,46580788,57957212,70675949,74969988,74969989,88611979,270277864,77571839,91502937,102618365,102618366,105727468,91502906,91502905,97986949,111926079,116714380,105710078,91486232,77555393,77555394,64387205,52513556,52513555,64387203,77555402,91486240,103549503,89452276,89452275,77571840,70675946,62158487,50649370,50649369,62158485,74970000,77571843,77571798,77571797,87853065,87853066,91486245,77555405,64387206,64387207,52530336,52530335,64403712,77571796,269530360,77571838,77571844,79082802,65727344,53670954,53670955,53898402,43374608,43374607,53898400,65964684,79328002,79327982,257236758,93473627,79341251,65976871,53910022,53910021,65976870,65976860,53910012,53910010,65976857,79341271,81111931,67645655,55306725,44461688,35086378,35086377,256955268,51038965,62667481,52382844,50639434,50639433,51038964,52382846,42038872,33090855,25357803,18775406,13371063,13371064,254357758,33090858,42038877,52382851,64238951,72532230,85790714,84404843,256935166,58133092,58133091,258171408,64799182,52879926,52879927,64799184,77993367,91917705,88074820,74462590,74462589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9453518, s2 = 6668426, dlinesl.size( ) = 2 s1 = 9453518, s2 = 6668426, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9453518, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 8334705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1280120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1280120, s2 = 10574845, int(edited[s2]) = 0 s1 = 1280120, s2 = 10574845, d1 = 6, d2 = 83 Dl.O(d1) = 32192957 Dl.O(d2) = 58700682,47310666,37401252,37401251,29853335,29853334,23013863,23013864,21586888,21586887,28860683,37402138,47311579,38765740,30182254,22792864,16576585,16576584,22792859,22792725,16576509,11557442,11557441,16576507,22792712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1280120, s2 = 10574845, dlinesl.size( ) = 12 s1 = 15054722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162864, s2 = 14303651, int(edited[s2]) = 0 s1 = 14162864, s2 = 14303651, d1 = 0, d2 = 18 Dl.O(d1) = 12015505 Dl.O(d2) = 11876122,254254500,11989501,8041239,8041238,8076600,8076599,8058407,8058406,12003774,17007824,23270667,23252000,23252001,30667506,29959973,29959972,38525345,254376840,30785004,39387155,49314956,49314957,60716884,254816460,49903699,39882726,39882725,49903697,61384219,74164826,258087650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162864, s2 = 14303651, dlinesl.size( ) = 2 s1 = 14162864, s2 = 14303651, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162864, Dl.E( ) = 24, 1.5e-05 seconds used appending s1 = 1280219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1280219, s2 = 484922, int(edited[s2]) = 0 s1 = 1280219, s2 = 484922, d1 = 3, d2 = 37 Dl.O(d1) = 32194530 Dl.O(d2) = 50018306,40000069,256015145,17493452,12334398,8332528,5377954,5377953,5377955,8332529,12334399,17493453,23831995,31322388,40000070,50018307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1280219, s2 = 484922, dlinesl.size( ) = 2 s1 = 1280219, s2 = 484922, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1280219, Dl.E( ) = 46, 1.79e-05 seconds used appending s1 = 7593663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7593663, s2 = 14987690, int(edited[s2]) = 0 s1 = 7593663, s2 = 14987690, d1 = 36, d2 = 55 Dl.O(d1) = 268736544 Dl.O(d2) = 178612065,187745620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7593663, s2 = 14987690, dlinesl.size( ) = 38 s1 = 7910371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8677471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8677471, s2 = 9734945, int(edited[s2]) = 0 s1 = 8677471, s2 = 9734945, d1 = 30, d2 = 37 Dl.O(d1) = 263591925,194181264,194181265,201221725,194586038,194586039,194181262,185961041,176532159 Dl.O(d2) = 62836618,75800717,269467208,256087612,254898494,13269897,18661511,25230038,32949317,41883916,46448603,46448604,46448609,57804469,60312983,57804460,57804459,270275873,72502763,258788344 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10226666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2606653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1282277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7625641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7625641, s2 = 16203328, int(edited[s2]) = 0 s1 = 7625641, s2 = 16203328, d1 = 6, d2 = 1 Dl.O(d1) = 269850274 Dl.O(d2) = 62078729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7625641, s2 = 16203328, dlinesl.size( ) = 8 s1 = 1624316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1624431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6669098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162996, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13212199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349262, s2 = 7909756, int(edited[s2]) = 0 s1 = 10349262, s2 = 7909756, d1 = 7, d2 = 7 Dl.O(d1) = 269456253,257729291,257729292,51330159,255622312,255622311,254629781,1228141,711734,401740,224743,124018,124021,118597,118600,216205,389742,254430737,268013343,254619405,254195027,1190400 Dl.O(d2) = 269456253,257729291,257729292,51330159,255622312,255622311,254629781,1228141,711734,401740,224743,124018,124021,118597,118600,216205,389742,254430737,268013343,254619405,254195027,1190400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349262, s2 = 7909756, dlinesl.size( ) = 2 s1 = 10349262, s2 = 7909756, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10349262, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 7909757, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8265219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10151880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7609754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1286134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1286577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1286577, s2 = 6864341, int(edited[s2]) = 0 s1 = 1286577, s2 = 6864341, d1 = 0, d2 = 11 Dl.O(d1) = 32371643 Dl.O(d2) = 259402895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1286577, s2 = 6864341, dlinesl.size( ) = 14 s1 = 1286778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1286778, s2 = 12664689, int(edited[s2]) = 0 s1 = 1286778, s2 = 12664689, d1 = 1, d2 = 26 Dl.O(d1) = 32376740 Dl.O(d2) = 89866421,103986201,118138463,131956020,145195224,157612095,169061581,179338115,188379934,196255348,202992275,208638151,213278187,217075710,220230725,222902529,222902530,220230723,217075709,217075710,220230724,222902533,274316746,225203541,225203538,222902528,265112898,225203536,227203443,228949981,230491527,265941264,234214515,266546023,237761594,238459884,239097929,239269076,238644127,266179904,236389514,265800586,232225352,265106674,227765296,225871065,223699282,221192964,218266851,214783564,210550605,205370212,199110764,191709686,183101831,173251706,259694486,149940988,136804851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1286778, s2 = 12664689, dlinesl.size( ) = 2 s1 = 1286778, s2 = 12664689, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1286778, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 8099984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8099984, s2 = 11099052, int(edited[s2]) = 0 s1 = 8099984, s2 = 11099052, d1 = 39, d2 = 35 Dl.O(d1) = 33209266,33209267,42169158 Dl.O(d2) = 254486397,2559788,254325033,6824630,254440459,3719846,5948248,9092243,9094838,255250791,20849569,14949322,11664263,7774857,4927024,2971701,2971702,4927025,6851502,4299628,254715583 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6669567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6669567, s2 = 14893507, int(edited[s2]) = 0 s1 = 6669567, s2 = 14893507, d1 = 38, d2 = 1 Dl.O(d1) = 257146816,41203623,51396512,53816858,53816857,51396521,51396520 Dl.O(d2) = 33078476,25347946,18766559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6669567, s2 = 14893507, dlinesl.size( ) = 2 s1 = 6669567, s2 = 14893507, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6669567, Dl.E( ) = 40, 1.31e-05 seconds used appending s1 = 11657252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1630481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1630481, s2 = 11151455, int(edited[s2]) = 0 s1 = 1630481, s2 = 11151455, d1 = 5, d2 = 11 Dl.O(d1) = 41277627 Dl.O(d2) = 24805797,256085605,32558664,32558663,41417622,48841998,48841999,59062818,47662704,37740816,29180005,29180008,37740821,47662709,59062829,60813990,49413786,49413787,49413779,39483981,30878394,23447836,17172085,17172084,23447835,30878366,268976603,49413766,39483970,39483971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1630481, s2 = 11151455, dlinesl.size( ) = 2 s1 = 1630481, s2 = 11151455, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1630481, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 10160917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10160917, s2 = 15023834, int(edited[s2]) = 0 s1 = 10160917, s2 = 15023834, d1 = 35, d2 = 57 Dl.O(d1) = 256414727,29904794,38462004,41284280,32444932,32444931,41284277,32445006,29904790,22548737,16372448 Dl.O(d2) = 235234025,266546537,237765829,238463947,238463948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10160917, s2 = 15023834, dlinesl.size( ) = 2 s1 = 10160917, s2 = 15023834, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10160917, Dl.E( ) = 58, 2e-05 seconds used appending s1 = 1630879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6944543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6944543, s2 = 6661041, int(edited[s2]) = 0 s1 = 6944543, s2 = 6661041, d1 = 0, d2 = 13 Dl.O(d1) = 260468149,132187498,260632938,132187498,118371033,258167664 Dl.O(d2) = 38733975,257056388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6944543, s2 = 6661041, dlinesl.size( ) = 14 s1 = 7901956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7901956, s2 = 3277092, int(edited[s2]) = 0 s1 = 7901956, s2 = 3277092, d1 = 14, d2 = 11 Dl.O(d1) = 49214986,39288325,254829388,17017843,17017844,23276286,30691082,39288323,30691080,30691079,32469642 Dl.O(d2) = 104216236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7901956, s2 = 3277092, dlinesl.size( ) = 2 s1 = 7901956, s2 = 3277092, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7901956, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 7572966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7572966, s2 = 9797100, int(edited[s2]) = 0 s1 = 7572966, s2 = 9797100, d1 = 6, d2 = 15 Dl.O(d1) = 268246652 Dl.O(d2) = 11809163,11809334,10488009,6915185,6915186,10488016,15205262,21161635,25771855,25771854,21161230,21161229,23142895,23142897,28379693,28379694,254492670,23422688,17145640,17145639,23422687,30853362,33293821,38290310,30559907,23142933,16882874,16882873,23142929,21971432,21971431,29298233,28380729,21163248,21163249,23303708,23303709,30721229,36433033,36433020,27974117,20810535,268291376,36433016,33293825,33293824,42274979,36875939,36875938,31764357,24252600,24252601,254910800,9426739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7572966, s2 = 9797100, dlinesl.size( ) = 2 s1 = 7572966, s2 = 9797100, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7572966, Dl.E( ) = 38, 1.72e-05 seconds used appending s1 = 927352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 927352, s2 = 7612817, int(edited[s2]) = 0 s1 = 927352, s2 = 7612817, d1 = 15, d2 = 16 Dl.O(d1) = 23557974,268672697,73993108,87593359,73993147,61214377,49736022,257627321,64711989,52798180,257153908 Dl.O(d2) = 269362036,8870727,5783541,254292033,223292,122761,122762,217903,392112,698486,698539,267776527,8836476,255228723 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13335179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1632385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9094595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1290487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8150115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8150115, s2 = 10341046, int(edited[s2]) = 0 s1 = 8150115, s2 = 10341046, d1 = 11, d2 = 6 Dl.O(d1) = 257219659,64788022,77981798,91905991,106100909,92907880,78801798,65471756,53451998,53451999,65471758,78801792,77981649,77981650,91905818,106100722,107312749,107312726,92907843,78801760,65471729,65471730,78801764,92907847,91905823,77981653,77981652,91905822,259718091,92907865,78801789,78801787,78801805,259588027,259554966,65471707,53451968,53451969,52404923,42061107,255602222,25376750,31913400,24381497,17982428,12744339,10680312,10680313,8660694,5633829,5633828,8660692,12744252,8660736,5633847,3501184,3501182,5633843,8660726,12744315,17982169,17982170,12744272,8660704,5633835,5633836,8660707,12744278,17982355,24381412,31913290,40627037,40627036,254195590,50685205,50686007,40628098,40628099,50685662,40627596,32257417,31912389,24381448,268121807,8660719,8660720,12744303,17982392,19652390,14086338,9689060,9689061,14086342,19652394,26386830,34264245,40628060,31913347,24381456,24381388,17982334,12744266,12744267,17982335,254881788,37335513,37335517,40627890,40627891,50685175,40627043,31912357,31912358,40627039,31912354,24380580,17981724,12743844,8660425,8660424,12743841,17981718,17982062,24381029,24381291,17982267,12744221,12744220,17982265,254893965,8801769,12937695,18239108,256079215,24710882,18239104,18239105,18239128,12937715,8801790,8801791,12937717,18239133,18198623,12908117,8780769,5718830,5718828,8780766,255223291,256075111,41051480,257722945,259610856 Dl.O(d2) = 256602704,8900965,8900964,254634042,254292454,1284797,1282131,733280,417265,417266,733367,1283560,2207556,2207554,254287894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8150115, s2 = 10341046, dlinesl.size( ) = 8 s1 = 9325693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9325693, s2 = 7473986, int(edited[s2]) = 0 s1 = 9325693, s2 = 7473986, d1 = 235, d2 = 184 Dl.O(d1) = 90263677,259296158,256855673,28556316,256316417 Dl.O(d2) = 267006668 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8075458, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1634746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1584483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1584483, s2 = 983346, int(edited[s2]) = 0 s1 = 1584483, s2 = 983346, d1 = 10, d2 = 7 Dl.O(d1) = 40060033,40060034,50081615,257071615,31377418,23880836,23880837,31377420,40059997,50081563,51670489,41428846 Dl.O(d2) = 24915999,18409554,13076289,8910586,8910587,13076290,18409555,24916002,32568744,256157918,23583659,255681758,255681756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1584483, s2 = 983346, dlinesl.size( ) = 2 s1 = 1584483, s2 = 983346, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1584483, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 6501994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1635535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1635544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1635544, s2 = 765838, int(edited[s2]) = 0 s1 = 1635544, s2 = 765838, d1 = 5, d2 = 11 Dl.O(d1) = 41476403 Dl.O(d2) = 19508703,256697015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1635544, s2 = 765838, dlinesl.size( ) = 14 s1 = 8262916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8262916, s2 = 7301604, int(edited[s2]) = 0 s1 = 8262916, s2 = 7301604, d1 = 52, d2 = 82 Dl.O(d1) = 258930836,63527626,63527625,257697958,41480261,32602325,32602324,256056706,18426625,24939500,32602327,41480263,51749598,63527621,63527620,76606993,63527622,51749593,51749594,63527625,257697958,41480261,32602325,32602324 Dl.O(d2) = 184699866,193066250,184699858,184699857,193066295,200245674,200245650,193066251,184699809,184699810,184699816,175117482,175117483,184699817,184699820,265169957,263491720,175120187,181528068,171527382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8262916, s2 = 7301604, dlinesl.size( ) = 2 s1 = 8262916, s2 = 7301604, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8262916, Dl.E( ) = 84, 4.51e-05 seconds used appending s1 = 9683383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1294183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13199209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9405102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1638528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1638528, s2 = 10170432, int(edited[s2]) = 0 s1 = 1638528, s2 = 10170432, d1 = 12, d2 = 25 Dl.O(d1) = 41599041 Dl.O(d2) = 2179130,1262745,719364,719363,1262743,2179125,3645589,5842055,8950156,5841818,5841817,3645644,2179158,254293741,4111103,4111104,6562347,5842094,3645615,2179140,1262749,1262748,2179137,3645608,5842081,268018973,18485517,15948748,255239210,13132989,8950617,8950618,8950622,13132880,8950524,5842054,254636843,255239119,25014366,256098383,270496408,256755731,27124857,20220493,18485180,254903711,8950385,13132674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1638528, s2 = 10170432, dlinesl.size( ) = 2 s1 = 1638528, s2 = 10170432, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1638528, Dl.E( ) = 26, 7.15e-06 seconds used appending s1 = 1296631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6882669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1639444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1580748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1580748, s2 = 12130133, int(edited[s2]) = 0 s1 = 1580748, s2 = 12130133, d1 = 22, d2 = 49 Dl.O(d1) = 39995189,41648602 Dl.O(d2) = 258731997,59234695,47837408,47837409,59234696,71972387,77555010,71972150,71972141,71972142,71972145,71972148,258279178,64386797,71972151,71972385,59234693,59234450,47837192,37915911,29346969,22014951,15913361,256375761,47837195,59234456,61761543,50282060,50282059,61761541,74544893,258279176,59234448,47837191,37915910,37915909,29346967,29346966,37915907,42794743,33763169,25954644,25954646,20851166,14950783,10284876,6760280,6760281,10284879,14950785,20851168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1580748, s2 = 12130133, dlinesl.size( ) = 2 s1 = 1580748, s2 = 12130133, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1580748, Dl.E( ) = 86, 4.01e-05 seconds used appending s1 = 581077, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1297934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1298161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8420945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657638, s2 = 9680388, int(edited[s2]) = 0 s1 = 11657638, s2 = 9680388, d1 = 1, d2 = 1 Dl.O(d1) = 211548594,273983012,206562561,264739285,265182859,221831204,265374843,224269315,221831210,218989310,218989296,215622327,211548576,211548577,215622330,274092238,264972173,215622321,215622332,211548578,211548571,206562566,200528080,200528081,206562567,211548574,215622325,218989294,215622344,211548598,206562578,200528088,200528089,206562574,211548585,215622338,218989302,221831196,264972176,211548575,211548574,215622325,218989294,215622344,211548598,206562578,200528088,193380916,185052248,262676412,152934780,140245323,126898096,113045500,99057800,85133323,71563029,58835741,256890707,28996320,28996318,37541599,38333800,48244110,59631189,258761989,99918085,260605275,261730365,165640590,176313103,263552499,201055273,207004221,211917841,215933496,219256914,217192874,213426434,208827572,273346200,188779661,179801214,169604454,158227882,261154228,179801217,262698690,203233964,208827573,208827574,213426435,217192877,220327064,220327066,217192880,264751244,218360217,218360213,214894427,210682404,205526205,199293019,193235550,184895216,175344217,173565454,162532674,150402359,137361117,123628932,109435465,95179272,81120798,67654268,55314826,44468904,35092393,35092394,44468909,55314829,55314828,47259380,37349893,28811318,21543475,15526645,10738284,7094768,7094767,255411415,255843918,36437392,27978482,20814777,20814775,27978477,36437387,46290588,57635233,61914295,50423838,46723703,36840939,28344083,28344084,36840941,46723706,49765103,39746645,39746643,44346606,34969081,26889991,20009035,20009034,18425876,13088060,13088063,268085196,7417891,7417892,11180097,16096597,22231169,29578793,29578792,38144992,30309126,30309127,38894911,47744857,254638800,28316961,27242698,20311856,14576789,10030456,10030457,14576792,20311859,254294776,21435562,21435563,28685371,37209455,47106239,58484557,63856638,52036795,52036794,63856637,76968634,84611796,71047895,58332249,46964544,46964545,58332251,71047898,256925672,37995315,29432861,22100770,22100771,29432863,37995319,47911370,59305767,72041375,65096318,53109435,42657604,42657603,42657602,33628730,33628731,42657619,42657574,33628697,33628696,34612670,33628752,25826742,25826743,33628754,42657652,53109500,268167852,54626345,53109593,52010120,41698484,32782133,267869380,13173848,8980283,5863032,3660404,3660405,5863035,8980286,13173853,18540499,25084711,32782148,41698499,52010137,63825901,258375139,52010135,41698495,32782146,25084710,25084709,32782143,41698493,52010129,63825890,258375135,52010131,52010132,63825892,76933535,90809759,104987614,119182590,133017606,146251664,261977440,261977442,262935518,206914267,200942975,200942976,203479464,203479463,209030384,213586913,215876701,213586910,213586911,217318646,217318643,217318644,220426486,223066297,225343282,225343281,225343286,227321438,229050039,229050040,230576105,231935979,231935980,233161933,233161934,233161935,234270804,235278552,235278553,236195989,236251433,237083657,237083659,236251434,235339310,234338564,233239249,233239248,232024870,232024869,266057264,232024878,232024872,230676643,229163307,229163308,229163310,229163309,230676645,232024867,232024868,233239246,234338560,235339302,236251430,237083650,237843783,238534893,239167869,239748624,266826154,240804930,240804929,240307903,239772101,239191794,238559865,237870757,237113991,236284791,235377006,235377004,234380985,233285625,232075626,230732043,229224636,227519275,225569144,223326680,220731944,217682752,214028811,209578428,204154613,197653370,190017414,181163425,171069890 Dl.O(d2) = 211548594,273983012,206562561,264739285,265182859,221831204,265374843,224269315,221831210,218989310,218989296,215622327,211548576,211548577,215622330,274092238,264972173,215622321,215622332,211548578,211548571,206562566,200528080,200528081,206562567,211548574,215622325,218989294,215622344,211548598,206562578,200528088,200528089,206562574,211548585,215622338,218989302,221831196,264972176,211548575,211548574,215622325,218989294,215622344,211548598,206562578,200528088,193380916,185052248,262676412,152934780,140245323,126898096,113045500,99057800,85133323,71563029,58835741,256890707,28996320,28996318,37541599,38333800,48244110,59631189,258761989,99918085,260605275,261730365,165640590,176313103,263552499,201055273,207004221,211917841,215933496,219256914,217192874,213426434,208827572,273346200,188779661,179801214,169604454,158227882,261154228,179801217,262698690,203233964,208827573,208827574,213426435,217192877,220327064,220327066,217192880,264751244,218360217,218360213,214894427,210682404,205526205,199293019,193235550,184895216,175344217,173565454,162532674,150402359,137361117,123628932,109435465,95179272,81120798,67654268,55314826,44468904,35092393,35092394,44468909,55314829,55314828,47259380,37349893,28811318,21543475,15526645,10738284,7094768,7094767,255411415,255843918,36437392,27978482,20814777,20814775,27978477,36437387,46290588,57635233,61914295,50423838,46723703,36840939,28344083,28344084,36840941,46723706,49765103,39746645,39746643,44346606,34969081,26889991,20009035,20009034,18425876,13088060,13088063,268085196,7417891,7417892,11180097,16096597,22231169,29578793,29578792,38144992,30309126,30309127,38894911,47744857,254638800,28316961,27242698,20311856,14576789,10030456,10030457,14576792,20311859,254294776,21435562,21435563,28685371,37209455,47106239,58484557,63856638,52036795,52036794,63856637,76968634,84611796,71047895,58332249,46964544,46964545,58332251,71047898,256925672,37995315,29432861,22100770,22100771,29432863,37995319,47911370,59305767,72041375,65096318,53109435,42657604,42657603,42657602,33628730,33628731,42657619,42657574,33628697,33628696,34612670,33628752,25826742,25826743,33628754,42657652,53109500,268167852,54626345,53109593,52010120,41698484,32782133,267869380,13173848,8980283,5863032,3660404,3660405,5863035,8980286,13173853,18540499,25084711,32782148,41698499,52010137,63825901,258375139,52010135,41698495,32782146,25084710,25084709,32782143,41698493,52010129,63825890,258375135,52010131,52010132,63825892,76933535,90809759,104987614,119182590,133017606,146251664,261977440,261977442,262935518,206914267,200942975,200942976,203479464,203479463,209030384,213586913,215876701,213586910,213586911,217318646,217318643,217318644,220426486,223066297,225343282,225343281,225343286,227321438,229050039,229050040,230576105,231935979,231935980,233161933,233161934,233161935,234270804,235278552,235278553,236195989,236251433,237083657,237083659,236251434,235339310,234338564,233239249,233239248,232024870,232024869,266057264,232024878,232024872,230676643,229163307,229163308,229163310,229163309,230676645,232024867,232024868,233239246,234338560,235339302,236251430,237083650,237843783,238534893,239167869,239748624,266826154,240804930,240804929,240307903,239772101,239191794,238559865,237870757,237113991,236284791,235377006,235377004,234380985,233285625,232075626,230732043,229224636,227519275,225569144,223326680,220731944,217682752,214028811,209578428,204154613,197653370,190017414,181163425,171069890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657638, s2 = 9680388, dlinesl.size( ) = 2 s1 = 11657638, s2 = 9680388, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657638, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9382499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1641955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9334922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7628556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7628556, s2 = 7640257, int(edited[s2]) = 0 s1 = 7628556, s2 = 7640257, d1 = 9, d2 = 10 Dl.O(d1) = 269977603 Dl.O(d2) = 270503482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7628556, s2 = 7640257, dlinesl.size( ) = 14 s1 = 7640258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7640258, s2 = 7628555, int(edited[s2]) = 0 s1 = 7640258, s2 = 7628555, d1 = 11, d2 = 8 Dl.O(d1) = 270503483 Dl.O(d2) = 269977602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7640258, s2 = 7628555, dlinesl.size( ) = 14 s1 = 7931040, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7908618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13282849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6531528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1644534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6479421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9382640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9337738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7996215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7996215, s2 = 1478146, int(edited[s2]) = 0 s1 = 7996215, s2 = 1478146, d1 = 31, d2 = 25 Dl.O(d1) = 55657545,44749312,35323136,27199305,27199304,35323133,32856308,25149459,18592910,13212590,13212591,18592915,25149464,21669809,15633218,10818465,7149793,7149792,10818461,11650197,11650196,16688933,22923133,18592697,13212437,13212438,18592701,25149231,25149519,25149511,25149508,32856340,32856169,25149236 Dl.O(d2) = 37909447,29340453,22008771,15907471,15907472,22008774,29340460,37909456,47831292,59229201,71967080,85554492,99501097,99501081,85554475,79381094,79381093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7996215, s2 = 1478146, dlinesl.size( ) = 8 s1 = 14162296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1302443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1646400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 721099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9347980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9070204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8095212, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1304846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1304869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9411877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9411877, s2 = 9736112, int(edited[s2]) = 0 s1 = 9411877, s2 = 9736112, d1 = 12, d2 = 12 Dl.O(d1) = 3669676,5877229,3669487,3669489,5877261,9002797,255244837,25139331,32844935,41765117,52078372,63896680,77007350,78004469,64810718,52889378,42482740,33486928,25712126,19084356,13625332,13625333,17135253,12042009,8095456,6080760,3804893,2279206,1321821,754132,754133,1321827,2279216,3804907,6080784,9282728,254976300,18998868,13558539,13558540,17950200,19011198,13630707,13565806,13565807,12619024,12619023,17822902,24192083,30038994,30038995,25656463,25656465,25601273,25601272,32839827,25134483,18580738,13204256,13204255,18580734,13567094,9289043,9289042,13567091,19009363,25623964,31144935,25625216,19010511,13567939,13567938,255177689,8360844,8360842,255177687,23888591,31385138,40067735,50089020,61569071,74345995,87948231,91122802,77205938,64064990,52223660,41892262,32956850,25236985,18668000,254909371,9061091,13276347,18668002,25236986,256623829,41892264,52223661,64064992,77205940,91122804,260252867,119577455,133444194,146693265,159058774,170394914,180529511,263331005,197139899,203713994,209205803,213713251,217412232,220497743,223122566,225390555,227361912,229086119,266050727,232753274,233897658,233897656,232753272,232753273,233897657,234940622,233897655,232753272,232753273,232753275,266081832,228482671,226670915,224591557,265514938,219407613,265142836,212119951,207241490,201325483,194296167,263441306,166032375,154279677,141623931,128273558,114397481,259796398,258795042,55426083,44579056,41201272,41201271,32381203,24761248,24761247,32381200,41201270,47239926,256334132,28792999,21528226,21528227,21537997,15522586,10735623,10735624,255411009,256335335,270815363,72406461,59671142,48283878,38373091,29801120,268227117,11309924,254779081,4746338,2860410,1660143,944652,532834,298885,298884,532831,944647,1660135,2860393,4746314,6118848,9341543,11309165,16266035,255441644,13670545,9361493,6131919,6131920,9306314,9306313,254492323,2599382,2599381,3823687,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,9273617,13546233,9328318,9328315,13622962,19081410,25618006,19003951,19003952,22663255,22663256,268496719,25135177,18581362,13677636,13653862,9349707,6124042,3831617,3831616,6124054,6084041,3806903,3806902,6084038,9287376,9303851,9303850,11683378,7790822,4939627,4939629,7790829,11683385,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13616522,9323704,9323707,13569125,19012039,18581892,13205038,9352270,6125820,6125821,9352278,7838801,7838798,11311726,11311728,16268698,22436183,26940456,20054533,20054535,25715151,31486509,31756453,24244753,24244754,19126445,19126444,25766073,24248788,17871695,16014796,16014762,16014763,22129550,16014862,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745918,7508050,11307891,11307890,8129926,5208676,3177823,1860202,1061557,596829,596828,1061556,1657178,942951,531852,531855,943013,1657336,2855677,4738220,7495592,11190804,7425192,7425190,11190801,16110970,22248036,21049800,15119854,15119853,15125343,255377841,15125360,15125361,21057133,25967113,19300989,13800130,13800131,19300990,25967114,33776949,36753477,36753478,36744492,36744491,46632120,46633875,36746751,28251231,28251233,36746317,28250759,21050361,15120270,10429181,6875867,4316388,4316389,267959583,10432677,15125605,21057415,28258484,24511862,18082283,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,18080708,24509831,24511224,24511225,32085121,40856629,40859078,32088407,24515005,18084921,12821329,8717122,8717123,12821330,18084922,17244604,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25704730,254718844,21322894,15351542,10605058,10605056,8129921,5208672,3177821,3177822,5208675,254830793,17192739,23474428,30910180,39519418,257618795,60853244,258393949,257189883,33076807,25346537,18765505,13362654,9132332,5976290,5976291,9132334,13362660,17899022,24279412,31793110,29306063,21978435,21978423,15883446,15883447,21978425,25345469,25345470,31388054,29306055,21978429,21978428,25346521,25346522,33076793,36842092,46725027,58097098,64187020,52336839,256633064,33054137,41997659,52336837,42430868 Dl.O(d2) = 3669676,5877229,3669487,3669489,5877261,9002797,255244837,25139331,32844935,41765117,52078372,63896680,77007350,78004469,64810718,52889378,42482740,33486928,25712126,19084356,13625332,13625333,17135253,12042009,8095456,6080760,3804893,2279206,1321821,754132,754133,1321827,2279216,3804907,6080784,9282728,254976300,18998868,13558539,13558540,17950200,19011198,13630707,13565806,13565807,12619024,12619023,17822902,24192083,30038994,30038995,25656463,25656465,25601273,25601272,32839827,25134483,18580738,13204256,13204255,18580734,13567094,9289043,9289042,13567091,19009363,25623964,31144935,25625216,19010511,13567939,13567938,255177689,8360844,8360842,255177687,23888591,31385138,40067735,50089020,61569071,74345995,87948231,91122802,77205938,64064990,52223660,41892262,32956850,25236985,18668000,254909371,9061091,13276347,18668002,25236986,256623829,41892264,52223661,64064992,77205940,91122804,260252867,119577455,133444194,146693265,159058774,170394914,180529511,263331005,197139899,203713994,209205803,213713251,217412232,220497743,223122566,225390555,227361912,229086119,266050727,232753274,233897658,233897656,232753272,232753273,233897657,234940622,233897655,232753272,232753273,232753275,266081832,228482671,226670915,224591557,265514938,219407613,265142836,212119951,207241490,201325483,194296167,263441306,166032375,154279677,141623931,128273558,114397481,259796398,258795042,55426083,44579056,41201272,41201271,32381203,24761248,24761247,32381200,41201270,47239926,256334132,28792999,21528226,21528227,21537997,15522586,10735623,10735624,255411009,256335335,270815363,72406461,59671142,48283878,38373091,29801120,268227117,11309924,254779081,4746338,2860410,1660143,944652,532834,298885,298884,532831,944647,1660135,2860393,4746314,6118848,9341543,11309165,16266035,255441644,13670545,9361493,6131919,6131920,9306314,9306313,254492323,2599382,2599381,3823687,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,9273617,13546233,9328318,9328315,13622962,19081410,25618006,19003951,19003952,22663255,22663256,268496719,25135177,18581362,13677636,13653862,9349707,6124042,3831617,3831616,6124054,6084041,3806903,3806902,6084038,9287376,9303851,9303850,11683378,7790822,4939627,4939629,7790829,11683385,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13616522,9323704,9323707,13569125,19012039,18581892,13205038,9352270,6125820,6125821,9352278,7838801,7838798,11311726,11311728,16268698,22436183,26940456,20054533,20054535,25715151,31486509,31756453,24244753,24244754,19126445,19126444,25766073,24248788,17871695,16014796,16014762,16014763,22129550,16014862,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745918,7508050,11307891,11307890,8129926,5208676,3177823,1860202,1061557,596829,596828,1061556,1657178,942951,531852,531855,943013,1657336,2855677,4738220,7495592,11190804,7425192,7425190,11190801,16110970,22248036,21049800,15119854,15119853,15125343,255377841,15125360,15125361,21057133,25967113,19300989,13800130,13800131,19300990,25967114,33776949,36753477,36753478,36744492,36744491,46632120,46633875,36746751,28251231,28251233,36746317,28250759,21050361,15120270,10429181,6875867,4316388,4316389,267959583,10432677,15125605,21057415,28258484,24511862,18082283,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,18080708,24509831,24511224,24511225,32085121,40856629,40859078,32088407,24515005,18084921,12821329,8717122,8717123,12821330,18084922,17244604,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25704730,254718844,21322894,15351542,10605058,10605056,8129921,5208672,3177821,3177822,5208675,254830793,17192739,23474428,30910180,39519418,257618795,60853244,258393949,257189883,33076807,25346537,18765505,13362654,9132332,5976290,5976291,9132334,13362660,17899022,24279412,31793110,29306063,21978435,21978423,15883446,15883447,21978425,25345469,25345470,31388054,29306055,21978429,21978428,25346521,25346522,33076793,36842092,46725027,58097098,64187020,52336839,256633064,33054137,41997659,52336837,42430868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9411877, s2 = 9736112, dlinesl.size( ) = 2 s1 = 9411877, s2 = 9736112, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9411877, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 8100497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1649183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9158954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1649592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194051, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14542255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14542255, s2 = 1306715, int(edited[s2]) = 0 s1 = 14542255, s2 = 1306715, d1 = 6, d2 = 6 Dl.O(d1) = 77258320,64111691,52262850,41924483,32984059,32984060,41924484 Dl.O(d2) = 77258320,64111691,52262850,41924483,32984059,32984060,41924484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14542255, s2 = 1306715, dlinesl.size( ) = 2 s1 = 14542255, s2 = 1306715, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14542255, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8087179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13309375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8334059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9447207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1653148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1653148, s2 = 13203514, int(edited[s2]) = 0 s1 = 1653148, s2 = 13203514, d1 = 8, d2 = 23 Dl.O(d1) = 41964255 Dl.O(d2) = 254605725,5493120,8492413,8494445,5495633,3385648,1994200,1139624,639349,354988,354990,639360,1139655,1993511,1139217,639144,354891,194533,194534,354877,354843,354844,639039,1139029,1993181,254410935,5493645,3416190,3416191,5530347,5563909,8519987,8519985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1653148, s2 = 13203514, dlinesl.size( ) = 2 s1 = 1653148, s2 = 13203514, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1653148, Dl.E( ) = 36, 3e-05 seconds used appending s1 = 13419423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162804, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8311755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8311755, s2 = 8197582, int(edited[s2]) = 0 s1 = 8311755, s2 = 8197582, d1 = 26, d2 = 13 Dl.O(d1) = 31073835,23590534,17278733,12158271,11256711,11256712,16193537,254716090,255093963,11310958,255912865,37420089,37420088,47328310,58213649,58213650,70930923,58745103,47357780,38293670,29726755,29726754,38293666,48203013,48202983,38293636,29726727,29726726,37867924,29298721,29298722,37867927,47792387,59192581,55462085,44613463,44613464,49770034,61248780,71447774,58716965,58716964,47328354,43953388,34678734,34678732,34678726,34678706,28878468,28878467,21603185,21603187,28878492,37420103,47328323,38387817,38387816,48284513,256900230,58213669,58790956,47403490,37495757,37495758,47403491,51666660,41424388,256091683,18406847,13074313,13074312,18406846,24912284,25806427,25806428,33604006,28388153,21527484,15514844,15514845,21527491,28792198,37329254,29437520,22104742,15994020,15994021,22104744,26260633,26260634,32564262,41424396,47239003,47239002,58632355,58632356,49361319,46600464,46600465,46600489,36712319,28219654,21024520,255012599,6864876,10414307,254489357,2576126,2576125,4308297,6864809,10414297,15100204,21024255,21024256,28219381,21024305,21023980,21023981,28219102,21024601,15100444,15100445,255012611,6864905,4308356,4308357,6864910,10414468,10414255,6864783,4308285,2576117,2576116,4308281,6864773,10414240,6864866,6864865,10414395,15100357,21024345,21024346,28219461,255375424,21024097,15100068,10414211,10414210,15100066,21024093,25856991,19200042,19200043,25856995,29878124,29878123,38436970,48340614,46600345,36712129,28219467,21024348,21024350,28219472,36712137,46600350,57977479,269336552,38436988,256955659,36711844,28219171,22521557,22521558,21279871,15317410,15317409,255822649,268640149,29878161,29878162,256633810,25658082,19039272,19039271,25658081,33426243,25658105,25658104,33426321,42416951,33426311,25658097,25658095,20819182,20819183,256806441,57639860,70330009,269330812,99610344,87781063,74176301,74176302,77408960,64259214,52403772,52403767,42059864,33110643,33110644,42059868,256925509,38034069,47947752,58793623,53847460,43962615,34687377,26692928,19873089,14238462,14238461,19873087,26692920,34687365,43962594,255813318,47815076,47815077,59213492,71522870,70845234,257419872,46762924,58130818,60618748,72456090,70793501,70793502,58793617,58793618,71522900,59213441,58130662,58130663,70845135,62652512,62652513,70695276,57977312,46600132,36711887,28219199,28219198,36711884,268607988,59386804,51026478,40889133,40889135,51026483,269815103,38430417,29869346,22509961,22509962,29521270,22178805,22178806,16336221,11366213,11366212,16336220,22509948,29869328,38430395,39130497,31064261,23580533,17268667,17268668,23580537,31064269,39742186,48335207,38430538,38430537,38430544,48335211,59720129,53256870,42803973,42803972,53256868,61239931,49760859,39742160,31064252,23580527,23580528,31064253,39742162,49760864,61239936,71764758,59020714,47616501,37691467,37691468,37837718,39276387,30679492,30679491,39276384,40473750,40473749,50509041,59383292,58881587,51667130,41424997,41424996,41424426,32564641,24912581,18407033,18407032,18407978,268017403,8909805,13075150,18407984,24913303,29129290,29129289,37691475,38082843,47995109,59384469,51666237,41425672,256091777,24913282,24913296,24913297,31902417,39207579,32564704,24912626,24912625,32564702,40077196,267788448,29097854,21800413,15740426,11297417,11297418,16249944,267788452,37699533,37701811,254750222,255429416,258077827,66844740,54585563,54585564,58818304,58818305,66844873,54585701,54585700,54584944,43840055,43840054,54584941,59182278,47782888,37858915,37858916,47782889,49412674,47235448,40237052,40237055,41315661,41315660,48390433,59773534,55450583,55450584,51536526,41315653,32470149,24830584,18337065,13016833,13016832,18337063,24830579,32470142,32470100,24830554,24830552,32470097,30315053,22914942,16681807,16681808,22914947,30315058,38901669,48823980,38901662,255919470,29267974,36546378,258005217,33033024,33033025,256965800,38124014,38510733,29947083,22584038,255920677,38510728,30691687,23276892,255252950,11934646,16271958,11314610,7512681,4749128,2862160,1661140,945132,533069,533068,945122,1661106,2862086,4749011,7512490,11314317,16271566,22439175,256410203,48287931,59675037,72410460,259390693 Dl.O(d2) = 103219944,89131251,75386257,62470466,269022445,24443803,24443802,28725367,37256881,40757757,40757759,32002816,24443772,18027678,18027679,24443773,32002818,40757761,40757760,257153970,24846951,18350895,268015865,254433281,254199567,1244616,2151739,2151745,1244621,707352,707353,707373,399182,399181,707371,1244644,1244664,2151792,3605086,2151786,1244659,707378,707377,1244636,1244635,1244641,1244640,2151762,3605050,5783980,8871380,13028076,10892953,10892952,11334855,7532223,7532224,4872131,2935936,1702606,967836,967835,1702604,2935931,4872116,7698095,11565792,255054526,21783289,17459870,14381080,9886848,9886846,14381079,10894172,10503990,6926215,254748331,4536992,2727132,2727130,4536988,7201276,6483304,4062591,4062587,4500257,4062530,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,281873,155620,155621,281878,502674,890825,1566630,2429897,2429898,1405582,1405583,2429902,4059864,6478662,7205951,4539944,2728774,1580933,1580934,2728779,4539951,4074494,2437924,1409627,1409628,2437927,4074405,6502296,9894660,10880299,7193404,4531723,4531724,7193407,9866388,6481249,4061382,4061381,6481246,9866385,9896502,9891844,9891845,7144734,4498881,2703303,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076018,4076016,6487617,4065160,4065163,4076544,4076542,6505439,9898448,7193210,7193211,9871270,6484684,4063471,2431835,1406607,800440,453632,453630,800433,1406599,2431820,4063448,3829261,3829263,6120353,9344070,13645936,14358499,9866136,9866137,13708764,9881843,7375144,254765439,16014638,22129432,29464246,29086773,21789392,17911092,17911091,24293153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8311755, s2 = 8197582, dlinesl.size( ) = 8 s1 = 1654050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1840462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1840462, s2 = 7653164, int(edited[s2]) = 0 s1 = 1840462, s2 = 7653164, d1 = 35, d2 = 31 Dl.O(d1) = 268995385,17492603,23830955,31321213,39998673,38902298,38902299,38902443,38902445,48824631,38902472,30315704,30315705,38902475,48824461,38902232,30315519,22915338,22915340,30315524,38902206,30315503,22915328,22915329,30315506,38902213,38902243,38902494,38902012,38902013,30315600,30315599,25449255,25449254,33195088,38902419,38902183,30315485,22915316,16682094,11644530,7757728,7757729,11644534,16682099,22915322,30315494,38902171,30315471,30315470,38902165,38902308,30315579,268652392,30315680,38902441,256993761,48824279,38902249,30315538,268417448,16682112,11644540,7757731,254802461,16682105,22915333,30315508,38902215,30315589,22915383,16682139,11644558,7757737,7757738,11644560,11644598,16682196,22915460,30315709,38902218,30315511,30315512,30315665,38901956,30315658,30315659,38902192,38902193,48824402,48824275,48723597,38902314,30315583,22915378,16682135,11644554,11644553,16682133,22915375,30315355,22915215,255122388,7757706,4913095,4913094,7757703,254550414,4913107,7757733,11644545,16682120,16682178,16682180,11644592,7757759,4913122,2961507,1717417,1717418,2961509,4913124,7757768,11644609,16682217,22915491,30315736,38902524,48824706,60221774,72961473,72961430,60221718,48824644,48824217,48824218,38902449,30315681,30315630,30315631,38902377,43936532,43936531,54678953,258507706,48824681,38902500,30315721,30315720,38901954,38901955,30315642,30315643,38902405,48824606,48824581,38902389,38902384,256053732,60221670,48824587,48824588,60221672,72961402,86560823,76997270,63886920,63886919,71833433,77979884,72961420,72961421,86560831,85099996,71528722,58799756,58799757,64248391,64248392,72322975,85099967,71528675,58799691,47412828,42049541,33100883,25366445,255222264,25812306,25812305,33611189,42636952,53085028,59588558,48202083,48202082,38902261,38902260,40218195,40218196,50238332,60085673,51111987,40969729,32190077,32190078,25366441,25366442,33100881,42049536,52393275,47412850,37505259,37505257,47412847,58799710,59588442,48201957,47412811,47412812,58799674,47412886,257079130,71528728,64248388,64248387,77398169,65067590,65067589,65067593,53085020,42636943,33611184,25812303,19163729,19163728,25812296,33611176,42636928,53084998,65067580,64552404,52652863,42266995,42266996,42636932,42636931,53085002,51850055,51850054,59588448,59400073,59198267,47798369,37874346,37874345,47798367,59198265,71937733,76974015,85916242,75465244,62542057,50938001,40818104,40818105,48824695,60221764,71528666,65067575,58799724,47412861,47412807,37505236,37505237,47412809,58799670,53085041,42636969,33611206,25812317,19163737,13684524,13684523,19163732,25812309,33611196,37505269,28962018,21679917,21679916,28962014,37505264,42636937,42636936,53085010,59588520,59588451,48201963,38292594,38292595,48201966,59588454,59588475,48201983,38292605,38292607,48201986,59526056,48824693,38902514,30315729,30315730,38902517,48824700,47412823,37505241,28962000,21679908,21679909,28962003,29725775,29725776,38292637,48202030,59588513,53085046,42636975,33611211,25812322,25812321,27058596,35143852,44520197,40969747,38292652,29725785,22369284,16214810,11271717,11271716,16214806,22369273,26338626,34212380,43310615,38933207,38933206,38933211,48852599,60245589,61664670,70421788,59588504,59588503,53835223,53835224,52564754,42204344,33242816,33242817,42204349,52564761,48201978,38292602,29725759,29725757,37597237,38078183,37597233,29049428,29049425,37597226,40207526,48202056,43310620,38228870,38228869,48138982,53835205,59526066,48139039,48139038,51398599,41205840,32385532,32385533,41205841,51398601,59526069,48852566,256451801,30347511,30347497,30347496,38933162,48852542,59526035,48138997,38228837,29662392,29662391,29662403,29662402,38228855,48139024,47990889,38078165,29513673,22172249,22172250,22172259,22172260,19610114,19610113,26338612,34212347,38933229,30347553,22946225,16709959,11669014,11669015,16709964,22946231,30347559,35248269,38077458,29512972,22171737,22171736,29512969,38077453,47990195,59380326,59380313,47990180,47990179,53835183,60245538,48852534,38933155,38933154,38933191,38933190,48852579,57753985,48138996,38228830,38228829,48138979,48138978,48139023,59526050,59380937,47990885,38078159,38078158,47990882,43310579,34212361,26338618,26338617,34212357,43310556,48852560,38933176,30347505,22946200,16709944,16709943,22946198,30347500,38077430,38077428,47990158,47990197,40544466,38077445,38077446,47990185,49438282,49438281,58491757,71213504,73589648,60839973,60839972,60245533,60245534,70449132,57753989,46403043,36541732,36541731,46403040,48138991,59526028,62072790,73006107,73006106,258394138,47990892,47990893,50580603,62072761,65902229,53835199,53835200,257079136,31846280,24326496,17938553,12710922,12710923,17938555,24326503,31846288,39921234,49939032,50580654,50580655,62072814,50580650,40544463,40544464,50580652,62072819,71213486,84782512,94358767,88506792,75552145,62614531,257790822,46403038,51189697,41033322,41033321,51189695,60271466,48879687,47990145,47990146,47514937,47514938,50580606,50580605,59588532,62072809,60232443,48838070,47514927,40544451,31846273,24326489,17938549,17938550,24326481,17938544,17938543,24326479,31846260,40544437,50580630,43310569,34212354,34212355,43310573,53835197,61416987,61416989,71614393,61476643,61476641,74254708,73247761,60500762,257070230,39167004,49097157,40368151,31673540,24163930,17796146,12596679,12596680,16624429,16624431,17484102,17484101,23819361,31306653,39981983,40516565,36541744,36541746,36541740,36541739,36541772,28074160,20902228,14997583,14997584,20902229,22291484,29643428,38210094,36512970,36512971,46371836,47514905,37709849,37709850,38210114,29643446,29643444,23761028,23761029,31245571,39921242,49939038,48120529,38210125,33562225,33562224,39171792,39283075,39283074,40536173,50403523,50403522,49998919,39982006,31306671,23819372,17484110,12327830,12327829,17484106,17919831,24303461,31819868,28074142,20902216,20902215,28074139,28074181,20902247,14997595,10328126,10328125,14997591,20902240,28048823,20880486,20880487,28048827,21841472,15771895,10924470,10924471,15771900,12973253,12973254,18278690,20951353,28129261,36603121,35250643,35250644,29643454,29643455,38210132,36454420,27995995,27995993,36454416,255503040,34272505,34272504,34272506,255120052,18132666,12857572,12857571,18132664,24574452,32158897,25523101,18913706,13482912,13482911,18256376,12953063,12953064,18256378,24574460,18132669,18132667,24574458,32158908,40937186,33931581,32353223,24737220,24737219,27206480,27206481,32344852,41150104,47389537,37511876,37511877,28968538,28968539,25214134,22708644,255223964,15645751,14908984,10251312,6735760,6735761,8636513,8636514,12711375,12711373,255253239,25311845,33039453,41983178,256686121 Dl.O(d2) = 107051878,258914652,78649520,65346418,65346417,78649521,271087237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1840462, s2 = 7653164, dlinesl.size( ) = 2 s1 = 1840462, s2 = 7653164, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1840462, Dl.E( ) = 40, 2.29e-05 seconds used appending s1 = 9117977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13314083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9036621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9036621, s2 = 14953045, int(edited[s2]) = 0 s1 = 9036621, s2 = 14953045, d1 = 68, d2 = 71 Dl.O(d1) = 164141489,174960929,174960924,262153138,176322443,262739618,176322489,165651917,262723681,185767546,273555548,185767571,185767507,262263482,153872929,153872930,273360904,273360914,262263494,261202796,127837039,127837038,261731311,154274747,141618883,141618884,154274749,166027472,167279678,165651944,153873001,141198205,141198206,141198141,127836986,113958245,99935366,85977304,72382132,72382133,85977307,260006281,127836997,141198161,143393599,141198241,127837114,127837112,130063526,143393604,155933875,167545854,176322543,165651990,165651989,176322464,185767524,176572833,176572834,166311056,154590716,141946528,141946527,262263500,165651962,153873028,141198235,141198234,141198193,127837027,113958315,270854148,85977350,72382158,259388185,113958314,113958340,113958339,127837107,141198272,128585454,114688084,100642631,86669264,73063935,60323050,60323051,73063940,86669276,99935379,85977313,85977314,99935384,113756958,113756959,127625607,113958395,113958394,127837177,120084153,120084152,127837154,113958381,99935490,99935491,113958383,127837160,141198341,260045986,127837102 Dl.O(d2) = 71216331,81256102,95316518,81256115,67786696,55443232,55443231,67786693,81256107,95316527,98194073,84297690,70745880,70745882,72857371,72857370,86452982,73064504,60323616,48925130,48925131,60323619,73064506,86669855,100643219,102464230,88460347,74826929,62030432,62030433,70745885,84297693,98194080,112156925,125993593,126572283,112708555,98713122,98713121,112708552,126572280,127719938,139344705,125993580,270506490,84297681,98194063,100643215,100643214,260409872,95607719,81573755,81573754,95607718,95316603,81256157,81256156,95316599,109572715,109572714,271662312,127937267,137627672,127719935,113849064,99833321,99833320,112708546,112708547,259380857,259380859,113849069,261175797,272095609,109572779,95316628,95316629,109572783,259797434,81256165,67786724,55443252,44593062,35212371,35212369,44593060,55443247,67786722,81256160,95316608,109572765,123763621,123763655,109572748,95316587,85879787,72287800,72287798,85879782,99833319,113849059,116563311,123763662,113849093,113849092,114688590,114688589,128585899,141070604,127719941,127719940,141070600,150624589,162722745,173729855,183448559,173661556,162639516,150519495,137488524,123763667,123763666,123763686,123763685,123948219,109810824,95607710,95316634,81256186,67786746,55443265,55443263,67786734,55443258,55443256,67786730,81256173,95316589,81256149,67786713,55443240,55443238,67786711,59553666,59553667,72287806,85879791,99833326,113849071,113849128,109572774,99833359,99833357,270663422,115645422,129530357,141070596,141070595,137627623,123948206,109810812,95607697,81573735,81573736,95607699,95607711,109810825,99833389,99833387,113849135,109810832,109810830,95607776,81573804,81573807,95607691,109810802,123948200,109810904,109810905,99833381,259998851,87638552,74035050,61255014,61255015,74035055,87638558,87638534,74035037,61255011,268987723,39757533,269389825,74035040,87638537,101605255,115645411,129530345,261090654,155428389,262162124,153736786,141070619,127719972,113849110,99833368,85879831,85879832,87638570,74035059,74035060,87638573,101605292,99833408,99833407,88088849,74476913,74476912,88088847,102075089,99833373,88088851,88088852,99833404,113849104,271299230,258664098,74476921,61694355,50212477,40190426,31505249,31505250,40190431,50212482,61694370,74476935,88088879,102075120,112891162,98903689,98903690,104973078,90796793,90796792,84526960,70963372,58246818,58246819,70963374,84526964,98448895,105927056,115645445,101605302,91719305,77791291,64608323,64608322,77791288,88088854,74476916,74476917,88088858,88088827,74476893,74476892,77791328,77791329,91719356,105927026,99833397,85879851,85879852,74476905,61694344,61694343,74476900,88088835,74476929,61694364,61694363,74476927,88088867,102075108,116132550,130041710,126303193,126303192,123948227,109810840,109810839,95607731,91719390,77791356,64608379,64608378,77791353,91719385,105927059,120139187,105926994,105926995,99833420,85879882,72287901,72287900,84527083,74809076,62012380,62012381,74809082,77791325,64608351,64608350,77791320,88088901,74476957,74476956,88088897,78323240,65043308,53060409,42612680,42612681,53060411,55685463,44777195,44777194,55685459,68083874,81573796,95607764,109810881,123948268,116540168,116540169,130378228,130378229,139676075,152399196,147203699,133980940,120139220,105927053,91719381,77791350,64608374,52707811,42320660,42320662,52707815,64608383,62012372,62012373,74809066,88441616,102443422,88441627,88441628,102443432,91719346,91719345,98870634,84944447,71368266,58631604,58631607,71368272,84944456,98870642,112858242,126709993,260511874,112858246,126709997,133960397,120118600,105906870,105906869,91699668,77772338,64589561,258415559,91699665,88184429,84944399,84944396,84944395,84944406,84944407,98870566,98870579,112858190,126709963,140057543,140057570,126710010,112858257,112858258,100049981,86087457,86087456,100049976,114076378,126709964,117236458,103119342,89047510,89047509,84944445,84944446,84944453,84944452,84944463,84944464,98870654,112858255,126709900,112858058,98870647,98870648,112858250,121153476,106885328,92565748,91354437,91354439,102175568,102175569,91699626,91699627,98870560,84944401,71368238,58631589,47238292,47238294,58631594,71368245,84944418,86240337,72637656,59895806,59895805,72637653,86240333,100208647,114076380,114076372,114076371,114076375,122195783,107790321,93367951,79239909,79239908,93367947,107790318,122195779,126709991,126709978,261115445,140057515,126709904,112858061,98870437,92565747,78518966,65229735,53241250,53241251,65229740,78518971,91354442,91354443,91699615,77772317,64589548,52688995,52688994,64589543,77772303,78518992,92565774,84944412,84944413,98870572,98870576,98870575,260537559,140057540,148086866,134963538,121153503,106885360,92565786,92565785,79239911,65875434,65875435,79239916,92565808,87756891,74152671,61372393,49891918,39869832,268992059,61372394,74152674,78518977,65229744,53241254,42789977,42789978,53241256,64279840,77432227,74152688,74152686,87756901,91699620,105906838,120118586,119816254,105577234,105577235,112858180,126709956,115774359,101729343,87756898,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86292,39764583,49784034,61263086,74042989,87646212,101612886,87645890,87645891,74042947,61263062,49784022,39764574,39764573,49784020,61263061,61262905,49783934,49783935,61262908,74042725,74043129,61263192,49784105,39764625,31086319,31086318,39764622,49784102,61263186,74042729,87645912,74043105,61263176,49784093,39764618,31086315,31086316,39764620,49784053,49784054,61263120,61263274,61263275,74043241,74043012,61263110,49784046,49784048 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8042842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8375878, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 509318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 509318, s2 = 14242867, int(edited[s2]) = 0 s1 = 509318, s2 = 14242867, d1 = 8, d2 = 8 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 509318, s2 = 14242867, dlinesl.size( ) = 2 s1 = 509318, s2 = 14242867, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 509318, Dl.E( ) = 10, 3.7e-05 seconds used appending s1 = 1657299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1657299, s2 = 1760110, int(edited[s2]) = 0 s1 = 1657299, s2 = 1760110, d1 = 13, d2 = 3 Dl.O(d1) = 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Dl.O(d2) = 46499950,57855952,70557439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1657299, s2 = 1760110, dlinesl.size( ) = 2 s1 = 1657299, s2 = 1760110, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1657299, Dl.E( ) = 14, 2.6e-05 seconds used appending s1 = 11655940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9334665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9334665, s2 = 14163225, int(edited[s2]) = 0 s1 = 9334665, s2 = 14163225, d1 = 1, d2 = 1 Dl.O(d1) = 2318579,2341505,2341459,2341461,3910751,6246919,9524033,13881807,19404875,26010660,19336433,19336434,23256738,268266178,26422580,19685585,14113666,14113667,19685588,26367330,19634829,14071755,14071756,19634831,24348765,24348766,26053176,26053175,33876015,32361540,24745086,24745087,19686814,19686813,26424016,26232756,19516691,19349413,19266510,19266509,22996646,30400874,26028040,19351149,13839941,9493209,9493208,13839940,19351148,19510657,19336451,13827657,13827658,13842743,9495488,6227802,6227801,9495483,13827668,9495590,6307850,6307849,9604561,13982694,19529704,26246956,33376104,269087989,43413864,43413863,53940764,256609986,91791603,78616081,66011082,66011083,78616078,65317843,53318148,53318147,50313255,40292402,31609381,24107185,17748406,17748408,24107191,31609389,40292418,33813984,33813983,42855339,53318176,65317867,63612962,51824055,42365002,33376253,25611315,23329487,23329486,30751732,39352087,49278736,60679621,52764402,52764401,64679207,76703500,65474535,61232784,49753816,39735104,39735105,48911326,38989393,30401480,30401479,38989389,48911319,41543300,32654564,32654565,41543305,51823863,63612805,63612929,62827673,255636406,65765597,65765598,79121394,72074175,59340024,59340025,51823982,51823980,51823981,58751747,47365701,37460245,28920807,28920806,37460243,47365698,58751740,55203734,55203733,58715183,71446337,85019002,90572397,90572395,256886130,58780476,47393421,37485749,255851936,256344512,46708047,36825976,36825975,46708041,257416317,46708704,55203787,55203788,67547506,58080103,46708669,46708668,58080101,58080133,46708714,36826528,36826003,36826004,36825993,36825994,36825942,255809305,21119297,28330186,36825945,46707995,46708269,46708268,258026281,46707955,36825911,28330164,28330165,28330168,36825913,36826635,28330652,21119576,15172223,10463853,6897380,6897381,10463856,15172225,21119580,28330053,21119221,21119224,28330058,21119541,15172205,15172203,21119535,28330589,28330619,28330617,21119591,15172233,15172232,21119589,28330677,36826649,46708863,37485893,37485894,28943852,21665064,15629308,15629307,21665041,21665040,28943884,28943829,28943830,37485876,46707540,36825547,36825545,46620702,57996897,58079390,70796443,58079404,58079403,70796456,84264846,84458763,70902256,58189291,58189292,64248044,64248045,59961714,59961713,52391179,42047129,33098875,33098877,42047134,52391008,42046974,33098736,25364984,18781895,18781894,25364982,33098732,42046968,52390996,42047541,42047542,52391576,64247270,64246924,52391143,42047095,42047096,52391146,42047108,33098861,268374476,255010366,6848864,4297599,2569353,1945137,1111245,1111246,1945145,1112335,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469990,831536,468999,466666,466667,826618,1460308,2534098,4238310,2537733,2537735,4244411,6755231,4233035,2530908,1458492,1458490,832318,832319,1471494,2554547,4272567,4247796,2539606,1463279,1463277,2539600,4247788,6776741,4295433,4281687,4265359,2550149,1469035,1469033,2550145,4247357,254218469,828052,467342,262927,262926,467338,828040,1463130,2539331,4247300,4247228,4247158,4234220,2531631,1458897,825923,825924,1458903,2531647,4234249,6757059,4257857,4257852,6791260,9325121,6108368,6108369,267957549,6797571,10296803,10296804,12517026,8479831,8479832,5950203,3721030,2228067,1292194,737527,737526,1292191,2228058,2565907,4291710,6839926,9314617,6101672,3817753,2287198,2287199,3817750,3817751,3713532,3713533,5938965,5956299,5212384,5212385,8135448,5931972,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,3716896,2225711,2225713,3716901,5944069,5586343,3465804,3465802,5586338,8597350,11222533,7446283,7446282,11222532,16153383,255901363,17878181,17878182,22298588,29650494,38216781,36628315,28154531,28154530,36628313,38216782,29650496,22298589,16153339,11222507,7446265,4704688,2834154,1644165,1644164,2834152,4704685,7446262,11222501,16153326,21582543,15558547,11222498,11222499,16153324,22298571,28905319,28905318,37444702,47351291,51919651,41617696,41617697,51919652,43850734,34578922,26591644,26591645,34578925,43850738,44637854,35253328,256758453,28280430,21075623,15138754,10441115,6883166,6883165,10259313,6741641,4224446,2525976,2525975,4224435,6741627,10259279,14919755,20816438,15896367,15896368,268397195,35230142,38689427,38689425,36776315,36775911,36439435,36439436,40292403,40292404,50313256,258281579,79122338,79122339,93238774,102184659,116246922,122017328,122017329,122017327,122017326,135945499,149169975,161456781,172633345,172633346,174693034,163875208,257511434,125950353,258121032,84263155,70711806,57994995,257062622,256516048,21038474,15741251,15741252,15566103,10766703,7113736,4478915,4478914,4479459,4479222,4479221,2945092,1707964,1707966,1559114,1559111,2691332,4479389,5396736,5396737,8361138,12373349,17542435,23889145,31385643,40068179,50089452,61569508,74346421,87948651,101921076,260721783,143191328,272901541,263243817,195216392,264197246,200876482,193790985,185527782,176058746,176058745,262201114,192964229,192964230,273151826,164159655,152274388,139542625,139542626,126166776,112306005,98323090,84413425,84413426,86920311,73310119,60566912,49167623,39241793,30645390,30645391,39241795,49167621,41097480 Dl.O(d2) = 2318579,2341505,2341459,2341461,3910751,6246919,9524033,13881807,19404875,26010660,19336433,19336434,23256738,268266178,26422580,19685585,14113666,14113667,19685588,26367330,19634829,14071755,14071756,19634831,24348765,24348766,26053176,26053175,33876015,32361540,24745086,24745087,19686814,19686813,26424016,26232756,19516691,19349413,19266510,19266509,22996646,30400874,26028040,19351149,13839941,9493209,9493208,13839940,19351148,19510657,19336451,13827657,13827658,13842743,9495488,6227802,6227801,9495483,13827668,9495590,6307850,6307849,9604561,13982694,19529704,26246956,33376104,269087989,43413864,43413863,53940764,256609986,91791603,78616081,66011082,66011083,78616078,65317843,53318148,53318147,50313255,40292402,31609381,24107185,17748406,17748408,24107191,31609389,40292418,33813984,33813983,42855339,53318176,65317867,63612962,51824055,42365002,33376253,25611315,23329487,23329486,30751732,39352087,49278736,60679621,52764402,52764401,64679207,76703500,65474535,61232784,49753816,39735104,39735105,48911326,38989393,30401480,30401479,38989389,48911319,41543300,32654564,32654565,41543305,51823863,63612805,63612929,62827673,255636406,65765597,65765598,79121394,72074175,59340024,59340025,51823982,51823980,51823981,58751747,47365701,37460245,28920807,28920806,37460243,47365698,58751740,55203734,55203733,58715183,71446337,85019002,90572397,90572395,256886130,58780476,47393421,37485749,255851936,256344512,46708047,36825976,36825975,46708041,257416317,46708704,55203787,55203788,67547506,58080103,46708669,46708668,58080101,58080133,46708714,36826528,36826003,36826004,36825993,36825994,36825942,255809305,21119297,28330186,36825945,46707995,46708269,46708268,258026281,46707955,36825911,28330164,28330165,28330168,36825913,36826635,28330652,21119576,15172223,10463853,6897380,6897381,10463856,15172225,21119580,28330053,21119221,21119224,28330058,21119541,15172205,15172203,21119535,28330589,28330619,28330617,21119591,15172233,15172232,21119589,28330677,36826649,46708863,37485893,37485894,28943852,21665064,15629308,15629307,21665041,21665040,28943884,28943829,28943830,37485876,46707540,36825547,36825545,46620702,57996897,58079390,70796443,58079404,58079403,70796456,84264846,84458763,70902256,58189291,58189292,64248044,64248045,59961714,59961713,52391179,42047129,33098875,33098877,42047134,52391008,42046974,33098736,25364984,18781895,18781894,25364982,33098732,42046968,52390996,42047541,42047542,52391576,64247270,64246924,52391143,42047095,42047096,52391146,42047108,33098861,268374476,255010366,6848864,4297599,2569353,1945137,1111245,1111246,1945145,1112335,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469990,831536,468999,466666,466667,826618,1460308,2534098,4238310,2537733,2537735,4244411,6755231,4233035,2530908,1458492,1458490,832318,832319,1471494,2554547,4272567,4247796,2539606,1463279,1463277,2539600,4247788,6776741,4295433,4281687,4265359,2550149,1469035,1469033,2550145,4247357,254218469,828052,467342,262927,262926,467338,828040,1463130,2539331,4247300,4247228,4247158,4234220,2531631,1458897,825923,825924,1458903,2531647,4234249,6757059,4257857,4257852,6791260,9325121,6108368,6108369,267957549,6797571,10296803,10296804,12517026,8479831,8479832,5950203,3721030,2228067,1292194,737527,737526,1292191,2228058,2565907,4291710,6839926,9314617,6101672,3817753,2287198,2287199,3817750,3817751,3713532,3713533,5938965,5956299,5212384,5212385,8135448,5931972,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,3716896,2225711,2225713,3716901,5944069,5586343,3465804,3465802,5586338,8597350,11222533,7446283,7446282,11222532,16153383,255901363,17878181,17878182,22298588,29650494,38216781,36628315,28154531,28154530,36628313,38216782,29650496,22298589,16153339,11222507,7446265,4704688,2834154,1644165,1644164,2834152,4704685,7446262,11222501,16153326,21582543,15558547,11222498,11222499,16153324,22298571,28905319,28905318,37444702,47351291,51919651,41617696,41617697,51919652,43850734,34578922,26591644,26591645,34578925,43850738,44637854,35253328,256758453,28280430,21075623,15138754,10441115,6883166,6883165,10259313,6741641,4224446,2525976,2525975,4224435,6741627,10259279,14919755,20816438,15896367,15896368,268397195,35230142,38689427,38689425,36776315,36775911,36439435,36439436,40292403,40292404,50313256,258281579,79122338,79122339,93238774,102184659,116246922,122017328,122017329,122017327,122017326,135945499,149169975,161456781,172633345,172633346,174693034,163875208,257511434,125950353,258121032,84263155,70711806,57994995,257062622,256516048,21038474,15741251,15741252,15566103,10766703,7113736,4478915,4478914,4479459,4479222,4479221,2945092,1707964,1707966,1559114,1559111,2691332,4479389,5396736,5396737,8361138,12373349,17542435,23889145,31385643,40068179,50089452,61569508,74346421,87948651,101921076,260721783,143191328,272901541,263243817,195216392,264197246,200876482,193790985,185527782,176058746,176058745,262201114,192964229,192964230,273151826,164159655,152274388,139542625,139542626,126166776,112306005,98323090,84413425,84413426,86920311,73310119,60566912,49167623,39241793,30645390,30645391,39241795,49167621,41097480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9334665, s2 = 14163225, dlinesl.size( ) = 2 s1 = 9334665, s2 = 14163225, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9334665, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 7951909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1125597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6725525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6725525, s2 = 5927786, int(edited[s2]) = 0 s1 = 6725525, s2 = 5927786, d1 = 83, d2 = 36 Dl.O(d1) = 257756142,42065799,50261856,40242518,31556490,31556483,268294280,255638823,18498208,25030527,32716634,41622313,51924858,258997541 Dl.O(d2) = 238436217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6725525, s2 = 5927786, dlinesl.size( ) = 16 s1 = 8610162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9348660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9348660, s2 = 1315735, int(edited[s2]) = 0 s1 = 9348660, s2 = 1315735, d1 = 0, d2 = 6 Dl.O(d1) = 24204971,23542944,17234420,13757119,9426987,9426984,13757115,19252852,17234560,12115642,8989583,8989582,5869247,3664780,2193371,1273771,1273772,2193373,3664787,3183343,3183342,3664731,5869159,8989515,13187255,18558505,15277868,15277867,17234594,12115683,8146308,8146309,9194681,9194680,13446043,17234585,18558494,13187240,13187239,13187440,9192874,6018356,6018355,9192871,12115501,8146179,8146180,8146339,5869141,5869142,8989488,9194187,9194186,9194327,9194326,10572352,255027173,10572357,15308891,18866998,18867150,267931576,9193202,9195280,9194564,6019433,6019432,9194562,13445914,13446093,18869646,25469760,33216467,25471024,18870671,255665499,13443838,9193074 Dl.O(d2) = 6018448,254650785,13443763,18866922,254922569,9194288,13445619,255665565,18867407,18867405,18866917,18866918,25467122,33214512,33218025,33218024,33214416,33214415,33143766,33143767,255741125,14381445,14381446,18814461,13403562,255258831,18814041,18814042,13403267,9163511,5997459,5997461,5997586,254648551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9348660, s2 = 1315735, dlinesl.size( ) = 2 s1 = 9348660, s2 = 1315735, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9348660, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1299709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1661312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8433522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8214816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1663372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1663372, s2 = 12835924, int(edited[s2]) = 0 s1 = 1663372, s2 = 12835924, d1 = 2, d2 = 0 Dl.O(d1) = 42163873 Dl.O(d2) = 33203873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1663372, s2 = 12835924, dlinesl.size( ) = 2 s1 = 1663372, s2 = 12835924, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1663372, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 9512169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9512169, s2 = 14076603, int(edited[s2]) = 0 s1 = 9512169, s2 = 14076603, d1 = 26, d2 = 4 Dl.O(d1) = 86717121,73111320,73111319,259437809,114743315,128644425,259661654 Dl.O(d2) = 133823890,147069148,133823893,119956173,260871703,147069150,261974989,133823900,119956179,105720415,259032167,64396557,52522685,42164335,42164334,52522683,64396554,259032165,260276011,91496004,77564936,77564935,259032157,77564923,64396559,52522688,52522687,64396558,69028440,56494446,56494449,68960310,56437287,45361722,35778590,35778588,45361716,56437273,56752429,45602126,35945726,27642511,27642510,27661608,20601118,14775360,14775363,20601134,27661641,35976806,45647945,45288261,35730800,27504441,20499898,14707544,10113993,6641091,6641093,6663410,6611984,6611987,4182529,2500982,1443017 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13394713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9731978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6533625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6533625, s2 = 8158379, int(edited[s2]) = 0 s1 = 6533625, s2 = 8158379, d1 = 3, d2 = 5 Dl.O(d1) = 255665921 Dl.O(d2) = 47389913,256885772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6533625, s2 = 8158379, dlinesl.size( ) = 2 s1 = 6533625, s2 = 8158379, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6533625, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13297213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7617366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658668, s2 = 8049097, int(edited[s2]) = 0 s1 = 11658668, s2 = 8049097, d1 = 0, d2 = 7 Dl.O(d1) = 18830897 Dl.O(d2) = 33166725,42123206,33228111,256130229,18877672,13452605,13452606,18877675,25479576,33228114,42188500,52547427,64421567,77590351,91521356,99846586,85891911,72299181,64421565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658668, s2 = 8049097, dlinesl.size( ) = 2 s1 = 11658668, s2 = 8049097, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11658668, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 9342391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13657439, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8062940, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1665323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1665323, s2 = 11179643, int(edited[s2]) = 0 s1 = 1665323, s2 = 11179643, d1 = 11, d2 = 13 Dl.O(d1) = 42200936,257009452,25490431,18886598,255133826,9204100,7338515,4635463,4635465,7338524,7339275,4635882,2792515,2792517,4635889,7339291,8637460,8637459,12712542,11068421,11068418,254515736,4638242,2793805,2793804,4638239,7343439,11074793,11074790,11074791,15957515,22061941,270899990,258111463,85593618,259360237 Dl.O(d2) = 85593621,259360243,85593624,85593625,99540725,259360241,72006686,72006685,59270792,59270791,258735095,59270796,47875285,37957224,37957223,47875282,59270791,59270790,258111463,85593618,259360237,85593621,72006688,258735091,72006682,72006683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13581759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6918193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9660121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1322601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1451107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1323237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6824130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9737355, s2 = 11117475, int(edited[s2]) = 0 s1 = 9737355, s2 = 11117475, d1 = 39, d2 = 85 Dl.O(d1) = 31255803,23771293,17442792,12295625,12295626,17442796,23771299,31255806,35306393,38129324,38129323,42290244,52676502,269999423,105893495,260879399,147169174,262479211,175014161,184614149,192996983 Dl.O(d2) = 259405583,86216396,86216397,72617937,59879594,48488127,38575055,30004467,22634732,16446964,16446965,22634735,30004469,38575057,48488130,258156499,86216399,84238937,70686454,57968526,46592195,46592196,47287381,37377754,36705352,36705351,31182038,23692346,23692347,31182039,39864351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9737355, s2 = 11117475, dlinesl.size( ) = 2 s1 = 9737355, s2 = 11117475, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9737355, Dl.E( ) = 88, 4.41e-05 seconds used appending s1 = 7923051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7923051, s2 = 1791111, int(edited[s2]) = 0 s1 = 7923051, s2 = 1791111, d1 = 1, d2 = 1 Dl.O(d1) = 14117174,18382544,13056961,8897051,8897050,13056960,18382542,24880689,32524191,41373409,41943566,33001649,25276668,18704154,13311033,9092092,5948147,3719798,2227436,1291890,1291891,2227441,3719803,5948155,9092102,13311035,12660054,8595771,5926571,4245714,4245715,6773696,5948205,5209222,5209219,8130770,12090617,17194440,23476823,256492481,49457583,60860583,58806393,47419113,256171330,28967995,21686052,15647017,15647018,14444643,9937092,6531245,4092361,3774478,2261431,1312455,1312459,2261448,3774521,6033523,9214940,8758584,8758588,12878466,15642445,10825245,10825250,13476495,13476499,11494908,8468992,5474265,3368619,3368617,5474259,4689224,4689227,3575405,3575409,5742025,4509265,2709575,2709580,2708518,2708522,2708599,2708600,2263120,2263124,2263126,2263131,2263046,2263045,3778136,6039295,7155826,7155827,10826585,15643915,21683200,17163645,12067316,10456025,6892238,6892239,4978382,3007331,1747097,993554,559399,559400,993558,1747103,3007348,4978418,7842751,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052871,268026755,8901535,5808613,254899947,18390906,23426581,267962008,23921157,23921158,18971867,18971865,25579973,31756155,31756156,38453428,46856912,40080278,31399388,23906821,17563063,12391933,8374266,5404552,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1316015,751003,751005,1316017,2268750,254446803,9239806,13504740,18940888,25553706,33315583,39377006,39377008,37126425,37126426,29475976,22139104,22139105,29475978,22139124,22139087,22139088,22139171,22139172,29476045,29475970,29475971,29652937,29475821,29475822,31697221,38038851,47857956,47952353,38238065,35210884,35210886,44591324,37456757,28917416,21642810,15610808,10800577,7136390,4492953,2699348,1563753,1563755,2699353,4492966,7136412,10390434,10390436,15066673,10800777,10800778,15611124,21643237,21803242,21803779,21803778,21803780,21803781,29101913,37650925,47075048,47075049,58451997,259305933,112667470,118981278,104789766,90618291,76752154,63659631,258994393,80283675,257882793,43850579,256197527,19786308,268042575,9743186,9747990,14179768,19796114,26602504,26602501,19796112,19796113,21305589,15336236,15336237,15821662,21901109,29215336,255447486,49929432,39910685,31234923,23751739,23751740,23752079,23752080,31233669,23750347,17424753,12281508,12281505,14936724,14936726,20835466,22821225,16601353,16601350,11732967,11732968,16582660,11562938,255113787,11842294,7914240,7914239,11842293,12930432,8796294,5729655,3567466,3567465,5729651,8796284,12930418,15235001,10509746,10509745,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939275,4878104,4877602,2939013,1704287,1704288,2939015,4877608,7706945,11578583,16601643,22821602,30213637,256984117,60113676,72850373,86445379,259916673,84601908,258046161,46955173,37074996,28571871,21343759,21343760,28571873,29903564,34569955,28073599,28073598,36541223,46402466,57753355,70448437,83976371,97838362,111763993,125572950,260293636,107889885,258424168,257908966,43846081,43846082,257882415,55323202,55323201,67663367,67663366,70515687,70515688,84050909,259759495,97921584,84050907,84003873 Dl.O(d2) = 14117174,18382544,13056961,8897051,8897050,13056960,18382542,24880689,32524191,41373409,41943566,33001649,25276668,18704154,13311033,9092092,5948147,3719798,2227436,1291890,1291891,2227441,3719803,5948155,9092102,13311035,12660054,8595771,5926571,4245714,4245715,6773696,5948205,5209222,5209219,8130770,12090617,17194440,23476823,256492481,49457583,60860583,58806393,47419113,256171330,28967995,21686052,15647017,15647018,14444643,9937092,6531245,4092361,3774478,2261431,1312455,1312459,2261448,3774521,6033523,9214940,8758584,8758588,12878466,15642445,10825245,10825250,13476495,13476499,11494908,8468992,5474265,3368619,3368617,5474259,4689224,4689227,3575405,3575409,5742025,4509265,2709575,2709580,2708518,2708522,2708599,2708600,2263120,2263124,2263126,2263131,2263046,2263045,3778136,6039295,7155826,7155827,10826585,15643915,21683200,17163645,12067316,10456025,6892238,6892239,4978382,3007331,1747097,993554,559399,559400,993558,1747103,3007348,4978418,7842751,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052871,268026755,8901535,5808613,254899947,18390906,23426581,267962008,23921157,23921158,18971867,18971865,25579973,31756155,31756156,38453428,46856912,40080278,31399388,23906821,17563063,12391933,8374266,5404552,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1316015,751003,751005,1316017,2268750,254446803,9239806,13504740,18940888,25553706,33315583,39377006,39377008,37126425,37126426,29475976,22139104,22139105,29475978,22139124,22139087,22139088,22139171,22139172,29476045,29475970,29475971,29652937,29475821,29475822,31697221,38038851,47857956,47952353,38238065,35210884,35210886,44591324,37456757,28917416,21642810,15610808,10800577,7136390,4492953,2699348,1563753,1563755,2699353,4492966,7136412,10390434,10390436,15066673,10800777,10800778,15611124,21643237,21803242,21803779,21803778,21803780,21803781,29101913,37650925,47075048,47075049,58451997,259305933,112667470,118981278,104789766,90618291,76752154,63659631,258994393,80283675,257882793,43850579,256197527,19786308,268042575,9743186,9747990,14179768,19796114,26602504,26602501,19796112,19796113,21305589,15336236,15336237,15821662,21901109,29215336,255447486,49929432,39910685,31234923,23751739,23751740,23752079,23752080,31233669,23750347,17424753,12281508,12281505,14936724,14936726,20835466,22821225,16601353,16601350,11732967,11732968,16582660,11562938,255113787,11842294,7914240,7914239,11842293,12930432,8796294,5729655,3567466,3567465,5729651,8796284,12930418,15235001,10509746,10509745,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939275,4878104,4877602,2939013,1704287,1704288,2939015,4877608,7706945,11578583,16601643,22821602,30213637,256984117,60113676,72850373,86445379,259916673,84601908,258046161,46955173,37074996,28571871,21343759,21343760,28571873,29903564,34569955,28073599,28073598,36541223,46402466,57753355,70448437,83976371,97838362,111763993,125572950,260293636,107889885,258424168,257908966,43846081,43846082,257882415,55323202,55323201,67663367,67663366,70515687,70515688,84050909,259759495,97921584,84050907,84003873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7923051, s2 = 1791111, dlinesl.size( ) = 2 s1 = 7923051, s2 = 1791111, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7923051, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1324281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1669394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7973888, s2 = 10352330, int(edited[s2]) = 0 s1 = 7973888, s2 = 10352330, d1 = 6, d2 = 25 Dl.O(d1) = 255525896,10623410,7011347,6847414,6847412,10389646,15065894,20977344,23326917,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458 Dl.O(d2) = 16551841,11536648,11536650,16551848,22765296,19459293,13926037,13925791,9558446,9558445,13925785,19458934,25774971,25774974,22294487,16149525,15043154,15043157,19149324,25794740,29761560,22399649,22399650,20327686,20327687,27261843,33321098,25559197,18946489,13509888,13509887,18946488,25559194,33321095,42301762,269510627,77771879,91699339,105906594,114877137,112946210,98957142,85032254,71460396,58730675,47342789,37435461,28894358,256340467,47342791,58730679,52086803,255252702,50133377,40113288,31434510,254988394,268051644,31428714,31428715,39536580,37852674,37852675,255274322,23082488,16829887,11768996,11768997,8175581,5245159,3203659,1875992,1875990,3203693,5245222,8175692,12145950,17266403,23578091,17844744,17844743,22604103,16421125,16421121,22604095,17843422,17843423,24213711,31721035,26393277,19658965,14091376,254360428,6374845,9692105,8089369,5182691,3162047,3162046,5182684,8089358,8858919,5774256,3597351,3597353,2397260,2397262,4000179,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,7910930,11837009,16913771,11837087,11837086,16913848,23178715,23389991,23393032,17121270,12031862,12031861,17121269,19665663,18967112,13531577,9261708,9261707,13531575,16704212,16704211,22939742,17596555,17596554,23940825,31431925,257658611,74389116,74313135,61536161,50057446,40037901,31357967,23864102,17519918,12354577,8346968,5387387,3312821,3312823,5387391,8346971,12354579,17519923,17521035,23154603,23863562,17519468,12354221,8346992,7899861,5021182,5021181,7899859,11821535,16893298,17519931,12354583,8346974,8346973,12354119,8346665,5387213,5387214,8346667,255176005,12354236,8346735,5387254,3312736,1948902,1948901,3312734,5387250,8346725,12354214,17519458,12354533,12354532,17519862,17519920,17519921,12355560,12355561,17519607,12354358,8346823,254402875,3313027,5387755,5387672,3312978,1949022,1113415,624822,624821,1113412,1949015,3312963,5387645,8347407,12355134,12355079,8347355,5387611,5387610,5387616,8347363,8347366,12355085,17520033,12354704,8347067,5387444,3312852,1948964,1948963,3312848,5387442,8347059,12354694,12354823,12354654,12354655,12354683,12354423,12354422,8347425,8347426,8347094,5387458,5387459,5387763,8347593,8347177,8347176,8347579,12354352,12354759,12354665,8347026,8347025,12354440,12354448,12354449,255565703,17519748,17519750,17520099,12355074,8347347,5387606,5387464,3312861,1948969,1948971,3312866,5387472,8347115,8347301,5387585,5387538,3312899,1948984,1113402,624815,624816,1113404,1948987,3312908,5387550,8347224,12354648,8347016,8347017,12354650,8347109,5387469,5387470,8347110,8347502,5387711,3313005,1949043,1949042,3313001,5387544,8347162,8347161,8347325,12355049,255565781,23864265,17520134,12354796,12354798,13360865,13360866,18763047,23864338,17520194,12354837,8347165,8347164,9131149,11292495,11292496,15093921,10410182,6862180,254716669,15093916,17520515,12355092,12355091,17520512,23864759,255476558,29768351,31358884,40038871,48250054,38339370,38339371,40037708,31358957,23864995,23864994,29891273,31359001,38448060,48250031,40037731,31357820,23863957,17519780,17519779,17519785,23863961,31357826,40037735,46826016,36948102,28448097,28448098,31358813,40038134,40038131,40038874,40037679,31357780,23863922,17519742,12354434,12354433,17519739,23863917,255916626,38339442,255728466,58193023,257287990,36933789,36933790,38339400,269780650,40038947,31358967,23865003,23865004,31358970,40038954,50057215,40037653,40037651,50057212,50057239,50058205,40038818,40038816,37631097,37631099,36949032,36949031,38339404,38339403,48250081,58192203,58192202,70904871,71968524,61537235,61537236,58192124,50057661,50057659,58370517,52687210,52687209,58191872,58191873,53181501,42732322,37911176,29342087,29342086,37911171,47832938,59230685,50057747,50057746,58871199,58871198,50057709,40038163,257069773,42732314,46826235,36948313,28448262,28448263,31358204,31358203,39064909,46826366,47832907,46826250,36948331,28448271,28448270,36948326,33702538,25896579,25896576,28448358,28448357,34630255,28448394,21221945,15252532,15252534,21221953,17495476,17495477,23834411,31325075,37650831,33702668,33702667,40038171,50057716,269873419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7973888, s2 = 10352330, dlinesl.size( ) = 2 s1 = 7973888, s2 = 10352330, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7973888, Dl.E( ) = 26, 1.41e-05 seconds used appending s1 = 11657166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10298676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10298676, s2 = 10149526, int(edited[s2]) = 0 s1 = 10298676, s2 = 10149526, d1 = 14, d2 = 52 Dl.O(d1) = 28755221 Dl.O(d2) = 38882548,38366652,30753032,30753031,39244531,39285269,267836732,28588143,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676498,16718341,17009397,17009396,17009359,16261099,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17102790,17008101,17008103,22848065,16624124,16624125,22848070,29379194,30687922,23351839,23351837,28588261,30655399,23234182,23234184,22427792,22427794,22378080,16221807,16221809,17091269,16286860,11329273,7526080,7526081,11329275,8065606,8065605,254376976,15572016,17067739,11978178,8025529,5114653,5114652,7935177,5045791,5045790,7935175,11871325,11907909,16993431,17243427,16285322,11326882,11007680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10298676, s2 = 10149526, dlinesl.size( ) = 24 s1 = 9444556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321673, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1325468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1670239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6730037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1610904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6676027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6676027, s2 = 9447629, int(edited[s2]) = 0 s1 = 6676027, s2 = 9447629, d1 = 12, d2 = 29 Dl.O(d1) = 257211227,33347418,25587272,18978505 Dl.O(d2) = 117583601,103453280,99596422,270835034,59324750,257503088,38019013,257504729,72059194,85646419,99596420,113611618,127485801,140844362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6676027, s2 = 9447629, dlinesl.size( ) = 2 s1 = 6676027, s2 = 9447629, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6676027, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 14163816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163816, s2 = 8026078, int(edited[s2]) = 0 s1 = 14163816, s2 = 8026078, d1 = 10, d2 = 19 Dl.O(d1) = 257499305 Dl.O(d2) = 37208614,37088449,28583611,21353723,15377163,10625988,7013411,4409502,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,659976,1175614,2049836,3457543,5573648,8578082,8578003,5573597,5573598,8578006,12633657,17840687,22363707,19820116,14197469,9759689,6417025,4025789,254466019,254645635,5965940,6374790,3999935,3999936,6374793,6417393,9760368,14198534,255727889,24216511,24216510,26399449,23625287,17309744,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,14212929,11547124,11547122,16565212,22780687,20122140,20122139,27014768,22612665,16428290,16428289,19661837,19661838,267831698,29953215,29953214,30821457,30821456,28910584,21635992,21635994,19655265,17732881,16644865,11612790,11612787,16644859,22584720,24821643,24106292,17747502,12557535,12557536,16652906,19655253,14094909,14094908,14095814,14095816,19664641,26398583,30084834,23180118,22966942,16731122,16731120,22966939,30368377,38954515,269361825,73001661,86599076,100560541,100560542,86599077,73001655,60266554,48874135,48874136,60266555,73001657,86599075,74905563,62102149,257119650,31860877,24338737,255302254,40562573,50603596,254310038,25632488,19016335,13572144,9292458,6087337,6087339,3809513,2281954,2281958,1365381,777733,441323,441327,777649,777747,441325,441327,777649,777747,441325,441327,777649,777747,441325,441327,777649,777747,441325,441327,777649,777747,777744,1365355,2357118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163816, s2 = 8026078, dlinesl.size( ) = 2 s1 = 14163816, s2 = 8026078, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163816, Dl.E( ) = 38, 2.5e-05 seconds used appending s1 = 6672509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1672261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6681144, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6577234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6577234, s2 = 1327999, int(edited[s2]) = 0 s1 = 6577234, s2 = 1327999, d1 = 5, d2 = 4 Dl.O(d1) = 256151636 Dl.O(d2) = 33377451,33377452,257804781,274046241,265645649,274663280,274510436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6577234, s2 = 1327999, dlinesl.size( ) = 12 s1 = 9369908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9096097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1040291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1674613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9711954, s2 = 15989446, int(edited[s2]) = 0 s1 = 9711954, s2 = 15989446, d1 = 22, d2 = 21 Dl.O(d1) = 263147418,188546122,179531506,179531505,263147416,179531506,272556088,260590864,271801220,157856543,169282731,169282726,169282727,273054688,152878546,261546952,126838578,112984448,98994513,259151052,71496270,71496271,71496273,269189502,37472122,28930805,28930804,28930811,28930810,37367768,37367767,47277634,58669201,71403719,84978013,268824542,92528387,258065028,65203643,53217686,42768005,42768001,33738224,28778859,21515977,21515978,25446700,18849546,13429956,13429955,18849542 Dl.O(d2) = 258195162,128751986,142108677,271829798,114853908,114853909,259442588,116378639,102288980,88295770,74670338,61878296,50388602,40353810,31659029,24148747,24148746,25497999,33248909,42210848,52571506,64446475,77614423,91543346,105765029,119997674,133862705,147105313,155769337,143217797,129888415,115991180,101947405,87975318,258266480,257657524,40097250,31417287,23927298,23927297,254854662,50117691,59314815,47921550,38006120,38006121,37971609,29746638,22387252,16228830,16228829,22387226,255570262,22387125,22387126,22657495,29746604,29746479,29746477,38315112,48224896,59611542,268959260,52849046,42444955,33452031,33452030,38605790,48520883,255180348,43968947,34693717,26699038,19878352,19878353,14242583,9790818,6436666,4037716,4037717,5306339,3256569,3256568,5306338,8234365,12202886,17327906,15211071,10492624,6919015,4346698,4346699,6919017,10492625,15211073,21168886,28387234,255441872,58130046,70844421,84401684,98311074,112293566,126153911,139529523,152261365,164147349,174965925,167413574,155783792,143233368,129903923,116005624,101960389,87987071,74384026,61607299,50127253,40107175,31427543,23936622,23936623,29102737,32837237,33217229,25470501,18870260,13446535,9195038,6019752,6019751,254922641,9263249,9263248,13533279,18968642,268301568,33559221,39791458,31111009,23624624,18993854,18993853,25606326,31758760,24246960,24246959,29320520,29320518,26151596,26151597,28283630,28283631,36779768,254469510,21882245,15806349,15806347,21068064,16409753,11425648,8350216,5389558,3314110,1949611,1949610,3314099,5389536,8350191,7172295,4517884,4517886,7172303,10849004,10821781,7151861,4503791,4503793,4503816,2706501,2706502,4503826,7151929,10821902,15638601,21677542,19496112,19496110,26205912,33662005,26205677,19495902,254161832,6289745,9581841,13954905,13408741,13408742,15688379,21733690,15685430,10858654,7178950,4522326,2718179,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638560,16473788,11478098,11477680,10867820,10867821,15699075,21752370,22669448,22669449,28313579,28313578,36810181,37576206,37544370,28999031,28999032,21741966,21741967,22668952,30044452,37564524,29017882,21729476,15682595,15682594,21729470,23868433,23868432,31362697,40042935,33153388,25412262,25412263,33153393,37590986,37591034,37591033,37569704,29037757,21745615,15694204,15694203,16606357,16606354,22827354,30219588,38803343,38887578,38253153,29687992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9711954, s2 = 15989446, dlinesl.size( ) = 2 s1 = 9711954, s2 = 15989446, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9711954, Dl.E( ) = 26, 2.6e-05 seconds used appending s1 = 14163734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8273321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8273321, s2 = 14163241, int(edited[s2]) = 0 s1 = 8273321, s2 = 14163241, d1 = 10, d2 = 13 Dl.O(d1) = 6266985,254671279,13915879,19446539,26143748,33983563,43041095,53519496,65543614,78878742,92990418,106162907,91964780,259092320,64840404,52915676,42506268,33507369,25728958,19097216,13634558,9336321,6115439,3826298,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729094,28680172,28680171,37203478,40942983,51085574,257813018,51085552,257221886,268499754,19462146,256175655,33569314,42586311,256669172,19138150,19138149,256152179,42586552,53026347,53026085,42586308,33569313,25779200,19138041,13665583,13665582,19138036,25779196,25779249,19138062,19138061,19462142,13928007,9559815,9559813,13928001,19462138,26162288,34003972,40943023,40943024,51085611,259580169,258428966,53026254,65000943,65565726,74030911,260061198,258428962,53540959,258462969,59316311 Dl.O(d2) = 60441591,60441592,57732098,46382011,36522461,28057228,28057227,36522458,40943035,51085630,59964736,51085634,51085635,62716962,57732090,57732091,65256705,53266972,53266973,65256685,65256748,57732070,57732072,59964554,48572520,38656746,30079785,22698440,16495476,16495477,22698442,30079788,38656750,48572523,42814064,42814066,40209169,40209168,50230042,48572675,48572593,38656796,38656795,48572589,40869203,40869201,51004129,62626882,65565863,59964630,53267063,53267062,42897750,40943051,32164091,24578872,24578871,32164086,40943042,48572573,48572574,59964601,53266971,42814029,33781472,33781474,42814031,53266980,62846816,62846817,59964747,48572692,38656848,30079838,22698469,16495496,11492897,11492896,16495491,22698463,25971166,19304329,19304328,25971162,33781492,42814076,53267072,59964715,59964714,63661254,59964613,48572599,48572600,59964625,72702085,86299293,89323466,78547076,65256781,53267040,42814059,42814060,53267045,65256782,65256803,53267119,42814094,42814095,53267123,59964784,59964785,65256718,53266983,53266982,65256716,78547035,65256827,65256828,72702131,59964738,48572684,48572679,48572651,38656825,30079823,22698458,22698457,30079817,38656821,48572640,53267019,42814052,42814054,53267024,65256771,72702080,86299291,86299304,100261611,86299361,86299359,86299213,86299214,100261554,90619875,76753631,63661188,63661184,63661166,51865565,49932270,39914014,39914013,49932265,61410857,59964800,48572750,38656883,38656882,48572744,46906056,46906055,58271247,65256832,53267088,53267089,65256839,65256855,65256857,59964727,59964728,59964665,48572627,38656813,38656810,38656816,48572633,59964676,65256764,65256765,72702102,59964640,59964641,59964690,72702154,78547068,78547064,65256757,65256756,75663116,89426632,90619882,76753643,63661196,51865580,41575341,32679738,32679737,41575334,51865571,63661176,74189855,72702163,59964789,59964791,48572755,48572756,59964809,70985715,70985711,65256848,53267103,53267097,53267084,42814080,42814079,53267081,65256820,270558117,86299310,72702114,72702116,259410943,104791324,94380787,94380786,87241416,87241414,90619906,104791317,118982765,258994458,92940284,78833820,65502158,59115576,47718308,47718309,59115581,63661215,51865590,41575345,41575347,41575361,41575359,51865610,63661248,57616677,46272135,36419555,27961438,20799512,14906104,14906105,20799514,27961440,36419558,269026565,62614309,75551975,89307557,103396863,117521611,131317370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8273321, s2 = 14163241, dlinesl.size( ) = 2 s1 = 8273321, s2 = 14163241, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8273321, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 14164300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13418395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8243372, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1678576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14029515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7949233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7949233, s2 = 7978337, int(edited[s2]) = 0 s1 = 7949233, s2 = 7978337, d1 = 18, d2 = 14 Dl.O(d1) = 9320123,9345197,9345195,13566310,14031453,14031456,13035718,13035716,13653148,19122574,25602164,18989926,18989925,25602162,33366664,256660601,25735684,25735674,19102932,19102933,19101700,13637968,255683535 Dl.O(d2) = 1342032,766329,766330,1342004,2313346,2313111,2313114,3861049,6170398,9417481,6293172,3941726,3941725,6293164,9587130,13748465,19239079,25899673,256139838,260911117,126467833,259992066,58396052,59466183,258125597,259992065,100236992,271348918,86271903,258160402,16478369,11481177,7636123,254789865,16478365,255020596,4726534,2847776,1652296,1652298,2847782,4726552,7478796,11265880,15223175,257421561,259027916 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1334928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1680089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6579249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6579249, s2 = 11486362, int(edited[s2]) = 0 s1 = 6579249, s2 = 11486362, d1 = 33, d2 = 32 Dl.O(d1) = 256173038 Dl.O(d2) = 199431223,205650838,210796153,205820256,199645744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6579249, s2 = 11486362, dlinesl.size( ) = 8 s1 = 9704792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704792, s2 = 13037716, int(edited[s2]) = 0 s1 = 9704792, s2 = 13037716, d1 = 0, d2 = 0 Dl.O(d1) = 256470328,32193420,26928505,20042954,254910294,6976796,6930358,6930359,10509661,15234878,21199610,28422478,33214999,26686980,19868031,15248613,15248614,21217096,28442896,30902713,39510848,31149813,28965021,21683075,21683074,28965019,256604356,59504264,65551340,53526479,43046803,33988154,33988155,43046805,44387045,257304569,67578862,61530968,50051566,50051567,61530971,53526389,53526390,65551246,53526379,43046662,33988006,26147167,19449113,13917884,13917885,19449114,26147169,31671322,24161594,17794050,17794049,24161592,26147381,19449247,19449246,26147379,25050936,18514263,18514262,18307160,18307159,24789911,32415391,32335052,24718903,18245774,12943083,8805748,8805747,12943081,18245771,21680623,21680622,28962751,268926683,47413661,58800552,71529449,85100655,79359208,65992066,53923045,53923044,258482519,93495861,260362533,136346297,136346298,149613695,161912446,173065368,263783345,191584197,199005816,264113870,214720823,263007686,210476833,205282130,261526672,191584205,182950291,173065389,161912477,149613728,136346325,122361238,257270136,93495856,89153066,89153067,103242903,117372140,131174708,120839794,106591467,92293160,78266000,64992440,53017377,42577182,33560515,254594184,13660043,9354093,6126997,3833479,2296805,2296806,3833388,3833392,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296914,3833411,3833414,6126857,9353889,13659766,255685661,25770751,33560168,42576859,53017056,64992134,78265698,259691401 Dl.O(d2) = 256470328,32193420,26928505,20042954,254910294,6976796,6930358,6930359,10509661,15234878,21199610,28422478,33214999,26686980,19868031,15248613,15248614,21217096,28442896,30902713,39510848,31149813,28965021,21683075,21683074,28965019,256604356,59504264,65551340,53526479,43046803,33988154,33988155,43046805,44387045,257304569,67578862,61530968,50051566,50051567,61530971,53526389,53526390,65551246,53526379,43046662,33988006,26147167,19449113,13917884,13917885,19449114,26147169,31671322,24161594,17794050,17794049,24161592,26147381,19449247,19449246,26147379,25050936,18514263,18514262,18307160,18307159,24789911,32415391,32335052,24718903,18245774,12943083,8805748,8805747,12943081,18245771,21680623,21680622,28962751,268926683,47413661,58800552,71529449,85100655,79359208,65992066,53923045,53923044,258482519,93495861,260362533,136346297,136346298,149613695,161912446,173065368,263783345,191584197,199005816,264113870,214720823,263007686,210476833,205282130,261526672,191584205,182950291,173065389,161912477,149613728,136346325,122361238,257270136,93495856,89153066,89153067,103242903,117372140,131174708,120839794,106591467,92293160,78266000,64992440,53017377,42577182,33560515,254594184,13660043,9354093,6126997,3833479,2296805,2296806,3833388,3833392,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296914,3833411,3833414,6126857,9353889,13659766,255685661,25770751,33560168,42576859,53017056,64992134,78265698,259691401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9704792, s2 = 13037716, dlinesl.size( ) = 2 s1 = 9704792, s2 = 13037716, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9704792, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9682792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6462289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13320199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13320199, s2 = 13225364, int(edited[s2]) = 0 s1 = 13320199, s2 = 13225364, d1 = 20, d2 = 25 Dl.O(d1) = 268652758,21268854,15307397,10571046,6972554,4380227,2623283,1514045,858195,858190,1514031,2623059,4379828,267962017,10563628,10573144,10573145,15299736,15309758,10573169,10573167,15309755,15473681,10700132 Dl.O(d2) = 33585204,25789617,19144703,255410452,8590540,8590536,12652619,17866996,12656573,10960702,10960701,12653062,8590786,5582137,5582135,8590777,12653037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13320199, s2 = 13225364, dlinesl.size( ) = 2 s1 = 13320199, s2 = 13225364, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13320199, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 1335815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13338245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6577460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9413020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9413020, s2 = 11261808, int(edited[s2]) = 0 s1 = 9413020, s2 = 11261808, d1 = 76, d2 = 88 Dl.O(d1) = 49040817,39111095,256126242 Dl.O(d2) = 260864604,142197869,259652218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9413020, s2 = 11261808, dlinesl.size( ) = 20 s1 = 13372877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13372877, s2 = 1781927, int(edited[s2]) = 0 s1 = 13372877, s2 = 1781927, d1 = 22, d2 = 1 Dl.O(d1) = 102347680,102347691,92403406,78367754,78367753,78367683,65085534,255675418,255675420,65085535,78367685,65085613,53099678,53099677,65085611,256656872,65085544,65085551,65085550,78367702,78367751,78367752,88351521,270917493,65085552,256656870,53099628,42648900,33621287,25820844,25820845,33621288,42648902,53099632,53099674,53099675,65085538,65085539,78367687,78367723,78367712,65085559,65085560,53099655,42648913,33621294,33621293,42648911,53099652,257213162,106709911,120964027,120964009,120964005,106709897,106709896,120964012,106709895,106709894,120964010,134761203,139899074,126535976,112673520,98679156,98679157,106709888,106709887,258420566,80341840,66915557,66915556 Dl.O(d2) = 46914209,258042223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13372877, s2 = 1781927, dlinesl.size( ) = 24 s1 = 10201888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13372917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13204971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6677988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345794, s2 = 10820283, int(edited[s2]) = 0 s1 = 10345794, s2 = 10820283, d1 = 84, d2 = 58 Dl.O(d1) = 5559197,3443915,2038891,2038893,3443917,5559200,3456382,3456384,3378145,2018754,1163341,652826,652823,1163331,653460,362325,254107705,1164428,653878,653877,642289,356488,195331,106668,106669,195250,106629,106627,106649,106651,107937,59274,33319,33320,33224,19052,19051,33217,59053,107436,196940,359635,254138165,2019406,3419698,5491539,3381986,1991527,254136939,638492,1138031,254275419 Dl.O(d2) = 256017781,268996299,256547861 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6722559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6722559, s2 = 13320226, int(edited[s2]) = 0 s1 = 6722559, s2 = 13320226, d1 = 55, d2 = 60 Dl.O(d1) = 257717292,31066865,31066864,38086634,46784396,38222566,29656598,29522072,22179419,16053345,11146558,7393204,4670761,2814071,2814072,4670765,7393212,11146573,16053372,22179466,29522134,38086674,29578296,22230708,22230709,29578300,38144539,48057703,59137207,59519841,49763500,39744947,31066844,31066843,38837687,48757604,60151785,72887902,259252574,61242387,61242386,65112886,59387362,59387361,59519773,59519772,72253735,72253744,59519791,48132542,38222484,29656536,22304779,16158845,16158846,22304784,29656544,29521908,22179303,16053284,16053285,22179305,29521911,38086379,38086656,256940748,42725337 Dl.O(d2) = 23740076,254770130,24100508,267996098,40288235,32298096,32298097,29698216,29698215,38264071,48173581,59560131,257549664,41108633,32298185,32298186,41108548,32298061,32298062,24687265,18220139,12923244,8791248,5726196,5726198,8791253,12923257,18220159,24687316,30432220,30432219,25424167,18831030,13416696,9173404,6004140,3754901,2248730,1304481,744358,422796,238561,238559,422785,744340,822971,744037,422617,422616,744031,744109,422657,238496,131766,131765,71696,38880,21428,12004,6655,6653,11995,21409,38839,71618,131793,238539,422735,744257,1109474,1942274,1942497,1942498,3302509,1942942,1942944,254185319,254105813,346287,623065,1109718,1109719,1109708,1109707,1942603,1942686,1942687,1942614,1942613,3302644,5371801,3755551,2249207,1304801,1304802,2249209,1305341,1305342,1306114,2250908,3757722,2257789,1310418,748106,425164,254082687,72200,254071329,21579,23776,42933,78616,79143,79142,143910,254096123,812180,254216453,4129713,254697269,255342819,256238235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6722559, s2 = 13320226, dlinesl.size( ) = 14 s1 = 7914919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 954807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 383726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 383726, s2 = 1983135, int(edited[s2]) = 0 s1 = 383726, s2 = 1983135, d1 = 26, d2 = 15 Dl.O(d1) = 9681852,6367939,3995707,2394522,2394523,3995737,6367985,6228877,6228873,9496969,9496968,13760262,255694067 Dl.O(d2) = 51337351 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1687569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1687569, s2 = 6536113, int(edited[s2]) = 0 s1 = 1687569, s2 = 6536113, d1 = 7, d2 = 7 Dl.O(d1) = 42753773,256678278,255694066,12967950,12967952,12944570,8823012,5780158,3602083,3602088,5780121,8866396,13021854,13317332,13317331 Dl.O(d2) = 42753773,256678278,255694066,12967950,12967952,12944570,8823012,5780158,3602083,3602088,5780121,8866396,13021854,13317332,13317331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1687569, s2 = 6536113, dlinesl.size( ) = 2 s1 = 1687569, s2 = 6536113, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1687569, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 253614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2045374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2045374, s2 = 10151881, int(edited[s2]) = 0 s1 = 2045374, s2 = 10151881, d1 = 27, d2 = 36 Dl.O(d1) = 53206254 Dl.O(d2) = 16738745,255509633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2045374, s2 = 10151881, dlinesl.size( ) = 20 s1 = 8409072, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9364903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1688698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6536258, s2 = 7641864, int(edited[s2]) = 0 s1 = 6536258, s2 = 7641864, d1 = 11, d2 = 13 Dl.O(d1) = 255695317 Dl.O(d2) = 270556905,260914575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6536258, s2 = 7641864, dlinesl.size( ) = 14 s1 = 1689063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7879345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7879345, s2 = 11444812, int(edited[s2]) = 0 s1 = 7879345, s2 = 11444812, d1 = 75, d2 = 33 Dl.O(d1) = 6006665,9177353,13422815,12323907,8324623,8324622,12323918,8480942,6005410,6005408,9175375,12325049,8325533,8325534,12325051,17480954,18326457,18326458,21284838,15321075,10582154,10582153,15321071,13412854,9170809,6002433,3753776,2247934,2247935,3753779,2251091,2251090,3758017,254113284,12518302,8480878,5482124,3756667,2250039,2250040,267738842,6008529,6008542,9180160,8480787,6005275,6005277,9175181,9180145,12518401,8480952,5482170,5482171,8480955,8324925,5372511,3303347,1943237,1943238,3303353,5372519,8324945,12324224,13419299,13419223,9175064,254146832,17593614,12418677,8393743,8393744,12418679,17110256,17110254,23380417,30808776,39413881,42790053,33759086 Dl.O(d2) = 263171883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7879345, s2 = 11444812, dlinesl.size( ) = 2 s1 = 7879345, s2 = 11444812, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7879345, Dl.E( ) = 90, 3.1e-05 seconds used appending s1 = 6450007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163336, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1690352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 597362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1345071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13240841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9123798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1691508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13359377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13359377, s2 = 6692618, int(edited[s2]) = 0 s1 = 13359377, s2 = 6692618, d1 = 63, d2 = 51 Dl.O(d1) = 18571454,257175145,36564285,36564286,33820195,32827550,32827549,33820136,42860016,42860015,42861115,33820015,33818419,33818418,41748169,33818900,26001739,19329102,19329103,26001746,33818789,33818790,26002359,26002360,28999280,26001798,26001795,19329679,19329680,256165957,19783737,19783736,19329694,19329691,26002548,26003210,26003209,26588585,19783741,14170398,9741628,9741627,14170394,19783734,26588579,33818929,33818930,42860195,42859768,42859767,33819445,26002228,26002227,33819442,33819455,26002251,19329478,19329479,26002253,33819458,26003333,26002468,26002469,268767519,26002066,19329330,13822222,13822223,19329332,26002068,26003124,25124755,25124754,26002092,26000964,19328523,19328524,26000967,26002254,26000680,19328312,19328311,19328490,13821654,9479211,9479212,13821657,19328499,26000933,26000998,26000996,26003406,269109219,33819401,26002183,19329417,19329419,18563315,13191259,13191260,18563317,25113495,32817060,31706001,24718079,18244918,18244919,24718081,32334272,32815849,31803668,24289123,24289125,31803671,25111978,18562316,18562314,25111975,32815099,33817683,42859145,33819359,33819357 Dl.O(d2) = 257427859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344241, s2 = 513147, int(edited[s2]) = 0 s1 = 10344241, s2 = 513147, d1 = 21, d2 = 23 Dl.O(d1) = 18535526,25078768,26391691,26391692,34268008,29271071,21948373,15858674,15858676,21948376,28101827,20925938,20925937,28101824,32753198,25061072,18522361,18522360,25061070,32753194,41664473,51067906,46632285,46632286,58007280,64245295,52389449,52389448,255805362,46310735,44458154,255662618,255014462,38326203,38326204,43915069,34641679,254651578,19806739,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,3770939,3770938,6027631,9206967,13463462,18892624,25498024,25308037,18732177,18732175,19412901,13888710,13888705,18732807,25282085,25282082,26109971,33944990,26109226,26109225,33944987,33942127,26111080,26111083,23816443,23816440,20921004,20921000,28095699,25898390,19237904,19237902,25898379,32690812,32690811,33946360,26110441,26110439,33936769,33036175,25309184,18733018,13335789,9111695,9111700,13335759,13335758,18732906,13335706,13335705,18732903,13894139,13894141,19420272,26113205,33949656,36735620,33940912,32896264,25186648,25186644,32896249,41819334,41819371,48990225,60387985,60006348,254869298,3668900,3668899,5876035,9000399,13202569,18578090,18578089,18578090,254612882,24081749,24088055,24088054,31587950,31587949,30237795,254608464,254608466,24133656,17769909,17769910,24133657,31640761,35128608,32311448,24697944,24697945,26445427,19706402,254166350,9720732,254529518,26445422,29665652,22313749,16168351,255464203,29665653,268499276,8849134,5767344,3592338,3592339,5767345,8849138,12997841,18310455,255714335,19595717,255714343,19595749,14040568,14040569,14040703,19595890,14040933,14040934,11653216,11653217,14040604,9653951,254462223,2387100,1381917,1381918,2387101,3982922,2387116,1381926,786180,445440,250677,250678,445443,786184,1381934,2387135,3982988,6348071,9653966,9653913,6348001,3982964,3982963,6348038,9654034,14040666,9654004,6348013,6348012,9654002,14040664,9654119,9654118,14040769,19595955,19596408,14041148,9654399,6348300,6348299,9654396,14041008,254955993,9654350,254675969,6348226,6348308,6348307,6347969,6347968,9653934,9654117,9654116,14040767,9654353,9654352,9654360,14041098,19596348,26322801,34195453,43293152,53817813,43292876,34195147,256704283,34194979,268321391,14040816,9654148,6348120,6348122,9654152,14040823,14040984,19596175,26322550,34195175,43292649,43292647,53817913,43293171,43293170,43292885,34195506,26322854,26322853,26322568,26322569,34195194,30196617,22805817,22805818,30196620,38781179,48703669,60099420,269878545,50251834,40231785,31545255,31545254,40231783,50251831,258276875,74553572,258263648,40269037,40269034,31582129,24076468,17719682,268445747,24076483,17719689,256540621,50290248,58216972,58216971,50274958,50274959,61755211,50274952,50274951,50274956,50274899,256539265,31566229,257086707,61755140,50274887,50274886,61755138,74539173,88154124,102145086,102145107,116206340,116206372,105750453,102145147,88154190,88154189,102145146,102145111,88154146,74539198,74539197,64423601,52549605,52549606,64423603,77592252,91523250,102145116,88154155,74539203,61755158,61755157,74539202,269043970,89932014,76126213,63120975,63120976,51424257,51424215,41227136,32402966,24779042,24779043,32402968,41227141,51424221,63120936,51424231,51424230,63120949,65132612,53147597,53147596,63120993,76126226,89931990,76126201,63120961,63120962,76126202,76126187,76126188,76126185,76126186,76126200,63120997,63120996,76126227,65132613,65132614,78414333,84976765,84976764,89931995,76126182,76126183,71402799,259319885,91910979,77987255,64793616,52874625,52874624,64793614,77987253,259054249,93377024,259054241,77987233,91910954,106105550,260814701,104061456,89931997,76126184,258974675,65886247,53818354,43293162,43293163,52874634,64793603,52874618,42470661,42470660,52874616,52874652,64793650,52874655,42470683,42470680,42470679,52874650,64793648,77987293,87615724,74011656,74011657,61230981,61230980,61230963,61230962,74011636,61230957,49751884,39733309,31055297,31055296,39733307,49751881,258237317,61230953,61230952,61230947,61230946,74011624,87615690,87615712,74011645,74011646,87615699,101582691,115622705,115622699,101582685,101582684,99337159,85393780,85393779,99337158,113339269,127197309,123663532,115622709,101582694,101582693,260905624,127197306,127197307,131352429,117552415,103423443,89330467,75572549,257710845,40874025,32102007,255610553,18095066,24526506,32102011,40874033,51009568,256696271,34062553,43139217,42501511,33502947,33502946,40837860,40837859,38127038,29561523,22216048,22216049,29561528,25724969,25724971,25006274,18479532,18479530,25006268,32685725,39017802,47389343,37481730,28939683,21660747,15624507,254742585,4497969,254507079,255047177,21660755,28939700,28093738,20919340,20919341,28093740,36564029,46428363,50967553,40837121,32068544,24497135,24497136,32068548,40837124,256370932,58830807,58776531,58776532,71505879,70483691,57783405,57783404,70483689,84017679,74959324,62149446,62149448,74959327,71505896,59125518,47727204,37805371,29241263,29241264,37805373,47727206,258099321,47727218,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Dl.O(d2) = 58879559,47499913,256353405,29048183,37595931,47499871,37595878,29048273,29048274,37595880,255859797,15700735,10868964,10868965,15700738,21754657,29048152,29048077,21754596,21754595,21754685,15700753,15700754,21754688,29048194,37595941,47499919,37595951,37595817,29048084,21754604,15700703,15700704,21754610,29048090,37595826,37595844,29048105,21754621,255859793,37595841,47499840,47499812,37595799,37595798,47499801,47499802,47499900,47499866,37595874,29048140,21754648,15700731,15700730,21754645,29048135,37595808,37595934,29048185,29048184,37595933,30332699,22931772,16697147,16697146,22931770,29048082,37595815,47499818,47499905,37595921,37595922,29048198,21754695,21754697,21754599,15700700,10868952,7186244,7186243,10868947,15700692,21754584,29048056,37595778,47499799,58879491,47499731,37595728,29048025,21754561,21754560,29048023,32028490,40785079,50901701,62502035,50901740,40785124,40785123,50901731,40785115,32028507,32028506,38638949,30064427,22686438,255929855,38638947,48553705,38639022,38639023,48553808,48553700,48553701,59945938,72684805,59945948,48553715,38638953,38638954,48553720,59945888,48553665,48553666,59945891,72684750,72684846,72684807,72684808,61612194,61612195,74389473,85851214,72260240,72260241,85851217,72684902,72684901,85851222,86283653,72684803,59945936,48553699,256428347,22686436,22686435,30064422,38638942,48553689,59945923,59946090,64323650,77487582,91418321,100247509,86285218,86283698,72684907,72684906,77487558,64323635,64323636,77487560,270336097,59945954,59945953,64323648,52456580,52456579,64323645,65874869,53806741,53806742,65874872,66932062,54675450,43932901,43932900,54675446,66932055,66937419,54681053,43938484,43938483,43938490,54681060,258507885,58879644,52456590,52456591,54681055,65874884,77487601,64323665,52456593,52456592,43932872,43932876,54675410,52456547,42104265,42104266,257785025,77487547,66932004,54675368,43932842,34659478,26667332,19851558,19851556,26667329,34659473,43932831,54675295,43932792,34659447,26667315,26667316,34659451,34659465,34659466,43932821,43281671,43281673,43932863,43932864,54675393,66932020,66931966,66931965,54675396,43932866,256721614,19851562,19851561,14222254,255316811,26667341,29048264,21754744,21754743,29048261,37596017,47499971,54675374,66932008,66931982,54675325,43932823,34659468,256239384,43281681,53255058,43281699,34184957,34184956,43281697,52456555,43015340,43015339,53493606,54675412,54675411,66932032,257905620,257285248,26667339,19851563,255313448,6428650,6428651,9777390,14222260,19851580,26667354,29048257,37596012,47499963,54675369,43932845,255205104,30654419,26313300,19588121,14034100,14034099,19588120,26313298,34184965,34184946,34184942,43281675,53806716,53806715,65874855,65874892,58624740,53806721,256653978,46289138,46289137,57633770,53092403,53092404,53092409,58624786,47232030,47232031,52176810,58624723,53348791,42884398,33840939,33840940,42884402,47231844,47231842,37322964,28786804,28786805,37323006,42884380,33840926,33840928,33840920,26021342,26021343,33840923,42884372,268750128,59506600,52176820,41852664,255600668,18644439,18644438,255600666,28786825,28786826,256874985,28786840,28786836,21522868,255841939,32923304,41852645,47232041,37323168,37323167,47232038,58624790,58624716,58624719,58624682,47231877,37322996,37322995,37322967,28786790,21522839,21522838,28786787,37322962,47231837,53348775,42884367,38861394,38861393,47231988,52566729,42206213,42206212,37322977,28786794,21522843,21522845,21522885,28786858,37323081,41852660,47231919,41852654,37323028,28786821,28786822,28786844,21522874,15510907,10727210,10727209,15510903,21522865,28786831,37323047,47231862,47231897,48118983,38208518,38208517,48118980,58624781,51694664,41444336,32577647,32577645,41444330,37323026,32923306,32923307,41852652,37323107,28786869,21522893,15510914,15510915,21522896,28786874,37323116,37323091,37323090,47231969,48118930,41444338,32577649,32577648,268495706,48118989,48118988,255672828,59506545,48118950,256392076,22290235,16146034,16146033,22290234,29641938,38208457,29642027,29642028,38208520,38208620,38208605,29642068,29642069,38208488,38208489,38208479,38208480,37323129,37323128,38208529,38208435,29641921,29641912,22290213,16146023,16146024,22290218,29641868,29641867,38208375,255895884,22290246,29641956,38208384,38145347,38145346,32635127,32635128,29641838,22290161,16145987,16145989,22290164,22290260,29641976,38208388,38208389,256204480,22290339,22290166,16145991,11217039,7442669,4702614,4702613,7442667,7442684,7442685,11217079,16146077,22290301,29642012,38208401,29641880,22290192,16146008,11217047,7442672,7442673,11217049,16146012,16146093,16146092,22290328,18446591,13103765,8930574,8930572,13103763,18446587,24965349,29578869,22290147,22290149,29578865,38145083,38145082,48058284,48058283,38334449,29763724,22401350,22401347,29763721,29438752,29438751,32042829,32042827,38208341,48118882,48244916,40802524,40802525,50921778,40811335,32051341,24485806,24485807,32042768,40802499,50921745,40802478,32042744,25457588,18858294,18858293,25457583,255607829,12805819,8707188,87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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344241, s2 = 513147, dlinesl.size( ) = 2 s1 = 10344241, s2 = 513147, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10344241, Dl.E( ) = 24, 3.79e-05 seconds used appending s1 = 9448946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1692653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1692653, s2 = 14099998, int(edited[s2]) = 0 s1 = 1692653, s2 = 14099998, d1 = 9, d2 = 11 Dl.O(d1) = 53353562,42888808,33844929,26024849,19348577,19348579 Dl.O(d2) = 137348418,123615889,109421770,259159242,67640533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1692653, s2 = 14099998, dlinesl.size( ) = 2 s1 = 1692653, s2 = 14099998, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1692653, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 1692753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1692753, s2 = 6455209, int(edited[s2]) = 0 s1 = 1692753, s2 = 6455209, d1 = 0, d2 = 3 Dl.O(d1) = 42890711 Dl.O(d2) = 254668391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1692753, s2 = 6455209, dlinesl.size( ) = 2 s1 = 1692753, s2 = 6455209, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1692753, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9696990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13345969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9355490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1347658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1694052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1694052, s2 = 8333576, int(edited[s2]) = 0 s1 = 1694052, s2 = 8333576, d1 = 6, d2 = 20 Dl.O(d1) = 42923942 Dl.O(d2) = 272036382,262567066,45226913,45226911,56256251 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1694060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13379595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8263820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1349697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13539413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13539413, s2 = 14163583, int(edited[s2]) = 0 s1 = 13539413, s2 = 14163583, d1 = 13, d2 = 11 Dl.O(d1) = 3010389,3010392,4983703,7851629,11759774,16816893,23065836,24805935,18317893,13002437,13002438,18317897,24805944,32439810,41277891,51490699,49000465,49000464,60399902,72591694,59854095,59854096,72591696,65637159,65637161,53595573,53595574,256257182,256257180,63685110,63685111,67304803,67304801,72774957,72774959,80419118,66986877,66986876,270636655,270260800,54513609,66754902,66398905,66398904,66538101,79945437,70432970,57738549,57738548,70432966,269653380,257371072,81287521,81287514,79367623,79367198,65998891,65998890,54151012,43549339,43549336,54151009,49502746,49502748,49614958,44284150,44284152,44093698,34769763,34769767,34872842,26848640,26480824,26480825,19946765,19946769,14285132,9815055,9815059,14285197,19740571,19740572,256715967,41255728,49599907,49599908,54247195,54247194,58582652,51484223,41272731,41272732,51484226,61060784,61060783,60991745,49557621,39592252,39592253,34757585,34757584,44076103,54878904,63171343,257150153,32430995,32430002,32430004,41260655,41273078,32436872,24804518,18317034,18317038,24804534,19956302,19956304,14301833,9824532,9824536,6455171,4046358,4046361,6449339,6449336,9815058,14285194,19740471,19740475,26503606,19736932,19736936,26503721,34430423,43613829,54250997,43986923,34706317,26708362,19885351,14247531,9793926,6438462,6438461,9793869,6439222,4039065,254467451,268044037,256207413,256254276,34767588,268056532,19904477,256732465,54896708,259146081,109043912,108876992,94600864,94600281,94540554,80754556,80754554,94601056,94601060,108813067,108813064,120506540,106289032,106289030,110099691,106318803,106318801,110906150,106522654,106522652,106565610,106565639,106565638,106284887,92058098,92058096,106284880,120502020,108165151,108165150,122537105,120782170,106535088,106535087,259195520,71240461,71240460,256773874,254992654,255774350,33952058,26115191,19421942,255704127 Dl.O(d2) = 53486981,65510364,78842645,92949263,107353987,121735273,123931322,109795495,109795494,123931320,137609224,150605272,159074291,261440086,121737425,107356296,92951593,78845006,65512685,257200412,43010997,43011011,257200410,65354148,58504187,47125719,37227870,37227871,37227719,37227717,37227736,37227737,37227884,32509836,24867655,24867656,21449216,21449217,28701500,21449326,15452195,10683937,10683936,15452191,21449320,23276207,21449416,15452255,10683981,7057806,4443306,4443307,7057809,10683986,15452263,21449425,21449236,15452140,15452141,21449240,28701529,37227648,28701539,21449248,15452146,10683912,10683913,15452148,21449223,15452131,15452130,21449219,28701505,21449273,20204712,20204711,256228253,21383504,15400615,15400614,21383502,28620332,37132358,33352915,25592429,18982926,18982927,25592433,25592436,25592327,18982841,13545908,13545909,18982843,25592333,33352800,28701717,21449398,15452249,10683975,7057803,7057802,10683971,15452243,12865229,12865228,18142527,24586952,32173012,40639042,31923220,24390324,17990404,12751215,8666341,8666340,12751213,12865204,12865203,18142492,24586915,21345637,15370617,15370616,18142513,12865221,8749307,5696465,3544386,3544385,5696464,8749303,12865212,18142500,24586922,32172954,24586894,18142481,18142482,24586898,24313177,24313179,24390328,17990409,255209254,31923225,40528629,40528630,40528593,31831208,31831209,40528594,34977657,34977658,40528624,31831245,24313213,24313214,24390338,17990415,17990414,21345634,28574104,21345643,21345644,24586947,254967652,9848128,9848127,14335687,20016347,26898295,25930896,25930897,19268900,13772991,9442295,9442294,13772989,19268895,18053080,18053081,24473648,24313190,17927844,12702774,8630285,8630284,12702771,17927839,24313184,31831207,40528591,33737782,25930900,19268886,13772979,9442286,6189828,3873806,3873805,6189825,9442281,13192504,8993447,5871643,3873811,3873809,6189832,9442292,13772984,19268890,25930906,28556409,21330856,255826811,32036622,32036621,40794296,32036625,24473651,24473650,30404373,37106147,28597998,21365130,15385908,15385909,21365132,26140843,21333243,21333244,22998126,16758676,16758675,22998125,25930877,19268865,19268866,21390958,15406406,15406407,21390960,28629445,28681391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13539413, s2 = 14163583, dlinesl.size( ) = 14 s1 = 10191932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8149065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8149065, s2 = 10358742, int(edited[s2]) = 0 s1 = 8149065, s2 = 10358742, d1 = 33, d2 = 61 Dl.O(d1) = 15359773,254500596,267962755,15359772,254661264,26626988,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396166,2412158,4025200,6415896,9757623,14194002,16481397,11483678,11483677,16481393,22678578,28795340,28795339,37332836,37039637,28540901,28540902,256551708,40469246,268449900 Dl.O(d2) = 225100897,265281949,274475548,265240272,222494817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8149065, s2 = 10358742, dlinesl.size( ) = 2 s1 = 8149065, s2 = 10358742, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8149065, Dl.E( ) = 62, 1.6e-05 seconds used appending s1 = 763895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9167666, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7587248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163242, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6537396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6537396, s2 = 8253617, int(edited[s2]) = 0 s1 = 6537396, s2 = 8253617, d1 = 19, d2 = 33 Dl.O(d1) = 255707153 Dl.O(d2) = 258150889,260017845,271838611,60694487,257600354,39365546,39365548,49293003,60694492,50013396,39995545,31318493,23828740,17490897,12332452,12332453,17490901,23828748,17763606,17763608,16354016,11380628,11380627,16354010,22526882,28299952,31318722,31318723,39995784,50013599,269872353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6537396, s2 = 8253617, dlinesl.size( ) = 18 s1 = 13496261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1699259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6537445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13782549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684246, s2 = 10353381, int(edited[s2]) = 0 s1 = 9684246, s2 = 10353381, d1 = 50, d2 = 48 Dl.O(d1) = 33223955,42183947,37983971,37983972,38593724,33223920,25475889,254970686,13449713,16002090,11109382,11109381,254469548,9868278,9867538,9867534,14360442,20046071,25146040,23307451,23307454,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,7063004,4446944,2671593,1547480,1547479,2671587,4446931,7062974,10691135,10913707,15759055,21826860,26951838,29133156,37694304,35018962,26937879,20051960,20051959,18590291,13210669,13210671,18590297,23479509,21824883,20055224,20055223,17196953,17196954,23479923,29425797,29425796,22095048,22095049,17818259,12615505,12615504,17818254,24186836,28385836,28385838,21788985,15730784,15730783,21788981,29086389,29493610,22154627,22154624,24712088,24712090,32327334,26900174,26899989,26899990,21824311,15757086,10912461,7216999,7217000,10912467,11179531,11179530,15758066,10913111,10913108,14359858,14359859,20045093,19510790,13965800,9589426,255708877 Dl.O(d2) = 49396293,39467869,30863874,30863873,23434330,17158686,12062077,8110322,5196054,3170321,254387531,6060447,6060449,9253597,13522024,255537045,12054213,8104434,5192622,3168556,1855155,1058879,595463,332011,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794862,5939710,9081670,10570023,10564091,8371139,5402592,5402593,8371141,9242980,6053616,3788165,3788167,6053624,9242999,6059642,6059644,7722310,11600546,8290763,8290762,8107428,7931375,5042286,3052997,3052999,5042296,4092948,2448761,1415869,805573,805568,1415893,2448813,4093041,254977675,255747353,255021707,6932259,4355448,3309773,1947166,1112330,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249291,6779080,6832234,6832235,10370041,14968482,13322814,9102793,8477836,8477835,10334194,6821033,6821032,4293406,4246480,2538883,2418371,1462892,827927,827926,1462882,1462914,2538923,4246547,6774820,10302683,14970443,20847163,14946758,13278493,9063040,5926038,3705481,3705482,5926041,9063046,6820140,4278313,2557963,2557964,3307788,3307787,3716095,4278288,2557950,1473345,1473343,2557939,4278262,6820065,268062837,6773978,6773979,10301691,14969501,12088653,12088654,15004880,10334956,10334958,13320252,13320251,10333038,6801028,6801024,10333028,7270245,4584844,4584843,6343384,6343387,9647660,10983511,9071172,9071171,10281488,10281489,10306038,13322887,14932139,10268972,6748172,6748170,6773016,10300597,7270158,4584784,2758369,2758368,4584795,7270170,10983413,10985407,7271611,4585714,3176960,1859736,1859735,3176957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684246, s2 = 10353381, dlinesl.size( ) = 20 s1 = 14164238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2344482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6565196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8630988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9497875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9497875, s2 = 8220968, int(edited[s2]) = 0 s1 = 9497875, s2 = 8220968, d1 = 14, d2 = 8 Dl.O(d1) = 170012629,180179190,173526390,162488841,150355471,137314305,123582887,109390889,95136448,81078160,67610345,55269093,256742257,26966397,26966396,30018154,268231155,11465259,7626099,254788931,16455294,22645866,30018157,38590765,48505723,59899491,57809260,256820083,28114587,257821525,42644164,33617181,25817206,19167557,13687347,13687348,19167559,256154743,34006228,43064113,43232298,34144614,26278392,255302493,9624357,6322937,6322936,9624355,255712357,256701533,53744523,65800702,65800701,258809782,18346564,254898717,5781275,3602838,3602841,5781218,3602803,2149990,1243296,1243295,2149986,3602801,5781214,3941431,2359402,1366093,778110,441556,441557,778115,1363225,776907,776905,1350040,770166,437668,437667,434308,245264,135481,73677,73679,135487,245283 Dl.O(d2) = 433912,762736,1335366,762953,762952,1335787,1344982,767601,436375,436377,767605,1344992,267813619,1347705,769044,769043,1347703,2324734,3882200,6202458,9459625,13795107,14941230,14611600,14611599,17335240,12209636,8240747,8240744,8336403,6766031,6766030,10292207,14959313,20860171,14958676,10291743,256272645,18845845,254921043,254444269,3758228,267931261,18845844,21199536,15234828,10509623,10509622,15234825,18199602,12908883,12908884,18199605,24658491,32258771,40447203,255200594,29365044,23342511,17076336,11989298,11989297,17076334,21710225,22561835,16382458,16382459,22561837,24658557,18199646,18199647,24658559,32258854,29920922,29920923,38480959,36383193,36383194,29919916,29919917,38479609,48382269,44785925,35361843,35361842,41052799,48382276,41135728,32321979,24707360,255225801,8799856,8799857,11401501,7575899,7575900,11401504,16382359,22561246,16382048,11401299,7575791,7575792,11401303,11401311,255478485,22561178,22561177,22561174,16382481,11401583,7575948,4791607,2888266,1676349,953740,537763,301471,301470,537759,953730,1676333,2888231,4791529,7575800,7575819,11401350,16382132,16381989,16381988,16382209,22561433,22561432,22561196,22561197,16382195,11401399,11401400,16382197,16382018,11401272,7575772,4791516,2888225,2888224,4791513,7575765,11401260,16382004,22561189,22560958,16381847,16381845,22560951,22561808,22561809,24672952,24672951,29920236,38093404,38093405,38093411,48004933,48383612,257139163,41089549,48383562,38480904,38480903,268713073,32281594,40027365,40027364,38481065,38479721,29920024,22561019,22561020,24830056,29920539,256416319,48383063,50040228,50040221,50040220,59765725,48382361,48382360,41089589,41089590,51266712,51266702,49814812,49814813,48383555,48382352,38634773,30060940,30060941,38634777,40027344,31347476,31347477,40027346,50046974,61300401,74081645,61525518,61525517,61525949,50046360,50046358,50047131,40027333,40027332,50047130,255949660,50046364,40026410,31346618,23853207,23853210,17511240,12348255,8342809,8342808,12348254,17511238,23853979,255565087,12348223,12348224,17511188,23853165,31346572,31346575,40026353,40026354,40026379,31346583,31346584,31347075,31347483,23853998,23853996,31347372,23853919,17511194,17511193,23853851,17511140,17511141,23853852,23853887,17511167,254850611,8342789,12348215,17511170,17511242,17511243,17511128,17511129,23853818,255122904,12347699,8342409,5384590,3311170,1947954,1112759,624415,347000,190275,103910,103911,190279,347010,624436,1112795,1948009,3311277,254594103,12347642,12346577,8341498,5384033,5384034,5384323,3311017,3311019,5384327,5384355,3311247,3311248,5384741,8341836,5384224,5384223,3311135,1947934,1947933,3311133,5384315,3311014,3311015,5384319,8341986,8341665,5384138,5384137,8341663,12346773,12346642,8341557,5384074,5384073,8341548,5384067,3310889,1947805,1112696,624383,624382,1112693,1947801,3310880,5384046,8341517,8341997,8341998,12346605,8341523,8341522,5384238,3310975,3310974,5384129,8341649,12346755,17509510,23852204,17509938,12347197,12347198,17509894,254850521,5384296,5384297,8341659,8341995,5384330,5384331,8341806,8341807,267983142,8341809,8342074,5384379,5384380,254402645,1947885,1947883,3311037,5384360,8342039,12347229,17509974,22922972,30323898,23852375,17509723,17509724,17509793,17509795,22914660,16681545,16681546,12347071,12347072,17509806,15605183,15605185,21637053,28911677,23852410,17509766,12347033,8341884,254367558,17509735,12347001,8341862,8341863,7758360,7758361,11025574,11025575,15904045,22004756,16681317,12347015,8341872,5384245,3310978,3310977,5384242,8341868,12347009,17509744,23852385,29467960,22132730,16017377,16017376,22132728,29467958,30314740,30308950,22909418,16677094,16677095,22909419,22004752,15904039,11645547,7758385,7758386,11645525,7758371,4913588,2961836,2961835,4913586,7758366,11645516,16683482,254126752,28678680,254245830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9497875, s2 = 8220968, dlinesl.size( ) = 10 s1 = 8220969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9170082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6671474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6671474, s2 = 15164424, int(edited[s2]) = 0 s1 = 6671474, s2 = 15164424, d1 = 83, d2 = 115 Dl.O(d1) = 257170668 Dl.O(d2) = 28054335,20885215,14982449,10314440,6784885,4253340,4253317,4253320,6784844,10314394,10318220,6853988,4301340,4301339,4854463,4854462,4227607,2527810,1725691,981082,981081,1725685,2973651,4300193,4300194,5943668,3716614,3716616,5943671,5941331,5941330,9083666,10285931,254791930,15071058,15071057,20983348,28163303,36638333,46505672,57861843,70563419,270794947,111910748,125728181,139066936,151768469,163643343,165590323,176266867,185718885,193962249,201025052,206980290,211899847,264993601,222055438,265565643,228387577,229990244,231411965,274470052,234885242,233838710,232687669,231413963,229992157,273728376,224469408,222057804 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13258145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13258145, s2 = 13315438, int(edited[s2]) = 0 s1 = 13258145, s2 = 13315438, d1 = 27, d2 = 35 Dl.O(d1) = 50034056,60344824,48948076,268520286,73084412,61573258,50093439,50093440,40072499,40072498,50093441,40072495,268997231 Dl.O(d2) = 50034055,255681048,48948087,39025323,30435687,23028939,23028941,30435691,257000933,257581233,60344813,60344814,257850826,100661110,100661111,114706541,271036238 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1357500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1704624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6537998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6503483, s2 = 5041520, int(edited[s2]) = 0 s1 = 6503483, s2 = 5041520, d1 = 0, d2 = 0 Dl.O(d1) = 255304685,14046340,256184975,26331032,34204789,269142511,93384444,94364134,80307438,66877875,54620023,43877687,34607026,26618911,256722603,34607029,43877692,54620030,54620028,43877690,34607028,34607027,43877688,54620026,66877876,80307440,66877878,66877879,80307441,94364135,108652237,122917363,136749317,122917362,260620434,113979787,113979786,113979784,113979783,99957110,258153020,59666533,48278700,48278701,59666535,72402140,59666899,48279105,48279104,59666897,48279106,256951493,38367605,257062524,72402484,72995763,72995764,60260115,48867104,257544022,30361306,22959939,16724020,11682186,11682187,16261461,16261462,22428402,29794472,38367173,38367170,38367171,48278701,59666534,72402138,85998462,271339969,127857485,261732385,153888295,262724443,176333449,263908049,264231472,209068909,203521988,196898561,189159103,180221881,170058980,260802068,133107111,119277362,105084337,90904349,77024678,63913248,52094662,41781528,32861120,25154451 Dl.O(d2) = 255304685,14046340,256184975,26331032,34204789,269142511,93384444,94364134,80307438,66877875,54620023,43877687,34607026,26618911,256722603,34607029,43877692,54620030,54620028,43877690,34607028,34607027,43877688,54620026,66877876,80307440,66877878,66877879,80307441,94364135,108652237,122917363,136749317,122917362,260620434,113979787,113979786,113979784,113979783,99957110,258153020,59666533,48278700,48278701,59666535,72402140,59666899,48279105,48279104,59666897,48279106,256951493,38367605,257062524,72402484,72995763,72995764,60260115,48867104,257544022,30361306,22959939,16724020,11682186,11682187,16261461,16261462,22428402,29794472,38367173,38367170,38367171,48278701,59666534,72402138,85998462,271339969,127857485,261732385,153888295,262724443,176333449,263908049,264231472,209068909,203521988,196898561,189159103,180221881,170058980,260802068,133107111,119277362,105084337,90904349,77024678,63913248,52094662,41781528,32861120,25154451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6503483, s2 = 5041520, dlinesl.size( ) = 2 s1 = 6503483, s2 = 5041520, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6503483, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1705421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1705421, s2 = 1846183, int(edited[s2]) = 0 s1 = 1705421, s2 = 1846183, d1 = 7, d2 = 9 Dl.O(d1) = 43311505 Dl.O(d2) = 48082062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1705422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1705422, s2 = 869573, int(edited[s2]) = 0 s1 = 1705422, s2 = 869573, d1 = 8, d2 = 0 Dl.O(d1) = 43311506 Dl.O(d2) = 22252640 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1431341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6701220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1359176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13550369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13550369, s2 = 11592246, int(edited[s2]) = 0 s1 = 13550369, s2 = 11592246, d1 = 58, d2 = 33 Dl.O(d1) = 78803532,78807636,78807637,78388361,77788189,64605276,56695217,257963627,78807626,78807628,65477443,53457436,42983030,33929375,26096138,19406901,19406902,26096140,33929379,34244679,34244680,43344240,53868726,65935491,65187394 Dl.O(d2) = 229355788,230841338,232169867,232169866,266186113,266480403,237176930,237176931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13550369, s2 = 11592246, dlinesl.size( ) = 2 s1 = 13550369, s2 = 11592246, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13550369, Dl.E( ) = 88, 4.6e-05 seconds used appending s1 = 1706442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13338273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13583771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13583771, s2 = 11273728, int(edited[s2]) = 0 s1 = 13583771, s2 = 11273728, d1 = 173, d2 = 94 Dl.O(d1) = 147917774,259313616,122020839,121002699,121002698,260534218,136255507,136255506,149518467,161823146,161823142 Dl.O(d2) = 113402458,260708552,113402464,99401670,259967265,99401669,270313171,59138093,59138094,256910301,29251909,21931070,15843943,15843944,21931072,29251911,37817139,256910297,37817124,47739446,59138080,71876218,85460875,85460884,90285376 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164691, s2 = 10344664, int(edited[s2]) = 0 s1 = 14164691, s2 = 10344664, d1 = 22, d2 = 15 Dl.O(d1) = 102235558,88237637,74607379,61815248,50331706,40305607,31617367,255583653,17751699,24112205,31617369,40305610,271417608,88237641,102235567,260740935,143499861,139651005,126280854,112417794,98429319,259043048,58226939,46859129,46859130,58226942,257800300,36980563,257428009,70944096,84507786,98429336,98429335,260510097,261640395,272378866,112417809,126280868,139651020,141825741,128472569,128472570,114865711,100814334,86833138,86833139,100814336,100814329,86833135,73220660,60474324,255815720,39141226,49071239,60474323,60670296,60670295,73417399,60670279,49270254,49270253,60670277,58717482,49270241,49270240,60670261,73417385,81072173,67604146,55262537,55262538,67604147,81072174,95130228,109384289,123575871,109384280,95130238,95130237,95130220,81072168,67604137,67604136,74342843,87945248,100904054,271366431,86923947,84405206,70847661,70847662,259281097,99597117,85647135,72060033,72060031,85647129,99597115,113612291,258764638,87868732,74266731,61489809,257066345,31317319,255563271,12332012,8330699,5376619,3306137,254185461,1111176,1945007,3306113,5376545,254593191,5376536,8330551,12331822,17489992,17490004,12331835,12331834,12331872,17490043,23827574,23827577,23827576,31316959,31316960,31316967,23827535,17490012,17490013,254137554,17726847,12583822,8540875,8540871,12588861,12586377,8538685,8538683,8613376,254610788,17450632,12301367,12301365,268253593,8293110,8293111,12279674,17422277,21492772,24097279,31223655,23740420,21215868,15247625,15247626,254374144,13486827,13486834,11147615,7393818,7393813,11147601,11147801,16055199,22181611,29523968,38087751,36914535,34318121,34318120,34318639,31252171,23767881,17439915,12293438,254374858,254283812,15341803,10596810,10596811,14334999,20015361,23710684,23710678,31199074,28211795,21018301,15095846,15095845,12620919,12620920,17825311,24194515,31702137,35128828,35128827,31578681,24073091,17716661,17716662,254277054,31678009,31666750,31666751,38089677,40394292,32798104,31703479,24195914,17826668,17826667,24154350,24154351,31664514,267892162,17750628,12559497,8515133,5513398,5513401,8515145,12252082,17386759,12588786,8540828,8540829,6004885,6004882,8274684,8274685,12252100,12532994,8494596,8274481,8274480,12251728,16889833,17386151,17386153,17704042,17704041,24058962,24135038,24135039,17801882,12601615,8551626,5549554,3434819,3434816,5549544,8509140,12549986,12584593,12584594,12601567,12601569,17801829,24169276,28829895,21558937,15538115,15538114,13831952,9487266,6221557,6221555,9487257,13831941,19341009,17815548,12613431,12613432,17815550,24183952,31692396,35129688,31568904,24063389,24063390,17807008,17807007,16612627,11587240,11587239,16612624,22833677,17824759,12620517,8566907,8566906,12620515,17824756,20012098,19701239,14126020,14126021,11744372,7841138,4977423,3006813,3006814,3006749,3006750,4828948,2909923,2909922,4828942,7632801,7511935,7511936,11313495,16270447,13358299,13358300,13202984,13202986,12598396,12598397,13443206,254611382,18865305,13442117,13442116,18865304,17789122,17714087,17714089,16606047,16606046,22826984,30219207,24068255,17712362,17712364,16167976,11235582,7456648,7456649,7632678,7632677,11475493,16469998,22664872,19341007,19341006,26015857,27044570,29093089,29093088,37643093,37644822,34321359,254645810,14129147,9720306,6394341,6394340,9720304,14129143,19705481,26444543,29955499,22591394,16408759,11425052,11425051,16171082,16172310,16172309,22317529,26893125,20011901,14332175,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466292,8316714,5366546,5366547,8316718,12312679,16171042,20310147,27240843,23373736,23373737,21795965,21795967,22310275,22310274,17647927,17647926,23992482,31489874,35364211,28267893,28267892,36763432,29094962,28267057,23692899,23692901,17371902,12239843,8265429,8265428,12239840,17371899,15720568,10883912,10883915,7196612,4541389,2730063,2730064,4541395,5363751,5363750,8312612,12306946,17457444,21064730,15734403,10899820,10899819,15734441,15734439,12238794,11004811,11004810,15738225,10899850,7208821,7208822,10899854,15736583,15736585,12237957,8263639,5331523,5331522,8263636,12237947,17370265,23692920,254184096,15740006,15129292,15129293,21062732,28265420,36761209,46646973,58020157,50227209,40205561,31519269,24017712,17669090,12494601,8462971,267846211,267800763,17669096,24017721,31519279,40205569,40208454,31522727,31522728,40208456,36639633,36639632,46506891,47940904,39717659,31040297,25507396,18897073,13465548,9207997,6028142,6028143,254923739,18897077,25507402,33268022,42247435,52632667,64531520,74783114,75969384,81295925,67830131,257812838,72899532,60162745,48768411,48768410,60162741,55488951,55488950,67830137,81295923,67830129,55488944,44638961,44638960,55488942,67830125,72720227,72720228,257681520,38848641,30264838,30264837,38848638,48768399,60162722,72899515,67830120,58707534,48590620,48590621,59982622,72699763,72720235,59982677,48590671,48590670,44638977,35254428,27155410,27155409,35254426,44638973,55488962,67830152,81295935,72720180,72720181,59982674,59982673,59982616,59982615,62986864,51308531,51308532,258340713,59982610,48590609,38848644,30264840,30096777,30096778,38674235,30096775,22715018,16510736,16510735,22715014,30096770,38674223,48590624,59982628,59982660,48590656,48590657,38674258,30096789,22715024,22715023,30096786,38674253,48590666,59982672,72720226,86317839,100280056,100280055,100280103,86317845,72720239,59982679,55488956,44638967,44638966,55488953,67830142,72720212,59982664,48590659,38674249,38674248,48590658,59982662,72720091,67830223,258544247,72720278,72720277,72720198,72720197,81295968,67830188,55488983,44638988 Dl.O(d2) = 38419736,29851763,22486323,22486324,29851769,38419743,48328109,47652257,37730298,29169958,21860540,15788252,15788254,21860548,23462154,17641818,12466608,12466609,17641821,23987628,31468332,40152181,46900725,37022924,31490616,23993110,17648570,17648571,23993112,31490620,40168111,40168112,40632758,38934039,30348331,22946919,22946917,30348323,33696147,36994829,29049701,21755787,21755786,29049697,37597560,40157116,40157117,47212804,37306141,28772302,28772304,23994116,23994115,29049538,37597354,37306013,37306015,36740623,28245077,21045522,21045519,28245062,28245021,24542277,24542275,32120092,40894185,41599832,51899927,59713392,50173217,40169171,40169170,50193170,61400892,61400891,50185826,48328072,38419714,254407092,47501405,47198484,37290212,28756292,28756293,37290216,46900717,37022919,28525118,21303402,15334551,15334552,21303404,28525122,31490614,40176061,46731860,58103553,55325495,254272896,20123815,20123814,254813236,5528140,5528141,8530036,12576653,17771558,24135285,22760101,16547951,11533837,7673200,7673201,11533843,16547963,22078259,22078258,25029498,23380192,17110082,12023737,8083628,8083629,12023741,17110086,23380200,30808558,24064434,24064433,24064429,24064428,22662425,16467964,254193988,10243892,14897760,20785905,22568440,16387621,16387623,22568443,255254356,29564908,22219161,22219160,22568332,16387524,11405483,7579108,7579109,11405486,13849294,9500642,9500643,13849297,19362197,254406568,22180414,22568333,24279080,17898720,12678903,8610990,5596556,5596557,8610993,6419120,6419119,9763061,13967875,9591157,6331251,6331252,9632821,14015146,19053931,13602135,9313933,9313932,13602130,13804280,19306312,19297786,13797292,9500631,9500632,13849274,19362144,16553699,16389028,11406708,11406707,9174560,6004870,3755363,2249042,2249043,3755367,6004877,9174577,267847790,19703219,14127521,14127522,10746133,7099883,4470291,4470290,6393592,4012307,2404612,1391471,1391472,2404615,2404491,2404489,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148402,24155032,27041410,31664893,24169450,17809486,17801749,12601509,12601508,254106842,24154419,24154420,26650590,24170719,24154526,17787340,254417248,30739565,23319413,17771501,12576615,12576616,10324634,10324636,14993788,12595750,12595752,17794958,24162543,31591602,29526523,22184317,16057427,16057428,12541383,8501806,8501805,8501493,5502859,3392257,1999217,1142726,641013,641012,1142725,1999216,3392255,5502852,8501475,12540798,17725711,24082998,24105030,24105031,24145877,22844943,22844942,30219065,22826746,254615104,14456064,14456061,14456356,15738161,15738160,14456303,14456069,9945443,6536645,6536646,9945678,14456442,16859622,16859621,16726358,16726359,14455786,9945279,6536416,4095344,4095341,6536409,6536628,4095455,4095454,6536625,9945640,14456388,20152287,27044728,29095247,254864786,10899814,7208802,7208801,10899812,15738155,15739523,10900675,10900676,15739530,21792883,15734229,12294123,8303491,5357498,5357499,8303497,12294138,16171091,16171088,21793106,21793104,19837328,15726447,10890283,10890287,10897885,10897880,10435926,7208485,7208483,10899205,10899187,10899189,15737218,21796588,22316920,22316919,29668474,256941553,39958990,40405873,31713822,24206148,256042243,24206147,31713820,40405872,31713824,31713823,40405875,50439749,61930160,74723705,88351775,102347942,116441060,130277950,143605477,156140032,167742474,178195845,187419958,195446497,264300785,212839705,212839702,212839701,216729692,219953721,222674487,225010441,227039154,228808985,230368491,231754149,230646175,229129223,227411743,225447954,225447955,227411745,229129227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164691, s2 = 10344664, dlinesl.size( ) = 2 s1 = 14164691, s2 = 10344664, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164691, Dl.E( ) = 24, 1.5e-05 seconds used appending s1 = 1360720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1707735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13373433, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655964, s2 = 1362046, int(edited[s2]) = 0 s1 = 11655964, s2 = 1362046, d1 = 1, d2 = 1 Dl.O(d1) = 59465256,49023356,39094451,30498590,30498589,30213673,268234371,11578595,11578594,16601664,16630887,11600807,11600808,11770932,11770931,16832307,23085262,30498591,255279998,34302748,43403965,53930756,256668566,93506637,107943897,259691350,142152035,142152034,128796843,114899609 Dl.O(d2) = 59465256,49023356,39094451,30498590,30498589,30213673,268234371,11578595,11578594,16601664,16630887,11600807,11600808,11770932,11770931,16832307,23085262,30498591,255279998,34302748,43403965,53930756,256668566,93506637,107943897,259691350,142152035,142152034,128796843,114899609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655964, s2 = 1362046, dlinesl.size( ) = 2 s1 = 11655964, s2 = 1362046, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11655964, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6768943, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14164292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164292, s2 = 10212254, int(edited[s2]) = 0 s1 = 14164292, s2 = 10212254, d1 = 34, d2 = 29 Dl.O(d1) = 37494026,28951613,21671647,15634626,10819395,7150378,7150380,9989720,14517902,18275918,18275919,24749664,18275942,12971302,268130373,24749691,24749694,32366634,32366635,32366602,256081584,31317125,23827686,17490127,12331931,8330636,5376585,5376584,8330633,12331926,17490119,23827676,31317138,24749682,18275932,12971296,8829293,5753271,3582599,3582600,5753273,8829297,12971304,18275946,24749696,32366617,32366632,269042059,55464327,55464326,63049882,63049883,74490946,65951587,55464328,44615580,35233956,35233957,44615581,55464329,258344768,51368831,41182660,41182661,51368832,61489663,50011756,50011755,61489660,257611102,88103184,74490937,74490936,61934257,61934256,74266717,74266718,87868719,88355867,87131990,74727729,257030264,40409685,40409686,50443621,61934217,50443661,40409714,31717830,268263227,12633283,8577775,5573480,5573481,254873887,255590045,12633270,8577770,8577771,12633273,255590047,31717790,30196979,22806126,22806127,30196982,268690085,24210304,17840159,17840157,24210301,31717815,40409698,48703899,257563797,72836199,74727669,88355812,88355815,88355833,74727695,61934184,61934182,50443587,40409659,257097929,257681311,40409666,40409667,40409700,50443643,50432761,50432762,61922616,74715758,63134179,51436234,41238152,41238153,51436237,63134185,76140359,89946816,103396500,102351882,258218748,118237260,115208115,101130218,257166902,256098954,63980944,77102437,90994339,89307315,89307313,103396627,117521393,113911561,99893076,85937932,72344068,59609750,48222874,48222875,59609752,72344070,85937936,99513968,91515921,77584880,64415955,64415954,77584879,76090643,63089775,51397619,51397618,63089773,52541367,52541366,64415944,64415956,64415957,259033837,91515917,77584876,64415951,52541370,42182409,42182410,33222467,33222468,42182413,52541376,64415961,75660877,75660878,87846761,87846762,84762439,84762440,71914430,71914431,257398660,77584882,260277601,119974147,112683991,258247360,71194032,58472492,47094577,37198683,37198684,47094580,257389952,37198681,37198682,47094576,37198686,28675963,28675962,37198685,256866307,28675982,268207835,10670701,255403449,28675980,37198699,47094598,58472512,71194053,255364378,47094622,37198718,28675997,21427800,21427799,28675995,37198715,47094562,47094563,58472470,47094557,37198670,28675952,21427777,255165618,15435145,255834639,37198680,28675964,28675965,37198688,47094585,47094573,37198678,28675958,28675957,37198677,47094571,58472487,71194025,84762412,84762411,84762410,98689541,258680611,58472483,58472484,71194021,84762408,98689539,100780891,86800096,73187819,60440732,49036640,49036639,60440730,55216564,55216565,67560153,258760451,59609734,48222864,38312957,29744270,29744269,257527717,55216561,258137123,48222872,38312961,29744276,22385091,16227055,11280522,11280521,16227054,22385088,29744272,38312958,48222866,55216570,268824951,34987574,39217760,256312850,40199577,44383803,39217753,39217754,255968723,16930032,255522821,30620658,39217752,30620654,30620653,39217750,30620661,23199039,16930035,255522825,16930026,16930027,23199031,30620648,31787011,254815572,12675045,8607792,255203721,255522819,11849089,7919516,7919512,7919513,11849088,7919509,5035032,5035031,5035020,5035019,7919489,11849061,16930012,23199008,16930046,255522827,11849085,11849086,16930010,23199012,30620629,30620696,39217717,30620625,23199010,23199009,16930021,11849066,11849067,16930023,23199026,30620638,37249349,47154368,58542744,71274350,84848212,73286929,60543619,49144204,49144205,60543620,73286931,72366917,72366916,85961822,99919379,258384224,59632511,48245449,48245448,59632509,72366907,59632503,48245443,38335022,29764262,29764263,22401754,16239932,11290357,7496036,4738483,4738482,7496033,11290351,16239923,22401742,29764250,38335007,48245426,48669965,38748192,38748191,48669964,60066216,72803952,70455909,57760852,57760853,57760858,46410060,36548460,28080200,255365471,254710043,6800709,10332648,15002356,255112073,11542732,14953748,14943242,10277787,6754550,6754549,4238206,2534021,1460261,826598,466657,263482,145915,145917,254117927,1466742,829874,468219,263353,263354,468105,263299,145838,145839,263304,468115,829650,1466286,2545139,1470071,831560,831558,1470067,2224311,2544092,1465706,829360,829359,1465704,2544086,4255600,254708607,14986934,20851217,15026162,254712019,6818420,5933310,3709905,3709904,5933307,9073106,6802873,6802877,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245626,6773563,8600446,5588641,3467152,2055887,1179390,1179389,1179151,1179152,2055389,3466169,3704402,5924172,8133876,12094805,15035023,255277858,19462004,19462003,23816563,17878311,17878312,24255934,31768071,40462712,40462715,257101391,58743621,57978342,57978343,70696243,61990476,61990475,74786835,74786855,74786851,74786852,74786856,62842279,51192479,41036384,32244043,32244044,32244054,32244053,41036393,269035365,24645908,24645909,32244051,41036378,37449472,28909890,28909889,33731189,25924233,21364225,15385176,10632271,10632272,15385178,21364226,255829143,28596961,28596944,28596945,21364213,15385167,10632264,255829137,37104910,256858264,28597013,257437795,46989637,46989636,58359834,46989707,257437793,58359912,46989705,37104974,37104973,46989704,58359837,58359838,46989692,37104978,28597010,21364251,21364253,28597012,256859107,58359916,71076594,84639620,84639619,71076591,58359915,58359913,58359914,71076587,84639622,84639617,84639571,71076511,71076510,62839056,269035223,41032188,51188844,258206511,51188850,41032192,32239589,32239590,41032194,51188852,62839061,75803257,71076536,58359860,58359859,58359890,257018269,39270110,37104950,28596988,28596989,37104937,28596978,21364241,15385189,15385190,21364243,28596995,37104956,46989683,58359884,71076570,84639606,84639574,71076561,58359877,58359878,71076563,84639597,98562829,98562828,112556309,271768914,84639614,258671554,46989689,46989688,58359888,71076575,84639613,98562855,98562833,84639583,71076541,71076542,71076573,71076574,84639610,98562852,112556327,126425363,139798461,152515744,164379762,175169228,184743894,193104452,184743886,175169213,164379747,164379748,273330119,193104453,200279137,206338720,207805721,201989721,200271315,193095050,184733214,184733213,262804332,184636391,175042957,164236947,161787131,149485541,136226747,136226746,149485540,152363865,152363866,164236946,272600558,152363868,152363869,139643094,136226737,136226738,149485531,149485543,260111398 Dl.O(d2) = 46849472,46849487,58217375,58217374,256612902,58217382,52154824,52154825,58627825,58627824,268468400,52154827,254893706,25197469,18635182,13249238,13249237,18635180,25197467,32909422,41835357,52154822,63980947,77102440,90994342,105188482,119396044,133240007,130281687,116444901,102351874,89307154,89307155,103396496,102339724,88343471,74715757,62613961,62613948,62613949,75551603,89307134,75551618,73280133,73280132,76140338,76140337,89594911,89594910,103710862,117865108,117521378,103396605,89307289,89307290,103396608,113975175,113975174,127853157,131317121,131317122,144538122,144538125,131317126,117521301,117521300,131317124,117521363,103396584,89307267,75551698,75551626,62613970,50992025,50992024,62613966,75551623,75551715,62614033,62614034,75551718,89307299,103396613,117521293,117521294,104077097,259573524,117521285,103396482,89307135,75551604,62613950,258321279,89307140,260188897,104077074,89946808,76140340,63134176,51436232,41238151,32412873,24787814,18305511,18305512,24513090,32086728,40857875,41238160,32412878,24787816,18305513,18305514,24787818,32412882,41238165,51436251,63134201,76140372,84896631,84896630,71546662,58818323,58818322,66943857,80369315,93377090,93377091,105871475,91662992,77734880,64552421,256619730,42267004,52652875,64552419,61792040,61792039,74576397,79249926,65886304,58818330,47431872,47431874,44534395,35158198,27072258,20177044,20177043,27072256,255748652,55380755,67720711,257914954,109494101,95241025,85117854,71546681,58818334,58818333,71546680,85117852,257914956,55380756,55380757,59790909,72525734,86125107,95241022,104071415,89942092,89942093,104071416,104071454,89942150,76136207,63130319,51432751,256596243,32409733,41234672,51432754,63130325,76136215,89942100,104071420,89942170,89942171,104071470,104071444,104071445,118230353,104071446,104071447,260218527,89942130,89942131,89942125,89942126,104071434,89942155,271793040,132050000,132049999,145286703,136741103,271548236,94356143,94356142,104071443,89942129,76136183,76136182,89942128,104071442,118230349,118230337,259602423,89942115,104071430,98367433,84458038,84458039,98367435,112349830,126210022,139584827,261145030,259967608,76136178,76136179,84458041,269801146,104071435,89942119,89942120,259967606,112349827,98367428,84458032,70901461,58188468,58188469,70901463,84458035,98367431,94356134,80299563,66870292,66870289,54612571,43870169,34599954,26612718,26612719,34599955,43870171,50311652,40290641,40290640,256541979,24105401,17746818,12557094,12557095,12557097,12557096,17746821,24105407,24787976,24787975,31607635,31607631,24105398,24105399,24787977,32413058,269044917,51436311,41238270,32413055,24787972,24787971,32413053,41238266,257735691,258975473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164292, s2 = 10212254, dlinesl.size( ) = 2 s1 = 14164292, s2 = 10212254, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164292, Dl.E( ) = 36, 1.91e-05 seconds used appending s1 = 6897165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6897165, s2 = 16167882, int(edited[s2]) = 0 s1 = 6897165, s2 = 16167882, d1 = 28, d2 = 31 Dl.O(d1) = 259860168 Dl.O(d2) = 261662347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6897165, s2 = 16167882, dlinesl.size( ) = 20 s1 = 1710739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1710904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1710904, s2 = 1522068, int(edited[s2]) = 0 s1 = 1710904, s2 = 1522068, d1 = 9, d2 = 14 Dl.O(d1) = 43843983 Dl.O(d2) = 38730598,38730597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1710904, s2 = 1522068, dlinesl.size( ) = 2 s1 = 1710904, s2 = 1522068, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1710904, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 1711141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335247, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9686545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13218073, s2 = 10349443, int(edited[s2]) = 0 s1 = 13218073, s2 = 10349443, d1 = 5, d2 = 7 Dl.O(d1) = 964459,543482,304559,304560,543485,964466,254101303,267744839,254170071,1704513,1704512,1704632,968978,545762,305691,305692,545765,545660,305641,305642,305703,305702,545781,969040,969052,1704659,2939305,1704437,968829,545648,305635,305634,545645,254126279,305651,254079081,254079083,305653,545688,968884,1704516,1704703,1704704,1704699,1704702,1704642,968984,545743,305682,169169,93113,93114,169146,93104,254079079,305637,545654,545682,545683,545689,968886,1704517,2939417,2939401,2939400,4878326,7708208,11580623,16604621,22825161,16604376,11580400,7708038,4878192,2939308,1704587,968939,545718,545717,545726,968955,1704612,1704636,968975,968976,545749,305685,305684,545747,968993,254244339,4878247,7708095,7708062,4878282,2939378,2939377,2939335,2939334,4878220,7708060,4878227,4878225,7708066,11580422,7708145,4878287,4878286,7708143,11580530,11580613,11580624,16604613,22825419,30217809,22825418,16606229,11581761,11581762,16604469,11580490,7708114,254796889,11580599,11580598,255940637,30217698,38458052,255508382,33867974,34257088,38102335,43356774,43356773,48012914,43356954,34257094,26379606,19645503,14080895,9685157,9685156,14080892,19645498,26379596,34257086,29538697,26379207,19645131,19645130,256187505,19808973,19808974,26618348,34606299,38102343,38102361,38383139,29810942,29810941,38383138,48293821,48012799,38102244,29538698,29538699,255904901,16191685,16191684,22339713,18641053,18641051,25204601,32918311,41846488,38102329,29538842,22195680,268083649,7399924,7399925,11156457,16067085,22195688,22195942,22195941,29538724,29538722,22197385,16068418,11157361,7400440,7400439,7399807,7399806,11156300,16066914,22195508,255454685,16067067,21972580,15878747,255454719,16066746,11156164,7399705,4674585,2816217,1633812,1633813,254351131,7399706,11156165,7399836,4674680,4674679,7399834,11156211,11156212,16066800,16068409,11157372,7400448,4675070,4675069,7400446,7400462,4675082,4675083,7400464,11157382,9991234,6566550,254983053,20235184,26912991,20028539,14345543,9855939,9855938,14345537,20028533,14399555,14399554,20083385,22643769,16453662,11464083,11464082,16453656,22643757,255379718,48503049,38592488,254833094,255544308,23416914,23416915,256296544,30015730,22643736,22643737,30015736,35227392,35227391,35241798,27144895,20235924,20235925,22562102,22643466,16453446,16453422,16453424,22643419,22643445,30015395,35241864,35241850,27144949,20235976,14520794,9991529,6566712,4113738,4113736,4113743,6566725,9991554,14520829,20236018,22813630,22813629,27145022,27144749,20235834,20235835,22813621,16595314,16595313,22813618,30205223,38789997,39791099,31110701,23624383,23624384,22643726,22643728,30015719,38588131,44625144,55475111,44625075,44625065,39791105,39791104,44625306,51756858,63535669,63535535,51756673,41486440,257160451,44608266,44608267,51756800,51756799,55475075,44625020,44625019,51756770,51756710,41486470,32607498,32607497,41486468,51756707,44424275,35049529,26968365,26968364,33334397,33334395,42314922,47440838,47440837,51756848,51756847,257549028,67612335,55271505,44424253,35049514,35049515,44424256,55268940,60254017,48861231,48861230,60254015,60254019,48861308,48861309,258185047,258022823,46656784,36771816,35045428,35045429,257307527,55268093,55268091,67609438,71553375,258781930,81076681,73070886,60330252,48932283,39008674,39008677,47438648,58825336,60254132,60254133,258883396,47438480,58825178,50532731,40497396,40497397,36771783,28985992,28985991,24287957,24287958,31802326,40497403,47438619,58825319,58825248,58825247,50253518,40234105,40234107,50253524,50532728,40497394,40497393,47438606,47438607,58825304,60779697,55241944,44393297,39450364,39450346,30846158,30846157,37530453,28985932,21702812,15662012,15662011,21702806,28985918,37530428,47438493,58825190,59897535,48503742,48503739,55241989,44393333,35017066,26935683,20049459,20049458,26935678,21072453,15136518,15136517,21072448,28276294,36771890,46656887,58029236,48501619,48501618,59177784,59177783,55241960,55241961,67583758,62024484,50532720,50532718,55266118,58825310,60779694,60779684,49378479,39450371,30846171,23416059,17140147,12045835,12045837,17140152,23416072,30846198,29287117,29287116,35047089,35047087,36828667,44417929,35043591,35043592,44417935,49378433,49378431,49378459,44418712,37530413,35017052,35017053,44393315,46656906,47438458,47438456,58825158,55265861,44418336,35043979,35043977,31553015,24049134,268208780,12516036,8479191,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,16201943,21963923,15870054,15870051,21963922,21086036,254966744,29639187,22287533,254467178,11215315,12266927,8283884,8283885,12266931,255379541,15146278,21086222,25127199,18574678,254467410,25315801,23176318,21620287,15589912,15589913,21620290,26702332,22187245,16059998,11151346,7396365,7396364,11151343,16059990,254967388,7476866,4725369,2847129,2847133,4725383,7476890,11262794,9779857,9779858,14226231,16826936,16826935,23079068 Dl.O(d2) = 15626615,15626614,15866145,10996849,7279742,4591123,2762239,1601326,910622,910620,1601533,2762685,4591509,7280496,255065629,21961287,26965972,26964074,20079714,20079713,26964068,35044271,26964015,26964016,26963742,20079413,14396724,14396725,20079419,26963750,26963373,20079104,14396441,14396440,20079098,20079109,20079110,26963386,26963318,26963316,35043535,35043734,32834028,32834029,35043951,26963701,26963702,20079598,20079599,26963586,26963585,20079281,20079280,26963615,26963683,20079348,14396658,9902641,9902642,14396664,14397966,20081193,26965985,35046650,35043558,26964122,26964124,26963690,20079701,20079700,20080335,14399251,9904266,9904264,14399244,14399307,14396430,14396431,14396695,13201414,8999624,8999623,13201409,14396690,14396691,14396624,9902615,6508765,6508766,9902622,9903679,6509375,4079100,4079099,6509368,9903455,6509242,4079042,2440649,2440650,1411147,1411148,1411089,1411090,2440552,4078852,6508707,4078742,4078740,6508703,9902509,14396453,20079126,21958272,20080487,14397458,14397459,14399275,9904286,6509720,4079275,2440768,2440769,4079281,6509736,9902496,9902654,255742841,14398449,9903813,6509470,6509469,9903810,7400382,4675029,2816449,2816450,4675031,4595172,2764444,2764445,4595174,7286699,11007190,15083145,10403491,10403492,267973587,7399868,11156381,16067018,14520317,9991257,6566567,4113672,4113670,6566564,254767705,7399752,11156217,14520334,14520335,20235198,27143755,29540768,29540767,22197316,22197315,20927176,15019162,15018894,10346640,6812169,4969125,3001320,3001321,255127239,16175576,22320715,29672013,23012842,16773124,11726785,7828811,4969345,3001453,3001452,4969342,7828808,11726783,16176794,16175597,16175596,16175646,16772730,11726426,7828538,4969184,3001355,1742983,990350,557033,557031,990345,1742975,3001340,4969159,7828494,11726355,16772637,22320699,16175584,16175583,11726989,11726990,16773335,16773207,16175615,16175616,11726860,7828858,4969373,3001469,3001468,4969370,7828850,11726753,11726943,16773249,16773148,16772035,11725892,7828166,4968944,3001202,3001201,4968938,7828157,11725878,16772010,16772639,16772640,16771913,11725817,11725816,11726981,7828941,7828942,11726983,16772973,23012720,23012725,16772977,11726648,255127263,16773315,254807449,4969416,4969417,7828937,11726970,16773316,255955087,23013011,16773323,11726979,7828940,7828905,7828907,11726930,254789660,11725685,7828179,7828178,11725906,16772044,16773199,255955081,28033056,23013767,268245104,11725853,7828142,4968930,3001197,1742887,990293,990294,1742890,3001205,4968950,7828174,7828751,11725904,7828176,4968952,3001206,3001207,4968954,7828182,11725913,16772055,16772946,11726623,7828685,4969270,3001410,1743017,1743018,990419,557067,311478,172159,94699,94697,172153,311465,557041,990367,1742865,1742864,3001158,4968856,7462267,11120542,7828631,7828632,7827879,4968754,4968755,4969460,3001520,1743087,990421,990420,1743086,3001517,4969454,7828982,7828206,4968967,3001214,3001213,4968966,7828204,11725945,16772079,254505634,11725993,7828243,7828242,11725990,16772140,11726044,11726045,16772205,255510769,11725761,11725762,16771850,17028483,17028484,14080791,14080790,11727321,7829200,4969607,3001603,3001604,4969609,7829204,11727329,11848844,12752728,17992173,24392172,31925142,39008152,39008153,39006241,30418618,23013544,23013542,30418614,39007918,37237349,37237350,258684329,64688763,257214101,33386855,30878916,30878915,39484496,49414283,48021587,38111952,38111951,48021585,256313406,59408082,48021457,48021458,38112018,31890872,31890871,40599673,50649556,62158662,59372746,47982643,38111889,38111887,48021213,48021214,57808979,59408141,48021583,38111947,38111340,38111339,47982761,58183615,57985994,46609324,36721306,28227709,21031230,21031231,17536311,17536310,23882631,28227680,28227683,36721281,46609299,46890151,38111295,38111294,48021225,42163492,33203542,33203543,38111928,256830256,38111302,29548171,29548170,38111300,48021229,59407979,258019668,29549093,29549094,37011072,37011073,38111853,38111852,46609288,36721261,36721260,38111243,36938805,28439302,21213945,15246183,15246184,21213947,21291762,20994873,20994874,28176285,36651976,29548362,29548361,29548368,22204786,22204785,29548366,38111437,36939125,28439656,21214277,21214279,255984386,31454367,26318321,19592949,14038505,14038506,19592951,26318322,23560228,17250155,12131218,8161961,8161959,12131212,17250145,23560214,31042957,31042958,39720551,38107723,29544521,29544519,30743053,30743052,32802615,25100822,25100821,31810413,31810414,40505961,31810501,24295340,24295339,17913063,12690971,8621329,5605203,5605205,8621337,12690982,17913081,24295453,254996428,38237784,268598024,23560261,23560260,31043035,39720625,48147291,38237749,38237750,48147293,39720796,39719915,31042254,31042253,255932882,30112653,38688679,34121003,34121004,40386647,38237490,38237489,39720345,31043344,23560516,17250357,12131318,12131317,17250351,23560508,31043330,39720872,39720352,39720353,49738778,39720338,31042751,23560051,23560049,31042744,23560047,23560045,21659948,15623847,15623848,21659950,28938727,37480702,40386433,31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6017481,257069631,50055504,49031368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13218073, s2 = 10349443, dlinesl.size( ) = 2 s1 = 13218073, s2 = 10349443, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13218073, Dl.E( ) = 8, 2.1e-05 seconds used appending s1 = 8230104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8230104, s2 = 15072188, int(edited[s2]) = 0 s1 = 8230104, s2 = 15072188, d1 = 14, d2 = 7 Dl.O(d1) = 6514123,6513949,6513731,6513732,9911026,14409942,20098076,26987535,35071290,44445731,44445732,55289936,55289931,55289930,67627873,55289933,44445736,44445735,55289940,67627883,66888797,54631080,43887674,34615416,26625737,19814868,19814867,26625736,34615414,43887670,43887669 Dl.O(d2) = 9076854,5936093,3711689,3711686,3711805,2222739,1289362,1289361,2222731,2055542,2055541,3466480,5587443,8598839,12663233,17879547,24257153,256553371,40464071,50500173,61992125,259541393,116516794,116516795,130353246,143677725,143677727,143677728,156206983,167801888,178246148,178246151,178246152,187462486,187462487,186895344,177612963,167112997,155478900,142901480,129585726,129585727,271335008,271335010,155478904,142901486,129585733,115699470,101655606,87683970,74076638,61294879,61294878,74076637,61425380,50024273,40005805,31327783,31327784,35182371,35182370,31261812,31261813,33470402,33470405,28148564,20970124,20970122,17441932,17441930,21382025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8230104, s2 = 15072188, dlinesl.size( ) = 2 s1 = 8230104, s2 = 15072188, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8230104, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 1713109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1649674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1649674, s2 = 14163261, int(edited[s2]) = 0 s1 = 1649674, s2 = 14163261, d1 = 1, d2 = 1 Dl.O(d1) = 41915505,35369817,27245785,27245784,35369816,43895317,53024640,54638304,257287287,256200527,19822595,19822596,25776659,25776661,33566263,26634019,26634018,33462584,25690484,19066361,13611640,13611639,19066356,25690478,25778446,33566796,25777065,25777066,33566891,42583336,33566914,33566915,25777595,25777593,256669053,53024796 Dl.O(d2) = 41915505,35369817,27245785,27245784,35369816,43895317,53024640,54638304,257287287,256200527,19822595,19822596,25776659,25776661,33566263,26634019,26634018,33462584,25690484,19066361,13611640,13611639,19066356,25690478,25778446,33566796,25777065,25777066,33566891,42583336,33566914,33566915,25777595,25777593,256669053,53024796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1649674, s2 = 14163261, dlinesl.size( ) = 2 s1 = 1649674, s2 = 14163261, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1649674, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 9719170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9719170, s2 = 11258880, int(edited[s2]) = 0 s1 = 9719170, s2 = 11258880, d1 = 63, d2 = 59 Dl.O(d1) = 244952599,244773345,244581709,274972803,243659064,243383232,243088459,242774731,242437562,242074540,241680356,241253686,240792801,240792800,240295827,239760231,239179686,238547256,237856860,237097659,236265904,235354486,234354921,233256411,266175989,230697308,229186146,227475930,225520311,223272453,220672813,217617022,217617023,213955159,209493827,204056068,197538014,189883255,181005712,170886624,159558553,159558552,159558554,159558555,272379101,120134911,105922912,91715471,77787677,64604766,52704239,52704238,64604765,77787673,91715467,260286723,91715472,77787677,64604766,52704239,52704238,64604765,77787675,91715470,105922910,105922900,91715459,77787667,64604761,52704234,42316982,33336578,25577123,25577124,25577126,255269059,254654709,3796020,3796021,254654711,6971662,4450889,2673901,2673903,2621993,1513406,1513403,2621981,4377599,6968013,6958023,4371661,2618960,1511999,1511998,2618959,4371659,6958015,8104835,8104836,12054795,17151306,18937479,13501699,13501698,18937478,18961807,13526066,13526065,255672431,33331002,256762780,64598899,63586367,63586366,54645228,256394212,26639714,26639713,34192933,43290187,53815203,48081298,43290185,34192929,26320743,26320742,34192928,43290186,53815199,52755084,42355725,255282126,270003341,90484592,76625998,63545842,257161229,32614613,256607737,41494821,41494820,51766198,53230763,42779294,42779293,46468440,36601672,36601673,28127998,28127999,22931342,19828503,14204038,14204037,19828502,23469248,17188754,12086341,12086343,17188758,20158024,19827896,14203718,9764232,6419915,4027611,2413520,1397029,1397028,2413516,4027603,6419897,9764207,14203677,19827829,26639885,34629807,43902272,54645423,66902628,66902627,259134281,66902625,66902626 Dl.O(d2) = 42764411,53214235,65200036,72533099,59797810,48412866,46421060,46421059,57775179,70474846,84008392,78484553,65200040,53214239,42764414,33734388,25927367,25927366,19265354,13769870,9439523,6187660,3872301,2318929,1344394,1344396,2318542,1356653,1356649,2341241,2342019,2342022,3911936,6248688,9526029,9148322,9148323,13383856,18790603,255622870,25375583,33110953,42060218,42755954,53205376,42755952,42755951,53205375,65190625,256591902,257144100,134887254,148007404,134887247,258343390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7025480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9367996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162730, s2 = 9461883, int(edited[s2]) = 0 s1 = 14162730, s2 = 9461883, d1 = 6, d2 = 6 Dl.O(d1) = 39387259,39387258,49315089,50011983,39994181,31317372,23827868,23827866,31317371,39994177,40518574,40518575,50012036,258257697,50555004,40518602,31821677,24305089,24305088,31821675,40518595,50554997,58179575,268914035,255817009,10516427,6935272,254723903,15244021,17921245,17921246,24305082,268692435,50554960,62047567,50554996,268692437,31821673,40518594,257424095,46812347,58179553,52663470,52663471,258413107,58179550,58179551,70893609,62047570,258033853,50011986,39994182,39994183,50011988,42276132,33294924,33294923,42276129,46812344,36934058,28435291,28435290,36934055,39994222,50012032,61489901,58179568,46812359,36934073,28435301,21210868,15244024,15244023,21210865,28435297,31821656,24305079,17921244,17921243,256050235,256014685,17490281,12332045,255174049,23827887,31317400,36934053,256519621,28435298,28435299,36934071,46812352,58179559,50012055,50012056,58179563,50012079,50012080,50012030,50012031,58179562,70893607,58179549,52663468,42276123,42276122,39994224,39994223,50012029,50012028,50012071,39994251,39994250,50012068,61489928,74266841,87868817,271392609,125715028,111897436,97959833,97959832,111897439,101841109,101841111,109632352,95389589,81340376,81340377,84490559,84490557,98412241,112401487,270960339,75374966,62460397,257118085,31997383,24439252,18023847,12774557,8683116,5650201,3512735,2088622,254141257,376499,219843,204632,111890,61344,35436,35432,64202,66154,66151,121608,221225,396199,703466,1239782,2145514,3597273,5711996,5711995,5765232,254445345,2257972,3768517,6023744,3861622,3861564,3861563,2313563,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160612,9403194,13726954,13844225,255292893,268005896,268657819,16880180,11810020,7888669,7888670,7887489,5009352,3028948,1762429,1004088,565845,565848,254173717,3028968,5009375,7887513,7889978,7889977,11811683,16882149,23142295,255811470,21333936,255019300,30261241,22865293,16637941,11606041,11606040,16637939,22865292,30261239,255975726,46629977,254820234,46642664,46642665,255975728,46511913,42112015,256125217,18825315,13412633,9170635,9170633,13412630,18825310,25416645,268744737,52464569,64332308,268493324,52464615,256640707,33157572,42112038,42112034,42112035,52464608,64332347,52464617,255263624,74522189,88134265,255666782,255666784,97935760,84062543,84062545,97935750,84062532,84062531,97935749,259662078,117665935,259662076,259655067,119893910,133764964,119893881,258408128,119893917,105654700,105654701,117665939,117665932,117237046,103119958,103119957,117237045,131035630,117665948,117665949,259950074,100029728,100029727,98964206,98964205,91522649,91522650,105746274,119980913,119980905,105746267,91522645,91522646,91522663,91522664,91522668,86066202,72467492,59731659,59731658,72467489,80308270,66878699,66878700,80308222,94364844,80308247,66878651,66878649,54620845,50234444,50234443,61713574,257866589,53942064,258275509,53479502,53479501,65501966,65502216,53479706,43002777,269126183,34314555,34314554,43415717,43415719,50228449,40732782,40732785,40732787,40732786,43415698,257271587,47630591,47630590,57841990,59032798,47912478,47912479,59306615,62420362,50837657,50837656,47630604,37708301,37708300,256510287,23715290,17391415,17391416,23715292,31203082,39883027,46813054,37708390,29148064,29148063,33718063,25911540,25911541,33718065,42747406,46320668,47630670,47630667,268955528,31203080,31203079,39883024,49904018,52141218,41824063,41824064,46812884,46812864,46812863,36934576,28435713,21211173,21211172,256306567,21211216,15244259,10516573,6935375,6935374,10516569,15244252,21211204,28435775,33092993,42041059,256420100,91310986,105528930,119762458,260019286,146885540,136321891,122339567,122339566,107916940,93482702,93482701,107916938,93482704,79348903,65983586,53916039,43391484,34291846,34291847,43391487,34291848,26415756,19679588,19679589,26415757,34291850,43391488,53916042,65983591,61334405,49851452,39828004,31145853,23659074,17342296,12215870,8246072,5317610,3266507,3266506,5093607,3091377,3091382,5093624,267988527,17038846,23299036,23659073,31145852,37378004,254886636,58012875,61713725,59982325,59982326,58233326,52841758,52841757,42436991,33444087,33444088,42436993,52841761,50425306,40391444,34641667,29756635,29756637,255805342,18522274,18522273,25060929,25291841,25060958,25060956,32753035,28406791,28406790,36904114,46781876,39381890,38328448,38328447,36571341,28100041,28100043,36571348,46435950,57656122,70346590,83871810,97730677,258138484,138782870,151484234,163367691,167178776,155546673,142997777,129669990,115773281,259494019,61371307,49890813,49890814,259494021,115214374,101137220,87138844,73519719,269374849,39438860,30834868,255983443,17132115,12039803,8094066,5185535,5185536,8094067,7383615,7383616,11131504,16031571,17132148,17132150,23406041,23405913,23405914,26989056,26989057,35073109,44447898,55292299,44606367,40002172,31324498,23833863,21986407,21986408,29314574,23833852,21986410,15890044,11015250,7292016,4598389,4598391,7292018,11015254,15890056,21986429,27984508,27984509,36443856,46297202,39227459,39227458,34971291,26892074,26892073,255313668,46297204,36906419,36906417,37883428,34971296,26892077,26892076,23206847,16936012,11853153,7922119,5036517,5036516,7922117,11853149,16936003,23206833,30629665,39227471,49153763,256895160,256121023,18776799,13372372,13372371,18776798,25359243,33092450,39220129,30622877,23200938,16931565,16931566,23200939,22057460,17127743,267885776,20010878,254968583,6466015,6466016,9844990,14331396,20010880,26892022,34971233,44348710,55199210,67543081,81012806,95071902,109326743,123518107,137248098,150287987,162423712,173466466,163874093,152005683,262144643,139298556,260492015,98156225,84262113,70710685,57993776,46617592,36729633,256292165,28235415,256830835,46617591,57993775,70710684,84262111,98156224 Dl.O(d2) = 39387259,39387258,49315089,50011983,39994181,31317372,23827868,23827866,31317371,39994177,40518574,40518575,50012036,258257697,50555004,40518602,31821677,24305089,24305088,31821675,40518595,50554997,58179575,268914035,255817009,10516427,6935272,254723903,15244021,17921245,17921246,24305082,268692435,50554960,62047567,50554996,268692437,31821673,40518594,257424095,46812347,58179553,52663470,52663471,258413107,58179550,58179551,70893609,62047570,258033853,50011986,39994182,39994183,50011988,42276132,33294924,33294923,42276129,46812344,36934058,28435291,28435290,36934055,39994222,50012032,61489901,58179568,46812359,36934073,28435301,21210868,15244024,15244023,21210865,28435297,31821656,24305079,17921244,17921243,256050235,256014685,17490281,12332045,255174049,23827887,31317400,36934053,256519621,28435298,28435299,36934071,46812352,58179559,50012055,50012056,58179563,50012079,50012080,50012030,50012031,58179562,70893607,58179549,52663468,42276123,42276122,39994224,39994223,50012029,50012028,50012071,39994251,39994250,50012068,61489928,74266841,87868817,271392609,125715028,111897436,97959833,97959832,111897439,101841109,101841111,109632352,95389589,81340376,81340377,84490559,84490557,98412241,112401487,270960339,75374966,62460397,257118085,31997383,24439252,18023847,12774557,8683116,5650201,3512735,2088622,254141257,376499,219843,204632,111890,61344,35436,35432,64202,66154,66151,121608,221225,396199,703466,1239782,2145514,3597273,5711996,5711995,5765232,254445345,2257972,3768517,6023744,3861622,3861564,3861563,2313563,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160612,9403194,13726954,13844225,255292893,268005896,268657819,16880180,11810020,7888669,7888670,7887489,5009352,3028948,1762429,1004088,565845,565848,254173717,3028968,5009375,7887513,7889978,7889977,11811683,16882149,23142295,255811470,21333936,255019300,30261241,22865293,16637941,11606041,11606040,16637939,22865292,30261239,255975726,46629977,254820234,46642664,46642665,255975728,46511913,42112015,256125217,18825315,13412633,9170635,9170633,13412630,18825310,25416645,268744737,52464569,64332308,268493324,52464615,256640707,33157572,42112038,42112034,42112035,52464608,64332347,52464617,255263624,74522189,88134265,255666782,255666784,97935760,84062543,84062545,97935750,84062532,84062531,97935749,259662078,117665935,259662076,259655067,119893910,133764964,119893881,258408128,119893917,105654700,105654701,117665939,117665932,117237046,103119958,103119957,117237045,131035630,117665948,117665949,259950074,100029728,100029727,98964206,98964205,91522649,91522650,105746274,119980913,119980905,105746267,91522645,91522646,91522663,91522664,91522668,86066202,72467492,59731659,59731658,72467489,80308270,66878699,66878700,80308222,94364844,80308247,66878651,66878649,54620845,50234444,50234443,61713574,257866589,53942064,258275509,53479502,53479501,65501966,65502216,53479706,43002777,269126183,34314555,34314554,43415717,43415719,50228449,40732782,40732785,40732787,40732786,43415698,257271587,47630591,47630590,57841990,59032798,47912478,47912479,59306615,62420362,50837657,50837656,47630604,37708301,37708300,256510287,23715290,17391415,17391416,23715292,31203082,39883027,46813054,37708390,29148064,29148063,33718063,25911540,25911541,33718065,42747406,46320668,47630670,47630667,268955528,31203080,31203079,39883024,49904018,52141218,41824063,41824064,46812884,46812864,46812863,36934576,28435713,21211173,21211172,256306567,21211216,15244259,10516573,6935375,6935374,10516569,15244252,21211204,28435775,33092993,42041059,256420100,91310986,105528930,119762458,260019286,146885540,136321891,122339567,122339566,107916940,93482702,93482701,107916938,93482704,79348903,65983586,53916039,43391484,34291846,34291847,43391487,34291848,26415756,19679588,19679589,26415757,34291850,43391488,53916042,65983591,61334405,49851452,39828004,31145853,23659074,17342296,12215870,8246072,5317610,3266507,3266506,5093607,3091377,3091382,5093624,267988527,17038846,23299036,23659073,31145852,37378004,254886636,58012875,61713725,59982325,59982326,58233326,52841758,52841757,42436991,33444087,33444088,42436993,52841761,50425306,40391444,34641667,29756635,29756637,255805342,18522274,18522273,25060929,25291841,25060958,25060956,32753035,28406791,28406790,36904114,46781876,39381890,38328448,38328447,36571341,28100041,28100043,36571348,46435950,57656122,70346590,83871810,97730677,258138484,138782870,151484234,163367691,167178776,155546673,142997777,129669990,115773281,259494019,61371307,49890813,49890814,259494021,115214374,101137220,87138844,73519719,269374849,39438860,30834868,255983443,17132115,12039803,8094066,5185535,5185536,8094067,7383615,7383616,11131504,16031571,17132148,17132150,23406041,23405913,23405914,26989056,26989057,35073109,44447898,55292299,44606367,40002172,31324498,23833863,21986407,21986408,29314574,23833852,21986410,15890044,11015250,7292016,4598389,4598391,7292018,11015254,15890056,21986429,27984508,27984509,36443856,46297202,39227459,39227458,34971291,26892074,26892073,255313668,46297204,36906419,36906417,37883428,34971296,26892077,26892076,23206847,16936012,11853153,7922119,5036517,5036516,7922117,11853149,16936003,23206833,30629665,39227471,49153763,256895160,256121023,18776799,13372372,13372371,18776798,25359243,33092450,39220129,30622877,23200938,16931565,16931566,23200939,22057460,17127743,267885776,20010878,254968583,6466015,6466016,9844990,14331396,20010880,26892022,34971233,44348710,55199210,67543081,81012806,95071902,109326743,123518107,137248098,150287987,162423712,173466466,163874093,152005683,262144643,139298556,260492015,98156225,84262113,70710685,57993776,46617592,36729633,256292165,28235415,256830835,46617591,57993775,70710684,84262111,98156224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162730, s2 = 9461883, dlinesl.size( ) = 2 s1 = 14162730, s2 = 9461883, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162730, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 6682533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682533, s2 = 14239306, int(edited[s2]) = 0 s1 = 6682533, s2 = 14239306, d1 = 9, d2 = 18 Dl.O(d1) = 257289203 Dl.O(d2) = 268746384,254871325,6529318,4091132,2447705,2447704,4091129,3753670,2259452,1311419,748766,425599,252875,252873,449361,793475,1395221,2411101,4023838,5867802,6596066,5862470,3660066,3660067,5371562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6682533, s2 = 14239306, dlinesl.size( ) = 20 s1 = 9687642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1716021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1716160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 278557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9111604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1716893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1716893, s2 = 9397300, int(edited[s2]) = 0 s1 = 1716893, s2 = 9397300, d1 = 9, d2 = 15 Dl.O(d1) = 43957462 Dl.O(d2) = 66960923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1716893, s2 = 9397300, dlinesl.size( ) = 18 s1 = 8333457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9098440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1718110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1392182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7619114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8061474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655440, s2 = 8992527, int(edited[s2]) = 0 s1 = 11655440, s2 = 8992527, d1 = 18, d2 = 28 Dl.O(d1) = 199027036 Dl.O(d2) = 274946736,245091876,267284256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655440, s2 = 8992527, dlinesl.size( ) = 2 s1 = 11655440, s2 = 8992527, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11655440, Dl.E( ) = 46, 3.7e-05 seconds used appending s1 = 8142465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6621503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6729169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6729169, s2 = 9220381, int(edited[s2]) = 0 s1 = 6729169, s2 = 9220381, d1 = 1, d2 = 1 Dl.O(d1) = 257789048,49072446,268492530,44358368,34980845,34980844,256127940,81022451,95081708,109336662,259031292,260275148,114867079,128764329,114867082,100815782,100815781,261235853,272881911 Dl.O(d2) = 257789048,49072446,268492530,44358368,34980845,34980844,256127940,81022451,95081708,109336662,259031292,260275148,114867079,128764329,114867082,100815782,100815781,261235853,272881911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6729169, s2 = 9220381, dlinesl.size( ) = 2 s1 = 6729169, s2 = 9220381, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6729169, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1720162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1720162, s2 = 3563022, int(edited[s2]) = 0 s1 = 1720162, s2 = 3563022, d1 = 18, d2 = 21 Dl.O(d1) = 44358657 Dl.O(d2) = 119997362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1720162, s2 = 3563022, dlinesl.size( ) = 2 s1 = 1720162, s2 = 3563022, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1720162, Dl.E( ) = 48, 1.88e-05 seconds used appending s1 = 1374334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163974, s2 = 1722719, int(edited[s2]) = 0 s1 = 14163974, s2 = 1722719, d1 = 9, d2 = 9 Dl.O(d1) = 71202014,84771429,98700192,112696239,126560422,139924342,143764149,130437366,116595141,102493288,88486692,74851079,62052947,257468324,40524234,36509250,28045542,28045541,36509249,46367473,41151123,41151126,51336491,63017478,63017480,51336494,41151129,41151128,41165913,42262066,33282266,32351765,32351764,24735824,18262628,18262627,24735822,32351770,41166769,47781060,268020296,29288693,37857365,47781061,49091497,60494756,60494750,49091490,39161755,39161754,49091495,49961140,39944202,31269405,23784189,23784190,31269407,39944206,49961148,61439170,61439161,49961144,39944204,39944205,49961147,61439168,74218573,87823086,100986224,86993360,258843786,101796291,87823081,74218568,61439165,61439166,74218569,86955617,100939371,114993628,128895791,142247609,146270770,146270771,146270763,133040782,119210254,105018263,90839252,90839251,90839263,76960039,63848478,257173029,32798513,25098211,25098212,32798516,27259856,27259857,32798468,32798467,32965585,255647755,18673809,25243777,32965583,41904808,52242044,64089562,77234054,91149940,258461892,259722228,138872266,125539618,111733412,97811316,83952155,70425541,57730975,268525114,36521386,28056230,254676188,267957185,4253612,5924742,5374266,3304675,2925754,1697176,1697177,2925756,4855037,254322337,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460191,2533903,4237999,4237438,2533517,2533516,4237437,5952244,6794618,6794616,4260268,4260267,6794614,10325769,255364565,20060198,255322274,14370919,9876878,6488686,4065817,4065818,6488689,9876883,14370925,14389717,14389718,20057084,20049736,14370923,14370922,255056426,9895185,6502695,4074717,4074719,4065837,2433041,1407239,800766,800767,1407243,2433051,4065855,2436022,2436020,4071057,6496980,7199121,10887038,10889502,10889503,10881403,10881400,14336254,15718314,10881405,10881404,9892858,6500848,6500849,9892861,9893914,6501721,6501722,9893919,14388158,20049906,15722880,10886259,7198489,4535167,2726107,2726105,4077651,4077648,6507078,7204784,4539145,2728311,2728313,4539147,7204787,10894076,10882067,7194878,4532677,4532678,7194880,10882069,7374418,4658836,2806822,2806820,3069929,5065815,7374602,7374601,268082847,9882175,7196642,4533926,2725432,2725430,1579232,1579234,2725483,2434191,1407781,1407783,2434199,4067974,6492254,9881660,268173885,26945493,35026345,44401669,55249450,257425046,51903624,51903625,63710347,257425048,104848706,259286144,146071149,158437798,169804932,179987818,188949476,263486240,213506121,217254265 Dl.O(d2) = 71202014,84771429,98700192,112696239,126560422,139924342,143764149,130437366,116595141,102493288,88486692,74851079,62052947,257468324,40524234,36509250,28045542,28045541,36509249,46367473,41151123,41151126,51336491,63017478,63017480,51336494,41151129,41151128,41165913,42262066,33282266,32351765,32351764,24735824,18262628,18262627,24735822,32351770,41166769,47781060,268020296,29288693,37857365,47781061,49091497,60494756,60494750,49091490,39161755,39161754,49091495,49961140,39944202,31269405,23784189,23784190,31269407,39944206,49961148,61439170,61439161,49961144,39944204,39944205,49961147,61439168,74218573,87823086,100986224,86993360,258843786,101796291,87823081,74218568,61439165,61439166,74218569,86955617,100939371,114993628,128895791,142247609,146270770,146270771,146270763,133040782,119210254,105018263,90839252,90839251,90839263,76960039,63848478,257173029,32798513,25098211,25098212,32798516,27259856,27259857,32798468,32798467,32965585,255647755,18673809,25243777,32965583,41904808,52242044,64089562,77234054,91149940,258461892,259722228,138872266,125539618,111733412,97811316,83952155,70425541,57730975,268525114,36521386,28056230,254676188,267957185,4253612,5924742,5374266,3304675,2925754,1697176,1697177,2925756,4855037,254322337,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460191,2533903,4237999,4237438,2533517,2533516,4237437,5952244,6794618,6794616,4260268,4260267,6794614,10325769,255364565,20060198,255322274,14370919,9876878,6488686,4065817,4065818,6488689,9876883,14370925,14389717,14389718,20057084,20049736,14370923,14370922,255056426,9895185,6502695,4074717,4074719,4065837,2433041,1407239,800766,800767,1407243,2433051,4065855,2436022,2436020,4071057,6496980,7199121,10887038,10889502,10889503,10881403,10881400,14336254,15718314,10881405,10881404,9892858,6500848,6500849,9892861,9893914,6501721,6501722,9893919,14388158,20049906,15722880,10886259,7198489,4535167,2726107,2726105,4077651,4077648,6507078,7204784,4539145,2728311,2728313,4539147,7204787,10894076,10882067,7194878,4532677,4532678,7194880,10882069,7374418,4658836,2806822,2806820,3069929,5065815,7374602,7374601,268082847,9882175,7196642,4533926,2725432,2725430,1579232,1579234,2725483,2434191,1407781,1407783,2434199,4067974,6492254,9881660,268173885,26945493,35026345,44401669,55249450,257425046,51903624,51903625,63710347,257425048,104848706,259286144,146071149,158437798,169804932,179987818,188949476,263486240,213506121,217254265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163974, s2 = 1722719, dlinesl.size( ) = 2 s1 = 14163974, s2 = 1722719, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163974, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 6683846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6683846, s2 = 1135010, int(edited[s2]) = 0 s1 = 6683846, s2 = 1135010, d1 = 24, d2 = 3 Dl.O(d1) = 257306409 Dl.O(d2) = 29102032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6683846, s2 = 1135010, dlinesl.size( ) = 2 s1 = 6683846, s2 = 1135010, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6683846, Dl.E( ) = 48, 1.91e-05 seconds used appending s1 = 6622157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6622157, s2 = 5267899, int(edited[s2]) = 0 s1 = 6622157, s2 = 5267899, d1 = 100, d2 = 215 Dl.O(d1) = 256635912 Dl.O(d2) = 215438409,265171447,265843997,266212981,232484581,274402318,265539462,265843994,226266983,265364071,218823572,274087932,200269725,264465719,215438408,274266663,274508405,232484584,266317014,266100022,229746507,265977041,231189866,232484581,265977042,265697894,274266658,221685053,265697897,224137998,265171445,215438406,264465717 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6540090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6540090, s2 = 15515110, int(edited[s2]) = 0 s1 = 6540090, s2 = 15515110, d1 = 167, d2 = 197 Dl.O(d1) = 4074436,6502325,9894695,14388894,255741785 Dl.O(d2) = 258715712,98424176,84502544,84502543,98424098,98424097,84502467,70938373,70938374,84502468,98424100,103412969,89319684,259574083,98925716,103412972,89319686,75561837,62622936,62622937,58071374,46699265,36816498,36816499,46699267,58071375,58071376,70788661,84347534,98254901,112232978,98254903,84347535,84347536,98254904,112232982,126087955,139458202,126087956,112232975,98254899,98254900,112232977,98254902,84347535,84347536,98254904,112232982,112232974,98254899,84347533,84347534,271295397,98254902,84347535,84347536,98254904,112232981,112232975,98254899,98254900,112232976,126087958,139458205,152181941,141096396,127742668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6540090, s2 = 15515110, dlinesl.size( ) = 2 s1 = 6540090, s2 = 15515110, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6540090, Dl.E( ) = 198, 6.1e-05 seconds used appending s1 = 8285898, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8811484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1378003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9704120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704120, s2 = 14067288, int(edited[s2]) = 0 s1 = 9704120, s2 = 14067288, d1 = 4, d2 = 7 Dl.O(d1) = 254143251,255228633,24764900,256594623,51398538,63090670,76091479,259600287,104018449,118174634,131991877,145225831,157635098,169077205,179348240,188386479,187824991,263284073,168389455,156935353,144537192,131316117,117520313,103395557,258946689,62612756,50990676,256574123,24510385,18081162,12818886,12818885,18081160,24510380,268301758,50990664,62612749,75550577,89306209,103395553,117520311,131316113,144537184,156935350,261990952,187824989,193375255,185045949,175507237,273107260,152925305,140235022,126886787,126886786,260549222,113033589,259948816,85119985,71548982,58820788,258080037,85119987,99045008,113033590,126886789,140235026,152925306,154340721,141688679,128339269,114462421,100438069,86480980,72885788,60149506,48755232,38835218,30251501,22856722,16630945,16630946,22856718,30251499,38835214,48755229,60149504,72885785,86480978,100438068,114462419,261217725,154340719,262752747,162525382,150394553,261481188,109426415,95170089,81111670,259077180,55306478,44461433,44461432,35086150,27001313 Dl.O(d2) = 14422602,14422603,10653267,7034523,4425751,4425753,6519760,4085063,2444057,2444056,2463435,1423973,1423974,2463437,4118541,6574835,9920072,6519751,4085059,4085060,6519753,6530163,9935675,268006684,5970008,9123457,9413411,9413412,7758723,7758722,9413226,254916215,6994657,6994655,6234651,3903263,2337532,2337535,3903235,6234596,5971571,5971574,8374893,9165321,8695602,8695601,12790448,14419143,11209719,7437800,4699770,4699771,267974669,16136926,13135180,13135181,18488818,25018914,23932907,17590356,12416254,12416255,17590361,22152512,16032574,11132149,7384035,7384036,11132155,16032585,22152531,17590422,17590424,23933017,31423352,23932956,18781733,18781735,25364773,22969436,16733598,16733597,22969428,30370947,33098292,28651843,21409164,21409166,28651848,37169040,33097693,33097692,38055241,29491280,22152424,22152425,18050126,12795968,12795966,18050118,23932841,23932851,20232641,20232643,25364644,18781650,18781649,25209802,25209803,29491382,29491383,38055343,29491410,29491362,22152473,22152472,22152522,255244103,8995912,5873231,5873232,8995916,13196197,255244101,21434023,21434022,21434033,28683618,27936358,20783331,20783330,27936354,27936341,20783324,20783323,27936336,36380562,46210862,42141709,41745930,32825135,25120869,25120870,32825138,31832534,24314189,24314190,31832539,38571080,41745911,48173144,47103989,47103904,47103903,47103959,46210841,39476244,30872346,23443480,20783320,14895819,10242457,10242458,14895817,20783312,27936322,36380535,46210832,57526259,48484471,38571095,30000351,30000352,28683423,22630776,18841294,18841291,25437279,33182245,42141660,42141246,42141245,42141294,33181948,255663063,18841213,25437108,256642541,52499949,52499799,42141598,33182198,33182200,31637050,24129943,24129942,25437025,33181810,25437142,18841230,13423747,9177931,6007050,6007049,9177926,13423734,18841206,25437095,25437273,33182238,42141655,42141420,42141204,42141200,42141425,42141208,42141207,48484448,42141678,33182257,33182258,35040791,32825680,32825597,25121407,18569838,18569839,25121411,32825602,41746318,38570998,38571000,33181833,33181831,42141137,52499842,48173159,48173158,52499860,60270131,50353518,40326507,40326512,33181800,33181799,42141088,42141069,42141072,33181971,25437122,25437065,18841188,18841187,25437059,33181868,42141187,48484414,52060582,52060583,42141581,42141583,48877972,38958813,38958814,42141635,33182217,25437260,25437262,33182225,32825692,25121455,18569861,13196035,8995835,8995836,13196043,18569876,25121482,32825749,41746267,41746298,37207444,32825628,32825629,41746374,42141211,33181883,256642537,52499897,64374222,55248762,44400965,35025750,26945027,20059800,20059799,26945021,35025738,44400941,35026014,33321771,25559747,18946911,13510213,13510212,18946907,25559737,33321745,42302520,47813423,47813421,55249070,55249071,52689256,52689255,47375018,37468221,37468222,47375024,48483798,38570494,29999763,29999764,38570495,48483991,47375225,37468430,37468431,44781091,48484273,38570808,30000086,22630692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9704120, s2 = 14067288, dlinesl.size( ) = 2 s1 = 9704120, s2 = 14067288, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9704120, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8207773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15084784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15084784, s2 = 10214923, int(edited[s2]) = 0 s1 = 15084784, s2 = 10214923, d1 = 1, d2 = 1 Dl.O(d1) = 267747424,15422343,16751037,22989395,254625496,30392747,22989391,16751032,16751030,22989388,30392741,255612180,38979980,48901162,38979979,256076380,24377770,24377771,31909315,24377768,24377769,31909317,40623622,38979977,38979978,30392766,256454303,257130514,38979981,48901178,60295840,259433747,86635231,260194918,60295833,48901173,48901174,60295835,73033699,86635225,100602102,114639674,100602100,100602101,114639676,261226599,154532199,262760339,273465801,171783809,181759352,190502536,264085167,209838925,209838924,208172748,202421246,195576425,187570695,178374360,167954069,167954068,178374358,167954070,156381946,143865698,260760204,116712738,116712737,102616579,88609994,88609993,260162646,88609995,74967920,62156347,50647332,257695009,74967916,88609992,102616576,116712735,130547448,143865697,155731712,143865691,130547440,116712730,260731910,102616572,102616571,88609987,74967905,62156335,50647322,50647323,50647324,268692916,31888793,255598208,17966056,24361090,31888791,40597507,31888794,24361092,17966057,268266497,257111577,62156350,268115404,34606478,26618509,255188256,43877072,54619499,66877393,58147810,58147809,70861839,84419105,257081640,62156348,257664790,257664792,257664794,108652258,94364161,80307477,66877906,54620054,43877720,256199595,19809417,14189400,14189399,255727135,34607067,43877723,34607069,34607068,43877721,54620056,270110489,94364165,94364163,80307478,80307479,77344396,64197102,64197101,77344394,91264327,105486827,105486829,105486826,105486825,119725997,133600195,261427481,262463307,272696875,133600196,133600197,146857690,159231014,170568633,180699954,273492609,173189000,162087140,149873567,136731104,122899202,108634818,94347421,259760437,94347416,258502657,66861824,80291166,80291162,66861821,66861822,258160722,44483115,35106286,35106287,44483116,44482933,35106169,27020549,20129190,14436880,9930877,9930878,14436883,20129047,14436777,14436776,20129043,20129221,20129222,21377684,21377683,28613321,35105924,35105923,37124203,44482948,44482946,35106184,27020565,20129209,14436892,9930884,9930883,7642767,4835091,4835093,7642768,11491063,16492749,22694824,256429063,30075299,30075301,38651614,35105870,35105871,35105876,44482578,35105856,27020336,20129040,14436772,9930803,6526576,6526575,9930800,14436766,20129022,27020311,35105875,257312321,67668473,55329808,255746332,27021377,20129846,20129847,27021379,35105905,27020333,27020332,27020509,20129240,254976841,9930899,9931458,6527039,4089550,4089552,6527041,6526676,6526677,9930938,9930505,9930504,14436295,14437666,20128300,27019301,27020504,20129158,14436861,9930865,9930867,9931195,9931196,14437342,20129854,27020890,35106333,27020673,20129299,20129298,27020575,20129217,14436898,14436897,20129211,20129850,14437339,9931191,9931190,14437337,18271665,24744916,27020514,20129166,20129128,255746277,255746328,27019258,27020589,20129843,14437335,14437333,20129839,20130248,20130249,20129137,14436844,14436843,20129132,27019474,27019475,20129823,14437317,14437316,20129813,14437310,9931173,6526832,4089416,2446449,2446447,4089413,6526823,9931158,14437284,20129784,256221311,20129824,255746361,35107135,269193067,44483996,35107084,27021318,20129790,20129787,20129786,20129794,20129796,27021322,27019897,20128728,14436575,254690483,6526489,9930686,14436577,20128732,20129329,20129332,27019744,20128590,14436491,9930641,6526462,4089149,2446295,2446293,4089168,6526481,9930678,14436556,20128706,27019879,27021329,35107100,44484014,44481487,44481486,44481861,35105216,27019778,20128622,20128621,14436605,14436604,14436513,9930655,9930656,14436519,20128643,27019809,20128840,14436646,9930727,6526516,4089195,2446311,2446309,4089192,6526515,9930725,14436640,20128835,20129377,20129376,27020771,35106447,44483294,55329441,55329438,44483290,35106444,27020767,20129373,20128703,14436553,14436552,20128700,27019876,35104936,27019587,20128509,20128510,27019592,35104944,44480979,44481853,35105211,35105210,27019948,20128754,14436590,268175443,27019941,35105261,44481918,44481806,35105170,27019739,20128589,20128588,20128814,20128815,27020031,35105534,44482223,55328134,44482077,35105396,35105394,44482074,35105528,35105527,44482215,44481928,44481927,35106921,35106920,44483796,55329878,55329826,44483745,35106878,35106870,27021150,20129669,14437215,9931116,9931118,14437219,20129676,27019286,27019287,35104557,44480991,44481905,35105253,35105254,44481654,35105060,27019668,27019669,35105063,35106975,27021235,20129728,20129726,27021230,35106977,44483872,55328469,55327134,55327132,67667001,81133640,81134756,67668320,55328532,44482440,35105710,35105711,44482443,55328534,67668322,81134760,95192529,109447992,100828819,86847627,86847628,100828821,95094479,95094480,109348457,109447964,95192461,81134667,258532379,55328479,55328478,67666983,67666984,81133621,81135165,259161397,81133597,67668842,55329032,55329031,67668839,81135267,86847651,86847650,86085546,86085547,100048162,270847227,259396193,259280402,86847622,81134015,257911877,44481419,35104887,27019545,20128475,20128473,27019541,35104880,44481402,55327507,67667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89,30872694,37365299,28825018,21554365,15534198,10743205,7097847,7097848,10743206,15534199,21554366,24422880,24422881,18011165,12764488,8675130,254883003,18010566,18011203,18011202,24423326,31976519,27027606,27027607,20135016,14441153,9933992,6528924,4090914,4090915,6528926,9933995,14441160,14441161,9933997,9933996,6528930,4090917,4090916,6528928,9933998 Dl.O(d2) = 267747424,15422343,16751037,22989395,254625496,30392747,22989391,16751032,16751030,22989388,30392741,255612180,38979980,48901162,38979979,256076380,24377770,24377771,31909315,24377768,24377769,31909317,40623622,38979977,38979978,30392766,256454303,257130514,38979981,48901178,60295840,259433747,86635231,260194918,60295833,48901173,48901174,60295835,73033699,86635225,100602102,114639674,100602100,100602101,114639676,261226599,154532199,262760339,273465801,171783809,181759352,190502536,264085167,209838925,209838924,208172748,202421246,195576425,187570695,178374360,167954069,167954068,178374358,167954070,156381946,143865698,260760204,116712738,116712737,102616579,88609994,88609993,260162646,88609995,74967920,62156347,50647332,257695009,74967916,88609992,102616576,116712735,130547448,143865697,155731712,143865691,130547440,116712730,260731910,102616572,102616571,88609987,74967905,62156335,50647322,50647323,50647324,268692916,31888793,255598208,17966056,24361090,31888791,40597507,31888794,24361092,17966057,268266497,257111577,62156350,268115404,34606478,26618509,255188256,43877072,54619499,66877393,58147810,58147809,70861839,84419105,257081640,62156348,257664790,257664792,257664794,108652258,94364161,80307477,66877906,54620054,43877720,256199595,19809417,14189400,14189399,255727135,34607067,43877723,34607069,34607068,43877721,54620056,270110489,94364165,94364163,80307478,80307479,77344396,64197102,64197101,77344394,91264327,105486827,105486829,105486826,105486825,119725997,133600195,261427481,262463307,272696875,133600196,133600197,146857690,159231014,170568633,180699954,273492609,173189000,162087140,149873567,136731104,122899202,108634818,94347421,259760437,94347416,258502657,66861824,80291166,80291162,66861821,66861822,258160722,44483115,35106286,35106287,44483116,44482933,35106169,27020549,20129190,14436880,9930877,9930878,14436883,20129047,14436777,14436776,20129043,20129221,20129222,21377684,21377683,28613321,35105924,35105923,37124203,44482948,44482946,35106184,27020565,20129209,14436892,9930884,9930883,7642767,4835091,4835093,7642768,11491063,16492749,22694824,256429063,30075299,30075301,38651614,35105870,35105871,35105876,44482578,35105856,27020336,20129040,14436772,9930803,6526576,6526575,9930800,14436766,20129022,27020311,35105875,257312321,67668473,55329808,255746332,27021377,20129846,20129847,27021379,35105905,27020333,27020332,27020509,20129240,254976841,9930899,9931458,6527039,4089550,4089552,6527041,6526676,6526677,9930938,9930505,9930504,14436295,14437666,20128300,27019301,27020504,20129158,14436861,9930865,9930867,9931195,9931196,14437342,20129854,27020890,35106333,27020673,20129299,20129298,27020575,20129217,14436898,14436897,20129211,20129850,14437339,9931191,9931190,14437337,18271665,24744916,27020514,20129166,20129128,255746277,255746328,27019258,27020589,20129843,14437335,14437333,20129839,20130248,20130249,20129137,14436844,14436843,20129132,27019474,27019475,20129823,14437317,14437316,20129813,14437310,9931173,6526832,4089416,2446449,2446447,4089413,6526823,9931158,14437284,20129784,256221311,20129824,255746361,35107135,269193067,44483996,35107084,27021318,20129790,20129787,20129786,20129794,20129796,27021322,27019897,20128728,14436575,254690483,6526489,9930686,14436577,20128732,20129329,20129332,27019744,20128590,14436491,9930641,6526462,4089149,2446295,2446293,4089168,6526481,9930678,14436556,20128706,27019879,27021329,35107100,44484014,44481487,44481486,44481861,35105216,27019778,20128622,20128621,14436605,14436604,14436513,9930655,9930656,14436519,20128643,27019809,20128840,14436646,9930727,6526516,4089195,2446311,2446309,4089192,6526515,9930725,14436640,20128835,20129377,20129376,27020771,35106447,44483294,55329441,55329438,44483290,35106444,27020767,20129373,20128703,14436553,14436552,20128700,27019876,35104936,27019587,20128509,20128510,27019592,35104944,44480979,44481853,35105211,35105210,27019948,20128754,14436590,268175443,27019941,35105261,44481918,44481806,35105170,27019739,20128589,20128588,20128814,20128815,27020031,35105534,44482223,55328134,44482077,35105396,35105394,44482074,35105528,35105527,44482215,44481928,44481927,35106921,35106920,44483796,55329878,55329826,44483745,35106878,35106870,27021150,20129669,14437215,9931116,9931118,14437219,20129676,27019286,27019287,35104557,44480991,44481905,35105253,35105254,44481654,35105060,27019668,27019669,35105063,35106975,27021235,20129728,20129726,27021230,35106977,44483872,55328469,55327134,55327132,67667001,81133640,81134756,67668320,55328532,44482440,35105710,35105711,44482443,55328534,67668322,81134760,95192529,109447992,100828819,86847627,86847628,100828821,95094479,95094480,109348457,109447964,95192461,81134667,258532379,55328479,55328478,67666983,67666984,81133621,81135165,259161397,81133597,67668842,55329032,55329031,67668839,81135267,86847651,86847650,86085546,86085547,100048162,270847227,259396193,259280402,86847622,81134015,257911877,44481419,35104887,27019545,20128475,20128473,27019541,35104880,44481402,55327507,67667353,81133997,81133317,67666667,55326838,44480838,44480839,55326840,67666672,60487754,60487753,73234610,86847582,86847596,73234619,60487758,258821455,81133993,81265274,84396404,70838963,58124226,46755706,36876873,28380417,28380418,36876875,46755710,258029041,67666657,271170136,20128221,27019201,35104429,44480840,257911803,81133325,84396356,70838919,58124203,46755689,36876863,36876862,46755687,58124201,70838915,84396349,84396401,70838958,70838957,67667350,55327505,55327504,258532319,259789005,123640673,261236736,81133309,67666661,55326836,257911801,55327257,67667179,81133848,95191886,81134595,67668142,67667105,55327214,44481127,35104637,27019331,27019329,35104630,44481112,55327196,67667077,67666942,55327097,44481038,35104589,35104590,44481044,55327106,67666961,55328970,44482862,35106108,35106107,44482856,55328967,67668755,73234631,258821461,100828814,259161430,95191782,257312210,86085621,72488274,72488276,86085623,100048209,114074624,127954754,141314443,153984914,261556488,260407323,259167233,81204597,95260531,271170134,95192124,81134152,67667572,67667571,67667583,67667582,81134161,81134163,90280649,259161439,81133969,81133968,81133967,86847563,84396344,81134275,67667752,67667753,258532333,67667581,67667577,257911866,44481616,55327729,67667575,81133970,67667329,55327489,44481388,38469925,38469924,48371570,55225160,44374392,34996209,26914873,26914871,29912027,38469932,44483035,257312371,258532260,67668111,67668112,81134169,259789015,258532401,67668337,270137523,67667329,55327489,44481388,38469925,268407899,22554905,29912027,38469932,44483035,257312371,258532260,67668111,67668112,81134169,259789015,258532401,67668337,55329835,55329836,67669542,67666859,67666860,67669733,67669732,270660235,55328367,268828091,27020107,27020106,35105620,44482322,55328362,67668118,81134575,81135909,73234554,70697043,57979149,57979148,55328434,47614792,37689870,37689872,47614797,59018808,71762743,67668137,55328373,44482331,35105627,27020109,27020108,35105626,44482329,55328369,55330000,257410132,95193525,81136193,81136192,259789113,104215447,90083457,90083456,104215445,118374699,123640750,109447670,259789103,95193549,259161551,81135338,95193003,109448346,123641166,111838353,111838352,109448274,260401763,95191773,81133737,67667098,55327207,55327206,67667096,81133736,95191771,258532371,63671752,63671753,76764371,90629706,104800014,118990299,260820869,109448980,109448979,123641727,109580324,270797890,67797162,258542007,95193786,95193790,95193512,81136252,81136048,67669715,55330015,44483956,35107044,27021281,27021282,35107050,44483961,55330022,67669724,81136059,95193563,109448733,109447898,95192371,81134564,81134566,86847599,100828795,95191933,258532309,67667259,81133916,95191931,109447664,109447794,123640808,123641440,123641439,137373206,137373497,137372726,123640894,109447946,109447893,260401789,137372706,126147648,112287740,109448981,95193773,95193774,95193781,81136237,67669864,259161599,109448982,104215447,90083457,90083456,104215445,118374699,123640750,109447670,259789103,95193549,259161551,81135338,95193003,109448346,123641166,111838353,111838352,109448274,260401763,95191773,81133737,67667098,55327207,55327206,67667096,81133736,95191771,258532371,63671752,63671753,76764373,90629713,90083431,76271325,63252074,51535397,51535398,63252078,76271330,258644700,51535400,51535399,44482385,35105675,27020157,20128912,20128911,268549621,44482383,270361512,36579329,32469296,24829882,256087407,268720533,32469270,256819137,36579326,46444407,57799599,70500444,76271253,63252046,51535377,41314583,257152855,63252043,63252034,51535372,51535371,63252032,258980883,76271261,71768423,59024765,59024764,71768421,85358652,99303759,259259958,112953480,98964291,258425722,120289522,106089086,91894174,91894172,106089084,120289519,115140311,101065138,87069451,73451900,60703641,49301951,39374934,256376226,60703645,61405338,61405339,258166782,259414960,74540874,61757087,59698499,48311546,38400789,29828539,29828515,22461240,16293346,11336218,11336219,16293348,255915303,38400756,48311520,257534878,39327892,255976693,17049156,17049154,23311345,30729757,39327885,46833824,39327891,30729763,30046531,22671230,22671229,30046529,38620311,48535371,257664122,257056782,36955495,36955494,46833820,52270435,47922588,38007165,29444144,29444146,36955503,36955504,46604311,36716190,256337395,28845747,37385893,38400770,38400769,48311532,58199858,46833812,36955493,28454847,21227686,21227684,28454844,21998095,21998094,29328378,256038926,49433045,59315851,257502828,256829815,36716193,36488743,36488742,46346117,40483916,256537718,62011659,70310152,70310154,57694830,57694829,70388492,83914809,83835190,70310153,59943715,48551485,38637006,30062935,27964262,255275362,254982952,7640082,7640083,11486734,16486255,22685451,256145542,40015360,50034153,61512384,74289146,86281750,86281751,86281765,72682709,72682707,75308609,62410636,53228652,53228653,65217232,65217238,53228660,53228661,60806118,60806119,65217244,65217201,65217200,65217249,53228671,53228670,58667064,60806114,49405576,39476672,256488789,30872694,37365299,28825018,21554365,15534198,10743205,7097847,7097848,10743206,15534199,21554366,24422880,24422881,18011165,12764488,8675130,254883003,18010566,18011203,18011202,24423326,31976519,27027606,27027607,20135016,14441153,9933992,6528924,4090914,4090915,6528926,9933995,14441160,14441161,9933997,9933996,6528930,4090917,4090916,6528928,9933998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15084784, s2 = 10214923, dlinesl.size( ) = 2 s1 = 15084784, s2 = 10214923, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15084784, Dl.E( ) = 2, 7.87e-06 seconds used appending s1 = 6792868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6792868, s2 = 10169178, int(edited[s2]) = 0 s1 = 6792868, s2 = 10169178, d1 = 2, d2 = 6 Dl.O(d1) = 258532671 Dl.O(d2) = 22895554,30294040,38879909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792868, s2 = 10169178, dlinesl.size( ) = 2 s1 = 6792868, s2 = 10169178, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6792868, Dl.E( ) = 14, 2e-05 seconds used appending s1 = 10208317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1727911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1380003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1206402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1380524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8016045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8016045, s2 = 14071830, int(edited[s2]) = 0 s1 = 8016045, s2 = 14071830, d1 = 1, d2 = 1 Dl.O(d1) = 84842928,71269028,58537442,47149131,47149132,47149129,37243879,28712962,21457549,15458085,10688123,7060740,4445322,254501583,10688125,10886114,15722769,21457569,25639770,19022987,13577953,9296896,6090115,6090117,9296890,13577939,19022966,25639740,33406418,42395618,37513922,28970598,28970600,27048810,27048808,256749051,44511460,55358164,258534829,95220459,109474435,123666296 Dl.O(d2) = 84842928,71269028,58537442,47149131,47149132,47149129,37243879,28712962,21457549,15458085,10688123,7060740,4445322,254501583,10688125,10886114,15722769,21457569,25639770,19022987,13577953,9296896,6090115,6090117,9296890,13577939,19022966,25639740,33406418,42395618,37513922,28970598,28970600,27048810,27048808,256749051,44511460,55358164,258534829,95220459,109474435,123666296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8016045, s2 = 14071830, dlinesl.size( ) = 2 s1 = 8016045, s2 = 14071830, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8016045, Dl.E( ) = 2, 1.79e-05 seconds used appending s1 = 13242609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1381461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1381864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7899409, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7564334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1382877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7816101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7816101, s2 = 8709242, int(edited[s2]) = 0 s1 = 7816101, s2 = 8709242, d1 = 13, d2 = 5 Dl.O(d1) = 837401,471920,265155,254096711,837399,1481345,2572838,268907117 Dl.O(d2) = 173517668,261557272,271659376,122893043,260283160,122893043,108628889,258413410,15839996,10976674,7265303,4581741,4581738,4701581,6406660,6406662,6408115,4020260,4020264,4020240,4020135,2408971,2408970,2408763,1393852,1393851,2408760,4019761,6407288,9744113,14173845,14173817,9744100,9744099,9744747,9747260,7440674,6412217,4022598,4022596,6412211,9752196,14186246,11214153,7440824,4701567,4701566,4767882,6407334,9744183,9749723,14182445,16629113,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,1394448,1394450,1393703,792629,792632,1393713,2408508,4019335,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394151,2409379,4020940,6409274,9747222,8661218,5634162,5634161,8661202,12744998,14594853,18445887,13103216,13103215,14184497,9751016,9751018,14184504,19802640,19796410,14180010,14177281,13340666,9114793,5963627,3729179,2232665,2232668,3729192,5963652,9114834,13340728,13151220,13151219,9744490,6407526,6407525,6581543,4123580,2466932,2466930,4123566,6581509,10013667,9748809,9748807,14180973,19052892,14174188,9747163,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7816101, s2 = 8709242, dlinesl.size( ) = 14 s1 = 1384094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656948, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8072432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8072432, s2 = 9693055, int(edited[s2]) = 0 s1 = 8072432, s2 = 9693055, d1 = 1, d2 = 1 Dl.O(d1) = 255570319,23928213,31418230,40098221,44578608,35200720,27110898,27110899,35200721,44578881,55425914,270139697,257654848,37411036,28869755,21594873,21594874,28869756,37411038,47319500,269787999,85012636,98938115,112927394,126781869,140132305,152826782,164663371,175422123,180720933,170591284,159255607,146884478,133631183,119761184,105527468,91309642,91309643,260265993,105527466,105527465 Dl.O(d2) = 255570319,23928213,31418230,40098221,44578608,35200720,27110898,27110899,35200721,44578881,55425914,270139697,257654848,37411036,28869755,21594873,21594874,28869756,37411038,47319500,269787999,85012636,98938115,112927394,126781869,140132305,152826782,164663371,175422123,180720933,170591284,159255607,146884478,133631183,119761184,105527468,91309642,91309643,260265993,105527466,105527465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8072432, s2 = 9693055, dlinesl.size( ) = 2 s1 = 8072432, s2 = 9693055, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8072432, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1733246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1733246, s2 = 6671782, int(edited[s2]) = 0 s1 = 1733246, s2 = 6671782, d1 = 45, d2 = 123 Dl.O(d1) = 44580129 Dl.O(d2) = 257174015,259004477 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1384805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1384805, s2 = 15107614, int(edited[s2]) = 0 s1 = 1384805, s2 = 15107614, d1 = 1, d2 = 1 Dl.O(d1) = 13431483,9183123,6010416,6010410,6010409,9183103,13431462,18851742,25449608,20214906,20214907,27117593,35209205,44589229,44589310,44589309,44589312,35209294,27117673,20214983,14505708,14505709,20214984,27117676,21483104,21483103,28740662,255485136,24212629,17842501,12634998,8578779,5574033,5574032,8578777,11796415,7877839,5001844,5001846,7877844,8578811,5574055,3457778,2049931,1175656,659973,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006810,11960798,17049397,20168464,19652300,14086263,14086262,12032826,8089349,8089347,9759961,9759962,14197887,19820628,17121444,17121443,23393212,28207734,28207735,30818256,30169031,254245556,16564661,19659168,22874981,22363631,22363630,16402345,16402346,11837060,7910941,5029166,5029164,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526317,10454563,8327087,8327086,6929647,6929649,10508761,15233756,16499340,16499341,22702975,30084813,38662043,48578006,59969718,59969717,59969719,72706807,63413601,51670898,51670897,51670899,41429287,32569100,32569099,41429285,38761461,38761462,43210891 Dl.O(d2) = 13431483,9183123,6010416,6010410,6010409,9183103,13431462,18851742,25449608,20214906,20214907,27117593,35209205,44589229,44589310,44589309,44589312,35209294,27117673,20214983,14505708,14505709,20214984,27117676,21483104,21483103,28740662,255485136,24212629,17842501,12634998,8578779,5574033,5574032,8578777,11796415,7877839,5001844,5001846,7877844,8578811,5574055,3457778,2049931,1175656,659973,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006810,11960798,17049397,20168464,19652300,14086263,14086262,12032826,8089349,8089347,9759961,9759962,14197887,19820628,17121444,17121443,23393212,28207734,28207735,30818256,30169031,254245556,16564661,19659168,22874981,22363631,22363630,16402345,16402346,11837060,7910941,5029166,5029164,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526317,10454563,8327087,8327086,6929647,6929649,10508761,15233756,16499340,16499341,22702975,30084813,38662043,48578006,59969718,59969717,59969719,72706807,63413601,51670898,51670897,51670899,41429287,32569100,32569099,41429285,38761461,38761462,43210891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1384805, s2 = 15107614, dlinesl.size( ) = 2 s1 = 1384805, s2 = 15107614, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1384805, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1733470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1733470, s2 = 450020, int(edited[s2]) = 0 s1 = 1733470, s2 = 450020, d1 = 16, d2 = 170 Dl.O(d1) = 44589449 Dl.O(d2) = 11408626,7580989,4794996,2890411,2890410 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6541180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1385153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6614627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6614627, s2 = 14536433, int(edited[s2]) = 0 s1 = 6614627, s2 = 14536433, d1 = 23, d2 = 7 Dl.O(d1) = 256555585 Dl.O(d2) = 67795166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6614627, s2 = 14536433, dlinesl.size( ) = 30 s1 = 6573498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6573498, s2 = 1535030, int(edited[s2]) = 0 s1 = 6573498, s2 = 1535030, d1 = 0, d2 = 0 Dl.O(d1) = 81268801,67801095,55459536,256114148,35230075,36798578,28301370,21092797,17025542,17025543,23284776,255806201,15134894,15134893,21070112,28273238,36768366,46653024,46476303,46476302,57832115,58410918,58410919,61918952,50428997,40395617,40395619,255261682,18576341,18576342,25128860,24195942,17826697,12622166,12622164,17826690,24195935,31703511,40395638,50429016,60267094,48874712,48874711,60267062,48874664,48874662,38955149,38955131,30368996,30368995,29921347,29921346,38481429,47434737,47434736,47445654,37537627,37273174,28740950,28740949,22967442,16731656,16731655,22967440,30368873,38954986,48874625,48874622,48874621,58093521,58093520,50428999,40965185,40965183,38955243,38955242,48874834,60267152,73002192,86599603,100561016,114592731,128478217,261772531,166206770,176822024,186214138,263934311,207324926,212193904,212193903,216170719,219466063,222249592,224638818,226713767,228522568,230111971,228675697,226891875,224844966,222486796,264024330 Dl.O(d2) = 81268801,67801095,55459536,256114148,35230075,36798578,28301370,21092797,17025542,17025543,23284776,255806201,15134894,15134893,21070112,28273238,36768366,46653024,46476303,46476302,57832115,58410918,58410919,61918952,50428997,40395617,40395619,255261682,18576341,18576342,25128860,24195942,17826697,12622166,12622164,17826690,24195935,31703511,40395638,50429016,60267094,48874712,48874711,60267062,48874664,48874662,38955149,38955131,30368996,30368995,29921347,29921346,38481429,47434737,47434736,47445654,37537627,37273174,28740950,28740949,22967442,16731656,16731655,22967440,30368873,38954986,48874625,48874622,48874621,58093521,58093520,50428999,40965185,40965183,38955243,38955242,48874834,60267152,73002192,86599603,100561016,114592731,128478217,261772531,166206770,176822024,186214138,263934311,207324926,212193904,212193903,216170719,219466063,222249592,224638818,226713767,228522568,230111971,228675697,226891875,224844966,222486796,264024330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6573498, s2 = 1535030, dlinesl.size( ) = 2 s1 = 6573498, s2 = 1535030, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6573498, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1734848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8247682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14543133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14543133, s2 = 1386880, int(edited[s2]) = 0 s1 = 14543133, s2 = 1386880, d1 = 0, d2 = 0 Dl.O(d1) = 25024820,18493640,13138730,13138731,18493644,25024824,32709842,33513993,254950854,13638254,13638253,19102079,25734786,32631951,32631950,31381934,23884953,23884954,31381936,35252680,27153803,27153802,35252678,35252761 Dl.O(d2) = 25024820,18493640,13138730,13138731,18493644,25024824,32709842,33513993,254950854,13638254,13638253,19102079,25734786,32631951,32631950,31381934,23884953,23884954,31381936,35252680,27153803,27153802,35252678,35252761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14543133, s2 = 1386880, dlinesl.size( ) = 2 s1 = 14543133, s2 = 1386880, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14543133, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 2093920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2093920, s2 = 7733942, int(edited[s2]) = 0 s1 = 2093920, s2 = 7733942, d1 = 44, d2 = 66 Dl.O(d1) = 55488126,44638159 Dl.O(d2) = 100830499,114881053,128777145,142130885,154763849,154763850,154763851,166469790,177051747,186408155,194563705,186730858,274007184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2093920, s2 = 7733942, dlinesl.size( ) = 2 s1 = 2093920, s2 = 7733942, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2093920, Dl.E( ) = 68, 1.62e-05 seconds used appending s1 = 10180820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180820, s2 = 14183324, int(edited[s2]) = 0 s1 = 10180820, s2 = 14183324, d1 = 18, d2 = 7 Dl.O(d1) = 18724425,25299036,33025025,37891776,37891777,47813544,52308596,52308532,41968126,255850308,25930767,25930768,29323825,255560503,17461977,23793973,31279882,33025208,25298892,19269355,19269356,25931386,33738161,39516115,30907368,30907366,33025230,25298948,255046490,255850292,25930659,33737596,25930837,25930838,256161709,19268964,13773044,9442353,6189881,3873838,3873837,6189878,9442346,13772799,13772800,255287925,11561793,254545403,4869486,6190166,3874038,2319875,2319874,3874037,6190164,6189851,3873820,2319734,1344774,1344775,2319738,3873825 Dl.O(d2) = 6571574,9999223,11806921,12752469,17991868,14531760,9999198,9999199,14531764,16876839,14531389,11807197,11807198,14531398,9998933,6571397,4116560,2462259,1423266,1423265,2462255,4116553,5008625,7886413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180820, s2 = 14183324, dlinesl.size( ) = 2 s1 = 10180820, s2 = 14183324, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10180820, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 7885133, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1737178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8445034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8445034, s2 = 3807375, int(edited[s2]) = 0 s1 = 8445034, s2 = 3807375, d1 = 8, d2 = 11 Dl.O(d1) = 74379962,259513323,116000132,129898173,143227424,155777993,167408474,170574168,170574169,180705014,261655504,146863734,133607048,119733472,105495107,91272887,81539847,68053013,64205231,64205230,77352948,81539850,68053017,55656273,44748134,35322106,35322105,44748132,55656270,68053012,55656276,44748137 Dl.O(d2) = 152373,152376,151930,151935,274581,488732,866229,1527252,2643199,4408675,7012276,10624543,15375345,21351405,28580907,37085461,29106416,21807813,21807812,21807958,15746557,10905858,10624540,10624541,15375341,21351399,15746836,15746837,21808315,29107019,37656693,47562749,58945635,71666853,85231953,71667285,71667286,85232278,99154432,99154429,99154430,271784561,261131209,262197935,175548644,185081458,189983360,181121034,171017318,159703535,147356833,146302103,134146481,120317619,120317617,106119401,91926915,78005189,78005190,91926917,106119405,120317621,133074540,119244442,105051627,90872331,90872330,105051625,119244438,261414221,134146471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8445034, s2 = 3807375, dlinesl.size( ) = 6 s1 = 1737421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162398, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8114181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1013592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1013592, s2 = 14012200, int(edited[s2]) = 0 s1 = 1013592, s2 = 14012200, d1 = 138, d2 = 118 Dl.O(d1) = 25594360,20283978,14554151,14554152,255758691,256762575,55672308,270153795 Dl.O(d2) = 271607884,269526115,65061192,53078834,256671149,25808509,19160833,255687979,33606380,42631321,53078826,65061189,78339997,257820611,258437635,78339996,92372917,271607884,269526115,65061192,53078834,53078833,53078839,65061201,65061200,65061199,65061181,65061180,65061188,53078825,42631333,33606385,33606376,33606375,42631314,53078817,53078837,53078844,53078843,42631340,33606390,33606389,42631329,42631328,53078836,65061194,270020741,53078835,53078836,65061194,270020741,53078850,53078849,258437639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1013592, s2 = 14012200, dlinesl.size( ) = 50 s1 = 14333257, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7945942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7945942, s2 = 8235347, int(edited[s2]) = 0 s1 = 7945942, s2 = 8235347, d1 = 10, d2 = 10 Dl.O(d1) = 58808952,47421713,47421714,47773272,256370981,29282278,37850212,29955998,22591763,22591762,28970685,28970686,28970716,28970717,28970701,21688829,21688830,28970704,37514035,29282265,29282266,37850198,47421712,38097615,37514047,268389595,21688836,28970713,37514050,39713253,39713254,48428526,39713255,31035987,31035988,38097614,29533557,22190528,16062681,16062682,22190530,29533561,38097620,48009120,59397339,59397331,48009115,38097617,38097618,48009116,59397334,60668034,49268064,49268063,60668033,73415204,87032690,99436704,85495143,71910131,59437185,48045292,48045291,59437182,72175602,85495145,85495144,85769735,99723526,113737788,113673242,99660594,85712919,85712920,99660596,85769736,85769737,85769726,72175582,59437157,48045273,38131862,38131861,48045272,59437156,72175580,85769723,257547920,85109432,87032676,101029016,99723508,85769707,72175564,59437143,48045254,48045255,48045257,48045256,39342434,30743445,23322674,23322625,23322624,29566009,29566008,38131874,48045296,49268031,44811169,35386655,35386656,44811172,55717689,49037459,39907075,39907074,49926535,61406109,61322949,49839609,39816012,39816013,49805072,61283370,55717686,55717687,60441425,61406110,74185934,81602778,68114078,61406178,49926615,49926616,61406181,61406142,49926575,39907117,31230537,23746881,17421584,17421583,23746870,23746866,23746867,31230521,31230532,255592578,12279220,12279221,17421663,23746846,17421669,12279225,12279226,12279178,8292769,8292768,255168789,23746920,18579016,13203285,13203286,18579017,25132031,25271240,25271241,30054538,26628227,22393110,16233385,16233384,18576167,13201179,13201178,18576163,13493023,9758024,9758023,6416113,6416114,9415859,9415860,8415649,5431098,3338620,3338618,5431086,8415621,12447330,17627175,15760989,15760988,15893899,21991317,29320094,33216728,42175451,36419883,27961731,27961730,29320072,254985134,15893891,21991307,29320081,37888467,42731468,33701696,33701697,268300592,256658022,40499456,40499457,47920581,47920580,255912588,33301414,25539260,25539261,33300554,33301258,25539106,25539107,33301261,42282519,50180440,40155577,40155578,31471460,31471459,40155580,256544022,24133283,24133282,25469989,255681158,33993231,26151738,26151739,31752462,24240652,24240651,28950794,21670967,21670968,28327655,21117535,15171016,10463198,10463194,15171001,21117508,28327602,25752501,19114453,13646887,9344841,9344844,11017072,10408055,6860824,6860825,10408058,13847050,13847054,19359113,21011526,21993067,15895068,11018826,7294624,4600304,4600305,7294630,11018839,15894991,21992948,21992966,15895000,15894999,21992964,29321894,25787986,25787985,21670927,21670926,28950734,37433430,28891924,21615704,21615705,26157621,19458245,13925305,13925307,17736602,12549484,8508645,8508646,12549479,17736590,21118775,15893209,254659190,7294077,11017777,15893205,21011299,28203072,29318689,22671592,16475586,255706759,13926420,9558808,6272157,3927075,254459197,254930948,19459842,19428463,13901074,13901073,11018894,11018895,13906588,9544165,9544164,13906586,19434953,26129912,25621456,25621458,33387053,33958775,43015655,49926524,39907058,31230471,23746820,17421539,17421538,23629655,17313720,12189239,8219590,8219591,12189242,17313724,23629658,31116215,39796742,44763682,41406017,32547967,255631809,255382536,20284539,20284540,27213035,27242203,20311431,254489962,28242911,28242913,22147199,16028223,11128832,11128833,16028227,254489384,15336511,10592469,10592468,15336507,21305899,21120849,20311284,14576341,10030151,6591884,4129722,2470358,2470357,4129756,6591949,10030296,14576457,14576458,15178190,10591269,10591271,15334919,15175396,10467767,10265634,10265633,14928662,10425840,10425839,15114991,15890729,15335927,15109302,10421631,6870682,4312606,4312607,6870685,10421638,10438173,15134377,11086822,11086823,10030192,10030193,10470139,10470138,15179632,21035103,21035104,15179137,10469500,10469501,10469510,15179144,15338308,10593881,6988665,6988664,254328728,15175442,15175443,15181624,10471777,6904481,254156274,6988683,4391614,4391603,4391604,6988672,10438142,6988881,4391794,254084634,10594087,15338226,15179173,15114953,10483795,10483796,10440436,6902051,4334933,2594711,254328807,2590952,267763380,4331213,4331215,4335442,4335441,6874194,6902162,10467831,6900377,6900375,6912148,4341198,4341197,6900274,6900293,4391451,2631215,1519357,861470,486254,486251,861457,1519329,1488314,1488316,1495500,2592909,2592914,2592913,1495607,847484,847483,1495602,848702,848704,849743,1496698,2594765,4334992,6900232,4332192,254119130,4332702,2592924,2592923,4332106,2592449,1495218,1495219,1495575,847463,478589,478590,847471,847807,1496190,847962,847961,1496449,2594413,2595582,1499594,849915,849911,1499581,2599293,4341446,6903138,4336097,2595687,2595688,4336099,254096790,2597691,1498546,1498545,2597690,4339117,6896542,267785238,2595881,1497416,1497415,2595879,4336292,6745663,4226839,2527358,1456583,1456582,1084829,1084828,1900483,2586867,1491248,1491249,2586869,2592940,1495518,1495519,2592941,4332730,6900812,10468280,15178043,21126756,20988942,15075887,15075886,20988939,256287683,46512400,57868825,58484957,71206863,84775994,87225901,73603765,73603766,257909038,73234355,86847318,100828549,99153744,85231559,84107726,70570839,70570840,84107727,85231553,85231554,86847322,86847321,87225907,73603769,73603770,87225909,101226854,112271466,98289762,98289763,84607059,84607058,98531580,87125960,87125961,84380705,70822125,58105690,58105689,70822123,73398263,73398262,84607053,84607052,73507074,73507075,73507066,60757909,49354751,39425058,30820294,23391586,23391587,30820295,39425061,49354754,49354764,58327701,46960403,37079714,28575735,21346893,21346892,28575734,37079712,46960399,58327699,46960406,37079716,28575739,21346894,21346896,28575745,37079728,30820292,23391585,23391584,30820290,256484501,30820286,39425051,47106781,49354804,39425096,39425097,49354806,57624734,46280067,36426958,36426957,46280064,57624730,58327725,71043189,71206942,58485063,58327678,46960377,37079701,28575726,256318127,46960379,58327680,47106774,47106775,58484980,58327711,58327710,47106806,37210048,28685896,28685895,37210046,37210118,47106786,47106785,58484984,71206894,58485016,58485017,71206907,58484995,47106792,47106791,58484992,58485073,58485072,58485076,71206946,71206882,58485089,47106899,47106900,258057441,71043185,58327715,47106898,47106897,58485086,71206937,58485045,47106838,47106837,58485043,71206934,71206968,58485106,47106911,47106912,257446733,37210148,37210147,47106924,50207823,49199872,39273649,30677173,30677175,37210023,28685884,28685883,37210020,257446719,71206881,84776009,84776053,84775999,84776000,84776012,71206887,58484975,58484974,71206885,84230474,84776063,71206966,60600533,49199900,49199901,60600507,71206975,71206974,73345639,70677037,57958247,46581685,46581686,57958214,48935874,48935875,40108541,36695183,28204692,28204691,36695181,30423014,30423015,36695195,36695194,255800778,21012517,21012512,15091598,15091599,21012515,28204739,36695248,39012531,256999939,48935862,39012449,39012450,39012441,39012440,48935853,39012543,30423141,23017921,255127623,7831667,4971382,3002795,1743881,1743883,3002796,4971386,7831675,11730566,255511237,30423168,23017938,23017939,256455807,48935910,256500508,50051736,269411647,34641893,34641892,40335205,33168571,31604684,24101774,17743291,17743292,17794393,12595298,12595297,17794396,24112861,24112860,24196100,19701369,14126125,9718494,6393362,6393364,9718497,14126127,17771652,23319740,17055149,17055151,23319742,23319667,17055094,11964390,11964391,11744380,11744382,8471557,5475951,5475952,8471559,10746228,15538178,17704003,12585314,12585315,17772590,24088231,17730873,17730874,17769068,12574659,8528480,8528479,12574657,17769065,12621629,12621628,17826069,24195305,31702912,28416684,21194623,21194626,28416670,21194616,15230929,10506661,10506660,15230928,21194612,17836903,17770725,12575882,12575881,17770722,24134460,254413304,10899986,7208901,7208902,10899987,15738422,21797975,18832718,18832720,21087735,28294843,25077740,25077741,24817182,24817183,24167235,17799562,12599824,12599822,17799553,255553454,16543414,11530080,7670306,4853203,4853204,7670309,11530085,16171378,16171379,21799272,21062563,21062562,21068292,15133439,10437557,10437371,6880614,4318917,4318916,6880612,10437367,15133165,15853132,21941502,24081381,17724196,17724198,256034647 Dl.O(d2) = 58808952,47421713,47421714,47773272,256370981,29282278,37850212,29955998,22591763,22591762,28970685,28970686,28970716,28970717,28970701,21688829,21688830,28970704,37514035,29282265,29282266,37850198,47421712,38097615,37514047,268389595,21688836,28970713,37514050,39713253,39713254,48428526,39713255,31035987,31035988,38097614,29533557,22190528,16062681,16062682,22190530,29533561,38097620,48009120,59397339,59397331,48009115,38097617,38097618,48009116,59397334,60668034,49268064,49268063,60668033,73415204,87032690,99436704,85495143,71910131,59437185,48045292,48045291,59437182,72175602,85495145,85495144,85769735,99723526,113737788,113673242,99660594,85712919,85712920,99660596,85769736,85769737,85769726,72175582,59437157,48045273,38131862,38131861,48045272,59437156,72175580,85769723,257547920,85109432,87032676,101029016,99723508,85769707,72175564,59437143,48045254,48045255,48045257,48045256,39342434,30743445,23322674,23322625,23322624,29566009,29566008,38131874,48045296,49268031,44811169,35386655,35386656,44811172,55717689,49037459,39907075,39907074,49926535,61406109,61322949,49839609,39816012,39816013,49805072,61283370,55717686,55717687,60441425,61406110,74185934,81602778,68114078,61406178,49926615,49926616,61406181,61406142,49926575,39907117,31230537,23746881,17421584,17421583,23746870,23746866,23746867,31230521,31230532,255592578,12279220,12279221,17421663,23746846,17421669,12279225,12279226,12279178,8292769,8292768,255168789,23746920,18579016,13203285,13203286,18579017,25132031,25271240,25271241,30054538,26628227,22393110,16233385,16233384,18576167,13201179,13201178,18576163,13493023,9758024,9758023,6416113,6416114,9415859,9415860,8415649,5431098,3338620,3338618,5431086,8415621,12447330,17627175,15760989,15760988,15893899,21991317,29320094,33216728,42175451,36419883,27961731,27961730,29320072,254985134,15893891,21991307,29320081,37888467,42731468,33701696,33701697,268300592,256658022,40499456,40499457,47920581,47920580,255912588,33301414,25539260,25539261,33300554,33301258,25539106,25539107,33301261,42282519,50180440,40155577,40155578,31471460,31471459,40155580,256544022,24133283,24133282,25469989,255681158,33993231,26151738,26151739,31752462,24240652,24240651,28950794,21670967,21670968,28327655,21117535,15171016,10463198,10463194,15171001,21117508,28327602,25752501,19114453,13646887,9344841,9344844,11017072,10408055,6860824,6860825,10408058,13847050,13847054,19359113,21011526,21993067,15895068,11018826,7294624,4600304,4600305,7294630,11018839,15894991,21992948,21992966,15895000,15894999,21992964,29321894,25787986,25787985,21670927,21670926,28950734,37433430,28891924,21615704,21615705,26157621,19458245,13925305,13925307,17736602,12549484,8508645,8508646,12549479,17736590,21118775,15893209,254659190,7294077,11017777,15893205,21011299,28203072,29318689,22671592,16475586,255706759,13926420,9558808,6272157,3927075,254459197,254930948,19459842,19428463,13901074,13901073,11018894,11018895,13906588,9544165,9544164,13906586,19434953,26129912,25621456,25621458,33387053,33958775,43015655,49926524,39907058,31230471,23746820,17421539,17421538,23629655,17313720,12189239,8219590,8219591,12189242,17313724,23629658,31116215,39796742,44763682,41406017,32547967,255631809,255382536,20284539,20284540,27213035,27242203,20311431,254489962,28242911,28242913,22147199,16028223,11128832,11128833,16028227,254489384,15336511,10592469,10592468,15336507,21305899,21120849,20311284,14576341,10030151,6591884,4129722,2470358,2470357,4129756,6591949,10030296,14576457,14576458,15178190,10591269,10591271,15334919,15175396,10467767,10265634,10265633,14928662,10425840,10425839,15114991,15890729,15335927,15109302,10421631,6870682,4312606,4312607,6870685,10421638,10438173,15134377,11086822,11086823,10030192,10030193,10470139,10470138,15179632,21035103,21035104,15179137,10469500,10469501,10469510,15179144,15338308,10593881,6988665,6988664,254328728,15175442,15175443,15181624,10471777,6904481,254156274,6988683,4391614,4391603,4391604,6988672,10438142,6988881,4391794,254084634,10594087,15338226,15179173,15114953,10483795,10483796,10440436,6902051,4334933,2594711,254328807,2590952,267763380,4331213,4331215,4335442,4335441,6874194,6902162,10467831,6900377,6900375,6912148,4341198,4341197,6900274,6900293,4391451,2631215,1519357,861470,486254,486251,861457,1519329,1488314,1488316,1495500,2592909,2592914,2592913,1495607,847484,847483,1495602,848702,848704,849743,1496698,2594765,4334992,6900232,4332192,254119130,4332702,2592924,2592923,4332106,2592449,1495218,1495219,1495575,847463,478589,478590,847471,847807,1496190,847962,847961,1496449,2594413,2595582,1499594,849915,849911,1499581,2599293,4341446,6903138,4336097,2595687,2595688,4336099,254096790,2597691,1498546,1498545,2597690,4339117,6896542,267785238,2595881,1497416,1497415,2595879,4336292,6745663,4226839,2527358,1456583,1456582,1084829,1084828,1900483,2586867,1491248,1491249,2586869,2592940,1495518,1495519,2592941,4332730,6900812,10468280,15178043,21126756,20988942,15075887,15075886,20988939,256287683,46512400,57868825,58484957,71206863,84775994,87225901,73603765,73603766,257909038,73234355,86847318,100828549,99153744,85231559,84107726,70570839,70570840,84107727,85231553,85231554,86847322,86847321,87225907,73603769,73603770,87225909,101226854,112271466,98289762,98289763,84607059,84607058,98531580,87125960,87125961,84380705,70822125,58105690,58105689,70822123,73398263,73398262,84607053,84607052,73507074,73507075,73507066,60757909,49354751,39425058,30820294,23391586,23391587,30820295,39425061,49354754,49354764,58327701,46960403,37079714,28575735,21346893,21346892,28575734,37079712,46960399,58327699,46960406,37079716,28575739,21346894,21346896,28575745,37079728,30820292,23391585,23391584,30820290,256484501,30820286,39425051,47106781,49354804,39425096,39425097,49354806,57624734,46280067,36426958,36426957,46280064,57624730,58327725,71043189,71206942,58485063,58327678,46960377,37079701,28575726,256318127,46960379,58327680,47106774,47106775,58484980,58327711,58327710,47106806,37210048,28685896,28685895,37210046,37210118,47106786,47106785,58484984,71206894,58485016,58485017,71206907,58484995,47106792,47106791,58484992,58485073,58485072,58485076,71206946,71206882,58485089,47106899,47106900,258057441,71043185,58327715,47106898,47106897,58485086,71206937,58485045,47106838,47106837,58485043,71206934,71206968,58485106,47106911,47106912,257446733,37210148,37210147,47106924,50207823,49199872,39273649,30677173,30677175,37210023,28685884,28685883,37210020,257446719,71206881,84776009,84776053,84775999,84776000,84776012,71206887,58484975,58484974,71206885,84230474,84776063,71206966,60600533,49199900,49199901,60600507,71206975,71206974,73345639,70677037,57958247,46581685,46581686,57958214,48935874,48935875,40108541,36695183,28204692,28204691,36695181,30423014,30423015,36695195,36695194,255800778,21012517,21012512,15091598,15091599,21012515,28204739,36695248,39012531,256999939,48935862,39012449,39012450,39012441,39012440,48935853,39012543,30423141,23017921,255127623,7831667,4971382,3002795,1743881,1743883,3002796,4971386,7831675,11730566,255511237,30423168,23017938,23017939,256455807,48935910,256500508,50051736,269411647,34641893,34641892,40335205,33168571,31604684,24101774,17743291,17743292,17794393,12595298,12595297,17794396,24112861,24112860,24196100,19701369,14126125,9718494,6393362,6393364,9718497,14126127,17771652,23319740,17055149,17055151,23319742,23319667,17055094,11964390,11964391,11744380,11744382,8471557,5475951,5475952,8471559,10746228,15538178,17704003,12585314,12585315,17772590,24088231,17730873,17730874,17769068,12574659,8528480,8528479,12574657,17769065,12621629,12621628,17826069,24195305,31702912,28416684,21194623,21194626,28416670,21194616,15230929,10506661,10506660,15230928,21194612,17836903,17770725,12575882,12575881,17770722,24134460,254413304,10899986,7208901,7208902,10899987,15738422,21797975,18832718,18832720,21087735,28294843,25077740,25077741,24817182,24817183,24167235,17799562,12599824,12599822,17799553,255553454,16543414,11530080,7670306,4853203,4853204,7670309,11530085,16171378,16171379,21799272,21062563,21062562,21068292,15133439,10437557,10437371,6880614,4318917,4318916,6880612,10437367,15133165,15853132,21941502,24081381,17724196,17724198,256034647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7945942, s2 = 8235347, dlinesl.size( ) = 2 s1 = 7945942, s2 = 8235347, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7945942, Dl.E( ) = 12, 1.41e-05 seconds used appending s1 = 1389379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1389379, s2 = 13298627, int(edited[s2]) = 0 s1 = 1389379, s2 = 13298627, d1 = 7, d2 = 4 Dl.O(d1) = 35342376,35342377,41973136,257245190,256236917,27226467,34101969,29226604,254985450,33154809,33154808,27217992,27217991,35341942,35342387,35342386,38566851,29996363,29996364,30754248,23331736,23331734,19516966,13970727,13970728,19516969,26233124,33030013,41973187,35349105,35349033,27226039,27226040,27226058,20297452,20297453,27226063,35349069,27227012,27227013,35350072,44774648,44774647,52461865,50406536,40371471 Dl.O(d2) = 24169654,17802258,12601917,8551813,5549662,3434887,2031777,2031778,3434897,3755393,3755392,6004941,9174700,13418690,17721606,15092010,10408882,6861342,6861340,10408872,15091987,12528253,12528255,254278170,17729758,17729757,17799841,17799842,24167503,24082369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1389379, s2 = 13298627, dlinesl.size( ) = 2 s1 = 1389379, s2 = 13298627, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1389379, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 6581813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1235611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1653677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1653677, s2 = 8333569, int(edited[s2]) = 0 s1 = 1653677, s2 = 8333569, d1 = 12, d2 = 11 Dl.O(d1) = 41973187,35349105,35349033,27226039,27226040,27226058,20297452,20297453,27226063,35349069,27227012,27227013,35350072,44774648,44774647,52461865,44767378,35341121,27217189,20288995,17065054,11974117,8019674,255144769,13631621,9334200,9334199,13631619,19093335,20290697,14560165,14560163,20290689,27219291,35342557,27218724,20290197,14559795,10018895,10018892,6585120,6585119,10018918,10018925,10019051,6585213,4125895,2468204,1426668,1426667,2468200,4125661,6584799,10018329,14558946,20289002,27217197,35341130,30754200,30754199,39354705,44768720,44767366,44767365,44767950,35342528,27218695,27218693,35342273,35342272,44768214,257930762,30143632,30143630,38724915,43422876,43422873,34503395,34503398,43461130,43461134,43719351,42195613,34343415,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341 Dl.O(d2) = 6449339,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460815,54013021,54444385,51692078,41442332,41438251,41438250,51685555,258301638,54365412,258853147,60959203,49534216,49534215,60959202,67066926,67066925,80486586,67048994,67048996,80486590,94490165,260384135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1653677, s2 = 8333569, dlinesl.size( ) = 2 s1 = 1653677, s2 = 8333569, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1653677, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9736070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9736070, s2 = 14164531, int(edited[s2]) = 0 s1 = 9736070, s2 = 14164531, d1 = 0, d2 = 0 Dl.O(d1) = 257678869,74702014,259389725,111924970,260007839,85997938,85997937,99956577,97985694,84110972,259267205,258764681,72401499,85997871,85997910,72401564,59665928,48278056,38366420,38366421,29793580,29793579,38366423,48278060,59665935,72401579,85997921,99956557,112914819,98927249,268946992,257531670,59665870,59665871,71429704,58697325,47307174,47307175,58697327,53171930,53171929,65156705,71429690,71429689,85002579,98927236,85997872,257531668,71429688,71429687,85002576,98927242,92476579,78439461,78439460,71429721,58697342,47307183,47307182,58697338,71429718,85002590,98927256,85997975,85997974,258141008,99311807,85366858,71777017,59034487,47632244,47632243,258090901,85366854,99311802,85997977,74756764,257632152,40423721,50461083,61956953,74756768,88390455,99311801,85366852,259340613,259071417,65156701,53171927,42722249,33692075,33692074,42722247,53171924,65156697,78439455,88390440,259436805,259700251,92476539,260316015,100673466,260053655,114719849,106783443,92476541,260316017,113315357,113315358,116484990,106783474,92476569,78439449,65156695,53171921,53171922,50461080,50461081,269529099,60358707,73096870,86700273,88390448,100673469,86700278,269864466,50461076,50461077,61956944,74756754,78439447,78439420,257825999,42722238,33692070,256676449,53171911,65156678,73096877,257581827,48963612,39042381,30453004,23044689,16798931,16798932,23044690,16798933,16798934,19225501,13733789,13733788,19225503,24529681,18097594,14038083,9652026,6346470,3981804,2386264,1381336,254115451,445241,254151061,1210528,2102459,3532746,254624905,12831546,255610787,255303953,9652020,6346466,3981800,2386262,2386261,3981799,6346465,254955771,19592541,26317874,26317868,26317867,32105993,256905257,29200698,21888187,21888186,29200695,35350860,27227875,20298978,20298979,27227877,256763567,44775446,44775470,35350856,27227873,27227874,35350858,257930835,258478744,109413305,95157871,81099970,81099971,68082264,65054733,65054732,78333761,92366727,262002813,171327458,162721158,260668286,259452488,95605990,109809203,109809177,109809176,123946538,260668274,123946545,114723829,114723830,127283792,260357196,100677597,86704584,258189897,48967903,48967904,258189899,86704580,73101099,60362943,48967892,48967891,60362942,257680823,40405258,31713212,31713213,40405260,50439226,61929667,73101109,60362965,48967917,39046756,30457497,23049906,23049905,30457496,39046753,48967909,257582193,39046738,269834339,100677587,260654003,85413668,71825288,59084205,258095377,47684312,47684307,37762131,29200716,29200717,37761998,29200594,255433785,7252507,4573653,4573652,7252505,10957228,15811537,21888096,23333873,17067570,11977902,11977903,11829757,11829756 Dl.O(d2) = 257678869,74702014,259389725,111924970,260007839,85997938,85997937,99956577,97985694,84110972,259267205,258764681,72401499,85997871,85997910,72401564,59665928,48278056,38366420,38366421,29793580,29793579,38366423,48278060,59665935,72401579,85997921,99956557,112914819,98927249,268946992,257531670,59665870,59665871,71429704,58697325,47307174,47307175,58697327,53171930,53171929,65156705,71429690,71429689,85002579,98927236,85997872,257531668,71429688,71429687,85002576,98927242,92476579,78439461,78439460,71429721,58697342,47307183,47307182,58697338,71429718,85002590,98927256,85997975,85997974,258141008,99311807,85366858,71777017,59034487,47632244,47632243,258090901,85366854,99311802,85997977,74756764,257632152,40423721,50461083,61956953,74756768,88390455,99311801,85366852,259340613,259071417,65156701,53171927,42722249,33692075,33692074,42722247,53171924,65156697,78439455,88390440,259436805,259700251,92476539,260316015,100673466,260053655,114719849,106783443,92476541,260316017,113315357,113315358,116484990,106783474,92476569,78439449,65156695,53171921,53171922,50461080,50461081,269529099,60358707,73096870,86700273,88390448,100673469,86700278,269864466,50461076,50461077,61956944,74756754,78439447,78439420,257825999,42722238,33692070,256676449,53171911,65156678,73096877,257581827,48963612,39042381,30453004,23044689,16798931,16798932,23044690,16798933,16798934,19225501,13733789,13733788,19225503,24529681,18097594,14038083,9652026,6346470,3981804,2386264,1381336,254115451,445241,254151061,1210528,2102459,3532746,254624905,12831546,255610787,255303953,9652020,6346466,3981800,2386262,2386261,3981799,6346465,254955771,19592541,26317874,26317868,26317867,32105993,256905257,29200698,21888187,21888186,29200695,35350860,27227875,20298978,20298979,27227877,256763567,44775446,44775470,35350856,27227873,27227874,35350858,257930835,258478744,109413305,95157871,81099970,81099971,68082264,65054733,65054732,78333761,92366727,262002813,171327458,162721158,260668286,259452488,95605990,109809203,109809177,109809176,123946538,260668274,123946545,114723829,114723830,127283792,260357196,100677597,86704584,258189897,48967903,48967904,258189899,86704580,73101099,60362943,48967892,48967891,60362942,257680823,40405258,31713212,31713213,40405260,50439226,61929667,73101109,60362965,48967917,39046756,30457497,23049906,23049905,30457496,39046753,48967909,257582193,39046738,269834339,100677587,260654003,85413668,71825288,59084205,258095377,47684312,47684307,37762131,29200716,29200717,37761998,29200594,255433785,7252507,4573653,4573652,7252505,10957228,15811537,21888096,23333873,17067570,11977902,11977903,11829757,11829756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9736070, s2 = 14164531, dlinesl.size( ) = 2 s1 = 9736070, s2 = 14164531, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9736070, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6583923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16358347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16358347, s2 = 16313350, int(edited[s2]) = 0 s1 = 16358347, s2 = 16313350, d1 = 0, d2 = 0 Dl.O(d1) = 216366890,212424220,207603274,201757242,194812098,186697158,261008226,155136215,142492025,129114931,115183228,101105098,87107015,83714092,83714093,73488217,70192383,57525233,46209747,46209746,256764194,269652488,100001478,114028032,127908518,141269194,153940446,141269193,127908517,127908516,141269192,153940444,141269190,141269187,127908513,127908512,141269189,153250123,140568745,257776678,99363605,85421054,85421055,85421062,85421061,258391378,66861986,54603943,54603942,52468443,52468442,64336076,53500698,53500697,44783767,44783766,44773656,35358448,35358447,44782361,35360026,27237336,27237335,35348677,36554396,36554395,33161883,25420668,20305642,20305641,27225548,27225549,33161486,35360029,35360030,44783769,52468278,42115764,33161450,256125613,18828189,18828188,18828196,13414734,9172072,9172071,13414731,18828190,25420318,27237242,256764289,35359859,44783010,44782601,35358691,27235837,20306088,20306089,27235840,35358693,43865797,34594974,26607696,19800239,14182713,14182714,255726205,34594976,43865800,51666557,41424284,32564139,24912175,18406750,13074245,8909216,5813901,3626686,3626683,254634731,255234889,22655759,16462930,11470633,7629752,7629751,11470631,16462928,22655758,30029817,29594634,22245963,16108816,11189272,11189273,16108819,22245969,29594646,38161036,48069923,59460509,72197925,84635148,71394488,58659674,47268062,47268061,58659672,71394487,84969060,98894692 Dl.O(d2) = 216366890,212424220,207603274,201757242,194812098,186697158,261008226,155136215,142492025,129114931,115183228,101105098,87107015,83714092,83714093,73488217,70192383,57525233,46209747,46209746,256764194,269652488,100001478,114028032,127908518,141269194,153940446,141269193,127908517,127908516,141269192,153940444,141269190,141269187,127908513,127908512,141269189,153250123,140568745,257776678,99363605,85421054,85421055,85421062,85421061,258391378,66861986,54603943,54603942,52468443,52468442,64336076,53500698,53500697,44783767,44783766,44773656,35358448,35358447,44782361,35360026,27237336,27237335,35348677,36554396,36554395,33161883,25420668,20305642,20305641,27225548,27225549,33161486,35360029,35360030,44783769,52468278,42115764,33161450,256125613,18828189,18828188,18828196,13414734,9172072,9172071,13414731,18828190,25420318,27237242,256764289,35359859,44783010,44782601,35358691,27235837,20306088,20306089,27235840,35358693,43865797,34594974,26607696,19800239,14182713,14182714,255726205,34594976,43865800,51666557,41424284,32564139,24912175,18406750,13074245,8909216,5813901,3626686,3626683,254634731,255234889,22655759,16462930,11470633,7629752,7629751,11470631,16462928,22655758,30029817,29594634,22245963,16108816,11189272,11189273,16108819,22245969,29594646,38161036,48069923,59460509,72197925,84635148,71394488,58659674,47268062,47268061,58659672,71394487,84969060,98894692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16358347, s2 = 16313350, dlinesl.size( ) = 2 s1 = 16358347, s2 = 16313350, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16358347, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7979884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1741213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13607157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 189561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8148260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6628822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163966, s2 = 8170956, int(edited[s2]) = 0 s1 = 14163966, s2 = 8170956, d1 = 4, d2 = 7 Dl.O(d1) = 268977442,47634225,55678464,44769600,35344164,34254332,26377054,268371514,20346796,256240038,44833174,55741037,68138940,59642577,59642578,48255845,38345451,38345450,38172225,38172226,39183859,30586125,256466989,48723270,48723271,60118382,72855352,86420313,72825424,60088149,48691956,48691955,60088148,72825422,60088164,60088165,72825437,269794278,47940236,40308027,40308028,40308030,50334057,257497576,48939304,60336930,61224323,49744635,39725342,31046659,31046660,39725343,43006982,33950765,33950766,256657370,35186169,35186170,28492017,28491993,21275328,17810570,12608961,12608960,17810567,21012766,28205073,22674934,22674933,30050736,38624616,48539431,50416177,61906691,58646831,47254534,47254536,58646833,58812373,255967470,37517449,37250147,37250146,42910788,37250145,37250144,47155049,58238159,47256039,37346823,28808522,21541150,15524856,10737082,10737079,15524866,21541166,20882899,20882895,28051526,21691277,15651294 Dl.O(d2) = 7161106,4510250,4510249,7161103,10833132,15651290,21691269,28973762,28973768,37517455,47425262,55485843,44635754,35251290,35251289,44635753,55485841,67827124,81293175,89036556,81293172,81293173,95349660,85568001,73287837,60544781,49145469,46741856,46741857,37926913,29360619,22030106,21146366,15193451,15193452,21146367,28362016,256434974,33973392,26377515,19643867,14079644,14079643,19643865,26377512,34254835,43354748,53879547,258479641,93441962,107869734,122282913,136256486,149519440,161824147,172991541,182893147,184487321,184487327,273523535,174876241,164058766,152181279,139457551,139457552,262149741,164058775,152181285,152181283,152181268,152181269,152181286,139457557,126087290,112232233,98254071,98254070,112232231,126087284,112232229,259277075,70787525,257415511,28318632,21108245,15162607,15162608,255808633,28318620,36814838,28318644,21108251,21108250,28318642,36814873,46697758,258025503,84346585,84346512,70787480,58069987,58069986,70787479,76919815,63813103,51997943,51997944,63813106,76919819,90794514,92514182,258397448,65190641,53205386,256122874,256122872,257193134,56172563,68657870,68986306,68986307,82508126,69618603,57008471,57008473,69618566,74655440,88282729,270625630,82293324,69508392,56910776,56588215,56588217,69139540,57391314,46103240,46103239,57391310,55935239,44976442,44903463,44903466,54987278,45545791,35906008,257963157,59686214,48299609,38389090,29816239,22448325,22448326,22450466,29816297,29816298,255540690,18539416,18539413,25083426,27259730,27212757,20284328,14554424,10014598,10014597,10788909,15595863,21623686,28894133,36490655,33622520,25821588,25821586,25990512,19319619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163966, s2 = 8170956, dlinesl.size( ) = 2 s1 = 14163966, s2 = 8170956, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163966, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 6686814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6686814, s2 = 13506312, int(edited[s2]) = 0 s1 = 6686814, s2 = 13506312, d1 = 7, d2 = 8 Dl.O(d1) = 257340851 Dl.O(d2) = 256772615,257583386,38297958,38297959,38297993,38297994,48207451,59594103,50313787,50313786,61793852,68589617,56115814,56115813,68589615,56115833,56115832,68589638,82114741,89636877,89636880,83402637,83402635,70105661,70105660,74900278,62097045,62097044,68503378,56351852,45299664,35738986,27510158,20555568,20555565,27315132,27315130,23685538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6686814, s2 = 13506312, dlinesl.size( ) = 2 s1 = 6686814, s2 = 13506312, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6686814, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 1394936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1394936, s2 = 8742551, int(edited[s2]) = 0 s1 = 1394936, s2 = 8742551, d1 = 9, d2 = 3 Dl.O(d1) = 35985824,45661508,56831561,69414148,82934353,96872452,110914311,124850888,261586257,151110588,163069126,173979256,183691874,192197327,199523367 Dl.O(d2) = 210851180,214747894,210510315,205324209,263790224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1394936, s2 = 8742551, dlinesl.size( ) = 2 s1 = 1394936, s2 = 8742551, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1394936, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10253291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10253291, s2 = 8775611, int(edited[s2]) = 0 s1 = 10253291, s2 = 8775611, d1 = 7, d2 = 0 Dl.O(d1) = 274015643,195342388,272913234,195342390,187302178,178064387,178064388,187302179,195342392,202217267,202217266,202217260,202217243,195342366,187302157,187302158,178064375,167600349,259541124,130116881,116205653,116205652,130116880,116205655,102144367,88153335,257101362,74538428,61754391,61754392,74538431,74538434,61754395,50274148,40252825,31565416,31565415,35414918,27290550,27290551,33924552,42977920,53451966,65471703,78801725,92907815,107312695,95980952,81932636,256734390,44999147,35528102,255735222,44999144,35528100,35528099,27368856,20409340,254467654,6618041,6618044,4187118,2504499,2504502,1444785,1444780,2504607,4187419,6682065,10167949,14783826,20614012,27681813,36007919,45694310,56875761,69377211,56799366,45637252,35969223,35969222,45637235,55960150,44998176,35527253,27368172,20408742,14646292,10074829,10074827,14646279,14681011,10097158,10080325,6620674,6620672,10064296,6611663,6611661,4182509 Dl.O(d2) = 1443016,1443011,2500988,1443016,1443011,2500892,1442988,1442983,2500917,1444850,1444845,2504793,1448200,1448195,2511620,4199498,6701532,10198243,14828295,20679849,27778367,36147616,36289266,46085206,46093748,46093744,57379440,62358951,50793906,40701292,40701289,45339894,45339897,56406941,65847812,79210885,93341824,97326091,111320572,111488174,111488172,110784516,110784515,112583588,105767957,91547085,81489529,68005720,55618192,55618189,68005714,69251076,69156417,69156419,81464866,81464045,67982618,57467627,56975380,56452548,45527902,35892751,35892749,45527850,35962542,35610953,35610952,45118713,45118716,269254315,35994463,35994462,35994455,27672694,27672695,35994457,45673968,45673967,56847436,69431420,56847439,56847440,69431425,82950535,82950536,259841155,96886093,110924974,124858570,138313254,138313253,151113985,163071346,262111473,138313258,124858569,261030327,151113986,273072767,183692666,263816659,183692671,173980530,173980531,263452721,199523767,199523761,192197864,192197863,199523758,202036413,202036414,207846061,207846855,202037944,195130173,262809680,262809682,155654683,143103398,261830201,167286207,177780363,177777053,167283370,155652453,259502588,177777050,187050510,187050511,273576515,187053609,195130143,202037920,264282475,212635315,216549153,219794822,219895936,219895937,222534139,222534250,224887202,222623761,219895927,273587044,212765036,216663666,219895926,219895934,219895935,216663677,212765046,207997858,207997857,212765044,216663672,216663670,216663669,212765041,212765042,212765039,212765038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10253291, s2 = 8775611, dlinesl.size( ) = 2 s1 = 10253291, s2 = 8775611, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10253291, Dl.E( ) = 8, 5.1e-05 seconds used appending s1 = 10172069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9735517, s2 = 13731532, int(edited[s2]) = 0 s1 = 9735517, s2 = 13731532, d1 = 15, d2 = 0 Dl.O(d1) = 7623570,7623571,11461409,12292920,17439284,22638346,255105315,7623557,7623556,11461386,16449687,22638343,30009238,38581168,48495945,48495944,55399383,55399382,48495946,48495947,55399381,44552829,35175379,27087373,20189417,20189418,27087375,27087377,35175383,28098877,28098878,31568258,256996159,44552839,44552842,35175396,27087391,20189434,14485975,14485974,20189433,14485977,9967098,6550610,6550609,9967096,14485971,20189427,27087383,35175390,38728986,38728985,38729002,30147471,22760390,16548246,11534148,11534147,16548243,22760384,30147458,38728989,48650188,60046813,72785592,72785596,60046819,60046818,258167437,86381729,100339244,99416998,85476306,72785600,72785599,81270562,85476305,71892014,257086666,47755736,59154429,55461523,44613021,35231848,27137229,256231269,44613018,55461516,60147329,49251550,49251551,59192826,70521387,57820441,46464379,38591404,30018837,268089014,48506349,50556812 Dl.O(d2) = 9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,4689166,4689164,7420341,9345169,13647328,19114904,25752996,33541530,42557800,42557799,33541529,33541528,42557797,38149374,37252145,37252144,37252140,37252139,47157008,52653254,42267380,42267379,42267370,42267371,255715958,37814876,37814875,36971074,36971073,255384728,29715259,28590699,25323495,18744596,13344444,9117845,5965865,5965867,9117858,13344469,16652770,11620175,11620176,16652752,22655966,22655967,24792945,24792944,31312952,31312951,39989517,41486683,35368118,35368117,44792821,55700516,63535771,63535770,76615794,90474360,259860604,95621731,109826224,123966105,137647738,150645365,162741282,162741283,173743193,173743194,183514373,192059408,199412388,203814633,264276384,197254338,189563860,180663722,170529761,170529762,171005766,159690642,159690643,159690645,147342417,134129921,120298905,120298904,120298903,106098468,106098467,106098472,106098471,105440008,105440007,91217382,91217383,103474508,103474507,101602069,101602070,109444904,95188793,258344288,55323114,55323115,67663283,81130387,87635276,74031815,74031814,81130334,95188763,88397620,74763473,61963199,256551402,88397624,102398628,91486623,77555824,64387632,52513971,52513970,64387630,77555821,91486619,260275169,123638206,271420838,87635286,74031819,74031810,74031811,77499521,64784935,52865775,52865776,64784937,74634364,64784923,52865768,52865769,64784924,77499515,64335156,52467521,42461807,33468484,25695573,25695574,25695566,19070358,13614562,9322434,9322435,13614564,13614565,19070361,25695571,33468478,42461799,52865757,64784863,77978983,77979020,77979021,71568320,71568314,58841381,47455590,37547600,37547599,47455589,52865713,42461771,42461770,52865711,64784864,71568303,58841369,47455582,47455581,58841367,71568301,81082584,67616508,55277846,55277847,67616510,71568259,71369635,58633007,47239705,256544136,71369633,71369623,58633000,47239697,37329914,37329913,47239695,58632996,71369616,58633006,257092124,39524425,49458029,60861006,71869094,59130959,47732350,37810189,37810190,47732314,257811575,42475577,42475578,47732395,37810247,37810246,33482208,25708754,25708753,33482206,42475569,47732279,47732280,47732290,59130901,257220517,42475610,52879333,268935001,29245643,29245644,37810206,47732306,59130908,48835995,256330256,29245576,21925578,268079783,10976247,11186302,255081815,22240338,16104498,255458389,22240363,29588555,38154928,38154943,38154944,41224552,257148005,63118256,72196169,64798544,52879331,52879330,48067747,38154961,38154962,48067749,59458704,72196237,59458582,48067586,38154807,38154808,44605814,256342984,32400754,41224648,32960094,32960093,41898189,52234061,58158587,46791147,36913534,28415829,28415830,36913536,35225025,35225026,44605863,55454515,48067454,38154662,38154661,37325197,28788978,28415826,28415827,35225030,29588518,29588517,29588358,29588357,38154718,48067518,58158584,52104696,48067443,48067444,59458467,50521389,40485832,40485831,38154960,38154959,48067743,59458698,51421476,41224590,35225002,35225001,38154999,32400753,24777205,18297130,18297128,24777199,20225735,14513667,9986895,6563942,6563941,9986890,255337703,27131139,35224954,44605797,55454456,256687142,31790708,24276988,18297071,12987502,8841440,5762027,5762028,8841445,5762052,3588911,2139691,1235522,1235521,2139688,3588907,5762042,8841473,12987554,16690816,16690818,22925331,30326468,24777032,24777033,21855876,21855853,21855852,29164559,24277004,17896629,12676913,12676916,17896637,24277021,30326430,22925308,16690804,11651736,7763628,7763627,11651729,16690793,21525009,15512839,10728610,7088371,7088373,10728613,15512844,16690820,16690819,18296859,12987359,12987360,255625947,32400336,41224230,51421167,257717282,89929259,104058754,259581108,132038744,145276664,157689075,154017192,141347339,127984427,114099638,100068800,100068799,113066729,113066730,126920829,113066735,99077946,85154039,71586357,58862768,58862767,71586355,85154036,85154046,97826720,97826719,85154043,270791029,70439299,57744279,46393750,36533168,36533167,46393746,46393751,36533169,36533170,46393754,57744283,70439300,77712709,77712710,91639704,99785650,113799602,114681204,259397716,259397714,112906607,98919027,84994273,71421006,58687817,47296902,37387540,28847273,28847274,37387541,32075945,32075944,40846835,50980274,62601497,75538764,89295233,103385541,270071764,100969796,86983920,73371261,60625567,49224383,39297380,30699772,23284119,17025003,17025002,22958304,22958305,30359737,38945881,48865593,60258655,72994401,73371257,73371258,86600128,73002702,60267751,48875485,38955944,30369825,22968294,22968295,22956330,22956329,30357932,38944112,48863843,48875483,60267745,258107566,71964641,59226555,59226554,59226552,59226553,48332264,38426529,38426530,48332266,59717617,72453879,86052556,100015889,114043129,114043128,114043127,257497602,126074598,126074597,129130677,129130678,142507809,142507806,129130674,129130675,129130676,127924280,127924279,141285616,153957659,142507804,129130673,129130672,270833520,141285618,127924281,114043126,100015886,86052554,86052553,100015885,114043123,127924275,141285612,153957652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735517, s2 = 13731532, dlinesl.size( ) = 2 s1 = 9735517, s2 = 13731532, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9735517, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 1745510, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15164071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15164071, s2 = 1746161, int(edited[s2]) = 0 s1 = 15164071, s2 = 1746161, d1 = 5, d2 = 10 Dl.O(d1) = 70313631,70313629,83838512,97696092,83838500,70313620 Dl.O(d2) = 46278615,57623105,70313622,57623109,46278616,36425810,27967180,20804580,14910200,10252284,10252285,255356827,27967183,36425814,46278624,57623117,70313644,83838538,73550786,60803840,49403284,39474804,255986537,17168569,12071754,8117696,5200578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15164071, s2 = 1746161, dlinesl.size( ) = 12 s1 = 8363651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8363651, s2 = 2910939, int(edited[s2]) = 0 s1 = 8363651, s2 = 2910939, d1 = 6, d2 = 5 Dl.O(d1) = 86682015,86682014,100654652,259484218,84106028,70569492,57867642,57867641,57867646,70569497,57867651,46511350,46511349,57867649,70569502,70569515,84106041,70569507,57867654,46511352,46511351,57867653,258249225,49910008,39889680,31211716,23726344,17402513,12264050,12264051,17402515,23726349,31211725,39889691,46511347,39889662,31211702,31211703,39889664,49909994,49909995,39889668,31211709,31211710,39889670,46511302,36643861,28168632,23726347,23726346,31211721,39889690,46511304,36643862,28168633,28168634,36643863,46511305,49909984,61390179,70569523,84106054,70569536,70569418,255975430,36643915,28168665,20988410,268065345,6854472,254326479,1480664,836887,471569,264921,264920,471566,254156249,472841,472842,476074,476073,843675,254156247,836866,471821,265093,146731,80645,44157,24537,13731,13733,24543,13835,267735079,44468,81245,254073953,44800,81865,148859,266037,147301,80973,80974,147307,147274,147273,265973,473248,266644,266646,266539,147569,147570,149208,82051,82052,149213,269023,266471,149057,148068,81401,81400,148063,267421,474487,474489,475664,475662,843133,838721,838723,477637,477636,843198,843199,845804,477478,268687,268686,477354,475342,267255,148879,148880,267298,267299,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268961,474463,474435,266698,266695,266685,266683,474412,841238,842476,842475,1488766,1488399 Dl.O(d2) = 254118883,1491003,254328213,4319195,4319194,2592095,2592096,4331652,6863245,6863244,4323612,2586702,2586701,4320355,4320356,4331436,2591820,1494660,1494659,1490903,1490799,844094,476322,267947,148416,148417,267949,254097245,269118,478184,846871,1494718,2591892,2591998,2591997,254222163,846741,478112,478111,846735,1490698,844025,476287,267933,148412,148414,267942,476308,844065,1490763,2586240,2586241,4309677,4312318,4312319,6870395,4331400,2591785,2591786,2591900,2577684,1484717,1484719,2577690,1485664,840415,840416,1485305,1485304,1485312,2578682,2580197,1486293,1486292,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,1485126,840109,840110,1485132,2578409,4311900,6869964,6870026,6869930,6869929,6872785,4314219,4310899,4310898,4319521,6881370,10423332,10423331,15111528,21038666,28236691,36731156,46619192,46619153,46619152,57995285,70712070,84263364,70712104,57995303,57995302,70712102,84263402,98157350,111668754,97749889,97749890,97749804,83892993,70368499,70368500,259247589,84263392,70712094,57995298,57995299,70712096,84263395,97749874,85159166,258083987,47488425,47488424,58869839,71592344,74118107,87723468,85143763,85143764,74084906,74084907,87692202,259788510,85143766,85143773,85143772,85159126,71592312,58869843,47488428,37583439,29036036,29036035,29036027,21744239,15693180,15693181,21744240,29036030,37583427,29036038,21744244,21744246,29036042,37583451,47488444,58869834,58869819,58869818,71592320,85159129,83839133,74047877,74047878,87651047,99082562,85159189,74118086,61335959,61335960,74118099,74117997,61335875,61335876,74117999,74118062,87723426,101696797,101696816,101696817,112932625,101696806,269983470,61335954,49853076,49853077,61335956,74118093,85017587,71444978,268425672,47324983,47324982,58713923,71445057,85017653,98943269,98943240,85017607,71445003,71445004,85017608,85017652,85017651,98943243,85017615,268972142,101696798,98943272,85017657,71445060,71445059,85017655,98943270,112932623,257021612,58713883,255975422,47324975,58713908,60637833,49237124,39310357,30712670,30712669,39310355,39310311,39310312,49237075,58713905,58713906,70314216,255255432,58713917,254916888,37416437,47324979,58713914,71445047,83839143,83839134,70314210,268293418,57623605,256119312,52354218,42015004,33071046,25341334,25341335,33071049,42015006,46279051,46279050,57623619,254916876,48537711,59930839,64204471,77352172,64204470,52354151,42014900,42014899,52354149,52543163,254112712,27967352,27967354,36426068,254203574,46279046,36426088,36426081,27967364,20804711,14910291,254916894,268293412,46279033,57623600,52354213,42014999,42014997,47442343,42014889,42014890,46279034,46279035,42014902,33070921,25341196,25341195,33070918,42014898,52354147,46279031,36426078,27967361,20804709,14910289,14910288,20804707,27967358,36426073,254646558,70314193,72126972,72126974,59395951,268141844,254646576,267929618,13359442,13359443,18761141,25341199,255255420,46279019,36426070,36426071,38095797,29531709,22188910,16061409,11152318,7397076,7397078,255078173,22188918,28989738,28989739,37534575,38622847,30049052,29922876,29922875,37534455,30049056,30049057,38622851,30049064,22673571,22673572,30049065,38622865,48537730,48385639,257539359,38482979,29922878,22563467,16383868,16383867,22563465,29922873,38482973,48385604,59768420,72502734,66856146,66856144,66856143,54597593,54597594,49029870,39100826,30504659,30504658,39100824,49029867,43853404,43853403,257882975,73180538,80285524,66856141,54597596,43853402,34581916,26594753,26594751,34581915,30504674,23090275,16835994,11773406,11773407,13686824,19166843,25816319,33616189,42643221,53093186,65077808,77400438,270353938,53093189,53093190,65077811,60433641,49029890,39100841,30504671,30504672,39100843,42643222,42643223,53093188,65077810,78358322,86917536,86792997,73180554,60433637,49029888,49029887,60433634,60433642,60433623,49029881,49029880,258193893,73180553,73180551,86792996,86792992,259441367,77400443,64250501,52395040,44369255,34990887,26909837,20026031,20026029,256212175,44369245,34990881,34990882,257303157,44369252,55220453,269869708,55220446,55220447,49956880,49956879,61434551,74213505,256511874,49956881,61434554,74213507,257641180,61434569,49956898,49956897,50239323,40219232,40219233,50239325,61718262,50239544,40219466,31533595,31533368,24031219,17680564,17680565,24031221,256536561,40219265,31533417,31533416,39940099,31533333,31533332,40219197,31533390,24031235,17680575,12503801,8470233,5475143,3369224,3369225,5475146,8470239,12503813,12503838,17680604,17680603,24031182,17680536,17680537,23007203,17910354,255276392,24292183,24031228,24031227,31533380,35354886,35354885,38263703,29697902,22344202,22344201,27217040,31111983,31111982,39792499,32412665,32412664,40219206,31533342,31533343,255999346,24779103,22344318,16195152,16195153,22344320,29697906,24031178,24031179,31533331,40219195,32403022,32403021,29698023,22344324,22344323,24779104,18298564,12988639,12988640,18298565,24779105,32403019,24894482,18392886,13064217,8902160,8902161,13064219,18392890,18392837,13064179,8902139,8902138,13064178,18392835,24894439,18392874,18392873,18298556,12988635,12988634,18298554,13064196,13064195,13064220,13164377,13116042,8939140,5834643,5834642,5772895,5772894,5772896,5851444,8963882,254902935,5857700,5857699,254905669,18528355,256086575,256086573,32403032,24779124,24779123,18327304,18327305,24817865,25070568,25070569,32767330,256470848,31533533,25070572,25070571,32767332,41683481,41041151,41041150,51197143,62846497,75810035,74145265,257637477,49883310,61206335,258240146,70889116,74499851,74499852,88111584,74499842,70889108,58174865,46807462,46807461,58174862,70889105,84446313,98355933,257048448,87749619,87749616,87749617,98651792,98651791,102317402,102317403,98355931,87769259,87769260,84446311,84446310,98355929,112338624,126199106,116409838,116409839,115787926,101742196,101742195,101742205,101742206,101742190,101742189,87769256,87769255,101742204,270899395,74164560,74164561,87769251,101742198,87769262,74164574,61383954,61383952,74164571,74164559,61383937,61383933,49903409,49903407,49903420,39882450,39882451,49903423,61383955,74164575,257930262,256762782,38860002,38860001,48780287,38860007,38860006,48780294,257329790,86508081,86508079,86508080,100466000,259806048,259179908,72911663,72911662,84508275,270675588,100466001,98429769,98429770,259790172,70944666,258037753,58227462,70944679,60174791,58227465,46859659,46859660,58227466,52705426,42318202,33337776,33337775,33337777,42318204,36981090,36981091,46859655,58227455,58227468,52705425,42318208,33337779,33337778,42318206,52705430,64606007,64605988,258417177,70944684,84508280,74635224,74635220,61843090,50359149,40332211,40332210,42206123,46859650,46859649,52566634,52566635,64441865,58227480,52705413,42318194,42318193,42206120,33244568,33244569,42206122,52566628,64441858,77610069,73462306,60714285,60714284,268971422,71958431,73434296,60686486,268425068,23335151,23335150,30757776,37416210,28874572,254818498,39358513,49285417,49285422,49285421,49984469,49285419,49285420,49984843,39968887,31294600,23808859,23808860,31294602,31294707,31294606,23808863,17475590,12320913,8322177,8322176,255172727,23808963,31294732,39968743,255272650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8363651, s2 = 2910939, dlinesl.size( ) = 2 s1 = 8363651, s2 = 2910939, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8363651, Dl.E( ) = 8, 1.31e-05 seconds used appending s1 = 8171782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8171782, s2 = 16032848, int(edited[s2]) = 0 s1 = 8171782, s2 = 16032848, d1 = 141, d2 = 164 Dl.O(d1) = 97719354,83860640,70335492 Dl.O(d2) = 72161982,59422910,48030446,40158545,40158546,50183083,61667574,60731713,49329874,39401742,30798504,30798503,39401741,49329872,48030495,38117404,38117405,37749387,29188254,29188252,37749384,38117310,255893591,16077091,16076511,16076510,22207104,22207892,22207893,29552627,255689948,22207810,22207811,20843579,14943792,14943793,254840098,29551916,22207234,16077090,11163976,7405087,4678085,4678084,7405085,11163972,16077086,22207671,16076983,11163899,11163898,16076981,22207513,29552239,29551918,22207237,22207236,22207235,16076984,254662886,4678049,2818252,1635004,929781,524088,524087,929779,1635000,2818245,4678043,2818297,1635034,1635033,929816,524116,524115,929832,1635094,254525857,11164197,16077356,255893631,33994661,26153048,19454160,13921814,9555514,6270043,3925771,3925770,6270039,9555507,13921804,19454048,19454047,22228186,22228187,18289787,18289786,24767856,25689747,19065681,13611126,13611124,11153581,7398074,4673686,4673687,7398081,11153596,16062970,22190785,24767456,24767455,28613982,28798041,28798044,28613977,28613976,37125016,29748528,22388622,16229674,11282397,7489455,7489456,7489448,4733099,4733098,7489444,11282368,16229648,22388576,22676436,22676437,30052482,38626388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8171782, s2 = 16032848, dlinesl.size( ) = 30 s1 = 7939241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1749198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1399744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1749503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1749503, s2 = 10345323, int(edited[s2]) = 0 s1 = 1749503, s2 = 10345323, d1 = 7, d2 = 25 Dl.O(d1) = 46330930 Dl.O(d2) = 254998381,6758700,10283059,9095577,5950618,3721285,3721286,5924798,3704779,3704778,4283825,2561192,1474955,1474957,2561177,4283807,4228140,2528101,1456972,1456971,2528100,4228138,6747740,10268456,255783355 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9682940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8251833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8251833, s2 = 8215384, int(edited[s2]) = 0 s1 = 8251833, s2 = 8215384, d1 = 34, d2 = 29 Dl.O(d1) = 12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825455,268679970,32078431,256063811,24504665,32078428,40850226,50984901,62607404,63949052,256086858,258353090,60493876,269299732,36642585,36642586,46509905,258702540,16704260,11664174,7774795,4926982,4926983,7774798,255786037,36491430,46349144 Dl.O(d2) = 260028264,64590222,256100780,47419207,256235080,47006147,52054268,63826355,64447105,58227807,46859978,256509920,257639300,70945028,58227802,58227801,257328822,98430136,259100782,127726735,127726736,269135196,258471344,121044192,257236720,255694902,53176689,46310174,36457399,269527726,18923360,13490479,13490478,18923357,18923372,13490485,9229738,9229739,13490488,18923376,25534647,29708669,22353403,16202140,16202139,22353401,25534626,18923364,18923362,25534624,33296264,26662429,19847644,19847641,26662422,34654034,43927346,54669799,61820954,50337765,44339403,34962695,26884648,20004843,14326815,14326816,20004845,26884652,34962700,44339412,55189252,50337741,50337740,50337753,61644197,52664776,42277410,42277411,52664777,59102023,47703903,47703904,55669726,47703900,47703899,53208001,258445225,79315816,65951715,53884938,43360814,34260887,255956348,19086615,19086617,258428153,259681983,260043644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1750849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1750849, s2 = 1263266, int(edited[s2]) = 0 s1 = 1750849, s2 = 1263266, d1 = 22, d2 = 11 Dl.O(d1) = 46354409 Dl.O(d2) = 31731746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8360850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1078663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1078663, s2 = 1799640, int(edited[s2]) = 0 s1 = 1078663, s2 = 1799640, d1 = 13, d2 = 2 Dl.O(d1) = 28038822,36502104 Dl.O(d2) = 47240641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1078663, s2 = 1799640, dlinesl.size( ) = 14 s1 = 1402358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 575378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1752487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13512725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7895087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7895087, s2 = 14163309, int(edited[s2]) = 0 s1 = 7895087, s2 = 14163309, d1 = 1, d2 = 1 Dl.O(d1) = 13492825,9231266,6045793,3782777,268151984,13492814,12938370,11134664,7385499,7385501,11134668,15983963,11096464,11096463,15983962,22090929,29421562,23033853,16790320,16790318,21786193,23033189,28043273,267968376,30196026,25538764,22805255,16587846,11567775,7699548,4873051,4873052,7699555,11567792,254841606,11251209,7468650,7468651,4719835,2843508,1649505,937864,528496,528495,528565,528566,937963,939048,939047,1649582,1649581,2843573,2843314,1650234,938469,938468,1650230,2843541,1649708,1649616,937971,937970,938126,938402,528921,528922,938404,938416,1649563,938459,528955,528956,938462,1649830,1649831,1650161,1650163,938434,938435,1650195,1650238,2844498,2843928,254354327,1649557,254166683,528948,296386,163954,90112,90114,163958,296131,528589,938019,1649698,938424,938425,1649868,2843758,1649707,1649545,937904,528525,528526,528928,267752439,937946,1649599,938001,938000,1649676,2843725,254166687,528976,296403,163965,254086419,528971,938485,1650257,2844525,4721349,6118475,6118476,3979157,3815426,3815427,3823093,3978707,3825920,2292175,1329999,1330000,938244,528784,296266,296267,528786,267744605,296307,528831,938294,937924,267766403,938335,939638,1652044,1649922,938231,938230,940456,937951,528558,296292,296291,528809,938265,1649972,939562,529698,296871,164270,90330,49709,27799,254072135,254078743,296883,529714,939567,1651943,1651944,2844155,2850437,2850436,2849782,1653430,940503,940501,1653427,2849780,4727289,2850244,2850243,4727396,7480358,254531732,268611407,21329976,268611409,46934508,58300616,71015842,84580213,81617171,81617140,81617139,68127937,55730023,44822138,35396130,35396131,37902038,37902040,29333710,22002823,15902578,15902580,22002826,29333716,37901893,37901892,40173292,31488255,23991129,23991130,31488256,255762716,61680006,74462792,88075020,270155134,59668323,48280586,38369190,29796484,22430151,16262960,16262959,22430149,29796482,38369185,36526475,28060687,20890345,14986765,14986763,20890340,28060676,36526455,46386298,57736111,259872179 Dl.O(d2) = 13492825,9231266,6045793,3782777,268151984,13492814,12938370,11134664,7385499,7385501,11134668,15983963,11096464,11096463,15983962,22090929,29421562,23033853,16790320,16790318,21786193,23033189,28043273,267968376,30196026,25538764,22805255,16587846,11567775,7699548,4873051,4873052,7699555,11567792,254841606,11251209,7468650,7468651,4719835,2843508,1649505,937864,528496,528495,528565,528566,937963,939048,939047,1649582,1649581,2843573,2843314,1650234,938469,938468,1650230,2843541,1649708,1649616,937971,937970,938126,938402,528921,528922,938404,938416,1649563,938459,528955,528956,938462,1649830,1649831,1650161,1650163,938434,938435,1650195,1650238,2844498,2843928,254354327,1649557,254166683,528948,296386,163954,90112,90114,163958,296131,528589,938019,1649698,938424,938425,1649868,2843758,1649707,1649545,937904,528525,528526,528928,267752439,937946,1649599,938001,938000,1649676,2843725,254166687,528976,296403,163965,254086419,528971,938485,1650257,2844525,4721349,6118475,6118476,3979157,3815426,3815427,3823093,3978707,3825920,2292175,1329999,1330000,938244,528784,296266,296267,528786,267744605,296307,528831,938294,937924,267766403,938335,939638,1652044,1649922,938231,938230,940456,937951,528558,296292,296291,528809,938265,1649972,939562,529698,296871,164270,90330,49709,27799,254072135,254078743,296883,529714,939567,1651943,1651944,2844155,2850437,2850436,2849782,1653430,940503,940501,1653427,2849780,4727289,2850244,2850243,4727396,7480358,254531732,268611407,21329976,268611409,46934508,58300616,71015842,84580213,81617171,81617140,81617139,68127937,55730023,44822138,35396130,35396131,37902038,37902040,29333710,22002823,15902578,15902580,22002826,29333716,37901893,37901892,40173292,31488255,23991129,23991130,31488256,255762716,61680006,74462792,88075020,270155134,59668323,48280586,38369190,29796484,22430151,16262960,16262959,22430149,29796482,38369185,36526475,28060687,20890345,14986765,14986763,20890340,28060676,36526455,46386298,57736111,259872179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7895087, s2 = 14163309, dlinesl.size( ) = 2 s1 = 7895087, s2 = 14163309, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7895087, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 9559292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6427069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6427069, s2 = 8070864, int(edited[s2]) = 0 s1 = 6427069, s2 = 8070864, d1 = 24, d2 = 28 Dl.O(d1) = 254223244,2755425,268079651,14995765,255790139 Dl.O(d2) = 269791868,29052408,25022440,25022439,29052186,21757847,21757846,21757838,21757837,255860064,255425158,47504406,47504405 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10242753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10242753, s2 = 9738833, int(edited[s2]) = 0 s1 = 10242753, s2 = 9738833, d1 = 49, d2 = 0 Dl.O(d1) = 183996706,174337842,163493973,163493972 Dl.O(d2) = 13379960,13379959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10242753, s2 = 9738833, dlinesl.size( ) = 14 s1 = 13176889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1754827, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1082061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6797283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6797283, s2 = 7035694, int(edited[s2]) = 0 s1 = 6797283, s2 = 7035694, d1 = 34, d2 = 27 Dl.O(d1) = 258630643,36558625,28089222,20915602,15010066,256279097 Dl.O(d2) = 261671067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13169559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10215414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1202850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658034, s2 = 8368992, int(edited[s2]) = 0 s1 = 11658034, s2 = 8368992, d1 = 1, d2 = 1 Dl.O(d1) = 39127966,30529585,254557314,39127968,30529586,23111543,16852906,16852905,23111261,16852657,11786108,7869741,4995744,4995745,4996950,4996949,4991982,4991981,4996983,4996984,4995900,254172902,7870996,4996754,3019033,3019032,4996751,254249364,1754183,1754182,3018536,4995915,7869940,11786326,16852901,21042466,21452506,21042270,21042268,21042595,15114686,10425565,6873671,6873672,10425570,15114698,16792538,11741341,7839072,4976066,4314692,4314689,2580462,1486451,840877,474141,474142,840879,1486458,2580484,4314719,4314718,6873417,10425135,15114090,11741374,11741377,11741313,11741314,16792499,254503650,16792490,11741307,7839049,7839050,11741310,16792493,16792491,16792492,23036885,29181845,21871031,15797016,15797017,15797018,12479723,8450574,5458707,5458703,8450567,10944784,10944833,10943627,10943628,10942817,10942818,15794286,11832340,7907549,7907550,11832343,15794495,10942992,8298164,8298165,12287420,16632557,15796197,10944963,10944962,12294534,8303822,5357798,5357801,8303829,12294540,11014972,8291565,5349213,3287589,1933337,1933339,3287593,5349221,5026767,3042676,3042675,5026764,7907875,10942781,10942780,15794246,10956659,10956660,15801946,10949187,7246055,4568657,4568658,7246065,7892165,5012894,5012893,7892160,7251877,7245016,4567843,2747298,1592285,905242,905243,1592288,254343773,3031624,254173783,1004963,1764013,3031625,254558805,10952024,10952025,15800062,15800061,15807530,10953813,10951394,7247934,4570919,4570918,7249074,10949062,10949060,267934173,3822226,2290024,1328686,1325990,756784,756785,1325998,2285837,3810313,6089927,6108810,3822286,3822284,6073542,268027593,18980425,25589430,33349774,25752435,255588101,12611791,8560365,8560364,6078816,3819823,2288488,1327725,1327727,2288497,3819845,6104952,9319657,9350120,13654400,19124190,15201746,15201744,17003243,17003227,17003226,23267199,23267229,19025340,19025339,19037664,19134665,19134664,25774985,25668755,25668754,25656299,256143507,25766057,19126424,13656269,13656271,19126427,25766062,33555615,30443351,255685417,13657491,9352313,6125841,6125842,9352315,13657494,19127980,17872734,12656613,254656613,3807527,2280792,2280791,3807525,6085098,9289007,6918968,4346675,4346676,6918972,10492555,14554795,20284703,27213234,254446298,19193933,21281546,18865736,14397099,9902910,6508924,6508925,9902914,14397105,20079932,19009324,19009325,25623907,20931285,20931284,28107729,36579796,46445004,57800321,70501191,84035919,97905821,84035921,70501193,70501194,70501195,70501197,70501196,84035923,97905822,258416450,64578706,268749984,33311818,25550340,18937816,13502031,13502032,18937818,23746613,23746614,31230203,39906794,40065349,36984657,36980690,267812010,15305370,15305372,16525994,16525995,13497584,9234433,6048021,6048022,6956196,10547550,15281692,12383458,8368015,8368014,7463688,7463687,10701055,12378015,12052893,12052892,8380568,5408369,5408368,8214199,8214201,11825220,7902764,7902762,11825214,8385702,5411298,3326409,1956263,1956262,3326406,5411290,6068338,6068335,9264729,10531454,8371532,8371533,12388366,13513329,9246364,6055777,3789388,3789378,2270191,2270190,3789371,6055744,9246307,8363723,5398269,3319364,1952673,1115661,626136,347916,190777,190779,347920,626143,1115679,1952718,3319467,5398461,8359207,8359205,12370697,17539000,22424654,22424653,255093014,38276240,38276241,48094303,54595750,54595749,66854655,71389554,74803221,74803220,78487440,65202739,257236525,25929641,19267604,13771930,13771929,19267603,25929639,33736706,256123851,25399001,33137126,42089062,257784161,260379424,39990873,31314225,23825146,256014415,39990871,34141798,26275038,26275037,34141795,43230374,53743094,47102810,41861767,32930388,25213888,25213889,32930390,38359155,29787404,256408549,22424629,22423416,22423415,29788606,27156331,27156332,256398283,22304611,22304610,22655491,22655493,29532492,22189640,16062037,11152843,7397514,4673329,4673327,7397507,11152829,16062025,22189620,29532456,23601858,22189590,16062007,11152819,11152822,16062016,22189601,28083411,22900903,16670269,16670270,22304665,22304664,25832007,29532393,29532392,36987903,46866408,37910499,29341424,29341421,37910492,268618424,33295326,25533809,25533808,33295325,256002510,29656354,22304649,22304648,29532448,22189612,22189614,29532450,29656323,22304629,16158747,11226687,11226686,16158745,22304624,29656321,22900906,22900907,30299492,255516030,30029524,22655524,16462758,11470521,7629682,4827162,4827160,7629677,11470514,16462747,255927515,29532420,22189583,22189581,29532415,38096504,48008156,59396577,65103026,257053834,42664278,53116293,65103024,78386729,92424016,87736175,74130347,61348477,59396543,59396542,72127487,65103021,61348481,49866350,256002494,48517760,59910907,61348191,61348192,255551432,36496599,28033854,20866032,20866033,28033859,36496602,28405313,28405314,36902685,38602992,38603074,38603073,42405219,48517745,48517746,41729349,41729350,36907365,36907366,38096401,30029593,22655595,22655532,22655534,28033866,28033865,36496606,46354425,57703644,61348266,60445365,60445366,60445363,59230015,255044178,29341437,29341436,23672414,23672415,31160848,33219161,25472374,25472373,28519951,21298969,21298967,21180571,21180569,28401164,30467860,25110892,18561193,15222616,15222614,21184243,28405320,28409970,28409972,36907282,28410079,21188636,15226001,10502715,10502716,255385907,28410082,36907307,28410014,21188565,15225944,10502685,6925374,4350580,2605529,1503612,1503613,2605536,4350589,6925389,10502714,15225997,21188629,21188556,15225938,15225939,21188559,28410004,23672751,17353427,17353426,23672748,31161137,39837211,31154239,31154240,39837213,49861053,39844166,31161496,23673035,17353664,17353665,17353635,17353637,23673006,26092622,19403332,19403330,23671970,23671969,31160405,39843191,39844147,36907476,28410177,21188711,15226049,10502745 Dl.O(d2) = 39127966,30529585,254557314,39127968,30529586,23111543,16852906,16852905,23111261,16852657,11786108,7869741,4995744,4995745,4996950,4996949,4991982,4991981,4996983,4996984,4995900,254172902,7870996,4996754,3019033,3019032,4996751,254249364,1754183,1754182,3018536,4995915,7869940,11786326,16852901,21042466,21452506,21042270,21042268,21042595,15114686,10425565,6873671,6873672,10425570,15114698,16792538,11741341,7839072,4976066,4314692,4314689,2580462,1486451,840877,474141,474142,840879,1486458,2580484,4314719,4314718,6873417,10425135,15114090,11741374,11741377,11741313,11741314,16792499,254503650,16792490,11741307,7839049,7839050,11741310,16792493,16792491,16792492,23036885,29181845,21871031,15797016,15797017,15797018,12479723,8450574,5458707,5458703,8450567,10944784,10944833,10943627,10943628,10942817,10942818,15794286,11832340,7907549,7907550,11832343,15794495,10942992,8298164,8298165,12287420,16632557,15796197,10944963,10944962,12294534,8303822,5357798,5357801,8303829,12294540,11014972,8291565,5349213,3287589,1933337,1933339,3287593,5349221,5026767,3042676,3042675,5026764,7907875,10942781,10942780,15794246,10956659,10956660,15801946,10949187,7246055,4568657,4568658,7246065,7892165,5012894,5012893,7892160,7251877,7245016,4567843,2747298,1592285,905242,905243,1592288,254343773,3031624,254173783,1004963,1764013,3031625,254558805,10952024,10952025,15800062,15800061,15807530,10953813,10951394,7247934,4570919,4570918,7249074,10949062,10949060,267934173,3822226,2290024,1328686,1325990,756784,756785,1325998,2285837,3810313,6089927,6108810,3822286,3822284,6073542,268027593,18980425,25589430,33349774,25752435,255588101,12611791,8560365,8560364,6078816,3819823,2288488,1327725,1327727,2288497,3819845,6104952,9319657,9350120,13654400,19124190,15201746,15201744,17003243,17003227,17003226,23267199,23267229,19025340,19025339,19037664,19134665,19134664,25774985,25668755,25668754,25656299,256143507,25766057,19126424,13656269,13656271,19126427,25766062,33555615,30443351,255685417,13657491,9352313,6125841,6125842,9352315,13657494,19127980,17872734,12656613,254656613,3807527,2280792,2280791,3807525,6085098,9289007,6918968,4346675,4346676,6918972,10492555,14554795,20284703,27213234,254446298,19193933,21281546,18865736,14397099,9902910,6508924,6508925,9902914,14397105,20079932,19009324,19009325,25623907,20931285,20931284,28107729,36579796,46445004,57800321,70501191,84035919,97905821,84035921,70501193,70501194,70501195,70501197,70501196,84035923,97905822,258416450,64578706,268749984,33311818,25550340,18937816,13502031,13502032,18937818,23746613,23746614,31230203,39906794,40065349,36984657,36980690,267812010,15305370,15305372,16525994,16525995,13497584,9234433,6048021,6048022,6956196,10547550,15281692,12383458,8368015,8368014,7463688,7463687,10701055,12378015,12052893,12052892,8380568,5408369,5408368,8214199,8214201,11825220,7902764,7902762,11825214,8385702,5411298,3326409,1956263,1956262,3326406,5411290,6068338,6068335,9264729,10531454,8371532,8371533,12388366,13513329,9246364,6055777,3789388,3789378,2270191,2270190,3789371,6055744,9246307,8363723,5398269,3319364,1952673,1115661,626136,347916,190777,190779,347920,626143,1115679,1952718,3319467,5398461,8359207,8359205,12370697,17539000,22424654,22424653,255093014,38276240,38276241,48094303,54595750,54595749,66854655,71389554,74803221,74803220,78487440,65202739,257236525,25929641,19267604,13771930,13771929,19267603,25929639,33736706,256123851,25399001,33137126,42089062,257784161,260379424,39990873,31314225,23825146,256014415,39990871,34141798,26275038,26275037,34141795,43230374,53743094,47102810,41861767,32930388,25213888,25213889,32930390,38359155,29787404,256408549,22424629,22423416,22423415,29788606,27156331,27156332,256398283,22304611,22304610,22655491,22655493,29532492,22189640,16062037,11152843,7397514,4673329,4673327,7397507,11152829,16062025,22189620,29532456,23601858,22189590,16062007,11152819,11152822,16062016,22189601,28083411,22900903,16670269,16670270,22304665,22304664,25832007,29532393,29532392,36987903,46866408,37910499,29341424,29341421,37910492,268618424,33295326,25533809,25533808,33295325,256002510,29656354,22304649,22304648,29532448,22189612,22189614,29532450,29656323,22304629,16158747,11226687,11226686,16158745,22304624,29656321,22900906,22900907,30299492,255516030,30029524,22655524,16462758,11470521,7629682,4827162,4827160,7629677,11470514,16462747,255927515,29532420,22189583,22189581,29532415,38096504,48008156,59396577,65103026,257053834,42664278,53116293,65103024,78386729,92424016,87736175,74130347,61348477,59396543,59396542,72127487,65103021,61348481,49866350,256002494,48517760,59910907,61348191,61348192,255551432,36496599,28033854,20866032,20866033,28033859,36496602,28405313,28405314,36902685,38602992,38603074,38603073,42405219,48517745,48517746,41729349,41729350,36907365,36907366,38096401,30029593,22655595,22655532,22655534,28033866,28033865,36496606,46354425,57703644,61348266,60445365,60445366,60445363,59230015,255044178,29341437,29341436,23672414,23672415,31160848,33219161,25472374,25472373,28519951,21298969,21298967,21180571,21180569,28401164,30467860,25110892,18561193,15222616,15222614,21184243,28405320,28409970,28409972,36907282,28410079,21188636,15226001,10502715,10502716,255385907,28410082,36907307,28410014,21188565,15225944,10502685,6925374,4350580,2605529,1503612,1503613,2605536,4350589,6925389,10502714,15225997,21188629,21188556,15225938,15225939,21188559,28410004,23672751,17353427,17353426,23672748,31161137,39837211,31154239,31154240,39837213,49861053,39844166,31161496,23673035,17353664,17353665,17353635,17353637,23673006,26092622,19403332,19403330,23671970,23671969,31160405,39843191,39844147,36907476,28410177,21188711,15226049,10502745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658034, s2 = 8368992, dlinesl.size( ) = 2 s1 = 11658034, s2 = 8368992, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11658034, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 10190456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8142840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7964880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 797867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684774, s2 = 8283855, int(edited[s2]) = 0 s1 = 9684774, s2 = 8283855, d1 = 38, d2 = 37 Dl.O(d1) = 9119219,5966902,3731292,3731293,267929403,11613125,7732768,4895496,2950292,1711017,1710913,972372,972371,1710909,1710972,2950232,4895409,7732690,7742279,4902501,2954813,2606319,1711115,1711117,1714456,1714460,2950401,2935629,1702445,972185,972186,1710523,2949482,4894212,4906035,4895480,2950281,2892067,1678529,954933,954929,1678516,2892047,2931090,4864244,7687276,7728094,7728092,7748833,4907431,4907430,7748826,11413272,7584707,4797424,4797421,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,3804437,6080071,6080097,4820362,2904794,1684997,1684995,2904787,4818822,2903929,1684567,957861,957863,1684572,2903939,4818838,7616226,7728252,7619467,4820883,2948542,1709986,971921,971923,1709993,2948557,2900633,2900634,4813135,4821539,4821540,7497065,7497064,11291823,11456611,11456610,14991153,10322373,10322374,14991154 Dl.O(d2) = 15047788,10374690,10374689,268199219,36608607,46474673,50650384,268732034,24363930,17968463,17968464,256054717,40600524,269292597,268597477,27955765,36413960,46266700,57611147,70301594,258012024,71904013,59165830,47767056,37844399,268597476,269292596,41626077,256054716,18500301,18500300,25033314,268732035,51928861,63738180,76841714,90712097,258636568,259882244,153938627,261334960,259552760,72438271,59702256,258768305,99998936,114025598,261189183,262210752,141267214,141267215,153938624,141267217,141267216,141267213,141267211,141267212,262210752,127906330,260567780,99998936,114025598,261189183,262210752,141267214,141267215,153938623,141267213,127906328,114025597,114025598,127906329,141267215,153938624,261864702,152542003,259540920,112585268,98591635,84668151,84668150,258916224,112953073,257684452,58737236,255593024,21628907,21628906,255202470,28617860,37129455,47016914,58388109,270289777,112585270,258624980,71882265,256954938,47745485,47745486,59144118,71882260,74971004,259552761,261334961,125694508,259882245,258636569,57830565,46474672,46474673,50650384,268732034,24363930,17968463,17968464,256054717,40600524,269292597,268597477,27955765,36413960,46266701,46474671,36608606,28134756,255370517,268199219,36608607,46474673,50650384,268732034,24363930,17968463,17968464,256054717,40600524,269292597,268597477,27955765,36413960,46266700,57611146,70301594,83826369,97683607,261596139,139825915,126453642,112585268,98591636,84668151,71104840,270289777,112585270,258624980,71882265,71882263,73339725,75979118,257390236,86951052,73339728,60594947,60594946,72114271,59381978,59381977,72114268,61988897,257684450,255593022,28903344,21628907,21628906,255202470,28617860,37129455,47016914,58388109,270289777,112585270,258624980,71882265,71882263,73339725,75979118,257390236,86951052,73339728,60594947,60594946,73339726,258636570,59165830,47767056,37844399,268597476,269292596,41626077,256054716,18500301,18500300,25033314,268732035,51928861,63738180,76841714,90712097,258636568,259882244,153938627,261334960,259552760,72438271,59702256,59702257,259393503,114025601,261189184,33038722,25311250,25311251,25311228,18734553,13336852,13336853,18734555,25311234,33038697,33038864,31502141,31502142,40187294,50209314,256845432,42147440,42147439,48578406,48578407,59970141,72076784,72076782,75966976,89746372,91478819,77547545,73211361,73211362,86823848,85663784,72076797,72076795,72707195,85663752,85663753,85663749,77547547,77547548,73211360,73211359,73211345,62984322,51306158,41123482,32310474,24697176,268468089,41123476,256285294,75967021,85663746,72076743,62984223,62984224,62984230,62984231,72707208,59970134,59970135,72707211,77547543,77547544,85663767,257386366,50559775,50559776,59342799,47951457,38038044,29475194,22138439,16021554,16021553,22138437,18227806,18227807,24697179,32310478,41123491,47951447,47951446,59342780,59342754,59342753,72076747,85663757,99613006,99613031,98527783,84603179,72076824,59342819,47951469,47951468,59342818,72076822,85663802,80407000,66976687,54717763,54717762,66976682,80406994,86247229,72645490,72645489,86247227,100214736,103850582,103850583,94466837,80406996,80406995,269403178,257083128,66976678,66976677,80406988,94466828,98527775,89746376,75966983,75966982,72645501,59904632,48511171,48511170,59904630,72645498,86247235,98337680,103850609,89746383,75966999,257117050,70870749,66878891,54621060,54621059,66878888,80308401,66878901,66878900,80308412,84603172,84603171,98527777,112522378,114248783,256029858,72645492,59904625,59904626,72645494,80308360,256029860,94364980,108652997,121389835,108653026,108653025,94365072,80308558,80308557,94365068,94364959,94364961,98527774,89746385,75967002,71039358,71039357,74295023,87898533,87898526,76664803,63578914,51793356,51793355,63578909,76664798,90527072,94364922,80308352,80308351,88103770,80308353,66878947,66878946,66878824,54620992,54620990,54621095,54621096,66878928,80308442,66878980,54621146,54621143,43878772,43878773,43878639,34607935,26619740,26619741,34607937,43878644,51867090,51867091,63662613,76755104,90621391,80308346,66878800,54621026,43878761,43878760,41576890,32681328,25003105,25003104,32681319,32681320,41576883,51867080,63662606,66878979,54621142,54621141,66878977,80308333,66878825,54620995,54620993,43878784,43878783,54621157,53479515,53479514,54620969,54620968,52796721,42397148,42397149,52796723,64710547,54621035,54621036,54621208,43878846,34608093,26619849,19810237,19810238,26619850,34608043,26619814,19810217,14189979,9754641,6413756,6413755,9754639,14189964,14189962,255727203,34607991,256199669,26619796,33408040,256536198,43878779,43878778,54621149,254603512,59309560,54621158,43878838,34608086,34608087,43878840,54621119,43878909,34608136,26619884,19810254,19810253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684774, s2 = 8283855, dlinesl.size( ) = 8 s1 = 6544086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6544086, s2 = 3104357, int(edited[s2]) = 0 s1 = 6544086, s2 = 3104357, d1 = 28, d2 = 3 Dl.O(d1) = 255796677 Dl.O(d2) = 98233120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6544086, s2 = 3104357, dlinesl.size( ) = 20 s1 = 995139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10191661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6635805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8391791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162888, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15649279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6527301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13387189, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10344309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344309, s2 = 14036196, int(edited[s2]) = 0 s1 = 10344309, s2 = 14036196, d1 = 19, d2 = 12 Dl.O(d1) = 33314575,25552855,18940182,18940184,255330732,27023848,255477553,11395962,11395963,16374549,22551079,22551083,25897376,19237076,254206004,6169763,6169764,9416570,13743956,19237092,25897393,29081262,24711432,24711431,32326744,255054280,29076810,37627551,37630534,29080136,29080137,37630535,29131337,29081325,254341492,10887937,7199884,7199886,10886678,7198820,7198818,10886689,15723345,21605011,15985378,11097291,11097295,15985311,22092898,21825440,15757969,15757386,15757387,20017364,14336555,9848838,6468696,4053220,4053221,6468701,9848846,8907900,254900639,5813036,5813035,8907887,11740055,11740054,16790534,23034167,20066219,14382177,9887750,9887751,254510732,255047374,35011980,26930338,20044702,20044701,26930336,29080010,21782066,21782067,29080012,23932341,17589957,12416051,12416050,17589955,23932336,26930996,28835294,35012459,44389420,37692157,35016206,26934817,25475880,25475879,33223912,31422217,30440516,30440517,35018116,254971290,37404469,28863065,28863066,29132093,29132091,26901650,26901651,34981241,254214272,254469782,10912108,7216806,7216805,10912105,14380666,255053918,32852470,25145595,18589689,18589688,18589693,18589694,16128931,16128935,17142077,15728481,15728479,21786923,26954083,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193350,29687312,22802795,16585744,16585743,22501036,29577577,22230012,22230013,29577579,38143920,48057193,254747560,26957171,26957170,35037157,44411721,37984851,255425950,29587832,22239829,255047568,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224719,25145574,29083652,27143944,27143943,35240451,41968686,35034335,254357564,255546452,15543023,15543022,15965346,11374473,11374472,8169236,5238376,3197655,3197656,5238379,8169239,12139634,17259689,18595104,23607055,23594672,254132778,22529402,17258608,12194391,8224742,5295210,254264396,1905538,3246341,5295223,8224769,12194428,16230480,16230481,22389441,16735719,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529172,29883936,38441472,36809735,36809734,28838162,21566498,21566497,23595358,17283083,12162068,8192546,8192545,12162065,17283077,254183310,254396918,22472566,22472564,29840110,29842611,29842610,38413840,254396520,29857396,29857397,22527950,22527951,21102876,21102877,22487501,16314846,16314847,17284226,17284225,17343721,20127138,14435212,14435209,15156203,10452464,10452466,254264918,28309883,29855223,29855222,38422168,39393463,39393464,48344522,48934850,39011380,30421911,23016585,268066306,23004877,23004876,21092428,21092427,28300933,28300990,28300991,27233993,255415818,18543900,13176171,8981727,8981726,13176154,18543862,25089121,32786987,38412461,32785735,25087859,18542911,13175564,8981515,8981514,13175801,18543314,25088408,25088214,18543171,13175713,8981458,5863737,5863735,8981452,13175701,10588627,10588626,15331091,21298721,25089314,25089313,32787158,41702907,52013833,55332381,49048685,49048686,46391401,36531039,36531040,38769402,32652765,24980337,18459225,18459226,24980338,32652769,29382725,29382724,37947459,47865705,59261552,268958739,30185514,255109322,22715868,254791612,32787448,32787449,29870067,22510729,16336961,11366778,11366777,16336958,21497082,28310785,21100683,21100682,21614074,15586152,15586153,21615973,21102439,21102438,25986269,28892200,28892201,36807576,46691398,256342292,33950765,33950766,43006983,53484463,256963174 Dl.O(d2) = 256836742,46824439,37022729,32142268,24560034,19422650,19422651,18121437,12849393,8737770,5688370,3538580,2106362,2106359,3538570,5688350,8737720,12849270,12849272,11218046,7443428,7443426,11218037,16147256,22291757,24582155,24582156,21938690,21938691,29259799,37753572,29192212,21880388,15804807,10951692,7248116,7248114,10951688,254098978,23485110,23485109,29191796,37748439,29193522,21881609,21881611,29176469,29176468,29177495,29177494,29193882,22634504,20145045,20145043,17201621,17201623,23485240,23485239,17201665,17201666,23485381,30923069,32824737,37760184,254745022,49919662,49919663,254161518,37536488,29176915,28811500,28811499,267967174,58651380,71386547,84961194,87244514,73622892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344309, s2 = 14036196, dlinesl.size( ) = 20 s1 = 8138834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8138834, s2 = 6559636, int(edited[s2]) = 0 s1 = 8138834, s2 = 6559636, d1 = 5, d2 = 7 Dl.O(d1) = 7903664,11826556,7903647,5024063,3041027,3041030,3041528,3041527,5024906,7905062,11828724,16902565,23165102,30582884,30582877,256466783,268422953,255135469,11828715,11828723,11828722,16902562,23165097,30582878,39180601,30582871,30582870,30582880,30582879,29728520,22371763,16216862,16216863,11826454,7903589,7903588,11826451,16899196,16641369,11826487,11826486,15337199,21306694,28528888,21306702,15337206,15337207,21306704,28528901,255908037,16221417,11276606,11276607,16221418,22377544,16902598,16902599,22377529,16221406,11276595,7485577,4730491,4730492,7485579,11276599,11273311,11273310,16216801,21306736,22377546 Dl.O(d2) = 255965771,22371610,16216746,16216747,16216824,22371707,29728462,37894955,37095151,37095150,46978499,58347857,48204554,38295248,29728367,29728368,38295249,36647641,36647640,38295290,29728411,29728412,29728484,38295358,48204577,39174578,37026946,37026947,46904239,37026756,37026757,39174999,38295329,29728459,22371703,22371702,29728456,29692333,29692332,38257727,48166964,257008470,36647393,36647391,46514833,49104806,39925789,38295347,38295346,39174541,49104801,58269914,46904397,39037620,39037621,39174572,30577009,30577008,39174568,48245174,38334742,29764013,29764014,29764037,29764036,38334781,39764829,39764828,49784385,47298618,47298619,47298620,37389373,37389374,46514841,36647398,255517628,38334786,48245210,254557828,38334723,38334724,29764049,22401580,16239784,11290244,7495949,7495948,11290241,16239778,255517612,38334769,37026836,37026837,28849460,21577721,21577722,28849462,37389376,38111482,48021328,44414409,255517610,40491562,40491561,50527134,46904267,268657568,48246337,48246338,49070093,39139950,39139951,255962992,22401572,16239780,16239779,255909979,268946327,255962946,51079883,40938128,255962950,59632284,48245198,38334776,38334777,48245200,59632285,59225072,47827090,47827088,59225069,255962980,50527106,50527105,48959453,44414403,44414402,55261804,256464064,39037631,48959450,59733159,48349085,48349086,59733162,59633142,59633143,72367404,73255847,86868698,74815235,268422036,48246361,48246362,59633209,58269894,58269895,48246158,38335992,36721060,36721059,46609112,57985859,59632805,50527104,40491525,31796638,31796639,40491528,50527110,59646091,72293019,59558884,59558883,61389021,49908841,48246343,38335978,38335976,41981277,33037880,33037881,41981279,257775793,258770837,59752888,59752887,49320285,39392191,30789683,23364011,23364013,30789686,39392198,49320298,60722617,50335656,48246303,48246302,59633175,256851020,52321713,52321714,64173497,64399719,64399720,61818912,257429630,48246230,48858653,59633212,48246372,38336012,38335658,29764945,29764946,31621272,24115921,24115920,31621270,257090071,33202880,25455972,18856988,13435351,13435350,255393796,11290846,11290847,16240554,22402495,29765101,29765226,29764483,22401934,22401933,22402751,22402752,29765168,22402565,16240769,16240768,22402768,17754901,12563042,8518214,8518216,12563048,16240450,19511492,22402548,22402658,16240682,16240681,16240752,11290977,11290975,16240747,16240679,16240678,22402650,22402219,16240308,11290653,11290654,16240310,16240587,255470449,7496420,11290881,16240595,22402537,29765141,38335665,256311914,16240771,16240772,22402771,29765395,22402981,22402980,29765308,22402697,16240708,11290952,255091933,16240754,11290980,11290981,255470461,29764655,22402094,16240212,11290580,11290459,7496100,7496099,7496263,4738622,2855898,2855897,4738617,2855961,2855962,4738733,7496431,11290660,16240316,16239874,11290298,7495984,7495985,11290302,16239878,22401692,16240519,11290995,11025851,11025852,15904461,16240960,16240150,11290529,7496171,7496170,11290528,7496520,7496521,11291028,16240690,11290991,7496492,4738766,4738765,7496486,7496411,7496250,4738611,2855894,1657466,943090,943091,1657468,2855900,4738628,4738653,254777823,7496216,7496217,11290589,11290585,11290584,11291020,7496510,7496512,11290491,7496135,4738542,2855851,2855854,4738545,7496141,4738634,2855903,1657470,943092,531892,531894,943097,1657480,2855920,4738650,7496307,7496219,7496218,7496678,11291181,7496651,7496652,11291139,7496612,4738841,2856023,1657532,254238919,2855843,1657442,943082,943084,1657450,2855865,4738562,7496167,11290523,7496304,7496305,7299987,4604496,4604495,7299984,5024891,3041516,1771162,1009386,1009385,1771156,3041502,5024874,7905015,11290398,7496079,4738510,2855831,1657435,943074,531885,531884,943070,1657428,2855817,4738481,7067506,254335479,880389,496751,278496,153621,153622,153630,153627,278515,496804,880500,1548797,2673696,4450519,7068749,9254735,9254736,10541680,15275262,17155448,17155449,17572820,17572821,18952068,15474529,10700898,7069717,4451117,4451116,7069713,10700894,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,6954375,5193779,5193775,4374795,2620562,2389241,2389240,3986415,6353458,9661715,10767362,10767363,8385848,8385847,8259445,254589962,17361705,23681940,31170017,36830295,28333896,254610324,22184066,29526328,23373835,268138278,20142723,20798201,14905105,10248295,10248299,14905114,20798213,27959904,22819715,22819716,28118608,20941434,20941435,23188832,23188831,18947016,255671473,17188657,17188654,23189508,27959822,20941408,20941407,28118581,28118606,28118607,25315239,18737868,18737869,22830626,22830627,27959954,20798271,14905156,10248324,6733633,4218773,2522349,1453540,822990,464810,464809,822987,1453532,2522332,4218807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8138834, s2 = 6559636, dlinesl.size( ) = 2 s1 = 8138834, s2 = 6559636, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8138834, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6690156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6690156, s2 = 14315591, int(edited[s2]) = 0 s1 = 6690156, s2 = 14315591, d1 = 30, d2 = 56 Dl.O(d1) = 257406605 Dl.O(d2) = 162765155,162765158,150670797,137674368,137674366,262101233,162765149,150670789,137674361,123993060,123993059,137674360,137674358,123993058,123993059,137674360,137674358,137674357,123993061,123993062,137674365,150670795,162765156,262111652,138322446,260446916,96908830,259841753,124872989,138322445,138322448,261586667,137674363,123993061,123993062,137674365,150670795,162765155,162765158,150670797,137674368,137674366,261728274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6690156, s2 = 14315591, dlinesl.size( ) = 38 s1 = 1411762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1411762, s2 = 14222591, int(edited[s2]) = 0 s1 = 1411762, s2 = 14222591, d1 = 19, d2 = 104 Dl.O(d1) = 36662726 Dl.O(d2) = 46657601,268910651,28276779,21072835,15136810,15136811,21072821,28276767,36772461,46657593,58030121,70744206,84295869,98192072,98192075,84295872,70744208,58030122,258022879,58030121,70744206,84295869,98192072,98192075,84295872,259892839,98192072,98192073,98192074,112154966,261073949,152049225,163912203,154790434,271365158,114904236,100853490,258200462,73259937,60513866,60513867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1411762, s2 = 14222591, dlinesl.size( ) = 2 s1 = 1411762, s2 = 14222591, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1411762, Dl.E( ) = 118, 3.39e-05 seconds used appending s1 = 1411782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7620695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13468349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13468349, s2 = 14292429, int(edited[s2]) = 0 s1 = 13468349, s2 = 14292429, d1 = 0, d2 = 4 Dl.O(d1) = 38201426,38201425,48112570,59500681,70580929,57879813,57879812,57958125,46581580,36695085,36695084,46581578,268603260,57958129,46581585,46581586,57958131,70676941,84230406 Dl.O(d2) = 37490611,37490610,47399067,258404936,257789918,258016662,257789916,84861666,84861668,258404934,126640932,139996173,260871658,152641641,139935514,126571874,112708051,112708050,126571871,139935507,126571866,112708045,261107697,152641633,164492246,164492245,263102053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13468349, s2 = 14292429, dlinesl.size( ) = 2 s1 = 13468349, s2 = 14292429, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13468349, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 1762295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1762295, s2 = 1625275, int(edited[s2]) = 0 s1 = 1762295, s2 = 1625275, d1 = 18, d2 = 16 Dl.O(d1) = 46585032,46585031,57961606 Dl.O(d2) = 37563081,29016430,21728225,19114643,19114645,25752699,33541213,42557472,37563085,37563087,47469976,53479657,47469974,37563086,29016435,21728227,15681683,10856391,7177594,7177595,9439247,13548913,9275482,9275478,9450204,9275456,9275452,12919300,12919298,15681971,13783363,13783365,19281429,25208117,255621158,41124252,41124253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1762295, s2 = 1625275, dlinesl.size( ) = 2 s1 = 1762295, s2 = 1625275, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1762295, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 8338704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8325347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8303400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9106040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1413879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6678620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6678620, s2 = 6426923, int(edited[s2]) = 0 s1 = 6678620, s2 = 6426923, d1 = 23, d2 = 21 Dl.O(d1) = 257237305,46621471,53233156,65221682,78510573,70984258,255013668 Dl.O(d2) = 254221192,21306210,15336786,10592683,8907966,8907969,10265652,8163537,8163536,8118335,8118333,12072816,17170211,23445143,21103601,15158949,15158948,21103595,28313953,21303828,21303827,22034799,28528454,21306359,15336921,15336922,16726609,13381848,9146904,9146902,8118282,8118280,12072723,15334450,10590938,6986483,4390029,4390028,6986478,10590930,15334437,255013302,6987737,4390948,4390947,6987729,10478995,10478978,10478977,9854840,9854841,14344045,20026563,21303917,15334915,10591270,10591271,15334919,15175396,10467767,10265634,10265633,14928664,20827098,21035414,15334943,15334942,21127474,28339574,28339566,21127445,15178882,15178883,15115075,10425905,10425906,15115068,21042971,28232785,21035685,21035684,21103573,15178409,10468636,10468635,15178451,14576442,14576441,20311399,27242174,27242137,21103569,20311353,20311354,21308096,15338219,15338220,21034798,21127134,15178447,15178446,15178759,254491068,10464844,10469454,10469455,15179112,15134229,10438083,6881027,6881026,10438080,10400140,6855745,4302553,4302552,4312188,4312189,6870261,6900197,10467633,10467970,6900477,4332404,4332405,4391321,254119092,254222184,4332555,2592813,1495443,1495444,2592820,4332568,4391622,2631332,2631234,1519367,1519365,2631161,2631230,2631228,4334721,2594607,2594606,2595614,1497222,1497223,2594502,2593099,1495625,1495624,2593096,2592544,2592543,2595015,2595013,1497058,1496575,1496576,1499354,2596365,2593261,1495727,847537,847536,1495719,2593248,1497769,1497770,1497786,848724,479207,479205,847328,478532,269338,269339,478539,847343,1495306,2592602,2594059,4332313,2593684,2593685,4333661,2596257,1497684,1497685,1492919,1492918,2589833,1496799,1496800,2594930,4335161,6903217,10469257,10471304,15178606,10468853,6901363,4333277,2593375,1495794,1495793,2593373,4333274,6901361,6862271,4306701,2575096,1492937,845376,845375,848313,1497074,848567,848569,1497529,2595925,2595966,2595965,2593594,1495934,1495933,2593588,2527328,1456566,824689,465712,262140,262139,465705,824673,1456534,2527282,4226736,2630416,1518848,861157,861159,1518853,2630421,4390302,4389951,2630163,2630164,4335826,2595476,2595475,4335824,6903886,254077588,1600238,909788,254096796,2760424,4588156,7275251,10990150,15856250,21945090,260568815,140622063,261069216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6678620, s2 = 6426923, dlinesl.size( ) = 12 s1 = 13289979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1555823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 809941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 809941, s2 = 5628288, int(edited[s2]) = 0 s1 = 809941, s2 = 5628288, d1 = 0, d2 = 6 Dl.O(d1) = 21044901,21044900,28244247,36739550 Dl.O(d2) = 36739554,46627590,38907636,30320850,30320851,38907638,48829400,258182995,48829397,257574665,72964251,86563189,100524745,114555503,272576827,261769879,166176669,176796782,186192357,194383704,201402245,207309103,212179949,216158398,219454832,222239503,224629855,265735695,228514767,230104677,231515888,231515889,231515893,230104678,228514768,265579915,219454833,216158399,265219455,224629856,226705517,265879105,231515897,232780891,232780890,266240815,234966487,234966485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 809941, s2 = 5628288, dlinesl.size( ) = 2 s1 = 809941, s2 = 5628288, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 809941, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9440372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9440372, s2 = 9353482, int(edited[s2]) = 0 s1 = 9440372, s2 = 9353482, d1 = 8, d2 = 7 Dl.O(d1) = 257414395,260238072,55364614,271659981,256389812,48523775,48523776,49377770,60778955,258015946,71791259,59049941,59049940,64986359,53011406,53011405,64986356,57826894,46470230,46470231,57826897,52829391,42425175,256630744,49245798,52829376,42425156,33432778,33432779,42425158,46470239,46470240,57826905,47450210,42571221,33554183,25764565,19124979,13655148,13655149,19124981,25764571,33554193,42571230,52829395,60377332,48980465,39057818,39057819,48980467,257817343,42571240,33554199,33554197,42571237,259398664,15785279,254752103,4561311,4561313,4561332,2743042,1589708,1589707,2743039,4561326,7235605,10935592,15785310,21857256,256902297,59049648,256542422,42918869,33872834,26050107,26050108,256687335,53385330 Dl.O(d2) = 60673093,269844657,39346502,39346501,257597550,58003749,46627936,255186262,28244591,36739975,256027338,70719953,257635292,78693913,65389104,65389103,55413394,44565724,35187327,254840310,268251850,61896560,50405934,256502436,270916539,59722352,72458177,257631874,100019715,258863488,72831795,60094535,60094534,72831766,60094488,48698410,38776102,30192265,22802019,255114017,254545657,267767243,545123,305357,168981,168980,305355,254244011,255113999,22801776,268958915,60094142,270859300,7697511,256438339,16584676,22801774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9440372, s2 = 9353482, dlinesl.size( ) = 2 s1 = 9440372, s2 = 9353482, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9440372, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 10340640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10174481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9113203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6690816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1417393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1417393, s2 = 7379028, int(edited[s2]) = 0 s1 = 1417393, s2 = 7379028, d1 = 265, d2 = 174 Dl.O(d1) = 36804612,46688720,58061883,70779621,259276621,112223851,126079710,139450437,152174431,262634097,174869973,184481629,192881727,264164479 Dl.O(d2) = 266035286 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1417970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1417970, s2 = 11656997, int(edited[s2]) = 0 s1 = 1417970, s2 = 11656997, d1 = 0, d2 = 5 Dl.O(d1) = 36815494 Dl.O(d2) = 16952182,23225490,30647410,39243228,255435760,29978079,22611353,16427127,11442407,11442406,15496963,21504841,21504394,15496573,10716901,10716903,15496578,15495920,15495919,15496902,10717182,10717010,10717009,10717082,7081004,7081005,10716668,7080246,4457708,4457709,7080249,10716674,15496274,10717247,7080651,4457952,2678077,1551259,1551258,2678073,4457947,7080371,7080485,10717027,10717075,7080520,4457876,2678033,2678032,4457874,7080518,4458010,2678115,2678114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1417970, s2 = 11656997, dlinesl.size( ) = 2 s1 = 1417970, s2 = 11656997, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1417970, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 9373002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9373002, s2 = 584569, int(edited[s2]) = 0 s1 = 9373002, s2 = 584569, d1 = 34, d2 = 27 Dl.O(d1) = 256307328,28319406,36815562 Dl.O(d2) = 15163286,10457141,10457140,13649635,9346759,9346758,6896362,4328947,254491545,10462264,15169412,10462024,6896186,4328816,4328817,6896188,9325889,9325890,13619450,19076797,25703216,33476606,254723824,36652706,28176988,20995512,15081227,10459520,6894473,6894472,10459519,255808855,28322457,255022846,15169700,21115161,28324782,34289322,26413644,19678004,14106941,9703568,9703567,14106938,19678000,26413638,34289318,36450424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9373002, s2 = 584569, dlinesl.size( ) = 8 s1 = 13472691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1769035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1769035, s2 = 11494563, int(edited[s2]) = 0 s1 = 1769035, s2 = 11494563, d1 = 1, d2 = 1 Dl.O(d1) = 46712930,36830379,28333988,21122229,16897262,13501381,13501382,9676879,6364312,6364317,9676848,9676717,6364216,6364218,9676722,14070803,19633978,15258065,10526780,10526779,11543327,11543329,15900211,255166228,15279707,15279708,10559619,6964629,4375598,4375600,6964632,8109958,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794890,5412220,8387172,9256185,9256190,13525007,18960916,23886147,254559884,31093333,31093332,39771567,49791354,61270172,74049832,87652940,101619702,270871742,142865247,129546645,129546646,142865248,155447501,167087310,262295852,194971930,201896997,207723781,212527816,216455284,219535112,216252118,212292319 Dl.O(d2) = 46712930,36830379,28333988,21122229,16897262,13501381,13501382,9676879,6364312,6364317,9676848,9676717,6364216,6364218,9676722,14070803,19633978,15258065,10526780,10526779,11543327,11543329,15900211,255166228,15279707,15279708,10559619,6964629,4375598,4375600,6964632,8109958,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794890,5412220,8387172,9256185,9256190,13525007,18960916,23886147,254559884,31093333,31093332,39771567,49791354,61270172,74049832,87652940,101619702,270871742,142865247,129546645,129546646,142865248,155447501,167087310,262295852,194971930,201896997,207723781,212527816,216455284,219535112,216252118,212292319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1769035, s2 = 11494563, dlinesl.size( ) = 2 s1 = 1769035, s2 = 11494563, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1769035, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10167943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655632, s2 = 14149064, int(edited[s2]) = 0 s1 = 11655632, s2 = 14149064, d1 = 32, d2 = 30 Dl.O(d1) = 15224365,21186516,28407756,36905126,41053478,36905113,28407746,21186511,21186512,28407748,36905114,46782843,58150364,70864454,84421803,259282697,84421799,84421808,98331248,260504081,115233875,101156396,87158369,73539995,60792773,49392170,39463749,30859190,23428084,17150745,12054247,8104465,5192638,3168565,1855160,1855161,3168570,3792238,6061048,9254593,13523146,15289134,10554405,10530930,10530929,6945141,4364488,4337583,2596792,1498010,1498006,2596781,254491909,10473922,254654765,3796417,3796418,6067714,9263906,13534004,15470970,10697839,7067611,4449796,254502065,6066859,9262827,13532168,13532166,15263639,10531463,6945456,6945458,9253878,13522309,15474591,21266431,21266430,28483348,25554602,18941660,18937284,18937286,21258122,21258120,17545959,12376356,12376358,17545960,21267630,23428082,17150741,12054244,8104463,8104464,12054246,17150744,23428083,30859188,39463748,49392168,60792772,60792757,60792758,73539981,87158346,87158366,73539993,60792771,60792770,60792768,49392166,49392161,49392162,60792760,73539982,87158347,87158358,87158356,87158357,101156388,101918174,87945727,255266736,50086009,40064579,31381767,23884778,17538204,17538206,14500225,14500224,254328608,28339111,268026678,46718552,58090340,255670602,98274337,97781420,83922902,70396766,57702708,46353437 Dl.O(d2) = 262609116,138842249,272511617,151544742,138842250,138842252,151544744,163427835,174276697,183940318,273314398,163427831,163427830,174276692,163427832,151544742,151544741,151544744,163427835,174276697,183940318,273314398,174276693,183940312,192408517,199699443,205866714,210967793,215136759,218570354,221460574,223937376,265683245,227948568,266087577,231046016,232353893,233536693,234612200,235591918,236484461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655632, s2 = 14149064, dlinesl.size( ) = 2 s1 = 11655632, s2 = 14149064, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11655632, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 9388404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9372596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9372596, s2 = 10351995, int(edited[s2]) = 0 s1 = 9372596, s2 = 10351995, d1 = 64, d2 = 103 Dl.O(d1) = 256820940,36777166,28281162,28281161,22724175,20349151,14605943,14605942,20349150,17592951,12418224,8393469,5416653,3329884,3329886,5416660,8393480,10021718,6586672,6586674,10021725,14564068,20295364,24677679,20913354,15008176,15008175,20913350,28086570,27010875,27010874,22722194,16517116,14606697,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596470,16225687,22383631,20963569,20963568,22719979,16514995,11509364,7656430,7656429,5092047,5092045,7998931,11949489,17035051,14608630,10052152,10052151,14608626,20346461,20346462,20350550,20350551,20187487,20187486,14596994,13298333,13298334,17489549,17489550,18736985,14606412,10050695,6604452,4137214,4137213,6604446,10050683,10786456,14596362,10043599,6600237,4134905,2473494,1429827,813441,461110,461111,813445,1429843,2473541,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041 Dl.O(d2) = 46738093,58108236,258652391,98290428,260500465,139505714,152236774,262636295,184551369,273846982,155503117,142954008,260703453,74106862,61323742,49840461,39816882,31134295,23646508,255162453 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9036240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162420, s2 = 1902388, int(edited[s2]) = 0 s1 = 14162420, s2 = 1902388, d1 = 1, d2 = 1 Dl.O(d1) = 39358410,30757668,23335052,23335053,30757669,39358413,256457206,255963171,16864882,254811673,7877991,11796623,8579046,5574194,3457849,2049959,1175664,659974,365796,365800,660001,1175722,2050050,3458016,5574457,8579481,12636099,17844005,24214426,22781697,18978735,18978734,25587541,22786982,22786983,19819252,14196805,9759295,6416791,6416790,9759289,14196227,19818499,19651724,14085810,14085811,15239140,10512450,10512452,15239145,17843692,12635883,8579353,8579351,12635881,17843691,19650382,26316307,19590958,19590957,19664199,19591033,19591034,14086243,9688996,6373185,6373184,4638603,2793966,2793963,4638587,5574608,8579787,12636587,9758871,6416572,4025563,4025565,6416580,4025618,4025616,6416681,6416918,4025735,2412428,1396319,794420,450114,253467,253468,450120,794433,1396342,2412481,4025843,6417134,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,16916314,11838881,7911995,7911994,11838870,11547650,7682671,7682669,11547635,11547556,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089203,6374471,6374470,9691384,14089317,9690793,9690791,14089308,19656230,24822024,18330548,18330547,22581883,267896406,16578290,16578291,254245278,17118230,23389413,30818613,23393982,17122249,17122250,23393984,26396956,19662906,17118532,17118534,23181375,22122433,22122434,29456456,30817202,29651028,29651029,38217434,47996265,53825720,43300629,34202537,26329196,26329180,26329179,34202511,43300592,46742370,36860874,36860875,46742371,44377413,34999069,26917672,20033151,14349833,9859527,9859526,14349831,14349839,14349840,20033158,26916641,20032519,14349379,14349380,20032522,20033159,20033160,26917682,34999082,44377429,55228101,67570766,55227693,269635075,55228058,44377376,256212887,20033110,14349805,9859509,6476583,4058576,2429195,1405193,799666,799665,1405191,2429190,267870575,9859492,14349380,20032522,20033159,20033161,26917686,34998349,26917467,20033002,14349733,14349732,255738333,20032296,14349228,14349227,14349353,14349860,14349858,14349343,9859218,6476428,6476429,9859220,14349346,20032466,26624938,34613993,43885182,44377490,34999130,26917720,26916899,26916900,26917122,20033126,14349817,9859518,6476587,6476588,9859519,255322771,26917457,26917456,34998853,269190155,60374762,48978140,39055904,39055903,48978138,60374759,258813693,64381124,64381123,77549196,86904576,73294243,60551019,49151603,269368757,49151606,39224956,30627120,23204547,23204546,30627118,39224953,49151602,59533952,59533953,72267943,72039782,72039781,61792742,61792741,74576944,88192581,102184323,116246594,130157759,143488454,143488455,156026436,152562105,139848753,126477674,112609275,98614273,98614270,84689706,71125420,58407601,58407600,256862894,37146233,37146232,47035193,58407605,66851411,256103812,84890852,257761570,70994339,58279573,58279574,270287425,84466959,70910890,58198287,46832233,46832234,54639566,43896524,43896523,53504308,62211756,257843899,43024858,40633069,31917543,24385072,19823295,19823296,20033042,14349760,9859484,6476567,4058565,254213817,1405191,2429191,4058569,6476572,9859496,14349785,20033084,26917588,34998979,44377319,44377315,44377316,257903577,72480879,258388610 Dl.O(d2) = 39358410,30757668,23335052,23335053,30757669,39358413,256457206,255963171,16864882,254811673,7877991,11796623,8579046,5574194,3457849,2049959,1175664,659974,365796,365800,660001,1175722,2050050,3458016,5574457,8579481,12636099,17844005,24214426,22781697,18978735,18978734,25587541,22786982,22786983,19819252,14196805,9759295,6416791,6416790,9759289,14196227,19818499,19651724,14085810,14085811,15239140,10512450,10512452,15239145,17843692,12635883,8579353,8579351,12635881,17843691,19650382,26316307,19590958,19590957,19664199,19591033,19591034,14086243,9688996,6373185,6373184,4638603,2793966,2793963,4638587,5574608,8579787,12636587,9758871,6416572,4025563,4025565,6416580,4025618,4025616,6416681,6416918,4025735,2412428,1396319,794420,450114,253467,253468,450120,794433,1396342,2412481,4025843,6417134,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,16916314,11838881,7911995,7911994,11838870,11547650,7682671,7682669,11547635,11547556,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089203,6374471,6374470,9691384,14089317,9690793,9690791,14089308,19656230,24822024,18330548,18330547,22581883,267896406,16578290,16578291,254245278,17118230,23389413,30818613,23393982,17122249,17122250,23393984,26396956,19662906,17118532,17118534,23181375,22122433,22122434,29456456,30817202,29651028,29651029,38217434,47996265,53825720,43300629,34202537,26329196,26329180,26329179,34202511,43300592,46742370,36860874,36860875,46742371,44377413,34999069,26917672,20033151,14349833,9859527,9859526,14349831,14349839,14349840,20033158,26916641,20032519,14349379,14349380,20032522,20033159,20033160,26917682,34999082,44377429,55228101,67570766,55227693,269635075,55228058,44377376,256212887,20033110,14349805,9859509,6476583,4058576,2429195,1405193,799666,799665,1405191,2429190,267870575,9859492,14349380,20032522,20033159,20033161,26917686,34998349,26917467,20033002,14349733,14349732,255738333,20032296,14349228,14349227,14349353,14349860,14349858,14349343,9859218,6476428,6476429,9859220,14349346,20032466,26624938,34613993,43885182,44377490,34999130,26917720,26916899,26916900,26917122,20033126,14349817,9859518,6476587,6476588,9859519,255322771,26917457,26917456,34998853,269190155,60374762,48978140,39055904,39055903,48978138,60374759,258813693,64381124,64381123,77549196,86904576,73294243,60551019,49151603,269368757,49151606,39224956,30627120,23204547,23204546,30627118,39224953,49151602,59533952,59533953,72267943,72039782,72039781,61792742,61792741,74576944,88192581,102184323,116246594,130157759,143488454,143488455,156026436,152562105,139848753,126477674,112609275,98614273,98614270,84689706,71125420,58407601,58407600,256862894,37146233,37146232,47035193,58407605,66851411,256103812,84890852,257761570,70994339,58279573,58279574,270287425,84466959,70910890,58198287,46832233,46832234,54639566,43896524,43896523,53504308,62211756,257843899,43024858,40633069,31917543,24385072,19823295,19823296,20033042,14349760,9859484,6476567,4058565,254213817,1405191,2429191,4058569,6476572,9859496,14349785,20033084,26917588,34998979,44377319,44377315,44377316,257903577,72480879,258388610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162420, s2 = 1902388, dlinesl.size( ) = 2 s1 = 14162420, s2 = 1902388, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162420, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1770886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8168292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1227840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9091498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9091498, s2 = 16373148, int(edited[s2]) = 0 s1 = 9091498, s2 = 16373148, d1 = 5, d2 = 7 Dl.O(d1) = 305710,305712,545798,969061,964462,543482,304559,304560,543485,964466,254101303,267744839,254170071,1704513,1704512,1704632,968978,545762,305691,305692,545765,545660,305641,305642,305703,305702,545781,969040,969052,1704659,2939305,1704437,968829,545648,305635,305634,545645,254126279,305651,254079081,254079083,305653,545688,968884,1704516,1704703,1704704,1704699,1704702,1704642,968984,545743,305682,169169,93113,93112,169165,305674,545730,968963,1704622,2939406,2939690,4878203,2939320,1704449,968837,254170053,545674,305647,305645,545670,968869,1704488,267833099,7708139,267850058,7708487,4878497,4878496,7708484,7708183,4878308,4878307,7708180,7708138,7708137,11580525,7708190,254364841,2939395,4878313,7708188,7708502,4878595,4878596,7708629,255115755,16536732,11525863,7708128,7708129,11580484,7708109,7708108,11580482,16604465,22825268,22467297,16299328,16299329,22467300,29833898,38405654,37981595,255063696,22088166,29418688,268217988,48722946,48722945,49312394,39384623,30782622,23357830,23357831,20304005,20304007,27233121,28304057,29577104,255195598,28220910,28220909,24104982,255195600,27997071,20832867,14934374,14934373,20832865,23564383,31048617,39727470,49746702,48531749,38616582,30042701,22667336,16471983,16471986,16472180,11476933,11476932,11476978,16472226,22667291,16472339,254789565,7633593,9778254,9778256,14223736,14223738,14223737,256203463 Dl.O(d2) = 17402051,17402052,257057553,61389939,62026285,257104623,31804127,40499269,50534525,62026284,257687819,40499271,50534529,62026290,50534540,50534538,40499278,31804135,24289541,17907959,12686744,8617665,5602197,3477924,2063825,2063826,3477926,5602200,8617670,12686752,268264747,31677249,24168543,17800987,12600936,8551192,8551191,12600934,12552332,8510672,8510671,12552331,12556259,8513061,5511898,5511897,8513057,12556256,17745699,17824392,12620231,12620233,17824398,24072297,29664792,38231057,31678408,24170269,24169712,17802312,17802310,17802234,12601896,8551801,8551804,8008877,5098393,3094522,3094521,5098391,8008871,11964202,17054837,14169191,9740890,9740891,14169193,19781835,21163035,15206552,15206553,21163037,28380551,35401986,27275417,27275416,35401984,268676510,46755903,58124423,58124422,257637758,70839162,258869318,98305762,91165038,91165037,91165039,77246629,64100119,64100120,52251570,41913718,32973834,32973833,41913716,52251568,64100122,77246627,64100131,52251574,41913720,32973835,25251160,18680249,255247691,9070411,254439037,3708666,5931255,9070412,254869778,10340656,254610338,24169787,24169786,31678015,34318478,254610064,31676294,24167144,24167145,31676295,40370507,44788369,35364043,27240653,20309943,254847350,35364039,268439368,55695585,68093095,81582949,95617217,109822406,123962846,137644766,150642763,162738982,173741276,183512925,192058149,185838259,176400343,165737508,153963842,141291980,127930678,114049552,100022149,86058894,72460602,59724842,48340328,38436709,29877846,22521192,16348004,11375562,11375563,7557377,4778811,4778812,7101588,4471236,2686379,1556152,884735,499213,499216,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,7327207,4628165,4628164,7327245,11051755,15928521,17068155,11978813,10752319,10752318,10752628,7103914,4472582,2687102,2687101,4472578,4472113,4472114,2881193,1671872,1671870,2881188,4781212,7555456,11372813,11381346,7561552,7561553,11381349,11367252,11367250,7556503,4778270,2879642,2879641,4776720,4776719,7553613,7102187,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,7915506,11843941,16923375,17316379,16333967,11364435,7563048,7563049,9926903,14431265,16348959,11376398,11376401,16348963,16348270,11375823,7557563,4778945,4778946,7557565,7558198,7558199,11376691,16349270,21560539,17297001,12175526,8207423,5278404,3232171,3232170,5278399,8207418,12175520,17296989,23609457,23636880,31122759,29872320,22513810,16340126,11369169,11369170,16331355,11362277,11362276,16328231,11359759,11359758,16328225,22502511,29864373,267906934,254395248,11282762,16230082,22389037,17285307,12164685,8196121,254836096,17285300,16334357,11364811,7550461,4774963,4774959,7550441,11364779,11360903,7547967,7547964,11360920,12179979,17301977,13330658,13330659,17182189,23460900,17333068,17333067,22504413,17294652,12173441,12173440,17294648,23607322,23364102,17095148,17095149,12214976,12214975,17341298,23658173,20126010,20126011,17299973,12178022,12178024,12194980,12194981,17319886,17256570,17256572,12189421,12180124,8211939,8211940,12180129,12195008,17319153,17319631,17319628,22513793,22395163,22395164,20127863,14435959,11359386,7547002,4773106,2877049,2877050,4773111,7547009,11359395,16327723,12142232,12142231,17262625,23574053,17292381,17292379,23605410,31089884,36791479,29852780,23629001,254837454,39802477,267840552,38422475,29855657,22490766,16317618,16317619,22490768,29855658,23870177,17525768,17525772,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459207,16308708,16308713,16308752,16308778,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22523859,16350785,11377965,7559139,4779909,4779910,7559141,11377970,16350794,16338455,11383566,8189531,8189530,12158961,17279545,23591487,31074807,28516487,28516488,22903161,22023966,15925300,15925299,22026169,22452912,16283676,16283675,15920020,11042417,7316991,4619074,4619072,7316988,11042409,15920014,22021162,27232789,20303699,254520636,254233786,4128443,6589719,10026589,14570910,20303759,22023329,29354337,254575326,23342626,17076441,17076440,16355453,254575324,17076443,22528466,16355735,16355734,22528464,29873207,29872696,22514455,16342281,12157717,12157715,12157703,12151367,8181572,8181573,5251233,254347764,11363941,11363940,16333331,22507112,29749686,22389974,16231037,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,11051328,11378537,16351565,22496472,29859864,38424680,35102583,35102582,254395640,17307049,12184079,8215197,8215195,12184073,17307038,23621555,31106693,28838808,21567290,15545105,15545106,21567291,28313158,28313157,22499864,254506050,7546080,267825998,254167222,7551366,4775474,4775475,7123675,10781279,7123673,7123674,8187183,5256655,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,2336945,2336941,2336986,2336989,3902102,6232564,7551765,4775694,2878368,2878367,4775692,7551764,11366906,16337164,11366914,7551769,7551768,11366913,16337176,22510986,29870308,38431350,48335956,59720840,72456873,259394153,114045739,127926815,141288199,262728485,185835792,184901495,175350450,164588360,152753555,140064003,126717010,112865701,98878454,258919518,60575583,60575582,73318340,86927943,100908106,114960558,128860890,142219071,154854803,166558127,164141810,152255829,139524221,126148920,112288945,257189808,268740786,58125484,46757113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9091498, s2 = 16373148, dlinesl.size( ) = 2 s1 = 9091498, s2 = 16373148, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9091498, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13252457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1422348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1422348, s2 = 5818913, int(edited[s2]) = 0 s1 = 1422348, s2 = 5818913, d1 = 0, d2 = 72 Dl.O(d1) = 36898611 Dl.O(d2) = 239600290,239009469,238367218,266690640,235092131,274676184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1422348, s2 = 5818913, dlinesl.size( ) = 30 s1 = 8485676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8485676, s2 = 10343425, int(edited[s2]) = 0 s1 = 8485676, s2 = 10343425, d1 = 17, d2 = 19 Dl.O(d1) = 262888622,259864938,15071142,15071141,14927687,10264875,6745052,6745051,9056303,6847579,4296674,2568799,2568797,4296678,6847587,10389861,15066149,10988669,10988670,15854511,21943031,29264705,29158731,21850325,15779536,15779535,21850323,256047565,24275237,18199815,268275999,28406987,255704421,13897886,13897885,10974893,7264127,7264129,10974890,15217243,10496865,10496866,15217248,255814515 Dl.O(d2) = 257180967,64111368,262456251,180615708,264045485,207252201,201338110,263157558,271338134,258759578,60112927,48718270,38797203,255468490,16601209,16601208,22821040,269357663,99594541,85644360,257662702,47930396,47930397,59322542,59322552,59322551,72057071,85644374,85997538,72401132,59665425,48277551,38365953,29793161,22427202,22427201,29793160,38365951,48277547,59665420,65968313,65968314,55227286,47957838,38044721,38044722,47957839,43408044,254887076,26428792,34306667,43408043,256065628,63875732,63875731,256620366,41741777,32820669,25116554,25116555,255243890,50577434,50577435,254295272,254295270,46768544,55213643,255243888,52055924,41741245,32820262,25116243,18565594,13193133,255243863,14920112,14920113,20816852,27980828,32820309,25116279,18565618,18565619,25116280,32820311,38455106,38455103,255736964,26916572,23146327,16886056,16886055,23146326,30563347,256841605,36890295,46768579,52396282,61292594,49812937,49812936,61292593,258669602,58277993,58277992,70992459,58277941,58277942,70992460,84555643,91320154,77401622,258378315,63875706,257411110,58277964,46912822,46912823,46468052,46468053,49812931,49812897,39792316,39792317,49812899,61292560,58383399,58383398,58277985,58277986,70992511,59509707,59509708,52055865,52055864,63874702,70992469,58277946,46912804,37035609,37035610,46912806,58277951,70992474,84555649,98477712,112301498,98318309,84408317,70850689,58136345,46768602,36890309,28393218,28393219,36890312,34336923,26453529,26453528,28537367,21314313,21314314,28537369,31111833,23625442,17309879,12185958,8216479,8216478,12185955,17309873,23625432,31111819,39792325,49052426,39122500,37035643,37035645,38212059,29645526,29645528,38212061,256192002,28393220,31166789,254907088,12228635,12228634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8485676, s2 = 10343425, dlinesl.size( ) = 20 s1 = 14162860, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9433399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2132040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2132040, s2 = 2092729, int(edited[s2]) = 0 s1 = 2132040, s2 = 2092729, d1 = 57, d2 = 374 Dl.O(d1) = 58157922,46790537 Dl.O(d2) = 55460504,51397999,41205212,32384932,24764454,24764453,32384931,28053876,23471264,17190259,12087453,8128520,8128519 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1774927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9384314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13234043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13234043, s2 = 11014548, int(edited[s2]) = 0 s1 = 13234043, s2 = 11014548, d1 = 12, d2 = 10 Dl.O(d1) = 47480546,37574837,37574748,37574749,37574856,37574857,47480565,38651132,30074950,22694551,22694549,30074947,255755622,20238993,20238992,27149250,35247419,44631818,55481970,46810169,46810170,58177539,270284995,254494152,21114202,15168242,10461050,6895510,4328431,4328430,4327748,4327745,6894332,10459305,10459592,10291155,268068122,36489360,46347074,57696237,259249115,97774405,83916215 Dl.O(d2) = 256425832,21193685,18926030,13492405,13492407,18926050,25537954,30272998,30272996,256542203,26666418,26666417,20969369,20969368,28147757,36621632,258649799,261628986,256844414,12021465,8356559,8356558,255177159,23879449,31375688,31375748,30185730,30185731,37904540,47826225,40058116,40058115,46792890,36915171,36915172,31375614,31375615,40058003,36915208,28417461,21195338,15231584,15231585,21195341,28417464,36915214,255879841,15909954,11031339,7306133,7306132,11031335,15909949,22011450,256836567,28325761,28325760,21195248,21195247,28325741,22011780,15910258,11031898,7306591,4610809,4610810,7306338,11031562,7306779,4610946,2776215,1610493,916296,517014,267739765,88340,48599,48598,88337,160558,290089,516997,916266,1610427,269803216,7306294,7305978,4610403,267828485,1610371,1610372,2776009,4610592,4610752,2776103,2776104,4610511,2775965,2775966,4610515,4610819,2776139,1610448,916276,916275,1610443,2776132,4610805,4610726,4610727,4610680,4610678,4610769,2776125,2776124,4610789,4610564,4610566,7306240,7306437,11031291,11031292,15909879,22011394,22012477,15910888,11032160,7306770,7306769,11032157,15910886,15909677,15909678,11031393,11031394,11031465,11031466,7306558,7306557,11031866,255442955,29344041,29345664,29344147,22012180,22012182,23544970,29344121,22012162,22012163,29344127,37913137,29344083,29344079,26606208,26606209,34593307,268091264,36837072,39168661,39168662,49098872,60502436,59231799,47834285,47834286,47836104,38605073,30031361,30031362,37913273,37913272,47834759,47834701,256426772,29339723,255487040,14489321,14489320,20193896,15000207,10330536,10330537,15000211,20905094,15127885,15127886,21060658,24191161,29339790,35243340,27146241,255324846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13234043, s2 = 11014548, dlinesl.size( ) = 14 s1 = 1775606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8443127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8443127, s2 = 9423502, int(edited[s2]) = 0 s1 = 8443127, s2 = 9423502, d1 = 57, d2 = 47 Dl.O(d1) = 164200996,273095969,164200995,152318629,139590112,126215959,261086603,262158317,175015797,263237536,126215952,112356323,112356324,126215954,126215959,261086603,112356331,98374246,259286510 Dl.O(d2) = 269377402,76933238,63825515,52009590,52009589,63825513,76933235,90809504,104987319,119182257,126656671,112797892,99056025,85131467,85131468,87585196,101547540,90796853,76922216,63815549,63815550,76922218,70536151,70536152,84072445,97945350,84072431,72718727,59982437,59982438,52009010,41697245,41697246,52009011,63083901,270274254,65881944,257263950,34191835,26319822,19594113,268039180,6347417,3982554,254211431,250640,445357,786062,1381741,2386844 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164735, s2 = 10801850, int(edited[s2]) = 0 s1 = 14164735, s2 = 10801850, d1 = 61, d2 = 67 Dl.O(d1) = 77758651,67807778,67807779,55466061,44617083,44617084,37817698,37817699,47740098,59138719,257546671,38566036,29995640,29995639,38566035,41967139,44634603,44634602,55484623,269353240,44617080,55466057,55466075,52307576,41967148,41967147,42289763,52307578,41967150,41967149,42289761,33309780,33309781,42289762,44622249,44622250,55471643,67813299,77307042,64158981,52307730,52307729,64158980,259643409,91226783,77307071,257447804,33024308,25297957,25297956,33024307,41967298,52307738,62051063,74849275,88485026,77307064,64158993,52307736,52307737,64158995,77307067,87962930,87962933,87962934,85518372,85518371,94333092,88485032,74849291,74849290,80276710,66847118,54588270,54588271,66847122,80276716,94333095,95325948,87962882,80276747,66847149,54588287,54588290,66847154,80276752,85518400,71930737,256123946,255258630,21970379,15876967,15876966,21970377,29296888,37866191,47790814,47790816,59191095,71930707,85518366,99464554,113475284,122884801,108620381,108620382,99464547,85518351,84463085,257784308,71930691,71930692,85518349,98372243,99464552,99464551,98372245,84463088,84463089,98372250,98372229,98372228,101929794,99464543,85518342,84463083,70906842,58194163,46828153,256307657,28449774,36950060 Dl.O(d2) = 257171447,63821061,76928987,90805285,83874317,257769080,111654113,122296714,107880562,93451305,79320014,65956134,65956135,63821060,63821061,76928988,79320005,93451289,107880550,93451293,93451294,90805291,76929002,63821070,269976149,76929006,269492968,83874316,83874328,70349344,57659274,46314992,36462087,28003153,20838343,14939121,14939124,10789562,7128547,7128549,10789575,15596853,16298465,11340159,11340157,16298451,18688529,13295204,9077179,9077181,13295210,10255354,6738780,6738781,10255360,14914598,10783854,7125274,7125276,10783860,11510445,14926381,10263965,254321294,4226125,6744496,10263966,14926384,20824519,27989051,28248139,36529125,36529124,46389232,57739303,70433704,83960005,257386464,76124453,257734811,41225442,32401432,24777740,18297521,18297522,18297525,18297524,18297525,12987810,12987811,18297527,24777744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164735, s2 = 10801850, dlinesl.size( ) = 2 s1 = 14164735, s2 = 10801850, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164735, Dl.E( ) = 68, 1.91e-05 seconds used appending s1 = 1776866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1776939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1776939, s2 = 14051292, int(edited[s2]) = 0 s1 = 1776939, s2 = 14051292, d1 = 15, d2 = 18 Dl.O(d1) = 46835554,36957332,28456964,21230756,15260937,10529215,6944121,4363950,4363947,6364316,3993251,3993252,3993180,2393080,2393081,3993184,6364190,9676668,14070735,10549863,10549862,15284337,14451764,9942573,9942569,10544300,10544279,10544281,10528338,10528336,10568386,10568063,10568064,15266617,10534050,10534052,15266600,15266599,14071166,14071164,15266453,10533909,10533910,15266462,15259613,15259615,10568483,9942578,9942579,10544297,10544300,10544279,10544281,10528338,10528336,10568386,10568063,10568064,15266617,10534050,10534052,15266600,15266599,14071166,14071164,15266453,10533909,10533910,15266462,15259613,15259615,10568483,9942578,9942579,10544297,10544300,10544279,10544281,10528338,10528336,10568386,10568063,10568064,15266617,10534050,10534052,10539121,9677013,6364379,3993280,3993278,6364366,9676983,14071118,19634283,15305756,15296514,15296512,15296115,15296113,13536226,9265860,9265863,10533484,6955138,4370031,2620955,2620959,4375532,4375535,5964669,5964673,6950931,254331231,2617014,4367734,6950926,10539790,15273116,10564549,10564548,13528673,18964266,255267964,21261436,21244268,21244267,28457622,21243246,19834910,15289533,10554804,9676932,9676933,12058347,10549271,6957376,4371271,254495659,10535066,10534987,6947672,6947668,10534983,15267752,255819091,15276202,10542465,10542466,12147408,255546225,28455945,21229342,21229341,23438651,23439576,17165698,15276102,15276103,15297080,10561632,6966036,6966034,10561627,15270037,10547824,6956372,6956371,10547821,15282053,15295757,21229683,28456137,21244694,15277885,15277884,15280221,15280222,17150911,20965818,15056133,15056129,10563687,6967457,4377246,2621776,1513306,1513305 Dl.O(d2) = 255975826,7171985,4517694,4517692,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399303,10416531,10416530,15102463,17857668,17857669,16804537,11750725,7845712,7845681,7845682,8586739,5579643,5579641,8586733,12646632,11297816,11297817,11297917,11297874,11297875,8220593,8220592,8220657,8220658,12190502,15680380,10855531,10855533,15680382,16675128,15694927,15673744,10850605,7173344,7173345,10850611,15673763,18853333,18853332,15696060,10865730,7184058,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7184543,7178306,7178307,10857607,15683726,21731251,29020099,29032268,29032269,37579539,30306533,22907300,16675395,11639534,11639536,16675401,22907313,30306551,37589017,29041353,29041352,29289483,37858319,37551233,29005610,21719730,21719729,29005606,24233801,24232479,17899419,17899417,24279885,29027648,29027646,29047030,29047031,31739067,29007748,256350125,268621842,24229919,24229920,31739029,40433297,40437491,37545072,28999666,21714590,15671576,255422027,28999664,37545067,37564991,37571857,37571859,47466311,40431748,40431749,47460516,37553065,29007398,29007397,21744439,15693331,15693328,21744434,29036239,29040205,29009313,21722756,15678035,10853944,10853945,15678037,255856961,21752219,21720510,21720511,21729436,21729437,21734018,21726616,15695729,15695727,15693480,12019432,10864194,10864195,8587395,5579986,5579982,8586853,12646819,17858462,21740032,15689950,10861681,10861680,15689943,15693805,15697878,21751076,29023507,29023506,21746466,15694759,10864943,10854710,7176432,4520657,2717200,1574478,1574482,2717144,2717140,4520551,7176254,10854412,15678677,21723684,29010407,37556584,37556357,37556358,37268508,28736501,21721315,15676990,10853236,10853237,15676994,21721321,29007315,37552972,37582851,29035455,21743706,15692784,12648245,8587648,8587645,10864408,7183189,7183188,10864401,15693843,21745169,29013750,29013749,37557060,29040093,29040095,30305839,29042102,21749815,21747679,15695585,10865465,10865466,15682425,10865438,10865441,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861491,7636382,7636379,7636236,4830967,4830970,7636252,8585752,12644954,17855438,21724930,15679437,10854878,7176531,7176536,10854899,15679474,21724998,29009423,24239475,21731214,15683929,10857739,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7183755,4525726,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,17857105,17857102,24229884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1776939, s2 = 14051292, dlinesl.size( ) = 2 s1 = 1776939, s2 = 14051292, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1776939, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 1777153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1777231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6714865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6901786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6901786, s2 = 7988250, int(edited[s2]) = 0 s1 = 6901786, s2 = 7988250, d1 = 0, d2 = 0 Dl.O(d1) = 259906740,257426424,36963448,256134850,255266146,6950984,6950985,6972156,10570537,9258105,6063537,3793766,2272426,2272425,3793760,254404025,1954641,1116645,1116644,1954639,3323239,5405485,254853569,6058268,6058269,9250394,6974539,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,8116518,12069968,12390185,12390186,17560997,23904913,23264850,17001134,11914557,7969941,268243059,262776035,186508085 Dl.O(d2) = 259906740,257426424,36963448,256134850,255266146,6950984,6950985,6972156,10570537,9258105,6063537,3793766,2272426,2272425,3793760,254404025,1954641,1116645,1116644,1954639,3323239,5405485,254853569,6058268,6058269,9250394,6974539,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,8116518,12069968,12390185,12390186,17560997,23904913,23264850,17001134,11914557,7969941,268243059,262776035,186508085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6901786, s2 = 7988250, dlinesl.size( ) = 2 s1 = 6901786, s2 = 7988250, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6901786, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 1588362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8295932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8394481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6491490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1428831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1428831, s2 = 10209233, int(edited[s2]) = 0 s1 = 1428831, s2 = 10209233, d1 = 2, d2 = 11 Dl.O(d1) = 36989834 Dl.O(d2) = 70848814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1428831, s2 = 10209233, dlinesl.size( ) = 14 s1 = 3392483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6524041, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6596769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1781202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1781202, s2 = 6510173, int(edited[s2]) = 0 s1 = 1781202, s2 = 6510173, d1 = 7, d2 = 2 Dl.O(d1) = 46901974,37024276 Dl.O(d2) = 255395121,254729081,4390494,2630560,2562398,2562397,4285943,6831400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1781202, s2 = 6510173, dlinesl.size( ) = 2 s1 = 1781202, s2 = 6510173, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1781202, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2486823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13224449, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8099858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7924649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10166186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355977, s2 = 10339419, int(edited[s2]) = 0 s1 = 10355977, s2 = 10339419, d1 = 18, d2 = 28 Dl.O(d1) = 269802593,140713211,261699717 Dl.O(d2) = 2636159,1526180,1526179,255031455,257436311,259071658,14061388,17756211,17756210,17619811,17619812,17765059,23800808,23380145,17110041,17110044,268152358,39413641,255728270,19825331,19825332,14202135,9762934,256200961,257287755,257886023,80328585,261536803,262561641,263788713,273955955 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2033797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9697058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9697058, s2 = 10348267, int(edited[s2]) = 0 s1 = 9697058, s2 = 10348267, d1 = 14, d2 = 18 Dl.O(d1) = 109478111,98706895,258052548,58488894,47111079,255832202,21439023,15443822,255033918,21375915,28611184,37121738,37121736,37121735,47008296,58379107,64208091,52357896,52357895,64208089,258972950,77355742,271027725,119575125,105497808,105497809,119736116,133609661,146866227,159239488,170576677,180707534,189604875,187318605,178080646,167617044,262358892,261310762 Dl.O(d2) = 102166177,88175470,74560718,61777296,50297816,40277354,31593021,24089643,17732046,17732045,24089642,31593020,40277353,50297815,61777294,74560712,61777290,61777292,258903083,102166175,89606630,258335553,51210650,41053591,41053590,51210649,62860544,75824399,259588309,117875271,103721590,103721589,117875269,259302778,98718804,257441232,58500630,47121988,37224225,268383290,268918588,47121987,47121986,39312263,39280406,39280397,31447755,31447754,40127547,49239019,60639752,55395712,55395713,257161990,42294404,42294628,42294632,52681163,61641361,63567399,61322220,49838971,49838974,59322147,61628919,50146933,50146934,61628928,74407683,72666622,67729698,67729699,67734941,55395640,55395639,59926415,257659622,64062643,52221219,256094996,25234815,25234814,32243282,24645282,18188887,18188888,24645287,24645329,18188905,18188906,256074177,41035620,41035546,32243293,24645291,24645293,32243297,41035550,38015804,29453566,22119525,22119523,29453560,256924381,59322131,72056564,259363145,99593635,113608887,115805505,101759016,258672302,61401028,49921227,39901624,31224907,23741644,17417182,12275942,12275944,15752951,16714364,12626623,9305566,6095554,3813660,3813658,4546732,4546730,5358379,5358380,8304835,12296306,16387788,19361908,15753362,10909722,10909723,15753363,21819712,255030914,21439862,15444576,10677941,7053218,4439821,2666490,1543969,1543968,1530239,868060,775355,489571,440187,440190,775492,1360629,2348806,3923477,5864622,5864624,5999638,9166572,10664765,255398741,28581409,37086038,46967439,58335358,59891988,48497951,38583052,30010876,30010877,38583054,48497953,59891990,59891986,59891987,72634126,86236749,100204951,114239270,115209481,101131631,87133455,73514721,71842973,61450602,49972731,39956041,31281177,23795144,23795145,31281178,33967732,31997400,31997401,33759206,33759205,30829489,30829488,39433445,37784949,29223135,21907651,15826450,10967594,10967595,15826453,21907656,29223148,37784969,47705876,59104055,53290607,42835506,33799537,33799538,42835512,53290614,53178690,42729260,33699551,33699553,42729269,43025582,35160553,35160552,44537024,42835530,33799549,33799550,42835534,49804256,49804257,60812562,49412391,49412390,55382234,46611701,46611702,57987942,55383477,44537211,44537210,256751162,35160559,44537046,257316920,37796770,29234280,21916951,15833487,15833484,21916944,29234263,37796740,47717288,37796728,29234257,29234250,21916937,21916938,29234254,37796720,44537071,47717640,47717641,47717377,47717376,37796992,29234426,21917040,15833530,10972445,7262722,4580281,4580280,7262717,10972438,15833516,21917011,21917020,21917019,29234393,37796575,47717095,48575311,38659406,255750168,59729913,48346023,48346024,59729915,61208158,59891658,48497619,38582703,30010558,22639358,16450336,16450335,11461833,11461834,16450489,16450455,16450454,22639522,30010764,38582928,48497841,47626333,37703605,29143071,21835387,21222836,15253250,15253249,255808900,21199170,16039672,11137293,7387256,4666930,2811578,2811577,4666927,7387250,11137284,15439256,12853653,12853654,11003765,9917165,9917164,14418692,11002317,7283204,7283206,11002321,9382865,9382864,13700076,17956256,24348112,25478505,21897854,15819204,10962951,7256750,7256749,7282020,5751768,3581431,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850417,6153839,9393392,6996113,267962577,14419574,20108842,15399881,267761260,4420454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9697058, s2 = 10348267, dlinesl.size( ) = 2 s1 = 9697058, s2 = 10348267, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9697058, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 9447624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9447624, s2 = 14163763, int(edited[s2]) = 0 s1 = 9447624, s2 = 14163763, d1 = 36, d2 = 45 Dl.O(d1) = 19595471,19595466,19595465,26321773,34194344,43291993,34194345,34194346,43291995,53817233,65885208,79248980,89718142,75939154,75939153,80347158,66920830,54664203,43921672,34648541,26657209,19843215,256202469,43921669,52046119,41731251,41731250,52046118,52046116,52046117,48498820,38583949,38583948,37788480,29226510,29226509,32095704,32095705,32095801,36418913,28076610,28076611,33350707,35789420,35789419,42332333,47634234,58275375,58275374,58275373,269777331,84552606,72291436,59557151,256710846,38260770,46910425,268134446,21312791,15342565,10597415,6991277,6991276,10597412,15342564,21312789,28535500,37033462,29226267,21910293,15828483,15828484,10969212,10969211,15828686,255757611,14540609,14540608,20266263,20266269,254984383,10004262,14540610,20266267,27190525,27190518,20266259,14540605,14540604,20266257,19445128,13914668,9550111,6266150,3923138,2348582,1360511,775664,440309,440312,275769 Dl.O(d2) = 37703605,29143070,21835387,21222836,15253250,10523110,10523111,15253254,15239817,11137292,7387256,4666930,2811578,2811577,4666927,7387249,11137284,15243441,15243442,21210091,19088938,19088939,25717977,21898167,17965640,12731481,12731480,10673778,7050005,7050004,10673776,12866921,18145140,24590458,31872126,25478505,18876736,18876737,255341656,28581651,21352030,15375856,13713393,13713392,18200818,13047017,13047016,18371825,24869112,24505369,24505368,254458906,15399881,254308410,21382590,15399883,10643786,10643787,15399884,21382591,28619229,37131092,43889863,43896529,43896528,52014203,41703671,41703670,38170856,29603925,22254160,16115729,11194557,7427839,4693665,4693662,7427829,11194539,16115610,16115624,18061978,18061977,256062325,24483973,256571687,31316634,31316635,24484398,18061645,18061646,268031799,9425243,9924670,6522817,6522816,9924667,14427938,15434064,15434063,20117930,17398745,17398746,268437879,256646006,33957379,26120230,19426548,13899543,255296157,26120222,33957364,43013958,53492087,65515501,78847825,92954420,107359271,121740358,135684129,148930686,161242811,172447646,182402326,191107018,194352124,186151799,176742611,166108048,154361802,141712898,128365955,128365954,141712897,154361800,154361805,141712900,128365956,114490093,100465629,86507664,72911161,60174210,48779731,38859504,30274926,22877596,16649257,16649258,22877597,30274929,38859509,48779739,258179329,86507669,100465623,259426861,72911158,72911157,86507659,100465622,114490089,114490087,114490088,128365950,141712896,141712895,141712894,154361798,164406618,152544449,139828370,139828369,259921314,126456303,139828377,261101282,112314887,98331795,84422318,70864937,58150821,58150820,70864936,61371305,49890811,49890812,61371300,49890806,39868653,31186179,31186180,39868654,49890808,258247429,74151505,84587891,71023662,58308143,256856191,28561480,28561481,37062777,46941729,58308140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9447624, s2 = 14163763, dlinesl.size( ) = 2 s1 = 9447624, s2 = 14163763, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9447624, Dl.E( ) = 66, 2.22e-05 seconds used appending s1 = 6748120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6748120, s2 = 8344697, int(edited[s2]) = 0 s1 = 6748120, s2 = 8344697, d1 = 9, d2 = 9 Dl.O(d1) = 16723937,255952891,38947307,257577521,72995708,258046640,71059612,270807347,126471353,126471352,126471353,259466468,259466470,258842110,71117324,84681821,98606885,98606886,98606887,112602296,126471351,259466466,258842110,71117324,84681822,84623086,84623087,258046640,58343373,46974214,37091250,37091249,46974212,46974219,37091251,28585482,28585483,37091253,46974225,47095775,37199891,37199890,47095771,58473548,71194984,84763270,84763277,71195001,71117368,58399714,47027937,47027936,58399710,71117360,84623043,84763236,258056477,58473506,71117393,71117394,58473522,47095751,47095750,47095729,37199867,28677115,21428709,15435829,10671181,7047993,7047992,255035441,21428705,28677106,37199856,47095713,58473463,71194897,84763184,98547145,258046632,258046630 Dl.O(d2) = 16723937,255952891,38947307,257577521,72995708,258046640,71059612,270807347,126471353,126471352,126471353,259466468,259466470,258842110,71117324,84681821,98606885,98606886,98606887,112602296,126471351,259466466,258842110,71117324,84681822,84623086,84623087,258046640,58343373,46974214,37091250,37091249,46974212,46974219,37091251,28585482,28585483,37091253,46974225,47095775,37199891,37199890,47095771,58473548,71194984,84763270,84763277,71195001,71117368,58399714,47027937,47027936,58399710,71117360,84623043,84763236,258056477,58473506,71117393,71117394,58473522,47095751,47095750,47095729,37199867,28677115,21428709,15435829,10671181,7047993,7047992,255035441,21428705,28677106,37199856,47095713,58473463,71194897,84763184,98547145,258046632,258046630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6748120, s2 = 8344697, dlinesl.size( ) = 2 s1 = 6748120, s2 = 8344697, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6748120, Dl.E( ) = 10, 3.81e-06 seconds used appending s1 = 1785568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1785568, s2 = 13094483, int(edited[s2]) = 0 s1 = 1785568, s2 = 13094483, d1 = 47, d2 = 8 Dl.O(d1) = 46975897,37092717,37092716 Dl.O(d2) = 71071595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1785568, s2 = 13094483, dlinesl.size( ) = 2 s1 = 1785568, s2 = 13094483, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1785568, Dl.E( ) = 76, 4.39e-05 seconds used appending s1 = 1785643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9387358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9387358, s2 = 14019309, int(edited[s2]) = 0 s1 = 9387358, s2 = 14019309, d1 = 74, d2 = 73 Dl.O(d1) = 258671869,58348358,58348359,257383248 Dl.O(d2) = 2009992,3374478,1995059,1995061,3386902,5497093,5594872,3471538,3471535,3474135,3731758,3731757,3390995,3390994,5501481,4546099,2732870,2732868,3471350,2058823,1181360,1181362,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007460,650171,360617,360615,650162,1158860,1007879,568034,568033,318172,318170,568049,650030,650032,360565,360570,650064,1158639,2024467,1990747,1137559,1137561,1990754,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,1769698,1008564,568436,568434,1008556,1769689,1176078,660187,660188,1176079,1167716,1167717,2038044,254413193,3403359,5516437,8518182,7899478,5020678,3403384,3403382,5019966,3037755,1768516,1768511,1007841,1007838,1173156,1173154,2046047,3426077,3426078,2732708,1583508,1583507,1583500,1583499,2324804,3882312,5348296,8290358,7215432,4546233,2732949,2732946,4546227,7215421,10910084,8574079,254873461,255305907,16885733,11814901,7892950,254374095,3031960,5013655,5567905,5567888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9387358, s2 = 14019309, dlinesl.size( ) = 2 s1 = 9387358, s2 = 14019309, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9387358, Dl.E( ) = 76, 3.1e-05 seconds used appending s1 = 6547182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6547182, s2 = 8178046, int(edited[s2]) = 0 s1 = 6547182, s2 = 8178046, d1 = 121, d2 = 24 Dl.O(d1) = 255828933,37100628,46984805,58354492,71070788,58354501,58354500,58354495,58354494,71070781,58354484,46984798,37100619,37100620,37100621,258672169,98557391 Dl.O(d2) = 46984798,46984797 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8385524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1786266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9080536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8108912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8108912, s2 = 14376443, int(edited[s2]) = 0 s1 = 8108912, s2 = 14376443, d1 = 70, d2 = 114 Dl.O(d1) = 256703874,32751846,41662897,37116000,37115997,47001842 Dl.O(d2) = 1281504,1281505,2206823,267757638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8108912, s2 = 14376443, dlinesl.size( ) = 84 s1 = 15796295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163026, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8178162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6645662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6723040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13376653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8431895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8431895, s2 = 10138290, int(edited[s2]) = 0 s1 = 8431895, s2 = 10138290, d1 = 19, d2 = 12 Dl.O(d1) = 112599843,259301724,257440180 Dl.O(d2) = 267882798,2653005,1534287,870552,490782,275315,152172,83507,45645,25316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8431895, s2 = 10138290, dlinesl.size( ) = 20 s1 = 6495838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6495838, s2 = 10348530, int(edited[s2]) = 0 s1 = 6495838, s2 = 10348530, d1 = 13, d2 = 8 Dl.O(d1) = 255218115,268461355,255400701,21390788,28629259,37142777,269312439,59980286,48588785,258163821,258787491,270336787,72718856,72718857,86316023,98711472,112707195,114306719,258163818,258787492,112707193,98711470,257440726,270290152,84685539,71121211,58403482,47031371,47031370,58403479,259921611,86314070,72717217 Dl.O(d2) = 273850933,274183975,265845345,274662201,266160995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6495838, s2 = 10348530, dlinesl.size( ) = 14 s1 = 14163350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163350, s2 = 14232059, int(edited[s2]) = 0 s1 = 14163350, s2 = 14232059, d1 = 2, d2 = 11 Dl.O(d1) = 89154962 Dl.O(d2) = 24457682,18039378,255605871,255397456,15407072,254730640,254499987,255033383,21391773,28630427,28630428,37144116,47032813,58405095,58405105,71122935,84687309,98612069,112607206,126475910,139847360,139847361,139847367,152560772,164419517,164419514,152560771,139847364,126475911,126475912,139847366,152560773,164419518,175203752,175203754,175203753,184774348,193131344,193131340,193131341,200303197,200303200,200303199,193131342,193131338,193131339,200303195,195788870,187845484,178737772,168428499,156978677,144578737,144578736,131354678,117555083,103426350,89333517,75575441,62635821,51012112,40876425,32104054,24527979,18096092,18096091,24527978,32104052,31255075,31255074,39930170,31255930,26935628,20049417,20049418,16018081,15514213,12295846,8304604,8304605,12295852,17443215,16086343,11172523,11172518,16086331,22217847,29563333,32447457,35034852,44409320,48042211,41368975,39931237,39931236,35121551,31327719,23836465,23836467,31327722,40005743,40841051,32071589,24499425,24499424,32071587,39937018,268458944,61432202,50890718,50890719,62489842,75407928,89154973,103244863,100846324,86865046,73252002,60505021,49100845,255700680,23154528,16893213,13452508,9199746,6023260,6023259,8700341,9227162,12622187,9214549,9214550,9339077,9339076,8545555,8545557,5567868,5567866,5567890,3451859,3451800,3451798,5567788,8571868,8612654,12584207,17753844,12562069,12533348,8495157,8495155,9672848,6361947,3991898,2392393,2392394,3991905,6361014,8260791,8260790,8545549,8545548,12564208,12564207,8519285,5517505,5517504,5517511,8519300,12564247,8572991,8572990,12292574,12627346,12625710,12584267,8536813,5534799,5534800,8536818,12584278,12594459,12594457,8574294,5570194,5570197,8574301,12626020,12625948,12625949,12584145,12584144,17781083,14061415,12562044,12562043,13923422,9556853,6270961,6270962,9556846,13923413,19455889,268031370,254941138,255692516,31580913,31580914,32521337,24878091,18380177,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127612,37689645,41405202,42449186,33456022,25684155,24199662,24199663,31707053,40398884,40399121,46400022,46400021,57750910,61911805,254964234,31694213,24185812,17817198,12614664,12614665,17817200,24185817,31694215,33514011,31170786,23683006,17362751,12232658,8259937,8259939,12232665,17362765,23683025,31170814,24200663,17831414,12626268,8572082,5567931,3451882,3451883,5567933,8572087,10910419,15754060,21820434,26349408,26349420,26349425,33432844,40399701,36992022,36992023,41316149,32470708,32470709,34627433,33433027,25663692,19043844,19043841,25663590,25663589,33432927,42425308,52829509,64748932,258043274,52832547,58125907,70840523,72832197,60094941,60094940,50123547,40103367,40103368,257658057,61603398,74379962,259513323,116000132,129898173,143227424,155777993,167408474,170574168,170574169,180705014,261655504,146863734,133607048,119733472,105495107,91272887,81539847,68053013,64205231,64205230,77352948,81539850,68053017,55656273,44748134,35322106,35322105,44748132,55656270,68053012,55656276,44748137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163350, s2 = 14232059, dlinesl.size( ) = 2 s1 = 14163350, s2 = 14232059, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163350, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 6547505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6547505, s2 = 2494576, int(edited[s2]) = 0 s1 = 6547505, s2 = 2494576, d1 = 6, d2 = 6 Dl.O(d1) = 255831755,256862425,58410443,71128410,71128409 Dl.O(d2) = 255831755,256862425,58410443,71128410,71128409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6547505, s2 = 2494576, dlinesl.size( ) = 2 s1 = 6547505, s2 = 2494576, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6547505, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8224669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8224669, s2 = 7651268, int(edited[s2]) = 0 s1 = 8224669, s2 = 7651268, d1 = 39, d2 = 26 Dl.O(d1) = 22058354,15954177,11072026,7341558,7341557,11072025,15954175,22058348,29389015,37954179,46405535 Dl.O(d2) = 270996736,256598956,18228315,16415365,15747341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8224669, s2 = 7651268, dlinesl.size( ) = 24 s1 = 6590953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6590953, s2 = 8044674, int(edited[s2]) = 0 s1 = 6590953, s2 = 8044674, d1 = 4, d2 = 10 Dl.O(d1) = 256317590 Dl.O(d2) = 25334255,18754971,13354415,13354414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6590953, s2 = 8044674, dlinesl.size( ) = 20 s1 = 14163044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1609573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1439183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13241169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13241169, s2 = 1439231, int(edited[s2]) = 0 s1 = 13241169, s2 = 1439231, d1 = 12, d2 = 4 Dl.O(d1) = 10883330,7199288,7146712,7146713,7144064,4498401,2725506,1579244,1579246,2725508,4534052,7196813,4979542,4979540,3007949,3007950,4979559,4062589,4062587,4500257,4062530,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,2724597,1578793,897618,897621,1578802,2724224,1578766,897608,897609,1578769,2724547,1628336,925931,925933,1628347,2806868,2433687,2433684,2454228,2454225,2433610,2433608,4066863,4536826,4498888,2703305,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,2439622,1410530,1410525,2439597,2703697,2703695,2440087,2440092 Dl.O(d2) = 37169270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13241169, s2 = 1439231, dlinesl.size( ) = 2 s1 = 13241169, s2 = 1439231, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13241169, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 1341457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13595677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13595677, s2 = 13236380, int(edited[s2]) = 0 s1 = 13595677, s2 = 13236380, d1 = 70, d2 = 77 Dl.O(d1) = 74082174,87689182,74916955,257693285,40571356,40571357,257693289,65111803,65111802,71170877,58448598,47071615 Dl.O(d2) = 42675895,49821338,39800540,31119982,23633401,23633402,31119988,39800546,49821348,50613141,50613414,40571428,31868802,24345686,17954348,12723171,12723170,17954344,24345679,25843078,33646479,31868617,24345571,17954259,17954260,12723248,12723247,255600101,31869098,40571834,50613681,50613680,62113122,270022627,78394677,65111791,65111790,53126141,42675406,42675405,256673949,33646974,42676479,37178077,37178078,47071628,257649536,42676287,33646831,33646832,42675913,53126654,53127131,59939603,48547235,42676474,33646972,33646971,42676473,53126549,256673879,25843074,33646471,42675812,35127774,34894818,26833019,19964036,19964037,26833020,34894820,44255322,55091535,58572097,47183409,37277305,36859193,28361082,21145629,21145631,28361084,36859196,46740873,58111015,70826143,84383792,98292600,98963071,85038198,71466308,71466309,85038201,98963077,88555428,74916978,74916977,74916976,88555425,102561647,116660227,261332981,127205722,127205721,140551845,153233360,150542553,137513710,123791614,257823584,256673812,78263552,64990000,53014919,53014920,64990001,71861608,59123111,47724923,47724924,59123112,71861610,85446768,85065041,71492326,58761999,47374455,47374454,58761997,71492319,71861853,71861854,71954732,59216206,47817641,47817642,59216208,256156624,95819149,84034137,84034138,75808485,75808486,89590858,99387828,85446794,71861626,59123124,59123122,62003348,74799868,88432315,74799869,74799870,88432320,100246222,99376270,85434925,71849361,71492314,71492315,71861652,71861653,59880510,48488957,38575824,38575826,36875311,28378463,21161031,19174813,19174814,25826419,28378430,21161001,15204652,10487511,10487512,15204654,19174836,25826450,33628411,25826427,19174821,13692762,13692761,19174819,25826422,256155345,19174843,19174842,25826459,33628460,42657337,255431148,47309933,37400479,28859203,28859205,28859650,21586086,15561185,10763391,7111689,4477760,4477758,7111684,10763384,15561180,21586079,28859640,33133511,33133512,38338247,33123808,25387664,255258349,9156581,9156580,13393860,18801823,25387657,33123793,42072972,37414730,37414731,33125113,25388819,25388818,33125111,42074490,255548144,25395835,25395836,33133482,25395834,25395833,33133480,42084934,256338644,47310332,37400941,28859648,28859647,33123790,25387656,25387655,33123787,42072966,39207301,30611154,30611153,255413672,39768913,37393837,37393839,47303135,43355532,34255604,26378222,19644384,19644387,25453074,26378234,33199779,25453068,25453069,33199786,42159657,43355769,53880361,59635734,48248701,38338139,38338137,34255938,26378503,256187433,43355843,43355779,34255833,34255834,43355784,256879804,269319444,47308436,53880314,43355705,256338382,43355761,42098016,42098015,52450998,53880318,53880251,43355633,43355635,53880254,53880214,43355585,34255654,26378252,255306859,14080047,19644402,26378247,33143716,33143714,38812225,30229448,30229449,38812226,33828814,26010831,26010832,33828817,257242119,42870014,33828856,33828855,30227657,22835991,16614722,11588877,11588876,16614718,22835987,30227652,30227724,22836034,16614752,11588893,7714072,4882365,4882364,7714069,11588888,16614744,22836023,30227707,37899132,47821012,59219274,258730829,258798301,257834673,34255774,26378346,19644457,19644458,26010856,26010855,33828845,42870005,46213469,46213468,46213476,48730605,38810339,38810338,46308150,257095035,40379276,37399114,28858082,28858081,37399111,47308445,50413920,61904459,71430796,58698489,47308467,47121578,47121579,47121212,37223518,37223519,47121214,37399037,37399038,37742397,47664311,47308425,37399099,28858074,28858073 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1791219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 576249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039443, s2 = 3366267, int(edited[s2]) = 0 s1 = 14039443, s2 = 3366267, d1 = 26, d2 = 46 Dl.O(d1) = 22175368,16050448,11144652,7392071,7392068,11144638,16050424,22175320,20864799,16174507,16174505,18738525,25316022,25316021,28677942,37200759 Dl.O(d2) = 138736917,125413233,111614307,111614308,125413235,138736921,138736927,125413239,111614314,97695802,97695800,111614310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039443, s2 = 3366267, dlinesl.size( ) = 2 s1 = 14039443, s2 = 3366267, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14039443, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 9426800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9426800, s2 = 9403654, int(edited[s2]) = 0 s1 = 9426800, s2 = 9403654, d1 = 0, d2 = 0 Dl.O(d1) = 254097865,876001,1542126,2663876,4436347,7048546,7048539,4436342,4436343,7048540,10671845,15436718,21429809,28678377,21429810,15436719,15436720,21429812,28678383,37201238,47097186,47097187,48934910,39011430,30421940,30421941,39011432,48934909,52278538,50931296,40812024,40812023,40812022,40812021,50931294,62534851,75457328,257886628,87067749,73450412,60702287,255439850,17082242,11994535,8046319,5136430,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,6429889,4033880,4033879,6429887,9779482,14225612,11953516,8001970,5094226,5094228,8001963,255142769,14245645,9792821,6437853,4038397,2419860,2419862,254467411,9792827,14245658,19882293,26688962,255379540,9786438,6434018,4036227,4036229,6434021,254467179,4036635,6434800,254966745,19872939,26692798,31029869,23548796,23548795,23549016,19864121,19864123,24575821,19869834,14245838,14245839,19882435,25305741,26684427,19865918,19865920,26673259,26673258,26703451,26703453,34697952,26703989,255319203,9793135,6438031,254683775,14246124,14236154,254932542,19435872,14237144,14237143,19871058,26690374,31769714,24257557,24257556,31769711,40464440,49216168,53549824,47182273,37276132,28743585,21485512,15481313,15481312,21485510,18778443,18778445,15481871,10706024,10706023,11957497,8004675,8004679,11957479,17044895,18151608,24598668,32185803,40965097,46918637,37040660,28541771,28541772,37040662,33161995,25420755,18828517,13414941,9172213,6003348,6003349,9172214,13414942,15354790,15354791,19186425,15356841,255397111,14418843,14422809,20111518,20106573,14416651,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,6569433,5675588,3530020,2100810,1209608,1209609,254287583,254624645,3734228,2235751,2235753,2310409,3856368,3733352,3733353,5969824,8960780,5998604,254648647,13405568,18817055,13405447,9165099,9165100,13405449,18817060,25407617,33148074,28651324,28651323,37168499,47060263,58435675,58374735,47004556,47004558,58374738,49323385,49323384,256766454,47004560,37118562,28608606,21373862,20245838,20245839,27157456,35256495,44640980,55490985,67832205,81297992,75422858,62503923,58374723,58374724,71090796,75422867,75422861,62503917,50903477,50903476,62503916,75422859,71090804,58374733,58374734,71090806,84653267,75422857,255710202,40786815,40786814,256698938,268458435,24467756,32029999,31892701,255601295,5628204,254620549,12734017,17969039,24364679,31892699,40601553,50651502,49017921,39088212,30491497,23077969,23077970,30491455,39088133,49017803,256325572,255403412,254733786,20274999,20275000 Dl.O(d2) = 254097865,876001,1542126,2663876,4436347,7048546,7048539,4436342,4436343,7048540,10671845,15436718,21429809,28678377,21429810,15436719,15436720,21429812,28678383,37201238,47097186,47097187,48934910,39011430,30421940,30421941,39011432,48934909,52278538,50931296,40812024,40812023,40812022,40812021,50931294,62534851,75457328,257886628,87067749,73450412,60702287,255439850,17082242,11994535,8046319,5136430,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,6429889,4033880,4033879,6429887,9779482,14225612,11953516,8001970,5094226,5094228,8001963,255142769,14245645,9792821,6437853,4038397,2419860,2419862,254467411,9792827,14245658,19882293,26688962,255379540,9786438,6434018,4036227,4036229,6434021,254467179,4036635,6434800,254966745,19872939,26692798,31029869,23548796,23548795,23549016,19864121,19864123,24575821,19869834,14245838,14245839,19882435,25305741,26684427,19865918,19865920,26673259,26673258,26703451,26703453,34697952,26703989,255319203,9793135,6438031,254683775,14246124,14236154,254932542,19435872,14237144,14237143,19871058,26690374,31769714,24257557,24257556,31769711,40464440,49216168,53549824,47182273,37276132,28743585,21485512,15481313,15481312,21485510,18778443,18778445,15481871,10706024,10706023,11957497,8004675,8004679,11957479,17044895,18151608,24598668,32185803,40965097,46918637,37040660,28541771,28541772,37040662,33161995,25420755,18828517,13414941,9172213,6003348,6003349,9172214,13414942,15354790,15354791,19186425,15356841,255397111,14418843,14422809,20111518,20106573,14416651,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,6569433,5675588,3530020,2100810,1209608,1209609,254287583,254624645,3734228,2235751,2235753,2310409,3856368,3733352,3733353,5969824,8960780,5998604,254648647,13405568,18817055,13405447,9165099,9165100,13405449,18817060,25407617,33148074,28651324,28651323,37168499,47060263,58435675,58374735,47004556,47004558,58374738,49323385,49323384,256766454,47004560,37118562,28608606,21373862,20245838,20245839,27157456,35256495,44640980,55490985,67832205,81297992,75422858,62503923,58374723,58374724,71090796,75422867,75422861,62503917,50903477,50903476,62503916,75422859,71090804,58374733,58374734,71090806,84653267,75422857,255710202,40786815,40786814,256698938,268458435,24467756,32029999,31892701,255601295,5628204,254620549,12734017,17969039,24364679,31892699,40601553,50651502,49017921,39088212,30491497,23077969,23077970,30491455,39088133,49017803,256325572,255403412,254733786,20274999,20275000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9426800, s2 = 9403654, dlinesl.size( ) = 2 s1 = 9426800, s2 = 9403654, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9426800, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9692742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14532639, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13553793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13553793, s2 = 10355924, int(edited[s2]) = 0 s1 = 13553793, s2 = 10355924, d1 = 39, d2 = 42 Dl.O(d1) = 152944,152940,277435,254120141,1544827,2667734,4441426,7055282,10680644,15448078,21444121,28695557,37220981,36434036,36434037,46287035,57631696,70322468,71218722,58496864,47118498,47118497,58496860,71218718,84787555,71218708,258124544,84787563,84787564,72191921,59453989,48062817,47114009,37216865,29583925,22236047,22236046,254769952,47118531,58496893,71218748,84787588,98715267,112710610,99739785,85785936,72191914,59453980,48062801,38150076,29583937,22236053,16100973,16100974,22236055,268634195,28695566,37216864,28691900,254734446,10680637,7055279,254334957,1544827,2667734,4441426,7055282,10680644,15448078,21444121,28695557,37220981,36434036,36434037,46287035,57631696,70322468,71218722,58496864,47118498,47118497,58496860,71218718,84787555,71218708,258124544,84787563,84787564,72191921,59453989,48062817,47114009,37216865,28691902,21441029,21441028,254734446,10680637,7055279,255835945,37220943,47118472 Dl.O(d2) = 273979829,263092935,164342814,152474108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13553793, s2 = 10355924, dlinesl.size( ) = 28 s1 = 9474013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9474013, s2 = 1793593, int(edited[s2]) = 0 s1 = 9474013, s2 = 1793593, d1 = 6, d2 = 9 Dl.O(d1) = 38168111,48080961,59471613,72209320,85803634 Dl.O(d2) = 28697405,37223148,47120884,58499467,71221534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9474013, s2 = 1793593, dlinesl.size( ) = 2 s1 = 9474013, s2 = 1793593, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9474013, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10216012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8006244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6445078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6445078, s2 = 5252891, int(edited[s2]) = 0 s1 = 6445078, s2 = 5252891, d1 = 131, d2 = 202 Dl.O(d1) = 254510576 Dl.O(d2) = 218340058,218340057 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8016149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8016149, s2 = 6975828, int(edited[s2]) = 0 s1 = 8016149, s2 = 6975828, d1 = 61, d2 = 45 Dl.O(d1) = 28725549,28725550,268385016,21468877,268072341,7065618,4448641,4448640,7065616,10694965,255837785 Dl.O(d2) = 260848079 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9129592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9129592, s2 = 8667404, int(edited[s2]) = 0 s1 = 9129592, s2 = 8667404, d1 = 30, d2 = 36 Dl.O(d1) = 48769915,269783824 Dl.O(d2) = 261661461,164400608,262654136,173706364,261100192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9129592, s2 = 8667404, dlinesl.size( ) = 32 s1 = 6623067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1444146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1444666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1444877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9694892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7905994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7905994, s2 = 2700365, int(edited[s2]) = 0 s1 = 7905994, s2 = 2700365, d1 = 73, d2 = 76 Dl.O(d1) = 46482747,42561899,34676324,26702643,19881641,14245178,9792522,6437676,6437677,4876953,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705518,15481183,21485334,28743371,37275930 Dl.O(d2) = 133612083,119738400,105499992,91277826,77357889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7905994, s2 = 2700365, dlinesl.size( ) = 12 s1 = 10154850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154850, s2 = 13244792, int(edited[s2]) = 0 s1 = 10154850, s2 = 13244792, d1 = 1, d2 = 1 Dl.O(d1) = 47897250,37979959,29417034,22086638,15980364,11093790,7357458,7357457,11093788,15980360,22086631,29417019,37979924,47897212,39928484,31253299,23769015,17440946,17440947,23769018,31253303,36630590,28156407,28156406,255903666,36990143,28492970,28492969,36990138,46868724,47897189,42731104,33701276,33701277,40911951,51053879,62684575,70826411,70826422,58111376,58111377,58111365,58082881,46711393,36828963,28332775,28332774,36828960,46711389,36859647,31372356,31372354,40053351,50073109,61551448,71524671,58795393,47408360,37500829,28957877,21676500,15637856,15637858,21676505,28957888,256887215,58795408,61249490,49770804,49770806,268912484,74008357,268607478,39729734,39729733,49748623,57711886,46362591,36504424,28041058,28041059,36504427,46362593,50467405,40429482,31735258,24226679,17854873,267891232,31735244,40429469,50467401,47205347,47205346,58595741,71328744,258688788,257453384,31051038,23566965,23566966,31051053,38306596,268945377,37299172,28766289,28765401,28765400,37298362,47205192,48312434,255976290,38398383,30196267,22805472,16588052,11567942,11567943,16588054,12563905,8519010,5517265,5517266,8519012,12563908,10766341,7113464,4478764,2690949,2690948,4478757,7113448,7146166,4874607,4874605,7702168,11571381,11573600,7703701,7703700,11573594,11573570,7703684,7703685,11573575,15627978,15627977,21663535,28942134,30204063,38788806,48711050,60106565,72843092,74352129,270000226,50095527,40074689,31393183,23899033,17553855,12383366,8367972,8367971,12383365,255568311,16898566,16898565,12385814,254595743,5401594,7902862,5023603,5023602,7902858,8369621,10539947,7463999,4716787,2841629,2841628,2841598,2841599,4716712,7463837,11244399,8602319,5590054,5404266,3322568,3322565,5404253,8373748,12391193,17562126,23905943,31398669,40079619,50100327,61580229,74357023,87959273,101932119,115976670,129874387,143204083,155756436,151766214,139064514,125725972,111908665 Dl.O(d2) = 47897250,37979959,29417034,22086638,15980364,11093790,7357458,7357457,11093788,15980360,22086631,29417019,37979924,47897212,39928484,31253299,23769015,17440946,17440947,23769018,31253303,36630590,28156407,28156406,255903666,36990143,28492970,28492969,36990138,46868724,47897189,42731104,33701276,33701277,40911951,51053879,62684575,70826411,70826422,58111376,58111377,58111365,58082881,46711393,36828963,28332775,28332774,36828960,46711389,36859647,31372356,31372354,40053351,50073109,61551448,71524671,58795393,47408360,37500829,28957877,21676500,15637856,15637858,21676505,28957888,256887215,58795408,61249490,49770804,49770806,268912484,74008357,268607478,39729734,39729733,49748623,57711886,46362591,36504424,28041058,28041059,36504427,46362593,50467405,40429482,31735258,24226679,17854873,267891232,31735244,40429469,50467401,47205347,47205346,58595741,71328744,258688788,257453384,31051038,23566965,23566966,31051053,38306596,268945377,37299172,28766289,28765401,28765400,37298362,47205192,48312434,255976290,38398383,30196267,22805472,16588052,11567942,11567943,16588054,12563905,8519010,5517265,5517266,8519012,12563908,10766341,7113464,4478764,2690949,2690948,4478757,7113448,7146166,4874607,4874605,7702168,11571381,11573600,7703701,7703700,11573594,11573570,7703684,7703685,11573575,15627978,15627977,21663535,28942134,30204063,38788806,48711050,60106565,72843092,74352129,270000226,50095527,40074689,31393183,23899033,17553855,12383366,8367972,8367971,12383365,255568311,16898566,16898565,12385814,254595743,5401594,7902862,5023603,5023602,7902858,8369621,10539947,7463999,4716787,2841629,2841628,2841598,2841599,4716712,7463837,11244399,8602319,5590054,5404266,3322568,3322565,5404253,8373748,12391193,17562126,23905943,31398669,40079619,50100327,61580229,74357023,87959273,101932119,115976670,129874387,143204083,155756436,151766214,139064514,125725972,111908665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10154850, s2 = 13244792, dlinesl.size( ) = 2 s1 = 10154850, s2 = 13244792, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10154850, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9669484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8068719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8068719, s2 = 14112356, int(edited[s2]) = 0 s1 = 8068719, s2 = 14112356, d1 = 17, d2 = 34 Dl.O(d1) = 20071391,20071392,256215911,30465551,30465550,37435657,28894613,27970518,27970517,269361906,7132027,10794706,11693550,16737299,268227163,16267965,21636507,21636508,15814897,15814898,21518731 Dl.O(d2) = 101595218,260697763,129520916,115635726,101595215,87627952,74023987,61243651,61243652,74023983,270894542,260697759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8068719, s2 = 14112356, dlinesl.size( ) = 2 s1 = 8068719, s2 = 14112356, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8068719, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 7985083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7985083, s2 = 8073574, int(edited[s2]) = 0 s1 = 7985083, s2 = 8073574, d1 = 61, d2 = 64 Dl.O(d1) = 12114102,17232539,255992861,39698846 Dl.O(d2) = 254532003,11280362,7488196,7488198,268086743,7488623,7488624,11281065,11280187,11280186,11280316,11280317,7488537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7985083, s2 = 8073574, dlinesl.size( ) = 2 s1 = 7985083, s2 = 8073574, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7985083, Dl.E( ) = 86, 3.6e-05 seconds used appending s1 = 9692980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1799184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9190778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13472863, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13388155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1448536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164104, s2 = 9372745, int(edited[s2]) = 0 s1 = 14164104, s2 = 9372745, d1 = 14, d2 = 17 Dl.O(d1) = 98704943,98704942,84776710,84776709,81605868,68117244,55720921,44814438,256537174,20329634,14589953,14589952,20329633,27264190,35389714,44814427,55720910,47754622,47754623,50142377,40121174,40121173,268946027,29754287,29754288,38323811,47754629,37832100,29266117,21944134,15855446,10989510,7274759,254756419,8309970,5361968,3296206,1938637,1938638,3296208,5361973,8309979,12303264,8309955,8309954,12303263,17452771,23782953,31268065,39942762,257644559,61437552,74216654,257515916,268634434,34169480,26301437,19578147,14025420,14025419,19578144,21167108,15209818,10491823,10491822,15209816,21167106,28385203,32443516,24809021,24809022,24880608,18382483,18382484,24880610,32524100,41373309,40549259,268133668,24331123,31851061,40549257,46788776,36911065,28413577,21191955,21191956,28413581,36911071,46788788,47750502,42172835,33213354,33213355,42172837,52530753,255952008,91503215,105727763,119963532,133831004,133022380,119187139,104992242,90814715,76938847,63831525,52016500,41706062,257081944,25092246,18546179,13177646,8982599,5864379,3661236,2190581,1271458,1271459,2190585,3661229,5864361,8982571,13177590,255642435,22191296,22191224,22191058,22191057,23151264,25092278,25092277,22190993,16063115,11153677,7398130,7398131,11153678,16063117,22190999,29337093,22005699,22005698,16063295,11153787,11153788,16063297,22191263,29534082,22190972,22190973,29534084,29534323,29534324,256103675,18546094,18546093,16063181,11153714,7398150,4673721,2815732,1633550,1633548,2815728,4673715,7398139,11153697,16063148,22191038,29534153,37004652,38098364,29534300,29534299,37308559,32817466,25113843,255243745,8992689,8992690,8992720,5871159,5871158,8992718,13191520,18563654,25113947,28806706,28806705,37344742,47254158,58646497,272239514,272186357,152757101,272823902,127553407,113682653,99669829,85722259,72137932 Dl.O(d2) = 257413200,16074508,11162288,11162285,16074516,16472424,16472425,22667780,30043070,256970005,258159867,51095517,40952329,32172731,24586663,18142269,12865051,8749204,5696412,3544354,3544353,5696410,8749200,12865044,255614395,256580585,31411828,23922136,17580994,12408972,8386739,5411953,3326801,3326800,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,13538411,15464458,17666132,17666133,22776749,23737662,17412806,12271604,8286784,8286783,8402997,8402996,12433396,13510794,9244520,6054664,3788779,3788778,6054660,6054545,254300939,1316580,1316579,2269867,3788714,6054536,9244316,13510525,18947280,21039220,21039219,28237435,36732049,46620226,51603295,43877471,43877472,46604347,36716226,28223275,21039199,21039200,28237404,26149518,26149514,33990481,26340963,26340547,19611989,19611986,26337459,19609106,14051114,14051115,19609113,22592424,16409465,16409466,22592430,29956855,38521871,38521769,29956753,29956752,34977120,42302957,33322160,25560122,18947287,268209256,255305098,22592389,16409450,11425481,11425480,16409448,22592383,29956782,32528507,34211391,34211393,43309665,39337128,30738414,23318323,17053891,11963489,8008420,5098161,3094413,3094412,5098156,8008407,11963468,17053847,23318248,30738311,39336980,39337365,39337364,48429622,43020666,38769770,30185882,22796006,19610371,19610372,26338884,34212619,29956818,29956817,38521828,38349835,29777678,22413119,22413117,29777675,26341148,19612524,19612525,26337656,19609259,14051221,14051220,9663747,6354654,6354655,9663751,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354733,9663911,10719103,10719118,7081863,7081862,10719111,15499731,21508533,19609065,14051085,14051084,19609062,26337406,21508638,21508640,28769503,37302869,47209592,53837057,53837056,59928515,257265616,37522691,37522690,47430251,58816696,71545038,85116206,99041137,113029564,262193697,175503613,170516420,159174632,269320212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164104, s2 = 9372745, dlinesl.size( ) = 2 s1 = 14164104, s2 = 9372745, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164104, Dl.E( ) = 18, 2.69e-05 seconds used appending s1 = 8672444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8070001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1801761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6600487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163318, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9477777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163034, s2 = 14163359, int(edited[s2]) = 0 s1 = 14163034, s2 = 14163359, d1 = 6, d2 = 6 Dl.O(d1) = 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241636,7646192,254362065,1691052,961621,961620,1691049,2081317,2150066,2082339 Dl.O(d2) = 259311189,71263204,257745442,53063804,62750628,75697785,89462895,103561356,117696573,131502836,144729146,156222925,143692525,130365711,130365710,259728314,121153889,134963964,148087271,143692521,259728310,116527327,116527326,105980390,91785861,77863226,77863227,91785863,105980394,116527340,102430350,102430351,102430340,102430341,271797591,116527316,102430332,102430333,116527320,127495821,113622741,99608108,99608107,102430328,113622754,99608121,99608122,99608133,85658722,72071694,59337495,257503492,29469309,255885740,11121800,7376864,4660417,4660422,2808625,1629344,926473,522201,522200,926441,926443,1629275,2808508,4661797,7379051,11125119,16022997,11125734,7379465,4662052,3364428,3364426,2808702,1629387,1629389,2808708,4662105,7379535,8463666,5469429,3364033,3364034,5469432,8462870,5468652,5468651,8462866,8463119,5468890,5468889,254603149,3363458,3363456,5468863,8463090,8465224,8465225,8466406,5472309,3367103,3367100,5472300,5469386,5469389,5471020,5471019,8465254,8465222,8465221,5472508,5472166,3366939,1981033,1981032,3367089,3364476,3364480,1979865,1130550,634000,633997,1130541,1131343,1131349,634559,633970,633969,1130498,1979794,254408819,3365110,1979234,267800807,1977426,1128824,632988,351348,192461,192460,351345,351433,351434,633180,1129192,1977997,1978399,3364237,3367636,3363763,1977962,1977963,1981246,254274209,1978144,1129283,633241,351466,351467,633245,1129288,1978151,3363946,1979172,1130049,633656,351678,351680,633664,1130059,633770,352386,192969,105284,57867,32558,18713,18712,32554,57858,105158,105157,192699,351814,267755881,254274051,5470446,5470727,3365404,3365403,3367716,267772741,634765,352262,352264,634769,1131814,267800757,1977472,3363128,5467424,3362052,3362051,1981554,1131771,1131770,254274237,5467565,5467563,5231314,5231144,3192490,3192491,5231148,8160311,5230969,3192497,3192501,1868577,1065893,599119,333797,183660,100657,100656,183655,333788,599097,1065853,1868504,3192445,3365979,5231084,5231202,5467597,5467307,3361924,3361925,3192267,1868401,1065798,1065799,1868406,1977254,1977253,1977313,1977312,3362963,3362466,1976962,1976965,3362473,5467847,5231324,5230823,5230824,8160140,8160458,5231452,3192705,254389943,5230789,3192221,3192222,5230792,3192526,3192527,254578247,5231189,3192519,3192518,5231186,3367915,3367914,3367905,3367906,5473117,8465171,8465172,12497262,12493510,12493511,17667674,24015921,23555959,23555960,17247331,17247329,23556416,24015573,24015572,17675966,17675967,255994335,17246914,17246913,23555940,31037983,256415156,24019314,17670410,17670413,17673599,24015960,24015959,24015864,17673521,12498002,12498003,17673526,20181356,20181359,20181368,20181367,22153541,16033348,11132741,7384471,4665310,4665308,7384461,11132726,16033321,16033400,16033399,22153616,22153598,16033390,16033389,22153597,29492534,29492535,24016199,17667888,12493699,8462231,5467994,3362635,3362636,5467998,8462240,12493724,12493676,8462219,8462218,12493671,12489502,12489503,17661841,14526579,9995253,9995252,14526576,12498157,12498156,12498260,8466056,5471902,3366640,1980675,1980676,3366643,5471907,8466065,12498272,17673950,24023925,17673941,17673940,17667953,17667952,17919216,24302707,31517329,24015934,24015931,31517324,31517577,31517578,27156038,27156040,24016183,17667875,12493692,12493693,17667880,17667976,24016343,31517697,31507465,24007974,17661872,12489524,8459269,5465843,5465844,8459276,12489545,17661913,17674761,17674764,24024772,31525678,256535997,40205635,31519332,24017772,24017773,31519334,40205638,257083543,40212308,31526622,31526623,40212310,40212320,31527574,24025432,17675117,17673841,17673843,24023777,31525708,31526600,40204155,40204154,40213168,31527313,24025258,17675019,17675020,24025086,31526882,40212689,31527498,31527499,40212555,269403267,50233158,40212609,40212610,50233160,61712530,50232398,40212670,40212270,257083531,40213318,50233235,40212697,256030237,17674875,17674876,17674979,17674980,24025192,31527105,40212330,31527595,24025450,24025448,31527591,40212513,40212941,40212901,31527074,31527073,31526906,31526582,31526581,40212265,31527079,31527078,40212359,40212356,38186670,29619620,22268650,16127622,11203393,11203394,16127627,22268665,29619645,38186711,38186633,38186632,40212658,31526860,31526859,38186597,48098118,59486786,61713379,60570537,59486649,48097914,38186419,29619482,29619481,38186417,48097910,49171603,39246415,39246414,49171600,58248721,46881552,46881553,44482697,40208816,40208818,40213976,40213980,38867756,30282091,30282056,30282055,38867697,38867729,31521404,24020016,17670971,17670970,24020011,30281970,22884353,16655616,11623160,11623161,16655622,22884365,28504898,37002681,46881408,48533596,48533598,40207274,31521420,24020023,24020024,25269361,32993462,41934169,44482687,50228532,40207180,40207179,50228527,50229142,50229141,40207942,40207943,50229166,59208023,50068257,40048955,40048953,38349169,37591494,37591495,38867765,30282095,22884417,16655651,16655650,255946705,256542352,40207234,38867599,30281998,30281997,22884390,16655637,11623167,11623166,16655632,22884383,30282024,388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241636,7646192,254362065,1691052,961621,961620,1691049,2081317,2150066,2082339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163034, s2 = 14163359, dlinesl.size( ) = 2 s1 = 14163034, s2 = 14163359, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163034, Dl.E( ) = 8, 2.79e-05 seconds used appending s1 = 7890505, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1803246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1803246, s2 = 10142154, int(edited[s2]) = 0 s1 = 1803246, s2 = 10142154, d1 = 7, d2 = 29 Dl.O(d1) = 47307050 Dl.O(d2) = 10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702256,10631828,10631831,12816138,12816140,13714414,11000082,7281612,7281613,11000096,13154580,13154579,18514391,268482239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1803246, s2 = 10142154, dlinesl.size( ) = 2 s1 = 1803246, s2 = 10142154, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1803246, Dl.E( ) = 42, 1.6e-05 seconds used appending s1 = 6856090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7926642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9415894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8037446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8037446, s2 = 6634792, int(edited[s2]) = 0 s1 = 8037446, s2 = 6634792, d1 = 18, d2 = 3 Dl.O(d1) = 256526310,28459162,28459161,36959468,46838580,47162045,37256735,37256736,47162047,47162053,47161865,37256541,37256540,46476261,36610264,255796699,20958521,17595817,17595816,23939931,31431079,31582324,24076681,24076682,28544386,22817391,16598275,16598278,22817415,21593231,15566702,268172876,4479126,4479226,4479225,2945092,1707964,1707966,1559114,1559111,2691338,2945152,2945149,4887374,7721384,11599219,255943397,256341296,28909851,21635290,15603593,10794718,255416011,11333029,11333028,16289668,17459656,12308490,12308491,10475202,10475201,15186359,21136347,28349592,268198720,18586135,13207874,9003573,5877671,3669621,2196511,2196509,3669680,5877854,3669687,3669683,5877879,5877967,5877969,9004237,13208971,18587509,257176477,29691230,38256588,48165971,59552637,52083726,256990562,257176475,257008505,255963019,16862408,16862409,23122593,27211838,35336166,256009090,22627766,22627767,28917874,255169818,7136503,7136502,8391476,5415299,3329046,1957915,1118408,627509,348599,348600,627511,915455,1609026,2773948,254515577,2752972,1596185,907414,907413,907183,511568,286718,158450,158449,286717,286743,286744,511610,907255,254231547,2697368,3201184,1874248,1874249,2773905,1608995,1079936,1079937,1618018,1892392,2774719,1609528,915764,915765,1609533,1873281,1607584,914542,516120,289644,160326,160325,289635,516098,606499,337505,185404,101431,101429,185396,337492,606474,916881,916880,1068679,916046,916048,906965,906963,1595347,918919,518251,290680,290678,518243,918908,916118,914298,914299,1069146,600857,600855,919370,919367,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906999,1595423,2752201,1609471,915732,915510,516648,516647,915596,1077740,1888721,1616609,919509,518555,290823,160940,160941,290826,518562,518005,518008,918440,1614809,2783689,2784098,1614863,918469,918468,1614860,2784088,254520601,4616419,2779877,2779878,4616421,7313332,7317165,7316037,7316038,4621640,4621641,254760159,4624460,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,4612862,4612864,3199949,1873398,1873400,1611110,1611111,2777202,3207413,1878381,1878383,3207419,3207595,3207598,5250104,7319534,11044668,8223450,8223452,7326266,7326268,7319983,7319985,11039276,8150968,5241666,4959951,4959954,7817758,8258690,254580415,5253757,8184142,12153705,255476132,11042665,8165803,5235561,3195713,1870648,1870650,3195724,3196915,3196916,3275211,3275214,5328216,3275126,1926407,1100694,1072720,1072722,1880344,3210495,2761335,2761336,4589744,5236840,8167120,8172343,5265371,5265373,8180713,5250282,3207726,1878575,1878577,3207738,5250301,7315285,8167760,8167759,12137432,8167392,5237055,5237056,8167397,8258098,12119993,12119995,11839860,11839861,8167692,5237257,3196990,1871422,1067504,599982,334255,334254,599973,1067485,254261719,5237138,8165801,12135882,12153733,8184178,8184177 Dl.O(d2) = 5305054,8175164,8175165,12145403,8245859,5317409,3266334,1957595,1118210,627390,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,1075650,1075646,1093735,614069,614067,1093810,1915234,1917164,1904608,1904605,3244993,4605436,5240835,3229636,1893938,1608856,915344,516517,516514,605184,605189,1077428,605145,605149,605216,1077513,1888412,1608205,914908,914907,1608202,1608209,914915,914913,914979,1608306,2772914,4606935,254582997,3253312,3253313,3204330,1876371,1876372,1090415,1090413,1909617,3204151,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,1075191,1075193,1884588,3214063,5258235,7086564,4750785,4750784,5258674,8166199,7827410,4968458,4968457,4787944,4787945,5271258,7487415,4731667,2887484,1675861,1675864,2887485,254237875,938626,938625,1650455,2844834,4721803,254578617,3195688,1870634,1067069,599778,599777,1067066,1870625,3195675,254578615,254833876,23567264,31051339,39729895,49748717,258617269,257993200,256804314,43299090,43299089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8037446, s2 = 6634792, dlinesl.size( ) = 2 s1 = 8037446, s2 = 6634792, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8037446, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 1807014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3773188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7578661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7578661, s2 = 11298184, int(edited[s2]) = 0 s1 = 7578661, s2 = 11298184, d1 = 70, d2 = 76 Dl.O(d1) = 268388565 Dl.O(d2) = 259180810,91121501,77204522,64063560,52222207,41890902,256108949,18666493,13274702,9059449,9059450,6852181,6852180,10395319,13313414,13313415,18706760,25279411,20886463,14983242,10314993,10314992,13298039,9079835,9079836,13298042,18691186,20881697,15023225,15023224,20931192,23659246,21943047,15854522,15854521,21943041,29264716,37830422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7578661, s2 = 11298184, dlinesl.size( ) = 14 s1 = 7983558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1068227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13259915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13368801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8158378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1809414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1809414, s2 = 2011994, int(edited[s2]) = 0 s1 = 1809414, s2 = 2011994, d1 = 18, d2 = 10 Dl.O(d1) = 47399940,47399941 Dl.O(d2) = 22843428,30236616,33051163,25322670,18743793,18743792,256117635,41994567,52333766,64183960,77331233,91250943,105473093,119712261,133586554,146843829,159216702,158596459,146223721,132992341,119159513,257838784,76914759,63807684,255701680,32765136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1809414, s2 = 2011994, dlinesl.size( ) = 2 s1 = 1809414, s2 = 2011994, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1809414, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 9351930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9351930, s2 = 2513981, int(edited[s2]) = 0 s1 = 9351930, s2 = 2513981, d1 = 6, d2 = 5 Dl.O(d1) = 256156812,28962905,254939566,15641394,21680788,28962906,37506197,47413822 Dl.O(d2) = 71529679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9351930, s2 = 2513981, dlinesl.size( ) = 2 s1 = 9351930, s2 = 2513981, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9351930, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 13332715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13332715, s2 = 10350355, int(edited[s2]) = 0 s1 = 13332715, s2 = 10350355, d1 = 74, d2 = 99 Dl.O(d1) = 32355692,37508877,37508876,47416608 Dl.O(d2) = 271341807,272162481,261052776,97813206,83954265,70427855,257392019,20888418,28058262,31136713,23649065,23649068,31136720,39819298,40043264,31363050,31363051,40043271,257652877,74317310,259390831,260609237,261733661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13332715, s2 = 10350355, dlinesl.size( ) = 2 s1 = 13332715, s2 = 10350355, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13332715, Dl.E( ) = 100, 2.91e-05 seconds used appending s1 = 8116955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6697021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341725, s2 = 14164547, int(edited[s2]) = 0 s1 = 10341725, s2 = 14164547, d1 = 40, d2 = 30 Dl.O(d1) = 254202056,12795614,12795615,18049716,24469751,32032018,254295294,19506193,19231906,19231905,25891263,24506359,18077823,12816464,8714073,5672442,5672144,3528123,2099750,1208911,1208912,2099753,3528126,2099773,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204747,8665600,12750196,15871443,21418987,15428411,254425936,37185942,43033939,33977027,26138107,26138106,19441983,254308344,11841037,7913453,5030615,5030614,7913452,11841035,13912196,13590270,13590271,19038672,25657357,254681080,10776901,10776900,10776902,7120643,4483314,2693714,2693715,4483315,7120644,255044535,21607793,24898854,32548103,35329343,27204208,20276539,20276540,21422214,21422215,28668749,34291179,34291180,38141627,37376431,37376430,41199734,51392313,41406140,41200024,41129187,32315902,28545105,21321383,21321384,24759921,24759922,20294541,14563415,10021296,10021295,14563411,20294535,27222933,35346116,37043852,28544894,28544891,37044248,256211172,40320819,31632198,31632200,255736634,47085939,58288000,71002955,81166283,256211170,44514163,255321378,44514172,35137211,27051413,20158286,20158284,27051410,257914771,258171953,48694823,38772857,255938411,16582683,11562956,11562957,11562948,7695664,4870301,4870302,7695666,254545479,4870306,254795433,255113790,30189368,23021136,16780645,16780646,23021139,30426055,268630644,256438067,16582670 Dl.O(d2) = 258393923,64209712,77357465,91277391,105499529,113829355,99814102,258754250,59534822,59534811,59534810,72268855,85860628,99814068,85860626,72268853,72268852,72268886,72268887,85858903,99812175,113827320,125928007,261622039,139277371,146899351,139277387,125928026,112094013,98134294,84239749,84239750,98134296,98134277,84239739,84239740,98134279,106576900,112094010,125928023,139277383,151984310,146899362,133645887,133645888,124656660,110661918,96563158,82578864,82578863,82578862,69051045,64256916,52401648,52401647,258397079,61932144,56513117,45416180,35814197,35814196,45416179,35814199,27556292,20532621,14729215,10128704,10128703,14729212,20532615,256250987,40698192,40698191,40698532,31960035,31960036,40698534,43349037,53874180,46808531,37994084,37994083,47910133,51000054,51000053,48519288,48519290,52398078,43869706,43869559,43869558,34599394,34599392,42670077,33754545,33754544,26612195,19804115,14185558,9751718,9751716,255450879,16020236,22136653,29472963,38035686,30587436,23169236,23169237,30587437,38035588,29472880,22136605,22136604,16904819,16904820,23167980,30586102,256905547,30586099,30586100,29472922,29472921,38035629,47949198,47949197,256466981,23167909,23167910,30586024,30587088,23168845,255966075,30586111,23167989,23167990,30586113,39183846,49113149,42159537,33199685,30587632,23169387,23169391,25672430,19051427,19051428,25672434,33442684,25672410,19051415,13600279,9312715,9312717,9312659,9312660,13600170,19051237,25672114,28207262,30587134,23168892,16905530,16905531,23168890,23168889,30587129,37766167,29205103,29205104,25672438,19051431,13600288,9312721,9312720,13600287,268315642,13600287,19051429,25672436,33442350,42435323,36895705,36895704,39865850,36895690,28398190,28398191,36895693,46773885,42435305,256945522,36895803,28398293,21178038,15217868,10497267,10497268,13454432,13454431,255020889,6925772,10503373,15226939,20782042,20782043,27934812,21189374,21189373,28410894,25482032,25482031,27956559,20795094,14902550,14902551,20795096,18885337,13458118,9203312,9203313,9202919,6025189,6025188,9202384,13456667,18883311,25358872,18776422,13372017,9139246,8329316,8329314,12329966,254879492,18776446,18776445,25358891,21421121,21421122,15430150,15430149,255834045,21421120,15430143,10667137,7045070,4433769,2661908,2661909,4433771,7045075,7055125,7055126,10680443,15447760,15447615,10680336,254858537,5438187,5438186,8425113,12456819,17634422,18018734,18018733,24432033,31987114,36895666,28398170,25672122,25672123,28450405,28450406,36950641,28694817,255404505,15447678,21443548,28694822,37219941,37219942,257447423,70679121,57960611,46584112,36697550,36697551,46584114,36895659,28398167,28398166,36895657,46584378,36950643,36950642,46828645,58194580,58194584,70679115,58495690,47117338,37219947,28694711,28694710,37219945,47117337,46584158,36697594,36697593,28206853,21014171,15092817,15092762,15092763,21014100,28206778,36697518,255801265,21014521,21014369,15093005,10409546,10409548,15092796,255011987,10409553,6861771,6861772,10409554,15093017,21014255,15092911,10409472,10409473,15092913,15092825,254716605,4306326,4306325,6861668,10409407,10409514,10409468,6861712,4306357,2574864,1482815,838459,838458,1482812,2574858,4306348,4306432,2574912,1482840,838469,472612,472611,838467,1482836,2574907,4306425,6861834,10409640,268200297,21014523,255146728,15093120,10409625,10409626,15093122,21014519,28207283,36698073,37075525,46955668,46584192,46584191,47442494,58828594,71097584,84008843,84232448,70679216,57960714,269769783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341725, s2 = 14164547, dlinesl.size( ) = 2 s1 = 10341725, s2 = 14164547, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10341725, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 6952516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6952516, s2 = 11550466, int(edited[s2]) = 0 s1 = 6952516, s2 = 11550466, d1 = 25, d2 = 33 Dl.O(d1) = 260549725,71555100,71555098,58827530,47441336,37533449 Dl.O(d2) = 211546393,215620390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6952516, s2 = 11550466, dlinesl.size( ) = 24 s1 = 1527641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1527641, s2 = 1448905, int(edited[s2]) = 0 s1 = 1527641, s2 = 1448905, d1 = 268, d2 = 29 Dl.O(d1) = 38818140,47443592 Dl.O(d2) = 37350235 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1812082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1812082, s2 = 10355743, int(edited[s2]) = 0 s1 = 1812082, s2 = 10355743, d1 = 4, d2 = 11 Dl.O(d1) = 47444303 Dl.O(d2) = 47444302,58830274,64974940,259061735,106574432,261465641,160013105,264642139 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1812494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7935518, s2 = 930686, int(edited[s2]) = 0 s1 = 7935518, s2 = 930686, d1 = 1, d2 = 7 Dl.O(d1) = 22115793,16003070,16003069,22115791,29449477,38011699,47926377,47926430,58677374 Dl.O(d2) = 10853225,7175316,7175315,10853222,15676962,21721273,24290430,31805209,38472777,38472776,35047588,26966767,26966766,22646921,22556896,16995561,11909870,11318770,7515642,7515643,11318773,16277618,11479673,11479674,16476110,22672205,28294390,28294389,36791070,39795993,31115375,23628751,17312748,17312747,23628749,31115374,39795991,49816761,61296635,74078235,87685435,101657095,115701021,102462547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7935518, s2 = 930686, dlinesl.size( ) = 2 s1 = 7935518, s2 = 930686, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7935518, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1461648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1814013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7701835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164630, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2518556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7891562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7891562, s2 = 10350980, int(edited[s2]) = 0 s1 = 7891562, s2 = 10350980, d1 = 29, d2 = 27 Dl.O(d1) = 268547712,15248874,10519760,10519759,15248869,21217479,24331731,24331730,29079873,29079872,21782165,15723193,10886582,7198764,4535357,267751758,10886575,15723180,10913495,7217596,254749911,15758711,21826419,26932851,22599198,22599197,24004808,24712776,24712775,23032797,16789625,11739559,11739558,15756375,21823319,22681496,16483403,11484903,7638928,4832938,4832937,7638925,11484888,14382216,20066289,21167545,25233188,21783304,21783305,21781473,21781471,254510756,255426220 Dl.O(d2) = 256373752,12859653,8745147,5693392,5693395,6119158,9342049,13642424,12607459,8556445,5553364,3437822,2033798,1164871,1164872,2033801,3437829,4341514,2941771,2941770,3814088,6096111,4341560,2599386,1499637,1499636,2599381,3823687,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,3800665,2276510,2276508,3800660,6074402,9273485,13546039,13594859,13623133,13623010,13623008,19081455,21677997,19035177,13587368,9303615,9303616,13587370,19035182,13641708,13641707,19006819,13565127,9287670,6084210,6084209,9287676,13565139,13546011,13546010,14028831,14028832,13587903,9303945,9303946,13587906,19005965,13564510,9287300,9287299,13564507,12463037,12463038,17638868,15201121,15201120,21156757,19042495,13593282,9307687,6097019,6097020,9307692,10014952,10014954,6582385,6582387,10014980,10015216,14555230,14555588,10015412,10015410,12470227,12470225,13563200,17867497,12652968,12652967,17644068,23989223,31486418,24243581,17867504,17867503,24241844,21876729,21876728,256362483,25698711,25698712,24243152,17867127,254874929,5582028,3463401,2053998,1178503,1178501,2053992,256551773,50486003,258915041,261322104,86455958,72860165,60123320,256984995,255941279,16612343,16612344,17803124,12602549,12602550,17803125,254964833,9770070,8857034,5772751,5772750,4881629,2941501,2941499,254190923,254107363,645417,358143,358142,645416,1150526,2011784,3409565,3450443,2043972,1171758,1171759,1171774,1171773,2003394,1145230,1145229,2003390,3380592,1990478,1137417,269827727,258170499,30176074,256187990,11552603,256980593,270340097,107880441,122296603,128264875,114388682,261211321,270530427,33396739,25630744,256142123,23941858,255181195,8395635,255181193,268682295,46657676,256423826,6882297,6882296,10439874,15136903,17242562,254471196,24784523,24784524,26386114,26386116,23394556,23394555,19659845,16723980,11682149,7790052,4939203,4939206,7790059,11682167,16724000,12032967,9689010,9689007,14086262,12032826,8089349,8089347,9759961,9759962,14197887,19820628,17121444,17121443,23393213,254241200,26395391,267978332,23388113,25622589,21468263,15466711,13379607,9145164,5984560,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,15159490,20796706,19048838,19048836,14903781,14903780,20796712,255502962,57613650,270270389,258167638,36521785,36850881,28353397,21139330,268912289,139504870,262151691,165368770,153580117 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7685901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7685901, s2 = 7987691, int(edited[s2]) = 0 s1 = 7685901, s2 = 7987691, d1 = 10, d2 = 12 Dl.O(d1) = 272540740 Dl.O(d2) = 255054301,4535707,7199341,10887295,11590985,9873302,7832370,4971762,4971764,4979861,3008143,1747480,1747481,3008152,4499557,2703713,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,4533817,4533814,7196190,7196186,4539372,2728435,2728433,4077810,6507367,5386318,5386319,8345244,7202181,7202180,10890761,14354136,9862683,8345236,5386312,5386313,254850739,17515948,269398974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7685901, s2 = 7987691, dlinesl.size( ) = 14 s1 = 1815994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1815994, s2 = 15897365, int(edited[s2]) = 0 s1 = 1815994, s2 = 15897365, d1 = 8, d2 = 38 Dl.O(d1) = 47548283 Dl.O(d2) = 1444874,2504905,1447497,1447492,2510142,4196675,6696996,10191271,14818725,20666640,27760234,36122510,45854578,46017442,56533864,45783173,36071832,27725511,27725507,36071814,45237502,45237498,55979658,68430925,56967300,45766188,45350947,45350943,56421902,49880022,49880018,44908112,35460152,35460148,35872963,27594100,20557093,14746170,255349757,24612400,18163634,18163633,24612398,32200857,40980926,51123184,62754399,75701322,270651276,27639295,20587374,20587373,27639294,35940487,45347672,56400660,45335105,35761495,35761494,45335103,56400658,68917260,268796562,57190821,268528464,69821459,257867432,268545058,27870340,36283865,45686732,36002877,256788927,259219379,260439357,125263441,260459107,111422038,261039781,138668597,260964094,111496588,112668952,260964096,124245845,110134334,257479180,68349303,62223957,50702713,50702715,42593795,42593796,50707913,40645979,40645981,50707919,42603127,40696657,31958498,29722847,29722848,31958496,29722854,29722852,31958615,31958620,31961015,31959104,31959109,40697555,50788926,45973486,36207864,27818899,27818896,36209709,27818906,27818905,36209720,45977044,57236465,69879113,82877546,96823260,106896236,106896237,121163340,259972324,78529522,69333442,65239082,53249388,42797048,33765452,25956857,256163277,256268398,256268396,52510968,42153093,42153092,49300761,39373797,30772882,23349461,17082246,11994538,8046322,5136431,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,4037932,4037931,6437035,9791428,14243482,14244250,15866212,13332754,9109815,9109814,9791379,6437016,4037920,2419621,2419622,4037926,6437025,9791408,9905060,14400377,14400397,14225015,9779083,6429655,4033752,4033750,6429649,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,6429849,5960762,3727630,2231779,2231778,3727627,5960758,254867861,5515439,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1815994, s2 = 15897365, dlinesl.size( ) = 16 s1 = 13622669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1816684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13245169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13245169, s2 = 4524072, int(edited[s2]) = 0 s1 = 13245169, s2 = 4524072, d1 = 41, d2 = 29 Dl.O(d1) = 4338496,2731325,1582627,899732,507512,284575,254098731 Dl.O(d2) = 179294470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13245169, s2 = 4524072, dlinesl.size( ) = 14 s1 = 1817017, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9351010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6954810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6954810, s2 = 11433124, int(edited[s2]) = 0 s1 = 6954810, s2 = 11433124, d1 = 41, d2 = 76 Dl.O(d1) = 260575024 Dl.O(d2) = 90797042,76922391,63815710,52000508,41688955,32772462,25075349,18532629,13167927,13167926,18532627,18052281,13008054,8856114,8856113,5860139,268008125,5648319,5648314,3560206,3560202,2126845,2126842,3568319,3604277,3604278,4403385,5662798,5663648,3591295,3564802,3564803,5668823,3526374,2098807,1249521,1205159,679926,378747,378590,207922,207923,378519,667770,370423,202800,110606,60713,60709,34351,34347,35498,35494,64465,64472,64468,64108,64111,69098,127595,231735,232785,232784,412459,725512,1269937,2188448,3658139,5859857,8975929,5859829,3658127,3658125,5859823,8975915,13167812,18532512,13167837,13167836,18532545,25075204,32772296,25875503,25075293,18532570,13167858,13167857,18532568,18532589,13167885,8975973,8975972,13167883,18532585,15360257,10612157,7002510,7002511,10612160,15360262,21333162,28559205,37060120,46938597,41688972,32772479,25075369,18532643,18532642,25075366,25075337,18532612,13167906,8975985,8975987,13167907,18532494,13167789,13167787,13167807,13167808,18532515,13167842,8975940,5859835,5859831,8975933,13167834,18532539,255788162,41688870,36501268,36501269,268371802,70402379,83928648,258001920,63815581,76922244,65101982,258439925,65101979,53115190,53115189,52274226,52050936,41736277,41736278,42663211,42663210,53115222,65102010,75593933,78385766,74975687,62164266,50655415,40605339,40605338,50655413,62164264,74975686,269504377,42173031,33213616,33213617,42173034,52530928,64404250,258928141,62164199,258305099,74975619,74975620,62164207,50655374,50655375,62164210,64404247,75593921,75593922,74975613,258928139,269921845,51025214,40887857,32114278,24537143,18103882,12836698,8729015,8729014,12836696,18103878,24537132,32114262,40887832,257711809,258323551,62650986,257695689,40605304,31896201,31896202,40605307,50655357,40887303,40887302,51024536,257601392,40887314,32113796,255611159,18103684,24536882,268705145,40887310,32113793,24536733,18103566,12836475,12836476,18103568,24536737,32113800,40887319,269439967,62650612,58226855,46859048,36980493,36980492,36980489,28483422,21266577,21266576,21266573,15304853,10568897,10568896,15304857,21266579,28483424,28483423,256849539,46859044,46859043,258037681,70943996,259288815,260510081,126280774,139650908,139650907,139650906,152371565 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1817511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9428044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165190, s2 = 9336233, int(edited[s2]) = 0 s1 = 14165190, s2 = 9336233, d1 = 15, d2 = 15 Dl.O(d1) = 265057030,263270773,156318153,143794020,130465880,116621579,116621578,261873035,156318146,143794005,130465871,130465872,263270767,264844318,143794005,262647706,112460261,98469943,84547820,70984721,58270095,52511490,42153572,35216869,27123979,27123974,35216864,44597706,55447328,67790257,59087403,47688604,47688605,59087405,55263452,55263451,55447326,62608923,50986600,256573683,24505967,255751475,20191543,20191179,14487320,14487321,20191181,22167942,22167941,20191241,20191240,26059096,33883315,34194285,255714303,9653745,14040321,19595447,20329788,20329838,14590070,10039382,6597671,4133385,2472597,254319245,6597668,10039376,255344007,27264407,27264389,27264391,27264492,20329862,255762415,268437210,27264505,20329868,14590090,10039394,10039395,14590092,20329872,27264514,35390101,44814854,55721365,68117636,68117581,55721299,44814792,35390019,27264414,27264413,35390016,44814786,55721291,55721294,68117553,55721272,55721273,68117566,77978885,77978886,91903318,77978872,77978873,77978895,64784778,64784779,77978896,270839922,64784786,52865649,257091544,25695520,25695519,31063122,39740983,256298270,71772853,71772832,59030327,47628101,255809376,59030405,59030324,59030325,71772799,84351992,85362475,71772851,71772810,71772811,68117539,55721243,55721244,59030353,71772836,59030333,47628112,37705840,37705839,47628109,47628106,47628105,47628121,59030347,59030303,59030302,256900461,37705868,37705832,29145676,21837921,15768299,15768300,21837923,29145730,37705904,47628174,37705902,37705903,37705923,257480393,47628151,256358693,15768322,268215925,268625081,37705808,29145661,21837873,21837872,256297923,21116186,21116187,21837943,29145763,29145740,29145739,29145745,37705927,37705956,47628145,59030365,59030369,47628164,47628165,256358697,21837961,15768325,15768326,21837966,256358699,37705951,37705952,47628219,47628056,37705972,29145779,21837954,21837863,21837864,255429743,10920581,10920578,15768264,21837859,256358677,47628031,59030246,59030163,47627935,37705692,29145592,21837825,21837824,29145590,37705721,47627973,37705719,37705718,47627971,47627978,37705729,37705730,37705739,37705740,256358665,255429735,10920568,7222461,4550631,4550632,7222463,10920570,15768252,21837842,29145185,29145184,21837814,15768239,255429733,29145581,37705709,47627955,59029935,257480323,37705306,29145193,29145194,256358657,256358655,47627827,47627928,47627929,59030157,71772731,71772324,59029723,47627438,47627439,59029724,71772326,71772276,258090507,47627728,47627403,47627402,258090479,47627398,37705099,37705094,37705095,37705147,37705148,47627377,257480301,47627395,37705317,29145202,29145201,37705125,29145018,21837346,15767842,15767841,21837353,29145029,21837427,15767895,15767894,21837424,268625065,29145008,29145007,29145038,21837358,255057071,7222270,254342211,2735334,4550480,7222246,10920282,10920523,7222423,7222424,255057113,21837761,29145110,21837422,21837387,15767865,10920271,10920270,15767863,21837385,15768067,254750485,4550528,2735357,1584947,901040,901041,1584950,1584986,2735415,4550614,7222436,10920534,7222439,4550616,2735416,2735417,4550603,4550535,254512559,2735337,2735338,4550498,2735376,2735375,4550546,7222349,4550562,2735385,1584968,254230301,254512571,4550564,7222380,4550605,2735407,1584980,901056,901057,1584956,901044,901043,1584954,2735366,4550534,7222223,7222216,4550458,4550459,254230297,267751815,508243,901035,1584936,2735336,4550494,4550584,2735394,1584974,901053,508257,284996,284995,508255,901051,1584970,2735387,254512573,10920423,10920424,15768088,15768116,10920505,7222407,4550590,2735397,1584975,1584976,2735401,4550597,4550517,4550519,7222313,7222353,10920438,15768105,15767977,10920342,10920343,15767979,21837521,29145224,37705346,255864681,21837624,29145364,29145459,29145460,37705569,47627762,37705513,37705489,29145360,21837622,15768037,15768036,21837620,29145262,29145261,37705392,269328823,47627185,47627747,47627687,37705413,29145279,29145278,37705411,29145381,21837642,15768055,10920401,10920400,15768052,21837637,29145378,255535379,17132094,17132051,12039763,8094037,5185518,5185517,8094033,12039756,9316339,6102828,6102829,9316341,13605370,19058103,25680827,33452129,33452045,33452046,31779683,24267124,24267123,17888329,12670677,8604703,8604702,9844983,14331387,20010868,20010903,14331411,9845004,6466023,4051314,2424579,1402441,1402440,2424577,4051310,6466014,9844985,14331391,10044098,6600561,4135123,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475644,5475642,8471037,12504977,13585630,9637741,9637740,14020458,15630423,15630425,19814719,18424989,13087459,8918503,8918502,13087453,18424971,24937208,18704915,18704916,25277436,21626034,16518948,16518949,11512308,7658225,4845541,2919966,2919967,4137128,2474626,1430351,813679,813678,1430347,2474614,4137102,6604241,10050357,14605926,16297162,11339039,7535207,4766607,2873483,2873482,4766845,7535694,11339804,15597732,10790176,10790178,15597739,15587851,10783262,7124917,7124918,7124947,7124779,4485831,4485833,7124782,7124835,10783131,7585717,4798017,4798018,7585721,11414517,11512850,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14966871,20869091 Dl.O(d2) = 265057030,263270773,156318153,143794020,130465880,116621579,116621578,261873035,156318146,143794005,130465871,130465872,263270767,264844318,143794005,262647706,112460261,98469943,84547820,70984721,58270095,52511490,42153572,35216869,27123979,27123974,35216864,44597706,55447328,67790257,59087403,47688604,47688605,59087405,55263452,55263451,55447326,62608923,50986600,256573683,24505967,255751475,20191543,20191179,14487320,14487321,20191181,22167942,22167941,20191241,20191240,26059096,33883315,34194285,255714303,9653745,14040321,19595447,20329788,20329838,14590070,10039382,6597671,4133385,2472597,254319245,6597668,10039376,255344007,27264407,27264389,27264391,27264492,20329862,255762415,268437210,27264505,20329868,14590090,10039394,10039395,14590092,20329872,27264514,35390101,44814854,55721365,68117636,68117581,55721299,44814792,35390019,27264414,27264413,35390016,44814786,55721291,55721294,68117553,55721272,55721273,68117566,77978885,77978886,91903318,77978872,77978873,77978895,64784778,64784779,77978896,270839922,64784786,52865649,257091544,25695520,25695519,31063122,39740983,256298270,71772853,71772832,59030327,47628101,255809376,59030405,59030324,59030325,71772799,84351992,85362475,71772851,71772810,71772811,68117539,55721243,55721244,59030353,71772836,59030333,47628112,37705840,37705839,47628109,47628106,47628105,47628121,59030347,59030303,59030302,256900461,37705868,37705832,29145676,21837921,15768299,15768300,21837923,29145730,37705904,47628174,37705902,37705903,37705923,257480393,47628151,256358693,15768322,268215925,268625081,37705808,29145661,21837873,21837872,256297923,21116186,21116187,21837943,29145763,29145740,29145739,29145745,37705927,37705956,47628145,59030365,59030369,47628164,47628165,256358697,21837961,15768325,15768326,21837966,256358699,37705951,37705952,47628219,47628056,37705972,29145779,21837954,21837863,21837864,255429743,10920581,10920578,15768264,21837859,256358677,47628031,59030246,59030163,47627935,37705692,29145592,21837825,21837824,29145590,37705721,47627973,37705719,37705718,47627971,47627978,37705729,37705730,37705739,37705740,256358665,255429735,10920568,7222461,4550631,4550632,7222463,10920570,15768252,21837842,29145185,29145184,21837814,15768239,255429733,29145581,37705709,47627955,59029935,257480323,37705306,29145193,29145194,256358657,256358655,47627827,47627928,47627929,59030157,71772731,71772324,59029723,47627438,47627439,59029724,71772326,71772276,258090507,47627728,47627403,47627402,258090479,47627398,37705099,37705094,37705095,37705147,37705148,47627377,257480301,47627395,37705317,29145202,29145201,37705125,29145018,21837346,15767842,15767841,21837353,29145029,21837427,15767895,15767894,21837424,268625065,29145008,29145007,29145038,21837358,255057071,7222270,254342211,2735334,4550480,7222246,10920282,10920523,7222423,7222424,255057113,21837761,29145110,21837422,21837387,15767865,10920271,10920270,15767863,21837385,15768067,254750485,4550528,2735357,1584947,901040,901041,1584950,1584986,2735415,4550614,7222436,10920534,7222439,4550616,2735416,2735417,4550603,4550535,254512559,2735337,2735338,4550498,2735376,2735375,4550546,7222349,4550562,2735385,1584968,254230301,254512571,4550564,7222380,4550605,2735407,1584980,901056,901057,1584956,901044,901043,1584954,2735366,4550534,7222223,7222216,4550458,4550459,254230297,267751815,508243,901035,1584936,2735336,4550494,4550584,2735394,1584974,901053,508257,284996,284995,508255,901051,1584970,2735387,254512573,10920423,10920424,15768088,15768116,10920505,7222407,4550590,2735397,1584975,1584976,2735401,4550597,4550517,4550519,7222313,7222353,10920438,15768105,15767977,10920342,10920343,15767979,21837521,29145224,37705346,255864681,21837624,29145364,29145459,29145460,37705569,47627762,37705513,37705489,29145360,21837622,15768037,15768036,21837620,29145262,29145261,37705392,269328823,47627185,47627747,47627687,37705413,29145279,29145278,37705411,29145381,21837642,15768055,10920401,10920400,15768052,21837637,29145378,255535379,17132094,17132051,12039763,8094037,5185518,5185517,8094033,12039756,9316339,6102828,6102829,9316341,13605370,19058103,25680827,33452129,33452045,33452046,31779683,24267124,24267123,17888329,12670677,8604703,8604702,9844983,14331387,20010868,20010903,14331411,9845004,6466023,4051314,2424579,1402441,1402440,2424577,4051310,6466014,9844985,14331391,10044098,6600561,4135123,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475644,5475642,8471037,12504977,13585630,9637741,9637740,14020458,15630423,15630425,19814719,18424989,13087459,8918503,8918502,13087453,18424971,24937208,18704915,18704916,25277436,21626034,16518948,16518949,11512308,7658225,4845541,2919966,2919967,4137128,2474626,1430351,813679,813678,1430347,2474614,4137102,6604241,10050357,14605926,16297162,11339039,7535207,4766607,2873483,2873482,4766845,7535694,11339804,15597732,10790176,10790178,15597739,15587851,10783262,7124917,7124918,7124947,7124779,4485831,4485833,7124782,7124835,10783131,7585717,4798017,4798018,7585721,11414517,11512850,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14966871,20869091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165190, s2 = 9336233, dlinesl.size( ) = 2 s1 = 14165190, s2 = 9336233, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14165190, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 14164036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164036, s2 = 2521570, int(edited[s2]) = 0 s1 = 14164036, s2 = 2521570, d1 = 34, d2 = 24 Dl.O(d1) = 256535631,50227227,51037131,40898286,32123400,24544950,18110354,18110355,24544952,32123401,40898288,51037134,62665293,59032838,59032837,48092954,48092953,59482461,72219682,85813597,99309876,85364948,71775286,59032835,258090705 Dl.O(d2) = 71775290,270660177,55324299,44478147,44478148,55324301,55324347,67664271,81131043,257226948,67664232,255686630,35393879,27267337,20331930,20331928,16832394,11770999,254556593,3012739,1749955,995091,560224,560221,559933,313507,313508,559936,994634,1749206,3011562,4986008,7855727,4985941,4985944,4986017,3011568,3011567,4985835,3011546,1750013,995129,995127,1749156,995123,560242,560243,254172689,3011554,3011556,4986000,3011711,3011710,4986251,4648605,2800179,1624367,923645,923646,1624290,1624289,254349685,4985884,7358924,7358981,4648629,4648630,255029961,6996707,4397065,2634854,1521520,862658,267763941,2634857,4397071,254523778,4648643,4648642,7358994,11096113,15983454,20815934,20815933,255825790,20815943,20815944,27979847,36438934,27979833,20815929,20815928,27979831,36438830,27979760,21321675,20815976,15350645,15350644,268381761,27979837,20815932,14919380,10259042,6741480,6741481,10259046,14919384,15350640,15350639,21321666,21322059,28545966,37045526,46923546,257994867,46292015,36438925,36438924,46292013,57636458,70327043,59954474,257428550,38646737,48562229,269777731,28545987,28545986,28545938,21322043,15350896,254729989,6996828,255029987,21322041,21322077,15350918,15350919,15350862,10604580,254498349,2634885,1521532,1521534,1521536,862665,862666,1521539,2634895,254498353,4397156,2634904,254333053,6996850,10604645,15350946,255825867,21322129,15350962,254730009,4397170,2634912,2634911,4397168,6996866,254498357,2634900,2634901,4397149,4790580,4790578,7574452,11399431,16379338,21322032,15350881,255396451,28545924,37045475,46923502,47748030,59146770,71884858,84568886,71004626,58289306,258043115,46923582,37045561,37045562,46923585,46923616,257433051,58289292,256854491,28545920,21322028,21322027,28545918,256854489,58289283,47747996,47747997,59146736,71884828,67766081,55426399,44579366,257320335,61990626,50498811,255907544,57722396,46372053,36513176,28048998,20880636,20880637,28049002,36513180,46372058,57722403,70417406,83944265,97803548,102419048,102419050,97806338,83947014,83947015,84358837,70800261,70800260,84358834,98267240,102419042,88418640,74787022,61990636,50498818,50498816,61990631,74787019,88418630,100761538,100761537,260657031,142074139,154713486,145112424,131854230,118028478,103885860,89784463,76007195,76007196,89779050,76007208,63024119,51343396,256678412,62750965,258022540,89463223,76007193,76007194,89784461,85715091,85715090,99662621,112569636,98576060,84653052,84653051,79239112,65874542,53806389,53806388,46855203,36976660,36976658,46855199,53205107,42755731,33726233,33726232,42755727,53205103,65190373,76010697,63027878,51347232,41161960,32347103,32347102,32343661,24727962,24727961,32343655,41158386,51343375,257235878,72130427,59399908,59399909,72130431,85715047,99662597,103561620,103561621,103885843,99662589,85715035,85715036,89463216,89463215,103561615,93367268,79239115,65874546,53806394,43281320,34184605,34184606,43281325,53806403,255378536,74014617,62751341,51120066,40977783,32197656,24609152,18160409,18160410,24609156,32197662,40977792,51120080,62751355,75698476,74014625,61234087,49755078,39736277,39736276,46653977,46653978,58025955,59399941,72130464,70338379,70338378,83863551,84290753,70739409,70739408,77984786,70739338,70739339,84290688,98186359,84290700,84290699,84290691,74014631,61234094,51120038,51120039,46653554,46653553,58025636,62751317,58025308,46653202,46653201,58025307,256833420,70739425,255806228,52872409,42468652,42468641,33475168,33475167,42468638,52872399,64791179,70739210,58025629,46653543,36768864,28273643,21070417,15135115,15135114,21070414,28273638,36768855,46653530,58025610,70739391,70739401,58025634,46653550,46653261,36768598,36768523,36768522,36768509,28273367,28273368,36768513,36768545,36768546,46653203,256294786,46654006,46653274,46653275,39736562,39736563,46653586,58025354,46653268,36768603,36768604,39735944,49754680,58025336,46653236,46653235,58025334,70739213,58025570,46653504,36768834,28273624,21070409,21070410,28273628,36768841,46653187,36768629,255015030,28273829,28273830,36769011,46653662,46653302,39736380,31058164,23574426,17262910,12142443,12142442,17262908,23574420,31058151,31057951,31057950,39736134,49754906,49755112,39736299,39736300,49755117,46654042,36769470,36768540,36768539,36769476,36769475,39736402,39736403,49394903,39466406,30862352,30862351,39466405,39466421,49394910,49394945,46653719,36769077,36769068,28273881,23574434,23574435,17262920,12142447,8171796,254834353,17262905,23574416,31058090,39736266,49755061,46653837,46653838,39736365,31058154,31058155,39736367,39736361,39736359,46653831,46653830,48766893,38847247,30263494,30263493,31058111,39736305,31058116,31058117,39736320,49394954,60795607,49755096,39736327,39736326,39466417,30862356,23432395,17156237,17156238,23432397,30862361,39466427,49394917,46653717,39736370,31058171,23574430,23574428,31058168,39736388,39466411,39466412,31058174,256294804,23574408,31058132,39736338,49755145,58025867,61233897,60161069,60161067,49394957,49394955,49755103,48766889,38847244,30263484,30263485,23432428,17156254,12059637,254574343,254574341,255150735,23432416,30862383,39466429,49394921,49755387,49755388,61234373,73542712,60795613,49394963,39466452,30862386,30862387,39466453,31057930,31057929,31057928,268250061,12142351,12142350,17262776,23574241,23574214,23574215,255995635,17262753,12142331,8171716,5240878,5240877,254834333,17262749,23574208,23870587,256018231,39735847,31058044,23870581,17526131,17526132,17262956,12142472,267905841,3199884,1873352,1068603,1068605,1068587,1068586,1873323,3199833,5240851,8171680,5240885,5240886,8171725,12142268,268106767,12142449,12142450,17262930,23574451,31057897,23574221,23574220,31057896,31057880,23574203,17262747,17262748,23574206,17262952,12142467,268106775,23574327,31057822,31057823,39735976,39735980,49754724,39736165,31058273,23574515,23574514,31058271,39736547,49755001,49755000,61233873,49754803,39736027,39736028,257628555,61233801,74014341,87618534,86100964,72502008,59767632,59767631,72502007,74014434,61233882,61233883,74014437,74014663,61234149,49755218,49755217,61234146,74014659,74014415,74014416,74014776,74014775,80351599,258325632,43926562,34653251,26661683,19846982,19846981,26661681,34653248,43926556,54669002,54669001,66925563,61234232,61234231,74014723,61234206,49755258,39736451,39736450,49755255,61234201,61234198,61234197,258237635,61234188,49755246,49755245,61234186,65111395,66925577,54669020,54668994,54668995,66925552,61234335,61234336,51123274,40981023,32200942,32200941,40981021,51123272,62754487,75701410,80351568,66925543,66925542,80351560,80351559,94405810,94405825,101585924,115626080,115626072,101585906,94405818,94405819,101585927,101585926,101585931,115626084,115626139,101586035,87618969,74014885,258860179,258951222,271146361,74014881,269030566,62754483,62754484,66925555,80351583,74014825,74014824,87618889,87618880,74014816,74014814,87618789,87618790,87618973,74014887,258860181,101586038,94441041,94441040,101585921,101586000,87618947,74014862,269389339,39736517,39736516,49755347,61234322,61234339,258860175,74014840,87618917,94405823,80351579,258955598,87618939,87618937,87618886,87618881,74014883,74014884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164036, s2 = 2521570, dlinesl.size( ) = 38 s1 = 8170800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8170800, s2 = 4157877, int(edited[s2]) = 0 s1 = 8170800, s2 = 4157877, d1 = 52, d2 = 11 Dl.O(d1) = 259553139,88616484,74974538,62162887,62162886,59018056,59018057,50653900,40603841,31894816,31894817,40603844,50653903,258305061,50653917,40603854,40603853,50653892,62162910,64207710,77355345,258215895,60722270,258013822,52244515,41907291,32967942,32967943,41907293,257768485,77236268,270794652,60722093,60722092,73470439,77898456,258215888,87088304,87088303,258838707,73470470,60722098,49319781,49319780,60722074,49319755,49319754,60722071,73470454,71030268,63280700,51562031,257674674,39391652,30789172,30789171,23363619,17094630,17094631,23363621,30789263,39391750,256480915,23341396,255145507,11987816 Dl.O(d2) = 155596405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8170800, s2 = 4157877, dlinesl.size( ) = 8 s1 = 3668727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3668727, s2 = 14289856, int(edited[s2]) = 0 s1 = 3668727, s2 = 14289856, d1 = 35, d2 = 62 Dl.O(d1) = 127180938,262683846 Dl.O(d2) = 47710330,37789320,37789319,47710329,59108425,71847158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3668727, s2 = 14289856, dlinesl.size( ) = 2 s1 = 3668727, s2 = 14289856, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3668727, Dl.E( ) = 88, 4.2e-05 seconds used appending s1 = 14163226, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6718136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6718136, s2 = 4236874, int(edited[s2]) = 0 s1 = 6718136, s2 = 4236874, d1 = 6, d2 = 5 Dl.O(d1) = 257668434 Dl.O(d2) = 162458084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6718136, s2 = 4236874, dlinesl.size( ) = 2 s1 = 6718136, s2 = 4236874, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6718136, Dl.E( ) = 42, 2.19e-05 seconds used appending s1 = 1468063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163374, s2 = 12331274, int(edited[s2]) = 0 s1 = 14163374, s2 = 12331274, d1 = 18, d2 = 16 Dl.O(d1) = 2318579,2341506,2341430,2341432,2341883,2341885,3911700,6248359,3980806,3980808,3743868,3743865,5987428,6270419,5679863,254205004,6957118,6957119,6975658,6959818,4372838,2619593,1512302,857435,857436,1512309,2619609,4372883,6841296,4292683,4292682,6841293,4376158,2621249,2621246,4376142,6965552,10560885,10564232,9981689,6560639,6560638,9981684,12068673,10530610,6944935,4364374,2615343,1510237,1510236,2615338,4364361,6944913,8113760,10448003,10565633,10543058,6953060,6953062,6952720,6952719,10542479,7843061,7843062,9941631,6534153,6534152,9941629,9248067,6056743,3791795,2271401,2271400,3791790,3793901,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269146,254446945,9235139,9235138,255051399,255857333,37560532,47467395,58851663,71577353,85146798,99071507,113060161,104336210,90183700,76355422,63324146,51600608,41375644,32526402,32526403,41375646,51600609,63324148,76355423,90183701,104336211,118520219,128051047,114161180,100127502,86161585,72563486,59828084,48441908,38533454,255922689,255119055,11611288,10349237,254485571,2555401,1471938,1471937,2555400,4274079,6814219,7727321,7727320,11454989,7619264,7619263,11454986,15019984,20928275,28104634,21873058,21873057,29184097,37745054,29184783,29184784 Dl.O(d2) = 71808674,85397339,99341672,113344779,261689015,140549772,153231182,165049224,175780186,185291230,193588525,200700088,206700005,265187651,265553055,226430080,228266579,229878618,231310272,232593488,233752748,234808120,235770296,236646060,237444511,238169168,238828763,239434883,239994735,240513890,240995827,241346451,241346452,240892862,240403058,266712348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163374, s2 = 12331274, dlinesl.size( ) = 2 s1 = 14163374, s2 = 12331274, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163374, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 14162518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1821353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1821353, s2 = 10146180, int(edited[s2]) = 0 s1 = 1821353, s2 = 10146180, d1 = 7, d2 = 12 Dl.O(d1) = 47674059 Dl.O(d2) = 268078999,10949821,15802649,12386847,8370456,5402176,4370752,2618490,2618489,4370750,254725939,255555411,12262360,12262359,17400055,12380260,12380259,12269939,8285718,8285719,8272206,5337754,254268201,1930044,3281195,5337777,8272258,8365446,8365445,5399220,5399221,5022902,5022903,7901860,11824009,16896262,13497558,13497556,12434800,8404017,8404019,12434802,17616754,23966946,31193949,31194649,39875849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1821353, s2 = 10146180, dlinesl.size( ) = 2 s1 = 1821353, s2 = 10146180, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1821353, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 1821580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8061692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1822304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 349337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8253150, s2 = 8021456, int(edited[s2]) = 0 s1 = 8253150, s2 = 8021456, d1 = 26, d2 = 7 Dl.O(d1) = 270807496,3710418,5934079,9074113,12791710,8696516,8696517,256060669,257119861,256809774,255785728,25248928,25249667,258193197,23080755,255445806,37776297 Dl.O(d2) = 256156452,255690107,13702722,9385158,6411750,4022365,4022363,6411424,4022184,4022180,6411417,6407268,6407265,9744070,14173756,255725333,19785997,19785996,26591148,256198613,26608990,20283216,14553578,14553577,17467449,17467448,14553838,14553839,17759477,17759479,17759588,12567180,8522199,8522200,10013104,9152788,9152786,13388665,17467383,255561021,31286527,27075570,27075571,255447690,31626936,31626938,27209141,27157480,20245859,14528144,14528145,10013529,6581444,6581443,10013528,12855955,8742236,5691237,3540371,3540373,5691242,8742251,12855986,17426145,23751907,31235066,28585966,25084629,18540419,13173794,13173795,18540422,25084635,32782074,38796529,31556784,24052496,17698646,17698647,23750689,23750688,29214348,29214347,25857936,19200670,19200669,25857934,33664079,26038152,19360275,15950877,15950876,17023032,12034350,12034274,12034273,8090347,5183238,5183239,8090351,7138573,7138575,10803456,15373413,21349251,28578511,30697766,29215024,21900777,15821412,15821407,21900764,29215008,37776297,47697142,257500490,47899252,269335033,51959940,41652765,32742992,25052649,18515645,13155537,8966939,5853740,254294265,1267700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8253150, s2 = 8021456, dlinesl.size( ) = 34 s1 = 1039267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1039267, s2 = 11286148, int(edited[s2]) = 0 s1 = 1039267, s2 = 11286148, d1 = 16, d2 = 15 Dl.O(d1) = 50528012,40492450,40492451,50528015,62019783,50528032,50528027,40492460,31797491,24283578,17902834,17902833,24283577,31797489,40492454,44502064,44502065,50528022,50528023,55348318,55348319,257656518,81153684,81153683,95210753,102253158,88254565,88254564,102253156,102253166,102253167,88254580,74624045,61831766,50347859,40321551,40321550,50347857,61831762,74371037,258111820,50114627,60073134,48677095,48677093,60073131,72810385,86405535,100361840,99337000,85393651,71805533,71805532,85393649,99336995,113339111,116348083,130187101,130187107,130187106,129886803,115989453,101945275,101945274,115989452,127235191,127235192,113377434,99376852,85435495,71849954,59111775,47714222,37793518,29231412,254678436,18694935,18694936,25266700,32990572,41931243,52270172,52270212,52270199,41931268,32990596,25266727,255291416,255382436,24973640,24973641,19223012,13731720,13731721,19223017,16290769,11333886,11333885,16290767,22458789,29826204,33688954,42719063,48309156,38398463,29826124,29826123,22458727,22458726,24973672,24973644,268164882,41532951,254863410,52270196,52270195,254492092,28341867,28341866,32645263,40219922,255018076,17681082,12504186,12504187,17681083,24031819,31534008,40219926,50240000,43220133,34132197,26265643,19545362,19545363,26265647,26265658,26265657,25882444,25882446,32645233,38848739,33688959,32645224,32645222,34132241,26265681,26265650,26265652,31534012,31534011,40219928,255309024,24973663,32645262,41532972,268115784,51812108,53732204,43220141,43220142,43220128,40219920,40219919,41532924,48309230,53732230,64119285,64119284,62409058,50827029,40723011,31975951,31975952,34132228,26265672,19545377,13995762,9614971,9614970,13995759,19545371,26265665,24973624,24973623,32645213,34132226,34132235,26265678,26265677,34132233,41532954,41532953,51812104,254863422,255579044,53732227,43220161,34132224,26265669,19545373,19545374,254274324,38429498,29868213,29868212,38429496,255189608,61225513,61225512,254603690,254274322,65788308,79142531,71507881,71507882,58778642,47391597,47391598,47391604,58778649,267912872,34132222,34132221,255189616,53488305,43220160,43220159,255579050,61225507,59111778 Dl.O(d2) = 58470982,71192511,259307281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1039267, s2 = 11286148, dlinesl.size( ) = 2 s1 = 1039267, s2 = 11286148, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1039267, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 8202859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6446444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6446444, s2 = 8091493, int(edited[s2]) = 0 s1 = 6446444, s2 = 8091493, d1 = 4, d2 = 7 Dl.O(d1) = 254532304,16316935,11352204,254532198,22489926,29846144,254407922,22777828,22777827,254554424,22777818,29856514,22973150,16736628,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646596,7355823,11091425,15977373,21298010,15330513,15330512,21298005,254520498,46895546,37795533,29233130,29233131,37795529 Dl.O(d2) = 36637108,254861032,40157902,31473583,31473582,40157899,40157916,31473591,23977328,23977326,31473587,40157911,49371019,48725552,38804860,30221352,28771122,21510130,21510129,28771120,25076703,18533742,13168815,8976643,8976642,13168811,254858028,32773988,41690589,52002308,52767249,42367883,33378964,254856324,50187670,40163471,31478852,31478854,30838012,23408997,18548366,13179101,8983501,8983499,13179095,18548354,21044875,15116305,15116306,17615584,17615585,23965584,31461380,37412341,28870983,28870984,21596002,21595999,28871061,30742308,23990665,17645893,12472527,12472524,17645920,23990716,23970606,23970608,31099067,39777255,32350004,31465809,23970102,17620680,12439141,12439140,17620676,23970093,31465794,38850957,38850956,36792895,28295983,28295985,36792898,41136062,37542479,37542478,38439360,29881147,22525446,22525447,29881151,38439362,39340876,39340877,36555768,267912204,15008260,15008261,20913469,28086697,29530770,29530772,38094560,40162779,40162780,40291190,31608107,254405906,50312081,254861212,57860641,254861022,46628135,36740181,28244770,21045315,255804255,21045320,28244779,36740193,41164773,41164774,39337787,30739156,23319093,17054606,11964027,11964028,17054611,23319099,30739169,39337800,49264055,50185537,40161117,40161116,50185535,49371601,39443377,39443378,39340306,39340307,39442023,39442022,33145967,25405756,18815707,13404360,13404362,18815710,25405763,33145975,33146171,33146172,33145878,25405693,25405692,28063790,28063788,33146325,28299307,21091133,15149943,13404477,13404479,18815914,17667502,17667503,24015708,256124407,18815446,13404197,13404198,18815451,25405414,25405473,25405657,18815630,18815458,13404201,13404203,9164301,9164302,9164316,13404486,18815923,18815950,18815951,25405296,28121829,25406301,18816069,13404563,9164355,9164145,9164144,13404166,18815392,18815608,18815610,18815363,13404298,13404297,18815613,25405637,33145491,33146408,33145454,30748933,25498507,25405461,25405462,33145479,32117979,25498515,18892990,13463672,13404263,13404262,18815563,25405559,33145759,33146433,25406189,18816007,13404530,9164336,5997943,3750938,3750937,3750907,2246126,2246127,3750911,5997893,9164241,13404328,18815637,18815636,21092402,255807921,22473867,16304019,16304020,22473869,29841183,32785920,28891201,21615104,15585514,10781594,7123872,7123871,10781589,11142097,11142098,13176814,13176815,18544987,18544114,18544115,16302861,11343460,11343459,8982068,8982070,11851990,8209144,8209140,12177516,13176347,13176348,18544179,25089501,32786495,25088620,25088619,25090456,32788180,38425923,268145926,25087883,32785764,25089416,25089418,32777304,32777302,38118411,38118412,34623006,34623005,29875410,22518323,22518324,29875414,27133050,20227177,20227176,23612263,23612265,26043625,20925884,15018057,10345960,6811513,4272253,254711279,15018062,20925889,23612211,22793530,16577109,254741856,7691336,11557910,16577122,21103000,21103001,28313339,255415916,21123349,256298585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6446444, s2 = 8091493, dlinesl.size( ) = 8 s1 = 9693054, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9426564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9426564, s2 = 1824332, int(edited[s2]) = 0 s1 = 9426564, s2 = 1824332, d1 = 0, d2 = 0 Dl.O(d1) = 12713880,12713881,255598983,21919561,21919560,29237710,256908827,47721627,55397929,44551242,44551241,55397928,67737023,60306987,55410891,55410890,67751502,57752828,57752829,61732780,61371758,49891242,46401969,46401970,44563267,44563265,44551119,36540619,28073120,28073119,35173441,27084853,255334841,14483260,255751069,35173446,257318023,67737025,255987352,255987350,47400271,37492142,28949651,28949653,37492143,37492150,42441142,42441250,42441251,52845646,47864036,47739196,37816837,29251567,21930764,15843680,15843679,16137155,22280822,29632878,38199633,48110920,59499105,72234597,85827001,99780305,273035062,153676041,262712605,170976284,159658801,147307786,260888689,106051167,259051133,52821377,42419713,33428968,25660636,19041531,13592529,9307135,254449831,254113823,428835,242044,133867,133869,242058,428867,754804,755545,1324066,761245,433042,433040,761242,1332960,2297293,3821066,2289297,2289296,3821065,6106903,9322843,255276075,25696948,33470150,33023468,25297280,18722960,13328403,9106977,5958974,3726596,3726597,254441213,2231230,2231231,3726609,5959002,9107020,13328479,13328438,9106998,5958988 Dl.O(d2) = 12713880,12713881,255598983,21919561,21919560,29237710,256908827,47721627,55397929,44551242,44551241,55397928,67737023,60306987,55410891,55410890,67751502,57752828,57752829,61732780,61371758,49891242,46401969,46401970,44563267,44563265,44551119,36540619,28073120,28073119,35173441,27084853,255334841,14483260,255751069,35173446,257318023,67737025,255987352,255987350,47400271,37492142,28949651,28949653,37492143,37492150,42441142,42441250,42441251,52845646,47864036,47739196,37816837,29251567,21930764,15843680,15843679,16137155,22280822,29632878,38199633,48110920,59499105,72234597,85827001,99780305,273035062,153676041,262712605,170976284,159658801,147307786,260888689,106051167,259051133,52821377,42419713,33428968,25660636,19041531,13592529,9307135,254449831,254113823,428835,242044,133867,133869,242058,428867,754804,755545,1324066,761245,433042,433040,761242,1332960,2297293,3821066,2289297,2289296,3821065,6106903,9322843,255276075,25696948,33470150,33023468,25297280,18722960,13328403,9106977,5958974,3726596,3726597,254441213,2231230,2231231,3726609,5959002,9107020,13328479,13328438,9106998,5958988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9426564, s2 = 1824332, dlinesl.size( ) = 2 s1 = 9426564, s2 = 1824332, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9426564, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 2527510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1825379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13403777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10178057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13377951, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1144250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1144250, s2 = 1169515, int(edited[s2]) = 0 s1 = 1144250, s2 = 1169515, d1 = 12, d2 = 181 Dl.O(d1) = 29280747,29280748,37848516 Dl.O(d2) = 29774233,38345539 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1474808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1474808, s2 = 16270444, int(edited[s2]) = 0 s1 = 1474808, s2 = 16270444, d1 = 0, d2 = 35 Dl.O(d1) = 37851481 Dl.O(d2) = 230397918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1474808, s2 = 16270444, dlinesl.size( ) = 44 s1 = 10348686, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8020533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9209317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8048594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1827874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1475356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349442, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10355976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9143020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6513747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6513747, s2 = 2951700, int(edited[s2]) = 0 s1 = 6513747, s2 = 2951700, d1 = 16, d2 = 2 Dl.O(d1) = 255433484 Dl.O(d2) = 87995870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6513747, s2 = 2951700, dlinesl.size( ) = 2 s1 = 6513747, s2 = 2951700, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6513747, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 1830868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1478378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1478378, s2 = 16173068, int(edited[s2]) = 0 s1 = 1478378, s2 = 16173068, d1 = 115, d2 = 95 Dl.O(d1) = 37914049,256205338,22012921,29344990,37914057,30286742,22888949,16660067,11627396,7745364,7745367,11627403,10690068,10690067,15460637,20316851,20316849,18737889,18737888,18074588,12813859,12813860,10999249,7281106,4591833,2762617,1601492,910598,910596,1601430,2762463,4591534,7280546,10998287,255876063 Dl.O(d2) = 49433069,60834943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1478378, s2 = 16173068, dlinesl.size( ) = 2 s1 = 1478378, s2 = 16173068, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1478378, Dl.E( ) = 120, 3.19e-05 seconds used appending s1 = 1478445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1478445, s2 = 1204068, int(edited[s2]) = 0 s1 = 1478445, s2 = 1204068, d1 = 20, d2 = 46 Dl.O(d1) = 37915058 Dl.O(d2) = 30472684,257003099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1478445, s2 = 1204068, dlinesl.size( ) = 2 s1 = 1478445, s2 = 1204068, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1478445, Dl.E( ) = 74, 5.29e-05 seconds used appending s1 = 2188479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8091762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8091762, s2 = 6628251, int(edited[s2]) = 0 s1 = 8091762, s2 = 6628251, d1 = 43, d2 = 61 Dl.O(d1) = 256237404,37009437,28510851,21290707,21290708,28510853 Dl.O(d2) = 256696620,30474959,33369824,33369825,26413359,254951590,43388326,53912603,65979810,65979809,77875555,77889819,64700890,64700889,53912621,43388307,34288965,255512530,19677787,26413346,255273404,18428497,13089876,8920123,5821203,5821204,8920124,13089879,18428502,24942098,255512402,41484587,41484586,256457282,73520083,258128140,257160331,32606397,32606398,41485235,51755325,53124461,53124460,65110224,62488453,257119321,32017165,32017164,40773256,50889185,62488452,75406645,89153670,76613880,63533969,63533968,63533921,63533920,71067061,71067059,63533924,63533923,63533927,51755186,51755187,63533929,76613863,74855527,62056446,51647616,41406851,32548685,32548686,41406853,50563660,50563659,40527124,40527125,50563681,62056441,74855522,88492737,99326004,92748518,78685219,65380636,65380633,78685218,75412259,75412257,89160150,103250505,102462393,102462392,104636023,90472371,76613826,63533890,51755150,41485026,32606208,24942529,18428857,18428856,256093759,41485025,51755146,63533884,76613818,90472360,89153934,75406919,62488753,62488754,75406922,259456954,60156328,72892358,86487473,268661002,51336606,51336607,63017589,76001032,89778583,103243522,89778574,76001023,257019350,85948895,85948894,89153791,75406797,62488638,258315043,89153788,89927014,89927015,89153740,89153741,86487495,72892378,72892379,86487498,100444670,103243527,89153693,89153694,86487485,72892369,72892363,60156334,50893246,40777000,32020717,32020718,40777002,50893252,61904189,58819285,47432751,47432753,58819290,51418720,256804648,58071449,58071448,50889320,269434331,75406773,62488662,62488663,62488620,62488621,74697895,75406668,62488733,50889435,50889434,62488730,270441445,117372986,272314451,147637514,134472609,261463883,272997843,190080399,197699006,204189651,209605358,211629099,206668888,200665653,193550466,185249320,273112867,140490615,140490616,153175703,164997551,262469432,166540552,166540553,177118405,186469449,194619377,193551568,185250428,175734928,164998919,153177105,153177104,164998915,175734925,185250427,193551566,200666623,203105635,196390922,188538098,188538097,196390920,193542041,185238858,175721147,164983154,164983153,175721145,185238855,193542036,200659460,206664588,211626185,215682388,265185755,224303456,221871735,219038646,219038647,221871737,224303830,226414281,224303825,221871732,219038645,215684584,264586698,221870159,263657164,211625368,206663624,262852106,263657162,175721152,164983162,153161035,140476581,127130349,127130348,140476578,153161033,164983159,175721149,185238859,185237351,175719408,164981166,164981165,175719403,185237347,261879238,206663622,211625364,263657160,204497073,198068840,190524454,181785038,171815246,171815245,181785035,190524447,198068837,193537203,185233181,175714519,164975867,164975866,170293169,158950873,146583722,133338268,133338269,127122190,113265052,99265185,85324206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8091762, s2 = 6628251, dlinesl.size( ) = 46 s1 = 6860081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1480957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1480957, s2 = 5095766, int(edited[s2]) = 0 s1 = 1480957, s2 = 5095766, d1 = 27, d2 = 13 Dl.O(d1) = 37958538,47876545,59272022,59272023,72007835,85594827,99542002,113553686,260578757,99541997,99541998,113553676,127424555,140780542,272552191,140780548,153460644,165259830,165259824,153460633,140780539,140780540,260578759,99542000,113553682,127424563,140780543,140780542,272552191,140780548,153460643,165259825,153460638,272204687 Dl.O(d2) = 211746760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1480957, s2 = 5095766, dlinesl.size( ) = 2 s1 = 1480957, s2 = 5095766, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1480957, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 9115967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9115967, s2 = 6552395, int(edited[s2]) = 0 s1 = 9115967, s2 = 6552395, d1 = 7, d2 = 5 Dl.O(d1) = 19591743,26317015,34188726,43285644 Dl.O(d2) = 255883933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9115967, s2 = 6552395, dlinesl.size( ) = 2 s1 = 9115967, s2 = 6552395, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9115967, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14293303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14293303, s2 = 9465389, int(edited[s2]) = 0 s1 = 14293303, s2 = 9465389, d1 = 11, d2 = 11 Dl.O(d1) = 113748153,99733678,99733677,99733679,99733674,99733673,85779704,72185387,257014000,38141920,29575249,29575250,33072230,33072229,42016278,255968296,77353514,91273469,105495676,119734052,127617052,127617051,140966676,140966675,140966679,140966680,153633920,165415023,175004848,164189276,152306134,261085373,112340677,112340676,126201134,139576395,126201142,272175527,152306135,152306136,164189278,175004852,184605343,192988772,200180346,264459059,215376977,218767466,221630065,224088045,226219754,228075510,226219752,224088043,274400963,228075509,229703880,231148731,232085602,230743849,229238272,227534917,225586743,225586742,227534920,229238278,230743866,231254412,231254413,232085612,232085613,232085642,230743874,229238283,227534929,265180086,223347021,225586747,227534927,228197743,229816743,231254416,274593688,233293918,233293917,233615115,233615118,232443987,266105848,232085614,230743884,230743885,231254407,232544064,232085642,230743874,230743873,232085640,233293927,266105840,233293891,234387757,235382536,235382543,234387783,233708974,232544058,231254401,229816732,228197735,265850369,231254403,265704676,227534917,225586743,225586742,227534920,229238278,230743866,231254412,229816741,228197742,226353978,226353977,228197740,228197738,226353976,226353974,226353975,265850369,231254403,232085620,232085619,232085620,232544063,265983025,228197738,226353976,224237138,221795711,218949157,215576274,264886184,273705500,197737199,190127092,262188352,160039773,147776054,134644852,120846801,106597781,92299578,78272683,64999689,53025039,42585233,33568315,33568314,42585231,53025037,64999686,78272680,92299573,106597776,120846796,131846114,118020240,103877604,89776220,75998646,63015225,63015215,53147182,53147183,65132215,65318210,53318549,53318550,65318211,70301434,57610961,46266481,36413709,27955500,20794036,14901682,10245862,6732000,6731999,10245859,14901676,20794027,27955482,27955483,36413697,46266473,37962683,36413701,29398339,22067864,15963033,11079206,11079205,7346484,4640069,2794764,1621026,254234519,267829083,1621003,2794724,4640007,7344241,7344240,11073696,7342717,7342718,11073700,11062905,11062904,11079363,15956193,15942430,11062945,7335334,4633588,2791260,1619258,1619259,2791265,4633596,7335343,11062963,8847192,8847191,11082186,11082185,15966605,255791664,15939551,15966250,11081872,11081871,15942411,22045346,22039752,22039753,29370671,29392238,22061737,22061738,25532911,25532912,33294263,42275403,257797329,59270713,72006623,73267780,73267779,259319663,260539381,140081887,151571659,163454254,163454252,163454251,174301683,183963728,262829872,205884306,210983591,215150872,213262629,208617690,202965676,196222227,188340303,188340304,196222229,202965678,208617689,202965675,196222227,196222226,202965671,264111956,213262586,208617656,208617655,208617709,208617710,213262576,213262575,214702990,214702991,216456223,212528760,207724721,207724722,212528763,213262611,208617674,208617673,213262608,273282622,213262654,262550024,213262633,208617696,202965680,196222230,196222231,264105072,208617692,202965677,202965678,208617694,213262632,217063083,220219921,222893099,225195206,227196032,228943284,265323100,231857231,233092371,234209128,235224011,236147784,236990011,237758719,238457347,239095527,239681704,240224310,240727057,241192853,241624249,242022645,242389453,242729371,243045917,243342888,243620851,243879526,244120373,274978749,244929347,245099688,245258919,245408183,245408182,245408181,245548968,245680885,245680884,245803941,245919674,246028169 Dl.O(d2) = 113748153,99733678,99733677,99733679,99733674,99733673,85779704,72185387,257014000,38141920,29575249,29575250,33072230,33072229,42016278,255968296,77353514,91273469,105495676,119734052,127617052,127617051,140966676,140966675,140966679,140966680,153633920,165415023,175004848,164189276,152306134,261085373,112340677,112340676,126201134,139576395,126201142,272175527,152306135,152306136,164189278,175004852,184605343,192988772,200180346,264459059,215376977,218767466,221630065,224088045,226219754,228075510,226219752,224088043,274400963,228075509,229703880,231148731,232085602,230743849,229238272,227534917,225586743,225586742,227534920,229238278,230743866,231254412,231254413,232085612,232085613,232085642,230743874,229238283,227534929,265180086,223347021,225586747,227534927,228197743,229816743,231254416,274593688,233293918,233293917,233615115,233615118,232443987,266105848,232085614,230743884,230743885,231254407,232544064,232085642,230743874,230743873,232085640,233293927,266105840,233293891,234387757,235382536,235382543,234387783,233708974,232544058,231254401,229816732,228197735,265850369,231254403,265704676,227534917,225586743,225586742,227534920,229238278,230743866,231254412,229816741,228197742,226353978,226353977,228197740,228197738,226353976,226353974,226353975,265850369,231254403,232085620,232085619,232085620,232544063,265983025,228197738,226353976,224237138,221795711,218949157,215576274,264886184,273705500,197737199,190127092,262188352,160039773,147776054,134644852,120846801,106597781,92299578,78272683,64999689,53025039,42585233,33568315,33568314,42585231,53025037,64999686,78272680,92299573,106597776,120846796,131846114,118020240,103877604,89776220,75998646,63015225,63015215,53147182,53147183,65132215,65318210,53318549,53318550,65318211,70301434,57610961,46266481,36413709,27955500,20794036,14901682,10245862,6732000,6731999,10245859,14901676,20794027,27955482,27955483,36413697,46266473,37962683,36413701,29398339,22067864,15963033,11079206,11079205,7346484,4640069,2794764,1621026,254234519,267829083,1621003,2794724,4640007,7344241,7344240,11073696,7342717,7342718,11073700,11062905,11062904,11079363,15956193,15942430,11062945,7335334,4633588,2791260,1619258,1619259,2791265,4633596,7335343,11062963,8847192,8847191,11082186,11082185,15966605,255791664,15939551,15966250,11081872,11081871,15942411,22045346,22039752,22039753,29370671,29392238,22061737,22061738,25532911,25532912,33294263,42275403,257797329,59270713,72006623,73267780,73267779,259319663,260539381,140081887,151571659,163454254,163454252,163454251,174301683,183963728,262829872,205884306,210983591,215150872,213262629,208617690,202965676,196222227,188340303,188340304,196222229,202965678,208617689,202965675,196222227,196222226,202965671,264111956,213262586,208617656,208617655,208617709,208617710,213262576,213262575,214702990,214702991,216456223,212528760,207724721,207724722,212528763,213262611,208617674,208617673,213262608,273282622,213262654,262550024,213262633,208617696,202965680,196222230,196222231,264105072,208617692,202965677,202965678,208617694,213262632,217063083,220219921,222893099,225195206,227196032,228943284,265323100,231857231,233092371,234209128,235224011,236147784,236990011,237758719,238457347,239095527,239681704,240224310,240727057,241192853,241624249,242022645,242389453,242729371,243045917,243342888,243620851,243879526,244120373,274978749,244929347,245099688,245258919,245408183,245408182,245408181,245548968,245680885,245680884,245803941,245919674,246028169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14293303, s2 = 9465389, dlinesl.size( ) = 2 s1 = 14293303, s2 = 9465389, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14293303, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6688607, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2859910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2859910, s2 = 13708085, int(edited[s2]) = 0 s1 = 2859910, s2 = 13708085, d1 = 12, d2 = 48 Dl.O(d1) = 85614836,72026493,256924244 Dl.O(d2) = 259568838,71361609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2859910, s2 = 13708085, dlinesl.size( ) = 2 s1 = 2859910, s2 = 13708085, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2859910, Dl.E( ) = 72, 2.41e-05 seconds used appending s1 = 14163077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1835320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1483238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2193097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13467019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8074195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9465466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1837832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9694682, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10198837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10198837, s2 = 7096603, int(edited[s2]) = 0 s1 = 10198837, s2 = 7096603, d1 = 3, d2 = 2 Dl.O(d1) = 86917991,86917989,86917990,88132902,88132901,102120705,256535370,119599900,119599901,105369590,91151812,91151808,77236118,77236117,64091831,52244334,41907105,32967736,25245748,18675358,13282891,9066649,9066652,13282896,18675366,18117997,12847265,8736514,254427721,3538252,5687729,8736513,12847262,18117992,24555417,32136882,32140585,32140586,33077178,25346928,18765824,13362873,9132447,9132446,13362870,18765817,25346921,32138915,40916367,40915180,32141534,24559488,18121006,12849110,8737579,5688275,5688274,8737575,12849101,18120992,24559400,24559403,25245978,25245977,32968013,41907363,49883602,256517076,61700915,74483917,88096168,102083132,88096167,88096166,102083131,99618583,85670031,72083789,59350663,47960030,38046977,255888367,268399821,38046974,47960028,59350662,71956399,71956398,59217980,47819675,37897707,29329134,29316027,21987685,254758554,24202968,17833365,12627862,12627864,17833369,19147985,19147984,16290247,16290248,20116747,27008186,35094514,44471350,55317485,67655152,55315696,44469790,44469789,55315694,67655149,76008667,89785989,259593162,131855787,145113917,157547468,169008674,179293442,181802806,171836724,160648012,160648013 Dl.O(d2) = 262515333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10198837, s2 = 7096603, dlinesl.size( ) = 2 s1 = 10198837, s2 = 7096603, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10198837, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 8377682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 198412, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6458922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6458922, s2 = 10138362, int(edited[s2]) = 0 s1 = 6458922, s2 = 10138362, d1 = 5, d2 = 2 Dl.O(d1) = 41968751,33025887,25299759,25299760,22239819,22239821,19224505,19224507,19224491,19224490,25884065,21636941,21636942,28911516,35012506,35012505,30722371,25146278,25146277,30828599,39432589,38058365,254244598,22156112,16625784,16625785,20019293,14338279,9850319,6470038,6470037,9850310,14338263,14338148,9850252,6470017,6470018,9850272,14338180,20019189,26901597,28941142,30230930,23858726,23858725,29425727,29425725,37987274,44385710,254722876,26926421,26932330,26932331,35013977,28833619,268088878,21562750,28833621,30058426,38632237,46761101,36882500,268173928,35008112,255740698,44385704,35008146,26926401,20040975,20040976,26926402,29687511,29687510,22838007,16616334,16616333,22838005,22155860,16035135,11133855,11133854,16035134,16482534,11484413,254469606,2912224,1689448,1689445,2912236,4832846,7638740,11484505,16482699,22680522,29494929,29494926,30440350,26953060,26953058,26956462,26956463,22270365,16128911,11204215,7434363,7434365,11204225,16128935,17142077,15728481,15728479,21786923,26954083,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23307452,23307454,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008,21492518,21492520,28752236,35012147,26930519,26930520,23418233,23418228,25144602,21589052,15563254,15563255,21589042,28863290,37404651,268434396,30687659,30687660,268623458,44390511,35013740,35013739,44390510,268337040,36506951,28043383,25146146,254971800,26933028 Dl.O(d2) = 23932307,17589939,17589943,16483793,16483788,22682035,23033813,23033812,17008825,17008826,23271242,25146055,28043345,28043344,35014563,35014562,36882501,30779410,30779411,31354985,38058126,29494793,29494792,38058124,31422301,31422300,33307146,25545516,18932672,18932673,25545518,33307150,42287172,52673392,44356756,267817554,37498776,30916387,30916385,39526934,46761101,36882500,268173928,35008112,255740698,44385704,35008146,26926401,20040975,20040976,26926402,29687511,29687510,22838007,16616334,16616333,22838005,22155860,16035135,11133855,11133854,16035134,16482534,11484413,254469606,2912224,1689448,1689445,2912236,4832846,7638740,11484505,16482699,22680522,29494929,29494926,30440350,26953060,26953058,26956462,26956463,22270365,16128911,11204215,7434363,7434365,11204225,16128935,17142077,15728481,15728479,21786923,26954083,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23932129,17589803,17589801,23932125,30916973,23479970,17196989,17196990,23479972,30916977,39527282,49460740,49361909,39432439,35028401,35028402,42720809,33690656,33690655,255324366,20041149,20041150,26926586,29425233,22094491,15986521,15986520,267946604,30440243,30440244,32853131,32853133,38058105,32852785,29587821,29587824,33690674,33690673,28865411,28865410,37406557,39941923,39941924,49958953,55207181,55238571,49716104,39697322,31020254,28863861,28863862,37405117,38587121,38587122,32852204,29577507,22229954,22229955,27079579,25409148,18818400,18818402,25409153,25884018,19224446,19224449,25884028,29076294,33025686,25299552,18724983,18724984,25299541,23833140,23833142,31323698,26955600,22520934,16347769,16347770,20059329,22520919,29877628,35039764,35012353,26930739,26930743,26938733,29424082,22093354,22093352,25371407,25371409,30724307,30724304,26938348,22155169,22155166,21076860,21076862,18787164,13381249,9146488,9146489,13381258,18787180,22681909,25475808,21824470,21824467,23479763,17196830,12092442,12092439,17196819,23479744,24004775,24712717,24712718,28862442,22090503,22090501,23931889,20051085,14365761,14365760,20051082,26936868,35018145,38010367,38010366,44385479,55235425,47283026,44394786,35019087,26938042,26938043,31422836,23932459,17590048,12416089,8391941,5415557,5415558,254152730,17590056,23932466,26931106,20045384,14360030,14360026,20045373,26931201,29871327,22512234,16338379,11367807,7552333,4776007,2878533,2878534,4776012,7552341,11367819,11378094,254164546,6550067,4103423,4103425,4103635,2454597,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,5257781,8188195,5385890,3311870,1948346,1948345,3311868,5385884,8344578,268255711,39385096,39385097,39758318,31080578,31080577,30791088,23365094,17095989,15625028,267894422,254742633,7144012,4498371,2703038,2703039,4498374,7144016,10811249,15625085,21661255,22512879,16339163,16339164,22512881,20949918,15041142,15041143,254239886,11737116,11737117,12196226,11354962,11354963,16321259,22495009,18710772,18710769,22502135,22507821,254344364,37432433,31982877,24428764,24428765,21547395,15529687,10740548,7096371,4468025,4468029,7096381,7920585,5035645,5035643,7920579,11850784,16932501,22262499,16122186,16122187,21547466,21547465,28816280,28816386,37355366,37355365,37355587,37355588,47265325,49245813,47440997,47265354,38424502,38424503,47265379,49245761,49040569,47265435,37355710,37355709,30014848,22642928,22642930,28816271,21547459,15529718,15529717,21547453,28816270,37355391,28816178,28816177,21547537,15529754,10740581,7096393,4468034,4468035,7096398,10740597,15529786,21547590,16932490,16932491,21547597,21547598,16932495,16932496,23202247,30624584,38180219,36578693,28816323,21547495,21547494,28816320,28816340,30720593,37533080,37533079,47265408,37355674,37355672,47265405,49040573,39110868,30513751,30513750,39110864,30739449,23319307,23319308,30739452,39338140,37355471,37355473,37355396,28816182,21547412,21547413,28816186,21547525,15529745,15529744,11778195,11778196,16842232,21547574,21547585,28816428,28816449,21547613,15529794,15529793,21547607,23281599,23281602,23098091,21547533,21547532,28106761,30513710,37355597,30722076,23304580,17043878,11956777,11956778,17022715,23281740,30513724,39110831,256348138,33293129,25531612,25531613,33293131,42274551,39110817,30513697,23098071,16842236,16842235,23098068,256039244,23281744,23281745,23281752,23281768,17022733,11937966,7989602,7989603,11937968,17022738,23281773,17053599,17053601,17053630,23317978,30738002,39294541,30697133,23281784,17022744,17022743,23281782,17043884,11956782,8004233,5095737,5095738,8004236,11956785,17043892,17022746,17022745,11960238,254566121,5097051,8006462,11937963,11964662,11964661,17055457,23320168,30730662,23312089,23312087,267955992,13500513,18936062,17470049,12316724,8319480,8319481,12316725,15254132,10523819,6940596,6940597,10523821,15254136,18418711,18418710,24929970,28592833,21360821,15382526,10630199,7016721,7016723,4464544,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401176,12430273,17610076,23957389,31450151,31758419,26627975,19816846,19816847,26627977,31471041,40155258,37987370,29425873,29425872,255588672,19812582,19812583,26622969,34611921,34611927,40548012,41759752,32839621,25134292,18580574,18580576,256106873,35081120,26996273,26996272,35081118,43017820,36824100,28328491,21118128,21118129,28328493,254933676,29322430,24688082,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808076,254852272,47255740,58078199,58078200,257418930,44769998,44769999,39299719,30702150,26167329,19466747,19466748,21100263,21100261,26161410,26161409,33999386,28310297,21992757,19458882,13925755,9558430,9558429,13925750,12574905,11530823,11530822,13617458,9324372,9324373,13617460,19074232,15892998,11017645,7294009,4600002,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,6351730,3985366,3985369,6351733,9659255,9653836,9653837,14040450,19595626,16151833,16151832,16881760,11811319,9399117,6254742,6254739,5598585,5598586,6297488,9592465,13969539,13846405,13846406,14048538,9660036,6352370,6352372,9660041,14041478,14041477,19352061,13840732,13720626,9398582,9398581,13720620,19209360,23484682,254932174,13824742,19332758,26006285,26637871,26637870,34278727,26403556,19669125,19669124,14202725,14202726,19826669,255595022,33693764 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10183352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10183352, s2 = 6499122, int(edited[s2]) = 0 s1 = 10183352, s2 = 6499122, d1 = 40, d2 = 93 Dl.O(d1) = 99652727 Dl.O(d2) = 255256417,2238745,3739462,5980035,9138311,13370704,18774918,18778135,254918045,5981461,3740274,2239214,1298507,1298508,2239153,3740174,5981272,9140206,9140388,10775527,15577488,18779853,17651379,17651378,17902739,13373635,13373636,268293827,18778361,18780455,18780454,23150395,30567736,23970329,255182763,12439442,17620959,17651958,12481523,12471593,8440850,254407109,3350478,5450276,8423816,12445286,8423797,5450809,5450808,8441421,8421655,5459443,3356565,1973269,1973271,3356574,5422462,8403254,5599378,3475705,2062276,2062273,3475670,3475669,5599321,5457329,5457328,8449036,5457312,5457313,8408035,8408034,12439590,10578958,6978554,254728289,8438319,8438318,12469115,17643427,256027351,268443369,17628310,12448935,8417252,8417249,8410763,5427583,3336555,254405433,5452981,5452982,8444058,12474371,17647140,17631653,12453553,254599489,3349788,3349787,5449028,268000319,5440242,3344310,1966525,1966524,3344308,5440238,8427753,12459181,8442134,5451390,5451392,5430880,5430876,8415319,12446912,255573799,31470491,40154699,50179742,40154709,40154708,46875705,46875691,36997086,28499626,21281812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10183352, s2 = 6499122, dlinesl.size( ) = 52 s1 = 1488267, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1841881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13294615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13294615, s2 = 7202168, int(edited[s2]) = 0 s1 = 13294615, s2 = 7202168, d1 = 77, d2 = 51 Dl.O(d1) = 29552731,22207967,22207968,29551859,22207180,16076552,16076551,22207177,29551853,38116545 Dl.O(d2) = 194537013,263939249,201527690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13294615, s2 = 7202168, dlinesl.size( ) = 32 s1 = 6553178, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6684219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6684219, s2 = 10969863, int(edited[s2]) = 0 s1 = 6684219, s2 = 10969863, d1 = 72, d2 = 12 Dl.O(d1) = 257309824,38125973,38125974,48039178 Dl.O(d2) = 61370664,49890063,39867902,31185511,23695851,17373738,12241816,8267225,5334213,3278939,267771721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6684219, s2 = 10969863, dlinesl.size( ) = 24 s1 = 1843779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1843779, s2 = 14551432, int(edited[s2]) = 0 s1 = 1843779, s2 = 14551432, d1 = 7, d2 = 7 Dl.O(d1) = 48046562,48046561,255895110 Dl.O(d2) = 48046562,48046561,255895110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1843779, s2 = 14551432, dlinesl.size( ) = 2 s1 = 1843779, s2 = 14551432, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1843779, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14551431, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7974900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7974900, s2 = 11456978, int(edited[s2]) = 0 s1 = 7974900, s2 = 11456978, d1 = 122, d2 = 85 Dl.O(d1) = 268606400,11183820,7420648,4689328,267974171,11184586,7421157,7421158,4740094,2856718,1657947,1657948,2856728,4740111,7441130,11214661,16037324,11849912,11849911,16931231,16143378,11215033,7441376,7441377,7441177,4701775,4701774,254771907,16143129,255895995,256934489 Dl.O(d2) = 264291226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7974900, s2 = 11456978, dlinesl.size( ) = 2 s1 = 7974900, s2 = 11456978, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7974900, Dl.E( ) = 126, 3.79e-05 seconds used appending s1 = 1491251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6701888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6427973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6427973, s2 = 7946475, int(edited[s2]) = 0 s1 = 6427973, s2 = 7946475, d1 = 1, d2 = 1 Dl.O(d1) = 254236634,38153417,48066247,59457360,50541888,50541887,57685934,48244742,38334320,29763625,29763626,35171828,27083363,27083364,35171831,29763657,29763656,38334373,48244781,48244782,59631952,72215773,59478624,48089067,48089063,59478622,50541961,40506688,31811102,31811101,40506687,40506612,31811046,31811047,40506616,40506623,43900041,54643009,66900309,60149055,48754744,48754743,60149051,257782978,62033431,50541959,40506686,31811097,24295842,24295841,31811092,29763650,29763649,38334362,48244787,59631957,72366478,62033414,62033413,67735482,71885925,71885926,59631902,59631901,72366447,257207486,71282605,71282585,58551065,47162469,47162470,50541854,40506692,31811104,31811103,31811087,24295838,17913382,12691214,12691211,17913373,24295819,31811041,40506604,50541867,53678289,43167989,34084617,34084618,43167995,53678294,53678304,62033400,53186983 Dl.O(d2) = 254236634,38153417,48066247,59457360,50541888,50541887,57685934,48244742,38334320,29763625,29763626,35171828,27083363,27083364,35171831,29763657,29763656,38334373,48244781,48244782,59631952,72215773,59478624,48089067,48089063,59478622,50541961,40506688,31811102,31811101,40506687,40506612,31811046,31811047,40506616,40506623,43900041,54643009,66900309,60149055,48754744,48754743,60149051,257782978,62033431,50541959,40506686,31811097,24295842,24295841,31811092,29763650,29763649,38334362,48244787,59631957,72366478,62033414,62033413,67735482,71885925,71885926,59631902,59631901,72366447,257207486,71282605,71282585,58551065,47162469,47162470,50541854,40506692,31811104,31811103,31811087,24295838,17913382,12691214,12691211,17913373,24295819,31811041,40506604,50541867,53678289,43167989,34084617,34084618,43167995,53678294,53678304,62033400,53186983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6427973, s2 = 7946475, dlinesl.size( ) = 2 s1 = 6427973, s2 = 7946475, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6427973, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15177646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15177646, s2 = 6598166, int(edited[s2]) = 0 s1 = 15177646, s2 = 6598166, d1 = 15, d2 = 16 Dl.O(d1) = 20221867,14510789,9984988,9984989,14510795,20221876,268245650,44600980,55450165,255983358,255148890,27126793,27126794,35220328,30781820,23357093,23357094,29926564,29926563,38487280,48390435,44601322,35220341,27126798,20221988,14510852,14510853,20221989,27126801,35220346,44601326,55450433,59559882,48173300,38263804,29697983,29697984,38263798,38807409,38487443,29926692,22566543,16386106,11404487,7578449,4793523,4793522,7578445,11404478,16386085,18337078,13016839,13016837,18337074,21947916,21947915,29270475,30623681,23201576,23201577,30623684,39221080,39956142,31281292,31281291,38487337,255935536,41315593,32470101,32470102,39436596,37351599,37351598,257457333,38487236,29926525,22566436,22566435,26604948,34591716,43862022,48390440,48390439,49147523,39221109,37010553,37010555,46889564,43941676,43941675,48931807,39008115,39008116,48931799,39008108,30418808,30418809,39008112,32361357,32361354,32856923,25150099,25150098,32856918,41777508,52091057,49365511,49365512,60768122,49367928,39439093,30835061,28673054,21425444,21425442,28673047 Dl.O(d2) = 48365605,59748448,58468944,47091050,37195294,255834457,15433443,15433442,21425436,21984473,21984474,29312444,32856963,29797435,29797343,22430898,22430899,28673193,28673194,37195507,38370289,38395625,38395624,47805276,41777478,41777479,46484451,38370280,32857095,25150222,18593454,13213035,9006791,5879473,3670594,3670595,5879479,9006801,13212999,13212997,18593377,15056243,15056242,20965932,16263630,16263631,22431005,29797523,38370239,48220142,48220141,59606857,71190901,58469152,48281543,38370216,29797493,22430984,21984534,16263698,11307662,7507477,4745641,4745639,7507472,11307652,16263672,16263616,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,11014172,255066929,21984622,29312627,37881585,38310261,48220083,59557683,48171096,48171097,59557686,50428850,40395433,40395432,46820695,46820694,58186925,70899923,84456389,258664194,120188644,105988143,91793514,77870965,64681047,52766085,52766086,64681049,77870968,91793516,99477141,85530590,71942576,59203450,47803939,47803940,59203451,71942578,85530591,270833061,72088873,59355566,47964599,38051462,38051461,257506809,59355569,59355570,48117060,48117059,48070825,38158242,256392574,22243381,29591955,38158244,43871740,43871741,48497147,48497146,59891051,72633166,86235890,100204212,114238639,114238636,114238637,128125478,141486866,153248422,140567131,259450806,99362377,257595864,59092162,47693633,37772292,256364402,59092161,269799910,99362374,113363700,127221769,140567130,128125661,114238872,100204518,86236274,72633603,59891489,59891490,72633605,256967316,114238874,100204522,100204521,101899047,258884951,50067651,40048305,31367876,23873149,17528874,17528873,23873148,31367874,257070743,61295438,49815631,49815632,61295439,74077201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15177646, s2 = 6598166, dlinesl.size( ) = 2 s1 = 15177646, s2 = 6598166, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15177646, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 3166036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3166036, s2 = 16025340, int(edited[s2]) = 0 s1 = 3166036, s2 = 16025340, d1 = 16, d2 = 11 Dl.O(d1) = 99746801,85793105,72199297,59461798,48071197,38158591,29592297,22243694,16107049,11188037,7423484,4691067,2826608,2826609,4691069,7423488,11188047,16107041,22243683,29592285,38158580,29592327,22243719,22243718,29592268,22243671,16107033,11188070,7423499,4691074,2826611,1639977,932551,932552,1639978,2826614,4691080,7423510,11188031,7423480,7423479,11188023,255082025,22243662,29592259,38158550,32358828,32358827,33458547,33458548,42451576,37088581,37088583,38158574,29592281,22243680,22243681,19336938,13828176,9483968,6218941,6218942,9483970,267813266,26011116,19336899,19336900,26011117,33829150,38855172,30270784,30270785,38855176,48775166,60169522,72906365,86502887,100286833,86324676 Dl.O(d2) = 38681497,30104422,23592802,17280705,12159896,8190279,5259701,3215260,3215256,4283443,4283445,6827691,10364671,15016957,12044483,8097186,8097187,12044487,16794817,16794816,18747285,18747286,20837925,14938740,10274341,10274342,14938742,16941393,16941392,15596030,10789019,10789018,13930165,13338158,9113273,5962761,5962759,9113264,13338143,18736282,21625541,16517714,16517713,22722861,28898695,21623458,20958171,15049198,10375919,254714360,15591759,21622210,28897644,37438203,47345334,58733133,71462857,85034752,98959686,112948763,112948762,126802762,140152992,152846992,261616758,184984595,192982407,263040666,174996757,272468084,152297037,139566931,126191651,112331089,98347938,84438233,256764452,46799472,36921569,28423320,21200273,15235365,10510015,6930603,4354472,2608302,1505399,1505401,2608318,4354513,6930701,10510216,15235702,21200813,24352584,19597375,19597376,23567529,17256105,17256104,23567524,31051652,32856390,25149567,18593004,18593005,25149570,32856395,41564078,37289329,37289331,38941446,31827600,29599438,29599439,28851793,21579693,21579691,28851791,37392064,43021975,33964408,26126225,19431699,19431698,26126222,33964401,43021968,46283802,36430989,27972310,27972311,36430992,40474793,33331087,25571258,25571257,33331086,42311380,52698362,64599013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3166036, s2 = 16025340, dlinesl.size( ) = 8 s1 = 1492064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1492714, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1493961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1494295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6622509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9361142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9361142, s2 = 15089684, int(edited[s2]) = 0 s1 = 9361142, s2 = 15089684, d1 = 10, d2 = 5 Dl.O(d1) = 84120394,84120391,84120392,72988603,60253089,48860241,38940662,38940663,39379928,39379929,49307650,60709940,73458240,64585220,52684619,42297984,33317379,29642624,29642625,38209269,48119722,59507248,72241864 Dl.O(d2) = 127668425,141016508,153682592,159566746,147207665,133985072,120143613,105931555,259044805,64613423,52713114,52713113,59860922,48469896,38557175,38557176,48469899,59860925,51063293,40922703,32145308,24562552,18123200,18123201,24562553,32145311,26407111,255308165,14102365,9699634,9699633,6379399,4002401,2398451,2398452,4002403,6379404,9699659,14102409,255440990,19672646,19672645,26407175,34282009,37508105,28964707,28964706,37508103,47415931,58803140,71532185,85103357,99027812,99435115,85493714,257647060,59170507,71908713,256518024,62629078,75568246,89326152,103419259,117548588,131349275,144574367,156974962,168425389,156974960,144574361,144574362,260714392,178735084,168425390,261287284,187843221,262809504,202591278,207845077,202035506,195126826,195126827,195787019,199615784,192310690,192310691,199615786,202035499,195126818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9361142, s2 = 15089684, dlinesl.size( ) = 2 s1 = 9361142, s2 = 15089684, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9361142, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6721559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6516113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6622657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13340247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13302857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13302857, s2 = 3687403, int(edited[s2]) = 0 s1 = 13302857, s2 = 3687403, d1 = 13, d2 = 5 Dl.O(d1) = 23691963,17373213,12241266,8266738,5333842,5333841,8266735,12241261,12609989,12609990,17373220,12241273,8266745,5333847,3278661,3278662,4945667,7799030,11693793,8545051,8545050,12580802,12241150,8266653,5333781,3278621,3278620,5333778,8237461,5309827,3259919,3259920,5309831,5550003,3435095,2031935,1163727,1163730,2031928,3435082,5549977,8552275,12602584,16510471,17755014,17755013,12625847,12538784,8500077,5501683,5501682,4712979,2839252,2839251,4712977,7458528,8264412,8264413,12238786,16168283,16168284,12036665,12036395,8091802,5184162,5184163,5184178,5184182,6750533,5550425,5550426,7456082,4711186,4711188,7456090,4711194,4711193,4029554,2414664,2414663,4029550,6423098,9769137,11233450,7454614,7454615,11233452,269352384,38230608 Dl.O(d2) = 263151537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13302857, s2 = 3687403, dlinesl.size( ) = 8 s1 = 1849619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1849619, s2 = 13364168, int(edited[s2]) = 0 s1 = 1849619, s2 = 13364168, d1 = 22, d2 = 44 Dl.O(d1) = 48143427 Dl.O(d2) = 58816508,58816507,67710716,59309788,58089574,52245221,52245222,60567250,58816537,47429899,40306894,31618542,24113273,17752562,12561018,12561017,17752559,24113267,31618531,32581319,32581320,25715112,19086773,13627116,9331223,9331222,13627113,19086769,255175808,42486136,47791638,256002740,256002742,24113278,268117091,8516468,254413011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1849619, s2 = 13364168, dlinesl.size( ) = 2 s1 = 1849619, s2 = 13364168, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1849619, Dl.E( ) = 52, 1.98e-05 seconds used appending s1 = 9075204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9345704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13344691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9367558, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9140412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9140412, s2 = 8248974, int(edited[s2]) = 0 s1 = 9140412, s2 = 8248974, d1 = 35, d2 = 36 Dl.O(d1) = 40149197,31465544,256531561,257661817,74445796,74445797,257758902,76012982,63030242,63030241,76012981,89789633,88058057,258443910,50174776,50174777,40149196,40149195,50174776,61661277 Dl.O(d2) = 243566330,243828713,244072414,244079825,274954427,242322858,267054961,241544303,241948972,274926706,241107471,274880067,240636864,240129344,240129345,240129342,239581977,238990152,238346610,266747375,266865911,266747377,237640038,236862063,266609225,236006130,235064685,234029648,232893904,231639816,266141233,231639818,230244412,228674391,226890334,224842920,224842919,224842921,222483879,219735951,219735950,265425951,222483866,222483865,265034297,265034295,222483873,224842917,226890332,264556188,223800837,224842916,226890331,225960693,223800841,221308976,218400054,263230088,199349242,199349241,205577826,262800674,199349245,261277340,183428280,261820432,199349240,261277342,183428275,183428277,261820430,272599440,191986835,273501131,162611637,150487623,137452399,123724515,257052684,95277804,109532637,123724514,269867782,123724512,137452397,270380626,162611631,260703952,191986832,199349236,261277336,273381854,199349237,263616204,262800672,274328705,225960689,225960687,223800836,273742420,217770927,214135819,214135818,209708517,204311000,197841907,190251982,186926481,182913334,261992806,198985518,263361776,214711413,214135815,209708510,204310995,197841904,197841905,262948600,214135816,273555526,201125453,201125454,207066745,263565728,185843967,185843968,273134206,178276811,263267239,195503535,202358949,195503523,187487587,273587731,202358951,197613160,189970450,189970442,189970443,194210251,201247391,263995598,263732901,263650140,189970446,197613156,204121175,209551298,264518366,215974619,211969149,207066743,263565732,201125450,263174616,204121168,197613152,189970439,181107193,171002427,159687516,147339344,147339343,159687515,171002425,273587732,181107200,171002438,159687527,147339358,134126912,120295741,259544384,91900129,106095192,106095194,106095193,120295743,261457355,159687534,171002431,159687518,147339352,134126909,134126910,147339354,143722976,261991822,261867776,147339341,143722978,130396952,260295558,74820125,62023172,50531062,269414425,74114972,61332560,49849383,39825718,39825717,49849382,49203250,269370253,259053294,62023174,50531064,40495352,31800254,24286231,17905384,17905385,255996674,27018344,27018345,35103637,44480045,257047230,73349285,86960916,260070763,272241197,260698068,123640307,109446997,260100930,100944746,100944745,271836087,272585807,166585493,177158679,186506550,262324116,154885552,166585492,167061870,273372393,180526297,262453545,272885050,142840701,262796557,186856040,263962305,201631113,194653702,186506548,177158678,261815350,262301905,263207713,262324114,262914645,159055657,146690102,260848323,260848321,119573882,119573880,119573881,133440817,146690098,272693609,261953541,170391771,170391765,159055653,262453539,170391767,170391766,180526295,180526291,180526290,189434490,189434491,189434492,264043491,264043493,203711573,265084193,223121421,223121420,220496366,217410616,217410615,220496364,223121417,265633096,226539248,226539251,228367203,229972091,229085257,227361022,225389579,225389580,265784313,230607397,266168103,231606710,231606708,231606709,266168101,266127396,228631140,265888133,228631142,226838682,274414102,265215672,216387306,265233033,224782870,274517816,222414282,219654661,216387309,264778700,273558164,273137070,261760726,115231684,101154502,87156639,73538421,271353258,87156635,87156636,73538417,73538418,73538422,73538423,73538424,60791330,49390741,39462326,30857477,30857476,39462324,49390739,41998507,41998508,40176313,40176312 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8027461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1058288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7888192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2899882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2899882, s2 = 936111, int(edited[s2]) = 0 s1 = 2899882, s2 = 936111, d1 = 40, d2 = 6 Dl.O(d1) = 86472057,271354155,48199375 Dl.O(d2) = 23762174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2899882, s2 = 936111, dlinesl.size( ) = 8 s1 = 1853544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10151753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16328706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9543456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7172128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7172128, s2 = 1168113, int(edited[s2]) = 0 s1 = 7172128, s2 = 1168113, d1 = 10, d2 = 0 Dl.O(d1) = 263550812 Dl.O(d2) = 29742015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16306206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1500834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1200743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6650241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6650241, s2 = 6721285, int(edited[s2]) = 0 s1 = 6650241, s2 = 6721285, d1 = 24, d2 = 27 Dl.O(d1) = 256948480 Dl.O(d2) = 257701813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6650241, s2 = 6721285, dlinesl.size( ) = 26 s1 = 8198989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6703414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1501445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10174765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10174765, s2 = 10355076, int(edited[s2]) = 0 s1 = 10174765, s2 = 10355076, d1 = 25, d2 = 0 Dl.O(d1) = 47538734,47538735,38353678,38353679,256950365,29781066,29781067,38353677,47456760,258082133,48264641,47456762,47456761,58842339,58842340,47456763,256349606,255856326,15673497,10850469,7173251,7173250,10850467,15673496,21717315,29003073,29003074,37548883,47456757,47456758,257471735,71569159,85139013,71569153,71569152,71569158,85139017,85139016,71569155,71569154,74356022,74356023,73542015,73542016,87160437,101158437,115235885,126902912,126902913,115975736,101931137,87958284,74356025,74356026,87958285,101931138,113475956,115984777,101940469,87967956,74365838,74365837,87967952,101940466,87967954,74365836,61589458,50109484,50109483,61589456,50109482,40089018,31409074,23918948,17577317,12405522,8384212,254854183,17577316,23918947,31409071,40089013,50109477,257074085,40089015,50109481,61589455,258265799,61589460,257656851,40089024,31409077,31409076,40089022,257656849,47115913,47115914,58494278,58494277,71216155,84785097,256607446,126572190,139935753,131404857,117605015,271474139,89376712,75613456,62668900,51040486,51040485,51040488,51040487,257712953,40901283,256067191,18111633,12842740,268461221 Dl.O(d2) = 195816390,264009655,273605284,131706176,261952614,62863542,59264499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10174765, s2 = 10355076, dlinesl.size( ) = 12 s1 = 1503206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1504045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466903, s2 = 14071879, int(edited[s2]) = 0 s1 = 9466903, s2 = 14071879, d1 = 32, d2 = 27 Dl.O(d1) = 51201608,41045461,41045462,35084793,35084792,44459962,55304854,67643724 Dl.O(d2) = 254705994,43318237,255361432,33439597,26346599,26346598,34220491,43318236,53842241,65908813,65908810,53842237,43318234,256186181,19617620,14058442,9668010,6358254,254311089,1383860,1383862,787276,787270,1376178,1383781,2377539,1376176,1376174,2377530,2376617,1375793,1375790,2376601,3967358,3891504,2329973,2329975,3891515,6217464,6272959,6377928,6377931,9377519,6267219,3924027,3924029,6267224,6141241,6141242,9320595,9561930,6274277,3928484,2351862,2351859,2345609,2345610,2351986,2351985,3928672,6274499,9562177,9377522,6259866,3918857,2345804,1358816,1358819,2345811,3918863,6259878,9541604,13903603,19431633,26126157,33964343,42629831,33604988,25807259,19159763,19159761,25807252,19194922,19194921,25850057,19194773,13708924,13708925,19194775,25850061,19194943,19194944,25850372,25850300,25850301,33654999,37981809,29418866,25850110,19194815,13708952,9389706,9389705,11094812,7358136,7358138,11094815,15981767,22088338,22088337,22088346,25850278,19194889,13708987,13708983,19194877,25850258,256664242,53136025,46950231,46950233,46950527,37070782,28568318,26159253,26159254,34001010,43059427,53538826,52842963,42438330,42438331,39216671,30619529,23198082,23198083,20023789,14341780,14341781,20023794,26907322,34987908,39010368,30421023,30421022,39010362,33561455,33561456,33445830,25675081,19053390,19053391,19053324,19053323,25674955,33445658,42438618,48933677,39010233,39010232,48933674,49052701,50463961,61959880,55658186,55658188,60847462,59794618,59794619,59225106,49445743,49445745,39514450,30905979,30905976,39514389,42189188,35323631,27199788,27199786,35323629,27199926,20273058,14545614,14545613,20273054,27199914,29507820,25463977,25463978,33211503,36439853,36439852,29507830,29507831,37259258,38071477,44750065,35323887,29507843,22167418,16044485,16044484,22167416,29507836,25820962,19170693,13689931,254662309,3842978,2302667,2302668,2337582,1354821,1335093,762508,762512,433834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466903, s2 = 14071879, dlinesl.size( ) = 10 s1 = 1858559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1087807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1858795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1858795, s2 = 9510513, int(edited[s2]) = 0 s1 = 1858795, s2 = 9510513, d1 = 1, d2 = 1 Dl.O(d1) = 59691026,48304135,48304134,59691024,72426658,86024177,99985458,99557054,85606735,72018109,59281131,59281129,59424183,59424182,72163097,85757610,99711574,113725776,127594344,140943851,153611053,165392253,176074209 Dl.O(d2) = 59691026,48304135,48304134,59691024,72426658,86024177,99985458,99557054,85606735,72018109,59281131,59281129,59424183,59424182,72163097,85757610,99711574,113725776,127594344,140943851,153611053,165392253,176074209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1858795, s2 = 9510513, dlinesl.size( ) = 2 s1 = 1858795, s2 = 9510513, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1858795, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6451086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6451086, s2 = 8272138, int(edited[s2]) = 0 s1 = 6451086, s2 = 8272138, d1 = 43, d2 = 19 Dl.O(d1) = 254617316,7529592,7529591,11331904,16288586,22456471,29823672,38396034,48306736,59693716,72429469,86027250,99988897,114014633,127894746,141255396,129624590,115728482,259533760,74103677,61320824,49837791,39814544,31132331,31132330,39814542,257634607,269414198,99988894,86027248,86027247,99988892,114014628,114014631,257686592,141255394,129624589,115728479,101683487,271387883,129624586,142951762,155501173,167134176,177633846,177633839,167134170,167134171,271421920,165702324,153927354,141255387,259543280,153927358,153927357,165702322,153927356,153927355,260157584,185808201,176367416,176367414,185808204,261866880,207044539,211951101,215959674,263995022,215959661,211951092,262372460,194042121,271881062,260754924,194042119,201098291,207044541,211951103,215959677,263995020,215959673,272913900,194042117,185808199,185808198,194042115,201098286,207044533,211951094,263995016,208118056,202353910 Dl.O(d2) = 231638282,231638283,232892358,232892365,266032136,228672521,265608988,224839559,265440736,265425651,224839548,226887756,274479296,224839550,224839551,226887759,228672507,230242803,228672518,226887768,224839555,224839554,222479716,219730914,216474792,265033913,222479710,222479720,219730921,219730920,219730918,219730919,265425653,224839557,222479725,219730924,216474797,216474798,219730926,265425655,226887770,226887752,224839545,265254988,216474796,212549113,207746546,263989298,186915711,186915713,195002126,201922816,207746548,212549115,216474800,219730928,222479728,224839561,226887772,226887754,224839547,222479707,219730911,216474791,212549110,207746544,201922813,273394296,177633853,167134184,167134185,263229493,186915710,177633851,262363862,261316298,129624597,129624599,129624600,272910438,143562597,130235582,130235583,143562598,156097305,167701644,167134179,167134180,155501184,142951779,129624605,115728492,101683493,258909086,74103690,87709646,74103689,259490845,115728491,260703330,102307510,102307509,260745459,129624591,142951767,129624606,115728497,101683499,87709650,74103692,61320832,49837803,39814550,257051903,61320830,61320827,258866485,101683490,115728484,260745456,101683495,87709648,270380407,49837805,39814552,39814553,257634609,49837801,256545834,23644894,256000525,256739238,61320828,61890652,61890653,61890664,50400105,40364806,31670119,24160503,17793109,17793108,24160501,269005769,74103685,257677298,268688930,23644896,17328248,12203262,8234782,5306771,5306772,8234785,268436297,20080073,26964488,28341942,22645989,20083214,14399429,14399430,20083216,26968539,26965193,26965194,35045596,30020294,22647609,22647608,30020292,38593035,44372861,34994430,34994433,26963778,20079445,14396744,9902680,6508790,6508791,9902682,14396747,9904560,6509906,4079380,2440820,2440821,4079381,6509907,9904568,14399687,20083590,26969002,21474826,15472206,15472207,21474832,26968733,26968732,30015755,22643771,16453662,11464083,11464082,16453655,20083219,20083221,22646252,22646250,29736571,268023358,30015433,22643470,22643469,22643436,22643435,30015382,29482759,29482758,254540752,27144928,20235958,14520777,9991520,6566709,4113738,4113736,4113743,6566725,9991554,14520829,20236018,22813630,22813629,27145022,27144749,20235834,20235835,22813621,16595314,16595313,22813618,30205223,38789997,39791099,31110701,23624383,23624384,22643726,22643728,30015725,31810844,27133235,20227304,20227303,27133229,27144884,27144885,35241787,30015425,30015420,30015418,30015363,30015364,30015390,27144658,256231647,35241633,44608278,41486575,41486580,35241522,27144626,20235772,20235773,27144632,35241538,27145073,27145072,35241983,44625042,35241612,35241610,44416930,44416932,48861141,44416964,35042560,26962328,26962329,35042563,32607492,32607491,41486450,51756688,63535553,72640142,67612343,55271509,55271512,67612348,55475116,55475114,60742527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6451086, s2 = 8272138, dlinesl.size( ) = 2 s1 = 6451086, s2 = 8272138, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6451086, Dl.E( ) = 44, 2.91e-05 seconds used appending s1 = 6704048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6704048, s2 = 2508359, int(edited[s2]) = 0 s1 = 6704048, s2 = 2508359, d1 = 15, d2 = 0 Dl.O(d1) = 257534549 Dl.O(d2) = 71437304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6704048, s2 = 2508359, dlinesl.size( ) = 24 s1 = 1505980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1505980, s2 = 6729045, int(edited[s2]) = 0 s1 = 1505980, s2 = 6729045, d1 = 2, d2 = 3 Dl.O(d1) = 38403524,38403523,47784877,37860711,29291579,21964571,15870561,10999749,10999750,10999906,7281506,4592048,2762771,2762770,4592046,7281501,10999898,15870750,21964838 Dl.O(d2) = 256914331,258104597,257494505,71924252,85511633,99457537,113467727,261149007,262214467,262694421,273541501,187252223,262472634,155923956,143382289,130050940,130050941,130050943,116141706,102084007,88097117,257788058,40198236,31512396,24012044,17664833,17664832,23147480,30564769,28028430,20861189,14959568,14959569,20861192,28028436,36490776,33178598,25434933,25434932,33178597,31512313,24012065,17664843,17664844,24012070,31512432,33178374,25434736,25434737,33178375,25434738,18839580,13422707,9177289,6006624,6006625,9177291,13422711,18839585,13422780,9177329,6006650,3756632,3756631,6006648,9177323,13422769,18839671,13422752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1505980, s2 = 6729045, dlinesl.size( ) = 2 s1 = 1505980, s2 = 6729045, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1505980, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 7906793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7906793, s2 = 1921406, int(edited[s2]) = 0 s1 = 7906793, s2 = 1921406, d1 = 37, d2 = 8 Dl.O(d1) = 39737430,39737429,49756231,49184155,39258233,30662313,30662312,39258231,49184153,60584084,59646888,59646887,52045203,47757769,42464845,33471330,25698107,19072414,13615986,9323420,9323421,254417092,17801712,12601486,12601485,17801715,24169165,31677623,254871396 Dl.O(d2) = 49746833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7906793, s2 = 1921406, dlinesl.size( ) = 8 s1 = 6421335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10134780, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1861457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1861457, s2 = 6600321, int(edited[s2]) = 0 s1 = 1861457, s2 = 6600321, d1 = 15, d2 = 17 Dl.O(d1) = 48345849 Dl.O(d2) = 256413479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1861457, s2 = 6600321, dlinesl.size( ) = 20 s1 = 6600320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6600320, s2 = 1507942, int(edited[s2]) = 0 s1 = 6600320, s2 = 1507942, d1 = 16, d2 = 12 Dl.O(d1) = 256413478 Dl.O(d2) = 38443747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6600320, s2 = 1507942, dlinesl.size( ) = 20 s1 = 8392702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8392702, s2 = 12274334, int(edited[s2]) = 0 s1 = 8392702, s2 = 12274334, d1 = 0, d2 = 0 Dl.O(d1) = 152517817,139800563,126427593,126427592,139800565,152517819,164381738,262653368,175171163,184745671,193105937,200280388,206339769,211350065,274183427,265364513,226273689,228126850,228126851,226273690,224144553,221689477,218830166,215445406,211350071,206339773,200280391,193105942,184745673,184745674,263854649,200280390,206339772,211350069,211350074,211350075,215445409,218830163,215445402,211350066,211350067,215445403,218830165,221689475,224144552,222875965,274222537,213236479,208588875,202933678,196186249,188300299,179245811,168956186,157490645,262414567,179245810,188300298,196186245,202933675,208588871,264845831,265271187,225180504,227183198,228932112,230475398,231848510,233084575,234201921,235217532,236142065,236984556,237753440,266724837,237378232,236573514,235690289,266316941,266099913,229744668,228118280,265697725,224135858,221680578,218821222,215435995,211339861,206327780,200266410,193089535,184727014,175150077,164357804,152491009,139770956,126396098,112526077,98531704,98531703,98531636,84607154,259297571,84607201,71043327,58327849,58327848,258670975,98531684,84607196,71043324,58327847,269778561,84607189,98531680,112526060,126396068,126396067,125548845,125548844,126396065,112526038,112526037,126396063,125548843,111742875,260474431,111742904,111742906,271342019,86087302,72489938,72489937,86087300,100049837,86087281,86087283,100049840,114076249,100049820,86087259,72489888,59755702,59755701,258771131,86087262,86087263,260014383,114076262,259396371,72489942,59755740,48373232,48373234,59755742,72489943,86087294,85394402,72489927,59755730,59755731,72489929,86087288,72489922,72489923,86087290,86087297,72489931,72489930,72489913,59755718,48373210,38471575,255704704,59755716,257250322,38471583,38471581,38471594,38471595,257537877,72486250,86083684,100046438,114072840,116031383,101984435,101984436,116031384,126291925,124002154,124002155,259909270,98439723,258038770,61624801,257429026,258663372,101984426,259290012,85907509,85907510,99863059,113882071,127757770,141115384,153788738,152376373,139655908,126285991,112423327,98435157,84513707,70950168,70950167,259289493,112423321,126285983,139655895,152376361,164248910,154136520,141466926,128101431,114212886,100180683,100180682,100180687,86216907,72618427,59880062,59880064,72618433,86216913,100180695,114212907,128101448,114312076,114312078,128194884,130413829,116575080,114312059,100281666,86319563,72722080,59984605,59984606,72722084,259412523,114312062,114312088,100281688,86319581,86319539,86319538,100281628,114312016,100281690,100281691,271817159,114312064,100281671,86319567,86319568,100281673,114312067,100835804,100835805,114585699,112993315,112993316,126847038,112993327,260129704,100542903,100542904,100542938,100542937,101897896,100542880,86582253,86582254,72985345,60250027,48857429,38938182,30352236,22950522,22950521,30352235,38938177,48857425,60250021,72985338,86582266,100542886,100542918,86582306,72985367,60250042,257576673,48857464,60250082,269865065,49821693,39800890,31120415,23633962 Dl.O(d2) = 152517817,139800563,126427593,126427592,139800565,152517819,164381738,262653368,175171163,184745671,193105937,200280388,206339769,211350065,274183427,265364513,226273689,228126850,228126851,226273690,224144553,221689477,218830166,215445406,211350071,206339773,200280391,193105942,184745673,184745674,263854649,200280390,206339772,211350069,211350074,211350075,215445409,218830163,215445402,211350066,211350067,215445403,218830165,221689475,224144552,222875965,274222537,213236479,208588875,202933678,196186249,188300299,179245811,168956186,157490645,262414567,179245810,188300298,196186245,202933675,208588871,264845831,265271187,225180504,227183198,228932112,230475398,231848510,233084575,234201921,235217532,236142065,236984556,237753440,266724837,237378232,236573514,235690289,266316941,266099913,229744668,228118280,265697725,224135858,221680578,218821222,215435995,211339861,206327780,200266410,193089535,184727014,175150077,164357804,152491009,139770956,126396098,112526077,98531704,98531703,98531636,84607154,259297571,84607201,71043327,58327849,58327848,258670975,98531684,84607196,71043324,58327847,269778561,84607189,98531680,112526060,126396068,126396067,125548845,125548844,126396065,112526038,112526037,126396063,125548843,111742875,260474431,111742904,111742906,271342019,86087302,72489938,72489937,86087300,100049837,86087281,86087283,100049840,114076249,100049820,86087259,72489888,59755702,59755701,258771131,86087262,86087263,260014383,114076262,259396371,72489942,59755740,48373232,48373234,59755742,72489943,86087294,85394402,72489927,59755730,59755731,72489929,86087288,72489922,72489923,86087290,86087297,72489931,72489930,72489913,59755718,48373210,38471575,255704704,59755716,257250322,38471583,38471581,38471594,38471595,257537877,72486250,86083684,100046438,114072840,116031383,101984435,101984436,116031384,126291925,124002154,124002155,259909270,98439723,258038770,61624801,257429026,258663372,101984426,259290012,85907509,85907510,99863059,113882071,127757770,141115384,153788738,152376373,139655908,126285991,112423327,98435157,84513707,70950168,70950167,259289493,112423321,126285983,139655895,152376361,164248910,154136520,141466926,128101431,114212886,100180683,100180682,100180687,86216907,72618427,59880062,59880064,72618433,86216913,100180695,114212907,128101448,114312076,114312078,128194884,130413829,116575080,114312059,100281666,86319563,72722080,59984605,59984606,72722084,259412523,114312062,114312088,100281688,86319581,86319539,86319538,100281628,114312016,100281690,100281691,271817159,114312064,100281671,86319567,86319568,100281673,114312067,100835804,100835805,114585699,112993315,112993316,126847038,112993327,260129704,100542903,100542904,100542938,100542937,101897896,100542880,86582253,86582254,72985345,60250027,48857429,38938182,30352236,22950522,22950521,30352235,38938177,48857425,60250021,72985338,86582266,100542886,100542918,86582306,72985367,60250042,257576673,48857464,60250082,269865065,49821693,39800890,31120415,23633962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8392702, s2 = 12274334, dlinesl.size( ) = 2 s1 = 8392702, s2 = 12274334, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8392702, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 1510197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1510197, s2 = 13518796, int(edited[s2]) = 0 s1 = 1510197, s2 = 13518796, d1 = 11, d2 = 24 Dl.O(d1) = 38488236 Dl.O(d2) = 59774545,59774544,72508572,86107172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1510197, s2 = 13518796, dlinesl.size( ) = 30 s1 = 1510505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1864792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1865094, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1511766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7866799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7866799, s2 = 7091980, int(edited[s2]) = 0 s1 = 7866799, s2 = 7091980, d1 = 2, d2 = 72 Dl.O(d1) = 7695254 Dl.O(d2) = 262453842 Dl.To( xleft[d1] ).size( ) = 5 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1865652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1865662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1866082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6472586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8351273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8351273, s2 = 8329830, int(edited[s2]) = 0 s1 = 8351273, s2 = 8329830, d1 = 44, d2 = 22 Dl.O(d1) = 99627880,259983784,258116940,257545133,47966435,258116939,85678541,99627879 Dl.O(d2) = 259712014,117719770,257836916,18168913,24619802,18192718,12903695,8777788,5716914,5716917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8351273, s2 = 8329830, dlinesl.size( ) = 16 s1 = 10143007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13530857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1514099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13647315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9457024, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1870504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9061656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1518116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344974, s2 = 14328697, int(edited[s2]) = 0 s1 = 10344974, s2 = 14328697, d1 = 10, d2 = 10 Dl.O(d1) = 255555102,15270075,10536981,6948931,6948933,6965388,6965391,10528801,10567168,10567169,11746991,16800207,17164415,17164414,15291491,15291490,15489656,10711398,7076406,7076405,10711394,15489651,21264998,15302757,10566955,6969714,6969713,10566954,15302754,255179776,17163928,17163930,268837350,15093326,10409803,10409802,15093324,255801301,255065169,10993568,10993471,10993472,15861163,21951798,29275478,37842185,29275577,28327194,28327195,36822783,36822714,36822713,37842193,29275492,29275493,37842198,46705522,36822738,28327137,255380861,10463039,10463037,15170737,21117102,28327113,36822704,46705477,258026063,84353643,86017055,86017073,74143359,61362753,49881217,39858254,39858255,49881219,59896084,257637292,59896030,59896028,49881190,49881191,61362708,68075187,55676284,55676285,58077645,70795028,61362679,49881174,39858224,31175656,31175657,39858227,49881178,49881239,61362789,72420351,86017018,72637910,72637909,74143261,74143262,87747765,88133090,74520912,74520911,86017059,86017060,74143250,61362664,49881165,49881166,61362669,74143256,84353667,74143357,74143356,61738997,50260489,40241027,256032443,17696930,17696931,24050605,31554890,40241053,50260535,61739061,50260589,50260590,61739142,74520985,74521031,67875340,55524694,55524696,67875346,73535339,60787921,60787917,73535331,87153815,260024225,87737867,259492503,101712051,88133036,74520844,61739019,61739013,61739014,74520836,88133030,101711811,87737637,74131872,61350085,61350086,74131876,87737610,95391071,95391072,87737724,74131914,74131915,87737615,87737616,101091795,115169040,116178409,116606893,116606894,113981566,102501950,88492953,270665920,114000864,125469130,115979840,101935395,87962611,74360377,61583866,50103976,50103977,50563952,62056673,74855712,88492923,88492939,102501932,101720771,101720772,115766034,129662977,126709727,126709728,140057428,129877387,115979827,115979828,114000891,99976984,99976985,102314705,114000876,114000877,99976981,99976938,86017137,86017138,99976942,114000845,127879146,127527932,127527931,116406933,113656032,113656033,123573411,258178880,81069545,67601396,67601395,81069543,95127704,95227984,81171856,67706388,258535617,270676114,76941336,76941335,85451754,99392503,85451757,81171870,67706399,55366793,269366586,85693297,85693298,99642250,99392550,99392549,91968068,91968069,100821019,86839725,85451776,71866864,59128541,59128539,71866857,257290306,47985192,257430364,52919263,52919264,59374984,255823614,42163649,42163648,47985002,47985001,59375035,72107535,64844075,52919082,52919081,64844072,78041092,91968020,78041200,72107489,59521931,48134856,48134857,269397496,260420400,61839862,74632099,258433376,42560727,33544300,25755643,19117339,19117338,25755641,25755649,19117344,13649288,9346537,6121940,6121939,9346534,8843087,8843088,12989709,268172801,14340628,20022407,26905638,34985786,26905508,26905509,34985751,34985699,34985700,34985750,26905569,26905568,26905633,26905634,22342920,16194062,16194063,22342921,21381884,20022415,20022300,14340542,9852154,6471530,6471529,9852152,14340538,14340462,9852098,9852099,14340464,14340564,9852167,6471542,4055527,4055526,6471537,9852162,14340555,20022318,26905519,34985799,34985708,26905438,26905439,33290545,37543288,33290240,25529537,25261603,25261602,32985067,33290386,25529645,18919614,18919615,21713000,15670420,15670419,18919519,25529510,26905442,26905441,33290212,33290213,27204074,25529511,21712992,21712994,28997873,25529476,18919487,255265316,256133671,28997856,25529725,18919676,18919675,25529722,25529805,25529806,25529513,25529512,33290217,42270427,52656248,42270618,37543269,37543270,28997887,21713009,15670426,10848397,9228025,9228026,13487817,13488009,18919750,255668957,18919692,25529744,25529795,25529796,33290529,28997858,28997859,30088535,22706611,16502504,16502505,22706614,21712974,15670404,10848386,10848387,15670407,13487933,9228110,9228109,13487931,18919538,25529529,28997870,21712990,21712989,25529539,18919550,13487834,9228039,9228038,254907580,18919537,13487826,9228033,6043868,6043869,9228036,13487830,13487802,9228014,6043858,6043859,9228015,9228041,13487837,18919530,25529365,18919392,255668913,13487790,9228007,9228006,9228090,6043907,6043908,3781779,3781731,2265421,2265420,3781729,6043927,9228119,255265353,25529737,255265361,9228177,9228176,9228193,6043980,3781757,2265433,1314180,1314178,254300513,254652397,6044005,6043849,3781685,2265413,1314166,750104,750103,1314165,2265410,3781710,6043897,9228072,13487871,9228061,6043942,6043941,254924783,9228085,9228086,9227967,6043930,6043931,9228128,13487700,9227939,9227938,13487699,18919377,25529343,268748953,25529445,18919457,13487765,9227985,6043836,6043835,6043953,6043954,9228160,13487805,13487784,9227996,6043843,6043817,6043815,9227961,13487731,18919414,18919721,13487973,13487972,18919719,25529767,33290167,33290168,42270313,42270312,48563284,38647907,30072114,255488539,11489780,11489779,16490886,22692250,16495570,11492950,11492951,16495572,22698544,30079934,38656992,48572862,38656979,256972701,59964906,48572926,38657048,30079978,30079977,38657046,48572864,38657002,38657001,48572881,55200833,44350395,34973137,26894134,26894135,34973139,44350399,55200839,59955271,48572873,48572872,48572870,38656990,38656991,48572871,59964912,48572887,48572886,59964930,72702341,259410981,86299493,86299492,72702385,59964971,48572920,38657044,38657043,48572917,59964966,259410985,81014264,67544596,67544597,72041286,72041285,72041293,59305676,47911281,37995243,29432808,22100732,22100733,29432810,37995246,47911287,48572868,48572867,44350403,44350404,257901619,59305668,47911275,37995240,29432806,29432807,37995241,47911278,37995247,29432827,29432825,37995269,258113603,59305705,47911313,47909413,255887662,255075722,255449113,29431115,37993310,47909416,43973870,37995260,37995261,47911305,59305697,72041311,80406855,85628069,270385658,258882798,85629292,85629291,80406853,66976566,54717654,43973868,43973869,54717655,66976568,80406857,94466688,103717081,99578209,99578210,97943258,89602142,75820188,75820189,80406859,72041304,72041303,256493214,63825467,52009548,41697825,41697824,52009547,63825465,70534040,84070375,89602150,89602149,97943260,84070368,257651274,97943264,84070374,75820195,75820196,84070372,84070373,75820199,62856557,51206834,41049991,41049992,32781426,25084034,25084035,254831416,51206832,62107115,63825460,52009544,52009545,62856563,75820204,88550008,102556545,257651276,62107120,51206840,41049999,41050000,51206842,62856566,74911299,62107135,50607878,40566449,40566448,50607875,41049998,32256102,32256101,41049996,47289152,37379696,28839461,21567974,15545789,15545788,21567972,255159428,47289141,58680280,71414084,71414083,84987989,98913397,112901374,112901380,126753996,134995878,272731785,153488232,261157059,113572447,99556439,258735751,59280350,47883801,37965166,31638826,31638825,40328496,50058489,40039072,31359097,23865131,17520857,12355380,12355379,255565811,31359088,30561817,23144736,23144737,17521000,12355501,255565825,256522905,257234372,58302824,46936789,37058376,28557622,21331898,15359256,254333316,4400665,4119966,2464418,1424602,877259,865731,491005 Dl.O(d2) = 255555102,15270075,10536981,6948931,6948933,6965388,6965391,10528801,10567168,10567169,11746991,16800207,17164415,17164414,15291491,15291490,15489656,10711398,7076406,7076405,10711394,15489651,21264998,15302757,10566955,6969714,6969713,10566954,15302754,255179776,17163928,17163930,268837350,15093326,10409803,10409802,15093324,255801301,255065169,10993568,10993471,10993472,15861163,21951798,29275478,37842185,29275577,28327194,28327195,36822783,36822714,36822713,37842193,29275492,29275493,37842198,46705522,36822738,28327137,255380861,10463039,10463037,15170737,21117102,28327113,36822704,46705477,258026063,84353643,86017055,86017073,74143359,61362753,49881217,39858254,39858255,49881219,59896084,257637292,59896030,59896028,49881190,49881191,61362708,68075187,55676284,55676285,58077645,70795028,61362679,49881174,39858224,31175656,31175657,39858227,49881178,49881239,61362789,72420351,86017018,72637910,72637909,74143261,74143262,87747765,88133090,74520912,74520911,86017059,86017060,74143250,61362664,49881165,49881166,61362669,74143256,84353667,74143357,74143356,61738997,50260489,40241027,256032443,17696930,17696931,24050605,31554890,40241053,50260535,61739061,50260589,50260590,61739142,74520985,74521031,67875340,55524694,55524696,67875346,73535339,60787921,60787917,73535331,87153815,260024225,87737867,259492503,101712051,88133036,74520844,61739019,61739013,61739014,74520836,88133030,101711811,87737637,74131872,61350085,61350086,74131876,87737610,95391071,95391072,87737724,74131914,74131915,87737615,87737616,101091795,115169040,116178409,116606893,116606894,113981566,102501950,88492953,270665920,114000864,125469130,115979840,101935395,87962611,74360377,61583866,50103976,50103977,50563952,62056673,74855712,88492923,88492939,102501932,101720771,101720772,115766034,129662977,126709727,126709728,140057428,129877387,115979827,115979828,114000891,99976984,99976985,102314705,114000876,114000877,99976981,99976938,86017137,86017138,99976942,114000845,127879146,127527932,127527931,116406933,113656032,113656033,123573411,258178880,81069545,67601396,67601395,81069543,95127704,95227984,81171856,67706388,258535617,270676114,76941336,76941335,85451754,99392503,85451757,81171870,67706399,55366793,269366586,85693297,85693298,99642250,99392550,99392549,91968068,91968069,100821019,86839725,85451776,71866864,59128541,59128539,71866857,257290306,47985192,257430364,52919263,52919264,59374984,255823614,42163649,42163648,47985002,47985001,59375035,72107535,64844075,52919082,52919081,64844072,78041092,91968020,78041200,72107489,59521931,48134856,48134857,269397496,260420400,61839862,74632099,258433376,42560727,33544300,25755643,19117339,19117338,25755641,25755649,19117344,13649288,9346537,6121940,6121939,9346534,8843087,8843088,12989709,268172801,14340628,20022407,26905638,34985786,26905508,26905509,34985751,34985699,34985700,34985750,26905569,26905568,26905633,26905634,22342920,16194062,16194063,22342921,21381884,20022415,20022300,14340542,9852154,6471530,6471529,9852152,14340538,14340462,9852098,9852099,14340464,14340564,9852167,6471542,4055527,4055526,6471537,9852162,14340555,20022318,26905519,34985799,34985708,26905438,26905439,33290545,37543288,33290240,25529537,25261603,25261602,32985067,33290386,25529645,18919614,18919615,21713000,15670420,15670419,18919519,25529510,26905442,26905441,33290212,33290213,27204074,25529511,21712992,21712994,28997873,25529476,18919487,255265316,256133671,28997856,25529725,18919676,18919675,25529722,25529805,25529806,25529513,25529512,33290217,42270427,52656248,42270618,37543269,37543270,28997887,21713009,15670426,10848397,9228025,9228026,13487817,13488009,18919750,255668957,18919692,25529744,25529795,25529796,33290529,28997858,28997859,30088535,22706611,16502504,16502505,22706614,21712974,15670404,10848386,10848387,15670407,13487933,9228110,9228109,13487931,18919538,25529529,28997870,21712990,21712989,25529539,18919550,13487834,9228039,9228038,254907580,18919537,13487826,9228033,6043868,6043869,9228036,13487830,13487802,9228014,6043858,6043859,9228015,9228041,13487837,18919530,25529365,18919392,255668913,13487790,9228007,9228006,9228090,6043907,6043908,3781779,3781731,2265421,2265420,3781729,6043927,9228119,255265353,25529737,255265361,9228177,9228176,9228193,6043980,3781757,2265433,1314180,1314178,254300513,254652397,6044005,6043849,3781685,2265413,1314166,750104,750103,1314165,2265410,3781710,6043897,9228072,13487871,9228061,6043942,6043941,254924783,9228085,9228086,9227967,6043930,6043931,9228128,13487700,9227939,9227938,13487699,18919377,25529343,268748953,25529445,18919457,13487765,9227985,6043836,6043835,6043953,6043954,9228160,13487805,13487784,9227996,6043843,6043817,6043815,9227961,13487731,18919414,18919721,13487973,13487972,18919719,25529767,33290167,33290168,42270313,42270312,48563284,38647907,30072114,255488539,11489780,11489779,16490886,22692250,16495570,11492950,11492951,16495572,22698544,30079934,38656992,48572862,38656979,256972701,59964906,48572926,38657048,30079978,30079977,38657046,48572864,38657002,38657001,48572881,55200833,44350395,34973137,26894134,26894135,34973139,44350399,55200839,59955271,48572873,48572872,48572870,38656990,38656991,48572871,59964912,48572887,48572886,59964930,72702341,259410981,86299493,86299492,72702385,59964971,48572920,38657044,38657043,48572917,59964966,259410985,81014264,67544596,67544597,72041286,72041285,72041293,59305676,47911281,37995243,29432808,22100732,22100733,29432810,37995246,47911287,48572868,48572867,44350403,44350404,257901619,59305668,47911275,37995240,29432806,29432807,37995241,47911278,37995247,29432827,29432825,37995269,258113603,59305705,47911313,47909413,255887662,255075722,255449113,29431115,37993310,47909416,43973870,37995260,37995261,47911305,59305697,72041311,80406855,85628069,270385658,258882798,85629292,85629291,80406853,66976566,54717654,43973868,43973869,54717655,66976568,80406857,94466688,103717081,99578209,99578210,97943258,89602142,75820188,75820189,80406859,72041304,72041303,256493214,63825467,52009548,41697825,41697824,52009547,63825465,70534040,84070375,89602150,89602149,97943260,84070368,257651274,97943264,84070374,75820195,75820196,84070372,84070373,75820199,62856557,51206834,41049991,41049992,32781426,25084034,25084035,254831416,51206832,62107115,63825460,52009544,52009545,62856563,75820204,88550008,102556545,257651276,62107120,51206840,41049999,41050000,51206842,62856566,74911299,62107135,50607878,40566449,40566448,50607875,41049998,32256102,32256101,41049996,47289152,37379696,28839461,21567974,15545789,15545788,21567972,255159428,47289141,58680280,71414084,71414083,84987989,98913397,112901374,112901380,126753996,134995878,272731785,153488232,261157059,113572447,99556439,258735751,59280350,47883801,37965166,31638826,31638825,40328496,50058489,40039072,31359097,23865131,17520857,12355380,12355379,255565811,31359088,30561817,23144736,23144737,17521000,12355501,255565825,256522905,257234372,58302824,46936789,37058376,28557622,21331898,15359256,254333316,4400665,4119966,2464418,1424602,877259,865731,491005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344974, s2 = 14328697, dlinesl.size( ) = 2 s1 = 10344974, s2 = 14328697, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10344974, Dl.E( ) = 12, 1.19e-05 seconds used appending s1 = 11657776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1519071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9716814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9361125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9340014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163274, s2 = 8308899, int(edited[s2]) = 0 s1 = 14163274, s2 = 8308899, d1 = 20, d2 = 23 Dl.O(d1) = 77909623,91830227,106024413,109425840,119881699,109425821,95169466,81111005,67644697,55305758,55305759,64322289,52455088,42102633,256124619,25408034,33148479,42102620,42102621,52455071,64322271,52455072,52291078,41950372,33008165,33008166,41950374,52291082,64143129,77292147,87033704,258541444,66875665,259132763,87915573,87915572,95169482,81111019,81111018,67644723,55305788,55305789,67644727,270659627,94362012,80305293,66875664,54617756,43875298,34604803,34604804,43875299,44772659,35347455,27224429,27224426,35347454,44460750,55305770,50480133,40443711,40443712,50480137,61972847,74770176,77486207,88402472,102403265,115591404,270882154,81570030,269640892,55681495,68080199,259287667,81570035,95603508,95169455,81110993,81110994,95169460,102403270,91275509,77355635,77355636,91275511,87592546,73992234,61213444,61213446,73992235,87592549,255754100,86431115,74770185,61972859,50480148,40443719,31749167,24238038,24238039,255153150,50480154,61972805,50480109,50480108,61972804,72836605,60100002,60100003,60195204,72934490,61972821,50480120,46845338,46845339,58213354,70930638,84494856,81110996,67644688,55305750,256744855,27000682,27000681,35085479,44460738,39716484,39716483,49735068,61213448,73992242,61972834,50480129,50480130,61972837,268977242,61972868,50480153,40443722,40443720,50480152,256490998,50480126,50480125,61972828,74770143,256490996,61972816,268977240,87722603,81111008,67644704,55305767,44460747,256230154,39716487,31039036,31039035,39716485,49735073,61213452,49851906,39828468,31146269,268675625,33016606,33016605,257184441,64152196,60096622,48700647,38778277,30194063,22803574,22270027,16128680,255899215,256754750,255753318,19434926,19434927,26129886,255318242,53506157,62099073,62099075,58347098,255104576,28588056,37094374,32067346,32067345,40513800,31817426,256090473,18395770,18395769,24898308,24898340,24898339,30269264,30269265,24336220,17946381,17946382,24336222,21760698,15705394,15705395,13571673,9292103,7188281,4528725,2722335,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660000,1175717,2050038,3457990,5574413,5573622,5573621,8578037,10725838,7086624,4461834,4000266,4000267,6375469,6375468,9693286,13379641,9145192,5984570,5984571,7592886,6421657,4028619,2414077,2414079,4028597,6421608,9766958,14207580,10937180,10937179,13017812,8863281,7065312,7065311,10694454,11787727,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838680,11111454,10775690,7119786,4862364,4862367,7684600,11550265,16569172,16554087,255935869 Dl.O(d2) = 257037805,39524398,49457998,60860979,256874902,29231576,22710959,16506893,16506892,22710957,28542674,21319302,21319301,22702632,22706604,22706603,30088529,28787837,28787838,268298213,13484584,10727730,7087825,4462592,4462593,7087830,7646333,4837644,4837645,3930190,3930193,6276515,9564630,13934147,16498339,11495264,7645726,4837141,4837142,4837563,2915124,2915123,4837561,254790863,7646220,4837685,4837131,4837133,7645714,11495245,11495952,7646319,4837637,2915175,254169157,541933,303684,168100,168099,303682,541929,961634,1691082,2915052,2915107,1691066,1691065,2915103,2915116,2915115,4837555,267980003,11495672,11495211,7645686,4837110,2914751,1690840,961505,961506,1690841,2914752,4837111,3501625,2081345,1197236,674159,674161,1197243,2082388,2082773,1197412,1197413,2082778,3503886,3503885,5637669,8665540,5638539,5638538,254542336,5780294,8829878,5753686,3582869,2135167,1232159,961453,961452,1690780,2914651,4836955,2914653,2914654,1690826,961495,541861,303649,168083,92521,92520,92515,51047,51048,92517,168078,303638,541846,961476,542239,542238,962205,1691157,1691156,2915253,2917179,4840921,4837056,2914719,1690824,1690823,2914717,1691708,962032,962031,1691705,1692206,962276,542282,303868,267744783,962274,1692204,2917171,4840912,7651154,11502458,16506702,21746038,17457046,12306640,8312405,267997175,23787989,31273452,30446119,30446118,39035575,38214712,38214711,42780138,33749117,255066560,13780795,13780779,13780778,9970140,9970141,9448523,9448524,8957361,8957362,255109038,25031107,21522512,21522513,28786414,30086349,30086026,22704168,22704169,30086027,38663281,48579401,59971191,71424688,58691938,47301480,37392270,28852043,21579986,15556579,10760277,10760278,15556582,21579989,21939624,21939623,21939582,15851425,15851426,21939584,255386206,47748349,59147090,71885204,258656458,102515741,88507750,88507749,102515737,116619560,261436880,142478023,129100433,115169124,101091895,87094557,73476493,60728276,49326200,39397976,30795052,23368874,23368873,30795050,39397972,48918728,38994828,38994827,48918726,60317296,257045850,62392811,62392810,62392817,50815190,50815189,62392816,75285342,75285343,71841186,71841187,72060543,72060545,60749347,49346464,39416977,33673842,33673841,42704245,39345683,39345684,49271891,47934609,38020915,29459052,22124808,22124810,29459056,38020917,47934611,59326254,68116234,81604890,87116830,87116829,73498148,73498147,60749286,49346405,49346406,60749287,73498152,64711874,52798065,52798064,257520954,91821848,259378468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163274, s2 = 8308899, dlinesl.size( ) = 24 s1 = 1522829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1522829, s2 = 7057662, int(edited[s2]) = 0 s1 = 1522829, s2 = 7057662, d1 = 181, d2 = 101 Dl.O(d1) = 38741917,44087983,34765700,26741313,19903478,14300963,9830893,6458014,4047974,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372 Dl.O(d2) = 261967991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1522829, s2 = 7057662, dlinesl.size( ) = 32 s1 = 7607137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1877194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8341138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 171753, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13590789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8356474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8091601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8091601, s2 = 14059505, int(edited[s2]) = 0 s1 = 8091601, s2 = 14059505, d1 = 6, d2 = 6 Dl.O(d1) = 5246747,8177257,12147677,254240090,5040099,5040097,5294483,3245660,3245659,2062442,1886167,1886168,1920033,1920035,3224947,3265293,1919240,1096321,1096322,1919243,3208297,5250984,4611128,2776337,1610568,1610569,1912309,3255440,254357780,1863546,1863544,2999258,2780661,2780659,4617920,254760345,7493427,254355737,1656668,942609,531617,531616,942607,1088285,1654917,2852010,2852109,4733468,5281486,267994189,7317324,4619312,4619311,5253556,5252168,5252167,4620473,4620472,7318651,7300710,4605184,4605185,4605197,4605196,4617675,4617676,7315222,11040927,11044043,15921427,12152124,8182609,5252364,5252363,8150888,5307588,3257754,254183097,613555,613556,254172241,988483,1739401,2699482,4493201,7085901,7493945,11287062,8232935,5305041,3255664,1912456,1912457,3255667,5289558,4736830,4733348,2852022,1656664,942653,531644,298126,165101,90867,50048,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078139,1889403,268108570,1091423,1091422,254266025,1905314,1091073,1091074,1910642,1095229,614832,341797,340571,186931,102117,102118,186933,102399,102401,187539,341814,187504,102388,102386,187498,341798,614833,1095231,1917497,254395479,1906811,1088688,1088687,1871892,1067718,1067716,1871889,1877911,1071341,1071340,254181093,3213943,5258078,8188561,12157993,17278415,23147856,16887266,16887265,18776764,18776763,16599561,16599560,13370015,9137829,9137830,9141533,9141534,13374960,255859403,18780934,17621154,12439724,254598223,3335379,3335380,267911291,12439726,10853438,7175522,7175521,8411079,8411078,12442735,12440019,8443788,5452741,5452743,8443797,8440176,8440178,12471001,12480876,12470591,8439737,5449421,3349995,3349996,5449408,3349990,3349989,5449404,8439705,8405579,8405580,12436960,12437554,12437555,17619392,23968959,17633210,12480778,12437149,12437150,8451624,5459515,3356607,1973289,1126568,1126570,1973294,3356621,5459552,5460028,3356924,3356925,5460036,5424822,3334851,3334852,5424827,8406891,8444021,8444022,12474349,17621079,17646978,12481527,12481526,270135808,8406335,8406333,8409276,8448111,5456505,3354577,1972072,1125956,631440,631438,1125953,1972067,3354568,5456492,5424177,3334465,1961096,1120288,1120289,1961097,3334469,5424182,7250874,7250875,8419149,8429864,8438291,8444748,5453656,5453657,8425740,8425730,5454030,3352963,3352962,5454025,3353257,1971328,1125551,1125550,1971324,3353248,5454442,5454724,3353433,1971406,1125597,1125598,1971408,3353437,5454726,5454727,8446011,12475946,17648277,23992896,31490373,40175701,50199469,61682727,74465748,88078003,102064169,114906768,100856133,86875321,73263052,269368011,39186570,30589056,23170805,16907398,16907397,23170804,30589053,30589033,30589032,39186548,47823294,49883690,53512652,50556607,49115298,39186534,39186535,39186545,49115309,257189996,49961471,257628278,49884394,39861683,31179003,23689626,17367497,14210254,12865696,8749625,8749627,12235402,12865890,12865888,8749860,8749861,255220219,24588634,32174814,40954264,257563366,38776949,255938839,16585819,255496125,11819668,11819669,16890932,20064345,14380182,9885991,9885992,14375625,11569135,11569136,9883006,9883007,14376973,14394006,9900274,6506999,4077593,4077592,6506997,9900272,14394001,11589685,7714638,7714637,11589683,15729769,14378379,9884396,7203972,7203973,10893088,15729741,21777918,15718799,11568484,255114473,6500359,7204514,7204510,10889986,7701349,4874145,2937058,2937059,4874150,7701362,6486224,4064331,4064332,6486227,7482628,4728722,2849002,1652967,940180,940183,1652971,2849011,4728735,7482646,10811431,268211857,23631115,17315136,255549613,12190596,8220710,5290565,3241944,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,15683696,15683694,21731192,15683687,15683685,17315267,12190576,8220696,5290554,5290555,8220702,12190585,17315279,15675673,15675672,21719740,21731631,29020542,23630412,21951074,21951075,21672614,15635273,10819792,10819791,15635266,21672604,17147432,17147430,23424842,30855804,29003425,29003427,29003463,25451616,18853301,13432605,13432607,18853308,13432654,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639803,16675867,22908017,22907509,16675530,11639598,7754442,4911040,254245789,975309,549114,549115,975313,1716490,2960209,4911091,7754561,11639787,16675844,22907986,29033091,21741681,21741680,29031604,21740359,21740357,24234231,255201129,12647846,17860209,24234236,30306425,28171096,28171095,36646708,46514246,50470760,47463023,37555551,29009379,21722797,21716975,15673277,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,29020740,21731821,21731819,29020739,37567069,255857729,255857727,29019901,21731104,15683641,10857572,10857570,15683635,21731092,29019887,37566466,31743418,24233447,17859627,12647474,8587175,5579849,5579852,8587167,5579843,5579845,8587169,12647465,255591301,21724000,15696972,10866259,8587193,8587192,12647496,17859669,21730614,15685030,10858345,7178678,4522117,4522116,7178674,10858339,15684985,15684986,12647517,12647518,14450831,14450828,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856297,255965626,40319108,40319107,37578603,37570013,37570012,37569743,37569745,29042210,24232062,21729194,15682400,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,894921,505364,283291,283290,505357,895878,1575742,2719421,2718212,1575032,895513,505163,505164,895519,895653,1573958,1573957,2716337,2721311,2718841,1575377,1575378,2718844,4523314,4527184,4523161,2718726,1575327,895660,895661,1575331,2716532,1575679,895843,895844,1575683,896154,505516,283371,156462,85889,47128,26260,14809,8263,4455,2331,1149,1148,2330,4452,8261,14801,8475,4592,2405,2404,4590,8470,15082,8436,8437,8046,8045,14511,16987,29615,254079315,313192 Dl.O(d2) = 5246747,8177257,12147677,254240090,5040099,5040097,5294483,3245660,3245659,2062442,1886167,1886168,1920033,1920035,3224947,3265293,1919240,1096321,1096322,1919243,3208297,5250984,4611128,2776337,1610568,1610569,1912309,3255440,254357780,1863546,1863544,2999258,2780661,2780659,4617920,254760345,7493427,254355737,1656668,942609,531617,531616,942607,1088285,1654917,2852010,2852109,4733468,5281486,267994189,7317324,4619312,4619311,5253556,5252168,5252167,4620473,4620472,7318651,7300710,4605184,4605185,4605197,4605196,4617675,4617676,7315222,11040927,11044043,15921427,12152124,8182609,5252364,5252363,8150888,5307588,3257754,254183097,613555,613556,254172241,988483,1739401,2699482,4493201,7085901,7493945,11287062,8232935,5305041,3255664,1912456,1912457,3255667,5289558,4736830,4733348,2852022,1656664,942653,531644,298126,165101,90867,50048,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078139,1889403,268108570,1091423,1091422,254266025,1905314,1091073,1091074,1910642,1095229,614832,341797,340571,186931,102117,102118,186933,102399,102401,187539,341814,187504,102388,102386,187498,341798,614833,1095231,1917497,254395479,1906811,1088688,1088687,1871892,1067718,1067716,1871889,1877911,1071341,1071340,254181093,3213943,5258078,8188561,12157993,17278415,23147856,16887266,16887265,18776764,18776763,16599561,16599560,13370015,9137829,9137830,9141533,9141534,13374960,255859403,18780934,17621154,12439724,254598223,3335379,3335380,267911291,12439726,10853438,7175522,7175521,8411079,8411078,12442735,12440019,8443788,5452741,5452743,8443797,8440176,8440178,12471001,12480876,12470591,8439737,5449421,3349995,3349996,5449408,3349990,3349989,5449404,8439705,8405579,8405580,12436960,12437554,12437555,17619392,23968959,17633210,12480778,12437149,12437150,8451624,5459515,3356607,1973289,1126568,1126570,1973294,3356621,5459552,5460028,3356924,3356925,5460036,5424822,3334851,3334852,5424827,8406891,8444021,8444022,12474349,17621079,17646978,12481527,12481526,270135808,8406335,8406333,8409276,8448111,5456505,3354577,1972072,1125956,631440,631438,1125953,1972067,3354568,5456492,5424177,3334465,1961096,1120288,1120289,1961097,3334469,5424182,7250874,7250875,8419149,8429864,8438291,8444748,5453656,5453657,8425740,8425730,5454030,3352963,3352962,5454025,3353257,1971328,1125551,1125550,1971324,3353248,5454442,5454724,3353433,1971406,1125597,1125598,1971408,3353437,5454726,5454727,8446011,12475946,17648277,23992896,31490373,40175701,50199469,61682727,74465748,88078003,102064169,114906768,100856133,86875321,73263052,269368011,39186570,30589056,23170805,16907398,16907397,23170804,30589053,30589033,30589032,39186548,47823294,49883690,53512652,50556607,49115298,39186534,39186535,39186545,49115309,257189996,49961471,257628278,49884394,39861683,31179003,23689626,17367497,14210254,12865696,8749625,8749627,12235402,12865890,12865888,8749860,8749861,255220219,24588634,32174814,40954264,257563366,38776949,255938839,16585819,255496125,11819668,11819669,16890932,20064345,14380182,9885991,9885992,14375625,11569135,11569136,9883006,9883007,14376973,14394006,9900274,6506999,4077593,4077592,6506997,9900272,14394001,11589685,7714638,7714637,11589683,15729769,14378379,9884396,7203972,7203973,10893088,15729741,21777918,15718799,11568484,255114473,6500359,7204514,7204510,10889986,7701349,4874145,2937058,2937059,4874150,7701362,6486224,4064331,4064332,6486227,7482628,4728722,2849002,1652967,940180,940183,1652971,2849011,4728735,7482646,10811431,268211857,23631115,17315136,255549613,12190596,8220710,5290565,3241944,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,15683696,15683694,21731192,15683687,15683685,17315267,12190576,8220696,5290554,5290555,8220702,12190585,17315279,15675673,15675672,21719740,21731631,29020542,23630412,21951074,21951075,21672614,15635273,10819792,10819791,15635266,21672604,17147432,17147430,23424842,30855804,29003425,29003427,29003463,25451616,18853301,13432605,13432607,18853308,13432654,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639803,16675867,22908017,22907509,16675530,11639598,7754442,4911040,254245789,975309,549114,549115,975313,1716490,2960209,4911091,7754561,11639787,16675844,22907986,29033091,21741681,21741680,29031604,21740359,21740357,24234231,255201129,12647846,17860209,24234236,30306425,28171096,28171095,36646708,46514246,50470760,47463023,37555551,29009379,21722797,21716975,15673277,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,29020740,21731821,21731819,29020739,37567069,255857729,255857727,29019901,21731104,15683641,10857572,10857570,15683635,21731092,29019887,37566466,31743418,24233447,17859627,12647474,8587175,5579849,5579852,8587167,5579843,5579845,8587169,12647465,255591301,21724000,15696972,10866259,8587193,8587192,12647496,17859669,21730614,15685030,10858345,7178678,4522117,4522116,7178674,10858339,15684985,15684986,12647517,12647518,14450831,14450828,15684999,17856521,15673425,15673420,15697631,21736093,21721334,21721333,19666396,17856299,17856297,255965626,40319108,40319107,37578603,37570013,37570012,37569743,37569745,29042210,24232062,21729194,15682400,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,894921,505364,283291,283290,505357,895878,1575742,2719421,2718212,1575032,895513,505163,505164,895519,895653,1573958,1573957,2716337,2721311,2718841,1575377,1575378,2718844,4523314,4527184,4523161,2718726,1575327,895660,895661,1575331,2716532,1575679,895843,895844,1575683,896154,505516,283371,156462,85889,47128,26260,14809,8263,4455,2331,1149,1148,2330,4452,8261,14801,8475,4592,2405,2404,4590,8470,15082,8436,8437,8046,8045,14511,16987,29615,254079315,313192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8091601, s2 = 14059505, dlinesl.size( ) = 2 s1 = 8091601, s2 = 14059505, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8091601, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 6748866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8077744, s2 = 11388076, int(edited[s2]) = 0 s1 = 8077744, s2 = 11388076, d1 = 11, d2 = 8 Dl.O(d1) = 258142248,268639294,30200336,38784634,257564121,72838977,260037355,261760533 Dl.O(d2) = 262887168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077744, s2 = 11388076, dlinesl.size( ) = 12 s1 = 6716671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6716671, s2 = 8033755, int(edited[s2]) = 0 s1 = 6716671, s2 = 8033755, d1 = 13, d2 = 7 Dl.O(d1) = 257655420,30435477,27960726,27959867,27959868,36417854,30608851,23189502,23189501,25490548,18886684,13913026,9548809,7092610,7092609,10734778,15521482,21536604,28803131,28803130,255115074,255115072,255939882,256439563,256745802,72844786,86439392,100395029,114418367,128294284,114418370,100395030,100395032,114418372,270137254,72844788,257911106,256745802 Dl.O(d2) = 255329960,41477926,41477925,51747018,51746937,41477802,40229996,35343456,28318441,21108092,21108093,256297473,41477865,40197345,31511484,24011260,24011259,24937999,32600385,32600386,28491184,21274674,21274673,28491180,36988097,30889669,30889670,36988051,28491136,28491138,33197586,25451279,18853036,18853037,25451281,30540215,30540214,28318465,21108104,21108103,28318463,36814694,30361924,30361923,31543654,40197342,31511483,24011258,17664219,255577911,256875102,23457038,23457039,256490099,46793009,36915294,28417550,28417551,22120407,22120405,29454625,28306520,23873177,23873178,31367930,28491187,28491185,22960676,258788059,38681096,256496696,39727282,36716937,28223836,25050025,18513471,18513470,19442676,19442692,19442691,26138915,26662907,23564639,23564640,30886532,23454553,23454552,25826021,25826022,33628006,36423961,27965459,255643556,10251301,10251300,14908971,20803059,27965454,35192968,36455432,27997025,20832837,20832838,23834330,23834331,30886535,32740098,32740097,36423942,46276643,254497654,31048036,23563855,23563854,31047982,31047983,25825997,25825996,255474868,29436354,257503817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6716671, s2 = 8033755, dlinesl.size( ) = 8 s1 = 9465388, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1880564, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1880813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1881040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1881040, s2 = 8653557, int(edited[s2]) = 0 s1 = 1881040, s2 = 8653557, d1 = 5, d2 = 17 Dl.O(d1) = 48727789 Dl.O(d2) = 74207757,87810839,101783010,115829095,129728083,143058644,155607935,167238725,177735128,263621555,202010875,207826107,212619059,216535066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1881040, s2 = 8653557, dlinesl.size( ) = 2 s1 = 1881040, s2 = 8653557, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1881040, Dl.E( ) = 32, 1.79e-05 seconds used appending s1 = 6423369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6668371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6668371, s2 = 10345984, int(edited[s2]) = 0 s1 = 6668371, s2 = 10345984, d1 = 81, d2 = 88 Dl.O(d1) = 257132117,24593064,256070887,40958523,48739778 Dl.O(d2) = 7976709,6484941,6481583,254685911,4064512,4064511,2439323,2439325,4076892,6505934,9877542,9877541,7200418,7200417,10888580,9879305,6490525,4066945,2433645,2433644,4066944,4066939,4066941,6490518,6490415,6490416,9879175,255324933,26943407,23841117,17500706,12339992,8336658,8336657,12339990,14941368,20840805,23924420,254792750,21047914,28248058,25424631,25424632,255492112,17886088,18696950,25268768,26044281,33866330,29689077,29689076,31774241,31774242,32992853,25268766,18696949,18696948,14194634,9757994,9757992,14194617,14194615,19816260,26627271,29678643,26627240,26626805,26626807,22095172,15987021,11098315,9757879,6416040,4025279,2412199,1396180,794294,794291,1396162,2412146,4025176,6415860,9757570,14193925,19815281,23470020,17626974,12447224,12447223,17626970,17886398,17886399,19235677,13742923,9415877,9415876,13742920,19235670,17885366,17885364,24263560,31775879,37890220,47812041,256762662,50506546,40471077,31776378,24264026,24264028,25132222,29442057,22108528,15996995,11105343,7365097,7365095,7365161,7365159,11105440,15997169,22108779,25134018,24246982,17870206,17870207,24246986,31758798,40453420,40453425,38004732,38004731,41758783,41758784,40171674,31486636,31486635,34618026,35337496,33371120,268441568,255177684,32839181,29317671,28997231,28997233,25736356,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484568,11275123,16219542,22375330,29523920,29523918,38087857,43063354,37888914,29320612,28951126,21671224,21118793,21118795,22035466,21991765,15894203,11018358,11018359,15894206,21991770,29320606,25752589,23703114,23703112,31192504,39874367,40280973,31596812,24093277,255198786,30841543,30841542,39445938,37889661,29321537,29321538,29317067,21988708,21988707,29317063,21991710,15894165,15275910,10542213,10542211,15275903,21243042,19459683,19459684,19458117,13925219,13925218,19458108,256694031,37887166,29318564,29318567,28329392,21118778,15171774,15171775,21118780,28329396,21990246,15893137,15893136,21990244,29318906,35344529,35344531,35344534,35344535,30433358,23027113,16784983,11735962,7835356,4973564,4973562,255511911,30433337,39022913,48945895,60342817,60342818,60342819,258188904,60342817,73082607 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8327818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8327818, s2 = 13408450, int(edited[s2]) = 0 s1 = 8327818, s2 = 13408450, d1 = 27, d2 = 16 Dl.O(d1) = 72880803,72880804,86476012,270295302,72880833,72880788,60144376,60144375,60144381,60144391,72880802,72880850,72880851,72880697,72880696,72880675,60144236,269358421,38830179,256987237,60144467,72880613,60144450,48750172,38830169,30246774,22852447,16627410,11598105,11598106,16627413,255943211,22852354,16627345,16627276,16627277,16627342,11598066,7720509,4886617,2944544,1707568,970610,970609,1707564,2944537,4886602,7720480,11598063,16627337,22852345,30246567,22852299,16627297,11598102,7720501,7720500,11598100,255500037,16627283,255943193,16627388,11598089,255117517,255943207 Dl.O(d2) = 257568057,50070352,49196406,39270245,39270244,48749882,60144155,55228135,44377478,256212897,14349853,9859537,9859344,6476498,4058520,4058522,4058552,6476549,9859456,14349624,14349623,20032848,20032858,20032857,20032647,14349572,9859372,6476510,6476509,9859368,14349562,20032635,255727596,19823226,19823225,19823244,19823243,20032643,20032642,25258046,18686681,18686683,25258031,25258030,25904985,20032282,14349219,9859126,6476378,6476379,9859131,14349221,20032287,20032616,14349437,14349438,20032621,26917086,20032940,20032937,20032876,14349641,14349642,14349745,14349744,17926186,12701478,12701477,17926178,256050775,40525860,50562148,62054415,53190476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13408449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13408449, s2 = 8327819, int(edited[s2]) = 0 s1 = 13408449, s2 = 8327819, d1 = 17, d2 = 19 Dl.O(d1) = 48579209,39112889,39112888,40623508,256050774,17979220,12741860,12741861,17979227,24377700,26917364,20032893,20032892,26917359,34998773,34998794,34998801,34998800,44377192,54627388,66884890,67570617,55227712,48579251,38663134,38663133,48579241,38663128,30085875,22704039,22704040,25342561,18762223,18762221,25342557,33072482,34613787,30085888,22704045,22704044,19814335,255727597,14193105,19814264,26624782,34613808,26917285,26917283,26624770,26624769,34613793,43885042,36544421,28076477,28076478,26624904,26624905,34613954,33072435,33072433,42016483,52355687,64205993,52545538,256212896,39018216,39446341,49374821,60776320,53935408,53935409,48749960,48749959,257568056 Dl.O(d2) = 255943206,255117516,19100395,25732935,255943192,25732832,255500036,19100406,13636920,13636921,19100408,21064307,21064306,28267103,33512012,25732884,19100369,13636900,9338024,6116525,3826923,2292695,2292696,3826927,6116532,9338039,13636929,19100372,25732889,25732826,25732825,25732892,33512021,255943210,25732959,19100412,19100411,25732956,33512113,42511648,52921461,64846346,78043238,91969873,78043248,256987236,52921471,269358420,63050473,76033500,89810463,91969901,91969956,91969955,91969942,78043202,78043194,78043192,78043193,91969934,91969948,270295303,71293889,84868081,88328660 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8127457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188023, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1529394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1883799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1883799, s2 = 14163429, int(edited[s2]) = 0 s1 = 1883799, s2 = 14163429, d1 = 0, d2 = 11 Dl.O(d1) = 48767042 Dl.O(d2) = 7727125,7587087,7587086,5966176,5966178,7585258,255100053,16397453,255420144,38507090,46352280,47352565,49127155,47688804,37767543,29943230,29943229,38507088,48413088,59798078,72533402,86132772,100100355,114135132,114135131,100100358,86132774,86132775,77878120,64688495,53409517,53409516,46269523,36416916,268369879,20797324,27958945,36416922,40124057,49374489,60528030,60528031,49127336,49127335,59798077,59798076,72533400,86132769,86132771,86132770,100100354,100100356,259337937,71668434,58946811,47564003,37657884,29108079,255863437,268077791,7213317,7213318,255055999,255863439,37657230,29107463,21808690,15747102,15747103,21808692,29107467,37657189,37657188,47562966,47563311,37657225,29107460,21808687,21808686,19830000,15747035,10906195,7213075,4544740,2732046,1583104,900006,900005,1583102,2732042,4544734,7213068,7213056,4544726,2732036,2732035,4544723,7213051,10906160,15746980,21808522,29107229,37656919,37657109,29107366,21808617,21808576,15747015,10906181,7213065,7213063,7213061,7213062,10906178,15747010,21808569,29107303,37657013,47563098,44070158,34753451,26733394,19898413,14254361,14254362,19898414,14254364,9797586,268044175,19898418,26733405,34753463,44070171,54870533,47563079,37656990,37656991,34753460,26733403,26733402,22769798,16555769,11539630,11539631,16555770,22769799,30157994,38740599,48662023,268413496,57818932,46462923,36596580,28123238,20945624,15037043,254713063,6827599,10364529,15037039,20945617,26165939,19465529,19465526,24640981,24640979,24640971,20823780,20823781,21626193,15595413,15595412,21626185,22722509,17281700,17281701,17803990,20340342,20340340,27276315,24240162,17864519,14915049,10255633,6738932,4222615,4222614,6738953,10255673,14915112,20810952,20345053,14602433,10047848,10047846,14255627,14255626,10045804,6601554,6601550,10045794,14599489,13173540,13173538,14216634,19843988,25616805,19002994,14946393,14946394,13562062,13562063,12643523,8584767,8584766,12643517,8584783,8584782,9119840,9119843,13346614,11913596,7969340,5070760,5070761,7969347,11913607,13327207,12014585,12014583,17100318,18839951,254487526,9561673,7657761,7657759,9067284,11512438,7658299,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,2473944,254476907,4135637,4135639,6601444,10045590,14599185,20341375,17246239,254833359,8159897,12128412,17246246,22702101,18153673,18153674,24601367,32189030,40968731,51111129,55307466,49817602,39796928,31116417,23629971,23629970,31116415,39796924,40199849,31513649,24012994,17665516,17665514,24012988,23554989,23554988,28554232,21328976,21328974,28554223,31747359,31302133,23815522,23815523,21961613,21961614,29287587,37855957,47779465,40363378,37035371,28537137,21314133,15343651,10598349,10598348,15343649,21314129,27966018,27966019,31668874,30207124,256439623,48713589,60108670,65475870,78805959,72845134,72845133,83945932,83945933,81160549,258256112,52683405,42296855,33316291,33316292,39757411,39757412,49776097,46277272,46277271,46745454,37556112,36542923,28075193,20903085,14998415,14998417,20903090,19080296,19080294,21314167,21314166,28537192,22815393,16596718,11575071,7704589,7704588,11575068,16596710,20903068,16497528,11494489,7645098,7645097,11494484,15343661,10598356,6992114,6992113,268070071,21314139,268440024,8754448,8754450,12873043,18153680,24601374,18153684,18153685,24601380,255799414,28981297,255724178,10840310,7166385,7166386,10840313,254798193,7718953,11595576,7719054,6996424,6996425,10603923,13680119,9368203,254937789,19157963,25804776,33602082,32606708,24942982,24942981,30909250,30909251,31112464,39792975,49813552,40388760,31696049,31696050,37377756,28837483,21565895,21565896,256336981,256878439,58678523,258659198,62835078,62835079,75799271,89581742,89581743,84103552,70567076,59116633,47719218,256287378,21918163,15834349,15834350,21918164,268233074,37798554,47719217,59116631,71854461,85439193,99379898,113380213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1883799, s2 = 14163429, dlinesl.size( ) = 2 s1 = 1883799, s2 = 14163429, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1883799, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 1529863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2560998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8081783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8081831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8081831, s2 = 13361784, int(edited[s2]) = 0 s1 = 8081831, s2 = 13361784, d1 = 18, d2 = 44 Dl.O(d1) = 18935494,18935495,18971974,16650311,16650312,22878735,25547829,18935180,16650647,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271163,17412214,19174028,25825340,31393784,23900040,23900039,23905579,23896465,17550782,12380431,12380430,17550779,23896462,30276966,38861515 Dl.O(d2) = 29212218,29212219,37774142,256103318,32120762,24542830,24542831,32120763,40894873,38049473,29486039,29486040,38049477,33841888,26022174,26022175,30264383,38848164,47822882,39947492,31272641,23787022,23787021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8081831, s2 = 13361784, dlinesl.size( ) = 2 s1 = 8081831, s2 = 13361784, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8081831, Dl.E( ) = 48, 3.7e-05 seconds used appending s1 = 1530692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8249739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9355059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9355059, s2 = 5831782, int(edited[s2]) = 0 s1 = 9355059, s2 = 5831782, d1 = 136, d2 = 104 Dl.O(d1) = 60800624,49399899,39471420,30867983,23439633,17165779,12069522,12069523,17165781,17616466,23966652,31211282,31211281,39889350,49909702,48796240,38873927,30288178,268540050,38873320,33445186,254683716,13601479,13601480,19053077,255733248,25674596,33445187,257217365,48683547 Dl.O(d2) = 235423969,264895456,230800521,229302744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9355059, s2 = 5831782, dlinesl.size( ) = 44 s1 = 10166073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1531865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1531865, s2 = 61653, int(edited[s2]) = 0 s1 = 1531865, s2 = 61653, d1 = 12, d2 = 1 Dl.O(d1) = 38885496 Dl.O(d2) = 1250106,1250105,1282890,1283377,1283374,2210713,3692504,5908717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1531865, s2 = 61653, dlinesl.size( ) = 28 s1 = 8398568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8082289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14536877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14536877, s2 = 8021808, int(edited[s2]) = 0 s1 = 14536877, s2 = 8021808, d1 = 52, d2 = 67 Dl.O(d1) = 257576194 Dl.O(d2) = 255951781,255803372,16629624,11599839,7721806,4887618,4887619,7721809,11599850,255507707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2585519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9355022, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9399286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6447683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6558830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1534892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655936, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9547743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657818, s2 = 4562126, int(edited[s2]) = 0 s1 = 11657818, s2 = 4562126, d1 = 0, d2 = 0 Dl.O(d1) = 46908448,46908450,38860336,30275696,22878411,16650014,11617888,11617889,16649944,22878326,21778823,21778822,29076727,37627491,37383550,28843679,28843680,37383552,47292724,58683644,71417136,84990825,98916103,98916104,112904006,126756807,140106030,152799035,164636569,175397947,184946546,186437836,273370024,154796006,142161899,128807156,114910037,100859537,86879102,73267190,60522212,49121094,39193271,30596107,30596108,33244373,25493980,25493978,25493979,33244371,33244374,25493982,25493981,18889322,13461160,9205485,254923537,12406787,12117119,8148058,5411954,3326801,3326800,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423379,5023439,5023438,5408145,8380184,12400098,11244254,7463732,254774493,268112890,17564333,17564332,21247252,21247253,255819936,12407956,12407957,254927185,6059399,9251912,13519996,18956364,24260910,25561177,18948730,18947487,13510714,13510716,17396420,267823706,9249351,9249352,13517018,255026728,23436420,17555267,12384701,12384702,17555271,17703257,17703258,24058161,24891157,24891155,23900168,23900169,30576932,23160148,16898922,12264266,12264267,17380705,23703353,30165320,23723924,23723922,31209999,31401644,25494466,18889804,254923579,6026918,3770494,2259162,1311247,1311248,1311228,1311227,2259103,3770397,6026761,9205486,13461161,18889323,25493984,256647319,42205919,52566413,64441637,259035513,86426773,72831774,60094499,48698430,38776122,38776123,30192233,22801997,16584824,16584823,22801995,23006771,23006782,23006783,30411866,39001189,258187459,86669871,100643237,114688609,128585908,141946857,154590972,166311272,273367039,263584157,201463639,207357850,212218418,216189886,274282797,223675896,221167044,218237385,214750365,214750366,264411191,199063137,191658360,183047741,183047740,191658357,183047739,273048515,259132244,94356714,80300177,66870816,54612989,43870511,34600255,34600256,43870513,54612990,66870817,80300178,94356717,108644718,95630676,81597429,68108263,55711446,44804629,35380050,30860393,23437582,23437581,255389549,15268438,10556687,10556685,15263931,10531719,10531720,9260830,9260829,13530368,15273804,15258099,10540260,10540259,15273627,17162996,12066685,8113943,8113941,12066682,15278720,13523024,9254488,6947121,6947120,10534127,8362145,5397419,5397420,8362146,8362168,8362169,12374696,17380733,17162519,15306088,13501593,12063550,268068407,10527101,15258405,17160287,17556826,14482061,9963958,9963955,13593395,13593393,10538043,10538044,13526391,9257375,6063003 Dl.O(d2) = 46908448,46908450,38860336,30275696,22878411,16650014,11617888,11617889,16649944,22878326,21778823,21778822,29076727,37627491,37383550,28843679,28843680,37383552,47292724,58683644,71417136,84990825,98916103,98916104,112904006,126756807,140106030,152799035,164636569,175397947,184946546,186437836,273370024,154796006,142161899,128807156,114910037,100859537,86879102,73267190,60522212,49121094,39193271,30596107,30596108,33244373,25493980,25493978,25493979,33244371,33244374,25493982,25493981,18889322,13461160,9205485,254923537,12406787,12117119,8148058,5411954,3326801,3326800,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423379,5023439,5023438,5408145,8380184,12400098,11244254,7463732,254774493,268112890,17564333,17564332,21247252,21247253,255819936,12407956,12407957,254927185,6059399,9251912,13519996,18956364,24260910,25561177,18948730,18947487,13510714,13510716,17396420,267823706,9249351,9249352,13517018,255026728,23436420,17555267,12384701,12384702,17555271,17703257,17703258,24058161,24891157,24891155,23900168,23900169,30576932,23160148,16898922,12264266,12264267,17380705,23703353,30165320,23723924,23723922,31209999,31401644,25494466,18889804,254923579,6026918,3770494,2259162,1311247,1311248,1311228,1311227,2259103,3770397,6026761,9205486,13461161,18889323,25493984,256647319,42205919,52566413,64441637,259035513,86426773,72831774,60094499,48698430,38776122,38776123,30192233,22801997,16584824,16584823,22801995,23006771,23006782,23006783,30411866,39001189,258187459,86669871,100643237,114688609,128585908,141946857,154590972,166311272,273367039,263584157,201463639,207357850,212218418,216189886,274282797,223675896,221167044,218237385,214750365,214750366,264411191,199063137,191658360,183047741,183047740,191658357,183047739,273048515,259132244,94356714,80300177,66870816,54612989,43870511,34600255,34600256,43870513,54612990,66870817,80300178,94356717,108644718,95630676,81597429,68108263,55711446,44804629,35380050,30860393,23437582,23437581,255389549,15268438,10556687,10556685,15263931,10531719,10531720,9260830,9260829,13530368,15273804,15258099,10540260,10540259,15273627,17162996,12066685,8113943,8113941,12066682,15278720,13523024,9254488,6947121,6947120,10534127,8362145,5397419,5397420,8362146,8362168,8362169,12374696,17380733,17162519,15306088,13501593,12063550,268068407,10527101,15258405,17160287,17556826,14482061,9963958,9963955,13593395,13593393,10538043,10538044,13526391,9257375,6063003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657818, s2 = 4562126, dlinesl.size( ) = 2 s1 = 11657818, s2 = 4562126, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657818, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 710968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6435590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1458069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1458069, s2 = 969818, int(edited[s2]) = 0 s1 = 1458069, s2 = 969818, d1 = 45, d2 = 142 Dl.O(d1) = 37504658,37504659,47412193 Dl.O(d2) = 15433784,15433785,21425909,21431781,21431782,28681021,21437025,21437024,28681019,255403739,15438079,15438078,21431774,28681014,24537227,18103959,12836762,12836761,18103961,24537230,18103965,12836766,12836763,8729072,8729071,12836769,18103970,24537236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1458069, s2 = 969818, dlinesl.size( ) = 2 s1 = 1458069, s2 = 969818, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1458069, Dl.E( ) = 166, 6.1e-05 seconds used appending s1 = 1894303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1540135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1540135, s2 = 10203041, int(edited[s2]) = 0 s1 = 1540135, s2 = 10203041, d1 = 8, d2 = 8 Dl.O(d1) = 268971626,51091290,40947893,32168200,24582372,18138880,18138879,24582369,255930632,20240189,22053962,15950345,11069034,11069031,15950308,15950304,22053887,29383966,23704295,17381568,17381545,12248393,12248392,17381591,19266673,16826328,11766320,7855652,7855649,11766306,255514547,30492066,39088840,49018642,60422541,73169252,86781853,100762595,100762596,271362699,123558911,109367668,95113652,85051036,71479620,58750888,47364921,37459465,28920009,21644670,15611956,10801270,7136797,7136798,4493166,2699463,1563810,888994,501579,501578,888992,1563807,2699457,4491177,2698324,1563168,1563169,2698328,4491174,2698322,2698321,4491172,7133483,7138104,7138103,10802947,15613877,10936165,254579001,5239927,8170907,12141522,12155428,8185787,8185784,12155423,11310558,7684830,7684829,255112561 Dl.O(d2) = 268971626,51091290,40947893,32168200,24582372,18138880,18138879,24582369,255930632,20240189,22053962,15950345,11069034,11069031,15950308,15950304,22053887,29383966,23704295,17381568,17381545,12248393,12248392,17381591,19266673,16826328,11766320,7855652,7855649,11766306,255514547,30492066,39088840,49018642,60422541,73169252,86781853,100762595,100762596,271362699,123558911,109367668,95113652,85051036,71479620,58750888,47364921,37459465,28920009,21644670,15611956,10801270,7136797,7136798,4493166,2699463,1563810,888994,501579,501578,888992,1563807,2699457,4491177,2698324,1563168,1563169,2698328,4491174,2698322,2698321,4491172,7133483,7138104,7138103,10802947,15613877,10936165,254579001,5239927,8170907,12141522,12155428,8185787,8185784,12155423,11310558,7684830,7684829,255112561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1540135, s2 = 10203041, dlinesl.size( ) = 2 s1 = 1540135, s2 = 10203041, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1540135, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 10355919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355919, s2 = 1543574, int(edited[s2]) = 0 s1 = 10355919, s2 = 1543574, d1 = 64, d2 = 7 Dl.O(d1) = 164658617,175416968,175416908 Dl.O(d2) = 39156784 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656768, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2510351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2510351, s2 = 8421576, int(edited[s2]) = 0 s1 = 2510351, s2 = 8421576, d1 = 71, d2 = 56 Dl.O(d1) = 71465125,257770400,39182987,30585241,30585240,29050697,23118792,23118793,25640844,25640843,30537503 Dl.O(d2) = 255831092,13782944,13782943,19279956,17991747,12752347,12752346,15430680,258055655,84754230,98681487,260527341,139901691,260527338,260791246,112675885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2510351, s2 = 8421576, dlinesl.size( ) = 12 s1 = 8221233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1901208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13365605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13365605, s2 = 673682, int(edited[s2]) = 0 s1 = 13365605, s2 = 673682, d1 = 8, d2 = 81 Dl.O(d1) = 31824435,31824436,40521432,37261394,28729320,28729319,37261391,40521383,31824397,24307478,24307479,31824403,257106289,60771486,49368907,49368909,60043665,58179423,46812184,36933860,28435080,21210697,21210698,24307537,17923212,17923211,24307534,31824501 Dl.O(d2) = 28038728,20870778,14968424,10300608,6773027,4245256,4245255,6773026,8129164,8129165,12088379,17191471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13365605, s2 = 673682, dlinesl.size( ) = 2 s1 = 13365605, s2 = 673682, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13365605, Dl.E( ) = 84, 3.6e-05 seconds used appending s1 = 10339775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339775, s2 = 8411341, int(edited[s2]) = 0 s1 = 10339775, s2 = 8411341, d1 = 21, d2 = 31 Dl.O(d1) = 254446147,1314104,254113377,426327,750074,1314109,2265298,2265314,3781501,6043560,9227596,13487180,18918650,25528384,28415749,256304955,25527975,25527976,25528230,25528231,33288412,33288415,36913441,33288730,25528229,256133519,42268669,52654644,42268673,42268672,42269100,36913442,28735156,21477939,15475521,10701776,7070284 Dl.O(d2) = 259992666,99784818 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163500, s2 = 2257847, int(edited[s2]) = 0 s1 = 14163500, s2 = 2257847, d1 = 6, d2 = 5 Dl.O(d1) = 274135,274132,487678,864198,1524089,2638782,4402648,7004359,8631388,5612744,5612745,3486250,2070330,1188924,668048,668049,267774555,3486254,2070344,1188934,668054,370647,202898,110652,110649,202894,254108691,1188905,2070303,3486194,5612642,3539938,3539939,5690383,8740763,12853541,18126879,14190746,9755145,6414141,6414142,9755148,14190752,11101558,7362201,4650387,4650386,7362199,11101555,15991857,22101990,29434465,34610160,26621424,19811349,14190706,9755117,6414120,6414119,9755114,14190702,19811345,26621415,34610152,257286579,66881300,80310461,94366618,108654329,99758141,85804150,72209865,59472153,48081495,48081496,58776392,258076649,71505722,58776360,47389176,37481554,28939516,21660609,15624416,15624417,21660610,21660611,21660629,21660628,28939543,37481564,37481572,28939530,21660616,15624421,15624420,21660615,28939528,28939539,28939540,37481588,256344091,21660619,15624422,15624423,21660620,28939534,37481580,47389199,58776384,258208363,71505742,73364322,60619706,60619702,49219040,49219041,49219067,49219068,60619727,73364342,259455439,270294702,78325729,65045713,53062664,53062665,60619713,73364330,74521207,65045714,258436621,60794771,49394091,39465572,39465573,49394093,60794772,73541973,87160393,101158393,89929944,76124286,63119102,63119103,76124288,89929946,102121053,88133337,87160389,87160390,100959929,101158403,260030476,128916398,115014270,259413446,73364327,73364325,85607468,77385048,77385049,77385046,64234723,52379305,42035768,42035767,52379303,60794736,60794738,60794739,59281884,47885433,47885432,59281881,47885430,47885431,47885426,37967034,29403060,29403061,23431023,17154413,255537317,30861358,39465562,49394074,60794741,72018921,59281935,59281934,72018872,256486658,37967070,37967071,37967041,29403064,22072665,22072666,22072664,15967628,15967627,22072662,23431021,30861356,39465560,36959584,36959583,46838705,256511256,59281862,47885416,37967029,37967030,47885417,59281863,72018859,72018904,74846332,62047978,257612722,59281888,59281889,59756574,59756573,72490608,72490609,59756596,48374165,48374164,59756595,72490637,72490640,72490604,59756562,269815953,62047981,59756557,59756556,72490599,259396419,257538367,38472548,29914282,29914281,38472528,29914273,29914272,38472525,48374144,59756568,59756544,59756542,72490588,59756570,59756569,72490594,59756547,59756546,72490591,61439237,61439238,74218641,73541959,73541960,86087854,72490639,72490630,59756587,48374159,48374158,38472541,29914279,22556719,16378886,16378887,22556722,29914286,38472552,48374180,48374150,48374151,59756579,72490619,72671200,59931457,59931458,59756551,48374133,48374132,59756549,49961212,39944281,31269491,31269490,39944278,49961207,61439235,72490622,70343571,70343569,65945269,59281913,47885460,43352761,39235427,30637478,30637479,39235430,43352721,43352720,52866335,44519737,35143368,27058094,27058096,35143372,37481579,30912855,23476298,23476299,30912860,39523186,49456599,58143181,268928540,269791786,257995883,52507339,42149684,42149683,52507336,53877702,53877708,44789911,44789912,53127722,52866330,42462497,36455350,36455349,46308240,57652972,64783263,64783264,73609029,60859279 Dl.O(d2) = 39523176,39523177,49456591,52866342,64380863,70779074,58061234,58061235,52866306,52866305,42462489,33469198,25696287,25696288,33469203,33469238,40241602,31555555,24051216,24051217,31555558,269000975,42174987,40241642,40241641,50261076,50827983,40724059,40724058,40241596,31555551,31555550,31555606,40241637,42462484,33469196,31555580,24051242,17697439,17697438,19070934,13614933,9322654,9322655,12517159,8479956,5481418,3373031,3373030,5481415,5481325,5481326,3373099,2297904,2297903,3835616,3372955,1984835,1984834,3372950,5481278,8479768,5481398,3373019,3373020,5481400,8479814,268001903,12516948,8480092,5481499,3373083,3373082,1984912,1133895,636164,353226,193584,193585,254106585,1133897,1984926,3373114,5481539,8480145,8337802,5381535,3309255,1946806,1946805,3309249,5381530,8337791,12341557,12341535,12341534,17502732,23843708,31335601,31335600,31335726,28365026,268151418,17502854,12341621,8337841,8337842,12341624,17502787,23843760,17502884,12341655,8337858,8337857,8337881,8337811,8337808,12341580,17502788,23843763,31335752,23844034,23844033,30638087,30638086,31335619,31335990,23844062,17503052,12341785,8337935,5381610,3309292,3309291,5381606,8337928,12341773,11858110,7924976,5037873,3050078,3050079,5037805,5037806,7924878,5037835,5037834,7924921,11858022,16943061,16943281,16942020,16942021,11857986,11857988,11858207,11858206,14967861,15195423,21148951,23214962,23214960,16943389,11858273,7925083,5037935,5037936,7924951,5037896,5037897,7925024,11858178,11857621,11857619,15621439,11857634,7924651,7924653,11857636,16942507,16942001,11857253,7924393,7924394,11857256,16942005,255969533,39234564,49161214,60561004,73304823,259450793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163500, s2 = 2257847, dlinesl.size( ) = 2 s1 = 14163500, s2 = 2257847, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163500, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9685470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9685470, s2 = 16266916, int(edited[s2]) = 0 s1 = 9685470, s2 = 16266916, d1 = 7, d2 = 5 Dl.O(d1) = 59434421,72172992,85767286,99721406,113736068,127604998,140954571,153621126,165401293,176082252,185545378,193804816,200888075,206866570,211806439,215841621,219178834,221996082,265561425,226526984,226526985,228355834,229961033,231385415,266228911,234866059,235822627,236693431,237486852,238207074,238863211,239466218,239481632,238880493,266668753,236716537,235848046,234894334,233847328,232697565,231425305,230004982,228403466,226579949,224486721,222077858,219273796,215953983,211945008,207037560,263909349,176350321,165683191,261734195,127875776,113997265,99973549,86014163,72417905,59683118,48296789,38386494,29813901,22446244,16276871,11318217,7515253,7515252,11318216,16276857,22446223,22446416,16277013,16277012,22446414,29814122,256953353,39095353,39095354,38386690,38386689,48297030,58291473,46925553,37047392,30499440,23085963,16832844,11771302,7859047,7859048,11771306,16379298,16276813,16078992,15352214,11166563,7408154,7408152,7408005,4680937,2820339,1636255,1636257,2820342,4680946,7408021,11166371,16078948,16078967,11166324,7407992,7407993,11165973,16078532,11167209,11167210,16078496,11165933,7408129,4681016,4681017,7408133,7407678,4680736,4680735,7407675,7408612,4681279,4681278,7408397,7407948,4680905,4680904,4680734,2820226,1636195,1636196,2820228,4680738,2820230,2820231,2820243,4680770,7407725,11165935,7408094,7408093,11166462,16079138,22209795,29554626,33469176,256389939,22209819,16079154,11166473,11166472,12517375,12517376 Dl.O(d2) = 24051675,31556065,40242078,50032711,50032712,49163268,49163267,60563031,73305611,60561832,49162027,39235350,39235351,49162030,60561834,58114254,46744615,36863307,28365014,21148962,15195432,10481122,10481121,15195430,21148961,21074340,21074339,28278624,23214914,16942885,11857893,7924830,7924831,255138123,16943621,16943622,22855990,16630312,11600350,7722169,7722168,10481119,10481120,15195428,15195424,15195425,21148953,23215984,16943797,11858602,7925353,7925352,11858598,16943794,20189359,20189358,22687131,22210523,22210524,29555328,38120488,48033682,59426037,72164903,72164940,59426079,59426080,72164941,85759425,99713508,98926078,85001296,71428258,58695512,58695514,58695521,58695520,50181193,50181192,61666404,70552865,59425535,59425503,59425504,72164491,85759146,72200530,59463023,257618676,256492098,22244573,22244575,24117456,22244593,16107738,11188494,7423769,7423768,11188492,16107731,16107655,16107656,20347705,14604756,14604755,13308864,9090167,9090168,13308868,12339003,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,3461080,3461079,5578403,4137987,4137984,6605986,10053491,14610653,20354499,27289222,35413870,44838964,44838963,55746696,68144537,68144536,81634665,95668116,91198113,91198112,91198114,105420847,119658317,133532308,146790513,159165740,170507519,180643061,189544896,197236209,203796927,207973648,202186132,195302486,187252238,178006138,262353801,143382300,130050957,116141722,102084019,88097134,74484891,61701957,50220254,256535175,24012098,17664861,254862677,8460490,8460494,5466583,3361482,1976261,1976260,3361480,5466579,8460486,12491465,17664854,24012089,31512458,39839526,31156799,31156798,35365371,35365378,35365379,40198240,36792948,28296037,21088665,15148205,15148206,21088667,20340866,14598721,14598722,20340871,27008366,23147490,16886947,11815913,7893995,7893996,11815917,16886957,23147509,30564816,39162436,33178364,25434729,25434730,31512379,40198150,31512328,24011999,17664810,17664811,24012002,31512332,31512451,31512448,31512447,34213988,34213989,40198257,31512421,24012059,24012058,31512417,40198142,269000051,46348450,257590791,39162435,35403066,27276728,27276729,30564758,23147471,23147472,30564761,24012076,17664848,12491461,8460482,8460481,12491457,17664838,24012056,31512413,39162408,30564787,268240909,16886948,23147492,25434882,33178534,33178372,25434733,25434732,25434891,25434890,33178547,40198238,31512398,24012044,17664833,17664832,23147480,30564768,38160892,38160893,33183377,25438255,25434929,18839703,18839704,25434868,255663158,18839681,18839661,15488432,15488433,21494616,20861225,20861224,28028483,36490834,46348509,46763644,47196222,42136231,42136232,52493115,64365885,256409582,52493204,58587528,57697687,46348516,46348514,46763667,46763666,46763664,36885258,28388572,28388571,36885256,46763661,58131461,64365939,77533752,257213384,71320941,268947116,58131431,70391552,64365936,64365935,70845727,58131433,46763636,36885232,255093644,58131435,70845728,84403069,98312713,84403118,74538390,70845815,58131528,58131498,46763698,36885288,28388587,28388586,36885286,36490788,28028447,28028448,36490790,46348475,52493186,52493187,64365934,70845792,268227076,48163413,58599879,58599878,71332119,60118091,60118092,72855049,60118100,60118099,72284284,72284283,72284182,72284184,85876315,84403129,70845821,70845820,70845774,70845775,77533772,64365954,52493216,42136354,33178627,33178625,42136350,52493210,64365950,61997030,60045526,48648944,48163446,38254232,29689048,22336427,22336428,29689051,38254239,48163400,38254203,29689025,29689026,38254207,48163406,53912718,53912719,50505446,40469812,31774989,24262677,24262678,255591912,50505457,58636431,47242710,47242709,58636429,71373368,78448484,85876301,72284166,59549891,256943059,38254164,39368515,39368512,39368513,32837126,32837127,41757982,52071535,49295979,49295980,60697389,53811678,43286574,34189538,33701555,33701556,42646655,33619065,33619066,42646657,53097272,57725474,46375169,37888988,37888989,43061372,42731998,33702413,33702414,42424188,42424186,52828350,53494295,43015981,43015980,43024000,53503535,59208708,63306210,59320014,47927474,38013171,38013172,47927477,256058870,32517664,41365079,51587153,63306207,256763764,81623211,81623210,70999603,58284373,46918476,268395096,55735474,68133381,76330667,70971401,58255995,58255994,70971400,63306195,51587144,41365071,41365072,51587147,63306198,70971447,70971448,72054550,59320028,47927489,38013176,38013175,47927485,59320024,48965819,48965818,60361029,255870224,37040510,37040509,255870222,67799317,81267131,84563584,70999653,70999654,72054553,73537561,73537560,87155827,269490388,70971392,257082620,46889100,256763748,68133379,68133384,55735479,55735480,68133386,74772832,84563565,70999623,70999622,70999618,70999619,70481768,57781616,57781618,67799309,55457653,44609239,44609238,268343170,37040501,37040503,46918494,58284393,70971384,58255979,58255978,70971383,84533897,74772834,70481699,57781548,57781547,58255981,257931082,88402301,74769938,61972574,50479840,50479841,61972575,73217889,60471225,60471227,57781460,46426504,46426505,57781463,57781452,57781451,64712245,64712246,70481753,70481754,84015587,72855946,60119019,60119018,60119020,48723957,48723959,60119023,72855951,259421999,92353377,92353378,91486720,87017663,73402859,60656611,60656612,73402861,87017667,86051927,258073354,49909204,39888805,39888804,49909201,61389389,60505629,60505628,49357836,49357835,60761157,60505634,60505633,52514058,42156066,42156065,49357897,49357896,60761230,257198963,33196629,25450493,25450492,33196627,42156067,52514061,60761241,60761240,73252619,73252618,86865553,258904474,64582713,64582714,71822809,59081811,47681889,256363229,256363231,47681893,59081820,71822821,85411200,99354285,90557189,90557188,104729012,104729009,90557186,90557185,85411180,85411181,99354268,113355916,100921916,258453456,77765978,91693632,85411190,71822806,71822807,85411192,91693578,91693577,91693509,77765825,64582746,64582747,64582830,64582829,64582868,64582869,77765963,91693580,91693581,92750889,78687528,77765954,77765955,91693614,86939563,258216712,77765898,64582816,52682280,52682279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9685470, s2 = 16266916, dlinesl.size( ) = 2 s1 = 9685470, s2 = 16266916, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9685470, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 13435239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15915556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1582867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6574759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574759, s2 = 13871496, int(edited[s2]) = 0 s1 = 6574759, s2 = 13871496, d1 = 20, d2 = 22 Dl.O(d1) = 133774393,133774392,119905693,119905692,105669930,91446509,77516773,73317030,256125928,39250517,30654617,23233033,23233032,256472223,257597205,73317029,86926508,100906692,114959122 Dl.O(d2) = 264539511,216281813,219561567,222331942,219561565,219561564,222331943,224710675,226776040,228577522,230161299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6574759, s2 = 13871496, dlinesl.size( ) = 2 s1 = 6574759, s2 = 13871496, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6574759, Dl.E( ) = 24, 5.96e-06 seconds used appending s1 = 2120108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6705474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1806604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1806604, s2 = 13917148, int(edited[s2]) = 0 s1 = 1806604, s2 = 13917148, d1 = 10, d2 = 97 Dl.O(d1) = 47351547 Dl.O(d2) = 239774424,239194280,239194273,239194275,239774419,240309926,240806700,266908918,242087305,242450591,242787677,267004756,241267114,241267113,241693447,241267101,266802652,266673600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1806604, s2 = 13917148, dlinesl.size( ) = 2 s1 = 1806604, s2 = 13917148, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1806604, Dl.E( ) = 116, 5.82e-05 seconds used appending s1 = 6428830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6428830, s2 = 11166302, int(edited[s2]) = 0 s1 = 6428830, s2 = 11166302, d1 = 36, d2 = 29 Dl.O(d1) = 254254274 Dl.O(d2) = 66953354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6428830, s2 = 11166302, dlinesl.size( ) = 20 s1 = 137988, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10230172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6711305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8196547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8196547, s2 = 8253031, int(edited[s2]) = 0 s1 = 8196547, s2 = 8253031, d1 = 0, d2 = 37 Dl.O(d1) = 11940497,17025605 Dl.O(d2) = 270355833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2602286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1552232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1552232, s2 = 11452702, int(edited[s2]) = 0 s1 = 1552232, s2 = 11452702, d1 = 0, d2 = 14 Dl.O(d1) = 39309005 Dl.O(d2) = 224421927,265198295,274098774,263896947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1552232, s2 = 11452702, dlinesl.size( ) = 32 s1 = 9378607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9066368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1307215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1553162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1553164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1553164, s2 = 14766265, int(edited[s2]) = 0 s1 = 1553164, s2 = 14766265, d1 = 6, d2 = 54 Dl.O(d1) = 39324731 Dl.O(d2) = 228725271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1553164, s2 = 14766265, dlinesl.size( ) = 8 s1 = 13240859, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10181417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9502509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9502509, s2 = 14163525, int(edited[s2]) = 0 s1 = 9502509, s2 = 14163525, d1 = 0, d2 = 3 Dl.O(d1) = 90448549,90448550,104610786,118788690,259697166,101011692,258439910,60659235,73404660,87019083,73404646,257603961 Dl.O(d2) = 39334257,30736384,23316887,23316886,30736382,257023621,49259676,39334257,30736385,23316887,255143749,8007886,255143751,23316888,30736386,39334258,36797876,36797877,257414769,256835475,36797879,39099231,30503373,23089324,16835322,16835323,23089327,30503378,39099237,49027959,60431494,60431482,60431481,70775113,70775114,70775127,58057305,46683367,36797898,36797899,28300631,256835477,58057318,258649553,73178261,73178260,258700614,114823652,128723801,131503497,258700616,98240728,98240729,100771535,103562259,89463951,89463952,86790694,73178268,73178269,86790696,100771542,89463902,75698879,62751826,62751827,75698881,89463905,75698897,62751838,51120590,40978363,40978364,51120592,51120595,40978382,40978381,40978339,40978340,51120558,51120593,256582717,32198330,24609898,18161185,18161184,24609896,32198325,40978343,51120562,62751808,62751840,62751865,62751864,75698923,89463954,81110518,81110517,95168922,84333709,70775137,70775136,270282343,70775140,84333711,259895583,103562250,103562249,112218904,112218908,112218906,103562232,103562233,109425254,123619236,117697370,103562243,89463938,75698912,62751855,62751856,75698914,89463945,260197765,272184077,117697378,103562256,89463950,75698918,75698917,89463947,260197767,261204972,98768533,84841447,84841446,84841450,71267394,71267376,71267358,58535654,58535653,71267357,84841403,98768487,84841417,84841416,84841425,71267373,58535662,47147332,47147330,58535657,71267363,84841411,98768497,98768538,106749439,121002142,126613996,126613997,131844884,129627480,115731819,115731818,106749437,106749436,106749442,118019009,118019008,121002128,106749420,106749421,121002129,126614020,131844882,145103097,145103095,131844877,118018888,106749425,106749424,118019002,106749430,106749431,103876282,103876280,258967888,118018997,118018996,125579039,131844925,118018994,103876267,103876260,103876258,259594856,92415705,78378273,65094324,65094323,63013808,63013809,75997197,259594865,103876247,89774704,89774705,103876248,89774721,75997209,63013818,63013813,51332928,51332929,63013814,63013804,63013803,270466517,103876243,89774707,89774706,77977264,64782920,64782919,77977263,91901741,89774719,75997208,63013817,51332931,41147667,32332542,32332543,41147669,41147659,32332537,24716355,18243287,18243288,24716357,32332539,41147663,41147654,32332532,32332533,269041211,63013799,258967899,65094301,53107427,42655554,33626688,25824898,19173645,19173644,25824896,25824901,25824900,33626692,257229883,42655567,33626694,33626693,39142094,30543453,23124879,16864946,16864945,23124878,30543451,39142092,49072259,49377790,49377791,59624862,48237785,38327875,29758113,22397188,22397187,256406315,48237783,59624860,59624856,59624857,72359620,72359621,85955026,99913033,113936383,127816951,127816948,127816949,141179739,147863415,134742630,120946384,106694196,92390002,258433370,78356280,65076135,65076134,257224440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9502509, s2 = 14163525, dlinesl.size( ) = 2 s1 = 9502509, s2 = 14163525, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9502509, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 6496229, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13450589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13450589, s2 = 10175895, int(edited[s2]) = 0 s1 = 13450589, s2 = 10175895, d1 = 100, d2 = 103 Dl.O(d1) = 58372362,71080392,71080391,75034862,84651167,71088631,257105350,98516902,258055942,58372410,58372409,70990422,58276064,58276065,58364231,256319780,28600313,28600314,256859315,58364234,270289259,98565512,88467682,74834524,62037875,62037876,74834528,88467686,98565559,84642821,84642820,98565557,112558624,112567867,112567866,126427394,126427382,126427381,112558654,98574279,84651257,257886594,98574287,269888636,258297696,102472076,88468873,88468874,102472078,116570524,130409873,116570563,258920624,143105539,260757104,156261786,271422570,130408772,116569362,102470880,88467656,88467657,102470885,116569365,102472113,102472111,258920628,116570549,102472105,88468886,74835746,74835745,88468884,102472099,116570543,130408785,116569375,102470894,269888634,130408783,143734364,143735414,143735413,132651447,130408810,116569396,102470906,88467672,74834514,62037865,62037864,74834512,88467666 Dl.O(d2) = 39392891,256837028,258026342,58095246,60723024,49320729,39392622,30790273,255254394,17095429,23364457,30790204,255980627,23364384,17095370,17095371,23364386,30790191,30790203,39392790,39392727,39392728,30790628,30790629,255200194,28439731,30790084,39392560,30790011,30790012,23364302,17095304,12008616,8065809,8065810,12008626,8065842,5159588,5159587,8065901,12008797,17095600,23364732,30790679 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656436, s2 = 8156750, int(edited[s2]) = 0 s1 = 11656436, s2 = 8156750, d1 = 11, d2 = 11 Dl.O(d1) = 211435236,215523991,264863990,222367942,264543788,39362203,30761046,23338165,257400392,1818420,3111803,5121887,8032536,11983430,12016551,8075594,8027431,5116506,5116505,3128299,3128298,5130618,8029560,5118627,5118629,5142372,4360955,3117042,3117043,5128382,8038179,11983738,8038235,8038236,11987222,11980576,11980575,11998697,8051518,5142168,3127977,3127975,5142163,8051513,11997232,8051381,5142046,5142045,8051379,8064055,8158847,12127238,16186412,11251313,7468751,7468750,11251310,12003817,8069282,5163715,5121087,5121088,267900472,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840208,1840187,1840188,3104629,3104628,5112379,5227524,3189306,3122227,3122228,3105352,1814495,1814493,1822043,1866544,1815341,1036584,1036581,254255913,3122316,1825220,1041852,586627,327617,180722,99289,99285,180673,180648,180643,327440,329747,182066,99894,99897,182083,330619,593030,1054655,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,8057303,5158920,5158923,5168982,4680100,2819692,1635837,1635834,1809598,3097092,1834387,1046819,589056,328697,181198,181199,328701,589065,1046847,1834445,3137391,5153498,8061092,8079741,5175101,5175102,5120242,267902221,3142316,3142315,5158854,5127927,5123331,3112846,3112845,3153326,1845118,1052933,1052919,1052921,947118,947120,1664820,2868486,3129576,1829524,1044186,1044185,1811689,1034631,582966,582967,1034635,1186664,1186663,2067302,3482544,3101560,1812171,1812170,3101558,5108338,8019686,11974134,254821999,7523905,7523906,8014139,11970178,8048824,5139113,5139112,7529602,5131037,5131036,254817966,1822775,3118811,5130580,8040223,254564068,3106011,1814900,1036335,583847,583846,1036363,1814956,3106116,5110068,3106593,3106594,3129992,4761032,2869843,1665540,1665538,1825776,3123594,5136873,5170134,5066967,5066969,3100027,1844378,1052455,591831,591827,1052441,1844345,1837664,1837661,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8081758,7975221,7975220,11920915,12013842,12019387,12019388,17067298,11977460,8024559,7975881,7975882,8024699,5113866,5113867,8024702,11329759,11990532,8042722,5133217,5133218,8042727,5144217,5144216,8053337,8076353,5171472,5171471,8076351,11988526,12019902,8079170,8079171,11972804,11978738,8054299,5145202,3130400,3130399,5145201,8054295,11329633,11325959,7528040,4761286,2870005,2870006,4761289,3152783,3152784,5170792,7117180,7117181,10771724,15572540,17036995,22186793,22455916,21707097,15665207,15572973,10772175,10772174,8030762,8030763,11982106,15665568,21707412,258704709,271313799,50387960,61877565,74669467,88294758,91680316,258390666,64571154,52671208,42285021,42285020,40545380,254947536,26055402,26055399,19374525,13858841,13858840,268769615,52701202,42314092,33333728,33307934,25546366,18933686,13498214,12434964,8404136,8404135,12434962,17616947,13497786,13497787,17559231,12388384,12388380,10565038,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1315840,750962,750960,254205355,3786348,6050826,255670509,33313176,42293385,34682172,26687938,19868905,19868904,15648657,15648656,21687718,256309905,28475325,21270299,21270302,255267755,9247682,6056502,6056503,6936111,4358528,2611423,2611424,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6060537,6060539,9253764,10979591,255437255,13005915,255203086,24267667,25558633,33320478,42301135,272687463,132888059,146106332,146106331,146106332,146106330,260045224,90711729,257572440,26630762,254801320,9759433,9759434,13344649,13170533,8977954,5861304,3659157,3659156,5861297,8977938,13170504,18535834,25079134,29729195,26388230,26388229,19659138,14091511,9692190,6374894,4000001,2397185,1387251,1387252,2397188,4000006,6374193,6374194,9690878 Dl.O(d2) = 211435236,215523991,264863990,222367942,264543788,39362203,30761046,23338165,257400392,1818420,3111803,5121887,8032536,11983430,12016551,8075594,8027431,5116506,5116505,3128299,3128298,5130618,8029560,5118627,5118629,5142372,4360955,3117042,3117043,5128382,8038179,11983738,8038235,8038236,11987222,11980576,11980575,11998697,8051518,5142168,3127977,3127975,5142163,8051513,11997232,8051381,5142046,5142045,8051379,8064055,8158847,12127238,16186412,11251313,7468751,7468750,11251310,12003817,8069282,5163715,5121087,5121088,267900472,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840208,1840187,1840188,3104629,3104628,5112379,5227524,3189306,3122227,3122228,3105352,1814495,1814493,1822043,1866544,1815341,1036584,1036581,254255913,3122316,1825220,1041852,586627,327617,180722,99289,99285,180673,180648,180643,327440,329747,182066,99894,99897,182083,330619,593030,1054655,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,8057303,5158920,5158923,5168982,4680100,2819692,1635837,1635834,1809598,3097092,1834387,1046819,589056,328697,181198,181199,328701,589065,1046847,1834445,3137391,5153498,8061092,8079741,5175101,5175102,5120242,267902221,3142316,3142315,5158854,5127927,5123331,3112846,3112845,3153326,1845118,1052933,1052919,1052921,947118,947120,1664820,2868486,3129576,1829524,1044186,1044185,1811689,1034631,582966,582967,1034635,1186664,1186663,2067302,3482544,3101560,1812171,1812170,3101558,5108338,8019686,11974134,254821999,7523905,7523906,8014139,11970178,8048824,5139113,5139112,7529602,5131037,5131036,254817966,1822775,3118811,5130580,8040223,254564068,3106011,1814900,1036335,583847,583846,1036363,1814956,3106116,5110068,3106593,3106594,3129992,4761032,2869843,1665540,1665538,1825776,3123594,5136873,5170134,5066967,5066969,3100027,1844378,1052455,591831,591827,1052441,1844345,1837664,1837661,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8081758,7975221,7975220,11920915,12013842,12019387,12019388,17067298,11977460,8024559,7975881,7975882,8024699,5113866,5113867,8024702,11329759,11990532,8042722,5133217,5133218,8042727,5144217,5144216,8053337,8076353,5171472,5171471,8076351,11988526,12019902,8079170,8079171,11972804,11978738,8054299,5145202,3130400,3130399,5145201,8054295,11329633,11325959,7528040,4761286,2870005,2870006,4761289,3152783,3152784,5170792,7117180,7117181,10771724,15572540,17036995,22186793,22455916,21707097,15665207,15572973,10772175,10772174,8030762,8030763,11982106,15665568,21707412,258704709,271313799,50387960,61877565,74669467,88294758,91680316,258390666,64571154,52671208,42285021,42285020,40545380,254947536,26055402,26055399,19374525,13858841,13858840,268769615,52701202,42314092,33333728,33307934,25546366,18933686,13498214,12434964,8404136,8404135,12434962,17616947,13497786,13497787,17559231,12388384,12388380,10565038,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1315840,750962,750960,254205355,3786348,6050826,255670509,33313176,42293385,34682172,26687938,19868905,19868904,15648657,15648656,21687718,256309905,28475325,21270299,21270302,255267755,9247682,6056502,6056503,6936111,4358528,2611423,2611424,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6060537,6060539,9253764,10979591,255437255,13005915,255203086,24267667,25558633,33320478,42301135,272687463,132888059,146106332,146106331,146106332,146106330,260045224,90711729,257572440,26630762,254801320,9759433,9759434,13344649,13170533,8977954,5861304,3659157,3659156,5861297,8977938,13170504,18535834,25079134,29729195,26388230,26388229,19659138,14091511,9692190,6374894,4000001,2397185,1387251,1387252,2397188,4000006,6374193,6374194,9690878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656436, s2 = 8156750, dlinesl.size( ) = 2 s1 = 11656436, s2 = 8156750, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656436, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 1909711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1909764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1554979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1554979, s2 = 9436915, int(edited[s2]) = 0 s1 = 1554979, s2 = 9436915, d1 = 8, d2 = 63 Dl.O(d1) = 39364487 Dl.O(d2) = 254474888,11490714,7642543,4834966,4834965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1554979, s2 = 9436915, dlinesl.size( ) = 2 s1 = 1554979, s2 = 9436915, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1554979, Dl.E( ) = 64, 1.79e-05 seconds used appending s1 = 16046701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8086073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8086073, s2 = 13560262, int(edited[s2]) = 0 s1 = 8086073, s2 = 13560262, d1 = 0, d2 = 0 Dl.O(d1) = 53691749,53691750,49306195,39378522,30777004,30777005,39378526,49306198,269846049,87074415,101070665,111849326,97915145,84044390,70509233,57808104,46452204,36586338,28113742,20936826,20936825,28113741,36586336,46452203,39848479,31166628,23678403,23678404,31166629,256837707,21130894,15182039,10472168,6904899,6904898,10472167,12531779,17373449,16172665,11815963 Dl.O(d2) = 53691749,53691750,49306195,39378522,30777004,30777005,39378526,49306198,269846049,87074415,101070665,111849326,97915145,84044390,70509233,57808104,46452204,36586338,28113742,20936826,20936825,28113741,36586336,46452203,39848479,31166628,23678403,23678404,31166629,256837707,21130894,15182039,10472168,6904899,6904898,10472167,12531779,17373449,16172665,11815963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8086073, s2 = 13560262, dlinesl.size( ) = 2 s1 = 8086073, s2 = 13560262, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8086073, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1910887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6801928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9392258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163724, s2 = 11659837, int(edited[s2]) = 0 s1 = 14163724, s2 = 11659837, d1 = 7, d2 = 7 Dl.O(d1) = 2263163,2263376,2263375,3778660,6040106,9223594,13482296,18913227,25522669,33282847,42262633,52648277,64547482,77719795,64547478,64547477,77729707,91657421,105865519,120078133,133921330,120078143,105865525,105865526,120078145,123813151,260413318,162668363,150552848,150552849,150552850,137528862,137528861,137528859,123813149,123813148,109633509,95390885,81341877,67875112,67875113,81341879,95390889,257325880,137378339,123813147,109633503,95390881,81341874,67875111,55524551,44663395,44663394,55524549,67875108,81341871,81341872,81341873,256233480,95200523,81143755,67677839,55338304,55338305,67677840,81143757,67677844,67677843,60486675,49083150,39152974,30555233,23137744,16877493,254216080,30554815,30554814,30555229,30555228,37146859,28632820,28632821,37146861,256233442,24337287,17947249,15614735,15614736,21647895,21647896,21647897,24337073,17947044,12717371,8640973,5619745,5619743,7471596,7471595,11255242,16191584,22339569,29692423,38257813,48167030,59553564,72287699,85879658,92595756,78548343,78548344,88009100,74403743,61625006,50142953,40121807,40121806,50142951,61625002,74403740,88009099,101984614,258033494,74403737,74403738,87125166,87125167,87125157,73506351,73506350,87125155,257712076,60757240,49354137,39424426,30819594,30819593,39424424,39424427,49354138,60757235,73506344,73506356,73506357,87125160,101123204,101123205,115200905,129132358,142509435,155153561,153632900,261166851,127616103,140965754,136181678,122216980,122216979,136181677,127616105,127616104,127616108,140965753,127616107,113747175,99732589,85778572,72184267,59446148,48054599,38140999,38140998,48054598,53832056,53832055,53832054,43307193,34208800,34208799,36979921,36979920,38141000,38141001,34208798,29574415,29574416,256934049,38140994,29574413,29574414,38140996,48054595,59446142,59446140,48054592,48054593,53025169,42585409,42585410,53025171,64999814,78272795,92299679,256982556,74737548,61943041,50451556,40417006,38778765,30194464,22803851,22803852,30194465,38778768,47392921,47392920,58779997,48701462,48701461,60097291,72834023,73194383,81008107,81008111,67538435,67538434,71420984,58687793,47296884,47296883,47296885,37387529,28847266,22968246,21575479,15552197,10756339,7106416,4474072,2687925,2687924,4474067,7106402,10756307,15552140,21575381,28847302,37387566,47296925,39945788,31270964,31270963,39945786,31270965,23785484,17454758,12304686,254817415,5057345,3064017,1786146,1018555,1018554,1786145,3064015,5057342,7951565,7994832,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,7939028,7950512,5089450,3088428,1803760,1803759,3088424,5055655,5055656,7949516,7977705,11923645,16734160,11943910,7994482,7994483,11941311,7992253,5087192,3086407,3086408,5087195,7992258,11941318,17026340,255139577,11891994,16722017,11680419,11680420,16722034,16722033,22958035,30359526,30359514,22958007,22958008,23785801,23785799,30701295,23285411,17026159,17026160,17039021,16987443,11902311,7960322,7960323,268100831,17026588,11941617,7992529,7992528,11941614,11941640,17026608,22951050,16714291,11672513,11672512,11672517,16714298,16715324,20811226,27974796,20811229,14915360,11685427,11685425,16728116,22964462,30366270,30366267,30366268,38952594,48872253,60264835,60264836,73000151,70493756,57793115,57793116,49793951,41621646,41621645,256834764,63733409,76837040,90707675,90707676,104877760,271294944,146103960,261628064,180009001,188966707,184490129,174879510,164062453,152185184,139461437,126091204,112236172,98258156,84350678,84350679,75786900,62824944,62824943,75786899,268379726,75786898,268379724,51176506,41021066,40478126,40468079,31773312,24261230,17883657,12667301,12667303,254283312,8392376,5415854,3329349,3329352,5415865,8392390,12416709,10460368,6895035,6895036,8392423,10459957,6894762,6894763,10459960,15166978,17084702,12416556,8392281,5415795,5415793,8392272,10456912,6894906,6894908,10460173,15167204,14508136,9983228,6561630,6561629,9983225,12427247,12427244,15167359,18231290,15315367,15315368,14929215,14929214,20827715,23951027,17605293,17605292,20218030,14929231,14929232,17605116,21114490,28324184,21197506,15233205,15233206,13931795,9562721,9562720,13931794,19466782,24148838,17781986,12584841,8537263,8537264,12584845,17781993,23201166,16931723,16931722,23201163,30623193,39220507,255940336,43356772,34256861,268322939,19645326,26379385,30181848,26046245,19366932,19366931,21074078,28278250,26380044,19645877,19645878,19645705,19645704,19645804,14081138,9685353,9685354,14081140,19645806,255669809,13495980,13495979,13852835,9503091,9503092,13852837,9503100,9503099,13852848,19366812,14081132,9685348,6370672,3997560,3997562,6370677,9503076,6233087,3902417,2337143,2337144,3902421,6233095,9503081,6370581,254457613,3902388,6233052,9503032,13852750,19366693,22196373,16067702,11156884,7400177,4674914,4674913,7400172,11156876,11255466,16191819,22339885,24546796,18111605,12842723,8733497,8733498,12842726,18111613,19782194,14169427,14169428,17715697,17715698,22196317,16067660,11156856,11156855,11156811,11156721,7400094,4674876,467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387,9859386,14349592,20032810,26917273,20904260,14999523,14999522,20904256,28076472,36544411,46405834,44377276,34998903,34998901,42177984,34998244,34998246,34613946,34613945,36544403,34613981,26624932,19814354,19814355,26624937,34613991,26916791,20032362,20032363,20032368,14349281,14349280,19814289,19814290,26624818,26624910,26624911,28660100,28660099,37179448,39871393,33080975,25349921,18768141,18768137,256120245,42024997,52363127,64212119,65182927,78466977,92506783,106818688,121078751,126508677,112643862,98647088,259923211,84716666,84716665,98647082,112643855,109744143,95534861,81499688,68016541,255757620,44746962,55654966,68051669,81538495,68051667,63905986,63905985,77017600,84253037,255757616,113333631,99331297,99331298,90897486,77017598,254984390,77017595 Dl.O(d2) = 2263163,2263376,2263375,3778660,6040106,9223594,13482296,18913227,25522669,33282847,42262633,52648277,64547482,77719795,64547478,64547477,77729707,91657421,105865519,120078133,133921330,120078143,105865525,105865526,120078145,123813151,260413318,162668363,150552848,150552849,150552850,137528862,137528861,137528859,123813149,123813148,109633509,95390885,81341877,67875112,67875113,81341879,95390889,257325880,137378339,123813147,109633503,95390881,81341874,67875111,55524551,44663395,44663394,55524549,67875108,81341871,81341872,81341873,256233480,95200523,81143755,67677839,55338304,55338305,67677840,81143757,67677844,67677843,60486675,49083150,39152974,30555233,23137744,16877493,254216080,30554815,30554814,30555229,30555228,37146859,28632820,28632821,37146861,256233442,24337287,17947249,15614735,15614736,21647895,21647896,21647897,24337073,17947044,12717371,8640973,5619745,5619743,7471596,7471595,11255242,16191584,22339569,29692423,38257813,48167030,59553564,72287699,85879658,92595756,78548343,78548344,88009100,74403743,61625006,50142953,40121807,40121806,50142951,61625002,74403740,88009099,101984614,258033494,74403737,74403738,87125166,87125167,87125157,73506351,73506350,87125155,257712076,60757240,49354137,39424426,30819594,30819593,39424424,39424427,49354138,60757235,73506344,73506356,73506357,87125160,101123204,101123205,115200905,129132358,142509435,155153561,153632900,261166851,127616103,140965754,136181678,122216980,122216979,136181677,127616105,127616104,127616108,140965753,127616107,113747175,99732589,85778572,72184267,59446148,48054599,38140999,38140998,48054598,53832056,53832055,53832054,43307193,34208800,34208799,36979921,36979920,38141000,38141001,34208798,29574415,29574416,256934049,38140994,29574413,29574414,38140996,48054595,59446142,59446140,48054592,48054593,53025169,42585409,42585410,53025171,64999814,78272795,92299679,256982556,74737548,61943041,50451556,40417006,38778765,30194464,22803851,22803852,30194465,38778768,47392921,47392920,58779997,48701462,48701461,60097291,72834023,73194383,81008107,81008111,67538435,67538434,71420984,58687793,47296884,47296883,47296885,37387529,28847266,22968246,21575479,15552197,10756339,7106416,4474072,2687925,2687924,4474067,7106402,10756307,15552140,21575381,28847302,37387566,47296925,39945788,31270964,31270963,39945786,31270965,23785484,17454758,12304686,254817415,5057345,3064017,1786146,1018555,1018554,1786145,3064015,5057342,7951565,7994832,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,7939028,7950512,5089450,3088428,1803760,1803759,3088424,5055655,5055656,7949516,7977705,11923645,16734160,11943910,7994482,7994483,11941311,7992253,5087192,3086407,3086408,5087195,7992258,11941318,17026340,255139577,11891994,16722017,11680419,11680420,16722034,16722033,22958035,30359526,30359514,22958007,22958008,23785801,23785799,30701295,23285411,17026159,17026160,17039021,16987443,11902311,7960322,7960323,268100831,17026588,11941617,7992529,7992528,11941614,11941640,17026608,22951050,16714291,11672513,11672512,11672517,16714298,16715324,20811226,27974796,20811229,14915360,11685427,11685425,16728116,22964462,30366270,30366267,30366268,38952594,48872253,60264835,60264836,73000151,70493756,57793115,57793116,49793951,41621646,41621645,256834764,63733409,76837040,90707675,90707676,104877760,271294944,146103960,261628064,180009001,188966707,184490129,174879510,164062453,152185184,139461437,126091204,112236172,98258156,84350678,84350679,75786900,62824944,62824943,75786899,268379726,75786898,268379724,51176506,41021066,40478126,40468079,31773312,24261230,17883657,12667301,12667303,254283312,8392376,5415854,3329349,3329352,5415865,8392390,12416709,10460368,6895035,6895036,8392423,10459957,6894762,6894763,10459960,15166978,17084702,12416556,8392281,5415795,5415793,8392272,10456912,6894906,6894908,10460173,15167204,14508136,9983228,6561630,6561629,9983225,12427247,12427244,15167359,18231290,15315367,15315368,14929215,14929214,20827715,23951027,17605293,17605292,20218030,14929231,14929232,17605116,21114490,28324184,21197506,15233205,15233206,13931795,9562721,9562720,13931794,19466782,24148838,17781986,12584841,8537263,8537264,12584845,17781993,23201166,16931723,16931722,23201163,30623193,39220507,255940336,43356772,34256861,268322939,19645326,26379385,30181848,26046245,19366932,19366931,21074078,28278250,26380044,19645877,19645878,19645705,19645704,19645804,14081138,9685353,9685354,14081140,19645806,255669809,13495980,13495979,13852835,9503091,9503092,13852837,9503100,9503099,13852848,19366812,14081132,9685348,6370672,3997560,3997562,6370677,9503076,6233087,3902417,2337143,2337144,3902421,6233095,9503081,6370581,254457613,3902388,6233052,9503032,13852750,19366693,22196373,16067702,11156884,7400177,4674914,4674913,7400172,11156876,11255466,16191819,22339885,24546796,18111605,12842723,8733497,8733498,12842726,18111613,19782194,14169427,14169428,17715697,17715698,22196317,16067660,11156856,11156855,11156811,11156721,7400094,4674876,4674875,7400088,8796609,5729880,5729881,8796614,6405311,4018578,4018576,3378313,3378312,5487567,7400217,7400216,8733562,5685844,5685843,8733558,10682133,15449926,16067883,12842770,8733533,8733532,11156762,7400117,7400112,11156750,7400123,7400124,11156781,12524983,12524980,16642879,16068002,11157062,7400265,4674961,2816413,2816412,2816430,1633923,1633922,2816425,4674981,7400307,11157152,16068138,22197021,24062011,24062009,18111700,12842778,8733536,8733537,12842781,255611889,29438796,22105615,22105614,17707011,17707012,22105640,15994584,11103377,11103375,15994576,22105632,29438813,32991826,29540712,22197255,16068300,255454831,29540715,38104056,48014370,59401605,269922523,40901270,40901269,40901151,32125798,24546735,24546736,31567959,31567960,40255593,50276957,61757068,257595355,39223616,39223617,48105778,48013831,48013830,49835071,42709551,33679585,25873466,25873465,21545858,21545856,28814022,37352859,30625916,23203529,16933494,11851473,11851475,11851470,255137635,23203523,28955460,22261517,22261516,29612029,38178850,30625941,30625940,33664965,33664964,42695815,41925471,32985108,32985107,36902005,28404653,28397973,21177791,15217709,15217708,14896542,10242957,6730270,4216765,2521097,1452797,1452796,2521092,4216751,6730010,6730013,10242507,14895881,20783410,21188092,255020793,10502408,15225545,10799660,10799659,15609693,15215548,15215547,21174997,21187798,28409164,28397652,28397651,27098938,27098939,30837137,23408130,17133720,17133722,23408073,23408074,30837070,30837552,39441264,43844484,43357662,34257775,26380181,22196554,21262738,15299920,15299923,21262746,19678054,14106975,14106974,12040688,12040689,17133409,23407719,26380187,19645993,14081268,9685454,6370749,3997613,2395701,1386396,788507,446632,446631,788506,254211871,3997608,6370740,9685442,14081253,18897193,16066866,11156266,7399794,4674654,2816264,1633838,929135,929136,1633841,2816268,4674663,7399804,11156296,16066908,13554152,13554151,9325600,9325601,7062690,7062689,10690694,9273503,6074409,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882177,7713772,11588441,16614091,22835192,30226780,29798701,29798702,32098945,256106802,25654616,25654613,19035783,13587822,9303903,6094591,6094592,9303907,13545999,13546002,9333887,6113856,6113854,9333878,13631143,19092696,13656225,9351444,9351443,13205030,18581874,23567683,31051838,255645022,33095101,33430097,41760260,38370892,29798341,29798342,23567684,19119885,13651178,9347821,6122772,3830773,2295072,2295071,3830771,6122766,9347809,13651155,12297817,8305760,8305761,9352378,13657603,19128149,25767904,33555544,32840660,31685528,256106981,18581832,18581831,255892497,16068392,11157347,7400429,4675051,2816466,2816467,4675055,4675077,7400455,7400453,7400452,11156206,11156208,11156197,11156196,7400436,7400435,11156168,11156295,16066905,16068445,14520325,9991242,6566558,6566560,9991245,14520330,20235196,20900581,14996095,10326680,6795348,4260754,2547197,2547198,2221725,1464896,1464895,2542641,2567314,1946341,1111893,1111894,832204,469328,263895,263896,146145,80336,44006,24462,13702,7561,4034,4033,7556,13691,24440,43943,80181,145786,263203,467906,828902,467733,467732,828900,1464798,2542453,4252835,6784094,10285115,8334812,5379377,5379376,8334810,12327352,8327629,5374695,3304986,1944355,1944356,3304987,5374696,8327631,12327353,17483471,18687499,18687498,15853313,10987540,7273219,4586797,2759513,1599676,1599677,2759517,4586808,7273250,9652285,9652287,10988511,10988512,10315133,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882362,1551996,2679353,4460134,7084185,10722745,15504890,21515429,28778237,33463238,25691033,254360986,9320743,9320744,13611987,16808880,13568618,13568617,11754149,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769331,6025234,9203009,13457656,16772966,11726639,11726640,11725798,7828100,4968900,3001181,3001180,1743045,1743044,3001442,4659956,4659957,7376095,11120502,11727577,7829424,4969763,4969764,255127351,16773787,16771801,11725715,7828047,7828046,11725712,16771797,16772113,11725972,11725973,16772115,23011805,30416918,29900825,29900824,268417854,29338198,37906991,40640840,40640839,40640867,31925184,24392227,24392226,31925182,34256844,30418609,23013538,21580355,15556871,10760489,7109774,254337227,2689494,254739623,15556874,21580363,17979233,17979234,24377714,31909254,34613824,34613821,255738280,19814275,14193113,14193114,19814277,14193157,9756977,6415481,4024945,4024944,6415476,9756967,14193136,19814316,26624868,20032816,14349596,9859387,9859386,14349592,20032810,26917273,20904260,14999523,14999522,20904256,28076472,36544411,46405834,44377276,34998903,34998901,42177984,34998244,34998246,34613946,34613945,36544403,34613981,26624932,19814354,19814355,26624937,34613991,26916791,20032362,20032363,20032368,14349281,14349280,19814289,19814290,26624818,26624910,26624911,28660100,28660099,37179448,39871393,33080975,25349921,18768141,18768137,256120245,42024997,52363127,64212119,65182927,78466977,92506783,106818688,121078751,126508677,112643862,98647088,259923211,84716666,84716665,98647082,112643855,109744143,95534861,81499688,68016541,255757620,44746962,55654966,68051669,81538495,68051667,63905986,63905985,77017600,84253037,255757616,113333631,99331297,99331298,90897486,77017598,254984390,77017595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163724, s2 = 11659837, dlinesl.size( ) = 2 s1 = 14163724, s2 = 11659837, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163724, Dl.E( ) = 8, 3.7e-05 seconds used appending s1 = 1558330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1558330, s2 = 1759300, int(edited[s2]) = 0 s1 = 1558330, s2 = 1759300, d1 = 53, d2 = 50 Dl.O(d1) = 39425139,49354848 Dl.O(d2) = 84082984,258250042,46487659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1558330, s2 = 1759300, dlinesl.size( ) = 30 s1 = 1558604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6491962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9168025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9165601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1683249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1683249, s2 = 1559527, int(edited[s2]) = 0 s1 = 1683249, s2 = 1559527, d1 = 36, d2 = 85 Dl.O(d1) = 42663233 Dl.O(d2) = 39447479,49375929,257609163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2173310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344539, s2 = 6781811, int(edited[s2]) = 0 s1 = 10344539, s2 = 6781811, d1 = 53, d2 = 23 Dl.O(d1) = 5200255,5200256,8117168,255538333,30869321,39472818,39472814,257033567 Dl.O(d2) = 258391606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344539, s2 = 6781811, dlinesl.size( ) = 24 s1 = 9183646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1807665, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 475520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1036785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656874, s2 = 230553, int(edited[s2]) = 0 s1 = 11656874, s2 = 230553, d1 = 8, d2 = 11 Dl.O(d1) = 40957755,40621564,31907289,31907288,32178886,40957770,40957891,32178994,31907122,31907123,256201869,26649142,24592428,18146618,12867913,8751065,254889715 Dl.O(d2) = 254881535,8657643,8751046,267852919,3545047,5697538,3545079,3499522,2332096,2332095,3894696,5697546,3545058,2110923,1216258,686812,383258,383257,686810,1216253,2110915,254197185,1216269,2110941,3545082,3499512,2079804,2079803,3499509,3545055,3545054,3499523,2079810,1195739,673274,673273,1195737,1216262,1195743,1195744,2079816,3499529,5631531,3894693,3499514,267774797,673270,374600,205400,112259,61532,61533,112261,205403,374606,673281,1195747,2079823,3499480,5631469,5631484,8657595,8657559,5631461,5631462,8657561,12740128,17977310,18043268,18043269,18147809,12868708,12868707,13014694,13014693,18334073,24592234,24826736,24375673,24375672,25943219,24375778,24375777,31907221,24826739,24826738,256092479,24927804,31907118,32465762,32465763,41310910,51531441,257184972,51734884,257185008,51101757,62732781,75678981,75018123,62197142,50678945,50678946,52545236,42186461,42186460,42466250,42466251,52869958,64788655,77306502,64158347,52306937,52306936,52545223,52545224,62732750,51101724,51101725,52845700,52845701,46212928,46212929,52869963,52869964,64788662,75678986,257702574,67632488,61899051,50408589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656874, s2 = 230553, dlinesl.size( ) = 2 s1 = 11656874, s2 = 230553, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656874, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 2930353, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6477009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8362786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1920775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6562428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6562428, s2 = 13557802, int(edited[s2]) = 0 s1 = 6562428, s2 = 13557802, d1 = 6, d2 = 6 Dl.O(d1) = 17248502,255994521,39717207,49735689,61214015,73992755,87592970,86549477,72950271 Dl.O(d2) = 17248502,255994521,39717207,49735689,61214015,73992755,87592970,86549477,72950271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6562428, s2 = 13557802, dlinesl.size( ) = 2 s1 = 6562428, s2 = 13557802, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6562428, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 6767753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164589, s2 = 8324556, int(edited[s2]) = 0 s1 = 14164589, s2 = 8324556, d1 = 13, d2 = 14 Dl.O(d1) = 99077313,113066052,126920166,140268206,152472858,139750629,139750628,262200832,112503271,98507895,98507890,84582614,84582615 Dl.O(d2) = 86682727,73078450,73078449,256756748,48940869,48940868,60338321,73078451,86682729,100655267,99838121,99838120,89864348,89864329,76069021,76069020,89864287,76068944,63072960,51384008,51384009,269042741,32374394,41193230,51383988,63072941,72291809,258756249,85884020,72291779,59557598,268944443,29695501,255757791,14542428,10005605,10005603,14542420,20268360,27192703,256761505,55629898,68016714,81499905,90011090,76207259,76207258,259486872,86141100,72542598,60183425,48786962,38865094,30279694,22882144,16653409,11620802,7739248,4900204,2953291,254364077,2932965,4867349,7691557,11411713,7583366,4796580,2891299,1678162,954788,538378,538377,267766847,2891297,4796575,2896980,1681023,956138,956133,1680971,1680969,1681925,956513,539096,539094,539083,539081,956453,1681727,2898419,4809269,7602233,254786127,16401368,11417631,7588279,4799812,4799813,7588282,11417633,7612173,4815952,4815953,7602996,11434939,11420271,11420270,11626280,7744400,7744401,11626281,8323096,8323095,12322173,17477288,23811131,31297143,256515987,31275189,36791606,28294933,28294934,36791608,46677569,46677564,46677565,46624540,36736427,28241422,28241419,21042657,21042658,28241421,26441591,19702459,14126949,9719031,6393679,6393678,7858235,11770197,255515017,30497591,39093503,49022480,60426102,67696517,81162400,95219092,109473222,123665182,137396061,150435469,150435474,162563703,162563704,173593766,164472441,152618690,139910829,139910830,152618691,139910835,139910834,126547382,112684801,112684800,112684799,98690388,84763344,258049098,47095890,256320058,28677228,37200003,256320060,28677229,37200006,38048464,29484985,22146684,22146686,256384343,47961506,59352144,72085342,81567866,68077952,55679217,55679218,68077953,81567868,95601474,109803812,109803813,123940181,137618682,137618683,141950779,260752472,261007517,150615062,162713269,162713266,150615059,137618676,137618677,150615061,162713267,162713268,173721636,175240998,262796106,142835374,129518332,115633200,101592689,101592688,112673865,115633197,101592686,87625458,87625459,87625463,74021385,61240865,61240866,61240862,49761861,39743184,31065177,31065178,39743186,49761863,61240866,71803150,257483159,47662398,59062520,49115849,39187120,37741992,29181167,21870364,15796336,13658513,9352989,9352988,255059717,10944558,15796198,15795523,10943909,10943908,10943026,7241077,4565154,2745569,2745570,4565156,267969581,7242530,4566126,4566125,7242529,7242533,7242534,10943121,7241143,4565197,4565198,7241144,10943122,268910498,2744576,1590626,904268,566178,566179,1004745,1763636,3031057,4571512,254752447,10956273,7251625,7094964,4467126,254226955,1554653,2683775,2683802,2683807,2683806,4467173,7095012,4566730,2746546,2746545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164589, s2 = 8324556, dlinesl.size( ) = 2 s1 = 14164589, s2 = 8324556, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164589, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 7888572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7888572, s2 = 11866843, int(edited[s2]) = 0 s1 = 7888572, s2 = 11866843, d1 = 7, d2 = 2 Dl.O(d1) = 254813645,7901306,7901542,5022686,3040225,1770441,1770443,3040267,4380977,4380973,6973757,10572773,8276802,6063604,3793810 Dl.O(d2) = 87961504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7888572, s2 = 11866843, dlinesl.size( ) = 2 s1 = 7888572, s2 = 11866843, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7888572, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 14162845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9157831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9157831, s2 = 14163251, int(edited[s2]) = 0 s1 = 9157831, s2 = 14163251, d1 = 0, d2 = 0 Dl.O(d1) = 1372166,1372170,2370328,2370312,1372166,1372170,2306504,2306509,2325894,3884254,5853781,3957277,3957276,6313788,9612476,9638196,6335773,3974330,3974329,6290787,3940238,3940240,3974218,6335599,9637942,9639942,254114590,6078662,6078660,254454424,18994501,13554846,13550762,9302081,9302083,13585242,18989883,13550995,13550996,18990152,25602132,18994500,13554841,9279790,9279791,9276893,6076583,3802039,2277340,1320647,254205935,3802034,254655727,13551123,18990287,19032397,18990146,18990147,13585240,13585239,18989800,25602019,18989859,18989860,25602085,33366595,33366601,33366644,33366645,33366897,33366898,42355683,33367050,25602557,25602556,24542970,24542947,24542946,25602135,25602134,33366632,33366896,25602400,24542945,18108695,268272357,25602467,33366612,25607089,254149752,33540498,42360848,33371850,25607061,18994472,18994471,19113447,25751722,25602119,18989891,18989890,25602114,32120910,32120909,25932400,19270138,19270137,25602551,18990299,18108718,12840696,12840697,18108720,24542939,25602131,25932547,32120903,32120902,24542959,24542960,32120893,24542952,24542953,25602124,25602123,25607050,33371833,25607035,18994449,13554793,9279758,6078617,6078616,9279768,13554811,18994477,25607065,32120897,24542956,24542954,32120896,29006670,21720685,21720684,29006584,29006585,37552215,37552259,37552258,42630318,33605396,25807616,25807617,31572811,24066990,17711181,17711182,24066993,25607046,25607045,29006569,37552200,47459690,42355754,33366978,25602486,25602485,19507311,19507310,26221492,25607008,18994429,18994430,25607011,21543291,15676378,10852656,10852654,15676377,21720718,29006548,21720590,21720592,24292248,24292253,30334864,22933944,22933945,18994415,18994416,25606992,33371802,42360819,39783758,33087667,25355049,18772967,268023183,5979075,5979076,9136925,6384875,4006416,2400984,2400987,254464237,9706610,8734960,5686730,5686731,255218149,22633559,16446054,11458726,11458664,11458667,15801734,10948970,10948972,11753340,11753337,16807718,257002077,60368781,73071739,60331244,48933451,39009971,30420652,23015561,16775604,16775602,16775603,255955277,39009959,269362567,79085008,70223460,70223461,83744593,258691580,60880004,49475325,39539662,30927165,30927166,30943005,23496978,23496974,30942991,39565281,39565283,34907163,34882941,26824634,19958589,19958593,19979368,19974036,14302617,9825143,6454709,6454708,9825163,14302819,19976366,26829206,34889230,44247768,55081503,67414163,80882415,67467833,55129280,44287281,44287280,55129278,67467831,80936415,94996781,105710573,91486818,77556085,64387921,64387922,52514258,52514257,64387927,77556091,91486829,105710592,119945386,133812465,269749902,154598055,141953852,141953851,152492945,139773030,126398309,112528401,98534103,84609624,71045865,71045866,84609626,98525244,98525243,98534110,84609629,84609630,74052994,61273107,49794039,49794040,42809610,33777155,25967299,19301123,19301124,24310181,255510892,30463112,29195806,29195805,30463124,30463125,39052689,31520919,24019602,17670668,17670669,16781579,16781578,23022456,254311468,40505433,31809867,254463380,18125575,18125577,24565407,32148600,40659562,36613884,28140246,28140245,36613883,42914133,42914132,48717666,254958106,86443469,100399542,93443274,79312440,65948308,271116787,136257728,149520597,161825276,157923601,145524141,268994162,104289198,90148911,76330008,76330007,90148910,255560414,71036208,58320570,58320571,254619766,63964234,52141481,254140792,32900396,254195166,63964237,77080829,90966643,105153282,119351681,130488243,128126162,114239425,100205125,258924918,30011078,38583236,48498102,59892153,72634305,86236917,100205131,114239434,128126172,141487436,154153056,165914106,176562651,185351052,262692505,261696189,127289416,127289418,140635395,140635396,153314424,146710449,133464079,119600433,119600434,133464081,128838120,114938763,100887004,86906943,73296814,60553821,60553820,73296812,86906939,100887024,114938796,128838162,142194837,154829882,166534189,176012936,165318732,262703043,165318734,154829843,142194799,142194798,154829840,165318733,272854558,128717644,128717639,114817704,271829311,128717637,128717636,142076883,153525036,140846378,127488008,113614085,99599067,85649439,259363469,113614084,120281724,114817717,114817716,114817710,100765660,86784868,86784867,100765659,100765670,99599042,85649425,72062424,59328265,47936657,38023019,29461090,22126567,255448848,11116795,256382793,47936660,258738249,89706590,75927927,75927926,270982711,103812389,103812388,259133010,75927928,89706593,89706599,270982713,117960020,122260858,136229371,122260860,107852226,93428209,93428208,107852224,122260857,259706272,146847898,133589999,119715215,119715213,105475821,91253634,77334132,64187078,52336888,41997708,41997707,41997706,52336883,256500998,60204809,48807709,38885374,30299634,30299631,22901013,22901014,256448229,42145456,33186093,33186095,30547466,23129129,23129127,30547463,39145467,32537040,32537039,31769000,24256855,24256854,31768998,40463705,50499771,51613664,51613663,63337902,53333047,42871836,33830654,26012654,26012653,33830653,33987955,33987956,268434740,33988073,43046739,53526438,65551307 Dl.O(d2) = 1372166,1372170,2370328,2370312,1372166,1372170,2306504,2306509,2325894,3884254,5853781,3957277,3957276,6313788,9612476,9638196,6335773,3974330,3974329,6290787,3940238,3940240,3974218,6335599,9637942,9639942,254114590,6078662,6078660,254454424,18994501,13554846,13550762,9302081,9302083,13585242,18989883,13550995,13550996,18990152,25602132,18994500,13554841,9279790,9279791,9276893,6076583,3802039,2277340,1320647,254205935,3802034,254655727,13551123,18990287,19032397,18990146,18990147,13585240,13585239,18989800,25602019,18989859,18989860,25602085,33366595,33366601,33366644,33366645,33366897,33366898,42355683,33367050,25602557,25602556,24542970,24542947,24542946,25602135,25602134,33366632,33366896,25602400,24542945,18108695,268272357,25602467,33366612,25607089,254149752,33540498,42360848,33371850,25607061,18994472,18994471,19113447,25751722,25602119,18989891,18989890,25602114,32120910,32120909,25932400,19270138,19270137,25602551,18990299,18108718,12840696,12840697,18108720,24542939,25602131,25932547,32120903,32120902,24542959,24542960,32120893,24542952,24542953,25602124,25602123,25607050,33371833,25607035,18994449,13554793,9279758,6078617,6078616,9279768,13554811,18994477,25607065,32120897,24542956,24542954,32120896,29006670,21720685,21720684,29006584,29006585,37552215,37552259,37552258,42630318,33605396,25807616,25807617,31572811,24066990,17711181,17711182,24066993,25607046,25607045,29006569,37552200,47459690,42355754,33366978,25602486,25602485,19507311,19507310,26221492,25607008,18994429,18994430,25607011,21543291,15676378,10852656,10852654,15676377,21720718,29006548,21720590,21720592,24292248,24292253,30334864,22933944,22933945,18994415,18994416,25606992,33371802,42360819,39783758,33087667,25355049,18772967,268023183,5979075,5979076,9136925,6384875,4006416,2400984,2400987,254464237,9706610,8734960,5686730,5686731,255218149,22633559,16446054,11458726,11458664,11458667,15801734,10948970,10948972,11753340,11753337,16807718,257002077,60368781,73071739,60331244,48933451,39009971,30420652,23015561,16775604,16775602,16775603,255955277,39009959,269362567,79085008,70223460,70223461,83744593,258691580,60880004,49475325,39539662,30927165,30927166,30943005,23496978,23496974,30942991,39565281,39565283,34907163,34882941,26824634,19958589,19958593,19979368,19974036,14302617,9825143,6454709,6454708,9825163,14302819,19976366,26829206,34889230,44247768,55081503,67414163,80882415,67467833,55129280,44287281,44287280,55129278,67467831,80936415,94996781,105710573,91486818,77556085,64387921,64387922,52514258,52514257,64387927,77556091,91486829,105710592,119945386,133812465,269749902,154598055,141953852,141953851,152492945,139773030,126398309,112528401,98534103,84609624,71045865,71045866,84609626,98525244,98525243,98534110,84609629,84609630,74052994,61273107,49794039,49794040,42809610,33777155,25967299,19301123,19301124,24310181,255510892,30463112,29195806,29195805,30463124,30463125,39052689,31520919,24019602,17670668,17670669,16781579,16781578,23022456,254311468,40505433,31809867,254463380,18125575,18125577,24565407,32148600,40659562,36613884,28140246,28140245,36613883,42914133,42914132,48717666,254958106,86443469,100399542,93443274,79312440,65948308,271116787,136257728,149520597,161825276,157923601,145524141,268994162,104289198,90148911,76330008,76330007,90148910,255560414,71036208,58320570,58320571,254619766,63964234,52141481,254140792,32900396,254195166,63964237,77080829,90966643,105153282,119351681,130488243,128126162,114239425,100205125,258924918,30011078,38583236,48498102,59892153,72634305,86236917,100205131,114239434,128126172,141487436,154153056,165914106,176562651,185351052,262692505,261696189,127289416,127289418,140635395,140635396,153314424,146710449,133464079,119600433,119600434,133464081,128838120,114938763,100887004,86906943,73296814,60553821,60553820,73296812,86906939,100887024,114938796,128838162,142194837,154829882,166534189,176012936,165318732,262703043,165318734,154829843,142194799,142194798,154829840,165318733,272854558,128717644,128717639,114817704,271829311,128717637,128717636,142076883,153525036,140846378,127488008,113614085,99599067,85649439,259363469,113614084,120281724,114817717,114817716,114817710,100765660,86784868,86784867,100765659,100765670,99599042,85649425,72062424,59328265,47936657,38023019,29461090,22126567,255448848,11116795,256382793,47936660,258738249,89706590,75927927,75927926,270982711,103812389,103812388,259133010,75927928,89706593,89706599,270982713,117960020,122260858,136229371,122260860,107852226,93428209,93428208,107852224,122260857,259706272,146847898,133589999,119715215,119715213,105475821,91253634,77334132,64187078,52336888,41997708,41997707,41997706,52336883,256500998,60204809,48807709,38885374,30299634,30299631,22901013,22901014,256448229,42145456,33186093,33186095,30547466,23129129,23129127,30547463,39145467,32537040,32537039,31769000,24256855,24256854,31768998,40463705,50499771,51613664,51613663,63337902,53333047,42871836,33830654,26012654,26012653,33830653,33987955,33987956,268434740,33988073,43046739,53526438,65551307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9157831, s2 = 14163251, dlinesl.size( ) = 2 s1 = 9157831, s2 = 14163251, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9157831, Dl.E( ) = 2, 7.87e-06 seconds used appending s1 = 1924296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1924296, s2 = 8088269, int(edited[s2]) = 0 s1 = 1924296, s2 = 8088269, d1 = 9, d2 = 4 Dl.O(d1) = 49796531,49796532,49796439,39776647,31098437,23614754,23614756,31098442,39776649,49796441,61275761,74055817,87659401,87659389,74055803,61275752,61275753,74055806,87659393,101626488,109829858,95625835,269797988,68103054,81592475,95625833,109829856,113302781,99299127,85354030,71763584,259339575,113302785,115667514,101626718,101626717,115667511,129553717,115667304,115667305,109829863,95625837,95625836,109829861,272101333,142872565,262798317,186883260,262798314,164752610,164752609,263116275,175745220,262591008,261571182,127162695,140509624,153192834,262202562,261136426,137650860,150648302,273062291,183516849,192061724,264139313,210783156,264742680,200671611,193557729,273503040,165012088,165012087,175745216,185258344,263519270,183516853,173745997,173745996,272847926,162744226,173745993,183516847,192061719,199414373,205636098,210783147,214987438,218445246,265340296,215688088,211633493,206673970,206673971,206673988,264742683,214987423,273858114,199414364,264139303,193557727,264197731,205636097,205636096,210783144,274188924,211633496,206673973,200671594,193557710,193557711,193557720,185258339,185258340,264197729,211633513,264742678,210783148,214987440,214987454,210783159,205636107,264431805,214987452,218445256,221349886,221875152,265145948,211633506,206673981,200671601,193557715,185258334,185258335,193557717,200671602,206673984,211633508,215688098,215688100,265185977,264694320,200671588,263811456,185258331,193557709,200671591,206673968,211633490,211633507,264975323,265551617,265854721,274594785,229867909,228254671,274394172,219042008,265185975,224307066,265709415,229867911,266221807,234801495,266303302,232585001,233745201,234801493,274623132,274555153,232584998,233745198,234801491,266508261,237439897,238165025,238824952,239431224,266904697,240992222,241438236,274902117,242587199,242916374,243222871,243222869,274932272,242233734,274887350,239991134,239431221,239431220,239991132,266954505,267001120,240900948,240900947,267076503,274932271,243726658,267294301,244427407,267360599,244993057,275004497,245461747,245315292,245159465,244993054,244816360,244628707,244628706,244816358,244993053,245159463,245315290,267433399,245381596,245229827,267440695,245658555,267436496,245461745,275018683,267491801,245783445,267471900,245524450,245381598,267408690,274984706,244515341,244711627,267389117,267424533,267456197,267484925,245783446,267457338,245524453,245658561,267457336,245381593,245229826,245067881,244895157,244711626,244515340,244305060,244078878,243835984,243574329,243574330,243835988,244078882,274977415,267389119,274990443,274962397,243292350,242990102,267133512,241542414,241105614,240634981,240127375,266967101,241105617,266921928,239579977,239579976,240127378,240634983,266869846,274835226,239033641,239033640,239579984,239579985,240127382,266921926,239579975,238987962,238344088,266614400,266608829,238344090,238987967,266865761,238987975,238344095,238344094,238987973,274818842,274779560,237636987,238344099,238344092,237636983,236858392,236001337,266359304,232887853,231633291,274525734,226877728,265749659,230236900,231633293,232887856,266250578,266250580,266020968,226998325,226877730,224827057,265251782,216457041,216457040,265594979,265749656,222620559,219891803,216658102,212757338,212757337,212529605,207725553,207725554,212529608,212529609,216457043,216658100,216658099,265237961,265251784,212529613,212529603,207725552,201899022,194974417,194974418,201899024,201899025,201899026,207725558,212529611,212529597,207725548,201899020,194974416,273741059,207725551,274121140,207725560,201899028,263636868,177597435,167093514,155454718,142872619,142872618,262798335,263636866,167093518,155454723,142872625,142872624,262326013,177597438,263252676,167093516,155454720,142872623,129553762,115667343,101626525,87659437,87659438,101626527,115667346,115667350,261307082,101626529,87659439,258277204,269864449,87659441,260700487,101626536,87659443,74055852,257668566,39776675,31098463,23614770,23614769,31098460,257632103,61275795,258863725,101626533,115667352,260735020,101626520,269878634,257632101,74055847,87659436,101626523,115667339,129553753,142872611,155454712,263227857,167093520,155454726,142872627,142872626,272905680,142872614,129553757,115667338,270909028,259488087,115667335,129553755,262798333,186883401,274009481,274358245,228665087,274565035,265760146,222465023,265424763,226877724,274567936,231633289 Dl.O(d2) = 228665083,226877723,224827052,224827051,226877721,228665081,274606624,234024003,235059273,266258454,274639669,266531033,236001334,274671965,266020967,232887850,234024001,266445311,266747103,266865759,239579972,274800232,237636981,266681197,238987959,266686480,266537092,274702167,266681195,266808907,266918209,239579969,239579970,240127373,274826572,237083908,266700969,239167974,239748732,274855995,240393277,239864952,239292798,239292797,239167971,238535025,266644100,266630079,237992527,237992526,238670954,237992525,274710670,234545850,274615318,274536496,227825174,274500565,274615320,234545852,266487329,237246917,266471060,266281296,227825176,225939009,265295414,265139509,265512365,227825177,274536498,214905978,273790090,173587048,183381537,273448938,263715935,264059898,273236826,162556356,150427362,146900398,272698055,170606205,180735055,180939287,170812744,262467094,271983912,105760851,105760852,91538630,259024002,52565680,42205204,33243630,256122546,13460627,13460626,18888679,25493285,256647261,52565678,64440991,77609285,259662385,77609280,64440988,64440989,77609282,77609283,91538633,105760854,261431742,260278987,261442165,263350025,264059901,263519266,183516839,263446599,199414363,192061702,262683366,173745987,183516838,264139305,273538640,183516843,262202560,162744224,263041271,192061716,264139309,192061709,183516841,173745989,162744222,150648297,137650857,123969394,123969395,137650859,150648300,262591007,263446601,263519268,192061707,192061700,183516836,272847922,150648294,150648295,272847924,162744223,263041269,264139307,273878043,207428231,201547148,201547149,264197726,199414359,199414358,205636080,273825174,186404850,186404849,194560694,194560683,186404842,186404841,177047962,177047961,186404852,194560698,263941117,207428236,212277718,210783134,205636086,199414366,194560682,186404838,186404837,194560680,201547141,201547144,263790036,263015616,177047959,186404848,194560692,201547151,263423242,166465562,262768559,166465558,154759320,142126118,128772134,261236499,262294015,177047956,186404845,194560688,194560696,263015618,166465560,272582667,128772135,142126120,142126124,142126125,154759325,262768561,186404839,263423240,272596716,271865555,128772133,271146424,86843389,73230166,60483110,49079524,39149527,257009181,60483112,258821151,100824944,114875942,116140754,102082959,270390185,40195993,256029211,256029213,39149526,255730232,254965492,11803845,268240615,30551608,257009183,258197977,86843391,259764980,88095972,258897119,257665577,40195998,31510123,24010233,17663501,254862585,254862587,17663504,24010236,31510127,40196004,49079525,60483115,258821153,100824946,114875944,128772138,116140759,102082962,270894792,61700490,61700489,50218366,50218365,61700487,270390187,74483657,74483658,88095976,102082967,260732557,260114250,88095979,260135875,130050074,116140756,271865557,107410130,121792882,260114252,88095981,74483660,61700493,50218370,40196000,40195999,257665579,74483655,259521115,114910429,100859953,258824271,60522749,49121665,269368121,86879573,86003621,72407381,65557158,53532288,43052375,33993494,33993493,43052374,53532286,65557156,78892165,270383018,116140761,102082963,260135873,129727990,260114254,258875048,61429342,49951897,39934855,39934856,257012357,30596947,30596946,39194028,39776704,255895560,268227202,12179798,17301731,23614780,31098479,268227200,61275893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1924296, s2 = 8088269, dlinesl.size( ) = 2 s1 = 1924296, s2 = 8088269, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1924296, Dl.E( ) = 10, 1.1e-05 seconds used appending s1 = 11657360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8175297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9467662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9115351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352455, s2 = 7603115, int(edited[s2]) = 0 s1 = 10352455, s2 = 7603115, d1 = 19, d2 = 11 Dl.O(d1) = 87681629,101653004,259950110,101897920,258262250,46788351,37751839,29190356,25711887,19084082,13625099,13625098,19084078,22105497,29438632,37735024,30868066,30868067,36910641,28413180,21191587,21191588,19084062,16982826,16982827,23247709,28413267,21191683,21191682,15228640,15228641,21191689,28413273,30664128,255649308,28902692,21628095,15597151,10789772,7128665,7128667,10789774,15597154,255000688,47349038,255181862 Dl.O(d2) = 269001677,258268776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352455, s2 = 7603115, dlinesl.size( ) = 2 s1 = 10352455, s2 = 7603115, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10352455, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 1837596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1394858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9353483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6563076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1926910, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1927791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1927791, s2 = 10460043, int(edited[s2]) = 0 s1 = 1927791, s2 = 10460043, d1 = 93, d2 = 61 Dl.O(d1) = 49880830,39857908 Dl.O(d2) = 6548322,255334675,27082611,30606979,30606978,33222885,33222886,35310262,35310175,27190390,20266140,20266141,256234653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1927791, s2 = 10460043, dlinesl.size( ) = 42 s1 = 10160888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163924, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9336625, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1929376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13223095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1929992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1930106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9157333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9157333, s2 = 15929630, int(edited[s2]) = 0 s1 = 9157333, s2 = 15929630, d1 = 4, d2 = 7 Dl.O(d1) = 131802398,145061921,262414939,168962522,262084894,260991604,109545474,95290728,259159278,67767015,55427360,44580385,35202236,27112359,27112358,35202234,39173903,30576226,23159258,17552416,17552417,23897871,17566211,12394773,8376348,5405818,3323385,3323386,5405824,8376361,12394793,17168418,12402729,8382059,8382061,5409243,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5385174,3311497,3311499,5385185,8281025,8997015,13197991,17392598,13526089,9257108,9257109,13526092,17407342,12267518,12267517,12271664,17412858,23737696,31221422,39898298,49918064,61398103 Dl.O(d2) = 103704571,103704572,89588632,256745706,41036021,32243683,32243684,41036024,47268088,47268087,38857862,35091010,35091011,40145626,50170830,61656878,57641461,256309456,27984242,27984241,36443578,28896984,21621474,21621476,28896990,37437608,47344776,46296926,36443585,27984247,20819718,14922258,14922256,20819714,27984244,29610878,22260470,16120727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9157333, s2 = 15929630, dlinesl.size( ) = 2 s1 = 9157333, s2 = 15929630, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9157333, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9325940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1643050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1643050, s2 = 11028336, int(edited[s2]) = 0 s1 = 1643050, s2 = 11028336, d1 = 21, d2 = 50 Dl.O(d1) = 41727623,41727624,47227193,37318157,28782216,28782215,37318073,37318072,39781743,37318239,28782299,28782298,255062282,268217600,59433033,48040930,38127730,38127731,48040932,39781751,255111728,37318057,254793586,58620512,47227337,47227328,47227329,49934608,39916603,37318295,37318294,37318303,37318302,47227321,52525107,49800849 Dl.O(d2) = 258200789,49116526,49116527,60518410,60518409,49116472,39187798,30590275,23171866,23171864,30590271,39187792,256673264,255689722,39188002,39188001,39188121,39187610,39187608,39188040,49116692,49116488,47386887,47386886,58774205,49116461,39187782,30590263,23171861,16908285,11833039,11833038,16908279,23171854,30590253,39187769,49116315,39187639,39187638,33638560,33638561,39187969,39187786,30590267,23171990,23171991,16908349,16908350,23172002,30590479,39187802,39187804,39187554,39187556,49116234,49116497,49116499,39188030,39188027,39188007,30590443,23171971,23171969,23172033,16908366,16908367,23172040,25536910,25536908,33298865,30590137,25835168,25835169,33638094,42667663,39187672,39187673,49116220,49116218,39187775,39187534,39187535,39187542,49116205,269098972,39187743,30590239,23171842,16908272,16908271,23171840,30590237,39187741,42668762,42668763,52667596,52667595,64568160,269098976,62045933,50553326,40517108,39188035,39188034,49116688,53119822,53119821,256673220,255689676,49116247,39187569,30590489,30590490,33639107,30590117,23171766,16908233,16908231,23171761,30590112,39187546,49116214,42668045,42668044,53119800,42668775,42668774,53120072,42668517,42668516,39187810,39187809,39188103,30590512,23172018,23172013,255283376,33639084,33639087,31820426,24304117,17920543,12697109,8626095,8626094,12697106,17920538,24304103,31820402,33638525,33638524,33638843,42668294,37369709,28829603,267935322,42667955,33639203,25836113,19182891,13699176,13699175,19182887,25836106,25835539,19182385,19182386,25835542,33638390,25835433,25835432,25835459,25835458,33638419,33638428,33639557,33639558,33638220,33638219,33638423,33638548,25835557,254939030,40517102,31820397,24304099,17920534,12697102,12697101,17920531,24304095,31820394,33639166,33639167,42668566,42668719,39188017,30590448,30590447,33638447,42667953,33639195,33639193,25836098,19182880,19182448,13698745,13698744,13698704,9381895,9381896,254453490,25835535,19182840,13699135,9382218,6146482,6146483,9382220,13699144,19182860,25836075,33639174,33639416,25836347,19183068,19182647,13698947,13698948,19182650,25835819,33638837,25836293,25836294,25836540,33638437,25835470,25835471,33638441,42667947,33639036,33639037,33639019,25835960,19183081,19183080,25836362,25835771,25835772,23175826,23175828,30594656,25835276,19183199,13699411,9382404,9382402,13699405,19183189,25836485,33639555,25836508,19183205,19183206,25836513,25836327,25836326,33639392,42668710,42668542,33639130,25836048,25836049,33639136,40489806,33638832,25835816,25835815,33638826,42668272,42668222,42668225,42668700,42668922,42668461,33639047,25835978,19182759,13699044,9382155,9382153,13699039,19182748,25835967,33639023,42668232,49118854,53120172,53120173,49118862,255283364,33639767,25836709,19183372,13699546,13699548,19183375,25836711,33639772,42668984,39188012,39188010,42668837,39189710,30592300,23173638,23173639,30592304,39189716,255283394,53120182,53120339,42668929,33639677,25836604,19183292,13699468,13699467,19183285,25836595,33639043,33639042,42668456,53119961,53119960,49118056,39189792,33638871,33638872,33638883,25835861,19182681,13698979,9382105,9382103,13698976,19182676,25835847,33638863,42668302,49117973,49117972,49118126,41732784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1643050, s2 = 11028336, dlinesl.size( ) = 2 s1 = 1643050, s2 = 11028336, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1643050, Dl.E( ) = 56, 2.91e-05 seconds used appending s1 = 1604438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1604438, s2 = 7977381, int(edited[s2]) = 0 s1 = 1604438, s2 = 7977381, d1 = 33, d2 = 10 Dl.O(d1) = 40454420,41226591,44438140,44438139,39920755,39920754,35086330,35086329,256350216,29205623,21892384,15814766,15814765,21892383,23760565,31245106,39920801,40131602,40131601,268625272 Dl.O(d2) = 22559065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1931950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7601718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7601718, s2 = 11371492, int(edited[s2]) = 0 s1 = 7601718, s2 = 11371492, d1 = 30, d2 = 28 Dl.O(d1) = 268975243,258218353,257061327,31261883,31261882,39936933 Dl.O(d2) = 263009428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7601718, s2 = 11371492, dlinesl.size( ) = 18 s1 = 10145925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13258109, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13300671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14509499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14509499, s2 = 9127534, int(edited[s2]) = 0 s1 = 14509499, s2 = 9127534, d1 = 0, d2 = 22 Dl.O(d1) = 46297605 Dl.O(d2) = 85225637,85225636,85225639,71660121,58938698,47556784,37651467,29102403,21804196,15743455,10903513,7211185,4543483,2731237,2731238,4543485,7211188,10544238,6953872,4369328,4369330,6953876,10544243,268204481,21265141,15302972,15274146,15274147,15299589,15299588,11394766,11394769,12068063,12068061,10544527,6954055,4369430,4369432,2623024,2623023,4379738,6971761,6955615,6955614,10546707,10545638,6954855,4369853,2620030,1512508,857524,857519,1512486,2619987,2621993,1513406,1513403,2621981,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,9258970,9938239,255331419,18963785,15277958,15277957,17580476,254596598,31411412,25563790,18952369,18952370,255166736,12067677,12067676,17163943,17160439,12063930,12063931,267908840,10867241,10867240,8276233,5340063,5340064,8276234,12254584,17390128,23713548,17389857,17389859,23713552,23795337,23795333,31281409,30206354,30206355,31797363,37488303,255540860,15630628,10816633,7148528,7148529,10816635,15630632,21666555,28945744,30907473,23472192,23472193,30907476,257037175,60849812,65954994,53888293,43364281,34264464,26387093,26387092,30660219,39256037,49181649,268644264,39941705,31266830,23781708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14509499, s2 = 9127534, dlinesl.size( ) = 2 s1 = 14509499, s2 = 9127534, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14509499, Dl.E( ) = 24, 2.5e-05 seconds used appending s1 = 1933587, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1934094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1579568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9687011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9687011, s2 = 6626002, int(edited[s2]) = 0 s1 = 9687011, s2 = 6626002, d1 = 0, d2 = 28 Dl.O(d1) = 31300009,31300010 Dl.O(d2) = 58073049,256555848,256673089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9687011, s2 = 6626002, dlinesl.size( ) = 2 s1 = 9687011, s2 = 6626002, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9687011, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 1579938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1579938, s2 = 2942127, int(edited[s2]) = 0 s1 = 1579938, s2 = 2942127, d1 = 5, d2 = 26 Dl.O(d1) = 39977469 Dl.O(d2) = 87807952,101780373,115826638,261284036,115826638,260287694,260287697,257802379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1579938, s2 = 2942127, dlinesl.size( ) = 26 s1 = 7987441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 254581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 254581, s2 = 14332060, int(edited[s2]) = 0 s1 = 254581, s2 = 14332060, d1 = 1, d2 = 5 Dl.O(d1) = 6201964,3881934 Dl.O(d2) = 3881932,6201959,254943955,9384372,13701850,19185966,25839566,33642828,42672061,53122959,63865842,63865844,63012458,63012459,55384296,44538042,35161413,27074688,20178774,20178773,27074685,35161407,44538021,256639610,70316877,57626484,55384338,44538270,44538271,55384548,67724101,258399472,59369427,47979362,38067399,29504257,29504259,35161477,35161478,44538149,55384418,59369547,47979419,47979420,59369549,72102003,72101971,59369477,47979361,47979285,47979284,59369378,59369370,47979274,38067347,29504231,22164722,16042517,11139221,11139222,16042519,22164726,29504239,256927989,50404034,59369553,59369554,72101897,72101882,59369484,47979368,47979367,59369482,57788730,57788731,64670313,269338618,36569022,36569021,46433535,57788726,70489463,64548504,52649258,42263497,42263496,38067358,29504237,268632485,47979291,47979295,59369390,72101895,72101896,85687633,72101955,61894571,61894570,64670352,257212487,257212489,269998595,52755362,42355995,42355997,52755367,59369469,72101960,64670319,64670318,76147914,76147913,259603147,64670355,52755360,42355992,33367214,25602685,18990409,18990410,24164397,24164399,31674029,40368638,50404030,61894563,52755342,42355978,33367205,25602680,25602679,33367203,40570668,50612626,62112186,52755328,42355966,42355965,52755326,52755329,64548488,64548489,76147844,63140182,51441102,51441101,51441323,51441234,51441235,63140275,63140451,52755358,51441321,51441319,63140364,76147999,76148062,76148061,258306818,257697300,269420882,258349495,51441325,51441324,63140370,75776567,62816602,62816601,75776565,76147870,89955663,77860202,76975449,63863901,52044438,51441438,41242419,32416405,32416406,41242421,51441441,63140467,76147916,89553752,75776568,62816613,51169950,41242252,32416407,32416408,33507453,33507454,38351645,47904233,256949622,48262641,51441052,41242092,41242091,41242351,37988672,37988673,47904258,59298807,52915823,52915824,52915831,42506377,33507460,33507462,42506382,52915839,64840633,70997280,70997281,61848776,61848775,72121346,72121345,85706448,74641332,61848777,61848778,257674876,257674874,61848752,70489750,70489751,79021936,70489743,57789018,50364405,257675757,74641315,88271741,258283926,57789027,46433827,36569304,28098209,268198401,15015517,20922879,28098205,36569296,38069934,38069933,47982179,48695150,48695149,60091451,50008939,39990978,256014431,23825250,31314315,39990980,50008941,61487088,59102489,47704397,47704396,59102487,71841365,59102496,59102495,71841375,72121340,85706443,85427261,71841379,71841380,71841389,59102507,47704416,47704417,258097167,61487082,74264183,71841370,59102492,47704399,37783652,29222013,29222012,37783649,47704361,47704362,47704329,37783615,37783614,47704327,59102403,71841284,85427179,85427246,258097163,59102482,71841296,71841297,60091434,48695134,38773089,256982007,60091426,72828765,85427184,258097159,47704355,47704356,37783634,29222004,29222003,37783632,47704364,59102443,71841334,85427221,258720847,71841276,59102394,269800191,257487065,37783621,29221995,29221994,37783618,47704332,59102404,47704358,47704357,59102442,67697740,67697741,81163542,81163558,71841329,59102439,47704354,47704353,59102437,59102428,47704347,37783670,255870783,255870785,37783673,47704342,37783623,29221996,29221997,255870779,15825709,21906745,29221990,37783612,47704322,44613822,35232404,27137609,27137610,35232405,44613824,55462459,55462448,44613817,44613818,47704381,47704382,59102465,67803876,67697712,67697713,55357789,55357788,55462396,67803822,81271240,95330246,85427239,73507477,60758309,60758308,67808291,55466566,44617538,44617537,55466563,67808288,81275933,71841307,59102420,59102419,71841305,85427193,81271298,67803895,67803896,81271299,81275922,67808278,67808277,81275921,81275929,67808283,55466561,55466560,67808282,72853297,60116516,60116515,72853296,67834064,60116521,48721701,48721702,60116525,60762402,60762401,73511608,87130409,74551924,257723188,77609921,77609920,91539185,87130377,73511566,73511565,85772129,73511563,60762367,49359076,39429421,30825246,23397608,23397609,30825249,31631697,31631696,40320281,50346484,61830475,73511534,257513616,39429403,30825239,23397605,17125664,17125665,23397607,30825244,39429415,49359067,60762395,62997895,51318924,41135298,41135299,257728621,75980637,64188481,258218611,60762430,73511518,60762338,60762339,72853268,64188486,64188485,74251878,61473744,49996153,39979627,39979626,49996151,256981066,87856363,90704521,76834571,63731476,51922787,41999110,41999111,257777175,77335578,85772082,85772083,89759419,89759418,258123322,72676709,60116491,60116492,72853271,61473738,61473739,257561964,74251868,87856357,87130355,73511530,71462574,71462573,77335593,77335591,91255195,100241156,99725903,85772075,72177785,72177784,270839183,75980642,62997905,256590338,87856360,74251871,74251870,85771642,72177232,59438673,59438674,61670136,255457194,99725538,85771638,72177227,72177228,85771641,74551965,61768072,50288278,40266991,255229912,51598839,41373786,41373787,50288284,254897066,24074253,24074254,31579886,40266999,268277752,61768070,52170807,41847629,32919182,32919183,41135329,41135330,254629566,32919200,41847645,32919193,31579892,31579893,255225768,40267003,40267004,41847648,32919198,25205248,18641565,13254503,13254505,18641569,25205252,32919203,41847655,40738850,267776694,18021157,18021158,24434734,31989965,40738853,50288244,50288245,41847643,41847642,52170818,64002419,64002418,61768061,51318963,41135334,32321569,24706958,24074222,17717713,17717714,24074247,31579874,40266984,255230564,24074252,17717718,12534196,12534198,17717721,24074258,254291242,31579840,25702326,25702327,254897076,12534190,12534191,17717712,18307563,18307562,24790373,32415975,25154076,25154075,25205233,23148305,23148304,18380017,18380016,24877929,254429660,25205228,18641553,13254494,254110162,5909988,254198208,17717701,16751419,254199050,24881126,24881127,32524621,30405022,22999908,22999909,30405024,38994333,48918241,48906515,41781135,32860763,32860764,32904962,25193814,18632325,254627434,32904964,38994328,38994329,32442598,32442597,41281852,51496241,255626910,52162964,41841726,38961011,30375961,30375962,38961012,256053326,22974764,22974763,24629912,24629911,31187488,31187487,39170871,268131368,41841737,52162977,60271416,48879622,48879623,60271418,256053320,49982743,39966255,31291213,268275036,17471504,23804752,18638516,18638515,25201549,32914462,39939276,48238215,49890712,61371221,50420028,50420027,60271345,48879543,38960954,30375918,30375919,30827193,38960956,268693946,49361031,39431419,255982943,255982945,38233322,255492242,23745888,28848269,21576494,21576493,28848268,255934432,17471523,17127471,12036712,12036713,17127473,21576497,15553175,10757150,7107049,4474485,4474484,7107045,10757145,15553163,21576483,28848253,31229617,23745890,17420608,12278389,8292177,8292176,12278385,8509641,5510010,3398317,3398322,5510012,8509646,8932722,13106649,17738162,12550650,12550358,12550357,17737666,18450489,24970254,31599868,31599697,24095788,17737507,12550251,12550250,17737503,17737452,12550210,8509381,5509858,5509859,8509388,12550223,17737463,24095715,31599623,24095804,17737518,12550265,8509412,5509869,5509870,8509415,12550271,8509420,8509422,5509950,3398285,2003508,1145290,642460,356576,356577,642462,1145299,2003524,3398326,5510016,8509656,12550681,17738193,18450462,24096004,24096005,24095601,24095600,24096054,31600028,40284645,31601158,31601159,40286225,40284148,31599601,24095696,24095697,17737593,12550312,12550313,17737598,24095916,24095955,17737625,12550333,8509453,5509895,3398248,2003490,1145279,1145278,2003485,3398241,5509876,3398310,3398312,5510005,8509355,5509847,3398230,3398229,5509842,8509352,5509925,3398271,3398270,5509921,8509496,12550404,17737731,24096087,24096776,24096777,31601091,31600436,24096298,17737855,12550460,12550459,17737850,24096290,31600428,40285309,50305341,40284508,40283920,31599400,31599399,24095888,24095889,31599477,24095628,17737400,12550174,8509362,5509887,5509886,5509853,5509854,8509374,12550195,8509623,5509994,5509992,8433756,12465002,17640617,17738135,12550633,12550632,12550418,12550416,17737736,17737737,24096093,17738150,17738149,24096107,17737747,17737748,24096111,31599520,40284070,40283956,31599429,24095591,24095592,31599433,31600417,40285301,50306561,50304718,40284077,40283934,40283935,40284469,31599855,31599488,24095766,17737492,17737491,24095760,31599673,31599557,24095672,17737426,12550191,12550192,17737430,17738123,24096721,31601021,40286076,50307443,61784321,50304765,40284122,40284123,50304769,61784369,61570714,50090741,40069517,31386993,23890373,23890372,31386989,40069514,50090732,61570707,71138120,58416595,47041925,47041926,51738243,51738207,41469251,41469252,50305561,50305562,51668035,41425949,41425950,51668038,63411318,63411425,51668149,41426038,32565867,32565868,32565897,24913564,24913537,24913536,32565842,41425993,51668093,61788024,61788020,258035268,257647036,90285187,90285188,84752288,71183706,61784174,50304520,40283874,38454102,32565845,32565846,41425999,51668101,51668238,47083736,37188353,28667082,21420757,15429810,15429811,21420758,28667087,37188369,47083778,58461855,59511314,71138147,71138146,84574335,71010512,71010513,84574337,84752279,71183698,70347240,57656997,51647799,51647798,63390478,76434142,86634991,81218327,67751856,55411249,44563574,35185322,35185324,269194845,67751872,81218338,84840538,84840539,258060098,99802480,85850411,72259299,71268077,71268076,81015767,258009704,68136831,55738896,55738895,61224923,49745381,39726051,39726050,47147960,58536462,71268242,71268277,61224579,257170176,55202402,61592995,71268074,58540627,47152231,47152230,58540622,60295536,71931761,256487232,40092501,31412716,23923126,23923124,31412712,36534371,38979755,30392579,30392580,37242643,37242642,38979824,48901022,50112973,40092453,39725992,39725990,39726063,256865341,28665509,21419489,21419490,17252227,12132607,8162767,8162766,12132605,17252223,23563167,31047245,39726069,49744958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 254581, s2 = 14332060, dlinesl.size( ) = 2 s1 = 254581, s2 = 14332060, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 254581, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 7987455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7987455, s2 = 8448640, int(edited[s2]) = 0 s1 = 7987455, s2 = 8448640, d1 = 23, d2 = 135 Dl.O(d1) = 23825334,23825335,256519355 Dl.O(d2) = 125642928 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1363471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8201478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1936602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1937551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1937551, s2 = 13758945, int(edited[s2]) = 0 s1 = 1937551, s2 = 13758945, d1 = 72, d2 = 13 Dl.O(d1) = 50030548,50030549 Dl.O(d2) = 195465337,202327122,264828249,216740248,264489934,219962899,222682624,225017745,225017759,222682645,264747650,216740206,263883474,202327171,202327172,208095586,208095517,208095516,264203446,212851530,264489922,216740231,219962867,219962868,219962908,219962918,219962917,219962920,222682623,222682620,219962875,216740198,212851543,263526060,195465351,187442694,178223612,167776716,156180003,156180004,167776719,262211364,195465368,202327167,208095577,212851594,264489928,208095547,208095546,212851552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1937551, s2 = 13758945, dlinesl.size( ) = 2 s1 = 1937551, s2 = 13758945, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1937551, Dl.E( ) = 78, 2.1e-05 seconds used appending s1 = 14163400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163400, s2 = 1582140, int(edited[s2]) = 0 s1 = 14163400, s2 = 1582140, d1 = 1, d2 = 1 Dl.O(d1) = 7045197,4433872,2661980,2661981,4433874,7045202,255035069,21421387,28667817,37189108,28667769,28667770,32173610,24587533,24587534,32173612,40953138,39845620,39845621,49868166,61350193,71184585,70550665,70550666,58462633,58462634,256556614,58462643,268459544,72460077,59724274,59724273,71184595,61350197,61350196,61350198,61350199,71083873,59457749,268123060,29587532,29587531,38153813,255604228,72195501,257701232,84753203,98680477,99743338,113757695,258936492,116502542,258273074,74775188,74775187,88406898,102407259,102430159,88428627,74796596,74796584,62000155,256492046,31778850,24266307,17887601,12670109,8604360,8604361,12670111,17887603,255540980,256492050,50508744,256816801,28086450,20913248,15008096,15008095,20913247,28086449,36555480,46418686,57772503,70471941,62030702,62030703,258920109,62030599,62030598,50539045,258297319,62030607,50539057,40503892,31808483,31808484,40503878,50539043,40503953,256049371,17911437,254878131,8620277,8620272,8620271,12689667,17911425,24293489,24293491,31808507,40503926,50539113,61424176,62030627,50539076,40503905,31808494,24293482,17911422,17911423,24293484,31808499,40503914,50539093,62030652,62030655,62030656,71066007,58349679,46980278,46980279,58349680,61517065,50038190,40018760,40018761,43893499,54636390,66893776,71363804,74294705,61517071,50038195,40018765,31339544,23846884,255175197,8339091,12343310,17505123,23846891,31339554,40018780,50038216,61517102,258882761,101872550,87898289,74294738,258882759,101872553,115919655,129820581,142457078,129081636,115152507,115152508,126658066,130086113,143153272,141091045,141091044,153760842,261658040,153760839,141091041,127737414,127737413,141091037,146350651,158718915,158718917,164157365,271919518,260178660,259281579,70852588,58138466,58138467,70852589,84410070,98320040,112303149,126164030,128781693,114885859,100835592,86854789,73241980,257590749,23147257,30564498,39162067,49091841,60495116,73241981,86854791,73305005,60561162,60561163,73305004,73305003,86915569,100896426,114949283,128849998,114949281,114949280,128849997,261787741,166548191,177125396,186475704,194624967,201604299,207478568,212321515,212997563,208275539,273901445,187771361,273190627,156832524,144421997,131191308,260183549,89168927,75421328,62502324,50902026,40785474,32028867,32028866,24466747,24466748,32028905,40785522,50902027,40785476,40785477,50902029,62502325,75421329,89168929,103258830,117388064,131191309,144421999,156832525,168301357,178637502,187771365,195734074,198846179,191399947,182747086,259699516,171410378,160192526,257233320,121026297,106772472,106772471,121026296,270023624,147944019,160192527,171410379,181429285,190228621,197827271,204300693,209699933,263371166,220799484,223383776,225617847,227560818,229260597,230763308,265488556,234404629,265939130,232689526,231415985,229994484,265566084,224472900,222062320,219255677,215931886,264507950,207000397,201049239,193990270,185751702,273127075,153852410,262244481,261977786,72358295,59623645,48236764,38327016,38327014,48236762,59623642,258761405,99911313,113934298,127814326,141176744,153852408,165632677,176305037,185500043,176028729,165336681,153546283,140871196,127515856,113644260,99630459,85681271,85681270,259365759,72094686,59361267,47970520,38057711,256738624,255738760 Dl.O(d2) = 7045197,4433872,2661980,2661981,4433874,7045202,255035069,21421387,28667817,37189108,28667769,28667770,32173610,24587533,24587534,32173612,40953138,39845620,39845621,49868166,61350193,71184585,70550665,70550666,58462633,58462634,256556614,58462643,268459544,72460077,59724274,59724273,71184595,61350197,61350196,61350198,61350199,71083873,59457749,268123060,29587532,29587531,38153813,255604228,72195501,257701232,84753203,98680477,99743338,113757695,258936492,116502542,258273074,74775188,74775187,88406898,102407259,102430159,88428627,74796596,74796584,62000155,256492046,31778850,24266307,17887601,12670109,8604360,8604361,12670111,17887603,255540980,256492050,50508744,256816801,28086450,20913248,15008096,15008095,20913247,28086449,36555480,46418686,57772503,70471941,62030702,62030703,258920109,62030599,62030598,50539045,258297319,62030607,50539057,40503892,31808483,31808484,40503878,50539043,40503953,256049371,17911437,254878131,8620277,8620272,8620271,12689667,17911425,24293489,24293491,31808507,40503926,50539113,61424176,62030627,50539076,40503905,31808494,24293482,17911422,17911423,24293484,31808499,40503914,50539093,62030652,62030655,62030656,71066007,58349679,46980278,46980279,58349680,61517065,50038190,40018760,40018761,43893499,54636390,66893776,71363804,74294705,61517071,50038195,40018765,31339544,23846884,255175197,8339091,12343310,17505123,23846891,31339554,40018780,50038216,61517102,258882761,101872550,87898289,74294738,258882759,101872553,115919655,129820581,142457078,129081636,115152507,115152508,126658066,130086113,143153272,141091045,141091044,153760842,261658040,153760839,141091041,127737414,127737413,141091037,146350651,158718915,158718917,164157365,271919518,260178660,259281579,70852588,58138466,58138467,70852589,84410070,98320040,112303149,126164030,128781693,114885859,100835592,86854789,73241980,257590749,23147257,30564498,39162067,49091841,60495116,73241981,86854791,73305005,60561162,60561163,73305004,73305003,86915569,100896426,114949283,128849998,114949281,114949280,128849997,261787741,166548191,177125396,186475704,194624967,201604299,207478568,212321515,212997563,208275539,273901445,187771361,273190627,156832524,144421997,131191308,260183549,89168927,75421328,62502324,50902026,40785474,32028867,32028866,24466747,24466748,32028905,40785522,50902027,40785476,40785477,50902029,62502325,75421329,89168929,103258830,117388064,131191309,144421999,156832525,168301357,178637502,187771365,195734074,198846179,191399947,182747086,259699516,171410378,160192526,257233320,121026297,106772472,106772471,121026296,270023624,147944019,160192527,171410379,181429285,190228621,197827271,204300693,209699933,263371166,220799484,223383776,225617847,227560818,229260597,230763308,265488556,234404629,265939130,232689526,231415985,229994484,265566084,224472900,222062320,219255677,215931886,264507950,207000397,201049239,193990270,185751702,273127075,153852410,262244481,261977786,72358295,59623645,48236764,38327016,38327014,48236762,59623642,258761405,99911313,113934298,127814326,141176744,153852408,165632677,176305037,185500043,176028729,165336681,153546283,140871196,127515856,113644260,99630459,85681271,85681270,259365759,72094686,59361267,47970520,38057711,256738624,255738760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163400, s2 = 1582140, dlinesl.size( ) = 2 s1 = 14163400, s2 = 1582140, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163400, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10351537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351537, s2 = 9264813, int(edited[s2]) = 0 s1 = 10351537, s2 = 9264813, d1 = 11, d2 = 11 Dl.O(d1) = 156255959,143729418,130403614,116563607,102464492,88460606,258297325,31808524,24293501,17911433,12689672,8620275,5604371,5604372,8620277,8620272,8620271,12689666,17911423,24293485,31808501,257105005,62030663,70474974,62030651,50539092,40503913,31808498,31808499,257105003,62030656,74827164,88460567,102464454,112576798,98582955,84659492,71096500,71096501,71066008,58349679,58349678,61517065,257542620,40018760,31339543,23846884,23846883,31339541,40018757,50038188,41167169,32352103,255805634,255564669,12343308,8339090,8339091,12343310,17505123,23846891,31339554,40018781,50038216,61517101,258882759,101872553,260718399,141091045,141091044,153760843,153760840,142158029,142158028,154792054,143414166,139540007,139540006,152271895,164157361,165540610,261658040,153760839,141091041,127737414,127737413,141091037,146350651,158718915,158718917,164157365,271919518,260178660,259281579,70852588,258523933,55227854,55227853,67570937,81039809,95098273,109353068,259281581,70852593,58138471,46770882,46770880,58138467,258654805,98320039,112303148,112303149,126164031,128781693,114885860,100835592,86854790,73241980,60495115,49091840,39162065,30564496,23147255,16886763,11815787,11815788,16886765,23147257,30564497,39162067,49091842,60495116,73241982,86854791,73305006,60561162,60561163,73305004,73305003,86915569,100896425,114949280,128849996,261787741,166548192,177125396,186475703,194624967,201604298,207478568,264792105,212997565,212997563,212997564,212997566,208275541,202549256,195734072,187771361,187771360,187771363,178637499 Dl.O(d2) = 156255959,143729418,130403614,116563607,102464492,88460606,258297325,31808524,24293501,17911433,12689672,8620275,5604371,5604372,8620277,8620272,8620271,12689666,17911423,24293485,31808501,257105005,62030663,70474974,62030651,50539092,40503913,31808498,31808499,257105003,62030656,74827164,88460567,102464454,112576798,98582955,84659492,71096500,71096501,71066008,58349679,58349678,61517065,257542620,40018760,31339543,23846884,23846883,31339541,40018757,50038188,41167169,32352103,255805634,255564669,12343308,8339090,8339091,12343310,17505123,23846891,31339554,40018781,50038216,61517101,258882759,101872553,260718399,141091045,141091044,153760843,153760840,142158029,142158028,154792054,143414166,139540007,139540006,152271895,164157361,165540610,261658040,153760839,141091041,127737414,127737413,141091037,146350651,158718915,158718917,164157365,271919518,260178660,259281579,70852588,258523933,55227854,55227853,67570937,81039809,95098273,109353068,259281581,70852593,58138471,46770882,46770880,58138467,258654805,98320039,112303148,112303149,126164031,128781693,114885860,100835592,86854790,73241980,60495115,49091840,39162065,30564496,23147255,16886763,11815787,11815788,16886765,23147257,30564497,39162067,49091842,60495116,73241982,86854791,73305006,60561162,60561163,73305004,73305003,86915569,100896425,114949280,128849996,261787741,166548192,177125396,186475703,194624967,201604298,207478568,264792105,212997565,212997563,212997564,212997566,208275541,202549256,195734072,187771361,187771360,187771363,178637499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351537, s2 = 9264813, dlinesl.size( ) = 2 s1 = 10351537, s2 = 9264813, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10351537, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11656174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1938361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10184175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6564621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9228510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9228510, s2 = 941055, int(edited[s2]) = 0 s1 = 9228510, s2 = 941055, d1 = 18, d2 = 21 Dl.O(d1) = 256911338,31811820,24296423,24296424,31811823,40507688,40507689,39740524,39740525,31910256,24378717,17980144,12742606,8659634,5633191,5633192,254881671,17980151,16297492,11339293,7535345,7535344,10790304,7128942,6586330,6586331,9754337,10020588,14562329,15003773,14020351,11512900,7658581,7658580,11512878,16519749,11513595,7658996,4845937,2920154,1693920,1693919,2920149,4845928,7658973,9352958,9352957,13658468,19129219,16519719,11512859,11512862,16519727,16520604,11513539,11513537,7669869,7669868,11529530,16542679,13300563,9082201,9082202,10954917,15808821,254911188,14599652,11743052,11743053,16794836,23039547,30447208,29199046,29199045,254484064,27986255,27986253,20821475,254484062,36445709,36593412,28120327,20943005,15034516,15034517,20943007,28120331,36593417,46459607,57815694,70517029,84052140,270276197,70517029,84052141,70517033,57815696,46459608,36593419,36593418,36593413,256820751,57815681,70517012,84052113,258635103,270276195,84052151,84052145,84052146,97922796,97922795,111856978,111856977,111856978,259261735,70517005,70517008,84052106,84052117,70517014,70517013,84052115,97922797,111856987,111856986,97922794,97922793,97922806,97922807,84052131,70517024,70517025,84052134,97922812,111856996,125672803,111856990,111856991,97922808,97922809,97922816,84052150,84052149,97922819,97922811,84052129,84052128,97922809,84052142,84052143,97922817,111856997 Dl.O(d2) = 163594571,174435182,180877779,170736540,170736539,159386344,147003315,133753163,119882841,105644132,91418023,77487267,64323350,268256390,35240478,27143986,20235375,14520450,9991329,6566609,4113690,2460618,2460616,4113685,6485712,6485710,9872662,14366118,9872645,9872644,14366121,17258887,23570119,29494685,22155674,22155675,29494687,254244108,18588969,254364506,35240476,28769767,267898542,24005059,17659716,17659711,20052154,20052156,20051700,14366204,14366203,10912596,8356493,8356496,12366805,11096337,7417525,7417529,4687438,4687441,7417578,11179598,8132050,5210018,3178593,1860627,1860624,3178605,5210043,8132099,12092532,17196966,22091701,21823282,21823284,15984489,11096806,7359398,7359397,11096798,15718709,10881842,10881846,15718722,20066261,21167549,21167551,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,15758092,16034228,22154656,29493644,27143983,254974110,17131713,15986947,15986944,22095051,25775077,19134749,13663071,13663069,16590715,255143111,11958046,17045746,267960982,30196881,38781390,33149650,33149033,25408514,18817914,18817912,13916547,9551612,6267356,6267354,9551607,13916532,19447339,26144679,28489334,254402910,46864667,254185782,40035466,31355498,23861800,17517991,12353245,8346125,8044739,8044742,5162355,3145359,3145363,5162345,8068227,12003114,12003113,16078093,11995362,8068434,8050286,254105938,2710536,1570290,1570289,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827727,3126581,5140468,3188730,3188731,5142992,4761929,4761928,5139297,3146056,3146058,5105964,3099800,1811112,1034338,582838,582834,1034332,1811099,3099771,254567007,3102318,5109338,3103620,1848082,1054697,1054698,1848085,254384419,8056435,8027097,5116194,3107521,3107520,3132168,1831047,1831046,3132165,3107578,3107579,5116263,5154748,4762834,2871034,1666236,1666238,2871041,3112738,5107294,5109940,5109939,7529849,4763023,2871155,1826159,1826158,1836361,3140206,5156623,8063513,11986166,11986167,17024435,16288015,16288014,11939647,11939646,15086283,10405780,10405779,7522892,7522891,11326606,7527209,4760517,2869514,2869515,4760520,5166106,8072175,11981986,17070814,16285280,16285278,16287297,22455529,16288013,254378262,5602707,5602709,5110981,3103496,3103493,5110971,8022141,11975840,17066318,12014142,12014144,11973837,11973838,12017805,8077139,5172150,3153950,3153948,5172139,7117288,7523169,7523168,8077333,7116789,4480887,2692289,1559729,1559728,254130212,7116770,10771133,11530543,11530544,16544047,22755400,255050218,38720909,48638743,60031628,72768606,86365653,100325539,114352602,258704856,141583419,143707145,130381379,116543376,102446726,88445133,74812870,62016550,50524881,40489316,31794369,24280511,17899985,12679914,8611833,5597249,3473776,2060669,2060668,3473774,5597245,8611827,8611818,6984759,4388823,2629400,2629399,4388317,6983770,254617485,3473794,3473793,5597211,8611779,12679866,12679901,17899973,24280498,31794352,40489301,36721085,255028658,15105750,10418777,10418776,15105749,17814234,12612234,8560702,5557724,5557723,6868274,4310701,2577611,2577610,4310698,6868268,10418779,15105753,21031073,21031178,21031177,15106007,10418930,6868365,254717489,10418845,6868307,4310720,2577618,2577619,4310724,6868312,10418853,15105884,15106011,15105873,15105874,15108979,10421311,6870328,4312243,4312242,6870326,10421307,15108972,15105996,10418923,10418921,15105993,21031469,28228091,28228633,21031832,15106219,15106218,21031265,21031266,28227749,36721364,41739974,36721368,28227751,21985556,15889294,267971073,7291607,11014697,15889298,18747982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9228510, s2 = 941055, dlinesl.size( ) = 2 s1 = 9228510, s2 = 941055, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9228510, Dl.E( ) = 22, 1.5e-05 seconds used appending s1 = 14566779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13445357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9413805, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1583696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6770518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6886054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1940906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14883111, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9380000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9380000, s2 = 1941177, int(edited[s2]) = 0 s1 = 9380000, s2 = 1941177, d1 = 1, d2 = 1 Dl.O(d1) = 40072928,31391174,23896286,17550542,12380206,12380205,17550540,23896285,31391173,40072927,50093884,61573691 Dl.O(d2) = 40072928,31391174,23896286,17550542,12380206,12380205,17550540,23896285,31391173,40072927,50093884,61573691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9380000, s2 = 1941177, dlinesl.size( ) = 2 s1 = 9380000, s2 = 1941177, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9380000, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10340344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1942143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1728612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1942300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1942300, s2 = 14276419, int(edited[s2]) = 0 s1 = 1942300, s2 = 14276419, d1 = 8, d2 = 24 Dl.O(d1) = 50106193,256228864 Dl.O(d2) = 40036265,40036264,257652349,50119088,61598743,260860503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1942300, s2 = 14276419, dlinesl.size( ) = 26 s1 = 1943839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8308973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8091089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8146270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 123672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1945306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1945306, s2 = 11657169, int(edited[s2]) = 0 s1 = 1945306, s2 = 11657169, d1 = 0, d2 = 0 Dl.O(d1) = 61644173,50160426,40137401,31455890,23961689,17612883,17612882,23961688,31455889,40137399,50160425,61644170,67657644,55317938,55317939,258531619,75565599,62626840,51004090,40869181,32097417,24522195,18090812,14417817 Dl.O(d2) = 61644173,50160426,40137401,31455890,23961689,17612883,17612882,23961688,31455889,40137399,50160425,61644170,67657644,55317938,55317939,258531619,75565599,62626840,51004090,40869181,32097417,24522195,18090812,14417817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1945306, s2 = 11657169, dlinesl.size( ) = 2 s1 = 1945306, s2 = 11657169, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1945306, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1945632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1945980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6716474, s2 = 6603887, int(edited[s2]) = 0 s1 = 6716474, s2 = 6603887, d1 = 104, d2 = 92 Dl.O(d1) = 257653787,50190608 Dl.O(d2) = 256447770,47244708,58638163,71374832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6716474, s2 = 6603887, dlinesl.size( ) = 2 s1 = 6716474, s2 = 6603887, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6716474, Dl.E( ) = 142, 3.89e-05 seconds used appending s1 = 1947739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8038950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1739000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7952503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9659960, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2303012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1593507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1593845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1593845, s2 = 9100186, int(edited[s2]) = 0 s1 = 1593845, s2 = 9100186, d1 = 17, d2 = 15 Dl.O(d1) = 40225072,50245305 Dl.O(d2) = 58373474,47003337,37117439,28607700,21373160,15392330,10637645,254731682,1531441,868915,490085,275057,152065,83479,45662,45661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1593845, s2 = 9100186, dlinesl.size( ) = 2 s1 = 1593845, s2 = 9100186, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1593845, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 7567255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7567255, s2 = 8963783, int(edited[s2]) = 0 s1 = 7567255, s2 = 8963783, d1 = 29, d2 = 55 Dl.O(d1) = 268115856 Dl.O(d2) = 241140568,241573569,241974545,241974546,267106162,240781622,266881732,238531666,237840987,266554134,235337765,274723870,274273944,77594316,270835290,268493231,25484546,20884939,14982202,10314218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7567255, s2 = 8963783, dlinesl.size( ) = 40 s1 = 14539549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14539549, s2 = 6640175, int(edited[s2]) = 0 s1 = 14539549, s2 = 6640175, d1 = 7, d2 = 7 Dl.O(d1) = 257667850,40227702,256850526,17686505,255027674 Dl.O(d2) = 257667850,40227702,256850526,17686505,255027674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14539549, s2 = 6640175, dlinesl.size( ) = 2 s1 = 14539549, s2 = 6640175, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14539549, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 13250037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13250037, s2 = 3494663, int(edited[s2]) = 0 s1 = 13250037, s2 = 3494663, d1 = 15, d2 = 13 Dl.O(d1) = 30080493,38657556,33859822,26038467,19360548,13848118,13848119,19360551,26038471,33859827,255559680,33859793,26038442,26038443,33859795,42904995,37366569,37366568,47276555,47276573,41323109,33859814,26038458,26038459,33859816,42905008,53371074,61728508,257630772,40229889,31543564,24040284,24040285,31543566,256336729 Dl.O(d2) = 33309033,38804977,48725667,60120644,257057444,51655264,53801721,47851057,37931214,256919305,43276886,43276884,53801707,58668345,58668346,54616289,43873961,34603732,34603734,43873963,49717969,49717968,61196633,61301494,59375349,59375348,72107810,256874742,61320506,49837501,49837502,61320508,74103386,74103387,87709349,101683211,115728271,129624427,142951649,142951648,142951647,137353950,123621483,109427715,258997828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13250037, s2 = 3494663, dlinesl.size( ) = 2 s1 = 13250037, s2 = 3494663, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13250037, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 8289993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8289993, s2 = 6468453, int(edited[s2]) = 0 s1 = 8289993, s2 = 6468453, d1 = 73, d2 = 61 Dl.O(d1) = 254723481,254723483,15236831,17347322,12220295,12220294,17347320,23664790,31151974,39834442,255229476,21434387,15440213,10674484,7050527,4437775,4437776,7050530,10674489,15440217,21434391,28684017,37207894,47104533,37207887,37207886,47104531,58344274,257735286,257177768,63115737,60780946,60780945,67752239,55411668,47068460,256722518,34216660,26343113,26343114,34216662,26343116,26343115,21212751,15245275,15245276,21212753,25486895,25486896,255957798,28437927,21212747,21212746,28437924,268550276 Dl.O(d2) = 254864888,38996604,30407431,30407432,255581218,46815759,36937395,28437938,28437939,28438005,268608969 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1951151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1951151, s2 = 8015332, int(edited[s2]) = 0 s1 = 1951151, s2 = 8015332, d1 = 63, d2 = 108 Dl.O(d1) = 50277505 Dl.O(d2) = 255191719,5488533,3379252,3379251,5488527,8487506,12525675,17707608,22835815,30227447,29226943,21910936,15829036,10969490,10969491,15829040,21910944,16952607,16952606,23225878,30647680,39243379,39703807,31026627,23915326,23915327,29226965,29226966,255862558,255975024,256365943,29227014,29227008,21910995,15829072,10969517,10969518,15829074,15829101,15829100,21911050,21911048,255062335,7260864,4579179,4579177,7260861,10969534,7260889,4579194,2755050,2755049,4579187,7260877,10969561,15829143,21911112,29227120,37789011,31495552,23998163,17654037,17654036,23998159,20277317,255383974,23139548,30556980,30683330,30683329,27205209,27205210,28381226,23266495,23266499,30683343,30683336,29227043,29227044,23139556,16879268,11809155,11809156,9141808,9141809,13375323,18780025,25362754,23998390,23998391,31495740,23998351,17654176,17654177,23998354,31495747,40180354,31495592,23998206,17654064,17654066,12483095,8453587,8453586,255187951,23998231,31458841,23963799,23963798,31458839,31495858,23998463,23998464,23450433,17173929,12483204,8453669,8453670,12483207,17654238,23998376,23998318,23998319,17654156,12483149,12483150,12483141,12483140,17654138,23998312,25362750,33096296,31495772,23998369,17654187,17654188,23998371,255414732,256339984,39243290,39154581,38323787,30647497,23225619,16952326,16952327,23225622,23998348,30647508,30647509,31495729,23998337,17654161,17654162,23225515,254608666,254608664,23447584,23447583,30878126,39483687,49413488,47851068,37931234,37931233,47212940,37306344,37306345,47212942,39243284,39243283,40180506,40180504,255881398,60813736,49413493,39483689,30878130,30878131,30647498,255444620,30647626,23225800,267828922,16952510,11864943,11864944,16952515,23225797,30647624,23998294,23119843,23119844,30538768,39137859,268081616,37306347,28772551,28772505,28772504,37306306,47212886,58602162,47850964,37931021,29364600,29364599,37930684,37930683,47850743,59247385,256753096,255881324,30647619,23225794,23225795,30647621,28772548,28772547,37306340,47212938,49168634,39243309,39243310,49168638,58602161,47212884,37930689,37930686,37930687,30647208,23225256,23225257,30647210,39243098,49168517,255751774,268397898,20537972,14733504,14733505,267828918,15501556,15501557,21511025,25820044,19169798,19169797,23225677,255444558,30647120,37306283,28772470,21511038,15501574,10720288,10720287,15501571,11864815,7929530,5040739,5040740,7929533,11864819,16952385,23225672,30647530,30647478,23225591,23225374,16952103,11864585,7929381,5040660,5040661,7929383,6141395,6141394,9374938,254761876,5202939,8121322,12077380,10717376,7080734,7080733,10717371,15497143,21505051,16951738,11864269,7929188,5040561,5040560,7929184,11864262,16951726,16786892,11737529,11737532,15501633,15501634,11737604,11737603,7929403,5040669,5040670,7929408,11864638,11865026,16952599,21511064,22034043,22034044,23188397,16921893,16921892,23188393,21511074,19841710,19841712,16952113,16952114,17176986,12077422,8121337,5202946,3174308,1858246,1858244,3174300,5202935,7836589,11055981,11055980,7929207,7929205,11864302,16903292,11829184,11829186,16903298,14930655,14930656,20829245,27993582,28772443,28772442,22034354,15932928,15932930,16427080,16427082,22611288,29978020,30886382,30886381,39492824,49168496,39243233,30647416,23225496,23225497,29687763,38252880,38546851,37297419,28764232,28764233,29978010,29978009,38546847,48459073,47204027,39492835,39492836,39191345,30594050,23175321,16911070,16911071,23175324,30594056,37296810,28763552,256332235,29364845,23372156,23372155,28421882,21199141,15496026,10716474,10716472,15496022,21503716,16427022,11442343,7608852,4813626,4813627,7608856,11442352,16427038,17027844,23286903,30702608,23839048,17499060,17499062,23839052,22611165,16426999,16426998,22611162,29977887,37296795,28763538,21503700,15496008,15496010,21503703,28763542,32028702,32028703,29228844,28763551,28763550,25528570,18918783,13487257,9227638,6043583,6043585,9227643,13487266,18918794,17671771,12496566,11389717,7567022,7567024,11389724,16366441,16426995,16426994,11942935,7993695,5088387,5088386,7993689,11942922,17027857,23286924,30702628,256366096,35235101,27139724,20232276 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8015333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657526, s2 = 9028189, int(edited[s2]) = 0 s1 = 11657526, s2 = 9028189, d1 = 1, d2 = 1 Dl.O(d1) = 30361138,22959752,22959751,16723871,11682072,11682073,16723872,22959741,22959742,30361130,268963355,60259982,48866971,48866972,38947239,38947238,48866978,60259980,65228924,60259986,53240442,256680279,25950460,19286240,13787408,9453246,9453247,13787412,19286246,25950468,21672752,15635359,15635360,21672754,28953011,37495603,47403382,58790877,61979645,65228931,72995633,65228926,53240427,53240426,42789216,42789217,47403376,58790873,71520484,85092755,259075783,78518150,92564844,106884354,121152392,271081627,92564838,92564845,106884355,121152400,126859191,126859190,121152397,106884350,260320935,106884349,106884348,121152394,125404423,134962334,134962335,134962337,134962336,148085582,272407447,261043175,111605692,97687415,83829835,83829836,70304804,70304805,83829851,97687432,111605678,259243387,83829841,97687414,97687413,111605674,111605673,111605683,97687408,83829842,70304798,70304799,70304812,57614240,46269700,36417096,27959137,27959136,36417094,46269697,57614236,70304803,83829848,97687426,111605704,261246030,83829845,70304801,270270399,97687425,111605702,125404433,138727854,138727853,125404447,111605724,97687444,97687443,111605722,125404445,138727867,262118959,138727899,138727897,261043179,125404467,138727893,151423086,262923239,159228028,146854748,133597380,119723257,105484077,105484076,119723254,133597376,146854743,159228019,170565645,180696932,263712393,203841506,203841494,197282985,197282984,203841502,204355544,197894852,190314042,181534431,171534028,171534029,181534432,190314044,197894855,203841503,203841504,209316382,211822835,211822834,206887103,200912255,193830571,193830570,200912253,206887101,206887092,200912248,193830565,193830566,193830569,185570934,176106453,176106451,176106448,165424137,165424138,176106450,185570931,260483034,153643071,153643070,153643069,153643062,140975739,140975738,140975733,140975732,140975748,270793492,137348301,123615771,109421652,95165181,95165182,85789053,85789052,99742900,102168039,102168040,116228739,116228742,102168043,88177522,88177523,74562862,61779478,61779477,61779485,50300226,50300225,61779483,50300242,40280013,31595788,31595789,40280016,257671887,50300214,40280005,40280006,50300228,61779488,61779496,258903327,74562873,74562874,86834466,73221931,60475485,60475486,73221933,256560152,90924717,102168058,271401701,102168069,88177547,74562879,61779498,50300243,50300244,61779499,74562880,88177548,102168070,116228763,115060122,115060121,115060109,115060110,116417686,116417685,115060116,115060115,128985715,130254919,130254918,143583571,133829197,119961725,105726032,91501466,77570375,77570377,258903325,61779472,258280787,88177521,85852320,72261249,59527518,59527519,61760482,74543987,77570368,270910580,61760480,269879607,77570382,257591022,52528710,52528705,42170655,257200369,50280881,40259908,40259907,268445561,24066722,29664065,22311873,16165795,16165794,17718153,12534719,8496490,8496492,12534722,12587148,12573270,8527302,5525889,5525890,8527305,12573272,17767365,12639843,8582006,8582007,12639846,17802990,13440068,9189725,6015519,3762808,3762809,5530049,3433747,2030961,1163137,652709,361935,361936,652694,1163103,2030900,3429860,5544158,5569546,5506065,3394798,3394795,3427777,3764058,3416915,2017182,2000678,2000676,3394480,3764563,3764560,3763335,3763333,5527721,3453579,2060934,2060932,3474077,2254045,1308201,746837,424414,239591,239596,424429,746866,1308264,2254162,3762603,6015302,8535644,5533586,3419064,3419065,5533588,8535645,5572690,3456843,3456842,3417926,3417925,3419080,5533605,268003465,11818632,255134571,12578506,12578507,17773676,12583775,8536322,5534264,3419766,3419765,254610465,8490045,12528527,12583769,12583768,17732642,17780687,12583773,12583774,17780689,256038197,17780684,12583770,12583771,17780686,24076385,17719612,17719613,12608034,8556951,8556952,8575895,12630841,17720214,17720215,12582853,8552904,8552903,12520428,12520427,11815919,11815918,8496624,8496625,7896275,5017210,5017209,5553803,8535980,8535981,8498221,5499705,5499704,8498219,5575200,3458371,3458372,5508916,5508915,3419461,2019209,2019206,3419459,5533966,7897629,7897451,5018461,5018462,3458376,2050220,1175800,660033,660032,1175798,2050214,2019211,2019210,3419462,3419992,3396266,2002067,2002066,3396264,5507627,3448232,267849013,5522359,3409021,2049716,1175557,254137477,356701,356702,360730,650363,1159181,2025292,3427024,5541678,5492596,3382927,1992233,1138456,1138453,1992228,1181065,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1146068,254277051,2000287,1143337,1143336,2000285,3393854,3034589,2016067,2016066,3415346,3474181,3419223,254415241,254413277,254413279,254277687,1149484,644831,357842,357840,644824,1149449,1157981,2023496,3425017,3453151,3418687,267848069,8535004,5533132,3418681,3418682,5533134,7895545,11817469,8559180,8559179,255134457,11817467,16888698,23149396,16888699,12610451,12610450,17812265,24142208,256038011,37032347,31689415,31689414,37032352,46909386,40383075,31689412,31689411,37032348,37032349,258041821,258910649,61907892,61907889,61907890,58274425,46909383,46909384,58274427,70988837,74701396,74701395,88329161,102324996,116417680,126329577,112463444,107798878,107798877,122203996,130254916,143583567,139704202,126329581,112463446,260513741,122204004,136166678,261518279,152429420,152429419,143583565,130254915,116417678,260747007,143583564,149416543,136166694,136166693,139765483,136166696,122204005,107798882,93376905,259737197,122204002,136166691,261631327,126130858,126130857,126130862,126130859,112271856,98290221,84381303,70823285,70823286,84381305,84381317,84381315,93376902,90816347,76940410,63833071,258375831,79249737,65886059,53818077,53818076,65886056,79249732,79249738,65886061,53818080,43292805,257264253,53818079,43292804,34195087,26322454,26322455,34195089,43292807,53818082,65886062,65886075,79249748,79249747,79249746,79249725,65886053,65886052,79249722,79249721,258476389,53818096,43292818,34195094,26322458,255304227,9654212,9654211,14040894,19596069,26322457,34195093,43292813,34195096,34195097,43292822,43292809,43292808,53818084,61907900,61907899,50417489,40383086,40383085,50417488,61907908,74701409,74701413,74701423,61907926,50417503,50417502,50417511,50417510,61907912,61907913,74701403,61907905,61907904,61907921,50417499,40383094,31689422,31689421,40383091,47436706,37528894,37528895,47436700,37528891,28984601,28984600,37528889,47436696,58823290,71551414,85122191,85122192,85122193,99047060,113035490,113035498,99047065,99047066,113035500,126888556,140236561,152926602,164756712,175508055,164756710,152926599,152926598,164756708,175508074,175508062,175508058,175508059,273336861,164756707,152926597,140236557,261677061,164756702,175508064,185046674,193375913,193375922,200523627,200523628,200523634,200523633,206558606,206558605,206558608,206558599,200523620,193375906,193375907,200523622,206325181,200263428,193086278,193086277,200263427,200263431,193086281,184723325,184723324,193086280,200263423,206325178,263856358,184723318,175146134,175146133,184723316,184723314,184723313 Dl.O(d2) = 30361138,22959752,22959751,16723871,11682072,11682073,16723872,22959741,22959742,30361130,268963355,60259982,48866971,48866972,38947239,38947238,48866978,60259980,65228924,60259986,53240442,256680279,25950460,19286240,13787408,9453246,9453247,13787412,19286246,25950468,21672752,15635359,15635360,21672754,28953011,37495603,47403382,58790877,61979645,65228931,72995633,65228926,53240427,53240426,42789216,42789217,47403376,58790873,71520484,85092755,259075783,78518150,92564844,106884354,121152392,271081627,92564838,92564845,106884355,121152400,126859191,126859190,121152397,106884350,260320935,106884349,106884348,121152394,125404423,134962334,134962335,134962337,134962336,148085582,272407447,261043175,111605692,97687415,83829835,83829836,70304804,70304805,83829851,97687432,111605678,259243387,83829841,97687414,97687413,111605674,111605673,111605683,97687408,83829842,70304798,70304799,70304812,57614240,46269700,36417096,27959137,27959136,36417094,46269697,57614236,70304803,83829848,97687426,111605704,261246030,83829845,70304801,270270399,97687425,111605702,125404433,138727854,138727853,125404447,111605724,97687444,97687443,111605722,125404445,138727867,262118959,138727899,138727897,261043179,125404467,138727893,151423086,262923239,159228028,146854748,133597380,119723257,105484077,105484076,119723254,133597376,146854743,159228019,170565645,180696932,263712393,203841506,203841494,197282985,197282984,203841502,204355544,197894852,190314042,181534431,171534028,171534029,181534432,190314044,197894855,203841503,203841504,209316382,211822835,211822834,206887103,200912255,193830571,193830570,200912253,206887101,206887092,200912248,193830565,193830566,193830569,185570934,176106453,176106451,176106448,165424137,165424138,176106450,185570931,260483034,153643071,153643070,153643069,153643062,140975739,140975738,140975733,140975732,140975748,270793492,137348301,123615771,109421652,95165181,95165182,85789053,85789052,99742900,102168039,102168040,116228739,116228742,102168043,88177522,88177523,74562862,61779478,61779477,61779485,50300226,50300225,61779483,50300242,40280013,31595788,31595789,40280016,257671887,50300214,40280005,40280006,50300228,61779488,61779496,258903327,74562873,74562874,86834466,73221931,60475485,60475486,73221933,256560152,90924717,102168058,271401701,102168069,88177547,74562879,61779498,50300243,50300244,61779499,74562880,88177548,102168070,116228763,115060122,115060121,115060109,115060110,116417686,116417685,115060116,115060115,128985715,130254919,130254918,143583571,133829197,119961725,105726032,91501466,77570375,77570377,258903325,61779472,258280787,88177521,85852320,72261249,59527518,59527519,61760482,74543987,77570368,270910580,61760480,269879607,77570382,257591022,52528710,52528705,42170655,257200369,50280881,40259908,40259907,268445561,24066722,29664065,22311873,16165795,16165794,17718153,12534719,8496490,8496492,12534722,12587148,12573270,8527302,5525889,5525890,8527305,12573272,17767365,12639843,8582006,8582007,12639846,17802990,13440068,9189725,6015519,3762808,3762809,5530049,3433747,2030961,1163137,652709,361935,361936,652694,1163103,2030900,3429860,5544158,5569546,5506065,3394798,3394795,3427777,3764058,3416915,2017182,2000678,2000676,3394480,3764563,3764560,3763335,3763333,5527721,3453579,2060934,2060932,3474077,2254045,1308201,746837,424414,239591,239596,424429,746866,1308264,2254162,3762603,6015302,8535644,5533586,3419064,3419065,5533588,8535645,5572690,3456843,3456842,3417926,3417925,3419080,5533605,268003465,11818632,255134571,12578506,12578507,17773676,12583775,8536322,5534264,3419766,3419765,254610465,8490045,12528527,12583769,12583768,17732642,17780687,12583773,12583774,17780689,256038197,17780684,12583770,12583771,17780686,24076385,17719612,17719613,12608034,8556951,8556952,8575895,12630841,17720214,17720215,12582853,8552904,8552903,12520428,12520427,11815919,11815918,8496624,8496625,7896275,5017210,5017209,5553803,8535980,8535981,8498221,5499705,5499704,8498219,5575200,3458371,3458372,5508916,5508915,3419461,2019209,2019206,3419459,5533966,7897629,7897451,5018461,5018462,3458376,2050220,1175800,660033,660032,1175798,2050214,2019211,2019210,3419462,3419992,3396266,2002067,2002066,3396264,5507627,3448232,267849013,5522359,3409021,2049716,1175557,254137477,356701,356702,360730,650363,1159181,2025292,3427024,5541678,5492596,3382927,1992233,1138456,1138453,1992228,1181065,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1146068,254277051,2000287,1143337,1143336,2000285,3393854,3034589,2016067,2016066,3415346,3474181,3419223,254415241,254413277,254413279,254277687,1149484,644831,357842,357840,644824,1149449,1157981,2023496,3425017,3453151,3418687,267848069,8535004,5533132,3418681,3418682,5533134,7895545,11817469,8559180,8559179,255134457,11817467,16888698,23149396,16888699,12610451,12610450,17812265,24142208,256038011,37032347,31689415,31689414,37032352,46909386,40383075,31689412,31689411,37032348,37032349,258041821,258910649,61907892,61907889,61907890,58274425,46909383,46909384,58274427,70988837,74701396,74701395,88329161,102324996,116417680,126329577,112463444,107798878,107798877,122203996,130254916,143583567,139704202,126329581,112463446,260513741,122204004,136166678,261518279,152429420,152429419,143583565,130254915,116417678,260747007,143583564,149416543,136166694,136166693,139765483,136166696,122204005,107798882,93376905,259737197,122204002,136166691,261631327,126130858,126130857,126130862,126130859,112271856,98290221,84381303,70823285,70823286,84381305,84381317,84381315,93376902,90816347,76940410,63833071,258375831,79249737,65886059,53818077,53818076,65886056,79249732,79249738,65886061,53818080,43292805,257264253,53818079,43292804,34195087,26322454,26322455,34195089,43292807,53818082,65886062,65886075,79249748,79249747,79249746,79249725,65886053,65886052,79249722,79249721,258476389,53818096,43292818,34195094,26322458,255304227,9654212,9654211,14040894,19596069,26322457,34195093,43292813,34195096,34195097,43292822,43292809,43292808,53818084,61907900,61907899,50417489,40383086,40383085,50417488,61907908,74701409,74701413,74701423,61907926,50417503,50417502,50417511,50417510,61907912,61907913,74701403,61907905,61907904,61907921,50417499,40383094,31689422,31689421,40383091,47436706,37528894,37528895,47436700,37528891,28984601,28984600,37528889,47436696,58823290,71551414,85122191,85122192,85122193,99047060,113035490,113035498,99047065,99047066,113035500,126888556,140236561,152926602,164756712,175508055,164756710,152926599,152926598,164756708,175508074,175508062,175508058,175508059,273336861,164756707,152926597,140236557,261677061,164756702,175508064,185046674,193375913,193375922,200523627,200523628,200523634,200523633,206558606,206558605,206558608,206558599,200523620,193375906,193375907,200523622,206325181,200263428,193086278,193086277,200263427,200263431,193086281,184723325,184723324,193086280,200263423,206325178,263856358,184723318,175146134,175146133,184723316,184723314,184723313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657526, s2 = 9028189, dlinesl.size( ) = 2 s1 = 11657526, s2 = 9028189, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657526, Dl.E( ) = 2, 2.22e-05 seconds used appending s1 = 1596120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6660253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6650150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6650150, s2 = 10996074, int(edited[s2]) = 0 s1 = 6650150, s2 = 10996074, d1 = 13, d2 = 20 Dl.O(d1) = 256947655,24167023,256035547,17746699,12557033,8513574,8513573,12557032,17746697,256035545,40290332,50311381,257072396 Dl.O(d2) = 29485207,29641438,29641434,22289809,22289808,28595565,21363022,21363021,28595563,28595783,21363200,15384328,15384327,21363196,28595778,29575835,30840613,23410913,23410907,17135838,255983803,39444901,39444908,39444909,33332431,25572757,18963829,18963830,25572760,33332433,42312743,46987840,37103457,28595785,21363204,15384330,10631571,7017810,7017811,10631573,15384334,21363209,28595790,37103469,37103460,28595787,21363207,21363208,28595788,37103462,257205847,64554274,64600551,257269482,52654595,52654594,58357443,268727158,37169378,37169379,258059841,47013441,47013440,47013438,256327184,28615186,37126313,258049725,84664798,71875611,269517848,37816388,29251157,21930392,15843384,10979281,10979285,15843393,21930403,21930533,16027920,16027921,21930338,15843552,10979392,10979393,15843555,255873071,37816155,47738563,37816584,37816436,37816435,29251306,29251307,37086529,28581816,28581818,28581773,28581774,33666740,28581836,28581751,21352115,15375917,15375918,21352118,15843488,10979341,7267145,7267148,10979348,15843498,21352090,15375904,267963116,10625018,15375906,21352093,15843402,11128556,7381377,7381376,10979388,15843108,268217921,15843432,16027899,11128552,7381374,4663284,4663285,7381375,11128555,15843109,21930039,29250771,21930154,21930155,21930587,15843547,10979384,7267162,7267161,10979381,15843542,21930581,29251044,23382577,22228493,21352194,16094621,16094622,16094614,11178833,7417175,7417176,11178837,16094620,15843430,15843431,21930206,19203355,13715599,9394574,6154698,3850932,3850933,6154702,9394578,12025230,17112103,15843449,10979317,7267129,4582892,4582893,7267131,10979322,15843456,256368213,29250963,21930196,21930197,29250915,29485221,29250991,29250990,31070559,23586922,23586921,31070556,29251019,21930252,15843282,10979219,7267080,4582873,4582872,7267079,10979216,15843275,15843350,10979260,7267101,4582881,4582883,7267109,10979274,12025225,8084593,5180067,3160643,3160644,5180071,8084603,12025248,12025501,8084783,7865189,7384523,7384522,11132826,16033477,16137335,11210049,11210050,7438063,4699970,4699972,7434480,7434479,5180155,5180156,8084737,12025202,12025201,16137357,11210065,11210067,16123505,11200174,7438079,4699977,254100004,7434412,4697848,4697844,4699960,4699961,7433955,4697621,4697622,7433973,11203499,11210137,7438139,4700024,4700023,7438135,11198716,7430731,4695556,2831632,1642836,1639655,1639656,1639661,2826077,4651376,2801746,1625221,1625219,2801741,4651369,4651388,4651392,4697896,2833021,2833023,4702649,7442718,7363794,7363792,11104029,7431640,4696089,2829450,1641660,1641658,2829449,1643231,934399,526599,526600,934401,1643235,2832345,2833027,254165866,7442739,11180482,254236694,2824667,1638921,932018,525354,254123512,1638917,934567,254353115,7442692,254766298,255452108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6650150, s2 = 10996074, dlinesl.size( ) = 8 s1 = 8092690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8092690, s2 = 11032752, int(edited[s2]) = 0 s1 = 8092690, s2 = 11032752, d1 = 18, d2 = 28 Dl.O(d1) = 36968757,28470172,255583662,46847599,40305690,40305689,50331784 Dl.O(d2) = 259065482,257819714,42399384,255687186,13675654,9365312,9300099,6092137,6092133,7420384,9320122,13581658,13630260,19008358,25622867,255693100,31514812,31514813,31409859,23919964,23919965,254508730,26648030,26648029,23914751,17572184,17572183,23896980,23908400,23158445,16897115,11826061,11826060,12264315,8282266,7902645,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,9244816,6054880,5023686,3040797,3040795,5023676,3319947,1952941,1952939,3319954,5399447,8365864,254727800,8286806,254844473,17412829,23350267,17082964,11995192,8046978,6862426,4306809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8092690, s2 = 11032752, dlinesl.size( ) = 2 s1 = 8092690, s2 = 11032752, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8092690, Dl.E( ) = 30, 7.15e-06 seconds used appending s1 = 10351001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351001, s2 = 7051048, int(edited[s2]) = 0 s1 = 10351001, s2 = 7051048, d1 = 33, d2 = 24 Dl.O(d1) = 258892994,259287778,256531419,255182455,8405438,5423860,5423862,8405442,12436775,17618746,23968570,18952297,255267320,6056971,6056973,8385066,5410944,5410942,8385056,12283639,8295651,5351677,3289096,3289094,1960578,1119989,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,8364376,8285854,8285856,12256707,12409077,8387980,5412722,3327221,1956674,1956672,3327213,5342378,3283592,1931160,1103238,1103239,1931165,3283607,3283619,5339804,3282176,3282178,3404889,3404888,256036285 Dl.O(d2) = 261854595,167653283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351001, s2 = 7051048, dlinesl.size( ) = 28 s1 = 3920946, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1954612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1954612, s2 = 1848310, int(edited[s2]) = 0 s1 = 1954612, s2 = 1848310, d1 = 1, d2 = 6 Dl.O(d1) = 50355444 Dl.O(d2) = 256939402,48121980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1954612, s2 = 1848310, dlinesl.size( ) = 2 s1 = 1954612, s2 = 1848310, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1954612, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 15156951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 758553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 758553, s2 = 9368587, int(edited[s2]) = 0 s1 = 758553, s2 = 9368587, d1 = 34, d2 = 37 Dl.O(d1) = 19287258,13788293,9453964,6198271,6198270,9453962,13788290,19287254,25951625,29638376,38205012,39865127,49887299,256973728,255931466,33113524,42062455,43353077,268396912,26375847,34253054,43353079,43353095,43353096,38317548,38317547,29748569,22388661,16229701,16229700,255909019,38317562,256181188,59613086,48227053,38317540,33151323,25410717,25410718,33151325,25959859,25959858,32458809,24821171,24821170,32458807,41301502,34622811,26633624,26633623,34622809,269173477,256038337,40354014,257676429,70746173,58031852,46659190,46659189,58031850,70746169,84297954,259893061,112157360,98194495,84298071,258023089,257413049,36773984,28278229,21074062,15137749,10440478,10440477,255378817,28278219,256833871,58031871,70746199,84297992,70746545,58032067,58032068,70746547,84298596,98195193,98195238,98195241,92359105,78325529,78325528,92359104,98194540,98194561,84298112,70746267,70746268,84298119,98194567,260495049,130294725,120916356,106663448,92359079,92358993,78325447,78325446,84298087,70746255,58031901,46659216,46659217,58031903,70746257,84298090,98194525,112157378 Dl.O(d2) = 42614652,42614653,53062526,65045577,78325558,91261580,91261579,91280818,77360985,64213819,257447012,42026677,52364793,256633754,255656050,19185849,14527469,9996118,6569597,6569598,9996122,11646257,11646256,13351650,9384545,9127956,5973318,5973319,9127961,9917655,6994496,6994495,6569716,6569715,9996277,14527617,20245377,24506689,32080448,40852397,256063954,75547707,81297425,91268385,258946430,84596293,71031837,71031835,71031834,258669911,84596315,84596282,71031857,71031823,71031822,58315966,46949052,46949051,257518582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 758553, s2 = 9368587, dlinesl.size( ) = 28 s1 = 1599740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8141565, s2 = 11657081, int(edited[s2]) = 0 s1 = 8141565, s2 = 11657081, d1 = 9, d2 = 7 Dl.O(d1) = 22426286,22426289,29792010,29792007,38364605,48275973,59663748,72399516,77346337,64198960,64198961,64199324,64199322,77072723,63957974,63957973,52136977,41820948,32897735,25188041,18627832,13243412,9032954,5900792,3685933,3685934,5900744,5900745,9032857,13243246,254635898,5900799,5900800,9032962,9032959,9032960,13243419,18443367,18443366,24961542,25188058,25188057,32897759,41515546,41820980,41820984,32897766,32897765,41820982,52137014 Dl.O(d2) = 31364026,23869609,17525246,12359416,8350792,8350791,12359415,17525244,23869604,31364021,40044237,40044232,40044231,50063627,50063632,46527346,36659879,28183403,28183404,36659880,37028913,28530862,28530861,37028910,46906116,49306588,256531363,23967544,17617496,17617497,23967546,31353586,29455630,22121613,22121612,28732335,28732334,27216420,20288099,14558056,14558057,20288101,22814339,16595875,11574454,7704214,4875902,2938022,2938020,4875898,7704206,11574438,12435509,8404538,5423314,3333951,3333952,5395319,3323920,3323919,5406819,8377990,12397025,17568716,23911753,23733665,17562706,17562705,17409201,12268902,12268901,17409200,23733900,31218101,31206707,31206708,39885951,49906708,255821622,87772302,99310684,99310678,85365640,71775786,59033294,47631124,37708819,37708818,47631123,47631151,47631150,59033322,71775817,75677887,62731789,62731790,75677889,86535264,100494050,100493914,86535095,258181277,60197493,72936780,86535094,100017217,86053930,72455268,59719100,48333937,48333936,59719095,60197518,60197502,60197500,48800781,48800782,49783914,60197625,48800699,38878328,30292378,30292379,38878308,48800680,60197603,60197614,48800692,38878323,38878324,48800693,60197616,48800783,38878388,30292417,22894041,16664319,16664320,22894042,30292419,38878391,48800788,44954543,256243123,27343204,35494001,44954541,55906335,48800721,48800720,60197487,48800612,38878273,30292351,22894002,16664301,16664300,22893999,30292348,268961761,48800587,48800581,38878252,30292334,30292333,38878250,48800576,40366981,31672231,31672230,40366979,50402386,40367592,31672897,31672896,40367590,50403002,61893544,72485881,72486005,60197455,257094163,40367582,50402997,61893537,72486003,59751661,59751662,48369172,48369173,48369067,38467577,29909988,29909987,256957613,257537857,35120582,35120583,29909981,256415263,48369049,55801260,44871938,44871939,44871602,35432816,27300380,256241895,44871604,55800962,68228472,81753398,87846994,87846346,74241495,74241494,254401430,74242213,61463543,49986006,39969955,31295583,31295584,23809713,17476144,17476143,15573787,10772915,7118069,7118070,268101640,22132814,29468069,255528624,26895054,20013563,255736551,31678531,40371972,50406924,55202317,44351786,257301821,59340272,47948799,38035172,29472436,29472435,37417923,28876321,268618381,34974276,44351785,55202314,58715489,256477100,47944440,38030586,38030585,47944436,256477098,44351791,44351792,37417927,37417926,47326493,256603358,40371970,40371969,50406922,61897394,72074404,85019261,77142941,77142940,91047746,77142929,64012134,64012135,256090496,256090494,257156230,77142939,256603366,77142943,64012144,52178784,41854350,41854349,52178782,64012140,77142938,72932645,269471852,39321136,30723083,30723085,39321139,49247861,48796476,38874155,268961681,60193260,72932639,71601150,58881157,47501822,37597906,29049986,29049987,37597909,257474729,71601153,72732782,74780983,61984901,61984902,74780984,258894188,88068629,88068628,91311239,91311240,260266165,77392260,71601176,58881192,258084667,258708287,71601180,71601179,259022346,87031853,73414373,64241426,64241425,71601174,58881191,257191158,37597934,47501854,47501855,58881189,58881188,71601172,71601170,58881187,47501851,37597930,37597931,37597892,256121096,29050025,256121098,15701691,21756047,29050031,268142144,58881180,71601166,58881193,269791823,85166335,85166334,258639813,58881140,47501810,37597900,37597901,47501812,258084657,58881170,58881171,59441170,59441169,72179724,72887160,60248082,48855473,38936290,30350468,22948826,16712065,11670527,7779873,7779872,4930800,4930799,7780010,11670734,16712301,16710536,11669434,7779165,7779166,11669440,11670255,16711702,13648803,9346239,6121747,6121749,9346247,13648816,16629625,17175069,17175068,23451957,30883524,39489717,37702196,256443926,36561337,46425534,36561338,36561339,39938993,269396231,270341982,61433582,57780529,57780528,61433586,61433585,70480797,84014777,71043126,58327624,58327621,258046651,71043125,71043123,60147001,48752709,38832619,30249051,30249050,37079682,28575711,28575710,256857711,37079662,37079661,46960324,48752703,257568367,258800257,84607016,71043120,71043122,58327641,46960339,37079672,37079671,46960338,58327639,71043136,270288926,46960319,37079656,28575693,28575692,268917321,58327613,46960333,37079669,37079670,46960336,58327611,58327610,71043115,71043132,258670949,71043133,71043134,258046649,46960323,37079658,28575695,255398415,15371515,17019592,17019591,255973919,39290004,49216643,258208179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8141565, s2 = 11657081, dlinesl.size( ) = 2 s1 = 8141565, s2 = 11657081, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8141565, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 10355607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355607, s2 = 11660357, int(edited[s2]) = 0 s1 = 10355607, s2 = 11660357, d1 = 51, d2 = 45 Dl.O(d1) = 263643380 Dl.O(d2) = 224914443 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8204747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8204747, s2 = 1956417, int(edited[s2]) = 0 s1 = 8204747, s2 = 1956417, d1 = 13, d2 = 1 Dl.O(d1) = 61898340,50407784 Dl.O(d2) = 50407783 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6566907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6566907, s2 = 7087251, int(edited[s2]) = 0 s1 = 6566907, s2 = 7087251, d1 = 44, d2 = 36 Dl.O(d1) = 256040267,40381954,50416418,61906903,74700525,88328310 Dl.O(d2) = 262366452,262835535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6566907, s2 = 7087251, dlinesl.size( ) = 20 s1 = 13443673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13443673, s2 = 8239430, int(edited[s2]) = 0 s1 = 13443673, s2 = 8239430, d1 = 17, d2 = 19 Dl.O(d1) = 46691223,36807369,28310548,21100509,21100508,28310546,33627758,25825784,25825785,33627760,42656615,53108503,65095398,269772415,46691213,46691214,39727689,39727690,256007734,53108579,42656726,33627899,33627900,42656730,33755952,33755951,39727008,31048069,31048068,33627762,33627761,31048812,23564571,17253349,12133679,254578463,3194371,3194372,5233782,8163860,12133683,17253359,23564586,255995043,17253272,17253271,23564455,24605426,32193751,31048632,23564396,23564397,24086212,31590192,33628054,25826072,19174543,13692538,13692537,19174538,25826068,29544143,22200947,22200948,29544145,38107343,31048705,23564470,23564471,23454537,23454538,25825875,19174396,19174398,25825876,25825787,25825786,33613515,33613514,42639640,53088163,65070942,78349802,92381953,86855809,73243054,60496288,60496289,73243040,73243041,259446433,70399981,257389263,36498624,46356712,57705989,70399980,83926154,70399965,70399966,269367144,86855797,86855798,100131732,258777105,48445969,256420865,268643369,48445972,258777107,86166004,259002110,70399996,83926180,72567825,59832377,256963547,29971210,29971211,256963549 Dl.O(d2) = 40406265,267746666,31688688,39852239,39852240,49874047,61355458,267756566,67746941,254417628,44559069,50415957,50416768,254299674,27091801,20193027,14488624,14488625,20193029,27091803,267811552,55406820,61776100,61776099,74559617,61777122,50297635,40277179,268004136,17731915,17731916,24089490,31592847,24180040,24180039,31688679,40382343,40277183,31592850,24180051,24180052,254871980,40382351,31688687,254417626,12609908,254612840,5555388,8558593,12609912,254871970,31688697,256040288,17811693,12609915,12543794,8503174,8503175,268116693,256042282,8558571,254417619,2035265,1165793,1165792,2035263,3439683,5555370,8558557,12609872,17811635,24179992,255581990,31688669,24180033,17811674,12609895,8558578,5555380,5555379,254871979,17811671,24180029,27289180,20354437,20354438,23041798,16796834,11744459,7841188,7841192,11744471,16796849,23041820,24088062,20151114,14455507,14455506,12544196,12544197,17730634,12546609,8505884,8505885,6535709,6535710,9944065,14453797,20148962,27041851,268445384,255196130,255196128,35129681,27043672,255580858,9945096,9945097,14455498,14455224,254869546,20150769,20150770,22665195,27041878,20148989,14453817,9944082,6535716,6535715,9944077,11593606,16620978,18534555,18534554,255086456,31595310,24091846,17734150,17734149,24091844,31595308,40279576,35129678,31587524,31587525,40274003,38821194,268263178,44506507,255195834,31646776,35128703,27041842,27041841,24091835,257088743,30237905,30237904,31595292,24091832,254798088,12547452,17734140,22850288,20818098,14921112,14921111,20818096,27982157,255193372,48017489,59404422,50299874,40279585,31595321,24091852,24091851,31595317,255902916,27982163,27982164,255902918,70328655,83853816,71653733,60135914,48741274,256997952,31726505,255509486,46583559,36697060,36697061,267793072,16071921,11160477,11160478,254370014,29544149,29544156,22200956,22200954,29544154,38107355,48017500,55443382,47548764,37642496,29092310,21796062,15736819,15736821,21796066,29093836,37643556,47549513,50407485,256941502,58021843,70736426,84288267,85223411,71657991,71657990,84453582,84453600,84453601,98362983,259446730,114926062,107606707,93206301,93206300,79243816,259105569,107793985,107793986,114682810,259375758,86664918,93371728,93371727,86664908,73059709,73059711,86664912,100637854,260593490,100637862,86664920,73059718,60318636,60318635,73059717,73059712,60318631,258187027,85819010,85819009,259993731,261226924,92678625,78624096,65327329,53329619,42868287,42868288,48433923,38526005,38526004,48433920,59819956,48919997,48919996,38996109,30406858,23001797,23001798,30406860,38996112,48920010,48920002,256395902,30406857,38996107,38996102,30406853,30406854,38996103,42311449,52698450,64599109,77781987,77781986,258755402,113082397,100119903,86153587,72555301,257542851,48433910,59199899,71939274,257518098,48920000,60318622,258810251,98157677,86447096,86447097,100403592,259978914,72011806,270834685,100637844,90770326,77771794,258206542,77771796,257018300,49196521,49196522,52688480,42301715,42301716,52688483,52688459,52688460,42301725,42301723,52688492,256903080,64589000,256361348,42301652,42301651,257083852,77771776,77771813,64588999,64588998,52688476,52688475,64588996,77771812,89594812,75812366,255432068,52688430,42301664,42301663,52688429,48445577,48445578,59831927,59831892,59831891,72567372,72358331,59825007,48438997,38530834,29965006,29965008,30277526,30277525,268658864,60176659,49985570,49985571,61463263,74242045,87846762,85499525,77584884,77584885,91515925,85499530,71914435,71914434,85499529,99441183,91515922,260277601,119974147,112683991,258247360,71194032,71194033,77584886,258009418,98689553,85499531,71914437,59176566,58472494,58472495,58472497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13443673, s2 = 8239430, dlinesl.size( ) = 14 s1 = 13657335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10190151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8082306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8082306, s2 = 5604240, int(edited[s2]) = 0 s1 = 8082306, s2 = 5604240, d1 = 48, d2 = 44 Dl.O(d1) = 88333509,256994804,50422439,256994802,88333508,86568112,72969982,72969983,86568114,100529225,114559955,128444061,141797339,154444318,166179911,263581423,201404064,264529545,216159467,219455867,222240453,224630769,224815347,265140166,216439186,212508163,207700500 Dl.O(d2) = 274443244,265426128,223782708,221289258,218378290,214914167,210703762,205549397,199317668,263383468,173596452,183390253,191952203,199317680,199317688,199317690,205549418,210703783,214914191,218378325,221289299,223782717,223782715,225944051,227829678,225944062,223782737,221289282,218378306,214914178,214914179,218378308,221289285,223782740,225944066,225944080,223782761,221289303,264896168,214914195,218378334,221289306,221289272,218378301,218378300,265034462,225944055,265596070,265493374,221289259,221289260,274010282,210703776,205549415,205549413,264385966,264424507,264925269,221289278,223782731,225944059,227829688,265942494,229485758,266251140,264276720,207006875,201058098,194001208,261820908,141191515,141191514,153866671,165646317,176317726,185763803,194001222,201058119,201058101,194001210,185763794,176317721,165646314,153866669,141191513,127829359,258245238,85969035,268675766,48252741,38342142,38342143,48252726,255163714,49864593,254397848,23670713,254183808,23674880,31163365,31163363,254267326,23669492,23669493,254267406,31163542,23675026,23675027,254397898,39841509,254267342,254134258,23670637,23670638,31158757,254183772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8082306, s2 = 5604240, dlinesl.size( ) = 20 s1 = 8204897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6625909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6625909, s2 = 14030176, int(edited[s2]) = 0 s1 = 6625909, s2 = 14030176, d1 = 1, d2 = 1 Dl.O(d1) = 42253892,269023684,77719945,258439030,74728830,256672158,40410785,31719093,31719092,26116129,19422861,13896437,9535879,9535880,13896439,19422865,17522146,12356753,8348722,5388521,5388523,8348732,5573611,5573612,8578020,12633686,17840738,254801288,24215187,23124776,21927418,15841095,10977576,10977575,15841091,12360252,8351378,8351381,12360254,17526316,21520431,23007793,21760799,15705471,15705472,14092038,254538266,23245084,16978561,11891717,11891716,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,14095079,19663705,23391098,30819894,30446698,254168556,17119808,12030718,8088005,8088006,12030723,17119822,22873202,16645117,16645116,17317225,23633211,31119779,31636552,24129457,24129455,22779995,16564643,11546742,7682192,7682193,11546747,11546828,11546830,9688199,9688197,14084800,11837028,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,8087551,12029963,17118798,12034045,8090131,5183131,5183132,8090133,12034048,12034061,8090148,8090149,12034062,17124211,23396129,28623296,21385852,17747181,15576746,15576747,21605085,28724822,28724821,37256348,47161662,58550261,71281732,84855244,98781547,112770999,100245694,86281513,72682398,59943413,48551240,38636803,30062767,22685297,16486138,11486663,7640042,4833578,4833579,7640043,11486664,16486139,22685298,30062768,32535545 Dl.O(d2) = 42253892,269023684,77719945,258439030,74728830,256672158,40410785,31719093,31719092,26116129,19422861,13896437,9535879,9535880,13896439,19422865,17522146,12356753,8348722,5388521,5388523,8348732,5573611,5573612,8578020,12633686,17840738,254801288,24215187,23124776,21927418,15841095,10977576,10977575,15841091,12360252,8351378,8351381,12360254,17526316,21520431,23007793,21760799,15705471,15705472,14092038,254538266,23245084,16978561,11891717,11891716,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,14095079,19663705,23391098,30819894,30446698,254168556,17119808,12030718,8088005,8088006,12030723,17119822,22873202,16645117,16645116,17317225,23633211,31119779,31636552,24129457,24129455,22779995,16564643,11546742,7682192,7682193,11546747,11546828,11546830,9688199,9688197,14084800,11837028,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,8087551,12029963,17118798,12034045,8090131,5183131,5183132,8090133,12034048,12034061,8090148,8090149,12034062,17124211,23396129,28623296,21385852,17747181,15576746,15576747,21605085,28724822,28724821,37256348,47161662,58550261,71281732,84855244,98781547,112770999,100245694,86281513,72682398,59943413,48551240,38636803,30062767,22685297,16486138,11486663,7640042,4833578,4833579,7640043,11486664,16486139,22685298,30062768,32535545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6625909, s2 = 14030176, dlinesl.size( ) = 2 s1 = 6625909, s2 = 14030176, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6625909, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10148045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2964406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1603572, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9672834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9672834, s2 = 9378419, int(edited[s2]) = 0 s1 = 9672834, s2 = 9378419, d1 = 0, d2 = 0 Dl.O(d1) = 11566663,9680724,6367222,6367221,9680720,14075320,18003280,24411657,31959438,29653770,22302131,22302130,29653768,38219792,38629699,38629698,48544546,48480409,38566954,29996474,22627709,22130322,16015460,11119861,11119860,14075425,14075426,19638853,26371885,30195082,31959814,40697885,40697884,41829315,32904538,25193453,254426080,30904672,30904671,39512790,49444006,257107854,256619196,255643272,14075466,9680799,6367264,3995301,2394278,2394276,3995288,6367240,9680756,14075381,19638771,26371762,33640529,25837529,19184253,13700444,9383153,9383151,255283491,25837521,33640514,42669710,257135586,38204235,48115130,54612278,54612277,46887351,46887350,47949220,53121114,43869889,37764456,37764458,37765143,29203626,29203625,30587230,23169006,19803988,19803987,23455497,30887449,34599457,30586004,23167886,23167882,30585993,26612110,26612109,34599220,29203631,29203630,37765146,39184669,30586926,23168688,16905356,16905357,23168693,29202620,29202621,34599609,26612383,26612385,34599614,37765470,37764354,29203560,21890638,21890641,24072894,24072893,23168601,16905284,11830521,11830520,16905277,23168585,30586774,29202078,29202079,29203585,21890656,21890657,29203588,37765094,39754953,31077333,23594036,17281797,12160659,12160658,17281795,23594034,31077330,39754949,47687022,37765239,256133296,21890741,15813579,10958643,7253451,4574307,4574304,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,29203960,29202102,29202106,21889928,21889929,29202740,21891460,21891461,29203729,29202487,21889755,15812860,10958238,7253245,7253246,10958239,15812862,21889761,29202493,37763988,39184963,37766763,30587276,30587275,30586022,23169547,16906110,16906108,23168760,23169138,255135685,7906364,5025661,5025662,7906371,11830877,16905789,19814030,23167527,21890997,21890995,29204056,23169552,16906115,11831109,11831111,16906120,23169373,30586016,23167894,23167892,23167510,23167509,29203222,29203221,29205190,21891974,15814418,10959190,10959192,15814421,21891977,29205194,30586170,30586171,37766131,255691464,21891895,15814353,10959132,7253724,7253725,10959134,11831159,16906195,23168338,16905127,15814040,15814039,21889654,16905610,16905608,16905542,11830686,7906248,5025601,5025603,7906252,7035780,7035779,10654893,15414101,21400577,28641289,29205114,37156980,47047676,47047675,47047677,37156876,28641112,21400441,15414010,10654851,10654852,15414017,21400453,24192967,24192968,21890138,15813068,15813071,21890143,29203054,31700959,24192971,21400892,15414309,10654995,7035835,4426724,4426722,5562375,8566409,12619785,17823812,24193060,19051497,19051485,13600319,13600320,16598082,11576047,11576048,16598083,22817141,30208936,38793525,48538233,38623486,30049732,30049734,32778892,32778886,32778887,33442955,32778272,25080881,25080878,25672236,25672238,29331287,37899884,38623422,46689464,38623470,30049714,30049713,37899947,30208992,22817179,16598105,16598104,22817174,19517643,13971298,9593973,9593974,13971302,19517654,23463971,17184667,12083173,12083172,17184663,23463960,30897318,39504722,49435602,41695229,32778475,32778476,32996112,32996111,37701550,41695032,32778191,32778148,25080775,18537308,18537307,25080774,32778144,30897380,30897381,37899996,29331390,22000780,22000782,29331397,32778180,38471638,29913474,29913475,32779444,32779443,31121208,31121209,31416273,39939790,33442776,25672501,19051466,19051467,18537225,18537226,25080642,31701298,31701296,40393739,32778205,25080823,18537341,18537342,25080828,30585919,30897248,23463909,23463907,17184648,12083164,8125415,8125414,5861997,3659682,3659681,5861993,8978801,13171663,8979104,8979102,13172206,18538271,25082067,268710674,52007035,52007471,41695797,32779413,256297121,21098587,21098585,256297119,46689457,41694856,32777998,25080750,21098556,15155229,15155228,21098555,28308436,32778575,32778574,30897211,30897210,39504630,32779218,32779217,41695680,47198456,47198455,41694573,41694574,41695509,32778927,25081516,18537855,18537854,19638683,22817026,25081426,25081480,25081146,18537571,13171805,8978884,8978882,13171802,13172125,13172124,18537748,18537747,25080357,32777677,41694521,41694520,32778970,32778971,30307970,22908579,22908580,20794828,14902362,14902361,20794835,27956299,25081195,255384986,20782879,18538454,18538453,20905795,18538465,13172361,8979179,8979178,13172356,10246410,6732320,6732319,10246406,14902450,20794962,27956420,36414545,33474669,33018696,33018695,36895759,29714457,22358708,22358709,25292954,27936157,36380383,32778803,32778802,27935100,25081747,25081307,256423770,27935384,27935385,36379780,32549926,25626105,25358878,18776432,18776433,14895543,14895545,14895623,14895624,20783053,20782840,14895498,10242287,6729872,4216554,4216557,6729878,10242036,14895035,20782151,27934947,27012453,27012454,20782918,14895536,14895535,20782913,20794882,20783094,14895653,10242361,6729909,4216576,2521009,1452741,1452743,2521015,4216586,6729932,10242403,11116266,10242183,10242184,14895199,14895200,14895254,10242145,6729803,4216521,4216523,6729809,10242159,13372025,14895608,13680556,13680555,14895012,20782112,15568305,15568304,14895468,10242274,10242276,14895475,14895512,20782863,23824514,23824515,27935830,21595048,15568158,15568157,21595040,27935660,33438520,25668926,19048568,19048570,20783090,17332856,14895156,14895157,20782301,20782300,27935154,36379585,255206964,27935128,20782281,18685288,13292284,9074760,5934553,5934554,9074762,13292288,18685296,25256197,25256462,25256463,32979069,25256188,25256187,32979066,25256336,18685401,18685402,25256342,25256363,24900507,18397550,13067541,8904458,5810555,5810557,8904466,13067559,18397620,20782321,20782322,27935189,32550071,32372749,32372750,32979358,25256454,18685467,18685466,25256449,30375146,22973869,16737292,16737294,22973877,18685451,13292377,13292376,18685448,25256152,21174678,21174679,25256145,23322150,23322149,18685332,13292306,13292309,9074834,5934595,3710739,2222135,2222133,3710729,5934579,9074803,13292357,18685415,15236448,15236449,18397599,24900581,26607258,19799860,19799858,21546822,15529297,15529296,21546821,28815386,28425000,21201692,21201690,25042563,25042564,32730592,41637899,51941944,63754044,76861727,85470212,71885613,59147642,58914494,47748999,37826781,29261368,21940042,15851746,10986100,10986101,15851751,21940051,29261379,26930926,20045143,254748442,35012494,35012493,254511046,14359882,14359880,15721485,15721487,21780342,23033912,16790362,15719359,15719357,21778480,26943648,26951703,20067148,20067149,26933156,20046924,14361150,12488072,12488069,15499932,20062230,14378022,9884090,9884091,7627159,7627161,8356463,8356465,11133578,11133582,10884306,10584616,6982377,4387146,4387149,6982358,254686368,21290319,28510346,37008833,44416984,44416985,255047192,37626760,44356833,35018905,26937816,23307241,23307240,30724938,34979358,26899970,20131432,14438521,9932074,9932073,14438517,20131425,26955575,26955574,255105194,15704909,21760050,29054633,37602817,35008397,35008396,42103251,33149016,268639744,18817894,13406263,13406262,18817893,25408496,255418292,11218203,7443547,4703192,4703193,7443550,11218207,16147460,16272574,16272575,22440442,29806773,38378578,30218196,22825801,22825800,30218193,38802263,48723283,258174367,86450777,100407417,260638961,141657030,154309650,166059114,176696135,186109568,194313866,201340687,195465382,187442723,178223632,263057886,272815130,261602294,260469654,74761884,61961968,50466113,40428232,31733948,24225304,24225303,268371292,39275146,39275144,49201550,60602188,257183300,100942076,114996186,259641484,142249890,154883841,166584135,177157528,186505513,194652809,201630321,207502226,212342375,212682223,207902613,202102686,195202582,263951652,273374494,167360920,167360921,155726268,143172086,129840886,115941267,115941268,272244122,101895101,87921157,74318006,61541632,50063498,40044086,31363865,23869447,23869448,29099081,21801338,15741114,10901768,8155424,5225871,5225872,8155428,12123703,17240504,23548252,31029290,39706361,49166836,256068082,255612650,16948106,11861559,11861561,16948103,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,3737491,3737493,5976395,9132539,13363025,18766039,23351661,267958116,12847646,8736725,5687832,5687835,8736737,12847671,18118640,12849081,8737568,8737570,12849087,18120962,255164050,18415253,24924267,32581059,30438825,30438824,39028248,38639416,30064869,30064870,38639422,43861277,43861275,51055657,42760609,33730699,33730700,42760615,36867568,36867569,38649081,38649082,48564360,58115268,46747496,36868178,28371522,28371521,30073255,22693281,16491632,11490289,11490291,12074672,17173044,17173056,17173054,23449173,30880088,37422283,47330529,255825926,30880716,23449637,23449638,27062247,27062249,35148081,32968997,25246792,18676132,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,37521857,28978009,24004626,17659382,17659385,20231432,20231436,22652023,22652020,30024895,30024896,256002706,50218854,48570813,48570812,47915565,47915564,47430204,37522632,28978617,21695807,255854189,37522630,47430203,48481267,38567864,255428530,31685304,24176731,17808590,17808591,24176735,31685311,40379104,50413712,61904259,74697938,88325671,102321302,116413707,130250606,143578973,156115139,167719814,263260773,195430473,202296454,208068589,212827803,216718762,215888024,211859780,206929853,200962627,193887885,185633425,176172712,165494290,260597426,127698898,113829330 Dl.O(d2) = 11566663,9680724,6367222,6367221,9680720,14075320,18003280,24411657,31959438,29653770,22302131,22302130,29653768,38219792,38629699,38629698,48544546,48480409,38566954,29996474,22627709,22130322,16015460,11119861,11119860,14075425,14075426,19638853,26371885,30195082,31959814,40697885,40697884,41829315,32904538,25193453,254426080,30904672,30904671,39512790,49444006,257107854,256619196,255643272,14075466,9680799,6367264,3995301,2394278,2394276,3995288,6367240,9680756,14075381,19638771,26371762,33640529,25837529,19184253,13700444,9383153,9383151,255283491,25837521,33640514,42669710,257135586,38204235,48115130,54612278,54612277,46887351,46887350,47949220,53121114,43869889,37764456,37764458,37765143,29203626,29203625,30587230,23169006,19803988,19803987,23455497,30887449,34599457,30586004,23167886,23167882,30585993,26612110,26612109,34599220,29203631,29203630,37765146,39184669,30586926,23168688,16905356,16905357,23168693,29202620,29202621,34599609,26612383,26612385,34599614,37765470,37764354,29203560,21890638,21890641,24072894,24072893,23168601,16905284,11830521,11830520,16905277,23168585,30586774,29202078,29202079,29203585,21890656,21890657,29203588,37765094,39754953,31077333,23594036,17281797,12160659,12160658,17281795,23594034,31077330,39754949,47687022,37765239,256133296,21890741,15813579,10958643,7253451,4574307,4574304,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,29203960,29202102,29202106,21889928,21889929,29202740,21891460,21891461,29203729,29202487,21889755,15812860,10958238,7253245,7253246,10958239,15812862,21889761,29202493,37763988,39184963,37766763,30587276,30587275,30586022,23169547,16906110,16906108,23168760,23169138,255135685,7906364,5025661,5025662,7906371,11830877,16905789,19814030,23167527,21890997,21890995,29204056,23169552,16906115,11831109,11831111,16906120,23169373,30586016,23167894,23167892,23167510,23167509,29203222,29203221,29205190,21891974,15814418,10959190,10959192,15814421,21891977,29205194,30586170,30586171,37766131,255691464,21891895,15814353,10959132,7253724,7253725,10959134,11831159,16906195,23168338,16905127,15814040,15814039,21889654,16905610,16905608,16905542,11830686,7906248,5025601,5025603,7906252,7035780,7035779,10654893,15414101,21400577,28641289,29205114,37156980,47047676,47047675,47047677,37156876,28641112,21400441,15414010,10654851,10654852,15414017,21400453,24192967,24192968,21890138,15813068,15813071,21890143,29203054,31700959,24192971,21400892,15414309,10654995,7035835,4426724,4426722,5562375,8566409,12619785,17823812,24193060,19051497,19051485,13600319,13600320,16598082,11576047,11576048,16598083,22817141,30208936,38793525,48538233,38623486,30049732,30049734,32778892,32778886,32778887,33442955,32778272,25080881,25080878,25672236,25672238,29331287,37899884,38623422,46689464,38623470,30049714,30049713,37899947,30208992,22817179,16598105,16598104,22817174,19517643,13971298,9593973,9593974,13971302,19517654,23463971,17184667,12083173,12083172,17184663,23463960,30897318,39504722,49435602,41695229,32778475,32778476,32996112,32996111,37701550,41695032,32778191,32778148,25080775,18537308,18537307,25080774,32778144,30897380,30897381,37899996,29331390,22000780,22000782,29331397,32778180,38471638,29913474,29913475,32779444,32779443,31121208,31121209,31416273,39939790,33442776,25672501,19051466,19051467,18537225,18537226,25080642,31701298,31701296,40393739,32778205,25080823,18537341,18537342,25080828,30585919,30897248,23463909,23463907,17184648,12083164,8125415,8125414,5861997,3659682,3659681,5861993,8978801,13171663,8979104,8979102,13172206,18538271,25082067,268710674,52007035,52007471,41695797,32779413,256297121,21098587,21098585,256297119,46689457,41694856,32777998,25080750,21098556,15155229,15155228,21098555,28308436,32778575,32778574,30897211,30897210,39504630,32779218,32779217,41695680,47198456,47198455,41694573,41694574,41695509,32778927,25081516,18537855,18537854,19638683,22817026,25081426,25081480,25081146,18537571,13171805,8978884,8978882,13171802,13172125,13172124,18537748,18537747,25080357,32777677,41694521,41694520,32778970,32778971,30307970,22908579,22908580,20794828,14902362,14902361,20794835,27956299,25081195,255384986,20782879,18538454,18538453,20905795,18538465,13172361,8979179,8979178,13172356,10246410,6732320,6732319,10246406,14902450,20794962,27956420,36414545,33474669,33018696,33018695,36895759,29714457,22358708,22358709,25292954,27936157,36380383,32778803,32778802,27935100,25081747,25081307,256423770,27935384,27935385,36379780,32549926,25626105,25358878,18776432,18776433,14895543,14895545,14895623,14895624,20783053,20782840,14895498,10242287,6729872,4216554,4216557,6729878,10242036,14895035,20782151,27934947,27012453,27012454,20782918,14895536,14895535,20782913,20794882,20783094,14895653,10242361,6729909,4216576,2521009,1452741,1452743,2521015,4216586,6729932,10242403,11116266,10242183,10242184,14895199,14895200,14895254,10242145,6729803,4216521,4216523,6729809,10242159,13372025,14895608,13680556,13680555,14895012,20782112,15568305,15568304,14895468,10242274,10242276,14895475,14895512,20782863,23824514,23824515,27935830,21595048,15568158,15568157,21595040,27935660,33438520,25668926,19048568,19048570,20783090,17332856,14895156,14895157,20782301,20782300,27935154,36379585,255206964,27935128,20782281,18685288,13292284,9074760,5934553,5934554,9074762,13292288,18685296,25256197,25256462,25256463,32979069,25256188,25256187,32979066,25256336,18685401,18685402,25256342,25256363,24900507,18397550,13067541,8904458,5810555,5810557,8904466,13067559,18397620,20782321,20782322,27935189,32550071,32372749,32372750,32979358,25256454,18685467,18685466,25256449,30375146,22973869,16737292,16737294,22973877,18685451,13292377,13292376,18685448,25256152,21174678,21174679,25256145,23322150,23322149,18685332,13292306,13292309,9074834,5934595,3710739,2222135,2222133,3710729,5934579,9074803,13292357,18685415,15236448,15236449,18397599,24900581,26607258,19799860,19799858,21546822,15529297,15529296,21546821,28815386,28425000,21201692,21201690,25042563,25042564,32730592,41637899,51941944,63754044,76861727,85470212,71885613,59147642,58914494,47748999,37826781,29261368,21940042,15851746,10986100,10986101,15851751,21940051,29261379,26930926,20045143,254748442,35012494,35012493,254511046,14359882,14359880,15721485,15721487,21780342,23033912,16790362,15719359,15719357,21778480,26943648,26951703,20067148,20067149,26933156,20046924,14361150,12488072,12488069,15499932,20062230,14378022,9884090,9884091,7627159,7627161,8356463,8356465,11133578,11133582,10884306,10584616,6982377,4387146,4387149,6982358,254686368,21290319,28510346,37008833,44416984,44416985,255047192,37626760,44356833,35018905,26937816,23307241,23307240,30724938,34979358,26899970,20131432,14438521,9932074,9932073,14438517,20131425,26955575,26955574,255105194,15704909,21760050,29054633,37602817,35008397,35008396,42103251,33149016,268639744,18817894,13406263,13406262,18817893,25408496,255418292,11218203,7443547,4703192,4703193,7443550,11218207,16147460,16272574,16272575,22440442,29806773,38378578,30218196,22825801,22825800,30218193,38802263,48723283,258174367,86450777,100407417,260638961,141657030,154309650,166059114,176696135,186109568,194313866,201340687,195465382,187442723,178223632,263057886,272815130,261602294,260469654,74761884,61961968,50466113,40428232,31733948,24225304,24225303,268371292,39275146,39275144,49201550,60602188,257183300,100942076,114996186,259641484,142249890,154883841,166584135,177157528,186505513,194652809,201630321,207502226,212342375,212682223,207902613,202102686,195202582,263951652,273374494,167360920,167360921,155726268,143172086,129840886,115941267,115941268,272244122,101895101,87921157,74318006,61541632,50063498,40044086,31363865,23869447,23869448,29099081,21801338,15741114,10901768,8155424,5225871,5225872,8155428,12123703,17240504,23548252,31029290,39706361,49166836,256068082,255612650,16948106,11861559,11861561,16948103,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,3737491,3737493,5976395,9132539,13363025,18766039,23351661,267958116,12847646,8736725,5687832,5687835,8736737,12847671,18118640,12849081,8737568,8737570,12849087,18120962,255164050,18415253,24924267,32581059,30438825,30438824,39028248,38639416,30064869,30064870,38639422,43861277,43861275,51055657,42760609,33730699,33730700,42760615,36867568,36867569,38649081,38649082,48564360,58115268,46747496,36868178,28371522,28371521,30073255,22693281,16491632,11490289,11490291,12074672,17173044,17173056,17173054,23449173,30880088,37422283,47330529,255825926,30880716,23449637,23449638,27062247,27062249,35148081,32968997,25246792,18676132,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,37521857,28978009,24004626,17659382,17659385,20231432,20231436,22652023,22652020,30024895,30024896,256002706,50218854,48570813,48570812,47915565,47915564,47430204,37522632,28978617,21695807,255854189,37522630,47430203,48481267,38567864,255428530,31685304,24176731,17808590,17808591,24176735,31685311,40379104,50413712,61904259,74697938,88325671,102321302,116413707,130250606,143578973,156115139,167719814,263260773,195430473,202296454,208068589,212827803,216718762,215888024,211859780,206929853,200962627,193887885,185633425,176172712,165494290,260597426,127698898,113829330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9672834, s2 = 9378419, dlinesl.size( ) = 2 s1 = 9672834, s2 = 9378419, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9672834, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 7915392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8152395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6674669, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7603184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7886189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7886189, s2 = 7643725, int(edited[s2]) = 0 s1 = 7886189, s2 = 7643725, d1 = 9, d2 = 7 Dl.O(d1) = 254483581,829584,468086,263289,145832,145830,263284,468075,825088,1457269,1457276,2528679,1458154,825536,825535,1458152,2530318,2530425,4232301,254439532,4241305,2535863,1461275,1461274,254322263,6767487,254439535,1289641,1289643,2223267,2223257,2223254,3712741,5937704,6825289,6825286,9079629,13297795,12093864,8133134,8133133,12093863,11664610,7776956,4928704,4928705,2972929,1725246,980850,980849,1725244,2972924,4928700,7776948,6748497,4228611,2528372,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343276,6343273,9647521,10269431,14932591,20830909,27995151,268061902,254996056 Dl.O(d2) = 270787951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7886189, s2 = 7643725, dlinesl.size( ) = 14 s1 = 7556018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7688569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1606879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344003, s2 = 14061369, int(edited[s2]) = 0 s1 = 10344003, s2 = 14061369, d1 = 13, d2 = 4 Dl.O(d1) = 790074,1389328,2401004,4006447,6384920,6384771,6384772,9706477,13770935,13977118,13977117,268318877,28701794,21449478,21449479,26241446,28701805,26418709,24761719,24761720,21449481,21449480,28701796,28632712,28632713,37146739,43394888,43394887,43190659,43190660,43190654,34104918,26241454,19524282,255710203,34104920,43190658,53702369,65759460,71027984,65759449,65759450,58504193,58504192,54639736,54639737,53702353,53702352,53702354,53702355,43190645,37066632,37066631,46945780,46945779,44811396,35386814,27261473,20327278,19832522,14207153,9766621,6421393,6421394,9766623,14207084,11124845,11124846,14206605,9766217,9766216,14206602,9766570,9766571,7378866,4661665,2808427,1629238,1629236,254350261,4028379,6421226,9766330,14206749,267859174,18773839,13369824,9137604,9137603,13369822,18770451,13366915,11003610,11003609,14542010,18768386,18768387,255031344,42025151,256317840,54653127,43910407,40494832,31799762,31799763,40494834,257104259,40494811 Dl.O(d2) = 257687433,40494822,31799758,24285746,17904910,12684330,8615724,5600487,3476429,254421967,8615723,7230167,7230168,10928897,15776984,19608435,21852028,21852029,26336153,254751492,15075859,15075860,20988891,28169295,34209998,26336176,19607900,14050209,9661279,6353209,3986282,3986281,6353207,4301847,4301846,6854675,10398484,255143918,26336146,26336514,28566490,254881276,10616237,7005751,4403711,2639609,1524690,864626,864628,864592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344003, s2 = 14061369, dlinesl.size( ) = 2 s1 = 10344003, s2 = 14061369, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10344003, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9127874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9127874, s2 = 14370008, int(edited[s2]) = 0 s1 = 9127874, s2 = 14370008, d1 = 13, d2 = 9 Dl.O(d1) = 1443011,2500988 Dl.O(d2) = 2500892,1442988,1442983,2500913,1444828,1444824,2504722,4187611,4198243,6699584,10195257,14823942,20673452,256259263,45871514,57102398,270239611,97192206,110479525,96347881,82342252,256207414,45272120,35719973,35719974,257348969,68266238,57279393,46011515,46011516,41062784,41062786,41062882,35269985,27165968,20251440,20251442,14531965,254908375,5879883,3670821,3670823,254640295,255397182,32858492,37122593,47009437,58380441,59188721,254730488,43035602,43035603,41706468,32790841,25092590,18546428,18546429,25092591,255797496,24431795,20809983,14914337,10792527,7130363,4488841,2696719,2696718,4488839,7130358,255045251,21631974,28906132,37445374,257462518,37445371,37445372,257462561,71469433,85041423,98966585,112956085,126810377,140160465,152854187,164689935,164689936,164689937,167842872,156254043,143727488,130401580,116561516,102462340,88458372,74824942,74824940,74824941,88458369,102462334,116561508,130401571,143727480,156254036,261326979,116561518,116561517,130401532,116561519,102462342,88458373,74824943,62028267,50536655,40501491,31806340,24291623,17909869,254877999,8619234,12688433,17909867,24291620,31806335,24291618,17909866,17909865,24291616,31806331,40501479,50536646,62028256,258919883,102462305,116561469,130401528,259236934,110203508,110203509,121368392,121368393,122785180,259549526,260761460,259223272,126513326,137911214,270258372,96014003,256799232,68445702,81969375,257985806,258601156,73630289,60879302,49474647,256622934,28748271,21489148,21489151,28748283,37282324,47190581,43722382,34494967,26538216,19753804,14153210,14153212,19753810,26538230,34494932,43722321,54412111,54477061,66159274,54050456,43484674,34356601,26463748,26463750,34356608,41172933,32357294,32357295,26836353,26817435,19953892,14288747,14257265,9803342,6443439,4041579,2421270,2421264,4041583,6444439,9805413,14268345,257297579,55034812,270129791,55034814,55034815,259147743,109168687,123376367,137126435,272110104,150186106,137277573,137277574,150319699,262079259,137277572,123545107,109352742,95097969,95097968,259780916,95097960,95097958,81039522,67570627,55227544,44376788,34998396,26916970,20032523,20032525,26916974,26635040,26635041,34624543,43896439,54639460,66896893,80324775,94380039,108667289,122931520,108667287,108667288,272448865,162114733,173214390,263421471,199076363,264411874,199076362,205338607,210522983,210522984,210522985,214759346,214759347,211369992,206361069,264467621,206361070,200303858,193132068,184775187,175204766,164420710,152562144,262172231,139848802,126477717,112609314,98614319,98614318,112609311,126477710,126477709,112609310,98614317,84689734,84689733,98614314,112609305,126477705,139848787,152562124,139848778,126477699,126477700,139848779,126477702,112609302,98614310,98614309,98614323,98614322,112609300,126477698,112609321,98614325,84689740,71125447,58407617,47035205,37146246,37146245,37146242,37146241,47035200,47035202,47035203,58407612,71125438,84689727,98614305,258370834,119317182,105121734,90939039,77056271,63942269,52121723,268736951,18615840,18615841,13232521,9023130,5892509,5892508,9023128,13232518,18615845,25175100,32883924,41806493,41806494,52121729,47197521,47197520,41806490,41806491,52121727,63942277,77056277,90939049,257167876,119317185,119317186,115104840,115104841,129033665,142408208,155054104,166753545,177311252,186637535,188968999,180011182,169833208,169833209,180011183,188969000,196730155,196730154,196730153,191832383,183257507,173450993,173450992,262268552,150272101,137230858,123499598,260031336,95052338,109307703,109307706,109307707,109307709,123499604,123499600,109307705,109307704,109307708,123499603,137230861,137230862,150124175,137054201,123295363,109080475,94809636,256776710,54943667,54943668,67269434,64066327,52224765,41893099,32957561,32957558,41893082,43756511,34515548,26549287,26527253,19748382,14150726,14150729,14147436,9729614,9729616,14147546,19741694,26513911,34448668,34491221,34814243,30954719,23503470,17222529,17222526,23520160,17221025,12107406,12107410,255542861,30985777,39637757,49623386,61072589,73842669,259150341,73842667,61072588,61072587,61072586,61072585,258854983,101426989,87452908,87452906,101426990,115472382,115472387,128737748,142096243,128737745,128737744,125948726,112114842,98155462,84261466,84261465,98155458,84261464,70710196,57993370,46617296,36729378,36729379,38642916,38642915,30067769,22688918,16488577,16488576,15110660,10422659,6871522,6871521,10422657,15110658,15110657,15110656,20869845,20869846,254478618,32357278,32357275,41172904,44095082,44207358,44128216,34794312,34794311,26807083,26807084,19947371,19947366,26807144,34859920,34432140,34432143,37135271,37135270,42374437,52773414,64687602,54717150,43973339,34698127,26703632,19882484,19882485,26703634,256206691,19882483,19882481,26703626,34698117,43973325,54717130,66976063,80406336,270517948,270134699,44369587,34991231,29503985,22164515,16042366,268160413,13962752,13962777,19507225,22164517,22164516,29503986,34081865,34081864,33628075,25826094,19174555,19174554,25826092,33628070,31577891,24072143,24072142,19507245,13962800,9586946,9586947,9777596,14222606,19852110,26668075,34082024,26221500,23367950,23367949,19201304,13713382,9392601,9392600,13713381,13774149,9443207,9443206,255288055,25932336,19270258,13774092,13774091,13774194,13774003,9443099,6190453,3874233,2320007,2320006,3874231,3847565,2305436,2305437,3847568,6148819,9385590,13703305,255270704,9385507,9548338,9548337,9385557 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9126058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13519303, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6762033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1609149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13458285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658228, s2 = 10352899, int(edited[s2]) = 0 s1 = 11658228, s2 = 10352899, d1 = 14, d2 = 16 Dl.O(d1) = 210292441,205047587,263998612,263271262,149171605,260761646,107645150,93242458,79126809,65771475,258471151,65771474,59666460,48278619,38367083,29794365,256409141,31274475,23788863,23788864,256851328,255577943,18409226,13076040,8910437,5814684,5814683,8910435,13076037,18409223,24915548,32568274,36692318,46578667,57955255,58421553,47046696,37155885,37108370,28599868,268612281,46993504,39525827,37242160,28711303,21456183,21456184,28711305,28161461,20981776,15069696,10393042,6850262,4298707,2570075,1479655,1479657,2570078,4298713,3713761,254202691,1289952,2223855,2230360,3713942,2223980,1290018,736378,418608,418609,736382,1290032,2224002,3713920,2223969,2223968,3713916,4258664,4258663,6792401,9938062,8968447,5854691,5854692,6531884,6531885,9938043,9938053,6531895,4092847,4092846,6531893,6766642,4240682,4240683,4266326,4266327,6802978,10335441,15005351,17952683,254880337,5622273,3492962,256053195,40567973,50609254,62108218,74912234,88550793,102557273,88550789 Dl.O(d2) = 40567972,40567973,50609254,269891407,260164795,259246555,260499390,4230771,4230770,6751779,10273870,12325554,17481564,14986238,10317744,8336282,8336283,6786912,6786911,10266439,6746118,4227132,4227131,6746117,5931108,3708570,2220925,2220922,1478244,1288290,735514,735515,1288257,2220722,3306946,2530447,2530446,254480807,1475644,1110707,1110708,1944132,3304606,2538634,2538632,4246026,3708819,3604832,3604836,4264578,4264575,6800424,9084976,254441832,5936307,5936306,9068955,13285745,18678557,18688864,13295539,13295540,18688865,14946043,10280312,6756561,4233932,4233931,5925477,5925589,6820133,6840777,9712395,6389657,4248081,4248080,5724077,5724078,8788211,12097208,12097207,12097206,8135720,5212562,3180174,1861490,1861491,3180179,5212575,8135747,8297617,8598775,12663157,12090511,255153945,19051841,20911617,15006414,13590923,13590921,255678383,33426587,268382768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658228, s2 = 10352899, dlinesl.size( ) = 2 s1 = 11658228, s2 = 10352899, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11658228, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 612883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 612883, s2 = 6498924, int(edited[s2]) = 0 s1 = 612883, s2 = 6498924, d1 = 2, d2 = 37 Dl.O(d1) = 15754142,255428793,269528592,59018670,71762630,260204190,52768719,42369680,33380664,25614939,19001249,13560478,13560479,19001251,25614943,33380672,42369677,52768714,257694420,50638741 Dl.O(d2) = 255254549,268503484 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8281739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 484714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 484714, s2 = 6496491, int(edited[s2]) = 0 s1 = 484714, s2 = 6496491, d1 = 90, d2 = 119 Dl.O(d1) = 12330618,17488307,23825470,31314585,24362068,17966856,12732364,8651853,5627466,5627465,8651851,12732362,17966851,256054541 Dl.O(d2) = 255226317,24718121,32334305,41149516,51334913,63015872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 484714, s2 = 6496491, dlinesl.size( ) = 56 s1 = 10349212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349212, s2 = 10210346, int(edited[s2]) = 0 s1 = 10349212, s2 = 10210346, d1 = 15, d2 = 13 Dl.O(d1) = 255601361,31893515,40602427,50652437,258304873,259982808,72045293,85633419,259980771,99583672,85633402,72045278,72045277,72045282,59309610,47915266,37999268,29436546,22103928,22103930,256381621,47915274,59309622,72045296,85633421,99583695,88615063,74973102,62161443,50652442,40602432,31893517,24365418,17969712,12734585,12734584,17969711,255209115,8653492,8653491,5628579,3497392,3497393,254424279,1194538,672322,672323,1194539,2078260,3497396,5628585,8653500,8653505,8653504,12734595,17969729,24365430,31893528,31893529,31893530,31893527,24365426,24365425,256563003 Dl.O(d2) = 62161448,74973088,74973089,62161438,50652438,40602430,31893516,271525242,62161437,62161436,50652434,40602425,31893514,31893515,40602427,257695471,258304873,259364618,85633420,85633422,259364612,85633401,72045282,59309610,47915266,37999268,256923619,257695469,40602423,31893513,24365413,24365412,256562997,50652429,62161430,74973089,62161438,50652438,40602430,31893516,271525242,50652436,50652435,60627390,49226127,39299018,30701383,30701384,39299026,49226133,60627399,67740794,55401737,44555170,256337202,27089618,20191410,20191405,15550553,11098705,11098701,15987627,22095999,22657427,30031919,37988174,37988175,29426868,22096018,15987638,11098707,11098708,15987640,22096021,29426872,29426670,22095835,22095833,29426666,37988042,47903638,47903447,47903446,37997982,37997983,47913996,58401656,47029659,37141216,28627925,21389627,15405364,15405363,16105800,16105804,22242109,29590378,29590436,29590360,22242096,22242097,25370984,29589867,22241589,16105437,16105436,22241587,29589866,38156137,48068789,59459565,72114072,72114073,258748283,85913599,72320341,257083598,58017643,70732489,59103123,48183824,38274491,38274492,48183827,50535016,50535012,59950563,59950564,72689047,61707152,50225733,49362304,49362303,60765456,61712618,50232606,50226471,40204776,40204777,50226473,61707473,50233943,40213647,31527829,24025648,254863140,40213646,50233942,60742952,49339743,39410222,39410221,40204554,40204553,40211876,36946378,28446613,21220494,15251398,15251397,21220493,28446612,31499364,31499365,39366263,30764653,30764654,33078709,25348109,25348113,20219723,20219727,256230011,39733153,39733154,48747153,38827195,30243811,22849788,16625319,16625318,22849787,30243809,38827189,48747147,255553060,52361890,42023460,42023272,33079276,25348517,18766929,13363530,13363532,13363544,18766956,25348563,22595420,16412216,16412217,255921859,32742063,32742062,40184860,40184858,42022691,33078713,25349332,25349330,22849781,16625313,11596670,11596669,16625312,22849779,255118556,48459531,38547294,31870706,31870702,31080794,31080793,33078527,33079640,25348796,25348798,29056206,21761432,21761434,29056216,29510027,22169101,16045704,16045703,268400289,38074287,47987047,50207699,256879005,28847967,21576171,255845503,37388068,47297354,58688300,71421501,84994811,98919575,89595682,75813317,75813318,70831951,58117281,46748546,46748547,58117282,70831954,84389077,98297604,112279096,126138371,126138370,130551722,116717256,260161166,74973109,74973110,88615071,88166277,74550991,61767152,50287358,256540357,24073387,24073388,24183011,17814629,17814628,24183009,24183015,24183014,270324950,50287360,40266122,40266123,50287362,61767155,50419683,50419684,61910085,74550989,61767150,50287357,40266121,40266120,50287355,61767147,74550985,88166268,270910429,116219143,130130040,143460901,155999757,155999755,155999753,155999754,167609039,178071803,173703507,173703508,162691547,150589150,137588607,123907265,123907264,131682590,117854482,103700044,103700043,117854481,103700046,89584232,81538833,75801801,75801800,89584234,103700050,107352212,92946847,88347996,74720020,61926482,50435999,50435998,61926480,258912319,270287266,74720016,85421598,72311570,72311571,74720015,88347989,85905225,85905226,95569542,81538841,68051979,268900658,44747234,55655249,68051982 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4307599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4307599, s2 = 3437441, int(edited[s2]) = 0 s1 = 4307599, s2 = 3437441, d1 = 9, d2 = 7 Dl.O(d1) = 141431412,141431411,154102525,272358336,154102526,154102527,154102529,165869893,176524268,167984023,156418873,258344584,116771383,102677214,102677213,97832164,255227702,57748891,46398102,46398103,50680903,40623441,40623440,40623463,256081442,24377671,17979206,17979205,24377670,31909174,40623462,50680927,62199069,75020002,88668908,259965233,71851086,59112971,47715364,37794511,29232180,29232178,256908305,59112968,270312573,260391757,95068262,81009059,81009057,95068258,109323290,123514545,123514544,137244677,150284597,162420423,161917243,149619359,136353112,122368771,107942046,93504518,256766984,53928860,43402188,34301136,26423891,19686724,14114650,9710289,9710287 Dl.O(d2) = 59459014,72196597,59459013,48068134,48068133,59459010,72196594,72196596,85790401,72196588,72196587,259373307,85790412,72196599,59459013,48068134,48068133,59459011,72196595,85790407,85790415,72196602,72196601,85790413,259991395,113758475,127627188,140976785,153644093,165425187,176107459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4307599, s2 = 3437441, dlinesl.size( ) = 2 s1 = 4307599, s2 = 3437441, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 4307599, Dl.E( ) = 22, 1.22e-05 seconds used appending s1 = 1968910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1969944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1613989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1614029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6694301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162512, s2 = 14062499, int(edited[s2]) = 0 s1 = 14162512, s2 = 14062499, d1 = 12, d2 = 6 Dl.O(d1) = 264024368 Dl.O(d2) = 40784133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162512, s2 = 14062499, dlinesl.size( ) = 2 s1 = 14162512, s2 = 14062499, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162512, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 7908908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6775581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163502, s2 = 8370673, int(edited[s2]) = 0 s1 = 14163502, s2 = 8370673, d1 = 68, d2 = 53 Dl.O(d1) = 29864267,254583406,12216294,8246499,5318137,3267054,3267052,5318133,8246492,254266718,17514510,23588474,17276632,17276633,17177129,12077526,12077527,11368014,11368013,11368028,11368026,11368152,11360251,11360208,11360209,11360227,7549803,7549804,11363760,16333110,16333830,11364328,7563164,4782302,2881790,2881788,4782294,7563154,11383846,8194458,5264323,5264320,7489811,4733404,4733402,7489807,11282794,16230122,254392386,16353532,22526477,29870076,22510758,22495711,16321870,11355343,11355342,16321868,16697365,254397182,23365117,23365118,23636549,31122463,35103808,29860267,29860268,30795040,23368859,17100344,12014604,12014606,254768052,29858546,31122327,31122326,23636599,17320976,12196076,12196075,16230768,16230770,22389715,255068164,23636294,23636293,31122286,29846588,22480506,22480507,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17235689,12117353,9326457,6109285,6109286,9326459,12050455,17146328,23423484,29860702,29857070,22492769,255126656,7543799,7543798,4772088,2876536,254167913,535869,254086719,166460,300503,535872,950090,1669676,2876568,4772156,7545228,11356490,11346414,7539790,4769438,2875219,2875220,4769444,7539802,11346438,16307671,254582644,11343100,16302294,11347318,7540272,4769668,2875336,2875335,4769666,7540265,11347306,11347990,7540639,4769853,4769849,7540631,11347975,11345907,7539506,4769301,4769302,7539509,11345913,16306940,22477594,22473195,16303495,16303498,22473201,18724792,13329728,13329727,18724789,15330013,15330012,15330044,16308312,16308313,16315211,22487937,28516715,29842190,22476893,16306361,16306363,16684112,11645973,7758695,7758696,11645981,16684132,22489738,22477247,22477244,22475689,22475690,21297356,21297355,16737266,11693526,254248234,22511274,22491243,16317977,15157713,15157715,21101969,22020742,22020741,21081774,21081776,21295299,22481171,22481211,21569406,21569405,16736305,16736304,22972792,255510584,29921501,256824964,36634987,28160313,20980746,255010419,4297830,2569494,267763149,836220,1461322,827176,827177,827186,1461343,2535990,4241551,6767861,5159627,3142966,1840599,1050382,1038123,584708,584709,1038126,1818233,3111501,5121467,5135571,5135570,3373860,254188209,1134247,267846549,8481779,12519441,17699897,24053603,25360043,25360042,33093405,33093382,25360025,18777396,13372809,13372808,18777395,25360024,33093380,42041465,52385524,52385523,64241429,52385531,52385526,42041463,42041462,52385525,258395565,89194774,103289129,103289126,89194771,89194772,89194787,75443419,75443420,75443413,75443414,89194783,103289133,259547070,75443413,75443414,89194782,258299188 Dl.O(d2) = 62521780,62521781,75443409,89194779,103289124,89194766,75443394,62521770,62521769,75443393,260782765,260782767,117423698,271423308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163502, s2 = 8370673, dlinesl.size( ) = 26 s1 = 14163888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163910, s2 = 9676265, int(edited[s2]) = 0 s1 = 14163910, s2 = 9676265, d1 = 15, d2 = 4 Dl.O(d1) = 102161479,258092526,86565298,72966881,72966882,86565299,100526661,114557468,116651887,116651890,102552270,88545346,74906823,62103263,50604574,50604573,40563462,31861825,24339647,17949382,17949383,24339649,31861828,30337227,30337226,38923557,40563448,31861817,31861818,40563450,50604563,62103256,50604591,50604590,42360647,33371643,25606836,25606837,33371645,42360652,52760344,62103290,62103291,74906844,88545367,102552286,102166109,88175396,74560641,62103251,62103250,74906819,88545341,102552260,95390865,95390866,86549535,72950363,60211448,58220762,46852974,36974263,28476425,21257161,21257162,28476426,36974266,254361310,22411548,29775483,36628441,36628442,46494991,48260764,38349810,29777641,22413096,22413097,19539842,19539843,26258839,34124350,43211769,268410994,46494985,38349806,29777639,29777640,38349807,48260758,59648024,72382951,85978148,72382949,72382948,85978146,99936154,87705791,87705790,101679519,115724244,101679516,87705786,87705785,101679515,98231798,98231799,112210025,126066298,112210029,98231802,98231803,112210032,115724248,101679517,101679511,87705783,87705784,101679513,115724242,126066305,126066294,126066293,139437803,126066296,126066295,119272239,105079242,90899206,90899207,105079243,106106645,91912045,77988305,77019336,63907701,63907702,77019338,78893930,65559013,53534237,53534238,257811297,42471798,33478243,33478244,42190914,33230668,25482023,255263207,9326613,6109367,6109366,9326606,8974355,5858607,3657192,3657194,5858617,8974371,11146680,16053529,11519127,11519126,9200909,6024004,3768649,3768648,6024001,9200903,13454301,14423501,9921920,6521167,4085986,4085987,6521170,5878662,3670108,3670106,5878655,254908175,18590772,256107687,25146931,32853777,32853778,257111825,41774553,32853765,32853766,41774555,39715887,31038407,23556358,23556357,31038404,39715882,49734567,61212957,70806085,70806086,84364747,98273332,101554694,269505160,84364734,98273315,98273335,98273318,98273319,98273330,98273314,84364725,84364724,70806063,58089226,58089227,58089236,46717484,36834789,36834788,46717482,58089232,70806070,84364732,98273321,90197305,84364731,70806069,62525916 Dl.O(d2) = 40803185,40803186,40980237,40980236,40980238,40980239,51051844,40910201,40910200,32598064,24935987,18423949,13086625,8917816,8917815,13086623,268275735,12902674,12902675,13086629,8917818,5819590,3630270,2168186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163910, s2 = 9676265, dlinesl.size( ) = 2 s1 = 14163910, s2 = 9676265, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163910, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 14163002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1972937, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6667809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8119116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8119116, s2 = 14163517, int(edited[s2]) = 0 s1 = 8119116, s2 = 14163517, d1 = 1, d2 = 1 Dl.O(d1) = 61261719,49782930,39763634,31085428,23601354,23601353,31085415,31085414,39763609,49782885,61261586,49782825,39763548,31085364,31085365,39763552,49782831,49783004,39763702,39763703,49783008,49783115,49783116,49782997,39763695,31085489,23601385,23601382,29195271,37756583,42436337,33443409,29836252,29836251,38408457,39763666,31085468,23601375,23601374,31085465,31085566,39763789,38741099,30158570,22770432,16556342,255936045,38741100,257048409,46315598,36462713,36462715,46315599,52348463,52348465,258532632,64198720,64198741,77346134,65563292,53538725,52348458,52348457,64198727,74327712,61551349,50072977,50072976,55336099,268828168,53538719,43059319,34000898,26159143,26159142,34000897,43059313,53538718,65563289,53538720,49793763,39773883,31095476,23611705,17298852,12177085,12177086,17298853,19459543,17535865,17535863,22820109,22820108,16737824,16737823,22974341,30375572,38960631,40061703,268441393,17535855,17535856,23882003,31378935,31253298,23769015,17440946,17440947,23769018,31253303,36630590,28156407,20977269,20977268,28156404,36630585,46497336,47897272,47897273,59292659,47897201,47897203,50467451,40429527,40429528,47897186,37979906,29417011,29417010,37979905,47897184,47897196,37979914,29417014,29417016,37979918,40053289,49114043,40053269,40053267,50073027,50073038,47408287,37500773,28957834,28957835,37500763,47408269,47408335,37500808,37500809,30587574,30587573,39185202,40429522,40429505,40429506,46868731,36990143,36990141,46868728,47408328,47408327,58236397,47408316,47408315,49114091,39185213,39185212,49114089,47939523,256828006,58266704,58266703,50467489,40429558,39752335,31074718,23591400,17279477,12158915,12158916,17279480,23591406,31074730,36987916,36859660,29922234,255866330,21274522,15313082,15313083,21274527,28491028,28957830,37500757,47408259,58795307,59027457,71770238,70982050,268378148,71328709,60802391,49748540,49748537,47356444,37449850,37449852,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567026,31051117,28765989,28765988,22562815,22562816,29922205,37298501,47205097,47205098,50072928,40061200,31378747,23881869,23881868,21505666,21505665,23882058,23877351,17532454,17532453,17532511,12365734,8355707,8355609,5602930,5393309,3316436,1950947,1950948,3316440,5393278,3316423,3316422,254595019,12365690,17532449,23877014,23877015,31372270,40053218,46505930,46505929,57862112,58052119,58052118,70770423,258649195,58052115,46677374,258024437,59536773,59536774,258754601,61209543,49730990,39712366,31035072,23553406,23553405,31035071,39712363,49730982,61209532,73988653,73988656,87589059,101551631,259526782,87589054,259482383,87589051,87589052,101551621,98292816,84384010,70826408,62618013,50996728,257710041,40862866,40862865,50996734,62618020,71969113,59231514,258107975,61249412,49770728,39752246,31074594,23591257,17279347,12158820,8189418,8189417,12158819,17279346,23591255,31074590,37912159,31271646,31271647,39946519,46526052,57882205,49963461,39946496,39946497,49963462,61441691,74221506,85664057,72077098,59343147,59343148,72077100,85664060,99613289,101800528,115846680,119688903,105450112,91227765,91227766,77308123,77308124,91227790,105450140,119688908,105450144,258866290,64160055,52308845,41968529,33025612,33025613,41968531,52308848,64160061,77308133,91227797,101837649,101837650,115882552,129780870,133563948,259051082,106904257,121170885,113003935,99015167,85089576,71516987,58786917,47398743,47398744,58786918,71516988,74262899,61485693,61485692,74262898,81043306,67575116,55232509,55229554,256738307,35000955,44379114,50007555,50007554,50007557,50007558,55229607,44379213,35001042,35001041,44379212,35004196,26922403,26922404,35000953,26919397,26919396,35000951,44379110,268825313,26921889,268173135,9861696,9861695,14352799,20036837,26921885,35003647,35003655,40807218,35001163,35001094,26919536,26919535,35001040,35001039,256738363,35001037,35001038,44379209,35003649,35003648,39872640,257056203,257304005,269190247,55230095,67572915,256738524,255738642,26920208,23699922,17377772,17377771,20037586,26922707,35004506,39872624,31189845,31189844,31189843,39872623,49894963,61375581,74156143,259494555,101733161,87760507,87760508,101733156,101733162,95099634,81041491,74156154,258870347,74156162,74156161,87760491,74156149,61375597,61375598,74156151,87760505,101733159,99015163,85089573,85089574,87760493,74156134,61375573,61375571,74156132,74221527,74221526,74221536,61441715,61441714,74221534,87826542,87760489,74156138,61375576,49894958,39872620,39872621,49894960,61375578,61441716,61375568,61375569,74156129,258901012,74221532,61441713,49963487,39946532,31271667,31271668,39946533,49963490,61441718,74221539,87826549,101733143,101733144,115778331,129675004,130253555,116416388,116416389,129675010,260736666,129675009,115778337,115778336,115846716,259381936,88327837,101733158,115778345,129675013,143002723,130253557,116416379,102323677,102323676,116416376,259381938,74700039,74700040,88327844,102323684,88327853,74700033,74700034,88327855,259521996,88327846,74700020,61906381,61906380,74700019,270842310,74700000,61906365,50415881,40381401,40381402,50415878,50415879,61906364,50415899,50415898,61906393,74474345,74474344,74700042,61906398,50415901,40381413,31687526,24178671,24178672,256547077,50415906,61906371,50415884,40381403,40381404,50415886,61906374,257912394,102323671,103219461,102323673,88327830,88327831,74700030,74700029,75385676,89130732,75385677,62469815,50871774,40757003,32002088,32002087,40757001,50871771,61906388,50415896,50415897,61906391,62469811,50871772,50871773,62469813,75385674,89130728,95072250,109327033,123518365,117348320,117348319,131151219,123518369,109327037,95072254,81013239,67543550,55199750,55199736,44349269,44349268,55199734,67543534,81013215,67543539,67543540,81013224,95072240,255743772,95276488,81218859,67752480,256218216,35186028,35186029,27097258,20197821,14492374,9971503,6553452,6553454,254910751,6750386,4229849,2529060,2529063,4229851,6750388,10271996,14935853,10271993,10271994,14935854,10350332,8599602,5587934,3466736,3466737,5587940,8599606,5950975,254323987,1469178,1469181,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,7671448,7671447,11531593,16545369,22757149,30144062,38725466,48646410,60042705,72781309,72781305,60042702,55411925,44564315,44564316,44564340,35186039,27097263,20197823,255751829,35186037,44564336,55411946,67752500,81218874,95276491,95276490,81218871,81176511,81176510,67752490,55411939,55411940,67711158,67711164,67711161,55371377,44525191,35148662,35148661,44525188,55371371,67711157,60042691,60042692,72781297,81176509,73190775,73190776,73190764,60444247,49040429,49040428,60444245,73190762,73190778,60444259,49040438,268652302,23097956,23097955,30513556,39110667,49040431,49040434,49040432,60444250,73190768,86802690,100783332,86802691,86802692,86802699,270869701,270344544,270350617,100783339,114835241,128734850,142093015,128878709,128878708,142230667,128878714,128878713,127290361,127290362,140636240,127290358,113431657,99429704,85488110,71902993,71902994,85488113,85082009,71903003,71903004,71902997,71902998,59164798,59164799,58781231,47394244,37486566,28944506,21952579,21952578,29276328,37843168,47765866,59164803,71903005,59164804,47765867,47765868,59164807,71510212,71510210,58781220,58781219,47765872,47765873,258077131,47394246,47394241,37486564,28944505,28944504,37486562,37486571,37486570,47394248,47394226,37486554,37486553,37486557,28944498,28944497,37486555,47394228,58781211,71510205,85081997,99007385,112996501,115846637,101800480,101800481,114571950,100541754,100541755,114571951,259460122,129837308,260079362,87917547,74314059,61537369,50059037,50059038,50059039,50059040,50059041,50059034,256522933,31359543,40039533,40039539,40039538,40039541,40039537,31359545,23865556,17521353,17521354,23865558,31359549,23865564,23865559,23865560,31359551,31359540,23865553,256017775,40039529,50059028,61537362,59754888,48372386,38470800,38470799,30663947,23247269,16982133,16980617,11894055,10845371,7956118,7956119,11897508,11878393 Dl.O(d2) = 61261719,49782930,39763634,31085428,23601354,23601353,31085415,31085414,39763609,49782885,61261586,49782825,39763548,31085364,31085365,39763552,49782831,49783004,39763702,39763703,49783008,49783115,49783116,49782997,39763695,31085489,23601385,23601382,29195271,37756583,42436337,33443409,29836252,29836251,38408457,39763666,31085468,23601375,23601374,31085465,31085566,39763789,38741099,30158570,22770432,16556342,255936045,38741100,257048409,46315598,36462713,36462715,46315599,52348463,52348465,258532632,64198720,64198741,77346134,65563292,53538725,52348458,52348457,64198727,74327712,61551349,50072977,50072976,55336099,268828168,53538719,43059319,34000898,26159143,26159142,34000897,43059313,53538718,65563289,53538720,49793763,39773883,31095476,23611705,17298852,12177085,12177086,17298853,19459543,17535865,17535863,22820109,22820108,16737824,16737823,22974341,30375572,38960631,40061703,268441393,17535855,17535856,23882003,31378935,31253298,23769015,17440946,17440947,23769018,31253303,36630590,28156407,20977269,20977268,28156404,36630585,46497336,47897272,47897273,59292659,47897201,47897203,50467451,40429527,40429528,47897186,37979906,29417011,29417010,37979905,47897184,47897196,37979914,29417014,29417016,37979918,40053289,49114043,40053269,40053267,50073027,50073038,47408287,37500773,28957834,28957835,37500763,47408269,47408335,37500808,37500809,30587574,30587573,39185202,40429522,40429505,40429506,46868731,36990143,36990141,46868728,47408328,47408327,58236397,47408316,47408315,49114091,39185213,39185212,49114089,47939523,256828006,58266704,58266703,50467489,40429558,39752335,31074718,23591400,17279477,12158915,12158916,17279480,23591406,31074730,36987916,36859660,29922234,255866330,21274522,15313082,15313083,21274527,28491028,28957830,37500757,47408259,58795307,59027457,71770238,70982050,268378148,71328709,60802391,49748540,49748537,47356444,37449850,37449852,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567026,31051117,28765989,28765988,22562815,22562816,29922205,37298501,47205097,47205098,50072928,40061200,31378747,23881869,23881868,21505666,21505665,23882058,23877351,17532454,17532453,17532511,12365734,8355707,8355609,5602930,5393309,3316436,1950947,1950948,3316440,5393278,3316423,3316422,254595019,12365690,17532449,23877014,23877015,31372270,40053218,46505930,46505929,57862112,58052119,58052118,70770423,258649195,58052115,46677374,258024437,59536773,59536774,258754601,61209543,49730990,39712366,31035072,23553406,23553405,31035071,39712363,49730982,61209532,73988653,73988656,87589059,101551631,259526782,87589054,259482383,87589051,87589052,101551621,98292816,84384010,70826408,62618013,50996728,257710041,40862866,40862865,50996734,62618020,71969113,59231514,258107975,61249412,49770728,39752246,31074594,23591257,17279347,12158820,8189418,8189417,12158819,17279346,23591255,31074590,37912159,31271646,31271647,39946519,46526052,57882205,49963461,39946496,39946497,49963462,61441691,74221506,85664057,72077098,59343147,59343148,72077100,85664060,99613289,101800528,115846680,119688903,105450112,91227765,91227766,77308123,77308124,91227790,105450140,119688908,105450144,258866290,64160055,52308845,41968529,33025612,33025613,41968531,52308848,64160061,77308133,91227797,101837649,101837650,115882552,129780870,133563948,259051082,106904257,121170885,113003935,99015167,85089576,71516987,58786917,47398743,47398744,58786918,71516988,74262899,61485693,61485692,74262898,81043306,67575116,55232509,55229554,256738307,35000955,44379114,50007555,50007554,50007557,50007558,55229607,44379213,35001042,35001041,44379212,35004196,26922403,26922404,35000953,26919397,26919396,35000951,44379110,268825313,26921889,268173135,9861696,9861695,14352799,20036837,26921885,35003647,35003655,40807218,35001163,35001094,26919536,26919535,35001040,35001039,256738363,35001037,35001038,44379209,35003649,35003648,39872640,257056203,257304005,269190247,55230095,67572915,256738524,255738642,26920208,23699922,17377772,17377771,20037586,26922707,35004506,39872624,31189845,31189844,31189843,39872623,49894963,61375581,74156143,259494555,101733161,87760507,87760508,101733156,101733162,95099634,81041491,74156154,258870347,74156162,74156161,87760491,74156149,61375597,61375598,74156151,87760505,101733159,99015163,85089573,85089574,87760493,74156134,61375573,61375571,74156132,74221527,74221526,74221536,61441715,61441714,74221534,87826542,87760489,74156138,61375576,49894958,39872620,39872621,49894960,61375578,61441716,61375568,61375569,74156129,258901012,74221532,61441713,49963487,39946532,31271667,31271668,39946533,49963490,61441718,74221539,87826549,101733143,101733144,115778331,129675004,130253555,116416388,116416389,129675010,260736666,129675009,115778337,115778336,115846716,259381936,88327837,101733158,115778345,129675013,143002723,130253557,116416379,102323677,102323676,116416376,259381938,74700039,74700040,88327844,102323684,88327853,74700033,74700034,88327855,259521996,88327846,74700020,61906381,61906380,74700019,270842310,74700000,61906365,50415881,40381401,40381402,50415878,50415879,61906364,50415899,50415898,61906393,74474345,74474344,74700042,61906398,50415901,40381413,31687526,24178671,24178672,256547077,50415906,61906371,50415884,40381403,40381404,50415886,61906374,257912394,102323671,103219461,102323673,88327830,88327831,74700030,74700029,75385676,89130732,75385677,62469815,50871774,40757003,32002088,32002087,40757001,50871771,61906388,50415896,50415897,61906391,62469811,50871772,50871773,62469813,75385674,89130728,95072250,109327033,123518365,117348320,117348319,131151219,123518369,109327037,95072254,81013239,67543550,55199750,55199736,44349269,44349268,55199734,67543534,81013215,67543539,67543540,81013224,95072240,255743772,95276488,81218859,67752480,256218216,35186028,35186029,27097258,20197821,14492374,9971503,6553452,6553454,254910751,6750386,4229849,2529060,2529063,4229851,6750388,10271996,14935853,10271993,10271994,14935854,10350332,8599602,5587934,3466736,3466737,5587940,8599606,5950975,254323987,1469178,1469181,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,7671448,7671447,11531593,16545369,22757149,30144062,38725466,48646410,60042705,72781309,72781305,60042702,55411925,44564315,44564316,44564340,35186039,27097263,20197823,255751829,35186037,44564336,55411946,67752500,81218874,95276491,95276490,81218871,81176511,81176510,67752490,55411939,55411940,67711158,67711164,67711161,55371377,44525191,35148662,35148661,44525188,55371371,67711157,60042691,60042692,72781297,81176509,73190775,73190776,73190764,60444247,49040429,49040428,60444245,73190762,73190778,60444259,49040438,268652302,23097956,23097955,30513556,39110667,49040431,49040434,49040432,60444250,73190768,86802690,100783332,86802691,86802692,86802699,270869701,270344544,270350617,100783339,114835241,128734850,142093015,128878709,128878708,142230667,128878714,128878713,127290361,127290362,140636240,127290358,113431657,99429704,85488110,71902993,71902994,85488113,85082009,71903003,71903004,71902997,71902998,59164798,59164799,58781231,47394244,37486566,28944506,21952579,21952578,29276328,37843168,47765866,59164803,71903005,59164804,47765867,47765868,59164807,71510212,71510210,58781220,58781219,47765872,47765873,258077131,47394246,47394241,37486564,28944505,28944504,37486562,37486571,37486570,47394248,47394226,37486554,37486553,37486557,28944498,28944497,37486555,47394228,58781211,71510205,85081997,99007385,112996501,115846637,101800480,101800481,114571950,100541754,100541755,114571951,259460122,129837308,260079362,87917547,74314059,61537369,50059037,50059038,50059039,50059040,50059041,50059034,256522933,31359543,40039533,40039539,40039538,40039541,40039537,31359545,23865556,17521353,17521354,23865558,31359549,23865564,23865559,23865560,31359551,31359540,23865553,256017775,40039529,50059028,61537362,59754888,48372386,38470800,38470799,30663947,23247269,16982133,16980617,11894055,10845371,7956118,7956119,11897508,11878393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8119116, s2 = 14163517, dlinesl.size( ) = 2 s1 = 8119116, s2 = 14163517, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8119116, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 9072067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9551840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9551840, s2 = 14330174, int(edited[s2]) = 0 s1 = 9551840, s2 = 14330174, d1 = 15, d2 = 16 Dl.O(d1) = 84328285,84328284,98235596,112213927,126070268,139441863,139441862,152166629,164044813,174862747,184474498,177162292,262418824,154889796,166589463,175755462,175755463,166589465,154889798,142256332,128905160,128905159,140521702,153204372,165023239,175755465,185267761,185267759,175755464,260980080,165023245,154889782,153204391,140521724,140521723,140852211,134988539,121179911,121179913,127494931,113621741,113621740,115003171,100949121,86965131,86965132,100949123,113625510,113625509,113391658,99390853,85450024,85450025,99390855,99606911,99606910,259145416,99606987,85657303,72069973,59335396,47943394,47943395,59335385,59335349,47943357,38029389,29466914,22131785,22131784,29466912,38029386,38029387,29466943,29466922,22131790,16016660,11120834,11120833,16016659,22131787,29466917,35028596,26947987,20063045,14378869,9884857,6494745,4069671,4069670,6494743,9884856,7197382,4534462,2725727,1579343,1579344,1579621,2726264,4535473,6507268,6498565,6498566,4659540,2807242,2726089,2726088,4535146,7198461,9280456,7197659,4534628,2725817,1579387,897889,897891,1579393,2725826,4061894,2430988,2430989,2434328,1407846,801051,801052,1407805,1407798,801028,801030,1407803,2434237,4068042,6492368,7700348,6492536,6492537,7193394,10880292,255367055,10344501,254485309,2553834,1471088,832099,832100,1471090,2553836,3713268,3713269,5938534,4246745,4246747,6775145,10303139,10337502,6804795,4267637,2551472,2551471,4233024,2556421,1472476,832791,827426,827425,1461812,2536810,4242895,6769690,6768871,4242281,4242280,6768870,10295951,9065899,6775307,4246848,4246849,254707147,14971112,20873231,15002055,15002056,12326593,8326920,8326921,10361339,10361340,8109036,8109034,12060440,17156966,23432921,268665083,254982116,254982114,268551884,95078687,257920352,51022737,51004679,40869732,32097946,32097947,40869733 Dl.O(d2) = 75566231,89324112,260189957,103417241,261356881,262864173,263664943,274023018,208276551,263661140,121790277,107407158,92998663,78888426,65553453,53528623,43048803,255606588,43048802,33990055,33990056,258462353,65553452,78888425,92998662,107407156,121790276,135730019,148969076,161274771,161274774,172474948,273480155,264101269,273948389,274161227,218055980,221019872,223553884,225749457,227663360,229340959,230828724,232158641,231546079,231546078,231546080,230137811,228551406,226747125,264254164,219519569,219519568,219519574,263199664,207421235,201539556,194551991,194551992,272881690,194551990,186394842,186394843,186394841,177036692,166452703,166452704,166452708,166452707,154744600,142108756,128752107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9551840, s2 = 14330174, dlinesl.size( ) = 12 s1 = 9192272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16171226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1493170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1974795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16193544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13402665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6636592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6636592, s2 = 11172954, int(edited[s2]) = 0 s1 = 6636592, s2 = 11172954, d1 = 46, d2 = 49 Dl.O(d1) = 256819480,62687889,51057986,40916804,256471304,255970226,12848250 Dl.O(d2) = 91720496,258642464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6636592, s2 = 11172954, dlinesl.size( ) = 8 s1 = 1619792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8371379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6776462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6776462, s2 = 11416020, int(edited[s2]) = 0 s1 = 6776462, s2 = 11416020, d1 = 11, d2 = 12 Dl.O(d1) = 258327843 Dl.O(d2) = 256591614,5692968,5692965,5693009,3541684,3541682,2185237,2185236,2235705,2185254,2185257,3653766,5853310,5976965,3737781,2237853,1297769,740693,421003,421004,740695,1297775,2237867,3737802,5977008,9133584,13364584,18768232,25349995,25351198,21965740,254316644,268218667,99459276,113469496,127339073,260994006,140695113,127339072,127339071,140695111,260994006,140695113,140695112,140695108,127339069,127339070,140695109,140695111,260994006,140695113,127339072,113469495,113469496,127339074,260994008,140695108,127339069,259162142,99459276,113469496,127339074,140695114,263484733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6776462, s2 = 11416020, dlinesl.size( ) = 14 s1 = 1029180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6927739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9381570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2149014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2149014, s2 = 8657437, int(edited[s2]) = 0 s1 = 2149014, s2 = 8657437, d1 = 81, d2 = 105 Dl.O(d1) = 58451422,65199384,53213644,42763825,255931794,40957934 Dl.O(d2) = 168548459,178851076,178851084,178851083,263669119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7565353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7565353, s2 = 13332484, int(edited[s2]) = 0 s1 = 7565353, s2 = 13332484, d1 = 27, d2 = 25 Dl.O(d1) = 268078272,37703558,47626306,254751390,28834424,21848852,21836767,21836768,267886768,15779677,15778437,15778438,21836808,15767437,15767436,21836806,29144471,37704597,29153578,254342846,37718804,47626733,37704231,37704230,37704352,37704221,29143889,254513666,29144012,25209549,25209550,32924576,41854236,37717468,29157330,21848789,15778075,15778074,21848786,29146153,29146151,254162480,29153843,21845210,15774998,10927048,254230752,15766062,10919121,7221563,7221562,10919120,15766059,21835016,29142734,29156998,28889548,21613510,21613511,28889550,34209591,29155136,21846399,21846400,254230390,21849475,254750806,7230816,4557335,2740122,2740120,4557332,7221497,4550042,2735104,1584808,1584809,2735107,4550049,7221507,7230434,10929356,15777714,21848355,19608328,15777694,15777695,15776907,10928836,7230134,4556984,4556982,7230131,10928830,15776903,15776000,15772601,15772603,254750890,21067929,21067928,28270660,256358864,29182276,21871505,21871506,26336228,19607939,257860089,51106100,41027923,32235558,255615170,12894936,12894937,13780342,9448203,9448201,12710619,254619361,5616232,5616230,8635902,9997135,6570288,6517165,6517163,7758866,4913955 Dl.O(d2) = 254445292,13702193,13702192,13158759,13158760,11911436,11911435,15356875,18123357,13140769,8956036,8956035,268136951,13405696,9165315,254625843,5689132,8738809,10638002,10638003,9412745,6167061,268517310,25890839,33696856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6608546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608546, s2 = 8338104, int(edited[s2]) = 0 s1 = 6608546, s2 = 8338104, d1 = 34, d2 = 50 Dl.O(d1) = 256496804,24605059,256071871 Dl.O(d2) = 100506060,100506077,100506076,88485799,74850174,62052012,59173084,47774253,37851141,37851140,37851131,29283171,29283172,37851135,47774243,47774187,37851092,29283168,29283167,30668519,23253039,22900566,22900567,30299067,38884742,33453156,25681716,25681713,30299097,38884789,42114517,48371160,38469564,31314527,25048593,25048591,32738477,40802302,39263250,30667579,30667580,39263251,38884679,38884680,38765443,38765444,48687240,49285051,39358163,37389678,37389679,47298867,58689612,62524950,62524993,59141680,47742965,37820709,29255485,29255486,37820714,47742972,47742975,39037561,30448129,23040279,23040277 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6787078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1978586, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8304658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1622803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1622803, s2 = 11657211, int(edited[s2]) = 0 s1 = 1622803, s2 = 11657211, d1 = 0, d2 = 10 Dl.O(d1) = 41029584 Dl.O(d2) = 72321429,257685042,99869811,258916786,89402421,258806300,50560960,40524672,31827597,24310240,17925444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1622803, s2 = 11657211, dlinesl.size( ) = 2 s1 = 1622803, s2 = 11657211, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1622803, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 9508621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9508621, s2 = 9393381, int(edited[s2]) = 0 s1 = 9508621, s2 = 9393381, d1 = 23, d2 = 55 Dl.O(d1) = 98613207,84688605,71124305,58406473,47034066,37145137,28631250,28631251,37145138,47034069,58406477,51969075,41661382 Dl.O(d2) = 25058768,18520395,13159106,8969446,5855405,3655072,3655071,5855403,254905333,18520391,25058763,32750532,33961135,26123424,26123422,28707301,21452636,15454120,15454119,256328161,47143021,58531272,58531273,258059815,84837203,98764522,112754687,100887777,269499452,49155358,39229155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9508621, s2 = 9393381, dlinesl.size( ) = 8 s1 = 13506355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1609178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9085644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7803741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14298845, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1983392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1983624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1983954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1628213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1628213, s2 = 4432555, int(edited[s2]) = 0 s1 = 1628213, s2 = 4432555, d1 = 16, d2 = 79 Dl.O(d1) = 41183733 Dl.O(d2) = 16021434,22138286,29474971,29650939,29650935,29650930,22298901,16153544,11222635,11222636,16153547,22298906,22298922,29650958,38217331,268403029,22298926,22298928,22298929,29650962,256120364,257190164,49267565,257616640,48127386,48127385,59514788,59514859,256939993,29650943,29650944,38217316,48127480,59514861,60667601,59514790,48127389,48127388,38217252,29650879,29650880,38217254,48127415,48127414,58117097,70831774,84388919,98297470,112278949,126138210,139513142,139513144,152244596,164131304,174952401,174952399,174952398,184558497,192946711,192946707,184558494,184558495,192946709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1628213, s2 = 4432555, dlinesl.size( ) = 2 s1 = 1628213, s2 = 4432555, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1628213, Dl.E( ) = 84, 3.1e-05 seconds used appending s1 = 6571335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9732043, s2 = 9731959, int(edited[s2]) = 0 s1 = 9732043, s2 = 9731959, d1 = 13, d2 = 4 Dl.O(d1) = 41216183,51412464,41216182 Dl.O(d2) = 63108936,63883402,257175463,25125520,255244375,13198394,268155201,13822606,19329929,26002864,26002810,19329889,13822576,9479745,6215962,3890630,254209245,770216,770217,1350133,2329479,3890663,254667529,13822823,19330304,26003341,26001864,19329184,13822120,9479483,6215821,6215822,9479485,13822124,255643759,13190747,254639489,3665774,254437649,8992224,13190745,18562515,25112264,30759816,23337087,17070783,11981912,8030526,5119756,5119762,8030540,11981926,14604592,11998800,8051650,5142304,5142303,5131343,3119411,3119413,1828998,1043894,1043895,1829003,3126570,5140444,3128219,1828722,1043734,1043732,1828715,3128205,5142484,8051826,8157116,254391712,8065667,255145527,11986403,255145149,255145147,5149611,3134038,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3108096,3124717,1826525,1826523,3105934,4760911,7527566,5161702,5161703,8067717,8025345,8025344,5153919,5153921,3158801,3158802,5167392,5167391,3151629,3151630,5169588,5148148,3132768,1831469,1831470,3132771,5112644,5112643,3128064,3128065,3114390,3114391,3111848,3111847,3156838,254178915,1054389,1847628,3156852,3113472,1819418,1819416,3113468,4755172,3122531,3122528,4755388,4755389,4678549,2818621,2818622,4678550,7405556,254562522,4678551,4678552,5126769,254744994,3144495,1839262,1049631,590479,590478,1049629,1839259,1845296,1845295,3153604,5171683,8069121,12011145,11165640,7407346,4760804,2869703,1665466,947431,947432,1665472,2869710,1866750,1064854,598503,598508,333690,333686,333696,333699,598942,1065590,1868018,3110419,3098950,3098952,5104793,3115515,3102065,3102063,3113346,2868479,1664817,947119,947120,1664823,2868493,3100990,1811806,1034685,582995,325887,179939,98939,98942,179951 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9553794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1986637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1986637, s2 = 2811063, int(edited[s2]) = 0 s1 = 1986637, s2 = 2811063, d1 = 38, d2 = 44 Dl.O(d1) = 51431543,41233439 Dl.O(d2) = 175043322,261837062,139643366,260125626,98420699,84498972,70934805,58217534,46849658,36970840,28472565,21252563,254852656,6960207,6960206,10553098,12243200,12243202,13508266,11824856,255128765,255128763,13519783,13533243,9263224,9249638,9249639,13517388,10566905,6969680,254331776,6934727,6934732,10515660,9264385,6068066,6068069,9264395,12053442,8103877,8103878,8286688,12056769,10515699,6934748,6934745,9234503,12053809,8104138,8104137,12053806,17150290,23427723,30858871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1986637, s2 = 2811063, dlinesl.size( ) = 18 s1 = 1986638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658244, s2 = 8027162, int(edited[s2]) = 0 s1 = 11658244, s2 = 8027162, d1 = 25, d2 = 27 Dl.O(d1) = 258200506 Dl.O(d2) = 41290963,41290965,33492039,25716406,19087739,19087738,25716405,25658270,25658271,268091972,11502814,7651397,7651398,11502817,16507155,16502726,16502725,22706866,255109021,11504787,16509326,22713458,22701897,16498323,16498325,11497780,11497779,16501392,15511571,10727715,268091936,19676281,19676280,26411429,22701452,22701453,30083310,30083312,22702676,22702675,24578319,18135743,255108548,3542192,2108835,1214799,725599,675798,675801,379276,228934,126118,68462,64463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658244, s2 = 8027162, dlinesl.size( ) = 2 s1 = 11658244, s2 = 8027162, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11658244, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 11656880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6730887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6430931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6430931, s2 = 6670128, int(edited[s2]) = 0 s1 = 6430931, s2 = 6670128, d1 = 17, d2 = 14 Dl.O(d1) = 255228722,12980973,267776526,11698934,7803062,4948364,2986529,1733835,1733834,2986527,254292032,30382659,38968804,269362037 Dl.O(d2) = 257153909,49125022,49125021,257627320,86691022,100663610,114709051,128605821,114709029,268672696,48952288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6792486, s2 = 4689009, int(edited[s2]) = 0 s1 = 6792486, s2 = 4689009, d1 = 40, d2 = 31 Dl.O(d1) = 258529182,257741361,47125322,256744068,32488499,32488498,41336633,51559177,63277722,258982017,90114140,104247586,118406701,261390605,145450388,157849843,169277103,179526946,188542602,196394534,203108493,203108490,203108491,208730609,213348906,217129134,216691145 Dl.O(d2) = 262269817,176647250,186063775,194271766,197584734,189937996,189937995,189937992,181069073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792486, s2 = 4689009, dlinesl.size( ) = 26 s1 = 8087638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 982345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3540405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3540405, s2 = 6983391, int(edited[s2]) = 0 s1 = 3540405, s2 = 6983391, d1 = 65, d2 = 54 Dl.O(d1) = 118597502,118597503,104412960,90260497,76429645,63385914,51643322 Dl.O(d2) = 260952611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3540405, s2 = 6983391, dlinesl.size( ) = 2 s1 = 3540405, s2 = 6983391, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3540405, Dl.E( ) = 70, 2.1e-05 seconds used appending s1 = 8147156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1634038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1991919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1991919, s2 = 15717300, int(edited[s2]) = 0 s1 = 1991919, s2 = 15717300, d1 = 13, d2 = 8 Dl.O(d1) = 51694424,51694425,63444370,51694438,41444131,32577474,24920587,24920586,32577473,41444129,51694436,63444383,51694456,41444143,41444144,51694458,63444404,51694454,41444141,32577479,269872854,63444365,76491846,90321194,76491870,63444397,63444396,270340047,60075364,48679175,48679176,60075365,72812685,86407779,260034839,128263458,128263452,128263451,128263450,128263449,141613780,154269551,166022179,154269557,154269556,166022184,176663181,176663185,176663184,179519264,179519263,188535754,186079321,186079322,263924775,186079313,186079314,194286662,186079315,263572373,194286661,194286660,194335719,194335720,194335722,186133478,176721529,176721528,186133472,186133473,193798234,185538273,176074181,165392219,153611021,153611022,153611007,140943808,127594300,261165045,153611004,140943824,127594313,113725731,99711523,99711522,113725730,127594310,127594317,113725746,259455114,72163052,72163053,85757564,99711537,85757566,85757565,99711539,260588375,140943834,140943830,260670738,99711535,261165049,153611033,273120623,177170838,166598143,261713288,142264018,154898163,166598138,177170833,177170839,177170840,179411777,273413632,169142556,261900770,145288306,261900768,145288304,262423331,169142548,157699736,157699737,145288311,145288310 Dl.O(d2) = 195095229,202010110,201049751,193990929,185752557,185752558,193990931,263447434,165633896,153853738,141178067,141178066,153853736,165633894,176306109,185752573,263042226,165633887,153853730,141178055,141178056,153853731,153853734,141178058,127815592,127815593,127815595,127815596,261572482,260420996,99912338,260004619,127815587,261182103,153853713,141178045,141178044,153853711,165633877,263159339,165633919,165633920,176306125,185752582,190548564,263753559,263753561,190548566,198089185,198089184,199841265,263472210,261617682,125715930,272166662,125715929,261065127,260486057,97961070,84087243,70550374,258013777,52861579,52861580,64781081,256444058,46492383,43378675,34279978,34279979,26406959,254244890,14102287,15441878,10675831,10675832,15441886,17733627,17733628,24091178,24091177,30256599,22861241,16634618,11603559,11603557,11603558,16634616,255168612,255168610,38840128,30256594,30256595,38840130,39524349,49457959,256007358,86484556,100441718,107087658,92747317,78684101,78684102,92747319,107087659,121384953,135234937,122372493,107945853,93508288,255975336,107945857,122372497,269371062,140618361,140618360,146707508,146707509,142361182,142361181,155009147,165877471,154110474,154110473,141439450,128074096,128074097,128074102,114187520,100157250,93491287,79354740,65987812,53919157,53919156,65987810,79354737,74277013,74276973,74276974,74277003,74277020,61500241,50021981,257649805,74277072,61500217,61500218,74277074,259504977,115898610,115898599,101852496,101852495,260716539,260119763,87879270,74276968,74276967,74276965,61500127,61500128,74276966,87879269,101852437,259504975,74277046,87879328,87879330,259249058,101852528,260021437,100157239,114187510,128074094,141439448,128074098,114187514,259403965,72597292,59859739,48468756,48468757,59859742,72597299,86194588,72597289,72597288,86194587,100157237,259253664,74276981,83959185,83959186,258627398,50021918,50021919,61500145,74276964,87879267,74277069,61500215,50021963,40003587,40003588,50021966,61500216,74277071,87879350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1991919, s2 = 15717300, dlinesl.size( ) = 18 s1 = 612104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2345528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1992925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1992925, s2 = 11133224, int(edited[s2]) = 0 s1 = 1992925, s2 = 11133224, d1 = 2, d2 = 51 Dl.O(d1) = 51754887 Dl.O(d2) = 40976784,51119063,51119062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1992925, s2 = 11133224, dlinesl.size( ) = 2 s1 = 1992925, s2 = 11133224, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1992925, Dl.E( ) = 88, 2.5e-05 seconds used appending s1 = 1636051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1636051, s2 = 6816900, int(edited[s2]) = 0 s1 = 1636051, s2 = 6816900, d1 = 0, d2 = 0 Dl.O(d1) = 41486749,257748021,73109190,258813349,100691020,114740962 Dl.O(d2) = 41486749,257748021,73109190,258813349,100691020,114740962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1636051, s2 = 6816900, dlinesl.size( ) = 2 s1 = 1636051, s2 = 6816900, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1636051, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6571595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1547818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1547818, s2 = 16298322, int(edited[s2]) = 0 s1 = 1547818, s2 = 16298322, d1 = 76, d2 = 65 Dl.O(d1) = 39229161,256603616,41516018 Dl.O(d2) = 254639821,2195431,1275456,1275454,2195425,3667602,5873550,7511952,8997019,5873908,3667669,3667668,5873904,8997010,8996226,8996225,13196740,13198715,8997477,8997478,13198717,18573637,25126068,25113500,18563321,18563322,18572370,13198635,8997429,8997428,13198633,255401855,15418227,255832613,32828429,25124265,18572236,18572235,25124259,32828024,25123726,268484291,41747237,52061059,41747318,257175061,41749635,41749882,52061307,257067445,31329455,23838083,17498252,17498251,15139405,10441713,9479840,6216006,3890650,3890649,6216004,9479836,13822746,254502688,10686981,15456494,21455446,255839940,10711647,255839939,256872851,270296203,130334322,130334321,116497718,259541816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1547818, s2 = 16298322, dlinesl.size( ) = 14 s1 = 13480207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9022848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8095511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7982921, s2 = 10178740, int(edited[s2]) = 0 s1 = 7982921, s2 = 10178740, d1 = 25, d2 = 33 Dl.O(d1) = 257070698,3130457,3130458,5128431,3117071,3117069,5128429,8038229,5152079,3136200,1833670,1833671,3136204,5152083,8059906,8038338,5145231,5145232,8054325,5167772,3149985,3149984,3150027,1842921,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037552,1817120,2866774,2866773,3150375,3134634,1832699,1832698,3134627,3143229,3111274,1827496,1043091,587230,587231,254177807,1045777,1832499,3134323,5149872,8037083,7527358,5038587,5038586,5139291,5150024,3134467,1832580,1045822,1045823,1045829,1045830,1664229,2867425,1664225,1664210,946829,946828,1664205,2867399,1832166,1832167,3133839,5149386,5163499,5163500,8069121,12011145,11165640,7407346,4760804,2869703,1665466,947431,947432,1665472,2869710,1866750,1064854,598503,598508,333690,333686,333696,333699,598942,1065590,1868018,3110419,3098950,1810640,1034085,582704,582703,1034080,1810629,1836854,3140944,5157435,5145113,5107757,5107758,5143451,4763183,2871279,1666381,1666378,1843627,1843653,1830436,1044686,588035,588034,1044683,1830429,3131126,5138109,3124800,1826573,1042592,586999,327776,180787,180785,327766,586978,1042552,254256933,2868944 Dl.O(d2) = 256287832,254716030,267958984,29318446,26159093,19459501,13926189,254671739,3927042,2350979,1361904,1361905,254308617,6272090,9558678,13926196,13926197,13742683,9415716,9415715,9558665,13926166,19459469,19238098,19238099,25898615,25898602,19459785,13926380,13926379,19433476,19433469,19433471,259345557,269799935,4576521,4576526,7256412,7137901,4493981,2699998,2699996,4493973,7135217,7135215,7164981,7164980,7316045,7316046,7245324,4568032,4568034,7137140,4493424,4493427,7132558,7133872,4491387,4491385,7133868,10792822,7411196,7134677,7134679,10798338,11034493,11310302,7509112,7509110,4746874,2860714,2860712,3294675,4492137,4492139,7135257,10434484,12596115,17795404,24163083,29706671,22351613,17317692,16267928,16267929,16738337,15657258,10839205,10839206,7509913,4747052,4747050,268379078,4746643,7509291,10329835,6798143,6798144,7509278,4746637,4746635,4747478,7306978,4611122,2821677,2821678,2711898,2711900,4513147,4513230,5520705,4746741,4746740,4512331,2711419,1570735,1570737,254339395,4511896,2711176,1570616,893137,893138,1570889,2711712,4512567,4512068,4512070,7164037,5099509,5099512,7712154,7163422,5099629,3095342,2861541,2861542,1705429,969441,969442,1705435,2940977,4513623,4513622,4747310,4747312,4683727,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682815,4512147,2711318,1637046,1637045,2821798,4683431,4512005,4512004,255049355,18594134,16085766,16085765,22217165,28912625,21638202,15606490,15606489,15652006,10833607,7161384,7161385,10833617,15606429,10797162,10797160,15606427,21638149,255807896,17273187,12152473,12152475,15606830,13375989,13375991,16269748,15606899,10797514,9142308,5982670,5982668,9142303,12187547,12187548,17312014,12229225,8256936,5326736,5326737,8256941,12229235,17359273,23679600,28262748,21060730,21060731,28262749,30743165,23322401,23322400,30413259,23679589,21637743,17057302,11966248,11966247,12624211,17828942,16180678,16180677,12288284,12288283,12213571,8244045,5315715,3264941,1918977,1918975,2917361,2917362,3290388,3290387,1935003,1105233,620157,620158,1105239,1935020,3290470,5353800,7137274,10801861,15612589,21519254,17754454,17754455,22563579,22025947,15924958,11047907,11047905,15924953,255177475,12369461,17537618,22021090,23627615,23627614,21637689,15605837,15605836,21637687,18864004,268025521,9190456,10796793,10796792,255849289,268911170,28782527,22026663,15925790,11048907,11048908,12180480,8212331,5283527,3236533,3236534,4515324,4515325,7169302,8201582,10801797,15612513,10801794,10801793,15612512,17284481,12163743,8194962,254836251,12150945,255158703,11047519,15920348,11042676,8191982,7520909,4755011,4755009,5253717,7317842,7317841,8149792,7310509,7304880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7982921, s2 = 10178740, dlinesl.size( ) = 36 s1 = 6677238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170433, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6531061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6531061, s2 = 10979522, int(edited[s2]) = 0 s1 = 6531061, s2 = 10979522, d1 = 12, d2 = 10 Dl.O(d1) = 255638922 Dl.O(d2) = 254293920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6531061, s2 = 10979522, dlinesl.size( ) = 18 s1 = 10168312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1997115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1998297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1641306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7576312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7576312, s2 = 10140128, int(edited[s2]) = 0 s1 = 7576312, s2 = 10140128, d1 = 2, d2 = 1 Dl.O(d1) = 268323242 Dl.O(d2) = 52002769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7576312, s2 = 10140128, dlinesl.size( ) = 8 s1 = 1641990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1641990, s2 = 14218019, int(edited[s2]) = 0 s1 = 1641990, s2 = 14218019, d1 = 0, d2 = 7 Dl.O(d1) = 41701209 Dl.O(d2) = 270136212,105742057,91518427,77587420,77587421,88052367,74440640,61656685,50170651,50170652,61656687,74440642,269636490,57732057,46381985,36522442,28057214,20887411,14984285,14984288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1641990, s2 = 14218019, dlinesl.size( ) = 2 s1 = 1641990, s2 = 14218019, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1641990, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 13163697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13163697, s2 = 6212457, int(edited[s2]) = 0 s1 = 13163697, s2 = 6212457, d1 = 140, d2 = 45 Dl.O(d1) = 21297749,22023974,22023975,22106303,29439600,32118056,25087628,18542768,18542767,25087627,32785483,30764706,23341446,23341444,30764704,32786786,32786785,37287016,28752808,21493242,21493240,28752804,37287014,41702764 Dl.O(d2) = 244038353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13163697, s2 = 6212457, dlinesl.size( ) = 14 s1 = 13503127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13503127, s2 = 2260150, int(edited[s2]) = 0 s1 = 13503127, s2 = 2260150, d1 = 3, d2 = 115 Dl.O(d1) = 30112459,38688496,48604395,59996220 Dl.O(d2) = 49203514,60604363 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163552, s2 = 14558980, int(edited[s2]) = 0 s1 = 14163552, s2 = 14558980, d1 = 21, d2 = 15 Dl.O(d1) = 259504330,101595431,87628198,74024234,61243928,49765149,39746682,31068570,23584328,255546609,12151021,8180953,5250522,3207909,3207910,269389565,87628199,101595432,115635927,129521130,119234938,260861404,90863980,258394908,52056073 Dl.O(d2) = 269977655,90863978,105042569,100421987,86465255,72869825,60133132,48738387,38818170,30234901,22842000,255499283,11592609,255116951,22841999,22846593,16622985,11595175,11592603,10499047,10499044,255814527,36899374,46777154,58144721,271296893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163552, s2 = 14558980, dlinesl.size( ) = 8 s1 = 9466397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466397, s2 = 14343563, int(edited[s2]) = 0 s1 = 9466397, s2 = 14343563, d1 = 5, d2 = 3 Dl.O(d1) = 32821850,32821852,41742855,52057501,63876536,52057488,256620459,25117752,25117751,18566921,18566920,25117754,32821854,41742858,52057504,63876548,76987670,63876563,52057516,41742867,32821863,25117761,18566925,18566924,25117760,32821861,32821865,25117762,25117763,32821867,41742860,41742859,41742861,52057506,61461372,74240472,87845598,101819769,105044848,105044847,116177434,116177433,114715760,105044855,105044856,115638648,102119675,88131615,74519319,74519318,88131614,91497886,91497885,77566752,64398402,52524584,42166152,33205975,33205974,42166151,52524583,53026265,53026266,65000950,78273927,92300715,106598756,119958032,259308606 Dl.O(d2) = 47263109,58655004,53206601,42757014,33727409,25920728,25920727,33727407,28814641,21546287,255623990,17233900,17233901,23542207,25920721,25920720,23542199,23542200,31023414,39700483,256591942,25920729,31183058,31183059,39865425,37353527,28814643,21546288,21546289,28814644,31023426,23542208,23542209,28814639,28814638,37353520,47263102,58654994,71390107,84964861,98890412,112878212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466397, s2 = 14343563, dlinesl.size( ) = 2 s1 = 9466397, s2 = 14343563, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9466397, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 8322773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13283413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13283413, s2 = 8354378, int(edited[s2]) = 0 s1 = 13283413, s2 = 8354378, d1 = 107, d2 = 18 Dl.O(d1) = 1275102,1275103,2194998,3667067,5872912,8995374,8995494,5872986,3667079,3667080,5872991,8055246,12001939,17089608,15544145,15544144,21566392,18568248,13194934,13194935,18568250,256105891,268386876,47682359,39982393,31307017,23819633,17484319,15527176 Dl.O(d2) = 72474148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13283413, s2 = 8354378, dlinesl.size( ) = 40 s1 = 9437544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9437544, s2 = 11454780, int(edited[s2]) = 0 s1 = 9437544, s2 = 11454780, d1 = 10, d2 = 19 Dl.O(d1) = 75325575,62425874,50842124,40736163,31987262,24432124,24432123,21702471,15661773,10841973,10841972,254814514,255318958,47437917,37824312,37824313,255733152,31987257,40736157,50842117,62425868,258937013,103125345,117241514,105062002,90883249,77004635,63893950,52075715,41762604,41762603 Dl.O(d2) = 196891415,203516049,203516048,203516047,205549106,264254046,199317390,191951883,183389909,183389910,191951885,199317392,199317396,199317397,199317413,191951904,183389936,183389937,191951872,183389897,173596128,272582054,150438363,150438374,150438375,162566375,173596147,183389920,191951893,183389916,183389917,191951895,264042507,263938780,180212467,180212468,189150683,191951898,199317403,196891416,196891417,203516050,205549114,264617323,203516044,203516043,209063810,213617165,217345770,220450877,220450878,223088120,225363858,227341488,229070596,230596247,231953991,231982421,230629965,229112096,227393716,225428906,223168849,220553857,220553858,220553860,217479088,213792651,209300056,264623115,213792650,209300055,203823348,263710965,180673674,180673673,180673677,170540448,170540449,180673678,189573010,197263205,263710967,180673679,262461017,260856625,91233789,259016771,269495223,41974372,33031134,25304627,18729253,18729252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9437544, s2 = 11454780, dlinesl.size( ) = 8 s1 = 1645250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1299412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1299412, s2 = 5304597, int(edited[s2]) = 0 s1 = 1299412, s2 = 5304597, d1 = 0, d2 = 10 Dl.O(d1) = 32792983,32792984,41708910,32792985,256618239,32792989,25094129,18547545,13178566,13178565,18547543,256618241,257761693,257480049,256900151,256900149,37700771,37700772,37700774,47623736,47623738,37700776,29140012,29140011,29140000,21832470,21832471,29140001,37700761,41775008,32854252,32854253,41775010,47623721,37700755,29139997,29139998,256900147,41775007,34315678,26437240,26437241,34315681,43416768,41774783,32854019,25147235,18591045,13211227,13211228 Dl.O(d2) = 212782275,216679231,216679229,212782273,208016265,202236878,195363210,187323571,187323570,195363208,202236875,195363204,195363202,187323565,178086771,178086770,187323563,195363199,264049296,187323568,178086774,178086773,187323567,187323578,263337390,167624169,156015900,143478630,130149330,116239869,102179018,88187944,88187945,102179020,116239872,130149336,143478628,130149328,116239867,116239868,272271225,143478638,143478637,133644178,261431527,159268384,170603638,180732791,170603636,159268383,262203780,119774525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1299412, s2 = 5304597, dlinesl.size( ) = 2 s1 = 1299412, s2 = 5304597, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1299412, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 1645858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1645858, s2 = 7125249, int(edited[s2]) = 0 s1 = 1645858, s2 = 7125249, d1 = 0, d2 = 33 Dl.O(d1) = 41790835 Dl.O(d2) = 158717411,262914073,189191432,196935381,203554192,209088929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1645858, s2 = 7125249, dlinesl.size( ) = 16 s1 = 2003208, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1236394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1236394, s2 = 1993769, int(edited[s2]) = 0 s1 = 1236394, s2 = 1993769, d1 = 9, d2 = 9 Dl.O(d1) = 31208279,23721870,17398011,17398012,13260996,9048468,5915035,3697990,2214581,2214580,3697987,5915030,9048460,13260985,18649636,25215367,29764091,25191331,254435116,41826215,52143691,63966997,77084072,76671761,63585172,51799288,51799287,63585171,76671760,76671758,76671757,90535360,260235021 Dl.O(d2) = 31208279,23721870,17398011,17398012,13260996,9048468,5915035,3697990,2214581,2214580,3697987,5915030,9048460,13260985,18649636,25215367,29764091,25191331,254435116,41826215,52143691,63966997,77084072,76671761,63585172,51799288,51799287,63585171,76671760,76671758,76671757,90535360,260235021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1236394, s2 = 1993769, dlinesl.size( ) = 2 s1 = 1236394, s2 = 1993769, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1236394, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13961539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6615996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6425205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9121562, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7981455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8277984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8277984, s2 = 8264743, int(edited[s2]) = 0 s1 = 8277984, s2 = 8264743, d1 = 18, d2 = 22 Dl.O(d1) = 271118320,64062693,64062692 Dl.O(d2) = 64062696,64062693,64062692,52221288,41890025,256108873,25234895,32954716,41890029,38672349,30095144,255108340,11498335,11498336,13143477,11502819,11497956,11497957,16501657,21522004,15510131,10726665,10726664,7653336,4842470,4842471,255108932,5741035,5741036,8812807,10726969,15510535,21522415,25524622,25203976,257766543,257137218,272575328,154355070,154355069,154355070,258801644,128357469,141705452,154355071,260642710,261218692,166102009,271822312,186146493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8277984, s2 = 8264743, dlinesl.size( ) = 18 s1 = 13510421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9694105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1649738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1649738, s2 = 2693911, int(edited[s2]) = 0 s1 = 1649738, s2 = 2693911, d1 = 9, d2 = 5 Dl.O(d1) = 41916177,52254264 Dl.O(d2) = 77249547,91167997,260254701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1649738, s2 = 2693911, dlinesl.size( ) = 2 s1 = 1649738, s2 = 2693911, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1649738, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 28795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 28795, s2 = 7831394, int(edited[s2]) = 0 s1 = 28795, s2 = 7831394, d1 = 1, d2 = 1 Dl.O(d1) = 152351,152261,152257,152818,152817,277124,494336,876394,1542680,2664687,4437474,254734067,255835159,37206485,255835147,15439372,10673881,10673882,15439374,21433276,17477539,17477540,23811452,21433294,21433295,28682782,255835144,47103190,47103192,47103218,37206520,28682809,21433320,15439403,10673898,255035703,21433313,28682799,37206502,28682791,21433307,255835155,256867017,31297474,256326259,21433302,21433301,28682788,37206495,37206497,268384287,21433303,21404455,255832447,37162494,37265624,47171730,50202348,40178727,40178726,50202346,61685595,74468871,88081375,102067910,102067913,102067914,260731585,261479426,121144237,106875937,106875938,121144239,127373633,260354726,98591366,84667837,257858518,58387798,258674355,93373469,259736841,122201023,121144206,121144207,107795712,107795714,122200998,136163533,131939989,118124659,118124660,260937130,259722114,76024004,63040967,63040966,76024002,259596385,76023984,76023983,270800174,118043493,103901911,89800946,89800945,100185661,90901357,90901358,259896762,118601102,104417221,104417220,98795277,98795278,87851217,74246479,74246480,87851219,101825666,95207621,95207622,87851234,74246493,74246494,87851236,101825686,102603751,113010799,99023003,89857573,89857574,95207628,95207629,109462254,103975192,89857525,76063972,63069060,257146009,32372222,24753742,24753743,32372225,41190611,51380867,63069076,76063986,63069069,51380861,51380860,63069067,76063983,89857526,76064058,76064057,77021787,77021788,259598859,89209444,75457201,62534688,62534687,75457200,89209443,103304812,102603760,102603759,88595738,74953713,74953714,76064054,63069109,51380883,41190619,32372229,256593683,51380886,258345711,55392641,55392601,256751807,27079877,27079878,35167709,44545356,35167725,27079887,20182596,14480380,14480379,20182594,27079882,35167700,44545346,55392589,67732832,259157304,81198393,67732917,55392659,44545384,44545385,55392662,67732924,81198450,95254519,95254516,95254517,95254588,109508882,109508884,119904185,105668193,105668192,109508869,95254563,81198367,256743126,106726973,105668172,91444761,77514875,259028609,77514860,77514861,91444739,105668137,101630716,87663283,74059334,61279749,49801508,49801506,61279714,49801487,39782399,31103623,31103625,257049761,58633122,58633123,71369760,84945873,257632374,84945858,71369746,71369747,74059475,71369739,58633105,58633104,71369737,61279743,49801502,39782408,39782409,49801504,61279746,71415867,58682115,48668691,38746938,30163524,30163523,38746934,48668703,60065006,58530821,58530822,71262555,71415842,58682094,268924037,37381762,47291028,38746931,30163522,22774292,16559300,16559301,22774294,30163528,38746944,48668713,60065001,48668701,48668700,60064997,72802887,86398524,100355288,260267984,86398530,72802897,60065014,60065013,71415852,84989719,98915099,86398526,72802892,60065008,48668704,48668705,60065010,65256582,65256581,60058648,60058649,48668712,48668710,38746940,38746941,38740486,30157893,268233371,11539590,11539592,16555723,22769728,30157897,38740489,48661909,52256165,41917918,32977768,32977769,256270478,46390922,256807736,57741124,57741123,269293772,87076506,73459106,60710848,49308593,49308591,60710846,73459104,87076505,100350067,86393062,257232878,48661917,38740494,30157903,30157902,38740492,48661914,60058593,52256168,52256169,64105078,77251911,91170458,98927452,86393047,72797193,72797194,86393050,91170456,89177650,75430678,62512089,50911738,269435223,75430680,86393096,86393097,100350041,101630712,88128159,88128158,88128177,86393037,86393038,100350048,91170455,91170454,86393030,72797182,72797183,86393032,86393045,100350051,114374341,111742974,97820890,83961846,83961844,97820887,111742971,123462035,109265287,100350039,86393026,72797179,72797178,83961849,70435593,57741121,57741122,50256192,40236845,31550906,255580347,17694363,24047163,31550921,40236873,50256226,61734454,50256157,50256158,50256191,61734485,61734459,61734438,50256135,40236806,31550882,24047142,24047143,31550883,40236807,50256136,50911736,40794616,32036920,24473892,256061535,38746916,38746917,48668675,60064955,61734447,50256143,40236811,40236812,50256148,46399890,46399889,57750720,50256174,40236831,31550899,31550900,29410398,29410400,37973811,37973798,29410386,29410385,31550897,24047153,24047148,17694353,17694351,256032197,30163488,30163489,257560399,50911733,48668665,38746907,38746906,48668663,50256150,50256151,50911732,256570769,24473891,18053275,12798557,12798556,255460330,18781329,25364193,33097778,42045924,48668640,38746872,30163465,28071847,20900299,20900300,28071849,268648227,22771016,16556845,11540525,11540524,16556843,16559260,11542270,7678954,4858900,2928135,254363567,254793827,12332691,10326499,6795205,4260655,2547128,2547129,4260659,6795214,6812197,6812198,10317843,10317844,10338191,7678964,4858901,267895225,4297459,2569268,2569269,2547089,2547090,4260593,3309934,3308356,1947168,1112330,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275588,4275577,4275573,5719416,4298874,4275759,4275542,2556328,1472422,832763,832762,1472420,2554690,1471571,1471572,2554694,4272821,6812231,267910051,3308163,1946178,1946179,3308168,2569742,2569738,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418793,736724,254202753,3715813,4254469,4254470,6786588,10316491,10280998,10280999,10327824,10279517,10279516,9076151,5935598,5935599,9076154,255248525,25258983,20949694,15040853,15040855,20949695,18707526,13314284,13314285,18707528,18714694,23572184,17260945,12140720,12140719,15009644,15009643,20915063,19646305,14081477,9685613,6370913,3997750,2395829,2395830,3997752,6370917,9685618,14081482,19646313,19619162,19619161,26224213,26224212,19677699,14106660,9703325,9703324,13826197,19334501,26008224,256684011,34258158,26380544,19646281,14081463,9685606,9685605,14081461,19646276,256187621,34258156,34258157,26411563,26411564,26380548,19646285,19646284,256111366,19335033,26008895,19875863,14240614,14240613,19875274,14240175,9789170,6435662,6435663,9788871,6435467,4037008,2419092,1400305,797018,451776,451777,797024,1400315,2419117,4037051,6435539,254966875,19874974,26695115,19874949,14239919,9788990,9788991,14239922,19874955,26695122,23566772,23566773,31050882,39729548,49748427,61227505,56934970,45741601,36042044,27705060,20629547,20629546,27705058,36042043,43965025,43964027,34688810,26694301,26694300,34688809,43964025,39729546,39729545,49748425,61227503,74008204,80393633,66963399,54708793,43964993,34689709,26695102,19874940,14239913,14239912,19874939,26695097,34689702,43964075,34688853,34688815,26694303,255318425,254683471,4036921,2419042,2419043,4036923,6435310,9788621,14239410,19874282,26694337,19874276,255732557,34688862,43964089,54707773,54707775,54708797,66966932,55883398,44937250,44937252,55883400,64858904,269188400,66966896,54707798,54707797,54707809,52933156,42522362,33522022,256666669,52933152,64858909,78055951,91982464,91982465,91982487,106180365,96228754,96228755,110257873,106180367,91982492,78055962,258366702,257814597,78055960,91982491,106180354,106180358,120383280,111306016,97306846,83385171,69845061,69845062,68514865,68514864,82039059,91982463,91982462,97306850,96078228,82039082,68514896,56052433,56052432,68514895,69845074,57206310,45953521,36193204,27807713,20697408,20697407,27807710,36193199,45953513,57206297,68514893,258565897,259632227,257977945,57142636,69777811,69777813,57499257,57499252,46188982,46188983,57499255,60710836,73459094,82039067,68514877,56052414,56052413,56569957,56569956,69118098,82303799,68777947,56280326,45245448,45245447,257348235,68777951,82303803,96314884,258778618,56280347,45245463,35703004,27488076,27488077,35703006,45245467,256964946,255924318,80406880,94466714,83385158,69845053,57206286,260456139,261581623,134007548,134007547,261026573,110737658,110737659,124535583,110507205,96380108,82376150,82376149,96282015,259824449,82194747,82194745,96220071,110375191,124205243,124205242,260441965,82704339,82704340,272073452,258566773,96106748,260427799,137874665,260372930,96535555,96535556,110639676,107947098,107947097,97304102,83381974,69841500,257370899,268191963,10205069,268191965,27806633,36191365,255608310,69841512,83381978,82445243,68921060,56403889,45337427,45337417,45337416,56403879,57309419,55946718,257941115,69953959,57305677,258606505,75831676,62867134,62867133,257348111,45241394,45241393,44985913,35516717,27358963,27358961,35516669,255773989,14790268,14790267,20624085,27619047,20574438,20574434,27619052,35908387,45549057,55946475,68393832,258573621,45240314,35699694,255768461,20488582 Dl.O(d2) = 152351,152261,152257,152818,152817,277124,494336,876394,1542680,2664687,4437474,254734067,255835159,37206485,255835147,15439372,10673881,10673882,15439374,21433276,17477539,17477540,23811452,21433294,21433295,28682782,255835144,47103190,47103192,47103218,37206520,28682809,21433320,15439403,10673898,255035703,21433313,28682799,37206502,28682791,21433307,255835155,256867017,31297474,256326259,21433302,21433301,28682788,37206495,37206497,268384287,21433303,21404455,255832447,37162494,37265624,47171730,50202348,40178727,40178726,50202346,61685595,74468871,88081375,102067910,102067913,102067914,260731585,261479426,121144237,106875937,106875938,121144239,127373633,260354726,98591366,84667837,257858518,58387798,258674355,93373469,259736841,122201023,121144206,121144207,107795712,107795714,122200998,136163533,131939989,118124659,118124660,260937130,259722114,76024004,63040967,63040966,76024002,259596385,76023984,76023983,270800174,118043493,103901911,89800946,89800945,100185661,90901357,90901358,259896762,118601102,104417221,104417220,98795277,98795278,87851217,74246479,74246480,87851219,101825666,95207621,95207622,87851234,74246493,74246494,87851236,101825686,102603751,113010799,99023003,89857573,89857574,95207628,95207629,109462254,103975192,89857525,76063972,63069060,257146009,32372222,24753742,24753743,32372225,41190611,51380867,63069076,76063986,63069069,51380861,51380860,63069067,76063983,89857526,76064058,76064057,77021787,77021788,259598859,89209444,75457201,62534688,62534687,75457200,89209443,103304812,102603760,102603759,88595738,74953713,74953714,76064054,63069109,51380883,41190619,32372229,256593683,51380886,258345711,55392641,55392601,256751807,27079877,27079878,35167709,44545356,35167725,27079887,20182596,14480380,14480379,20182594,27079882,35167700,44545346,55392589,67732832,259157304,81198393,67732917,55392659,44545384,44545385,55392662,67732924,81198450,95254519,95254516,95254517,95254588,109508882,109508884,119904185,105668193,105668192,109508869,95254563,81198367,256743126,106726973,105668172,91444761,77514875,259028609,77514860,77514861,91444739,105668137,101630716,87663283,74059334,61279749,49801508,49801506,61279714,49801487,39782399,31103623,31103625,257049761,58633122,58633123,71369760,84945873,257632374,84945858,71369746,71369747,74059475,71369739,58633105,58633104,71369737,61279743,49801502,39782408,39782409,49801504,61279746,71415867,58682115,48668691,38746938,30163524,30163523,38746934,48668703,60065006,58530821,58530822,71262555,71415842,58682094,268924037,37381762,47291028,38746931,30163522,22774292,16559300,16559301,22774294,30163528,38746944,48668713,60065001,48668701,48668700,60064997,72802887,86398524,100355288,260267984,86398530,72802897,60065014,60065013,71415852,84989719,98915099,86398526,72802892,60065008,48668704,48668705,60065010,65256582,65256581,60058648,60058649,48668712,48668710,38746940,38746941,38740486,30157893,268233371,11539590,11539592,16555723,22769728,30157897,38740489,48661909,52256165,41917918,32977768,32977769,256270478,46390922,256807736,57741124,57741123,269293772,87076506,73459106,60710848,49308593,49308591,60710846,73459104,87076505,100350067,86393062,257232878,48661917,38740494,30157903,30157902,38740492,48661914,60058593,52256168,52256169,64105078,77251911,91170458,98927452,86393047,72797193,72797194,86393050,91170456,89177650,75430678,62512089,50911738,269435223,75430680,86393096,86393097,100350041,101630712,88128159,88128158,88128177,86393037,86393038,100350048,91170455,91170454,86393030,72797182,72797183,86393032,86393045,100350051,114374341,111742974,97820890,83961846,83961844,97820887,111742971,123462035,109265287,100350039,86393026,72797179,72797178,83961849,70435593,57741121,57741122,50256192,40236845,31550906,255580347,17694363,24047163,31550921,40236873,50256226,61734454,50256157,50256158,50256191,61734485,61734459,61734438,50256135,40236806,31550882,24047142,24047143,31550883,40236807,50256136,50911736,40794616,32036920,24473892,256061535,38746916,38746917,48668675,60064955,61734447,50256143,40236811,40236812,50256148,46399890,46399889,57750720,50256174,40236831,31550899,31550900,29410398,29410400,37973811,37973798,29410386,29410385,31550897,24047153,24047148,17694353,17694351,256032197,30163488,30163489,257560399,50911733,48668665,38746907,38746906,48668663,50256150,50256151,50911732,256570769,24473891,18053275,12798557,12798556,255460330,18781329,25364193,33097778,42045924,48668640,38746872,30163465,28071847,20900299,20900300,28071849,268648227,22771016,16556845,11540525,11540524,16556843,16559260,11542270,7678954,4858900,2928135,254363567,254793827,12332691,10326499,6795205,4260655,2547128,2547129,4260659,6795214,6812197,6812198,10317843,10317844,10338191,7678964,4858901,267895225,4297459,2569268,2569269,2547089,2547090,4260593,3309934,3308356,1947168,1112330,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275588,4275577,4275573,5719416,4298874,4275759,4275542,2556328,1472422,832763,832762,1472420,2554690,1471571,1471572,2554694,4272821,6812231,267910051,3308163,1946178,1946179,3308168,2569742,2569738,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418793,736724,254202753,3715813,4254469,4254470,6786588,10316491,10280998,10280999,10327824,10279517,10279516,9076151,5935598,5935599,9076154,255248525,25258983,20949694,15040853,15040855,20949695,18707526,13314284,13314285,18707528,18714694,23572184,17260945,12140720,12140719,15009644,15009643,20915063,19646305,14081477,9685613,6370913,3997750,2395829,2395830,3997752,6370917,9685618,14081482,19646313,19619162,19619161,26224213,26224212,19677699,14106660,9703325,9703324,13826197,19334501,26008224,256684011,34258158,26380544,19646281,14081463,9685606,9685605,14081461,19646276,256187621,34258156,34258157,26411563,26411564,26380548,19646285,19646284,256111366,19335033,26008895,19875863,14240614,14240613,19875274,14240175,9789170,6435662,6435663,9788871,6435467,4037008,2419092,1400305,797018,451776,451777,797024,1400315,2419117,4037051,6435539,254966875,19874974,26695115,19874949,14239919,9788990,9788991,14239922,19874955,26695122,23566772,23566773,31050882,39729548,49748427,61227505,56934970,45741601,36042044,27705060,20629547,20629546,27705058,36042043,43965025,43964027,34688810,26694301,26694300,34688809,43964025,39729546,39729545,49748425,61227503,74008204,80393633,66963399,54708793,43964993,34689709,26695102,19874940,14239913,14239912,19874939,26695097,34689702,43964075,34688853,34688815,26694303,255318425,254683471,4036921,2419042,2419043,4036923,6435310,9788621,14239410,19874282,26694337,19874276,255732557,34688862,43964089,54707773,54707775,54708797,66966932,55883398,44937250,44937252,55883400,64858904,269188400,66966896,54707798,54707797,54707809,52933156,42522362,33522022,256666669,52933152,64858909,78055951,91982464,91982465,91982487,106180365,96228754,96228755,110257873,106180367,91982492,78055962,258366702,257814597,78055960,91982491,106180354,106180358,120383280,111306016,97306846,83385171,69845061,69845062,68514865,68514864,82039059,91982463,91982462,97306850,96078228,82039082,68514896,56052433,56052432,68514895,69845074,57206310,45953521,36193204,27807713,20697408,20697407,27807710,36193199,45953513,57206297,68514893,258565897,259632227,257977945,57142636,69777811,69777813,57499257,57499252,46188982,46188983,57499255,60710836,73459094,82039067,68514877,56052414,56052413,56569957,56569956,69118098,82303799,68777947,56280326,45245448,45245447,257348235,68777951,82303803,96314884,258778618,56280347,45245463,35703004,27488076,27488077,35703006,45245467,256964946,255924318,80406880,94466714,83385158,69845053,57206286,260456139,261581623,134007548,134007547,261026573,110737658,110737659,124535583,110507205,96380108,82376150,82376149,96282015,259824449,82194747,82194745,96220071,110375191,124205243,124205242,260441965,82704339,82704340,272073452,258566773,96106748,260427799,137874665,260372930,96535555,96535556,110639676,107947098,107947097,97304102,83381974,69841500,257370899,268191963,10205069,268191965,27806633,36191365,255608310,69841512,83381978,82445243,68921060,56403889,45337427,45337417,45337416,56403879,57309419,55946718,257941115,69953959,57305677,258606505,75831676,62867134,62867133,257348111,45241394,45241393,44985913,35516717,27358963,27358961,35516669,255773989,14790268,14790267,20624085,27619047,20574438,20574434,27619052,35908387,45549057,55946475,68393832,258573621,45240314,35699694,255768461,20488582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 28795, s2 = 7831394, dlinesl.size( ) = 2 s1 = 28795, s2 = 7831394, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 28795, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 10169708, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2007452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2007452, s2 = 8127459, int(edited[s2]) = 0 s1 = 2007452, s2 = 8127459, d1 = 10, d2 = 33 Dl.O(d1) = 52263985 Dl.O(d2) = 25261715,18690191,13320445,13320447,13323794,14930101,10266836,6746446,6746445,255358209,14964296,20866363,17186777,12084896,12084900,10986953,10986954,15852676,268149818,258101249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2007452, s2 = 8127459, dlinesl.size( ) = 18 s1 = 13337127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8063065, s2 = 15213975, int(edited[s2]) = 0 s1 = 8063065, s2 = 15213975, d1 = 13, d2 = 8 Dl.O(d1) = 36635475,28160772,20981158,15069061,10392389,6849593,4298140,2569695,2569698,2569817,4298320,2569840,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467144,1467145,2546718,2547910,2547911,4240560,4240561,5924071,3704345,3704347,5924077,9060407,13275579,13299309,10322824,10322825,13302880,13302881,18695906,25267695,32991634,41932335,52271255,64120417,77267473,91186744,105408718,119645567,133518498,261420791,159151453,161230342,148916611,135669088,121725263,107344322,92939797,78833260,258532404,53479206,43002292,33946446,33813712,29017212,21728948,15682236,10856751,10856749,15682242,21728965,29017239,29017262,23134766,23134763,21728003,15681675,10856388,7177593,7177595,9439247,13548913,9275482,9275478,9450206,13783448,19169129,17772056,17772058,24135896,31642587,40331413,50358376,61842345,74634457,88264681,102262882,116356964,130194869,143523717,140570515,127225184,113367085,99365736,85423225,71835839,71835838,74187792,87791809,101764593,115810656,129709332,260577362,167221831,177719451,186999225,186999226,195082018,195082019,201997140,207812690,212606361,216523520,219772371,222514858,224869913,226914202,228695549,230263675,231657372,232910221,231657374 Dl.O(d2) = 235079114,235079106,235079105,236019547,235079103,234045070,232910218,232910219,234045071,235079105,274513358,231657369,232910216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8063065, s2 = 15213975, dlinesl.size( ) = 2 s1 = 8063065, s2 = 15213975, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8063065, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 1652083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9387205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9387205, s2 = 2009153, int(edited[s2]) = 0 s1 = 9387205, s2 = 2009153, d1 = 0, d2 = 0 Dl.O(d1) = 72568196,72568198,269494399,33006446,255763464,33006447,256241228,52289134,64141082,77290024,270155318,70527288,57825158,46468456,46354176,36601683,28127927,28127926,257400803,46468453,37056447,28555906,21330436,15358021,15358022,268382003,37056450,257434165,71016146,84580451,98505648,112501124,126372580,139748731,152471121,164339968,175134298,184712697,193076673,200254378,206316910,211330084,215426810,218812417,216224562,212260547,207408882,273480296,154715022,142075812,128716445,114816468,100764403,258462744,60424439,256693944,34629800,26639879,19827826,19827825,19828501,26639865,34629785,43902253,54645409,66902611,65200461,53214644,42764835,33734785,25927716,19265714,13770221,9439899,6187991 Dl.O(d2) = 72568196,72568198,269494399,33006446,255763464,33006447,256241228,52289134,64141082,77290024,270155318,70527288,57825158,46468456,46354176,36601683,28127927,28127926,257400803,46468453,37056447,28555906,21330436,15358021,15358022,268382003,37056450,257434165,71016146,84580451,98505648,112501124,126372580,139748731,152471121,164339968,175134298,184712697,193076673,200254378,206316910,211330084,215426810,218812417,216224562,212260547,207408882,273480296,154715022,142075812,128716445,114816468,100764403,258462744,60424439,256693944,34629800,26639879,19827826,19827825,19828501,26639865,34629785,43902253,54645409,66902611,65200461,53214644,42764835,33734785,25927716,19265714,13770221,9439899,6187991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9387205, s2 = 2009153, dlinesl.size( ) = 2 s1 = 9387205, s2 = 2009153, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9387205, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1652148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6834201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1652228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6587496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6587496, s2 = 1326622, int(edited[s2]) = 0 s1 = 6587496, s2 = 1326622, d1 = 59, d2 = 18 Dl.O(d1) = 256282832 Dl.O(d2) = 33347713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6587496, s2 = 1326622, dlinesl.size( ) = 16 s1 = 9453262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6712203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6680246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6658808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 631083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 631083, s2 = 15301002, int(edited[s2]) = 0 s1 = 631083, s2 = 15301002, d1 = 12, d2 = 19 Dl.O(d1) = 16160517,11227962,7450133,4707183,2835681,2835679,3725593,5957283,9104420,13324913,18718654,25292398,33018108,41960855 Dl.O(d2) = 261719032,149528514,136264460,271335550,107875027,93446730,79315551,65951400,53884552,48105690,48105691,59494326,72230444,85823487,85823488,99777275,113791429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 631083, s2 = 15301002, dlinesl.size( ) = 2 s1 = 631083, s2 = 15301002, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 631083, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 1653073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1653073, s2 = 14123262, int(edited[s2]) = 0 s1 = 1653073, s2 = 14123262, d1 = 97, d2 = 99 Dl.O(d1) = 41963569,52304041,64155583,77303960,91223790,271026219,119684884,261424043,159193538,170534381,170534387 Dl.O(d2) = 264739520,206565749,200531825,193385159,185056850,175519388,164769017,152939809,140250643,126903875,113051315,113051314,259332040,258082306,47457684,37549758,255856437,255856439,23081956,23081957,30495453,39091821,49021229,60425023,73171836,86784357,100765070,258706132,142076421,154715584,261678492,262195670,201525876,194673199,186528281,177182906,166612062,166612061,154914428,142282434,128931747,115028871,115028870,128931744,260072723,86987142,73374469,60628770,49227590,39300608,30703108,255527793,11943319,255002316,4830916,2910997,1688736,1020035,574760,574761,575708,1021757,1780690,1030352,1029737,580242,580246,1029751,1021687,1021684,1789186,1789164,1020196,1020197,1789169,1021616,1021618,1791304,3071717,3068908,3068906,5043256,3071582,1791211,1791208,1022913,576442,322564,178306,98154,54307,30736,30737,54309,98163,178326,322603,576506,1023115,1790465,1021043,575341,321998,321999,575347,1021053,841837,841839,1487824,1792467,1022367,1014977,572114,320448,177302,97685,97688,177311,320465,572146,1015031,254252341,1801052,1801053,1801055,1801054,3067329,1788061,1028434,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,894545,1024189,577297,577296,1024490,1795628,254378703,4517461,3056242,1806369,1806367,1792102,1024259,1024263,1792140,1024464,577284,322987,322988,321357,177722,177726,321342,573881,321321,321323,573886,576761,576762,1023584,1794189,3075331,267901003,3078741,3078740,5076764,7977458,255140285,11910523,11691533,7797588,7797587,11691532,11952768,255140180,11915716,7970792,7574910,4934443,4933533,4933532,4938208,4938209,7788738,11680495,7788742,7788743,267983885,4934448,4934447,7784193,7787307,4943373,2983321,2983322,4943374,7795809,11689474,11691470,268096569,11674557,11674556,11677284,7785925,7785924,11676712,7797650,7797651,11677149,11677148,11672079,11672080,11676763,255121498,7783845,7782726,4933091,4933090,7119232,4936828,4935416,4935418,7784954,4940752,2981462,2975317,1726758,981688,981690,1726767,1727138,981868,552849,552848,981863,1727125,2975898,4790937,4790939,267834517,1731313,1728580,1728579,1676138,1676137,2887906,4790950,2975819,1727080,981844,981843,1727078,2975818,4932768,4942911,4942910,4934599,4934598,4936980,2978967,2978966,254367162,4790941,267893073,2984569,1732792,985116,554529,554531,985123,1732809,2984595,2982912,1731623,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728838,1728837,2978467,4936289,4942689,2982782,1731533,984382,554227,554226,984527,1731768,2979527,4937716,4942195,7794474,7785769,4935731,4935729,4941952,2982201,1731145,984119,554019,310000,309999,554012,984106,1731121,2982165,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,983851,553867,553868,983819,1730589,2981219,4935698,2982568,1731384,984282,984283,1731390,2982578,4942410,7794676,11677904,7786404,4936228,2978438,1728825,1728826,2978443,4936235,7786416,11677921,7794007,7794006,11687465,11687652,11685097,7794798,7794800,4942520,4942521,3081126,3081125,5079926,7981813,7440176,4701228,4701229,7440179,7791632,4940208,4940209,7791634,11684508,254780816,11885511,7946116,7946115,7986082,5082608,3082595,3082592,5082603,7986075,11933402,16727315,16727314,22963854,16974819,16728100,254822038,12356492,8348480,8348479,12356489,16728241,11685555,11685556,16728239,16728155,254383194,7792443,11212915,11212914,11932188,11924617,11924615,7984737,7984738,11890771,7950557,5056588,5056590,7937084,7993642,5088347,5088346,7978425,5077630,5077629,7978436,11887249,7991627,7957165,5061101,3066266,1787350,1019127,1019128,1787369,3066298,5061156,255139705,254821700,13190085,11888671,11888670,16975853,23243231,29553130,22208351,16077652,11687427,7951073,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,8070354,11868006,16955784,13713958,9393150,6153668,6153666,9393148,13713953,16965427,16965448,16965447,267905590,11947777,17005428,23233109,267990162,23249605,16993816,11908352,7965296,5067537,3071431,1791094,1021489,1021485,1791104,3071452,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052960,7945433,8348090,7945794,5053149,5053150,7945796,254569698,5052954,7945415,11884584,12903303,8777444,254571026,16712729,17523211,22949399,30351109,25592168,18982701,18982691,13545787,13545788,18982692,17656590,12485928,12485927,17656588,24000833,31498423,268970583,60248874,48856246,38936983,255531688,46752221,256301625,21159085,21159086,21190739,21190740,28412305,36909662,46787254,46787255,58154692,70868825,84426342,259902675,126179527,139554689,152285218,164169284,163595979 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13782287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6437999, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6573777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14189925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1654641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1311289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8058606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8058606, s2 = 107118, int(edited[s2]) = 0 s1 = 8058606, s2 = 107118, d1 = 53, d2 = 0 Dl.O(d1) = 256223560,33061192,42004862,257777687,49763487,39744940,257629267,74022842,67696752,55356786,44510143,257314689 Dl.O(d2) = 2318580,2341497,2341322,2341325,2331633,2331636,3894052,254667899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8058606, s2 = 107118, dlinesl.size( ) = 2 s1 = 8058606, s2 = 107118, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8058606, Dl.E( ) = 56, 2.19e-05 seconds used appending s1 = 9699537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6695482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1746177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6622024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1656666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9142021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9142021, s2 = 14164457, int(edited[s2]) = 0 s1 = 9142021, s2 = 14164457, d1 = 1, d2 = 1 Dl.O(d1) = 11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229133,29039967,37587464,38501998,255052444,37570515,29023801,21734285,21734286,256351435,47476401,259333095,85147418,71578055,257682756,85150228,85159848,71593152,58870807,58870808,71574520,58848006,58848004,48093774,38182057,38182058,48093776,50471574,40434069,31739716,24230374,17857405,17857404,24230371,30755998,30755997,39356889,47468691,37561734,37561733,268658574,71578238,85147514,88402658,77493707,64329277,52461572,52461573,64329280,71598182,74765572,87055392,256353608,49287498,39360455,30759500,23336768,23336769,30759503,39360464,49287513,60688965,71594811,61974534,61974535,74771113,64329274,52461571,52461570,50467917,40430096,31736026,24227449,24227447,24232920,24233005,24233032,17859356,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650080,12650398,17863858,24239110,24239223,24233565,17859716,17859715,24233559,31743558,31744223,24239313,24239316,24234124,24234129,31744285,40438631,50469622,47780910,254746266,59813155,72548362,81039956,67571084,55227987,44377310,34998972,34998971,34998973,44377312,46439847,36574731,28103044,20926980,15018959,255005401,6812214,6812213,8338982,5382360,3309790,1947186,1112335,1112331,1467388,1467390,830224,830223,826220,826219,1459524,1461043,2535468,4240632,6766566,6788707,4256018,2544315,2544116,2544115,4255656,4238791,2554097,1471243,1471241,2554093,4271875,4238559,2534255,2534254,4238557,4236304,4236305,6760089,10269475,6748552,6748550,10269472,9083238,5940992,3714890,2224517,2224516,3714889,5940991,9083237,12791705,254623153,2094187,2094188,3520355,2679145,1551888,1551889,2679151,4459789,7083656,6787635,4255253,4255255,6787643,10317784,14986291,20889815,267988470,10282600,6758322,6758321,10282599,14948400,10389306,6847183,6847184,10389318,10721831,10721830,8638197,8638198,6256366,3916537,2344335,2344334,3916533,3916522,3916523,6256342,5949687,5949686,6831936,4300056,2570876,2570879,2279814,1322227,1322222,2279836,3805923,6082361,6082660,6082657,9285301,9287029,13564157,19005548,21841150,21841149,22017607,15916038,15916039,13657729,9352456,6125915,3832840,3832841,6125917,9352460,13635564,13635562,19098525,24730775,18257874,12954556,8815164,8815165,12751005,12027377,12027378,255233827,8901518,254899943,18390863,256090071,41386886,47348847,256112978,37442105,47348844,41792789,32871709,25164070,25164069,18769064,13369156,255256144,9332264,6112909,3824810,3824811,6112910,9332265,13628632,13376741,13376742,18781624,25364596,254731044,17965650,17965648,254879586,7040728,7040729,10661265,15422158,21410738,21969793,18771816,13367739,10247890,10247891,14904638,18047388,18047387,12793688,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,434913,245609,245607,434901,764619,1338637,2307037,254453875,9137420,13369604,18773606,256120645,33088222,42035715,52379260,64234680,77385013,91303280,91209359,77289215,64140245,52288252,52288253,64140248,57682250,46335263,36479463,256363172,10285658,10320763,10320762,14989624,13291430,13291431,9096108,6839996,4291760,3708450,2220861,1288347,1288345,2220871,3708474,4286152,2562517,1475652,834401,834399,1110707,1110708,1944132,3304606,2538634,2538632,3713109,2223483,2223482,3713106,5938276,9079771,13297966,10369147,6831462,6831463,10369148,14982529,14982528,20885301,17876881,17876880,20905246,26116210,26116211,29387180,22057001,15953168,11071354,7341150,7341151,7669667,5374672,5374671,6755976,10279567,254642619,5939839,5378756,3307458,1945776,1945774,3307451,4315404,254718029,8599605,8599606,9096056,13315316,15023129,12411896,12411898,17201035,15854597,10988772,10988770,15854596,13296651,13296649,15065617,15065618,255798593,28156053,28156054,36630152,37823138,29258154,29258157,29258204,25920135,19258278,13762530,254300244,3908846,3745122,2241780,1356675,773606,773603,1356728,2341504,2341464,2341462,3910752,3955008,6310313,9607348,13985473,254945665,9485700,13830026,19338713,26013013,33831041,42872215,53333407,271780434,92681815,107014048,260921235,148328554,262506713,148078587,134954357,121143977,106875700,92556643,78510560,65221670,53233140,269530585,30572441,23154695,16893378,16893379,23154694,30572439,32135707,24554358,18117186,18117185,24554356,21423296,21412304,21351171,15375121,10624336,7012091,7012090,4434060,4434061,7045435,7045433,7051817,7011486,7011485,6414700,6414699,7045263,4433919,4433918,7045259,6540200,6540199,9951233,14464173,20161967,15389993,15389992,21370121,28580668,25336472,18756880,18756879,13404762,13404760,11671626,11671627,16713398,22950218,21806980,15745798,15745799,14110014,14110013,19681687,21351155,21351154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708,12500444,12500255,12500256,17676534,24027067,24027368,17682411,17682410,24027446,17676859,12500517,12500261,8467590,254603567,5473382,5473455,3368157,1981957,1132088,634977,352392,192974,105286,57870,57869,105285,192972,352389,634964,1132065,1981907,3368073,4970493,4970494,7830514,254863350,12505491,8471381,8471380,12505489,17676857,12500515,12500502,8467741,5473493,3368180,3368181,5473495,8467629,5473414,3368127,1981939,1132079,634973,634972,1132078,1981937,3368122,5473410,8467498,5473331,5473333,8467502,12500151,13879392,13879391,17676449,17676448,17676784,12500459,8467712,8467539,5473352,5473353,8467543,12500204,12500269,12503389,8469933,8469934,8471146,8471147,12503407,17680140,24027024,17676467,12500178,8467523,5473345,5473347,8467526,8467739,8467738,12500499,12500507,12500245,8467577,5473380,3368104,1981925,1132074,1132073,1981922,3368097,5473362,8467507,5473337,3368086,3368087,5473339,8467516,12500167,12500219,8469927,5474916,5474915,8469922,12503382,254863252,17680144,12503411,8469943,5474922,5474921,8469940,12503409,12503207,267846418,24030503,255189568,12500496,12500495,267912858,24035458,17684026,17684025,268259715,12505116,254863362,12504697,268001606,5473372,8467571,12500193,12503204,12503205,8469947,5474923,3369038,1982471,1982472,3369040,254409105,3369187,5475103,8469783,12503210,17676515,17679989,12503263,12503233,8469804,8469805,8472009,5476218,5476219,8472013,254136562,267740760,12500211,12502844,12502843,17679528,17680095,17676490,12500206,12500207,17676494,12504700,8470818,8470817,12500234,12503335,8469885,5474895,3369018,1982457,1132356,635119,352459,193008,193009,352461,635126,635155,635156,1132417,1982580,3369190,5475105,8470165,12503283,12503282,12503260,12503222,8469793,8469792,12503220,17679948,24030097,17679526,12502840,8469432,5474532,3368781,3368782,5474535,8469441,12501900,8468779,8468780,12501904,12503270,8469832,5474862,5474861,5475511,5475512,254274298,8469902,5474905,3369026,1982465,1132360,635123,635121,1132358,1982461,254409099,8469891,12503339,267800894,12503437,8469962,8469961,12503433,17680167,17680170,17679944,17679943,24030508,31532230,24030093,24030094,24030099,254089806,8469437,12502842,254089810,19682363,14110729,9706829,6385055,6385054,8469822,5474856,3368999,3368998,5474854,5474873,3369005,3369004,5474868,8469838,9708450,6386449,6386450,9708452,13770037,13844069,9496501,9496502,8469955,5474928,3369042,3369044,5474935,8469965,12503445,17680173,24030779,19519012,13972292,9594785,9594788,13972305,13975757,9597812,8758419,5702420,5702418,8758413,12878225,18160133,13972291,12500562,12500563,17676911,13975813,9597858,6302033,3948906,3948907,3948899,3948890,3948891,6302016,9597833,6306119,6306120,8755535,8755536,12874441,13980640,19258676,13762972,9432410,9432411,12500555,8467772,8467771,9594790,6299557,3947065,2363330,1368395,1217113,1217111,2112267,2648676,4416109,7021893,10636938,8471909,8471911,12506260,9597844,6302026,6302028,9597846,13975795,255578792,255578794,256322122,40222663,37081544,28577391,24032881,17681853,12504719,8470833,5475523,5475522,8470831,6299542,3947052,2363319,2363318,3947048,5700504,5700514,7723929,4889043,2946217,1708675,1708677,2946223,4889050,7723940,11602751,13975801,10631425,10631426,10649026,9597823,9597824,8471932,5476165,3369796,3369795,5476162,8471925,12506282,12505328,8471266,5475779,5475780,8471271,12505336,13972263 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9142021, s2 = 14164457, dlinesl.size( ) = 2 s1 = 9142021, s2 = 14164457, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9142021, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 9389747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14558979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14558979, s2 = 14163551, int(edited[s2]) = 0 s1 = 14558979, s2 = 14163551, d1 = 19, d2 = 13 Dl.O(d1) = 271296892,70858831,72059655,59325262,255814526,22846080,22846083,21475030,15472383,10698975,10698977,15472385,255116950,37264855,255499282,58559793,71291838,84866179,98794539,112786927,126644904,133627310,119757214,105523454,91305463,269977654 Dl.O(d2) = 52380641,258394909,91305465,260861405,119757216,133627311,146880833,153958041,141286035,269389564,16330846,16248105,16248106,22412131,29776304,255546608,48258743,59645745,72380289,85975011,99932449,113955110,127834293,115887512,259504331,61492612,50014763,39996727,31319499,255563413,12332885,8331293,5377023,5377024,8331288,10357903,10353062,267878921,4276518,6817617,10318405,7775024,4927146,2971793,2543412,1465304,829157,467875,254117839,1465306,2543417,4254537,3712699,3712702,5937648,6756800,6756803,5152981,3136937,1834152,1834153,3136940,5152988,4246091,4246087,6774152,10301928,255361761,20872031,256273841,36503455,46361545,57710830,70404905,259250735,101057825,87062070,73444548,73444549,87062072,271171712,98823942,84897040,71323469,58590217,47199110,37291077,28757410,21498089,254693046,7077182,7077181,10712653,15491425,255334854,254795680,37627291,37627290,38057452,29493694,22154712,16482842,11484583,7638775,4832862,4832865,7638783,11484598,16482875,22680792,21590217,21590215,28864598,37405788,35033693,26953509,20069106,14385372,14385371,20069103,25948353,19284336,19284337,21782302,26942426,20069222,14392116,14392117,20051996,14366410,9872794,6485789,4064104,4064105,6485797,9872856,10912589,8356492,8356496,12366805,11096337,7417525,7417529,4687438,4687441,7417578,11179596,16095854,17196766,12092404,8132011,8132010,12092296,12092295,17196601,23479469,22092310,15984882,15984879,22092302,255426988,28223915,21786958,255861909,37634581,47540066,46761274,254510998,28386361,254748112,22230065,22230066,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,21462640,15462135,15462136,21462642,25146138,18590110,13210552,254101968,11467740,16458642,22649995,30023001,254371236,30687655,39284666,44408860,255426978,26947773,26947774,26938347,22155169,22155166,21076860,21076862,254688034,255090300,26936781,22157514,22157513,16483477,254790151,7638950,11484939,16483480,22681601,30058388,36940378,28440934,28440933,21826133,21826132,29133200,35035755,29861705,22498923,16324760,16324759,14378082,14378079,20040754,14356067,9864097,6479553,4060354,2430165,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040672,26934820,26934824,29130216,21823229,15756319,15756317,21823220,29130206,254686406,36940431,36940432,29621659,22270361,16128911,11204215,7434363,7434365,11204225,16128935,17142077,15728481,15728479,21786923,26954083,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,25146042,18590025,13210508,9005107,5878437,3669971,2196687,1276188,1276189,2196689,3669972,5878439,9005112,13210514,18590041,25146061,32852911,38631005,37405540,30828555,23400801,17128533,12037527,8092673,8092672,12037522,15986878,15986877,21823387,22094964,15986887,15986888,22094965,22802148,22680699,16482801,11484560,7638767,4832861,4832865,7638783,11484598,16482875,22680792,21590217,21590215,28864601,37405794,44408475,35033674,26953487,26953488,28864327,21589967,21589965,28864322,28833642,21562768,15541331,12037492,8092661,8092662,12037496,17128474,23400720,30828460,29425991,22095224,22095226,22157497,16036342,11134624,11134625,16036347,14361168,9868080,6482333,4062001,2431039,2431044,4061990,2432116,1406747,1406745,2432093,4063983,6485577,9872433,14365794,16035392,22156218,20041159,14356317,14356319,20041168,21823617,20068836,14385183,9890821,9890820,14384155,14384151,20067947,26952335,35032587,31060673,31060672,35012264,26930653,21167428,15210080,254687940,21385647,15402266,10645750,7028988,6261524,254670881,13905922,268315757,256173675,19434227,19434228,26129139,33967803,43025649,53505306,65531059,65531053,257250693,43025647,53505305,65531056,259090437,106733116,106733115,111725581,97803403,83944122,70417218,57722228,46371870,36513013,28048860,20880518,14978390,10310792,10310793,14978393,20880525,16570895,11551993,7686166,7686167,7730623,7730624,7687154,7687152,11553155,11545557,11545558,16406849,11423249,11423250,11561394,11623392,254814700,7734295,7740397,7740398,11553904,268229421,11412054,11412053,11630369,254677846,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957839,4352000,4351943,2606373,1504087,1504086,1701165,967079,967078,1701158,2931420,4864833,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808883,7601666,11410767,7691252,4867126,4808517,2897997,1681525,1681524,2897993,4808507,7601072,7744526,11432860,11433154,7601328,7601329,11433156,16417320,11433427,7601608,4864040,2930963,1699979,1699978,2930961,4864036,4904332,4629915,2789216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14558979, s2 = 14163551, dlinesl.size( ) = 14 s1 = 8270097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8306456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8306456, s2 = 2014755, int(edited[s2]) = 0 s1 = 8306456, s2 = 2014755, d1 = 17, d2 = 21 Dl.O(d1) = 257469956,15228848,17075155,15228783,13374545,9141168,5981876,3740529,2239347,2239348,3740531,5981879,9141171,13374553,18779233,256121321 Dl.O(d2) = 52387486,258395813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1658764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9602402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9602402, s2 = 14127123, int(edited[s2]) = 0 s1 = 9602402, s2 = 14127123, d1 = 6, d2 = 5 Dl.O(d1) = 225453827,225453829,265421594,213830796 Dl.O(d2) = 203871674,263716119,180737931,170609300,261968049,133650824,119780950,105547788,91330116,77411565,64261862,52406594,42062869,33113944,25378730,18793951,13387320,9151562,5989087,267810073,1299849,1299848,2241706,1371005,780407,442490,249258,249261,442498,780416,741773,421540,237883,131326,131325,237881,421532,741742,1299850,2241708,3744934,5989090,9151566,13387322,13387323,18793954,25378733,25378731,25378732,33113946,42062871,52406597,64261863,77411567,259651621,260863953,133650825,146904020,159274506,170609302,259635904,150674191,137677887,123996925,109858584,95655605,255646850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9602402, s2 = 14127123, dlinesl.size( ) = 2 s1 = 9602402, s2 = 14127123, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9602402, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 9436615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2324528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253427, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1661186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13211773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1006030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7641018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6768840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6768840, s2 = 9484601, int(edited[s2]) = 0 s1 = 6768840, s2 = 9484601, d1 = 7, d2 = 17 Dl.O(d1) = 258247612,52522736 Dl.O(d2) = 74843982,88479651,95348666,259450362,67825962,55484515,44634490,35250081,27151700,20241014,14524266,9993772,6568064,4114557,2461126,1422683,809368,809369,1422685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6768840, s2 = 9484601, dlinesl.size( ) = 2 s1 = 6768840, s2 = 9484601, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6768840, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 1663505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8467354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8467354, s2 = 8351168, int(edited[s2]) = 0 s1 = 8467354, s2 = 8351168, d1 = 32, d2 = 19 Dl.O(d1) = 260276449,91499873,77568697,64400482,64400481,77568734,259659761,91499907,77568725,64400468,52527051,256644871,33209144,42169017,52527042,52527035 Dl.O(d2) = 44365976,44365975,269634843,256070606,268126618,48898988,60293250,60293251,60293252,73030607,86631290,257696502,101630307,87662791,74058778,74058777,258116156,39781602,31102949,31102950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8467354, s2 = 8351168, dlinesl.size( ) = 14 s1 = 2021509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2021509, s2 = 337492, int(edited[s2]) = 0 s1 = 2021509, s2 = 337492, d1 = 17, d2 = 31 Dl.O(d1) = 52544199 Dl.O(d2) = 8481509,5482562,3373762,1985382,1134221,636390,353438,193783,105913,105914,193787,353444,636404,1134169,1134196,1985341,3373695,5482459,5481952,5481951,8480633,12517994,8481381,5482469,3373708,1985348,1985349,3373710,5482484,8481402,12518982,12519005,254146656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2021509, s2 = 337492, dlinesl.size( ) = 2 s1 = 2021509, s2 = 337492, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2021509, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 2021606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16227742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15347111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6763596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7912705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2022846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2022846, s2 = 6913844, int(edited[s2]) = 0 s1 = 2022846, s2 = 6913844, d1 = 15, d2 = 91 Dl.O(d1) = 52567558 Dl.O(d2) = 260031746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2022846, s2 = 6913844, dlinesl.size( ) = 2 s1 = 2022846, s2 = 6913844, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2022846, Dl.E( ) = 146, 4.22e-05 seconds used appending s1 = 741633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 247406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8103331, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10343486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343486, s2 = 11568920, int(edited[s2]) = 0 s1 = 10343486, s2 = 11568920, d1 = 90, d2 = 108 Dl.O(d1) = 274593809,272913204,261323292,260155390,269008340 Dl.O(d2) = 223248023,225498310,274493930,265109730,274580505 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8001777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8001777, s2 = 7553230, int(edited[s2]) = 0 s1 = 8001777, s2 = 7553230, d1 = 21, d2 = 12 Dl.O(d1) = 25924600,25522369,18912924,18912925,256133017,42262349,257236252,52648009,64547244,77729465,91657167,105865263,120077905,129507874,129507873,142824522,129507867,115623263,101583237,87616212,258535408,39733578,257045783,61231331,74012064,260099431,129507834,262322795,177552266,273571483,264132052,177552235,262580872,142824469,129507828,115623242,115623243,129507830,142824472,155405565,167045650,177552255,263611801,201863974,264552903,207694582,263785430,264272813,212503382,212503443,264687774,201863975,194935505,186840989,177552257,167045651,273500268,194935509,201863978,264115542,207694594,201863891,194935384,194935383,263418226,212503394,264424906,194935461,273823674,186840903,186840892,186840893,192152092,183632926,183632925,186841019,186841020,194935524,186841026,186841024,194935531,186841031,186841030,194935535,201864002,205696502,199488048,192152118,183632942,183632943,192152120,186841080,186840824,263611789,201863866,207694571,212503377,216435247,219696047,265129034,216435249,264409602,201863879,194935376,186840833 Dl.O(d2) = 219696078,216435272,264687772,201863922,194935424,186840882,186840881,194935422,201863920,207694625,273978950,211403368,215495631,218876817,216435261,216435260,219696065,216435309,212503461,207694710,207694619,207694618,212503408,216435265,219696071,216435311,216435310,219696074,216435267,212503410,264727900,264179572,200343357,200343356,206396826,211403368,215495631,218876817,216435261,216435260,219696065,216435309,212503461,207694710,207694619,207694618,212503408,216435265,219696071,216435311,264468178,193177146,193177144,200343354,264179570,274088738,221731554,224180887,226304604,226304605,228153757,226865923,265366016,222449517,224813378,264772994,216435313,263919134,207694712,212503465,216435316,264772996,222449512,219696098,264912856,207694701,207694702,207694607,264115536,264179568,215495621,218876812,221731551,224180884,226304605,228153757,226865923,265366016,264961838,212503463,207694705,263856978,194935554,263803910,186841047,263438124,263225125,264272817,212503439,216435296,219696089,221731548,218876809,273978948,263856976,200343346,273702282,200343347,264179566,207694608,207694597,263418224,194935388,201863894,207694600,212503398,216435260,219696065,216435309,212503461,207694710,201864012,194935561,186841052,263611803,194935546,263438128,177552310,186841040,194935547,193177139,184827560,175264782,175264781,184827558,193177134,200343344,201863917,207694623,212503412,216435271,219696060,222449486,222449488,219696064,219696065,216435309,212503461,207694710,207694619,207694618,212503408,216435265,219696071,216435311,216435310,219696074,216435267,212503410,264727900,264179572,200343355,263856982,264468180,215495623,215495624,216435269,216435268,219696076,221731550,218876810,273978948,263856976,200343346,273702282,200343347,264179566,207694608,207694597,263418224,194935388,201863893,207694599,212503396,216435259,219696062,218876816,215495627,211403366,263856980,200343352,206396822,207694603,201863895,201863894,207694600,212503398,216435260,219696065,216435309,212503461,207694710,201864012,194935561,186841052,177552318,177552317,186841048,193177139,184827560,175264782,175264781,184827558,193177134,200343344,201863917,207694623,212503412,216435271,219696060,222449486,222449488,219696064,219696065,216435309,212503461,207694710,201864012,194935561,186841052,177552318,167045703,155405603,262322797,175264783,175264784,273331100,193177132,195323114,201864013,194935561,186841052,177552318,167045703,155405603,262322797,175264783,175264784,273331100,184827555,272530874,267764302,876897,494626,494627,491018,275774,152356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8001777, s2 = 7553230, dlinesl.size( ) = 2 s1 = 8001777, s2 = 7553230, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8001777, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 1667281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2024737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1667525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1896321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1896321, s2 = 1593784, int(edited[s2]) = 0 s1 = 1896321, s2 = 1593784, d1 = 11, d2 = 21 Dl.O(d1) = 49044128 Dl.O(d2) = 40224350,42279836,42279835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1896321, s2 = 1593784, dlinesl.size( ) = 32 s1 = 6568221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6568221, s2 = 6787657, int(edited[s2]) = 0 s1 = 6568221, s2 = 6787657, d1 = 30, d2 = 25 Dl.O(d1) = 256054194,50130523,40110126,40110125,50130520 Dl.O(d2) = 258453339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7988251, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2025693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2025693, s2 = 10140614, int(edited[s2]) = 0 s1 = 2025693, s2 = 10140614, d1 = 7, d2 = 7 Dl.O(d1) = 52674893,42288665,33308612,25547062,255266265,9235432,6048680,3785043,3785044,267932309 Dl.O(d2) = 52674893,42288665,33308612,25547062,255266265,9235432,6048680,3785043,3785044,267932309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2025693, s2 = 10140614, dlinesl.size( ) = 2 s1 = 2025693, s2 = 10140614, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2025693, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 1011061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2026590, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2026817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2027053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2027053, s2 = 9330560, int(edited[s2]) = 0 s1 = 2027053, s2 = 9330560, d1 = 17, d2 = 62 Dl.O(d1) = 52693690 Dl.O(d2) = 267782983,254473115,9955461,14469529,20167969,27061840,35147554,44524196,55370478,67710341,81175745,259619890,123676445,137407021,150446047,158960412,146593721,255636328,270882935,60867361,60867360,73617775,60867365,60867364,73617778,81115062,81115064,95173334,109428917,95174119,95174118,81115897,81115898,72997409,60261839,55308520,44463255,35087635,27002575,20112465,14423697,14423701,20112452,27002533,35087549,44463126,55308359,67647465,67649541,55310279,44464548,35088418,27002998,27002997,35088416,44464543,55310269,67649088,67649089,55310835,44464991,44464992,48868931,44463197,35087598,27002558,27002560,35087602,35087671,35087669,44463316,55308607,67647707,67648606,55309352,55309353,67648607,67650474,67648237,55309067,257038120,27252697,255926024,255105164,15704825,254788518,9790166,6436249,6436250,254967033,255732895,34692355,257293207,61517040,50038152,258725321 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 368277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 368277, s2 = 2712705, int(edited[s2]) = 0 s1 = 368277, s2 = 2712705, d1 = 0, d2 = 0 Dl.O(d1) = 9258737,9258740,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,3791693,6060023,9252948,13521192,13520046,9251946,9251947,13520051,18956422,25567039,21233065,15263702,15263703,21233067,15455495,10686223,7059389,4444439,2669843,2669844,4444441,7059392,10686226,15455497,21454232,15455480,10686207,7059380,4444434,4444433,7059378,10686203,15455472,18954777,25565685,33326393,42306890,52693758,64594365,77777072,258685426,120124149,260532718,159548191,170876001,180995281,189873042,197528751,264878463,274268232,223265826,225513986,227470327,229181524,230693397,231511711,230100240,228509924,226700322,224624253,222233318,219448370,216151034,212171226,207298667,201389447,201389446,201389449,194366823,194366822,186167471,186167472,176759384,166126464,166126465,166126466,154381751,261144278,114515328,100491418,86532696,72934313,60195026,48798233,256367908,22891777,16662289,11628957,7746429,4905472,2956623,2956622,4905470,254801289,16662286,15246530,10518132,6936436,254614874,3535937,2104632,2104629,1680135,1680134,2895218,4803589,5683580,8730154,12838155,18105611,24539290,256576547 Dl.O(d2) = 9258737,9258740,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,3791693,6060023,9252948,13521192,13520046,9251946,9251947,13520051,18956422,25567039,21233065,15263702,15263703,21233067,15455495,10686223,7059389,4444439,2669843,2669844,4444441,7059392,10686226,15455497,21454232,15455480,10686207,7059380,4444434,4444433,7059378,10686203,15455472,18954777,25565685,33326393,42306890,52693758,64594365,77777072,258685426,120124149,260532718,159548191,170876001,180995281,189873042,197528751,264878463,274268232,223265826,225513986,227470327,229181524,230693397,231511711,230100240,228509924,226700322,224624253,222233318,219448370,216151034,212171226,207298667,201389447,201389446,201389449,194366823,194366822,186167471,186167472,176759384,166126464,166126465,166126466,154381751,261144278,114515328,100491418,86532696,72934313,60195026,48798233,256367908,22891777,16662289,11628957,7746429,4905472,2956623,2956622,4905470,254801289,16662286,15246530,10518132,6936436,254614874,3535937,2104632,2104629,1680135,1680134,2895218,4803589,5683580,8730154,12838155,18105611,24539290,256576547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 368277, s2 = 2712705, dlinesl.size( ) = 2 s1 = 368277, s2 = 2712705, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 368277, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11656746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6575853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9215875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6864495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6864495, s2 = 14893946, int(edited[s2]) = 0 s1 = 6864495, s2 = 14893946, d1 = 15, d2 = 29 Dl.O(d1) = 259404557 Dl.O(d2) = 256526856,6067042,3796009,2273763,2273765,3796018,6060909,6060907,9254306,10699391,7265667,4581955,2756667,2756666,4581948,6062736,4366396,3794092,2272643,2272642,3794090,254654479,6058415,3790742,3790741,6058412,268392654,268495481,30286834,255272976,269308617,6957541,4371358,2618787,2618788,4371360,254726041,5335148,3791460,2271237,1317254,751582,427004,427002,751574,751916,1317895,2272480,3792622,6059201,6059203,6060492,9253675,13522093,10565935,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052875,9241898,9242337,10548800,13514520,12053979,12053980,15258048,10526768,8103403,6053674,6053675,5403440,254595941,12389423,17560207,18935875,25548356,255795766,16365510,17281236,12160272,8190525,5259855,3215329,1883667,1883665,3215325,5259845,7469102,11251722,7999132,7999130,11949821,10789447,7128485,7128484,10789432,15596638,17500619,14020331,9637649,9637648,11540622,16556972,22771189,30159499,27223364,20294963,14563762,14563758,10021536,10021537,14563760,11512917,7658596,7658598,11512922,10367259,6829832,6829833,10367261,11132832,7384545,7384546,10304593,10304591,10392413,10392415,15069081,20981181,18736818,13338555,13338553,18736812,22729327,17980042,17980045,20810924,20877735,18891129,18677103,13284243,10051088,10051089,14607025,16298133,14929948,14929949,13318692,9099020,5953271,5953273,9099028,13318711,14596480,13307779,13307776,16024587,14564161,10021776,10021777,14564167,19319718,13814716,13814715,15809095,16517687,16517690,19843944,23967442,19541928,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787277,10787272,11338937,11338940,14189585,14189588,19809683,19809676,18672230,18672228,15590395,10785100,9754350,6413584,6413587,9754361,14189551,19809635,16548329,15396720,11207796,10046582,6602013,254698323,14600626,20342963,27278634,35404577,44830125,55737823,68135732,68135727,68135726,68135728,260421621,92293739,258421088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6864495, s2 = 14893946, dlinesl.size( ) = 24 s1 = 2027933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2027933, s2 = 14304866, int(edited[s2]) = 0 s1 = 2027933, s2 = 14304866, d1 = 5, d2 = 13 Dl.O(d1) = 52704265 Dl.O(d2) = 9258747,255268675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2027933, s2 = 14304866, dlinesl.size( ) = 2 s1 = 2027933, s2 = 14304866, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2027933, Dl.E( ) = 18, 2.38e-05 seconds used appending s1 = 9168793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10153677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1671718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1671718, s2 = 7309482, int(edited[s2]) = 0 s1 = 1671718, s2 = 7309482, d1 = 0, d2 = 18 Dl.O(d1) = 42332883 Dl.O(d2) = 265254452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1671718, s2 = 7309482, dlinesl.size( ) = 18 s1 = 14163559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163559, s2 = 14111001, int(edited[s2]) = 0 s1 = 14163559, s2 = 14111001, d1 = 0, d2 = 0 Dl.O(d1) = 107414979,93007107,93007108,107414981,104179913,90049970,76240821,63225246,51512080,41295371,32454108,24817727,24817728,32454109,41295372,51512082,257827652,257235464,79082938,255693812,53671077,65727465,256656746,76240824,87202836,77866436,77866437,91789062,77866435,64676357,64676356,64676358,64676355,52761284,42361650,33372649,33372644,33372643,42361649,52761281,43058547,43058546,53538118 Dl.O(d2) = 107414979,93007107,93007108,107414981,104179913,90049970,76240821,63225246,51512080,41295371,32454108,24817727,24817728,32454109,41295372,51512082,257827652,257235464,79082938,255693812,53671077,65727465,256656746,76240824,87202836,77866436,77866437,91789062,77866435,64676357,64676356,64676358,64676355,52761284,42361650,33372649,33372644,33372643,42361649,52761281,43058547,43058546,53538118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163559, s2 = 14111001, dlinesl.size( ) = 2 s1 = 14163559, s2 = 14111001, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163559, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1672968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13416753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6923274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6923274, s2 = 1014756, int(edited[s2]) = 0 s1 = 6923274, s2 = 1014756, d1 = 22, d2 = 0 Dl.O(d1) = 260132210,77876833,258270910 Dl.O(d2) = 25619263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6923274, s2 = 1014756, dlinesl.size( ) = 28 s1 = 3025472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3025472, s2 = 14164234, int(edited[s2]) = 0 s1 = 3025472, s2 = 14164234, d1 = 7, d2 = 8 Dl.O(d1) = 91799459,77877121,64687640,52773459,52773458,256678044,25619550,19005264,19005263,25619549,33385496,42374489,52773457,64687639,259048399,91152936,105370624,119600856,133464507,146710873,262454747 Dl.O(d2) = 264618933,265084963,220502307,220502306,223126556,225393923,227364923,229088745,230610625,231966382,231966381,230837531,229351599,227676342,225765188,223573349,223573344,223573342,223573346,221044094,218086998,214561010,210271639,205022460,198687060,191208302,182521229,182521228,172587390,161405901,261508357,121976345,107606338,259097883,65735093,53679038,43168711,34085277,26224282,19509595,13964629,9588384,9588383,13964626,19509589,26224281,34085274,43168706,257257937,34096559,26234120,26234121,255602476,52191794,41864432,32932527,25215641,18649883,13261194,9048596,5915112,5915110,9048589,13261170,254141112,31052833,37069372,37069371,46948873,58315781,71031660,77807788,64625323,52725189,52725190,64625324,77807789,91735453,98521171,84596120,84596119,98521169,256728802,255732352,55687636,256728804,70930682,258509900,71615485,257475891,37611321,256896197,58895836,258378534,58213408,46845385,36966516,28467841,28467842,268914841,258036375,76600920,76600921,85179190,71614794,58895074,58895075,71614797,85179192,258715702,47516184,58895851,71615498,71615506,71615507,65195442,53209734,42760079,256132832,25923263,33730194,32597977,32597976,41475020,51743765,63521494,270486649,259341628,85179792,85179793,87221585,99100602,93369763,259335171,258085681,58895864,58895857,58895858,71615505,85179796,85179797,87221588,73599623,60850137,269321590,39516537,49448427,269849973,258806438,72965263,79241655,65877168,53808967,53808966,65877165,60850115,60850116,60227358,48832206,48832205,60227355,48832202,48832159,38911008,30324044,256450227,48832161,47515546,47515545,47515544,47262604,37353114,30324074,255506231,11650307,11650308,11650300,11650295,7762315,254802935,11650309,255506233,21546042,22923205,22923206,22923208,22923210,30324058,38911021,30324059,30324060,38911024,48832174,38911016,30324052,22923200,22923199,30324049,268254446,16689017,16689016,22923202,28814305,256336117,38051162,29487574,22149284,22149285,29487576,28814320,21546058,15528776,10739911,7095990,4467799,4467800,255041829,21546065,28814334,37353155,37610617,29061382,21765690,255860703,37610616,47515550,58895333,258068432,60227323,58893710,47514009,47514010,58893711,71613455,72965242,71389300,58654321,47262628,47262629,58654323,258692635,269792105,58300742,58300741,258668399,84580272,71015949,71015950,74275941,87878295,259335014,85177985,85177984,99099513,258709097,58893716,256895969,37609268,257475675,259335013,99099536,99099535,91674878,77747516,77747517,91674880,101008226,101008225,91674907,87014842,87014841,101008223,105881959,259040113,64564469,52663571,52663572,64564471,71614770,64564459,258413117,71613364,58893609,47513912,47513911,58893606,71613362,77747500,77747501,91674864,99099452,85177851,85177852,258200074,74697212,71614539,71614540,85178934,99100337,99100350,85179170,85179169,87014846,73399473,60653167,49252802,39326541,30728794,30728795,33294960,42276195,52663562,64564454,64564462,64564464,77747547,91674903,105881948,99100590,99100589,91674911,85178947,71614555,58894849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3025472, s2 = 14164234, dlinesl.size( ) = 2 s1 = 3025472, s2 = 14164234, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3025472, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9697193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13574327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9411987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9411987, s2 = 1795892, int(edited[s2]) = 0 s1 = 9411987, s2 = 1795892, d1 = 13, d2 = 8 Dl.O(d1) = 7185284,4526682,2721097,2721099,4526704,7185325,10867553,15698710,15921506,11044196,11044195,10525841,10525842,11491077,11491076,15900186,15698474,10867387,7185204,4526648,4526649,7185206,10867390,15698479,21751707,17152219,17152220,23429242,28464635,21241767,21241768,21248689,254813744,23910061,23910060,25576506,268102814,9282647,6080727,254302041,1321816,754129,428443,428444,754133,1321827,2279216,3804907,6080781 Dl.O(d2) = 47171141,37265091,28732831,21475223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9411987, s2 = 1795892, dlinesl.size( ) = 2 s1 = 9411987, s2 = 1795892, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9411987, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7094864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7094864, s2 = 15059585, int(edited[s2]) = 0 s1 = 7094864, s2 = 15059585, d1 = 17, d2 = 20 Dl.O(d1) = 262487025,271552499,257807835 Dl.O(d2) = 259051037,258423935,52820102,268752779,19040463,13591717,257807422,134136,72941,72938,73375,39718,39721,73041,73514,39762,39760,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815465,3802366,2277524,2277023,2277026,3801468,2277028,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104206,9272182,9351669,9351670,13432424,9183796,9183797,13432426,13672093,9362688,9362687,13672089,255686807,260309643,132896419,119076519,269637164,76847409,63742665,51932442,41629395,254975844,25036230,32723109,30501713,23087928,257585727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7094864, s2 = 15059585, dlinesl.size( ) = 22 s1 = 2032485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9447807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8459314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13300461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9698466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2476999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2476999, s2 = 9171423, int(edited[s2]) = 0 s1 = 2476999, s2 = 9171423, d1 = 10, d2 = 13 Dl.O(d1) = 70831955,84389079,98297606,98919575,89595682,259587499,112279085,98297597,98297598,112279087,116183003,260142190,50652452,40602439,31893526,24365426,17969726,17969727,257112021,42455954,33462962,33462963,42455955,52859901,55670253,44759997,35332284,35332283,269012839,35332285,27207034,20279030,255758443,35332283,44759995,55670249,68069623 Dl.O(d2) = 258739420,31893499,24365403,17969704,12734579,12734580,17969705,24365404,31893502,40602408,50652414,52859900,257329473,35332288,27207035,20279030,14550478,10011963,6580369,6580367,10011959,14550471,20278986,20278987,27206986,26129702,26129701,33968379,43026214,44760017,55670265,58310710,55670217,44759968,44759966,35332238,27206994,27206995,21336716,21336717,28563516,37065161,28601120,28601121,37109914,46995159,48568973,38653119,30076428,22695649,16493341,11491450,11491449,16493337,22695643,30076418,38653109,48568957,42508014,33509098,33509099,27206991,27206992,35332235,37065109,44760035,37109890,37109891,33968376,26129700,26129699,33968374,43026206,53505853,48568944,48568943,48568964,48568965,59961296,72699261,59961238,48568927,38653090,38653091,44760005,55670259,46944230,37065158,37065159,46944233,46995147,46995146,46995152,58365180,58365200,48568953,38653106,30076408,22695638,16493332,16493331,22695635,30076403,30076393,22695629,16493326,16493329,22695633,30076400,28601223,28601222,37110044,46995300,58310672,71026360,71081246,58365185,58365186,53505848,53505847,58310943,58310942,60357748,59961291,59961293,71081406,84643747,98516308,259915750,98566216,112559203,98566439,84643757,78867703,259090469,107390519,121775264,135715611,139801204,135715670,121775316,107390561,101139128,87141022,73522131,257611779,39443851,30839595,23409992,17135038,12041833,8095346,5186290,3164029,1852210,1852212,3164134,5186479,4725555,4725554,7477173,11263207,16202529,13568660,9290049,9290050,13568663,19011411,19092603,13631075,9333822,6113819,3825325,2291843,1329796,759301,759300,1329792,2291839,3825318,3831000,3830999,4939644,6109527,6109528,3825271,2291817,1329777,759295,759293,1329769,2291809,254451235,9333582,13589671,9305085,9305086,13589674,19037810,22353742,16202418,11263108,11263109,255467247,25795141,25795139,33514866,31261023,23775843,17446129,13646045,255278767,13646043,13588410,9304281,9304280,9301840,6093278,6093280,9301846,13584913,19032016,19037366,13589281,9304810,6095084,6095083,9304805,13589274,19037358,256140245,31748725,31748726,28374733,25250213,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077669,17377404,17377403,18581142,18581141,25134941,268622269,256354175,256360406,42445139,33488423,25713476,25713477,33488425,256200264,24191970,256200186,32735633,32735634,256200188,60773775,60773777,73522127,86878113,73522164,73522163,87141062,270847187,72486750,59752543,48370046,42607442,33583362,33583365,42607446,49372213,49372212,60773808,73522173,87141085,88120641,74509078,61727800,61727798,74509074,78550455,88120579,87140754,87140755,101138810,95105725,81048309,67580402,55238274,55238276,67580406,71792816,85381620,99325857,92598007,78550447,78550446,72486323,59752064,48369521,48369520,258146981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2476999, s2 = 9171423, dlinesl.size( ) = 8 s1 = 1676498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8022412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2034447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 917027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 917027, s2 = 13178788, int(edited[s2]) = 0 s1 = 917027, s2 = 13178788, d1 = 26, d2 = 15 Dl.O(d1) = 23299643,22078010,22078009,29408619,37972315,30560536,23143545,16883468,11813031,7891301,5012167,3030786,1763468,254250395,5012162,7891266,11298966,7501612,4741903,2857802,2857801,4741900,5011990,254259814,7286206,11006592,15878044,21971717,29298443,24010181,17663473,12490592,8459918,5466231,5466230,8459916,12490587,17663468,24010178,23687931,17366383,12235091,12235090,17366381,268437241,42467858,254302654,25701499,31176936,25701498,19075371,13618245,9324883,6108179,254094076,13618240,254149098,254207688,19236731,25896979,33703155,42467855,42467854,254303718,268152879,9417016,13744563,19237896 Dl.O(d2) = 268755213,19053768,13601985,254657969,2286995,2286997,3811651,2289374,2289376,3821171,2298844,1333861,1333862,2276256,2276253,3800174,3804747,2279103,1321747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8160347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8087331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8087331, s2 = 8216958, int(edited[s2]) = 0 s1 = 8087331, s2 = 8216958, d1 = 18, d2 = 17 Dl.O(d1) = 18761914,16273453,16273454,254718636,25342003,18761803,13359964,9130558,9130557,5975252,3736807,3736806,5975247,9130774,13360294,18762250,25342604,33072017,33072072,256492082,257618659 Dl.O(d2) = 255794279,10356472,6820527,6820526,10333558,10333557,15003285,20908292,28081036,255788684,20964965,15055270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8087331, s2 = 8216958, dlinesl.size( ) = 22 s1 = 7962868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7962868, s2 = 11036276, int(edited[s2]) = 0 s1 = 7962868, s2 = 11036276, d1 = 38, d2 = 55 Dl.O(d1) = 254704468,46390424 Dl.O(d2) = 40852308,32080370,32080371,33550788,35333327,29881483,29881484,38439637,256377842,29217739,29881486,23089739,16835631,11773174,11773176,16835634,254762408,30503976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7962868, s2 = 11036276, dlinesl.size( ) = 46 s1 = 13264911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7901359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7901359, s2 = 2309346, int(edited[s2]) = 0 s1 = 7901359, s2 = 2309346, d1 = 74, d2 = 15 Dl.O(d1) = 256472386,17089966,268100676,8053168,5144086,3129490,1829476,1044164,1044163,1829474,3129486,5144080,7525436,7525437,5109553,3131834,3131825,3131824,267902983,11972712,255146205,8065456,8017555,5106147,4763082,4763083,7529905,5111586,3103963,3103962,1848575,267796547,8081240,268102334,8033018,6874942,254383917,1831261,254255547,1811059,1186675,1186673,254284491,3099310,3099311,3134454,3134455,3140736,5157207,3188488,1865828,1865829,3153771,5169820,8075097,7524967,5116068,3107422,1815753,254255949,1844722,1844713 Dl.O(d2) = 74675599,61883412,50393585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7901359, s2 = 2309346, dlinesl.size( ) = 50 s1 = 1350888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9683627, s2 = 6787286, int(edited[s2]) = 0 s1 = 9683627, s2 = 6787286, d1 = 0, d2 = 0 Dl.O(d1) = 106166193,91968251,78041428,64844547,52919644,42509804,42509803,52919642,64844546,78041425,91968249,106166189,120368388,134201150,147412582,159757776,259683278,187893481,178792506,168487217,157040224,144642180,131419506,261276598,103488026,89393799,75632516,62687964,269393254,32139603,24557772,255550232,17488976,12331072,12331073,255563165,31315738,38639407,30064861,22686742,22686741,30064859,29451072,29451071,38013114,39992617,50010481,40916888,32139473,24557644,24557645,24556369,18118698,18118699,24556371,32137967,40915598,39486174,39486173,31164499,31164498,30857274,30857273,39058708,35171369,35171368,42145583,33186239,28203936,28203937,36694146,46580421,46766269,36888045,256839924,42581912,46338144,46338145,44524692,35148072,35148071,28978439,28978438,32969572,30880611,23449562,17173281,17173280,23449558,29562086,23239549,16969336,16969335,23239545,30659255,33730689,42760600,47430016,37522405,256301044,58816591,71544985,85116151,99041083,113029525,123574930,109383429,257386656,67603084,255784648,44413962,48867368,38947608,30361504,22960155,16724236,11682355,11682353,16724230,16724409,11949922,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384526,6603328,6603331,5587565,3466540,3466543,5587575,8599070,12663530,17879842,14925329,10263265,6744115,6744114,10263259,10575408,6975734,6744222,4225985,4225990,4225978,4225681,4225682,6743471,254704099,14923563,20821339,27986125,36445592,37879946,29311152,21983359,20891277,20891276,21619833,15591979,10786241,10786240,14955845,14955843,20857097,15589590,15589592,21619826,22109285,15997569,11105778,11105777,254488158,10270259,10274337,254997521,20837914,28002786,36461774,38686599,254706168,22014665,15913061,11034682,11034681,15913060,22014663,29346730,37915721,47837031,59234280,71971909,85559085,99505517,91971682,78044856,64847970,52923072,42513327,42513329,45116967,35609774,27423480,27423481,35609778,35505541,27351280,20397056,20397053,20411988,14649219,10076715,6618749,4164076,4164073,6650880,4171323,4169904,2492978,1439422,1439418,2493016,4170560,6634562,10103516,14690648,20473093,14861135,10219531,10219529,14861133,20731484,27859722,268890781,56451210,68975446,82497234,96482660,110587341,124436498,110380613,259438568,76090338,63089456,51397306,51397308,48207340,38297879,29730670,29730668,25137871,18583436,13205964,9003443,5877857,3669678,3669680,5877690,3669630,3669632,5877699,9003620,13207970,16218907,22374469,27026077,24336444,17946503,12716916,12716919,8640613,8640615,12716965,17946479,17946482,24336407,31817481,38762457,256980967,42805975,53258881,258448385,92585673,106904486,121171079,134979612,261501224,171547197,176789586,166168703,258458614,257248484,256171794,72953708,60214685,48818611,38897148,30311139,22911332,22911329 Dl.O(d2) = 106166193,91968251,78041428,64844547,52919644,42509804,42509803,52919642,64844546,78041425,91968249,106166189,120368388,134201150,147412582,159757776,259683278,187893481,178792506,168487217,157040224,144642180,131419506,261276598,103488026,89393799,75632516,62687964,269393254,32139603,24557772,255550232,17488976,12331072,12331073,255563165,31315738,38639407,30064861,22686742,22686741,30064859,29451072,29451071,38013114,39992617,50010481,40916888,32139473,24557644,24557645,24556369,18118698,18118699,24556371,32137967,40915598,39486174,39486173,31164499,31164498,30857274,30857273,39058708,35171369,35171368,42145583,33186239,28203936,28203937,36694146,46580421,46766269,36888045,256839924,42581912,46338144,46338145,44524692,35148072,35148071,28978439,28978438,32969572,30880611,23449562,17173281,17173280,23449558,29562086,23239549,16969336,16969335,23239545,30659255,33730689,42760600,47430016,37522405,256301044,58816591,71544985,85116151,99041083,113029525,123574930,109383429,257386656,67603084,255784648,44413962,48867368,38947608,30361504,22960155,16724236,11682355,11682353,16724230,16724409,11949922,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384526,6603328,6603331,5587565,3466540,3466543,5587575,8599070,12663530,17879842,14925329,10263265,6744115,6744114,10263259,10575408,6975734,6744222,4225985,4225990,4225978,4225681,4225682,6743471,254704099,14923563,20821339,27986125,36445592,37879946,29311152,21983359,20891277,20891276,21619833,15591979,10786241,10786240,14955845,14955843,20857097,15589590,15589592,21619826,22109285,15997569,11105778,11105777,254488158,10270259,10274337,254997521,20837914,28002786,36461774,38686599,254706168,22014665,15913061,11034682,11034681,15913060,22014663,29346730,37915721,47837031,59234280,71971909,85559085,99505517,91971682,78044856,64847970,52923072,42513327,42513329,45116967,35609774,27423480,27423481,35609778,35505541,27351280,20397056,20397053,20411988,14649219,10076715,6618749,4164076,4164073,6650880,4171323,4169904,2492978,1439422,1439418,2493016,4170560,6634562,10103516,14690648,20473093,14861135,10219531,10219529,14861133,20731484,27859722,268890781,56451210,68975446,82497234,96482660,110587341,124436498,110380613,259438568,76090338,63089456,51397306,51397308,48207340,38297879,29730670,29730668,25137871,18583436,13205964,9003443,5877857,3669678,3669680,5877690,3669630,3669632,5877699,9003620,13207970,16218907,22374469,27026077,24336444,17946503,12716916,12716919,8640613,8640615,12716965,17946479,17946482,24336407,31817481,38762457,256980967,42805975,53258881,258448385,92585673,106904486,121171079,134979612,261501224,171547197,176789586,166168703,258458614,257248484,256171794,72953708,60214685,48818611,38897148,30311139,22911332,22911329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9683627, s2 = 6787286, dlinesl.size( ) = 2 s1 = 9683627, s2 = 6787286, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9683627, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1678765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1678765, s2 = 10354029, int(edited[s2]) = 0 s1 = 1678765, s2 = 10354029, d1 = 235, d2 = 154 Dl.O(d1) = 42517133,257814019,258429836 Dl.O(d2) = 269338000 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9357772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7845118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2038416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2038416, s2 = 10755774, int(edited[s2]) = 0 s1 = 2038416, s2 = 10755774, d1 = 19, d2 = 198 Dl.O(d1) = 53055739 Dl.O(d2) = 64737829,52821960,42420262,42420263,42487122,42487121,47878535,37960597,29396094,22065660,22065658,29396087,37960585,47878522,49199088,39272933,39272932,33429466,25661100,25661101,33429468,42420207,52821872,59273895,72009702,64814604,64814603,64814830,52893964,256664606,25715887,19087316,19087315,25715883,33491390,36777678,46663045,52893873,42487464,33491288,33491290,42487467,256664688,78007663,64814194,64814195,64814200,64814373,52893389,42486938,33490905,33490903,42486934,52893386,64814370,64814242,64814241,78007694,77559791,64391826,64391825,77559786,64391844,52517923,52517924,64391850,64391857,64814136,64814135,73373748,60628087,60628086,73373742,78007933,71161975,64814126,52893100,42486620,33490651,33490650,42486615,52893087,52894079,42487728,42487724,52894073,64814904,78008057,90817623,104995081,104995080,119190005,258107928,91929370,91490324,90817633,76941877,63834623,256375434,71414257,58680463,47289337,37379915,37379916,47289339,58680467,67811115,67811113,81278510,76941755,63834475,52019527,52019526,47289354,37379924,37379925,255068342,31595526,40279751,50300027,61779325,74562734,70314082,57623471,46278900,36425992,27967311,27967310,36425990,46278897,57623466,70314073,63834501,63834500,63834529,63943200 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1681233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6624901, s2 = 12307649, int(edited[s2]) = 0 s1 = 6624901, s2 = 12307649, d1 = 28, d2 = 56 Dl.O(d1) = 256661399 Dl.O(d2) = 192990595,192990596,192990594,184607157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6624901, s2 = 12307649, dlinesl.size( ) = 2 s1 = 6624901, s2 = 12307649, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6624901, Dl.E( ) = 62, 2.5e-05 seconds used appending s1 = 6525031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2040079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2040091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2040091, s2 = 8060374, int(edited[s2]) = 0 s1 = 2040091, s2 = 8060374, d1 = 13, d2 = 11 Dl.O(d1) = 53093533,42643604,268502697,19167100,15365308,10616277,10616276,15365305,18311822,18311819,13353702,13353700,18754246 Dl.O(d2) = 255718536,19671308,26405694,34280478,30885312,25314468,25314469,26404408,19671269,19671270,26405662,30675262,25314440,25314438,26406323,26406324,26404435,19670162,14100491,9698416,9698415,9113615,5962929,5962930,9113623,13338755,18737119,19670400,14100671,14100670,19670398,17020002,17020004,19671550,14101581,14101582,15413890,17176321,19880381,19880378,26701310,30254331,22859189,22859187,30254320,33042283,28559966,21333777,15360711,15360712,13338811,13338812,18737222,18737181,17176369,17176371,19671911,14101844,9699291,9699290,14101839,19671902,19671924,19671925,26406331,34281067,41986110,33042200,25314336,255220848,33208931,42168832,52326732,41986240,33042385,33042384,26404403,19670140,19670141,25314652,25314605,19670719,14100936,14100934,19670708,26405029,30885252,23453362,17176096,17176097,18737143,13338775,9113632,5962936,5962935,9113629,13338767,13338867,18737341,23453693,17176363,12076947,8121047,8121048,12076950,17176310,17176331,23453652,30885520,30885562,23453681,23453679,28561630,26406310,21387727,15403897,15403896,21387721,26405020,23740958,23740959,21387770,21387768,28625554,21387818,21387817,23453620,23453621,30885483,39491681,39491743,34279900,30084446,22702603,22702604,25314346,33042218,256007072,32974233,35344594,32404734,257769086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2040091, s2 = 8060374, dlinesl.size( ) = 2 s1 = 2040091, s2 = 8060374, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2040091, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 9704646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704646, s2 = 10180983, int(edited[s2]) = 0 s1 = 9704646, s2 = 10180983, d1 = 24, d2 = 5 Dl.O(d1) = 258699912,59956588,59956589,48889954,48889953,60283451,73020260,86620232,73020294,60283518,48890023,48890024,52307005,41966597,33023762,33023763,41966601,52307011,52307002,52307001,63272568,63272567,60283479,48889973,256600726,60283424,48889927,38969933,30383615,22981435,22981434,30383612,38969928,48889929,48889928,257153700,86620223,100585038,89168715,75421105,62502028,50901683,257552595 Dl.O(d2) = 38641368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8102361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2041079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2041079, s2 = 13537297, int(edited[s2]) = 0 s1 = 2041079, s2 = 13537297, d1 = 0, d2 = 26 Dl.O(d1) = 53116412 Dl.O(d2) = 81099735,95157651,92424101,92424102,106730148,120983072,134779729,139773372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1683672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1530171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2041714, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163074, s2 = 14164221, int(edited[s2]) = 0 s1 = 14163074, s2 = 14164221, d1 = 1, d2 = 1 Dl.O(d1) = 18590126,23033699,22155154,22155155,22156100,22156099,26901790,254315570,14338281,20019327,23931965,21939057,254971662,7271683,267870936,21939063,22806560,16589131,16589129,22806556,20075231,14392728,14392729,20075233,21785977,15727473,15727472,21785975,29083618,25299527,25299528,31323693,23833136,23833137,31323698,26955600,22520934,16347769,16347770,20059329,22520919,29877628,35039764,35012353,26930739,26930743,26938733,29424082,22093354,22093352,25371407,25371404,28422256,24905450,18401499,13070486,13070483,18401493,23400636,30828362,30440206,23033365,16790007,11739759,11739761,12014700,17100448,23368956,30795127,29493941,29493943,29083495,29083494,30440077,39029297,30440256,23033410,16790039,11739775,7838147,7838146,11739771,16790029,23033398,16790594,16790593,23034238,30441094,39030018,37694429,37008814,37008815,46887491,37249608,37249607,32744600,25053928,23307678,17046275,11958400,11958401,17046277,23307683,30725482,39323333,32793373,25094364,18547707,13178678,8983260,5864760,3661454,3661455,5864634,254638983,13178323,13178340,8983052,8983053,255242783,255736490,41708248,41709512,41709513,48705591,38783357,30198904,30198903,38783356,37504743,37504742,38843543,48763173,60156976,62055074,62055073,52454796,42102345,33148225,25407781,25407782,33148227,42102347,39921576,31245863,23761326,23761325,31245861,39921573,49189541,60589809,256954700,93505872,79368967,66000621,53930036,43403214,34302056,34302055,43403213,53930034,59903225,59078101,52018678,52018679,63833541,65188892,65188891,70961518,84525010,98447006,112436481,126301429,126301425,112436478,112436479,126301427,139674474,152397856,164272308,152397854,152397838,139674456,126301414,114082307,100056052,100056053,86093942,72496901,72496900,86093940,100056051,105548390,91330723,77412164,77412163,91330722,86093943,72496902,59763211,48380614,38478408,29919080,22560303,18415233,13080268,8913277,8913280,7213601,4545031,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,24034131,31353509,31353511,40033505,257490652,37908339,37908340,38041603,38041604,33769583,25960674,25960675,29339484,22008028,22008030,23675225,17355461,17355462,23675227,31163732,25960653,19295573,19295572,25960650,31163733,39846164,38202883,31163838,23802012,23802013,23091211,16836671,16836672,23091215,23223467,16950271,16950272,268424147,257016063,39239503,39239504,31287906,23801365,17468476,17468477,17469459,17468543,12315626,8319059,8319058,8318945,8318946,254888338,5039406,3050944,3050943,5039404,7927391,11861685,16948304,23221306,23221303,23221304,256378822,33663625,25857545,25857546,33663626,42694339,53144844,65129785,78411502,92447229,89808261,76031649,63048913,51367924,51367923,63048912,72373978,269368048,86879536,73267668,73267669,86879537,73593956,73593957,73339676,60594890,53120373,42669020,33639841,257230825,39507190,39507189,48215055,38305100,29737147,29737148,33639843,25836785,19183460,255689813,33639839,42669019,53120372,46491619,36625296,28151871,20973651,15063097,15063098,20973652,28151873,36625300,46491620,256615899,32754231,41665535,51973393,51666248,41423975,32563876,32563874,41423972,51666244,59363119,59363120,61468743,61468742,61689800,50207795,50207794,61689799,74246929,61468370,49991345,49991346,57704181,46354930,36497059,28034318,20866544,14964490,10296929,6769781,4242954,2536843,2536845,4242961,254323127,1464992,829006,467796,263152,263151,263161,145768,145769,263165,467816,829039,1465067,2542942,2542851,2542846,4253556,254321486,6769247,4295396,4295397,2844702,2844700,4721595,4264375,4264374,6800131,9059755,5923541,3704000,2218431,2218432,3704002,5923546,9059762,7669614,4852734,2924286,2924287,4852738,7669622,9093224,10306277,9085719,6808159,4270053,2552987,2552988,1470689,831906,469165,263816,146076,146077,263818,469168,831914,828071,828072,1463187,2539425,2567325,1478199,1478200,2567330,2567202,1478146,1478144,2567194,4293881,4276912,4276910,6791860,5211842,5211843,8134622,12095664,10334712,10334709,14994605,18705705,13312366,13312367,14967575,10299733,10299734,9099615,5953665,4252957,4252954,4252942,2542512,1464830,1464831,2542514,4252948,6784264,6865543,6865542,10414732,15100722,21024869,17104822,12019177,8078446,5173396,5173394,8078443,12019174,17104817,23373882,30507851,23092917,16837950,16837949,23092914,21364801,21364802,28597611,30507849,30507850,257028399,39405825,49335470,60739005,73488207,78606588,65307964,53308585,53308584,65307961,53308586,42846128,33805349,25989241,25989240,33805347,42846125,42846126,33899386,26074024,19389747,13870687,9515792,6241298,3907222,2339713,1355938,773301,773304,1355946,2339728,2360011,2360013,3942339,6294055,9588354,13740242,13740241,14059934,14059933,19218757,13727993,13727995,9588967,9588968,12766806,8677209,6764111,6764112,6764060,6269932,6269931,6383006,6370978,6370981,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441965,779087,1346456,778570,778572,1366941,2360876,3880118,2391266,1384115,1384117,2391273,2314239,1342359,1342361,2314245,3863226,6173879,9422336,255290509,13813411,19318327,25989242,25491753,255263671,9204542,6026193,6026191,9204540,13459862,18887598,25491749,33241600,42202622,52562622,64437826,77606852,257833397,42846123,33805344,33805345,42846124,53308583,65307960,77020240,63908588,52089299,41775495,32854681,32854680,32854679,41775411,32854607,32854608,41775413,52089195,63908427,77020070,90899833,77020071,255663080,74522485,74522482,61740662,50262244,50262245,61740664,74522484,88134538,102122161,116179643,105674890,257788006,77521998,258401923,52486485,42131511,33175136,25432410,18837940,13421571,9176529,6006072,3756180,2249651,1305143 Dl.O(d2) = 18590126,23033699,22155154,22155155,22156100,22156099,26901790,254315570,14338281,20019327,23931965,21939057,254971662,7271683,267870936,21939063,22806560,16589131,16589129,22806556,20075231,14392728,14392729,20075233,21785977,15727473,15727472,21785975,29083618,25299527,25299528,31323693,23833136,23833137,31323698,26955600,22520934,16347769,16347770,20059329,22520919,29877628,35039764,35012353,26930739,26930743,26938733,29424082,22093354,22093352,25371407,25371404,28422256,24905450,18401499,13070486,13070483,18401493,23400636,30828362,30440206,23033365,16790007,11739759,11739761,12014700,17100448,23368956,30795127,29493941,29493943,29083495,29083494,30440077,39029297,30440256,23033410,16790039,11739775,7838147,7838146,11739771,16790029,23033398,16790594,16790593,23034238,30441094,39030018,37694429,37008814,37008815,46887491,37249608,37249607,32744600,25053928,23307678,17046275,11958400,11958401,17046277,23307683,30725482,39323333,32793373,25094364,18547707,13178678,8983260,5864760,3661454,3661455,5864634,254638983,13178323,13178340,8983052,8983053,255242783,255736490,41708248,41709512,41709513,48705591,38783357,30198904,30198903,38783356,37504743,37504742,38843543,48763173,60156976,62055074,62055073,52454796,42102345,33148225,25407781,25407782,33148227,42102347,39921576,31245863,23761326,23761325,31245861,39921573,49189541,60589809,256954700,93505872,79368967,66000621,53930036,43403214,34302056,34302055,43403213,53930034,59903225,59078101,52018678,52018679,63833541,65188892,65188891,70961518,84525010,98447006,112436481,126301429,126301425,112436478,112436479,126301427,139674474,152397856,164272308,152397854,152397838,139674456,126301414,114082307,100056052,100056053,86093942,72496901,72496900,86093940,100056051,105548390,91330723,77412164,77412163,91330722,86093943,72496902,59763211,48380614,38478408,29919080,22560303,18415233,13080268,8913277,8913280,7213601,4545031,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,24034131,31353509,31353511,40033505,257490652,37908339,37908340,38041603,38041604,33769583,25960674,25960675,29339484,22008028,22008030,23675225,17355461,17355462,23675227,31163732,25960653,19295573,19295572,25960650,31163733,39846164,38202883,31163838,23802012,23802013,23091211,16836671,16836672,23091215,23223467,16950271,16950272,268424147,257016063,39239503,39239504,31287906,23801365,17468476,17468477,17469459,17468543,12315626,8319059,8319058,8318945,8318946,254888338,5039406,3050944,3050943,5039404,7927391,11861685,16948304,23221306,23221303,23221304,256378822,33663625,25857545,25857546,33663626,42694339,53144844,65129785,78411502,92447229,89808261,76031649,63048913,51367924,51367923,63048912,72373978,269368048,86879536,73267668,73267669,86879537,73593956,73593957,73339676,60594890,53120373,42669020,33639841,257230825,39507190,39507189,48215055,38305100,29737147,29737148,33639843,25836785,19183460,255689813,33639839,42669019,53120372,46491619,36625296,28151871,20973651,15063097,15063098,20973652,28151873,36625300,46491620,256615899,32754231,41665535,51973393,51666248,41423975,32563876,32563874,41423972,51666244,59363119,59363120,61468743,61468742,61689800,50207795,50207794,61689799,74246929,61468370,49991345,49991346,57704181,46354930,36497059,28034318,20866544,14964490,10296929,6769781,4242954,2536843,2536845,4242961,254323127,1464992,829006,467796,263152,263151,263161,145768,145769,263165,467816,829039,1465067,2542942,2542851,2542846,4253556,254321486,6769247,4295396,4295397,2844702,2844700,4721595,4264375,4264374,6800131,9059755,5923541,3704000,2218431,2218432,3704002,5923546,9059762,7669614,4852734,2924286,2924287,4852738,7669622,9093224,10306277,9085719,6808159,4270053,2552987,2552988,1470689,831906,469165,263816,146076,146077,263818,469168,831914,828071,828072,1463187,2539425,2567325,1478199,1478200,2567330,2567202,1478146,1478144,2567194,4293881,4276912,4276910,6791860,5211842,5211843,8134622,12095664,10334712,10334709,14994605,18705705,13312366,13312367,14967575,10299733,10299734,9099615,5953665,4252957,4252954,4252942,2542512,1464830,1464831,2542514,4252948,6784264,6865543,6865542,10414732,15100722,21024869,17104822,12019177,8078446,5173396,5173394,8078443,12019174,17104817,23373882,30507851,23092917,16837950,16837949,23092914,21364801,21364802,28597611,30507849,30507850,257028399,39405825,49335470,60739005,73488207,78606588,65307964,53308585,53308584,65307961,53308586,42846128,33805349,25989241,25989240,33805347,42846125,42846126,33899386,26074024,19389747,13870687,9515792,6241298,3907222,2339713,1355938,773301,773304,1355946,2339728,2360011,2360013,3942339,6294055,9588354,13740242,13740241,14059934,14059933,19218757,13727993,13727995,9588967,9588968,12766806,8677209,6764111,6764112,6764060,6269932,6269931,6383006,6370978,6370981,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441965,779087,1346456,778570,778572,1366941,2360876,3880118,2391266,1384115,1384117,2391273,2314239,1342359,1342361,2314245,3863226,6173879,9422336,255290509,13813411,19318327,25989242,25491753,255263671,9204542,6026193,6026191,9204540,13459862,18887598,25491749,33241600,42202622,52562622,64437826,77606852,257833397,42846123,33805344,33805345,42846124,53308583,65307960,77020240,63908588,52089299,41775495,32854681,32854680,32854679,41775411,32854607,32854608,41775413,52089195,63908427,77020070,90899833,77020071,255663080,74522485,74522482,61740662,50262244,50262245,61740664,74522484,88134538,102122161,116179643,105674890,257788006,77521998,258401923,52486485,42131511,33175136,25432410,18837940,13421571,9176529,6006072,3756180,2249651,1305143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163074, s2 = 14164221, dlinesl.size( ) = 2 s1 = 14163074, s2 = 14164221, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163074, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 6870759, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2043100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6526964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2045388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9179908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13678599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13678599, s2 = 1848308, int(edited[s2]) = 0 s1 = 13678599, s2 = 1848308, d1 = 39, d2 = 41 Dl.O(d1) = 149914625,141737731,128392338,126790746,114518187,260645561,114518203,128392336,141737726,141737740,128392354,114518216,114518190,114518191,128392324,126790764,126790763,135715729,135715728,148954741,154385229,141737728,260645565,114518206,128392337,141737730,152835922,140141307,126790786,112936325,112936324,114518215,126790755,112936292,98947112,85022016,85022017,98947114,112936297,126790757,114518201,100494369,86535646,72937358,72937359,86535649,100494375,260645563,100494365,86535642,72937356,72937355,86535637,100494361,114518194,114568965,100538692,100538693,114518175,114518174,258804850,86577907,100538695,114568971,108684095,108684096,113934264,113934265,261182019,114518167,114518166,260291210,107390627,92979858,78867810,65531660,53505967,43026300,33968446,26129754,19434812,19434811,26129752,33968442,43026293,53231250 Dl.O(d2) = 48121968,59509401,256543934,258284124,271876022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13678599, s2 = 1848308, dlinesl.size( ) = 14 s1 = 1689024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6981300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6981300, s2 = 6536257, int(edited[s2]) = 0 s1 = 6981300, s2 = 6536257, d1 = 12, d2 = 10 Dl.O(d1) = 260914574,270556904 Dl.O(d2) = 255695316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6981300, s2 = 6536257, dlinesl.size( ) = 14 s1 = 1344653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1344653, s2 = 11638094, int(edited[s2]) = 0 s1 = 1344653, s2 = 11638094, d1 = 145, d2 = 86 Dl.O(d1) = 33774294,42806667,53259715,65249271,78539406,257269856,106905718 Dl.O(d2) = 246907204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1344653, s2 = 11638094, dlinesl.size( ) = 86 s1 = 8299582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8299582, s2 = 13169560, int(edited[s2]) = 0 s1 = 8299582, s2 = 13169560, d1 = 19, d2 = 16 Dl.O(d1) = 257514087,258123821,72184347,257514085,255895627,16093707,11178082,7416574,4686739,4686738,7416573,11178080,16093703,16093647,16093648,22227240,29574403,29574376,22227218,22227217,29574374,38140947,256681440,40481820,31787097,24274003,24274006,31787101,40481798,40481799,36917246,28450209,21223564,15253806,10523497,10523495,15253797,15262968,13915945,13915942,17894147,17894146,19298908,25964862,33774420,33774421,42806787 Dl.O(d2) = 255792738,16264174,11307960,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,4608981,6121981,6121982,9346601,6929135,6929134,10508021,13589886,19038057,23279425,25642663,23775904,22433810,16266079,11309204,11309205,16266081,255244623,13204251,15687308,10859914,7179861,7179862,6135590,6135592,9367127,12656550,8592905,5583252,5583253,8592907,12656553,17872659,24249896,268449911,17866553,254874893,5581905,5581906,8590368,5583533,3464200,2054439,1178729,661882,661885,1178735,1178646,1178645,2054198,2054197,3463782,254875093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8299582, s2 = 13169560, dlinesl.size( ) = 14 s1 = 2048333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2048333, s2 = 7141729, int(edited[s2]) = 0 s1 = 2048333, s2 = 7141729, d1 = 113, d2 = 117 Dl.O(d1) = 53264994,47377906,37470853,256884779,58765172 Dl.O(d2) = 263533306,206713720,206713707,206713706,211669810,211669813,206713723,263533300,193604690,193604691,200714904,206713710,206713709,200714902,200714893,193604679,185308258,185308257,185444056,263138804,273859385,263138806,193604680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 5 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8024329, s2 = 14514662, int(edited[s2]) = 0 s1 = 8024329, s2 = 14514662, d1 = 1, d2 = 1 Dl.O(d1) = 30699693,30699694,29737712,29737711,38305687,48215564,255615558,29737715,29737716,38305696,31724521,31724522,31724534,31724533,37843971,47766587,59165302,59602682,48215609,38305791,29737853,255221048,17024864,11939867,7991014,5086175,5086176,7991016,11939871,17024870,254890106,255209168,14513455,20225434,16748874,254434194,7806359,254634616,22986867,22281601,22281600,22379902,25211356,25211358,29633885,38200711,30389776,29633843,28829636,28829637,37369745,42775504,41837903,32911305,25938002,19275246,16222880,11277524,11277522,16222875,22379598,22379773,16223027,16223025,16223040,22379818,29737703,22379573,22379572,29737699,29633644,22281409,22281408,29633642,30389779,29737982,22379838,22379839,29737984,29738019,38193787,29626841,255461035,11206857,255083839,255899529,38193782,48105455,59494058,48572721,48572719,48572705,38656856,38656855,48572703,59964757,72702197,59964819,48572765,38656890,38656891,48572761,38656887,30079855,30079856,38656722,38656675,30079741,30079740,33781502,42814098,48572771,48572770,59964824,65256802,53267068,42814073,42814072,53267067,65256799,78547091,84505468,72702173,59964710,256686048,38656840,48572607,48572608,48572438,48572437,48572493,48572492,59964519,63661194,51865580,51865579,63661190,76753634,85438339,85438338,98426972,98426973,112415566,99379269,85438364,85438365,259723182,258721843,258209664,64092705,66897767,54640277,257578573,48890610,54640279,54640280,258504993,80325572,80325573,84742158,84742159,258504994,66897631,66897634,74006029,80325634,80325530,66897682,257287463,43897158,54640212,61225169,61225027,61225028,61225033,61225034,61424339,49946513,39929021,31253870,23769609,23769608,31253866,31253835,23769591,17441572,17441568,23769586,24007344,31506607,31506614,24007358,17661422,12489233,12489234,12489206,8459036,8459037,12489211,17661389,24007293,25463801,25463802,31506597,40192011,40191983,40191984,40191985,50213989,50214139,257665193,40191724,33507542,25729066,25729069,33507550,42506490,52915944,52915943,64840752,71199991,58478005,47099649,37203304,28680058,28680059,37203309,47099656,49933164,39914822,31239294,23755683,23755682,31239288,39914820,257642019,74190816,74478156,61695770,50213981,50213980,61695767,61769119,64840719,64840720,67613042,55272210,44424937,40191930,40191929,50214038,50553133,40516926,40516927,50553137,55272213,55272193,44424918,35050161,35050159,35050165,40268139,40268138,50289329,61769095,55272222,55272221,67613054,74190810,74190814,74190815,61768997,50289256,40268072,31581155,24075627,256034223,40268068,50289249,61768981,74552752,88167966,88168037,259762729,94380769,87794462,74190812,61769351,61769350,257287320,50289637,43897179,34625181,34625182,43897182,54640244,44424950,35050181,26968953,20083550,20083548,26968947,31581235,31581234,40268178,50289371,50289405,40268214,31581271,31581272,40268217,40268225,40268226,31581341,24075763,24075762,31581338,31581388,31581389,40268341,50289527,256034224,31581312,31581314,40268275,50289362,50289363,50289603,40268430,31581488,24075874,24075713,17719159,12535654,12535655,17719162,24075708,24075709,31581259,40268203,34623671,31581220,24075677,21888829,15812180,10957758,7252930,4573973,4573974,7252932,10355407,10355406,254597698,28112433,25524445,18915214,13484538,13484537,18915210,25235151,32955026,30683442,23266567,17002707,11915833,11915835,17002712,23266574,23266722,17002788,11915876,7970898,5071815,3075066,1794006,1794007,3075067,5071817,7970902,11915884,17002800,23266742,25234962,32954799,255805758,30141458,30141459,38721059,41889871,32954531,25234728,18665769,18665768,25234727,257177969 Dl.O(d2) = 30699693,30699694,29737712,29737711,38305687,48215564,255615558,29737715,29737716,38305696,31724521,31724522,31724534,31724533,37843971,47766587,59165302,59602682,48215609,38305791,29737853,255221048,17024864,11939867,7991014,5086175,5086176,7991016,11939871,17024870,254890106,255209168,14513455,20225434,16748874,254434194,7806359,254634616,22986867,22281601,22281600,22379902,25211356,25211358,29633885,38200711,30389776,29633843,28829636,28829637,37369745,42775504,41837903,32911305,25938002,19275246,16222880,11277524,11277522,16222875,22379598,22379773,16223027,16223025,16223040,22379818,29737703,22379573,22379572,29737699,29633644,22281409,22281408,29633642,30389779,29737982,22379838,22379839,29737984,29738019,38193787,29626841,255461035,11206857,255083839,255899529,38193782,48105455,59494058,48572721,48572719,48572705,38656856,38656855,48572703,59964757,72702197,59964819,48572765,38656890,38656891,48572761,38656887,30079855,30079856,38656722,38656675,30079741,30079740,33781502,42814098,48572771,48572770,59964824,65256802,53267068,42814073,42814072,53267067,65256799,78547091,84505468,72702173,59964710,256686048,38656840,48572607,48572608,48572438,48572437,48572493,48572492,59964519,63661194,51865580,51865579,63661190,76753634,85438339,85438338,98426972,98426973,112415566,99379269,85438364,85438365,259723182,258721843,258209664,64092705,66897767,54640277,257578573,48890610,54640279,54640280,258504993,80325572,80325573,84742158,84742159,258504994,66897631,66897634,74006029,80325634,80325530,66897682,257287463,43897158,54640212,61225169,61225027,61225028,61225033,61225034,61424339,49946513,39929021,31253870,23769609,23769608,31253866,31253835,23769591,17441572,17441568,23769586,24007344,31506607,31506614,24007358,17661422,12489233,12489234,12489206,8459036,8459037,12489211,17661389,24007293,25463801,25463802,31506597,40192011,40191983,40191984,40191985,50213989,50214139,257665193,40191724,33507542,25729066,25729069,33507550,42506490,52915944,52915943,64840752,71199991,58478005,47099649,37203304,28680058,28680059,37203309,47099656,49933164,39914822,31239294,23755683,23755682,31239288,39914820,257642019,74190816,74478156,61695770,50213981,50213980,61695767,61769119,64840719,64840720,67613042,55272210,44424937,40191930,40191929,50214038,50553133,40516926,40516927,50553137,55272213,55272193,44424918,35050161,35050159,35050165,40268139,40268138,50289329,61769095,55272222,55272221,67613054,74190810,74190814,74190815,61768997,50289256,40268072,31581155,24075627,256034223,40268068,50289249,61768981,74552752,88167966,88168037,259762729,94380769,87794462,74190812,61769351,61769350,257287320,50289637,43897179,34625181,34625182,43897182,54640244,44424950,35050181,26968953,20083550,20083548,26968947,31581235,31581234,40268178,50289371,50289405,40268214,31581271,31581272,40268217,40268225,40268226,31581341,24075763,24075762,31581338,31581388,31581389,40268341,50289527,256034224,31581312,31581314,40268275,50289362,50289363,50289603,40268430,31581488,24075874,24075713,17719159,12535654,12535655,17719162,24075708,24075709,31581259,40268203,34623671,31581220,24075677,21888829,15812180,10957758,7252930,4573973,4573974,7252932,10355407,10355406,254597698,28112433,25524445,18915214,13484538,13484537,18915210,25235151,32955026,30683442,23266567,17002707,11915833,11915835,17002712,23266574,23266722,17002788,11915876,7970898,5071815,3075066,1794006,1794007,3075067,5071817,7970902,11915884,17002800,23266742,25234962,32954799,255805758,30141458,30141459,38721059,41889871,32954531,25234728,18665769,18665768,25234727,257177969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024329, s2 = 14514662, dlinesl.size( ) = 2 s1 = 8024329, s2 = 14514662, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8024329, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6692617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6692617, s2 = 13359378, int(edited[s2]) = 0 s1 = 6692617, s2 = 13359378, d1 = 54, d2 = 69 Dl.O(d1) = 257427858 Dl.O(d2) = 21264352,21264355,28481960,36979283,42094496,48762539,38842899,30259318,29189496,22863349,16636320,16636318,22863346,30259084,26013071,19338773,13830093,13830092,19338771,26013065,33831084,42872252,36979185,28481885,28481884,36979183,46857804,58225558,58225672,70942699,269109218,28755840,28755839,29708013,22352824,16201691,16201689,22352815,29707997,38274683,48184087,59570153,59712703,48325836,38416699,30259304,30259305,38843106,48762738,49390194,39461825,39461826,49390195,60790863,59762811,48380170,48380169,59762809,71322691,268767518,84751995,71183352,71183353,84751997,84655110,72449495,61504143,61504142,67499441,58589486,58589487,71322800,61504297,61504296,71092420,84655093,84896377,71322795,64116408,52267417,41928629,32988207,32988208,35130913,34940546,26867518,19991170,19991171,26867519,34940549,41750904,50026116,52267425,256165956,61517300,61517299,60644190,52064917,52064916,58804054,63883319,63883318,59762783,48380136,48380135,38538640,29972429,29972430,38538645,48447254,40007750,31329614,23838176,17498305,17498306,23838178,31329618,40007759,50022948,50022947,61500961,257175144,30857032 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657170, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8382037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13446615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13446615, s2 = 11002096, int(edited[s2]) = 0 s1 = 13446615, s2 = 11002096, d1 = 3, d2 = 5 Dl.O(d1) = 49763658,49763657,61242540,258156902 Dl.O(d2) = 254312860,34660291,254115850,14222552,9777561,6428755,4033205,2417039,2417038,2266007,1314495,1314496,254300571,6045767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13446615, s2 = 11002096, dlinesl.size( ) = 2 s1 = 13446615, s2 = 11002096, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13446615, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 1692871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6637184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6759978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6759978, s2 = 10343694, int(edited[s2]) = 0 s1 = 6759978, s2 = 10343694, d1 = 16, d2 = 18 Dl.O(d1) = 258157198,269773311,42909532,33864012,33864013,42909533 Dl.O(d2) = 257617174,255988302,16550559,16550557,22763598,26689315,255318121,254683331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6759978, s2 = 10343694, dlinesl.size( ) = 20 s1 = 2051622, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6581871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9388346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2403021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8320086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8320086, s2 = 13253748, int(edited[s2]) = 0 s1 = 8320086, s2 = 13253748, d1 = 30, d2 = 35 Dl.O(d1) = 271943795,258967360,257728974,63116850 Dl.O(d2) = 5690451,8740843,12853644,18126991,18817223,18295848,12986552,8840784,8840781,12986545,13878762,18126977,12853628,12853627,18126974,18126992,18126991,18817223,18295848,12986552,8840784,8840781,12986545,13878762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164582, s2 = 14251897, int(edited[s2]) = 0 s1 = 14164582, s2 = 14251897, d1 = 69, d2 = 67 Dl.O(d1) = 169944655,169944656,263324195 Dl.O(d2) = 777089,1363561,267814813,6279501,9569480,13942194,19482705,19530922,268091858,13844741,9497029,9497026,6296230,3944030,3944033,6296243,4272044,4272043,6196145,267776320,267776318,9720974,14130139,19518751,13972111,13972110,13942188,255298619,13942187,19482698,19518748,19518747,26235421,34098287,41107686,51287759,53460217,42985309,33931273,26097927,26097928,33931275,42985310,33931289,256689671,26097931,19408851,19408852,26097932,33931278,42985315,53460218,53460219,53460222,42985316,42985317,53460223,53460228,53460227,65480798,78811501,92917742,78811505,78811496,78811497,259087843,259740326,78811495,78811494,92917743,107322239,121703139,121703152,270071746,121703151,128462665,127829427,113949817,99926760,85969177,85969178,99926761,113949819,127829428,114593263,114578497,112498701,98503048,84577588,71012822,71012821,84577586,86600073,86600074,98503036,84577582,257862150,48875433,38955882,38955883,48875434,269777909,58297473,46931435,37053112,28552932,21327994,15356026,15356027,15356045,15356046,21328015,28552935,21408124,15419980,10659504,10659503,10608856,7000034,4399278,267882213,10608854,15356040,21328010,28552960,28552967,21328014,21328009,15356039,15356040,21328011,28552928,28552929,37053108,46931428,47070911,58297468,58297467,71012814,58297531,46931485,37053157,37053156,258044005,58447821,47070923,47070924,58447822,71170113,84739664,84739663,84739662,98503085,84725559,259304517,98668588,98668587,98668596,84739652,71170103,58447815,58447812,71170097,84739642,98503088,98668594,112664177,260526275,112664182,112664181,126515436,126515435,139880506,152589794,260591834,260416314,98668586,260526277,139891652,139891654,139891655,259991958,162608994,150484728,139891659,139891658,139891656,139891657,152600309,162608999,150484731,258748860,113765545,113765544,113765550,113765551,123720748,123720744,109528523,109528522,105360861,105360860,119592758,126155466,112295311,112295312,126155468,139530716,258748842,153649709,152262272,139530715,139530714,152262270,140982662,140982661,153649602,165430387,176112329,165430393,165430390,165430391,260591822,165430389,153649603,260591824,165430383,165430384,174966489,174966490,176112313,261168532,193835781,193835780,185576610,185576609,193835784,200916803,206891143,273716872,185576746,185576747,193835930,263897660,200916960,200916961,206891281,211826734,214094093,209659139,209659140,214094086,209659130,209659131,264501346,204253452,209659128,204253458,204253457,209659134,211826736,214094092,209659137,204253460,263739489,181359865,171331650,160105768,160105769,171331651,160105771,147852032,147852033,262003177,147852031,160105767,160105770,147852032,147852033,134726532,120928377,106675538,92371495,78338645,65059766,65059768,78338647,92371497,106675543,260904993,147852054,147852061,147852062,262498851,181359922,190168420,197773643,197773676,190168460,181359955,181359956,190168461,197773677,273797353,197773658,190168440,190168439,181359949,181359950,190168416,181359917,171331694,160105806,160105805,160105835,147852084,134726574,134726575,147852086,160105837,160105822,147852077,134726564,120928412,120928411,260310551,259066121,65059773,258437489,92371508,106675561,120928404,106675568,92371512,92371511,106675566,120928410,259694757,78338660,65059779,53077383,42629879,33605025,33605024,42629876,42629895,33605033,25807294,25807295,25807299,25807298,33605040,42629907,49082637,39152548,257009377,60486089,65059813,65059790,65059791,65059795,53077395,42629887,33605029,25807292,25807293,33605031,42629892,53077404,65059806,78338678,92371535,106675594,120928437,134726583,147852096,160105847,171331728,175463552,164708951,152876662,140185129,126836137,126836138,140185127,272188783,98991137,98991136,85064806,85064808,98991144,98991139,98991138,112981561,112981563,112981562,98991159,85064818,71492071,58761768,58761763,47374274,37467588,37467589,47374276,58761767,58761776,47374284,37467594,28927015,21650575,21650576,28927016,268925759,23569056,17257685,12137696,11577816,11577817,10805215,10805214,15616796,15530060,15530059,18015187,18015188,24427529,31981356,40728564,50832697,62414500,75312440,72194869,72194868,258124791,268942183,38153017,48065896,59457065,258748111,258214840,73232970,269366861,39152550,39152549,39152554,30554820,23137252,16876943,11806974,11806975,16876945,23137255,254336636,12681956,17902377,24283122,31797001,31797003,31797002,40491928,47250431,37340640,37340642,47250433,50527316,41636618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164582, s2 = 14251897, dlinesl.size( ) = 30 s1 = 6734232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13494057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13494057, s2 = 6201363, int(edited[s2]) = 0 s1 = 13494057, s2 = 6201363, d1 = 22, d2 = 10 Dl.O(d1) = 81093496,67627905,67627906,81093497,81093500,67627910,55289981,44445785,44445784,55289979,67627908,81093498,81092735,67627156,55295902,44451320,44451319,43003084,33947174,26111095,19418620,13892823,9532887,6253485,6253487,3914804,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914800,6252966,3914548,3914546,6253022,9532265,13892164,19417814,26110059,33945883,43001631,53478423,65500695,78832245,92938754,107343296,121724260,261501813,161229693,172436172,182391890,182391905,182391902,172436187,161229702,148915866,135668174,135668177,148915868,161229703,172436189,263398005,198589353,191097434,182391903,172436187,161229702,148915866,148915867,148915858,135668169,121724255,121724254,135668168,121724259,107343295,107343296,121724260,261501813 Dl.O(d2) = 243941498,243802009,274969347,243802009,243537934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13494057, s2 = 6201363, dlinesl.size( ) = 2 s1 = 13494057, s2 = 6201363, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13494057, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 10147059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10147059, s2 = 11204892, int(edited[s2]) = 0 s1 = 10147059, s2 = 11204892, d1 = 33, d2 = 0 Dl.O(d1) = 42997128,42997127,257165758,256818013,43002635,256172431,19418359,13892587,255703773 Dl.O(d2) = 14159724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10147059, s2 = 11204892, dlinesl.size( ) = 20 s1 = 7017680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7017680, s2 = 14024883, int(edited[s2]) = 0 s1 = 7017680, s2 = 14024883, d1 = 9, d2 = 25 Dl.O(d1) = 261417749,148916814,262036268,148916814,259719964,43002750,43002749,256172442 Dl.O(d2) = 8383068,7679859,7679858,11543503,11544148,7680276,4859656,4859654,7680269,11544140,12271648,8362300,8362301,12374888,17544205,17574812,12402994,12402993,17574809,23719410,23719411,19508184,13963634,9587652,9587653,13963636,19508186,26222393,23703939,17381289,12248198,255554273,255653154,268063618,255003495,254323819,1468251,833579,833580,1473993,2549039,2549041,2625462,2625461,2551540,1469791,1469792,2551541,4264142,4264145,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770728,4243689,4243687,5373441,5480132,5480131,6796384,7576213,11401891,10415943,9096067,6815743,4275048,4275045,5210771,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477431,1477433,2565792,3464476,3464478,4459891,3464868,2054728,2054731,3464876,4283523,2561009,2561011,3464904,3464902,5584765,6824866,6824869,10361290,8109050,8109053,12060446,12060445,17156974,20871435,258239152,47378329,37471254,37471253,39275184,39275183,49201588,60602238,49433455,49433454,60835403,73457283,60708900,49306622,49306623,42110091,33155564,25414535,256125011,257195555,259654917,259048532,106040532,256141534,25653129,25653128,24386530,24386531,31919092,269088246,259048528,143921506,260885686,150668267,137671947,123990772,123990771,137671946,150668265,162762783,150668262,137671943,137671941,262592137,183532204,192075224,199426606,192075227,183532196,173762980,162762777,162762778,173762982,183532200,186148717,176739209,263187427,194349371,187595829,178405168,167991961,156428319,259675228,116789283,259048528,143921506,260885688,178405166,262484826,162762775,150668255,137671939,137671938,150668252,162762774,173762975,260885690,143921510,130613998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017680, s2 = 14024883, dlinesl.size( ) = 2 s1 = 7017680, s2 = 14024883, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7017680, Dl.E( ) = 26, 1.31e-05 seconds used appending s1 = 1349996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1349996, s2 = 7739023, int(edited[s2]) = 0 s1 = 1349996, s2 = 7739023, d1 = 2, d2 = 81 Dl.O(d1) = 33955305,43012181 Dl.O(d2) = 274120269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1349996, s2 = 7739023, dlinesl.size( ) = 20 s1 = 6579315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6579315, s2 = 6784864, int(edited[s2]) = 0 s1 = 6579315, s2 = 6784864, d1 = 19, d2 = 31 Dl.O(d1) = 256173603 Dl.O(d2) = 257215633,258422959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6579315, s2 = 6784864, dlinesl.size( ) = 5 s1 = 1696871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1696871, s2 = 5054550, int(edited[s2]) = 0 s1 = 1696871, s2 = 5054550, d1 = 77, d2 = 36 Dl.O(d1) = 43026961,53506638,65532301,78868416,92980409 Dl.O(d2) = 209734342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1696871, s2 = 5054550, dlinesl.size( ) = 16 s1 = 8125165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8125165, s2 = 7576085, int(edited[s2]) = 0 s1 = 8125165, s2 = 7576085, d1 = 5, d2 = 10 Dl.O(d1) = 37530068,43034314,43034315 Dl.O(d2) = 256692634,268315948,39306361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8125165, s2 = 7576085, dlinesl.size( ) = 2 s1 = 8125165, s2 = 7576085, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8125165, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 1658670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13496263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8000888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13218521, s2 = 3123565, int(edited[s2]) = 0 s1 = 13218521, s2 = 3123565, d1 = 33, d2 = 6 Dl.O(d1) = 34012314,26170447,254791036 Dl.O(d2) = 98651684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13218521, s2 = 3123565, dlinesl.size( ) = 8 s1 = 1699178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1699178, s2 = 1810670, int(edited[s2]) = 0 s1 = 1699178, s2 = 1810670, d1 = 9, d2 = 21 Dl.O(d1) = 43101531 Dl.O(d2) = 47420225,37512468,28969184,21687385,15648395,10831108,7159806,4509448,2709687,2709688,4509450,7159809,255048641,10831134,7159821,4509455,4509454,7159817,255048643,9367993,254937763,19157504,25804258,33601497,42626020,53073539,44599678,44599679,55448970,67791609,65379686,53375690,42909211,33863664,256169107,19363171,13850180,9501341,6231978,6231979,9501343,13850183,19363175,26041741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1699178, s2 = 1810670, dlinesl.size( ) = 8 s1 = 7858313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858313, s2 = 8676358, int(edited[s2]) = 0 s1 = 7858313, s2 = 8676358, d1 = 126, d2 = 175 Dl.O(d1) = 1454207,1454208,2523464,2523486,1454219,823384,823383,1454228,2523500,4219052,4219053,2523315,2523314,4220275,2523244,1454054,1454055,1454481,1454480,2523876,4221184,2523881,2523882,2523878,2523879,4221188,6736917,267956004,14518683,10251496,10251495,14906450,10249220,6734110,4219047,4219046,2523257,2523258,4220300,6735802,6736149,254703329,6734059,6734061,4219069,2522474,2522473,4219066,6734134,10249247,14906485,20799959,20800198,20800239,14906740,14906737,14910623,20805242,20803151,20803150,20799853,14910877,14910876,20803426,14909239,14909240,20803429,20799905,14906427,14906428,10249412,6734257,6734258,10249104,6734020,6734019,10249108,14906322,14910850,20799937,14906466,10249232,10249230,10249115,10249116,14906337,10249134,6734040,4219003,3939722,3939721,6289915,9582025,13955116,256177207 Dl.O(d2) = 273635386,262948208,199839926,273452598,192460558,183997353,262719826,151614475 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2057426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6473970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7956955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8258810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6778851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6778851, s2 = 68281, int(edited[s2]) = 0 s1 = 6778851, s2 = 68281, d1 = 6, d2 = 9 Dl.O(d1) = 258360552 Dl.O(d2) = 1380787,2385248,254293018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6778851, s2 = 68281, dlinesl.size( ) = 2 s1 = 6778851, s2 = 68281, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6778851, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 6680568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1521597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16200691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16200691, s2 = 1703190, int(edited[s2]) = 0 s1 = 16200691, s2 = 1703190, d1 = 1, d2 = 1 Dl.O(d1) = 246226122,246317480,246403711,246485156,246562803,246636500,246705759,275056555,246893245,267598844,247022709,246969526,246912759,246853133,246791282,267545702,246511388,246431380,246346759,246256885,246160769,246060337,245953744,245840462,245720271,245591498,245453540,245307134,245151258,244984674,244807394,244618595,244416212,244198555,243964208,243712257,274941285,266988814,266890944,241327472,240872856,240382008,266567140,237975547,237227038,236405412,265953192,233437487,232246354,230926597,229453643,227795534,225906736,223741136,221242266,218325336,264125038,205477570,199239012,191866026,183294069,173489012,162447162,150311336,137270497,123539469,109347878,109347877,109347879,95093926,81036140,67567559,55224567,44373780,34995584,26914209,20029786,14346719,9856888,254969863,9856873,14345677,9856058,6474733,4057465,4057463,6474729,254969865,14346720,20029788,26914210,30453583,39043111,48964567,60359777,73098102,258080330,114721042,107753480,259282272,65832866,53772734,43256824,34166511,26298602,26298601,34166509,43256822,51189415,46434785,36570272,28099152,28099151,28289967,36786494,46672579,58047503,70766222,84325403,98232745,112210962,126067265,259282270,152163553,164042081,174860411,184472430,192872802,200085635,206172690,211202337,215318859,218717584,221584334,224045406,226179863,228038763,229670193,230997124,229529644,227877652,225997142,264826206,218448929,214991628,210788030,205641566,199420649,192068427,183524113,173753479,162751813,150655455,137657420,123975290,109835547,95631690,81598437,68109368,55712704,44805991,35381383,27256319 Dl.O(d2) = 246226122,246317480,246403711,246485156,246562803,246636500,246705759,275056555,246893245,267598844,247022709,246969526,246912759,246853133,246791282,267545702,246511388,246431380,246346759,246256885,246160769,246060337,245953744,245840462,245720271,245591498,245453540,245307134,245151258,244984674,244807394,244618595,244416212,244198555,243964208,243712257,274941285,266988814,266890944,241327472,240872856,240382008,266567140,237975547,237227038,236405412,265953192,233437487,232246354,230926597,229453643,227795534,225906736,223741136,221242266,218325336,264125038,205477570,199239012,191866026,183294069,173489012,162447162,150311336,137270497,123539469,109347878,109347877,109347879,95093926,81036140,67567559,55224567,44373780,34995584,26914209,20029786,14346719,9856888,254969863,9856873,14345677,9856058,6474733,4057465,4057463,6474729,254969865,14346720,20029788,26914210,30453583,39043111,48964567,60359777,73098102,258080330,114721042,107753480,259282272,65832866,53772734,43256824,34166511,26298602,26298601,34166509,43256822,51189415,46434785,36570272,28099152,28099151,28289967,36786494,46672579,58047503,70766222,84325403,98232745,112210962,126067265,259282270,152163553,164042081,174860411,184472430,192872802,200085635,206172690,211202337,215318859,218717584,221584334,224045406,226179863,228038763,229670193,230997124,229529644,227877652,225997142,264826206,218448929,214991628,210788030,205641566,199420649,192068427,183524113,173753479,162751813,150655455,137657420,123975290,109835547,95631690,81598437,68109368,55712704,44805991,35381383,27256319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16200691, s2 = 1703190, dlinesl.size( ) = 2 s1 = 16200691, s2 = 1703190, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16200691, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7813245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7813245, s2 = 13320609, int(edited[s2]) = 0 s1 = 7813245, s2 = 13320609, d1 = 31, d2 = 5 Dl.O(d1) = 38295442,38295443,48204682,48204681,59590975,70507095,70507096,84042314,260013814,267800089,1117260,626912,626913,1117263,254271489,5409673,5343599,5343600,257057653 Dl.O(d2) = 22531727,29886004,29886363,38442565,48345219,38442840,29886118,22531835,22531836,23127325,16867646,11799150,11799151,11799176,11799178,16867692,22532163,28384955,21166890,21166891,26141174,26141173,23128090,16867975,11799322,7880356,5004009,3024755,3024753,5004004,7880348,11799314,16867964,23128016,23128017,30546359,28832014,21561425,15540308,15540307,16867814,16867813,21711047,28995605,28995197,28995196,37540519,29900016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7813245, s2 = 13320609, dlinesl.size( ) = 2 s1 = 7813245, s2 = 13320609, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7813245, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 1703263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1703263, s2 = 6730092, int(edited[s2]) = 0 s1 = 1703263, s2 = 6730092, d1 = 13, d2 = 14 Dl.O(d1) = 43257588,256135484 Dl.O(d2) = 269140871,257798957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1703263, s2 = 6730092, dlinesl.size( ) = 2 s1 = 1703263, s2 = 6730092, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1703263, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 6730091, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2061066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163188, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9702290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2545867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2545867, s2 = 2413148, int(edited[s2]) = 0 s1 = 2545867, s2 = 2413148, d1 = 29, d2 = 11 Dl.O(d1) = 72199141,59461653,59461629,59461631,48743306,38823097,38823098,43299610 Dl.O(d2) = 65892385 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9359327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1798039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1798039, s2 = 15140881, int(edited[s2]) = 0 s1 = 1798039, s2 = 15140881, d1 = 13, d2 = 78 Dl.O(d1) = 47209378 Dl.O(d2) = 260485577,139051365,262138653,151753325,264158643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1798039, s2 = 15140881, dlinesl.size( ) = 2 s1 = 1798039, s2 = 15140881, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1798039, Dl.E( ) = 114, 2.91e-05 seconds used appending s1 = 8109111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657110, s2 = 8097845, int(edited[s2]) = 1 s1 = 9330520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 65851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9125763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8386461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8165139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8165139, s2 = 11421258, int(edited[s2]) = 0 s1 = 8165139, s2 = 11421258, d1 = 0, d2 = 22 Dl.O(d1) = 14087791,9689935,6375842,6375841,9693965,14094295,268323195 Dl.O(d2) = 65961402,256989030,258801606,136277434,149543036,161847880,261765450,191554276,262753592,198983249,191554277,182910560,261218656,161847880,261765450,191554276,182910563,262278018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8165139, s2 = 11421258, dlinesl.size( ) = 8 s1 = 2065449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8064439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8064439, s2 = 13713322, int(edited[s2]) = 0 s1 = 8064439, s2 = 13713322, d1 = 2, d2 = 49 Dl.O(d1) = 36830263,36830264,257416621,70801270,70800855,58084154,46712577,36830123,28333783,21122073,15174162,268202073 Dl.O(d2) = 210280983,273949722,263772176,172608385,161429951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8064439, s2 = 13713322, dlinesl.size( ) = 12 s1 = 10353139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6973141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 385446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2067291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2067291, s2 = 14182723, int(edited[s2]) = 0 s1 = 2067291, s2 = 14182723, d1 = 17, d2 = 45 Dl.O(d1) = 53940204 Dl.O(d2) = 33066323,255213614,256060940,52349840,52349839,64200300,77347960,91268046,105490365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2067291, s2 = 14182723, dlinesl.size( ) = 2 s1 = 2067291, s2 = 14182723, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2067291, Dl.E( ) = 46, 1.79e-05 seconds used appending s1 = 10166581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10166581, s2 = 14241568, int(edited[s2]) = 0 s1 = 10166581, s2 = 14241568, d1 = 63, d2 = 31 Dl.O(d1) = 254354898,21184725,28405889,36903256,46781084,47563719,47563720,58946518,61877325,50387787,40353092,31658419,31658418,31658381,31658382,31658422,40353094,50387790,256880111,28861831 Dl.O(d2) = 38644799,256971861,59952086,59952077,59952078,258129494,48560005,38644794,256190970,22690176,30069382,38644797,48560012,59952061,48560001,48560000,52061130,48560008,48560006,255085148,79142906,93257897,98363251,93257898,86442513,72848033,60111679,48716988,38795789,30211455,22819525,22819524,30211453,22819538,16600030,16600028,22819535,30211464,23038915,19837951,19837952,22602545,21960426,15867604,15867606,11268330,11268331,16210170,17840847,17840846,23391472,254887566,22001359,20167316,20167317,19650618,19650617,26385089,22222497,16089742,16089741,22222494,19839210,19839209,26022595,26399355,23311794,17049488,11960809,8006813,8006815,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,17123361,254539466,22656515,22656514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10166581, s2 = 14241568, dlinesl.size( ) = 2 s1 = 10166581, s2 = 14241568, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10166581, Dl.E( ) = 64, 2.69e-05 seconds used appending s1 = 9392360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8292026, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1363128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14483311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14483311, s2 = 2068143, int(edited[s2]) = 0 s1 = 14483311, s2 = 2068143, d1 = 15, d2 = 5 Dl.O(d1) = 254699380 Dl.O(d2) = 4041601,6444514,9805643,14268839,19921693,19739869,19739873,26509771,34441167,43629689,54271764,66404381,65836741,53776594,256702705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14483311, s2 = 2068143, dlinesl.size( ) = 2 s1 = 14483311, s2 = 2068143, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14483311, Dl.E( ) = 28, 3.6e-05 seconds used appending s1 = 6736394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7604706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6505173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8095057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16198949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13355639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6622172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8328773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13391159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13391159, s2 = 3717445, int(edited[s2]) = 0 s1 = 13391159, s2 = 3717445, d1 = 6, d2 = 32 Dl.O(d1) = 66874207,54616425 Dl.O(d2) = 100787914,99711638,99711637,113725820,107402096,92991816,78880193,65545067,53520892,53520891,60448271,49044468,39114673,30517338,29553625,29553626,38026332,38026333,47940118,53532685,65557512,78892519,93002358,99711670,85757734,72163261,60448275,60448276,50843880,40737987,31989138,31989135,29505189,29505188,38068543,33984829,268316047,19447579,268517205,38027897,29465732,22130866,16015970,16015969,22130861,29465725,38027890,47941654,59333441,59774768,49933035,39914710,39914711,39114690,30517346,23101160,23101161,256462189,258195169,86806949,100787917,114839687,128739183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13391159, s2 = 3717445, dlinesl.size( ) = 2 s1 = 13391159, s2 = 3717445, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13391159, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 2070662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2070662, s2 = 2070663, int(edited[s2]) = 0 s1 = 2070662, s2 = 2070663, d1 = 1, d2 = 1 Dl.O(d1) = 268736511,256084192,39834475,31151978,23664792,23664791,31151976,28646292,28646291,36924411,28425793,21202308,15236826,15236827,15425810,21415422,28659994,37179334,256232170,30078851,38655859,48571771,59963874,67601703,65553433,53528607,269556191,80307457,66877889,66877888,66877889,54620034,54620035,66877891,75811273,75811271,71219708,257652714,77735133,77735134,75811322,75811323,259587387,75811362,75811363,81091784,95149210,270276292,258635530,92604465,95149211,103709085,89593512,258635528,81188755,95243288,89593504,75811355,75811354,67724531,55385121,44538890,35162139,35162140,44538893,39463116,39463115,36827002,36827001,46709294,44538902,35162145,27075235,27075236,20179162,254980045,9961630,14478150,20179169,27075250,35162166,44538927,40572814,40572815,49211342,49211343,60611838,62114345,62114344,58554154,47165203,47165202,58554153,71286222,60075988,48679732,38758049,30175075,30175072,38758041,37938121,37938122,47857846,48844081,60238160,65218173,65218175,268128186,76937807,63830442,255878770,41704939,256916774,42727035,33697216,32201591,255616233,12882024,18164331,24563545,18124149,18124150,24563548,24524724,18093333,18093332,24524721,24613187,22009682,15908111,15908113,22009685,21388420,15404352,15404351,21388417,19280075,13782300,13782299,19280068,19280069,24029378,24647926,24647927,32246126,25943686,19280323,19280324,24563537,23995698,17652041,12481639,12481637,12988066,8841804,267854773,3589081,5762267,8841806,12988071,255626065,32401894,33924481,33924482,42977831,53451871 Dl.O(d2) = 268736511,256084192,39834475,31151978,23664792,23664791,31151976,28646292,28646291,36924411,28425793,21202308,15236826,15236827,15425810,21415422,28659994,37179334,256232170,30078851,38655859,48571771,59963874,67601703,65553433,53528607,269556191,80307457,66877889,66877888,66877889,54620034,54620035,66877891,75811273,75811271,71219708,257652714,77735133,77735134,75811322,75811323,259587387,75811362,75811363,81091784,95149210,270276292,258635530,92604465,95149211,103709085,89593512,258635528,81188755,95243288,89593504,75811355,75811354,67724531,55385121,44538890,35162139,35162140,44538893,39463116,39463115,36827002,36827001,46709294,44538902,35162145,27075235,27075236,20179162,254980045,9961630,14478150,20179169,27075250,35162166,44538927,40572814,40572815,49211342,49211343,60611838,62114345,62114344,58554154,47165203,47165202,58554153,71286222,60075988,48679732,38758049,30175075,30175072,38758041,37938121,37938122,47857846,48844081,60238160,65218173,65218175,268128186,76937807,63830442,255878770,41704939,256916774,42727035,33697216,32201591,255616233,12882024,18164331,24563545,18124149,18124150,24563548,24524724,18093333,18093332,24524721,24613187,22009682,15908111,15908113,22009685,21388420,15404352,15404351,21388417,19280075,13782300,13782299,19280068,19280069,24029378,24647926,24647927,32246126,25943686,19280323,19280324,24563537,23995698,17652041,12481639,12481637,12988066,8841804,267854773,3589081,5762267,8841806,12988071,255626065,32401894,33924481,33924482,42977831,53451871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2070662, s2 = 2070663, dlinesl.size( ) = 2 s1 = 2070662, s2 = 2070663, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2070662, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2070880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6581331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2071248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6422758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6422758, s2 = 2421675, int(edited[s2]) = 0 s1 = 6422758, s2 = 2421675, d1 = 0, d2 = 0 Dl.O(d1) = 254151985,2412263,4025421,254963777,9758424,6416316,4025418,4025419,6416317,9758424,256200305,43889710,54254283,43616080,34431830,26504568,19737356,14146077,9729163,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,34933772,34799765,26764020,26764025,34799751,34807462,43035082,33978090,26770779,19922211,19922209,26770822,34809429,44146104,54917028,63173459,51469441,41263374,41263378,51469450,47188374,47188373,58578605,57536075,57536076,70204546,83726182,97598510,270214708,260692901,108661477,94374058,80318611,66890191,66890190,259133581,108661475,122925790,136757136,149898284,162110175,173210028,183060779,191669880,199073318,205336216,210521059,214757763,218244330,221173550,223682050,225855739,227751986,229415703,230893197,232216725,233410973,234495438,235483061,236384030,237207126,237957495,238640292,266637596,239674722,239087916,238449300,237750015,236980389,236136730,235210819,234193879,233075226,265318850,228915518,264664544,222839744,220154206,216979165,213151924,208470797,262041966,188128250,260345900 Dl.O(d2) = 254151985,2412263,4025421,254963777,9758424,6416316,4025418,4025419,6416317,9758424,256200305,43889710,54254283,43616080,34431830,26504568,19737356,14146077,9729163,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,34933772,34799765,26764020,26764025,34799751,34807462,43035082,33978090,26770779,19922211,19922209,26770822,34809429,44146104,54917028,63173459,51469441,41263374,41263378,51469450,47188374,47188373,58578605,57536075,57536076,70204546,83726182,97598510,270214708,260692901,108661477,94374058,80318611,66890191,66890190,259133581,108661475,122925790,136757136,149898284,162110175,173210028,183060779,191669880,199073318,205336216,210521059,214757763,218244330,221173550,223682050,225855739,227751986,229415703,230893197,232216725,233410973,234495438,235483061,236384030,237207126,237957495,238640292,266637596,239674722,239087916,238449300,237750015,236980389,236136730,235210819,234193879,233075226,265318850,228915518,264664544,222839744,220154206,216979165,213151924,208470797,262041966,188128250,260345900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6422758, s2 = 2421675, dlinesl.size( ) = 2 s1 = 6422758, s2 = 2421675, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6422758, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 8112871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2071822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9505697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163351, s2 = 9075728, int(edited[s2]) = 0 s1 = 14163351, s2 = 9075728, d1 = 12, d2 = 6 Dl.O(d1) = 46942597,37063584,33622914,25821978,19171494,19171495,25821980,33622915,36432727,27973771,20810203,255782097,36432726,257383757,26961310,26961309,27226803,27226802,35349867,37994288,32318443,32318444,41132147,41132056,32318359,24704024,18233413,12933119,8798345,5731095,3568432,2126920,1227206,694374,694375,1227209,2126926,3568437,2126922,2126923,3568439,5731106,8798364,12933148,255621623,32318411,41132114,51315670,62994772,59188863,47788727,47788728,59188864,71928485,71928494,71928488,59188858,59188859,71928489,85516116,99461952,271184826,70339159,57648682,257334460,20828392,20828391,27992708,36451124,39400842,44726861,43165847,256177753,26222086,34082638,43165848,36658467,28181933,28181934,36658468,43913929,255339940,34640518,43913992,54656789 Dl.O(d2) = 254216100,34982390,26902558,20019899,14338665,14338664,20019898,19268625,19268624,25930650,254318422,254695644,68012570,55625211,55625210,254216104,44360002,55210866,67554714,254695646,95531591,95531550,95531551,109338280,95083509,95083508,93425885,79298050,65935379,53868577,43344084,34244527,26368018,19635561,18027825,12777922,8685921,8685920,6302155,6302156,6164858,3857568,3857567,6164856,9409203,9599106,13977130,13981941,9603835,6365068,3993699,2393380,1385163,1385164,1343885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163351, s2 = 9075728, dlinesl.size( ) = 8 s1 = 1082176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6624228, s2 = 8910580, int(edited[s2]) = 0 s1 = 6624228, s2 = 8910580, d1 = 10, d2 = 46 Dl.O(d1) = 256655050,66922436,54665858,43923267,43923268,54665859 Dl.O(d2) = 266137647,233996817,235033151,235976330,236835029,237615392,238325083,274817115,238325091,237615396,237615395,238325088,238325086,238325087,238971096,274817117,238971102,238971100,238325094,238325093,238971098,238915204,238263045,237546620,236757496,235891357,234941353,233898408,232754057,266006495,228483911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6624228, s2 = 8910580, dlinesl.size( ) = 22 s1 = 10170961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10170961, s2 = 9407657, int(edited[s2]) = 1 s1 = 9385977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7972550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6888305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9664501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14249611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14249611, s2 = 9663051, int(edited[s2]) = 0 s1 = 14249611, s2 = 9663051, d1 = 17, d2 = 25 Dl.O(d1) = 118831284,130065619,116157566,102100547,88113771,74502378,74502377,88113770,102100546,260137203,259522515 Dl.O(d2) = 61721061,61721062,74502375,74502376,61723867,50244976,40224778,31538282,24035430,24035429,24033865,17682693,12505366,8471296,5475798,3369582,1982815,1132542,1132540,1132506,1132505,1982738,3369456,3369788,3369787,5476155,8471543,12505753,17681940,12506319,12506318,12504444,8470659,7002456,4401124,4401125,7002458,10612078,15360140,12506335,8471961,5476189,3369808,1982945,1982946,3369816,5476206,7723913,4889034,4889033,7723908,11602712,12504863,17682045,17683744,12506148,8471915,8471914,12505416,8471335,5475821,5475387,3369643,1982853,1132560,635231,635230,1132526,254274353,5475706,8471143,12505126,12505120,12505119,17682381,24033492,24033494,17682382,17682383,24033495,31536011,40222169,47555683,256356637,255428043,15742928,21803470,29101495,37650462,47555684,41968340,41968341,33025364,25299116,25299115,33025363,269072653,58349653,46980237,46980236,58349652,46980245,37096686,37096685,46980239,37096682,28590086,21358713,15380942,10628983,7015759,4411370,2645152,1528613,1528616,873859,492946,276487,274123,274117,487627,864069,1523863,267816859,6417973,9761320,14199933,19823446,19823445,268538381,34624723,26635200,26635201,256723629,43896704,54639771,61721052,257438890,58349648,58349647,71065972,71065963,58349642,46980228,46980227,58349640,65539881,256077102,47515522,47515521,58895311,53515852,43037648,33980379,26140898,19444088,13913911,13913910,13913914,9549556,6265724,3922809,2348349,2348350,3922810,6265725,9549558,13913917,19444093,19444099,26140913,26140901,26140902,268517129,33980387,43037663,53515872,46942594,37063580,28562144,28562143,21335618,15362167,10613708,7003804,4402208,4402207,7003801,10613704,15362160,21335610,22424248,16258162,11303482,11303483,16258164,16258165,16258166,22424252,28562145,29789716,254994812,25056609,18518602,18518600,23339612,30762636,25056570,18518570,18518569,25056445,32747836,25056442,25056443,21678959,15639648,10822650,10822651,15639653,20214925,27117613,25056435,18518483,13157539,13157538,18518476,13932511,13932512,19467696,26168483,254658170,49025036,48460325,38548060,29979126,22612361,21627888,15596958,15596956,21627886,28902480,37442089,47348832,57630599,46285830,36432725,36432726,269293113,66956098,54697254,43953443,43953442,54697252,66956095,65088591,65088592,78264719,64991198,64991199,78264721,92291819,106590109,106590110,98542738,84618080,84618079,258671854,84388350,98296981,112278503,112579124,98585195,84661662,258058392,47011153,37124199,28613334,21377692,15395903,10640592,9930793,254976827,255746263,27020293,35105846,35106137,27020526,27020527,35106138,44482898,55328989,67668777,81135201,81135202,81135200,67668772,67668771,55328987,55328988,67668776,81134494,67668779,55328990,44482885,35106130,27020519,27020518,35106129,27020521,27020520,35106132,44482888,258532465,95192897,109448253,123641091,137372937,150413583,162542977,173574520,183369572,191932494,191932495,199298785,205531546,210687415,214899251,218364762,219666896,219666895,216402129,212464706,207648514,201807045,201807046,194867549,186760481,186760480,194867547,186760482,177451800,166911966,155225884,260851894,271527064,115287730,115287732,101209114,101209113,101209109,87208147,87208148,271374565,115287729,115287728,129216418,142588003,155225883,166911965,167380747,155747730,143195493,143195494,140051692,126704367,260276534,113984234,123731315,113984232,113984231,118215088,113516037,113516038,114106262,114106263,118215091,104055491,104055492,91429698,87747985,81568883,77498453,64334055,52466412,49881390,39858396,31175813,31175812,39858395,49881387,52466409,42113790,33159389,25418372,25418371,33159385,35351645,35351644,44776183,55684366,64334036,258691440,58640101,47246949,37337094,28799271,21533246,21533245,28799269,37337089,257456225,71376383,84952070,98877688,99321757,85376959,71787438,59045769,52279369,52279370,47644230,47644231,59045771,71787443,71376386,71376388,84952075,91197980,77277685,77277684,71598628,58877971,47497931,47497930,58877969,71598624,65540590,53516544,43038267,33980884,26141347,19444438,13914146,9549720,9549719,13914144,19444434,26141333,19444431,13914142,9549718,9549716,13914138,15394740,15394739,21376204,28611553,29195907,255433493,15807594,21883704,29195904,37757320,29954943,29954942,38519756,48427375,59813364,72548598,71820730,71820729,259344325,85014860,85014861,85014864,98940536,99501746,85555201,71967830,59229982,47832220,37910468,37910467,47832218,59229978,71967824,85555194,88341053,74713190,74713189,61919974,50430150,40396761,31704670,31704671,40396763,50430154,61919981,50430164,50430165,61919988,74713181,88341046,93369734,93369732,79241620,79241619,93369730,259187404,93369733,107792233,102337508,258558454,79241618,93369712,259736521,102337520,91830264,77909679,64721519,52807662,52807661,52807658,42407436,256143083,25649414,33417255,42407434,52807654,64721512,77909668,91830256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14249611, s2 = 9663051, dlinesl.size( ) = 2 s1 = 14249611, s2 = 9663051, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14249611, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 9682088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2075369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2075377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2075377, s2 = 3504550, int(edited[s2]) = 0 s1 = 2075377, s2 = 3504550, d1 = 22, d2 = 41 Dl.O(d1) = 54706910 Dl.O(d2) = 115959643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2075377, s2 = 3504550, dlinesl.size( ) = 2 s1 = 2075377, s2 = 3504550, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2075377, Dl.E( ) = 102, 4.39e-05 seconds used appending s1 = 14164390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164390, s2 = 14163599, int(edited[s2]) = 0 s1 = 14164390, s2 = 14163599, d1 = 4, d2 = 7 Dl.O(d1) = 54870652,67190024,80664729,94742764,109023072,109023071,123248392,123248370,109023099,94742777,80664737,80664736,94742765,80664730,80664731,94742767,109023083,123248401,137016375,150093842,162262223,150093827,137016367,123248393,123248392,123248370,109023099,94742777,80664737,80664736,94742765,94742766,109023073,123248394,123248357,123248356,137016328,123248357,123248356,123248431,259774053,67190031,54870659,54870658,67190015,67190014,54870645,257896295,80664713,258937104,94742783,258516317,54870659,44070308,34753588,34753587,268542825,19898503,14254413,9797612,6440500,4039785,2420603,1401146,1401145,2420602,4039783,4039786,2420606,1401148,1401147,1401144,797467,254152381,2420599,4039780,6440497,9797609,14254408,19898500,26733509,34753583,44070299,54870638,67190002,80664699,77864430,65759245,65759244,79115498,93232430,79115496,65759242,53702150,53702149,43190460,34104722,34104719,26241209,26241210,34104720,43190458,53702147,65759241,79115494,259730713,81117785,81117786,95176220,109432390,123625860,137358075,139297207,125947837,125947838,112113895,98154460,84260563,70709293,257032688,36728794,46616579,48123842,256397525,22294878,16149840,11219857,7444540,254353181,1643907,1643910,2833668,4703747,4703806,7443780,4703322,4703320,7443722,7443724,9738750,11218543,11218542,12042198,11220011,7444642,7444641,7444622,4703779,4703777,4704128,2833846,2833843,4704119,7445272,11219816,16149787,16150256,11220179,7444754,7444753,7445507,11220731,9738769,6404029,6404031,9738776,14165733,19777085,20977788,16151901,11221421,7445564,4704276,4704275,7445559,11221410,11220291,7444831,7444832,11220295,7445013,7445014,7443706,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,16148504,11219944,11219942,11221835,255901297,255901095,16150364,16150363,12656863,12656862,12306598,8312372,8312373,11220553,7445000,7445002,11218827,11218828,9738736,6404009,6404006,9738727,7445224,4704097,2833831,2833832,4704104,7445244,7054539,4440908,4440910,7054547,10679588,8312366,8312364,12306580,17456977,19777025,14165668,12306525,8312329,5363561,3297259,3297260,5363563,3297272,3297271,5363584,8312370,12306594,255560095,23787886,31273380,38215169,29648628,22296616,16151415,11221062,11221063,16151420,12306427,12306428,17456800,19365556,22296988,22626565,255474476,11218761,11218763,16148171,22292775,16152680,16152681,22297798,29038131,29038074,29038073,37585669,29644524,29038042,21745855,15694322,10864707,7183392,4525513,4525512,7183388,5363526,3297242,3297243,5363527,8312273,7183420,4525525,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,37585795,29038222,21746010,15694423,15694421,21746005,29038212,37585786,39219431,30622290,23200475,23200474,29038457,35307899,27188246,20264415,14539326,14539327,17455737,17112005,17112004,23382458,30811009,29836805,22469568,16300871,16300870,22469565,29836803,37530590,33749815,25942293,19278956,13781359,9448802,6194614,6194612,9448800,13781356,13780826,9448494,9448493,13780823,19278217,25941479,33749157,29817128,29325340,21995712,16150574,16150576,22295694,25941186,19278154,13780806,13780807,19278199,25941466,24341167,24341166,22295707,255095074,14539710,10003705,6574059,4118058,4118057,6574057,10003704,14539709,20264956,27188842,33748840,25941128,19279114,19279115,17950706,17950705,24341197,22534188,16360698,16360697,268340001,14490495,14490496,20195510,256752967,55409377,67749870,254916062,77338030,91257557,105479694,91664444,77736598,64554238,64554239,77736600,91664447,77736611,64554248,52654568,52654567,64554247,259039605,257796881,52654924,64554542,77736897,91664740,105873021,105053120,90873935,90873934,105053118,105872697,91664449,91664450,105053117,257171732,76995684,257760740,64260847,257433684,42061698,52405486,64260844,259024243,91329151,260246148,91329146,77410577,77410576,269874578,55350020,55350019,67689697,81155242,258668000,52405481,52405482 Dl.O(d2) = 52722902,64623001,77805451,91733179,105873016,105873015,258974222,105940556,120152547,133993699,147215805,260814298,133993707,120152555,120152554,120152541,120152542,133993694,147215796,147215801,261383312,156895845,156895846,156895852,156895853,168358956,156895849,144485118,144485117,153535371,271919508,170570408,159232997,146859812,259089144,133844150,147087996,159462321,260935296,152692337,147087993,147087992,149851900,136709065,122877063,122877064,136709037,122877059,108612472,108612474,122877061,122877056,108612467,94325301,80269026,66839338,66839337,259130141,90771545,84047860,259261197,84860438,71285883,71285885,74867833,258061218,116615956,259932046,111852721,98788825,98788824,90771550,90771551,257450366,74867834,88504029,84860443,71285891,58553920,47164988,47164987,58553918,71285890,84839572,71265326,58533494,47145156,37239839,37239838,31842868,31842869,36459318,36459317,46312098,39752173,31074531,23591214,255996815,39752170,256329558,58533499,255837930,84839576,269316198,81222483,81222491,67756362,67756363,81222492,95279874,109534521,260999571,261228138,117968641,103821504,103821505,117968643,112342489,98359955,84450290,70893420,259285275,112342492,126202995,137454015,123726259,109534509,95279865,95279864,100880598,100344249,86386955,257580276,48656023,48656022,60052378,72791001,73073597,73073598,86678172,100650947,112342497,112342495,112342494,271297910,129524959,141682982,128333247,271358992,86474539,72878977,72878976,86474534,72878975,60142536,60142535,72878973,258811350,71909601,59171474,47772569,47772570,59171477,258727221,99436339,113438236,114456160,100529838,260047633,100431690,100431689,259319310,86900493,73289931,60546669,60546670,72970392,60233192,60233193,65731395,260047629,86568616,72970385,60233189,60233190,72970390,60233195,60233194,48838848,38918303,30331819,22930879,16696309,16696310,22930882,30331825,38918312,257575253,72970415,86568638,100529834,113772904,113772905,100529823,258692550,72970396,60233196,49147414,49147415,60546686,73289940,86284892,86284893,81562200,259179813,85804978,72210745,72210746,85804980,81562199,68072329,68072328,61928790,50438341,257680705,73289967,257513662,60126557,48732041,48732042,60126559,72863285,86458792,100415780,114279315,114279314,127719473,113848630,99832892,259989938,81562202,68072332,68072333,81562204,85879374,85772303,72178050,72178049,68072324,55673420,55673419,68072320,74722426,258746814,72863288,86458795,88350473,88350474,102346632,114279316,100415795,86458812,86458813,99832889,99832887,113848627,113848623,99832881,258755885,72287406,258132719,258132721,72863278,86458783,100415774,99832906,85879387,72287431,59553237,59553236,72287429,85879384,257513660,60126562,48732045,48732046,60126566,72863297,86458802,100415791,100415781,100415782,99832893,99832894,99832897,113848633,101372607,87388158,73768718,73768719,85879392,85879394,99832912,102346621,88350458,74722406,61928796,258912499,102346620,102346615,100415793,259998811,85879380,72287426,72287427,85879382,74722428,257680711,256549111,31712345,40404396,38811836,30229067,30229066,38811832,48732048,59553245,72287415,59553224,48166540,38257114,38257115,48166546,59553232,63125827,51428593,41230848,255608726,18300599,24781750,32406176,269044621,40404401,31712348,24204729,17835051,12629324,12629323,17835048,24204724,29691690,22338968,16191176,16191177,22338971,29691664,22338954,16191165,16191166,268403859,29691694,22338972,22338973,25815793,33615604,31712333,24204716,24204715,31712334,24204739,24204738,31712329,40404379,50438364,53092343,42642535,42642524,42642528,47277736,37367845,37367846,47277738,47277748,47277747,58669295,47277724,37367837,37367836,47277722,58669293,65076779,64417274,52542893,42184166,42184165,52542891,64417272,61928764,50438320,256549099,31712302,38150296,31988935,31988934,40737779,47277742,37367850,28827797,268210113,15536560,21557044,28827800,37367855,46934486,46934485,257117416,80664727,67190021,54870649,54870648,67190018,80664721,271159631,80664704,67190005,54870640,256732155,34753584,44070301,257896295,80664714,80664715,94742750,94742770,80664734,67190027,54870653,44070304,34753585,26733512,19898502,14254413,9797612,6440501,4039785,4039784,4039781,2420604,1401146,797468,451997,254681,140960,77169,73119,73125,73399,39723,39721,39608,21813,21812,39560,72918,134103,242562,429712,756154,1324952,2284232,3813264,6094768,9304223,13588327,19036339,19041233,25605879,25605880,33370666,256026126,65759245,53702151,43190460,34104722,26241211,19524009,13976922,13976921,14538699,20263752,27003875,35089563,44465955,55311837,65759240,65759241,79115495,259730713,95176219,95176220,109432390,123625858,123625859,137358074,137358075,150399335,139297208,125947837,125947838,112113896,112113897,125947840,139297210,260084678,101157602,101157601,98154458,84260561,84260562,259890085,260491879,139297206,152004358,163872801,174690676,184313386,273520549,199972529,206090502,211147579,211147580,215282683,274113748,214858016,210641909,263962886,191871306,183300757,173497720,162457466,150321794,137279980,123547828,109356159,95101955,81044561,67576621,55234174,44384028,44384029,35005959,26924099,20038947,14354673,9863179,6478996,4060065,4060064,4833521,4833522,6868981,6868982,10419743,15107107,16486593,16486595,14614872,10056006,10056003,14614946,20361314,27300233,27300145,20361259,14614910,10055982,6607292,6254563,6254562,9534398,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,27299827,24561168,18122137,16707918,11667341,11667339,16487814,22687835,26113886,31986485,31986484,30066478,22687934,22687933,27964338,30055993,38630087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164390, s2 = 14163599, dlinesl.size( ) = 2 s1 = 14164390, s2 = 14163599, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164390, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 6478296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8060974, s2 = 10352272, int(edited[s2]) = 0 s1 = 8060974, s2 = 10352272, d1 = 178, d2 = 134 Dl.O(d1) = 76763781,63671073,60900447,49489935,49489936,54731924,43983224,34704314,259140635,95007340,80947038,67477667,55137776,44294383,44245945,43824647,43824649,47158948,37254166,37254167,45613881,45613884,39661005,39661002,49659599,57629936,46285143,36431998,34892983,26831804,26817475,19953913,14288756,14288760,9830765,6457974,4047985,2423372,2423366,4047988,2423733,2423727,4049264,6447469,6447463,9811051,14277714,19935491,26790059,34835862,44180379 Dl.O(d2) = 257285330,22795845 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 1719304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2077693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2077924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2078318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2078318, s2 = 7913779, int(edited[s2]) = 0 s1 = 2078318, s2 = 7913779, d1 = 5, d2 = 11 Dl.O(d1) = 55207140 Dl.O(d2) = 2263133,2263138,2262917,2262921,3777770,5735552,8804982,12942224,12958493,13618322,9324956,6108240,3821902,3821903,254304776,6134951,3838206,3838207,6086593,6086592,6096834,6096836,9274840,6075291,6075290,9274838,13547995,9325801,6108857,6089707,3810127,2282219,2282220,3810129,6089708,9296391,13577298,255677131,25638878,33405531,42394703,52794335,64708196,77896736,91818105,106013057,120215183,134050738,147269737,159626503,170950291,175138468,164344142,152475245,139753142,126377036,112505698,98510521,84585553,71021474,58306209,46940054,37061323,268382079,15360928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2078318, s2 = 7913779, dlinesl.size( ) = 2 s1 = 2078318, s2 = 7913779, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2078318, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 7860481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13244609, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13343565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6879891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13330339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13330339, s2 = 13582144, int(edited[s2]) = 0 s1 = 13330339, s2 = 13582144, d1 = 0, d2 = 0 Dl.O(d1) = 58089233,46717483,36834789,28337991,21125751,21125752,28337994,36834793,46717489,58089230,70806068,61635686,61635685,70806097,58089248,58089247,58089246,63809599,51994211,51994212,51051843,51051844,40910201,32132594,32132595,32485073,24843044,18347444,13025033,8868846,5781952,5781953,8868848,8868849,5781954,5781955,5819592,5781945,5781947,8868841,13025027,12914121,12914122,8784829,5721560,3562066,3562065,5721559,5436031,5436030,3563848,2123827,1225054,692662,387306,387305,692659,1225053,1238279,702186,702185,702184,1238277,2143692,3594893,5770944,5857508,8972871,13164152,18528092,25070242,32766930,25070238,18528087,13164149,8972869,8972870,13164150,255641131,18528082,13164146,13164147,18528083,25070232,32766924,41683016,41099454,32290109,24680129,256076725,32766925,41683003,257759825,63809595,63809592,258374191,55220309,44369119,44369120,55220311,63809590,63809591,76916535,90791656,104967951,117440386,103304475,89209060,81033175,257903061,44369122,34990762,26909713,26909714,34990764,44369126,55220317,67563961,81033181,259022980,75914920,75456783,62534209,50930563,50930562,62534207,75456782,89209070,103304476,117440387,117440388,103304480,89209067,89209068,84532733,70969906,58254192,46887321,46887320,269863714,98454274,112443506,259485336,98454275,112443507,126307780,131755643,117935495,260802665,131755640,137268302,123537258,109345493,95091316,81033176,67563956,67563957,81033177,95091320,109345496,123537262,259860664,145003226,259860658,141827741,141827742,132117404,118304285,118304277,104150862,104150861,118304275,132117393,118304284,104150870,90025807,90025806,104150865,104150866,109335612,95080821,95080822,104150864,90025803,76221135,76221136,90025805,269289154,128917110,115014936,100960591,100960590,257990672,256802704,109335618,95080826,81021755,81021756,90111478,90111468,76296862,63274783,51556036,41333131,41333132,51556035,51556056,49361357,39431795,30827561,268061508,12036962,8092343,5184574,5184573,8092341,12036958,17127714,23399780,30827549,23399786,17127718,17127717,21573963,15550827,10755322,10755323,13904521,9542408,6410434,4021617,4021216,4021214,4768163,7537364,11341981,16300616,13340655,13340654,18739935,25317787,19794113,14178330,14178329,19786219,14172425,9743142,9743141,14172423,19786216,19787021,14173057,14173056,19787019,26592202,20298598,14566607,10023434,10023432,14566604,19785836,20222733,19803469,18969576,18969575,14176952,14176951,19792314,14511395,14511394,14173588,9743965,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,19793471,26599661,24669143,18206257,12913180,8784114,8784115,12913183,18206261,18206262,21899582,21899583,27209702,20281539,20281538,27209699,29385306,22562226,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294823,31809941,35334351,40505472,49345263,46381503,39203045,30607022,30607021,255881864,49053434,49053435,49234197,39307392,31233977,24571887,24571886,27210305,32156036,32156037,37777241,31235666,23752535,23752534,23020566,16780209,11732775,11732773,16602365,22822530,27976936 Dl.O(d2) = 58089233,46717483,36834789,28337991,21125751,21125752,28337994,36834793,46717489,58089230,70806068,61635686,61635685,70806097,58089248,58089247,58089246,63809599,51994211,51994212,51051843,51051844,40910201,32132594,32132595,32485073,24843044,18347444,13025033,8868846,5781952,5781953,8868848,8868849,5781954,5781955,5819592,5781945,5781947,8868841,13025027,12914121,12914122,8784829,5721560,3562066,3562065,5721559,5436031,5436030,3563848,2123827,1225054,692662,387306,387305,692659,1225053,1238279,702186,702185,702184,1238277,2143692,3594893,5770944,5857508,8972871,13164152,18528092,25070242,32766930,25070238,18528087,13164149,8972869,8972870,13164150,255641131,18528082,13164146,13164147,18528083,25070232,32766924,41683016,41099454,32290109,24680129,256076725,32766925,41683003,257759825,63809595,63809592,258374191,55220309,44369119,44369120,55220311,63809590,63809591,76916535,90791656,104967951,117440386,103304475,89209060,81033175,257903061,44369122,34990762,26909713,26909714,34990764,44369126,55220317,67563961,81033181,259022980,75914920,75456783,62534209,50930563,50930562,62534207,75456782,89209070,103304476,117440387,117440388,103304480,89209067,89209068,84532733,70969906,58254192,46887321,46887320,269863714,98454274,112443506,259485336,98454275,112443507,126307780,131755643,117935495,260802665,131755640,137268302,123537258,109345493,95091316,81033176,67563956,67563957,81033177,95091320,109345496,123537262,259860664,145003226,259860658,141827741,141827742,132117404,118304285,118304277,104150862,104150861,118304275,132117393,118304284,104150870,90025807,90025806,104150865,104150866,109335612,95080821,95080822,104150864,90025803,76221135,76221136,90025805,269289154,128917110,115014936,100960591,100960590,257990672,256802704,109335618,95080826,81021755,81021756,90111478,90111468,76296862,63274783,51556036,41333131,41333132,51556035,51556056,49361357,39431795,30827561,268061508,12036962,8092343,5184574,5184573,8092341,12036958,17127714,23399780,30827549,23399786,17127718,17127717,21573963,15550827,10755322,10755323,13904521,9542408,6410434,4021617,4021216,4021214,4768163,7537364,11341981,16300616,13340655,13340654,18739935,25317787,19794113,14178330,14178329,19786219,14172425,9743142,9743141,14172423,19786216,19787021,14173057,14173056,19787019,26592202,20298598,14566607,10023434,10023432,14566604,19785836,20222733,19803469,18969576,18969575,14176952,14176951,19792314,14511395,14511394,14173588,9743965,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,19793471,26599661,24669143,18206257,12913180,8784114,8784115,12913183,18206261,18206262,21899582,21899583,27209702,20281539,20281538,27209699,29385306,22562226,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294823,31809941,35334351,40505472,49345263,46381503,39203045,30607022,30607021,255881864,49053434,49053435,49234197,39307392,31233977,24571887,24571886,27210305,32156036,32156037,37777241,31235666,23752535,23752534,23020566,16780209,11732775,11732773,16602365,22822530,27976936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13330339, s2 = 13582144, dlinesl.size( ) = 2 s1 = 13330339, s2 = 13582144, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13330339, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6516743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6658691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2079445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2079445, s2 = 12261384, int(edited[s2]) = 0 s1 = 2079445, s2 = 12261384, d1 = 5, d2 = 7 Dl.O(d1) = 55227724 Dl.O(d2) = 255738278,26917211,34998621,34998650,34613784,34613777,26624762,19814249,14193095,14193097,14193111,19814258,19814257,26624775,26624888,19814327,19814325,26624885,34613927,34613815,26624789,26624790,34613818,43885058,54627418,50680983,40623535,31909242,24377707,24377706,31909240,40623532,34998757,26917343,20032881,20032882,26917348,34998763,34998263,34998264,34998433,26917004,26917005,34998438,34613911,26624875,19814320,19814319,26624871,34613909,34998640,34998445,34613840,26624808,19814284,14193118,9756953,6415468,6415465,9756944,14193105,19814264,26624782,34613808,26917285,26917283,26624770,26624769,34613793,43885042,36544421,28076477,28076478,26624904,26624905,34613954,254685368,255322660,24340945,31863125,40564736,50605763,42024981,33080958,28660100,28660099,37179448,39871393,33080975,25349921,18768141,13364478,9133504,5976954,5976951,9133496,13364461,18768113,25349894,33080931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2079445, s2 = 12261384, dlinesl.size( ) = 2 s1 = 2079445, s2 = 12261384, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2079445, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 2079617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2079617, s2 = 15300692, int(edited[s2]) = 0 s1 = 2079617, s2 = 15300692, d1 = 72, d2 = 75 Dl.O(d1) = 81043015,67574709,55232064 Dl.O(d2) = 173665051,262093822,150523163,137492422,123767723 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2079644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2079655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8308898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8308898, s2 = 14163273, int(edited[s2]) = 0 s1 = 8308898, s2 = 14163273, d1 = 26, d2 = 25 Dl.O(d1) = 257520955,38229023,29662543,22309903,16162880,11229862,7451573,7451572,11229861,16162875,16162876,22309899,22309900,29662538,38229015,48008084,38096392,38096391,37981171,29418290,22309890,16162869,11229857,7451570,7451569,11229856,16162868,22309886,23402814,17129995,17129994,23402813,30830913,39435087,49364317,49367611,49367610,49784990,60767322,49364319,49364320,48119478,38209012,38209011,39734469,257045851,48119482,38209018,29642421,22290605,16146298,16146297,12140962,8170408,8170409,12140964,17261280,23572641,31056294,39734478,49753166,61232152,74012647,87616749,101583767,261436881,119904319,105668353,91444931,91444932,98336394,258656459,46788020,36910343,28412937,255386207,15228435,21191411,21585073,15560438,10762869,7111326,4477544,2690192,1558383,1558382,2690189,4477539,7111315,10762849,15560411,21585051,28858361,37399464,42801617,33769933,30096097,22714445,22713638,16509511,11504926,7653113,4842276,4842275,7653112,255109039,16281988,11323218,7519564,7516338,4751542,4751539,7516331,11319780,11009770,255066561,7517697,4752492,2864229,1662418,945877,533439,533440,945879,1662391,267997174,11321262,16280217,11322537,7518834,7518835,11322538,16281368,22450608,26622423,26170913,19470016,267744782,9565075,13934006,13934005,13934009,9564544,6276450,6276451,6276544,6276856,4838744,2915826,2915825,2352920,1363008,776793,440970,248602,137320,74822,74823,137324,248610,440989,776835,1363084,1368949,2364319,3948339,6301129,9596685,9564428,6276381,6276380,7651604,7645402,4836907,4836908,7645405,11494903,16497958,11711732,7813533,4956411,4956409,7813529,11711726,11497975,7647846,4838745,254542337,9682695,6368702,6368703,9682698,14077677,19641458,26374744,25021161,18490909,13136814,8953258,8953261 Dl.O(d2) = 255935868,12606735,8555775,5552751,3437251,2033354,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869533,4870563,4870562,4860103,4860099,2932402,1700739,966855,544694,305165,305168,544702,966876,1699010,966056,966052,1699053,2929069,4860621,7681771,11410982,16393286,11409522,7581599,7581602,5966107,3730804,2233617,2233613,3730792,5966092,9118203,13344853,10518107,6936412,4358709,2611524,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404476,2427806,2905028,2905632,2905010,2905011,4820676,7619172,11448546,16433431,22618113,22579385,22579384,22626383,28579883,28579882,22579408,22579409,29942533,29942539,29942540,256090472,29996809,29996658,22627875,16441859,11455856,7619883,255104577,22627945,29996756,34038963,26187119,255318243,9787446,9787448,6559863,255753319,256754751,255899214,36627964,46494431,50872554,62470523,64379793,52506147,52506148,64151336,257184440,33015575,33015576,268675624,29519197,38083848,30898955,30898956,30898960,30898959,39506407,49437296,44599336,256230155,27125377,35218568,44599341,55448657,60838880,268977241,30898936,256490997,39506365,30898951,23465432,23465433,256490999,23465460,17185850,17185852,23465461,30899002,268977243,30898966,23465438,23465437,30898963,39506411,49437301,60838927,60838920,60838921,67791323,55448651,52546000,52546001,256744854,39506404,39506405,49437289,55448594,44599296,39506379,30898944,23465427,23465426,30898941,25344459,18763752,18763753,25344463,33074555,30898925,23465414,23465415,30898926,23465462,255153151,8126118,8126117,12084124,17185849,23465456,30898993,27125360,20220905,255754101,35218534,44599289,55448583,67791253,67791255,55448589,44599292,44599291,54617751,66875653,60838939,60838915,49437286,49437285,55448599,55448600,67791264,259287666,49437255,55448669,269640893,81259994,270882155,73588613,60838935,49437306,49437307,39506425,30898977,23465445,17185842,17185841,23465441,30898969,27125383,27125381,35218577,42748283,53197222,65182235,64207990,52357794,52357793,64207989,77355640,81259944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8308898, s2 = 14163273, dlinesl.size( ) = 24 s1 = 8057479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1723057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6792157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6792157, s2 = 7918599, int(edited[s2]) = 0 s1 = 6792157, s2 = 7918599, d1 = 7, d2 = 7 Dl.O(d1) = 258526255,257306255,35031728,26951275,20066648,14382579,9888077,6497044,4071115,4071116,267946817,268174103,14382585,268174103,20066658,254973929,9894718,14388924,14392639,20050306,14382589,9888087,6497057,4071123,2436062,1408746,801484,801485,1408750,2436032,4065524,4533742,2725297,2725299,4059795,4059796,4533664,4533663,6508071,4078272,4078273,6508073,6508125,4078305,2440151,1410801,802501,802498,1410796,2440140,4078285,4539950,4539951,4074494,2437924,1409627,1409628,2437927,4074405,6502296,9894660,10880299,7193404,4531723,4531724,7193407,9866388,6481249,4061382,4061381,6481246,9866385,9896502,9891844,9891845,7144734,4498881,2703303,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434556,1408441,1408438,1406482,1406434,1406432,800373,453605,453603,800356,1406016,2430733,4061391,6481265,6497893,6497894,9889103,14383508,10885880,10885879,9900746,254974613,11595028 Dl.O(d2) = 258526255,257306255,35031728,26951275,20066648,14382579,9888077,6497044,4071115,4071116,267946817,268174103,14382585,268174103,20066658,254973929,9894718,14388924,14392639,20050306,14382589,9888087,6497057,4071123,2436062,1408746,801484,801485,1408750,2436032,4065524,4533742,2725297,2725299,4059795,4059796,4533664,4533663,6508071,4078272,4078273,6508073,6508125,4078305,2440151,1410801,802501,802498,1410796,2440140,4078285,4539950,4539951,4074494,2437924,1409627,1409628,2437927,4074405,6502296,9894660,10880299,7193404,4531723,4531724,7193407,9866388,6481249,4061382,4061381,6481246,9866385,9896502,9891844,9891845,7144734,4498881,2703303,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434556,1408441,1408438,1406482,1406434,1406432,800373,453605,453603,800356,1406016,2430733,4061391,6481265,6497893,6497894,9889103,14383508,10885880,10885879,9900746,254974613,11595028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792157, s2 = 7918599, dlinesl.size( ) = 2 s1 = 6792157, s2 = 7918599, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6792157, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9326166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2082078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8182387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10170942, s2 = 7943735, int(edited[s2]) = 0 s1 = 10170942, s2 = 7943735, d1 = 10, d2 = 10 Dl.O(d1) = 59476651,48086521,257516969,43938923,43938925,43938832,34664759,34664758,43938830,54681371,66937583,257290577,43938734,54681269,47888429,47888430,258112539,70673400,57954361,46577682,46577681,57954364,70673402,60335700,48938017,39014937,39014938,48938018,48938203,39015118,37518280,37518279,32337390,24721175,24721176,32337393,41152691,257729853,46274686,46274685,57619114,49720231,39701685,31024573,23543174,255993111,39701697,40253940,257137020,61755748,63787822,60335738,48938065,39397046,30794248,30794245,39397040,40253936,38125255,29559747,255038006,11168909,10284577,6760033,4236266,4236267,6760036,10284580,14950409,16225385,16225386,22383209,29742320,26995577,26995576,35080467,44455471,50119361,40098915,31418922,255570391,12413947,12413949,12930666,8796468,5729797,5729800,8796475,8390556,5414431,3328283,3328282,254596953,12414237,263159615,141181462,261797232,72363434,59629016,59629017,72363435,72363434,259386807,113938721,127818932 Dl.O(d2) = 59476651,48086521,257516969,43938923,43938925,43938832,34664759,34664758,43938830,54681371,66937583,257290577,43938734,54681269,47888429,47888430,258112539,70673400,57954361,46577682,46577681,57954364,70673402,60335700,48938017,39014937,39014938,48938018,48938203,39015118,37518280,37518279,32337390,24721175,24721176,32337393,41152691,257729853,46274686,46274685,57619114,49720231,39701685,31024573,23543174,255993111,39701697,40253940,257137020,61755748,63787822,60335738,48938065,39397046,30794248,30794245,39397040,40253936,38125255,29559747,255038006,11168909,10284577,6760033,4236266,4236267,6760036,10284580,14950409,16225385,16225386,22383209,29742320,26995577,26995576,35080467,44455471,50119361,40098915,31418922,255570391,12413947,12413949,12930666,8796468,5729797,5729800,8796475,8390556,5414431,3328283,3328282,254596953,12414237,263159615,141181462,261797232,72363434,59629016,59629017,72363435,72363434,259386807,113938721,127818932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10170942, s2 = 7943735, dlinesl.size( ) = 2 s1 = 10170942, s2 = 7943735, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10170942, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 8104674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8104674, s2 = 6742268, int(edited[s2]) = 0 s1 = 8104674, s2 = 6742268, d1 = 16, d2 = 22 Dl.O(d1) = 260294980,67652035,67652034 Dl.O(d2) = 55312620,44466706,268028786,20113946,14424717,14424716,12083728,8125832,8125833,12083733,17185397,20113677,20113678,27004221,27004434,255683953,19107025,25740426,32313683,24700098,18230234,18230233,20113338,20113337,20113679,27004222,258531011,95176601,257995770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8104674, s2 = 6742268, dlinesl.size( ) = 12 s1 = 1049813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1049813, s2 = 7931224, int(edited[s2]) = 0 s1 = 1049813, s2 = 7931224, d1 = 47, d2 = 43 Dl.O(d1) = 26667153,26667154,34659232,257290091,44467722,44467721,55313609 Dl.O(d2) = 256394318,11216372,11216373,254528350,16098262,16098260,11193524,7427178,4693311,2827901,1640746,1640745,2827897,4693301,7427163,7433937,7433939,11203457,15530074,15526746,11194079,7427572,4693546,254527523,7427639,7427638,268084625,255458178,22243481,22251071,16114269,16113884,11193104,255082567,22252077,29601767,255470892,17125637,16122314,11199414,7431155,4695809,2829311,254527757,11194070,11194071,16114963,22233027,16098174,16098173,22233026,16115046,15891335,11016521,7293235,7293233,11016516,15891328,21987778,29316102,37065836,28564155,255452082,28422750,28422751,36920800,37520373,28976572,255176708,10834383,15653234,12004840,268102851,17097379,12017005,8076264,5171369,3153325,1845118,1052933,1052919,1052921,947118,947120,1664823,2868495,3158387,3158388,5131852,3119784,1838219,1049022,590152,329235,181451,181454,329247,584418,583401,583404,587853,587850,1037811,1037815,1037814,1817622,3050467,5038560,5125199,5125200,8035488,7644431,5115285,5115284,3142512,3142511,5159111,7526272,7526273,8037166,8037165,8048052,8048051,11164368,8023552,5112587,3104785,1818715,1818716,3112295,1833738,254257637,254563020,5105992,3099805,1817232,1037611,1037612,254256071,1838254,254384863,8061189,5153636,3137518,3137519,4760030,4760031,7526623,11329646,7529492,4762673,4762674,7529494,11326248,254378092,16993192,11907531,11907532,16993058,16284931,11326450,11326449,7993336,5088098,5088096,7975553,5075361,3077782,3077785,5075368,7975564,11921295,8042586,5133112,5133108,7975056,8074011,7527970,4761224,4761225,5177861,5177863,8081849,7992391,7992390,11941452,11325414,11325410,254129886,11326337,7522702,4756717,2867007,1664004,1663985,946723,533854,533855,946727,1663993,2866985,4756678,7522637,11326250,16284772,17103294,17036981,11950959,7999891,5092635,3090581,1805282,1030896,1030897,1805284,3090585,2713026,2713027,4515226,7169159,10844759,12006228,12006229,17093126,18709529,13316402,13316404,18709532,16284825,11326308,11326307,16284824,22453872,21599858,15970422,267901498,21298659,15331032,10588583,10588584,15331034,18814267,25403956,33144064,29822746,28991604,21707315,21707316,23282779,23282778,255421624,60624152,256890310,100968604,115024565,259330892,154910381,166607944,166607941,166607942,261677578,194669133,201645296,263513666,199004952,191582937,182948453,262554175,261526549,122357239,107930373,107930374,93492617,79356134,65989149,53920457,43395349,34295437,26419163,19682724,14111159,9707329,6385506,4006853,4006852 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6477317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1726733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2085177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 695217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6484310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6724283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9142354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13164749, s2 = 7764522, int(edited[s2]) = 0 s1 = 13164749, s2 = 7764522, d1 = 93, d2 = 89 Dl.O(d1) = 24168207,24168206,31587047,40273756,31819072,31819071,39908414,31231911,23748337,22797350,16580481,12231620,8259260,5328552,3275320,1926495,1100736,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,3438907,3438911,5554538,8557641,6880736,6880739,9233668,13496518,18931756,24155841,17812812,12610987,12610986,13736635,17388655,12253536,8275600,5339681,5339682,5566801,8275264,5339495,5339496,8275268,7693445,7693447,11560535,12232136,12232139,17362067,23682371,17788490,17369089,12580052,12580051,17775651,24139949,24099131,17740440,12552368,12552370,17740442,17663134,12490329,12490330,17663137,254139284,12575552,12575553,17770338,15538707,10746545,10746544,12575544,8559443,5556463,5556462,8528912,8528915,12575396,17770126,17388178,12253161,12253160,17388173,17796197,17796198,24163980,24072389,24072390,23765840,17786810,17786808,24071206,17717134,12533686,12533684,11404531,7578484,7578486,11404536,8568319,5563922,5563920,8568317,12622129,17826649,24195898,254409846,49900977,39879691,39879692,254612866,27042065,24138891,24138890,31645752,254869820,19704120,19704119,20148628,24153666,27041474,30237421,30237420,27041428,20148414,17787371,17787370,17714841,17714839,18861965,14453243,9943715,9943714,14453181,14453183,16605983,11581578,11581580,12676809,16613103,17724608,15107876,10420335,10420337,15107885,21034058,17817697,17817698,24138903,21034037,15107867,10420330,10420329,15107863,12251996,11744451,9944776,9944773,14453562,9943917,9943913,14453555,255193392,40276209,268116802 Dl.O(d2) = 231605436,274603117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13164749, s2 = 7764522, dlinesl.size( ) = 40 s1 = 9142164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9737667, s2 = 16230163, int(edited[s2]) = 0 s1 = 9737667, s2 = 16230163, d1 = 42, d2 = 37 Dl.O(d1) = 64389,64385,64662,64658,63191,63189,115565,211195,254109663,1216936,687287,687286,712693,1253205,2165468,3625939,5812777,8907527,8992600,9416369,13743696,19236735,25896985,33703161,40228615,40228616,50248466,61726867,74507759,61726864,61726865,74507762,88118834,89931780,256753228,51423860,41226751,256083843,24778684,32402600,41226753,38648365,38648366,48563718,38648358,30072519,30072518,268955281,49325740,49325741,53720881,47684088,47684087,59083925,59083940,53720927,257854325,257608701,39397553,30794677,30794675,39397551,257028055,30794636,30794637,34121470,26256267,26256268,34121472,34121456,34121454,34121717,26256468,26256467,34121715,34121643,26256461,26256460,34121707,43208990,34121785,34121784,34121747,26256493,19537908,13989662,13989665,19537765,26256289,34121492,34121709,26256463,19537893,13989654,9610349,9610350,13989563,255711237,34121465,256180923,19537955,13989699,13989700,19537956,19537969,13989710,255301601,26256564,34121461,43208742,43208936,34121651,34121652,34121655,34121656,26256558,26256557,34121817,34121627,255711243,13989624,9610332,6312272,6312273,9610295,6312245,6312244,9610292,13989584,9610358,6312283,3956188,3956190,6312290,9610372,13989693,255711265,19537770,13989719,254674251,3956197,3956198,6312299,9610389,13989726,19537993,19537817,13989607,13989606,19537813,26256364,256180907,256180905,31658233,31658232,34121674,257260083,41421145,32561506,24910065,18405080,13073043,8908390,5813365,3626361,2165740,1253402,1253401,2165738,3626358,5813357,8908376,13073015,255632599,32561425,32561427,32561428,41420975,41421012,41421011,36475101,28014571,28014572,36475102,42888445,41766540,32846117,256621877,26702859,26702858,34697386,43972608,54716401,66975366,80405661,94465449,108759002,99870481,85915328,72322155,59587687,48201201,48201202,59587689,72322158,85915332,99870487,113889013,114518494,114518495,105440448,105440447,113889037,127764231,272463609,272094387,123721387,127942831,127942832,260586924,155562429,150485330,137449792,260407675,95273909,81216081,67749551,67749549,81216079,85488231,71903197,71903196,85488228,85488233,259969805,113431746,99429817,258726511,59165131,47766364,37843749,37843748,47766360,59165123,71903191,85488217,99429793,100492382,109529203,114516165,100492379,100492380,256326808,67696803,55356832,44510195,35133304,27047683,254501232,44510193,35133308,27047686,20155096,14458846,14458845,20155094,27047684,35133306,44510197,55356835,256326810,37214810,47111631,58489402,71210837,84779485,98707443,112703054,271931058,258950544,55297725,269636987,67624989,270136237,81090621,95148052,109401859,123593439,137324625,150365330,152006536,260214648 Dl.O(d2) = 260338099,92938297,78831752,65500192,53477894,43001009,33945209,26109421,19417314,19417313,19418286,26110661,33946633,43002500,53479407,65501861,270576667,260338203,121725392,262036253,148916689,262531733,262896944,185326619,175820540,260827966,140599376,258988088,258361346,85453399,71868402,59130085,47731332,37809198,29244772,21924973,254901588,37809200,47731333,59130086,71868404,85453401,99394255,113395005,127253331,140599377,153280002,165094517,261933634,193619765,200727522,206725160,211680128,215729543,219078481,221906507,224333842,226441061,228275941,229887190,274517668,228481899,226669975,224590464,222195933,219406655,216104747,212119119,207240772,201324824,194295422,186088200,262272002,154278797,154278796,141623072,128272621,260035909,258794887,48689571,48689572,60085631,60085629,257562345,38767740,30184108,22794379,16577811,11558474,7691817,4867517,4867518,7691820,7731289,4894332,2949567,1710573,1710576,2949576,4894352,7587635,11416957,15102074,10416164,10416163,255367523,11610495,11610496,16642606,22870625,22870626,30267415,38851463,48771271,60165449,72902131,86498525,100456937,114482038,128358661,141706620,262278163,176738139,186147698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9737667, s2 = 16230163, dlinesl.size( ) = 2 s1 = 9737667, s2 = 16230163, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9737667, Dl.E( ) = 46, 1.79e-05 seconds used appending s1 = 2087667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9142402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9142402, s2 = 14116966, int(edited[s2]) = 0 s1 = 9142402, s2 = 14116966, d1 = 0, d2 = 0 Dl.O(d1) = 13364008,13366168,18769740,25351175,21967614,255876631,20106576,14418838,9917298,9917299,12793404,255213559,268080478,18751411,13350173,9122442,5969295,5969294,254916149,7008346,4405611,2640924,1525651,865210,865211,1525654,2640928,4405621,5969079,5969078,4395274,4395275,6993748,6997925,6997924,268070273,15346341,21317329,20245383,14527629,9996289,6569723,4115542,2461689,2461690,254475007,9996290,14527630,20245384,27157031,35256059,44640552,55490523,67831737,81297497,95353492,91966539,78039345,64842245,52917461,42508015,33509107,25730501,19098472,13635523,9337026,6115866,3826540,2292504,2292501,2756010,1597655,1597658,2756047,4580939,7263972,10974635,15837049,16828724,18847143,18846666,18846667,13429071,9181557,6009484,3758675,2251606,1306583,1306584,2251612,3758688,6009508,9181594,13429136,13428546,9181253,6009296,3758580,3758581,6009302,9181258,13428553,18847579,25444581,33189992,30495945,23082460,16829864,11768983,7857459,7857458,11768978,16829855,18849115,13429649,13429650,16830341,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,30495574,39091900,255130586,39092752,39092753,31494279,31494280,256224378,35140827,256749527,40179712,40179711,255749992,35144066,35144067,42727952,35142689,35142690,39088741,30491962,254248956,254372030,35138479,35138481,35138522,44513669,254978746,20157875,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,4581310,2756238,1597762,1597764,2756241,4097295,254472861,9950587,14463239,20160820,256224071,44516546,55362764,67702560,81168308,95224670,109478648,123670433,137401533,150440920,162569172,173599168,183393198,191955163,199320472,205551979,273898064,206326508,200265069,193088139,193088138,263655626,200265069,193088139,184725417,175148237,261336288,139767514,126392099,112521671,98526929,84602124,71038081,71038082,84602125,258929252,126392101,139767515,152488056,164355440,262382048,193088140,200265070,206326509,211338620,265171193,265261638,215889635,211861616,206931950,200965120,193890507,185636236,176175746,165497600,153719325,141052764,260854252,99818645,85865399,72274022,59540524,48154252,257183306,29680730,22329366,16183304,16183305,20346610,20292172,20292173,20865920,14963815,14963814,14963984,11516460,11516457,16524461,21619295,15589101,15589104,14983498,14983497,16296044,11338261,7534710 Dl.O(d2) = 13364008,13366168,18769740,25351175,21967614,255876631,20106576,14418838,9917298,9917299,12793404,255213559,268080478,18751411,13350173,9122442,5969295,5969294,254916149,7008346,4405611,2640924,1525651,865210,865211,1525654,2640928,4405621,5969079,5969078,4395274,4395275,6993748,6997925,6997924,268070273,15346341,21317329,20245383,14527629,9996289,6569723,4115542,2461689,2461690,254475007,9996290,14527630,20245384,27157031,35256059,44640552,55490523,67831737,81297497,95353492,91966539,78039345,64842245,52917461,42508015,33509107,25730501,19098472,13635523,9337026,6115866,3826540,2292504,2292501,2756010,1597655,1597658,2756047,4580939,7263972,10974635,15837049,16828724,18847143,18846666,18846667,13429071,9181557,6009484,3758675,2251606,1306583,1306584,2251612,3758688,6009508,9181594,13429136,13428546,9181253,6009296,3758580,3758581,6009302,9181258,13428553,18847579,25444581,33189992,30495945,23082460,16829864,11768983,7857459,7857458,11768978,16829855,18849115,13429649,13429650,16830341,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,30495574,39091900,255130586,39092752,39092753,31494279,31494280,256224378,35140827,256749527,40179712,40179711,255749992,35144066,35144067,42727952,35142689,35142690,39088741,30491962,254248956,254372030,35138479,35138481,35138522,44513669,254978746,20157875,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,4581310,2756238,1597762,1597764,2756241,4097295,254472861,9950587,14463239,20160820,256224071,44516546,55362764,67702560,81168308,95224670,109478648,123670433,137401533,150440920,162569172,173599168,183393198,191955163,199320472,205551979,273898064,206326508,200265069,193088139,193088138,263655626,200265069,193088139,184725417,175148237,261336288,139767514,126392099,112521671,98526929,84602124,71038081,71038082,84602125,258929252,126392101,139767515,152488056,164355440,262382048,193088140,200265070,206326509,211338620,265171193,265261638,215889635,211861616,206931950,200965120,193890507,185636236,176175746,165497600,153719325,141052764,260854252,99818645,85865399,72274022,59540524,48154252,257183306,29680730,22329366,16183304,16183305,20346610,20292172,20292173,20865920,14963815,14963814,14963984,11516460,11516457,16524461,21619295,15589101,15589104,14983498,14983497,16296044,11338261,7534710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9142402, s2 = 14116966, dlinesl.size( ) = 2 s1 = 9142402, s2 = 14116966, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9142402, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11657460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9386681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9386681, s2 = 15327925, int(edited[s2]) = 0 s1 = 9386681, s2 = 15327925, d1 = 62, d2 = 147 Dl.O(d1) = 81174614,81174611,67709189,55369537,268828973 Dl.O(d2) = 255701156,1093476,613858,613859,1093483,1914692,3258943,5308768,8236451,10962362,7256310,5961976,5961975,8231988,8231989,11284667,7491708,7491709,8456274,8456273,7490216,4733791,4733792,7490219,7490650,5305240,5305239,8221508,8236409,5462821,5462820,5256623,3212801,3212802,4832271,7637820,7255964,4576194,2753258,1905132,1905130,3245738,2753032,2753036,4575807,5241834,8172686,8223067,5308703,3258885,1914657,1914660,3258895,3225423,3225422,3268180,3359270,1974926,1127491,632237,350987,192294,192296,350994,632253,1127525,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,1087140,1087129,1087130,1904239,3243588,3243589,3201388,1874389,1096243,1096242,1919117,3265115,5264336,254273521,1974890,3359215,254395227,1904712,1904713,3245167,5293993,8204587,8204586,8248043,5320033,5320034,5315871 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656272, s2 = 8386581, int(edited[s2]) = 0 s1 = 11656272, s2 = 8386581, d1 = 16, d2 = 15 Dl.O(d1) = 33071372,33071373,42015319,42017192,33073134,25343134,25343133,256615014,256630293,52305748,63775048,258372569,90763759,104943617,119139353,132973971,146206878,158580838,169946408,180121986,180121985,189072671,196823721,203455434,264614163,213567585,217301797,220412111,220412119,217301802,217301801,265281335,217301805,213567600,209008652,203455423,196823716,196823717,203455426,209008657,264048616,189072669,262920988,169946406,263324319,262920988,158580837,158580838,169946408,180121986,180121985,189072671,196823720,203455431,209008663,213567604,264858833,213567587,209008632,209008631,209008641,274139439,264867130,264858835,264867134,213567616,217301813,220412127,217301810,213567606,213567607,274308432,220412121,217301803,217301804,220412117,265281335,217301805,213567600,209008652,203455423,196823716,196823717,203455425,209008654,213567602,217301808,220412124,265464445,225333211,225333214,265288480,220412128,220412112,217301798,213567586,209008632,203455409,203455408,209008630,213567585,217301797,220412111,220412119,217301802,213567595,209008648,203455421,196823715,189072666,180121984,169946405,262907921,189072668,196823719,203455430,209008659,264246316,200482310,193330654,184997274,175454363,272876238,152862060,140168362,126818454,126818453,112964602,98975503,85050437,71478927,58749799,47363083,268651682,28917700,28917699,254801252,21805782,21805783,29103994,28917702,28917701,23140814,16880623,16880622,23140812,24991043,32666085,255218152,21922448,15837108,10974666,10974667,15837110,21922452,27108538,30495953,23082469,16829871,11768989,7857463,7857462,11768988,16829868,17653080,17653081,19023916,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749595,3012174,4986999,7857383,10851312,15674610,21718544,23081943,16829474,11768740,7857298,4986956,4986955,7857295,11768731,16829455,23081913,29532915,25445899,23081925,16829462,16829461,23081922,30495399,23997707,254228914,27058154,20164646,20164645,20166433,20166434,22128346,22128345,28127220,27054664,20161174,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545307,9958884,14474259,20173825,27068726,35154560,44530731 Dl.O(d2) = 35035545,26955636,20071533,14388303,14388302,20071532,26955635,35035544,44410067,55257608,67599274,81067399,93458548,107887463,95125609,81067397,67599271,55257607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656272, s2 = 8386581, dlinesl.size( ) = 12 s1 = 2438798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8112999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8335615, s2 = 8387883, int(edited[s2]) = 0 s1 = 8335615, s2 = 8387883, d1 = 0, d2 = 2 Dl.O(d1) = 35177632 Dl.O(d2) = 71911688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8215660, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9466448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2440171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9131058, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9470724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6601751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6601751, s2 = 11279958, int(edited[s2]) = 0 s1 = 6601751, s2 = 11279958, d1 = 41, d2 = 45 Dl.O(d1) = 256428446 Dl.O(d2) = 261205900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6601751, s2 = 11279958, dlinesl.size( ) = 8 s1 = 8328406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9208129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9208129, s2 = 9702291, int(edited[s2]) = 0 s1 = 9208129, s2 = 9702291, d1 = 39, d2 = 27 Dl.O(d1) = 3517953,3517952,5657167,7284469,10682745,10682744,12858830,12858829,254647045,5978975,9136781,13368787,18772816,255606002,15384637,12816138,12816140,13714414,11000082,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966187,12855613,10646256,10646255,13160262,254730230,6998790,4398419,267882177,10607301,15354308,18164104,12881829,8761412,8761414,8807580,5737379,3577027,2131845,2131844,3577022,5744615,4507139,2708390,2708395,2708589,2708586,2263114,2263117,2263213,2263214,3778388,6039679,8653775,12734928,17970158,24365916,31894084,40603064,50653120,62162137,67697212,55357238,55357239,55357242,67697213,81163056,84761003,259926441,126355240,112487606,98495894,84573031,84573030,98495892,100827660,86846440,73233400,60486483,60486484,73233403,86846442,86846441,269643428 Dl.O(d2) = 84760982,72860174,60123329,60123331,72860178,70765146,58046302,46671170,46671169,48746365,38826307,38826305,38947536,30361436,22960075,22960074,30361429,38947527,48867263,48878532,38959678,38959677,48878530,41222156,32407920,32407919,41232734,44563984,35185683,27096932,255817205,21212732,255727046,28419736,21197353,21197352,28419735,28489523,36986391,35015447,26933989,20047634,20047633,26933987,35015444,44391774,55240489,254963338,61444798,61444801,49966764,39949952,31274992,23789306,17458075,17458074,23789304,31274990,31471815,25334108,18754867,18754868,25334110,33063249,42007083,49966756,49966755,55240468,254442110,59095668,71835369,85422803,99365315,85422802,85422801,99365314,98174259,98174260,112136992,269515498,84278004,84278011,98174263,259051824,139326520,260889300,120289930,261991151,166550208,154845760,142209989,260666815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9208129, s2 = 9702291, dlinesl.size( ) = 8 s1 = 10347803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347803, s2 = 10185030, int(edited[s2]) = 0 s1 = 10347803, s2 = 10185030, d1 = 24, d2 = 22 Dl.O(d1) = 32168096,40947799,51091213 Dl.O(d2) = 256580271,258328381,269924286,52295388 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10165277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1736575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2095251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6801556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9250025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13467479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2097180, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13182505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13182505, s2 = 6601510, int(edited[s2]) = 0 s1 = 13182505, s2 = 6601510, d1 = 14, d2 = 12 Dl.O(d1) = 26336940,29142370,21834613,15765728,15765727,21834611,29142369 Dl.O(d2) = 256425060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13182505, s2 = 6601510, dlinesl.size( ) = 2 s1 = 13182505, s2 = 6601510, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13182505, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 7125876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1069090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1069090, s2 = 15116914, int(edited[s2]) = 0 s1 = 1069090, s2 = 15116914, d1 = 1, d2 = 1 Dl.O(d1) = 55796635,55796636,68223279,81747654,257312542,124168205,137812658,150761265,162821410,173799947,183557059,183557058,173799960,259789196,150761274,162821417,259789194,150761268,162821414,173799956,173575127,162543712,162543711,173575125,273295592,199299214,205531998,210687840,208041413,202263841,195392297,262945842,171548282,171548259,160346005,160346004,171548278,171548199,160345939,148103128,148103127,160345937,171548196,181546612,190324626,197904245,190324627,181546613,171548199,160345939,148103128,148103127,160345937,165317652,153523786,140844838,140844839,153523788,165317658,171548272,171548271,160345997,261481178,121173120,121173121,134981363,134981377,134981383,134981335,121173100,106906748,92588161,92588162,78540746,65250632,53261025,42807978,33775585,25965831,19299693,19299692,25965829,33775580,42807971,53261021,65250623,65250662,78540782,259077175,65250602,53261006,42807962,256163999,25965828,33775577,42807967,257831565,65250648,65250437,53260873,42807871,42807870,33775525,25965794,19299675,19299674,25965792,25965827,33775530,33775579,33775519,25965790,25965789,25965823,33775571,42807956,53260994,65250586,65250582,65250578,257239137,33775569,33775568,42807950,53260981,53260894,257831549,65250480,53260910,42807900,33775602,25965840,25965839,33775599,42807907,33775540,25965803,19299680,13798953,13798952,19299676,25965796,33775529,42807892,42807915,53260923,65250495,78540581,258740848,48267440,38356550,38356551,48267442,59654228,72388543,78540551,66895801,269435644,43895738,54638568,66895804,72388538,259388695,99941573,85983518,85983519,85983522,85983523,92588054,106050583,106050582,120256053,122930291,108665947,94378634,80323506,80323505,91848121,77923890,64732848,64732847,72388547,59654230,59654231,72388549,77020917,90900622,105080441,99941593,99941594,260185480,80323507,78540597,78540598,92588043,94378632,80323501,66895808,54638570,54638569,258504835,258654456,52820859,42419221,42419222,52820862,64736689,77927895,84112284,70576115,70576114,84112281,91852274,77927901,64736695,64736694,77927898,77927907,258380280,62525012,257420164,257807879,70576112,70576111,80323498,91852269,77927896,64736691,64736692,73317341,60574662,60574663,73317342,77927886,64736682,64736683,77927888,70576065,57875309,57875308,70576107,84112280,84112301,70576152,57875355,57875354,70576151,84112275,84112274,84112233,84112235,91852259,91852258,77927879,77927878,77927873,70576082,57875286,57875285,70576081,84112257,91852277,97986885,97986884,84112250,70576069,70576070,70576064,70576063,84112244,84112310,70576163,70576156,57875362,57875361,57875317,57875316,57875341,70576134,84112295,270277871,57875334,46519860,36652898,28177185,28177184,36652897,46519858,57875330,70576124,70576139,70576141,70576142,258016199,57875319,51751638,41481825,32603528,24940483,24940482,32603526,41481824,51751636,41481826,41481827,51751642,57875327,70576118,57875324,57875323,65346815,257242733,33837437,33837438,42880574,53344702,65346788,78649882,92712355,78649877,65346823,53344739,53344737,256221436,68223526,81747957,256746890,53544404,53544405,65569244,78904436,93014675,95814784,110037163,109814834,95611381,81577723,81577725,84112265,70576096,57875299,57875301,55796906,44868553,44868554,44868386,35430466,35430467,44868388,48302465,38392152,38392151,44782271,35358304,35358303,44782269,55689860,44868378,35430451,27298697,20360267,14614302,14614303,20360270,17765533,17765532,24128791,31635872,27298871,20360388,20360389,254976934,44868258,44868257,35430439,27298684,27298685,35430441,256746900,268140316,24226259,23593518,17281337,12160332,8190574,7679170,4859039,4859036,6586284,6586020,4126292,4126289,6586005,8117495,8117497,10001411,6572643,4117185,4117183,2462571,2462570,4117206,6572686,6415680,6415682,9757286,14193523,16732590,11689913,7796175,7796174,11689906,16732573,14923863,14923862,20821648,22730640,20886655,20886654,254711704,11241349,7461391,7461392,11241352,16173933,22318953,19101916,13638122,13638119,14603190,14611195,20355139,20339765,14597709,11339273,11339275,7535423,4766725,2873427,1667673,948618,534806,534807,948576,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524659,12385020,8369029,8369030,10047417,10047539,10047574,11517213,11516145,11516144,10274865,8585318,8585319,9443445,13774400,18830285,17854538,12644305,8585292,8585290,12644295,17854520,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595219,21625964,23900416,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946147,3308088,5312578,6601941,6601940,4699096,4699097,7436624,11207823,12208714,14940414,14940413,14940526,10276323,10276322,14941412,20840860,28005359,23593519,255996921,14573590,10028241,6590649,4128988,4128987,6590648,10028239,14573586,20307559,27237389,35360061,44783795,35360052,35360051,44783792,55691120,68089001,77383712,64233390,52377978,52377979,64233388,64233387,52377980,42034468,33086993,25354370,18772155,18772153,25354367,25354373,18772158,18772159,25354375,33087003,42034480,52377995,64233382,55683334,55683333,52377990,42034476,38045133,38045134,35350315,27227249,20298369,20298368,27227247,35350310,44774979,47958268,38045130,38045129,38045124,29481944,29481943,38045128,47958266,59349068,68081852,81571830,257771420,85668621,85668622,95605826,85668625,81571834,81571833,95605829,109809042,260391592,109809049,95605834,85503462,71917970,71917971,85503460,78456261,78456262,92493862,95605835,81571846,68081864,55683338,44774984,35350313,35350312,44774982,269634350,257901002,100555640,86593930,86593929,86593926,257182252,63068199,72996134,72996131,60260426,48867395,38947646,30361553,30361554,38947648,48867398,60260430,72996136,63068098,63068099,58198727,58198728,51380055,41189894,257145915,32371565,24753158,24753157,32371562,41189896,41189904,41189903,51379935,51380063,41189890,32371570,24753161,24753162,32371572,32371568,24753160,18278379,12973054,12973055,12973058,18278382,12973057,8830506,5754054,5754055,5754051,5754050,8830499,12973048,18278376,18278364,12973037,12973033,12973032,12973045,12973046,18278372,24753153,32371556,32371546,24753145,18278363,255624495,32371545,32371551,24753149,18278367,12973041,12973042,8830496,8830497,5754057,3583104,2135314,1232249,697556,697557,1232251,254290645,5754044,3583098,3583097,5754042,8830483,12973029,18278359,18278312,18278313,24753085,32371449,24753076,18278337,12973015,8830508,8830507,12973031,18278361,24753081,24753080,18278400,18278401,24753092,255227935,5754030,3583089,2135304,1232243,1232244,2135306,3583093,5754037,8830478,12973022,18278353,24753119,18278339,18278340,24753120,24753102,18278327,12973007,8830468,5754032,3583090,3583091,5754033,8830471,12973012,18278325,24753098,32371506,41189841,41189915,32371580,24753174,18278397,18278398,24753175,32371581,32371458,24753057,24753056,32371457,41189779,51379938,41189788,32371463,32371464,256558300,32371460,24753058,24753059,32371462,257145907,63068114,63068148,63068139,63068112,51379949,41189809,41189810,51379972,51379974,63068134,76063018,76063021,63068138,51379976,51379975,63068136,54653305,43910612,34637479,34637478,43910610,54653302,66910285,63068143,51379981,51379980,63068130,63068131,269415846,51379999,51379998,54653310,268451944,76063034,89856703,258300712,51907552,51907551,42889320,42889321,257836103,78659981,84688911,84688910,98613509,84688928,76815443,63714438,58406765,256862095,28631406,21392557,21392558,28631407,37145359,47034327,58406767,71124586,84688923,98613514,107061671,107061672,98613517,84865139,71290843,58558883,47169976,47169977,257665906,71124591,71290836,58558878,58558877,71290834,84865106,71290812,71290811,58777057,58777058,71506390,84865142,98793364,84865111,71290818,58558868,47169968,37263967,268921561,71290820,84865113,71506364,58777037,58777038,58777011,47389859,37482242,28940217,28940218,37482244,47389862,58777015,71506331,85078363,71506346,71506345,84865124,71290829,71290830,84865127,98793375,112785644,99003868,85078396,71506358,71506357,71506371,71506370,85078404,99003870,85078398,71506359,58777034,47389872,37482251,28940221,21661309,21661308,28940219,37482246,47389864,58777019,71506334,60493945,49090598,49090597,60493943,73240869,86853694,99003864,86853715,86853688,85078421,85078390,85078389,258700669,58777017,71506332,259326907,73240871,73240870,86853696,85078410,85078411,99003879,112993171,112993159,99003853,85078378,85078379,86853690,100834535,114884881,112993157,99003847,259945915,112785601,112785602,126643596,112993154,112993155,126846897,126643598,112785603,112785604,112993169,100834540,86853699,86853698,99786414,99786413,113800240,127668228,260533674,112993163,260546343,100834548,86853708,86853707,85078430,85078431,99003894,100834555,86853712,86853711,100834553,112993165,114884893,114884874,114884875,128780797,126643602,112785613,98793326,84865059,258061657,58558824,71290777,84865066 Dl.O(d2) = 55796635,55796636,68223279,81747654,257312542,124168205,137812658,150761265,162821410,173799947,183557059,183557058,173799960,259789196,150761274,162821417,259789194,150761268,162821414,173799956,173575127,162543712,162543711,173575125,273295592,199299214,205531998,210687840,208041413,202263841,195392297,262945842,171548282,171548259,160346005,160346004,171548278,171548199,160345939,148103128,148103127,160345937,171548196,181546612,190324626,197904245,190324627,181546613,171548199,160345939,148103128,148103127,160345937,165317652,153523786,140844838,140844839,153523788,165317658,171548272,171548271,160345997,261481178,121173120,121173121,134981363,134981377,134981383,134981335,121173100,106906748,92588161,92588162,78540746,65250632,53261025,42807978,33775585,25965831,19299693,19299692,25965829,33775580,42807971,53261021,65250623,65250662,78540782,259077175,65250602,53261006,42807962,256163999,25965828,33775577,42807967,257831565,65250648,65250437,53260873,42807871,42807870,33775525,25965794,19299675,19299674,25965792,25965827,33775530,33775579,33775519,25965790,25965789,25965823,33775571,42807956,53260994,65250586,65250582,65250578,257239137,33775569,33775568,42807950,53260981,53260894,257831549,65250480,53260910,42807900,33775602,25965840,25965839,33775599,42807907,33775540,25965803,19299680,13798953,13798952,19299676,25965796,33775529,42807892,42807915,53260923,65250495,78540581,258740848,48267440,38356550,38356551,48267442,59654228,72388543,78540551,66895801,269435644,43895738,54638568,66895804,72388538,259388695,99941573,85983518,85983519,85983522,85983523,92588054,106050583,106050582,120256053,122930291,108665947,94378634,80323506,80323505,91848121,77923890,64732848,64732847,72388547,59654230,59654231,72388549,77020917,90900622,105080441,99941593,99941594,260185480,80323507,78540597,78540598,92588043,94378632,80323501,66895808,54638570,54638569,258504835,258654456,52820859,42419221,42419222,52820862,64736689,77927895,84112284,70576115,70576114,84112281,91852274,77927901,64736695,64736694,77927898,77927907,258380280,62525012,257420164,257807879,70576112,70576111,80323498,91852269,77927896,64736691,64736692,73317341,60574662,60574663,73317342,77927886,64736682,64736683,77927888,70576065,57875309,57875308,70576107,84112280,84112301,70576152,57875355,57875354,70576151,84112275,84112274,84112233,84112235,91852259,91852258,77927879,77927878,77927873,70576082,57875286,57875285,70576081,84112257,91852277,97986885,97986884,84112250,70576069,70576070,70576064,70576063,84112244,84112310,70576163,70576156,57875362,57875361,57875317,57875316,57875341,70576134,84112295,270277871,57875334,46519860,36652898,28177185,28177184,36652897,46519858,57875330,70576124,70576139,70576141,70576142,258016199,57875319,51751638,41481825,32603528,24940483,24940482,32603526,41481824,51751636,41481826,41481827,51751642,57875327,70576118,57875324,57875323,65346815,257242733,33837437,33837438,42880574,53344702,65346788,78649882,92712355,78649877,65346823,53344739,53344737,256221436,68223526,81747957,256746890,53544404,53544405,65569244,78904436,93014675,95814784,110037163,109814834,95611381,81577723,81577725,84112265,70576096,57875299,57875301,55796906,44868553,44868554,44868386,35430466,35430467,44868388,48302465,38392152,38392151,44782271,35358304,35358303,44782269,55689860,44868378,35430451,27298697,20360267,14614302,14614303,20360270,17765533,17765532,24128791,31635872,27298871,20360388,20360389,254976934,44868258,44868257,35430439,27298684,27298685,35430441,256746900,268140316,24226259,23593518,17281337,12160332,8190574,7679170,4859039,4859036,6586284,6586020,4126292,4126289,6586005,8117495,8117497,10001411,6572643,4117185,4117183,2462571,2462570,4117206,6572686,6415680,6415682,9757286,14193523,16732590,11689913,7796175,7796174,11689906,16732573,14923863,14923862,20821648,22730640,20886655,20886654,254711704,11241349,7461391,7461392,11241352,16173933,22318953,19101916,13638122,13638119,14603190,14611195,20355139,20339765,14597709,11339273,11339275,7535423,4766725,2873427,1667673,948618,534806,534807,948576,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524659,12385020,8369029,8369030,10047417,10047539,10047574,11517213,11516145,11516144,10274865,8585318,8585319,9443445,13774400,18830285,17854538,12644305,8585292,8585290,12644295,17854520,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595219,21625964,23900416,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946147,3308088,5312578,6601941,6601940,4699096,4699097,7436624,11207823,12208714,14940414,14940413,14940526,10276323,10276322,14941412,20840860,28005359,23593519,255996921,14573590,10028241,6590649,4128988,4128987,6590648,10028239,14573586,20307559,27237389,35360061,44783795,35360052,35360051,44783792,55691120,68089001,77383712,64233390,52377978,52377979,64233388,64233387,52377980,42034468,33086993,25354370,18772155,18772153,25354367,25354373,18772158,18772159,25354375,33087003,42034480,52377995,64233382,55683334,55683333,52377990,42034476,38045133,38045134,35350315,27227249,20298369,20298368,27227247,35350310,44774979,47958268,38045130,38045129,38045124,29481944,29481943,38045128,47958266,59349068,68081852,81571830,257771420,85668621,85668622,95605826,85668625,81571834,81571833,95605829,109809042,260391592,109809049,95605834,85503462,71917970,71917971,85503460,78456261,78456262,92493862,95605835,81571846,68081864,55683338,44774984,35350313,35350312,44774982,269634350,257901002,100555640,86593930,86593929,86593926,257182252,63068199,72996134,72996131,60260426,48867395,38947646,30361553,30361554,38947648,48867398,60260430,72996136,63068098,63068099,58198727,58198728,51380055,41189894,257145915,32371565,24753158,24753157,32371562,41189896,41189904,41189903,51379935,51380063,41189890,32371570,24753161,24753162,32371572,32371568,24753160,18278379,12973054,12973055,12973058,18278382,12973057,8830506,5754054,5754055,5754051,5754050,8830499,12973048,18278376,18278364,12973037,12973033,12973032,12973045,12973046,18278372,24753153,32371556,32371546,24753145,18278363,255624495,32371545,32371551,24753149,18278367,12973041,12973042,8830496,8830497,5754057,3583104,2135314,1232249,697556,697557,1232251,254290645,5754044,3583098,3583097,5754042,8830483,12973029,18278359,18278312,18278313,24753085,32371449,24753076,18278337,12973015,8830508,8830507,12973031,18278361,24753081,24753080,18278400,18278401,24753092,255227935,5754030,3583089,2135304,1232243,1232244,2135306,3583093,5754037,8830478,12973022,18278353,24753119,18278339,18278340,24753120,24753102,18278327,12973007,8830468,5754032,3583090,3583091,5754033,8830471,12973012,18278325,24753098,32371506,41189841,41189915,32371580,24753174,18278397,18278398,24753175,32371581,32371458,24753057,24753056,32371457,41189779,51379938,41189788,32371463,32371464,256558300,32371460,24753058,24753059,32371462,257145907,63068114,63068148,63068139,63068112,51379949,41189809,41189810,51379972,51379974,63068134,76063018,76063021,63068138,51379976,51379975,63068136,54653305,43910612,34637479,34637478,43910610,54653302,66910285,63068143,51379981,51379980,63068130,63068131,269415846,51379999,51379998,54653310,268451944,76063034,89856703,258300712,51907552,51907551,42889320,42889321,257836103,78659981,84688911,84688910,98613509,84688928,76815443,63714438,58406765,256862095,28631406,21392557,21392558,28631407,37145359,47034327,58406767,71124586,84688923,98613514,107061671,107061672,98613517,84865139,71290843,58558883,47169976,47169977,257665906,71124591,71290836,58558878,58558877,71290834,84865106,71290812,71290811,58777057,58777058,71506390,84865142,98793364,84865111,71290818,58558868,47169968,37263967,268921561,71290820,84865113,71506364,58777037,58777038,58777011,47389859,37482242,28940217,28940218,37482244,47389862,58777015,71506331,85078363,71506346,71506345,84865124,71290829,71290830,84865127,98793375,112785644,99003868,85078396,71506358,71506357,71506371,71506370,85078404,99003870,85078398,71506359,58777034,47389872,37482251,28940221,21661309,21661308,28940219,37482246,47389864,58777019,71506334,60493945,49090598,49090597,60493943,73240869,86853694,99003864,86853715,86853688,85078421,85078390,85078389,258700669,58777017,71506332,259326907,73240871,73240870,86853696,85078410,85078411,99003879,112993171,112993159,99003853,85078378,85078379,86853690,100834535,114884881,112993157,99003847,259945915,112785601,112785602,126643596,112993154,112993155,126846897,126643598,112785603,112785604,112993169,100834540,86853699,86853698,99786414,99786413,113800240,127668228,260533674,112993163,260546343,100834548,86853708,86853707,85078430,85078431,99003894,100834555,86853712,86853711,100834553,112993165,114884893,114884874,114884875,128780797,126643602,112785613,98793326,84865059,258061657,58558824,71290777,84865066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1069090, s2 = 15116914, dlinesl.size( ) = 2 s1 = 1069090, s2 = 15116914, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1069090, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 10355742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355742, s2 = 2098848, int(edited[s2]) = 0 s1 = 10355742, s2 = 2098848, d1 = 19, d2 = 5 Dl.O(d1) = 264642138,171249354,261465640,123976076,259061734,81599588,68110771,55714357 Dl.O(d2) = 55714358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156947, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1742542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347100, s2 = 8045746, int(edited[s2]) = 0 s1 = 10347100, s2 = 8045746, d1 = 30, d2 = 6 Dl.O(d1) = 260358360,86250800,72649656,72649657,259911516,30692991,30692990,39290247,49216867,60617618,60617565,60617564,73362446,256927514,49216811,39290205,30692953,268221890,38888933,48811415,58049363,58049364,47658702,37736848,29176004,29176003,256903059,258805496,37832446,37832445,37716413,29155751,21847017,21847016,268921528,58596992,65211350,255840786,37471778,256162099,25934942,33742144,35411645,44836876,53223527,42772766,257236977,55744731 Dl.O(d2) = 53724436,43212563,43212519,34125047,34125048,43212515,47012249,47012248,53724597,46273795,46273720,46273719,47378870,46273833,46273834,53724493,43212614,34125140,26259461,19540334,19540333,26259387,26259386,26259521,26259520,34125216,43212703,53724587,57618580,46274132,257382797,46273807,256101114,20800814,14907187,14907188,20800817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347100, s2 = 8045746, dlinesl.size( ) = 20 s1 = 2157315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2157315, s2 = 9818984, int(edited[s2]) = 0 s1 = 2157315, s2 = 9818984, d1 = 55, d2 = 57 Dl.O(d1) = 76122858,63117467,257487240,32399602,24776071,24776072,32399604,41223510,51420510,52927437,42516885,33516923,25737390,19104378,13640109,9340422,6118134,3827953,3827952,6118133,9340419,13640103,19104370,25737381,33516913,42516874,269518323,58636155,58636156,259488355,271852013,194976139,273291184,95850979,259775064,55830933,258559195,68881789,56370843,45314173,45314172,56370841,68881787,76908012,63799787,51984099,41674069,41674068,51984098,63799786,68881795,56370849,45314176,45314175,56370847,56339693,45290369,35732493,27505764,27505762,35732487,257349535,258575475,75835009,81518418,81518416,83038866,259221385,82688782,69160881,56607605,56607606,270208217,259835307,261026841,151042835,138215264,260441717,96663203,259835305,261026839,111306517,271164014,258519274,14839280,10205423,6706063,6706062,10125439,6648873,6648871,6612162,6612163,4182544,2500978,1443015,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439409,1439406,2492966,4170431,6634315,10102876,14689321,20470576,27457589,35657710,45182833,56201453 Dl.O(d2) = 254994481,268368237,36349994,46169783,57476439,70139490,83664326,82893461,69372227,69372226,82893459,259839741,110070429,109757191,257892496,75723411,62774715,51138890,51138888,62774713,258493712,257278302,82266402,95560009,81528374,68042161,68042158,81528364,83598243,82757730,82757728,93177389,107581956,256730370,256063682,97462147,109611434,95361087,95361086,109611432,123797632,271154610,162689660,150586434,272099865,259769694,105665292,91441457,91441456,89400656,258511910,81754273,68229492,55802109,55802110,68229493,81344211,81344210,95392999,260413393,137529329,261542444,271264557,69805203,69805202,259096849,269563443,43148773,43148774,53654702,65706679,257335919,27301553,27301554,35434146,44872830,55614096,44717492,35299313,35299310,44717470,46073904,57354173,65068570,53647515,43159098,34075413,26214782,19501333,19501330,26214755,26214753,26214809,27674954,26208278,25066907,18525938,13162695,8971855,8971852,13162683,18526087,20454145,27417900,27422280,27418932,27418935,20443674,20443676,20443716,14670263,14670268,20443738,27419839,35604219,44067605,44067602,45683020,44067525,44067522,54868031,56696981,69261919,82786014,96747130,98721593,95830422,81764389,81764388,95830420,110051930,124181487,137824680,261485266,272033024,130914329,124386814,110317757,96153807,96153808,96839443,258589519,256787369,35968486,257966641,82896398,96839445,260445373,138292861,272033142,83459722,69919759,271269031,110491151,110491150,124522548,138070227,150942844,162949817,173893155,263417460,163224854,272441626,111360610,259748052,69919764,57273383,46006909,36231015,27833326,20714108,14849663,268192633,27833337,36231039,45556340,45556339,56087357,56087358,68555682,82080524,259821557,124363768,111041731,97015627,83084227,69557378,56955395,257300090,256257313,27653275,20595444,255772649,35963574,45628865,56788298,46006942,46006943,57273427,69260379,56695627,45556344,45556343,46006946,57273431,258595187,97015624,111041726,124956156,138387890,125163832,111284799,97279284,97279285,111284803,125163837,260445167,96829511,82885366,257966307,45628879,35963593,35963594,257360329,69364487,82885368,83462959,259233257,270707415,257949399,45188680,35662938,35662939,45188682,257949401,259200073,261021201,150900896,138552359,261592139,261529114,123850075,261566833,162674459,260249402,260249404,260413533,82333622,82333624,95503348,95503347,260383968,259837725,82794399,269706527,35918929,268868225,45875907,45875906,257976665,65722788,53667163,257850309,79077874,93193228,107594372,121964798,135878297,121950715,107574446,93167530,79048728,65694789,53644638,43141448,43141449,53644633,53667443,65723132,79078261,93193570,83693547,82885363,82885364,82805506,257964421,45573724,35926250,35926249,257358761,69282667,82805504,96763359,259828433,82358572,68834174,56329878,45282728,35727042,27502103,20498372,14706528,14706527,20498370,27502100,35727036,45282724,56329873,68834172,68274945,68274944,257358759,256778981,35727040,45040665,56016024,68473465,81998045,96041081,110226834,271849380,110368111,96210215,96210214,110153799,110153800,124260390,137882044,262104365,262568406,124808478,262110659,162678233,261567051,123872708,109720985,95504435,81465096,67983767,67983766,81465094,95504433,109720983,109643312,95404473,81357582,67889682,55535608,44670558,35274040,27168143,27168142,35274037,257326127,62905948,62905949,270161569,81455284,81455285,95496829,109716072,123869821,109716082,95496849,258566951,56087338,67961567,55586269,55586268,45094828,257944935,67978790,77542624,81461586,67980270,67980271,81461592,95501783,83499141,69962319,57313381,46039489,46039488,46039497,46039498,57313397,56246383,56246382,68739281,82266393,82524352,83634341,83634342,97516109,271606839,93164854,93164855,96162898,258568565,56133247,45130063,257343773,258568563,259822857,124392986,137975510,150875013,162899388,163224852,151321574,138591926,125220675,125220676,261585793,261585795,163060257,151098960,151098959,138591933,125220681,111360607,97373607,83459725,259233123,111360606,125220679,262063226,124779390,259751742,96753782,110819798,124779388,138257245,262110367,173958176,173958174,262568310,110819796,259776058,258518632,45563778,55962567,68410370,270130010,82794258,69270729,56704939,45563777,35918814,27625862,20579127,14761590,14761591,20579130,27625866,256785633,269706515,82794265,259837719,124779391,138257249,272799325,263047739,192182386,199510549,205713037,210843913,264934001,221368245,274172717,273964029,199460746,192119241,183591972,173848729,262792864,137955624,261946441,260841043,259628113,76908953,90785312,81934663,81934662,95982582,110176605,124277667,261577209,162863638,173830325,183579165,191197399,182509133,172574954,161393672,149107252,260369570,93193225,258518284,69734534,259838043,116642671,102541884,88534239,259549541,116642674,130483086,143808687,156331961,150942840,138070225,260436339,96362506,96362507,110491146,269783356,124199141,137837076,259310156,109644953,95406963,81360597,257925861,55537613,44671879,35274750,35274751,44670047,55534758,55547039,257926059,258336487,51233162,41067228,41067229,258336489,259310192,260455821,260096052,258856692,97277833,111283936,125163402,271849378,162678230,261567049,137564598,273291208,270227713,36037432,27701734,20627250,14792608,10174197,6686537,6686539,6651027,6651025,6611721,6611722,4182513,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1442998,2499415,1442356,1442353,2499404,4180708,6674762,10159986,14772986,20597587,27656355,35968393,35968392,45635998,258589509,260445369,261585789,163060258,173972117,183685478,273305613,151053283,163025671,262103741,137842332,124206583,260426986,68285936,68285937,81810998,95871786,259571694,259589519,260802027,144960295,262441136,125206070,260237600,69896530,257752532,257372055,258604893,261016187,259777644,68321602,68321601,259149698,50365381,50364653,40337640,31648772,31648767,40337683,35902541,35902537,45354015,35959042,27650570,27650573,27792738,27792734,35696441,35696439,35864676,27588467,27588466,27598903,27598905,35880110,36267509,36131394,27766690,20671407,20671403,14822509,14822506,20671559,27466973,27466967,35669463,45196754,257374425,258607675,97424657,262104559,110172839,270693599,257941391,81928706,257877890,67963306,55587431,55587432,55587404,55587403,55592025,44703744,35291716,27177071,20256888,14534534,10000586,6572246,6572244,10000579,14534517,20256852,27176996,35291575,44703492,55591574,67969681,81450112,68518459,68518458,56269689,45237596,45237597,45270998,35719390,27497460,27497456,35719421,45271232,35987915,27668364,27640199,20587956,20587958,27640171,27306192,20365499,20365495,20481856,14696089,14696088,10216474,6712895,6712893,6713941,6713737,6713736,4206612,4206616,6713792,10217916,14858331,20726772,27852000,36258236,257373755,68665587,257345221,27446930,255347481,255347479,256246855,257345219,260094684,36068539,27723536,20642467,14803189,10181172,6690797,6623302,6623301,6679606,6612151,6612149,4182544,2500978,1443015,1443011,2500773,1442960,1442956,2498108,2498107,254478239,254991763,20592094,27647508,35953965,257965815,256790983,27717299,27717300,36060099,256713316,261028399,270693599,257941391,81928707,259818243,123891914,109747141,95538896,271181557,111245836,111245833,97236769,97236770,96779525,85385244,71796803,59055947,47655385,47655386,59055950,59055935,59055937,71796775,64490989,56315014,45271401,45271399,56314532,56314531,56314626,45271231,45271232,35987915,27668364,27640199,20587956,20587958,27640171,27306192,20365499,14617567,10057526,6608173,6608175,10057452,6725123,4215650,4215646,6727287,4214849,2520021,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536020,35782389,35854781,35854779,45211758,258572497,258986592,270738677,69379806,259839945,124831452,272532866,271940137,257867922,45220851,35686568,27477895,27477894,27325011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6893658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6737711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6737711, s2 = 7838373, int(edited[s2]) = 0 s1 = 6737711, s2 = 7838373, d1 = 0, d2 = 0 Dl.O(d1) = 120910293,270333784,82586680,257897336,45420020,256208364,14730027,10129263,254467592,2489432,1444451,819371,463213,463217,819389,1444873,2504900,1447412,1447407,2509934,4196257,6696186,10190012,14816789,20652912,20652914,27740022,36093845,32202919,32202918,40983693,51126755,62759091,75706671,89471635,82709467,257278952,110761632,110235941,96052130,82010477,68486100,56027120,45049108,35562712,27392367,20425455,20425454,20644349,14804333,10181807,6691156,6691153,10181795,14804315,20446714,14672918,10093131,10093133,14674123,10092759,6628214,6628213,10092825,14674555,20434441,27406188,27406191,20591234,14768984,14768987,20591205,20618878,20618880,26213526,19500585,13957493,9583211,9583207,13957478,19500003,19499394,19497654,19497651,25066907,18525564,13162485,8971769,8971772,13162499,18525601,25066999,32763069,35615955,35615956,45125828,45849314,36118742,27757392,27757390,35615321,35615322,45124801,56126632,68601849,82127038,96155232,110318885,110905387,110905389,109624658,109624656,259060180,124607258,110604843,96502378,96502376,82609777,69081921,56539624,45436691,35828388,35828387,45436687,56539610,69081886,82609708,96590987,85734358,72146229,59413429,48024914,38114271,29550770,29550771,38114275,43946944,38114137,38114136,38113261,38113258,38114577,38114574,48025524,59414560,54689692,43946844,34672428,34672426,43946842,54689684,45237693,35698104,27485171,20488102,20488101,27485165,35698095,45237675,56269831,68765983,82292100,259827095,97180094,259688838,124269430,125086518,124128595,124128596,111193185,110663500,96565454,82581812,82581814 Dl.O(d2) = 120910293,270333784,82586680,257897336,45420020,256208364,14730027,10129263,254467592,2489432,1444451,819371,463213,463217,819389,1444873,2504900,1447412,1447407,2509934,4196257,6696186,10190012,14816789,20652912,20652914,27740022,36093845,32202919,32202918,40983693,51126755,62759091,75706671,89471635,82709467,257278952,110761632,110235941,96052130,82010477,68486100,56027120,45049108,35562712,27392367,20425455,20425454,20644349,14804333,10181807,6691156,6691153,10181795,14804315,20446714,14672918,10093131,10093133,14674123,10092759,6628214,6628213,10092825,14674555,20434441,27406188,27406191,20591234,14768984,14768987,20591205,20618878,20618880,26213526,19500585,13957493,9583211,9583207,13957478,19500003,19499394,19497654,19497651,25066907,18525564,13162485,8971769,8971772,13162499,18525601,25066999,32763069,35615955,35615956,45125828,45849314,36118742,27757392,27757390,35615321,35615322,45124801,56126632,68601849,82127038,96155232,110318885,110905387,110905389,109624658,109624656,259060180,124607258,110604843,96502378,96502376,82609777,69081921,56539624,45436691,35828388,35828387,45436687,56539610,69081886,82609708,96590987,85734358,72146229,59413429,48024914,38114271,29550770,29550771,38114275,43946944,38114137,38114136,38113261,38113258,38114577,38114574,48025524,59414560,54689692,43946844,34672428,34672426,43946842,54689684,45237693,35698104,27485171,20488102,20488101,27485165,35698095,45237675,56269831,68765983,82292100,259827095,97180094,259688838,124269430,125086518,124128595,124128596,111193185,110663500,96565454,82581812,82581814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6737711, s2 = 7838373, dlinesl.size( ) = 2 s1 = 6737711, s2 = 7838373, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6737711, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6791622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7885647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345863, s2 = 9040359, int(edited[s2]) = 0 s1 = 10345863, s2 = 9040359, d1 = 20, d2 = 22 Dl.O(d1) = 254553327,4944052,7796658,255125721,12440754,12299499,9901793,6508184,4078348,2440184,1410821,802512,802513,1410823,2440187,4078353,2872062,1666876,1666880,2872071,1667000,948207,534557,299714,166009,166008,299710,534549,948190,1666973,1666864,1666862,2872034,2936765,4873611,4538313,4538314,7203494,7202580,7202582,7998752,11949188,12286923,9899440,254973591,6499821,4072843,2437060,1409211,801714,801716,1409216,2437074,4072869,6499872,9891629,9881178,9881177,11569990,7701197,7701176,7701181,10887516,10887515,10881094,7194085,4532179,4532177,7193307,8174365,5243903,5243904,7194039,4532157,2724306,1578651,1578650,2724301,4532142,4519776,4519779,2728425,2728423,3003126,3003124,254555165,4059947,267870657,5364034,3297555,1939418,1939419,3297560,5364041,8313101,255064104,256215899,44409709,257906221,56247365,259967966,17039529,17039531,23299609,30716799,39315119,31634211,31634213,40323128,49021602,39092298,39092299,255673742,268430302,255154940,257039432,258228690,259476382,260690954,163008219,263454857,174088591,163218992,151314232,138581788,260691728,97354278,83439655,69900313,57256316 Dl.O(d2) = 272454752,273070523,183653075,192165619,199497524,205441711,210609057,214831711,218307586,221228775,223730479,223871378,221391256,218498656,215059252,210880701,205765085,199577694,192265581,263427558,205765087,264417090,218498663,274253088,225158723,274300551,264673402,196047417,188148457,179084503,262556746,272443346,117882631,103731899,89620620,89620619,97424871,83522829,83522828,258488202,56355255,68862866,270461437,97405316,83497374,259854961,96977502,270227083,45725589,45725590,45726410,36030838,36030839,45726413,56916554,69514382,83042406,81433271,68727836,258572505,83713285,70191444,57524257,57524258,70191446,259852173,83369812,69828856,57191545,45941704,36184851,36184852,45941706,57191547,69828861,83369814,97293718,111295225,260265180,260288799,261450593,150804786,150804785,162853136,173823515,183574987,192107616,192033883,183482809,173701743,273050858,123897026,109755616,95551045,81518434,81518433,95551042,260982578,93191204,93191206,107592963,97376789,97376790,111362719,109642515,95403219,81355919,81355920,270612058,110066130,95929240,95929241,110134079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345863, s2 = 9040359, dlinesl.size( ) = 2 s1 = 10345863, s2 = 9040359, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10345863, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 14163850, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7612054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7612054, s2 = 7824579, int(edited[s2]) = 0 s1 = 7612054, s2 = 7824579, d1 = 23, d2 = 1 Dl.O(d1) = 269350593 Dl.O(d2) = 1443012,2501008,1443140,1443136,2493294,1439536,1439532,2493323,4152582,4152580,6632548,255767515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7612054, s2 = 7824579, dlinesl.size( ) = 30 s1 = 13493659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1745284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596949, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1746207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6687410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346913, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1746486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1746486, s2 = 13676594, int(edited[s2]) = 0 s1 = 1746486, s2 = 13676594, d1 = 4, d2 = 10 Dl.O(d1) = 46285923 Dl.O(d2) = 257643722,72419049,72419048,86015180,99974433,113997993,127876398,260114208,260711052,141235946,260114212,127876410,113998003,99974438,86015183,72419050,59684421,48298091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1746486, s2 = 13676594, dlinesl.size( ) = 2 s1 = 1746486, s2 = 13676594, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1746486, Dl.E( ) = 20, 2.48e-05 seconds used appending s1 = 7643724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7643724, s2 = 7886188, int(edited[s2]) = 0 s1 = 7643724, s2 = 7886188, d1 = 15, d2 = 28 Dl.O(d1) = 270787950 Dl.O(d2) = 254996057,268061903,20811246,15705578,15705577,14927494,14927493,18690916,18690917,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226348,6744908,10264683,14927452,20825768,27990250,36448909,28132255,27220831,27220830,35344338,27220829,27220828,20953834,20953833,16522776,16522775,17198550,22771373,27220304,28904075,21629768,15598727,15598728,20984336,24677650,20355048,14611141,10053850,10053848,254439534,20860232,254322262,13297139,9079028,5937726,3712754,254439533,9079027,13297138,10053310,10053309,14610373,20354194,22367381,16213211,11270504,11270506,16213220,14427996,9924705,9924706,10376347,6837273,4290036,4290035,254483580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13506525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13506525, s2 = 8171625, int(edited[s2]) = 0 s1 = 13506525, s2 = 8171625, d1 = 30, d2 = 21 Dl.O(d1) = 57634277,46289756,36436774,257384043,256268841,20814531,20814530,27978144,36436855,36436856,46289853,57634367,46289858,46289857,57634169,57634170,70324918,270788007,97710032,83850689,70325031,70324933,70324934,70324957,57634215,57634213,57634273,257384068,70324939,259245111,269293193,46289781,57634295,57634369,46289855,46289671,46289670,57634186,70324931,258618679,46289666,36436717,27978015,20814434,270270941,259245115,257994637,46289681 Dl.O(d2) = 70325035,257384053,46289780,57634295,259245117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13506525, s2 = 8171625, dlinesl.size( ) = 14 s1 = 1747171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6687520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6687520, s2 = 8284153, int(edited[s2]) = 0 s1 = 6687520, s2 = 8284153, d1 = 100, d2 = 122 Dl.O(d1) = 257384817,36445080,36445081,46298497 Dl.O(d2) = 269356472 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2105421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2105421, s2 = 13501464, int(edited[s2]) = 0 s1 = 2105421, s2 = 13501464, d1 = 0, d2 = 2 Dl.O(d1) = 57643333 Dl.O(d2) = 257114500,53724560,43212669,34125179,34125178,43212667,53724555,65781120,79135780,93251076,84259842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2105421, s2 = 13501464, dlinesl.size( ) = 2 s1 = 2105421, s2 = 13501464, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2105421, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1747903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2106823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1748968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1748968, s2 = 14056448, int(edited[s2]) = 0 s1 = 1748968, s2 = 14056448, d1 = 40, d2 = 29 Dl.O(d1) = 46319212,46319204,36466391,36466392,46319206,57663383 Dl.O(d2) = 10272945,13920352,19452127,26150515,33991997,28714184,26150523,26150522,28112159,26150519,26150518,33992003,43051276,268413846,26150521,28714183,21458554,21458553,28714181,37245203,43051286,36584654,28112160,20935400,15027315,15027316,10688666,7061117,7061116,10688664,268208347,26150523,19452131,13920354,9554493,6269319,6269318,9554492,10309326,10272947,6751147,6751146,10272945,13920352,19452127,26150515,33991997,255936380,41934129,32993404,32993403,36523133,28057806,20887974,14984886,10316691,10316692,14984888,18680315,18664379,13304398,9086025,9086026,13304400,10309323,10309325,10272947,6751147,6751146,10272945,13920352,19452126,26150513,33991994,43051273,269556215,57656037,57656040,70346512,83871752,97730626,111651429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1748968, s2 = 14056448, dlinesl.size( ) = 34 s1 = 8111631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8332526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8332526, s2 = 11147370, int(edited[s2]) = 0 s1 = 8332526, s2 = 11147370, d1 = 59, d2 = 86 Dl.O(d1) = 138841283,125508925,271284821,70395956 Dl.O(d2) = 258120826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8332526, s2 = 11147370, dlinesl.size( ) = 84 s1 = 10346217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346217, s2 = 14866864, int(edited[s2]) = 0 s1 = 10346217, s2 = 14866864, d1 = 32, d2 = 35 Dl.O(d1) = 140990654,262232643,165437962,262737354,155594546,155594545,167226172,177723752,187003537,185181072,175646261,164890637,153053781,140356796,127003158,259956769,85233506,71668598,257478669,29108241,21809439,21809438,25410772,33151404,42105312,52457402,52457366,52457306,52457293,52457292,61537074,58947026,47564191,47564190,58947025,61537055,50058616,50058617,61537057,61497165,50018853,50018854,61497167,61890783,70405137,70405138,83931412,77488085,64324248,64324249,77488087,74313857,61537066,50058625,40039182,31359183,23865216,17520958,17520959,23865218,31359189,40039189,40000431,31322644,23832209,23832208,31322642,40000427,50018851,50058628,61537068,64324251,64324252,70405120,57711032,52457328,42105243,41234685,256084333,24784887,32409740,41234687,50018891,61497190,256406832,31322695,23832249,23832250,256520101,46942690,46942689,57711063,46361783,36503662,28040260,28040261,31322701,31322677,23832238,17493642,12334526,8332654,8332655,12334528,17493646,23832245,31322686,36503677,28040271,20872220,14969972,14969971,20872215,28040263,31322715,23832265,23832266,31322717,35249370,35249369,44633776,51432619,51432621,62409437,63130187,63130188,75307495,257700685,40723503,40723502,50827456,40723506,40723505,40723507,50827462,50827454,50827442,41234577,256084331,18303053,12991954,12991955,12991959,8844601,5764144,5764133,5764132,8844585,12991937,18303021,24784846,32409690,30293000,22894593,16664804,16664805,22894595,30293002,38878994,48801336,60198281,72937513,63908986,63908985,77020623,90900361,105080246,119273181,133102971,258276286,112516876,98521940,84596942,71032476,58316563,46949556,37069976,37069977,33059873,33059874,40217773,40217772 Dl.O(d2) = 6772475,4244912,2538013,1462444,1462442,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470750,1470749,2532255,2532256,1467914,830436,468450,468451,830438,1467923,2548176,4244972,2538047,2538046,4244970,6772549,6755897,6755896,6852302,6791622,4258119,4258118,6791617,6779007,4249251,4249252,6779012,8968483,5941825,5941826,9084289,10298693,6850950,5946278,3718533,2226696,1291465,1291463,2226693,3718528,5946269,6851070,6851162,6851164,10306455,10268705,6749246,4229048,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596779,835966,835964,1478849,2568583,254715123,255149040,27280308,35405950,255149042,52456833,42104859,33150975,25410384,18819323,13407221,9166359,5999476,3752010,2246841,1303249,1303250,2246842,3752011,5999483,9166375,13407256,12417307,9166317,9166318,13407152,18819214,25410236,25418093,25418092,23407210,22275409,16132836,16132839,22275418,25935679,25935678,26998946,31425617,33159133,25418126,18826442,18826440,23934950,23934951,31425750,25410199,18819190,18819191,25410205,33150801,38193981,29627008,22275338,16132795,16132794,18387929,18387930,24887287,32532059,41382512,255288100,33742751,25935673,25935672,33742749,42773164,38195183,38179679,33158887,29612169,22261626,16121602,16121604,22261633,26606141,22276305,16133491,11207368,11207367,11812317,16882767,23142841,25935974,24754782,24754784,32373496,41192203,46764080,43406033,43406035,41131299,38178881,29612069,22261548,22261545,29579324,22261968,16121840,11199115,11199114,16121835,22261956,25418687,18826861,18826859,25418672,30517426,25113838,25113839,32817464,30501776,23087982,16834382,16834383,23087988,29612443,24906641,18402477,18402478,22261611,22261612,22107330,16121989,16121987,22262200,29612881,23407604,23407605,29254164,28389095,21170283,21170284,28389101,24203439,24203441,24203375,24203373,29475692,29475689,38038599,30050610,30050609,38624486,259409267,114268846,128153538,141512670,262264553,169160451,169160450,169160451,157718899,145309018,132073391,118254393,104094526,89963118,257309492,43846031,255328792 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1751566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3789390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3789390, s2 = 6787949, int(edited[s2]) = 0 s1 = 3789390, s2 = 6787949, d1 = 11, d2 = 22 Dl.O(d1) = 133508581,133508582,261604473,111718012,259869975,70409982,57715818 Dl.O(d2) = 258457791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3789390, s2 = 6787949, dlinesl.size( ) = 44 s1 = 6743041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6743041, s2 = 5632646, int(edited[s2]) = 0 s1 = 6743041, s2 = 5632646, d1 = 37, d2 = 21 Dl.O(d1) = 258002069,46374555,36515452,36515451,36515450,28051135,20882580,14980268,267957119,4252234,2544734,1466059,829539,468080,468081,829566,828793,467672,254117809,1464586,2542081,4252240,6779122,10307625,14975267,13294021,9076058,5935512,5935513,9076060,13294025,9099582,5953639,3723225,2229290,1292827,737839,737838,1292825 Dl.O(d2) = 222433130,224799105,226853053,228643753,230218430,231617007,266249173,266443975,235987712,266607713,266680157,238978394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6743041, s2 = 5632646, dlinesl.size( ) = 2 s1 = 6743041, s2 = 5632646, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6743041, Dl.E( ) = 44, 1.31e-05 seconds used appending s1 = 801116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1086107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2110791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1752802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8070865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8070865, s2 = 6543368, int(edited[s2]) = 0 s1 = 8070865, s2 = 6543368, d1 = 7, d2 = 5 Dl.O(d1) = 21758023,15703157,255425159,255860065,15703052,10870461,7187228,7187229,10870463,15703053,21757873,29052220,269791869,257404044 Dl.O(d2) = 255790138,10390657,268079650,4356850,254223245,854231,482443,482444,854234,1506635,2610069,1509180,1508645,855477,855476,855474,254158379,2612836,4360498,6938898,6929306,4353376,2607418,1504810,1504811,2607422,4353382,4360493,6929929,4357833,4357834,2613170,2613169,4360973,6939544,10522423,10513146,8615752,5600521,254328530,12684233,10508691,10508690,7387303,7387304,6930805,6930802,6938599,4666974,4666976,6932569,4355719,4355720,5378643,5378645,8333637,8333231,5378387,5378385,8333229,12335366,15670057,11979614,11979616,17068932,23335180,23353985,17086225,11998672,8067598,8067597,11328513,7525034,4758568,4758569,5168661,5168662,6996544,6996543,8050271,5140849,3126827,3126826,5140847,5167813,3150021,1842918,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590256,1043606,1828469,1827445,1043071,1043072,1827454,1869877,3122801,4680172,2819741,2819742,3139317,5108776,3101884,3101885,3139055,5155323,5170450,5170449,5115214,268389716,3096211,3096210,5100892,8012439,5163844,254570473,254351595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8070865, s2 = 6543368, dlinesl.size( ) = 2 s1 = 8070865, s2 = 6543368, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8070865, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 113990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6630299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1754694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1754694, s2 = 15548709, int(edited[s2]) = 0 s1 = 1754694, s2 = 15548709, d1 = 3, d2 = 1 Dl.O(d1) = 46414598,257394863,46836124,46836123,46836124,36957905,28457666,28457665,28457666,255389083,14057176,14057175,19616502,26345494,32326142,41140601,41140605,32326147,24710908,18239138,18239137,24710903,24939893,18426907,18426908,24939895,32326143,32326144,41140602,51325025,257185843,256631217,25306480,25306479,268393653,21843373 Dl.O(d2) = 255690511,13707820,254663183,6151072,254939627,255690513,33652582,42682904,257823995,78402125,257050506,46468078,46468077,57824798,70526925,84063716,88169957,74555083,61771534,50291794,257088185,268445789,255192855,8498741,5500354,3389998,3390000,5500358,8498746,268116615,16735652,12004185,12004186,17091496,23360252,30785467,39387683,49315439,60717285,72483702,64853978,52928505,256666315,25738412,25738413,33517941,36859301,256839199,39387654,30785443,28361171,28361170,36859313,46741009,50291795,258280195,258902653,84383945,70826294,58111153,46741008,36859312,36859313,46741010,58111152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1754694, s2 = 15548709, dlinesl.size( ) = 2 s1 = 1754694, s2 = 15548709, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1754694, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 2112962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2112962, s2 = 12987225, int(edited[s2]) = 0 s1 = 2112962, s2 = 12987225, d1 = 0, d2 = 4 Dl.O(d1) = 57771801 Dl.O(d2) = 211040771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2112962, s2 = 12987225, dlinesl.size( ) = 2 s1 = 2112962, s2 = 12987225, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2112962, Dl.E( ) = 48, 2.88e-05 seconds used appending s1 = 13641603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1782782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2113532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 305779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 305779, s2 = 14282197, int(edited[s2]) = 0 s1 = 305779, s2 = 14282197, d1 = 6, d2 = 7 Dl.O(d1) = 7586771,255100213,254466000,9119523,6813321,6813319,256280769 Dl.O(d2) = 257652646,74314838,61538219,50059881,268680633,31360293,40040363,50059882,48446738,255176272,16423835,14342764,9853887,269864384,255507929,11670691,7779978,4930779,4930778,7723089,255118025,22858034,29878010,22521355,16348154,11375716,7557488,4778893,254240193,950874,536226,536229,950883,1671331,2880012,2880709,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,15539370,10746958,7100307,7100309,10746963,15539380,21560379,21134730,21134729,19878664,14242825,14242824,16357270,267906158,7562795,11383308,16357264,15547516,15547518,12180154,8211956,7559883,7559881,11362888,11361811,11361810,16330808,22504803,16349027,16349026,16328314,11375610,7557405,7557404,8192503,12162016,15884993,11011575,11011578,15885003,21980197,22015497,16328575,16328574,16348867,15885103,11011624,11011623,11380841,7561161,4781109,4781111,7561169,7839862,7839861,11742447,267745034,30446435,39035814,31351059,23857186,23857185,29882597,29882598,28831190,21560609,15539574,15539573,21560606,21466250,15465352,10693760,10693762,15465355,15923928,11046683,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771529,4771530,7543978,11354132,16302296,11343101,11343100,16302294,11347318,7540272,4769668,2875336,2875335,4769666,7540265,11347306,11352209,7542910,7542912,11352211,11347565,11347566,16309498,15977898,15977897,15327874,10586711,10586709,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918381,22019777,22472527,21296523,15329448,11352721,11352719,12139570,12139568,17259620,22476570,16306104,16306105,22475589,17175302,16491223,16491222,22692720,23355046,23452224,17175285,16316882,16305678,16305679,22476026,29843023,37417397,28875821,21600638,16737254,11693520,7798819,4945530,4945529,7798817,11693516,16737248,22018382,22018383,16318837,15884875,15884874,21980033,22973471,22476100,22476099,22973093,28517033,21295921,15328983,15328984,21295926,22020139,28517020,28516417,21295300,21295299,22481171,22481211,21569406,21569405,22490526,16736322,16736321,22478241,22478240,29844677,29856054,22491320,16318046,16318047,22491322,29856057,38422664,37919006,29884134,22529533,22529534,29884136,38441541,30757209,23334620,17068377,15884858,11011499,7289486,4596746,2765274,2765275,4596747,7289487,11011502,15884864,21980018,21105491,15160442,254840344,6891742,10455167,8298706,8298705,5353645,5353643,8298717,12288135,17433900,22229312,22229310,22567762,21094972,21094973,21125776,21093443,21093442,21125790,28338030,28304814,28304813,21598894,21598895,16175111,16175110,22320114,29671352,28304589,21095486,15152824,15152825,20304651,14571485,14571483,20304649,255420716,39774229,36801372,28304729,21095600,15152900,15152899,21095598,28304726,30445236,25250634,25250633,25088390,25088391,32786271,32787940,39742036,49760746,48957505,39035665,254524726,27133129,30408920,30408921,37758328,30408947,23004086,23004087,23354308,30778420,37017582,28519584,21298703,15629587,15629586,21665232,28944025,32786507,267790814,23037592,16793174,11741887,7839516,4976410,4976411,7839522,254167508,23037662,30445241,39027827,36513242,36513243,36806208,28309339,28309340,28516287,30445249,39034659,39774180,36911524,28413968,28413967,29847537,29801580,29801583,29745347,29745346,36808609,29856303,22491726,22491727,29506517,38070120,40093092,36807600,36805743,261629013,273093479,180543819,180543818,189449411,180543819,261229566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 305779, s2 = 14282197, dlinesl.size( ) = 8 s1 = 2114302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6849668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6849668, s2 = 14163643, int(edited[s2]) = 0 s1 = 6849668, s2 = 14163643, d1 = 1, d2 = 1 Dl.O(d1) = 259260257,258009241,57802783,46447161,36581704,36581703 Dl.O(d2) = 259260257,258009241,57802783,46447161,36581704,36581703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6849668, s2 = 14163643, dlinesl.size( ) = 2 s1 = 6849668, s2 = 14163643, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6849668, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7886973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13573413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2115655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10197166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1757597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1757943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10141115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2116702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2116702, s2 = 15162205, int(edited[s2]) = 0 s1 = 2116702, s2 = 15162205, d1 = 8, d2 = 0 Dl.O(d1) = 57833695 Dl.O(d2) = 21490456,21490455,21490407,15484804,10707857,10707858,15484806,15477172,254098034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2116702, s2 = 15162205, dlinesl.size( ) = 2 s1 = 2116702, s2 = 15162205, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2116702, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 806385, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6480448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6480448, s2 = 6544325, int(edited[s2]) = 0 s1 = 6480448, s2 = 6544325, d1 = 32, d2 = 27 Dl.O(d1) = 255020303,6922729,10498412,15219546,21180174,268913455 Dl.O(d2) = 255798590,22968361,21624287,21624286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9739058, s2 = 10215072, int(edited[s2]) = 0 s1 = 9739058, s2 = 10215072, d1 = 34, d2 = 39 Dl.O(d1) = 261981299,271983880,260267584,259023808,258397010,46502151,40561035,31859346,24337204,17947171,17947172,24337214,31705293,31705294,40397302,33654667,33654666,42056836,52255344,52255345,50430611,46311944,36459179,36459178,31705304,31705303,31705308,28000657,28000656,36459352,37475546,28934019,28934020,35023261,35023260,38998108,48922057,42685093,33654810,33654811,42685094,46469358,255440704,34968805,26889768,26889769,34968825,44346354,55197102,67541167 Dl.O(d2) = 271550952,134614867,120818596,106571066,106571067,120818598,123516582,109325264,109325265,123516583,116793011,116793012,130617855,143925374,143925376,130617857,130617856,143925368,130617849,120818607,106571081,92273456,92273455,106571078,106571074,106571073,260412646,130617863,130617864,134614873,120818605,106571077,92273454,78246401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739058, s2 = 10215072, dlinesl.size( ) = 14 s1 = 13163613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13163613, s2 = 14097563, int(edited[s2]) = 0 s1 = 13163613, s2 = 14097563, d1 = 108, d2 = 77 Dl.O(d1) = 22369554,18184306,16215089,16215086,11271942,11271940,16215113,22369676,29726243,29545603,22202201,22202202,19455627,19455628,26154627,29553386,29553385,38118339,48031570,42558583,42558584,48796382,47684059,44800503,44800502,55707683,64676024,77866161,91788781,105983393,100934009,86950711,73339417,60594659,60594658,60594660,60594661,73339419,86950714,86950719,73339425,73339424,60594682,49194061,39267836,39267837,49194062,60594683,73339442,86950740,100934038,114988032,100934039,86950741,86950742,86950739,86950740,100934038,114988032,114988033,128890117,142241419,261790027,151768188,151768187,262043498,139066663,128890099,125727811,125727812,139066384,151767808,139066708,139066707,151768254,163643093,262538494,262043502,184126885,184126423,262538486 Dl.O(d2) = 101793016,259405462,129738044,138785295,138785294,151486714,155619025,143069097,129738065,129738066,143069099,143069074,129738040,260623484,143069101,129738067,115839105,101793024,101793023,115839102,129738063,143069095,151486715,151486716,259405464,129738047,115839087,101793016,87820522,87820521,74216540,61437390,61437391,74216542,87820537,101793028,115839110,129522622,115637407,101596868,87629664,74025674,74025673,87629663,101596866,260496901,112209875,98231644,84324306,70765086,58046236,46671097,46671098,58046237,70765088,84324311,74625698,61833368,61833367,74625671,61833333,50349309,40322844,257091365,61833335,74625673,85857982,258283467,61833334,258283465,61833348,50349321,50349320,61833345,74625679,61833433,61833434,50349414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13163613, s2 = 14097563, dlinesl.size( ) = 28 s1 = 9152422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1760802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1760802, s2 = 10275422, int(edited[s2]) = 0 s1 = 1760802, s2 = 10275422, d1 = 10, d2 = 94 Dl.O(d1) = 46508769 Dl.O(d2) = 226654850,274364596,219385833,219385832,222176787,224573111,226654848,226654849,228469224,230063615,230063619,274480052,226654850,274364596,219385833,219385832,274426178,228469226,266034198,228394542,265867655,226570406,224476624,222066731,265393451,222066714,224476605,222066743,219260970,219260969,222066739,222064705,222064706,224474969,226568977,224476593,222066703,274276874,264994727,265393452,215935497,215935496,265203747,224475006,224476608,224476629,222066733,219260962,215938347,211923490,207010319,264224110,194005107,194005108,264508683,211923482,215938342,219260953,222066716,224476608,224476629,224476628,226570407,274466670,224476605,222066743,219260970,215938354,211923494,264764221,219260965,222066737,224476636,226570414,226570386,226570365,226570366,228394523,274515383,226570396,228394525,228394522,226570364,274410690,219260933,215938326,215938325,265203744,211923475,207010306,207010305,211923472,215938330,265203929,219260948,215938338,211923479,264764219,219260943,222066709,224476595,226570378,224476600,224476601,265723329,228394521,226570364,274410690,219260933,219260931,222066692,222066707,222066709,224476595,226570377,226570398,224476616,222066725,219260972,219260971,222066744,265566455,228393406,228393405,226570412,226570413,226570369,224476585,222066698,222066697,265566449,228394527,226570376,265566294,219260943,222066709,224476595,226570378,224476600,224476601,265723329,228394521,226570364,274410690,265393447,265393300,219260967,219260968,222066688,219260929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1760802, s2 = 10275422, dlinesl.size( ) = 26 s1 = 10180352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8230447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9372730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16312312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16312312, s2 = 8413005, int(edited[s2]) = 0 s1 = 16312312, s2 = 8413005, d1 = 9, d2 = 9 Dl.O(d1) = 26001986,19329274,19329273,26001985,256165893,256683541,33818210,33819189,26001981,19329270,13822186,13822187,255698241,13821750,9479269,9479270,13821752,18563319,13191261,13191260,18563317,25113495,32817058,256165823,19328617,13821747,9479267,9479266,13190686,13190712,13191293,8992552,5871046,3665880,2194132,1274394,728793,414900,414901,728770,1274353,254295205,5870867,8992216,255243649,25112220,32815417,41736109,52050740,53322077,53322076,65321006,78618631,78618633,78618632,92673773,107006795,121299382,135149171,148321637,160593838,170014679,261949575,133060145,133060147,146287707,133060144,133060143,262449815,180181319,182798058,182798059,182798061,172898783,262053345,260953085,107821665,93399153,79272690,65910269,65910270,65177335,53191658,42742061,33712344,33712343,33712341,33712340,42742060,53191656,65177333,259072695,106814899,272028617,128271565,114395428,100372230,259324828,72821496,259418871,86416406,259418869,259418867,85703426,269959316,59386272,50253570,50253569,61732009,59386274,47997287,256604706,16052490,11146034,7392904,7392903,7633787,7633786,11477350,16472699,22668139,16487300,16487301,22687033,29307971,21980554,15885278,15885277,21980551,29307967,37876633,31594209,31594210,40278543,50298987,59602806,48554585,47800480,47800415,47800416,59200216,61540025,50061862,40042372,40042373,40042380,40042381,40042385,40031726,31351490,23857989,17514890,254185688,8344677,12351058,8344718,5385987,5385988,8344720,5385998,5385997,8344733,12351100,17514896,12351068,8344710,8344709,8344730,8344729,12351063,267736332,5385962,8344681,12351062,8344687,5385964,3311922,3311923,5385966,254105912,17514911,17514903,12351074,12351075,17514906,23858003,31351501,254185676,31351552,31351553,254185678,49080091,43205293,40237673,40237672,50257059,42505711,42505712,52915075,64839767,257069364,106162198,120364748,259992152,134713593,269808884,92357097,92357098,106661649,120914782,134713588,269808882,92357096,256393732,53060746,53060745,256935866,44566522,35188201,255751967,268551305,255565306,46692588,58065127,70782585,84341261,74316545,61540029,50061871,46692586,46692587,256017206,84341256,98248409,258260964,98248411,98248412,89454870,89454869,103553402,98248410,98248412,89454870,89454869,103553402,258260966,139086515,125745610,125745609,125745607,111925787,97986586,84111906,70575636,57874723,46519188,46519189,269767121,57874722,57874721,57874726,65127880,53143079,42692597,33661948,33661947,42692596,53143065,53143067,42692588,33661942,256674745,42692601,53143087,65127890,78409463,92445046,78409437,78409438,72733293,59995883,258250396,16526648,22731896,30112152,23748806,17423338,12280490,8293664,8293663,12280486,17423335,23748804,31232353,30112055,22731798,16526570,16526569,22731795,22731850,17138354,17138355,255556618,11518380,8293679,5350600,254845179,17423353,23748823,257555897,72733351,86331125,100293510,114324145,261207409,129708880,271856990,101764159,87791357,87791358,101764161,101764145,87791338,87791335,101764137,115810192,128207333,114324155,114324156,261207413,115220678,115220680,129151505,115810243,101764184,101764183,100293202,87791368,74187274,74187273,87791366,260112507,129151500,115220676,101143492,87145221,270880227,87145225,101143496,101764155,100293517,86331136,72733355,72733354,86331135,74187263,74187261,87791342,101764149,260709379,101143517,87145233,87145232,101143513,100293534,86331148,72733365,72733364,73529488,73529487,87148467,101146603,260083511,101143449,101143450,87145219,73526161,60777972,269848049,87145215,101143487,115220670,128207347,114324166,100293535,86331148,72733365,72733364,73529488,60781624,60781625,73529489,73529495,258788432,30847877,30847878,39452192,39344603,30745378,30745379,31120762,23634317,17318410,12193668,8224062,5294492,5294491,8224060,12193665,17318405,23634312,31120754,39801230,49822081,59374727,257603950,60658316,49258778,49258779,58035472,46662753,36777424,28281391,255977316,38508195,36782742,28285958,21080003,21080002,21484795,21484793,28742643,28742644,37275086,39759376,37275069,28742628,28742629,37275070,47181089,257434744,46961670,37080887,28576831,21347875,21347874 Dl.O(d2) = 26001986,19329274,19329273,26001985,256165893,256683541,33818210,33819189,26001981,19329270,13822186,13822187,255698241,13821750,9479269,9479270,13821752,18563319,13191261,13191260,18563317,25113495,32817058,256165823,19328617,13821747,9479267,9479266,13190686,13190712,13191293,8992552,5871046,3665880,2194132,1274394,728793,414900,414901,728770,1274353,254295205,5870867,8992216,255243649,25112220,32815417,41736109,52050740,53322077,53322076,65321006,78618631,78618633,78618632,92673773,107006795,121299382,135149171,148321637,160593838,170014679,261949575,133060145,133060147,146287707,133060144,133060143,262449815,180181319,182798058,182798059,182798061,172898783,262053345,260953085,107821665,93399153,79272690,65910269,65910270,65177335,53191658,42742061,33712344,33712343,33712341,33712340,42742060,53191656,65177333,259072695,106814899,272028617,128271565,114395428,100372230,259324828,72821496,259418871,86416406,259418869,259418867,85703426,269959316,59386272,50253570,50253569,61732009,59386274,47997287,256604706,16052490,11146034,7392904,7392903,7633787,7633786,11477350,16472699,22668139,16487300,16487301,22687033,29307971,21980554,15885278,15885277,21980551,29307967,37876633,31594209,31594210,40278543,50298987,59602806,48554585,47800480,47800415,47800416,59200216,61540025,50061862,40042372,40042373,40042380,40042381,40042385,40031726,31351490,23857989,17514890,254185688,8344677,12351058,8344718,5385987,5385988,8344720,5385998,5385997,8344733,12351100,17514896,12351068,8344710,8344709,8344730,8344729,12351063,267736332,5385962,8344681,12351062,8344687,5385964,3311922,3311923,5385966,254105912,17514911,17514903,12351074,12351075,17514906,23858003,31351501,254185676,31351552,31351553,254185678,49080091,43205293,40237673,40237672,50257059,42505711,42505712,52915075,64839767,257069364,106162198,120364748,259992152,134713593,269808884,92357097,92357098,106661649,120914782,134713588,269808882,92357096,256393732,53060746,53060745,256935866,44566522,35188201,255751967,268551305,255565306,46692588,58065127,70782585,84341261,74316545,61540029,50061871,46692586,46692587,256017206,84341256,98248409,258260964,98248411,98248412,89454870,89454869,103553402,98248410,98248412,89454870,89454869,103553402,258260966,139086515,125745610,125745609,125745607,111925787,97986586,84111906,70575636,57874723,46519188,46519189,269767121,57874722,57874721,57874726,65127880,53143079,42692597,33661948,33661947,42692596,53143065,53143067,42692588,33661942,256674745,42692601,53143087,65127890,78409463,92445046,78409437,78409438,72733293,59995883,258250396,16526648,22731896,30112152,23748806,17423338,12280490,8293664,8293663,12280486,17423335,23748804,31232353,30112055,22731798,16526570,16526569,22731795,22731850,17138354,17138355,255556618,11518380,8293679,5350600,254845179,17423353,23748823,257555897,72733351,86331125,100293510,114324145,261207409,129708880,271856990,101764159,87791357,87791358,101764161,101764145,87791338,87791335,101764137,115810192,128207333,114324155,114324156,261207413,115220678,115220680,129151505,115810243,101764184,101764183,100293202,87791368,74187274,74187273,87791366,260112507,129151500,115220676,101143492,87145221,270880227,87145225,101143496,101764155,100293517,86331136,72733355,72733354,86331135,74187263,74187261,87791342,101764149,260709379,101143517,87145233,87145232,101143513,100293534,86331148,72733365,72733364,73529488,73529487,87148467,101146603,260083511,101143449,101143450,87145219,73526161,60777972,269848049,87145215,101143487,115220670,128207347,114324166,100293535,86331148,72733365,72733364,73529488,60781624,60781625,73529489,73529495,258788432,30847877,30847878,39452192,39344603,30745378,30745379,31120762,23634317,17318410,12193668,8224062,5294492,5294491,8224060,12193665,17318405,23634312,31120754,39801230,49822081,59374727,257603950,60658316,49258778,49258779,58035472,46662753,36777424,28281391,255977316,38508195,36782742,28285958,21080003,21080002,21484795,21484793,28742643,28742644,37275086,39759376,37275069,28742628,28742629,37275070,47181089,257434744,46961670,37080887,28576831,21347875,21347874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16312312, s2 = 8413005, dlinesl.size( ) = 2 s1 = 16312312, s2 = 8413005, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16312312, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 13321633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346997, s2 = 9690287, int(edited[s2]) = 0 s1 = 10346997, s2 = 9690287, d1 = 25, d2 = 16 Dl.O(d1) = 141537946,260395178,167850796,156262122,143735800,143735801,156262123,166776499,155079442,142435053,262628533,139276651,125927271,125927272,272253344,154200690,260696648,128180550,114297684,100267967,100267968,114297686,128180552,127549477,270318974,257511142,49296126,39368749,39368748,39368659,30767116,23343896,255145685,8043326,5133863,3121374,1824378,1824377,3121387,5133926,8043442,11991250,17078090,22485563,16313521,16313523,22485574,19429705,13901950,13901949,9740529,9740531,14168592,19773668,14163464,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018743,23018772,23018774,19774278,19774279,24139679,30767088,30767085,26579355,23451391,23344055,17077854,17077851,17077991,22447908,19773787,14163530,14163531,19773793,26576069,34562945,26578090,26578088,34291976,26576166,19773862,19773861 Dl.O(d2) = 274290352,265599355,228689615,226907692,224862726,265241033,216510120,212589896,207793732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346997, s2 = 9690287, dlinesl.size( ) = 20 s1 = 2120785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2120785, s2 = 14163651, int(edited[s2]) = 0 s1 = 2120785, s2 = 14163651, d1 = 20, d2 = 18 Dl.O(d1) = 57966765,46590323,46590322,257417177,256709651,34293803,36703928,28212837,256289855,46590797,57967229,70685263,59607735,48220953,48220955,256990168,85935884,99890941,113909270,127783720,141140630,127783709,113909263,258179420,59607737,256990168,85935883,99890939,113909267,127783714,260643726,165595681,176271776,176271781,165595678,153814028,141140632,127783713,113909265,99890938,99890939,113909267,127783714,260643726,165595680,176271780,185723499,176271778,165595674,165595675,165595685,153814035,141140638,127783719,127783718,127783716,113909268,113909267,127783714,260643726 Dl.O(d2) = 113909267,127783714,260643726,165595681,261219642,272213533,99890935,257570902,59607736,72342155,85935882,258802816,261180213,153814027,261766374,185723501,193966296,191642103,183028861,173174720,162072228,149858040,136715214,136715213,149858038,149858050,149858037,149858038,136715228,260707110,66844025,54584410,54584408,66844021,80274037,260374195,261533149,122882934,108618246,94330653,94330654,108618248,122882936,272447853,162072229,162072231,149858048,149858049,149858044,136715225,136715224,136715234,260707114,260110092,80274045,80274044,94330660,94330658,80274041,80274040,94330656,108618251,122882941,136715217,122882933,108618246,94330653,94330654,108618249,122882938,108618258,108618257,108618255,94330659,94330660,94330658,80274041,80274040,94330655,260374197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2120785, s2 = 14163651, dlinesl.size( ) = 2 s1 = 2120785, s2 = 14163651, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2120785, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 10347421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347421, s2 = 9674204, int(edited[s2]) = 0 s1 = 10347421, s2 = 9674204, d1 = 53, d2 = 46 Dl.O(d1) = 114031701,259534970,153942845,261317500,127003736,113146203,99156344,85234330,71669381,71669380,85234313,71669371,58947801,47564965,37658889,37658890,37658895,33248060,25497420,18892222,18892221,25497418,33248057,42209785,52570319,64445435,77613680,91542746,105031105,258927344,63861441,52041868,41726821,41726820,52041866,63861436,59695032,48308093,48308094,48308085,48308084,59695022,59695003,48308072,38397356,29824997,22457656,22457657,29825000,38397362,29825009,29825010,38397371,256931308,22854001,16628690,256443333,48752160,257016972,62005045,72006394,72006393,73433635,87050991,87069405,257625954,49301900,39374867,30773849,23350382,17083090,11995349,11228489,7450486,4707404,4707403,7450483,11228481,16161287,22022170,29353402,28762501,21502740,21502741,28636959,37152225,28762506,21502743,15495196,15010909,10340454,6807353,6807352,10340450,15010904,11836763,11836764,16615698,11589507,11589506,12221410,8251299,5322823,3271318,1923923,1923922,3271315,4425328,2655500,2655499,4425322,7033980,10652509,15411173,21397003,28637051,28637050,28090992,28090991,36560922,46425125,48204884,38295679,29728848,22372132,22372131,22134471,16018626,268082562,4660544,2807792,2807793,4660546,7377085,11122131,16018653,22134510,24283235,31797134,29470847,22134929,22134931,29470852,38033166,47946961,46425272,46425273,38032939,29470148,22134428,22134427,29470127,29470128,36561088,28091113,22134743,16018800,16018799,22134741,29470597,38033395,257317388,58268337,47775436,256291898,48860723,38941180,30354953,30354952,256293957,28258635,36753656,46639821,58013909,70729442,74174260,70685775,57967764,269375152,46902463,46902464,46591510,36704665,28213467,21019796,15096937,10412062,10412063,255374891,28213473,28213447,28213446,36704633,46591463,57967779,60673349,57969294,57967942,49277662,39350960,39350961,49277663,46591496,36704655,36704656,46591497,46758241,58126593,70841040,84238433,73426563,60678698,257605066,39350930,268973128,73426539,73426541,77395021,91313960,105531980,257605122,128878349,114975888,100922031,86939705,86939704,77394880,268973150,256479782,60678699,73426564,87043767,73426077,73426076,87043765,84245636,84245538,70693575,70693576,84245540,98139314,98140240,84246532,84246531,87043762,73426066,60678098,60678097,257605064,101039619,95598562,255978162,86939674,81208101,81208102,257024592,109520075,109520074,116417231,129177494,260277282,87172734,73554958,73554957,87172733,258642972,257408290,74022340,257629185,31066324,35385184,27259939,20325855,14586930,10037029,254987067,20325848,27259927,35385167,269205183,259182799,77602942,91533561,81206866,67742023,257791246,81206862,260999005,133855373,119989781,105755809,91532728,270347168,64433001,77601943,77602012,64433070,57972085,46595401,46595402,269770059,85997083,258152632,59664894,59664895,258764557,99955679,99955774,98136583,84242580,70690377,57972462,46595744,36708229,36708231,46595745,57972464 Dl.O(d2) = 271881633,270287032,113327520,258040826,268610668,38451979,38451980,48353853,59737319,72472493,86070689,72472486,59737313,48353848,48353846,59737309,258651092,81208212,67743188,67743189,70792938,77976656,64782322,64782323,61588043,57971446,57971445,67743348,257201150,55404094,67743527,72478987,59743742,48360008,48360007,59743741,71791641,59050385,59050384,48353625,48353624,59737100,59743712,48360487,38458776,29901995,22546552,22546553,29901997,38458780,39020004,38452061,29894946,255476737,11388296,7565837,4783852,2882656,2882653,4783847,7565825,11388269,16364588,22539443,29894687,29894686,29894729,22546513,22546512,29901322,38458064,38458700,29901907,22546445,16370658,16370659,16370822,11393031,7569637,4787130,2885356,1674554,952677,537162,537163,952679,1674559,267831405,7569665,11393079,16370883,16370836,11393040,11393041,16370837,22546643,268419611,16783113,16783114,22546302,256414433,29902253,29902081,29902082,23024552,16783102,11734723,11734724,11734765,11734766,16783150,23024601,30430411,39019764,48942853,60339974,73079905,257831595,50909149,50909148,257313180,52696401,42640899,42640898,258728219,47783380,43347015,256186804,19637443,14074304,9679921,254957641,19637441,256112687,41934610,257771353,65052305,53069971,42622615,33598233,25801357,19155043,13677995,255687369,33598229,42622608,50108469,40087968,31407904,23917418,22900449,22900451,254367236,33925904,254245694,33928614,30447058,30447056,39036379,47437546,37529561,28985154,21702171,15661548,10841812,7167313,7167314,10841815,15661553,18447629,18447630,24966507,28830151,21559268,21559267,28830149,28985157,37529564,47437550,55443747,44593552,38525311,32884120,32884119,41806763,41283612,255618798,77613471,64445145,52569974,256647653,25497225,18892096,13463121,9206749,6027502,6027501,9206747,13463117,18892089,25497215,33247794,257203261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347421, s2 = 9674204, dlinesl.size( ) = 48 s1 = 8063549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8063549, s2 = 3330651, int(edited[s2]) = 0 s1 = 8063549, s2 = 3330651, d1 = 0, d2 = 0 Dl.O(d1) = 36717086,36717085,46605186,57982148,50608566,40567223,256160124,42430838,43130993,53631891,65679808,79031969,93149764,107557413 Dl.O(d2) = 36717086,36717085,46605186,57982148,50608566,40567223,256160124,42430838,43130993,53631891,65679808,79031969,93149764,107557413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8063549, s2 = 3330651, dlinesl.size( ) = 2 s1 = 8063549, s2 = 3330651, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8063549, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10345392, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6588481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1764240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1764240, s2 = 7430697, int(edited[s2]) = 0 s1 = 1764240, s2 = 7430697, d1 = 0, d2 = 86 Dl.O(d1) = 46621315 Dl.O(d2) = 274791574,266579804,266314596,236050433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1764240, s2 = 7430697, dlinesl.size( ) = 18 s1 = 7577709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14563149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14563149, s2 = 6655898, int(edited[s2]) = 0 s1 = 14563149, s2 = 6655898, d1 = 7, d2 = 7 Dl.O(d1) = 256295281,46661356,257000984 Dl.O(d2) = 256295281,46661356,257000984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14563149, s2 = 6655898, dlinesl.size( ) = 2 s1 = 14563149, s2 = 6655898, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14563149, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 6655899, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1091563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9551488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2125148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1767583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6611865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1767891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2474355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2474355, s2 = 2089063, int(edited[s2]) = 0 s1 = 2474355, s2 = 2089063, d1 = 17, d2 = 15 Dl.O(d1) = 70786032,58068499,46696142,36813134,256836075 Dl.O(d2) = 258025336,28316947,36813128,35165087,27077453,20180777,20180778,20180771,20180772,27077450,28107903,28107904,36580061,36813004,28316825,21106676,15161396,15161395,21106673,28316821,36812996,35165093,27077457,20180780,20180781,27077460,35165097,44542702,44542701,35165096,35165095,44542699,55389928,67730302,259166313,109506257,123698159,261560679,150465763,162591482,173618919,183410977,191971359,199335176,205565621,210718673,211404382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2474355, s2 = 2089063, dlinesl.size( ) = 2 s1 = 2474355, s2 = 2089063, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2474355, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 2126536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2127003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6589081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9105954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2127482, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6638178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6638178, s2 = 6596087, int(edited[s2]) = 0 s1 = 6638178, s2 = 6596087, d1 = 10, d2 = 38 Dl.O(d1) = 256833680 Dl.O(d2) = 256370369,43939035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6638178, s2 = 6596087, dlinesl.size( ) = 32 s1 = 7833388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 813662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9537734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9537734, s2 = 16216144, int(edited[s2]) = 0 s1 = 9537734, s2 = 16216144, d1 = 65, d2 = 1 Dl.O(d1) = 270328263,86085046,100047679,114074070,114481821,100456709,86498286,72901844,60165135,48770916,38851103,30267083,22870343,16642318,11610694,7730471,4893636,2949092,2949093,4893642,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,2902895,1684023,1684022,2789246,2789244,4629968,7329237,7744514,4904265,2955967,1714006,973919,548308,306940,306941,548314,973930,1714027,2956018,4904354,7598612,7598614,255005661,6814744,6814668,6814667,10349705,10349805,7598537,4806727,2896963,1681014,956134,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898637,2897370,1681226,1681227,2897375,4805693,2952096,2952095,4892435,2948310,2948311,4892437,7728860,11419978,11419977,16403865,16422860,22605837,22615070,29982088,22875770,16647458,16647457,22875767,30272898,38857315,48777465,60171945,72908991,86505603,98720409,84792781,71224298,58502685,47124207,37226471,28700400,28700401,37226473,38145637,29579426,22231647,22231649,29579431,38145647,38213128,267790216,22294507,29646561,38213125,48123384,59510890,72245443,85837416,99790204,113804092,127672075,141020130,153686227,260594882,261719696,165465183,261951768,142015349,128653499,114754132,100706496,86732144,73126624,60386339,48988752,41284734,32445284,32445285,39422616,39422615,41284689,51499202,63209649,60755246,60755245,72070707,70369059,70369058,59540182,48153876,38245070,38245069,48153872,49352260,60755226,72070974,59336675,47944846,47944845,51015483,40879385,32106762,24530436,24530434,32106759,254953756,47944539,38030691,38030693,47944542,48153906,59540212,254953762,40879343,32106738,24530427,24530428,32106743,40879351,51015443,47944532,47944531,59336344,62590836,50972306,48153929,48153900,38245087,29680283,22328814,22328812,256400333,48153890,59540195,257157332,39368491,30766875,23343645,23343644,30766873,39368490,49295958,60697327,73445240,64556099,52656594,42270791,33290565,25529822,18919766,18919763,25529818,33290556,42270777,47944525,47944524,59336337,72070701,65968462,256038246,34279763,34279765,43378523,53902224,65777806,65777807,55727355,44819495,44819494,55727352,59540204,51362492,51362490,63043671,64733686,65777523,65777524,65777361,53720532,53720531,65777360,77738324,64555988,52656502,42270700,33290460,25529699,18919660,18919661,25529701,33290465,42270711,52656517,46528088,36660624,36660625,46528090,57883920,53720541,53720542,57884061,46528222,46528221,37757595,37757596,35112184,35112185,44489206,46528200,46528199,57884041,70585227,79336414,79336415,84121884,97997333,84121926,256180894,64555993,255980860,46528177,36660691,30659745,23240513,23240514,30659748,39255667,255533144,44622059,44622058,46528232,36660728,28184114,28184115,36660730,256482778,28184064,21001093,15085128,10404802,6858655,267959069,15085123,21001083,28184041,36660629,46528099,257608702,36660676,28184081,21001103,15085135,10404805,6858656,6858657,10404807,15085139,21001115,255533130,46528194,46528132,36660653,256827117,57883970,46528164,36660681,36660682,46528165,57884002,59031016,52717532,42330438,42330437,52717530,58279295,46913920,37706463,29146337,29146339,37706467,29146393,29146391,37706535,47628840,59031018,49066745,47628702,37706413,29146300,21838542,15769032,15769033,21838547,29146305,29146353,29146351,37706477,47628775,59030971,61577554,50097567,50097569,61577558,74354357,87956709,101929571,98996698,98996697,95389326,81340019,67873077,67873078,81340022,95389329,95389172,81339833,71498962,58769566,47382437,37475104,37475100,47382428,58769550,71498935,85071021,98996675,105603984,92988810,78877261,65542192,65542191,78877258,84370593,70811138,58093838,46721659,36838736,36838738,46721661,255807650,46721694,36838763,36838762,46721693,58093850,58093849,70811151,64210126,52359992,52359991,58319195,46952209,269311043,39179217,30581464,30581465,39179220,49108824,60511956,61700518,70811153,77924629,269304816,61700543,61700544,73258153,60511959,60511960,71034807,84599102,77924625,72186222,256835170,48056388,59448039,257414494,46952210,46952211,58319197,71034824,84599108,98524066,112518958,126389564,139765068,152485678,164353148,175145945,184723209,193086183,200263345,206325109 Dl.O(d2) = 178194869,262829434,261852936,130276672,116439848,102346751,88350610,258902962,61929000,61928999,50438600,40404606,31712568,31712567,40404603,50438596,61928998,58776943,58776942,256885771,28940175,21661260,15625092,15625091,14500032,14500031,10889540,7201263,7201264,6503285,6503286,7196035,6490238,6490237,7200292,5957190,254644615,9876958,14336300,9848567,9848566,9871349,9871350,14364725,17432560,14361822,14361823,20038868,15227871,10504229,6926406,6926405,10504226,255053894,9899242,9878322,6489774,4066472,4066471,254686735,6493139,254315111,1407977,1407978,2434611,1578855,897651,506447,506446,897646,506456,506458,897686,1578935,2724856,4500230,4500231,6484631,5317594,5317593,8246040,12215828,9870919,9870916,7223737,7223736,7965779,9964958,9885549,9885548,14379713,14483157,10504162,6926356,4351176,2605867,1503790,1503789,2605865,4351171,6926347,10504153,15227804,255741629,20070898,26955119,33463069,25690883,25690882,257075295,40103869,33463059,33463060,42456047,52860007,258047535,46978664,46978665,58348018,50181056,50122717,40102136,40102137,50122720,61602759,257658129,42037816,33089861,25356971,18774735,17589070,17589068,23931209,31421564,40101772,40101816,40101817,41226881,51423960,63120729,64237651,61603054,50123097,255324422,31421914,31421913,40102089,50122684,61602732,74379370,87981937,101955019,115999566,129897580,143226797,260729866,167408019,177900751,179775666,169576235,158198267,145828830,132611245,118794443,104615320,90452164,258617618,51737226,41468204,32591193,24929588,18418370,13082267,12316525,8319331,5368297,3300323,1941138,1941137,3300321,5368288,5368443,5368444,8319422,5368439,5368438,8319534,5368435,3300395,3300396,3300363,3300362,5368380,3300376,1941164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9537734, s2 = 16216144, dlinesl.size( ) = 16 s1 = 10341882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341882, s2 = 6990633, int(edited[s2]) = 0 s1 = 10341882, s2 = 6990633, d1 = 83, d2 = 68 Dl.O(d1) = 258669392,4393733,2632734,2632735,4393735 Dl.O(d2) = 261069466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341882, s2 = 6990633, dlinesl.size( ) = 60 s1 = 1795618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2130167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2130167, s2 = 5945387, int(edited[s2]) = 0 s1 = 2130167, s2 = 5945387, d1 = 7, d2 = 38 Dl.O(d1) = 58133737 Dl.O(d2) = 238156443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2130167, s2 = 5945387, dlinesl.size( ) = 2 s1 = 2130167, s2 = 5945387, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2130167, Dl.E( ) = 68, 1.91e-05 seconds used appending s1 = 8250999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1772510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6746314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6746314, s2 = 9113473, int(edited[s2]) = 0 s1 = 6746314, s2 = 9113473, d1 = 2, d2 = 7 Dl.O(d1) = 258030817 Dl.O(d2) = 25811408,33610077,42635830,47516474,47516473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6746314, s2 = 9113473, dlinesl.size( ) = 2 s1 = 6746314, s2 = 9113473, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6746314, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 2131016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1773002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1773005, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2131095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2131095, s2 = 1057170, int(edited[s2]) = 0 s1 = 2131095, s2 = 1057170, d1 = 7, d2 = 7 Dl.O(d1) = 58145811,257249022,36900818,28403613,28403614,32108360,28225216,28225215,26979656,20091062,20091061,26979398,20090854,20090853,26979403,35062688,35062689,28225230,21029275,19417171,19417172,26109246,26979402,26979401,35062706 Dl.O(d2) = 58145811,257249022,36900818,28403613,28403614,32108360,28225216,28225215,26979656,20091062,20091061,26979398,20090854,20090853,26979403,35062688,35062689,28225230,21029275,19417171,19417172,26109246,26979402,26979401,35062706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2131095, s2 = 1057170, dlinesl.size( ) = 2 s1 = 2131095, s2 = 1057170, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2131095, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 9146505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2131886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2131886, s2 = 6730038, int(edited[s2]) = 0 s1 = 2131886, s2 = 6730038, d1 = 6, d2 = 12 Dl.O(d1) = 50338118,40312261,31623839,24118415,24118416,31623842,39464392,30860039,29611654,22261212,22261214,27274388,27274389,35401109,31629214,24123699,24123698,31629209,40316992,50342199,61824897,74616273,70870111,58156099,46788630,36910939,28413465,21191868,21191869,28413467,28413477,21191876,15228773,10504977,6926931,4351548,4351549,6926932,5826685,3635558,254200343,715698,680709,379160,379161,214970,117837,64462,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64466 Dl.O(d2) = 9245593,6055328,6055327,8376151,12260036,12260038,17396571,12259607,8279487,8279490,8279816,8279819,8278835,8278836,12258504,12270207,8320372,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281312,12262691,17400545,17382242,17382241,23705079,17404261,12265298,12260185,12260187,12265309,8282923,8282922,12259475,8279426,8279424,12259490,17396405,17556046,12385438,12385437,13356791,12410065,8387523,8387524,12410068,17582219,23805263,17472026,12318136,8320408,5368970,3300707,3300706,5368950,8320238,12317863,17471624,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,22770252,16556224,11539987,11539989,16556182,12266027,12262509,8320375,5368938,3300694,1941346,1941343,3300676,5368899,8320326,12318029,17471886,23719868,17396013,12259224,12259225,10385953,6844651,6844652,10385957,12267493,8284228,8284223,12267487,17407301,12678406,12678408,17898158,24005224,17659878,12488182,12488184,17659885,17401393,12263211,12263212,17401379,21256553,15292088,15292089,17404111,12265183,12265182,10383089,10383090,15057399,20967150,22518525,17405149,12265985,8283340,5343953,3284365,3284362,5343940,8281119,12262328,15118131,15174427,10465436,10465437,15174430,10465445,10465444,15174441,21122410,28334190,23727325,23727324,17407290,12267485,12267487,17407301,12678406,12678408,17898158,24005224,24005223,28149045,28149044,20972011,20972010,28150025,23725872,17401970,12263660,12263659,17401965,23544468,23544469,23731471,17407089,17407090,16512017,16512018,22322484,29673719,31215992,24219574,17849276,17849275,24219572,22322503,22322502,29673742,38238835,42305901,40106828,254495130,31193716,255389548,13501047,9237038,6049756,3785726,3785724,6049748,9237019,13501016,18936671,25549188,33310690,257798565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2131886, s2 = 6730038, dlinesl.size( ) = 2 s1 = 2131886, s2 = 6730038, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2131886, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 10159301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1774317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1774411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3160216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3160216, s2 = 1098697, int(edited[s2]) = 0 s1 = 3160216, s2 = 1098697, d1 = 4, d2 = 2 Dl.O(d1) = 99605202,255762136,83832439,97690190,84439211,70881802,70881779,70881778,71263678,58531870,58531871,70881786,70881785,58167674,58167675,46800243,46800244,58167680,58531869,58531868,58167658 Dl.O(d2) = 36922151,28423729,21200552,15235533,10510117,10510116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3160216, s2 = 1098697, dlinesl.size( ) = 2 s1 = 3160216, s2 = 1098697, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3160216, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15054596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054596, s2 = 15276288, int(edited[s2]) = 0 s1 = 15054596, s2 = 15276288, d1 = 0, d2 = 0 Dl.O(d1) = 8919309,5820650,3631109,2168802,1255322,1255321,2168799,2168896,2168901,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,9950107,14462519,14476524,20170454,254979505,4100013,2452613,1417907,806643,806642,1417905,2452611,4100008,6544254,9957120,9958171,255333721,20163692,27057026,20163524,14465733,9952457,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,20164298,27057825,35143118,256028129,17653070,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,26088115,19398746,13876032,9519083,9519081,13876022,19398722,26088089,29233767,37796179,43915447,43915405,34642209,34642210,43915407,257198340,257247391,35198234,27108455,20207811,14500589,9977998,6558259,6558260,9978000,254682213,4029888,2414897,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358820,11095842,7586725,4798715,4798714,7586721,7358809,4648453,4648452,7358803,11095855,13088676,10571032,267881717,2623280,1514045,858195,858191,1514035,2623056,4379820,4370519,4370465,2618347,2618348,4370222,4370223,6066542,9262405,8105008,8105009,12055043,17151594,23428778,18965345,255672681,33333613,42313985,52701119,64601865,55263742,44416095,256741761,26961490,20077505,14394924,14394923,256216551,256557690,35041645,44416092,46800412,36922301,28423846,254666484,10510151,6930667,4354496,2608311,1505400,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,21200909,28424171,31272681,36922299,46800411,58167823,70881932,84439337,98349176 Dl.O(d2) = 8919309,5820650,3631109,2168802,1255322,1255321,2168799,2168896,2168901,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,9950107,14462519,14476524,20170454,254979505,4100013,2452613,1417907,806643,806642,1417905,2452611,4100008,6544254,9957120,9958171,255333721,20163692,27057026,20163524,14465733,9952457,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,20164298,27057825,35143118,256028129,17653070,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,26088115,19398746,13876032,9519083,9519081,13876022,19398722,26088089,29233767,37796179,43915447,43915405,34642209,34642210,43915407,257198340,257247391,35198234,27108455,20207811,14500589,9977998,6558259,6558260,9978000,254682213,4029888,2414897,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358820,11095842,7586725,4798715,4798714,7586721,7358809,4648453,4648452,7358803,11095855,13088676,10571032,267881717,2623280,1514045,858195,858191,1514035,2623056,4379820,4370519,4370465,2618347,2618348,4370222,4370223,6066542,9262405,8105008,8105009,12055043,17151594,23428778,18965345,255672681,33333613,42313985,52701119,64601865,55263742,44416095,256741761,26961490,20077505,14394924,14394923,256216551,256557690,35041645,44416092,46800412,36922301,28423846,254666484,10510151,6930667,4354496,2608311,1505400,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,21200909,28424171,31272681,36922299,46800411,58167823,70881932,84439337,98349176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054596, s2 = 15276288, dlinesl.size( ) = 2 s1 = 15054596, s2 = 15276288, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15054596, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8119186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8090208, s2 = 14242174, int(edited[s2]) = 0 s1 = 8090208, s2 = 14242174, d1 = 7, d2 = 11 Dl.O(d1) = 271843726,15852189,15852190,19782569,14169685,12159433,8189979,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589223,8601196,12665652,17881795,24259267,31771453,28905526,21631241,20822112,15827054,13311224,13311223,18704366,15827070,10967973,7259771,7259772,10967978,15827075,14407527,14407525,18704610,18704609,18704680,20340029,20856880,14955633,10289152,6763820,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473540,2696650,2696649,4488698,7130097,10792109,254483426,24441053,18025241,12775644,8684019,6837696,6837698,8336233,5380381,3310477,3310475,254089466,254185548,1946322,1946321,3308412,267910055,12339322,17499877,23840114,255564186,256015907,17499879,17499878,256015905,255593816,254616724,254193722,2053405,3462586,5580786,8588663,9757258,9757259,9184392,6011289,6011290,9184397,12773016,8682172,8682171,12773010,13921668,10036792,10036790,14586579,19034317,13586714,9303155,9303156,13586722,19034331,25653211,26120958,22725190,16519941,11513034,11513033,10263749,6744371,4226062,4226061,6744368,7127917,7127916,10788436,10790135,7128863,7128862,9474048,9474046,13814601,10790111,10790110,15030630,15030628,18696251,15002429,10332734,10332733,15002426,13283960,254155778,5928956,4844649,4844647,7656536,9067350,5928949,3707210,3707211,5928954,5578409,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369021,12385003,14958871,20860398,25669928,19049494,19049493,25669927,22729735,22729734,254848982,33165701,25423203,25423204,255360984 Dl.O(d2) = 255387207,254494009,2609871,2609870,2606177,1503966,1503965,859264,485084,272871,151219,83127,83126,151215,272860,481977,271249,150373,82716,45270,45271,82723,150385,254084967,483446,855972,1509341,2613800,4361758,6940567,10523790,15254103,254720114,10507035,10279754,6756136,6756137,6734998,6734999,6932611,6932610,10513089,10523531,255022829,15233627,12684415,12684414,10521307,6938717,4360345,4360344,6938716,255016728,10515428,10515426,9229144,6044549,6044551,6940311,7387347,4666991,2811614,1631088,1631086,2811609,2613073,2613042,1508763,855559,855558,1508760,2613033,4360800,6939347,10522208,10518298,6936586,6936587,6939344,10522177,15167084,10460055,10460056,10459916,10459915,6929600,4353634,4353632,6929596,10508668,15233601,15241952,10514720,6933913,6933912,8606251,5592639,5592638,8606249,12672842,17891278,17904134,17904133,257104203,24392211,24392210,31524639,31056415,23572741,23572740,31056412,257045883,38258922,38258921,38258878,255904971,16192060,11255674,11255673,16192058,255904967,38258867,48168434,59555209,72289408,257523399,38258873,38258872,48168442,59555216,59555240,59555238,59555246,59555244,61711843,50231640,40210663,257083407,59555213,48168436,48168435,59555211,59555223,48168447,38258876,29693238,29693237,256943487,59555204,72289403,258275346,88105716,74493883,61711836,61711835,71537938,58808850,58808851,55295504,44450923,257233152,61447704,61447705,257233154,85109372,258079023,37513935,37513933,47421609,258079021,85109364,71797313,59056586,47656159,47656158,59056585,71797310,85385644,90703596,76833671,76833672,85092554,71520274,58790647,256158510,37495306,47403109,257233150,46776596,36898797,256842383,58144216,70858389,84415913,85385645,259070672,73416933,73416934,71520280,71520281,70858383,70858382,84415908,98325561,112308649,113332022,259342385,73416964,60669833,60669832,60669793,60669794,71797317,59056588,59056587,60669814,60669813,70858387,74849139,73416977,257825324,73416935,60669796,258212271,87034375,87034379,270829415,71797290,59056563,59056564,70858390,269307041,46776597,49269793,60669800,73416938,60669855,49269855,49269800,39344119,39344120,49269804,59056571,59056572,71797294,73416961,85385648,99329564,87034400,87034399,270356847,60669797,49269791,39344109,39344110,49269792,269844543,259459451,258212275,257024135,30744955,30744954,39344113,49269794,60669803,269798867,59056556,71797284,59056579,59056580,71599466,71599467,85164776,99087163,270876516,88245196,74614936,61823272,50340209,40314539,40314540,47656143,37734415,37734414,47656141,39344105,39344106,49269784,39344145,30745008,23323981,23323980,23323955,21863599,21863598,23323945,17058426,11967064,8011056,8011057,11967066,8011061,8011062,11967073,17058435,23323947,30744963,39344129,49269810,60669806,49269835,39344163,39344164,49269836,60669848,71599473,58878982,47499057,47499055,58878978,71599469,59056559,47656138,47656139,271289652,59056566,47656146,37734420,29173698,21863590,15790680,15790681,21863594,17058430,11967069,8011059,5099956,3095531,3095532,5099960,8011068,11967085,255530569,30745005,39344159,30744987,23323963,23323964,30744989,39344160,47499058,37594924,29047151,21753788,21753787,29047150,30744965,255530557,11967067,11967068,11967077,8011064,8011063,255530563,23323975,255977831,23323977,30745004,39344175,49269853,60669852,60669838,49269813,256479367,30744966,39344135,257604611,39344172,39344173,49269847,47499061,47499060,40522177,256353309,21753793,255052747,7186002,4527134,4527133,7186000,10868599,15700151,21753786,24308224,24308225,24307950,17923570,17923568,255206111,8627795,8627796,12699447,17923608,24307988,31825007,24308222,24308223,31825296,40522295,40521947,31824967,24307952,17923572,17923571,12699473,12699474,17923647,24308025,31825050,40522001,37594899,29047124,24308047,24308048,31825072,31825037,31825036,37594931,29047157,24307928,17923588,17923589,17923732,17923613,12699452,8627798,8627799,12699454,17923615,256557921,31825297,40522297,39362998,30761805,23338961,17072813,11984688,11984687,12699477,17923547,254878795,8627777,12699411,12699448,17923611,24307992,31825011,40521978,50558360,257689646,31825288,24308217,17923788,12699569,12699568,12699575,17923795,268265079,12699481,12699462,254618781,5610135,254878797,17923625,12699505,255597407,31825144,40522136,50558547,62050696,257106362,31825034,31825033,40521988,40522184,256557937,255206125,12699517,17923719,24308127,31825180,31825084,31825085,256557925,24308004,17923623,12699459,8627804,5610133,5610132,268005909,17923621,17923666,12699488,12699487,17923664,24308050,31825075,40522021,50558396,62050743,74848928,62051141,50558722,40522279,31825266,24308199,17923777,12699561,12699551,12699550,17923735,24308145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8090208, s2 = 14242174, dlinesl.size( ) = 2 s1 = 8090208, s2 = 14242174, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8090208, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 16357519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16357519, s2 = 6589862, int(edited[s2]) = 0 s1 = 16357519, s2 = 6589862, d1 = 6, d2 = 0 Dl.O(d1) = 228075122,265535045,221629613,218767057,215376539,211273584,206252230,200179603,192987978,184604591,175004126,164188518,152305304,139575575 Dl.O(d2) = 98357304,84447704,70890610,58176393,46809000,256306191,21207962,15241566,10519442,6937291,4359309,2611972,1508037,855123,855122,1508035,2611967,4359305,2624758,1515006,1508072,855147,482963,482962,855145,254223405,4358335,4358334,4352891,4352890,6928626,10507201,6941976,4362832,2614581,1509900,856353,856354,1509903,858450,484564,483375,482050,482049,853514,483435,272012,150789,82918,45367,45366,82916,150781,271995,483398,855898,856114,856113,1509558,1503930,254119425,481491,852512,1503927,2606122,4351616,4356759,2609992,1506567,1506568,2609994,4356761,4354415,2612062,1508115,855175,482980,271767,271766,482977,855171,855952,1509314,2613770,4361719,6937777,6937778,6941845,4362736,4362735,6937802,6937805,10520077,6941242,6941241,10523732,10523699,10509557,10509556,10510388,10510387,6937734,4359676,2612259,2612258,4357292,2610459,1506929,1506928,2610456,4357286,6934413,8615662,5600448,3476396,3476397,4666909,2811569,1631066,1631065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16357519, s2 = 6589862, dlinesl.size( ) = 2 s1 = 16357519, s2 = 6589862, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16357519, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8215725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8215725, s2 = 661562, int(edited[s2]) = 0 s1 = 8215725, s2 = 661562, d1 = 13, d2 = 9 Dl.O(d1) = 9324627,9324628,13617869,19074833,25700841,33473873,37643171,29093218,24442086,24442085,32000949,39517443,30908512,30908513,29814641,29814642,38387234,39517446,39517448,256433950,23565252,23565253,31049607,36824048,36824049,38005138,37496557,37496558,31111106,31111105,39791544,39098632,33998508,26156643,21944238,21944239,29266231,268496144,33965893,256670406,52680512,269420309,17975381,12738617,12738618,13436250,18858260,268091106,13527201,13527200,18962851,21269702,21269703,267904202,21474086,18950226,18950225,25562162,30455715,23047956,16802380,11748931,11748932,7844338,7844337,10541337,15274828,10938748,7237999,7238001,10938752,15788977,21861569,25562449,18950633,18950632,255179688,12052907,12052908,13517155,9249459,9249458,13517153,17392010,17149417,12052890,12052892,8380568,5408369,5408368,8214199,8214201,10982991,7269867,7269865,6069264,3797353,2274477,2274479,3797359,6069284,4979071,3007676,3007674,4979078,7843940,5342538,5342539,8280562,7464292,4716934,2841697,2841696,4716930,7464282,7843617,7843618,10550225,10550224,12397392,12397393,12404074,8404722,8404721,255178055,12377723,13527830,13527829,15486141,15486142,17389435,12254124,8619972,8619968,6935989,6935990,10517457,15245586,21213180,256306779,46816203 Dl.O(d2) = 16888856,256465665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8215725, s2 = 661562, dlinesl.size( ) = 14 s1 = 996930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7718771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13342555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2135091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2135370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13562309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2136372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2136372, s2 = 3067756, int(edited[s2]) = 0 s1 = 2136372, s2 = 3067756, d1 = 15, d2 = 56 Dl.O(d1) = 58219858 Dl.O(d2) = 5209241,3178139,3178138,5209238,8130805,12090674,17194497,18565163,15364579,15364578,18053108,12979896,8835631,8835629,12979892,15389945,21338472,18053116,18053115,24473684,24764566,32385061,28558511,21332620,15359813,15359812,18287269,18287268,24764550,29337361,22005978,15905039,11026412,11026411,13192646,13192645,18429187,13090413,13090415,18429190,24818186,18327554,13009861,13009862,18327556,24818188,23476844,18047935,12794166,12794167,8857378,5773015,267807069,2144729,3596321,5773016,255231215,24818184,26944257,35025068,44400350,55248307,67590031,81057513,95114842,89899877,76098466,63097274,51404094,41210269,41210268,51404091,63097272,76098465,89899875,104024944,104024943,104024942,118181230,131998890,145233971,260188668,169088776,261355520,188402778,273193702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2136372, s2 = 3067756, dlinesl.size( ) = 8 s1 = 8699742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7587214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7587214, s2 = 7666114, int(edited[s2]) = 0 s1 = 7587214, s2 = 7666114, d1 = 11, d2 = 16 Dl.O(d1) = 268609793 Dl.O(d2) = 271765987,258092614 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6753020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6753020, s2 = 7587213, int(edited[s2]) = 0 s1 = 6753020, s2 = 7587213, d1 = 17, d2 = 10 Dl.O(d1) = 258092615,271765986 Dl.O(d2) = 268609792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2484995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2484995, s2 = 6590384, int(edited[s2]) = 0 s1 = 2484995, s2 = 6590384, d1 = 1, d2 = 1 Dl.O(d1) = 70949093,58231872,46863948,256310983,21272561,259908763,114652280,257147118 Dl.O(d2) = 70949093,58231872,46863948,256310983,21272561,259908763,114652280,257147118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2484995, s2 = 6590384, dlinesl.size( ) = 2 s1 = 2484995, s2 = 6590384, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2484995, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13241441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13241441, s2 = 8378569, int(edited[s2]) = 0 s1 = 13241441, s2 = 8378569, d1 = 6, d2 = 6 Dl.O(d1) = 37996462,29433861,22101467,15991467,15991466,19519175,26235949,29433852,256923477,59306459,72041859,255393160,58232652,46864772,255821986,255821989,28489410,21273151,15311924,10575125,6975491,254332059,1514836,1514837,2610633,2610634,2607838,1505103,1505102,1514576,858480,858481,1514577,254494495,2613537,4361481,6932860,10513439,255816655,6939430,4360848,254494549,4360845,6939424,10522308,15252150,10576140,6976345,6976347,10576144,15231252,15242538,15242536,12335798,8333531,8333532,6894855,6894856,10460083,15167109,17494717,23833629,17904525,255595689,31799450,36533894,46394541,57745036,70439924,256806568,91682596,91682597,105889463,269885420,258289178,91682601,258911876,91682599,77755740 Dl.O(d2) = 37996462,29433861,22101467,15991467,15991466,19519175,26235949,29433852,256923477,59306459,72041859,255393160,58232652,46864772,255821986,255821989,28489410,21273151,15311924,10575125,6975491,254332059,1514836,1514837,2610633,2610634,2607838,1505103,1505102,1514576,858480,858481,1514577,254494495,2613537,4361481,6932860,10513439,255816655,6939430,4360848,254494549,4360845,6939424,10522308,15252150,10576140,6976345,6976347,10576144,15231252,15242538,15242536,12335798,8333531,8333532,6894855,6894856,10460083,15167109,17494717,23833629,17904525,255595689,31799450,36533894,46394541,57745036,70439924,256806568,91682596,91682597,105889463,269885420,258289178,91682601,258911876,91682599,77755740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13241441, s2 = 8378569, dlinesl.size( ) = 2 s1 = 13241441, s2 = 8378569, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13241441, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 1779389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1779389, s2 = 14940562, int(edited[s2]) = 0 s1 = 1779389, s2 = 14940562, d1 = 21, d2 = 70 Dl.O(d1) = 46865794 Dl.O(d2) = 256710572 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9475676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2138043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1846723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1846723, s2 = 14282511, int(edited[s2]) = 0 s1 = 1846723, s2 = 14282511, d1 = 9, d2 = 0 Dl.O(d1) = 48091308,48091309,58267258,46901250,37023410,28525506,21303686,15334748,15334749,21303687,28525509,37023414,46901254,269339246,38179714,38179713,47298681,38179694,29612898,255460126,11199204,7431007,7431008,11199206,16122005,22262228,256937117,59480771,72217958,85811935,258750200 Dl.O(d2) = 85811937,259993169,127647643,140995585,153661667,165441948,263149383,263543303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1846723, s2 = 14282511, dlinesl.size( ) = 2 s1 = 1846723, s2 = 14282511, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1846723, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14163286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8422228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7867168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7867168, s2 = 11446990, int(edited[s2]) = 0 s1 = 7867168, s2 = 11446990, d1 = 25, d2 = 18 Dl.O(d1) = 255322068,9796419,6439708,4039281,4039279,5002035,5002036,4603545,4603541,5574143,5574141,8578980,7763575,7763577,11651658,12635466,17843134,24213405,29542641,22199358,16070283,16070286,22199362,17266352,14398373,9903753,6509424,4079124,4079123,6509419,8579965,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,21204041,19142990,17841270,17841268,24211466,26392835,34268900,30598824,254241514,14198538,9760371,9760370,12030395,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,5182606,5182602,8089186,12032580,17122202,14197608,9759772,9759774,7132453,7132451,10795190,15604074,16916455,14213068,14213070,16428254,15159042,10454267,10454268,15159048,19661119,14093006,14093007,15992933,11102285,7362650,7362649,11102282,15992931,22103257,20795938,20075348,14392852,9899147,6506032,4076963,4076962,6506028,4860984,4860985,7682319,11546968,14096387,19665307,23180196,23393553,19665442,14096487,11607275,7727046,7727047,9691607,14090563,19657850,19655009,19655008,26389377,21327075,254918446 Dl.O(d2) = 264354742,176549089,263008636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7867168, s2 = 11446990, dlinesl.size( ) = 14 s1 = 11657420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657420, s2 = 6591828, int(edited[s2]) = 0 s1 = 11657420, s2 = 6591828, d1 = 0, d2 = 9 Dl.O(d1) = 91919384 Dl.O(d2) = 256325472,21335278,21335279,20154864,14458613,9947345,6537749,4096092,4096089,6537745,9947339,10613503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657420, s2 = 6591828, dlinesl.size( ) = 2 s1 = 11657420, s2 = 6591828, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657420, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2141672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2141672, s2 = 11003951, int(edited[s2]) = 0 s1 = 2141672, s2 = 11003951, d1 = 6, d2 = 38 Dl.O(d1) = 58311152 Dl.O(d2) = 24482081,19506027,13961684,12750244,12750243,12844950,8734957,8734956,12844944,9455653,6199626,6199627,9455658,9455259,9455257,9553070,13918404,15347828,10661427,10661428,11004034,15875218,14417423,9915918,6516566,6516567,9915922,14417431,14416187,9914840,6859462,6859461,9199345,6023012,3768054,3768052,3768118,6023136,6022840,6022841,8714156,5672495,3528317,2257628,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978568,4593161,4593159,7283412,9915822,9915823,7284252,7284251,11003760,14421627,9920132,9920134,8692226,8692224,12786096,13713716,18769344,15745709,10905153,7212336,7212335,10623931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2141672, s2 = 11003951, dlinesl.size( ) = 2 s1 = 2141672, s2 = 11003951, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2141672, Dl.E( ) = 42, 1.5e-05 seconds used appending s1 = 10153262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1784116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1784116, s2 = 8076320, int(edited[s2]) = 0 s1 = 1784116, s2 = 8076320, d1 = 2, d2 = 6 Dl.O(d1) = 46950700 Dl.O(d2) = 58317678,71033423,84597813,98522888,112517816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1784128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2142247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2142247, s2 = 5179319, int(edited[s2]) = 0 s1 = 2142247, s2 = 5179319, d1 = 1, d2 = 13 Dl.O(d1) = 58321527 Dl.O(d2) = 215434539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2142247, s2 = 5179319, dlinesl.size( ) = 2 s1 = 2142247, s2 = 5179319, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2142247, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 14940729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14940729, s2 = 6591055, int(edited[s2]) = 0 s1 = 14940729, s2 = 6591055, d1 = 26, d2 = 32 Dl.O(d1) = 269293539 Dl.O(d2) = 256318289,21349014,21349013,28539249,31619188,24113998,24113997,17767615,256037353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14940729, s2 = 6591055, dlinesl.size( ) = 26 s1 = 6780147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6780147, s2 = 13627980, int(edited[s2]) = 0 s1 = 6780147, s2 = 13627980, d1 = 33, d2 = 20 Dl.O(d1) = 258378216,58333641,256620272,37084565,46965819,58333640,71049513,64612542,52712191,42325088,33344109,33344108,33344112,33344113,42325093,257801987,77795198,77795200,77795199,91723158,260287347,260882755,105930768,259044713,77795182,77795209,259671693,105930782,105930781,120142867,259671685 Dl.O(d2) = 115654134,115654139,101613073,87646218,74042998,61263093,61263092,61884008,50394158,40358809,40358808,50394156,61884005,74676157,88301513,100214571,114248613,126858756,113006122,258644730,87646097,87646098,101612995,113319849,113319848,115654133,259340210,260102367,99316325,85371578,259341187,113319863,127179413,140526175,258715224,107811560,107811561,122217631,130218349,116383715,271328396,114248606,100214563,86247022,72645244,72645245,86247026,100214568,114248609,128135425,141496716,154162336,261623606,175759561,165027480,262160508,127179432,129858466,115961235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6780147, s2 = 13627980, dlinesl.size( ) = 2 s1 = 6780147, s2 = 13627980, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6780147, Dl.E( ) = 34, 1.22e-05 seconds used appending s1 = 9501564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13338091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8438198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8438198, s2 = 11657243, int(edited[s2]) = 0 s1 = 8438198, s2 = 11657243, d1 = 36, d2 = 32 Dl.O(d1) = 31327453,39723845,31045364,31045365,31254844,23770447,17442186,17442187,23770448,31254847,39916436,31240973,255557501,12285184,8490144,8490143,12297675,17445940,23775587,23152535,16891642,11820257,7898569,7898570,11820260,16891652,23059257,22798500,16581630,16581629,22798495,30188099,38771563,39916278,49934358,61412694,74191525,64428576,61412957,61412956,61431499,49953405,49953406,258252859,87814646,101787269,115833570,115833574,115833573,129732981,143064554,155615139,167246248,177741092,177741093,187012158,187012159,195094486,202009334,207824528,207826373,207824530,202009336,202009337,207774763,263446566,186953018,272785358,167173056,177672193,186953016,195038121,201955805,201955798,195038117,186953013,177672191,167173054,155540538,155540537,167173053,155540541,155540540,261009566,129663568,129663569,115766835,101721777,87748942,87748941,101721775,115766832,129663583,115766846,106164128,91966023,78038885,78038886,78038903,64841854,52917140,42507748,42507747,52917138,64841851,64841852,52917141,52917142,64841856,78038907,71069253,58353017,58353016,71069252,78038905,91966043,78688945,65384232,65384233,71069263,71069264,58353031,46983500,46983475,37099494,37099495,28592449,21360504,15382277,15382278,21360507,21360501,15382275,10629993,10629994,10629996,7016559,4411949,4411948,7016558,7016564,7016565,7016562,7016563,10630001,15382285,21360520,28592466,28592467,37099519,46983502,58353035,71050401,58334549,58334550,71050403,71050423,84614501,92590212,259077228,121174944,134983091,121174938,261481345,160347698,170825502,262539698,159493715,170825503,159493680 Dl.O(d2) = 64535444,77716593,91643541,105851251,120063583,260281050,91643553,258471010,64535450,77716602,91643555,105851272,105851256,91643543,91643542,105851254,120063586,119256380,105064168,90885271,77006515,63895829,52077511,41764328,41764329,52077513,63895832,63895830,63895831,77006518,90885275,95116162,90885273,90885274,85201701,71636979,58916403,269793253,59697548,48310591,48310590,38399876,29827533,22460204,255915191,29826558,22459198,16291198,16291199,22459200,29826561,36930080,28431427,28431426,26956129,20072075,14388905,14388906,20072077,22650282,16458868,11467900,11467899,16458866,22650279,21756246,21756245,16592147,16458865,16458866,22650280,23778630,255751013,14482920,9964672,9964673,14390189,14390187,14390188,16589151,11568915,7700340,7700339,11568913,16589147,15721867,15721866,21780853,29078836,37629417,38782359,30197866,22807001,16589550,11569277,11569278,16589546,16589547,22806998,30197862,38782356,48704664,60100355,72836942,86431440,100386974,87854854,258123126,39978461,31303507,23816628,17481733,17481734,23816629,19045660,19045659,25665762,33435327,42427826,33435412,25665856,19045738,13595772,13595773,19045742,25665863,33435371,25665812,19045705,19045707,17481725,17481724,13595710,255274355,25665753,33435317,42427818,42427837,256116846,25665840,25665839,33435403,38256627,33435348,25665794,25665793,33435346,42427782,33435268,25780305,19138950,13666256,9358860,6130268,6130269,9358861,13666260,19138957,25780325,33570526,31719358,24212138,17842015,12634658,8578558,254419763,2049864,1175630,659966,365794,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636386,16426309,11627009,11627010,9689440,9689441,12637704,17846064,24216504,268229468,254784284,19654562,14088008,9690047,6373745,3999408,3999407,6373744,9690044,14088003,17049409,12839265,8731000,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029338,14091150,14195653,14195654,19817722,23392981,19654297,19654296,26388652,26391734,26391736,19820334,19820335,24106217,24106216,23390193,17118334,12029660,12029659,17118330,21104816,15159947,15159946,21104813,24210654,24210656,19148825,13673211,13673210,19148818,23113579,16854511,16854510,14096167,12031134,12031135,17120404,16913927,11837154,11837152,12029713,8087393,8087390,12029706,8863348,5777547,5777545,4647430,3161907,1850985,1850984,3161818,3161817,3161349,1850694,1056223,1056225,1850684,3161285,5181166,8086550,12028350,15466702,14904213,14904214,20797243,20796579,14903691,10247200,10247201,12031075,8088270,5962306,5962307,9112623,254297462,25312055,33039693,41983406,37306485,28772728,21511322,15501804,15501805,21511324,28772726,28772727,37306484,47213044,254877678,37306471,47213043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8438198, s2 = 11657243, dlinesl.size( ) = 32 s1 = 9692823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9692823, s2 = 14313265, int(edited[s2]) = 0 s1 = 9692823, s2 = 14313265, d1 = 27, d2 = 17 Dl.O(d1) = 38134527,38134528,48048020,59439828,59439827,72178264,85772596,99041145,99041144,85116219,71545058,71545057,71545053,58816706,58816707,71545054,85116216,99041147,99041143,99041142,85116218,71545056,58816708,47430263,268620371,15655399,15655398,21695857,28978678,256412792,5299230,5299229,8226262,5314144,5314145,8242323,5462362,5462363,8455036,268066427,10439820,15136817,13011975,13011976,18330439,24821927,30400515,22996250,16757107,11710355,9811175,9811173,14277981,19935976,17324981,12199600,8230511,8172486,5274456,3228693,3228692,254582457,5321048,5280816,5280815,8172819,12143354,8209212,5280105,3233509,1896631,1516287,1516289,1516320,1516317,2626554,4384755,6978827,10579309,15317174,256311673,46873432,43070808,43070809,53549775,58359380,258048175,84638935,257664246,39052256,39052255 Dl.O(d2) = 146249008,158623314,169986072,180156579,169986063,158623306,146249005,133014859,133014860,146249007,158623305,169986062,180156577,180156580,169986064,158623308,158623309,169986066,180156581,189101941,196848992,196848991,189101940,189101939,196848990,203478171,209029309,213585978,213585979,217317756,220425658,223065500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9692823, s2 = 14313265, dlinesl.size( ) = 8 s1 = 699012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9671337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13334339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6591323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6591323, s2 = 11292434, int(edited[s2]) = 0 s1 = 6591323, s2 = 11292434, d1 = 148, d2 = 115 Dl.O(d1) = 256320535,257439363,57643492 Dl.O(d2) = 262479220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6591323, s2 = 11292434, dlinesl.size( ) = 30 s1 = 8343943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8343943, s2 = 8700189, int(edited[s2]) = 0 s1 = 8343943, s2 = 8700189, d1 = 0, d2 = 0 Dl.O(d1) = 28615236,255400518,10641657,267882834,4419052,7025667,10641662,15397220,21379282,255400520,10641660,10641659,15397215,10641661,10641662,15397219,21379280,256320553,28615257,28615258,37126391,47013520,47013498,258049733,58384757,58384756,71101574,84664852,84664853,98588524,84664861,84664860,71101591,58384785,47013524,47013523,258049739,58384789,58384790,71101597,84664879,84664873,71101593,58384788,58384787,61708401,74491084,88103293,98588538,112582446,126451086,126451091,139823594,152539869,164402051,166369549,154652717,142008775,128646027,128646028,257030274,147429536,134216910,120382878,258527344,257307242,269636044,91981864,78055190,64857956,52932119,42521270,254974764,19107569,25741075,26962468,35042752,35185041,29131384,29131385,29076046,29076047,37626845,29422182,26926718,21777941,21312370,21312368,17943035,17943034,20048760,14363005,14363003,20048756,26934961,29422255,267767244,38783602,30199237,30199240,33149945,25409468,18818660,18818659,15562968,15562967,21588633,28862830,37404288,47313479,58702954,71434916,85008120,98933916,112923424,126777950,140128416,152822860,164659552,262272956,193296915,263183046,263573968,193296929,193296930,184962508,175418032,175418031,184962491,175418013,262748808,175418041,164659572,260636998,126777953,112923425,112923426,126777954,140128426,152822873,164659578,175418050,184962523,273136890,175418010,175418011,262748806,262748818,175418025,164659558,261760026,262748816,262748822,195398380,193296936,184962517,175418042,175418043,184962519,193296917,193296927,184962504,175418030,261213192,152822863,164659560,262272958,272227144,152822858,164659550,175418011,184962488,193296911,200450547,200450537,262748802,175418005,164659547,152822856,140128408,126777946,126777947,262187499,175418007,184962483,193296908,200450541,200450572,200450557,200450558,206492951,263926266,263926264,263183044,184962509,175418035,164659568,152822868,140128421,126777952,112923425 Dl.O(d2) = 28615236,255400518,10641657,267882834,4419052,7025667,10641662,15397220,21379282,255400520,10641660,10641659,15397215,10641661,10641662,15397219,21379280,256320553,28615257,28615258,37126391,47013520,47013498,258049733,58384757,58384756,71101574,84664852,84664853,98588524,84664861,84664860,71101591,58384785,47013524,47013523,258049739,58384789,58384790,71101597,84664879,84664873,71101593,58384788,58384787,61708401,74491084,88103293,98588538,112582446,126451086,126451091,139823594,152539869,164402051,166369549,154652717,142008775,128646027,128646028,257030274,147429536,134216910,120382878,258527344,257307242,269636044,91981864,78055190,64857956,52932119,42521270,254974764,19107569,25741075,26962468,35042752,35185041,29131384,29131385,29076046,29076047,37626845,29422182,26926718,21777941,21312370,21312368,17943035,17943034,20048760,14363005,14363003,20048756,26934961,29422255,267767244,38783602,30199237,30199240,33149945,25409468,18818660,18818659,15562968,15562967,21588633,28862830,37404288,47313479,58702954,71434916,85008120,98933916,112923424,126777950,140128416,152822860,164659552,262272956,193296915,263183046,263573968,193296929,193296930,184962508,175418032,175418031,184962491,175418013,262748808,175418041,164659572,260636998,126777953,112923425,112923426,126777954,140128426,152822873,164659578,175418050,184962523,273136890,175418010,175418011,262748806,262748818,175418025,164659558,261760026,262748816,262748822,195398380,193296936,184962517,175418042,175418043,184962519,193296917,193296927,184962504,175418030,261213192,152822863,164659560,262272958,272227144,152822858,164659550,175418011,184962488,193296911,200450547,200450537,262748802,175418005,164659547,152822856,140128408,126777946,126777947,262187499,175418007,184962483,193296908,200450541,200450572,200450557,200450558,206492951,263926266,263926264,263183044,184962509,175418035,164659568,152822868,140128421,126777952,112923425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8343943, s2 = 8700189, dlinesl.size( ) = 2 s1 = 8343943, s2 = 8700189, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8343943, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7609636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8178047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1788453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8122013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9096639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2147201, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6591532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6591532, s2 = 14163683, int(edited[s2]) = 0 s1 = 6591532, s2 = 14163683, d1 = 1, d2 = 3 Dl.O(d1) = 256322369 Dl.O(d2) = 268412335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6591532, s2 = 14163683, dlinesl.size( ) = 2 s1 = 6591532, s2 = 14163683, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6591532, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 2147727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8060375, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10335499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10335499, s2 = 9701643, int(edited[s2]) = 0 s1 = 10335499, s2 = 9701643, d1 = 78, d2 = 67 Dl.O(d1) = 258053421,84724796,98654633,112650811,112650430,98654219,84724291,71154659,58433277,258677647,98654221,112650451,98654631,84724831,71155252,58433800,58433801,71155251,258677757,98654633,112650808,260525217,98654653,84724818,71155243,258677749,98654655,112650824,126515108,260525271,112650976,126515206,126515201,112650940,112650939,112650828,260525229,139880296,261103449,112650822,112650821,260525244 Dl.O(d2) = 41993097,41993098,52332365,64182514,77329806,86084385,72486918,72486919,86084387,100047179,100047177,100047178,114073654,127953812,127953813,141313571,153984048,273635082,263166089,264215394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10335499, s2 = 9701643, dlinesl.size( ) = 44 s1 = 9332513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6747649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6747649, s2 = 13372878, int(edited[s2]) = 0 s1 = 6747649, s2 = 13372878, d1 = 24, d2 = 39 Dl.O(d1) = 258042222,47065519 Dl.O(d2) = 71163664,77867712,64677688,258420567,64677689,64677690,77867717,91790378,105985085,105985107,105985088,91790380,77867719,64677696,64677697,77867722,64677698,64677699,77867704,77867718,77867745,64677726,257213163,25609577,18996821,13556842,13556843,18996823,25609580,33374371,33374370,42363236,42363247,42363210,33374350,33374349,25609600,25609599,25609557,18996812,13556837,9281354,9281353,13556836,18996810,25609553,256656871,33374363,270917492,52762770,42363275,42363274,42363226,33374361,33374362,33374355,256656873,33374421,25609602,25609603,33374423,42363208,33374346,255675421,255675419,33374345,42363206,42363276,42363277,52762773,64677719,64677718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6747649, s2 = 13372878, dlinesl.size( ) = 28 s1 = 6591829, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2149786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6637285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6637285, s2 = 11430212, int(edited[s2]) = 0 s1 = 6637285, s2 = 11430212, d1 = 61, d2 = 63 Dl.O(d1) = 256824313,28153680,28153679,36627297,46493720,258013925,84088389,90814328,76938407,63831052,257445700 Dl.O(d2) = 264228198,185850758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6637285, s2 = 11430212, dlinesl.size( ) = 24 s1 = 6953052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6953052, s2 = 14530866, int(edited[s2]) = 0 s1 = 6953052, s2 = 14530866, d1 = 70, d2 = 61 Dl.O(d1) = 260555632,151479027,261599020,258619690 Dl.O(d2) = 46305687,57645589,70336029,83861156,97719835 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6749180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6749180, s2 = 418832, int(edited[s2]) = 0 s1 = 6749180, s2 = 418832, d1 = 28, d2 = 0 Dl.O(d1) = 258057172 Dl.O(d2) = 10673975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6749180, s2 = 418832, dlinesl.size( ) = 30 s1 = 13213485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8067833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2151115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2152188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9675674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6975827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6975827, s2 = 8016148, int(edited[s2]) = 0 s1 = 6975827, s2 = 8016148, d1 = 28, d2 = 46 Dl.O(d1) = 260848078 Dl.O(d2) = 255837784,21454613,15455833,10686485,10686486,15455835,268072340,15467221,268385017,37257050,37257049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8068167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2153784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2153784, s2 = 15103184, int(edited[s2]) = 0 s1 = 2153784, s2 = 15103184, d1 = 2, d2 = 6 Dl.O(d1) = 58560490 Dl.O(d2) = 268615375,21475500,21475501,268385223,37265360,31408908,23918743,17577063,12405190,8383956,5410315,3325890,3325893,5410326,6061116,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,10560224,13515368,13515365,15255766,10525030,6941411,6941412,10525035,15255779,17165107,12068877,12068876,15266025,10533575,10533576,13374870,10568840,10545296,10545297,8108270,5194821,5194823,8108278,5195527,3170035,3170034,5195521,8109400,5395438,5395437,6974336,6974338,8376895,8376892,10926299,10926300,9262824,6066857,6066859,9262827,13532168,13532166,15263639,10531463,6945456,6945458,9253878,13522309,15474591,21266431,21266430,28483348,25554602,18941660,18937284,18937286,21258125,15468130,15468131,10697775,7067554,7067555,10697777,12052526,13517382,18954065,18951865,13515278,9248019,6056713,3789831,3789830,6056710,9248012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2153784, s2 = 15103184, dlinesl.size( ) = 2 s1 = 2153784, s2 = 15103184, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2153784, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1117370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9103138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2156195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2156195, s2 = 7984393, int(edited[s2]) = 0 s1 = 2156195, s2 = 7984393, d1 = 6, d2 = 21 Dl.O(d1) = 58616568 Dl.O(d2) = 28778817,21515941,18849572,254921247,6009791,3758840,3758839,6009789,9182109,13429968,17686843,24038538,24038573,17686879,12508818,8473966,255579683,31541795,256310203,28479363,28475358,21255797,15306190,10570047,10570046,8108206,5194787,3169663,1855712,1059143,595590,595592,1059147,1855717,3169671,5194805,7185052,7185051,268076471,15300799,10565171,6968475,4377847,4377848,6968457,10565136,10842536,9247327,9247326,254596512,17666176,17576733,12404882,12404883,17576734,15262234,15262233,18973074,255537723,17159662,21878039,17153540,12056960,8106467,5193788,5193789,8106468,12056964,9252881,254595422,18957404,25567702,30857915,23426377,17148600,17148599,21247874,21247873,15286135,15286134,270803325,258696868,52411136,257783113,77416497,260543108,37019062,37019063,29490754,29490753,29490480,254682604,11131808,7384000,7383999,11132083,16032447,14405141,254466698,26980620,29490298,38054139,31395042,23901643,17557176,17557178,23901648,18933160,13497730,9234550,9234551,13497732,18933163,23597743,31081094 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10333123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7962000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7962000, s2 = 10722686, int(edited[s2]) = 0 s1 = 7962000, s2 = 10722686, d1 = 53, d2 = 45 Dl.O(d1) = 259277556,21952048,21952047,29275765,29275824,37842571,46905764,37842229,29275522,21951825,21951826,29275525,29275566,29275888,21952146,18044091,12791099,12791098,10993558,9934596,7277487,4589529,2761212,1600669,1600667,2761205,4589517,7277464,10993501,15861220,10993570,10993568,10993471,10993472,15861163,21951798,29275478,37842185,36822796,28530579,21308082,15861345,15861344,21117127,15338205,15338206,21308077,28530571,21952003,21952005,29275728,28327131,28327133,36822733,46705514,47764870,37842419,29275702,21952044,18534339,18534340,25077427,21951763,15861138,10993457,10993458,15861143,15861253,10993523,7277478,7277479,10993489,7277458,7277457,10993486,15861195,15861322,10993561,7277509,7277510,10993481,10993479,15861176,21951815,21952012,21117170,15170776,10463061,6896976,4329428,4329427,6896971,10463052,15170763,21117146,28327183,29275826,256370419,47764908,47764907,37842358,31238556,31238555,28327167,21951784,21951783,29275465,21951821,21951820,29275509,37842213,47764906,37842371,29275645,21951921,21951920,29275642,37842367,47765035,37842471,37842472,42041514,42041513,52385585,47765156,37842482,37842483,47765093,47765094,47765003,37842331,36822676,28327097,28327096,36822671,46705423,58077564,47764934,37842243,29275532,21951833,21951834,29275535,37842248,39913966,49932181,47765129,47765128,59164020,70795079,58077703,58077704,59163810,71901940,258726385,47765175,39913956,39913957,49932174,59163938,71901975,71901973,59163849,47764950,37842263,37842262,47764779,59163718,71901846,71902341,59164200,59164201,71902344,61410746,59163838,257492677,37842647,37842646,37842652,47765322,39913961,31238552,29275750,29275749,37842470,47765137,59163914,47765009,37842336,37842337,47765012,59163922,61257785,61257783,74037725,87641183,77718979,71902279,71902281,259351555,113430492,113430491,113430562,99428541,99428542,99428614,112238910,113430529,125974541,113430527,99428493,259969671,105854018,259351577,71902182,59164041,59164042,61257767,49778976,257630717,74037703,87641157,88132782,100690684,100690685,105854012,113430744,115648257,128642006,114740614,100690660,86714414,84942792,259067302,112857582,126709644,127289572,260906082,129533331,261121566,87641155,98869451,84942704,84942703,269841486,86561066,100522734,91646197,77718988,77718987,91646193,259524043,88132631,88132698,74520520,74520521,88132702,88132736,88132735,102120590,104990373,113430780,99428794,85487255,85487254,88132720,88132670,74520497,61738710,50260224,50260219,61738705,258697522,48973677,48973680,269834537,86714383,98934570,98934569,112924034,126778557,126778563,112924043,98934586,85008823,71435680,58703802,47314526,47314525,47314530,47314529,58703806,71435685,71435683,71435684,63828933,63828932,270282231,98236429,112214733,112866846,259456514,71378936,58643076,58643077,257456467,37340469,37340468,47250236,58643025,58629326,47236397,37327375,28790871,21526592,21526594,28790872,256875437,58629335,256945340,37327456,37327457,47236534,37327507,37327506,28790960,21526639,21526641,28790936,37327487,37327515,28790954,21526636,15514253,10729844,10729843,15514252,21526634,28790951,37327493,47236577,58629585,71366283,71366282,258690577,58629384,258066247,271337664,256875445,37327454,47236529,58629527,47236733,47236734,58629783,71366570,71366499,58643062,258067389,257455315,47236527,58629525,71366290,258066287,58629523,47236526,47236525,58629521,58629663,268923229,28790970,28790971,37327544,47236652,58629669,71366429,84943057,98869707,84943060,84943061,84943072,98869724,98869727,84943202,71366554,58629765,58629764,58629862,58629863,71366536,71366401,58629635,58629632,58629631,47236630,47236629,58629644,71366352,58629591,47236583,47236582,58629542,58629541,71366301,59689938,58629749,47236713,37327588,28790995,21526659,21526660,28791002,37327601,47236740,58629695,58629696,58629568,58629567,47236648,47236646,58629653,71366313,71366312,84942934,98869608,112857626,98869719,84943070,84943069,84943268,84943267,98869810,258246456,71366346,257455327,257455325,71366344,84942956,84943219,98869867,112857768,112857736,98869806,84943148,71366496,58629768,47236727,47236728,58629772,71366563,84943214,98869636,98869637,107633986,98260980,98260981,98260987,84353584,258275366,46705447,46705446,58077605,70794975,84353580,258868946,86017203,271340449,126093617,126093615,114000950,99977041,86017207,86017205,99977037,271807525,112238867,112238868,126093623,139463633,126093610,112238838,98260941,98260942,102092507,88106021,86017216,72420557,59685491,59685492,72420563,86017220,99977052,257083430,84353625,84353626,257083428,86017053,84353566,70794955,58077615,46705451,36822690,36822689,46705449,58077611,70794987,84353601,98261004,86017180,86017178,88106010,74494221,270390369,114000747,99976832,99976831,99977048,112238894,269877882,59685464,70794999,70794998,84353610,98261020,102092499,116149588,114000788,99976876,86017063,258252442,59685376,72420412,86017025,86017024,86017183,74143390,61362784,61362783,72420361,70794944,70794943,84353551,86240508,72637829,59895985,59895984,72637827,269868698,88133154,88133155,88133135,258650829,46705474,46705473,49881235,49881236,258246417,74143261,74143262,87747765,88133090,74520912,74520911,86017059,86017060,74143250,61362664,49881165,49881166,61362669,74143256,84353667,74143357,74143356,258246460,258246458,61739146,50260598,50260565,49881232,39858262,39858263,269394373,258843446,59895976,48502193,48502194,59895979,72637823,86240504,258968594,257730114,40241072,31554901,31554903,34108368,43194624,53706356,65763302,79119341,72637859,72637858,74143378,74143377,76006342,74520785,61739009,50260498,40241031,40241029,50260493,258277639 Dl.O(d2) = 116111025,102053292,88067871,88067870,88067867,88067866,102053288,116111022,116111032,260904938,116111025,116111024,116111040,130020814,116111039,116111038,261302583,261302585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7962000, s2 = 10722686, dlinesl.size( ) = 2 s1 = 7962000, s2 = 10722686, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7962000, Dl.E( ) = 54, 3.19e-05 seconds used appending s1 = 9446437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6855767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6855767, s2 = 11494076, int(edited[s2]) = 0 s1 = 6855767, s2 = 11494076, d1 = 13, d2 = 32 Dl.O(d1) = 259318721 Dl.O(d2) = 265703589,224613311,224613312,226690786,265009868,222705049,219987394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6855767, s2 = 11494076, dlinesl.size( ) = 2 s1 = 6855767, s2 = 11494076, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6855767, Dl.E( ) = 34, 1.6e-05 seconds used appending s1 = 2157963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1800458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1800458, s2 = 8292232, int(edited[s2]) = 0 s1 = 1800458, s2 = 8292232, d1 = 8, d2 = 8 Dl.O(d1) = 256335539,255843597,15524045,254738289,7093664,10736510,15524043,21540127,22579304,29942444,28807205,28807206,37345334,47254717,58646977,71382550,84957676,90538101,84957678,71382552 Dl.O(d2) = 256335539,255843597,15524045,254738289,7093664,10736510,15524043,21540127,22579304,29942444,28807205,28807206,37345334,47254717,58646977,71382550,84957676,90538101,84957678,71382552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1800458, s2 = 8292232, dlinesl.size( ) = 2 s1 = 1800458, s2 = 8292232, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1800458, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 6592876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8410992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8410992, s2 = 11185872, int(edited[s2]) = 0 s1 = 8410992, s2 = 11185872, d1 = 5, d2 = 6 Dl.O(d1) = 264205953,211718091,212599955,207806022,201990107,195074894,186991448,177711447,167213208,155581121,143030597 Dl.O(d2) = 115800161,259448246,87779997,74175158,61394630,61394629,72121753,61394633,49914323,39894295,31217053,31217052,39894292,37541055,28995783,28995782,30730958,39329306,33320716,33320717,34666040,26672897,19855860,19855859,22214035,16082410,16082412,17399058,12261566,8280669,5342597,5342594,8280666,12261562,17399052,15333360,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983227,7902284,7902286,11824580,12385499,17556124,17549846,16801317,14543450,11244824,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788894,3788898,6054861,8602171,8602173,11619039,12380344,12380402,8373428,8373427,12390777,17150002,17150001,23427520,18950218,18950219,23734542,17409819,12269379,8285382,8279584,5407048,254596235,12397712,17569519,17391781,12255974,8277173,8277172,12255973,17391675,17405065,267823612,5343925,3284358,3284359,5343927,8283288,10383089,10383090,15057400,16017175,16017172,22132493,17548065,17548064,23894108,23047483,255023616,11748504,16238593,11289496,11289495,16238591,16110568,11190505,7425009,4691960,4691962,7424999,4691995,2827103,2827106,4692014,7425101,11190663,9206720,6027480,3770824,2259338,2259337,2522401,4218933,6733925,4316815,2581798,1487471,841652,841653,1487475,2581807,4316831,6876820,10430904,15123015,21054130,28254879,22248307,16110701,16110702,22248308,256393735,48076646,59467330,58685508,47294705,37385522,255412602,21573664,15550604,10755170,254504704,7096543,10740839,15530160,21548106,21548107,28817042,37356507,47266333,58658054,58658055,71393090,84967846,98893628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8410992, s2 = 11185872, dlinesl.size( ) = 2 s1 = 8410992, s2 = 11185872, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8410992, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14541740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14541740, s2 = 10497204, int(edited[s2]) = 0 s1 = 14541740, s2 = 10497204, d1 = 0, d2 = 5 Dl.O(d1) = 39277536,30680539,23263919,17000326,255526343,25465013,23263899,21356939,15379642,10627991,10627990,15379640,20076015,14393567,254888172,6506627,9899842,14393565,20076014,17000438,255045548,30680736,39277696,47206217,256341328,256947080,47279080,47279081,58670320,71404492,72111963,59379213,59379212,258742229,59379215,47988948,47988947,38076168,38076169,47988937,38076154,38076155,47988939,258118655,269977614,257174670,59309467,57698489 Dl.O(d2) = 264253968,207418155,201536093,264535239,264535240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14541740, s2 = 10497204, dlinesl.size( ) = 2 s1 = 14541740, s2 = 10497204, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14541740, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11656742, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7969257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7969257, s2 = 11008018, int(edited[s2]) = 0 s1 = 7969257, s2 = 11008018, d1 = 57, d2 = 54 Dl.O(d1) = 7105534,4473497,2687605,1556771,885046,885047,1556774,2687608,4473503,7105544,10755160,7105548,7105549,10755168,254160404,7105594,10741464,7096909,4468345,2684522,1555053,1555054,267768044,884127,498871,498872,884130,1555051,2684516,4468338,7096900,10741437,255042543,7104644,7104643,4473219,4473218,7105052,10754369,10754368,268210205,4472958,2687289,1556602,1556603,2687291,4472962,255412521,15548412,10753678,10753677,15548410,10753679,10753680,255042536,255042534,7104665,4472998,4472999,7104667,10753736,15548475,15548486,10754673,7105248,4473330,4472940,4472941,7104589,10741471,10741470,10741469,15531131,21549527,21570844,15548403,267965549,4472965,2687295,254336981,7104619,4472979,2687302,1556609,884952,499296,279998,279999,499298,884954,1556614,1556620,1556618,1556724,885015,885014,1556722,2687513,4473333,7105254,10754684,15549883,21572708,256337121,21570871,15548439,15548438,15548442,10753713,10753712,15548447,21570841,21570842,28842074,21948694,15858885,10991971,10991970 Dl.O(d2) = 11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,593917,331088,182315,100015,100019,182334,254179141,3162336,5183274,8090414,12034498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7969257, s2 = 11008018, dlinesl.size( ) = 12 s1 = 6750561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2161069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2161069, s2 = 6702079, int(edited[s2]) = 0 s1 = 2161069, s2 = 6702079, d1 = 20, d2 = 110 Dl.O(d1) = 58701666 Dl.O(d2) = 257516487,38168440,256936272,7426571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2161069, s2 = 6702079, dlinesl.size( ) = 40 s1 = 6600184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658260, s2 = 4739545, int(edited[s2]) = 0 s1 = 11658260, s2 = 4739545, d1 = 7, d2 = 15 Dl.O(d1) = 38815289,30232059,29826890,22851802,16626871,11597745,7720277,4886444,4886445,7720275,11597742,11597744,255117487,22851800,30245976,38829344,44406856,257306267,26951382,20066778,255326053,9888270,6497219,4071219,2436124,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,4534081,2725525,2725527,4533242,4534052,7196813,4979542,4979540,3007949,3007950,4979559,4062589,4062587,4500257,4500258,4062523,4062522,6483156,4971719,4971720,7832300,255127701,255955589,28869134,256339115 Dl.O(d2) = 58707624,71439056,85011861,98937409,98937410,112926798,126781361,126781362,112926800,112926799,126781364,140131829,262187807,175421202,184965651,193299969,200453634,206496031,211491135,215573210,218946842,221793860,224235554,226352410,228196266,274593657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658260, s2 = 4739545, dlinesl.size( ) = 2 s1 = 11658260, s2 = 4739545, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11658260, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 1804554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8609979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1805135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6549287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8210223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1805726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1805953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1805953, s2 = 10505424, int(edited[s2]) = 0 s1 = 1805953, s2 = 10505424, d1 = 12, d2 = 24 Dl.O(d1) = 47345271 Dl.O(d2) = 37368842,36774338,28278513,28278512,36774337,268387150,28235620,28828747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1805953, s2 = 10505424, dlinesl.size( ) = 20 s1 = 2163460, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1454615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1454615, s2 = 16372379, int(edited[s2]) = 0 s1 = 1454615, s2 = 16372379, d1 = 1, d2 = 21 Dl.O(d1) = 37443709,47350339 Dl.O(d2) = 130176499,143507516,130176503,261133742,116336669,116336666,102241286,102241287,116336668,102241285,88242598,88242597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1454615, s2 = 16372379, dlinesl.size( ) = 40 s1 = 13226585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13226585, s2 = 4740366, int(edited[s2]) = 0 s1 = 13226585, s2 = 4740366, d1 = 10, d2 = 9 Dl.O(d1) = 58738955,47351273,37444688,28905312,21630979,21630980,28905314,37444691,47351277 Dl.O(d2) = 193324273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13226585, s2 = 4740366, dlinesl.size( ) = 2 s1 = 13226585, s2 = 4740366, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13226585, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 13265579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13265579, s2 = 13234079, int(edited[s2]) = 0 s1 = 13265579, s2 = 13234079, d1 = 75, d2 = 51 Dl.O(d1) = 39207555,38082869,29518294,22176128,22176127,29518291,29519365,29519363,38084042,38078234,256294206,22172296,23308861,17047372,17047371,23308858,30726605,39324367,38076145,29511729,22170636,16047009,16047008,22170633,29511725,38076143,47988924,47998753,47998754,49098913,39168710,30570738,23153201,22176916,22176915,29519355,33446691,29346478,29346479,37851027,29283096,29283097,37851033,47774110,49250758,39324355,30726595,23308849,256190084,24973843,18453613,18453614,24973846,32645428,41533123,38076078,38076077,47988845,59379134,65744627,53688018,46782081,36904315,36904316,46782083,53688006,53688007,58130785,58130786,70845214,59384751,59384750,60455830,59379152,47988865,38076094,29511688,29511689,38076098,47988867,59379154,53687949,43177148,43177149,257383725,36432062,34093108,34093107,38076075,47988842,257865346,37451775,37451774,256386433,29511685,36813197,46696199,47358251,43177218,37451793,28912196,28912197,33486513,25711710,25711711,28912174,21637573,21637574,28912176,37451767,33486509,33486508,37451749,37451748,47358237,58068537,46696188,36813184,36813182,46696186,52888864,42482281,33486523,28317141,28317142,28912223,37451830,47358279,37451787,28912192,21637586,15605747,15605748,21637579,15605744,10796583,10796582,15605740,21637570,28912167,36813290,28912227,28912226,23106700,16848678,11782804,11782805,16848681,23106704,30524196,36813354,37597867,36813239,28317044,21106845,15161523,10455884,10455883,15161521,21106844,25711706,19083915,13624962,13624960,255682197,21106818,21106819,28317003,30524187,30524188,37451818,47358304,256341533,21637617,21637619,28912242 Dl.O(d2) = 15388891,10635075,10635074,13798814,12815841,8713595,8713597,7012860,7012859,10625290,12113003,8144499,8144501,12113010,13221257,9180569,9124402,5970677,3733862,2235552,2235554,3733870,3649713,2237900,1297789,1297791,2237908,3737839,5977068,9133695,9133779,9133778,13364833,18768503,25350239,30815989,30815990,39421209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13265579, s2 = 13234079, dlinesl.size( ) = 2 s1 = 13265579, s2 = 13234079, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13265579, Dl.E( ) = 94, 3.19e-05 seconds used appending s1 = 14163776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1970432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1970432, s2 = 9732523, int(edited[s2]) = 0 s1 = 1970432, s2 = 9732523, d1 = 2, d2 = 26 Dl.O(d1) = 50886763,50886764,60172146,48777690,38857548,30273131,22875956,16647662,16222679,16222677,17777362,256037971,33547401,37456903,47362969 Dl.O(d2) = 86533246,86533244,72934931,256128360,38876560,30290728,30290727,28728078,21470905,15468706,10696105,7066309,7066306,10696095,15468911,21471207,28728468,28728495,30013163,22641439,16451878,16451879,22641441,30013165,31080845,35168244,255664440,27977623,36436320,46289307,254921640,28728046,254650018,25459706,18859875,13437330,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,23316308,17052567,11962631,8007765,5097742,5097743,8007770,11962637,17052582,23316343,25459587,18859791,18859790,268492771,39332316,30734374,30733039,27977712,20814190,20814189,23314285,17051158,11961749,8007308,5097521,3094097,3094098,5097527,8007321,11961780,17051204,23314359,30733358,23316040,17052398,11962535,11962537,17050991,11961669,8007257,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1970432, s2 = 9732523, dlinesl.size( ) = 2 s1 = 1970432, s2 = 9732523, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1970432, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 9372744, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13600387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8116062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13255437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6536122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8535461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2167976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2167976, s2 = 13540376, int(edited[s2]) = 0 s1 = 2167976, s2 = 13540376, d1 = 17, d2 = 38 Dl.O(d1) = 58805651 Dl.O(d2) = 19801642,26609386,34596473,43866874,268445802,66867703,66867702,80296939,94353380,108641192,94353387,80296945,66867709,66867708,80296941,94353382,258280290,108641188,108641189,94353384,94353383,80296947,66867711,255582478,43866874,268445802,66867703,66867702,80296938,94353377,108641189,108641196,122906038,136737977,136737986,122906045,108641201,94353387,80296945,80296944,66867710,255582478,43866874,268445802,80296940,66867711,255582478,43866874,268445802,66867703,66867702,80296939,94353380,108641192,94353387,80296945,80296943,94353386,108641199,122906044,260141734,149879690,162092363,173193199,183045417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2167976, s2 = 13540376, dlinesl.size( ) = 12 s1 = 2168047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2168047, s2 = 1810584, int(edited[s2]) = 0 s1 = 2168047, s2 = 1810584, d1 = 9, d2 = 16 Dl.O(d1) = 71535591,58806520,47838833,37917729,34650114,34650113,255697042,269103094,99031250,113018995,126870934,114829264,114829265,260274934,259706882,126870933,271082448,272408161,272030691,134987912,260322817,106912631,121179349,134987915,148110212,160353392,262964866,121179348,273254561,262508722,148110210,272731527,274240557,225644626,265804139,266066609,266387245,236321924,237150510,237905109,266560172,235414687,274652597,266182491,234420397,235414684,274739159,237150513,237150512,237905113,238590501,266830657,266830658,237905111,238590499,266936867,241281362,274909681,240821841,266984479,241707309,267144367,242100665,242100664,242100663,242463893,267177523,242801305,242463888,267144365,267208805,242801308,267109118,242100662,274930831,243408164,243681664,243408162,243114566,267204266,243637166,243895773,244136698,244172654,267264658,267208806,242801314,242463897,267208809,267172824,243062817,242747108,242407964,242042666,241645947,266878158,240751995,241216136,266878156,240250980,239710374 Dl.O(d2) = 235457586,266563507,266708941,239243728,266888314,274764275,266708943,239243730,239818449,239818448,239243726,238619065,237936217,237185146,237185145,274787001,266888313,238619071,266638829,266481301,266481303,274787003,266481306,229375235,265946907,265662461,223624574,221107128,218163476,265125611,265662459,229375234,266071576,225805393,274323373,214654625,210387022,205165504,205165503,210387019,214654622,218163475,265322003,225805388,265810857,225805380,223624566,223624567,225805382,227707144,227707146,265500801,223624569,225805384,274497493,229375238,227707153,225805392,274323373,214654625,210387022,205165504,205165503,264909057,221107125,265321999,218163471,214654620,210387016,264109685,198860849,205165502,274066493,218163473,265322001,225805385,265500802,214654629,264404481,273952303,273819895,191415956,191415955,198860851,205165505,210387024,264909059,221107129,223624576,221107131,265125612,205165508,264404479,210387027,210387029,273952304,263001155,161707623,149416445,262051915,273665444,262546659,261518269,122203926,107798783,93376803,79249630,65885941,53817975,53817976,258476375,93376806,259344694,258719092,269330238,71535589,257485062,93376804,107798785,122203929,272035362,99031227,113018968,258719094,85106755,256363396,255433766,21686166,21686167,28968101,37511463,47419233,58806521,71535593,60598636,60598635,257885986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2168047, s2 = 1810584, dlinesl.size( ) = 2 s1 = 2168047, s2 = 1810584, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2168047, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 2168104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7999751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7999751, s2 = 8506206, int(edited[s2]) = 0 s1 = 7999751, s2 = 8506206, d1 = 56, d2 = 58 Dl.O(d1) = 258141186,13552031,9277559,6077038,6077037,4349483,4349482,6923454,8095875,8095876,5526723,3412997,3412995,5526717,8528278,12574339,17768623,19082947,254934241,9329334,255047976,19022472,13577534,9296556,9296558,6124607,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,19042498,21605454,24251227,22432138,16264602,16264601,22432136,255592176,12656570,12656569,17865997,17865996,12651998,12651999,257683103,28632472,267844668,4354227,2608121,2608123,4354231,4731235,5134791,8044742,5162355,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5116630,3107843,3107840,3150802,5168674,7525041,11328521,11981207,254403224,5163437,5145948,3130930,3130931,5145951,8046549,8046550,5142252,3128043,1828622,1828623,3128044,3112385,1818768,1818769,3112387,5122646,3120437,1826029,1042301,1042299,254256879,5137399,8047347,11969297,8025885,5114985,3106614,1815243,1036526,583922,326324,326323,583920,327459,180649,180643,181911,99824,55076,31079,31078,55070,99816,181899,330271,524264,524263,930125,1053552,592397,330276,293805,162487,89316,49123,27477,27476,49119,89310,162471,293770,524216,267766189,1033813,1810059,1844680,3139108,5155389,8062585,8075712,8026012,5133325,5133324,8035775,8079739,5175099,5175100,8066956,8072979,8072978,12014580,17073889,17064351,11973030,8018055,8018054,5156547,3140124,3140125,5156549,8063458,8057901,5149426,5149425,5124683,5124684,5131568,7521241,4755351,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1866764,3189885,3189953,1866984,1064982,598573,598575,1064989,1867002,3190206,5228412,5126400,5126401,5162548,3145559,1839973,1839975,3145566,3132386,1831195,1831193,1045088,1045086,1831219,1052165,591701,329941,329940,591697,1052154,1843849,1846004,1866466,3189457,5227699,8074846,12015940,11971430,8060480,8050605,8050604,11996846,11815693,11815692,8051659,5142314,5109829,5109830,8021062,5140942,3126898,1827933,1827934,3102697,1812841,1035212,1035214,590405,590403,1049471,1838999,3144110,5124212,3113542,1819459,1819460,3113545,5124224,5115309,3106904,3106905,3142754,3142753,5150886,5228359,5159395,3142755,3116942,3116941,2866826,1663917,946691,533835,533833,328529,328532,588608,588606,590255,590254,1043595,1828440,3127746,2819981,254178573,591216,329716,329714,591213,1051166,1842034,3106967,3106965,3107627,254242551,1690362,2913968,3152637,4657623,2805900,2805899,3194066,3194067,5129039,8038787,8048547,5159334,3142701,3142702,5159337,8027177,5116318,5110911,3103458,3103459,3142973,1838245,1838244,1846958,3118864,1822825,1040525,1040523,1822817,1040607,1040606,1822990,3119125,5114250,8025143,11977863,12008916,12008917,16287234,254379248,11326032,7522486,254088122,11904571,11326140,7522559,7522560,11326144,7990872,5086076,5086075,5069087,5069086,7523356,7523359,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,7527934,11330727,11329998,11329999,16287359,22455587,23230955,23107806,254508038,11999574,254508040,15652595,15652594,268620276 Dl.O(d2) = 256312053,255822942,254728452,21281211,15331763,15331762,21299722,21283734,21283733,21299793,28501857,21283720,15320239,15320238,21283715,21299732,21299731,28520227,37018363,36996409,28498960,21299063,15331305,15331304,15331958,15318442,10580213,10580210,15318434,21281263,28498544,21280886,21280888,28498548,28502281,28499002,21281293,15318458,10580222,6979502,6979501,10580218,15318451,21281281,28498995,36995904,28521013,28498988,28498986,28520420,36996417,28498965,28498966,36996361,46874982,46873844,36995057,28497593,28497594,28501738,254728738,15320542,255027902,28502260,28520945,28498791,21281123,15318347,10580150,6979477,6979478,10580156,15318353,10589223,10589221,267763838,10579714,10579715,15317505,10579579,6979040,6979039,10579577,15317503,15317644,10579671,6980503,4386011,2627454,2627452,4386005,6980491,6985321,10589214,10585756,6983224,4387823,4387822,6980688,6980689,10580519,6979725,6979724,10580513,10580551,6985279,4389266,2629789,2629790,4389273,6985289,10589169,15331905,21299883,26964520,26964521,28514196,21293247,254332406,16204672,16204673,16204676,11264734,7478142,4726177,4726176,7478139,11264729,16204666,16264237,13568345,13568349,19011052,25625791,29080705,33384475,42373509,38613530,36502707,36502708,41760369,270363002,259633797,119250154,133080090 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13355353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13355353, s2 = 3887578, int(edited[s2]) = 0 s1 = 13355353, s2 = 3887578, d1 = 41, d2 = 15 Dl.O(d1) = 32752704,267833724,54640671,48446956,48446955,54640575,48931592,47431404,47431403,58817775,58817774,71546156,66898101,54640675,43897532,43897533,46923463,46923462,58289250,257403420,66897975,66898034,66898036,54640612,43897465,34625364,34625365,43897466,54640613,59352685,59352684,72085869,73225050,73225049,80325712,80325711,85672135,99620664,89777138,85672138,85672139,98183786,84287867,70736007,58021360,268633936,38887115,48809511,50506922,50282495,43040584,43040585,38992685,38992684,48916349,255895174,60314567,60314565,48916359,38992690,38992689,48916357,256050782,60314571,72242301,59507694,59507695,51793163,41515909,41515910,51793164,268084148,73055249,73055248,73055269,71286666,71286665,74545575,74545576,71198837,58477120,53260018,42806951,42806952,53260020,65249628,78539773,255457184,48120178,38209730,38209731,48120180,59507703,72242306,85834290,268941804,107400265,92989832,78878158,255457188,60314561,60742962,49339756,268401460,73492059,87110850,101108963,92989834,92989833,98789569,98789575,255518062,72085868,84861179,72242299,59507693,255457182,72242309,59507701,59507700,48713985,48713984,60109052,53518936,43040582,43040580,53518933,65249621,53260013,42806949,42806950,256859448,26143301,26143302,33983067,43040593,53518954,65543011,70736004,84287864,98183785,99993227,269366742,257513590,53518949,65543000,78878161,92587402,92587385,92587386,100631702,92587335,78539735,65249581,53259987,53259988,65249583,78539719,78539718,78878143,78878144,92587355,85666061,78539728,256432336,42806929,42806930,53259980,65249563,65249564,73306672,60563086,49163323,254788958,65249674,65249547,53259955,42806911,42806910,53259951,65249542,78539701,65249642,53260037,53260038,65249644,256975816,65249556,53259960,53259961,65249558,78539709,92587321,106906044,92587307,78539694,78539695,92587309,92587380,78539806,65249671,53260059,42806973,42806971,254543212,53260046,65249650,73306670,73306669,73541845,60794610,49393921,49393922,53260041,42806963,33774567,33774566,42806961,53260035,53260042,65249646,65249653,65249654,78539792,78539793,78539797,72333667,72333668,72845521,72845522,86440064,99882691,99882692,85927475,78539788,78539698,78539697,92587310,268412634,65249661,53260053,53260051,65249659,78539799,92587376,100395738,91686202,79265313,79265312,78539794,78539795,72333671,59598402,59598401,255109984,65249678,53260064,48609634,48609636,59598374,48211109,48211108,48609717,48609718,60001063,72737967,72737966,86335278,72737926,60001008,48609651,38694080,30117806,22736336,254792152,38694076,48609646,38694096,38694097,48609664,60001018,72737934,85927493,72333672,59598403,48211131,38301199,29733568,22376090,22376089,29733566,38301196,48211125,59598393,72333658,72333661,85927463,72333635,59598370,59598369,60689232,255525368,73541843,63134602,255491328,86318454,86318455,85927480,72333654,60001013,53836170,53836169,50523388,50523386,62015103,62015107,50523392,40487851,40487852,50523395,62015102,74811441,84503484,76674327,63587652,51801711,41523752,41523751,46810162,269307763,255109988,32413620,32413621,41238814,51436771,53836161,43311675,43311676,49140931,40487855,31792871,31792870,40487853,50523339,43311661 Dl.O(d2) = 140147383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13355353, s2 = 3887578, dlinesl.size( ) = 2 s1 = 13355353, s2 = 3887578, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13355353, Dl.E( ) = 42, 1.81e-05 seconds used appending s1 = 10332459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163155, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13677217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8023143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8023143, s2 = 13788227, int(edited[s2]) = 0 s1 = 8023143, s2 = 13788227, d1 = 25, d2 = 16 Dl.O(d1) = 264648870,145112400,271488977,24727914,255226731,254430997,2130690,1229624,695965,390230,216500,118777,118773,216418,216421,390063,695620,1228925,2129357,3572330,5736963,8806966,8823012,5780158,3602083,3602088,5780121,7650430,4840431,2916865,1692039,962173,962082,542195,542192,962068,1691803,2916416,4839785,7649496,7648974,6029529,6029527,9209947,13467900,13481893,18912860,25522298,33282487,256161576,26435418,19696841,19696842,22853487,22853490,256443265,256604792,24483912,24483911,32049307,29603033,22253390,22253391,16672189,16672188,255473858,23713430,23713429,17898446,17558735,17165783,17165784,17577132,12405291,8384038,5410361,5410360,5410447,254596561,267910857,3325654,1955912,1955910,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,10590789,7172685,7172686,10849548,256349347,269322783,258705691,99061008,113048331,263117479,185053852,175516483 Dl.O(d2) = 265549397,265206602,27134312,23335225,23335227,30757852,39358589,49285480,53932578,268795841,14116950,14116951,13279993,9064316,9064318,10328047,6796606,4261685,4261686,6796609,10328053,14997505,12085877,12085879,15335248,10591531,10301543,8332912,5378195,5378197,3715302,3715303,5941584,4295778,4295779,4295801,2568264,1478692,1478691,882325,882323,1551942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8023143, s2 = 13788227, dlinesl.size( ) = 22 s1 = 8361720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 714295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 714295, s2 = 14355370, int(edited[s2]) = 0 s1 = 714295, s2 = 14355370, d1 = 51, d2 = 55 Dl.O(d1) = 23402627,23402628,30830725,39434898,49364161,40323089,31634166,24127508,17764556,17764559,24127511,24127473,17764539,17764538,24127470,31634117,34242694,31703867,24196325,17827125,17827124,24196322,24137848,18932002,18932003,25544893,33306718,42286840,47998386,42286830,33306705,25544871,18931989,18931988,25544869,25677087,25677088,33448055,40323057,40323058,33306770,33306769,42286834,33306712,33306713,33306733,42286857,38602084,31066838,31066837,38086363,47865296,37947014,31634165,24127506,24127504,31634163,40323041,38086561,29522048,29522050,38086563,47360756,37454701,28915500,28915501,37454703,33306722,25544897,18932005,13496685,9233769,9233770,13496689,16053271,22179278,22304771,29522047,38086557,256813178,22179342,22179340,29521967,38086459,47998508,49160744,49160743,48516836,47998540,38086508,29522002,29522000,257509671,59387268,47998446,38086397,29521927,22179318,22179319,22777912,30166820,31704023,31704024,38086453,47998502,48057692,38144526,38144528,43192676,43192675,41900076,38222541,29656573,22304800,22304801,17868986,17868984,24245405,31757187,38086625,29522100,29439463,29439461,38002555,31236669,31236666,39912119,49930604,40452045,31757176,24245399,24245398,256552059,35307424,31757171,31757172,40452037,256803740,46604946,256266816,27108581,255336297,14500647,15220736,10499200,10496713,10496712,12992719,18303846,15220295,15220299,21181146,22767239,22815557,16596863,11575191,11575192,16596868,17063222,17063209,17063208,20795023,20795024,14902495,14902496,20795026,23052731,18791131,18791132,25376167,28495344,28495246,21278011,15315840,15315841,16211375,22365092,21174766,15215387,15215388,21174772,28394559,23054890,23054888,25034033,25240180,18670507,18670508,21188071,21188034,15225491,10502367,6925176,6925175,10502360,15225481,21188017,28409412,23053313,23053314,23060003,16812297,11756448,11756447,16812290,23059993,30469207,33269659,28400951,21180383,21180384,23052721,16806780,11752656,7847224,7847223,7847420,7847419,11752981,16211359,11269116,7480703,7480704,11269120,16211364,22365076,29721267,33826749,33231488,31767811,24255683,24255684,27212450,32719750,36906743,39283391,35161614,35161613,44538357,48297918,41625792,32719696,25033088,25033087,18880874,18880875,15226964,10503396,10503397,15226970,18880456,25482973,18880756,16277606,16277605,18880751,25483312,21278277,15316008,15316007,21278275,25483507,25483506,28403114,28403113,25483482,25483481,33232091,29814964,22447146,22447145,29814959,36993000,36821430,28326152,28326151,31381001,35161762,44538517,55384767,52550864,52550865,58153947,46786438,36908793,28411418,23601553,23601554,31085719,39763965,49783267,44763028,44763027,55384774,44538522,35161766,27074899,27074900,30062457,30062456,38636458,31919752,30062438,30062435,24687224,24687225,32298257,41108680,51288515,48972524,39050829,39050827,48196765,48297925,38387604,38387603,36908803,36908801 Dl.O(d2) = 265549582,265985368,265816968,225883700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 714295, s2 = 14355370, dlinesl.size( ) = 8 s1 = 1813234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1813234, s2 = 7442218, int(edited[s2]) = 0 s1 = 1813234, s2 = 7442218, d1 = 2, d2 = 33 Dl.O(d1) = 47470046 Dl.O(d2) = 221834547,224272308,226386541,228227871,265780774,231280945,232568722,233731860,234790077,235754397,236631775,237431307,238157238,266695762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1813234, s2 = 7442218, dlinesl.size( ) = 2 s1 = 1813234, s2 = 7442218, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1813234, Dl.E( ) = 34, 3.1e-05 seconds used appending s1 = 6541938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6541938, s2 = 14907820, int(edited[s2]) = 0 s1 = 6541938, s2 = 14907820, d1 = 33, d2 = 35 Dl.O(d1) = 254962215,6408761,6408760,9746468,255313061,14593990,255762915,29372476,35336003,43866539,34596066,26608962,255446176,14183482,19801283,20281651,14552483,10013364,10013363,14552479,20281643,27209815,34578049,34578050,43850024,43866309,34595692,28777661,25380115,18795366,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281505,14936724,14936727,16375929,22552830,22552874,22552869,22799560,22799561,30189309,30425756,39014500,39014501,43866178,34595470,34595471,43866179,39909870,31233757,23750419,23750418,31233754,39909866,49928892,49929143,49929142,268298538,35397610,33653543,25849138,25849136,27208486,27208485,35333465,37778614,35333596,27208697,255445066,10012839,6581074,6581075,10012842,14551643,20280572,23749834,23187558,16921225,16921224,12566892,8522040,8522041,12566897,17759136,24120301,30607038,29213549,21899423,21899424,28020644,20853985,20853987,28020651,29392749,22062317,22062302,15957884,11075088,7343642,7343640,255072701,22062294,21206451,15240237,10513338,6932776,6932777,10513342,15240249,21206462,28430232,28430231,27210487,20282251,14552875,14552874,20282244,20785223,14897300,268195431,17424201,16602045,16602044,22822131,19797151,17023168,17023166,23282355,27157861,23282284,17023103,11938196,10964067,10964068,15820914,17921611,15235001,10509746,10509745,7029491,4421986,2653107,2653109,4421993,7029499,10646478,15403252,21386939,16878844,11808727,7887603,7887604,11808730,16600749,11577961,11577959,16600744,22820410,30212358,29028059,268621657 Dl.O(d2) = 2360176,1366562,778381,768924,437073,246768,246771,138517,138519,251040,446095,787439,1384250,2391504,3990381,6200291,6382835,4004792,2399911,1388688,789702,789705,768836,437028,437031,248930,248933,437818,247132,247131,437815,770472,1350567,2330163,2334214,1352888,771693,438362,247333,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438381,438376,441988,763948,434562,434560,763940,770625,770627,1350821,2330567,2304062,2304063,2363924,2394869,1385899,1347949,769175,769176,786301,786303,1349184,2311000,1340761,765741,435513,435514,765746,1337264,2304359,2304360,2314024,1342270,766457,435859,254114639,254208701,3862866,254664849,13750442,19244780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6541938, s2 = 14907820, dlinesl.size( ) = 2 s1 = 6541938, s2 = 14907820, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6541938, Dl.E( ) = 38, 1.31e-05 seconds used appending s1 = 8075316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9410760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10140839, s2 = 13686090, int(edited[s2]) = 0 s1 = 10140839, s2 = 13686090, d1 = 41, d2 = 46 Dl.O(d1) = 2816950,1634241,1611339,916747,916746,1611336,1919267,1902992,1902994,1904867,1904863,3245356,254391457,1879015,1071957,1071956,1083916,608759,608757,1083915,1077512,1077516,1888426,1883502,1883503,1890518,1890517,1920404,1097046,615838,615836,1097039,1079399,1079396,1891501,3226292,5271826,8200982,10578752,6978305,6978306,10578753,8229867,8229866,255069487,7318646,4620462,4620463,4627099,254759789,4613230,4613229,4968043,5224424,3187071,254389431,4965790,3183395,3183394,5218592,254832239,16767815,16767816,12169625,254582265,1079660,254181697,3226968,5272597,4787957,254536523,7531761,4764430,2872113,2872114,3397796,5509293,8508768,9871516,6484880,6484879,9871508,7513878,7513879,4979608,4979607,7844757,11749520,7844773,4979618,3007986,3007988,4979623,6504667,9897519,14368227,9898919,6505831,6505830,9898917,14392634,14390236,9896162,6503550,6503549,7714608,7714609,5509290,5509289,4069643,4069642,6494699,6497196,4071206,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538371,4533236,2725003,2725001,4531979,6496742,6496743,9887663,9892858,6500848,6500849,9892861,9893914,6501721,6501722,9893919,14388158,20049906,15722880,10886259,7198489,4535167,2726107,2726105,4077651,4077649,6496761,4070927,2435955,2435954,4070925,6496754,6493520,267946695,254972147,9879826,14373858,20043728,268336937,20062151,255323726,6506672,4077396,2439622,1410530,1410525,2439597,2703697,2703695,2440087,2440092,4062092,2438043,1409690,801932,454371,256066,141800,141798,256055,454350,801893,1409604,2437879,2437980,2437982,4074569,6502518,9894921,9138337,5980056,3739478,3739477,2454287,2454284,4103042,6549378,9965093,14483331,19896613,19896614,20060704,15717213,256354819 Dl.O(d2) = 260827501,132625984,145846356,158217621,169596268,158217645,158217644,273215219,179794752,169596272,158217625,158217623,145846385,145846386,158217643,158217620,158217621,169596268,158217645,158217644,273215219,179794752,169596272,158217625,145846358,260585966,270836938,258119224,63523739,76603316,90461885,104626000,118806885,118806904,104626016,104626017,118806906,132626016,132626017,145846388,158217644,273215219,179794752,169596272,262226984,145846353,132625982,118806899,104626012,104626013,260827501,259985886,104625996,260827497,145846354,145846371,262896583,179794752,169596272,158217625,145846358,260585966,260827499,261711306,145846364,145846369,158217630,145846378,145846377,260585974,104626005,104626006,261396005,145846390,132626019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140839, s2 = 13686090, dlinesl.size( ) = 20 s1 = 9708208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1815206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6498991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6498991, s2 = 15326875, int(edited[s2]) = 0 s1 = 6498991, s2 = 15326875, d1 = 23, d2 = 59 Dl.O(d1) = 255255040 Dl.O(d2) = 100212943,270334973,48508528,38593720,38593715,30021017,30021018,28686724,28686722,23207710,23207380,16936419,16936418,23207375,30630319,30910395,33295058,33295060,29339409,29339410,23474770,23474769,30910558,30910335,23474600,23474601,30910341,39519580,30910511,23474736,17192954,12089495,8129999,5208714,3177840,3177842,5208720,8130007,12089513,17192990,20021944,16936554,11853523,7922333,7922332,11853515,16936539,23207541,30630492,37288196,28754286,28754284,23220029,23220028,23474649,30910405,30762738,23339721,17073469,17073468,23339715,24274065,17894177,17894179,24274071,30630453,29339405,23474618,17192881,12089454,8129981,8129980,12089451,17192872,23474607,30910350,26142478,26142476,23474725,23474715,17192942,17192929,12089477,12089476,15148712,10447804,10447807,15148719,21089358,28296857,36793861,46679920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6498991, s2 = 15326875, dlinesl.size( ) = 14 s1 = 2174762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1817609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6555029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6555029, s2 = 14201029, int(edited[s2]) = 0 s1 = 6555029, s2 = 14201029, d1 = 31, d2 = 33 Dl.O(d1) = 255914395,7518796,256357899 Dl.O(d2) = 255647021,3704085,3704032,3704031,3710927,3710925,5934891,4275931,2556506,2556505,267825551,2678994,4459539,6828305,4283856,4283855,6828304,10365440,10301087,255000129,20198381,14492896,9971934,6553781,4105699,2455824,2455825,4105702,6553786,254981035,255751863,14492798,9971842,6553713,4105660,2455803,2455802,1419624,807578,457607,257988,142970,78446,78445,254084003,457602,807550,807552,1419573,2455738,4105573,6553586,9971685,9971638,6553559,4105555,4105554,6553555,9971634,6553772,6553771,6553818,4105727,2455840,1419640,1419641,2455845,4105738,6553831,9972010,9971845,9340481,6118182,6118183,255683689,33517062,42517043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6555029, s2 = 14201029, dlinesl.size( ) = 40 s1 = 1817857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1817857, s2 = 3145378, int(edited[s2]) = 0 s1 = 1817857, s2 = 3145378, d1 = 7, d2 = 7 Dl.O(d1) = 47620336,258713877,259373058,59455734,72193568,259991121,99302902,271801268,153196329,140954578 Dl.O(d2) = 47620336,258713877,259373058,59455734,72193568,259991121,99302902,271801268,153196329,140954578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1817857, s2 = 3145378, dlinesl.size( ) = 2 s1 = 1817857, s2 = 3145378, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1817857, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 2175316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1818269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1818269, s2 = 14165066, int(edited[s2]) = 0 s1 = 1818269, s2 = 14165066, d1 = 1, d2 = 1 Dl.O(d1) = 47626596,59029050,71771715,85361488,256359506,113309954,119965480,105729760,91505412,91505411,105729758,91505413,77574471,64406576,52533478,267863284,25470578,254304500,13446572,18579085,25132114,23712303,17388706,12253577,12253575,15096307,15096306,21018838,25130931,24103697,24103698,31606223,31590156,24086166,24086167,24078419,17721362,12537455,8498966,8498965,8498964,12537452,12595319,17794426,24162018,254412340,24154370,31664523,26650551,26650550,254867234,17774668,24138937,24179597,17811239,17811237,19700245,26439621,31675186,24165649,267915310,26442515,25103815,25103814,24135096,17771384,12576511,8529904,5527996,5527997,8529905,9129494,13358252,11475803,7632843,4828972,4828973,7632851,11475818,16469667,267915276,5572296,5572295,8576395,12631380,17837573,24197945,17828657,17828658,24166483,31675865,31573762,31573763,24166794,24166567,17798898,17798635,12599146,8550143,5548778,5548777,8550137,6535983,4095128,2449922,2449921,254472671,9944545,14454625,20011693,17837592,17837590,24207473,23994231,23994232,23301069,23301068,21792390,15733876,15733875,21792388,28168556,28267138,29732545,29092526,21797326,15737858,11275005,7484511,7484510,11275002,16219352,254503288,23301224,30718546,29848350,22482789,17450354,12301127,12301126,17450352,22649901,30022904,254207772,254114390,254114388,19237245,254937262,78450082,78615769,92671511,85040003,71468073,58738391,55372457,269638891,81177452,85039997,87975490,74373753,74373755,67826087,55484681,55484682,61597580,50117874,40097430,31417445,23927469,17585951,17585952,23927471,31417449,40097442,50117890,61597607,74373870,87975589,76434286,76434285,85039984,76434296,63390633,51647929,51647928,63390629,61597529,61597530,74373775,87975506,90264771,95233099,81177454,74373761,74373760,85040008,71468077,58738393,47350752,37444149,37444147,47350748,58738385,71468069,85039999,84776266,270810511,86562122,86562120,74373796,61597548,50117861,256981828,23927466,268442297,40097417,50117849,61597525,61597513,258266499,61597533,61597534,61597540,74373789,87975517,89774197,103875718,98704590,257243168,84776304,71207264,58485458,58485457,58738404,71207209,71207208,71207276,78481182,71207131,58485284,47107087,37210280,28686058,21436180,15441727,10675752,10675751,15441723,21436175,28686049,37210263,47107056,47107348,58485433,58485434,71207240,84776285,98704614,84776294,71207254,58485446,58485445,48124975,47107243,37210415,28686149,21436248,21436240,15441766,15441767,21436243,28686074,28686075,37210300,47107104,47107093,37210283,28686059,28686061,28686066,37210287,47107043,47107261,37210420,28686154,28686155,37210422,47107187,37210370,28686122,21436229,15441759,15441762,21436233,21436217,21436218,28686101,37210345,37210368,28686120,28686119,37210363,47107182,47107196,47107197,58485402,58485325,47107129,37210323,37210322,47107125,58485313,58485354,47107283,47107282,37210447,28686172,21436265,15441778,10675774,10675776,15441781,21436272,28686190,28686202,28686203,37210494,37210514,28686221,21436298,15441797,10675780,7051458,4438440,2665343,2665345,4438445,7051466,10675788,255404085,15441751,10675761,10675759,15441747,21436214,15441755,15441756,21436227,28686117,37210361,47107140,58485344,71207181,58485540,47107354,37210503,37210442,28686169 Dl.O(d2) = 47626596,59029050,71771715,85361488,256359506,113309954,119965480,105729760,91505412,91505411,105729758,91505413,77574471,64406576,52533478,267863284,25470578,254304500,13446572,18579085,25132114,23712303,17388706,12253577,12253575,15096307,15096306,21018838,25130931,24103697,24103698,31606223,31590156,24086166,24086167,24078419,17721362,12537455,8498966,8498965,8498964,12537452,12595319,17794426,24162018,254412340,24154370,31664523,26650551,26650550,254867234,17774668,24138937,24179597,17811239,17811237,19700245,26439621,31675186,24165649,267915310,26442515,25103815,25103814,24135096,17771384,12576511,8529904,5527996,5527997,8529905,9129494,13358252,11475803,7632843,4828972,4828973,7632851,11475818,16469667,267915276,5572296,5572295,8576395,12631380,17837573,24197945,17828657,17828658,24166483,31675865,31573762,31573763,24166794,24166567,17798898,17798635,12599146,8550143,5548778,5548777,8550137,6535983,4095128,2449922,2449921,254472671,9944545,14454625,20011693,17837592,17837590,24207473,23994231,23994232,23301069,23301068,21792390,15733876,15733875,21792388,28168556,28267138,29732545,29092526,21797326,15737858,11275005,7484511,7484510,11275002,16219352,254503288,23301224,30718546,29848350,22482789,17450354,12301127,12301126,17450352,22649901,30022904,254207772,254114390,254114388,19237245,254937262,78450082,78615769,92671511,85040003,71468073,58738391,55372457,269638891,81177452,85039997,87975490,74373753,74373755,67826087,55484681,55484682,61597580,50117874,40097430,31417445,23927469,17585951,17585952,23927471,31417449,40097442,50117890,61597607,74373870,87975589,76434286,76434285,85039984,76434296,63390633,51647929,51647928,63390629,61597529,61597530,74373775,87975506,90264771,95233099,81177454,74373761,74373760,85040008,71468077,58738393,47350752,37444149,37444147,47350748,58738385,71468069,85039999,84776266,270810511,86562122,86562120,74373796,61597548,50117861,256981828,23927466,268442297,40097417,50117849,61597525,61597513,258266499,61597533,61597534,61597540,74373789,87975517,89774197,103875718,98704590,257243168,84776304,71207264,58485458,58485457,58738404,71207209,71207208,71207276,78481182,71207131,58485284,47107087,37210280,28686058,21436180,15441727,10675752,10675751,15441723,21436175,28686049,37210263,47107056,47107348,58485433,58485434,71207240,84776285,98704614,84776294,71207254,58485446,58485445,48124975,47107243,37210415,28686149,21436248,21436240,15441766,15441767,21436243,28686074,28686075,37210300,47107104,47107093,37210283,28686059,28686061,28686066,37210287,47107043,47107261,37210420,28686154,28686155,37210422,47107187,37210370,28686122,21436229,15441759,15441762,21436233,21436217,21436218,28686101,37210345,37210368,28686120,28686119,37210363,47107182,47107196,47107197,58485402,58485325,47107129,37210323,37210322,47107125,58485313,58485354,47107283,47107282,37210447,28686172,21436265,15441778,10675774,10675776,15441781,21436272,28686190,28686202,28686203,37210494,37210514,28686221,21436298,15441797,10675780,7051458,4438440,2665343,2665345,4438445,7051466,10675788,255404085,15441751,10675761,10675759,15441747,21436214,15441755,15441756,21436227,28686117,37210361,47107140,58485344,71207181,58485540,47107354,37210503,37210442,28686169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1818269, s2 = 14165066, dlinesl.size( ) = 2 s1 = 1818269, s2 = 14165066, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1818269, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 7933667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7933667, s2 = 14896761, int(edited[s2]) = 0 s1 = 7933667, s2 = 14896761, d1 = 0, d2 = 0 Dl.O(d1) = 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70795537,97994877,95533821,81498596,68015430,55628476,55628477,258549253,84119230,258034816,68015395,55628454,44730478,35311129,35311130,44730480,50513887,50513886,62005399,71770038,68015407,55628459,55628458,68015404,71405796,70582210,57880756,57880757,70582212,84119251,81498587,68015425,55628471,44730492,44730493,55628475,68015428,269302434,46524618,36657053,36657052,46524614,57880762,70582213,84119253,71405802,68015402,68015401,71770043,71770042,85359922,79352788,65985957,62211825,57880720,258016483,70582190,70582227,57880778,46524635,46524636,57880718,46524573,257406161,70582179,68014985,55627970,44729922,35310433,27190662,27190663,35310434,37730831,29170453,29170452,37730827,47652731,57880730,46524645,36657079,28180710,28180709,31917601,31917600,40633143,46524656,57880733 Dl.O(d2) = 271663081,81298136,67832327,67832328,259173283,109606140,123793848,137515928,262587097,183469757,183469756,192023539,199381735,205606957,210756402,214962507,214926304,210716705,273830247,263439031,173613143,162583491,150455388,137416422,123685918,109494575,95241555,81186374,257916379,44535293,257316887,67721415,81186376,270661419,44535289,35159080,27073004,20177718,20177719,27073183,35159290,44535508,50872405,40757703,40757704,50872406,60551412,60551411,55383048,44536744,35160285,35160284,44536742,49151908,60551416,55381732,55381733,67721585,67722543,257916471,44536310,44536309,38229083,38229084,42790168,47969974,38056800,38056799,257507363,55382653,67722544,81187328,95242352,105078695,259740117,79307238,65942717,55358713,44512117,35135197,35135196,44512115,44512120,35135200,27049509,20156646,14460112,9951835,9951836,14464948,20162805,26591867,23080790,23080791,30494409,23084282,16831462,14474954,9959438,9414321,9414322,6406809,4019487,4019489,6406815,9743369,14172769,19786681,26591876,34579129,34579130,41522765,51800678,257162823,24966785,24966784,32636621,41522764,40209639,40209638,31838752,24319525,17932653,12706260,8632792,5613752,3486939,2070797,2070798,254343086,8632795,12706262,17932655,24319526,31838755,40536606,50572836,52053303,41918275,268486121,18684556,255911110,17516435,17516436,21151885,28368619,36866263,255247320,28366562,28366494,21150128,21150129,28366501,36864614,30363430,30363429,23859873,17516433,17516431,23859866,31353389,28365942,21149680,15195894,15195896,21149689,21153672,28370623,31353707,39241972,46747280,36867875,36867037,28369830,28369831,36866592,36866591,41919057,32978980,256301207,28370922,30641114,23217758,23217759,30641116,28369899,21152997,21152998,21153768,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151500,21153840,256300737,38869852,255946937,22886217,30284030,31163724,31163723,36865581,28367713,21151117,16949233,11862306,11862307,16949235,16946874,11860750,7926875,7926876,11860760,16946887,23219663,23217715,16949670,11862593,7927928,5039678,5039681,7927940,11862616,11862106,11862104,11863231,7928266,5039847,3051166,3051168,5039856,7928286,7927150,7927149,11861250,11863046,7928173,7928171,10523984,15254394,12315488,12315489,15254384,15254383,11860039,7926493,7926497,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,7926987,7926986,11860960,16947175,21563423,28834456,30644001,25255330,25255332,25255344,255248229,9074217,5934159,3710473,2221994,2221995,3710476,5934162,5926992,267928215,7670952,7670951,10332036,6828554,4284019,2561302,1475015,834066,834064,1475007,2561286,4283993,6828514,10365723,13296255,18689526,254995156,7592430,254359635,2894707,4802657,7591262,11421182,11611928,11447560,11414360,254512928,22580417,255057494,59029050,71771714,256359506,257481284,119965480,105729759,91505412,255280964,52533477,254452446,25470578,19237246,254114390,254082996,2312794,1341697,1341699,1362524,1362522,1341718,766220,766223,1341732,2312676,267749384,9416369,13743696,19236735,25896986,254473804,25113681,18563453,18563452,25113680,25896982,33703158,42732681,41698770,32782407,32782409,27097588,27097589,35186379,44564657,55412239,67752723,254473814,78366160,65084193,53098389,268551284,255998826,22164492,22164493,29503966,38067064,42457608,43278763,34182291,26310764,19585844,19585843,16042348,11139115,11139116,16042351,22164484,25407152,18816650,13405043,13405042,18816648,25407150,33147616,42101683,42124661,33168245,25425564,25425563,33168240,29823230,29823231,38395575,38395574,48306236,48306260,38395600,29823240,29823239,38395598,47280009,37370694,28831032,256336927,258069165,77751828,64569231,61517034,50038142,40018703,31339493,31339494,40018705,47280019,47280021,40018693,33300198,257206769,42330818,42330820,48867652,42281599,33300277,25538214,25538213,33300274,42281594,268450250,58284469,46918570,46918569,52668640,42281446,33300152,25538121,18926180,13492494,13492493,18926177,22164478,255548864,38067044,46486768,46486767,42281498,33300206,256046028,52668667,48581795,38665595,30088203,30088202,38665593,42281401,52668603,64569025,52668593,52668594,42281601,42281602,52479657,64349773,257632504,47978938,42182664,33222693,33222691,36629093,28155114,20976178,15064960,10388952,10388951,15064958,20976176,24175584,25538220,33300280,33222966,33222965,42182667,33222694,33222695,42182670,42182970,42182969,52541636,52541637,42281387,33300104,33300103,257206759,47978933,38067043,38067042,42182690,33222710,33222709,42182687,52541621,64416169,257791640,52541617,52541619,64416168,64416171,77514984,64416325,57851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83,256761337,27190724,20266492,20266491,27190677,25425182,25425181,33167798,256126063,18831806,13417268,9173779,9173777,6004384,3755056,3755057,6004389,9173805,13417308,18831866,25425170,33167793,27190682,25425049,20266337,20266338,27190581,33167697,42124066,44729890,44729962,42124104,33167808,255662431,255259975,25425188,33167804,256641549,25425088,25425076,18844530,13426300,13426299,18844525,25425196,18831881,18831882,25425199,33167704,25425089,25425090,25425123,18831826,13417279,9173786,9173785,13417277,13417297,13417296,18831848,25425132,18831831,13417281,13417280,18831829,14540675,10004319,10004318,9173781,9173782,13417273,18831819,25425114,33167737,42124106,42124034,42124033,42124061,256761335,27190707,27190703,27190704,256641547,52479127,44729928,44729927,48031548,48031547,42124281,33167899,25425278,25425280,25425163,25425164,33167745,42124130,42124057,268491719,25425142,33167759,33167740,25425118,25425117,25425128,25425129,25425158,18831857,13417303,9173801,9173800,13417301,18831853,25425154,33167734,42124117,44729996,35310521,35310522,33167820,33167707,256641551,27190729,20266499,14540872,10004463,10004464,14540874,20266502,27190734,35310510,33167870,25425252,25425251,33167868,27190735,27190736,33167873,42124108,42124107,52479169,42124161,33167772,33167771,42124158,52479210,257786523,42124093,33167716,25425100,18831811,18831810,25425096,33167711,42124084,48031542,38118316,29553359,29553362,33167750,33167751,42124135,42124668,33168256,25425582,25425581,256641581,52479668,55628023,55628022,61242757,67540028,64349355,52479155,42124097,33167719,25425101,25425102,33167721,38118296,48031523,59424048,64349341,64349342,52479226,52479225,64349411,64349505,52479308,52479309,64349397,52479205,52479204,52479299,42124246,42124247,48031535,38118309,29553356,29553357,38118313,48031539,59424065,59424073,59424072,52479133,52479132,64349329,64349417,64349418,72162997,81009944,67540033,257301131,44345141,55195918,67540030,77514945,64349357,52479160,42124098,42124099,52479162,64349361,52479247,256641563,25425193,25425192,33167812,42124193,52479201,64349392,77514963,64349508,64349498,52479296,42124237,42124236,52479294,59424058,61242747,49763883,49763882,52479311,52479139,42124078,42124077,52479137,59424071,64349786,64349785,74023068,81498245,74023218,61242842,49764004,39745478,39745479,49764006,61242845,60450189,258195319,64349424,52479241,42124195,42124194,42124192,42124191,52479237,64349421,77514960,64349378,52479183,52479184,49763880,39745368,31067226,23582975,23582976,31067229,39745372,49763884,258238405,77514938,91444834,87627026,74023071,74023063,74023064,74023123,73196153,60450197,49046928,39117276,30519699,23103088,23103089,30519702,39117281,39745473,31067325,31067243,23582981,17270512,17270511,23582980,31067238,39745389,39745481,31067331,23583052,23583053,31067220,23582969,17270505,17270504,23582967,31067216,39745340,31067205,23582963,17270502,17270501,268434531,39745324,39745348,39745347,49763856,61242719,49764012,39745484,31067334,23583054,23583055,31067337,34967684,44345143,49763860,49763859,61242724,61242734,61242733,74023118,74023222,87627028,81498643,68015498,61242722,49763858,49763857,61242720,74023108,74023220,61242848,49764008,39745482,39745483,49764010,61242852,61242754,61242755,74023131,64349484,52479284,42124226,42124225,49763891,49763889,61242751,74023077,87627031,74491228,61708608,61708606,74491227,88103387,74491239,61708618,61708617,74491238,81126097,67659319,55319809,55319810,67659321,81126102,77515034,77515035,258533170,91444817,77514909,77514908,81498627,68015469,68015468,81498624,91444921,97994852,102090296,109742942,95533552,81498297,68015049,257912826,81498574,95533814,95533801,81498547,81498546,81498569,68015382,55628443,55628442,68014930,258549201,81498188,81498199,68014936,55627920,44729864,44729865,55627922,68014938,68015491,55628549,55628550,270151419,95533834,84119240,84119239,77515040,258549247,55628414,44730450,44730449,55628412,68015347,68015354,68015479,68015358,55628420,55628421,68015361,81498543,95533797,258146708,68015387,68015501,81498648,95533465,95533464,81498248,68014994,68014995,68014954,55627937,44729880,35310374,27190575,27190574,35310372,44729876,44730550,44730551,44730456,35311120,27191454,20267126,20267125,27191451,35311115,27191507,20267159,20267160,27191509,35311205,44730593,55628597,58671563,58671564,55319802,55319801,67659315,58671560,47280385,47280386,256957320,258146694,87976611,87976610,89954085,269946197,51439889,55628524,44730527,44730526,257313102,55628562,257537532,35311194,27191500,27191499,35311192,44730572,55628575,50119030,50119031,47280410,255477562,28831576,37371160,47280408,47280396,37371149,37371150,37371148,28831568,28831567,37371147,47280393,58671567,62005402,68015450,55628500,55628499,68015449,81498581,81498595,258034820,97994888,97994879,84119292,70582252,57880803,46524665,36657094,36657095,46524666,57880804,68015413,55628462,44730484,35311132,27191463,27191464,31784528,40478887,35311137,27191466,27191467,35311140,44730496,55628483,258549255,2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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7933667, s2 = 14896761, dlinesl.size( ) = 2 s1 = 7933667, s2 = 14896761, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7933667, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 13327247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14896762, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1819003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1819031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345599, s2 = 14323854, int(edited[s2]) = 0 s1 = 10345599, s2 = 14323854, d1 = 18, d2 = 26 Dl.O(d1) = 256704320,47470494,47470493,47087907,256325221,21423423,21423421,23456572,23456573,268665753,31049276,23564975,17253701,15281661,15281662,21247685,255569497,17574253,18964727,13529125,13529126,18964729,14557782,10017426,10017427,11825299,11823155,7901260,7901259,11823152,16895266,12399298,8379569,8366164,8366163,8365689,8286884,5589968,5589969,8380176,9767717,9767720,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692009,17914359,18888447,254923481,254923479,18888446,256647231,46450790,36585047,28112558,28112557,36585045,46450788,57806696,49946575,49946574,49946584,49946583,52364671,52364670,53487234,59332726,47941003,38027371,268939463,48680627,38758974,38758975,48680629,53102927,53102928,60076893,72814219,254668372,48618508,38703971,30127240,30127241,30127226,30127225,30090708,30090709,38667789,34223475,26349346,19620203,19620201,26349341,256506782,41931392,42676805,33647263,25843630,25843631,33647264,29283301,21957928,15865691,10996504,7279471,4590935,2762114,2762115,254517497,10996505,15865692,21957929,29283302,37851329,46464786,57820824,65112730,53127433,53127434,59585782,256345772,59585770,59585771,72320274,79136183,66881576,54624003,43881554,43881553,53126742,42676015,42676016,53126743,54623971,54623972,256947554,34610450,26621703,26621704,255596766,20232761,17411457,17411458,19189380,13704677,9386567,9386566,9386415,6149517,6149518,9386555,6149590,6149589,9386428,255283831,16763379,13991992,9612098,6313557,3957135,2369845,2369846,3957137,6149436,3847973,2305697,1337955,764255,434725,434723,764251,1337948,2305704,3847992,6149459,8202969,255144388,10793676,10793677,11902912,11902913,255525433,15604697,15604698,255849163 Dl.O(d2) = 39814987,31132674,31132675,39814991,49408214,39478924,39478921,49408207,60808468,73554880,73332450,60588143,60588144,60588102,60588100,59572742,48186834,38277663,256944943,59572736,72306740,85899587,260600795,272887264,136751901,122919938,122919937,129624781,129624761,115728651,101683668,87709892,74104041,74104040,74104037,74104031,61321252,61321253,74104035,270897927,100926061,86943313,86943311,100926059,114980010,114980011,128882244,129624754,115728644,101683655,101683654,115728641,260546013,98999115,85073522,71501374,71501376,85073504,95634284,95634283,105753249,109519056,95265142,81209069,81209067,95265138,102467398,101683691,87709934,87709933,98140230,84246525,84246526,98140236,112099221,114979987,100926007,100926005,99638870,85689982,85689983,99638873,100926110,100926111,87172760,87172759,98134869,84240432,70688151,70688152,73554866,73554865,87172680,260159226,72227105,72227106,85819358,99772163,113785349,127653076,262628741,173206276,262291434,136751875,122919918,122919917,136751878,260657946,98138193,98138194,85690012,72104170,59371517,59371515,257005338,47981300,59371521,72104178,85690019,259984719,112094426,112094425,125928351,112988670,98999103,94367232,259762027,112988683,126842504,140190996,272448673,115247151,101170138,87172852,73555102,72227159,257688108,48103652,59491748,72227155,72104146,72104144,85689972,99638860,113652144,127523424,129624768,260756540,98999125,98999138,260546017,113785374,127653085,141001210,136751871,260873054,94367227,80311029,66881859,54624300,43881874,34610698,256722903,54624302,66881862,66881866,66881865,259133197,259945585,85073529,71501377,258700301,257884949,34610726,34610725,43881907,54624344,66881928,80311089,81209143,81209144,95265207,84546461,84546460,95634195,95634194,259033674,81209055,67743981,67743980,81209053,95265119,88463786,259545225,116566295,116566300,116566299,130406041,260872972,123709273,123709272,137439122,261440626,123708637,260277240,137437877,260872810,139277954,150478352,137441036,123711249,109519813,95266012,95266011,109519811,109519074,95265176,95265177,109519076,105755849,105755848,95262343,95262344,81206304,81206303,95262347,98134386,98134387,112094109,125928113,139277476,150477889,137440489,123710644,109519070,109519069,123710641,113978579,99955831,91532838,91532836,105755874,112095347,98136146,84242139,70689965,70689964,84242137,259888457,119989808,109519731,95265917,95265916,258665176,98135840,109519734,101122489,87124546,81206302,67741517,55402461,55402462,257791170,95262352,101122491,109838070,95634297,259660844,95265966,81209911,67744766,55405121,44557779,35179634,35179635,44557786,55405129,52558695,42199488,33238816,33238815,42199484,52558887,52558377,42199147,33238875,25489424,18885632,18885631,25489419,33238859,42199541,42199540,52558968,64433796,66881853,62033900,50542333,50542334,50542309,50542310,62033860,74830219,67744824,67744827,74830737,74830736,84239931,70687681,70687680,84239926,95265912,81209873,67744738,55405099,44557762,35179620,27090987,27090985,35179616,44556614,35179124,27090657,20192127,20192128,27090663,35179133,27090722,27090718,35179223,44557203,55404363,55716125,55716124,64433840,52559007,52558640,42199330,33238712,33238716,42199340,52558658,49408129,39478863,39478864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6732525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9702462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9702462, s2 = 9699635, int(edited[s2]) = 0 s1 = 9702462, s2 = 9699635, d1 = 0, d2 = 0 Dl.O(d1) = 92946006,107351420,121733239,135677506,148924437,161236989,167069385,155429973,142849102,129531948,115646896,101606499,101606498,87639512,87639511,98680627,84753356,71184743,58462794,47084738,37189282,28667899,28667900,28667897,21421440,256324927,47084732,49767817,257629657,74026826,61246641,51342660,51342659,49767814,39749234,255726622,59966956,48575092,38659151,255930871,22700154,30081894,38659150,48575090,59966954,59966955,72704190,86301251,100263330,114293329,258953546,99331127,85387441,71799211,59058543,59058544,71799214,85387443,99331128,113333504,259485326,137434550,258238498,109512867,95258757,257046928,81202786,67738202,255996344,72406167,257629388,99961044,113983765,116453154,102360048,88363266,74734488,258046847,58330935,58330929,58330930,71046368,61940073,61940071,74734479,88363253,102360036,106174429,91976796,258657644,92424098,106730144,120983065,109413112,95157653,81099736,81099737,260399263,109413111,123606950,137339980,144534459,260785599,117517630,131313476,139589696,139589697,147101825,147101826,262476053,154076527,141402669,128034304,114145333,100111703,86145644,72547228,72547229,79134047,65779311,53722626,53722625,65779308,59812074,53722627,53722628,65779313,53722694,53722629,43210737,34123380,34123381,43210708,34123353,34123354,26257977,19539177,13990672,9611133,6312869,3956629,2369466,1371661,1371660,2369464,3956626,6312863,6312877,9611143,6312929,3956673,2369497,1371677,1371678,2369500,3956674,6144705,9379799,13696048,13709503,9390103,6151881,3849398,3849397,6144693,3844910,2303913,1337010,763706,434438,245339,245340,434439,763709,764456,1338339,2306443,3849409,6151883,9390105,254663685,6158661,9400025,13722325,255691443,33674864,25868991,256158019,42705169,53155327,65140017,78421653,260314621,121016098,134813062,147932186 Dl.O(d2) = 92946006,107351420,121733239,135677506,148924437,161236989,167069385,155429973,142849102,129531948,115646896,101606499,101606498,87639512,87639511,98680627,84753356,71184743,58462794,47084738,37189282,28667899,28667900,28667897,21421440,256324927,47084732,49767817,257629657,74026826,61246641,51342660,51342659,49767814,39749234,255726622,59966956,48575092,38659151,255930871,22700154,30081894,38659150,48575090,59966954,59966955,72704190,86301251,100263330,114293329,258953546,99331127,85387441,71799211,59058543,59058544,71799214,85387443,99331128,113333504,259485326,137434550,258238498,109512867,95258757,257046928,81202786,67738202,255996344,72406167,257629388,99961044,113983765,116453154,102360048,88363266,74734488,258046847,58330935,58330929,58330930,71046368,61940073,61940071,74734479,88363253,102360036,106174429,91976796,258657644,92424098,106730144,120983065,109413112,95157653,81099736,81099737,260399263,109413111,123606950,137339980,144534459,260785599,117517630,131313476,139589696,139589697,147101825,147101826,262476053,154076527,141402669,128034304,114145333,100111703,86145644,72547228,72547229,79134047,65779311,53722626,53722625,65779308,59812074,53722627,53722628,65779313,53722694,53722629,43210737,34123380,34123381,43210708,34123353,34123354,26257977,19539177,13990672,9611133,6312869,3956629,2369466,1371661,1371660,2369464,3956626,6312863,6312877,9611143,6312929,3956673,2369497,1371677,1371678,2369500,3956674,6144705,9379799,13696048,13709503,9390103,6151881,3849398,3849397,6144693,3844910,2303913,1337010,763706,434438,245339,245340,434439,763709,764456,1338339,2306443,3849409,6151883,9390105,254663685,6158661,9400025,13722325,255691443,33674864,25868991,256158019,42705169,53155327,65140017,78421653,260314621,121016098,134813062,147932186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9702462, s2 = 9699635, dlinesl.size( ) = 2 s1 = 9702462, s2 = 9699635, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9702462, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6664742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1900640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1900640, s2 = 15162788, int(edited[s2]) = 0 s1 = 1900640, s2 = 15162788, d1 = 16, d2 = 24 Dl.O(d1) = 49122627 Dl.O(d2) = 99342160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1900640, s2 = 15162788, dlinesl.size( ) = 2 s1 = 1900640, s2 = 15162788, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1900640, Dl.E( ) = 30, 1.31e-05 seconds used appending s1 = 2178811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2179375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8239801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 375202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6753442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8162447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2337961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659194, s2 = 6753511, int(edited[s2]) = 0 s1 = 11659194, s2 = 6753511, d1 = 1, d2 = 1 Dl.O(d1) = 37785705,47706701,258097423,85429116,99370138,113370387,127227924,140573114,153254542,165071972,175801752,185311529,193607624,200717629,206716279,211671961,215722201,219072224,221901246,265553961,228272475,229883888,231315218,232598335,233757552,234812886,235774706,266662619,266525114 Dl.O(d2) = 37785705,47706701,258097423,85429116,99370138,113370387,127227924,140573114,153254542,165071972,175801752,185311529,193607624,200717629,206716279,211671961,215722201,219072224,221901246,265553961,228272475,229883888,231315218,232598335,233757552,234812886,235774706,266662619,266525114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659194, s2 = 6753511, dlinesl.size( ) = 2 s1 = 11659194, s2 = 6753511, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11659194, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8378568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14106673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106673, s2 = 14163066, int(edited[s2]) = 0 s1 = 14106673, s2 = 14163066, d1 = 14, d2 = 11 Dl.O(d1) = 37513638,254779480,15649312,15649311,21688511,255094266,47421305,58808560,71537651,85109126,269814108,73534780,73534781,260084227,129159296,142535290,155178489,263217949,185324018,175817596,272850207,140595655,127249306,113390601,113390600,113390599,99389658,99389659,99389657,85448809,85448808,85448811,71863728,59125270,47726958,47726959,47726957,37805175,37805176,29241074,21922000,15836807,10974488,268298770,29241072,22215463,16083789,11169913,7410450,7410448,11169907,12370029,12405483,10017011,6584299,6584296,10017615,10017560,6584316,4125380,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404338,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334000,5423377,5023428,3324735,3324734,5408125,8380140,12400025,17571886,23914546,23915459,23915458,23047802,16802203,11748784,7844226,4979244,4979246,7844230,11748789,16802207,268495510,8386432,5411738,3326664,1956397,1956396,3326662,5411734,8382091,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409741,8383081,5589922,5589923,5404092,5404091,8373473,12390835,9239653,255266855,25553430,33315267,257207991,36628081,28154374,255372169,259884269,260809220,260809218,258970136,63047956,51367027,41181042,32365269 Dl.O(d2) = 8828835,12970684,18275117,256593157,270059968,89807435,257257556,63598568,51811162,41531741,32643937,254673108,18423032,13085920,8917332,8917329,13085909,18423014,18091277,18091276,24522510,18248772,12945813,12922820,8791017,8791014,8917554,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917551,6011580,6011577,9184961,13434183,17938423,18900832,18900833,25511065,25510944,18900695,18420320,13083831,13083829,13084142,18420769,24932310,18854687,13433652,9184613,6011395,6011393,9184607,13433639,18854664,19549020,13998805,9617432,9617433,13566633,9288755,9288752,13566624,19008758,19008819,13642820,13642816,13642841,18769685,13642871,13642868,13450543,13450547,13108918,12727213,12727211,13110118,12727303,12727304,17960256,24353410,24808648,267936754,255696140,256163234,104146968,115915277,129814694,129814695,259705408,159226649,146853283,133595772,271982305,105482361,91260032,77340193,64193014,52342883,52342882,52342884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106673, s2 = 14163066, dlinesl.size( ) = 2 s1 = 14106673, s2 = 14163066, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14106673, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 9676264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2181665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054682, s2 = 13201370, int(edited[s2]) = 0 s1 = 15054682, s2 = 13201370, d1 = 18, d2 = 15 Dl.O(d1) = 1984813,3372910,254864405,17697172,24050941,31555280,24051726,24051727,31556095,40014040,31335868,23843905,17502896,12341663,12341664,12517407,8480138,5481536,5481537,8480142,12517410,17502779,23843485,23843461,17502528,17502527,17502928,254850143,5381573,3309272,1946816,1112140,624086,346836,346835,624084,1112135,1946803,3309241,5381514,8337758,254850135,17502815,23843624,31335653,23843876,17502875,12341648,12341647,12341527,12341528,17502722,23843698,31335634,23843601,23843600,31335556,31335555,23844017,17503008,17503009,23844019,23843993,255969671,11857943,14967858,14967861,15195423,21148951,23214962,23214960,16943389,11858273,7925083,5037935,5037936,7924951,5037896,5037897,7925024,11858178,11857621,11857619,15621439,11857634,7924651,7924653,11857638,15137926,11857628,11857627,11858132,7924986,254815991,16943225,12071330,11802654,11802652,8073646,8073645,12015103,12076091,8120549,8120548,12076086,10488345,6915477,6915475,10488340,15205575,21161954,17146622,12050689,8101824,8101825,12050693,17146634,17335319,23652300,30461960,30870771,29406063,22075396,15969826,11084933,11084935,15969830,22075402,20196975,14491705,14491706,20196979,23452278,17175336,17175335,17923080,17923082,23422357,17145301,16475824,11479479,7635063,7635065,11479482,16475827,14491780,12015093,12015092,17100780,17170538,17170552,12073023,8118464,7357690,5849006,5849007,8960789,13147305,18505034,23423820,17146613,12050683,12050682,17146606,13147325,13147323,18505065,25039094,23444643,23444644,23422363,23422362,24291090,29406043,22673474,20197005,20197006,20196989,20196988,16636668,16636669,17143814,17143813,23420280,29419414,28379477,21162044,15205667,10488434,10488433,11290668,8904940,8606801,8606802,8606819,8606820,12673650,17892223,23422415,17145353,12049619,8100940,5190056,5190055,8100935,12049604,17145326,21148218,17143808,17143810,23420270,30850535,25039089,25039088,22864556,22864555,30260504,24291106,17909343,12687934,8618692,8618691,12687929,17909333,24291088,28378572,21161130,21161132,28378582,33069996,25340387,21160748,15204415,15204416,15982506,15982507,22088986,17892252,12673670,8606828,8606829,12673675,17892260,22075764,23422373,21163852,21163853,28381305,28381318,28363993,28363992,36862302,28364005,21148151,15194839,15194837,21148144,15207396,15207398,15207379,10489917,10489918,15207387,15206538,10489116,7350891,4643240,2796893,2796894,4643243,7350897,11084984,15969935,22075507,29406099,22075432,15969974,11085014,11085013,15206898,15206897,17145479,17145480,13290916,13290914,10480711,6910133,4339860,2598114,254329041,6910129,10480704,15194857,255811501,17145650,12049886,12049888,17145655,23422710,18683879,13290936,9073539,5933626,3710127,3710128,5933632,9073546,13290948,18683893,15997693,11105905,11105904,15997689,22109415,22075667,15970080,15969852,11084945,11084946,15968607,15205325,15205326,21161709,21161182,15204827,10487687,10487688,15204831,21161185,23422630,23422629,28155222,28155223,36629192,39244631,39244630,36875755,36875756,36875742,28383799,21165952,15209015,255384131,28380376,21162894,21162895,18683865,13290926,13290925,18683862,15967537,15207292,15207293,17145610,12049861,8101169,8101168,8101151,5190218,5190217,4343494,2600653,1500408,1500409,2600656,4343498,6915286,10488129,15205349,15204739,10487589,10487590,15204744,21161112,18683833,255648867,255813233,6918856,4346587,4346588,6918860,10492417,15206744,15206745,21163197,18352244,13029091,13029090,17145460,255073565,11083792,11085273,10488580,10488582,10488036,6915197,6915198,10488038,6915263,4343481,2600643,1500403,850379,480294,270348,270349,480297,850389,1500436,2600706,4343590,6915382,5190147,3166680,3166681,5189995,6916612,10489652,10488475,6916442,6916440,6916477,6916478,8101030,6916213,4344267,2601225,2601227,4344273,6915506,4344704,4344705,6916720,4344684,4344685,4643347,2796967,2796968,4643352,7351084,6915057,4343850,4343849,6915200,6915201,4642484,2796260,2796261,4642492,4343436,2600619,1500386,850373,850376,1500395,2600628,2601482,4344620,6915442,4343623,4343622,6915438,4346099,4345602,4345603,6915386,6914849,4344441,2601985,2600435,1500283,1500282,2600430,4343131,6914825,4343135,2600439,2600438,2601149,4344038,2601518,1500957,1500955,2601513,2602463,1501654,1501656,2602452,2600549,1500344,1500345,2600554,4343322,6915069,7349981,6918149,6915051,4343308,4343309,4345631,4345633,6917705,6916658,4344625,4344627,6916660,4345010,4343611,2600722,2600723,1854257,1854258,2602333,4343167,2600457,2600456,4343164,2601457,2601332,2601331,4344200,2601170,1500731,850569,480401,480399,519819,291423,291425,519828,331724,182681,182680,270564,270565,480727,480747,270578,149992,149994,270584,480758,851184,519783,519784,922047,1621552,1058303,595167,331837,182742,182741,331836,595164,1058373,1854375,3167457,254179379,595161,595162,1058410,1854430,1058645,595313,331933,331934,595321,1058353,595122,595120,1058346,1058578,1854656,1854686,2802366,4652067,6917306,6917305,10490363,7364138,4651683,2802011,2802010,4651678,6917178,6917177,4653363,4653362,7365942,11084722,7350678,7350679,11084726,7364282,254764827,4652691,2802827,2802826,4652689,5191121,6917173,5191062,5191060,8101772,5190682,4651552,2801893,1625314,924168,924169,1625318,2801902,4346062,2802053,1625417,924233,521021,521020,521099,292108,161589,161590,292115,521109,595066,595067,924182,521000,521001,924193,924410,1625706,2802484,2803277,2803162,1626169,924688,924686,1626164,1625939,924553,924554,1625917,254523417,11105606,15997382,11105588,7365538,4652914,4652915,3167509,3167510,2801815,1625271,1625270,2801813,4651439,7363940,8621237,254827817,8101869,7365494,4652866,2802963,2802964,2064589,2064588,3478900,5603329,8618987,11106031,7365824,4653249,2803299,1626233,1626234,2803138,2803137,4652474,4652475,7364288,4652463,4652464,4652510,2802725,2802724,4652505,5190747,3167152,3167154,2835550,2835549,4706995,7449863,7449959,7365650,4706944,2835506,2835507,4653030,6917274,4707016,2835562,1645010,935403,527171,527172,935406,1645016,2835587,4707067,7449940,254877949,7434430,4697861,2830479,2830478,4697855,7434424,7434439,5190817,5190816,8101875,8617689,12686766,255596035,17907568,24288719,255204987,12686166,12688169,12688168,12697868,17911305,17921831,24305736,24293376,17911317,268005725,8619045,254877967,17909606,15997728,11105953,11105954,12686180,8617185,8617186,8626654,8626652,12697836,8626600,5609160,5609159,8626598,8626611,5609168,3483511,3483510,5609144,5609145,8626584,8617078,8617077,12686093,12686107,8617084,8617085,8617346,5601858,5601857,3479686,3479687,5604278,8620163,5609203,5609202,8626643,12697879,11227611,7449901,4707032,2835569,2835570,4707035,7449904,11227616,12697896,255596329,12689406,8620013,8619039,5603403,3478995,2064656,2064655,3478985,3479344,3483383,3479708,2065181,2065180,3479702,2068141,1187259,666992,666991,1187252,2068130,3483505,3163099,3163098,2068293,1187377,667056,667058,1187385,2068298,3483691,5604445,8620341,8628391,12697874,12697875,12686011,8616979,5608221,5608223,5603984,3483767,3483766,5609412,8620294,5609222,5609220,3483651,2068259,1187350,1187283,1187284,2065306,2065045,1185268,1185267,2065039,2065135,2065127,2065128,1185353,665830,369296,369297,665836,1185369,2065230,2065547,3480182,3483443,3483445,2068304,1187389,667065,370052,370053,667070,1187404,2068324,3483723,5609379,5609402,3483756,2068351,2068350,3483753,5601722,3483538 Dl.O(d2) = 270313379,44779262,35354552,27231413,20302179,14569545,10025695,6589200,6589203,257330831,50300841,50300840,58270262,46904866,256313997,21307209,21307210,28529531,23170798,16907392,16907391,16011632,11116518,11116517,16011624,17522467,17522466,23866504,23866640,17522556,17522557,23866642,28529367,28352330,28352331,36849961,36849849,28352221,21138326,15187725,10832666,7160802,4510052,2710084,2710087,4510068,7160826,10832713,12866286,18144175,24589153,32175458,40954823,40362686,31668164,24158709,24158710,268273495,18144202,16224898,11278895,11278899,16224912,12456395,12456396,17633963,23980715,31179270,31179267,37865517,40599862,40599861,50649736,256580847,24588884,18144004,18144005,24588886,256580849,256632399,31179623,256508197,33049290,255994884,33048753,31178795,23689461,17367396,12235697,12235696,17367391,23689009,17367119,17367120,23689015,31178279,27094782,20195676,14490617,9970235,9970237,14490627,9970278,6552599,4104978,4104979,6552605,9970288,14490713,20195815,17366995,17366997,17367744,256003669,23688921,23688925,31178161,255808028,23627818,24589010,24589009,19835987,14210230,9768935,6422899,6422900,268043189,19835992,19100839,19100838,25733422,23254592,16991647,11906269,7963630,5066178,5066179,7963631,11906273,16991620,16991619,23254558,24196655,19240923,19240924,25901650,29702908,22348604,16198503,11260314,11260313,12235385,8261717,5330198,5330199,8261720,12235388,17366873,23613709,31097288,33049092,25320698,25320699,23690933,23690932,17526917,12360764,8351769,8175605,5245216,3203691,3203694,5245225,8175698,12032775,8089323,8089324,12032780,17122465,19653336,16914996,11837917,11394641,8088281,5182137,5182138,8088287,5183045,5183044,8089996,12033610,12033609,12029000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054682, s2 = 13201370, dlinesl.size( ) = 8 s1 = 2066873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2183167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352910, s2 = 6644528, int(edited[s2]) = 0 s1 = 10352910, s2 = 6644528, d1 = 18, d2 = 25 Dl.O(d1) = 274071918,263797374,272778252,272090586 Dl.O(d2) = 260568570,58851227,256892659,15680234,10855431,7176886,4520965,4520967,7176897,10855447,15680263,21726198,255136706,256382163,257013024,28137137,20959042,15049886,15049890,17334486,23651483,30108517,30108519,36620697,31328957,23837583,20913442,15068381,15068377,20980337,15588536,15588533,254324308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352910, s2 = 6644528, dlinesl.size( ) = 14 s1 = 6747642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6747642, s2 = 15066189, int(edited[s2]) = 0 s1 = 6747642, s2 = 15066189, d1 = 153, d2 = 41 Dl.O(d1) = 258042070,71899081,59161153 Dl.O(d2) = 76916078,63809125,51993649,41682434,32766409,25069850,18527789,13163918,8972694,8972693,13163915,255641091 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1827455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1827455, s2 = 10139584, int(edited[s2]) = 0 s1 = 1827455, s2 = 10139584, d1 = 75, d2 = 3 Dl.O(d1) = 47774830 Dl.O(d2) = 2461196 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6596270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14493423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736113, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1830119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1065537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2188758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2188758, s2 = 1185197, int(edited[s2]) = 0 s1 = 2188758, s2 = 1185197, d1 = 3, d2 = 87 Dl.O(d1) = 59240879 Dl.O(d2) = 48584912,38668824,30091713,22710166,255931595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2188758, s2 = 1185197, dlinesl.size( ) = 36 s1 = 6859875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6859875, s2 = 11594876, int(edited[s2]) = 0 s1 = 6859875, s2 = 11594876, d1 = 46, d2 = 39 Dl.O(d1) = 259357848,47845252,37925437 Dl.O(d2) = 266511189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6859875, s2 = 11594876, dlinesl.size( ) = 12 s1 = 8073776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8194164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8194164, s2 = 8207963, int(edited[s2]) = 0 s1 = 8194164, s2 = 8207963, d1 = 40, d2 = 21 Dl.O(d1) = 78904164,78904165,258811644,59251820,59251819,47855438,37935754,37935753,47855435 Dl.O(d2) = 32158603,255613717,12857394,12857396,18132444,24574198,32158607,40936846,40544334,40544335,50580513,62072662,62708917,51078662,51078663,62708929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8194164, s2 = 8207963, dlinesl.size( ) = 2 s1 = 8194164, s2 = 8207963, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8194164, Dl.E( ) = 42, 1.48e-05 seconds used appending s1 = 1479921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1479921, s2 = 15256538, int(edited[s2]) = 0 s1 = 1479921, s2 = 15256538, d1 = 149, d2 = 187 Dl.O(d1) = 37940453,47859615,254555528,50428929 Dl.O(d2) = 63260684,51544013,41322667,41322668,41322666,41322665,257740671,63260680,63260679,76280006,90092633,76280010,63260683,269833266,41322666,41322665,257740671,63260680,51544010,256998126,32476435,41322665,257740671,63260680,51544010,51544011,63260682,76280004,76280005,63260686,51544014,41322667,268653850,18342138,13021070,8865957,254898583,14031744,9646863,9646867,9351777,9351774,9300100,6092137,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420386,9320114,13581695,19027775,25645218,33412129,42401155,34978265,26898858,20016806,20016805,26614292,22197947,22197948,254338968,30438569,30161925,30161926,38745108,41693656,42258944,49842071,60628825,59903603,48510067,40316144,31628423,24123065,24123066,31628426,35324651,27200636,20273705,14546150,14546149,20273704,24123030,31628362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1479921, s2 = 15256538, dlinesl.size( ) = 48 s1 = 9119409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164222, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8736172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9404009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2190723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2191625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13326913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9371721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9371721, s2 = 15907354, int(edited[s2]) = 0 s1 = 9371721, s2 = 15907354, d1 = 2, d2 = 7 Dl.O(d1) = 260865292,85182708,258398392,37613163,47518324,58898243,269792277,85182711 Dl.O(d2) = 113092376,113092375,126946862,140296605,140296600,140296599,152989402,164821740,175572413,165310110,153516411,140837643,127479434,113605156,113605155,99589850,85639772,72052350,59317616,47924621,38009763,29447524,22114041,22114042,29447527,38009767,47924626,59317624,72052356,72052360,59317643,47924647,47924624,38009765,38009766,29447529,29447528,38009768,47924627,59317626,256235672,64420134,64420133,59317632,59317631,72052361,85639786,95084117,109338765,99589863,99589862,113605172,127479450,113605167,99589859,85639780,72052354,59317618,59317619,72052355,85639782,85639779,85639778,99589858,100914356,86932840,73322950,60579210,49179487,39253702,39253703,49179488,60579212,73322952,86932842,257917586,67738781,67738783,81203358,95259292,109513383,123705065,137435081,150472460,140860720,127534494,258986862,127534491,113662890,99649096,99649095,113662888,113662892,113662891,127534493,138983072,125644932,112518396,112518397,105447254,105447253,119685980,112572213,112572212,125644931,111830192,111830191,103218379,89129671,89129673,103218383,117347258,131150163,128870234,114967884,114967885,111830197,111830198,119685981,117347251,103218376,97897596,84028220,70493742,57793101,57793100,52003039,46437887,36573078,36573077,32774672,32774671,33021943,25295728,18721393,18721392,25295725,22328373,16182267,15664423,15664421,21706104,22328312,28990145,22328288,16182195,11248079,10843653,7168391,4514779,4514780,7168392,10843655,15664407,21706085,28990130,37535030,33960309,26122650,25295681,18721352,13326976,9105924,5958297,5958298,9105925,254833960,25295677,25295703,18721370,13326989,9105933,9105934,255252231,18721365,18721371,18721367,18721366,25295700,33021915,25295706,25295705,33021908,25295707,18721375,13326992,13326991,18721372,256115339,41964676,52305132,64156637,77304966,77304959,64156631,52305127,52305128,64156632,77304960,87656234,74052910,74052898,61273028,61273029,61273041,49793968,39774087,31095662,31095663,39774088,39774076,31095655,23611865,23611864,31095654,39774075,257533048,61470302,256410532,39976716,31302017,31302018,255913552,20111177,14422408,14422409,20111179,27001125,256051448,44461149,55306152,48901289,38980083,38980082,38980088,48901294,60295976,61273023,49793945,49793946,39975760,31301123,23814695,23814694,23815444,31302023,39976719,49992840,61470306,74247742,258142292,101826982,101826983,114081823,114081824,127961990,127961985,114081819,114081820,127961987,141321565,153991988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9371721, s2 = 15907354, dlinesl.size( ) = 2 s1 = 9371721, s2 = 15907354, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9371721, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9459756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14553619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14553619, s2 = 1836700, int(edited[s2]) = 0 s1 = 14553619, s2 = 1836700, d1 = 23, d2 = 21 Dl.O(d1) = 257825543,78432085,71763518,59019466,47615416,37690433,37690432,47615414,259339566,58065620,58065621,48646274,38725335,30143942,30143938,38725328,48646266,50089466,46313811,46313809 Dl.O(d2) = 59319111,47926112,38011371,29449123,22115449,255448570,7368371,4654849,2804251,2804252,4654852,7368377,11109810,16002734,22115466,29449119,22115448,16002727,15525139,10737245,10737248,10737176,10737177,15525036,10737188,10737190,15525060,21541479,28808956,255807782,21206837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6761751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6955312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13392329, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2193974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8402162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8402162, s2 = 7827202, int(edited[s2]) = 0 s1 = 8402162, s2 = 7827202, d1 = 129, d2 = 99 Dl.O(d1) = 260580454,99596907,85646915,72059776,72059775,59325386,59325385,47933549,38019737,29457763,29457762,38019735,47933545,59325380,72059774,59325382,59325383,59325379,59325378,72059772,85646916,72059778,258738107,99596907,85646913,72059768,270317237,85646914,99596908,85646919,258736570,47933547,38019736,29457763,22123618,16009546,11114957,7371963,4657106 Dl.O(d2) = 268107234,58680297,47289157,37379698,28839463,21567978,15545791,10751718,9972132,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372219,9966479,6550207,4103511,2454524,1418855,807111,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,3197433,3197437,5238031,8168749,12138971,17258912,23570144,29857511,29857510,22972586,16736110,11692776,11692775,16736108,16323650,11356501,7545234,4772158,4772157,7545231,11356499,16323648,22497768,23613541,29853583,31122518,39775123,49794644,48324350,38414025,38414026,46895404,37918921,29350612,22018983,22018982,29350611,22490235,16317195,16317194,22480756,28516631,22476016,16305671,16305673,22476020,254577410,11544400,15160213,254577378,22503937,22503935,29351384,22476167,16305791,16305790,21297920,16684124,15160247,10455043,10455044,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693478,7798800,7798799,10455011,10455012,15160187,21105122,16737242,254520678,23571242,31054494,29243106,26635131,19823376,19823375,16331807,11362709,7549147,7549146,8174579,8174574,12144827,11364906,7550527,7550526,6550290,4103560,2454554,1418865,807112,457318,457321,807124,1418887,2454598,4103637,5238242,3197560,3197559,254418344,8223591,8223592,12193288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8402162, s2 = 7827202, dlinesl.size( ) = 20 s1 = 14162979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1837676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1837676, s2 = 6667929, int(edited[s2]) = 0 s1 = 1837676, s2 = 6667929, d1 = 4, d2 = 97 Dl.O(d1) = 47941967 Dl.O(d2) = 257126614,24534249,24534470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1837676, s2 = 6667929, dlinesl.size( ) = 34 s1 = 13435493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6711645, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10174435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2862868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6671213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1469492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162944, s2 = 8272438, int(edited[s2]) = 0 s1 = 14162944, s2 = 8272438, d1 = 26, d2 = 25 Dl.O(d1) = 19303124,254683788,27255292,31102791,34970184,26891085,26891086,34970185,27254966,20321676,20321675,27252148,27252151,31207908,29291031,21964137,15870225,15870226,21964139,29291032,37860040,47784117,59183643,61294975,49815253,49815254,61294977,49815256,257050667,31113966,23627339,23627340,23627341,17311377,12187043,8217382,5287302,3239135,1900390,1900391,3239138,3023615,3023616,5002723,5287218,6982110,8216100,5286327,3238425,1899887,1899886,3238423,254350342,1899892,3238410,1899880,1899881,3025260,1759503,1759053,1759052,3024713,5003919,7880174,11798929,7880128,5003877,3024690,1759037,1759036,1900063,1760465,1002728,564976,564977,1002732,1760474,254117156,1001431,254102387,315946,564166,564322,316030,316028,564316,1001698,1759221,3024944,5004243,5003405,3024250,1758675,1001286,1001287,1003127,1761080,3020402,3020399,3020400,3027018,1761169,1003203,565301,316613,316598,316588,175047,96264,96263,174277,95841,52872,52871,95836,95872,95870,174342,315249,562939,999370,564605,316190,174843,96126,96125,174839,316178,564589,1002120,1759767,1003621,1003619,254250269,3027773,5000069,3027264,3027265,3020375,1755319,998818,998819,254234962,2798519,4645854,7354603,7876688,7885018,5007609,3027742,267768395,1003584,1761662,3027745,5007612,255133569,11792649,7874847,4999644,4999645,7874850,11792650,11791680,7874021,7874019,11791675,7876372,5000812,3022124,1756865,1756866,3022127,5000820,7876385,7877470,5001614,5001613,5000785,5000784,254811523,16862661,11806105,7885612,7885611,11795011,16863086,23123028,30541760,39140420,31113964,31113963,39323886,34256162,26378667,23308239,17046773,17046774,23308242,30726057,30228219,22836425,255941561,38810971,47628330,50900977,40784343,32027867,27996423,20832203,14933759,14926547,10264056,6744543,4226153,2526954,1456363,824598,824600,1456376,2526981,4226195,6743781,6743784,10262622,14924368,18712275,21631488,26165892,20838404,14939173,14939172,20838400,20898838,28070111,25732436,25732435,27987808,36446900,28027487,28027488,36490031,46347836,36742591,28246738,21046781,21046780,28246736,30235145,22842215,22842216,30235147,38818422,48738666,43836130,34563553,26576758,19774330,19774331,26576760,34563558,43836137,54581133,60378384,60378385,66840502,54581132,54581131,66840500,57724732,46374491,36515400,28051088,20882541,14980229,10312451,10312452,14980231,20882544,28051093,36515408,46374498,57724737,70419790,60334718,57724719,57724718,70419774,83946644,73075055,60334711,60334710,257886616,48936962,48936972,268330210,254964556,24501885,18073934,18073933,21973167,21973168,21973135,15879191,15879192,21973137,23829992,17491795,12333122,12333123,17491797,23829968,31320028,23980571,23980572,30313013,27046233,20153751,20153750,27046228,35131774,44508416,40866331,33081429,25350477,24999795,24999794,32677490,41573186,41566336,32672671,24996315,24996316,32672672,37869829,37869828,37869795,29300196,29300195,37869791,47794576,49794239,49794240,46866243,36987754,28490876,28279476,21074859,15138236,15138235,21074856,28279470,36775530,36987757,39774645,31096506,31096508,39774649,49794235,50015371,39997340,39997339,39997303,31320000,31319999,39997300,46866246,37741656,37741655,38072041,38072042,257508565,47984203,38072074,38072075,47984205,49794229,255943974,31096502,36775535,36775534,38072043,38072044,47984173,49794237,39774653,31096510,23612690,23612691,31096512,39774656,47984234,47984235,59374095,47984247,38072114,38072113,47984244,59374105,258118283,59374045,59374071,256928367,29508277,22167727,16044676,16044677,255890079,38072072,36913795,36913796,38072064,29508273,28170241,28170242,29508342,22167764,16044692,16044693,22167766,256008734,31695711,24188003,24188004,28169870,28169945,21217258,15248726,10519663,10519662,15076228,20989377,20989046,15075970,15075969,20989044,15137491,10440311,6882637,6882639,10440315,11531826,11531825,16545638,15076420,15076421,20989642,28169792,20989267,255054224,10398623,6854757,6854758,10398628,15076032,15076176,15076175,15076025,10398616,6854753,6854752,10398614,10398619,10398620,15075981,16545667,11531847,11531848,15076167,10398718,6854822,4301939,2572059,2572060,4301943,6854831,6854913,4320582,2584475,2584474,4320578,6882647,10440324,15137506,20989257,15076141,15076140,20989253,28169777,36644892,28169485,20989013,15075935,15075934,10398548,10398547,10440365,6882670,6882669,10440361,15076060,20989093,15076005,10398605,10398604,10398669,10398668,15075952,15076022,20989107,20989293,28169828,28169810,20989283,15076157,10398711,6854818,6854808,4301932,4301933,6854811,10398701,15076135,20989025,20989024,28169497,256825965,28277946,21073809,21073808,28277944,36773713,30144329,30144330,36656600,28180380,28180379,36644890,255373436,21073822,28277958,21073819,15137548,10440357,10440356,15137546,21073815,28169569,20989086,20989078,20989077,20989166,20989165,255799867,20989295,23624905,17309322,17309320,23624899,31111330,268602982,40229786,31543488,24040217,17688374,17688375,24040219,31543490,36644921,36644922,36645196,46512839,257405343,36644882,28169476,28169475,256825953,57868969,46512601,36644957,28169547,28169549,31111323,23624894,23624895,31111328,36644988,46512551,256825992,28277829,21073732,269767002,58031593,46658963,36773727,36773729,42374302,42374303,52773271,57869062,52773266,50363955,40336699,39908752,31232267,23748735,17423286,12280443,12280442,17423284,21073731,28277826,36773599,46658860,57869296,70571047,70571048,84107838,70570992,57869002,256440568,46512598,257405353,70571015,60334708,60334709,61552948,50074402,50074401,61552947,257071650,42928459,33882265,26058283,19376591,13860246,254669445,3904261,3904262,254669449,13860243,9508084,9508085,13860244,19376590,256170067,28390347,28390344,28390345,29037863,21745710,21745709,29037862,37585480,37585478,37585479,47490423,58871442,71593561,260552927,113071934,99083366,85160157,71593559,71593560,258760371,87832777,74227834,61448560,257062905,23793816,17461838,12310253,8314802,5365119,3298220,1939797,1939796,3298218,5365118,8314799 Dl.O(d2) = 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0318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,10560224,13515368,13515365,15255766,10525030,6941411,6941412,10525035,15255779,17165107,12068877,12068876,15266025,10533575,10533576,13374870,10568840,10545296,10545297,8108270,5194821,5194823,8108278,8109411,255150845,18963913,13528358,255672467,13526544,9257508,9257509,13526547,11720395,7822551,4964531,4964530,7822550,11159461,11159462,12177701,11283569,11283568,8153775,8153774,11023260,7298233,4603307,2770076,254346455,7298235,7969281,7912714,5030164,3045013,3045012,5030161,7912711,11839876,8390913,7493904,4737107,2854972,1656879,942751,531706,531705,942705,531686,531689,942280,942279,1085140,1869155,1066247,1066245,599332,599331,1066250,1869163,3193463,267841611,1886943,1076597,604724,336623,336622,604722,1076593,1886936,3219931,1896821,1896820,3233800,5280498,8162901,12132777,17252408,14986504,10317992,6787814,4255369,4255372,6787818,6799885,5381477,3309222,1946792,1946791,3309220,5381473,6765431,4239942,4239941,6765427,6805996,6771087,6755710,4233412,4233413,6755712,10279192,9056960,5921315,3702588,3702590,5921318,9056968,13272118,12732761,8652151,5627666,3496803,3496800,4269677,2552742,1470491,1470488,2552735,2696534,1933401,1933399,3287682,4853696,4853695,6761119,4236992,2533230,2533229,4236988,2924835,2576748,2576745,4261843,2547886,2546724,2546726,1467874,1467876,2548072,3714994,2224609,1290357,1290360,2224619,3715005,5941120,5944567,3717263,2225904,2225905,2570829,2570828,4242902,2540166,2540165,4248879,3711168,3711169,5935318,9075792,12663947,10362180,10362179,14990762,10321996,10321995,13310555,13310553,13552287,13552288,16190999,14971552,10303789,6780194,4250038,4250039,4266670,4266669,6803453,8132545,5210342,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219482,3705958,4295244,2567942,2567944,4295253,4295289,2567956,2567953,4295279,6845400,6802013,6802011,8326519,8326516,5584509,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931970,3709243,2221264,1288533,735632,418238,418237,735624,1288518,2221230,3709170,5932070,5931903,5931902,6773438,9100854,5954670,3723883,3723885,5481342,3372985,3372986,5481347,8479852,8536982,5534948,3420460,2019992,1155778,1155779,2019998,3420476,5534978,5209043,5209045,8130518,12090261,17194013,16922735,11843318,11843316,16922732,23189507,30608860,32988119,32988118,28803133,28803132,30456810,23049081,16803511,11749899,7845106,4979864,3008144,1747480,1747481,3008152,4499557,2703713,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,4534081,2725525,2725527,4533242,4534052,7196813,4979542,4979540,3007949,3007950,4979559,4062589,4062587,4500257,4062530,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,2724597,1578793,897618,897621,1578802,2724224,1578766,897608,897609,1578769,2724547,1628336,925931,925933,1628347,2806868,2433687,2433684,2454228,2454225,2433610,2433608,4066863,4536826,4498888,2703305,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,4077393,6506651,6489803,6489802,9878351,14372267,10814401,10814400,15628004,21663555,28942156,37483934,257057427,31208886,255555351,8280459,5342485,3283642,1931184,1103246,1103247,1931189,3283653,5342510,8280501,5403835,3322338,1954127,1954126,3322331,3326819,1960608,1119996,628458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162944, s2 = 8272438, dlinesl.size( ) = 2 s1 = 14162944, s2 = 8272438, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162944, Dl.E( ) = 28, 4.2e-05 seconds used appending s1 = 8309098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1839699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1839699, s2 = 3433874, int(edited[s2]) = 0 s1 = 1839699, s2 = 3433874, d1 = 0, d2 = 7 Dl.O(d1) = 47974797 Dl.O(d2) = 113647773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1839699, s2 = 3433874, dlinesl.size( ) = 2 s1 = 1839699, s2 = 3433874, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1839699, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2196661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2196661, s2 = 9798448, int(edited[s2]) = 0 s1 = 2196661, s2 = 9798448, d1 = 3, d2 = 1 Dl.O(d1) = 176035784,165343707,153553015,140877899,127522472,113651122,99637826,85688897,72102989,59370293,59370294,72102990,85688898,72102997,72102996,70830912,58116041,58116042,70830913,84388282,84388281,84388282,98296915,112278440,126137721,139512604,136167254,122204592,107799492,107799493,122204594,109872620,109872612,99637838,95668569,95668568,86001228,72405051,72405050,86001222,81635173,81635174,93377641,79250426,79250425,93377636,95668578,81635154,81635155,95668580,109872587,124011792,124011771,124011772,122204685,107799587,107799588,109872636,109872637,124011779,124011780,124011804,124011805,136167245,122204584,259737237,79250389,65886783,65886784,79250391,93377581,107799520,122204627,136167293,261518313,136167248,122204622,259898985,98296916,112278443,113982614,107799515,93377579,260355085 Dl.O(d2) = 136167248,122204622,259898985,98296916,112278443,113982614,107799515,107799514,107799519,107799520,122204627,136167293,261518313,136167248,136167292,130287313,116450647,116450648,113982606,113982607,122204687,107799593,95668578,95668579,109872584,122010933,107635894,102357572,88361089,74732285,61938167,50447080,40412871,31721004,24213684,24213683,21032519,17844108,17844109,23123972,26397307,19663274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2196661, s2 = 9798448, dlinesl.size( ) = 2 s1 = 2196661, s2 = 9798448, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2196661, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 2197118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7850259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7850259, s2 = 10353138, int(edited[s2]) = 0 s1 = 7850259, s2 = 10353138, d1 = 18, d2 = 17 Dl.O(d1) = 29082640,21784903,255054585,10890074,15726373,21662566,15626755,10813128,9892488,7197225,4534345,2725663,2725664,4534353,6484768,6497216,4071217,2436124,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,4534081,2725525,2725527,4533242,4534052,7196813,4979542,4979540,3007949,3007950,4979559,4062589,4062587,4500257,4062530,2431321,2431320,4062544,6483196,4873927,2936942,2936945,2703565,1566589,890813,502668,502664,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,254470223,9868627,6482690,4062226,2431160,2431159,4062224,4533277,254229615,897740,1579037,2725031,4533279,7195711,10882984,15719760,10885296,10885295,15721803,14370412,9876341,9280327,6079046,6079047,4074342,4074339,6502182,256157369,13711787,13711788,19199106,20831516,27995784,27995783,28085324,258005957,257510952 Dl.O(d2) = 256189480,11157757,11157535,11157534,11967878,8011570,254821375,255530713,16069083,11157877,7400790,4675257,4675256,7400788,11157870,16069074,16203675,17438435,12292140,12292138,17438434,255539172,31291823,23805665,23805664,17472466,17472467,12318486,8320615,5369090,254592209,12318487,255561445,17473746,12319373,12319374,17473719,12319348,12319346,16256262,11302136,254151696,267816718,12318349,8320535,5369043,5369044,8320537,8320611,8320610,12318478,17472458,23805652,31291817,38357766,256196552,16255085,11301315,11301309,7503135,7503136,7503129,4742796,4742795,7503125,11301284,16255034,16778049,11730858,8871655,5784149,3605145,3605149,5784162,8871686,11731032,16778331,21742347,17473309,12319086,8320980,5369284,5369282,8320973,11301060,11301063,16254723,255274723,9313672,6101006,6101007,9313677,12318876,17473025,16256434,16254898,16254895,11302251,11302252,15889542,13107231,13107233,16254513,15577404,15577405,16778445,16778442,12318547,12318548,17472556,22421394,22421393,29786304,38276622,38276621,39013254,31284256,23798145,21605906,21605907,24848098,29542045,29542044,22421412,16255901,16255904,268328970,12319211,8321037,8321036,12319208,17473503,23805783,255724338,29786149,22421180,16255664,11301731,11301730,16255662,22421177,29786146,23806749,17473657,12319313,8321100,5369352,3300894,1941447,1941446,1941429,1108999,1109000,1941436,3300871,5369305,7502990,4742714,2858240,1658835,1658839,2858321,4742858,4743093,4743092,7503383,7503380,7502935,7477656,7477657,11263893,16203419,22354876,256481090,30040930,22665771,22665772,30040933,38614826,36717378,36717379,35367283,27243634,27243635,31311345,23822567,17486066,12328985,8328685,5375369,5375367,8328678,12328970,17486048,23822546,26127304,19432617,19432618,26127309,25373356,18788616,18788614,21206947,21206945,28430814,35408731,27283143,20347727,20347726,23819525,23819524,19496323,13955263,13955264,17955702,12724000,12724001,17955704,24347597,29952679,256104766,13283071,13283070,18675616,19668083,26402348,34277534,33602269,25804946,19668076,14098471,14098470,19668074,26402340,254452682,254687482,7638797,4832870,4832866,268547630,38631490,48492674,256967122,268410640,30008895,269351663,257541979,256418773,7592543,4802723,2894742,2894741,4802722,5967017,5967016,9119351,13345986,9119290,9119289,11625595,7743918,4903861,4903862,5607776,3482398,2067191,2067190,2933197,1701334,967175,967176,1701336,1698942,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789385,4630242,7329631,11054169,15930979,11626518,7744674,7744673,10505386,15229312,11614783,11614784,254158182,3021771,2606751,1504327,852745,852746,1404527,799323,799325,1404520,2427854,2427852,256737161,55217910,50084506,50084507,61485323,61485324,70301472,57611002,268936012,20794141,14901754,14901753,20794139,25486759,25486082,18883000,18882999,18885422,13458210,9203367,9203366,13458127,9203319,9203321,13458132,18885353,257169669,32748430,268288463,8968436,5953960,5953961,8595207,5587913,5587915,8599583,6780422,4250182,4250180,6780414,10309120,8050923,8050924,7270834,5206312,3176345,3176346,3177471,3178771,3178769,3182606,3182604,5217290,6746383,4421657,2652885,2652884,4421653,7028956,9103752,9103750,10274215,8596827,5585973,3465578,2055093,2055096,3465590,5585993,5938061,5938059,9079462,5953682,3723249,3723248,5953678,9099643,12091519,17195458,23477965,29263920,21942293,15853806,12352678,12352677,17517164,258983717,269955990,258983718,269810687,11252076,7469350,4720320,2843898,2843899,4720321,7469354,11252090,16187506,17196516,12092237,8131931,5209956,5209959,6914473,10487111,15204217,15719192,21778258,22091119,17943158,17943156,17943037,12714550,8639009,8639010,12714557,12714589,12714568,12714567,17943064,22091749,23033026,23033030,21783363,21783362,24007812,254510974,15986679,22094683,15986864,11098224,11098225,15986868,15724125,10887554,7199575,4535866,4535867,7199576,10887557,15724133,20019418,20052606,268172748,44395062,39190038,30592670,23173983,16909902,11834145,11834149,15568178,16650054,11617916,11617918,16650059,22878468,23173071,23173070,16910028,16908376,16908374,11833718,11833719,16909298,23173256,30591876,23174427,16910256,11834397,7909017,7909018,11834399,16910261,23174436,30210352,36952013,30592951,23174246,16910103,16910101,23174238,23173490,16909467,16597941,16597942,22816941,30208664,38793242,32354792,24738936,24738935,28950424,21670631,15633846,10818846,10818845,15450449,15450450,21447167,28699063,23937985,17594343,17594344,23937986,31429162,40109005,40112166,256689926,38794899,30210412,23943795,22817573,22817574,22586735,22586733,19060870,13607351,13607348,19060850,25684204,25684203,33456060,268915262,268619392,64576100,268074864,33309804,25548399,18935935,15618253,15618251,21652654,28929896,37471244,47378318,58765284,256955550,21259875,21259876,23433872,17158271,12061738,12061739,15280340,10546407,6955400,6955403,8115378,5199141,3171908,3171905,254574771,10530076,6944630,4364213,2615261,1510202 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9408518, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7632689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7632689, s2 = 12226995, int(edited[s2]) = 0 s1 = 7632689, s2 = 12226995, d1 = 99, d2 = 122 Dl.O(d1) = 270279939 Dl.O(d2) = 243983605,243983604,244216412,267247450,267189054,267121832 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9142619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2199225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8582757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9504064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9504064, s2 = 16072112, int(edited[s2]) = 0 s1 = 9504064, s2 = 16072112, d1 = 21, d2 = 3 Dl.O(d1) = 258221340,91800828,77878560,64688960,52774781,46677391,39989452,31312884,23823959,23823960,28290286,22211103,16080197 Dl.O(d2) = 131417679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9504064, s2 = 16072112, dlinesl.size( ) = 2 s1 = 9504064, s2 = 16072112, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9504064, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 8075449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8075449, s2 = 5843738, int(edited[s2]) = 0 s1 = 8075449, s2 = 5843738, d1 = 9, d2 = 78 Dl.O(d1) = 59427679,256932345,16080713 Dl.O(d2) = 235727525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8075449, s2 = 5843738, dlinesl.size( ) = 96 s1 = 1842981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1491409, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8236379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7931225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7931225, s2 = 6682643, int(edited[s2]) = 0 s1 = 7931225, s2 = 6682643, d1 = 26, d2 = 29 Dl.O(d1) = 8084160,11215898,16144391,16245319,255470893,16143859,16143858,255082566,11184794,11184795,16101677,11184216,11184215,255458179,268084624,4702423,4702424,254527522,2832729,2832730,4702062,7441666,5036362,4701818,2832590,2832587,4701813,7441275,11214881,7441597,4702017,4702016,7441592,11215371,11215660,7441813,4702141,254528351,11215646,16115073,256394319 Dl.O(d2) = 77020347,63908713,63908714,257290090,54607254,43864298,43864297,54607252,257442162,28689708,37214372,47111172,58488956,256158456,271547583,18904835,18904836,256132571,33275291,42254881,52640344,257524960,38277489,256620244,11264653,7478087,4726140,2847585,254354877,7478086,11264651,16204526,22356131,23222606,20942466,15033893,15033894,17322652,23638312,256376201,47842553,46452959,46452958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7931225, s2 = 6682643, dlinesl.size( ) = 26 s1 = 14164612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2204291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13306465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6442342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6442342, s2 = 9591587, int(edited[s2]) = 0 s1 = 6442342, s2 = 9591587, d1 = 4, d2 = 17 Dl.O(d1) = 254471678,28936135,28936134,37478040,47385667,48975002,48129862,48129861 Dl.O(d2) = 206916320,211848774,215878335,263728324,213279315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6442342, s2 = 9591587, dlinesl.size( ) = 2 s1 = 6442342, s2 = 9591587, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6442342, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 2205786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9671651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2550171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6702694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6702694, s2 = 11031768, int(edited[s2]) = 0 s1 = 6702694, s2 = 11031768, d1 = 64, d2 = 97 Dl.O(d1) = 257522106 Dl.O(d2) = 31180146,259170300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6702694, s2 = 11031768, dlinesl.size( ) = 24 s1 = 6516506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2208700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2208700, s2 = 13306466, int(edited[s2]) = 0 s1 = 2208700, s2 = 13306466, d1 = 9, d2 = 10 Dl.O(d1) = 59576649 Dl.O(d2) = 23405536,17131773,17131772,23405535,30834434,26954711,23861311,17517586,17517585,23861309,31354959,35013627,26947369,26947370,29081378,21783541,21783542,29081381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2208700, s2 = 13306466, dlinesl.size( ) = 2 s1 = 2208700, s2 = 13306466, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2208700, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 1852519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1852519, s2 = 1040046, int(edited[s2]) = 0 s1 = 1852519, s2 = 1040046, d1 = 15, d2 = 6 Dl.O(d1) = 48191412 Dl.O(d2) = 26304514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1852519, s2 = 1040046, dlinesl.size( ) = 14 s1 = 9394564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656622, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14162998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6652000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6652000, s2 = 1366433, int(edited[s2]) = 0 s1 = 6652000, s2 = 1366433, d1 = 8, d2 = 4 Dl.O(d1) = 256964984 Dl.O(d2) = 34625514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6652000, s2 = 1366433, dlinesl.size( ) = 8 s1 = 2210432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2210432, s2 = 7172129, int(edited[s2]) = 0 s1 = 2210432, s2 = 7172129, d1 = 9, d2 = 19 Dl.O(d1) = 59607299 Dl.O(d2) = 263550813 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9699297, s2 = 9709432, int(edited[s2]) = 0 s1 = 9699297, s2 = 9709432, d1 = 0, d2 = 0 Dl.O(d1) = 255197710,28882158,37424398,47332786,58721385,71451859,85023954,85955029,72359624,59624858,48237782,38327874,29758112,256406315,258138107,59624860,72359622,85955026,99913033,113936382,127816949,141179738,147863415,134742630,120946384,120946383,134742629,120946385,106694197,92390002,257224438,53091846,42642192,33615378,25815628,254660330,9372886,6139736,3841449,3841448,3928977 Dl.O(d2) = 255197710,28882158,37424398,47332786,58721385,71451859,85023954,85955029,72359624,59624858,48237782,38327874,29758112,256406315,258138107,59624860,72359622,85955026,99913033,113936382,127816949,141179738,147863415,134742630,120946384,120946383,134742629,120946385,106694197,92390002,257224438,53091846,42642192,33615378,25815628,254660330,9372886,6139736,3841449,3841448,3928977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699297, s2 = 9709432, dlinesl.size( ) = 2 s1 = 9699297, s2 = 9709432, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9699297, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9428283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9428283, s2 = 1501575, int(edited[s2]) = 0 s1 = 9428283, s2 = 1501575, d1 = 1, d2 = 1 Dl.O(d1) = 47661525,37739682,37739681,257483105,71802381,85390556,99334190,113336527,113336531,99334195,85390564,71802388,70726921,58011160,254752660,28254497,28254498,36749700,46636489,47661445,47339282,254078302,25125884,25125883,25125888,18573490,267765454,254343566,52065562,41900120,41900121,48226812,48226813,48243831,48243830,52236208,48241571,38331341,29760936,22399222,22399224,29760941,38331345,48241575,46636502,36749716,28254507,21053838,15122801,15122800,255377557,255377559,255897337,255897335,38164049,48076802,59467462,72205139,258374062,85799272,99753262,113767636,127636196,140985116,153652128,165433143,176115308,185579812,193839047,200919903,206894005,264039406,211829323,211829326,211829327,215861113,215861114,219195856,222010311,222010308,219195854,219195853,221982705,219164072,219164071,219164073,215825443,211788789,206847601,200866896,200866897,206847598,211788788,215825441,215825438,215825439,219164065,221982698,224403269,224403262,221982690,219164060,215825434,211788783,211788784,211788786,215825436,215825430,211788779,206847590,206847589,260585688,185515688,259367300,165355251,162701419,259367302,173710937,162701423,150602718,137606189,123928067,109792151,109792150,123928066,123928069,109792153,109792152,95590097,95590096,109792155,123928072,137606192,150602719,162701424,173710940,183489614,192039233,199394582,205618319,200864215,199394576,199394577,205618315,210766423,206287357,206287356,211305013,215404800,211305017,206287360,206287358,200217849,262645532,193029872,184652387,175060906,164256624,164256623,164256621,152384408,262161445,154735155,154735156,154735157,262767123,166444921,166444920,262292341,142097519,128739313,128739312,128739322,271829803,114839821,128739310,260659117,114839827,128739320,142097519,128739313,128739312,128739322,261780911,154735160,262767125,166444922,273563345,195388516,187351816,178118893,167659148,167659147,167659143,156053040,143516132,259762956,102250708,88251207,74620347,61828195,50344688,40318888,40318889,50344689,256549494,67547924,64266282,257090972,258283026,71762750,59018817,59018816,71762749,85353052,259339465,113301572,127161363,127161364,130185770,140142359,152836754,140142356,140142357,126791874,112937422,112937421 Dl.O(d2) = 47661525,37739682,37739681,257483105,71802381,85390556,99334190,113336527,113336531,99334195,85390564,71802388,70726921,58011160,254752660,28254497,28254498,36749700,46636489,47661445,47339282,254078302,25125884,25125883,25125888,18573490,267765454,254343566,52065562,41900120,41900121,48226812,48226813,48243831,48243830,52236208,48241571,38331341,29760936,22399222,22399224,29760941,38331345,48241575,46636502,36749716,28254507,21053838,15122801,15122800,255377557,255377559,255897337,255897335,38164049,48076802,59467462,72205139,258374062,85799272,99753262,113767636,127636196,140985116,153652128,165433143,176115308,185579812,193839047,200919903,206894005,264039406,211829323,211829326,211829327,215861113,215861114,219195856,222010311,222010308,219195854,219195853,221982705,219164072,219164071,219164073,215825443,211788789,206847601,200866896,200866897,206847598,211788788,215825441,215825438,215825439,219164065,221982698,224403269,224403262,221982690,219164060,215825434,211788783,211788784,211788786,215825436,215825430,211788779,206847590,206847589,260585688,185515688,259367300,165355251,162701419,259367302,173710937,162701423,150602718,137606189,123928067,109792151,109792150,123928066,123928069,109792153,109792152,95590097,95590096,109792155,123928072,137606192,150602719,162701424,173710940,183489614,192039233,199394582,205618319,200864215,199394576,199394577,205618315,210766423,206287357,206287356,211305013,215404800,211305017,206287360,206287358,200217849,262645532,193029872,184652387,175060906,164256624,164256623,164256621,152384408,262161445,154735155,154735156,154735157,262767123,166444921,166444920,262292341,142097519,128739313,128739312,128739322,271829803,114839821,128739310,260659117,114839827,128739320,142097519,128739313,128739312,128739322,261780911,154735160,262767125,166444922,273563345,195388516,187351816,178118893,167659148,167659147,167659143,156053040,143516132,259762956,102250708,88251207,74620347,61828195,50344688,40318888,40318889,50344689,256549494,67547924,64266282,257090972,258283026,71762750,59018817,59018816,71762749,85353052,259339465,113301572,127161363,127161364,130185770,140142359,152836754,140142356,140142357,126791874,112937422,112937421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9428283, s2 = 1501575, dlinesl.size( ) = 2 s1 = 9428283, s2 = 1501575, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9428283, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 6703550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13345873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8323710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8323710, s2 = 8090360, int(edited[s2]) = 0 s1 = 8323710, s2 = 8090360, d1 = 22, d2 = 25 Dl.O(d1) = 272207156,138866727,151569008,163451715,260257228,142959091,271979726,104971091,90795040,90795041,104971092,104971115,95109611,81052259,81052257,95109604,109363761,101238341,87238007,87238005,101238333,101692172,87718831,74113232,61330704,61330705,61330690,49847327,39823435,39823434,49847321,61330681,65510334,65510335,78842610,90795053,76920544,76920546,90795056,104971115,95109611,81052259,81052257,95109604,109363761,101238341,87238007,87238004,101238328,115316692,111728531,97806460,97806459,111728529,125534634,138866746,151569032,155074999,142430468,257466718,49290234,39363037,39363040,38383951,37491361,28948729,28948728,29602536,29602535,38169486,38169488,37747272,29186207,29186209,37747277,38383927,39028057,30438577,26898993,26898992,28941318,37483192,47390757,48294764,48294763,44356131,43054949,43054947,44355926,37071097,33996146,33996147,43054944,47669178,47669177,47358775,38384010,29811705,29811704,33319046,34978377,36714372,46602548,48294471,43206354,34119145,26254360,26254358,34119140,43206348,53718610,48295006,38384747,29812338,257717471,47669393,37747519,29186425,21874904,21874699,15799793,10947327,10947328,15799795,16246053,11294823,7498987,7498991,11294832,13254459,18641497,25205157,32919034,29185995,21874915,21874914,29186440,26613176,19804905,14186120,14186119,19804901,26613171,30890973,23458167,17179764,12079315,12079316,17179769,22951750,16714990,268015296,21874633,21874632,29186011,23160479,16899161,16899162,23160484,29186368,21874872,15799903,10947388,7244433,7244435,10947395,9186439,9186438,10947360,15799859,21874808,29186282,26613162,24590884,18145434,18145435,24590886,32177293,40956299,39816342,38829518,38829519,255551058,39498204,36883426,28386996,21168707,15210964,10492559,10492558,15210961,21168700,256841045 Dl.O(d2) = 6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680997,2896905,2897029,4806828,7597768,7729370,4893887,4893888,4902060,2954499,2954501,4902064,7591828,4802210,2894453,1679760,254241231,4802216,7591397,4801931,2894287,1679666,1679665,2894283,4801927,7591390,4898032,4898030,7606563,7612519,7612518,11446647,11631195,11456281,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809863,254786211,16418913,16655299,268961509,255262374,15004575,10334649,6802339,6802338,10334647,15004570,16481069,22678110,24262571,17884590,17884588,20105045,26996020,35080910,36420182,27962016,20800047,14906550,10249290,6734161,4219082,4219083,6734162,10249292,14906552,20800052,27962024,26627979,26627978,33217160,33217161,37496816,37496817,47404516,53181120,42731871,255272224,32837370,32837371,40472180,40472179,42282853,40453674,31759154,25271208,18699232,18699231,254655510,13924740,9557860,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460296,26160045,255277208,53180665,53180664,257214456,268499052,37177958,268148740,19466252,256694385,257217514,32136064,40913872,268424032,25346855,25346856,32139882,24558033,255138412,24557477,18119516,18119517,254816222,40915692,40915374,40915373,32137715,256578245,48512982,48512981,59319959,47927321,269306376,41908317,32968958,32968957,38598275,256839792,268912678,52301096,47429601,47429600,58032441,46659774,36774525,28278680,28278681,36774528,38013667,36921135,28423007,21200045,16958462,11870578,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165588,40196605,36636392,36636394,46503639,41314306,41314309,46392424,46392420,40218212,40218213,39434043,33337253,30652748,23231284,16958469,11870579,11870580,16958472,23231292,30652763,39248592,39709269,31032329,31032330,38202132,48113204,258128264,70561154,84097466,262625241,261569264,63907844,260846995,107864249,93436554,79305883,79305882,91279638,257267010,33081392,25350431,18768759,13365086,13365085,13040137,8881729,8881730,13040140,18364222,21388427,15404357,10647248,10647247,15404354,19638080,19638081,26370819,33750703,25943322,25943321,33750701,40217213,31531443,25944046,19280718,19280719,25350467,28592863,21360845,15382542,10630214,10630213,15382540,21360841,28592853,23995710,23995709,257027669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8323710, s2 = 8090360, dlinesl.size( ) = 26 s1 = 9156472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2212895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8209965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466382, s2 = 9282781, int(edited[s2]) = 0 s1 = 9466382, s2 = 9282781, d1 = 11, d2 = 13 Dl.O(d1) = 20564311,27604611,35871146,45493916,45493915,56617121,58544778,61778279,58238858,46871242,46871243,50298790,61778275,61778210,58181080,46814067,256306679,21212032,21212031,28436775,256807083,32411413,256596411,51434838,58238825,46871185,36992500,28495038,21277848,15315738,10578084,6977837,6977838,255027733,21277850,28495042,36992505,43852694,34581026,26593747,19788389,19788388,26593745,256720837,268611496,19788387,19788386,256197701,257284599,256856014,44756614,35328766,27203702,26593728,19788380,19788381,26593731,34581005,43852667,46515541,57871525,47982823,38070705,38070706,47982828,46515518,36648241,28172656,28172655,36648238,46515513,37060871,28559842,28559841,25857912,19200650,19200651,25771186,20991695,20991694,28172671,36648265,46515552,57871538,46939673,46939672,48227742,59613683,66855750,71021000,71020999,71021080,58305848,46939670,37060939,28559887,21333710,15360663,10612483,7002800,7002801,10612485,15360667,255827045,21333652,15360635,255397475,28559793,37060806,46939481,37060833,37060834,46939519,46939662,37060933,37060934,46939523,58305717,58305844,58305846,71021078,270805519,71021079,84585165,94416628,80363019,66937475,66937474,80363018,74779262,65885677,65885676,74794549,66937465,66937462,80363005,72997252,72997195,72997194,72997255,257577611,38949077,30363003,22961534,16725446,11683218,11683221,16725423,22961493,30362922,22961478,16725417,16725416,22961475,30362918,256555752,46743759,58113426,256361226,258092952,88067015,74454906,61671741,50187850,40163641,40163642,257662741,74454908,70304785,57614225,57614224,61604527,61604526,74381074,87983600,101956523,116000879,113391950,99391164,85450381,71865463,59127089,256909451,29242562,21923202,255063053,10975037,10975040,15837661,21923205,29242565,37806809,47728685,59127100,59127063,47728653,47728654,47716467,37795849,29233418,29233419,256908355,256908363,21916235,15832957,15832959,21916240,29233483,37795918,257488147,71851815,85436969,99378017,113378559,127236263,127236264,140581626,262208837,165080759,153263135,153263134,165080757,165080760,153888916,141217025,141217027 Dl.O(d2) = 97317384,256191754,110842547,96839904,95084146,81025176,68749967,68749966,254312362,57506941,57506940,69160913,56607633,45487133,45487134,56607636,69160915,81349501,67882233,67882232,69251605,56687688,45550178,45550176,56378957,45371865,35785286,27537626,27537625,35785279,36100124,45156619,45156616,45156612,45156613,45548891,35908246,27618944,27618942,35908239,45548880,36201283,27813132,27813134,36201285,45964815,57220239,69859678,83398368,97317383,111313814,111313815,125185439,138567771,151305201,163213040,263050961,192261712,263921019,264519883,216062332,219367311,222160160,224557895,226640849,228456691,230052576,266125307,233883375,233883376,232736874,231468420,230052577,228456692,226640852,224557899,222160162,219367312,216062333,212073135,207190055,201269242,194234943,186022577,176602057,165956407,154197269,154197268,154197267,141534186,128176374,270908980,100263305,114293301,259523480,261205551,154197266,273135027,176602055,186022572,194234941,186022578,176602058,272871561,258899552,257698074,47098691,37202508,37202509,32342662,24726778,255488995,11493871,7644699,4836429,2914299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466382, s2 = 9282781, dlinesl.size( ) = 2 s1 = 9466382, s2 = 9282781, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9466382, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10345805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345805, s2 = 11657365, int(edited[s2]) = 0 s1 = 10345805, s2 = 11657365, d1 = 13, d2 = 0 Dl.O(d1) = 72402793,59667233,257531841,38367982,38367983,48279442,38367978,38367979,30360938,22959577,16723726,16723725,16723946,16723947,18881029,22959263,22959262,29795277,256951563,48279446,59667234,72402795,258484970,111313816,97317384,83398369,268528450,110842547,254679902,69312957,69312956,254679590,64654778,52744440,52744443,64654781,57506942,57506940,68020677,55633015,44733903,35313645,27193353 Dl.O(d2) = 45964815,57220240,69859679,69859678,259231769,83398367,97317382,97317383,261592583,138567771,138567769,138567770,272809127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345805, s2 = 11657365, dlinesl.size( ) = 2 s1 = 10345805, s2 = 11657365, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10345805, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 1857033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6859476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6859476, s2 = 8755981, int(edited[s2]) = 0 s1 = 6859476, s2 = 8755981, d1 = 27, d2 = 35 Dl.O(d1) = 259353974,48290473 Dl.O(d2) = 207908539,207908523,264565737,212687698,207908535,264205608,177867124,177867117,177867118,187138785,195209755,264205606,195209758,202109186,207908532,212687691,212687692,216594405,219833300,222567037,219833302,264981256,207908544,202109203,273713052,177867136,167371114,155737583,261698668,129856046,143185061,155737579,167371106,263243359,195209761,195209773,187138798,187138797,195209771,195209776,187138799,187138800,195209764,187138791,177867126,177867125,263628487,264565741,207908542,212687695,212687691,212687692,216594405,219833300,222567037,219833302,264981256,207908544,202109203,273713052,177867136,167371114,155737583,261698668,129856046,143185061,155737579,167371107,177867127,187138794,263976197,264565743,202109199,264286653,264816267,216594403,264981254,207908544,202109203,264286655,264749342,264565743,207908541,207908540,274119321,264491824,202109171,202109159,195209777,195209764,187138791,177867126,263243359,195209762,195209746,187138780,187138782,195209750,202109175,264816259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6859476, s2 = 8755981, dlinesl.size( ) = 24 s1 = 11657494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6738084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6738084, s2 = 11657493, int(edited[s2]) = 0 s1 = 6738084, s2 = 11657493, d1 = 8, d2 = 7 Dl.O(d1) = 257903663,48297962,38387655,29814987,22447164,22447163 Dl.O(d2) = 257598864,38387654,38387653,257598864,38387652,38387651,255525964,268242908,15496242,10716643,254502965,2677945,1551191,1551192,2677947,4457701,4945325,4945324,7798371,11692646,16735928,16735731,16610977,11692626,11692625,16735901,22832006,16610920,16610919,21503994,23804388,30373863,22972154,255172381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6738084, s2 = 11657493, dlinesl.size( ) = 2 s1 = 6738084, s2 = 11657493, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6738084, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 6704299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6704299, s2 = 7110946, int(edited[s2]) = 0 s1 = 6704299, s2 = 7110946, d1 = 32, d2 = 34 Dl.O(d1) = 257536194 Dl.O(d2) = 262713152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6704299, s2 = 7110946, dlinesl.size( ) = 20 s1 = 7892762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1457229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1457229, s2 = 1495390, int(edited[s2]) = 0 s1 = 1457229, s2 = 1495390, d1 = 131, d2 = 169 Dl.O(d1) = 37489064,37489065,47125388,37227508,28701349,28701350,33075446,25345306,25345307,33075447,38397890,42020618,48308559 Dl.O(d2) = 38219046,38219045,48129122,59516484,259377717 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1859201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1859201, s2 = 11029630, int(edited[s2]) = 0 s1 = 1859201, s2 = 11029630, d1 = 28, d2 = 66 Dl.O(d1) = 48309159 Dl.O(d2) = 10743016,10743034,7097778,7097774,10743014,13717700,13717702,19206112,25863806,33670337,38538780,48447401,43049566,43049565,34009512,26167826,26167828,34009519,43067231,43217322,34129614,26263272,26263271,34129607,43217309,53729171,64800005,64800002,65830794,254306716,34164551,26296797,19574321,19574318,26296788,34164528,40817887,49912284,61392760,74173430,74173441,79256954 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2215532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2215532, s2 = 11153687, int(edited[s2]) = 0 s1 = 2215532, s2 = 11153687, d1 = 14, d2 = 29 Dl.O(d1) = 59696988 Dl.O(d2) = 48711730,38789616,38789617,30777317,30777318,39378873,46905561,38213764,29647167,22295119,16150089,16150088,254274532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2215532, s2 = 11153687, dlinesl.size( ) = 2 s1 = 2215532, s2 = 11153687, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2215532, Dl.E( ) = 48, 3.6e-05 seconds used appending s1 = 13347057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8132941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8132941, s2 = 8317084, int(edited[s2]) = 0 s1 = 8132941, s2 = 8317084, d1 = 92, d2 = 65 Dl.O(d1) = 14225244,19855778,20156164,14459747,14459748,20156151,25564946,25564945,255096310,38402118,29829946,256412413 Dl.O(d2) = 33731474,256050610,25924509,19262682,13767133,13767132,19262681,254878870,13099405,18440998,21139695,21597953,26317359,23377519,22892362,22892363,28873363,21597971,15570326,10769792,7115812,7115811,10769788,15570318,21597961,22892380,16662757,11629365,11629366,16662759,22892387,30290676,38876530,38876548,30290703,22892417,16662783,11629378,11629377,16645374,16645373,22873501,28850059,21578254,21578253,21139685,16662748,16662747,19287201,18440993,18440992,24958323,32626170,25951606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8132941, s2 = 8317084, dlinesl.size( ) = 64 s1 = 1859878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1859878, s2 = 1122440, int(edited[s2]) = 0 s1 = 1859878, s2 = 1122440, d1 = 12, d2 = 51 Dl.O(d1) = 48317667 Dl.O(d2) = 37385937,28845788,28845789,37385940,47295146,49260031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6462902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9539786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2216846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1860961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2217145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6605547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6605547, s2 = 8215724, int(edited[s2]) = 0 s1 = 6605547, s2 = 8215724, d1 = 6, d2 = 13 Dl.O(d1) = 256465664,59729116 Dl.O(d2) = 46642748,256306778,28143823,20965417,15055708,10381499,6841312,4292687,4292691,6841331,10381541,12059463,12059462,17156034,21259054,23908584,255178054,8375468,5405357,3323189,3323190,5405365,4364602,3792025,2271512,2271511,2272578,2272577,3793998,6063844,9258496,9249710,9249711,13517487,13514185,10700250,10700245,9247513,9247516,6056424,3789686,3789683,6054951,6054949,6059944,6059942,9246482,9246485,12052500,10700683,10700681,13514090,17577906,12406042,9246452,9246450,12057524,12057525,17154075,17150106,12053620,12053619,17150104,12403860,255179689,15059250,10384737,10384736,15059248,12640770,12640769,14447988,15274963,14449971,9941161,6533842,6533843,8404173,12435018,11275581,7484888,4730039,4730038,7484887,11275580,8104173,5192485,267904203,12053871,17150378,15292876,10557617,10557618,268091107,7629553,4827087,4827085,6050927,6050928,269420308,42293923,256670407,25800757,268496145,18983259,13546253,9273636,9273635,8189449,5259001,5259002,8189452,10259701,10259700,14920308,20817102,27981119,36440246,39313740,40392453,40392452,256433951,16547206,16547204,22759197,17763614,15619704,10807188,7619970,7619969,7141114,4496328,4496329,7141116,10807176,11456048,7619977,7619976,11456046,15619670,21654347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6605547, s2 = 8215724, dlinesl.size( ) = 14 s1 = 1861879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8025599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13431031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 217826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13557801, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9691042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6582887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1864499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9136722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10148051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13972515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13972515, s2 = 14322876, int(edited[s2]) = 0 s1 = 13972515, s2 = 14322876, d1 = 13, d2 = 6 Dl.O(d1) = 261142206,260854876,113370625,99370471,85429549,85429548,99370469,113370623,261142205,146750620,146750619,261142208,119622431,105436876,259346406,64145240,52292908,41951946,41912776,32972956,25250378,18679581,18679582,18679583,25250380,20891754,14988069,14988068,17881007,12664804,254616539,3708378,2220814,1288314,735531,735532,1288316,2220816,254438999,9069842,9093455,5949052,5949054,9093460,11529122,9681188,6367525,3995462,3995463,6367530,9681194,255716929,34249790,43349784,53874904,65942621,58474692,58474693,58474696,58474695,53364527,42898370,42898369,53364526,65368399,258772308,59691101,48304190,38393728,29821372,29821373,38393731,269344813,258726128,72426745,59814400,59814395,256912358,38520905,48428535,59814397,72549543,86147691,86147690,81232579,67766649,55426980,55426981,67766651,55427005,44580000,35201872,35201871,44579998,38393734,256229019,14502875,9979596,6559282,6559281,9979598,14502879,20210860,27111997,35201884,44580021,257320403,35201878,27111993,27111994,35201880,44580010,55427016,258540101,73476625,73476626,81232585,81232584,73476624,60728404,258216327,87094713,101092123,260678939,105654285,91427585 Dl.O(d2) = 64331788,64331787,77496213,73448733,60700763,49299544,49299545,60700765,73448735,269762028,256811188,83917504,70391436,70391435,70400909,70400908,257389390,86958480,73347115,60602180,49201541,39275137,30678400,30678401,39275138,255369278,255369276,256282770,60602182,60602178,50900465,40783810,32027318,254712962,30678399,39275134,268486866,268739120,49201532,256113766,39507844,30900308,23466579,17186801,12084923,8126771,8126770,12084921,255540353,268665999,49438752,60840454,73590120,259472735,115291718,129220163,129220166,115291721,112354322,98372157,98372156,112232567,98254447,256846668,36815588,254724438,15163335,15163334,21109088,23951170,23951169,254223528,36815586,36815585,254494618,254223526,15164241,15164242,17605447,12427116,12427115,17604442,17604443,17605267,12426955,12426956,17605269,23951008,31442508,40121665,31799588,31799589,40494677,40121496,40121497,254493722,40121667,31442282,23950657,23950659,30764642,30764641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13972515, s2 = 14322876, dlinesl.size( ) = 2 s1 = 13972515, s2 = 14322876, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13972515, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 1865951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8302054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8302054, s2 = 9039398, int(edited[s2]) = 0 s1 = 8302054, s2 = 9039398, d1 = 23, d2 = 16 Dl.O(d1) = 257120911,18052534,18052533,24472945,256570685,50910234,258152505 Dl.O(d2) = 259451823,260667501,259787512,86090696,72493388,257910228,84233765,257577636,46585526,36698845,28207979,21015161,21015162,21015169,21015170,28207986,23232059,23232057,30653477,39249376,257310600,73316097,86089720,86089721,256745110,258534730,58426279,259159932,70863281,58149169,48375933,38475312,38475314,43195656,258256124,15502928,19614335,19614334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8302054, s2 = 9039398, dlinesl.size( ) = 30 s1 = 6759444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 622852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 622852, s2 = 8149107, int(edited[s2]) = 0 s1 = 622852, s2 = 8149107, d1 = 10, d2 = 12 Dl.O(d1) = 15969072,11084347,11084346,15969071,22074359,16550500,11535704,7674442,7674446,11535675,16550448,256434531,48653765 Dl.O(d2) = 29967853,23378122,22999479,16759790,254290648,30404530,255227996,256081856,39105567,39105568,257102185,24268377,24268376,31780957,40475536,40475996,46828316,46828315,58194307,58107972,46737632,36855745,28357908,28357907,36855692,36855689,36855683,36855685,36855923,36852204,28354670,28354672,36852210,46734591,40476015,40476014,36851596,36851597,46492581,36855354,28357737,28357738,36851525,36851524,36855487,28358105,28358104,28358099,21143287,21143284,28358087,36852973,36852974,36856101,46734959,58105407,46734943,36852642,28355068,255364782,15190385,15190542,10477850,6908386,6908387,10477852,15190545,10478172,10478171,267960279,254328951,2597520,254492043,10477473,15189805,15190482,10477836,10477837,10477597,10477599,6908626,4338995,4338994,6908622,10478305,15191349,21142412,15190684,15190682,21142451,28356894,21142198,21142201,28356900,36626077,36626078,28354567,28354568,36852096,28357290,21142565,21142564,28357286,36855135,36855330,36855618,36855617,36852910,28355344,21141033,21141032,21142258,15190556,10477857,6908390,6908391,10477861,15190564,21142266,21142005,15190399,15190398,21141766,21142015,21141796,21141795,28356328,28356562,21143370,15191330,15191329,21143364,28354612,21143500,21142416,21142418,21142194,21142192,28354475,21140215,15189084,15189083,15191359,21142189,28356884,36854727,28357009,21142292,15190579,15190580,21142297,28354595,21142680,21142681,28357433,28358372,36855054,46735108,46734559,36852175,28354647,21141923,15190336,15190335,21141915,28356493,36854151,36854044,28356316,21141935,15190350,15190349,21141932,28356511,28136704,20958658,15049602,15049601,20958654,28136694,36610440,28358392,28357145,28357146,28355135,21140866,17504950,12343189,8339005,8339003,12343186,17504940,23846630,256521491,50037777,58105749,257050095,31107910,31107911,39787190,49806342,58106105,269845452,39787080,49806242,61284255,74063426,61284825,49806980,49806981,256993877,30316924,30316923,38903815,48825972,257632731,31107877,23622511,17307712,12184534,8215577,5286036,5286038,8215583,12184547,17307743,23234301,23234302,30655538,23622725,23622724,31108192,28358458,21143563,21143561,28358451,23622086,23622087,31107251,39786479,31107829,31107800,23622455,17307681,17307543,17307544,17307905,17307906,23622874,31108430,31107328,31107329,23622151,17307504,12184443,12184444,17307509,23622163,31107365,31108775,31108776,39788309,39788320,31108791,31108790,31108488,23622923,17307936,12184647,8215627,8215626,12184576,17307782,23622635,23622855,23622854,26261244,26261246,28354158,23622564,23622565,31107950,36854334,36854333,46736395,38900947,30314342,30314341,38900938,48823179,49805579,39786699,31107435,30316912,22916513,22916512,30316906,38903799,48825959,39786680,31107417,23622205,23622204,256503245,31107332,23622136,17307494,267994607,8215530,12184439,17307492,23622130,31107323,23622626,17307775,17307774,23622624,17307952,17307951,23622943,31108516,39787976,257632797,59527554,48140483,48140484,257632695,49805888,258213896,49806832,60220307,61284863,61284862,70730131,61283980,49805820,39787003,31107713,31107714,39787007,49806176,49806092,39786940,39786939,39786539,31107301,31107298,39364993,30763503,30763502,39364989,49292279,39787348,39787347,39787407,49805748,39786550,31107305,23622119,23622118,31107303,257050019,40018443,40018445,38916499,30330151,30330152,30314304,22914234,22914236,30314309,38900888,48823105,38907296,38907294,48823149,38900918,38900920,38907359,38907360,48829129,48829189,38907402,30320660,22920262,17308010,17308013,23623041,17308022,17308024,23623071,31108703,39788227,47446262,37538138,37538139,47446253,256077538,30314320,255620676,48823136,58832304,49987062,39971191,39971190,38916573,38916574,48823140,38900910,30314325,30314326,30320562,30320561,38907277,48829012,38916437,32836717,25131719,25131720,21140012,15188926,268202477,28354258,36851747,37905624,29336825,29336824,37905614,38907477,30320716,30320717,31107175,256077534,269318419,28804308,28804307,22916854,16683313,16683311,22916824,22916825,22916871,30317343,38901007,30314440,22914351,16681270,16681271,22914354,23810382,17476696,12321784,12321785,16683217,22916751,23810297,17476625,17476626,23810299,23810441,22916202,22916203,17476782,12321831,8322861,5370471,254269719,1941766,3301508,5370466,8322854,12321817,10841096,7166909,4513959,4513961,7166913,10841111,15660411,17283455,17283456,23595707,255855897,16683445,11645496,11645498,15670832,16683169,16683170,16683158,11645333,11645334,16683166,22916688,30317133,37307174,37307173,30307858,22908461,16676247,16676248,22908467,30307871,30317162,28773731,28773727,21512057,15502302,10720733,7082770,4459244,2678853,2678852,4459242,7082766,10720722,15502277,21512016,28773667,37307452,47213868,47213249,37306675,28772936,28772938,21511567,21511568,21512141,21512142,28773825,30304913,22905802,22905803,30304917,37306876,29287962,21961862,15868630,10998444,10998443,15868627,16673993,16673995,22905465,28773096,30304155,38890233,38891090,38891088,38917836,38890531,38890530,38890576,38890753,38890752,30305472,22906253,22906254,30305474,38891134,38891043,38890239,30304158,30304159,38890241,38890987,38890988,38915205,38890248,30304166,30304165,22906429,16674692,254802133,7754115,11639088,16674690,22906084,16674426,16674427,22905155,22905156,22908560,30307951,255948817,22906315,30305489,28851166,21579204,15555800,10759588,7109045,254739589,15555796,21579200,28851159,37391231,47300420,38890734,30304646,22905554,22904318,22904317,16690164,11651270,7763249,7763250,11651273,16690169,22924561,22905721,22905724,30304829,256992877,38890864,38890863,47454061,48827551,38905550,30318741,22918261,16684615,16684614,15555797,255413117,28851160,30305004,28998524,255813427,21170702,22924556,22924555,22927349,22927350,28851164,37391235,47300422,58691051,48833629,48833630,60209711,48835725,256450493,30314474,22914383,22904272,255505005,11637693,7753173,7753172,11637691,11654299,7766105,4919966,2966596,1720819,1720818,2966595,254551171,11636890,11636891,267983333,4920202,2966743,2966742,4910371,2959818,1716300,975218,975216,254245761,4910333,2968275,2968274,4922213,7768736,7754796,254551383,4922201,2968268,2968267,2968288,2968287,2967037,2967036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 622852, s2 = 8149107, dlinesl.size( ) = 14 s1 = 9701780, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13235505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10201753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10201753, s2 = 14349301, int(edited[s2]) = 0 s1 = 10201753, s2 = 14349301, d1 = 33, d2 = 39 Dl.O(d1) = 123963951,109823680,95618735,95618736,109823683,100132041,86166342,72568145,255482660,254786696,22606390,16423365,11439427,11439426,16423362,12323437,8324190,8324191,12323438,17478802,17843693,12635883,8579353,8579351,12635881,17843691,19650382,26316307,19590958,19590957,19664199,19591033,19591034,14086243,9688996,6373185,6373184,4638603,2793966,2793963,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001 Dl.O(d2) = 139898369,152606364,144960841,260218204,103767043,89669727,89669728,76127958,63122446,63122428,257724594,24779996,18299265,12989133,12989134,18299270,24780004,24524857,24524855,257125753,38658749,30081531,22699841,16496507,11493710,11493709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10201753, s2 = 14349301, dlinesl.size( ) = 2 s1 = 10201753, s2 = 14349301, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10201753, Dl.E( ) = 52, 1.6e-05 seconds used appending s1 = 9671412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8190173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10335799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2222882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3995195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9127535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6661042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6661042, s2 = 6760922, int(edited[s2]) = 0 s1 = 6661042, s2 = 6760922, d1 = 3, d2 = 19 Dl.O(d1) = 257056389 Dl.O(d2) = 258167665,86383312,100340734,260632939,100340734,260468148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6661042, s2 = 6760922, dlinesl.size( ) = 20 s1 = 1868033, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1868774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9031589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2225196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13219775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13219775, s2 = 1472756, int(edited[s2]) = 0 s1 = 13219775, s2 = 1472756, d1 = 4, d2 = 6 Dl.O(d1) = 47740060,47740061,59138684 Dl.O(d2) = 37817675,37817676,47740071,59138695,256457742,255512864,71876773,59138689,59138688,71876771,71876779,59138694,59138693,71876777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13219775, s2 = 1472756, dlinesl.size( ) = 2 s1 = 13219775, s2 = 1472756, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13219775, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 2225428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1869553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2225843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2225843, s2 = 5489900, int(edited[s2]) = 0 s1 = 2225843, s2 = 5489900, d1 = 11, d2 = 69 Dl.O(d1) = 59917831 Dl.O(d2) = 229690505,228060980,226204173,226204172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2225843, s2 = 5489900, dlinesl.size( ) = 12 s1 = 14163102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163102, s2 = 7268317, int(edited[s2]) = 0 s1 = 14163102, s2 = 7268317, d1 = 23, d2 = 21 Dl.O(d1) = 180614824,170476886,159134383,146760512,146760513,146203961,146203960,132970186,119134906,104938829,90759107,76880496,257180834,41649583,32740144,25050121,18513558,18513557,18458758,15590884,10785409,7126143,4486538,4486539,4225750,2526753,1456252,824529,824530,1456255,2526760,4225767,6743756,10262542,6744599,6743781,6743784,10262624,14924382,20822283,20832133,14933704,14933705,19465465,13930598,9561670,7657761,7657759,9067286,13283868,10826097,7155452,4506399,2707988,2707990,4506411,7155484,10826142,13327275,9106107,5958396,3726266,3726264,5958389,9106087,6803374,4266606,2550869,1469429,831229,831227,1469424,2550860,4266590,6803354,10335841,10296670,10296669,10378897,6839087,4291119,4291120,6839089,10307526,6779030,4289435,4289432,6836269,9073857,10323676,14992653,20870699,14968343,10327614,6796165,4261401,4261400,6796163,10327608,14997103,13310727,10688903,10321480,6794459,6794460,6806822,6806823,6852523,10395732,11664886,11664887,10303397,10303396,12085666,12085667,15055577,17304230,13319383,12181654,8213149,5284161,3237004,3237005,5284163,8213154,10388841,8124612,5205124,3175684,1859045,1060927,596495,332520,332521,596498,596776,596780,835996,836001,882361,882363,1551964,1551960,1599888,909577,909578,1599937,2760005,3175511,5204793,6760445,6760443,6255910,3916250,2344190,2344189,3916241,6104705,3819724,3819728,6104694,6082511,6082514,9285112,13559047,18999487,25612640,33377802,42366714,256114218,30685836,23269081,17005791,267928984,16712749,22949526,30351192,38937066,48856319,60248933,72984223,86263847,72663310,72663309,72663306,72663305,72663306,59922784 Dl.O(d2) = 77313450,72663312,59922789,59922790,72663307,64165348,52313833,41973388,33030186,25303803,22662584,16468097,11474153,11474152,16468098,255928187,30038085,38612757,48528745,59922786,72663308,86263846,100229493,114261734,128146486,141505908,154169850,165928965,176575514,185998007,194213170,201249839,264773109,219354417,222148310,220688193,217632796,264636909,204073844,264366341,197557843,189905651,181031246,170916083,159591252,147235945,134019251,120186114,105985831,91791173,77868549,257804601,42364068,33375216,25610382,18997534,13557439,9281862,268027903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163102, s2 = 7268317, dlinesl.size( ) = 16 s1 = 6601626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6601626, s2 = 15296625, int(edited[s2]) = 0 s1 = 6601626, s2 = 15296625, d1 = 28, d2 = 34 Dl.O(d1) = 256426751 Dl.O(d2) = 229435863,227775002,265677678,265146000,214803493,210574100,205396948,199139799,191740745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6601626, s2 = 15296625, dlinesl.size( ) = 2 s1 = 6601626, s2 = 15296625, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6601626, Dl.E( ) = 64, 1.79e-05 seconds used appending s1 = 1870449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2890513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13274173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13274173, s2 = 11555366, int(edited[s2]) = 0 s1 = 13274173, s2 = 11555366, d1 = 0, d2 = 40 Dl.O(d1) = 15097535,16260660,16260661,16728305,11685607,7792540,4940851,4940852,7792542,11685611,16728308,22964649,30366442,38952814,48872549,48277984,38366365,29793528,22427525,22427527,20114958,14425441,9923076,6521861,6521860,9923073,14425433,20114944,27005882,35091868,38121128,38121130,48034456,48277888,268635514,59665762,48277898,38366280,29793457,22427457,16260671,11305346,11305347,16260672,22427459,29793459,38366284,48277904,48277804,48277803,38952623,30366307,30366308,38952625,48872283,59665763,59665732,59665676,48277801,48277800,59665674,67653741,59665758,50223956,40201632,31515192,24014397,24014398,31515193,40201633,50223957,59946873 Dl.O(d2) = 235811789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13274173, s2 = 11555366, dlinesl.size( ) = 2 s1 = 13274173, s2 = 11555366, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13274173, Dl.E( ) = 94, 4.01e-05 seconds used appending s1 = 7842852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6693647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163738, s2 = 1571584, int(edited[s2]) = 0 s1 = 14163738, s2 = 1571584, d1 = 15, d2 = 6 Dl.O(d1) = 256973872,258163528,65976955,79341353,93473699,101146719,87148605,79386010,66017637,66017636,63021019,51340188,41155162,32340176,24724199,24724198,255310250,51340184,63021011,76004394,89781830,81172143,76004421,76004423,89781850,258484470,131852216,118026175,103883374,89781822,76004387,63021006,51340180,41155158,41155157,51340177,63020999,257271998,76004378,89781807,103883362,118026163,119766470,130025186,259905942,259114326,259114328,143358273,143358272,133636083,119766458,105533147,91315152,77396190,77396191,91315154,105533151,99641331,99641332,113655411,127527449,129864571,259299886,87950917,87950918,101923340,115967354,260364498,259508509,258262121,50065295,40046003,31365764,23871206,17526747,12360617,8351659,5390555,3314747,3314748,5390557,254851453 Dl.O(d2) = 8351678,12360654,17526795,23871272,31365863,33712583,33198200,32350375,32350376,41165314,37475343,37475344,37353547,28814657,21546299,21546298,28814655,37353542,268440747,23849458,30637507,23214504,16942584,11857703,11857701,16942579,18853482,25451832,33198197,40046117,31365859,23871269,256018331,18211722,18211723,24676727,27155857,27155856,35254958,41161210,41161209,51346125,62216488,50696316,40636998,40636997,40636970,31921236,24388449,24388448,24842498,32484421,31317008,23827582,17490048,17490050,23827586,31317011,39993783,50011615,42157915,33198180,25451823,25451822,33198178,39832614,32341249,24725455,255229002,39832620,34206448,32346646,32346645,25515670,18905757,18905759,255700560,24610022,268707635,51120767,62752020,52263449,52263448,48880277,38961702,30376681,22975443,255126053,11695258,16738983,22975448,25516810,24731114,18258209,12954888,8815452,5742991,3576058,2131348,2131349,3576048,3576047,5742973,5746330,5746329,5746553,5746554,8820115,12954857,12963939,12963940,18263573,12959962,12959963,13480000,18911288,21582526,18853554,268762380,32337124,32337123,25451956,18853557,18853556,25451954,24610562,24610561,32198949,29432858,29432857,37995312,47911360,42157938,33198206,33198207,42157940,37395885,33273761,25513255,25513256,33273763,32346601,24731082,24731081,32346599,255700552,42259441,41172710,41172709,36990953,28493663,28493662,36990951,46869646,52638597,47305456,47305457,47305345,47305346,268924365,28855166,28855164,37395912,40978920,40978921,47305375,37395834,37395800,37395801,47305342,58695803,50088482,50088481,58237388,46869652,36990954,28493664,21276684,15314817,15314818,21276686,15558534,15558533,21582523,28855160,21582529,15558538,10761639,10761640,15558539,21582531,28855171,256879507,28855112,21582488,15558513,10761629,10761630,15558516,21582492,28855119,36965738,36965737,46844596,52638600,47305463,256338111,21582542,15558546,10761642,10761641,15558544,21582538,28855143,34206449,34206450,43304838,37395799,28855082,21582470,21582471,28855085,28855108,255413341,15558511,21582486,28855106,37395829,35148405,27062614,20168674,14470231,9956031,9956030,255333399,27062606,21582511,15558524,10761633,10761634,15558525,21582514,28855145,37395825,37395823,255700554,269319301,28855099,21582482,21582481,18858132,13436155,13436156,15558504,21582474,28855087,256879499,44524949,35148400,27062605,21582504,15558522,10761632,10761631,15558520,21582500,28855131,37395869,47305409,52639878,64538937,58695821,47305366,37395820,37395821,37395840,269095460,20168668,27062604,35148397,44524942,47305434,58695871,59523890,48136719,38226482,38226484,42158085,33198312,33198279,33198280,269080389,55371132,58695852,47305408,37395867,37395866,47305406,42158052,33198288,25451892,25451893,33198289,42158053,268831056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163738, s2 = 1571584, dlinesl.size( ) = 2 s1 = 14163738, s2 = 1571584, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163738, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10135787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135787, s2 = 11438078, int(edited[s2]) = 0 s1 = 10135787, s2 = 11438078, d1 = 19, d2 = 21 Dl.O(d1) = 254361847 Dl.O(d2) = 262741547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135787, s2 = 11438078, dlinesl.size( ) = 2 s1 = 10135787, s2 = 11438078, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10135787, Dl.E( ) = 44, 2.5e-05 seconds used appending s1 = 308229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8133232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6548600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1185443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7988256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7988256, s2 = 6602055, int(edited[s2]) = 0 s1 = 7988256, s2 = 6602055, d1 = 22, d2 = 12 Dl.O(d1) = 260543108,37019062,37019063,29490754,29490753,29490480,254682604,11131808,7384000,7383999,11132083,16032447,14405141,254466698,26980620,29490298,38054139,31395042,23901643,17557176,17557178,23901648,18933160,13497730,9234550,9234551,13497732,18933163,23597743,31081094,39758773,39171661,255554760,11823234,7901317,5022596,4365741,4365740,4379058,6946867,6946868,6946415,4365166,2615757,2615758,4365175,4372612,4378324,6969189,10566161,7931342,5042273,5042274,7931349,11866848,12063402,10556296,10556298,9613157,6314255,3957572,3957571,6314268,9613179,8113309,8113307,10556583,15260403,10528773,6943848,6943850,10528409,10528495,10528496,10528534,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512037,1512040,2619055,4371842,6958289,10550582,15285065,10566115,9250368,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793632,6063306,267961403,15270632,12383780 Dl.O(d2) = 256431114,254101103,168341,92661,92662,168343,168364,92699,51149,28771,16453,9368,9367,254070813,267752788 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7552792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7552792, s2 = 7988257, int(edited[s2]) = 0 s1 = 7552792, s2 = 7988257, d1 = 10, d2 = 16 Dl.O(d1) = 267752789,254070812,92651,168319,304059,542581,962802,1693100,962838,962839,542650,542648,962929,254101102,256431115 Dl.O(d2) = 256431139,259511090,626331,254186189,3321122,5401703,254852999,13537392,18972481,23352313,17084859,11997317,8049935,8049934,11997315,254654252,16212740,12386080,8369774,5401699,3321121,3321120,5401697,8369771,12386078,267961402,8381860,5409112,3325317,3325315,1955796,1955798,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280945,12262023,17399635,23723535,31209738,24005304,23728590,23728587,22770251,16556224,11539987,11539989,16556182,12266027,12262509,8320375,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281312,12262691,17400545,17382242,17382241,23705079,17404261,12265298,12260185,12260187,12265309,8282923,8282922,12259475,8279426,8279424,12259490,17396402,12270934,12270935,17411897,23736726,23086212,16833046,11771451,8280236,5342363,5342362,8280233,5342389,3283597,1931161,1103238,1103239,1931165,3283607,3283619,5339804,3282176,3282175,5339771,8275746,255554761,28445690,28445688,28445686,28445687,23910816,17567514,12396010,12396009,17567512,23910813,18958331,13522027,13522025,15857784,21947136,19848148,14219826,9775877,254466699,2416718,1399049,796368,796367,1399047,2416714,254682605,14219799,19848107,26663013,34654636,40048190,260543109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1873870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1873870, s2 = 12555865, int(edited[s2]) = 0 s1 = 1873870, s2 = 12555865, d1 = 1, d2 = 1 Dl.O(d1) = 48594185,59986108,72723560,86320979,100283122,114313556,128196341,141552892 Dl.O(d2) = 48594185,59986108,72723560,86320979,100283122,114313556,128196341,141552892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1873870, s2 = 12555865, dlinesl.size( ) = 2 s1 = 1873870, s2 = 12555865, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1873870, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 2230691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6760745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6760745, s2 = 11164594, int(edited[s2]) = 0 s1 = 6760745, s2 = 11164594, d1 = 38, d2 = 65 Dl.O(d1) = 258165223 Dl.O(d2) = 175859948,185362652,193652670,262483936,200757316,193652663,193652664,200757319,262483934,211703647,215750932,219098131,215750931,215750932,272990198,193652671,272990196,274095733,274046198,105985683,258420642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6760745, s2 = 11164594, dlinesl.size( ) = 8 s1 = 6865428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6644295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1876188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1876188, s2 = 15611921, int(edited[s2]) = 0 s1 = 1876188, s2 = 15611921, d1 = 1, d2 = 49 Dl.O(d1) = 48652709 Dl.O(d2) = 113069869,99081195,85157878,71590985,255048256,37581593,29034274,21742745,15692036,10863159,10863161,7325646,7325645,11050418,15927321,22028390,16925083,16925084,22119135,21676588,15637905,10821490,7151709,4503711,4503712,7151712,10427962,10868409,15699939,21753534,29046791,30611719,23192039,23192042,29643358,22291435,16146977,16146978,22005038,22119183,22119182,22119188,28957982,28391288,21753539,15699941,10868411,10868412,15699943,21753543,29046805,31117903,39798488,49819096,59507881,48120406,38209974,38209973,37905169,37905168,38209985,29643338,29643339,38209986,48120402,38209955,29643308,29643307,37905194,29336338,22005034,15904213,15904211,22005027,16146965,11217801,11217799,16146957,22291394,22291440,16146980,16146981,22291443,29643373,37546729,29001130,21715797,21715798,29001134,37546736,37505014,37505013,47412534,58799419,58862879,58862880,59954931,48562780,38647263,38647265,48562781,59954932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1876188, s2 = 15611921, dlinesl.size( ) = 30 s1 = 1876691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6590226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6590226, s2 = 13235506, int(edited[s2]) = 0 s1 = 6590226, s2 = 13235506, d1 = 11, d2 = 4 Dl.O(d1) = 256309640,29970622,29970623,256963457,258153112 Dl.O(d2) = 11540312,7677565,4858002,4858001,4250332,4250334,6780675,10309406,10353444,9056297,9056296,7668874,4852246,4852245,6841909,6841911,10382313,15056617,20843166,20843165,15037473,10364919,10364920,10365048,11537889,10345408,6811064,4271971,2554154,1471270,832211,832213,1471278,2554168,4272004,4282726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6590226, s2 = 13235506, dlinesl.size( ) = 2 s1 = 6590226, s2 = 13235506, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6590226, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 6814505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6814505, s2 = 6527073, int(edited[s2]) = 0 s1 = 6814505, s2 = 6527073, d1 = 17, d2 = 38 Dl.O(d1) = 258792823 Dl.O(d2) = 6790290,10320896,14989741,20893668,17852096,254874391,255590777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6814505, s2 = 6527073, dlinesl.size( ) = 20 s1 = 250220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6798277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2233243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13635885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13635885, s2 = 8402294, int(edited[s2]) = 0 s1 = 13635885, s2 = 8402294, d1 = 21, d2 = 29 Dl.O(d1) = 159648205,170967235,167686354,156083738,143551707,130227554,116393786,102303615,88309114,88309115,271418079,260147854,156083719,258286358,156024886,143486739,143486738,134079068,130227500,271418075,74682095,74682096,88309083,102303585,116393743,130227503,143551643,156083675,165318581,153524935,140846251,127487908,127487909,140846253,269884418,167633711,270402128,164695025,164695026,165318589,153524945,140846262,127487914,260147840,99598969,113613988,127487916,261708163,260745130,127487901,113613978,99598961,85649366,72062350,259049632,72062339,72062338,85649348,99598942,113613964,113613974,127487894,140846227,153524912,165318544,165318543,165318553,154799029,142164994,128810362,128810361,128810359,128810358,141966649,141966650,154610123,161291552,148986427,259676438,107426207,107426208,114913261,128810369,142165001,261239565,261155948,86882680,86882685,259448693,259446354,87747754,87747755,259483638,101204316,258822112,74143244,61362656,61362657,71955514,71955513,77547422,258822114,257627384,49736719,49736720,61214964,61223073,49743273,39723956,31045478,23561930,23561929,255157062,16858831,16790889,11740260,7838396,7838395,4975791,3005655,1745928,1745929,3005660,4975798,255512075,12131854,12131855,8162291,8162290,12131865,12132173,12132172,12130467,12130466,12130495,17249064,17249200,12130604,8161582,8161583,8122787,5203992,5203993,3175058,3175059,5204007,8122804,255152597,23458424,30891242,29411784,29411783,37975215,47892997,59288924,72025395,85613803,99564192,86403023,72807534,60069894,60069895,72807536,86403024,86403022,72807542,60069899 Dl.O(d2) = 99564186,113580762,261157679,127457047,113580764,99564189,99564190,113580766,113580756,113580755,113580762,261157679,140817369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13635885, s2 = 8402294, dlinesl.size( ) = 14 s1 = 8718084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8718084, s2 = 15220777, int(edited[s2]) = 0 s1 = 8718084, s2 = 15220777, d1 = 6, d2 = 6 Dl.O(d1) = 123886718,137574156,272784159,173697372,173697369,173697370,263444119,182429883,182429882,182429884,172477378,161276851,261504289,135732051,127647127,113779167,113779168,127647128,121792442,107409667,107409666,121792440,135732068,148971057,148971054,135732066,135732067,148971055,161276875,172477404,172477400,161276872,161276871,161276841,161276840,172477365,172477371,161276844,148971032,135732047,121792417,107409652,107409651,121792416,135732046,148971028,141617802,128267125,114390860,100367612,86411607,72816527,60079157,48682871,48682872,60079159,72816529,61742696,53007404,42567481,33550717,33550716,42567478,53007401,64982099,64982100,61742861,50264429,40244890,31558699,31558700,40244891,50264431,61742862,61742863,74524674,88136547,88136550,74524679,61742870,61742869,74524678,88136549,74524681,61742872,50264438,40244895,31558702,24054205,255191117,8481938,5482822,3373914,1985483,1985484,268407004,5482823,8481935,12519731,17700325,24054194,31558691,40244880,50264419,50264122,50264121,61742467,74524252,88136149,102123582,88136577,74524711,74524712,74524725,63016503,51335535,41150175,41150176,51335539,63016506,63020849,63016482,63016483,75999785,89777162,76297828,63275932,63275931,76297827,75999830,75999831,85785662,85785663,85361792,85361793,257782878,269565556,59453744,48062600,38149902,255301020,16100851,11183597,11183596,16100849,22235915,29583776,38149896,48062596,59453740,58195637,58195638,46829725,36951692,256846849,53217553,65203556,73278319,60533940,49133739,39206772,255967835,23191079,30610611,39206771,30610616,23191082,16924308,11845088,7916682,7916681,11845087,16924307,23191080,30610612,39206774,31806404,24291684,24291685,31806405,40501557,50536730,62028338,74825009,74705122,74705121,71323215,58589958,58589957,47198823,37290631,37290630,44748710,37056960,28556340,21330805,15358327,15358326,21330803,28556334,27101256,20201514,14495421,14495420,255752159,28756750,21497325,21497324,20272247,14544932,10007420,10007421,14544933,20272249,255030896,44748708,47750793,37828461,255395426,18094702,12829328,8723197,8723196,12829326,18015514,24428031,31982059,40729485,47750791,37915951,29347026,22015010,22015011,21941364,21941365,29262870,37828466,254224712,24197596,21941379,15853003,10987262,7273031,7273029,10987258,15852996,21941370,21309744,15339838,10595210,10595211,15339839,21309748,16793025,254729212,23881829,31378706,40061428,40197512,254497908,24011456,24696195,18226951,12928190,8794775,8794774,12928186,18226945,24696182,32309423,255395450,19224868,13733287,13733288,19224870,25884532,19224862,13733285,9408255,9408254,267962408,25884525,22318722,254497892,23881832,23881833,31378693,255395396,38400492,29828154,22460859,16293037,16293036,22460858,29828153,255455120,267973636,30444841,23037338,23037337,255892750,48956318,60352919,73092603,86697033,84549366,84549365,259292456,84549367,98471297,99993521,112461487,98471293,93237681,258659732,98471295,98471294 Dl.O(d2) = 123886718,137574156,272784159,173697372,173697369,173697370,263444119,182429883,182429882,182429884,172477378,161276851,261504289,135732051,127647127,113779167,113779168,127647128,121792442,107409667,107409666,121792440,135732068,148971057,148971054,135732066,135732067,148971055,161276875,172477404,172477400,161276872,161276871,161276841,161276840,172477365,172477371,161276844,148971032,135732047,121792417,107409652,107409651,121792416,135732046,148971028,141617802,128267125,114390860,100367612,86411607,72816527,60079157,48682871,48682872,60079159,72816529,61742696,53007404,42567481,33550717,33550716,42567478,53007401,64982099,64982100,61742861,50264429,40244890,31558699,31558700,40244891,50264431,61742862,61742863,74524674,88136547,88136550,74524679,61742870,61742869,74524678,88136549,74524681,61742872,50264438,40244895,31558702,24054205,255191117,8481938,5482822,3373914,1985483,1985484,268407004,5482823,8481935,12519731,17700325,24054194,31558691,40244880,50264419,50264122,50264121,61742467,74524252,88136149,102123582,88136577,74524711,74524712,74524725,63016503,51335535,41150175,41150176,51335539,63016506,63020849,63016482,63016483,75999785,89777162,76297828,63275932,63275931,76297827,75999830,75999831,85785662,85785663,85361792,85361793,257782878,269565556,59453744,48062600,38149902,255301020,16100851,11183597,11183596,16100849,22235915,29583776,38149896,48062596,59453740,58195637,58195638,46829725,36951692,256846849,53217553,65203556,73278319,60533940,49133739,39206772,255967835,23191079,30610611,39206771,30610616,23191082,16924308,11845088,7916682,7916681,11845087,16924307,23191080,30610612,39206774,31806404,24291684,24291685,31806405,40501557,50536730,62028338,74825009,74705122,74705121,71323215,58589958,58589957,47198823,37290631,37290630,44748710,37056960,28556340,21330805,15358327,15358326,21330803,28556334,27101256,20201514,14495421,14495420,255752159,28756750,21497325,21497324,20272247,14544932,10007420,10007421,14544933,20272249,255030896,44748708,47750793,37828461,255395426,18094702,12829328,8723197,8723196,12829326,18015514,24428031,31982059,40729485,47750791,37915951,29347026,22015010,22015011,21941364,21941365,29262870,37828466,254224712,24197596,21941379,15853003,10987262,7273031,7273029,10987258,15852996,21941370,21309744,15339838,10595210,10595211,15339839,21309748,16793025,254729212,23881829,31378706,40061428,40197512,254497908,24011456,24696195,18226951,12928190,8794775,8794774,12928186,18226945,24696182,32309423,255395450,19224868,13733287,13733288,19224870,25884532,19224862,13733285,9408255,9408254,267962408,25884525,22318722,254497892,23881832,23881833,31378693,255395396,38400492,29828154,22460859,16293037,16293036,22460858,29828153,255455120,267973636,30444841,23037338,23037337,255892750,48956318,60352919,73092603,86697033,84549366,84549365,259292456,84549367,98471297,99993521,112461487,98471293,93237681,258659732,98471295,98471294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8718084, s2 = 15220777, dlinesl.size( ) = 2 s1 = 8718084, s2 = 15220777, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8718084, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 9688996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9688996, s2 = 3706508, int(edited[s2]) = 0 s1 = 9688996, s2 = 3706508, d1 = 1, d2 = 1 Dl.O(d1) = 51115611,62746819,75694159,89459423,103558170,114718832,104160637,90033890,90033888,104160635,105941850,105941849,257459068,99636503,85687821,85687820,80367816,66942225,66942224,80367814,72102098,72102097,59369647,59369648,72102100,59369634,59369633,59369637,59369636,47979526,47979500,38067501,29504314,22164771,22164770,29504311,38067496,257232246,34669206,26676004,19858705,14227615,9780793,9780792,14227613,19858702,19296191,19296190,19296211,19296212,25961621,33770745,37701727,257480131,47624748,37701746,29140858,21833152,15764424,10917733,10917732,15764436,21833167,256358395,31534830,24032499,17681553,17681554,24032415,24032414,24032326,256030775,24032333,17681438,17681437,24032332,22802907,16585876,11566048,7698285,4872245,4872244,7698283,11566044,16585872,11566053,7698288,7698287,11566052,255496135,30193118,38777029,48699260,60095324,72832599,86427583,100383225,114406246,128282230,141632340,154287475,166039449,176679007,263573929,201329376,197270855,189581565,189581564,197270853,273785197,159214668,146841696,133584147,119709668,105470325,91247922,77327893,64179942,52328950,41988719,33045085,25317171,18739518,18739517,25317169,33045082,25489853,18885993,18885994,18928927,254441504,40870996,32099225,32099224,29376003,22045220,254190174,26704709,19883528,14246622,14246621,19883527,26704707,34699190,43974299,47796955,37872585,37872584,37798270,37798271,47718878,59116255,71854110,85438903,99379655,269964916,140582822,153264179,153264181,153264180,165081659,272353020,185320063,193614853,200723193,206720858,211675968,215725790,219075271,221903810,264855534,265279090,231316957,232600158,233759602,233759605,232600160,232600159,233759603,234814962,235776540,274647294,238173673,266548104,239998123,240517230,240999080,241445053,241858445,242239663,242592422,242920917,243226866,243513055,243778966,244025535,244255123,244468640,244667916,244853684,244842601,244656613,244457004,244242708,244011299,267094306,243206348,242899038,242569037,242214661,241831383,241416274,240968065,240483946,239962413,266444070 Dl.O(d2) = 51115611,62746819,75694159,89459423,103558170,114718832,104160637,90033890,90033888,104160635,105941850,105941849,257459068,99636503,85687821,85687820,80367816,66942225,66942224,80367814,72102098,72102097,59369647,59369648,72102100,59369634,59369633,59369637,59369636,47979526,47979500,38067501,29504314,22164771,22164770,29504311,38067496,257232246,34669206,26676004,19858705,14227615,9780793,9780792,14227613,19858702,19296191,19296190,19296211,19296212,25961621,33770745,37701727,257480131,47624748,37701746,29140858,21833152,15764424,10917733,10917732,15764436,21833167,256358395,31534830,24032499,17681553,17681554,24032415,24032414,24032326,256030775,24032333,17681438,17681437,24032332,22802907,16585876,11566048,7698285,4872245,4872244,7698283,11566044,16585872,11566053,7698288,7698287,11566052,255496135,30193118,38777029,48699260,60095324,72832599,86427583,100383225,114406246,128282230,141632340,154287475,166039449,176679007,263573929,201329376,197270855,189581565,189581564,197270853,273785197,159214668,146841696,133584147,119709668,105470325,91247922,77327893,64179942,52328950,41988719,33045085,25317171,18739518,18739517,25317169,33045082,25489853,18885993,18885994,18928927,254441504,40870996,32099225,32099224,29376003,22045220,254190174,26704709,19883528,14246622,14246621,19883527,26704707,34699190,43974299,47796955,37872585,37872584,37798270,37798271,47718878,59116255,71854110,85438903,99379655,269964916,140582822,153264179,153264181,153264180,165081659,272353020,185320063,193614853,200723193,206720858,211675968,215725790,219075271,221903810,264855534,265279090,231316957,232600158,233759602,233759605,232600160,232600159,233759603,234814962,235776540,274647294,238173673,266548104,239998123,240517230,240999080,241445053,241858445,242239663,242592422,242920917,243226866,243513055,243778966,244025535,244255123,244468640,244667916,244853684,244842601,244656613,244457004,244242708,244011299,267094306,243206348,242899038,242569037,242214661,241831383,241416274,240968065,240483946,239962413,266444070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9688996, s2 = 3706508, dlinesl.size( ) = 2 s1 = 9688996, s2 = 3706508, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9688996, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10155666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2235882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9116068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14175853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340459, s2 = 2237555, int(edited[s2]) = 0 s1 = 10340459, s2 = 2237555, d1 = 15, d2 = 19 Dl.O(d1) = 256932428,255456294 Dl.O(d2) = 60133910,256442208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2237853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2237853, s2 = 6815324, int(edited[s2]) = 0 s1 = 2237853, s2 = 6815324, d1 = 11, d2 = 5 Dl.O(d1) = 60138167,48743364,38823160,30239902,30239901,38823158,48743361,60138162 Dl.O(d2) = 258799420,260040407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2237853, s2 = 6815324, dlinesl.size( ) = 2 s1 = 2237853, s2 = 6815324, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2237853, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7102657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7102657, s2 = 8648744, int(edited[s2]) = 0 s1 = 7102657, s2 = 8648744, d1 = 17, d2 = 19 Dl.O(d1) = 262618270,268904624 Dl.O(d2) = 50342230,61824930,257558762,261756189,166004474,262752212,261217032,258799869,260641143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7102657, s2 = 8648744, dlinesl.size( ) = 20 s1 = 3463864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3463864, s2 = 4438453, int(edited[s2]) = 0 s1 = 3463864, s2 = 4438453, d1 = 32, d2 = 31 Dl.O(d1) = 114454032,258176340,255942840,38825275,38825276,48745350,40461495,40461494,44367281 Dl.O(d2) = 139751593,152473679,164342380,164342376,152473677,139751592,139751593,152473680,164342379,164342380,175136439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3463864, s2 = 4438453, dlinesl.size( ) = 12 s1 = 6694716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8168340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2580907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2580907, s2 = 2290964, int(edited[s2]) = 0 s1 = 2580907, s2 = 2290964, d1 = 19, d2 = 10 Dl.O(d1) = 72888303,60152173 Dl.O(d2) = 61493940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2580907, s2 = 2290964, dlinesl.size( ) = 18 s1 = 2239149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8503781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6447530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6447530, s2 = 8304667, int(edited[s2]) = 0 s1 = 6447530, s2 = 8304667, d1 = 29, d2 = 52 Dl.O(d1) = 254549611,2956627,4905483,6945495,6945497,7070172,10701617,11609412,7729242,4892747,4892748,7729245,11609417,255501673,256444963,48769802 Dl.O(d2) = 72901080,258801645,100456014,100456013,100456014,272575329,257137219,257766542,8780538,12907763,18198113,24656641,22711835,16507761,11503386,7651796,255108933,11501904,9372336,6139316,6139315,9372335,13685714,19165343,18915628,13484855,11502766,11502767,11503328,11495257,7645720,255108341,22701893,30083732,35323178,27199356,27199357,256108872,53923031,65992051,79359187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6447530, s2 = 8304667, dlinesl.size( ) = 50 s1 = 8275761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6511959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6511959, s2 = 6841381, int(edited[s2]) = 0 s1 = 6511959, s2 = 6841381, d1 = 9, d2 = 10 Dl.O(d1) = 255413129,15555927,255299994,16657179,22885925,256446929 Dl.O(d2) = 259098702,38317397,46721826,38317344,29748371,22388505,22388506,257528013,72346499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6511959, s2 = 6841381, dlinesl.size( ) = 8 s1 = 1885250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7828398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7828398, s2 = 14274140, int(edited[s2]) = 0 s1 = 7828398, s2 = 14274140, d1 = 11, d2 = 9 Dl.O(d1) = 255338626,255338628,21033512,21033511,21033513,16492661,15136942,15136941,11748181,7843773,7843772,11748179,16801550,12385622,8369457,8369459,8375654,8110427,8110425,11914516,7969921,7969924,11914523,15411367,12379665,8365310,6048997,6048996,9235927,13499576,13535757,13535758,16178031,11244826,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,10590790,8375881,8375882,12394050,15743702,17399774,17399773,23308348,23717012,23717008,17574904,17384129,17384126,12378981,12378980,17549113,15136728,15136729,21072728,28276674,30285597,38871454 Dl.O(d2) = 38948389,30362349,22961066,16725155,11683068,7790628,4939515,4939514,7790627,11683066,16725153,22961063,30362346,255374602,58894179,256827888,60261142,48868131,38948385,38948384,48868129,60261138,72996817,72996819,257407242,77224320,72996813,256827882,99099957,85178410,71613916,58894177,47514435,47514436,58894178,71613917,61774734,255595246,37986352,37405689,37404552,37404551,38059525,44626811,36830693,28334311,21122518,17984082,17984081,24383572,29448531,29448530,29420946,29420948,29079598,21781617,15722591,15722595,16568159,11549398,7683887,7683886,9893690,9416577,6169767,6169770,254206014,19237116,25475943,25475944,24711869,24711868,26958951,20075226,14392725,9899022,254341274,20075230,21822433,15755745,14336771,14336770,10887954,7199892,7199894,10886677,7198819,7198818,10886689,15723345,21605011,15985378,15985374,15985296,15985293,22092868,19804792,19804791,21825998,23931752,23931751,23931740,23931741,20017443,14336608,14336609,20017448,26899575,34979019,37511227,37511224,47419015,58806301,70969988,254687004,39028846,30439413,30439414,39028847,269069077,37987273,35036911,35007523,26925700,20041034,14356237,9864181,6479587,6479586,9864175,14356227,20041012,14359654,9867095,6481792,4061735,4061734,6481791,9867088,10911782,7216655,7216656,7216634,7216635,10911753,15755925,15759060,15759061,15984797,11096979,11096980,15984802,20071212,19237104,19237105,25897410,25897359,25897362,26943675,29132211,21825108,21825107,24005015,20067137,20067136,26933155,20046924,14361150,12488072,12488069,15499932,20052213,14366575,14366574,20052212,15757031,10912426,7216975,4547222,2733523,2733525,1584000,1584002,2733621,4547422,7217372,10913125,15757230,21824467,23479763,17196830,12092442,12092439,17196819,23479744,24004775,24712717,24712718,28862441,35014568,31422331,23931885,23031225,17045977,14366044,9872599,6485667,4064035,4064036,6485671,6485602,6485603,9872485,10911908,10911907,15756170,21823018,21588842,21588843,28863061,26926369,26926368,35007497,255327378,35039724,35039723,38059423,254971758,25031810,31422613,24711761,24711762,29132096,21825002,254686466,254686464,21825000,29132091,254315234,22155964,26925504,22682128,16483846,16483845,16035197,11133899,11133902,11484892,16483376,22681458,25144568,32851520,33149624,35041894,26961713,26961714,35041899,33022793,33022792,41965532,33025666,25299527,18724968,18724967,18724978,19284106,25948027,33755743,42786723,41968624,33025730,33025729,41968623,49246882,39320086,39320085,35034239,35034240,30801062,30801061,36986169,28489325,28489327,268086042,70949747,84513341,98434798,269340888,139655460,259998530,99830140,271803595,141068154,153734394,165510677,176186288,185644436,193896597,200969892,206935698,206935697,211864656,211864659,211864658,215892169,265201199,216609314,264634010,202126719,263725628,177886975,167392283,155759873,143207676,260879990,101936128,270387431,257207940,31403306,256314602,50104497,47297874,37388612,37388611,47297872,37388614,28848673,21577044,21577043,28848671,37388610,31338027,31338026,40016965,50036369,61515394,52285313,41944721,256149108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7828398, s2 = 14274140, dlinesl.size( ) = 2 s1 = 7828398, s2 = 14274140, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7828398, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 6536874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2241377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2241377, s2 = 13591526, int(edited[s2]) = 0 s1 = 2241377, s2 = 13591526, d1 = 13, d2 = 3 Dl.O(d1) = 60195003,258181009,86532666,100491390,100491393,257572374,72934282,72934283,86532669 Dl.O(d2) = 114515292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2241377, s2 = 13591526, dlinesl.size( ) = 2 s1 = 2241377, s2 = 13591526, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2241377, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 6603913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3198116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6658034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6658034, s2 = 14353803, int(edited[s2]) = 0 s1 = 6658034, s2 = 14353803, d1 = 25, d2 = 76 Dl.O(d1) = 257023652 Dl.O(d2) = 78032696,257821275,42641232,47275577,52910219,47275579,37365475,28825176,21554495,21554497,28825180,33622949,41468336,37365605,28825335,21554628,15534405,15534406,21554632,28825341,37365617,37596623,29048841,29048840,29781698,29781697,38354396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6658034, s2 = 14353803, dlinesl.size( ) = 46 s1 = 1888375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13352839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7992091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1815972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1815972, s2 = 10217298, int(edited[s2]) = 0 s1 = 1815972, s2 = 10217298, d1 = 1, d2 = 1 Dl.O(d1) = 255594765,31790230,26295911,26295910,34163663,33641162,25838029,25838027,33641155,40485058,31790039,31790038,40485054,34163033,34163034,43253487,50520672,50520673,53770081,43254162,34163943,26296218,19573893,14022114,9639005,6336417,6336418,9638966,9638967,14021926,9638888,6336330,3974731,2381528,1378319,1378318,267815641,3974524,2381356,1378224,1378225,2381364,3974535,6336091,254662868,6336077,9638551,13801760,254305226,6336345,6336817,3975034,2381700,1378417,254149516,3975032,6336815,254150590,6336027,9464648,6205942,6205941,3974647,3884390,2325966,1348313,1348312,2325938,3884344,267739114,2381465,1378274,784096,784097,1378306,2381507,2325960,2325961,3884384,2401542,2401543,4007335,3974601,3974602,2381575,2381574,3974831,6336501,9639131,14022263,14021230,13801667,13801668,14021457,9638527,6336043,3974508,2381348,1378220,784046,784045,1378218,2381345,2381324,1378211,1378210,2381320,3974467,3974813,2381684,2381682,2325941,2325934,2325933,3884335,2381480,2381475,2381451,2381449,3974395,6335882,6335985,9638466,6336176,3974610,3974611,6336178,254954747,19573184,26295444,34163294,36548225,28079977,20907245,15002185,10332499,6800555,6800556,10332501,15002191,20907255,28079994,36548260,41604782,41604781,46483482,36617063,28143184,28070459,20899162,14994956,10325831,6794666,6794662,10325818,14994946,20899139,28070425,28117617,20940496,20940481,15032087,15032086,10359862,10359861,15032108,20940521,20907239,20907238,16998498,11912595,9081920,9081919,13300290,13292928,13292929,18686052,19211004,25868699,32978208,32978207,25256943,25256944,32979885,25264848,18693385,15027534,15027536,18664784,18664786,25233687,23261477,23261479,30677804,39274442,41920154,32980039,25257047,18685942,13292853,13292854,14994937,20899124,25257145,25257146,32980175,41920305,36590574,36537397,28117632,20940510,15032104,15032105,20940516,28117639,30678047,23261648,23261647,25257184,25257163,18686011,18686010,25257160,32980188,32980209,25257177,18686018,18686016,25257172,32980200,41920325,36537381,28070451,28070452,28070411,28070413,36537333,46398236,57749046,52258329,41920105,32980000,32980001,25257065,18685950,13292860,9075166,5934828,3710891,3710892,5934831,9075174,13292871,18685972,25257107,32980125,257769897,77253924,70507625,57806455,57806456,52258143,52258144,64106952,65991423,65991422,71651983,85217730,97709885,84042851,84042850,85217741,71651995,58930094,58930095,71652001,85217747,99140457,99140629,113131105,105394226,91172339,77253890,77253889,85218012,99140684,85217983,71652233,58930264,58930265,71652235,84042853,85217779,71652025,257845780,65991439,53922441,43397071,43397070,41919945,41919946,52258140,64106943,77253662,71652146,58930205,58930204,58930235,47547905,47547906,58930238,63888954,52071208,52071207,63888952,76998986,85217999,71652247,71652248,85218001,85217808,85217807,99140513,85802941,85802940,93495432,93495431,85803007,72208613,59470618,48079715,48079717,58930158,47547853,37641413,256897827,47547871,47547870,38166748,37641441,37641438,37641515,47547991,58930357,71652349,85218135,71652426,58930426,47548034,37641542,37641543,47548036,58930428,257516343,48079674,59470414,72208440,85802891,99756997,113771116,259321066,71652058,71652051,71652049,71652261,58930291,58930293,71652271,71652348,58930355,58930123,47547829,37641402,37641400,37641494,29090868,21792701,21792702,29090891,34570056,38883403,38883402,48805354,48805353,54587805,48079637,38166688,29599795,22250215,22250214,22250263,16112238,16112239,16112218,11191752,7425894,7425895,11191755,16112224,22250243,29599836,38166364,38166777,38166776,38883423,30297962,30297964,38883426,48805405,60201761,69431383,69431382,72208461,72208501,72208502,80275283,72208420,66846339,54587507,43842967,37641531,37641504,34570070,26583124,19779524,14167565,14167566,19779529,16669210,16669209,22899588,30297946,38883353,30297928,22899583,22899582,29599783,29599784,34570175,26583206,19779584,14167608,14167610,19779588,26583211,26584280,26584279,34570209,256720143,43842520,43842521,256720173,34570881,269172411,54587771,43843315,43842529,34570583,26583563,26583564,34570587,268811741,26584045,19780156,14167996,14167999,19780167,26584059,34571184,34570234,26583239,26583174,19779565,14167590,9739949,6404709,6404711,9739956,14167603,9739985,9739986,14167651,9740248,6404848,6404847,9740239,14168111,19780340,26583985,26583986,26584311,26584244,26584235,26584212,19780303,14168091,9740226,9740225,14168083,19780290,26583550,19779808,14167753,9740055,6404772,6404774,9740059,14167762,10029044,10029043,14574773,19780137,19780136,26584024,26584364,34571470,34571234,34571127,26583978,26583979,26583134,19779533,14167568,9739942,9739943,14167571,19779536,26583136,26583486,19780359,19779877,19779876,26583632,26583634,255312232,26584144,19780228,14168036,9740197,6404828,6404829,9740200,14168044,19780243,26584152,34571265,41962036,43843144,34571255,26584141,19780226,19780227,26584143,30215442,30215443,38799435,34571462,34571461,33373878,33373879,42362710,40721934,31974929,24421465,18009701,18009702,256057701,40721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41728233,40485102,31790068,31790069,40485103,41727430,32807059,25104860,18555858,13185059,255243287,25104856,32807055,34163959,34163224,26295352,26295350,26295349,256182563,43253632,40485294 Dl.O(d2) = 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41728233,40485102,31790068,31790069,40485103,41727430,32807059,25104860,18555858,13185059,255243287,25104856,32807055,34163959,34163224,26295352,26295350,26295349,256182563,43253632,40485294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1815972, s2 = 10217298, dlinesl.size( ) = 2 s1 = 1815972, s2 = 10217298, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1815972, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 11657612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657612, s2 = 14865098, int(edited[s2]) = 0 s1 = 11657612, s2 = 14865098, d1 = 15, d2 = 5 Dl.O(d1) = 112321931,259283483,70872349,58158345,46790947,36913372,28415702,21193811,15230264,10506155,6927866,4352286,2606613,1504224,1504223,2606612,2606628,1504232,852681,481574,481572,852675,1504217,1505796,853685,853684,485001,272825,151197,151198,272826,485003,859145,1515502,2625461,2551540,1469791,1469792,2551541,4264142,4264145,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326087,10327927,6796491,5588377,3466987,2055804,1179347,662177,367123,367124,662180,1179357,2055822,254420881,6776238,4247454,4247455,6776241,4354713,2608486,2608487,4354715,2625541,2624303,1514614,1514615,1506275,853996,853995,1506274,2609565,2624264,2624263,4381898,6934374,4357254,4357253,6934372,4381881,4381882,6975155,6937357,4359382,4359383,6735142,4352620,2608253,2608252,4354398,6930489,6930256,6930257,6930274,6930273,4360012,4360013,6938316,10514056,10514055,10515239,6934368,4357249,2610421,2610422,254491458,8606509,5592787,3469818,3307245,1945671,1111521,1111519,1111530,1945695,3307291,5378438,5592761,8606466,12673138,8615926,5600645,5600644,5592651,3469739,3469738,5592649,8606263,11749933,11749932,10576658,6976737,4383092,4383091,6976733,6932525,4355693,2609103,2609102,4355692,6932523,10512961,15239820,21206068,24270720,21206194,17904478,17891587,12673153,8606477,8606476,12673152,17891586,18813676,17891395,12672955,8615079,6940436,4361634,2613680,2613681,4361638,6940445,8615680,8615681,12684283,15247778,15247777,21216082,28441689,23833815,17494929,15243424,10516027,6935003,6935004,10516028,15243425,21210072,28434283,36933040,46811440,48878996 Dl.O(d2) = 73005493,270991712,144726829,131500302,117693827,258347800,144726829,131500301,117693827,103558277,103558278,117693828,131500303,144726830,157126245,168571491,178870757,262422322,195889527,202676216,208377882,213080206,216925427,220114361,222809623,225128425,227143266,228901890,230451886,231829182,233067842,234187430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657612, s2 = 14865098, dlinesl.size( ) = 18 s1 = 8210055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8210055, s2 = 6756737, int(edited[s2]) = 0 s1 = 8210055, s2 = 6756737, d1 = 11, d2 = 9 Dl.O(d1) = 63275759,269467740 Dl.O(d2) = 38969553,30383343,22981246,16744048,11699339,254633222,4948642,4948641,7803378,5508243,5508242,8507748,12548511,17735405,24093248,31596765,40280921,50301105,258126270,64625572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8210055, s2 = 6756737, dlinesl.size( ) = 2 s1 = 8210055, s2 = 6756737, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8210055, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 14162654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163190, s2 = 6518433, int(edited[s2]) = 0 s1 = 14163190, s2 = 6518433, d1 = 4, d2 = 11 Dl.O(d1) = 30401514 Dl.O(d2) = 255489714,268634229,25838743,19185227,13701188,13701189,255689961,33641978,257230985,65107975,58736590,47348846,37442106,28902507,28902506,37442105,47348845,41792789,32871710,25164070,267939092,9015572,5886117,3675120,254438169,9015575,6515848,4082693,2442847,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9119049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9119049, s2 = 11207864, int(edited[s2]) = 0 s1 = 9119049, s2 = 11207864, d1 = 9, d2 = 61 Dl.O(d1) = 28446281,30405641,30405640,38994983,39964041,37437809,36419296,36419295,28446047,21219943,15250965,10521366,10521364,15250958,21219928,28446027,27961558,20799624,256267323,30776890,39378408,49306084,46823711,36945790,28446018,256307283,256704720,59237554,60708356,60708355,73456761,72647893,72647894,60321536,60321535,73062602,67818942,55476690,55476691,48918880,48918881 Dl.O(d2) = 257186638,27007807,20116441,20116442,22801007,16584046,11564442,7697150,7697151,11564447,16584055,17397766,17397763,23721627,258249023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9119049, s2 = 11207864, dlinesl.size( ) = 20 s1 = 14163228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163228, s2 = 6709077, int(edited[s2]) = 0 s1 = 14163228, s2 = 6709077, d1 = 0, d2 = 0 Dl.O(d1) = 254166956,22328141,22328140,29679530,29686911,29686912,29709772,22354424,16788033,16788032,15115569,10426186,10426187,15078592,11253833,254072128,4974789,267735498,16787952,254124464,20992163,16198710,11260438,254237708,16224074,22381010,29738534,36648762,254100242,22339062,254237848,26142848,254775142,14906250,10249063,10249062,14905962,20799304,20799305,27961180,30405641,23000475,23000477,268524752,37437809,36419296,36419295,28446047,21219943,15250965,15250964,255817741,36945815,46823745,255714750,41468358,36945810,28446036,21219935,15250960,15250958,21219928,28446027,27961558,20799624,256267323,30776890,39378408,49306083,48918880,48918881,257195508,48721292,38800339,30216271,30216272,38800341,38999091,38999090,48922982,48923004,257579271 Dl.O(d2) = 254166956,22328141,22328140,29679530,29686911,29686912,29709772,22354424,16788033,16788032,15115569,10426186,10426187,15078592,11253833,254072128,4974789,267735498,16787952,254124464,20992163,16198710,11260438,254237708,16224074,22381010,29738534,36648762,254100242,22339062,254237848,26142848,254775142,14906250,10249063,10249062,14905962,20799304,20799305,27961180,30405641,23000475,23000477,268524752,37437809,36419296,36419295,28446047,21219943,15250965,15250964,255817741,36945815,46823745,255714750,41468358,36945810,28446036,21219935,15250960,15250958,21219928,28446027,27961558,20799624,256267323,30776890,39378408,49306083,48918880,48918881,257195508,48721292,38800339,30216271,30216272,38800341,38999091,38999090,48922982,48923004,257579271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163228, s2 = 6709077, dlinesl.size( ) = 2 s1 = 14163228, s2 = 6709077, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163228, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 656590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6691471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6691471, s2 = 1201980, int(edited[s2]) = 0 s1 = 6691471, s2 = 1201980, d1 = 6, d2 = 6 Dl.O(d1) = 257419358,46652431,258108813,269307552,256305484,30428224 Dl.O(d2) = 257419358,46652431,258108813,269307552,256305484,30428224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6691471, s2 = 1201980, dlinesl.size( ) = 2 s1 = 6691471, s2 = 1201980, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6691471, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1892698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7973095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16202181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2248217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2248217, s2 = 7714705, int(edited[s2]) = 0 s1 = 2248217, s2 = 7714705, d1 = 30, d2 = 23 Dl.O(d1) = 60359288,48964128,39042762 Dl.O(d2) = 273503218,262591484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2248217, s2 = 7714705, dlinesl.size( ) = 22 s1 = 9694304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2248357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2248357, s2 = 7127678, int(edited[s2]) = 0 s1 = 2248357, s2 = 7127678, d1 = 1, d2 = 42 Dl.O(d1) = 60360979 Dl.O(d2) = 263727939,262941519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2248357, s2 = 7127678, dlinesl.size( ) = 42 s1 = 2038010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2038010, s2 = 10178056, int(edited[s2]) = 0 s1 = 2038010, s2 = 10178056, d1 = 7, d2 = 7 Dl.O(d1) = 53019473,255874178,18712234,18712235,20345111,14602482,10047885,10047884,10047820,10047817,14602371,13634089,9336044,6115281,6115280,4846347,2920358,1694011,963281,963282,1694014,254362571,7659756,11514883,16522424,22727796,24341049,17950570,12720259,8643199,256053035,40564800,50605824,62104467,74907943,88546457,101688367,101688368,115733031,101688365,101688366,87714623,74108358,61325311,49842034,39818615 Dl.O(d2) = 53019473,255874178,18712234,18712235,20345111,14602482,10047885,10047884,10047820,10047817,14602371,13634089,9336044,6115281,6115280,4846347,2920358,1694011,963281,963282,1694014,254362571,7659756,11514883,16522424,22727796,24341049,17950570,12720259,8643199,256053035,40564800,50605824,62104467,74907943,88546457,101688367,101688368,115733031,101688365,101688366,87714623,74108358,61325311,49842034,39818615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2038010, s2 = 10178056, dlinesl.size( ) = 2 s1 = 2038010, s2 = 10178056, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2038010, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 9696660, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1893334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9689106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9424993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2249056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9685666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2249362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2249362, s2 = 15316445, int(edited[s2]) = 0 s1 = 2249362, s2 = 15316445, d1 = 4, d2 = 0 Dl.O(d1) = 60386099,48988544,42578213,33561547,33561549,42578216,38585560,38585559,35146652,27061087,20167254,14468858 Dl.O(d2) = 3010389,3010388,4983685,7851597,11759714,16814745,16814746,23063408,29972029,32676389,32676388,33487910,38537386,29971251,22606181,16423143,16423142,22606179,16811707,255513411,30468252,39058769,256054631,24363010,22344043,255466471,16194935,11757845,7850422,7850421,11757849,16814428,23062997,29062631,21766761,21766760,23882361,23882362,23062992,16814425,16814426,23062994,29062635,29062633,256354525,23063009,23063010,17536140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2249362, s2 = 15316445, dlinesl.size( ) = 12 s1 = 13516067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163115, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9379326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6605144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6605144, s2 = 8131318, int(edited[s2]) = 0 s1 = 6605144, s2 = 8131318, d1 = 13, d2 = 28 Dl.O(d1) = 256461215 Dl.O(d2) = 257813454,255054533,2727145,1580075,898242,898243,1580078,2727125,2727126,4536983,7201267,10889546,14500045,10881918,7194748,7194747,10881914,9977600,6557999,4108506,2457565,2457566,4108510,4539208,2728343,1580720 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6542374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6489266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6489266, s2 = 9670345, int(edited[s2]) = 0 s1 = 6489266, s2 = 9670345, d1 = 11, d2 = 23 Dl.O(d1) = 255132511,7872337,268421891 Dl.O(d2) = 257082188,21147772,21163695,268240754,15194748,10489264,10489265,10830811,7159588,4509309,2709602,1569699,1569700,2709605,4509315,7159597,6917663,4345574,4345576,6916509,6916508,10489514,255383953,21687241,21687240,15997555,11105766,254764218,2802914,1625992,1625991,2802912,4652806,7365429,11105749,15997545,21165803,15208884,10491163,6917994,4345958,4345960,5191187,8101233,8101232,6917020,4344997,2601768,2601767,4344992,3166202,1853510,1853511,3166205,5189494,7625169,4824326,4824325,7625166,11463798,16453290,21165785,21165786,28383637,29446337,29446338,22643226,16453288,254812358,12049972,17145749,17147230,12051144,12051143,15967522,15997618,22109342,23422803,17145743,12049967,12049968,17145745,15648069,10830869,7159627,7159628,10490191,254492793,2601872,254329455,6917147,10490192,15207709,21164312,18350974,13028108,8871403,5783994,5783996,5784046,254633267,13028248,18351177,24847002,18350931,18350932,18351194,13028260,13028261,255629785,256487031,29750697,23424516,23424517,25443053,25443054,33188597,42147929,52505964,49735550,49735551,42147919,40511039,33188711,33188684,25443148,18846345,13427718,13427717,13427766,18846402,25443213,23423874,17146662,17146663,23423876,30854719,39459093,256556641,24293970,24293971,17924176,12699924,8628169,8628172,8627213,8627212,8621092,5605005,3480230,2065582,2065580,3480226,267916815,12690649,17912605,17911764,12689913,8620471,5604529,5604528,8620468,12689911,12688029,12688030,12700261,17908159,12690427,12690428,12685558,8616589,5601061,3476781,3476782,3484614,2069089,1187974,1187975,2069094,3477781,2063679,1184391,1184390,2063675,2064414,3478720,2065345,2065346,3479899,5604508,7106656,4474222,4474223,268073797,28847713,256879001 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9670344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9670344, s2 = 7580776, int(edited[s2]) = 0 s1 = 9670344, s2 = 7580776, d1 = 7, d2 = 2 Dl.O(d1) = 256879000,28493079,268073796,4673488,4673487,7397764,11153245,7501431,4741773,4741772,6911558,10483213,9969194,6551933,4104573,4104574,6551938,9969208,14489057,16880199,15574452,10773397,10773396,11298714,16251733,15574416,10773367,7118382,7118381,10773364,15574412,21601973,28877238,37418836,30557698,23140417,23140418,28877178,24287972,17906622,17906621,17920258,267916814,5608622,3483050,2067706,2067707,3483054,5608628,8625888,12696849,11810114,11810111,16880309,23140481,30557732,37418791,256556640,59775938,50557315,47890044,37971737,36958762,28458555,21232915,15263503,10531336,6945367,6945368,10531340,15263508,21232922,28458567,30427675,29929475,22569120,22569119,29929472,38489597,48392634,57881005,49083455,39153338,39153337,38489749,256487030,255629784,48392646,48392645,48392871,48392854,48392853,48392692,38489695,29929082,254633266,38489640,38489641,48392621,48392668,39153606,30555939,30555938,30555527,23138088,16877820,254329454,7886777,254492792,7501864,7501865,7887407,7890019,7887449,5009329,3028921,3028920,5009181,7887223,11808208,16878226,16252509,16252511,22417765,16878551,11808527,7887469,254812359,16878549,23138779,16882146,11811682,11808383,7887356,7887355,11808381,16252083,16252084,15996338,11811305,7889677,5010835,3029847,3029846,5010833,3030746,1763447,1763448,3028852,1762378,1004065,565834,316920,175235,175236,316921,565837,1004071,1762389,3028870,5009252,7887339,11088054,7353359,4644939,2797922,2797923,4644941,254764219,15973424,11813104,10776253,10776254,255383952,11811615,7889910,7889911,11811617,16879692,23139956,23139658,23139657,16879366,11809244,11809243,16879363,22417661,16882074,11811611,7889908,7889907,11811608,268240755,29966105,29966103,257082189 Dl.O(d2) = 268421890,33607706,255132510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9670344, s2 = 7580776, dlinesl.size( ) = 5 s1 = 8282967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2253284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6493912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13371941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6515520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2254664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2254664, s2 = 9362483, int(edited[s2]) = 0 s1 = 2254664, s2 = 9362483, d1 = 13, d2 = 25 Dl.O(d1) = 60509075 Dl.O(d2) = 15883518,15883519,21978527,21978528,256372901,37875289,47799321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2254664, s2 = 9362483, dlinesl.size( ) = 20 s1 = 1196912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1196912, s2 = 7682733, int(edited[s2]) = 0 s1 = 1196912, s2 = 7682733, d1 = 48, d2 = 45 Dl.O(d1) = 30301790,254525528,28809467,21541834,15525308,15525310,21541838,28809473,37347948,30581819,30581817,39179525,48722705,49108853 Dl.O(d2) = 272411412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1196912, s2 = 7682733, dlinesl.size( ) = 30 s1 = 10350827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346076, s2 = 10350826, int(edited[s2]) = 0 s1 = 10346076, s2 = 10350826, d1 = 38, d2 = 30 Dl.O(d1) = 255190150,11113521,11113522,10966590,7258816,7258817,10966594,15825197,21906156,20024865,20024864,22120608,16006833,11112688,7370298,4656080,4656079,7370289,11112665,16006801,15825345,15825343,21000046,15084330,15084329,21000044,28182938,36659516,29221245,22120946,16007169,16007167,22120940,29455036,38017280,40468939,40468938,36659502,36659503,39378837,30777288,30777287,29455616,29455615,38017766,37398064,28857224,28857222,37398062,40468842,31773961,31773962,40468843,50504685,42315527,42315528,39378834,38017424,31733807,31733806,40428109,47688321,255190660,23353440,17085787,17085786,23353437,30777335,39378892,40468874,40468873,31774031,24261784,24261783,31774027,40468916,50504744,50053432,40033521,31353549,23860010,17516556,16179092,16179091,22324328,29675215,29675803,38240399,48149590,48713327,46586529,37388470,28848560,268118372,29675890,22324894,16179498,16179497,22324892,21234824,21234825,22814685,16596146,256439551,40185922,40185921,50208038,61689949,257626456 Dl.O(d2) = 257903844,30026580,27181799,27181800,35300909,37877729,255943400,22202716,16073264,11161614,7403665,4677297,4677294,7403697,11161683,16073653 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2255951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9566806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9566806, s2 = 14093167, int(edited[s2]) = 0 s1 = 9566806, s2 = 14093167, d1 = 10, d2 = 1 Dl.O(d1) = 98533828,112528108,120287233,120287234,134118242,147330107,159678023,170992818,181097936,273635033,201577410,194594911,194594912,186442135,177087767,166506711,154800395,142166243,260538680,86883737,73272235 Dl.O(d2) = 60527491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9566806, s2 = 14093167, dlinesl.size( ) = 2 s1 = 9566806, s2 = 14093167, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9566806, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 2609826, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657820, s2 = 13308160, int(edited[s2]) = 0 s1 = 11657820, s2 = 13308160, d1 = 25, d2 = 56 Dl.O(d1) = 16699830,16699805,16699807,16699823,254127120,22932434 Dl.O(d2) = 88257070,87724945,259491893,87591940,87591941,99498456,99498455,85551597,71964024,59225875,47827904,39715820,31038348,23556314,17247269,17247268,268433967,37906188,29337371,22005990,22005991,29337372,256917337,31634781,24127981,17764975,17764977,24127986,31634774,24127973,17764971,17764972,24127976,31634773,40323838,31634764,257674521,50350478,257027268,61834464,50350464,40323835,31634754,24127960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657820, s2 = 13308160, dlinesl.size( ) = 2 s1 = 11657820, s2 = 13308160, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657820, Dl.E( ) = 66, 2.98e-05 seconds used appending s1 = 2597320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1902022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1902022, s2 = 8459139, int(edited[s2]) = 0 s1 = 1902022, s2 = 8459139, d1 = 32, d2 = 101 Dl.O(d1) = 49144881 Dl.O(d2) = 100876483,114926421,114926422,128823334,261786721 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1547326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1005827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8139656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8139656, s2 = 7690607, int(edited[s2]) = 0 s1 = 8139656, s2 = 7690607, d1 = 30, d2 = 26 Dl.O(d1) = 262262300,257331841,35368634,27244729,20313319,14577775,10031096,10031097,14577781,11853472,255969357,39228263,49154513,60553780,73296772,86906887,260067153,261241516,86906882,73296767,258826450,38117233,38117234,257511875 Dl.O(d2) = 272697739,260862595,105533519,270510907,64245885,64245884,270510905,105533518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8139656, s2 = 7690607, dlinesl.size( ) = 2 s1 = 8139656, s2 = 7690607, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8139656, Dl.E( ) = 32, 8.11e-06 seconds used appending s1 = 11656878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656178, s2 = 14157805, int(edited[s2]) = 0 s1 = 11656178, s2 = 14157805, d1 = 3, d2 = 6 Dl.O(d1) = 39241052 Dl.O(d2) = 257129114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656178, s2 = 14157805, dlinesl.size( ) = 2 s1 = 11656178, s2 = 14157805, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656178, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1903208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9430372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1903836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6824356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2036931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1905094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163518, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6560473, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2262142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2262142, s2 = 1341228, int(edited[s2]) = 0 s1 = 2262142, s2 = 1341228, d1 = 16, d2 = 119 Dl.O(d1) = 60638649 Dl.O(d2) = 33707621,42737180,257826821,78454122,92491454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2262142, s2 = 1341228, dlinesl.size( ) = 2 s1 = 2262142, s2 = 1341228, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2262142, Dl.E( ) = 120, 4.51e-05 seconds used appending s1 = 8069164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2262190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9470959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9185046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8156751, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2923466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10333927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10333927, s2 = 13399874, int(edited[s2]) = 0 s1 = 10333927, s2 = 13399874, d1 = 8, d2 = 11 Dl.O(d1) = 6405051,9740576,14168678,19781117,19776557,19776556,26576532,26585201,23344777,17078381,17078382,14165294,9738511,9738510,14165290,19776517,26579433,19781061 Dl.O(d2) = 14168636,9740555,9740556,14163462,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018743,23018772,23018774,19774278,19774279,24139679,30767088,23343863,23343149,23343150,255089622,38418886,29850896,29850895,26579578,22485678,16313597,16313598,22485679,29850936,30767226,23344020,23344021,26579573,19776628,19774095,14163721,14163720,14168378,14168377,19780680,23343927,23343928,26578997,26578996,34565604,34563543,26629403,26629402,26578168,19775424,19775425,19780731,19780729,26584757,256720239,39488988,268429245,23451586,30883008,39371490,30770922,255911540,37848366,29280613,29280612,37848365,268111250,268111252,16263389,16263390,22430699,29797160,37379795,30581503,23163926,23163927,30581337,23163796,16901479,255965669,257011367,258200347,86870600,86870602,73258072,60511849,49108724,49108725,60511850,73258074,86870608,271365121,114902225,100851530,86870603,86870604,260064379,260078757,261163812,114902231,114902230,128799436,115968134,115968135,115968143,101923878,87951257,74348947,61572079,50092152,40071006,31388569,31388570,40071008,50092156,40071012,40071011,40071003,31388568,31388567,40071001,50092148,49305752,39378059,30776536,23352743,255979757,39378062,257607291,60708058,71404329,58670075,257200700,258405956,101070356,98926050,98926051,112891148,101070358,87074102,73456450,73456451,87074103,101070355,98249339,98249340,112227456,101070351,87074093,73456442,60708064,60708065,73456444,87074095,98926054,85124950,257474910,71428206,58695426,58695427,65391067,65690782,53641301,53641300,65690780,58695437,58695436,59032876,61226368,61226367,59087443,47688686,47688687,59087459,53387708,46723529,36840744,36840745,46723532,46622098,46622097,39727852,31049017,31049016,33875907,33875893,33875894,42921609,53387706,48336819,48336818,46723362,40498237,40498238,50533558,58095584,46723613,46723612,46723262,46723263,47439807,47439802,37531652,37531650,36840589,36840588,34640901,34640900,28344024,28344022,28986932,28986931,28986913,28986914,37531701,29205909,29205908,37767386,40086277,38432331,29871714,29871715,38432336,38572081,38572079,37531556,28986802,28986801,37531551,47439714,255831804,21703548,15662495,255033648,28986989,26968583,20083258,20083259,26968585,35049758,37531487,257307923,35049745,26968568,26968569,35049746,26968593,26968573,255327989,9904398,6509803,6509804,254975005,255742989,35049743,26968579,26968578,26968592,26968591,35049761,257307925,67612641,55271782,44424500,269191301,26968577,26968576,35049749,44424496,55271777,67612637,57714337,57714338,70408471,83934697,95138022,83934699,70408473,57714341,57714342,55271780,55271779,46364840,36506475,36506476,46364843,57714345,60208298,60208297,257052032,53378427,53378428,65382347,75375715,75375716,65382343,58546647,47158409,47158410,58546649,58546653,52314679,47158505,37253701,37253700,33030924,33030925,41974178,41974180,256116075,18729087,13332984,9109967,254914763,18729089,25304436,33030931,41974186,52314688,64166238,64166229,52314667,52314666,64166227,259016755,91233606,105455026,113937872,113937874,270843993,72362062,59627420,48240222,48240221,59627418,72362058,85957084,85957102,72362074,59627429,59627430,72362076,72362083,85957083,72362090,72362091,85957114,99914744,85957091,85957092,258138261,48240233,38330183,29759907,29759908,256406443,29759909,38330185,48240237,59627442,59627421,48240223,38330177,29759904,29759903,38330175,48240220,38330187,29759910,29759911,38330189,38330179,38330178,48240225,59627425,72362068,72362070,59627426,59627427,72362066,70856482,58142240,58142239,58142236,58142235,59531768,48144343,48144342,48844283,48844284,255860074,86572754,85857614,72265941,72265942,65381763,53377818,42911537,42911538,53377820,65381767,78686359,84414023,72071602,270317453,270377726,72071599,59337391,47945713,47945712,59337388,47945714,38031932,29469254,29469255,38031933,47945717,59337399,72071609,85658646,99608072,112612539,98617723,84693177,71128929,58411010,58411009,71128927,84693175,98617722,85671697,84693180,268751836,58411011,71128931,72085423,59352216,59352217,59352215,47961565,38048520,29485034,29485033,29485032,38048518,47961562,59352199,47961552,47961551,38048524,29485037,29485038,38048526,47961549,47961544,38048503,29485021,22146720,16027778,11128460,11128461,16027780,22146724,29485028,29485029,38048512,47961557,59352205,72085416,85671742,85671703,85671704,99620236,113633755,113633787,99620256,85671734,72085408,59352197,59352198,72085410,85671737,99620262,85671771,72085445,72085400,59352193,47961543,38048496,29485017,29485016,29485047,38048531,34264427,34264428,38048530,255133168,16027784,11128465,7381314,7381313,11128463,268195731,22146715,22146716,29485003,22146708,16027771,16027772,22146711,29485008,22146736,16027786,16027785,22146734,29485044,31798399,37834154,29268014,21945753,15856751,15856750,17903602,21945755,15856752,10990505,7275492,4588304,2760534,2760535,4588306,7275495,10990510,14086540,9689168,6373286,3999201,3999203,6373298,9689185,6931645,6931646,10511639,15237840,10512381,10512382,7602626,4809558,4809555,7602617,11434547,9759660,6417005,4025777,2412450,2412449,4025775,6417003,4025939,254212909,1396362,2412526,4025942,254681533,254784104,26632681,23625267,17309733,12185844,8216367,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578342,6066022,6066019,9261594,13531354,18966805,19654443,19660260,14092326,9692722,6375175,4000136,2397243,1387273,1387272,2397236,4000080,2397283,1387289,1387287,2397276,4000044,6374998,6372697,3998934,3998933,6372694,9688038,268164135,254966927,9789263,14240304,14090540,9691590,6374572,3999827,3999829,4814458,4814457,7610002,11443701,16428462,16428560,16568729,21185481,21185480,23394628,20795628,14902997,10246759,6732533,4218059,254479417,10246753,14902987,20795613,27957187,33374248,30817650,30817649,39422884,40291748,38084768,29520192,254801070,16051980,22177670,29520189,38084764,47996886,47996890,47996891,53889063,43365014,43365015,38084770,38084769,47996893,59385890,59385893,72117505,85703003,85703001,85703000,84343469,70784449,70784448,73462733,70784440,58066853,257008778,28314442,21104181,21104182,28314444,36810947,46694286,58066860,60714755,257589484,46694281,58066852,70784438,73462745,60714759,60714760,73462746,84343457,73260032,60513992,49111215,49111217,60513995,73260030,73260031,73260036,60513997,49111218,46663223,46663224,58035904,60513984,60513983,64176601,60513987,60513986,49111247,39181766,30584002,23166056,16903327,254614536,30583998,39181763,49111244,49111209,39181732,39181733,254873594,60513981,60514024,60514025,60514027,60514003,60514004,58063299,46690428,36806568,28309672,28309671,36806567,30583975,23166041,23166043,30583979,39181731,49111206,57984618,255589752,49111202,39181726,36719666,28226133,21029931,254578954,10418246,15104959,21029930,28226131,36719654,36719653,46607843,57984614,70702024,84253460,270834371,85587375,258734541,72000770,84343460,70784437,58066850,46694280,46694279,258025209,84343458,88458950,74825486,72000768,59264675,258110959,72000736,59264629,59264630,59264669,47869145,47869144,59264668,270316095,72000739,270316093,269334371,256378667,29386562,256920809,59264644,59264645,47869139,47869140,258110957,61384504,74165106,86101627,86101628,100067158,114098121,114098134,114098133,114098127,100067166,86101634,72502758,59768456,48385633,48385634,59768458,72502761,72502754,72502745,72502744,59768439,59768438,59768464,48385641,38482995,29922885,22563471,16383870,16383869,255919205,38482985,48385623,59768446,259371930,38482972,48385603,59768419,256634570,48385597,48385598,59768412,72502725,59768414,48385600,38482970,38482971,48385602,48385610,48385609,59768422,59768423,66856145,66856144,66856143,54597593,54597594,49029870,39100826,30504659,30504658,39100824,49029867,43853404,43853403,49029893,49029875,39100828,39100827,49029872,43853407,34581917,34581918,43853399,34581908,26594746,26594747,34581910,39100846,30504674,30504675,39100833,30504667,23090272,16835992,11773405,7860320,7860321,11773407,13686825,19166845,18392829,18392828,24894433,32542736,41399775,49029899,39100853,39100852,30504678,23090277,16835995,16835996,23090279,30504682,39100855,49029900,60433649,65077806,78358319,78358323,73180550,73180549,77400438,270353938,53093189,53093190,65077811,60433641,49029890,39100841,39100840,49029887,60433634,60433642,60433623,49029881,39100837,39100836,33102230,25367715,25367716,33102231,42051094,52395035,44369257,34990888,26909837,20026031,20026030,26909836,34990885,44369251,255809668,24540863,18106999,18106998,24540861,32118531,40892624,51030558,51030553,51030554,62657167,62657171,62657173,61434559,49956888,39940096,39940095,31533595,31533368,24031219,17680564,17680565,24031221,256536561,50239289,40219236,31533378,24031226 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162670, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8222533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8230733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7901037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8362246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9162816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7933542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13304005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13304005, s2 = 14801443, int(edited[s2]) = 0 s1 = 13304005, s2 = 14801443, d1 = 152, d2 = 108 Dl.O(d1) = 55661173,68058153,55661167,55661166,57621607,57621608,49981155,39964635,39964636,49981157,61459244,61459245,268384334,49981131,49981130,58381205,47010135,47010136,257446731,60757926,71097714,61459248,49981164 Dl.O(d2) = 274777625,235990788,235990789,266680443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13304005, s2 = 14801443, dlinesl.size( ) = 62 s1 = 2268860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2268860, s2 = 1614333, int(edited[s2]) = 0 s1 = 2268860, s2 = 1614333, d1 = 2, d2 = 8 Dl.O(d1) = 60763506 Dl.O(d2) = 46385102,36525331,28059678,28059679,21274356,17311156,12186885,12186884,17311154,23627065,31113650,256991765,35061659,26978496,20090078,20090079,26978497,35061662,29083214,29083213,37633287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2268860, s2 = 1614333, dlinesl.size( ) = 8 s1 = 1487912, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13275295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9414025, s2 = 8369992, int(edited[s2]) = 0 s1 = 9414025, s2 = 8369992, d1 = 33, d2 = 39 Dl.O(d1) = 4996367,4994699,3017683,3017684,4994702,254249032,7869670,4995684,4995683,7869471,7869472,7861478,254249366,4996115,4996113,4997057,4997058,4996077,3018643,254102140,998126,562222,562221,998122,1754152,3018467,1754208,998156,562235,562236,998162,1754090,1754091,1754095,3018379,4995696,7869684,11786056,254556996,16849232,16849132,11783189,7867402,4993937,4993936,4993928,4993930,7867391,10728963,10425503,255013755,15114344,15114345,21042253,21042310,16792410,11741244,7839009,4976027,3005780,1745997,1745998,3005784,4976041,7839027,11741271,16792454,23036845,27960745,27960744,20798951,14905673,14905674,20798560,14905371,10248476,6733645,4218782,2522315,2522316,4218784,4218834,6733747,10248677,14905678,18054738,12799616,8702411,8702412,12799619,18054742,24476106,32040220,40799399,256956142,36418747,27960750,256267191,20798550,255781005,27960749,36418746,269759759,36418251,256804193,39453469,49381485,60782456,60781639,49380458,258220169,257573476,39452213,39452214,30847908,30847896,268428366,267990930,3165822,3165824,254573771,12047106,17141601,17141600,23417466,17141525,255149480,4848033,2921882,2921884,4848944,5187753,4847516,2920972,1694335,1057386,594570,594569,1057381,1057193,1057194,963508,542969,304273,168440,168439,304266,542953,963479,1694429,1057302,594520,594521,1057282,1057535,594728,331557,182577,182576,331553,594548,331455,182515,182514,331446,594537,1057339,1852691,3164917,5187653,5188609,3165570,1853105,1853104,2921355,4848046,7662491 Dl.O(d2) = 255620162,104324044,118507030,128143973,257139786,97714161,257725794,81157657,81157658,70330520,70330522,83855548,97714249,111635310,125438098,114259090,100226600,86260802,261203171,269938298,118507028,104324022,90172740,255224346,254628870,254289624,18379389,18379390,24877244,32520286,41368753,51592884,63315509,255620158,104324028,118507030,128143973,114258500,101876770,87902413,87902412,256561624,52142321,52142320,269978993,87902784,85149582,71580420,58855072,58855075,256704344,72658599,258476478,114258027,117967281,103820029,260206643,270335438,101876736,101876735,101877716,87903542,87903543,97714246,97714233,83855531,83855532,97714237,90967521,90967519,90967947,90967945,256561624,52142321,41825075,32900992,32900993,255600314,63965282,77082054,74299680,61521769,50042207,50042206,61521767,74299676,87903543,97714246,97714233,83855535,74299205,74299206,87903028,257725760,129824524,258304106,74299692,87903567,74299693,256054214,40022228,31342478,31342331,255600778,50041864,61521213,50041792,269398813,61521765,61521767,74299676,87903543,97714259,97714258,257139824,74299691,255224348,254892678,51592887,51592886,46296119,46296120,57640357,70330494,83855499,87902429,74298576,61520815,60052618,60052614,72791210,77081760,77081758,72659615,59919590,48526066,38610482,38610485,48526073,48526748,48526047,38610471,38610469,48526041,59918976,59918974,61521150,50041749,50041748,40022015,31342343,23849179,17506853,12344561,8339915,8339916,12344548,17506823,23849119,31342217,40021854,49186849,60586942,59920767,48526942,38611070,38611065,48526924,59920729,72660932,70330524,57640375,57640372,70330514,74299205,74299206,87903028,257725760,129824524,259551496,100226283,100226284,260025618,259408336,128144255,114259628,114259629,128144142,114259530,100227315,100227313,258303278,74299693,63965281,52142321,41825075,255600312,63965279,256054218,74299631,257694664,258783314,85826030,72233439,59497929,48109896,48109897,59497930,59498171,72233644,258120282,72661538,72661537,60491446,60491445,73238268,259181386,92423368,257931854,72234138,59498646,59498647,58641618,58641619,48109801,48109802,59497846,72233382,59498660,59498662,59497660,48109622,48109620,48110409,38199197,38199198,48109822,38198761,38198762,48109827,59497873,59497644,48109607,38198603,29632084,22280210,16136773,16136772,16136803,11209645,7437749,7437750,255084103,22280307,28049246,28049247,36513478,40234917,31548965,24045393,17692963,17692964,24045396,31548970,36610020,36610021,29049033,29049034,37596822,40234619,40234620,50254011,269878585,41666592,41666594,51974428,49029704,39100694,39100695,31548946,24045383,24045382,31548944,40234898,31558321,31558320,40244457,50263917,50254325,40234918,31548967,256032601,17700098,12519570,12519569,12519580,17700112,24053915,31558040,40244153,50263653,254624264,25062665,25062666,32755130,41666597,40234896,31548943,31548942,40234891,50254307,61732700,71600620,60340463,60340464,70417559,74514336,61742273,50263919,50263918,61742272,74524080,88136010,102123458,112569840,258188742,86843095,73229886,60482857,60431826,49028233,39099416,30503521,30503522,39099418,49028236,60431812,54598460,54598461,48260421,48006482,38094961,38094962,48006488,54672742,61917830,50427770,40394301,40394302,50427775,61917836,66929349,54672766,43930493,34657470,34657463,26665719,19850344,19850343,26665714,268377154,29491728,38055730,47968928,43930467,268419632,49941911,39924186,39924187,49941912,61419957,61419958,61742316,50263958,50263959,61742317,72644942,71547283,58818927,50263811,48510456,38595576,30022796,22649810,16458502,254371344,38595578,48510463,58819070,59904045,59904043,59904042,58818893,47432362,37524810,28981031,28981033,30022808,30022807,38595587,37524885,37524884,47432439,58818951,50265038,256538803,24054550,24054549,19070136,13614419,13614418,268302137,268620417,21698927,21698928,268620419,47432475,256337336,28018083,20851848,14951379,14951380,15659117,10840196,7166292,4513588,4513587,7166288,10840188,15659105,12519874,12519875,17700549,24054496,24053934,17700132,12519599,12519600,17700135,17700197,24054006,28981195,255656624,10840252,7166333,7166334,10840254,15659200,21698998,28295858,21088523,255807671,36792757,30762098,23339207,23339206,20851860,14951390,14951389,20851871,21698882,17283677,17283676,15090096,12519903,8482037,5482883,3373943,3373940,5482869,8481985,12519819,17700468,24054403,31558989,40245224,33122751,25386645,18800881,13393100,254648305,3747017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9414025, s2 = 8369992, dlinesl.size( ) = 24 s1 = 6607709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6836840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7901945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6820085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6820085, s2 = 14291656, int(edited[s2]) = 0 s1 = 6820085, s2 = 14291656, d1 = 1, d2 = 1 Dl.O(d1) = 258844672,49401117,49401116,47055531,41038569,41038570,49992124,49376456,39448110,30843762,255194248,256486243,257612335,73526063 Dl.O(d2) = 258844672,49401117,49401116,47055531,41038569,41038570,49992124,49376456,39448110,30843762,255194248,256486243,257612335,73526063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6820085, s2 = 14291656, dlinesl.size( ) = 2 s1 = 6820085, s2 = 14291656, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6820085, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3730282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3730282, s2 = 9181700, int(edited[s2]) = 0 s1 = 3730282, s2 = 9181700, d1 = 7, d2 = 4 Dl.O(d1) = 129176673,270340188,49405477,39476600,39476601,49405479,258845147,101168847,115246070,260273404,73552900,87171096,101168843,115246068,105446937,91224469,91224470,260855877,261424193,126896574,126896573,260550187,259331021,85131512,85131498,71561088,58833761,49173060,257597033,73314868,257104822,66941773,60571952,49173032,49173031,60571948,60571947,258827635,100904837,114957271,128857679,126896481,113043780,99055951,258704967,58833716,47447635,47447636,58833718,71561031,259331015,113043785,126896485,113043802,113043801,126896505,136227650,122258675,107849660,107849661,260953947,122258631,122258655,136227633,137318484,261434907,133725197,140243807,136227644,122258670,122258660,107849647,93425636,259739609,107849653,93425644,79297850,65935190,53868408,43343920,34244350,34244351,43343921,53868410,65935196,270597607,95140950 Dl.O(d2) = 161787746,149486280,272059011,107849637,115317567,270882917,87238868,101239210,107849636,260953949,260871272,86315884,258404644,48589642,48589643,59981454,259412335,101892408,87918271,74314856,258246076,31029385,31029383,31029384,31816331,27187898,20264071,14538962,14538964,16346174,16346173,22519580,29876517,37374289,29126250,21819358,18174984,18174983,24628267,27287169,20352019,20352018,27287165,23790546,17459085,254847257,5364174,8313339,12308106,17459105,23790579,29034789,28352856,28352855,23790603,17459117,17459116,21138754,28352755,21138778,15188027,15188025,21138771,28352775,31258690,31258691,33809895,25993668,19322468,19322469,25993670,29569473,29569474,25993614,19322423,13816864,13816863,19322421,25993611,29473441,25469163,18868916,13445278,9194015,6019030,6019031,9194017,13445283,13445322,13445321,18868980,25469223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3730282, s2 = 9181700, dlinesl.size( ) = 2 s1 = 3730282, s2 = 9181700, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3730282, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 924069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1917992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1917992, s2 = 9581795, int(edited[s2]) = 0 s1 = 1917992, s2 = 9581795, d1 = 0, d2 = 25 Dl.O(d1) = 49442872 Dl.O(d2) = 207653004,212468728,216405777,219670155,222427003,265345216,216553644,216553643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1917992, s2 = 9581795, dlinesl.size( ) = 10 s1 = 2274587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9040358, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1919905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6608521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608521, s2 = 223947, int(edited[s2]) = 0 s1 = 6608521, s2 = 223947, d1 = 102, d2 = 82 Dl.O(d1) = 256496551,258234559,61195256 Dl.O(d2) = 8437523,5448061,3349188,1969142,1124464,630672,630671,1124461,1969138,3349178,5448047,5454984,3353605,3353606,5447984,3349146,1969433,1969434,3349749,5448971,8439035,12469798,17632760,12469384,8438636,5452845,3352152,1970690,254273025,5452837,8443899,8446461,8446100,5454801,3353484,3353482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6608521, s2 = 223947, dlinesl.size( ) = 2 s1 = 6608521, s2 = 223947, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6608521, Dl.E( ) = 104, 3.39e-05 seconds used appending s1 = 8254048, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2275299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2275299, s2 = 14091073, int(edited[s2]) = 0 s1 = 2275299, s2 = 14091073, d1 = 2, d2 = 8 Dl.O(d1) = 86782724,100763440,87583302,73982717,61203251,49724342,39705648,255111618,268092726,39705645,49724340,61203247,49724338,49724337,61203245,73982713,87583297,101545658,115581711,129466808,142788226,258821676,258821674,130236390,258198474,88312908,74685202,61891572,50401054,40365792,40365791,33603010,25805596 Dl.O(d2) = 51665279,63408720,59604446,59604445,63408735,63408734,70965848,70965850,71907209,59169129,51664905,41422890,32563053,32563052,41422858,51664843,42209669,42209670,41422996,41422995,50400975,50400972,61891520,59169237,47770406,47770409,59169247,59169059,59169057,59169050,47770281,47770280,59169044,71907127,72833941,60357185,60357188,73095612,73095613,85816878,256937700,59488376,72224280,71907255,59169165,59169164,71907254,71907438,71907439,71907284,59169197,47770384,47770383,59169193,71907019,71907018,61636999,50154197,40132409,40132410,50154202,60356173,62470501,73095073,75386314,75386315,87763031,87763030,99893043,85937872,72344010,72344011,85937875,72833964,60097201,48701341,48701340,59487320,48098807,38187350,38187351,48098809,268945531,38312928,47770235,59168986,64151844,72834062,60097367,60097366,72834059,60356202,59169206,47770388,47770389,48701307,38778940,30194711,22804009,16586603,11566579,7698637,7698636,11566571,16586584,22803981,30194664,38779067,38779108,37122253,37122255,47008985,47009263,47009264,43969367,43969369,47009016,37122269,37122267,47009010,37847548,29279969,29279970,37847555,38779017,38779016,48701401,51028233,51028232,47009193,37122375,28611672,21376283,15394797,15394798,21376290,21376314,28611719,37122432,28611729,28611731,33015744,25290432,18717283,13324021,13324022,18717263,18717265,22803941,16586569,16586568,22803937,25290217,25290219,33015453,41957928,51435963,48099945,48099946,52671938,42285805,42285806,52671941,64151517,58766407,47379116,37471988,28930581,21653253,15618721,10806442,255046785,21653250,28930571,37471977,47379102,58766391,58380285,58380286,52299338,257517872,48962054,258075811,60097434,72834099,258127356,74105931,73237644,60490850,258127332,72224405,59488579,59488580,64151209,64151208,77300252,258127358,58766416,47379120,47379123,39158077,30560814,30560811,39158068,40191303,40191304,50213407,51028238,47009101,37122314,37122313,47009095,58380105,71033775,58318130,49929339,49929338,60357450,48962059,39040627,39040626,42452083,48701287,48701289,60097144,60475795,72339591,75448607,62526414,62526415,52299317,52299316,58380067,51206992,41050212,32256354,32256353,41050205,48218195,48218197,59604997,49072531,39142364,30543693,30543694,39142367,46951206,58318145,61960343,61960345,59927822,48534261,48534260,48218485,46951200,46951198,58318139,258244851,72339213,59604529,48217632,38307884,29739781,29739782,38307886,48217636,59604533,58318193,49285308,39358379,30757641,23335036,23335038,30757646,39358333,49285260,60686357,256457124,48218452,38308687,29740363,29740364,38308694,48218457,59604613,59604136,48218135,48218134,49097626,46586379,36699666,36699665,46586375,48217145,38307463,29739472,29739471,38307461,48217141,38307830,29739725,29739724,38307184,38307185,29739786,29739787,38307896,48216890,38307187,38307188,46359300,40803747,32043901,24479048,24479049,30757611,23335019,23335020,29740101,22381633,22381634,29740105,38308305,38307941,38307942,38308317,48218027,48217171,48217173,48217709,38307938,38307937,48217704,48218497,46586396,36699680,28208737,21015776,21015775,28208734,36699673,46586388,48217951,38308233,38308231,48217945,48217594,48217595,47993377,38080789,38080788,46612221,38307882,38307411,30757666,23335045,17068805,11979470,8027404,5116489,3107728,3107727,267902111,11979463,10299889,10299890,14967735,16224323,16224322,16224408,22381592,29739498,22381252,16224224,11278515,7486804,7486802,11278508,7486864,7486865,11278659,16224340,22381460,25290278,25290276,33015522,41958017,50090396,48217025,38307319,29739370,22381179,16224190,11278496,7486798,7486794,11278487,16224167,22381133,22314928,22314926,22314940,22314939,29666717,22807076,19071054,13615008,12925854,8793158,8793159,12594841,17793905,17793911,254558728,31671093,36536306,28069411,20898134,14993914,10324779,6793763,255002885,12659932,17876518,23004103,23004104,22806770,22806769,30195422,22804576,22804577,16587062,11567856,11567857,16587960,22805385,30196170,26941448,20055489,20055490,15050681,10376949,268199269,255008683,267958577,4290227,254487269,254714037,255008683,267958577,6837629,6837631,4290228,2565018,1477054,1477055,2565019,4290230,6837632,10376950,15050682,20959948,28137984,36433593,27974738,20811169,14915301,10255797,6739027,6739028,254996051,20120457,20120456,20930909,15022947,15022945,16298535,16298534,15054651,10783557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2275299, s2 = 14091073, dlinesl.size( ) = 2 s1 = 2275299, s2 = 14091073, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2275299, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 8235193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13369397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1921691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6767878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6562136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6562136, s2 = 7443387, int(edited[s2]) = 0 s1 = 6562136, s2 = 7443387, d1 = 48, d2 = 93 Dl.O(d1) = 255990420 Dl.O(d2) = 239800950,240333351,240828015,241286879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6562136, s2 = 7443387, dlinesl.size( ) = 2 s1 = 6562136, s2 = 7443387, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6562136, Dl.E( ) = 96, 3.1e-05 seconds used appending s1 = 2295755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662045, s2 = 14163811, int(edited[s2]) = 0 s1 = 9662045, s2 = 14163811, d1 = 1, d2 = 1 Dl.O(d1) = 127479458,113605179,99589871,85639788,72052362,72052363,85639789,99589873,99589884,85639806,85639802,72052374,59317641,47924638,38009774,38009773,47924623,38009765,38009766,29447529,29447528,38009768,47924627,59317626,52546081,42187369,42187368,52546078,64420131,59317637,55670456,44760288,35332559,27207291,255758468,44760287,55670453,255758470,59456956,257329482,99742468,113756793,127534489,113662887,258360018,97897604,84028225,84028221,70493742,70493741,77304958,64156630,52305125,41964669,33021911,25295696,18721363,13326985,13326986,18721365,25295698,33021914,33021907,25295704,256115341,41964677,52305134,64156636,77304965,77304959,64156631,258388861,52305129,52305130,64156635,77304963,87656227,87656230,87656229,74052917,61273046,49793972,49793973,61273042,49793966,39774086,31095662,31095663,39774089,49793971,59463804,268644766,39774079,31095658,31095657,36573086,255792921,20925811,28101681,36573089,39774069,39774068,49793946,39975760,39975759,49991913,61469331,74247740,87852431,101826983,100055541,100055540,114081824,114081822,114081821,127961989,127961985,127961984,141321564,153991987,261055792,165066876,153249608,140568261,140568260,153249606,140568262,260564382,259964136,71832867,59092956,257486076,30424823,30424822,257000037,30424818,23019957,23019958,30424820,39013635,257580411,60334580,60334581,258811543,100652332,100652330,100652331,114697692,271416188,258904416,74607229,88237493,88237491,74607228,65121372,53136228,53136229,257597070,48874647,38955007,38955006,48874644,41298511,41298513,39849989,39849990,49872244,60267045,62065142,60267180,48874875,48874706,48874707,48362624,48362623,48874768,38955167,38955168,48874769,60267130,59766947,59766946,48874825,48874826,42611863,33587915,25792254,19147168,13671827,13671825,19147160,25792240,33587896,38461212,38461214,30369044,22967541,16731705,16731707,22967548,30369054,38461215,48362896,59746119,72480879,86078526,86078527,100041316,114067808,127947725,127947726,262252393,153978178,165751078,176413247,185850335,273327601,164256714,152384498,139663485,126292457,112428891,98440111,84518444,70954881,58237803,46870126,269309119,36991414,28494052,28494051,256850555,46870125,58237801,66003231,66003230,79371238,66003233,53932849,43405975,34304672,255720111,9712536,9712537,14117205,255720113,26427032,34304675,43405976,257865715 Dl.O(d2) = 127479458,113605179,99589871,85639788,72052362,72052363,85639789,99589873,99589884,85639806,85639802,72052374,59317641,47924638,38009774,38009773,47924623,38009765,38009766,29447529,29447528,38009768,47924627,59317626,52546081,42187369,42187368,52546078,64420131,59317637,55670456,44760288,35332559,27207291,255758468,44760287,55670453,255758470,59456956,257329482,99742468,113756793,127534489,113662887,258360018,97897604,84028225,84028221,70493742,70493741,77304958,64156630,52305125,41964669,33021911,25295696,18721363,13326985,13326986,18721365,25295698,33021914,33021907,25295704,256115341,41964677,52305134,64156636,77304965,77304959,64156631,258388861,52305129,52305130,64156635,77304963,87656227,87656230,87656229,74052917,61273046,49793972,49793973,61273042,49793966,39774086,31095662,31095663,39774089,49793971,59463804,268644766,39774079,31095658,31095657,36573086,255792921,20925811,28101681,36573089,39774069,39774068,49793946,39975760,39975759,49991913,61469331,74247740,87852431,101826983,100055541,100055540,114081824,114081822,114081821,127961989,127961985,127961984,141321564,153991987,261055792,165066876,153249608,140568261,140568260,153249606,140568262,260564382,259964136,71832867,59092956,257486076,30424823,30424822,257000037,30424818,23019957,23019958,30424820,39013635,257580411,60334580,60334581,258811543,100652332,100652330,100652331,114697692,271416188,258904416,74607229,88237493,88237491,74607228,65121372,53136228,53136229,257597070,48874647,38955007,38955006,48874644,41298511,41298513,39849989,39849990,49872244,60267045,62065142,60267180,48874875,48874706,48874707,48362624,48362623,48874768,38955167,38955168,48874769,60267130,59766947,59766946,48874825,48874826,42611863,33587915,25792254,19147168,13671827,13671825,19147160,25792240,33587896,38461212,38461214,30369044,22967541,16731705,16731707,22967548,30369054,38461215,48362896,59746119,72480879,86078526,86078527,100041316,114067808,127947725,127947726,262252393,153978178,165751078,176413247,185850335,273327601,164256714,152384498,139663485,126292457,112428891,98440111,84518444,70954881,58237803,46870126,269309119,36991414,28494052,28494051,256850555,46870125,58237801,66003231,66003230,79371238,66003233,53932849,43405975,34304672,255720111,9712536,9712537,14117205,255720113,26427032,34304675,43405976,257865715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9662045, s2 = 14163811, dlinesl.size( ) = 2 s1 = 9662045, s2 = 14163811, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9662045, Dl.E( ) = 2, 1.31e-05 seconds used appending s1 = 2278994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13535895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13225457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14295853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6966111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6966111, s2 = 7863616, int(edited[s2]) = 0 s1 = 6966111, s2 = 7863616, d1 = 7, d2 = 7 Dl.O(d1) = 260703704,71406591,257052424,258244410,256505338,47281190,254840058,10747770,7100830,7100831,10747772,15540483,15545736,15545734,254183456,20127135,254265708,16307517,16307518,22478246,22020457,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589701,10026550,14570842,20303661,22490597,22490596,23570624,20303731,14570889,10026577,6589714,4128442,4128443,6589719,10026589,14570910,20303759,22023329,29354337,28315323,21105236,21105235,28315320,29356202,22025693,22025692,29356198,22524188,21923747,15838074,10975305,10975306,15838080,21923749,29243136,23371856,23371857,254520328,15152578,21095120,28226415,255045746,28315818,21105660,21105659,28315815,36811959 Dl.O(d2) = 260703704,71406591,257052424,258244410,256505338,47281190,254840058,10747770,7100830,7100831,10747772,15540483,15545736,15545734,254183456,20127135,254265708,16307517,16307518,22478246,22020457,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589701,10026550,14570842,20303661,22490597,22490596,23570624,20303731,14570889,10026577,6589714,4128442,4128443,6589719,10026589,14570910,20303759,22023329,29354337,28315323,21105236,21105235,28315320,29356202,22025693,22025692,29356198,22524188,21923747,15838074,10975305,10975306,15838080,21923749,29243136,23371856,23371857,254520328,15152578,21095120,28226415,255045746,28315818,21105660,21105659,28315815,36811959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6966111, s2 = 7863616, dlinesl.size( ) = 2 s1 = 6966111, s2 = 7863616, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6966111, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7863617, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8028489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6639112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9486214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1927604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1927604, s2 = 1728153, int(edited[s2]) = 0 s1 = 1927604, s2 = 1728153, d1 = 45, d2 = 5 Dl.O(d1) = 49872690,61354343,74135860,87741491,101715759,115761864,129659637,142988014,155537657,167170426 Dl.O(d2) = 44496398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1927604, s2 = 1728153, dlinesl.size( ) = 2 s1 = 1927604, s2 = 1728153, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1927604, Dl.E( ) = 54, 1.41e-05 seconds used appending s1 = 9694806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6609668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9403019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9403019, s2 = 1593006, int(edited[s2]) = 0 s1 = 9403019, s2 = 1593006, d1 = 3, d2 = 9 Dl.O(d1) = 66965295,54706248,43962499,34687266,26692820,19872976,15058425,10817363,10817366,15593207,15024409,15024407,18853254,13432576,9183882,9183880,13432567,14393792,9900049,9900046,14393785,19465288,25826151,19174599,19174598,25325968,24904066,20826389,20049326,14363503,14363502,20049321,22635685,19899125,14254906,14254903,19899117,20351764,14608241,10051900,10051899,14608238,20351759,27275278,26296679,19574239,14256069,14256068,14599507,14599503,14256142,10419704,10419708,7840222,7840219,254260552,23039440,17756438,15594973,14484240,14484241,268063740,254996988,10263763,6744379,6117167,3827340,3827339,6117165,9338978,13638113,19101906,25734635,33513903,42513410,52923154,64848046,78044931,91971750,106170097,91971734,91971733,257886660,73313668,258176336,16956337,12693899,12693898,17916738,24299676,24178307,17810002,17810003,23151558,17343127,12216602,8246737,5318382,5318383,8246740,12216607,254795665,7697678,255327185,14392307,14393210,11841625,11841626,16920065,23186015,255427185,10894354,10894353,15730990,17821246,16215272,11272061,11272062,16215275,21540610,28807837,257456911,37955078,37955077,34098226,26235370,19518704,19518705,256698405,53694708,60625289,49224035,39296942,39296943,49224037,49224032,39296941,257020519,60625287,73370987,259455905,115025447,128928455,140154775,258293744,98961505,85036614,85036613,88418951,85036617,71464724,58735092,47347316,47347315,58735090,71464721,67562807,67562809,259780437,101728303,87755802,74151655,271373338,257055797,269868937,258247449 Dl.O(d2) = 24022503,29616229,22265099,16124126,16124125,22265093,29616218,38183393,38183840,38183839,38183902,38183901,38183894,29616659,22265411,22265410,29616610,29616611,38183848,48095466,38183879,38183880,48095128,38183775,256268312,29616266,29616267,38183445,42184923,33224813,25476669,25476670,33224815,38183566,38183565,38183564,38183563,48095222,50231219,40210263,31524333,24022526,24022527,31524337,38183365,29616200,22265274,22265275,29616461,29616470,31524344,31524343,38183716,38183717,48095370,52543745,52543743,59484362,72221085,72221295,59484616,48095519,48095518,59484437,60145228,48750858,48750859,60145230,59484500,59484499,72221137,59484371,59484372,50231203,42184932,33224819,25476672,18875131,13450436,13450435,18875129,25476665,33224809,42184914,52543739,269403229,40210254,50231207,50231224,40210274,31524341,24022535,17672790,12497219,12497220,17672792,24022537,31524348,255781946,61711372,255781940,102091869,88105310,74493442,269403227,40210252,31524326,268259467,12497218,17672786,24022524,31524324,40210251,256805430,72221200,257653395,50067031,258262293,87924339,101898270,115944443,101898271,87924341,74321335,61545087,50067035,40047752,31367392,23872683,17528316,17528315,23872680,31367390,40047748,257383618,257383620,74321333,74321331,87924337,83842329,70317716,61709081,50228334,269877809,87924340,86477204,72881765,61709115,50228378,50228376,61709109,50228360,40207021,31521239,31521238,31367377,31367378,40047733,31522027,24020535,24020534,31522024,40047720,50067011,61545077,61711376,72881762,61709077,50228325,40206983,31521204,24019847,17670836,12495942,12495943,17670841,24019856,31521215,24019876,17670861,17670862,24019880,24603318,32191068,40970592,50230196,40209289,31523587,24022015,24022016,31523591,40209296,40206059,31519887,24018310,24018309,31519881,31521176,31521175,40206948,50228297,40207825,256029901,17671352,12496304,12496305,12496316,12496315,17671368,24020543,31522042,40207858,50229104,40209653,40209652,50230574,255490786,40206060,31519890,24018311,24018312,31519891,24022111,256030003,24019830,256029851,31523739,31523740,39868932,49891059,61371577,74151814,87755996,101728501,115773652,129670387,142998154,141588860,128238569,114361585,100337086,86379977,86379976,100337084,114361582,128238565,141588852,154245428,141588846,141588843,141588842,154245423,154245421,141644341,141644340,154298223,141644336,141644335,141644331,128294625,128294626,141644327,154298218,166049114,176687821,176687826,184689919,263491079,200240057,193058418,262276798,165292165,153496135,140814939,127454408,113577970,113577969,113577968,113363903,113363902,112466395,259424282,70991478,70991477,59092355,47693867,47693868,59092357,71832314,67753011,55412510,46911880,46911881,37034715,28536586,21313666,21313665,28536585,37034712,257303615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9403019, s2 = 1593006, dlinesl.size( ) = 14 s1 = 9136014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2235756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2284442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657996, s2 = 6769064, int(edited[s2]) = 0 s1 = 11657996, s2 = 6769064, d1 = 0, d2 = 0 Dl.O(d1) = 18334080,24826718,32465739,41310895,51531424,51059217,268970380,32141403,32141404,24559378,18120944,12849072,8737563,5688269,3538528,2106334,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066209,13282223,18119778,12848361,9132374,5976308,5976305,9132365,13362722,18415541,23826437,18415392,18415390,18119001,12847889,8736866,8736863,12847880,18118979,23363121,17488732,12330919,8329988,5376214,5376215,8329999,8737311,8737332,8737331,9066797,9066796,13283110,18675674,24924548,24924546,32581328,41447465,38013320,38013321,40918122,32966367,32966366,41905724,48878782,48564338,40914048,40914049,51055902,60346888,49319098,49319097,46821140,36943207,28443635,28443636,36943209,40917779,35148110,35148109,32139492,32139491,32140868,24558912,18120591,12848861,12848860,18120588,24558509,24558512,32140413,39361258,30760348,30760347,39361254,32962870,25241374,25241375,32962878,40917518,42760579,33730673,33730672,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074672,17173044,17173056,17173054,23449172,28880340,21604619,21604616,28880336,31510718,24010667,24010668,31510720,40196671,40074235,31392708,23898446,23898447,31392710,255672380,23905941,18964107,18964108,20288202,255027304,8378956,5407316,3324212,3324213,5407318,3324820,3324823,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983228,13535838,9265533,6068852,3797110,2274351,2274350,3797109,6068849,9265527,12399444,17163834,23158773,16897427,16897428,17582142,23899095,23738043,17413226,12271977,12271975,9267360,9267359,13537926,17579157,17553159,17383786,17383788,12404025,12404024,17575863,14557595,10017288,10017290,12258860,10711002,10711001,15489128,17378958,12246653,12246654,8277282,5340668,5340667,8277294,10982617,7269611,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747255,11747252,12389004,17559789,12436118,8404971,5423576,5423575,8404968,12436113,17618096,17572609,17572610,17405308,12266109,255167543,256006263,39891083,49911164,258249317,53880282,43355664,34255716,26378299,26378298,34255713,43355662 Dl.O(d2) = 18334080,24826718,32465739,41310895,51531424,51059217,268970380,32141403,32141404,24559378,18120944,12849072,8737563,5688269,3538528,2106334,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066209,13282223,18119778,12848361,9132374,5976308,5976305,9132365,13362722,18415541,23826437,18415392,18415390,18119001,12847889,8736866,8736863,12847880,18118979,23363121,17488732,12330919,8329988,5376214,5376215,8329999,8737311,8737332,8737331,9066797,9066796,13283110,18675674,24924548,24924546,32581328,41447465,38013320,38013321,40918122,32966367,32966366,41905724,48878782,48564338,40914048,40914049,51055902,60346888,49319098,49319097,46821140,36943207,28443635,28443636,36943209,40917779,35148110,35148109,32139492,32139491,32140868,24558912,18120591,12848861,12848860,18120588,24558509,24558512,32140413,39361258,30760348,30760347,39361254,32962870,25241374,25241375,32962878,40917518,42760579,33730673,33730672,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074672,17173044,17173056,17173054,23449172,28880340,21604619,21604616,28880336,31510718,24010667,24010668,31510720,40196671,40074235,31392708,23898446,23898447,31392710,255672380,23905941,18964107,18964108,20288202,255027304,8378956,5407316,3324212,3324213,5407318,3324820,3324823,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983228,13535838,9265533,6068852,3797110,2274351,2274350,3797109,6068849,9265527,12399444,17163834,23158773,16897427,16897428,17582142,23899095,23738043,17413226,12271977,12271975,9267360,9267359,13537926,17579157,17553159,17383786,17383788,12404025,12404024,17575863,14557595,10017288,10017290,12258860,10711002,10711001,15489128,17378958,12246653,12246654,8277282,5340668,5340667,8277294,10982617,7269611,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747255,11747252,12389004,17559789,12436118,8404971,5423576,5423575,8404968,12436113,17618096,17572609,17572610,17405308,12266109,255167543,256006263,39891083,49911164,258249317,53880282,43355664,34255716,26378299,26378298,34255713,43355662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657996, s2 = 6769064, dlinesl.size( ) = 2 s1 = 11657996, s2 = 6769064, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657996, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10204831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13203307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1930727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1930838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2285854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8035935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9699822, s2 = 14036853, int(edited[s2]) = 0 s1 = 9699822, s2 = 14036853, d1 = 7, d2 = 10 Dl.O(d1) = 17435162,17435163,17435164,17357450,17357449,12289301,8299596,5354243,3290746,3290745,5354242,8299594,8299589,5354238,5354237,8299587,268623622,267830207,2840457,4715043,7461554 Dl.O(d2) = 16174131,22319108,29670274,29670277,22319111,22319109,22319110,29670275,256941685,59533019,48541157,48541156,59933832,257082196,100238120,258896906,88094644,102081517,116139377,123572905,109381437,95127206,81069060,259415522,55259190,44411607,35037038,35037037,35037034,26957029,20073092,20073093,26957033,35037039,37625533,37625532,47532096,58913319,71633906,85198657,99121192,87799892,74196642,61418231,49940331,39922609,39922610,39922613,31247035,31247034,256851368,22974620,22315213,16170239,11238091,11238090,11234636,7455779,4710960,2837995,1646351,1646352,2837998,4710964,7455788,11234650,16167182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699822, s2 = 14036853, dlinesl.size( ) = 2 s1 = 9699822, s2 = 14036853, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9699822, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8467521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1933778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656682, s2 = 4303386, int(edited[s2]) = 0 s1 = 11656682, s2 = 4303386, d1 = 8, d2 = 8 Dl.O(d1) = 71439061,85011868,256274246,57738163,46388261,36528354,28062419,20891965,14988273,10319701,10319702,14988275,20891970,20961189,20961187,20968445,25237473,32957324,41892740,52224151,64065469,60147878,256987570,30249839,22855218,16629681,16629682,22855220,17623705,12442973,12442976,17623714,23972198,24127327,31633972,38374735,29803564,23292165,17032382,11946807,7996733,5090607,5090609,7996737,6943605,4363695,2623364,1514083,858214,484440,272512,272508,484416,858119,1513895,254331837,5403087,3321947,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793632,6063306,4366738,4366740,6533211,9940095,13531679,13531678,15281160,10547134,255024909,14209024,268330247,15303498,10567653,10567654,13519499,9251455,267910571,3320483,3320482,5400469,4381520,4381521,6063020,3793436,3793434,6063017,6063065,6063067,9257455,12069057,8115774,8115776,12069064,8854935,8854934,9248749,6057224,6047990,6047991,5771264,3595092,3595090,5771257,8854830,13006186,18322659,18322805,255537464,10385736,6844521,6844519,9939172,6532626,6532625,9939168,12640853,9261966,9261967,13531885,15059981,15059980,11997747,11997749,17085243,23352775,22203122,16073581,11161647,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,3297667,3297660,3297651,3297652,267909565,12308192,17459257,13721668,13721669,19210458,25868179,33674129,39951562,31276657,31276658,256880526,49968394,49968395,61446247,257460722,47318883,47318884,58707751,71439177,85011987,98937520,112926905,126781441,140131892,152826273,164662835,175421256,184965709,185786161,176342214,165674858,153898925 Dl.O(d2) = 71439061,85011868,256274246,57738163,46388261,36528354,28062419,20891965,14988273,10319701,10319702,14988275,20891970,20961189,20961187,20968445,25237473,32957324,41892740,52224151,64065469,60147878,256987570,30249839,22855218,16629681,16629682,22855220,17623705,12442973,12442976,17623714,23972198,24127327,31633972,38374735,29803564,23292165,17032382,11946807,7996733,5090607,5090609,7996737,6943605,4363695,2623364,1514083,858214,484440,272512,272508,484416,858119,1513895,254331837,5403087,3321947,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793632,6063306,4366738,4366740,6533211,9940095,13531679,13531678,15281160,10547134,255024909,14209024,268330247,15303498,10567653,10567654,13519499,9251455,267910571,3320483,3320482,5400469,4381520,4381521,6063020,3793436,3793434,6063017,6063065,6063067,9257455,12069057,8115774,8115776,12069064,8854935,8854934,9248749,6057224,6047990,6047991,5771264,3595092,3595090,5771257,8854830,13006186,18322659,18322805,255537464,10385736,6844521,6844519,9939172,6532626,6532625,9939168,12640853,9261966,9261967,13531885,15059981,15059980,11997747,11997749,17085243,23352775,22203122,16073581,11161647,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,3297667,3297660,3297651,3297652,267909565,12308192,17459257,13721668,13721669,19210458,25868179,33674129,39951562,31276657,31276658,256880526,49968394,49968395,61446247,257460722,47318883,47318884,58707751,71439177,85011987,98937520,112926905,126781441,140131892,152826273,164662835,175421256,184965709,185786161,176342214,165674858,153898925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656682, s2 = 4303386, dlinesl.size( ) = 2 s1 = 11656682, s2 = 4303386, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656682, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 1934337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1934337, s2 = 8000594, int(edited[s2]) = 0 s1 = 1934337, s2 = 8000594, d1 = 48, d2 = 57 Dl.O(d1) = 49971226,49971227 Dl.O(d2) = 4005656,2400776,2325058,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2360648,2403467,2403463,2360568,2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771652,438370,438372,441982,779160,1368249,2188892,1270269,1270265,2188910,3658777,3990126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1934337, s2 = 8000594, dlinesl.size( ) = 18 s1 = 9414534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2629867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2629867, s2 = 11369444, int(edited[s2]) = 0 s1 = 2629867, s2 = 11369444, d1 = 60, d2 = 42 Dl.O(d1) = 74273213,61496322 Dl.O(d2) = 259683149,64841751,52917032,42507586,33508639,25730061,19098125,13635284,9336887,6115789,3826499,2292488,1330169,759543,431919,243886,134770,73265,39688,21844,21845,39721,73041,73514,39762,39760,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815465,3802366,2277524,2277023,2277026,3801468,2277028,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,3759541,4359104,6936957,10518914,254719460,28441615,36941072,46818906,58185264,70898374,84454704,98364030,84454708,70898377,70898378,84454710,70898379,70898380,84454711,98364032,84454706,70898375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2629867, s2 = 11369444, dlinesl.size( ) = 8 s1 = 11656026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656026, s2 = 14162235, int(edited[s2]) = 0 s1 = 11656026, s2 = 14162235, d1 = 1, d2 = 4 Dl.O(d1) = 1507663 Dl.O(d2) = 61498783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656026, s2 = 14162235, dlinesl.size( ) = 2 s1 = 11656026, s2 = 14162235, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656026, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 7599305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7599305, s2 = 8672417, int(edited[s2]) = 0 s1 = 7599305, s2 = 8672417, d1 = 26, d2 = 25 Dl.O(d1) = 268937678,39463074,30858334,30858333,23427014,23427013,23839894,31331580,40009778,50028386,61506512,74283083,87885279 Dl.O(d2) = 193242214,184901739,175350681,164588620,261666519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7599305, s2 = 8672417, dlinesl.size( ) = 2 s1 = 7599305, s2 = 8672417, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7599305, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 2945997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2291894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8260252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7949282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192432, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9671518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7982332, s2 = 4792105, int(edited[s2]) = 0 s1 = 7982332, s2 = 4792105, d1 = 48, d2 = 72 Dl.O(d1) = 86571871,72974067,72974068,86571873,86571863,72974059,60237270,60237271,48843053,38922598,30336421,30336420,38922596,48843049,60237266,72974053,86571857,76897858,63788257,51973037,41665107,32753802,25061629,25061628,32753800,40197617,31511765,24011514,18522867,13161009,255640811,13787306,9453165,6197610,6197609,9453163,12337634,8334781,5379349,5379348,8334780,10270897,6749519,4229236,2528696,2528695,2529367,1479606,1479605,1472546,1472545,832943,469659,264047,146188,146187,146244,80378,80379,146247,264173,469921,833481,1473801,2558815,4279766,6819293,4852281,4852280,6747262,6747258,6777804,4248421,4248419,6760314,10284911,10267099,10267100,6758746,4235307,4235306,6758741,4929040,4929041,7777411,5924537,3704617,3704616,5924535,5209690,3178426,3178425,3466122,2540045,2540044,1599521,1599520,2759207,3465863,3465862,3179300,3179299,5211125,8133673,12094558,255541813,16856347,11789267,7872290,7872295,11789277,15936425,22038725,26226424,19511452,13966241,13966240,19511451,22271414,16129755,13491029,13491028,18924079,25535536,29304962,29304961,37874060,47798144,256542928 Dl.O(d2) = 130189304,116350557,259530597,74627294,61835102,50350994,50350991,50350992,269882501,40324260,31635080,255584937,17765125,24128199,30847562,23417272,17141387,17141368,12046880,8099111,6887121,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,2012748,3410888,5524350,8525658,255584939,31635081,40324262,50350998,61835106,61835104,50350996,50350995,258283631,270914565,260742479,143519062,156055593,167661406,178120914,187353706,195390312,202261802,208039486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7982332, s2 = 4792105, dlinesl.size( ) = 48 s1 = 8090311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8208212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9689602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13399873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1941509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1941509, s2 = 7977143, int(edited[s2]) = 0 s1 = 1941509, s2 = 7977143, d1 = 11, d2 = 24 Dl.O(d1) = 50097350 Dl.O(d2) = 255916499,268948329,260012747,261190095,141296054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1941509, s2 = 7977143, dlinesl.size( ) = 14 s1 = 1187625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1187625, s2 = 1929159, int(edited[s2]) = 0 s1 = 1187625, s2 = 1929159, d1 = 10, d2 = 12 Dl.O(d1) = 100337117,86380000,72783991,60045214,48648587,38727414,30145914,22758973,22758974,17613635,17613636,23962907,31457691,40139845,43853897,256991764,31399635,23907054,17563310,12392147,12392148,17563312,23907058,31399644,40080524,50101161,50101263,50101262,60451207,61581063,50101159,40080520,40080519,50101157,49186156,39260347,30664757,23248777,16984868,11899222,11899225,16984859,23248767,26652362,19838756,14212357,9770411,6424017,4030206,2415096,1397995,795542,450851,450850,795538,1397991,2415091,4030195,6424002,9770147,6423842,6423840,9770140,9770160,14211966,9770182,6424447,6424448,9770239,9770242,14212065,14213315,14213314,19838323,19838180,14212373,14212372,14212437,14212436,19838854,26651787,26651788,19840159,19840157,19838742,19838723,14212320,14212321,19838299,19838764,14212361,14212362,19838771,19838650,14212284,9770360,6423984,4030183,4030184,6423987,9770367,14212291,14212503,14212501,14212257,14212256,9771128,9771130,9770132,9770134,14211944,14212003,14212004,19838222,14213561,14213508,14213507,19838201,19839896,19838196,19838197,26651708,19838185,19838184,26651704,19840149,14213520,9771117,9771115,14213517,19839892,19839890,19838728,14212327,9770397,9770398,14212332,19838736,26652355,34643435,34643374,26652303,19838688,19838687,22075881,19838967,14212521,14212522,19838970,26652328,19838711,14212424,14212425,19838633,26652243,34643367,26652418,19840212,19838241,19838237,19838238,19838670,14212273,14212274,19838673,26652287,19838808,19838807,23310669,30728784,26651696,26651697,34642798,43915955,43915980,34644683,26653637 Dl.O(d2) = 4688806,4688803,4688804,7419817,11182699,16099670,21604353,16099781,11182844,11182845,16098991,11182007,11182006,15576116,15576806,11182760,11182472,11182471,16099501,21604377,16099502,11182475,11182474,11182139,11182142,16099143,16098956,11840016,7912830,5490046,3380702,3380701,5490043,8489041,10774931,11181864,10774418,7118993,4482297,2693159,2693158,2693277,1560287,887098,887100,1560251,2693208,4482394,7119167,10774706,15576366,16651619,17395252,17408925,12268653,9260740,6065427,6065429,7361365,8274444,5339020,5339023,8274452,8273483,5338425,3281493,1930165,1102794,1102790,1930188,3281581,5338599,8273758,12250690,17384770,23707897,31196568,39877778,49899233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1187625, s2 = 1929159, dlinesl.size( ) = 2 s1 = 1187625, s2 = 1929159, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1187625, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 9192689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9371174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9371174, s2 = 15054668, int(edited[s2]) = 0 s1 = 9371174, s2 = 15054668, d1 = 10, d2 = 13 Dl.O(d1) = 268199920,23338669,30761547,39362758,49289962,60691339,73439520,87057476,260077545,86462245,72866850,257566537 Dl.O(d2) = 26958009,35038015,28460752,268403974,28466305,21244184,15277333,15262069,10530129,254494941,2615262,2615263,4364215,6050387,8108943,5195252,5195251,8108940,255150807,256487725,49395187,50109023,269400565,260723349,143211343,155763546,261296002,185339465,175834539,165109936,272548999,99410877,85469911,71885217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9371174, s2 = 15054668, dlinesl.size( ) = 2 s1 = 9371174, s2 = 15054668, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9371174, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 13311027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7943734, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14084631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2299223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2299223, s2 = 13315365, int(edited[s2]) = 0 s1 = 2299223, s2 = 13315365, d1 = 37, d2 = 24 Dl.O(d1) = 33144853,42099018,52451836,64319390,77483294,71424473,61639759,52300146 Dl.O(d2) = 24654673,20222623,20222624,27127639,35221403,32254063,32254064,36946427,28446672,21220558,15251461,10521708,10521709,15251466,21220569,28446697,36946456,46824354,58190418,58636881,58636882,52681400,42294879,255993112,49040671,42294910,33314460,33314459,42294906,48938168,254807940,254807942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2299223, s2 = 13315365, dlinesl.size( ) = 2 s1 = 2299223, s2 = 13315365, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2299223, Dl.E( ) = 44, 1.72e-05 seconds used appending s1 = 8202770, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1945541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1888307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9453028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2301090, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6885922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6885922, s2 = 8314217, int(edited[s2]) = 0 s1 = 6885922, s2 = 8314217, d1 = 14, d2 = 23 Dl.O(d1) = 259659558 Dl.O(d2) = 74470051,88082478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6885922, s2 = 8314217, dlinesl.size( ) = 16 s1 = 13331459, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8363138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8363138, s2 = 13639156, int(edited[s2]) = 0 s1 = 8363138, s2 = 13639156, d1 = 35, d2 = 37 Dl.O(d1) = 60683891,60683892,58811553,58811552,71540576,85112116,73431667,60683739,60683738,73431661,74180079,74180080,74180187,87048193,87048194,99589102,87048175,87048176,101043721,270357631,60683320,49282779,39355664,39355665,49282781,60683910,60683938,60683939,73431936,66922609,54666057,54666058,66922595,60871802,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,17065659,23332307,256480255,49282782,60683912,73431222,60683426,60683425,70421158,57726150,57726151,70421161,73431891,84108979,73431248,60683447,60683446,57726212,57726210,70421246,73469828,77293266,73458475,73458476,87048251,73430928,61399828,49919738,49919737,61399821,74180046,73431707,73431704,71813603,59072300,47672182,37750016,37750013,258094365,59316546,49282752,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072646,71814067,73430922,87048242,101043753,101043752,115117732,101044000,101043999,101758189,115118071,108690323,108690290,94403086,80348737,66922543,66922544,73431572,87048968,87049290,87049289,101044597,111729140,97807173,258626329,57726126,46375841,46375840,57726123,60683759,60683760,73431702,87049130,101044477,87049309,73431853,60683868,60683869,70421225,83948046,258094326,84108979,73431248,60683447,60683446,70421249,83948074,256475792,73222738,60476235,60476236,73222739,256475794,73431068,60683303,60683304,73431072,87048414,91213542,77293233,77293232,91213541,257020510,256475790,73431651,73431616,73431615,80348799,80348796,83947905,70421117,258626327,73431860,73431848,70421263,57726217,57726216,70421257,259871299,259343846,87049309,87049308,74180011,257061742,39900030,39900026,49919714,60683514,60683513,61399779,49919708,39900019,31223295,31223296,39900022,49919709,61399781,74179983,80348744,80348745,94403092,108690293,97807220,83947952,70421155,57726146,46375852,46375853,57726151,70421161,73431891,84108979,73431248,60683447,60683446,57726212,57726210,70421246,73469828,77293266,73458475,73458476,87048251,73430928,61399828,49919738,49919737,61399821,74180046,73431707,73431704,71813603,59072300,47672182,37750016,29188684,29188683,37750011,47672171,59072266,59072265,60684000,73431121,87048473,80348772,66922566,66922564,71106182,84669428,73431686,73431687,87049105,97807231,83947965,83947966,87784900,87784899,101044463,115118130,105435892,91213556,91213555,101758281,101044262,87048870,73431474,73431473,87048869,258703170,73431406,60683559,257025121,39355534,49282551,60683563,64144201,52292027,52292025,64144199,60683732,60683731,73431652,87048207,258718154,258718156,87087781,84103763,70567282,70567280,84103759,97977892,111855673,97921439,84050751,70515508,70515509,83948036,70421236,57726205,46375888,257391421,70421238,83948065,73431386,73431388,87048775,99037373,85112099,85112100,99037374,101072001,87075914,87049031,73458491,73458492,87075907,258718710,73431836,60683860,49282748,39355646,39355648,49282756,60683644,49282609,49282606,49282401,39355453,30754834,30754833,39355452,49282398,60683314,70836746,73431414,60683568,49282558,39355537,30754887,30754884,39355534,49282551,60683563,64144201,52292027,52292025,64144199,73431654,87049062,87244418,87048834,87048833,83948067,70421241,70421246,73469828,77293266,77293264,73431562,257822320,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072649,60683219,49282340,49282341,60683222,60683204,49282330,39355415,39355416,49282335,49919697,61399757,74179951,87048423,73431079,60683312,49282395,39355450,39355449,49282393,60683307,60683388,49282441,39355475,30754849,23332254,17065635,17065634,11974920,11974919,17065658,23332302,30754940,39355638,49282735,46509446,36642176,36642175,46509442,57865535,70567277,73431834,66922581,60683602,49282583,39355559,39355558,257484142,70421178,70421179,255433034,74180221,61399933,49919815,49919814,49919799,49919794,49919795,57865505,57865506,46509425,37823629,37823628,31223315,256013639,17482213,12326113,8326461,5373781,5373780,8326460,10359308,15031476,14963437,10295856,6768796,4242228,2536436,1461612,827332,467025,467026,827334,1461614,2536441,3466930,3466929,4234962,267956455,3718803,3718804,4252918,2560610,2560609,4282886,6826817,10363474,12660305,9093685,5949214,5949215,6843376,6843378,5591903,5591902,6843360,10280596,10280595,14946404,10286973,10277695,10277696,10986901,15852622,19075377,19075378,20863944,18710122,18710121,15065201,10389130,10389131,15065204,20976478,28155495,36629536,46496207,40462190,31767657,31767656,40462188,36642149,28167142,20987049,15074422,15074421,20987046,28167137,24255578,17878014,17878015,24255580,31767654,40462186,50498102,61989818,61989819,74786097,70567236,70567230,70567231,84103715,97977854,111915733,102418127,88417704,74786099,61989820,257628876,40462180,50498095,61989825,74786106,88417707,88417708,260697282,88109386,74497859,74497774,61716549,61716540 Dl.O(d2) = 23386669,23386668,30816016,29568264,29568263,37444968,28905646,28905645,36874023,28377241,28377240,36874021,46753220,58121738,58407753,58407752,71125586,84689894,89176152,75429040,62510332,50909927,40792921,40792923,50909931,62510338,62510330,62510329,75429036,64364908,52492004,52492005,64364910,64364899,64364898,77532944,91464974,105690228,109857857,109857856,95654885,95654886,100361300,100361301,109857874,123996229,123996230,112566160,258915868,84649298,92359510,91663908,91663906,78325881,65045886,53062847,53062846,65045884,78325877,92359495,106663917,271075764,106663923,92359499,92359498,95225819,95225820,101153272,87155397,87155398,87155395,87155394,92359513,106663935,95668717,81635250,68145182,55747359,55747360,68145183,80306791,80306790,257469236,43876860,34606234,34606233,43876858,43876856,34606232,26618277,19808921,14189056,14189057,19808922,26618279,34606235,43876861,54619323,54619324,54619311,43876844,43876843,54619310,66877209,66877201,54619306,54619305,66877198,80306819,94363522,94363527,108651652,97985638,258921646,57873613,46518087,36651050,268907103,57873611,70574537,84110898,97985629,97985597,97985598,97985637,97985636,102292327,115000785,100946831,86963128,86963129,97985605,97985606,111924913,125744782,125744783,125744794,125744781,125744780,127756056,113880188,113406219,113406220,127264397,127610354,127610353,140959488,153625653,153625654,153289821,140609952,127264403,127264402,140609950,141113619,141113618,152540060,164402218,175189516,175828250,173552081,162518680,162518681,153787016,141113616,141113617,153787018,271802466,141113612,153787012,153787010,153787011,165568655,176245650,176813677,166196074,154462163,141816093,128463166,128463158,128463159,114578988,100548263,86587302,72990237,60254888,48862086,48862088,268963188,39191395,39191394,49119463,60520833,72990238,86587303,77347902,64416815,52542324,52542323,64416812,77585788,73265985,73265984,86878056,91268008,269635392,86878063,100858584,268825758,100663075,86878061,86878062,77585799,255739432,52542330,64416827,67580833,64416824,52542329,42183502,33223479,33223478,254468836,17021015,17021014,23279749,30694966,28757440,22072860,22072859,29403237,31375967,23879717,17534238,12367080,12367083,16029180,16029179,12367088,12367090,17534257,12415718,8391744,5415441,5415443,8391757,6482406,6482407,6482227,4061953,4061950,6482217,9867904,14360894,20046593,26932781,28309419,32851872,32851873,35018834,28862076,26931085,26931083,29129806,30834694,30147494,22760417,16548262,12004769,8059967,8017280,8017279,5120629,3110868,1817862,1037936,584617,584616,1037934,1817859,1834320,1834322,3137219,3131101,1830410,1044677,1044678,1830414,3131109,5146229,5138833,3125266,3125268,3122849,1825294,1041906,1041907,1825297,254382991,8045555,5226845,5226844,5108867,3101949,1812403,1812404,3101951,5038486,5038488,7523805,7523807,8019708,5174895,4756165,2866634,2866635,4756167,3111298,1818114,1818113,3111297,5121238,8031947,11982965,12021214,8080987,8080985,12021213,11689058,7795433,4943055,4943053,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,6475642,9858078,14348018,20031068,23363913,17094939,268237542,23351362,17083824,11996073,8048178,8048179,11996075,12311755,12311756,17463752,14348513,14348514,15981925,11094951,11094950,11633311,16667451,22897816,22954271,22898911,16668629,11686144,267983884,22965055,22950695,22899000,16668625,11634196,7750541,4908444,4908445,7750543,11634069,7750487,7750486,11634063,16668386,22898731,23342790,22970061,16734221,11691490,255125799,22970056,30371588,37094456,255139492,267900650,16221807,16221806,22378078,23359966,254377446,30687276,38394884,267988344,30756523,23333837,22898800,16668455,11634102,11634103,16668458,22898806,29793971,30781252,254564970,23285491,23270659,17007808,11921328,7975593,5075382,5075383,4517293,4517294,5158481,5158482,8030686,11982044,17070850,16959205,16959202,16221846,16221847,22378125,22456450,23227040,23227038,17007670,17007672,17067816,17067814,16179041,16179042,17075600,11988528,11977633,11977634,17067394,254175990,17093128,12006236,8062332,7973868,7973870,8024649,7973877,7973878,7993311,8025109,8025110,11866600,16954199,16287785,11907865,11907864,11916381,7971257,5072074,5072073,7971253,7999560,7999559,11542094,7992878,7992880,11941999,17026957,11982122,11982121,11327048,7523239,4757041,4757042,7523266,11327083,11921396,15573106,10772293,10772292,10771267,7116851,4480923,4480924,7116856,10771275,7170992,7170993,7975691,5075440,3077815,3077813,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,5172053,5071662,3074933,3074931,5071660,7970705,11915613,17002429,23266256,30683086,39280025,49206397,60606855,50505197,40469497,31774641,31774642,30904792,23470174,17189443,17189442,23470172,30904791,39512935,49444143,60845679,73595127,73595130,60845684,49444146,49444147,49444141,49444142,60845677,61996755,61996756,74793149,87217168,97985274,84110445,70573991,70573990,73595108,73595109,87217154,73595106,73595105,80317653,66889281,54631553,43888157,43888156,54631551,66889277,80317646,92743330,78679778,65374806,59096054,59096053,71835655,85423047,258392901,258392899,70573987,57873034,57873033,70573986,73595132,73595133,77347887,64200209,258392897,66889292,54631560,54631559,64200213,52349750,52349751,42010426,42010427,52349769,52349790,42010448,33066271,269988916,64200254,77347926,77347895,64200221,257188879,42010418,42010411,33066270,33066269,33066237,33066236,42010412,52349753,256487714,36515965,36515964,31775331,31775332,40470166,50505782,61997350,64200240,52349778,42010435,42010436,52349779,64200242,77347906,77347905,70420575,57725431,57725430,64200283,257611786,69296637,56730772,45585573,45585574,56730775,50062791,40043304,40043303,46508520,36641235,36641234,46508518,57864588,64200268,62987647,62987649,75970188,89749135,103853013,110833070,124788749,137374595,124788750,110833075,96771711,96771712,110833076,119729073,133602971,123642918,123642908,123642907,123642904,109450239,109450238,123642902,133948189,146859136,133601719,119727413,105488286,91265884,77345895,77345894,91265882,105488276,91265877,77345893,77345892,91265876,105488274,119727404,125476775,125476776,138804036,138804034,136858656,123027672,123027671,136858654,136858658,123027675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8363138, s2 = 13639156, dlinesl.size( ) = 14 s1 = 6969033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6969033, s2 = 15173841, int(edited[s2]) = 0 s1 = 6969033, s2 = 15173841, d1 = 41, d2 = 33 Dl.O(d1) = 260733426,50238855 Dl.O(d2) = 255189446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6969033, s2 = 15173841, dlinesl.size( ) = 50 s1 = 15110328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15110328, s2 = 14163819, int(edited[s2]) = 0 s1 = 15110328, s2 = 14163819, d1 = 7, d2 = 4 Dl.O(d1) = 60692292,49290864,39363685,39363684,30762407,23339441,17073229,11985171,11985172,17073230,23339444,23339294,17073132,17073131,11985250,11985252,11599454,11599452,16629048,22854441,17073351,17065031,17065033,23331678,30754168,24326061,24326062,27081869,20183982,20183983,25056626,18518611,13157610,8968274,5854573,3654568,3654567,5854569,8968261,13157593,18518510,18518509,25056472,255780166,28960815,28960816,30762404,39363682,41658566,35170186,35170187,44547912,41658459,32747883,32747884,41658462,49283397,49283396,60521030,58218298,58218299,51966138,41658341,32747763,32747765,255275092,37503891,47411421,51966395,41658605,32747994,32747995,41658610,41658563,41658562,51966350,49119648,49119647,51966122,47411431,47411430,37503914,37503913,47411452,41658613,41658612,51966257,41658658,41658657,37503901,32747973,32747972,36464727,32747959,32747960,30605163,23186073,18518554,13157580,13157581,18518556,25056550,32747992,41658602,51966389,256615382,53005725,44461249,35085982,27001169,27001168,35085980,44461243,55306248,55306247,63108116,52841529,51670570,51670569,60786794,72476145,85762781,76690987,76690988,90557328,77521287,64355960,52485677,52485676,64355957,70561439,57859744,57859745,63407896,51664540,51664541,41584998,41584999,51878049,63676182,269194565,44547896,51411617,51878071,59753536,51878110,41585039,32687249,25007565,25007566,32687252,41585045,46850496,58218324,52931949,42521014,42521015,52931951,46503443,36636203,33335053,25575350,25575349,33335048,42315656,33520673,33520674,42520906,52931868,52931843,42520900,33520670,31794056,31794055,36636183,36636184,38469580,29911737,29911736,38469576,33520945,25741074,19107568,13642591,13642590,19107493,13642558,13642557,19107485,13642576,9342136,9342135,13642572,19107517,25740983,33520813,39263237,30667612,23252079,23252080,23252100,23252101,23934991,23934990,31425803,39263279,30667597,28161429,20981758,15069675,15069676,20981762,25740908,25740907,33520696,42520929,42521139,33520846,25741007,25741008,33520855,42520990,42520991,52931931,57859779,50125876,40105689,40105691,49190350,49189352,42521241,33520921,33520920,42521236,40257124,33520753,33520752,25741026,19107538,19107536,25741022,33520881,30667568,23252064,23252065,23252093,16989126,11903808,11903810,16989133,12417443,12417444,17591948,23935018,31425843,31425790,31425787,28006297,28006296,36464971,36464998,36464912,28006261,20841790,20841787,20841829,28006340,36464917,36464916,46317531,52931993,64857864,78055129,78055127,64857859,52931992,52931991,64857857,73440583,60692293,60692294,73440584,87058661 Dl.O(d2) = 115129328,129057101,116159438,259522763,74504918,257667607,50244850,61723709,74504921,88116162,88116163,258712240,123532843,137264000,150304943,162440852,164890643,175646268,164890646,164890647,175646271,175646272,176546667,165895347,154131165,261282990,114207649,100175094,86211150,72612533,59873853,48481914,44473363,35096776,27010345,20118455,14427860,9924615,9924614,12805037,12805036,18061351,24483996,32049403,40809555,50929146,42036874,42036873,35368206,35368207,29604604,22254746,16116107,16116108,22254748,27066175,27066174,256394563,40524357,35151855,35151856,44528136,38171876,38171877,48084241,59474531,72212094,85806210,99760067,259992761,98170149,84274978,70723455,269303737,255377207,10429002,6875784,6875785,10429004,268025746,25303145,18728139,18728138,22458115,22458114,17971874,17971877,24367921,28495224,23399331,22589832,22589833,29953694,38518310,270841130,86145229,100111274,114144889,128033864,141402309,262257059,176500766,176500765,185930410,194151504,264358938,273448188,262472954,150528589,137498680,123774609,258403518,67802501,67802500,81270153,95329287,109584444,123774608,260274670,162647654,152211047,139481573,269772846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15110328, s2 = 14163819, dlinesl.size( ) = 2 s1 = 15110328, s2 = 14163819, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15110328, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 6480953, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1949729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1949729, s2 = 10248244, int(edited[s2]) = 0 s1 = 1949729, s2 = 10248244, d1 = 0, d2 = 22 Dl.O(d1) = 50247922 Dl.O(d2) = 189574083,180674813,262248080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1949729, s2 = 10248244, dlinesl.size( ) = 16 s1 = 13706635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9422468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6613027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6613027, s2 = 8506289, int(edited[s2]) = 0 s1 = 6613027, s2 = 8506289, d1 = 34, d2 = 25 Dl.O(d1) = 256540457,50288701,61768483 Dl.O(d2) = 258156755,86219361,271314784,86219362,100182940,114214929,128103176,141468628,129247331,271781934,87240453,101240891,114932248,114932247,100880689,86900578,73290037,73290036,86900577,100880687,114932250,128831620,141344210,127981115,114096222,114096223,127981116,127981119,122216466,107810019,93387310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6613027, s2 = 8506289, dlinesl.size( ) = 2 s1 = 6613027, s2 = 8506289, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6613027, Dl.E( ) = 36, 1.41e-05 seconds used appending s1 = 9736022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9736022, s2 = 14157744, int(edited[s2]) = 0 s1 = 9736022, s2 = 14157744, d1 = 5, d2 = 7 Dl.O(d1) = 58312173,58312172,71027890,84592245,98517544,90535317,76671702,63585036,51799115,51799116,63585037,76671704,90535321,100973642,98517527,98517526,257601788,98517525,257021278,115029591,100973699,86987972,86987973,258832448,87076025,87076024,98943868,256476602,95531940,109741421,100987909,86995156,73379827,73379826,86995152,100973646,86987914,86987913,270355996,128932429,129799286,115899134,101853110,101853109,115029558,115029543,100973618,86987895,86987894,100973615,115029537,128932416,142283045,142283049,154915013,258876148,128932433,115029566,258876150,86987938,100973668,101853123,87880031,74277838,61501189,60629823,60629824,73375361,257644674,65356451,53354002,53354001,65356449,78659924,92722384,107061653,121358444,115899141,115899142,129799291,121358442,115899145,115899138,101853112,87880024,87880025,101853114,111754636,259500340,111754639,125562126,258253550,100973610,92722385,269870588,258253548,90680419,90680418,104848755,270383276,128932414,142283042,135209097,121358443,107061650,268993892,78659922,92722380,83969754,83969755,97830564,111754641,257061964,73375402,73375404,73375409,73375408,86987950,100973612,86987891 Dl.O(d2) = 83969695,70442258,70442257,83969690,97830495,97830543,101795971,87822686,87822685,101795969,115842924,101795966,87822682,74218188,61438850,49960880,39943986,39943985,49960878,61438846,70442306,83969769,258876124,125562133,138894800,258253546,97830569,97830570,87822675,74218179,74218178,87822672,83969733,70442289,70442290,83969736,97830545,97830542,83969729,70442287,70442286,83969726,70442325,258628267,97830596,111754657,125518021,111754623,111754622,259873417,83969772,83969773,97830534,258628259,258628257,97830532,97788149,83929138,83929139,83929169,83929170,97788179,111710859,111710857,260470881,261603733,125517992,125517993,138850852,125518024,111710870,97788188,97788187,111710830,97788153,97788154,111710831,107425758,93017228,78907205,255675730,53547494,65572246,78907206,93017230,107425763,121808181,135747533,137315709,137315707,137315731,143073690,143073691,155623097,162490111,150356814,137315755,137315754,150356812,150356785,137315728,123584491,109392750,257764970,81080911,95138750,109392748,123584489,132040859,145278533,132040844,118220858,259601987,76126247,76126248,89932052,89932070,76126258,76126259,89932038,89932039,89932045,104061505,89932062,76126253,76126254,89932064,258980470,258690065,98864184,271776481,140051175,152741069,140051159,261654349,262173391,152585923,164441782,263018378,170573377,170573380,173283961,162190294,162190295,173283963,175222964,170573396,165924638,154164046,154164045,146862769,133605910,133605909,146862767,159236087,159236085,146862761,133605904,128137372,114250886,100217002,86249941,72648647,258506520,30027385,256425529,48514949,59908111,72648644,86249937,100216995,100216999,114250877,114250878,102160331,102160332,88169340,74554266,61770632,258902583,102160329,116221695,261310351,156002273,167611537,178074265,187310845,195350367,202224879,202224880,208004877,202224883,195350369,194797319,186680292,177359857,166808763,155114316,261320238,115162343,101085767,87089153,73471327,73471328,87089154,101085768,87089155,73471329,60723051,49320765,39392661,39392660,257608413,270358817,101085757,115162334,128461692,258769968,101085763,101085762,115162340,129093044,142469979,155114311,259653748,153400478,258399230,257194428,256123902,71948820,59210200,47811605,254443430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9736022, s2 = 14157744, dlinesl.size( ) = 2 s1 = 9736022, s2 = 14157744, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9736022, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 6613047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6613047, s2 = 13533332, int(edited[s2]) = 0 s1 = 6613047, s2 = 13533332, d1 = 44, d2 = 63 Dl.O(d1) = 256540771 Dl.O(d2) = 204093055,197582503,189935805,181066789,170954747,159631327,147275106,134056564,261125392,106019289,91824240,77902806,77902805,76971185,63859382,52039778,41724663,41724662,52039777,63859378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6613047, s2 = 13533332, dlinesl.size( ) = 8 s1 = 8147597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8147597, s2 = 10352319, int(edited[s2]) = 0 s1 = 8147597, s2 = 10352319, d1 = 38, d2 = 42 Dl.O(d1) = 34968428,26889441,255320891,9843690,6465122,4050789,2424260,254152423,141045,77218,77217,141042,254809,452180,267761987,2424241,4050635,2424171,2424172,4050636,6464870,9843297,14329021,18246311,24719489,18792878,17987920,12749082,255210479,256035145,40280870,50301064 Dl.O(d2) = 272749236,273439556,100715303,258379916,257176430,39069212,30476836,23066415,16817421,14505159,9981075,7851337,4983693,3010409,3010411,4983581,3010370,3010372,4983647,7851489,11759546,16816600,23065507,30475925,32837735,32837736,32837740,32837739,34617367,34617866,28328442,21118088,15171375,10463392,10463393,15171377,20164820,20164821,27058297,29320204,21991394,21991395,19816628,19816629,21991339,28084222,28084225,28329008,36824560,32837749,32837750,31471251,31471250,26169928,19469006,13933658,13933659,19469011,26169931,34011792,31091209,31091210,24133361,24133360,31640492,25470036,18870487,13446678,13446677,18870485,20284693,27213225,29442253,32549064,25132548,25132550,28203068,28328534,21118154,21118153,25769958,33559327,42576003,53016144,47242053,268497588,21529472,21529473,28794540,33487105,25712339,19084585,19084584,24924146,18415162,18415163,24924149,32580945,34755196,30502522,23088623,16834847,11772792,7859985,4988594,3013166,1750223,1750222,3013162,4988584,7859958,11772733,16834900,23088711,22671508,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29317300,21988874,15892261,11017240,11017243,9353300,9353301,11017085,15892006,21988510,26157310,26163345,26163344,34005097,33559142,28329105,21118588,15171657,15171659,21118581,21118335,15171521,15171520,21118331,255682302,46706654,255280712,39098401,34000256,255683018,270050129,121797339,256728036,255317748,254116218,34653187,34653188,43898589,269614049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8147597, s2 = 10352319, dlinesl.size( ) = 38 s1 = 1597914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6613338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349172, s2 = 14291588, int(edited[s2]) = 0 s1 = 10349172, s2 = 14291588, d1 = 72, d2 = 46 Dl.O(d1) = 258505000,60635686,72622640,59883954,59883952,72622634,60635605,60635604,73381643,73381670,60635633,60635634,73381672,84664060,84664002,71100825,71100824,84664000,84664062,258504992,52245489,52245488,64092832,257578572,77237074,86996821,95350589,81294346,81294347,91152670,77237045,64092807,52245471,52245472,64092813,77237061,77237004,77237000,64092779,64092778,77237011,76610693,64836193,64836194,78033849,90469147,76610723,76610724,90469149,88104511,88104512,78037191,258275218,91961333,91961332,84526170,257665184,90469130,76610700,63531022,63531021,76610699,90469129,90469118,76610688,63531013,63531014,76610690,90469120,93010283,91152652,259637369,78900488,78900492,74368741,74368742,87970821,78862808,65526892,257250475,33964555,256691853,53501419,65526894,78833799,65502141,65502142,55469919,55469920,60002431,53363804,44620721,44620720,55469921,60468730,49065307,49065309,40762577,32007316,32007317,28572609,28572610,26031488,26031487,33852645,42897644,53363722,257553512,55469916,55469915,67811461,74352981,67811409,55469832,44620652,44620653,37075741,37075740,37075750,37075749,46955908,53363624,55469825,52394979,46955916,46955915,53726041,65782462,61640146,50156650,40134257,40134258,46750302,46750303,256636303,25359558,25359557,33029805,33029806,268150710,33029814,25303527,25303528,33029815,40369855,31675347,24165825,24165826,19429779,19429778,26124182,33962256,34004283,34004274,26162503,26162504,34004278,43062308,47751419,37829094,29263442,21941826,21941825,25303516,25303517,31453531,23959962,17611787,17611788,23959968,31453543,33503066,33029837,25303549,18728424,13332470,9109620,9109621,13332473,18728433,25303567,25779209,25779210,33569325,42586322,52313370,42506054,33507211,25728824,19097131,13634509,13634510,19097133,25728829,26124194,19429786,13902020,9540271,9540273,13902022,19429791,26124203,33962283,43019933,36749775,28254562,21053885,21053887,28254570,36749780,41972921,33029791,33029790,34004043,26162335,19462171,13928030,13928032,19462176,17719557,17719558,24076285,17719533,17719532,24076283,31581930,40268851,40268875,40268885,255990070,60862427,54716759,54716758,255891490,85015445,94465817,80405983,74242316,73340391,270354999,88168474,260145619,61840117,50355964,40328782 Dl.O(d2) = 62734196,51103344,51103345,62734197,75680326,76355578,90183839,104336298,90183828,270481069,51600773,41375797,41375798,51600774,256602263,24882966,268475009,41375803,51600785,63324320,76355553,76355552,76355529,63324301,51600766,41375791,41375792,51600749,41375780,256602261,32526551,41375788,51600762,63324297,76355556,76355534,76355535,76355547,63324284,51600752,41375783,41375784,51600755,63324289,257837646,72005221,72005220,76355541,257742567,41375781,41375782,51600751,63324282,76355545,76355539,76355540,90183811,90183818,76355550,64609853,64609852,77792597,90183812,90183813,90183809,76355538,71634640,58913911,58913912,71634642,85199466,99122153,259461012,93482530,107916758,113112501,113112500,260077648,270910078,111828078,99122157,258278896,84025879,71634629,71634630,74312969,85199460,85199459,71634649,256480790,255979008,58913915,71634646,85199472,84237855,70685127,57967030,46590555,46590556,57967032,70685131,57967035,258017817,70685124,57967028,57967026,70685120,81222455,67756330,67756331,258539143,67756327,81222409,67756286,55416145,256753533,27101833,20202073,14495925,14495926,255752205,35190723,44568868,55416146,67756289,81222401,258433692,257224738,55416140,259168139,271071460,95279796,81222436,260397659,260329316,95138600,81080749,67613648,67613647,81080748,67760888,67613663,67613662,67613650,55273061,55273062,67613651,67760883,55420798,44573543,44573542,55420797,270139565,257324948,256921957,256232916,15965171,14400092,14400093,20084246,26969905,35051267,256686620,37954733,37954734,44425962,35051260,26969899,20084243,20084242,26969897,35051257,44425955,55273053,67613640,81080742,81080745,81080746,85592272,95138596,99539462,85592271,72005218,256168850,47873168,55273065,67613653,81080754,89054564,269780104,62425928,270438619,258051382,62425929,75325635,89054566,103125389,103125387,258675720,62425931 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 515835, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7989952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7989952, s2 = 772435, int(edited[s2]) = 0 s1 = 7989952, s2 = 772435, d1 = 74, d2 = 185 Dl.O(d1) = 268165179,6393150,4012073,4012072,6393195,9718258,14125802,19700988,26440278,31585574,24079808,17722617,17722616,267772848,254409842,5499110,5499111,8497715,12536039,8563174,8563171,12615172,17817788,15739129,15739128,17794839,24162417,20148306,14453286,9943740,9943739,14453284,13358280,9944001,8532332 Dl.O(d2) = 25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,4321440,2585029,1489956,843521,843522,1489958,2585032,4321446,6884043,10442408,15140478,21077905,23024428,16783012,11734645,7834577,4973130,4973131,7834579,9186366,6012431,6012432,9186369,13434995,254808077,4973134,4973137,7834590,255128083,19696933,14122813,9716223,9716226,9716178,9716177,255309843,26435362,34313584,43414740,35096520,255745701,14427750,14427749,20118276,27010091,35096518,44473174,40523729,31826658,254593470,35368290,27244385,20313076,14577620,10031003,6592485,6592484,8330417,5376460,3306036,3306037,5376463,6175898,6175899,9425451,13754990,19250218,19250606,25912398,33718973,33719120,31336061,23844122,17503116,12341845,8337990,8337989 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1966651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8039595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3515427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16397318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16397318, s2 = 11657859, int(edited[s2]) = 0 s1 = 16397318, s2 = 11657859, d1 = 23, d2 = 11 Dl.O(d1) = 85519344,71931671,59192063,47791860,255935194,21971311,15877538,11006052,7285764,4594537,4594538,7285766,255066233,21971310,29298107,37867329,47791859,59166474,50408334,50408331,61898801,74692471,88320075,102315760,116408184,105940463,91733115,77805397,64622949,52722835,42335834,33354711,33354710,255674463,13547532,9274501,6075065,3801071,3801072,6075067,9274503,13547537,18984844,13662454,255280185,9356015,268517028,255140781,23267135,25592558,255270297,9273522,6074415,6074413,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,5371480,6115480,3829371,2294239,2294237,3829382,6120529,9344342,9303959,6094618,3813192,3813191,6094631,6095281,6095282,5371499,5371500,8323975,9298317,9298319,9305160,13589756,9305135,6095257,3813484,3813485,6095262,9305145,13589774,13610476,13582821,9318813,6104374,3819485,2288300,2288303,3819496,6104399,9318857,13609279,9352402,9352404,13657657,12323202,12323200,17478492,19087635,23812344,268225782,16468681,22663341,17723680,12539373,268116665,25134551,22433663,22433662,19144649,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,17806702,19121392,25760411,31974643,25789524,19144608,13669820,255280767,24241714,17865868,12651847,8590104,5581775,3463283,3463282,5581773,8590100,6085058,5583292,3464062,3464061,5583289,8592963,255201981,17872800,24250073,268691093,50492183,61984043,74780144,258883910,74769085,61971646,50478680,40442018,31747465,31747466,31747459,24236451,24236450,31747457,40442005,46662907,49379771,40202324,31515765,24014815,17666960,12492989,12492988,17666957,22549589,22549590,29905744,38463013,48364601,49379778,58035626,61706285,50224570,50224571,46662827,46662829,58035553,256976424,47336577,37428297,37428298,40202706,31516052,24014996,24014995,31516042,24014989,17667050,17667049,24014985,24014977,17667045,17667046,24014981,31516038,40202686,50224913,50224699,40202416,31515839,31515838,40202245,40202244,48613612,48613611,60004441,48613557,38698067,38698068,46920833,46920860,38698148,38698145,38698151,48613647,255933884,46920850,46920854,47725237,37803710,29239854,21921046,21921049,29239864,37803730,47725253,38465740,29908343,29908341,38465731,37803677,29239840,29239839,37803672,40202690,43309919,38465892,38465891,47725182,37803651,29239824,29239822,37803641,30121192,30121191,38698075,34249838,26372748,26372751,33206193,42166367,33206183,25458695,25458694,33206181,42166365,48613337,38697740,38697741,48613338,60004287,52524782,42166351,42166352,52524783,43309972,34211708,26337967,19609458,19609459,25458725,18859166,13436874,9186745,6012649,6012648,9186738,13436861,18859143,25458691,30121234,22738996,16531679,11521673,7664266,7664267,11521676,16531688,255933555,38698180,47224408,47224409,58617644,60586449,60586448,258828601,270874143,258654062,58920432,47539035,37633345 Dl.O(d2) = 260040396,258799398,48745129,38825020,268650182,22845585,16622299,11594744,11594743,13278861,9063323,7644125,4835933,2913915,2913914,254542009,11493264,16496054,22699234,30080779,30234960,30234962,30239531,38822769,40564638,50605688,62104347,58721274,47332664,47332663,58721273,47332666,37424291,28882039,21606121,15577590,14253004,14253005,255044353,254505545,2693378,1560348,887135,500563,500565,887142,1560362,1560382,2693439,4482758,7119806,9138589,5980228,3739569,3739571,5980240,9138604,12476592,9141283,5982753,5982752,9141625,9140518,9137823,5979687,5979688,9137830,9141533,9141534,13374960,255859403,18780933,17264676,12144328,12144329,17264679,23576088,23993214,23397292,23397293,17645727,17645726,22969047,23976947,17629599,12450896,8419298,5433853,5433854,8419302,5434575,5434574,254857947,17630520,23977760,31474118,23983184,17637023,17637021,17643439,255576763,17619584,12439830,12439829,8419144,5456088,3354286,1971896,1971897,3354288,5456090,8410693,5427531,5427530,8410691,8433331,8407744,5425409,3335195,1961485,1120502,630877,630878,1124898,1970107,3351082,5451171,8441850,12472429,17645775,23990520,31487512,40172563,50196296,46732887,36850063,28352439,21138504,15187828,15187827,21138502,28352436,28529578,36849579,36849580,28529286,28529285,32175065,40954476,49761928,46732811,254951922,29303518,25466307,18866181,18866182,21307612,21690240,15650575,10832673,7160806,4510053,2710084,2710082,4510048,7160791,10476069,15187712,21138302,28352199,29460637,22126143,22126142,29460633,23689163,23689161,28529869,21307479,21307478,17752733,12561124,12561123,17752728,24113521,30364879,29308517,29308518,36849979,28673707,28221544,21026379,15102375,15102374,21026376,20219565,14509208,9983931,9983932,14509209,20219568,27123426,35216175,44362706,36849472,36849471,46732456,38830832,30247364,30247365,38830833,48750919,60145271,72881777,86477216,100434461,114458986,128335906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16397318, s2 = 11657859, dlinesl.size( ) = 2 s1 = 16397318, s2 = 11657859, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 16397318, Dl.E( ) = 24, 1.69e-05 seconds used appending s1 = 1957405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9416743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9416743, s2 = 15447653, int(edited[s2]) = 0 s1 = 9416743, s2 = 15447653, d1 = 0, d2 = 0 Dl.O(d1) = 258301750,74713968,270403065,50430987,40397652,31705693,24198068,17828798,12624073,8570171,5565921,3449639,2043233,2043231,2449870,1416454,1416452,2449865,4095010,6535761,9944156,8511258,8511259,12553336,17741758,24083153,31588119,26893157,20011933,17774448,17774449,24105020,26442538,19703712,19703713,19701131,14127701,14127700,19703493,26442682,24155768,17788657,17788658,256038729,26442672,255463668,255310191,20149906,14454518,9944494,9944493,14454516,20149905,26441455,22314111,22314110,29665910,29662840,22310196,22310195,267996518,24179318,24179319,31688088,254529172,254237210,8550273,5548837,3434426,2031536,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129061,17920792,15735933,15735935,10898457,7208062,4541690,4541688,7208052,10898430,15736007,20012220,26893413,34972411,29668904,22317497,16172278,11239656,7459920,7459919,10890180,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,254588394,16163164,16163163,17041199,11954695,8002803,7459766,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,5094767,3092445,1806832,1806833,254380191,8002722,11954538,17040979,12294070,12294072,15736513,12310939,10898774,10898775,12237980,12237979,17370321,19781546,26585710,34572590,28021323,20854582,14953744,14953743,254398052,254398050,16311263,11348672,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651344,16690259,17456826,17456825,21272870,15311711,10574974,6975382,6975381,10574970,15311707,21272863,28489071,36985895,46864404,58232343,255584254,98434610,112422824,126285438,139655279,152375730,164248369,164248368,164248366,175054132,184647103,193025498,200214021,206284177,211302384,215402665,215506319,263257026,211415314,208035527,206284176,200214019,193025497,193025498,200214022,200359357,262831084,262662117,152677844,139979786,126626182,112771237,98781819,84855521,71282053,58550563,47161971,37256662,256870429,58550565,57747801,46397002,46397003,57747803,70442945,70442941,70442940,83970297,86270749,72670675,59930870,48537744,38622880,30049075,22673579,255106999,11480405,16477188,22673582,256191549,19699625,19699626,26439085,23621030,23621029,22673577,16477186,11480401,7635657,7635658,11480403,16477187,22673578,30049073,38622876,48537741,48537740 Dl.O(d2) = 258301750,74713968,270403065,50430987,40397652,31705693,24198068,17828798,12624073,8570171,5565921,3449639,2043233,2043231,2449870,1416454,1416452,2449865,4095010,6535761,9944156,8511258,8511259,12553336,17741758,24083153,31588119,26893157,20011933,17774448,17774449,24105020,26442538,19703712,19703713,19701131,14127701,14127700,19703493,26442682,24155768,17788657,17788658,256038729,26442672,255463668,255310191,20149906,14454518,9944494,9944493,14454516,20149905,26441455,22314111,22314110,29665910,29662840,22310196,22310195,267996518,24179318,24179319,31688088,254529172,254237210,8550273,5548837,3434426,2031536,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129061,17920792,15735933,15735935,10898457,7208062,4541690,4541688,7208052,10898430,15736007,20012220,26893413,34972411,29668904,22317497,16172278,11239656,7459920,7459919,10890180,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,254588394,16163164,16163163,17041199,11954695,8002803,7459766,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,5094767,3092445,1806832,1806833,254380191,8002722,11954538,17040979,12294070,12294072,15736513,12310939,10898774,10898775,12237980,12237979,17370321,19781546,26585710,34572590,28021323,20854582,14953744,14953743,254398052,254398050,16311263,11348672,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651344,16690259,17456826,17456825,21272870,15311711,10574974,6975382,6975381,10574970,15311707,21272863,28489071,36985895,46864404,58232343,255584254,98434610,112422824,126285438,139655279,152375730,164248369,164248368,164248366,175054132,184647103,193025498,200214021,206284177,211302384,215402665,215506319,263257026,211415314,208035527,206284176,200214019,193025497,193025498,200214022,200359357,262831084,262662117,152677844,139979786,126626182,112771237,98781819,84855521,71282053,58550563,47161971,37256662,256870429,58550565,57747801,46397002,46397003,57747803,70442945,70442941,70442940,83970297,86270749,72670675,59930870,48537744,38622880,30049075,22673579,255106999,11480405,16477188,22673582,256191549,19699625,19699626,26439085,23621030,23621029,22673577,16477186,11480401,7635657,7635658,11480403,16477187,22673578,30049073,38622876,48537741,48537740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9416743, s2 = 15447653, dlinesl.size( ) = 2 s1 = 9416743, s2 = 15447653, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9416743, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8235938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2963571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2964282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7615631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9423894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342010, s2 = 10249530, int(edited[s2]) = 0 s1 = 10342010, s2 = 10249530, d1 = 90, d2 = 135 Dl.O(d1) = 254616211,2055083,2055085,3465566,254616213 Dl.O(d2) = 264829044,264302548,264302545,264302550,263647960,263647955,195479934,202339533,208106300,212860891,212860894,208106302,202339538,202339530,195479932,195479933,202339529,195479931,263993781,187459296,187459297,263993783,195479939,202339535,195479936,263993783,195479939,273753132,195479941,202339530,202339531,208106297,208106298,202339525,263647956,178242569,178242570,167797980,156202818,143673598,143673599,143673601,130349394,130349395,143673604,156202823,156202820,143673600,130349394,130349395,143673604,262370373,178242580,187459300,195479940,263993784,195479940,202339537,274124064,265443175 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8511376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8466926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8466926, s2 = 8511377, int(edited[s2]) = 0 s1 = 8466926, s2 = 8511377, d1 = 38, d2 = 44 Dl.O(d1) = 262370523,178243763,187460338,178243765,263265097,262840140,167799133,263265093,178243768,167799154,156203934,143674622,130350387,116514140,102418736,88418375,88418374,102418734,260752831,143674614,156203926,261323370,116514148,116514149,261323377,130350402,130350401,143674641,262370514,130350376,116514131,116514129,130350372,130350378,116514134,260752827,143674611,156203922,167799144,178243760,263648096,167799141,156203921,156203922,167799144,178243760,187460337,195480768,273895943,187460340,178243765,263265097,262840140,167799133,263265093,178243766,167799149,156203928,261323366,116514138,102418735,88418375,74786796,61990431 Dl.O(d2) = 130350401,143674641,262370514,130350376,116514131,116514130,130350374,143674606,156203916,167799135,273396239,130350392,260155488,74786798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 6773938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6773938, s2 = 11168440, int(edited[s2]) = 0 s1 = 6773938, s2 = 11168440, d1 = 37, d2 = 60 Dl.O(d1) = 258293907 Dl.O(d2) = 257562579,256437813,16640365,11608300,11608298,7736051,254366407,1711955,1679481,955368,955367,1679472,254291139,2140494,254432161,8844633,12991992,18303088,24784910,19286169,19286168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6773938, s2 = 11168440, dlinesl.size( ) = 20 s1 = 2966074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2966074, s2 = 8721955, int(edited[s2]) = 0 s1 = 2966074, s2 = 8721955, d1 = 142, d2 = 178 Dl.O(d1) = 88422864,77925821,64734991,64734990,74473834,61691132,50209295,49137038,49137037,255968110,51602772,51602771,61994096,50502110,50502109 Dl.O(d2) = 210987943,264152079,263463947,163459861 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 814816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6635179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2315393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13450241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1961903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10198003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9113303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9113303, s2 = 14061583, int(edited[s2]) = 0 s1 = 9113303, s2 = 14061583, d1 = 0, d2 = 0 Dl.O(d1) = 3608808,2209120,1282626,1282623,2209155,3690033,254199838,25197276,25327870,25327871,33056490,41999890,40503487,31808131,28611793,21376370,21376371,28611795,37122530,37454463,28915202,28915204,37454467,37845835,33056728,33056731,36827289,46709507,36827251,36827250,40501073,31805915,256556391,50536228,62027829,258919835,102461683,116560767,130400750,143726702,143726700,143726694,130400746,130400748,143726693,143726692,263267515,178280037,263650433,202361522,206320986,200259113,273527919,263093367,164346243,152477500,152477501,164346245,261647445,126379358,112507986,112507985,98512776,84587645,71023423,58307848,58307847,71023422,84587643,98512769,84587638,84587639,98512770,112507983,126379354,139755523,152477496,150491841,137456783,131193865,117390755,103261510,89171702,75424126,62505109,257716586,40787869,37266823,28734652,21477433,15474969,15474970,21477435,28734655,25841187,19187463,13703197,13703196,18050023,15389921,10635833,7021090,7021088,10635829,15389916,21370019,18276260,18276261,18048585,18048584,24468580,24750035,24750036,31886819,37266815,28734638,28734639,24750031,18276244,18276242,21370032,21335358,15361963,15361962,21335356,24367827,255209253,8654744,5629524,3498076,2078743,1194908,1194907,2078742,3498074,5629519,8654733,12736190,12736229,12972738,8830268,5753895,5753896,8830270,7050549,7050548,10674505,10635413 Dl.O(d2) = 3608808,2209120,1282626,1282623,2209155,3690033,254199838,25197276,25327870,25327871,33056490,41999890,40503487,31808131,28611793,21376370,21376371,28611795,37122530,37454463,28915202,28915204,37454467,37845835,33056728,33056731,36827289,46709507,36827251,36827250,40501073,31805915,256556391,50536228,62027829,258919835,102461683,116560767,130400750,143726702,143726700,143726694,130400746,130400748,143726693,143726692,263267515,178280037,263650433,202361522,206320986,200259113,273527919,263093367,164346243,152477500,152477501,164346245,261647445,126379358,112507986,112507985,98512776,84587645,71023423,58307848,58307847,71023422,84587643,98512769,84587638,84587639,98512770,112507983,126379354,139755523,152477496,150491841,137456783,131193865,117390755,103261510,89171702,75424126,62505109,257716586,40787869,37266823,28734652,21477433,15474969,15474970,21477435,28734655,25841187,19187463,13703197,13703196,18050023,15389921,10635833,7021090,7021088,10635829,15389916,21370019,18276260,18276261,18048585,18048584,24468580,24750035,24750036,31886819,37266815,28734638,28734639,24750031,18276244,18276242,21370032,21335358,15361963,15361962,21335356,24367827,255209253,8654744,5629524,3498076,2078743,1194908,1194907,2078742,3498074,5629519,8654733,12736190,12736229,12972738,8830268,5753895,5753896,8830270,7050549,7050548,10674505,10635413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9113303, s2 = 14061583, dlinesl.size( ) = 2 s1 = 9113303, s2 = 14061583, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9113303, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 9422325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6961593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350444, s2 = 2140706, int(edited[s2]) = 0 s1 = 10350444, s2 = 2140706, d1 = 114, d2 = 109 Dl.O(d1) = 270353163,256468679,16922718,255334359,9962104,256226067,37811139,33852043,32177674,24591330,24591331,29246426,21926248,21926250,29246431,33455746,33455745,38075061,32162828,24577677,24577676,31762882,28856334,28856335,37397164,28856332,21583398,15559151,10762009,7110752,7110753,255043287,13607103,13607104,19060509,25683929,33455728,28948190,25656629,19038130,254931903,9305264,13589955,19038138,25656636,20019014,14338038,9850171,9850172,14338043,10818195,10818194,10818253,10818254,15010410,10762083,7110787,4477161,4477158,7110780,10762064,10817997,258077401,259544885,74825239,62028603 Dl.O(d2) = 58294210,71009162,257831916,25305995,255315906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350444, s2 = 2140706, dlinesl.size( ) = 78 s1 = 6869323, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9468730, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14164968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164968, s2 = 10343736, int(edited[s2]) = 0 s1 = 14164968, s2 = 10343736, d1 = 6, d2 = 6 Dl.O(d1) = 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Dl.O(d2) = 2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415571,2415567,3818333,6102593,9315978,13604867,19057411,25679907,33451160,42444202,46615987,54662918,57619759,46275337,36422689,33131814,25394293,25394295,33131817,36422660,36422661,46275314,53839870,46275297,36422648,27964283,27964284,36422650,33451157,33451156,42444195,38691809,36728305,36728306,46616023,57991872,57991871,57842621,46486427,36619940,28146076,28146075,36619936,46486413,51861670,51861671,63656843,76749052,72735652,59998660,48607252,38691806,38691805,48607248,59998652,62541783,62541784,75464995,84978402,84978401,88131632,88131631,83540011,70008284,57358273,46077389,36283898,36283899,45648669,56814019,56801786,257966787,258005872,42847335,257833449,57023621,57023620,45809792,36090715,27737896,256258183,45809785,57023630,68892104,69813517,57174876,45926492,42346917,33361746,33361745,42346904,52740355,48620882,38706153,38706156,35530344,27370914,20411252,14648498,10076298,6618590,4164022,4164020,6611542,6611543,4182507,2500989,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499877,1442555,1442560,2499938,4181690,6676026,10161425,14775055,255772925,35975544,257361057,56738260,45591435,35938317,35938316,36201302,45964836,57220280,56266127,45235162,45235161,56266123,68602410,68602409,259804551,95539508,83449777,69909486,68889244,56377631,45319289,45319288,257351949,35781745,27535631,20518491,20518488,27535599,35779356,27534274,27534275,35779364,45362781,46009700,46009699,56381174,45321974,45321973,36810404,28313815,256062886,24593293,32179962,32556902,40011881,268459220,33349092,33349091,28240325,28240324,24615420,18165751,12882826,12882825,14708286,268136122,35732018,42992461,42992458,53467612,62084312,62084314,56054337,45069677,45069674,45513539,35882066,27600582,20561694,20561697,27600598,27728125,27662264,27662262,35856126,27582784,20549867,20549863,27582768,27590869,20607358,14865842,14865839,14667681,10234255,10234253,10076600,6618695,4164048,4164044,6611545,6611543,4182507,2500989,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467386,35122333,27558965,27558962,35818258,36090324,36090321,45809286,57023096,59252199,47855790,47855787,59252184,71989135,85575928,97105677,83179382,83179383,82061544,82061543,69164244,69164246,82242755,68928535,68928534,257379819,36373444,36373443,46201806,57515056,65856640,53791504,53791503,65856637,67432203,56847409,56847410,69431385,69431384,82014249,68489847,56030202,56030201,56980352,56980351,69543803,56943620,45748124,36046627,27708075,27708077,36046633,45748137,56943645,53794215,43271803,43271804,53794218,65860233,270594441,82644174,259076104,78341098,65062300,65062303,56740836,45593529,45593530,56740841,53704818,43193166,34107415,26243883,19526716,19526713,26243850,27691527,27870193,27642048,20605948,20566181,20566177,16540586,11527931,7668649,7668651,11527874,14645862,10074597,6665020,6665016,10075677,6682676,4195467,2509491,2509490,4195412,2509905,1447412,1447408,2509939,4196277,6696259,10190176,14817084,20664126,27756695,36117811,45847963,45850158,36225493,36225491,45999550,57264550,69910162,83450319,96697091,82726468,82726467,259120214,69570203,65719438,53664433,43155139,34072623,34072621,43155134,43155060,43155061,36358189,36180695,35535671,27375567,20461149,20370905,14620506,14620505,10077868,6619253,6619254,6648244,6679437,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443013,2501017,1443260,1443255,2495668,1440666,1440661,2495694,1449091,1449088,2513570,4202810,6707300,10207575,14842725,20703172,27816329,36205514,45970213,57226472,56225459,45203592,268681005,23878595,17533451,17533450,23878591,31374254,40055656,45704874,257671761,258592945,56889232,45704255,36014621,36014620,45704249,40278325,31594023,31594024,40278331,50298758,61778241,61778366,50298930,50298748,40278320,40278319,40278491,40278490,50298927,49988326,45557194,45557195,49988331,49988330,53219110,53219111,57460497,70121231,74561732,61778321,50298861,40278416,31594092,24090692,24090693,24090699,24090698,31594107,40278439,46157317,40278442,31594110,27994661,20830401,20830396,20830395,27909132,27909131,36340982,46157333,46814078,36935812,36935809,28495027,21277843,15315736,10578084,10578083,255393569,28495014,256005732,52325323,41984711,41984710,52325319,58181967,46815075,46815076,58181969,58238819,46871180,46871181,49203258,256474211,23263037,16999610,16999611,21212294,18825266,18304484,18304482,24786494,28495058,21277862,21277863,18304472,18304471,24786471,32411400,32411404,24786475,24786476,32411408,41236520,51434830,41236547,32411432,24786500,24786501,28781047,28781048,37316764,47225579,41984717,33040836,33040835,41984714,43874305,43874306,54616709,46871178,46871179,58238814,46871183,36992497,36992474,28495018,21277839,21277840,28495022,36992480,46871167,58238801,58238799,46871163,46871164,48793033,48793034,60189796,71356029,58833549,47447463,47447464,38870717,30284802,30284801,38870714,48793081,54596803,43852635,34580989,26593718,19788376,19788375,26593717,34580987,43852638,54597028,66855742,78411750,66855737,54597025,54597024,60189781,54596829,43852443,43852444,54596826,54596799,54596798,54596868,54596867,54597135,54596993,54596991,66855675,54596939,54596940,66855679,66855783,54597119,43852766,34581076,34580870,26593647,19788335,14174054,14174055,19788339,26593652,34580877,34580883,43852482,54596872,66855631,67560547,67560549,58181094,58181093,70894972,84451727,80285174,66855613,65130143,65130142,78411748,80285157,80285233,66855720,54597003,43852618,34580972,26593707,26593708,26907381,20023843,14341815,14341814,20023841,26907375,34987981,44365966,50506648,61998154,74794538,78411742,66855615,257508420,43852465,53145230,61998150,50506640,40471196,40471197,50506643,54596915,43852606,43852608,54596987,61998174,61998115,61998116,257683732,66855604,54596849,53017447,42577271,42577272,53017451,54596813,43852450,43852451,54596837,46939571,46939572,44365962,44365961,43852438,43852437,34581004,34581005,43852667,46515541,57871525,47982823,38070705,38070706,47982828,46515518,36648241,28172656,28172655,36648238,46515513,37060871,28559842,28559841,25857912,19200650,19200651,25771186,20991695,15078104,15078105,20991698,26907377,26907378,34987983,269172649,54596989,49042613,49042611,53145222,65130130,70387748,57871534,57871535,58305833,46939648,37060923,28559877,21333705,21333704,28559873,37060916,46939640,47982879,59372861,72105379,72970761,60233558,50506664,40471213,40471214,50506666,50541365,62032948,62032949,50541369,50541368,60233559,72970763,84585157,84585158,88426651,74794547,61998167,61998168,257415874,62032946,50541362,40506011,40471223,40471222,43852669,46939548,40506019,31810469,24295307,24295308,31776471,40471182,49378097,60779293,60262771,58381764,58381760,47010652,37123674,37123673,47010647,58381751,61983008,61983009,73192767,61998120,50506613,50506612,40471180,31776470,31776469,40471176,46515528,57871508,70572953,60262758,60262757,72998222,86595893,86595892,84585131,71021024,58305764,58305765,71021025,72997160,86594853,87865080,80363017,66937467,66937468,58305747,58305748,60779289,73527324,71098283,71098284,71098273,58381749,47010645,47010644,58381745,71098269,84661109,82142639,68617014,60261608,60261609,72997194,72997255,71020983,58305708,58305709,50491094,50491095,61983047,60261539,48868624,48868623,48870020,60262775,65183818,53198896,53198897,65183821,72998215,84585044,71020935,58305663,58305662,60261569,60261567,72997163,86594856,78467824,65183824,65183823,66937460,270634787,86594869,72997210,60261632,48868728,48868727,60261629,72997207,86594884,98510090,98510091,99492262,86594900,72997230,60261644,60261645,258650686,257415894,29607128,29607129,256936791,42750084,33720916,33720915,42750082,42750086,33720922,25914190,25914189,33720921,30362969,22961507,16725431,16725432,22961511,30362973,30362941,22961489,22961488,30362938,38948987,48868656,55441185,67784372,71542509,71542510,85114141,72327788,66937432,66937431,72997235,60261651,48868743,48868742,58305669,46939479,268418568,60261508,48868649,257577597,72997154,71957523,59219107,47820841,268629421,29330461,37898983,47820846,59219103,48868663,38948999,38948998,30362985,22961517,16725436,11683213,7790713,4939559,4939560,7790717,11683221,16725423,22961493,30362922,30362921,26591765,26591767,34579025,37741901,37741902,47663822,47405250,47405251,257325782,30515772,30515773,25813053,256154403,42638143,53086575,59219100,60446369,49042672,39112994,39112995,49042632,39112956,30515737,30515738,30515780,23099808,23099809,30515781,30515784,30515785,30215484,30215483,30515717,30515716,39112941,46973481,37898977,37898979,43850809,43850807,54595260,257325784,37741930,29181097,21870301,15796258,10944601,10944600,15796255,21870296,29181087,37090636,28584951,28584952,37090639,30515787,29607140,22256861,16117662,11195827,7428620,7428619,11195826,13684935,9371711,9371712,13684937,19164291,25813057,26599066,19792923,19792924,26599068,23099788,16843515,16843514,23099786,23099800,30515768,37741915,30554321,29181081,29181082,37741904,42515264,33515329,25735893,19103077,13639118,13639117,19103072,25735889,33515321,38173956,34583230,26596078,19790457,19790456,23099794,30515731,23099776,16843506,16843505,23099773,30515727,28584958,21354585,21354586,28584962,255085198,22256848,22256849,23084048,16831247,11770027,11770026,16831244,23084044,30497429,39093367,49022377,60425992,73172826,258404190,114818232,100900334,86919943,73309768,60566585,49167297,268659979,23222244,23222245,30644733,39241391,49167299,60566588,73309771,86919948,100900338,114952935,128853373,142211152,154846930,166551436,177128506,177128505,186478835,178297147,167864749,156279908,143754927,130428461,116586844,102485483,88479233,74843614,62045284,50552560,256557443,255597061,17919679,24303260,31819598,24303265,24303264,31819604,40516290,50552576,62045298,74843629,67755088,67755089,81221378,88479205,88479206,88479176,74843571,67730966,62045258,50552539,40516259,31819578,24303242,17919665,17919666,24303233,24303232,17919663,12696364,12696363,17919661,17919683,12696379,12696378,17919680,24303261,31819600,40516287,50552567,50552556,40516276,31819591,24303256,17919677,17919678,24303258,31819592,40516278,40149048,31465416,31465415,40149047,50174662,55210720,44359891,34982298,34982297,40149142,31465494,23969856,17620414,12438813,12438815,17620418,23969864,31465508,40149154,40149040,40149041,38380638,29808670,29808669,31465413,23969872,23969871,31465457,23969830,17620401,12438807,8407337,8407338,12438808,17620403,23969833,31465463,39992954,39992955,39992947,31316135,31316136,35080632,35080631,44455648,44455568,35080592,268175132,20104749,26995698,35080591,44455594,55300151,270136737,271169381,258874577,61423698,49945817,39928282,39928281,49945814,61423693,74202316,87805736,95084061,81025074,67555273,67555275,73244708,60497772,49094274,39164310,254994942,23149238,30566602,39164306,256266226,73244698,86857585,100838546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164968, s2 = 10343736, dlinesl.size( ) = 2 s1 = 14164968, s2 = 10343736, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164968, Dl.E( ) = 8, 1.81e-05 seconds used appending s1 = 13373869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8369668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14661005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13506447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13506447, s2 = 14086536, int(edited[s2]) = 0 s1 = 13506447, s2 = 14086536, d1 = 32, d2 = 51 Dl.O(d1) = 62107931,50609025,50609026 Dl.O(d2) = 61485610,74262839,256669990,257819440,144729095,157128391,168573615,178872752,187964807,195891228,202677703,208379271,204025189,197505780,189849009,180969436,170848688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13506447, s2 = 14086536, dlinesl.size( ) = 2 s1 = 13506447, s2 = 14086536, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13506447, Dl.E( ) = 52, 2.19e-05 seconds used appending s1 = 1966803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1966803, s2 = 15241124, int(edited[s2]) = 0 s1 = 1966803, s2 = 15241124, d1 = 3, d2 = 32 Dl.O(d1) = 50618090 Dl.O(d2) = 255209395,12738204,268266807,268695351,50672976,50672980,50672979,62189941,75009484,258305599,50672984,40616707,257112621,62189942,258305599,62189939,50672980,40616705,31903428,24372586,17974820,268266807,268695351,50672976,50672980,40616705,31903428,31903429,40616706,50672981,50672983,258305597,62189941,75009484,258305599,50672984,40616707,256055259,17974820,268266807,31903427,40616703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1966803, s2 = 15241124, dlinesl.size( ) = 8 s1 = 8206467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695454, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9702928, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1968952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656998, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 987635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2323167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13368955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13197323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7566360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7566360, s2 = 1970426, int(edited[s2]) = 0 s1 = 7566360, s2 = 1970426, d1 = 76, d2 = 57 Dl.O(d1) = 268097574 Dl.O(d2) = 50886696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7566360, s2 = 1970426, dlinesl.size( ) = 8 s1 = 6801546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351558, s2 = 10352316, int(edited[s2]) = 0 s1 = 10351558, s2 = 10352316, d1 = 9, d2 = 2 Dl.O(d1) = 254884097,255605587,32013135,269022869 Dl.O(d2) = 59592905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351558, s2 = 10352316, dlinesl.size( ) = 20 s1 = 11655534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655534, s2 = 14164227, int(edited[s2]) = 0 s1 = 11655534, s2 = 14164227, d1 = 7, d2 = 4 Dl.O(d1) = 40780819,40780820,50897102,62496923,257284310,117383662,260374683,66852835,66852834,80282645,80282650,80282651,75415790,62496920,62496921,75415793,89163551,255312588,62496791,50896951,254962138,62496782,62496780,50896971,40780687,32024480,32024479,32024468,24462757,18043659,18043660,18043662,24462760,32024474,40780673,50896953,50896952,62496793,50896970,40780685,40780686,50896966,62496804,50896967,50896968,52644070,64543226,77725229,91652902,91652903,103253811,103253810,117383559,269001844,117383557,256720570,91652872,77725201,77725202,91652874,88174031,88174032,91652876,77725203,77725204,74559130,61775545,50295963,50295962,50295961,40275137,40275138,40275135,267773048,24085504,31589682,33278805,33278804,31589684,31589683,28688477,21438064,15443073,10676680,10676681,15443075,21438068,28688467,21438056,21438055,28688465,30827698,23399922,17127856,12037077,8092434,5184649,3163123,3163124,5184654,8092445,12037099,13230109,13230107,12951237,8812369,5740723,5740721,8812338,8812336,6034982,6034981,8824828,5749950,5749951,8824830,12965732,18269369,24742427,32358742,41174564,51360764,63042067,63042050,51360754,41174560,41174561,46811014,58178412,70892642,270314159,71920128,259353161,71920140,59181920,59181921,71920142,270832489,260571461,127307806,127307754,113448868,113448867,127307753 Dl.O(d2) = 134989194,121180504,106913742,92595197,92595196,106913741,121180502,106913750,92595202,258449089,53267778,53267779,65257527,78547734,92595205,106913754,121180522,134989220,131845374,131845373,118019369,259702012,145103639,152901932,140211817,126865369,126865370,126865378,113013608,109348037,109348036,109348024,109348023,123539675,137270767,150311711,261621910,150311710,137270796,126865377,113013607,113013606,100243919,86279462,270854953,99025753,85101147,71529921,58801023,58801020,47414099,47414100,58801022,58801017,47414097,47414098,58801015,47414094,257467919,58801016,70892635,70892634,65257530,53267782,258449091,65257519,257239703,33782181,256681993,53267779,65257526,78547727,78547726,92595187,92595190,78547721,78547720,92595189,92595195,259706995,106913739,92595194,78547723,78547722,92595191,106913733,121180490,134989182,148111531,143706044,130380204,130380205,122195732,107790262,93367875,79239839,79239838,79239843,79239833,79239832,65875363,53807245,269074898,53807243,65875359,57799540,46444343,36579239,36579238,46444341,57799534,50523237,50523236,62015001,74811362,88443778,102445477,115814988,101769338,101769339,115814990,127690140,130216702,116381813,259506606,113891041,113891040,122195733,107790263,93367877,79239845,65875364,65875365,67625273,55287369,55287371,67625275,79239842,79239840,79239841,79239837,65875357,65875356,79239835,93367873,107790257,116542216,102445469,102445470,102445474,88443777,88443778,102445477,115814988,101769338,101769339,115814990,127690140,130216702,116381813,259506606,113891041,113891040,122195733,107790263,93367877,79239845,269467912,257741352,74193724,61415064,61415065,61415068,74193728,87797102,101769345,115814998,122195731,260863168,143044579,155594652,167226291,177723863,176167155,165487224,153706972,141039453,127690169,113821526,99807246,99807245,113821523,99807244,85854567,74700829,61907281,50416876,40382481,31688823,31688822,38231550,29665319,24180165,17811809,12610029,8558701,8558702,11235433,7456517,7456518,11235434,8558405,5555265,5555266,3471298,3471297,5594706,5534615,5534616,8536629,12584064,17780998,17825387,24194596,255284722,25544341,29127570,29127571,256189348,21632067,15600958,10792606,255415693,28906209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655534, s2 = 14164227, dlinesl.size( ) = 2 s1 = 11655534, s2 = 14164227, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11655534, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6791909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7966863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7966863, s2 = 7013856, int(edited[s2]) = 0 s1 = 7966863, s2 = 7013856, d1 = 7, d2 = 11 Dl.O(d1) = 8323877,8323878,12323065,17478323,21283824,15320316,15320315,21283821,28502009,28501908,21283736,270286618,15320437,10581693,6980636,4386105,4386106,5565252,5565253,8506005,5506420,5506419,5509173,254276873,2003110,3397696,3040034,3040035,5022326,267914201,254610351,2018779,1155000,1155002,2018784,2002584,1144726,642116,356372,356373,642118,1144732,2002591,3396999,5508440,3438140,2034002,2034001,3438137,5495772,5495773,8494565,8496457,6423502,4029868,4029869,6423505,5528743,3414651,2043989,2043988,1171769,1171773,2003394,1145230,642433,642435,1145239,645609,645607,646260,646261,1152023,1150693,1150690,1150873,1150871,2012366,3410369,2035106,2035105,3384063,1994782,1139958,1139957,1397865,2414882,4029854,3408420,3408421,5521769,5534691,254611871,5546285,8547909,8498510,5500044,5500046,3448136,3448135,5494693,3384798,1993556,1993554,3382936,1992236,1138456,1138451,254275513,3470890,3383010,1992284,1165154,653905,254280649,5554118,7377554,4660834,4660835,7377556,11122871,16019760,22136016,29472144,38034865,40637578,255600976,17989250,17932777,17932776,24319700,255283580,24319705,17932781,255598281,31686784,24506297,18200941,12909946,12909945,18200939,19143596,19143597,24472340,18052021,18052020,24472338,256570611,50909191 Dl.O(d2) = 117393704,261351343,156836952,168305323,178640925,187774404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7966863, s2 = 7013856, dlinesl.size( ) = 2 s1 = 7966863, s2 = 7013856, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 7966863, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 1986078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1703406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2325172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2325172, s2 = 1789430, int(edited[s2]) = 0 s1 = 2325172, s2 = 1789430, d1 = 9, d2 = 18 Dl.O(d1) = 62533779 Dl.O(d2) = 58417168,47042528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2325172, s2 = 1789430, dlinesl.size( ) = 2 s1 = 2325172, s2 = 1789430, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2325172, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 2662575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8219570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8219570, s2 = 14861257, int(edited[s2]) = 0 s1 = 8219570, s2 = 14861257, d1 = 3, d2 = 0 Dl.O(d1) = 72565876,59830398,59830399,72565878,86164113,77332017,258032366,64184810,256305138,28496496,21279136,21279135,23278733,30693774,30874593,23444903,23444901,30874586,31725793,24219127,17848845,17848846,24219119,31725781,40417600,50452095,258290917,88367167,95194233,89280203,75525729,62591159,50972623 Dl.O(d2) = 268703713,24499430,18071922,12811931,12811932,18071924,24499433,31818737,255607702,13075215,13075214,18408079,24913866,32566200,41426397,269336339,22152943,22152942,18517774,13157085,8967913,8967914,6428057,6428058,4636244,4636245,7339927,7348735,7348734,255073467,15959220,15959221,22063757,16001595,11108967,11108969,8505558,5505975,3394706,2000872,2000873,3394710,5505979,8505566,12546301,17109959,12023624,11070198,7340368,4636505,4636504,7340367,11070196,15951714,22055395,29385361,28316264,21106158,15936335,254762105,254762103,255881773,22042505,255263533,9203776,9203775,11061403,11061405,11059281,7333101,7333102,11059283,14917787,10257963,6740757,6740758,10257967,14917793,15937246,15937247,255071997,11069358,11082910,11082909,15967499,22072559,22043579,15940699,11061465,7334427,254762321,4633119,267789561,920934,519282,291172,291170,519273,920903,1619108,2790944,4632935,7334091,11060918,15939913,22042731,256377645,256364836,29622344,22271052,22271053,16250385,16250386,22415271,29780578,33239829,42200794,47448217,37540148,37540147,42266711,33286766,26226557,26226558,34087578,28456891,21230708,15260899,10529193,6944108,4363944,4363947,6364316,6364317,6364283,6364157,3993164,3993165,6364162,9676615,14070651,12058387,12058388,15296224,10560807,6965495,6063335,3793641,3793638,6063322,4367313,2616822,1510986,856839,483881,272247,272246,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253680,13522101,18955110,13518592,13518591,18955108,18961119,13525227,9256364,9256367,11275329,10557629,9661703,9661704,9252600,6059799,6059797,6065261,6065262,3794916,2274619,2274622,3797536,4377817,4377820,6968407,10565041,15300683,17566986,254405088,30861257,28456889,21697266,15657294,10838202,8257713,267843469,3274481,5327294,8257721,12230229,255427045,11334520,10892639,7203617,7203619,4540007,4540008,7206052,9113143,5962700,5962701,9113145,9891974,9891975,14386476,20070148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8219570, s2 = 14861257, dlinesl.size( ) = 2 s1 = 8219570, s2 = 14861257, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8219570, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 9689211, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7985871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2327047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1974407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1618321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14349539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14349539, s2 = 14334971, int(edited[s2]) = 0 s1 = 14349539, s2 = 14334971, d1 = 60, d2 = 43 Dl.O(d1) = 86821043,100802348,258690394,84260376,70709160,57992401,258020145,57992402,57992403,60461279,49057589,255040566,23111191,16852612,16852613,23111192,23112680,16854858,11787978,11787979,11786412,254172922,15114590,16792484,11741298,11741299,16792485,21042462,21042461,21042601,15114693,15114692,16854488,11787664,11776710,11776711,11776712,11776714,16840464,255131218,38403641,38403642,48314355,38403648,29831465,22463935,16295582,11337853,11337852,16295578,22463927,29831450,38403621,48314339,43919350,34646313,26655143,19841401 Dl.O(d2) = 256067726,40911118,32133364,24552403,255218198,12845532,18115612,18115603,18115602,24552394,254196836,13246209,254091440,3687937,2207792,2207794,3486055,2070196,2070195,1345502,1345503,2320919,3875617,6192481,9445977,13777908,18631341,254288012,254625568,32903485,33185369,254888128,18843775,13425711,9179309,9179310,13425714,18843781,21402110,16832498,11771059,7858861,7858860,11771057,16832491,23085524,25440273,18843863,13425781,13425782,18843885,24149729,24149731,30498857,33185331,25440101,25440100,256642769,269510014,25553140,25553138,25553137,33314912,37325409,28789152,21525144,15512979,15512978,21525142,16836538,16836537,23091069,30505657,30523370,30523369,30523372,25533974,23091067,16847848,16847847,11782137,11782135,16847874,23105837,30523399,29473237,29473236,28907681,28907682,37446795,47353332,58740931,52663765,42276436,42276435,38036076,38036077,47949651,49031379,42811815,33779172,33779173,39121602,39121603,46981784,37098088,35251889,31683412,24175165,17807272,255587529,31683409,256968617,40376918,31683417,30027101,22653733,22653734,16461654,16461656,22653777,16461543,16461542,22653774,22653786,30027141,22653771,16461539,16461538,22653766,22653872,30027262,38600189,38600225,48514837,38600185,30027254,22653866,16461596,16461595,22653865,30027251,38600179,38600024,268266978,16461516,16461517,22653739,16461619,11469810,7629267,7629266,11469806,16461618,16461592,16461593,22653862,30027243,30027395,22653969,22653968,30027393,38600211,30027280,30027279,30027327,22653920,16461625,11469812,7629268,7629269,11469817,16461631,22653929,30027309,254881706,38600266,30027328,30027329,38111007,254195580,31911302,31911301,255209788,48514843,48514881,48514882,40048744,31368295,31368296,40048745,35252006,27153252,27153254,254881722,30456694,30456693,31601405,31601406,40286392,50307757,59908076,49119701,39191594,39191593,35268186,35268187,44661624,44760181,44760180,55670373,68069732,61619081,50137527,48514761,38600082,38600083,48514764,50307743,254881702,29547793,254285956,11162200,11162201,16074408,22204181,29547802,38111019,267917874,254881692,41993240,255965102,27164220,20249820,14530521,9998253,255339297,27164223,35268195,44661630,48021016,38110987,32903375,32903374,30594248,23175455,16911151,11835044,254424600,3043617,1772511,1772510,3043615,5028000,7909474,11835039,16911143,12820056,8716357,8716358,12820060,10674222,7050345,5370628,3301590,3301591,5370630,8323138,12322241,17477366,21340547,24770258,32392683,26604985,19798272,14181314,9749014,9749013,14181312,19798267,268224030,13449150,255262853,12983062,12983063,255625561,18873494,13449024,9196978,6021168,6021167,9196974,13449018,9196982,9196983,13449032,254922801,9196966,9197011,9197096,9197095,8837901,5759255,3586789,2138068,2138067,2256900,3766846,6021276,9197084,254922823,6021353,6021351,9197159,6021359,3766902,2256939,2256929,2256930,267779479,747724,1309848,1309909,267749123,424883,424882,254147233,2256936,3766896,6021348,254651007,6021431,3766965,3766966,6021448,6021549,3767036,3767032,6021543,9197400,13449498,13449471,13449470,9197456,6021608,6021609,9197459,13449563,18874213,16913238,16913237,255966907,18874185,18874186,18874112,255665907,30597071,23178016,16913247,11836645,11836646,16913252,18873500,18874117,25475547,23177995,16913233,11836639,11836640,16913236,18874008,13449394,13449395,13449180,9197145,9197144,13449176,18873637,25474805,23177983,16913224,11836635,11836634,16913221,18874060,13449520,9197427,6021576,3767059,3767060,6021579,9197433,13449532,268015260,30597062,25475557,25475458,18874058,18874059,25475461,268611100,40786623,50903290,49181270,39255619,39255620,49181272,60580847,49181135,39255495,39255496,49181138,39255524,30659604,23240312,16970838,16970839,23240314,23240352,30659661,39255593,49181154,41686588,32770209,25073256,18530618,13166117,13166116,18530612,25073249,23240355,23240356,30659669,39255601,268953634,49181208,39255563,30659637,23240337,23240336,30659635,39255561,39255476,30659575,30659574,39255481,39255502,39255501,39255510,39255545,30659621,23240325,23240326,30659622,255104872,254360948,28415048,21193271,15229829,10505815,10505814,15229826,21193263,254360946,49065384,49065383,58157681,49181120,39255473,267979334,30116718,38692891,39449629,49181211,52569676,49181232,49181230,49181160,49181159,60580859,70871647,58157668,46790299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14349539, s2 = 14334971, dlinesl.size( ) = 30 s1 = 2329265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2329265, s2 = 11002999, int(edited[s2]) = 0 s1 = 2329265, s2 = 11002999, d1 = 17, d2 = 71 Dl.O(d1) = 62696154 Dl.O(d2) = 6811307,6811306,10345699,15017757,10397908,6854216,6854217,9061263,9061261,13276534,254731222,7002706,7002705,7004417,4402693,4402692,7004415,10614470,15363042,21336635,28025204,36487368,46344514,257998687,270506310,46344520,46344519,57693053,70386859,258101590,101618639,115659367,111693766,97772099,258440584,257388119,46344512,57693049,70386855,83913333,70872315,58158307,58158308,70386856,258622817,83913337,269527752,36487371,28025205,20858119,20858120,28025207,36487373,46344522,257998689,77449497,85506722,87709198,258440598,97772097,83913331,77859656,65766093,65766094,58158316,256843759,36913361,46790925,58158310,70872318,77859674,64669812,255690200,33366641,33366640,42355427,33366639,255283730,52754837,64669808,269099086,91782170,91782174,77859668,77859667,81040470,70872337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2329265, s2 = 11002999, dlinesl.size( ) = 2 s1 = 2329265, s2 = 11002999, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2329265, Dl.E( ) = 86, 3.1e-05 seconds used appending s1 = 9203242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9203242, s2 = 16169882, int(edited[s2]) = 0 s1 = 9203242, s2 = 16169882, d1 = 15, d2 = 19 Dl.O(d1) = 10263407,6744186,6744187,10263409,14925554,20823579,19650321,19650322,25682081,19059029,19059028,25682077,26388006,19653615,14087298,9689649,6373549,3999314,3999316,6373550,9689651,14087302,19653630,26388017,22703038,16499393,16499394,268093200,9691637,14087316,14087317,16914002,23178874,23178838,23178840,23390285,18338459,13017895,8863339,5777541,5777539,4647433,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672637,4448535,7065417,10694610,15466713,17123493,17123741,21468271,22782575,16566961,14277964,12031405,8088454,8088452,12031398,17120732,23392577,23179203,23179204,30598147,39195035,49122646,60523717,73268656,76454751,63410936,51667648,41425560,32565408,24913190,18407563,18407562,24913189,31730602,257098773,50461786,59929024,48535559,38620503,30046747,22671414,16475468,255487299,30046744,256970213,48535566,38620506,30046751,22671415,16475470,11479253,7634926,4830160,4830161,7634927,11479255,16475474,22671421,30046755,38620512,48535574,59929035,72669113,259409019 Dl.O(d2) = 28161723,28161722,28697700,255799077,15069875,10393192,6850397,4298821,2570152,1479706,836375,471296,471295,471301,471330,264794,146553,80540,44104,24508,267735389,24515,24517,44117,80568,146612,264913,471000,835760,1478426,267822267,2224335,1290599,736703,736701,418794,418799,736745,1290678,2225179,3715974,5941683,6793705,4281194,4281193,6824357,254439171,3709509,4290940,3709541,2565432,2223951,1332920,1332919,2297198,3834317,6128499,9356179,10291634,6765685,6765681,10291626,14958523,20860024,28027369,31113860,23627239,17311280,17311281,23627240,31113861,256191120,28462660,255309820,29249359,21928848,15842163,10978323,7266434,4582459,4582458,7266432,10978320,15842160,16648210,22876469,27959430,20797800,14904782,10248063,6733385,4218596,2522177,1453434,822932,464773,464775,822942,1453454,2522209,2424661,1402494,1309665,1309666,2256584,3766329,6020507,254068874,6022037,3767371,2257221,2257220,3766332,3766333,6020512,4054610,2426881,2426880,4054607,6470347,5948322,5875808,5875809,9000022,6022216,3767493,2257299,267735300,4218520,254071498,9196157,9198260,254071454,267735344,6592202,4129980,2470535,1427998,1427999,2230515,2230516,3725419,267749032,4216873,3768357,3768358,5957062,3725417,2230514,2230513,3725411,5957054,9104092,5998358,3751229,3751228,5998357,6592332,4130068,2470599,1428035,812288,460284,460283,812286,1428031,2470591,254476275,10030732,255342857,20312313,27243259,35366691,44791029,55698365,68095757,81585565,74498156,61716729,50237748,40217572,31531761,24029665,24029664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9203242, s2 = 16169882, dlinesl.size( ) = 2 s1 = 9203242, s2 = 16169882, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9203242, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 8042809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6417610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6417610, s2 = 6370219, int(edited[s2]) = 0 s1 = 6417610, s2 = 6370219, d1 = 159, d2 = 226 Dl.O(d1) = 254075435,57208,104042,190533,254105973,1114357,1950655,3316035,5392735,8354952,10616792,7006178,7006176,10616783,12869047,18148299,24594592,256581511 Dl.O(d2) = 247141095,247099240,247052327,247001023,246946428,246888856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6417610, s2 = 6370219, dlinesl.size( ) = 104 s1 = 14164038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2330982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657212, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2669749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2669749, s2 = 13428330, int(edited[s2]) = 0 s1 = 2669749, s2 = 13428330, d1 = 24, d2 = 23 Dl.O(d1) = 75814633,62851129,51201739,51201740 Dl.O(d2) = 46881237,58248465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2669749, s2 = 13428330, dlinesl.size( ) = 2 s1 = 2669749, s2 = 13428330, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2669749, Dl.E( ) = 48, 3.39e-05 seconds used appending s1 = 9381686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9381686, s2 = 4522413, int(edited[s2]) = 0 s1 = 9381686, s2 = 4522413, d1 = 33, d2 = 18 Dl.O(d1) = 255613254,12750327,8665693 Dl.O(d2) = 179072064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9381686, s2 = 4522413, dlinesl.size( ) = 2 s1 = 9381686, s2 = 4522413, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9381686, Dl.E( ) = 42, 2.31e-05 seconds used appending s1 = 9454845, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2131273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9398083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9398083, s2 = 14164435, int(edited[s2]) = 0 s1 = 9398083, s2 = 14164435, d1 = 1, d2 = 1 Dl.O(d1) = 2992381,4956729,7802759,7802762,7802844,7802843,11698682,12797045,13244671,13244672,18629403,25190072,21368506,21368505,21368507,28601858,37110742,40562699,31861038,31861039,40562701,50603715,62102274,74905664,84644544,74905669,255207690,254619768,77080829,90966643,105153282,119351680,133186244,134721500,120923255,106670621,259429172,256153609,25802957,33600020,35377169,31329165,23837804,23837806,31329170,26248675,19531407,13984402,13984403,19531409,22792108,30181216,38584237,48499103,257548267,72635334,72635335,270853791,114239441,114240356,100206110,86237910,72635332,72635333,86237912,86236923,72634308,59892154,59892153,72634305,86236917,100205131,114239435,128126173,141487438,154153060,165914101,154153053,141487434,141487433,154153050,261263450,128838164,114938800,100887027,100887028,114938794,100887022,86906938,86906939,100887024,114938797,114938770,114938769,128838132,127488003,113614078,260582081,100765653,86784863,73172336,60425554,49021930,49021929,60425553,73172335,72062409,59328251,47936656,47936655,59328264,72062423,85649454,99599088,100766259,86785481,86785482,89466491,75701582,75701583,89466490,75701579,62754677,62754676,258370728,76016730,89793698,103895079,114281016,100250484,86287280,72689117,72689116,64765327,64765328,77960240,91885118,259052095,64765329,258424925,64765333,64765332,64765331,62947428,51273345,51273344,41095363,32286340,24676731,24676730,32286338,41095358,51273339,62947420,75927938,77960244,77960243,91885119,258963587,62947418,51273337,51273338,41095359,41095360,51273343,62947426,75927946,75927925,62947408,51273332,51273331,62947407,75927918,62947403,51273328,41095353,32286335,32286336,41095355,51273333,62947392,75927905,75927920,75927919,89706585,103812372,103812373,117959998,117960003,117960004,127788438,141145070,153817950,153817956,147250729,141145080,127788423,113913982,259342444,85940421,99895441,113913984,113913997,105475828,91253638,77334136,64187080,52336891,41997709,41997707,33054177,25325517,18746535,13346444,9119723,9119722,13346443,18746533,25325513,33054166,31799786,28566488,28566487,21339326,15365251,10616237,10616236,15365250,16772926,23012688,21559749,15538800,10746600,7100114,4470388,254279960,10746598,7459439,7458309,4712834,4712836,7458314,11237416,12611529,15340355,21310260,28532871,37030880,46908092,58273229,48930751,39007048,39007047,39007049,268343744,60448119,60448118,60457949,60457948,64770193,52850488,52850489,64770190,64770191,77965008,65763805,53706900,43195169,34108959,34108958,43195167,44813919,35389238,27263793,20329274,20329275,24032835,17681806,17681807,24032837,24032839,31535224,40221269,48255863,38345482,29774186,29774187,255579132,26245022,26245021,26320858,34193069,34109055,34109053,40218998,50239117,61718066,65763815,53706908,53706907,59642566,48255808,38345430,38345431,48255812,48255893,38345497,38345498,47434484,47434485,48255898,48255899,59642654,72376953,59642603,48255844,38345451,29774165,29774166,38345452,256336146,22410405,22410404,29774189,38345488,48255883,59221583,257259004,48255909,59642664,72376993,72230966,72230965,63031445,63031446,59494841,59494842,72230971,65763829,65763830,72496818,72496817,71959852,59221559,59221560,59642644,59221571,47823471,47823470,37901715,37901714,47823476,49264340,49264341,49264331,39338092,30739412,256479077,49264304,49264303,60665480,59930367,48537226,48537225,59930362,72670225,86270278,100235405,114267325,126404736,128771867,131440359,117639662,103509880,103509881,114875616,114395187,100372015,100372014,259136088,73229810,60482785,49079239,49079238,60084094,49079248,39149280,30551387,30551386,39149278,37021755,28523904,21302323,21302322,22238603,22238604,29586370,30182913,30182912,38766454,48688195,60084091,72821260,70750699,58036477,46663860,36778633,28282572,21077417,15140133,10442170,10442169,15140132,21077413,28282567,36778628,46663849,58036460,258647963,98198541,98198534,98198535,84302317,74550242,61766320,61766319,74550239,70750662,58036448,46663843,36778622,36778623,46663845,58036451,46899637,37021746,37021747,46899642,58265890,70981271,84544536,72212307,59474764,59474765,72212309,84544548,70981287,70981286,72212273,70981282,70981281,72212295,59474754,59474736,48084509,38172198,268402155,22255397,29605340,38172202,48084519,59474743,49845270,47907347,47907346,59302220,49760412,49760411,50560072,40523648,31826599,31826600,40523651,50560080,257059770,44472417,55318475,67658157,66011760,66011759,72211588,59473995,48083488,48083487,44472421,44472420,50560490,40524124,40524123,47221919,256333009,28777651,37313082,37991347,37991384,47907490,59302350,269335830,47907460,269335135,59302244,47907369,37991252,29429306,29429307,37991254,47221929,47221930,58615131,71352460,59302319,256383272,255887562,22098067,22098066,29429394,37991368,47907480,58397209,71115200,70750621,59337103,59337102,71115199,58397200,58397199,48289270,38378595,38378596,33318747,25556718,25556717,33074639,33074640,42018730,47798794,37874776,37874774,47798791,59198679,60088162,72825432,86420307,86420316,100376044,86420315,72825425,72825426,259419183,98198578,84302366,70750719,58036487,258023429,84302370,98198582,112161199,259533538,86420201,72825348,60088092,60088091,72825345,86420175,72825328,60088129,48691938,48691937,60088128,72825393,72825327,72825326,86420171,73499103,60750202,49347348,48691890,38769917,30186145,22796379,22796378,30186156,38769934,48691918,59890184,72632307,72825280,60088049,48691884,38769914,30186143,30186144,38769915,48691886,48691896,60088067,49347347,39417849,30812637,30812636,39417848,49347344,60750196,60088073,58072844,46700857,46700856,58072842,70790082,70790085,84348806,98256198,112234242,114398825,113510009,100375858,257497578,72825303,60088064,60088063,72825301,77356816,77356817,86420140,72825294,72825296,72825272,72825273,86420110,100375820,113509975,113509977,114398843,114398842,128274767,259972728,113509985,102156988,88165596,88165597,84348817,70790096,58072858,46700863,36818280,36818279,46700862,58072854,70790094,84348813,258107524,85551739,85551738,257463128,84348810,70790089,58728604,58728605,71458662,84346846,84346845,98254309,84346848,84346849,98254315,112232429,126087460,115191336,259983376,101900623,259365208,101113183,115191320,115191330,109536777,95282194,81224680,67758573,55418584,44571458,256228201,27104284,35193413,37915355,256504771,31130827,39813088,39813151,39813166,31130874,23643406,23643407,31130879,39813170,49836477,49836501,39813184,31130890,23643412,23643414,31130893,23643428,17326830,12201761,8233152,5305271,3255812,1912558,1092243,1092242,254266169,5305265,8233143,255162223,23643373,31130812,31130823,39813086,49836365,49836375,39813095,31130831,23643383,23643382,31130829,39813091,39813130,31130851,31130850,39813127,258866365,74102380,74102379,74102449,257331630,49836468,49836470,61319473,61319433,49836380,49836379,49836388,49836387,61319444,74102385,87708280,101682114,115727161,115727159,115727160,113909453,101682172,87708390,74102499,74102497,87708387,100321440,112485109,112485110,98493166,84569819,71005574,60028359,60028356,72765037,86361831,89808047,89808046,98493163,86361820,258109314,72765032,86361822,86361873,73505642,255070238,39423839,30818851,30818850,39423838,47730725,37808689,29244370,21924693,21924694,256367605,47730726,38742184,257499418,48663902,38742194,30159398,22771106,16556910,16556911,22771108,30159386,38742170 Dl.O(d2) = 2992381,4956729,7802759,7802762,7802844,7802843,11698682,12797045,13244671,13244672,18629403,25190072,21368506,21368505,21368507,28601858,37110742,40562699,31861038,31861039,40562701,50603715,62102274,74905664,84644544,74905669,255207690,254619768,77080829,90966643,105153282,119351680,133186244,134721500,120923255,106670621,259429172,256153609,25802957,33600020,35377169,31329165,23837804,23837806,31329170,26248675,19531407,13984402,13984403,19531409,22792108,30181216,38584237,48499103,257548267,72635334,72635335,270853791,114239441,114240356,100206110,86237910,72635332,72635333,86237912,86236923,72634308,59892154,59892153,72634305,86236917,100205131,114239435,128126173,141487438,154153060,165914101,154153053,141487434,141487433,154153050,261263450,128838164,114938800,100887027,100887028,114938794,100887022,86906938,86906939,100887024,114938797,114938770,114938769,128838132,127488003,113614078,260582081,100765653,86784863,73172336,60425554,49021930,49021929,60425553,73172335,72062409,59328251,47936656,47936655,59328264,72062423,85649454,99599088,100766259,86785481,86785482,89466491,75701582,75701583,89466490,75701579,62754677,62754676,258370728,76016730,89793698,103895079,114281016,100250484,86287280,72689117,72689116,64765327,64765328,77960240,91885118,259052095,64765329,258424925,64765333,64765332,64765331,62947428,51273345,51273344,41095363,32286340,24676731,24676730,32286338,41095358,51273339,62947420,75927938,77960244,77960243,91885119,258963587,62947418,51273337,51273338,41095359,41095360,51273343,62947426,75927946,75927925,62947408,51273332,51273331,62947407,75927918,62947403,51273328,41095353,32286335,32286336,41095355,51273333,62947392,75927905,75927920,75927919,89706585,103812372,103812373,117959998,117960003,117960004,127788438,141145070,153817950,153817956,147250729,141145080,127788423,113913982,259342444,85940421,99895441,113913984,113913997,105475828,91253638,77334136,64187080,52336891,41997709,41997707,33054177,25325517,18746535,13346444,9119723,9119722,13346443,18746533,25325513,33054166,31799786,28566488,28566487,21339326,15365251,10616237,10616236,15365250,16772926,23012688,21559749,15538800,10746600,7100114,4470388,254279960,10746598,7459439,7458309,4712834,4712836,7458314,11237416,12611529,15340355,21310260,28532871,37030880,46908092,58273229,48930751,39007048,39007047,39007049,268343744,60448119,60448118,60457949,60457948,64770193,52850488,52850489,64770190,64770191,77965008,65763805,53706900,43195169,34108959,34108958,43195167,44813919,35389238,27263793,20329274,20329275,24032835,17681806,17681807,24032837,24032839,31535224,40221269,48255863,38345482,29774186,29774187,255579132,26245022,26245021,26320858,34193069,34109055,34109053,40218998,50239117,61718066,65763815,53706908,53706907,59642566,48255808,38345430,38345431,48255812,48255893,38345497,38345498,47434484,47434485,48255898,48255899,59642654,72376953,59642603,48255844,38345451,29774165,29774166,38345452,256336146,22410405,22410404,29774189,38345488,48255883,59221583,257259004,48255909,59642664,72376993,72230966,72230965,63031445,63031446,59494841,59494842,72230971,65763829,65763830,72496818,72496817,71959852,59221559,59221560,59642644,59221571,47823471,47823470,37901715,37901714,47823476,49264340,49264341,49264331,39338092,30739412,256479077,49264304,49264303,60665480,59930367,48537226,48537225,59930362,72670225,86270278,100235405,114267325,126404736,128771867,131440359,117639662,103509880,103509881,114875616,114395187,100372015,100372014,259136088,73229810,60482785,49079239,49079238,60084094,49079248,39149280,30551387,30551386,39149278,37021755,28523904,21302323,21302322,22238603,22238604,29586370,30182913,30182912,38766454,48688195,60084091,72821260,70750699,58036477,46663860,36778633,28282572,21077417,15140133,10442170,10442169,15140132,21077413,28282567,36778628,46663849,58036460,258647963,98198541,98198534,98198535,84302317,74550242,61766320,61766319,74550239,70750662,58036448,46663843,36778622,36778623,46663845,58036451,46899637,37021746,37021747,46899642,58265890,70981271,84544536,72212307,59474764,59474765,72212309,84544548,70981287,70981286,72212273,70981282,70981281,72212295,59474754,59474736,48084509,38172198,268402155,22255397,29605340,38172202,48084519,59474743,49845270,47907347,47907346,59302220,49760412,49760411,50560072,40523648,31826599,31826600,40523651,50560080,257059770,44472417,55318475,67658157,66011760,66011759,72211588,59473995,48083488,48083487,44472421,44472420,50560490,40524124,40524123,47221919,256333009,28777651,37313082,37991347,37991384,47907490,59302350,269335830,47907460,269335135,59302244,47907369,37991252,29429306,29429307,37991254,47221929,47221930,58615131,71352460,59302319,256383272,255887562,22098067,22098066,29429394,37991368,47907480,58397209,71115200,70750621,59337103,59337102,71115199,58397200,58397199,48289270,38378595,38378596,33318747,25556718,25556717,33074639,33074640,42018730,47798794,37874776,37874774,47798791,59198679,60088162,72825432,86420307,86420316,100376044,86420315,72825425,72825426,259419183,98198578,84302366,70750719,58036487,258023429,84302370,98198582,112161199,259533538,86420201,72825348,60088092,60088091,72825345,86420175,72825328,60088129,48691938,48691937,60088128,72825393,72825327,72825326,86420171,73499103,60750202,49347348,48691890,38769917,30186145,22796379,22796378,30186156,38769934,48691918,59890184,72632307,72825280,60088049,48691884,38769914,30186143,30186144,38769915,48691886,48691896,60088067,49347347,39417849,30812637,30812636,39417848,49347344,60750196,60088073,58072844,46700857,46700856,58072842,70790082,70790085,84348806,98256198,112234242,114398825,113510009,100375858,257497578,72825303,60088064,60088063,72825301,77356816,77356817,86420140,72825294,72825296,72825272,72825273,86420110,100375820,113509975,113509977,114398843,114398842,128274767,259972728,113509985,102156988,88165596,88165597,84348817,70790096,58072858,46700863,36818280,36818279,46700862,58072854,70790094,84348813,258107524,85551739,85551738,257463128,84348810,70790089,58728604,58728605,71458662,84346846,84346845,98254309,84346848,84346849,98254315,112232429,126087460,115191336,259983376,101900623,259365208,101113183,115191320,115191330,109536777,95282194,81224680,67758573,55418584,44571458,256228201,27104284,35193413,37915355,256504771,31130827,39813088,39813151,39813166,31130874,23643406,23643407,31130879,39813170,49836477,49836501,39813184,31130890,23643412,23643414,31130893,23643428,17326830,12201761,8233152,5305271,3255812,1912558,1092243,1092242,254266169,5305265,8233143,255162223,23643373,31130812,31130823,39813086,49836365,49836375,39813095,31130831,23643383,23643382,31130829,39813091,39813130,31130851,31130850,39813127,258866365,74102380,74102379,74102449,257331630,49836468,49836470,61319473,61319433,49836380,49836379,49836388,49836387,61319444,74102385,87708280,101682114,115727161,115727159,115727160,113909453,101682172,87708390,74102499,74102497,87708387,100321440,112485109,112485110,98493166,84569819,71005574,60028359,60028356,72765037,86361831,89808047,89808046,98493163,86361820,258109314,72765032,86361822,86361873,73505642,255070238,39423839,30818851,30818850,39423838,47730725,37808689,29244370,21924693,21924694,256367605,47730726,38742184,257499418,48663902,38742194,30159398,22771106,16556910,16556911,22771108,30159386,38742170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9398083, s2 = 14164435, dlinesl.size( ) = 2 s1 = 9398083, s2 = 14164435, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9398083, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 1981527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9348288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1982255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14245291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14245291, s2 = 14163523, int(edited[s2]) = 0 s1 = 14245291, s2 = 14163523, d1 = 29, d2 = 30 Dl.O(d1) = 46790070,269196056,28414795,21193027,15229660,15229659,21193026,28414793,34581762,36912465,36912466,46790068,58157440,70871452,65396540,53393341,53393342,53393570,42927507,33881484,26057716,19376199,13859994,9507931,9507930,13859992,19376197,26057715,33881482,258455567,65396752,259084391,107105029,260925075,148420612,143815849,130491522,116652514,102552965,102552964,102552963,88546060,74907547,62104028,62104029,74907548,88546062,102552966,104798657,90628078,88546059,76762443,76762442,90628073,260116411,102552958,88546053,74907538,62104022,62104023,62104034,74907556,75978174,62995499,51316467,41132889,41132890,32517245,24874803,24874802,32517244 Dl.O(d2) = 40950617,40950619,257487198,59103502,71842355,71842353,59103499,47705364,47705363,59103496,71842347,85428175,99369478,113369917,118540173,104353371,90197989,90197988,93478849,256365450,78431288,78431289,92467517,104353374,90197990,79311049,65946811,65946810,78881096,65546011,256907390,33985638,43043236,53521820,65546012,67634354,257114518,35076810,26992384,26992385,35076811,44451735,55296315,54653594,43910881,43910880,54653592,54653580,54653579,62626080,66910646,54653584,43910875,43910874,54653582,66910642,66910650,66910649,67634360,80337551,94392438,94392435,80337549,80337550,94392436,258930934,81100076,73591124,60841464,59344309,47953073,38039634,256381546,16022665,11124874,11124873,16022663,22139793,29476702,38039633,257505991,72078235,65210592,65210591,78498577,78498576,65210589,65210590,75815196,72208214,269338959,29599360,38166139,33974293,26135501,26135502,33974296,43031324,37159962,256863151,58425162,55390593,55390594,60482308,55390597,44543284,35165606,27077906,268550874,1418425,806898,457229,457231,806945,1418522,2095627,3522499,5663695,8701101,12797942,18052443,18052444,18052476,18052477,24472838,20181507,20181504,20180905,14481480,14479829,14479831,13184705,13184704,18555390,14478331,9961744,6547192,4101690,2453524,2453523,4101684,6547174,8987682,8987684,13184731,18555443,15411053,10652442,7033945,7033947,10652451,15411071,20179906,14478600,9962898,6547870,4102096,2453760,1418480,1418482,2453767,4102072,4102073,6547822,6548098,9963272,9962638,9962637,14479820,20181778,20182408,14481411,9963558,6548251,4102330,4102331,6548257,9963566,14481421,13786565,9452561,9452562,13786573,19285338,14480096,14480095,20179276,18486064,13133288,8950796,254903765,18486058,25015184,32697797,35170297,27081984,27079889,27079888,27080460,27080415,254666030,27077657,27077656,20183427,268176494,35169353,256162756,51900189,44432406,35057929,26975201,26975202,24114488,17753572,17753573,20262905,14538194,14538195,14538189,14538188,20262890,27080273,20262593,14538017,14538019,20184303,27082256,32697767,27185848,27185851,35305375,44548067,35170311,35170312,35059656,27185574,27185576,27082064,27082066,35054069,26972178,26972177,35054065,29512404,22171211,22171212,29512406,35053427,35053426,26972715,26972714,27076446,20179992,14478640,14478639,20179986,27076442,35163896,35058680,27082330,20184357,20184356,27082327,35059687,26976709,26976710,35059690,35060147,35060146,44429306,44429305,55275392,44433121,44433122,35059035,35059036,44433459,44434646,44434645,44428560,35053842,26971992,26971991,20088030,20088031,26975569,35058324,44432766,44429287,35054583,26972539,26972538,35054581,42120654,33164369,25422055,18829340,18829339,256125801,26972723,26972724,35054607,35054608,257193374,35058048,35054938,26972852,26972771,20086214,14401266,9905546,9905545,268174691,26972769,26971990,20085686,14400976,9905410,9905408,14400965,20085660,26971951,255586874,256102258,44429731,256616410,42402812,44429796,35055199,26973104,26973105,35055201,35061201,26978044,20089642,14403237,9906594,6511058,6511063,9906584,14401784,20087174,26974252,35056805,26976042,26976044,30686643,23269988,23269990,30686648,39283667,49210076,44431804,41832504,32907126,25195686,18633786,18633787,25195689,25195683,18633783,13248111,13248109,14538094,14538095,20262727,27186139,35305741,44431680,55277040,64715617,64715616,55277036,44431675,35057091,268826513,35057418,35057419,44431977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14245291, s2 = 14163523, dlinesl.size( ) = 28 s1 = 8027482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8027482, s2 = 7968660, int(edited[s2]) = 0 s1 = 8027482, s2 = 7968660, d1 = 64, d2 = 50 Dl.O(d1) = 254643423,3718777,3720882,5949980,9094755,13314044,18707306,22752671,16541628,16541627,256433385,259414703,272695498,51316710 Dl.O(d2) = 256599776,41987091,37541383,28996094,28996097,27248089,20315928,20315926,27248083,32955660,25235714,18666669,13274921,9059680,5923467,254295807,734907,734906,1287098,2218398,3703935,5923447,5930622,3711398,2222505,1289240,1288178,735463,735464,1288179,2220560,3707991,5930208,9069054,268139933,12325386,12325384,13315001,13315000 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2335368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8167734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1983593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10187641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10187641, s2 = 11837198, int(edited[s2]) = 0 s1 = 10187641, s2 = 11837198, d1 = 1, d2 = 1 Dl.O(d1) = 35493432,27342774,20390802,14634326,10067132,6613303,6613301,4191929,4191931,6650959,6650955,6611620,6611619,4182511,2500987,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443260,1443257,2496112,1440847,1440844,2496150,4175730,6668478,10152435,14762233,20580163,27627286,35576037,35576032,35952462,35952464,255230364,69841334,81515737,77846646,77846647,91771272,97240154,90628705,90628704,81918187,81348454,68632912,56151930,56151931,64467766,52587935,42221462,33255068,25501398,25501401,33255029,33254970,33254973,42221321,52587710,46182526,46182525,56995415,56995416,45787372,45787373,56800344,53792828,43270953,43270954,43274539,43274537,256263315,27880859,36299346,46099665,57386748,68925468,269748151,269748153,82672839,257960303,256783069,27581161,27581162,27793489,27793488,27346724,20393890,14636413,10068316,6614002,4142016,2476989,1431480,814223,461455,260699,260700,144660,144658,260886,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467386,35122333,27558977,27558972,35634178,35634175,36090434,27847893,27487119,27487115,32762091,27511481,20504190,14710259,12233730,8260496,8260499,12233748,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260891,260886,463037,818827,1442962,2498346,1441912,1441907,2481050,1433511,1433508,2481046,267873623,10091899,14672969,20447686,27425928,35613332,45122046,56123058,45494006,45494003,35985983,35533546,35533542,35879816,27598708,20560378,20560380,27598716,35879821,35986380,35702102,35702098,44499915,35660441,27459757,27459762,27466972,27466967,35669465,45196766,46062960,56723550,57298854,57298852,69914986,57269194,57269195,257040786,75969398,62986859,51308528,51308527,255682992,48768419,38848652,30264846,30264845,256988863,60162753,72899543,81295958,67830169,67830168,81295956,95352079,86317800,86317801,81581894,68091884,55694232,269652583,67830131,257812838,72899532,60162745,48768411,48768410,60162741,55488951,44638964,35254422,27155407,27155409,35254426,44638973,55488962,67830152,81295935,72720180,72720181,59982674,59982673,59982616,59982615,62986864,51308531,51308532,258340713,59982610,48590609,38848644,30264840,30096777,30096778,38674235,30096775,22715018,16510736,16510735,22715014,30096770,38674223,48590624,59982628,59982660,48590656,48590657,38674258,30096789,22715024,22715023,30096786,38674253,48590666,59982672,72720226,86317839,100280056,100280055,100280103,86317845,72720239,59982679,55488956,44638967,44638966,55488954,67830145,258787628,60162733,60162734,53459910,42985053,33931034,33931035,42985056,53459914,65480469,72720167,59982624,59982625,59982585,48590591,48590589,48590590,258163963,86317786,100280066,259800133,81295930,67830143,67830142,72720212,59982664,48590659,38674249,38674248,48590658,59982662,72720091,67830223,258544247,86317885,81295971,67830185,67830186,81295972,72720202,59982652,59982651,72720201,67830060,67830059,81295857,259055858,35254379,35254380,44638911,44638998,35254449,27155437,20243916,14526202,9995021,9995022,14526204,14526215,20243937,27155463,27155469,268831537,257628019,39729448,31050787,23566698,17255354,17255355,23566700,256498953,49748322,61227408,74008117,87612272,76026566,63043688,51362504,41176330,32360563,24744302,18271257,12967479,12967480,255623955,19055607,13603490,9314941,6101893,3817904,254303003,1326964,757470,430562,243066,134357,73028,73031 Dl.O(d2) = 35493432,27342774,20390802,14634326,10067132,6613303,6613301,4191929,4191931,6650959,6650955,6611620,6611619,4182511,2500987,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443260,1443257,2496112,1440847,1440844,2496150,4175730,6668478,10152435,14762233,20580163,27627286,35576037,35576032,35952462,35952464,255230364,69841334,81515737,77846646,77846647,91771272,97240154,90628705,90628704,81918187,81348454,68632912,56151930,56151931,64467766,52587935,42221462,33255068,25501398,25501401,33255029,33254970,33254973,42221321,52587710,46182526,46182525,56995415,56995416,45787372,45787373,56800344,53792828,43270953,43270954,43274539,43274537,256263315,27880859,36299346,46099665,57386748,68925468,269748151,269748153,82672839,257960303,256783069,27581161,27581162,27793489,27793488,27346724,20393890,14636413,10068316,6614002,4142016,2476989,1431480,814223,461455,260699,260700,144660,144658,260886,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467386,35122333,27558977,27558972,35634178,35634175,36090434,27847893,27487119,27487115,32762091,27511481,20504190,14710259,12233730,8260496,8260499,12233748,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260891,260886,463037,818827,1442962,2498346,1441912,1441907,2481050,1433511,1433508,2481046,267873623,10091899,14672969,20447686,27425928,35613332,45122046,56123058,45494006,45494003,35985983,35533546,35533542,35879816,27598708,20560378,20560380,27598716,35879821,35986380,35702102,35702098,44499915,35660441,27459757,27459762,27466972,27466967,35669465,45196766,46062960,56723550,57298854,57298852,69914986,57269194,57269195,257040786,75969398,62986859,51308528,51308527,255682992,48768419,38848652,30264846,30264845,256988863,60162753,72899543,81295958,67830169,67830168,81295956,95352079,86317800,86317801,81581894,68091884,55694232,269652583,67830131,257812838,72899532,60162745,48768411,48768410,60162741,55488951,44638964,35254422,27155407,27155409,35254426,44638973,55488962,67830152,81295935,72720180,72720181,59982674,59982673,59982616,59982615,62986864,51308531,51308532,258340713,59982610,48590609,38848644,30264840,30096777,30096778,38674235,30096775,22715018,16510736,16510735,22715014,30096770,38674223,48590624,59982628,59982660,48590656,48590657,38674258,30096789,22715024,22715023,30096786,38674253,48590666,59982672,72720226,86317839,100280056,100280055,100280103,86317845,72720239,59982679,55488956,44638967,44638966,55488954,67830145,258787628,60162733,60162734,53459910,42985053,33931034,33931035,42985056,53459914,65480469,72720167,59982624,59982625,59982585,48590591,48590589,48590590,258163963,86317786,100280066,259800133,81295930,67830143,67830142,72720212,59982664,48590659,38674249,38674248,48590658,59982662,72720091,67830223,258544247,86317885,81295971,67830185,67830186,81295972,72720202,59982652,59982651,72720201,67830060,67830059,81295857,259055858,35254379,35254380,44638911,44638998,35254449,27155437,20243916,14526202,9995021,9995022,14526204,14526215,20243937,27155463,27155469,268831537,257628019,39729448,31050787,23566698,17255354,17255355,23566700,256498953,49748322,61227408,74008117,87612272,76026566,63043688,51362504,41176330,32360563,24744302,18271257,12967479,12967480,255623955,19055607,13603490,9314941,6101893,3817904,254303003,1326964,757470,430562,243066,134357,73028,73031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10187641, s2 = 11837198, dlinesl.size( ) = 2 s1 = 10187641, s2 = 11837198, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10187641, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9450309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7574550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7918778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1985388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6777825, s2 = 9436685, int(edited[s2]) = 0 s1 = 6777825, s2 = 9436685, d1 = 5, d2 = 10 Dl.O(d1) = 258347045 Dl.O(d2) = 255625381,12980937,254631275,3585873,3585876,2708730,2708735,3575446,3577798,2262880,2262882,2262295,2262294,3776321,6036098,9218241,8820400,5746763,5746764,8820401,12960695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6777825, s2 = 9436685, dlinesl.size( ) = 2 s1 = 6777825, s2 = 9436685, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6777825, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 13364611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2339431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9349726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13401569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13401569, s2 = 8281738, int(edited[s2]) = 0 s1 = 13401569, s2 = 8281738, d1 = 12, d2 = 16 Dl.O(d1) = 64243390,52387540,42043472,33095430,25361963,25361964,33095436,42043478,52387548,64243398,268039240,34197946,26325152,19598349,19598348,26325149,34197940,43295572,53820424,65888147,256704382,91726778,77799029,64616528,55253537,44405705,44405706,48370532,44405699,35030517,26949953,22839321,255861935,15729204,15729203,21787692,26949956,35030518,26960462,255327411,9900701,6507386,6507387,9900703,14394402,20076784,256341767,28915083,29076458,28412065,25609959,18997177,13557151,9281563,6079898,3824433,3824432,6079896,3804331,2278856,1321608,754004,428356,241761,133687,133689,134480,73400,39724,39719,73379,134945,133877,133875,242071,428886,754826,759934,759937,759963,759961,1330859,2287602,1327615,1327617,2278756,2276652,2276656,2053372,1327460,1327461,2288076,3164329,1852312,1057088,594368,331346,331344,594352,1057050,1852219,3164157,5186518,8095570,5186829,3164387 Dl.O(d2) = 24360466,24360465,17965687,12731510,8681617,5649244,3512099,2088149,1200705,676122,676121,1200703,2088148,3512096,5649236,8681696,12772392,18020459,24433822,25965523,33775260,42807597,53260593,59074989,268210112,29190741,21879015,15803615,15803616,21879018,29190746,35388845,35388844,44813528,55720119,68116490,62627460,62627461,63642701,55737311,50977129,50438366,50438365,61928806,50438368,40404381,40404382,42556944,44829658,55737308,68135136,75327284,257097324,74722416,61928811,61928810,68135151,55737318,44829665,44829667,48732070,38811845,30229075,30229077,30229063,22837074,22837075,30229065,38811829,35404089,27278033,27278032,35404085,44829646,55737303,55737289,44829636,35404079,35404081,44829639,55737294,62597354,269044620,24501540,18073700,12813295,255608727,256573203,50977131,48732056,48732053,48732054,47800409,47766122,38811852,38811853,30229086,30229087,38811861,32074243,32074244,35404082,44829641,55737298,68135129,81624990,76454502,76454503,89288335,89288334,83221475,69689229,57069138,57069137,69689226,83221470,85772659,72178327,72178328,85772661,99726523,99832901,99832902,113740747,99726513,85772653,85772654,99726516,99726509,258746815,59439887,48048080,38134577,29568379,22221940,16089333,16089334,22221942,29568381,38134582,48048086,59439892,72178333,259989939,112876550,112781339,98788833,84860458,71285916,71285917,84860460,98788836,84963274,72178320,59439884,48048078,257513663,58653412,257680704,59439891,59439890,71008633,58553939,256870645,37259194,47165000,58553937,71285921,84860463,271307243,91209881,86284896,72686430,59947809,59947810,72686433,84860455,71285914,71285913,84860454,71388491,71388492,59449021,59449022,59449024,71388498,71388499,71388510,71388511,259319319,72187079,72187080,84963282,258826028,37352094,28813358,21545290,21545289,257457365,71388501,72187086,59449020,48057626,38144478,29578253,29578254,38144479,48057628,258202986,28813361,28813362,37352101,47261633,270872534,47800398,47800397,47261605,47261606,47261617,58653405,71388489,84963272,258124111,48057630,269338489,48057635,38144483,29578256,22230671,22230672,29578257,38144485,269338491,72187093,84963256,98888736,270344820,71388466,70684124,57965929,256994826,47261600,58653384,258692551,85781224,84963255,269787029,47261598,37352078,37352079,47261599,257575250,57965932,46589470,46589469,57965931,70684126,258668878,62427517,75327276,89056225,103126804,117242822,112876533,99735079,99735078,113749505,112091877,98131883,257575252,70684134,258183410,112091875,271357408,112352651,98370291,84461027,70904728,259286131,260047632,260539055,114560675,100529819,86568617,270863959,70684115,70684116,77753922,89457214,75692084,75692085,84963252,98888719,98888720,86887802,73276441,73276442,86887805,85494715,71909604,62744574,269925169,62744569,51113234,40971065,32191453,32191454,40971067,47165057,47165056,58553992,71285998,73276448,60532024,49131796,39204875,30608911,30608910,30422215,23016865,23016864,256455723,48935206,60333095,258811353,73073589,73073590,85552771,86678157,86678165,86678156,73073582,258811351,73073600,60333104,60333105,73073602,86678175,73073603,73073604,86678180,271358993,128593428,126212651,112352659,271297911,84461030,84461031,84461040,84461041,86474531,72878971,72878970,60333091,48935203,39011732,39011733,257580277,73073585,84963246,84963247,98888727,112876528,126728995,126212646,112352648,98370289,84461025,259285274,46826039,58191997,70904726,259286129,259905405,98370283,98788843,98788867,84860498,84860497,271307245,112352631,98370306,98370307,112352669,118047305,272334197,126639524,126639525,260533285,98788842,84860464,71285959,58553968,58553969,71285963,270812709,260408114,118047300,103905620,89804651,76027891,258685855,58553970,71285965,84860501,98788869,112352673,99155143,89804649,89804650,103905619,98788845,84860466,258061211,256870647,37259195,256835282,31189316,39872075,49894438,61375076,258870291,101732767,98788865,84860496,84860495,84860468,71285926,58553942,258061213,84860471,71285992,269316199,37259231,255837931,21470301,256329559,47165055,58553990,257629918,58554023,71286043,71285946,58553957,58553956,71285944,84860485,84860487,269863864,58553946,51793011,255996812,37259200,28727313,21470320,15468207,10695626,10695625,15468205,21470316,28727365,37259246,37259247,37259253,28727354,21470311,15468201,10695623,7066006,4448880,4448879,7066002,10695616,10695603,7065997,254335431,2672824,4448878,7066000,10695609,15468182,21470282,28727321,28727325,37259205,47165011,51761563,256807542,24946762,18431999,18432000,24946764,21470308,21470292,15468187,10695612,10695613,15468189,21470297,21470275,15468177,10695607,7065999,7065998,10695605,15468175,21470273,28727307,28727317,21470277,15468179,15468181,21470279,28727320,37259203,37259221,37259222,257450357,51761559,51761560,58553976,47165038,37259216,28727332,21470295,21470294,28727331,37259214,47165031,47165068,37259237,37259238,47165070,58554005,71286019,71286024,71286025,84860549,98788918,84860550,259312649,71285936,71285935,84860478,98788854,98788898,84860536,84860537,98788900,259130134,95139370,98788863,98788906,112781388,270793250,112781393,126639546,112781404,98788927,84860561,71286040,58554018,58554017,71286037,84860554,98788921,98788894,98788892,112781380,123585428,113796411,271143896,109393556,112781347,112781346,126639517,139994693,137016057,123248071,112781391,98788909,98788910,112781378,121732123,260935297,107350230,92944839,78837787,259089145,107350233,105490153,105490154,94742417,80664295,67189382,67189383,78837783,92944833,107350222,119728897,261427697,144277961,131040564,131040563,119728903,105490167,91267826,77347719,64200045,52349558,52349559,64200048,77347720,91267827,105490169,119728889,261228399,105490156,105490155,114699602,100654491,86681852,73077407,60337167,48939559,48939558,60337165,258811781,100654481,114699591,119728905,133602792,141957143,133602787,123248074,259774015,86681848,86681849,100654487,89056060,75327112,62427385,62427384,52349561,42010206,257188855,64200054,259647023,259982850,86681847,100654485,114699596,261228403,119728919,105490182,91267838,77347726,77347725,260263587,117242659,259563683,89056058,89056055,75327109,75327108,89056053,103126656,117242650,118215154,104055569,89925909,76119732,76119733,89925912,104055573,118215158,104055594,258974225,63114181,51417342,51417341,63114179,258974223,76119739,76119696,76119695,89925873,259601567,76119698,63114153,51417330,41220719,41220720,51417331,63114156,76119702,63114172,63114173,76119718,76119719,89925896,89925930,98496489,112488255,118215140,118215139,104055552,89925891,77300857,64152104,64152103,77300854,84573623,84573622,91220999,98496487,84573634,71009815,58294867,256638136,28551377,28551378,37051166,257433685,71009819,257760741,41696457,257171733,63823904,75325174,75325173,64192146,52342065,52342066,64192148,64192138,52342056,42003091,40735710,31986864,24431802,24431803,31986865,40735712,50841683,62425452,64192140,64192139,77339185,91258861,91258856,77339178,64192135,64192136,77339168,259018857,77339180,75325179,64192141,258392143,52342074,42003102,33059518,25330398,18750540,13349275,9121634,254916063,18750542,25330400,256752966,18750514,18750513,25330357,33059486,257188099,256633501,25330384,25330383,25330388,18750534,255254483,269983092,5968690,9121639,13349283,18750552,25330408,25330352,18750508,13349248,13349247,18750506,25330348,18750546,254916065,5968689,5968688,5968672,3732708,2234955,2234956,2234951,2234952,3732702,254645903,5968663,3732699,3732698,3732732,2234972,2234960,2234959,3732714,5968683,254916061,5968653,3732687,2234942,2234943,3732690,5968657,5968676,5968675,9121620,5968698,3732726,3732727,5968700,9121616,5968673,5968674,9121618,13349227,13349296,255254471,13349223,254916067,9121645,13349291,18750566,18750571,13349295,13349293,18750568,256118377,42003135,52342103,64192178,77339221,77339051,269983111,52342044,52342045,257777517,258481121,53904129,53904128,60549899,49150621,49150622,47380050,47380051,58767303,52349569,52349571,60549894,49150617,39224122,39224121,49150614,60549888,73292927,85120324,71549400,71549399,77347705,64200039,64200038,77347704,64200055,52349566,256634205,25336516,18756941,18756940,25336514,33066022,33066028,33066027,25336518,18756942,18756943,25336520,33066030,42010208,42010207,257778153,268702780,18756944,25336521,33066031,42010212,257778155,77347735,91267844,99331343,91267848,77347736,77347737,91267850,86903028,73292944,258093068,41932348,41932347,269493659,77267484,91186758,105408722,119645575,133518506,133518521,146776070,133518513,119645579,119645580,119645596,105408738,105408739,107953105,93516038,259745453,105408737,107953106,260961075,79379697,66011644,53941538,43414905,34313768,26435529,26435528,34313765,43414901,51443705,269461311,59563054,72297470,85890273,259498742,127736002,131040550,257694896,90924641,90924640,89056016,75327046,62427300,50843529,50843528,50843530,40737632,31988791,31988790,40737631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1987976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2340867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7968661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7968661, s2 = 8027483, int(edited[s2]) = 0 s1 = 7968661, s2 = 8027483, d1 = 3, d2 = 12 Dl.O(d1) = 25880439,20794626,14902202,14902204,268139932,36414212,31734746,31316436,26431728,19693747,14120525,9714760,9714762,14120526,19693749,22729092,16523705,16523706,20350171,14606853,10328519,6796990,6796991,254295806,28074560,36542159,35134924,27049247,21940607,15852310,15852309,18731324,18731326,15480343,13188715,13188712,13015705,13015704,256599777 Dl.O(d2) = 104814830,272695499,259414702,256433384,25280009,29680825,38245548,30138506,30138505,35343786,28899752,28899751,22721877,254643422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6643815, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163866, s2 = 9348181, int(edited[s2]) = 0 s1 = 14163866, s2 = 9348181, d1 = 21, d2 = 14 Dl.O(d1) = 23106807,23106808,30524313,39122486,35396764,35396765,44822665,55730440,269331847,29266888,29266887,26606564,19799347,14182034,14182035,19799349,19799351,14182037,9749474,254962839,10041711,14593412,20334367,27270054,35396767,37832962,37832961,255725320,29633027,38155964,255896654,16105199,11822459,255134981,16105175,16105174,21944792,15856021,10989978,7275135,4588089,2760381,2760382,4588092,7275140,10989979,268218267,29266894,29589574,25293782,23414129,19779109,19779108,26582588,34569359,43841193,48899675,38978834,30391852,22988615,16750384,11704451,11704452,16750385,22988617,30391855,38978838,48899680,60293847,73031156,76276474,63257195,51540748,51540747,63257194,76276475,90089056,104221973,118382397,261089415,259908887,84514244,272819352,46865798,36987375,36987374,46865795,58233626,70950742,84514243,98435688,112423859,126286565,139656466,152376874,164249312,175054922,171467037,160252558,148004281,134883946,121081807,106821921,92510254,78470570,78470569,76325904,257718544,257718546,48910854,38988945,38988944,32515925,32515924 Dl.O(d2) = 255630825,32515916,41362854,51584295,63302541,257764115,41742363,32821220,25117059,18566249,268020405,5872208,3666605,2194680,2194679,3666604,5872207,8994257,13193572,18566247,25117058,32821219,41742361,52057119,63876257,76987465,258207028,257018690,32473728,32473727,257153085,63257118,76276408,90088999,271501903,122971547,272449879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163866, s2 = 9348181, dlinesl.size( ) = 2 s1 = 14163866, s2 = 9348181, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163866, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 7607923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7607923, s2 = 11164864, int(edited[s2]) = 0 s1 = 7607923, s2 = 11164864, d1 = 22, d2 = 13 Dl.O(d1) = 269211619,51567797,268721935 Dl.O(d2) = 256668311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7607923, s2 = 11164864, dlinesl.size( ) = 12 s1 = 10341047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341047, s2 = 8150114, int(edited[s2]) = 0 s1 = 10341047, s2 = 8150114, d1 = 22, d2 = 25 Dl.O(d1) = 254287895,209274,209276,213779,117860,64493,35503,35506,64509,67025,254292455 Dl.O(d2) = 5633774,254881789,17982127,12744205,12744204,17982227,24381253,31913136,40627840,50685468,40627383,31912698,24380862,17981911,12743968,8660505,5633717,5633718,8660509,12743971,17981917,24380651,268121806,24381069,24380969,17982002,12744028,8660549,8660550,8660440,5633673,3501082,254195591,1196511,2080987,3501079,5633667,3501099,3501098,5633698,5633809,5633808,8660664,12744213,17982251,24381278,24381572,24381573,24381271,17982241,17982243,17833606,17833607,17982197,12744179,8660644,5633796,5633797,8660647,12744184,17982022,12744366,8660757,8660758,12744367,255602223,31913461,40628185,50686226,62205454,75028275,259554967,259588026,106673631,92763138,92763140,107104165,259718090,92907837,107312719,116782630,130607646,130607643,116782627,102689381,102689380,116782623,130607639,143915248,135253672,121402411,107104159,92763136,92763135,107104157,105864854,91656817,91656816,105864852,120077471,133722098,119843124,105601859,91377218,77452436,257219658,42086981,33135364,33135363,42086978,52435454,52435455,64296378,59791109,59791110,71855391,59117711,59117710,48406613,38501080,254755200,254755198,38501079,48406611,57727046,46376812,46376811,57727044,65964054,64788118,52869322,42465540,254450778,59791107,59791108,65964038,53897645,254933720,52869335,53897639,53897637,43373780,34274919,26399998,26399997,255681234,46376804,255277282,254659324,13902806,9540908,9540907,13902805,19430747,26125281,33963528,43021148,268499188,257220996,53520679,43042212,33984661,26144758,19447399,268316037,33984662,37525111,47432706,269090586,52890801,42484199,33488306,25713376,19619718,19619717,26348875,34223038,33970771,33970772,43028433,39524249,30913779,30913777,39524248,37525091,28981284,21699070,21699069,28981283,37525089,47432672,53520670,65057857,65057856,65057923,269516988,78336851,65057922,53075440,53075439,43042203,43021159,43021158,43323215,43323214,53847575,257228130 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6618776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6831605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6831605, s2 = 1291290, int(edited[s2]) = 0 s1 = 6831605, s2 = 1291290, d1 = 11, d2 = 13 Dl.O(d1) = 258983987 Dl.O(d2) = 32537351,24892036,18391678,18391677,22133405,22133406,22218255,22218254,256390899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6831605, s2 = 1291290, dlinesl.size( ) = 14 s1 = 2679941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7909925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2346458, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14164042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2348127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2348127, s2 = 626167, int(edited[s2]) = 0 s1 = 2348127, s2 = 626167, d1 = 25, d2 = 22 Dl.O(d1) = 63709579,51902756,41602815,32699976,25016632,25016635,28224341,28224334,21028571,21028572,28224335,36717479,46605563,50530138,41234296,32409370,24784558,18302815,18302816,24784562,32409376,41234305,32699969,25016625,25016624,24784567,18302819,18302818,24342091,268452471 Dl.O(d2) = 46454541,36588452,28115672,20938728,15030490,10358296,6822311,4279797,254486213,10266998,6746572,6746571,6798858,9058067,5922204,3703146,3703145,5922201,7390770,11142481,16047207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2348127, s2 = 626167, dlinesl.size( ) = 2 s1 = 2348127, s2 = 626167, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2348127, Dl.E( ) = 26, 1.91e-05 seconds used appending s1 = 7653518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7653518, s2 = 11504426, int(edited[s2]) = 0 s1 = 7653518, s2 = 11504426, d1 = 58, d2 = 57 Dl.O(d1) = 271109302 Dl.O(d2) = 264262253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7653518, s2 = 11504426, dlinesl.size( ) = 46 s1 = 14162976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 693394, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6619710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6619710, s2 = 4356741, int(edited[s2]) = 0 s1 = 6619710, s2 = 4356741, d1 = 7, d2 = 11 Dl.O(d1) = 256614907 Dl.O(d2) = 63772231,62461339,50865784,40752104,40752105,50865785,62461340,270440467,89122815,103211414,117341339,131144458,144375342,156785604,168255638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6619710, s2 = 4356741, dlinesl.size( ) = 2 s1 = 6619710, s2 = 4356741, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6619710, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7150357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7150357, s2 = 4100167, int(edited[s2]) = 0 s1 = 7150357, s2 = 4100167, d1 = 232, d2 = 204 Dl.O(d1) = 263245178,272689879,258999696 Dl.O(d2) = 175774540,165042901,153224525,140542861,127197124,113339093,99336978,85393627,71805511,59064758,47664656,37742701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150357, s2 = 4100167, dlinesl.size( ) = 70 s1 = 13333245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348855, s2 = 9695643, int(edited[s2]) = 0 s1 = 10348855, s2 = 9695643, d1 = 12, d2 = 35 Dl.O(d1) = 65950530 Dl.O(d2) = 261079453,152236142,262172194,133602946,119729031,105490304,91267975,77347871,258051506,42010385,33066203,25336657,255400866,9127669,5973124,5973125,9127672,13356132,10597672,6991551,4393589,4393588,6991549,8837908,5759257,5759256,8837904,12982924,18291321,14545849,14545848,18291493,18874054,18291383,12982988,8837956,8837957,12982991,268452314,13449086,9197041,8838005,5759323,3586826,3586825,5759320,8837999,9197242,6021411,6021412,9197244,13449097,13449054,9197001,6021198,6021197,6021304,6021303,9197109,13449142,18873554,13449095,9197060,9197059,9197436,6021586,6021425,6021426,6021462,3766973,3766974,3766990,2257006,2257007,3766960,3766958,3766993,3766992,6021497,6021488,6021489,9197336,254922855,13449432,13449189,9197167,9197132,6021329,3766886,3766888,6021331,3766941,2256964,1309885,747746,424889,239834,132581,72074,72072 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2350343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8150993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6460267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1998868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 602948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2352199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2000021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2000021, s2 = 3018683, int(edited[s2]) = 0 s1 = 2000021, s2 = 3018683, d1 = 0, d2 = 12 Dl.O(d1) = 52041592 Dl.O(d2) = 91538172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2000021, s2 = 3018683, dlinesl.size( ) = 22 s1 = 6694081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2352405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2000667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6883339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6833171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6833171, s2 = 8760283, int(edited[s2]) = 0 s1 = 6833171, s2 = 8760283, d1 = 40, d2 = 34 Dl.O(d1) = 259005919,63882983 Dl.O(d2) = 209294860,203818282,271660814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6833171, s2 = 8760283, dlinesl.size( ) = 42 s1 = 14162574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13778111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2354283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6430948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7833613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9516354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9516354, s2 = 13841142, int(edited[s2]) = 0 s1 = 9516354, s2 = 13841142, d1 = 20, d2 = 17 Dl.O(d1) = 160100072,153431850,260533280,127395428,140751343,153431852,146843314,146843315,155157380,155157381,142512905,129135463,115203748,101125951,257776588,256632608,40308687,268734660,40308685,40308686,50334695,52135602,52135601,255241894,90954802,105139111,119335639,105139108,105139109,119335641,119335642,133168906,133168905,133168907 Dl.O(d2) = 265763723,225014199,274425735,227042556,225014201,222678791,219958876,216736204,212847363,264301319,195457136,187431472,178208745,167757523,167757520,167757521,156156850,156156849,167757521,156156850,261320673,116456758,271419791,61942952,50451474,40416941,38731008,38731009,48652173,60048689,72787479,259415813,260632985,262704031,261326362,112233811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9516354, s2 = 13841142, dlinesl.size( ) = 2 s1 = 9516354, s2 = 13841142, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9516354, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 9026022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8642480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8155847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657600, s2 = 16390646, int(edited[s2]) = 0 s1 = 11657600, s2 = 16390646, d1 = 25, d2 = 21 Dl.O(d1) = 1362509,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341715,2285194,3814801,6097108,6097106,6275528,6434357,9787055,13930693,254301726,6137022,3839536,2300284,1334718,762284,762286,762716,433887,245065,245070,433862,433859,762667,1335349,2301241,3840889,6138935,9371861,13685134,19164567,20823835,22721923,16516867,11510773,7657303,4845082,2919753,1693751,1693754,2919762,4845099,7657338,11510830,16516959,14941933,10276693,10276692,7015809,4411406,4411405,4115581,2461708,2461707,254232312,9996389,14527725,268080480,14420227,9918715,6518678,6518677,6569646,6569645,9996184,14420030,13739530,13739531,9919206,6519087,4084637,2443831,1413077,1413076,2443828,254471383,9125942,13353904,14444507,9936956,6531116,4092288,4092290,4084893,2443973,2443975,4084903,6519518,8636001,9996421,8636087,8636086,5969084,3732954,2235090,2235091,3732957,254645949,13349881,255655867,22274361,22274360,29625714,38192397,48103729,59491802,257947243,45767761,36061893,27718578,20639086,255774605,36061915,256719168,256719170,82470180,69544871,69544783,69544784,70033039,82049003,68525345,56061793,56061792,55655635,44747574,35321601,27198014,20271499,14544334,10006896,6687723,6687721,10176096,10176087,10176086,14627494,10063154,10063152,14627487,14635374,14635369,14730216,20472159,20472161,21212127,15244874,10517004,6935686,4358241,2611220,1507526,854791,854792,853736,482175,482177,853746,1505885,2609051,4355626,6932449,4356232,2609555,2609554,2906504,254493865,2608430,2608433,4354647,4362285,2614146,2614145,4362281,6940401,6940400,10523638,10576658,6976737,6976735,10576653,15313844,21206074,17494783,17494782,21193968,21193967,17495119,17495118,21206209,15240006,10513130,10513129,12672750,8606194,8606195,12672755,10523027,6939931,6939930,10427344,12684096,12684095,15240706,15240707,11137249,11137247,12672815,8606233,8606235,12672821,15240729,10513716,8615239,5600150,3476217,3476216,5600148,8615238,12683736,15231283,15231284,15094637,15094638,15313145,10576155,6976354,4382832,4382831,6894809,6981336,4386551,4386552,6933462,6932545,4355703,4355704,6932549,8606309,8606308,12672929,15322098,21223517,21205793,15239586,10512776,6932388,4355543,4355544,6932391,10512782,15239592,15314364,15314363,12684512,12684511,17905082,24285909,31799924,40494993,36936704,36936705,46815048,43852725,34581048,26593761,19788394,255725395,34581041,34581089,43852781,54597077,54597078,257850923,43168094,257256733,65130133,53145224,43852612,43852614,46515534,49022370,60425985,67753866,268640676,256740396,67577697,55238672,44389308,37406368,37406369,47315016,48703419,38780937,38780938,48703421,60099201 Dl.O(d2) = 148964560,161270626,161270627,164326869,152453928,152453902,152453904,152453930,139728374,272528321,139728373,126352308,126352309,139728371,126352307,112484591,98492611,84569266,71004993,71004994,84569267,98492613,112484594,98492615,270287691,58289625,58289624,71004995,58289627,258043163,84569278,98492623,105900362,105900361,91692644,91692643,77764866,64581817,52681438,46824353,46824354,58190418,58636881,58636882,52681400,42294879,33314441,25552733,18940076,18940077,25552736,33314450,36946436,28446682,21220564,21220565,28446688,36946445,46824342,48509927,38595093,30022431,30022430,38595089,46450513,36584803,36584804,46450518,57806393,52681395,52681397,60335895,48938253,39015152,30426398,23021362,16780793,16780792,21114924,28324535,36819735,46702243,58074283,50241316,50241314,55451374,44602408,44602407,55451369,46581845,36695356,36695357,46581849,52681461,47172766,47172767,42294889,42294890,46824322,46824323,39015086,30426357,23021335,16780778,16780779,23021339,30426369,38595102,30022434,22649536,22649537,30022437,36584807,28112346,20935594,15027508,15027507,20935591,28112342,36584801,46450503,57806379,48938238,48938235,60335878,73076226,64427270,52553118,52553119,64427273,73076267,60335940,48938289,48938288,48937916,48937915,60335634,60336076,60336075,73076376,67636519,67636518,73076257,73076259,60336079,50346187,40320036,40320035,50346182,268654528,50346178,61830064,60336101,60336099,73076397,73076247,60335918,60335917,73076244,73076263,73076262,73076304,73076303,83979174,86680827,73076286,73076285,77597537,64428612,64428611,74794777,74794778,73076290,60335973,48938314,39015199,30426429,30426428,30426411,30426412,39015182,48938275,39015169,39015168,48938271,60335912,70581924,57880431,57880432,255011896,73076270,73076271,74794795,88426874,99398242,85457429,85457428,99398240,112414004,112414005,99560784,99560783,112414000,98425331,84503736,70939759,58222685,46854900,46854902,58222687,70939763,62853013,51203657,51203656,62853008,75816312,84503741,70939766,58222692,46854904,46854905,47888465,256380335,22075586,22075587,24654743,24654742,32254197,41047473,51203666,62853024,75816330,65379621,65379622,78684249,77870570,77870571,91793147,89598434,89598435,99398235,99398231,85610403,85610401,89598432,89598431,85590490,72003626,59267456,59267457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657600, s2 = 16390646, dlinesl.size( ) = 14 s1 = 7628658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7628658, s2 = 10209099, int(edited[s2]) = 0 s1 = 7628658, s2 = 10209099, d1 = 46, d2 = 54 Dl.O(d1) = 269979431,52220689,52220690,52220691,52220689 Dl.O(d2) = 259899797,86849520,86849519,73236660,270351655,114881067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7628658, s2 = 10209099, dlinesl.size( ) = 10 s1 = 2357529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2357669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162538, s2 = 15294128, int(edited[s2]) = 0 s1 = 14162538, s2 = 15294128, d1 = 33, d2 = 34 Dl.O(d1) = 71292809,71292810,84867047,98795296,84867052,258061881,269784403,47171751,47171752,37265647,37265646,28733366,21475805,15473222,15473223,21475807,28733370 Dl.O(d2) = 271108869,107645656,122020092,122020069,107645608,93242930,79127301,65772011,269304012,43202269,53714641,65772012,259100617,93242921,107645602,114041087,259484886,260100190,122020060,135947775,149171878,262232263,161458519,149171875,149171876,161458521,172635100,182561980,182561981,182561982,176116182,165433970,165433969,166055952,154306083,141653273,128304221,114428197,114428198,128304222,141653275,154306086,154876942,142243365,260070058,258829522,86447840,72852763,60115977,48721231,48721232,59403370,49281606,49281607,48016249,38105985,29542727,23140611,16880446,11810203,7888790,5010256,3029496,1762711,1762710,3029494,5010253,7888785,11810195,16880427,23140588,21310023,15340081,10595437,6989849,4392419,4392418,6989848,10595435,15339792,255029097,10594316,10594315,15338773,21308670,21308783,15338905,10594432,6989142,4391977,4391978,254729239,15338910,10595262,10595261,15339880,21309797,21309830,28531337,21308736,15338851,15338852,21308738,21308679,15338784,15338783,10594436,10594437,15338917,254940960,15340099,10595450,6989860,4392425,4392424,6989858,10595446,15339761,268070011,10595284,15339913,16880961,16880960,268380715,28531431,21309854,15339930,10595297,6989746,4392354,2631802,1519682,1519683,2631794,2631795,4392346,254729305,10594446,10594428,6989139,4391975,2631574,1519555,1519556,2631578,4391981,6989152,6989077,4391944,2631554,1519546,1519545,2631551,254497841,2631569,1519553,1519552,2631564,4391962,6989107,10594381,11858911,15340043,15340041,15338849,15338848,255523659,21309390,15339520,255395483,21309800,15339883,15338865,10594396,10594397,15338866,10594858,6989436,6989437,6989126,4391970,4391969,6989121,10594398,15338868,10595478,6989892,6989891,6989839,4392413,4392412,6989836,10595421,15338704,15338703,15338799,15338798,17755838,15340868,15340867,15339356,15338681,10594258,10594259,6989879,254729325,4392444,2631847,1519703,1519702,2631845,4392439,6989886,10595474,10594780,6989378,6989379,4392206,2631707,2631706,4392204,6989501,10594944,15339528,21309395,21310005,15340061,10595423,10595200,10595199,255395399,15340932,10596216,6990462,6990463,10596218,15340150,21308756,15338870,15338871,21308757,28531404,256853355,37029564,28531402,21308754,21308753,15340110,10595466,6989881,4392436,4392437,254729327,15340117,11810781,7889222,5010530,5010529,6989921,6989919,10595510,10594789,6989385,4392135,4392134,6989381,10594281,6989026,4391913,4391914,254729221,10595485,10595484,15340126,21310055,28531306,21310078,15340148,15340147,21310074,24696242,24696240,21310687,15340942,15340941,267922166,12928223,18226991,18378503,18378504,18226966,18226965,24696215,32309464,30877701,23447259,23447260,24068692,24068693,31574174,255225148,255621056,255621068,51582918,41361667,32514825,32514824,256410011,22436855,22436854,256410009,256952211,255913045,255192125,12529749,17712731,12529771,8490967,5491678,3382136,3382135,5491675,8490961,12529758,17712747,24068674,29802765,24068700,18375386,16269546,254779361,4748003,4748005,7511168,11312642,16269562,17712800,17712799,24068731,28531736,21309060,21309059,22436861,22436860,24872842,32514828,31574126,31574125,37031179,28533213,21310697,21310698,28533215,30673776,39270038,40261308,31574338,24068871,17712942,12529915,8491071,5491753,254275435,267801193,5491749,8491062,12529903,17712924,24068852,29743554,38312243,41790231,39127750,37031240,28533288,24068740,17712806,12529801,8490992,5491695,3382147,3382146,5491692,8490988,12529795,17712797,15709900,15709899,21766829,29062701,37611980,38800254,30216187,30216186,38800252,38800258,30216190,22823930,22823931,22823932,22823913,22823912,30216157,38800209,48721165,60115884,72852671,86447755,100404230,100404229,114428181,114428182,128304208,141653254,272433831,260353357,93345866,79215089,79215088,258493208,35525708,27367004,20407947,14645806,10074587,6665019,6665016,6618288,4172826,4172823,6611703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162538, s2 = 15294128, dlinesl.size( ) = 2 s1 = 14162538, s2 = 15294128, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14162538, Dl.E( ) = 36, 2.1e-05 seconds used appending s1 = 2005597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8155983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8155983, s2 = 6922654, int(edited[s2]) = 0 s1 = 8155983, s2 = 6922654, d1 = 47, d2 = 25 Dl.O(d1) = 41900593,52236599 Dl.O(d2) = 260126149 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7596600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15404117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9125288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9125288, s2 = 2772244, int(edited[s2]) = 0 s1 = 9125288, s2 = 2772244, d1 = 13, d2 = 11 Dl.O(d1) = 23059349,30468495,39059024,48648075,38726938,30145481,30145480,38726936,48648072,60044585,72783420,86379475,77863688,64673672,64673671,65059837,78338701,86723904,77863690,64673673,52758690,42359202,33370244,33370243,42359201,52758688,64673670,77863685,77863686,91786248,91786215,77863628,77863627,91786213,105980660,105980678,105980677,114828248,119951388,105716193,91492193,91492192,270320112,77863675,77863674,91492496,77561719,77561620,64673619,52758636,52758637,64673621,77863636,257321876,77235478,64091147,52243608,41906359,32966964,25245032,18674780,13282493,9984879,9984880,14510646,20221642,27126292,35219658,44600485,48511207,52243602,52243603,64091142 Dl.O(d2) = 91151170,95320755,81260864,81260865,257321862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9125288, s2 = 2772244, dlinesl.size( ) = 2 s1 = 9125288, s2 = 2772244, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9125288, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 9692997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6498268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6498268, s2 = 13412100, int(edited[s2]) = 0 s1 = 6498268, s2 = 13412100, d1 = 57, d2 = 51 Dl.O(d1) = 255247508,256110354 Dl.O(d2) = 46273548,57618081,52022113,258376171,83833858,97691711,100213431,90718710,90718709,97691709,111610211,259625135,63742067,63742066,76846866,90718711,104889719,104889718,90718738,79268620,65906525,53839864,43315956,43315955,53839863,63742070,51931851,51931852,63742057,76846863,76846861,63742056,51931831,51931830,63741987,51931754,41628668,41628669,257756675,269472156,63742062,51931837,257756685,41628734,32722496,32722494,41628745,51931844,41628748,32722498,25035668,25035669,32722500,256099905,18502202,255639175,18502207,25035673,32722508,41628753,51931847,41628755,32722510,25035674,25035675,25035671,18502206,13145193,8959208,8959207,13145192,18502204,255639173,32722505,41628752,255398204,32722520,25035686,18502221,13145203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6498268, s2 = 13412100, dlinesl.size( ) = 17 s1 = 9359910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6672553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6672553, s2 = 14549689, int(edited[s2]) = 0 s1 = 6672553, s2 = 14549689, d1 = 6, d2 = 6 Dl.O(d1) = 257180346,52256216,256625827,25254966 Dl.O(d2) = 257180346,52256216,256625827,25254966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6672553, s2 = 14549689, dlinesl.size( ) = 2 s1 = 6672553, s2 = 14549689, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6672553, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 8292982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7635689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9088528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9088528, s2 = 6453025, int(edited[s2]) = 0 s1 = 9088528, s2 = 6453025, d1 = 95, d2 = 4 Dl.O(d1) = 4449882,2673362 Dl.O(d2) = 5874214,254639857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9088528, s2 = 6453025, dlinesl.size( ) = 40 s1 = 6976469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6976469, s2 = 8155387, int(edited[s2]) = 0 s1 = 6976469, s2 = 8155387, d1 = 21, d2 = 25 Dl.O(d1) = 260854655 Dl.O(d2) = 41744082,41744083,262149883 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9423503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9423503, s2 = 8443126, int(edited[s2]) = 0 s1 = 9423503, s2 = 8443126, d1 = 77, d2 = 50 Dl.O(d1) = 28617694,21381253,15398792,10642893,7026628,254211430,6347416,6347415,268039181,19594110,26319818,34191830,257263951,65881933,270274255,20900028,14995656,10326335,10326334,14995655,20900026,28071513,36538557,46399474,57750329,60043361,48646932,48646931,60043358,72782180,86378309,100335568,100158493,100158492,99318418,99318417,86378304,86378303,87238845,73617239,60866858,49463721,39530210,30919803,23482595,17199335,17199336,23482597,30919806,269377403 Dl.O(d2) = 255817872,13324716,13324717,18718390,20907937,15164831,15011815,15011814,20918057,20240165,14523597,14523598,20240168,25292114,21109025,15163271,10457131,10457129,10457706,15164052,15169499,10462083,6896221,6896220,6896226,6896227,10462090,15169510,21112149,21112067,15165967,10459140,10459141,15165962,21112059,28322185,31291651,31291650,39966528,49982975,61460939,74239991,87845075,84465112,70908855,70908856,74239990,74239989,87845073,87845072,74239985,74239986,61460937,49982973,49982972,61460935,70908858,58196151,58196150,70908856,259286511,112356329,126215958,261086602,139590115,143095488,129764995,129764994,143095486,263237537,184615486,262158316,261086602,139590115,152318631,164200997,175015795,273095968,175015796 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8324142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2363804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9089501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9089501, s2 = 13444700, int(edited[s2]) = 0 s1 = 9089501, s2 = 13444700, d1 = 12, d2 = 11 Dl.O(d1) = 21060932,21060931,28263041,28263481,28262955,28262954,28263455,36758975,31525850,28263027,28263025,36758270,46643651,46643653,46643605,36758127,36758126,46643603,36758413,36758414,31519322,31519323,36758817,28263351,28263350,36758809,31517739,31517738,30068039,30068040,38643230,31517780,24016314,24016313,31517777,38653682,38653684,30829363,23401459,23401460,30829366,37004832,36758367,28263088,21060953,21060954,21061054,21060942,15128083,15128084,21060948,28263078,36758343,36758761,36758762,38073036,29509026,29509024,36758264,46643794,46644645,49362294,39433030,39433031,39433311,39433312,36758327,28263060,28263059,36758321,36758829,28263356,28263354,36758818,46644487,58017752,49362292,39433028,30829156,23401340,17128929,17128928,23401339,30829154,30840623,30840622,30829310,23401428,23401429,30829311,39433217,40214315,50234558,49362204,39432913,30829062,23401286,17128898,17128896,23401281,30829050,39432889,49362178,53313180,46511806,40203506,40203505,31518459,31518460,40204833,39715575,39715572,31520273,31520272,40205982,40205981,31525464,31525463,38596511,31519835,24018262,24018261,31519834,31522083,40204658,254408854,39715566,49734312,40206135,31520044,24018524,267800870,24024274,24024275,30024366,24020566,24016665,24016666,17670792,17670791,24019779,31038766,31038765,39716182,31516856,31516853,31519454,31519453,40205766,38595855,30023151,30023153,24026185,24026186,22103771,22103772,22103762,22103761,24017441,24017440,31518953,40203573,31516846,24015528,17667387,17667386,24015526,24016494,30367194,31520193,31520765,31520764,31522044,24020546,24019396,24018840,17670047,12495345,12495346,17670051,24018849,31520276,254408916,17674181,254603098,5472013,5472015,8466173,12498443,12498499,12498498,17674281,17670299,17670301,24019191,17671053,12496090,8464333,8464332,7793561,4941557,4941559,7793569,11686884,8467439,5473300,5473301,8467445,7376438,4660154,4660153,7376433,11121101,16017080,12498470,12498468,11468967,11468966,12494759,12494758,17669268,24017880,24024371,31520363,31520467,31520466,24023490,17673620,12498054,12498055,17673623,24023494,31525409,24026898,24026897,31529138,31526213,31526214,40212010,40206319,31529121,24026880,24026881,24026900,17676338,12500068,12500067,17676334,22132373,22651369,16459965,16459966,17670191,12495450,8463758,8463760,12495457,17670132,12495417,8463730,8463731,12495421,12494942,8463320,5469039,5469040,8463325,12494948,17669472,17670650,12495815,8464091,8464089,12495808,8465022,5470842,5470843,8465028,12497028,16729460,16729462,22965588,30367177,38042516,38042517,31522119,24020663,17671495,12496435,12496436,17671502,21581841,15558032,10761284,10761285,15558034,21581848,24024644,24024643,24024683,24019017,17670174,12495442,12495443,17670179,24019026,24024580,17674598,17674601,19689062,19689063,16024232,11126030,7379687,7379688,11126021,11126020,16024218,22141873,29429635,22098328,17674618,12498858,8466581,5472453,5472454,8466589,12495788,8464071,8464068,12495781,17670608,24019530,22104307,15993690,11102920,11102918,15993858,11102906,268082609,22104517,29437257,29436527,29436528,37999256,37999777,29437030,29431057,22099341,15990038,11100305,11100306,7363056,7361008,4649706,2800767,1624665,923789,254164965,2800757,4649687,4650121,7361748,4662243,2808808,1629444,926533,522237,522236,926530,1629435,1624694,923966,520859,520857,923958,1624982,2801343,4650749,7362884,11102675,15993574,22104163,15993968,11102988,7363119,4650917,4650916,7363117,268082611,22104670,29437444,38000306,47916305,59310450,72045901,59935099,48542491,38627633,38627634,48542492,59935101,59935105,59935096,59935097,72674581,86274284,86274283,99853129,86274287,72674582,72674583,86274288,99853145,103812396,113870670,113870654,99853131,85898504,72305848,59571928,59571927,59935094,48542486,38627629,38627630,48542488,48185890,256402789,22354296,16202911,11263519,11263518,255107185,7636892,4831443,2911275,1688878,960441,541327,541328,960446,1688886,2786077,1616177,919247,919245,1616174,2786075,4625926,7325029,11049670,15926503,22027407,22216651,29562181,28979142,28979141,268734906,37523078,37523079,38128058,29562505,29562506,29802120,29802119,23322321,17057189,12197918,12197919,255420697,17322843,12197924,8228674,5299875,5299877,8228678,11843653,7915207,5031730,5031729,7915205,11843648,255163105,8245993,5317532,3266452,1920056,1920059,3266456,3265293,1919240,1096321,1096322,1919243,3208296,1896719,1082579,1082580,1654887,1654888,2851964,2851985,4733306,5269413,3224086,1889873,1078393,605671,605670,1078391,1889868,2852373,1655145,1655146,2852374,4733845,4971084,7831336,11730233,16777296,12157330,8187996,5257596,5257598,7314912,4617437,2780379,2780378 Dl.O(d2) = 53010347,64985135,78258253,65885954,65885953,79249648,79249654,79249655,79249659,93376836,93376824,79249647,79249646,255692180,92284861,92284860,106582617,107798820,122203936,107798797,93376814,93376816,107798799,122203938,128178141,114295079,100264965,100264966,94383609,80328891,80328890,94383607,108670477,108670485,108670484,108670471,108670470,114295074,260315388,122934635,122934634,122934636,108670469,94383602,94383603,104792585,94383622,94383621,108670490,259088176,102603392,115854390,108670463,94383597,94383598,108670465,122934633,108670460,102603391,88595353,74953343,74953344,87834327,74229464,74229463,74229472,87834331,258459638,74229473,76754747,74229470,61450153,49972338,49972339,61450156,54644212,54644213,66901519,61450145,49972333,39955696,31280895,23794902,23794903,31280898,39955702,34628642,26638870,19826986,19826985,26638868,31280901,39955707,43901078,54644236,43901074,34628645,26638872,26638871,34628644,39955700,49972337,61450152,54644233,54644232,43901071,269173643,54644262,43901094,34628665,26638884,19826994,19826993,26638881,34628661,269079221,34628659,34628658,43901054,34628624,26638857,19826978,14203051,14203050,19826977,26638855,26638893,19827000,14203063,14203064,19827002,26638888,19826997,19826998,26638890,33175754,33175755,34628673,34628672,34649189,26657845,26657846,34649192,43922430,54644251,54644252,52487841,42132394,33175757,25432842,18838235,18838234,254964258,6419579,254681809,13421771,13421770,13421772,13421773,18838233,25432840,26638896,26657839,19843772,19843771,25432846,255729693,14216492,9773513,6426185,4031729,4031728,4031715,2416159,2416158,4031713,4031716,3756291,2249732,2249733,2416169,2416170,254213215,1398696,2416163,3756297,2249735,2249736,2416173,4031733,3756290,254204197,744834,423082,423081,744832,1305204,796066,796065,796056,796055,1398693,1396926,794839,450401,253671,140283,76750,41759,41758,76748,76976,76977,140638,267743237,796051,794840,794841,451173,451174,796054,451233,254230,254229,451231,796127,1398692,796199,451288,451253,451252,796045,451165,254186,140630,254083713,451163,796043,451249,254239,140669,140668,254237,451245,796142,796141,796148,1398781,2416263,1398763,267782455,267761925,796138,1398773,2416276,4031894,6426452,9773480,254965205,19843750,19843749,19843748,26657821,26657835,26657824,19843752,19843751,19843757,14216465,9773492,9773490,9773495,9773489,9773488,14216462,255729691,26657829,19843762,19843763,26657830,26658617,19844505,14217049,9773912,6426439,6426440,9773914,14216501,14216500,268330469,34649204,34649954,26658615,19844502,14217048,255316345,26658616,34649956,43923254,54664973,54664972,54664971,66921527,54664963,43922435,34649194,26657847,26657848,34649195,43922436,54664964,66921530,54665870,257887687,43923317,43923316,54665868,43923286,34649982,26658639,26658638,19844530,14217068,14217069,19844533,26658661,34650016,257289365,60792349,49391823,39463446,30858826,23427675,17150215,17150214,268428613,49391822,53735373,54665862,43923278,34649976,26658635,26658634,34649975,43923276,39463445,30858824,268664985,43923294,43923284,34649979,34649980,43223596,43223595,43923280,34649977,34649978,43923281,54665864,66922439,66922444,54665871,269614765,53735375,53735374,65791256,53735369,43223609,43223610,43223593,34135803,26269308,19548660,19548661,26269309,26037433,19359663,19359662,19454769,19359664,13847480,9499403,9499404,9406116,9406115,13730615,19221627,25880763,33687092,26331003,268382670,10652811,10652812,15411546,21397471,19548677,13998527,13998528,19548678,256181923,19548925,13998731,13998730,19548924,26269629,34136203,43224151,53116964,255472476,33635374,34136198,34136197,43224146,53366548,42900429,37273607,28741323,28741322,37273605,37273610,37273609,28741324,28741325,21483654,15479910,10704632,7072137,7072138,10704636,15479917,21483665,28741346,29412818,26663183,26663184,28741357,37273647,255125206,71300519,58568453,58568454,71300523,58568540,58568539,60606292,49205652,39279192,39279193,47179537,47179536,58568377,58568528,58568527,71300593,71300594,71300604,58568541,47179721,37273722,37273723,47179722,58568534,47179717,47179716,58568532,71300521,71300520,73351315,71300589,71300588,84875106,71300611,58568547,58568548,71300612,84875107,258808670,74224359,61444635,49966613,49966612,49967028,49967029,39997967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9089501, s2 = 13444700, dlinesl.size( ) = 8 s1 = 1443752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1443752, s2 = 9138987, int(edited[s2]) = 0 s1 = 1443752, s2 = 9138987, d1 = 7, d2 = 11 Dl.O(d1) = 37255894,37255892,47161112,258391837 Dl.O(d2) = 64188356,52338173,41999001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1443752, s2 = 9138987, dlinesl.size( ) = 8 s1 = 10344668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163272, s2 = 9532701, int(edited[s2]) = 0 s1 = 14163272, s2 = 9532701, d1 = 16, d2 = 8 Dl.O(d1) = 259453124,67875020,55524447,257236570,44663290,55524448,53125425,254942792,25842059,33645308,42674570,53125426,65111181,65111182,71869219,59131073,47732471,37810304,29245724,29245726,37810310,35210523,27118625,27118626,35210526,41519958,32634137,24964537,24964520,18445905,17842955,12635338,12635339,17842960,24213204,31720436,40412165,50446077,61936839,74730517,260749407,116448130,104699677,90532754,76669765,76669766,90532755,104699678,118882828,127937777,114057345,100030123,86066774,86066773,86066770,86066771,100030119,114057341,259321264,271777798,146870080,133613454,119739770,105501306,91279138,77359294,64212073,64212072,64212070,64212069,77359291,91279133,105501300,105501308,91279143,91279142,77359302,64212077,52363086,52363085,64212074,77359296,91279141,101600281,87633479,74029951,74029950,74029952,269786898,49925194,39905715,31228951,23745170,23745171,17577570,17577568,23919115,31409197,40089141,50109615,61589575,61250027,49771475,49771476,39752987,31075374,23591996,17280013,254615986,24378787,31910302,37786171,47707277,59105433,71844122,71844123,85429591,99370511,99370512,113370662,113370666,113370667,127228117,140573271,140573269,259540640,258293176,113370665,127228114,140573268,153254637,141608233,128257642,114381075,100357435,86400892,72805248,60067572,60067571,48671350,38749885,30166932,22778055,16562840 Dl.O(d2) = 11545091,7680842,4859957,2928673,2928674,4859959,7680845,11545098,11043771,11043772,15921209,21094730,15152310,254822415,5115900,8026812,11979052,17068425,23334684,30757280,26045140,26045141,29858071,36720152,46309517,36720156,36720155,37921114,29353595,29353596,36798339,268108094,21095534,15152859,15152858,17430323,12285400,8296723,8296725,12285405,12285473,12285474,17430438,23757536,31080225,28315400,21105306,15160319,15160320,21105308,16357227,16095072,11179100,11179099,16095069,18542699,13175437,8981305,8981306,10455130,6891724,6891723,10455121,15160374,21092878,15151035,10449146,6888378,4324455,4324453,6888372,10449134,15151011,10450118,10450116,15152704,21095300,28304358,268389062,41703117,32787487,25089725,18544353,13176443,10450191,10450190,15152820,21095476,28304572,36801246,36801245,257992895,83829268,77394850,64243943,52388069,42043988,36885845,28389143,21170320,15212036,15212039,16096844,11180219,7417950,7417951,11180224,16096853,22231543,22261769,17133260,17133258,23407498,18787693,18787692,25372192,24504804,24504805,21170023,21170021,21170308,18776984,13372509,9139599,9139598,10497288,15217896,13381604,13381603,18787704,256122337,38179181,29612414,22261830,16121753,16121754,22261832,29612417,38179186,38195235,38195236,42906304,33861025,26039440,26039441,33861027,38178891,35188244,27099473,20199951,14494212,9972910,9972909,14494211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163272, s2 = 9532701, dlinesl.size( ) = 2 s1 = 14163272, s2 = 9532701, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163272, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 6782141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6782141, s2 = 11657653, int(edited[s2]) = 0 s1 = 6782141, s2 = 11657653, d1 = 1, d2 = 1 Dl.O(d1) = 258394181,52364065,42025950,42025949,42025945,42025946,52364055 Dl.O(d2) = 258394181,52364065,42025950,42025949,42025945,42025946,52364055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6782141, s2 = 11657653, dlinesl.size( ) = 2 s1 = 6782141, s2 = 11657653, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6782141, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9444942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6574194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574194, s2 = 1774841, int(edited[s2]) = 0 s1 = 6574194, s2 = 1774841, d1 = 41, d2 = 61 Dl.O(d1) = 256120562 Dl.O(d2) = 257423365,46802617,58169942,70883967,84441267,98351074,112334223,126194725,139569930,258795720,115244403,256982342,73550560,73550563,84441578,72831509,60094238,60094237,72831398,72831399,86426387,88165461,98351001,98351000,270340546,84441196,70883912,58169889,46802579,36924467,36924468,46802580,58169890,258033101,58169890,257195212,24886964,18387633,13060907,8900169,8900168,13060906,16603865,255071662,19360053,256168793 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2366241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9183152, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6782262, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15054676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8242374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8126797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8126797, s2 = 14111253, int(edited[s2]) = 0 s1 = 8126797, s2 = 14111253, d1 = 4, d2 = 7 Dl.O(d1) = 1730789,1730790,267984055,5381471,3309219,3309220,5381474,6249965,3912787,3912790,6249970,9103457,9103458,10312098,10312099,10395025,10283989,6759474,6759473,10283986,6793409,4259361,2546341,2546340,4259359,6793404,9067755,9073603,5953754,3723291,3723290,5953753,6755316,5939333,3713792,2568898,1479010,836041,471135,471134,836037,1478998,1289983,1289982,2218148,3703482,2225677,1290996,736925,418895,236413,130438,70711,38232,38231,70703,130414,236360,254112435,1290564,254439909,9084549,254998960,11269228,7480779,7480780,11269230,14606502,14606505,20349811,21073217,28277193,22723302,22367570,22367569,27996658,20832494,14934025,14934026,20832495,22366027,29722295,37369876,28829753,23469197,17188712,12585526,8537900,8537897,12585520,17782760,24149762,21981949,15886425,15886424,21981944,21981989,21981988,24720094,18246910,18246912,24720103,25272607,32996953,41937886,42144620,36793905,31508993,24009278,24009277,31508988,37878317,30613017,26648937,19835571,14209923,14209925,19835575,26648945,34640325,42144919,47802125,52503124,42144922,33185585,33185587,37878437,33185236,25440025,18843712,18843711,18843742,18843745,25440089,25440393,25440391,33185208,25440007,25440005,29309596,21981954,21981955,29309600,37878404,39094771,39094772,33185338,25440105,18843754,254920905,9179307,13425708,18843765,23085486,23085485,30498852,33185409,30925725,23487668,18843773,18843772,15810542,15810544,21887070,29199530,37760975,47683091,47049563,42144613,37365425,37365423,47275515,58424402,47049589,42144603,33185260,25440043,18843718,18843717,23085457,23085456,30498822,34320506,26443074,26443072,23085540,23085516,23085517,30498898,255663289,9179341,9179342,13425775,18843875,25440286,33116570,255242606,59088332,64264435 Dl.O(d2) = 64264434,77414332,84026671,84026672,97896117,84026741,70492299,70492298,259877887,111828826,271287705,70492232,57791658,57791657,70492231,84026690,70512188,57810959,46454909,36588803,28116059,28116058,268294295,254648251,5990953,8623421,8623422,12693867,17916681,24299580,256476302,40483909,40511443,31815272,24299621,17916706,16475074,16475073,22670892,30046167,24091081,17733565,17733564,24091076,20275101,20275100,24091090,17733567,12546982,8506232,8506231,255193315,24091087,268685821,29314448,29314447,31788869,30019741,30019743,31815277,29314433,21986274,15889938,15889936,15889932,11015170,11015169,15889929,21986260,24299562,17916672,15889900,11015150,11015151,15889902,21306883,28529113,21986243,21986241,29314390,37883248,37883267,29314415,29314416,37883271,268152634,29314367,29314365,37883213,37721498,29161730,29161727,30046180,22670899,21986312,15889960,11015183,11015182,15889957,21986308,29314474,37883325,37027126,28529111,21306881,21306880,28529106,268504462,21986269,21986270,29314425,37883278,47806742,48534942,40511358,31815200,29314328,21986203,15889895,15889894,21986200,15889922,11015166,7291956,7291955,11015162,15889917,13137780,8953974,8953973,13137776,18492224,25022846,32707132,257166913,256325430,37883252,29314398,29314399,37883168,29314332,21986208,15889904,11015154,11015155,15889905,21986210,29314336,37883171,47806666,59206024,71945017,76818726,258996653,258056060,59206140,71945105,85533004,85533003,99479505,113490216,259307068,72668622,72668621,86268889,89034907,89034905,103105489,89034902,75306824,62408708,62408709,75306828,89034904,85532969,71945005,71945007,85532972,259973401,104854187,104854186,119037750,119037749,258840064,76818723,76818722,85532980,71945023,270314791,99479482,85532982,85532983,99479485,113490211,258840068,271348886,99479477,113490206,117221629,127359985,113490222,113490221,127359981,140716072,153397777,259464490,140642972,140642971,258217262,99436400,85494788,85494787,99436398,104854207,90686620,76818792,76818791,90686618,104854204,115189902,101111740,101111739,101111753,115189914,101905655,87932297,74329268,61552684,50074122,40054211,31373053,31373054,40054213,50074125,61552688,74329275,87932299,101905656,259464488,140716074,153321922,258840066,113438299,99436401,85494790,85494789,87113713,268974940,85494791,85494784,76818787,63718026,51911230,51911229,63718024,76818783,90686613,104854202,101111742,87113676,73494985,60746071,59171575,47772670,47772671,59171580,61552692,50074127,40054216,31373059,23877597,23877598,31373060,40054218,50074132,61552700,74329289,87932304,101905661,88094512,74482229,74482228,257453218,76818734,63717979,63717980,76818738,90686578,85707892,74955687,74955686,88597797,98945940,269399568,59171585,47772675,37849592,29281719,29281718,31884267,40591665,42365107,42365106,52764530,46686855,36802611,36802610,46686851,58060236,70778201,70778205,84337180,78516042,74329264,257609658,47772694,37849606,255533876,256483636,37849621,269332231,59171593,47772686,37849598,29281725,256370965,47772689,59171597,59206125,71945095,62038784,50546955,40511242,31815122,24299503,17916632,12693837,12693836,17916629,24299500,31815117,40511236,256483632,59171591,58717324,47328650,37420434,28878772,28878774,33376349,38244452,48153353,41610987,32707199,25022889,18492251,18492252,25022895,31373011,39320245,30722094,30722095,39320247,33737171,33737170,42767260,36901684,31161370,31161369,39844062,44436937,55281054,60526082,49125033,49125032,44436953,35062889,26979558,20090982,14404385,9907431,9907432,268174799,256743429,37811416,47733633,59132316,70512147,70512146,84047430,71876532,59138410,47739767,47739765,59138403,71876498,59138367,47739737,47739738,59138369,71876501,258723481,71870539,73174153,73174152,85461149,271325927,101052174,101052173,100768276,86787074,73174155,73174154,86787072,100768275,91442114,77512087,77512086,91442111,87055927,73437824,73174178,73174179,258902720,60008532,49023624,39094750,30498886,23085503,23085501,30498883,39094745,49023611,60427242,71908742,85493742,258753928,71908760,71908758,64346301,60689442,49287980,39360920,39360921,257605977,64346292,52475928,52475930,64346298,73588637,257617451,49437335,60838960,60689476,49288001,47771515,37848393,29280643,21955834,15864129,10995469,10995470,15864131,21955838,29280648,37848401,47771531,258069134,40018521,40018520,41025422,257720977,60689462,49287994,39360919,39360918,42899085,47771528,47771527,59170570,61516865,50037971,40018527,31339345,23846693,23846692,31339343,40018522,50037955,61516823,256040608,49093979,49093978,60497515,52387679,42043593,42043592,50143245,257557043,42385332,39922295,39922294,49940046,40335432,31646908,24140674,17776416,12580814,12580815,255585609,31646921,40335454,40335429,31646905,24140672,17776414,12580813,12580812,17776412,17789845,12591490,255196669,17789840,22761465,22761464,256434203,48651517,43042842,33985294,26145400,26145401,21927796,21927713,15841314,15841313,255437041,15841329,255872837,29248007,29248006,29248013,21927756,15841336,15841335,21927754,25466521,25466522,33213881,42173285,52014718,41704313,41704157,41704155,257761227,52015026,41704565,41704564,52015025,257788172,41704230,32788840,32788841,25091254,268138237,13177138,18545482,25091252,32788889,255866768,13177057,13177056,255642315,29367553,37934091,37934090,41704062,32788701,25090902,255242607,8982226,8982228,13177023,18545263,25090912,268492280,25091208,32789157,255663288,25091191,32789133,41704604,47110803,52014801,52014802,52015085,42758634,33728927,255668122,13764470,9433965,9433964,13764469,19260199,25922081,33728926,37739029,29309742,29309744,32546091,24897113,18394767,18394765,21982107,15886523,11012620,7290224,4597231,4597230,7290219,11012607,15886499,12171977,12171976,17293143,17293125,17293127,19787532,24226087,31734661,31660102,24149707,17782725,17782726,24149714,31660113,29372321,22041305,15938687,11060064,11060062,15343038,20217060,22874567,27120328,35212589,44593258,46911564,257242082,13827065,254667725,254209295,770540,437853,437854,770545,1350696,2330354,3892119,3854482,3854483,6160199,9402637,6218435,3892180,3853582,254208495,1339845,2309339,3854498,6160223,3957189,2369874,2369873,3957188,254667741,6162565,3855934,3855935,2369449,2369450,3956554,3956552,3956432,3956433,6312615,6160269,3854544,2309380,2309379,2369982,1371989,1371990,2309389,2309390,3854557,3892117,3854604,3854605,2369965,1371977,780999,442850,442851,781002,780726,780727,1371542,2309375,1339871,1339872,1339889,2309405,3854577,254940497,9402686,9612573,9612575,13726333,9402710,6160261,6160262,9402713,9610740,6312568,3956387,2369318,1371563,1371562,2369316,3956381,6312560,6313849,3957311,3957312,6313854,9612560,13990490,13990054,13990055,19216863,13992685,9612552,6313844,6313843,9402813,9461255,9402821,9402819,6312754,3956534,3956533,6312752,9610761,9402837,9402838,13726449,9610627,6312487,6312488,9610632,13990042,19538413,13990597,13990596,19216706,13726329,9402705,9402706,13726332,19216711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8126797, s2 = 14111253, dlinesl.size( ) = 2 s1 = 8126797, s2 = 14111253, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8126797, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 8102595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8102595, s2 = 15373435, int(edited[s2]) = 0 s1 = 8102595, s2 = 15373435, d1 = 10, d2 = 15 Dl.O(d1) = 15537958,15537957,21558774,23469197,17188712,12585526,8537900,8537897,12585520,17782760,24149762,21981949,15886425,15886424,21981944,21981989,21981988,24720094,18246910,18246912,24720103,25272607,32996953,41937886,42144620,36793905,31508993,24009278,24009277,31508988,37878317,30613017,23193138,16925979,11846320,11846319,16925977,23193134,30613011,34640357,256915493,29309665,29309667,26648931,26648927,26648926,25440137,18843778,13425712,9179309,9179308,13425710,18843772,15810542,15810544,21887070,29199530,37760975,47683091,47049563,42144613,37365425,37365423,47275515,58424402,47049589,42144603,33185260,25440043,18843718,18843717,23085457,23085456,30498822,34320506,26443074,26443072,23085540,23085516,23085517,30498898,255663289,9179341,9179342,13425775,18843875,25440287,33116587,254906434,42144791,256103568 Dl.O(d2) = 67580520,77414328,64264430,64264432,73174050,73174049,86786880,91333055,77414331,77414332,256103550,58851414,71577171,85146677,72464391,59728833,59728834,72464393,86062422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8102595, s2 = 15373435, dlinesl.size( ) = 2 s1 = 8102595, s2 = 15373435, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8102595, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 9146134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9146134, s2 = 14842724, int(edited[s2]) = 0 s1 = 9146134, s2 = 14842724, d1 = 42, d2 = 16 Dl.O(d1) = 61536579,50058085,40038678,31358697,256522843,23865404,23865403,31358965,257069835,61487241,50009111,39991154,39991153,257069807,59949333,61487252,74264353,77415342,64265408,257193395,42066209,52410054,64265409,72324497,59590040,48203588,38294190,29727239,255468243,11272559,7483023,4728993,2849168,1653066,1653065,2849166,4728989,7483017,9145091,7741579,7741580,7690567,7584312,7584311,11412753,7693876,7693874,11561052,7731374,7731375,7584426,7584425,11412882,11614388,11614389,7738476,4899654,2952984,2952985,254549003,7730353,4899752,2953054,1712485,1712486,2953056,4899754,6814187,4274060,4274061,6814189,10349193,6814294,4274116,4274117,6813907,6813908,7583847,4796861,2955857,2955856,4796811,2955648,2955651,4903763,4796615,2891322,1678176,1678174,2891315,4796603,7583399,11411747,16395428,16001656,11109027,7606319,4812102,2900100,2900099,4812094,7606305,7619683,7619682,11455579,11613233,11612169,10310239,10310238,14977745,11614090,11614091,16646177,16663787,16663788,22778602,21026312,16435980,11451166,7616424,4818948,2904010,1684603,957882,957881,1684599,2903229,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895231,4803619,5683602,8730178,11459494,7622199,7622198,11459491,16447177,255925909,38575487,48488572,59880093,72618468,86216944,100180728,114212947,128101486,141466974,141466975,261877569,167986427,165900563,154136586,154136587,156422326,143915222,130607612,116782589,102689341,88679345,75028223,62205403,62205402,75028221,88679341,102689333,116782577,130607595,143915202,156422313,167986423,273755783,202436212,195593879,195593878,264308489,212927200,216803505,220015856,222727947,265614341,266541125,266689893,238427533 Dl.O(d2) = 266155029,230651204,229134681,227417531,225454345,223196731,220585215,264871095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9146134, s2 = 14842724, dlinesl.size( ) = 22 s1 = 2016363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2016363, s2 = 15939740, int(edited[s2]) = 0 s1 = 2016363, s2 = 15939740, d1 = 0, d2 = 12 Dl.O(d1) = 52412202 Dl.O(d2) = 232944855,231693638,230301546,228736271,228736270,228736273,226958292,224919240,224919241,224919243,222572007,219838789,216600487,212694251,207915712,202116934,195217784,187146877,177875170,167379172,273162505,143193415,129864459,115967194,101923174,87950736,74348503,61571647,50091716,40070554,31388063,23891862,17545312,15488628,12370053,10468345,10468347,10017011,6584299,6584296,10017615,10017560,6584316,4125380,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404338,8373903,8370721,5402352,5402355,8370728,5423187,3333867,1960736,1960735,3333865,267911233,12381259,8366449,5399778,5399777,8366446,12381254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2016363, s2 = 15939740, dlinesl.size( ) = 2 s1 = 2016363, s2 = 15939740, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2016363, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 2368269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8307290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8307290, s2 = 6782521, int(edited[s2]) = 0 s1 = 8307290, s2 = 6782521, d1 = 24, d2 = 26 Dl.O(d1) = 257783191 Dl.O(d2) = 258397959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 7640867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8479879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164478, s2 = 6912176, int(edited[s2]) = 0 s1 = 14164478, s2 = 6912176, d1 = 10, d2 = 9 Dl.O(d1) = 262661212 Dl.O(d2) = 260013596,97968442,84094906,70558674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164478, s2 = 6912176, dlinesl.size( ) = 2 s1 = 14164478, s2 = 6912176, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164478, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 2583291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2583291, s2 = 8300889, int(edited[s2]) = 0 s1 = 2583291, s2 = 8300889, d1 = 71, d2 = 92 Dl.O(d1) = 72937034,60709860,49307573,255176790,256523850,74180750,74613628,74613627,73458187,73458188,81341568,71355522,58618395,47225089,47225090,58618399,256282754,268198920,37373673,36594350,28121236,28121234,28780605,28780604,37316301,47225104,58618410,48992221,48992220,257393152,256969070,46345960,46345961,38302632,38302633,48212666,55746886 Dl.O(d2) = 261653394,259922308,122027733,135954878,149178609,260609290,153906120,141234248,141234247,127874794,258142186,86013068,72416708,255913470,29812832,29812831,38385311,256410436,86013067,271340393,140976639,140976647,127627042,113758360,99744040,85790279,85790280,99744041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2583291, s2 = 8300889, dlinesl.size( ) = 14 s1 = 2018711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6725303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6725303, s2 = 13052385, int(edited[s2]) = 0 s1 = 6725303, s2 = 13052385, d1 = 14, d2 = 40 Dl.O(d1) = 257753256 Dl.O(d2) = 197837643,190246512,262784234,160214686,147963277,134842076,134842077,147963279,160214688,171434350,171434359,181452460,264078081,273150472,147963277,263446422,260419320,32794533,268179138,3661516,5524292,8525557,12571247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6725303, s2 = 13052385, dlinesl.size( ) = 8 s1 = 2019084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2371283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2371283, s2 = 9554305, int(edited[s2]) = 0 s1 = 2371283, s2 = 9554305, d1 = 5, d2 = 35 Dl.O(d1) = 64378044 Dl.O(d2) = 142982551,259492138,101709368,115755656,129653823,140514110,127167328,113307387,99303612,85358471,71768202,59024502,47621098,37697867,29601435,22251670,16113429,16113431,21341072,28568634,37071197,30761838,23339005,23339004,30761837,39363036,49290232,50191175,40166956,40166957,50191177,48294598,42299725,42299724,38384666,29812265,22444952,22444950,29812262,38384665,48294927,38384596,29812197,22444912,22444913,29812199,38383688,31137745,31137744,255995202,38384458,48294840,48294781,38384351,29811975,22444770,16275748,16275749,22315173,29666918,29811805,22444665,16275692,11317362,7514628,4750454,4750453,7514625,11317353,16275677,22444636,29811757,38384081,29811912,22444735,16275729,16275728,22444729,22444468,22444469,16275852,16275853,22444961,29812281,38384691,38384655,29812256,29812255,38384651,38383679,34669099,34669100,29811526,22444478,22444479,29811528,29811509,29811510,29812185,22444934,16275841,11317435,11317434,16275839,22444928,29812223,38383710,29811451,22444426,16275565,16275566,22444427,22444553,16275634,11317331,7514613,4750450,4750449,7514609,11317319,16275612,22444516,29811571,38383853,48294398,47400549,47400547,38384574,38384573,48294907,47669126,37747197,29812324,29812323,37452421,34669157,28913002,21638798,15607119,15607118,21638795,28912992,22313571,22313569,22444395,16275547,16275546,22444393,29811394,38383642,47981029,38068845,38068843,43206592,34119374,26254532,26254533,34119376,42061235,255220338,26254282,32320391,32320392,41134087,41134089,34119332,30704915,30704914,35240358,27143861,20235269,14520374,255107724,4113679,6566580,9991280,14520381,20235278,27143875,35240386,255614728,30704955,30705015,30705016,30704922,23288842,23288841,30704921,33205181,25457904,25457901,30516875,39114195,49044039,60447920,59267252,256071244,29388335,22057809,15953753,11071730,7341381,4637102,4608081,4608080,4668028,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334884,11062264,12894760,12894759,15942874,15942873,22045880,255355834,22066934,22063303,255072783,7344173,6891944,4326420,2588295,2588294,254491355,10455509,15160940,15949306,254796742,15949693,22053159,22063827,22052884,22052883,29382989,22071998,22071999,22047594,255882549,15954205,15954206,15956212,22060530,15963380,11079541,7346763,4640252,4640251,7341820,11072389,15954606,11074392,11074391,15957062,22061452,29377406,22062598,15958137,11080778,11075037,7343609,7343608,6230816,3901020,3901021,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921459,22070744,22070742,29401218,37940717,37940718,29391370,22060859,22060861,15956516,15956515,15956304,15956306,22060627,29390853,29392851,29392850,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974310,29301577,37871156,29402887,29302295,21974981,15880675,11008516,11008517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2371283, s2 = 9554305, dlinesl.size( ) = 8 s1 = 9464006, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15087028, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9397074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9397074, s2 = 9545692, int(edited[s2]) = 0 s1 = 9397074, s2 = 9545692, d1 = 18, d2 = 9 Dl.O(d1) = 60374874,48978275,41918921,32978746,256625983,44347097,39056060,30465937,256458291,48978286,55197817,44347167,34969553,26890399,26890400,34969555,44347170,46939723,58305898,71021134,67541768,67541767,81011535,81011569,67541812,55197808,44347160,34969549,26890396,20009322,20009321,26890394,34969545,44347153,55197799,67541803,62999781,62054473,50562201,40525929,40525928,50562199,62054468,52545193,42186417,42186418,52545195,52545178,52545179,62999773,62999766,52545181,42186409,42186408,42186414,33226187,25477870,18876112,13451286,13451287,13451288,18876115,25477875,33226194,42186428,52545210,53064901,42617076,33593023,25796998,25796999,33593025,42186434,52545215 Dl.O(d2) = 155684492,167318882,159461491,147087215,272374938,133843419,119977124,105742505,105742504,91519007,77588125,64419412,52545213,42186433,33226196,33226195,42186431,52545212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9397074, s2 = 9545692, dlinesl.size( ) = 8 s1 = 10353380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353380, s2 = 9684247, int(edited[s2]) = 0 s1 = 10353380, s2 = 9684247, d1 = 51, d2 = 65 Dl.O(d1) = 254977674,6952736,6952737,5397560,4682309,4682315,7410203,10535339,10535340,12396812,12398936,8379286,7409669,5407570,3324368,3324364,5022543,3040173,3040170,4681989,2820977,2820976,2820995,1953737,1116167,626379,348033,190835,104196,104195,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,9767770,14208712,19834341,17555656,16082861,16082862,22214495,29559925,255537044,17577929,17577928,22879126,18972230,254387530,16591484,17557432,12386852,12386851,17557434 Dl.O(d2) = 257139331,43170006,43170005,40812661,32052588,255708876,8707870,7845086,7845087,4979879,4499557,2703713,2703717,4499553,6500327,6500326,4073341,2437329,1409331,1409330,2437323,4073330,6500562,9882950,10812304,9895507,9895508,6502959,4074903,4074905,6502968,9866615,6481450,4061504,4061502,6481444,9866605,9900088,6506826,4077484,4077483,6506822,7698340,7698341,7146495,4500067,4500066,7146491,10814091,9878456,7144643,7144644,10811898,11731728,15624950,10811148,9863142,6478969,4060048,4060041,2430000,1405627,1405624,2429997,4060039,6478957,9863126,11591193,7715945,7195064,7195065,7063005,4446945,2671594,2671595,4446951,4972016,3003123,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9872092,6485331,6485330,6499812,6485310,6485315,9872074,9875298,9882576,6492960,4068459,254469549,6508035,6508036,6482498,6482497,254970687,6481157,4061330,2430700,2430701,4061332,6481161,9866287 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2373875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9462226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10178359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9490462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9490462, s2 = 6933815, int(edited[s2]) = 0 s1 = 9490462, s2 = 6933815, d1 = 35, d2 = 24 Dl.O(d1) = 256171498,18816375,13404768,13404767,15645847,21685011,268144019,255258963,24424276,21407930,21407929,15419860,15419861,21407951,28650491,37167566,47059086,58434177,71155720,84725380,98655173,259923882,98655165,84725368,84725369,89795081,89439868,89439869,89439871,85105777,71534729,58805731,47418504,47418503,58805729,269529994,62730471,51099417,51099418,52716354,64539366,52640266,42254811,40957570,40957568,32178747,24592311,18146530,12867847,8751014,8751015,255220479,18904776,25514842,33275240,42254834,52640294 Dl.O(d2) = 260281385,127001509,113143868,99153870,99153871,91648674,260280991,91648662,270415182,64539377,52640276,42254816,42254817,47731243,47731242,59129972,64534424,52635680,42250380,33270981,256648547,52635679,47731232,47731231,42250381,42250382,256750550,47143841,37238602,28707992,254889700 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6623450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2023792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2376403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2377436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6836964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6836964, s2 = 11197620, int(edited[s2]) = 0 s1 = 6836964, s2 = 11197620, d1 = 49, d2 = 62 Dl.O(d1) = 259042907 Dl.O(d2) = 118006456,103862026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6836964, s2 = 11197620, dlinesl.size( ) = 56 s1 = 9336813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657688, s2 = 9668084, int(edited[s2]) = 0 s1 = 11657688, s2 = 9668084, d1 = 18, d2 = 0 Dl.O(d1) = 153917597,271370584,127885184,114005744,99980794,86020156,86020155,99980792,257607406,86020154,99980791,102425494,88424124,74791914,257779390,102425496,116522463,109812876,95609455,95609452,258552143,68085608,81575604,81575609,81575610,81575608,269652415,44779007,35354280,27231083,20301809,14569231,10025473,10025474,14569234,20301812,27231088,31410186,25630333,19014615,19014616,25630335,28972740,28972741,268926887,257468579,71540261,85111810,259948049,113025829,113025830,126878901,126878900,122887000,108622621,108622620,122886998,108622624,94335276,80278846,66849299,258501719,94335278,108622630,122887012,123593478,123593479,262065356,133975080,120133278,105921250,91713824,77786008,64603032,64603033,77786012,91713832,259670833,91713830,77786011,64603032,52702366,42315125,42315124,52702365,52702370,42315127,33334546,25574852,256137587,42315123,52702363,64603027,77786002,91713815,260286603,114719130,128615984,128615997,114719138,114719137,128615996,128615988,128615987,141975739,154617805,166335599,154617807,141975741,141975742,131683063,131683062,144931822,157345587,153898727,271994650,113989735,99966254,99966253,113989734,127867995,127867994,113989742,113989741,99966265,86006942,75802549,257721559,41031547,32238949,32238950,41031550,51188143,62838362,75802544,63214230,51503980,51187159,41030727,41030728,43941929,54684564 Dl.O(d2) = 1694263,1694262,2920876,1694260,963373,542889,304223,304224,542892,254169363,2920883,4847393,7063142,4447043,2671656,1547530,254157730,496278,496183,278108,153347,83950,83947,45829,45830,83965,84248,45997,45995,83822,45749,45751,83830,84093,153607,278372,153552,153553,278404,496609,880166,1548190,2672591,4448453,7065256,10694367,15466321,21467803,28724540,30049096,38622900,48537768,38818567,30235288,254793894,22840575,25549107,33310599,28712618,21457254,15457856,10687954,10687953,15457854,268384841,37243545,47148826,41900506,38284719,38284720,46448952,36583295,256329046,37243558,47148833,47148834,258060141,59851776,71268754,71268755,84842660,88110802,86154071,74499056,61717641,61717642,74499058,256536454,40218511,31532649,31532650,40218512,50238630,51008977,257301997,34976698,26897496,20015734,20015736,26897505,31934467,24397336,17994998,12754423,12754428,17995017,24397378,24397283,24397281,31934360,33571390,25782689,19140593,13667126,13667124,19140585,25783586,33576605,25783713,25783717,32068064,24496764,18069974,18069969,24496715,24496718,32067971,34976783,26897546,26897541,28178440,28178442,36654286,32102951,24527163,18095528,18095530,24527152,31009644,31009646,38896940,32068509,30311165,22911340,22911335,18333113,13125830,13014155,13014157,18333288,20154248,14458084,14458083,20154243,27046771,35132331,44509043,55355538,258244842,62634568,62634569,258948237,103425167,117554022,131353693,144577860,154804488,142170458,128815814,114918616,100868111,86887943,73276591,60532179,256737026,49131969,39205077,30609096,23189723,16922896,15238559,10512106,6931925,4355267,4355263,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,1175661,2049844,2049846,3457648,5573865,8578509,12634572,17841935,14198491,14198490,11451248,11451247,12636728,10419458,6868799,6868800,10419461,15106694,21032478,28229424,22404002,22404001,25078558,25078557,32775896,39146498,37854120,29285862,29285861,268094994,20168094,14469707,14469705,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,8087697,12030218,17119130,17119131,14197267,14197266,19819840,18419093,18419095,24930370,24217343,24217344,29945013,26385342,26385341,29946000,22583043,16400515,11416786,7587511,4799229,4799230,7587517,11416798,14197102,14197103,17121078,22894421,22894420,26387579,26387578,26392852,19658527,19658525,19658461,19658462,15477537,14090651,9691663,6374612,3999847,3999848,6374614,9691665,14090655,14095832,254539054,26384768,26388240,25442898,19818624,14196319,9758978,9758977,14196317,12029598,12029597,11102306,11102305,15992957,16565489,11547289,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,7732012,7732014,11612234,15159585,21104339,21104338,17821361,17821360,16553931,14094419,14094418,19662914,16553966,11538340,7676334,4857286,4857285,7646594,7646595,11496321,12557361,8513796,5512456,3399828,2004416,1145773,1145774,2004420,3399839,5512478,8513830,7676386,4857317,2927174,2927172,4857311,4218010,4218009,6732447,10246616,14902798,20795392,24309350,31826592,24309941,18774376,18774378,18774367,14078030,14078029,19641833,26375132,34252190,38995057,38995056,35131550,27046032,20153565,20153564,27046030,35131546,29381626,22051445,22051447,22051450,22449351,16279831,11320819,7517134,4752061,3015989,3015988,4992246,7864809,11779388,16843764,23100102,30516191,39113443,49043188,60446956,73193432,86547998,72948285,60208561,48811461,48811462,59324921,47933066,47933067,256487926,57677962,46331240,36475763,28015186,20849459,20849460,14949234,14949233,10296368,6769259,6769260,8329616,9084698,6769051,4298936,2570225,1479749,836402,836403,1464447,2541866,3718624,2226753,2226751,2226787,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267672,10267671,10283313,9101605,5955238,5955240,9101612,13285784,12659076,8594945,8594944,12659074,10304385,6776302,6776303,10304387,8584129,254420205,3460746,5577912,6820249,10356118,15028370,13321435,9101487,5955152,5955153,9101490,10395143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657688, s2 = 9668084, dlinesl.size( ) = 2 s1 = 11657688, s2 = 9668084, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657688, Dl.E( ) = 20, 2.31e-05 seconds used appending s1 = 2379713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2379801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7663068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2028282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2028282, s2 = 14887936, int(edited[s2]) = 0 s1 = 2028282, s2 = 14887936, d1 = 6, d2 = 6 Dl.O(d1) = 52710361,59239943,47843069,37923134,29356745,29356746,37923137,37923122,29356736,22026300,22026302,29356740,37923129,47843067,59239942,71977378,85564508,99511371,90517220,76656642,76656643,63572130,51788035,257749961,41511777,32627486,32531123 Dl.O(d2) = 52710361,59239943,47843069,37923134,29356745,29356746,37923137,37923122,29356736,22026300,22026302,29356740,37923129,47843067,59239942,71977378,85564508,99511371,90517220,76656642,76656643,63572130,51788035,257749961,41511777,32627486,32531123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2028282, s2 = 14887936, dlinesl.size( ) = 2 s1 = 2028282, s2 = 14887936, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2028282, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2380446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2380446, s2 = 6587497, int(edited[s2]) = 0 s1 = 2380446, s2 = 6587497, d1 = 24, d2 = 45 Dl.O(d1) = 64616044 Dl.O(d2) = 256282833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2380446, s2 = 6587497, dlinesl.size( ) = 18 s1 = 6688823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656474, s2 = 2380986, int(edited[s2]) = 0 s1 = 11656474, s2 = 2380986, d1 = 10, d2 = 5 Dl.O(d1) = 78273277,65000332,53025698,53025697,42585957,42585954,33569069,25779020,19137887,254868870,42337883 Dl.O(d2) = 64625103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656474, s2 = 2380986, dlinesl.size( ) = 2 s1 = 11656474, s2 = 2380986, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656474, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 13455227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13455227, s2 = 10156450, int(edited[s2]) = 0 s1 = 13455227, s2 = 10156450, d1 = 36, d2 = 38 Dl.O(d1) = 32040717,32040725,40799850,50918611 Dl.O(d2) = 48807234,38884927,30299222,22900656,16670045,11635387,7751453,7751451,8928713,13101302,18443480,22900530,16669965,13101269,13101268,18443444,24961650,29573608,22226619,22226618,22226614,22226613,29573595,23667216,23667215,23667229,25480264,33228830,33107566,25372385,18787862,18787861,23667254,31155008,25479919,18878180,13452963,9200048,6023459,3768311,2257828,1310471,1310469,2257824,3768302,6023448,9200025,13452922,18878117,15881688,11009153,7287930,7287928,11009149,15881682,21976345,29303862,29303847,21976334,15881674,11009145,11009144,15881669,21377361,25480045,18878014,18878013,18878125,18878124,25480181,30299177,25479814,25479811,256646125,42188780,38884877,38884878,42188712,33228357,25479802,25479803,25479770,25479771,33228333,39216011,39216738,30619590,30619588,39216733,33228713,33228708,28613011,28613010,23198158,23198159,30619627,31155028,25480128,25479701,25479700,25479727,27280705,30618961,30619359,30619361,33228367,33228638,30619730,23198238,23198239,23197805,23197808,16929268,16929269,11848664,7919223,7919224,11848669,16929444,23198167,30619208,23198196,16929462,11848676,11848675,16929456,23197757,16929223,11848561,7919164,7919165,11848567,11911490,16997280,23260368,30619017,30619016,39215979,30619106,30505706,23091118,23091119,30505713,30520886,39118629,39216393,39118646,30619310,23197958,16929338,11848615,7919195,5034835,5034836,7919202,11848626,16929357,23197850,16929273,11848585,7919177,7919176,7919182,11848593,16929288,16929315,16929317,23197886,16929298,16929297,23197882,30619203,30619665,30619066,23197788,23197787,30618988,23197735,23197733,30618983,30676509,39216746,39216747,49142760,39216068,39011201,30421763,30421764,30505699,30505700,39102136,30619179,30619178,39216209,49142876,39216347,30619304,23197950,23197949,30619300,23197981,16929349,16929350,16929421,16929420,23197831,16929258,16929257,23197826,23198173,30619639,30619138,23198270,23197817,23197816,23198044,30619459,39216181,39216180,39216229,49142712,39216026,30619055,30619056,39216029,49142670,39215958,30618999,30619000,39215961,48934642,39216072,39216070,49142766,60542558,52332245,41992999,33049634,33049635,41993005,33049652,25321199,18742349,18742348,25321197,33049647,39216521,49143138,43020613,43020614,53500006,65525596,78861629,78861636,65525609,65525610,72939684,60542652,49142889,49142890,49142886,39216219,39216218,30619502,30619503,39216621,49143288,60542985,60450904,60450903,60542798,63865711,63865710,257808694,60542935,60542934,60441828,60441827,70192179,57525001,57525003,70192181,59818880,59818879,52243203,41905967,32966622,32966623,40109929,40109930,50130370,61611032,53499972,43020583,43020584,52046274,63865728,73286378,60542920,60542919,73188793,60441808,58624364,58265733,58265734,70981119,59818856,48432832,38524917,29959595,29959594,30619496,23198064,23198063,30619491,33486466,33486467,42482244,52888837,64810070,73286447,60543033,60543032,73188734,60441805,49143300,49143301,60441847,60441848,60441739,49037742,39107911,39107910,49037740,52087090,63906340,60441758,49037761,49037762,60441763,73188756,71173022,71173023,58450807,47073687,37179885,28660429,21415749,15426065,15426067,21415754,28660439,37179902,47073713,47073769,37180152,37180151,37179831,37179835,257444121,52547591,42188642,42188641,42482016,33486318,25711581,25711582,33486322,42482026,37179925,28660449,28660451,37179917,37179916,47073731,37180064,28660540,21415807,21415808,28660545,37180071,33486227,25711528,19083823,19083822,25711524,33486221,42481895,37179985,28660487,21415774,255479672,15426055,15426056,21415726,25711623,25711624,28660413,21415740,21415739,28660408,37179848,47073617,58450737,52888596,43183230,34098260,28660522,28660521,37180028,47073882,47073780,46209485,36378842,27934418,27934419,36378844,37180212,28660655,21415868,15426123,10664266,10664257,7042978,7042979,10664259,15426108,21415836,28660596,37180137,47073859,52888649,52888648,48094871,47074047,47074048,53694753,268919391,28660584,21415831,21415834,28660591,37180132,37180085,37180084,28660565,28660564,37180093,38022238,37180022,33486167,33236774,33236773,42197241,48094877,42482061,42482062,52888652,52888551,42481962,42481960,46906659,48094873,52888737,52888736,63709981,60237942,48843777,38923374,30337068,30337067,33486331,33486330,42482040,47074030,37180184,28660632,21415858,21415857,28660628,22264879,22264880,29615989,37180201,37180202,42481995,42481996,38022080,38022081,47935789,59327463,60237947,52888718,52888719,48094880,47935798,38022085,38022084,47935796,58271878,46906710,37029436,37029435,38183177,29616023,29616021,33493705,28531285,28531286,29460155,29460156,38022089,36378813,27934402,27934401,36378809,46209455,52046229,52046204,47935776,38022070,29460145,22125756,22125755,29460140,38022061,29460195,22125784,16011334,16011333,22125780,29460187,38022137,38021993,38021992,47935709,47935695,47935694,38022232,38022230,41731456,52046306,52400762,52400761,64256089,59327526,47935928,256674428,32810980,29300913,21973733,15879669,11007828,11007827,15879667,21973729,29300907,37434120,37434121,47341578,58729511,51761419,41490925,40476314,40476312,38183171,36378825,36378823,256560438,48302688,38392468,32810933,32810934,25372456,25372455,24946794,18432022,13092392,13092393,18432024,24946799,25108347,25108503,25108504,25108511,25108510,25372447,18787897,18787898,19130629,18559351,13188170,13188169,18431943,13092335,13092334,18431938,13092419,8921920,8921919,12716319,12716320,17945729,21864160,21864159,29174252,37734891,41731474,32810976,25108484,25108485,32810978,29574658,22227446,22227444,22452824,16283577,11324708,11324709,16283583,22282873,22282872,29635301,24946691,24946692,24946824,19803382,14185069,14185070,19803388,24312224,24312222,22227464,19803403,14185078,9751401,9751402,13971118,18431977,13092354,8921885,5822309,3632196,2169460,2169462,3632201,5822317,8640224,12716327,17945742,24335487,30827530,23399768 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 250789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 250789, s2 = 14284337, int(edited[s2]) = 0 s1 = 250789, s2 = 14284337, d1 = 16, d2 = 19 Dl.O(d1) = 6112322,6112323,9331302,9275629,268750751 Dl.O(d2) = 105944003,272379535,133997478,261450401,159577548,170904153,273634816,181021151,264065147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 250789, s2 = 14284337, dlinesl.size( ) = 2 s1 = 250789, s2 = 14284337, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 250789, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 8078949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8078949, s2 = 9229869, int(edited[s2]) = 0 s1 = 8078949, s2 = 9229869, d1 = 2, d2 = 9 Dl.O(d1) = 50029635,40011041,31332784,31332785,28740685,28740684,23579421,17267648,12147031,12146940,8176758,8176757,5246422,5246420,8176727,8176725,12146882,15342666,21312916,28414683,31063005,25078551,21453457,15454896,14197151,14197148,14368680,12633106,12633111,17309610,16658504,11626036,11626038,254540226,23578131,22606935,254360802,26652708,26652707,254168740,19818728,17122314,12032664,12032665,14091284,14091285,9760472,9760471,14090495,14090494,267895570,10384558,267767240,17309705,17120385,14084969,14084971,17846919,17846920,17875691,17875692,19653916,26388276,21960249,21960248,29286001,22582499,16400086,16400087,22582501,26398493,22610204,22610205,22126084,22126083,19832937,14207571,14207572,19832943,19653459,19653457,22767832,19821146,19821145,26632485,34621774,30172303,30172305,38755080,38256461,38256460,38532977,33374864,256656923,52763233,61836389,50352201,40325225,31635840,24128767,24128766,31635838,40325221,50352192,61836381,50352193,50352195,61836384,65517563,65517554,65517555,254933630,43015784,33958871,26121435,19427558,13900385,13900384,19427557,26121432,33958862,43015771,254933628,78849944,88258842,256663086,50352194,50352195,50352199,40325224,40325223,50352197,61836388,74628617,74628612,74628613,61836387,61836388,74628618,88258845,92956727,92956726,256146550,78849954,78849938,65517543,53494097,43015769,33958864,26121433,26121432,33958862,43015771,254933628,78849944,88258842,256663086,50352194,50352195,50352199,40325224,40325223,50352196,61836386,74628615,78849959,65517562,53494114,43015779,33958868,33958869,254658796,53494111,53494098,43015770,43015771,53494099,53494107,43015775,33958865,33958866,43015776,53494109,53494100,53494101,65517549,78849945,92956719,92956712,78849940,78849941,92956713,88258838,88258839,102257025,116351495,102257022,102257021,102257023,92956715,268149230,65517557,78849955,92956727,92956726,256146550,78849954,78849938,74628616,61836387,61836388,74628618,88258845,92956727,92956726,256146550,78849954,78849938,65517543,53494097,43015769,33958864,26121433,26121432,33958862,43015771,254933628,78849944,88258842,256663086,50352194,50352195,50352199,40325224,40325223,50352197,61836388,74628618,78849958,78849957,78849959,65517562,53494114,254658792,33958868,33958869,254658794,50352197,61836388,74628618,88258845,92956727,92956726,256146550,78849954,78849938,65517543,53494097,43015769,33958861,26121431,26121430,33958859,43015768,53494095,53494119,43015784,33958871,26121435,19427558,254206998,33958866,43015776,53494110,65517557,78849955,92956727,92956726,256146550,78849954,78849938,65517543,53494097,43015769,33958864,26121433,26121432,254450736,53494101,255681074 Dl.O(d2) = 147343998,135686672,256663084,107361691,107361697,92956725,268302178,78849956,255681080,78849960,78849949,78849939,255681072,107361691,107361697,92956725,78849950,65517553,53494103,53494102,65517551,78849948,256146546,121742952,134131588,121742948,121742949,135686675,147344004,134131586,120300732,106100417,259053850,258426746,134131590,121742948,121742949,135686675,147344004,134131586,120300732,106100417,91905447,91905446,106100416,107361696,256663088,134131589,134131590,121742948,121742949,135686675,147344004,134131586,120300732,106100417,91905447,91905446,106100416,107361696,256663088,134131589,134131590,121742948,121742947,116526641,102429512,258740554,61999403,50507838,40472441,31777727,31777725,31777726,26378337,19644453,19644452,22836191,22836192,30227937,30229452,38812224,38810799,38810798,37296954,28763730,21503847,15496121,10716546,7080171,4457661,4457659,7080166,10716534,8276456,8276457,12254977,17390694,19441690,26137805,26378539,21503844,21503845,28763727,37296952,47204136,58594819,71327931,259315441,112818801,126675881,127950661,114070660,100044375,86081891,72484740,59750613,268941054,38466755,40227624,257511206,74506887,61813785,61813786,74605796,88236049,271416129,143498822,156037273,260587272,166072824,262228016,141670940,262205718,100420280,100420279,114444645,128321226,128321227,128321229,128321226,114444644,114444645,128321226,128321227,114444646,100420280,258798767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8078949, s2 = 9229869, dlinesl.size( ) = 2 s1 = 8078949, s2 = 9229869, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8078949, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 9673130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2030496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2382702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9720222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14543398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14543398, s2 = 2382769, int(edited[s2]) = 0 s1 = 14543398, s2 = 2382769, d1 = 7, d2 = 7 Dl.O(d1) = 42385457,52784617,64698537 Dl.O(d2) = 42385457,52784617,64698537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14543398, s2 = 2382769, dlinesl.size( ) = 2 s1 = 14543398, s2 = 2382769, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14543398, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 7920669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7920669, s2 = 9036876, int(edited[s2]) = 0 s1 = 7920669, s2 = 9036876, d1 = 8, d2 = 53 Dl.O(d1) = 33780458,255317978,9113814,5963037,3728881,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311915,9609741,13988722,12515211,8478655,6731971,6731969,10245796,14901560,20793857,26731089,26731088,34750684,36839841,36839840,46722647,256142434 Dl.O(d2) = 261669939,261282126,115260319,101184363,258872596,30885307,30885308,39491555,43378481,43378482,51110066,40967691,37818156,268456648,21931987,254882958,39006818,30417498,255603752,11726335,16772601,16773016,254758740,254346494,15896106,15896105,254232822,37891724,47813506,59212043,71950901,270833384,28453339,21226306,21226305,268609303,46832007,258005562,58920801,58920800,71641992,74551029,61767200,50287418,48468716,38556001,29986448,255483621,268090599,22619092,23656894,22886333,255508237,16715820,22952552,258179867,258718800,256363098,255433532,23658843,31145615,38054168,31328656,254906340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7835508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7835508, s2 = 13522504, int(edited[s2]) = 0 s1 = 7835508, s2 = 13522504, d1 = 48, d2 = 27 Dl.O(d1) = 254303862,2324639,2324638,3881572,2324418,2324413,3807212,3881534,2324418,2324413,3807212,3881534,2324418,2324413,3807212,3881534,2324418,2324413,3807212,3881534,2324418,2324413,3807212,3881534,2324418,2324413,3807212,3881534,3881576,6201351,9298668,6091363,3811262,2283047,2283048,3811264,6091368,9298678,13580335,13580333,13580334,19025916,25643064,33409929,42399058,52798674,64712429,259049705,91822361 Dl.O(d2) = 49083138,49083137,60486664,73233580,86846619,257925390,73233574,86846610,100827795,259801258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7835508, s2 = 13522504, dlinesl.size( ) = 8 s1 = 6786648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8561616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2384303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8085416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164796, s2 = 8148768, int(edited[s2]) = 0 s1 = 14164796, s2 = 8148768, d1 = 16, d2 = 0 Dl.O(d1) = 167302385,262947301,147333082,147333083,159681232,147333077,134120933,120289817,120289816,120289820,106089446 Dl.O(d2) = 52855273,268753457,268148949,268196318,2288121,2288122,254450393,6789491,4256584,2544678,2544679,4256585,4229680,4229679,4273057,6771092,6771091,9065075,5927456,5927458,5382982,3310186,3310187,2542908,1465041,829029,829031,1465045,2542914,4253639,4301584,6750729,10272449,9088544,6776424,6776426,9095153,5950298,5950297,9095148,13314427,10354946,10354947,14949919,20850228,14966465,10298811,10298812,9089768,5946416,3718649,3718650,2542953,2542954,4253703,5956104,5956106,5931968,5931969,6838668,4290829,4290828,2565476,1477266,1477264,255008805,20962235,21452600,21452598,28241487,21042718,15114838,12906921,8779952,5718317,5718316,8779949,12906914,15453471,21451769,22270855,16129339,11204524,7434607,7434608,11204529,12182350,12182351,17305190,21452108,15453727,15453726,21452107,28706706,32254721,24655180,24655181,21452066,255836623,24655178,18197037,18197036,24655174,32254710,39149083,39149084,31104381,23619466,17305169,17305170,23619468,28706679,21452089,15453715,15453714,21452086,18196955,18196956,24655061,25456727,18857613,18857614,25456730,33203797,37237127,37237128,47142213,51203984,51203791,41047616,32254347,24654899,18196840,12906861,12906862,18196844,24654909,26158676,32254646,24655114,24655115,24654920,18196852,12906867,12906868,18196854,24654924,24655159,32254695,41048023,48602027,47695063,47695062,51204103,62853356,59107024,59107023,58530302,58530301,51203749,41047576,32254315,32254314,41047574,51203744,50389392,40354544,31659606,24149206,24149207,31659608,40354549,50389398,58531185,58530492,47142274,42718103,37773670,29211734,29211735,35309943,27190156,20265992,14540447,255340089,27190147,35309927,44729482,55627549,57850918,49041137,39111412,39111413,49041140,42718051,42718052,53167653,46766740,36888511,28391639,28391640,36888514,46766745,51203837,51203969,58000706,46624603,46624604,47142255,58530475,53167754,53167753,53167838,53167837,51203973,51203974,57617992,53167742,53167741,65152197,65152386,257114200,268504455,19222696,13731481,13731480,19222692,25882020,27190097,35309856,33688079,27189943,27189942,256286270,53167910,256824388,55627671,44729598,35310008,27190224,20266028,14540462,14540463,20266030,27190226,35310013,44729602,35310012,35310013,44729603,49091162,60494423,67391565,55060704,55060703,61894478,61894477,64402772,68142786,60494434,49091177,44729709,44729710,44793952,37185925,37185924,47081197,49100707,49100705,60504921,50387351,268293936,61815608,50332076,50332075,61573650,50093834,40072864,31391104,23896171,17550407,17550406,23896170,31391101,40072856,39103623,39103622,49033112,256121760,33211789,31617720,24112477,17751892,12560452,8515909,5514031,5514032,8515916,12560463,17751919,24112513,31617789,27286723,20351594,14608131,14608130,20351590,24112417,31617616,40305893,50331973,60494556,61815545,50331983,41192871,32374121,32374122,32374147,24755347,18280080,18280078,24755342,256593839,51383615,63072595,63072647,73242520,73242521,74551050,61767221,50287448,50287449,44728457,256698872,52647769,50395892,50395893,61886324,74350466,68142851,55744975,44837142,44837141,55744974,68142786,55744857,55744858,49033116,39103623,30507104,30507105,39103625,49033121,46761842,46761843,47793370,47793371,59047215,53505880,48000797,38089002,38089001,42254909,268494319,25514927,29810031,38382208,48292970,41415711,32556745,24906278,24906279,32556844,41415823,32556840,24906276,24906277,32556842,32556800,24906252,24906251,32556798,39913935,39913934,49932140,61410712,74189719,65545389,65545390,78434150,84112059,72415264,59679947,257462915,37448412,28908954,21634539,255045437,7131564,7131565,10794196,8906968,5812410,3625708,3625705,5812404,8906954,13070946,18402131,24906164,32556682,41170256,43300787,34202698,26329348,26329347,34202696,43300785,51657230,51657231,53825858,47418798,47418799,51333276,63014153,63022375,51341542,51341541,43300792,34202702,26329352,19601807,19601808,15611568,10801058,10801059,15611569,16505255,11501176,7650196,4840276,2916762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164796, s2 = 8148768, dlinesl.size( ) = 2 s1 = 14164796, s2 = 8148768, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164796, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 9705498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9705498, s2 = 14163919, int(edited[s2]) = 0 s1 = 9705498, s2 = 14163919, d1 = 1, d2 = 1 Dl.O(d1) = 63951416,77065795,90949089,84086591,70549688,57847621,46491478,46491477,57847620,64083061,52864151,42460319,42460320,52864154,64783371,77977597,77977601,64783375,52864156,42460321,42460322,52864158,64783373,77977599,91902067,106097200,120297755,114291862,111629196,111629197,114291867,114291868,128174935,138727938,147341369,147341370,147341376,145851239,132630955,132630956,145851241,158221897,169599624,169599662,158221963,145851329,132631060,118811933,104631036,90467148,76608751,63529175,51750872,51750871,63529174,258361447,51750866,51750865,63529164,76608739,76608760,63529179,63529178,76608756,90467153,104631042,118811860,132630963,132631037,145851244,158221901,153042030,140344066,126989835,126989836,140344068,137484748,123759499,109568291,95311470,81250556,259169717,109568290,100708758,86734277,257765554,7850802,4983313,3010267,3010266,4983358,7850912,11758704,16815604,23064387,30474715,39066535,256733141,26792122,26792121,32674142,257164713,63651686,76743441,86176736,100141293,114173090,104780115,90609133,90609132,104780113,118971350,259921793,98612112,84687365,84687364,84687366,71122989,58405166,256861977,28630494,21391827,15407098,10649432,7031627,7031626,7105355,10754855,15550143,21573056,28673237,28673239,37195571,47091354,257159358,31095102,31095103,39773468,47032854,47032853,256321829,21391826,21391825,28630491,37144197,47032893,38079722,29515225,29515228,38079726,47992449,46519534,36652517,28176768,28176767,36652515,46519532,258016175,57826380,57826381,57826382 Dl.O(d2) = 63951416,77065795,90949089,84086591,70549688,57847621,46491478,46491477,57847620,64083061,52864151,42460319,42460320,52864154,64783371,77977597,77977601,64783375,52864156,42460321,42460322,52864158,64783373,77977599,91902067,106097200,120297755,114291862,111629196,111629197,114291867,114291868,128174935,138727938,147341369,147341370,147341376,145851239,132630955,132630956,145851241,158221897,169599624,169599662,158221963,145851329,132631060,118811933,104631036,90467148,76608751,63529175,51750872,51750871,63529174,258361447,51750866,51750865,63529164,76608739,76608760,63529179,63529178,76608756,90467153,104631042,118811860,132630963,132631037,145851244,158221901,153042030,140344066,126989835,126989836,140344068,137484748,123759499,109568291,95311470,81250556,259169717,109568290,100708758,86734277,257765554,7850802,4983313,3010267,3010266,4983358,7850912,11758704,16815604,23064387,30474715,39066535,256733141,26792122,26792121,32674142,257164713,63651686,76743441,86176736,100141293,114173090,104780115,90609133,90609132,104780113,118971350,259921793,98612112,84687365,84687364,84687366,71122989,58405166,256861977,28630494,21391827,15407098,10649432,7031627,7031626,7105355,10754855,15550143,21573056,28673237,28673239,37195571,47091354,257159358,31095102,31095103,39773468,47032854,47032853,256321829,21391826,21391825,28630491,37144197,47032893,38079722,29515225,29515228,38079726,47992449,46519534,36652517,28176768,28176767,36652515,46519532,258016175,57826380,57826381,57826382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9705498, s2 = 14163919, dlinesl.size( ) = 2 s1 = 9705498, s2 = 14163919, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9705498, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 535613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6663568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2036164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354028, s2 = 2665673, int(edited[s2]) = 0 s1 = 10354028, s2 = 2665673, d1 = 75, d2 = 18 Dl.O(d1) = 269338001 Dl.O(d2) = 75631579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7606115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8000595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6656726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9158684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2722671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2038281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8235980, s2 = 4214777, int(edited[s2]) = 0 s1 = 8235980, s2 = 4214777, d1 = 42, d2 = 24 Dl.O(d1) = 256910062,30099893,30099894,38677449,30195252,22804369,16586857,14124351,9717304,6392641,6392638,6151789,4011789,4011788,6392670,9717374,14124493,19699319,26438687,34317467,256507516,55700570,58230221,55318668,44472642,43418055,43418054,48083807,48083809,43414600,35368263,27244350,20313030,14577600,254697303,6592481,10030997,14577597,20313016,27244332,29706872,38273558,40810098,44473516,39977637,31302849,23816127,17481314,12325298,8325744,8325746,12325302,16841253,17970004,12734798,12734799,17970007,19249994,19249993,13754869,9425210,9425209,11014517,11014518,15889112,21985336,23753946,23753944,25912959,19251024,19251025,19345657,19345658,26021165,33718198,33718197,42747529,34168013,26299997,26299996,33840712,33169769,25427409,18833973,13418916,9174833,6005011,6005012,9174836,13418920,9362592,6132699,6132700,9362596,13671981,19147354,268922188,53059894 Dl.O(d2) = 160093777,262785830,260681660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8235980, s2 = 4214777, dlinesl.size( ) = 44 s1 = 6763919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6763919, s2 = 888926, int(edited[s2]) = 0 s1 = 6763919, s2 = 888926, d1 = 20, d2 = 7 Dl.O(d1) = 258194286 Dl.O(d2) = 22677573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6763919, s2 = 888926, dlinesl.size( ) = 2 s1 = 6763919, s2 = 888926, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6763919, Dl.E( ) = 46, 3.91e-05 seconds used appending s1 = 8271661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8271661, s2 = 14543772, int(edited[s2]) = 0 s1 = 8271661, s2 = 14543772, d1 = 5, d2 = 7 Dl.O(d1) = 36465533,36465534 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8271661, s2 = 14543772, dlinesl.size( ) = 2 s1 = 8271661, s2 = 14543772, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8271661, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 2390172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2390172, s2 = 7128676, int(edited[s2]) = 0 s1 = 2390172, s2 = 7128676, d1 = 27, d2 = 50 Dl.O(d1) = 65046397 Dl.O(d2) = 262956151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2390172, s2 = 7128676, dlinesl.size( ) = 26 s1 = 2391243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2391243, s2 = 11449998, int(edited[s2]) = 0 s1 = 2391243, s2 = 11449998, d1 = 9, d2 = 13 Dl.O(d1) = 65070928 Dl.O(d2) = 186961241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2391243, s2 = 11449998, dlinesl.size( ) = 26 s1 = 6625949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8105722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8105722, s2 = 13231692, int(edited[s2]) = 0 s1 = 8105722, s2 = 13231692, d1 = 8, d2 = 6 Dl.O(d1) = 433855,245278,245281,434341,763517,1336688,254305089,6143551,9378045,13693583,19175852,25827683,33629750,42658739,53110590,65097365,65097370,65097371,78381088 Dl.O(d2) = 441963,779082,1368039,2362547,3945998,6298634,254952559,19517397,26233629,34095911,43180223,53691059,64813285,52892154,257221065,33489702,25714615,19086385,255305732,9580548,6288680,3939021,2358066,1365384,777733,441323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8105722, s2 = 13231692, dlinesl.size( ) = 12 s1 = 14164360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6786470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6786470, s2 = 15250575, int(edited[s2]) = 0 s1 = 6786470, s2 = 15250575, d1 = 59, d2 = 60 Dl.O(d1) = 258441045,65119987,65119983,53134475,53134474,65119984,78402375 Dl.O(d2) = 106743682,120996231,272402893,120996227,259698139,78402377,271078295,78402377,65119988,65119989,259069437,106743681,120996229,134792234,141188760,261473175,134792236,127826588,113946896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6786470, s2 = 15250575, dlinesl.size( ) = 58 s1 = 2393743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2393743, s2 = 13204972, int(edited[s2]) = 0 s1 = 2393743, s2 = 13204972, d1 = 1, d2 = 13 Dl.O(d1) = 65132557 Dl.O(d2) = 1214557,1214560,2108498,3541682,2185237,2185236,2235705,2185254,2185252,3653758,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702257,13355073,13355074,10921496,10921497,15428427,17941794,17941792,21444930,22328860,16182685,13353374,11128175,11128174,13364947,12795726,8699491,5662559,3521770,3521773,5662568,4725012,2846901,2846900,4442230,2762942,2762941,4592389,7282093,11000738,11003890,7284324,7284322,8699395,5662509,5662513,5856036,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648338,5624903,5624902,5977387,9134213,13365390,13817293,9475823,6213145,3888890,3888887,6213140,9133041,5976678,5976679,8970310,8970309,13160199,16042858,12716521,12716520,17945978,18521779,14422404,14422403,15360730,13715319,13715318,10822700,8750387,5697112,5697113,8750391,12866917,13713503,18090994,12825974,12825973,17956097,12724310,12724311,13350042,9122320,9122321,12858318,8970875,8970187,8970183,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,254729779,8714228,11001101,11001100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6786624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6786624, s2 = 9390471, int(edited[s2]) = 0 s1 = 6786624, s2 = 9390471, d1 = 11, d2 = 6 Dl.O(d1) = 258442237,53159716,256675647,25873948,19215216,13725156,13725157,19215218,25873051,30299737,30299738,25873884,25873882,19273216,13776464,9444834,9443895,9443894,9444727,9444726,13776141,13776293,19272994,15440023,10674335,10674337,13061480,11216734,7442490,6191438,3874829,2320380,2320381,3874822,6191427,9444617,13776131,11216653,7442446,7442445,11216646,16145366,22289309,19273263,18402543,13071222,13071221,18402548,24906716,25873723,21962474,18387704,13060952,8900190,8900191,13060961,9401529,6159531,6159529,9401518,13724449,9401389,9401388,13724445,13061509,8900503,8900502,9444824,9444823,9443713,6190921,6190923,6159505,6159506,6191513,3874895,2320410,1345170,767707,436430,436431,767712,1345184,2320437,3874945,6190864,6191212,9444246,13775616,13775972,9444494,9444492,13774758,9444407,9443731,9443553,9443552,13774542,19270702,19271504,13776431,9444812,9444810,13775659,13775081,9443905,6191042,6191043,9443910,13774864,9443759,6190952,3874585,2320242,2320243,3874591,6190966,9401487,9444002,8900377,5807907,5807908,8900385,6191106,3874660,2320289,1345095,1345085,1345086,1345129,2320344,2320219,2320220,3874536,6190848,6191031,6191073,9443975,13775177,19271543,18388738,17415639,12274854,12274853,13776546,9444876,9444878,13061018,13061017,8900470,8900308,8900307,13061187,18388089,18388148,24887584,19272058,13775539,13775540,13775545,13775547 Dl.O(d2) = 13061705,18388820,24887656,18388210,18388209,13775375,13775320,13775322,18826347,13774798,13774800,19271087,19214479,13724623,13724622,17415656,18388357,18387868,18387762,13060987,8900211,8900210,8900287,8900285,13061134,9443990,9443989,13775193,19271576,16133676,16133675,19272304,19272307,24887554,18388121,13061201,13061200,18388114,18387992,18387994,13413677,13413676,18826842,25409984,25409983,18826438,16132952,16132951,22275587,16834323,16834324,11772437,11772440,16834395,23087856,23088162,23088117,16834502,16834501,23088130,23088093,23088092,30501892,39097861,30502064,23088225,16834556,11772522,7859848,7859849,11772527,13061125,18388003,19271566,18387576,13060870,13060868,16834524,22276548,29628445,27019763,20128607,14436501,13413592,9171286,9171288,13413517,9171346,6002754,6002751,9171335,13413672,16834335,16132966,16132963,22275599,29627289,32034076,24471580,24471579,25873947,25873946,33680048,42710023,53159714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6786624, s2 = 9390471, dlinesl.size( ) = 2 s1 = 6786624, s2 = 9390471, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6786624, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 1268699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9461620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157069, s2 = 15604119, int(edited[s2]) = 0 s1 = 15157069, s2 = 15604119, d1 = 70, d2 = 67 Dl.O(d1) = 152935950,140246491,126899333,113046725,99059174,85134804,71564673,58837469,47451368,256838918,28998005,21713130,21713129,16676532,11640403,7754989,4911354,4911353,6162896,7754984,7754982,11640382,13731192,255285517,25881517,33687880,42717895,53167508,65151962 Dl.O(d2) = 228204986,226361688,224245622,221805086,218960017,215588929,211510027,206518371,200478462,193326384,184992660,175449068,164691377,152855611,140161969,140161970,140161972,126811912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157069, s2 = 15604119, dlinesl.size( ) = 2 s1 = 15157069, s2 = 15604119, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 15157069, Dl.E( ) = 82, 4.2e-05 seconds used appending s1 = 2043598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2043598, s2 = 10180112, int(edited[s2]) = 0 s1 = 2043598, s2 = 10180112, d1 = 0, d2 = 93 Dl.O(d1) = 53169395 Dl.O(d2) = 133822946,119955202,105719342,91494851,77563741,64395452,52521607,42163418,33203473,33203472,257199655,64394683,77562893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2043598, s2 = 10180112, dlinesl.size( ) = 18 s1 = 1025695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1025695, s2 = 13211888, int(edited[s2]) = 0 s1 = 1025695, s2 = 13211888, d1 = 56, d2 = 48 Dl.O(d1) = 25894412,33700417,42730215,53179600,65164231,78447107,92484469,106791819,121047553,106791823,92484465,78447105,65164230,53179598,42730214,42730215,53179600,65164231,78447107,92484469,92484462,92484463,106791821,121047556,134847496 Dl.O(d2) = 18678050,18678051,20823707,20802562,14908564,14908565,20802563,20957541,20957540,20934922,17764048,17764049,254324712,15598127,15598128,21629092,28900427,30207171,30106518,28720487,26142745,19445586,13915075,9550422,9550423,9550438,13915101,14601363,15587336,14936506,14936507,11516705,7660917,4847000,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920584,4846814,7660545,11516097,10261901,10261900,9069239,5930361,267928321,13286061,11870797,11870798,16514664,11509132,11509131,255490563,24378737,24378736,20891535,14987846,10319351,6789057,6789058,10319353,14987849,16214661,14406360,12208662,254710104,15887233,21982974,28062027,36527963,46387867,57737707,70432019,83958540,78622237,78622238,78622236,257475508,42865896,33824887,26007352,26007353,31383138,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415860,9757570,14193925,19815281,23470020,17626974,12447224,12447223,17626969,21447048,28698920,37224763,35081092,26996252,20105226,20105196,14415315,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,20105114,14415259,9914143,9914144,13562465,9285700,9285698,13562458,9356249,9356250,13662716,19134377,25774692,33564195,33701821,42731551,34000276,28327910,21117735,21117736,28327912,25712013,25712014,23374714,17105382,12019591,12019592,17105385,23374719,26151398,26151397,33992854,36823848,28328248,22835241,22835243,21118458,16614110,15171554,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29321490,25769581,19129707,13658873,9353259,6126469,6126468,9353273,13658907,19129770,21992971,15895459,15895461,21993598,25465709,25465707,28327841,28327842,23577447,17265809,12145366,9344897,9344896,13646961,15171708,21118672,16475539,16475538,15140747,10442613,10442614,15140749,17105454,19459427,21088449,15148040,11019036,7294719,7294714,10437943,9559415,6272472,6272470,9559376,13927434,13927197,9559253,9559252,13927215,19461057,26161034,33965891,29321135,26158299,19458808,13925694,9558406,9558407,13925701,19458818,21570016,19123724,19123723,17386817,12252120,12252121,17386823,21989656,19461268,19461267,21990711,26901457,20019069,14338087,9850201,9850199,14338079,20019061,26901449,23320053,19149289,19149287,25794696,24074300,17717760,17717761,24074302,18117202,18117201,21482657,15479170,14195948,14195947,19818143,21927564,15841198,15841199,21927572,25323646,33052153,35035985,26956014,26956013,34270055,26394071,19659768,19659769,26394072,26384143,22801131,16584150,11564544,7697226,7697224,8578197,5573760,5573761,8578340,12634274,14213060,9770820,6424224,4030314,2415149,2415150,4030317,6424236,9770849,14092255,14092252,19660140,26394429,30821214,30191107,254785098,29952861,23311688,23311689,19818702,14196392,11431022,11431023,16415053,11627078,11627077,16659575,22888335,30286132,23766535,17438589,12292306,8301894,8301895,12292307,15899831,21999289,22892896,26959094,22202324,21838155,21838154,17117337,17117338,23389145,30818377,39423473,49353153,58121754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1025695, s2 = 13211888, dlinesl.size( ) = 2 s1 = 1025695, s2 = 13211888, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1025695, Dl.E( ) = 58, 1.72e-05 seconds used appending s1 = 3456947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2395450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13731531, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2044636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8169232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8169232, s2 = 12260556, int(edited[s2]) = 0 s1 = 8169232, s2 = 12260556, d1 = 5, d2 = 6 Dl.O(d1) = 99396861,258415202,29247416,33323600,25562096,25562097,255406676,23967790,17617767,12435804,12435803,255572791,23701329,17563282,12392122,8374410,8374411,7034057,4425376,4425375,254238326,3785248,6048987,9235909,10526462,10526461,12403571,17564078,18947195,13510457,9244270,9244272,8112833,5197582,5197583,8112837,9244263,9244262,13510450,11825117,7902716,6054845,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287477,12272630,17414041,16650247,16650246,12671204,12402441,10017183,6583999,6583998,9711197,8378742,8378744,12398201,17570064,17546503,17546502,23892826,31388892,268997203,55417552,55417553,257319896,84568068,257919266,58288858,46923185,37045235,37045236,46923188,58288862,71003998,58288848,46923178,46923177,58288846,71003996,84568060,88163563,74548680,74548679,74231619,74231618,87836307,101809995,88163581,74548703,61765065,50285407,40264367,40264366,50285404,61765062,74548699,88163578,88509424,101725102,87752567,87752566,74548698,61765060,50285402,50285401,61765058,74548696,257703512,102154563,101725111,87752573,74148367,74148351,61368029,61368030,74148353,87752563,258314498,102154559,257118872,74548693,88163572,101725105,106823103,92511527,78471906,65187825,65187824,256568792,78471897,65187811,65187812,74873495,74548688,74548689,74548717,74548718,74548700,61765063,61368041,49887500,257637945,61368028,74148350,87752559,78471899,65187814,65187813,78471898,92511516,101725107,101725108,112321737,98338983,98338984,101725120,101725119,92511537,88509434,74873504,74873503,88509431,99363760,85421193,71833566,258720199,65187841,53202756,53202758,257118870,256059772,42753665,33724354,33724355,33724356,33724357,42753668,53202744,65187821,53202768,257827939,65187873,53202789,53202790,65187876,70872059,78471891,89606551,78471944,257705570,33724377,33724376,255607068,268270450,36913082,46790676,258032107,65187836,53202783,42753693,42753692,53202779,53202787,257705572,75546136,256999114,40850860,40850861,50985630,62608063,65187797,78471875,259434616,78471881,257705564,92511509,92511507,92511508,78471886,78471887,92511513,78471937,65187858,65187859,65187864,257120974,258316682,106823085,106823084,121082952,131312393,121082968,106823097,92511501,78471878,78471877,92511499,106823093,121082965,134885017,141887226,257120962,114639388,257705560,103391676,103391677,117516556,259568976,117516547,103391672,103391673,117516553,106823086,106823087,257705566,269435204,121082975,106823109,106823110,117516534,106823090,106823089,121082958,121082984,121082985,134885031,257705578,257705576,141776030,141281882,128423678,128423679,134885018,148005276,153954190,141281902,127920334,258942156,260184398,134885024,270962176,144428017,131197768,130127036,116216062,102154582,88163603,74548726,258901969,102154576,116216055,130127030,260184392,100011494,86048081,72449210,72449209,86048079,100011491,114038896,127920341,141281898,127920331,117394890,117394889,131197740,141281913,127920343,114540834,100510793,100510792,114540831,259568974,154422474,154422473,153954186,141281886,141281887,141776037,128423693,114540846,100510799,100510798,114540842,128423685,116216051,116216050,114540823,114540822,128423664,141776012,260781704,127920336,127920335,128423668,114540826,100510790,100510791,114540829,128423674,128423677,141281892,127920324,258942160,128423689,128423706,272315068,135749387,128423698,114540850,114540852,128423700,114540945,114540946,128423762,141776069,148987803,148005277,134885021,128423705,128423704,133395933,119536614,271978759,146639330,159001946,261351512,144427999,146639337,146639338,141776016,128423671,128423672,141281895,127920327,114038884,100011484,86048076,259393767,114038881,127920321,258942158,128423696,128423697,260046125,260046123,128423707,141776041,141776045,154422472,146639331,146639332,159001949,260781706,145887651,141776060,141281894,127920325,258942162,119536612,114540944,260646155,261768471,141776047,154422478,141776028,128423688,128423687,261768467,166159050,166159055,154422484,261221913,114540878,114540879,128423729,114540904,260234134,72949873,86549094,100510848,114540906,261221909,114540866,100510813,86549074,72949855,60210933,48815048,48815049,60210935,258805583,100510818,114540871,114540859,114540858,128423710,141776043,132673633,118859136,104681363,104681364,118859137,128423726,119909348,119909347,133777736,128423753,114540933,100510874,86549115,86549098,86549097,100510854,86549110,86549111,100510868,111608747,97690293,86549113,86549114,100510872,114540894,100510838,258805587,72949867,86549088,100510835,114540892,128423734,260830150,114540913,100510876,100510875,100510851,258990646,60210944,48815054,38893794,38893795,48815056,60210946,72949876,86549100,100510855,105673881,91450494,77520864,64355489,64355488,72949885,60210950,60210952,258805589,100510880,114540942,128423757,123685217,114540890,100510859,86549104,72949880,60210948,48815058,38893797,30308143,30308144,38893799,48815062,60210956,72949896,86549133,100510904,109347464,95093472,95093471,86549145,86549143,100510910,258990642,119483307,133342546,260234130,128423744,128423745,259617714,260234138,114540972,114540973,128423746,119483300,105258740,91049003,91049004,105258742,119483302,128423774,141776071,259617716,114540960,100510902,100510901,258363978,86549137,270488950,91049007,91049006,105258745,119483306,133342544,146588030,271964652,146588032,133342547,119483308,119483309,259617710,128423770,114540958,104681370,104681371,118859142,105906725,105258747,91699415,77771966,64589183,64589185,77771968,259669487,77772034,64589273,257455524,33321299,255842422,13510002,9243927,9243928,13510006,18946644,25559391,33321319,42302013,48815065,42301967 Dl.O(d2) = 42301982,258415551,64589204,64589286,52688787,52688702,52688701,64589190,67720169,64589199,258415549,86549162,86549161,72949910,72949909,86549159,258182135,48815071,270297518,48815075,48815074,60210975,72949926,86549183,76919847,76919848,90794538,91699419,105906691,91699447,259317598,77772041,91699460,86549169,72949916,60210968,60210962,60210963,72949908,86549157,100510925,271309502,258690730,64589252,72949923,72949922,86549177,100510938,105906715,104970788,90794540,76919850,63813132,63813133,259001561,104970795,119164125,132997336,146229316,141776102,141776103,147182438,261998692,258805593,72949905,259429595,114540980,260046139,260046137,128423796,141776095,139557058,126182038,112321724,98338973,84429403,84429404,98338974,112321725,261394656,127950475,258986178,100044169,112321730,112321706,98338962,98338961,112321705,98338963,84429396,70872035,258656719,98338967,98338980,84429409,70872054,58158046,46790667,36913077,28415393,21193560,21193561,28415395,256843743,58158048,270284537,95219889,258534773,67697470,258656717,58158031,46790656,46790657,58158033,70872037,70872044,58158039,46790663,36913073,268610140,10506002,10506003,15230050,21193563,28415397,268913651,55357525,67697466,81163272,70872024,70872023,81163276,95219890,259902929,84429401,70872039,257422417,36913070,255815657,21193559,28415391,36913066,46790649,58158021,70872019,81163274,67697468,270138183,259791215,259923335,84718362,270808231,81185278,259165677,109493743,109493745,109493744,112321699,126182015,126182014,126182013,139557030,144945514,131697165,131697164,144945513,157358912,144945511,144945510,261860058,144945508,144945509,262835680,131697163,117869534,117869535,103715242,89599467,75817463,62854248,62854247,75817461,89599463,103715234,117869538,131697170,258288140,115868798,129768089,116418264,102325724,88329916,88329917,87848469,74244065,74244064,87848466,259535488,87848473,74244077,61465622,49988311,49988310,39972497,39972496,257646869,74244071,87848481,260117481,269885048,74244067,74244069,61465618,61465619,61465613,49988300,39972491,31298347,23812533,17478616,17478617,256013113,39972501,49988319,61465631,74244083,256547334,101822466,87848485,74244079,61465626,257678894,61465623,269871687,255588096,49988318,39973609,31299267,31299268,39973610,256040486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8169232, s2 = 12260556, dlinesl.size( ) = 2 s1 = 8169232, s2 = 12260556, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8169232, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8263657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8080023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6501969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6501969, s2 = 5581240, int(edited[s2]) = 0 s1 = 6501969, s2 = 5581240, d1 = 150, d2 = 23 Dl.O(d1) = 255288434,16090418,11175356,7414495,7414496,11175358,16090420,19580671,19580672,26303558,28695318,34171420,26303572,26303573,29570023,29570022,38136215,48049668,255288436,53231424,256679695,256679697 Dl.O(d2) = 219909149,265438949,224975683,265761075,228782726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6501969, s2 = 5581240, dlinesl.size( ) = 2 s1 = 6501969, s2 = 5581240, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6501969, Dl.E( ) = 156, 5.79e-05 seconds used appending s1 = 13368235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6626778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6626778, s2 = 8598529, int(edited[s2]) = 0 s1 = 6626778, s2 = 8598529, d1 = 63, d2 = 99 Dl.O(d1) = 256680100 Dl.O(d2) = 160328282,261479833,134960350,148083715,160328285,171532418,181532779,171532420,160328286,273722130,106882440,271585137 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2047044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2399124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2400483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15672354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15672354, s2 = 8431663, int(edited[s2]) = 0 s1 = 15672354, s2 = 8431663, d1 = 84, d2 = 77 Dl.O(d1) = 273282633,170394250,159058005 Dl.O(d2) = 260922297,107060653,271590585,78658631,65355196,258452937,78658632,65355196,53352775,42888056,33844240,26024243,19348147,19348148,268509841,42888061,53352785,50255318,40235986,40235987,256408670,28610009,37120279,46631210,46631211,47678902,37756693,29195370,21883303,15807279,15807278,21883301,29195369,37756690,42115396,42115397,42115407,52467996,270515235,270004362,53692556,43181321,43181322,53692557,50013327,49220385,259049406,268452486,32870940,25163455,18605602,13223544,13223543,9015150,5885804,5885803,254423828,8819221,7156674,4507263,2708455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15672354, s2 = 8431663, dlinesl.size( ) = 32 s1 = 6792601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6787658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6787658, s2 = 14544292, int(edited[s2]) = 0 s1 = 6787658, s2 = 14544292, d1 = 6, d2 = 6 Dl.O(d1) = 258453340,53358668,42893027,33848542,26027847,19350971,13839800,13839799,19350967,21838017,18634833,267806298,5905262,3689868,254091874,1281171,732526,732524,1281168,254144388 Dl.O(d2) = 258453340,53358668,42893027,33848542,26027847,19350971,13839800,13839799,19350967,21838017,18634833,267806298,5905262,3689868,254091874,1281171,732526,732524,1281168,254144388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6787658, s2 = 14544292, dlinesl.size( ) = 2 s1 = 6787658, s2 = 14544292, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6787658, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14544291, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6627291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7948192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6580052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6580052, s2 = 1702198, int(edited[s2]) = 0 s1 = 6580052, s2 = 1702198, d1 = 5, d2 = 15 Dl.O(d1) = 256181074 Dl.O(d2) = 43210870,43210869,53722745,65779405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6580052, s2 = 1702198, dlinesl.size( ) = 2 s1 = 6580052, s2 = 1702198, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6580052, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 9443468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9443468, s2 = 9693168, int(edited[s2]) = 0 s1 = 9443468, s2 = 9693168, d1 = 201, d2 = 216 Dl.O(d1) = 28140262,28140263,34257577,28140266,28140265,36613905,36613893,36613892,40659550,31936038,24398158,24398159,31936041,38796463,38796462,48717644,268034262,38796452,48717621,41216390,254925322,21515607,21515606,28778409,24398156,24398155,28234789,36613883,42914133,254463384,28234785,36728883,46616682,40659549,40659548,31936062,24398171,17995363,17995362,24398170,28140264,254669222,34257568,43357444,43357439,34257564,34257566,38796487,255293492,22820253,30212214,38796486,48717662 Dl.O(d2) = 139929412,147905090,134786631,120990092,106737212,259172468,42674874,256673785,25842357,19188492,13704104,13704105,255618025,32247496,41040047,38401374,38401376,48312095,40261357,40261358,50282191,40543566,31845435,31845434,31574380,31574379,39268332,30672134,23256160,16992821,16992820,22461052,22461051,29828335,38400624,40543543,31845407,31845408,40543544,48311858,268002244,29346992,22014976,15913379,15913378,22014973,17937701,17937703,24325644,268923587,28807277,23257804,23257803,30673834,24325637,17937699,12710066,8635450,8635451,12710070,17937705,24325646,31845426,256539920,18227102,18226937,18226936,24325627,24325626,31845405,24325659,24325660,18526547,268288759,32470262,31845428,24325649,24325648,18094701,18094700,21540190,28807283,29346795,32309593,255621077,254629267,5728750,8794849,12928313,18227099,24696305,18227044,12928270,12928269,18227043,12928291,12928290,18227075,12928305,12928306,18227090,24696349,31511682,31059710,31059711,39737874,255029132,40397200,41122606,33691011,33691012,37031445,28533489,28533490,32309417,32309418,33691058,25884510,19224851,13733279,9408252,6164137,3857029,2310778,2310779,3857030,6164141,9408259,13733295,19224880,25884472,25884498,25884517,31845403,24325624,24325623,31845401,38400662,33691053,33691054,33691036,33691038,30444857,29828388,22461121,16293243,16293242,22461119,19224863,19224864,25884535,268639813,16293244,15339575,10594982,10594981,15339574,19224833,254940961,9408232,6164125,6164124,9408229,13733247,19224806,25884436,33691001,33691092,25884545,19224871,16293132,11336089,11336090,16293134,22460986,29828266,254729238,13733256,13733255,19224821,255029090,29828255,22460977,16293129,16293130,22460980,29828260,29829175,255824664,19224904,13733309,13733310,16293263,15410544,15410545,255831841,37151048,37151051,37151052,41294838,41294839,33691118,33691119,28532108,261092247,259873804,256815166,255790100,255364652,255523912,8737458,8737457,12848895,18120660,24554872,25245465,25245466,32967445,40916677,36648178,28172589,23826553,17489074,12331117,8330084,8330083,12331115,17489071,18117570,18117569,12846991,8736351,8736352,12846993,12847431,12847432,16789127,11739251,8737031,8737030,12848199,268272733,254847922,41742585,32821565,25117458,18566634,15655112,15655114,21695394,28977973,37521818,37521740,28977915,21695365,15655098,10836082,10836081,15655096,21695359,28977909,37521727,41908589,47330492,47330491,39890138,39890137,44519800,44519801,40926680,32149125,32149124,32806041,25103996,25103997,23653379,23653380,31140913,39823636,39846663,31164644,23676353,23676351,31164642,32149256,40196691,32469017,24829640,24010704,17663797,12490774,8460034,8460036,12490782,17663810,24010734,31164972,23676676,17356612,12226995,12226994,16811694,16811693,18676263,13283467,9067029,9067031,13283473,18676274,25247035,28792303,28792302,37329379,255056024,22788091,16572213,11553221,11553222,16572216,22788093,30176859,38759898,48681543,42910646,33865061,33865062,42910647,257838125,44469744,44469743,44469651,35093197,27007071,20115896,254976395,6522098,4086555,4086550,6522083,9923458,14426054,20115830,254925358,44469648,41315285,32469849,24830365,18336937,18336935,24830357,32469842,33448194,39506704,37523216,255711882,15656485,15656482,21696731,28979306,37523209,47430721,58817082 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 2402249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8275653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8275653, s2 = 14172325, int(edited[s2]) = 0 s1 = 8275653, s2 = 14172325, d1 = 0, d2 = 0 Dl.O(d1) = 43054903,53534793,65559683,72092559,72092558,65383085,53379268,42912936,33867298 Dl.O(d2) = 43054903,53534793,65559683,72092559,72092558,65383085,53379268,42912936,33867298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8275653, s2 = 14172325, dlinesl.size( ) = 2 s1 = 8275653, s2 = 14172325, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8275653, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8333577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8333577, s2 = 1060751, int(edited[s2]) = 0 s1 = 8333577, s2 = 1060751, d1 = 20, d2 = 0 Dl.O(d1) = 94611545,80552353,80552355,262567067,272036383 Dl.O(d2) = 27050542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14259193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14259193, s2 = 8253426, int(edited[s2]) = 1 s1 = 9735287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9735287, s2 = 8063515, int(edited[s2]) = 0 s1 = 9735287, s2 = 8063515, d1 = 34, d2 = 30 Dl.O(d1) = 23159232,23159233,25493151,18888559,13460523,9205031,9205032,13460526,18888564,17581860,12409743,9244804,6054842,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287477,12272628,17414035,17413340,12272069,8287129,5346144,3285617,3285618,5346150,5346083,3285582,3285579,5346072,8286979,12271860,17413102,23737934,17413864,17413865,23738733,30276760,38861334,48781557,60176059,72912944,86509375,259055736 Dl.O(d2) = 3825923,3829219,6120293,9343987,13583565,13583566,13632863,13632864,19095036,25621718,33387327,255675414,61944563,50453122,40418707,31726955,24220350,17850038,17850040,24220297,17850004,17850005,17849963,17849962,23453126,23453128,30885033,38994755,38375697,29803868,29803869,38375698,38615767,31057341,23573676,23573675,31057338,27301299,27301300,24220234,24220236,31726814,36692911,36692912,36714595,28221833,28221832,36714592,31307174,31307173,23822088,23822086,23822264,23822263,29742622,22383457,22383456,29737128,38305080,42870388,33829246,26011201,26011202,33829248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735287, s2 = 8063515, dlinesl.size( ) = 2 s1 = 9735287, s2 = 8063515, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9735287, Dl.E( ) = 36, 1.48e-05 seconds used appending s1 = 5243225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655958, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10184430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2335150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10167229, s2 = 2938163, int(edited[s2]) = 0 s1 = 10167229, s2 = 2938163, d1 = 9, d2 = 82 Dl.O(d1) = 36779503 Dl.O(d2) = 74135884,87741519,87741520,74135882,74135881,87741519,99790600,271790736,48123874,48123873,59511411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14163452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163452, s2 = 10349616, int(edited[s2]) = 0 s1 = 14163452, s2 = 10349616, d1 = 10, d2 = 10 Dl.O(d1) = 258963260,25679943,19057433,16401157,11417427,7588103,4799716,4799715,7588099,7172006,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399303,10416531,10416530,15102463,17857668,17857669,16804537,11750725,7845712,7845681,7845682,8586739,5579643,5579641,7500868,4741381,2857430,1658332,1658328,2857436,4741394,5290510,5290507,3241945,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750789,11750787,12648075,12648076,17860632,21479249,15476512,10860343,7180107,4523088,4523089,7180112,10860354,15688059,17314949,12190331,12190332,16250505,11297785,7500830,4741362,4741363,7500837,7172827,4518235,4518234,7172821,10849765,255422143,29000937,31737582,31737581,37590052,29042628,29042629,30307013,29038984,21746759,21746758,29038980,31740589,31740591,37558362,29011975,21724823,21724824,24234290,31744513,31745537,24235180,24235181,31745540,40439871,47456456,37559038,29012656,29012655,29023250,29023251,21749561,21749517,15696842,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,7178164,7178165,10857333,15683176,15699200,10867913,10867912,15699198,21743652,21726874,21726873,15692999,15693002,21729045,21720359,21720362,29006310,29045449,37565787,257466933,37495348,29037216,29037217,30307696,29025862,21735870,21735871,21756889,15702301,15702300,21756884,18853301,13432605,13432607,18853308,13432654,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018468,29018276,21729835,21729837,21107500,15161981,10456202,6892350,4326655,4326654,6892345,5579218,3461603,3461604,5579225,8586098,12645556,15689914,10861669,10861670,15677113,10853321,10853320,15677106,21721457,29007533,31741144,29024973,21735100,21735098,22907137,30306119,37557665,29020964,21732022,15684277,10857917,10857918,15684284,21732042,21732282,15684455,15684453,10858009,7178489,267967407,15684471,21732309,29021305,33356213,33356214,37577904,37577905,40440998,31746425,24235703,24235704,255423031,15679882,21725640,29013052,256892603,58850722,47480136,47480137,58849199,48814144,38892401,30306504,22907276,22907277,18985904,13548364,13548363,18985902,25595690,268390735,15696311,10865868,7184109,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522552,7179292,10857141,7178049,7178051,10857147,15682866,21729909,15697809,15697808,21750958,29043857,24228861,24228862,31737639,38466520,38466519,47473158,37566866,29020289,21739951,21739950,29031032,268621709,29030526,37568580,29022102,29022103,37568582,37572496,29025697,21735705,15686775,10859558,7179572,7179574,10859564,15686798,21735744,25451610,29025724,24229846,21730151,21730152,29018701,37565279,37564820,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717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Dl.O(d2) = 258963260,25679943,19057433,16401157,11417427,7588103,4799716,4799715,7588099,7172006,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399303,10416531,10416530,15102463,17857668,17857669,16804537,11750725,7845712,7845681,7845682,8586739,5579643,5579641,7500868,4741381,2857430,1658332,1658328,2857436,4741394,5290510,5290507,3241945,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750789,11750787,12648075,12648076,17860632,21479249,15476512,10860343,7180107,4523088,4523089,7180112,10860354,15688059,17314949,12190331,12190332,16250505,11297785,7500830,4741362,4741363,7500837,7172827,4518235,4518234,7172821,10849765,255422143,29000937,31737582,31737581,37590052,29042628,29042629,30307013,29038984,21746759,21746758,29038980,31740589,31740591,37558362,29011975,21724823,21724824,24234290,31744513,31745537,24235180,24235181,31745540,40439871,47456456,37559038,29012656,29012655,29023250,29023251,21749561,21749517,15696842,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,7178164,7178165,10857333,15683176,15699200,10867913,10867912,15699198,21743652,21726874,21726873,15692999,15693002,21729045,21720359,21720362,29006310,29045449,37565787,257466933,37495348,29037216,29037217,30307696,29025862,21735870,21735871,21756889,15702301,15702300,21756884,18853301,13432605,13432607,18853308,13432654,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018468,29018276,21729835,21729837,21107500,15161981,10456202,6892350,4326655,4326654,6892345,5579218,3461603,3461604,5579225,8586098,12645556,15689914,10861669,10861670,15677113,10853321,10853320,15677106,21721457,29007533,31741144,29024973,21735100,21735098,22907137,30306119,37557665,29020964,21732022,15684277,10857917,10857918,15684284,21732042,21732282,15684455,15684453,10858009,7178489,267967407,15684471,21732309,29021305,33356213,33356214,37577904,37577905,40440998,31746425,24235703,24235704,255423031,15679882,21725640,29013052,256892603,58850722,47480136,47480137,58849199,48814144,38892401,30306504,22907276,22907277,18985904,13548364,13548363,18985902,25595690,268390735,15696311,10865868,7184109,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522552,7179292,10857141,7178049,7178051,10857147,15682866,21729909,15697809,15697808,21750958,29043857,24228861,24228862,31737639,38466520,38466519,47473158,37566866,29020289,21739951,21739950,29031032,268621709,29030526,37568580,29022102,29022103,37568582,37572496,29025697,21735705,15686775,10859558,7179572,7179574,10859564,15686798,21735744,25451610,29025724,24229846,21730151,21730152,29018701,37565279,37564820,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163452, s2 = 10349616, dlinesl.size( ) = 2 s1 = 14163452, s2 = 10349616, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163452, Dl.E( ) = 12, 1.69e-05 seconds used appending s1 = 10349617, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8050946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10140649, s2 = 9732121, int(edited[s2]) = 0 s1 = 10140649, s2 = 9732121, d1 = 7, d2 = 7 Dl.O(d1) = 22086895,29417362,37980290,256017776,21585573,254594412,10763105,10763104,15560795,11979824,8027817,5116902,3108040,3108041,5116908,8027834,7466157,7466158,8051390,5176222,5176221,8080724,8032497,8032498,11980396,8028566,5117706,3108613,1816535,1037256,1037257,254256001,1823871,1041090,1041091,1823874,1049431,590387,329346,181492,181490,329341,590380,330269,330267,592385,1053532,1054667,1054520,267754393,592949,1053708,592488,592487,1053732,1846526,3155366,5135068,5155701,5172622,7521889,4755994,2866478,1663699,1663697,2866468,3158920,1849123,1849125,3131294,1830525,1044728,588061,588064,1044735,1830540,3131327,3112967,3112963,3134812,3148460,254385305,3120580,5132838,8042353,6988443,6988442,5134685,3188875,1866076,1866075,3188873,5148162,8056951,7407453,4680476,4680462,3139732,3122700,1831492,1045246,588310,328382,181052,99436,54890,30990,17872,17873,30993,54898,99451,181088,181020,181019,328299,588155,1044934,1830945,3132002,5143246,5168543,3150709,3150708,5157644,7407355,4680354,3189614,3189615,5174441,3155901,1846909,1846908,1866824,1064885,598515,598520,333690,333686,333696,333694,598924,1065559,1867971,3124815,1827031,1053821,1053819,1846687,3121232,1824281,1824278,3097353,3097352,3140176,1836340,1836341,3140178,5156596,8063496,11993743,8045486,5135708,5135709,8045487,8020553,8020552,11974715,11971356,8015403,5103760,3098170,3098169,3190928,3152081,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693,584461,329243,329241,590162,1049035,1838237,3115462,1820673,1820674,3115465,5126472,5133374,3120971,1824104,1041232,1041233,1810128,2868592,1664870,947144,534049,534047,947138,1664856,2868555,2869540,1665377,947390,947389,1665367,2869526,4760542,7527231,11330162,8030599,5119820,5119819,5108083,3101364,3101365,5108085,8019454,267794932,10368381,6830783,4285511,2562139,2562137,4285500,6830770,8075326,8045427,8045425,11328187,11871161,11326450,11326449,7993336,5088098,5088096,7975553,5075361,3077782,3077785,5075368,7975564,11921295,8042586,5133112,5133108,7975056,8074011,7527970,4761224,4761225,5177861,5109251,5109249,5172390,5172391,8077508,10773861,7988865,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,1053155,1845502,3153915,5172084,7970606,5071599,5071598,7970605,8030997,8030996,254376710,2549497,4264289,6799984,7961533,7961536,7990908,5086104,5086106,7990922,7117374,4481222,4481220,4480584,2692125,2692123,4480593,7116320,5172005,5085518,5085521,7990016,7990019,8655863,5630196,5630198,4744588,4744589,7505924,7505923,11305500,10770823,10770822,15571523,21599245,15573397,11530902,7670860,4853515,2924729,2924730,4853519,7670874,11530883,16190770,11254599,7471064,4721409,4721412,5094406,3092142,3092143,5094411,8002196,10401639,6856733,6856734,10401645,15080245,17040075,23300217,30717486,39315818,255527028,31555019,40241209,50260722,46433533,36569019,28097953,28097954,29793627,22427617,22427618,29793629,38263221,38047714,29484275,29484274,38047712,30796662,23370260,23370259,30796628,30511451,23095938,23095941,24202893,24202895,31546711,39108481,30511375,23095885,16840279,11776582,11776579,11776580,16840273,23095874,17691038,17691039,256031875,257085221,31546250,24042682,255190475,255190473,8477151,5479610,3371906,1984119,1133313,1133314,1984120,3371908,5478951,3372062,1984194,1984193,3372060,5479862,8477533,12511611,11305459,11305458,16228468,11281589,11281588,254604131,5478656,8475622,255190373,10462983,6896929,4329402,2590073,2590072,4329400,6896927,10462977,12415562,12415566,255570603,23931332,17589154,12415549,8391648,8391647,12415547,17589146,13492914,13492913,18926817,22678542,26626093,29320086,21991311,21991312,22392995,16233318,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,24148084,24148085,31658170,38322849,37248643,33471438,25698220,25470019,22549359,16372963,16372959,22549349,29905510,38462786,38809522,30226811,30226812,33993128,26151643,21118111,15171390,15171389,21118109,28328468,33999759,33999758,43058424,53538041,60564437,58078288,46750490,36871329,36871330,41759279,32838936,257252621,34000737,26158961,19459399,13926126,13926129,19459402,15891942,15891940,21988430,29316757,26161421,19461413,19461412,26161418,25617453,19003504,19003503,25617451,25769644,19129752,13658898,9353270,9353273,13658907,19129770,21992971,15895459,15895461,21993598,25465709,25465707,28327841,28327842,23577447,17265809,12145366,9344897,9344896,13646961,15171708,21118672,16475539,16475538,15140747,10442613,10442614,15140749,17105454,19459427,21088449,15148040,11019036,7294719,7294714,10437943,9559415,6272472,6272470,9559378,13927448,13927232,9559262,9559261,13927231,19461076,23686944,17365658,12234576,12234577,17365664,23686954,26161329,19461312,19461313,26161332,26157574,19458207,13925281,13925283,19458210,26157584,31487258,31192547,31192548,39874416,46672571,43060434,34002153,26160417,19460573,19460572,19461307,13927380,13927381,19461308,26161323,28174855,20993477,19235414,13742738,254656686,25895333,19461355,13927417,13927419,11018280,11018279,15892465,11017348,11017349,13931767,13931768,13925639,13925638,13925667,9558390,6271942,3926971,3926970,6271936,9558376,254280564,26158222,34000055,43058664,53538203,65562847,65562850,65562845,256040038,93007194,98268825,98268826,112248515,113887028,126102594,112246515,98266853,84358433,84358432,70799891,58083174,46711652,36829208,36829209,46711653,36829207,28332970,21121333,21121334,28332972,36829206,28332966,21121329,21121330,268606683,28332968,22366340,16212415,11269939,11269940,15173606,15173607,10464815,10464814,6898021,6898020,4330107,2590546,1493492,1493491,1493479,1493478,2590534,4330093,2590543,1493490,254119031,477506,268707,148909,81891,81892,254084711,477510,845825,477503,477504,845826,1493481,2590537,254491657,255017125,10464796,15173594,15173605,10464807,255017127,21121324,28332963,36829196,28332958,21121321,15173600,15173601,21121323,28332962,36829187,36829188,36829189,46711637,58083154,58083158,46711640,46711641,58083160,70799878,60512597,49109679,49109678,258200383,84358427,70799874,70799875,73258703,73258705,73258704,73258702,60512587,60512588,60512589,49109677,39180236,30582556,23164795,23164796,30582558,39180239,39180232,30582553,23164793,23164792,30582550,39180227,49109667,48246639,38336305,29765596,29765595,38336303,48246635,59633432,72367660,85962441,85962440,99920018,85962439,72367647,59633423,59633422,59633430,72367659,73258710,86871180,100852106,113943177,99920028,99920029,113943178,127823334,260052798,114902748,128799948,128135141,114248269,100214133,100214132,100655175,100655174,114248271,100214134,257000386,86246481,86246477,86246478,100214130,114248267,100214138,100214137,100214135,86246484,72644567,59903533,59903532,72644565,59903530,48509997,48509998,59903531,59903540,59903541,72644575,86246493,99994687,269362710,72435084,72452571,59716190,48330330,38423130,38423131,48329516,48312454,256000566,59494932,48106283,257518345,72231065,258673616,36822428,36822427,36822428,268377301,15170654,21116972,28326914,256836703,58077235,46705135,268691418,59613791,72347362,85940753,99895785,270344835 Dl.O(d2) = 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4,19003503,25617451,25769644,19129752,13658898,9353270,9353273,13658907,19129770,21992971,15895459,15895461,21993598,25465709,25465707,28327841,28327842,23577447,17265809,12145366,9344897,9344896,13646961,15171708,21118672,16475539,16475538,15140747,10442613,10442614,15140749,17105454,19459427,21088449,15148040,11019036,7294719,7294714,10437943,9559415,6272472,6272470,9559378,13927448,13927232,9559262,9559261,13927231,19461076,23686944,17365658,12234576,12234577,17365664,23686954,26161329,19461312,19461313,26161332,26157574,19458207,13925281,13925283,19458210,26157584,31487258,31192547,31192548,39874416,46672571,43060434,34002153,26160417,19460573,19460572,19461307,13927380,13927381,19461308,26161323,28174855,20993477,19235414,13742738,254656686,25895333,19461355,13927417,13927419,11018280,11018279,15892465,11017348,11017349,13931767,13931768,13925639,13925638,13925667,9558390,6271942,3926971,3926970,6271936,9558376,254280564,26158222,34000055,43058664,53538203,65562847,65562850,65562845,256040038,93007194,98268825,98268826,112248515,113887028,126102594,112246515,98266853,84358433,84358432,70799891,58083174,46711652,36829208,36829209,46711653,36829207,28332970,21121333,21121334,28332972,36829206,28332966,21121329,21121330,268606683,28332968,22366340,16212415,11269939,11269940,15173606,15173607,10464815,10464814,6898021,6898020,4330107,2590546,1493492,1493491,1493479,1493478,2590534,4330093,2590543,1493490,254119031,477506,268707,148909,81891,81892,254084711,477510,845825,477503,477504,845826,1493481,2590537,254491657,255017125,10464796,15173594,15173605,10464807,255017127,21121324,28332963,36829196,28332958,21121321,15173600,15173601,21121323,28332962,36829187,36829188,36829189,46711637,58083154,58083158,46711640,46711641,58083160,70799878,60512597,49109679,49109678,258200383,84358427,70799874,70799875,73258703,73258705,73258704,73258702,60512587,60512588,60512589,49109677,39180236,30582556,23164795,23164796,30582558,39180239,39180232,30582553,23164793,23164792,30582550,39180227,49109667,48246639,38336305,29765596,29765595,38336303,48246635,59633432,72367660,85962441,85962440,99920018,85962439,72367647,59633423,59633422,59633430,72367659,73258710,86871180,100852106,113943177,99920028,99920029,113943178,127823334,260052798,114902748,128799948,128135141,114248269,100214133,100214132,100655175,100655174,114248271,100214134,257000386,86246481,86246477,86246478,100214130,114248267,100214138,100214137,100214135,86246484,72644567,59903533,59903532,72644565,59903530,48509997,48509998,59903531,59903540,59903541,72644575,86246493,99994687,269362710,72435084,72452571,59716190,48330330,38423130,38423131,48329516,48312454,256000566,59494932,48106283,257518345,72231065,258673616,36822428,36822427,36822428,268377301,15170654,21116972,28326914,256836703,58077235,46705135,268691418,59613791,72347362,85940753,99895785,270344835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140649, s2 = 9732121, dlinesl.size( ) = 2 s1 = 10140649, s2 = 9732121, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 10140649, Dl.E( ) = 8, 1.19e-05 seconds used appending s1 = 2406546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2406546, s2 = 8358647, int(edited[s2]) = 0 s1 = 2406546, s2 = 8358647, d1 = 5, d2 = 6 Dl.O(d1) = 65562846,65562847,65562850,65562845,256040038,93007195,98268825,98268826,112248516,98268830,98268829,112248522,126104560,126102595,112246516,98266854,84358433,84358432,84358434,98266856,98266862,85913085,85913084,72319758,59585170,48198619,38289291,256272604,16212415,16212414,21121337,21121326,15173609,10464810,10464808,15173607,10464815,6898022,4330113,2590552,1493494,845831,845830,254119029,148909,81891,81892,254084711,477510,845833,1493496,2590554,4330115,6898024,268066805 Dl.O(d2) = 10464802,15173601,21121323,28332962,36829187,46711636,36829197,36829193,36829194,46711643,36829191,36829190,46711641,58083160,70799878,60512597,49109679,49109678,258200381,73258707,73258708,60512600,60512601,73258701,60512602,60512603,72367661,72367663,59633434,59633435,59633437,59633436,256025856,38336302,38336303,48246635,258762209,99920029,269362708,100214133,100214132,100655175,86682635,86682636,100655177,100655180,86682639,86682638,100655178,258811848,258188576,72231075,72231074,72435087,59699340,48312460,48312459,59699338,72435084,72452571,59716190,59716191,59494938,48106287,38194655,29627661,29627660,262712481,174943474,263079917,184549948,192938795,200135248,206212201,211237400,215343471,265163433,224059755,226193023,228050400,274550267,266004734,229680459,231126891,229680454,265729928,226193016,228050386,226193015,226193014,228050383,229680452,266004736,229680469,231126899,232423349,233595590,233595588,232423345,231126895,265873874,265729930,226193021,228050397,226193033,224059766,221600090,221600089,224059763,226193031,228050413,228050379,228050380,228050395,226193019,224059752,221600078,265004406,215343468,215343463,215343462,218736195,221600070,221600069,265356629,226193008,228050375,265729926,224059735,265212344,215343455,211237382,206212186,263921826,184549940,184549941,192938783,184549937,174943469,164122004,152234930,139503712,126128970,126128971,139503714,152234935,164122009,174943476,184549954,192938803,200135251,206212204,211237408,215343475,218736205,221600089,224059763,226193031,228050410,265971320,226193024,226193025,228050404,229680466,231126896,232423347,232423341,266004734,229680459,231126891,229680454,265729928,265401402,206212194,200135243,200135244,206212197,211237394,211237395,264950969,221600082,221600063,218736188,215343456,211237382,206212186,263921826,184549940,184549941,192938783,184549937,174943469,164122004,152234930,139503712,126128970,126128971,139503714,152234935,164122009,174943476,184549954,192938803,200135251,206212204,211237408,215343475,218736205,221600089,224059763,226193031,228050413,228050379,228050380,228050395,226193019,224059752,224059749,265837787,229680456,228050389,265573772,218736199,215343466,215343468,215343463,211237388,206212191,200135242,200135241,206212188,211237386,264774806,264237348,192938799,184549951,184549950,192938797,264165637,211237402,215343474,265163437,265532425,221600061,218736185,215343455,211237382,206212186,263921826,184549940,184549941,192938783,184549937,174943469,164122004,152234930,139503712,126128970,126128971,139503714,152234935,164122009,174943476,184549954,192938803,200135251,206212204,211237408,215343475,218736205,221600089,224059763,226193031,228050413,228050379,228050380,228050395,226193019,224059752,221600078,265004406,215343468,215343463,211237388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2406546, s2 = 8358647, dlinesl.size( ) = 2 s1 = 2406546, s2 = 8358647, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2406546, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 10143959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6625641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6625641, s2 = 13161069, int(edited[s2]) = 0 s1 = 6625641, s2 = 13161069, d1 = 17, d2 = 15 Dl.O(d1) = 121806483,258436068,107423829,256669692 Dl.O(d2) = 776575,774492,774488,1358681,2345537,3918380,254302916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6625641, s2 = 13161069, dlinesl.size( ) = 2 s1 = 6625641, s2 = 13161069, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6625641, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 6579804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7889830, s2 = 9663359, int(edited[s2]) = 0 s1 = 7889830, s2 = 9663359, d1 = 9, d2 = 10 Dl.O(d1) = 257712526,41701296,41701297,46836981,46836980,47679971,37757749,29196270,21884030,21884031,28541614,21318095,15347156,10601273,6994388,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634481,4396363,6995544,9921801,7051967,7051966,6520552,6520551,9921123,6569794,6569795,9996386,13917162,9552136,9552137,13917163,13350408,9122664,5969448,5969447,254916177,8632261,6529926,6529924,9935372,10603157,6996019,6996020,10603368,15349174,15355309,19231388,14564377,12905776,12905775,255629183,13019403,8864435,8864434,13019399,9935350,9447752,9447751,255089312,7282431,4592590,2763053,1601734,1601732,2763061,4592602,7282452,8840602,8840600,254637888,8975166,8975167,13166982,14442172,254939946,21437481,28687698,256866994,53547907,53547908,52866657,52866656,64785641,77979636,91903982 Dl.O(d2) = 112145943,106099004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6897110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6897110, s2 = 14087835, int(edited[s2]) = 0 s1 = 6897110, s2 = 14087835, d1 = 54, d2 = 108 Dl.O(d1) = 259855034 Dl.O(d2) = 111563272,97633631 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8255340, s2 = 14952913, int(edited[s2]) = 0 s1 = 8255340, s2 = 14952913, d1 = 0, d2 = 0 Dl.O(d1) = 255013762,15134939,15134940,21070192,28273330,31088946,23604533,17291527,17291526,23604532,31088944,31088937,31088936,31088931,31088930,39767435,49787160,268945478,55413460,44565801,44565800,48165877,38256466,30691970,23277233,23277232,30691969,254832180,60616695,73361562,86973141,100957383,93203122,79087940,65732259,53676243,43166021,34082814,26222262,19508082,13963556,9587601,6293531,3942010,2359818,254150619,248918,248917,441638,441932,249041,249037,441960,779067,769677,769676,1349007,2327476,3887319,6210766,9472346,13812267,19316473,25985858,33799119,42834912,53289757,60125731,48731040,48731039,269828915,60125734,48731042,38810758,30228046,22836286,16614925,16614924,16614912,267981773,7714129,11588986,14045059,254960064,14117522,9712802,6389941,254312173,2403462,4010229,2415558,1398285,1398288,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345724,9345720,13648076,19115831,21383964,19284726,13786092,13604715,9315865,9315861,13604700,13982936,19057125,19057122,13649665,13649668,12185944,12185940,15872291,15872292,21966338,256371955,33682566,34646647,26655449,19841641,14214622,255729477,34646648,43919728,54662205,258506411,94399184,108686074,122950937,136780860,149916134,162127802,173227329,183078020,191687033,199090361,264412957,210536383,210536382,214772099,218257652,274197476,219523056,216238258,212275661,207425845,201544521,194557617,186401392,177044192,166461284,166461285,167026441,177535678,186823861,194918620,201849848,207684952,212496122,216428991,219690209,222136327,219341354,264772130,207153642,263917946,207153643,201227086,194186618,185966428,176537963,165884153,165884154,176537965,185966431,194186623,201227092,264233123,194186620,185966429,185966430,194186622,201227090,207153647,212040870,207153653,201227103,194186643,185966461,260464900,154117836,141447020,141447021,154117839,273133271,194186672,194186652 Dl.O(d2) = 255013762,15134939,15134940,21070192,28273330,31088946,23604533,17291527,17291526,23604532,31088944,31088937,31088936,31088931,31088930,39767435,49787160,268945478,55413460,44565801,44565800,48165877,38256466,30691970,23277233,23277232,30691969,254832180,60616695,73361562,86973141,100957383,93203122,79087940,65732259,53676243,43166021,34082814,26222262,19508082,13963556,9587601,6293531,3942010,2359818,254150619,248918,248917,441638,441932,249041,249037,441960,779067,769677,769676,1349007,2327476,3887319,6210766,9472346,13812267,19316473,25985858,33799119,42834912,53289757,60125731,48731040,48731039,269828915,60125734,48731042,38810758,30228046,22836286,16614925,16614924,16614912,267981773,7714129,11588986,14045059,254960064,14117522,9712802,6389941,254312173,2403462,4010229,2415558,1398285,1398288,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415582,4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345724,9345720,13648076,19115831,21383964,19284726,13786092,13604715,9315865,9315861,13604700,13982936,19057125,19057122,13649665,13649668,12185944,12185940,15872291,15872292,21966338,256371955,33682566,34646647,26655449,19841641,14214622,255729477,34646648,43919728,54662205,258506411,94399184,108686074,122950937,136780860,149916134,162127802,173227329,183078020,191687033,199090361,264412957,210536383,210536382,214772099,218257652,274197476,219523056,216238258,212275661,207425845,201544521,194557617,186401392,177044192,166461284,166461285,167026441,177535678,186823861,194918620,201849848,207684952,212496122,216428991,219690209,222136327,219341354,264772130,207153642,263917946,207153643,201227086,194186618,185966428,176537963,165884153,165884154,176537965,185966431,194186623,201227092,264233123,194186620,185966429,185966430,194186622,201227090,207153647,212040870,207153653,201227103,194186643,185966461,260464900,154117836,141447020,141447021,154117839,273133271,194186672,194186652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8255340, s2 = 14952913, dlinesl.size( ) = 2 s1 = 8255340, s2 = 14952913, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8255340, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11656340, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8535454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8164097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9363506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14208445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14208445, s2 = 2411020, int(edited[s2]) = 0 s1 = 14208445, s2 = 2411020, d1 = 1, d2 = 1 Dl.O(d1) = 48792445,38870136,30284288,22886458,16657720,11625283,7743553,4903559,2955531,2955533,4903562,5985177,3742517,3742518,5985180,4870025,2934624,2934623,2934331,2934332,4869532,254545411,4795689,4795688,4862431,254794329,16569416,22577016,255099685,7582285,7582283,254544697,2930214,2930212,4862701,7685080,11411227,7582989,7582988,7611100,4894261,4894260,7731201,11611368,11417045,7681945,4860759,2929156,2929155,4860756,7681940,7739609,7586184,7586185,7727683,11607876,7742362,4902564,4902563,7610373,11443110,11624035,11554527,7688358,7688359,11554530,16403952,11622681,7741021,4901553,2954186,1713060,973448,973450,1713068,2954198,4807900,4817627,2903263,2903262,4817613,7595766,6897436,6897433,6812921,4808998,4808996,2935179,1702255,1702254,2935172,4808159,4808160,7600457,11432090,15475106,16647236,15297653,11414156,7585433,7585432,11414151,7618214,4820083,4820080,7618207,11453510,16438930,22624210,29992337,38562531,29992346,255590070,16438932,22624215,29992347,268953381,48475995,59867752,49268978,39343308,257024051,269844515,72448143,59711255,48323986,38413320,29841578,29841579,38413322,34134917,34134916,34134918,34134919,43222712,53734553,65790500,59712575,48325658,38416300,29846861,29846863,38416302,48325660,256885037,28931658,21654245,21654244,28931655,37473033,47380240,58767459,258699973,98995109,260537971,112984899,98995099,85069290,71497029,58767456,58767457,258699971,98238281,84331050,70772282,70772281,84331049,257520416,71569451,58842626,47457033,47457034,58402269,47456925,37549000,29003180,29003179,37548998,37548993,29003233,29003231,37549057,29003296,21717488,21717489,29003298,37549131,37141924,28628560,21390246,15405862,15405861,18305556,12994040,12994041,18305563,24787887,24787853,24787849,21390232,15405851,10648448,7030887,7030888,10648453,15405858,18305618,18305617,24787872,18305552,12994036,8846321,5765394,5765395,8846323,12994038,255626701,32412908,24787987,24787989,32413066,24788007,256084583,41238237,41238236,269044914,18305613,12994067,12994068,18305616,12994115,12994114,18305573,12994046,8846326,5765396,5765397,8846328,12994050,12994061,8846334,254896999,18305602,12994071,12994070,12994093,8846357,5765413,5765414,8846359,8846367,5765422,5765423,8846369,12994101,12994102,18305665,24787992,24788011,24788012,32412979,32412980,32412930,32412929,32833151,25128266,254688968,13200971,18575856,25128268,19280468,13782612,9449654,9449655,13782613,19280472,25128317,18575887,18575886,255327648,32300091,26645611,26645610,25840036,25840035,31865264,24342852,17952134,17952135,24342856,31865269,24653772,24653769,29434876,37997504,32253078,254964508,18195903,12906121,12906122,12906114,12906115,18195894,24653865,19202452,19202451,22102405,18817065,18816946,13405344,13405343,18816944,15992221,15992220,20327299,14588130,14588128,11101714,7362310,4650441,4650440,7362308,8740513,5690250,5690251,7473062,4722835,4722834,7473061,11257094,16194071,12523435,12523434,13167762,8975888,5859806,5859807,8975890,10639528,12983100,12983101,18291504,18532458,25075182,29696605,23553683,19530697,19530696,26247938,33711056,40396054,50429395,40396058,31703979,24196410,17827190,12622568,8568744,8568743,12622564,17827184,24196402,24196430,24196431,24196428,24196429,31704001,40396080,50429426,59990583,59990582,72727955,86325471,100287589,114317885,107662807,93260120,258472663,65790493,79144855,93260117,107662803,114311996,114311994,260630067,114311993,100281607,100281606,100281609,86319517,72722051,269353865,256431085,22716653,22716654,30098564,38676010,38676021,30098574,22716662,16512092,11507035,7654801,4843507,2918877,1693244,1693245,2918878,2918825,2918824,4843431,2918884,1693289,962918,542640,304095,168337,168334,304083,542614,962872,1693212,1693210,1693209,2918821,4843425,7654688,11506888,16511920,12375045,8362397,5397543,4682314,4682315,7410203,10535339,10535340,12396812,12398936,8379286,7409669,7409672,11168832,12398965,17570875,16082344,16082343,15703435,15703437,17562753,22323368,16178113,16178112,22323364,29674311,22776110,16560867,16560869,22776103,17398256,17398255,23713162,23712749,17389121,12253884,8275803,8275804,8279073,8279074,268109707,17395598,21677930,15638892,15638891,21677928,28959521,256887293,50206750,40184167,31499251,24001421,24001422,31499252,39701770,255993128,23543286,31024646,39701771,49720327,49720328,61198737,68132983,81622822,95655724,99338126,258169606,59066196,47666297,47666298,42212026,42212027,44815123,55721624,52572760,42212023,42212022,52572757,64447642,77615563,91544517 Dl.O(d2) = 48792445,38870136,30284288,22886458,16657720,11625283,7743553,4903559,2955531,2955533,4903562,5985177,3742517,3742518,5985180,4870025,2934624,2934623,2934331,2934332,4869532,254545411,4795689,4795688,4862431,254794329,16569416,22577016,255099685,7582285,7582283,254544697,2930214,2930212,4862701,7685080,11411227,7582989,7582988,7611100,4894261,4894260,7731201,11611368,11417045,7681945,4860759,2929156,2929155,4860756,7681940,7739609,7586184,7586185,7727683,11607876,7742362,4902564,4902563,7610373,11443110,11624035,11554527,7688358,7688359,11554530,16403952,11622681,7741021,4901553,2954186,1713060,973448,973450,1713068,2954198,4807900,4817627,2903263,2903262,4817613,7595766,6897436,6897433,6812921,4808998,4808996,2935179,1702255,1702254,2935172,4808159,4808160,7600457,11432090,15475106,16647236,15297653,11414156,7585433,7585432,11414151,7618214,4820083,4820080,7618207,11453510,16438930,22624210,29992337,38562531,29992346,255590070,16438932,22624215,29992347,268953381,48475995,59867752,49268978,39343308,257024051,269844515,72448143,59711255,48323986,38413320,29841578,29841579,38413322,34134917,34134916,34134918,34134919,43222712,53734553,65790500,59712575,48325658,38416300,29846861,29846863,38416302,48325660,256885037,28931658,21654245,21654244,28931655,37473033,47380240,58767459,258699973,98995109,260537971,112984899,98995099,85069290,71497029,58767456,58767457,258699971,98238281,84331050,70772282,70772281,84331049,257520416,71569451,58842626,47457033,47457034,58402269,47456925,37549000,29003180,29003179,37548998,37548993,29003233,29003231,37549057,29003296,21717488,21717489,29003298,37549131,37141924,28628560,21390246,15405862,15405861,18305556,12994040,12994041,18305563,24787887,24787853,24787849,21390232,15405851,10648448,7030887,7030888,10648453,15405858,18305618,18305617,24787872,18305552,12994036,8846321,5765394,5765395,8846323,12994038,255626701,32412908,24787987,24787989,32413066,24788007,256084583,41238237,41238236,269044914,18305613,12994067,12994068,18305616,12994115,12994114,18305573,12994046,8846326,5765396,5765397,8846328,12994050,12994061,8846334,254896999,18305602,12994071,12994070,12994093,8846357,5765413,5765414,8846359,8846367,5765422,5765423,8846369,12994101,12994102,18305665,24787992,24788011,24788012,32412979,32412980,32412930,32412929,32833151,25128266,254688968,13200971,18575856,25128268,19280468,13782612,9449654,9449655,13782613,19280472,25128317,18575887,18575886,255327648,32300091,26645611,26645610,25840036,25840035,31865264,24342852,17952134,17952135,24342856,31865269,24653772,24653769,29434876,37997504,32253078,254964508,18195903,12906121,12906122,12906114,12906115,18195894,24653865,19202452,19202451,22102405,18817065,18816946,13405344,13405343,18816944,15992221,15992220,20327299,14588130,14588128,11101714,7362310,4650441,4650440,7362308,8740513,5690250,5690251,7473062,4722835,4722834,7473061,11257094,16194071,12523435,12523434,13167762,8975888,5859806,5859807,8975890,10639528,12983100,12983101,18291504,18532458,25075182,29696605,23553683,19530697,19530696,26247938,33711056,40396054,50429395,40396058,31703979,24196410,17827190,12622568,8568744,8568743,12622564,17827184,24196402,24196430,24196431,24196428,24196429,31704001,40396080,50429426,59990583,59990582,72727955,86325471,100287589,114317885,107662807,93260120,258472663,65790493,79144855,93260117,107662803,114311996,114311994,260630067,114311993,100281607,100281606,100281609,86319517,72722051,269353865,256431085,22716653,22716654,30098564,38676010,38676021,30098574,22716662,16512092,11507035,7654801,4843507,2918877,1693244,1693245,2918878,2918825,2918824,4843431,2918884,1693289,962918,542640,304095,168337,168334,304083,542614,962872,1693212,1693210,1693209,2918821,4843425,7654688,11506888,16511920,12375045,8362397,5397543,4682314,4682315,7410203,10535339,10535340,12396812,12398936,8379286,7409669,7409672,11168832,12398965,17570875,16082344,16082343,15703435,15703437,17562753,22323368,16178113,16178112,22323364,29674311,22776110,16560867,16560869,22776103,17398256,17398255,23713162,23712749,17389121,12253884,8275803,8275804,8279073,8279074,268109707,17395598,21677930,15638892,15638891,21677928,28959521,256887293,50206750,40184167,31499251,24001421,24001422,31499252,39701770,255993128,23543286,31024646,39701771,49720327,49720328,61198737,68132983,81622822,95655724,99338126,258169606,59066196,47666297,47666298,42212026,42212027,44815123,55721624,52572760,42212023,42212022,52572757,64447642,77615563,91544517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14208445, s2 = 2411020, dlinesl.size( ) = 2 s1 = 14208445, s2 = 2411020, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14208445, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 8164367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9333515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9333515, s2 = 6438565, int(edited[s2]) = 0 s1 = 9333515, s2 = 6438565, d1 = 12, d2 = 10 Dl.O(d1) = 25653368,25653367,25653365,19034456,19034457,267812490,19034459,13586811,9303239,6094210,3812973,2352058,1362512,1362509,1341718,1341720,1362538,1362534,1341718,1341720,2312834,3822056,6108140,3927365,2351124,2351119,3927379,6272677,6276105,9564183,13933550,14011757,19563217,26285271,34153200,43243102,53757977,257102960,60158516,48764733,38845286,38845287,40468326,31773533 Dl.O(d2) = 254421220,39359309,49286278,60687589,73435841,256554690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9333515, s2 = 6438565, dlinesl.size( ) = 2 s1 = 9333515, s2 = 6438565, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9333515, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 9361506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9361506, s2 = 14185659, int(edited[s2]) = 0 s1 = 9361506, s2 = 14185659, d1 = 10, d2 = 5 Dl.O(d1) = 59819056,256962109,29959729,255481189,11427662,7596553,4805252,4805251,4236593,2533006,254154987,466530,466529,466532,466531,826296,1459675,2533016,1946913,1112325,624170,624164,1112331,1467388,1458743,830249,830246,1467448,2547283,4260857,4244662,4244663,6772166,5951437,3721792,3721794,4233631,4238223,2534033,1460266,826600,466657,263482,145915,145917,263466,468484,830514,1468085,2548489,4262742,4855861,7674110,10345085,10326794,10326793,6852241,4300179,2570962,2570963,4300180,4254891,2543650,2543651,4254894,6787136,6844572,6844573,6768109,6768108,4258743,2545996,1466765,1466764,2545989,4258729,6768986,10296088,14963682,20865819,26899707,20139811,14445749,9937907,9937906,14445746,16483322,18240395,24712469,18240431,12938601,8802339,8802337,12938596,16457291,11466628,7627113,7627112,11466625,11133581,11133582,10884306,10584616,6982377,4387146,4387149,6982358,10584571,15324853,14377807,14377812,15322071,20063696,20040638,14366240,14366238,15491398,10712637,10712635,15491389,15983892,19510805,26225596,29422265,37693964,29132714,21825653,15758143,10913148,7217386,7217385,10913145,11829919,16904293,23167259,21609131,21609129,21822575,29129520,29883226,24139846,17775555,17589984,12416062,8391928,7217396,4547436,2733629,2733631,4547441,7217400,10913176,15758195,21825720,19590889,19590888,20019419,20019416,254748408,44358929,55209472,67553146,67553147,65836116,53775987,53775988,65836114,53775986,43260129,34169942,26301836,26301835,34169941,43260021,34169830,26301732,19578395,19578396,26301736,26888878,20008195,20008194,26888877,34967749,37135653,37789982,33734826,25927757,19578588,14025727,14025728,19578591,26302002,34170127,30180848,22791692,255894692,38764238,48685997,48037489,38124234,29558701,29558702,38124237,48037494,53768023,65828629,79190756,88416638,74785091,61988829,61988828,74785089,88416640,102417057,116512478,130348786,143673041,143196196,129867178,115969810,101925634,87953025,74350771,61573961,50094169,50094168,256138070,23897054,17551514,17551513,23897053,31391663,40073283,34616647,255482432,19816019,14194440,9757887,9757814,9757812,14194306,16918159,16918160,23183533,19678426,19678427,26414188,31777663,24265216,24265215,20882977,20882975,28051621,24262927,24005868,17660396,12488532,12488533,17660399,12669146,8603586,5590802,5590801,8603581,11285592,11285591,11285486,11285488,16233234,16233418,16233419,22393163,16448156,11460323,11460325,10915324,10915323,15760939,15760954,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,17253974,12134300,12134299,17253972,20800510,20800509,27962554,36420761,46273391,255393858,41758325,36870612,268912725,58118414,53538998,52868830,42464931,33471430,33471431,42464932,52868832,43877024,34606421,26618460,19809079,14189171,14189170,19809077,26618457,29969584,38535570,33463946,33463945,42457049,37887161,37887160,42557140,42175981,41758568,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,15171599,16614126,11588469,7713793,7713792,11588466,16614116,22835228,26161789,19461707,13927674,9559519,9559518,13927671,13319759,13319758,18713095,25285929,30227076,22835492,22835493,30227081,38306070,29738249,29738248,30802364,30802365,28327730,21117606,21117605,19126340,17105436,12019621,12019620,17105433,17230780,15894795,11018682,11018683,15894797,20980603,20980602,21117491,15170983,10463186,10463185,15170977,21117483,28327601,29321490,25769581,19129707,13658873,9353259,6126469,6126468,9353273,13658912,19129777,25769672,30740122,23320019,23320020,30740123,39338693,34000104,26158281,19458800,19458799,24133077,24133078,31640152,33014270,29320762,26156848,19457650,13924921,9557942,6271716,3926840,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703731,19149115,25794532,26128117,19433329,13905134,9542906,6260953,6260952,9542904,13905129,19433323,26128107,26128108,33966558,43024258,53503765,43024255,43024256,53503766 Dl.O(d2) = 259090311,107388386,109333773,109333774,98327227,95079067,81020088,67550518,55206828,44356257,44356258,48114603,38203593,38203592,38384121,48294609,48294388,38383841,38383840,48294386,48294350,38383772,34587222,34587223,43857881,49429170,48114587,38203577,29636850,29636849,30890867,30890866,39498188,38383777,38383778,39498186,255987773,23458061,30890863,38383828,48294233,39524953,268641178,22444293,16275489,16275486,22444284,29811234,30577391,36659370,36659369,29539545,29539544,38102967,48013474,41223636,34119091,26254314,19536295,13988592,13988593,19536297,26254318,34119096,29186481,29186480,37747568,29385835,29385836,37950390,47868456,49105163,39174926,257011069,51098405,46524718,36657146,28180764,20998258,20998259,28180765,36657150,37747506,37747507,47669383,40956278,40956277,51098402,49235335,39308646,30710906,23294302,17415710,12274903,12274902,17415706,23739905,24776257,18296350,12986970,8841075,8841074,12986968,18296345,24776245,28358598,35227323,35227321,37421475,28879572,21603970,21603972,28879576,37421480,39114192,257006531,48294324,48294325,59681159,58639970,47246826,37336994,28799200,21533185,21533184,24590880,32177284,40956290,43206313,47669260,37747332,29186285,29186284,37747368,268510080,21743280,21743279,29034967,37582353,268421636,48247178,39174954,256396552,38336886,29766140,22403498,16241418,11291528,11291526,255470527,14503179,9979790,9979791,14503181,20211272,27112449,35202333,257320483,53078068,258420318,6137207,254304849,1335365,762682,433865,245058,245062,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433838,434360,763566,1336766,2303503,3844278,6143749,9378332,268151611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9361506, s2 = 14185659, dlinesl.size( ) = 2 s1 = 9361506, s2 = 14185659, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9361506, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 1703203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1703203, s2 = 9032901, int(edited[s2]) = 0 s1 = 1703203, s2 = 9032901, d1 = 19, d2 = 23 Dl.O(d1) = 43256937,43256938,53772856 Dl.O(d2) = 272166106,111879359,111879358,261063323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1703203, s2 = 9032901, dlinesl.size( ) = 2 s1 = 1703203, s2 = 9032901, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1703203, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 2411564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2061328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2061328, s2 = 8614226, int(edited[s2]) = 0 s1 = 2061328, s2 = 8614226, d1 = 16, d2 = 27 Dl.O(d1) = 53777195,65837277 Dl.O(d2) = 262719448,174139658,183812019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2061328, s2 = 8614226, dlinesl.size( ) = 2 s1 = 2061328, s2 = 8614226, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2061328, Dl.E( ) = 46, 1.91e-05 seconds used appending s1 = 3329878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3329878, s2 = 8480241, int(edited[s2]) = 0 s1 = 3329878, s2 = 8480241, d1 = 15, d2 = 11 Dl.O(d1) = 107419568,258474426,65566387,256702814 Dl.O(d2) = 269556477,271112268,107419569,260341425,135740734,148979156,149391182,136137721,136137720,272757035,172484734,262050392,136137722,272467726,113627595,99613397,257329630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3329878, s2 = 8480241, dlinesl.size( ) = 2 s1 = 3329878, s2 = 8480241, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 3329878, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 8263941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2062125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9110643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8221249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8054947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2063261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2063261, s2 = 11630152, int(edited[s2]) = 0 s1 = 2063261, s2 = 11630152, d1 = 18, d2 = 99 Dl.O(d1) = 53837255 Dl.O(d2) = 243752112,244001167,267320215,267342289,244447671,244647671,244447673,244447672,267362853,244834125,244834127,267362855,244647673,244447673,244233057,244001166,244001167,267320215,244647676,244834129,245009984,244834123,244834124,244647674,244447674,244233058,267320215,244647676,244834128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2063261, s2 = 11630152, dlinesl.size( ) = 2 s1 = 2063261, s2 = 11630152, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2063261, Dl.E( ) = 102, 2.5e-05 seconds used appending s1 = 2413803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9084522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9084522, s2 = 16066565, int(edited[s2]) = 0 s1 = 9084522, s2 = 16066565, d1 = 7, d2 = 0 Dl.O(d1) = 53125395,53125396,65111171,78394103,78394104,92431002,106736940,106903524,92584547,78536870,65246767,53257240,42804311,33772144,25962653,19296922,268308275,19296873,13796501,13796502,19296874,25563254,18951657,18951658,25563256,33324526,268242678,46702384,46702385,46702386,58074381,70791621,84350407,84460197,79276250,65912880,53845458,43320970,43320971,53845459,65912881,79276251,93403756,107827267,122234598,136200998,149453626,161746420,172903603,257802286,181014624,170896251,159568550,147209619,133987145,120145897,120145898,133987147,147209618,159568548,256654960,132611026,118794211,104615066,90451886,76593911,76593912,90126491,76310800,76310801,90126493,269577312,90126495,76310802,63288588,51570701,51570702,63288590,76310804,90126496,104260337,118419700,132235619,145463703,155537464,142987848,129659490,115761734,101715642,87741372,74135721,61354171,49872486,39850251,31168241,23679952,23679951,23679950,17359666,12229631,8257278,5326989,254398119 Dl.O(d2) = 343302,343301,617655,621537,345408,189436,103448,103449,189440,345418,621557,254269345,5363139,8270112,12239387,12603365,12603364,12274576,12243931,8269093,8269092,5366358,3299067,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365287,3435672,2032327,2032326,3435663,5550655,5347621,5347624,8289421,8560068,8534524,7457563,7457565,7452336,4708542,4708546,7452350,8550111,11230592,7452203,4708466,2836450,1645470,935676,527324,527322,935669,1645455,2836422,4708407,7452099,11230566,12274829,11230027,7452382,5346791,3285942,1932386,1932387,2838142,1932380,1103802,1103801,1932371,3285903,5346720,254844579,254611081,5539643,8541915,12590358,17788516,16165234,12523024,12523023,12624634,17829282,12624518,12624516,16621534,11593988,11593987,12578153,8531467,5529551,5529552,5484893,3375767,3375766,5484891,6047171,9233513,13496314,12640027,8582185,5576373,3459565,2051347,2051346,3459563,5576369,3763772,3763773,5497288,5497287,8495936,8582159,12639992,11462907,11462908,12608247,11232259,7453562,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,3474370,5517350,3474336,3404112,2007599,2007598,3404110,5517347,5595935,3472716,3472714,4709823,4709821,7454240,8500142,5501739,5501737,8497091,254609931,5529829,5529991,3415858,2016421,2016422,2042528,2042529,3448815,5565195,8569531,8519741,5517932,5517933,8519745,8529720,5595461,3472289,3472287,5496194,3475450,2062119,2062120,3475453,254529311,2837253,2837254,4709825,7454242,8513561,5520031,5520030,8521381,5568761,3452634,3452635,5501891,3391477,1998641,1990571,1990574,1176548,1176546,2051171,2266955,3784066,3383423,1992615,1992614,1765821,1006150,1006149,1765817,1999730,1142993,1142994,1999731,3393158,3038131,254174165,1008029,1768673,1768676,254374835,7899011,8534319,8534320,12581377,16892423,23153634,30571280,39169553,49099955,60504216,73251276,78471762,78471761,92511385,98257854,84350404,70791619,70791620,84350405,98257856,84350464,258069408,46702412,36819936,36819935,36819937,28324755,21115131,15169147,10461809,6896041,4328731,4328732,6896042,10461811,15169150,21115136,28324744,21115124,15169144,10461807,10461806,15169142,21115120,21115117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9084522, s2 = 16066565, dlinesl.size( ) = 2 s1 = 9084522, s2 = 16066565, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9084522, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9692291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2414968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2414968, s2 = 3134319, int(edited[s2]) = 0 s1 = 2414968, s2 = 3134319, d1 = 9, d2 = 24 Dl.O(d1) = 65947818 Dl.O(d2) = 88326811,271310747,85007618,98933482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2414968, s2 = 3134319, dlinesl.size( ) = 2 s1 = 2414968, s2 = 3134319, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2414968, Dl.E( ) = 28, 1.6e-05 seconds used appending s1 = 893826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 893826, s2 = 1744524, int(edited[s2]) = 0 s1 = 893826, s2 = 1744524, d1 = 6, d2 = 9 Dl.O(d1) = 255544184,25315915,31719581,24212341,17842213,12634793,8578656,5573959,3457703,2049897,1175643,659971,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188616,7188617,10872528,14091026,12741174,9760103,6417231,6417229,9760097,14198119,19821019,26385372,26385367,23332048,23332049,30754610,37272742,28740676,21483127,21483126,22595242,29959843,32022245,24460705,18041796,18041795,24209823,19659325,19659327,22925186,16690730,16690731,17266333,22781645,16566087,16566086,14211735,9769963,6423672,6423671,9769969,14211748,19837944,16426291,16426290,17843579,16052128,16052129,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770734,14212922,19839463,22583028,254795096,11626977,7745113,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,6421661,9767043,9767095,12537354,13556791,11429435,7598157,7598156,11429429,14903428,20796209,254126148,15160000,16564223,22779556,30168614,30822010,30822011,23395426,23395425,28596848,26398251,26398250,34273337 Dl.O(d2) = 2500892,1442988,1442983,2500913,1444828,1444824,2504726,4187628,4198258,6699622,10195334,14824086,20673685,27769636,36135348,45872118,57103153,52616145,52616147,64509904,52616184,52616186,56446922,56446919,45369391,42233495,42233492,52609634,64500510,77679199,83333376,257978223,256794245,255776087,14831959,10200691,254993279,256259877,257978225,83333383,95925440,81869008,68344363,57150562,55902553,257939619,81869013,259816895,260883857,105957929,91756200,91756199,96943194,259842729,124902455,260370038,88283717,74656826,74656825,88283716,102278483,260743723,124985678,260691930,95809694,95809695,96181972,96181973,110342605,124406598,137985155,150881478,162904067,173857881,183599407,192125103,183705469,183705468,192205503,264143795,263454995,174094422,174094421,183778138,192266224,190128723,181314528,180944503,170819318,159484454,261442775,125094055,111201557,97188286,83260135,83260134,97188284,111201555,125094052,261542912,124665935,138172222,138421818,124998733,260387306,138378630,124944021,124944020,111366702,97381957,97381958,95782521,82711277,82711276,96682933,110762861,110029771,260288587,259673141,77827363,91753454,105956116,120163630,134001741,138070448,260086868,96363223,96363224,260436361,261004631,111363660,111363662,100106976,86140440,270850689,87742589,101716816,97375641,259854169,125221608,130474849,143548385,130224301,130224300,259479386,137756848,138098854,124847524,124847525,261586087,111319286,97324865,83407591,69869997,258604197,96770897,82815705,82815706,258489472,109946539,120009840,257275264,124442701,138010831,138263244,124788446,261028719,151078166,262599711,183675604,192183111,199511028,264435171,199511023,192183106,263047799,173959891,183675601,263816183,264697185,210763069,264409456,263417976,162689917,150586999,137585801,137585800,260423799,95755017,81699967,270681709,109973711,96029788,81986234,81986235,83177400,83177399,259118894,82540391,69013646,56481685,46181864,36359059,27921330,27921331,35738735,27509978,20503555,20503556,20555601,27509698,27509700,23685434,23685436,27772725,35962997,27652921,27652923,35963027,45628065,45102293,35599437,27416596,27416598,20741624,20741625,27874154,36289266,46085204,40701719,31961921,24413190,18004246,12759776,8671924,8671926,12759743,17995182,12754492,12754490,17995172,24397751,31935304,40658355,50727483,256899216,50721958,50721960,62250652,75081034,88737009,88941995,102994139,117104743,130914858,144175802,138504624,125101794,111210522,97198497,83270656,259849481,125101792,138504622,151259523,163179061,174057717,163179066,151259530,138504628,125101798,111210525,97198502,83270659,69734379,57108012,57108011,69734378,259227955,111210524,273451944,124138589,110003757,110003756,124138588,137791292,261745130,138019290,137757077,124092578,109953940,109953941,124092579,260456505,258604195,68174828,55766228,44850572,44850573,55766201,44850555,44850557,55766207,55766249,64514550,57276363,57276361,56023633,45709913,45709915,55786618,55786617,46009424,36232943,27834624,27834625,36232946,46009429,57276371,69922712,83462327,271025070,125221610,138592562,272187999,47345830,37438709,28898200,21622885,267759970,10786534,7126866,4486935,2695737,1561708,1561709,2695547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 893826, s2 = 1744524, dlinesl.size( ) = 2 s1 = 893826, s2 = 1744524, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 893826, Dl.E( ) = 12, 1.5e-05 seconds used appending s1 = 8558956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2066267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2066609, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6777004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6777004, s2 = 10186734, int(edited[s2]) = 0 s1 = 6777004, s2 = 10186734, d1 = 15, d2 = 6 Dl.O(d1) = 258335952,257137780,54117664,54128709,43575829,43565799,257276371,54086291,43507390,34369017,34368997,26470272,26470271,34368994,43507344,47185347,37282418,28748355,21489214,15484102,15484098,10707409,10707407,15484188,21489607,28748867,34773794,34773797,26820807,19956300,19956304,14314371,14289230,9832479,6458836,4048008,4047983,2423372,2423369 Dl.O(d2) = 26412221,19676992,14106197,9702989,6382009,4004146,2399485,1388424,789572,789573,1388426,1347856,1347858,1366816,1366817,2360648,2403467,2403463,2360568,2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388937,2400321,2350743,2350742,3926623,6271375,9557372,255297841,26155545,255222232,19298822,13798287,9462083,254455915,3883257,6204145,9461875,9461876,6339907,6339909,6229823,6229826,3978181,3978183,6340956,6200897,6200895,6372328,4008258,3658662,3658660,2334463,1367804,779073,441962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6777004, s2 = 10186734, dlinesl.size( ) = 2 s1 = 6777004, s2 = 10186734, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6777004, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 6729862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6729862, s2 = 2904713, int(edited[s2]) = 0 s1 = 6729862, s2 = 2904713, d1 = 27, d2 = 12 Dl.O(d1) = 257797231,269509945,259039889,93781209,79674090,66281854,54142582,43544133,43544134,54142584,257338442,61124087,49663267,49663266,61124086,54993283,54993282,67321736,257970268,115515698,269236708,258578942,116483384,269753050,79939414,79939415,94021303,89993520,80157935,80157934,66818960,54564300,43824602,34555814,26571435,26571436,34555823,43824621,49643835,49643831,49659614,39661005,39661002,49659599,57629936,46285143,36431998,34892983,26831804,26743680,19924641,19917868,19917867,19917998,19918001,26764602,34800553,44135626,54951748,49597637,49597635,268561566,257340806,256650103,256650105,43880652,43880651,256790266,256782174,26746513,268543119,269151437,43494453,257869583,43796665,43796666,54095961,54095960,43582852,268344766,43486562,43486563,257869331,257966890,108075711,108208433,270611819,79715751,93825997,108208434,272056714,123330079,272455565,149762776,260458572,122671577,136568871,136541962,122633420,112732549,98740051,84812984,71241494,58514961,58514962,66064124,67230770,67230774,54906738,54906735,67230819,54906751,54906750,55131870,44289529,44289528,55131869,67471039,66504002,66504003,79907865,93993713,259855974,270131759,44280495,34914341,256734323,54314533,43659762,43659763,54314535,66496501,79900101,93987172,108336481,108362595,94021306,79939416,79939417,94021308,105026198,119219567,271273364,158646911,149673750,136429932,270737674,260445012,261585614,161968819,149695732,136463783,122522861,259414516,80722927,80722926,94793230,109065201,123281889,125365759,125365760,138700937,260458534,110102458,270689181,35477534,35477533,44931505,55876259,258547892,258547890,257968586,94868454,80803395,67335115,55006899,55006898,67335112,80803393,94868453,109133695,123342085,118966799,104774662,90602705,76736650,76736649,90602703,104774659,118966798,132799460,144508776,131281275,117479692 Dl.O(d2) = 260048222,86577447,257576060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6729862, s2 = 2904713, dlinesl.size( ) = 2 s1 = 6729862, s2 = 2904713, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6729862, Dl.E( ) = 28, 1.62e-05 seconds used appending s1 = 6736726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6736726, s2 = 10489401, int(edited[s2]) = 0 s1 = 6736726, s2 = 10489401, d1 = 30, d2 = 51 Dl.O(d1) = 257884539,54619070 Dl.O(d2) = 80306694,94363421,94363425,80306700,66877069,54619182,43876703,43876702,54619181,66877067,259132893,108651558,122916793,260970675,108651555,108651556,108651558,122916794,136748845,136748844,122916826,259761711,80306708,259761709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6736726, s2 = 10489401, dlinesl.size( ) = 30 s1 = 2421108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2421951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2071681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8669890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8669890, s2 = 8875153, int(edited[s2]) = 0 s1 = 8669890, s2 = 8875153, d1 = 7, d2 = 30 Dl.O(d1) = 72558498,270851167,261744115,165859903,263169837 Dl.O(d2) = 228628800,228628801,230205095,231604775,230205087,228628797,226836071,226836072,274521589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8669890, s2 = 8875153, dlinesl.size( ) = 32 s1 = 6843294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8524727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2422253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2072109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2072109, s2 = 7947908, int(edited[s2]) = 0 s1 = 2072109, s2 = 7947908, d1 = 3, d2 = 15 Dl.O(d1) = 54652608 Dl.O(d2) = 255619762,14496666,14496665,20202958,24676945,20205879,20201810,14495692,14495691,20201808,14499025,9976707,6557209,6555901,6555900,9974950,13884992,18616459,14495956,9974877,9974080,6555262,4106659,2456409,2456408,4106654,6555254,9974067,14495391,9976697,268006608,11954009,11954010,9974159,6555301,4106677,2456417,1419964,1419963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2072109, s2 = 7947908, dlinesl.size( ) = 2 s1 = 2072109, s2 = 7947908, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2072109, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 2072583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1422817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2074825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2074825, s2 = 4553583, int(edited[s2]) = 0 s1 = 2074825, s2 = 4553583, d1 = 0, d2 = 33 Dl.O(d1) = 54698038 Dl.O(d2) = 214261940,209870734,204514039,204514037,198089232,190548620,181813214,181813215,190548623,198089233,264385461,214261942,217867382,220880412,217867381,214261939,209870731,209870730,204514038,263753567,181813214,171848430,262972205,262324084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2074825, s2 = 4553583, dlinesl.size( ) = 14 s1 = 10249069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162496, s2 = 14885383, int(edited[s2]) = 0 s1 = 14162496, s2 = 14885383, d1 = 43, d2 = 46 Dl.O(d1) = 255723544,82276535,68749969,67555877,55212096,55212095,52346740,45832517,36106686,34257236,34257234,36106645,33063615,27927875,27600414,20561588,20561587,27600433,27663154,27748274,20658188,14813272,14813271,20658179,27748258,35514119,27356752,27356753,27766347,27755300,27755302,20663083,20663079,27739526,36093106,45812990,57027343,62758687,69732772,69732774,82329861,68804828,68804833,82258585,82443633,68919800,68462865,68462862,81986347,81986333,81986331,96029944,271135470,110092629,96219726,82194313,68665179,258570247,82447926,70092769,57434955,46137390,46137391,57434957,65769908,65769907,65769848,258471073,259731367,77685006,68744239,56250544,56250542,50040062,40020458,31341060,31341059,25544089,25544090,33306092,28099463,28099464,256818055,32634883,32634884,28052732,25272481,25272480,32996787,28154470,20975720,255798443,36611405,28137783,28137781,36611399,46477334,268967306,32712650,41617733,47351286,47351285,58738966,63728299,60059423,48662686,38741236,38741237,38741243,30158700,22770556,16556455,16556456,22770558,16928574,11848120,7918893,5034641,3048344,3048345,5034643,7918900,11848132,16928591,23196766,30617703,39214564,47980149,42211210,33249258,25498293,25498291,33249139,38141783,38141784,42211004,39214426,30617589,23196689,23196690,30617592,30617595,25498280,25498279,33249135,33249133,37514881,33249152,255405056,49040959,43219564,34131641,26265175,25374473,25374474,30617663,25498346,18892857,18892856,25498345,33249076,25498148,18892727,13463530,9207015,9207014,13463528,18892723,25498141,33249064,25498324,18892836,18892778,13463560,9207033,6027670,6027671,9207034,13463561,18892780,25498229,30512060,23096498,23096499,30512063,39109180,41617723,41617722,38741213,38741214,33249164,25498227,25498226,33249163,42211092,42210992,33249033,25498105,18892697,15412697,10653814,10653813,15412694,19592558,19592559,26317893,34189644,267964324,26233566,34095847,43180144,47142927,37237748,37237747,47142926,58531179,71262936,84837121,98764447,112754632,126610594,139965053,152663984,153022603,140323509,126968239,113109662,99119461,85197145,85197146,99119464,113109663,126968241 Dl.O(d2) = 72266964,59532842,48145463,48114239,256101330,29636518,38203215,48114241,59502270,72237498,67653532,257756284,37194613,37194615,41200665,40017210,38160600,38160599,48073448,59464382,72202266,72202264,72202263,85796450,99750451,113764714,127633059,259776556,95903141,81845342,68321863,55883988,256209068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162496, s2 = 14885383, dlinesl.size( ) = 10 s1 = 2427270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9459305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2428071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2428071, s2 = 12308375, int(edited[s2]) = 0 s1 = 2428071, s2 = 12308375, d1 = 53, d2 = 41 Dl.O(d1) = 67546106,67546105 Dl.O(d2) = 260041632,189128577,196872316,203499388,209048872,209048871,263186636,220440034,220440044,217333467,213603403,209048873,209048872,203499387,203499388,209048872,209048871,263186636,220440035,223079012,223079016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2428071, s2 = 12308375, dlinesl.size( ) = 2 s1 = 2428071, s2 = 12308375, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2428071, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 7957799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7957799, s2 = 8212490, int(edited[s2]) = 0 s1 = 7957799, s2 = 8212490, d1 = 102, d2 = 143 Dl.O(d1) = 4564638,267788696,10941957,15793086,267969798,21882025,21882024,17201659,17201660,22081113,21881468,21881467,29193367,29176886,29176887,256335878,255041666,25120594,18569074,13195505,8995487,5872985,3667079,3667080,5872991,8055246,12001939,17089610,23358052,25119547,18568255,18568254,25119541,25119554,21066685,21066683,18568134,18568133,25119363,21987457,15891016,15142017,254122106,6884671,10443393,15142028,21067165,15132676,10943880,7241753,7241752,10943874,7241805,7241806,10943942,15795562,15155953,254343606,254752820,24485067,24485068,32050554,40810575,36764544,28269453,21066947,21066948,28269455,36764548,46457783,44532070,44532071,55378367,58022373,46649650,40074324,31392806,255187602,20990737,20990736,268394230,256903284,49223161,47434272,37526655,28982719,28982720,256513595,23762698,17435127,12289262,12289263,255558029,31246984,39918352,257059727,23758696,17431453,17431452,256008485,268993285,39858454,257054697,54673340,43931005,34657884,29783704,29783705,38356224,268923598,66944559,66944561,80356113,66930001,66930002,74193254,268964766,47433668,47433670,58820278,71548563,61414710,61414711,49955814,39938846,39938844,41731784,32811291,32811290,41731778,43930982,49848769,39825032,31142580,31142581,39825035,49762316,49762315,61241288,61414706,49936646,39918750,39918751,49162383,40919047,32141929,32141928,37529391,47437349,58824065,71552268,59085310,47685509,37763307,37763308,47685513,39938808,31263837,31263838,39938814,37763273,37763272,37763318,29298549,29298551,37867703,47792123,59192324,48647474,48647476,47434257,39743652,38002133,38002131,47917959,47959115,38045952,29482602,29482603,37526535,37526536,29201748,21889140,21889141,29201751,28985027,21702075,21702077,28985033,26678305,26678306,34671567,43945770,47685424,37763238,37763239,39467721,39467719,49396171,58820794,47434269,37526653,28982716,28982715,21889183,15812427,10957954,10957952,15812418,21889164,29201808,29783731,22418287,22418288,29783735,38356281,48204907,38295703,38295705,48204913,57722505,57722504,47760091,47760090,47685432,47685433,38313768,38313767,37933089,29366567,28985060,28985056,256889605,38313838,29745100,29745101,34674012,39825037,31142584,23655534,22385863,16227687,11281023,11281024,16227688,14211549,9769826,6423592,254313445,1397878,2414914,4029937,6423642,6868811,8579223,8579226,10419501,10419499,15106746,21032513,28229465,255102270,19664533,26398477,26651268,22412027,16248033,16248034,22412029,24824727,18332500,13013571,13013572,18332503,24824731,254795498,11627054,11627053,254795494,14085569,16400312,11416646,7587418,4799178,2892715,1678863,1678864,2892719,4799184,7587440,11416684,10725968,10725967,9688628,6372990,3999073,2396723,2396722,3999068,6372972,9688591,14085516,254545306,22618824,22923177,16688985,11650265,7762268,7762269,11650270,12031355,8088431,8088430,12031351,14212839,19839353,16210202,16210203,22363730,23396205,23390134,23390132,23390123,23390124,30819148,30820527,23391850,23391851,22789124,22103148,18846121,13427562,13427563,16570438,11551509,7685677,7685676,11551507,16570436,22786224,28623256,22797781,16580889,15478661,15478663,21482056,17121571,12032106,12032105,17121568,23393347,29335024,26398995,26398996,19833171,14207755,9767098,6421684,4028628,4028630,6421630,8088964,7732012,7732014,11612234,15159585,21104339,21104336,26396860,254366892,15026725,20934832,267881006,10694385,15466337,15466374,10694408,10694407,15466372,19663835,19663834,26397845,26904059,20021129,20021130,26904061,34984338,44362300,55213493 Dl.O(d2) = 58157622,46790242,46790241,257768048,46790246,257768046,36912646,28414959,21193188,15229773,254909764,4352075,2606462,2606460,4352067,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603544,7298627,11023865,15865531,14036486,14036487,17846729,12638173,12638172,17846727,24217146,30189263,38772773,36925195,28426544,21202960,21202959,21204052,15238222,10511890,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089203,6374471,6374470,9691384,14089317,9690793,9690790,9759764,7132469,7132468,10795226,15604143,19655897,19661098,14092996,9693199,6375425,6375423,9693193,12977340,12977341,11560997,11560996,15478661,15478663,21482056,17121571,12032106,12032105,17121568,23393347,29335024,26398995,26398996,19833171,14207755,9767098,6421684,4028628,4028630,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010802,1632530,2813923,4670510,7392745,7911437,11837930,8088050,5181996,3161698,1850890,1056323,1056324,1850894,3161708,5182022,8088070,8088068,12030792,15402523,19657837,14491289,9970675,9970676,14491292,17119845,12557647,12557648,17747654,13018076,8863461,5777599,5777600,8863465,13018082,18338672,21481036,21481035,21103924,15159204,10454363,7911489,5029459,5029461,7071681,10703945,12557641,13633039,11111454,10775690,7119786,6079909,3804339,3804344,6079926,9281610,255740570,37987613,29426229,22095455,15987217,15987216,21590921,15986353,11097925,11097924,11097948,7360038,7360035,11097965,15983545,11096181,11096180,15983543,22090336,29420938,35032183,26951825,26951824,35032182,26962462,26962463,26944972,20059762,20059763,26944975,29084862,29078375,21780422,21780423,29078377,37629061,47535101,39432400,30828293,23400563,17128371,17128372,20040813,14356111,9864115,9864113,14356106,11252174,11252175,16187660,22335105,19137458,17926393,12701622,9357970,9357971,13665101,11957566,11957565,17045040,23306104,30723732,26959220,20075534,14393057,9899342,9899341,14393054,11134004,7385142,4665624,4665623,7385138,11133998,14393142,14393141,20075600,26959262,254315592,14366468,14366466,20052075,26938017,26937991,26937990,32953050,32953051,39732107,39732108,47616723,47616724,47970641,39452570,35039204,35039203,44356667,44356668,41773642,255067728,18589876,18589875,22093799,22093798,29424554,254796216,11134133,7385215,7385047,7385046,11133816,16035083,22155795,29494777,38058115,38010874,29448638,22156494,16035612,268221817,255622229,26956466,20072401,20072399,26956463,22270365,16128911,11204215,7434363,7434365,11204221,16128923,20069933,16482791,16482792,17100434,17100435,23368931,30795101,26950012,20065254,20065256,16483745,16483744,22680188,16482488,11484389,7638672,7638670,11484383,254469600,13406798,13406797,18818713,25409539,33150036,254971018,21777041,15717802,15717801,21777036,254535124,32744638,32744636,33372876,42361837,44391319,254972456,20046886,20046887,20182291,20047004,14361194,14361193,20047000,26933244,35014828,28862010,28862011,30723871,37406332,37404161,37404162,38780976,48703448,55225215,255657540,33681734,262006963 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2428667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2429280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8287797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8287797, s2 = 8234465, int(edited[s2]) = 0 s1 = 8287797, s2 = 8234465, d1 = 14, d2 = 9 Dl.O(d1) = 257304513,26927367,268547187,38719507,38719503,38719504,48637415,58120418,58120419 Dl.O(d2) = 72767320,257557789,48637414,48637419,256433523 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2429868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7895697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7895697, s2 = 1920324, int(edited[s2]) = 0 s1 = 7895697, s2 = 1920324, d1 = 33, d2 = 2 Dl.O(d1) = 15728838,16014186,22129056,16292279,11335358,7532622,254357593,1667087,1667088,2872461 Dl.O(d2) = 49722903 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9095321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6825687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2430478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6792031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6792031, s2 = 10348225, int(edited[s2]) = 0 s1 = 6792031, s2 = 10348225, d1 = 25, d2 = 40 Dl.O(d1) = 258525221 Dl.O(d2) = 20067995,26952387,254470610,38632135,33150037,33150036,254971018,21777041,268046666,34981226,38632659,38632660,47901865,37985394,37985395,47901866,39029669,30440637,23033824,16790296,11739908,7838204,4975568,3005522,1745852,992603,992604,1745855,3005529,4975582,7838241,11739938,14383227,14383228,20067269,26951821,32852995,25146150,18590121,18590119,17589944,12416042,12416041,17589943,16483793,11485104,7639031,4832996,2912311,2912312,4833001,7639044,11485127,16483834,22682112,22682083,22682084,23400532,17128350,17128352,22682099,29577629,22230075,22230073,26932177,35013846,31385961,23889458,17542718,17542719,22679997,16482366,11484318,11484317,15722686,18589685,18589686,267886216,26951816,20067264,14383223,14383221,18725069,18725070,25299656,30554264,30554263,30828482,30828483,38632257,35032121,26951725,20067186,20067185,26951723,32852507,29687494,26947659,20062710,20062712,16790225,16790226,23033717,29083607,29083606,37633679,37405540,30828555,23400801,17128533,12037527,8092673,8092672,12037522,15986878,15986877,21823387,26932951,28386391,22094980,18239637,12938101,8802054,8802053,11568210,11568209,16588408,22805908,30196731,30196738,38781288,33149853,29130523,21823499,21823502,29130526,30724304,26938348,22155169,22155166,21076860,21076862,18787164,13381249,9146488,9146489,13381258,18787177,20045182,20045101,16034226,16034224,22154642,23932561,29577547,29577545,31422242,26954699,20070397,20070396,26954695,35018509,31020282,31020281,28864532,28864531,28334269,26925889,20040551,14355936,9864035,9864037,14355944,20040568,26901825,34981448,34981258,26901659,26901656,34981251,29078631,254688702,37403969,37403968,35016371,32327177,24711926,20067242,20067243,26951787,28863323,26951791,20067246,20067245,23479295,17196449,12092201,12092202,17196453,18588999,23405833,30834707,39438701,35008311,26926608,20041165,20041168,21823617,20068836,14385183,9890821,9890820,14384155,9889790,9889791,14384161,20047123,20047122,26933382,35014910,254687800,28385558,28385560,35019816,38630941,30056769,22680127,22680126,254214220,254687296,26947038,20062021,20062022,256740341,55250985,258150351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792031, s2 = 10348225, dlinesl.size( ) = 30 s1 = 7959515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7959515, s2 = 14563154, int(edited[s2]) = 0 s1 = 7959515, s2 = 14563154, d1 = 35, d2 = 15 Dl.O(d1) = 20066679,14382607,14355387,9863642,9863640,6504126,4075666,4075665,6504125,9889297,6498073,4071752,4071753,6498076,9889303,14383688,14380441,9886249,6495731,4070301,4070302,6495735,9886257,10895065,10811026,7143835,7143834,10811032,7199789,4536003,2726570,2726571,2434796,1408067,801143,801148,1408084,2434821,4069027,6493824,6506048,268047753,6507735,6507736,7193200,4531584,254747433,9869559,9869558,14362818,14372423,14372422,20057357,256739953 Dl.O(d2) = 60611456 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9704404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13503833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9492742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9170843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9170843, s2 = 14162973, int(edited[s2]) = 0 s1 = 9170843, s2 = 14162973, d1 = 0, d2 = 0 Dl.O(d1) = 27964688,36423084,269418794,83835597,71958484,59220169,57620190,47822007,37900149,29331527,268037916,15901093,22000872,29331525,29331523,29331522,37900145,37900147,46359404,36501389,36501390,46359405,47822005,47549213,47549214,58931482,71653375,85219158,99141779,113132161,123574743,109383245,95129144,81071019,67602884,55261182,44413697,35039408,26959640,20075975,14393521,9899788,9899787,9611879,6313421,267815399,1371873,1371875,2369798,254461057,9611895,13991688,255583242,16066795,19105016,13662932,9356464,254936725,9364465,6134036,6134037,8360836,8360835,7507506,7507507,11307719,16263790,16263794,22431187,28306761,28306760,25789191,25789192,24243003,24242978,17866995,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603065,12668223,13567060,9289023,6085106,6085107,9289016,12652271,12652270,13567646,13567647,19010112,17312476,255193232,12311368,254412226,23795732,24086003,24086004,23748241,17422813,12280055,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,8510831,5510711,5510709,8510825,254401444,8510811,12552570,12552577,12552578,268003142,17415748,17423623,12280783,12280784,17423710,17415736,12274922,12274923,17415738,268438187,41904486,32965287,25615410,19001608,13560772,9284357,9077619,9077618,13295734,14983586,15489278,10711109,8594433,5584239,3464592,3464593,5584241,8594437,10315330,9076774,5936036,5936034,6835439,4288849,4288848,4288823,2564183,2564187,1861203,1861206,3179620,3706645,254438795,9065697,13281542,18673513,15461492,15461493,18999921,13559450,13559451,13623968,19082534,19120156,19120157,23267143,25601459,18989337,13550329,9276244,9276243,13550325,18989331,17645859,12472502,8441906,5451215,5451216,8441909,12472506,255575979,25691541,19067144,13612224,9320886,9320887,13612227,19067147,25688873,19064754,17332697,17332699,13655356,13655357,17670814,13616682,9323821,6107482,3821422,2289521,1328380,1328382,2289533,3821446,6107532,9323909,13616810,19036696,13588638,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084064,8360811,5396567,5396565,8360805,12372866,17541833,14555427,14555426,20285457,25631174,25631172,29802286,22436260,22436261,25751954,25751953,25698266,24291032,17909279,12687882,8618642,5602986,5602988,8618647,11813197,11813198,16883647,23140311,16880140,16880138,22078166,29408786,22079384,17909249,12687865,12687862,11086307,11086306,15971465,22077213,22079474,22079219,22079220,22079179,15973488,11104431,11104430,7364345,7364346,11104533,15995942,22107293,254284222,15973536,15995965,22079593,15974072,15973847,11088506,7353733,7353734,11087149,7352620,7352619,11087144,15972460,22078210,17921320,12697645,8626454,8626455,11087193,7352650,7352649,11087189,15623719,11298857,11083135,7349356,4641928,4641929,7349360,7351773,7353852,4645304,4645303,7353846,11088622,15971389,11086226,11086227,15971401,11807692,11807691,11088324,7353718,4645184,2798081,1623126,1623124,2797514,2797512,4644245,4645070,7353552,11083111,7351765,7351766,7352714,7352712,11087267,11083128,7352702,7352703,7349231,7349230,7349649,11083398,7352687,4644502,4644504,7352651,7354114,7354115,11088887,15974094,15967691,11083137,7352299,7352297,11086811,15972077,16883041,22072682,22072683,22077176,15971394,15971395,15972565,16881976,11811514,11811513,254573826,15973816,11088480,11088481,15973819,15973900,11809435,7888230,5009890,5009891,7888232,7349315,4641899,4641900,7349233,4641909,3030158,1763083,1763082,3030154,4645485,2798253,2798252,4642190,4641883,2798269,2798270,2798262,1623219,1622635,1622636,2795863,4641931,7349367,7890914,5011839,3030538,1763327,1763326,3030535,5011835,7890911,11812618,15967730,11083193,7886781,7349302,4641891,2795839,1621675,922128,519841,519840,922124,1621670,2795826,4641870,4642440,2796221,1621939,922308,519956,519955,922303,922182,519896,291458,161247,88649,88647,161239,291440,519862,566088,317042,175295,96351,96350,175289,317033,566066,1004547,1763311,3030520,5011814,7887817,5009616,3029130,1762518,1004135,1004132,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,4594706,4594707,7286040,11006397,15877847,254329386,23142944,255019344,15968414,11083846,7350047,254763988,15968410,21971586,15877855,15877854,15877878,15204914,10487754,6915018,4343282,2600522,2600523,4343291,6915038,10487788,15204938,15204939,17956103,15206769,15206771,21163220,21163121,15206655,10489241,6916258,4344301,4344300,6916253,254721602,10422278,6871278,4313123,4313122,6871276,10422276,10489370,15206777,21163226,28234099,28234098,23138070,23138071,24287312,24287313,28380605,29403282,30557053,23139628,18921737,13489360,13489361,18921741,17145261,12049571,12049573,17145278,17906176,17906174,21162754,16418073,16418072,21036705,17906138,12685247,12685244,17906129,17913667,12691395,8621656,8621654,12691386,15205927,15205929,21162307,20814750,14918423,14918422,20814746,21971540,21971539,21036675,15110124,15110123,17917440,21036659,15110086,10422260,6871268,4313118,4313117,6871264,10422255,15110074,21036636,28234078,36728002,28379562,28379561,23039716,17145269,17145271,17145267,17145266,268067480,268067478,257104425,255813034,28379753,21162301,255812821,257419401,57991554,46615729,255782032,255782034,25340265,25340266,30853050,30853051,30260131,22864198,22864196,30260123,30260438,33069968,33293856,25532520,18921798,13489395,9229071,6044495,6044494,9229065,10258361,10258360,14918431,20814764,16996555,11910949,7967353,7967352,11910945,8623859,5974474,3736313,3736314,5974479,5607009,3481819,3481820,5607013,8623837,12694434,17917503,18760091,25340099,29460809,29406272,22075622,15970037,15970039,22075627,22863914,16636770,16636771,22863929,268650633,16636768,16636769,16364725,11388389,11388390,16364732,17906042,17093708,12006878,8063392,8063391,12006874,16637032,11605397,11605398,7725714,7725713,7725931,4890252,4890253,7725935,11605819,16636832,11605595,7725801,4890175,2946896,1709106,971542,547187,547185,971536,1709096,2946871,4890114,4890127,4890129,254536097,2882685,254536095,4783896,4783897,7565912,11388394,11388406,16364754,22539677,29895075,22864093,16636910,11605317,7725624,4890065,2946844,1709078,1709079,2946846,254547901,254536093,267791123,951543,536542,300850,166631,91749,91748,91744,91745,166628,300846,254168033,2882689,254782273,16364740,22539661,22540282,29895875,29895055,29895044,22539631,16364716,11388384,255476745,29895046,38452174,48354036,257536491,256413935,22539683,16364759,11388412,7565923,7565922,255476749,16364720,11388386,7565906,4783895,254536099,255097521,22539639,29895042,29895041,256956349,269815467,86070811,100034170,259394801,72472635,59737481,59737482,72472637,59737484,59737476,48354030,38452168,38452167,38452193,29895074,22539681,16364756,16364755,22539679,29895054,38452180,47756233,37833689,37833691,47756236,48354031,55241408,44392737,44392736,47756229,59154862,71892391,256956358,59737475,59154865,48354057,255916890,73535780,72472646,59737490,48354042,38452175,37833681,29267543,21945336,15856432,255438533,29267540,26935178,20048967,20048968,26935182,35016538,44392743,49461036,49461035,47403519,47403520,47756177,37833582,29267441,21945251,15856371,10990243,7275312,7275313,10990249,15856384,21945270,29267467,37581293,37581291,30917292,23480311,23480312,17197288,12092766,8132251,8132252,12092770,15856453,10990285,7275334,4588205,4588204,7275330,10990276,15856435,21945343,29267549,37833686,39527567,39527566,37328820,28791803,21527160,21527161,28791806,21945302,21945303,29267501,37833635,37582030,29034633,21743007,255419406,256345626,38843787,38843786 Dl.O(d2) = 27964688,36423084,269418794,83835597,71958484,59220169,57620190,47822007,37900149,29331527,268037916,15901093,22000872,29331525,29331523,29331522,37900145,37900147,46359404,36501389,36501390,46359405,47822005,47549213,47549214,58931482,71653375,85219158,99141779,113132161,123574743,109383245,95129144,81071019,67602884,55261182,44413697,35039408,26959640,20075975,14393521,9899788,9899787,9611879,6313421,267815399,1371873,1371875,2369798,254461057,9611895,13991688,255583242,16066795,19105016,13662932,9356464,254936725,9364465,6134036,6134037,8360836,8360835,7507506,7507507,11307719,16263790,16263794,22431187,28306761,28306760,25789191,25789192,24243003,24242978,17866995,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603065,12668223,13567060,9289023,6085106,6085107,9289016,12652271,12652270,13567646,13567647,19010112,17312476,255193232,12311368,254412226,23795732,24086003,24086004,23748241,17422813,12280055,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,8510831,5510711,5510709,8510825,254401444,8510811,12552570,12552577,12552578,268003142,17415748,17423623,12280783,12280784,17423710,17415736,12274922,12274923,17415738,268438187,41904486,32965287,25615410,19001608,13560772,9284357,9077619,9077618,13295734,14983586,15489278,10711109,8594433,5584239,3464592,3464593,5584241,8594437,10315330,9076774,5936036,5936034,6835439,4288849,4288848,4288823,2564183,2564187,1861203,1861206,3179620,3706645,254438795,9065697,13281542,18673513,15461492,15461493,18999921,13559450,13559451,13623968,19082534,19120156,19120157,23267143,25601459,18989337,13550329,9276244,9276243,13550325,18989331,17645859,12472502,8441906,5451215,5451216,8441909,12472506,255575979,25691541,19067144,13612224,9320886,9320887,13612227,19067147,25688873,19064754,17332697,17332699,13655356,13655357,17670814,13616682,9323821,6107482,3821422,2289521,1328380,1328382,2289533,3821446,6107532,9323909,13616810,19036696,13588638,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084064,8360811,5396567,5396565,8360805,12372866,17541833,14555427,14555426,20285457,25631174,25631172,29802286,22436260,22436261,25751954,25751953,25698266,24291032,17909279,12687882,8618642,5602986,5602988,8618647,11813197,11813198,16883647,23140311,16880140,16880138,22078166,29408786,22079384,17909249,12687865,12687862,11086307,11086306,15971465,22077213,22079474,22079219,22079220,22079179,15973488,11104431,11104430,7364345,7364346,11104533,15995942,22107293,254284222,15973536,15995965,22079593,15974072,15973847,11088506,7353733,7353734,11087149,7352620,7352619,11087144,15972460,22078210,17921320,12697645,8626454,8626455,11087193,7352650,7352649,11087189,15623719,11298857,11083135,7349356,4641928,4641929,7349360,7351773,7353852,4645304,4645303,7353846,11088622,15971389,11086226,11086227,15971401,11807692,11807691,11088324,7353718,4645184,2798081,1623126,1623124,2797514,2797512,4644245,4645070,7353552,11083111,7351765,7351766,7352714,7352712,11087267,11083128,7352702,7352703,7349231,7349230,7349649,11083398,7352687,4644502,4644504,7352651,7354114,7354115,11088887,15974094,15967691,11083137,7352299,7352297,11086811,15972077,16883041,22072682,22072683,22077176,15971394,15971395,15972565,16881976,11811514,11811513,254573826,15973816,11088480,11088481,15973819,15973900,11809435,7888230,5009890,5009891,7888232,7349315,4641899,4641900,7349233,4641909,3030158,1763083,1763082,3030154,4645485,2798253,2798252,4642190,4641883,2798269,2798270,2798262,1623219,1622635,1622636,2795863,4641931,7349367,7890914,5011839,3030538,1763327,1763326,3030535,5011835,7890911,11812618,15967730,11083193,7886781,7349302,4641891,2795839,1621675,922128,519841,519840,922124,1621670,2795826,4641870,4642440,2796221,1621939,922308,519956,519955,922303,922182,519896,291458,161247,88649,88647,161239,291440,519862,566088,317042,175295,96351,96350,175289,317033,566066,1004547,1763311,3030520,5011814,7887817,5009616,3029130,1762518,1004135,1004132,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,4594706,4594707,7286040,11006397,15877847,254329386,23142944,255019344,15968414,11083846,7350047,254763988,15968410,21971586,15877855,15877854,15877878,15204914,10487754,6915018,4343282,2600522,2600523,4343291,6915038,10487788,15204938,15204939,17956103,15206769,15206771,21163220,21163121,15206655,10489241,6916258,4344301,4344300,6916253,254721602,10422278,6871278,4313123,4313122,6871276,10422276,10489370,15206777,21163226,28234099,28234098,23138070,23138071,24287312,24287313,28380605,29403282,30557053,23139628,18921737,13489360,13489361,18921741,17145261,12049571,12049573,17145278,17906176,17906174,21162754,16418073,16418072,21036705,17906138,12685247,12685244,17906129,17913667,12691395,8621656,8621654,12691386,15205927,15205929,21162307,20814750,14918423,14918422,20814746,21971540,21971539,21036675,15110124,15110123,17917440,21036659,15110086,10422260,6871268,4313118,4313117,6871264,10422255,15110074,21036636,28234078,36728002,28379562,28379561,23039716,17145269,17145271,17145267,17145266,268067480,268067478,257104425,255813034,28379753,21162301,255812821,257419401,57991554,46615729,255782032,255782034,25340265,25340266,30853050,30853051,30260131,22864198,22864196,30260123,30260438,33069968,33293856,25532520,18921798,13489395,9229071,6044495,6044494,9229065,10258361,10258360,14918431,20814764,16996555,11910949,7967353,7967352,11910945,8623859,5974474,3736313,3736314,5974479,5607009,3481819,3481820,5607013,8623837,12694434,17917503,18760091,25340099,29460809,29406272,22075622,15970037,15970039,22075627,22863914,16636770,16636771,22863929,268650633,16636768,16636769,16364725,11388389,11388390,16364732,17906042,17093708,12006878,8063392,8063391,12006874,16637032,11605397,11605398,7725714,7725713,7725931,4890252,4890253,7725935,11605819,16636832,11605595,7725801,4890175,2946896,1709106,971542,547187,547185,971536,1709096,2946871,4890114,4890127,4890129,254536097,2882685,254536095,4783896,4783897,7565912,11388394,11388406,16364754,22539677,29895075,22864093,16636910,11605317,7725624,4890065,2946844,1709078,1709079,2946846,254547901,254536093,267791123,951543,536542,300850,166631,91749,91748,91744,91745,166628,300846,254168033,2882689,254782273,16364740,22539661,22540282,29895875,29895055,29895044,22539631,16364716,11388384,255476745,29895046,38452174,48354036,257536491,256413935,22539683,16364759,11388412,7565923,7565922,255476749,16364720,11388386,7565906,4783895,254536099,255097521,22539639,29895042,29895041,256956349,269815467,86070811,100034170,259394801,72472635,59737481,59737482,72472637,59737484,59737476,48354030,38452168,38452167,38452193,29895074,22539681,16364756,16364755,22539679,29895054,38452180,47756233,37833689,37833691,47756236,48354031,55241408,44392737,44392736,47756229,59154862,71892391,256956358,59737475,59154865,48354057,255916890,73535780,72472646,59737490,48354042,38452175,37833681,29267543,21945336,15856432,255438533,29267540,26935178,20048967,20048968,26935182,35016538,44392743,49461036,49461035,47403519,47403520,47756177,37833582,29267441,21945251,15856371,10990243,7275312,7275313,10990249,15856384,21945270,29267467,37581293,37581291,30917292,23480311,23480312,17197288,12092766,8132251,8132252,12092770,15856453,10990285,7275334,4588205,4588204,7275330,10990276,15856435,21945343,29267549,37833686,39527567,39527566,37328820,28791803,21527160,21527161,28791806,21945302,21945303,29267501,37833635,37582030,29034633,21743007,255419406,256345626,38843787,38843786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9170843, s2 = 14162973, dlinesl.size( ) = 2 s1 = 9170843, s2 = 14162973, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9170843, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 2001509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10136896, s2 = 2762984, int(edited[s2]) = 0 s1 = 10136896, s2 = 2762984, d1 = 31, d2 = 20 Dl.O(d1) = 254242106 Dl.O(d2) = 81077287 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2432080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10197234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9132768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9132768, s2 = 2283310, int(edited[s2]) = 0 s1 = 9132768, s2 = 2283310, d1 = 168, d2 = 170 Dl.O(d1) = 88427817,88427818,258219370,67610152,257548650,44421539,55268900,67610155,67610139,55268888,44421531,44421532,255926776,55268887,44421530,35046978,35046977,44421528,55268882 Dl.O(d2) = 259938802,269787214,98901499,84976459,84976460,257458054,97784818,83926043,70399822,57705839,46356537,36498473,28035476,20867611,14965557,10298035,268062755,20867608,28035471,36498464,33003179,33003180,38950753,38950752,31187745,256878088,61372899,255042202 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8079454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2432229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343727, s2 = 3605439, int(edited[s2]) = 0 s1 = 10343727, s2 = 3605439, d1 = 39, d2 = 26 Dl.O(d1) = 25015143,25949075,20184707,20184708,27082810,35171165,35171025,255606976,35166964,27079135,255214018,268550861 Dl.O(d2) = 123586383 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2328792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2432656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9582364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6475121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2434428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6632063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2434501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2868770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1379054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1379054, s2 = 14305181, int(edited[s2]) = 0 s1 = 1379054, s2 = 14305181, d1 = 30, d2 = 42 Dl.O(d1) = 35101328,35101329,44478415,55324588,67664553,80897629,81131419 Dl.O(d2) = 13580893,19026699,13672721,9363133,9363132,9363119,9363076,6133015,6133014,9363072,13672634,19148161,254952362,13620613,19078376,25705020,25608744,18996117,13556349,13556348,18996114,25608741,25755346,25755347,25628248,19013085,255303375,6341245,3978404,3978405,6341248,9644660,14028705,19581256,26304288,25593473,18983970,13546821,9273967,9273966,13546492,9273838,9273839,9299274,9299277,6091892,6091890,6106707,9299475,6092132,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9320122,13581658,13630261,19008362,25588576,18979676,13543300,9271519,9271520,13543302,255674081,13580902,9299089,9299088,13580899,268300913,33410957,25714761,25714762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1379054, s2 = 14305181, dlinesl.size( ) = 2 s1 = 1379054, s2 = 14305181, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1379054, Dl.E( ) = 46, 2e-05 seconds used appending s1 = 2435637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13524317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13524317, s2 = 13496412, int(edited[s2]) = 0 s1 = 13524317, s2 = 13496412, d1 = 55, d2 = 43 Dl.O(d1) = 38294023,41350482,41350485,51572136,63290357,72324281 Dl.O(d2) = 269073209,33050085,25321624,18742783,13342674,9116140,9116141,13342677,18742791,25321638,33050101,41993544,52332783,64182957,77330237,91249882,105471960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13524317, s2 = 13496412, dlinesl.size( ) = 2 s1 = 13524317, s2 = 13496412, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13524317, Dl.E( ) = 68, 2.29e-05 seconds used appending s1 = 3072331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3072331, s2 = 6782837, int(edited[s2]) = 0 s1 = 3072331, s2 = 6782837, d1 = 34, d2 = 23 Dl.O(d1) = 95201642,95201643,95201644,81144847,67679001 Dl.O(d2) = 258401393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3072331, s2 = 6782837, dlinesl.size( ) = 18 s1 = 6895023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2086565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6510158, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2740601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2740601, s2 = 14546054, int(edited[s2]) = 0 s1 = 2740601, s2 = 14546054, d1 = 8, d2 = 12 Dl.O(d1) = 79089703,65734132,65734131 Dl.O(d2) = 29689222,256222778,55347006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2740601, s2 = 14546054, dlinesl.size( ) = 2 s1 = 2740601, s2 = 14546054, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2740601, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 1728605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340047, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2437812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2437812, s2 = 6632546, int(edited[s2]) = 0 s1 = 2437812, s2 = 6632546, d1 = 2, d2 = 20 Dl.O(d1) = 67704828 Dl.O(d2) = 256749689,20175128,20175127,27070174,35156034,257316561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2437812, s2 = 6632546, dlinesl.size( ) = 8 s1 = 8387748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8387748, s2 = 9500326, int(edited[s2]) = 0 s1 = 8387748, s2 = 9500326, d1 = 31, d2 = 37 Dl.O(d1) = 260405924,81195402,67729972,55389582,55389583,67729974,81195406,95251622,271660525,261560270,123697725,137427829,272781317,137427870,150465274,150465275,150465267,137427853,137427852,150465266,262090188,260997450,95251623,259165978,55389584 Dl.O(d2) = 137427877,123697779,109505933,259793382,67729976,55389585,44542378,44542377,55389583,67729974,81195406,95251622,109505930,123697775,261560272,95251591,95251590,109505888,260406355,137427840,137427844,150465258,162591001,173618497,263439235,192017429,183463098,173677223,162655818,150536590,261288312,109595008,95341968,81284667,67817377,55474896,44624807,268968450,46980013,37096504,28589895,21358575,15380844,10628912,10628911,15380842,21358572,28589890,268917577,58349387,71065660,62107578,269011429,40567026,50608365,258671927,74911747,62107595,50608383,40567043,31865141,31865142,40567045,50608388,62107600,62107559,50608346,50608345,62107558,71065663,71065662,62107554,50608343,40567012,31865124,24342689,24342688,31865122,40567008,40567027,40567028,50608337,50608336,40567055,31865148,24342702,24342703,31865149,40567056,50608401,62107550,50608340,50608339,258302185,74911704,62107543,257109571,31865120,255599821,12721244,12721243,17951954,24342685,31865115,40566997,50608328,62107526,74911682,62107537,50608333,269417081,62107604,62107603,258925257,88550382,74911693,74911694,88550384,102556976,102556953,88550364,74911755,74911697,74911698,74911689,62107531,50608330,257692855,74911691,270923981,102556958,88550387,88550386,102556978,260762169,116655808,102557009,88550413,88550412,102557006,116655848,130494113,116655825,102556972,88550401,88550402,102556991,116655816,116655815,272280971,130494119,261332755,130494117,116655814,102556961,102556960,116655812,102556968,88550379,88550380,102556970,102557004,102557005,102557001,258925253,62107583,62107582,74911741,88550409,102556999,116655845,130494148,261332747,116655838,116655837,130494139,143818032,156339774,156339787,143818042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8387748, s2 = 9500326, dlinesl.size( ) = 32 s1 = 9661165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656010, s2 = 11895191, int(edited[s2]) = 0 s1 = 11656010, s2 = 11895191, d1 = 1, d2 = 1 Dl.O(d1) = 5111144,3103603,254381327,8022306,11976007,17066459,23107795,17066457,17066456,23332982,23646103,23363779,23363778,23363773,17094731,17094730,23363771,30789448,39123621,30789446,30789447,39391962,31133807,23646105,23646104,31133804,37378387,28838027,22520884,22520885,22517155,16343711,16343713,21099661,15156016,15156015,21099659,16343802,11372090,11372089,16343742,15883773,11010641,7288916,7288915,11010640,15883771,254581080,255158744,22650808,22650809,254347248,12139405,12139406,17259409,16325588,254122920,8188453,8188452,8188323,5257857,3213756,3213755,5257851,8188312,12157678,17278055,23589740,29884052,23655299,17338404,17333385,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500673,17259533,17259532,22513799,16340115,16340116,17296317,16048640,16048641,22010856,22010857,16230166,16230167,22389127,22505789,21099452,15155854,10452259,6890146,6890149,10452265,15155864,21099463,23632677,255107146,21099138,21099139,18594937,18594936,13852353,13852354,254338062,15156526,10452675,255016315,21100279,28310317,36807136,46690938,38424742,29859956,22496593,22496592,29859953,36807131,28441742,21216152,21216151,28441740,36941207,46790896,36941201,28493512,21276563,21276562,28493510,36931376,255816759,255816757,36913339,28415674,21195005,21195006,21276560,15314709,10577347,10577348,15314711,255021955,6934175,4357092,2610264,2610265,4357094,2611864,2611863,4359154,4361272,4353455,2607475,2607477,267763689,482922,271737,150636,150637,271739,482925,855087,855745,483306,483304,855742,1509032,2613429,4361351,6940106,255022795,21223061,28449652,36949902,46827974,268914401,28449646,36949913,46827996,58194010,46827964,36949887,36949888,46827966,36949893,28449631,28449630,21223056,15253443,15253442,21223055,28449643,36949906,46827987,58194026,70906727,84462986,98372163,112354325,126214050,139588336,261807186,129220173,115291730,101213381,101213380,87212402,87212401,101213377,87212407,73590142,73590139,60840465,60840464,73590137,60840463,49438762,268665998,30900301,39507831,257617603,73590141,87212406,100799045,100799046,86817843,86817844,100799040,86817837,86817836,86817835,257617604,60457668,60457670,60457669,73204859,73204856,70400900,70400901,73204860,73590132,73590133,64140068,52288059,41947446,33005284,25280362,256113765,25280364,18707629,18707630,25280366,33005290,36499880,36499847,28036632,20868577,14966400,14966402,10298773,6771510,4244248,4244247,6771507,10298766,10298767,14966407,14966409,14966408,20868587,28036643,36499862,46357936,41947464,41947463,52288068,64140076,77289042,70518174,63837380,63837381,76944418,83927099,70400893,57707028,269762029,46357931,36499859,32795297,32795296,41711689,52022416,63837382,63837383,76944421,90819927,86477421,72882015,60145519,60145518,48751194,38831119,30247608,22853133,16627943,16627942,268415701,38831117,48751191,60145517,60145513,60145512,72882009,60145524,48751197,48751196,60145522,72882021,258400556,114459150,114459149,100434610,100434607,86477410,86477411,100434609,100434621,100434622,100434636,86477441,86477440,100434634,114459167,128336054,141685456,154337535,154337534,154337536,154337533,141685446,128336046,128336047,128336050,141685451,150499223,150499224,162622803,150499228,137464363,123736940,109545208,95290418,81232621,67766692,55427020,44580014,35201882,35201881,268427402,48150194,58640491,71376744,84952384,98877958,109545184,123736925,123736938,129033709,115104901,101030524,87034270,77592443,64423854,64423853,55427008,256229022,256229020,255336588,64423851,256229018,30744843,30744844,39343989,49269675,60669679,73416824,87034278,256229024,256229026,257320404,49269672,49269673,60669676,73416820,87034272,95290390,81232591,81232590,256754478,91523412,91523413,268830156,99426585,99426586,101030526,115104905,259169096,113428931,259392346,73416817,257919723,55426995,258540097,71899811,59161706,258102361,73416818,67766661,67766662,71899814,71899812,85484834,85484832,71899816,71899817,85484838,85484839,258775276,47763050,47763049,59161713,60669681,60669680,72503456,59769275,48386466,47020365,37132923,28620794,28620793,37132920,47020359,55304385,55304384,58391526,58391525,58734822,47347046,37440065,28899878,255415479,15594074,21624776,21326182,21326181,28550931,37050746,28899871,28899870,28899869,37440060,47347041,58734816,71464501,85036399,259010268,120847586,112950333,99370472,85429550,259346407,113370626,261142207,152976871,261424578,133550447,133550446,270831318,113085950,119675277,105436870,271527977,272695731,140606113,260567383,113402210,127260437,140286753,126939020,126939019,259643542,146809174,152976873,140286766,126939048,126939040,113085952,99098760,99098759,113085951,126939039,113085956,99098763,99098742,99098743,99098746,99098747,113085944,126939033,126939026,126939027,140286758,140286760,126939028,126939029,140286754,140286755,126939045,260567384,152976868,152976867,140286770,126939044,258723990,85177063,85177064,260553935,140286773,259427932,270831324,113085953,126939042,129125450,115193692,101115687,87117719,73499063,60750160,49347315,49347311,39417815,39417816,49347310,60750154,73499059,73499073,73499072,87117708,87117707,101115679,87117714,87117713,101115686,260680277,129125455,115193699,101115689,101115688,115193696,129125440,115193685,101115683,101115684,115193687,129125444,142502608,146712283,133465820,119601936,119601935,119601938,105371517,91153684,77238083,77238081,64093786,64093785,258764969,99958782,113981530,113981532,99958784,86000151,72403934,72403935,86000153,99958789,113981539,127859270,113981537,113981538,260008093,86000153,99958788,113981538,260608203,99958781,99958782,113981530,113981532,271807049,261732637,141218216,153890033,261185243,113981528,127859266,127859269,113981531,113981530,113981533,113981534,127859263,127859264,127859265,141218216,153890033,261732639,127859269,113981531,113981530,113981532,99958784,86000151,72403932,72403933,86000152,99958786,113981534,272884058,99958780,86000148,72403928,72403927,85999553 Dl.O(d2) = 5111144,3103603,254381327,8022306,11976007,17066459,23107795,17066457,17066456,23332982,23646103,23363779,23363778,23363773,17094731,17094730,23363771,30789448,39123621,30789446,30789447,39391962,31133807,23646105,23646104,31133804,37378387,28838027,22520884,22520885,22517155,16343711,16343713,21099661,15156016,15156015,21099659,16343802,11372090,11372089,16343742,15883773,11010641,7288916,7288915,11010640,15883771,254581080,255158744,22650808,22650809,254347248,12139405,12139406,17259409,16325588,254122920,8188453,8188452,8188323,5257857,3213756,3213755,5257851,8188312,12157678,17278055,23589740,29884052,23655299,17338404,17333385,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500673,17259533,17259532,22513799,16340115,16340116,17296317,16048640,16048641,22010856,22010857,16230166,16230167,22389127,22505789,21099452,15155854,10452259,6890146,6890149,10452265,15155864,21099463,23632677,255107146,21099138,21099139,18594937,18594936,13852353,13852354,254338062,15156526,10452675,255016315,21100279,28310317,36807136,46690938,38424742,29859956,22496593,22496592,29859953,36807131,28441742,21216152,21216151,28441740,36941207,46790896,36941201,28493512,21276563,21276562,28493510,36931376,255816759,255816757,36913339,28415674,21195005,21195006,21276560,15314709,10577347,10577348,15314711,255021955,6934175,4357092,2610264,2610265,4357094,2611864,2611863,4359154,4361272,4353455,2607475,2607477,267763689,482922,271737,150636,150637,271739,482925,855087,855745,483306,483304,855742,1509032,2613429,4361351,6940106,255022795,21223061,28449652,36949902,46827974,268914401,28449646,36949913,46827996,58194010,46827964,36949887,36949888,46827966,36949893,28449631,28449630,21223056,15253443,15253442,21223055,28449643,36949906,46827987,58194026,70906727,84462986,98372163,112354325,126214050,139588336,261807186,129220173,115291730,101213381,101213380,87212402,87212401,101213377,87212407,73590142,73590139,60840465,60840464,73590137,60840463,49438762,268665998,30900301,39507831,257617603,73590141,87212406,100799045,100799046,86817843,86817844,100799040,86817837,86817836,86817835,257617604,60457668,60457670,60457669,73204859,73204856,70400900,70400901,73204860,73590132,73590133,64140068,52288059,41947446,33005284,25280362,256113765,25280364,18707629,18707630,25280366,33005290,36499880,36499847,28036632,20868577,14966400,14966402,10298773,6771510,4244248,4244247,6771507,10298766,10298767,14966407,14966409,14966408,20868587,28036643,36499862,46357936,41947464,41947463,52288068,64140076,77289042,70518174,63837380,63837381,76944418,83927099,70400893,57707028,269762029,46357931,36499859,32795297,32795296,41711689,52022416,63837382,63837383,76944421,90819927,86477421,72882015,60145519,60145518,48751194,38831119,30247608,22853133,16627943,16627942,268415701,38831117,48751191,60145517,60145513,60145512,72882009,60145524,48751197,48751196,60145522,72882021,258400556,114459150,114459149,100434610,100434607,86477410,86477411,100434609,100434621,100434622,100434636,86477441,86477440,100434634,114459167,128336054,141685456,154337535,154337534,154337536,154337533,141685446,128336046,128336047,128336050,141685451,150499223,150499224,162622803,150499228,137464363,123736940,109545208,95290418,81232621,67766692,55427020,44580014,35201882,35201881,268427402,48150194,58640491,71376744,84952384,98877958,109545184,123736925,123736938,129033709,115104901,101030524,87034270,77592443,64423854,64423853,55427008,256229022,256229020,255336588,64423851,256229018,30744843,30744844,39343989,49269675,60669679,73416824,87034278,256229024,256229026,257320404,49269672,49269673,60669676,73416820,87034272,95290390,81232591,81232590,256754478,91523412,91523413,268830156,99426585,99426586,101030526,115104905,259169096,113428931,259392346,73416817,257919723,55426995,258540097,71899811,59161706,258102361,73416818,67766661,67766662,71899814,71899812,85484834,85484832,71899816,71899817,85484838,85484839,258775276,47763050,47763049,59161713,60669681,60669680,72503456,59769275,48386466,47020365,37132923,28620794,28620793,37132920,47020359,55304385,55304384,58391526,58391525,58734822,47347046,37440065,28899878,255415479,15594074,21624776,21326182,21326181,28550931,37050746,28899871,28899870,28899869,37440060,47347041,58734816,71464501,85036399,259010268,120847586,112950333,99370472,85429550,259346407,113370626,261142207,152976871,261424578,133550447,133550446,270831318,113085950,119675277,105436870,271527977,272695731,140606113,260567383,113402210,127260437,140286753,126939020,126939019,259643542,146809174,152976873,140286766,126939048,126939040,113085952,99098760,99098759,113085951,126939039,113085956,99098763,99098742,99098743,99098746,99098747,113085944,126939033,126939026,126939027,140286758,140286760,126939028,126939029,140286754,140286755,126939045,260567384,152976868,152976867,140286770,126939044,258723990,85177063,85177064,260553935,140286773,259427932,270831324,113085953,126939042,129125450,115193692,101115687,87117719,73499063,60750160,49347315,49347311,39417815,39417816,49347310,60750154,73499059,73499073,73499072,87117708,87117707,101115679,87117714,87117713,101115686,260680277,129125455,115193699,101115689,101115688,115193696,129125440,115193685,101115683,101115684,115193687,129125444,142502608,146712283,133465820,119601936,119601935,119601938,105371517,91153684,77238083,77238081,64093786,64093785,258764969,99958782,113981530,113981532,99958784,86000151,72403934,72403935,86000153,99958789,113981539,127859270,113981537,113981538,260008093,86000153,99958788,113981538,260608203,99958781,99958782,113981530,113981532,271807049,261732637,141218216,153890033,261185243,113981528,127859266,127859269,113981531,113981530,113981533,113981534,127859263,127859264,127859265,141218216,153890033,261732639,127859269,113981531,113981530,113981532,99958784,86000151,72403932,72403933,86000152,99958786,113981534,272884058,99958780,86000148,72403928,72403927,85999553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656010, s2 = 11895191, dlinesl.size( ) = 2 s1 = 11656010, s2 = 11895191, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11656010, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 6537380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2091365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2091365, s2 = 2109100, int(edited[s2]) = 0 s1 = 2091365, s2 = 2109100, d1 = 3, d2 = 12 Dl.O(d1) = 55427826 Dl.O(d2) = 57707425,46358344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2091365, s2 = 2109100, dlinesl.size( ) = 14 s1 = 7961145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 528124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8113539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8113539, s2 = 6793999, int(edited[s2]) = 0 s1 = 8113539, s2 = 6793999, d1 = 0, d2 = 0 Dl.O(d1) = 14512388,255754397,35222815,44603591,55452390,258541745 Dl.O(d2) = 14512388,255754397,35222815,44603591,55452390,258541745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8113539, s2 = 6793999, dlinesl.size( ) = 2 s1 = 8113539, s2 = 6793999, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8113539, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13276211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8176592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2093049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2443207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9121658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356155, s2 = 10353960, int(edited[s2]) = 0 s1 = 10356155, s2 = 10353960, d1 = 69, d2 = 23 Dl.O(d1) = 260719601,261834719,167356776,262314030,261258258,129468423,115583396,101547350,87585001,73984508,61205138,49726368,39707826,31087282,256741914,24047815,17694860,17694861,24047817,31551660,40237606,38947797,30361728,22960474,22960473,28112949,36585465,46451216,44796127,35371373,35371372,44796126,47817141,42814632,35371370,28089157,268539358,255317202,32152215,32152216,25685093,19061555,13607835,10997157,7279910,4591223,2762298,1601354,910572,910570,1601430,2762467,4591541,7280561,7768581,7768582,11657135,255506583,255789503,255002539,6791234,6791235,254912407,7481441,6768666,6768659,4242138,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8001113,8001112,6780649,6780648,7576207,4791797,4791798,6788548,10312296,9084045,9084044,13302460,14951543,11401882,11401881,8327378,8327379,12327126,10337660,255004293,15028625,13276263,9061011,5924532,5924522,5924523,9060997,13276249,10317827,10317828,14984722,14984723,17889053,17889054,20937788,20937787,19075616,19075615,20944700,258010837,64108437,258384485 Dl.O(d2) = 261694277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10215073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14560051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14560051, s2 = 6737693, int(edited[s2]) = 0 s1 = 14560051, s2 = 6737693, d1 = 6, d2 = 6 Dl.O(d1) = 257788614,44661871,55523035,257896372,46497735,57853677,57853651,57853650,57684913,46337753,46337752,57684910,46337757,46337758,57684922,59202937,48727349,38806683,38806680,256809464 Dl.O(d2) = 257788614,44661871,55523035,257896372,46497735,57853677,57853651,57853650,57684913,46337753,46337752,57684910,46337757,46337758,57684922,59202937,48727349,38806683,38806680,256809464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14560051, s2 = 6737693, dlinesl.size( ) = 2 s1 = 14560051, s2 = 6737693, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14560051, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 6635369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2332986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9386972, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6748829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6748829, s2 = 11657779, int(edited[s2]) = 0 s1 = 6748829, s2 = 11657779, d1 = 14, d2 = 18 Dl.O(d1) = 258053252 Dl.O(d2) = 55655859,44747720,257929299,42500591,33501942,33501943,42500593,52910128,256963928,87586116,267893852,23550653,23550652,26315773,19590440,14036214,14036215,9694840,6376308,6376309,9694842,14095756,268089618,20968851,20968850,19661474,255119030,9693356,12491519,255534663,30821291,30911611,23475530,23475529,25590321,18981070,13544514,9272453,6073797,6073798,9272455,13544516,18981074,256139127,42332468,52491994,42135094,256126493,254920687,9176987,13422237 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2445039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2445039, s2 = 1970343, int(edited[s2]) = 0 s1 = 2445039, s2 = 1970343, d1 = 6, d2 = 9 Dl.O(d1) = 68052794 Dl.O(d2) = 50881266,40765421,40765404,40765403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2445039, s2 = 1970343, dlinesl.size( ) = 8 s1 = 9610603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 119924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 119924, s2 = 15912342, int(edited[s2]) = 0 s1 = 119924, s2 = 15912342, d1 = 26, d2 = 32 Dl.O(d1) = 2665261,4438290,7051200,10675406,15441288,15104809,10418139,10418138,15104808,21029699,28225824,36719299,46607481,57984328,57984321,46907473,37030153,28531962,28531960,255375926,58272686,61714868,50235754,50235755,41655242,32745076,30621156,23199480,16930429,11849371,7919716,7919717,11849368,11849369,16930423,23199470,30621141,39218280,49144784,60544108,51962595,51962594,49144825,39218301,39218300,49144820,41655022,39220030,30622794,30622793,39220024,49146469,51962555,48931912,48931911,39218468,257141839,32316036,24702083,24702081,32316034,41129352,47312370,39165538,39165537,49095680,58488925,48931921,39008231,39008232,48931923,60329982,58701998,58701999,71434080,84030268,70495292,58700735,47310718,47310717,255306848,37403078,28861501,28861502,37403081,47312490,51656725,47311675,37402261,37402262,47311676,49436903,39506056,30898656,23465167,17185618,17185619,23465170,30898663,258847907,258273412,257081320,49095787,39165627,39165626,47311681,47311682,39255899,39255898,37400377,28859106,28859069,21585584,15560801,10763109,7111493,4477654,4477655,7111495,10763114,15560810,21568204,28839693,37379890,37401337,37401338,37379887,37379886,254583914,17512949,16313107,11349829,11349826,16313104,22484961,29850193,37400360,37401254,28859955,21586357,15561384,10763527,7111779,7111780,10763532,15561391,21586372,28859971,30182264,31360141,256504996,21979873,15884759,11011437,11011436,15884755,18055283,24476812,21215227,15247185,15247184,18194108,12904684,8778383,5717241,5717242,254891655,18194111,24651573,32250332,256174561,26143778,20966726,15057001,10382705,10382706,14552930,10014182,10014183,12567683,255584441,20281102,256762449,55671006 Dl.O(d2) = 4043419,4043414,6448748,9813673,14282466,19942988,26800811,34851262,44200805,55028922,67359573,79823958,83881990,83881987,80235117,66807110,260967171,258588896,256787012,55077178,256787010,43786496,34533445,34533448,43786503,43788915,34534957,34534958,43788920,47185024,269784721,89234242,89234241,103328081,117461341,123449405,261545785,261585658,136612006,149685426,149685427,261458658,271697846,109183703,258574234,67387562,67387563,80855057,94657090,108925114,96318310,82307873,82307874,72008118,59272378,47876904,37958905,29394290,22063923,20105446,20105445,23737812,23737811,19858226,14227223,14227222,19858225,23216578,16944350,11859069,11859070,12025374,12025375,16273282,19212093,19212091,23216583,23216584,30639793,23216612,16944375,16944374,16944312,11859047,11859046,16944309,255969829,39237831,49164632,49164650,39237843,30639745,30639744,256268615,20812257,20812258,27975789,36434579,46287612,49164687,46287613,39416412,30811324,30811326,23382799,17112281,17112280,268427765,23216515,16944308,11859045,255138227,23216518,30639737,39237829,30811336,30811337,39416426,39416430,39416429,49345927,49345920,39416417,30811375,30811372,256190806,39237762,46287615,36434584,36434583,39237745,39237908,39237787,39237788,49121953,39237798,30639718,30639719,39237800,49164600,60564257,49345963,39416460,30811367,23382814,23382813,30811365,39416456,49345960,49164529,39237732,39237731,49164527,60564191,60564279,258483674,73307675,60564263,49164611,39237810,30639724,23216504,16944299,255128324,5038329,5038328,7925683,11859039,16944290,23216485,30639690,39237754,49164555,60564224,60564237,72178972,59440501,59440502,60564248,60564181,60564182,60564193,73307640,60564178,257581272,30639664,30639663,39237716,49164503,49041972,49041971,60445799,60564184,49164515,49164516,258203943,86917996,270320574,60564175,55280819,257617134,257157552,49939286,49939287,61417200,60445803,49164512,46365263,46365262,57714698,59248225,47851581,39191490,39191489,256828062,48048682,38135216,29569023,22222509,16089754,11174894,11174893,16089752,22222505,29569017,36429460,27970808,27970811,36429464,46282185,55280807,55280808,55280800,44436660,44436661,53512700,269075016,78872388,269773767,46751159,46751157,50573268,60445807,49041982,39112253,30594169,23175396,23175395,30594163,39191485,49119564,60520952,67766534,258013518,46816121,36937773,36937772,46816119,49938748,49938749,61416776,60445778,49041949,269365995,86804416,84452995,84452994,84965322,74197235,256953848,257530084,44461454,35086168,27001351,27001352,35086171,44461456,257006357,39112229,269098465,49041929,256461959,30515007,23099215,16843099,11778892,11778891,16843095,23099208,30515025,33644074,256411496,28815137,21546638,15529146,15529147,256336191,47263774,46620345,36732149,28237523,28237524,36732151,256411498,37050533,30515011,23099201,23099200,30515009,30515021,23099206,255131607,11778889,255516055,30515017,30514996,23099193,23099192,28237530,21039307,255013609,10423625,15111992,21039302,256292405,46620349,46928517,47264456,37354739,37354740,47264457,257457619,37354738,28815654,256336221,47264455,46620358,36732157,28815662,21547023,15529426,10740371,7096263,4467962,254504291,10740367,268209975,25840772,256203548,28815647,21547009,21547010,256336219,29573951,23099189,16843086,16843085,23099188,30514990,28237534,21039314,21039312,21325952,15353985,15353986,21325953,28550731,37050536,32444168,256598161,46688108,36804017,28307187,21097580,21097581,25522495,18913056,18913057,25522496,33282674,42262465,52648105,58060361,256914278,43931493,54673936,256914276,66930633,59942907,48550697,257552133,62844085,59999519,59999518,63208064,257461728,256757542,38636303,38636305,268552610,255338716,7639966,7639965,254474766,11490762,16492272,22694121,30074352,256231830,72695633,72394571,256914258,38361229,29789143,29789142,28907367,28907369,29169245,32051214,40811215,42064956,37446481,37446480,37729464,29169178,268216353,15787360,21859758,256360811,42064957,33116088,25380893,25380892,33116086,37729581,29169295,21859863,15787447,15787400,10937272,10937273,15787378,10937260,7236846,7236847,10937262,15787383,15787425,10937289,10937290,15787427,21633309,21633308,255848853,15602091,10793564,7131136,4489374,2697040,2697039,4489369,7131125,7448321,7448319,6528484,4090605,2447302,1414998,1414999,2447309,4090619,6528521,9933446,10596297,15341033,16157120,16089829,11174944,7414176,7236861,7236860,10937283,15787416,21859817,29169229,256808263,28009727,20844814,14944802,10279164,10279163,11579845,7707703,4878019,2939228,2939227,4878014,7707691,11579819,16603521,15176265,15176266,21124750,21895468,15817315,15817314,10961554,7255733,4576057,4576058,7255738,10961561,15817292,10961525,7255720,7255721,10961532,15817306,21895455,26653420,26653421,34644433,36833533,36439385,27980272,20816385,20816386,27980274,23182871,16917663,16917632,16917633,11839959,7912797,5030238,5030239,7912800,11839960,16917645,23182856,30601542,38800407,30216325,22824035,22824034,256013688,255869981,15817481,10961633,10961634,15817483,255869983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 119924, s2 = 15912342, dlinesl.size( ) = 20 s1 = 8397266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2233592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6893331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6893331, s2 = 7686306, int(edited[s2]) = 0 s1 = 6893331, s2 = 7686306, d1 = 17, d2 = 33 Dl.O(d1) = 259767234 Dl.O(d2) = 175941103,165237718,272551574,127401769,113531598,113531597,262219071,175941101,185425851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6893331, s2 = 7686306, dlinesl.size( ) = 20 s1 = 8007150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8007150, s2 = 11389638, int(edited[s2]) = 0 s1 = 8007150, s2 = 11389638, d1 = 31, d2 = 4 Dl.O(d1) = 55680726,55680727,68079445,256747826,109805158,123941631,137620166,150616607,162714588,173722699,183499891,192048413,199403184,205626367,210774582,214979750,218438347,216171389,212194824,207326119,201421134,194404678,186215750,176823715,166208428,154477087,141832709,128480120,128480119,141832707,128480117,114594686,114594687,100563142,258768970,60269496,48877102,257578203,60269498,256955522,30371421,22969912,16734094,12148119,12148120,17268923,23580847,17751450,17751449,24111866,31616976,268261172,18215267,12919608,12919609,18215268,24111868,23828902,17491016,12332526,8331008,5376828,5376827,8331006,12332523,17491011,23828767,31318525,39995579,256663344,33473803,42467058,52870798,64789438,77982973,91906879,87133261,73514470,60765279,49362016,39432690,30828764,23400995,17128660,12037599,8092714,5184798,5184799,8092718,12037606,11740075,7838291,4975605,4975607,7838296,11740088,16790605,23034252,30441107,30440343,23033511,16790100,11739803,7838157,7838156,11739798,15756118,15756116,15718169,15718168,21777355,21777352,25532663,18921920,18921919,25532661,33294006,42275178,47540295,44389000,35011694,26958389,20074660,20074661,26958393,35038343,33756132,28757368,21498043,15491400,10712637,10712635,15491389,15983890,22090835,24331625,17943087,12714576,12714578,17943096,16789699,11739598,11739599,11739702,7913763,7913764,11841527,12044281,12044282,17138122,21783780,23413616,30843501,39321208,35033555,26953351,26953349,35033548,31385508,31385509,35022012,35022011,38336645,35022003,26941038,26941037,28430955,36507000,36507001,31323882,29129500,29129501,25948154,25948155,25948142,255325794,25948121,33755856,38189007,38189006,37403700,35012638,35012637,31385953,31385954,30828448,30828449,32851632,29082015,21784125,15725217,10888666,7200503,267968301,15725215,21784121,255096012,21590833,15564581,15564582,21590840,28865330,30199204,28865319,22839316,16617404,16617403,22839312,30196357,22808539,22808540,23305604,30199467,30199468,37405564,39296219,49223223,257563600,100968781,115024746,128927765,260637052 Dl.O(d2) = 114154021,100119868,100119867,114154019,128044162,261743833,165857312,174288183,163440084,151557278,138854526,261421734,83932313,70405980,57711810,46362516,256273961,255361893,10357854,6821883,4279500,4279496,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,6760797,4236780,4236782,4235451,2532275,2527594,1456710,824786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007150, s2 = 11389638, dlinesl.size( ) = 12 s1 = 9106669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13512117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8363989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6573031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6634179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2101204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8210956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8170957, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2450709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2450709, s2 = 8665167, int(edited[s2]) = 0 s1 = 2450709, s2 = 8665167, d1 = 30, d2 = 111 Dl.O(d1) = 68552536 Dl.O(d2) = 165106422,165106421,273115467,191615541,263785062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2450709, s2 = 8665167, dlinesl.size( ) = 22 s1 = 10180023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180023, s2 = 10300187, int(edited[s2]) = 0 s1 = 10180023, s2 = 10300187, d1 = 42, d2 = 38 Dl.O(d1) = 262105338,111463000,97509640,261040585,151362757,272443454,95539372,259309916,81359070,81359071,95405659,91758649,77833149,258494410,67945195,67945194,81421624,259199599,35655749,257345881,258570999,270715133,68859768,56351949,257953711,82385348,260436777,138082571,272951978,97509639,258611153,257377371,256800133,257987201 Dl.O(d2) = 263814635,265422604,263222842,261265990,260205065,261371717,262106111,261020281,271211221,68639758,68639757,259198139,257984993,57377072,258608869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9337760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657812, s2 = 2290382, int(edited[s2]) = 0 s1 = 11657812, s2 = 2290382, d1 = 11, d2 = 5 Dl.O(d1) = 6681376,10166976,14782626,20612334,27679418,36004539,269255443,258592037,258366502,58455910,71178073,84746963,96701388,82731492,258494498,83189982,97115188,270094174,109620562,259124004,68289869,55853974,44913319,35464405,27323176,20377098,14624917,10061771,6610475,4140384,2476197,1431086,816901,816898,462667,260770,260769,462726,817922,1439903,254319897,6663157,254991253,20566586,27608192,35893153,45528591 Dl.O(d2) = 61485319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657812, s2 = 2290382, dlinesl.size( ) = 2 s1 = 11657812, s2 = 2290382, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657812, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10186735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2102249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2102249, s2 = 10343453, int(edited[s2]) = 0 s1 = 2102249, s2 = 10343453, d1 = 122, d2 = 2 Dl.O(d1) = 56784703,256954696,256787089 Dl.O(d2) = 44725065,44725067,55623795,55623709,44724943,44724944,51900882,44432992,35058537,26975725,26975724,28677504,21429058,21429059,28677509,37200305,44430228,35055569,35055567,40308043,44432088,42402535,42402537,37200328,28677532,21429067,21429066,28677525,32457320,41299419,51516797,55274419,67614649,67614889,67614888,55275618,44429690,256217982,26973001,35055101,44429694,55275621,67615257,67614921,55275018,44428703,44428702,44430571,35305986,35305987,44433456,256217939,256743169 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343452, s2 = 1744058, int(edited[s2]) = 0 s1 = 10343452, s2 = 1744058, d1 = 78, d2 = 75 Dl.O(d1) = 256743168,256217938,41602207,51902150,63229937,51516152,44434075,35059774,26976781,20088790,20088789,20088797,14402719,14402718,20088794,256217983,44434080,44546405,35168615,35168616,44546407,55389322,55389321,54712253,43968395,41300677,41300679,44539410,55274493,44427927,44427928,35168611,35168612,32458164,32458165,41300695,51518152,63231387,54712238,43968383,34693160,34693162,43968340,34693144,34693142,41299948,32457689,24820451,24820450,27075359,20179248,20179249,27075360 Dl.O(d2) = 256787088,256954697,59698678 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6795277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7066704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2102572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842838, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6790410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6795569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9403655, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8206216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2104341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2453600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657604, s2 = 2453945, int(edited[s2]) = 0 s1 = 11657604, s2 = 2453945, d1 = 0, d2 = 2 Dl.O(d1) = 257170942 Dl.O(d2) = 70323154,83848941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657604, s2 = 2453945, dlinesl.size( ) = 2 s1 = 11657604, s2 = 2453945, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657604, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13611475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9040496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9040496, s2 = 6542464, int(edited[s2]) = 0 s1 = 9040496, s2 = 6542464, d1 = 38, d2 = 31 Dl.O(d1) = 262121039,151465144,262608353,263458531,262608351,273082180,111631466,262121037 Dl.O(d2) = 14918230,255782417,36436718 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9392300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9134152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9134152, s2 = 9392301, int(edited[s2]) = 0 s1 = 9134152, s2 = 9392301, d1 = 45, d2 = 43 Dl.O(d1) = 102360763,102360764,95638917,81606252,269653245,44814899,268556591,20329893,14590107,10039402,6597686,4133394,2472603,2472601,4133391,6597664,6597665,10039369,14590041,20329783,27264382,268084512,44814733,35389967,27264368,254770442,34194292,26321726,19595438,19595437,26321722,27264396,27264430,35390034,44814808,55721246,256766805,27264390,20329787,20329786,27264388,35389988,44814755,44814806,35390029,256766807,35390027,35390097,27264498,20329864,20329863,27264495,35390093,44814865,39740981,39740982,49759607,59030331,59030307,47628089,256298274,71772798,71772797,59030348,47628123,37705852,29145688,21837893,21837891,29145683,37705847,47628083,37705969,29145778,29145777,37705782,29145643,29145642,37705781,47628038,47992424,59382236,59382235,258090521,59030184,59030114,47627849,37705619,29145509,29145510,21837810,15768234,10920560,255057117,21837809,29145568,37705691,37705716,29145587,21837820,15768242,15768243,21837822,29145080,37705174,37705624,37705662,257480353,37705681,29145563,21837806,15768231,254750513,254750515,15767992,15767991,21837538,29145252,29145192,21837496,15767942,268215909,29145189,256900383,47627738,47627739,59029933,257480351,47627898,47627924,47627923,59030154,59030127,47627894,47627895,59029689,59029932,47627639,47627640,59029677,47627374,37705070,29144974,21837319,21837317,29144971,37705063,257480299,47627459,59029738,71772338,85362089,94423303,80369743,66944276,54687900,54687899,43957182,34682076,26687849,19868827,14235364,14235365,14384692,20068480,26952842,35033090,42461473,52865346,64784394,77978500,258775064,73495297,258201488 Dl.O(d2) = 49126722,39199308,30602868,23184045,16918533,11840567,11840565,16918530,23184042,22240138,16104364,16104366,255896541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9134152, s2 = 9392301, dlinesl.size( ) = 5 s1 = 6588106, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14530865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14530865, s2 = 6796000, int(edited[s2]) = 0 s1 = 14530865, s2 = 6796000, d1 = 7, d2 = 7 Dl.O(d1) = 83866374,70341057,57650473,46305689,46305690,46300925,257384937,58474931,70341055,258619691,261599021,140342389,260555633 Dl.O(d2) = 83866374,70341057,57650473,46305689,46305690,46300925,257384937,58474931,70341055,258619691,261599021,140342389,260555633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14530865, s2 = 6796000, dlinesl.size( ) = 2 s1 = 14530865, s2 = 6796000, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14530865, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1084349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1084349, s2 = 13611584, int(edited[s2]) = 0 s1 = 1084349, s2 = 13611584, d1 = 7, d2 = 9 Dl.O(d1) = 28124895,20947243,15038672,10366184,9095591,5950626,5950624,9095588,268140165,255795201,36453258,256807101,57650935 Dl.O(d2) = 111646429,125448960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1084349, s2 = 13611584, dlinesl.size( ) = 12 s1 = 14162719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657370, s2 = 9403288, int(edited[s2]) = 0 s1 = 11657370, s2 = 9403288, d1 = 6, d2 = 6 Dl.O(d1) = 38867767,46881481,42440109,38618320,38618321,42440116,42440117,42440144,40207320,31521454,24020044,24020046,31521464,257083145,40208584,40208581,40891392,40208577,40208576,47439503,48789768,48789767,50229332,50229331,40208610,40208609,50229564,47390142,40208130,40208129,50229278,61709285,50228614,50228613,50229263,50229123,50229124,41934177,38867622,37137661,256235482,21387137,24025021,24025020,31526940,257083225,40208096,40208097,47944349,268944282,40207919,31522158,24020910,17671674,12496517,8464669,5470489,5470490,8464676,12496527,17671707,24020963,31522210,31522212,26166882,26166880,23382371,17111921,12025082,8084469,8084468,12025078,17111915,12496615,12496616,17671859,268115602,40208469,40208037,40208036,40208931,50229343,40208291,31522544,24021000,17671732,12496540,12496538,17671725,24020987,24020802,24020801,31522301,29589703,29589702,38156037,40208018,40208019,40208514,40207970,31523026,31522909,31522908,40208650,38182485,30806195,30806194,24021608,17672154,17672152,23378095,17108325,12022438,8082728,8082730,12022445,16123515,16123517,17672112,12496783,12496786,17672139,24021591,31523185,31522696,24021153,24021155,31522698,31523077,24021499,17672073,17672074,24021503,31522539,31522538,255896698,61709752,52295969,52295970,46483510,36617095,36617094,41926981,41952615,255081906,33106100,33012906,33012907,32992172,25268102,18696273,18696276,18715011,13321698,9101717,9101719,5955324,3724283,3724284,5955327,9101746,13321739,18678940,13286149,13286148,10356033,10356034,15028270,255435695,15829893,21912127,25269347,18697487,13304470,9096289,5951147,5951148,9096293,13315600,18708634,25281269,20876345,14974316,14974315,20876341,21912101,15829863,15042634,15042637,20951419,25281330,28111309,27993822,20829518,20829520,21912082,21912083,17196321,17196322,18708606,18708605,19542535,23479076,18697454,18697453,18708746,25281406,21015763,21015762,23479005,17196212,12092030,8131798,5209874,254576261,12092026,17196206,23134081,23134082,23479111,23479110,18691982,18691981,25263353,32986638,33013624,37519794,28976033,28976031,268926981,47427497,39401929,30798687,30798688,23446752,23446754,30877011,39482313,41926958,39526593,30915971,23478891,17196138,17196139,23143130,30560126,39157286,30877110,23446812,17171385,17171387,23446814,30877116,30904003,23469507,23469508,30904005,39512125,47948243,38034603,38034602,46383063,47940552,38026831,29464703,268399014,11119630,7375486,7375482,11119625,16015149,255887355,25507333,25507334,22130375,22130376,29465152,29465671,22130798,22130799,22129929,18896968,16015584,11119959,11119958,11120094,7375790,4659771,4659772,7104936,7104865,4473121,4473122,4659778,4659679,2807316,1628596,926057,926055,1628591,2807308,4659654,7375561,6028122,3771234,2259617,2259616,3771229,6028112,9207945,12680882,12680881,255450547,16015134,22129909,29464675,38026792,257505159,72066670,85653951,99603916,113619038,113619039,113619040,99603920,85653953,85653954,99603921,113619042,260089568,127492811,136717510,149860183,258848652,108621101,94333875,256491690,54589190,54589189,54589191,46314894,36461968,28003018,28003019,36461969,46314896,57659173,70349260,70349256,70349255,83874221,97733099,97733103,97733104,111654018,125456538,261599789,138785353,272161042,138785352,151486760,262609501,183893328,183893329,192368158,199664751,205836653,210940971,210940973,215111779,218545678,217358177,213635004,209096369,263654014,189207048,189207049,196950383,196950384,196950385,196950387,189207052,180261524,170091547,158730883,158730882,158730884,146360466,133131907,119301116,119301115,133131906,146360455,133131901,119301113,119301114,133131904,146360459,146360460,156387015,156387016,156387020,143870808,130552651,116718111,102622047,88615761,88615762,102622050,116718116,130552656,143870811,130552653,116718114,116718115,102622053,88615766,74973794,62162156,50653130,40603083,40603082,50653129,62162154 Dl.O(d2) = 38867767,46881481,42440109,38618320,38618321,42440116,42440117,42440144,40207320,31521454,24020044,24020046,31521464,257083145,40208584,40208581,40891392,40208577,40208576,47439503,48789768,48789767,50229332,50229331,40208610,40208609,50229564,47390142,40208130,40208129,50229278,61709285,50228614,50228613,50229263,50229123,50229124,41934177,38867622,37137661,256235482,21387137,24025021,24025020,31526940,257083225,40208096,40208097,47944349,268944282,40207919,31522158,24020910,17671674,12496517,8464669,5470489,5470490,8464676,12496527,17671707,24020963,31522210,31522212,26166882,26166880,23382371,17111921,12025082,8084469,8084468,12025078,17111915,12496615,12496616,17671859,268115602,40208469,40208037,40208036,40208931,50229343,40208291,31522544,24021000,17671732,12496540,12496538,17671725,24020987,24020802,24020801,31522301,29589703,29589702,38156037,40208018,40208019,40208514,40207970,31523026,31522909,31522908,40208650,38182485,30806195,30806194,24021608,17672154,17672152,23378095,17108325,12022438,8082728,8082730,12022445,16123515,16123517,17672112,12496783,12496786,17672139,24021591,31523185,31522696,24021153,24021155,31522698,31523077,24021499,17672073,17672074,24021503,31522539,31522538,255896698,61709752,52295969,52295970,46483510,36617095,36617094,41926981,41952615,255081906,33106100,33012906,33012907,32992172,25268102,18696273,18696276,18715011,13321698,9101717,9101719,5955324,3724283,3724284,5955327,9101746,13321739,18678940,13286149,13286148,10356033,10356034,15028270,255435695,15829893,21912127,25269347,18697487,13304470,9096289,5951147,5951148,9096293,13315600,18708634,25281269,20876345,14974316,14974315,20876341,21912101,15829863,15042634,15042637,20951419,25281330,28111309,27993822,20829518,20829520,21912082,21912083,17196321,17196322,18708606,18708605,19542535,23479076,18697454,18697453,18708746,25281406,21015763,21015762,23479005,17196212,12092030,8131798,5209874,254576261,12092026,17196206,23134081,23134082,23479111,23479110,18691982,18691981,25263353,32986638,33013624,37519794,28976033,28976031,268926981,47427497,39401929,30798687,30798688,23446752,23446754,30877011,39482313,41926958,39526593,30915971,23478891,17196138,17196139,23143130,30560126,39157286,30877110,23446812,17171385,17171387,23446814,30877116,30904003,23469507,23469508,30904005,39512125,47948243,38034603,38034602,46383063,47940552,38026831,29464703,268399014,11119630,7375486,7375482,11119625,16015149,255887355,25507333,25507334,22130375,22130376,29465152,29465671,22130798,22130799,22129929,18896968,16015584,11119959,11119958,11120094,7375790,4659771,4659772,7104936,7104865,4473121,4473122,4659778,4659679,2807316,1628596,926057,926055,1628591,2807308,4659654,7375561,6028122,3771234,2259617,2259616,3771229,6028112,9207945,12680882,12680881,255450547,16015134,22129909,29464675,38026792,257505159,72066670,85653951,99603916,113619038,113619039,113619040,99603920,85653953,85653954,99603921,113619042,260089568,127492811,136717510,149860183,258848652,108621101,94333875,256491690,54589190,54589189,54589191,46314894,36461968,28003018,28003019,36461969,46314896,57659173,70349260,70349256,70349255,83874221,97733099,97733103,97733104,111654018,125456538,261599789,138785353,272161042,138785352,151486760,262609501,183893328,183893329,192368158,199664751,205836653,210940971,210940973,215111779,218545678,217358177,213635004,209096369,263654014,189207048,189207049,196950383,196950384,196950385,196950387,189207052,180261524,170091547,158730883,158730882,158730884,146360466,133131907,119301116,119301115,133131906,146360455,133131901,119301113,119301114,133131904,146360459,146360460,156387015,156387016,156387020,143870808,130552651,116718111,102622047,88615761,88615762,102622050,116718116,130552656,143870811,130552653,116718114,116718115,102622053,88615766,74973794,62162156,50653130,40603083,40603082,50653129,62162154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657370, s2 = 9403288, dlinesl.size( ) = 2 s1 = 11657370, s2 = 9403288, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 11657370, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 2456601, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10180713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8172157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8172157, s2 = 689084, int(edited[s2]) = 0 s1 = 8172157, s2 = 689084, d1 = 105, d2 = 119 Dl.O(d1) = 46349742,36492025,28029631,20862324,20862325,28029633,36492028,46349745,57698874 Dl.O(d2) = 31413348,23923772,17582702,17582703,23923774,257074439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8172157, s2 = 689084, dlinesl.size( ) = 34 s1 = 9696992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6503824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6503824, s2 = 14123034, int(edited[s2]) = 0 s1 = 6503824, s2 = 14123034, d1 = 49, d2 = 67 Dl.O(d1) = 255309180 Dl.O(d2) = 107409717,121792491,262038499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6503824, s2 = 14123034, dlinesl.size( ) = 48 s1 = 2109287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2109287, s2 = 1028664, int(edited[s2]) = 0 s1 = 2109287, s2 = 1028664, d1 = 2, d2 = 43 Dl.O(d1) = 57709710 Dl.O(d2) = 257234192,33697053,33760644,25952613,254975750,13789741,13789742,12842174,8733098,8733101,12842186,10675093,10675094,13189125,13189124,18560569,21898184,21898183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2109287, s2 = 1028664, dlinesl.size( ) = 26 s1 = 9029576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9029576, s2 = 3583438, int(edited[s2]) = 0 s1 = 9029576, s2 = 3583438, d1 = 24, d2 = 8 Dl.O(d1) = 270635828,258624566 Dl.O(d2) = 121389505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9029576, s2 = 3583438, dlinesl.size( ) = 26 s1 = 1479983, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2331303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6944963, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2110166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163422, s2 = 9377153, int(edited[s2]) = 0 s1 = 14163422, s2 = 9377153, d1 = 1, d2 = 1 Dl.O(d1) = 254388410,10047904,10047905,8979945,5862927,3660337,3660336,5862925,8980109,13173586,18540117,19422324,25616551,21464253,21464252,27221978,25277901,23236167,16963977,16963979,17853552,13592931,13592930,11513789,7659106,4845998,4845999,7659113,10052248,6605316,6605317,10052254,13586957,13586958,14586477,14586474,20325315,26165533,23593678,17281480,12916894,12916895,255249472,7535074,7535075,11338801,14967339,20869687,25287102,28024789,20857632,14956358,10289707,10289708,14956361,254155370,20855076,26619481,19809974,14189821,9754540,6413685,4023476,2410741,2410740,4023475,2750409,1594235,906285,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,9272878,10390653,10833517,15651863,21692018,28974602,37518340,47426104,255563386,85113343,99038524,85113344,85113345,99038529,113027142,126880224,140228201,152918895,164749829,166892283,155201572,142558724,142558723,155201552,142558698,142558697,129183235,129183236,142558709,155201561,166892269,177435827,186747396,194856679,186747397,186747399,194856681,201797313,207639733,212456790,216395674,219662014,219662015,222420621,222420622,219662023,219662022,219408127,216106188,212120444,212120443,212120438,207241996,201326161,194296984,186089871,176673909,176673910,176673905,176673904,176673895,166033565,166033566,166033576,154281007,141625466,128275409,114399736,100376868,86421105,72826103,268906128,38770733,30187345,22797827,16580955,11561107,7693911,4868963,2933960,1701618,1701619,2933967,4868975,7610286,7610625,4866479,2932455,2932454,4806271,2896681,2896679,4806264,2898843,1681961,956525,956528,1681911,2898635,2898638,4807442,2897447,2897445,4807503,7599430,7731010,4894083,4894084,7589345,7589344,11418854,11445368,16430251,22614785,29981833,22616561,22616562,256421899,48465592,48697226,60093441,55476126,44626147,35242608,35242609,35242622,27145520,20236390,14521080,9991721,6566837,4113815,4113814,6566834,9991717,10311963,6782837,268906692,28050459,36514709,46373665,57723814,59327882,47936289,38022583,29460552,22126064,16011547,11116451,7372997,4657784,4657783,7372991,11116439,14094043,9693810,6375758,6375759,9693813,255307531,26396622,34272123,254843906,20096113,26985213,35068579,30599234,23180527,16915562,11838320,7911681,5029553,267900045,11838325,16915567,23180534,30599241,39195928,49123540,60524690,73269698,76456340,257538768,41427280,32567025,32567026,41427283,47050760,37160228,28644213,255661144,15415903,21402941,28644215,37160230,47050762,58425404,50054519,40034573,256233096,55715407,44809001,35384526,27259192,20325046,14586236,10036521,6595728,4132077,2471731,2471735,2708591,2708588,2263088,2263089,2262590,2262593,3777022,6037343,7662652,7662653,11519179,16527924,268412559,19003889,19003888,25617950,33383802,42372776,52771727,58325887,46958788,37078386,28574744,28574745,37078387,46838665,46838664,36963749,28464399,28464398,36963746,46842618,48564571,52545874,42187143,42187142,51115472,51115473,51115476,52545877,61525830,50046161,40026158,255416492,17510298,12347485,12347486,17510299,23852939,18156595,12875276,12875277,18156596,24604994,32193262,32146125,24563352,18123972,12851389,12851388,18123721,18123720,12851480,12851481,18124096,24563489,32146253,38182660,29615508,22264418,16123624,255898735,34260647,256099898,257722259,75811190,89593358,103708966,117862916,260837958,105871768,259039445,259253099,83954436,91663236,91663235,89593402,89593403,77735124,77735123,80307825,66878225,66878224,80307823,94364473,108652525,105871787,259039453,77735135,91663246,103709013,271393856,126575166,120085043,115210849,115210848,115210847,101133224,87135024,259466277,99832674,99832673,270323127,59553051,48166391,38256975,29691562,22338857,16191065,254775171,2844670,1650364,1650366,2844671,4721554,254705269,255359743,28014202,36474706,46330131,57676937,70368672,83893242,77316961,64168810,52317328,256631309,33033979,269072835,257775447,259017033,270060850,76267828,90079651,104211492,105457957,91236394,271026561,87050624,73437670 Dl.O(d2) = 254388410,10047904,10047905,8979945,5862927,3660337,3660336,5862925,8980109,13173586,18540117,19422324,25616551,21464253,21464252,27221978,25277901,23236167,16963977,16963979,17853552,13592931,13592930,11513789,7659106,4845998,4845999,7659113,10052248,6605316,6605317,10052254,13586957,13586958,14586477,14586474,20325315,26165533,23593678,17281480,12916894,12916895,255249472,7535074,7535075,11338801,14967339,20869687,25287102,28024789,20857632,14956358,10289707,10289708,14956361,254155370,20855076,26619481,19809974,14189821,9754540,6413685,4023476,2410741,2410740,4023475,2750409,1594235,906285,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,9272878,10390653,10833517,15651863,21692018,28974602,37518340,47426104,255563386,85113343,99038524,85113344,85113345,99038529,113027142,126880224,140228201,152918895,164749829,166892283,155201572,142558724,142558723,155201552,142558698,142558697,129183235,129183236,142558709,155201561,166892269,177435827,186747396,194856679,186747397,186747399,194856681,201797313,207639733,212456790,216395674,219662014,219662015,222420621,222420622,219662023,219662022,219408127,216106188,212120444,212120443,212120438,207241996,201326161,194296984,186089871,176673909,176673910,176673905,176673904,176673895,166033565,166033566,166033576,154281007,141625466,128275409,114399736,100376868,86421105,72826103,268906128,38770733,30187345,22797827,16580955,11561107,7693911,4868963,2933960,1701618,1701619,2933967,4868975,7610286,7610625,4866479,2932455,2932454,4806271,2896681,2896679,4806264,2898843,1681961,956525,956528,1681911,2898635,2898638,4807442,2897447,2897445,4807503,7599430,7731010,4894083,4894084,7589345,7589344,11418854,11445368,16430251,22614785,29981833,22616561,22616562,256421899,48465592,48697226,60093441,55476126,44626147,35242608,35242609,35242622,27145520,20236390,14521080,9991721,6566837,4113815,4113814,6566834,9991717,10311963,6782837,268906692,28050459,36514709,46373665,57723814,59327882,47936289,38022583,29460552,22126064,16011547,11116451,7372997,4657784,4657783,7372991,11116439,14094043,9693810,6375758,6375759,9693813,255307531,26396622,34272123,254843906,20096113,26985213,35068579,30599234,23180527,16915562,11838320,7911681,5029553,267900045,11838325,16915567,23180534,30599241,39195928,49123540,60524690,73269698,76456340,257538768,41427280,32567025,32567026,41427283,47050760,37160228,28644213,255661144,15415903,21402941,28644215,37160230,47050762,58425404,50054519,40034573,256233096,55715407,44809001,35384526,27259192,20325046,14586236,10036521,6595728,4132077,2471731,2471735,2708591,2708588,2263088,2263089,2262590,2262593,3777022,6037343,7662652,7662653,11519179,16527924,268412559,19003889,19003888,25617950,33383802,42372776,52771727,58325887,46958788,37078386,28574744,28574745,37078387,46838665,46838664,36963749,28464399,28464398,36963746,46842618,48564571,52545874,42187143,42187142,51115472,51115473,51115476,52545877,61525830,50046161,40026158,255416492,17510298,12347485,12347486,17510299,23852939,18156595,12875276,12875277,18156596,24604994,32193262,32146125,24563352,18123972,12851389,12851388,18123721,18123720,12851480,12851481,18124096,24563489,32146253,38182660,29615508,22264418,16123624,255898735,34260647,256099898,257722259,75811190,89593358,103708966,117862916,260837958,105871768,259039445,259253099,83954436,91663236,91663235,89593402,89593403,77735124,77735123,80307825,66878225,66878224,80307823,94364473,108652525,105871787,259039453,77735135,91663246,103709013,271393856,126575166,120085043,115210849,115210848,115210847,101133224,87135024,259466277,99832674,99832673,270323127,59553051,48166391,38256975,29691562,22338857,16191065,254775171,2844670,1650364,1650366,2844671,4721554,254705269,255359743,28014202,36474706,46330131,57676937,70368672,83893242,77316961,64168810,52317328,256631309,33033979,269072835,257775447,259017033,270060850,76267828,90079651,104211492,105457957,91236394,271026561,87050624,73437670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163422, s2 = 9377153, dlinesl.size( ) = 2 s1 = 14163422, s2 = 9377153, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14163422, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9350500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10165480, s2 = 10169709, int(edited[s2]) = 1 s1 = 9671906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2449833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2459749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8137329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8137329, s2 = 14162981, int(edited[s2]) = 0 s1 = 8137329, s2 = 14162981, d1 = 50, d2 = 111 Dl.O(d1) = 255507135,30341750 Dl.O(d2) = 29989410,22621691,16436805,16436806,22621693,29989413,38559276,48424077,59809910,55359937,55359936,258534993,95222052,257447162,27047705,27047704,35133325,256741644,40857183,40857185,256700669,26260047,19540817,13991950,9612061,9612062,13991952,19540819,26260053,34125790,43213290,257599669,58026664,58026660,49428146,39496845,39496843,49428141,60541555,72639081,59897379,48503570,38588634,38588632,48503559,48657168,47831062,37909266,29340318,29340319,37909274,47831077,59228966,70727816,70727817,84280076,85958856,85554209,71966739,59228883,47831024,42436939,42436937,52841684,64762083,71884369,71884368,77736175,77736176,77322654,64173841,52322068,41981609,33038179,33038180,33038121,33038118,41981526,52321968,60464614,59484249,59228832,52322479,41981943,37909292,37909294,47831086,52322508,59229077,59229074,71966960,61324260,61324258,257021920,99510029,99510028,101688574,87714916,74108779,61325946,61325945,60837421,60837422,73587013,87209179,89305772,89305773,77323046,64174452,52322674,41982088,33038484,33038485,41982054,52322626,47830988,37909225,29340295,22008653,15907363,15907365,22008660,29340307,37909245,47831014,59228860,59229085,64174631,52322886,52322887,52322854,52322855,52322787,257775839,49842768,49842769,40529613,40529615,46732238,46732237,48348491,48348492,59732588,257083706,88494372,74857322,65988694,256986194,43394816,53919958,60134298,72870974,86466462,74495238,74495237,88106827,84275921,70724441,258630049,57770728,46417070,46417069,57770727,70469948,84003520,72365575,59631095,48244027,38333716,29763093,22400870,16239316,11289938,7495752,7495751,11288346,16236859,16237451,22398291,29759437,29759438,38328238,33305575,25543692,25543693,33248979,28530609,21308116,21308117,28530616,33247274,33247273,39710803,31033636,31033598,23552111,17243807,12126478,12126477,255993927,21051924,16235523,16235524,22395426,29755953,28257165,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495068,254718171,4316100,4316101,6875477,10428461,15119188,268079556,18320694,24809189,32443718,41283001,32443724,254754696,18320697,23083712,23083713,30497107,39093081,38633840,38633839,47148157,37242716,28711694,255036580,7060308,10687547,15457272,21456479,28711700,37242723,47148160,41283012,32443726,32443727,28711931,28711932,37242950,37242968,37242981,41283065,37242954,37242918,28711965,28711941,28711940,255405194,21456679,28711968,28711923,28711922,37242916,28711891,21456628,15457362,15457330,10687579,7060326,7060327,254734772,21456583,255036584,10687613,10687614,15457388,21456669,268384778,47049482,47049483,47148273,37242853,28711815,21456564,21456563,28711813,37242851,47148271,37242964,37242963,47148342,47049485,47049484,41421463,32561837,24910367,18405303,13073191,8908479,254900677,18405306,24910370,28711905,24910292,18405240,13073143,8908447,8908446,13073141,18405237,15457449,15457450,255405196,32561066,256091497,24910474,32561957,37242835,47148260,58536754,50494669,40458730,40458731,255871126,41420616,41420567,32560972,24909652,18404810,13072882,8908300,5813314,5813313,8908301,13072884,18404813,24909658,32560983,24909733,255632577,18404863,24909704,18404845,13072904,8908316,5813321,5813322,8908318,13072908,8908333,5813331,254292749,2165733,3626345,5813328,8908326,13072923,18404873,24909738,32561076,27028938,20136251,14442149,14442148,20136249,27028933,35115510,41420573,41420574,46519261,36652239,256289120,15089770,10407390,6860391,4305491,2574382,2574381,254716539,15089760,20997097,15082281,10402957,10402958,15082286,20997098,28179161,36655196,28185593,28185594,21002372,15086245,10405742,10405741,15086236,10405735,10405734,15086232,21002365,28185585,36662351,36691452,28201453,22720800,16515845,16515844,22720796,30102485,38679826,36660511,28183965,28183962,30535781,30535782,39134526,49064649,46529423,36662007,28185278,21002072,15085971,15085972,21002077,28185285,36660398,28183857,21000931,21000930,28183853,36660396,46527814,46522412,36655188,36655186,36655193,36662342,28185608,21002380,15086254,10405747,6859496,6859497,10405752,15086228,15086227,21002359,28185579,36662346,46527738,46529407,36661990,30102474,30102475,30102480,30102478,38679820,48596165,258016769,57883795,49064637,269366459,46529743,39134494,39134482,30535747,30535749,30535906,23117163,23117162,30535899,39134697,49064842,60468275,57885299,57885301,70584949,70584950,70578886,57878015,57878014,57883653,46527778,36660358,28183825,21000914,21000915,23117167,23117166,28185613,28185612,36662336,36660328,28183805,21000902,15084982,15084981,21000898,28183800,36660315,46527734,57883614,70584910,57883665,57883666,70584933,60789285,49388481,49388482,49064614,39134501,30535764,30535752,23117060,23117061,30535757,30535891,30535892,39134681,49064822,57883651,57883801,57883806,70585052,84121793,84110083,70573511,70573512,57883670,46527801,36660386,28183848,21000926,15084995,15084994,21000921,28183841,36660375,46527791,46527765,36660348,28183817,21000906,15084987,11790413,11790412,16857709,23117178,30535939,39134724,46527846,46527845,49388488,46527771,46527770,3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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2111324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2841691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2112041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2460489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2460489, s2 = 7608352, int(edited[s2]) = 0 s1 = 2460489, s2 = 7608352, d1 = 5, d2 = 7 Dl.O(d1) = 70439288 Dl.O(d2) = 256815547,256623763,25236577,18667529,14998036,10328548,255003325,20902681,269296693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2460489, s2 = 7608352, dlinesl.size( ) = 2 s1 = 2460489, s2 = 7608352, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2460489, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6636156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10217108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7677601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7677601, s2 = 13215248, int(edited[s2]) = 0 s1 = 7677601, s2 = 13215248, d1 = 34, d2 = 36 Dl.O(d1) = 272212415,260559312 Dl.O(d2) = 255056978,15006988,15775736,15767638,15767640,254751320,10931086,10931084,15779803,21850592,29155312,29155313,29150474,29150477,29142786,21835922,21835921,29143629,37704033,29155198,21846462,21846463,29143999,31780375,31780376,29143649,21836870,21836337,21836338,15767509,15767508,21836901,21835418,15766344,15766345,254230332,254121810,15778224,10929689,7230625,7230623,10929686,15778219,21848274,21842112,15772389,10924889,7226720,7226721,10924893,10929604,10780668,10780666,15584235,15772246,21834194,21834193,29141949,254121886,21848465,21834591,19607425,14049877,9661073,6353094,3986222,3986221,6353092,4557190,2740044,1587799,902626,509084,285419,157724,86678,86679,157727,285424,509096,902647,1587839,2740120,4557332,7221497,4550042,2735104,1584808,1584809,2735107,4550049,7221507,7230434,10929355,15777710,14050501,14050502,19608324,26336667,29158915,267744210,10931008,10931009,15779705,15766199,10919211,7221611,7221610,10919206,15766191,21835218,21849452,29157863,34209687,34209603,29142323,29142324,254750718,267969196,15777468,10929198,255057542,20988896,15075865,10398496,7243147,4566560,2746444,1591747,1591748,2746452,4566584,7243195,10945649,255057366,255864936,59065086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7677601, s2 = 13215248, dlinesl.size( ) = 50 s1 = 2112972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1755211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1755211, s2 = 13405437, int(edited[s2]) = 0 s1 = 1755211, s2 = 13405437, d1 = 5, d2 = 202 Dl.O(d1) = 46422815,46422816 Dl.O(d2) = 31690649,40384254,50418747,50418777,61909260,269885076,61909236,74702796,74702795,85075053,81079604,81079605,73278551,73278552,73504103,73504102,87122872,88093557,88093556,88093555,85703588,72118093,72118092,74481248,84531161,76925483,72118100,59386469,59386470,61698144,74481246,88093551,99000389,99652041,85703607,72118133,72118134,85703609,85075044,85075043,85075052,258029536,85703606,72118123,59386491,59386490,63818663,74481252,74481253,85703591,84531164,70967904,257082100,60787784,52523640,52523641,64397502,256302520,38085313,38085312,47997479,50215987,40193549,40193548,50215984,61698183,257082102,49386928,39458708,255984867,23423568,30854378,39458715,49386933,268999960,60787785,70967892,70967907,58251515,46884084,37004915,28506573,21287311,21287312,28506575,37004918,39458687,39458686,39458688,49386898,60787758,73535196,81079549,67612119,55271297,55271298,58251497,46884071,46884070,58251494,49386934,49386935,60787781,49386927,49386926,60787786,60787780,49386920,49386919,49386905,49386906,60787770,60787791,73535210,85703585,73535193,60787756,49386896,49386894,49181877,46384069,36524452,28059048,20889085,20889086,28059050,36524455,39394697,30792058,30792057,39394696,49322810,60724947,73473115,73325337,73325338,60581570,49181876,49181875,60581567,70408627,73473125,60724959,60724953,49322813,49322812,60724952,73473119,73473116,73473117,87090890,73473109,60724944,60724945,62512275,62512274,62512269,62512268,75430872,70408621,57714465,256526228,70408622,62512270,50911931,40794840,40794842,255178878,75430881,89177867,86935257,86935256,73325306,73325305,258264946,87090908,73473131,73473130,87090906,87958965,87958964,101931812,114970508,258264948,86935236,73325287,60581532,49181856,49181855,60581528,73325286,60581536,60581535,73325291,86935241,74356734,61579920,50100011,50100010,61579918,74356731,87958967,101931814,115976384,114970507,100916923,86935261,73325304,73325303,77776235,77776234,91703688,86935244,86935243,73325347,257597555,30660464,23242039,17647444,17647445,20157216,14460559,9948790,6538694,6538695,9948795,14460565,20157222,256223733,23452427,23452428,30660423,23242006,255971371,30660435,23242013,255971369,16973972,11886574,7946887,5053762,3061647,3061648,5053764,7946890,7946894,11886586,16973987,12076379,12076380,17175479,23452434,30884054,30660427,23242008,16973977,255525033,30660429,39256215,49181844,49181887,39256253,30660465,23242041,16973996,16973997,23242044,30660468,39256196,39256188,30660405,23241988,16973964,11886570,7946885,7946884,11886568,16973960,23241980,16973992,16973991,23242030,29001380,37546987,47454955,48256041,38345689,38345690,32325301,24710248,18238584,256590669,46898327,38277431,38277432,29712149,29711124,22356070,16204482,16204481,22356065,23448253,22577995,22577994,28523034,28523032,37020880,256313433,28522413,29548794,29548793,38111739,33203540,255478380,18857445,25456519,33203543,38111928,256830256,38111302,29548171,22204597,255803282,16075459,16075458,16075444,16074738,11162438,7404141,7404140,11162437,268222661,16074761,22204630,29548085,22204505,16074683,11162411,7404127,4677524,2817944,2817945,4677531,7404138,11162432,16074730,22004638,22004637,22205320,16075566,11162959,7404399,4677666,2818006,1634849,929689,524036,524034,929682,1634834,2817971,4677587,7404238,11162647,16075099,22205009,22204783,22204782,256306861,28439129,36762650,36762651,46648281,38111521,36938843,28439336,28439337,28439663,28439128,21213774,21213773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1755211, s2 = 13405437, dlinesl.size( ) = 112 s1 = 13571871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2369113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2369113, s2 = 15153267, int(edited[s2]) = 0 s1 = 2369113, s2 = 15153267, d1 = 19, d2 = 26 Dl.O(d1) = 64319459,270514869,258343761,51352507,257730677,76015873,70482450 Dl.O(d2) = 266832126,266719639,266946871,241372468,241790617,241790616,267030264,240921171,267078445,267110117,242810949,267214723,242865896,242865897,243175342,243465541,243735826,243986053,244218930,244435061,244479870,244267436,244039027,243793104,243528298,243242993,242937632,242610280,242258345,241878130,241465958,241021962,240542472,266854941,238866375,238210691,237491044,236697850,235827260,234871157,233821740,232668259,231391769,229967518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2369113, s2 = 15153267, dlinesl.size( ) = 2 s1 = 2369113, s2 = 15153267, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2369113, Dl.E( ) = 34, 2.79e-05 seconds used appending s1 = 2462907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2463104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1756220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1756220, s2 = 15840596, int(edited[s2]) = 0 s1 = 1756220, s2 = 15840596, d1 = 94, d2 = 89 Dl.O(d1) = 46444105,57799284 Dl.O(d2) = 267387056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1756220, s2 = 15840596, dlinesl.size( ) = 26 s1 = 6636554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6636554, s2 = 6720414, int(edited[s2]) = 0 s1 = 6636554, s2 = 6720414, d1 = 39, d2 = 41 Dl.O(d1) = 256819151 Dl.O(d2) = 257690581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6636554, s2 = 6720414, dlinesl.size( ) = 26 s1 = 2114897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7869160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7869160, s2 = 14164559, int(edited[s2]) = 0 s1 = 7869160, s2 = 14164559, d1 = 12, d2 = 29 Dl.O(d1) = 46456804 Dl.O(d2) = 256028095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7869160, s2 = 14164559, dlinesl.size( ) = 34 s1 = 2115359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6559921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6559921, s2 = 11655873, int(edited[s2]) = 0 s1 = 6559921, s2 = 11655873, d1 = 16, d2 = 24 Dl.O(d1) = 255966266 Dl.O(d2) = 11832324,7907530,5026501,4566188,2746205,2746206,4566190,7242610,10944854,10944306,7242118,4565836,2745960,1591476,1591477,2745962,4565839,7242122,7242248,4565922,4565924,7242249,10944447,7907917,5026797,5026795,4467297,254226965,883993,498824,279755,279756,498827,883998,1554739,2683913,1554738,883997,883996,1554736,2683911,4467330,7095223,7452602,4708685,2836577,2836574,4708683,7452597,8556324,5553275,3437738,2033726,1164829,1164830,2033729,3403297,254608309,12562963,8571382,5567314,5567313,8571380,9188321,8492459,8492458,255192315,22636080,22636079,30006081,38576929,48490143,59881663,63818347,63818345,67787584,55444046,44593776,35213060,27120711,20217367,20217368,27120714,32774582,32774581,41690779,256102753,25076860,32774179,41690778,44593828,44593827,44593788,256229721,20217372,20217373,27120724,27120759,20217397,20217395,25077237,268483309,256616967,25077236,25077196,18534158,13169122,13169121,8976910,5860452,3658535,2188745,2188744,1270166,1270167,2188699,1270146,725648,412599,412598,725646,1270144,2188696,3658461,5860331,254905965,18533980,254905983,5860438,254638621,8976866,8976867,8976811,5860384,3658488,3658489,5860387,8976815,11248115,7466429,7466426,10843659,7168394,7168395,10843661,15664415,15664426,15664427,21706107,28990149,32774346,37535037,28990139,25077026,18533994,13168987,8976746,5860336,5860337,8976748,13168990,9142836,9142835,13376601,13169172,13169171,268152679,22328281,16182190,16182192,22328285,29679655,268310992,21706083,19355575,13843427,254668713,3899268,3899267,6228088,9495956,13843423,255465243,11248089,7466411,7466410,11248085,16182202,22328296,29679665,268752302,25884394,256142394,38244510,29679659,22328287,22328286,29679657,26033329,19355574,19355573,26033326,28991311,25884417,22328355,22328356,25076885,19224759,13733219,9408206,9408205,13733217,19224756,25884379,33690950,42720983,53170546,259071269,78437391,92474085,106780577,121035348,134834621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6559921, s2 = 11655873, dlinesl.size( ) = 5 s1 = 11655874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10221911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8225240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13704757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6587674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9154891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2465414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6895021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6895021, s2 = 11103704, int(edited[s2]) = 0 s1 = 6895021, s2 = 11103704, d1 = 164, d2 = 10 Dl.O(d1) = 259790199,258000008,57831502,256811110,258000006,258405026,38648343,256128678,20989787,15076551,10398996,10398994,15076545,20989777,28170438,255664706,14918166,10258197,6740899,6740900,10258199,14918171,20814372,27977932,23574960,17263491,15638898,10822114,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386062,16361379,22535198,255664490,36436257,46289255,268746198,28075444,256129212,40799562,40594385,40594384,256644679,256478587,23313933,17050927,11961635,11961633,17050923,23313929,30732872,31080779,39758465,39331590,37260409,28728504,21471229,21471230,28728506,37260413,47166269,255664868,28857910,28857911,31886473,24359253,23314069,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313912,17051342,17051343,23314578,23884101,25459882,22673999,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,30735482,39329817,30731441,23312783,23312784,29769222,24476208,24476209,24476207,268458641,37982065,268972689,30735107,23315961,23315665,23315664,23315844,17052240,11962433,11962434,17052109,17052108,23315485,17052325,17052196,17052197,23313550,23313546,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,11247516,11247512,16181454,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007128 Dl.O(d2) = 48582595,48582594,258786999,100269750,260629359,260629365,114299493,100269744,270336657,59974336,259111300 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2116609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14601155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14601155, s2 = 6899414, int(edited[s2]) = 0 s1 = 14601155, s2 = 6899414, d1 = 7, d2 = 13 Dl.O(d1) = 256822607 Dl.O(d2) = 259882739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14601155, s2 = 6899414, dlinesl.size( ) = 8 s1 = 9342902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2378616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2466476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2466646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2466646, s2 = 4313109, int(edited[s2]) = 0 s1 = 2466646, s2 = 4313109, d1 = 9, d2 = 40 Dl.O(d1) = 70551081 Dl.O(d2) = 166028061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2466646, s2 = 4313109, dlinesl.size( ) = 31 s1 = 13451615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13451615, s2 = 16266352, int(edited[s2]) = 0 s1 = 13451615, s2 = 16266352, d1 = 45, d2 = 42 Dl.O(d1) = 78326479,65046391,65046390,78326477,269653630,70560627,70560626,57859000 Dl.O(d2) = 46482281,36615861,257402037,70540294,84077289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13451615, s2 = 16266352, dlinesl.size( ) = 2 s1 = 13451615, s2 = 16266352, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 13451615, Dl.E( ) = 68, 1.62e-05 seconds used appending s1 = 6473016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162408, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3100064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1415882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1234419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13561579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2120589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9377547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8021809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8021809, s2 = 14536878, int(edited[s2]) = 0 s1 = 8021809, s2 = 14536878, d1 = 6, d2 = 6 Dl.O(d1) = 255507706,17777106,12581410,12581412,17777114,22437625,22437626,21032703,255803373,255951780,256995854,257576195 Dl.O(d2) = 255507706,17777106,12581410,12581412,17777114,22437625,22437626,21032703,255803373,255951780,256995854,257576195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8021809, s2 = 14536878, dlinesl.size( ) = 2 s1 = 8021809, s2 = 14536878, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 8021809, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13492115, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14494072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13201369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13201369, s2 = 15054681, int(edited[s2]) = 0 s1 = 13201369, s2 = 15054681, d1 = 17, d2 = 19 Dl.O(d1) = 7691537,9143443,9143444,11427574,11552534,7747478,7747477,5983927,3741747,2240113,1299033,741350,421331,237762,131246,131247,237770,421348,741378,1299083,1711870,2951823,4805413,2896197,1680631,1680629,2896193,4805405,7596769,11427957,16412244,22595462,29960075,35215972,35215973,39725137,39725135,49744486,44596495,35215618,27123010,20219315,14509067,9983859,9983858,14509059,20219303,27122984,35215584,41334629,41334630,40185822,31500672,24002390,17657636,17657633,24002413,31500705,29747190,29747191,35217275,27124287,27124288,29747136,29747137,38315913,268043188,29747546,38316356,30757178,23334570,23334571,30757181,28304389,21095325,255808029,36801102,38459907,37003886,256003668,25348661,18767029,13363579,13363583,17657733,24002598,28341267,28341270,25348317,25348315,27124044,35216966,31500898,24002543,24002544,31500902,31498902,24001190,17656894,12486215,12486214,17656888,24001177,31498831,24001161,17656880,17656877,24001153,23562576,255994885,37427219,256508196,43169085,256632398,256580848,49744240,50208278,52362163,52362162,256580846,44596895,35215997,27123289,27123290,35216003,33079849,29510027,22169101,16045704,16045703,22169096,25348540,33079310,38311364,48221215,268273494,74005537,74676811,61884698,50394926,40380978,31687183,31687184,40380981,46720871,37000094,28502744,21284535,15320869,15320866,21284519,28502721,37000067,46371290,52705603,42318381,33337964 Dl.O(d2) = 256368990,36730289,255064148,37401382,28860081,21586464,15561451,15561450,21585425,15560690,10763032,10763033,256338433,2542299,2542300,4252564,6783748,10313189,8472465,5476556,3370048,1983081,1983080,3370046,5476551,7776714,7776715,5928076,3706732,2219925,2219926,3706724,3370622,1983436,1132927,1132930,1983448,3370639,3721257,4929505,2973432,1725542,1725543,256451685,24351754,24351740,24351741,19269966,18423023,13085911,8917330,8917329,13085909,18423014,18091277,18091276,24522510,18248772,12945813,12922820,8791017,8791014,8917554,8917553,6011556,6011555,8777837,8917513,13013069,13108518,18452776,268728373,15637133,10820993,10820992,15637131,21675426,16299911,13686910,9373225,6140018,6140019,9373233,12692881,12692882,17915511,24298273,24298259,24298258,18533244,13168477,13168476,18533238,22963070,16726578,16726577,19166869,13686841,9373181,6139987,6139988,9373185,13686851,13686889,12693968,12693970,8862595,5776998,3599463,3599464,5777006,8430010,8430011,7938217,5048285,3058313,3058312,5048279,7938206,11809698,7888444,7888443,7888457,5609093,3483467,3483468,5609101,5202313,3173900,1857979,1060305,1060304,1857974,3173886,4826081,2908337,1687201,1687200,2908332,4826070,5202550,7725061,4889743,4889744,4889802,2946709,1709019,971492,547164,306428,306427,547174,971512,1709056,2946801,4889967,7725462,5610870,5201805,5201802,8119689,7725133,4889779,2946695,2946694,4889771,7725116,254179568,3483463,3483464,5609086,8626510,12697691,17921360,267754506,16458158,22649367,254422166,16636615,11605092,7725480,254140374,8628729,12700758,11604558,11604553,11604817,11604818,7725326,5606373,5393636,5393637,3481288,3481289,5606361,8623044,12693370,8624194,5607349,5010111,3029420,1762678,1762679,3029428,5010120,7888559,11809853,16458150,11604680,11604679,11809868,16879989,11809919,7888609,5608903,5608904,4644617,4644616,7352859,7352848,7352847,7725257,7725259,7890971,11812686,12700836,11604804,11604803,16636267,17921890,16880078,11809954,11809955,16880081,17916050,16880064,12366350,8356211,5393628,5393629,5393644,5393643,8356240,8626066,5608743,5608744,8626073,11809824,7888537,7888526,7725191,7725193,11604673,16636125,17533234,15528430,15528429,16636130,17110516,12697276,8626234,5608909,3483298,3483299,4644621,4644622,7352867,11087463,12077286,8121253,5202901,5202899,8121247,12077187,12077188,8626848,5609362,5609363,8626853,12698162,17921901,16246090,11294848,11294850,15199392,10483342,10483343,11809838,12366363,12366385,17533223,12697072,12697073,17920502,23454031,17176593,17176594,17176665,12077155,12077154,17176664,22344805,16195519,16195521,22344809,23454241,19669095,14099386,9697517,9697518,8626564,5609118,3483476,3483474,5609111,8626552,12697737,17921412,17921857,17911468,17911465,19645256,14080706,9685022,6370407,6370405,9685017,10863332,7182394,7182395,10863339,12698189,8626869,8626868,12698183,17921922,23454113,23454098,17176670,17176669,22306362,17920735,12697251,12697249,12697950,17921661,15199300,10483295,6911608,6911607,10483288,12698193,17921928,24305797,28298750,26403521,24305300,17921441,12697751,8626557,8626558,12697755,12697730,12697728,17921405,24305260,24305744,24305745,29782656,22417059,16251768,15971625,11086424,11086426,11086383,10863311,7182386,7182387,10863317,15208037,10490526,10490524,15208026,21164579,23143692,30560675,39157874,38224356,38224357,255596328,24305521,24305522,29636105,22284409,16141072,16141071,22284406,24150074,24305789,31822370,36795898,28371721,21154701,21154700,21743064,21154771,15199334,10483300,10483301,15199336,21154772,28371794,36868383,37971862,29408027,22077378,15971650,11086443,11086442,11213356,16141096,22284437,29636130,38202845,38355358,38355359,37971793,37971792,38003194,29440755,22107309,22107308,22079405,15973790,15973789,22079402,29409891,254877966,21743038,268005724,37582071,47487303,50555240,40518793,31821844,31821845,29034686,29034687,29440744,255204986,47919278,40518759,255596034,17921336,17909172,12687792,11213376,7440343,7440344,7440323,4701312,2832339,2832340,4701318,7440333,254877948,11105583,7365257,4652643,4652645,7365264,11088652,7353875,7353876,11088656,11088195,11088194,11088464,7353692,7353571,7353570,11088321,8538125,8538126,12585736,11086456,7353738,5536098,3421520,2020782,2020781,3421529,4644741,4644742,7353053,7353003,7353002,11086591,7353015,7353014,4645213,4645214,2798209,2798208,4645407,7353994,11088762,15973974,15973889,15973888,15973557,11088216,7353490,4645029,4645028,7353485,11088203,15971754,254827816,15971187,11085950,7351596,4643689,2797176,2797177,4643691,7351601,7888377,7353555,7353554,7449945,7449946,11227667,15973274,254523416,2797858,1623015,1623014,1763074,2798125,1623156,1623158,2798132,4645240,4645381,4644465,2797647,1622874,1004204,922722,922721,1622623,1622844,1622825,922840,520262,291668,291667,520255,922830,922743,922744,1622672,2797314,4642165,4642167,4643771,2797219,1622610,1622609,1762542,3029174,5009694,7887915,11809016,11809529,7891499,5012337,5012338,5011274,3030134,3030135,5011276,254764826,11086584,12051908,17148263,22079614,15974106,11088907,7354132,7354133,5011257,5011258,7285825,4643875,4643876,7351826,11086179,11807847,7886879,5008953,5008954,4644314,4644315,7349427,5011679,4644237,3029080,1762492,1762490,3029071,1763264,1763263,3030459,5008967,5008968,5011356,7890349,11808067,254179378,7887858,7887859,7890822,7890823,7887107,5009110,5009111,3030233,1763127,1763124,3030226,5011394,7890393,10491191,6918014,6918013,10491190,7887766,5009573,3029106,1762503,1762507,3029109,5009579,4594623,3030503,3030504,5011796,5012190,7286037,7286490,7890819,7286571,4595098,4595100,7286580,7286313,7286309,7890665,11812387,10487486,10487485,11006104,15877594,15205283,15205281,15967572,11082969,7349143,7349144,11082972,15967574,15207819,10490316,10490317,15207821,15878034,11808981,7887870,7887869,11083953,11083955,11084820,11808822,11808820,10489741,10489740,11812285,16879009,11808898,11808899,15967881,11083359,11083360,15204994,15204995,15877868,15877869,15877814,15877813,21971554,21971573,21971574,21971706,15878133,15878134,16882835,16882836,15207109,10489635,10489634,15207104,21161658,16879499,16879502,15210663,10492307,10492308,15205000,11083253,11083254,15967806,15877977,11006514,7286135,7286133,10490896,6917695,6917694,10490891,15206825,11812371,11812372,11809323,7888141,7888142,11809329,15967971,11083462,7349709,7349708,10403654,11809317,7888136,5009837,3029246,3029245,5009832,7888126,11809307,15205243,15205244,21161608,21164401,21164402,22077617,21161248,21161250,15685227,15685228,21733395,21971667,29298418,29403136,29403945,22852597,22852595,29403180,29403179,30246962,27991690,20827286,20827285,21163343,15206856,10489410,6916404,4344414,4344413,6916399,10489403,15206372,16879471,16879470,23139757,22072942,21163298,255073564,24848345,18352301,18352302,23139534,23139533,28379304,21162208,21162207,23139267,16878963,16878962,23139263,255813232,255648866,24252626,25771683,23422680,17145630,12049870,12049869,17145627,23422672,30853346,28379225,28379226,36875907,29298371,29298370,29089062,29089063,36877168,28380754,28380727,21163248,21163249,23303708,23303709,30721229,27974128,27974129,31764368,31764369,36433013,46286075,37973349,36875978,255384130,21161864,28379302,29198461,37759991,46754958,58123513,48199650,38290278,29723443,22367015,22367014,29723440,36943992,28444362,21218358,21218359,28444370,36943997,36875878,28379202,28379201,31077317,24300530,17917381,12694371,8623798,8623797,12694364,17917374,22079335,15973701,15973702,22079341,29409844,31764383,24252621,17875089,12658466,12658465,17875083,24252614,29723688,31884294,31884295,37973339,33070067,25340360,25340362,255811500,25254709,18683867,18683866,254329040,28325514,29685149,22333175,22333174,29685145,31764361,31816415,24300539,24300538,29685155,29685154,29080582,24357495,24357494,31884318,30260120,30260123,30260438,33069968,33293856,25532520,18921798,13489395,9229071,6044495,6044494,9229065,10258361,10258360,14918431,20814764,16996555,11910949,9129708,5974527,5974526,9129702,13358752,9129695,5974520,5974522,8623853,8623851,12694456,17917533,16636866,16636863,22417220,16637227,16636684,16636685,22126239,16011680,11116547,11116546,14499173,16637867,22126274,16637690,11605875,7725972,4890271,4890269,7725962,8649510,8649509,12729352,16636860,16636861,22864037,18760262,18760260,16637792,16637793,22864465,18760059,18760060,25340067,30260450,22864506,16637819,16637821,16011643,11116530,11116532,11605723,7725868,7725869,11605729,16637487,16637124,16636711,11605164,7725529,4890001,4890000,7725509,7725510,11605140,11605662,11605226,11605227,9129653,5974498,5974496,9129645,7725579,7725580,11605248,9129731,5974537,5974538,8649504,8649503,11290674,16240328,16637457,11605710,11605711,16637464,22864728,25340439,18760439,13358885,13358888,18760444,25340444,22865164,16637827,16637826,16011657,11116537,11115279,7372159,4657214,4657213,7372153,11115264,11605475,11605474,16637140,22482881,22482882,16636905,16011670,16011669,16361471,11605230,7725621,4890058,2946839,2946840,4890062,4890291,7726008,11605939,16637781,15169552,13358780,13358779,18760274,22402241,22402240,25340156,25340154,30261065,38843584,32726416,25039082,18505055,13147318,13147316,18505049,25039073,22077120,22077119,22863994,22863993,22863965,16636795,16010003,11115298,7372168,7372169,11115306,16010014,22124190,17862228,17862227,16311333,11348707,11348709,11933868,16311290,22482811,254815990,38591287,30639018,23215802,23215803,20156620,14460092,14460093,20156625,27049491,30018715,30364914,35135163,30018690,22646339,16455671,11465525,7626272,4825021,4825020,7626269,11465515,16455657,22646320,22646421,22646420,22963038,22963037,30364918,32773222,255969670,42646941,33619321,33619323,34083476,26222830,26222829,34083474,43166721,53676889,61511039,50032767,48811353,48811354,50032858,61511093,61523815,74301916,86547905,72948173,72948174,61511096,254850134,40014211,38215637,29649153,22297259,17508122,12345519,8340658,8340659,12345521,17508127,23850688,31344098,31443793,254850142,22044610,15941681,11062203,11062204,15941683,22044614,24051332,17697515,12517184,12517183,17697511,24051329,31555686,40241706,37941164,31764321,31764320,40458735,40123145,38392044,29819652,29819651,24050938,17697168,254864404,5481222,8479701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13201369, s2 = 15054681, dlinesl.size( ) = 8 s1 = 2470963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346196, s2 = 1343808, int(edited[s2]) = 0 s1 = 10346196, s2 = 1343808, d1 = 9, d2 = 26 Dl.O(d1) = 55250261 Dl.O(d2) = 53238413,42787020,33756027,25948251,25948253,33756031,42787029,49768650,61247500,50013047,39995210,31318209,255451080,12332347,8330906,8330907,8145202,8145204,12114066,17232483,21138652,22103720,28311214,21101083,21101082,28311211,23277233,17019060,11935122,7987505,7987504,11935120,13088480,254260900,18876947,254818198,25478678,28347073,33627827,42656675,46968101,38807746,38807748,42656547,33627694,25825737,19174297,13692376,13692377,19174299,20832894,14934391,10270827,254997157,20832891,21999547,15900010,11022623,254605868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6690573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6690573, s2 = 7434173, int(edited[s2]) = 0 s1 = 6690573, s2 = 7434173, d1 = 88, d2 = 149 Dl.O(d1) = 257411140 Dl.O(d2) = 232983170,266360169,236073043,236922402,236073036,235139079,235139078,236073034,266615027,238397889,239038517,266870269,240677559,240173328,240173327,266922313,239627834,239038520,239038521,239627836,266870267,266970909,239627831,239038513,238397885,237695556,236922393,236922394,237695559,237695569,236922406,236922405,237695566,237695574,237695575,237695571,237695570,238397903,266922311,241144690,240677564,240173322,240173323,240173330,239627844,266870275,239038528,239038527,266870273,239627843,239627838,239038525,238397898,237695564,237695563,238397894,238397882,238397883,239038511,266922309,239038534,238397909,237695578,266537775,235139085,234112127,232983169,232983170,266360169,236073043,236922402,236073036,235139079,235139078,236073034,266615027,238397889,239038517,266870269,240677559,240173328,240173327,266922313,239627834,239038520,238397891,237695560,266537769,274852566,230347857,230347856,231735979,230347853,230347855,230347859,231735983,232983167,234112123,266537771,266452665,234112120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6690573, s2 = 7434173, dlinesl.size( ) = 36 s1 = 11656986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6588610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6588610, s2 = 14619476, int(edited[s2]) = 0 s1 = 6588610, s2 = 14619476, d1 = 10, d2 = 10 Dl.O(d1) = 256293689,21054663,15123442,10431193,10431194,255377629,256832345,58011971,258646127,98176076,112138667 Dl.O(d2) = 256293689,21054663,15123442,10431193,10431194,255377629,256832345,58011971,258646127,98176076,112138667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6588610, s2 = 14619476, dlinesl.size( ) = 2 s1 = 6588610, s2 = 14619476, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 6588610, Dl.E( ) = 12, 2.86e-06 seconds used appending s1 = 2123212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6480046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2472683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6625257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6625257, s2 = 10352342, int(edited[s2]) = 0 s1 = 6625257, s2 = 10352342, d1 = 7, d2 = 8 Dl.O(d1) = 256664942,254490881,10442623,256295631,46665094,58037727,70752017,84303710,259647972,87079336,73462168,73462167,87079335,101075440,115151360 Dl.O(d2) = 86890118,73278854,60534502,49134368,259449369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6625257, s2 = 10352342, dlinesl.size( ) = 14 s1 = 2472995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2472995, s2 = 11854145, int(edited[s2]) = 0 s1 = 2472995, s2 = 11854145, d1 = 7, d2 = 7 Dl.O(d1) = 70764681,70764680,268415856,255118034,28239766,258020735,60151196,60151197 Dl.O(d2) = 70764681,70764680,268415856,255118034,28239766,258020735,60151196,60151197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2472995, s2 = 11854145, dlinesl.size( ) = 2 s1 = 2472995, s2 = 11854145, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2472995, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 1645412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2909394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14350391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14049633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14049633, s2 = 4431954, int(edited[s2]) = 0 s1 = 14049633, s2 = 4431954, d1 = 44, d2 = 35 Dl.O(d1) = 59287192,47890983,37973014,37973013,47890981,58090622 Dl.O(d2) = 174924229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14049633, s2 = 4431954, dlinesl.size( ) = 36 s1 = 14875929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14875929, s2 = 11656031, int(edited[s2]) = 0 s1 = 14875929, s2 = 11656031, d1 = 72, d2 = 71 Dl.O(d1) = 30870418,39473838,34577908,34577906,39238710,49165456,60564866,49165289,49165288,60564659,49165051,39238293,30640194,23216928,16944692,16944693,23216933,30640204,26611842,19803868,19803870,26611849,34581417,26594197,26594193,34581407,34585834,28515328,21294121,21294123,22861632,16634913,11603766,11603769,16634923,22861617,22861620,25452508,33199110,36382674,27938358,27938354,31626585,24121243,17759869,12567356,8522302,8522300,12567349,17759852,19785419,19785420,26590500,34577937,26599793,26599792,31626638,29386514,29386516,25319842,18741394,18741397,25319790,25319787,33047943,41991370,40315000,40314999,50340643,48101545,257495408,40314649,31626520,24121195,24121194,19790431,19790430,19794075,14178306,9747060,6409188,6409189,9747061,14174574,13341608,9115313,9115314,13341609,18741461,19800003,19800238,14182710,9749896,6410856,4021858,4021862,6410872,9749924,10042538,14172506,14172508,14176761,9746036,9746039,14173044,9743564,9743565,14172834,9743921,6409023,6409022,9746821,9743841,254757748,18740107,18740109,23751180,17425487,12281996,12281997,17425489,23751184,19788560,14174213,14174212,9750431,9750430,14183605,19801437,19797522,19797523,23751351,17425634,12282086,12282087,17425637,23751360,31234585,39452483,30848340,30848296,268428407,23417935,29217376,21903047,19791891,19791890,256197929,21903011,15823101,15823103,21903018,29217346,37778222,30214270,30214268,27208631,27208630,26608219,19800701,19800702,25540307,33302485,38203990,34595361,26608116,19800620,14183021,9750099,9750098,14183019,19800617,15822397,10964931,7257867,4577318,2753899,2753896,4577310,7257849,10964890,15822324,15822275,14553859,12567105,12567097,10013213,10013212,14552274,20281397,27209546,268555515,14551925,255340833,27209025,31233793,23750446,23750447,31233794,37776755,34580217,29218286,29218285,255883664,47696156,37775021,29213368,29213369,31628190,24122871,17761093,255584501,255882024,50341361,41988676,33045022,25317107,18739474,255090548,12930442,12930441,18229989,24699748,27210770,27210769,34076608,27157971,20246300,16604115,16604114,19801515,19801516,20246255,19337685,13828937,13828936,19337680,26012006,33830041,33662401,30824461,23396603,21900081,15820902,10964060,7257405,4577080,4577082,7257408,268079473,21900083,29214286,37775811,47696800,42887102,42887103,49040905,49040903,39111172,30753009,30753008,269334194,28354690,36852231 Dl.O(d2) = 15189277,15189279,10477359,10477360,10477399,10477400,15189154,21140307,21139923,15188875,10476835,6907799,6907800,10476837,15188876,10477106,10477105,15189266,255810703,15189241,15189242,255131520,7863398,254810433,16841231,20974212,28152625,36626143,255810627,15188801,15188802,15191125,21140263,21140264,21140450,19854255,19854254,15189584,10477332,6908096,4338749,4338745,6908091,10477324,15189568,21140190,15189050,15189049,15189428,15189427,15189236,15189226,15189225,21140393,256111165,28354404,23234242,16961734,16961735,23234244,30655456,39251225,31314917,31314918,39251227,256472275,23234250,23234249,30655467,39251230,41918706,36754319,28259294,28259295,28354378,36851920,36754310,28259286,26261252,19541646,13992496,9612406,6313746,6313748,6878140,8108173,5194771,3169654,3169655,5194775,8108180,12059230,17155779,23432053,17155757,17155756,17155742,17155741,23432033,28354877,36852448,39466232,46640481,36852466,28354900,28354899,30655454,28354853,21140576,21140575,28354851,36852430,46734773,58105896,59756246,48373810,38472189,29913955,29913956,29707753,22352631,16201541,16201542,22352634,17307942,17307943,23622930,31108500,39787951,48823186,38900943,30314342,30314341,38900937,48823176,48825938,38903785,30316889,22916507,16683031,16683030,21139943,21139944,28354147,31107161,23622026,17307442,12184414,8215515,8215514,12184410,17307432,15188978,10476899,10476897,15188973,21140082,21139947,21139948,28354156,30577492,28354239,28354238,30577494,256480860,46734169,46734168,269360823,38903890,36851804,36851805,38903916,30317058,22916635,16683116,11645303,7758257,7758258,11645306,16683118,22916637,22916408,22916407,30316800,28354236,28354235,36851731,36851789,28585120,21354732,21354733,22916475,16683006,16683007,22916478,30316779,30316778,38903695,47936436,38022795,29460831,29460832,30316769,28354291,21140036,15188941,10476875,6907821,4338595,4338596,6907824,10476878,15188945,21140044,22916439,30316812,255505811,11645213,11645212,16682957,22005492,22005490,22005491,29336861,36851799,36851800,38893681,38893682,47936437,38022804,256380986,268399465,28773644,22916380,16682927,11645186,11645185,7758260,4913526,2961808,1717624,976019,976017,1717620,2961803,4913519,7757013,11643552,16680854,17476742,12321804,8322847,8322848,255172835,255561849,17476765,12321823,12321822,17476763,23810456,30316766,30316765,37527057,37527058,38903897,38903756,30316852,22916458,16682988,11645228,11645229,16682990,16682677,16682676,22916064,22916464,16682999,254802529,7758220,11645233,11645277,11645278,16683070,16683932,11645855,11645854,16682838,11645122,7758162,7758164,11645111,11645110,8322948,8322945,12321963,11645036,11645035,12321835,16683915,22916140,22916139,22917707,22914926,22914927,21511881,21511882,22915856,21700640,255122563,11645930,7758657,7758658,11645931,11645937,16684047,22917583,22915861,16682467,254802481,4913190,2961557,2961556,4913188,7757865,7758664,11645009,11644990,11644991,11645832,11645922,7758647,4913783,4913784,7758648,7758579,7758582,11645829,11645941,16682458,11644985,11644986,16682665,11644988,11644987,16682667,254802509,4913435,2961751,2961749,2961920,1717697,1717698,2961922,4913721,2961941,267767493,549547,307640,170226,170228,307645,549556,976080,1717686,1717775,976122,976123,254245957,2961274,2961275,4912827,7757347,254367593,1717593,976001,976000,1717589,2961753,4913436,7757893,7757888,4913205,2961570,2961571,1717471,975927,975926,1717469,976090,975920,975921,1717457,1717062,975663,975662,1717057,254245973,1717920,2961045,2961044,1717765,976118,549579,307655,170238,170233,93720,254072281,16714,9563,9562,16711,29151,51748,93708,170206,307598,549475,975934,975883,549439,307573,307575,549443,254170981,1716744,1716745,1717105,1717106,1717726,1717727,977230,550194,550192,977225,975615,549291,549197,307447,307448,549199,975457,975638,267767485,1717361,975868,254170975,1717041,975821,549407,307557,170185,170187,307561,549410,975827,1717301,2961348,4912916,7757469,7757420,7757419,11644066,11644137,16680826,11643638,11640808,7755241,4911511,2960417,2960416,4911509,7755238,11640806,11644200,7757553,7757118,4912632,4912630,4912604,4912603,7756984,7755338,7755337,11640924,11644086,7757448,4912906,2961344,2961342,4912900,7757434,11644082,15899219,15899218,21998564,22909376,16677054,11640803,8117646,8117647,11644105,7757453,7757452,11644103,16681558,21998600,29328956,29328959,22909396,22909397,16681709,16681708,22909614,16677263,16677264,11644750,11644751,16682449,12071645,8117635,8117636,12071648,254850510,22924121,22909378,22909377,16685394,11647281,11647280,11644085,11644084,16681538,22914656,268111924,22918353,29328925,37897484,30308986,30308984,22919602,22919603,22913979,21998587,15899234,11022017,11022018,15899238,21998596,22918850,22919089,21998603,16689841,16685037,16685038,22918667,29328927,22919006,22919007,16685955,16685956,22919566,16690344,16690343,267997982,16686006,16686007,15899241,15899242,21998599,267844562,7759286,4914284,4914283,7759283,7760108,4914886,2962701,2962703,4914891,7760113,11647604,11647810,11647811,16685432,16493418,11491505,7643036,4835249,254270454,11491501,15899226,21998574,22919594,16685978,16685977,22919592,30319905,22919610,16685990,16685991,22919612,22919860,16686715,11648403,7760773,7760772,7763243,11651260,16690151,22924543,22919070,22919071,254594080,255175534,28237651,28237650,28237672,28237671,36732187,36732186,46620375,38900522,38900523,38900486,38384860,29812430,22445067,22445066,29812428,38384858,46600698,257574363,48823680,46620439,46620440,47625638,47625637,59028325,48822782,38900530,31729894,31729895,31729907,31729910,40423379,50460746,49163818,46600704,46600703,38384882,38384883,48295142,269308896,30313962,255505613,11643599,7757065,4912578,4912577,267983089,16680915,22913888,23848209,23215758,23215759,30638969,39237039,47284923,37375354,28835215,21563990,15542215,15542214,21563986,28835210,37375349,39108568,49038430,49182655,39256843,38486424,38486425,38270519,38270518,37375163,37375164,255098908,37375231,47284788,37375352,37375206,28835098,28835097,37375202,47284793,48382935,48382933,59766105,61956551,50460714,40423334,31729874,24222061,17851022,12641814,8583656,8583655,12641810,17851012,24222046,24222916,268119065,12642159,17851583,24222913,31731081,258291461,88392033,102392527,116486751,130322197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14875929, s2 = 11656031, dlinesl.size( ) = 8 s1 = 2476749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2476749, s2 = 14809424, int(edited[s2]) = 0 s1 = 2476749, s2 = 14809424, d1 = 47, d2 = 57 Dl.O(d1) = 70828450,58113464,58113463 Dl.O(d2) = 245986306,246090897,267507330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2476749, s2 = 14809424, dlinesl.size( ) = 2 s1 = 2476749, s2 = 14809424, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2476749, Dl.E( ) = 74, 4.98e-05 seconds used appending s1 = 2825821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8358646, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15563790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8123056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8123056, s2 = 8287807, int(edited[s2]) = 0 s1 = 8123056, s2 = 8287807, d1 = 12, d2 = 11 Dl.O(d1) = 254735890,2599962,1499997,850137,850138,254492457,10486242,15203078,21159050,28376342,36873026,46752189,58120715,58120710,58120711,70835180,84392172,71585633 Dl.O(d2) = 70835183,58120713,46752188,36873025,36873026,46752189,58120714,70835185,84392179,98300735,112282388,98300736,98300734,98300735,98300726,84392173,84392172,84392171,70835178,58120728,46752200,257419129,38725859,256977436,255110845,254543715,2925186,1696864,964866,543706,304675,304672,543699,964851,1696837,2924871,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457378,826130,826129,1459336,267821253,254705399,14949533,10351843,6816572,4275748,2556391,254155759,832781,1472465,2556399,267878449,3717922,2226332,2226331,3717920,5945505,4280997,4280996,6823999,10360250,15032550,16706795,20901911,255388062,40462323,50498282,268970834,49413536,39483726,30878158,23447610,23447609,28489841,21273549,21273550,23447599,255751784,23447612,28489847,21273553,21273552,17171915,17171914,23447624,30878180,39483759,36986672,36986671,30878145,30878146,39483710,36986689,36986690,46865194,49413566,49413565,58233079,70950237,73560216,256489650,57875135,49413523,49413524,57875129,57875128,255976674,49413547,44523371,35146906,35146907,30878155,30878154,36986708,28489843,28489842,36652698,36652697,46519655,57875132,257318820,58233083,49413553,268665519,30878171,39483744,39483752,39483753,38665068,30087717,255714922,35146911,27061312,20167503,18013766,12766793,12766792,18013765,24425827,31979409,255982504,20167500,20167498,27061304,21809105,18228270,12929195,12929194,16734310,22970151,30371654,256972184,60269665,72693813,72693814,59964434,256168438,72701901,59964424,59964425,72701902,81280356,67813087,255488562,44622068,55471427,67813081,81280351,72701923,72701924,81280395,95338688,84515040,70951495,254597466,36987987,28491071,21274577,21274576,28491069,36987984,46866483,47353033,46391011,36530695,28064476,20893789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8123056, s2 = 8287807, dlinesl.size( ) = 12 s1 = 2129800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6638890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8381436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13382695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2478291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2130661, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11657900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657900, s2 = 8661723, int(edited[s2]) = 0 s1 = 11657900, s2 = 8661723, d1 = 35, d2 = 43 Dl.O(d1) = 256871705,58566205,270303018,257475486,28165096,20985059,20985060,23975018,17627029,12447257,12447258,17627032,23975023,26013415,26013417,26626393,26151603,26151602,22108410,19825239,14201307,9762332,6418674,6418675,9762333,14201308,256200889,28329314,21118728,21118731,25539353,25132947,25132949,26996113,35080968,26996126,26996127,25539661,18927317,18927314,21988790,15892207,15892208,21988793,29317191,37886032,47809284,46750212,255685428,36824318,36824316,34002330,34002329,28672174,21424789,15432933,15432932,15201477,15201478,21157112,26160327,19460503,15134044,10437940,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293938,7293934,11017510,15892769,15605438,10796350,7133384,7133386,10796356,10802343,10802344,15613118,11172071,7412222,4683645,2821933,254351877,7412215,11172062,255456805,29562561,37523285,256102939,256341603,21638682,15607017,10797605,8171295,5240445,3199496,1873090,1873089,3199495,5240443,8171292,12141904,17262280,23573682,31057347,29802055,22435888,22435889,23628049,28912347,21637796,15605958,15605959,17235137,12116500,12116501,17235139,23543517,21645239,17234982,12152565,12152567,11722002,11722001,15603058,21634676,23594351,17339694,12216626,12161022,12161021,11041394,7315771,5394450,3317128,3317127,5353891,4619893,2781826,1613645,917880,917879,1613644,2781824,4619889,7317995,8186112,8186109,8186108,11044245,7319032,4620812,4620813,4032975,4032974,6428320,7317773,11043153,12167901,8199596,5270086,3224663,3224664,5270089,5251312,5251313,8181658,8223399,5293589,5293590,5290749,3242106,3242107,4754996,4754994,4971173,4971174,5254835,5254791,3211196,1880822,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784417,3213507,3213505,5257531,8187972,11044780,11047101,15921924,12216959,8247249,8247251,7322916,4624110,2784659,1615214,1615215,2784662,4624113,5260442,5260443,5291440,5291441,8221452,7318009,7318008,8211400,8211399,11717377,11717378,16764772,12484327,12484326,15919041,11041184,254520119,2780630,2780629,4617868,7315493,5223021,3186205,1864549,1864548,3186204,254577499,5222385,3185817,2999666,2999667,4966465,5224476,8153544,8153554,5224482,3187109,1865043,1063912,1063911,1865040,3187108,5224480,3242277,1902622,1086101,609877,609875,1085548,1085547,1901773,1901774,1901775,2853342,1655837,1655836,2853340,2853321,1655824,1655823,1085139,1085140,1869155,1066247,1066245,599332,599334,1066260,1869193,1914403,1093324,613787,613786,1093320,1095857,615200,615199,1093489,1183693,1183694,1886167,1886168,1920033,1096820,615716,615718,1077766,1077765,609975,609980,1086329,1902994,1904867,1904864,3245359,3259801,3259798,254532217,5281407,3234723,3234722,5269122,3223834,1889694,1078282,1078281,1889674,3223805,5269087,3767270,3767268,5238748,3197949,3197950,1887603,1887602,1080883,607072,607071,1080901,914877,914875,1608142,918993,518288,518289,918997,1615855,1888256,2697325,1610825,919874,518726,290903,160983,160980,184771,184769,336127,603724,1074636,1883661,3215307,5259811,8190465,12160168,268264068,34754742,26734762,26118518,19425123,13898543,9537712,9537711,9537778,13173419,13173420,13930558,9561646,9561648,12643518,8584767,8584766,12643517,8584783,8584782,9119834,9119836,13346597,18746771,18746912,13346697,13346698,18746914,25325909,33054573,30772068,30772067,39372675,47345393,47028530,37140226,37140227,257181158,255573869,255416080,13282154,18674254,21614775,21614774,18109224,18109225,17488712,17488714,16789157,16789156,23032092,24554916,24555770,18118267,18118266,12848445,8737187,8737186,8737518,8737519,12849002,12849079,18120953,24559406,32141452,32966298,39696149,39205189,38013279,38013009,30164613,22775163,22775165,30164620,30438746,23032002,23032001,30438744,39028167,48513023,49282104,39355213,39355214,40916656,38013319,38013317,30609141,30609142,39205137,44524662,40916799,32139403,32139406,40916764,46745271,46745270,49167928,39242186,30646011,30646012,31510681,40196628,31510967,31510964,37522399,28978432,21695679,15655285,15655286,21695671,25117436,18566626,13193826,8994398,8994396,13193816,18566609,15655230,10836144,10836147,14469812,20168238,27062172,35147945,37300689,40261995,31574932,31574934,31778930,32968815,25246647,25246648,32968818,41908197,255812084,37999426,47915430,37999438,29436677,22104015,15993463,11102606,11102605,15993460,22104006,29436665,255811846,48981335,39058642,31510917,24010794,24010795,25427535,25427534,30217621,22825200,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165588,40196605,36636392,36636394,46503639,41314306,41314309,46392424,46392420,40218212,40218213,39434043,33337253,30652748,23231284,16958469,11870579,11870580,16958472,22416069,16250927,11298128,11298124,16250884,22415986,29781428,30217666,23765990,23765988,21202132,256844615 Dl.O(d2) = 71016233,84580538,98505713,112501170,126372618,139748771,152471151,153286364,165099813,263070460,272850456,261144684,125730117,111912238,260267231,259023425,64251795,64251796,77401716,91320238,272379946,139748766,126372616,112501167,99402006,85461253,85461255,99402008,260567461,140606578,151770712,150352471,150352472,150352466,150352467,150682008,137686404,124005053,109865956,95662026,95662027,259265708,109388329,95133703,259784461,261552093,162485550,262082453,137311590,123580273,109388318,109388317,123580271,111912228,97974512,84100503,84100504,97974514,111912230,260840684,111912232,97974517,95133696,81075141,81075142,95133698,271657655,261065702,123580283,109388327,109388326,123580280,137311594,150352469,162485548,273529036,191891830,183323545,173523013,162485555,150352483,137311614,123580311,271974548,125730111,261409330,125730113,125730114,123580293,271168583,81075154,81075153,259784465,109388320,109388321,95133713,95133714,109388325,95133700,81075144,67606832,55265041,55265042,67606834,259156829,109388331,123580290,137311599,273622026,183323547,183323544,262574471,137311583,123580260,123580259,123580292,259784463,81075150,67606835,67606836,81075152,271168581,109388310,259156827,67606824,55265033,55265034,67606826,81075129,95133684,109388312,123580268,123580313,109388362,95133740,81075174,269636065,44417432,257907109,81075176,95133745,95133727,95133728,109388352,123580264,123580263,137311585,260988950,137311609,123580309,123580308,123580257,109388304,109388303,109388314,95133686,81075131,67606828,257307325,44417395,55265036,55265048,55265049,67606840,81075158,95133718,95133705,95133704,260988949,109388358,260397347,271841759,95133747,95133748,109388355,95133732,95133733,109388356,123580307,123580299,109388344,95133722,95133721,259156831,81075166,259784469,260988953,137311611,260397349,95133739,81075178,81075179,95133752,101776497,259451670,74200484,87804041,95133736,81075168,67606847,55265051,44417413,35042935,35042936,257307327,35042930,26962634,26962633,35042928,44417406,55265039,55265072,258527469,44417410,35042969,26962659,26962660,35042971,26962664,256216673,44417442,55265084,67606872,81075189,95133768,270658586,270658585,67606856,55265065,256741909,35042957,44417431,44417434,35042959,26962650,26962651,35042962,256741913,26962663,26962662,256741901,44417386,55265023,67606811,67606858,55265067,44417433,44417421,35042943,35042915,26962622,20078535,20078534,255327613,9902243,254470839,2440339,1410904,1410903,2440336,4078595,6508521,9902237,271524092,35042953,44417426,55265055,257157353,32561525,32561526,41421162,44417419,35042940,26962640,26962641,256741905,26962644,35042947,40310989,40310990,44417388,35042914,26962619,20078533,14396043,254688953,4078593,254470837,9902233,14396046,20078542,26962631,35042926,44417403,257907105,81075137,258985737,63406329,76450195,90280426,81075120,67606816,55265028,55265026,67606815,55265053,55265052,67606810,257307319,35042912,26962617,256741899,55265020,67606806,81075114,95133676,81075112,67606805,55265018,44417381,44417362,256741897,255742517,14396040,9902230,6508515,6508514,9902225,14396035,20078524,26962609,35042897,257307315,67606794,81075104,81075134,257907103,44417399,44417397,271855944,81075109,95133669,81075096,67606787,258527461,55265005,44417366,44417365,257907095,81075095,258527465,257307317,35042906,26962613,26962612,35042903,44417376,55265014,67606800,81075107,258527463,55265013,256741895,26962611,26962610,35042899,44417373,55265011,67606796,71998110,71998109,85584942,258904769,269003907,40310510,40310534,256036173,268446801,40310531,50336454,61819640,74611498,61819617,50336438,40310513,257090137,257673191,40310536,256036175,12563732,8518844,5517122,254608401,12563730,268261267,31622092,257090139,61819621,257673235,40310829,40310830,40310515,31622095,24116730,17755691,17755692,24116733,31622102,40310525,31622352,31622353,40310854,257673239,74611748,259529185,88242042,270962102,88242227,260741285,114860657,102240693,102240692,116336143,271372072,100953542,86969451,73358207,60613649,49213132,49213133,60613651,73358209,86969453,260071533,100953545,260660379,260660377,128758366,123885823,109740486,259329688,81495513,73358198,73358199,259329698,68011953,68011952,60613630,60613631,60613635,268974842,30689235,23273030,17011312,17011311,23273027,257019723,258079888,72247259,64600275,257209785,33332156,25572438,18963415,13527822,13527823,268299279,33332159,42312449,52699543,64600276,77783487,91711370,105919004,261448495,272989319,181002742,263125034,261983333,133973159,120131134,261448495,272989319,181002742,186592094,177266175,166709198,155008693,142360692,142360693,155008696,159555280,159555281,166709201,166709200,177266177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657900, s2 = 8661723, dlinesl.size( ) = 20 s1 = 9704320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704320, s2 = 8235362, int(edited[s2]) = 0 s1 = 9704320, s2 = 8235362, d1 = 182, d2 = 198 Dl.O(d1) = 163914781,174724370,184339850,192754863,192987953,192987952,264109722,201539279,194551671,191416446,263001190,262292962,126200177,112339658,98356996,270870184,70890230,58176014,58176015,258658147,98356998,112339661 Dl.O(d2) = 35090264,35090265,44466694,55312605,59992605,72729991,84896847,259315103,260073536,86409505,86409504,259308690,63837406,63837405,52022438,52022437,63837409,64322115,259026983,64322124,52454876,42102423,257784895,59992602,257446886,256326668,33066607,38684644,38684642,48600733,59992609,256685302,42102418,33148299,25407864,18817331,18817330,255292258,33148295,42102413,47728869,37806984,268395641,21923352,26331365,19603464,14046564,14046563,10975114,7264266,4581107,2756147,1597717,908256,512179,287057,287058,512182,908258,1597721,2756156,4581127,7264301,10653448,7034675,6172083,3861999,2313563,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,1342032,766329,766330,1342004,2313345,3861493,6171226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9704320, s2 = 8235362, dlinesl.size( ) = 2 s1 = 9704320, s2 = 8235362, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 9704320, Dl.E( ) = 208, 4.79e-05 seconds used appending s1 = 8243812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9672278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9672278, s2 = 9424479, int(edited[s2]) = 0 s1 = 9672278, s2 = 9424479, d1 = 57, d2 = 61 Dl.O(d1) = 35336347,27212044,20283706,16780601,11733021,11733019,16780597,23021075,21903423,15823379,15823222,10965435,10965432,15823208,21903165,22822399,16602265,11579039,7707231,7707232,11579040,16602266,21658886,15623092,10809632,10809631,15623090,21658881,22823605,16603153,254796841,7707566,11579597,16603151,22823603,30215785,256984257,60115548,72852428,258809354,100404060,256453660,95095396,255125726,55226176,55226175,67569080,60568529,60568530,70895789,58182160,58182159,58182158,46815272,36936946,36936945,46815269,46815267,36936944,28437497,21212410,15245022,10517093,10517092,15245021,21212411,256305133,21195476,15231682,10507249,6928666,254494629,4361404 Dl.O(d2) = 39209778,35216000,27123289,27123290,33101441,33101442,37604712,33078093,25347678,25347677,33078086,42022024,46818559,44598588,44598587,255220140,36700351,36700353,30001233,30001234,38571806,255321646,55447689,44598283,35217457,33078484,255321644,50208332,40186321,31501132,31501133,268109140,19085276,13626041,255682359,33488078,42483918,52362072,42023719,42023718,38209092,29642490,29642492,33078249,33078250,38351354,256120067,18766565,254917209,5976495,3737529,3737532,5976504,5976485,5976484,9132582,9132581,13363099,18766162,25347350,33077646,33080128,41296229,38460102,29903261,29903258,38435055,29876067,22519049,22519051,23571841,17260669,12140464,8169950,8169949,12140460,17260664,23571824,31055134,38545844,29976995,29976994,29976970,29976972,38545807,42023675,42023676,52362045,49136637 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1381320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2134404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164334, s2 = 11652912, int(edited[s2]) = 0 s1 = 14164334, s2 = 11652912, d1 = 18, d2 = 36 Dl.O(d1) = 243999294 Dl.O(d2) = 265295575,225493680,227451802,229164744,230677996,232026135,230677994,229164743,229164744,230677997,232026136,266471103,266630117,266765727,239168297,266881871,239749068,240285529,240783764,241245712,267106263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164334, s2 = 11652912, dlinesl.size( ) = 2 s1 = 14164334, s2 = 11652912, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 14164334, Dl.E( ) = 54, 2.29e-05 seconds used appending s1 = 1777219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1777219, s2 = 7166770, int(edited[s2]) = 0 s1 = 1777219, s2 = 7166770, d1 = 29, d2 = 15 Dl.O(d1) = 46839747,36960674,28460703,21236181,15267454,15267455,21236182,28460706,36960679,46839759,58207893,70925288,84489635,70925281,70925282,84489622,84489623,70925307,70925306,84489627,258035821,58207879,46839766,46839765,58207904,70925306,84489627,258035821,46839751,46839752,58207882,70925279,84489633,70925293,58207895,58207894,70925289,84489647,84489618,259287185,84489659,84489658,98411341,98411336,258660463,58207885,58207884,256847619,28460705,28460706 Dl.O(d2) = 263486975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1777219, s2 = 7166770, dlinesl.size( ) = 2 s1 = 1777219, s2 = 7166770, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 1777219, Dl.E( ) = 30, 1.31e-05 seconds used appending s1 = 6852752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6800677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10336705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6448099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2484030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2484030, s2 = 9444720, int(edited[s2]) = 0 s1 = 2484030, s2 = 9444720, d1 = 13, d2 = 21 Dl.O(d1) = 70936962 Dl.O(d2) = 21255421,15290740,10555746,10555745,15290739,21255420,18700346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2484030, s2 = 9444720, dlinesl.size( ) = 2 s1 = 2484030, s2 = 9444720, "passes" = passes Sat Dec 09 04:19:04 2017: s1 = 2484030, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 8477234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6902043, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2170370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2170370, s2 = 9447806, int(edited[s2]) = 0 s1 = 2170370, s2 = 9447806, d1 = 4, d2 = 32 Dl.O(d1) = 58844869 Dl.O(d2) = 29527564,256929837,59390986,72122032,73398771,72885976,60149692,60149693,72055926,72055927,73174787,62652468,58091481,48755518,38835493,35237609,35237610,44619867,36423115,36423114,30336792,30251726,255488734,19633233,20233774,27141748,255930526,256520559,23837782,23837780,21254290,21254291,28474000,36972154,37389345,28849420,21577695,21577693,28849416,37389339,257459151,58689405,71422547,84995801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2170370, s2 = 9447806, dlinesl.size( ) = 30 s1 = 13416257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13416257, s2 = 14358675, int(edited[s2]) = 0 s1 = 13416257, s2 = 14358675, d1 = 38, d2 = 46 Dl.O(d1) = 36994620,36994621,46873442,257220006,46873439,58241069 Dl.O(d2) = 233638034,266411967,234704634,233638025,233638026,233638029,233638030,234704632,234704639,234704634,233638025,233638026,233638023,233638024,233638022,232465648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13416257, s2 = 14358675, dlinesl.size( ) = 30 s1 = 2485716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13553393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2479513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2479513, s2 = 15472382, int(edited[s2]) = 0 s1 = 2479513, s2 = 15472382, d1 = 13, d2 = 49 Dl.O(d1) = 70868774 Dl.O(d2) = 8307791,254846621,3295144,1937995,1106989,621155,254089345,56867,32023,32024,32049,32048,56944,103554,189656,344954,343880,343883,618810,1102638,1929872,1928639,1105914,1105915,1105639,620370,620371,1105644,1935749,1935676,1935678,1935618,1106986,1106987,1107717,1107716,1939238,3038265,1768946,1008122,568177,318242,318243,568180,267768543,3038274,5020539,5357112,3292883,1936591,1106164,620673,344900,189146,103295,56822,56820,103286,103395,103396,189333,345219,621236,1105187,1106793,1106794,1107102,1100538,1100540,1926102,1106236,1106239,1936734,3293106,5357353,254813523,5020535,5020536,5519530,254813073,254559603,5020292,5020296,3402308,3402307,5484018,254604593,3405801,3405800,5519131,8290446,5543842,5543843,5357084,3292856,1936571,1936572,2265212,1314065,1314064,2265210,1936135,1936134,3292208,5356257,8302114,12277660,8291647,8291646,12277658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2479513, s2 = 15472382, dlinesl.size( ) = 12 s1 = 16356153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1338588, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14258467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6640473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6640473, s2 = 9289804, int(edited[s2]) = 0 s1 = 6640473, s2 = 9289804, d1 = 53, d2 = 164 Dl.O(d1) = 256853777 Dl.O(d2) = 225671390,265356136,214261605,209870335,204513612,264895751,220880192,223448463,265656297,229299984,274581219,227606593,229299962,265691148,225671375,227606602,274456952,265493079,265805513,230798089,229299973,227606605,265531928,217867093,214261590,214261591,217867094,218346219,214878929,273969312,217867089,265114381,223448442,265153064,264703204,218346222,221260049,220880182,220880183,274454590,229299976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6640473, s2 = 9289804, dlinesl.size( ) = 14 s1 = 8233687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16212210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16212210, s2 = 280330, int(edited[s2]) = 0 s1 = 16212210, s2 = 280330, d1 = 1, d2 = 1 Dl.O(d1) = 100446235,86489141,72894099,256366466,38844781,48764288,60158102,72894097,86489138,100446231,114470411,260565490,164247326,152374593,139654058,126284053,112421245,98432836,84511251,70947580,70947581,62962036,62962035,258723036,103827730,111612048,112518190,98523240,84598226,71033930,58318274,46951319,37071485,257120828,254730919,7006763,254730920,254733720,10640120,15395354,21377029,28612562,257439033,71097910,84660755,98584239,259307136,139819851,139819850,126446969,126446970,126446968,112578194,259307134,98584237,84660753,71097909,71097910,84660754,260521543,126446971,112578197,98584238,98584239,272180155,273101904,193164895,273530138 Dl.O(d2) = 100446235,86489141,72894099,256366466,38844781,48764288,60158102,72894097,86489138,100446231,114470411,260565490,164247326,152374593,139654058,126284053,112421245,98432836,84511251,70947580,70947581,62962036,62962035,258723036,103827730,111612048,112518190,98523240,84598226,71033930,58318274,46951319,37071485,257120828,254730919,7006763,254730920,254733720,10640120,15395354,21377029,28612562,257439033,71097910,84660755,98584239,259307136,139819851,139819850,126446969,126446970,126446968,112578194,259307134,98584237,84660753,71097909,71097910,84660754,260521543,126446971,112578197,98584238,98584239,272180155,273101904,193164895,273530138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16212210, s2 = 280330, dlinesl.size( ) = 2 s1 = 16212210, s2 = 280330, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16212210, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9660731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9660731, s2 = 11657431, int(edited[s2]) = 0 s1 = 9660731, s2 = 11657431, d1 = 10, d2 = 2 Dl.O(d1) = 95182842,95182841,81124420,67657648,257500212,37938532,37938533,47858242,59254812,71991523,85578220,99524841,113535874,104992845,90815300,76939403,63832089,269489076,41706645,32790991,25092707,18546517,13177883,13177882,18546516,25092705,32790990,41706644,52017066,63832088,76939396,63832085,52017062,41706642,41706643,257761451,76939392,76939393,76939394,90815292,260246721,133023050,146257148,158631753,169994514,263326341,196855232,203483694,203483695,209034513,213590665,265081907,223068684,225345350,227323433,229051905,230577782,231937458,233163283,234272063,235279566,234850577,233799461,232644091,231365444,229938422,228330263,226497775,224394012,221971565,219150694,215809608,211770162,206826973,206826974,209034515,213590668,217321911,220429250,223068687,223237325,220634406,217574516,213908336,209443468,209443467,209443469,204002025,263722505,180932770,170805743,262475505,147093453,133849384,119983065,105748385,91524770,77593770,64425206,52551254,42192684,33232628,33232629,42192685,52551255,58145078,46777521,46777520,58145077,70859150,84416625,257201976,112309429,126170163,114919236,100868802,86888647,86888646,86888648,100868804,86888651,86888652,86888649,86888650,73277369,60532992,49132859,39206038,30610015,30610014,39206036,39206033,30610013,255967800,23331896,30754480,39355058,49281939,60682761,73430448,87047741,87047742,101043264,271831772,115117223,115117224,260065828,101043268,115117225,129044311,142418110,155063050,155063049,153219744,153219743,162514249,150382601,150382600,150382597,137340551,123607601,109413792,95158373,95158374,99330881,85387108,71798799,71798798,85387106,99330879,97943208,84070332,84070331,70533994,57832508,57832509,70533995,84070336,84070333,84070334,71035247,71035246,58319636,257432280,28569863,21342067,15367445,10618004,10618003,268206347,28569860,21342065,21342066,28569861,37072701,46952653,58319632,58319633,60094690,48698619,38776317,38776318,48698620,60094692,72831959,86426944,98524446,86426945,86426946,84599507,84599508,98524445,98524450,84599512,71035244,71035245,84599514,98524454,112519317,126389902,139765362,138763614,125434451,125434450,138763613,138763607,125434444,111631232,111631233,125434445,138763609,138763600,125434437,258958908,97709724,111631229,125434439,138763603,151465045,140057935,126710457,113358882,99357042,258719189,269330265,37762501,37762502,47684725,47684726,59084606,71825640,258719191,59084613 Dl.O(d2) = 37762506,29201095,29201094,29201093,21888562,15811976,15811975,21888560,29201090,29201096,37762507,47684734,43042526,33984986,26145083,19447751,19447752,26145086,256693077,43042539,43042515,33984972,33984973,43042516,43042511,43042510,43042521,33984976,33984977,43042522,53521046,65545197,65545195,78880307,78880322,92991912,107402205,270328150,84980459,71406399,58672192,47280969,47280968,57728734,46378480,36519192,28054522,255040620,14982581,15491833,10731233,7090393,4464423,4464424,4465155,4465157,7091662,10733298,15519365,21172442,15213584,10734478,7092400,6920003,4347303,4347304,6920005,10494299,15213612,21172474,15519547,10733417,7091750,7091751,7092967,7092958,4465903,4465904,7092963,10734707,15521409,14960600,10293196,6766731,4240734,2535526,2535527,4240740,6766743,10293212,10733606,15519797,21534352,20885359,15517060,15517062,21498790,15492051,10713129,7090387,4464420,4455686,4455687,7077407,10713000,15491884,15213601,10494290,6919999,4347302,2603629,1502503,1502504,2603634,4347310,6920011,10494311,15213634,21172492,28391793,21534008,21526369,15522181,10735321,7092950,7092949,10729709,10729710,15492117,15514013,14960590,14960591,20862185,14960441,14960442,14960621,14960623,14960631,18541303,18541076,13174288,13174287,10731757,7090728,7090730,10731759,255408225,28758244,21531078,15517501,10732058,254504010,4464714,7090913,10732055,15517494,21531066,28796412,37333869,47243759,58637368,47243769,47243770,58637378,58637377,47243771,47243763,37333874,37333873,256335300,71374287,71374300,71374299,84950440,84980434,71406374,71406372,84980432,270297796,98876403,98876404,84980436,258146736,98879190,98905818,98879198,84953682,84953676,71378226,58642183,58642184,71378228,84953679,98879192,260538211,140062250,126745283,112893393,98905827,84980442,71406381,58672173,58672174,71406383,84980447,98905836,112893387,112893386,126745276,126745288,112893397,98905830,270382701,49935620,39917687,31242245,23758227,17431105,255557593,31242243,23758269,17431138,12286014,8297124,8297123,12286012,17431135,255515604,256461340,23190587,23190586,30610012,39206032,42434956,33441975,33441976,269089649,52840052,42434959,33441980,25671821,19051000,19051001,254933095,6104203,6104206,9272182,9351669,6125413,6125414,9351672,13656597,19126833,25766477,33556005,37796291,29233881,21916602,15833229,15833228,21916601,29233878,255205530,28034525,28375904,21158665,15202760,15202759,21158662,28375900,36872554,46751705,48185664,38276240,38276241,48094303,54595750,51431536,51431535,59661522,48273663,256408759,22424356,22424355,29789849,38362310,48273661,42012336,42012335,36967603,28468938,21247756,21247757,28468941,22424330,22424329,29789796,29789984,22424488,16258371,11303648,7504687,7504688,10999800,7504579,7504578,11303487,16258172,17268840,12148049,12148048,17268838,22423477,16257569,11303057,11303056,14190010,15870863,21964978,26619890,19810259,14189997,9754652,6413763,4023522,4023521,6413761,9754651,255314129,26619888,19810256,19810257,19810266,14190001,14190000,19810264,256199671,26619897,34608147,258504041,94365083,108653062,122918138,109510190,95255994,257317774,55395887,55395886,257317778,95255993,255750910,254980354,95255564,81199485,254473482,109509746,123701553,123701969,109510193,95255995,256752064,123701967,137432034,150469402,140872335,127516836,113645179,99631529,85682489,72096012,59362751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9660731, s2 = 11657431, dlinesl.size( ) = 2 s1 = 9660731, s2 = 11657431, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9660731, Dl.E( ) = 12, 2.48e-05 seconds used appending s1 = 8466388, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2490718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6566585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6566585, s2 = 14940730, int(edited[s2]) = 0 s1 = 6566585, s2 = 14940730, d1 = 24, d2 = 29 Dl.O(d1) = 256037352,71060342,58344158,46975049,46974921,37091916,28586041,28586042,256318288 Dl.O(d2) = 98547727,112541907,269293538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6566585, s2 = 14940730, dlinesl.size( ) = 16 s1 = 10348266, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163764, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2144857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2144857, s2 = 11628120, int(edited[s2]) = 0 s1 = 2144857, s2 = 11628120, d1 = 0, d2 = 83 Dl.O(d1) = 58370336 Dl.O(d2) = 267389875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2144857, s2 = 11628120, dlinesl.size( ) = 74 s1 = 2492409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2492568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 973021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2145673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2493352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2493352, s2 = 4225043, int(edited[s2]) = 0 s1 = 2493352, s2 = 4225043, d1 = 0, d2 = 15 Dl.O(d1) = 71104956 Dl.O(d2) = 161395632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2493352, s2 = 4225043, dlinesl.size( ) = 26 s1 = 7633528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7633528, s2 = 10347904, int(edited[s2]) = 0 s1 = 7633528, s2 = 10347904, d1 = 78, d2 = 111 Dl.O(d1) = 270289790 Dl.O(d2) = 255321624,14339786,267870480,254213692,35179956,28393189,21173624,15214532,15214533,21173625,28393191,36890274,46768554,48277680,255912012,47957802,47957804,38366071,38366072,41741828,32820710,32820709,41741259,41741290,34984550,28537331,21314296,21314295,18565581,13193128,13193129,18565582,256105667,41741208,258378261,259632453,105042035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7633528, s2 = 10347904, dlinesl.size( ) = 2 s1 = 7633528, s2 = 10347904, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7633528, Dl.E( ) = 116, 2.6e-05 seconds used appending s1 = 9335339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8700188, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2146683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348531, s2 = 2151112, int(edited[s2]) = 0 s1 = 10348531, s2 = 2151112, d1 = 11, d2 = 11 Dl.O(d1) = 266160994,274662200,265845344,274183974,273850932,258051131,47031369,47031368,58403478,71121208,72718855,256430836,100277310,100277311,114306720,128188824,259921610,84783314,71214242,71214243,84783317,98711469,98610366,270290153,257440727,71121212,84685541,258787493,258163819,59980278,72717215,71121214,59980284,48588784,48588783,270336786,258787490,258163820,72718858,86316025,269312438,58492411,47114189,37217035,255400700,268461354,255218114 Dl.O(d2) = 266160994,274662200,265845344,274183974,273850932,258051131,47031369,47031368,58403478,71121208,72718855,256430836,100277310,100277311,114306720,128188824,259921610,84783314,71214242,71214243,84783317,98711469,98610366,270290153,257440727,71121212,84685541,258787493,258163819,59980278,72717215,71121214,59980284,48588784,48588783,270336786,258787490,258163820,72718858,86316025,269312438,58492411,47114189,37217035,255400700,268461354,255218114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348531, s2 = 2151112, dlinesl.size( ) = 2 s1 = 10348531, s2 = 2151112, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10348531, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11658250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658250, s2 = 8344232, int(edited[s2]) = 0 s1 = 11658250, s2 = 8344232, d1 = 2, d2 = 5 Dl.O(d1) = 258870026 Dl.O(d2) = 47034925,37145946,28631963,28631960,21393034,21393033,28631957,28631962,28631961,37145945,47034922,58407390,65944423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 2147154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2147154, s2 = 4271371, int(edited[s2]) = 0 s1 = 2147154, s2 = 4271371, d1 = 0, d2 = 10 Dl.O(d1) = 58409452 Dl.O(d2) = 164422520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2147154, s2 = 4271371, dlinesl.size( ) = 2 s1 = 2147154, s2 = 4271371, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2147154, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 9208345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 689837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8177874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6591686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2496392, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6802479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6802479, s2 = 6591981, int(edited[s2]) = 0 s1 = 6802479, s2 = 6591981, d1 = 10, d2 = 13 Dl.O(d1) = 258679548 Dl.O(d2) = 256327154,10665671,254500749,2661402,2661403,4433019,7043969,10665685,15428244,13063228,13063226,10295145,254999593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6802479, s2 = 6591981, dlinesl.size( ) = 14 s1 = 11658880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8404560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2149807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13322465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7645240, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10187011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9088499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9088499, s2 = 3606100, int(edited[s2]) = 0 s1 = 9088499, s2 = 3606100, d1 = 35, d2 = 36 Dl.O(d1) = 2079514,3499141,5631066,8657013,12739415,17976416,24374531,24630069,18176119,15609564,10799538,7135504,4492308,4492310,7135508,10799546,11902653,7960627,7960628,10846741,7170626,7170628,10838924,15655070,10836051,7163030,7163028,10836048,15655063,15655981,15655982,13495592,13495593,255669761,29709596,22354263,22354262,16202881,11263497,7477387,4725721,4725722,7477389,255089527,13654193,9349963,6124226,3831739,254451929,9349958,13654184,19123912,256151011,42570144,269577342,84547982,70984898,58270309,46904954,37027677,28529662,21307306,15337601,10593252,6988119,4391195,2631031,2631029,4391184,6988097,10593219,15337538,21307192,28352309,21138391,21138388,15187776,15187777,21138432,15902075,15902076,22002139,29332902,23442551,21307383,255824559,23689307,31178625,37515844,28972339,21690152,15650523,10832635,7160785,4510066,4510065,7160823,10832709,15650644,18144258,15337512,15337511,21138516,21138515,28352466,21138551,15187859,10476154,10476155,15187862,21138558,28352472,28352473,21860931,21860929,29170481,23562997,23562995,29170646,21861047,15788616,10938463,10938462,14574121,20308331,27238439,21861057,21861056,24589930,24589761,18144567,18144566,12866560,12866527,8750129,8750130,12866550,18144648,24589875,24648998,18192041,18192043,24649021,32247455,25320944,18742134,18742136,16726517,11683937,11683940,16726530,22962976,24942829,18429066,13090292,8920421,8920419,13090289,18429063,24942822,31179007,23689631,17367501,12235746,8261906,5330307,3276393,3276394,5330308,8261909,12235752,12298710,12298711,17447371,23777295,28711756,21456524,21456523,28711754,37242782,47148211,47148217,37242872,37242871,47148221,37242791,28711762,28711761,37242790,28711837,21456587,15457339,15457340,21456590,15457351,15457352,21456611,28711871,28711865,21456606,15457349,15457350,21456607,28711867,28711885,21456625,15457360,10687598,7060335,4445051,2670254,1546580,879027,879026,1546577,267787224,7060319,10687566,15457305,255405186,37242794,47148224,47145785,37240463,37240462,47145783,58534099,71265845,84840029,98767249,112757230,126612951,139967168,152666016,152666017,139968538,139968537,152667326,164512181,164510929,164510928,152667336,152667329,139968539,126614406,112758989,98769258,84842438,71268482,58536821,58536822,71268485,84842441,84842446,84842445,98769269,271306818,139968547,139968546,152667337,152667344,139968553,139968554,152667347,272836338,175283529,164512192,152667339,139968548,139968550,152667343,164512196,175283533,184842471,262178816,164512190,175283527,184842470 Dl.O(d2) = 155852441,143307149,143307150,143307176,261842185,260727012,128645904,260130358,166369435,176962008,186331321,187207159,263247656,201497064,194499627,262349048,167546995,155935084,143394869,143394870,130064858,130064859,143394883,155935103,143394909,130064883,116156722,116156719,130064881,143394908,154652571,142008638,142008639,143394842,130064830,116156691,102099517,102099516,116156690,130064826,143394830,155935048,167546968,167472704,155852441,143307149,143307150,143307176,261842185,260727012,128645904,260130358,166369435,262349060,166369433,154652589,260727012,128645904,260130358,166369435,176962008,186331321,262349050,155852448,155852449,167472709,172630472,161453482,149166256,149166257,161453483,261842200,187207154,177951618,177951619,187207158,187260445,178015071,167546971,155935055,143394852,143394851,155935060,155935107,155935108,155852503,155852504,167472733,177951635,182557615,172630477,161453487,261842192,167472761,177951651,187207178,187260447,178015073,167546973,155935055,143394852,143394851,155935060,155935107,155935108,155852503,155852504,166369425,154652582,154652581,155935040,143394818,143394817,155935035,166369413,166369414,176961987,167546957,167546956,167472737,155935044,143394825,143394826,155935046,155852510,143307229,143307230,155852513,167472742,167472757,155852523,155852525,167472758,177951647,178015086,260130340,155935090,271863368,178015075,178015084,178015083,187260448,187260452,187260453,262349044,262820262,202623139,195828349,187893442,187893441,195828348,195828354,187893445,178792472,178792471,178792473,178792476,262812280,195828358,187893449,178792475,178792474,187096044,177823033,167327168,260209480,187096046,195170776,195170770,187096039,177823024,177823025,177823029,167327162,155693680,155693681,155693689,155693685,143140014,129808026,129808025,129808038,115908156,101862312,87888993,74286523,61509954,50031706,50031708,61509958,74286529,87889004,101862324,101862316,101862317,115908158,115908159,269455740,115908153,129808036,143140028,155693703,260209484,155693700,143140025,258967164,167327171,167327172,167327176,167327175,177823041,173234424,162134816,149922959,149922960,162134811,149922957,149922958,162134814,162134818,162134819,173234421,162134822,260960716,136787108,149922965,260960714,122956676,108691196,94403965,80349553,66923291,54666784,54666783,66923290,54666786,43924288,43924287,268528030,26659724,26659725,34651077,43924289,54666787,66923295,258483416,108691203,103865867,103865868,89762453,75983814,63001020,51321808,41137830,32323782,32323781,32323786,41137837,46910301,37033334,28535376,21312681,15342444,10597285,10597286,15342432,15342431,268158922,10597275,15342430,255395739,28535350,37033304,46910260,43887559,42413821,33422520,26293658,19571716,14020402,10276115,6753273,6753271,10020927,9920655,9920658,9184384,6011298,6011297,9184418,6415764,4025108,4025109,6415766,9757444,14193771,10435152,10435151,15129460,14193555,9757304,6415691,6415690,9757303,14193554,19814850,26625716,20342110,14599859,14599858,20342108,27277825,28004027,30584301,23166325,20094463,14407195,14407194,14981513,10313525,255001463,268371857,36517798,46376981,46376980,270273317,83948843,83948842,97808060,111729967,125536008,137328388,123596980,123596981,137328392,137328394,123596984,109405180,95151145,95151146,109405182,109405176,109405175,95151148,258529093,55290209,44446018,44446017,44446019,55290210,67628177,81093747,95151149,109405186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9088499, s2 = 3606100, dlinesl.size( ) = 28 s1 = 7649399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2499889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2499889, s2 = 10135463, int(edited[s2]) = 0 s1 = 2499889, s2 = 10135463, d1 = 23, d2 = 162 Dl.O(d1) = 71272584 Dl.O(d2) = 254735712,255810237,15184749,10474090,10474092,255168066,15184705,15184714,15184715,18944767,18940911,13504756,9239816,6051503,6051504,3792414,254205569,751685,751684,751142,254147575,1316855,2270462,1513608,1513609,2622444,4378478,4294441,4294442,6844003,10384819,15059357,17157303,254559906,5195494,5195492,268109606,13507552,16649757,16649758,18945127,13508476,9242748,6053440,3788048,3788049,254378461,1793635,1793605,1316499,1316501,2269703,3788438,6052294,6052295,254926279,18942896,25556053,32406133,257148453,63125776,76131249,89936875,104065977,118224997,132044947,145282584,157694401,149898442,136757287,122925935,122925934,136757284,136757292,122925938,122925937,136757290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2499924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2499924, s2 = 2499923, int(edited[s2]) = 0 s1 = 2499924, s2 = 2499923, d1 = 0, d2 = 0 Dl.O(d1) = 71272983,71272982 Dl.O(d2) = 71272983,71272982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2499924, s2 = 2499923, dlinesl.size( ) = 2 s1 = 2499924, s2 = 2499923, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2499924, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 2500245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6642266, s2 = 8300796, int(edited[s2]) = 0 s1 = 6642266, s2 = 8300796, d1 = 1, d2 = 3 Dl.O(d1) = 256871613 Dl.O(d2) = 98798182,260008606,100014914,86051626,268947216,22497480,29860106,33455770,33455769,38411783,48323284,48671277,48671276,49873509,46895437,46895438,48323471,38432595,36783408,29846554,22480446,22480447,254836474,15142323,21080663,22425501,22425502,28286970,21080908,15142471,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081520,28287594,36783438,38413940,29842782,22475728,16305514,11345009,7539053,7539052,11345006,16305510,15909567,15909566,22011098,29343136,22524029,22524027,22515960,16342537,16342536,21296538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6642266, s2 = 8300796, dlinesl.size( ) = 2 s1 = 6642266, s2 = 8300796, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6642266, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 10353961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353961, s2 = 10356154, int(edited[s2]) = 0 s1 = 10353961, s2 = 10356154, d1 = 37, d2 = 78 Dl.O(d1) = 261694276 Dl.O(d2) = 23352517,23352518,30776321,39377816,49305499,48573610,39377612,39377611,49305352,269846033,260706059,129668839,115772099,115772100,259638638,258384484,86036799,258010836,22466266,29833095,30509125,23093979,23093980,20810892,20810891,19899094,14254887,9797920,9797919,14254885,19899090,20355458,14611455,14611457,20355463,27290053,20839771,255004292,10275523,14940399,15037789,15037788,20946397,27986561,21885047,20354088,14610286,10053253,10044733,10044734,13308792,9090123,5946697,5946696,9090118,12338998,8335911,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599043,19049451,19049452,25669892,254912406,12418244,12418243,255002538,255789502,255506582,43967833,34692606,27126392,20221719,15901071,11023519,8046404,5136471,5136473,8046415,9779938,9779934,12549738,17736895,19855916,19855939,14226328,9779921,9779920,255317203,268539359,32411515,34667688,34667689,42575308,39428465,30824171,30824172,32987956,25264539,18693113,13300041,11529784,11529785,16543082,22754318,30140140,30265172,22868695,16640861,16640860,22868693,256741915,30854875,30854874,39459217,49387527,60788380,73535721,87154148,101152027,115229372,261258259,262314031,177416300,261834718,260719600 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2828114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140615, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8236065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2155308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6642463, s2 = 6595458, int(edited[s2]) = 0 s1 = 6642463, s2 = 6595458, d1 = 53, d2 = 67 Dl.O(d1) = 256873063 Dl.O(d2) = 256363205,10955486,10955485,15809451,21885675 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 815533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 815533, s2 = 6642462, int(edited[s2]) = 0 s1 = 815533, s2 = 6642462, d1 = 0, d2 = 0 Dl.O(d1) = 21174118,21174120,28393854,36891038,256363204,257484856,256873062 Dl.O(d2) = 21174118,21174120,28393854,36891038,256363204,257484856,256873062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 815533, s2 = 6642462, dlinesl.size( ) = 2 s1 = 815533, s2 = 6642462, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 815533, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11656958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656958, s2 = 8148261, int(edited[s2]) = 0 s1 = 11656958, s2 = 8148261, d1 = 56, d2 = 49 Dl.O(d1) = 32487431,256600931,51557750,63276188,56329729,45282578,45282577,55399992,44553422,35175935,27087888,27087889,35175936,44553424,55399995,67738981,81203513,95259422,109513513,123705190,137435214,150472590,157708415,145296649,260815493,259602769,89946862,104077125,118237295,261384551,154105535,141434529,128069145,271346533,72591502,59853910,48463243,48463242,44467423,35090956,27005127,27005128,35090957,38160718,38160717,48073563,59464489,268679992,26003352,25123036,18571286,18571287,25123038,25124012,18572039,18572038,25124011,32828410,26003070,19330091,13822695,13822694,19330090,25123646,32827930,41748527,41747816,41747815,33818399,33818400,33818292,26001161,19328688,19328686,19330384,26003428,33820633,269109245,258679380,52051210,46702545,36820055,36820054,42861578,47087741,37192001,32817036,26002145,26002146,25125244,18572986,13198260,13191248,13191246,255643849,32817005,258378077,63871911,76982686,90860745,95362256,95362257,260412797,137518771,146047907,132820093,118990906,270155392,257334888,40377618,40377619,50412148,61902577,71356961,58619726 Dl.O(d2) = 71356966,257334890,257334894,50412146,40377617,40377619,256768168,47226343,47226345,58619742,71356978,84933929,84933926,71356966,58619730,50412147,40377618,256436520,17807694,12606544,8555656,8555657,12606317,8555462,8555463,8968601,8968599,7729155,4895339,2950189,2950190,4895343,4801590,4801592,4866913,4904767,2956256,1714165,1714164,2956168,2956169,4904648,4899801,4899802,7584098,4797024,2891531,1678272,954835,538403,538404,954838,1678278,2891539,4797034,7584117,11412504,11447836,7744971,7744972,11620271,7738780,4899854,2953108,2953106,4899848,7610552,11444329,12695176,12695175,15931020,11436061,7603977,4810587,2899271,1682157,956624,956626,966902,966903,544739,544742,966964,1700930,2932715,4866937,7690914,11557365,16576413,20929576,15732928,10896359,10896362,15732933,11556895,11556894,16417687,11433634,7601801,7601803,10347851,6813147,4273414,2555046,1471764,832466,469448,263969,263970,469468,832503,1471840,2555207,1678580,954961,538453,538454,954964,1678590,2892182,4798218,4899821,4899823,2957070,2957069,4906186,4804405,4804402,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731589,7593774,4803535,4803533,7593768,4816207,2902388,2902389,4816213,7612554,7683872,11549370,10508934,10508932,15233966,11421142,11421143,12316316,11449467,11419553,7589889,4800939,2900786,1682928,1682931,2900796,4813390,7608484,8730681,5683931,3535748,3535747,4801420,7590633,11291773,11415054,11421217,11437567,11418494,7589030,4800374,4800373,4129479,2470192,1427776,1427777,2470197,3535924,2104627,1211840,1211836,2104613,3535662,254517572,8988875,5868662,5868664,8046313,5136429,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,4037932,4037931,6437035,9791428,14243482,14244250,15866212,13332754,9109815,9109814,9791379,6437016,4037920,2419621,2419622,4037926,6437025,9791408,9905060,14400377,14400397,14225015,9779083,6429655,4033752,4033750,6429649,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656958, s2 = 8148261, dlinesl.size( ) = 48 s1 = 2503559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13979545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13382195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13382195, s2 = 6550765, int(edited[s2]) = 0 s1 = 13382195, s2 = 6550765, d1 = 26, d2 = 23 Dl.O(d1) = 33321075,33321074 Dl.O(d2) = 255866915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13382195, s2 = 6550765, dlinesl.size( ) = 28 s1 = 8049646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2505107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8292233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10145913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657082, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2160331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2160331, s2 = 16272636, int(edited[s2]) = 0 s1 = 2160331, s2 = 16272636, d1 = 33, d2 = 30 Dl.O(d1) = 58688990,71422147,84995401,98920172,260540457,140109517,152802963,164640913,175402447,184950809,193288281,200444091,206487786,211483824,264968041,218940467,221787615,224229266,224229275,221787621,218940473,215566452,215566451,218940469,265546089,228189915,274553845,226345884,226345883,228189927,274553845,228189911,226345871,224229277,224229278,226345881,274553847,229809540,228189918,228189919,265703977,224229271,221787618,218940474,265179361,221787621,221787622,224229278,226345881,274553847,229809540,228189918,228189919,265982321,232537770,266321339,235728074,235160003,235160002,236091423,236606096,236091424,235160007,234136434,233011486,233011485,234136431,235160000 Dl.O(d2) = 208116292,202351930,202351929,195495466,187478107,178264944,167823511,156230385,156230384,143701128,260969336,102438667,88436621,74804045,62007332,62007331,58055599,46681526,36795693,28298603,254962792,15149614,21090658,28298604,36795695,46681527,58055600,70773556,84332365,98239688,112218114,126074245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2160331, s2 = 16272636, dlinesl.size( ) = 2 s1 = 2160331, s2 = 16272636, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2160331, Dl.E( ) = 34, 2.81e-05 seconds used appending s1 = 2832758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13392635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13392635, s2 = 8956951, int(edited[s2]) = 0 s1 = 13392635, s2 = 8956951, d1 = 57, d2 = 73 Dl.O(d1) = 11276653,11276652,16221481,17692270,24044586,22377660 Dl.O(d2) = 240769698,266911284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13392635, s2 = 8956951, dlinesl.size( ) = 22 s1 = 2160650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10201902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 423529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2163130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 592375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 592375, s2 = 16269916, int(edited[s2]) = 0 s1 = 592375, s2 = 16269916, d1 = 6, d2 = 1 Dl.O(d1) = 50429307,50429707,40396329,31704205,24196562,17827296,12622635,8568787,8568786,8568731,254872931,17827149,16053566,16053565,22179707,22616841,17849020,17849019,24219272,31725895,24219267,17849015,17849016,24219269,25831010,19178381,19178382,25831013,33633699,30844107,30844106,39448462,33633743,25831054,19178407,13695439,13695440,17456265,17888786,12671040,8604934,254876425,13695374 Dl.O(d2) = 259454092,101070852,259462188,101070853,111641341,97720655,83861983,255979850,255146166,27990019,23593025,23592818,23592817,19534943,13987359,13987358,19534942,25572471,25572472,20838483,14939245,14939244,18671236,255006228,9063654,13279245,18671242,15598454,15598456,10790706,10790704,15598478,21629470,28903809,37443215,47349924,58737640,71467321,85039278,91842015,77918733,64728569,64728570,77918734,91842014,106039673,271860346,120244488,134080162,147296694,159648956,170967937,159648958,147296696,134080163,134080164,141630575,141630576,141630578,128280546,114404612,100381592,86425932,72830928,60093556,48697371,38775097,30191375,22801362,16584354,16584353,11564727,11564726,16584356,255938625,22801326,22801279,16584291,16584290,22801277,30191289,38775004,48697289,60093491,72830888,258656501,58156062,46788597,36910900,28413422,21191835,21191834,28413424,25083549,18539517,13173143,8979835,5862768,5862769,3660310,2189998,2189995,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12665648,17783393,12586079,12586080,17783396,24150562,30102538,28003231,21630739,15599675,10791607,10791609,15599679,20339250,14597232,10044159,6600591,4135133,2473616,2473615,4135130,6600580,10044139,9478599,9478597,6749197,4229008,2528553,2528554,4228999,6748796,10269868,14933155,20831522,254735534,37247065,47152369,58540743,71272381,61883630,50393798,48745960,38825897,38351393,38351395,46818624,46818623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 592375, s2 = 16269916, dlinesl.size( ) = 2 s1 = 592375, s2 = 16269916, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 592375, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 10212704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10191071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13219351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13219351, s2 = 11408824, int(edited[s2]) = 0 s1 = 13219351, s2 = 11408824, d1 = 63, d2 = 41 Dl.O(d1) = 267979327,255104851,11457737,11457736,11457735,16444784,22631949,30001496,38572066,30333902,22933149,267834214,11457733,254551712,22631945,30001488,38572056,48485221,258156237,256423573,30001494,256451294,48840670,48840669,48840668,255123674,30001499,30001498,30001486,268323700,14588478,14588479,20327661,27261810,35387111,44811676,255177294,68114620,71506133,71506134,255851488,256885758,126846364,112992782,99003518 Dl.O(d2) = 261948958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13219351, s2 = 11408824, dlinesl.size( ) = 36 s1 = 2166559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6553750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553750, s2 = 5273282, int(edited[s2]) = 0 s1 = 6553750, s2 = 5273282, d1 = 0, d2 = 4 Dl.O(d1) = 255900372,71514505 Dl.O(d2) = 193349491,193349490,200498746,206536102,211525550,215602328,218971735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6553750, s2 = 5273282, dlinesl.size( ) = 2 s1 = 6553750, s2 = 5273282, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6553750, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2514261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6805034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6805034, s2 = 669737, int(edited[s2]) = 0 s1 = 6805034, s2 = 669737, d1 = 24, d2 = 50 Dl.O(d1) = 258703041 Dl.O(d2) = 7797383,7966467,7966466,11879858,7941852,5050759,3060094,1783907,1783908,3060097,5050767,7941872,11879885,16967914,254384682,15668355,18822792,13410293,13410292,254568502,23235498,23235499,267838188,16983225,16967904,11879876,7941865,5087087,3086345,1802013,1802016,3086355,5087104,7940874,5164434,5164433,7789480,7789481,7790394,5050089,5050091,7940622,7962060,5064953,5061713,3066669,3066668,5061705,7957962,11887667,11887666,11943685,11902546,7960529,7960528,11902543,16973521,11886061,11886062,15653661,15653662,17274809,17274807,17098060,255144416,5163897,267796287,254258355,4511139,267790697,942781,942782,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,5254588,3211080,1880742,1072956,602846,335712,335711,602841,1072944,1880714,3211022,5254487,8184974,12154518,17275045,23587050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6805034, s2 = 669737, dlinesl.size( ) = 32 s1 = 8506207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8506207, s2 = 7999750, int(edited[s2]) = 0 s1 = 8506207, s2 = 7999750, d1 = 53, d2 = 51 Dl.O(d1) = 142608660,129238715,259633796,270363003,39523894,30913412,30913411,39523892,38134708,29568544,22222091,16089436,11174670,7414005,7414002,11174660,16089415,16481093,21283265,15319885,10581308,10581309,10581311,6980380,4385906,2627382,254332407,2629573,2628623,2628624,1518386,1518387,2629583,1518326,860848,485929,485930,860851,859738,485374,485373,859733,859741,859742,1516411,860514,860513,1516577,1516578,1517781,860691,485843,273266,273265,485838,860682,860355,485670,273176,273175,485665,860343,1516524,1516548,2626881,2629046,2628750,2628751,2627583,267763839,485547,485549,860064,860358,860359,860449,1517665,1517664,2628637,4387786,6979817,6979816,255027903,6983113,254728739,10580698,10586609,10580757,10580758,10581176,6980256,4385807,4385808,6980259,10581180,6980315,4385848,2627339,2627338,4385844,2629690,2629691,4389133,6980091,6979139,6979140,6979268,6980139,6978950,4384840,4384841,4385786,2627294,2627292,4384833,6978946,6979338,4385092,4385095,4386133,4386132,6980203,4385763,2627281,2627280,4385759,5597204,3473730,3473731,4385553,6979882,10580036,10585656,10585654,15318008,10579922,6979286,4385057,4385056,6979281,4385816,4385815,254728453,255822943,256312052 Dl.O(d2) = 268620277,15652592,10834005,254508041,2710446,254508039,7996236,7996235,5094147,3091873,1806353,1572717,894200,504476,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177970,177968,321900,575141,504639,504640,894498,1573181,1027058,578681,323683,178826,254088123,578675,1027045,254379249,7988062,7964282,7964281,7954150,7950596,5056626,5056625,6873233,6873234,10424930,7950125,5056224,5056226,7950131,5079525,5079527,7981145,7987777,7956776,7956775,7954995,7954997,11881328,7976337,5075860,5075861,7949788,11881407,7972192,5072828,3075853,1794546,1780788,1015455,1015456,1780789,3055729,5045238,7934576,254242550,11895443,7982333,7982335,11928985,11893182,7952544,5058001,5058003,7952548,254178572,7788806,11680560,16722183,18822049,13409231,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5093950,5083172,3082997,3082996,5083168,7986916,11934410,10438401,6881308,6881307,7962942,5065670,3069817,3069815,5065660,7962914,7958648,7958647,11900333,11933303,11933302,17017301,12361682,12361683,17527925,17010362,17010360,16986548,11901182,7959339,7959338,11901178,16986544,23249874,23233986,16961396,16961395,23233984,23242214,24155808,23299572,17039487,17039488,16138869,16138872,11877812,11877811,11676879,7785522,4935544,4935547,5044005,3054476,1779766,1779765,3054471,5043993,7933290,11672960,7781981,4932449,4932447,5079878,5079877,5081198,5081201,3081853,3081855,5081249,7983805,9168753,8991820,8991818,7635781,4830704,4830702,7635774,8991997,11935001,15715302,13190128,11923898,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790322,11682608,11908652,11867053,11867052,15654272,10835394,10835395,15654274,21694465,23247405,16982411,13988399,9609557,9609559,13988403,17527729,17527730,23268774,17005342,17005343,21693945,21693946,23244162,23244163,17010684,11924618,11164842,7406171,4679115,2818997,1635458,930024,524220,524219,930020,267766188,4679083,7406091,11164724,7946729,7946728,7115860,7115861,10769865,11883245,16965865,11877710,7944516,5052440,3061001,1784379,1784378,3060998,5052435,7944506,11883260,16392983,11409257,7958678,7958476,7958475,5062315,3067177,3067182,5053535,3061536,1784618,1784619,3061539,5053544,7946509,11684643,7791765,4940290,4940289,7791764,7946610,254256878,15716429,10879638,7192915,4531427,2723889,1578457,897462,506367,506368,897464,1578461,2723897,4531443,7192943,10879689,12361598,8352496,8352497,11872223,8353252,8353253,254403225,1950518,1950522,3315759,5392249,7971288,5390740,3314864,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,104023,57196,57193,104008,190467,347356,625131,1113932,267844669,17526197,257683102,17253955,17253954,21470236,21470237,18579350,17870606,255592177,18869996,18869997,15577095,10775228,7119505,4482580,3669133,3669134,5876466,9001169,13203592,18579532,25132753,26161125,30039291,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,16784863,15634069,10819069,7150196,7150199,255047977,21670840,254934240,24132991,17769430,12574945,8528658,5526941,3413117,3413119,5526947,8528670,12574966,11988860,11988862,13617402,9559071,9559072,11306544,16262228,258141187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6644225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6644225, s2 = 14249063, int(edited[s2]) = 0 s1 = 6644225, s2 = 14249063, d1 = 32, d2 = 35 Dl.O(d1) = 256889067,58818793,71547147,71547148 Dl.O(d2) = 119961325,261602336,259249468,33210433,42170195,42467103,35016593,26935240,20049041,20049040,26935238,35016590,38761899,257561773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6644225, s2 = 14249063, dlinesl.size( ) = 32 s1 = 10135565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135565, s2 = 15906290, int(edited[s2]) = 0 s1 = 10135565, s2 = 15906290, d1 = 34, d2 = 29 Dl.O(d1) = 73005728,86603032,100564522,86603034,86603033,100564524,271358153,100564548,86603076,73005745,73005714,60271033,48879249,38960623,30375568,22974338,16737822,16737821,22974337,30375567,38960621,268324044,39185186,39185187,40429665,40429664,50467581,61963386,61963332,50467509,50467513,50073087,40053337,31372346,23877060,17532261,17532260,23877054,31372335,40053324,40053360,40053359,50073120,47408345,37500817,37500819,46868702,46868701,58236398,61424088,268324046,39928724,31735486,31735485,39197258,47408290,39293321,39293320,49219949,58751910,47365858,268324052,36859474,36859473,268324054,59331319,61766295,60560610,58111378,58111377,58111365,58082881,46711393,36828963,28332775,28332774,36828960,46711389,36859647,31372356,24015350,24015351,31516625,36759484,46645160,46741292,50073132,47408353,37500825,28957875,28957876,36859650,46741269,58111346,58266718,70826362,58111246,46741127,46741128,58111251,59537094,49748649,49748647,46741374,46586883,46586884,57963468,47939539,38025755,29463585,22128757,16013867,16013868,22128760,29463590,37022794,267959194,15334496,15334497,21303319,28525011,37022802,38245004,38245003,48153805,39729795,36859755,36859757,46741351,39752320,31074773,23591440,17279499,17279498,23591435,31074763,39752393,31735247,31735248,33097223,33097224,36987919,28491025,21274526,21274527,28491028,28957829,37500755,47408257,39729680,31051051,23566964,23441079,17167344,17167347,18780923,15497572,15497571,21505700,25363567,25363568,33097125,37449851,37449852,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567027,31051121,32134195,32134194,37298341,28765363,21505437,21505435,23567099,31051199,39729809,47205300,37298512,28765570,21505636,21505637,28765572,37298129,28765272,21505361,21505362,28765274,23567131,17255737,17255738,21505629,21505628,21506305,15498106,15497764,15497766,21505448,21505446,255469719,11286309,11286310,16234351,254818388,16385211,22565257,21505458,15497410,10717521,10717520,15497408,21505452,28765379,21505482,21505481,28765415,37298373,42716424,255526338,19220908,13730083,9405747,6162354,3855805,2310095,1340221,765452,765451,1340215,2310085,3855777,6162297,9405644,10021033,10021034,9057913,9057911,13272984,18664612,17751232,16794709,11742961,7840225,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384526,6603328,6603331,5587565,3466540,3466543,5587575,8599070,12663530,17879842,14925329,10263265,6744115,6744114,10263259,10575408,6975734,6744222,4225985,2526872,1456321,824570,465657,262116,145300,145301,262119,465669,824600,1456376,2526981,4226195,6743781,6743784,10262622,14924370,16295973,11338205,9083948,6533346,6533345,9940315,6533368,6533373,9940379,14216604,19843903,14609339,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231547,2571550,1480483,1480484,2571553,4301120,4240220,4240222,6765906,10292003,10884456,15721062,14939752,14939753,14959003,20860548,28027848,30463892,23055631,16809103,16809104,254156116,35067143,28903528,21629109,21629108,26983264,26983265,28083911,28083912,28102402,20926402,15018462,15018461,20926406,23760785,23760784,28896167,31245354,25422975,18830091,15051965,13730081,9405744,6162352,6162353 Dl.O(d2) = 25439609,22319650,16174710,16174711,16176691,15578695,15578694,11243336,7463015,4716106,4716107,7463018,7121924,4716163,4716164,7463090,11243430,13425547,11246825,7465522,4717742,2842157,1648699,1648698,2842154,4717735,7463120,254354002,13425445,18843453,13425577,13425578,15581635,10778679,10778681,13425214,9178909,6007713,3757442,3757443,6007715,254529996,11246732,9179174,9179173,254100132,13425140,9178850,9178849,13425138,18843179,25439559,18843364,18843363,25439691,23200259,16931024,16931023,23200257,29602441,255084458,11193847,7427405,7427404,11193844,15235084,12035090,8090791,5183524,3162481,1851280,1056520,1056518,1851274,3162465,5183494,8090739,12035002,17125481,22244227,22244226,17683663,17683654,16114758,16114759,15366688,10617402,10617401,8091119,8091118,12035482,16106529,17571051,12399119,8379412,5407649,3324423,1955270,1955271,3324429,5407669,7269717,10982756,15847507,17554154,12383679,12383678,17554152,23731780,23731782,18935842,268026609,9236533,11887453,11887452,16974705,20971221,18954338,13517757,12268889,12268891,9988039,9988038,14515357,12401673,12259167,8279246,8279248,12259185,17395947,23719795,254727644,49906699,61387130,74167738,72334947,59599698,48212272,38302275,29734507,22376915,16220902,267891620,29734504,38302273,35226544,27132518,27132519,29628518,29628519,23088019,23088020,268025002,24886901,18387577,18387578,22347555,16197594,16197595,22347557,23030624,16787933,11738340,7837124,7837125,7470537,7470534,11253856,16189871,15078637,10400468,6855947,4302670,4302669,6855945,10400464,11738515,7837245,4974860,3004915,1745206,1745205,3004913,4974856,6855864,6855865,4727405,2848255,2848254,4727404,6855901,10400396,15078528,16223657,15078522,10400392,10400391,15078521,16190162,16190163,20992157,22380480,16223664,11278125,7486559,4731100,4731097,254086572,2846198,4723825,7474555,11259279,16196786,16196787,22346488,22346489,22346494,16197238,11259343,11259344,11738338,11259605,7474763,7474761,11259600,16197666,15020505,254212898,6813294,10348063,11441891,254625211,5683644,6473011,9854219,255737583,16434809,11449988,7615381,4818233,4818234,4819274,7595977,4804870,2895863,1680446,955851,538839,538842,955896,1680536,2896027,4805141,7596388,11054265,7329717,4630291,4630290,2948894,1710196,972030,547410,306535,169624,93372,51552,51553,93377,169639,306567,547484,972190,1710536,2949510,4894241,2957968,1715158,974534,548610,548611,974538,1715162,2957973,4907462,7748855,11631460,16401046,22583576,16430361,11445483,7727137,4891046,4891045,7727134,11114374,11114373,11555011,7688829,7688830,4896022,2950639,2947403,1709364,1709365,2947407,4891034,7727118,11430853,11430150,7598853,4806985,2897140,1710382,972113,547446,547448,972118,1710391,2949258,2898634,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,7616507,4819015,2947495,1709411,1709414,2947504,4891173,7727292,7731624,4894568,4894570,7731631,9955666,6543260,6543262,4803968,2947864,2947861,4273731,6813686,10348566,9954883,6542653,4098994,2452038,2452039,2899207,2899209,4810460,6936421,4358716,2611525,2611526,4358677,3535929,2104627,2104630,3535876,5684159,8731023,12839297,18106881,24540733,32118379,257127255,62656952,75599708,89361425,103457099,117587529,115850627,101804272,87830192,257998350,61445515,49967563,39950785,31275833,23790112,255360322,39950780,257062657,61445699,70819469,70819468,269788712,98287517,112269327,271311610,114746474,100697562,86722356,73116864,60376788,48979958,39057389,30467081,23058217,16811063,11755617,7849054,4982382,3009781,1748294,994117,559677,313379,173339,173341,313390,559709,994183,1748415,3010008,4982784,7849747,7849494,6008178,6008182,9179617,12709385,13144222,11754002,10930861,10930858,15222480,21184067,16670125,15618450,15618447,11755932,11755931,16811495,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,13704106,19188496,16811996,13457750,11756988,11756989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135565, s2 = 15906290, dlinesl.size( ) = 2 s1 = 10135565, s2 = 15906290, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10135565, Dl.E( ) = 40, 1.38e-05 seconds used appending s1 = 8496184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9693116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9693116, s2 = 2516600, int(edited[s2]) = 0 s1 = 9693116, s2 = 2516600, d1 = 1, d2 = 1 Dl.O(d1) = 254745587,4520199,2716912,2716913,4520200,7175701,10853618,15677516,21721973,29008210,37554091,47461523,58846615,71573478 Dl.O(d2) = 254745587,4520199,2716912,2716913,4520200,7175701,10853618,15677516,21721973,29008210,37554091,47461523,58846615,71573478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9693116, s2 = 2516600, dlinesl.size( ) = 2 s1 = 9693116, s2 = 2516600, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9693116, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 13317517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13317517, s2 = 15538828, int(edited[s2]) = 0 s1 = 13317517, s2 = 15538828, d1 = 8, d2 = 1 Dl.O(d1) = 58675565,62611006,64574570,58847326,47462332,37554798,37554799,37850937,37850936,47773987,59172834,71409630,84983584,71409628,58675517,58675516,58847429,53025465,42585712,33568837,25778843,19137730,19137731,25778845,33568843,42585720,53025473,65000142,71574159,58847546,58063221,58063222,70780837,67568070,67568071,75549128,81086189,81080176,67612799,55271950,55271952,47637742,37715328,29154688,29154689,37715330,47637747,59039723,59210824,47812478,47812477,47462521,256350239,29008951,37555025,47462518,58847489,71574112,85144228,99069033,109854345,95651176,258878196,68128704 Dl.O(d2) = 81618309,81618308,68128701,257646820,35397316,27270658,26594061,19788672,19788673,268398120,38796954,30212748,30212747,26964113,26964114,24121012,20282147,20282149,15823282,10965464,10965462,10964552,7257678,7257677,10964548,15821724,21901192,28958218,21676823,17897915,15638053,10821578,7151753,7151754,10821583,14552720,14552722,20282001,23186919,20246183,20246185,27157823,23020618,16780238,16780235,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576994,7257267,10963803,15820463,21899485,17933481,17933483,24320513,22619704,16435041,16435040,22619703,29987108,30606417,23187234,16920963,11842172,7914171,7914172,11842175,15823719,15823720,21903875,23282596,23282594,22106499,15995278,15995277,19801524,26609222,34596310,43866725,54609496,66867494,63631004,51839982,41555857,255884098,24990205,18467326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13317517, s2 = 15538828, dlinesl.size( ) = 2 s1 = 13317517, s2 = 15538828, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13317517, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 2516826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2171221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2517445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2187170, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14087981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2171935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2518251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2518479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2518479, s2 = 6559709, int(edited[s2]) = 0 s1 = 2518479, s2 = 6559709, d1 = 11, d2 = 13 Dl.O(d1) = 71632872 Dl.O(d2) = 255963845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2518479, s2 = 6559709, dlinesl.size( ) = 2 s1 = 2518479, s2 = 6559709, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2518479, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 6644809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8835688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8835688, s2 = 6594526, int(edited[s2]) = 0 s1 = 8835688, s2 = 6594526, d1 = 25, d2 = 7 Dl.O(d1) = 265425276,274405952,265184540,215656249,211593930,265185984,71636580 Dl.O(d2) = 256355083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8835688, s2 = 6594526, dlinesl.size( ) = 20 s1 = 11657964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657964, s2 = 8014448, int(edited[s2]) = 0 s1 = 11657964, s2 = 8014448, d1 = 33, d2 = 5 Dl.O(d1) = 15040633,15040634,12672904,8606295,8606294,12672902,17891333,16831669,16831670,16831658,16831659,13656888,13656887,19127166,25766841,33556387,31624644,24119234,17758183,12566094,12566095,14211807,9770004,6423709,6423708,5553912,5553911,8537832,8537833,12585444,17758181,17715425,12532123,8493434,8493432,8482570,254409657,3374363,254413949,8523859,12569556,17715685,268002357,5494969,5494967,8493878,12532388,17715682,24072049,31577794,24091601,17733908,12547209,12547208,17733905,24091598,31595059,40279318,31595056,24091591,24091592,17733903,17733904,22947406,16710947,16710948,268418259,38934557,48853836,60246553,67546113,55202336,55202335,50414689,40380326,40380328,50414692,61905071,73561621,268676008,49415758,59501068,48113025,48113024,54627561,43885235,43885236,54627563,66885059,80314120,73561618,73561619,80314118,66885058,66885057,80314117,94370210,270321977,48113030,269339703,270321975,99782104,86081273,72483950,71650295,269359132,37639619,256897651,58928264,61766023,50286140,50286138,61766021,72668555,72668554,86268836,100234145,114266335,102156631,102156629,88165240,88165241,102156630 Dl.O(d2) = 57647663,70338184,83863377,83863327,70338138,57647639,57647640,70338143,70692815,70692757,57974868,46597880,36709981,36709982,46597883,57974875,70692769,84244709,98135130,84240777,70688553,70688554,83863194,97721865,105734541,91510602,77579742,77579741,91510599,105734537,119969631,112097114,112097113,125930472,113608867,113608868,126319267,112453008,98462599,84540368,255802280,111642790,97722106,83863408,70338215,57870114,57870113,70571829,73425429,60677369,49276235,39349647,30749622,30749621,39349644,49276234,255012516,87043249,101039264,115113592,129040976,140883136,127527478,119967760,105732432,105732433,112097104,98138038,98138039,91507144,91507143,105731365,112097320,125930620,134029615,134029616,127735204,113862134,99844442,99844443,99844445,99844446,113862140,112097108,98138041,84244334,70692295,70692296,84244339,91513392,91513391,98139814,112098839,109395813,95141699,84244676,70692747,70692748,84244680,98138333,98135453,84241242,84241241,97721880,84244348,70692305,57974387,46597485,46597484,57647650,57647649,70338159,83863347,89442762,255375054,102069457,88082938,88082937,89442758,89442748,75679764,75679765,89442750,98139824,87043349,255374996,72106217,72106218,85692145,85692195,87043353,73425534,60677484,60677485,72106348,84246119,72106158,72106157,81180380,81180381,70691713,59373752,59373751,72106228,59373721,47983796,47983795,59373719,72106221,81180426,67715294,67715295,81180428,72106321,72106320,84243772,81180412,81180411,95235868,85692105,72106164,59373666,59373665,64413669,52539565,42181023,42181024,52539571,55375794,44529562,35153357,35153356,44529559,47983813,59373740,47983834,38071751,29508038,29508037,38071747,47983826,57976137,46598995,36710819,36710822,46599004,57976147,60231961,70691691,57973811,57973810,70691678,84243788,72254756,67715369,55375587,55375586,67715365,81180487,73425525,256290734,49276360,60677474,67715424,81180523,95235937,84243860,70691771,57973897,57973898,70691774,59373813,255012528,36887515,28390711,21171599,21171598,28390707,36887508,46765734,58133528,70847851,84243827,70691738,57973856,57973857,70691741,84243830,70847859,70847860,67715683,55375861,55375860,67715679,67715765,55376007,44529723,44529725,55376010,67715840,81180300,81180299,87661216,74057329,74057330,67715151,58878740,47498716,37594525,29046778,22351032,22351031,20172972,20172970,27067522,35153233,44529348,55375466,67715205,81180351,67715516,55375705,44529505,44529506,55375708,67715522,81180616,81180748,81180788,95236116,85164691,71599290,58878724,47498705,37594518,37594519,47498707,58878729,71599295,73426020,73426019,72871279,72871278,71069039,71069032,71069031,73426000,60678009,60678007,60678013,60678014,49276985,39350299,39350298,49276912,49276911,60678028,73426015,87043735,73426701,73426703,73426685,60678866,49277785,49277786,55375710,55375711,57976719,46599576,46599573,49277072,39350367,39350368,49277075,60678188,73426150,81180757,73426053,73426050,60678087,60678041,49276922,39350252,39350251,46599612,255802394,39350254,39350255,49276609,49276610,58048293,46673401,36787253,36787252,46673396,58048290,70766942,73426157,73425990,60677998,60677996,73425989,87043726,101039609,87044170,73426682,60678855,49277777,49277778,60678857,60678863,49277998,49277999,60679043,73426835,87044270,84386071,70828713,58113696,58113694,70828710,81584262,68094437,60678029,53824415,53824416,49276006,39349408,30749418,23327745,17061754,11970313,11970312,17061752,23327742,30749416,39349407,30749872,23328114,23328115,30749424,30751143,30750194,23328359,17062129,11970535,8014483,5102944,5102945,8014486,11970538,255530899,17061898,23327967,30749430,30750949,39351212,49276315,39351185,30750929,30750927,39351181,49277889,39351170,39349486,30749496,23327804,17061798,17061799,17062185,11970559,8014494,5102948,5102949,8014500,11970568,11970739,17062451,17062594,17062595,17062160,17062162,23328415,30750354,23328593,17062273,11970623,8014538,8014539,8014606,8014605,11970730,17062432,23328874,30749469,23329089,23329090,30751155,30750888,30749583,23327869,17061842,11970359,8014380,8014379,11970355,17061834,23327861,30749573,23327905,17061865,11970371,11970370,17061859,23327902,30749639,30750613,30750609,39350797,39456198,39349501,30749513,30749514,30749506,30749507,256840804,23421597,17144702,12049150,12049149,17144700,23421594,23421525,17144655,17144656,23421530,30852124,39456189,49384163,49277956,49277957,60679008,59451947,57962376,46585801,36699124,30750248,23328334,17062115,255530927,256479905,39350489,39456376,39456275,30852176,30852175,23421591,268202950,8100623,8100619,12049140,17144682,23421568,23421559,23421561,30852173,39456271,49384289,59451980,255374896,48060788,46710897,36828456,36828455,46710895,58082429,57870008,46513790,46513791,36646295,36646294,46513827,46591518,36704679,28213477,28213479,36704681,46591521,46513754,36646242,36646243,46513756,49384390,39456346,30852224,23421589,23421588,30852222,256353444,46513759,57869991,60346436,57870165,46513972,36699072,36699071,36646393,36646392,46513952,57870151,70571873,59451959,59451960,60678268,70571795,57870052,46513846,36646310,28170781,28170780,36646305,36646344,36646342,46513881,46513781,36646261,36646260,36699087,36646277,28170759,20990037,15076739,15076740,20990040,28170763,28170847,20990099,15076771,10399133,6855118,4302158,2572240,2572239,4302156,6855114,10399126,15076758,10410097,6862131,6862130,10410094,15093789,21015408,28208256,36699138,46514022,36646453,36646454,256839096,46513904,36646360,36646359,28170831,21015415,15093793,15093794,20990077,28170815,36646358,257405425,70571770,70571771,70571766,70571768,57870103,46513920,46513919,57870100,70571823,60567908,49168845,49168846,255811456,46901796,37024087,37024088,46901798,46513816,46513817,57870030,70571790,73070500,73070499,81196038,70825443,70825442,71286709,71286706,71286708,59338697,256289914,39007984,44501226,55347521,44501177,44501178,55347524,47908732,47908730,59303509,59303521,47908745,37992578,29430430,22098851,22098852,29430432,37992585,47908759,59303536,59303699,48741340,38821276,38821274,47947148,47909011,37992858,29430687,22099050,15989807,15989805,22099043,29430675,37992847,257503545,59338692,59338766,47947071,38033292,38033291,47908894,47908780,37992604,29430442,22098855,22098857,29430360,29430359,29430773,29430473,29430472,37992650,47908825,37992793,37992794,40492093,37992900,31582267,24076621,24076622,30355008,37992573,39269074,39269073,46721396,255952488,47908774,37992597,29430560,22098941,255885767,31522012,29430465,29430349,29430348,28722823,28722822,29430353,256383388,34299488,34299489,37253709,28722804,28722803,255840398,30752225,256332184,37253753,28722847,28722848,37253755,29470551,29470552,37992768,29430602,22098986,22098987,28722830,21466610,15465591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657964, s2 = 8014448, dlinesl.size( ) = 2 s1 = 11657964, s2 = 8014448, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657964, Dl.E( ) = 34, 2.6e-05 seconds used appending s1 = 9427784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8294585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9069252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 443081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6752507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9384198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9384198, s2 = 6624882, int(edited[s2]) = 0 s1 = 9384198, s2 = 6624882, d1 = 0, d2 = 0 Dl.O(d1) = 157708916,261863934,118237772,104077616,89947414,76141013,63134995,51437237,41239341,32414168,24789098,18306637,12994908,8846967,8846969,12994917,18306656,24789122,32414193,29568423,22221989,22221990,25470183,255472672,50127260,47121176,37223488,28697784,28697787,21509379,15500300,15500299,21509374,22437308,22437307,24170063,22108744,22108743,29442328,25895426,25895428,33701521,31712527,31712529,268030284,34082173,30239435,30239436,31758665,24246859,17870133,12654751,8591797,8591798,12654754,17870141,24246871,25895585,25895586,24246752,18580441,13204109,9001277,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,28954119,37496792,41759178,52072327,49131123,42609946,42609947,38620561,37022143,37022142,30802440,28808068,28808069,25736357,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484568,11275123,16219542,22375330,29523920,29523918,38087857,43063354,37888914,29320612,28951126,21671224,21118793,21118795,22035466,21991765,15894203,11018358,11018359,15894206,21991770,29320606,25752589,23703114,23703112,31192504,39874367,40281006,31596869,24093331,17735456,12548536,8507761,8507759,10819173,7150255,4502814,4502817,7150261,9415646,6169092,3860120,2312486,254082796,766158,1341564,1362558,1341716,1341720,1362538,776575,776572,1362517,2352071,3928819,6274720,9562444,254302984,19466379,26166893,34008586,43066336,53545374,58938886,256661110,256356773,21804479,15743710,15743714,15154033,15154032,21096930,22687599,22599747,16416458,16416459,22599752,29964447,29964483,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809492,32444131,32444202,41283525,40010321,40010319 Dl.O(d2) = 157708916,261863934,118237772,104077616,89947414,76141013,63134995,51437237,41239341,32414168,24789098,18306637,12994908,8846967,8846969,12994917,18306656,24789122,32414193,29568423,22221989,22221990,25470183,255472672,50127260,47121176,37223488,28697784,28697787,21509379,15500300,15500299,21509374,22437308,22437307,24170063,22108744,22108743,29442328,25895426,25895428,33701521,31712527,31712529,268030284,34082173,30239435,30239436,31758665,24246859,17870133,12654751,8591797,8591798,12654754,17870141,24246871,25895585,25895586,24246752,18580441,13204109,9001277,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,28954119,37496792,41759178,52072327,49131123,42609946,42609947,38620561,37022143,37022142,30802440,28808068,28808069,25736357,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484568,11275123,16219542,22375330,29523920,29523918,38087857,43063354,37888914,29320612,28951126,21671224,21118793,21118795,22035466,21991765,15894203,11018358,11018359,15894206,21991770,29320606,25752589,23703114,23703112,31192504,39874367,40281006,31596869,24093331,17735456,12548536,8507761,8507759,10819173,7150255,4502814,4502817,7150261,9415646,6169092,3860120,2312486,254082796,766158,1341564,1362558,1341716,1341720,1362538,776575,776572,1362517,2352071,3928819,6274720,9562444,254302984,19466379,26166893,34008586,43066336,53545374,58938886,256661110,256356773,21804479,15743710,15743714,15154033,15154032,21096930,22687599,22599747,16416458,16416459,22599752,29964447,29964483,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809492,32444131,32444202,41283525,40010321,40010319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9384198, s2 = 6624882, dlinesl.size( ) = 2 s1 = 9384198, s2 = 6624882, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9384198, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6806080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6806080, s2 = 6445166, int(edited[s2]) = 0 s1 = 6806080, s2 = 6445166, d1 = 9, d2 = 13 Dl.O(d1) = 258713895 Dl.O(d2) = 37697428,258090083,256899963,29136692,21829376,15761277,10915542,254512317,2734228,2734231,4548464,7219081,254527160,255081752,258713897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6806080, s2 = 6445166, dlinesl.size( ) = 2 s1 = 6806080, s2 = 6445166, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6806080, Dl.E( ) = 14, 2.5e-05 seconds used appending s1 = 14162492, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2175303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8126217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2176343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2176343, s2 = 7073954, int(edited[s2]) = 0 s1 = 2176343, s2 = 7073954, d1 = 0, d2 = 28 Dl.O(d1) = 59039899 Dl.O(d2) = 262203949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 6806299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6806299, s2 = 11372346, int(edited[s2]) = 0 s1 = 6806299, s2 = 11372346, d1 = 88, d2 = 32 Dl.O(d1) = 258715535,270310761,59043637,257842827,43008672,257842825 Dl.O(d2) = 212618840,210401826,205182465,205182466,210401827,214666601,218172336,216534833,212618841,207825923,202010726,195095890,187013575,262806871,167238577,167238576,262806869,155607785,143058474,129727891,115828893,101782796,87810592,269870303,61428916,258875027,101782798,115828897,129727897,140768661,261704081,140768663,140768664,140768665,140768662,127412854,113542379,99530953,85584001,71997179,71997178,85584000,259977629,85583998,71997177,71997176,259131920,59268758,47873018,37954548,37954549,33564606,25775176,25775177,33564608,37934976,29368500,22037725,15935672,15935674,21976871,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,11008249,15880195,11008232,11008230,15880192,255877101,22344373,19852352,268043419,6428816,6428818,9777672,14222762,18157120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6806299, s2 = 11372346, dlinesl.size( ) = 2 s1 = 6806299, s2 = 11372346, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6806299, Dl.E( ) = 102, 2.72e-05 seconds used appending s1 = 8082545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9414653, s2 = 14164041, int(edited[s2]) = 0 s1 = 9414653, s2 = 14164041, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 190160699,181351089,171321944,160094965,147840610,262002411,171321940,171321947,160094967,147840611,272723517,134714506,260904170,106662930,99961031,86002340,72406158,59670838,48283533,38372723,29800689,22434315,16266506,254779043,7508570,11309536,16266504,255822614,254728310,9844375,13640635,9340820,6118399,6118400,9340822,13640638,19105011,21156482,22888637,16659828,16659829,19126324,21597457,15569848,10769387,7115493,7115492,10769384,15569842,21597453,25794557,25810078,25656734,19038243,13590020,9305300,6095378,6095379,9305304,11474537,7632123,4828567,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304339,9304340,255678143,25704202,22433207,16265491,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660274,29798874,255592164,24523704,18092447,18092448,18217760,24684269,32295245,41105680,33418315,25650376,25650375,33418312,38370466,29797766,22431218,22431217,29797764,268627996,30569395,23151987,23151986,30569394,39167291,40448940,256106985,18581851,18581850,25135679,32840701,39727367,42464975,42378521,33390081,25624593,19009951,13567539,9289322,6085273,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,24241854,19144283,19144282,24241866,24241821,17865959,17865958,14493620,14493621,14493617,12668265,12668264,17315454,12190760,8220920,8220922,12190765,14488421,9968753,8591643,5582560,3463674,3463675,5582565,8591652,12654482,14554776,14554775,17871658,12655825,8592443,8592444,12655827,17871663,24248758,31373235,23877761,17532755,17532756,21763594,29059031,24434503,18020951,12772734,12772735,18020947,24434496,31989745,31758204,31758205,31989756,255665654,50844613,62428371,74777490,61981218,268492942,33329087,33329086,25568873,18958872,18958873,17158047,15262124,15262126,11278893,7487002,4731388,4731387,4366276,2616271,2616272,4366281,4380713,5771237,3595082,2143809,1238351,1238352,2143815,1512372,857464,484134,484137,857475,1512398,2619788,4373244,6960534,6960521,6960522,10553570,15288210,17154434,12057877,9941480,8103953,8103954,8112391,8112390,12064689,9243399,6053922,3788334,2269631,1316830,1316828,2270411,3789864,6056781,5196333,3170447,1856112,1059364,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794890,5412220,8387172,9256185,9256188,11936004,16896826,21130459,17471161,12317483,8319947,8319946,12317477,17471148,15059173,12393502,12379503,12379504,13794493,19294027,20970393,20970375,15060581,10385692,10385694,10385563,6844425,6844427,10385566,15060413,20970456,28148765,36622585,46489152,57845228,70547201,84084255,95595527,84389258,258653098,58117596,46748988,36869653,28372801,21155553,21155552,15199925,15199924,15199928,10483721,6911932,4340968,2598834,1499249,1499250,2598839,4340979,6911950,10483756,11062305,7334926,4633366,2791155,2791153,4633352,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,4634506,4634510,4638873,2794114,1620694,921658,519606,519605,921650,1620677,2794085,4638761,7342573,4637749,2793521,1620392,921519,921518,1620386,2793507,4637728,6025687,4640885,2795227,1621306,1621307,2795234,4640905,4633403,2791171,2791170,4633394,7334988,7335112,11062596,9204041,7346690,7346689,7347870,4640949,2795258,1621318,1621317,1621110,921852,921853,1621114,1619580,921212,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920920,1619144,2791016,4633056,7334320,11061272,15940434,11070109,7340305,7340304,11063846,12022531,12022533,17108436,15966386,11081990,7348444,4641306,4641307,4641165,2795366,1621378,921964,921965,1621384,2795385,4641196,7348264,7387795,4667264,4667266,7387799,11080170,7347199,4640487,4640488,7347205,11067987,15949055,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955375,15965051,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494016,15943693,15943626,11063779,11060961,11060960,15935781,22037894,22038071,15935936,15935939,15936097,15936093,15947198,15947199,15966787,11082282,7348627,4641421,4641420,7348625,11082273,15966762,14200543,14200544,19824325,22064863,15960189,15960191,22064802,15960150,11076958,11076955,15960137,256379343,47796150,47796149,37962310,29397944,29377188,22046632,22046630,29377180,33296124,29733410,22375955,22375956,29301727,21974437,15880257,11008263,11008262,15880253,21974428,18928986,18928985,22271841,29623196,22274084,16131912,16131913,22274090,29625405,38192093,33304579,25542819,18930100,254925249,9232699,13495194,15940298,11061181,7334272,7334273,11061197,15940329,22043198,22037664,255725196,29396501,22272273,16130465,254680440,26704439,26704441,21974490,15880293,15880292,21974487,27128638,25275514,25275513,20223651,18925670,13492114,13492113,18925668,25537473,26610991,19803090,19803089,14184933,13489688,9229268,6044625,3782124,3782125,6044629,6045083,3782393,3782394,6045091,9230094,13491059,13491385,13491384,18842880,13424897,9178690,6007561,6007562,9178697,13424917,13966526,9778444,9778445,13424943,18842923,25439257,33184505,42143905,52502251,64376201,77544583,91476096,105700744,119936359,133804467,133804468,147051465,159429900,170772378,260375472,197457710,203983469,205322307,205322306,210508584,214746341,273824126,210508586,210508587,214746349,218234021,217595421,217595422,218234012,264410760,223254717,223254718,225504088,225504093,225904673,223738888,223673515,221164221,218234008,214746342,214746341,273824126,214746345,218234015,221164233,220653462,217595433,263786804,221239566,218322072,218322073,218322074,214851289,210634125,205472514,199233345,191859374,191859373,191859376,191859378,183286275,173480281,162438320,150302687,150302686,162438317,150302685,137262252,137262251,123531423,109339823,95085442,95085441,81026794,67557234,55213441,44362261,34984293,26904023,20021097,20021095,20021096,26904021,268262251,12596231,8547248,5545635,5545634,8547246,8547244,8547243,12596229,12524792,8486585,5487468,3378226,3378227,5487467,8486583,12524790,11816541,8573230,8485880,8485881,12523967,268260287,40253475,37728194,255866643,21858846,29168112,37728196,47650039,59051191,53833981,255122160,255949286,71792423,59051188,59051189,71792424,80380445,94438785,108730801,108730802,108730804,122998257,128807642,255457078,86879685,73267867,60522922,49121896,39194297,30597231,30549570,30549569,38314623,38134365,29568192,22221780,16089223,11174520,7413909,4684779,4684780,7413911,11174523,16089228,22221771,22221770,29568177,31977439,267790018,30597219,30597218,39194280,41216098,32393122,32393121,41216094,49077105,39147383,39147384,49077106,39194271,38134390,29568216,22221796,16089233,16089234,22221799,24770592,18291728,12983300,12983301,18291731,16228258,16228259,22386602,29745926,38314619,32393084,24770588,24770589,29745916,29745917,32393179,32393178,41216161,51412442,51412135,41215877,41215878,41215990,32393056,24770583,18291720,12983297,12983296,18291717,24770577,32393063,41216000,51412289,59435827,59435828,71950637,71950638,256391022,84976774,85538881,257497374,59188551,47788402,37863901,29294618,21967792,15873936,15873937,21967795,29294625,37863916,47788423,59188584,71928215,85515795,98666174,84736788,71166810,58444438,58444439,70475703,84009322,89172319,75424751,71166780,71166779,71166769,58444403,47068009,255376862,37923320,37923319,40765532,255804198,18032448,12781959,8689056,5654910,5654911,8689058,12781963,12781938,8689046,5654906,3516279,2091231,2091230,3516276,5654902,8689037,12781924,18032391,24449478,32009592,32009589,32009590,32009686,24469373,24469372,32031641,40788505,50881354,55420065,44572998,44572997,40781224,32024917,24463128,268961930,5660025,3520057,2093964,2093965,3520059,5660028,8695963,12790972,9590179,6295640,3943528,3943527,6295638,9379825,6144723,3844940,3844926,3844925,6144709,5660021,5660022,5660020,5660019,8695951,12790956,255169439,12286849,9319114,9319115,12286848,8297701,8297700,12286846,17432316,23759855,25687826,19063906,13609642,13609643,13594632,9308690,6097700,6097701,9308692,13594635,16471891,11476699,7633355,254789535,16471896,22667254,22667284,16471931,16471930,16472326,11477060,11477059,16472324,255487063,16472111,11477012,11477013,16472285,16472318,16472317,22667357,30042715,25434422,18839356,13422538,13422539,16471621,11476525,11476526,16471623,22666928,22667004,16471683,11476558,11476544,11476545,10414108,10414107,15099908,21023868,28218947,28218946,30043144,26670173,26670174,33061400,25332309,18752804,18752805,25332312,23296425,23296424,30712945,32696830,41599083,39309802,32401139,24777525,18297369,12987700,12987701,18297374,21002282,23176657,16912191,16912192,23176660,23295645,23295646,30712129,25244402,18674282,18674281,25244398,29773413,268397540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9414653, s2 = 14164041, dlinesl.size( ) = 2 s1 = 9414653, s2 = 14164041, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9414653, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 2573632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2573632, s2 = 3219189, int(edited[s2]) = 0 s1 = 2573632, s2 = 3219189, d1 = 14, d2 = 97 Dl.O(d1) = 72782624,71795061,59054010,59054011,71795063,71795037,59053976,59053977,50009271,39991308,31314590,31314589,39991304,50009264,52030181,41716845,41716844,52030179,59053961,71330661,58597806,58597807,71330667,84095991,70559769,60706712,49304279,39376557,39376559,49304281 Dl.O(d2) = 101129298,87131047,258529886 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1868883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1868883, s2 = 16398263, int(edited[s2]) = 0 s1 = 1868883, s2 = 16398263, d1 = 69, d2 = 104 Dl.O(d1) = 86238797,72636161,59893907,48499828,48499827,59059023,59059022 Dl.O(d2) = 266916901,241095116,274916009,267226103,274936159,243567442,274904718,274850868,241116992,240647038,274835587,238358639,237653467,236877198,236023357,236023356,236877197,237653466,266528748,266745386,266864318,274865768,266864332,241117043,240647080,266745402,240647081,240139893,239592752,239001290,238358648,238358647,239001289,239592751,274729044,238358635,237653460,236877194,236023352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1868883, s2 = 16398263, dlinesl.size( ) = 26 s1 = 2177775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8378722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8378722, s2 = 13745852, int(edited[s2]) = 0 s1 = 8378722, s2 = 13745852, d1 = 20, d2 = 37 Dl.O(d1) = 113340328,99338234,99338235,113340329,127198327,113340330,269510506,59066295,59066296,71806921,74826636,62030124,50538599,50538600,62030125,59341681,47950302,47950301,59341679,256285084,31808067,24293116,24293117 Dl.O(d2) = 125545975,138878801,125545997,125545983,111739682,97817402,83958181,83958182,97817404,111739685,125545987,125545993,111739696,97817409,97817410,111739698,111739699,111739700,125545996,138878810,138878811,138878818,125545990,125545991,138878820,140544147,151581477,151581485,151581469,151581468,163464350,262615469,151581484,138878816,125545989,125545988,138878815,151581482,151581487,138878822,138878823,142599381,129228749,129228750,142599384,155236469,272769432,174311687,163464355,151581479,151581478,163464353,174311690,174311691,174311692,177460685,166921644,166921615,272591997,129228730,129228725,115300690,115300689,129228724,261807811,166921607,177460651,186768252,194874179,201813082,273927686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8378722, s2 = 13745852, dlinesl.size( ) = 16 s1 = 6645655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8295215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8295215, s2 = 1746910, int(edited[s2]) = 0 s1 = 8295215, s2 = 1746910, d1 = 231, d2 = 246 Dl.O(d1) = 59069809,71810629,85399315 Dl.O(d2) = 257920366,57637413,46293034,255753528 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3148598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1823515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1823515, s2 = 3676733, int(edited[s2]) = 0 s1 = 1823515, s2 = 3676733, d1 = 26, d2 = 8 Dl.O(d1) = 47707446,59105602,258721123,71986619 Dl.O(d2) = 127402498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1823515, s2 = 3676733, dlinesl.size( ) = 22 s1 = 13403359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2527362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8183915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6890869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6890869, s2 = 10614909, int(edited[s2]) = 0 s1 = 6890869, s2 = 10614909, d1 = 35, d2 = 57 Dl.O(d1) = 259726514 Dl.O(d2) = 261694521,165108814,175833324,185338166,193630101,200736536,200736533,193630098,193630099,193630100,193630101,200736535,264489611,215736241,219084848,216828478,212962278,212962279,211687305,211687306,212962277,215736243,211687307,206733060,264489611,215736242,212962278,208232417,264002919,187691712,178536866,168176624,156685343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6890869, s2 = 10614909, dlinesl.size( ) = 2 s1 = 6890869, s2 = 10614909, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6890869, Dl.E( ) = 58, 2.91e-05 seconds used appending s1 = 8141267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9459770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10203955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2184730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039451, s2 = 10156892, int(edited[s2]) = 0 s1 = 14039451, s2 = 10156892, d1 = 9, d2 = 2 Dl.O(d1) = 10485973,15202755,21158655,28052304,255217270,46376092,46376093,57726412,59185032,256619498,59999548,48608099,38692643,38692644,41628030,51017356,257530956,18099402,12832997,8726011,5680421,3533363,2102922,1210837,682894,380512,208997,120908,120906,111895,61338,35498,35494,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64466,64435,64437,63988,63990,117391,204014,372454,211421,115678,115680,211428,383953,687879 Dl.O(d2) = 3606673,2152862,2146731,1240716,704383,267758713,254291785,254898307,18334557,256587561,255619789,12917286,254628705,5723080,8755395,12874267,256071619,12999630,254632069,2142240,3592939,254632067,254626911,3547048,3547049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039451, s2 = 10156892, dlinesl.size( ) = 2 s1 = 14039451, s2 = 10156892, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14039451, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 9455400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8282734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6799538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799538, s2 = 3219006, int(edited[s2]) = 0 s1 = 6799538, s2 = 3219006, d1 = 4, d2 = 9 Dl.O(d1) = 99472676,258651800 Dl.O(d2) = 207615493,201770511,194827166,186713770,177397935,166850424,155157346,142512873,129135428,129135427,115203719,115203718,129135427,115203719,101125918,87127789,257569458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799538, s2 = 3219006, dlinesl.size( ) = 2 s1 = 6799538, s2 = 3219006, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6799538, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14162376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162376, s2 = 10155739, int(edited[s2]) = 0 s1 = 14162376, s2 = 10155739, d1 = 24, d2 = 29 Dl.O(d1) = 4652463,4652464,4652510,2802725,2802724,4652505,5190747,3167152,3167154,2835550,2835549,4706995,7449863,7449959,7365650,4706944,2835506,2835507,4653030,6917274,4707016,2835562,1645010,935403,527171,527172,935406,1645016,2835588,4644814,2802967,2802966,4652869,7365505,11105838,12050756,8620222,8620221,5604418,3479820,3479821,4653243,5604411,7365817,255205019,5601856,5601857,3479686,3479687,5604278,8620163,5609203,5609202,8626643,12697879,11227611,7449901,4707032,2835569,2835570,4707035,7449904,11227616,12697896,255596329,12689406,8620013,8619039,5603403,3478995,2064656,2064655,3478985,3479344,3483383,3479708,2065181,2065180,3479702,2068141,1187259,666992,666991,1187252,2068130,3483505,3163099,3163098,2068293,1187377,667056,667058,1187385,2068298,3483691,3479840,3479841,5604447,5601806,3477485,3477486,254617953,5609345,3483721,3483723,5609379,5609402,3483756,2068351,2068350,3483753,5601722,3483538,3479437,3479435,5603976,5609215,5609209,3483560,267803661,1187271,666998,370019,254108605,1187265,2068150,2068390,2065137,1185316,665811,369286,202206,202207,369290,665817,254194409,3479667,3480178,254618271,5604343,3483388,254422853,5606806,3481632,2066615,2066614,3481629,254422891,3477404,2063380,1184217,665195,665194,1184214,2063376,2067975,2068451,1187515,1187507,1187506,1187315,667027,370034,370032,666967,370008,202601,202602,370014,666982,1187236,1187559,667167,370109,202642,202644,202623,202621,370060,667081,1187424,2068344,2068554,1187612,1187614,1187445,1187446,2065154,3173810,2066611,1186226,1186227,1184253,665205,368967,368966,665203,1184245,2063430,2067926,1187095,666904,369969,369970,666908,667132,370087,202635,202634,370079,667116,666952,666955,1187190,2068053,1187220,1187221,2068070,1187609,667199,370128,202658,110535,110534,110540,110541,202668,370143 Dl.O(d2) = 16314651,16314652,16314921,11350967,7542238,4770661,4770660,7542236,11350933,11350935,15546345,10752114,7103593,4472387,2687000,1556457,884875,499260,254085273,154548,279975,499253,884854,1556410,1556440,2686966,4472318,7064093,4447689,2672080,2672079,4447684,4776723,4776783,2881218,2881213,4780927,7560869,11375394,7557614,7557612,4780404,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,16343980,15546617,10752737,7103968,5258305,5258304,7102701,8188740,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836976,11738125,16787669,22513386,23571224,22530596,22394165,21980381,21980295,15885083,11381283,11381284,14485409,16354202,16354205,17322107,12197262,12197261,16339691,11368852,11368856,14431460,267907604,14435273,20127197,27018271,35103602,268107456,22514034,20127343,20127344,17319653,12194814,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,13851516,15546232,16323674,16323675,22497795,29860896,31084626,38425151,38421543,38421544,38749553,38415081,29845014,22478681,16307871,11346561,7539861,4769475,4769480,7104310,8234526,11091463,11091466,11356745,7545389,4772218,2876592,2876595,4772229,7538873,11344669,15330561,11544436,7680469,7680470,255112189,22777028,29843630,29843629,28518273,21297276,15329960,15328500,15328499,21295260,22385987,28516433,28518820,23545671,17238085,12121377,12121376,11345311,7539203,7539200,11345305,16306031,22475911,16305575,16305576,22475917,29842933,28287860,21081777,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3226377,3226379,5271908,8201055,12169111,11379118,7559924,7559923,11379116,16352180,22525140,22506141,16332290,11363103,11363107,16332298,22506146,29866557,31072875,31072876,39750488,39826137,31143752,23656720,17339948,12213768,12213769,15547331,15547330,21567092,28838647,37378824,39730932,31052328,23587605,23587604,23568272,23568275,17259335,12139353,8169031,8169030,7815672,4958247,4958248,7815676,5298837,5298835,8227841,12197229,17322061,22505936,16332076,14434425,9929136,9929137,14434430,20126310,25152325,23613583,17300539,12178521,12178522,17300543,22513334,22036452,15934626,15934627,22036454,23654052,17336962,12211080,12211079,16694646,11655648,11655647,16694644,22928970,23589277,23589278,27018319,20127270,14435343,14435342,254581122,8239553,254396528,17333249,23650295,23658051,20122997,20122996,17294994,12173732,12173731,17294991,22489162,16316289,16316290,22489165,29854328,23029991,254174800,11737924,16787413,22482515,254561666,17316644,17316645,22025094,15923924,11046681,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,11091898,11091899,15978092,16315918,16767961,22385956,16318343,16311729,16311727,21297364,28518322,37015359,29614310,29614311,38181262,37015370,28516702,28516703,29845188,267797064,254132052,7543315,7543316,11352937,16318085,22491355,22022892,22022889,15922792,11045668,11045667,15922790,22023790,267840580,22028465,22028466,22472086,29839720,22529964,16357351,11383368,7562833,4782108,4782109,254374434,12158949,17279525,22476842,16769381,16769382,16768752,11722462,7824982,4966544,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,7104522,10753524,15548177,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836982,11738143,12136738,8166695,8166696,12136742,17256779,23568275,17259335,12139353,8169031,8169030,7815672,4958247,4958248,7815677,5298841,5298840,8227847,12197243,13330051,18725260,25299893,20124439,14432662,14432661,20124436,27016352,27015689,27015691,23609834,23609833,23856423,17513105,17513106,23856426,30708442,254183240,12351026,12351025,14431690,16358118,16358117,17260327,12140168,12140167,11370715,7554099,7554098,11370711,16340146,11369187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162376, s2 = 10155739, dlinesl.size( ) = 2 s1 = 14162376, s2 = 10155739, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14162376, Dl.E( ) = 30, 2.41e-05 seconds used appending s1 = 15220778, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2187028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348701, s2 = 7692126, int(edited[s2]) = 0 s1 = 10348701, s2 = 7692126, d1 = 13, d2 = 11 Dl.O(d1) = 14231585,9783220,9783222,12896420,8771896,5712628,5712629,8771893,12896415,18184131,21521409,15509660,10726327,7086909,4462025,2680632,2680630,4462021,7086903,257454665 Dl.O(d2) = 272778111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348701, s2 = 7692126, dlinesl.size( ) = 14 s1 = 13168013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13168013, s2 = 8007470, int(edited[s2]) = 0 s1 = 13168013, s2 = 8007470, d1 = 41, d2 = 32 Dl.O(d1) = 16392829,267745050,254079286,4484911,2694641,1654574,941334,941335,1654576,2851518,4732673,3005236,1745523,992177,992175,1745519,3005229,2890349,2874745,1677598,954538,538218,301739,167090,91980,86476,86475,157373,167140,92002,86370,86369,157219,284525,507421,507398,507400,301814,301815,500269,886628,500284,500283,886651,254074868,1559986,2692708,4481598,4976350,3006045,1746249,1746248,2874144,4590830,4590829,4976204,7839256,7186369,4527409,2721523,1577043,896613,896612,778283,778284,1366385,2359849,3942056,6293607,9587727,12313660 Dl.O(d2) = 33143492,42097767,254919520,71388236,71388235,254979980,78446331,67722199,55382238,44535888,35160579,27074024,20178281,267948160,255436123,29234286,37217351,37217352,47114531,47717283,47717282,59114678,71852592 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14238877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2187403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2187403, s2 = 9712068, int(edited[s2]) = 0 s1 = 2187403, s2 = 9712068, d1 = 0, d2 = 0 Dl.O(d1) = 47653125,58778088,58778089,269078336,99004986,112994268,126847905,260758958,87881453,74279090,61502273,50024242,40005778,31327744,268995563,31327747,31327746,39929956,37898019,256160702,21999099,29329472,37898017,37898014,37898015,47819966,59218277,258730735,85544718,99491661,260574277,140729310,153411346,263135365,175920807,273713367,219114460,221938734,221938671,265109626,264647584,200785081,200785080,206775051,211724232,215769103,219114429,221938665,221938734,221938671,265109626,274190887,221938673,265556821,228302853,228303071,229912291,231340223,231340131,229912140,228302870,226469006,224363410,224363409,226469004,228302866,229912126,228302985,226469109,274493912,226469106,265991047,232619942,266386202,231340207,231340206,232619906,233776886,266181298,266113227,229912196,228302935,226469059,224363429,221938687,219114439,219114440,221938690,224363437,226469075,228302952,229912209,231340166,231340144,229912185,228302926,228302927,229912186,231340147,231340133,229912141,228303035,226469166,226469165,228303034,229912094,229912152,229912175,228302916,226469041,265489280,215769110,215769111,264647588,200785084,200785083,264492621,215769114,219114441,221938691,224363438,265859067,231340168,231340151,229912190,274493910,265714205,229912103,229912228,265939606,265652896,221938753,221938754,224363527,224363522,221938751,219114465,219114464,221938743,224363507,224363412,224363411,226469011,228302876,229912147,231340128,231340143,229912180,229912173,228302912,226469037,226469039,228302913,229912174,228302992,265859081,229912191,228302930,266113237,232619958,266225085,232619954,266225077,232619921,233776896,233776902,266181296,231340202,266225077,232619921,233776896,233776902,266181296,265939600,228303015,228302896,226469026,274464245,224363412,224363413,226469021,228302893,229912119,228303011,226469136,226469137,228303008,226469162,226469034,265714203,228302949,226469072,265714209,265991045,232619921,233776896,232619966,231340218,229912287,229912194,228302932,226469058,226469057,265991043,266423333,232619899,232619900,266065332,229912130,265939592,226469000,224363406,221938676,265382973,226469024,265991035,231340138,266113235,233776892,234830077,233776897,233776896,232619966,231340218,231340219,266065342,265489286,221938726 Dl.O(d2) = 47653125,58778088,58778089,269078336,99004986,112994268,126847905,260758958,87881453,74279090,61502273,50024242,40005778,31327744,268995563,31327747,31327746,39929956,37898019,256160702,21999099,29329472,37898017,37898014,37898015,47819966,59218277,258730735,85544718,99491661,260574277,140729310,153411346,263135365,175920807,273713367,219114460,221938734,221938671,265109626,264647584,200785081,200785080,206775051,211724232,215769103,219114429,221938665,221938734,221938671,265109626,274190887,221938673,265556821,228302853,228303071,229912291,231340223,231340131,229912140,228302870,226469006,224363410,224363409,226469004,228302866,229912126,228302985,226469109,274493912,226469106,265991047,232619942,266386202,231340207,231340206,232619906,233776886,266181298,266113227,229912196,228302935,226469059,224363429,221938687,219114439,219114440,221938690,224363437,226469075,228302952,229912209,231340166,231340144,229912185,228302926,228302927,229912186,231340147,231340133,229912141,228303035,226469166,226469165,228303034,229912094,229912152,229912175,228302916,226469041,265489280,215769110,215769111,264647588,200785084,200785083,264492621,215769114,219114441,221938691,224363438,265859067,231340168,231340151,229912190,274493910,265714205,229912103,229912228,265939606,265652896,221938753,221938754,224363527,224363522,221938751,219114465,219114464,221938743,224363507,224363412,224363411,226469011,228302876,229912147,231340128,231340143,229912180,229912173,228302912,226469037,226469039,228302913,229912174,228302992,265859081,229912191,228302930,266113237,232619958,266225085,232619954,266225077,232619921,233776896,233776902,266181296,231340202,266225077,232619921,233776896,233776902,266181296,265939600,228303015,228302896,226469026,274464245,224363412,224363413,226469021,228302893,229912119,228303011,226469136,226469137,228303008,226469162,226469034,265714203,228302949,226469072,265714209,265991045,232619921,233776896,232619966,231340218,229912287,229912194,228302932,226469058,226469057,265991043,266423333,232619899,232619900,266065332,229912130,265939592,226469000,224363406,221938676,265382973,226469024,265991035,231340138,266113235,233776892,234830077,233776897,233776896,232619966,231340218,231340219,266065342,265489286,221938726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2187403, s2 = 9712068, dlinesl.size( ) = 2 s1 = 2187403, s2 = 9712068, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2187403, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15056635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13576653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9155220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2533858, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9113472, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2189322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2189322, s2 = 11212316, int(edited[s2]) = 0 s1 = 2189322, s2 = 11212316, d1 = 0, d2 = 19 Dl.O(d1) = 59249467 Dl.O(d2) = 184884996,184884998,262210878,152735326,140045034,126697661,259349704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2189322, s2 = 11212316, dlinesl.size( ) = 18 s1 = 6633417, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6672444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6672444, s2 = 8217402, int(edited[s2]) = 0 s1 = 6672444, s2 = 8217402, d1 = 23, d2 = 27 Dl.O(d1) = 257179732,258383584 Dl.O(d2) = 257817002,268501102,15943752,22041430,29372450,22051998,15948621,11067661,11067664,15948627,22052003,18923188,13490367,13490369,18923195,25534419,29376775,29624668,26608895,19801229,19801227,254987638,254539511,4814265,7609714,7743828,4903772,4796587,2891304,1678169,256960277,254856809,8410987,9140317,5981351,3740216,3740215,5981347,8443827,7119818,7119817,10775734,9141052,5981813,3740490,2239329,2239330,3740496,5981822,9141064,13374357,12461988,8430899,5442719,3345906,3345905,5442717,8430895,12461985,17637751,18780853,25358141,255575349,12464856,12451565,8419866,8419865,12450451,17629340,12477376,12477377,12444491,12444492,268258063,15787840,15787839,12476457,12476459,254861291,5456557,5456558,8432340,8432339,8451156,8451154,12480168,12448290,12448288,8451104,5459175,3356409,3356410,5459171,8451098,12467056,17633242,12466734,12466735,17625263,12445244,8442411,8442412,12450419,12440372,8434077,5445101,3347400,1968166,1968165,3347396,5445095,8434072,8408108,5425664,3335359,1964195,1964196,3340169,5433185,3339983,3339984,5433190,5433191,5433192,8418391,8410567,8410569,5435156,3341246,3341248,5435165,8421067,8436146,8427056,8427053,12458543,12467151,12478987,12466846,8435815,5446554,3348304,1968675,1968673,3348301 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1647183, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2535166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6808484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6808484, s2 = 15647190, int(edited[s2]) = 0 s1 = 6808484, s2 = 15647190, d1 = 15, d2 = 27 Dl.O(d1) = 258734981 Dl.O(d2) = 98594935,84671734,84671733,84671734,71108589,58391825,47020604,37133138,28620996,21383985,267963312,7028086,6577718,4120855,2465077,1425003,877465,865827,491040,275768,152357,152353,152336,152331,275691,490638,870275,1533895,2652419,4421023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6808484, s2 = 15647190, dlinesl.size( ) = 2 s1 = 6808484, s2 = 15647190, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6808484, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 7622951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9420571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6647552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6647552, s2 = 7724827, int(edited[s2]) = 0 s1 = 6647552, s2 = 7724827, d1 = 52, d2 = 59 Dl.O(d1) = 256921881 Dl.O(d2) = 273775688 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2191086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2191086, s2 = 1055736, int(edited[s2]) = 0 s1 = 2191086, s2 = 1055736, d1 = 0, d2 = 11 Dl.O(d1) = 59280050 Dl.O(d2) = 26947480,26947479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2191086, s2 = 1055736, dlinesl.size( ) = 2 s1 = 2191086, s2 = 1055736, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2191086, Dl.E( ) = 20, 1.29e-05 seconds used appending s1 = 6808569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6808569, s2 = 6811698, int(edited[s2]) = 0 s1 = 6808569, s2 = 6811698, d1 = 10, d2 = 22 Dl.O(d1) = 258735753,59280519,59280518 Dl.O(d2) = 127448143,260608824,140807557,260608824,140807555,258765506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6808569, s2 = 6811698, dlinesl.size( ) = 14 s1 = 14164187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8185502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163726, s2 = 2536643, int(edited[s2]) = 0 s1 = 14163726, s2 = 2536643, d1 = 0, d2 = 0 Dl.O(d1) = 30723337,257022557,257602972,28992726,255337426,7169677,7169676,8213303,12181901,8213578,5284423,3237135,1899117,1899118,3237136,5284427,8213587,255160881,23619447,28856913,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213249,12181816,17304468,23618472,31103184,38001088,256926142,256926146,37395130,28854540,28854539,37395128,38001407,38001409,47306348,47306349,58696595,58696269,48171109,48171110,58182922,257023370,256478554,46815932,58182797,49800038,49799159,39779522,31100991,23616877,17303944,12181447,12181446,255143654,12181136,17303302,23616514,29778538,22413744,22413745,29778540,255548639,17303285,23616478,31100341,39778758,49798581,257023420,49799967,39780669,39779081,38350703,29778465,22413698,22413699,29778467,38350707,39780347,39780348,38350641,29778392,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,268426102,37499410,268972692,255533481,12019687,8079006,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,6012874,9187123,13437577,18860303,25460207,18860242,13437537,13437538,18860244,25460210,33202670,25455779,25455778,33202668,268746283,18859001,18859000,25458504,20813964,15179559,15179560,18859677,255664891,33206718,255664839,13437259,9186966,6012801,6012800,9186965,13435722,10936335,7236118,4561659,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143264,25788069,30702344,39299850,49226804,60628030,60628029,70817842,58100689,46728719,46728720,48019945,38781718,37980266,29417344,22086879,22086880,268631143,47897533,59292929,72029281,64184408,52334219,41995023,33051613,256117701,18744256,13344123,9117552,9117553,7733654,4896156,2950733,2950732,4896154,7608769,7608770,11442209,7739589,7739588,9852288,6471618,6471616,256211639,44363711,55214654,258522851,72117831,59386205,47997229,38085099,29520617,22178170,22178171,29520618,38085097,47997227,59386203,258742719,86463637,72868218,60131437,48736757,38816485,30233204,255499127 Dl.O(d2) = 30723337,257022557,257602972,28992726,255337426,7169677,7169676,8213303,12181901,8213578,5284423,3237135,1899117,1899118,3237136,5284427,8213587,255160881,23619447,28856913,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213249,12181816,17304468,23618472,31103184,38001088,256926142,256926146,37395130,28854540,28854539,37395128,38001407,38001409,47306348,47306349,58696595,58696269,48171109,48171110,58182922,257023370,256478554,46815932,58182797,49800038,49799159,39779522,31100991,23616877,17303944,12181447,12181446,255143654,12181136,17303302,23616514,29778538,22413744,22413745,29778540,255548639,17303285,23616478,31100341,39778758,49798581,257023420,49799967,39780669,39779081,38350703,29778465,22413698,22413699,29778467,38350707,39780347,39780348,38350641,29778392,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,268426102,37499410,268972692,255533481,12019687,8079006,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,6012874,9187123,13437577,18860303,25460207,18860242,13437537,13437538,18860244,25460210,33202670,25455779,25455778,33202668,268746283,18859001,18859000,25458504,20813964,15179559,15179560,18859677,255664891,33206718,255664839,13437259,9186966,6012801,6012800,9186965,13435722,10936335,7236118,4561659,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143264,25788069,30702344,39299850,49226804,60628030,60628029,70817842,58100689,46728719,46728720,48019945,38781718,37980266,29417344,22086879,22086880,268631143,47897533,59292929,72029281,64184408,52334219,41995023,33051613,256117701,18744256,13344123,9117552,9117553,7733654,4896156,2950733,2950732,4896154,7608769,7608770,11442209,7739589,7739588,9852288,6471618,6471616,256211639,44363711,55214654,258522851,72117831,59386205,47997229,38085099,29520617,22178170,22178171,29520618,38085097,47997227,59386203,258742719,86463637,72868218,60131437,48736757,38816485,30233204,255499127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163726, s2 = 2536643, dlinesl.size( ) = 2 s1 = 14163726, s2 = 2536643, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14163726, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 13740653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162822, s2 = 13393130, int(edited[s2]) = 0 s1 = 14162822, s2 = 13393130, d1 = 13, d2 = 15 Dl.O(d1) = 12740025,17977169,24375508,256371596,34689130,255065726,14239589,14239588,19874498,256205737,43964347,54708084,66967156,80397340,94456643,108749803,123018730,131381818,117581643,103451315,89355903,89355904,90021115,89355893,89355894,258317452,75594728,62652181,62652180,63205909,51928268,41625457,32719384,32719385,41625459,51928275,63737655,76841236,259624829,104881437,119067021,119067022,104881436,90711641,90711640,90711550,76841142,76841141,90711548,104881371,114297874,100268140,100268139,258787280,141538151,132887955,119067006,114297903,100268149,86306408,86306409,100268151,114297905,128180751,141538162,149157774,135933082,128180730,114297877,114297876,259412080,260029160,128180755,126760431,126760432,118020943,118020944,115838639,101792567,101792568,115838641,126760427,129737641,115838634,101792563,87820016,74215964,74215963,87820014,98920435,98920420,259939713,101792578,260115193,115838644,261216306,270860338,61436735,61436736,61436733,49958738,49958737,61436731,61436738,49958741,49958739,61436734,74215972,72878413,72039908 Dl.O(d2) = 47909357,258113527,85628022,85628020,72039911,59304013,47909356,37993238,29431042,22099331,15990032,15990031,22099330,22135307,29471279,29431037,22099326,22099325,22099204,15989911,11100211,11098751,10464618,7362495,4650542,2801230,2801231,4650544,7362500,11102046,12504415,17681379,22095943,16043402,15277041,15277042,255484379,14487485,14487483,15550553,11098705,7360426,7360425,11098700,15987626,22095998,21573554,15550518,10755122,7105521,7105518,10755118,15550509,21573541,28845287,22096093,22096092,22102823,22102824,28845327,29479120,22141744,22141743,23242880,23242879,28332381,22141987,20191369,14487466,9968135,9968136,14487469,20191371,27089584,35177685,40220481,31534536,31534537,37988265,29505872,22165918,22165917,28845264,21573522,21573521,20191401,15987646,11098719,7360433,4649380,4649379,7360431,11098714,10755149,7105535,4473497,2687605,2687604,4473493,7105527,10755135,15550545,21573587,16043397,11139778,11139776,16043390,21828590,15760720,15760722,11098921,7360556,7360558,11098930,15987385,22095689,29426488,37987871,37987837,37987836,47903478,47029607,47029608,47903401,59298089,59332416,268660128,47903407,257505154,256571194,37987781,29426396,268270592,37987785,47903423,59298099,72034374,74904723,62101384,62101383,74904722,72034576,59298423,59298424,72034578,85623051,85114752,71543388,58814748,58814749,58401633,54589548,43845155,43845156,54589553,59298239,66848318,59298169,47903525,37987891,37987890,40561871,40561832,31860136,31860138,31860147,28308211,28308212,28794172,21529193,21529194,22095888,29426720,26586861,19782618,19782617,26586856,34573666,33105910,31860204,31860200,40561903,47294439,47294438,39511975,39511973,49443268,48952366,39030674,39030677,47087048,47087046,46502437,37520238,37520237,47427928,50259133,40239810,31553795,24049735,24049734,31553794,37519843,47427582,47427343,47427342,47427561,47427560,47427464,37519677,28975888,21693269,17316974,17316976,21693715,28976512,37520264,47427955,257468958,71543345,58814655,58814654,71543311,257468949,37519816,28976052,21693403,15652945,10834215,10834216,15652950,15461751,15461749,21462109,25281325,21693295,21693294,28975921,37519464,28976179,28976180,28975692,24049755,17696355,12516364,8479381,8479382,12516366,16726797,15652779,10834119,10834118,15652774,21693140,28975745,28975980,37519745,37520282,34261845,28976376,21693637,15653091,10834282,10834127,10834126,15652796,15653003,15653048,21693574,21886035,15809711,15809712,255651742,31553839,256628832,15596344,10789241,10789243,15596353,21462093,21462092,28718159,21693193,21693151,21693150,28975756,35402567,37249174,37249173,37249133,28718238,21462156,15461772,15461771,21462153,15652797,15652798,16726787,17863058,254516016,11684116,11684114,16726801,22963382,28550870,30365318,38951595,36453830,29629174,29629175,28718326,28718328,28718335,21462231,21462232,28718288,28718099,28718097,21462164,15461779,15461778,21462170,28718109,28718108,32993440,25269339,18697475,18697474,25269332,25277304,22368520,21462200,21462198,27989919,22368274,22368273,22368552,22368553,26983304,22958617,16722742,16722741,18712711,13319342,13319343,18712719,20338085,22963318,19176767,19176764,25263269,23650747,23650746,30102392,22720701,22720702,30102397,36549717,36549716,36447503,31427318,23936402,23936401,22725875,22725874,30106877,30360023,22958636,22958638,30359978,33106102,25371128,25371132,25371010,18786762,18786763,25371012,33106004,35117739,38946099,30360022,29590103,22241831,16105609,16105610,22241835,29590109,22958655,22958656,30360026,22958644,22958642,256122239,42055230,256629204,28276845,29590309,33106117,42055248,38291788,29724864,22721987,18786757,18786759,22241609,16105448,16105449,18786902,18786901,15136868,10439852,6882285,6882284,10439845,9146397,5985429,3742676,2240530,2240528,3742669,5985414,9146361,13381025,18786826,16105626,11187052,7422850,254770203,16105621,22241850,255081919,11187104,16105700,22241954,29590199,38156362,48068899,48069039,257609875,255981901,17111644,13505103,255266953,11187117,7422890,4690718,2826418,2826417,4690690,7422834,8084409,12024970,17111788,255458569,11187087,7422874,7422875,11187090,16105682,22241713,29589976,29590465,29590464,33447271,25676395,19054546,254932661,9314315,13602584,19054375,19054374,13602570,9314276,9314277,13602577,19054429,25676221,33446972,37442529,28902972,21628385,15597402,15597403,21628386,25676132,19054349,19054347,25676128,33446995,39415727,49345352,42439850,33446772,25675960,19054231,19054230,25675955,33446764,38156587,48069046,49345281,39415604,39415603,49345276,39415647,30810406,30810404,33446989,39415748,30810547,25675978,19054245,19054246,25675981,25676091,19054323,19054324,256144711,25676240,25676238,33447061,37442518,37442519,47349242,39415901,268427761,23382247,30810765,39415903,42439884,42439885,42440018,52844578,59381347,52844587,52844588,52844589,48160974,48160975,52844732,60748484,64764512,257403630,35330559,35330560,44758589,49345480,60748488,61375236,61375235,71898607,59160778,47991367,38078624,255189088,50480276,61972983,59160771,477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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162822, s2 = 13393130, dlinesl.size( ) = 16 s1 = 10345629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345629, s2 = 15915555, int(edited[s2]) = 0 s1 = 10345629, s2 = 15915555, d1 = 7, d2 = 7 Dl.O(d1) = 54589743,43845370,43845371,42040517,42040518,47870848,255425016,34573914,34573913,43845372,43296252,43296253,53821088,48161948,38252801,29687650,29687649,38252799,254470658,23861321,23861320,26937333,20051471,14366049,254685996,4064035,2432116,1406747,1406745,2432094,4063990,6485587,6494196,6494193,9884137,14378117,20062361,26947386,35028077,44403396,55251299,59020980,55247696,44399667,38632302,38632301,268067884,36881879,28385313,28385312,30021545,254469574,22095493,15987248,14392515,14392514,20075038,26958757,35038684,28266312,21063552,15129907,15129906,15129899,10435455,10435454,15129898,21063540,28266296,28266303,28266304,36762160,46647840,46647838,36762158,28266302,28266301,36762153,255805975,21063542,28266299,36762155,46647832,46647833,58020939,70735670,259032038,70735672,70735671,70571537,70571536,84108284,84036225,84036223,84036224,84036226,84036230,258762913,48256053,48256052,59642781,60124125,57800713,57740885,46390684,36530425,36530424,46390682,57740881,48256048,38345697,38345695,48256045,257082972,31038731,23556653,17247533,17247532,20182977,27080365,31886426,40483227,31788204,31788205,40483230,35080409,26995520,267860958,9913829,6515139,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375272,255852662,20903302,28075422,36543188,46404498,269080608,59931101,52525809,42167613,33207583,25459893,22673996,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051441,17051448,11961930,11961929,17051445,22673980,16477463,16477464,255928883,30733323,39330812,30732505,23313643,23313642,30732503,30731649,23312937,17050270,17050269,23312934,30731644,36436552,27977853,27977854,268901013,38043157,29479925,22142414,18054807,18054808,23313523,30732375,39330711,39331902,39332983,268988228,29480040,29480039,29480113,22142560,22142559,22142600,16024749,16024748,22142596,17052054,17052056,23315590,29480721,29480722,30732251,30732250,36785505,30026142,22653090,22652972,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007128,11961365,17050397,17051964,17051965,23315450,30734598,38242892,255845974,30785165,23359999,17091302,12483856,12483854,17654720,23998868,31496239,34090544,29274482,29274481,37841020,39816059,49839649,257391678,33563559,25774197,19133994,19133995,23837920,31329294,40007361,50025904,61213109,49734748,39716152,39716153,49734749,61213111,73991926,87592277,101554824,115591179,115591182,115591181,101554826,101554825,115591180,129476187,126281041,112418026,112418027,126281044,139651184,151498433,138798054,125470062,111668705,97749792,83892981,70368488,70368489,83892983,258531766,97749794,111668707,125470064,138798055,127477438,127477437,113603058,99587684,85637569,72049983,59315030,47921781,38006361,29443423,22109766,15998008,11106241,7366016,7366017,11106243,15998012,22109765,29443422,256744715,26999371,22109655,19277336,13780075,13780077,14422929,14422928,14419934,9918414,6518437,4084221,2443604,2443605,4084225,6518443,6570359,4115932,2461898,1423065,267783133,4115936,6570365,9997252,14528845,20246807,27158533,256758859,55492148,67833609,81299552,95355478,102427075,257683320,61997056,256551892,40469865,31775052,24262736,17884702,12667952,8602884,5590409,3468258,2056549,1179817,662500,367353,201023,201022,367352,662499,1179814,2056539,3468226,5590339,8602708,12667620,17884168,17884227,17884225,14194626,9757991,9757992,14194617,14194615,19816260,26627271,29678643,26627240,26626805,26626807,22095172,15987021,11098315,9757879,6416040,4025279,2412199,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,23974947,30914781,23477906,17195398,12091463,12091462,9415901,9415900,13742972,18705690,21829007,28051572,20882931,14980545,14980544,20882914,20882915,28051551,31640276,24133185,19069031,17769618,12575054,9703937,9703938,14107400,19678610,26414439,34290108,32838501,32838499,41758958,52072181,48945854,255059504,36481653,32838017,25132885,25132884,32838016,33747705,25940045,25940046,29318775,30802341,28328121,255683894,37607632,47512397,48585662,38669621,30092496,30092495,26333339,19604909,19604910,26333346,26414469,34290138,43389331,53057611,53540094,43060801,268300788,19460859,19460860,20045725,19461203,13927324,9559321,6272427,6272426,9559313,13927310,19461153,19461154,23336146,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271670,6271673,9557836,12735206,13925191,13617382,13617383,19074110,19074223,25700014,21118779,15171779,15171780,15894747,11018654,7294540,4600266,4600267,7294543,11018658,15894757,21992574,24133070,17769487,17769486,24133068,31640145,40329475,47809789,49123111,60524244,73269251,86881022,79086934,79086935,93202145,92469751,79086932,79086933,93202141,107602656,121972726,135894861,149115275,152726811,140032407,126679583,112822826,98831908,84906085,71333742,61210544,50312126,268258486,47550735,58932749,268683246,60164906,268119962,38850713,36994860,28497351,21279848,21279850,28497356,24734219,18261158,18261157,24734217,32349989,41164873,37305370,37305371,42100173,33146103,267799544,37642027,47548434,40178121,31492712,31492713,40178124,50201847,49414944,39485188,39485186,38419459,38419458,48327850,40061268,33146130,33146129,255187678,33146212,25405966,18815819,13404415,13404414,18815818,25405964,25406037,25406176,25406175,33146419,42100399,43209806,53721698,43209821,34122498,26257193,19538494,19538495,26257194,34122499,43209823,53721716,65778517,79133363,93248884,107651789,122026233,135953727,149177581,161463704,161463705,172639893,182566481,191247173 Dl.O(d2) = 54589743,43845370,43845371,42040517,42040518,47870848,255425016,34573914,34573913,43845372,43296252,43296253,53821088,48161948,38252801,29687650,29687649,38252799,254470658,23861321,23861320,26937333,20051471,14366049,254685996,4064035,2432116,1406747,1406745,2432094,4063990,6485587,6494196,6494193,9884137,14378117,20062361,26947386,35028077,44403396,55251299,59020980,55247696,44399667,38632302,38632301,268067884,36881879,28385313,28385312,30021545,254469574,22095493,15987248,14392515,14392514,20075038,26958757,35038684,28266312,21063552,15129907,15129906,15129899,10435455,10435454,15129898,21063540,28266296,28266303,28266304,36762160,46647840,46647838,36762158,28266302,28266301,36762153,255805975,21063542,28266299,36762155,46647832,46647833,58020939,70735670,259032038,70735672,70735671,70571537,70571536,84108284,84036225,84036223,84036224,84036226,84036230,258762913,48256053,48256052,59642781,60124125,57800713,57740885,46390684,36530425,36530424,46390682,57740881,48256048,38345697,38345695,48256045,257082972,31038731,23556653,17247533,17247532,20182977,27080365,31886426,40483227,31788204,31788205,40483230,35080409,26995520,267860958,9913829,6515139,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375272,255852662,20903302,28075422,36543188,46404498,269080608,59931101,52525809,42167613,33207583,25459893,22673996,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051441,17051448,11961930,11961929,17051445,22673980,16477463,16477464,255928883,30733323,39330812,30732505,23313643,23313642,30732503,30731649,23312937,17050270,17050269,23312934,30731644,36436552,27977853,27977854,268901013,38043157,29479925,22142414,18054807,18054808,23313523,30732375,39330711,39331902,39332983,268988228,29480040,29480039,29480113,22142560,22142559,22142600,16024749,16024748,22142596,17052054,17052056,23315590,29480721,29480722,30732251,30732250,36785505,30026142,22653090,22652972,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007128,11961365,17050397,17051964,17051965,23315450,30734598,38242892,255845974,30785165,23359999,17091302,12483856,12483854,17654720,23998868,31496239,34090544,29274482,29274481,37841020,39816059,49839649,257391678,33563559,25774197,19133994,19133995,23837920,31329294,40007361,50025904,61213109,49734748,39716152,39716153,49734749,61213111,73991926,87592277,101554824,115591179,115591182,115591181,101554826,101554825,115591180,129476187,126281041,112418026,112418027,126281044,139651184,151498433,138798054,125470062,111668705,97749792,83892981,70368488,70368489,83892983,258531766,97749794,111668707,125470064,138798055,127477438,127477437,113603058,99587684,85637569,72049983,59315030,47921781,38006361,29443423,22109766,15998008,11106241,7366016,7366017,11106243,15998012,22109765,29443422,256744715,26999371,22109655,19277336,13780075,13780077,14422929,14422928,14419934,9918414,6518437,4084221,2443604,2443605,4084225,6518443,6570359,4115932,2461898,1423065,267783133,4115936,6570365,9997252,14528845,20246807,27158533,256758859,55492148,67833609,81299552,95355478,102427075,257683320,61997056,256551892,40469865,31775052,24262736,17884702,12667952,8602884,5590409,3468258,2056549,1179817,662500,367353,201023,201022,367352,662499,1179814,2056539,3468226,5590339,8602708,12667620,17884168,17884227,17884225,14194626,9757991,9757992,14194617,14194615,19816260,26627271,29678643,26627240,26626805,26626807,22095172,15987021,11098315,9757879,6416040,4025279,2412199,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,23974947,30914781,23477906,17195398,12091463,12091462,9415901,9415900,13742972,18705690,21829007,28051572,20882931,14980545,14980544,20882914,20882915,28051551,31640276,24133185,19069031,17769618,12575054,9703937,9703938,14107400,19678610,26414439,34290108,32838501,32838499,41758958,52072181,48945854,255059504,36481653,32838017,25132885,25132884,32838016,33747705,25940045,25940046,29318775,30802341,28328121,255683894,37607632,47512397,48585662,38669621,30092496,30092495,26333339,19604909,19604910,26333346,26414469,34290138,43389331,53057611,53540094,43060801,268300788,19460859,19460860,20045725,19461203,13927324,9559321,6272427,6272426,9559313,13927310,19461153,19461154,23336146,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271670,6271673,9557836,12735206,13925191,13617382,13617383,19074110,19074223,25700014,21118779,15171779,15171780,15894747,11018654,7294540,4600266,4600267,7294543,11018658,15894757,21992574,24133070,17769487,17769486,24133068,31640145,40329475,47809789,49123111,60524244,73269251,86881022,79086934,79086935,93202145,92469751,79086932,79086933,93202141,107602656,121972726,135894861,149115275,152726811,140032407,126679583,112822826,98831908,84906085,71333742,61210544,50312126,268258486,47550735,58932749,268683246,60164906,268119962,38850713,36994860,28497351,21279848,21279850,28497356,24734219,18261158,18261157,24734217,32349989,41164873,37305370,37305371,42100173,33146103,267799544,37642027,47548434,40178121,31492712,31492713,40178124,50201847,49414944,39485188,39485186,38419459,38419458,48327850,40061268,33146130,33146129,255187678,33146212,25405966,18815819,13404415,13404414,18815818,25405964,25406037,25406176,25406175,33146419,42100399,43209806,53721698,43209821,34122498,26257193,19538494,19538495,26257194,34122499,43209823,53721716,65778517,79133363,93248884,107651789,122026233,135953727,149177581,161463704,161463705,172639893,182566481,191247173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345629, s2 = 15915555, dlinesl.size( ) = 2 s1 = 10345629, s2 = 15915555, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10345629, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 2538231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2193747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164340, s2 = 9522411, int(edited[s2]) = 0 s1 = 14164340, s2 = 9522411, d1 = 0, d2 = 0 Dl.O(d1) = 238835323,238176406,238176407,274813113,239440788,239440803,274830959,240000119,240000109,239440734,238835297,238176387,237452489,236655022,236655023,237452491,238176388,238835299,239440735,240000110,240518952,241000614,241446443,241859750,242240963,242192432,241807589,241390278,240939823,240453378,239929031,239362232,238746679,238076616,237339905,237339904,238076615,237587607,236802819,274700137,233954386,232813371,266012973,228558189,226754965,224687097,222305456,219531173,216246893,264790057,207435818,201555342,194569411,186414426,186414425,177058554,166477372,154772194,142140132,128787036,114891505,114891504,114891506,260063729,99595421,258822807,60501571,49097917,39167726,30569874,23152461,16891562,11820199,7898533,7898532,11820198,11820238,7898558,7898557,11820237,15978487,16006695,16006694,22120468,29454682,38016989,47931217,258114617,72058007,85645333,99595426,113610735,99595423,85645330,85645331,99595424,113610736,127485049,140843721,140843720,140843719,138590143,136463096,122521787,108144011,93756316,93756317,257729184,79397965,79397966,262062077,272952432,171471314,160256773,148008793,134888886,121087200,121087199,134888881,148008776,160256744,171471270,171471160,160256682,160256681,171471142,181484208,181484572,181484571,190274466,190274421,181484559,171471382,160256808,160256807,171471378,181484550,264079491,197862516,190274437,190274422,190274423,197862274,190274192,190274191,197862271,273461452,171471286,171471157,160256682,160256681,171471142,181484206,263744441,190273942,197862031,197862485,197862484,190274481,190274483,197862563,197862573,197862195,197862194,197862350,264079459,197862209,204329146,209724051,204329063,197862109,190274194,190274195,197862276,197862196,190274112,190274113,197862198,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471191,181484293,190274160,264079465,197862220,190274136,181484279,171471183,160256692,160256694,171471191,181484293,190274160,197862247,204328988,197862467,197862468,197862197,197862198,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471132,171471131,181484184,190274020,190274194,190274195,197862276,197862196,197862194,263373232,160256750,160256751,171471281,181484418,190274300,181484504,171471349,262010308,121087203,121087204,134888900,148008816,160256803,171471115,160256655,160256654,171471112,181484165,190273994,197862095,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471191,181484293,190274162,181484315,181484314,190274181,190274374,190274348,190274349,197862443,204329286,264647937,214148308,209724095,209724094,214148307,214148304,264890571,214148335,209724124,204329202,204329110,197862160,197862159,264378677,197862327,263373224,181484346,190274231,181484449,171471304,160256764,148008787,134888886,121087200,121087199,134888881,148008776,160256745,171471272,181484407,181484224,263373203,197862153,204329104,209724075,214148294,217781076,214148295,209724160,209724159,204329298,197862456,190274363,181484477,263373219,190274100,197862182,204329127,209724079,209724081,204329304,197862473,190274388,181484496,171471344,171471343,181484493,181484399,181484398,181484238,171471160,160256682,148008740,148008739,160256675,171471147,181484219,190274060,197862147,263744540,190274452,197862530,197862420,197862421,197862055,190273965,181484150,181484149,190273963,197862049,190274222,190274220,190274106,190274105,190274390,190274391,197862475,264378689,263744518,171471195,263373205,171471180 Dl.O(d2) = 238835323,238176406,238176407,274813113,239440788,239440803,274830959,240000119,240000109,239440734,238835297,238176387,237452489,236655022,236655023,237452491,238176388,238835299,239440735,240000110,240518952,241000614,241446443,241859750,242240963,242192432,241807589,241390278,240939823,240453378,239929031,239362232,238746679,238076616,237339905,237339904,238076615,237587607,236802819,274700137,233954386,232813371,266012973,228558189,226754965,224687097,222305456,219531173,216246893,264790057,207435818,201555342,194569411,186414426,186414425,177058554,166477372,154772194,142140132,128787036,114891505,114891504,114891506,260063729,99595421,258822807,60501571,49097917,39167726,30569874,23152461,16891562,11820199,7898533,7898532,11820198,11820238,7898558,7898557,11820237,15978487,16006695,16006694,22120468,29454682,38016989,47931217,258114617,72058007,85645333,99595426,113610735,99595423,85645330,85645331,99595424,113610736,127485049,140843721,140843720,140843719,138590143,136463096,122521787,108144011,93756316,93756317,257729184,79397965,79397966,262062077,272952432,171471314,160256773,148008793,134888886,121087200,121087199,134888881,148008776,160256744,171471270,171471160,160256682,160256681,171471142,181484208,181484572,181484571,190274466,190274421,181484559,171471382,160256808,160256807,171471378,181484550,264079491,197862516,190274437,190274422,190274423,197862274,190274192,190274191,197862271,273461452,171471286,171471157,160256682,160256681,171471142,181484206,263744441,190273942,197862031,197862485,197862484,190274481,190274483,197862563,197862573,197862195,197862194,197862350,264079459,197862209,204329146,209724051,204329063,197862109,190274194,190274195,197862276,197862196,190274112,190274113,197862198,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471191,181484293,190274160,264079465,197862220,190274136,181484279,171471183,160256692,160256694,171471191,181484293,190274160,197862247,204328988,197862467,197862468,197862197,197862198,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471132,171471131,181484184,190274020,190274194,190274195,197862276,197862196,197862194,263373232,160256750,160256751,171471281,181484418,190274300,181484504,171471349,262010308,121087203,121087204,134888900,148008816,160256803,171471115,160256655,160256654,171471112,181484165,190273994,197862095,204329000,204329001,197862316,190274222,190274221,197862230,190274142,181484282,171471183,160256692,160256694,171471191,181484293,190274162,181484315,181484314,190274181,190274374,190274348,190274349,197862443,204329286,264647937,214148308,209724095,209724094,214148307,214148304,264890571,214148335,209724124,204329202,204329110,197862160,197862159,264378677,197862327,263373224,181484346,190274231,181484449,171471304,160256764,148008787,134888886,121087200,121087199,134888881,148008776,160256745,171471272,181484407,181484224,263373203,197862153,204329104,209724075,214148294,217781076,214148295,209724160,209724159,204329298,197862456,190274363,181484477,263373219,190274100,197862182,204329127,209724079,209724081,204329304,197862473,190274388,181484496,171471344,171471343,181484493,181484399,181484398,181484238,171471160,160256682,148008740,148008739,160256675,171471147,181484219,190274060,197862147,263744540,190274452,197862530,197862420,197862421,197862055,190273965,181484150,181484149,190273963,197862049,190274222,190274220,190274106,190274105,190274390,190274391,197862475,264378689,263744518,171471195,263373205,171471180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164340, s2 = 9522411, dlinesl.size( ) = 2 s1 = 14164340, s2 = 9522411, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164340, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8226350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2862756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2862756, s2 = 9692996, int(edited[s2]) = 0 s1 = 2862756, s2 = 9692996, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 85666634,72080085,59346353,47955101,38041589,29478541,29478540,38041588,47955100,59346352,65895560,53828310,53828311,65895562,79258086,93384667,90054151,259159528,63229306,63229305,76245148,74317705,61541316,50063215,40043809,31363606,31363605,40043808,50063214,61541314,71520330,58790707,47403176,37495391,37495392,47403179,58790711,256865380,51365064,41178964,32363043,24746502,254517706,12969063,10616681,7006100,4403969,4403964,6267426,3924170,2349316,2349314,3924194,6267478,9551799,12858539,8744302,5692805,3541562,3541563,5692807,8744308,12858546,15428460,15428461,17941794,17941792,21444930,22328860,16182685,13353374,11128175,11128174,13364947,12795726,8699491,5662559,3521770,3521773,5662568,4725012,2846901,2846900,4442230,2762942,2762941,4592389,7282093,11000738,11003890,7284324,7284322,8699395,5662509,5662513,5856036,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648338,5624903,5624898,8648327,12727577,13789510,9455175,9455174,13789509,19288370,21403718,254475024,10673833,7050050,4437436,4437435,7050044,10673822,15439308,18767755,13364123,13364125,13369079,18059766,18059765,12815701,12815700,10393324,10393323,8497528,8497527,12535871,14418391,15639870,10822836,7152540,4504241,2706771,1568596,892014,892013,1568593,2706760,4504221,5626712,8650704,12730825,17964929,13772950,13104510,13104511,14416971,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,9137201,9137202,13369308,13364894,13364895,18768566,25350287,21967212,15873247,11002094,7283055,4592949,2763234,2763235,254517745,255329132,20106755,20106812,26997649,33061814,25332753,18753445,13352744,9124799,5970937,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,254316178,11004071,15875254,21968823,255744924,256133842,24471392,24471393,255265502,10404784,10404783,7285391,4594363,4594367,3521132,3521128,5661525,8697981,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,434913,245609,245607,434901,764619,1338637,2307039,3850620,5827825,5827821,5977988,3738335,3738332,5626871,5626873,5630137,3498423,2078953,2078952,3498412,5630108,3541579,2108484,1214557,1214560,2108498,3541682,2185237,2185236,3126047,3126046,3653733,5853258,8966262,11000462,7281896,4592265,4592266,7281898,11000467,14190266,14190265,15871417,11000431,11000432,13364956,13364955,18768638,15428413,10665843,7044085,4433117,4433116,254091272,3677486,2201502,1279057,731594,731593,1279053,2201486,2992383,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,5973043,5973042,6764559,4239378,2534751,2534750,4239412,6764643,10290392,14957205,15397091,15397092,13419141,9175008,6005173,3755593,2258709,2258710,1395283,793518,793517,1395281,823613,465126,261873,261871,465122,823605,1454618,2524158,4221616,267802890,17388408,12592719,8543863,8543862,12592708,17791497,24158809,267774014,50397818,58335623,46967644,37086232,28581564,28581565,37086234,46967646,41726674,41726675,52041729,42160790,42160791,52519021,64106874,52258046,41919849,32979767,32979765,41919845,52258038,64106862,77253588,91172042,105393979,119630289,133502226,146758383,152364856,139644092,139644093,141954623,147013190,133763008,119891731,105652260,91425408,258400379,257195491,33154631,25413431,18821638,13408822,9167388,6000077,3752339,3752338,6000076,9167390,13408825,255661503,33154636,42109219,52461834,64329566,54642619,43899557,34627231,26637338,19825276,255728195,21027040,15102910,15102911,21027041,28222294,36715036,46603142,57980281,46603143,46603144,57980278,57980279,70698165,84249932,98143510,112102392,125935533,130065126,130065127,143395140,130065128,116156975,102099831,88112857,74501202,61719753,61719752,61719743,50240946,40220891,31534918,31534919,40220892,50240947,61719744,74501193,88112852,93384669,271114275,122211807,136174670,136174668,128839222,128839221,259519178,142196073,142196072,132851089,119031114,104847292,90678915,76809814,63707482,51899642,51899641,41599469,32697191,32697190,25014697,18485735,13133132,8950723,5842199,5842198,5842218,5842222,8950759,13133196,18485868,25014904,28035891,36498920,39776876,40178688,36498966,36498962,38251304,29686140,22333887,22333889,17625861,12445916,8414240,5430118,3338059,3338061,5430122,8414252,12445940,17625918,23973891,31469701,28890667,28890671,30161581,23985240,17639535,17639479,17639481,17639501,17639502,17134408,12041461,11742124,7839675,4976533,4976536,7839687,11742149,16793583,23038198,21755676,15701422,15701420,21755665,29049505,30883608,39489797,36637418,28162454,20982560,15070280,10393514,10393513,15070275,20982552,28162438,36637393,46504643,57860734,49371201,39442934,30838864,30838863,31026765,37597524,36739745,30741022,30741023,39339790,49265818,50192832,50192831,50199509,50194316,42367554,33378670,25613390,25613391,33378658,31472645,23976532,17628978,12449932,12449936,17628988,23976550,22870105,22870107,30266759,28497351,21279848,21279850,28497357,36994865,37412340,28870983,28870981,21595961,21595960,17645881,12472514,267845666,23990636,31487662,40172709,33457369,33457368,37597547,47501446,37718876,37718875,47640845,58602108,58602110,47376237,37469458,33088745,33088746,38433997,38433998,48338020,59716449,48696411,38774163,36637038,28162183,28162185,36637040,39340871,37824782,255187776,15850607,15850608,16558212,11541524,11541526,16558217,22772635,25889168,25889165,23614992,23614991,22772894,22772895,30161695,37305565,40158212,37305163,28771650,21510528,21510529,15501292,15501295,17191106,17191107,15187390,10475892,10475891,15187386,16642226,11610115,7729916,7729917,11610121,16642239,18776906,18776909,23993133,23993132,23986837,17640978,12465448,8434198,5445207,5445208,8434200,12465451,16642259,11610132,11610134,255501771,22772919,22772918,30161736,38744896,38744905,48666120,48214383,38304279,256027836,22378404,29736303,36589689,29736091,29736090,38304084,46455878,40164852,40164853,40291277,32107382,24530943,18098565,12832295,12832296,18098568,24530951,32107413,38303835,38303836,37824987,31504329,24005700,17660281,17660280,24005693,31504319,29735893,22378045,16221785,16221786,16314336,22486753,17581095,12409051,11350402,11350403,16314029,22486355,29851814,32049039,25358392,18776017,18776016,25358389,33091469,256121364,58365049,46994984,37109757,37109756,37109763,46995007,46994823,46994822,57697393,46348173,36490461,36490460,46348171,57697390,70391301,83917392,97775518,111696969,125502764,138834624,136804963,136804962,122974028,108708554,94421493,258221370,66942369,258460587,53496207,43017916,256173345,26123057,33960748,43017919,53496212,65519669,63784261,51969072,47288793,37379228,28839066,21567557,15545367,11374662,7561386,7561387,11381140,11378891,7559764,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,12156049,8186451,8186450,12156048,8205175,8205176,12172875,11637111,254759918,255158074,10980942,254638704,17295896,254201468,11376246,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,7915509,11377353,16349988,22523059,21568683,17587898,12414611,8390926,8390928,12414616,12350931,8344571,5385881,267828322,12136572,17256561,22514542,29872747,29884898,22530696,22530697,254167172,16337681,22511492,23635648,23636003,17320317,12195445,8225711,8225712,12195450,12211218,8241999,5313736,3263059,3263054,5313738,8242004,11350880,7542189,4770638,4770639,7542190,5289351,5289350,8219301,12188897,17313285,254264986,29854589,22489471,16316562,16316563,22489473,29854591,38417403,31122143,31122142,38423210,29857104,29857105,29413426,22492622,16319261,11353700,7543741,7543740,7542587,7542586,11351594,13317646,16308792,11355550,7544721,4771906,4771907,7544726,11091345,7355784,4646580,4646581,7355786,11091351,14570482,10026337,10026339,10588270,6984656,6984655,10588266,13691777,9376812,6142659,6142658,9376806,13691765,19173401,21297461,15330100,15330096,254577434,22475660,21295640,15328767,15328768,21295643,254839876,254579590,7543400,11353095,16318324,254834748,12140931,12140930,17261240,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589701,10026550,14570842,20303661,22490597,22490596,23570624,20303731,14570889,10026577,6589714,4128442,4128443,6589719,10026589,14570910,20303759,22023329,29354337,28315323,21105236,21105235,28315320,29356202,22025693,22025692,29356198,22524188,21923747,15838074,10975305,10975306,15838080,21923751,15995136,11103792,11103790,15995133,22106365,22473375,17273393,12152645,8183027,5252773,3209784,1879960,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556143,11373837,12071600,12071604,17168369,17321403,16341683,11370432,11370434,12168276,12168278,16307192,16307190,22477879,16342280,12157717,12157715,12157703,12151367,8181572,8181573,5251233,5251229,7553985,11370541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2862756, s2 = 9692996, dlinesl.size( ) = 2 s1 = 2862756, s2 = 9692996, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2862756, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 6598029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6598029, s2 = 6831604, int(edited[s2]) = 0 s1 = 6598029, s2 = 6831604, d1 = 10, d2 = 11 Dl.O(d1) = 256390898,29997592,29997593,29429410,29429409,37991388,41045349,47961744,59352377 Dl.O(d2) = 258983986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6598029, s2 = 6831604, dlinesl.size( ) = 14 s1 = 11659692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659692, s2 = 14116050, int(edited[s2]) = 0 s1 = 11659692, s2 = 14116050, d1 = 5, d2 = 0 Dl.O(d1) = 29488277,38051914,47965070,59356126,258116765 Dl.O(d2) = 72089647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659692, s2 = 14116050, dlinesl.size( ) = 2 s1 = 11659692, s2 = 14116050, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659692, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2540322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9436854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2196683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163549, s2 = 15545308, int(edited[s2]) = 0 s1 = 14163549, s2 = 15545308, d1 = 15, d2 = 11 Dl.O(d1) = 60758875,73508030,87126871,258774758,113879131,258393406,72310129,256634626,38279755,29713225,29713226,256119404,48189083,59575405,59373358,47983387,256386051,22167239,16044338,11140407,11140409,16044341,22167244,27960592,20798813,14905569,10248611,10248610,14905566,20798811,27960591,255781058,28220814,27037510,20144586,14450065,14450064,20144584,27037508,21474137,21474136,28731618,36444760,27985320,20820549,20820550,27985322,28472075,21252033,21252034,15287052,15287051,16802494,11749029,7844396,7844397,9714622,6390976,6390977,9714628,14120329,14531458,15445880,21441347,17993988,17993989,24395558,31931477,40651695,50716650,62242921,75070289,88128295,74516137,74516138,61734638,256203852,31551021,24047245,24047244,28749716,21490325,15484713,15484714,21490329,25969698,31551017,24047242,17694428,15623581,255418045,15623583,255418047 Dl.O(d2) = 261702570,125408952,259976104,83833726,70308580,57617936,46273398,256376524,21578031,15554769,13659057,13659058,12011284,12011285,17097846,23367071,30793252,34616513,34617175,26627572,26627573,34616077,26626456,19815909,19815908,26626867,256175575,19459398,13926126,13926129,19459402,15891942,15891940,21988428,29316752,33628926,29865720,22504799,16330803,16330804,22504801,29865722,38428028,48333282,50402844,46927985,39098432,30502511,30502510,39098429,39098434,49027332,47968986,38055776,29491759,22152839,16032825,11829053,11829052,16903093,23165769,22190257,22190258,29533214,38097235,35168110,27080238,27080239,29880751,29803778,29803776,29911611,28239801,28239800,36734738,30583740,23165834,16903137,16903136,23165832,26957330,35037306,28239520,21040877,21040878,28239526,29262660,21941202,21941204,21941207,29262669,30763206,29877843,22521190,16348002,11375562,11375563,7557377,4778811,4778812,7101588,4471236,2686379,1556152,884735,499213,499216,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049213,15926101,254392090,5385525,5385524,8343924,12349909,17513505,22511796,22500640,267907886,11379609,11379608,16352835,22518130,16344766,11372826,11372825,9930117,6526097,6526095,9930111,9930196,14435854,9930197,268048503,20127758,17237047,12119821,8151327,5222568,5222567,5264318,5264320,7489817,7489819,4779814,4779815,7558972,8186328,12155866,17276296,23575008,23574998,20124717,20124718,27016559,22513348,22513347,16803894,16803893,23049489,22031257,22031256,23632755,23632754,29847475,23635384,17319549,12194688,8224903,8224904,12194693,14433310,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226192,8226097,5296646,3247562,3247561,3143685,1838710,1838709,3143680,5160427,8066611,12009336,17096047,23365146,23642486,22493621,22493619,25152047,23613300,23613175,17300100,17300101,17300235,21511235,21511236,17235650,12117321,8148278,8148277,12117314,11359207,7546893,4773061,4773058,7546928,11359267,16327530,22494529,17327138,16315235,11352015,11352013,16316621,16319577,22492958,22492948,22492949,29857220,38423277,41968398,33025428,25299225,18724664,18724663,25299222,22499241,16325019,11357401,11357399,16325016,22499239,29857939,22493861,16320326,16320325,16325014,16341085,16341084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163549, s2 = 15545308, dlinesl.size( ) = 2 s1 = 14163549, s2 = 15545308, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14163549, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 6654074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10182756, s2 = 13267716, int(edited[s2]) = 0 s1 = 10182756, s2 = 13267716, d1 = 18, d2 = 9 Dl.O(d1) = 114255557,114255558,127538479 Dl.O(d2) = 47690293,37768959,29207374,29207375,37768961,47022644,37134672,28622199,21384906,15401613,10645180,10645181,15401615,21348090,15444967,10678260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10182756, s2 = 13267716, dlinesl.size( ) = 2 s1 = 10182756, s2 = 13267716, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10182756, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 8242879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8164357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8164357, s2 = 9141250, int(edited[s2]) = 0 s1 = 8164357, s2 = 9141250, d1 = 2, d2 = 5 Dl.O(d1) = 1372170,2370328,2370312 Dl.O(d2) = 1372166,1372165,2370307,3884237,3884236,267736838,13801504,19302747,25969276,33779477,25969274,25969273,33779475,42812108,53265182,43221275,34133482,26267017,19546568,19546569,26267019,34133483,37190223,28668640,21422120,21422119,28668639,37190221,47085804,58463958,58463956,47085802,47085803,58463957,47951997,38038531,29475614,22138807,16021847,11124261,7378502,4661432,2808306,2808305,4661430,7378501,11124259,11124053,11124054,16021533,22138411,256923488,22138408,22138409,29475148,38037978,47951374,258115805,72132330,85716877,99664359,113676944,99664351,95533756,85716872,72132327,72132326,85716870,99664352,113676946,127547610,140902261,153575943,153575945,165364693,165364691,153575944,148456904,260925898,123534862,123534861,109343142,95088985,95088986,95088987,95088983,95088984,81030789,67561624,258697500,59997215,48605718,38690254,30114410,255815750,4848144,4355089,2608749,2608753,4355101,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579671,12636388,17844357,24106365,254692176,14198351,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,7086580,7086579,10725772,15508763,21520259,22582087,23178651,16914874,16914575,11837630,254826515,5182496,3161955,1851008,1056387,593964,331108,267737587,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838680,11111454,10775690,7119786,6079909,3804339,2278861,2278865,3804352,6079941,254929963,13557255,18997331,25610157,255302616,256182358,77868342,91790962,83948226,70421414,57726356,46376028,36516746,36516747,46376030,57726359,66911856,54655072,43912365,34638944,26647377,19833806,14208185,14208184,254954582,26647373,26195573,26195574,34050118,43126144,53627300,256701814,93146041,79028316,79028315,93146040,270353452,257595062,58436626,47061173,256498192,255544798,254833500,4429943,2658992,2658993,4429946,4407054,2642799,1527021,877455,865828,491039,275768 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8195098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7635125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7635125, s2 = 8195099, int(edited[s2]) = 0 s1 = 7635125, s2 = 8195099, d1 = 11, d2 = 7 Dl.O(d1) = 270318992,59404367,48017431,38107278,29544074,22200862,22200861,29544073,38107275,38107276,35231200,254768118,20240089,27150678,33038039,25310775,18734279,18734278,25310773,33038037,41981439,49071340,49071339,59767867,48385057,48385056 Dl.O(d2) = 41615113,32710467,25025363,18494060,13139032,8954798,8954797,13139029,18494055,25025350,26952750,26952751,35032999,257306379,67597115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7635125, s2 = 8195099, dlinesl.size( ) = 2 s1 = 7635125, s2 = 8195099, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7635125, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 8193444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13595317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342903, s2 = 8539021, int(edited[s2]) = 0 s1 = 10342903, s2 = 8539021, d1 = 7, d2 = 17 Dl.O(d1) = 255811218,30098255 Dl.O(d2) = 140949280,153615924,261713571,261713569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342903, s2 = 8539021, dlinesl.size( ) = 20 s1 = 4464172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9448035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9448035, s2 = 8364570, int(edited[s2]) = 0 s1 = 9448035, s2 = 8364570, d1 = 127, d2 = 108 Dl.O(d1) = 59460849,48070230,38157688,29591459,22242994,22242995,256935323,256935325,59460850 Dl.O(d2) = 88447337,74815103,62018702,50526949,40491338 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10167445, s2 = 7556523, int(edited[s2]) = 0 s1 = 10167445, s2 = 7556523, d1 = 50, d2 = 47 Dl.O(d1) = 255461563,4700272,4700270,7438565,11210909,16138607,16102778,11198344,11198345,16120731,22260476,29610881,38177746,48089474,48089476,257457374,85809784,85809788,72216005,72216004,59478961 Dl.O(d2) = 267853168,32324769,255221860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10167445, s2 = 7556523, dlinesl.size( ) = 8 s1 = 14163610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2204786, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8622390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8622390, s2 = 11079952, int(edited[s2]) = 0 s1 = 8622390, s2 = 11079952, d1 = 28, d2 = 14 Dl.O(d1) = 268449410,38072515,38072516,40110411,31430921,23939765,17595672,17595671,17599439,17599438,23944350,28136491,28136440,28136439,30596603,30596604,255161998,22351923,29707045,28308002,21098156,267798540,22526985,29882361,38440015,29882008,23607634,254265786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,22528545,22514041,17338295,12212360,12212359,11369344,11369343,7553301,4776572,254265162,1670747,1670748,2878824,267888190,11369576,16340639,17256592,23566133,23566134,29859757,29859758,268250640,254585468,38420952,29853144,22487673,16314993,16314994,18710784,13317637,13317636,16314872,16314873,12211229,12211230,15546278,15546277,21568516,28831590,28831589,28942859,30791093,23365105,23365103,30791089,23660416,23660417,21080813,15142415,10443626,6884797,4321887,4321884,6884785,10443603,11284170,15978042,11091865,11091864,15978033,21295544,22491462,16318169,16318170,21296928,15329718,15329717,21296926,22472519,16302945,16302944,22472515,29840063,31119080,31119079,29845032,29845033,29884405,29839898,22476277,22476278,22483832,16312119,16312120,17302333,12180276,8212041,5283155,3236207,1898473,1898475,3236211,5283161,8212054,12172343,12172342,12200479,12200480,13330547,13330545,18725793,17512977,17512976,20127185,20124799,20124798,23602705,20124724,14432975,14432976,17096127,12009406,12009407,12212406,12212405,16322680,16322681,22496637,16803701,11750098,7845263,4979948,3008193,1747502,993747,993746,1747501,3008191,4979945,4980064,4980059,7123913,7123915,10451584,6889742,254230892,267886894,11918214,7972984,7972982,11918210,17004944,23268457,25488917,33238237,40452872,255174236,254593328,9950840,6539944,254978803,12391102,12391103,261295365,155756409,274268080,165465577,153686357,272210471,99790424,85837639,258129171,59511143,72245686 Dl.O(d2) = 268943429,29646795,255462353,4703703,2833625,2833626,4703704,4703715,7444509,11219802,16149766,22294808,22293606,16148854,11219194,11219193,16148853,255454138,256304208,29646231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8622390, s2 = 11079952, dlinesl.size( ) = 32 s1 = 7179355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7179355, s2 = 7813718, int(edited[s2]) = 0 s1 = 7179355, s2 = 7813718, d1 = 17, d2 = 34 Dl.O(d1) = 263635237,263635239,193863862,263150644,259377238 Dl.O(d2) = 3400633,2004967,2004965,3400621,5513518,5502190,5502189,8500518,10709886,15487574,12614375,12614374,10709891,10709894,7075551,4454566,4454565,5538688,3424134,2022908,2022907,3424132,4454586,4454587,7075600,10710158,15487955,21494052,22797410,17449659,12300649,8307959,8307961,12300656,12300840,17449957,23779985,31265064,25889424,24280674,24280672,31154526,31154525,31636921,24129796,21492755,15486780,10709339,10709338,15486776,17744445,12555288,8512444,5511579,3399185,3399184,5511574,8512441,12555284,17723188,12538984,8500274,5501920,3391506,3391508,5501925,8500284,7015703,5503340,3392524,1999359,1142792,1142791,1999355,3392517,4012275,4012274,6393553,9718817,14126628,11147533,8512539,5511619,5511618,8512531,10437634,10709457,10709455,15486955,21492954,17439569,12638655,8581040,8581038,12638651,17740195,17901689,17901668,12681373,12253053,12253052,12253147,17388137,17388136,12550972,8509872,8509871,12253470,12253469,17388557,16622077,16622079,22845313,24100041,17741417,17741419,24100048,17847581,12638878,12638879,17847583,18931950,13496657,13496656,18931946,24085012,17727722,16467977,16467975,17727473,12542020,12542019,9718824,9718823,14126641,17770535,24134274,24099983,254446410,24099999,17741366,12553032,8511091,8511094,8302911,5357000,3292807,1936546,1106129,1106128,1936542,3292793,5356973,254413294,12293414,12293413,17439874,23767845,31252149,31251918,23767479,17439485,254400158,8302755,8302791,12293168,17439453,12293091,8302741,8302744,10711550,7076490,7076489,10711544,15489824,17450329,12301104,12301106,11651290,7763269,7763271,11651298,11651343,7763295,7763293,11651334,16690241,17415855,254269300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7179355, s2 = 7813718, dlinesl.size( ) = 20 s1 = 16204839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8024398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8024398, s2 = 7869625, int(edited[s2]) = 0 s1 = 8024398, s2 = 7869625, d1 = 84, d2 = 108 Dl.O(d1) = 258239045,87633192,272612530,257673072,17089408,23357801,255420690,14571396,10026874,6589867,4128512,4128513,6589871,7352267,4644169,4644171,7352253,11086752,15971994,22077714,27233767,20304490,16303979,11993434,8045065,8045066,11993437,17081267,23348526,21093225,15151260,10449272,6888446,254719581,11923164,11923163,15832475,10971826,7262375,4580114,2755612,2755610,4580111,7262369,10026948,6589904,4128531,4128530,254697047,14571525,20304722,23332527,17065976,11975410,11975411,13175991,18543611,13176564,8981943,5863972,3660955,2190351,2190349,3660946,5863945,8981890,12177583,17299624,17616445,23966637,254744164,29671258,22320050,16302860,11343460,11343459,8982068,8982070,11851990,8209144,8209143,12177527,17299253,12177360,8981780,8981782,13175815,12177311,12177313,15041363,15041364,16336025,11366114,11366113,8209073,8209074,12177391,16352396,11379285,11379284,16352393,22525345,29881061,37884776,29315857,21987544,21987546,28118734,36591626,46438007,36573176,28101760,255093862,29867428,22507519,22507521,22793463,25284250,18711307,17088792,12001277,12001276,17088789,15129570,10435226,10435225,15129568,16577060,16577059,22793464,23612695,17299586,12177557,12177556,254741202,11284743,7491769,4735307,4735308,7491771,11284746,16232183,17845302,22780452,30169388,23721070,255167139,1103207,1931093,3283444,5342103,8279767,12260107,17397239,23721110,18815542,18815544,25405529,33145720,38009498,29447276,22113796,22113798,29447278,38009391,46391166,38833194,30249570,28984591,28984592,36530842,29956162,22591866,22591865,29956160,38521132,48332380,59717753,255115284,52452546,49282932,39355814,39355813,49282931,58275067,60793261,49392670,39464246,36923676,28425164,28425163,36923674,44498773,46909923,58275015,254796498,60111076,58169357,48716419,38795227,33549230,25760232,19121262,15181012,15181013,15236503,10510789,6931125,6931126,10510792,15236507,254779810,36923662,36923663,38795206,36923683,28469014,28469015,36967693,29746445,29746446,28535247,21312569,15342351,15342350,21312567,23927629,31417598,254854676,22387210,23927486,23927487,29746521,38315160,47307001,37397729,28856931,255115392,38521166,38521165,255180342,38315269,29746625,29746626,38315270,38105606,29542314,22199027,22199028,29542316,31333595,23841740,17501191,12340362,8336937,5380935,5380934,8336935,12340356,17501179,23841721,29649460,29649459,38215836,48126079,59513617,72247997,85839799,99792440,113806195,127674057,141022054,129083870 Dl.O(d2) = 256482174,255146616,254570533,3135163,3135164,5150864,8058947,8028851,5142472,5142473,8037186,5127337,3116199,1821113,1039651,585480,585481,1035144,1035145,1812693,254381213,5115444,5097262,5097264,5123929,3150525,3150523,5151003,5172680,5128309,3116979,1821591,1821594,1817101,1037556,1037554,946690,946689,1663893,1049181,1047799,589550,589549,946515,1663610,2866331,3157255,1849070,1849071,3116445,1821263,254256439,254568675,11986565,254780551,2867510,1664272,1664273,2867511,1832166,1832167,3133839,5149384,8057874,12003492,254780749,4760792,4760790,7527469,11328436,7524930,5150991,3135281,1833120,1046167,1046166,1833115,3135279,3116995,1821595,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591190,1051103,1841821,1841657,1050948,1050949,1824242,3121173,5133625,5162188,5162186,8068095,8017172,5105675,3099575,1810986,1810985,1054470,1054471,1847752,1844548,1844547,3152520,3115354,1820602,1820603,3115358,5126341,8036365,7526525,4759949,2870413,1665876,947626,947627,1665882,1821073,1818745,1051570,591410,591411,1051577,1842749,3149741,3158045,3158043,4761790,4761791,3156408,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314639,561886,997634,1753488,1837449,1837450,1844460,1844461,3152392,5170383,254817208,1841908,1841304,1831479,1045239,588308,588307,1045237,1831475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024398, s2 = 7869625, dlinesl.size( ) = 100 s1 = 2548999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8052738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6544301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6544301, s2 = 7044019, int(edited[s2]) = 0 s1 = 6544301, s2 = 7044019, d1 = 81, d2 = 71 Dl.O(d1) = 255798342,71515489,58785438,47397437,47397438,58785442,64731644,52815648,255009966,25653766,19034804,13587060,13587061,10299279,6771908,6771909,10299281,14967012,20869266,22318741,29670004,255795634 Dl.O(d2) = 261769260 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13477833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8539917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2551212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2551212, s2 = 14089784, int(edited[s2]) = 0 s1 = 2551212, s2 = 14089784, d1 = 6, d2 = 10 Dl.O(d1) = 72292073 Dl.O(d2) = 95177671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2551212, s2 = 14089784, dlinesl.size( ) = 2 s1 = 2551212, s2 = 14089784, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2551212, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 2208326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2208326, s2 = 7087111, int(edited[s2]) = 0 s1 = 2208326, s2 = 7087111, d1 = 35, d2 = 203 Dl.O(d1) = 59569551 Dl.O(d2) = 262365055,178174465,264184772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2208326, s2 = 7087111, dlinesl.size( ) = 66 s1 = 13722399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2209205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3171990, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3147484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6811168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10203895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10203895, s2 = 8249346, int(edited[s2]) = 0 s1 = 10203895, s2 = 8249346, d1 = 15, d2 = 19 Dl.O(d1) = 85926431,99881844,99881841,271354208 Dl.O(d2) = 85926434,85926435,85926421,72332566,59597363,59597362,72332564,85926417,99881835,113900477,260040722,86472985,72877415,60140691,60140692,72332575,72332576,258136069,59597361,59597360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10203895, s2 = 8249346, dlinesl.size( ) = 10 s1 = 11655774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655774, s2 = 15556619, int(edited[s2]) = 0 s1 = 11655774, s2 = 15556619, d1 = 7, d2 = 5 Dl.O(d1) = 256364413,47693710,255706298,30854412,256175120,22862416,22391016,22391017,16610975,16610974,17662856,17662855,256029125,38356506,29783973,255940781,16606575,11582014,7709074,4878837,2939746,2939747,4878844,7709091,11582048,16606622,12317374,12317375,17471024,22831138,16609963,11584819,7711001,7711000,7711224,7711225,11109988,11110002,11584467,7710758,4879886,4879885,7710750,11110216,11110217,16003316,11584519,7710803,4879925,2940369,1705110,969277,969274,1705102,2940357,254349974,4646487,7355657,267981643,4879399,2940067,1704933,1704932,2940064,4879393,4880312,4880313,7711399,7709942,4879379,4879377,7709932,11583257,16607977,16610547,16610548,22831654,22831756,22831754,22082619,22082620,29413029,37976389,47894158,268113956,33066955,33066956,42011086,48214616,59601909,72336912,85930872,99886219,256731832,103458740,90452719,76594765,63515538,51737770,257746429 Dl.O(d2) = 84074270,84074271,97948116,111885740,123249983,260156662,260567844,133015595,119180669,104985800,257490848,90808115,257490850,76931941,76931937,76931938,90808111,104985796,119180664,133015591,136186635,122222173,107816197,93394033,93394034,93394032,79267634,65905411,53838590,43314478,34216738,26343199,26343198,33990286,26149354,19451263,19451264,15502910,254736939,4459353,2678902,2678901,3986995,2389553,2389554,3986999,6354499,6353858,3986649,2389370,1383141,786849,445811,250930,138474,138473,250925,445835,786893,1383221,2389533,3986954,6354420,254956791,14054848,19611183,19611182,26339644,26340332,34213916,34216390,32780350,25083005,18539046,13172794,8979616,8979615,8980004,5862875,3660326,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,5207997,3177420,3177422,4939297,4939299,7790237,11682452,15850287,14946875,14946876,12649661,8588632,8588631,8133508,8133507,12094348,10782964,10782967,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660822,5953353,3723082,3723085,4766770,4766774,7535515,8190252,8190254,11339804,15597732,10790176,10790178,15597739,15587851,10783262,7124917,7124918,7124947,7124779,4485831,4485833,7124782,7124835,10783131,7585717,4798017,4798018,7585721,11414517,11512850,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14605813,10050275,10050276,10050313,11340064,11338776,11338777,7535862,4766947,2873533,1667727,948642,534818,534819,948648,1667613,1667611,2873312,4766461,7534946,11338608,14216612,19843922,19541930,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787283,10787280,12385034,10019245,10019244,14560297,20290843,20344642,21219185,16525178,16525179,22730440,22893017,22809359,22809360,20961320,20354292,14610461,10053360,10053358,14610452,20293608,27222051,28052944,27279429,20857936,14956673,14956674,16433597,17451483,22720065,18222222,18222221,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953377,3320882,5401239,8368989,12384969,17555557,23900412,20960886,20960885,21629309,20350936,254155706,10051455,14607542,16211853,254776385,7480960,11269512,16211857,22365614,255001018,22559867,22559866,267958084,15048891,20957828,20350182,14606867,14606866,14902305,14902304,20794740,21621701,20960705,15051350,10377484,6838019,6838016,10292644,10292645,10377382,10377381,14600370,14600371,15051537,15051534,20960880,16525677,16525678,12643369,8584691,6512566,6512564,254975409,5099092,3094972,2735524,2735522,4550790,7222666,7231902,10922441,10922442,8009966,5099140,5099139,4552020,2736376,1585530,1585531,2736379,4552025,4558465,254230707,1588411,2740988,2736936,2736941,1588704,1588701,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,1585635,1585638,1588622,1588623,2741339,4558946,7227868,4554938,2738417,1586723,901991,901993,1586718,1585249,1585247,2735915,1587376,902373,902374,903076,903075,1588637,2741375,4559003,4556636,2739679,254342847,4557941,7231442,10928436,10931994,7232904,7232905,7231752,7225893,4553471,4553470,267886769,4556516,7229627,7224763,4556927,254513461,4553144,4553145,4557729,7231241,10930433,15779128,21849934,29158336,37718253,47640269,258715373,99317987,87032010,73414539,60667374,49267333,39341577,30742562,23321715,17056486,17056487,17056484,17056485,23321717,30742563,39341580,49267336,49267337,258212039,87032019,101028335,115102578,129031238,134883790,134883789,121081617,121081615,121081608,106821669,106821670,92509894,92509889,78470143,65186073,65186072,257827796,71123568,58405795,47033516,37144763,28630960,21392230,15407422,10649705,10649704,8720657,8720659,12826311,9213438,9213439,13471850,18349553,267941372,18261034,13359333,13359332,18761015,254212212,13109057,8934339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655774, s2 = 15556619, dlinesl.size( ) = 2 s1 = 11655774, s2 = 15556619, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11655774, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8387369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8012043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13483549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13437771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15271974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2558937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3177326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13203063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13203063, s2 = 736259, int(edited[s2]) = 0 s1 = 13203063, s2 = 736259, d1 = 42, d2 = 40 Dl.O(d1) = 29852543,30740998,30741000,35364318,31020097,23538993,17231003,17231001,22377857,16221677,11276798,11276797,16221674,22377846,21837147,21837146,29144765,31468104,23972489,17624213,12443707,12443706,17624204,23972468,31468074,40151916 Dl.O(d2) = 40168550,40168549,50192702,49358899,49358900,39515642,39515641,38304254,38304253,48214363,39339874,30741077,267990708,48214934,38304954,29736990,22378944,16222360,255468683,24530872,22864693,16637437,16637438,17094025,18510382,24531002,24531000,30260713,30260712,29851298,29736600,29736601,26312586,19587469,14033559,14033557,19587457,26312566,34184260,36630794,36630795,46497521,52382900,42038920,33090899,25357838,18775444,256120869 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2560174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9344728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7827748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3449821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6812405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9385984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9385984, s2 = 16397482, int(edited[s2]) = 0 s1 = 9385984, s2 = 16397482, d1 = 13, d2 = 8 Dl.O(d1) = 61402485,49922759,39903080,39903081,39903078,31226318,30371190,255509148,255370333,10373474,255008367,20955007,28132809,36606621,46472863,47879565,37961727,29397313,268938381,42285823,33305671,33305673,37966441,29402334,22071895,15966875,15966879,22071907,29402349,34583011,34583012,29381688,29381687,33302470,33302469,42283396,52670160,42759752,33729881,33729880,42759750,53209423,65195149,78479537,78479538,85605456,85605454,72016728,59279653,47883114,47883113,59279639,59279638,59507861,48120367,48120336,38209876,29643212,22291304,16146877,11217740,7443205,7443206,11217742,16146880,11217745,11217744,16146865,254772157,7443200,11217732,16146867,22291287,17406034,12266612,12266611,15072810,268169712,23730819,255733436,29643196,29643195,38209856,33727636,33727635,42757215,38598610,30025895,30025894,38598604,38598603,47980577,38068396,38068395,47980576,59370826,72103521,85689390,99638324,113651576,115980896,115980895,127522823,125431913,125431915,115061173,100990866,258628118,73382919,86998107,97706988,83847568,258183952,268962874,49194473,39268291,39268290,49194472,55736731,44828990,44828991,47020315,58391505,47020328,47020329,47020309,37132865,256860927,47020333,269311626,268612198,15400785,15400786,21383792,268612657,37132834,28620737,21572117,21572118,28843645,21572135,15549417,10754339,7105030,4473207,2687434,2687433,4473205,7105026,268073739,21572123,28843648,268924065,58391501,58391502,58391515,47020339,47020338,58391514,270289853,260522379,114699473,100654355,86681710,86681711,86681715,100654359,260024876,141957082,261202668,261202666,261228379,114699457,114699454,261075928,259894658,99663184,259778755,95068485,109323566,123514861,137244961,150284823,137244964,137244963,150283963,145130760,131873922,260212407,89806702,103708909,103708910,259739624,115974098,115974099,259739626,137243706,127651027,260476606,131425641,131425642,137244052,137243778,259461870,100953505,100953504,95067671,81008626,81008625,95067670,109322468,123513638,123513830,115007690,100953502,86969380,86969378,100953499,115007681,103708780,89593184,89593183,101163752,101163753,112348815,109322314,109322313,120910556,117624674,117624675,108691879,94404694,94404695,108691880,259395306,114149367,100115728,86149812,72551636,72551635,59816471,48430598,38522888,29957821,29957822,29996923,38567390,48480764,41134863,255265012,41134865,32321150,24706644,18235559,12934718,8799453,5731823,5731824,7651425,4841124,2917321,1692290,1692291,2917325,4841129,7494725,11288160,11502833,16507178,22711287,30092917,38664105,30086772,22704855,22704856,27237074,20307231,20307232,22713248,22704246,16500479,11497084,11497086,16500483,16509989,22714167,22704756,22704757,30086667,30095407,38672643,41224997,41224996,51422010,42264708,33284888,27262903,22706607,22706606,22703364,16501643,11497950,11497949,16501642,22705657,25525040,30087568,38664932,42043011,42043012,49235081,49235082,60635781,59761286,59761285,257502740,29440538,22107150,15995847,15995849,22107156,29440543,38003564,42509849,36991078,36991079,46869757,46318601,36465764,255995998,14942719,10277358,6754217,4232277,254704833 Dl.O(d2) = 28561227,28561228,37062491,46941416,58307826,71011061,58296139,46930381,46930382,58296141,65220728,78509662,92555740,106874808,106874809,121143112,134953629,141027598,127679774,113811960,260468292,99797949,85845226,85845227,259995953,99797945,85845221,72253721,59519753,48132470,38222373,29656418,29656417,38222372,258130003,85845223,77766852,77766853,91694513,105902009,120114093,127679773,130334898,116498289,102402941,88402081,88402080,102402940,116498291,259667131,91676945,91676947,77749977,64567406,52666827,42279471,42279472,33298122,33298123,33298119,256134183,256134181,33298128,25536193,25536194,25536188,18924597,13491376,13491377,268494781,42279475,52666830,64567409,77749978,91676949,105883733,120095313,113997251,99973533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9385984, s2 = 16397482, dlinesl.size( ) = 2 s1 = 9385984, s2 = 16397482, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9385984, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 2562322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2562322, s2 = 14061630, int(edited[s2]) = 0 s1 = 2562322, s2 = 14061630, d1 = 30, d2 = 45 Dl.O(d1) = 72501437 Dl.O(d2) = 115199964,261355278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2562322, s2 = 14061630, dlinesl.size( ) = 30 s1 = 8354677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2562970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2562970, s2 = 11658609, int(edited[s2]) = 0 s1 = 2562970, s2 = 11658609, d1 = 5, d2 = 6 Dl.O(d1) = 72529392,59794146,256960147,22576800,268642425,59794143,72529390,86128837 Dl.O(d2) = 72529389,59794142,59794143,258773567,258773569,256960145,22576800,16393868,11410076,7582059,7582060,9117122,7582439,4795974,4795973,4906904,2957571,2957572,4906909,7748222,10349185,10349184,7731522,4894504,2949666,1710619,972226,972227,1710623,2849067,1712761,973293,973294,1712764,2808517,1629279,1629282,2808527,1629296,926450,926449,972882,972883,1711923,2950408,1712033,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898674,4809657,254692249,4099439,2452272,1417718,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453063,799321,1404454,2427760,4055929,6472186,9853077,14341709,16393867,22576799,256411442,35124786,27037671,21716015,15672632,10849940,7172928,7172929,10849943,15672636,20833517,27997804,36456209,46309017,258249534,41020544,257720647,258332933,89565547,103678597,117830232,131656126,144903185,157316963,168757956,168953621,157487313,145050464,259587282,117960077,259587280,157487312,157487345,145050487,131789595,131789594,145050480,157487339,168953650,179243787,188298497,188298501,188298500,262876532,208473426,208473427,213154359,216981703,216981710,213154366,208473435,202794033,196031959,188132167,179067403,179067401,188132161,263296102,196184500,188298465,188298464,196184498,196184523,188298486,179243779,168953639,157487328,145050472,131789588,131789587,145050469,157487322,168953634,179243768,188298471,188298491,188298459,179243751,168953614,157487311,157487312,157487345,145050487,131789595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2562970, s2 = 11658609, dlinesl.size( ) = 2 s1 = 2562970, s2 = 11658609, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2562970, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7662221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2220660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2220660, s2 = 627798, int(edited[s2]) = 0 s1 = 2220660, s2 = 627798, d1 = 11, d2 = 1 Dl.O(d1) = 29947638,38511312,48417245,59802208 Dl.O(d2) = 34130435,34130436,38127389,29561851,22216294,16084532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2220660, s2 = 627798, dlinesl.size( ) = 2 s1 = 2220660, s2 = 627798, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2220660, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 9668085, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6877271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6651687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2222040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2564923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2222275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2222275, s2 = 14352147, int(edited[s2]) = 0 s1 = 2222275, s2 = 14352147, d1 = 93, d2 = 94 Dl.O(d1) = 128055251,114165759,100132303,86166627,72568478,59833004,48446578,38537946,38537945,38537947,48446580,59833005,72568481,86166628,100132304 Dl.O(d2) = 6342260,6342261,5561728,5561727,8353682,9348957,13568421,19011166,256139401,268502083,25789028,25655093,19036314,19036315,25655094,19036967,19036966,19124984,19124986,23411082,17136002,12042629,12042630,17136003,23411083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2222275, s2 = 14352147, dlinesl.size( ) = 38 s1 = 6864340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6864340, s2 = 2065089, int(edited[s2]) = 0 s1 = 6864340, s2 = 2065089, d1 = 10, d2 = 5 Dl.O(d1) = 259402894 Dl.O(d2) = 53889611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6864340, s2 = 2065089, dlinesl.size( ) = 14 s1 = 2223406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658394, s2 = 16197987, int(edited[s2]) = 0 s1 = 11658394, s2 = 16197987, d1 = 15, d2 = 5 Dl.O(d1) = 264492809,264982097,219117014,221940612,224365126,226470823,228304854,229914303,231266490,229829265,228211385,226368997,224253409,221813394,218968928,215598624,211520914,211520915,215598626,218968930,221813395,224253411,265705959,229829268,265964445,226084153,223940294,221463827,218574326,215141675,264939701,215141673,218574324,221463826,223940292,265683539,229591302,231048681,274624773,231048680,231048679,232356626,266189482,230886696,229409494,227745971,225850044,223676272,221167538,218238055,214751220,214751219,214751221,218238057,214777121,263012556,191697156,183088982,173238620,162139445,149927874,136792261,122961963,108696739,94409582,256722058,66929094,54672476,43930238,38573279,30002587,22632882,16445515,11458323,7621472,7621473,11458326,13194196,8994630,8994629,13194194,18567175,22825978,25117971,21426678,15434359,10670129,7047209,7047210,10670132,15434366,18555166,18555165,25103954,22632924,255726664,31047836,31047837,34657287,34604875,34604876,41204882,32384547,24764089,254963572,255727530,60476139,49072826,256185290,30543854,23125254,23125255,28971467,28971466,37514886,29812700,22445271,22445269,23321708,19453593,13921390,13921389,9661267,9661269,13442991,13259717,13259718,15477848,17056355,17056356,21839742,23321723,17056492,15770146,11965861,11965862,17056955,22915912,17421393,15797084,10945415,10945413,8010115,5099253,3095081,3095080,5099249,8010105,11965908,10932160,10832198,10832196,15649928,21689378,26215207,21838491,15768954,10922546,10922547,15770217,17056252,17056251,255304982,15770191,11965515,255143919,11965181,17056319,21126748,21126749,17056793,11965658,11965659,17056795,21871136,15797110,15797111,11644859,11644857,16682551,15768499,10920822,7222694,7222695,10920824,15768503,11965665,8009853,5099047,5099046,8009848,7224238,7223249,7223250,254512941,2737139,1585956,1585958,2737146,2739539,4556462,7229579,7229589,4556472,4556471,7229587,7222199,4550445,4550444,7222198,7225625,10923824,15771314,21840908,29148984,37709276,47631550,59033790,71776331,85366122,99311048,113314569,261137291,140520916,128080881,114194346,100164119,86201852,72604363,59866381,48474730,256422637,29991298,38561450,48474731,59866382,72604364,86201853,100164120,114194347,128080883,141446060,154116840,165883215,176537008,185965538,263917149,273996393,212040619,216033298,215287246,264625904,264052564,263341154,174704641,163891075,152024466,139316034,125964233,112128040,112128041,125964235,139316035,152024467,163891077,174704642,184323142,192739503,199978099,205629021,199406698,199406697,192052764,183505251,183505250,183505252,192052766,263041492,170916105,166124435,262100230,128386996,141732486,134202848,120370270,120370271,134202850,147414231,159759402,171066449,171066447,171066448,166124437,154379614,154379613,147414225,141732485,133562926,119687960,119687959,261010032,134019314,147236017,134202840,260299007,91970146,91970147,106168142,120370268,134202843,141732485,128386995,114512694,260645039,272785466,159591302,159591301,147236018,147236019,159591302,159591301,159591300,170916105,166124435,166124436,176757457,186165543,262755417 Dl.O(d2) = 8163124,5233031,5233032,7293165,7293164,7295736,11020151,11845075,7916669,7296264,7296265,5032199,4599625,2767287,2767286,2813544,2813543,4601994,4601995,5233045,5233046,7916587,5032973,3047089,3047090,5032982,7916601,8163404,5233319,3193931,1869539,1869540,3047083,5032964,7916573,7292333,7292334,11015641,11015718,7292411,4598669,2766598,1603795,911998,514534,514535,254163707,912001,514536,288740,159828,88007,48451,27092,27093,48455,88014,159848,288782,288748,288747,514553,912037,1603857,2766696,4598820,4601812,4347409,2603697,2603699,4347416,6920150,4602352,2769268,2766958,1604015,1604014,1502549,851734,851735,1502555,2603720,1603933,1603935,1605580,2769222,2769232,4602307,4602072,2769038,1605441,913013,515124,289063,159986,88067,48473,27101,27102,48477,88079,160010,288984,514960,912107,1603970,1605465,1605464,2766681,2766680,4598803,7292585,4598786,4598785,7290502,4601833,2768861,1605331,1605332,2768863,4601836,7296387,11019660,10410398,7296244,7296245,7292741,7292740,11015998,15890673,21986964,29315113,37883917,47807353,59206711,71945659,85533598,99480090,258105944,65532417,53506757,43027066,33969250,26130507,19435508,19435507,17082262,11994548,8046329,8046330,11994555,17082279,23349500,19789564,14175013,14175014,15481576,15481577,254967295,6437467,6437468,9792171,14244651,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,3668842,3668838,5875924,5875918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658394, s2 = 16197987, dlinesl.size( ) = 2 s1 = 11658394, s2 = 16197987, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658394, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 2224111, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2567821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2567821, s2 = 9068452, int(edited[s2]) = 0 s1 = 2567821, s2 = 9068452, d1 = 1, d2 = 6 Dl.O(d1) = 72643572 Dl.O(d2) = 15792867,268228526,267977646,47285187,48113628,38202571,38202570,48113627,59501622,72236887,78384092,256145404,268028772,19455586,19455585,26154578,31105538,23620331,23620332,26899063,26898813,26898814,28852210,26898820,20016783,14336013,14336014,20016786,15102494,15102496,21026519,20103661,20103660,26994344,25556987,18943852,13507262,13507250,13507249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2567821, s2 = 9068452, dlinesl.size( ) = 2 s1 = 2567821, s2 = 9068452, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2567821, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 2567964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13548185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6774120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13556393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6652672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6652672, s2 = 8392786, int(edited[s2]) = 0 s1 = 6652672, s2 = 8392786, d1 = 5, d2 = 12 Dl.O(d1) = 256970935 Dl.O(d2) = 260026837,259292192,258041160,46663115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6652672, s2 = 8392786, dlinesl.size( ) = 8 s1 = 14164416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164416, s2 = 14103286, int(edited[s2]) = 0 s1 = 14164416, s2 = 14103286, d1 = 13, d2 = 11 Dl.O(d1) = 4105547,6553540 Dl.O(d2) = 258785727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164416, s2 = 14103286, dlinesl.size( ) = 2 s1 = 14164416, s2 = 14103286, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164416, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 8079939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10143167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13669799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1185343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15933675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8423070, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13261111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13261111, s2 = 13560758, int(edited[s2]) = 0 s1 = 13261111, s2 = 13560758, d1 = 22, d2 = 30 Dl.O(d1) = 9453155,13787295,19286086,19852067,19852066,26668017,21547206,268087204,7096316,7096318,10740460,255411743,256336257,256168163,255292647,9494538,9494539,13841582,19353143,25916770,33723418,33723417,26234290 Dl.O(d2) = 134027671,134027672,140021406,262181853,261259152,126668274,112811219,269848542,58585329,58585328,71318798,84892782,98819977,112811223,126668277,129170265,115239027,101161432,87163411,73544962,73544963,87163413,84741353,71171892,58449662,58449663,257425868,58557786,71289789,257560640,58557790,71289798,84864111,98792399,112784832,112784831,126529073,260508106,112784841,98792382,84864094,71289780,71289779,84864091,71289781,58557782,58557783,71289783,84864099,86290332,100253424,101528036,87570320,73972148,61193667,49714998,39696273,31019335,255543191,12112520,8144103,5217100,3182474,1862547,1862548,3182478,5217109,8144120,10662547,7041699,4431298,2945047,2945045,4080265,4080267,6511259,9906890,7497714,4739548,4739549,7497719,11292856,13581157,13581158,254657086,23652106,23652105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13261111, s2 = 13560758, dlinesl.size( ) = 12 s1 = 1521310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1521310, s2 = 2573244, int(edited[s2]) = 0 s1 = 1521310, s2 = 2573244, d1 = 4, d2 = 7 Dl.O(d1) = 38718046,30138447,30138449,38718042,256977021 Dl.O(d2) = 72765716,72765710,60028864,48635968,38718051,38718050,48635966,60028862,72765706,86362562,72765715,72765714,259414691,100322228,100322227,114348954,260973994,127836053,113956883,113956884,100824387,100824386,271800871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1521310, s2 = 2573244, dlinesl.size( ) = 2 s1 = 1521310, s2 = 2573244, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1521310, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9372434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2573640, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2573813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2573813, s2 = 9148325, int(edited[s2]) = 0 s1 = 2573813, s2 = 9148325, d1 = 0, d2 = 3 Dl.O(d1) = 72785157 Dl.O(d2) = 2223671,1289859,736300,418567,236271,236270,418563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2573813, s2 = 9148325, dlinesl.size( ) = 2 s1 = 2573813, s2 = 9148325, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2573813, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 9472510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2232088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2232088, s2 = 11657949, int(edited[s2]) = 0 s1 = 2232088, s2 = 11657949, d1 = 0, d2 = 4 Dl.O(d1) = 60050412 Dl.O(d2) = 86385154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2232088, s2 = 11657949, dlinesl.size( ) = 2 s1 = 2232088, s2 = 11657949, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2232088, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 3587512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15591305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15591305, s2 = 2574310, int(edited[s2]) = 0 s1 = 15591305, s2 = 2574310, d1 = 0, d2 = 0 Dl.O(d1) = 22564198,16384425,16384426,22564200,29923752,29603408,22253710,16115426,16115425,22253706,29603405,38170353,48083079,38171693,29604770,29604768,33718186,33718187,42747520,40160291,31475777,31475778,29511048,22169999,22170000,23994136,18061701,12805243,8706829,5668236,3526023,2098591,1208277,1208278,2098598,3526034,5668258,8706880,12805331,10669915,10669916,10669939,7047081,7047079,10669931,15434078,21426313,28674108,22253740,22253742,19250478,14472924,14472926,14472901,14472902,20172014,27066324,29603050,22253422,16115249,11194294,7427721,7427720,11194303,16115275,22253469,21754201,15700474,10868823,10868822,15700469,12325287,8325738,8325737,12325281,17481292,17489805,12331687,12331686,8746778,8746779,12861705,13754829,9425190,6175755,6175754,254942033,13755324,19250738,25912592,25427421,25427420,25911582,19250001,13754859,9425205,9425209,13754864,19250010,25911591,33718130,42747468,42125862,42125861,52480636,256761088,46881763,37003015,28505163,28505164,37003017,46881768,58248946,70965385,84528919,98450738,112440110,123975370,109835648,95631802,81598565,81598564,95631806,100343437,100343446,86386074,72790048,72790049,86386066,72790042,257559217,38734234,38734235,38734236,30152419,22764595,16551236,16551235,22764594,30152417,38734232,48655091,60051430,72790039,72790037,72790036,86386060,100343429,114368260,128245916,141597185,259487442,104692852,90527571,76665270,258240642,74047729,74047730,87650913,101617768,115658570,129544916,142863715,152164244,152164243,148104834,134983112,121174953,121174954,134983114,148104838,153406573,140724201,133980908,120139174,105926969,105926968,99483442,85537151,259355473,102169950,88179686,258000826,61782186,74565266,88179689,85686713,85686714,99635479,88179688,88179687,100370249,100370250,114393614,271352680,113648795,113648794,127520211,115877683,115877682,116230427,116230426,258287902,84940002,84940001,256979562,256979560,86924839,84944370,84944368,98870533,87856377,74251892,256808260,70566887,57865170,57702777,256271024,83922945,97781470,111703608,112602923,115877675,115637844,271352678,126709875,126709874,126412604,112543031,98549095,98549096,259917400,126412606,260019992,116556126,102456879,88453012,74819455,62022425,62022426,74819458,88453016,102456874,102456873,116556115,271339094,114517931,103452856,89357608,89357607,89357630,89357629,256243128,109179663,105941854,91734639,91734638,105941856,120153686,123582589,109390552,102262914,95135992,258781396,123582583,137314055,150355245,155550256,261369320,165921805,154160903,270853890,114246945,100212561,100212560,114246944,128133850,130194896,116356999,115777170,101731884,101731883,102082986,258870252,99653059,85704688,72119337,59387999,256929567,38087581,47999382,59387998,72119329,72119328 Dl.O(d2) = 22564198,16384425,16384426,22564200,29923752,29603408,22253710,16115426,16115425,22253706,29603405,38170353,48083079,38171693,29604770,29604768,33718186,33718187,42747520,40160291,31475777,31475778,29511048,22169999,22170000,23994136,18061701,12805243,8706829,5668236,3526023,2098591,1208277,1208278,2098598,3526034,5668258,8706880,12805331,10669915,10669916,10669939,7047081,7047079,10669931,15434078,21426313,28674108,22253740,22253742,19250478,14472924,14472926,14472901,14472902,20172014,27066324,29603050,22253422,16115249,11194294,7427721,7427720,11194303,16115275,22253469,21754201,15700474,10868823,10868822,15700469,12325287,8325738,8325737,12325281,17481292,17489805,12331687,12331686,8746778,8746779,12861705,13754829,9425190,6175755,6175754,254942033,13755324,19250738,25912592,25427421,25427420,25911582,19250001,13754859,9425205,9425209,13754864,19250010,25911591,33718130,42747468,42125862,42125861,52480636,256761088,46881763,37003015,28505163,28505164,37003017,46881768,58248946,70965385,84528919,98450738,112440110,123975370,109835648,95631802,81598565,81598564,95631806,100343437,100343446,86386074,72790048,72790049,86386066,72790042,257559217,38734234,38734235,38734236,30152419,22764595,16551236,16551235,22764594,30152417,38734232,48655091,60051430,72790039,72790037,72790036,86386060,100343429,114368260,128245916,141597185,259487442,104692852,90527571,76665270,258240642,74047729,74047730,87650913,101617768,115658570,129544916,142863715,152164244,152164243,148104834,134983112,121174953,121174954,134983114,148104838,153406573,140724201,133980908,120139174,105926969,105926968,99483442,85537151,259355473,102169950,88179686,258000826,61782186,74565266,88179689,85686713,85686714,99635479,88179688,88179687,100370249,100370250,114393614,271352680,113648795,113648794,127520211,115877683,115877682,116230427,116230426,258287902,84940002,84940001,256979562,256979560,86924839,84944370,84944368,98870533,87856377,74251892,256808260,70566887,57865170,57702777,256271024,83922945,97781470,111703608,112602923,115877675,115637844,271352678,126709875,126709874,126412604,112543031,98549095,98549096,259917400,126412606,260019992,116556126,102456879,88453012,74819455,62022425,62022426,74819458,88453016,102456874,102456873,116556115,271339094,114517931,103452856,89357608,89357607,89357630,89357629,256243128,109179663,105941854,91734639,91734638,105941856,120153686,123582589,109390552,102262914,95135992,258781396,123582583,137314055,150355245,155550256,261369320,165921805,154160903,270853890,114246945,100212561,100212560,114246944,128133850,130194896,116356999,115777170,101731884,101731883,102082986,258870252,99653059,85704688,72119337,59387999,256929567,38087581,47999382,59387998,72119329,72119328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15591305, s2 = 2574310, dlinesl.size( ) = 2 s1 = 15591305, s2 = 2574310, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15591305, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2574856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15407779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2575472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8024258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2234777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2234777, s2 = 432797, int(edited[s2]) = 0 s1 = 2234777, s2 = 432797, d1 = 8, d2 = 19 Dl.O(d1) = 60092799 Dl.O(d2) = 10983386,7270155,7270156,7270193,254755827,15848322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2234777, s2 = 432797, dlinesl.size( ) = 20 s1 = 2482019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9386400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1609793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2577882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2577882, s2 = 14103777, int(edited[s2]) = 0 s1 = 2577882, s2 = 14103777, d1 = 70, d2 = 66 Dl.O(d1) = 72845945,72845946 Dl.O(d2) = 131502523,144728819,260197850,103561067,258330342,62750331,62750334,75697526,89462606,260197659,117696254,117696255,131502512,261902843,168573265,157128067,260794674,117696257,103561062,89462596,75697518,62750330,51119140,40976830,32196728,24608158,18159347,12877474,8757818,5702003,5702005,8757821,12877478,13830810,19339473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2577882, s2 = 14103777, dlinesl.size( ) = 2 s1 = 2577882, s2 = 14103777, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2577882, Dl.E( ) = 72, 2.38e-05 seconds used appending s1 = 6654061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2578086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2578086, s2 = 9699110, int(edited[s2]) = 0 s1 = 2578086, s2 = 9699110, d1 = 1, d2 = 1 Dl.O(d1) = 86442125,72847684,60111403,48716755,38795576,30211195,256138078,25565181,33326064,42306654,52693543,64594129,77776848,91704415,260881105 Dl.O(d2) = 86442125,72847684,60111403,48716755,38795576,30211195,256138078,25565181,33326064,42306654,52693543,64594129,77776848,91704415,260881105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2578086, s2 = 9699110, dlinesl.size( ) = 2 s1 = 2578086, s2 = 9699110, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2578086, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6554591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6554591, s2 = 14039572, int(edited[s2]) = 0 s1 = 6554591, s2 = 14039572, d1 = 52, d2 = 29 Dl.O(d1) = 255910096 Dl.O(d2) = 44830957 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2237549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3463813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10239787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10239787, s2 = 8705803, int(edited[s2]) = 0 s1 = 10239787, s2 = 8705803, d1 = 29, d2 = 36 Dl.O(d1) = 8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747263,11747260,12390752,12265514,12265518,12436055,8404935,8279667,5342052,3285114,1931979,1103624,619254,619255,1103632,1103641,1930862,1930865,1103171,1103167,1930996,3281604,3281602,254843315,13588381,19036396,22433873,19126757,19126758,25655594,22663088,19022366,13577440,9296502,6089787,6089785,3813327,2284258,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372891,12372890,17541866,15609322,12619239,8565951,8565952,12619240,17279418,12158867,8189449,5259001,5259002,8189452,10259699,10259698,14920303,16268844,254779265,4747361,2860993,2860992,254507582,11311817,13628987,13628988,19089374,24250217,24250218,268650247,60143330,72879788,86475224,272537860,141683495,141683494,154335775,141683489,128333810,114456774,260641149,141683486,141683505,141683504,154335792,154335804,154335798,141683510,141683509,141683506,141683507,154335795,166085359,154335785,141683499,141683498,154335783,166085356,166085376,273364335,194336419,273874261,201361676,273494776,186134192,263018668,262673840,141683481,128333805,114456772,100432349,86475218,72879785 Dl.O(d2) = 176722292,166085351,166085350,176722290,263576797,264243759,263792812,201361667,194336401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8280587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16277615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1528798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9719737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9719737, s2 = 1377485, int(edited[s2]) = 0 s1 = 9719737, s2 = 1377485, d1 = 236, d2 = 177 Dl.O(d1) = 262879235,188298752,192441417,199728986,205892725,201364812,194339934,186137967,176726337,166089552,154340416,141688383,257079200,114462156,100437800,86480685,72885450 Dl.O(d2) = 257334708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9719737, s2 = 1377485, dlinesl.size( ) = 94 s1 = 2239292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2239292, s2 = 3932080, int(edited[s2]) = 0 s1 = 2239292, s2 = 3932080, d1 = 7, d2 = 7 Dl.O(d1) = 60154634,72890504,86485529,100442639,114467062,128343987,141693389,128343984,128343985,141693387,141693386,141693388,141693391,141693384,128343979,114467058,114467059,128343982,141693387,141693385,141693389,141693390,154345374,166094277,176730692,262757996,201367797 Dl.O(d2) = 60154634,72890504,86485529,100442639,114467062,128343987,141693389,128343984,128343985,141693387,141693386,141693388,141693391,141693384,128343979,114467058,114467059,128343982,141693387,141693385,141693389,141693390,154345374,166094277,176730692,262757996,201367797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2239292, s2 = 3932080, dlinesl.size( ) = 2 s1 = 2239292, s2 = 3932080, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2239292, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13241631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13241631, s2 = 6866901, int(edited[s2]) = 0 s1 = 13241631, s2 = 6866901, d1 = 6, d2 = 1 Dl.O(d1) = 1715062,1715063,2957786,4907201,254801517,16568775,11549960,7684354,4862229,2929942,2929944,4862240,2935085,2931339,1700151,966559,966561,1700157,2931355,2931437,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245 Dl.O(d2) = 259426169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13241631, s2 = 6866901, dlinesl.size( ) = 2 s1 = 13241631, s2 = 6866901, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13241631, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 2581862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2581862, s2 = 11406712, int(edited[s2]) = 0 s1 = 2581862, s2 = 11406712, d1 = 184, d2 = 172 Dl.O(d1) = 72908426,60171455,60171454 Dl.O(d2) = 189133791,263703279,264344371,213606882,217336272,273396820,184562768,174956332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2581862, s2 = 11406712, dlinesl.size( ) = 64 s1 = 4192111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6654867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7636533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7636533, s2 = 6654866, int(edited[s2]) = 0 s1 = 7636533, s2 = 6654866, d1 = 6, d2 = 6 Dl.O(d1) = 270343080,72912582,256990208 Dl.O(d2) = 270343080,72912582,256990208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7636533, s2 = 6654866, dlinesl.size( ) = 2 s1 = 7636533, s2 = 6654866, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7636533, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 3037823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13382771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13382771, s2 = 11656393, int(edited[s2]) = 0 s1 = 13382771, s2 = 11656393, d1 = 16, d2 = 18 Dl.O(d1) = 48305198,59692115,59692114,60133619,48738872,48738873,257478161,256356755,29102431,37651498,47556814,257010962,78336220,258633230,114012886,127893023,127893020,127893021,127893022,114012885,114012886,114517365,100493410,100493409,114517364,272230511,141737017,128391565,114517362,100493408,86534602,72936275,60196994,48800199,38877876,30291953,255504119,11630482,7747804,4906499,4906500,7747806,11630485,11630480,11630481,255504117,22893588,256447639,38877875,257572607,60196993 Dl.O(d2) = 100493403,100493404,114517360,128391562,141737016,154384515,166129441,176571792,263565751,263919067,201247470,194210344,194210339,185994747,263080938,154163744,141498210,261632220,114250574,100216710,86249541,259279982,269773774,38599487,30026623,30026624,38599489,47090453,40011475,31333144,23841320,22638975,16450083,11461599,7623678,7623679,7629174,7629175,11469625,16461284,22653357,30026655,38599519,48514171,59907446,54713081,48514145,48514146,43969274,34694023,26699387,19878684,14242853,9791002,9791001,14242851,10472499,10472500,15182540,16422720,22605675,17697004,12516772,8479617,8479618,12516774,17697010,16941389,16941391,23213012,23213011,24039577,17687779,12509573,12509575,17687783,24039585,30636314,39234174,39286421,39286422,31637099,31637098,31022358,23541174,23541175,31022360,39699485,39233837,39233836,30783708,29483884,255406630,39386058,30784000,23359035,23359036,24050787,24129986,30904025,23469521,23469520,268666077,39399836,39399837,40326534,49212968,40231327,40231326,48490406,38577141,37731791,29171304,29171305,30681759,23265074,17001369,11914770,11914771,17001371,17697090,12516821,12516822,17697092,15499082,15499081,21507503,24188909,24188908,31696605,29484234,29484235,38047670,40326609,50353589,59768992,48386171,38483481,255986398,22563827,29923308,38483479,48386169,59768990,257668307,40233714,40233716,257668309,74513562,85617220,257504680,47896478,37979097,31545743,24042209,17690189,12511735,12511734,17690187,24042205,31545736,31753403,31753404,31547703,31547704,31548184,40234117,31753415,24241515,17865709,12651727,12651729,17865713,24042815,24042816,31546356,24044099,17691874,17691873,24044096,31547568,31546391,24044594,24044595,31548089,31548085,24044590,17692272,12513333,12513332,17692270,22085831,15979613,11276690,255090635,15900522,11023005,11023006,15900525,22000208,15979436,11276688,7485641,7485642,11276689,16221522,17690383,16221475,11276649,7485612,4730533,2850159,1653710,940727,940728,1653712,2850162,4730538,7485618,7485646,4730554,2850172,1653718,940732,530465,530464,940731,1653715,2850167,3370764,1983517,1983516,3370762,5477636,8474016,12508896,11276669,11276670,16221506,12511556,12510695,12510694,12509147,12509148,17687215,16194420,11257325,7473195,7473194,8477145,8477146,11305451,16228493,11281615,7488963,7488962,8475000,8474999,12510153,12511055,12511056,17688431,17688430,12511053,12511054,17689380,24041288,31544648,40230969,50250826,258828644,39352598,38123379,38123380,42319830,33339374,33339375,42319831,52706981,49759001,39740375,255998178,31093791,255548312,49791768,59584821,268435108,31093762,31093764,36857512,36857511,38053227,32962190,25240660,18670883,18670884,25240664,31201324,23713633,17389908,17389909,23713634,30148288,30148287,38729878,30239704,22846350,16622815,11595057,11595058,16622816,255653763,20091488,20091489,19864415,14231855,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434246,9786865,14236796,19870611,26689867,21485821,19871201,16123660,11200269,7431704,7431705,11200272,16123666,13334577,13334579,14237261,9787194,6434438,6434436,9787190,14237248,13969673,13969671,14236363,14236364,19870133,19865765,14232840,9784038,6432479,6432480,9784042,14232847,19865756,19865755,26684215,21484096,15480257,10704885,7072317,4452708,2674997,1549508,1549509,2675003,4452717,7072335,9948284,9948286,11145084,13188546,14245094,9792466,7072682,7072680,10705457,11024008,11957498,11971806,8016185,5104615,3098817,3098815,5104610,5138453,5103493,3188407,3188405,5103779,5110332,5103685,5103686,5108034,5103622,3098079,1810117,1033840,582588,582587,1033837,1810107,3098056,5103596,8015273,8019128,5107805,5107804,8017156,5105658,3099565,254380975,5174412,5147796,3155393,267796463,1846275,3122217,1824875,267795713,5135084,267989691,5173403,5169821,267860768,1868154,1867351,1867352,3145593,3145592,5106536,8017925,11331694,7529288,7529289,7317934,7317933,8017510,8017110,8017111,8066820,5160588,3143778,1838781,1838780,3143777,5160585,8022439,5111315,5111314,8022437,11976090,11982576,8031525,5120852,3125638,1827106,1827108,3125641,3148658,1841952,1051120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13382771, s2 = 11656393, dlinesl.size( ) = 12 s1 = 13403129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13556627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10255142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10255142, s2 = 14162513, int(edited[s2]) = 0 s1 = 10255142, s2 = 14162513, d1 = 33, d2 = 148 Dl.O(d1) = 19231153,13738812,255286013,22918133,254637028,9906691,6511105,6511111,9906720,10607910,8824507,5749657,3772711,3772716,6030633,9211482,13469673,18901220,25511461,268307398,40761000,40760965,40760966,32005502,32005501,40760979,33509282,33509287,42508220,49936247,49936246,49337910,39408473,30803675,30803674,39408464,49337887,60741075,73490171,258074572,71971968,59234325,47837080,47837081,59234327,71971971,78039711,87109039,87109040,258457616,87109179,87109180,81290303,73168189,73168188,86780803,92273042,78245988,64972564,64972565,257780101,52379434,64234909,73168197,60421545,60421543,49337880,39408458,30803668,30803666,39408453,49337870,60741047,60741123,64416558,52542092,42183228,42183225,52542080,64416542,77585440,91516453,257111926,105257307,91047505,77142698,254881150,41854125,32924469,32924470,41854129,52178567,48917157,38993421,254290688,16759631,11712665,254092036,1737457,987468,555635,555637,987534,1737757 Dl.O(d2) = 81632067,68141869,68141868,68141895,81632092,95665692,104070995,118229946,118229948,104336469,90184035,76355826,76355827,90184038,104336473,104070992,89941598,89941597,104070990,258975112,76135568,63129661,51432055,41233978,32409073,32409075,41233983,51432064,63129680,76135598,63129678,63129679,76135600,89941578,90286640,76456976,76456975,76456996,63413570,63413569,63413335,61535784,50056885,40037373,40037375,50056877,50056878,61535778,58262451,58262450,51600522,41375573,41375574,51600525,62100358,62100354,50601779,40560667,40560668,50601782,50601806,268016884,58358791,46988757,37104166,28596331,28596333,37104169,46988763,52182047,41857022,32926791,25211230,18646465,18646466,25211235,254292756,51664612,41429518,40019799,31340431,31340430,40019797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10255142, s2 = 14162513, dlinesl.size( ) = 2 s1 = 10255142, s2 = 14162513, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10255142, Dl.E( ) = 160, 5.39e-05 seconds used appending s1 = 2244423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162410, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2586663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6451597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1565141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2246556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2246947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 904965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1892896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9487450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9487450, s2 = 9484217, int(edited[s2]) = 0 s1 = 9487450, s2 = 9484217, d1 = 3, d2 = 6 Dl.O(d1) = 74783582 Dl.O(d2) = 100675477,114721658,114721660,128618302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9487450, s2 = 9484217, dlinesl.size( ) = 2 s1 = 9487450, s2 = 9484217, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9487450, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 14163998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15912269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9236121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9038832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9450461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9450461, s2 = 7401254, int(edited[s2]) = 0 s1 = 9450461, s2 = 7401254, d1 = 145, d2 = 163 Dl.O(d1) = 86723412,260597148,86723411,260654941,128647400,114747194,259997206,73118031,60378053,60378054,60378055 Dl.O(d2) = 229088372,265712440,266276023,266200794,265828674,230398623,265681696,274259660,264701274,274125142,199662896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9450461, s2 = 7401254, dlinesl.size( ) = 54 s1 = 11657244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657244, s2 = 8438199, int(edited[s2]) = 0 s1 = 11657244, s2 = 8438199, d1 = 42, d2 = 16 Dl.O(d1) = 21207118,28431018,36929690,31799708,256048671,17904889,12684318,8615714,254877679,12684319,8615735,5600497,5600496,3476437,2062682,2062681,3476435,5600498,8615736,12684343,9112624,5962308,254297463,2232239,3728452,5962304,9112621,10416256,10416255,11426991,7596027,4804902,4804900,7596019,11426983,7600938,4808445,4808446,7600941,7748083,7748084,7329564,4630195,4630194,2789391,2789387,4630254,6814475,4656755,2805362,2805361,4656748,4902817,2954994,2954995,4902821,7742674,10349566,10349565,7734284,7603034,7603035,7739662,4900489,2953467,2953469,4900496,7589217,4800507,2893480,2893481,4800515,4903263,7594290,7471908,4900348,4900349,7681647,7685426,4862918,4862919,4863894,4863892,4861508,2929491,2929490,2956216,2956217,4904699,6814166,4274050,4274051,6814171,10349175,11412119,7583759,4796814,2955646,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952285,2954877,2954880,4309629,2576900,2576899,4309624,6866683,10416425,7585520,4797914,4797915,254784285,268229469,11428741,7597491,7597492,7728164,4891874,2947963,2947962,2948028,1709713,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358676,6591517,6591516,10029652,254419762,27241235,33039893,25312254,25312255,25312274,18735334,13337405,13337404,18735220,13337330,9112643,5962318,5962319,9112645,13337333,18735224,25312114,29697191,38262973,48045930,38132610,38132611,33039931,25312282,18735337,18735338,256116847,41983604,42427854,42427855,36510694,255274354,33039725,38132555,31301794,23815222,23815220,31301792,29566750,22220703,16088530,16088529,22220700,29566727,38132592,48045912,48045932,48045929,38132607,29566739,22220694,22220692,16088524,16088523,22220691,29566734,38132598,258123127,85770248,99724004,113738198,127606770,127716497,113845490,99829348,87012295,73396787,60650369,60650368,49249886,49249885,60650372,73396789,85875290,85875291,72283073,59548693,48161976,38252842,38252843,46818287,36940295,30197354,30197355,33405808,33405809,41141344,47617336,37985655,29423417,29423416,37985653,255751012,33149044,42103199,33148957,33148956,38083735,29519106,29519107,38083737,33148957,25408433,25408434,33148959,42103200,38285744,29719139,22362939,22362940,29719142,38285749,38780467,48702943,57722670,52456164,42103763,33984625,33984626,43042172,255915190,36986114,46864612,58232519,70949707,70949708,84513301,269793252,98434766,112422986,100383166,100383167,114406173,128282159,114764437,100715413,86739793,86427498,72832517,72832516,60391906,60391905,73132964,86427497,100383162,114406171,128282158,135946112,122017972,107642964,93239653,93239654,107642966,107642983,93239666,79123402,65767777,258471011,93239664,260281051,120063584,107642961,93239652,79123393 Dl.O(d2) = 161457606,262539699,160346484,148103573,261481344,106907350,121173614,106907356,259077229,71217334,58495511,47117139,47117140,58495510,47117146,47117147,58495518,47117221,37219822,28694578,28694577,21443309,15447474,10680215,7054965,7054964,7054959,4441206,2667579,1544723,1544724,2667581,4441209,4441205,4441204,7054957,10680203,10680214,7054963,7054962,10680211,15447468,21443284,21443283,28694543,37219798,47117199,58495567,58495568,47117189,47117188,58495570,71217386,58495577,47117194,37219796,37219797,47117195,58495575,71217394,71217395,84786308,81592132,68102562,68102563,81592133,95625573,109829634,123969146,109832577,95628751,95625574,95625575,95625579,95625578,109829625,95625559,81592121,68102556,68102557,81592123,95625562,109829612,109829611,261009567,137650558,137650559,150647989,137650555,137650556,150647990,162743881,173745606,183516493,192061412,192061419,183516497,173745609,162743883,150647992,272785359,173745611,263446567,199414152,200924039,200924038,206897695,211832540,206897693,200924036,193843480,185584197,185584196,191597047,191597046,182964102,173080354,161929345,149632896,136367996,136367997,136367993,122384359,107958248,258252858,66015362,53945226,43418650,34317386,34317387,43418654,53945229,66015364,77979365,64785289,52866180,48085263,40334183,31645111,24138101,17773924,17773925,24138131,22255677,21178519,21178518,28398837,22254590,22254589,29604388,29272850,21949801,21135107,21135108,28348206,255557500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657244, s2 = 8438199, dlinesl.size( ) = 26 s1 = 2591339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2910655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2803252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2250740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8251469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9674705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674705, s2 = 11659987, int(edited[s2]) = 0 s1 = 9674705, s2 = 11659987, d1 = 27, d2 = 20 Dl.O(d1) = 264212400,204296859,197822352,190222277,181420848,171400436,261162918,134812251,260585936,106761857,92456556,78609485,78609484,92665657,260325239,135141399,126425718,271768920,98563287,98563261,84640065,84640064,84640099,98563290,93233634,270290198,53703181,43191486,43191485,46990300,46798680,36920895,256844413,21199937,15235157,10509880,6930521,4354424,4354423,6930519,10509878,15235156,21199935,28422833,36920894,46798678,58165926,70879826,70879823,70879824,271826032,98677964,84750505,73216999,60470284,49066820,39136511,30537537,23118680,16859108,11791584,7873958,4998793,4998792,7873956,11791582,16859105,23118679,23118665,23118664,23118755,23118757,23118587,268421969,255520370,30537700,33281379,33281378,39136651,39136650,49066966,39136677,39136678,49066878,39136568,39136512,30537541,23118682,23118681,30537540,32353662,41168668,51353960,63034723,74773269,74773268,270919097,102405180,116500464,130337201,128136681,114249973,100215898,86248456,72646861,72646860,86248413,72646806,72646807,72646830,86248431,86248458,86248457,100215900,114249974,128136682,141497922,260593930,142150423,128795138,114897782,100846882,100846883,114897784,128795141,118603843,258357934,139056483,260228398,111900033,125717538,139056480,141007375,127659520,113791562,99777435,85823692,72230647,59494558,48105938,48105937,59494557,72230645,85823691,99777434,113791561,117854327,113977959,113977960,127855699,141214737,153886580,165663127,176331603,185776196,194014332,188348408,179298966,169014000,157552861,145119716,131862194 Dl.O(d2) = 240099144,239841070,239266285,238640985,237958214,237207896,236384929,235484029,234496472,233412051,232217825,265666908,225857508,223684142,221175859,218247027,214760924,210524813,210524812,210524814,205340769,199078734,191676065,183067535,173216914,162117198,149905531,136764883,122933848,108669523,94382390,80327273,66899777,66899776,66899778,80327274,94382391,108669525,259762922,149905534,162117201,173216918,183067539,263014048,199078735,205340771,210524817,214760927,218247029,221175862,223684145,225857512,227753525,227753523,225857510,223684143,221175861,218247028,214760926,210524815,263421688,191676066,183067536,173216916,162117200,162117199,261536780,183067538,186149277,176739801,166104943,154358360,154358359,154358358,141709043,128361404,128361403,141709041,128361406,114485000,100460003,100460001,100460002,114484997,128361402,141709039,141709044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674705, s2 = 11659987, dlinesl.size( ) = 2 s1 = 9674705, s2 = 11659987, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9674705, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 6868624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6868624, s2 = 3615642, int(edited[s2]) = 0 s1 = 6868624, s2 = 3615642, d1 = 49, d2 = 73 Dl.O(d1) = 259444479,73218335 Dl.O(d2) = 128762578,137629903,123951008,261008145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6868624, s2 = 3615642, dlinesl.size( ) = 48 s1 = 1429787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2594188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817654, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7572617, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2254605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2254605, s2 = 3676529, int(edited[s2]) = 0 s1 = 2254605, s2 = 3676529, d1 = 9, d2 = 14 Dl.O(d1) = 60508322 Dl.O(d2) = 113526563,113526564,127396555,140752346,140752345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2254605, s2 = 3676529, dlinesl.size( ) = 2 s1 = 2254605, s2 = 3676529, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2254605, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 3913198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2254937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2254937, s2 = 11655074, int(edited[s2]) = 0 s1 = 2254937, s2 = 11655074, d1 = 2, d2 = 6 Dl.O(d1) = 60513549 Dl.O(d2) = 86364727,259413116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2254937, s2 = 11655074, dlinesl.size( ) = 36 s1 = 7637040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2596534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13432285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9117252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8193902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8193902, s2 = 11093151, int(edited[s2]) = 0 s1 = 8193902, s2 = 11093151, d1 = 1, d2 = 1 Dl.O(d1) = 1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439409,1439406,2492966,4170431,6634313,10102862,14689295,20470515,27457502,35657593,36271731,46061647,44745477,35319866,27196566,27196563,35319826,35319728,35319516,256761717,55652466,259126140,42623145,38994634,30405325,255509925,16760437,23000226,23000135,16760378,16760377,23000133,30405219,25334187,18754920,18754921,255739388,14189197,14189196,19809103,26618491,34606459,255817210,48148116,257216703,42420978,52822622,47102592,256636034,63128350,256529176,39030247,39030246,269834117,269875558,60268635,256997705,256453658,60268637,73003624,67569081,55226176,44375495,38945434,30359286,30359287,254369878,49169575,60568530,255509196,58182158,46815270,46815269,46815268,36936944,28437498,21212410,15245020,15245021,21212412,256305133,21195477,15231682,10507248,6928666,4352922,2609567,2609389,2607101,1504577,858496,858495,1509036,855771,254158409,2523074,1509087,1509086,2613476,4361404,6940166,10523324,15253556,21223201,28449816,36950107,269205762,46828216,268344042,31333187,23841398,23841399,31333188,255763452,46332593,36477009,28016253,20850275,14949967,10284146,254319422,8336742,6759618,4235931,4235930,6759616,10284145,14949965,20850274,22464380,16296055,11339808,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660978,11516785,16524836,22730100,16525275,11517141,10789877,10789878,10045654,10045655,10049151,6603492,4136694,2474394,2474395,4136696,6603499,10049159,14604216,20347083,22000477,22000476,20347071,14604209,10049155,6603495,6603496,254988043,14604210,255763451,256767911,44833505,258555935,68139288,259184335,76297671,63275726,51557256,256600881,24844664,24844663,31246478,39922072,49939816,53622217,49127889,39200673,30604210,23185235,16919412,16919411,23185231,30604200,33078657,25348081,18766650,18766647,18767281,13363694,13363691,18767272,25348067,25348066,29475218,35183808,27124002,27124001,32454820,25348666,18767029,13363579,13363581,17657738,24002614,31501012,255657363,18767063,25348721,256635287,40185599,40185600,50207807,42023416,42023417,49954784,41657484,41657483,42023853,42023852,52362156,55446795,44596896,35215997,27123289,27123290,33101441,33101442,37604712,33078093,25347678,25347677,33078086,42022024,46818559,44598588,44598587,255220140,36700351,28209364,21016307,15094475,10410569,10410567,11457667,11457668,16444676,22631787,30001253,38571821,39701804,49720358,57963668,63226667,52362370,52362371,52360648,46752115,46752114,58120648,58104304,53679536,254720770,33590701,255017778,256299540,55716358,44809901,42636648,33610888,31500828,24002504,17657682,17657683,24002507,31500832,35217635,44597560,55447238,50208248,256299536,61689985,50208110,42022589,42022567,33078592,31498952,31498951,40183800,44598439,55447290,44597647,44597646,268986446,48338935,258145199,258041396,43963279,34688040,255732489,14238895,9788254,6435065,6435064,9788253,256205655,257292737,66966113,80396329,74055491,61275415,61275414,66966112,66966111,80396327,80396326,80396324,80396325,94455656,260382761,260976457 Dl.O(d2) = 1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439409,1439406,2492966,4170431,6634313,10102862,14689295,20470515,27457502,35657593,36271731,46061647,44745477,35319866,27196566,27196563,35319826,35319728,35319516,256761717,55652466,259126140,42623145,38994634,30405325,255509925,16760437,23000226,23000135,16760378,16760377,23000133,30405219,25334187,18754920,18754921,255739388,14189197,14189196,19809103,26618491,34606459,255817210,48148116,257216703,42420978,52822622,47102592,256636034,63128350,256529176,39030247,39030246,269834117,269875558,60268635,256997705,256453658,60268637,73003624,67569081,55226176,44375495,38945434,30359286,30359287,254369878,49169575,60568530,255509196,58182158,46815270,46815269,46815268,36936944,28437498,21212410,15245020,15245021,21212412,256305133,21195477,15231682,10507248,6928666,4352922,2609567,2609389,2607101,1504577,858496,858495,1509036,855771,254158409,2523074,1509087,1509086,2613476,4361404,6940166,10523324,15253556,21223201,28449816,36950107,269205762,46828216,268344042,31333187,23841398,23841399,31333188,255763452,46332593,36477009,28016253,20850275,14949967,10284146,254319422,8336742,6759618,4235931,4235930,6759616,10284145,14949965,20850274,22464380,16296055,11339808,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660978,11516785,16524836,22730100,16525275,11517141,10789877,10789878,10045654,10045655,10049151,6603492,4136694,2474394,2474395,4136696,6603499,10049159,14604216,20347083,22000477,22000476,20347071,14604209,10049155,6603495,6603496,254988043,14604210,255763451,256767911,44833505,258555935,68139288,259184335,76297671,63275726,51557256,256600881,24844664,24844663,31246478,39922072,49939816,53622217,49127889,39200673,30604210,23185235,16919412,16919411,23185231,30604200,33078657,25348081,18766650,18766647,18767281,13363694,13363691,18767272,25348067,25348066,29475218,35183808,27124002,27124001,32454820,25348666,18767029,13363579,13363581,17657738,24002614,31501012,255657363,18767063,25348721,256635287,40185599,40185600,50207807,42023416,42023417,49954784,41657484,41657483,42023853,42023852,52362156,55446795,44596896,35215997,27123289,27123290,33101441,33101442,37604712,33078093,25347678,25347677,33078086,42022024,46818559,44598588,44598587,255220140,36700351,28209364,21016307,15094475,10410569,10410567,11457667,11457668,16444676,22631787,30001253,38571821,39701804,49720358,57963668,63226667,52362370,52362371,52360648,46752115,46752114,58120648,58104304,53679536,254720770,33590701,255017778,256299540,55716358,44809901,42636648,33610888,31500828,24002504,17657682,17657683,24002507,31500832,35217635,44597560,55447238,50208248,256299536,61689985,50208110,42022589,42022567,33078592,31498952,31498951,40183800,44598439,55447290,44597647,44597646,268986446,48338935,258145199,258041396,43963279,34688040,255732489,14238895,9788254,6435065,6435064,9788253,256205655,257292737,66966113,80396329,74055491,61275415,61275414,66966112,66966111,80396327,80396326,80396324,80396325,94455656,260382761,260976457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8193902, s2 = 11093151, dlinesl.size( ) = 2 s1 = 8193902, s2 = 11093151, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8193902, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1724507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6712682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9431261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9158642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2260021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6884310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6807586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6807586, s2 = 14322981, int(edited[s2]) = 0 s1 = 6807586, s2 = 14322981, d1 = 38, d2 = 36 Dl.O(d1) = 258726981,73366088,257020384 Dl.O(d2) = 60688673,50208464,50208463,61690167,62709997,75654954,86078004,86078005,99727206,269331886,81258937,72179097,59440647,48048836,255141774,22222597,22222598,23336517,23336516,29778965,22414027,16249467,11297109,11297106,16249458,22414010,29778938,25348509,18766924,13363528,13363527,18766753,18766754,22547699,16371673,11393605,7569996,7569994,11393598,16371656,255917467,38460209,268707034,38571864,30001301,255484725,11457680,11457681,16444694,22631819,30001309,33079414,40185986,50208074,61689969,64211632,52362543,42024352,42024357,35217529,27124489,27124490,35217534,33079814,25348901,18767167,18767168,25348905,33079821,40185940,36700446,28209433,28209432,36700442,42022405,33078428,25347914,18851169,13431081,13431082,18851171,25448835,33194471,35216277,44597145,36989548,36989549,46868112,261641161,164251431,175056626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6807586, s2 = 14322981, dlinesl.size( ) = 2 s1 = 6807586, s2 = 14322981, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6807586, Dl.E( ) = 40, 2.79e-05 seconds used appending s1 = 1622299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2262487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2262487, s2 = 10170616, int(edited[s2]) = 0 s1 = 2262487, s2 = 10170616, d1 = 0, d2 = 8 Dl.O(d1) = 60645436 Dl.O(d2) = 257602707,49244822,257602709,39317904,30719604,23302303,23302301,30719601,257022219,39317904,30719604,23302303,255142891,11955351,17041997,23302315,29608676,22258179,16118776,13652242,9348613,6123311,3831125,2295289,254207499,760516 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1104521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6918382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2083883, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8086093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14939418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14939418, s2 = 13445358, int(edited[s2]) = 0 s1 = 14939418, s2 = 13445358, d1 = 22, d2 = 1 Dl.O(d1) = 3596216,2187184,1268890,1268889,2187182,3596221,3596220,2187188,267808893,5857705,5857704,8973086,13164387,8973093,5857716,5857715,5772900,5772901,8857225,13009676,8857221,8857222,13009678,18327305,24817865,25070568,25070569,32767330,256470848,31533533,25070572,25070571,32767333,41683483,41227215,32403037,256083879,24779138,32403041,32403043,255626131,12988657,8842273,5762575,5762574,8842271,12988653,18298585,256083877,32248424,32248423,31177282,31177281,39860036,49883231,51994686,41683482,41683481,51197144,258243212,258243214,62846497,75810035,74145265,257637477,49883311,61364708,61718417,61718418,61364703,49883304,39860116,31177348,31177347,39860111,49883300,61364698,74145256,87749619,101722342,112338625,112338626,101742203,87769254,74164562,61383939,49903413,49903412,61383933,49903409,49903407,49903418,49903419,257639607,39882447,31202469,23714663,23714664,31202471,39882451,49903423,61383943,61383944,70889107,70889106,60174784,60174783,72911652,86508084,74164565,74164566,257930262,257930260,60174787,48780292,38860005,30275368,22878100,22878101,30275369,38860006,48780294,257329790,86508082,86508078,72911647,72911646,72911654,72911671,72911645,72911644,86508076,98429772,84508273,70944677,58227461,46859658,46859657,58227459,60174793,72911664,84508279,259288877,272100704,98429770,259790172,70944666,258037753,256849589,36981095,46859660,58227467,58227471,256849591,36981097,46859662,58227470 Dl.O(d2) = 49727322,49295801,39368361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14939418, s2 = 13445358, dlinesl.size( ) = 2 s1 = 14939418, s2 = 13445358, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14939418, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 8221559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7631794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2607053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8045939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2266770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2266770, s2 = 1847592, int(edited[s2]) = 0 s1 = 2266770, s2 = 1847592, d1 = 35, d2 = 25 Dl.O(d1) = 60728737,60728738,258079590,90282645 Dl.O(d2) = 48110839,59499001,64199795,61403179,61403180,74183127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2266770, s2 = 1847592, dlinesl.size( ) = 2 s1 = 2266770, s2 = 1847592, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2266770, Dl.E( ) = 54, 1.88e-05 seconds used appending s1 = 9138706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9351135, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8033041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10208156, s2 = 8042808, int(edited[s2]) = 0 s1 = 10208156, s2 = 8042808, d1 = 45, d2 = 42 Dl.O(d1) = 87656061,87656062,259428604 Dl.O(d2) = 103532944,270971298,75672880,62726107,62726106,259580598,257716486,51093933,62726114,62726105,257131410,32171068,24585186,18141121,12864273,8748717,5696108,5696109,8748718,12864276,18141130,14229959,14229958,19861828,18166225,18166224,18402253,13071032,13071031,9342539,6119467,3828804,2293917,2293916,3828797,6119449,9342500,9530171,13888931,19413169,25151285,23097774,16842011,11778062,11778066 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14521409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14521409, s2 = 13482932, int(edited[s2]) = 0 s1 = 14521409, s2 = 13482932, d1 = 5, d2 = 12 Dl.O(d1) = 48438080,38530081,29964321,22599666,22599667,268547950,30819227,23390222,23390221 Dl.O(d2) = 73085376,60345832,60345831,255489076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14521409, s2 = 13482932, dlinesl.size( ) = 2 s1 = 14521409, s2 = 13482932, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14521409, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 2608997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8087822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13428349, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6836421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6836421, s2 = 2269328, int(edited[s2]) = 0 s1 = 6836421, s2 = 2269328, d1 = 6, d2 = 11 Dl.O(d1) = 259038384 Dl.O(d2) = 60772212,73521124,87140070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6836421, s2 = 2269328, dlinesl.size( ) = 8 s1 = 2269551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2269796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6819877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6819877, s2 = 11657993, int(edited[s2]) = 0 s1 = 6819877, s2 = 11657993, d1 = 3, d2 = 8 Dl.O(d1) = 258842907 Dl.O(d2) = 8114466,254205474,13497583,9234433,6048021,3784637,3784639,6048031,9234447,12052901,12054514,8104642,5192749,3168616,1855191,1855192,3168246,3168245,3168360,3168326,1855021,1855018,3168316,2274763,1319108,752479,427410,427407,752405,752407,1317743,751835,427125,241129,241130,427129,751847,1317770,2272272,3793467,6063067,9257455,12069057,8115774,8115776,12069064,8854935,8854934,9248749,6057224,254653891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6819877, s2 = 11657993, dlinesl.size( ) = 2 s1 = 6819877, s2 = 11657993, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6819877, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2610153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1491878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1491878, s2 = 10205085, int(edited[s2]) = 0 s1 = 1491878, s2 = 10205085, d1 = 31, d2 = 35 Dl.O(d1) = 38157807,29591582,29591581,28383431,21165602,21165601,28383428,36875338,36875339,46754576,44348153,44348154,55198724,62939409,51265925,41088646,38157833,29591601,22243095,17148507,268664961 Dl.O(d2) = 87156757,87156756,260683269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1491878, s2 = 10205085, dlinesl.size( ) = 18 s1 = 2610780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2610780, s2 = 2176833, int(edited[s2]) = 0 s1 = 2610780, s2 = 2176833, d1 = 16, d2 = 9 Dl.O(d1) = 73542147 Dl.O(d2) = 59046879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2610780, s2 = 2176833, dlinesl.size( ) = 14 s1 = 6769063, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9028762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2271519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2271519, s2 = 5783810, int(edited[s2]) = 0 s1 = 2271519, s2 = 5783810, d1 = 4, d2 = 38 Dl.O(d1) = 60808893 Dl.O(d2) = 234210174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2271519, s2 = 5783810, dlinesl.size( ) = 28 s1 = 1921766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1921766, s2 = 8175296, int(edited[s2]) = 0 s1 = 1921766, s2 = 8175296, d1 = 2, d2 = 1 Dl.O(d1) = 49752361,50515577,50515576,255999030,60813406,49752376,39733723 Dl.O(d2) = 12140797,8170302,5239387,5239386,8170301,12140796,15650169,21689700,28971764,31055820,31055813,23572313,23572312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1921766, s2 = 8175296, dlinesl.size( ) = 2 s1 = 1921766, s2 = 8175296, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1921766, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9025686, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8208707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6659471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6659471, s2 = 7746788, int(edited[s2]) = 0 s1 = 6659471, s2 = 7746788, d1 = 193, d2 = 157 Dl.O(d1) = 257037733,60860000,73609818,259474231,115308082,272248129 Dl.O(d2) = 216408664,216408663,274287525 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6659570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9282780, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13506311, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2274862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2274862, s2 = 6956925, int(edited[s2]) = 0 s1 = 2274862, s2 = 6956925, d1 = 49, d2 = 32 Dl.O(d1) = 61194561,73973117,87571341,101529193,115558629,115558616,101529185,87571338,87571339,101529189,115558620,259466890,141047237,260597095,259379239,72267852,72267851,85859549,99812830,259466888,115558617,260083226,261256938,127697448,127697447,127697445,113827930,113827931 Dl.O(d2) = 260597085,141047224,153714317,262715295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2274862, s2 = 6956925, dlinesl.size( ) = 8 s1 = 2615330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2615334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3528644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8402120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6821053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6821053, s2 = 12935655, int(edited[s2]) = 0 s1 = 6821053, s2 = 12935655, d1 = 12, d2 = 10 Dl.O(d1) = 258859913 Dl.O(d2) = 256313547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6821053, s2 = 12935655, dlinesl.size( ) = 2 s1 = 6821053, s2 = 12935655, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6821053, Dl.E( ) = 26, 3e-05 seconds used appending s1 = 1571646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1571646, s2 = 3733828, int(edited[s2]) = 0 s1 = 1571646, s2 = 3733828, d1 = 1, d2 = 1 Dl.O(d1) = 39834833,31152250,31152249,39834832,49858519,61342092,74125145,87731739,101706437,270589000,71987986,59250911,47854338,47854339,59250912,71987988,62037662,62037663,74834285,62037665,50545759,50545760,62037667,74834289,88467421,74834286,72677672,59938177,48545602,257551831,72677671,86277394,100242154,100242042,86277278,72677545,72677546,86277279,100242043,114273606,128157909,141516392,154179996,165079235,153261354,140579521,127233951,113376150,113376149,113376152,99375573,85434208,71848547,59110102,59110104,71848549,71848534,59110095,47712323,46679221,256184412,60134503,72871135,86466563,100423187,114447502,128324100,122161938,122161937,122161941,136129570,122161940,107751272,93323021,79191885,65829763,65829762,79191882,93323016,101878223,87904079,74300295,61522359,61522358,60374997,53258720,53258721,65248127,78538072,73114921,60375039,48978456,48978455,58704179,47314962,47314963,58704182,60375025,48978442,39056193,30466043,23057416,23057417,30466045,39056197,48978448,257419678,61235480,49756435,49756434,61235479,74016067,74016068,77572043,77235539,64091210,64091209,64403985,64403986,73114964,86720600,259280678,87620336,101587581,258712282,87620334,74016073,61235478,61235477,258860303,86720553,86720554,100696146,114745291,114745336,100696183,86720598,86720599,100696184,114745337,259900018,101956386,101956385,116000763,114272860,261002338,259280680,86276510,86276511,86276513,86276514,100241232,114272858,128157200,116000767,101956390,100241238,86276520,72676897,59937430,59937429,72676894,86276516,270283730,92511937,92511938,100241224,100241223,114272850,112291875,259798832,72676900,258784561,100241247,106823590,259900014,128157191,126152122,126152121,139527619,140703222,128157192,114272854,114272853,113476893,99466153,99466154,113476895,258029356,114411410,114411412,120149604,120149605,111754274,111754275,113476897,113476896,105937654,91730435,91730436,257650906,128157201,117618488,259280686,100241241,100241242,114272862,125561865,111754277,97830131,83969292,83969291,97830129,91730437,91730439,257650908,117618489,103487948,89393715,75632422,75632421,89393713,103487946,117618486,117618476,117618475,105937657,91730440,77802914,256521254,105937660,258882452,138894631,258882448,125561869,129508360,115623775,115623776,115623777,101583781,101583782,103487953,89393718,75632424,75632425,89393720,103487957,117618504,260666932,129814662,129814663,143145184,259371116,143393924,143393925,155934119,151595565,138894618,258244524,114045137,114045136,127926286,130063894,270320416,102098438,88111450,74499680,74499681,88111451,84985561,71411444,71411445,84985564,79251010,65887430,53819561,53819562,47286216,37376658,37376659,47286219,58677444,71411453,84985575,97845682,83983797,83983796,97845680,111771144,125580211,138914017,149417580,149417581,151615538,151615537,163495531,174339351,179286017,169000222,157537724,145103597,131845321,118019306,103876520,89774991,75997447,63014032,51333122,41147898,32332839,24716747,24716748,24716749,18243704,12941129,8804123,8804124,12941130,18243706,256079543,23467116,23467115,30900967,269376735,258848241,269794256,268623930,46947670,41127731,32314506,24700742,24700741,32314503,257141675,62989292,75971510,88267461,83965893,70438865,70438864,74637423,72993275,60257447,60257446,50626241,46996516,46996517,58366555,71082635,74934821,72993277,72993271,269782486,48864349,60257445,48864358,38944572,30358400,22956819,16720654,16720653,22956817,30358397,256752447,55400036,67739027,81203566,260407223,137435257,262050759,136150231,136150230,149399234,161689637,263000187,263093852,152484902,139764228,126388744,112518072,98523134,84598084,71033732,257435580,37071339,37071338,257435579,71033731,74637423,72993275,60257447,60257446,62127890,74934821,72993277,72993271,72993272,72993279,60257452,48864353,48864352,60257448,48864351,38944566,38944565,48864349,60257445,48864358,38944572,30358400,22956819,16720654,11678963,11678964,255169466,30358403,37694903,37694902,47618478,59022140,71765997,85356423,84341104,70782433,70782432,268988854,112226393,126082153,259490082,126082164,112226412,98248287,98248286,269874250,72993969,60258169,268653322,30359217,22957741,16721716,11680100,7788453,7788454,11680103,16721719,22898635,16668777,16668297,16668296,16729846,16729855,17083897,17096451,22965754,16729657,16729658,22965555,26915766,20031769,14348763,254171668,11687082,11677308,11346729,11346730,16308126,20030550,26914945,254552464,16953958,11866338,7930890,7930891,11866340,16953961,255142600,29735914,22378064,17068641,17068642,23234097,23234100,21357391,15379981,10628225,7015160,4410903,4410902,7015154,10628213,15379960,17029657,23289032,30705126,39302937,30705124,30705123,39302935,39298980,30701327,30701328,30801760,23374290,17105104,17105103,22965448,30367040,35354096,27230913,20301651,20301652,23372271,29533518,22190493,22190494,28588234,37094522,30755590,23332936,23332935,30755588,39356327,47967195,47724041,37802839,29239289,26377060,268163985,9684069,9684067,14079370,14079380,9684071,6369779,6369780,9684076,14079389,19643524,24264580,24264578,31776990,34254970,43354044,34254083,26376802,19643985,19643984,26377698,26260355,19541087,13992137,13992134,13701505,9384021,9384020,9683903,14079003,19642999,17075886,11988925,9683968,6369720,6369721,9683973,14079203,19643279,19642941,19642942,25758712,19643716,19643717,19643329,14079238,12794233,8698375,5661806,3521301,3151856,3151855,5169835,8055911,5146857,3131663,3131665,5146859,8023134,11976544,9684126,6369819,3996984,3996983,6369663,6369662,9683872,14079069,19643112,23327715,26377788,19644046,14079757,9684304,6369922,6369923,255306813,26377789,34255137,43355044,53879768,65947043,79311261,86319654,74565716,74565715,70954513,58237399,46869665,36990959,28493667,21276688,15314820,10577430,10577431,15314823,21276697,28259379,28259380,36754431,46640584,58014703,70730267,70730361,58014793,46640652,46640653,58014716,256832633,28259398,28259399,36754453,46640601,257522722,31226553,23743047,17418299,12276731,12276733,11275821,7485051,7485052,11275824,16220393,13179148,13179146,18548408,23742455,17417858,12276483,8290852,5348734,5348735 Dl.O(d2) = 39834833,31152250,31152249,39834832,49858519,61342092,74125145,87731739,101706437,270589000,71987986,59250911,47854338,47854339,59250912,71987988,62037662,62037663,74834285,62037665,50545759,50545760,62037667,74834289,88467421,74834286,72677672,59938177,48545602,257551831,72677671,86277394,100242154,100242042,86277278,72677545,72677546,86277279,100242043,114273606,128157909,141516392,154179996,165079235,153261354,140579521,127233951,113376150,113376149,113376152,99375573,85434208,71848547,59110102,59110104,71848549,71848534,59110095,47712323,46679221,256184412,60134503,72871135,86466563,100423187,114447502,128324100,122161938,122161937,122161941,136129570,122161940,107751272,93323021,79191885,65829763,65829762,79191882,93323016,101878223,87904079,74300295,61522359,61522358,60374997,53258720,53258721,65248127,78538072,73114921,60375039,48978456,48978455,58704179,47314962,47314963,58704182,60375025,48978442,39056193,30466043,23057416,23057417,30466045,39056197,48978448,257419678,61235480,49756435,49756434,61235479,74016067,74016068,77572043,77235539,64091210,64091209,64403985,64403986,73114964,86720600,259280678,87620336,101587581,258712282,87620334,74016073,61235478,61235477,258860303,86720553,86720554,100696146,114745291,114745336,100696183,86720598,86720599,100696184,114745337,259900018,101956386,101956385,116000763,114272860,261002338,259280680,86276510,86276511,86276513,86276514,100241232,114272858,128157200,116000767,101956390,100241238,86276520,72676897,59937430,59937429,72676894,86276516,270283730,92511937,92511938,100241224,100241223,114272850,112291875,259798832,72676900,258784561,100241247,106823590,259900014,128157191,126152122,126152121,139527619,140703222,128157192,114272854,114272853,113476893,99466153,99466154,113476895,258029356,114411410,114411412,120149604,120149605,111754274,111754275,113476897,113476896,105937654,91730435,91730436,257650906,128157201,117618488,259280686,100241241,100241242,114272862,125561865,111754277,97830131,83969292,83969291,97830129,91730437,91730439,257650908,117618489,103487948,89393715,75632422,75632421,89393713,103487946,117618486,117618476,117618475,105937657,91730440,77802914,256521254,105937660,258882452,138894631,258882448,125561869,129508360,115623775,115623776,115623777,101583781,101583782,103487953,89393718,75632424,75632425,89393720,103487957,117618504,260666932,129814662,129814663,143145184,259371116,143393924,143393925,155934119,151595565,138894618,258244524,114045137,114045136,127926286,130063894,270320416,102098438,88111450,74499680,74499681,88111451,84985561,71411444,71411445,84985564,79251010,65887430,53819561,53819562,47286216,37376658,37376659,47286219,58677444,71411453,84985575,97845682,83983797,83983796,97845680,111771144,125580211,138914017,149417580,149417581,151615538,151615537,163495531,174339351,179286017,169000222,157537724,145103597,131845321,118019306,103876520,89774991,75997447,63014032,51333122,41147898,32332839,24716747,24716748,24716749,18243704,12941129,8804123,8804124,12941130,18243706,256079543,23467116,23467115,30900967,269376735,258848241,269794256,268623930,46947670,41127731,32314506,24700742,24700741,32314503,257141675,62989292,75971510,88267461,83965893,70438865,70438864,74637423,72993275,60257447,60257446,50626241,46996516,46996517,58366555,71082635,74934821,72993277,72993271,269782486,48864349,60257445,48864358,38944572,30358400,22956819,16720654,16720653,22956817,30358397,256752447,55400036,67739027,81203566,260407223,137435257,262050759,136150231,136150230,149399234,161689637,263000187,263093852,152484902,139764228,126388744,112518072,98523134,84598084,71033732,257435580,37071339,37071338,257435579,71033731,74637423,72993275,60257447,60257446,62127890,74934821,72993277,72993271,72993272,72993279,60257452,48864353,48864352,60257448,48864351,38944566,38944565,48864349,60257445,48864358,38944572,30358400,22956819,16720654,11678963,11678964,255169466,30358403,37694903,37694902,47618478,59022140,71765997,85356423,84341104,70782433,70782432,268988854,112226393,126082153,259490082,126082164,112226412,98248287,98248286,269874250,72993969,60258169,268653322,30359217,22957741,16721716,11680100,7788453,7788454,11680103,16721719,22898635,16668777,16668297,16668296,16729846,16729855,17083897,17096451,22965754,16729657,16729658,22965555,26915766,20031769,14348763,254171668,11687082,11677308,11346729,11346730,16308126,20030550,26914945,254552464,16953958,11866338,7930890,7930891,11866340,16953961,255142600,29735914,22378064,17068641,17068642,23234097,23234100,21357391,15379981,10628225,7015160,4410903,4410902,7015154,10628213,15379960,17029657,23289032,30705126,39302937,30705124,30705123,39302935,39298980,30701327,30701328,30801760,23374290,17105104,17105103,22965448,30367040,35354096,27230913,20301651,20301652,23372271,29533518,22190493,22190494,28588234,37094522,30755590,23332936,23332935,30755588,39356327,47967195,47724041,37802839,29239289,26377060,268163985,9684069,9684067,14079370,14079380,9684071,6369779,6369780,9684076,14079389,19643524,24264580,24264578,31776990,34254970,43354044,34254083,26376802,19643985,19643984,26377698,26260355,19541087,13992137,13992134,13701505,9384021,9384020,9683903,14079003,19642999,17075886,11988925,9683968,6369720,6369721,9683973,14079203,19643279,19642941,19642942,25758712,19643716,19643717,19643329,14079238,12794233,8698375,5661806,3521301,3151856,3151855,5169835,8055911,5146857,3131663,3131665,5146859,8023134,11976544,9684126,6369819,3996984,3996983,6369663,6369662,9683872,14079069,19643112,23327715,26377788,19644046,14079757,9684304,6369922,6369923,255306813,26377789,34255137,43355044,53879768,65947043,79311261,86319654,74565716,74565715,70954513,58237399,46869665,36990959,28493667,21276688,15314820,10577430,10577431,15314823,21276697,28259379,28259380,36754431,46640584,58014703,70730267,70730361,58014793,46640652,46640653,58014716,256832633,28259398,28259399,36754453,46640601,257522722,31226553,23743047,17418299,12276731,12276733,11275821,7485051,7485052,11275824,16220393,13179148,13179146,18548408,23742455,17417858,12276483,8290852,5348734,5348735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1571646, s2 = 3733828, dlinesl.size( ) = 2 s1 = 1571646, s2 = 3733828, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1571646, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13237221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13237221, s2 = 2474352, int(edited[s2]) = 0 s1 = 13237221, s2 = 2474352, d1 = 9, d2 = 3 Dl.O(d1) = 28615002,28661816,21416911,15872258,12840806,12840807 Dl.O(d2) = 70785996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13237221, s2 = 2474352, dlinesl.size( ) = 2 s1 = 13237221, s2 = 2474352, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13237221, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 10195114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162523, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6821596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2619906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2619906, s2 = 2280312, int(edited[s2]) = 0 s1 = 2619906, s2 = 2280312, d1 = 0, d2 = 0 Dl.O(d1) = 74086399,61305131 Dl.O(d2) = 74086399,61305131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2619906, s2 = 2280312, dlinesl.size( ) = 2 s1 = 2619906, s2 = 2280312, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2619906, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 6660525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1811406, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15157089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157089, s2 = 2621455, int(edited[s2]) = 0 s1 = 15157089, s2 = 2621455, d1 = 0, d2 = 0 Dl.O(d1) = 35433554,27301030,20361955,20361954,23821628,17485435,17485433,20362028,14615448,12313629,8317452,5367131,5367130,8317450,5367133,3299615,1940706,254134947,622135,1108583,1940708,1727408,982005,982004,1727406,2976335,4933451,3277460,3277459,1929483,1929484,3280318,5336380,8256162,5327096,3274369,1925953,1925954,3274371,3279867,5335661,8264630,5332254,3277593,1927854,1101491,1101492,1927857,3277598,5332260,5366928,5366927,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299129,5335757,3279950,3279947,5335793,5533512,3418967,2018840,1155032,648016,648014,254190821,3418954,5533429,3418909,3418910,254610361,5365611,5365612,8315601,12311398,16164752,11231935,11231934,12300080,12227808,255164235,12242100,254588167,5334409,7452624,8317357,12313498,12273612,12273611,17414797,12273694,255042873,7107268,7107267,10757445,12233308,12313322,8317235,5366985,5366986,254847715,254411341,3387801,254606311,12534865,12531528,9771661,8531336,5529428,3415380,3415384,3764309,2255374,2255373,3764306,6017436,9191892,8576805,5598928,5527873,3413871,3413868,3375742,3375743,5484855,8484247,8492346,5505125,5505124,3456506,2048994,1175065,659649,659648,1164508,653502,362350,362349,642881,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,1153689,1152006,646545,358764,196477,195818,195816,357486,644092,1148127,2008029,2039698,3444908,3780540,3431958,2029512,1162116,1162114,1182001,2059643,2059639,3449310,3388319,1996118,1140744,639924,355251,194708,194707,353754,636920,1135118,1986815,3375699,5484786,8484146,8534841,5532995,5518217,3404899,3404897,5518213,5494107,254413379,2007886,2007884,3404519,3386672,1994886,1140005,639550,639548,1139999,1994873,3386617,3386618,3448209,5564541,5527944,3413925,2014988,2014990,3413935,5527966,5483580,5483581,5495947,5495946,5550107,5550110,3452120,3452124,5568210,5495635,3385648,1994200,1139624,639349,354988,354990,639360,1139655,1993511,1139217,639144,639143,639128,639129,1139161,1993170,3384277,5490834,5490835,8489926,8493319,8493320,12532037,8496548,5497954,3387750,3387751,5497956,6043020,9227084,9189917,9189918,13440260,14995951,14995952,20900410,17831545,15754494,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,23576241,19515354,19515357,25684124,254681802,254952425,9592759,13658678,13658677,19129449,25769268,33558632,42575440,53015748,64990869,78264452,92291564,106589885,120838327,134635495,147766067,160029665,171265917,181302337,263737385,197727569,204212490,209623363,214063509,217709101,216489061,265239507,212568231,264276867,195033375,186947778,177666573,167167150,155534291,142984378,129655588,115757462,270898455,74131295,61349499,257053787,268436883,17354064,12225288,8254096,8254099,12225300,17354098,23673580,22360133,16207452,16207453,20923627,28099114,29714772,29714773,29717835,29717834,31162049,269393839,49867425,258245583,74131293,87737056,101711220,260704825,142984377,155534290 Dl.O(d2) = 35433554,27301030,20361955,20361954,23821628,17485435,17485433,20362028,14615448,12313629,8317452,5367131,5367130,8317450,5367133,3299615,1940706,254134947,622135,1108583,1940708,1727408,982005,982004,1727406,2976335,4933451,3277460,3277459,1929483,1929484,3280318,5336380,8256162,5327096,3274369,1925953,1925954,3274371,3279867,5335661,8264630,5332254,3277593,1927854,1101491,1101492,1927857,3277598,5332260,5366928,5366927,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299129,5335757,3279950,3279947,5335793,5533512,3418967,2018840,1155032,648016,648014,254190821,3418954,5533429,3418909,3418910,254610361,5365611,5365612,8315601,12311398,16164752,11231935,11231934,12300080,12227808,255164235,12242100,254588167,5334409,7452624,8317357,12313498,12273612,12273611,17414797,12273694,255042873,7107268,7107267,10757445,12233308,12313322,8317235,5366985,5366986,254847715,254411341,3387801,254606311,12534865,12531528,9771661,8531336,5529428,3415380,3415384,3764309,2255374,2255373,3764306,6017436,9191892,8576805,5598928,5527873,3413871,3413868,3375742,3375743,5484855,8484247,8492346,5505125,5505124,3456506,2048994,1175065,659649,659648,1164508,653502,362350,362349,642881,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,1153689,1152006,646545,358764,196477,195818,195816,357486,644092,1148127,2008029,2039698,3444908,3780540,3431958,2029512,1162116,1162114,1182001,2059643,2059639,3449310,3388319,1996118,1140744,639924,355251,194708,194707,353754,636920,1135118,1986815,3375699,5484786,8484146,8534841,5532995,5518217,3404899,3404897,5518213,5494107,254413379,2007886,2007884,3404519,3386672,1994886,1140005,639550,639548,1139999,1994873,3386617,3386618,3448209,5564541,5527944,3413925,2014988,2014990,3413935,5527966,5483580,5483581,5495947,5495946,5550107,5550110,3452120,3452124,5568210,5495635,3385648,1994200,1139624,639349,354988,354990,639360,1139655,1993511,1139217,639144,639143,639128,639129,1139161,1993170,3384277,5490834,5490835,8489926,8493319,8493320,12532037,8496548,5497954,3387750,3387751,5497956,6043020,9227084,9189917,9189918,13440260,14995951,14995952,20900410,17831545,15754494,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,23576241,19515354,19515357,25684124,254681802,254952425,9592759,13658678,13658677,19129449,25769268,33558632,42575440,53015748,64990869,78264452,92291564,106589885,120838327,134635495,147766067,160029665,171265917,181302337,263737385,197727569,204212490,209623363,214063509,217709101,216489061,265239507,212568231,264276867,195033375,186947778,177666573,167167150,155534291,142984378,129655588,115757462,270898455,74131295,61349499,257053787,268436883,17354064,12225288,8254096,8254099,12225300,17354098,23673580,22360133,16207452,16207453,20923627,28099114,29714772,29714773,29717835,29717834,31162049,269393839,49867425,258245583,74131293,87737056,101711220,260704825,142984377,155534290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157089, s2 = 2621455, dlinesl.size( ) = 2 s1 = 15157089, s2 = 2621455, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15157089, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 365331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 365331, s2 = 15430567, int(edited[s2]) = 0 s1 = 365331, s2 = 15430567, d1 = 1, d2 = 1 Dl.O(d1) = 8917551,6011598,6011594,9185008,13434274,18855515,254952300,32646911,32646912,41534552,51813760,57710948,46361658,36503548,28040164,20872123,14969880,10302060,6774257,4246171,2538708,2538707,4246170,6774254,10302054,14969870,14964895,10297323,267877955,2534208,1460364,1460365,2534214,2567770,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243709,5373457,8326057,12325659,10264956,10264957,8132596,5210376,254576323,12093155,17197729,19592828,14038385,9652298,6346675,6346676,5931968,5931969,6838668,6838669,4290930,2565414,1477236,835225,835224,1477234,2565410,4290927,6838816,9058095,5922219,5922218,9058093,10355301,10355300,254304832,9344028,13288648,18681446,254938012,41914817,52252733,59592819,48206284,48206283,256459456,32849489,41770507,257765629,77015460,90895425,101712137,258297314,61350214,74132063,74132066,74132067,87737905,101712143,271855877,127783814,141140713,153814100,153814101,141140715,127783816,113909370,99891036,99891037,113909371,113909368,259385173,259385175,85935997,72342283,59607886,59607885,72342287,66924764,54668286,43925826,34652522,26660948,26660947,34652520,43925824,34652525,26660950,19846340,14218468,9774956,6427155,4032296,4032298,6427161,9774964,14218463,19846330,19846331,26660937,34652509,38012822,29450703,29450702,26697257,26697256,24339250,17948980,12718934,12718930,255599575,14234809,14234808,10626563,10626565,15377886,21354694,21431246,21431247,28680233,37203561,43939058,34664929,26671820,26671818,34664925,43939049,54681633,66937941,80363340,259765555,112964175,112964176,261122207,262190019,173280147,173280146,263425375,186946737,195032425,201950819,195032424,186946736,262801190,142983154,129654409,115756192,101709806,101709807,99556061,87238682,87238683,87187076,73568495,60821461,60821460,59279866,59279864,47883344,47883342,39767849,31089268,23604809,23604808,31089264,38431888,38431887,36950719,36950717,46828738,58194709,70907371,84463641,87649459,74046376,70907364,58194698,58194699,61266601,74046338,74216464,61437295,49959408,49959407,61437285,258253399,60526419,49125526,256468135,29030080,21739201,21739202,21739197,21739198,29030077,24553311,24553312,32134371,40912170,39942508,31267803,23782711,23782715,28920832,31089311,31089310,39767922,49787682,58751768,61266491,61266506,61266495,61266496,61266653,49787716,39767944,39767805,31089224,268228056,12170557,8202574,5273574,3227864,1892672,1892673,3227867,5273580,8202583,12170575,17291769,23604844,256502019,38484300,39767937,39767936,49787471,39767752,31089241,31089240,39767822,49787558,61266462,49787490,49787489,44479229,44479230,55325417,58785092,71515162,60479073,49075977,39146206,39146207,49075981,39767809,31089227,31089226,31089181,23604761,255096914,12170551,17291732,23604758,31089176,39767728,39767965,31089335,31089334,39767962,269345254,49787746,61266690,61346531,55325394,55325395,61346558,67665390,81132204,71464950,71464951,61266675,61266674,61266519,49787555,268640092,31089239,31089329,31089328,39767950,49787726,61266440,49787462,49787463,49787508,39767782,39767784,257053513,49787510,61266484,74046220,61266437,61266436,61346524,61346523,49864224,39841094,31158453,23670375,23670374,31158451,38286909,38286908,48195980,48195987,48750328,38830323,38830322,38286900,38286899,48195971,48195978,59582353,59582356,48195995,38286925,29720565,22364471,255090035,4727451,7480465,11268778,16210854,22364468,29720560,31158604,23670489,23670490,29720555,22364464 Dl.O(d2) = 8917551,6011598,6011594,9185008,13434274,18855515,254952300,32646911,32646912,41534552,51813760,57710948,46361658,36503548,28040164,20872123,14969880,10302060,6774257,4246171,2538708,2538707,4246170,6774254,10302054,14969870,14964895,10297323,267877955,2534208,1460364,1460365,2534214,2567770,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243709,5373457,8326057,12325659,10264956,10264957,8132596,5210376,254576323,12093155,17197729,19592828,14038385,9652298,6346675,6346676,5931968,5931969,6838668,6838669,4290930,2565414,1477236,835225,835224,1477234,2565410,4290927,6838816,9058095,5922219,5922218,9058093,10355301,10355300,254304832,9344028,13288648,18681446,254938012,41914817,52252733,59592819,48206284,48206283,256459456,32849489,41770507,257765629,77015460,90895425,101712137,258297314,61350214,74132063,74132066,74132067,87737905,101712143,271855877,127783814,141140713,153814100,153814101,141140715,127783816,113909370,99891036,99891037,113909371,113909368,259385173,259385175,85935997,72342283,59607886,59607885,72342287,66924764,54668286,43925826,34652522,26660948,26660947,34652520,43925824,34652525,26660950,19846340,14218468,9774956,6427155,4032296,4032298,6427161,9774964,14218463,19846330,19846331,26660937,34652509,38012822,29450703,29450702,26697257,26697256,24339250,17948980,12718934,12718930,255599575,14234809,14234808,10626563,10626565,15377886,21354694,21431246,21431247,28680233,37203561,43939058,34664929,26671820,26671818,34664925,43939049,54681633,66937941,80363340,259765555,112964175,112964176,261122207,262190019,173280147,173280146,263425375,186946737,195032425,201950819,195032424,186946736,262801190,142983154,129654409,115756192,101709806,101709807,99556061,87238682,87238683,87187076,73568495,60821461,60821460,59279866,59279864,47883344,47883342,39767849,31089268,23604809,23604808,31089264,38431888,38431887,36950719,36950717,46828738,58194709,70907371,84463641,87649459,74046376,70907364,58194698,58194699,61266601,74046338,74216464,61437295,49959408,49959407,61437285,258253399,60526419,49125526,256468135,29030080,21739201,21739202,21739197,21739198,29030077,24553311,24553312,32134371,40912170,39942508,31267803,23782711,23782715,28920832,31089311,31089310,39767922,49787682,58751768,61266491,61266506,61266495,61266496,61266653,49787716,39767944,39767805,31089224,268228056,12170557,8202574,5273574,3227864,1892672,1892673,3227867,5273580,8202583,12170575,17291769,23604844,256502019,38484300,39767937,39767936,49787471,39767752,31089241,31089240,39767822,49787558,61266462,49787490,49787489,44479229,44479230,55325417,58785092,71515162,60479073,49075977,39146206,39146207,49075981,39767809,31089227,31089226,31089181,23604761,255096914,12170551,17291732,23604758,31089176,39767728,39767965,31089335,31089334,39767962,269345254,49787746,61266690,61346531,55325394,55325395,61346558,67665390,81132204,71464950,71464951,61266675,61266674,61266519,49787555,268640092,31089239,31089329,31089328,39767950,49787726,61266440,49787462,49787463,49787508,39767782,39767784,257053513,49787510,61266484,74046220,61266437,61266436,61346524,61346523,49864224,39841094,31158453,23670375,23670374,31158451,38286909,38286908,48195980,48195987,48750328,38830323,38830322,38286900,38286899,48195971,48195978,59582353,59582356,48195995,38286925,29720565,22364471,255090035,4727451,7480465,11268778,16210854,22364468,29720560,31158604,23670489,23670490,29720555,22364464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 365331, s2 = 15430567, dlinesl.size( ) = 2 s1 = 365331, s2 = 15430567, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 365331, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 13744037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2283043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2283074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10162085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10162085, s2 = 2283709, int(edited[s2]) = 0 s1 = 10162085, s2 = 2283709, d1 = 2, d2 = 1 Dl.O(d1) = 31195485,31195486 Dl.O(d2) = 61378496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162085, s2 = 2283709, dlinesl.size( ) = 2 s1 = 10162085, s2 = 2283709, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10162085, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9484898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9484898, s2 = 16318254, int(edited[s2]) = 0 s1 = 9484898, s2 = 16318254, d1 = 115, d2 = 129 Dl.O(d1) = 254726991,4376770,4376771,6966632,10562470,15297958,21261239,25569693,18959922,15270259,15270256,17151804,12055296,12055298,17151807,12059979,8108703,8108702,12059975,12070359,12069471,8116077,8116078,11746710,16799978,12374688,8362162,5397430,3318929,3318928,5397425,8362154,12064612,8112329,5197283,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059211,6059215,6060504,6067344,6067343,9263449,6965040,6965041,10558686,254853686,21213280,15279150,10545238,6954583,4369712,2617987,1511528,857074,483987,483988,857076,1511532,2617993,4369716,6954587,10545242,15279159,13509671,9243703,6054142,6054141,9243700 Dl.O(d2) = 26936391,20050427,14364871,9871513,6502561,254688241,4075941,4075944,5075978,5075977,7976454,11922288,11922438,7976617,7976616,7576441,4791956,4535132,2726082,1579524,897965,506632,284111,284112,506638,898054,753886,428276,428279,753893,1321436,2278575,3803918,6079279,268027877,15721360,10884849,7197377,7197376,10884847,268214749,11415060,255092023,11291773,11415054,11421217,11437567,11418494,7589030,4800374,4800373,4129479,2470192,1427776,1427777,2470197,3535924,2104627,2104629,1680135,1680136,2895222,3535535,5683570,8730132,12838126,18105564,256066557,40890564,51027979,62654020,75596296,89357387,103452645,117583010,131383297,144606341,157004487,168451385,178757448,187861866,195802010,201404796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9484898, s2 = 16318254, dlinesl.size( ) = 46 s1 = 8200407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8200407, s2 = 11240734, int(edited[s2]) = 0 s1 = 8200407, s2 = 11240734, d1 = 89, d2 = 100 Dl.O(d1) = 49899069,61379583 Dl.O(d2) = 87762721,87762722,271765744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8200407, s2 = 11240734, dlinesl.size( ) = 94 s1 = 9119809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13236379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13236379, s2 = 13595678, int(edited[s2]) = 0 s1 = 13236379, s2 = 13595678, d1 = 65, d2 = 61 Dl.O(d1) = 47644624,37722581,37722580,43221533,41699101,32782741,32782742,41699103,41699105,52010735,53109119,53109118,63772413,51957561,41650723,41650722,42675491,33646221,25842916,19188919,16451732,16451733,19188989,13704419,13704418,19188987,25843031,25842907,19188913,19188915,25842910,33646210,33646218,42675487,48501310,38586492,30014128,25842782,19188849,13704335,13704336,19188851,25842786,31868734,31868733,40571333,42675522,42675521,256156625,19188944,13704388,13704387,19188942,25842955,33646296,38585254,42675727,33646409,33646408,40571746,42675523,53126050,65095929,72636323,65112025,53126496,42675771,42675265,33646048,25842806,25842805,33646045,42675259,42675289,33646072,256673813,257823585,53126024,65111692,78394597,92431518,106737509,120086467,120086468,261332980,106737512,106737511,99322374,85377709,85377711,91665372,77737618,77737619,67683281,55343569,55343568,67683278,81149194,69306228,56739505,56739504,69306227,70826163,58111030,46740887,36859203,36859201,46740883,58111026,68541568,56075675,46192191,36366595,27926451,20776614,14891520,10239518,6727858,6727859,10239520,14891523,20776620,27926465,36366623,256673878,72118069,71861697,59123173,47724966,47724965,59123170,71861691,85446852,87186762,85906393,74272711,61495783,50017733,257649537,71108989,58392237,58392236,61495879,67829440,256673948,84778057,84778058,95243409,95243410,85064992,85064991,270022626,55798121,55798122,68224907,71109327,58392527,255600100,28621380,28621381,37133632,47021250,58392541,61495831,61495830,58487244,58487242,63965401,52142439,52142440,63965405,77082191,90968069,84778093,74161415,61380890,49900257,49900256,61380885 Dl.O(d2) = 71108985,84672104,98595249,112588536,115892336,257693288,98705891,98705890,257693284,101710194,87735855,74130002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7930729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7930729, s2 = 14573822, int(edited[s2]) = 0 s1 = 7930729, s2 = 14573822, d1 = 6, d2 = 6 Dl.O(d1) = 5582741,5582738,8592003,12655186,11151368,7745227,4904791,4904792,7745238,11151470,11151468,11314621,7512688,4749129,2862160,1661140,945132,533069,533068,945122,1661102,2862080,4748998,7512451,9367783,6136089,6136086,8283679,8283683,12266576,17405976,23729980,257057753,61392489,74173149 Dl.O(d2) = 5582741,5582738,8592003,12655186,11151368,7745227,4904791,4904792,7745238,11151470,11151468,11314621,7512688,4749129,2862160,1661140,945132,533069,533068,945122,1661102,2862080,4748998,7512451,9367783,6136089,6136086,8283679,8283683,12266576,17405976,23729980,257057753,61392489,74173149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7930729, s2 = 14573822, dlinesl.size( ) = 2 s1 = 7930729, s2 = 14573822, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7930729, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 13404321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14592193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6621168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6621168, s2 = 7153951, int(edited[s2]) = 0 s1 = 6621168, s2 = 7153951, d1 = 16, d2 = 23 Dl.O(d1) = 256627756 Dl.O(d2) = 264600920,264020716,263300962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2285300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235862, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13560513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8058503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1761770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164438, s2 = 14164165, int(edited[s2]) = 0 s1 = 14164438, s2 = 14164165, d1 = 10, d2 = 20 Dl.O(d1) = 64382314,52508943,42151304,33192546,33192547,37797734,255871833,21917686,29235176,22127164,16012499,16012500,18850009,13430285,13430286,18850016,25447285,33189670,25444172,18847188,13995634,13995633,19545197,26265424,33192635,31494994,23997614,23997617,31494999,29235204,21917701,21917702,17324805,17324804,23641511,31128892,25447568,18850193,13430383,13430385,16012520,11117179,11117178,16012513,18850113,18850112,25447396,21918517,21918516,29234510,29234511,37797044,29234539,29234540,29234552,29462083,25447239,18849988,13430267,13430157,9182231,6009857,6009855,9182223,13430142,18849818,21917779,21917777,15836834,10974504,10974505,15836842,21922052,29241145,25447300,25447301,33192646,25447512,25443360,22127337,255872353,255752788,15836202,21921085,16013781,11118152,7374222,7374223,11118154,16013784,17932816,17932815,24319744,31839027,40536914,33191192,25445981,18848897,18848898,25445982,25445959,20207880,14500627,10974063,10974062,15833170,15833291,15833293,21916680,29233962,21920022,21920021,22127003,22127002,16012438,16012439,11479236,11479237,16475454,18849062,13429611,13429612,18849069,21922849,23997554,17653589,17653586,23997548,31493817,33190930,27108400,20207770,14500562,13428569,13428571,18847607,15837425,10974860,7264112,7264113,10974866,15837436,21922921,23083077,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216 Dl.O(d2) = 74856891,62057859,50565188,40528639,31831255,31831257,40528642,50565195,53200623,42751600,42751599,53200621,258444703,78469736,65185732,53200620,42751598,33722257,33722256,42751596,53200594,257827757,78469716,74933728,62126584,50624477,40580059,31875631,24350974,24350975,31875634,40580063,50624474,40580056,40580057,33758795,31875591,31875590,40580013,31875596,31875597,40580024,38535096,256949384,40580037,40580038,50624455,50624498,40580071,31875639,31875638,40580069,40580046,31875624,24350966,24350967,31875626,40580051,39041745,30452317,30452316,39041742,48963053,257693985,256561771,24350945,17958318,12725932,8647145,5624089,3494201,3494202,5624091,268006737,17958336,24350980,31875641,32163834,32163833,40942785,257716061,259551609,74933715,62126557,50624458,50624457,50624443,40580027,40580028,50624445,62126572,62126581,60358240,60358238,73096407,62126561,50624432,256561769,24350941,17958311,17958312,24350943,24350968,24350969,268462259,31875616,256561765,31875566,32163836,32163837,38535086,31875610,31875611,40580034,40580081,40579982,40579981,31875556,24350913,17958289,17958288,24350910,31875553,31875563,31875562,31875561,40579987,38211193,29644440,25915359,19253199,19253200,24350924,24350925,31875570,40579985,31875559,24350915,24350916,24578641,18136005,18136004,24578639,18136008,12860328,12860327,18136007,24578644,32163827,38211194,29644441,22292433,16147865,11218525,11218524,16147863,22292429,23044281,23044282,30452523,39041888,39041752,39041751,30452487,30452488,256457311,23044249,255128609,7841860,4977846,4977847,7841863,11745547,16798588,23044256,30452498,30452461,30452462,33758799,25950875,19286655,13787779,9453548,6197949,6197948,254943577,19286645,25950868,33758796,30452435,23044192,16798520,16798521,23044194,23044240,23044171,16798500,11745477,11745478,7841824,7841825,11745484,16798370,11745362,11745361,11746070,11745372,11745371,7841889,7841888,11745583,267985127,4977814,3007030,1746943,1746944,3007015,254555559,7869294,7842384,7841858,4977845,254248625,993489,993490,1746957,3007053,4977860,7841884,11745579,16798636,23044321,30452428,23044185,16798514,11745486,11745488,16798517,16799512,16798579,11745537,7842338,4978147,3007214,3007215,4978149,7841919,4977878,4977879,7841921,11745635,16798685,23044366,30452606,38666243,38538077,29971914,22606852,16423810,16423811,22606855,24459230,18040542,12788221,12788222,16502822,11498978,11498979,9499886,6231017,3901127,3901128,6231019,9499890,11785618,16852188,23110758,30453984,254425920,22707025,22707026,30088902,38666244,38804745,30221259,22829222,16608174,11583435,11583434,16608172,22829218,26896514,26896513,31677341,37717702,29157672,21849227,21849228,18299645,254204562,7016857,7016856,10630369,15382720,21361080,254607636,21018264,15095817,10411414,10411413,15095811,14334692,254188830,14334558,20014847,26896593,24071291,17715041,17715040,18833500,24060647,24060646,24133752,24133753,24070173,17715081,17715080,19700826,24067789,17711964,12555707,12555711,8512920,5511824,3399302,3399301,5511817,8512910,8512830,5511777,5511778,8512833,8613110,8613113,12551687,17739533,24098342,31602691,31705101,24197494,24186989,17818422,17817880,254188898,5560288,3445021,3445019,5560275,3445045,3445049,3763916,3763919,6016947,9191320,13441997,18865135,24067125,17711343,17711344,24067128,22948614,16711856,11670374,11670373,268237209,24195270,22664131,16469315,16469314,22664129,18833175,13418298,13418299,18833178,268741909,13390312,9154102,5990962,3746216,3746217,267929991,268948580,64266023,77416007,84762361,71193965,58472440,47094529,37198643,28675929,21427750,267744704,16369900,18728330,18728331,25303388,33029607,38455976,38455977,48357712,38457716,38457718,267831374,28419850,28419847,36917700,46795478,41796354,32875004,254888476,25157048,25157049,254619928,32859240,41373746,254880930,25162641,25883538,25883535,24158012,17790818,12592161,12592160,17790817,18610247,25168314,32860253,25153546,25153545,32860252,41780662,41876356,52205021,51814514,41535293,32861595,25154898,25154899,30093059,22711489,22711490,24976223,18456003,18456004,24976224,32647751,41535292,48586348,41781980,32861604,32861603,41781977,52095125,58861902,71585734,58861898,47479348,41332180,41332179,48586297,38670197,255232300,22711483,30093048,38670199,48586302,51598790,52139758,52139759,268704886,37573627,37573628,47479358,41657037,41657036,48586347,47402888,47402770,37494870,28952313,255488862,10819643,7150536,7150537,10819648,15635020,21672206,28952349,37494908,37494910,28952351,256345065,39303865,39303863,257466918,47402815,256429436,28952373,21672279,255108146,7150558,7150559,10819687,255419061,28952437,37494992,37494967,37494964,47402739,37494837,28952285,28952284,37494836,35225204,27131396,27131397,28952391,21672246,15635052,15635053,21672249,28952395,37494948,47402826,37494953,37494956,39799974,39799976,37494794,37494793,42486100,37952882,29387990,29387991,37952886,47871043,52892473,42486038,33490130,256041506,52892475,42486088,33490163,25715034,19086697,255682459,33490155,42486081,46795475,42486075,42486074,256414186,72309240,78007136,78007137,78007141,64813591,52892502,42486053,42486052,52892501,52892563,52892562,64813647,55454737,55454738,67796662,81264688,81264687,78007178,78007177,78007189,78007190,91928735,86993305,73377851,73377852,78007138,91928750,259320914,47752068,37829694,29263988,21942358,21942360,25259936,20851096,14950701,10322391,6791698,6791697,10322389,14991183,15000480,15000478,257913937,44504328,35126687,35126688,44504331,256229775,20217907,20217909,255356387,14905478,255781025,36418428,44595832,37037545,256076913,8789135,268277067,24682107,32292428,30363538,22961952,22961953,28211644,255012206,15095568,10411277,6862944,4307159,4307160,6862946,10411279,6862974,4307172,254220809,838941,472976,472977,838944,1483371,2575479,4307189,6863005,10411382,15095760,15095572,15095571,21017887,28211249,256828237,36702786,28211555,28211556,36702790,36702823,28211582,21018124,15095728,10411359,6862990,6862989,10411357,15095723,21018117,28211574,36702814,46589733,257199744,21471084,15468831,10696041,7066280,4449049,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822116,15638907,255147438,33207169,25459491,18859717,13437239,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,23316308,17052567,11962631,8007765,5097742,5097743,8007770,11962637,17052582,23316341,30735604,39333219,49258427,39333143,30735465,23316255,17052538,17052539,23316261,30735415,23316227,17052524,17052521,23316219,30735406,38043304,29480097,22142554,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,256400175,23313874,17050896,255529785,30732803,29480751,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327196,29678395,29678390,22327190,22327191,18861676,18861677,25461966,33209826,28288875,28288876,36785335,46671451,58046509,58046537,46671489,255413406,21082628,21082629,21470844,21470845,28727993,37259873,29340737,22008979,15907598,15907597,22008976,18036162,12784825,8691199,8691197,9000756,12679981,257103699,58695623,58695622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164438, s2 = 14164165, dlinesl.size( ) = 2 s1 = 14164438, s2 = 14164165, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164438, Dl.E( ) = 22, 1.79e-05 seconds used appending s1 = 14164468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164468, s2 = 2289464, int(edited[s2]) = 0 s1 = 14164468, s2 = 2289464, d1 = 6, d2 = 6 Dl.O(d1) = 102490883,88484115,74848390,62050196,50557763,40521391,31824408,31824407,40521390,257689587,74848389,88484113,87846577,74241823,61463033 Dl.O(d2) = 102490883,88484115,74848390,62050196,50557763,40521391,31824408,31824407,40521390,257689587,74848389,88484113,87846577,74241823,61463033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164468, s2 = 2289464, dlinesl.size( ) = 2 s1 = 14164468, s2 = 2289464, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164468, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 2628637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2289934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2289934, s2 = 4017159, int(edited[s2]) = 0 s1 = 2289934, s2 = 4017159, d1 = 115, d2 = 109 Dl.O(d1) = 61471112,74249343,87854005,93466566,257420842,53905332,43381566,34282876,34282877,29341174,29341175,31891770,31891769,38282711,48192114,59578540,72313195,85906728,99862430,113881437,127757197,141114793,127757196,127757197,141114795,153788216,153419808,140738484,140738485,153419809,165222182,153788213,141114791,141114792,153419807,140738484,127382552,113512578,260575053,140738482,153419806,153788215,153788212 Dl.O(d2) = 105541288,260863391,133644162,146897419,159268364,170603623,170924144,159599133,147243289,134026104,120192452,105991780,91797076,77874631,64685048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2289934, s2 = 4017159, dlinesl.size( ) = 2 s1 = 2289934, s2 = 4017159, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2289934, Dl.E( ) = 122, 3e-05 seconds used appending s1 = 2628835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9479226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2629399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2629399, s2 = 7813177, int(edited[s2]) = 0 s1 = 2629399, s2 = 7813177, d1 = 15, d2 = 19 Dl.O(d1) = 74264755 Dl.O(d2) = 254185454,623578,346563,346567,623586,1111103,1944864,3305883,5376176,5381069,8337108,6818091,6818093,9386828,6149706,5950398,5924509,5924508,9060981,13274680,9059427,9059428,13274683,10361969,9128215,5973510,5973508,9081326,9081327,13299745,15042482,10369759,6831991,6831992,10317764,14986268,20889800,18700194,18700193,20942901,15034388,15034389,255795013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2629399, s2 = 7813177, dlinesl.size( ) = 20 s1 = 2629707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2629707, s2 = 7768021, int(edited[s2]) = 0 s1 = 2629707, s2 = 7768021, d1 = 56, d2 = 213 Dl.O(d1) = 74269943 Dl.O(d2) = 229547077,231012257,274657398 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8521264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6862477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657200, s2 = 16269684, int(edited[s2]) = 0 s1 = 11657200, s2 = 16269684, d1 = 23, d2 = 35 Dl.O(d1) = 142127861 Dl.O(d2) = 26012987,33831008,42872162,53333334,65330867,259080401,107013879,121306139,135155933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657200, s2 = 16269684, dlinesl.size( ) = 2 s1 = 11657200, s2 = 16269684, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657200, Dl.E( ) = 40, 1e-05 seconds used appending s1 = 13611583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9688746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2293624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8217028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8217028, s2 = 3850308, int(edited[s2]) = 0 s1 = 8217028, s2 = 3850308, d1 = 122, d2 = 20 Dl.O(d1) = 256598577,24814139,18324565,18324566,257738511,258427700,74339738 Dl.O(d2) = 138306290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8217028, s2 = 3850308, dlinesl.size( ) = 2 s1 = 8217028, s2 = 3850308, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8217028, Dl.E( ) = 148, 5.79e-05 seconds used appending s1 = 8313189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2294690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6716612, s2 = 2635710, int(edited[s2]) = 0 s1 = 6716612, s2 = 2635710, d1 = 24, d2 = 46 Dl.O(d1) = 257655089,40068801,31386283,31386282,40068800,50090041,61570066,61570127 Dl.O(d2) = 87974421,92439960,258646522,65121664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 2295195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6870669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6870669, s2 = 13119309, int(edited[s2]) = 0 s1 = 6870669, s2 = 13119309, d1 = 106, d2 = 57 Dl.O(d1) = 259465468,81260262,67791620,67791619,72867962,72867963 Dl.O(d2) = 244589366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6870669, s2 = 13119309, dlinesl.size( ) = 22 s1 = 6589869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8185885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9097109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2298021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2298021, s2 = 8622566, int(edited[s2]) = 0 s1 = 2298021, s2 = 8622566, d1 = 4, d2 = 26 Dl.O(d1) = 61610201 Dl.O(d2) = 262347129,177913317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352646, s2 = 13362142, int(edited[s2]) = 0 s1 = 10352646, s2 = 13362142, d1 = 7, d2 = 7 Dl.O(d1) = 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69,8399293,8399291,12427267,268257501,257076429,61625108,61625212,257692526,61625168,50143547,50143548,52010820,52010819,63826534,59267684,47871970,37953629,31442795,31442794,38125187,38125186,31442789,255571649,12427281,8399296,5420103,5420102,8399295,12427275,17605655,23951375,31442764,31442886,23951452,17605700,12427303,12427305,17605704,23951458,31442891,40122177,50143295,50143333,268653716,40122505,50143279,50143280,61625224,61625209,50143247,40122132,31442852,31442853,40122134,50143249,50111740,40091195,31411404,31411405,31442843,23951417,17605681,12427293,12427294,17605683,23951421,23951793,31411401,31411400,40091193,50111736,50143241,50143240,40122637,40122395,31443089,23951592,17605789,17605787,23951590,31443086,31443128,23951627,17605810,17605809,23951626,31443126,40122259,31442979,23951521,17605743,17605744,23951522,31442981,40122108,31442973,31442974,40122115,31442837,23951413,17605679,17605678,23951411,31442834,40122113,50143226,50143354,50143505,268689590,31443117,40122415,50111743,40091199,40091198,50111742,42385318,33396471,33396469,40335434,40335435,50143223,50143224,61625199,50143509,40122419,40122418,38704159,30127418,30127419,38704160,42385332,39922295,39922294,49940046,40335432,40335431,50362581,50143502,40921054,40921053,51061601,52784538,42385340,33396490,33396491,42385342,49093986,39164023,39164024,42385355,33396508,33396509,39349318,40122129,40335510,40335511,50362657,52784545,50362679,50362678,48652936,38731896,256978117,42385349,50362610,52784563,52784562,61417958,49940048,39922297,39922298,33396570,33396571,36958328,36958329,40122628,31443326,31443327,40122632,269356110,52784536,52784524,42385325,33396476,25630480,19014750,19014749,25630474,33396468,40335532,31646998,256544457,25630484,25630483,33396478,42385327,40335553,40335552,42385329,33396482,33396483,257214639,258089585,37688705,29126655,29126654,256434620,33396542,33396544,42385385,33396592,25630563,25630562,33396486,42385333,52784530,64698467,64698463,61846841,53034348,42592409,33573574,25782038,19139867,13666777,13666779,19139871,25782050,33573592,40656613,40656612,50724513,62254110,62584419,62584418,75518017,89272201,91894278,91679373,77752563,64570061,52669805,256943578,73386079,64997060,53021796,42581380,33564304,33564305,255975551,17037438,11951251,11951252,13662794,9356326,6128608,3834383,2297234,1332922,761223,761221,1332914,2297219,3834360,3180190,1861494,1062234,1062235,1861498,3180194,5212610,8135806,267790084,255045744,16736388 Dl.O(d2) = 258531180,257311042,48919882,271169830,119245027,259005970,73061613,60790495,52682511,52682510,55712571,55712570,47151069,44805707,35381151,27256154,27256153,35381148,44805704,52877331,52877330,55712544,68109275,77995156,85488202,91793620,77871080,269068594,42477709,33484072,33484074,42477635,42477637,52881524,46836291,46836290,58202306,53072805,53072806,65055268,59729778,59729779,59165105,47766331,47766332,59165106,70934675,71955044,59216734,47818276,47818277,59166840,59166839,57729529,46379304,38031076,29468458,22133139,22133138,29468456,37896467,41132382,46379218,36519941,29278448,29278447,268935785,36479565,46335404,38195039,38195038,48106617,59495201,256985898,38124147,34645986,26654795,19841095,19841096,26654797,34645989,38290148,38290147,29773512,25336265,25336264,26654781,19841084,14214225,14214226,19841086,26654784,34645974,257289051,61611893,61611875,50131323,40111166,31431992,31431993,40111168,50131325,61611877,61611880,74389141,61611903,50131344,50131343,61611901,61611870,61611871,61611886,50131331,40111171,31431995,23940897,17596606,17596607,23940899,31431997,40111176,50131347,61611909,74389166,74389167,258889877,74389148,87992792,74389145,61611882,272159340,50131339,50131340,61611881,74389142,258729950,78897499,65562659,53538006,43058398,256175545,26157870,33999737,43058402,53538016,65562672,75554365,78897512,78897511,93007047,85535661,71947951,65572345,65572346,62617514,50996287,40862476,32091543,24517408,18086644,18086643,256065001,40862474,50996280,50996279,62617505,62617540,58331655,58331654,58331669,58331657,46964141,37083151,37083152,46964143,46964150,50996318,50996317,51742248,257432298,40921020,32143777,32143778,40921021,257558530,32596332,24934403,18422568,13085549,13085548,18422566,24934401,32596329,24934492,24934491,32596423,32596511,32596512,257159139,32596354,32596353,32596381,24934570,24934569,32596503,32596330,24934557,24934407,18422572,13085552,8917094,5819180,3630029,2168030,2168031,3630031,5819183,254901385,5819197,267925627,13085600,18422631,24934367,24934366,24934605,256605929,41473461,41473460,256605893,32596335,32596549,32596505,32596504,40783638,32027094,24465043,18422696,13085645,8917155,8917154,13085642,268134793,8917082,5819174,5819173,8917079,13085528,18422540,18422756,255235771,13085667,18422727,24561279,18122229,268134799,8917180,8917181,13085687,18422745,24934607,32596541,32143860,24934443,18422711,18422712,18122258,13085577,13085576,18422603,18422629,18422630,24934480,32103936,24527879,24465048,18045492,18045494,24465039,18045486,12792245,12792244,18045490,24465046,24561303,24561302,24934488,32596419,32596414,24934484,24934485,18422747,18422748,24561274,32143835,40921081,41473569,257159133,24934391,24934390,24561308,24561307,32143861,40921096,41473517,51742179,63520006,63520139,51742312,41473521,41473520,51742311,63520138,63520141,63550111,257749059,51770517,41498611,41498612,51770519,55223697,55223698,50016679,39998552,31321095,31321094,24951802,24951803,32617747,41498605,51770507,51742254,51742253,63520075,51742314,41473524,32596482,24934545,24934529,24934530,32596463,41473504,41473543,41473378,32596312,32596313,41473380,51742183,58187218,63550109,63550110,257746641,49880435,257637203,74142598,76630669,257749057,51770514,63520125,63520124,76599588,258299940,74860322,62061715,51770499,41498599,41498598,51770498,63550096,71278200,71278199,84852174,90458016,90458015,101719988,101719990,87747073,74142601,61361990,49880445,39857527,31174958,31174957,39857526,257637207,51322203,41138269,41138268,51322201,257063056,268994230,41138386,32324308,32324307,28064461,20893780,20893781,28064463,36530672,46390974,40122696,40122695,32324303,24709472,18237966,18237965,24709468,32324297,41138280,41138327,32324259,24709439,24709440,32324262,41138302,51322248,63001445,63001471,63001470,74215579,75984210,75984211,70321937,57631201,57631200,70321936,83847736,90863242,76985239,72347050,59613460,48227482,48227480,41753461,41753462,52067480,63885705,71667131,72042963,59307595,47913480,37997580,29434960,22102546,15992343,15992344,22102549,29434964,37997587,47913495,59307622,72042943,72042944,72042920,59307519,47913416,47913417,59307525,50143586,40122527,40122525,50143582,50237515,50237514,59307604,59307603,72042997,74271368,61494580,50016681,50016680,61494578,59307510,59307511,61716441,74229672,61450362,61450363,59307544,59307543,70321942,83847738,85232195,85630768,72042937,59307571,58945254,47562360,47562361,37997574,37997573,47913467,59307575,72042970,71667126,58945472,47562608,47562607,37656567,37656565,47562614,58945483,71667129,85232154,99154363,99580760,85630791,85232209,71667210,58945557,47562684,47562685,58945560,71667213,61716448,61716447,258225480,87213372,258832792,73340126,60595390,58945536,47562662,37656601,37656602,37656598,29106945,257478533,58945539,58945538,71667194,85232179,259472806,60841809,49440099,39508989,39508988,256491232,21808250,21808251,29106921,29106920,29434946,29434945,33771416,25962143,19296575,19296576,25962149,33771429,268679804,23830839,31321069,3132106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69,8399293,8399291,12427267,268257501,257076429,61625108,61625212,257692526,61625168,50143547,50143548,52010820,52010819,63826534,59267684,47871970,37953629,31442795,31442794,38125187,38125186,31442789,255571649,12427281,8399296,5420103,5420102,8399295,12427275,17605655,23951375,31442764,31442886,23951452,17605700,12427303,12427305,17605704,23951458,31442891,40122177,50143295,50143333,268653716,40122505,50143279,50143280,61625224,61625209,50143247,40122132,31442852,31442853,40122134,50143249,50111740,40091195,31411404,31411405,31442843,23951417,17605681,12427293,12427294,17605683,23951421,23951793,31411401,31411400,40091193,50111736,50143241,50143240,40122637,40122395,31443089,23951592,17605789,17605787,23951590,31443086,31443128,23951627,17605810,17605809,23951626,31443126,40122259,31442979,23951521,17605743,17605744,23951522,31442981,40122108,31442973,31442974,40122115,31442837,23951413,17605679,17605678,23951411,31442834,40122113,50143226,50143354,50143505,268689590,31443117,40122415,50111743,40091199,40091198,50111742,42385318,33396471,33396469,40335434,40335435,50143223,50143224,61625199,50143509,40122419,40122418,38704159,30127418,30127419,38704160,42385332,39922295,39922294,49940046,40335432,40335431,50362581,50143502,40921054,40921053,51061601,52784538,42385340,33396490,33396491,42385342,49093986,39164023,39164024,42385355,33396508,33396509,39349318,40122129,40335510,40335511,50362657,52784545,50362679,50362678,48652936,38731896,256978117,42385349,50362610,52784563,52784562,61417958,49940048,39922297,39922298,33396570,33396571,36958328,36958329,40122628,31443326,31443327,40122632,269356110,52784536,52784524,42385325,33396476,25630480,19014750,19014749,25630474,33396468,40335532,31646998,256544457,25630484,25630483,33396478,42385327,40335553,40335552,42385329,33396482,33396483,257214639,258089585,37688705,29126655,29126654,256434620,33396542,33396544,42385385,33396592,25630563,25630562,33396486,42385333,52784530,64698467,64698463,61846841,53034348,42592409,33573574,25782038,19139867,13666777,13666779,19139871,25782050,33573592,40656613,40656612,50724513,62254110,62584419,62584418,75518017,89272201,91894278,91679373,77752563,64570061,52669805,256943578,73386079,64997060,53021796,42581380,33564304,33564305,255975551,17037438,11951251,11951252,13662794,9356326,6128608,3834383,2297234,1332922,761223,761221,1332914,2297219,3834360,3180190,1861494,1062234,1062235,1861498,3180194,5212610,8135806,267790084,255045744,16736388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352646, s2 = 13362142, dlinesl.size( ) = 2 s1 = 10352646, s2 = 13362142, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10352646, Dl.E( ) = 8, 1.79e-05 seconds used appending s1 = 9130253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2636848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7830034, s2 = 14089003, int(edited[s2]) = 0 s1 = 7830034, s2 = 14089003, d1 = 10, d2 = 7 Dl.O(d1) = 133807583,119939626,119939625,133807581,272350124,133807567,119939604,105704139,105704140,259615304,91479693,77548550,64380440,52506837,42149012,42149011,52506841,64380449,77548564,91479712,105704164,119939579,119939578,133807549,147054311,159432740,170775155,180725217,170595960,159260844,146890090,133637066,119767529,105534363,91316649,77398230,64248482,52393377,42049651,33101007,25366613,18782998,13377657,13377659,9143468,9143469,9857283,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741979,5984325,5854803,3654728,2185939,1268001,1268002,254436495,4893136,2948789,1710132,1710133,2948791,4893141,7729773,11609951,16573139,16416587,16416588,16413174,16413173,11434351,7602414,4809380,2898501,1681765,1681766,2898506,4809389,4807438,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2935454,1702366,1702365,2935452,4871286,7696931,11455046,11413601,7746322,7585280,7585279,10349614,7601915,7601916,7601861,4809014,4809015,4809453,4273482,4273481,6813238,7589682,7617907,7617906,11449732,7615142,7608683,7608684,5683595,3535546,2897863,1681460,956331,956332,1681464,1684362,957755,957759,1226081,799234,453012,453013,799238,1404357,2427579,4055592,6471651,9852318,14340743,11422126,7592059,254689447,6513128,9909819,9955225,14469264,11453151,7617892,7617893,7621682,7621683,8844757,11438977,7606398,4812147,4812148,7606400,11438981,16422847,22605823,29970817,38536805,256821862,31872460,31872459,40575978,257693733,74923103,84985665,71411533,58677510,58677509,71411531,74392706,76674199,74392702,61615200,61615201,74392704,85071324,258453880,37475451,47382788,58769872,71499246,85071326,98146244,84252880,84252879,78615812,78615811,71499241,58769870,58769871,65317549,53317871,53317870,47113493,37216393,28691459,21440649,21440650,28691461,37216397,47113496,51652625,63395620,76439422,90269783,104421309,259921792,259921790,118604702,260523372,136430689,136430681,122474225,122474224,122474223,108078112,93670648,93670647,93670650,93670649,79549480,66165934,54055786,43488380,43488379,54055783,66165929,259117091,260132607,88062122,88062121,74450142,61666338,50181136,50181135,61666337,74450137,74450136,88062111,102047173,116104375,130013692,143347131,143347129,143347150,130013691,116104374,105704147,91479696,77548552,64380441,64380442,77548554,91479702,105704158,119939619,119939620,133807579,147054337,157690778,145278610,132040944,118220970,104061636,89932179,89932178,258348511,51424396,41227322,41227323,51424398,63121145,76126386,65731252,53675202,43165017,43165018,53675204,53675208,43165020,34081857,26221365,26221364,34081854,43165014,53675198,65731248,79086944,93202151,271021758,74277149,61500333,50022133,50022134,61500334,74277150 Dl.O(d2) = 101852577,87879444,87879443,101852595,115898671,115898672,115898674,115898675,261289345,130020789,116111004,102053264,88067838,88067839,102053265,88067858,74455760,257662817,50188571,61672520,61672491,50188544,40164283,31479587,31479586,40164281,257662811,50181151,40156283,40156282,50181149,61666358,61672522,74450168,74450167,73045846,60306790,48910922,38989025,30401107,22996870,22996869,30401106,38989023,48910920,60306787,73045839,257578779,38989031,30401109,30401110,33725589,25918961,19257122,19257121,19257120,13761368,9430936,6180227,267936275,9477924,6214783,6178531,3866171,2315920,1343252,1343254,1343991,1343994,1344224,1344225,1344235,1344237,1344235,1344232,2318576,2341487,2341653,2341655,2330951,2330953,1381251,785784,785780,1381224,2385991,3981351,6302224,6302225,6389249,6303919,3950287,3950288,6303921,9600094,11000717,7282084,7282086,254681346,21965799,21967270,15875066,12795625,8699396,8699393,8630568,5612177,5612179,8630571,12703164,15874419,15874420,19232084,13962049,10675419,10675420,7804675,4949619,2987413,2987414,4949621,7804678,8700049,8634087,5614928,3487926,2071616,2071617,2637137,1522975,1522976,254333261,7001700,10611123,15358958,21331575,28557190,24335830,17946075,17946074,15356925,15356924,21329013,28554289,26147523,19449394,13918099,254442038,3924597,3924599,6268175,9552827,9340943,6118488,5188650,5188655,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995177,12995178,9455635,9455637,13104461,18447501,21967169,21967170,24467368,32029608,254332988,13352529,13352528,254332986,12907979,8780678,5718762,3560149,2121291,1223224,691252,386098,212617,116280,63491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7830034, s2 = 14089003, dlinesl.size( ) = 2 s1 = 7830034, s2 = 14089003, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7830034, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 7602891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13621961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13621961, s2 = 8604166, int(edited[s2]) = 0 s1 = 13621961, s2 = 8604166, d1 = 7, d2 = 8 Dl.O(d1) = 259683231,116073292,102018391,88035904,74426109,74426111,88035906,102018393,116073300,120367377,106164879,91966814,78039636,64842501 Dl.O(d2) = 259330151,71551213,71551214,85122005,259948995,99469634,99469635,260130719,129979426,116073199,102018305,102018304,116073198,129979424,261043672,99469743,99469744,261149803,129979521,143310493,147412077,261748362,261842365,143309496,153387531,143310488,129979518,260130741,88035957,74426150,74426151,259515765,74426028,257660579,50160839,258269533,85523141,99469670,258891789,74426126,88035930,271327527,99469638,85523108,71935134,59195387,59195390,71935141,85523115,88035820,74426038,61644544,50160844,40137838,31456220,256530897,31458186,31454525,31454527,40135534,50158048,61641694,74423473,61644564,257077773,23961899,23961900,31456224,40137845,257660585,259515785,88035899,88035898,259982280,258115424,49890543,39868384,31185934,31185935,29301291,21974042,15879930,11008037,11008036,15879929,21974039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13621961, s2 = 8604166, dlinesl.size( ) = 2 s1 = 13621961, s2 = 8604166, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13621961, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 1250416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1250416, s2 = 8107725, int(edited[s2]) = 0 s1 = 1250416, s2 = 8107725, d1 = 9, d2 = 9 Dl.O(d1) = 31463308,257078617,61658051,258892921,88030396,258268883,50155367,40133135,40130171,31450293,256024433,23954007,17607614,17607618,23954020,30683489,28113012,20936131,17611636,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819816,23959292,23959290,255571909,12429049,8400371,8400372,12429051,17608273,17613714,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,5421890,5421891,5421994,5421548,5421547,8401590,12431010,17611310,23959271,23959267,23959268,256530183,50155368,61638764,74420160,88030397,102013098,116067817,260033006,116096038,102039312,88054869,74443173,256434664,40147764,255111420,17618773,17618772,23968585,31464274,40147762,50173054,61659179,74443169,88054863,256434166,53504467,53504466,43025032,33967313,26128799,19433962,13905682,9543386,9543385,13905681,19433960,26128796,33967307,43025031,43025027,33967304,33967303,43025024 Dl.O(d2) = 31463308,257078617,61658051,258892921,88030396,258268883,50155367,40133135,40130171,31450293,256024433,23954007,17607614,17607618,23954020,30683489,28113012,20936131,17611636,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819816,23959292,23959290,255571909,12429049,8400371,8400372,12429051,17608273,17613714,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,5421890,5421891,5421994,5421548,5421547,8401590,12431010,17611310,23959271,23959267,23959268,256530183,50155368,61638764,74420160,88030397,102013098,116067817,260033006,116096038,102039312,88054869,74443173,256434664,40147764,255111420,17618773,17618772,23968585,31464274,40147762,50173054,61659179,74443169,88054863,256434166,53504467,53504466,43025032,33967313,26128799,19433962,13905682,9543386,9543385,13905681,19433960,26128796,33967307,43025031,43025027,33967304,33967303,43025024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1250416, s2 = 8107725, dlinesl.size( ) = 2 s1 = 1250416, s2 = 8107725, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1250416, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 9272300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6619718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6619718, s2 = 9731753, int(edited[s2]) = 0 s1 = 6619718, s2 = 9731753, d1 = 47, d2 = 3 Dl.O(d1) = 256614999,25052278,32742581,258372527 Dl.O(d2) = 37474516,255950896,15620495,255417739,16958970,16958973,23231659,268406720,49174013,48843149,38922676,37474423,28932891,21655311,21655310,28932889,30336741,22935894,22935897,30336744,22935925,16701016,11661593,11661592,15829419,15829420,19538951,19538952,26257751,34123169,38923009,30336752,22935900,22935901,30336759,37475374,37475385,28933859,28933848,28933850,30653000,255914614,49173996,53722450,47438774,37530652,28986088,28986087,37530647,47438771,58825450,60237663,58775897,47388744,37481135,37481136,47388748,58775901,71499195,58825483,47438808,47438807,58825481,58775880,47438776,37530654,37530655,47438781,48843460,60237659,270300460,60237921,60237920,72654296,71847278,59108605,47710591,37789591,37789593,47710597,59108609,71847280,85070527,85077136,71505189,71505188,73315655,71553463,58825441,47438767,47438768,58825445,71553467,71553477,85077129,71505176,58775894,58775895,257510283,38094433,29530650,22188123,22188124,29530654,38094438,48005964,59394441,71505165,59913718,48520317,38605248,30031501,30031500,38605245,48520314,48520303,38605237,38605238,48520307,258158985,85433057,257575618,47710587,47710588,59108603,71847275,85124233,259945863,99002447,99049175,85124238,71553456,58825435,58825436,71553458,85124242,71553501,71553500,85124267,99049191,100222469,86255596,72654305,59913724,48520326,38605253,30031505,22657096,16463916,11471305,11471304,16463914,22657092,30031503,38605250,48520321,59913720,58829305,47443279,37535287,37535285,47443274,58829302,269843946,269843944,257470323,37535292,28990357,21706281,15664563,10843763,10843765,255421471,256348313,47443289,58829316,71556700,85127200,76811111,63709669,51902871,41602991,32700177,32700176,28933159,21655517,21655516,28933155,37474728,37474327,37474328,47381672,58768878,71498339,85070436,73392422,73392410,60645822,49245268,49245267,58826134,47439418,47439420,58826139,58829312,58826146,47439425,37531228,37531229,47439429,58826150,60645836,49245277,48520299,269352165,72654294,86255587,86825587,256463482,257465383,37474726,28933153,28933152,37474724,47382097,256995150,58768876,71498336,85070434,87007855,73392416,60645829,257022259,39318370,49245272,47439421,47439422,258080555,58775834,47388680,257465901,269371281,39318384,30720094,23302749,23302750,30720087,30720085,39318374,39318378,49245274,55399135,48843454,268652869,30336733,256995157,60237653,58769249,47382094,47382093,58769246,71498649,85070719,98996319,259945411,122893128,108629015,94342039,87007858,85077088,71505120,60645891,49245325,49245324,60645825,73392412,85124865,71554117,71554116,85077093,71505123,71505124,85077098,269843949,49245283,39318389,30720100,23302753,17042452,11955827,11955826,255528965,30720091,39318380,49245276,60645833,49245281,49245280,60645838,73392426,71498597,58769200,58769199,71498594,85070687,98996093,98996094,112985838,108629016,94342041,80286073,80286075,73392467,60645887,49245320,49245321,258210365,87007908,100533084,86572256,72974494,60237712,48843525,257022267,30720132,23302774,17042464,11955833,8003636,5095399,5095398,8003633,11955829,17042456,23302758,30720104,39318397,39318403,49245296,60645860,71498601,58769201,58769202,71498605,85070692,98996323,112985989,122893131,108629018,94342048,80286080,66856685,269172681,255851043,15620574,15620573,21655494,23302755,255851028,16701040,11661608,11661610,16701043,22935956,30336829,30337054,22936123,16701170,255950907,25464035,18863876,17264458,254834531,5243279 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9709820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9709820, s2 = 16361226, int(edited[s2]) = 0 s1 = 9709820, s2 = 16361226, d1 = 0, d2 = 0 Dl.O(d1) = 79126966,65771657,53714274,43201844,43201843,53537548,256485960,43288495,256184117,19593835,14039161,14039162,19593838,26319493,34191438,36860572,36860574,256481675,23353960,17086188,11998624,8051424,8051423,11998622,17086183,23353952,30777986,28180965,20998413,20998415,28180971,256826837,57881090,70582497,84119515,97995053,111935064,107941495,107941494,111809370,125624256,138963048,125624259,119221068,105027870,90847957,76968869,63856956,52037288,41722037,32802065,28390795,21171655,21171654,28390793,23324025,23324026,30745057,39344237,39185635,39185636,49114423,60516655,50517211,40481810,40481811,40117306,40117307,40117302,31438367,23947021,17601676,12424031,8396900,5418503,3330879,3330876,5418498,8396889,12424012,17601653,23946988,25193881,18632360,13246976,13246975,18632357,25193874,32905042,37051140,28551351,21326699,21326700,28551354,30588147,30588148,257011735,268763512,58294844,64420103,63528417,51750184,41480695,32602624,24939717,24939718,32602626,41480698,51750186,63528418,76607947,64418469,52544189,52544190,63528407,64418465,52544180,52544181,61680003,50196859,50196860,61406897,61406898,74186622,74462790,71112032,59222308,47824314,37902687,255879027,15902847,15902848,22003219,29334070,29334071,37902366,47824065,47824048,37902344,37902343,47824047,59222147,71960381,85548122,90477485,76619307,63539807,63539806,63734099,63734098,76619287,63539779,257161007,41490488,47620295,47620296,49207987,49207988,51760878,41490379,41490380,41490375,41490374,51760871,63539635,51924955,41622386,32716676,25030551,18498222,18498223,25030552,25030542,18498215,18498216,18498228,13142319,8957237,8957238,13142320,18498231,25030566,25030563,25030564,32716694,32716630,25030525,25030526,32716631,41622307,255716690,44461892,35086537,35086538,44461901,52291882,52291881,64144055,77293099,91213419,105435757,119674334,133549578,272090903,95126070,81067847,67599673,55257970,44410395,35035864,268826039,33008811,25283768,25283759,18710892,13317756,13317757,18710893,25283761,28254705,21053982,21053980,28254679,21053963,21053961,21053974,15122884,254718309,4316784,2581783,2581784,4316786,267959613,15122899,21054001,23552114,17243810,17243811,15463097,15463094,15124731,10432059,6877486,6877485,6875310,6875309,10428159,15118706,21048250,28248387,28254583,24510026,24510027,21048771,21048770,28249016,28255743,27969564,21057353,21054642,15123412,15123411,15119493,10428680,6875599,6875600,10428686,15119503,21049324,28249584,28252975,24510917,18081555,18081556,21053187,15122365,10430495,10430494,15122360,21053182,28253136,28251713,27969395,20806372,14911515,10253206,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,18081902,18083952,24513850,32087395,24513877,24513878,32084227,24510281,18081069,12821159,12821158,18079807,12818035,8715251,5673264,3528818,3528816,5673259,254886469,254624479,5674121,254886657,255609723,15351466,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,19071945,25697571,25697572,33470763,255327422,28997845,21712962,15670391,10848376,8239135,5311401,4517688,4517692,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399303,10416531,10416530,15102463,17857668,17857669,16804537,11750725,7845712,7845681,7845682,8586739,5579643,5579641,7500868,4741381,2857430,1658332,1658328,2857436,4741394,5290510,5290507,3241945,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476520,21479269,15677450,11297847,7845702,7845703,8220610,8220611,12190451,17315089,17315098,17315097,23631056,29027370,21737071,15687839,15687840 Dl.O(d2) = 79126966,65771657,53714274,43201844,43201843,53537548,256485960,43288495,256184117,19593835,14039161,14039162,19593838,26319493,34191438,36860572,36860574,256481675,23353960,17086188,11998624,8051424,8051423,11998622,17086183,23353952,30777986,28180965,20998413,20998415,28180971,256826837,57881090,70582497,84119515,97995053,111935064,107941495,107941494,111809370,125624256,138963048,125624259,119221068,105027870,90847957,76968869,63856956,52037288,41722037,32802065,28390795,21171655,21171654,28390793,23324025,23324026,30745057,39344237,39185635,39185636,49114423,60516655,50517211,40481810,40481811,40117306,40117307,40117302,31438367,23947021,17601676,12424031,8396900,5418503,3330879,3330876,5418498,8396889,12424012,17601653,23946988,25193881,18632360,13246976,13246975,18632357,25193874,32905042,37051140,28551351,21326699,21326700,28551354,30588147,30588148,257011735,268763512,58294844,64420103,63528417,51750184,41480695,32602624,24939717,24939718,32602626,41480698,51750186,63528418,76607947,64418469,52544189,52544190,63528407,64418465,52544180,52544181,61680003,50196859,50196860,61406897,61406898,74186622,74462790,71112032,59222308,47824314,37902687,255879027,15902847,15902848,22003219,29334070,29334071,37902366,47824065,47824048,37902344,37902343,47824047,59222147,71960381,85548122,90477485,76619307,63539807,63539806,63734099,63734098,76619287,63539779,257161007,41490488,47620295,47620296,49207987,49207988,51760878,41490379,41490380,41490375,41490374,51760871,63539635,51924955,41622386,32716676,25030551,18498222,18498223,25030552,25030542,18498215,18498216,18498228,13142319,8957237,8957238,13142320,18498231,25030566,25030563,25030564,32716694,32716630,25030525,25030526,32716631,41622307,255716690,44461892,35086537,35086538,44461901,52291882,52291881,64144055,77293099,91213419,105435757,119674334,133549578,272090903,95126070,81067847,67599673,55257970,44410395,35035864,268826039,33008811,25283768,25283759,18710892,13317756,13317757,18710893,25283761,28254705,21053982,21053980,28254679,21053963,21053961,21053974,15122884,254718309,4316784,2581783,2581784,4316786,267959613,15122899,21054001,23552114,17243810,17243811,15463097,15463094,15124731,10432059,6877486,6877485,6875310,6875309,10428159,15118706,21048250,28248387,28254583,24510026,24510027,21048771,21048770,28249016,28255743,27969564,21057353,21054642,15123412,15123411,15119493,10428680,6875599,6875600,10428686,15119503,21049324,28249584,28252975,24510917,18081555,18081556,21053187,15122365,10430495,10430494,15122360,21053182,28253136,28251713,27969395,20806372,14911515,10253206,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,18081902,18083952,24513850,32087395,24513877,24513878,32084227,24510281,18081069,12821159,12821158,18079807,12818035,8715251,5673264,3528818,3528816,5673259,254886469,254624479,5674121,254886657,255609723,15351466,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,19071945,25697571,25697572,33470763,255327422,28997845,21712962,15670391,10848376,8239135,5311401,4517688,4517692,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399303,10416531,10416530,15102463,17857668,17857669,16804537,11750725,7845712,7845681,7845682,8586739,5579643,5579641,7500868,4741381,2857430,1658332,1658328,2857436,4741394,5290510,5290507,3241945,1902381,1902382,3241949,5290587,7977674,5191289,3167666,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476520,21479269,15677450,11297847,7845702,7845703,8220610,8220611,12190451,17315089,17315098,17315097,23631056,29027370,21737071,15687839,15687840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9709820, s2 = 16361226, dlinesl.size( ) = 2 s1 = 9709820, s2 = 16361226, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9709820, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2301831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2301831, s2 = 8584707, int(edited[s2]) = 0 s1 = 2301831, s2 = 8584707, d1 = 0, d2 = 109 Dl.O(d1) = 61691997 Dl.O(d2) = 155141397,166835109,263215037,177383517,166835108,166835109,177383518,186700349,194814558,194814563,186700346,262815334,155141396,261293990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2301831, s2 = 8584707, dlinesl.size( ) = 2 s1 = 2301831, s2 = 8584707, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2301831, Dl.E( ) = 118, 5.01e-05 seconds used appending s1 = 13428329, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3245337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2640515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2641981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7997516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9238574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9238574, s2 = 9235638, int(edited[s2]) = 0 s1 = 9238574, s2 = 9235638, d1 = 0, d2 = 0 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238574, s2 = 9235638, dlinesl.size( ) = 2 s1 = 9238574, s2 = 9235638, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9238574, Dl.E( ) = 2, 1.69e-05 seconds used appending s1 = 13409935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2643727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2306010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9233525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9696028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9696028, s2 = 2643988, int(edited[s2]) = 0 s1 = 9696028, s2 = 2643988, d1 = 1, d2 = 1 Dl.O(d1) = 74559606,254812774,50296546,61776091,74559607,255964406,70355130,57665436,46321210,36468289,28009352,20844485,20844486,17837092,17837094,24206867,22183132,22183134,18832820,13418060,9174312,9174310,13418051,14331990,13417904,13417901,18832609,21611300,254386638,22017189,15915485,11036826,7311173,7311174,11036828,15915489,22017195,21520476,15508940,10725895,7086657,4461885,2680534,1552728,1552727,2680526,3999061,2396717,2396716,3999057,6372954,9688558,14085472,19651259,19651037,19651034,16649213,11617217,7736562,7736561,11617213,11445849,7611860,4815733,4815731,7611850,11445827,16430690,12031508,12031506,12028531,8089200,8089204,12032564,17122179 Dl.O(d2) = 74559606,254812774,50296546,61776091,74559607,255964406,70355130,57665436,46321210,36468289,28009352,20844485,20844486,17837092,17837094,24206867,22183132,22183134,18832820,13418060,9174312,9174310,13418051,14331990,13417904,13417901,18832609,21611300,254386638,22017189,15915485,11036826,7311173,7311174,11036828,15915489,22017195,21520476,15508940,10725895,7086657,4461885,2680534,1552728,1552727,2680526,3999061,2396717,2396716,3999057,6372954,9688558,14085472,19651259,19651037,19651034,16649213,11617217,7736562,7736561,11617213,11445849,7611860,4815733,4815731,7611850,11445827,16430690,12031508,12031506,12028531,8089200,8089204,12032564,17122179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9696028, s2 = 2643988, dlinesl.size( ) = 2 s1 = 9696028, s2 = 2643988, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9696028, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2644072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13479877, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2558488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6566580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6566580, s2 = 7711849, int(edited[s2]) = 0 s1 = 6566580, s2 = 7711849, d1 = 20, d2 = 28 Dl.O(d1) = 256037266 Dl.O(d2) = 273391202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6566580, s2 = 7711849, dlinesl.size( ) = 30 s1 = 8327760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8327760, s2 = 13501022, int(edited[s2]) = 0 s1 = 8327760, s2 = 13501022, d1 = 19, d2 = 11 Dl.O(d1) = 100250378,100250377,100250346,99782386,85829082,85829081,99782384,103721837,100250388,86287142,72688940,59950475,48558336,48558337,48558341,59950482,72688954,72688972,59950502,48558352,48558351,59950500,59950517,48558359,38643171,30067988,30067989,38643173,48558362,59950521,50364472,50364473,257508370,42694706,257824483 Dl.O(d2) = 29465602,29465601,38027734,47941454,59333229,48250062,38339376,256949623,257505215,61848706,61848705,61848707,61848708,61848910,257092597,31648595,31648598,40337303,43062266,34004245,26162483,19462277,13928095,13928096,255706849,31648457,40337096,50364313,47941411,38027712,29465587,29465586,38027710,40337149,40337150,50364374,47941396,47941397,53143907,42693511,42693510,53143905,65128681,65566181,65566180,77116080,77116079,78410278,72067641,72067642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8327760, s2 = 13501022, dlinesl.size( ) = 14 s1 = 8315722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8315722, s2 = 4254754, int(edited[s2]) = 0 s1 = 8315722, s2 = 4254754, d1 = 25, d2 = 15 Dl.O(d1) = 257644183,60713224,52776961,42378103,42378102,52776960,42378107,42378106,52776966,61886461,50396045,50396044,61886460,258286073,61886458,74679637,88306670,102301107,113018530,99030853,85106375,259328775,113018531,126870379,140216894,152906753,164737471,166184561,155100207,142455413,142455409,129079790,115150505,101074479,87078349,87078350,101074481,115150508,115150506,115150507,129079792,272588365,166796526,177349524,186671029,194788228,201734360,202276425,195406749,187371982,178140900,167683503,167683502,178140898,263642407,187371984,178140901,263259053,178140905,167683511,156080774,143548669,130224706,116391009,260148680,61886465,61886464,74679642,88306672,258908695,61886463,50396046,257676937,61886468,74679649,88306680,102301119,102301123,102301124,260744793,130224721,272273465,143548681,130224719,130224720,143548683,156080788,263259055,195406764,195406759,195406760,202276439,208052043,264825599,212855956,208100762,202333444,202333443,208100763,264579561,216744071,219966352,216744067 Dl.O(d2) = 163578947,164772980,152944423,140255801,260255474,99068688,85143842,71573566,58846712,258052680,58328595,48185338,38275882,37924036,37924037,33187377,25441978,18845368,13426973,9180184,9180185,13426977,18845373,25441984,28567514,21340183,21340184,28567517,37069752,46949302,39372467,37504615,29357738,22027351,22027349,26914457,26914458,34995841,44374017,256593620,31351644,23858152,23858153,31351645,40031873,257998829,36488646,28026327,20859139,14957696,10290786,10290787,255360539,256272513,46346016,57694727,70388416,83914747,83959033,83959034,97818146,111740280,259403962,100835942,100835943,114886180,128781978,142135370,138879348,125546567,125546566,125546568,138879349,151581959,143081844,260021434,125546569,125546570,115852474,101806150,87832131,74227203,61447863,49970114,49970113,57738194,70432550,83959091,258258524,87832141,101806154,87832139,86855229,258154682,258822147,100835950,261237429,154767989,163464801,151581944,138879323,125546528 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352804, s2 = 11656961, int(edited[s2]) = 0 s1 = 10352804, s2 = 11656961, d1 = 79, d2 = 89 Dl.O(d1) = 64472,64468,64129,64131,69083,127556,231662,411156,724055,1268225,2186208,254638139,13159386,18520941,23664939,254436552,22953799,16717198,11675423,11675422,16717194,13814356,10044072,6600551,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14256123,9798729,9798726,14256113,19464877,20261128,21579063,21579062,16523836,16523837,14598402,10044989,10044991,10044997,11682879,11682881,16724887,12088173,10784554,10784553,13674181,10051650,10051649,14607838,10272587,6750820,6750819,10272582,14936529,13283825,10336221,10336220,14939476,11514875,11514874,11517022,11509044,7656259,4844500,4844502,7656265,11509055,14606673,254482026,27285173,35410359,44835588,259184445,72102084,59369620,47979483,38067488,29504305,29504304,38067481,47979469,59369599,72102053,85687751,99636429,113649698,127521072,140876600,153551962,165342917 Dl.O(d2) = 255989959,23478116,30915052,39525661,257619373,73612464,87233777,89458731,258329819,62746075,75693475,89458732,103557139,117692759,113545900,99534653,257619370,59265284,257037970,43208571,53720443,65777267,79132135,93247627,99534657,85587891,72001346,59265286,47869741,37951696,29387007,22056878,22056877,27989988,20825518,14927242,14927243,17245523,17245524,23554249,23841029,17500621,12339929,254420658,5380686,8336622,12339936,14926788,14926786,14075895,14075896,15589030,10784125,10784127,15589035,19366427,19366428,17980122,12742590,8659623,5633184,3500806,3500805,5633178,8659612,12033528,12033527,10021770,10021771,14564147,17980218,12742677,8659680,8659676,12742673,16515220,15589502,15589500,21619737,22027503,22027501,29357883,254296270,28025019,28025020,31779864,40474511,35405901,27280259,24090954,24090955,31594356,40278696,50299150,40602585,31893649,24365534,24365535,26692985,19873129,14238488,9787953,6434866,4036667,4036668,6434867,9787956,14238493,19873139,26693004,256728957,54706469,55740724,44832832,44832833,48607601,57684612,46337483,36481488,36481487,46337479,38692143,30116075,30116076,36481375,36481378,46337337,48607624,38692183,38692185,42330740,33349316,33349317,42330743,47828046,37906291,29337453,22006043,22006044,29337458,37906298,47827985,37906238,29337442,22006036,15905085,15905084,22006032,29337435,37906260,30617460,30617461,34279455,268672994,59225947,49751492,49751491,53157712,42708224,33678327,25872335,25872334,23287063,23287064,30702786,39300220,49227131,49227132,49227174,49141067,49141066,60540841,53157725,53157726,58695946,50280914,40259942,31572502,31572500,40259940,49140983,39943884,39943885,49960784,50280897,61760491,71956175,59217811,50280956,40259981,31572541,31572542,40259984,50280960,47819487,42708188,42708189,53157682,47829176,37907396,31572575,31572576,30617387,23196518,16928439,16928438,23196513,30617378,39214182,49140804,39214144,39214145,43395399,38956790,255953381,22969136,30370656,30370643,22969130,22969131,23196395,16928374,16928373,23196389,22007199,15906308,11027886,11027885,15906305,22007194,29338586,37635309,29085441,29085440,37635305,42003995,33060371,31846145,256559661,37099902,28592777,21360779,15382494,15382493,21360776,18500468,13143933,13143932,18500466,25033529,32720203,41626255,51929000,63738301,76841815,78434689,72612739,59874044,256458290,29997800,22628811,22628813,29997804,29997834,22628829,22628827,26108184,25430529,25430528,26111391,26107143,20936119,15027941,10355688,6819877,4278125,2557847,2557846,4278121,6819862,10355653,15027877,20936041,22606431,16423397,16423393,20922367,15015176,15015174,20922358,26024720,19348481,19348480,26024715,25431017,20922402,15015190,15015187,20922390,25430617,25428719,18835060,13421203,9298098,9298096,8751365,5697763,5697760,8751356,12868360,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713654,9713659,14118687,9714062,9714061,14119447,19692312,26430085,34307946,41025402,255587308,62832048,75796088,89578209,257677940,95007182,257094524,268448108,32233024,24635472,18180020,12893089,8769244,5710507,5710509,8769253,12893107,18180046,24635515,21432189,18179986,255617199,24421761,24421760,31975274,256300262,21419247,28665198,30256407,28630025,26405203,19670858,19670859 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9690172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9690172, s2 = 8213984, int(edited[s2]) = 0 s1 = 9690172, s2 = 8213984, d1 = 18, d2 = 16 Dl.O(d1) = 255529098,123579482,255143006,81074037,67605759,55264014,44416361,44416360,55264012,254565952,95132613,109387323,123579479,137310993,123579454,123579455,123579467,255143004,81074034,67605754,67605755,81074036,95132610,255529100,137311015,123579474,255976116,137311016,150352038,137311028,137311029,150352002,137311039,123579493,109387331,109387329,255529102,109387332,109387317,95132609,81074035,81074036,95132611,109387322,123579477,137311017,150352041,162485169,150352028,150352026,150352025,137310991,123579452,109387305,254820478,81074033,95132604,109387311,109387304,254820476,81074032,81074039,67605759 Dl.O(d2) = 256121989,18784770,13379293,9144822,5984312,254298433,1299044,741356,254093497,131246,131247,237770,421349,741386,1299101,2240201,3742069,3742153,2955769,1713906,1713905,2955764,2445508,2445509,4087667,6523884,4870127,2934709,1702014,967526,967532,1701971,1701968,1701804,1700766,966868,966867,1698894,2928832,4860226,7681197,11545550,16412916,16408267,16408268,11554763,11554761,7738902,4899941,2953150,1712529,1712528,2953144,4899933,7738886,7738908,4899947,2953153,2953151,4899944,7738903,11610298,7730096,7730097,11551112,12756316,11430067,7598760,254360085,1681952,956523,539098,539094,539083,539084,956463,1681757,2898482,4809349,7602366,11434307,16412970,11428782,7597530,7597531,7595089,4804292,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,4309634,6866695,7741215,7622444,7614162,4817334,2903104,254168697,957641,1684130,2903107,254539885,11429338,7598075,4806374,4806373,7598072,11429336,16413550,22596689,22579973,16397336,16397337,22579974,17976078,17976079,24374107,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,25133576,18580087,18580090,25133587,29753330,25704394,19077840,13620205,13620201,19077821,25704374,21673759,21673757,23126765,24011576,17664481,17664478,13209448,10606259,6997913,6997911,10606250,15353342,21325432,17802540,17802538,22432842,22432841,29799320,26414278,25690151,25132691,25132689,32837815,25134334,25134333,31511746,26628449,19817252,19817253,26628453,32839592,32839583,25134272,22678490,22678492,29442575,27213210,27213211,30038906,22663306,22663305,30038900,31640439,33298842,33216847,25470089,18869941,18869938,21673809,18580077,13203900,9001156,5876461,3669138,3669135,5876471,9001186,255645059,257252621,43059193,37885806,268936765,19095567,19095565,25727040,33505341,42424699,46665076,255588688,36824253,28328672,268303214,254935350,9308091,9308092,13593872,19043364,16263795,16263794,22431187,28306761,28306760,25789191,25789192,24243003,24242978,17866995,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508054,11308693,11119404,7375318,7375319,11119414,13669869,11307883,11307880,16264051,19009810,22432789,16265132,11308569,7507992,7507991,11308560,12652164,12652165,17866320,23874306,24242068,24242067,31753858,24251013,24251014,25624485,25624486,255526740,256436624,29331961,29331960,31446973,24091709,17734014,17734016,12633627,8577985,8577951,8577953,8579572,8579571,12636055,8579545,8579547,254473112,11452963,11452964,15106757,15106756,17267524,17267523,254794978,3999113,6373088,9688807,11547334,11547332,16565534,14084450,14084445,16564926,16564927,16564916,11546927,7682297,4860976,2929259,2929260,4860979,7682305,11546947,16564938,13658582,13658583,13658592,14903981,14903982,20796988,22794881,23038918,22102976,15992660,11102128,11102127,12033497,8089760,5182893,5182894,8089766,8527145,12573075,16419428,19660419,19650292,19650290,23179949,21198163,16915970,16915971,12558060,12558061,12192421,267893358,5029319,3044581,3044582,5029320,7911235,5029543,5029544,7911670,11093542,11093541,13594771,254645464,12030702,8087992,8087993,268103333,23180434,23396159,30824118,38084805,38084806,37979525,29416656,22086308,22086309,19502097,19502096,23394025,23394026,23393398,21454656,15455870,15455869,11606504,11606505,16638377,21480940,22886064,23393390,21952182,15861414,15861413,21952177,23180139,23180140,23170470,16914607,16914606,11838175,7911644,7911643,7119786,4862364,2930003,1699510,966281,966283,254544671,11550406,16569352,19199542,14438511,14438515,20131421,22908991,16676728,11640572,7755090,7755089,11640566,16676720,22908984,30308444,29452383,29452384,38014537,47928746,40231160,40231159,50250933,57961485,47981089,47981090,49392185,49392184,59371302,55332575,48815487,38894199,38894198,48815369,60211263,72950207,86549403,86549435,72950189,70550465,57848499,57848498,64761808,67672049,55332556,44486435,44486437,48815270,48815269,59371305,48815284,38894013,38894014,31730106,31730105,40423607,38192814,29626037,22274594,16132310,16132311,22274599,29626051,38068904,29505493,29505494,38068910,47981087,59371296,72103911,85689751,84447606,84447609,85820383,85820385,86549432,72950182,72950181,72950257,72950258,86549472,100511163,108639138,99638663,85689756,72103921,72103922,74041442,86549393,87644567,74041416,61261812,49783032,49783031,59492454,59492455,72227993,66865779,66865780,80295103,80295106,72227980,66865879,66865748,54607762,54607763,59503735,59503734,72238702,74041423,74041421,64208340,54607976,43864864,34594065,34594066,43864868,257110314,75545580,62607492,54607731,54607732,59503789,48115987,48115986,59503786,60211212,59503806,59503805,72238763,80358588,91270495,80295075,66865736,54607755,43864738,34594005,26606817,266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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9690172, s2 = 8213984, dlinesl.size( ) = 14 s1 = 2090121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6566962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13318295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2649973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2649973, s2 = 2312604, int(edited[s2]) = 0 s1 = 2649973, s2 = 2312604, d1 = 1, d2 = 1 Dl.O(d1) = 116446846,102353831,88357730,74729539,61936041,256664476,31719956,24212782,24212783,28341538,28341539,257079881 Dl.O(d2) = 116446846,102353831,88357730,74729539,61936041,256664476,31719956,24212782,24212783,28341538,28341539,257079881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2649973, s2 = 2312604, dlinesl.size( ) = 2 s1 = 2649973, s2 = 2312604, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2649973, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2313228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7667573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7653163, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14246375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14246375, s2 = 11658031, int(edited[s2]) = 0 s1 = 14246375, s2 = 11658031, d1 = 0, d2 = 0 Dl.O(d1) = 226603778,224515294,222112057,219314788,216004173,212008128,207118125,201189210,194147161,185925644,176495640,165840291,154070976,141396908,271812359,100103915,86136281,72536957,59801751,257541367,38510814,255920685,16401622,11417931,7588515,7588516,11417936,16401632,22584105,28013466,36473864,46329270,57676037,70367671,83892167,258863284,125469143,138797142,151497532,163380125,174231786,183900916,192375250,199671957,205844326,210949799,215122020,218557695,221448701,223926557,226071906,227940339,229581551,231039903,232348604,233532256,234608171,235541475,234557378,233476454,232286195,230967990,229497482,227842298,225957973,223798183,221306280,218397160,214934667,210725593,205573396,199344149,191981602,183422595,173631443,162604519,150478976,137441821,123712409,109521317,95267969,81211986,67746679,55406618,44558881,35180350,27091508,20192677,14488313,9968665,6551620,4104375,2455044,1419153,807298,267734892,798560,452634,452635,798386,452521,452522,255278,141356,77443,42202,42203,77447,141369,255307,452939,799121,1307433,807274,457421,257877,257878,457424,807282,1419117,1403414,798681,452722,255203,255204,452723,798683,1403422,2415742,1403449,1403448,2426156,4053657,3725439,2230543,1293538,267743232,2427071,1404042,799024,799025,1404044,1404160,799101,799099,1404156,2242448,2242449,2427114,1404070,799037,799036,1404066,2427103,4054896,6470633,9182957,9182956,6469759,4054065,4054064,6469757,9184360,254319156,3759760,6011277,9184358,9849614,9849615,14337594,9850877,9850876,14338868,9851004,9851003,14339028,13191435,8992664,8992666,6468093,4052746,4052745,6468090,9105298,5957856,3725919,2230845,1293750,1293748,2230836,3725906,5957837,5875343,5875342,8999275,13200890,17479671,12324117,12324118,17479673,12549175,8508304,8508303,12549173,17736268,13414420,9171887,9171886,13414417,18827732,25419706,33160454,254443826,64335180,254983864,91430725,105657250,119896388,127953329,114073128,269641760,86084000,72486581,59752369,59752370,72486583,259395995,95255776,95255775,100046719,114073130,127953336,116608813,109333951,95079242,81020300,81020299,95079241,109333949,123525454,130334117,116497433,102401946,88400680,74767381,61968556,61968555,74767378,88400676,102401940,260663105,259457206,77751504,64568942,52668456,52668454,60501498,49097846,49097847,258822797,81296138,259800151,95352289,81296178,67830372,67830371,259173047,95352205,258784742,67830375,67830317,55489124,44639133,257324725,35254583,35254584,44639132,55296330,44451757,257309643,67634379,81100089,259568877,75428608,75428607,67830356,55489151,55489150,67830355,67830361,67830362,62509913,62509912,75428678,89175835,271816352,89175783,260184283,103265266,89175817,75428651,62509892,50909524,50909523,270551962,257705471,75428672,89175840,101597478,101597479,95352189,95352188,89175846,75428675,62509910,61246305,49767425,39748800,31071016,23587402,23587401,31071015,39748798,49767419,61246299,74026525,87630433,101597523,113341051,113341050,127199038,123764245,259032310,99338985,101597507,87630425,74026521,61246296,61246295,74026518,87630416,101597494,260698001,142840111,129523037,272182852,129523022,129523023,142840121,271851177,87630442,87630443,101597532,115637889,260698003,129523011,260276210,101597499,115637873,115637875,129523014,137489042,123764246,109573394,109573395,123764230,123764229,127199028,127199029,260871888,165044706,155421381,142840124,129523025,129523024,142840123,142840125,137489052,123764238,109573385,109573386,260056214,95317197,81256703,67787273,67787272,81256701,81256705,81256689,81256690,81256742,95317192,81256725,71481792,71481791,67787286,67787288,81256712,67787367,55443867,55443866,67787271,55443807,44593609,35212908,27120587,256229701,44593580,35212888,35212889,44593582,55443795,55443803,255514120,81256695,85564937,95317255,81256764,67787342,67787343,76990784,65084197,53098393,42647734,42647733,53098392,46403708,46403707,41748574,32827967,32827968,41748576,52062297,63880370,76990791,76990794,63880377,52062300,41748578,41748577,52062299,63880374,52301771,52301773,64153558,257584322,41961190,257003856,77302120,77004599,63893903,52075674,52075675,63893905,61618268,50136673,256078784,255515296,255084592,14221213,9776731,9776732,14221214,19850063,26665306,34656897,43929799,47101983,37205457,37205458 Dl.O(d2) = 226603778,224515294,222112057,219314788,216004173,212008128,207118125,201189210,194147161,185925644,176495640,165840291,154070976,141396908,271812359,100103915,86136281,72536957,59801751,257541367,38510814,255920685,16401622,11417931,7588515,7588516,11417936,16401632,22584105,28013466,36473864,46329270,57676037,70367671,83892167,258863284,125469143,138797142,151497532,163380125,174231786,183900916,192375250,199671957,205844326,210949799,215122020,218557695,221448701,223926557,226071906,227940339,229581551,231039903,232348604,233532256,234608171,235541475,234557378,233476454,232286195,230967990,229497482,227842298,225957973,223798183,221306280,218397160,214934667,210725593,205573396,199344149,191981602,183422595,173631443,162604519,150478976,137441821,123712409,109521317,95267969,81211986,67746679,55406618,44558881,35180350,27091508,20192677,14488313,9968665,6551620,4104375,2455044,1419153,807298,267734892,798560,452634,452635,798386,452521,452522,255278,141356,77443,42202,42203,77447,141369,255307,452939,799121,1307433,807274,457421,257877,257878,457424,807282,1419117,1403414,798681,452722,255203,255204,452723,798683,1403422,2415742,1403449,1403448,2426156,4053657,3725439,2230543,1293538,267743232,2427071,1404042,799024,799025,1404044,1404160,799101,799099,1404156,2242448,2242449,2427114,1404070,799037,799036,1404066,2427103,4054896,6470633,9182957,9182956,6469759,4054065,4054064,6469757,9184360,254319156,3759760,6011277,9184358,9849614,9849615,14337594,9850877,9850876,14338868,9851004,9851003,14339028,13191435,8992664,8992666,6468093,4052746,4052745,6468090,9105298,5957856,3725919,2230845,1293750,1293748,2230836,3725906,5957837,5875343,5875342,8999275,13200890,17479671,12324117,12324118,17479673,12549175,8508304,8508303,12549173,17736268,13414420,9171887,9171886,13414417,18827732,25419706,33160454,254443826,64335180,254983864,91430725,105657250,119896388,127953329,114073128,269641760,86084000,72486581,59752369,59752370,72486583,259395995,95255776,95255775,100046719,114073130,127953336,116608813,109333951,95079242,81020300,81020299,95079241,109333949,123525454,130334117,116497433,102401946,88400680,74767381,61968556,61968555,74767378,88400676,102401940,260663105,259457206,77751504,64568942,52668456,52668454,60501498,49097846,49097847,258822797,81296138,259800151,95352289,81296178,67830372,67830371,259173047,95352205,258784742,67830375,67830317,55489124,44639133,257324725,35254583,35254584,44639132,55296330,44451757,257309643,67634379,81100089,259568877,75428608,75428607,67830356,55489151,55489150,67830355,67830361,67830362,62509913,62509912,75428678,89175835,271816352,89175783,260184283,103265266,89175817,75428651,62509892,50909524,50909523,270551962,257705471,75428672,89175840,101597478,101597479,95352189,95352188,89175846,75428675,62509910,61246305,49767425,39748800,31071016,23587402,23587401,31071015,39748798,49767419,61246299,74026525,87630433,101597523,113341051,113341050,127199038,123764245,259032310,99338985,101597507,87630425,74026521,61246296,61246295,74026518,87630416,101597494,260698001,142840111,129523037,272182852,129523022,129523023,142840121,271851177,87630442,87630443,101597532,115637889,260698003,129523011,260276210,101597499,115637873,115637875,129523014,137489042,123764246,109573394,109573395,123764230,123764229,127199028,127199029,260871888,165044706,155421381,142840124,129523025,129523024,142840123,142840125,137489052,123764238,109573385,109573386,260056214,95317197,81256703,67787273,67787272,81256701,81256705,81256689,81256690,81256742,95317192,81256725,71481792,71481791,67787286,67787288,81256712,67787367,55443867,55443866,67787271,55443807,44593609,35212908,27120587,256229701,44593580,35212888,35212889,44593582,55443795,55443803,255514120,81256695,85564937,95317255,81256764,67787342,67787343,76990784,65084197,53098393,42647734,42647733,53098392,46403708,46403707,41748574,32827967,32827968,41748576,52062297,63880370,76990791,76990794,63880377,52062300,41748578,41748577,52062299,63880374,52301771,52301773,64153558,257584322,41961190,257003856,77302120,77004599,63893903,52075674,52075675,63893905,61618268,50136673,256078784,255515296,255084592,14221213,9776731,9776732,14221214,19850063,26665306,34656897,43929799,47101983,37205457,37205458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14246375, s2 = 11658031, dlinesl.size( ) = 2 s1 = 14246375, s2 = 11658031, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14246375, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6826900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2314213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1960963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2652208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7940102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13234245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6614531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6614531, s2 = 11470772, int(edited[s2]) = 0 s1 = 6614531, s2 = 11470772, d1 = 107, d2 = 103 Dl.O(d1) = 256554728,62010888,269887971 Dl.O(d2) = 262550745,263530536,260702587,101660907,87689412,259490065,272255195,212537868,274009650 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2653905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6986844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6986844, s2 = 6466247, int(edited[s2]) = 0 s1 = 6986844, s2 = 6466247, d1 = 30, d2 = 20 Dl.O(d1) = 261001292 Dl.O(d2) = 254829463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6986844, s2 = 6466247, dlinesl.size( ) = 20 s1 = 13421165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2654654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2654654, s2 = 11607572, int(edited[s2]) = 0 s1 = 2654654, s2 = 11607572, d1 = 35, d2 = 115 Dl.O(d1) = 74832892 Dl.O(d2) = 242491103,242129710,267054902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2654654, s2 = 11607572, dlinesl.size( ) = 64 s1 = 7991541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8370672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8370672, s2 = 14163501, int(edited[s2]) = 0 s1 = 8370672, s2 = 14163501, d1 = 74, d2 = 34 Dl.O(d1) = 271423309,116595369,260782766,260782764,74851341,62053249,62053250,74851342,88486948,102493522,88486962,74851357,62053261,62053260 Dl.O(d2) = 102493527,88486956,258395564,87031853,73414373,64241426,64241425,71601174,71601173,71601158,58881167,58881166,66848450,58881187,47501851,37597930,37597931,47501805,52385545,42041485,36642855,28167750,20987600,20987599,28167747,36642850,38411466,267846548,11342712,254188208,11892577,7952028,7952029,11892579,16979378,23245814,23238339,16967507,11879430,11292259,7497346,7497345,11292258,16242524,22404887,19294748,19294753,19899843,14255485,9798307,6440911,4040009,4040008,267763148,14255473,19899831,255010418,36634995,28160317,28160315,256824965,30413641,255510585,7826685,4967849,3000498,2711968,2711969,4513279,5265101,5224011,4512920,4512918,7165356,8168072,5237581,3197173,3197171,5237578,7824633,4966287,254248235,1742002,2999545,4966292,7824642,4967638,3000380,3000379,2998677,1741566,989627,989626,1741561,2998667,4964801,7822909,7320139,4968270,4968272,7827197,5223754,4965039,4965040,5224701,7823674,6355120,3987361,3987362,4966522,2999697,1742078,1742076,2999691,4966510,4967912,7826763,11721273,12177626,8226389,8226386,5341103,5341102,8278072,12257359,17234741,12177794,8209411,5464269,3360137,3184291,3184292,2999201,2999203,3357922,3357923,5305405,3255910,3255911,3231030,3231031,254582645,3293625,1937101,1106481,1106482,1937106,3293635,5358004,8304129,8231974,5303868,3254649,3254650,5303873,8201697,5272631,5272630,7820451,7820450,254086718,17343829,254167912,12484339,8455182,8455183,11718832,255126657,11159437,7401862,7401863,4734827,4734826,4960118,7817937,11716694,11719588,7928531,5040057,3051315,1777538,1013462,571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854589,4736648,7493356,11028790,7303152,7303153,255068165,11028787,11028788,7490452,7490453,7492659,7492658,5289088,5289087,8219045,12171024,254768053,7402287,8978235,7820707,7820708,5268442,5268443,8198199,8218966,5289173,5289172,5316144,3265301,254397183,3247380,3247381,5296384,3446207,3446206,5241418,5241419,3241261,3241260,3217364,254392387,4489753,4489754,7131652,4629412,2788803,1617972,920334,518963,518965,518957,291018,291017,518954,606973,1080714,607050,337777,337775,607041,915471,915470,1595447,1609059,2774010,3223515,1895763,1895760,1897012,1897014,1897001,1896992,1896993,1897029,1611180,916648,916647,1611177,1917683,254266719,5313901,3265999,3265998,3242556,1902808,1902807,3242551,254583407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8370672, s2 = 14163501, dlinesl.size( ) = 56 s1 = 10152070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2656528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2656528, s2 = 13495040, int(edited[s2]) = 0 s1 = 2656528, s2 = 13495040, d1 = 9, d2 = 9 Dl.O(d1) = 74874910,62076700,50584651,40548741,31850596,255599017,12714075,8761099,5704590,3549976,3549975,5704589,5624439,3606904,2153018,2153020,3494424,3494425,2076086,2076087,3494443,5624500,8630751,8850353,12999604,18312858,268483010,254905634,254905636,5857474,3656406,3656407,5857476,8972818,13164076,268288809,256616381,32766736,32766735,41682786,51993985,63809414,76916342,258374173,63809415,73214731,60467793,49064300,39134221,30535477,23116742,16857342,16856239,11789194,7872245,7872244,7872247,4997623,3019537,1754804,1754805,3019539,4997625,7872243,4997621,4997620,7872242,268098779,23115377,25550290,18937744,13501964,9237723,6050155,6050154,9237722,13501962,18937741,13962404,9586628,9586633,13962414,17470163,17470164,12401309,12401310,12375693,12375695,17545164,23891697,17547795,12377914,8364267,5398567,5398566,5398558,5398557,6049194,6049195,9236193,13499897,18935481,23924172,29102602,23902712,23893330,17547133,17547132,17157532,17157533,23046579,16800809,16800810,23046581,17546803,12377068,12377069,13544700,13544701,12055639,12055638,17152153,21477365,15474918,10701270,7069954,4451254,4451253,7069951,10701261,8280946,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17562553,20278536,23143318,23143319,30560313,31407537,39884056 Dl.O(d2) = 74874910,62076700,50584651,40548741,31850596,255599017,12714075,8761099,5704590,3549976,3549975,5704589,5624439,3606904,2153018,2153020,3494424,3494425,2076086,2076087,3494443,5624500,8630751,8850353,12999604,18312858,268483010,254905634,254905636,5857474,3656406,3656407,5857476,8972818,13164076,268288809,256616381,32766736,32766735,41682786,51993985,63809414,76916342,258374173,63809415,73214731,60467793,49064300,39134221,30535477,23116742,16857342,16856239,11789194,7872245,7872244,7872247,4997623,3019537,1754804,1754805,3019539,4997625,7872243,4997621,4997620,7872242,268098779,23115377,25550290,18937744,13501964,9237723,6050155,6050154,9237722,13501962,18937741,13962404,9586628,9586633,13962414,17470163,17470164,12401309,12401310,12375693,12375695,17545164,23891697,17547795,12377914,8364267,5398567,5398566,5398558,5398557,6049194,6049195,9236193,13499897,18935481,23924172,29102602,23902712,23893330,17547133,17547132,17157532,17157533,23046579,16800809,16800810,23046581,17546803,12377068,12377069,13544700,13544701,12055639,12055638,17152153,21477365,15474918,10701270,7069954,4451254,4451253,7069951,10701261,8280946,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17562553,20278536,23143318,23143319,30560313,31407537,39884056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2656528, s2 = 13495040, dlinesl.size( ) = 2 s1 = 2656528, s2 = 13495040, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2656528, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 2656560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2319607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2319944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2319944, s2 = 10230857, int(edited[s2]) = 0 s1 = 2319944, s2 = 10230857, d1 = 0, d2 = 3 Dl.O(d1) = 62104362 Dl.O(d2) = 156338288,167916789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2319944, s2 = 10230857, dlinesl.size( ) = 2 s1 = 2319944, s2 = 10230857, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2319944, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 14165176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165176, s2 = 14161159, int(edited[s2]) = 0 s1 = 14165176, s2 = 14161159, d1 = 9, d2 = 14 Dl.O(d1) = 210745268,206958700,200998499,193929452,185678350,176218441,165539306,153759544,141089850,127736327,113863151,99845451,85890715,72297963,59563600,255908248,267975886,254355318,7474552,4723824,4723825,7474555,11259279,16196786,16196787,22346488,22346489,22346494,16197238,11259343,11259344,11738338,11259605,7474763,4731071,4731070,7471566,11255211,16191541,22333287,22333286,29685290,38250296,255466694,72280881,85872926,99826644,113842517,127713312,141064312,153731101,273351617,200968447,200752271,193647586,185357646,175855131,165133461,153322493,153322492,165133459,165133462,153322495,140643600,127297688,113439051,99437176,85495648,71910628,59172714,254766972,37850841,29282920,22710354,16506363,16506364,21603472,268104174,7118888,4482231,2693131,2693132,4482239,7118906,10774255,15575670,255847593,21603855,19834136,19834138,26647638,34639147,43912575,49722358,256874778,31026401,23545472,17237867,12121087,12121086,10774293,10774292,15575724,14208571,9767667,6422056,6422055,9767666,14208566,19834212,255379780,36839298,34639225,26647724,255315587,14208561,268330239,21603525,21603675,15575746,10774301,7118931,7118932,10774306,12086909,15575866,255414593,28879421,26647642,26647643,28879114,28879118,30904908,26647657,26647655,26647654,34639160,43912585,37420668,28879107,28879106,37294234,28760437,28760431,28760430,37294228,37294153,37294154,28908427,28908426,28760398,28760400,37294194,36794047,36794046,46680141,52086863,42211829,33249755,33249756,26043450,19364577,19364576,26043447,33865488,42911074,53377430,43912643,43912618,37447574,37447573,47354183,53911111,43386885,43386884,53911107,47354430,47329111,37420866,37420867,42211855,33249775,25498752,25498753,28908305,37447593,33249771,25498748,18893146,18893143,18893142,25498744,33249764,33249805,42211875,47202199,37447770,268925263,47202210,47202215,37447581,37447580,47354199,42911182,33865583,26043507,19364596,13851215,9502038,9502036,13851211,19364592,26043494,33865557,34639231,34639230,43386898,34287792,34287793,43386901,52572608,47354211,37447587,28908299,28908298,256882677,47354445,37447806,28908446,21634109,21634108,28908322,21634036,15602578,10793898,7131354,7131355,10793904,15602587,21634049,25498733,18893138,18893137,25498728,25498766,28908218,28908216,37447454,47354038,58741635,47354456,37447810,37447811,47354463,48585499,49983119,49722362,39703566,39703567,37447549,28908281,28908280,37447545,42911093,42911094,47354440,47354441,47329619,256488068,71448931,85021122,98946313,258222798,58741846,47354255,37447624,37447625,47354231,47354232,58741817,58741721,47354118,37447519,37447520,37447829,37447828,47354086,37447488,28908246,28908238,28908239,28908259,28908258,28908268,28908270,37447531,47354134,42211818,42211819,52572569,47865640,37947395,29382639,28225029,21029093,21029091,28225020,36718316,46606527,47938154,47938156,59329876,58741824,58741823,58741754,47354163,37447560,37447561,47354167,58741781,71471466,58741990,58741991,59712905,52267734,52267733,64116745,72064180,71471406,71471352,71471351,71471416,59329878,47938157,47938158,59329882,71471453,84252777,86365190,77615338,64447379,64447381,60615429,57983554,46606507,46606506,57983551,70701168,64550225,52650648,52650646,64550220,60615446,49214726,49214727,60615451,73360199,60709374,49307085,39379407,39379408,49307090,60709379,60615455,60615454,73360205,85043225,71471442,71471444,85043227,77263800,77263801,86971645,77263791,64116756,52267739,52267738,64116753,77263786,91182709,98968212,85043190,85043191,85043235,85043233,72768114,72768113,86365200,77615203,73360163,73360162,84252757,70701164,70701165,84252762,91661081,91661075,84649882,84649881,98573070,86031844,271373620,73360133,73360132,86971616,77615204 Dl.O(d2) = 28289438,25498697,21603087,15575356,15575359,21603090,28878306,21603050,15575331,15575330,21603044,25498672,25498671,18893200,18893201,18893183,13463836,13463835,13463861,13463862,18893236,25498861,18893215,13463852,13463853,18893221,21603013,21603015,23450081,23333957,23333958,30756623,28878228,21602993,15575309,15575308,19648050,19648052,19648058,15575315,15575314,21603005,28878251,25498784,23450052,23450051,21083049,15143931,15143930,21083045,15575371,10774073,7118811,4482196,2693118,2693117,4482192,7118807,10774060,15575342,21603069,21083040,15143926,15143925,21083038,21602962,28878186,37419792,42211999,33249919,25498857,25498855,28878284,21603023,15575323,15575324,21603029,17067676,17067677,23333967,30756634,28878215,21602982,19648057,14083011,9686821,9686822,14083017,19648067,24395673,28289426,21083029,17173626,12075036,12075038,15143935,16853629,22449482,29817188,36621567,36621566,46488167,268604756,40526466,40526467,36728759,28234696,21037133,21037134,28234698,36728760,28648468,28648469,30041286,255806183,15134703,11048510,11048512,15925378,22026258,17873488,12657132,12657131,15134745,10438460,6881352,6881351,10438456,15134732,21069842,28272790,28272757,21069814,21069812,28272748,36767735,37925797,29359656,22029310,15928194,15928195,22029314,29359665,37925813,31884008,24387129,17987566,12748760,12748759,17987562,24387119,31919690,40635304,36767772,29356816,22026358,15925451,15925450,22026356,23763902,31248298,32029755,32029756,31884061,31884062,29648802,256068194,40786525,40786524,50562784,40526485,31829379,24311764,17926686,17926685,24311763,31829376,37164860,35044494,35044496,44418821,37384207,37384206,35044491,35044492,44418820,50871192,40756249,32001188,32001187,40756246,40240947,33197708,25451367,22414795,22414797,24442260,32001177,32700179,25016836,21882674,15806722,10953162,7249215,7249216,10953160,10953159,15806718,255868731,37755862,46605677,36717616,28224456,28224455,21572141,21572142,28843666,31248499,31248500,24342337,17951570,12720900,8643571,8643572,12720902,17951571,24342339,31864784,40566710,50608108,62107298,74911430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165176, s2 = 14161159, dlinesl.size( ) = 2 s1 = 14165176, s2 = 14161159, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165176, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 9414287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8461657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7940186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2321729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8384530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8384530, s2 = 7659947, int(edited[s2]) = 0 s1 = 8384530, s2 = 7659947, d1 = 28, d2 = 18 Dl.O(d1) = 256056097,31917054,31917055,31917051,31917052,257113689,62211204 Dl.O(d2) = 271384406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8384530, s2 = 7659947, dlinesl.size( ) = 36 s1 = 2659054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6666940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2659322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1176613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1176613, s2 = 13425600, int(edited[s2]) = 0 s1 = 1176613, s2 = 13425600, d1 = 14, d2 = 27 Dl.O(d1) = 29917552,29917555,38476470,37460638,28921199,21645921,21645922,268211583,10802502,10802501,15613373,21646273,28921699,37461155,47366476,39162502,39162503,258454609,53372189,53372188,57802411,46446803,46446804,57802412,62472111 Dl.O(d2) = 84428543,81015653,81015652,95074635,98338072,84428486,70871138,258656633,70871134,58157138,46789754,36912136,28414510,28414509,36912133,46789745,258656629,70871137,58157171,46789786,46789787,58157173,257422332,46446806,46446807,57802417,70503402,84038295,84428464,70871210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6469878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2323669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2660865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352317, s2 = 10351559, int(edited[s2]) = 0 s1 = 10352317, s2 = 10351559, d1 = 0, d2 = 16 Dl.O(d1) = 39068499 Dl.O(d2) = 269022868,75038928,255605586,254884096,18653300,18653298,267851504,13227159,13227158,254622524,15743280,15743281,18279763,12974142,8831368,8831371,12974146,18279773,18554550,18554551,25103275,32805249,257173441,41725604,32805416,25103413,18554673,18554674,18554289,15871302,15871303,12974138,8987072,5867294,3663096,3663095,5867291,8987065,8987285,5867415,3663176,2191858,1272472,727334,413839,413838,727330,1272461,2191840,3663143,5867369,8987204,13184060,18554579,21418550,19283516,13785152,9451465,9451463,13785149,19283506,25103403,32805408,41725576,32805390,28664792,21418900,15428328,10665753,7044015,7044016,10665756,15428330,21418902,28664793,29102116,29102117,25103367,18554636,13184097,254639203,5867378,8987058,13183843,18554245,13184227,8987281,5867404,3663169,3663168,5867398,8987272,13184217,18554797,25103557,25103251,18554571,13184054,13184055,18554522,18554523,25103248,28664375,37185357,41725589,32805405,25103401,25103343,18554610,18554611,25103345,32805349,32805403,33884032,255674756,41724930,41724929,52040030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352317, s2 = 10351559, dlinesl.size( ) = 20 s1 = 2660953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9409704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282501, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2324644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2537202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2537202, s2 = 9721847, int(edited[s2]) = 0 s1 = 2537202, s2 = 9721847, d1 = 130, d2 = 96 Dl.O(d1) = 72039832,75428940 Dl.O(d2) = 39922791,41151249,41151250,268749264,42684139,256650802,256157910,22365010,29721205,38287636,48196728,50395994,40360688,33653884,25849434,19194335,19194336,255265802,26350880,19621537,19621536,25849439,25849440,33653888,42282168,257206827,64569748,59583148,48196711,38287620,29721196,29721197,38287621,42684114,42684115,43321485,41151240,32336042,24719864,19194347,13708616,9389444,9389443,13708612,19194340,25849445,33300878,33300879,42282207,52669349,256650800,42684132,33653900,25849451,25849453,33653904,42684123,33653891,33653886,33653885,42684117,36916559,36916560,36916569,28418686,28418688,255669506,33653890,42684122,52669347,42684141,42684142,42684112,33653882,25849432,25849431,255515499,16837349,23092172,30506992,39103489,42282194,33300864,33300862,26324247,26324246,28418680,21196366,21196367,256305269,37995230,29432797,23482945,23482946,30920212,32336052,32336051,41151253,34197876,26325083,19598285,19598284,26325081,256134414,34196879,30506986,23092170,16837348,16837347,23092168,26324218,19597594,14042078,14042079,18978825,13542611,9270983,6072700,6072699,9270981,13542606,18978817,25587640,33347801,42329177,52716288,64616515,77799013,91726764,105934220,120146281,133987540,147210047,159568938,170896626,181014885,273633839,197545662,204063000,209500491,213961653,217623336,264685582,223278202,223766889,221272188,218359879,214894052,210681986,205525711,199292489,191925328,183361335,173564977,162532139,162532140,162532141,150401753,150401752,162532140,162532141,257910846,123628149,109434636,95178486,81119970,254976368,44468087,35091563,27005624,27005623,27006508,24573998,18132285,18132287,21402389,28643521,33750671,25943262,19279871,19279869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2537202, s2 = 9721847, dlinesl.size( ) = 16 s1 = 2324855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8592758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7995265, s2 = 6888725, int(edited[s2]) = 0 s1 = 7995265, s2 = 6888725, d1 = 44, d2 = 20 Dl.O(d1) = 18065544,18065543,24489555 Dl.O(d2) = 103304795,106100164,106100163,259696160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7995265, s2 = 6888725, dlinesl.size( ) = 20 s1 = 10188025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2326446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233349, s2 = 4274688, int(edited[s2]) = 0 s1 = 13233349, s2 = 4274688, d1 = 46, d2 = 23 Dl.O(d1) = 4738031,4738030,7495272,11288985,7495209,7495208,11288982,16237857,22398906,25496949,29757000,22396364,16236175,16236176,22396367,28257253,29229415,28257124,21056252,21056251,20807194,14912182,10253628,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543 Dl.O(d2) = 164534398,152693141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233349, s2 = 4274688, dlinesl.size( ) = 30 s1 = 2664977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14576103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14576103, s2 = 14164173, int(edited[s2]) = 0 s1 = 14576103, s2 = 14164173, d1 = 32, d2 = 37 Dl.O(d1) = 114540839,114540840 Dl.O(d2) = 268501104,71964047,59225904,59225903,70705592,70705593,84256982,77765280,77765281,77765269,77765270,91693040,77765252,64582219,52681838,42295333,268898178,64582220,64582249,64582248,74672521,88297983,255355592,128360554,114483973,100458887,100458888,114483974,100508683,86546601,72946798,70192022,70192021,83713792,72946794,72946795,86546579,72946775,72946774,86546577,100508669,114538879,111527884,97587029,83713570,70191842,70191841,83713569,97587027,85360978,71771188,71771189,85360973,97587055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14576103, s2 = 14164173, dlinesl.size( ) = 2 s1 = 14576103, s2 = 14164173, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14576103, Dl.E( ) = 40, 1e-05 seconds used appending s1 = 2665638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2665638, s2 = 8001826, int(edited[s2]) = 0 s1 = 2665638, s2 = 8001826, d1 = 2, d2 = 0 Dl.O(d1) = 75630918 Dl.O(d2) = 62686280,51055741,40913864,32136058,24554670,18117430,12846901,12846903,16751789,16751790,22990260,30393775,32581149,32581121,24924344,24924345,30643894,23221066,16948092,11861555,11861558,16948103,18674427,13362794,9132406,5976326,5976325,3737477,3737476,5976347,9132452,13362882,18765840,25346943,33077195,39361252,39361254,32821578,25241368,25241364,30607325,39203277,49130140,49363169,42021170,42021169,255812096,35148015,27062210,27062211,30830834,30830835,39435021,269374755,269306352,49364278,39435019,30830831,23402724,17129914,17129913,23402721,23402720,28278728,28278727,36774584,33021195,33021196,25427579,25427580,30077989,30077988,32461256,36865122,36865123,29635051,22282661,22282662,28978035,32461270,24823533,255547712,41304376,51522173,58823028,58823027,71551096,71551108,71551087,58823016,47436444,37528685,37528686,47436447,58823021,51118916,51118917,58823022,59075520,59075519,71816938,257786614,256641622,36530096,36530097,46390274,256126166,48141428,38231198,268403331,16167192,11234655,11234656,16167194,17373442,16621560,16621559,17127610,22315661,22319095,16174120,254842489,5334020,5334019,7461512,11241492,16174082,12572736,8526857,5525482,5525481,8526855,12572734,17415485,12612502,8560963,5558101,5558102,7455859,7460845,5346575,3285823,3285819,3286218,4712160,3286568,3286567,5347776,7454144,4709738,4709741,4714626,2840203,2840204,2943343,254365389,4884703,4714607,2840192,2840191,4714604,7460955,11240471,11200941,7432093,4696350,4696349,2838558,2838559,4711875,7456998,5550596,5550595,4709539,2840405,1647651,936803,936804,1647654,2840411,2943411,2943410,4710136,2837472,2837470,4710133,7454676,11233492,8539448,254464782,7717668,7717669,11593959,8517833,5516073,5516071,8517829,6016848,3763839,2255061,1308820,1308819,2255059,3763836,3784362,3381650,3381651,5489571,3380252,3380254,5489573,8483284,5483934,5483935,5518771,8520462,5532614,3418187,3418188,2035241,2035240,2012166,2012165,3410062,3377359,3377360,3003193,1744078,991019,557385,311651,254079291,52288,52287,94755,172248,311646,557378,991009,1744066,1744162,1403296,798612,798611,1403293,2425923,2425940,1403302,1403301,2425937,3201335,3201334,5242545,4979804,3008106,3008107,4072047,4072048,6498547,9889876,6498928,4072272,2436716,1409054,801623,801624,1409056,2436722,2434939,1408142,1408141,2434933,4069204,6494069,9883963,9883942,7832574,4971893,3003047,1744001,990981,990980,1743995,3003038,4971882,7832560,11731874,14384718,14384717,16617301,14384734,10887655,7199653,7199651,9862979,6478860,4059982,4059983,4971707,4499986,4499987,4873943,4499290,2703537,1566575,890803,502666,502664,502683,281882,281886,502698,802129,454468,256138,141839,77724,42360,42361,77727,141844,254095671,802218,1410232,2439110,4076495,6505341,9898298,9876274,6488229,6488228,9876272,14370354,9898640,9898639,14385516,10889239,7200963,4536776,2727011,2727012,1934715,1934716,3289955,5353012,8297806,9871638,6484990,6484989,9871637,10889220,9875943,6487967,6487956,6487957,9875926,12144661,12144662,9889922,9889921,11272097,10889810,7201487,7201486,10889804,9877444,6489077,4066044,4066043,6489072,6489080,6489081,5353000,5352999,6504330,9897109,14368236,14368235,10882005,7194827,6505782,4076789,2439267,1410319,802258,802256,1410315,254315597,6505761,9898829,14336252,255169465,12286940,9901110,6507656,6507655,9873609,6486249,4064343,4064341,6486245,4070396,2435667,2435666,4070391,254470763,2440043,2435683,254315227,6495907,6507694,9901174,11395320,7571357,4788335,2886190,1675093,1675092,2886188,4499378,4078090,4078089,6507794,9901266,14391924,20074480,17432398,12286917,11732305,11732304,11732328,9898096,9890473,8297789,254399949,1934712,1105085,1105084,1934711,3289946,2433150,2433151,4066047,4075785,2438667,1410013,802116,802117,1410017,2438671,2438748,1410208,802241,802240,1410286,2439220,1666912,1666913,2872153,2436891,2436893,2436858,2436857,4072486,6499243,4072704,2436997,2436998,4072449,6499180,9890665,14364925,9871586,9871585,14364923,9902189,9902188,14354183,9875888,6487930,4065344,2432787,2432786,4065340,6487925,9872251,9866912,6481683,4061677,4061678,6481688,9866919,14359371,11589786,9881237,9863046,254468601,2429983,1405618,1405619,2429986,4060014,254469529,2434350,2434347,1408234,801221,454019,255908,255906,454006,801192,1408189,2435036,4069374,2726798,2726800,4536402,4536636,7200737,10888953,9884303,9884305,6505289,6488822,4065893,4065892,6488817,9877083,9877479,6489132,4066075,2433167,1407292,1407291,2433163,2435020,2435021,4066346,4066345,6489552,9878056,9876981,6488756,6488758,6507772,4078069,2440005,1410730,1410732,2440012,4064974,6487312,6486067,4064253,2432226,2432225,4064247,6486055,6508107,6480569,6480572,9865530,9890636,6499158,4498613,4498615,7144332,6500328,6500324,6496841,6484377,6479451,6479452,9863921,9870285,7571299,4788291,4068314,4068315,6492757,8516204,5514416,5514417,8516207,254973897,6502158,6502162,9894466,14388655,10895499,10895500,14387435,9893127,6501069,6501068,6501904,9894146,14361854,9868577,6482663,254314747,2431152,4062210,6482668,7576438,7576439,11402085,16382955,14452413,9943056,7832426,4971790,4971788,3003006,1743990,1743988,3003026,4971866,7832533,9876873,14370911,14375793,9897574,9897576,14374961,9880945,7199721,7199720,9849142,6488771,6488773,9877014,10888377,9877634,6489230,6489232,9877641,9893207,9876044,6503203,4075075,4069498,4069486,2435131,2432066,2432070,4063928,4075428,4066120,4066117,4499565,2703715,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725128,4533433,6535170,4094677,4073435,2437368,1409358,1409361,2437395,4073504,6500823,7200372,7833111,7833110,11732446,13555791,9280605,7715706,4883538,4883535,6498108,6498107,7198924,4535434,2726243,1579607,1579608,2726245,254510949,7912571,5030062,3044964,3044968,5030068,7201378,7201361,7201362,9891905,6500062,6500061,7197285,4534388,4534387,7197280,10884727,12581936,8534937,8534936,12581932,16615891,255498867,15721287,10884748,10884750,10886194,7198431,7198430,10886190,10893498,7204288,4538802,4538801,7204284,10893493,10887167,10887169,15723774,18980633,14357710,9865449,6480508,6480509,9865453,8534929,5533080,5533081,3418654,2018600,1154870,647921,647922,1154872,2018601,254415157,8534965,12581979,17777734,19040013,19040012,22862285,256444321,24150307,24150306,31660879,31140921,23653387,17336314,17336315,23653389,31140925,39823655,43020659,43020660,46612238,46612237,57988415,70705593,84256982,85413891,71825560,71825561,65739760,53683439,53683438,65739759,257163626,47827937,39823654,39823653,49847557,52681860,42295345,33314877,25553102,25553103,28483323,28483322,36980419,254936000,255279348,64582233,77765270,91693040,77765252,77765251,70192114,70192115,83713859,87302772,87302771,97587160,83713712 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2328824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2328824, s2 = 9530685, int(edited[s2]) = 0 s1 = 2328824, s2 = 9530685, d1 = 1, d2 = 0 Dl.O(d1) = 62687947 Dl.O(d2) = 59745357,59327384,59327385,53014088,42573734,38460568,29903652,29903653,38460571,48362053,59745351,72480311,86078225,77305665,64157338,52305845,52305844,269982247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2328824, s2 = 9530685, dlinesl.size( ) = 2 s1 = 2328824, s2 = 9530685, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2328824, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3055843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2328962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6929168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8207971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7602625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7602625, s2 = 14311917, int(edited[s2]) = 0 s1 = 7602625, s2 = 14311917, d1 = 29, d2 = 6 Dl.O(d1) = 268995908,62727374,51095384,51095385,62727376,75673946,62727378,62727377,57635377,46290784,36437601,27978647,27978648,255560990,39954662,33757339,25949443,19285232,19285233,25949445,33757341,32044409,24479394,24479393,32044407,36733777,28238999 Dl.O(d2) = 30462579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7602625, s2 = 14311917, dlinesl.size( ) = 12 s1 = 1634949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9167788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7661169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13501021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13501021, s2 = 8327761, int(edited[s2]) = 0 s1 = 13501021, s2 = 8327761, d1 = 14, d2 = 18 Dl.O(d1) = 63140441,62816600,51169932,41015936,41015937,51169934,62816603,51441122,47979255,38067336,38067337,47979257,51441314,59298760,59125896,47727540,46932847,46932849,37988656,37988657,47904229,51441412,51441411,42506412,33507480,255706848,13634582,13634581,19097245,25729020,33507471,42506398,50612648,50612649,62112198,257092596,64840685,62816595,62816594,75776564,85623453,257505214,256949622,48262641,51441052,41242092,41242091,41242351,37988672,37988673 Dl.O(d2) = 257824482,47982186,257508371,72104830,67803900,55462463,44613827,35232407,27137611,27137610,35232405,44613824,55462459,55462448,44613817,44613818,47704381,47704382,59102465,55462434,44613807,44613803,44613802,55462429,67803869,81271286,95330284,87130431,73511628,60762422,60762423,73511631,87130434,95330273,95330274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13501021, s2 = 8327761, dlinesl.size( ) = 14 s1 = 6657295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8469507, s2 = 1979543, int(edited[s2]) = 0 s1 = 8469507, s2 = 1979543, d1 = 28, d2 = 54 Dl.O(d1) = 62839106,270458889,103701653,117856270,117856266,103701646,89585750 Dl.O(d2) = 75803295,257721637,41032281,41032282,51188917,62839108,62839110,62839109,75803298,89585756,103701652,117856268,273034686,103701629,103701631,117856255,262044640,51188915,51188917,62839108,62839110,51188919,41032284,32239716,255617675,254627841,3556215,3556186,2118761,2118760,3489830,2072864,2072867,2153389,2153392,2466700,2070929,1189383,668551,371110,371113,208996,206594,112925,62004,34629,19720,19716,34681,62135,113378,207338,377612,403021,675572,1199792,1199855,2086719,2143597,2086781,2086779,2089392,2089390,3513756,254622489,268269333,41573519,41573520 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656856, s2 = 2669729, int(edited[s2]) = 0 s1 = 11656856, s2 = 2669729, d1 = 0, d2 = 0 Dl.O(d1) = 7511038,4747904,4747905,7511042,11312499,16269430,21696980,255160452,21697784,18594141,13213584,11966078,11966079,16268569,255456801,16085733,22217139,16269185,11312251,7510834,4747723,4747722,7510832,11312246,10836769,7163454,7163453,10836766,15655965,21696338,28977864,22013650,15912198,11033896,11033895,11172237,7412351,4683725,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682815,4512147,2711318,1637046,1637043,2821789,2711186,1570621,1570622,2711187,4511921,7163801,10837224,15656378,21696648,16268239,11311240,11311241,16268240,22435860,256409919,48150972,38241989,38241988,31245960,31245959,29353853,22022687,21638267,17267259,12146718,12146717,12288747,255139556,14054930,15917780,15917781,12160951,12160950,12179249,12179250,17301242,15916811,12157328,8187996,254835693,17237310,12120138,8151654,8151653,12120137,12203270,11716868,7818163,7818164,10725427,7086315,7086316,10725428,12164243,12179055,12142809,8172140,5241268,5241269,8172143,5295768,3246766,3246765,5295765,8225344,12177601,8209193,5280092,3233501,1896624,1082532,608001,608000,1082528,1082533,1082534,1896627,3233502,5280094,8209195,12177602,17299638,23612798,31096617,39774744,49794298,61273238,74053096,87656392,260103159,260700207,142867632,133973217,120131203,105919075,91711477,77783629,64600438,52699739,42312660,33332345,256653687,18963677,13528100,9258829,268146911,25564324,18953042,18953041,25564323,257209099,42305928,52692746,64593242,77775914,91703304,105910342,120122057,133963778,261982519,162201805,149994384,136860465,123029498,108760322,94466782,80406945,66976642,54717734,43973959,34698793,26704309,26704308,34698792,32252174,32252175,41045304,51201444,62850854,75814376 Dl.O(d2) = 7511038,4747904,4747905,7511042,11312499,16269430,21696980,255160452,21697784,18594141,13213584,11966078,11966079,16268569,255456801,16085733,22217139,16269185,11312251,7510834,4747723,4747722,7510832,11312246,10836769,7163454,7163453,10836766,15655965,21696338,28977864,22013650,15912198,11033896,11033895,11172237,7412351,4683725,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682815,4512147,2711318,1637046,1637043,2821789,2711186,1570621,1570622,2711187,4511921,7163801,10837224,15656378,21696648,16268239,11311240,11311241,16268240,22435860,256409919,48150972,38241989,38241988,31245960,31245959,29353853,22022687,21638267,17267259,12146718,12146717,12288747,255139556,14054930,15917780,15917781,12160951,12160950,12179249,12179250,17301242,15916811,12157328,8187996,254835693,17237310,12120138,8151654,8151653,12120137,12203270,11716868,7818163,7818164,10725427,7086315,7086316,10725428,12164243,12179055,12142809,8172140,5241268,5241269,8172143,5295768,3246766,3246765,5295765,8225344,12177601,8209193,5280092,3233501,1896624,1082532,608001,608000,1082528,1082533,1082534,1896627,3233502,5280094,8209195,12177602,17299638,23612798,31096617,39774744,49794298,61273238,74053096,87656392,260103159,260700207,142867632,133973217,120131203,105919075,91711477,77783629,64600438,52699739,42312660,33332345,256653687,18963677,13528100,9258829,268146911,25564324,18953042,18953041,25564323,257209099,42305928,52692746,64593242,77775914,91703304,105910342,120122057,133963778,261982519,162201805,149994384,136860465,123029498,108760322,94466782,80406945,66976642,54717734,43973959,34698793,26704309,26704308,34698792,32252174,32252175,41045304,51201444,62850854,75814376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656856, s2 = 2669729, dlinesl.size( ) = 2 s1 = 11656856, s2 = 2669729, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11656856, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7566031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9095657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9095657, s2 = 13069271, int(edited[s2]) = 0 s1 = 9095657, s2 = 13069271, d1 = 79, d2 = 68 Dl.O(d1) = 14125950,9718358,6393277,6393152,4012053,4012055,6393157,4881604,4881603,7712983,11587402,16612835,17811286,17811285,17801476,12601302,254139356,24168976,254418972,16111317,22249070,256935957,52509300,42151709,33192931,25447538,18850173,18850172,25447537,33192930,257680165,268689815,31707008,40398835,31707010,31707011,33192928,42151706,50432118,40398836,40398837,50432120,61921909,61921908,74715128,88342902,89711736,75932567 Dl.O(d2) = 112274118,98292538,98292539,98292545,84383735,70826083,70826082,84383733,98292541,112274124,126133261,139507998,152239037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9095657, s2 = 13069271, dlinesl.size( ) = 2 s1 = 9095657, s2 = 13069271, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9095657, Dl.E( ) = 84, 4.1e-05 seconds used appending s1 = 14163612, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7993676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7993676, s2 = 8345470, int(edited[s2]) = 0 s1 = 7993676, s2 = 8345470, d1 = 17, d2 = 14 Dl.O(d1) = 256589286,32309185,268468036,51304942,51304941,62983172,75965956,62983122,62983121,75965955,75966032,76982870,76982869,90860921,103849786,269939652,62983213,62983214,75965997,62983211,256077984 Dl.O(d2) = 145082536,145082537,145082538,157517283,145082535,131823192,258064298,103849745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7993676, s2 = 8345470, dlinesl.size( ) = 2 s1 = 7993676, s2 = 8345470, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7993676, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 6503491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9381779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9381779, s2 = 2671652, int(edited[s2]) = 0 s1 = 9381779, s2 = 2671652, d1 = 19, d2 = 16 Dl.O(d1) = 404917,716457,694136 Dl.O(d2) = 32316083,41129406,51312412,62990905,75973015,89751757,260208887,123537335,109345590,95091423,258791214,67564071,55220409,256434176,26909799,26909800,26662014,26662015,34653591,256379402,26590811,19799765,14182350,14182351,14185873,14185872,14593154,18739995,25317852,19803669,19803668,18510265,18510264,19788762,14174381,9744490,6407526,6407525,6581543,4123580,2466932,2466930,4123566,6581509,10013667,9748809,9748807,14180973,19052892,14174188,9747163,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599475,6599478,10042330,14594397,20335627,23186844,30606022,35397839,27271312,27271311,23417737,23417736,17141927,12047300,12047301,17141930,23418031,30848342,39452484,47866470,37948372,30605817,26608029,26608030,31626193,24120804,24120803,31626190,40314413,37775956,31667603,31667602,29214486,22463427,16295206,16295205,22463423,29830848,38403008,37776216,37776217,47697089,51075724,47858837,37939398,37939397,32156097,24572015,23187179,16920924,11842153,7914163,5031027,5031026,7914162,11842150,16920920,12544920,8504008,8504007,12544918,13847891,9499712,6230913,3901073,3901072,4988567,4878134,4878133,3901067,3901065,5170881,8075908,12016793,17102456,23371223,30797783,39400955,49329189,60731125,73479290,64771749,52851925,42447600,33454450,30183576,30183574,38767088,255942540,57626558,46282231,36429512,27970855,20807637,20807638,27970856,22664771,16469903,16469904,17801687,12601469,8551532,5549498,5549497,8551531,12601467,17801686,24169136,31677585,40371293,50406403,61896944,74690642,256546370,116406148,130242771,143570517,156105482,167709267,178165531,187393373,195424014,202290559,208063673,212823579,216714994,219940623,264027640,263310446,197095299,262429814,180471662,180471661,180471659 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9397044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9397044, s2 = 9191966, int(edited[s2]) = 0 s1 = 9397044, s2 = 9191966, d1 = 3, d2 = 0 Dl.O(d1) = 257914738,43902201,34629727,26639815,26639816,256724105,54645378,57610461,46265972,46265973,57610462,70301053,70550859,67639301,55301048,55301049,256607736,55301072,44456547,44456546,55301068,61213294,55301050,44456533,35081626,35081627,39733420,31055388,31055389,39733422,49752034,61231173,74011928,257036780,87616051,95098423,81039992,81039991,87757617,101730064,91271304,77351311,64203640,61373185,61373184,256023838,52353302,64203658,62994758,51315657,41132097,32318391,24704044,24704039,24704038,32318383,41132087,37698166,29137388,21830003,15761824,15761823,21829997,21829998,29137378,37698152,32148557,32148558,40925956,51066514,62695566,75639666,89400744,103494977,117625261,259134270,144649082,143057192,129726555,115827385,101781218,87808817,74205560,74205559,259498881,74205561,61427014,49949511,39932434,39932433 Dl.O(d2) = 67598261,55256747,44409360,35034885,26954865,20070562,14387009,9892624,255094715,11317252,16275475,20070558,14387007,14387008,268337065,26954861,35034881,44409356,55256745,67598256,81065890,95123406,101815262,87841061,74235913,61456620,256605618,23800281,17467555,12314886,8318343,5367749,3300020,3300021,2763031,1601743,910756,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,2077396,1193865,1193866,764286,764288,1338022,2305851,3848301,4091798,2448098,1415446,1415450,2448111,1526729,865911,865912,1526730,254333511,255398513,28578002,37082276,29566916,29566914,38132786,38132822,37082263,28577995,21348842,15373126,15373127,21348846,28578000,37082272,44594178,35213467,27121067,20217714,20217715,27121071,29567697,22221413,16088994,12528181,8489727,8489729,12528185,10620160,7008789,4405965,2641155,2641154,4405961,7008782,10620149,15369818,10620120,10620118,15369815,21344620,28572740,23614402,17301290,17301291,23614406,24065913,17710277,17710276,256321428,2887149,1675664,1675665,2887153,4789852,7573491,11398141,268923952,29912006,22554893,16377518,11398130,7573483,7573482,11398128,268228661,11398150,11398149,16377558,22554952,29912081,29912003,29911998,22554886,16377515,16377516,22554890,29912004,38469887,48371513,59753958,48435382,38527425,29961863,29961864,29961865,38527427,48435385,59821357,269367720,61790112,50309469,40287933,31603282,31603283,40287934,50309471,61790116,74574639,88190446,258822988,117873977,103720417,89605571,75823506,75823505,75823507,62859649,51209711,256586087,24658431,18199557,18199558,24658433,19341100,13832038,9487337,6221616,6221615,6223364,9489585,13834949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9397044, s2 = 9191966, dlinesl.size( ) = 2 s1 = 9397044, s2 = 9191966, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9397044, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11656810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2336099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2336099, s2 = 6733043, int(edited[s2]) = 0 s1 = 2336099, s2 = 6733043, d1 = 25, d2 = 122 Dl.O(d1) = 63017215 Dl.O(d2) = 257827844 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2337015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2337015, s2 = 8407879, int(edited[s2]) = 0 s1 = 2337015, s2 = 8407879, d1 = 3, d2 = 15 Dl.O(d1) = 63033081 Dl.O(d2) = 86404629,100360948,114384463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2337015, s2 = 8407879, dlinesl.size( ) = 16 s1 = 8209323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8505281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356031, s2 = 15092058, int(edited[s2]) = 0 s1 = 10356031, s2 = 15092058, d1 = 33, d2 = 29 Dl.O(d1) = 269124749,262034781,262674206,270843990,81012779 Dl.O(d2) = 57791532,70492105,72807375,72807376,70492112,61915641,53541292,255804844,256406168,57791221,57791222,63787652,54615002,43872698,259000521,67711930,257207038,256134712,34578317,26590924,254652694,9742932,9742933,9751846,7265318,4581751,4581750,4701581,6406660,6406662,6408115,4020260,2409041,2409038,4020252,254465673,2410110,2410109,4022384,6411783,9751499,14185225,19803620,26611565,257284431,256720659,31627592,24122241,17760608,12567859,12567861,14551806,10012951,6581126,4123350,4123351,6581130,6410877,4021863,2409838,2409839,4021865,6410881,9749946,14182788,19800355,26604171,256364939,21903640,15823538,10965607,7258218,7258219,7258223,7258222,10965614,15823547,255808426,20923051,28098400,30425737,30425736,23187909,16921498,16921499,15958402,11075485,7343939,4638545,4638546,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473518,15820326,21899305,19138375,19138374,25779660,22281810,22281811,16842423,16842422,23098338,255457638,18659660,18659661,19273731,19273732,25936339,22997648,16758391,16758390,22997646,25201790,25201792,28933258,28933257,33012501,25287504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356031, s2 = 15092058, dlinesl.size( ) = 28 s1 = 6830698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6830698, s2 = 15291268, int(edited[s2]) = 0 s1 = 6830698, s2 = 15291268, d1 = 66, d2 = 121 Dl.O(d1) = 258969897 Dl.O(d2) = 35042013,30195892,22805100,22805099,20074084,20071308,20071307,26955443,35035367,44409897,39857469,31174896,23686152,18086767,255610021,32091798,40862825,50996697,258321599,89310463,103399754,103399756,103399757,117524259,117524257,117524258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6830698, s2 = 15291268, dlinesl.size( ) = 2 s1 = 6830698, s2 = 15291268, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6830698, Dl.E( ) = 122, 4.7e-05 seconds used appending s1 = 6881131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6881131, s2 = 8153710, int(edited[s2]) = 0 s1 = 6881131, s2 = 8153710, d1 = 5, d2 = 6 Dl.O(d1) = 24899311,32548690,32548744,256603463,28177357,28177356,36653058,46520060,50893197,62493113,63533813,63533808,257519388,51650654,50893507,40777271,40777270,41406858,32605955,32605956,41484796,51754983,256606923,255634349,13090093,8920278,8920277,13090090,18428793,24942463,32606152,36459083,28000456,28000457,36459086,46311851,53200589,53200590,61939789,59634061,49368306,39439488,39439489,49368307,57656298,53700294,256561764,57656276,50448451,255922898,24215161,31722321,40414144,50448455,50576589,40540177,31841932,24322366,24322367,31841934,40540180,50576593,47260178,40777282,32021000,24459569,24459568,268701769,59634065,59634064,51647701,51647700,43188471,34102764,268006736,13974514,9596660,9596659,13974512,19521791,26239187,34102746,43188445,256561770,257693984,83871949,70346729,57656287,51754907,51754905,63533684,53700312,43188462,43188461,53700310,63390390,63390391,53700321,53700322,46311818,46311817,57656283,48247241,38336932,256949385,48247250,59634070,51755359,51755358,63534044,53700296,53700297,62493355,62493354,62068965,62068964,50576582,50576581,43188466,43188468,53700320,63534051,63534050,63534121,63534120,70576229,84112353,85963070,99920727,90472225,84112356,70576231,70576230,77898117,64709555,64709554,77898116,91819343,106014186,120216140,120216145,107958360,93520749,93520751,95139478,81081629,67614783,258528007,95139481,107958341,93520737,79383845,79383844,93520735,107958337,118816373,132635103,145854913,272233192,114719431,114719432,128616273,136368068,259436740,107958346,93520745,79383848,79383849,93520746,107958355,122384442,118051227,118051226,118051219,260653640,260009219,99969027,113992548,127870801,131875382,127870802,113992550,103909657,270467393,63049100,63049099,76031938,89808644,260212609,127188915,127188914,260339870,259597089,89808641,76031936,63049101,63049102,76031940,76031949,63049109,63049108,59677798,48290878,48290879,59677799,51368073,51368072,41181976,41181975,41181991,32366030,24749239,255227767,8829137,8829136,255227765,24749234,32366020,41181980,51368085,63049111,76031951,89808656,87997132,74393215,74393213,63049115,53106749,42655093,42655092,48291034,38380365,29808420,22441842,22441843,28256406,28256405,36751466,28691164,21440371,15445018,10678289,10678287,15445011,21440355,16273654,16273652,22441862,17166950,12070710,12070709,17166945,23440539,29808459,22441875,22441874,29808458,33408656,33408662,33408661,38380215,29808316,29808315,29808464,25546354,25546353,33307918,30868864,30868866,39472297,38380858,38380479,29808517,29808516,38380476,48291160,38380469,38380435,38380436,38380488,29808524,29808522,22442239,22442240,22442179,22442180,29808849,29808853,29808854,38380919,47113055,37216016,28691132,23440592,17166967,12070719,8117076,5200210,5200211,8117080,12070728,17166986,23440619,30868909,38380407,37216049,28691156,28691155,255832644,58491106,258983645,72568704,60801461,49400823,269313034,17166972,17166973,23440527,30868767,39472173,31924490,31924491,40640237,37216026,28691138,22607037,22607036,256420965,48446828,59833244,72568706,86009906,72413361,59678088,59678087,60801493,257033492,39472332,49400862,60801496,72414042,67790768 Dl.O(d2) = 25434276,25434151,25434152,25055592,25055593,25434321,18839273,18839272,25434319,33177864,32746723,25055605,255241067,8967983,8967984,13157165,18517882,13422482,9177141,9177142,13422485,18839287,25055582,32746698,41657184,256126539,268492051,40776884,256070288,25434209,18839175,18839174,25434207,33177756,42135505,33177776,33177777,42135433,33177890,33177891,33177877,268745545,42135517,33177816,25434259,25434258,32746642,25055552,25055551,18517884,18517885,25055574,32746684,41657165,32746716,32746717,41657166,32746701,25055584,18517891,13157153,13157154,18517893,25055588,25434309,256642033,255662863,9177150,6006517,6006518,9177151,13422495,18839303,25434361,33177927,42135642,52492477,42135589,33177875,33177876,33177886,29602561,22252949,22252948,25434205,33177754,257197119,52492480,256933294,41657187,41657188,51965024,51965058,51965056,59472991,48082363,48082364,59472964,72210702,63780615,63780616,76890920,90770170,90770175,76890930,63780622,51964932,51964933,63780624,76890932,87004173,75404094,72210651,59472922,59472921,72210649,85804910,75404096,75404095,70576034,70576038,76613956,63534081,51755397,51755396,62485932,50886606,50886605,51964969,51964970,62485933,59329562,47937831,38024106,38024107,47937832,59329564,63269405,51551685,41329598,32482445,24840898,18345673,13023640,13023639,18345671,24840893,268701528,32482280,32482278,41329595,51551684,63269404,71066988,258047376,46981229,55691458,55691457,55691431,44784140,35360385,35360386,44784142,44784116,44784115,55691402,68089265,73098336,68089281,55691432,55691433,68089297,59499816,59499815,72235267,84630390,71067045,71067046,269474994,60072791,60072790,72810030,60072754,48676645,38755151,30172383,22783712,255634370,29633572,29633571,22281370,255236232,17132751,12040231,8094375,8094374,12040229,17132747,23406825,268017724,25648523,25648522,25915381,19253229,254434690,33722229,42751569,255634348,40942777,32163825,32163824,40942767,40942768,39439815,33722233,25915385,25915384,30452516,38211197,38211196,257519389,39041879,30452529,30452528,23044293,16798617,16798616,23044290,30452535,256603462,39041876,39041877,31875647,24350986,24350987,31875649,30452323,23044072,23044073,30452325,39041753,40579974,39041823,256093744,40942769,256457315,23044311,16798628,16798629,23044313,30452434,30452433,33722237,33722236,33722277,255956929,23044119,16798522,258189465,257300492,33486032,27917990,20770783,20431360,14661934,10084437,10084439,10064020,6611552,4182679,2501000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6881131, s2 = 8153710, dlinesl.size( ) = 2 s1 = 6881131, s2 = 8153710, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6881131, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 9370476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6669556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1367939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8563860, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14164911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164911, s2 = 9549125, int(edited[s2]) = 0 s1 = 14164911, s2 = 9549125, d1 = 21, d2 = 44 Dl.O(d1) = 156222759 Dl.O(d2) = 223662731,221151943,218219156,214727620,210484790,205291988,199017619,191597622,260711582,161930082,149633725,136368860,122385245,107959200,93521632,79384752,66016447,256009456,59474211,72211826,71070893,58354580,46984878,37100699,28593456,21361337,15382927,15382926,21342662,21342661,24793909,24760942,24522945,21965885,18606157,18606158,24812308,25966300,19300276,13799597,13799595,19300273,20107413,14417719,9916178,254442004,12724223,8646001,5623356,3493698,2075625,1192618,1192617,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083184,6516652,6516650,9916039,7284907,7284908,11004658,15875752,18767558,13917042,9552036,9552037,13917044,19447944,24467373,21359473,15381554,14417569,14417570,18768549,25350279,29295651,24467363,18773334,17956223,17956224,24348081,18781615,13376733,9142909,9142911,6516314,6516315,7284922,4594088,2763839,1602105,1602103,2763832,4594074,7284894,11004643,10822749,10822748,15639774,12724109,8645920,8645919,9124551,5970789,3733942,3733941,2235612,2235616,3733984,5970870,9124678,13352575,10642523,10642524,15398330,21380700,21406554,15418738,15418739,21406556,24760941,24760940,32380876,41200902,51393344,257025158,89885391,104010242,118165738,131982320,145215761,261250722,179341578,188381859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164911, s2 = 9549125, dlinesl.size( ) = 18 s1 = 6529715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8265845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2339741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8097771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8097771, s2 = 14484612, int(edited[s2]) = 0 s1 = 8097771, s2 = 14484612, d1 = 62, d2 = 48 Dl.O(d1) = 32421300,32421301,26164409,26164408,34006228,41247975,32421288,24795119,268471385,269045647 Dl.O(d2) = 1334896,1358874,1350026,1350025,2300556,2354175,254459463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8097771, s2 = 14484612, dlinesl.size( ) = 46 s1 = 2676843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9022041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655998, s2 = 15294785, int(edited[s2]) = 0 s1 = 11655998, s2 = 15294785, d1 = 6, d2 = 5 Dl.O(d1) = 17940023,12711995,12711997,17940026,24328218,29716462,28490756,21274278,21274276,19534141,16661020,16661021,255947281,38873852,257572185,72932295,86530799,100489530,100489529,114513483,128387691,141733090,154380237,166125052,176758029,186166069,186166070,176758030,166125054,154380238,141733091,141733092,262280017,176758034,186166075,194365377,194365376,201388119,207297540,212170338,216150301,216150300,216150299,219447662,274411506,215752414,264491213,206754687,200761047,193657211,185367983,273356966,140653469,127307349,113448419,113448420,271821219,86481302,258177265,256987883,30251912,22857011,16631179,11601013,7722611,7722610,11601012,16631178,22554650,29911681,22857017,22857018,30251924,38835737,48755763,60149946,257820388,58691137,47300523,47300522,47300521,37391346,31328242,31328243,32120652,32120651,40894733,40919330,32142213,32142212,26400709,19666715,14097448,254678043,6376943,8732028,12840667,11558257,7691637,7691638,11558261,15555910,15555909,21579335,28851298,37391369,37814244,47736475,257642135,74191791,87795281,101767580,115813305,115813306,129711955,122896443,108632144,94344916,80288710,66859299,54601108,43857923,34587282,255725823,14184372,14184373,19802477,26610325,23750155,17424591,12281419,12281420,17424592,23750157,23811954,22045109,22045098,15942177,11062686,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,15946559,22049809,23318741,22823664,22823663,30215840,32465464,254965906,76265975,268813766,132185527,145415198,154803662,142169561,128814845,114917677,114917676,100867255,86887124,73275681,268904100,39204161,39204160,30608275,23189026,16922370,11843088,7914745,5031386,5031385,7914743,11843086,16922366,13729994,13729995,19220780,25879829,19220672,19220673,19464864,13930140,13930141,19464870,19899149,19464883,13930149,9561382,9561384,13930154,11742957,7840229,7840227,11742984,16794748,12160448,12160451,12564430,12564431,17335835,13318875,13318876,15595561,10788680,7128055,7128054,10788678,7534733,7534732,11338289,16296088,18705306,15410640,10652122,10652123,15410643,15631345,15631346,21667430,22730157,16524892,16362081,16362080,22536213,20821527,14923744,10262203,6743534,4226543,2527167,1456463,824638,824639,1456465,1456372,1456376,2526981,4226195,6743781,6743784,10262622,14924370,16295973,11338205,9083948,6533346,6533345,9940315,6533368,6533373,9940379,14216604,19843903,14609339,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,6753025,4359880,4359882,6938083,10520522,14609400,10052644,6605492,6605493,10052645,14609401,10276051,10276050,14941062,15050664,13470977,9212658,9212659,13470984,10378057,6838409,4290662,2565239,1477155,835192,835190,1477146,2565217,4290301,6837768,6743496,6743495,10262127,14923653,20821419,21622084,21622083 Dl.O(d2) = 47345254,58733060,71462787,83970459,70443087,257018902,46397140,46397139,36619557,36619556,46486036,57842162,64995237,53019981,53019982,64995239,78268810,260005728,59648077,48260850,38349932,29777760,255910320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655998, s2 = 15294785, dlinesl.size( ) = 2 s1 = 11655998, s2 = 15294785, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11655998, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 10156895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3149845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3149845, s2 = 10582656, int(edited[s2]) = 0 s1 = 3149845, s2 = 10582656, d1 = 7, d2 = 7 Dl.O(d1) = 99377438,85908954,72315585,59581007,59581006,72315583,76269036,63250179,51533824,257107202,32468141,256599861,256051144,18335934,18335933,24297127,31812406,40508222,50543854,62035620,74832110,70481293,70481294,84015242,97884088,102468735,102468734,102468739,88465290,74832102,62035615,50543851,257688577,74832100,88465285,102468734,102468733,102468732,116567448,130406970,116567489,270920746,74832122,74832123,88465319,102468779,116567491,130406975,130406974,116567479,102468763,102468740,88465290,74832102,62035624,50543856,40508223,40508222,50543854,62035620,74832110,70481293,70481294,84015242,97884088,102468735,102468734,102468733,88465282,88465283,84402646,70845252,58130850,58130851,70845253,84402648,84402644,70845251,58130850,58130851,70845253,84402648,84402644,84402643,98312334,260502245,112294995,259545354,74832111,74832112,88465300,102468755,102468737,102468736,112294995,98312333,98312334,102468756,102468757,102468737,102468738,116567449,116567468,102468752,88465298,259545361,116567468,102468752,260159653,111816414,125630641,138968791,151673596,163554681,174397760,184053222,192510015,199788254,205941809,211030125,206557705,200522657,193374739,193374740,200522658,200522659,200522660,193374742,185045255,175506382,272841137,126885921,113032764,99044228,85119280,71548272,58819980,47433397,37525727,37525728,47433400,58819986,71548279,85119288,99044237,113032772,113032773,113032776,113032765,99044228,85119280,71548272,58819980,47433397,37525727,28981847,21699546,15659634,10840603,254744422,11249845,10508437,10508438,11249648,7467673,7467672,11249646,267891261,4719335,7467784,7467785,255088049,11249826,11249825,10840518,10508399,10508398,11249560,7467617,7467616,4719306,4719305,4719277,4719278,6172581,9420570,11249687,267891259,4719236,7467698,11249688,13566282,19008307,25622812,22330329,22330330,29681765,28981739,21699452,16915597,16915598,23180576,30599279,39195959,30599336,30599337,39195998,49123591 Dl.O(d2) = 99377438,85908954,72315585,59581007,59581006,72315583,76269036,63250179,51533824,257107202,32468141,256599861,256051144,18335934,18335933,24297127,31812406,40508222,50543854,62035620,74832110,70481293,70481294,84015242,97884088,102468735,102468734,102468739,88465290,74832102,62035615,50543851,257688577,74832100,88465285,102468734,102468733,102468732,116567448,130406970,116567489,270920746,74832122,74832123,88465319,102468779,116567491,130406975,130406974,116567479,102468763,102468740,88465290,74832102,62035624,50543856,40508223,40508222,50543854,62035620,74832110,70481293,70481294,84015242,97884088,102468735,102468734,102468733,88465282,88465283,84402646,70845252,58130850,58130851,70845253,84402648,84402644,70845251,58130850,58130851,70845253,84402648,84402644,84402643,98312334,260502245,112294995,259545354,74832111,74832112,88465300,102468755,102468737,102468736,112294995,98312333,98312334,102468756,102468757,102468737,102468738,116567449,116567468,102468752,88465298,259545361,116567468,102468752,260159653,111816414,125630641,138968791,151673596,163554681,174397760,184053222,192510015,199788254,205941809,211030125,206557705,200522657,193374739,193374740,200522658,200522659,200522660,193374742,185045255,175506382,272841137,126885921,113032764,99044228,85119280,71548272,58819980,47433397,37525727,37525728,47433400,58819986,71548279,85119288,99044237,113032772,113032773,113032776,113032765,99044228,85119280,71548272,58819980,47433397,37525727,28981847,21699546,15659634,10840603,254744422,11249845,10508437,10508438,11249648,7467673,7467672,11249646,267891261,4719335,7467784,7467785,255088049,11249826,11249825,10840518,10508399,10508398,11249560,7467617,7467616,4719306,4719305,4719277,4719278,6172581,9420570,11249687,267891259,4719236,7467698,11249688,13566282,19008307,25622812,22330329,22330330,29681765,28981739,21699452,16915597,16915598,23180576,30599279,39195959,30599336,30599337,39195998,49123591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3149845, s2 = 10582656, dlinesl.size( ) = 2 s1 = 3149845, s2 = 10582656, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3149845, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 9022181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10335655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9083981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2341897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1200402, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2678978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2678978, s2 = 14070089, int(edited[s2]) = 0 s1 = 2678978, s2 = 14070089, d1 = 13, d2 = 11 Dl.O(d1) = 76355629,63324395,63324394,270141629,35256344,28564223 Dl.O(d2) = 254695304,7004821,4402982,2639035,2639034,4402976,5977560,5977557,9134486,11002918,10636569,10636572,11005272,15876366,14205306,14205305,10627107,7014281,7014282,10627099,14207322,255744645,35082811,259101303,257854447,43210741,256181063,26257978,34123384,34123367,34123341,256700467,43210807,256181071,13990741,9611203,6312939,6312938,267940491,6312865,6312936,3956684,2369507,2369478,1371666,780795,780794,1371664,2369472,3956642,267860950,1403556,254082628,255216,255218,254082632,1403580,2426359,4053915,6469588,9164923,8519640,8519641,9164922,9196319,9164903,9164902,8992634,5871108,5871111,6020636,6020635,8986505,5866916,5866915,8986502,13183060,14337784,254076218,4410203,4410202,4053745,2426240,2426241,2407388,1392978,1392979,2407392,4017445,2442487,1412347,1412345,2442483,2256647,1398852,796215,796216,1398856,2416393,4032075,6426784,9774379,14217602,14414662,9913706,6515042,4217214,2521401,1453019,1453016,2442496,4082183,6515088,5385233,5385232,6020645,3766421,3766420,6020641,9196177,6023153,6023152,8986149,6415607,4025039,2412079,2412081,4025041,6415612,9757152,6730372,6730373,8990501,8986367,8986368,13181288,8984972,8984971,13181287,254093118,9774584,13451187,9713227,6390321,4010493,4010492,6390296,4010484,4010482,5866044,5869114,5871916,5871914,8985323,5866038,5866036,3662405,2191427,2191428,3662411,5865785,3662111,3662109,5865780,3662595,2191528,2191529,3662600,5866530,254073022,18552911,25101433,18575207,13200123,254095712,5874822,5875768,5875769,5875313,5875315,8999221,9105398,9105399,13199533,18574468,13200883,8999265,5875338,5875337,8999262,9105393,5957927,5874445,254315812,5875372,5875375,8999318,8993277,6403100,4017382,4017383,3668801,2196089,1275808,1275807,2196086,3668797,5875854,9000081,13202062,18552653,13199077,8998548,8998547,8998488,5874792,5874791,5874362,5874361,8997777,13199066,8997723,8997724,13199069,8997823,5874387,5874391,8997832,13199204,18574158,13200178,9105381,9105380,13326298,13192354,13192353,18564778,18720551,25127795,18575198,18558956,254437558,8999241,8999240,13200866,13200906,18559084,13187899,13187901,18559088,25108278,18575215,13200140,254294754,18861346,13438340,9187604,6013206,3760720,2252804,1307414,254095828,3760717,6013204,9187630,9850219,254152084,13199233,13199236,18574193,25126710,25461724,25127813,24709120,18861518,13438468,13199217,13199216,18574174,19135482,19135481,25130252,18871931,13448017,13448018,18871911,254269810,31690448,254299026,254649242,268296258,25425687,33168366,257196611,259028641,260272893,133773387,133773382,133773383,261972543,159402195,170749652,170749660,170749655,159402202,159402194,147021433,261972545,159402209,262931749,170749648,159402193,159402189,147021430,133773385,133773384,147021429,159402188,159402200,147021440,133773397,260868892,259655856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2678978, s2 = 14070089, dlinesl.size( ) = 2 s1 = 2678978, s2 = 14070089, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2678978, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 8111406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8214698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6858158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14850431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8418891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656544, s2 = 14880066, int(edited[s2]) = 0 s1 = 11656544, s2 = 14880066, d1 = 11, d2 = 5 Dl.O(d1) = 1281685,1737227,2992380,4956719,7813904,11712107,12953450,8814116,8814118,12953456,18256765,18256764,24729606,32345204,38978192,30391240,30391236,30391237,255219406,18132710,12857612,12857611,18132709,256069387,40937209,51079054,62709299,75654277,89415799,89415800,258327738,114633583,128523071,141879095,128523073,128523072,259579648,270877910,85680944,72094262,59360723,47969704,47969703,43953597,43953599,43953604,43953602,43953603,50900137,50900142,50900136,50900135,62500466,62500462,50900130,40783415,40783416,50900131,62500465,61632235,50149611,50149609,40128046,31448259,31448258,31448261,23955759,17608781,12429363,8400574,5420925,3332439,3332440,5420928,254855619,17608805,23955784,31448294,268399398,255729810,54624796,59677073,48290137,48290136,46214417,36384032,36384034,38379439,38208666,38208665,48119086,59506640,71393624,71393625,59977459,59977458,71393622,71393623,62854078,51204879,51204878,58658663,47266956,37357032,28817454,21548398,15530333,10740945,10740946,15530336,21548404,28817466,37357052,37356984,28817416,28817415,37356982,47266892,58658607,62854098,58658542,47266823,47266824,41048583,41048584,41048611,32255205,32255206,41048603,32255200,24655567,18197308,12907181,12907180,18197306,24655560,18197304,12907179,12907178,254146670,25415651,254112810,42111076,52463698,64331443,73170483,254919478,90468763,76610354,255992970,53238222,53238224,65226961,78516366,92563102,78872561,65537177,53512887,43034759,43034760,46308315,36455440,36455441,46308318,37610164,29060951,29060950,37610163,47515054,58894768,58894769,53512889,43034763,43034764,53512892,65537180,61225836,49746363,39727077,31048131,23563929,23563928,31048129,33628012,25826030,254581144,37911287,267993912,17252871,12133402,8163704,8163703,255157373,23563874 Dl.O(d2) = 39726998,49746299,49746300,48335422,38430730,32193289,24605021,18156617,18156616,24605016,32193283,40973292,51115493,62746709,75694054,85838620,85838615,72246762,258752381,83879255,97738018,111658781,118406888,104247763,258982035,63277931,63277932,76299721,90114322,95140977,81083415,67617669,55279702,44435580,35061600,26978454,26978455,35061601,257308561,55279708,67617680,81083428,81083429,259157359,87088711,73470890,73470889,67617676,55279706,55279705,55279719,55279716,44435588,44435587,55279714,67617691,60511814,60511813,73258044,86870576,81083450,81083451,95141015,260397895,109395163,95141004,81083437,81083439,81083426,81083427,86699910,100673125,259785023,81083474,81083476,81083473,81083472,95141035,87088727,73470912,73470892,73470893,60722592,60722591,67617718,55279732,44435599,35061609,26978459,20090037,20090036,26978458,35061607,271080284,44435591,44435592,55279721,258528205,60722575,49320257,39392163,39392164,39392171,30789661,30789660,39392168,49320268,60722595,73470918,87088734,95141033,109395182,109395185,95141038,86699913,73096487,60358316,48963162,39041890,30452526,30452527,39041892,48963166,55279724,67617706,81083459,67617702,67617701,81083458,259463165,73470897,73470898,61943138,61943137,258913689,87088712,86699918,86699917,73470916,73470917,87088732,101085362,260079869,101085356,115161985,109395175,95141025,81083465,67617707,67617708,81083467,86699915,86699916,100673131,101085343,87088720,73470904,73470905,87088722,101085347,115161982,260663998,129092731,129092725,115161992,259463177,73470923,73470922,71817284,59075837,59075838,71817286,85405998,99349319,99349241,99349240,113351027,123587026,259785019,91231019,77311810,77311809,91231017,85405990,85405991,99349313,86699907,73096482,60358312,60358311,73096479,73513347,87132090,85405999,84582394,258658792,112502979,99349269,85405954,85405955,260329780,259904848,85405981,85405982,99349301,259083796,59075833,47675345,37752849,29191383,21879622,21879621,29191382,37752848,47675342,59075824,71817265,85405961,85405929,71817246,59075812,47675332,37752842,37752843,47675335,59075817,71817254,85405947,99349264,99349247,85405931,85405930,99349245,99349285,113351058,126209826,115998436,269774146,87981062,101954006,99349252,85405935,85405934,85405945,85405942,84457795,84457796,98319269,84409381,84409382,98319270,100430292,100430293,101130259,87132108,73513375,73513376,87132109,101130276,256841722,86473092,72877507,258030138,100430286,104846851,91543522,77614587,64446611,64446612,77614589,91543524,258030126,62745118,51113662,51113663,47682519,47682518,59082378,71823332,85411639,99354668,86431889,72837454,72837455,73513324,73513323,87132068,87132065,73513322,60764191,49360910,39431307,39431306,49360908,39431350,30827140,30827141,39431352,39431320,255982939,17127348,17127347,23399392,30827121,39431313,49360920,49360970,39431349,30827139,255534997,17127353,23399402,30827143,39431356,49360982,49360917,49360918,60764200,60764208,64347017,77512670,64347015,257606776,41100179,257139705,60764247,60764261,257773585,52297605,49360956,39431337,39431338,49360958,52476792,42121699,33165404,25422954,18830080,18830079,25422952,33165400,39431321,39431322,268419080,23003375,23003374,30408184,38997163,48920983,60319640,73060850,77606993,64437952,52562748,42202727,42202728,47412671,47412666,37505118,37505119,47412669,58799546,258702367,64347013,64347014,65551359,77606989,77606987,64437961,58799568,258078529,58799566,48273564,47412673,47412672,58799548,51496274,41281875,32442615,32442614,41281873,51496271,63206466,53526495,53526494,63206467,76217467,72567088,72567087,77512667,64347008,64347009,58799558,47412678,47412679,58799560,64437983,64437979,257793015,42202726,33241691,33241690,37505125,28961900,21679818,21679816,28961896,37505117,47412663,48445300,41281882,32442620,32442619,29970745,29970746,38536707,48445257,59831567,59831607,48445291,38536729,38536728,42202737,52562758,64437964,63206476,51496286,41281885,41281884,51496285,52562765,256618884,40054134,50074019,256104420,76217474,63206472,51496277,51496276,63206470,65063880,53081103,42633030,42633029,53081099,52562760,47412636,256963483,29970759,22605758,16422788,11438923,7606345,7606347,11438927,16422791,22605763,29970765,38536716,38536715,48273559,48273560,40456931,31762491,24250632,24250631,31762489,40456927,47412610,37505086,37505087,47412612,38440909,29882979,22527655,268205286,38440911,48344253,59728648,52786805,257046660,36807322,28310485,21100452,15156675,10452780,10452779,15156673,21100450,28310482,31715949,40408118,50442205,61932938,74726683,88354900,77607028,64437995,52562801,52562803,61984752,50492834,40456957,31762508,24250642,17873307,12657013,8593205,5583430,3464138,2054410,2054411,3464146,4703996,4703997,7445002,11218827,11218828,9738736,6404009,6404006,9738727,7445224,4704097,2833831,2833830,4704090,7445210,11220869,16151187,22296378,23400162,21745737,21745736,21745950,15694390,15694392,21745954,29038155,37585730,37585731,40456767,37585506,29037894,29037893,29641204,22289604,16145591,16145589,22289600,25942084,29325529,37893608,33748910,33748911,42779970,33748806,25941081,19277889,13780582,13780584,11020638,7296211,4601688,4601686,7296206,10003744,10003743,14539774,15897147,21995731,15897213,15897214,21598149,15570462,13780706,9448436,6194421,3877074,2321935,1346270,768292,768291,1346268,2321931,3877066,6194404,9448403,13780644,18498590,18498591,23204797,23204798,30627429,29887710,255097278,27027742,27027741,23804696,17471449,12317704,12317706,17471452,22448049,27110692,35200509,257320259,67765489,81231394,95289189,109543943,123735679,259774038,109855576,123994348,109855571,95652346,95652347,109855573,123994353,123994350,123994351,137675673,261544024,173766325,173766326,183535137,192077765,193177881,184828333,175265560,164489150,152637758,139930980,260529459,98707095,84779189,71210586,259308801,258057685,47111396,37214579,28689889,28689888,29712173,256945045,37960890,29396403,22066022,15961310,15961311,15964280,11080215,7347224,7344620,4638981,2794164,2794165,4636196,7339824,4640495,4640496,7347219,11080209,11079478,11066033,7348689,4641452,4641454,7348692,11082387,11072313,7341765,4637299,2793277,2793275,4637296,7341757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656544, s2 = 14880066, dlinesl.size( ) = 2 s1 = 11656544, s2 = 14880066, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11656544, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 6816899, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10193648, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7997371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2994201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2682801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 265338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 265338, s2 = 14991536, int(edited[s2]) = 0 s1 = 265338, s2 = 14991536, d1 = 21, d2 = 27 Dl.O(d1) = 6537217,4095768,3645018,2178855,2178857,3645027,5840992,5669973,5669977,8709724,12809741,18068207,24493130,257164803 Dl.O(d2) = 179973418,262364998,176661920,261859504,166020863,154268350,141612649,141612651,154268352,261317364,261859512,166020891,166020893,261859514,186078089,194285608,262835158,194285597,201315473,194285614,186078105,176661934,166020898,154268382,154268381,166020896,176661932,176661941,176661940,176661911,176661902,166020867,154268353,154268354,154268376,260746486,154268352,261317364,261859512,166020891,154268379,154268378,166020890,176661922,186078097,186078061,176661892,261317362,166020857,166020888,166020859,166020860,176661898,186078069,194285600,186078072,186078071,194285602,194285615,262835162,186078079,186078078,176661912,272274368,154268355,260746488,261859510,262364994,261859506,166020863,154268350,260746484,154268358,154268344,141612646,141612645,154268343,260149116,141612657,154268360,166020868,154268353,154268354,141612667,128262328,128262329,141612669,260746492,176661926,262365002,176661921,166020889,166020890,176661922,186078097,186078061,176661892,260746482,141612665,128262327,128262326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 265338, s2 = 14991536, dlinesl.size( ) = 2 s1 = 265338, s2 = 14991536, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 265338, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 9463508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14847592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14847592, s2 = 14088956, int(edited[s2]) = 0 s1 = 14847592, s2 = 14088956, d1 = 2, d2 = 1 Dl.O(d1) = 1902919,254180485,600512,334524,334522,600507,601369,1070126,1875873,3203525,3211537,5255242,3213883,3213884,5258039,3261396,1916439,1094543,614461,614462,1094548,1916447,3261408,5311525,5268107,5268108,8165123,5274530,3228757,254393585,3231685,5277892,5321163,3269992,2772833,1880210,1072654,602688,254132581,1880204,3208277,4625625,7324672,11049392,12594480,12599721,8550485,8550483,12599719,254870043,8537528,8537527,254868155,5517687,3404357,268997238,17756688,24117773,21231830,15262179,10538341,6949850,4367105,4367108,4366844,2616546,1510839,1510840,2616547,4366847,4366952,2622236,254331755,1513541,1513546,2621173,4375975,6936038,10517552,10540042,6951068,4367800,2617050,1511097,1511096,2617047,4367796,6951062,10540029,15273372,21240984,18971533,18971532,17001403,11914790,11914791,10544835,10537330,10537328,6964448,6959450,5403481,5403482,4375475,2620908,1512926,857724,484246,484245,857718,1512918,2620892,4375451,6964458,10559426,11914394,268442140,16178290,11245038,11245037,255267265,13507620,15258060,20144815,255266575,9238193,9238194,10557919,6963425,4374861,4374862,6963430,7961140,5064205,3068536,1788842,1019978,574737,321698,321697,574735,1019975,1788838,1487820,1487824,1792467,1022367,1014977,572114,320448,177302,97685,97688,177311,320465,572146,1015031,1014580,1014581,1779451,1031538,581308,579790,579789,1028976,1802485,2713608,1801041,1027898,1027899,580072,580071,1029464,1014564,571889,571888,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,254228565,1790510,254175463,574993,321829,177930,97971,97970,177926,321822,574975,254175459,3059179,1783308,1783309,1017014,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,179089,179087,323164,178581,178583,322872,577067,577356,1024590,1791031,1791030,1021473,1017078,573271,573269,1017072,1783400,3059276,3072981,1792365,1022290,1022288,1792363,3072977,4515742,4515743,3056363,1781280,1015783,1015784,1781283,3056365,5041166,4517388,4517389,5045412,3055884,1780934,1780933,1803662,2714982,1573117,894458,894457,1573114,254253767,1023705,577337,323019,323020,577339,1018602,1018603,1785802,1018318,576761,576760,1023578,1794179,3075310,5072149,7950534,7950533,11890742,7950917,5056870,5056871,5089278,5089277,5087259,5087260,7971339,7971340,11876000,7939046,5048991,3058936,3058935,5048989,7939045,7971317,10024415,6588405,5087553,254565145,11941752,8102365,5191307,3167671,3167667,5191293,8102351,10850615,10850616,15673769,18141834,12864741,8749001,5696275,5696266,4302191,3544250,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476527,15476526,21479275,23630429,17314637,17314638,17314649,17314648,23630453,31116890,29000357,29000356,31117645,23631065,17315105,17315106,23631070,31117654,29274550,21951067,15860582,15860583,21951071,21737275,15687989,10860305,10860301,15687985,15687828,10860221,7180047,7180046,10860220,15687826,255858245,30050952,30050953,36646641,46514199,37593928,37593927,39797384,37841505,37574125,35048510,26967588,20082495,20082494,25118836,26967207,26967208,35047778,37593780,37593782,42112345,33157897,25416971,25416968,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560140,257472701,37576693,29029483,21738717,15688980,11639405,11639406,8586251,8586252,12645882,16675543,16675544,16674976,11639309,11639307,16674972,22906718,21732846,15684838,10858227,7178615,7178614,7178583,7178585,10858181,15684767,21732736,21732528,21732529,256351223,37555955,29009779,29009780,37555960,29025981,21735938,21735939,29025984,29025945,29025943,22415623,21731868,21731869,29020795,29036715,29036714,28210898,28210899,29035939,29045871,37593538,37571356,36813999,36814000,37568036,37560877,29014394,21726678,15680606,15680605,16368315,11391115,11391113,12648442,17860419,17856865 Dl.O(d2) = 10861489,10861485,7183012,7183011,10862900,7182126,4524576,4524577,7176707,10855191,10868187,15699628,21738408,21712769,15670229,15670230,10859707,10859708,10852116,7185516,4526839,2721166,1576808,1576806,2721160,4525597,2720409,1576396,896237,254161807,2719227,1575602,1575603,2719229,4523961,2719525,2719526,4523907,4525487,2720357,2720356,2717443,2717442,254745789,10852887,267967299,7175339,255051093,10854023,7175984,4520393,2717045,2717046,4520397,7175987,7182821,10863900,15690191,10861839,7181343,7181341,10859625,7179630,7179629,254745779,4521020,4521019,7176951,7785027,4935126,2977653,2977652,4935122,7784017,7784018,7930589,11866006,16715305,22952146,30353964,30370003,23007818,19008162,268028041,4341559,2599386,1499637,1499636,2599381,3823687,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,7477156,4725545,4725547,7477165,9288140,6084503,6084504,9288144,13565819,13630723,19092254,19092260,19092259,15241129,10514093,6933406,6933407,10514098,13670064,9361135,9361134,13670062,19144922,19103441,19103442,22353843,22353844,25699019,19073361,13616734,13616732,269127550,256150151,19113646,19073019,254933669,6107390,6107391,9318782,255275485,268029865,7632158,4828589,2909738,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,25135413,32840509,31486652,23989530,17644353,17644354,19094738,20285249,16264574,11308196,11308197,16264579,13562436,9285685,6082870,3806181,2279948,2279949,3806183,6082875,9285693,13562448,255676057,25698380,19072665,13616178,13616177,19003418,13562424,9285678,9285679,13562426,14555354,14555356,20285361,25134469,21276550,15314702,15314701,21276549,28493494,31755385,38593045,268624928,19079828,19079827,25706626,23056777,16809953,16809952,17780372,12583548,8536158,5534135,5534134,5534125,5534124,6917345,10490397,12652340,12583520,12583521,17780335,24146728,22434261,16266457,11309501,7508543,7508544,11309505,12471165,255575867,24261521,31773674,34117380,43204500,49992919,39976794,39976793,49992917,48926746,48926745,49430275,39499121,30891930,30891909,23459155,23459153,23201044,23201045,24261540,28071733,24261664,24261668,31687875,31687874,40381734,46942820,37063788,37063789,39924536,42045667,42045665,48530607,38615126,30041245,22666019,16470956,11476135,7633043,7633044,11476136,16470957,14577407,10030894,6592422,4130118,4130117,6592415,10030880,12569392,12569391,17762886,23905235,17561307,17561308,254734002,15445524,254334784,28691747,30674256,39270547,30674255,23258160,17829401,12624598,12624599,17829403,24198613,31706122,40397971,31706071,24198578,17829381,12624589,268118685,24198584,17829382,17829383,24198587,31706082,31706103,24198600,17829393,12624595,12624597,17829399,24198609,31706096,24198596,24198595,24198571,17829376,17829377,24198574,31706063,40397956,257680073,40398019,50405555,40370108,40370110,50405557,61896158,74397677,61618988,50431336,40397993,40397994,50431287,40397953,31706060,31706061,40370113,50405561,61896166,74689846,88317389,259729270,102312898,260746047,102312887,88317383,88317382,102312885,102338586,88342282,88342281,102338584,102338551,88342251,76811277,76811273,63709901,63709900,51903177,268731211,25017109,18487325,13134041,13134042,18487327,25017112,32700518,41603347,51903188,63709909,76811282,63709917,51903195,41603351,41603352,51903198,258058164,47085852,47085853,37190260,28668678,21422158,21422159,28668679,37190261,47085858,58464001,71186048,84754723,84754684,84754683,98681914,98715348,98715347,98715352,84787694,71218846,58497006,47118648,37221095,28695692,28695691,37221093,47118644,55390314,44543068,35165438,27077758,20181017,20181018,256226153,44543075,55390329,67730670,81196048,67730660,67730659,81196060,95252222,109506539,95252235,95252236,95252219,95252220,109506536,123698443,116405156,102312911,88317405,88317404,102312909,116405153,129538637,129538644,116405142,116405141,116405151,130241706,143569312,142857585,142857584,130241705,116405150,116405149,129538652,115652282,101611210,101611209,115652280,129538647,142857592,142857590,129538641,129538640,115652290,101611214,87644259,87644258,101611212,115652286,129538659,142857606,155440547,149543845,149543846,161848622,173013582,182911182,173013586,165539334,153759575,141089884,127736365,127736366,122301590,113863209,113863210,113863192,99845507,85890769,72298020,72298019,259381903,72298024,59563653,48177021,48177022,59563655,72298026,85890778,85890766,85890765,99845498,85890754,72298005,59563640,59563639,258133693,48177025,38267394,29701217,22347029,22347028,29701214,38267387,48177010,59563634,72297996,85890745,259999951,85890761,72298013,72298012,85890758,85890759,99845504,98715158,258680040,58496706,47118340,37220812,28695429,21443992,15447991,15447990,21443991,21444016,21444015,28695447,28695446,37220838,37220847,37220820,28695438,21444014,15448012,10680595,10680596,15448014,21444017,28695450,37220845,47118383,58496747,258682473,84787456,71218606,58496740,58496736,58464026,58464027,58496735,47118377,37220842,37220843,47118379,58496739,71218604,84787466,74563603,71218584,71218585,84787442,98715166,98715167,112710545,112710547,121988646,107616144,107616145,112710560,98715183,98233524,84326241,84326240,98233523,112211690,116229481,116229480,112211685,98233513,98233512,86618073,73018202,73018204,73018208,73018207,86618076,256558456,60281500,60281480,48888057,38968198,30382203,30382204,38968200,48888061,60281486,256558458,48888078,38968210,38968212,48888082,60281516,60281519,60281494,60281495,48888076,38968208,38968209,38968221,32297640,24686685,24686686,268713747,46986805,37277471,28744910,21486727,21486728,28744912,22850979,22850980,30245106,38236857,29671591,22320320,22320321,29671593,25461123,25461124,33208923,40852893,50987765,62610166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14847592, s2 = 14088956, dlinesl.size( ) = 2 s1 = 14847592, s2 = 14088956, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14847592, Dl.E( ) = 6, 7.15e-06 seconds used appending s1 = 13496357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9697192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9697192, s2 = 14946126, int(edited[s2]) = 0 s1 = 9697192, s2 = 14946126, d1 = 1, d2 = 1 Dl.O(d1) = 13745900,19239583,19239586,256159791,42735973,270555576,57732543,46382446,36522837,256813531,57732539,46382448,36522840,28057555,255363387,6786417,267821591,2543330,4254365,4281214,4281215,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,9057604,9057605,5932426,5932427,3709374,2221342,1288578,1288577,2221338,3709368,5932451,9071978,9325101,6108354,6108353,9325096,13289112,13320743,9100836,9100837,13320749,15061845,255371817,12338081,8335179,8335180,12338085,14972803,20874759,28042697,36506175,46364468,57713906,51955950,257169037,32739852,25049894,25049893,32739850,41649251,51955955,257757895,41649256,32739854,32739853,41649255,257757893,63770750,258999333,63770740,51955948,41649248,41649247,51955947,63770739,76879971,90758619,104938548,119134705,104938546,258999331,63770735,51955945,41649245,32739845,25049889,18513395,13153781,8965642,5852827,3653444,3653443,5852826,3653445,3653446,5852829,254637839,5852833,3653450,3653451,254637841,255240763,25049903,32739866,41649271,271081874,258372209,90758634,261408525,158578485,169944400,180120403,189071458,196822742,195442505,187415511,178190332,167735478,156132261,143597451,130269773,116432534,102339152,88342896,76031271,63048520,63048519,63048490,51367569,41181524,257145491,32365665,28907789,28907790,37446945,47353492,58741089,71470825,71784932,70807113,58090280,46718497,36835870,36835871,41181517,41181516,51367558,256298530,255381166,36835880,28339068,28339069,36835881,46718512,58084255,70537881,70537875,70537874,80283162,66853450,54594400,54594399,66853449,73425872,60677875,49276789,42126510,33170332,25427856,25427857,33170334,42126512,258401661,64351274,76929732,90805944,104983826,119178848,104983828,104983829,119178854,112535767,259784850,146248134,152499249,139780012,126405705,112535768,98541436,84616843,84616842,98541431,112535766,112535771,126405703,126405704,139780011,152499247,164365364,152499252,152499251,164365365,175156908,184733173,193095033,200271303,206332206,210728179,205576368,199347731,191985378,183426897,173636193,162610113,150485883,137450400,123722018,260012750,81216580,67750084,67750085,67750086,259167649,109529772,123722019,137450402,261719424,153195074,140512226,259376972,259376974,140512228,153195072,165014078,175746975,185259850,273710459,211634634,215689096,219042839,264506068,210484830,205292029,199017661,191597650,182964758,262718698,199017658,205292028,201191730,194150089,194150088 Dl.O(d2) = 13745900,19239583,19239586,256159791,42735973,270555576,57732543,46382446,36522837,256813531,57732539,46382448,36522840,28057555,255363387,6786417,267821591,2543330,4254365,4281214,4281215,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,9057604,9057605,5932426,5932427,3709374,2221342,1288578,1288577,2221338,3709368,5932451,9071978,9325101,6108354,6108353,9325096,13289112,13320743,9100836,9100837,13320749,15061845,255371817,12338081,8335179,8335180,12338085,14972803,20874759,28042697,36506175,46364468,57713906,51955950,257169037,32739852,25049894,25049893,32739850,41649251,51955955,257757895,41649256,32739854,32739853,41649255,257757893,63770750,258999333,63770740,51955948,41649248,41649247,51955947,63770739,76879971,90758619,104938548,119134705,104938546,258999331,63770735,51955945,41649245,32739845,25049889,18513395,13153781,8965642,5852827,3653444,3653443,5852826,3653445,3653446,5852829,254637839,5852833,3653450,3653451,254637841,255240763,25049903,32739866,41649271,271081874,258372209,90758634,261408525,158578485,169944400,180120403,189071458,196822742,195442505,187415511,178190332,167735478,156132261,143597451,130269773,116432534,102339152,88342896,76031271,63048520,63048519,63048490,51367569,41181524,257145491,32365665,28907789,28907790,37446945,47353492,58741089,71470825,71784932,70807113,58090280,46718497,36835870,36835871,41181517,41181516,51367558,256298530,255381166,36835880,28339068,28339069,36835881,46718512,58084255,70537881,70537875,70537874,80283162,66853450,54594400,54594399,66853449,73425872,60677875,49276789,42126510,33170332,25427856,25427857,33170334,42126512,258401661,64351274,76929732,90805944,104983826,119178848,104983828,104983829,119178854,112535767,259784850,146248134,152499249,139780012,126405705,112535768,98541436,84616843,84616842,98541431,112535766,112535771,126405703,126405704,139780011,152499247,164365364,152499252,152499251,164365365,175156908,184733173,193095033,200271303,206332206,210728179,205576368,199347731,191985378,183426897,173636193,162610113,150485883,137450400,123722018,260012750,81216580,67750084,67750085,67750086,259167649,109529772,123722019,137450402,261719424,153195074,140512226,259376972,259376974,140512228,153195072,165014078,175746975,185259850,273710459,211634634,215689096,219042839,264506068,210484830,205292029,199017661,191597650,182964758,262718698,199017658,205292028,201191730,194150089,194150088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9697192, s2 = 14946126, dlinesl.size( ) = 2 s1 = 9697192, s2 = 14946126, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9697192, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16285756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15888026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15888026, s2 = 13369398, int(edited[s2]) = 0 s1 = 15888026, s2 = 13369398, d1 = 5, d2 = 7 Dl.O(d1) = 38038107,38038108,47951526,46353206,36495299,36495300,36625499,28152059,28152060,36625500,36494985,36494986,46352951,49118763,46491601,256285979,20973645,20973644,28151854,36625261,46368675,36510371,28046572,20878666,20878667,20315758,20315757,27247871,35372290,36510384,28046581,20878670,20878669,28046578,36510379,39156924,46368678,36510374,36510373,46368676,55704599,44797188,35372386,35372387,44797190,55704602,65536339,53768187,53768186,61296531,61296532,68101898,68101899,77299096,77299097,91219585,78871937,65536356,53511766,43033382,43033383,53511768,53511683,53511682,60841613,49439843,49439844,40561511,40515336,31818625,31818624,40515334,257076464,36530673,31442756,31442755,40122023,256932696,61625134,58310816,46944347,46944348,58310818,71026507,72267916,62101008,256529454,31859789,31859788,256529452,31859764,31859763,40561407,50602415,59446094,72184229,74904379,74904380,85232771,258642390,74904352,62100946,50602349,40561346,40561345,50602347,62100940,58353849,46984217,46984216,58353846,71070105,84590871,81581883,81581884,84633135,71070045,71070046,59893099,48499031,38584144,38584143,48499027,58353781,58353780,71070040,58353773,58353774,71070042,74403858,71070036,58353776,46984149,37100089,28592945,28592946,37100091,46984153,55694098,44786907,257331339,44786973,35362826,27239674,27239673,35362824,44786969,55694161,68091823,68091829,258550662,46984193,37100119,37100117,256858827,58353857,57960970,46584557,36697960,36697959,39508595,49439752,46584533,36697938,28207162,28207161,36697937,38332693,29762165,29762164,38332691,48242976,59630072,71070080,70679452,57960986,57960987,47081567,37186344,37186343,47081563,58459541,71181546,84633148,84633147,98127665,98127664,99499676,88009393,84750321,71181612,58459616,47081609,47081551,47081552,58459527,71181530,84750277,85232037,98677750,84750290,73591149,60841492,60841493,71181590,74715693,74715692,70679500,68091743,55694065,55694064,268392796,47081545,47081546,48956847,39508488,30900816,30900815,37656323,37656370,39034796,30901005,30901006,30714423,30714424,30714410,30714409,39312354,49239124,48956822,48956823,39508613,30900926,255863350,49239136,39312367,30714422,23297489,17037383,11951198,8000013,8000014,7212882,7212881,10905904,15746626,21808047,29106712,29106429,21807823,21807822,23297491,23297492,23037742,23037743,25700122,19074307,19074309,25700125,33473061,255428450,30901206,30900856,23467034,255988703,28792384,28792383,30901232,23467308,17187346,254830387,8127029,12085283,17187343,23467302,23467356,23467355,30901289,39508954,39312342,256473540,23297477,30714405,23467316,255988721,39508827,30901143,30901144,30714407,30714406,30901294,39508958,49439871,49439872,39508831,39508832,31319399,268679805,30901173,23467263,17187308,12085266,12085267,17187312,23467271,30901185,39508868,256491201,30900934,39508618,30901254,256491231,39508900,30901225,30901226,39508902,49440042,256491225,256491227,39508558,30900877,23467047,17187159,17187158,23467045,23829468,17491420,12332808,12332809,17491424,23829476,30901157,30901156,30901182,30900988,30900987,39508676,49439851,60841616,60841617,61907304,50416895,40382496,31688833,24180172,24180171 Dl.O(d2) = 40382488,43034047,33977163,26138294,19442153,13912360,13912359,254949876,7840683,11743567,16795508,19440709,26136565,33975411,33976496,33976495,39356222,30755507,23332854,23332855,28046533,26137192,19441248,19441246,26137027,26137026,33975837,43032744,53511224,53511222,43032743,43032742,50207380,50207379,61689549,59611919,48225534,48225533,48225598,38315968,38315967,48225596,59611974,58475370,49283261,49283260,60684342,64601619,52700846,42313688,42313691,48225441,42021588,42021583,33077692,33077691,29823594,22456386,16288420,16288421,22456393,28678718,21430135,21430132,256174062,58475366,52361977,52360468,42021616,33077716,25347406,268488351,52360470,59611888,59611887,52360444,42021593,256119989,25347397,33077699,31499945,31499946,38315563,29746860,22387401,16228924,11281914,11281915,16228927,16228972,22387471,29746959,256544082,38315758,48225356,38315682,29746951,22387466,22387467,29746953,38315685,38315836,29747078,22387562,16229039,16229038,22387560,29747074,38315828,29747149,29747148,38315927,48225560,59611938,70561931,57860222,46503963,46503964,46922302,51392549,51392550,46922053,37044151,37044056,28544759,28544758,37044054,28544990,28544991,37044367,46922230,44757273,35329357,35329358,28545017,28545013,32379684,24759822,18283518,18283520,24759826,32379691,35412926,35412927,40500923,31805721,24290984,24290983,28544725,21321147,21321148,28544728,37043997,38121353,29555991,22211038,16080144,15350212,15350213,21321071,28544621,37043874,46693109,36809744,28313074,21102679,15158251,15158252,21102681,28313079,36809752,46693115,46266312,36413548,36413549,36413554,268369827,20793918,27955350,36413552,46266317,46714808,46714807,42197896,33237421,25488169,255513114,27955339,33583017,42607018,36413531,36413532,46266287,57610761,63710744,257421936,36413595,36413594,46266371,57610833,50352884,40325853,40325854,32754312,25062096,18523218,13161269,13161268,18523213,25017892,18487934,18487933,25017889,25017916,32701470,41604373,41604275,41604274,41604462,41604461,32754232,25062045,18523191,18523192,25062046,32701362,25062017,25062018,32754177,256101931,25062358,32754734,41666174,257627874,49272217,39345971,39345970,41665652,51973535,63788645,51974132,41666227,41666226,51973380,41665506,32754202,25062032,18523184,13161258,8971129,5856471,3655779,3655778,254638263,13161271,18523221,25062102,32754322,41665665,51973550,49272137,39345892,30746327,30746328,32754175,32754791,32754792,41665519,41665520,51973385,50985548,50985549,62607995,256498784,63788707,63788708,76898230,63788928,51973924,41666354,32754941,25062507,18523452,18523451,25062502,32754931,28719186,28719188,32754915,25062489,18523443,13161394,8971184,8971151,8971152,13161327,18523328,18523335,18523477,18523476,25062540,32754694,25062327,25062324,32754670,32754671,41666105,51974029,63789008,51974327,51974326,257844285,43032800,53511309,257745354,61468662,49991226,49991225,61468661,51904028,51904026,63710651,62846015,62846016,75809701,258903958,77234213,64089728,64089727,64598704,65251054,53261456,42808433,42808434,256818616,59117506,47720104,255005384,37799417,47720096,59117497,53074188,42626651,42626650,53074187,65056682,78335740,92368627,106672669,120925333,134723453,147848907,160102693,171328861,178793106,168487913,168487912,178793105,187894010,195828856,193668739,185385721,175894003,165184331,153380176,140698606,127342806,113473406,113473405,113473419,113473421,127342808,113473414,113473412,113473411,113473391,99463191,85517331,71929810,71929809,59190247,59190246,71929835,70947756,255224820,46862555,41368563,38781700,38781699,48704124,47790066,37865581,29296369,29296368,256914677,40016988,50036398,61515424,74293052,61515445,61515444,50036446,50036445,50036481,40017064,31338105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15888026, s2 = 13369398, dlinesl.size( ) = 2 s1 = 15888026, s2 = 13369398, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15888026, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 101450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2350471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2686602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164372, s2 = 9711539, int(edited[s2]) = 0 s1 = 14164372, s2 = 9711539, d1 = 15, d2 = 21 Dl.O(d1) = 97780251,83921754,70395555,70395551,57701482,57701481,70395548,83921751,97780245,111701989,97779962,97779963,260470027,125508097,125508323,125508321,138840724,151543435,151543360,138840621,138840622,151543362,151543179,138840411,138840410,151543176,151543175,138841039,125508644,111702376,97780243,83921749,83921751,97780245,111701989,111701988,125508147,138840540,138841024,151543658,163426654,174275827,163426626,151543193,138840428,125508052,125508053,111702026,97779982,83921558,83921560,97779989,111702041,125508227,138840579,138840580,151543308,262124945,151543195,163426629,151566246,262124947,138840437,125508062,111701928,111701929,125508066,138840442,138840857,151543188,273288604,125508330,111702131,97780059,97780010,83921573,83921572,83921731,70395536,70395535,83921726,97780217,111702334,111702245,97780151,83921674,83921673,97780149,111702249,125508492,138840575,125508266,125508267,138840677,125531467,111725225,111725224,125508218,125508198,125508200,138840602,151543336,138841040,261602855,262574474,138841045,125508649,111702379,111702380,125508652,138840369,138840370,151543127,262125033,138840721,125508466,111702231,97780133,83921664,83921665,97780136,111702235,125508473,127414894,113544245,99532896,85586093,85586094,71999382,59263217,47867699,37949649,29385011,22054966,22054965,21546683,21546682,28815210,37354211,47263876,58655695,71390778,84965462,85586101,85586100,98891028,98891027,98891026,112878700,112878699,98891025,98891024,112878696,126730839,140078850,141604213,128252888,114375401,100351019,100351016,100351015,114375395,128252885,128252869,260298564,128273279,114397218,100374193,100374194,100374228,86418568,86418567,100374226,114397248,128273303,141623678,154279396,166032039,176672620,176655667,263571701,201310866,207227400,207241142,207241141,212119474,215098506,210926111,205819714,205819713,205819712,199645178,199645179,199645176,192346523,184503227,184503228,272664458,174200641,163347825,163347824,163347826,151464206,138762667,125433359,111630048,97708519,83849150,70323384,256590020,57632639,46287976,46287977,268277668,43906831,51341387,41156421,36434984,36434985,36434954,36434955,46287957,57632624,70323374,269455616,65871526,53803720,43278858,43278859,53803721,60755410,49352432,49352433,53380500,42914100,42914085,33868336,26046143,26046142,33868335,42914084,42914093,53380490,52840191,52840192,64760828,64760831,64760832,65384448,65384447,77956186,258554526,91728450,91728451,77800811,64618286,52718120,52718119,52718123,42331091,42331092,33349672,33349673,42331093,42331094,52718125,52718090,42331058,33349638 Dl.O(d2) = 52718082,42331048,42331049,52718085,64618259,64618288,64618287,77800813,91728470,101807914,104985408,271019989,76931516,63823810,52007987,257760735,64271159,52415723,42071936,33122775,25386662,25386663,256638737,52415724,64271162,257458910,73317309,60574627,60574628,258817745,60438800,49034970,49034971,60438802,49175881,39250861,30655042,30655041,39250864,46739669,36858023,31978619,268607443,28360032,36858029,46739679,268700103,31978624,256058029,24424913,29278213,29278212,36858005,36858006,46739655,58109774,59514441,49372073,39443747,39443748,257566237,38810823,30228091,22836313,268415245,38810820,48731094,48731083,256441291,22836311,22836312,30228089,38810817,38810815,38810814,36435022,27976303,20812783,14916867,14916866,20812781,27976299,36435015,46288021,57632677,70323429,83849177,97708553,111630084,257932186,125433398,119692305,105454283,91232760,90807649,76931497,63823794,52007971,52007970,41696324,32779964,32779963,32779984,25082646,18538748,13172548,8979377,5862379,3659938,2189675,2189674,3659936,5862376,8979373,13172543,18538742,25082634,25239813,18670173,13278302,9062862,5925913,3705405,2219179,1287499,1287498,2219177,3705402,5925915,9062866,13278305,9062864,9062865,13278307,13705009,15057254,10382934,10382933,15057252,20967001,28145294,32961233,41899471,52235358,52235363,52235351,52235352,64081251,77224292,80339953,66913506,66913505,80339951,80339949,66913504,54656630,43913833,34640378,34640379,36526436,36526437,36526432,256813917,57736080,57736077,57736078,270790755,83956714,97815730,111737630,125543507,138875950,127664169,127664171,141012513,141012514,127664173,127664172,141012570,141012502,127664100,113795847,99781793,85828458,72236083,59500676,258128217,85828460,99781792,113795844,113795843,127664098,141012501,153678727,163845851,151976821,139270021,139270020,139270022,151976824,139270025,125920581,112086121,112086109,98125693,98125694,112086111,125920566,139270006,139268732,125919287,112084832,98124421,98124420,98125690,84230391,70676925,70676926,84230393,98125692,84567183,84567184,98490246,112481992,126349522,260488786,139092514,151795273,151976814,261068050,151976816,151976815,163845849,164534861,164534860,175301936,173602381,162572457,150444126,137404711,123673626,258440286,81545608,81545607,95576070,109776159,123913027,137593923,150594081,139786473,126412687,112543130,98549213,84625330,71061712,58345397,46976124,37092924,28586796,21356064,15378941,10627401,10626990,10626989,10626988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164372, s2 = 9711539, dlinesl.size( ) = 2 s1 = 14164372, s2 = 9711539, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164372, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 885795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8328208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8328208, s2 = 7705767, int(edited[s2]) = 0 s1 = 8328208, s2 = 7705767, d1 = 74, d2 = 51 Dl.O(d1) = 260405266,25094591,256618319,257761815,41709839,41709838,269067607,41709864,32793669,25094599,18547900,13178818,13178817,257172735 Dl.O(d2) = 273225654,128169550,114285627 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10230294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2352380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2352380, s2 = 8095296, int(edited[s2]) = 0 s1 = 2352380, s2 = 8095296, d1 = 0, d2 = 0 Dl.O(d1) = 63862532,257601554,32807826,32807825,41728110,48250465,38339812,38339811,47999104,47999105,59387756,62352902,50789716,40698424,31959919,31693573,28398283,21178030,21178031,26612353,34599568,37765549,40698063,46808551,36930203,36930202,46808548,269023590,28431530,27956396,20794937,20794938,27956398,36414529,37765690,43348757,53873965,46762561,46762560,58130581,70845082,84402581,71827063,59086556,47687438,37765772,37765773,257485385,71827066,85415104,99358179,91523298,77592304,64423675,52549670,42190984,33230742,25482123,18879748,13454146,9200804,6023937,254300093,2258014,3768615,6023941 Dl.O(d2) = 63862532,257601554,32807826,32807825,41728110,48250465,38339812,38339811,47999104,47999105,59387756,62352902,50789716,40698424,31959919,31693573,28398283,21178030,21178031,26612353,34599568,37765549,40698063,46808551,36930203,36930202,46808548,269023590,28431530,27956396,20794937,20794938,27956398,36414529,37765690,43348757,53873965,46762561,46762560,58130581,70845082,84402581,71827063,59086556,47687438,37765772,37765773,257485385,71827066,85415104,99358179,91523298,77592304,64423675,52549670,42190984,33230742,25482123,18879748,13454146,9200804,6023937,254300093,2258014,3768615,6023941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2352380, s2 = 8095296, dlinesl.size( ) = 2 s1 = 2352380, s2 = 8095296, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2352380, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 9337277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9383338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6913615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2353189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6671885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6671885, s2 = 11658077, int(edited[s2]) = 0 s1 = 6671885, s2 = 11658077, d1 = 17, d2 = 6 Dl.O(d1) = 257174987 Dl.O(d2) = 194340358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6671885, s2 = 11658077, dlinesl.size( ) = 2 s1 = 6671885, s2 = 11658077, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6671885, Dl.E( ) = 30, 1.48e-05 seconds used appending s1 = 2689442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2473507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2690330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1645811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1645811, s2 = 6930339, int(edited[s2]) = 0 s1 = 1645811, s2 = 6930339, d1 = 19, d2 = 16 Dl.O(d1) = 41787011,32866509,32866510,257176939 Dl.O(d2) = 260241753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1645811, s2 = 6930339, dlinesl.size( ) = 16 s1 = 8262726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8262726, s2 = 7195425, int(edited[s2]) = 0 s1 = 8262726, s2 = 7195425, d1 = 20, d2 = 17 Dl.O(d1) = 102696079,105104030,90923415,77042735 Dl.O(d2) = 263863300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8262726, s2 = 7195425, dlinesl.size( ) = 2 s1 = 8262726, s2 = 7195425, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8262726, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 2355654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2690903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13959901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13959901, s2 = 16313856, int(edited[s2]) = 0 s1 = 13959901, s2 = 16313856, d1 = 0, d2 = 0 Dl.O(d1) = 267775016,254195878,18628047,25188310,32898100,41821413,52137533,63959042,77073997,90957907,105142471,119339157,133172313,146401216,158769502,260778680,189236623,196977331,203589811,263659588,219796101,216551077,212638108,207850756,202042468,195134927,187058028,177784230,167289573,155657601,155657600,143105801,129774947,115875132,101828129,87853484,74248808,61470558,257302180,31302300,31302301,34982368,26902544,26902543,268046096,9850623,9850622,14338652,255321550,26902550,256211380,36878441,36878442,46757132,58125500,70840112,60850920,60850921,50074268,50074269,61552828,74329376,87932387,101905721,101905720,101905719,115951303,129850433,143181165,155734752,167368894,172481339,161280883,148975427,259954026,121797790,107415648,93007799,78898291,256354588,43059765,34001499,34001500,43059768,53539075,65563609,78898292,93007800,107415651,121797791,135736879,148975428,161280885,272540588,191137185,198627997,204973949,210232178,214529811,218062479,221024329,223556851,225751763,227665423 Dl.O(d2) = 267775016,254195878,18628047,25188310,32898100,41821413,52137533,63959042,77073997,90957907,105142471,119339157,133172313,146401216,158769502,260778680,189236623,196977331,203589811,263659588,219796101,216551077,212638108,207850756,202042468,195134927,187058028,177784230,167289573,155657601,155657600,143105801,129774947,115875132,101828129,87853484,74248808,61470558,257302180,31302300,31302301,34982368,26902544,26902543,268046096,9850623,9850622,14338652,255321550,26902550,256211380,36878441,36878442,46757132,58125500,70840112,60850920,60850921,50074268,50074269,61552828,74329376,87932387,101905721,101905720,101905719,115951303,129850433,143181165,155734752,167368894,172481339,161280883,148975427,259954026,121797790,107415648,93007799,78898291,256354588,43059765,34001499,34001500,43059768,53539075,65563609,78898292,93007800,107415651,121797791,135736879,148975428,161280885,272540588,191137185,198627997,204973949,210232178,214529811,218062479,221024329,223556851,225751763,227665423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13959901, s2 = 16313856, dlinesl.size( ) = 2 s1 = 13959901, s2 = 16313856, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13959901, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10210347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10210347, s2 = 10349213, int(edited[s2]) = 0 s1 = 10210347, s2 = 10349213, d1 = 6, d2 = 6 Dl.O(d1) = 50037025,40017685,31338640,31338641,40017404,31338404,31338403,40017401,50036815,42627963,42627964,42628037,33603329,25805808,19158754,13680714,9368623,6136606,6136607,9368626,13680718,19158761,25805819,32793731,33603335,33603336,42628046,52017635,42585228,33568304,32975989,25805716,19158706,19158705,25805710,33603184,42627883,50036940,42183464,33223428,33223427,41732016,52046810,61515777,61515778,65058008,53075572,42627942,33603238,25805738,19158713,13680694,13680695,19158718,25805746,33603247,41731992,40365673,40365672,268685844,41731987,268116788,53075629,52017637,52017636,42627949,42627950,52046800,42628029,40279837,40279838,50300095,255280392,59306117,47911897,37995932,37995933,41707122,32791381,25092975,25092974,18546703,18546705,25092997,32791418,40017673,40017675,33603206,25805722,25805721,33603199,25805767,25805764,31595506,40279728,50299997,59306056,47911774,37995758,31595615,31595616,40279818,42628064,42627912,40279885,31595661,24092144,24092143,31595656,32811517,25108922,25108921,31595633,24092126,17734401,17734403,24092134,31595644,40279852,41709993,42333983,40279796,37995935,29433410,29433411,25092984,18546698,13178001,8982858,8982859,13178006,18546711,25093012,32791433,37996025,29433461,29433460,37996023,42627970,40279894,40279703,31595469,31595468,37995557,47911595,52046819,41732030,41732028,50300108,40279862,40279861,49872995,46800371,36922257,28423803,28423804,36922265,29433586,29433587,37996153,32793816,32793814,29433609,22101281,15991348,11101210,7361960,7361961,10816005,7361942,7361941,11101174,15991289,22101173,29433418,32793886,25094758,18547990,13178873,8983369,8983370,13178861,8983365,8983364,13178854,18547967,25094714,32793830,41710030,37996103,29433525,22101229,15991322,15991323,18548316,18548021,18548022,25094811,31595474,32794629,36922270,28423817,21200609,21200607,22101240,22101237,29433542,22101267,18982515,18982513,15991301,15991302,11101221,7361966,4650254,2801084,2801083,4650251,7361957,11101203,15991332,22101244,29433551,29433605,29433604,33352271,29433520,22101224,18547994,18547957,13178850,13178852,18547962,25094711,22101275,22101273,25094793,25094727,18547977,13178864,13178863,18547974,25094724,29433535,22101233,16021251,16021250,22138047,29474689,37996047,33352515,25592026,18982535,18982536,18982549,13545650,13545651,18982556,18548009,13178888,8983374,8983373,11101217,11101188,7361950,7361951,11101193,255449213,29433500,256383638,32793882,25094753,25094752,29433509,29433508,25591805,18982377,13545547,9273135,9273137,13545549,18982381,25591812,33352337,33352574,37996073,29433496,22101215,22101214,29433493,29474680,29474679,38037470,47950830,52020591,41709979,41709978,33352506,33352507,33352539,25592045,25592046,33352543,32793802,32793803,33352520,42333945,255887838,22101203,19668353,19668354,26402688,32793850,25094733,25094732,32793764,32793763,29433476,29433475,37996037,46810279,58177649,52721049,42333926,42333925,47912044,37996061,29433486,29433485,37996058,47912036,59306267,58052311,46677626,36791664,28294992,21087859,15147629,15147628,21087857,28294984,36791650,32793768,25094663,18547942,18547943,25094666,32793775,34276171,43374977,38395474,38395475,42614533,53062364,47912017,37996032,29433465,29433463,37996030,40325175,32793846,28433217,28433218,28433227,21209147,21209146,28433226,33616680,25816753,25816754,33616682,38435520,38435521,47912041,42643645,37996067,37996068,47912057,38395480,38395479,36791692,28295005,21087875,15147639,10447037,10447035,15147634,21087867,26401184,34276174,32793756,32793755,25816703,19167166,13687057,13687048,13687049,19167149,25816681,33616589,41705722,41705724,37727609,37727608,34276166,33616734,33616735,36931965,28433221,21209141,15242658,10515439,10515440,15242661,21209151,28433233,33616766,42643774,33616777,33616776,33616773,25816855,25816854,33616771,267901332,22455929,29823103,36791680,28294998,28294997,36791678,46677640,58052319,53093556,42643633,42643634,33616644,25816713,19167172,254938209,6140149,6140150,9373350,13687064,19167176,25816718,33616649,33616722,33616723,25816818,19167243,19167241,19167249,25816831,33616661,38395489,30702339,28433229,25816849,19167262,13687108,13687107,19167257,25816725,25816726,23286768,17027724,17027722,15635222,10819767,10819766,15635216,17264503,17264502,19147559,17599996,17599995,21615184,22209142,29553885,33616748,33616749,31635708,30847553,23417268,17141384,17141368,12046880,8099111,6887121,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151119,1151117,2012758,3410911,5524395,8525745,255584961,31635435,40324731,50351598,61835807,74628062,88258367,102256607,116351158,116351143,102256612,102256611,116351159,130189872,260202550,126179837,126179838,129035746,115107262,101033201,97694942,83837247,70312419,61977488,59993946,59993945,55655259,44747242,268710716,46631664,46631665,58006684,70312411,57622030,57622028,57622022,46277673,36425006,268900659,57622019,70312396,74022210,70862921,70862920,84420225,70862924,58148785,58148784,70862922,70988880,270287267,258912318,58274468,46909430,46909431,58274470,70988884,84551777,87788963,101761840,111613545,97694902,83837210,70312387,70312388,83837214,97694910,111613555,111613562,125412585,138736417,125412605,111613574,111613575,125412608,138736439,151432192,163310874,163310873,174161413,167609037,167609038,174161415,163310877,163310876,165357049,153567859,140893593,270910428,113666661,99653124,85704762,72119412,59388073,59388074,72119414,85704764,99653128,85949552,72354540,59619821,48232754,38322604,38322605,48232755,59619822,270324951,48232756,38322610,38322611,38322612,38802959,47999478,38087757,38087756,256540356,48232752,59619817,72354533,85949544,99906766,88483430,88483429,260161167,130434432,139513016,126138087,126138088,112278837,98297336,84388703,70831347,58116472,46747750,46747749,58116471,70831344,65934995,65934994,74495783,61714331,61714330,74495780,77329224,64181880,52331580,255845502,33048559,41992031,256879004,47225252,40161963,31477378,268400288,12456395,12456396,17633963,23980715,31477399,31643027,24136311,24136310,23009324,23009322,30413997,28352418,21138479,15187812,10476128,6907362,6907360,10476121,255118557,16626929,11597780,7720303,7720304,11597781,16626931,22851865,25795061,23866585,17522511,12357153,12357155,17522512,23866586,255921858,40046287,37709996,29149744,29149745,31178339,23689077,17367156,17367154,23689071,31178352,39861075,35388052,35388053,31179291,255553061,12235828,12235826,17367645,16626938,11597786,11597787,16626939,22851877,29702932,29702931,31413633,31269815,256230010,18144064,18144061,20195739,14490660,9970255,9970254,14490658,20195734,27094878,31525204,24023252,17673408,12497864,8465786,5471648,3366388,1980440,1980439,3366385,5471325,3366070,3366071,5471329,8465503,5471821,5471822,254863141,17667555,24015765,31517166,24023486,17673616,12498044,8465945,8465944,12129472,12496012,17670946,24019987,31521358,31517198,31517199,40203904,40212253,31526560,24024773,24024774,31526565,31525517,31525518,40211436,39715454,39715455,31527020,31527019,257083599,57747612,70442749,258748282,61713411,61713410,64254728,52399280,42055286,33106184,31523070,24021497,24021498,31523072,28164602,20984588,18786998,18786997,18712421,18712420,15035637,15035641,20944014,20964881,28143230,25348991,25348990,33079951,42023986,47292337,47292191,37383032,28843189,28843188,37383030,30083037,30083036,29464916,22130134,16015316,16015318,14985093,10316880,6786940,6786941,7375646,7375645,11119877,9208006,6028146,3771246,3771245,6028143,9207999,13465552,11119865,7375640,7104959,7104958,10754222,15549242,21571888,256337203,37383189,47292358,58683265,58683262,58683263,71416791,73334078,73334077,86944914,77517545,77517546,91447274,105670780,271525243,90966265,105152951,105670739,102621324,88615067,88615068,102621325,256562996,77080375,77080376,85666516,72079964,257695468,256923618,29478332,38041412,47954956,59346249,72079966,259364613,72079992,72079990,259364619,258304872,257695470,105152948,90966264,90966263,105152946,119351370,133185966,119906584,271525243,90966265,105152951,105670739,102621324,88615067,74973107,62161450,62161451,256563002,50557009,40520683,31823726,24306951,24306952,24306949,24306950,31823725,40520681,41823753,40602436,31893523,24365423,17969720,12734591,12734590,9033828,9033827,13244351,254424278,17969718,24365420,31893521,40602433,40602434,255209114,62161445,50652444,50652445,62161446,74973105,88615065,100522712,100522711,114553408,113629345,99615367,85666545,72079991,59346269,47954970,38041419,256381620,16023682,16023680,22141131,29478332,38041412,47954956,59346249,59346244,59346245,72079967,85666518,259980770,72079987,59346266,259982809,258304872,119351371,105152948,90966264,255601360 Dl.O(d2) = 50037025,40017685,31338640,31338641,40017404,31338404,31338403,40017401,50036815,42627963,42627964,42628037,33603329,25805808,19158754,13680714,9368623,6136606,6136607,9368626,13680718,19158761,25805819,32793731,33603335,33603336,42628046,52017635,42585228,33568304,32975989,25805716,19158706,19158705,25805710,33603184,42627883,50036940,42183464,33223428,33223427,41732016,52046810,61515777,61515778,65058008,53075572,42627942,33603238,25805738,19158713,13680694,13680695,19158718,25805746,33603247,41731992,40365673,40365672,268685844,41731987,268116788,53075629,52017637,52017636,42627949,42627950,52046800,42628029,40279837,40279838,50300095,255280392,59306117,47911897,37995932,37995933,41707122,32791381,25092975,25092974,18546703,18546705,25092997,32791418,40017673,40017675,33603206,25805722,25805721,33603199,25805767,25805764,31595506,40279728,50299997,59306056,47911774,37995758,31595615,31595616,40279818,42628064,42627912,40279885,31595661,24092144,24092143,31595656,32811517,25108922,25108921,31595633,24092126,17734401,17734403,24092134,31595644,40279852,41709993,42333983,40279796,37995935,29433410,29433411,25092984,18546698,13178001,8982858,8982859,13178006,18546711,25093012,32791433,37996025,29433461,29433460,37996023,42627970,40279894,40279703,31595469,31595468,37995557,47911595,52046819,41732030,41732028,50300108,40279862,40279861,49872995,46800371,36922257,28423803,28423804,36922265,29433586,29433587,37996153,32793816,32793814,29433609,22101281,15991348,11101210,7361960,7361961,10816005,7361942,7361941,11101174,15991289,22101173,29433418,32793886,25094758,18547990,13178873,8983369,8983370,13178861,8983365,8983364,13178854,18547967,25094714,32793830,41710030,37996103,29433525,22101229,15991322,15991323,18548316,18548021,18548022,25094811,31595474,32794629,36922270,28423817,21200609,21200607,22101240,22101237,29433542,22101267,18982515,18982513,15991301,15991302,11101221,7361966,4650254,2801084,2801083,4650251,7361957,11101203,15991332,22101244,29433551,29433605,29433604,33352271,29433520,22101224,18547994,18547957,13178850,13178852,18547962,25094711,22101275,22101273,25094793,25094727,18547977,13178864,13178863,18547974,25094724,29433535,22101233,16021251,16021250,22138047,29474689,37996047,33352515,25592026,18982535,18982536,18982549,13545650,13545651,18982556,18548009,13178888,8983374,8983373,11101217,11101188,7361950,7361951,11101193,255449213,29433500,256383638,32793882,25094753,25094752,29433509,29433508,25591805,18982377,13545547,9273135,9273137,13545549,18982381,25591812,33352337,33352574,37996073,29433496,22101215,22101214,29433493,29474680,29474679,38037470,47950830,52020591,41709979,41709978,33352506,33352507,33352539,25592045,25592046,33352543,32793802,32793803,33352520,42333945,255887838,22101203,19668353,19668354,26402688,32793850,25094733,25094732,32793764,32793763,29433476,29433475,37996037,46810279,58177649,52721049,42333926,42333925,47912044,37996061,29433486,29433485,37996058,47912036,59306267,58052311,46677626,36791664,28294992,21087859,15147629,15147628,21087857,28294984,36791650,32793768,25094663,18547942,18547943,25094666,32793775,34276171,43374977,38395474,38395475,42614533,53062364,47912017,37996032,29433465,29433463,37996030,40325175,32793846,28433217,28433218,28433227,21209147,21209146,28433226,33616680,25816753,25816754,33616682,38435520,38435521,47912041,42643645,37996067,37996068,47912057,38395480,38395479,36791692,28295005,21087875,15147639,10447037,10447035,15147634,21087867,26401184,34276174,32793756,32793755,25816703,19167166,13687057,13687048,13687049,19167149,25816681,33616589,41705722,41705724,37727609,37727608,34276166,33616734,33616735,36931965,28433221,21209141,15242658,10515439,10515440,15242661,21209151,28433233,33616766,42643774,33616777,33616776,33616773,25816855,25816854,33616771,267901332,22455929,29823103,36791680,28294998,28294997,36791678,46677640,58052319,53093556,42643633,42643634,33616644,25816713,19167172,254938209,6140149,6140150,9373350,13687064,19167176,25816718,33616649,33616722,33616723,25816818,19167243,19167241,19167249,25816831,33616661,38395489,30702339,28433229,25816849,19167262,13687108,13687107,19167257,25816725,25816726,23286768,17027724,17027722,15635222,10819767,10819766,15635216,17264503,17264502,19147559,17599996,17599995,21615184,22209142,29553885,33616748,33616749,31635708,30847553,23417268,17141384,17141368,12046880,8099111,6887121,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151119,1151117,2012758,3410911,5524395,8525745,255584961,31635435,40324731,50351598,61835807,74628062,88258367,102256607,116351158,116351143,102256612,102256611,116351159,130189872,260202550,126179837,126179838,129035746,115107262,101033201,97694942,83837247,70312419,61977488,59993946,59993945,55655259,44747242,268710716,46631664,46631665,58006684,70312411,57622030,57622028,57622022,46277673,36425006,268900659,57622019,70312396,74022210,70862921,70862920,84420225,70862924,58148785,58148784,70862922,70988880,270287267,258912318,58274468,46909430,46909431,58274470,70988884,84551777,87788963,101761840,111613545,97694902,83837210,70312387,70312388,83837214,97694910,111613555,111613562,125412585,138736417,125412605,111613574,111613575,125412608,138736439,151432192,163310874,163310873,174161413,167609037,167609038,174161415,163310877,163310876,165357049,153567859,140893593,270910428,113666661,99653124,85704762,72119412,59388073,59388074,72119414,85704764,99653128,85949552,72354540,59619821,48232754,38322604,38322605,48232755,59619822,270324951,48232756,38322610,38322611,38322612,38802959,47999478,38087757,38087756,256540356,48232752,59619817,72354533,85949544,99906766,88483430,88483429,260161167,130434432,139513016,126138087,126138088,112278837,98297336,84388703,70831347,58116472,46747750,46747749,58116471,70831344,65934995,65934994,74495783,61714331,61714330,74495780,77329224,64181880,52331580,255845502,33048559,41992031,256879004,47225252,40161963,31477378,268400288,12456395,12456396,17633963,23980715,31477399,31643027,24136311,24136310,23009324,23009322,30413997,28352418,21138479,15187812,10476128,6907362,6907360,10476121,255118557,16626929,11597780,7720303,7720304,11597781,16626931,22851865,25795061,23866585,17522511,12357153,12357155,17522512,23866586,255921858,40046287,37709996,29149744,29149745,31178339,23689077,17367156,17367154,23689071,31178352,39861075,35388052,35388053,31179291,255553061,12235828,12235826,17367645,16626938,11597786,11597787,16626939,22851877,29702932,29702931,31413633,31269815,256230010,18144064,18144061,20195739,14490660,9970255,9970254,14490658,20195734,27094878,31525204,24023252,17673408,12497864,8465786,5471648,3366388,1980440,1980439,3366385,5471325,3366070,3366071,5471329,8465503,5471821,5471822,254863141,17667555,24015765,31517166,24023486,17673616,12498044,8465945,8465944,12129472,12496012,17670946,24019987,31521358,31517198,31517199,40203904,40212253,31526560,24024773,24024774,31526565,31525517,31525518,40211436,39715454,39715455,31527020,31527019,257083599,57747612,70442749,258748282,61713411,61713410,64254728,52399280,42055286,33106184,31523070,24021497,24021498,31523072,28164602,20984588,18786998,18786997,18712421,18712420,15035637,15035641,20944014,20964881,28143230,25348991,25348990,33079951,42023986,47292337,47292191,37383032,28843189,28843188,37383030,30083037,30083036,29464916,22130134,16015316,16015318,14985093,10316880,6786940,6786941,7375646,7375645,11119877,9208006,6028146,3771246,3771245,6028143,9207999,13465552,11119865,7375640,7104959,7104958,10754222,15549242,21571888,256337203,37383189,47292358,58683265,58683262,58683263,71416791,73334078,73334077,86944914,77517545,77517546,91447274,105670780,271525243,90966265,105152951,105670739,102621324,88615067,88615068,102621325,256562996,77080375,77080376,85666516,72079964,257695468,256923618,29478332,38041412,47954956,59346249,72079966,259364613,72079992,72079990,259364619,258304872,257695470,105152948,90966264,90966263,105152946,119351370,133185966,119906584,271525243,90966265,105152951,105670739,102621324,88615067,74973107,62161450,62161451,256563002,50557009,40520683,31823726,24306951,24306952,24306949,24306950,31823725,40520681,41823753,40602436,31893523,24365423,17969720,12734591,12734590,9033828,9033827,13244351,254424278,17969718,24365420,31893521,40602433,40602434,255209114,62161445,50652444,50652445,62161446,74973105,88615065,100522712,100522711,114553408,113629345,99615367,85666545,72079991,59346269,47954970,38041419,256381620,16023682,16023680,22141131,29478332,38041412,47954956,59346249,59346244,59346245,72079967,85666518,259980770,72079987,59346266,259982809,258304872,119351371,105152948,90966264,255601360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10210347, s2 = 10349213, dlinesl.size( ) = 2 s1 = 10210347, s2 = 10349213, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10210347, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 2356212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2356212, s2 = 8469862, int(edited[s2]) = 0 s1 = 2356212, s2 = 8469862, d1 = 3, d2 = 21 Dl.O(d1) = 63979428 Dl.O(d2) = 169009784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2356212, s2 = 8469862, dlinesl.size( ) = 20 s1 = 6670409, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10219433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10219433, s2 = 8343456, int(edited[s2]) = 0 s1 = 10219433, s2 = 8343456, d1 = 9, d2 = 2 Dl.O(d1) = 40808757,40808783,268009376,18060659,12804513,12804514,18060661,24483134,32048580,40808789,50928396,58151925,58151926,62532140,63811912,51996736,46266656,36413927,27955735,20794269,20794271,27955738,36413932,41685433,51996761,41685411,32769115,32769114,38985939,38985937,48907871,60303543,57873089,51417882,51417881,63114667,76120166,71872499,59134465,59134466,63114662,51417875,268288838,40808604,32048429,24483020,18060577,12804471,8706325,8706326,12804473,18060581,18060614,12804487,8706335,5667919,3525831,2098479,1208192,681281,681280,1208190,2098475,3525824,5667908,8706318,12804459,18060559,18060621,12804493,12804421,8706295,8706296,12804423,18060504,18060604,18060603,24482959,32048380,40808520,40808521,50928140,53707054,59134460,50348992,44351424,44351425,44351437,34974008,26894843,256211015,34974011,44351443,44351426,34974003,26894840,20013401,14333338,9846309,6466842,6466841,9846307,14333334,20013396,26894827,34973984,44351404,55201914,67545714,67545719,62993598,62993592,62993591,257091338,89755085,75976227,75976226,89755083,103858832,260806073,145089906,145089893,131830929,131830928,118003559,103858830,103858831,118003535,103858812,103858811,118003532,118003526,103858806,89755061,75976198,62993575,51314663,51314664,62993578,75976203 Dl.O(d2) = 68094278,256577018,93151707,93151708,84640420,81584086,257127570,258324362,258324364,71080920,256577022,68094282,81584087,71080916,71080915,71080919,58364771,46994682,46994683,256859732,46994685,38054454,29490586,22151858,22151857,29490589,29490603,22151870,22151871,29490605,268939979,58360844,46990670,46990671,58360846,47967693,38054450,29490582,22151850,22151851,29490584,38054451,47967695,59358843,59358840,51563689,41341418,32493921,29490740,29490741,32493922,41341421,38054626,29490737,29490735,38054627,257219945,25702053,25702052,256663459,52872595,64791402,77984997,91908726,257245102,134134095,134134094,269110926,91908725,106103301,118413088,132229003,139569911,132229001,118413087,104253764,90119806,90119807,104253766,118413090,112334119,112334118,98350977,84441175,70883883,58169862,58169861,70883882,84441174,98350973,112334126,126194716,139569916,144401055,131170839,117368098,103238707,89148620,75401685,75401684,89148619,100853690,98350979,84441177,84441176,269786946,53371400,53371390,42905334,33860137,26038720,19360731,254504124,11801806,7882361,7537338,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952769,6599232,4134346,2473179,1429638,1429636,2409503,1394206,267782323,4021162,254680765,13106611,255313253,14179688,14185912,9751943,9751944,14185914,19787713,14173579,9743957,6407203,6407204,9743959,14173582,19787718,255083762,6599492,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10219433, s2 = 8343456, dlinesl.size( ) = 2 s1 = 10219433, s2 = 8343456, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10219433, Dl.E( ) = 12, 9.78e-06 seconds used appending s1 = 13686189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13686189, s2 = 4188710, int(edited[s2]) = 0 s1 = 13686189, s2 = 4188710, d1 = 46, d2 = 21 Dl.O(d1) = 133395027,119535674,105309543 Dl.O(d2) = 158012007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13686189, s2 = 4188710, dlinesl.size( ) = 18 s1 = 11657924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14252569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6922653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6922653, s2 = 8155982, int(edited[s2]) = 0 s1 = 6922653, s2 = 8155982, d1 = 14, d2 = 20 Dl.O(d1) = 260126148 Dl.O(d2) = 77226169,91142047 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2693682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2693682, s2 = 7429338, int(edited[s2]) = 0 s1 = 2693682, s2 = 7429338, d1 = 15, d2 = 47 Dl.O(d1) = 77246350 Dl.O(d2) = 266565891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2693682, s2 = 7429338, dlinesl.size( ) = 58 s1 = 6672482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6672482, s2 = 14565290, int(edited[s2]) = 0 s1 = 6672482, s2 = 14565290, d1 = 7, d2 = 9 Dl.O(d1) = 257179929 Dl.O(d2) = 57882691,57882692,268658226,46965044,37083893,37083894,46965046,37083897,37083898,257436677,258671271,98536670,98581303,84658225,71095496,58379045,47008257,37121715,28611169,21375902,15394505,15394504,21375900,255732438,29284504,21958899,15866430,15866431,255732436,37852627,30451900,30451898,39041299,48962580,47775779,268331188,44450846,55295406,67633418,58379034,47008240,37121704,29284506,255732432,47775764,59174515,71912295,85497220,90923376,90923401,270280494,95618459,105104024,90923396,77042712,63930084,63930083,77042709,90923391,77042714,63930085,256832546,58090750,55213510,44362314,44362313,40562842,40562843,50603865,62102429,74905810,256874372,77042702,71333541,58601238,47211372,37304751,37304752,47211376,58601244,255841386,47211249,47211248,47211431,37304800,37304801,47211383,58601250,71333553,58601302,58601303,58601235,47211369,37304749,28771322,254737188,47211371,255039936,21516563,268616451,28771372,21510270,21510269,21510210,15500965,15500966,21510213,28771270,37304655,47211225,55399206,44552627,44552626,47211224,47211422,58601068,255841374,71333459,58601136,58601135,255841390,47211285,47211283,47211311,47211309,47211214,37304614,28771239,28771238,37304612,47211208,37304721,28771306,21510230,15500983,15500982,21510228,254737184,47211335,58601199,58601245,255841410,84905903,71354313,58617067,58617068,58617064,47223773,47223774,58617066,71333427,71333426,71912300,71333498,58601184,47211324,47211323,58601182,58601173,58601172,60722790,49320484,39392366,39392367,49320486,60722782,60722781,49320475,49320474,60722778,73471067,87088869,73471054,60722770,60722771,60722804,62535874,50932348,50932350,60722797,73471084,87088899,98858599,84931409,84931410,84905909,75458382,75458381,89210565,87088918,73471098,60722809,60722808,73471097,87088917,101085521,115162125,123613214,112847115,98858594,98858593,99380670,271309160,84931294,89210563,75458380,75458379,87088911,73471094,60722803,49320491,49320490,60722801,71354465,58617235,58617234,60722793,49320487,257608399,73471082,87088895,101085505,115162115,112847122,98858606,84931414,84931413,98678184,84750698,71181958,71181957,84750695,259161192,101802306,270450714,98260423,91648463,77721035,64539184,257204841,33274955,25514523,25514525,33274960,268994053,39948690,33274975,25514532,25514533,31273860,23788288,17457247,12306783,8312511,8312512,12306785,17457253,23788294,31273868,39948692,31273909,23788336,17457293,17457294,17457336,254847149,5363713,8312554,12306859,12306790,8312514,5363687,3297341,3297342,5363691,8312520,12306799,12306839,8312546,5363709,3297351,3297350,5363706,254847145,17457303,23788346,23788370,23788371,23788316,23788317,17457351,12306871,254591551,267799517,1939311,3297349,1939307,1939306,3297347,3297353,3297352,5363711,8312549,12306847,17457322,17457321,23788369,23788367,17457319,17457320,256011005,31273964,268439275,23788397,31273963,31273961,23788394,23788393,31273959,39948755,39948754,31273970,23788412,17457355,12306873,12306872,17457352,23788408,31273890,39948711,39948714,39948808,39948809,47642737,37720663,29160833,29160834,37720665,47642739,39948806,39948807,49965652,48713233,38791358,30206661,22814947,22814948,30206663,38791360,48713236,60108381,72844880,86439488,100395138,114418483,128294393,128294391,114418477,270663634,141644113,130003342,261301139,119670925,260854417,141587236,141587237,261665034,119670948,114359795,114359792,100335269,86378009,86377992,86377991,100335251,100335254,100335273,86378013,72781904,72781896,60043079,48646662,38725610,30144197,22757307,16545498,16545497,22757305,256433765,48646657,55458648,44610226,35229269,35229271,44610230,55458656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6672482, s2 = 14565290, dlinesl.size( ) = 10 s1 = 14163216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9562520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6884071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2695037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2695037, s2 = 13683772, int(edited[s2]) = 0 s1 = 2695037, s2 = 13683772, d1 = 26, d2 = 190 Dl.O(d1) = 77267445 Dl.O(d2) = 187450312,178232697,167787074,156190883,143660387,130335113,130335114,143660389,156190885,167787076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2695037, s2 = 13683772, dlinesl.size( ) = 78 s1 = 2360199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2360199, s2 = 7295703, int(edited[s2]) = 0 s1 = 2360199, s2 = 7295703, d1 = 0, d2 = 65 Dl.O(d1) = 64121877 Dl.O(d2) = 265097991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2360199, s2 = 7295703, dlinesl.size( ) = 2 s1 = 2360199, s2 = 7295703, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2360199, Dl.E( ) = 88, 2.31e-05 seconds used appending s1 = 6740521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2695855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14201793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14201793, s2 = 6583772, int(edited[s2]) = 0 s1 = 14201793, s2 = 6583772, d1 = 0, d2 = 11 Dl.O(d1) = 143704224 Dl.O(d2) = 256225606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14201793, s2 = 6583772, dlinesl.size( ) = 2 s1 = 14201793, s2 = 6583772, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14201793, Dl.E( ) = 24, 1.29e-05 seconds used appending s1 = 10219969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10219969, s2 = 14970062, int(edited[s2]) = 0 s1 = 10219969, s2 = 14970062, d1 = 4, d2 = 8 Dl.O(d1) = 13475035,18906611,25516476,33276873,33276871,33276870,42256522,40564421,40564422,40564425,31862758,24340519,24340518,31862756,40564423,50605477,62104136,74907647,71531881,60333060,60333059,63120413,66909612,54652533,54652534,66909615,80336509,94391414,94391415,108678686,105444017,91221571,77301496,64152925,52301070,52301069,64152924,77301493,91221566,105444012,260855599,146817008 Dl.O(d2) = 91221439,91221437,77301324,64152688,64152687,257773777,52300790,64152689,257184483,33017360,25291664,25291663,33017359,33017357,33017358,41960111,33017347,25291653,18718069,13324502,9104151,5957116,5957115,9104150,13324500,18718065,254914203,5957110,3725458,2230565,1293569,738288,419645,419644,236825,130642,130641,236824,254093349,236831,419651,738286,419649,419648,738293,1293574,1293570,1293571,2230569,3725465,3725519,2230606,1293602,738311,419666,236844,236845,419669,738314,1293607,2230607,3725520,5957181,9104256,13324670,18718326,18718327,25292013,33017752,33017393,25291695,18718105,13324528,13324529,18718106,13324653,13324652,13324658,13324660,9104248,5957174,5957163,3725501,3725502,5957166,9104236,13324640,268022345,5957176,5957175,9104251,13324539,18718118,25291706,18718322,13324666,13324665,18718320,25292007,33017747,257184505,63029999,76012755,74545072,258665932,50282220,40261396,31574421,24068959,17713026,15524097,10736543,7093681,7093683,10736545,11223147,16154174,18227063,18227062,24696319,32309569,38619802,38619803,38030611,29468092,29468093,31705182,24197576,24197577,24696256,24696327,18227068,12928285,12928284,18227066,24696323,29651707,22299817,22299816,24696328,23037326,23037327,30444832,39034218,39034278,30444913,23037412,23037413,23426272,23426271,22461939,22461937,29828817,30444716,30444847,30444846,255467538,29365951,22035371,15933822,11336004,7533135,7533136,11336008,16293010,16367497,255512169,30444744,39034173,48956293,40377485,40377486,42202008,38067060,256159920,38662814,33222679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10219969, s2 = 14970062, dlinesl.size( ) = 2 s1 = 10219969, s2 = 14970062, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10219969, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9387588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2362864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9132262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340483, s2 = 8058548, int(edited[s2]) = 0 s1 = 10340483, s2 = 8058548, d1 = 34, d2 = 14 Dl.O(d1) = 268495157,256520146,29086731,21789339,15731163,15731162,21789337,29086729,31143154,30229692,22837637,16615977,16615976,22837636,256985483,60127061,257649660,258880958,258414906,256652038,25553572 Dl.O(d2) = 2274763,1319108,752479,427410,427406,427378,427377,752440,752529,1319209,2274933,3789984,6056995,9236076,13499755,17827951,12623199,10384781,6843970,4294426,4294425,4554494,2738117,1586547,1586546,2738106,2738090,2738094,2738058,2738055,4554363,7227016,10925378,15773081,256359227,20950568,17686268,12508280,8473518,5477277,5477276,7677926,4858243,2927710,1698248,1698246,1480474,836767,471502,264886,146597,80560,80557,146585,264862,471458,836680,834241,470276,470277,834237,1475332,2561899,4285048,6830079,10367553,13297934,9079746,5938266,4285906,2562379,2562380,4285908,267958413,20950552,28128466,254800882,19821981,26633343,34622493,269613969,38157779,38157778,37022595,28524787,28524786,37022594,42191857,256564816,30570347,23152847,16891869,11820412,255095890,20026491,20026490,26910442,26910413,20026465,20026463,26910409,34991556,255255550,15258741,15258742,18762543,18762545,24074135,254916998,8495765,5497119,5497120,8495769,12534132,17717645,20049575,14363783,9870374,6483990,6483989,9870372,14363778,20049587,26935805,35017176,28050465,28050464,36514715,29587746,22239761,16104119,15472888,15472890,21475492,25477587,33225844,29588249,22240152,22240139,22240140,22240130,16104358,16104357,20963670,26413902,22620853,256422407,48470793,59861904,72599583,67623602,55285706,55285705,67623600,270658923,123592375,261683392,60049681,48795471,38873042,30287290,22889423,16660401,16660400,22889419,29097726,22889398,21416617,21416616,15426773,15426774,255055680,268919405,21185748,15223791,10501233,10501232,10375029,10375028,254881096,254846740,254545910,17045506,23306719,30724390,39322328,40001499,50019977,61498319,67597697,67597696,255512782,28769749,21508805,15499899,15499900,20040862,25145745,23548302,23548303,31029366,23833389,17494491,12335091,8333006,5378240,3307174,1945635,1945633,3307168,5378218,8332954,12334992,15128906,15128904,21062142,18589378,13210139,13210140,18589381,20875392,21786913,15728476,15728474,21786905,29084481,37634533,42655737,33626841,25825014,254973088,12020857,12020856,10603751,6996329,4396852,2634748,1521469,1521470,2634753,4396865,6996349,10603700,6996305,4396842,4396841,6996300,10603693,15349485,21320003,255981419,37042291,37042290,30804595,30804594,28543339,28543338,28543363,37042340,37042339,37042350,28543652,21320244,21320246,28543658,33626811,37042396,28543529,21320166,21320165,21320146,21320145,28543503,28543736,37042850,37042858,46920744,37042742,37042545,37042546,46920554,42655729,42655730,46920497,44525097,44525095,46920484,46425323,46425324,36561138,28091172,28091165,28091166,36561128,46425319,37042381,28543356,28543336,21320035,21320024,15349500,15349502,15349516,21320048,28543352,37042370,46920345,37042552,37042553,46920560,58286435,58286445,58286444,46920603,37042592,37042593,46920608,58286509,58286363,58286362,58286347,58286349,58286422,46920540,37042537,28543483,21320133,21320131,28543479,37042531,46920531,58286406,71001626,71001627,58286439,58286440,58286164,46920308,46920307,58286161,71001359,84565278,84565334,71001405,58286200,46920335,46920336,58286181,58286471,46920582,37042575,37042560,37042561,46920569,58286454,71001710,84565660,71001745 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2011190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6673330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13545745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8410482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8410482, s2 = 3555278, int(edited[s2]) = 0 s1 = 8410482, s2 = 3555278, d1 = 29, d2 = 55 Dl.O(d1) = 257172868 Dl.O(d2) = 18745541,255655367,33052919,41996350,257776911,77332711,91252238,105474350,119713631,133588080,119713632,259762522,77332713,64185662,52335501,41996352,33052920,33052921,41996350,52335500,64185660,77332711,88323324,88323322,88323323,102318936,116411348,261426375,119713632,260971412,28545068,28544652,21321091,21321090,28544651,28866293,28866292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8410482, s2 = 3555278, dlinesl.size( ) = 44 s1 = 13455549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8371456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6603292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8440542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699111, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2366088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8913896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8913896, s2 = 14566028, int(edited[s2]) = 0 s1 = 8913896, s2 = 14566028, d1 = 11, d2 = 15 Dl.O(d1) = 223836714,223836719,221349049,221349050,223836721,225993002,227873934,225992992,225992991,227873936,225992986,225992985,225992990,225992980,225992981,225992982,223836698,221349035,218444278,214986419,210781975,263041058,192059889,183514894,272785292,199412786,205634743,205634779,199412826,199412825,264431665,210782017,205634783,205634784,210782019,214986473,218444332,221349074,218444325,214986467,214986466,214986469,218444326,221349077,221349086,221349085,221349072,221349071,221349070,223836741,225993015,223836744,265517475,274394139,227873948,227873947,227873952,227873951,274586491,234576284,233497513,274586488,229526338,227873953,265824981,230994077,232309478,233497516,234576288,234496085,234496084,234496081,234496080,233411638,232217385,274685708,266074651,265950470 Dl.O(d2) = 218245740,221174697,218245745,264675765,264675763,210523153,205338781,205338778,199076513,199076514,205338780,205338784,199076519,199076518,205338777,199076512,264118135,273493137,162115008,162115012,149903440,149903441,162115007,149903430,136762839,136762840,149903432,149903436,136762846,122931924,108667666,94380442,80325180,80325179,80325166,270633459,80325171,66897266,66897265,80325170,66897268,66897267,259133867,80325165,80325157,80325156,66897259,269172232,26635229,19823468,14199949,14199950,14199974,9761347,6417986,4026339,2412751,2412752,4026340,4017489,2407426,1393023,1393024,2407431,4017497,6403249,9737318,14163259,19773467,14163238,9737301,9737302,14163240,255724195,26575713,34562623,29387598,28806436,26575707,19773463,19773462,21539530,28806427,26575710,26575709,26575618,26575619,34562533,37344443,37344444,28806420,21539523,21539522,28806416,23811260,254961682,255724200,74243076,87847505,84347554,70788676,70788675,84347553,98254926,87847503,87847502,98254936,84347559,70788678,70788677,84347557,98254933,112233003,98254946,84347566,70788682,70788681,84347565,98254943,112233015,126087983,119759797,119759796,260861741,105526117,91308081,77389021,64238112,64238111,258658278,58177316,70891495,77389038,77389037,257423866,105526137,119759822,126201204,112340742,98358186,98358187,112340744,119759804,119759805,133629819,119759811,119759810,133629825,146883086,133629818,119759803,105526121,91308084,77389024,64238113,64238114,77389026,91308090,105526126,91308087,91308088,105526128,119759809,133629824,146883088,159254322,170590071,164189300,152306152,258033664,112340691,112340692,126201154,256306292,163360093,174213502,175004870,164189302,164189301,175004868,184605359,259285078,192359782,271297616,175004873,184605363,192988785,200180351,205968438,199818843,199818842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8913896, s2 = 14566028, dlinesl.size( ) = 2 s1 = 8913896, s2 = 14566028, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8913896, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 10346025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346025, s2 = 10191070, int(edited[s2]) = 0 s1 = 10346025, s2 = 10191070, d1 = 29, d2 = 30 Dl.O(d1) = 39037416,30448006,23040191,16795352,16795353,23040194,30448011,31835821,40533573,37659454,257478783,270823209,258794240,30461690,39051275,47381059,37473757,28932279,28932278,256469783,39217223,30620043,23198463,16929622,11848776,7919288,5034880,3048504,3048505,5034883,7919294,11848787,16929641,23198489,30620084,30619927,30619928,39217087,49143652,60543199,49143659,256469763,255522761,257014453,49143612,39217044,30619889,255522755,7919258,5034868,5034869,255968659,39217045,260850403,105388071,271293272,62157890,50648722,40598790,40598789,50648720,62157888,60746191,52390262,42046206,33098033,33098034,42046208,52390265,52390269,256937468,33098003,33098004,42046166,42046118,42046119,256395402,33098039,42046214,52390271,64246122,77396679,270321654,64246093,64246092,258750460,257517592,42046112,42046111,52390127,52390300,52390177,42046155,33097997,25364367,25364368,33098001,42046162,42046135,42046136,52390165,52390289,42046227,33098052,25364399,18781466,18781468,25364401,33098057,256937476,33098046,25364396,25364397,33098012,33098014,42046177,52390145,42046124,33097976,33097977,42046127,42046182,52390219,64246060,77396716,74405291,258700642,77396668,64246076,64246063,64246064,52390233,52390234,64246080,77396729,81091506,81091507,77396672,64245990,52390171,52390170,64245988,77396670,91315614,77396664,77396665,77396726,77396725,258785668,101026828,101026829,259326882,77396706,64246044,64246045,60118341,60118342,72855318,86450729,91315642,80359535,66933612,54676891,54676889,55287927,67625911,81091512,95148908,105533587,119766866,270818058,77396708,77396709,91315637,105533612,91315644,77396724,259650393,114406712,114406713,271839004,114406708,105533604,101890812,87916583,87030481,73412777,73412776,66933605,66933606 Dl.O(d2) = 60095812,62071614,62071615,74869721,72833103,72833102,60629403,49228258,258209151,86987686,100973467,101890814,101890815,100383677,87916586,87916585,88505648,74869725,72833122,60095843,60095844,72833123,258215438,72833136,86428063,72833106,60095826,256982519,30193470,22803222,22803221,30193467,38777453,48699732,60095806,54680130,43937637,258507789,72833072,60095792,48699724,38777444,30193460,22803218,16586153,16586152,22803215,30193458,38777439,48699710,60095760,60095767,60664732,73412761,87030467,87030489,86428007,72833043,60095764,60095766,66004149,60095818,60095819,72833101,86428059,87030465,101026822,107946537,122373121,108700289,94413371,80359543,66933619,66933617,60095829,48699746,48699747,60095832,66004160,258383074,60095804,257607866,72833070,60095834,52478361,42123153,33166667,268139842,52478359,60664724,49263334,39336805,30738110,30738109,39336801,49263332,257219778,60664755,73412786,87030493,79372242,79372243,78473862,78473863,86428056,72833097,66004151,53933817,53933818,66004153,79372266,92513485,86428068,72833114,60095836,48699750,48699751,39336825,39336826,49263364,60664770,73412783,64155634,52304083,41963604,41963605,52304085,64155638,256666562,49263335,39336806,39336807,49263324,49263325,257219776,53933717,53933716,60664757,66004118,53933768,53204462,42755137,33725684,33725683,42755135,50144704,42755128,42755129,49263368,60664775,66004164,66004163,65189728,53204479,53204480,65189712,77865655,66004116,53933766,43406955,34305661,34305660,43406951,53933760,66004082,269092382,66004179,53933855,53933856,66004177,60664749,60664748,73412781,87030487,85164400,78473881,65189731,53204484,53204483,53933726,60664760,49263357,39336822,30738121,23318100,17053743,11963396,11963397,17053747,23318104,30738126,268415060,60664777,53933823,43407015,34305712,34305713,43407018,50144708,257829054,61626588,74405190,66004107,53933762,43406960,43406961,53933771,66004121,61626583,61626584,66004100,59383351,47993660,38081110,38081109,47498323,58878335,71598966,73412788,61626572,50144692,50144693,61626574,53933777,43406965,255915766,23318097,23318095,30738116,39336817,49263343,268649640,53933708,43406874,34305572,26427841,26427843,34305576,40123608,31444202,31444203,40123613,50144702,40123604,40123603,50144700,61626587,74405188,66004088,53933720,53933721,53933851,53933848,53933696,43406867,43406868,256710541,34305662,43406957,43406904,34305606,26427867,26427869,34305613,43406907,34305668,26427911,19690369,19690370,17606466,17606465,17606473,12427821,8399613,5420309,5420308,8399609,12427814,17606462,23952492,26427849,19690325,19690324,26427846,34305568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346025, s2 = 10191070, dlinesl.size( ) = 2 s1 = 10346025, s2 = 10191070, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10346025, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 2701970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2701970, s2 = 13459012, int(edited[s2]) = 0 s1 = 2701970, s2 = 13459012, d1 = 16, d2 = 22 Dl.O(d1) = 77406262 Dl.O(d2) = 2262867,2262868,3777636,6032538,6032539,9213801,9016085,5886483,5886484,9016087,13224565,18248434,24721688,25512439,18902254,18606710,13224542,9016070,9016069,12952454,268129919,24728594,32344279,32351005,256122718,18245724,18245723,14945624,10279790,6756153,4233685,4233683,6756148,10279781,14945608,20846100,28011832,32344291,41158980,46327486,46327487,48130767,53358814,42893143,33848637,33848639,42893146,35256179,29654780,22303101,16157366,11225595,7448447,4706074,4706073,7448446,11225592,16157360,22303090,29654762,38034645,30422652,23017425,23017424,30422651,268635338,33848633,33848632,42893138,269075071,256940321,29654748,29654749,255372558,27281604,35407268,29471899,22135797,16019574,16019573,22135796,29471898,37762886,29201479,29201478,25802425,25802426,32779620,32779621,25802511,19156052,19156053,25802513,33599512,38220760,33599412,25802431,19155999,19155998,25802381,33599343,25802399,25802401,33599354,25802388,19155972,19155973,25802389,33237669,25488430,25488429,33237667,25802454,19156013,19156014,25802456,256670525,53071600,42623962,33599424,33599421,42623961,53071599,65054144,65054180,65054179,78333202,65054139,53071541,42623900,42623901,53071543,58948568,47565831,37659727,29109843,21810793,15748690,15748689,21810789,29109837,268930655,53071586,42624046,33599517,25802517,19156055,19156054,25802514,33599514,42624043,53071657,65054212,78333254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2701970, s2 = 13459012, dlinesl.size( ) = 24 s1 = 10245941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10245941, s2 = 8153941, int(edited[s2]) = 0 s1 = 10245941, s2 = 8153941, d1 = 34, d2 = 33 Dl.O(d1) = 262467371,180738436,189632957,189633021,180738483,180738482,180738453,170609897,159275208,146904848,146904849,159275210,170609902,180738462,189632997,264053725,203872159,203872158,209343176,264626864,209343120,209343122,213831101,209343095,264053726,189632966,180738439,180738440,263716169,189632980,180738476,262467374,146904853,133651653,133651652,261432164,119781733,105548550,91330846,77412279,64262592 Dl.O(d2) = 257782734,63514591,51736738,41467733,32590702,24929129,18417921,13081874,8914318,8914320,6034615,3775228,3775226,6034642,9216472,13474943,268298049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10245941, s2 = 8153941, dlinesl.size( ) = 26 s1 = 6835357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6859595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6859595, s2 = 9204495, int(edited[s2]) = 0 s1 = 6859595, s2 = 9204495, d1 = 20, d2 = 4 Dl.O(d1) = 259355188,77449502 Dl.O(d2) = 91373692,105597432,119837340,274096168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6859595, s2 = 9204495, dlinesl.size( ) = 14 s1 = 2704193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2704193, s2 = 7207977, int(edited[s2]) = 0 s1 = 2704193, s2 = 7207977, d1 = 63, d2 = 151 Dl.O(d1) = 77498660 Dl.O(d2) = 264010732 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1661085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2704676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2704676, s2 = 6436052, int(edited[s2]) = 0 s1 = 2704676, s2 = 6436052, d1 = 62, d2 = 35 Dl.O(d1) = 53874496,65942256,79306751,77516574 Dl.O(d2) = 254368828,12334867,17494093,23832797,18776966,18776968,22554629,22554628,22554618,16377334,16377335,22554623,29911642,38469439,30763191,23340182,17635210,17635209,23981878,26957326,35037306,28239520,21040877,21040878,28239526,29262660,21941202,21941204,21941207,29262669,30763206,29877843,22521190,22521189,29877840,38314387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2704676, s2 = 6436052, dlinesl.size( ) = 18 s1 = 3015437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2705029, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2370950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2370950, s2 = 11374752, int(edited[s2]) = 0 s1 = 2370950, s2 = 11374752, d1 = 97, d2 = 86 Dl.O(d1) = 64366089,77533910,91465816,91465814,91465813 Dl.O(d2) = 271340797,127895786,141256351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2370950, s2 = 11374752, dlinesl.size( ) = 52 s1 = 8245117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2706041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13235071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14249021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14249021, s2 = 10213274, int(edited[s2]) = 0 s1 = 14249021, s2 = 10213274, d1 = 4, d2 = 7 Dl.O(d1) = 258049098,47095890,256320058,21428803,15435909,10671242,10671243,9277215,6076783,6076781,9277212,13551594,18990865,25603212,33367770,42356610,44770324,38048467,38048468,47961505,59352141,72085340,85671671,95601468,109803806,95601476,95601477,95601473,95601472,109803810,109803811,109803812,109803813,123940180,137618683,141950779,128589197,128589196,137618679,137618678,150615063,150615057,137618675,137618674,150615056,139899385,126536312,112673867,112673866,261105265,115633200,101592689,87625460,74021380,257629091,39743181,31065175,23581288,23581289,31065173,39743177,39743178,39187118,30589678,23171399,16907940,254814297,5026788,5026789,7907755,5026678,5026677,7907753,7239879,7239881,10941254,7907834,7907835,11832684,255059743,10944830,15796481,11832698,7907843,7907844,11832700,16907855,15805070,10951888,10951889,12301406,8308452,8308451,12242078,10738773,7095198,4467319,2683906,1771675,1009656,568980,568981,1009659,267771859,1106436,1937034,3293505,5357820,7238427,10939404,8241376,8241375,7723613,7251883,4573150,2751114,1594694,906537,511209,286524,158330,158331,286526,511214,906547,1590621,904263,510001,509994,509995,904254,566178,566179,1004745,1763637,267827639,1593477,1593478,267788735,905891,267744253,286365,510879,905888,1593475,2749286,4570619,7248583,10952293,15805554,268394595,29801828,22435625,16267967,11310945,11310946,11171008,11171009,255894597,28974896,21697341,15657401,10838361,7164756,7164755,10838359,9007193,9007194,13213580,18594138,25151057,32858018,255242544,23627582,31114198,23627589,17311599,17311600,23627591,254781496,8217510,5287401,5287404,8217518,10833468,9190495,9190496,13441033,9190484,6016109,6016108,9190480,13441024,10833551,7161351,7161350,10833549,15651908,254719580,17312186,15925020,11047991,7323028,7323027,11047988,15925018,22025983,22107365,17643333,17643332,21638614,15917589,15322935,11104595,7364392,4651919,2802243,2802241,4651931,7364414,5861671,5861670,8978301,10838407,7364463,4651973,2802267,2802268,4651976,7364466,11104695,255449457,29440870 Dl.O(d2) = 47919502,47919503,59313007,64397390,52523525,42165113,33204935,33204936,42165114,42165119,33204938,25457692,25457693,33204940,42165122,269504217,52523529,52523527,64397393,259032275,64397405,52523539,52523538,52523536,52523535,64397400,77565811,77565815,91496992,91496993,77565812,77565813,91496996,260276153,133824881,133824871,119957180,119957176,119957175,119957183,119957184,133824874,147070073,147070075,147070074,159445694,159445697,159445696,170785283,263348229,197466139,192982935,184598658,174997512,260916382,139568628,126193371,112332625,271764965,152298530,164181721,262013502,192982939,200175287,206248230,209339709,213828078,217510650,217510654,213828082,209339715,203868214,197313555,197313554,203868213,203868207,203868205,197313550,189628365,189628364,180733229,170603985,159268672,146897673,133644372,261431539,159268675,146897675,260863411,105541504,91323888,77405363,64255518,52400061,42056076,42056077,52400063,258396963,91323891,105541507,119774711,133644374,146897679,159268682,159268680,159268679,159268655,159268656,170603972,180733216,189628355,187392348,187392347,189628357,189628358,264053385,209339706,208063090,202289860,195423125,187392346,178164558,178164557,187392344,178164556,167708449,262834731,262364463,156104775,167708447,167708446,156104782,143569951,130242223,116405583,102313228,88317640,74690021,74690020,88317638,102313225,116405578,260738787,102167178,88176523,74561815,61778397,50298973,47829509,40369031,31674417,24164787,255197259,9851372,8553690,254419247,2046293,254419243,8217028,8216962,8216963,8216955,8216957,12088909,12088910,17192010,21906400,15825394,10966718,10966719,15825396,20830510,14932174,14932173,12509432,8474426,8474425,12509421,17687586,23626559,17310758,17310757,23626550,21819939,15753561,15753560,15825343,21000046,15084330,15084329,21000044,28182938,36659516,36659485,28182902,254863870,10404287,10404288,15084312,11112988,7370487,7370484,11112981,16007164,22120937,254864144,46527078,36659533,28182952,21000054,15084342,10404304,10404303,10404302,10404301,15084339,21000049,28182946,36659525,46527066,39378858,31774034,31774035,38017545,37371388,254537204,254537206,12071217,17167772,23441742,30870174,30870192,30204977,22813433,16595195,11574014,7703955,7703956,11574017,16595204,22813442,16595279,16595278,22813556,30205148,31353552,268444978,38789798,30205022,30205023,38789799,48149346,38790089,30205339,30205338,22814215,22814216,28110325,22814380,16595900,11574469,11574470,16595902,22458881,16290840,16290841,22458883,25859756,19202530,19202531,25859757,33666105,38901237,268178860,37392918,28852661,255759478,37392923,255337288,17684276,17684407,24035889,28430912,28430913,36929589,46807929,40225304,40225305,268177174,58175329,46807942,36929601,36929602,46807944,53409448,42942886,33896576,26071344,19387424,19387423,26071342,31243701,26071361,19387432,13868731,9514118,6240128,6240129,9514119,13868734,13868741,13868742,19387451,26071385,33896616,42942936,42942937,44359030,254215888,26901999,29206959,26071379,19387446,19387445,19387440,19387441,26071375,33896610,42942928,53409480,65413543,61365514,49884495,39861837,31179195,31179196,39861838,257664718,84863661,84863666,84863664,81216457,81216458,76113653,63108152,63108153,67749956,55409466,44561832,35183498,27094750,20195655,20195656,27094751,35183500,36993926,28982933,28982934,37526891,46872617,46872618,58240243,59624822,48237746,38327839,38327840,36458368,36458369,46311163,47631571,37709299,29149007,21840928,21840929,29149010,36993948,28496468,21279110,255822565,36993945,46872628,58240248,57655718,46311135,36458333,36458331,46311132,46311145,57655728,47763447,256345638,29274298,36715056,42165186,33205027,25457764,25457763,23649291,17332310,12207173,12207172,17332307,23649287,31136953,39819552,33205017,25457757,25457755,33205013,42165190,50245344,40225118,31538602,25076126,18533314,13168519,13168520,18533318,14922894,12338566,12338567,15883242,11010270,11010271,15883244,21978148,22850855,30244939,38828326,36713539,28220823,21025682,15101605,15101606,255370396,36713540,46601750,57978888,47114794,37217638,37217637,47114792,58493047,58692245,47301866,37392657,28852403,21580274,15556814,10760450,7109750,4476515,2689484,2689485,4476518,7109755,10760461,15556804,10760441,7109743,4476510,4476509,7109741,10760438,15556801,21580263,22816299,16597495,254796505,254244197,1703865,2938325,4876423,7705028,11575680,16597448,11575629,7704995,4876395,4876396,5542438,5542440,4875688,4875689,7703846,11573811,7704990,4876391,2938301,1703850,1703849,2938299,4876388,7704984,255115189,16226943,11280427,11280428,16226948,22384978,22384747,16597425,16597426,22816214,22385335,22385336,20021103,20021102,16227151,11280600,11280601,255469203,29744381,38313078,48222973,59609847,72344152,85938021,99893154,260603435,99893167,99893168,113911653,127786149,141142998,153815994,273690382,165597241,153815993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14249021, s2 = 10213274, dlinesl.size( ) = 2 s1 = 14249021, s2 = 10213274, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14249021, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 2706733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2706733, s2 = 12272425, int(edited[s2]) = 0 s1 = 2706733, s2 = 12272425, d1 = 34, d2 = 39 Dl.O(d1) = 77568250,64399958 Dl.O(d2) = 84899119,259934569,261113737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8441728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8441728, s2 = 9706743, int(edited[s2]) = 0 s1 = 8441728, s2 = 9706743, d1 = 6, d2 = 6 Dl.O(d1) = 133829503,119962020,105726313,91501789,91501788,91501787,77570742,64402604,52529156,42171193,42171192,52529154,64402601,77570739,77570738,64402600,64402599,77570732,64402597,64402598,77570735,74698249,61904616,50414073,40379461,40379460,50414071,61904612,70699812,57982106,57982107,70699814,70699817,61904594,50414054,50414053,57982110,46605158,46605157,57982108,50414066,40379458,31685663,31685662,40379456,50414063,61904604,50414075,50414076,61904621,61904623,74698254,88325965,102321620,102321619,116414022,130250978,130250958,116414001,116414002,130250961,143579335,140286485,140286484 Dl.O(d2) = 133829503,119962020,105726313,91501789,91501788,91501787,77570742,64402604,52529156,42171193,42171192,52529154,64402601,77570739,77570738,64402600,64402599,77570732,64402597,64402598,77570735,74698249,61904616,50414073,40379461,40379460,50414071,61904612,70699812,57982106,57982107,70699814,70699817,61904594,50414054,50414053,57982110,46605158,46605157,57982108,50414066,40379458,31685663,31685662,40379456,50414063,61904604,50414075,50414076,61904621,61904623,74698254,88325965,102321620,102321619,116414022,130250978,130250958,116414001,116414002,130250961,143579335,140286485,140286484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8441728, s2 = 9706743, dlinesl.size( ) = 2 s1 = 8441728, s2 = 9706743, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8441728, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 9422472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8325737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8325737, s2 = 7568132, int(edited[s2]) = 0 s1 = 8325737, s2 = 7568132, d1 = 10, d2 = 13 Dl.O(d1) = 259330135,113035203,126888256,119273917,105081011,90901253,77021688,63910428,52091872,41778627,256107959,18594164,13213599,9007203,5879769,5879770,9007205,9007201,255245413,13213590,18594148,25151067,32858025,41778584,52091839,63910399,63910398,256540832,88174192,268445810,61775684,50296119,40275331,31590082,31590081,40275329,50296116,61775679,74559247,88174183,102165027,116226029,130136534,143467336,156006238,167615676,167615678,156006240,156006241,167615679,162107465,261072456,108656800,94369048,80312812,66883750,54626238,43883830,34612562,256360685,15786502,10936576,10936575,15786499,21858657,29167869,37727885,47649663,59050824,52465047,42112478,268491483,18825698,268491485,42112480,46342285,57690076,65751985,60625291,60625292,267948028,24214964,24214963,30069958,23283650,17024337,17024338,23283651,30699298,39296943,49224033,49224034,60625288,73370990,260072417,128928464,140154783,260155548,258916484,112950567,98961505,85036614,71464722,58735091,47347316,254875852,21625065,15594332,10787867,7127619,4487343,4487342,7127616,10785116,7659802,7659801,254082354,4854710,7672469,11532932,254145942,30145879,30145878,30145879,254439818,60045192,72783966,86379976,100337083,114361580,128238563,141588851,141644339,154298227,154245425,154245426,141644338,128294630,128294628,128294627,141644332,154298224,166049123,176687826,186102681,184864823,175310921,164545438,152706107,259424272,112796272,98803777,84875183,257568176,84554580,70991476,58276979,46911888,46911887,44564874,256227707,27097726,35186562,44564871,46911880,46911881,46911889,58276982,59101389,47703116,47703117,59101391,71840551,60120842,48725855,38805148,38805147,40211100,48725856,47939231,47939230,58276985,46911891,37034718,37034719,46911893,256364431,21896681,21896680,29210677,37772527,29210734,29210733,29210676,21896678,15818261,10962240,10962239,15818256,21896670,23297668,30714625,39312596,48176783,59563444,59563472,48176818,38267189,29701033,22346874,16197098,11259236,11259237,16197100,22346878,29701040,38267199,48176829,59563481,72297863,85890635,78440229,65157368,53172551,42722817,42722816,53172550,53172553,53172552,64846950,52922114,52922113,48042440,38129315,256933083,59434384,72172961,85767263,259989365,113736028,99721377,85767261,85767262,99721379,113736032,127604952,127604951,140954512,260057546,150443525,142076850,128717582,114817654,100765598,100765599,109481132,109481131,114817661,109481136,95227258,81170988,81170987,95227257,109481135,256622570,91518736,77587788,255646060,255646058 Dl.O(d2) = 254438080,25477545,254295546,268139106,47868441,37950359,29385809,22055822,15952152,11070563,7340617,4636667,2792918,254164775,921348,519481,519480,921365,1620103,2792993,2791601,2791600,254521921,11064593,15944731,15955479,22059774,15956964,11074310,268082119,22061351,22061922,22061921,22047837,255882565,22060500,29376119,29376118,22070333,15965419,15965417,22070330,22061128,15956767,15956768,22061133,25542832,29377570,29377571,29359547,22029226,15928128,15928127,18886483,18886485,21975710,15881207,11008839,11008838,15881200,21975687,29303055,29623313,23132766,16872582,11803418,11803419,16872584,18842742,13424796,13424795,18842740,25439071,33184352,42143822,52502177,43362198,34262287,26384607,24215680,17845319,14096437,9695277,6376513,4000765,4000764,6376512,6891619,4326261,2588220,1492037,1492038,2588222,4326264,6891625,10454933,15160074,21104967,28315092,36811425,46694729,58067343,65960081,64542980,52643819,52643818,64542978,77724940,91652636,105860636,120073201,133916462,147140931,137407348,137407347,260524920,126385875,259923544,149542366,161847211,152482527,260524918,126385855,112514932,98519869,98519868,112514930,99525777,85579237,71992701,59256262,47860072,37941061,37941060,29375324,22044529,15941618,15941617,15941619,15941615,11062145,11062144,11062141,7334813,7334814,11060143,11060142,14507187,14507186,20217014,15964068,15964069,16195188,16195191,22344377,29698092,37924751,37924752,37872967,37871402,29301862,21974538,21714265,15671338,15671339,21714271,22271708,16130007,11204970,11204969,255460801,29623022,38190059,48101687,59490052,59490053,59490054,258750731,85817760,99770586,113783939,258698872,134147800,120318970,256342748,64813024,52891821,42485256,37431179,37431180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8325737, s2 = 7568132, dlinesl.size( ) = 16 s1 = 8066722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349631, s2 = 8066723, int(edited[s2]) = 0 s1 = 10349631, s2 = 8066723, d1 = 31, d2 = 23 Dl.O(d1) = 67650308,67650307,256745164 Dl.O(d2) = 255745095,268175277,27003215,35088765,44465071,55310943,67650324,81116902,95175293,109431424,123624930,137357168,261191884,162528671,150398393,137357172,123624938,109431430,109431433,95175314,81116920,67650342,55310942,259160099,81117102,259281126,46966759,37085454,256406647,29762064,29108270,255428521,8842282,5762583,5762584,8842284,12988671,18298608,24779161,21809473,15747719,10906673,10906672,15747717,256357257 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15232055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15232055, s2 = 8378217, int(edited[s2]) = 0 s1 = 15232055, s2 = 8378217, d1 = 22, d2 = 9 Dl.O(d1) = 128719867,114819908,258823580,73173782,60426846,49023162,39094211,39094206,49023156,60426833,63044376,258344323,74189713,257641897,39913922,39913923,39913876,256512795,23755043,17428655,12284252,8296019,5351901,5351900,8296016,5351904,3289228,254399865,8296021,12284258,16274601,16274602,12566310,8521417,5520095,3406826,2009631,1149131,1149133,1484644,1482941,1481031,837200,836911,471585,264933,146622,146621,148264,148263,267696,475943,474825,471641,264968,264969,269990,149674,82332,82331,82365,80943,44296,44295,80938,81481,147171,80902,80903,81461,148177,267576,473643,479264,844542,841103,841102,474580,474579,838553,838551,843447,843448,1483048,1483047,849021,849023,1481892,838709,472776,472777,838713,1483103,845791,841135,474325,473263,473262,837020,471667,264985,146653,80587,44126,44125,25024,13991,7696,4103,2113,1031,1027,2098,4068,7637,13850,24744,44555,44264,24587,24586,44259,80858,147089,265693,472784,477631,254077728,846515,254157389,254328663,6898961,10466225,10345880,10345881,15017945,14166730,9739419,6404418,6404419,9739425,13438166,13438167,18861127,13521018,13521016,15280991,15280992,15472571,16188205,21228628,21228629,21228516,15258322,10527025,10527026,15258324,12434588,8403843,8403844,12434592,15258581,15258580,13514275,13514276,15298930,21261947,23435102,23435100,18959242,13523177,9254618,6061072,3792252,2271610,2271611,3792255,6061060,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794862,5939710,9081670,10570023,10564091,8371139,8371136,12387798,17558596,21270711,21270712,17157294,12060784,8109324,8109323,12060779,17154449,15137702,10440445,6882740,4320658,4320659,4330144,6898053,4340141,2598329,2591188,2591187,4320325,4320326,2584447,254328699,2591689,4320674,4323061,4323062,2590584,2590583,2584262,1494513,846741,478112,478111 Dl.O(d2) = 261978403,154717601,262296128,128719927,128719928,263198341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15232055, s2 = 8378217, dlinesl.size( ) = 18 s1 = 11657686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3019336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3019336, s2 = 6836422, int(edited[s2]) = 0 s1 = 3019336, s2 = 6836422, d1 = 7, d2 = 9 Dl.O(d1) = 91646139,77718925,64537494 Dl.O(d2) = 259038385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3019336, s2 = 6836422, dlinesl.size( ) = 8 s1 = 8162020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8162020, s2 = 7803740, int(edited[s2]) = 0 s1 = 8162020, s2 = 7803740, d1 = 5, d2 = 9 Dl.O(d1) = 1569387,2263083,2262374,2262379,3776502,254652013,13477486,255287302,13477486,256649117,52644321,64543464,77725488 Dl.O(d2) = 1282855,1282852,1282735,1282732,1284256,1284253,2212692,2990207,2990209,4953638,3673382,3673379,5883714,7214360,7214362,10908608,15751599,18158567,17345996,12219227,12219228,17345951,18158331,18158328,18287540,17501981,12340990,12340987,17501964,12341064,8337484,5381372,3309172,3309169,5381353,4947449,3688305,3684903,2205764,2205762,3682623,3682621,3680283,3617992,2160497,2160495,2160309,2160311,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282838,1282817,1282816,1282538,1282535,2208998,3689809,5905197,9037719,9439663,6187794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8162020, s2 = 7803740, dlinesl.size( ) = 8 s1 = 14163162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163162, s2 = 14070924, int(edited[s2]) = 0 s1 = 14163162, s2 = 14070924, d1 = 13, d2 = 20 Dl.O(d1) = 273105837 Dl.O(d2) = 140821480,147150603,133926706,258286890,77732730,64550085,52650509,256039308,38414977,38414978,48324909,58769681,48525912,38610367,30036093,23126685,23126682,28875637,37417258,29890045,22535520,22535521,28933726,28933724,28937404,37479399,36794328,28297212,28297211,35228987,27134673,20228440,14515625,14515626,20228445,27134685,28297128,21089553,21089554,28297133,36794216,40471039,31776319,31776318,40471035,36794192,34693638,267992852,34082618,26222071,26222072,30544995,30544965,30544967,36794220,28297135,28297136,36794223,46680295,47382586,37475258,28933736,21656019,15620951,15620952,21656021,28933738,37475262,43968869,34693644,34693643,43864550,46680378,49813143,39792576,31112079,23625660,17310059,17310058,22080590,15974982,11089650,11089651,15974984,11798465,11798466,16866859,23126666,21682577,21682576,23625649,255156326,23126686,30545015,32304386,32304385,255156360,51297260,41116142,32304381,32304382,36794251,28297155,28297156,36794253,46680314,58054789,70772979,255544010,49722862,47436811,37528968,32473472,29845212,29845213,28984667,21701802,15661296,10841665,7167237,4514144,2712429,1571271,1571270,2712426,4514138,7167226,10841645,15661065,10841503,7167135,7167134,10841138,7166924,7166925,10841143,7167179,7167180,10841568,15659691,10840645,7166602,7166600,10396087,10396088,15073035,15661186,21701665,18557783,13186465,13186464,18557782,25107231,28981936,21699614,21699616,25107047,32809422,32809631,25107219,25107217,32809418,32809417,41729889,41729887,40009333,31331084,23839439,23839440,31074496,23591180,17279289,17279290,17435136,17435134,15659972,15659973,21700031,28982444,37526392,41729879,32809407,25107037,18557626,13186364,13186365,18557628,25107041,32809411,41729877,32809403,32809402,256544622,32809395,25107029,268483941,41729863,40256811,31569347,31569346,37313174,41729978,50277997,50277996,49395943,39467486,30863539,23434048,23434049,29734449,22376879,22376878,29734459,38302206,256177784,17158461,12061920,12061919,12061981,12061982,17158559,23434206,255003138,23434089,29271337,21948568,15858797,15858794,21948565,23434285,17158631,12062032,8110262,5196006,254260071,1059309,1059307,1856036,3170275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163162, s2 = 14070924, dlinesl.size( ) = 18 s1 = 13406949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6675439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2712112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9706313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13361311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2378591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6739252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6739252, s2 = 14080611, int(edited[s2]) = 0 s1 = 6739252, s2 = 14080611, d1 = 30, d2 = 46 Dl.O(d1) = 257913693 Dl.O(d2) = 6896629,4329211,2589938,2589937,2580759,1486761,841920,474817,266936,266937,264921,264920,471566,836886,843638,1489918,254157597,849238,254221257,841128,476563,268113,148525,81670,81671,148526,268115,254118715,473255,254118485,1484153,843092,475630,267440,148074,148075,267442,475633,269184,149197,149198,267458,148089,81412,44552,24741,13849,13850,24744,44555,44264,24587,24586,44259,80861,147097,265701,472798,837771,472137,265264,146827,146826,265261,472130,268620,148855,81860,44799,44800,81865,148859,266037,147301,80973,80974,147307,147274,147273,265973,473248,266644,266646,266539,147569,147570,149208,82051,82052,149213,269023,266471,149057,148068,81401,81399,148057,254096987,843042,1489385,1489445,845901,477575,477574,845899,1493538,1493274,845623,477311,268576,268575,475394,268723,148916,81896,81894,148915,268719,474312,474311,841048,837074,477722,477723,846142,1488521,2583406,2575256,1483200,838814,472885,265761,265763,472890,838825,1483215,846617,842556,842554,845840,842579,475218,267175,147924,81323,81322,147917,267163,475198,842535,1488873,2583821,254221589,1489344,1489380,1489381,1493818,846151,477730,477727,475152,475151,475481,475480,842882,844245,844248,844307,1491135,2584244,2591694,1498894,1498892,2586683,2580946,1486942,1486518,840910,840909,254119944,844337,1491191,1494194,2591261,4330164,4340162,6881041,4319195,4319194,2592095,2592096,4331652,6863245,4307321,2575551,2575552,4307322,2586189,1490726,844039,476295,267938,267940,476302,844051,846956,1314127,1314128,2265332,2591500,4322989,4311812,2578345,1485101,1485104,2578352,2579251,2578375,1485116,1485118,1490630,1490629,2586050,2586323,1490815,1490813,847048,478280,478278,847040,1494977,2592168,4311638,6869681,6865106,6865108,10414038,6872856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6739252, s2 = 14080611, dlinesl.size( ) = 2 s1 = 6739252, s2 = 14080611, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6739252, Dl.E( ) = 66, 1.72e-05 seconds used appending s1 = 9484216, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6709936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13200675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13200675, s2 = 2839180, int(edited[s2]) = 0 s1 = 13200675, s2 = 2839180, d1 = 45, d2 = 17 Dl.O(d1) = 25302197,29950858,22587205,21360354,15382168,15382166,11820776,11820774,16892439,23153659,23289349,17031508,11945995,7996021,7996019,11945992,17031501,23291280,25302359,18727539,18727540,22078126,255528164,256476518,77311722,256476418,51363311,268661514,39738828,49757370,49757410,49231515,49231514,49232055,60633044,60007795,60007778,60007777,63044421,51363301,41177119,41177120,51363307,49757400,39738858,31061047,31061046,32361268,32361267,32361262,32361261,41177112,49065819,39135471,30536556,30536555,39135466,41971738,33028612,33028611,41177094,32361255,32361254,41177104,42711584,42711582,49231479,39304743,39304744,31061060,23577524,23577525,31061062,39738885,49757425,51363277,52312233,41971729,33028606,33028607,41971731,49231470,39304731,39304730,48617747,38702941,30126089,30126088,25302345,18727534,18727535,25302347,30126094,22743612,22743613,18864501,18864500,25464746,33212335,30126025,30126028,38702850,48617654,60007711,60007753,60007752,59324572,47932595,47932596,44635569,35251117,35251111,27152553,27152551,35251102,44635548,55485625,48617604,48617605,60007669,60266691,60266689,72742831,72742832,64403469,52530011,52530012,42711577,42711576,48874263,59942714,48618396,48618395,49065907,60469461,72742865,72742863,86338902,86338903,87056574,87056598,73438565,73438564,74019908,258832258,72741735,60006031,60006032,72741738,86338280,86994609,86338939,72742852,60007765,60007767,60690126,49288701,49288702,60690127,73438486,87056552,86337395,72740548,72740549,72740542,60004362,48613456,48613459,60004366,60005580,48614848,258099582,30760551,32602152,41480065,39361484,39361485,39361584,39361490,38699043,38699044,38699879,30122661,22740081,22740082,30122666,30121773,22739363,22739365,30121777,23337787,23337786,30760533,39361470,49288552,39361724,30760691,30760689,39361713,48614659,38699152,30121952,30121953,38699156,48614789,49288530,48614526,38698941,38698940,48614521,60005321,72741148,60005222,60005220,48614715,38699093,38699092,48614713,48615233,48615234,60005935,60004709,48613884,38698392,30121447,22739177,16531772,11521715,11521716,16531776,255933569,38698414,39361417,49288475,47445457,38702587,38698739,30121704,22739326,16531876,16531877,22739332,30121695,22739322,22739321,16531938,11521811,7664334,4849237,2922059,2922058,254543281,11521792,16531903,22739389,30121741,22739345,16531884,16531885,22739349,30121746,38698850,38699059,48614663,48614730,38699107,30121918,30121919,38699109,38702203,268412831,16535147,16535148,22743013,30125435,30126217,30126218,38703060,48614442,38699768,38699767,48614572,60005370,60007330,48617305,48617306,58831520,55220192,44369009,44369008,48615336,60005489,60005488,257556951,38702062,30125295,28992241,28992240,37537443,38702083,30125309,22742899,16535061,16535062,22742901,30125314,38702094,48616955,48616923,38702051,30125289,30125290,30125214,30125213,38699979,38702191,38702192,47445468,37537427,37537426,38699397,38699395,30122173,30122175,22742912,16535067,16535069,22742921,22739398,22739397,30121837,22743395,22743396,30125476,30121941,22739449,22739445,30121932,38699127,38699725,30122530,30122531,38699729,30122760,22740147,22740144,30122715,30125094,22742686,22742685,30125091,30122598,30122596,30122797,38700009,30125403,30125404,37537435,28992235,28992234,37537432,37537463,37537465,30125511,30125265,30125263,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,30125413,30049176,22739726,16532165,16532164,22739723,22740135,16532519,11522255,11522254,11522247,11522245,16532507,22739666,30122207,22743027,16535168,16535169,16535123,16535124,16535118,16535119,16535129,22742992,22743402,30125443,22743161,16535297,11524654,7666600,7666599,11524651,16535291,22743152,30122718,22742971,22742970,16535817,268232701,16532466,255491745,11524568,7667117,4851305,4851307,7667122,11525155,16531994,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16532695,16532694,11524700,7666647 Dl.O(d2) = 85104868,85104864,259947533,260102852,33185500,29309610,21981961,255234020,11012573,15886432,13260463,9047979,9047978,13260461,18649040,254900102,29309540,25440004,25440005,29309596,21981954,21981955,29309601,33185223,33185224,25440178,18843801,13425725,13425726,18843804,25440185,33185420,38070963,38070964,47983076,256603260,37878407,37878406,47802159,47049590,37159046,28643237,21860116,21860114,18843759,18843760,25440115,33185353,257198031 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6470361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6470361, s2 = 9490463, int(edited[s2]) = 0 s1 = 6470361, s2 = 9490463, d1 = 0, d2 = 0 Dl.O(d1) = 254889701,18146380,24592124,32178491,256750551,35152977,43196752,35152972,35152973,44529104,256648546,34110496,43196751,44529109,55375215,44529119,35152985,35152986,44529121,55375228,67714961,75042527,270415183,95235600,260280990,89439679,89439678,95235582,95235583,109488770,260281384,77799085,91726809,105934250,93330984,79199964,65837931,53777820,43262039,43262040,53777822,65837935,79199967,255220478,64055195,64055194,65110885,78393853,92430724,92430707,78393838,78393839,92430709,92430719,78393849,65110875,53125068,53125067,65110873,269529995,42752690,33723406,33723407,42752692,53201682,65186764,78470834,92430712,92430711,92917882,92917883,92510504,92510505,259923883,84725373,71155717,71155718,84712222,71142279,58420481,47045609,37154859,28639204,28639203,37154847,37154848,33744611,255258962,268144018,13885989,9528286,9528285,13885986,19408885,256171499 Dl.O(d2) = 254889701,18146380,24592124,32178491,256750551,35152977,43196752,35152972,35152973,44529104,256648546,34110496,43196751,44529109,55375215,44529119,35152985,35152986,44529121,55375228,67714961,75042527,270415183,95235600,260280990,89439679,89439678,95235582,95235583,109488770,260281384,77799085,91726809,105934250,93330984,79199964,65837931,53777820,43262039,43262040,53777822,65837935,79199967,255220478,64055195,64055194,65110885,78393853,92430724,92430707,78393838,78393839,92430709,92430719,78393849,65110875,53125068,53125067,65110873,269529995,42752690,33723406,33723407,42752692,53201682,65186764,78470834,92430712,92430711,92917882,92917883,92510504,92510505,259923883,84725373,71155717,71155718,84712222,71142279,58420481,47045609,37154859,28639204,28639203,37154847,37154848,33744611,255258962,268144018,13885989,9528286,9528285,13885986,19408885,256171499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6470361, s2 = 9490463, dlinesl.size( ) = 2 s1 = 6470361, s2 = 9490463, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6470361, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 9125202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6837429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2715469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1724485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2663089, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2383099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2716851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10171496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2384939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8377006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8377006, s2 = 1331344, int(edited[s2]) = 0 s1 = 8377006, s2 = 1331344, d1 = 13, d2 = 0 Dl.O(d1) = 261967424,106090890,91895895 Dl.O(d2) = 33459720,256122194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8377006, s2 = 1331344, dlinesl.size( ) = 18 s1 = 9681934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233411, s2 = 6838234, int(edited[s2]) = 0 s1 = 13233411, s2 = 6838234, d1 = 0, d2 = 9 Dl.O(d1) = 6850919 Dl.O(d2) = 259055981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233411, s2 = 6838234, dlinesl.size( ) = 2 s1 = 13233411, s2 = 6838234, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13233411, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6680266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6680266, s2 = 14484436, int(edited[s2]) = 0 s1 = 6680266, s2 = 14484436, d1 = 40, d2 = 51 Dl.O(d1) = 257256547,270587737 Dl.O(d2) = 3731687,3731686,5967574,9120214,6128315,3834211,3834214,5234085,3194593,1869939,1869943,3194607,5234119,6254543,6254545,9534376,13894625,254670498,19423486,19423485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6680266, s2 = 14484436, dlinesl.size( ) = 26 s1 = 8429948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8429948, s2 = 8104998, int(edited[s2]) = 0 s1 = 8429948, s2 = 8104998, d1 = 20, d2 = 22 Dl.O(d1) = 272018994,106578758,259062090 Dl.O(d2) = 257475560,256740018,46869243,52071761,61960923,256275210,40166398,40166397,37696972,29136262,21829004,15760998,10915344,7218935,7218936,10915347,15761000,21829011,29136268,31450160,23957395,17610083,12430277,8401177,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,12713580,12713581,17941844,23310280,23310281,22222111,22222110,29568557,31471016,25333332,25333331,33062351,26677911,26677910,32837414,25132330,18579244,13203424,13203423,18579241,25132327,32837408,33301593,32838142,25132993,18579692,13203681,13203682,18579694,25132995,255566138,23360665,27140162,27140165,29322113,21993152,21993153,21117943,21117944,28328218,21605230,21605229,28848721,28328051,28328053,36823642,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29321490,25769581,19129707,19129709,19129723,13658881,13658880,19129720,25769603,29320233,21991684,15894144,15894145,21991685,19457561,13924836,9557897,6271699,3926832,3926830,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,2767600,1604481,1604480,2767597,4599996,7293996,11017622,15892626,21989476,21989556,15892681,11017461,7293912,7293913,11017466,13749409,9420785,6172707,6172705,9420779,13749390,19243565,25904489,26127753,26127755,31409495,23919491,17577952,17577951,23919487,31409490,267965070,13925332,9558183,6271841,3926959,3926958,6271918,9558339,9558015,6271752,3926865,2350877,2350878,3926868,6271756,9558021,13925025,256694017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16306887, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8217403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8217403, s2 = 6780798, int(edited[s2]) = 0 s1 = 8217403, s2 = 6780798, d1 = 31, d2 = 22 Dl.O(d1) = 25613453,19000179,19000181,25613458,33378810,31492425,31492426,40177910,36953081,28452732,23972487,17624213,12443707,12443706,17624204,23972468,31468074,40151916,50177215,50312076,58601417,47211579,47211578,40160849,37304987,37304986,31481843,31481842,39244832,31492776,31492777,40178223,49266065,41657739,32747265,25056027,18518190,18518191,25056031,32747274,41657766,51965541,61670041,68111273,68111272,61664092,50178310,40153119,40153118,40244962,50194036,55708283,47987773,38074933,29510590,29510591,38074934,31600927,31468758,31468756,40152626,40152636,40152635,48865217,38945521,30359355,254861290,28245469,36741099,46629056,50183002,268258062,50194569,52767365,64681933,74462041,74007237,61226398,52652499,52652500,57674057,51965556,255575348,33097176,25363629,18780877,18780880,25363634,33097184,29922779,29922780,38303743,29735763,29735762,29735573,22377817,16221659,16221658,22377816,29144758,21837137,15767668,15767669,21837143,16313872,16313873,22486092,29851432,37967432,33095118,25361692,25361691,29403474,254856808,256960276,19658652,19658651,17121402,17117932,17117933,14195601,14195602,254539510,254987639,6599048,4134252,4134251,6599044,10041525,14593125,14180785,9748688,6410150,4021453,4021454,6410145,9748673,14180758,19797419,25761573,19122380,19122382,19122376,268501103,257817003 Dl.O(d2) = 258383585,257179733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2388778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163262, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163986, s2 = 9342903, int(edited[s2]) = 0 s1 = 14163986, s2 = 9342903, d1 = 0, d2 = 0 Dl.O(d1) = 57706601,46357506,36499439,28036287,20868264,15040787,10368044,6830475,4285299,4285300,6830476,7031732,10268431,13304057,9085714,5943040,5943041,9085716,13304059,12097132,268104963,20846305,254998005,10280024,9093939,9093940,13313234,13319573,9099707,255652107,18714798,15027716,10355516,255006413,10328995,6797395,6797394,9101561,267858869,3724227,5955213,254516967,4587348,7274066,10988601,15854436,21942954,29264619,37830320,47752706,37830319,29264617,29264616,37830318,47752704,47752669,38209305,29642660,22290796,22290795,29642658,38209303,46470547,46414396,256602286,258101543,85471671,71887193,71887192,71887196,71887197,85471674,86187844,86187843,86187842,72590238,72590239,64064302,64064301,72590245,59852550,48461945,48461944,59852549,72590244,64186737,52336539,52336538,64186735,77333825,64186758,52336556,41997340,41997339,52336536,52336537,64186734,77333824,91253352,92356476,78322794,65042859,53059953,53059954,65042861,78322798,85028129,85028130,71863301,59124745,58725601,258072673,58109433,46739267,36857602,28359647,21144509,21144508,28359646,36857600,46739264,58109429,61907074,50416609,50416608,61907071,74230380,74700712,88328483,79243837,65879467,53811332,43286250,34189254,26317489,19592169,14037724,9651742,9651741,14037723,19592167,23888480,23888481,31385055,34180193,34180192,43276660,46582239,46582238,258017249,58920115,58920114,71641382,65381220,255978052,47538670,257476923,71641384,85206720,99129480,113120391,107931405,93493423,93493424,107931406,122358685,136344120,260847910,130616127,116791455,102698936,270415075,62215744,257114147,31920623,24387875,17988212,12749318,8664899,8664900,12749319,17988214,24387877,31920625,40636334,50695621,269896149,88689812,102698941,116791459,130616130,143923460,156430119,167993638,178406520,187597005,195598871,202440758,208189778,212930968,216806810,220018939,222730919,225060819,227084788,228851502 Dl.O(d2) = 57706601,46357506,36499439,28036287,20868264,15040787,10368044,6830475,4285299,4285300,6830476,7031732,10268431,13304057,9085714,5943040,5943041,9085716,13304059,12097132,268104963,20846305,254998005,10280024,9093939,9093940,13313234,13319573,9099707,255652107,18714798,15027716,10355516,255006413,10328995,6797395,6797394,9101561,267858869,3724227,5955213,254516967,4587348,7274066,10988601,15854436,21942954,29264619,37830320,47752706,37830319,29264617,29264616,37830318,47752704,47752669,38209305,29642660,22290796,22290795,29642658,38209303,46470547,46414396,256602286,258101543,85471671,71887193,71887192,71887196,71887197,85471674,86187844,86187843,86187842,72590238,72590239,64064302,64064301,72590245,59852550,48461945,48461944,59852549,72590244,64186737,52336539,52336538,64186735,77333825,64186758,52336556,41997340,41997339,52336536,52336537,64186734,77333824,91253352,92356476,78322794,65042859,53059953,53059954,65042861,78322798,85028129,85028130,71863301,59124745,58725601,258072673,58109433,46739267,36857602,28359647,21144509,21144508,28359646,36857600,46739264,58109429,61907074,50416609,50416608,61907071,74230380,74700712,88328483,79243837,65879467,53811332,43286250,34189254,26317489,19592169,14037724,9651742,9651741,14037723,19592167,23888480,23888481,31385055,34180193,34180192,43276660,46582239,46582238,258017249,58920115,58920114,71641382,65381220,255978052,47538670,257476923,71641384,85206720,99129480,113120391,107931405,93493423,93493424,107931406,122358685,136344120,260847910,130616127,116791455,102698936,270415075,62215744,257114147,31920623,24387875,17988212,12749318,8664899,8664900,12749319,17988214,24387877,31920625,40636334,50695621,269896149,88689812,102698941,116791459,130616130,143923460,156430119,167993638,178406520,187597005,195598871,202440758,208189778,212930968,216806810,220018939,222730919,225060819,227084788,228851502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163986, s2 = 9342903, dlinesl.size( ) = 2 s1 = 14163986, s2 = 9342903, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14163986, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14543771, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2723895, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2725145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10199104, s2 = 10191974, int(edited[s2]) = 0 s1 = 10199104, s2 = 10191974, d1 = 161, d2 = 148 Dl.O(d1) = 255283503,25838180,23168398,21891126,21891127,29204253,37764283,29202748,29202747,37764278,29203745,21890776,15813556,10958632,7253444,4574295,4574294,7253440,7253460,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,29203960,29202102,29202106,21889922,21889921,29202731,37764262,30587923,30587924,39184002,34599332,34599331,39183444,30585667,23167623,16904550 Dl.O(d2) = 130378269,116540241,102443551,88441859,88441860,102443549,260352456,257823237,65107684,78390747,258295402,257103152,73594998,60845575,49444028,39512818,39512817,33641376,33641377,257103184,65107699,57701261,57701260,70395278,57701262,46351991,46351992,57701264,65139744,65107702,255594756,42670555,46330926,267849680,31199488,39880032,255594748,53121791,53121638,42670543,33641370,255689917,256156265,42670546,257823229,257103146,65991707,65991708,79358914,92427686,78390748,65991646,53922650,257864987,79358866,93495486,258295378,53922529,257103134,43397183,53922538,65991531,79358784,92427683,92427682,268450658,74162177,61381648,61381647,65107589,78390669,256554858,78390725,92427672,260754746,258918184,258295458,65107669,62046390,256554886,65107579,65107693,53121643,42670550,257823231,257686440,50520848,62012762,74809317,258918152,93495498,79358804,65991572,53922581,53922580,256595054,57701262,46351991,46351992,57701264,65139744,65107702,255594756,42670555,46330926,267849680,31199489,39880034,40484981,40484980,50520597,62012580,256554866,268450658,74162177,61381648,61381647,65107589,78390669,256554858,257686390,53121622,65107669,258295426,53121620,42670531,256156263,19184701,13700719,13700720,19184702,25838177,33641365,42670533,53121622,65107669,62046390,50553739,256557543,31820823,257106011,62046387,74844626,88480338,101217943,100384097,86428737,257173742,92457279,106762588,259631466,147932059,140024975,126671778,126671779,134782882,120986335,106733545,92427702,92427701,106733542,120986327,127218585,127218587,121015953,121015952,125532046,129887944,129887945,143217383,155769009,164521015,260226818,146030423,132797767,123675680,109484100,109484099,123675678,259610420,260226824,146030420,146030421,258983180,257742596,98823545,98823544,112814810,126671777,123675705,123675677,109484098,109484097,95230448,81174465,67709047,67709048,81174466,71323022,58589724,268971412,257864969,55369414,67709054,257155074,256089512,71323017,84896613,98823542,112814808,104772474,90600316,90600315,93495464,79358748,79358747,271171097,94385052,94385054,108671683,122935852,260378161,94385044,260378156,259763182,115201500,101123824,87125797,73506948,269818858,49354646,60757801,72534801,59799465,59799466,72534803,86134163,87125802,87125708,73506886,60757793,60757792,60757767,49354627,39424920,30820128,30820127,39424916,49354621,60757762,73506894,71827219,59086798,47687853,37766387,29204852,21891658,21891657,29204851,37766386,46292403,36439257,27980108,20816171,14919546,10259164,6741572,6741573,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204245,24211916,17841805,12634472,8578455,8578454,12634470,17841804,22164424,16042310,11139086,7388383,7388384,11139088,14213074,9770826,9770830,14213088,17748096,17748095,17846851,17846772,12638194,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,3161647,5181890,8087855,12030486,17119504,23391398,30820133,39424928,49354641,60757791,258149760,71827216,71827217,80330653,66903725,257288085,43904236,257886339,66903760,54646965,54646966,66903761,80330621,259763167,108671267,94384470,94384471,108671268,122935529,122361049,107933736,93495625,93495626,272062119,260378143,95219991,95219990,93495595,79358944,65991778,65991779,259077532,257831876,34297107,26420551,19683873,19683871,256189861,257270123,65991781,79358967,259743933,122361037,111659910,270788637,70355442,258620965,83880103,70355430,57665768,46321549,36468596,36468597,46321551,57665772,65991744,53922763,43397406,34297099,34297100,43397408,53922770,55357702,44511031,35134091,35134084,27048371,27048372,35134086,44511025,55357690,65991768,65991766,79358957,66902724,54645501,54645500,66902723,80329891,66902667,65991763,65991764,79358954,79358934,79358935,93495585,80329911,66902691,66902692,80329833,80329834,94384412,93495602,93495601,94384410,80329832,258218778,54645414,54645459,43902305,34629835,26639908,26639909,34629837,43902309,54645464,66902673,54645470,43902312,34629840,34629841,43902315,54645473,55357699,55357698,67697624,81163406,80329916,80329915,94384492,80329901,80329903,94384493,80329935,66902711,54645490,54645489,66902709,80329932,92482756,78445308,65162410,269307120,92482753 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7027381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8563122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8563122, s2 = 11289658, int(edited[s2]) = 0 s1 = 8563122, s2 = 11289658, d1 = 38, d2 = 17 Dl.O(d1) = 262545966,147916267 Dl.O(d2) = 104470400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8563122, s2 = 11289658, dlinesl.size( ) = 2 s1 = 8563122, s2 = 11289658, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8563122, Dl.E( ) = 48, 2e-05 seconds used appending s1 = 7637420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7637420, s2 = 11159802, int(edited[s2]) = 0 s1 = 7637420, s2 = 11159802, d1 = 78, d2 = 5 Dl.O(d1) = 270360045,49351925,256484373,12027719,8086151,5180957,3161173,1850608,1850607,3161170,5180954,8086146,12027712,255534501,18390374,24889270,18389474,18389477,20038037,20038035,17113743,12026388,12026387,17113734,21621745,18785774,13380182,13380183,18785779,255284517,1338814,764713,254940031 Dl.O(d2) = 55414814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7637420, s2 = 11159802, dlinesl.size( ) = 56 s1 = 2727073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2727073, s2 = 7975076, int(edited[s2]) = 0 s1 = 2727073, s2 = 7975076, d1 = 1, d2 = 6 Dl.O(d1) = 78424687 Dl.O(d2) = 255288215,13775739,19272309,18388682,18388105,13061193,13061191,18388068,13061168,13061166,18388058,23087796,23087797,30501581,33159418,254722204,37097407,38302265,29734502,29734504,38302273,35226544,27132518,27132519,29628518,29628519,23088019,23088020,30501828,38195523,29628493,22276586,22276588,29628500,25873471,25418470,18826697,13413574,9171274,6002709,6002710,9171239,9171229,9171228,9171404,9171400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2727073, s2 = 7975076, dlinesl.size( ) = 2 s1 = 2727073, s2 = 7975076, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2727073, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 14162540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9400356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9400356, s2 = 9697192, int(edited[s2]) = 1 s1 = 1341227, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9712069, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6936570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6936570, s2 = 9802660, int(edited[s2]) = 0 s1 = 6936570, s2 = 9802660, d1 = 51, d2 = 67 Dl.O(d1) = 260317837 Dl.O(d2) = 1908667,254395541,5271025,3225518,3225519,5271029,5269744,3224380,3224381,5269746,8199261,8173474,7820159,7255257,4575755,4575753,3205641,3205640,5247660,4575748,2753003,2753004,4575750,5288920,3240501,3240498,4614367,7310864,11036514,15915199,22016925,29348713,37917301,257498493,59235616,269828509,48713282,38791408,255939897,16596433,11574858,7704458,7704461,11574864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6936570, s2 = 9802660, dlinesl.size( ) = 2 s1 = 6936570, s2 = 9802660, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6936570, Dl.E( ) = 84, 2.6e-05 seconds used appending s1 = 2396223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2396223, s2 = 11031412, int(edited[s2]) = 0 s1 = 2396223, s2 = 11031412, d1 = 38, d2 = 0 Dl.O(d1) = 65186717 Dl.O(d2) = 3621966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2396223, s2 = 11031412, dlinesl.size( ) = 14 s1 = 1334112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1334112, s2 = 7852340, int(edited[s2]) = 0 s1 = 1334112, s2 = 7852340, d1 = 58, d2 = 66 Dl.O(d1) = 33540847,25752210,25752209,33540846,40392490,35337639,256531960,19128065,13657553,13657554,19128069,25767812,33442143,33471532,32839984,256621527,256098924,255239476,42778280,42778281,53229690 Dl.O(d2) = 42778275,42778278,33747213,25939598,19276483,254144682,254144680,19276481,25939595,33747208,33747207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1334112, s2 = 7852340, dlinesl.size( ) = 64 s1 = 7865384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9203092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349028, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2398563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2398563, s2 = 14137510, int(edited[s2]) = 0 s1 = 2398563, s2 = 14137510, d1 = 6, d2 = 5 Dl.O(d1) = 33768716,42800451,53253065,65242654,78532968,92580724,106900053,272030365,134976027,134976023,134976022,148098237,160341489,148098243,134976031,121167122,106900050,106900048,260916203,148098241,148098246,134976037,121167125,272030365,134976027,134976023,134976022,148098236,260916234,134976032,148098238,160341491,171544186,262507888,171544189,181543059,190321475,264892139 Dl.O(d2) = 223410392,225642162,227106030,225086524,274297838,216859856,212999781,273901522,195736858,187774424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2398563, s2 = 14137510, dlinesl.size( ) = 2 s1 = 2398563, s2 = 14137510, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2398563, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 13438901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13438901, s2 = 13097185, int(edited[s2]) = 0 s1 = 13438901, s2 = 13097185, d1 = 18, d2 = 20 Dl.O(d1) = 89160917,75412967,62494148,62494147,75412965 Dl.O(d2) = 262887778,175454328,164697197,152862021,260219376,112964583,269946326,85050424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13438901, s2 = 13097185, dlinesl.size( ) = 2 s1 = 13438901, s2 = 13097185, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13438901, Dl.E( ) = 46, 4.6e-05 seconds used appending s1 = 9188732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7831395, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2398845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164400, s2 = 6889649, int(edited[s2]) = 0 s1 = 14164400, s2 = 6889649, d1 = 1, d2 = 1 Dl.O(d1) = 61209034,270375339,259706031 Dl.O(d2) = 61209034,270375339,259706031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164400, s2 = 6889649, dlinesl.size( ) = 2 s1 = 14164400, s2 = 6889649, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164400, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10157077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10157077, s2 = 14681533, int(edited[s2]) = 0 s1 = 10157077, s2 = 14681533, d1 = 18, d2 = 23 Dl.O(d1) = 31622930,24117482,17756360,12564392,9146106,5985247,3742563,2240469,1299212,1299211,2240468,3742560,5985243,9146099,13380610,9146144,9146145,13380689,18786356,25370513,26675477,19858252,19858251,26675473,34668635,43942803,42007304,33063479,33063478,30532013,23113454,254460104,7871031,7871030,11787606,16854408,23113451,30532008,23923059,23923060,31412641,40092411,256828266,49143729,39217149,30619977,23198413,16929587,16929586,23198409,30619970,25456337,25456336,33203301,42163216,49143667,49143668,60543212,73286574,73286591,60543228,49143684,49143685,39217135,30619962,23198403,23198400,25112318,18562556,18562558,25112323,32815532,32815531,41736241,45176638,257345723,68681195,82209012,96231314,110383584,124438467,113517915,113517916,106910267,259344002,65254190,53264486,42811333,33778746,25968663,19302248,13801144,9464166,6205543,3884117,2325816,2325815,3884115,6205357,3883998,2325758,2325760,1348236,769303,769298,1348221,2325817,3884119,6205545,9464169,7167135,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,15660085,15660849,10841379,7167065,4514047,2712381,2712382,4514049,7167067,10841385,15660869,21701278,28984018,37528164,32809675,25107257,25107258,32809676,37385173,41729934,41729936,39296095,30698529,30698530,23282997,17023811,11938813,7990194,5085600,5085598,7990188,10840821,10840819,15659994,21699823,15659836,15659835,21699820,28982178,31263882,31263883,37526433,37526410,37526411,37525841,36992435,28494981,21277803,15315703,10578058,10578059,10840990,7166838,7166839,10840994,15660003,21700080,16246488,11295109,11295108,16246482,21700050,21700049,23758769,23758768,19302251,13801149,13801150,19302252,256164259,42811356,52362150,52362149,59649391,72383903,84537199,70974224,58258551,46891564,43121510,34046026,26191876,19482857,13942318,9569585,6279561,6279562,9569587,13942322,19482867,26191892,34046055,254867786,34688041,26693584,19873666,14238896,9788254,6435065,4036773,2418969,2418970,4036775,6435068,9788259,14238906,19873680,26693611,28668585,37190171,47085766,256900844,257480806,98681854,112676211,126538788,139901929,152609872,272848150,193160235,263519936,206382971,263877782,263519934,175243290,164463927,164463928,164463929,272848150,193160236,263519938,211390635,264743168,218865224,215483447,211390632 Dl.O(d2) = 218865224,215483447,273342002,184808714,175243292,175243293,184808716,263124028,206382979,211390645,215483456,264743170,221720847,218865230,264485012,215483454,264198286,206382985,200328272,193160247,184808720,175243295,164463935,152609875,139901930,139901931,152609878,272546484,184808725,193160249,263519940,211390649,211640713,206681367,263877785,185267361,273538825,200679352,193565984,185267366,185267365,273710629,263124026,264469565,215483454,264198286,206382985,200328272,193160247,184808720,175243295,164463935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10157077, s2 = 14681533, dlinesl.size( ) = 16 s1 = 6626960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 26258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 26258, s2 = 14598368, int(edited[s2]) = 0 s1 = 26258, s2 = 14598368, d1 = 7, d2 = 7 Dl.O(d1) = 441963,779076,1349132,1349135,2327740,3887732,6211310,268508591,65307855,78606460,92662598,106996380 Dl.O(d2) = 441963,779076,1349132,1349135,2327740,3887732,6211310,268508591,65307855,78606460,92662598,106996380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 26258, s2 = 14598368, dlinesl.size( ) = 2 s1 = 26258, s2 = 14598368, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 26258, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 2733343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2733343, s2 = 15115130, int(edited[s2]) = 0 s1 = 2733343, s2 = 15115130, d1 = 1, d2 = 15 Dl.O(d1) = 78627858 Dl.O(d2) = 107014368,272033695,135156327,135156328,148328748,156834852,144424457,131193906,117390812,103261570,89171775,270962059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2733343, s2 = 15115130, dlinesl.size( ) = 2 s1 = 2733343, s2 = 15115130, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2733343, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 2733465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6787684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8287806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8329843, s2 = 1229791, int(edited[s2]) = 0 s1 = 8329843, s2 = 1229791, d1 = 45, d2 = 43 Dl.O(d1) = 92735850,78672883 Dl.O(d2) = 3621316,5805987,8897692,13057735,18383524,24881868,32525544,32365794,24749064,24749063,32365793,41181656,41374834,32525512,32525513,41374835,48159885,39738090,31059913,255546033,12144444,12144445,17264821,23576282,254986986,29685653,22333545,22333546,29685658,32525313,32525311,41374592,254986984,48160128,48160006,256766070,72001609,59546971,48160043,48160044,41966648,33023807,25297534,18723144,18723145,255904441,22057152,22057153,29387413,37952171,41966688,41966700,52307053,49756935,39738086,39738085,48160077,51599739,52307073,41966671,41374615,41374614,48160110,39959040,39959041,49975651,60791321,49390728,49390729,48160028,39977675,31302882,31302883,39977677,39977667,31302879,31302878,29451866,22118028,22118026,29451863,31284212,31284211,257063339,61453637,68109177,256993994,72054786,72054785,62197641,257735044,61243542,49764706,49764705,47928072,47928073,52067136,41753117,41753115,52067134,63885365,67796678,59320334,59320335,59320353,59320391,72054806,72054776,61453635,61453634,63323503,51599779,44606189,44606190,55454762,63885370,58301160,58301159,61243564,59320407,47928126,38013939,38013938,47928122,52067131,63885363,59320365,59320364,48160047,47928112,39746181,31067976,23583612,23583613,31067979,39746184,47928141,46935061,46935063,41753108,32832072,27131516,27131515,35225383,35225384,29451831,22118002,16004788,16004787,22118000,29451829,38013917,47928102,255626198,268149398,22118025,29451861,38013962,37724449,32568721,32568722,41428826,51670471,59632339,48245273,38334861,29764119,255470367,16239829,255909991,24286321,24423189,31976829,40723868,38334912,38334913,32567185,32567186,32567144,32567145,31067952,23583595,17271009,17271010,23583598,31067957,39746160,49764694,51669507,41427396,39746146,39746147,31800461,31800462,24914846,18408795,18408794,24914841,24286399,24286296,17905423,17905422,24286294,18112645,18112646,24548025,31976809,32127347,40495477,31800382,24286339,17905450,12684758,12684760,17905453,24286342,31800386,31800296,31800297,31800311,32567191,31284196,24914702,18408705,13075699,13075700,18408710,24914709,32567159,41427426,256516749,31284186,24914726,18408721,13075704,8910233,5814562,3627086,3627085,5814561,8910232,13075701,18408713,18408789,18408744,13075719,8910242,5814565,5814564,8910239,13075717,18408739,24914759,32567235,31800293,31800295,40495391,40495466,31800371,31800370,40495465,50531128,49975623,39959009,34004364,26162574,19462338,18112688,18112687,24548135,24915489,32568221,41427490,32567240,24914762,18408809,13075768,8910263,5814578,3627095,3627094,5814576,8910259,13075760,268284191,18409171,18409172,24914832,18408791,13075752,8910255,5814573,3627092,2166208,2166207,3627090,5814571,8910249,13075709,13075708,18408726,24914737,26162572,26162571,32567793,24915156,18408997,13075878,13075877,18408992,24915146,32567777,256652695,18946586,18946587,25559313,33321225,42301898,52688646,258415546,61438680,257208685,42301887,51670128,51670127,58188473,49960643,39943691,31268982,23783842,17453582,17453580,23783839,31268936,39943653,42330759,33349328,30709748,30709747,31268920,23783801,23783802,31268922,39943639,37395998,29341562,29341560,37910673,31269024,30702802,30702803,33321198,42301879,39943585,31268883,31268882,39943584,39943743,31269088,256476117,30702821,36481435,257158037,39214031,30617246,23196417,16928391,16928390,23196414,30617242,39214027,39943748,31269028,31268972,23783833,23783832,31268970,37395993,41428334,51670147,63413097,76456601,74218050,257644651,39943858,31269105,31269104,31269124,24066765,24066766,23287080,22007128,15906263,15906262,22007125,17525329,17525330,23869727,23287047,23287049,30702751,38334824,29764099,22401623,22401624,29764100,23257493,23257492,30673419,23287077,255141981,7993804,7993803,11943039,255527765,23257466,23783927,23783926,23869690,268638302,30617285,29338482,23869713,23869714,23869717,31364161,40044381,39943850,31269120,23783944,23783943,255877218,39269594,39214076,30617287,23196450,23196449,23089175,23089176,16928363,16928362,23196374,268659295,30503167,30503168,30503171,23869686,23869685,30503175,23783969,23783968,31269150,30673430,23257502,23196279,23196280,22007138,15906270,11027868,7302264,7302262,11027862,7918789,7918791,11847971,16928331,12359477,8350826,8350825,12359472,17525326,23869722,31364172,39300186,30702760,30702758,39300183,49227106,40044374,31364145,256523369,31364154,30617279,23196443,16928405,11848009,7918809,5034568,254561135,11848016,12359457,12359458,17525302,19213840,13724172,13724173,19213887,24066786,17711021,17711020,24066777,23196534,23196535,29514685,23196370,23196340,16928344,11847981,11847982,16928349,23196352,23196227,16928287,16928288,23196234,30617021,26419179,26419178,34295456,43395365,42892628,39214129,30617333,30617335,30192863,22802670,16585603,16585605,22802675,29338616,22007208,15906316,11027890,7302278,4606717,2772733,2772732,4606715,7302274,11027884,15906302,22007189,29338583,30072172,38647967,39825956,31620920,29329053,21998654,15899274,11022043,11022042,15899271,21998650,23196333,16928340,16928339,23196328,30617152,256916593,37897615,40972398,40972397,51114558,60145604,50335310,48751282,48751283,269539009,49140847,39214048,30617262,23196431,23196432,30617265,29338603,29338602,34553275,34553276,43820158,47829149,38500895,29937658,29937659,33837108,26017965,19342910,13833589,13833591,19342913,22173133,29514687,38079309,40010810,31332599,31332598,36641039,28165942,23840839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8329843, s2 = 1229791, dlinesl.size( ) = 2 s1 = 8329843, s2 = 1229791, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8329843, Dl.E( ) = 62, 3.29e-05 seconds used appending s1 = 939415, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2403165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1231009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1231009, s2 = 13200676, int(edited[s2]) = 0 s1 = 1231009, s2 = 13200676, d1 = 29, d2 = 26 Dl.O(d1) = 31090474,260102853,259947532,65475119,65475130 Dl.O(d2) = 38703078,268232700,22743734,30125368,30125369,38702156,47200836,37292734,28759002,28759001,37292728,38702162,38702165,30125376,30125377,38702168,34990701,34990703,30124335,30124334,30124241,30124240,38701198,38701285,48616360,48616047,38700711,30123689,22741171,16533413,16533410,22741164,30123679,38700695,34990752,34990753,37930127,29363337,22032510,22032511,29363340,37930135,38700586,48615954,44369113,44369114,47850366,38701338,30124397,22743739,22743740,30126240,38702146,38701244,38701243,38699966,30122728,30122727,38699963,38702335,38699456,30122217,30122216,26909693,20025907,14343562,14343563,20025913,26909706,34990749,38870198,30284353,22886510,22886512,30284359,38870205,44365402,34987440,26906962,20023519,14341545,14341543,20023511,26906949,34987420,44365367,37930117,37930119,38701524,47651029,48616225,60006596,71793514,60006232,60006233,48616428,38701333,38701331,42354468,52753803,48615370,48615368,59247077,55220257,55220258,67563868,55220220,55220219,60006508,60006507,67563886,55220231,44369042,44369041,55220226,60005659,60005660,48615589,38700001,38700003,38701326,48616414,60006688,60006545,60006546,55216391,55216392,60006674,72742169,257556950,85571534,74831926,62035451,50543699,50543700,48422641,48422642,59808491,72543634,72741030,85571539,71984383,71984384,74831930,88465096,85571562,71984409,59247073,47850357,37930147,29363350,29363349,268412830,59247055,71984388,71984341,71984340,81029358,81029359,72543612,59808473,48422634,48422489,38515292,29950861,22587207,22587208,29950864,38515296,48422496,59808226,254543280,59293926,59293927,71984346,71984345,85571515,91781183,77858649,64668784,64668783,72543331,71853653,59115823,47718480,47718481,59115827,48614276,38698749,38698748,48614273,60005102,255933568,60006165,48615517,48615516,59293936,72030229,72742514,60007093,60007092,60632026,49230930,49230929,60632024,73378149,86993481,100108202,100108197,86141802,86141805,73438375,60689996,60689992,73438368,72543356,72543358,86141840,72543537,72543399,59808305,48422527,48422528,59808310,72543408,86141883,88154806,102145690,107812564,100299692,86338441,85129873,81029400,72741078,60005118,60005116,72741074,73438393,73438391,73438401,71853690,59115847,59115848,59808279,72543368,85452147,71867204,59128807,47730170,37808225,37808223,258099583,73378050,60631822,59808471,48422633,48422629,59808465,60631716,60631710,60631709,60631782,73378028,60631764,49230538,39303430,39303429,39303518,30705674,30705672,39303516,49230618,60631818,73378048,72741367,60631836,60631835,60631612,258832259,86993377,73379239,73379240,73377947,73377946,72733909,59996645,48605112,38689511,30113669,22733123,22733124,30113675,38689520,38689571,30113707,30113708,38689575,39304007,39304008,48605275,59996806,48655781,48655783,60052088,60052121,59942707,48550522,38636152,30062202,22684883,22684885,29456722,29456721,38018729,47932611,47932634,39303804,30705908,23289705,23289474,17030051,17030052,23289482,23291467,23291468,30707809,30705704,23289561,17030094,11944927,7995316,5089675,3088623,3088622,5089673,7995314,11944926,17030088,23289553,30705692,23289651,23289652,30705848,30706350,23291073,23291072,30707380,39304260,39305192,39304168,30706274,23290074,17030517,17030518,23290079,23290197,30706379,39304048,39304050,39303489,30706090,23289892,17030375,11945133,11945134,17030379,17031328,17031327,23291061,30706297,30113687,30113686,23290107,23290108,17031653,17031654,23289464,17031643,17031642,23291487,23289522,23289523,23289498,23289497,30705593,30705686,30705687,30706353,23290192,17030642,17030640,23290190,23291082,23291081,30707258,268661515,23290080,256476419,39303980,256476519,255528165,7995906,7995296,7995295,7995288,5089659,5089660,7995293,7995209,5089611,5089608,3088871,1804064,1030080,580444,580443,1030077,1804048,3088844,5090061,5090085,5090087,7995754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1231009, s2 = 13200676, dlinesl.size( ) = 2 s1 = 1231009, s2 = 13200676, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1231009, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 8219825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6679723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6679723, s2 = 8782075, int(edited[s2]) = 0 s1 = 6679723, s2 = 8782075, d1 = 21, d2 = 13 Dl.O(d1) = 257249695,65510692,78843007,92949647,107354388 Dl.O(d2) = 221002859,223538822,225736992,265807407,225736995,223538829,221002834,218037407,264902163,214501788,210200676,204940473,204940474,210200678,214501790,214501797,218037374,218037367,214501784,210200673,264661735,210200726,214501850,214501839,214501837,210200722,210200721,214501843,218037410,221002863,221002838,218037381,214501801,214501802,218037357,218037394,214501822,210200705,210200706,214501825,210200707,204940493,204940492,210200706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6679723, s2 = 8782075, dlinesl.size( ) = 2 s1 = 6679723, s2 = 8782075, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6679723, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 749815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 749815, s2 = 10246226, int(edited[s2]) = 0 s1 = 749815, s2 = 10246226, d1 = 35, d2 = 45 Dl.O(d1) = 19080317,25707226,33480762,26116031,26116032,257249779 Dl.O(d2) = 172443648,263398421,263832632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 749815, s2 = 10246226, dlinesl.size( ) = 28 s1 = 6679788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6838233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8238280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8238280, s2 = 11145510, int(edited[s2]) = 0 s1 = 8238280, s2 = 11145510, d1 = 48, d2 = 15 Dl.O(d1) = 258081790,256891120,256891122,99962906,100851377,270352765,39178033,30580115,28281354,21076431,15139468,10441768,10441769,15139473,17916775,22206016,22206015,16075887,16075890,22206038,25493666,25243406,21789194,17306305,17306303,22171041,22171042,16047331,16047332,22171055,29512249,38076723,33205702,33205701,35066573,35066572,44440698,41889295,32953932,32953931,255289092,19210365,19436770,26131958,268506098,65533425 Dl.O(d2) = 77252847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8238280, s2 = 11145510, dlinesl.size( ) = 14 s1 = 1953308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2405982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2465822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2739374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13193535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2408251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2408704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2408704, s2 = 9547742, int(edited[s2]) = 0 s1 = 2408704, s2 = 9547742, d1 = 6, d2 = 133 Dl.O(d1) = 65742536 Dl.O(d2) = 149878698,260651242,146909671,261131836,119787153,105553754,91335763,77417095,64267086,64267087,77417097,85193487,85193486,99115328,99770772,85817967,257011964,48101991,44554312,44554311,55400878,67739917,81204510,95260459,109514531,123706245,137436295,142281596,128930861,115027997,100972127,86986386,73373796,60628169,49226953,256476097,23286957,17027887,254819609,5088398,5088397,254614299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2408704, s2 = 9547742, dlinesl.size( ) = 2 s1 = 2408704, s2 = 9547742, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2408704, Dl.E( ) = 134, 3.5e-05 seconds used appending s1 = 1461584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8162099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9436684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8693036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2731422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2731422, s2 = 14199192, int(edited[s2]) = 0 s1 = 2731422, s2 = 14199192, d1 = 17, d2 = 13 Dl.O(d1) = 78534453,65773708,257853902,79129000,73252637,257259722 Dl.O(d2) = 53676262,43166042,34082833,26222287,19508107,255047672,15481215,10705537,9947853,9947848,10705518,15481182,21485332,28743366,30573039,39171173,49101552,60505657,73252639,86865568,100846815,258471370,142150314,154784945,166491770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2731422, s2 = 14199192, dlinesl.size( ) = 14 s1 = 13777945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13777945, s2 = 8080022, int(edited[s2]) = 0 s1 = 13777945, s2 = 8080022, d1 = 1, d2 = 1 Dl.O(d1) = 264531498,201463154,194460781,186286437,185328496,175822629,165097061,153283279,140603167,127257287,259434384,71872476,70870036,270025298,65779646,53723034,269101768,36910866,28413386,28413387,36910867,46406389,36544979,36544978,46406387,46406399,36544989,36544990,46406401,255865026,42658071,42658070,53109924,65096794,62197636,50679494,40622057,40622055,49801963,256453582,49801967,61280246,61280245,59316882,59316883,65779660,65779591,55230948,44380518,44380517,256181112,71189188,64063716,64063718,77204703,67575645,67575644,67575653,73075141,64063710,52222359,52222360,64063712,271023567,74793502,61997122,61997123,53830980,43306100,269142845,62029569,50538045,50538046,62029572,74826158,88459578,86578697,85570240,71983154,64173457,52321674,52321673,64173455,73077959,60337805,48940333,48940334,60337807,60739974,255738616,39407403,44379349,35001176,26919598,26919599,26898641,26898640,34978027,35003121,26921380,20036412,14352482,9861497,6477888,254685495,14352485,20036413,26921381,35003122,44381268,55231692,67574393,81042722,67574392,67574391,55231690,50555763,50555762,258241026,74690248,256502434,40370606,31676426,24167318,24167319,31676428,38433668,38433669,255998246,50405935,255548400,38433670,48337687,59722353,72458180,86056537,100019716,114047044,127928140,141289529,153961292,165735045,176398167,185836427,194066828,201118961,207061075,211964269,215970517,219288502,222090928,222090922,219288499,215970516,215970517,219288502,222090928,222090922,222090921,224498450,222090924,219288500,215970516,215970517,219288501,222090926,224498452,222862670,220182329,217016058,213199992,208531104,264323523,196097936,188201764,179139237,168859680,157418695,145003097,131755500,117935315,271941379,261911503,261911501,131755501,117935314,117935313,117935315,103793758,271978450,257724901,256587071,24670550,18207332,255619351,32278633,41086176,51262842,257724915,75914726,75914715,62935961,257151805 Dl.O(d2) = 264531498,201463154,194460781,186286437,185328496,175822629,165097061,153283279,140603167,127257287,259434384,71872476,70870036,270025298,65779646,53723034,269101768,36910866,28413386,28413387,36910867,46406389,36544979,36544978,46406387,46406399,36544989,36544990,46406401,255865026,42658071,42658070,53109924,65096794,62197636,50679494,40622057,40622055,49801963,256453582,49801967,61280246,61280245,59316882,59316883,65779660,65779591,55230948,44380518,44380517,256181112,71189188,64063716,64063718,77204703,67575645,67575644,67575653,73075141,64063710,52222359,52222360,64063712,271023567,74793502,61997122,61997123,53830980,43306100,269142845,62029569,50538045,50538046,62029572,74826158,88459578,86578697,85570240,71983154,64173457,52321674,52321673,64173455,73077959,60337805,48940333,48940334,60337807,60739974,255738616,39407403,44379349,35001176,26919598,26919599,26898641,26898640,34978027,35003121,26921380,20036412,14352482,9861497,6477888,254685495,14352485,20036413,26921381,35003122,44381268,55231692,67574393,81042722,67574392,67574391,55231690,50555763,50555762,258241026,74690248,256502434,40370606,31676426,24167318,24167319,31676428,38433668,38433669,255998246,50405935,255548400,38433670,48337687,59722353,72458180,86056537,100019716,114047044,127928140,141289529,153961292,165735045,176398167,185836427,194066828,201118961,207061075,211964269,215970517,219288502,222090928,222090922,219288499,215970516,215970517,219288502,222090928,222090922,222090921,224498450,222090924,219288500,215970516,215970517,219288501,222090926,224498452,222862670,220182329,217016058,213199992,208531104,264323523,196097936,188201764,179139237,168859680,157418695,145003097,131755500,117935315,271941379,261911503,261911501,131755501,117935314,117935313,117935315,103793758,271978450,257724901,256587071,24670550,18207332,255619351,32278633,41086176,51262842,257724915,75914726,75914715,62935961,257151805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13777945, s2 = 8080022, dlinesl.size( ) = 2 s1 = 13777945, s2 = 8080022, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13777945, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 382349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 382349, s2 = 11047270, int(edited[s2]) = 0 s1 = 382349, s2 = 11047270, d1 = 40, d2 = 38 Dl.O(d1) = 9637587,9637588,254542426,19571534,255108728,53767781,65828405,269353668,59975860,48584153,48584154,269824167 Dl.O(d2) = 1443012,2501008,1443140,1443136,2493294,1439536,1439532,2493323,4152582,4152580,6632549,255347547,22141705,16024086,16024087,13205942,9003450,5877856,3669687,3669684,5877882,4729641,2849554,2849551,4729655,7484156,11274389,16218368,22373698,27352304,268180843,10070153,6615295,267818743,1431738,814310,461475,260704,260700,144660,144658,260886,463042,818850,1443011,2500892,1442988,1442983,2500919,1444878,1444873,2504898,1447378,1447375,2509809,254701555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 382349, s2 = 11047270, dlinesl.size( ) = 8 s1 = 10182207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7642289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7642289, s2 = 14198659, int(edited[s2]) = 0 s1 = 7642289, s2 = 14198659, d1 = 53, d2 = 69 Dl.O(d1) = 270593147 Dl.O(d2) = 143029327,131351563,117551349,117551346,117551345,115798988,101752221,269870490,61392938,49912462,39892300,31214937,23730531,17406392,17406394,12908371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7642289, s2 = 14198659, dlinesl.size( ) = 12 s1 = 9701305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16294734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294734, s2 = 14165355, int(edited[s2]) = 0 s1 = 16294734, s2 = 14165355, d1 = 1, d2 = 1 Dl.O(d1) = 121788831,107405695,92997082,78886803,65551835,53527010,43047262,33988575,26147779,26147778,33988573,257251963,61644975,258891843,63247571,52064736,52064735,58806601,47419316,37511539,37511538,47419313,58806596,71535644,258470740,113019088,109839675,108624073,94336896,80280800,66851187,66851186,80280799,94336895,257761414,271975574,39949892,31274937,31274926,23789256,23789257,256515947,49966688,48801141,38878783,30292766,22894338,16664554,11631158,7748541,4907170,4907169,7748539,11631157,16664552,22894335,16664562,11631162,7748543,254367075,1715051,974465,974467,955412,955409,538695,301988,167220,92039,50780,50779,92036,167211,301961,538636,955373,955127,538523,538521,955120,1678944,2892894,4799516,2903365,2903367,4796125,4796123,7582692,11410858,12992007,12992006,9896932,6504166,4075686,4075685,6504165,9896930,14390913,20073671,14390911,14390910,255742001,35037523,38869904,30284082,30284084,38869908,258180451,86526451,86526458,100484999,93362313,259072444,65871118,65871117,79235052,79235058,65871120,53803289,43278427,43278426,53803287,53803291,53803290,65871121,79235059,93362318,107783596,122187627,136149073,137404716,261070072,149398007,136149065,136149064,272402530,161688465,149398008,136149066,122187617,271080058,93362309,107783582,122187619,125461252,125461253,130122678,271581308,138790156,130122687,116211438,102150184,88159611,74545054,74545053,71069254,58353017,46983471,37099491,37099490,268208088,254734404,15382273,21360497,28592436,37099489,37099482,28592428,28592429,28580880,21360491,15382268,15382267,21360489,21351385,15375332,15375331,21351382,28580877,37085422,46966716,58334553,71050408,71050405,58334551,58334552,71050406,84614490,259100436,77716631,91643594,91643602,258471018,52636774,52636773,64535476,77716635,91643601,105851313,120063601,105851273,91643557,77716604,64535452,52636751,52636752,63895837,63895836,70893111,270802453,126202787,126202788,114017120,99991402,86029792,72432106,72432105,259392937,114017117,127897165,141257729,153929605,165704563,153931121,141259191,127898524,114018369,99992578,86030895,72433164,59697548,271298862,99992577,114018366,127898518,141259182,153931116,153931117,153931118,165705997,160244331,147995706,272405958,134875067,121073009,260911719,106812837,92500799,78460495,65176183,53190580,257827163,78460493,92500796,84066071,70529322,57827276,46470641,36603922,36603921,46470638,36603924,28130059,28130060,36603926,46470646,57827282,70529339,84066096,79144946,79144945,86571519,72973629,60236645,48842266,254530474,26268845,26268846,34135224,28372983,21155735,21155736,28372986,255861734,29129417,29129416,33249389,25498423,18892918,18892919,13463660,13463661,18892970,22093961,20058467,20058470,26943879,30724190,30828775,23401009,18240213,12938447,12938446,18240174,18240177,12938636,12938635,18240477,24712575,30545050,30545051,37130342,37130343,42394984,34636652,34636651,28430315,28430316,36928933,46807283,255327464,74196269,87799489,74196266,257590408,101771518,101585834,87618652,74014500,61233948,49754919,39736141,31057956,23574264,17262797,255035583,7048984,4436655,4436654,7048979,10672486,9336321,6115439,3826298,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,28680090,24578876,24578879,24578836,18136153,12860439,12860440,18136157,19097201,25728928,33507331,32164133,24578907,24578908,32164137,40943109,51085729,42506160,33507281,25728884,19097165,19097164,25728878,31882269,31882268,33569316,25779204,19138043,13665587,9358391,6129977,3835210,3835211,6129981,9358398,13665594,13928018,9559828,6272795,6272794,9559824,13928014,19462153,26162305,34003996,43061952,47099707,37203353,37203355,42506226,33507344,32164041,24578825,24578827,24578841,24578840,32164055,40943029,51085616,40943103,33569377,33569378,42586368,33569508,256669183,52915550,42506153,42506148,42506149,50637040,40589238,40589240,42586304,33569311,25779200,19138041,13665583,13665582,19138036,25779196,25779249,19138062,19138061,19462142,13928007,9559815,9559813,13928001,19462138,26162288,34003972,40943023,40943024,51085611,51085720,51085721,52915413,51085602,40943017,40943016,40943022,51085606,55354276,52915541,42506145,42506144,51085727,42586365,42586363,53026129,42586520,42586519,49772350,49772349,53026148,64840259,64840258,53541023,53541022,65000790,53026073,42586288,33569294,33569293,42586284,53026069,42586394,33569403,33569369,33569371,34003939,26162261,19462126,13927994,13927996,19462135,26162276,34003930,43061861,49772335,49772334,61250968,74030911,75663071,62716920,62716919,62716915,62716914,55354282,44507993,44507994,53026311,52915532,52915533,64840251,65000827,53541030,53541028,53026297,53026296,61250986,61250985,74030925,72051174,72051173,78900552,78900551,78037311,64840120,52915379,42505993,42505992,43061867,43061866,53026162,43061899,34003949,34003948,43061895,43061844,34003922,26162253,26162252,34003919,43061839,43061855,257846037,64840302,78037488,78900656,78900662,65565801,53541089,43061996,43061997,44507986,35131338,35131340,44507991,55354274,64840244,78037445,81159607,78900598,78900597,86622545,86622544,100587414,106162537,271528414,107395904,92985416,92985415,258681173,58478222,47099832,37203450,37203451,258056871,84769370,98697786,93010310,93010308,85638730,72051146,59316323,47923204,47923203,59316317,67694033,78037253 Dl.O(d2) = 121788831,107405695,92997082,78886803,65551835,53527010,43047262,33988575,26147779,26147778,33988573,257251963,61644975,258891843,63247571,52064736,52064735,58806601,47419316,37511539,37511538,47419313,58806596,71535644,258470740,113019088,109839675,108624073,94336896,80280800,66851187,66851186,80280799,94336895,257761414,271975574,39949892,31274937,31274926,23789256,23789257,256515947,49966688,48801141,38878783,30292766,22894338,16664554,11631158,7748541,4907170,4907169,7748539,11631157,16664552,22894335,16664562,11631162,7748543,254367075,1715051,974465,974467,955412,955409,538695,301988,167220,92039,50780,50779,92036,167211,301961,538636,955373,955127,538523,538521,955120,1678944,2892894,4799516,2903365,2903367,4796125,4796123,7582692,11410858,12992007,12992006,9896932,6504166,4075686,4075685,6504165,9896930,14390913,20073671,14390911,14390910,255742001,35037523,38869904,30284082,30284084,38869908,258180451,86526451,86526458,100484999,93362313,259072444,65871118,65871117,79235052,79235058,65871120,53803289,43278427,43278426,53803287,53803291,53803290,65871121,79235059,93362318,107783596,122187627,136149073,137404716,261070072,149398007,136149065,136149064,272402530,161688465,149398008,136149066,122187617,271080058,93362309,107783582,122187619,125461252,125461253,130122678,271581308,138790156,130122687,116211438,102150184,88159611,74545054,74545053,71069254,58353017,46983471,37099491,37099490,268208088,254734404,15382273,21360497,28592436,37099489,37099482,28592428,28592429,28580880,21360491,15382268,15382267,21360489,21351385,15375332,15375331,21351382,28580877,37085422,46966716,58334553,71050408,71050405,58334551,58334552,71050406,84614490,259100436,77716631,91643594,91643602,258471018,52636774,52636773,64535476,77716635,91643601,105851313,120063601,105851273,91643557,77716604,64535452,52636751,52636752,63895837,63895836,70893111,270802453,126202787,126202788,114017120,99991402,86029792,72432106,72432105,259392937,114017117,127897165,141257729,153929605,165704563,153931121,141259191,127898524,114018369,99992578,86030895,72433164,59697548,271298862,99992577,114018366,127898518,141259182,153931116,153931117,153931118,165705997,160244331,147995706,272405958,134875067,121073009,260911719,106812837,92500799,78460495,65176183,53190580,257827163,78460493,92500796,84066071,70529322,57827276,46470641,36603922,36603921,46470638,36603924,28130059,28130060,36603926,46470646,57827282,70529339,84066096,79144946,79144945,86571519,72973629,60236645,48842266,254530474,26268845,26268846,34135224,28372983,21155735,21155736,28372986,255861734,29129417,29129416,33249389,25498423,18892918,18892919,13463660,13463661,18892970,22093961,20058467,20058470,26943879,30724190,30828775,23401009,18240213,12938447,12938446,18240174,18240177,12938636,12938635,18240477,24712575,30545050,30545051,37130342,37130343,42394984,34636652,34636651,28430315,28430316,36928933,46807283,255327464,74196269,87799489,74196266,257590408,101771518,101585834,87618652,74014500,61233948,49754919,39736141,31057956,23574264,17262797,255035583,7048984,4436655,4436654,7048979,10672486,9336321,6115439,3826298,3826296,5693825,8745742,12860474,18136211,19097182,19097171,13634534,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,28680090,24578876,24578879,24578836,18136153,12860439,12860440,18136157,19097201,25728928,33507331,32164133,24578907,24578908,32164137,40943109,51085729,42506160,33507281,25728884,19097165,19097164,25728878,31882269,31882268,33569316,25779204,19138043,13665587,9358391,6129977,3835210,3835211,6129981,9358398,13665594,13928018,9559828,6272795,6272794,9559824,13928014,19462153,26162305,34003996,43061952,47099707,37203353,37203355,42506226,33507344,32164041,24578825,24578827,24578841,24578840,32164055,40943029,51085616,40943103,33569377,33569378,42586368,33569508,256669183,52915550,42506153,42506148,42506149,50637040,40589238,40589240,42586304,33569311,25779200,19138041,13665583,13665582,19138036,25779196,25779249,19138062,19138061,19462142,13928007,9559815,9559813,13928001,19462138,26162288,34003972,40943023,40943024,51085611,51085720,51085721,52915413,51085602,40943017,40943016,40943022,51085606,55354276,52915541,42506145,42506144,51085727,42586365,42586363,53026129,42586520,42586519,49772350,49772349,53026148,64840259,64840258,53541023,53541022,65000790,53026073,42586288,33569294,33569293,42586284,53026069,42586394,33569403,33569369,33569371,34003939,26162261,19462126,13927994,13927996,19462135,26162276,34003930,43061861,49772335,49772334,61250968,74030911,75663071,62716920,62716919,62716915,62716914,55354282,44507993,44507994,53026311,52915532,52915533,64840251,65000827,53541030,53541028,53026297,53026296,61250986,61250985,74030925,72051174,72051173,78900552,78900551,78037311,64840120,52915379,42505993,42505992,43061867,43061866,53026162,43061899,34003949,34003948,43061895,43061844,34003922,26162253,26162252,34003919,43061839,43061855,257846037,64840302,78037488,78900656,78900662,65565801,53541089,43061996,43061997,44507986,35131338,35131340,44507991,55354274,64840244,78037445,81159607,78900598,78900597,86622545,86622544,100587414,106162537,271528414,107395904,92985416,92985415,258681173,58478222,47099832,37203450,37203451,258056871,84769370,98697786,93010310,93010308,85638730,72051146,59316323,47923204,47923203,59316317,67694033,78037253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16294734, s2 = 14165355, dlinesl.size( ) = 2 s1 = 16294734, s2 = 14165355, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16294734, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 2412037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9123892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9123892, s2 = 11063624, int(edited[s2]) = 0 s1 = 9123892, s2 = 11063624, d1 = 66, d2 = 64 Dl.O(d1) = 258289901,259537233,102347002 Dl.O(d2) = 114321502,114321501,114321500,128204753,135734404,121794971,107412524,93004464,259695510,65559648,53534754,53534755,43054838,33996033,26154444,19455467,19455468,26154446,33996038,26592302,26592300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9123892, s2 = 11063624, dlinesl.size( ) = 18 s1 = 2745184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 259173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 259173, s2 = 8488127, int(edited[s2]) = 0 s1 = 259173, s2 = 8488127, d1 = 17, d2 = 11 Dl.O(d1) = 8539979,6349932,6349930,9656751,14044302,18408756,17785053,12587642,8539972,7768267,4921771,4921772,7768272,11656830,9656704,6349899,6349900,9656712,14044248,14044079,14044080,19600130,14044232,14044221,14044222,19600315,26327520,34200633,33782686,25972294,19305270,13803379,9465692,9465691,13803378,19305268,19600077,14044054,9656596,9656595,9656678,14044194,19600058,14044046,9656587,9656585,13895357,12587671,12587668,14044031,9656773,6349941,3984165,2387848,1382315,786401,786400,267781867,3984127,6349863,9656654,14044147,19600203,26327388,34200520,43298538,53823727,65891440,272053130,122207854,136170473,136170476,122207861,107802982,259106617,65891452,53823733,53823734,65891454,65891455,53823735,43298545,34200525,26327390,26327389,34200523 Dl.O(d2) = 107802977,122207858,125996873,128196859,114314066,100283691,86321594,86321595,100283689,114314065,128196858,130079863,143408102,155946801,143408103,143408104,272520836,178025740,167558175,165028661,153209813,140527434,127180789,113321305,99317792,85372909,258715311,59041775,47639998,37718005,29158117,21849742,15778919,10930221,7230973,4557461,254230657,1587891,2740201,4549866,2737340,1586073,901637,901636,1586072,2737339,2740541,1588126,1588125,2740539,4557904,7221265,4549893,2735011,2735010,4549892,7085822,4461245,4461244,254998473,9060083,254438497,2218519,1287157,734933,734934,471259,264766,264764,471250,836282,1479517,2217779,1286800,1286801,2217785,1286855,734790,417828,417827,734782,254295753,5921860,254484719,4266660,6803445,4266706,4266705,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219483,2218496,2218495,2221222,2221223,3709145,267928385 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7916547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8221355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8323175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13481805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164532, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2746986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2705173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2705173, s2 = 1662034, int(edited[s2]) = 0 s1 = 2705173, s2 = 1662034, d1 = 10, d2 = 8 Dl.O(d1) = 77542935 Dl.O(d2) = 42141765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2705173, s2 = 1662034, dlinesl.size( ) = 8 s1 = 2065205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466060, s2 = 6584026, int(edited[s2]) = 0 s1 = 9466060, s2 = 6584026, d1 = 50, d2 = 89 Dl.O(d1) = 98423881 Dl.O(d2) = 256228076,8962627,254215648,12735253,12735254,17970519,24366253,31894386,40603307,50653345,50653344,254981258,26391367,19656983,14089871,9691122,9691124,14089878,19656998,26391390,34267766,34268637,254776542,26386367,19651867,14092371,9692750,9692749,14088577,14212593,14212589,19839051,22874986,19654334,17118764,17118762,21104531,17920560,12697117,12697114,17920553,19662162,19662175,21103841,20795866,14903167,10246859,10246862,13427553,14903810,14093957,11983512,11983510,14094375,19655799,21481937,15478574,15478575,15477771,11546975,11546974,7682333,4861009,4861010,7682339,6099479,3816370,3816373,6099490,8526299,8526298,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,593917,331088,182315,100015,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,20843362,23338211,28008068,36466919,255378256,39941319,31266483,25342003,18761803,13359964,9130558,9130557,5975252,3736807,3736806,5975248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466060, s2 = 6584026, dlinesl.size( ) = 2 s1 = 9466060, s2 = 6584026, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9466060, Dl.E( ) = 98, 3.19e-05 seconds used appending s1 = 2416753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8384520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8384520, s2 = 14164441, int(edited[s2]) = 0 s1 = 8384520, s2 = 14164441, d1 = 13, d2 = 10 Dl.O(d1) = 272620806,94402157,80347723,66921450,258381684,38301593,29733933,255468537,11275918,268086619,22376382,16220498,255468535,29733892,268945291 Dl.O(d2) = 257270090,51738833,41469952,32592904,255308846,13083573,13083482,8915660,5818290,5818291,7278649,8933695,5831135,5831138,8790947,8790945,8917550,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777846,8917547,8935205,8935206,6789513,6789514,6772221,6772222,6762960,6762961,9058655,5922633,3703413,2218113,2218114,2537949,1462408,827719,827718,831552,831551,1462121,1462120,2537378,3707750,3707749,4272141,4272140,255005263,9064592,9064594,13280345,16147008,18663038,13564140,13564139,19005527,18191002,18191003,12902409,8776780,254891511,12900080,8774792,5714729,3557358,3557360,5714735,5716102,5716103,3582957,3582956,5753857,8830218,12972653,12972637,12972636,12902222,8776633,8776632,12901898,8776324,8776325,12901900,18190422,13135704,12800123,8702805,8702806,11851645,7921136,5035961,5035962,7921137,8777043,7884509,5007337,5007336,7884504,11804632,12902023,18190551,18191385,13136385,11217221,7442797,7442796,8777031,12902731,12901468,8775918,5715507,5715506,5714723,5714724,8774785,5843658,3646602,3646604,5715604,5715603,8776028,12901602,12902213,8952976,8952974,12902026,12901913,8776335,5715862,5715861,8776331,12901910,8952432,5843252,5843251,8952427,12078135,8121980,5843647,3646592,3646594,5716426,8777047,12902742,8952028,8952029,8776454,5715996,5715997,8776460,8777012,8777010,5716430,5716419,5716418,8777034,8775922,5715510,3557883,3557882,3557870,3557869,5715499,8775913,8776044,8776042,12901609,18190111,24646654,24646978,18190438,12901919,254627949,3558151,3558150,5715870,254891479,8952433,12902002,13135241,8952042,5842967,3646114,2179445,1262922,1262920,2179438,3557878,2119752,2119751,3557874,3557963,3557965,2179584,2179578,2179577,3646300,5843225,5715491,3557865,3557864,5715489,5715857,5715856,5715985,5715984,5715524,5715521,3558241,3558242,5713624,3558154,2179613,2179614,2179790,2179789,3646600,5715481,5715480,5715496,5715495,5715990,5716410,254627995,8775278,8775935,5716409,3558582,2120235,254142445,690681,690460,690462,1222221,2119814,3557888,5715518,3646322,2179592,1263031,719542,719541,1263026,2119630,3557635,2179520,2120016,2119745,2119744,2119736,2119735,1222268,1222267,1222333,2120002,2119012,2119011,1263035,1263036,1263056,2120261,2120231,2120230,2118661,2118663,2120254,2120250,2120252,2119761,2119760,2179523,3646231,5843141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8384520, s2 = 14164441, dlinesl.size( ) = 14 s1 = 8264742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1265118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2749400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2749400, s2 = 4447572, int(edited[s2]) = 0 s1 = 2749400, s2 = 4447572, d1 = 45, d2 = 16 Dl.O(d1) = 79378712,93515226,79378717 Dl.O(d2) = 175421476,164663072,164663071,175421475,184965904,193300198,200453833,264476218,206897199,263111048,165436494,165436493,261119684,153655813,140989339,127641020,113772977,113772976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2749400, s2 = 4447572, dlinesl.size( ) = 14 s1 = 7315721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3057552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8332870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8332870, s2 = 4474297, int(edited[s2]) = 0 s1 = 8332870, s2 = 4474297, d1 = 12, d2 = 6 Dl.O(d1) = 29611899,29611900,38178714,257438426,22261414,29611898,38178710,38178715,48090468,59480025,72217224,59480027,59480028,259375127,113779174,127647142,127647141,271662748,259993099,127647138,140995109,153661228,165441538,165441537,153661222,153661221,165441534,153661229,273048916,173169590,173169589,273492201,183023230,273048918,262068234,149853417,149853418,149853420,136710796,122878702,108613864,108613865,122878701,108613892,94326455,80270077,80270078,94326426,257885698,66840230,66840229,80270046,66840234,54580811,54580812,66840233,256723646,43835566,34562594,26575678,19773442,19773441,14163249,255311865,26575717,34562628,43835597,257881881,54580840,54580841,66840262,80270074,66840264,66840263,259130271,108613891,122878724,136710828,149853454,149853455,162067454 Dl.O(d2) = 177618512,185297830,185297829,186900831,263941044,165056062,153238118,140556840,261140453,113353078,99351349,99351350,113353079,113353083,113353084,127211186,127211185,140556837,141466909,154136510,154136511,141466910,128101419,114212872,114212873,128101421,141466913,154136516,165900487,176551493,176551491,165900486,165900485,273725009,273350288,162492760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8332870, s2 = 4474297, dlinesl.size( ) = 2 s1 = 8332870, s2 = 4474297, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8332870, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11656614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656614, s2 = 9696993, int(edited[s2]) = 0 s1 = 11656614, s2 = 9696993, d1 = 0, d2 = 0 Dl.O(d1) = 58499731,256868243,28697750,28697748,21446016,21446017,21446014,15449579,10681862,7056228,7056229,10681866,15449585,21446015,268614483,47121153,58499729,71221801,84790680,80277954,66848368,54589602,43845212,34573732,26586896,19782633,19782634,19782635,26586894,34573728,43845207,268371342,270632485,80277952,94334465,108621833,122886263,136718211,139942192,126577964,126577965,139942193,127659493,113791526,99777404,85823652,72230612,59494519,48105875,38194225,29627269,22275574,268084953,7436072,4698759,2830949,2830950,4698728,7436026,4698734,2830936,1642462,933940,933939,1642460,2830934,4698729,2830952,1642469,933944,526341,526340,933942,1642465,2830943,4698745,7436032,7436025,4698727,2830932,2830931,4698725,7436021,11206896,16132766,22275300,29626958,38193917,257518295,59494197,59494198,59494193,59494192,72230297,258127728,80662243,67187091,54867460,256634398,19896535,26731030,34750605,44066961,54867462,67187094,77867521,64677466,52762482,52762481,64677464,77867519,91790158,91790155,91790156,105984869,120185302,261451303,127298448,113439968,99438213,85496861,71911945,257493665,47775409,59174168,58480440,58480441,71202485,58480400,256570446,71911940,85496856,85496852,71911937,59174162,47775408,37852278,29284196,21958649,21958650,29284198,37852281,47775411,58480408,58480409,58480449,58480448,48888435,47102039,47102040,47102046,47102047,58480452,71202527,257705246,112696628,126560766,128999450,139924618,126560759,112696618,112696619,126560760,131672319,131672318,144920309,157334037,168773479,169805388,158438498,158438497,169805386,158438500,158438501,169805389,158438503,146072145,132853811,119033784,104849965,90681698,90681699,259740256,90681725,76813266,76813265,90681713,90681702,90681703,104849968,119033785,132853812,130396408,116556373,102457128,88453292,74819758,62022746,50530603,40494843,31799771,31799770 Dl.O(d2) = 58499731,256868243,28697750,28697748,21446016,21446017,21446014,15449579,10681862,7056228,7056229,10681866,15449585,21446015,268614483,47121153,58499729,71221801,84790680,80277954,66848368,54589602,43845212,34573732,26586896,19782633,19782634,19782635,26586894,34573728,43845207,268371342,270632485,80277952,94334465,108621833,122886263,136718211,139942192,126577964,126577965,139942193,127659493,113791526,99777404,85823652,72230612,59494519,48105875,38194225,29627269,22275574,268084953,7436072,4698759,2830949,2830950,4698728,7436026,4698734,2830936,1642462,933940,933939,1642460,2830934,4698729,2830952,1642469,933944,526341,526340,933942,1642465,2830943,4698745,7436032,7436025,4698727,2830932,2830931,4698725,7436021,11206896,16132766,22275300,29626958,38193917,257518295,59494197,59494198,59494193,59494192,72230297,258127728,80662243,67187091,54867460,256634398,19896535,26731030,34750605,44066961,54867462,67187094,77867521,64677466,52762482,52762481,64677464,77867519,91790158,91790155,91790156,105984869,120185302,261451303,127298448,113439968,99438213,85496861,71911945,257493665,47775409,59174168,58480440,58480441,71202485,58480400,256570446,71911940,85496856,85496852,71911937,59174162,47775408,37852278,29284196,21958649,21958650,29284198,37852281,47775411,58480408,58480409,58480449,58480448,48888435,47102039,47102040,47102046,47102047,58480452,71202527,257705246,112696628,126560766,128999450,139924618,126560759,112696618,112696619,126560760,131672319,131672318,144920309,157334037,168773479,169805388,158438498,158438497,169805386,158438500,158438501,169805389,158438503,146072145,132853811,119033784,104849965,90681698,90681699,259740256,90681725,76813266,76813265,90681713,90681702,90681703,104849968,119033785,132853812,130396408,116556373,102457128,88453292,74819758,62022746,50530603,40494843,31799771,31799770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656614, s2 = 9696993, dlinesl.size( ) = 2 s1 = 11656614, s2 = 9696993, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11656614, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1046230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14599513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14599513, s2 = 10197754, int(edited[s2]) = 0 s1 = 14599513, s2 = 10197754, d1 = 9, d2 = 9 Dl.O(d1) = 257214137,259048523,80301998,66872637,66872638,259132453,108646503,122911526,259987006,108646508,94358504,80302000,270632983,122911534,108646508,94358504,94358503,108646506,122911530,262447363,146229388,260254362,104971113,104971115,109363773,259553180,81150348,67684525,55344843,44498496,35120926,35120928,32318638,32318639,257111793,49452780,39520511,255989633,17193318,17193317,23475185,27104741,27104742,35193921,44571991,37783259,37783258,38652712,38652711,48568421,258377645,50539045,40503881,31808478,24293471,17911414,17911416,255596373,12689671,17911430,24293496,31808515,40503919,31808502 Dl.O(d2) = 257214137,259048523,80301998,66872637,66872638,259132453,108646503,122911526,259987006,108646508,94358504,80302000,270632983,122911534,108646508,94358504,94358503,108646506,122911530,262447363,146229388,260254362,104971113,104971115,109363773,259553180,81150348,67684525,55344843,44498496,35120926,35120928,32318638,32318639,257111793,49452780,39520511,255989633,17193318,17193317,23475185,27104741,27104742,35193921,44571991,37783259,37783258,38652712,38652711,48568421,258377645,50539045,40503881,31808478,24293471,17911414,17911416,255596373,12689671,17911430,24293496,31808515,40503919,31808502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14599513, s2 = 10197754, dlinesl.size( ) = 2 s1 = 14599513, s2 = 10197754, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14599513, Dl.E( ) = 10, 3.1e-06 seconds used appending s1 = 15156871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2009923, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8321255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8321255, s2 = 6863857, int(edited[s2]) = 0 s1 = 8321255, s2 = 6863857, d1 = 5, d2 = 6 Dl.O(d1) = 24899660,24899659,22563987,22563986,256416641,256417540 Dl.O(d2) = 259397601,258527880,257307912,256217254 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6682325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682325, s2 = 9666117, int(edited[s2]) = 0 s1 = 6682325, s2 = 9666117, d1 = 18, d2 = 55 Dl.O(d1) = 257287133 Dl.O(d2) = 149899618,264118021,264675706,264245197,199074693,263187724,162111673,261219492,108662664,94375216,80319737,80319738,94375218,108662669,122927098,128364845,128364846,141711952,154360937,263930443,176742022,176742021,264527521,265010447,265505319,226379919,265852225,231275767,266239866,237139008,265758410,238580847,238580848,238580849,239208598,266147650,238580847,238580848,237894550,237428777,237139008,236309389,265249802,233311928,232104584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6682325, s2 = 9666117, dlinesl.size( ) = 50 s1 = 6601077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6601077, s2 = 14276891, int(edited[s2]) = 0 s1 = 6601077, s2 = 14276891, d1 = 15, d2 = 0 Dl.O(d1) = 256420686 Dl.O(d2) = 18559623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6601077, s2 = 14276891, dlinesl.size( ) = 8 s1 = 14882586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14882586, s2 = 8398140, int(edited[s2]) = 0 s1 = 14882586, s2 = 8398140, d1 = 8, d2 = 15 Dl.O(d1) = 58297605,71012970,58297611,46931564,46931562,58297610,71012976,84577735,270809718,259994589,127665441 Dl.O(d2) = 254887655,18106761,256066689,40892027,32118155,32118154,40892026,51029591,57743763,57743762,70438739,83965782,70438746,70438745,70438748,257392913,46393261,46393262,57743749,46393247,36532677,28066161,28066160,256814505,57743746,46393245,257392909,42049657,42049654,42049653,52393379,269984965,77398235,64248484,52393380,42049655,42049656,42049658,33101014,33101013,42049660,52393385,64248490,52393389,256637091,255658929,254918435,5983372,3741427,2239849,1298894,741285,741284,1298892,2239846,3741422,5983358,5984599,5984600,9145231,255257213,9143544,5983440,3741461,2239874,2239873,3741460,5983437,9143540,7735334,4897417,4897418,4906490,2957285,2953947,2953946,4901174,4906602,2957361,1714834,974343,548514,307037,307038,548517,974351,1714861,2957418,2903006,2903009,2903065,2903241,2903242,4817575,4891102,2947455,1709391,971662,971663,971674,971677,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895231,4803624,5683613,8730198,12838219,255403965,28684369,257446565,71205118,64605228,52704686,52704687,258417095,91715947,105923415,120135465,133977213,261983697,170887154,170887153,170887156,170887155,181006161,272357036,261404428,261941342,175243413,260835628,139902138,139902137,152610037,152610038,139902140,126539045,260239372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14882586, s2 = 8398140, dlinesl.size( ) = 20 s1 = 2071786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8298277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8222986, s2 = 11265492, int(edited[s2]) = 0 s1 = 8222986, s2 = 11265492, d1 = 42, d2 = 23 Dl.O(d1) = 268702262,52163580,52163581,43863549,34592984,255730206,256726158,66927992,66927991,80354049,260379871 Dl.O(d2) = 258470762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8222986, s2 = 11265492, dlinesl.size( ) = 8 s1 = 2423961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2424271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6682767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682767, s2 = 13406956, int(edited[s2]) = 0 s1 = 6682767, s2 = 13406956, d1 = 22, d2 = 32 Dl.O(d1) = 257291059 Dl.O(d2) = 61775601,74559167,88174087,88174095,74559171,74559172,88174096,102164956,116225961,130136474,116225970,102164962,102164963,88174114,254866654,61775609,74559183,88174112,88174093,74559170,61775603,50296035,40275208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6682767, s2 = 13406956, dlinesl.size( ) = 48 s1 = 1368776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2756643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2425268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2425737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3601025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10182444, s2 = 3602481, int(edited[s2]) = 0 s1 = 10182444, s2 = 3602481, d1 = 39, d2 = 46 Dl.O(d1) = 261337840,125414096,111615210,111615209,98457085,84535505,254882470,38582340,254882472,256561886,17230670,17230672,23538569,23538572,23538571,22172270,16048220,16048221,22172278,29513620,22337697,16190075,11254046,11254045,16190074,22337695,29690207,38255450,48164757,59551329,255088304,85877473,85877449,72285413,59551300,48164718,48164717,59551298,72285411,59551338,48164748,48164749,59551340,72285455,60152055,48757909,48757908,60152053,72113518,59380858,59380859,59551315,59551331,72285448,60152057,60152056,72888165,86483280,99599251,100440335,114464626,100440334,100440333,99599258,99599257,113614215,105035952,105035953,119228537,258755482,139866378,126499711,112634353,98637493,84707256,84707255,98637490,86483288,72888175,60152062,60152061,72888173,76978545,63867332,63867334,61688815,50206106,44490196,35113375,27026907,27026908,35113377,44490199,37844454,256221824,41466508,50528503,40492963,31798013,31798014,40492956,31798005,24284070,17903356,17903357,24284073,29679412,29277466,29277467,37844450,29277485,29277486,37844466,29277492,21953534,21953535,29277533,31798021,31798020,29277539,21953540,21953541,255439317,10994487,10994488,15862506,21953521,29277482,37844463,37844486,29277501,29277502,37844487,47767129,59165848,47767078,47767079,47767161,47767123,47767122,47767121,269801723,47767111,38244239,38244240,38244209,29679398,29679397,38244207,29679446,22328081,16182006,11247896,11247897,16182008,22328085,29679436,38244266,48153146,49295621,39368231,38244246,38244247,48153113,258131683,59165869,258102845,60697005,60697006,73444914,72831844,60094592,257044700,50086335,40064885,31382115,31382116,40064887,50086339,58640887,47247781,47247779,48110751,48269343,38358977,38358978,48269344,55482785,44632697,35248286,27149915,27149916,35248288,44632699,55482786,59655931,59704772,48317904,38407085,29835134,29835135,38407087,48317909,49335593,49335592,55199870,55199869 Dl.O(d2) = 123518411,258552464,150288307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10182444, s2 = 3602481, dlinesl.size( ) = 48 s1 = 16306853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6683410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2429014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2429014, s2 = 1200561, int(edited[s2]) = 0 s1 = 2429014, s2 = 1200561, d1 = 7, d2 = 75 Dl.O(d1) = 67562257 Dl.O(d2) = 41318783,51540088,63256651,76276035,90088663,104221617,118382091,114642990,100605067,86637877,73036308,256069752,48903173,38981716,30394251,22990732,16752226,11706008,7808740,4952773,4952772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2429014, s2 = 1200561, dlinesl.size( ) = 22 s1 = 9422868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9422868, s2 = 2760228, int(edited[s2]) = 0 s1 = 9422868, s2 = 2760228, d1 = 0, d2 = 0 Dl.O(d1) = 256369248,34990778,256369250,55220337,67563982,81033206,95091341,109345508,123537275,137268308,150309244,263022923,191864476,263525964,210637688,214854420,218324686,221241698,223740630 Dl.O(d2) = 256369248,34990778,256369250,55220337,67563982,81033206,95091341,109345508,123537275,137268308,150309244,263022923,191864476,263525964,210637688,214854420,218324686,221241698,223740630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9422868, s2 = 2760228, dlinesl.size( ) = 2 s1 = 9422868, s2 = 2760228, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9422868, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14370007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2429554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2760838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2760838, s2 = 8167458, int(edited[s2]) = 0 s1 = 2760838, s2 = 8167458, d1 = 5, d2 = 7 Dl.O(d1) = 81045961,259153627 Dl.O(d2) = 123548988,137280976,129784948,115886700,256738926,87869970,74268189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2760838, s2 = 8167458, dlinesl.size( ) = 2 s1 = 2760838, s2 = 8167458, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2760838, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2430470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16362477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16362477, s2 = 2430513, int(edited[s2]) = 0 s1 = 16362477, s2 = 2430513, d1 = 11, d2 = 11 Dl.O(d1) = 200189263,192998249,184615685,184615683,175015999,175016000,263085914,200189262,206261121,262642560,200189233,192998218,192998219,200189236,206261121,262642560,200189260,200189235,200189236,262642562,200189265,200189264,192998249,184615685,184615683,175015999,164201267,152318924,152318925,260507780,164201229,152318885,258035088,112356569,98374456,84465326,255388586,255218934,41866574,32934413,25217454,18651369,18651370,25217456,27099040,24149627,24149626,254294648,32934410,41866569,52194204,64032139,77168902,91080223,105294176,116514409,102418973,88418573,74786974,61990585,50498770,40462793,31768145,31768144,35187793,44566126,55413735,67754120,81220489,95278040,95111846,81054425,67586871,255289556,35021792,254944146,31780132,40474765,257099068,88429901,102431396,116528290,260153696,156223633,167817819,178260320,187445961,195468275,202329544,264828261,264828262,222683529,225018471,227046260,226773616,265111538,219558569,216278482,212321772,263747036,194625441,186476215,177125891,166548754,154844338,142208608,142208609,142208611,128850827,114950241,100897534,86916847,73306442,60562847,49163054,39236276,30638200,30638201,257015543,60562852,73306443,86916849,100897535,114950243,128850828,142208613,154374628,141727626,128382361,114508066,100484364,86525937,72927702,60188392,256991021,30283756,22885958,22885959,22885961,30283758,38869582,48791824,60188394,72927703,79242344,65877893,53809723,43284723,34187804,26315954 Dl.O(d2) = 200189263,192998249,184615685,184615683,175015999,175016000,263085914,200189262,206261121,262642560,200189233,192998218,192998219,200189236,206261121,262642560,200189260,200189235,200189236,262642562,200189265,200189264,192998249,184615685,184615683,175015999,164201267,152318924,152318925,260507780,164201229,152318885,258035088,112356569,98374456,84465326,255388586,255218934,41866574,32934413,25217454,18651369,18651370,25217456,27099040,24149627,24149626,254294648,32934410,41866569,52194204,64032139,77168902,91080223,105294176,116514409,102418973,88418573,74786974,61990585,50498770,40462793,31768145,31768144,35187793,44566126,55413735,67754120,81220489,95278040,95111846,81054425,67586871,255289556,35021792,254944146,31780132,40474765,257099068,88429901,102431396,116528290,260153696,156223633,167817819,178260320,187445961,195468275,202329544,264828261,264828262,222683529,225018471,227046260,226773616,265111538,219558569,216278482,212321772,263747036,194625441,186476215,177125891,166548754,154844338,142208608,142208609,142208611,128850827,114950241,100897534,86916847,73306442,60562847,49163054,39236276,30638200,30638201,257015543,60562852,73306443,86916849,100897535,114950243,128850828,142208613,154374628,141727626,128382361,114508066,100484364,86525937,72927702,60188392,256991021,30283756,22885958,22885959,22885961,30283758,38869582,48791824,60188394,72927703,79242344,65877893,53809723,43284723,34187804,26315954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16362477, s2 = 2430513, dlinesl.size( ) = 2 s1 = 16362477, s2 = 2430513, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16362477, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 9534532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14563153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14563153, s2 = 7959514, int(edited[s2]) = 0 s1 = 14563153, s2 = 7959514, d1 = 1, d2 = 1 Dl.O(d1) = 67588522,67588523,256739952,32387897,24766757,22092644,22092642,22155909,16035162,254747432,4665592,7385074,9867638,9867637,268047752,22156236,21826787,15759003,10913675,10913676,15759009,15210540,10492204,6918679,4346409,4346408,6918674,10492185,15210503,21168042,21168043,28386245,29129858,29129859,29129945,25778539,19137463,19137462,25778536,29926432,27151795,20241089,14524311,9993795,9993794,14524308,20241083,15103747,15103746,16547456,11533433,7672901,7672904,11533443,16547461,22759536 Dl.O(d2) = 67588522,67588523,256739952,32387897,24766757,22092644,22092642,22155909,16035162,254747432,4665592,7385074,9867638,9867637,268047752,22156236,21826787,15759003,10913675,10913676,15759009,15210540,10492204,6918679,4346409,4346408,6918674,10492185,15210503,21168042,21168043,28386245,29129858,29129859,29129945,25778539,19137463,19137462,25778536,29926432,27151795,20241089,14524311,9993795,9993794,14524308,20241083,15103747,15103746,16547456,11533433,7672901,7672904,11533443,16547461,22759536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14563153, s2 = 7959514, dlinesl.size( ) = 2 s1 = 14563153, s2 = 7959514, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14563153, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2431042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9397078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2762096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2081272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2431564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8334359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8334359, s2 = 8386669, int(edited[s2]) = 0 s1 = 8334359, s2 = 8386669, d1 = 8, d2 = 10 Dl.O(d1) = 112279818,126138954,139513788,152245288,164132111,174953413,184559894,184559904,184559903,192948537,200144251,273697823,184559895,184559894,184559904,184559903,184559866,174953415,164132113,152245289,152245290,164132114,174953417,273094463,164132117,152245293,139513791,139513780,139513781,152245279,164132103,174953407,184559888,184559899,192948558,192948561,192948547,184559886,174953406,174953346,174953345,184559849,192948524,200144242,192948532,184559853,184559854,192948533,192948557,200144263,200144239,200144238,200144243,200144257,200144258,200144233,192948514,192948515,184559846,184559841,174953393,164132090,152245267,152245266,152245285,152245286,164132107,174953337,164132036,164132037,174953338,174953335,164132035,164132034,174953333,184559838,174953330,164132032,152245228,152245227,164132030,174953325,184559834,184559833,192948507,200144224,264198858,200677290,193563689,263124696,262204252,153199757,140516595,127169826,113310102,99306550,85361603,71771827,59029179,268932750,37704366,255430840,15767150,10919796,10919795,15767149,21836429,28755649,34005235,255057004,255057998,254750954,15766555,254751010,15772135,10924649,7226497,7226498,10924652,15772137,21841768,29149950,37710200,47632414,59034671,52326696,41986052,34651050,34651049,43924253,37489244,37489245,38044900,38742354,33461295,33461294,26659704,19845451,19845452,26659706,34651052,43924256,52262674,41924323,41924322,47957987,47957969,38044847,29481672,22143846,22143847,29481674,29481687,256384099,29481703,29481705,38044888,255541370,37489238,28946632,28946631,36639396,46506655,57862785,70564381,72082154,59348809,47958009,38044895,38044896,47397668,57806698,46450794,36585047,28112558,28112557,36585045,46450788,57806696,49946575,49946574,49946584,49946583,52364671,52364670,43009139,33952319,254712186,53487235,65510623,70564379,255649504,57630348,57630347,58785724,58785725,60636072,65872549,61424371,49946558,49946559,52332600,52332599,256811860,71578723,58853518,47469478,47469479,58853520,71578726,72698843,59960823,59960824,58785713,58785714,71515835,71515834,85088342,85487644,85088341,84360607,84360608,85668436,85668437,85088347,71515845,58785720,48568595,38652869,30076231,22695527,22695528,30076233,38652873,48568603,59960834,58102833,256411316,21137174,15186955,15186954,21137169,28350651,30463200,23055026,23055027,30463205,39052811,37655162,37077462,37077463,46599874,39058497,30468024,30468023,39058494,31185725,23696077,17374039,12242168,8267558,5334451,3279072,1928737,1101979,618476,618477,1101982,1928744,3279083,5334474,8267594,12242224,17374122,23696194,31185854,39868287,46587000,57963578,51206883,41050057,32256176,32256177,41050061,51206888,53819961,53819960,62856582,51206870,51206871,58679618,58679619,58679620,58679621,47288508,47288479,37378940,28838766,21567253,15545073,15545072,21567251,28838780,37378957,257458447,71413468,62856584,62856586,60171212,48776797,38856747,255937740,22875262,30272383,38856732,48776778,60171181,71373105,60008371,48618562,38704026,256976437,48618676,48618677,50432818,61922670,64765615,52845824,42441423,42441422,52845821,256165026,31468633,23973049,17625118,17625116,15753115,15753114,21819469,23762898,23762899,31247218,39922795,49940541,41534918,32647351,24975812,18978836,18978837,24277155,31790860,32593339,32593340,41470387,43321509,34223478,31666092,24156755,17789739,17789737,24156753,31666079,31666080,36430767,27972078,27972079,31666102,24156761,24156762,268525585,19620177,19620178,26349323,34223456,43321490,53845883,52845806,52845805,53135175,53819535,43294532,36916554,36916555,46794356,58161925,49100816,39170434,30572171,30572170,39170432,37995208,34223959,256186270,19620604,26349831,34223961,43321937,51336612,43294511,34196881,34196880,34196915,26324245,26324243,34196912,33347826,256655061,49790795,61269653,70436899,60731917,49330103,39402016,30798805,30798804,39402014,37472195,37472196,46417886,258005995,46417875,36554648,28085672,28085671,28085678,20912519,20912520,28085680,36554663,257399757,28119924,36592954,46459123,57815202,53330777,42869527,33828333,26010373,19336190,13827492,9483355,6218519,6218520,9483356,10545608,6954829,4369838,2618057,1511565,857090,483994,483992,857084,1511549,2618029,4369787,6954743,9265058,9265059,6953358,4370265,4370266,6943856,6955577,6936057,4369885,4369881,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198731,6561407,6561409,9982894,13522656,13522655,17153494,12066154,12059481,8108376,254828427,17156056,268438830,15474700,15474699,21477187,28734435,37266627,47172704,58561688,257208906,65835266,53775106,43259289,34169140,26301105,19577879,19577878,26301104,33650310 Dl.O(d2) = 53131285,65116701,78398951,256702556,58360279,64763870,52843877,42439274,33446187,25675383,19053661,13601895,9313732,6101041,254302953,757327,430454,242985,134322,73019,73024,73403,39724,39719,73379,134945,133877,133875,242071,428886,754826,759934,759937,759963,759961,1330859,2287602,1327615,1327617,2278756,2276652,2276656,2053372,1327460,1327461,2288076,3164329,1852312,1057088,594368,331346,331344,594352,1057050,1852219,3164157,5186518,8095570,5186829,3164387,3164391,5186866,6116432,6116429,9314459,13582559,9300236,6123925,6123927,3831554,3831550,2941824,1706057,969812,969809,1706045,2941799,3834485,3834482,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,6120779,9344689,9344690,13646699,19036431,13588410,9304281,6094797,3813278,2284239,2284238,254449703,9304275,13164620,18528699,13592506,13592507,19036581,17822193,255278099,13636745,19037782,13589644,9305059,6095220,6095221,9305063,13589647,19037789,25656334,269089257,25660335,255274121,13592328,15201961,10485372,6913195,4341938,4341936,6913186,10485346,15201915,21157620,19114614,19114613,20063662,14379394,14379393,19125245,13655343,9350809,9350812,13655352,19125260,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,16265493,22433212,25698734,25704074,19077556,19077555,25704072,25623981,19009378,13567099,9289047,9289048,268300579,24242825,24242826,31754575,256151516,255279966,28262410,21060403,21060402,268605553,42574073,39827980,257635463,39827980,31145834,31145833,35041209,35041210,269191071,67604746,81072794,259784167,81072786,67604737,67604736,67604744,258867371,74116621,67604741,55263071,49851418,49851417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8334359, s2 = 8386669, dlinesl.size( ) = 2 s1 = 8334359, s2 = 8386669, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8334359, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 9399898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9124515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9246030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14573821, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9663902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9663902, s2 = 9661978, int(edited[s2]) = 0 s1 = 9663902, s2 = 9661978, d1 = 50, d2 = 43 Dl.O(d1) = 191905358,183338653,260746798,95152274,81094943,67629454,67629453 Dl.O(d2) = 257678634,258287824,116415879,116415880,260149448,116415875,258287828,67629454,55291644,50894636,254871902,24460653,24460654,24899555,32548966,36925687,28427033,21203434,21203433,17843468,12635719,8579259,5574317,3457926,2050003,2050004,1175725,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188598,254245034,7911345,7911344,11837785,12028660,8086752,5181271,3161335,3161337,5181277,8086411,5181106,5181105,267942193,6374388,9691249,255307419,26391634,34267984,255593666,255569453,17573535,23915861,24259682,17882190,12666051,8601643,254420965,2056250,2056249,3467779,5589602,8601633,256159466,12705154,9372070,7266834,7266835,10978817,15842737,21929510,26923255,26923256,24841741,20137806,20137807,27030365,259158303,67630435,55292523,44448097,35073294,26989218,26989219,35073297,257309431,67630440,81095975,269920184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9663902, s2 = 9661978, dlinesl.size( ) = 38 s1 = 9703662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2177613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8333561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9138986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9138986, s2 = 6781829, int(edited[s2]) = 0 s1 = 9138986, s2 = 6781829, d1 = 58, d2 = 45 Dl.O(d1) = 72716663,81115597,67649187 Dl.O(d2) = 258391836,47192604,37284062,37284064 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13448091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2435376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6477375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6684565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9340250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2436891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2437335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2437335, s2 = 6935786, int(edited[s2]) = 0 s1 = 2437335, s2 = 6935786, d1 = 1, d2 = 14 Dl.O(d1) = 67697939 Dl.O(d2) = 260403907,260309702,89168812,90079029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2437335, s2 = 6935786, dlinesl.size( ) = 2 s1 = 2437335, s2 = 6935786, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2437335, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 6845613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2768243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6547325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1381583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1381583, s2 = 6986423, int(edited[s2]) = 0 s1 = 1381583, s2 = 6986423, d1 = 0, d2 = 7 Dl.O(d1) = 35144206,257315551,67705991 Dl.O(d2) = 95227684,260996323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1381583, s2 = 6986423, dlinesl.size( ) = 2 s1 = 1381583, s2 = 6986423, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1381583, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6986422, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10162166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10162166, s2 = 8733374, int(edited[s2]) = 0 s1 = 10162166, s2 = 8733374, d1 = 1, d2 = 1 Dl.O(d1) = 27066164,255170206,44528125,256009482,67714151,81179375,95234981,109488288,123679583,137410177,150449169,162577150,173606865,183400675,191962319,199327391,205558708,210712053,214921521,218384595,264560286,221294569,223787226,225947864,265242366,230960332,232279524,233470459,234551960,235434431,234443608 Dl.O(d2) = 27066164,255170206,44528125,256009482,67714151,81179375,95234981,109488288,123679583,137410177,150449169,162577150,173606865,183400675,191962319,199327391,205558708,210712053,214921521,218384595,264560286,221294569,223787226,225947864,265242366,230960332,232279524,233470459,234551960,235434431,234443608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10162166, s2 = 8733374, dlinesl.size( ) = 2 s1 = 10162166, s2 = 8733374, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10162166, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9142397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1407907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1407907, s2 = 11437436, int(edited[s2]) = 0 s1 = 1407907, s2 = 11437436, d1 = 54, d2 = 83 Dl.O(d1) = 36600661,36600662,46467460,57824218,67717369,256750734,109490312 Dl.O(d2) = 199141200,191742316,183137270,173292246,273050763,149991141,149991140,162198652,149991141,136857237,123026121,108756877,94463355,270845214,43970007,43970006,34694741,26700134,19879388,14243471,14243470,19879386,26700132,34694738,29260679,29260678,30717150,37276444,34680820,34680821,42395413,42395412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1407907, s2 = 11437436, dlinesl.size( ) = 8 s1 = 8221610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2439656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8484185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13408627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13408627, s2 = 2770605, int(edited[s2]) = 0 s1 = 13408627, s2 = 2770605, d1 = 8, d2 = 1 Dl.O(d1) = 37850410,37850411,47773467,44566473,44566472,55414026,67754097,55413704,44566099,35187769,35187770,44566101,44566138,35187802,27099009,20199518,20199519 Dl.O(d2) = 81220557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13408627, s2 = 2770605, dlinesl.size( ) = 2 s1 = 13408627, s2 = 2770605, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13408627, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 13536881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6846159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2958579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13505027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2753169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3358390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208095, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2443913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9449019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2775099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2775099, s2 = 12641233, int(edited[s2]) = 0 s1 = 2775099, s2 = 12641233, d1 = 15, d2 = 5 Dl.O(d1) = 81499935,68016727,55629902,44731874,35312454,27192705,27192704,35312453,33305564,33305563,29597161,22248124,16110525,254770411,7424996,11190480,16110521,21052684,15121988,15121986,15121992,21052690,28248485,255377071,4316033,4316034,6875341,10428217,15118774,21048341,21056807,24508441,24508440,20781860,20781861,27934543,36378959,255588542,21053198,21053197,23553184,255156767,12127017,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103847,20103846,26994546,35079241,43918430,42464026,42464027,39215230,39215229,49141992,60541882,73285545,72829944,60092607,48696228,38773977,30190288,22800390,255414674,11418294,16401995,16620518,11593338,7717301,255117077,22843512,29959559,22594980,16411746,11427498,11427497,7727570,4891383,4890998,4890996,4629923,2789220,2789222,4629926,7329182,7733429,11613866,16421527,11621347,7739718,254800541,9117077,5965268,3730517,2233473,2233474,3730521,2451970,2451966,4098837,2957071,2957072,254549685,7747455 Dl.O(d2) = 98286291,84376897,259278779,112268115,98286292,84376897,84376898,98286294,112268119,98286292,84376897,84376898,98286293,84376900,84376894,70817996,70817997,259898001,98286290,112268118,126127317,139502166,263480717,264455295,215342550,218735258,273575726,217509367,262807288,209337719,203865558,197309857,189623839,180728316,170599231,159264229,146893529,133640532,119771245,105538291,91320693,255170446,52396986,42052875,254400474,25368951,18785044,13379522,9145057,5984474,3742065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2775099, s2 = 12641233, dlinesl.size( ) = 2 s1 = 2775099, s2 = 12641233, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2775099, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 10179903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10179903, s2 = 395378, int(edited[s2]) = 0 s1 = 10179903, s2 = 395378, d1 = 4, d2 = 0 Dl.O(d1) = 44745706 Dl.O(d2) = 10006085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10179903, s2 = 395378, dlinesl.size( ) = 28 s1 = 9180382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9180382, s2 = 1135082, int(edited[s2]) = 0 s1 = 9180382, s2 = 1135082, d1 = 7, d2 = 5 Dl.O(d1) = 99745829,113759966,260211908,79117623,79117622,93234498,107638226,122013283,135941462,149165971,135941469,122013288,107638228,93234500,79117624,79117625,93234503,107638209,93234488,79117614,258969606,65761372,79117616,93234489,99148679,258055244,71660648,68052784,68052783 Dl.O(d2) = 29103044,37652014,47557301,258088053,71660637,71660636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9180382, s2 = 1135082, dlinesl.size( ) = 2 s1 = 9180382, s2 = 1135082, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9180382, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 7899736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2775678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2445534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351663, s2 = 9738809, int(edited[s2]) = 0 s1 = 10351663, s2 = 9738809, d1 = 8, d2 = 8 Dl.O(d1) = 259982260,259362165,113592888,127468438,126796978,112942955,98953677,98953676,261391466,119731906,105493305,259647378,103881233,89779743,76002311,63018868,51337846,41152541,32337228,256591389,29343031,22011025,22011026,29343032,37912220,29343080,29343081,37912276,37912270,29343072,29343073,37912269,37912268,47834076,50155409,61638830,74420230,88030470,102013170,116067848,129973610,143303966,155848507,167468825,177948324,187204593,192042526,183493064,173714660,260049630,137611096,123933116,109797333,95595409,81562056,68072164,257819882,35337519,27213216,20284688,14554782,14554781,20284686,27213214,30470895,32946493,25227628,18659478,13268201,9053504,5918318,3700089,3700087,4464545,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,29568475,38134649,48048122,59439926,58436843,47061394,37169673,29136282,25132289,18579567,18579565,22222099,19816099,19816098,26627071,29136331,21829060,15761035,10915366,7218945,4548390,254512305,10915355,15761018,19233935,25893568,33699612,42729381,40469800,31774969,26628486,19817277,14195328,14195327,19817275,26628483,256141420,28422157,28422156,36920212,40155341,40155342,255454848,256388612,28283561,21078218,21078219,28283565,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,10463509,6897210,6897206,10463490,15171565,15171700,10463557,10463558,15171404,10463409,6897164,4329553,2590159,2590158,4329532,2590152,2590153,4329535,6897135,10463354,15171291,21117939,28328208,28328321,28328319,28834675,21563603,15541976,15541977,21563606,21529505,21529504,25808272,31640547,24133406,24133407,24133384,17769713,12575105,12575107,17769718,24133387,19460496,19460497,255281416,19460876,13927102,13927103,15892492,15892493,255018840,24556845,32138480,33590428,33966805,26128322,19433490,13905248,9542972,6260991,5440493,5440490,8428097,8589543,12651106,17864938,17845154,17845153,19468343,26169202,34010978,43068734,53547725,65572498,78907454,93017451,107425985,107425981,257031194,65572496,78907451,93017449,107425983,121808402,135747725,126859326,113006777,99018348,85093096,71520869,58791271,47403769,37495997,37495996,42328887,33347502,33347501,42328885,52716003,64616256,77798764,91726542,270137128,120146060,133987336,147209867,159568802,261555646,189891572,191924558,199291686,205524909,206761697,200769629,263027184,185385379,175893704,165184058,260990486,140698310,127342448,113473055,99462870,85517004,71929422,59189825,47789672,37865159,29295972,21969504,15876147,11005053,8870792 Dl.O(d2) = 259982260,259362165,113592888,127468438,126796978,112942955,98953677,98953676,261391466,119731906,105493305,259647378,103881233,89779743,76002311,63018868,51337846,41152541,32337228,256591389,29343031,22011025,22011026,29343032,37912220,29343080,29343081,37912276,37912270,29343072,29343073,37912269,37912268,47834076,50155409,61638830,74420230,88030470,102013170,116067848,129973610,143303966,155848507,167468825,177948324,187204593,192042526,183493064,173714660,260049630,137611096,123933116,109797333,95595409,81562056,68072164,257819882,35337519,27213216,20284688,14554782,14554781,20284686,27213214,30470895,32946493,25227628,18659478,13268201,9053504,5918318,3700089,3700087,4464545,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,29568475,38134649,48048122,59439926,58436843,47061394,37169673,29136282,25132289,18579567,18579565,22222099,19816099,19816098,26627071,29136331,21829060,15761035,10915366,7218945,4548390,254512305,10915355,15761018,19233935,25893568,33699612,42729381,40469800,31774969,26628486,19817277,14195328,14195327,19817275,26628483,256141420,28422157,28422156,36920212,40155341,40155342,255454848,256388612,28283561,21078218,21078219,28283565,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,10463509,6897210,6897206,10463490,15171565,15171700,10463557,10463558,15171404,10463409,6897164,4329553,2590159,2590158,4329532,2590152,2590153,4329535,6897135,10463354,15171291,21117939,28328208,28328321,28328319,28834675,21563603,15541976,15541977,21563606,21529505,21529504,25808272,31640547,24133406,24133407,24133384,17769713,12575105,12575107,17769718,24133387,19460496,19460497,255281416,19460876,13927102,13927103,15892492,15892493,255018840,24556845,32138480,33590428,33966805,26128322,19433490,13905248,9542972,6260991,5440493,5440490,8428097,8589543,12651106,17864938,17845154,17845153,19468343,26169202,34010978,43068734,53547725,65572498,78907454,93017451,107425985,107425981,257031194,65572496,78907451,93017449,107425983,121808402,135747725,126859326,113006777,99018348,85093096,71520869,58791271,47403769,37495997,37495996,42328887,33347502,33347501,42328885,52716003,64616256,77798764,91726542,270137128,120146060,133987336,147209867,159568802,261555646,189891572,191924558,199291686,205524909,206761697,200769629,263027184,185385379,175893704,165184058,260990486,140698310,127342448,113473055,99462870,85517004,71929422,59189825,47789672,37865159,29295972,21969504,15876147,11005053,8870792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351663, s2 = 9738809, dlinesl.size( ) = 2 s1 = 10351663, s2 = 9738809, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10351663, Dl.E( ) = 10, 7.15e-06 seconds used appending s1 = 10215123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6962629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6962629, s2 = 15997198, int(edited[s2]) = 0 s1 = 6962629, s2 = 15997198, d1 = 21, d2 = 37 Dl.O(d1) = 260659870,123937717,109801381,95599140,81565533 Dl.O(d2) = 153044818,260347098,136266424,122291688,107877295,93449137,79318304,65954503,53887815,43363788,34263941,34263940,26387466,19652980,14086827,9689336,6373367,3999232,2396797,1387078,788885,446860,446859,788881,1387070,2396776,3999186,6372646,3998911,3998912,5573546,8577917,9687951,8915206,5817930,3629251,3629252,5817936,8915219,13082898,17309508,12185655,8216246,5286410,5286407,8216238,12185643,14197566,9759747,9759746,267821908,16565292,16565290,22780741,16653943,16653942,22882698,21482105,21482104,26391491,19657098,14089948,11836998,7910909,5029142,5029140,7910905,7911935,11837078,8087894,8087296,5181580,5181578,8087289,8087942,5182786,3162088,3161535,3161534,4646032,2798652,1623470,1623471,2798656,4646044,6732694,4218156,4218155,6732688,10247056,14903469,17720143,16564242,16564241,13017763,13017764,15159061,10454278,6891329,4326112,4326114,6891335,10454391,10454394,10454335,7911870,5029655,5029654,7911869,11838631,15477975,10703393,7676407,4857326,2927178,1697972,1697974,2927185,4857337,7676431,11538503,16554233,22768150,30156428,38738994,37739615,29178733,29178732,31088080,23603695,23603694,31088078,39766620,49786407,61265445,74045196,87648290,101615131,115655954,129542112,142860948,155443579,167083777,177589767,186877326,181398550,171377097,160157896,147909799,134792004,120996001,106743445,258901270,78402102,92438395,106743443,102620290,102620289,102620276,260167199,102620282,102620277,88614142,259552841,116716121,116716128,102620284,102620283,116716127,261335013,260960266,102620309,260167203,130550509,262849541,136354138,122370138,261527231,136354134,136354142,149620213,143868550,130550504,259744638,102620308,116716164,130550506,143868552,156384626,273177791,195578791,187573074,182955253,173070371,161918024,161918025,173070372,263416341,199009815,273589729,178376797,187573067,178376793,178376792,263416342,187573073,195578782,187573064,263655101,202423550,264408302,273669320,187573069,187573070,195578786,195578781,195578780,202423546,208174934,212918151,216796146,220009935,220009945,216796158,216796157,220009942,274365457,227078430,228845773,230402475,231785781,233028483,234152022,235174237,236104832,236951921,274714294,236104826,236951915,237723807,274714292,236104821,235174225,266456255,236951908,237723803,236951911,236104823,235174229,235174230,236104825,266617909,238425120,266709708,238425114,274819989,239064605,239064603,239064604,239064597,239064598,239652269,240196429,240699557,266939746,266972853,241165594,241597170,274872682,241165593,241165589,266889042,240196433,240699560,241165596,267059839,241597163,241165585,241165584,266987136,240196420,240196412,240196413,240699544,266889036,239652241,239064571,239064572,239652242,239064577,238425100,237723784,236951892,236951893,266689721,239064585,239652258,266833852,266639682,237723783,238425099,274819987,239064569,238425097,238425096,239064567,239652236,240196395,266833854,274837421,240699550,266987132,241165573,240699524,240196389,240196391,240699527,241165576,241597159,241311210,241311211,241597152,241597154,241597153,241996376,241597164,241311213,241311212,241733213,267111170,242364872,242707380,267179404,243026802,242707384,242364868,242364867,242707381,242933084,242605298,242605299,242605302,267158818,242605304,242605303,267191022,242605309,242605301,242253133,242253132,242605300,242253139,241872611,241872610,242253137,242605306,267086918,242253118,267046508,241460028,241015668,240535619,240535618,240535616,240018291,240018290,240535615,240535603,240535604,241015644,241460013,241460023,241015665,240535611,240018286,239460427,239460426,266907531,239460433,238856774,238199819,238199818,238856773,238856758,238199799,238199800,238856760,266665593,237478578,238199814,237478575,237478574,238199812,238199801,266733279,238856762,238856770,238199816,237478577,236684392,235812985,235812964,235812965,236684381,237478559,238199803,238199791,237478537,236684388,236684387,237478572,236684394,235812986,235812969,266330285,233805387,234855960,233805382,232650530,231372317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6962629, s2 = 15997198, dlinesl.size( ) = 26 s1 = 6846853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2776820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2776820, s2 = 7324829, int(edited[s2]) = 0 s1 = 2776820, s2 = 7324829, d1 = 23, d2 = 78 Dl.O(d1) = 81575457 Dl.O(d2) = 237588321,237588322,237588329,266355628,236803757,266254602,236803756,274700155,233955437,234995178,235941449,274640912,237588321,237588322,237588329,266355628,237588326,237588320,266145206,234995173,266025806,236803754,237588322,237588329,266355628,236803757,266254602,236803756,274700155,232814429,265432082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2776820, s2 = 7324829, dlinesl.size( ) = 32 s1 = 2446818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2777570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2447914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6724084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6724084, s2 = 14243347, int(edited[s2]) = 0 s1 = 6724084, s2 = 14243347, d1 = 12, d2 = 11 Dl.O(d1) = 257735683,76140384,78434313,65152449,53168119 Dl.O(d2) = 33688560,25882100,255285551,255285549,25882099,29643574,22291584,22291583,29643572,38210256,48120650,256766488,38210252,48120655,59508099,72242694,76370517,90200151,104355358,118542012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6724084, s2 = 14243347, dlinesl.size( ) = 2 s1 = 6724084, s2 = 14243347, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6724084, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 9731970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9731970, s2 = 7674764, int(edited[s2]) = 0 s1 = 9731970, s2 = 7674764, d1 = 71, d2 = 61 Dl.O(d1) = 256809028,20349044,20349045,18539473,254830558,27284365,20349047,14605858,10050307,6604214,4137085,2474609,1430346,1430347,2474614,4137102,6604241,10050357,14598004,10321144,10321146,14990028,17281265,17281266,14254616,14254615,14970601,10302805,10302807,14483545,9965287,6549521,6549522,9965291,13958892,16297952,16297954,22466064,28004214,32974691,27290412,27290411,254323896,14600729,14600725,11508667,7655997,4844376,2919422,2919424,4844385,7656011,11508698,15050718,15017632,10345595,10345597,15017636,20925402,20095083,14407712,9909797,6513111,4081394,4081393,6513108,9909786,14407694,20094353,255250400,6924813,6924814,6600410,6600411,10043838,10047698,6602643,270273728 Dl.O(d2) = 272102017 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2780781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6847740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2781844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2452136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13747211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13747211, s2 = 5173960, int(edited[s2]) = 0 s1 = 13747211, s2 = 5173960, d1 = 13, d2 = 11 Dl.O(d1) = 221736338,218882121,215501444,211409883,206404331,200352419,193188319,184841735,175282676,164511324,152666452,257662010,112757753,98767802,256025926,71266601,255185814,31607472,31466307,23970655,17621547,17621548,23970656,31466309,268258106,35268081,27164139,20249767,19690581,19690582,26428168,26428172,33047552,25319439,18741086,13341361,9115186,5963851,5963850,9115183,13341354,18741076,25319426,23320979,23320977,30741627,30741909,30879428,30879429,30742317,23321454,23321450,30742308,31487702,40172754,50196452,40203839,31517115,31517116,40203841,46504464,36637199,36637198,38251465,48160661,40159350,255575408,23978658,31474940,38251361,29686176,29686178,31484928,31484929,40170023,50193966,50182945,40158385,40158386,31475065,254405484,12453667,12453666,17631784,23978748,31475058,40159477,47501200,53173594,42723880,42723879,53173593,58880801,47501461,37597565,29049702,21755789,267911930,37597567,47501464,46629131,46629132,38744054,38744053,40171922,31486895,23989822,23989823,31486897,40171925,38744616,38744615,40159979,31475491,23979038,23979039,31475492,24105519,24105521,31607850,34305951,33047552,25319439,18741086,254617696,17191094,23472469,30907881,39516783,38424183,38424182,48330878,38850447,30266519,22869969,22869971,24531029,24531030,32107509,32107370,32107369,40159159,40159160,47211640,37305069,29814020,22446330,22446328,26703548,34698047,29851310,24530974,18098577,18098576,24530966,32107431,38420248,29852227,29852228,38420253,38420438,48328786,48214901,38304913,38304914,48159686,38304063,38304064,38304819,29852513,22486880,16314379,11350637,11350636,254647512,29735884,22378824,16222270,11277141,7485894,4730675,4730674,7485890,11277130,16222244,22378781,16314262,16314261,21998074,16314360,11350625,7542043,4770561,2875804,2875802,4770555,7542031,11350601,16314318,22486785,29852385,268488818,40260964,31573956,31573957,40260966,33157867,25416951,18825573,13412825,9170776,6002409,3753756,2247919,1303911,1303909,2247917,1398578,795920,451076,254127,140592,76948,41882,41884,76960,140609,254157,413931,233767,233766,413924,727471,1272663,1273384,727923,727674,727675,742077,421706,237978,237977,421702,742066,1300441,2192257,1411760,812838,460719,259890,259892,455120,256466,142014,77810,42415,23419,13026,13025,23410,42398,77776,141937,256331,254116601,1274172,1271876,726808,413400,413401,726810,1271881,2191171,2441070,1411446,254151956,460781,259928,253093,139805,76350,76349,139800,139801,129518,128716,69736,41540,22900,22899,41536,76437,128656,233365,128769,69777,69778,71325,38623,38624,41528,41529,76427,139910,252517,259118,252509,139417,76081,69584,69585,38612,21261,21263,38620,23009,23010,41192,41193,75979,131470,72279,39205,39204,72275,132873,131573,71464,38720,38719,71461,131571,237019,130784,254073745,43120,78892,143585,258932,459081,810015,254318469,4726989,7479442,11267064,16208152,20265447,20265449,18881650,18881649,16209094,11267644,11267645,9921868,9921869,14423415,18678756,18678759,267823284,10033427,6593912,6593915,10033437,13454490,9201016,9201012,13454479,14444052,18885102,18885100,13458170,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5821773,5821777,8920986,13091025,18429915,24943814,28361134,28361135,36859255,46740949,57527615,57527616,70194809,83716466,97590065,111530886,261042191,272508447,163284783,174139570,183811941,192291663,264437255,264437253,215067081,265149053,221396472,223875927,226026035,224378365,221954760,219132261,215789162,211746931,206800111 Dl.O(d2) = 175961723,165259990,153460792,140780661,127424656,127424657,113553795,257028258,72007979,255533316,37958738,29394119,254825566,255533314,15955613,15938374,11059848,7333470,7333471,11059852,15938378,15967370,15967369,15949240,11068193,7338960,7338962,11068197,11077979,15134219,15947239,11066717,7339933,7339934,7340031,11069712,7340547,7340548,7339675,4636103,4634506,2791764,1619519,1619518,2791760,4634495,2794018,2794015,4638684,7336424,9780523,9775989,9775990,7340362,4636502,2792836,2792837,4636510,4637188,4637189,6003398,3754414,3754413,6003393,9172277,9203631,11068351,7339059,7339060,7336092,4634037,4634040,7336102,11064158,15944211,11078013,11078014,15961527,22066250,29390530,22059904,15955600,11073166,11073164,15955599,255883605,256379029,29625476,22274147,255196586,11206360,16131954,22038384,29369160,29780586,29623164,25490319,25490321,33239842,29377785,29377786,37943195,39708877,31031966,23550862,17242769,17242770,19853512,26669900,33302344,25540159,25540160,268749283,37004227,37004226,28506060,21286940,255028251,10583118,255823279,35051492,255851408,29394743,22064383,15959800,11076680,10455480,6891913,6891914,7337176,4634667,2791858,1619569,1619568,1619662,921167,519388,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,6025548,9203560,13458518,18885933,25489799,22038186,15935995,11058139,11058138,11075208,15958033,22062473,29304396,256198212,268439941,258016475,84119138,259886777,125754922,139095572,151798513,163672515,174504687,184148176,192593800,199861288,206005142,211085454,215238058,218659055,215267025,215267026,215267027,211131253,206074244,199956716,199956715,206074242,211131250,206074251,199956720,263073732,174675416,163858013,261622409,125933564,112100388,98141502,259269869,70696075,257408825,36712926,28220243,21025066,15100896,10414961,6865405,4308751,2576439,1483906,1483907,2576442,4308755,3817732,2287191,2287192,3817734,5981560,3740335,3740337,4460099,7084130,9072132,9072131,9095684,13314938,13271647,13271648,18663417,25232264,257177609,64059927,258072812,105339703,259942350,146690105,152843149,152843148,164679291,175437311,184981530,185028311,175488579,164735565,152904801,140214921,126868532,259709290,85104688,71533610,58804611,256683326,37509659,44507723,52921751,42511925,33512372,25733201,19100650,254921004,9280115,6078876,6078878,9280117,13328868,13328867,18723632,25298167,255307416,22600230,16416926,16406410,11422786,11422784,13379128,9144687,9144686,13379126,16403877,11419989,7590216,254463686,5965280,4796130,2891057,1678049,1678050,2891052,2891053,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899602,2899564,2899563,2896508,2896507,4805957,7597528,10384579,11421319,7591383,7591382,11421315,16405115,254794389,7685206,6471916,4055756,4055753,6471906,9852672,14341182,20023041,26391632,26391633,26391631,256188101,43367379,53891283,65958011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13747211, s2 = 5173960, dlinesl.size( ) = 2 s1 = 13747211, s2 = 5173960, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13747211, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 6759854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2452832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2452832, s2 = 10357356, int(edited[s2]) = 0 s1 = 2452832, s2 = 10357356, d1 = 17, d2 = 20 Dl.O(d1) = 70305711,259243513 Dl.O(d2) = 123813003,261566459,262606357,262606359,183820777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2452832, s2 = 10357356, dlinesl.size( ) = 2 s1 = 2452832, s2 = 10357356, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2452832, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 9519552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8171506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6687388, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9661130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9661130, s2 = 2783404, int(edited[s2]) = 0 s1 = 9661130, s2 = 2783404, d1 = 20, d2 = 12 Dl.O(d1) = 261169906,30715037,30715036,31912970,254527800,255083276,31524190,40210068,50230999,59484313,57627324,257319834,57627238,70317611,258163714 Dl.O(d2) = 83842306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661130, s2 = 2783404, dlinesl.size( ) = 16 s1 = 6532181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6532181, s2 = 10199974, int(edited[s2]) = 0 s1 = 6532181, s2 = 10199974, d1 = 8, d2 = 13 Dl.O(d1) = 255650850 Dl.O(d2) = 83859754,97718403,111638947,125441213,138769657,151470685,163354168,174206794,183876751,192352099,183876760,174206802,163354174,163354173,174206799,261421402,192352108,262918480,199650105,262918474,263708602,205824289,199650099,192352101,183876752,174206795,174206796,183876754,174206804,163354175,151470689,138769659,259640480,163354173,174206799,261421402,192352108,262918480,199650105,262918474,263708602,205824289,199650099,192352101,183876752,261957940,183876746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6532181, s2 = 10199974, dlinesl.size( ) = 2 s1 = 6532181, s2 = 10199974, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6532181, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2106786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10187729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10187729, s2 = 9467195, int(edited[s2]) = 0 s1 = 10187729, s2 = 9467195, d1 = 55, d2 = 70 Dl.O(d1) = 28341326,21129156,21129155,28341324,36838100,46720931,47652521,59053463,268740148,30001426,30001425,37427148,33080321,33080322,42024357,35217529,27124489,27124490,35217534,33079814,25348901,18767167,18767168,25348905,33079821,40185940,36700446,28209433,21016356,15094496,15094497,21016339,28209403,28441214,28441215,36700394,46587143,48484998,48485001,46587103,36700361,28209368,21016308,15094475,10410569,10410567,11457667,11457668,16444676,22631787,30001248,38571818,48485008,40186201,35217281,27124294,20220119,20219944,20219945,27124023,35216928,36473247,31501025,31501026,256808543,57675412,70367068 Dl.O(d2) = 263056681,192374804,263569558,262610299,183900442,264237656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10187729, s2 = 9467195, dlinesl.size( ) = 66 s1 = 14164538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164538, s2 = 10882762, int(edited[s2]) = 0 s1 = 14164538, s2 = 10882762, d1 = 24, d2 = 20 Dl.O(d1) = 259034493,105747755,260873767,105747751,259034491,77593160,258407459,52550388,269005676,13454590,9201076,6024080,6024079,9201073,13454587,9716812,6392296,4011544,2404172,2404171,4011539,6392285,9716794,14123655,255720983,18881002,255666427,33232245,37318496,37318497,46798044,36920160,28422100,21199306,21199307,28422102,31437462,23946232,23055336,16808871,11754118,7848095,7848093,7848113,7848115,11754148,16808909,23055390,25488762,33230954,33230953,42190547,33230241,25481549,18879251,18879252,25481551,33230243,33232190,33232189,38225304,29659131,22307027,22307028,24198931,24198929,21083671,21083670,28290091,269772155,10331431,6799579,4263969,2549309,1468556,830784,830783,1468547,2549293,3560583,5719443,3720109,3720110,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2228648,1292498,737661,737665,1292513,2228670,2536379,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238177,4238179,6762770,10287699,254998235,10281813,14947599,20848015,257386839,70368059,83892583,270788828,270333538 Dl.O(d2) = 40276597,255447832,17731419,255817146,38275544,38275545,34692162,30700120,23284415,17025258,11940219,7991322,5086444,3085768,1801504,1801505,3085770,5086449,7991334,11940243,17025278,23284382,23284381,30700081,36935763,28436740,256306673,33165891,25423336,25423337,33165893,33165876,33165874,42122179,52477222,53254990,59477389,58947955,47565109,47565108,58947949,52477151,42122116,33165817,33165818,42122097,33165792,25423291,25423278,25423276,33165776,33165796,33165795,33770525,33770526,38175504,33770405,25961365,19296052,19296051,25961359,29608564,33772623,33772624,42804849,41778472,32857912,29031667,29031668,37212783,28688237,28688236,37212778,38175494,38175495,42122190,33165881,29608888,29608890,29608684,29608683,38175525,38175426,38175425,42122094,37659006,37659007,37659017,47565103,50985642,40850879,32079032,32079034,40850883,42122086,33165786,33165772,33165773,33772583,25962964,19297158,19297160,25962970,29608658,25963009,19297185,13796686,9460632,9460633,13796692,19297191,25963020,33772628,37578915,29031678,21740429,21740428,28688247,21437880,21437879,28688244,29608640,29608642,38175467,38175710,38175519,29608680,22258184,22258182,22258061,22258060,29608551,37659013,29109234,21810352,21810351,29109229,37659001,47484495,37578949,29031707,29031706,37578944,29608631,29608630,38175484,42804820,38175874,33772602,25962983,19297169,19297172,25962988,25962977,19297166,13796680,13796679,19297163,25962975,22258137,22258138,21740467,21740438,15690210,15690209,21740434,29031685,37212772,29608938,22258572,22258574,29608942,38175612,38175437,29608556,29608554,22258065,16118619,16118620,16118606,15748364,10907042,10907043,15748368,21810359,29109244,37659022,29608618,29608619,38175477,29609147,22258817,22258818,29609149,38175878,29609108,22258764,22258765,29609113,33772610,33772609,29608591,22258084,16118650,15748372,15748371,11196720,11196721,16118713,15690228,10861865,7181360,7181359,10861862,15690224,21740461,22258582,16119179,16119180,22258584,22258290,22258288,22258276,16118861,16118625,11196653,255082961,11196849,11196850,255459869,22258107,22258108,16118783,11196778,11196779,11196781,11196782,12416387,17590541,16119349,11197220,11197223,16119342,11197217,254527656,22258157,22258158,29608220,22257766,22257765,16118919,11196893,11196892,16118822,16118888,11196867,11196866,16118883,17590576,16119003,11196970,11196972,16119008,11197323,11196811,7429392,4694625,4694623,4694713,4694641,4694642,4694654,4694655,7429433,7429549,4694732,4694594,2828605,1641161,1641163,2828610,4694607,7429371,11196787,16118700,11197229,7429672,4694801,4694802,7429679,11197238,16119366,16118738,11196738,11196739,16118385,11196467,7429457,4694675,2828643,2828644,4694681,7429477,11196871,11196872,11196946,16118977,11196980,7429507,4694699,4694697,7429445,4694749,4694635,2828626,1641168,1641167,2828618,4694621,7429384,7429511,11196856,11196759,7429552,7429554,7429329,7429328,11196701,7429363,7429362,11196766,11196891,7429451,4694842,2828726,2828708,2828709,4694809,7429686,11197253,11196750,7429350,7429349,11196745,11196939,7429705,4694822,4694824,7429465,7429464,11196909,11197394,11197049,7429559,7429557,11196674,11196673,11196977,7429586,4694757,2828680,1641197,933234,525988,525987,933228,1641182,2828655,4694707,7429521,11196998,11197103,11197104,11196695,11196694,11197261,11197260,16119396,16119051,16118914,11196885,7429741,4694836,4694834,7429736,11197245,11197244,16119383,22258164,16119067,11197021,11197023,11196963,7429497,7429496,7429717,11197117,16118928,22258353,16119158,16119157,16119108,16119110,22258090,254770978,22258857,29609175,29609273,22258958,16119502,11197349,11197350,16119504,22258793,22258794,29609131,255459840,59477544,48087671,38175654,254527662,22258384,22258785,22258520,22258519,22258841,22258842,22259254,22239340,22239341,16119269,16119268,16119430,11197303,11197073,11197075,16119139,16119194,22258537,22258538,29608923,38174806,29609087,29608592,29607983,22257524,16118177,11197186,7429649,7429650,7429618,4694782,4694784,7429628,7429629,11197149,16119211,22258615,22258937,22258788,22258790,23183762,29608926,22258904,22258905,22258877,22258875,29608958,22258593,16119188,16119187,22258514,22257871,16118486,16118487,22257876,23183755,22258751,22258701,22258700,29608916,29608412,29608411,29608919,29607821,22257383,16118068,16118069,22257389,22258777,16119314,16119313,22258771,29607979,29607977,22258719,16119277,16119276,22258679,16119252,11197169,11197171,16118508,16118509,22257919,29608390,38175068,29608520,25961224,25961225,31594421,29609222,22258996,22258997,22258975,22258974,29608415,22258589,22258591,22257887,16118495,11196557,11196558,11196585,16118539,22257971,22258755,29608401,22257925,16118513,16118514,22257931,28765915,28765916,29607816,29608787,22258320,16118903,16118902,22258314,29608375,38175270,38175375,29609068,29609069,38175837,29609048,22258673,22258672,29609043,29609217,25962384,25962385,29608132,22257671,16118281,16118280,22257668,24091015,31594424,29609295,22258977,16119519,16119520,22257937,22257960,16118532,11196580,7429242,4694521,4694522,7429246,11196593,16118544,22257985,29608497,25962133,25962134,33771410,38175624,29608790,29608791,33770587,38175337,38175077,38175076,48087273,38175382,29608486,22257977,22257975,29608437,29608436,38175318,38175359,38175360,38175988,29609263,22258947,22258943,29609261,31594411,24091008,17733504,12546919,12546920,17733511,24091022,29609301,22258984,16119523,16119526,22258990,29608434,22257944,16118524,11196572,11196563,11196564,16118505,22257916,29608380,29608447,29608446,33771404,33771403,42803347,42802386,33770597,25961510,25961511,32688276,32688274,33771148,33771149,32686187,32686185,37276140,37276141,28743594,28743593,37276145,29608479,29608477,38175366,33182658,33182659,42142167,50299209,40278744,31594403,31594405,38175251,40278751,31594434,31594433,40278770,42801266,38175281,29609303,29609304,38175316,29608431,29608357,22257897,16118499,16118500,22257902,29608362,38175257,48087376,40992121,32208750,32208749,40992117,46660876,42802378,33770588,33770590,32688272,25961921,19296417,19296419,25961926,33771153,42803072,49146711,41583854,32686132,25006527,25006526,25961505,25961504,25437606,25437607,32664717,40839870,40051547,31370658,31370659,32664708,39220286,39220281,39220280,48087413,41583843,32686116,32686117,32688142,32208764,24617675,18167179,18167180,24617678,24617703,24617704,32208790,38175770,46660884,36775390,28279355,21074767,21074765,28279348,31168405,23680108,23680109,25006579,18479745,13128635,13128636,18479749,25006590,30622980,30622981,39220276,32686157,25006543,25006542,25961498,24617950,18167450,18167451,18071210,18071211,24498577,23875582,23875583,30622992,30622988,23201025,23201026,18167172,12883744,8762572,8762571,12883738,18167161,12883752,8762574,8762575,12883757,18167198,24310735,31828222,24500354,24500355,21074773,15138189,10440786,10440789,15138196,21074780,28279368,32686168,25006555,18479733,13128629,13128630,18479737,25006562,32686178,33771745,32208702,24617626,18167148,18167150,24617632,268434846,28180358,31734923,38283484,40994662,32210787,24619348,24619347,32210785,32320902,40992061,40992060,40992132,32208772,24617687,256072499,32683141,32683140,36775356,28279327,28279328,36775359,32683132,25004195,255238567,13127040,255637371,24535553,32112496,40885806,257126732,25962310,19296672,13796366,13796365,19296667,25962303,33771664,36775402,46660890,41579861,32683152,25004211,18477709,18477710,25004214,32683159,36775364,40847256,32672460,32672461,35361558,27238714,20308539,14574277,14574276,20308536,25008313,18481202,18481201,25008308,32688146,36775543,28279482,28279483,25004991,25004992,32683979,41580848,50945305,40822796,40822795,41566106,32672464,24996088,24996087,25006517,32686112,27238624,27238623,35361455,41583882,269062327,39056035,39056034,46660891,58033704,51871827,41579859,41579858,41586561,41579868,36954018,28453484,21226422,21226421,28453482,36954014,32686269,32686267,27238706,20308534,20308533,27238702,35361551,44785545,42803431,33771462,33771463,28279485,21074862,21074863,15138239,15138240,21074870,21226420,28453478,36954010,46832185,37653316,37653315,41566100,44785475,35361469,27238632,20308476,20308475,25006558,25006557,32670683,24994498,24994497,32670679,41564020,33771195,33771196,42803122,41566518,32672835,32672834,25571052,25571050,33330875,40429139,40429140,32031298,25006646,18479790,18479792,25006652,32686275,41583961,39850039,31167944,23679574,23679573,25962176,33771468,28279478,28279479,32686246,25962611,19296890,19296891,21885513,29197719,37653322,29104378,29104379,32031295,32031294,29197730,21885518,21885519,29197734,32686170,25962324,25962326,29197737,37759190,47558577,40429213,40429212,42801499,47681364,42801550,42801538,42801537,52698182,42311198,42311199,40429154,31734904,24226378,24226379,31734890,32686265,41583953,37759224,29197780,21885549,21885548,29197777,25962179,25962178,33771472,42794894,37653303,29104362,29104363,29104510,29104402,25960915,21806142,15745112,15745113,21806147,29104373,29197744,21885527,15809306,10955344,7250907,7250908,10955349,13796509,19296886,25960882,33769796,25960891,25960890,33769804,42801505,33769858,25960936,25960934,33769856,40429196,31734960,24226434,24226383,17854639,12644393,12644392,17854634,24226377,31423754,23933282,23933283,21806135,21806134,29104352,24226456,24226455,31734937,28424005,28424001,28423999,21806271,21806183,15745137,10904697,7211983,7211982,10904690,15745126,21806170,15809326,10955363,7250922,4572392,4572391,7250916,9460509,13795793,13795775,13795774,13795782,19295760,20308491,19295788,13795801,13795800,19295784,25960944,24226442,17854672,12644411,8585360,5578645,5578644,8585354,12644398,17854648,23933287,17590620,17590619,17590594,17590593,23933243,24226371,21885563,21885554,21806196,21806197,15745205,10904744,7212011,7212010,7211993,4543948,4543947,7211987,10904705,12229820,8257437,8257438,10955359,9460531,6203004,6202994,6202737,3882360,3882358,6202730,9460060,13795786,14574251,20308496,19295772,19295773,25960920,24226472,17854693,12644427,8585371,5578648,3461190,3461191,5578653,8585377,12644435,17590628,12416442,12416441,15782891,21854046,19296403,15809342,10955373,7250926,7250928,10955381,15745224,10904758,7212017,7212016,10904753,15745153,20308453,20308452,17359904,15745094,15745095,12229796,9460541,6203009,3882517,2324894,1347780,769084,769083,1347769,2324865,3882460,270557827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164538, s2 = 10882762, dlinesl.size( ) = 8 s1 = 2456708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2786284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9117682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9117682, s2 = 11659795, int(edited[s2]) = 0 s1 = 9117682, s2 = 11659795, d1 = 6, d2 = 4 Dl.O(d1) = 67806138,63225382,51512185,41295454,41295455,51512187,258352739,55464636,257553186,44615922,55464640,50564205,50564206,62056905,74855916,88493108,88493097,74855901,74855902,88493098,270336322,67806154,81273518,88493109,88493106,74855909,62056898,258299467,88493076,74855880,257690127,50564165,62056871,74855881,257690137,257690135,74542533,61758881,50279165,40258210,40258209,269404767,257690145,31830248,24312393,24312392,31830245,40527623,40527627,256558425,24312403,256050881,40527563,31830200,31830199,40527561,50564132,50564173,40527598,40527599,50564175,50564143,50564141,257690125,62056844,50564138,40527570,31830204,24312362,24312363,31830205,257106855,62056838,74855852,62056872,62056873,74855884,88493078,102502062,116607054,130452516,143781703,137501609 Dl.O(d2) = 133823243,133823244,147068541,147068535,147068534,133823242,119955450,105719555,91495034,77563907,77563910,86793473,100774483,114826717,126546703,112684033,98689595,84762460,84762459,71944981,59205979,59205978,71944979,85532938,99479447,112684025,112684026,98689607,84762470,84762468,98689594,258757144,84762452,71194096,58472582,58472583,71194098,71194093,58472580,47094662,37198739,37198740,47094664,58472585,270292455,58472560,58472559,71194062,71194113,71194112,84762479,84762464,71194084,71194083,60119691,58472564,47094649,47094650,47094679,37198754,28676025,21427818,15435176,10670712,10670711,15435174,21427816,28676021,37198746,47094667,58472587,61544869,50066815,40047522,40047521,47094665,40047524,31367189,31367190,40047526,50058974,50058973,61537324,71194111,72041011,59305391,256383564,29432580,32454251,32454252,41295555,268648246,48664490,53263126,60061328,48664468,48664467,60061326,51512264,51512263,63225462,60061431,48664573,48664572,41295514,32454215,24817793,18327244,18327245,24817795,24817778,18327234,13009628,13009627,18327231,16958329,11870469,11870470,16958330,23231104,30652545,39248384,49173557,60572425,73315253,64711259,64711258,77899783,73315251,73315252,61740703,50262276,40242921,31556896,24052603,254146852,8480884,8480885,12518311,12518372,12518371,12324189,8324905,8324906,6730501,6730504,10243259,13419299,13419302,18831104,25424248,20852868,20852867,28019377,254443970,46336538,57683685,70375872,83900437,97756921,111675375,125476304,125476303,138803614,151503304,163385322,259655938,142903442,129587599,115701462,101657559,87686017,74078846,61297325,255455858,31116317,39796841,49817512,59423145,254525848,71789362,59047898,47646565,47646564,59047896,53686828,43176249,34092416,26230543,26230544,34092419,43176255,53686833,65742992,74078802,70194002,70194001,83715765,97589383,99710959,99710055,85755908,72161242,72161241,59960143,48568081,38652458,30075910,30075908,33890120,33890121,42936449,53403073,65407338,70771076,70771075,84330022,98237290,106722620,100258531,100258532,103105903,89035324,75307267,75307268,89035327,269789378,100258456,114288823,126212676,126071888,126071889,136756809,122925458,108661131,94373738,80318286,79107244,79107245,75980861,62998119,58091134,46719330,36836627,36836626,255717498,33366150,268300095,18989544,25601705,33366154,42354934,52754343,64669306,77859165,85830927,75980852,62998111,62998110,75980851,84104174,70567661,70567660,84104173,89759663,89759662,103863366,97978311,84104170,70567658,57865875,46509746,36642443,36642444,46509749,57865879,70567666,84104184,84578331,71013574,71013573,84578335,86937147,84578263,71013503,58298132,58298131,60582715,257017263,37053886,28553569,21328466,15356416,10609130,7000227,4399418,2636369,2636368,4399416,7000224,10609125,15356409,21328459,21328383,255826567,37053738,46932125,58298247,58464261,71013608,71013473,58298103,58298102,46932036,46932037,46932001,37053919,37053918,46932318,46932339,37053937,28553603,28553604,37053938,37053931,37053932,46932330,58298156,58298158,46932310,37053914,28553592,28553593,37053915,46932312,58298418,71013754,71013616,258668251,71013767,71013768,73441686,71013540,58298176,46932058,46932057,58298175,71013538,67832150,67832151,81297928,75687780,62740803,62740804,75687783,89452002,77596479,64427730,64427731,77596521,91311107,91311106,105529058,91482084,91482085,95254147,81197958,67732378,55392061,55392062,67732380,67732367,55392057,55392059,67732374,257199520,59187778,59187781,257199452,99460913,113470981,99460849,99460850,99460927,91527430,91527429,85515017,71927354,71927355,85515019,256128294,117696590,103561378,89462926,75697811,62750660,51119455,40977137,40977136,39360552,30759589,23336857,23336856,256480553,43015732,257250341,53541765,65566517,60855265,49453570,39521153,30911581,23475502,23475501,30911580,39521151,49453567,60855258,52557722,255958006,25488642,18885003,18885002,25488640,33237934,42198492,257002754,31088543,23604132,255160079,8201960,254836883,17291157,23604125,31088529,39767000,47625270,37702299,29141416,29141417,37702301,47625273,52557682,42198469,42198470,268965104,70852515,83938559,70412466,57718389,46368862,46368864,57718391,66913749,54656899,54656900,66913750,65528387,53502780,43023289,33965634,33965633,39914084,49932352,61410940,49971016,39954567,39954568,49971018,61448722,74227960,74227953,74227954,87832876,87832875,270901407,74227964,61448724,61448723,74227962,87793644,74189942,61410933,61410934,49971029,39954576,39954575,49971027,61448737,74227973,87832898,86988089,73375534,73375533,60630114,59056189,52523360,42164961,42164960,52523358,64397254,77565680,73314847,60571975,49173052,39247852,39247851,49173051,60571974,73314845,86924617,86924618,100904870,114957295,126896527,126896528,137432255,123702225,109510463,95256282,81200267,81200268,95256284,109510465,123702228,112092640,258642438,133017146,119182269,104987327,90809509,89960740,76152337,76152338,89960742,104091851,118251158,132069495,133017127,133017128,133017137,119182262,104987323,90809506,76933237,63825514,63825513,268666498,104987317,258227534,84072442,84072440,97945362,110407887,96260958,82242340,68715199,56225135,45203393,45203392,56225133,68715191,56225131,56225132,68715194,82242338,258004426,77298545,91219036,260259375,133555977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9117682, s2 = 11659795, dlinesl.size( ) = 2 s1 = 9117682, s2 = 11659795, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9117682, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 2456995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8116073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6709076, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3096295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3096295, s2 = 14308585, int(edited[s2]) = 0 s1 = 3096295, s2 = 14308585, d1 = 7, d2 = 5 Dl.O(d1) = 97912419,84041644,70506461,259251007,259251009,111715710,272161947,107354939,121736239,272045259,259063574,78843541,92950188,107354941,121736242,135680191,148926832,260124056,125662838,125662837,139001953,141113669,153787074,156038493,143500102,130169356,130169353,116330395,102235808,88237902,259528883,116330393,260868744 Dl.O(d2) = 108751480,94458529,94458528,108751482,123020145,136850778,260272746,94458530,261541491,162191300,262931678,261436822,119903024,119903025,133772171,147020566,159401418,262698086,189781440,197448524,201774477,263545164,194831172,262235476,175016251,262158355,139590732,126216728,112357241,98375330,84466316,70910082,58197367,256846973,21225974,26259250,25100605,18552082,13181783,8985335,8985334,13181781,18552078,25100601,32802386,256599330,47798169,41722489,32802378,32802379,256181189,19540198,19540199,26259249,256700601,53724203,256899645,29128375,21821595,21821594,29128372,37690425,47615409,47615396,268624843,21821592,21821593,29128370,37690421,47615401,255604058,28700818,28700819,37226976,269314787,38639713,255211586,28700826,255604064,58503305,59946634,72685405,257700926,58503286,58503287,71224826,71224827,84793128,71224829,71224830,59946644,48554510,38639735,30065164,22687001,16487278,11487398,11487399,16487280,22687006,30065172,38639746,256937197,38180718,48092476,48092483,38180771,38180770,38639753,48554532,258542968,38639747,48554523,48646769,48646768,52633592,52633594,258126875,48092499,268634793,22262845,22262846,29613717,38180742,48092505,59482046,48572248,38656419,38656418,48572245,48092462,38180715,29613699,22262836,22262835,29613696,38180711,38153152,29586974,29586973,38153149,47947560,59339127,72073366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3096295, s2 = 14308585, dlinesl.size( ) = 2 s1 = 3096295, s2 = 14308585, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3096295, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 6848842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6688402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6688402, s2 = 7741041, int(edited[s2]) = 0 s1 = 6688402, s2 = 7741041, d1 = 11, d2 = 30 Dl.O(d1) = 257391835 Dl.O(d2) = 163458608,174306660,183969201,192435198,199723881,263463781,174306675,163458615,151575524,151575525,163458619,174306664,262127835,151575521,163458609,174306661,183969202,183969208,174306667,163458611,151575522,151575523,163458614,174306672,263463779,273840209,210986908,274176871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6688402, s2 = 7741041, dlinesl.size( ) = 24 s1 = 2788967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2788967, s2 = 2626370, int(edited[s2]) = 0 s1 = 2788967, s2 = 2626370, d1 = 14, d2 = 3 Dl.O(d1) = 83954467,83954468 Dl.O(d2) = 74204782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2788967, s2 = 2626370, dlinesl.size( ) = 2 s1 = 2788967, s2 = 2626370, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2788967, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 9407656, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2789586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8390934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8390934, s2 = 6586789, int(edited[s2]) = 0 s1 = 8390934, s2 = 6586789, d1 = 28, d2 = 16 Dl.O(d1) = 97831534,83970801 Dl.O(d2) = 256277071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8390934, s2 = 6586789, dlinesl.size( ) = 30 s1 = 14164802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6688695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6688695, s2 = 12756128, int(edited[s2]) = 0 s1 = 6688695, s2 = 12756128, d1 = 53, d2 = 91 Dl.O(d1) = 257394333 Dl.O(d2) = 166862629,166862630,263217287,263954911,263605123,272889449,260682261,260682263,142526807,155170455,166862625,155170452,155170453,155170457,142526809,142526808,142526802,129150457,115219619,101142460,87144237,87144238,101142462,115219620,129150459,115219622,101142464,101142463,101142459,87144237,73525206,60776981,49375433,256486107,23412702,17137350,12043707,8096620,5187071,3164517,254179221,594398,331358,331357,594392,1057137,1852402,3164482,5187015,8096518,12043489,12043307,12043303,8096359,8096358,11204489,16129283,17137254,17137255,17137256,23412579,30842432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6688695, s2 = 12756128, dlinesl.size( ) = 44 s1 = 576808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8172879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7562301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2791632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9216975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13176217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13176217, s2 = 16300804, int(edited[s2]) = 0 s1 = 13176217, s2 = 16300804, d1 = 109, d2 = 77 Dl.O(d1) = 47376066,40161558,31477012,23980407,17633691,12456081,8424350,5437584,3342655,3342653,5437575,8424334,12456045,17633642,23980310,29686218,29686216,38251413,47286985,37377387,37377386,40171912,40153464,31476739,31476738,30742179,30742178 Dl.O(d2) = 19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963780,254348964,15963837,22068837,22661509,22661506,22445705,22445706,21899992,15820837,10964024,10964025,15820842,20245963,24121591,22822611,19238233,19238236,16141362,16141364,16141393,22284827,28938772,21659992,21659993,21900497,15821200,10964517,10964516,7707958,4878154,2939287,2939286,4878148,7707944,11580241,14175553,14175552,19790291,23187151,16920898,16920897,23187147,17124589,14183659,9750475,9750476,12034355,9997070,8090282,8090283,8090326,8090323,8742309,8742307,12856090,18130775,21900437,21900101,21900102,29214310,37775827,38056483,38056482,37775972,29214507,29214506,37775969,39428581,254522172,23396424,24571390,24571389,32155582,40519005,31822070,24305499,24305498,254349118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13176217, s2 = 16300804, dlinesl.size( ) = 26 s1 = 2792374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2792689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6849896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6556971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6556971, s2 = 7002785, int(edited[s2]) = 0 s1 = 6556971, s2 = 7002785, d1 = 16, d2 = 15 Dl.O(d1) = 255934390,70534389,84070695,97943600,111879818 Dl.O(d2) = 261208563,154240332,262744691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6556971, s2 = 7002785, dlinesl.size( ) = 18 s1 = 2465755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2290898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8285987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146181, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10163967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2466719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8142178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6637584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6637584, s2 = 14889583, int(edited[s2]) = 0 s1 = 6637584, s2 = 14889583, d1 = 22, d2 = 66 Dl.O(d1) = 256826921,57882101,70583573 Dl.O(d2) = 89303564,89303566,99572926,85622279,85622278,72033783,59297514,47902635,37986629,37986628,47902631,38885123,30299437,30299436,22900873,16670247,16670246,22900872,30299442,38885131,48807450,60204581,60204631,48807495,38885167,38885168,256288990,36691868,28201887,21010322,15090020,15090021,21010324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6637584, s2 = 14889583, dlinesl.size( ) = 12 s1 = 8392196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10230013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10230013, s2 = 1095824, int(edited[s2]) = 0 s1 = 10230013, s2 = 1095824, d1 = 21, d2 = 16 Dl.O(d1) = 168961992,164419637,272528512,142495951,261094732,139847478,126476042,112607359,112607360,126476043,139847479,152560899,145061403,131801888,117973892,117973894,131801889,261912953,168961996,164419631,164419630,175203864,272178608,126476046,112607363,98612232,84687497,84687496,98612229,112607357,126476033,139847466,152560886,145061403,145061404,157496943 Dl.O(d2) = 63990,117391,204014,372460,254195159,3491429,5620189,8641661,268120983,24338416,31860603,40562295,270504332,74905212,88543426,99310834,85365830,71775998,71775999,71776004,85365836,77450903,64295066,52434284,42086024,42086025,36869056,28372310,25819521,19169356,19169357,19169351,13688741,9374621,6141173,3842512,3842511,3961100,2375435,2375437,2390574,1383767,1383770,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383782,1376211,783178,781803,443292,249657,137813,137815,249662,443311,781838,1373517,2372470,3961095,6319047,9619341,255302363,26272227,34139034,42936016,33889672,26064737,19381829,256142244,2338799,254150217,439033,247660,247661,439039,773066,1355483,2338790,2388431,2388427,1383783,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2375224,1375081,782722,443776,249858,137873,137875,249866,443808,782795,1375191,2308173,3852585,6157111,9397854,6168528,254305881,254149653,435700,435701,766093,773074,439043,247662,247661,439039,773066,1355483,2338790,2388431,2388427 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10174817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8174409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2470864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9385593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2631271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6947061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14506682, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9706742, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2472537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8031029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8031029, s2 = 7165913, int(edited[s2]) = 0 s1 = 8031029, s2 = 7165913, d1 = 24, d2 = 29 Dl.O(d1) = 23162647,30580116,36777347,46662639,257413277,70749641,84301313 Dl.O(d2) = 261626563,262632445,263478289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8031029, s2 = 7165913, dlinesl.size( ) = 12 s1 = 2472730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13398655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2801821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2801821, s2 = 1008188, int(edited[s2]) = 0 s1 = 2801821, s2 = 1008188, d1 = 8, d2 = 20 Dl.O(d1) = 84337278 Dl.O(d2) = 25490592,33240146,42201109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2801821, s2 = 1008188, dlinesl.size( ) = 2 s1 = 2801821, s2 = 1008188, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2801821, Dl.E( ) = 44, 3.41e-05 seconds used appending s1 = 13595061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10157199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16187199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8250350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6783451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9373056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180572, s2 = 10966437, int(edited[s2]) = 0 s1 = 10180572, s2 = 10966437, d1 = 46, d2 = 38 Dl.O(d1) = 41984873,33041000,33040999,25313181,25313182,18736039,13337952,255253327,25313180,33040997,41984872,257776093,77325166,91245220,98275907,84367298,70808569,70808570,269305604,268606782,46719762,36836989,28340169,28340168,36836988,46719761,58091661,70808568,84367297 Dl.O(d2) = 99717914,85763871,72169677,59431173,48039117,255456532,29560399,22215004,16083418,11169660,11169662,11169689,7410329,4682391,2821203,1636724,1636722,2821194,4682377,7410307,11169644,16083390,22214968,29560341,38125793,48039012,59431075,258122533,72169583,85763768,99717819,113732251,113732250,99717825,259989005,99717814,258745987,257512821,48039012,59431075,48039016,48039015,59431080,72169584,59431077,48039014,38125794,38125793,48039012,59431075,48039016,48039015,59431080,72169587,85763773,85763765,85763764,72169586,72169585,85763770,99717822,261165663,260336920,259087662,76022824,63040061,51359035,41173106,256171342,255294772,18268113,24741176,22144818,22144817,23823958,31312880,32357426,41173105,51359033,63040057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180572, s2 = 10966437, dlinesl.size( ) = 2 s1 = 10180572, s2 = 10966437, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10180572, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 13223495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9171574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8069579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1770996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7609749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7609749, s2 = 6438393, int(edited[s2]) = 0 s1 = 7609749, s2 = 6438393, d1 = 70, d2 = 90 Dl.O(d1) = 269316021 Dl.O(d2) = 254529525,4711483,7456050,4711166,4711164,6471161,4055300,2427404,2427403,4055294,5504833,5504834,8504411,12527903,12546704,11231078,255195773,3445263,2039935,1169044,656128,656127,1169042,254281349,1404261,799175,452974,452975,254152539,2427401,4055289,5530494,3416299,3416298,3445263,254418277 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2477929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2702422, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7664752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2131779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2131779, s2 = 13333870, int(edited[s2]) = 0 s1 = 2131779, s2 = 13333870, d1 = 0, d2 = 26 Dl.O(d1) = 58154302 Dl.O(d2) = 139553859,272175093,112318217,260965440,259124622,26213244,19500459,13957426,9583191,9583188,13957393,19500003,19499394,19497654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2131779, s2 = 13333870, dlinesl.size( ) = 28 s1 = 6901322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13367947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2480140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10199758, s2 = 9107072, int(edited[s2]) = 0 s1 = 10199758, s2 = 9107072, d1 = 42, d2 = 33 Dl.O(d1) = 59342642,257103874,256048306,30514144,256939989,38217288,38217321,29650951,22298918,16842532,11778443,254421798,4991685,7864134,11778440,16842530,12024573,12024574,17111174,23381514,21155180,15199675,10483552,10483551,15199673,21155176,28372288,23097280,23097279,16842546,16842544,23098474,29650936,255664470,48127468,268429386,48127419,38217284,29650966,22298932,19360697,13848228,9499940,9499941,13848232,19360702,26038683,33860092,39341826,38217330,38217331,268403029,22298926,22298928,22298929,29650962,256120364,257190164,49267565,257616640,48127386,48127385,59514788,59514859,256939993,29650943,29650944,38217316,48127480,59514801,48127401,38217233,38217232,38217280,29650909,22298885,16153533,11222628,7446348,7446347,7446350,4704745,4704746,7446352,255085211,254772539,7446363,255085215,22298956,29650967,29650969,38217339,48127402,38217234,29650867,22298847,255700773,19360701,26038681,28420583,255386713,10508706,6929627,4353647,4353646,6929625,10508702,15233649,21198051,256305417,46796231,258032613,84434891 Dl.O(d2) = 5843812,5843809,8953234,13136725,12782827,8689754,8689753,12782822,254145026,14112538,19684233,26420928,34297427,43397720,53923058,65992080,75640411,62696443,51067518,40926983,32149470,32149469,40926982,51067521,269067240,256102732,27098990,35187750,27098976,20199499,20199500,27098978,35187754,44566081,49907817,49907815,61388157,74168720,63786190,63786189,76896137,90774985,104954680,119150662,132985497,142821460,129504584,258349222,87612804,258349220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10199758, s2 = 9107072, dlinesl.size( ) = 14 s1 = 6866900, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2481785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1776550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1776550, s2 = 3815993, int(edited[s2]) = 0 s1 = 1776550, s2 = 3815993, d1 = 0, d2 = 37 Dl.O(d1) = 46829032,58194991,70907647 Dl.O(d2) = 261638037,139554246,134988664,121180021,106913222,92594582,258371394,65943666,53876045,43350863,34250799,26373658,19640317,254834984,6367784,254262370,2394449,3995617,6367782,9681617,14076562,19640307,26373649,34250796,31484581,31484580,40169619,50193569,52832550,50513373,257685705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1776550, s2 = 3815993, dlinesl.size( ) = 32 s1 = 13364227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13364227, s2 = 6826205, int(edited[s2]) = 0 s1 = 13364227, s2 = 6826205, d1 = 9, d2 = 3 Dl.O(d1) = 46321528,36468580,28009559,20844667 Dl.O(d2) = 258908810,62660546,61887806,50397440,40362324,40362325,50397443,61887815,62660717,62660719,62660754,70908666,75603654,75603666,65054709,59243065,47846300,47846299,59243061,58196018,46830032,46830031,58196016,70908732,59243068,59243067,71980461,70908591,58195911,58195910,70908590,84464890,89365515,89365453,75603504,62660570,62660571,75603507,75603512,70908663,62660550,62660549,75603490,89365433,89365432,75603473,62660534,62660533,65906332,79268509,93394749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13364227, s2 = 6826205, dlinesl.size( ) = 2 s1 = 13364227, s2 = 6826205, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13364227, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 2809944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2482870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162590, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13581921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2484033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2484332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7895901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7895901, s2 = 8774430, int(edited[s2]) = 0 s1 = 7895901, s2 = 8774430, d1 = 28, d2 = 29 Dl.O(d1) = 10719370,7081990,7081989,10719369,15500168,21509165,28770098,37303387,39144429,255039154,29897617,22542219,16366881,16366882,267964914,22541796,16366551,16366552,22541798,29897392,38454539,48096216,49074563,39144499,39144500,37540526,37540527,41998726,38062673,38062674,38184523,38184522,38454965,37540568,28995261,22544955,22542241,22542240,22542009,22542010,21509180,21509177,28770107,28770074,21509140,15500155,10719361,10719362,8827602,5751923,5751924,8827609,12969286,15500241,10719403,10719402,15500235,15494921,10719414,7082004,7082005,10719420,15500267,21509342,24746876,28770137,29897472,28230639,28230640,28762677,28762676,23087182,23087185,24746934,18273588,18273589,22544612,29900094,29900093,254736596,29885785,22541854,16366598,11389832,7567122,7567123,11389835,16366603,11391762,11391761,16366588,11389828,11389829,16366591,22541842,24746945,18273601,12969363,8827650,8827651,7568467,4786051,4786054,7568472,11391500,15752812,16369027,22540776,16368424,16368423,11391739,7568600,4786118,2884495,2884494,4786115,4786063,4786062,7568489,11391527,16368879,11391684,7568574,7568575,7568242,7568241,7569125,7568796,4786256,2884576,2884577,4786258,7568802,4786699,4786698,7569156,7568755,4786217,2884557,2884556,4786214,7568749,11391947,16369454,16369363,16369364,22540815,22542720,22543041,22543042,254240498,22545037,21495826,21495825,22541592,268640465,254536330,29901189,29901188,38457945,255053432,48355460,38456896,254536352,268426551,29126050,37688160,37688166,29126053,26657383,19843408,14216221,9773336,9773337,14216226,12839748,11388935,7566357,7566360,11388945,16365414,18107391,16365382,16365384,22540485,24541209,18107330,18107331,18107347,12839726,12839727,18107350,16366042,11389407,11389408,16366044,21854203,21854202,23563518,255595722,10575964,257428657,70951208 Dl.O(d2) = 263849173,263604560,126287127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7895901, s2 = 8774430, dlinesl.size( ) = 20 s1 = 2485553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6853156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2487324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3116608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9419240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2814534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2814819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7885463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13325021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6693267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2816142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2816142, s2 = 14077456, int(edited[s2]) = 0 s1 = 2816142, s2 = 14077456, d1 = 18, d2 = 22 Dl.O(d1) = 84594207,71029725,58313857,46947121,37067755 Dl.O(d2) = 15364794,21338750,23473379,255540985,254830759,8129612,12088885,255540983,23473376,26923415,26923416,35005288,44383407,55233671,67576195,60851615,60851614,73430689,60683043,49282216,49282217,60683045,60683009,49282215,39355302,30754702,30754703,39355307,49282223,60683054,73430699,73430694,73430682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2816142, s2 = 14077456, dlinesl.size( ) = 2 s1 = 2816142, s2 = 14077456, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2816142, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 14245375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9475504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9475504, s2 = 14984309, int(edited[s2]) = 0 s1 = 9475504, s2 = 14984309, d1 = 7, d2 = 5 Dl.O(d1) = 54611398,54611399,66869418,259132099,94355152,108643114,108643111,108643112,112521984,112521986,98527277,84602484,71038406,58322874,46955741,37075614,28572504,28572505,37075616,46955743,58322875,71038408,84602487,98527282,112521990,126392390,139767781,152488270,147096952,147096953,140991235,140991234,153657770,165438536,176120724,185585260,193844401,200924737,206898256,211832975,215864050,264731354,215841060,211805884,206866079,200887655,200887654,206866078,211805881,215841056,219178400,265361585,221653182,218792525,218792526,264935900,208100624,202333258,195473033,195473032,200218061,200218060,202333264,202333263,202333266,195473037,187452207,187452206,187452209,178235183,167790012,156194208,156194207,156194214,156194215,167790017,167790009,167790008,156194201,143663761,143663762,155646157,167277626,177771737,171334897,160109303,160109302,147855750,134730758,120933221,120933222,257043142,86093870,72496821,59763117,59763118,63579284 Dl.O(d2) = 257625876,258857228,130338364,143663767,131955095,118137688,118137689,131955096,145194088,156194204,143663766,130338358,116501578,102406418,102406419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9475504, s2 = 14984309, dlinesl.size( ) = 2 s1 = 9475504, s2 = 14984309, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9475504, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 2816757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2816757, s2 = 8204746, int(edited[s2]) = 0 s1 = 2816757, s2 = 8204746, d1 = 1, d2 = 1 Dl.O(d1) = 270402426,112523269,259534522,152489433,270916576,112523268,98528758,84604232,84604233,88319718 Dl.O(d2) = 270402426,112523269,259534522,152489433,270916576,112523268,98528758,84604232,84604233,88319718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2816757, s2 = 8204746, dlinesl.size( ) = 2 s1 = 2816757, s2 = 8204746, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2816757, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8177473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8177473, s2 = 2490220, int(edited[s2]) = 0 s1 = 8177473, s2 = 2490220, d1 = 23, d2 = 0 Dl.O(d1) = 46961027,58328331,71043733 Dl.O(d2) = 71043736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8177473, s2 = 2490220, dlinesl.size( ) = 26 s1 = 8027163, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2818324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7609455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8290087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164450, s2 = 8522686, int(edited[s2]) = 0 s1 = 14164450, s2 = 8522686, d1 = 0, d2 = 0 Dl.O(d1) = 14523072,9993002,9993003,14523074,20239431,27149937,35248316,40928007,51068550,42719825,33689716,33689715,42719822,269528999,42719839,33689728,25883155,19223685,13732428,9407644,6163760,6163759,9407642,254522625,2794926,2794925,4640331,267972535,15963593,22068377,29398810,37963084,36379029,27934608,20781907,20781909,27934610,28249247,21861779,21053855,15122811,10430760,10430759,15122808,21053849,25192570,28257803,21056864,15125168,15125169,21056129,15124607,15124608,254623442,27047591,27047590,33634251,25831466,19178728,19178726,25831463,27970107,29761615,29761617,36428610,36428663,36427436,27968527,24510386,18081162,12818886,12818885,18081160,24510382,32084326,26166792,19466285,13931388,13931389,19466286,26166794,34008486,43066240,53545274,51068069,40927587,32150130,24566781,268215767,15761430,21829570,18676382,13283545,9067078,5928784,3707102,3707103,5928787,9067085,10915849,7219238,4548567,2734283,2734282,4548550,7219071,10915549,15761291,21829392,29136704,37697437,44781934,35357935,35357934,44781932,44782144,42116235,42116234,33541775,25753246,25753245,25272009,25272010,32996300,41937140,44782067,44781834,35357809,35348589,27225547,20296996,14565386,14565384,14565505,14565506,20297161,27225731,33161935,35357945,35357946,256585208,33161841,25420639,25420640,27225519,20296976,20296975,27225502,20296957,20296958,20297131,27225701,35348707,35357702,27234896,268343235,254986157,6590063,6590062,10027196,14571929,20305327,20306679,14572937,14572936,20306678,27236494,35359276,41245441,32419077,32419078,27237371,24792788,255760371,18309609,12997252,255230107,8848806,5767117,5767100,5767099,8848777,12997297,14573415,14573414,14572449,10027520,10027521,14572450,14573485,14573484,18309758,12997380,12997381,18309762,24792971,32418964,41245348,51444761,63144188,60251652,48858866,48858867,256674976,36586355,36586356,38688498,30669486,23254002,16991115,16991116,23254004,30669489,39265323,49191463,60591800,258829135,100929653,114983244,111828104,111828103,256435220,70491396,57790767,46435622,36571015,28099777,20924135,15016561,14335543,14335544,20016167,26898092,255430522,28099624,36570792,46435345,57751816,46400790,36570969,28099741,28099742,36570971,46435565,46435332,36570781,28099613,28099614,20924052,20924051,28099633,36570803,28614163,28614162,36570950,28099732,20924111,20924112,28099736,36570954,46435437,57790576,49435400,39504484,30897056,23463750,23463751,30897060,39504491,49435410,60837126,53393508,53393509,65396704,73230993,60483964,49080416,39150321,39150320,49080413,60483957,73230988,65396694,53393500,49435406,49435405,47022907,47022906,58394783,70491248,57790582,46435444,46435445,256901420,84025767,70491222,256901480,92763965,78700757,65396683,64377383,52503562,42145383,257198065,58394773,58394772,58394765,58394766,71112622,256901518,53393471,64377374,77545702,78700768,78700782,92763981,84677378,84677377,76313953,70491232,57790567,57790568,70491234,58295298,58295299,71010230,58295300,58295301,53240795,47022936,37134909,37134910,256359628,58394787,47022921,37134902,28622412,256321089,257440037,71112641,64377384,64377385,58394881,47022995,37134953,37134952,47022993,46590518,46590519,257407621,48203364,59589818,53918845,43393662,36703928,36703927,36703767,256828337,46929552,37051526,37051524,46590751,36703936,28212842,28212841,256828351,36703806,36703804,28212869,28212868,28212727,28212728,36703789,46590645,57967095,48203358,46929516,37051494,37051493,46590325,36703547,36703548,36703771,36703641,36703642,36703814,28212822,28212821,36703628,43393678,34293811,34293809,43393676,46590780,46590624,46590623,46590548,36703696,28212654,21019242,15096601,10411863,10411862,15096597,15355225,10608236,10608235,15355222,21019370,15096682,15096683,21019371,28212741,28212876,28212875,36703990,36703683,36703686,46590342,36703557,28212565,21019179,15096565,10411846,10411847,10411875,10411881,15096637,21019301,28212746,28212817,21019352,15096671,10411900,10411901,15096673,13421675,13421676,18838092,21019293,21019291,28212732,255801672,36703769,36703871,28551637,28551636,28212791,21019336,21019335,28212710,21019278,21019277,28212704,28212703,28212811,36703898,36703764,28212707,21019275,15096620,10411872,10411873,15096622,15096639,21019287,21019286,28212723,36703781,257407639,46590714,46590599,36703749,36703750,256828320,46590604,36703752,36703751,46590602,57967071,46590597,36703746,28212691,28212690,36703744,46590593,57967064,68051678,257608329,49319908,57967072,57967073,70685153,84237881,256480916,64329877,255979122,53930137,43403309,43403310,46435635,57790776,61354797,49873221,39850977,257606452,36703833,28212760,28212761,36703836,35321145,35321144,44746983,49319854,257025904,66000742,66000741,60722174,49319871,39391785,30789288,23363638,23363639,256482411,49319875,49319933,49319850,49319851,60722157,73470516,68140220,55742286,44834393,254824908,27283512,35409052,44834395,55742289,60722172,49319919,39391822,39391771,39391772,39391831,30789316,23363658,17094652,12007801,8064586,8064585,12007799,17094649,23363651,30789304,39391813,31635595,31635596,40324903,255980524,30789282,39391763,30789276,23363629,23363630,255980520,268427300,58426105,47051399,37160810,37160811,255980540,55742308,47051435,47051436,40324898,31635590,31635591,35409039,31635603,24128577,17765391,12571573,8525774,254868889,255584975,30789299,39391800,257027618,47051429,47051428,47051421,257027626,58426135,47051417,37160824,28644730,28644724,21403328,255832391,37160817,47051407,58426118,71147779,67704623,67704622,67704625,55364825,55364824,58426103,58426102,258838702,60722151,61836004,50351811,40324906,40324908,50351801,257674675,57848787,58426127,58426126,71147787,78336900,65057992,65057993,78336903,87741774,87741775,101716030,95190127,258838706,88258549,87088368,258215889,60722190,60722195,60722196,73470540,270794653,71077198,257768484,37105594,28597554,28597553,37105592,46492756,258013823,84087708,258215894,84087691,97961617,269846454,97961616,87088372,87088371,101085012,102256778,102256777,104289194,257112164,106816937,101085009,87088365,87088364,101085007,97895259,84025743,70491210,57790544,46435415,257397153,70491202,70491203,58426111,58426112,71147769,84717676,84717671,71147767,58426108,58426107,71147765,78465078,92504977,106816936,108623471,122887825,111827957,97895256,93361278,79234002,79234001,93361276,97895250,84025736,84025735,70864612,70864611,78465085,78465086,92504974,78465076,78465077,92504976,98648065,269953388,121077030,106816952,106816951,98563324,98563323,112556742,111827956,97895252,97895251,106816954,270999208,114740984,259609526,84421957,70864583,70864584,80280170,80280171,94336262,108623465,112644764,257741610,71147762,71147761,84717662,98648058,92504972,92504971,84421987,84421986,98331452,93361269,93361271,92504985,92504984,86714784,86714783,100691062,114740982,109854010,95650861,81617960,256240602,55730476,68128342,58150471,58150472,70864594,70864633,58150494,46782953,46782954,58150496,70864637,77166086,64029954,52192510,41865204,254292096,64029950,77166083,268132656,98331493,84422034,84422033,98331489,109446185,112314553,98331467,98331468,105851209,91643478,91643477,100691088,100691089,112314566,112314544,98331474,84422012,70864627,70864626,84422011,86714798,73109249,73109250,86714800,256601194,109374684,98331470,84422004,70864618,58150488,46782950,36905210,36905211,46782952,49319997,256482414,269373564,95120965,81063369,73109255,73109248,60369892,60369891,73109252,257741614,73109245,269953392,86714807,73109254,73109253,86714806,91643481,91643480,84422002,77716523,64535341,52636627,268918386,77716520,91643479,258838700,73522692,87141540,95663743,84422007,84422008,98331414,87141523,87141522,101139576,259609524,87141543,258219397,60774409,73522694,87141547,73522705,60774414,60774413,73522703,73522722,270880099,87141566,73522713,60774421,49372866,39444526,30840271,30840272,39444529,49372872,49372883,60774442,73522738,87141581,101139610,115216459,125671863,125671862,272515111,111855960,97921719,97921718,84051036,84051035,97921728,111855961,125671852,112336565,112336564,125671811,260392992,139010662,125671804,111855907,97921656,84050986,70515772,70515771,84050984,97921660,111855908,125671805,139010663,125671835,125671834,139010665,139010664,125671846,125671820,111855923,97921668,97921667,259395174,125671802,111855902,111855903,259261567,70515769,70515770,70515777,57814453,57814454,70515779,84050997,270846906,112304145,258769952,260013310,97921717,84051029,84051028,271288471,97921697,84051014,84051013,97921695,111855904,260013304,84050993,70515822,70515821,71063462,84627167,98551216,112545326,111855943,111855942,97921691,97921675,84050995,70515813,57814472,46458352,36592195,28119225,28119224,36592193,46458348,57814463,70515797,84051017,70854122,70854121,84411739,84051022,70515801,70515800,84051021,258146148,88314268,88314267,101981620,88005779,88005778,101981619,97921690,84051006,84051008,70515803,57814466,57814467,70515806,84051026,97921708,97921712,88314263,74686807,74686808,88314266,84085150,84085148,97958986,101605049,112304103,98321269,98321268,112304102,112304142,98321313,98321312,112304104,111806773,101863912,87890319,74287607,61510901,61510903,74287609,87890322,84411741,70854123,70854124,84411743,98321290,105730414,91506118,91506119,105730416,101863910,101863911,115909900,115909903,101863914,87890320,77575306,77575305,91506117,105730412,115909895,115909894,129809641,133833563,259262824,125621355,111806778,111806779,258636224,138959532,271831629,73271760,60526965,49126106,39198619,39198620,49126107,60526967,73271763,86883288,100863420,114913893,128811123,138959528,125621353,125621352,111806788,97874350,86883278,73271756,73271757,86883277,84005580,84005579,97874330,97874364,97874365,100863423,258636234,114913896,111806785,97874346,84005606,70472004,57772583,57772584,70472005,84005607,84005615,84005599,84005601,84005611,84005593,70471988,57772567,57772568,70471990,256283726,255370082,270788235,70337847,63036285,51355507,41170280,41170281,51355508,63036286,57772589,57772590,70471979,258011652,57772557,46418746,36555543,28086494,28086495,28086517,28086518,36555576,46418790,57772542,57772543,57772548,46418733,36555527,36555526,46418731,46418787,46418738,36555533,36555532,36555583,28086523,20913306,15008134,15008133,20913304,28086520,36555579,268934030,31123096,39803126,49823859,255370078,47234015,47234016,58626734,255869644,98866962,112854894,258095676,97874369,84005637,70472031,57772608,53138953,42688081,42688082,53138956,258441305,92442062,259091036,46418781,36555563,36555562,28603603,28603602,256859457,58368783,58368791,58368787,58368786,71085219,84647941,98571104,84647932,71085212,71085213,78877587,78877586,71085210,71085209,84647929,98571102,84647935,71085214,71085215,84647936,84647957,84647958,95226471,81541791,68055045,55658289,44750150,44750151,37112836,37112835,258048517,269779532,44750157,44750158,55658299,59539245,59539246,72272902,85864423,99817676,113832797,127702179,141051787,129120392,115188360,101110067,87111934,87111935,84647942,71085220,58368792,58368793,71085225,84647949,98571120,112564864,112564868,112564867,126434095,139807575,139807574,139807576,261650425,144403247,131173502,117371061,103241851,89151868,75404759,62486609,50887343,50887344,62486611,62486615,50887350,40771389,32015326,24454682,18036835,12785350,12785351,18036837,24454686,32015335,40771405,50887364,256435222,40771397,48291834,254793580,22442320,16273954,11316026,7513545,7513546,11316030,16273963,18032821,18032820,22441972,22441973,29808570,38380535,48291236,49218547,49218548,49218550,60281451,255213658,37215967,37215968,42888092,53352822,57768065,57768064,70467051,70467001,57768008,46414507,36551517,36551516,30694178,23279046,23279045,20909580,15004389,10334472,10334471,15004387,20909576,28082665,36551505,46414491,57767991,70466987,59362673,48291701,48291702,53352823,65355263,256013360,46414489,257064696,84000245,97868651,111800545,125615025,138953178,151657995,163539787,174383886,174383887,184040527,192498358,199777737,262269850,178141115,167683700,156080978,143548890,130224875,258168034,88306797,74679784,61886652,256434646,31666407,24157055,17789953,12591542,12591541,17789951,24157051,31666404,40360989,269410995,74679782,74679783,88306799,102301239,116391149,130224878,143548891,156080982,167683703,162196940,149989494,136855660,136855659,123024469,123024468,108755129 Dl.O(d2) = 14523072,9993002,9993003,14523074,20239431,27149937,35248316,40928007,51068550,42719825,33689716,33689715,42719822,269528999,42719839,33689728,25883155,19223685,13732428,9407644,6163760,6163759,9407642,254522625,2794926,2794925,4640331,267972535,15963593,22068377,29398810,37963084,36379029,27934608,20781907,20781909,27934610,28249247,21861779,21053855,15122811,10430760,10430759,15122808,21053849,25192570,28257803,21056864,15125168,15125169,21056129,15124607,15124608,254623442,27047591,27047590,33634251,25831466,19178728,19178726,25831463,27970107,29761615,29761617,36428610,36428663,36427436,27968527,24510386,18081162,12818886,12818885,18081160,24510382,32084326,26166792,19466285,13931388,13931389,19466286,26166794,34008486,43066240,53545274,51068069,40927587,32150130,24566781,268215767,15761430,21829570,18676382,13283545,9067078,5928784,3707102,3707103,5928787,9067085,10915849,7219238,4548567,2734283,2734282,4548550,7219071,10915549,15761291,21829392,29136704,37697437,44781934,35357935,35357934,44781932,44782144,42116235,42116234,33541775,25753246,25753245,25272009,25272010,32996300,41937140,44782067,44781834,35357809,35348589,27225547,20296996,14565386,14565384,14565505,14565506,20297161,27225731,33161935,35357945,35357946,256585208,33161841,25420639,25420640,27225519,20296976,20296975,27225502,20296957,20296958,20297131,27225701,35348707,35357702,27234896,268343235,254986157,6590063,6590062,10027196,14571929,20305327,20306679,14572937,14572936,20306678,27236494,35359276,41245441,32419077,32419078,27237371,24792788,255760371,18309609,12997252,255230107,8848806,5767117,5767100,5767099,8848777,12997297,14573415,14573414,14572449,10027520,10027521,14572450,14573485,14573484,18309758,12997380,12997381,18309762,24792971,32418964,41245348,51444761,63144188,60251652,48858866,48858867,256674976,36586355,36586356,38688498,30669486,23254002,16991115,16991116,23254004,30669489,39265323,49191463,60591800,258829135,100929653,114983244,111828104,111828103,256435220,70491396,57790767,46435622,36571015,28099777,20924135,15016561,14335543,14335544,20016167,26898092,255430522,28099624,36570792,46435345,57751816,46400790,36570969,28099741,28099742,36570971,46435565,46435332,36570781,28099613,28099614,20924052,20924051,28099633,36570803,28614163,28614162,36570950,28099732,20924111,20924112,28099736,36570954,46435437,57790576,49435400,39504484,30897056,23463750,23463751,30897060,39504491,49435410,60837126,53393508,53393509,65396704,73230993,60483964,49080416,39150321,39150320,49080413,60483957,73230988,65396694,53393500,49435406,49435405,47022907,47022906,58394783,70491248,57790582,46435444,46435445,256901420,84025767,70491222,256901480,92763965,78700757,65396683,64377383,52503562,42145383,257198065,58394773,58394772,58394765,58394766,71112622,256901518,53393471,64377374,77545702,78700768,78700782,92763981,84677378,84677377,76313953,70491232,57790567,57790568,70491234,58295298,58295299,71010230,58295300,58295301,53240795,47022936,37134909,37134910,256359628,58394787,47022921,37134902,28622412,256321089,257440037,71112641,64377384,64377385,58394881,47022995,37134953,37134952,47022993,46590518,46590519,257407621,48203364,59589818,53918845,43393662,36703928,36703927,36703767,256828337,46929552,37051526,37051524,46590751,36703936,28212842,28212841,256828351,36703806,36703804,28212869,28212868,28212727,28212728,36703789,46590645,57967095,48203358,46929516,37051494,37051493,46590325,36703547,36703548,36703771,36703641,36703642,36703814,28212822,28212821,36703628,43393678,34293811,34293809,43393676,46590780,46590624,46590623,46590548,36703696,28212654,21019242,15096601,10411863,10411862,15096597,15355225,10608236,10608235,15355222,21019370,15096682,15096683,21019371,28212741,28212876,28212875,36703990,36703683,36703686,46590342,36703557,28212565,21019179,15096565,10411846,10411847,10411875,10411881,15096637,21019301,28212746,28212817,21019352,15096671,10411900,10411901,15096673,13421675,13421676,18838092,21019293,21019291,28212732,255801672,36703769,36703871,28551637,28551636,28212791,21019336,21019335,28212710,21019278,21019277,28212704,28212703,28212811,36703898,36703764,28212707,21019275,15096620,10411872,10411873,15096622,15096639,21019287,21019286,28212723,36703781,257407639,46590714,46590599,36703749,36703750,256828320,46590604,36703752,36703751,46590602,57967071,46590597,36703746,28212691,28212690,36703744,46590593,57967064,68051678,257608329,49319908,57967072,57967073,70685153,84237881,256480916,64329877,255979122,53930137,43403309,43403310,46435635,57790776,61354797,49873221,39850977,257606452,36703833,28212760,28212761,36703836,35321145,35321144,44746983,49319854,257025904,66000742,66000741,60722174,49319871,39391785,30789288,23363638,23363639,256482411,49319875,49319933,49319850,49319851,60722157,73470516,68140220,55742286,44834393,254824908,27283512,35409052,44834395,55742289,60722172,49319919,39391822,39391771,39391772,39391831,30789316,23363658,17094652,12007801,8064586,8064585,12007799,17094649,23363651,30789304,393918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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164450, s2 = 8522686, dlinesl.size( ) = 2 s1 = 14164450, s2 = 8522686, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164450, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 10185519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10185519, s2 = 1196462, int(edited[s2]) = 0 s1 = 10185519, s2 = 1196462, d1 = 8, d2 = 15 Dl.O(d1) = 71033467,270384511,57650447,46950790,37071008 Dl.O(d2) = 267940576,254954222,34133217,26266733,26266732,34133214,37181006,47074853,53732736,53732737,254674602,255302166,25592563,25592562,33352996,42334293,43221037,43221038,51793310,47892103,37974181,37974182,33647514,33647515,42677125,43220830,43220788,34132918,34132919,29940641,22577609,16394792,16394793,22577611,29940645,26266411,19546019,13996214,9615258,6315697,6315698,9615260,13996198,9615251,9615250,13996195,14084009,19649237,26383755,34261594,43361602,43220864,43220865,254674624,26267435,26267436,34133892,26592759,19787538,14173445,9743848,9743849,14173447,19787542,21992348,25895341,19235418,19235417,25895337,21991500,15893990,13927416,13927419,11018280,11018278,13907847,13907849,13925716,19458842,13991914,9612038,6313521,3957115,3957116,6313524,9612042,13991923,19540788,26260012,34125752,43213243,34579983,34579984,39838932,31156173,23668309,17349987,17349988,23668311,31156177,34125660,43211810,53723621,53725071,53725072,65781602,53725068,43213174,43213175,53725069,48958383,39036550,39036549,39036540,30447216,23039556,16794843,11743061,11743062,16794845,23039562,30447229,39036564,48958400,60354575,67783984,79136432,65781911,60606411,49205775,49205776,55707840,269566150,44590875,44590876,55440746,60606417,60354605,48958438,39036597,39036596,30682356,23265628,23265627,30682354,27251381,27251382,35375985,30682357,30682358,39279301,44800609,55707807,44800628,35375968,35375967,44800627,52053132,52053107,52053106,63872152,258553761,68104958,258873178,63872171,52053129,41738322,41738323,52053131,52053126,52053125,63872164,257569142,60354632,55368971,44522907,44522908,55368973,67708653,67562522,269189943,44367844,55218938,67562516,67562517,81031670,86406127,72810971,60073651,60073652,72810974,67708659,55369030,44522956,44522955,55218941,55218942,67562499,60354621,48958459,39036616,39036615,42054148,42054147,48282915,38371903,29799592,29799591,38371901,44522958,44522957,55369031,67562513,67562512,67562495,55218909,44367800,44367801,44367775,34989648,34989647,44367773,46993124,37108029,28599545,28599546,27060961,20167164,20167162,27060954,28599527,21366414,21366412,27061714,256224733,37108038,35147449,35147448,35146585,256475426,29821615,27061021,27061022,27061722,27061721,28599529,37108018,46993117,38394002,38394003,35146469,27061023,20167198,254979213,6542597,6542598,9954797,14468809,20167208,27061038,22454319,16285464,16285465,22454323,29821638,38394034,34989640,34989641,35146570,27061008,20167190,20167189,27060946,20167158,20167159,255055058,22894086,26908804,27061726,35147445,40040543,39267577,30671452,23255557,16992251,11906641,11906640,16992247,23255551,256473453,49193816,50098793,50098792,61578739,74355522,73339274,73339275,71571577,58844671,47459251,47459252,46992441,37107343,28598932,28598933,37107344,268441482,71079087,58362608,58362609,71079089,72937047,72937017,72937016,72937023,60197760,254954138,30292441,30292443,38878421,48800818,60197767,72937026,60197797,48800854,38878456,30292465,22894074,22894073,30292461,38878451,47172483,47172484,58561484,60197819,256523852,87785457,87918412,74314986,74314987,84642198,71079636,60197806,60197805,49920531,49920532,43213448,43213447,53725365,256181684,72937028,74180755,74180754,256701132,58561473,47172475,47172476,58561475,256701126,71079635,61400580,49920526,49920527,61400582,74180756,87075613,98434879,84513389,84513388,87823630,74219267,61439938,49962080,39945316,39945317,49962083,61439943,74219270,85646228,84513400,84513392,70949778,58232578,46864693,36986199,256215150,21273113,28489359,31269358,31269357,29456575,29456576,31690157,24181644,17813320,17813319,24181642,31690154,40383626,50417985,47932427,47932426,58068237,46695806,36812738,36812739,37316307,47225111,50338577,50338578,47225080,47225079,58618379,50338551,50338552,47225120,47225119,47932437,38018569,38018568,47932435,258029066,47225095,47225096,58618370,256841036,37316273,47225071,58618368,268607974,256302426,58735374,71355514,74613653,61821816,50338575,40378492,40378493,50413092,47225073,47225072,257180784,36812729,28316564,28316563,36812726,46695796,46695801,46695802,258010736,58216513,50338562,40312689,40312688,50338559,58674371,47283142,37373678,28833842,28833843,37373680,47283144,58674374,58674417,47283179,37373718,37373719,47283181,46395453,36534672,36534673,46395456,55736114,59987723,48992224,39068092,30475780,30475779,39068089,46662340,36777001,28280970,21076066,21076067,28280975,36777004,37443158,46299611,49250107,49250106,40489792,40489793,50525348,62017068,55741950,44834048,35408664,27283070,20347650,20347649,27283069,35408662,44834045,55741946,52476766,42121677,33165391,33165392,42121678,50525345,50525346,62017066,268902810,52476769,64346999,256814710,60739806,73488890,81629910,268372290,46478904,46478905,255789760,46397211,46397212,268092530,52476770,52476771,60723818,73471916,87089668,77512658,74078617,61297062,49817168,39796399,31115823,268674275,49817165,61297059,65167073,60723771,60723772,73471891,73471919,60723824,49321652,39393564,30790911,23364925,17095816,17095817,23364927,307909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Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163812, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7613978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356486, s2 = 8572048, int(edited[s2]) = 0 s1 = 10356486, s2 = 8572048, d1 = 60, d2 = 41 Dl.O(d1) = 264177533,263494952,273099916,261650530,46993038,257437949,71079607 Dl.O(d2) = 139809104,152526546,261959021,133545473,119670719,105432586,91210504,271350210,33006808,25281988,18709315,13316211,254643987,3721950,2228580,2228581,3721954,5951624,6811994,6768617,6768618,4275954,4275955,5945556,3717971,3717972,2530658,2530657,4232653,4853833,7671267,11531423,255344672,10323155,10323157,6792366,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576319,4308594,5956270,5956268,9102968,13276299,13276298,13278995,14075917,267983563,254710519,6805032,9057263,13272420,14969137,10301306,9712323,9712324,14117028,15041191,15041193,268021723,9079416,13297547,9095149,9095148,13314427,10354946,10354947,14949919,20850228,14966465,255001655,10315135,10337383,10337382,255155375,255155373,20942741,15034220,13308220,13308221,18701391,254671860,41939637,256694308,37924024,255880771,15926449,255444069,29357730,258682371,58495670,256867915,21443407,15447570,15447572,17247793,12129564,254622207,3511553,3511554,5648405,8680537,8970380,5856031,3655496,3655497,5675921,3530198,3530201,5675935,6292472,3941232,2359290,1366029,778080,778081,1366033,2359306,3941261,6292411,9586155,13366417,9462438,6204351,6204350,9462434,13798826,14417658,9916129,6516697,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444156,254471465,9920455,14421993,13352642,254471488,4593813,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763390,4593234,7283526,11002751,9135874,254917507,15873621,255440273,15872663,21966651,24575706,18133785,12858661,8744406,5692864,5692863,8744403,6154407,254663417,12858679,8744418,5978815,4593181,4593150,4593153,7283408,7271518,7271517,255064069,18767777,13364163,13364162,18767653,25349530,26220353,19506340,13962034,9586332,6292544,267939821,13366740,254646949,5978045,8826077,5750861,3580851,254431223,8826083,12967143,15449468,10681771,7056169,4442120,2668241,1545222,1545221,2668236,4442111,7056144,10681721,15449407,11226105,268085423,15449352,10681685,10681686,7448819,4706314,2835139,2835138,4706308,4706307,7448807,11226076,11226077,16157980,16158102,16158101,22303800,21445786,21445787,21397678,18271175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356486, s2 = 8572048, dlinesl.size( ) = 44 s1 = 1435711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13270219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9690349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 871142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2493899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2493899, s2 = 15325038, int(edited[s2]) = 0 s1 = 2493899, s2 = 15325038, d1 = 7, d2 = 7 Dl.O(d1) = 33502816,33502815,42501376,52910846,258428735,91960758,271555265,112601586,98606190,98606191,84681061,71116315,71116314,84681059,84681055,84644554,71082207,58366075,268612780,46996033,37110770,28601885,258048431,84644556,258050696 Dl.O(d2) = 33502816,33502815,42501376,52910846,258428735,91960758,271555265,112601586,98606190,98606191,84681061,71116315,71116314,84681059,84681055,84644554,71082207,58366075,268612780,46996033,37110770,28601885,258048431,84644556,258050696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2493899, s2 = 15325038, dlinesl.size( ) = 2 s1 = 2493899, s2 = 15325038, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2493899, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 2820478, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13393627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8344233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8344233, s2 = 11658249, int(edited[s2]) = 0 s1 = 8344233, s2 = 11658249, d1 = 10, d2 = 2 Dl.O(d1) = 37155657,28639895,21399410,21399411,28639898,37155663,47046490,58421368,258051528,84713073 Dl.O(d2) = 42709385,33679375,33679376,42709386,257825115,78424834,92460657,92460659,92460658,84713071,78424839,257267190,42709388,33679378,25873258,25873257,33679376,269100171,78424837,84713071,71143104,58421366,58421367,257267192,42709388,42709389,256707032,33679377,25873258,19214632,19214633,256158297,42709392,53159029,65143245,78424841,259699203,115774616,101729597,87757151,258247617,49892209,39870089,31187542,31187543,39870090,49892210,61372664,258870027,101729599,115774618,129671314,142999154,261447149,120116304,105904424,91697056,77769529,64586589,52685967,42299260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8344233, s2 = 11658249, dlinesl.size( ) = 16 s1 = 6846698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13496829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13267715, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2821780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13574177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13574177, s2 = 2950114, int(edited[s2]) = 0 s1 = 13574177, s2 = 2950114, d1 = 26, d2 = 5 Dl.O(d1) = 260340052,84727770 Dl.O(d2) = 87964713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13574177, s2 = 2950114, dlinesl.size( ) = 2 s1 = 13574177, s2 = 2950114, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13574177, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 186677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 186677, s2 = 10336566, int(edited[s2]) = 0 s1 = 186677, s2 = 10336566, d1 = 22, d2 = 19 Dl.O(d1) = 254733309,4431715,4431716,7042232,268613535,71170500,259305587 Dl.O(d2) = 141819959,262283851,175841276,263131131,175841306,175841305,175841304,185345685,193637154,263933862,165117484,153304863,140625270,127279474,113420734,99419115,85477916,85477913,99419111,260568947,140625260,153304852,273344265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 186677, s2 = 10336566, dlinesl.size( ) = 8 s1 = 6694292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6694292, s2 = 6624315, int(edited[s2]) = 0 s1 = 6694292, s2 = 6624315, d1 = 94, d2 = 63 Dl.O(d1) = 257444363,71179143,84747916 Dl.O(d2) = 256655794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6694292, s2 = 6624315, dlinesl.size( ) = 18 s1 = 8343866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8343866, s2 = 14109222, int(edited[s2]) = 0 s1 = 8343866, s2 = 14109222, d1 = 11, d2 = 13 Dl.O(d1) = 258679717,71182740,84751446,259306409 Dl.O(d2) = 257838506,33879184,33879185,257245819,64320335,64320336,270514891,91414841,105640653,119879210,133749436,146999648,159382992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8343866, s2 = 14109222, dlinesl.size( ) = 14 s1 = 6694646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7623469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8257488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8257488, s2 = 11477818, int(edited[s2]) = 0 s1 = 8257488, s2 = 11477818, d1 = 82, d2 = 65 Dl.O(d1) = 261286954,259502096,89919699 Dl.O(d2) = 263828786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8257488, s2 = 11477818, dlinesl.size( ) = 78 s1 = 6698241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6698241, s2 = 7702980, int(edited[s2]) = 0 s1 = 6698241, s2 = 7702980, d1 = 27, d2 = 32 Dl.O(d1) = 257481824,71207633,256360054,98704824,99306352,85361422,71771594,59028867,47626353,37703652,37703651,254162650,58807846,47420558,37512848 Dl.O(d2) = 185846253,273129247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6698241, s2 = 7702980, dlinesl.size( ) = 2 s1 = 6698241, s2 = 7702980, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6698241, Dl.E( ) = 44, 3.1e-05 seconds used appending s1 = 14163244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657020, s2 = 15109253, int(edited[s2]) = 0 s1 = 11657020, s2 = 15109253, d1 = 11, d2 = 7 Dl.O(d1) = 270846262,61235246,49756253,39737446,31059290,23575688,17264258,12143865,12143866,17264259,23575691,31059294,39737448,42296438,42296439,52683059,64583585,76996565,63886091,52067936,41754089,32833249,25128378,18575936,13201029,8999385,8999386,13201032,18575942,25128383,25128384,30691108,30691109,39288357,49215039,60615753,73360591,86972166,100956516,260670753,142264461,154898470,166598392,177171069,184841571,184841569,175282498,164511078,152666171,259311352,112757406,98767454,84840277,71266128 Dl.O(d2) = 47146118,255036646,21455177,28710096,23972578,17624357,12443914,8451502,5459429,5459430,8430111,8234981,8234982,5599376,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,1970244,1124979,630930,630928,630881,350294,350295,630886,1120505,628728,349243,349244,628733,1120516,1121094,1121091,1962687,3337381,5428971,8412593,8444448,12474693,17647338,23991915,31489138,40174270,50197905,61681043,74463914,88076309,102062573,116120799,261303635,155906364,167521618,164125576,271805272,126133171,112274040,98292464,84383655,70825972,58110825,46740709,36859012,28360880,23172051,16912936,16908828,11833426,11833422,16908826,23172636,30591198,31430243,31678901,40372347,50407238,61897757,74691406,88318947,102314524,116406800,130243322,143571011,156105901,167709686,178165942,187393805,262705770,200731180,193623919,185331014,175825547,263094490,153286965,140607249,127261807,113403867,99403182,85462472,71877704,59139436,47740719,37818258,29252982,21932075,255398522,7268055,6292612,6292611,9586448,13962188,19506513,21883817,15807694,10953976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657020, s2 = 15109253, dlinesl.size( ) = 2 s1 = 11657020, s2 = 15109253, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657020, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 8291480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8291480, s2 = 2825908, int(edited[s2]) = 0 s1 = 8291480, s2 = 2825908, d1 = 17, d2 = 24 Dl.O(d1) = 257449621 Dl.O(d2) = 84845728,98772589,112762456,126617955,261660889,271774386,98772591,84845729,84845730,98772592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8291480, s2 = 2825908, dlinesl.size( ) = 8 s1 = 3127466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3127466, s2 = 8291481, int(edited[s2]) = 0 s1 = 3127466, s2 = 8291481, d1 = 20, d2 = 30 Dl.O(d1) = 98772618,84845761 Dl.O(d2) = 257449620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3127466, s2 = 8291481, dlinesl.size( ) = 26 s1 = 1115857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2825984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2826618, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2500534, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14164812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2827235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6642468, s2 = 11267656, int(edited[s2]) = 0 s1 = 6642468, s2 = 11267656, d1 = 53, d2 = 29 Dl.O(d1) = 256873104 Dl.O(d2) = 57801782,57801783,258633559,259879199,120093795,105882178,91675170,77747867,77747868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6642468, s2 = 11267656, dlinesl.size( ) = 2 s1 = 6642468, s2 = 11267656, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6642468, Dl.E( ) = 112, 4.1e-05 seconds used appending s1 = 9662590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662590, s2 = 14950208, int(edited[s2]) = 0 s1 = 9662590, s2 = 14950208, d1 = 18, d2 = 23 Dl.O(d1) = 263153282,261722990,98826449,84899848 Dl.O(d2) = 112817545,98826451,98826452,107088572,258454882,33864394,26042379,255293349,9501573,257245145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9662590, s2 = 14950208, dlinesl.size( ) = 14 s1 = 10299066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10299066, s2 = 14164393, int(edited[s2]) = 0 s1 = 10299066, s2 = 14164393, d1 = 14, d2 = 7 Dl.O(d1) = 235142530,235972044,235028682,233991973,232854065,232854066,233991975,235028676,235028675,233991970,232854063,232854064,233991972,235028680,235972043,236831087,266606177,238322514,238322515,237612067,236831093,235972051,235972052,235972047,235028684,235028685,235972050,235972039,235028674,233991967,232854061,232854062,231597253,230196664,228619782,226826222,224769259,222399274,219637997,216368928,212426557,207605970,201760336,194815904,186701846,177385245,166837055,261800387,129121757,115189858,115189857,115189859,129121759,142499102,155143415,166837058,159214725,146841759,133584230,119709748,105470398,91248026,77328050,64180250,269073127,33045756,35333808,39910920,35336081,27211722,27211721,24121973,24121974,31627340,35397418,27270762,20335023,14593914,10042051,10042052,14593916,20335027,27270769,29400732,29400733,26657872,19843800,14216506,14216505,15820577,15820578,15820609,10963897,7257318,7257316,10963563,9592819,9592817,13970000,16414216,11430142,11430144,16414221,22597287,29961817,29380055,22049680,22049681,19005553,19005552,25619826,33385773,42374747,52773719,44641267,269196871,256742546,33047441,25319365,25319364,25319363,26597482,27157883,20246241,14528424,14528423,20246239,27157881,23187375,23187377,30606537,35398226,35398225,34584639,32601734,26603596,26603595,26607300,22285170,16141642,11213722,11213721,16141640,21902510,15822690,10965112,10965111,14185696,16780251,16780252,17261731,15057110,15057111,12058292,12058294,12863843,18140541,24584509,25849154,254362354,16511211,22715578,19791982,19791981,26597988,34585105,43856053,35336468,28714062,21458445,15458736,15458735,21458442,28714058,29383670,30425789,23020878,20280592,20280594,20281570,16231244,11283820,11283819,8522340,8522339,12567427,8522390,5521110,3407889,267773345,1149678,2010489,3407885,5521102,254522288,15959665,21903619,21546717,18745245,18745249,22050546,22050542,18130680,18130682,14528476,9996994,6570213,6570212,9996992,14528473,20246324,25563189,18951549,13514972,9996955,6570194,6570195,4115841,4115840,6570200,9996966,14528423,20246238,23187376,16921096,11842242,7914206,5031049,5031048,7914205,11842241,11948597,11948595,16220214,18130109,21902892,29217231,26603601,26603600,21899938,21899936,21899940,15820801,10964005,10964006,15820804,254349008,21713032,21713033,23318617,23318616,30738790,38203175,48114196,59502228,72237443,85829681,99782908,99782907,258109956,127665109,141013401,128070982,128070981,141436501,128070983,114184145,114184146,100153616,86190729,72593184,59855484,48464610,48464609,38751853,30168696,22779659,16564316,16564317,22779661,19662064,14093738,9693640,9693639,14093737,19662062,19818626,26395799,19661685,14093458,9693466,9693465,14093455,16659447,16659446,22888220,30286046,38871906,48794354,48794355,60191102,72930551,86529077,100487741,98607978,84683074,72930550,71118661,58400970,47029019,37140585,28627336,28627340,37140594,47008258,37121716,28611169,21375902,15394505,15394504,21375900,255732438,29284504,21958899,15866430,15866431,255732436,37852627,30451900,30451898,39041299,48962580,47775779,268331188,44450846,48962575,269834215,100672712,112574642,269616020,71095479,71095478,258646268,98274633,256832544,36836304,28339446,21127269,15178636,15178637,21127271,28339452,36836320,46718975,58090767,52110257,52110256,58090772,46718977,46718976,58090769,59174511,59174512,71912292,70807544,58090749,58090748,62102429,74905809,77018052,71333443,58601108,47211254,37304656,28771271,28771272,37304658,47211259,58601114,71333445,82284849,84905946,257454174,70944055,84507740,71333561,58601257,47211389,47211388,58601255,47211426,47211427,58601242,47211374,37304751,37304752,47211376,58601244,255841386,47211249,37304649 Dl.O(d2) = 155475945,142898777,129583622,271776374,87683276,74076116,74076117,74076119,74076118,74076110,61294416,49814722,49814724,61294421,74076114,87683273,101654622,115698060,129583648,142898797,144415374,144415375,155475959,142898799,129583649,129583650,142898800,155475961,144415376,131184131,117380224,117380223,131184130,131184127,117380220,117380221,131184129,117380225,103250143,89159732,75411818,62492923,258315183,258315181,71118659,76600675,63521214,63521213,76600674,63521215,51743457,41474706,41474705,51743455,256606003,24935679,18423716,13086439,8917701,5819523,3630223,3630222,5819521,8917697,13086437,18423712,24935671,32593829,32593830,41470847,51739604,51739611,51739608,41470851,41470852,32593834,32593833,41470853,254952884,40582023,31877904,24352983,17959927,12727101,12727102,12500851,8467984,6011557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10299066, s2 = 14164393, dlinesl.size( ) = 2 s1 = 10299066, s2 = 14164393, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10299066, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 15610353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15610353, s2 = 9223552, int(edited[s2]) = 0 s1 = 15610353, s2 = 9223552, d1 = 5, d2 = 23 Dl.O(d1) = 7847693,7847697,11753414,16807839,15215261,10495562,6920953,6920954,10495567,11320612,15059673,20969688,16933831,16933828,255969045,39224262,49150766,60550036,51993763,51993762,63809190,63809187,51993758 Dl.O(d2) = 258304484,54648717,43906332,257886483,80331951,94339164,94386137,80331958,80331959,94386138,260378255,261537001,136724214,122892349,108628188,94341087,80285010,66855406,54596600,43852182,34580594,26593393,19788114,14173890,9744147,9744146,14173889,9745130,7265296,7265295,7268555,7268553,9742944,9742943,14172045,9742913,9742915,7440505,4701414,2832393,2832394,4701416,7440507,10981041,10981042,15845493,21932911,29253916,30212767,22820781,22820783,22272887,255535876,30551941,30551943,29636905,22285158,16141633,11213712,11213714,7440693,4701514,4701515,6412094,4022539,2410195,1394532,1394529,2178977,1394448,1394450,1393703,792629,792632,1393713,2408508,4019335,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394151,2409379,4020940,6409274,9747222,8661218,5634162,5634161,8661202,12744998,14594853,18445887,13103216,13103215,14184497,9751016,9751018,14184504,19802640,19796410,14180010,14177281,13340666,9114793,5963627,3729179,2232665,2232668,3729192,5963652,9114834,13340728,13151220,13151219,9744490,6407526,6407525,6581543,4123580,2466932,2466930,4123566,6581509,10013667,9748809,9748807,14180973,19052892,14174188,9747163,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740067,25317930,23417618,23417619,23750573,20334648,17760559,17760558,12588190,12588189,10964743,7257773,7257774,10964746,15822071,17760441,17760439,15822076,15822077,15822378,14552294,10013225,6581273,4123430,4123431,5521174,4123325,2466793,2466795,4123330,6581084,7833428,7833430,11732815,15057053,15057051,20966786,28145066,23750937,17425239,12566944,12566945,17759226,24120405,31233750,23750416,23750415,23817683,23817682,30426062,37479493,28937483,21658926,21658925,28937477,24121844,24121843,22062503,21903098,21903100,21902084,15822352,15822353,21902088,29212611,21898468,15819744,15819748,21898449,15945903,11065489,11065487,15945924,20977423,28156613,29398030,28810320,21542628,15525983,10737848,7094477,7094475,10737839,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,16604198,16604197,22824929,16921513,16921512,23187926,25857938,27158426,29217581,23187170,16920915,16920914,21861483,21861482,16874171,11804577,255133475,11916733,7971553,5072295,5072294,7971549,11916727,17003750,23267685,30684633,39281572,48077493,256591306,30871818,30871819,38954143,30368002,30368003,33305205,25543385,25060379,25060378,32752471,28429668,21205837,15239625,10512801,10512802,15239628,21205843,22677819,16480822,16480821,22677814,30053996,32222068,24627535,18174478,12889095,12889093,18174475,24627526,32222058,28452342,23267690,17003753,17003754,22677773,16480797,11483312,11483313,16480802,22677781,22700609,16497139,16497138,22677833,30054021,37601338,30684658,26891917,20010786,16480783,14331315,14331314,20010787,22700985,20010979,20010980,26892141,256735955,26891673,20010564,20010563,14331612,9845123,6466097,4051357,4051358,6466101,254968575,6465944,6465945,9844877,14331245,20010712,20277980,14549535,10011244,7644744,4836455,4836454,7644743,11493931,14549834,14550324,10011835,6580295,6580294,254984859,268178555,27206679,35331945,44759731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15610353, s2 = 9223552, dlinesl.size( ) = 2 s1 = 15610353, s2 = 9223552, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15610353, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 2829570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8397367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2713075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6869442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2505430, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2505815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8386668, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2831928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2832293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2833137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6512309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13560261, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9703102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6552394, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13534737, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9568434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2513139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13301083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659424, s2 = 16311440, int(edited[s2]) = 0 s1 = 11659424, s2 = 16311440, d1 = 0, d2 = 0 Dl.O(d1) = 136347909,122362403,107934784,107934783,93496751,79360191,65993186,53924304,256706148,26422084,19685194,14113356,9709207,6387010,6176056,3864572,3853032,3817520,2287047,1326805,1326809,2287038,2364523,3948735,5726619,3926598,3901244,2336488,2336492,3900449,6229943,9457448,9500152,9149276,6229913,3900427,2336029,1354003,772300,438649,247455,247458,438662,772321,1354052,2336151,254457429,4098421,4098422,6541673,9953487,10978588,10978586,9960814,6546650,6546649,9960812,14476804,11767181,11767180,13380171,9145699,6538723,4986440,3011859,1749404,994754,560010,560009,994752,1749400,3011850,4097808,2451432,1417287,1417288,2451437,4097821,4519072,2716157,1573844,894885,504835,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749483,1749482,1749571,254371943,6558361,4108753,4108755,6558363,9978171,11769615,14107279,255514781,11767783,7856675,7856676,11767786,16828222,23080549,20170772,14471908,14471909,10850829,7173486,6168187,3859510,2312108,1341329,1341328,2312106,3859505,6168179,9414336,13740967,17881099,12664930,8600484,8600485,12664935,17881107,13740929,13740930,19233200,20157993,16828296,11767842,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279682,16226044,20175939,20175940,27071083,256609827,32651736,41540345,39092466,30496300,30496298,33189663,268830093,44576659,35198302,35198303,44515159,44515160,37983025,29420130,29420131,26650944,19837452,18114989,18114990,22574998,19837515,14211403,9769732,6423541,4029893,2414899,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358824,11095917,15983229,11415691,11095835,7358791,4648444,2800034,2800033,4648437,7358778,11095815,15983060,16392156,11408658,7581003,7581002,11408654,16392145,22574807,27052142,20158926,14461819,11117398,11117400,11027911,11027909,12845153,11845450,11845454,16924790,14467579,9953848,9953849,14467581,20165686,27059250,256168654,19358744,13846699,13846700,255700615,26036440,256686415,53368364,65372132,78676678,259712423,107079185,260923293,135225271,148391526,160653919,262971749,177379236,166830062,262234092,129114832,115183116,101104963,87106844,73488038,60738854,49335341,39405709,30801114,23373759,268110173,12281012,17424022,23749486,31232929,39909302,34598521,26611497,26611496,29217217,21902881,15822980,10965301,7258069,7258068,10965299,15822975,21902873,26608974,34596077,33662776,267829032,19199983,23879847,19356222,13843992,9496437,9496439,11823821,11823732,7901656,5022784,5022788,7901679,6594852,4131585,4131586,254697583,14583948,14583924,14583925,20321797,15282914,12069869,12069871,10535413,10535412,15268173,21236757,21261622,21237194,15281329,10547272,6956013,4370534,4370532,4029047,2414280,254313361,2621457,2621459,4376619,6966364,5196847,5196845,5958777,5958776,6060564,6060565,9253798,6960076,4372980,2619663,1512335,857448,484128,484129,857449,1512338,2619674,4373011,6066355,6066842,9253776,6060548,267812057,1317369,751639,751638,1317367,2271479,3791972,6060529,4377870,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968404,10565029,15257936,15257935,10842585,7167771,7167774,10842592,12019010,12019009,17104669,23373761,30801116,39405711,49335342,58795083,47408035,37500481,28957526,21676254,15637705,10821376,7151654,7151656,10821391,15637726,21676299,28957606,37500584,47408153,58795200,71524486,81253925,85096350,85096351,81253909,71524485,71524484,81197786,71524507,58795218,47408168,37500593,37500592,44544593,44591614,44591615,55441490,67784669,71524500,71524499,80277340,66847783,54588981,54588980,66847781,258734757,59266814,47871252,257501239,44591611,44591610,37953085,29388131,29388129,37953083,47871250,59266810,67784662,257467413,47408166,58795079,256887185,37500480,47408033,58795081,71524373,85096257,99021279,260547439,140208145,152898446,262673929,185023040,193353655,193353675,193353666,193353665,185023045,263870429,185023051,175483177,175483176,185023048,193353665,185023045,262673931,152898447,152898446,164729716,175483174,185023042,193353661,200502773,193353669,193353670,200502781,206539997,200502786,193353674,263870433,263870431,175483178,175483176,185023049,193353668,200502780,206540002,206539993,206539994,200502784,193353673,185023052,175483178,164729717,152898447,152898446,164729716,175483175,185023044,193353663,264191737,211529254,211529261,215605988,211529258,206540006,200502788,263511779,175483180,262192385,262192387,175483181,185023057,193353681,200502790,206540003,264478997,215605985,218975212,265373853,265706273,229833162,231270415,266219579,234783357,235748655,236626691,237426892,238153162,238814246,239421475,239982098,240501708,240984197,241430558,241844359,242226716,242580258,242909678,243216447,243503859,243771008,244018560,244248831,244462486,244661832,267383963,245186614,245340437,245485693,245622352,245749453,267489335,245701344,267446461,245285899,267395877,244780590,244588813,244383129,244161668,243923856,243669083,243395053,243101086,274920313,242087374,242087373,267027971,240806790,240310014,266828831,238562571,237873621,237117177,266475071,234386493,233292447,232083861,230741668,229235723,227531958,225583444,223343239,220752497,217709496,214064000,209623948,204213165,197728353,190117826 Dl.O(d2) = 136347909,122362403,107934784,107934783,93496751,79360191,65993186,53924304,256706148,26422084,19685194,14113356,9709207,6387010,6176056,3864572,3853032,3817520,2287047,1326805,1326809,2287038,2364523,3948735,5726619,3926598,3901244,2336488,2336492,3900449,6229943,9457448,9500152,9149276,6229913,3900427,2336029,1354003,772300,438649,247455,247458,438662,772321,1354052,2336151,254457429,4098421,4098422,6541673,9953487,10978588,10978586,9960814,6546650,6546649,9960812,14476804,11767181,11767180,13380171,9145699,6538723,4986440,3011859,1749404,994754,560010,560009,994752,1749400,3011850,4097808,2451432,1417287,1417288,2451437,4097821,4519072,2716157,1573844,894885,504835,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749483,1749482,1749571,254371943,6558361,4108753,4108755,6558363,9978171,11769615,14107279,255514781,11767783,7856675,7856676,11767786,16828222,23080549,20170772,14471908,14471909,10850829,7173486,6168187,3859510,2312108,1341329,1341328,2312106,3859505,6168179,9414336,13740967,17881099,12664930,8600484,8600485,12664935,17881107,13740929,13740930,19233200,20157993,16828296,11767842,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279682,16226044,20175939,20175940,27071083,256609827,32651736,41540345,39092466,30496300,30496298,33189663,268830093,44576659,35198302,35198303,44515159,44515160,37983025,29420130,29420131,26650944,19837452,18114989,18114990,22574998,19837515,14211403,9769732,6423541,4029893,2414899,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358824,11095917,15983229,11415691,11095835,7358791,4648444,2800034,2800033,4648437,7358778,11095815,15983060,16392156,11408658,7581003,7581002,11408654,16392145,22574807,27052142,20158926,14461819,11117398,11117400,11027911,11027909,12845153,11845450,11845454,16924790,14467579,9953848,9953849,14467581,20165686,27059250,256168654,19358744,13846699,13846700,255700615,26036440,256686415,53368364,65372132,78676678,259712423,107079185,260923293,135225271,148391526,160653919,262971749,177379236,166830062,262234092,129114832,115183116,101104963,87106844,73488038,60738854,49335341,39405709,30801114,23373759,268110173,12281012,17424022,23749486,31232929,39909302,34598521,26611497,26611496,29217217,21902881,15822980,10965301,7258069,7258068,10965299,15822975,21902873,26608974,34596077,33662776,267829032,19199983,23879847,19356222,13843992,9496437,9496439,11823821,11823732,7901656,5022784,5022788,7901679,6594852,4131585,4131586,254697583,14583948,14583924,14583925,20321797,15282914,12069869,12069871,10535413,10535412,15268173,21236757,21261622,21237194,15281329,10547272,6956013,4370534,4370532,4029047,2414280,254313361,2621457,2621459,4376619,6966364,5196847,5196845,5958777,5958776,6060564,6060565,9253798,6960076,4372980,2619663,1512335,857448,484128,484129,857449,1512338,2619674,4373011,6066355,6066842,9253776,6060548,267812057,1317369,751639,751638,1317367,2271479,3791972,6060529,4377870,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968404,10565029,15257936,15257935,10842585,7167771,7167774,10842592,12019010,12019009,17104669,23373761,30801116,39405711,49335342,58795083,47408035,37500481,28957526,21676254,15637705,10821376,7151654,7151656,10821391,15637726,21676299,28957606,37500584,47408153,58795200,71524486,81253925,85096350,85096351,81253909,71524485,71524484,81197786,71524507,58795218,47408168,37500593,37500592,44544593,44591614,44591615,55441490,67784669,71524500,71524499,80277340,66847783,54588981,54588980,66847781,258734757,59266814,47871252,257501239,44591611,44591610,37953085,29388131,29388129,37953083,47871250,59266810,67784662,257467413,47408166,58795079,256887185,37500480,47408033,58795081,71524373,85096257,99021279,260547439,140208145,152898446,262673929,185023040,193353655,193353675,193353666,193353665,185023045,263870429,185023051,175483177,175483176,185023048,193353665,185023045,262673931,152898447,152898446,164729716,175483174,185023042,193353661,200502773,193353669,193353670,200502781,206539997,200502786,193353674,263870433,263870431,175483178,175483176,185023049,193353668,200502780,206540002,206539993,206539994,200502784,193353673,185023052,175483178,164729717,152898447,152898446,164729716,175483175,185023044,193353663,264191737,211529254,211529261,215605988,211529258,206540006,200502788,263511779,175483180,262192385,262192387,175483181,185023057,193353681,200502790,206540003,264478997,215605985,218975212,265373853,265706273,229833162,231270415,266219579,234783357,235748655,236626691,237426892,238153162,238814246,239421475,239982098,240501708,240984197,241430558,241844359,242226716,242580258,242909678,243216447,243503859,243771008,244018560,244248831,244462486,244661832,267383963,245186614,245340437,245485693,245622352,245749453,267489335,245701344,267446461,245285899,267395877,244780590,244588813,244383129,244161668,243923856,243669083,243395053,243101086,274920313,242087374,242087373,267027971,240806790,240310014,266828831,238562571,237873621,237117177,266475071,234386493,233292447,232083861,230741668,229235723,227531958,225583444,223343239,220752497,217709496,214064000,209623948,204213165,197728353,190117826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659424, s2 = 16311440, dlinesl.size( ) = 2 s1 = 11659424, s2 = 16311440, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659424, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9487664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9660360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9169276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7557081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7557081, s2 = 11658267, int(edited[s2]) = 0 s1 = 7557081, s2 = 11658267, d1 = 1, d2 = 1 Dl.O(d1) = 267869801,1399419,1399421,2417433,4033889,2417424,1399417,1399415,2417418,4033870,6429872,9779468,14225596,255730863,255318129,14236552,14243618,14239174,9788455,6435205,4036862,4036861,6435201,9788445,14239159,14242414,14242413,19878174,14245988,9793053,6437992,6437993,9793060,14245999,17241598,17241597,23549508,24828011,32467060,29805038,22438896,16271327,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,7159948,4509537,4509536,7159944,10831343,10831720,10831723,7512915,5961206,5961205,9110693,13334157,18730734,25306289,256068890,256346287,47420526,58807819,71536901,258327074,47420527,47420526,258078901,85108252,99033025,113020935,126872928,140219534,152909290,152909288,140219528,126872922,113020928,99033020,99033021,113020929,126872921,113020928,113020927,126872920,126872930,126872929,140219536,152909296,262674563,262402188,152909292,261360952,113020931,99033022,99033023,113020932,261125873,272840809,175492638 Dl.O(d2) = 267869801,1399419,1399421,2417433,4033889,2417424,1399417,1399415,2417418,4033870,6429872,9779468,14225596,255730863,255318129,14236552,14243618,14239174,9788455,6435205,4036862,4036861,6435201,9788445,14239159,14242414,14242413,19878174,14245988,9793053,6437992,6437993,9793060,14245999,17241598,17241597,23549508,24828011,32467060,29805038,22438896,16271327,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,7159948,4509537,4509536,7159944,10831343,10831720,10831723,7512915,5961206,5961205,9110693,13334157,18730734,25306289,256068890,256346287,47420526,58807819,71536901,258327074,47420527,47420526,258078901,85108252,99033025,113020935,126872928,140219534,152909290,152909288,140219528,126872922,113020928,99033020,99033021,113020929,126872921,113020928,113020927,126872920,126872930,126872929,140219536,152909296,262674563,262402188,152909292,261360952,113020931,99033022,99033023,113020932,261125873,272840809,175492638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7557081, s2 = 11658267, dlinesl.size( ) = 2 s1 = 7557081, s2 = 11658267, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7557081, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8266046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9160517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9160517, s2 = 761578, int(edited[s2]) = 0 s1 = 9160517, s2 = 761578, d1 = 2, d2 = 86 Dl.O(d1) = 37555426,256350269,29009296,257472403 Dl.O(d2) = 256223818,66879711,54622047,44513467,44513468,42923780,33878223,26055236,19374395,13858758,9507104,6235590,6235589,9507100,13858752,19374384,16436811,11451850,11451849,16436809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9160517, s2 = 761578, dlinesl.size( ) = 48 s1 = 6433199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6433199, s2 = 10352911, int(edited[s2]) = 0 s1 = 6433199, s2 = 10352911, d1 = 24, d2 = 23 Dl.O(d1) = 254324309,1470679,1470683,2553092,4267991,4258703,4258705,6792453,10323248,10338067,13275608,9060429,5924103,5924105,9060436,10364985,6827947,4283626,257013025,256382162,255136707,23185757,30604843,31544220,24040829,17688888,17688886,24040818,31544203,40230566,256892658,71577062,260568571 Dl.O(d2) = 272090587,272778253,263797375,274071919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6433199, s2 = 10352911, dlinesl.size( ) = 14 s1 = 1818927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8104999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8104999, s2 = 8429949, int(edited[s2]) = 0 s1 = 8104999, s2 = 8429949, d1 = 28, d2 = 26 Dl.O(d1) = 256694016,33505880,25727468,19095901,13633541,13633543,13620941,10724724,7085673,4461148,2680067,1552464,882657,882658,1552467,2680074,4461164,267965071,6095061,6095062,9304769,13589224,13569681,13569679,17275102,12154574,8185010,8185012,12042121,8095548,5186416,3164098,3164097,5186412,8095541,9361116,9361115,9298014,6111539,3823938,3823937,6111533,9321755,9321754,13610224,13610226,13610424,13610402,9319656,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074470,9273624,9328384,6110482,3823369,2290679,2290678,3823367,6110531,9328461,10485415,10485417,7294096,7294095,11017813,13655837,18979560,13588638,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073246,17822373,17822371,24191535,19006015,19006016,25620284,21989394,21989393,24237828,31748960,29798725,29798726,23869969,17525599,255566139,31364430,25625840,19011094,19011093,25625838,25624497,19009846,19009845,25624493,25242657,25242658,32964397,33390946,33390947,29058754,29058755,31656670,31656671,32839812,25789614,25789615,31758275,33385984,29293155,21966089,15872027,15872026,16109969,11190100,8590539,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,9316408,9316406,13605465,19058237,23874212,23874211,19010630,13568016,13568017,19010632,25624880,19010233,19010234,25624883,31486641,31486643,33585065,33585066,256275211,28051174,36515489,35024277,256740019,257475561 Dl.O(d2) = 259062091,106578760,272018995,191884323,183315233 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10333753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6861142, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3417532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3417532, s2 = 3394009, int(edited[s2]) = 0 s1 = 3417532, s2 = 3394009, d1 = 7, d2 = 8 Dl.O(d1) = 113121483,113121484,99130595,85207841,85207823 Dl.O(d2) = 89756344,89756345,76303115,63280767,63280768,76303117,90118310,104252208,112488897,103859969,103859970,118004527,118411939,259248184,259248186,131831789,131831788,118004528,103859971,89756350,89756351,103859972,118004531,118411563,104252182,104252181,271289938,91275223,77355325,64207694,64207695,64207702,257778967,42018371,33074313,25344221,18763556,18763555,25344219,33074309,42018363,52357498,64207701,77355336,90118260,259016884,92416249,78378875,65094917,53107926,53107925,65094918,72179611,72179610,78038050,78038049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3417532, s2 = 3394009, dlinesl.size( ) = 2 s1 = 3417532, s2 = 3394009, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3417532, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14164870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164870, s2 = 7636295, int(edited[s2]) = 0 s1 = 14164870, s2 = 7636295, d1 = 7, d2 = 13 Dl.O(d1) = 175635708 Dl.O(d2) = 270340292,257562304,41700246,41700245,47679969,268414254,29196421,24813501,18324087,18324086,24813500,32448739,24813731,24813732,32449011,37757862,29196388,21884125,15807940,14349052,14349053,20032068,26916418,34997836,268125724,28708474,26155524,19456565,13924053,9557363,9557362,13924050,18324011,24813393,28708487,21453669,21453668,21453673,21453674,18541956,15807745,15807744,12862591,8747462,5695185,3543456,2109868,267805509,8747455,256580275,257716335,70957795,71973217,81131230,67664405,67664404,258216818,64183496,257187233,41994053,52333315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164870, s2 = 7636295, dlinesl.size( ) = 2 s1 = 14164870, s2 = 7636295, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164870, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 14163096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7975939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7975939, s2 = 6609106, int(edited[s2]) = 0 s1 = 7975939, s2 = 6609106, d1 = 45, d2 = 29 Dl.O(d1) = 52674988,42288760,33308705,33308706,25779848,25779845,32901020,25190542,19138525,19138524,16482183,16482181,16215089,16215086,11271942,11271940,16215113,22369676,29726246,28610850,21375630,21375631,28610857,29097726,22889398,254341802,257635473,71659380,260635716,27092870,268414216,34272099,29950406,29950405,38514921,48422126,59327863,72062032,85648959,258391536 Dl.O(d2) = 115661114,261273619,129547345,261273558,74050570,61270968,257049169,255998145,17298075,12176504,255160373,23610676,26345701,19616648,14057272,9666256,9666259,9673857,6362559,6362558,9673849,14066073,19627295,26357915,31093574,23610096,17297648,12176208,12176210,8208277,5279434,5279432,254394004,256502245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7975939, s2 = 6609106, dlinesl.size( ) = 40 s1 = 10214248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656226, s2 = 8542602, int(edited[s2]) = 0 s1 = 11656226, s2 = 8542602, d1 = 13, d2 = 19 Dl.O(d1) = 3805849,2279826,2279822,3805884,6082263,9284776,13191998,18564392,19422138,13895763,9535266,9535265,9535264,255247104,18540187,13173641,11529546,11529543,14597578,10044424,6600758,4135261,2473686,1429910,1429908,2473649,4134888,2473862,2473864,4135632,4766697,7535377,10278743,14944255,14944286,14944287,20354086,20187222,14483908,13305068,10289751,10289752,14605208,10790880,10790881,12643012,14600195,14606585,10050803,10050802,14606581,20349895,15598176,10790502,10790501,15598173,21629135,20960943,15051619,10377691,6838162,6838161,10377690,15051617,20960942,28138997,22264338,255898725,17417574,12276245,8290638,254399641,1104182,1933088,3287159,3296464,5326779,3274134,1938927,1107528,1107530,1938933,3273678,3273675,3295814,1938423,1938422,3295810,5361277,8308957,8266847,5333918,3278704,254398453,3276916,5331126,8263101,5332254,3277593,1927854,1101491,1101492,1927857,3277598,5332260,5366928,5366927,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,3299118,5335864,3279995,1929293,1102300,1102299,1928510,1928511,3278710,5333923,8264114,5332219,5332218,8264581,12238958,17371123,17359712,17359711,17375828,17375829,268066348,12313323,12239296,12239295,12244102,17376045,12272820,8287642,8287643,8533515,8533517,12580555,11232317,11230719,7452230,7452231,254773173,4708408,4708407,7452099,11230566,12274829,15553382,10757389,10757391,8288237,5346774,4713090,4713091,3285887,1932361,1932360,3285877,5346664,8288061,12273258,11230461,11230459,8552965,5550633,3435652,3435648,5550621,254871465,17803699,16169390,11254313,8504886,5505356,3394194,2000530,2000533,3394210,5505393,8504927,12545739,9655726,6349175,6349174,9655722,14043006,17809019,12607705,8556679,5553584,5553585,5016004,5016005,254813019,11816617,11816614,9655713,6349171,6349173,8518298,5516535,5516538,8518307,12563171,12571704,8525858,8525856,7452694,4708738,4708736,7452690,8569492,9191713,8582019,5576200,5553730,3438085,2033968,2033969,3394452,5505751,5508454,5553572,3437994,2033916,1164941,1164940,2033910,3437979,5553544,8494641,8559934,12611249,12631369,12631367,12274213,12274210,12614986,8563031,8563028,11818851,8531332,8531334,12573940,12546700,8505953,8505952,12546698,17733290,17723621,17723620,254866879,8505112,12545930,17732507,14339579,9851374,9851373,14339576,18862816,13439754,9189274,6014974,3762321,3762320,6014973,6017417,3764295,3764296,2255374,2255373,3764306,6017436,9191892,8576805,5598928,5527873,3413871,3413869,3413861,3413851,3413852,5527844,8529764,8534345,8534349,5539666,3424902,3424901,5539664,5484656,5484657,8484005,8492483,12531425,12569897,8524146,8524145,8509255,5529457,3415396,2016095,1153296,1153295,1152988,646840,358928,254137979,358758,196475,195818,195816,357486,644092,1148127,2008029,2039698,3444908,3780540,3431958,2029512,1162116,1162114,1182003,2059735,3472379,5595550,8609742,8494380,8494381,5597495,5597493,8528090,5526496,3412795,3412794,3383627,1992733,1992734,3383635,5493428,5494557,3400470,2004835,2004832,3400464,3442223,5557704,8484232,8494416,5495599,254275769,1139614,639363,639360,1139655,1993511,1139217,639144,354891,194533,194534,354877,354843,354846,639046,1139043,1993211,3384345,5494189,254865813,5522512,5500117,5500118,267848363,2025284,1159178,650362,360729,197486,197485,360725,650352,1159160,1149121,1149120,2009611,3406792,2036070,2036072,3440653,3455980,3412232,2013849,1151841,646164,358564,358565,646167,1151847,646397,646398,1152304,2014601,1764214,1005076,656605,649579,649581,664336,1182727,2060905,3407431,2010131,1149441,644821,644824,1149449,1157981,2023496,3425017,2046167,2046169,3453159,3402666,2006521,1147145,1147146,1936129,2051852,3385894,3385895,3422450,3440494,2035938,1166255,1166256,2035944,2059103,3471670,5371197,3302039,3302037,5371190,8323637,12322732,8500231,8500232,12233286,12233285,11165832,7895580,7895578,11817480,16888703,17788302,23768045,17440105,12293581,8303093,8303094,12293585,12581527,11815813,7893887,5014649,3032853,254374213,2044816,2044815,3451432,5545491,3431200,2028904,2028905,3431204,3433057,3433059,5014595,5014596,5571392,8575580,7712542,7712541,5329080,254300467,1313962,749981,749982,1313965,2265079,3415144,3415143,3426750,3036929,1767890,1007444,567813,567814,1007449,1767906,2037243,2037242,3442088,3450098,3443802,3443800,5559063,5501598,3391163,2267192,1315236,1315234,2267203,2024439,1158615,1158614,2024436,3426078,2732708,1583508,1583506,2732663,4545771,254114598,15753150,21819508,29126362,254664242,59017867,71761884 Dl.O(d2) = 261429806,114970810,100917204,86935543,73325612,60581853,60581854,73325613,86935544,86935576,259452307,114970837,128873245,133457905,133457906,133457897,119592845,105360929,91141809,77225886,77225887,91141811,105360931,119592847,272365461,154860672,142225350,128873210,128873211,142225351,272028158,128873245,133457905,133457906,133457897,119592845,105360929,91141809,77225905,64082436,52236258,52236251,52236250,64082428,73325643,60581876,60581874,73325640,86935590,100917248,114970852,114970855,100917249,259636627,91141808,91141818,259636629,114970821,114970820,128873239,128873254,128873253,126474847,260265698,100917282,105360962,260849117,128873297,114970900,260668083,114970895,260668081,142225394,142225369,128873240,128873241,260910584,114970867,114970868,128873258,142225360,272028158,128873245,133457905,119592850,119592848,133457902,128873237,114970816,100917207,91141815,77225889,64082430,64082429,77225887,91141811,105360931,119592847,133457901,146705465,133457931,133457932,142225362,142225361,142225360,272028158,128873245,133457905,119592850,105360932,105360933,119592852,126474845,114970849,114970848,128873251,142225363,261429808,114970815,100917207,91141815,77225889,64082430,52236252,41900173,32961786,32961785,41900170,52236250,64082428,73325643,60581876,60581874,73325641,86935592,86935596,100917257,114970865,126474852,139846332,262172027,154860672,261475552,128873210,114970787,100917174,86935516,86935515,100917173,114970785,126474792,139846271,133457925,119592878,260861628,71121719,71121720,73325605,73325606,86935540,100917163,86935500,86935499,86935488,269984690,60581821,65158567,78441431,73325645,73325644,86935596,100917256,114970853,114970852,114970855,100917249,259636627,91141808,91141818,77225891,257767799,41900173,32961786,32961785,41900170,52236250,64082428,73325643,60581876,60581874,73325641,86935592,86935596,100917257,114970866,114970859,100917251,86935591,86935592,86935596,100917257,114970866,112605976,112605975,105360930,105360931,119592847,133457901,146705465,133457931,133457932,142225362,142225361,142225360,272028158,128873245,261789145,128873236,114970816,100917207,86935545,73325614,73325613,86935544,86935576,73325627,73325628,268761628,71121733,71121734,84686094,257234004,114970828,100917221,260668067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656226, s2 = 8542602, dlinesl.size( ) = 2 s1 = 11656226, s2 = 8542602, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11656226, Dl.E( ) = 20, 1.41e-05 seconds used appending s1 = 2846138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2846138, s2 = 11109979, int(edited[s2]) = 0 s1 = 2846138, s2 = 11109979, d1 = 17, d2 = 59 Dl.O(d1) = 85364705,71775034,59032582,47630419,37708154,29147869 Dl.O(d2) = 19845471,16392357,16392358,22575114,29937825,38501174,48406754,59791327,72526189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2846138, s2 = 11109979, dlinesl.size( ) = 2 s1 = 2846138, s2 = 11109979, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2846138, Dl.E( ) = 62, 2.22e-05 seconds used appending s1 = 8029917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8029917, s2 = 10343318, int(edited[s2]) = 0 s1 = 8029917, s2 = 10343318, d1 = 60, d2 = 40 Dl.O(d1) = 16922003,11842840,7914590,5031293,5031294,7914593,7472587,7472588,11256434,16193074,15078583,10400428,10400427,15078582,20992277,28173342,29703185,29690214,22337704,16190084,11738470,7837219,4974842,4974841,7837216,254074594,254086552,14548852,10925769,7227286,4554524,4554521,7227276,10925742,257481031,71778658,85368433,261137551,153205630,262684305,185268827 Dl.O(d2) = 257140417,268628927,1602528,911176,514011,514012,911177,1602531,254345831 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656506, s2 = 9349727, int(edited[s2]) = 0 s1 = 11656506, s2 = 9349727, d1 = 9, d2 = 1 Dl.O(d1) = 2492708,1439360,1439356,2492801,4170081,6634096,10102408,14688663,14850781,14861717,10219810,10219807,14861710,20732498,27861449,36271789,46061744,57339452,69988337,67666049,255545910,35103611,27018296,20127246,20127245,27018295,31146872,35103612,267907884,31053721,23570018,23570017,31053719,30803942,23375987,17106336,17106337,23375989,23857343,31351128,36782570,29857860,22493770,16320253,16320254,16317794,11352751,11352749,16306408,11348433,11021265,7296737,7296738,11021268,15898131,21997039,22476676,29843517,22490418,20303984,20303985,22170255,22170254,21019487,15096753,15096754,21019489,21615333,15586026,15586025,15155087,15155086,15585017,254129542,10453001,6890587,6890588,10453002,7222144,4550867,2735587,1585253,901421,508448,285105,157562,86591,86592,157570,285118,508471,901462,1585709,1585418,1585419,1585641,2736588,4552331,2738381,1586697,901975,508739,508740,901980,1586704,2738391,4554899,7227819,10926531,15774529,21844671,29153249,37713827,37713824,37713825,47636232,59038245,71780291,268471068,113318044,127177552,113318048,99314502,99314503,257735712,131843489,131843498,118017338,118017337,105438228,91215885,91215884,105438226,91215887,77295628,64146574,52294329,41953455,41953456,50508337,40473010,40473009,49436392,39505542,257036149,39505544,39505545,256490915,23464718,23464716,30898180,39505556,49436402,60837961,59255261,47858850,37939424,29373270,22042319,15939548,11060666,7333936,254762277,7339692,7339693,11069236,15950583,22054279,29384407,37949023,34294978,26418712,26418713,21449468,21449469,256327821,43190652,43190651,53702362,65759452,71027983,58312270,58312271,58312272,46945795,37066641,37066642,43910428,34637277,255728825,19832524,19832523,19832612,22139655,22139656,26645976,256201651,19832526,14207159,14207084,11124845,11124846,14206605,9766217,9766216,14206602,14207078,19832435,256724645,54653009,66910048,271146009,74819715,257687435,40494813,31799752,31799753,39009960,48933439,60331234 Dl.O(d2) = 257886607,74819715,74819714,257687437,40494824,31799758,256555901,31799754,39009944,39009945,48933418,60331218,60331224,60331223,60331233,48933446,48933433,48933432,57550536,46227913,36391689,36391688,46227911,257991183,66266182,66266184,259149145,67467830,67467831,71196359,58474992,47097201,37201248,257445879,41663991,32752723,25060709,18522100,13160444,8970491,5856106,3655528,3655523,5856035,5856032,8970265,8970263,13160139,13146411,13146410,18503892,22642014,22642015,18447584,18447585,24966458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656506, s2 = 9349727, dlinesl.size( ) = 2 s1 = 11656506, s2 = 9349727, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11656506, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 2523501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2523501, s2 = 6910875, int(edited[s2]) = 0 s1 = 2523501, s2 = 6910875, d1 = 13, d2 = 106 Dl.O(d1) = 71805760 Dl.O(d2) = 113406036,113406037,99831424,259998607,127718309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2523501, s2 = 6910875, dlinesl.size( ) = 30 s1 = 6907230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6907230, s2 = 1895632, int(edited[s2]) = 0 s1 = 6907230, s2 = 1895632, d1 = 130, d2 = 99 Dl.O(d1) = 259962098,85397638 Dl.O(d2) = 49032972,39103490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6907230, s2 = 1895632, dlinesl.size( ) = 2 s1 = 6907230, s2 = 1895632, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6907230, Dl.E( ) = 134, 5.32e-05 seconds used appending s1 = 6858450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8536771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658236, s2 = 14941586, int(edited[s2]) = 0 s1 = 11658236, s2 = 14941586, d1 = 1, d2 = 1 Dl.O(d1) = 153239255,140558038,127212430,113354259,99352596,85409414,71820942,59079826,256852622,37757569,47679794,59079827,258718779,85409416,99352598,113354261,127212433,261670517,272536385 Dl.O(d2) = 153239255,140558038,127212430,113354259,99352596,85409414,71820942,59079826,256852622,37757569,47679794,59079827,258718779,85409416,99352598,113354261,127212433,261670517,272536385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658236, s2 = 14941586, dlinesl.size( ) = 2 s1 = 11658236, s2 = 14941586, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658236, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14880198, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3148595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2849252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1681476, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2597011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2597011, s2 = 15193577, int(edited[s2]) = 0 s1 = 2597011, s2 = 15193577, d1 = 13, d2 = 31 Dl.O(d1) = 73272025 Dl.O(d2) = 5219647,5219646,8147453,5219604,3184130,1864972,1864973,3000147,1742304,989978,556839,556838,989974,1742289,3000115,4967233,7825936,11723481,255046307,10802292,15613042,15915572,12117699,12117700,255156153,16764267,11716765,7818057,7818056,11716764,11033508,254781562,5318927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2597011, s2 = 15193577, dlinesl.size( ) = 2 s1 = 2597011, s2 = 15193577, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2597011, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 2724903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2724903, s2 = 8449147, int(edited[s2]) = 0 s1 = 2724903, s2 = 8449147, d1 = 82, d2 = 41 Dl.O(d1) = 78371852,257206724,40055444,38204321,29637649,22285908,16142263,14172396,9743127,6408115,4020260,4020264,4020240,4020135,2408971,2408970,2408763,1393852,1393851,2408760,4019761,6407288,9744113,14173845,14173817,9744100,9744099,9744747,9747260,7440674,6412217,4022598,4022596,6412211,9752196,14186246,11214153,7440824,4701567,4701566,4767882,6407334,9744183,9749723,14182445,16629113,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,1394448,1394450,1393703,792629,792632,1393713,2408508,4019335,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394151,2409379,4020940,6409274,9747222,9747361,14178755,13702731,13702730,255690109,26600867,19794688,19794687,26600865,34587690,34580548,26593339,19788065,19788063,26593337,27212113,27212112,256395870,19789108,19122390,13653048,13653049,19122393,24907275,24907274,19797007,14180468,14180469,19797010,26603510,26600615,19794443,14178564,14178565,15927270,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760695,17760663,12567881,12567880,17760659,19785972,26591131,31234242,268677617,31233166,31233165,39909446,39202330,30605985,30605986,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576982,4576981,254754421,15820386,21899391,29213519,37775116,257486209,71834314,85421900 Dl.O(d2) = 113365855,127223917,113365815,260564497,259977576,258734192,59094497,47696229,257486211,71834293,71834294,85421875,99364453,99364451,99364452,271791919,127223935,113365854,99364483,259964293,261141859,261154906,127223926,261691171,127223941,127223942,272853270,140569264,127223956,261141863,127223943,113365859,99364488,85421911,71834320,71834321,259345707,85421861,85421887,85421886,99364476,113365845,113365860,99364488,99364487,99364459,99364460,85421909,85421910,259359332,258734194,71834333,85421923,261168855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2724903, s2 = 8449147, dlinesl.size( ) = 34 s1 = 14164106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6937113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6937113, s2 = 13417790, int(edited[s2]) = 0 s1 = 6937113, s2 = 13417790, d1 = 52, d2 = 39 Dl.O(d1) = 260326050,71842780,71842781,85428563,99369786,260564921,127227775 Dl.O(d2) = 2306504,2306509,1348262,769316,769314,1348259,2325886,3884238,6205720,9464435,13801505,19302751,25969279,33779484,255283754,42812115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6937113, s2 = 13417790, dlinesl.size( ) = 52 s1 = 3149490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3149490, s2 = 2800173, int(edited[s2]) = 0 s1 = 3149490, s2 = 2800173, d1 = 42, d2 = 65 Dl.O(d1) = 99369839,85428627 Dl.O(d2) = 100795384,114846418,260659613,114846391,128744764,142101784,142101768,128744744,114846372,100795351,100795352,114846375,114846417,260659623,114846404,100795375,86814472,73201917,73201918,86814474,100795376,114846406,128744778,142101797,154738558,142101789,128744771,128744770,142101792,151710313,142101804,128744785,128744784,142101802,139006316,139006317,142101807,142101763,128744738,114846364,100795348,86814461,73201909,60455277,60455278,73201911,259443291,114846381,260109690,112145321,100795368,86814468,86814467,100795363,100795339,86814455,86814454,100795338,114846352,260659623,114846404,100795375,86814472,73201917,73201918,86814474,100795376,114846406,128744778,142101797,154738558,142101789,128744771,128744769,142101756,261234803,114846426,100795389,86814482,73201923,60455283,49051711,49051709,60455282,73201919,86814476,100795378,114846409,128744786,128744779,128744780,261234797,128744782,260059997,86814475,86814476,271363433,114846425,100795389,86814482,86814481,100795386,271829929,128744798,128744779,114846407,114846371,100795351,100795352,114846375,114846417,100795383,260659621,142101773,142101772,154738552,154738566,142101811,128744790,128744789,142101809,142101760,128744737,114846364,100795348,86814461,73201909,60455277,60455278,73201911,259443291,114846381,260109690,112145321,100795368,86814468,86814467,100795364,98182865,84286943,70735029,58020244,58020245,70735030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3149490, s2 = 2800173, dlinesl.size( ) = 2 s1 = 3149490, s2 = 2800173, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3149490, Dl.E( ) = 66, 2.31e-05 seconds used appending s1 = 2850956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6729879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6729879, s2 = 13269518, int(edited[s2]) = 0 s1 = 6729879, s2 = 13269518, d1 = 16, d2 = 48 Dl.O(d1) = 257797342 Dl.O(d2) = 113545438,259359715,72000790,59264706,59264707,49415120,39485418,30879796,30879795,39485417,49415118,49739882,58784826,47396780,47396779,58784824,47396791,37488345,255540856,15630669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6729879, s2 = 13269518, dlinesl.size( ) = 2 s1 = 6729879, s2 = 13269518, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6729879, Dl.E( ) = 50, 1.98e-05 seconds used appending s1 = 2852853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2852892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8296129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8203822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8387882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8387882, s2 = 8335614, int(edited[s2]) = 0 s1 = 8387882, s2 = 8335614, d1 = 3, d2 = 5 Dl.O(d1) = 71911690 Dl.O(d2) = 113439768 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8329646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8361428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164118, s2 = 14164499, int(edited[s2]) = 0 s1 = 14164118, s2 = 14164499, d1 = 3, d2 = 5 Dl.O(d1) = 9158961,13397117,18805936,25392789,33129663,42079607,257783631,77433845,91356256,105579544,119819134,133696123,261433951,159338553,159338555,159338554,170686177,180826034,189722130,189722127,189722126,193668021,261962312,261426042,153379314,140697877,127342020,123530200,109338350,95083614,81024617,67554819,55210960,44360095,34982469,26902617,20019948,14338703,254146294,4054587,2426865,1403923,1403924,2426866,4054467,254095322,1402978,798406,798407,1402980,1427982,1427981,2470509,4129953,4052449,254071270,1402956,2425385,2959537,2959536,4909950,6467589,254095456,4053554,2426096,2426095,4053552,5866744,3662725,2191594,1272278,1272279,2191596,3662728,5866753,8986261,13182825,8986265,8986266,6426896,4032145,2416433,2416432,4032143,6426893,5866485,3662572,2191517,2191516,3662567,5866474,6405710,6405709,6405683,6405684,9713263,8986193,5866706,3662702,2191584,2191582,3662696,5866692,8985709,8985729,8990092,5869534,5869533,8985681,13182253,18552646,25101166,18558831,13187572,13187571,18558830,14163315,9902306,9902305,13187576,14163302,18574100,13199496,8998069,8998068,13199404,8997996,5874491,3668006,2195692,1275624,729720,729719,1275619,2195682,2195717,3668051,3668091,5874608,8997746,5875290,254201960,3668446,5874346,8997753,8999324,8999322,13200925,14163267,18554944,13184361,8987409,8987407,13184357,13187905,8990069,5869515,3664923,3664922,5869513,8990064,254152182,5875004,5875002,8998773,13200386,18575417,25127970,32832935,255643158,55629986,44731942,256234861,20268390,254984493,6575291,4118870,2463652,1424103,810207,459198,258999,258998,459192,810186,491037,275768 Dl.O(d2) = 152373,152378,151988,151985,274782,153034,153035,267743949,1545759,2669083,4443333,255036443,270288828,47125762,58504230,71225786,72068364,59333891,59333890,72068363,85655816,84371029,84371030,256153812,59485343,256670776,65057034,65057035,71294830,84869049,98797413,87747162,74142717,61362111,257054617,31175071,256507705,31278478,34217318,34217317,34217390,26343829,255811342,26343690,34217213,39857443,39857444,46524981,46524980,46741992,39379599,30777979,30777977,39379597,30777973,26319503,19593852,14039169,9652953,6347264,6347257,6347255,9652945,14039160,19593833,256160235,25905200,25905211,19244258,19244256,25905208,268031676,37171039,47062918,49433659,60835617,65176379,53190808,42741265,33711616,33711615,42741264,53190806,42741276,33711625,25905201,19244253,19244254,25905203,33711631,42741286,53190825,65176391,65176390,255603358,255603356,42741244,53190788,65176299,55443207,53190749,53190747,47062916,47062915,47062913,255286782,67786656,65176334,65176335,55443222,55443223,67786679,74794144,78460615,81256074,78460624,255693368,47062909,37171034,37171035,47062911,55443213,44593031,35212346,35212345,44593029,55443211,67786666,78654478,257835757,53348938,65351214,78654481,84545003,70981696,70981695,74794158,268691038,40470757,31776007,24263675,17885474,12668465,8603194,8603193,12668463,17885472,24263671,19817054,19817055,25128643,18576170,18576169,25128641,18926879,18926880,25539027,19815480,14194043,9757646,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,23975230,24133412,28954210,29442435,22108836,22108835,29442434,33217330,33217329,32838670,25133453,25133454,32838674,32837859,25132728,25132726,32837854,25557267,25557268,30039288,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463490,15171565,15171700,10463557,10463558,15171404,10463409,6897164,4329553,2590159,2590158,4329532,2590152,2590153,4329535,6897135,10463354,15171291,21117939,28328208,28328321,28328319,28834675,21563603,15541976,15541977,21563606,21529505,21529504,25808272,31640547,24133406,24133407,29317642,29317640,25655929,25655928,33424108,33559101,33960644,26122973,26122972,29732829,29732826,30290857,22892569,22892570,17769504,17769506,21671286,21671287,28950999,28951002,28841244,26131592,26131591,21991469,15893976,11018237,11018234,15893967,21991457,29318557,21989916,21989915,28328588,25716412,25690080,25690079,21499815,15492890,10713887,10713886,15492885,21499801,19461618,19461617,26161585,26161583,32992732,26161726,19461660,13927642,9559499,6272522,3927255,2351064,2351060,3927237,3927203,3927201,6272386,9559223,13927155,19460975,21992397,15894640,15894642,21011349,21011348,256289157,46579616,47425319,48767900,255115364,22867973,22867972,30264365,38848152,48767899,60162128,72898894,86495270,100453750,91164314,78654447,258173774,77245984,64099575,52251099,52251098,64099572,60162126,53348879,42884500,33841026,33841024,42884498,53348875,59129516,71867891,77245995,64099582,64099583,71867895,71867881,59129510,59129511,71867884,85452905,99393738,91164325,85452892,71867873,71867874,85452894,258506798,121353098,107056345,92716917,259135648,100554192,100554193,114586346,121353094,121353095,135203893,259764482,127252947,113394533,113394532,119622882,112458491,98468312,98468311,99393736,99393735,259002061,76930100,90806352,104984195,107056348,107056347,114586347,100554200,86592427,72994663,60258913,60258912,72994662,63822188,63822189,76930087,72994649,60258897,48865897,38946200,30360145,22958853,22958854,30360146,38946203,32776827,25079510,18536186,13170761,8978158,5861520,5861521,8978161,13170767,18536196,25079526,28526453,21304551,268069915,6987100,4390529,4390528,6987098,10591725,15335460,15335468,15335467,18697664,15335475,10591731,255028895,21304562,28526477,21304574,15335493,10591743,6987108,4390533,2630584,2630585,254497725,10591746,15335499,21304582,21304450,255824329,21304382,15612903,15612904,21645577,28526312,21304395,15335346,15335345,21304393,21304438,21304391,15335344,10591650,6987046,6987047,10591652,15335348,15335338,15335339,21304390,21304430,15335370,10591668,10591669,15335372,10591678,6987062,4390508,2630573,1518940,1518941,2630575,4390511,6987065,10591681,15335392,15335503,10591748,10591749,255381234,21304407,255809684,21304475,28526393,28526502,28526386,21304466,268069911,10591684,15335397,21304463,21304634,21304633,21304628,15335528,15335527,21304625,28526540,37024479,37024478,28526531,21304619,21304618,28526529,21304636,15335533,15335534,21304601,15335509,15335508,21304599,256313715,46902168,57659100,57659101,46902166,46902165,57659107,46314814,46314813,39882808,39882807,49903775,42451945,269090075,64775682,77970323,91895175,84546198,72468167,72468166,72468168,72468169,72495301,59761000,258147841,86092708,85100310,71529080,257403838,70396807,57702754,46353473,255651784,20864986,20864984,255651782,46353458,57702731,46479807,46479806,57835839,57702732,46353459,36495591,36495592,256628852,37858098,29289297,29289298,37858100,47781895,59181098,47781915,256913961,37858107,47781866,59181059,59181049,59181048,258636961,70537642,59181077,47781877,37858089,37858088,47781875,59181073,71919301,85504665,99446297,93384666,93384665,107806660,260952175,263001565,173217008,162117287,149905630,136764989,136764990,149905633,162117291,261958786,138761248,125431876,111628556,259014086,70321728,57631026,46286306,46286307,39738162,31059995,23576364,23576365,31059997,39738166,39738164,39738165,49757002,61236072,74016707,61680021,50196885,256533235,23991182,17646303,254860491,3351333,3351334,5451533,8442309,12472928,17646299,23991177,31488321,40173347,40173348,257663661,74462806,74462805,74462804,88075032,102060928,271365966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164118, s2 = 14164499, dlinesl.size( ) = 6 s1 = 6859407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2854612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7654711, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3015260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6520349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6699737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6699737, s2 = 11206426, int(edited[s2]) = 0 s1 = 6699737, s2 = 11206426, d1 = 62, d2 = 47 Dl.O(d1) = 37877020,257495617,71939846,85527687,99474059,113484435,127353769,140709585,153391257,165194647,175902886,185393185,193675380,185393172,185393171,193675378,193675373,263886357,200776355,193675375,185393168,262695172,165194642,175902875,263134403,193675386,193675382,193675383,193675388,193675373,263886357,200776355,193675375,185393178,273116839,153391254,262695559,185393176,193675378,193675373,263886357,200776355,193675375,185393168,262695172,153391252,153391253,165194643,263134401,175902882,175902883,185393180,193675390,200776358,206768203,211718363,215763858,219109755,221934550,265556559,224359845,221934528,219109737,215763849,211718354,206768198,200776356,200776357,206768200,211718356,215763852,219109746,221934538,224359859,224359888,221934568,219109770,274273146,219109767,221934567,224359884,226465754,228299845 Dl.O(d2) = 258737084,59343041,47951787,38038345,29475470,256383703,47951789,59343124,59343119,59343094,59343093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6699737, s2 = 11206426, dlinesl.size( ) = 12 s1 = 2186522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 415933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7692125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7692125, s2 = 10348700, int(edited[s2]) = 0 s1 = 7692125, s2 = 10348700, d1 = 10, d2 = 12 Dl.O(d1) = 272778110 Dl.O(d2) = 257454664,2768308,1604973,912770,912772,1604977,2768314,4601030,7295448,11019818,15896433,20321314,21994854,21994853,29324231,25803792,25803790,33600947,32381434,32381433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7692125, s2 = 10348700, dlinesl.size( ) = 14 s1 = 8450123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8450123, s2 = 2532106, int(edited[s2]) = 0 s1 = 8450123, s2 = 2532106, d1 = 27, d2 = 9 Dl.O(d1) = 113500687,127370694,113500699,259354942,71954651 Dl.O(d2) = 59216116,47817553,47817552,59216113 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10209857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13564077, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9300148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9300148, s2 = 3292297, int(edited[s2]) = 0 s1 = 9300148, s2 = 3292297, d1 = 89, d2 = 10 Dl.O(d1) = 238844145,266590324 Dl.O(d2) = 105413532 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9493003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345454, s2 = 15256742, int(edited[s2]) = 0 s1 = 10345454, s2 = 15256742, d1 = 7, d2 = 7 Dl.O(d1) = 264509354,183060667,177385235,166837048,272556222,129121755,272245411,142499093,261800385,166837047,166513854,155143402,142499096,142499094,154807956,261732760,114922304,100871704,270353277,257594213,39209456,255968043,23193316,30613257,268969703,258202161,259449483,114922312,128819588,114922311,270872345,270353279,100871711,271831851,143318035,143318036,155864837,260008214,271340060,271391422,136256427,122282856,258253744,257062168,65946826,257644850,257303018,84443689,92298335,268958580,53022044,257561790,73094520,73266586,269759843,255971466,27962615,23040183,16795349,16795348,23040181,26299498,26299497,34167482,39037411,255737558,34167480,28427922,21204272,21204271,28385189,28385190,36881754,256212061,268335937,34989777,44367945,256992592,47857835,47857836,59254425,71991219,85577968,99524602,113535612,271794550,259972688,127405499,113535615,99524604,259354480,258105546,95094040,95094036,95094037,109348013,95094039,81036224,67567624,256372784,256212603,256212601,44373864,44373871,257526376,47724082,37802906,29239333,21920706,15835988,10973971,7263617,4580773,4580770,7263611,10973960,15835974,21920680,29239295,37802849,47724054,39946066,39946065,43354298,53879144,46501508,36634376,34995700,28159722,28159723,36634383,37802877,29239310,21920690,21920689,29239309,37802875,31373877,23878323,17533266,16729566,11686990,11686989,16729561,22965668,23259924,16996915,11911216,11911215,16996909,20029945,20029957,14346838,9856970,6474790,4057490,2428614,2428613,4057487,6474783,267837125,1792494,1792493,3073125,5069416,7967557,11911209,16996897,23259905,26377371,19643770,14079577,9684198,6369867,3997005,3997004,6369864,9684196,14079575,19643765,26377366,268322907,19643762,19644124,14079819,9684342,9684343,14079821,19644126,26377877,34255211,43355111,53879822,257044023,257044021,61206840,73986137,87586640,79311323,65947107,53879839,53879840,270071763,79311326,73220830,60474495,60474494,73220829,86833288,86833299,100814460,114865821,114865822,128103044,114865815,100814451,86833297,86833298,100814458,114865810,126435502,112566402,271301780,84649523,98572743,260228186,98880826,112868063,126435507,112566408,98572745,98572744,271769347,112566405,112566404,98572747,84649525,71086815,58370315,58370314,71086812,259299487,112566395,116146068,116146043,102088366,88101460,74489316,61706530,61706529,74489314,88101458,102088363,116146037,116146038,271618228,116146047,102088371,102088372,116146049,116146051,259368350,88101464,258743452,55228676,55228675,67571705,81040518,72471018,72471019,258483798,260363876,149627907,161925205,161925208,261528018,122378123,107952007,259745290,88101448,74489300,61706514,50225082,50225083 Dl.O(d2) = 264509354,183060667,177385235,166837048,272556222,129121755,272245411,142499093,261800385,166837047,166513854,155143402,142499096,142499094,154807956,261732760,114922304,100871704,270353277,257594213,39209456,255968043,23193316,30613257,268969703,258202161,259449483,114922312,128819588,114922311,270872345,270353279,100871711,271831851,143318035,143318036,155864837,260008214,271340060,271391422,136256427,122282856,258253744,257062168,65946826,257644850,257303018,84443689,92298335,268958580,53022044,257561790,73094520,73266586,269759843,255971466,27962615,23040183,16795349,16795348,23040181,26299498,26299497,34167482,39037411,255737558,34167480,28427922,21204272,21204271,28385189,28385190,36881754,256212061,268335937,34989777,44367945,256992592,47857835,47857836,59254425,71991219,85577968,99524602,113535612,271794550,259972688,127405499,113535615,99524604,259354480,258105546,95094040,95094036,95094037,109348013,95094039,81036224,67567624,256372784,256212603,256212601,44373864,44373871,257526376,47724082,37802906,29239333,21920706,15835988,10973971,7263617,4580773,4580770,7263611,10973960,15835974,21920680,29239295,37802849,47724054,39946066,39946065,43354298,53879144,46501508,36634376,34995700,28159722,28159723,36634383,37802877,29239310,21920690,21920689,29239309,37802875,31373877,23878323,17533266,16729566,11686990,11686989,16729561,22965668,23259924,16996915,11911216,11911215,16996909,20029945,20029957,14346838,9856970,6474790,4057490,2428614,2428613,4057487,6474783,267837125,1792494,1792493,3073125,5069416,7967557,11911209,16996897,23259905,26377371,19643770,14079577,9684198,6369867,3997005,3997004,6369864,9684196,14079575,19643765,26377366,268322907,19643762,19644124,14079819,9684342,9684343,14079821,19644126,26377877,34255211,43355111,53879822,257044023,257044021,61206840,73986137,87586640,79311323,65947107,53879839,53879840,270071763,79311326,73220830,60474495,60474494,73220829,86833288,86833299,100814460,114865821,114865822,128103044,114865815,100814451,86833297,86833298,100814458,114865810,126435502,112566402,271301780,84649523,98572743,260228186,98880826,112868063,126435507,112566408,98572745,98572744,271769347,112566405,112566404,98572747,84649525,71086815,58370315,58370314,71086812,259299487,112566395,116146068,116146043,102088366,88101460,74489316,61706530,61706529,74489314,88101458,102088363,116146037,116146038,271618228,116146047,102088371,102088372,116146049,116146051,259368350,88101464,258743452,55228676,55228675,67571705,81040518,72471018,72471019,258483798,260363876,149627907,161925205,161925208,261528018,122378123,107952007,259745290,88101448,74489300,61706514,50225082,50225083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345454, s2 = 15256742, dlinesl.size( ) = 2 s1 = 10345454, s2 = 15256742, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10345454, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2191305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13618941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13618941, s2 = 11309696, int(edited[s2]) = 0 s1 = 13618941, s2 = 11309696, d1 = 31, d2 = 35 Dl.O(d1) = 127410515,113540177,259359199 Dl.O(d2) = 48858980,60251790,259431991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13618941, s2 = 11309696, dlinesl.size( ) = 20 s1 = 8336280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6700342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8171349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8171349, s2 = 11658299, int(edited[s2]) = 0 s1 = 8171349, s2 = 11658299, d1 = 16, d2 = 18 Dl.O(d1) = 38810415,38810416,46213482,48730680,48730694,48730695,60125451,71805168,59064411,47664293,37742389,31685480,24176847,24176846,31685478,40379276,37399114,28858082,28858081,37399111,47308445,50413920,61904459,71430796,58698489,47308467,47121578,47121579,47121212,37223518,37223519,47121214,37399037,37399038,37742396,43068884,34011127,26169349,19468489,268316455,24092916,17735138,12548298,12548297,255583081,31596378,40280530,47121588,37223809,35326207,27201858,20274761,14547031,10681939,10681940,254734214,7056287,7056288,10681949,12922539,18218991,24685699,32296845,34011165,43068905,34011151,26169360,26169361,34011154,43068908,37223849,31828796 Dl.O(d2) = 268958338,268082073,11073052,15610387,11076741,11076740,11081117,15965308,22064354,268137645,8967647,5854188,5854189,8967650,12712533,255313708,31848588,256198806,271049423,80317677,94373157,108660564,263013689,126471491,261635058,102242757,258656138,61821862,258905013,102242759,116338181,130178052,143509123,156047080,167654025,170474256,261955907,260255047,64105930,259011121,52257017,41918741,41918742,52257020,64105933,77252721,91171243,270390667,64105929,52257017,52257018,64105930,273167934,269493139,32978588,32978587,41918742,52257019,64105932,64105934,64105933,77252720,91171243,259638471,91171244,260255049,77252723,77252722,91171244,91171245,77252723,257769743,32978588,255649023,13291939,254641945,3710608,5934361,9074494,13291940,18684894,25255726,32978589,41918744,52257021,64105936,77252725,91171246,105393236,260850979,146757619,159131703,170474257,180612297,189517850,197213284,264619705,264128168,263433742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8171349, s2 = 11658299, dlinesl.size( ) = 12 s1 = 8297249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8297249, s2 = 6748289, int(edited[s2]) = 0 s1 = 8297249, s2 = 6748289, d1 = 0, d2 = 0 Dl.O(d1) = 98568917,90873655,76995330,63884773,63884772,76995328,72011661,72011660,85598550,98568919,270806560,71084009,258048270,37112288,37112287 Dl.O(d2) = 98568917,90873655,76995330,63884773,63884772,76995328,72011661,72011660,85598550,98568919,270806560,71084009,258048270,37112288,37112287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8297249, s2 = 6748289, dlinesl.size( ) = 2 s1 = 8297249, s2 = 6748289, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8297249, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6622152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2539805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2539805, s2 = 11469872, int(edited[s2]) = 0 s1 = 2539805, s2 = 11469872, d1 = 0, d2 = 22 Dl.O(d1) = 72083677 Dl.O(d2) = 205391883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2539805, s2 = 11469872, dlinesl.size( ) = 112 s1 = 2540007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8511108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347241, s2 = 11117378, int(edited[s2]) = 0 s1 = 10347241, s2 = 11117378, d1 = 28, d2 = 27 Dl.O(d1) = 228331998,226499563,224395999,221973802,219153225,215812655,211773683,206830986,273347730,185497123,176025603,165333600,153543218,259983718,258740320,85678238,72091162,59357226,59357224,47965984,38052734,29488941,22150440,22150441,29488943,38052738,47965988,59357231,72091165,85678241,99627559,113641388,127512977,140868254,262225157,176025606,185497127,193762420,200849743,206830990,211773688,211773687,215812659,219153229,221973806,224396003,226499566,228332001,228184462,226339338,224221080,221776589,265178843,215545175,211455755,206454073,206454072,206454075,200406462,193247636,193247637,184907449,184907448,193247651,200406478,200406466,200406465,206454079,264474683,206454074,206454076,200406463,200406464,200406469,263865107,193247646,264187039,263865111,193247649,263865109,200406476,200406475,200406471,200406470,193247643,184907444,184907445,193247645,193247638,184907442,184907441,193247637,184907449,175356619,164594847,152760128,152760127,164594845,263108415,175356615,164594844,164594845,263108415,184907443,193247641,263865107,263108417,164594846,152760128,270830444 Dl.O(d2) = 58337924,71053910,268644166,98542876,268953218,84618246,84618240,84618239,84618248,84618247,256422516,84618235,84618236,84618241,71053917,71053916,256422516,98542869,84618243,71053914,255104124,46969989,58337924,71053910,268644166,98542876,268953218,84618246,84618240,84618239,84618248,268230628,46969991,46969990,255483920,84618244,98542875,112537335,98542876,98542875,98542872,98542873,112537336,126407474,139781981,152501098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347241, s2 = 11117378, dlinesl.size( ) = 2 s1 = 10347241, s2 = 11117378, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10347241, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 2863357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2863920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2863920, s2 = 13211343, int(edited[s2]) = 0 s1 = 2863920, s2 = 13211343, d1 = 22, d2 = 41 Dl.O(d1) = 85685113 Dl.O(d2) = 14591691,20332137,19853536,14223634,9778191,9778189,14223631,19853527,256726625,35119037,27032235,20139492,14445525,9937757,9937758,14445535,20139507,20139518,20139520,27032260,30010094,22639010,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542359,28008638,22638485,16449783,11461436,11461439,16449796,22638497,30009150,22638271,22638270,18089436,12824520,8719141,5675438,3529940,3529941,5675439,8719143,12824529,18089450,24520899,32095989,36544643,32928829,29824248,22456983,22456984,29824250,38396625,44588325,44588323,55437886 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8451279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054691, s2 = 10344042, int(edited[s2]) = 0 s1 = 15054691, s2 = 10344042, d1 = 10, d2 = 10 Dl.O(d1) = 258876704,74786006,268678630,40462070,40462071,43972849,34697616,34697613,29796414,22430089,22430087,22430094,16262896,16262897,22429252,16262163,254778821,4745101,7506657,11306486,16262166,256409165,257568619,256997498,38078450,47991195,59381219,72113830,85699892,99648790,258071572,55349999,44503757,35126153,35126152,44503756,47321030,37412647,37412646,46212317,36381884,36381885,257380423 Dl.O(d2) = 258876704,74786006,268678630,40462070,40462071,43972849,34697616,34697613,29796414,22430089,22430087,22430094,16262896,16262897,22429252,16262163,254778821,4745101,7506657,11306486,16262166,256409165,257568619,256997498,38078450,47991195,59381219,72113830,85699892,99648790,258071572,55349999,44503757,35126153,35126152,44503756,47321030,37412647,37412646,46212317,36381884,36381885,257380423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054691, s2 = 10344042, dlinesl.size( ) = 2 s1 = 15054691, s2 = 10344042, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15054691, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 6701364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6861010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7670428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7670428, s2 = 8243813, int(edited[s2]) = 0 s1 = 7670428, s2 = 8243813, d1 = 46, d2 = 81 Dl.O(d1) = 271861412 Dl.O(d2) = 85591456,99538525,113550060,127420995,115771669,259904548,258658398,72004510,256845282,47872576,43913297,34639906,26648536,26648535,30284330,30284331,38870178,48792499,47872579,256845284,258033772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7670428, s2 = 8243813, dlinesl.size( ) = 40 s1 = 13976047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2865740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2865740, s2 = 11129412, int(edited[s2]) = 0 s1 = 2865740, s2 = 11129412, d1 = 3, d2 = 5 Dl.O(d1) = 85717750 Dl.O(d2) = 5784149,3605145,3605149,5784162,8871686,11731032,16778331,21742347,17473309,12319086,8320980,5369284,5369282,8320973,11301060,11301063,12425945,12425944,12925487,8792894,254430261,1226034,2125322,3566003,5727429,254893099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2865740, s2 = 11129412, dlinesl.size( ) = 2 s1 = 2865740, s2 = 11129412, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2865740, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 6861169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14623240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684014, s2 = 15286684, int(edited[s2]) = 0 s1 = 9684014, s2 = 15286684, d1 = 6, d2 = 0 Dl.O(d1) = 268792058,49363563,255989842,49760614,39741894,39741895,49760617,55346757,44500447,44500448,47397754,58785834,60484095,49080584,49080583,49080586,39150501,30552366,23134041,255133433,11804090,16873537,11804092,7884138,5007100,3027437,3027436,5007098,7884134,11804087,16873532,23134038,23134039,23134040,30552363,39150499,49080581,49080582,60484093,73231053,86844209,100825608,114876486,128772621,142126523,154759682,166465873,177048234,186405036,194560805,264177206,193186808,184839942,175280791,175280790,175280793,164509232,152664165,139965277,139965278,126610903,271301680,84837615,84837614,98764886,84837620 Dl.O(d2) = 72170913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684014, s2 = 15286684, dlinesl.size( ) = 2 s1 = 9684014, s2 = 15286684, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9684014, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 7197036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7197036, s2 = 11170216, int(edited[s2]) = 0 s1 = 7197036, s2 = 11170216, d1 = 103, d2 = 84 Dl.O(d1) = 263881218,272849488,127606736,113738165,258720180 Dl.O(d2) = 5476369,267912913,12506666,12506664,8472216,5476369,267912913,12506665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7197036, s2 = 11170216, dlinesl.size( ) = 48 s1 = 6543200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13555593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2867585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2867585, s2 = 8131919, int(edited[s2]) = 0 s1 = 2867585, s2 = 8131919, d1 = 21, d2 = 30 Dl.O(d1) = 85779712 Dl.O(d2) = 269204676,63406338,51663022,41421172,32561537,24910092,24910093,32561540,41421180,40863386,40863385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2867585, s2 = 8131919, dlinesl.size( ) = 2 s1 = 2867585, s2 = 8131919, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2867585, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 6462363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6462363, s2 = 8070919, int(edited[s2]) = 0 s1 = 6462363, s2 = 8070919, d1 = 27, d2 = 13 Dl.O(d1) = 7417111,11178722,16094432,254769657,4687203 Dl.O(d2) = 7188886,7188887,10872943,15706354,21762097,29057184,37606063,47510555,58890130,71609914,60257951,60257950,68105638,55708598,55708599,67575589,67575588,81043663,95100958,81043385,81043384,95100282,109354796,109832047,109832046,259934446,109743200,109743203,99740238,85786438,72192387,59454479,59454480,72192394,85786443,93251837,86591517,72993717,60257944,48864903,38945186,30359030,22957452,22957454,30359035,38945196,48864914,60257954,72192350,71609868,58890080,47510507,37606026,37606027,47510509,47510514,58890082,60778485,49377098,49377097,60778481,59454449,59454448,60778486,73526634,87145624,81498682,68015541,68015540,81498679,68015544,68015545,74672228,74672229,88297740,99740224,85786414,72192357,59454444,59454445,72192358,85786416,99740229,113754635,100553300,86591514,72993713,60257938,48864897,48864898,48864910,38945191,38945190,48864906,256997540,40355507,257093313,46798381,36920575,36920576,46798385,46798396,47510644,37606146,29057257,29057256,256001734,30844488,23414553,17138986,15928564,15928565,12585827,8538191,5536137,3421536,2020786,2020787,3421541,5536152,8538212,12585868,17783162,24150272,31660830,30844451,30844449,31660718,40355731,40519363,34126219,28422512,21199637,15234909,10509687,10509686,13992175,19541138,26260429,34126202,29057269,21762145,15706385,10872963,10872965,15706388,21762154,29057279,31850544,24330700,24330701,29575536,22228226,22228225,29575530,35131667,27046126,20153637,20153636,27046124,29137413,256102306,22228262,16094449,16094448,16094470,22228242,16094434,16094435,255895745,256693781,33994601,26153001,26153000,256127702,38142271,29575531,22228226,22228225,29575530,35131667,35131665,39431774,255641200,60764621,73513747,87132463 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8584742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8243373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8335870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2868665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9410388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3166326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7138211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7138211, s2 = 11477144, int(edited[s2]) = 0 s1 = 7138211, s2 = 11477144, d1 = 54, d2 = 83 Dl.O(d1) = 263100382 Dl.O(d2) = 227409061,274489241,223186359,220573342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7138211, s2 = 11477144, dlinesl.size( ) = 48 s1 = 10197396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10197396, s2 = 6751880, int(edited[s2]) = 0 s1 = 10197396, s2 = 6751880, d1 = 35, d2 = 20 Dl.O(d1) = 265266772,89401333,89401332,103495389,260078139,101059999,260677001,142435978,144612147,144612146,157009408,168455500,261811460,177515747,186808379,187859944,191417029,182765506,182765505,191417028,186808407,177515782,263180734,272872984,142755575,129436418,115558605,115558606,125472050,111670628,97751799,97751800,109772137,259416954,260096304,270374918,95572009,81541599,68054807,55657998,269651651,81541602,68054799,257328953,27199764,255340419,13429487,255031160,256324925,257444863,259916437,65364695,78669525,259010086,108684849,94397764,80343439,74494670,74494669,76938062,76938061,90814000,87085609,73467815,60719647,49317594,49317596,60719650,49317608,39389762,30787421,23362025,17093264,12006420,12006421,17093267,23362028,30787425,39389769,49317618,48064110,48064111,257811650,54589708,256147556,26587028,19782740,19782739,26587026,34573877,256664080,50232753,40212119,258275447 Dl.O(d2) = 258082201 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6834067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7049177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7049177, s2 = 8463794, int(edited[s2]) = 0 s1 = 7049177, s2 = 8463794, d1 = 8, d2 = 8 Dl.O(d1) = 261831888,99780387,99780388,99780363,99780364,99780385,85827079,72234663,72234662,85827076,99780382,113794380,99780422,99780424,113794347,99780412,88362498,88362496,85827042,72234638,72234637,85827041,99780345,85827077,72234663,72234662,85827076,99780382,113794380,99780422,99780424,113794347,99780412,88362498,88362497,102359232,113794387,99780393,85827086,72234668,258751373,99780399,113794388,113794350,99780356,99780354,113794349,99780366,99780367,113794363,127662420,259994369,85827033,258128093,48111025,38199769,38199770,48111026,59499170,72234640,85827047,99780351,113794343,127662424,260996574,260996576,127662438,127662439,141010452,130289636,116452397,116452398,130289634 Dl.O(d2) = 261831888,99780387,99780388,99780363,99780364,99780385,85827079,72234663,72234662,85827076,99780382,113794380,99780422,99780424,113794347,99780412,88362498,88362496,85827042,72234638,72234637,85827041,99780345,85827077,72234663,72234662,85827076,99780382,113794380,99780422,99780424,113794347,99780412,88362498,88362497,102359232,113794387,99780393,85827086,72234668,258751373,99780399,113794388,113794350,99780356,99780354,113794349,99780366,99780367,113794363,127662420,259994369,85827033,258128093,48111025,38199769,38199770,48111026,59499170,72234640,85827047,99780351,113794343,127662424,260996574,260996576,127662438,127662439,141010452,130289636,116452397,116452398,130289634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7049177, s2 = 8463794, dlinesl.size( ) = 2 s1 = 7049177, s2 = 8463794, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7049177, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7072439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7072439, s2 = 14296056, int(edited[s2]) = 0 s1 = 7072439, s2 = 14296056, d1 = 12, d2 = 15 Dl.O(d1) = 262184964 Dl.O(d2) = 256938622,47258930,256396466,28810845,21543040,15526320,15526321,21543044,28810847,37349425,28934327,255384032,23143100,30560091,38695909,40908894,32131236,32131235,39157240,41442589,32576368,30629946,23207080,23207078,21108376,15162700,10456710,10456711,15162703,16185432,11250666,11250668,16185434,22331998,29581290,30119238,268635218,24919769,22737576,22737564,16530614,16530615,22737566,24908386,255084148,16530617,11520908,8653911,8653912,12735090,14526312,14526311,16530496,11520796,7663612,7663611,11520792,16530486,22737416,18411428,13077298,13077297,16530504,22737435,22734317,16528378,16528377,22734314,30115122,24852469,24632451,18177922,17520085,17520086,18403890,13072211,8907817,5812995,3646211,3646209,5843107,5845662,5845663,8955916,12873962,17970262,12735019,8653853,8653851,12735013,16530481,16530480,16530474,16530475,16530627,11520918,11520811,7663620,4848716,4848677,4848679,2921752,2921751,4848756,7663700,8911097,8911096,13077237,18411351,13077323,8911156,5815095,3627376,2166369,1253782,1253780,2166362,3627367,5815082,7663687,7663686,8875238,8875239,8754979,8754977,12735101,8653918,8653917,8963453,13150833,18489221,18154570,12873753,8754986,5824066,5628868,5628869,5850711,5850712,8859529,13012601,13151459,13151458,18331284,18331285,16530661,11520948,7663718,7663719,11520951,12874012,12874008,12874010,18154881,22894672,22894744,255337680,16666942,16665012,11632937,11632936,16666939,22897198,30293778,30293777,255948071,22896992,256387832,7749728,7749729,254801585,4907530,4907532,7748933,11631593,16665017,22894835,30293106,22894683,16664874,16664873,16665736,22894920,16665103,11631645,7748965,7748966,11631649,11632300,16666056,22894881,22897066,22894934,22894935,22896057,22895323,16665365,11631852,7749082,4907604,4907605,4907784,2958155,1715238,974583,548639,307088,307087,548632,974574,1715223,2958118,4907630,2958066,2958067,4907636,7749133,7748889,4907510,4907507,7748928,11631587,16665008,22894827,22894849,22895981,22895982,30293542,22895118,22895117,22895877,22895880,22895874,22895875,255948013,22896455,30295042,38879820,38879311,30293408,22895004,22895005,22895833,16665789,16665790,16665233,11631738,7749027,7749026,11631686,7749165,4907660,2958086,1715207,1715206,2958082,4907657,7749161,268095225,11631902,16665454,22894857,22894858,30293258,38879186,38879167,30294425,22895884,16665850,11632175,7749299,7749298,11632171,16665847,22895472,16666094,16666093,22896141,30293327,30293328,22895437,16665448,11631897,11631896,16665443,16666021,16665183,16665181,22895042,22895059,16665198,11631704,7749003,4907559,2958022,2958023,4907566,7748979,7749151,11631937,11631955,11631786,7749046,4907585,2958042,2958044,4907592,254801597,15468868,15468867,21471134,28728389,268620403,28980372,37524114,38879269,38879268,38879340,38879341,48801587,60198444,64144124,52291948,41951153,41951155,52291950,256950422,30294388,22895838,16665792,16665791,22895836,23813298,17479203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7072439, s2 = 14296056, dlinesl.size( ) = 2 s1 = 7072439, s2 = 14296056, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7072439, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 13581067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13581067, s2 = 9705322, int(edited[s2]) = 0 s1 = 13581067, s2 = 9705322, d1 = 104, d2 = 88 Dl.O(d1) = 146904081,133915604,120072173,105859606,105859605,258650292,100886543,86906440,73296263,60553229,49153952,49153951,60553228,257415506,86906422,85831732,72239716,72239715,85831731,256836188,73296258,73296259,256297496,60553219,73296250,86906425,100886556,100886569,114938352,128837693,142194370,154829392 Dl.O(d2) = 161450825,161450826,160599682,148327756,148327755,135155243,121305495,107013189,107013191,259596082,107013188,98176137,84280025,84280024,98176136,260493461,139327907,152035151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13581067, s2 = 9705322, dlinesl.size( ) = 2 s1 = 13581067, s2 = 9705322, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13581067, Dl.E( ) = 112, 5.7e-05 seconds used appending s1 = 2870778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6894531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6894531, s2 = 7982669, int(edited[s2]) = 0 s1 = 6894531, s2 = 7982669, d1 = 67, d2 = 40 Dl.O(d1) = 259786043,118030004,260465498 Dl.O(d2) = 11865325,16952916,23226245,254820584,30648069,30648068,30726330,30648183,254176778,16952931,16952930,23226269,254176776,16952970,254566010,30648129,39243826,39462485,30857670,23426177,23426179,30857677,39025799,37058824,28558060,21332268,15359551,11937248,11937246,11958867,11960735,17021869,17047189,11959158,11959157,17047184,12052051,8102903,5191709,3167991,3167990,5191705,4429213,4429215,7039010,10659108,15419499,14514467,9987469,9987471,14514475,20226797,16953023,16953021,23226378,30648181,37220875,37220874,254820578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6894531, s2 = 7982669, dlinesl.size( ) = 12 s1 = 8283012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2550531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2873104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6758817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9459290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9459290, s2 = 2874317, int(edited[s2]) = 0 s1 = 9459290, s2 = 2874317, d1 = 0, d2 = 0 Dl.O(d1) = 32489740,32489741,38358023,29786172,29785626,22421467,16256181,267782278,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,8871968,12319436,11264095,7503432,7503435,11301773,11730726,8321142,8321141,11264012,11730840,16778004,16255056,16255055,22420532,18351724,18351725,21742327,29033832,37581177,29786298,29786299,30424446,23019546,16779004,11731498,7832199,7832201,11731502,16779012,16204365,16204363,22355935,29710959,29710418,29710417,30424254,32642452,28993154,21708797,15666928,12319001,12319000,17473199,22355797,16204249,16204250,17473731,22421123,255911519,255531938,12318811,8320800,267844245,3300819,5369186,8320804,255092823,16254710,17472331,22420984,20975137,17473875,17473874,16255607,255471743,22354883,16203424,11263897,7477988,4726087,2847556,1652186,939723,529817,529814,939712,1652158,2847502,4725989,7477744,7477746,11264066,16203672,18351491,13028484,13028486,16253430,16253431,16779112,23019666,22355245,22355246,17472932,17472931,12425902,8398343,5419503,5419502,8398341,12425898,16778407,16778408,17472598,12318572,12318574,17472602,23019306,16778778,11731334,7832099,7832098,11731332,16778773,16203133,11263678,7477520,4725833,4725834,7477523,255089549,22354572,29709885,22421033,22421034,29786024,31292222,255145742,23018445,16778047,11730858,8871655,5784149,3605145,3605149,5784162,8871686,11731032,16778331,21742347,17473309,12319086,8320980,5369284,5369282,8320973,11301060,7502975,4742706,2858238,1658835,1658839,2858321,4742858,7503260,255092925,22420898,29785942,38357913,48268476,257053194,42633352,46693283,46693284,53081611,53081438,53081429,42633303,42633302,53081428,65064295,65064387,53329437,53329436,65327185,71287381,58555313,47166362,47166363,48172351,48172350,53081496,65064269,65064270,62199317,50681150,50681151,62199319,73231005,60483992,60483991,53081396,42633272,33607946,25809800,25809799,29710846,22355771,255906473,257524947,257524949,72306393,85899127,99853840,113871506,122969271,108704015,94417147,80363670,66938328,54682048,43939446,34665327,32811818,32811821,25304763,18729366,13333162,9110076,9110079,13333166,18729371,25304771,33031296,257185695,64166547,259016785,105455306,119693196,133567512,146825718,159200199,170540556 Dl.O(d2) = 32489740,32489741,38358023,29786172,29785626,22421467,16256181,267782278,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,8871968,12319436,11264095,7503432,7503435,11301773,11730726,8321142,8321141,11264012,11730840,16778004,16255056,16255055,22420532,18351724,18351725,21742327,29033832,37581177,29786298,29786299,30424446,23019546,16779004,11731498,7832199,7832201,11731502,16779012,16204365,16204363,22355935,29710959,29710418,29710417,30424254,32642452,28993154,21708797,15666928,12319001,12319000,17473199,22355797,16204249,16204250,17473731,22421123,255911519,255531938,12318811,8320800,267844245,3300819,5369186,8320804,255092823,16254710,17472331,22420984,20975137,17473875,17473874,16255607,255471743,22354883,16203424,11263897,7477988,4726087,2847556,1652186,939723,529817,529814,939712,1652158,2847502,4725989,7477744,7477746,11264066,16203672,18351491,13028484,13028486,16253430,16253431,16779112,23019666,22355245,22355246,17472932,17472931,12425902,8398343,5419503,5419502,8398341,12425898,16778407,16778408,17472598,12318572,12318574,17472602,23019306,16778778,11731334,7832099,7832098,11731332,16778773,16203133,11263678,7477520,4725833,4725834,7477523,255089549,22354572,29709885,22421033,22421034,29786024,31292222,255145742,23018445,16778047,11730858,8871655,5784149,3605145,3605149,5784162,8871686,11731032,16778331,21742347,17473309,12319086,8320980,5369284,5369282,8320973,11301060,7502975,4742706,2858238,1658835,1658839,2858321,4742858,7503260,255092925,22420898,29785942,38357913,48268476,257053194,42633352,46693283,46693284,53081611,53081438,53081429,42633303,42633302,53081428,65064295,65064387,53329437,53329436,65327185,71287381,58555313,47166362,47166363,48172351,48172350,53081496,65064269,65064270,62199317,50681150,50681151,62199319,73231005,60483992,60483991,53081396,42633272,33607946,25809800,25809799,29710846,22355771,255906473,257524947,257524949,72306393,85899127,99853840,113871506,122969271,108704015,94417147,80363670,66938328,54682048,43939446,34665327,32811818,32811821,25304763,18729366,13333162,9110076,9110079,13333166,18729371,25304771,33031296,257185695,64166547,259016785,105455306,119693196,133567512,146825718,159200199,170540556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9459290, s2 = 2874317, dlinesl.size( ) = 2 s1 = 9459290, s2 = 2874317, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9459290, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 9674819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674819, s2 = 13258258, int(edited[s2]) = 0 s1 = 9674819, s2 = 13258258, d1 = 74, d2 = 81 Dl.O(d1) = 256306923,255817405,15246806,15246805,21214690,15246800,15246761,15246762,21214643,28322450,30236499,33075578,255388652,64208921,255818394,34671207,31758422,31758423,40453121,50489198,54632617,43889628,43889627,38005162,29442367,25539253,25539254,256650833,50504922,40469148,40469149,256235994,40155616,33477785,28954432,25704371,25704374,21673759,21673757,23126765,24011576,18580145,18580146,15353302,10606231,6997904,6997903,10606228,15353292,21325360,256315849,46927960,53000951,43883328,43883329,254541212,21118487,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947824,21947796,21947797,21763075,21763072,29058524,28794570,21529498,15516383,15516384,21529500,255357770,26159955,34001686,43059977,36824579,36824578,37886156,30268904,22871961,22871962,30268909,31510160,40196039,42607854,33583764,25787955,25787954,26156488,26156487,254659044,13744156,254303422,19519860,26236746,25704857,19078258,13620527,13620526,19078256,25704854,20934090,20091695,14404976,14404977,20091697,20934102,15026016,15025990,10353827,10353828,10353833,6818288,6818287,10353830,15025994,20934068,28110757,29556999,22211933,22150188,22150187,22150198,22150197,29488665,38052421,47808259,42294015,42294014,255712890 Dl.O(d2) = 41783014,32862700,32862701,41783016,52096254,63914920,73311629,60568674,49169705,39244679,39244678,33503769,25725658,19094339,13632338,9334709,9334708,254883533,5649639,254622339,12773104,18021470,18021466,18021467,19094341,13632343,9334712,9334710,13632340,10518933,10518932,255212105,3512352,2088337,254141233,206423,112855,112858,206434,117523,64377,35475,35477,64391,64583,64587,63109,63110,115438,268096718,1216323,2111012,3545201,5697760,8751356,12868360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674819, s2 = 13258258, dlinesl.size( ) = 12 s1 = 8404517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2875114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10170960, s2 = 11657923, int(edited[s2]) = 0 s1 = 10170960, s2 = 11657923, d1 = 22, d2 = 21 Dl.O(d1) = 77961357,91886534,106082089,105745393,91521708,258097918,257487972,42189213 Dl.O(d2) = 59587530,59587531,59587536,269070110,29724632,22368155,22368156,29724636,38291616,48201056,59587531,72321947,270110376,72321953,85915134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8558439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9147445, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8270078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9376007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9376007, s2 = 10226696, int(edited[s2]) = 0 s1 = 9376007, s2 = 10226696, d1 = 10, d2 = 10 Dl.O(d1) = 141198950,127837884,127837883,127837892,261794648,163891439,152024926,259375376,112128388,114933322,100881798,86901953,86901952,268942768,114933324,114933325,128832620,142189757,257517438,100881804,86901957,73291779,73291778,86901955,77224162,64081064,60548558,49149167,49149168,60548556,73291769,255898674,42365461,33376646,33376645,42365460,52764956,48216470,38306723,38306724,257527191,72338421,259384913,113906310,113906313,127781036,127406213,127406214,259623132,165241407,161677664,161677663,153441817,261515903,122164358,122164545,107754502,107754256,107754257,93326552,258473901,53773693,43257812,43257813,53773696,53773691,43257810,43257808,53773686,65833763,79195681,93326537,107754257,93326552,258473901,65833770,65834029,53773817,53773818,65834030,79196125,79195719,259103587,107754290,107754273,107754272,122164358,122164545,107754502,107754256,107754257,93326552,258473901,53773693,43257812,43257813,53773696,53773691,43257810,43257808,53773686,65833762,65833915,53773757,53773756,65833906,79195702,79195699,93326549,107754268,122164346,107754251,107754252,107754368,107754501,122164543,136131575,136131779,136131425,272433461,260352617,107754265,122164355,107754267,93326548,93326546,93326535,79195680,79195681,93326537 Dl.O(d2) = 141198950,127837884,127837883,127837892,261794648,163891439,152024926,259375376,112128388,114933322,100881798,86901953,86901952,268942768,114933324,114933325,128832620,142189757,257517438,100881804,86901957,73291779,73291778,86901955,77224162,64081064,60548558,49149167,49149168,60548556,73291769,255898674,42365461,33376646,33376645,42365460,52764956,48216470,38306723,38306724,257527191,72338421,259384913,113906310,113906313,127781036,127406213,127406214,259623132,165241407,161677664,161677663,153441817,261515903,122164358,122164545,107754502,107754256,107754257,93326552,258473901,53773693,43257812,43257813,53773696,53773691,43257810,43257808,53773686,65833763,79195681,93326537,107754257,93326552,258473901,65833770,65834029,53773817,53773818,65834030,79196125,79195719,259103587,107754290,107754273,107754272,122164358,122164545,107754502,107754256,107754257,93326552,258473901,53773693,43257812,43257813,53773696,53773691,43257810,43257808,53773686,65833762,65833915,53773757,53773756,65833906,79195702,79195699,93326549,107754268,122164346,107754251,107754252,107754368,107754501,122164543,136131575,136131779,136131425,272433461,260352617,107754265,122164355,107754267,93326548,93326546,93326535,79195680,79195681,93326537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9376007, s2 = 10226696, dlinesl.size( ) = 2 s1 = 9376007, s2 = 10226696, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9376007, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 1168118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3097568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6920783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6863099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6863099, s2 = 7645828, int(edited[s2]) = 0 s1 = 6863099, s2 = 7645828, d1 = 54, d2 = 78 Dl.O(d1) = 259390323 Dl.O(d2) = 270819937,113059913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6863099, s2 = 7645828, dlinesl.size( ) = 2 s1 = 6863099, s2 = 7645828, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6863099, Dl.E( ) = 94, 2.48e-05 seconds used appending s1 = 9214176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9214176, s2 = 9132263, int(edited[s2]) = 0 s1 = 9214176, s2 = 9132263, d1 = 0, d2 = 0 Dl.O(d1) = 141227651,127868587,113990316,99966836,86007531,72410921,59675535,258142005,86007530,259264289,46484908,36618441,28144569,20966281,20843606,254998497,6759530,6759531,10284052,14949894,20850208,28016192,36476945,46332508,57679274,70370976,83895377,269761259,46332503,36476942,28016189,28016190,268493288,11756166,11756165,16811894,23059474,16811897,16811898,23059479,256458563,48981947,39059270,39059271,258190951,86724058,100699159,114747833,128648024,261230507,154654303,166370870,176139274,165459590,153680297,141014023,141014024,153680298,165459593,176139279,185601314,193858011,200936344,206908012,200936339,193858008,185601312,176139278,176139277,185601310,193858007,193857999,185601301,176139266,165459584,153680291,153680290,141014018,127665655,127665654,127665653,127665659,113797450,113797449,127665656,141014020,153680295,141014022,141014021,262712757,160658160,148397289,135231557,135231558,135231564,121381489,107083979,92743371,78679817,65374854,53370686,53370685,65374853,53370689,42904619,42904618,42904621,42904620,53370691,65374856,78679814,78679813,257658676,46689781,58062755,258649861,98246356,260497969,139451192,152175142,164052928,160335159,148091552,134969234,121160387,121160386,126407091,112536914,98542387,84617692,259298187,106893378,92574258,92574259 Dl.O(d2) = 141227651,127868587,113990316,99966836,86007531,72410921,59675535,258142005,86007530,259264289,46484908,36618441,28144569,20966281,20843606,254998497,6759530,6759531,10284052,14949894,20850208,28016192,36476945,46332508,57679274,70370976,83895377,269761259,46332503,36476942,28016189,28016190,268493288,11756166,11756165,16811894,23059474,16811897,16811898,23059479,256458563,48981947,39059270,39059271,258190951,86724058,100699159,114747833,128648024,261230507,154654303,166370870,176139274,165459590,153680297,141014023,141014024,153680298,165459593,176139279,185601314,193858011,200936344,206908012,200936339,193858008,185601312,176139278,176139277,185601310,193858007,193857999,185601301,176139266,165459584,153680291,153680290,141014018,127665655,127665654,127665653,127665659,113797450,113797449,127665656,141014020,153680295,141014022,141014021,262712757,160658160,148397289,135231557,135231558,135231564,121381489,107083979,92743371,78679817,65374854,53370686,53370685,65374853,53370689,42904619,42904618,42904621,42904620,53370691,65374856,78679814,78679813,257658676,46689781,58062755,258649861,98246356,260497969,139451192,152175142,164052928,160335159,148091552,134969234,121160387,121160386,126407091,112536914,98542387,84617692,259298187,106893378,92574258,92574259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9214176, s2 = 9132263, dlinesl.size( ) = 2 s1 = 9214176, s2 = 9132263, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9214176, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6703971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10167721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2215624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6912016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7854948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8157689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8541303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14599788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14599788, s2 = 6958579, int(edited[s2]) = 0 s1 = 14599788, s2 = 6958579, d1 = 6, d2 = 6 Dl.O(d1) = 256960054,80397657,269776574,77985710,258663662,260617039 Dl.O(d2) = 256960054,80397657,269776574,77985710,258663662,260617039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14599788, s2 = 6958579, dlinesl.size( ) = 2 s1 = 14599788, s2 = 6958579, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14599788, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 2563209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14588731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14588731, s2 = 6855076, int(edited[s2]) = 0 s1 = 14588731, s2 = 6855076, d1 = 7, d2 = 7 Dl.O(d1) = 260017296,72534706,259312386,4798515,254537795 Dl.O(d2) = 260017296,72534706,259312386,4798515,254537795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14588731, s2 = 6855076, dlinesl.size( ) = 2 s1 = 14588731, s2 = 6855076, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14588731, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8026827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6447306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8078879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8078879, s2 = 3060065, int(edited[s2]) = 0 s1 = 8078879, s2 = 3060065, d1 = 52, d2 = 84 Dl.O(d1) = 29959436 Dl.O(d2) = 94375746 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2994038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9039399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9039399, s2 = 8302055, int(edited[s2]) = 0 s1 = 9039399, s2 = 8302055, d1 = 29, d2 = 22 Dl.O(d1) = 37302395,34211071,28769343,258256125,49993189,39977080,31302319,31302316,35088044,35088045,259159933,67696453,258534731,256745111,55309750,55309008,44463606,257310601,55309026,48869047,38949348,30363216,22961705,16725584,16725583,16725576,16725575,22961696,30363203,38949328,257577637,72997502,257910229,55309484,67648719,259787513,260667500,259451822,258204870,99141694,85219071,85219072,257016786,257597146,100556805,258204868,95175295,81116903,81116904,259787695,261555345,162528668,173561396,263121228 Dl.O(d2) = 258152504,71664216,256570684,37654295,37654294,47560121,257120910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9039399, s2 = 8302055, dlinesl.size( ) = 20 s1 = 2564960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2564960, s2 = 8580065, int(edited[s2]) = 0 s1 = 2564960, s2 = 8580065, d1 = 1, d2 = 42 Dl.O(d1) = 72566965 Dl.O(d2) = 165865225,154096147,141422566,262258781,261909902,141422565,128054181,114164614,100131019,100131018,271813073,141422569,154096155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 14164632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164632, s2 = 8052646, int(edited[s2]) = 0 s1 = 14164632, s2 = 8052646, d1 = 65, d2 = 36 Dl.O(d1) = 10714093,268616028,8314990,12310501,17462171,18557438,25106718,32808973,37526769,37222762,37222763,37222771,47120484,49971890,39955264,39955263,37602080,37602075,37602077,47505870,47505827,39955273,31280408,31280405,37602064,47120494,47120496,58499042,58884736,47505702,47505703,37602063,29053903,21759410,21759409,29053901,256895443,58499026,47120479,37222767,37222769,47120483,47505849,47505850,47120493,37222794,28697110,21445415,21445414,28697106,32808921,25106684,25106685,32808915,25106679,25106678,32808911,41729304,52044061,47505908,37602122,37602107,37601883,37601882,29053933,21759434,15704364,10871490,10871489,15704356,21759425,29053879,37602027,47505826,47505913,47506063,47505708,47505707,47505879,37602092,37602091,47505877,47505884,47505697,37601889,37601891,37602119,47505905,47505698,37602037,37602038,37602058,37602610,47505897,37602113,37602114,47505339,47505340,37602105,37602098,37601422,29053682,21759154,15704048,10871203,7187709,4528319,4528318,7187707,10871198,15704044,21759147,15704374,10871499,7187942,7187940,10871493,15704367,21759437,29053936,29053965,37602128,37602252,47506065,58885039,58764749,47377517,37470534,37470533,36445831,29053188,21759405,21759406,21759453,21759451,21759450,256353857,21759151,255425217,10871195,10871194,15704039,255425233,29053939,29053945,270820420,37602239,255860193,15704465,10871609,10871610,15704468,15703699,10870924,10870925,15703701,15704343,10871483,10870947,7187535,7187534,7187963,10871511,7187948,4528509,2722203,2722204,4528512,7187951,267967717,7188080,10871654,7188068,7188064,4528582,4528581,254747125,15704508,21759591,21759449,21759448,21759570,15704494,10871636,10871635,15704492,21759568,21759539,21759540,21759543,268076573,7188013,7188014,10871615,10870927,7187512,4528180,2721997,1577331,896799,896800,1577336,2722004,4528196,7187546,7187972,4528522,4528521,7187968,255053043,10871503,10871504,10871622,254510247,255053047,21759550,21759728,268213918,15703689,10870906,10870905,255425205,10870954,7187538,7187539,10870955,10871535,7187966,4528541,4528542,7187933,4528497,4528499,4528594,2722248,1577506,896920,506029,283752,283750,506025,896911,1577494,2722233,4528578,7188060,10871649,15704479,10871626,10871627,10871391,7187858,7187857,7188140,4528629,2722270,2722272,4528633,7188142,10871754,15703728,10870946,10870917,7187503,7187502,10870904,10870903,15703687,15703927,10871095,7187628,4528255,2722047,2722048,4528259,2722221,1577486,1577487,2722040,2722039,4528249,2722266,1577522,896930,506039,283759,156734,156733,283754,506034,896927,1577517,2722261,4528614,7187740,4528559,4528558,7188033,4528569,2722229,2722230,4528576,7188058,7188135,10871241,7187737,4528350,2722114,2722112,4528348,7187734,7187866,4528448,2722165,1577449,896877,896878,1577453,2722007,2722050,1577362,1577361,2721979,2722035,1577352,896815,896816,1577357,2722042,1577528,896934,506043,283761,156737,86056,86057,156741,283766,506047,896938,1577534,2722282,4528355,7187745,10871244,10871640,7188045,4528564,4528563,7188043,7187853,4528439,4528440,7187855,10871099,7188029,4528552,4528553,7187885,4528459,2722169,1577455,896881,506011,283740,283739,506007,896875,1577444,2721976,2721975,1577368,896821,505962,505947,505948,505952,896807,506060,283774,156748,86064,47228,47227,86060,156744,283769,506052,896945,1577545,2722303,4528678,7188212,7188238,4528691,4528692,7188038,10871459,15704249,10871383,10871382,10871637,10871428,7187882,7187883,254510241,2722194,1577474,896894,506016,283742,156728,156729,283746,506020,896792,896793,1577322,896830,505968,283708,156714,156713,283703,505956,505992,283728,156722,86051,86052,156726,283736,506005,896874,1577339,2722010,4528204,7187560,10870984,7188232,7187931,7187930,10871308,7187794,7187793,7187928,7187929,10871231,10871230,10871375,10871376,7187898,4528478,4528477,7187910,10871455,15704321,10871469,7187921,4528485,4528484,4528463,2722172,2722171,4528159,2721984,2721985,4528161,2721990,2721989,2722095,1577389,896834,896835,1577393,2722100,2722106,1577428,896858,505985,505984,505998,505997,896868,1577436,2722148,4528416,7187821,255053033,15704173,10871305,10871306,7187845,4528426,2722152,2722153,4528429,7187848,10871379,7187906,7187908,10871445,10871449,10871450,15704050,10871463,10871464,10871431,10871430,10871132,10871131,10870898,7187491,7187490,10870892,7187721,4528345,4528331,4528328,2722097,2722098,4528334,4528341,2722127,1577415,896847,896846,254229435,4528371,7187772,10871282,15704149,21759250,29053180,21758710,15703676,10870889,7187488,7187487,10870887,15703674,21758702,255860157,15704019,21759117,29053641,37601852,37601899,29053688,21759162,15704057,255425219,7187751,4528357,254229433,1577411,2722121,4528369,7187768,268076561,15704144,15704145,21759242,29053697,21759172,15704070,15704071,15704310,15704311,21759382,21758706,21758707,15704228,15704227,21759234,21759233,21758698,21758699,15704212,255053014,10871287,10871288,15704013,10871168,10871169,15704016,21759115,15704099,10871255,10871256,10871367,7187837,7187836,10871364,15704238,15704091,10871248,7187747,7187748,7187762,4528366,4528364,7187755,10871265,15704119,21759215,21759248,29053728,29053316,21758840,21758841,21759318,21759595,21759594,29053346,29053347,29053853,29053174,21759219,15704136,10871275,10871277,15704140,15704297,10871422,7187877,4528455,4528453,7187875,10871419,15704004,15704006,21759111,21759198,21759197,255860153,15703878,15703879,21758964,29053436,37601551,29053790,29053789,37601533,29053794,29053312,29053311,37601514,47505407,47505513,37601650,37601500,29053300,21758827,15703802,10871029,10871030,15703808,21758834,21759362,21758898,15703839,10871048,7187603,4528236,2722026,2722025,4528233,7187598,10871041,15703826,15704276,10871401,10871403,15704280,21759310,29053628,29053629,37601848,37601584,29053388,29053387,21758972,15703884,10871072,10871071,15703882,21758967,21758857,255860143,37601538,37601975,268928661,47505404,37601652,29053426,29053427,29053838,256353865,256895411,37601614,29053403,21758938,21758939,21758891,15703834,15703835,255860145,37601542,29053339,21758861,21758862,21758947,21758881,21758882,29053353,29053291,29053292,29053848,29053847,37601586,29053391,21758927,15703853,10871054,7187607,4528238,2722029,1577347,1577348,2722034,4528245,7187622,10871090,15703915,21759005,29053493,255860141,21758829,29053306,21759353,15704271,15704272,21759357,29053422,21758953,15703874,15703862,15703861,21758941,29053407,37601616,37601589,256353833,29053350,29053410,37601622,37601565,29053375,29053376,37601566,37601554,29053360,21758900,21758901,29053362,37601558,47505436,58884546,58884549,47506084,37602284,29054117,268622175,29053381,29053380,37601575,47505456,47505410,37601524,29053325,29053326,29053468,29053467,37601688,37601719,47505579,58884668,58884662,47505569,37601711,37601710,47505565,47505481,47505477,37601608,29053400,21758935,15703859,10871087,7187620,7187619,10871082,15703909,21758994,29053480,37601708,47505563,58884628,71604257,71604323,258708577,71604199,58884567,58884568,47505576,47505577,47505450,47505451,58884554,58884553,58884629,71604193,71604192,58884541,47505414,37601685,29053457,29053455,37601682,47505533,58884638,71604260,58884661,58884652,47505553,37601700,29053472,29053471,37601698,37601603,29053460,21758984,15703898,10871077,10871076,15703891,21758975,29053448,37601670,47505524,58884617,58884618,58884749,47505717,37601897,37601896,47505716,258075657,47377561,58764792,257464891,47377546,58764752,258075651,58884640,71604263,85169080,258084967,58884647,58884646,58884648,58884645,47505545,37601692,37601693,47505547,47377549,37470566,29053452,21758978,21758979,29053454,268928655,29054092,21759572,21759571,29054091,37602260,47506069,58884658,47505561,37601706,37601705,47505556,53022374,53022354,42581987,257225971,64997616,78271290,71604261,71494618,71494565,58764764,47377539,37470554,37470555,37601678,37601677,256895461,58885045,53022356,42581988,33564910,25775457,25775460,28929358,21652255,21652254,28929357,37470563,37470541,28929343,28929342,37470538,47377519,47377489,47376651,47376652,47377576,47376685,37469828,28928815,28928816,37469832,37470558,37469797,37469796,47376644,58763935,47377572,37602265,37602266,47505797,47505796,52044064,63863451,64997651,78271316,78271288,64997614,53022352,42581984,33564906,25775456,19135031,13663276,13663277,19135035,15617942,10805871,7140220,254338443,2701174,4495724,7140224,10805875,15617948,21652269,28929379,37470612,47377606,42581998,42581997,53022370,53022377,53022379,47376680,37469837,37469838,47376655,37469804,28928800,21651903,21651902,21651904,21651905,28928804,37469807,37601992,29053803,28928827,28928826,37469850,47376708,58763992,64997656,53022394,42582012,33564927,25775465,19135040,13663281,9356751,9356752,13663285,19135046,21652244,15617929,15617928,21652237,28929339,37470530,37470603,28929376,28929375,37470598,47377595,58764808,53022368,53022367,64997632,58763987,47376696,37469844,28928822,21651915,15617716,15617715,21651910,15617711,10805728,10805727,15617707,21651907,28928810,37469821,37601988,37601987,47376703,47376701,58763989,71493944,85066526,78271311,64997645,53022386,42582006,42582005,53022382,42582016,33564930,33564931,28929348,28929347,37470548,47377532,58764727,58764726,58764799,47377580,37470592,37470593,47377584,58764800,71494608,78271302,85066976,85066485,71493909,58763959,47376692,37469835,28929337,28929336,37470523,47377503,37601663,37601664,37601509,29053303,29053302,37601506,47505394,47505790,47505791,58884816,71493941,71493940,64997639,64997640,78271300,257761862,53022365,64997628,71493948,64997659,58764754,47377526,37470543,37470544,33117058,33117059,37470517,28929333,268619375,47377498,58764732,71494541,85066989,98992982,106597024,101730675,87758279,74154133,61373761,61373760,64265193,52409830,42065991,42065990,37469818,28928808,28928807,37469814,47376667,47505388,47505389,58884530,71604189,64265217,52409839,52409844,64265181,52409824,52409825,64265185,64265261,77415221,91334000,85067043,71494594,58764782,58764783,71494599,64265170,52409808,42065975,33117055,33117054,42065973,52409801,64265164,77415135,91333933,91333929,77415128,76974909,63863456,52044068,52044067,63863453,64265207,269075195,33117079,25381711,25381710,33117073,42065997,52409837,64265203,77415166,77415228,77415229,85169301,85067013,77415179,64265218,58884971,58884972,71604527,64265264,52409866,52409865,52409857,52409858,64265248,77415205,85169275,258084993,47505963,47505964,52409805,52409806,258084991,64265160,77415129,91333930,91333937,85169313,71604515,71604514,76974903,63863452,52409890,52409891,64265210,64265208,58884957,58884956,71604505,85169304,85169173,71604382,58884800,58884799,71604379,77415134,77415224,258708600,64265237,58884974,47505992,47505993,58884977,52409873,42066016,33117086,33117085,42066010,52409861,64265256,58884919,58884918,47505969,37602175,29053994,29053993,37602172,47505961,58884940,61449349,61449350,74228550,71604499,58884951,47505971,47505970,58884949,71604495,74228729,74228728,74228738,87833588,101807441,91333980,85169265,85169266,99091419,99091341,85169170,85169171,85169166,85169167,99091336,259651890,84273702,70722137,58006578,46631555,46631556,37602181,29053999,21759476,15704397,10871518,10871517,15704393,21759471,29053989,37602164,47505947,58884912,48091438,38179847,38179849,48091443,49971613,39955071,31280257,256516427,49971611,61449341,49971841,49971840,58884964,49971757,39955166,39955165,49971753,58006572,46631543,46631544,42066050,33117112,25381738,18796941,13390082,9153933,9153932,13390080,18796939,25381732,33117108,42066045,36743842,28247977,21047848,21047847,15704402,10871523,7187957,7187958,10871526,15704407,21759488,29054006,37602191,47505999,58884981,58884875,47505926,37602153,255860189,15704389,15704388,21759464,29053975,31280383,31280382,39955234,49971761,39955172,31280339,23794311,23794310,31115563,31280378,39955228,32808951,32808950,41729330,52044085,59480889,48091449,38179853,29613031,28680685,21431523,21431524,28680688,36743848,28247981,21047851,15118400,10427947,6875187,6875186,10427944,15118393,21047840,28247972,36743834,46631547,58006575,58884980,71604535,269771088,47505922,37602150,29053980,29053981,29053972,29053973,31280386,23794343,17462253,12310556,8315022,5365274,3298317,1939867,1939866,3298315,255171743,257574938,10964377,10964376,15821446,16908103,254814317,7908036,11832931,16908100,23171585,29148832,21840741,15771133,15771134,21840746,20159074,20159075,27052336,26392847,21960574,15867713,15867714,19821387,14198468,14198467,19821382,14229305,14229304,16658621,14229321,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185581,11625964,11625966,16658403,22887168,30285009,254548152,22582740,22582741,29945679,256960753,257545611,72595231,86192566,100155277,114185678,114185683,128072438,261745997,261745999,141437839,261195062,114185679,128072432,141437845,154108915,148085013,148085012,154108920,141437848,128072437,114185682,100155280,86192569,72595233,72595229 Dl.O(d2) = 257830150,25949657,19285389,19285387,25949655,269102263,256743008,76211304,257089948,50334062,40308033,31619718,254867876,12561840,270914108,32329419,27623457,27623456,28394621,28408421,23090421,23090420,258387202,13474247,9215746,6034089,3774924,2709090,2709088,2262630,1312880,1312885,2262666,3777200,6037665,254924313,258411937,259702702,257813650,46355818,36497852,28035001,254659768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164632, s2 = 8052646, dlinesl.size( ) = 30 s1 = 6912880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2566213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2566345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2566426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2566426, s2 = 2887597, int(edited[s2]) = 0 s1 = 2566426, s2 = 2887597, d1 = 0, d2 = 9 Dl.O(d1) = 72610448 Dl.O(d2) = 86208130,100170517,86208129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8355185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8355185, s2 = 15762138, int(edited[s2]) = 0 s1 = 8355185, s2 = 15762138, d1 = 7, d2 = 5 Dl.O(d1) = 256966249,59875524,72614371,86212984,86213002,72614394,59875543,59875544,258779941,72614343,59875504,48483241,48483240,59875501,257547001,38569450,268410425,16443028,16443027,22629442,268644453,269351313,72614399,86213008,86213006,86213004,72614407,72614406,86212959,72614401,72614403,86212945,86212944,86212971,72614351,72614352,86212972,260022693,100176844,86212993,259405283,86212955,72614342,269351309,38569421,29998569,29998571,38569423,29998575,29998576,38569433,257546989,72614358,86212978,72614392,72614391,72614377,59875526,48483257,257546997,72614373,86212987,100176841,114209311,261252539,115147337,115147338,129076414,142452118,155097005,166793332,177346173,186667207,194783887,264263827,212396932,216340509,219611220,222374243,224746528,226806299,225050312,222718643,222718644,220004242,216788575,212908461,208162245,202404509,263653823,187544188,187544189,187544186,178342993,178342992,187544185,195553650,202404505,202404506,208162242,212908457 Dl.O(d2) = 220004233,222718637,225050310,227075285,228842833,230399697,266154503,233674654,233674653,232506221,231213229,229771483,228147164,228147163,226296443,224170718,221719587,218863836,215482001,211389086,206381418,200326708,193158561,184806557,184806556,272932198,164461098,152606982,152606981,142218267,142218266,128859963,114959530,100906943,100906944,114959531,108621070,108621071,98679114,84751787,84751786,84751798,71183138,58461173,58461172,47083145,37187754,28666518,28666519,37187750,47083126,37187736,28666491,28666490,28666523,28666524,28666494,21420283,21420282,21420305,15429445,15429444,255402913,10666597,7044620,7044619,10666595,15429451,268383945,28666486,21420276,21420277,255035603,10672761,10666593,7044618,4433468,2661713,1540564,1540565,2661715,4433472,7044609,10666580,15429434,21420291,28666499,31626876,24121440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8355185, s2 = 15762138, dlinesl.size( ) = 2 s1 = 8355185, s2 = 15762138, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8355185, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6705488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6705488, s2 = 14588977, int(edited[s2]) = 0 s1 = 6705488, s2 = 14588977, d1 = 7, d2 = 7 Dl.O(d1) = 257547275,270853046,114210862,128099492,141465186,128127745,114240983,114240984,114240985,100206713,86238492,72635847,59893626,48499532,38584637,30012473,22640850,16451411,11462370,11462371,7679178,6586284,6586020,4126292,4126289,6586005,10020475,10001659,6572758,6572757 Dl.O(d2) = 257547275,270853046,114210862,128099492,141465186,128127745,114240983,114240984,114240985,100206713,86238492,72635847,59893626,48499532,38584637,30012473,22640850,16451411,11462370,11462371,7679178,6586284,6586020,4126292,4126289,6586005,10020475,10001659,6572758,6572757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6705488, s2 = 14588977, dlinesl.size( ) = 2 s1 = 6705488, s2 = 14588977, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6705488, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 1194716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8254138, s2 = 14162233, int(edited[s2]) = 0 s1 = 8254138, s2 = 14162233, d1 = 23, d2 = 30 Dl.O(d1) = 72632284,72632283 Dl.O(d2) = 22413103,29777649,255739046,29495450,29495451,37985639,29423402,29132407,21825334,15757904,10912971,10912970,15757902,21825332,23859005,254134632,21711378,23906446,23906447,31399080,32327908,29084937,254399948,26926510,20046185,14360524,14360525,20046188,15984663,15984664,14378041,9884102,6494178,4069287,2434987,2434988,4069291,6494186,9884120,14378076,20062298,26947336,21290382,15324889,15324887,21290376,28510400,23861081,23861080,21781323,15722315,10885689,7198043,7198044,10885692,15722319,21780393,21780392,29078338,35013984,26932339,20046187,20046188,22091972,29422655,254507304,28127811,22681757,21781343,254162000,7198047,7198046,10885698,15722328,21781334,20066197,14382165,9887746,6496809,4070955,4070954,6496806,9887734,14382140,15724575,21783538,26900093,20017839,14336857,9848996,9848995,11133963,11133964,16035306,22156112,16625784,16625785,20019293,14338279,9850319,6470038,6470037,9850310,14338263,14338148,9850252,6470017,6470018,9850272,14338180,15722317,15722316,19304190,19304191,254972148,35012800,35012801,44389603,55238831,67580901,81048755,95106184,109360384,123552007,137284252,150326043,162461463,173501474,183303869,191873928,199245841,205483669,210644194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8254138, s2 = 14162233, dlinesl.size( ) = 18 s1 = 14164357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2567283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2888939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2888939, s2 = 11070107, int(edited[s2]) = 0 s1 = 2888939, s2 = 11070107, d1 = 4, d2 = 0 Dl.O(d1) = 86246105,72644077,72644075,76969380,63857579 Dl.O(d2) = 25100864,18552375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2888939, s2 = 11070107, dlinesl.size( ) = 2 s1 = 2888939, s2 = 11070107, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2888939, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2568047, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8314085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13542649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6632969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6629179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6706139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2678806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2869856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2869856, s2 = 9661131, int(edited[s2]) = 0 s1 = 2869856, s2 = 9661131, d1 = 15, d2 = 23 Dl.O(d1) = 85814642 Dl.O(d2) = 258163715,48587675,44574625,257319835,48095218,38183550,29616370,22265216,22265154,255083277,254527801,4696221,7431856,11200565,261169907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2869856, s2 = 9661131, dlinesl.size( ) = 18 s1 = 203552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 203552, s2 = 9328051, int(edited[s2]) = 0 s1 = 203552, s2 = 9328051, d1 = 40, d2 = 13 Dl.O(d1) = 4842341,7653204,257554841,72717208 Dl.O(d2) = 221433582,263443986,273061262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 203552, s2 = 9328051, dlinesl.size( ) = 38 s1 = 2571579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9695768, s2 = 11658347, int(edited[s2]) = 0 s1 = 9695768, s2 = 11658347, d1 = 1, d2 = 1 Dl.O(d1) = 153942801,165716023,176379432,185819017,194051969,186032935,176614357,165970506,154213473,141552001,128195409,114312653,100282242,86320122,72722620,59985102,48593013,38676518,30099030,30099029,28099777,20924135,20924134,28099773,255949492,55629751,46435402,36570837,28099661,20924070,15016516,10344650,6810520,4271592,2553885,1471121,1471120,2553884,4271590,6810518,10344642,15016499,20924046,28099625,28099679,20924082,15016523,15016524,20924084,28099683,36570864,255430514,55629746,255865620,46435535,57790682,46585000,46584998,57790770,46435631,46435632,57790772,70491241,70491240,57790887,57790458,46435338,46435337,36570894,28099700,28099701,36570896,46435473,46435540,36570957,36570958,46435545,36571177,36570767,36570766,46435292,46435780,57790917,58394757,47022891,47022890,268393712,47022885,37134880,37134879,47022882,256901422,70491214,83036717,83036718,84025654,78670592,78670593,70491407,65396667,53393475,46929542,37051520,37051521,46929546,55224006,55224007,61511161,61511160,57790580,57790581,70491247,84025660,70491225,57790561,57790563,70491227,84025771,84025779,87208925,98132669,97895181,97895180,84237833,84237832,84677369,71112677,58394862,58394861,71112674,84677365,92986578,85229358,71664303,71100290,58383485,47012264,256317434,37051499,37051500,46929521,58295302,53393478,42927422,33881424,33881423,28622408,28622409,37134897,47022912,47022915,47022916,58394799,58394809,58394808,71112649,84677345,97908716,93003310,93003311,78893477,65558515,59263339,47867836,47867835,59263337,71999509,85586196,99532985,260577925,127414955,140771038,153451424,165251101,175953451,185436693,263889159 Dl.O(d2) = 153942801,165716023,176379432,185819017,194051969,186032935,176614357,165970506,154213473,141552001,128195409,114312653,100282242,86320122,72722620,59985102,48593013,38676518,30099030,30099029,28099777,20924135,20924134,28099773,255949492,55629751,46435402,36570837,28099661,20924070,15016516,10344650,6810520,4271592,2553885,1471121,1471120,2553884,4271590,6810518,10344642,15016499,20924046,28099625,28099679,20924082,15016523,15016524,20924084,28099683,36570864,255430514,55629746,255865620,46435535,57790682,46585000,46584998,57790770,46435631,46435632,57790772,70491241,70491240,57790887,57790458,46435338,46435337,36570894,28099700,28099701,36570896,46435473,46435540,36570957,36570958,46435545,36571177,36570767,36570766,46435292,46435780,57790917,58394757,47022891,47022890,268393712,47022885,37134880,37134879,47022882,256901422,70491214,83036717,83036718,84025654,78670592,78670593,70491407,65396667,53393475,46929542,37051520,37051521,46929546,55224006,55224007,61511161,61511160,57790580,57790581,70491247,84025660,70491225,57790561,57790563,70491227,84025771,84025779,87208925,98132669,97895181,97895180,84237833,84237832,84677369,71112677,58394862,58394861,71112674,84677365,92986578,85229358,71664303,71100290,58383485,47012264,256317434,37051499,37051500,46929521,58295302,53393478,42927422,33881424,33881423,28622408,28622409,37134897,47022912,47022915,47022916,58394799,58394809,58394808,71112649,84677345,97908716,93003310,93003311,78893477,65558515,59263339,47867836,47867835,59263337,71999509,85586196,99532985,260577925,127414955,140771038,153451424,165251101,175953451,185436693,263889159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9695768, s2 = 11658347, dlinesl.size( ) = 2 s1 = 9695768, s2 = 11658347, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9695768, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8151645, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9462850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9462850, s2 = 15599471, int(edited[s2]) = 0 s1 = 9462850, s2 = 15599471, d1 = 52, d2 = 51 Dl.O(d1) = 114367483,128245219,126307178,112442728,98453250,84531405,70968073,58251638,46884191,37004996,28506645,28506646,28818875,28012384,20846659,20846657,26947381,35028074,35172355,35172354,40032472,31352148,23858595,17515404,12351477,267870874,14356367,9864244,6479614,4060384,2430173,1405715,1405713,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040672,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,20074720,26942426,20069222,14392116,14392117,20051996,14366410,14366406,14365987,9872559,9872562,14365990,15720057,10883317,255053895,21779073,18404041,18404042,24908552,32559489,26937429,20051558,20051557,26937426,25053952,18516629,13156206,8967347,8967348,13156210,18516634,254644614,37691733,37691654,37691655,35010371,28967891,28967892,30198514,29081289,29081288,22094670,15986675,11098119,11098118,15986672,15985387,11097293,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,14359858,14359859,20045091,16416063,16416064,21495036,28754389,29766810,30916897,23479895,17196932,17196933,23479899,26930832,255079916,50062559,48597301,48597302,59989208 Dl.O(d2) = 259000436,130254008,116416789,102324109,88328281,74700495,61906872,268019808,31688115,254294424,12609332,254111756,3619284,2161134,2161136,1923723,1099018,1099020,1737757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9462850, s2 = 15599471, dlinesl.size( ) = 30 s1 = 6706305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8191567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8455717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8455717, s2 = 14969123, int(edited[s2]) = 0 s1 = 8455717, s2 = 14969123, d1 = 43, d2 = 57 Dl.O(d1) = 105428517,114321726,270856020,114328013,100297912,86336072,72738865,259413675,114328015 Dl.O(d2) = 100297854,114327955,128210632,259575398,86336011,72738798,72738797,86336009,100297826,114327928,100297822,100297823,100297824,114327930,128210630,141566573,128210625,260030681,100297821,114327926,128210626,141566575,141566629,261754831,143708554,130382903,130382902,272617897,167828605,165983693,165983694,165983689,156236771,143708573,130382926,130382927,143708563,143708562,156236759,167828555,156236687,262372757,178269164,178269161,167828536,156236665,261325789,130382830,143708471,156236667,165983804,154227421,141566700,141566701,154227423,143708559,141566638,128210727,128210726,141566635,261325799,130382920,143708566,156236766,143708568,130382922,261325801,141685357,261764081,260755309,88446385,88446386,88446372,88446371,102448022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8455717, s2 = 14969123, dlinesl.size( ) = 30 s1 = 2893779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8648745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8648745, s2 = 7597008, int(edited[s2]) = 0 s1 = 8648745, s2 = 7597008, d1 = 24, d2 = 22 Dl.O(d1) = 260641142,258799868,261217033,262752213,176645860,261756188 Dl.O(d2) = 268904625,262618271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8648745, s2 = 7597008, dlinesl.size( ) = 26 s1 = 3190354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8620890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6990065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6990065, s2 = 10700872, int(edited[s2]) = 0 s1 = 6990065, s2 = 10700872, d1 = 76, d2 = 35 Dl.O(d1) = 261063328 Dl.O(d2) = 24059521,255908074,8484997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6990065, s2 = 10700872, dlinesl.size( ) = 38 s1 = 14165022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165022, s2 = 15324990, int(edited[s2]) = 0 s1 = 14165022, s2 = 15324990, d1 = 6, d2 = 2 Dl.O(d1) = 5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099781,254426849,8713805,12816117,11005257,11005256,9199568,9199567,13452225,18877086,21383330,21383331,21969196,17946110,12716657,12716656,17946109,15354454,15354455,21326360,24505840,18077193,12815813,254975655,6515885,4082719,4082718,6515882,254623822,2323761,2323762,3880372,4083248,4083247,6516814,9916296,14417862,254689856,15872466,15872468,13223997,13223999,18606167,20274772,20274773,20107132,20107131,24506596,18078111,12816743,12816744,18078114,18753215,18753202,13352474,9124614,9124613,13352472,18753198,24348084,17956225,13365064,13365063,13365710,13365713,18753075,18133435,12858275,8744083,8744082,11004094,254498150,15819600,10963264,7256966,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,9136098,13367902,13368030,13366773,13366772,18770301,255748192,13366246,13366247,18769800,18279573,18279572,13366814,254645966,3738394,2238182,1297932,740773,421039,237618,237619,421045,740786,1297962,2238240,3738510,5692750,5692748,8744214,8744600,8920439,13090323,9142979,5983093,3741253,2239736,1298800,741224,741222,1298795,2239721,3741226,5983041,9142880,13376686,18781551,17590270,17590272,23932783,25364699,25364202,18781334,18781333,13693279,10553228,6960287,6960289,10553233,15287851,21252722,28472719,22152477,16032558,16032560,22152486,23674067,31162609,25364330,18781424,18781423,25364324,23933057,23933048,17590444,12416300,8392077,5415636,3329231,1958008,1958009,3329234,5415641,8392088,12416316,17590469,18781661,18781368,18781367,25364242,33097834,33098334,42046496,38182887,29615743,22264657,16123802,11200367,11200366,255391085,10553222,10553221,15287827,21252683,28472681,36970947,38055330,42045950,33097808,33097809,33098280,25364607,25364608,33098282,31423476,31423477,25364080,23933107,23933108,23933130,23933129,30370969,22969440,22969441,30370972,32825950,32825951,41746651,256106006,256106022,38055215,38055216,40530203,41746704,255636556,18570153,13196213,8995918,8995917,13196208,18570141,25121775,32825989,32826225,255644404,47103875,37207259,37207264,32826145,25121998,18570348,18570349,25121721,21434023,21434022,21434033,28683618,27936358,20783331,20783330,27936354,27936341,20783324,20783323,27936336,36380562,46210862,42141709,41745930,32825135,25120869,25120870,32825138,31832534,24314189,24314190,31832539,38571080,41745911,48173144,47103989,47103904,47103903,47103959,46210841,39476244,30872346,23443480,20783320,20783319,21433933,28683467,33182269,42141699,47103908,37207286,28683580,21434006,15439909,10674255,7050361,7050363,10674261,15439922,21433915,15439858,15439860,21433922,28683446,36380544,33181932,33181930,42141273,46210894,46210893,46210933,36380643,27936390,20783341,20783340,25437218,22630880,16443992,11457224,11457223,16443985,18841273,25437229,33181946,38571057,33182315,33182314,38570968,36771431,28275942,28275932,21433943,15439869,15439870,13423779,13423777,18841305,25437167,33182051,33182049,28683566,21433997,21433984,21433983,28683549,37207349,42141548,37207176,28683427,28683426,33182121,33182120,39476213,33182088,33182089,42141118,42141117,42141472,42141473,46210835,52499933,257027208,31832633,31832630,40530169,42141353,42141209,42141207,48484448,42141678,33182257,33182258,35040791,32825680,32825679,41746445,42141607,38571140,38571139,48484504,41746452,32825685,25121453,18569861,13196035,8995835,8995836,13196043,18569876,25121482,32825749,41746267,41746300,41746491,41746490,52060501,41746400,41746399,43833981,43833982,54579104,44401035,44401037,37891701,29323753,21994461,21994460,29323747,37891689,33181965,33181964,42141317,33181980,33181979,42141346,35025779,26945042,26945043,35025784,32825562,32825563,41746253,52060342,52060579,52500171,52500170,52060463,41746365,32825624,32825625,32825698,32825699,32825650,32825573,25121419,25121418,32825614,41746347,43833955,34561148,34561145,43833948,48878089,44401406,35026097,35026098,38959316,41746877,41746878,52060610,48878106,48878107,55249182,55249172,44401380,44401379,48877833,38958631,38958634,44400865,44400867,44400965,35025750,26945027,20059800,20059799,26945021,35025738,44400941,35026014,33321771,25559747,18946911,13510213,13510212,18946907,25559737,29323718,21994448,15896095,15896097,21994453,29323729,35025929,26945129,26945131,26945157,20059862,14375267,9881246,6491953,6491955,9881252,14375285,20059897,26945217,35026088,35025911,35025912,44401177,55248979,64589893,52689268,52500026,42141392,42141393,52500032,44401359,35026059,35026058,35025720,26945014,20059796,20059795,26945008,35025711,38216667,36967773,28469088,28469089,36967778,33321704,33321705,38570620,48484116,38571443,30000862,22631428,22631429,29999795,29999794,38570527,48484015,58762601,58762602,59052799,48483717,48483718,38570492,37468485,37468486,37468361,28927633,28927634,28927705,28927706,37468230,47375021,48483651,38570019,38570018,47375132,37468340,28927626,28927629,37468351,47375147,48484529,47375121,47375119,38570670,29999902,22630518,16443746,11457105,7620700,7620701,11457110,16443755,16654562,22883276,22630219,22630218,29999460,256109240,21651022,28927667,28927696,21651040,15617088,15617087,21651036,28927688,37468450,38571395,48483773,38570129,30000512,22631010,22631009,30000509,38571219,42053548,33104402,33104401,38570416,29999669,29999560,29999557,30184284,38571472,38570397,29999645,22631157,22631156,22631057,16444109,16444112,22630694,16443880,16443881,22630700,22629804,22629805,29998988,29998992,22629809,16443292,16443291,22629807,22631122,16444153,11457316,11457272,7620775,7620774,11457266,16444056,22630974,30000463,30000401,29999964,22630587,16443795,16443794,16444208,16444207,16443285,11558541,11558538,16577894,13380015,13380016,16444260,16577921,11558552,7691864,7691863,7620631,4821636,4821637,7620637,11456959,16443481,16443163,11456789,11456790,7620769,7620768,7620596,4821623,4821622,4821710,4821709,7620820,11457341,7620806,4821704,2905601,2905600,4821700,7620797,11457325,16444173,16444177,16443330,16443328,22629869,16444127,16444129,22631088,27966477,27966478,22630560,22630559,29998977,22629830,16444256,11457377,7620827,7620828,11457383,14162828,16444358,16444359,22629813,16443504,11456975,7620643,7620645,11456981,16443449,16577906,16443154,16443155,22629587,22629760,16443262,11456837,7620579,7620578,11456797,7620559,4821610,4821611,7620565,11456807,16443209,16444161,16444159,22629892,16443347,11456881,7620603,7620604,11456885,16443354,22629904,22629880,22629879,22630568,16443779,16443778,22630563,29999951,38570714,43834489,34561627,34561628,36986956,28490123,21273779,255027435,10575559,15312480,21273790,28490051,28490048,26575117,19773043,14162950,9737062,9737064,14162956,19773061,18887382,18887383,19772970,14162910,14162911,19772974,26575027,26574471,254649828,9736884,6402974,5385243,5385244,8343446,9773131,14216003,10600079,6993449,6993450,10600081,15345937,21317013,28540619,23446176,23446174,23446187,23446188,17170990,17170991,23446208,30876276,39481475,37053440,32160040,24575559,24575560,32160041,33953458,43010225,49411489,39481678,39481677,39481718,39481719,49411539,258222943,73558308,73558307,65047774,53064644,42616784,33592747,255687203,19151150,25796771,33592749,42616785,53064650,47015946,47015945,58387021,71103659,60811968,49411643,49411645,269375910,60157130,48763359,38843765,38843766,48763361,43010219,33953454,26116586,26116585,33953452,43010216,53488395,49411590,258203456,30876173,30876174,33953769,33953437,33953436,43010196,42011208,33067053,25337431,18757739,18757740,25337434,255836256,52350579,43214009,34126408,26260587,26260586,34126403,38042618,38042619,47956177,59347388,61530090,72081015,85667269,85667257,72080992,59347397,52400703,257782177,77405800,67758488,67758489,61530094,50050633,40030401,40030400,50050632,61530092,74307690,87592649,85174144,72104793,59372253,59372255,72104797,85174147,71609438,58889576,47510020,37605631,37605630,47510018,58889574,71609437,63563726,63563727,76646649,257824466,47982042,38069785,29506232,29506227,29506228,37052942,28552800,21327887,21327886,28552797,37052936,46931242,58297299,257824470,47982058,47982057,38069868,29506316,22166267,22166265,29506313,22166292,16043701,11139990,11139980,11139979,16043673,22166250,29506292,38069844,47982111,43928556,38069764,29506215,29506216,38069766,47982013,46931239,38069801,38069800,47982062,59372206,257232270,38069914,38069915,47982163,47982039,47982038,59372181,59372210,259366521,72678927,258784707,90505421,86034616,86034615,72441509,59705432,48318701,48318700,43848709,34576860,34576861,43848716,54593328,58392506,47021233,47021232,53012488,53012487,64987467,54593338,43848722,34576864,34576863,43848720,54593334,44621262,35238657,35238655,31758043,24246161,24246158,31758035,40452829,40452778,31757998,31757997,40452775,50488944,48194943,38285793,38285792,48194941,40452781,40452780,42192343,40595658,40595657,39990102,31313498,31313499,24245931,17869394,17869393,24245930,255385694,256304150,42190585,33230293,254742304,29717961,25481349,18879047,18879046,24245488,31757275,25481069,255929418,42190119,46267305,36414647,27956534,20795068,20795069,27956536,36414650,37127635,37127634,39878797,49900261,47014915,39878786,256124764,31757921,24246059,17869491,267960702,8591560,12654320,17869487,24246053,31757910,40452489,42197373,52556509,61980851,50488718,40452698,31757911,31757912,39878779,257420656,256360238,50488868,61380872,52549409,52549410,64423426,74777293,87733748,74127347,61344427,257053307,31154263,39837236,49861073,61344430,74127351,87733756,101708244,105746667,101708241,87733747,74127341,258472478,269135548,70832077,58117476,46748865,46748866,58117478,70832081,84389164,98297681,86389755,72794006,60055489,48658913,38737617,268958005,60055490,48658911,38737614,30155155,22766863,16553017,16553018,22766866,30155160,38737609,38737610,48658907,60055488,72794004,86389753,86389761,86389760,72794014,60055495,48658916,38737620,30155171,22766877,16553026,11537594,11537595,11537590,7675807,4856947,4856948,7675808,11537593,16553024,22766874,30155167,38737628,40220772,38352428,38352429,48263487,59650576,61719649,52773320,48263486,42805490,42805491,53258398,255864442,256201622,62188874,57812323,46456122,46456123,52773325,64687525,257831140,70881513,70881512,77876986,70881510,58167400,46799996,46799995,268763406,269102808,70881511,72852202,72852201,70881520,58167412,46800006,36921943,28423574,21200454,15235476,267936774,28423573,36921940,46799999,53144178,42693696,42693697,53144180,58167393,46799988,46799989,46799985,46799984,48720392,60115266,256163638,46799992,58167396,256681094,84438919,78410470,65128978,53144176,42693690,33663051,33663052,42693691,47297515,47297514,58688462,71421651,84994985,98919757,98919758,112907344,126759877,126759878,140109134,152802465,164640281,263109719,184949712,184949713,263866091,203792483,197230668,264046479,200859085,197230669,189537717,180634472,170497737,170497736,170497734,159155158,262457451,170497739,159155166,146779531,133521571,119648226,260852767,146779518,133521560,133521559,119648228,119648229,133521575,133521585,133521573,133521572,146779532,159155167,170497730,159155152,146779521,133521597,133521598,146779555,261957575,133521565 Dl.O(d2) = 119648214,119648215,133521563,133521575,133521585,119648236,119648237,133521582,119648234,105411016,105411014,105411017,105411018,105411024,91188796,77269335,64122024,52272920,41934078,32993349,25269220,25269221,25269228,25269222,18697374,13304359,13304358,18697370,13304361,9085989,5943225,5943224,268021907,5943226,3716343,2225374,2225375,3716345,5943230,9085998,13304369,9085993,9085994,13304370,18697387,25269236,32993364,32993367,25269238,25269237,32993366,41934093,52272934,64122047,77269360,91188819,105411057,119648267,119648266,119648273,119648272,105411055,105411046,91188812,91188811,105411043,106796059,106796058,121051708,121051707,106796057,92488842,78451654,65168956,65168955,65168958,53184346,42735108,33705534,25899296,19238748,19238749,25899297,25920895,19259058,13763403,13763402,13763401,19259056,25920891,33727579,42757162,53206758,65192330,53459140,257841161,78810265,92916487,92916489,78810268,78810269,92916491,107320968,92916488,90866081,76987736,63876616,258378401,41742939,41742938,52057601,63876626,76987745,90866091,105044913,119237231,123967570,119237233,105044908,90866087,76987742,63876620,63876621,76987743,90866089,95623957,258553403,270154437,68100619,55702914,44795300,44795299,55702912,44795302,35370558,27246371,27246372,35370560,44795306,44752061,35325658,27201461,27201462,20274450,20274449,27201465,35325663,32355098,24739308,24739309,32355100,41169989,51355205,63036011,76018924,89795745,103896909,259306540,70557006,57855554,46499559,46499558,257404063,46499560,36632631,28158216,28158217,36632633,46499569,57855557,46499568,46499564,36632627,36632628,257404067,70557009,84093330,84093331,70557010,70557011,84093322,258014381,57855550,70557002,84093324,97966792,260486529,139059705,151761482,163636488,174472585,163636484,157060616,144662124,131439213,131439200,117638442,260791767,103508626,103508627,117638448,131439210,119816403,105577420,91354638,77432476,270512751,91354639,89414881,77432486,64280144,52423410,42078666,33128804,25392059,18805351,13396643,9158618,9158617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165022, s2 = 15324990, dlinesl.size( ) = 8 s1 = 8501101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8661722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8284152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8284152, s2 = 1261505, int(edited[s2]) = 0 s1 = 8284152, s2 = 1261505, d1 = 119, d2 = 134 Dl.O(d1) = 269356473,72803976,74709062 Dl.O(d2) = 31697916,31697917,40390689,257384816 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2575581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2575581, s2 = 6477813, int(edited[s2]) = 0 s1 = 2575581, s2 = 6477813, d1 = 6, d2 = 14 Dl.O(d1) = 72810683 Dl.O(d2) = 254981993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2575581, s2 = 6477813, dlinesl.size( ) = 30 s1 = 8382894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14607729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14607729, s2 = 2575820, int(edited[s2]) = 0 s1 = 14607729, s2 = 2575820, d1 = 6, d2 = 6 Dl.O(d1) = 64415,64417,63430,63434,116140,203433,371480,669143,254423515,255207211,256052207,257108419,62075300,74873420,88509378,259418138,72813985,270340091,269827708 Dl.O(d2) = 64415,64417,63430,63434,116140,203433,371480,669143,254423515,255207211,256052207,257108419,62075300,74873420,88509378,259418138,72813985,270340091,269827708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14607729, s2 = 2575820, dlinesl.size( ) = 2 s1 = 14607729, s2 = 2575820, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14607729, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7624345, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7019960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7019960, s2 = 14166335, int(edited[s2]) = 0 s1 = 7019960, s2 = 14166335, d1 = 1, d2 = 1 Dl.O(d1) = 261443208,257561531,38759908,30176868,22788103,16572227,254794619,7687236,11553239,16572231,22788111,30176876,38759917,48681565,60077837,72815122,86410121,260035099,128265620,141616179,154272182,166025107,175831328,262210721,140612858,260567731,99407220,258724331,59143331,47744620,37822646,256147261,13621354,9327169,6109724,6109723,9327167,13621352,19079303,25706081,25706074,19079300 Dl.O(d2) = 261443208,257561531,38759908,30176868,22788103,16572227,254794619,7687236,11553239,16572231,22788111,30176876,38759917,48681565,60077837,72815122,86410121,260035099,128265620,141616179,154272182,166025107,175831328,262210721,140612858,260567731,99407220,258724331,59143331,47744620,37822646,256147261,13621354,9327169,6109724,6109723,9327167,13621352,19079303,25706081,25706074,19079300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7019960, s2 = 14166335, dlinesl.size( ) = 2 s1 = 7019960, s2 = 14166335, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7019960, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2897500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6721537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6721537, s2 = 10333752, int(edited[s2]) = 0 s1 = 6721537, s2 = 10333752, d1 = 84, d2 = 122 Dl.O(d1) = 257705490 Dl.O(d2) = 91377576,77452801,77452802,91377577,105602223,119843451,133722400,146985325,159368923,170719782,180861755,189757193,186120871,176708681,262746734,154321906,141669572,260634680,100418969,86462216,72866818,60129975,257561088,38814916,30231690,22839177,22839178,20072454,14389316,14389317,15725141,14380819,14380818,15627372,10813803,9891302,7146270,4499933,2703916,2703918,4499940,7146279,10813834,11570036,11570035,16590262,11570084,7701264,6496092,4070528,4070527,254687539,14380943,20056881,20056880,17331283,12206256,12206255,17331282,20048425,14362625,11333954,11333953,14371761,9877776,6489324,6489325,9877779,14371765,15252786,21222366,28448943,36949129,46827140,41604895,32701957,32701958,32700381,25016991,25016992,24610939,18162209,12879958,12879957,15851674,15851676,18488664,13135047,8951884,5842859,5842860,8951887,13135052,18488667,18488288,268019000,32701953,32700463,25017057,18487277,13133995,8951184,5842433,254636877,255239140,8951188,254903686,18487282,254636814,41603298,51279247,41100826,41100827,44598759,255239096,32701962,255637930,255239264,25016889,32700248,41603066,254636818,41599252,41599251,32700232,32700234,41603047,51902894,41603020,41603019,41603060,32700242,32696824,32696823,41599076,32702620,25018855,18488777,18488776,25018852,32702393,32702394,41603050,41603051,51899082,63706990,51904607,41604915,41603171,41603172,41605452,51899074,41598867,41598868,51899076,255239056,63706661,63706991,51899085,51899086,51902919,51902918,41604910,41599258,32696999,32696998,41599254,41604931,32701997,32700397,32700398,32700217 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163652, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2898727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2898727, s2 = 14083403, int(edited[s2]) = 0 s1 = 2898727, s2 = 14083403, d1 = 13, d2 = 1 Dl.O(d1) = 86453456 Dl.O(d2) = 38805365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2898727, s2 = 14083403, dlinesl.size( ) = 18 s1 = 8249133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8249133, s2 = 3462928, int(edited[s2]) = 0 s1 = 8249133, s2 = 3462928, d1 = 17, d2 = 9 Dl.O(d1) = 48727089,60122032 Dl.O(d2) = 114436455,272227869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8249133, s2 = 3462928, dlinesl.size( ) = 30 s1 = 13542423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2741159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6707747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6707747, s2 = 10825088, int(edited[s2]) = 0 s1 = 6707747, s2 = 10825088, d1 = 43, d2 = 66 Dl.O(d1) = 257567981 Dl.O(d2) = 28628188,33645098,255287948,53125271,53217332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6707747, s2 = 10825088, dlinesl.size( ) = 40 s1 = 2580162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2580162, s2 = 7890018, int(edited[s2]) = 0 s1 = 2580162, s2 = 7890018, d1 = 41, d2 = 89 Dl.O(d1) = 72879932 Dl.O(d2) = 34691916,26697270,20208649,15649041,10831557,10831556,15649036,14236588,9786740,9786739,14236585,18559860,18559862,25109188 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8731428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6629835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6629835, s2 = 6503968, int(edited[s2]) = 0 s1 = 6629835, s2 = 6503968, d1 = 20, d2 = 23 Dl.O(d1) = 256719948,72894447,72894446 Dl.O(d2) = 22865910,22865911,255312120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6629835, s2 = 6503968, dlinesl.size( ) = 2 s1 = 6629835, s2 = 6503968, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6629835, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 10348553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348553, s2 = 6603583, int(edited[s2]) = 0 s1 = 10348553, s2 = 6603583, d1 = 11, d2 = 11 Dl.O(d1) = 261515966,269140894,39030127,38053342,38053341,47966570,58534986,271306827,72902211,60165542,48771377,256445115 Dl.O(d2) = 261515966,269140894,39030127,38053342,38053341,47966570,58534986,271306827,72902211,60165542,48771377,256445115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348553, s2 = 6603583, dlinesl.size( ) = 2 s1 = 10348553, s2 = 6603583, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10348553, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 6603582, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6708159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2902025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2902025, s2 = 14038430, int(edited[s2]) = 0 s1 = 2902025, s2 = 14038430, d1 = 4, d2 = 3 Dl.O(d1) = 86509900 Dl.O(d2) = 43409337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2902025, s2 = 14038430, dlinesl.size( ) = 2 s1 = 2902025, s2 = 14038430, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2902025, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 2102573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2102573, s2 = 10175916, int(edited[s2]) = 0 s1 = 2102573, s2 = 10175916, d1 = 6, d2 = 6 Dl.O(d1) = 57195049,45944548,45944550,57195053,57504965,57504964,70169991,82009472,82009471,96040930,260429819,97504890,83619506,70092709,69398748,56818311,45651680,45651679,55964415,55964414,45040538,45040537,53507921,43028370,33970710,256097126,256778115,27486083,32204740,257122894,32202092,40982133,51124511,258330393,51124399,51124400,258330395,89468758,259150277,80991215,89468773,75703294,62755890,51124405,40982064,40982063,51124403,62755881,75703285,66093131,66093132,60186438,48789993,256257616,257365466,258595830,113036435,99048086,88496309,88496310,91525916,77594858,64426208,64426209,52552219,42193677,33233617,33233616,42193675,52552218,64426211,77594859,77594860,91525918,91525923,84836169,71262002,58530241,47142049,37236922,28706478,21451922,254461162,10684717,15453595,21451923,28706479,37236924,30808757,23380399,17110236,12023855,12023854,16856664,16856663,11789499,7872420,4997723,3019603,3019604,4997725,7872421,9614505,13995065,19544522,26264630,24819874,24819875,32456741,36869572,28372732,21155503,15199887,15199886,21155500,28372726,30534536,23115919,23115920,23115931,16856652,16856653,23115933,30534558,34131300,43219251,53731472,65787687,78032703,91960187,103458551,117589071,131389174,134194674,131389176,131389177,144611613,147406807,147406808,157008963,262865563,164468333,272839780,128766985,114869929,100818721,86837483,73224822,73224823,86837485,100818722,87142023,87142022,98560117,99999801,99999800,260081186,258840128,91711589,91711588,77783714,64600518,64600519,71051888,59137431,59137430,60746605,49343515,257609740,85816318,72415444,59680167,48293085,48293086,48293087,48293088,59680170,72415449,86012035,74025921,61245645,61245644,74025920,259461838,99971594,259648132,99576738,85626473,72038214,59301967,59301968,72038216,85626478,99576744,101634059,87666536,74062774,270377167,73558135,60811736,49411298,39481501,39481502,49411300,39481505,39481504,49213399,49213398,39481516,39481518,49411226,46917134,37039372,37039375,268208002,17170983,12073316,8118656,8118655,12073311,13976044,13976043,15356183,21328187,28553199,28687897,21437619,21437618,28687894,37212386,256326725,28687890,30876239,30876240,39481423,256867470,49411249,58282648,46917130,37039368,37039367,257432461,60811713,49411377,39481570,39481571,49411379,58463474,47085319,46931835,46931834,58297914,71013297,71103682,58387047,58387046,257447010,72080994,73558130,60811724,60811723,63026274,76009353,71013281,58297894,46931812,37053445,37053444,46931815,58297897,71013286,71103662,58387024,47015949,47015951,58387026,71103625,58386975,58386974,71103624,58387034,47085391,37189847,28668328,28668327,37189846,257229901,33627192,25825316,25825315,33627189,42656067,37189807,37189809,47085339,269781685,65511811,58387057,47085422,37189869,37189868,47085419,58387076,51345698,41160761,32346234,24730701,24730702,32346239,28617174,28617173,37128656,47015968,58029671,46657208,36772125,36772126,46657209,44377219,257303755,47085335,58463492,71185537,71185539,71185538,84754238,75998535,75998536,258445186,41148811,32333703,26116583,26116584,33953448,43010206,46657203,46657204,58029667,48844824,48844823,60238894,71103661,78844111,270577083,75998509,63015058,51334084,41148799,32333698,24717605,24717606,32333700,37128672,28617180,256320715,47015984,257439569,47015945,58387021,71103659,60811968,49411643,49411645,269375910,60157130,48763359,38843765,38843766,48763361,43010219,33953454,26116586,26116585,33953452,43010216,53488395,49411590,49411589,60811898,65511972,78844178,65511993,65511992,78844196,87175747,78844189,65511986,65511987,78844192,259318484,60811956,60811957,60811922,49411556,39481731,30876450,30876451,39481733,31808023,24293057,24293058,255295921,9536409,6256060,3916342,3916343,6256065,9536417,8619897,8619898,12073279,8118635,5201108,5201107,8118630,12073272,17170906,17170947,12073300,8118646,8118645,12073296,255538805,24293053,19423552,19423551,19423558,26116826,26116930,26116931,30876213,33953687,33953686,26116806,19423533,19423532,26116804,26116872,33953777,30876119,30876115,23446073,19423400,13896947,13896946,19423396,25796761,23446406,17171128,17171127,13897052,13897050,13897068,12689278,8619901,8619902,12689282,12073262,8118624,8118627,12073268,17170898,13896949,13896950,19423409,26116569,26116540,19423271,19423269,19423556,13897080,9536421,9536423,13897085,19423564,13897210,9536528,9536529,13897217,17171149,17171150,19005418,19423276,13896863,13896862,19002259,19423714,26116704,19423697,17170954,17170953,23446148,25253769,18682888,13289934,13289935,18682890,19251964,19423719,26116768,24293048,17910981,17910980,23446109,17170911,17170892,17170890,19423392,19423393,13897127,13897126,19423619,19423614,13897120,13897119,19423610,26116866,26116817,19423544,13897076,13897075,19423539,19423682,13897206,9536526,9536525,13896857,9536252,6255961,3916284,2344200,1357870,774078,774079,1357873,2344207,3916297,6255982,9536281,13896893,19423313,26116581,256691269,38588947,48503860,47956213,47956214,47956159,43010387,33953615,29479452,22142040,16024379,16024381,22142044,26116846,26116847,22142027,22142028,29479432,38042637,47956199,59347409,48503863,38588949,38023573,38023572,47937370,47956155,47956154,47956308,38042749,38042752,47956310,47956243,47956244,59347425,47956270,47956269,52350583,42011219,38042713,29479509,22142073,22142075,256383929,38042621,29479418,29479417,29479436,29479435,33953742,33953743,37476445,37476446,47383828,58770891,59347459,47956285,38042720,38042719,257506213,47956182,38042620,256926045,59347390,72080985,79136823,65782350,53725912,43214009,34126408,26260587,26260586,34126403,43214003,53488644,43010504,43010505,53488646,49735194,39716589,257044695,61213595,270337234,59347394,59347393,72080967,74307689,87911612,85072287,85072286,85667259,72080993,66877990,54620131,54620132,66877993,71500245,58770878,47383820,47383819,58770876,53488468,43010301,43010302,53488469,58770964,47383894,38069832,38069833,47982096,38069889,255690974,254939816,11139980,7388929,4667899,4667901,7388932,11139987,16043686,22166269,29506318,34104949,39996749,39996748,50014788,46931228,46931229,47863715,38632922,38632921,48547155,48313968,48313969,59700853,48313973,48313972,258144447,86034609,270866965,73130884,73130885,86737429,100712708,86737431,73130888,60389967,59651316,48264301,48264302,50100738,40080069,256020873,17562813,12391715,12391716,17562819,23906615,29831074,38403265,34131375,34131376,43219330,48313958,59700846,59700833,48313949,38403151,29830978,29830980,38403163,48313966,38403260,29831067,29831064,38403256,41189154,41189155,40080055,40080056,39064376,39064377,48987942,60385505,269457683,41189213,41189212,51379327,48314041,38403245,38403244,41189204,51379337,63067506,73165835,60419300,49015691,49015692,60419303,72679314,60389971,48991847,39067763,39067760,48991842,256971086,74357403,76062336,63067493,51379312,41189187,32370880,24752538,24752539,32370870,32370871,41189169,51379276,51379301,256427984,49016810,49016811,59939971,48547644,48547645,59939974,63067495,51379316,51379315,47021231,37133620,37133622,47021236,58392508,257110090,72679058,72679059,74777394,61981115,61981114,63067465,51379285,51379286,48547675,38633369,38633366,48547670,254541684,27142545,27142546,254541686,18879429,18879428,255814952,40452529,44462511,42192696,33232640,33232639,42192695,37843871,29276965,29276964,35087135,41695185,39475144,37097528,28590938,28590939,28115594,28115593,22358728,22358727,29714475,24427858,255385876,25481237,25481069,255929418,42190119,46267305,36414647,36414646,31312441,23823520,20795075,14902532,10246453,6732341,4217953,4217952,6732339,10246451,14902524,20795061,27956525,36414640,46267295,256520033,23831494,23831492,31321878,39999539,50017786,61495862,74272786,85057688,85057687,98982872,87689308,74082331,74082329,87689306,74572602,61788125,61788123,61788133,61788131,55385517,44539251,44539253,55385523,51194921,51194920,41825173,41825172,47109155,58487253,47997420,38085268,29520755,29520757,38085273,47997428,59386431,58757320,50017721,50017722,58392239,47021049,47021050,256864660,71108969,71861787,59123246,47725017,47725018,59123248,71486280,58757336,47371142,37465486,28925571,28925572,37465492,47371154,58757356,58757310,58757306,47371124,47371123,47021040,37133508,37133510,47021046,58392235,71108988,84672107,269351754,74272772,61495848,61495849,74272773,74917199,74917197,84725524,81295246,67829426,59216216,254939454,37895631,37895632,47817640,59216203,61980848,61980849,71492259,74161400,74161399,85065000,257823722,64990007,53014928,42574670,33557864,33557865,42574673,53014934,64990015,55385517,44539251,44539253,55385524,51194924,51194922,256053386,85057751,85057752,85446820,71861657,59123148,47724947,47724948,46443717,46443716,53127031,53127029,65112461,58123232,47724933,47724932,59123131,257823572,59584062,58761999,47374455,47374454,58761997,71492319,71861853,71861854,71954732,59216206,47817641,47817642,59216208,256156624,95819149,84034137,70499528,57798862,46443711,36578639,28106720,28106721,36578640,46443712,57798863,46443715,36578641,28106723,20930302,15022290,10350069,10350068,15022288,255495443,16663098,16001435,13380310,9145792,5985009,3742410,2240385,2240384,3742407,5985005,9144884,9144885,7586698,4798701,2892457,2892456,4798699,4893985,4895268,2950147,2950148,4895270,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929076,4802508,2894624,2894623,4802504,7592213,7602472,7602471,7727524,7727576,4891389,2947635,2947634,4890998,2947386,1709354,1709353,2947380,4890988,3729720,2233033,2233034,254441599,7582930,254735804,7582927,7582928,11411150,11412548,11412547,7589763,4800869,4800870,4807420,4807419,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906119,4822618,7483579,7483576,7483562,7483561,11273405,7612481,4816161,4816162,4820019,4819931,4819813,2904477,1684835,957999,539804,539803,957997,1684832,2902438,2902442,4816300,7612697,5683309,5683310,8729731,6473056 Dl.O(d2) = 57195049,45944548,45944550,57195053,57504965,57504964,70169991,82009472,82009471,96040930,260429819,97504890,83619506,70092709,69398748,56818311,45651680,45651679,55964415,55964414,45040538,45040537,53507921,43028370,33970710,256097126,256778115,27486083,32204740,257122894,32202092,40982133,51124511,258330393,51124399,51124400,258330395,89468758,259150277,80991215,89468773,75703294,62755890,51124405,40982064,40982063,51124403,62755881,75703285,66093131,66093132,60186438,48789993,256257616,257365466,258595830,113036435,99048086,88496309,88496310,91525916,77594858,64426208,64426209,52552219,42193677,33233617,33233616,42193675,52552218,64426211,77594859,77594860,91525918,91525923,84836169,71262002,58530241,47142049,37236922,28706478,21451922,254461162,10684717,15453595,21451923,28706479,37236924,30808757,23380399,17110236,12023855,12023854,16856664,16856663,11789499,7872420,4997723,3019603,3019604,4997725,7872421,9614505,13995065,19544522,26264630,24819874,24819875,32456741,36869572,28372732,21155503,15199887,15199886,21155500,28372726,30534536,23115919,23115920,23115931,16856652,16856653,23115933,30534558,34131300,43219251,53731472,65787687,78032703,91960187,103458551,117589071,131389174,134194674,131389176,131389177,144611613,147406807,147406808,157008963,262865563,164468333,272839780,128766985,114869929,100818721,86837483,73224822,73224823,86837485,100818722,87142023,87142022,98560117,99999801,99999800,260081186,258840128,91711589,91711588,77783714,64600518,64600519,71051888,59137431,59137430,60746605,49343515,257609740,85816318,72415444,59680167,48293085,48293086,48293087,48293088,59680170,72415449,86012035,74025921,61245645,61245644,74025920,259461838,99971594,259648132,99576738,85626473,72038214,59301967,59301968,72038216,85626478,99576744,101634059,87666536,74062774,270377167,73558135,60811736,49411298,39481501,39481502,49411300,39481505,39481504,49213399,49213398,39481516,39481518,49411226,46917134,37039372,37039375,268208002,17170983,12073316,8118656,8118655,12073311,13976044,13976043,15356183,21328187,28553199,28687897,21437619,21437618,28687894,37212386,256326725,28687890,30876239,30876240,39481423,256867470,49411249,58282648,46917130,37039368,37039367,257432461,60811713,49411377,39481570,39481571,49411379,58463474,47085319,46931835,46931834,58297914,71013297,71103682,58387047,58387046,257447010,72080994,73558130,60811724,60811723,63026274,76009353,71013281,58297894,46931812,37053445,37053444,46931815,58297897,71013286,71103662,58387024,47015949,47015951,58387026,71103625,58386975,58386974,71103624,58387034,47085391,37189847,28668328,28668327,37189846,257229901,33627192,25825316,25825315,33627189,42656067,37189807,37189809,47085339,269781685,65511811,58387057,47085422,37189869,37189868,47085419,58387076,51345698,41160761,32346234,24730701,24730702,32346239,28617174,28617173,37128656,47015968,58029671,46657208,36772125,36772126,46657209,44377219,257303755,47085335,58463492,71185537,71185539,71185538,84754238,75998535,75998536,258445186,41148811,32333703,26116583,26116584,33953448,43010206,46657203,46657204,58029667,48844824,48844823,60238894,71103661,78844111,270577083,75998509,63015058,51334084,41148799,32333698,24717605,24717606,32333700,37128672,28617180,256320715,47015984,257439569,47015945,58387021,71103659,60811968,49411643,49411645,269375910,60157130,48763359,38843765,38843766,48763361,43010219,33953454,26116586,26116585,33953452,43010216,53488395,49411590,49411589,60811898,65511972,78844178,65511993,65511992,78844196,87175747,78844189,65511986,65511987,78844192,259318484,60811956,60811957,60811922,49411556,39481731,30876450,30876451,39481733,31808023,24293057,24293058,255295921,9536409,6256060,3916342,3916343,6256065,9536417,8619897,8619898,12073279,8118635,5201108,5201107,8118630,12073272,17170906,17170947,12073300,8118646,8118645,12073296,255538805,24293053,19423552,19423551,19423558,26116826,26116930,26116931,30876213,33953687,33953686,26116806,19423533,19423532,26116804,26116872,33953777,30876119,30876115,23446073,19423400,13896947,13896946,19423396,25796761,23446406,17171128,17171127,13897052,13897050,13897068,12689278,8619901,8619902,12689282,12073262,8118624,8118627,12073268,17170898,13896949,13896950,19423409,26116569,26116540,19423271,19423269,19423556,13897080,9536421,9536423,13897085,19423564,13897210,9536528,9536529,13897217,17171149,17171150,19005418,19423276,13896863,13896862,19002259,19423714,26116704,19423697,17170954,17170953,23446148,25253769,18682888,13289934,13289935,18682890,19251964,19423719,26116768,24293048,17910981,17910980,23446109,17170911,17170892,17170890,19423392,19423393,13897127,13897126,19423619,19423614,13897120,13897119,19423610,26116866,26116817,19423544,13897076,13897075,19423539,19423682,13897206,9536526,9536525,13896857,9536252,6255961,3916284,2344200,1357870,774078,774079,1357873,2344207,3916297,6255982,9536281,13896893,19423313,26116581,256691269,38588947,48503860,47956213,47956214,47956159,43010387,33953615,29479452,22142040,16024379,16024381,22142044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1699723,1685742,1685744,2906119,4822618,7483579,7483576,7483562,7483561,11273405,7612481,4816161,4816162,4820019,4819931,4819813,2904477,1684835,957999,539804,539803,957997,1684832,2902438,2902442,4816300,7612697,5683309,5683310,8729731,6473056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2102573, s2 = 10175916, dlinesl.size( ) = 2 s1 = 2102573, s2 = 10175916, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2102573, Dl.E( ) = 8, 1.22e-05 seconds used appending s1 = 13591525, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2583251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2583251, s2 = 10269871, int(edited[s2]) = 0 s1 = 2583251, s2 = 10269871, d1 = 11, d2 = 13 Dl.O(d1) = 72936425,86534772,100493607,260645479,128391786,141737248,154384785,166129767,176762977,263580069,194369025,201391681 Dl.O(d2) = 212173077,216152745,265218985,274415029,226701358,226701359,226701353,224625473,224625474,265735207,228510777,226701360,224625471,222234741,219449897,216152752,212173082,207300753,207300754,212173080,207300752,207300751,212173078,216152747,219449891,222234728,222234729,222234730,222234731,274352912,222234743,224625474,265735209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2583251, s2 = 10269871, dlinesl.size( ) = 2 s1 = 2583251, s2 = 10269871, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2583251, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6867282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2905425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9118177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9118177, s2 = 9487690, int(edited[s2]) = 0 s1 = 9118177, s2 = 9487690, d1 = 5, d2 = 7 Dl.O(d1) = 28974079,28974080,37517778,40255919,31568351,24062690,256033249,40255915,33082121,33082122,255744682,255581369,268260351,255743758,50277398,40412938,31721071,24213756,17843468,12635719,8579259,5574317,3457926,3457927,5573647,3457635,3457634,5573846,8578473,12634513,255590103,17267869,17267870,22601729,16418547,11434546,11434545,16418543,14091406,9692132,6374860,6374861,9692137,14091417,13018027,8863436,8863435,13018024,16564901,22780297,26395549,26395548,34271221,31608851,26388444,26388445,34262428,30599666,23180995,254245428,11837067,10454747,6891517,4326202,3161643,1850861,1850860,3161623,5181847,8087765,12030341,17119341,22022658,15921558,11044290,7319093,4620870,2782505,2782506,4620871,7319095,8144900,6353874,3986659,3986657,6353873,9662303,6353801,6353800,4459380,3986865,2389481,2389346,1383128,1383127,2389345,3986598,2389428,1383167,786864,254151211,2389433,3986777,4459424,7083118,10721304,14051404,14051403,13919528,9553914,9553915,13919531,14052567,19610693,26339193,26339117,26148813,256174983,26339840,26339841,31095698,39774124,49794002,43309740,34211466,26337791,255305055,14051287,19609359,26337787,23280680,22956886,16720696,11678995,7787476,4937211,4937209,7787469,11678982,16720678,22956860,30358458,38944620,48864391,60257489,72993322,60257487,60257488,72993325,86591144,100552968,114585136,100552966,86591143,86591142 Dl.O(d2) = 114585135,128471003,141824227,154469155,166200997,166201004,154469158,154469157,166201001,176816509,182910309,173012705,161847629,149542784,136277179,260393342,93455453,79324481,79324482,93455455,107884488,122300535,136277185,262078700,130068433,116160644,260252940,88117658,74506629,61725740,50247281,256623912,24037973,17686349,12508376,12508377,12327091,12327092,17483200,13277039,13277038,18668618,18975845,13540251,9269115,6071321,3798664,2275263,2275262,3798662,254655105,13540250,18975844,25584021,33343574,42324519,42324516,42324517,52711631,64612020,77794736,91722700,90015899,90015900,272958553,145339138,157744668,159243662,146870347,133613758,119740122,105501663,91279487,77359654,258394107,52363426,42025293,33081235,256635391,51423037,41225952,32401933,32401934,41225954,48777764,48777763,60172213,67766802,55427159,44580158,44580160,46296736,57641286,52194237,52194238,48777776,38857627,30273222,30273223,29949896,22586219,16403674,16403673,22586215,29949888,38514379,48421546,269400927,67663439,257729814,49874218,61355621,74136962,74136909,61604546,50124599,50124598,61604544,72203196,59465339,59465338,72203192,59465360,48074436,48074438,55323337,44477099,35100124,33996338,26154785,19455824,13923328,9556739,9556740,8392522,8392521,12416900,17591191,23933929,31424479,40104354,50124573,48059885,48059886,40104344,40104345,48074444,59465367,52691011,42304164,33323460,33323461,42304166,48074420,38161608,29595149,29595148,256867801,21442445,21442444,28693516,37218617,47115973,58494333,71216243,84586756,71022711,58307241,58307240,71022708,84586750,98511705,112506743,100841040,86860412,86860410,79322196,65958445,53891751,53891752,256989702,93453323,257447320,65958431,53891740,43367867,34268530,34268531,30569256,23151877,16891075,11819809,11819810,16891078,23151888,30569272,257010515,49097269,49097271,49097309,258199427,60500940,73247953,86860541,95623003,81589360,81589361,84785169,84785168,95622978,95622959,81589332,81589333,95622965,95622969,109434772,95178624,95178625,109434775,109434758,95178610,95178611,86860545,73247958,60500948,49097317,49097305,39167130,39167129,49097300,49097334,60500968,73247978,86860574,100841178,100841077,86860457,73247871,60500858,49097244,39167080,39167079,49097239,60500856,60500885,60500886,70980144,70980143,78272714,86247609,100215046,95623009,81589366,68099644,68099643,81589364,81589337,68099624,55702020,55702019,68099621,81589335,95622974,109827322,100841080,100841081,114891062,101680577,101680576,114891121,100841167,86860566,73247972,73247975,86860531,73247944,60500932,60500931,60500964,73247970,86860563,100841164,114891133,128786659,120846845,106597840,92299646,78272746,64999770,53025143,53025144,64999746,64999745,78272716,86860479,100841083,106597855,106597856,95623013,88256873,74626415,74626414,64999763,64999762,78272735,92299632,81589352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9118177, s2 = 9487690, dlinesl.size( ) = 2 s1 = 9118177, s2 = 9487690, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9118177, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 16024672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16024672, s2 = 11659367, int(edited[s2]) = 0 s1 = 16024672, s2 = 11659367, d1 = 17, d2 = 21 Dl.O(d1) = 31082975,23599119,17286580,12165606,8979311,5862318,3659894,2189640,2189641,3659898,5862327,5306420,5289857,5289858,7489673,4733251,2851944,1654868,942722,531690,531691,942705,531686,531689,942280,942279,1085140,1901054,3240131,3269362,4491789,3218824,3218825,3252084,3202950,3202951,4831848,2911556,2911555,3253514,3253513,5289855,3241419,3241420,5281307,3234596,3234597,2853652,1656009,942351,942350,1655466,1655464,941934,941928,608164,338435,338431,608131,1082786,1897068,3234138,3252120,1909914,1090599,1090598,1909910,3252353,5301603,8209915,8200526,8200525,5318205,5318206,5269376,5269375,5269379,3224057,1889854,1889853,3224056,5269377,7322142,4623330,2784064,2784062,4623328,7322140,11047294,15924476,255155811,11050064,7325379,7325378,5341174,5341175,8229379,5512976,5512975,268251103,12188750,8245973,5317514,3266430,1920037,1096820,615716,615718,1077766,1077762,1091172,1909727,1090489,612265,612263,341873,187535,102400,102401,187539,341814,187504,102388,102387,187500,341806,614844,1095257,1917538,3262973,5313588,8241799,7306931,254396971,3262972,5313586,8241796,12210908,17336719,23653750,31141209,39823924,49847817,61331233,74113884,87719650,101693230,115738289,114068249 Dl.O(d2) = 262078700,130068432,116160644,102104047,88117658,74506628,61725740,50247280,256623912,24037974,17686349,17686348,18668619,13277039,9061731,5925097,3704951,3704953,2219827,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838669,6838788,4290943,2565420,1477240,1477241,2223960,3713905,5939499,9081425,5949247,254643673,9103189,8135722,8135723,12097211,14997251,10327771,6796301,4261487,4261486,6796299,10327766,14997241,13540251,9269114,6071321,3798663,2275263,1319401,1319399,752641,752640,1319398,267812211,3798525,3798524,254655083,6071613,6071612,9269077,9269074,13540213,13539969,9268874,254448119,2275181,1319840,752908,752874,427638,427635,254205809,254448289,9270829,9269113,6071320,3798661,3798662,254655107,13540250,18975843,25584021,33343573,42324517,52711632,64612020,77794737,91722700,90015901,76212416,76212415,90015900,104140533,260817339,145339138,157744669,159243662,146870346,133613758,119740121,105501663,91279488,77359654,64212448,52363426,42025294,33081235,25350267,25350268,268740855,257779447,77359655,91279489,105501664,119740123,133613760,261965093,170580791,180711594,189608655,197296279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16024672, s2 = 11659367, dlinesl.size( ) = 2 s1 = 16024672, s2 = 11659367, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16024672, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 870858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16024846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8300875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8075739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2589545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2249607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352410, s2 = 2591695, int(edited[s2]) = 0 s1 = 10352410, s2 = 2591695, d1 = 82, d2 = 53 Dl.O(d1) = 255305215,6354245,9663050,14052859,9663040,9663039,14052857,19611254,21512419,21512421,22956899,22956900,30358498,25360709,18778233,18778232,25360708,26342760,26342761,21721065,15676683,15676684,21721067,29007095,37552750,34212625,33090683,33090682,39791490,31111042,23624652,17309142,12185384,8216065,8216066,12185385,17309145,23624658,31111056,39791499,49811929,49215195,39288533,30691308,23276522,255141297,1799123,1026561,578376,323526,323528,578378,267769109,1027105,578704,323698,323701,179226,179227,179234,179232,324476,580206,892794,504556,282902,156242,85778,47080,47079,85780,156246,282913,504574,894380,577111,577110,322909,322908,577129,1024187,1028592,1028593,1801961,3069168,3069167,3072304,3072305,3078936,5068593,7966662,7935985,5046481,3314271,1949697,1113805,1113806,1949699,3078073,3078072,3087307,254177564,1796629,1796628,1778532,1778531,3052810,4516751,5077810,7171572,7171573,5063711,3068112,1788540,1019785,574643,321651,177846,177845,321648,574633,1019765,1788506,3068061,5063654,3086144,3063950,3063949,3091458,3063062,3063061,254562815,7958201,5061970,3066883,3066884,5061974,7948457,5054868,4517167,2714811,2714808,4517157,254564325,5077076,7977769,268100769,23244779,30662302,267993138,30685897,23269150,254180282,11919271,16993054,11917424,7972178,6873325,6873324,5870704,3665684,3665685,5083515,3083254,3083255,5083518,7987385,11910329,11910330,16996015,16728175,11883016,7944286,7944285,11881282,7942909,7942910,11881284,254577868,254567568,11880242,8203132,8203134,11902452,11902451,12012216,12012217,17098486,254385862,23341525,22963766,16727149,11883024,11883025,15980795,11094075,7357624,7357623,11094073,15514174,17014071,11928934,7982302,7982303,7977906,5077174,5077173,7791667,4940229,4940228,7791662,11684533,16727255,22963825,23284059,23248920,23248921,17010073,17010072,254165682,11882054,7943514,7943515,11882055,7945653,7648835,7648834,11499307,9167755,9167757,11918953,11918951,10834741,7162102,7162103,10834746,8001614,5093953,5093950,5083172,3082997,3082996,5083168,7986916,11934410,10438401,6881308,6881307,7962942,5065670,3069817,3069815,5065660,7962914,7958648,7958642,11900321,11902065,11902066,16987255,16985218,16982718 Dl.O(d2) = 73172445,60425646,257004913 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8104222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8109995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2592459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6709753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8432088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2911941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 487665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13244539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2853553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10188890, s2 = 2191791, int(edited[s2]) = 0 s1 = 10188890, s2 = 2191791, d1 = 4, d2 = 3 Dl.O(d1) = 257468262,60485484,60485483,73232390,86845510,100826756,114877414 Dl.O(d2) = 99565196,269322044,99565201,255853386,59290049,47894278,37976543,29413202,29413205,36790342,30360762,22959418,22959417,20317986,20317987,27250660,29805445,38377315,255853378,46946545,37067298,28565453,21338463,21338461,28565447,37067294,46946541,58313149 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14481327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14481327, s2 = 8341104, int(edited[s2]) = 0 s1 = 14481327, s2 = 8341104, d1 = 28, d2 = 25 Dl.O(d1) = 100830323,258220886,86849299,268664956,255536824,30559975,23142996,16882956,16882957,23142998,255536828,58302831,71017965,73261920,60516251,49113837,49113836,60516250,73261918,63114599,258348023,51417805,257734491,41221215,256083415,18295091,18295093,23359665,255229019,8840369,5761314,5761313,8840366,12986000,18295098,256595299,51417814,63114607,76120114,63114596,51417803,41221217,41221218,257734493,61217633,49739408,39721200,31043629,23560751,17250524,12131420,12131419,17250517,23560739,31043620,28101818,20925933,15018102,15018103,20925935,28101820,36573235,46438059,46438060,57793245,70493863,259259071,111830317,100537249,86576090,86576089,100537248,260648241,141068917,141068916,127718100,113847158,113847159,113847161,99831176,85877306,72285253,72285254 Dl.O(d2) = 60485491,49081968,39151803,30553848,23135971,23135970,30553847,39151801,49081966,60485489,73232399,86845522,100826766,114877421,261236619,100826764,270351557,60485488,73232398,86845520,86845519,87571950,87571949,73973734,61195257,49716632,49716631,39697918,37912172,31020916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14481327, s2 = 8341104, dlinesl.size( ) = 10 s1 = 10176322, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13972145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14565289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14565289, s2 = 6672481, int(edited[s2]) = 0 s1 = 14565289, s2 = 6672481, d1 = 9, d2 = 7 Dl.O(d1) = 81087713,72700318,59962438,59962437,71354252,58617013,47223730,256433764,21516319,15505656,15505657,21516321,28779260,37314854,47223735,58617021,71354260,71354268,84931237,98858438,98858419,98858407,84931212,84931213,84931233,98858434,112846971,112846974,126698952,261665035,140046278,140046277,260854416,139581496,261301138,123770519,109580066,270663635,81265070,95324688,95324691,81265076,67796988,55455043,44606439,35225592,27131673,27131674,35225595,44606447,53086523,53086525,42638101,33612119,33612118,42638100,42638060,42638061,40228426,31542032,31542031,40228424,50248262,61726647,74507522,65069335,65069334,78348194,78348198,92380240,87836554,87836555,101810245,88118586,88118587,92380274,92380275,106683162,106683131,92380235,78348140,78348141,92380236,268439274,55455058,256011004,81265098,95324719,109580095,115856391,101810224,101810225,87836533,74231852,61452686,49974680,43293410,34195794,34195793,39958077,49974677,39958081,267799516,254591550,87836553,101810243,115856379,115856378,115856393,115856392,115856385,101810217,254847144,61452682,49974678,49974679,59474100,48083598,48083599,59474102,72211699,59474093,49974672,49974671,61452670,74231832,87836505,87836541,74231857,61452688,254847148,101810232,101810211,92513022,78473320,78473319,92400679,78365109,78365108,85805849,85805848,74231830,74231829,78473337,65189119,53203847,42754593,33725181,33725180,42754589,53203841,268994052,42754573,33725172,33725170,42754568,257204840,78473261,75654559,62709564,62709563,270450715,103509767,259161193,67663526,55323464,55323465,67663529,81130592,95188962,98858492,112847032,98858609,84931417,84931416,71354472,71354473,257608398,78034473,84931285,71354328,71354329,71354394,58617172,47223895,47223896,58617174,71354398,71354341,58617113,58617114,58617245,71354432,271309161,112847129,98858618,98858619,112847077,98858614,84931419,84931420,84931288,71354332,58617096,58617097,71354333,71354481,58617252,47223973,37315131,37315130,47223971,58617249,71354399,58617176,47223898,37315038,37315037,44477212,55323450,47223909,37315046,37315045,47223908,58617179,58617118,47223829,37314926,37314927,47223831,47223835,58617121,47223834,47223833,37315066,28779461,21516490,21516491,21516501,15505822,15505823,21516503,28779473,37314943,28779333,28779334,37314945,37315091,37315090,47223930,47223825,37314924,37314925,37315099,255841411,21516591,21516522,15505835,254737185,4460552,2679644,2679645,4460554,7084790,10723487,15505687,10723375,7084722,7084723,10723377,15505693,15505808,15505810,15505775,15505777,255841391,21516443,21516444,28779409,255841375,21516335,15505963,15505708,15505709,21516381,21516382,15505710,10723417,7084754,4460537,2679628,2679627,4460534,4460599,4460600,7084867,268616450,7084844,255039937,15505890,254737189,7084811,10723528,15505888,21516580,21516688,21516687,28779586,21516614,15505918,10723588,10723587,15505975,15505735,15505736,255841387,21516590,15505895,10723531,10723530,15505891,21516584,28779557,37314993,256874373,46639789,36753604,36753603,44827209,44827208,46639791,36753610,28258590,28258589,256832547,40602605,50652620,62161602,50652615,40602603,40602604,50652618,62161607,74973243,70698654,270280495,58013897,54706433,43962667,34687422,26692960,19873110,255732433,34687424,43962668,54706430,43962665,34687418,26692957,26692958,268331189,14238484,9787949,6434865,6434864,9787946,14238480,255732437,31030879,31030878,39707845,34687453,255732439,19873125,21453526,21453527,28708265,37238870,47144090,58532423,71264220,84838447,98765810,112755934,112543028,258671270,257436676,46976033,39167544,39167545,46976030,39167547,30569667,268658227,49097774,60501432 Dl.O(d2) = 257179928,62200371,267928384,12742860,8659789,5633275,5633272,8659785,12742849,17453387,22724976,23392025,22729345,22729342,22729393,16524013,16524016,18712020,25284985,27275316,254484718,14597136,254295752,6604444,6604446,10050683,10786456,14596362,10043599,6600237,4134905,2473494,1429827,813441,813436,1429812,2473459,4134856,6600159,10043475,10333778,13305109,254438496,25270030,254998472,16260580,16260581,22427338,21841047,21841044,15777664,10929325,7230419,4557130,4557129,7230418,10929324,15777663,21840560,21840559,21841097,21841098,29143957,21846212,15775745,15775744,21846211,254230656,47638007,59039923,71781722,85371019,99315815,113319429,127178993,140525788,153208146,258715310,175759040,185271298,187018276,177742145,167247306,155616178,143065601,129733999,129734000,272520837,125996870,125996869,139347201,125996868,112160713,112160714,98799901,84871222,71296869,71296868,84871224,98799902,112792672,126651489,140006817,141553447,134988819,121180158,121180157,121180156,106913358,106913357,106913360,92594778,78547214,65256968,53267224,53267225,65256970,78547218,92594783,106913368,106913367,92594782,92594781,106913365,259106616,148111147,149175001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14565289, s2 = 6672481, dlinesl.size( ) = 10 s1 = 6710168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8111526, s2 = 14034756, int(edited[s2]) = 0 s1 = 8111526, s2 = 14034756, d1 = 13, d2 = 11 Dl.O(d1) = 259031038,31255236,31255247,31255248,31255275,255516080,12295449,12295448,17442451,18876447,13451514,9199022,9199020,13451509,12295440,8304386,5358162,5358163,8304388,12295444,16843427,11779144,11779145,16843429,16843475,23099726,255961104,44376812,49042545,255131622,39112862,254372398,30533865,23115356,16856200,16856201,23115360,30533868,39132425,49042510,39112824,255131632,23099660,16843480,11779174,7864658,4992137,3015906,3015905,4992133,7864652,11779159,16843441,11779151,7864650,254810553,16843436,23099668,30515588,30515581,30515582,256461992,39112845,39112844,39112833,39112834,49042520,60446275,60446289,60446266,49042516,49042517,60446269,73192677,86804707,76267312,63248610,51532208,51532207,63248609,76267311,86804726,86804725,86804743,73192722,73192723,268825194,73192692,60446293,60446294,73192694,76267309,76267308,90079123,90079117,90079116,86804722,257303764,269190160,86804724,91735443,256200608,63248620,63248619,76267298,76267297,90079112,84596121,77807788,77807787,86876210,73264124,60518843,49117137,269840175,258298942,128804693,142159200,132186666,119977383,119977382,119977375,119977376,133562793,133562792,133562788,133562789,133843692,119977391,105742759,105742760,119977394,115287719,115287721,122948231,108683141,270111572,71185514,71185513,84754213,98681475,112675879,112659607,98663631,84733804,71163578,71163577,84733803,84733830,71163605,71163606,84733832,80340265,66913837,66913836,80340262,94394643,256725062,257887044,112659629,112659815,112659816,259135032,71163705,71163704,84733975,98663844,98663820,84733956,71163687,58441508,257887050,58441521,71163708,84733980,84733988,98663857,112659854,126523733,112659773,112659772,126523731,126523740,126523756,259763896,259912598,98663760,112659738,126523688,126523590,117393282,117393283,112659731,260526033,115005337,259135022,257887042,81039836,67570958,55227868,55227867,66913835,255315876,256202052,95098294,81039838,258506152,71163709,84733985,98663850,112659844,98663859,98663857,112659854,126523733,112659773,112659772,126523731,112659792,112659795,112659822,257887054,98663726,84733880,71163640,71163641,84733883,98663732,112659700,98663801,84733942,71163678,58441501,58441500,62508277,75427252,67570952,55227865,55227866,67570954,258506146,67570960,67570959,268813194,108681710,95098296,95098295,108681704,94394650,94394652,108681709,103264333,258506166,258666416,50907880,50907878,62508273,75427248,89174710,259314558,62508269,75427246,89174707,260184213,123545485,261548853,152597155,139888205,126523780,112659849,112659848,126523778,139888203,139888168,126523687,112659720,98663743,98663644,84733818,71163593,71163594,259924605,126523599,126523666,126523663,126523662,126523772,123545491,123545493,112659797,98663807,84733944,84733943,98663802,98663715,84733875,71163637,71163636,84733873,98663711,112659680,126523648,260972566,126523639,112659668,112659663,259293128,84733864,98663700,112659665,112659686,126523659,139888151,152597128,139888154,139888155,134018610,120185439,112659667,98663701,259924609,126523638,139888149,259763910,112659705,98663737,84733887,84733886,84733924,77867712,77867713,91790373,105985077,120185438,122200691,122200692,136163295,126523749,112659801,112659800,126523747,120185436,105985075,91790371,91790370,105985073,271146108,120185453,112659703,112659704,120185430,105985066,105985067,105985083,105985082,105985089,120185448,134018616,139888187,134018606,260289661,91790368,91790369,105985071,105985063,91790360,77867700,64677687,52762696,52762697,258420567,64677689,64677690,77867717,91790378,105985084,120185445,120185458,105985108,91790401,91790367,77867709,64677683,52762693,42363178,269087959,64677678,77867702,91790363,260289659,91790389,77867733,77867732,77867720,64677696,64677697,77867722,64677698,64677699,77867704,77867718,77867724,64677700,52762705,52762704,52762710,42363191,42363192,33374406,33374407,269087961,52762756,52762757,64677736,64677703,52762708,42363187,42363188,257804495,42363195,42363196,52762714,42363242,33374409,25609591,18996829,255675425,33374339,33374340,42363200,268496781,25609583,33374393,42363190,33374336,25609546,18996806,18996805,18996816,25609566,25609572,18996819,13556841,9281355,9281356,13556843,18996823,25609580,33374371,33374370,42363236,42363247,42363210,33374386,33374385,33374355,256656873,33374421,25609602,25609603,33374423,42363208,33374346,255675421,255675419,256656867,52762719,64677711,66879426,66879200,54621411,43879053,43879054,54621413,66879204,80308659,270917490,43879067,34608268,34608267,43879060,34608264,26619983,19810340,14190068,14190069,19810343,26619991,34608277,43879058,43879335,34608541,26620215,26620216,256722755,26620218,26620219,34608546,43879070,43879071,270917494,80308877,66879424,54621658,54621657,66879197,64419675,52545566,52545565,52545588,52545587,43879050,43879049,54621405,66879196,270633157,65042844,53059925,52545572,42186852,33226654,25478268,18876441,18876443,25478274,33226662,42186866,52545589,64419699,72070909,72070908,64419686,257201447,33226656,33226657,42186858,52545581,64419690,77588375,77588376,77588387,257791789,258407001,91519279,99607526,85658007,85658006,77588389,259034037,91519285,105742770,99607524,85658044,72070950,72070951,85658013,259362166,59336645,47944821,38030971,29468353 Dl.O(d2) = 47944775,59336603,59336614,258738835,85658020,72070930,59336630,47944795,47944796,59336632,59336650,59336626,59336625,59336628,47944793,47944794,47944818,38030968,29468351,29468350,268939549,59336653,72070957,85658021,99607533,85658041,72070944,59336640,47944800,38030957,38030956,47944798,59336636,72070936,65529834,65529835,72070948,85658042,85658039,85658038,91519282,99607544,99607545,92978043,85658016,72070924,72070925,65529836,53504303,53504304,65529838,78865958,92978047,85658029,85658028,85658026,72070933,72070934,85658027,99607537,113622269,127495429,140852623,127495430,113622270,113622271,127495432,140852627,153530149,153530150,165322650,176016063,176016061,165322646,153530161,153530160,140852629,261707184,127495422,113622264,113622265,127495424,140852616,153530141,165322644,176016059,185488490,182409710,172458230,172458229,167746607,167746604,167746603,263262859,182409713,263398925,193754632,193754633,195450249,195450245,193754638,185488492,178199837,167746611,156144498,143610282,143610281,156144501,156144507,143610287,143610285,156144506,167746598,167746591,158470696,146106994,132888803,119067938,119067937,132888779,261406329,143610290,143610291,143610263,143610264,156144475,158470694,156144504,143610284,130282890,130282891,130282893,116446036,102353040,88356965,88356964,102353037,260582575,113622258,102353052,88356971,88356972,102353022,88356961,74728766,61935276,61935277,74728769,88356968,102353044,116446024,260749315,136754314,260985592,136754322,122922541,260393838,108657753,108657754,122922535,122922546,122922545,108657768,94370124,80314004,66884913,54627410,43885048,34613801,34613800,43885046,257885261,259133451,108657751,259072860,80313994,66884907,66884908,80313996,94370114,257903540,66884911,80314001,94370117,94370116,80313997,80313998,86495839,72899353,60162575,256160552,86495841,100454474,114479744,122922529,108657748,94370106,94370107,108657750,122922532,258444442,114479742,128356608,128356609,259701676,108657761,122922542,122922530,122922531,122922527,260393836,143508072,130177013,116337176,102241745,102241744,116337174,108657755,105917227,105917228,120129331,105917209,105917210,120129333,130177012,260256458,105917222,91709890,91709889,105917220,105917230,91709899,91709900,105917224,91709892,77782250,77782241,77782240,91709883,260286251,133971439,133971446,133971438,120129328,259379246,91313988,77395058,77395059,270322714,119765429,120129329,105917211,91709907,77782266,77782254,259043509,77782247,77782235,64599365,52698746,42311802,42311801,52698744,258416573,64599369,52698749,42311820,33331561,25571768,25571769,33331562,42311812,33331546,269400622,13526993,13526992,18962626,25571767,33331560,42311823,52698772,64599360,257756484,33331552,33331550,33331549,42311815,257167796,77782253,77782261,64599417,52698793,42311836,33331569,256653619,52698790,42311841,33331571,33331570,42311838,52698795,58350550,46981154,255239966,42311818,42311819,52698767,64599392,77782260,64599425,257167794,258370778,52698804,52698797,52698796,64599398,64599397,77782265,91709905,101131816,91709931,77782289,77782290,91709933,91709928,91709927,91709941,105917259,105917233,105917232,105917256,101131793,87133611,73514888,73514889,87133613,101131797,115209642,129141237,115209653,109806285,95603958,81570521,73514905,60765873,60765874,257380408,101131821,101131804,87133620,73514893,60765867,60765866,73514891,87133616,101131801,95603959,258614748,258614752,60765877,49362929,39433795,39433796,268596122,73514917,87133655,90452077,104615236,101131814,101131815,101131823,87133646,73514909,73514908,87133644,100373390,101131811,101131810,88250333,74619571,74619572,88250334,102249714,116345375,114396488,100373391,259153140,128272571,258523894,100373399,100373398,257930704,123545138,109352777,109352774,109352775,123545137,122922500,122922501,122922495,109352780,95098016,95098017,258523900,64335517,64335516,77499886,257903528,119896636,257903526,108657706,94370064,80313953,66884877,66884878,80313954,94370066,94370081,80313964,66884882,54627383,54627382,66884880,80313959,94370073,108657714,100266876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8111526, s2 = 14034756, dlinesl.size( ) = 2 s1 = 8111526, s2 = 14034756, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8111526, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 10275629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10255119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10255119, s2 = 7931355, int(edited[s2]) = 0 s1 = 10255119, s2 = 7931355, d1 = 28, d2 = 26 Dl.O(d1) = 58006286,268380082,255024202,10427764,10427766,12269238,12269240,17409636,16556283,11540037,7677350,7677351,5368937,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281314,12262707,15070051,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103170,1549983,881199,881196,1549972,254335795,256331541,257452593,255953993,16744724,16744723,22982099,30384391,38970704,48890786,60284306,271347115,199850144,192579501,264618196,111914175,97976311,84102192,258015117,46507832,258639587,97976312,100155829,86193180,86193181,100155831,259403795,86193179,72595934,59858368,48467427,38554783,29985358,22618107,16433425,11448542,11448543,255483515,29985362,38554785,48467428,257545691,257545689,72595932,86193188,86193172,72595923,257545685,38554774,38554773,48467419,59858363,72595920,72595928,59858366,258154703,86193181,100155831,259403795,86193179,72595934,59858368,48467427,38554783,29985358,29985357,271765022,86193189,100155830,86193180,86193181,100155831,259403795,86193179,72595934,59858368,48467427,38554783,29985358,22618107,16433425,11448542,11448543,255483515,29985362,38554785,48467428,257545691,38554780,29985355,22618106,16433422,16433421,22618104,29985352,38554777,257545687,72595930,86193184,100155833,114186212,114186214,260021305,86193177,72595925,72595924,86193175,100155823,260021307,72595931,72595932,86193188,86193172,72595923,257545685,38554774,38554773,48467419,59858363,72595920,72595928,59858366,258154703,86193181,100155831,259403795,86193179,72595934,59858368,48467427,38554783,29985358,22618107,16433425,11448542,7614106,4817292,2903083,1684117,1684118,2903085,2957742,2903152,1684156,957656,539658,539656,957651,1684149,2903137,4817393,7614241,11448712,11608594,7728395,7728394,255118743,22868571,30265042,38848903,48768693,60163051,72899832,73278195 Dl.O(d2) = 257199882,16924170,21679694,21679692,256345117,28953205,37495782,28953295,21672980,15635529,10819966,7150727,7150728,10819968,10823047,11844908,11844906,15638728,15638727,16924114,16924115,23190898,30610399,39206517,39957647,31282737,31282739,28959282,28959284,22074835,15969404,15969405,22074837,24300892,24300891,21672934,15635491,10819941,10819942,15635495,21672944,21945263,21945262,29267454,23424085,23424087,21679391,15640091,10823037,10823036,15640087,21679387,28953303,21672985,15635532,15635533,11844900,11844897,10489497,10489496,15206939,12092753,12092752,17197262,23480294,29405518,22074844,22074843,29405516,29405602,29403768,22073376,22073375,22074851,22075050,22075049,22074828,15969400,11084585,7350581,4642994,4642995,7350584,11084589,11084642,7350615,7350614,11084638,15969475,22074938,29405595,37969656,29405675,22075031,15969535,15969534,22075029,29405613,28961344,28961343,37504431,46756076,36877300,28380919,21163439,21163440,17197275,12092759,8132246,6916492,6916490,10489492,15206934,21163430,28380901,29405605,22074949,15969490,11084652,7350620,7350621,11084657,15969423,11084598,7350592,4642998,2796707,1622287,922526,922527,1622291,2796715,4643016,7350638,11084687,15969549,22075045,22075044,23480299,29405611,22075024,255073657,11084678,15969532,22074967,21673190,21673189,22074922,15969461,11084631,7350609,7350607,11084625,15969459,21163425,268082340,10489490,15206929,21163421,28380899,36877277,46756062,37969670,29405627,22074979,15969508,15969509,22074957,22074902,15969447,11084674,11084673,15969515,22074991,29405638,256380287,22075641,22075642,22075661,15970077,11085088,7350954,4643270,4643269,7350950,11085083,15970067,21163876,28381321,29405664,29405665,28383789,28381324,28381322,36877468,36877460,28381102,21163631,15207124,10489643,10489642,15207121,21163624,24300748,31816584,36862354,37969626,46743699,36862343,29406159,29406158,36874969,36874970,37970036,36877071,36877073,36877487,31816515,24300642,17917463,17917461,24300638,28364043,21148179,21148178,21163708,15970054,11085124,7350975,4643279,2796916,2796915,4643266,7350943,11085073,10489888,10489890,15207349,21148161,15194844,15194845,21148144,15207396,15207398,15207379,10489917,10489918,15207387,15206538,10489116,7350891,4643240,2796893,2796894,4643243,7350897,11084984,15969935,22075510,23422653,23422656,28379178,28364110,28364108,21161750,15205371,15205369,21161762,28378598,21161147,21161148,15206721,10489319,6916318,6738499,4222355,2524704,1455022,1455021,2524696,4222339,6738483,6918066,4346013,2602743,2602746,4346020,4642711,4344793,4344792,5190009,5190010,6918038,6918035,4346002,4346003,6918049,10491238,11085210,7351033,7350814,6915805,4343913,2600945,2600946,4343918,6915821,4344775,4344774,6916728,6915295,6915296,6916261,6916265,10489255,6916687,6916676,4344642,4344640,2601500,2601501,4344634,4344635,6916670,10489709,8101089,5190167,5190168,8101093,6916358,4344375,4344374,4346026,4346027,2796420,2796419,4642670,5190013,3166581,3166580,3166585,4344719,6916775,10489819,10489354,10489353,15205178,15205180,15206863,15206736,10489337,10489336,8101110,5190180,5190179,6916279,4344316,2601261,1500778,1500777,2601256,4344309,6916270,4344652,2601495,1500945,850693,850694,1500951,2601507,4344630,6916663,6916482,6916481,6915699,6915700,6915520,6915499,6915498,6915000,4343266,2600513,2600514,4343270,6915007,10487738,6915553,4343703,4343704,4344613,6916648,10487401,6916348,6916346,8101069,8101071,6916420,4344428,4344427,4344368,2601307,1500801,850602,850604,1500708,2601138,2601236,1500772,1500773,2601243,2601250,1500995,850712,480468,270425,270426,480473,850719,1500495,1500496,2600809,4343752,3166641,3166640,2600348,2600350,4343008,6914699,6916138,6916137,10489125,10489653,6916614,6916613,255019159,15967513,11082926,7349108,4641714,4641713,7349105,6914753,4343070,2600998,1500611,850494,480362,270384,267743755,850484,519805,291419,270340,149882,149881,270337,480279,850362,1500365,2600589,2796254,4343303,2600533,2600534,4343306,6914695,4343002,4343001,4344485,2796272,2796271,2601776,2600734,1500451,1500450,1603293,1603294,2765893,2601192,1621561,922053,519789,480450,480449,850617,1500827,2601345,2601078,2601075,1621615,922085,519811,291422,291425,519828,331724,182681,182680,270564,270565,480727,480747,270578,149992,149993,270582,480548,480546,850835,850980,480627,480626,850975,1501415,2602120,2600578,2600579,2601392,2601391,4344481,6916486,6917310,5191137,4345669,4345668,4643172,2796848,2602305,2602304,2601672,1501076,850763,480495,267739463,149923,161286,88668,88655,48743,27242,27243,48747,88661,161270,291491,480638,270514,149962,82499,45141,25072,14025,14027,25079,31188,31187,55297,100261,182814,331878,182764,182765,331882,595231,1058514,1058521,1622049,1622455,2602433,1854598,1500869,850644,850643,1500866,1854606,3167745,4346116,4346115,6918164,4346480,2603018,1502050,1502051,2603023,2796119,2602055,1501356,850941,480607,480606,850936,1501351,2602052,4345270,3167630,1854507,1058472,595205,331863,182757,100238,100239,182759,331867,595215,595372,254259893,5191222,3477310,3477309,4345888,4345765,3166887,3166888,5190403,4345295,2602077,1501371,1501370,1058154,1058155,1501322,1501330,850925,480599,270496,270497,480601,850928,1501336,1853947,1853948,2602255,2602256,4345268,3167034,3167036,3167116,3167629,2602010,1501319,850918,480593,480594,595212,1058479,1058486,1058485,1854529,3167646,5191260,5190858,3167243,2801977,1625372,924201,924200,924742,1626272,2803361,4653338,7365913,5191253,4653345,4653344,3477307,2063295,2063293,3477305,5601639,4345238,2602019,2602020,1502072,1502071,2603051,4346523,4652262,4652264,4651622,4651621,7364084,4652911,2802997,2802309,1625595,1625597,924654,924656,1058105,1853937,3166858,3476847,2062958,2062959,3476850,3167079,3167078,5190646,7365757,4653155,2803221,2803222,4653161,4651633,4651632,2801975,2801974,4651640,7364104,11104301,11104996,7364728,7364725,7365830,7365831,7449909,11227617,16160020,12685809,8616785,8616783,12685805,8617792,8617791,10492340,7365692,5190637,3167054,1854063,1854064,3167059,5190641,7364769,4652247,2802516,1626027,924599,521220,292172,292173,521224,924612,935361,527147,295355,295356,527152,935371,1644944,2835472,4706897,4706957,7449818,8617798,11104962,7364686,4652172,4652171,5602407,5602409,3484135,2068740,2068741,3484116,4652841,4652840,5609794,4706832,4706833,5602346,3478082,3478083,3484151,3484152,4653072,5601506,3477176,3477177,5601508,3479328,2064875,2064874,3479324,2802953,1626020,1626019,1626032,924601,924602,1626035,2802980,2835462,4706875,7449722,8618666,8617762,5602315,3478064,3478065,5602317,8617763,11105980,11105928,7365612,4652988,4652986,5609814,3484141,2068745,1187744,667280,667279,1187742,2068736,3484128,5609799,3484157,2068753,1187748,667283,667282,1187745,2068748,3477182,2063205,1184113,665136,665137,1184116,2063208,3477187,3477366,2063333,2063332,3477146,2065286,1185399,1185398,254284281,3479836,3479835,5604436,5601882,3477557,2063505,2063506,3477560,3477567,3478203,5602470,5609885,5603111,3478697,2064388,2064389,2064293,2064291,2063999,1184587,665404,665406,1184594,2064007,2065085,1187757,667291,370174,370175,667297,1187764,2068775,3484187,4321752,6884549,5603903,5603350,5603349,8617553,5610610,3484791,3484793,3480627,2065871,2065870,3480621,3483244,2067871,2067873,3483249,3476998,2063518,1184304,665229,665228,1184300,2063510,3477571,3484223,2068818,2064674,1185036,1185011,1185012,2064630,2064032,1184606,665411,369068,369069,665414,1184610,1187785,667313,370187,202685,202684,370182,667307,843604,1490080,2585230,4321755,6884553,8617599,5605089,5604396,5604397,5609050,3483381,3483380,3478099,2063949,1187057,666883,666882,1187055,1187296,2068191,3477546,2063500,1184295,1184294,2063499,3477542,5601866,5608865,3484224,3484225,3478951,2064634,2064635,2066847,1186383,1186384,2066850,3478185,3484249,2068833,1187794,667320,370193,202691,110550,110551,202696,370199,667329,1187708,667262,667263,1187711,2068681,3480192,3480190,254422411,1185321,665813,665812,1185318,2065144,3479654,5604243,5609955,3484286,2068858,2068709,2068710,3484090,254284445,1186408,666490,369687,369685,254140415,254284441,5607218,8624090,5607227,3481979,3481978,5607225,8624099,8624118,12694679,17917626,12694586,8623984,8623983,8624021,8624020,5607262,3482009,3482010,5607265,8624124,8623892,8623890,5607163,5607162,8624030,12694633,17917682,12694650,8624046,8624047,12694657,17917698,21679160,17917668,12694613,8624005,5607143,3481909,2066825,2066823,3481903,5607136,7152553,7152552,7152588,4504283,2706801,2706800,4504279,3481884,2066818,2066819,2066797,1186354,1186355,2066801,3481865,4504254,4504253,4504526,4504524,7152884,10823113,15639913,15639912,10822942,7152692,4504359,4504356,7152687,10822878,7152725,4504390,4504391,7152730,10822999,12694516,12694517,15639890,21679163,21679155,15639901,12694529,8623925,8623924,5607130,3481898,3481899,5607134,8623997,10822840,7152831,4504471,4504271,2706795,2706796,4504274,7152583,10822867,8623938,5607075,3481851,2706788,1568609,1568608,2706785,4504265,7152572,7152594,7152623,254743537,7152636,7152694,4504363,2706866,2706867,4504367,7152662,10822912,7152720,7152600,4504292,4504291,7152597,10822879,15639888,10822990,10822991,10822891,7152607,5607070,5607069,8623929,7152644,4504324,2706835,2706836,4504326,4504335,4504336,7152653,4504370,4504371,4504473,2706968,1568733,1568734,2706791,254161235,503368,503369,892023,1568614,2706805,254507747,4504313,2706863,1568651,1568650,2706849,1568644,1568645,2706852,4504344,7152673,7152290,7152291,7152315,10822471,15639402,10822918,10822916,10822892,7152612,4504301,4504302,7152615,10822895,15637247,10821052,7151436,7151437,7152657,4504338,2706872,1568657,892047,503382,503383,892049,892105,503416,282338,282337,503412,892097,1568729,1568795,1568640,892035,503375,282324,282323,503372,892031,1568634,2706832,2706643,1568507,891958,891961,1568509,1568494,1568496,2706631,2706650,4504078,7152320,10822491,7152605,4504296,2706955,1568720,892090,892091,1568725,1568744,1568745,2706977,4504482,268212303,37504735,255981068,13305659,18698643,25055421,18517775,13157086,8967913,8967914,6428057,6428058,4636244,4636245,7339927,7348735,7348734,255073467,15959220,15959221,22063757,22067950,15963115,11079291,7346548,7339869,4636217,4636214,2792719,1619977,1619978,1619986,1619989,2791920,1619594,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,7338811,6025632,6025629,9203682,13458659,11068705,7339311,4635903,4635906,4635932,4635936,7339396,11068825,15950027,268253610,15934309,22036016,29366697,37933223,37961738,29397323,22066919,22066918,22046767,15943745,15943744,22046763,29377292,37942785,255882968,37948394,37946001,37946000,47859891,37948262,37192767,37192768,37456031,28916638,28916637,22274164,16131976,11206374,7435714,7435713,11206373,16131973,16131946,11206356,11206354,11204652,7434671,4698017,2830566,2830567,4698020,7434682,255083657,16129581,255739351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10255119, s2 = 7931355, dlinesl.size( ) = 18 s1 = 10202556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9337682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9337682, s2 = 11116582, int(edited[s2]) = 0 s1 = 9337682, s2 = 11116582, d1 = 29, d2 = 28 Dl.O(d1) = 271045132,65197089,72713464,59976521,59976520,70536581,64251504,52396041,48584846,48584847,59976567,72713526,59976609,48584874,38668795,30091693,22710141,22710140,30091691,38668794,48584871,268964034,86310477,100271985,100271984,114301735,269833602,256998808,59976596,72713550,86310458,86310457,86310428,86310429,86310431,100271893,100271958,114301717,100271964,86310439,72713532,59976580,258787191,86310481,100272006,92521065,92521064,100271980,100271981,114301720,100271961,86310436,86310435,88251247,88251249,102250744,258810474,86310456,86310455,100271983,100480899,86522533,72924270,72924271,259028502,47797450,37873142,37873143,47797453,59197502,71937009,64335546,255259866,91431039,99471572,112768943,98779029,84852346,84852343,71278375,58546874,58546875,60184963,60184973,60184972,61895236,65060175,78339001,71278391,71278392,81340253,71278386,71278387,84852356,95389498,109632241,95389489,81340247,81340246,72616317,72616318,86214791,100178513,109632244,109632236,95389483,95389482,109632234,109632243,109632242,123812253,261566397,128099439,128099440,139978411,126624381,112768973,98779053,98779052,112768971,126624378,139978406,141465135,152676785,152676784,159461384,159461385,152676793,139978403,260534890,114210834,128099463,141465154,154135067,165899195,158654288,158654287,167169579,167169580,170799516,170012749,170012748,180179316,170799507,159461402,147087133,133843357,133843356,147087143,159461413,170799515,163614349,151737791,151737792,262623405 Dl.O(d2) = 258049295,58380232,258267212,83916355,70390283,57696381,46347202,38153077,38153078,48065950,57696373,46347190,46347191,57696374,57696410,63124520,76129984,258945838,258142477,48293106,38382339,29810136,29810137,36844763,28347239,28347237,36844759,46727870,48293035,256410662,44779103,44779102,49041199,60444939,72325327,61331660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9337682, s2 = 11116582, dlinesl.size( ) = 8 s1 = 2598314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2598314, s2 = 6053824, int(edited[s2]) = 0 s1 = 2598314, s2 = 6053824, d1 = 3, d2 = 46 Dl.O(d1) = 73295544 Dl.O(d2) = 266608988,241081280,241081268,266531232,266531234,239549031,239549032,240099139,240608717,241081268,266531232,239548987,238953104,238953103,238953155,238953143,238953142,239549032,240099139,240608717,241081268,266531232,266531234,238953151,238304901,238304900,238953149,239549037,240099140,240608718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2598314, s2 = 6053824, dlinesl.size( ) = 2 s1 = 2598314, s2 = 6053824, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2598314, Dl.E( ) = 48, 3.6e-05 seconds used appending s1 = 8360232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2633256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2633256, s2 = 6921605, int(edited[s2]) = 0 s1 = 2633256, s2 = 6921605, d1 = 7, d2 = 7 Dl.O(d1) = 74342669,87945090,101917520,114948908,100895991,86915070,73304445,60560659,49160893,257595837,73304448,74227661,74227660,260116279,129752346,261828789,273576135 Dl.O(d2) = 74342669,87945090,101917520,114948908,100895991,86915070,73304445,60560659,49160893,257595837,73304448,74227661,74227660,260116279,129752346,261828789,273576135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2633256, s2 = 6921605, dlinesl.size( ) = 2 s1 = 2633256, s2 = 6921605, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2633256, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 9700660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9530684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6710905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6710905, s2 = 14278305, int(edited[s2]) = 0 s1 = 6710905, s2 = 14278305, d1 = 15, d2 = 30 Dl.O(d1) = 257597677 Dl.O(d2) = 258715650,72096696,256901926,29498058,23762562,23762563,255498269,11584792,11584791,16038142,11136092,11136091,16038137,22159265,26151795,19453085,19453086,15440555,10674805,10674806,15031458,10359287,6823211,6823209,10359283,11136226,7386551,4666481,4666484,7386557,11136231,16038180,22159310,22159309,24829751,22115649,16002920,11109954,11109912,11109913,16002865,11110062,7368535,4654952,2804404,1626876,925102,521473,521474,925108,1626891,2804431,4655182,4662767,7380570,11110093,11090970,11090971,11090977,7386223,7386225,11110620,11110621,16003883,22116697,29410647,255498300,38012443,37381364,37381362,37358515,28818775,28818774,37358513,47268479,47973387,47926312,47926310,59319296,49982424,49982422,49244657,39965914,39965913,48727434,47292598,47292596,58683533,48859436,48859438,256517252,71802472,59061823,58245645,46878652,37000333,29386634,29386635,37951232,30019408,30019409,23457181,17179037,12078832,12078831,17179031,23457170,26151012,33992474,39271526,30675057,24000698,17656466,12485818,8456924,8456923,12485810,17656446,24000674,22115991,16990052,16990051,19452573,19452572,26151035,33992500,38592027,38592031,38601863,31290790,23804280,17470967,16995580,16995579,23258827,30675106,39271583,49197815,49197816,48506880,38591990,30019414,22646916,22646917,30019416,30019163,22646733,16455975,11465707,11465704,15495965,15495967,21503650,28763461,31115248,23628635,23628633,17312664,12188163,8218407,8218406,12188160,17312659,23628644,31115263,38591907,30019330,30019329,38591904,255561336,256517232,257646364,272570017,263174473,194207853,185992184,176568898,261286810,140971326,127621499,260756096,99738173,258296812,257104502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6710905, s2 = 14278305, dlinesl.size( ) = 28 s1 = 13479901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13479901, s2 = 2848599, int(edited[s2]) = 0 s1 = 13479901, s2 = 2848599, d1 = 22, d2 = 29 Dl.O(d1) = 61319005,58262048,258040771,269388576,39752204,49770683,49204379,39277934,39277933,49204376,60605092,49204391,39277941,30681009,23264347,23264346,30681005,39277936,31130440,31130441,257043469,31025652,23544570,23544571,31025655,39702659,257626159,73350171,60605102,60605101,73350169,71916915,59178596,59178595,71916912 Dl.O(d2) = 99501427,111900224,272185827,99348698,85405280,71816588,59075181,59075180,71816585,85405274,99348692,270452267,62743472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13479901, s2 = 2848599, dlinesl.size( ) = 2 s1 = 13479901, s2 = 2848599, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13479901, Dl.E( ) = 40, 1.5e-05 seconds used appending s1 = 8119648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8119648, s2 = 6514692, int(edited[s2]) = 0 s1 = 8119648, s2 = 6514692, d1 = 34, d2 = 17 Dl.O(d1) = 255386516,49217845,60618535,73363300 Dl.O(d2) = 255444766 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8285170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8285170, s2 = 11233266, int(edited[s2]) = 0 s1 = 8285170, s2 = 11233266, d1 = 75, d2 = 96 Dl.O(d1) = 259255558 Dl.O(d2) = 260937712,259722872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8285170, s2 = 11233266, dlinesl.size( ) = 2 s1 = 8285170, s2 = 11233266, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8285170, Dl.E( ) = 104, 2.98e-05 seconds used appending s1 = 14163600, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2602045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2602129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8095297, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10168589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10168589, s2 = 10281694, int(edited[s2]) = 0 s1 = 10168589, s2 = 10281694, d1 = 90, d2 = 86 Dl.O(d1) = 267884718,15585801,10781809,7124015,4485432,4485433,7124018,10781814,15585806,21615478,28891658,37433191,47340789,58728851,71458853,256883178,49114378,49114377,39185597,39185596,30588101,23169937,16906529,11831464,7906817,5025986,3042148,1771500,1009567,1009568,1771502,3042154,5025999,4675268,4675269,7400811,11157917,11158366,8220077,7401382,4675607,254525533,11158796,8220203,8220204,12189895,11967988,11831524,7906862,7400740,7400739,7986362,5082814,5082815,7986364,7401351,4675587,4675588,7401353,8220210,12189913,12189792,8220109,5290125,3241651,1902190,1085841,609738,339217,339218,609743,1085858,1902222,3241704,5290180,5290183,8220183,11157404,11157403,8296114,5351957,5351956,8296109,12284407,17428896,16068540,11157451,11157450,12298117,8305947,7401304,7401303,11158684,16070117,11164057,11164056,11831620,7906926,5026052,5026053,7906932,255135765,12189616,8219985,5290059,5290056,8219981,12189611,12189813,12189812,11831269,11831270,12189817,12189816,17314323,23630189,23630089,23630088,31116515,23630164,255911423,22198526,16069489,16069488,22198049,16069103,16069104,11158197,7401008,4675379,4675382,7401012,7507308,4745540,2860010,2860011,4745544,7507321,11307419,11158373,11158372,12319746,8321356,5369495,5369498,8321362,12298179,11158347,11158346,7401494,7401495,7921785,5036338,4675689,2816817,2816819,4675699,7401536,9229908,11018120,7400920,7400919,7400734,7400730,7502898,11300918,11300925,8220000,8219999,11263764,7477568,4725856,2847439,2847437,4725841,7477539,11263712,16068638,16069547,16068967,11967886,11967887,11158104,7507372,7502667,7502664,7507350,7507349,8321494,8321495,8321271,5369444,5369441,4675799,4675797,7132603,5369566,5369568,8321490,8321318,8321321,8321569,7401500,7401502,11158993,11159091,16070626,11300945,7502910,6591062,4129241,4129243,4675113,7400525,4675399,4675400,7400537,8301680,8301679,7291695,4598154,2766213,2766215,4598156,7291699,11014835,15889492,268222491,29541960,29542969,22199866,22199867,16906489,16906488,23169913,30588082,268244197,17059737,17059671,16070465,15889595,11014905,7291741,4598180,2766231,1603540,1603538,1935821,1935822,3291728,1937355,1937357,3294132,2858168,1658758,1658756,2858155,4742556,7502677,11300539,12292150,8301740,5355744,3291751,3291750,5355736,8301722,12292119,17438417,16203695,16203694,17419392,23744521,23807518,31293100,39967014,31292646,23806942,17473859,12319480,8321191,8321190,12319479,12318725,8320744,5369154,5369153,8320740,12318713,17002941,17002940,17473270,23806394,23806959,30423651,30424532,30424533,31291726,31291727,30672657,30424447,30424448,31291692,23805443,17472267,17472266,23805441,31291690,35173654,29552169,22207448,21543999,21544001,22005734,16777724,11730618,7831707,7404909,4677956,2818190,1634968,1634967,2818186,4677949,7404895,11163730,16076757,22207415,29552139 Dl.O(d2) = 265465816,225065377,222737498,220029065,216822718,212954817,212954818,273919694,222737506,222737534,264860476,227088225,227088224,227088225,264860464,264860466,227088227,228854248,230409924,228854265,227088247,225065378,222737498,220029065,216822710,212954812,212954813,216822711,220029066,222737501,225065381,227088252,228854273,230409950,231792429,233034686,231792412,231792411,233034682,233034674,265631616,228854253,228854254,266364775,236109865,266167094,265921758,230409962,228854293,265082300,222737516,264343364,208223021,263701982,216822713,216822711,220029066,222737501,225065381,227088252,228854273,230409950,231792429,233034686,231792412,231792411,233034682,233034702,265921756,233034688,233034700,265631622,228854284,227088262,225065389,264615892,220029073,264860472,227088264,228854286,230409960,231792438,265921750,231792445,231792444,231792490,230410014,230409986,265282856,225065405,264615894,220029088,222737524,265082302,228854309,230409993,231792464,233034723,266167098,233034716,265921766,266049412,230409991,265631626,233034717,274706159,266465890,237729321,236957057,236109871,266049408,233034703,231792442,231792441,265465826,274427369,264040826,264040824,220029083,222737520,225065400,227088278,228854301,265782958,265465828,228854309,230409993,231792464,233034723,266167098,233034716,265921766,266049412,230409991,265631626,233034717,274706159,266465890,237729321,236957057,236109871,266049408,234157567,266167096,235179322,236109874,236957060,274613116,265782962,230410013,228854319,274528301,233034746,234157591,235179337,236109888,266374376,236957066,236109885,235179334,265921770,274434514,230410006,231792481,233034740,234157586,266049406,231792431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10168589, s2 = 10281694, dlinesl.size( ) = 2 s1 = 10168589, s2 = 10281694, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10168589, Dl.E( ) = 92, 2.6e-05 seconds used appending s1 = 15538827, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2603190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13679769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13679769, s2 = 7136076, int(edited[s2]) = 0 s1 = 13679769, s2 = 7136076, d1 = 167, d2 = 110 Dl.O(d1) = 87007439,260074079,87007438,73391943,60645269,49244588,39317634,30719343,30719344,39317635,257602691,73391946,87007441,260074083,261248033,260673147,115072485,101001154,258833315,60645274,73391951,87007445,260074085,87007443,87007444,260074087,115072483,101001147,260074083,261248033,260673147,115072485,101001154,258833315,60645274,73391951,87007437,73391943,60645269,49244588,39317634,30719343,23302048,17041813,11955223,255142871,23302046,256477463,49244585,257602689,49244587,60645267,258833313,73391960,60645282,60645283,73391962,87007453,73391955,60645278,49244594 Dl.O(d2) = 263077497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13679769, s2 = 7136076, dlinesl.size( ) = 82 s1 = 2921436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8381321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6870061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8521802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9566780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10216672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2923465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2606511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9395334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8522687, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2924463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2924463, s2 = 14064862, int(edited[s2]) = 0 s1 = 2924463, s2 = 14064862, d1 = 40, d2 = 162 Dl.O(d1) = 87090222 Dl.O(d2) = 78320926,258642334,60535480,60535479,73279881,258017744,71863913,59125460,59125461,71863916,78258970,64985715,64985717,78258971,92285614,101826069,99389730,85448925,71863898,59125452,59125454,71863903,85448929,99389735,99956199,85997497,72401084,59665370,59665369,257197096,48966656,48966655,47009717,37122820,28612025,21376542,21376540,28612021,37122812,29914638,29914637,256161050,25519884,25519885,33280133,42259934,36852607,36852606,46734915,58106031,48277518,38365935,38365934,255912033,16260455,11305184,11305183,16260450,22427181,29793138,38365913,48277491,59665357,72401073,259073344,62622855,51000178,51000177,52645639,257538409,48374496,59665391,48277521,48277522,39045383,30456093,23048438,16802958,255512751,30456083,256457623,48966651,60361910,60361941,72401067,72401070,269503312,61774026,50294194,50294155,50294154,40635833,31920196,24387505,268617390,23048429,23048419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2924463, s2 = 14064862, dlinesl.size( ) = 2 s1 = 2924463, s2 = 14064862, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2924463, Dl.E( ) = 226, 6.1e-05 seconds used appending s1 = 9732361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6918601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2925731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8505467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163430, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13257789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9444548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3219120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7007055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6879026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1877030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2609817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13424389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9482395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9482395, s2 = 16214868, int(edited[s2]) = 0 s1 = 9482395, s2 = 16214868, d1 = 6, d2 = 6 Dl.O(d1) = 260794258,128785307,114889435,100839068,86858084,73245198,60498260,49094711,49094710,49094711,39164731,30567057,30567058,23360633,17091890,17091891,19865192,255731623,30785791,23360611,23360610,30785789,30785787,30785788,39155508,39164736,30567060,255200010,11817852,254419710,23129701,16869336,12595305,12595304,17794408,24162006,18577853,13202379,9000277,5875970,5875969,9000273,13202375,17770297,12575522,8529001,8529002,12575524,13202839,12579176,12544160,12544158,14129753,9720662,8582658,8503568,8503570,12544484,17731050,17731049,12609428,12609429,17811084,24179460,25131348,24151895,24151894,31662747,34318792,34318793,267801576,26439635,23026478,254190250,31639667,31703645,24196057,17826826,12622270,12622269,17826822,24196051,31703642,254418922,41294793,32453499,255464034,13009236,254632523,3596075,3596073,5772693,8856935,13009232,18326669,21794484,21794485,29092476,22518276,22518275,29875360,38434488,39359866,49286841,48017510,38107372,29544179,29544178,38107369,48017508,255197462,29668477,38234193,48144397,59531796,268689072,85857646,99810880,99810881,112267991,126127217,112267992,98286125,84376718,70817823,58100675,46728706,36845829,28348642,21135613,15185818,10474840,10474838,15185814,21135606,268607143,257043750,84376712,258857846,260097092,139502070,152233040,164120002,153464603,140784215,140784214,127427924,113556700,99544708,85597458,72010436,72010435,258173394,73538430,60791336,49390765,49390766,58096299,70813347,59274735,47879346,47879345,59274733,72010434,270326444,91274703,77354813,77354812,64207148,52356916,42017777,42017776,52356915,64207146,72484301,59750106,52343546,42004637,42004638,46270931,57615514,70306134,70686459,77354810,64207144,64207143,77354808,72195782,59458058,49746560,39727286,31048362,23564141,17253031,17253032,23564144,31048370,39727001,31845221,24628252,18174973,18174972,17253037,17253038,12889458,8766499,5708240,3552341,3552342,5708243,8766506,12889471,18175050,23828492,17490718,12332347,8330906,8330907,12114062,255155656,31021744,255543602,42656680,33627833,25825855,255127252,13692440,255689027,33627835,36807093,28310262,255808303,15156490,10452652,6890380,6890381,10452655,7506291,7506292,9367882,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,10339840,15009961,20915443,268600871,29026433,29026432,32078690,32078691,25315646,22369533,16215014,11271886,7482517,7482516,11271876,16215002,22369515,22573913,22573912,29936301,22573923,22573922,27272282,20854974,14954087,12853840,8740969,5690528,3540010,3540011,5690530,8740972,12853845,16660271,17064913,23331546,28835458,28089116,28089117,36558491,36766571,28271636,21068797,21068798,28089115,25612142,18999059,18999058,25612140,256657117,42366068,270530109,77355487,64207848,52357651,256634875,13361320,9131473,5975728,5975730,9131478,13361326,18763650,25344348,33074440,30163753,22774462,22774463,16559431,11542406,11542407,15819401,15819400,21898081,29212229,37774157,47695539,41724340,41724339,52039483,51768773,42477421,33483765,32804243,25102342,25102341,255529612,17951324,255143442,21778835,15719790,10883016,10883015,15719787,21778831,17593818,17593819,23937265,31428397,33210045,31428336,23937199,23937200,31428339,25355400,25355401,23764005,23764006,255793649,255793647,35044470,26964205,20079820,14397027,14397026,20079818,20079795,20079794,26964175,25102346,18553792,13183474,13183473,18553790,25102343,32804244,41724341,52039485,63859078,259631171,90849779,99567091,85616438,269804719,29415597,22085238,15978958,11092539,11092541,15978961,255449964,255437580,11128149,7381069,7381070,11128154,10990398,10990397,15846081,10981459,7268727,4583933,2757933,1598875,1598876,2757941,4583955,7268777,10981544,8507774,8507775,12548572,15846208,15846207,21933858,17735570,17735567,16073829,11161809,10258693,10258692,14918888,20815383,21945607,16608274,11583491,11092508,11092505,15978902,22085151,29415503,29925593,28932505,21654971,21654970,28932497,37473964,47381266,254755864,29267761,267827970,255063854,255437437,256149606,37819762,37819761,47742175,256970766,37834725,29268552,21946247,15857106,10990748,10990747,15857100,21946232,29268527,37819985,29254675,255437433,15846014,12490946,12490947,17664097,24011097,29254748,29254747,29272037,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,10992201,15859188,21949107,29271985,37838157,256000321,17325271,255550089,31129543,39811694,257504598,47895876,39811695,39811694 Dl.O(d2) = 260794258,128785307,114889435,100839068,86858084,73245198,60498260,49094711,49094710,49094711,39164731,30567057,30567058,23360633,17091890,17091891,19865192,255731623,30785791,23360611,23360610,30785789,30785787,30785788,39155508,39164736,30567060,255200010,11817852,254419710,23129701,16869336,12595305,12595304,17794408,24162006,18577853,13202379,9000277,5875970,5875969,9000273,13202375,17770297,12575522,8529001,8529002,12575524,13202839,12579176,12544160,12544158,14129753,9720662,8582658,8503568,8503570,12544484,17731050,17731049,12609428,12609429,17811084,24179460,25131348,24151895,24151894,31662747,34318792,34318793,267801576,26439635,23026478,254190250,31639667,31703645,24196057,17826826,12622270,12622269,17826822,24196051,31703642,254418922,41294793,32453499,255464034,13009236,254632523,3596075,3596073,5772693,8856935,13009232,18326669,21794484,21794485,29092476,22518276,22518275,29875360,38434488,39359866,49286841,48017510,38107372,29544179,29544178,38107369,48017508,255197462,29668477,38234193,48144397,59531796,268689072,85857646,99810880,99810881,112267991,126127217,112267992,98286125,84376718,70817823,58100675,46728706,36845829,28348642,21135613,15185818,10474840,10474838,15185814,21135606,268607143,257043750,84376712,258857846,260097092,139502070,152233040,164120002,153464603,140784215,140784214,127427924,113556700,99544708,85597458,72010436,72010435,258173394,73538430,60791336,49390765,49390766,58096299,70813347,59274735,47879346,47879345,59274733,72010434,270326444,91274703,77354813,77354812,64207148,52356916,42017777,42017776,52356915,64207146,72484301,59750106,52343546,42004637,42004638,46270931,57615514,70306134,70686459,77354810,64207144,64207143,77354808,72195782,59458058,49746560,39727286,31048362,23564141,17253031,17253032,23564144,31048370,39727001,31845221,24628252,18174973,18174972,17253037,17253038,12889458,8766499,5708240,3552341,3552342,5708243,8766506,12889471,18175050,23828492,17490718,12332347,8330906,8330907,12114062,255155656,31021744,255543602,42656680,33627833,25825855,255127252,13692440,255689027,33627835,36807093,28310262,255808303,15156490,10452652,6890380,6890381,10452655,7506291,7506292,9367882,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,10339840,15009961,20915443,268600871,29026433,29026432,32078690,32078691,25315646,22369533,16215014,11271886,7482517,7482516,11271876,16215002,22369515,22573913,22573912,29936301,22573923,22573922,27272282,20854974,14954087,12853840,8740969,5690528,3540010,3540011,5690530,8740972,12853845,16660271,17064913,23331546,28835458,28089116,28089117,36558491,36766571,28271636,21068797,21068798,28089115,25612142,18999059,18999058,25612140,256657117,42366068,270530109,77355487,64207848,52357651,256634875,13361320,9131473,5975728,5975730,9131478,13361326,18763650,25344348,33074440,30163753,22774462,22774463,16559431,11542406,11542407,15819401,15819400,21898081,29212229,37774157,47695539,41724340,41724339,52039483,51768773,42477421,33483765,32804243,25102342,25102341,255529612,17951324,255143442,21778835,15719790,10883016,10883015,15719787,21778831,17593818,17593819,23937265,31428397,33210045,31428336,23937199,23937200,31428339,25355400,25355401,23764005,23764006,255793649,255793647,35044470,26964205,20079820,14397027,14397026,20079818,20079795,20079794,26964175,25102346,18553792,13183474,13183473,18553790,25102343,32804244,41724341,52039485,63859078,259631171,90849779,99567091,85616438,269804719,29415597,22085238,15978958,11092539,11092541,15978961,255449964,255437580,11128149,7381069,7381070,11128154,10990398,10990397,15846081,10981459,7268727,4583933,2757933,1598875,1598876,2757941,4583955,7268777,10981544,8507774,8507775,12548572,15846208,15846207,21933858,17735570,17735567,16073829,11161809,10258693,10258692,14918888,20815383,21945607,16608274,11583491,11092508,11092505,15978902,22085151,29415503,29925593,28932505,21654971,21654970,28932497,37473964,47381266,254755864,29267761,267827970,255063854,255437437,256149606,37819762,37819761,47742175,256970766,37834725,29268552,21946247,15857106,10990748,10990747,15857100,21946232,29268527,37819985,29254675,255437433,15846014,12490946,12490947,17664097,24011097,29254748,29254747,29272037,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,10992201,15859188,21949107,29271985,37838157,256000321,17325271,255550089,31129543,39811694,257504598,47895876,39811695,39811694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9482395, s2 = 16214868, dlinesl.size( ) = 2 s1 = 9482395, s2 = 16214868, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9482395, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 7687513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7687513, s2 = 8198079, int(edited[s2]) = 0 s1 = 7687513, s2 = 8198079, d1 = 16, d2 = 13 Dl.O(d1) = 272575312,260683279 Dl.O(d2) = 60791668,49391132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7687513, s2 = 8198079, dlinesl.size( ) = 12 s1 = 6871015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6871015, s2 = 10165399, int(edited[s2]) = 0 s1 = 6871015, s2 = 10165399, d1 = 63, d2 = 104 Dl.O(d1) = 259468805 Dl.O(d2) = 36991339,36784419,28288041,28288042,36784420,46670529,58045661,70764514,84323766,91711069,77783192,64600017,52699288,42312256,268750051,25572252,18963166,13527566,13527567,10556084,10556083,6962242,4374208,2620278,1512628,1512629,2620281,4374215,6962257,10556132,12255524,12255523,10534840,10534841,15267594,15267606,10564177,10564176,15267644,10534884,6947601,6947600,4379735,4379738,254727467,8107804,5194577,5194576,8107802,12058702,15284483,15261419,10529598,6944341,6944340,10529593,10569782,8290828,8290826,6969736,4378611,2622502,2622501,4378605,6969721,9147541,12063104,12063102,15474237,10700627,7069538,7069537,10700623,10700606,10700605,15474213,21476800,23737489,30862041,254927866,25577742,28433753,21209578,254774500,6934740,4357522,4357521,6934738,255022043,21209576,28433750,36932541,31074998,31074999,39752606,49771072,61249685,51040288,40901088,32125753,24546694,18111527,12842661,12842662,18111529,13964127,13964126,12842685,8733471,8733470,8733635,8733634,12842940,18111908,22195980,22195979,19782213,19782212,17706728,17706727,18111592,12842711,12842712,16067386,12524959,8486716,8486715,8733511,5685821,5685822,8733512,12842745,18111644,24546837,32125910,40901292,48117962,48013401,38103519,29540095,29540096,29540293,22196934,22196933,22196242,16067604,255454753,256067203,24546895,28698278,21446456,21446455,22275453,16132862,16067365,11156655,11156653,7400357,7400354,11157249,15449917,15449916,21446450,28698263,29540625,29540626,38103985,47741830,37819467,29254146,26612530,19804361,18482354,18482357,14179067,9747536,6409440,6409441,268042679,19789851,14175262,9745103,6407928,4020156,2408986,2408985,4020153,6407922,9745091,14175238,19789817,19789288,19789286,19791563,26597461,20335719,20335718,27271435,35397921,34590683,26604036,19797452,18927856,18927855,25540303,33302475,27271697,20335992,14594699,14594700,20335995,27271700,30785596,30785595,256230398,22064182,15959633,15959632,22064180,29394541,23187087,23187088,16921029,16921028,20335373,20335374,24298021,19802913,19802912,21206440,28430227,29217889,21903567,21903566,15959683,11076590,7344730,4639038,2794195,1620737,1620738,2794199,4639045,7344740,254546403,2939045,1704304,1704303,2939042,4877655,7707014,11578695,16601779,22821775,30213831,31567761,24062023,24062022,31567759,40255403,38207298,38206989,38206990,38207295,38207598,38207597,48118251,53159470,42709892,33679956,25873857,25873858,33679959,33740023,29640714,29640713,29640694,22289142,16145259,11216584,7442413,7442412,11216580,16145250,22289122,29640662,38207237,29640911,22289333,255084553,11216662,16145380,22289327,24906620,24906619,19272540,13775929,9444474,9444475,13775932,19272545,25935024,19273540,13776723,13776724,19273544,19272743,13776088,254665709,3874811,3874808,6191400,9444570,13776070,19272690,13776050,13776051,19272692,25935189,25609799,19272686,13776048,13776049,19272688,25935186,33742358,35158392,27072432,20177172,255750123,35158391,44534582,35159016,27072967,27072968,35159019,35158614,27072613,27072612,20177589,14477193,9961088,6546811,6546813,6546807,6546806,9961077,14477180,20177207,14476968,9960928,6546726,6546725,9960924,9960949,9960948,14477001,20177262,20177523,27072757,20177411,14477084,9961003,6546771,6546770,9960998,14477079,20177401,27072745,20177495,14477134,9961039,9961040,14477140,20177499,20177907,14477387,255334201,27073447,35159672,256291812,20177558,20177559,27072987,27073850,20178165,14477535,14477539,20178119,20178120,256225783,44536639,55381497,44536617,35160173,27074155,27074156,27073596,20178134,14477521,9961254,6546903,4101517,2453429,2453427,4101508,6546888,9961225,14477470,20178057,27073685,33143430,27073985,256225803,256490117,30889902,39497088,44536302,38229090,33143607,33143606,42097901,42789668,42789667,42097749,39745079,31066958,23582778,23582779,31066960,39745081,49763623,257786413,77514099,78518858,65229887,53241395,42790121,33759160,256680331 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2611687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2611687, s2 = 3313009, int(edited[s2]) = 0 s1 = 2611687, s2 = 3313009, d1 = 0, d2 = 0 Dl.O(d1) = 12073933,12073934,17171968,23447684,30878235,39483805,46864393,46864392,49413600,60813826,73560244,258427116,106103900,91909351,77985630,64791991,52873193,42469421,42469422 Dl.O(d2) = 12073933,12073934,17171968,23447684,30878235,39483805,46864393,46864392,49413600,60813826,73560244,258427116,106103900,91909351,77985630,64791991,52873193,42469421,42469422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2611687, s2 = 3313009, dlinesl.size( ) = 2 s1 = 2611687, s2 = 3313009, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2611687, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11657108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2452656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343695, s2 = 1574975, int(edited[s2]) = 0 s1 = 10343695, s2 = 1574975, d1 = 24, d2 = 35 Dl.O(d1) = 254683330 Dl.O(d2) = 39894385,37918834,30011019,30011020,269773310,258157199 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7969710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8050030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8050030, s2 = 11369012, int(edited[s2]) = 0 s1 = 8050030, s2 = 11369012, d1 = 72, d2 = 50 Dl.O(d1) = 39535062,30923942,30923943,23486219,17202413,12097081,254205770,23486216,30923962,39535080,39535030,33345540,25585725,25585724,33345537,33347349,25587214,18978460,13542321,13542320,18978456,23486278,17202468,17202469,23486282,20294206,14563144,14563143,18978441,13542311,13542310,18978440,17202351,12097043,8135605,5212490,5212489,8135603,254655162,255269728,73623515,87245172,101245396,257802042 Dl.O(d2) = 260882802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8050030, s2 = 11369012, dlinesl.size( ) = 70 s1 = 3829048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6889648, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7602014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9499776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 655712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 655712, s2 = 15182959, int(edited[s2]) = 0 s1 = 655712, s2 = 15182959, d1 = 24, d2 = 28 Dl.O(d1) = 22378045,16221785,16221786,16314336,22486753,17581095,12409051,11350402,11350403,16314029,22486355,29851814,32049039,25358392,18776017,18776016,25358389,33091469,256121364,58365049,46994984,37109757,37109756,37109763,46995007,46994823,46994822,57697393,46348173,36490461,36490460,46348171,57697390,70391301,83917392,97775518,111696969,125502764,138834624,136804963,136804962,122974028,108708554,94421493,258221370,66942369,258460587,53496207,43017916,256173345,26123057,33960748,43017919,53496212,65519669,63784261,51969072,47288793,37379228,28839066,21567557,15545367,11374662,7561386,7561387,11381140,11378891,7559764,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,12156049,8186451,8186450,12156048,8205175,8205176,12172875,11637111,254759918,255158074,10980942,254638704,17295896,254201468,11376246,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,7915509,11377353,16349988,22523059,21568683,17587898,12414611,8390926,8390928,12414616,12350931,8344571,5385881,267828322,12136572,17256561,22514542,29872747,29884898,22530696,22530697,254167172,16337681,22511492,23635648,23636003,17320317,12195445,8225711,8225712,12195450,12211218,8241999,5313736,3263059,3263054,5313738,8242004,11350880,7542189,4770638,4770639,7542190,5289351,5289350,8219301,12188897,17313285,254264986,29854589,22489471,16316562,16316563,22489473,29854591,38417403,31122143,31122142,38423210,29857104,29857105,29413426,22492622,16319261,11353700,7543741,7543740,7542587,7542586,11351594,13317646,16308792,11355550,7544721,4771906,4771907,7544726,11091345,7355784,4646580,4646581,7355786,11091351,14570482,10026337,10026339,10588270,6984656,6984655,10588266,13691777,9376812,6142659,6142658,9376806,13691765,19173401,21297461,15330100,15330096,254577434,22475660,21295640,15328767,15328768,21295643,254839876,254579590,7543400,11353095,16318324,254834748,12140931,12140930,17261240,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589701,10026550,14570842,20303661,22490597,22490596,23570624,20303731,14570889,10026577,6589714,4128442,4128443,6589719,10026589,14570910,20303759,22023329,29354337,28315323,21105236,21105235,28315320,29356202 Dl.O(d2) = 142599374,129228744,115300702,101222728,87221890,87221891,101222730,115300704,129228746,261807813,166921638,155236461,155236460,166921635,177460673,186768269,194874192,193095992,184734302,175158283,164367057,152501127,152501126,164367055,152501130,139782008,126407512,112537377,98542919,84618299,84618298,84618301,71053979,58338005,268612088,28583753,21353834,15377267,12538140,8499500,5501021,3390538,1997876,1997875,3390536,5501017,8499493,12538132,268260665,17722209,12538123,12538122,255582515,268445815,24079349,31585224,257088317,37096473,37096474,40272424,31585310,24079426,24079427,31585248,24079369,17722184,12538112,12538113,17722186,24079374,31585253,40272357,40272356,31585252,31585251,40272354,50293732,51198282,257591164,41042481,41042469,32249706,32249707,32249609,32249610,41042370,51198279,61773596,50293727,40272347,40272346,50293726,41042511,32249766,32249767,41042384,32249619,32249618,268658188,41042611,37929974,29363175,29363174,24208392,24208393,18193804,18193803,24651189,18193812,12904482,8778234,8778235,12904483,18193815,24651202,23098434,16842504,16842505,18193716,24651072,31716221,24208441,17838427,255589969,31716224,40408439,32249845,32249844,41042586,257010440,50442590,40408511,31716285,31716191,24208412,17838413,12632025,12632027,255589965,12632054,8576887,5572737,5572738,8576889,12632058,17838460,24208481,31716277,40408498,50442571,51198310,51198309,256053470,256053472,40408399,257097817,50442515,61933224,62847636,62847604,51198305,41042406,41042405,51198302,62847600,74868573,62070382,50578250,40542213,31844193,31844192,32900399,32900398,41824327,50442494,40408425,40408424,41042402,269007084,51198434,41042548,32249806,32249807,41042550,32249814,32249812,41042556,51198314,62847610,61933222,61933221,62847710,51198430,49762978,39744427,257046715,257722257,62847602,62847603,258302716,75811176,62847597,62847596,51198328,51198327,61933165,257097811,31716177,24208405,24208406,31716179,40408378,269412277,259550706,31066352,31066349,39744429,49762981,61241930,258302720,61241928,61241926,55385349,55385350,67724750,258302714,55385300,55385301,61241935,49762984,49762983,61241933,55385297,55385296,61933203,50442486,50442487,61933199,53112958,44538915,41605143,41605142,51904793,63711268,67592952,55251263,44403347,44403348,55251265,67592956,81060724,75811200,62847639,51198355,51198356,50109705,50109704,61589671,67724732,55385328,55385327,67724729,78383989,65100019,55385357,44539103,35162302,27075336,20179227,14478193,9961655,9961654,14478189,20179221,27075324,35162276,27075320,27075318,35162274,40408411,31716197,31716196,40408407,50442483,44539091,44539092,55385343,67724741,81188772,78615418,78615416,81188744,67765656,55425985,55425984,49287936,39360864,39360863,49287935,60689393,73437774,67724561,67724562,81188599,95243153,258882696,71558541,71558540,85128998,99053770,101940607,87968107,256751340,74350138,74350137,87952346,101924958,115126908,116118409,102060519,102060520,259971696,113467368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 655712, s2 = 15182959, dlinesl.size( ) = 8 s1 = 9025387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699634, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9693878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9693878, s2 = 14117844, int(edited[s2]) = 0 s1 = 9693878, s2 = 14117844, d1 = 10, d2 = 8 Dl.O(d1) = 155419388,142838093,129520943,115635747,101595240,101595241,115635749,115635761,101595255,87627997,74024021,257629389,39746378,39746376,49764888,61243679,49764905,49764904,61243701,74024037 Dl.O(d2) = 269008931,60208286,60208287,60208315,48811224,38888772,30302655,22903657,16672465,11637324,11637323,255504967,30302652,38888768,48811219,48811249,257573487,60208291,48811205,38888760,38888744,30302632,256448535,29469218,29469219,38031902,38031911,29469230,29469229,22133735,16018108,16018109,22133737,29469261,22133725,22133724,29469259,38031936,38031924,38031923,257505509,29469277,22133739,22133738,29469274,38031949,47945728,38888783,38888782,48811240,60208334,59337411,59337412,72071592,59337377,59337378,47945703,38031919,29469238,29469237,38031917,38031960,38031959,38031927,38031920,32318814,32318815,41132581,42499860,42499859,47945737,59337419,62995209,51316176,51316175,257142141,32318807,269761718,62995205,51316170,41132575,41132576,51316174,257142139,41132569,257728385,64834372,62995198,51316163,51316162,62995196,51316168,41132573,41132574,44461777,44461780,55306842,67645794,60476400,49073103,49073104,60476402,72417655,72169956,59431466,59431465,72169953,85764168,89723800,84899389,258063879,57797186,57797185,47201239,37293204,28759470,28759471,37293205,47201241,58592521,71325880,84899272,98825866,103817220,103817221,117964648,119187174,133022411,146256523,158631116,169993910,180163934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9693878, s2 = 14117844, dlinesl.size( ) = 2 s1 = 9693878, s2 = 14117844, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9693878, Dl.E( ) = 16, 1.6e-05 seconds used appending s1 = 13280057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9416950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10334298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10334298, s2 = 6874302, int(edited[s2]) = 0 s1 = 10334298, s2 = 6874302, d1 = 149, d2 = 117 Dl.O(d1) = 59924208,72664626,84847498,71273676,255812598,37248560,254721508,15461347,10690579,254157728,4446671,7062593,10690575,15203415,10486560,6914111,4342633,2600103,254157727,480163,480162,254157725,1500081,2600102,4342628,6914101,9087342,5944458,3717197,2225865,1291073,736961,418910,236423,130443,130445,236428,418918,736976,1291100,2225926,3717310,4271119,3721925,2533513,2533512,4237433,5458114,8449932,6751129,6751124,10272922,9102222,5955668,5955669,9102226,9071377,5931962,3709078,3709079,5931965,6838669,6838788,4290943,3709542,2565432,2223951,1332920,761223,761221,1332914,2297219,3834360,3180190,1861494,1861496,3180179,5212575,8135747,5352857,5352860,8297627,12286756,13560837,18713822,18713821,14083025,14083026,19648073,26382489,25402273,18812910,18812909,25402272,30416304,26147355,19449237,19449234,26147352,33988212,43046882,53526568,65551402,74672809,65551444,65551445,58176621,58176622,65775950,61880688,53332171,42870997,33829845,33829844,35174141,35174142,33829934,26011880,19337584,13828859,13828860,19337590,26011888,33829952,42871165,53332276,53332260,53332238,53332237,50391010,50391013,61880718,53332279,53332280,65329704,71098713,61880744,61880745,53332244,53332202,42871028,33829866,33829868,42871032,50390997,61880703,53332146,53332145,42871144,33829939,33829937,42871139,43881860,42871156,42871157,40355995,31660947,31660946,31660962,33829926,33829925,42871127,52250610,42870990,33829841,26011824,26011820,19337550,19337547,26011814,33829828,33829873,33829816,26011803,26011804,24150363,24150364,31660982,40356046,50391020,61880733,53332152,47011117,37124174,28613309,256320377,47011108,256979339,30160586,22772158,255936257,38743470,257560199,258792793,72800677,258908433,60062096,48665267,48665265,269439876,86396655,86827573,88298481,258323382,61880853,61880854,269100354,39523250,30912917,30912918,39523254,49456669,60467428,49063887,39133828,30535126,23116465,268421909,39133832,49063892,39133834,30535128,23116466,16857104,16857105,23116468,30535131,39133843,49063917,60467463,73214420,62648484,60467434,59355063,47964079,38050929,29487378,29487377,38050926,47964073,59355053,49063882,49063883,60467420,73214386,73214367,60467401,60467403,60467400,60467398,258819941,100809044,113636164,99622963,259983363,259332448,86563170,86563162,72964221,60225492,60225493,258806399,100524737,86563156,84333976,70775450,58057694,46684017,46684019,48829347,48829346,60225489,72088414,59355080,59355081,72088416,72088419,59355089,59355090,48829376,38907625,30320847,22920407,16686681,16686682,13402365,9162873,254443449,2245757,254146667,743136,743197,422078,238115,131456,131457,238117,422080,743201,743162,743160,1302649,2245837,3750455,254648485,5864824,3661491,2190749,2190750,3661494,5864710,4220852,2523644,1454315,1454313,2523634,4220818,6736469,10252212,14910082,13188209,8990332,8990333,5997174,5997173,9163115,255258739,256124055,42096754,42096403,33142248,25402354,25402353,25402430,33142309,269299584,22887008,22887007,30284928,38870843,48793218,258180547,86527686,86527685,94351424,80294962,80294960,94351421,87665585,74061693,74061692,258847092,50048281,40028468,39784586,31105450,23620274,17305808,12182876,12182875,17305807,17511833,12348654,254594135,5385011,254850673,17511830,268440847,257069135,61527675,50048268,256522143,23854787,23854785,31348488,257651813,31348501,23854793 Dl.O(d2) = 17511832,12348654,254594135,5385011,254850673,17511830,23854792,31348500,257069131,40028473,259507235,260122183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9145474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8487302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8342720, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8342720, s2 = 191124, int(edited[s2]) = 0 s1 = 8342720, s2 = 191124, d1 = 20, d2 = 2 Dl.O(d1) = 128885343,128769337,114872433,100821306,258664198,73227478,86840094 Dl.O(d2) = 4518212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8342720, s2 = 191124, dlinesl.size( ) = 2 s1 = 8342720, s2 = 191124, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8342720, Dl.E( ) = 50, 2.5e-05 seconds used appending s1 = 8272139, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9073742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2620307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2620307, s2 = 16077154, int(edited[s2]) = 0 s1 = 2620307, s2 = 16077154, d1 = 29, d2 = 35 Dl.O(d1) = 31134472,39817034,49840608,61323873,74107001 Dl.O(d2) = 162524296,150393424,137351713,260858946,109425021,95168649,81110161,67643878,55305007,44460120,35084938,27000120,268549169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2620307, s2 = 16077154, dlinesl.size( ) = 2 s1 = 2620307, s2 = 16077154, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2620307, Dl.E( ) = 36, 9.06e-06 seconds used appending s1 = 1571106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8634290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9484600, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14165270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165270, s2 = 7969975, int(edited[s2]) = 0 s1 = 14165270, s2 = 7969975, d1 = 21, d2 = 12 Dl.O(d1) = 87204791,259471865,87204794,87204792 Dl.O(d2) = 272949230,50672572,40616384,256055227,17974564,254881383,2078981,254285831,5630227,8655917,12737989,17974559,24372320,31903128,40616375,40616382,50672563,40616376,31903130,31903131,40616379,50672569,62189432,75008998,88656769,88656771,102664878,116759596,259707013,78547840,65257640,65257641,78547841,78547832,78547833,76664416,63578594,51793033,41515774,32630611,32630610,41509388,32625760,31453630,31453631,40134410,41509425,41509424,50150276,50150277,51784752,51784750,51784769,51784768,61646169,50162147,50162149,50150178,40128685,31448968,31448967,31449150,23956614,17609477,17609475,268442829,40128886,40129433,50150910,61632912,51784996,41509752,32626155,32626154,40129339,40129338,50150236,40128766,31449053,31449054,31449066,23956557,23956558,31449068,31449710,40128775,40128776,50150240,51784724,41509481,32625858,24958046,18440777,18440778,18440781,18440780,24958052,32625869,41509494,51784774,50150300,40128808,31449088,23956575,23956576,31449090,24957973,18440720,13099229,8927268,8927271,13099236,18440729,24957984,24958136,18440843,13099318,8927319,8927320,12430092,17609819,18440969,17614136,12432740,12432742,15978818,15978806,15978808,13099301,8927308,8927307,13099295,18440811,23956674,17609521,17609523,23956454,17609364,17609365,23956458,17609504,12429892,8400951,5421156,3332606,3332607,5421133,8400920,8401035,8401034,12430026,17609725,18440761,13099255,8927287,5826580,3635485,3635486,5826585,8927296,13099268,18440775,23957072,17609834,12430102,8401079,5421236,5421237,8401081,8927370,12432752,8402604,8402602,7356478,4646997,2799161,2799162,4647003,7356484,11092470,15978850,17609538,12429904,12429903,17609531,12430015,12430014,17609551,12429914,8400958,5421162,3332612,1960033,1960035,3332601,5421140,5421215,5421213,8401042,12430031,13099309,8927313,5826601,3635495,2172124,2172125,3635502,5826610,8927332,13099335,12430110,12430111,17609315,12430123,8401088,8401087,12430119,17609850,17614145,17609492,15978769,11092424,7356461,4646990,4646991,7356465,11092433,12430535,16006134,16006158,22119766,22084987,17609804,17609803,255236831,8927253,5826559,3635476,2172119,2172120,3635480,5826566,8927258,8400882,8400881,12429759,17609294,23956377,24958379,24958380,23956507,17609406,17609405,23956501,29415271,22084948,15978740,15978739,22084944,29415264,23965238,23956762,23956761,20121995,20121996,18440798,13099281,8927302,8927303,13099286,18440806,17609329,17609330,23628858,17609874,17609873,23957112,31449731,40129012,40129013,40134768,50157168,47895619,37978286,29415296,29415297,31456215,31449459,23956852,23956851,31449455,40129213,40131267,40131268,40129009,256074176,39796098,31449485,31449486,24958082,18440796,18440795,24958077,32625893,41509520,51784785,59291204,63567293,51784779,41509512,32625885,32625884,41509509,40125034,31445515,31445516,40125036,50146258,40129315,40129316,50150774,50189067,50189066,60223531,50146862,40125639,31446076,31446077,30354213,30354214,24958259,24958260,32626098,256623552,23962568,23962569,31457203,31457483,256530841,269401709,44749358,48446998,52457521,42105435,33151542,33151540,42105432,52457518,50146275,40125049,31445526,23955549,17608614,17608613,18336204,18336205,24829413,18336203,17611340,17611341,23959313,31452666,23964065,17614428,17614429,23964068,31459142,31859476,24337363,17947363,12717654,12717653,17947361,24337359,28923774,21648059,15614836,15614835,21648057,28923770,28923589,21647886,255850307,31445320,30073582,22693557,16491866,11490476,11490477,11185549,7421836,4690046,2826001,1639609,932362,525527,294499,294497,525518,932338,1639500,2825783,4689677,4690109,4690107,7421929,4701923,2832657,1643385,1643386,2832665,4701939,7441463,11215166,11184470,11184472,15537695,15537696,11215450,7441646,4702050,4702051,7441648,11215454,11184359,11184360,8083903,5179609,3160482,3160481,5179823,8084232,12024637,17111262,23381621,30810143,39415387,49345075,60628967,60628975,60628976,60628982,49227846,49227845,60628980,55362967,44516744,35140087,27054460,20160996,14463375,14463376,9951539,6540425,4097678,4097677,6540423,9951535,8975325,5859337,5859338,8975327,13167148,8975328,5859339,3657739 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2622791, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2623380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14304865, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9218740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2624444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6715131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9495957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2941243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2941303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13203513, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8415321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8415321, s2 = 14165165, int(edited[s2]) = 0 s1 = 8415321, s2 = 14165165, d1 = 129, d2 = 93 Dl.O(d1) = 50388630,48003808,48003807,59392043,65559824,53534957,53534953,255453938,256387622,101774867,87802489 Dl.O(d2) = 103250088,103250089,104870899,90701053,76831091,63728171,51919539,41617581,32712518,25026998,18495348,13140053,13140054,18495349,25027000,32712520,41617585,51919543,257119476,51919546,51919547,63728177,257704164,90701060,90701061,104870906,119056980,119056981,260183098,119056978,104870904,90701059,90701058,90701056,90701057,93246572,107649444,122023926,135951470,135951471,149175430,135951473,122023930,122023929,122023928,107649445,93246576,79130908,65775670,65775671,79130905,93246573,259321672,59695836,48308910,38398204,256880216,16290362,16290361,22458390,29825813,38398200,48308904,59695829,72431456,86029156,99990753,86029489,86029488,99991123,114016849,270859412,122208547,257993182,93381823,107803663,259243666,98368307,98368306,98368304,84458961,70902562,70902563,84458964,98368309,112350672,112350673,98368311,98368312,98368310,84458976,70902574,58189679,58189678,70902572,84458973,98368318,98368316,84458972,70902570,58189677,58189674,46823568,36945615,28445889,21219810,15250845,10521272,6938683,4360316,4360315,6938680,10521267,15250837,21219802,256307267,46823561,46823560,58189667,70902560,71000927,61444038,257469846,31274433,31274434,39949291,49966056,58189656,58189655,70902548,84458956,84458959,84458957,70902556,58189660,46823555,36945607,28445879,21319674,21319673,23788823,23788824,31274436,39949295,269308055,36944943,28445321,21219335,21219336,28445324,36944946,40353845,256038331,12584816,12584815,17781945,256038329,40353842,49942441,39924680,31249071,31249072,39924681,32404186,32404185,41228498,49225809,46643557,46643558,58017009,61420377,49942340,49942329,49942328,61420390,74198986,87802492,101774869,115820881,115820882,129719767,126345752,126345749,112478052,98486290,84563018,84563019,98486293,112478055,121174710,134982922,148104666,160347551,149414608,136164914,259245412,93374535,79246624,65882291,65882290,53814287,43289252,43289251,53814285,257384486,79246625,93374537,107796944,122202318,136164919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8415321, s2 = 14165165, dlinesl.size( ) = 2 s1 = 8415321, s2 = 14165165, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8415321, Dl.E( ) = 142, 3.79e-05 seconds used appending s1 = 3233675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3233675, s2 = 483174, int(edited[s2]) = 0 s1 = 3233675, s2 = 483174, d1 = 8, d2 = 0 Dl.O(d1) = 101780375,87807955 Dl.O(d2) = 61426110,49948546,39931379,31256394,31256393,23771806,17443150,12295818,8304590,5358262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3233675, s2 = 483174, dlinesl.size( ) = 2 s1 = 3233675, s2 = 483174, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3233675, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 2942272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2942941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2942941, s2 = 11540132, int(edited[s2]) = 0 s1 = 2942941, s2 = 11540132, d1 = 63, d2 = 155 Dl.O(d1) = 87827571 Dl.O(d2) = 274265200,214792559,265133291,265507327,265816309,230906139,232227632,233420423,234503755,234681347,235490513,236391017,237213311,236391016,235490512,234503733,233420405,232227618,230906126,229431134,229431133,227770135,265816309,230906136,232227631,233420406,233420412,232227622,232227621,233420408,266410496,230906135,229431141,265668495,225877312,227770133,229431139,230906132,232227627,233420422,234503753,266394373,234503732,233420405,232227618,230906126,229431134,227770129,265507325,223707193,225877307,265816307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2942941, s2 = 11540132, dlinesl.size( ) = 56 s1 = 2627607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8406474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8406474, s2 = 3116778, int(edited[s2]) = 0 s1 = 8406474, s2 = 3116778, d1 = 10, d2 = 7 Dl.O(d1) = 101806187,87832183,74227251,74227252,84563027,84563028,98486302,111740349,97818207,83959075,256520278,46388278,36528377,36528378,46388280,57738189,70432540,70432527,70432529,83959067,258258512,73242508,74227235,74227236,70432537,57738187,46388279,46388280,57738189,70432540,70432527,70432529,83959067,83959041,70432515,268440474,36528373,36528374,46388271,256520274,70432578,83959117,258881100,97818231,97818230,111740374,125546542,111740332,97818189,83959065,70432528,57738182,57738180,70432526,83959061,97818184,111740327,97818232,83959098 Dl.O(d2) = 70432557,57738198,46388288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2627892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2627973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6524449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2628170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2628504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6467420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6467420, s2 = 9437755, int(edited[s2]) = 0 s1 = 6467420, s2 = 9437755, d1 = 20, d2 = 35 Dl.O(d1) = 254848595,5372396,254848597,17479516,23813737,31299910,39974384,39974382,39974383,257647055,258878419 Dl.O(d2) = 2424157,1402193,254213523,2424180,1402202,1402203,2424182,1402240,1402239,2424243,4050753,6465052,9843591,14329452,20008422,20008423,256210507,44345544,38751364,30168192,22779133,22779115,17477279,17477280,17807826,17808385,12607073,8556030,8556031,12607075,16401332,16401331,254375612,11619831,11619832,11611121,7730892,4894235,3742339,2240346,1299154,1299155,2240350,3742346,5984906,4901265,2954013,1712972,1712973,2954003,4860183,2928812,2928811,2947025,2947026,4890403,4900191,4900190,7734519,4896802,4896803,7734522,11615124,11554604,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1685341,958251,958250,1685333,2905402,4821347,7620209,11450690,9852786,9852785,14341324,255482845,22620505,20023917,14341879,9853189,8729732,8729733,255217347,24538407,32115742,40889493,51026885,62652967,74052802,61272919,51026886,51026887,62652968,74052812,61272928,61272922,61272923,72225092,59489552,48101109,38189407,29622222,22270958,22270957,256395761,257517991,72225087,85817370,99770136,99770122,85817360,85817361,85817363,99770126,260593361,107952273,93515185,79378675,79378674,93515183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6467420, s2 = 9437755, dlinesl.size( ) = 2 s1 = 6467420, s2 = 9437755, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6467420, Dl.E( ) = 44, 2.31e-05 seconds used appending s1 = 6823176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9231080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9485032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9485032, s2 = 13515496, int(edited[s2]) = 0 s1 = 9485032, s2 = 13515496, d1 = 0, d2 = 3 Dl.O(d1) = 127984885,114100180,100069413,100069414,261191261,100046049,114072485,127952711,141312574,153983186,273129481,153982895,141312258,127952425,114072247,100045841,86083094,86083095,100045844,114072248,127952428,141312262,272564183,127952628,272217287,262056129,160341848,148098656,134976525,121167719,106900775,92581545,78533760,258217972,257029556,255982298,13795416,13795415,19295254,25960251,33769186,37925507,47845304,59242204,59242209,58670329,58670328,257311492,98903822,87871648,74270218,256745826,101843534,87871653,74270221,61493575,50015768,50015769,256220424,87871656,101843536,115887904,129786064,115887906,101843537,101843538,115887907,259160850,145087854,157522791,150404770,150404769,141542551,128185575,114303174,100273356,86311880,72714994,72714993,86311878,100273353,114303167,128185563,259609076,145087861,131828386,118000496,271943355,145087856,140530448,127183943,113324637,99321402,85376557,259960527,113324645,259341595,71786913,258715657 Dl.O(d2) = 99321405,113324643,127183949,133566148,141257857,141257861,153929715,145087865,145087866,153212517,260821908,127183949,133566148,141257857,141257861,153929715,145087865,145087866,157522802,146824515,146824516,260225328,260013328,258769964,91231887,259395204,133566149,260225318,113324617,272199363,140751306,262218465,140751309,127395390,113525329,99513787,85566865,258109049,59242212,71979646,85566869,99513794,113525337,261153341,125651702,125521180,111713783,111713782,125521178,260576249,111836496,111836497,111836504,111836520,97903287,84033539,84033538,97903285,111836515,111836486,97903263,97903262,259976085,99513778,113525316,111836493,97903267,84033530,84033531,97903270,111836495,97903291,84033541,84033540,97903289,111836516,125651705,138989786,151693533,163572853,262126110,163439892,174288019,183950762,176958268,166365582,166365581,163439896,163439895,163572820,151693494,151693495,163572823,262689204,174413878,184068231,175810020,175810021,183950773,183950772,192418036,193614064,197294444,203852138,205953502,200722529,193614039,185319092,185319093,193614040,193614072,200722543,206720271,206720268,271792272,197294402,197294401,189606789,180709685,170578859,170578858,180709682,189606784,197294448,203852105,197294413,197294412,197294411,203852111,209325886,209325905,203852139,197294445,189606780,180709679,259965256,197294446,203852126,197294430,189606760,189606761,271792270,209325897,272548138,208325434,213038841,213038839,213038837,213038838,208325449,202612183,202612182,208325447,211404853,208325463,202612200,202612201,200345350,200345349,206398479,210483775,210483774,211404851,206398475,206398471,202612184,195814569,187876735,178772811,168465157,168465156,263286305,195814565,202612199,208325461,263417174,193179379,262713772,164492020,262660017,184830097,193179370,200345324,206398455,263881884,206398474,263544758,184830109,175267755,175267754,175267751,175267750,184830106,193179391,200345345,206398456,273540250,200345338,263417176,193179382,193179381,200345333,202612198,195814561,187876728,187876726,187876727,195814557,202612194,200345328,262555864,199016003,191595918,182962986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9485032, s2 = 13515496, dlinesl.size( ) = 2 s1 = 9485032, s2 = 13515496, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9485032, Dl.E( ) = 6, 7.15e-06 seconds used appending s1 = 6921945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 369002, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1582024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6467494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344377, s2 = 3186386, int(edited[s2]) = 0 s1 = 10344377, s2 = 3186386, d1 = 39, d2 = 22 Dl.O(d1) = 165838878,154069459,260636654,100102234,86134592,72535192,59799880,48414839,255938562,22582033,255920513,30170144,255923948,7682584,4861094,4861095,7682588,11547498,16565774,22781322,30170161,38753203,48674808,60071003,72808452,86403685,100359880,114383283,128259639,141610020,154265834 Dl.O(d2) = 212187820,273868092,201412474,194395301,186205298,262724966,166193296,154458965,141812832,128460040,114576034,100545409,86584371,72987242,60251738,256952072,38939519,30353483,22951691,22951692,30353486,25609207,25609208,33006057,33006056,41948289,52288938,64140931,77289879,73539162,60792110,49391573,39463231,30858550,30858551,39463232,49391576,60792111,73539163,87157272,101155043,115232192,129162958,142538860,155182100,166873941,177419518,186733376,194844590,186733374,186733375,194844591,201786329,207629694,212447625,216387538,219654834,222414422,224782997,226838787,228631248,230207240,266138075,266349425,235979440,266514286,266427080,236925687,236076799,235143659,234117917,232990360,231744096,230356737,228795304,227022795,224991073,222652713,219929629,216702668,273546606,202270304,195399620,187364226,178132507,167674547,156070570,143536868,270322198,102286921,88293955,74668794,74512955,61731099,50252243,50252242,61731097,50387373,40352545,31657848,24147662,17781032,17781031,24147661,31657847,40352544,50387372,61876905,61876902,61876901,74668786,88293946,102286914,116376231,130210847,119136168,104940274,104940275,104940273,104940272,119136166,132971435,146205033,158579528,169945339,169945340,165941288,154181972,154181971,154181974,141518588,128160337,114276211,114276210,128160336,128160334,114276208,100245057,100245050,100245049,114276198,114276205,100245054,100245052,114276202,128160332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344377, s2 = 3186386, dlinesl.size( ) = 8 s1 = 2947528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8215385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8215385, s2 = 8251832, int(edited[s2]) = 0 s1 = 8215385, s2 = 8251832, d1 = 63, d2 = 25 Dl.O(d1) = 258428152,30433624,23027331,255956349,39023158,48946047,60342906,73082686,86686863,258445224,52643824,52643825,52712075,62669043,57983804,46606801,36718592,36718591,34252871,26375676,26375677,34252872,33343987,31989341,24434140,24434141,31989343,40738205,35842752,27574635,20545105,20545104,27574633,35842748,45458503,51040685,51040684,62427879,54611762,43869008,34598697,26611660,19803691,19803694,26611667,34598707,43869020,47741915,47741917,59140550,58154546,46787075,36909451,28412111,28412110,36909449,43192432,37494337,29254229,29254228,37819559,42769183,42769182,37819554,37819555,47741913,269527727,33739243,25932198,19269957,255694903,257236721,65204839,258471345,269135197,43203761,53716105,259100783,68051289,257328823,39878566,39878567,49900051,257639301,256509921,31197290,39878573,49900057,44746587,35320823,27197387,256235081,25049049,256100781,41648416,260028265 Dl.O(d2) = 64156972,255786036,18721750,13327268,13327266,15032232,15643425,10826169,258702541,46510256,36642918,36642917,269299733,70567586,258353091,256086859,24820975,32458452,30095592,30095591,30095595,38672851,256063810,23834925,268679971,4337473,4337475,6064957,6064959,9260058,12512431,15293969,10558554,10558557,15293973,13520730,13520731,13508392,12251539,12251540,15475670,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,5199987,5199985,3791414,2271213,1317233,1317231,1317347,1317346,2271426,2614728,2614729,4363096,6942437,9254027,268027125,4378591,2622496,2622495,4378585,6969681,9245205,254447708,25560961,33322853,31256420,31256421,39931342,31256362,23771786,17443409,17443408,23772220,22210975,16080108,16080109,20263111,14538308,11674623,11674624,16716406,22953048,27187103,20263414,14538476,14538478,14538485,14538487,18061632,24484388,32049812,30264747,30264748,33320685,29580315,29580314,31261623,30744189,23776621,18391655,13063603,13063600,18391648,24812424,18323280,18323281,24812428,31261726,23776613,17446874,12298352,12298349,10002848,6573446,6573447,10002864,12298346,12295964,8304651,8304652,12295969,17443431,23772242,31256864,32566196,31256082,23771538,23771537,31256080,28492955,28492954,31260868 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6844485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6844485, s2 = 9734737, int(edited[s2]) = 0 s1 = 6844485, s2 = 9734737, d1 = 31, d2 = 45 Dl.O(d1) = 259154168,18571503,13197166,8996477,8996478,13197168,18571510,15815729,12364707,12364706,257653767,74326812 Dl.O(d2) = 129848265,143179300,273380271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6844485, s2 = 9734737, dlinesl.size( ) = 50 s1 = 10348352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6548217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2949164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2633975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10218772, s2 = 1235721, int(edited[s2]) = 0 s1 = 10218772, s2 = 1235721, d1 = 15, d2 = 2 Dl.O(d1) = 256753048,87953045,74350787,61573978,61573977,74350785,259510745 Dl.O(d2) = 31196384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10218772, s2 = 1235721, dlinesl.size( ) = 8 s1 = 2634113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2634113, s2 = 16354405, int(edited[s2]) = 0 s1 = 2634113, s2 = 16354405, d1 = 2, d2 = 93 Dl.O(d1) = 74352336 Dl.O(d2) = 176265996,165589431,153807262,141133226,127775671,113900226,99881576,85926128,72332228,59597006,48209892,38300057,29732446,22374987,16219279,11274954,7484476,7484477,11274960,16219292,22375004,29732464,24777703,24777701,18500815,13144160,13144161,18500818,21177824,21177825,15221293,10499588,10499589,7264130,7264128,9100187,5954107,254297097,1292921,1292922,2229440,3723513,5954111,254322431,1471315,832228,832229,1471318,2554237,4244060,2537540,1469815,1469814,254324133,6805124,5926680,3705869,3705870,5926682,9059917,5923663,5923662,4300157,2570944,1480135,1480134,2570941,4300153,6852212,5211330,5211331,3708658,3708657,254641573,5926358,5926359,254642135,3711830,2222811,1289397,1289399,2222818,3711947,3856301,6163125,9406880,10327965,6820076,6820077,10355917,15028164,20884157,23824615,255173829,8329359,8329358,12330039,17487584,16208783,12654016,8591367,5582423,5582422,5582466,6927797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2634113, s2 = 16354405, dlinesl.size( ) = 26 s1 = 6782520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6782520, s2 = 8307291, int(edited[s2]) = 0 s1 = 6782520, s2 = 8307291, d1 = 2, d2 = 5 Dl.O(d1) = 258397958 Dl.O(d2) = 74364289,257783190 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6837143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7605583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7605583, s2 = 14323749, int(edited[s2]) = 0 s1 = 7605583, s2 = 14323749, d1 = 48, d2 = 65 Dl.O(d1) = 269085960 Dl.O(d2) = 262315072,263218810,201792956,263606365,186741983,194851902,200626898,262893866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7605583, s2 = 14323749, dlinesl.size( ) = 42 s1 = 7596188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2950968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2950968, s2 = 11488834, int(edited[s2]) = 0 s1 = 2950968, s2 = 11488834, d1 = 23, d2 = 56 Dl.O(d1) = 87977207 Dl.O(d2) = 274185383,211425825,211425824,215516305,264677256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2950968, s2 = 11488834, dlinesl.size( ) = 2 s1 = 2950968, s2 = 11488834, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2950968, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 8135626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8135626, s2 = 13645291, int(edited[s2]) = 0 s1 = 8135626, s2 = 13645291, d1 = 0, d2 = 0 Dl.O(d1) = 268692340,23934276,17591419,17591420,23934279,31424915,38027161,38027162,269335713,47940806,47940805,47940809,47940810,59332504,72066789,61604921,61604920,74381419,87983952,101956898,271862315,143228424,261757042,260633986,113619155,127492915,140850635,153528511,165321335,165321337,165321336,262787202,154157489,141491711,128130287,128130285,141491705,141491704,154157479,154157496,141491715,128130290,128130289,141491714,154157494,165918469,260584392,259365896,141491703,142535885,259984210,155178874,142535860,129160040,260024216,73535317,60787899,49387025,39458804,30854466,255485620,17146490,256487085,49387021,268649548,55468771,67810460,81278005,271353562,150534723,137504827,261096758,107396075,107396076,107396079,107396080,260936793,121780517,107396074,92985600,78874045,78874044,92985598,107396070,121780512,121780508,121780509,135720679,148959472,161264423,172463600,182414648,191116949,191116948,198606543,198606546,198606545,199314870,191949380,263803161,205546693,264131353,273296021,162563540,150435278,137395817,137395818,137395819,123664948,109472914,260995445,123664945,109472910,95218730,81162042,67696195,55356239,55356240,67696196,81162045,95218736,95218734,259791147,272093101,162563545,173593640,183387532,191949383,199314874,205546698,210701183,264664474,210269690,205020236,198684336,273274860,191205112,262536932,273274858,212218299,273949488,214559332,210269691,274063883,198684339,263402280,172583651,172583652,182517619,176909956,166310697,166310698,166310699,154590330,259097512,114687593,257256420,73063469,60322542,60322541,73063467,257256418,114687588,114687589,100642117,100642118,114687591,128585028,141946101,154590326,141946098,141946097,154590324,166310692,176909950,186286623,194461012,263402276,198606537,198606538,204952026,210211470,210211471,264662513,214511489,210211450,204952003,198606518,191116920,191116919,263768435,182414641,172463595,161264419,272528982,135720677,148959467,161264417,172463593,182414620,172463582,172463583,182414623,191116918,182414638,182414637,191116935,182414629,182414630,191116933,191116931,198606528,264396785,214511498,216386542,212446512,212446513,212446510,264226098,194842360,194842359,264226096,201784682,194842364,186730481,177416102,166870430,155178917,142535906,272590725,263217967,177416098,186730479,186730477,177416097,166870424,166870423,155178919,142535912,129160073,260024228,258781418,60788133,256967796,30854571,30854570,31258922,30854569,255485630,17146543,23423734,17444842,12296926,8305222,254846317,17444840,23774132,256514539,49950644,61427997,74206472,87809702,101782052,101782050,101782049,115828210,272259749,129727319,261826961,261187006,115828216,115828217,129727321,143057948,155607338,167238194,155607333,273355770,187013321,177734686,262248838,143057946,143057947,155607336,167238195,177734687,187013323,195095670,264280937,212618680,216534677,219781956,219781951,219781950,222522778,224876806,226920516,228701498,266023707,265868732,228701493,274523649,228701495,226920512,224876802,222522775,265429183,226920513,228701496,274598094,266121344,231662864,266252809,235083090,235083091,266532839,237653207,238358405,266810139,266736066,237653206,237653205,238358402,239001064,239592502,240139620,266959150,266919303,241116780,241474614,241474613,241886127,241552479,241552480,267095595,242674180,242674184,242328987,242328986,242674182 Dl.O(d2) = 268692340,23934276,17591419,17591420,23934279,31424915,38027161,38027162,269335713,47940806,47940805,47940809,47940810,59332504,72066789,61604921,61604920,74381419,87983952,101956898,271862315,143228424,261757042,260633986,113619155,127492915,140850635,153528511,165321335,165321337,165321336,262787202,154157489,141491711,128130287,128130285,141491705,141491704,154157479,154157496,141491715,128130290,128130289,141491714,154157494,165918469,260584392,259365896,141491703,142535885,259984210,155178874,142535860,129160040,260024216,73535317,60787899,49387025,39458804,30854466,255485620,17146490,256487085,49387021,268649548,55468771,67810460,81278005,271353562,150534723,137504827,261096758,107396075,107396076,107396079,107396080,260936793,121780517,107396074,92985600,78874045,78874044,92985598,107396070,121780512,121780508,121780509,135720679,148959472,161264423,172463600,182414648,191116949,191116948,198606543,198606546,198606545,199314870,191949380,263803161,205546693,264131353,273296021,162563540,150435278,137395817,137395818,137395819,123664948,109472914,260995445,123664945,109472910,95218730,81162042,67696195,55356239,55356240,67696196,81162045,95218736,95218734,259791147,272093101,162563545,173593640,183387532,191949383,199314874,205546698,210701183,264664474,210269690,205020236,198684336,273274860,191205112,262536932,273274858,212218299,273949488,214559332,210269691,274063883,198684339,263402280,172583651,172583652,182517619,176909956,166310697,166310698,166310699,154590330,259097512,114687593,257256420,73063469,60322542,60322541,73063467,257256418,114687588,114687589,100642117,100642118,114687591,128585028,141946101,154590326,141946098,141946097,154590324,166310692,176909950,186286623,194461012,263402276,198606537,198606538,204952026,210211470,210211471,264662513,214511489,210211450,204952003,198606518,191116920,191116919,263768435,182414641,172463595,161264419,272528982,135720677,148959467,161264417,172463593,182414620,172463582,172463583,182414623,191116918,182414638,182414637,191116935,182414629,182414630,191116933,191116931,198606528,264396785,214511498,216386542,212446512,212446513,212446510,264226098,194842360,194842359,264226096,201784682,194842364,186730481,177416102,166870430,155178917,142535906,272590725,263217967,177416098,186730479,186730477,177416097,166870424,166870423,155178919,142535912,129160073,260024228,258781418,60788133,256967796,30854571,30854570,31258922,30854569,255485630,17146543,23423734,17444842,12296926,8305222,254846317,17444840,23774132,256514539,49950644,61427997,74206472,87809702,101782052,101782050,101782049,115828210,272259749,129727319,261826961,261187006,115828216,115828217,129727321,143057948,155607338,167238194,155607333,273355770,187013321,177734686,262248838,143057946,143057947,155607336,167238195,177734687,187013323,195095670,264280937,212618680,216534677,219781956,219781951,219781950,222522778,224876806,226920516,228701498,266023707,265868732,228701493,274523649,228701495,226920512,224876802,222522775,265429183,226920513,228701496,274598094,266121344,231662864,266252809,235083090,235083091,266532839,237653207,238358405,266810139,266736066,237653206,237653205,238358402,239001064,239592502,240139620,266959150,266919303,241116780,241474614,241474613,241886127,241552479,241552480,267095595,242674180,242674184,242328987,242328986,242674182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8135626, s2 = 13645291, dlinesl.size( ) = 2 s1 = 8135626, s2 = 13645291, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8135626, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8622567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8622567, s2 = 3185593, int(edited[s2]) = 0 s1 = 8622567, s2 = 3185593, d1 = 6, d2 = 6 Dl.O(d1) = 167423999,262347128,258889716,100230535 Dl.O(d2) = 167423999,262347128,258889716,100230535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8622567, s2 = 3185593, dlinesl.size( ) = 2 s1 = 8622567, s2 = 3185593, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8622567, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8366251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2636917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8258867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8229278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8406943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2953270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3370532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13352551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13352551, s2 = 14115962, int(edited[s2]) = 0 s1 = 13352551, s2 = 14115962, d1 = 12, d2 = 17 Dl.O(d1) = 254834949,8178603,12148946,12438931,12438932,8412352,5428795,3337259,1962621,1121057,628980,628979,1121055,1962616,3337249,5428780,5441849,5441848,8429793,12449000,17628350 Dl.O(d2) = 260133059,130019858,261844993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13352551, s2 = 14115962, dlinesl.size( ) = 2 s1 = 13352551, s2 = 14115962, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13352551, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 13448499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9561242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658464, s2 = 15056636, int(edited[s2]) = 0 s1 = 11658464, s2 = 15056636, d1 = 6, d2 = 0 Dl.O(d1) = 99981772 Dl.O(d2) = 74488338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658464, s2 = 15056636, dlinesl.size( ) = 2 s1 = 11658464, s2 = 15056636, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658464, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2955671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353359, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6876059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6876059, s2 = 8005582, int(edited[s2]) = 0 s1 = 6876059, s2 = 8005582, d1 = 13, d2 = 23 Dl.O(d1) = 259523723 Dl.O(d2) = 259767428,5480683,3372556,1984552,1984554,1984605,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,5963056,6594409,6594738,5963228,3728961,2232556,2232558,3728966,5963235,9114159,13339692,18738464,25315849,20910855,20910856,26674027,19856904,14226127,9779798,9779797,14226123,19856896,23379136,25465782,25465781,33213226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6876059, s2 = 8005582, dlinesl.size( ) = 24 s1 = 2642727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8465621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2957475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2957475, s2 = 14078354, int(edited[s2]) = 0 s1 = 2957475, s2 = 14078354, d1 = 9, d2 = 8 Dl.O(d1) = 88160313 Dl.O(d2) = 71463135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2957475, s2 = 14078354, dlinesl.size( ) = 2 s1 = 2957475, s2 = 14078354, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2957475, Dl.E( ) = 42, 1.72e-05 seconds used appending s1 = 6876227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1809957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1809957, s2 = 7571421, int(edited[s2]) = 0 s1 = 1809957, s2 = 7571421, d1 = 59, d2 = 56 Dl.O(d1) = 47409789,255688188,50287693,61767484,74551311,257228696,65903860,53837021,53837022,48681376,48681375,40051901,31370988,24588910,24588911,31220590,256511459,43208377,43208376,257854243,50072820,49049159,39119877,39119878,41178341,32362451,24745929,18272661,18272660,24745926,27070246,20175190,20175189,27070243,35156089,36696403,28205860,28205861,36696406,46582859,37177528,37177527,47070960,58447864,53836003,43311501,257265651,65903018,79265196,260356045,136183929,149435056,161726664,149435065,136183935,122219472,259738323,79265197,79265199,93391437,107813487,122219478,272434943,161726678,161726679,263002053,172884482,161726682,149435068,149435067,262547615,182782850,262547613,161726668,172884465,262052879,273665868,172884475,161726676,161726679,263002053,172884482,161726682,149435068,136183936,122219474,107813483,107813485,107813487,122219478,272434943,161726678,161726679,263002053,172884482,161726682,149435068,149435067,262547615,182782850,263411351,263779417,263779419,182782850,262547613,149435059,136183931,122219469,107813482,107813480,260952609,149435072,263002055 Dl.O(d2) = 182782867,191434825,191434823,191434824,263079782,262151485,261669906,98286115,258651971,258071134,4337894,6906578,10474831,8313287,5364148,5364149,8313293,258665433,255255680,21302425,18017453,18017454,24430363,31984876,40732911,40082027,256847808,31090341,31090340,33327842,25567389,18956889,254926870,29559802,29559803,28170267,21079113,15141212,15141210,17400804,12376661,12376660,11244217,11244216,16177307,17400379,17400378,18443516,17403624,12264857,12264859,254725884,17379136,12246777,268109485,8279837,8279838,12260213,17397358,268437867,259287947,261087973,152363511,155565308,167195369,263967532,261157360,259361256,268220770,29298634,21971912,21971911,29298631,29489201,29489202,38053031,47966271,59357490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1809957, s2 = 7571421, dlinesl.size( ) = 18 s1 = 1256702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8315309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8315309, s2 = 3657270, int(edited[s2]) = 0 s1 = 8315309, s2 = 3657270, d1 = 26, d2 = 31 Dl.O(d1) = 49999404,61477193,74255212,87859280,88250076,74619354,74619355,259452410,74255212,87859280,258282969,50343969,40318316,40318317,50343971,61827305,74619357,88250077,259530041,259530043,74619358,61827307,61827308,74255211,61477190,61477191,61276864,49797411,255971408,23615648,31099281 Dl.O(d2) = 211455100,206453263,200405583,193246671,184906408,175355450,164593676,152758857,140069057,126722110,112871013,270386886,71384038,58648691,58648688,47256596,37347176,28808803,21541365,15524978,15524981,21541369,28808808,24302848,17919350,255597033,31819180,37344796,43031991,43031990,53510633,65535573,268969480,46582264,50392004,40356994,40356995,37517400,28973716,21691246,15651275,15651274,21691244,28973712,30443008,23035646,16791592,16791591,23035644,21691563,15651479,10833246,7161171,4510287,2710223,1570090,892729,254098499,156043,156042,282507,503728,892723,1570079,2710202,4510246,255048939,10833123,255420163,28973708,34685064,26690757,19871398,18229292,18229291,19877449,19877448,17197436,255252889,13333726,18730165,25305635,33032187,41975334,52315705,256818060,48499489,38584590,30012438,30012439,38584592,48499490,59893568,72635795,86238433,100206678,114240959,128127733,141488923,154154474,165915381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8315309, s2 = 3657270, dlinesl.size( ) = 8 s1 = 8346704, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15182960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164500, s2 = 14164117, int(edited[s2]) = 0 s1 = 14164500, s2 = 14164117, d1 = 18, d2 = 0 Dl.O(d1) = 271365967,128839221,114939672,114939673,128839224,142196073,257663660,119031116,119031115,104847292,90678914,76809814,63707483,51899642,41599468,32697191,32697190,254860490,53148563,65133511,256533234,101588115,87620927,74016709,74016708,87620926,76986298,63875222,63875223,71413881,58680012,58680011,64139551,52287587,41946942,41946941,52287586,64139550,259014087,105430688,119668678,133543448,261958787,170518945,173217025,162117304,162117303,173217022,183067679,177311872,263001564,260952174,102252703,88253998,88253999 Dl.O(d2) = 152352,152317,152322,275638,490263,869179,1531877,2649555,4417321,7023575,10639126,15394184,254984492,37121086,256234860,41726681,32806405,255643159,13184770,8987709,5867816,3663629,2192430,1272982,1272984,254152183,795810,1272813,727565,727566,1272815,1300433,742057,421698,414248,233952,233953,414253,728025,1273537,2193124,1428837,1428836,1272334,1272333,254201961,746015,746017,454947,256375,141962,77786,77787,141967,256384,454729,454727,802610,1272553,795884,795882,1398523,2415995,4024911,3758148,2251208,1306329,795940,741873,741874,1300223,1398599,795935,795936,1398600,1411038,1411037,1395956,794066,449796,253207,139885,76411,41521,41520,76407,139875,234488,129412,70156,70155,129408,234483,234496,252371,233229,128538,128539,233237,413153,414347,414348,449514,252970,252969,413177,413178,726506,726438,726437,419705,236876,236877,419709,728661,728662,1274199,796282,451368,254327,140741,77039,77040,140743,254095457,144192,144191,133126,133127,131102,71126,254071271,21184,21194,38512,71160,79202,143990,259608,259835,426061,254095323,140135,76610,76611,130939,237189,420170,254146295,2232860,3729504,5964162,9115721,13342217,18742369,25321222,33049674,41993061,52332319,64182470,77329768,91249442,105471545,261426043,261962313,159215471,159215470,170553318,170553321,159215473,146842533,133585137,133585138,146842534,261433950,142196069,128839220,114939669,100887771,86907690,257783630,49155355,39229154,30631296,23208225,16936997,11853744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164500, s2 = 14164117, dlinesl.size( ) = 2 s1 = 14164500, s2 = 14164117, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164500, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 9325054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 473816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 473816, s2 = 14885239, int(edited[s2]) = 0 s1 = 473816, s2 = 14885239, d1 = 0, d2 = 0 Dl.O(d1) = 59961592,256757184,255755164,22695827,21035799,21035800,26898344,26898345,24299039,17916316,12693646,12693645,17916311,23938082,31429272,24299010,17916295,17916296,24299014,31694842,31694841,40387884,40510586,33647511,31814576,24299109,24299110,31814419,31814507,31814508,26948065,20063151,14379028,14379027,16927073,12693636,12693635,17916290,16927109,16927110,23194686,30615011,39211466,39211511,31658386,30615031,30615030,30615004,23194675,23194676,30615006,39211461,36887928,28391077,28391078,24299102,24299104,31814572,28232921,28232920,36726615,40353081,31814589,24299119,17916382,12693691,12693693,17916388,24299124,31814594,39211732,30615251,28611483,21376147,15394709,13625983,9330426,9330429,13625992,19085218,16927081,11847058,7918121,5034042,3047925,1775619,1775620,3047927,5034050,7918139,11847132,11847080,11847079,16927120,23194702,26665936,34657737,31814602,26665951,19850554,19850553,26665948,30615458,39211453,30614997,23194668,23194670,30614998,257013945,49138761,39211984,31289103,31289102,39964089,49980616,48168836,38259266,29693604,29693603,30615088,23194736,16927143,16927142,23194733,256469275,23195015,22106868,15995620,11104207,11104208,15995621,22106870,29440188,38003204,47918999,59312612,72047653,257007704,60438075,59596511,59555960,48169295,38259776,31658356,31658357,40353026,49138563,49138564,59555700,48168940,38259394,38259393,30516026,23100009,255131651,11779343,16843706,23100005,23666767,255163425,8251281,12221381,17348803,23666775,31154501,33166897,25424240,25424241,33166899,42123354,52478482,52675189,42288955,33308910,25547375,18934694,13499153,13499154,18934697,25547379,25547382,33308917,256588584,62963810,62963811,52550612,48815439,38894158,38894160,39175538,39175537,44551037,44551149,55397852,58838469,47452581,47452582,58838473,58838448,47452566,37544670,28999339,21714347,21714348,28999343,37544677,31090841,31090840,31090876,25192221,25192219,31090904,39769557,39769472,31090846,31090843,39769467,49789387,44551128,35173372,35173241,35173240,44550936,48168709,59555509,58928083,47545716,39869117,31186611,23696854,17374730,17374731,23696859,28073194,28073195,36540750,39175447,35173268,35173266,27084759,20186443,14483231,9965010,6549310,6549313,9965019,14483243,14996590,14996591,20901266,14996603,10327102,10327103,14996610,20901294,28073112,36540595,46401743,44550892,36540654,28073138,20901298,14996611,14996612,20901306,28073154,36540677,46401845,46401861,36540688,36540691,46401869,46402000,39490923,30884589,30884588,35173345,36540866,36540867,46402061,55397777,46401850,44551204,35173421,27084840,27084841,35173426,29757857,29757858,38327582,44551232,44551231,46402054,46402055,38327587,29757862,22396996,22396997,29757865,38327594,42110242,42110241,48237465,49462768,57752843,46401951,36540769,36540770,46401956,39286445,30689097,30689098,39286449,49212994,49951619,55397899,46631012,36743162,33245119,31259705,23774709,17445263,17445261,23774703,31259697,36540553,46401689,49462757,39529209,39529208,36540799,30918850,30918852,39529228,49462778,60865872,70447991,61429116,61429115,64442496,52567240,50265518,50193497,50193496,59687202,59687201,61429217,52567239,43416331,43416332,52567251,42206661,33245053,25494654,18889948,13461621,13461620,18889945,25494649,268104434,49111322,52567265,64442510,74207526,61429102,49951678,39934633,31259629,31259628,38390040,47471177,52567225,42206877,42206878,52567425,52567446,42206897,33245284,25494848,18890088,13461704,9205854,9205853,13461701,18890083,25494835,33245267,42206872,43416329,43416330,53942795,53942784,53942783,53942786,49951696,49951697,257645997,61429174,52550426,52550424,64424514,53942778,43416301,34315159,26437018,19698070,19698071,26437014,34315468,39036851,43416680,53943004,53942844,43416428,34315278,34315277,43416399,43416397,49278855,49278854,42192092,42192091,43416563,34315436,26436977,19698045,14123574,14123576,19698051,26436987,30751869,23329596,17062998,17062999,23329600,30751874,34315581,33232156,25483526,25483527,26437072,26437073,26437089,19698112,14123610,9716771,9716772,14123614,19698117,23443795,30872813,25483163,18880613,18880612,25483081,25483080,33231681,42191851,42191825,34315130,26436746,26436747,19697984,14123535,14123534,19697981,26436717,19697866,14123475,14123476,19697870,26436727,26436960,34315416,38282503,29715799,22359895,22359896,22358867,22306822,16160413,13454800,9201214,9201213,13454796,16207296,13454649,13454648,18880433,18880380,13454609,13454611,18880383,18880369,13454599,9201081,9201083,13454607,9201174,6024123,6024121,6024149,3768728,3768729,6024151,9201221,9201247,11266449,9351282,9351284,13655996,11266361,7479065,4726694,2847854,1652330,1652333,2847859,4726706,7479089,11266164,7478960,7478959,11266162,16206819,18880652,16207415,16207414,22359908,16207272,16207271,22359904,29715805,29714006,22358299,22358298,19698167,19698166,26437137,26437188,19698216,14123686,9716812,6392296,4011544,2404172,2404174,4011549,6392304,9716833,13211239,13211240,10014508,6581978,6581979,10014511,14554290,17352463,23671631,26436418,22359945,16207306,11266495,7479159,4726743,4726742,7479155,11266522,16207354,22360008,23946234,17600962,12423463,8396531,8396530,12423460,17600959,23055336,16808871,11754118,7848095,7848093,7848113,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5821773,5821777,8920985,8092974,8092975,12038000,12037997,9716638,9716637,14123370,11228162,7450259,4707253,2835711,1645082,935459,527196,527195,935454,1645074,2835694,4707219,7450153,7450152,11227843,7450070,7450071,11227848,16160343,22306742,22307075,22307082,16160597,11228014,11228015,12654078,10245763,10245764,14901510,14901495,14901496,17129152,12037930,12037928,11228002,11228003,16160580,17129294,12038016,8092981,5184953,5184952,254826887,5184925,5184924,8092924,12037911,16160839,11228155,11228109,7450223,4707237,4707236,7450219,11228103,16160672,11228059,11227850,7450073,4707158,2835671,2835670,4707160,7450084,11227866,16160366,22306772,29658856,38225061,257030425,255983073,23401684,29659414,29659415,23401877,23401876,23401726,22307100,22307101,27955184,27955183,29659222,29659380,29659382,29659410,22307274,16160764,16160763,22307272,29658842,22306756,16160353,11227854,11227855,16160355,22306758,29658846,27935681,20782704,20782702,255902139,16160717,11228086,7450207,7450208,11228088,16160720,12037970,8092959,5184943,5184945,8092967,12037985,11228129,11228131,16160800,22307328,21948810,21948808,29271634,37837845,47760345,258102101,57727510,57727511,70422415,83949100,83949096,259252575,86837502,73224850,60478225,49075028,43851908,43851905,43851904,54596332,47760336,37837830,37837828,46377136,46377137,38208711,38208710,46377279,36518080,28053438,20884375,14981642,10313609,6784159,4252883,4252881,6784156,10313600,14981622,20884338,28053383,36518000,38222703,38222702,29656740,29656739,28053318,20884297,20884296,268222097,16049594,22174210,29515861,38080383,29515970,25677074,19055136,13603146,9314719,9314718,13603143,19055129,25677062,29271618,21948798,21948796,29271612,29515926,31285198,39960087,46377158,36517928,28949661,21669947,15633331,15633332,21669952,23465716,30899297,39506703,42441274,33448186,25677212,20884304,14981604,14981603,20884302,21656211,28933933,37475447,42441253,33448168,25677190,19055198,13603178,9314732,6101742,3817792,3817791,6101736,9314724,13603161,19055163,25677118,33448089,29515894,22174232,16049610,11144089,7391685,7391687,11144096,16049620,19055182,19055181,21656283,15621193,15621194,19222962,13731664,13731665,19222965,25882391,28933997,24830366,18336937,18336935,24830357,32469843,25677134,19055171,19055172,25677140,29078806,21780813,15721820,15721819,21780807,29078795,24298994,24298996,31814436,31812465,24297171,17914638,17914639,22256908,17795873,12596465,8547420,8547419,12596458,17795862,15621206,10808261,7141777,4496726,2701893,2701892,4496723,7141770,10808247,15621184,21656267,28934013,28933987,28933986,31685416,38254649,37475442,28933925,21656207,21656205,28933918,24176798,24176799,31685413,31814921,30048686,30048687,38622495,48537418,39240763,30643839,23221020,16948062,11861538,11861539,16948063,23221022,30643843,23221029,16948068,11861541,7927306,5039359,5039360,7927308,11861545,255524029,30643860,30643858,30643852,30643853,39240787,49166814,60566153,73309305,60566132,49166783,49166782,60566131,73309306,61835779,61835775,61835776,74628030,74627994,257674651,50351534,40324672,31635394,24128416,17765287,12571512,12571513,17765289,24128419,24128446,17765303,12571519,12571518,17765300,24128441,31635430,40324723,50351589,61835796,61835724,61835723,74627968,74628045,74628047,88258354,88258304,88258303,102256550,260145207,88258365,259530659,102256573,88258331,88258329,102256571,257721508,101033202,97694942,97694941,111613591,125412622,125412624,111613593,270458842,97694939,83837243,83837244,83837239,83837240,257721516,57622032,46277680,36425012,36425011,46277679,57622028,269203790,27966506,20804072,20804071,27966503,268900659,57622018,70312396,83837223,70988880,58274467,46909430,46909431,58274470,70988884,74184717,257842788,39905785,39905786,49925276,61404862,74184726,87788963,101761841,115808016,111613545,97694902,97694901,111613543,111613550,97694906,83837212,70312387,70312388,83837213,97694907,111613552,125412585,138736418,138736436,125412605,125412606,137588605,272329278,125412609,138736422,151432179,163310873,174161411,174161412,174161416,167609037,167609038,174161415,165357047,153567859,140893593,270910428,99653122,85704761,72119412,59388073,47999476,256540356,38322603,38322602,48232750,54676068,54676067,59619812,59619811,72354528,85949536,99906758,260161167,272279085,156008727,143469648,143469647,139513016,126138093,112278837,98297336,84388703,70831347,58116472,58116470,58116471,70831345,259279769,93425428,79297635,65934995,53868209,53868210,65934993,70706101,70706097,270280667,84257564,72077308,258739223,72077324,85664285 Dl.O(d2) = 59961592,256757184,255755164,22695827,21035799,21035800,26898344,26898345,24299039,17916316,12693646,12693645,17916311,23938082,31429272,24299010,17916295,17916296,24299014,31694842,31694841,40387884,40510586,33647511,31814576,24299109,24299110,31814419,31814507,31814508,26948065,20063151,14379028,14379027,16927073,12693636,12693635,17916290,16927109,16927110,23194686,30615011,39211466,39211511,31658386,30615031,30615030,30615004,23194675,23194676,30615006,39211461,36887928,28391077,28391078,24299102,24299104,31814572,28232921,28232920,36726615,40353081,31814589,24299119,17916382,12693691,12693693,17916388,24299124,31814594,39211732,30615251,28611483,21376147,15394709,13625983,9330426,9330429,13625992,19085218,16927081,11847058,7918121,5034042,3047925,1775619,1775620,3047927,5034050,7918139,11847132,11847080,11847079,16927120,23194702,26665936,34657737,31814602,26665951,19850554,19850553,26665948,30615458,39211453,30614997,23194668,23194670,30614998,257013945,49138761,39211984,31289103,31289102,39964089,49980616,48168836,38259266,29693604,29693603,30615088,23194736,16927143,16927142,23194733,256469275,23195015,22106868,15995620,11104207,11104208,15995621,22106870,29440188,38003204,47918999,59312612,72047653,257007704,60438075,59596511,59555960,48169295,38259776,31658356,31658357,40353026,49138563,49138564,59555700,48168940,38259394,38259393,30516026,23100009,255131651,11779343,16843706,23100005,23666767,255163425,8251281,12221381,17348803,23666775,31154501,33166897,25424240,25424241,33166899,42123354,52478482,52675189,42288955,33308910,25547375,18934694,13499153,13499154,18934697,25547379,25547382,33308917,256588584,62963810,62963811,52550612,48815439,38894158,38894160,39175538,39175537,44551037,44551149,55397852,58838469,47452581,47452582,58838473,58838448,47452566,37544670,28999339,21714347,21714348,28999343,37544677,31090841,31090840,31090876,25192221,25192219,31090904,39769557,39769472,31090846,31090843,39769467,49789387,44551128,35173372,35173241,35173240,44550936,48168709,59555509,58928083,47545716,39869117,31186611,23696854,17374730,17374731,23696859,28073194,28073195,36540750,39175447,35173268,35173266,27084759,20186443,14483231,9965010,6549310,6549313,9965019,14483243,14996590,14996591,20901266,14996603,10327102,10327103,14996610,20901294,28073112,36540595,46401743,44550892,36540654,28073138,20901298,14996611,14996612,20901306,28073154,36540677,46401845,46401861,36540688,36540691,46401869,46402000,39490923,30884589,30884588,35173345,36540866,36540867,46402061,55397777,46401850,44551204,35173421,27084840,27084841,35173426,29757857,29757858,38327582,44551232,44551231,46402054,46402055,38327587,29757862,22396996,22396997,29757865,38327594,42110242,42110241,48237465,49462768,57752843,46401951,36540769,36540770,46401956,39286445,30689097,30689098,39286449,49212994,49951619,55397899,46631012,36743162,33245119,31259705,23774709,17445263,17445261,23774703,31259697,36540553,46401689,49462757,39529209,39529208,36540799,30918850,30918852,39529228,49462778,60865872,70447991,61429116,61429115,64442496,52567240,50265518,50193497,50193496,59687202,59687201,61429217,52567239,43416331,43416332,52567251,42206661,33245053,25494654,18889948,13461621,13461620,18889945,25494649,268104434,49111322,52567265,64442510,74207526,61429102,49951678,39934633,31259629,31259628,38390040,47471177,52567225,42206877,42206878,52567425,52567446,42206897,33245284,25494848,18890088,13461704,9205854,9205853,13461701,18890083,25494835,33245267,42206872,43416329,43416330,53942795,53942784,53942783,53942786,49951696,49951697,257645997,61429174,52550426,52550424,64424514,53942778,43416301,34315159,26437018,19698070,19698071,26437014,34315468,39036851,43416680,53943004,53942844,43416428,34315278,34315277,43416399,43416397,49278855,49278854,42192092,42192091,43416563,34315436,26436977,19698045,14123574,14123576,19698051,26436987,30751869,23329596,17062998,17062999,23329600,30751874,34315581,33232156,25483526,25483527,26437072,26437073,26437089,19698112,14123610,9716771,9716772,14123614,19698117,23443795,30872813,25483163,18880613,18880612,25483081,25483080,33231681,42191851,42191825,34315130,26436746,26436747,19697984,14123535,14123534,19697981,26436717,19697866,14123475,14123476,19697870,26436727,26436960,34315416,38282503,29715799,22359895,22359896,22358867,22306822,16160413,13454800,9201214,9201213,13454796,16207296,13454649,13454648,18880433,18880380,13454609,13454611,18880383,18880369,13454599,9201081,9201083,13454607,9201174,6024123,6024121,6024149,3768728,3768729,6024151,9201221,9201247,11266449,9351282,9351284,13655996,11266361,7479065,4726694,2847854,1652330,1652333,2847859,4726706,7479089,11266164,7478960,7478959,11266162,16206819,18880652,16207415,16207414,22359908,16207272,16207271,22359904,29715805,29714006,22358299,22358298,19698167,19698166,26437137,26437188,19698216,14123686,9716812,6392296,4011544,2404172,2404174,4011549,6392304,9716833,13211239,13211240,10014508,6581978,6581979,10014511,14554290,17352463,23671631,26436418,2235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65934993,70706101,70706097,270280667,84257564,72077308,258739223,72077324,85664285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 473816, s2 = 14885239, dlinesl.size( ) = 2 s1 = 473816, s2 = 14885239, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 473816, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 10187397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6826122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13181191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2961064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7979629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7979629, s2 = 2824763, int(edited[s2]) = 0 s1 = 7979629, s2 = 2824763, d1 = 18, d2 = 13 Dl.O(d1) = 26441057,26441058,26650512,31199588,31703686,25544723,18931809,17423964,17423965,23749421,31231660,23747895,17422465,17422466,23747899,267995876,19226702,254652756,12580993,12580994,17416286,23740539,23749136,31232641,31264809,23779580,23779579,24092567,17734806,12547980,12547979,17734801,23780507,23780505,17803265,12602709,12602707,17707737,12525780,12525781,17707740,17361270,12231545,8259207,5328525,3275307,3275306,5328522,8259202,12231529,254411902,24169393,28830721,21560021,15539027,10746724,10746725,254418584,12532290,8493685,5494699,5494698,8493683,12532288,17715593,24071948,24167356,17818345,12615577,12615578,17386738,16170837,16170838,17813274,12611456,12611457,12611464,12611465,12599997,12599996,9769569,9769572,14211204,254607558,21034152,15107960,15107961,21034155,17704128,12522496,12522497,17704132,17716757,17716755,17746628,16612463,11587116,7712813,7712810,11587109,16612448,16612436,11587098,11587096,16612434,14128146,14128145,19704133,26443283,34320638,43420874,53947030,66016996,256541646,97949962,84076173,70539311,70539312,84076170,70539309,70539310,257089082,79385296,66016990,256035300,93522140,93522144,88181450,85777796,72183429,257672200,72183379,59445047,48053397,38139916,38139917,257513975,72183385,72183397,85777820,99731805,88367956,74738980,61944413,50452944,40418461,40418462,50452947,61944414,74738981,79385309,93522147,99731771,85777864,72183426,59445083,59445082,59445057,48053402,38139920,29573521,22226548,268401557,38139922,48053404,59445059,259372215,102171311,99731779,259990231,99731855,99731856,88367954,88367953,85777814,72183392,59445052,48053399,48053400,59445054,258123707,85777854,99731841,99731765,85777788,72183372,72183373,85777791,99731768,113746194,113746260,99731845,99731846,106095219,260890837,120295775,106095218,102310482,88315144,74687644,74687646,88315147,102310490,116402382,130238420,133980237,146098548,146098549,156100271,261316643,116402354,116402353,127614842,271877453,116402395,130238433,261858715,133980240,271549161,105926189,260745783,116402344,102310514,88315158,74687650,61894117,61894118,74687652,88315163,102310519,116402406,116402383,116402362,102310476,102310477,260745787,143565468,146098551,146098534,261942493,261316641,130238394,143565459,156100268,262177727,139938086,261659011,164495140,166083651,156100264,143565453,130238387,116402342,116402341,116402391,102310505,88315153,88315154,88315160,270916469,116402401,130238441,143565488,143565492,156100291,165410128,153630225,140963951,127614840,127614839,259624176,114454593,114454594,128331711,141681502,130238438,116402399,116402400,130238440,130141549,116231552,102171340,102171341,116231553,130141550,141681534,141681533,154334010,164672369,152835889,140141267,259624170,164672374,166083653,154334013,260641092,128331760,132878516,132878517,146098506,141681499,128331707,128331708,260040706,114454604,100430070,100430069,114454639,114454630,100430062,86472839,72877251,60140518,48745898,48745899,60140520,67750047,259167631,86472812,72877239,60140506,60140507,72877241,86472816,86472844,100429987,86472791,86472790,72877254,258799703,100430015,86472807,86472806,100430011,114454556,128331681,115128298,101053540,87057420,87057421,101053542,115128295,101053538,101053537,100430041,258176506,72877245,86472824,100430035,114454555,100429995,86472797,72877228,60140501,48745891,48745892,60140503,72877234,86472782,86472781,100429973,100429981,114454539,100430004,86472801,72877231,72877232,259423925,114454568,259049236,92979849,107390614,121775372,128331678,141611103,260241134,100360731,86404444,72809239,60071910,60071909,72809234,86404441,100360724,114384232,128260666,114384241,114384242,128260682,141611078,154266900,141611146,128260741,128260740,141611139,141611137,154266950,164672398,166019598,154266942,154266941,141737734,128392341,128392340,141737716,141737715,262188423,261120333,112936308,98947128,98947126,112936304,126790747,112936288,112936289,126790750,140141275,152835898,164672388,154266946,154266947,164672405,175430388,166130128,166130126,166130130,273139502,149914618,140141271,140141270,152835893,164672381,154385234,152835922,140141307,126790786,112936325,112936324,114518215,126790755,112936292,98947112,85022016,85022017,98947114,112936297,126790757,114518201,100494369,86535646,72937358,60198128,60198130,72937363,86535653,98947130,85022031,85022032,98947132,260542493,99911271,99911269,113934263,272230532,114518213,114518210,100494376,100494377,114518211,128392348,128392312,260045481,86535625,72937347,60198119,60198118,72937346,86535621,100494342,113934254,99911263,85953487,72358195,72358194,259386373,113934249,108684090,94397037,94397036,106005011,99911272,85953494,72358215,72358216,85953495,99911275,270843925,72358192,85953482,72980808,258181328,66916266,80342599,80342598,94397046,259941781,98947144,94397069,94397041,80342639,66916269,66916270,78867751,257214874,53505916,65531593,66916237,80342597,66916248,66916249,66916278,66916277,78867776,77889896 Dl.O(d2) = 28880660,28880661,37422675,47330973,47331025,47331050,268618461,28880710,37422748,37422693,255847711,15576588,10774869,7119277,4482456,2693243,2693244,4482458,7119281,10774876,15576606,21604894,28880711,37422750,47331053,58719371,47330891,37422612,28880619,21604834,15576570,10774859,254505507,4482452,7119267,10774857,255044269,7119271,7119270,7119268,255044267,255847707,256881333,42779778,33748629,33748630,42779780,269514300,47330919,47330908,37422627,28880631,21604842,21604840,28880629,37422623,47330900,47330931,58719422,71449910,78867770,78867771,269514302,53505984,53505983,53505964,43026298,43026297,53505961,65531650,78867799,91811135,77890042,77890041,77890040,77890039,78867789,78508978,257214892,43026313,43026314,53505982,53230973,42779473,42779474,53230975,65219739,65531637,53505951,43026289,33968439,26129750,26129749,33748592,33748593,42779734,53231260,65220020,78508983,92555058,92555088,92555087,106005047,92555066,78867778,65531621,65531622,78508699,65219742,65219743,258446537,78508981,65220084,53231334,42779814,42779813,53231254,65220011,53231350,42779830,33748671,33748672,42779831,42779816,33748660,25940959,25940958,33748367,25940755,256162267,42779479,42779736,33748594,256679675,53231262,65220021,257829591,42779724,268505711,255288433,13780522,19277811,25940971,256679689,53231354,42779897,42779899,53231415,58492120,268614416,53231421,53231343,42779822,42779823,256327170,58492113,58492114,65220065,53231420,42779904,42779903,46938455,46938454,268613760,71218286,58496360,58496361,71218288,84787206,78509055,65220115,53231389,53231391,58496353,58496365,47117971,37220493,37220494,47117973,58496368,268920400,257447464,47117954,47117955,58496352,71218270,84787198,84782817,71213826,71213825,269314652,84782840,71213841,255404530,37216834,37216833,47113960,58492106,71213810,269314650,37220483,257447463,71218272,84782785,84782784,71218253,58496340,47117948,47117947,58496337,71218250,84787173,98714952,269782344,84787293,71218379,71218268,71218263,71218264,84787188,270292958,84787186,98714967,98711028,84782835,84782838,84782796,71213807,58492084,58492083,71213805,84782794,71218377,71218376,71218261,71218260,84787180,71218258,71218257,84787178,98710986,98710984,98714945,84787169,84782806,71213814,58492091,47113951,255404524,71213816,84782809,84782831,84782800,84782801,98710996,98711021,84782829,71213834,71213833,84782827,98711019,112706759,98711025,98711026,112706735,98714963,98714964,109370490,112710421,98714976,84787212,84787166,84787165,98714941,112710409,98714958,84787176,84787175,258058134,84787250,78508781,78508750,65219802,256867966,84782805,98711003,106873989,92554861,92554860,92554862,106873991,98711000,98710999,106874002,270292960,106873965,92554829,92554828,106873963,98714949,84787171,84787170,259928403,121142233,121142247,106873987,92554859,78508752,65219804,53231046,257829597,78508757,78508711,65219753,53230989,53230990,65219756,65219818,65219819,65219830,55250334,55250333,65219852,65219853,78508723,78508724,272532576,65219772,257829595,257829593,256162269,25940762,33748377,42779492,53230996,53231051,42779546,33748440,255695281,13780425,13780424,19277690,25940797,33748437,42779495,42779496,53231000,53231002,65219769,257237139,42779507,53231013,53231027,42779521,42779519,33748474,256679645,33748403,42779510,33748401,25940774,25940775,33748387,33748386,42779500,33748447,25940802,25940801,33748446,33748419,33748418,256162279,19277698,13780433,9448271,9448270,13780429,19277694,25940804,25940773,19277675,255288421,13780476,13780427,268153699,25940800,33748443,25940892,25940891,33748484,25940854,25940856,33748513,42779634,53231158,42779773,33748625,33748626,42779775,53231178,42779653,257237165,42779666,53231128,53231129,53231145,53231163,65219945,65219950,258446527,92555005,92555023,78508944,78508942,78508941,259704059,259704057,121142265,106874037,92554942,78508946,65219979,53231210,257829627,65219909,53231135,53231134,258446519,258446517,53231127,53231119,42779609,33748494,257237155,65219890,65219896,78481170,258372284,258446521,65219892,65219893,78508845,92554946,106874040,106722789,92417240,92417241,92554949,78508858,270556899,78508910,92554995,106874080,116394552,130228365,134771330,127615058,116394547,102304371,102304370,116394546,116394541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7979629, s2 = 2824763, dlinesl.size( ) = 2 s1 = 7979629, s2 = 2824763, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7979629, Dl.E( ) = 20, 1.81e-05 seconds used appending s1 = 8213985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9661979, s2 = 9663903, int(edited[s2]) = 0 s1 = 9661979, s2 = 9663903, d1 = 55, d2 = 45 Dl.O(d1) = 257309430,55292524,45833254,45833253,55292525,67630437,81095971,95153637,259158302,24808572,24808573,28542160,21318739,15348041,10602237,6995146,4396109,4396108,6995143,7025823,9413601,6167700,256159467,31368760,29277878,21953829,15862711,15862712,254420964,32338553,41153734,50479356,40442794,31748191,24237140,255569452,255593667,29965027,22600228,255307418,7600971,7600972,267942192,7329587,4630211,2789364,1618305,1618302,2789382,4630239,7329625,11054164,11608267,7728086,4891814,254245035,971767,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,4358715,6936378,6591602,6591467,6591465,9907504,6511660,4080532,2441675,2441677,4080538,6511667,9907514,14404506,12608610,8557487,254871903,17810148,24178530,31687346,258287829,88327437,260149449,102323239,88327430,258287825,257678635 Dl.O(d2) = 31687345,31687346,40381200,50415656,260746799,143581576,156117792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661979, s2 = 9663903, dlinesl.size( ) = 30 s1 = 2311045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2311045, s2 = 7901358, int(edited[s2]) = 0 s1 = 2311045, s2 = 7901358, d1 = 77, d2 = 69 Dl.O(d1) = 61910717,74704182,88331890 Dl.O(d2) = 267796546,23239312,16968911,16968912,16139585,11211818,7439184,7439183,11211816,16139583,22283515,255146204,16986726,267902982,1788283,1788284,3067500,3067501,5062669,5095255,5095254,8003446,11955567,17042130,12154651,8185071,8185069,12154647,11875670,268100677,23235996,256472387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2311045, s2 = 7901358, dlinesl.size( ) = 46 s1 = 8589331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6571523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6665473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6665473, s2 = 3931750, int(edited[s2]) = 0 s1 = 6665473, s2 = 3931750, d1 = 40, d2 = 8 Dl.O(d1) = 257098827,61958131,74758164 Dl.O(d2) = 141686865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6665473, s2 = 3931750, dlinesl.size( ) = 64 s1 = 2964587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2964587, s2 = 9350501, int(edited[s2]) = 0 s1 = 2964587, s2 = 9350501, d1 = 5, d2 = 2 Dl.O(d1) = 88395038 Dl.O(d2) = 17853100,24224837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2964587, s2 = 9350501, dlinesl.size( ) = 2 s1 = 2964587, s2 = 9350501, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2964587, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 11658924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658924, s2 = 2650930, int(edited[s2]) = 0 s1 = 11658924, s2 = 2650930, d1 = 6, d2 = 6 Dl.O(d1) = 48416740,38510817,255920687,16401622,255480053,25573289,20847767,20847766,28013466,36473863,46329270,57676036,70367671,258240836,258863284,125469144,138797142,151497533,163380125,174231787,183900916,192375251,199671957,205844327,210949799,264554534,218557695,221448700,223926557,226071905,227940339,229581550,231039903,232348603,233532256,234608172,235541475,234557379,233476454,232286194,230967990,229497481,227842298,225957974,223798183,221306281,218397160,214934666,210725593,261003726,199344149,191981601,183422595,173631442,162604519,150478977,137441821,123712408,109521317,268341360,95267970,81211986,67746679,55406619,44558881,35180349,27091508,27091507,20192678,14488313,9968666,6551620,254077348,14488312,20192676,27091506,35180348,28975326,21692820,254695404,37519043,47426849,58813941,48168844,44558872,44558871,44558878,55406617,64335180,77499537,91430725,105657251,119896388,127953330,114073128,100046716,86084000,86083999,95255776,81199718,81199719,95079234,95079241,109333948,123525453,130334118,116497433,102401947,88400680,86861081,86861082,100841570,88400671,74767376,61968552,61968551,74767374,88400668,260153845,128786947,114891418,259447027,73248516,60501501,60501500,49097851,39167652,30569793,23152384,255134775,255964891,255515296,14221346,14219957,9775964,7341405,6429443,6429446,4668027,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517 Dl.O(d2) = 48416740,38510817,255920687,16401622,255480053,25573289,20847767,20847766,28013466,36473863,46329270,57676036,70367671,258240836,258863284,125469144,138797142,151497533,163380125,174231787,183900916,192375251,199671957,205844327,210949799,264554534,218557695,221448700,223926557,226071905,227940339,229581550,231039903,232348603,233532256,234608172,235541475,234557379,233476454,232286194,230967990,229497481,227842298,225957974,223798183,221306281,218397160,214934666,210725593,261003726,199344149,191981601,183422595,173631442,162604519,150478977,137441821,123712408,109521317,268341360,95267970,81211986,67746679,55406619,44558881,35180349,27091508,27091507,20192678,14488313,9968666,6551620,254077348,14488312,20192676,27091506,35180348,28975326,21692820,254695404,37519043,47426849,58813941,48168844,44558872,44558871,44558878,55406617,64335180,77499537,91430725,105657251,119896388,127953330,114073128,100046716,86084000,86083999,95255776,81199718,81199719,95079234,95079241,109333948,123525453,130334118,116497433,102401947,88400680,86861081,86861082,100841570,88400671,74767376,61968552,61968551,74767374,88400668,260153845,128786947,114891418,259447027,73248516,60501501,60501500,49097851,39167652,30569793,23152384,255134775,255964891,255515296,14221346,14219957,9775964,7341405,6429443,6429446,4668027,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658924, s2 = 2650930, dlinesl.size( ) = 2 s1 = 11658924, s2 = 2650930, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658924, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11659040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659040, s2 = 6877515, int(edited[s2]) = 0 s1 = 11659040, s2 = 6877515, d1 = 1, d2 = 1 Dl.O(d1) = 61984318,270404933,259540381 Dl.O(d2) = 61984318,270404933,259540381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659040, s2 = 6877515, dlinesl.size( ) = 2 s1 = 11659040, s2 = 6877515, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659040, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7963996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9532700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8064290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8064290, s2 = 7807940, int(edited[s2]) = 0 s1 = 8064290, s2 = 7807940, d1 = 35, d2 = 13 Dl.O(d1) = 256850563,255822375,6977525,6935450,254330583,1507391,854692,254097567,271626,482702,854688,1507385,2611055,4355634,2612462,1508361,254119611,271804,150679,254074001,25169,25170,45343,82870,150684,254097595,855354,1508433,2612010,1508079,855151,855152,1508081,2607887,1505139,855825,483349,271971,271972,483350,855827,484734,254119763,1514869,2624589,4382221,6941807,10519860,6939329,6939328,10522183,10525373,12673102,10525369,6941667,6941666,10525367,15256238,255380398,6939414,4360840,4360841,6939416,254494179,4357592,6934833,10515801,15240864,10513818,6933165,4356209,4356210,6933167,10513820,6939411,4360839,2613056,2613055,4360837,6939408,255022679,10250380,10250381,10522292,10522291,15090174,15090175,15253093,15253092,21207451,15253242,15253241,17904636,12684356,12684233,255016610,255380498,269775655,98376038,112357796,271295414,258650390,74783336,88415004,260155105,261323067,156201410,156201411,167796689,175016674,260498382,152319693,139591248,259896298,130347735,116511258,112357789,112357788,259277150,152319689,156201414,156201408,261077468,130347728,139591243,126217258,126217259,116511247,116511246,102415579,88415003,74783335,270405023 Dl.O(d2) = 154805160,142171101,271662870,11844522,7916119,5353525,3290312,1934932,1934933,3290317,4976589,3006245,1746430,1746429,3006244,4976587,7839781,7889021,5010400,5010401,7889023,5010538,5010539,7889042,11810544,16880850,16880851,255475350,15340300,10595634,10595633,11934521,7987013,7987017,6990025,6990026,10595658,11810526,11810525,11222904,11222903,16153872,16881068,11810704,7889158,7889157,10596182,10596076,6990345,4392722,4392720,254497919,4392523,267899383,11810393,255133859,21311338,15341382,255824907,23141008,16880822,15340747,15340748,16880876,16792843,11741621,7839312,7839313,11741623,15339391,11222902,11222867,7446525,4704865,2834258,1644232,1644233,2834261,4704869,4392515,3431973,254353275,2834263,4704874,6989393,4392140,2631671,1519608,861608,861609,1519609,2631674,4392146,2632031,2632028,4392739,6990372,7446555,4704883,4704884,7446557,11222948,7888921,6990042,6990040,10595672,11299711,10595964,6990248,6990249,10595966,10596106,10596105,15340809,21309326,15339450,15339451,15340544,10596024,10596023,15340733,15340451,10595746,10594888,6989456,6989455,7446597,4704909,2834280,2834279,4704902,7446503,4704849,2834250,1644229,1644230,2834254,254237038,1644240,1644241,2834277,254332801,254332799,6990393,7446475,7446476,10595797,6990141,4392599,2631941,1519761,1519762,2631944,4392606,254729371,7888917,254373897,3029546,5010343,7888919,11222950,16153921,15340269,15340270,21310171,21308861,21308860,15340763,15340536,15340537,21310442,16153951,11222976,11222975,15340239,21310166,255243575,13189514,15338992,10594504,6989194,4392010,4392011,4392582,6990112,10595761,15340467,21310383,28533000,21310413,16153844,11222869,11222868,16153843,21310411,21310410,28532834,28532833,28532021,28532020,21310176,15340249,10710805,7076018,7076020,6989220,6989219,10594247,6989204,4392016,2631598,1519568,861589,861590,1519575,2631616,4392040,6989249,10594595,15339116,16226344,11279928,10594609,10594607,7487734,4731940,2851045,2851044,4731936,7487726,11279884,15339126,16226296,22384282,268081126,17712851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8064290, s2 = 7807940, dlinesl.size( ) = 18 s1 = 3415336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2652444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10173534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8468357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2966674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8205601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6827151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349569, s2 = 2966713, int(edited[s2]) = 0 s1 = 10349569, s2 = 2966713, d1 = 12, d2 = 22 Dl.O(d1) = 261370836,273202756,50448056,42461122,42461124,52864879,64783881,259053473 Dl.O(d2) = 88433407,269813290,10683798,7057705,7057704,10683796,255404909,28701243,268920561,270526601,256526664,9254283,9254285,254727161,6968197,5397383,3318908,1952457,1952454,3318903,5397371,6964408,6964410,6057065,3790024,2270486,1316865,1316864,2270480,3790008,6057035,9248509,13497805,9234607,254925453,18933266,24219898,24219899,21473358,15470873,15470874,14569278,10025507,6589091,254318962,1427320,811882,811884,1427324,2469408,4128109,6589103,10025525,14569301,17083062,11995306,8047088,5137084,5137083,6589094,6589095,10025513,14569284,15580152,15580153,15520589,10734108,7092170,7092172,10734110,15520594,10779673,10779674,254812110,28888229,28884590,21612108,15582888,15582889,16129024,21612478,16052866,11146268,11146267,16052810,16129010,21611886,21611887,21535690,15520760,10734198,7092218,4465459,4465458,7092215,10734190,15520740,21535655,28745350,28745349,35387844,40594638,256464012,37339957,37339956,38085492,29520937,22178429,254811736,37426901,37426900,29444796,22111050,22111049,22111551,15999506,11107458,7366860,7366861,11107461,11107903,11107904,16000226,254173124,22112767,16000593,11108159,11108158,16000590,16863580,23123451,23132597,30549427,39136717,30537788,30537787,30549756,29445883,23132362,254373540,11802962,7883351,5006545,5006546,7883357,11797382,11797380,16865787,16000376,11108019,11108018,16000067,11107793,7367037,4654064,4654065,7367042,11107806,16000090,16866477,16866478,23126417,30544860,30549768,29445857,22112357,22112349,16000145,16000146,11107952,7367137,4654118,4654117,3025967,1760271,1760272,3025971,5005261,7881700,11800931,11800932,16869985,16869994,23130496,16872208,16000005,16000004,16000232,16000234,22112414,23131686,16871604,16871605,254557664,15999375,11107366,11107365,15999373,16866757,11798334,11108148,7367240,7367239,11108144,11798032,11798031,11798794,11798793,16867129,11801050,7881790,5005337,5005336,6583117,4124615,4124617,6583121,10016020,14556132,14555758,10015592,10015591,7382263,7382265,254079424,11802407,10016278,6583347,4124787,4124788,6583354,10016283,14555679,11129346,11129176,7381912,4663633,4663631,6582830,4124397,2467395,2467394,4124393,4124321,2467357,1426243,811315,459754,459752,811329,1426282,2467432,4124473,6582941,7382063,4663764,4663767,7382077,254373393,268174190,7879710,11798540,16866920,23126725,29704977,22350230,16199692,16199690,14360522,9867581,9867582,6482033,6482032,6494193,9884138,14378122,14356278,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,2800288,4648804,7359253,11096536,15984063,22091051,254510554,11097618,7359833,7359832,11096995,7359497,7359499,7359494,7359493,11096985,15984808,254973678,11096948,11096947,15757076,21824302,29131341,254973346,20066478,20066477,26951049,254981606,29074626,30058373,22681590,22681589,25254268,18683361,18683362,14970337,14970336,10363511,6826845,6826846,255795207,36594592,46460835,57816939,57816935,46460833,46460834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14245603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14245603, s2 = 8374984, int(edited[s2]) = 0 s1 = 14245603, s2 = 8374984, d1 = 11, d2 = 5 Dl.O(d1) = 65256325,65256324,63299663,51581504,51581505,63299667,65256321,53266608,42813650,42813649,257831991,64440055,52564767,42204351,42204350,52564764,64440050,77608495,77558239,64440070,64440007,52564707,42204287,42204286,52564641,64439905,77608389,64439972,64439971,64439908,52564644,52564646,64439911,77608394,87841132,87841131,77608482,257202782,257793175,42204272,52564696,64439984,77608458,87614460,87614448,74010316,74010317,76736109,76736107,79254651,65891781,257264793,43298905,53824112,65891789,72686574,72686573,79254672,65891818,64625391,64625392,64625427,61229543,49750366,39731599,269823552,64625431,64625430,65257037,53267313,42814259,42814261,53267315,52725354,42338297,33357096,25596445,18986416,255674589,33357090,269086491,53824123,43298917,34200866,33357058,33357046,33357045,42338216,43359414,46862716,58230662,53883809,43359501,43359500,53883805,49801753,39782631,39782630,49801748,53883733,53883732,43359443,34259499,26381847,19647505,19647504,26381819,26381818,34259454,41898414,32960272,32960273,41898419,41897631,41897632,52233333,53883845,43359624,37468913,28928087,21651350,21651351,28928089,34259605,26381916,19647573,14082654,14082652,14082720,14082376,14082377,16891083,16891084,19647576,14082656,9686531,6371541,6371542,9686536,14082665,14082722,19647291,19647386,14082581,9686482,6371502,6371501,6371503,267942129,14082413,255307107,13895390,18157250,14082411,9686323,6371385,6371388,5701057,3547481,3547479,5701062,6355718,9665383,9686395,14082484,19647383,19647327,14082399,14082305,9686219,9686221,14082312,19647250,24605891,26343903,19615068,14056057,9909050,6512675,6512676,9686595,6371586,6371587,6355738,3987729,3987730,6355743,9665411,12875697,12875698,14406650,20093843,26982773,32194268,32194266,24605886,18157238,12875680,12875682,9535045,6255098,3915727,3915729,6255103,9535059,13895422,19421768,26114982,20093902,20093903,26982828,33951839,33782663,25972260,19305211,13803304,9465639,9465638,13803303,12792996,8697386,254884661,18046557,21954829,15863399,15863395,21954825,29279259,30532912,30532911,30620519,39217625,46786902,36909270,28411897,21190300,21190301,256304553,21395328,255831785,37148975,47038151,58410839,59680411,48293372,48293373,59680412,61562172,63883851,75637013,87942486,255439260,255439258,31377355,23880799,23880798,31377353,23880861,23880860,31377451,31377438,23880850,17535071,17535072,23880853,23880835,23880834,31377412,40059990,50081553,47769494,37846748,29279380,21954933,15863475,15863474,21954931,256147300,47769481,53183012,51068172,40927680,32150209,32150210,40927683,51068176,62697076,257808286,64259927,63413268,51670407,41428725,32568581,24915822,18409413,13076187,8910524,8910523,13076185,18409411,13076288,8910585,8910587,13076181,268118848,28211929,23419040,17142799,12047895,12047845,12047841,17142724,23418843,23418741,17142592,12047750,12047752,8550774,8550779,12600238,17729281,17729279,254107584,17775268,24060662,24060661,17826110,17826111,24195346,18865058,18865059,24102508,31585385,24079513,267793972,18863613,18863612,25463743,26650376,19836768,17731077,12544494,12540711,8501428,5502823,3392245,1999210,1142723,641011,254137223,1999202,3392226,5502790,8501359,8501360,6405225,4713479,2839548,2839547,4713476,7459271,11238554,267771972,29667473,29095050,23794205,23794206,25426701,25426702,29097201,33070406,28265293,28265292,36761118,255981374,37862952,29293662,21966667,21966666,29293660,34598524,43868802,53881856,52404269,42060370,33111120,25375772,18790765,13383996,9148435,9148436,9751461,14185171,19803546,26611505,21813400,21813399,29115009,34257418,26379849,19645804,14081138,9685353,6370676,6370677,9503076,6233087,3902417,2337143,2337144,3902421,6233095,9503081,6233115,3902437,3902436,3902438,3997501,3997502,3901886,2336876,1354446,772536,772537,772574,1354534,1386379,788496,788498,1386382,2395673,3997277,2395443,1386220,1386219,2395441,3997278,3997458,254463393,6370727,6370379,3997360,2395493,1386253,788407,446573,251305,138674,138673,251302,446567,788395,1386238,2395470,3997326,254677549,14080610,19645138,256187507,268311229,19366533,26045820,26045795,19366518,13852617,9502930,9502929,13852616,19366517,19366732,19366730,19645336,26379396,26379600,22195269,19645120,14080589,14080588,19645118,255892399,22195941,29538724,29538722,22197385,16068418,11157361,7400440,4675063,267789923,929200,929199,1633948,2816467,4675055,4675077,7400454,7286689,4595168,4595169,7286692,255066301,255363793,10319485,9991239,9991240,255338291,27143752,30898313,30898314,30417613,30417612,39006923,36551940,30417361,30417362,30417405,23012242,16772514,11726276,11726274,16772508,23012236,23012820,16773093,16772626,16772628,20227610,14515024,14515023,20227606,16176050,11243157,7462901,7462900,11243154,16176041,22321333,29672651,29672029,255510827,7828700,4969281,4969282,7828702,255127263,16773315,254807449,7828935,4969480,4969481,7829029,11727117,16773506,21665643,15629974,15629976,21665468,21665469,28944340,28944628,21665762,15630082,10816242,7148268,4501501,4501500,7148266,10816240,10816043,7148136,7148135,10816039,15629802,15630032,21665704,15630061,10816226,7148252,4501494,2705095,2705096,4501496,7148256,10816232,15630071,255647762,255647760,28944409,21665533,15629864,10816088,10816089,255418615,28944411,33825365,37486469,28944412,28944382,21665508,15629841,10816070,10816071,15629844,21665513,28944388,33825309,26007807,19334156,19334155,21665585,15629914,10816131,10816130,15629913,21665583,28944447,37486490,42186332,33226122,25477816,18876073,13451257,9198830,6022698,3767844,2257530,1310240,1310239,2257528,3767839,6022691,9198823,13451244,255665949,24253210,17875647,256045691,40459489,37504419,28961319,28961318,33669653,33226058 Dl.O(d2) = 24695923,18226741,18226742,24695926,256589285,31786165,31786164,40480677,34561965,26575228,19773135,19773136,256196421,24273177,17893395,12674467,12674465,17893392,24273173,31786129,40480633,40480610,40480600,40480601,31786179,24273208,24273209,31786181,40480584,40480585,40480594,40480593,50515742,50515744,40480596,40480597,50515746,40480667,256047291,17893406,17893407,24273198,31786162,40480674,50515825,62007386,50515820,50515819,46590795,36703925,28212835,21019365,21019364,28212833,36703920,46590790,57967223,70685182,57967262,57967261,70685292,62007327,62007326,70685255,70685256,57967260,258642457,258378630,98132762,258378626,258642453,86147586,86147585,74804041,74804040,88436616,101153934,87155947,84237941,84237940,86147587,88436614,84237891,72549397,72549396,86147565,86147572,86147573,88436612,74804027,74804028,74804029,74804030,84237968,93491178,98132774,84237967,70685294,57967264,57967263,59814274,48428427,48428426,53918872,65987602,74804035,62007314,50515728,50515727,62007312,74804031,72549383,59814258,59814259,72549384,86147553,86147560,72549391,72549392,74136190,74136189,87741781,101716036,115762191,129660036,128035984,114147047,114147046,100113427,100113426,114147050,114578189,114578190,115762189,106162550,91964440,91964441,106162551,258406064,114578194,114578195,100547428,86586291,86586292,100547430,100547431,259990000,72988999,60253415,48860540,256391430,22952931,16716268,16716266,21209414,19436908,13908123,11176019,11176015,16091289,21209398,15242848,10515576,10515577,15242852,19307698,13805356,9467108,6207508,3885323,2326497,1348569,1348570,2326503,3885336,6207533,6142811,3843600,2303043,2303045,3843610,6142830,9377079,13692202,13781668,9448994,6194721,6194720,9448985,13781655,19279362,25942755,20133606,20133605,25282647,18709845,18709846,25282653,19173811,16301742,16301741,22470844,28282417,33750214,33750215,36946928,36946929,33785551,33785550,42818259,42655847,33626965,33626966,25974931,19307593,13805287,9467060,9467061,13805291,19307514,19307513,25974814,27026190,20133892,14440396,14440394,20133889,25975100,33785724,33750179,25942725,25942724,27025808,33785482,33785481,33515188,25735802,25735803,255457314,22226249,268223120,29570337,29570338,38136522,48049586,38137129,30626162,254526876,11851573,11851571,16933629,22223610,18872223,13448242,11175800,11175798,16033236,22153376,25974806,19307510,13805235,9467029,6207461,6207460,4685164,2822931,2822933,4685259,7414663,11175629,7414708,7414706,11175344,11175345,11175382,11175383,9777760,9777759,14222918,14222917,16090915,11175941,7414854,4685368,2822997,2822996,4685362,7414845,11175930,16091193,22224322,22224124,22224125,29570711,29570463,255080928,38136254,38136253,48049688,41738941,32818056,255080864,29570326,29570327,33004009,41738898,32818003,32818004,41738899,38136854,38136853,38141666,48050387,255080860,85774681,255457386,52053658,48050030,48050029,59441811,59441554,59441553,72180098,63872532,52053603,41738862,38137603,29571484,255080816,32818227,32818228,41738785,52053557,254236286,41880707,48050139,38136765,29570591,29570590,254769452,29571483,38137601,48050869,41738787,268084188,55717662,55717660,65109533,53123887,53123888,65109540,256933824,58163724,58163725,258123634,106730747,92424843,78387650,78387649,86902913,73292822,73292821,72181834,72181835,81602749,81602750,92429259,78392543,78392542,72180068,59441530,48049721,38136294,38136295,48049726,59441538,59446678,72184767,85776072,85776073,255895674,59443596,48052109,38138872,29572662,29572661,38138867,48052105,59443586,72181825,81602763,95635640,85774548,72180114,59441577,48049780,48049781,59441579,53117572,42665548,33635941,25832984,25832983,33635938,42665543,53117568,65104286,59441589,48049788,48049787,59441587,72180124,65103965,65103966,78387645,65104227,65104226,59441582,59441583,72180121,78387784,65104194,65104166,53117454,256673051,25832937,25832938,256673053,48049790,38136376,29570235,29570236,36702303,46589075,57965449,48049828,38136403,38136404,42665463,257230589,42665477,53117501,59441694,53117503,53117502,256934010,53117538,53117433,53117432,64049350,64049351,53117580,42665555,42665554,257822941,55205501,55205464,44354885,34977241,34977240,44354884,52093987,52093988,55205371,44354812,44354811,55205374,55205499,59441626,72180161,258123778,113742119,113742118,256563806,72180155,59441619,256933996,258123776,40285994,40285997,40285996,257092248,74572444,81018919,67549179,55205348,55205349,44354932,44354933,38327163,29757565,22396787,16236456,11288119,7494704,4737705,4737704,7494701,11288114,16236450,255844138,11226978,11226976,16159163,22305206,29657047,37846052,37846053,47768738,48133224,38223196,38223197,48133226,59520401,72254305,85774360,73180186,60433276,255622318,48133082,38223185,29657122,22305250,22305249,29657118,38223181,30396291,30396293,29657145,22305269,16159206,16159205,22305267,21954586,16159170,11226981,7449379,4706636,4706637,7449384,11226994,16159187,22305243,29657107,29278831,21954541,21954540,25228496,25228494,32947412,38983850,38983849,38223050,38223051,37698091,29137335,21829965,15761792,15761796,21829969,29137340,31997370,40751284,50864950,62460390,59167424,47768765,37846085,29278845,29278846,37846087,47621285,37698050,29137301,21829941,21829940,29137300,37698048,47621281,52210728,52210729,59520297,256607790,255634878,59443918,59520282,59520280,48133063,38223064,38223063,48133061,59520293,59520277,48133048,48133047,59520275,63322500,256053702,268694098,29137298,37698044,37698072,37698071,47621305,59024713,59520359,48133160,38223149,38223148,48133157,48133163,38223151,29657095,29657096,38223153,48133165,59520295,52701570,52701569,64602321,77785470,72254262,72182074,72182073,72182041,72182040,254901920,48905499,41835856,41835857,52155555,63942384,77056377,87208182,73585993,73585994,65760663,53703555,52183476,50912700,50912701,40795523,40795522,40795521,50912710,51648381,42774198,42774197,53224820,53224836,62410235,62410236,75308227,76362874,63331532,51607767,51607768,51648356,256603494,255631874,18663033,13271255,255245871,25231904,30896021,29657084,29657082,38223130,39503093,34592987,30896193,30896192,34310477,30895663,23462543,23462542,30895660,30896165,39503099,48137133,48044731,41628158,32721842,25035028,18501615,18501614,25035026,26432522,19694462,14121072,9715134,267868969,2403855,2403856,269504148,14121089,19694486,26432553,26432503,26432501,19694457,19694456,26432516,26309697,19584785,14031144,9646443,9646442,14031141,19584779,14111295,14111296,14121166,16157047,16157045,22302714,29654386,26432390,25825038,25825039,33626865,38220405,43411662,34310325,34310326,34310345,29169488,21860077,21860076,29169486,37729603,29169316,21859879,15787458,268030570,15602052,10793537,7448321,7448319,6528484,4090605,4090604,6528482,254977149,20133669,27025897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14245603, s2 = 8374984, dlinesl.size( ) = 2 s1 = 14245603, s2 = 8374984, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14245603, Dl.E( ) = 12, 1.81e-05 seconds used appending s1 = 2967211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2967211, s2 = 14077469, int(edited[s2]) = 0 s1 = 2967211, s2 = 14077469, d1 = 16, d2 = 27 Dl.O(d1) = 88444677 Dl.O(d2) = 3473452,3473453,267916599,12679330,17899300,24279755,23876417,17899297,17899298,24279752,258052528,10650436,254732804,2654556,2666023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2967211, s2 = 14077469, dlinesl.size( ) = 2 s1 = 2967211, s2 = 14077469, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2967211, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 8317085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756738, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11659064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659064, s2 = 9186868, int(edited[s2]) = 0 s1 = 11659064, s2 = 9186868, d1 = 0, d2 = 0 Dl.O(d1) = 112956229,98966775,94353756,80297338,66868099,54610108,256721731,26609867,19802056,14184061,9750723,6411303,4022118,2409966,1394426,1394428,2409971,4022109,4022110,4022166,6411393,9750771,6411336,4022137,4022138,6411340,9750777,14184135,19801954,14183971,9750662,6411273,6411274,9750668,14183978,14184151,255313603,23620545,30597123,23178059,16913294,11836678,11836679,10457923,10457922,15164361,21110336,28320648,256836319,34597030,26610183,19802337,14184257,14184258,19802339,256198701,43210136,43210137,42676626,33647113,33647112,255137784,254561304,15476687,21479512,28736873,29492376,31885065,33647078,42676579,38056443,29492352,22153311,22153309,29492349,25437770,18841652,18841651,25437766,268387886,11174449,11174450,13704633,9386528,9386526,13704631,19189302,18841670,18841671,25437791,33182890,26609638,19801849,19801848,26609636,34596737,43867089,52063726,41749925,32829216,32829217,25437806,25437808,255693876,52500971,52500891,42142370,42142371,33647099,25843506,25843502,33647091,39500993,30893725,23460786,23460787,30893727,39500997,46454209,46454210,49432109,58266526,70981887,70980023,60522728,49121637,46900367,39194004,39194003,49121639,60522730,70511477,77543487,73266240,60521118,49119770,39191672,31042010,31042011,31396664,40077847,50098566,42507990,42507991,52917433,61578514,61578513,60521932,60521931,55347779,44501452,35123603,254375590,55347778,49120803,39192970,39192971,39193130,39193140,30595950,30595949,30595930,23176995,16912455,16912458,17974538,12737974,8655910,8655911,12737979,17974544,23559539,31042091,39719629,39719628,49738409,47913351,37997437,29434773,23175956,16911576,16911577,22587719,22587720,29951469,38516015,48045449,48045450,48045457,38132098,29566293,29566292,29566295,29566294,38131957,29566112,29566110,33370029,33370030,30596709,30596708,39193839,38132182,38132069,38132068,35034812,26954793,20070503,14386973,9892593,9892595,14386975,16176358,11243411,7463069,7463065,11243403,16176343,22321669,29672995,38132094,29566291,22220355,16088286,16088285,22220354,29566289,38132092,48045453,49122164,53119432,48215043,38305091,29737137,22379062,16222451,16222450,22379059,25834765,19181769,13698266,9381624,6146126,3845940,2304508,2304507,3845938,6146122,9381614,13698244,19181731,25834687,33637598,25836813,25836812,33637847,25834926,25834927,25835110,25835111,25834661,19181720,19181721,25834663,25834816,19181805,13698285,255283203,19183319,19183320,25836640,19183351,13699521,13699520,268305515,33637747,25836654,19183328,13699500,13699501,13699652,19183467,13699634,13699633,19183466,25836795,33637751,33637752,256673207,25835341,19182206,13698545,9381780,6146209,6146208,9381778,255283241,9382464,9382465,255283399,25836635,256673313,32827005,25122799,22138485,16021605,11124107,7378402,254523304,2808259,267889627,11124102,16021595,19183111,20864579,20864581,25835250,25835251,33638186,42667753,53119626,257823099,42668062,41747613,32827007,25122801,18571115,13196924,13196925,18571116,25122803,32827010,33638604,42668083,38037962,29475133,22138393,16021518,11124045,11124046,16021520,11540950,11540951,16557370,22771608,30159928,32454254,32454255,254793708,22771619,22771620,255111872,22771534,22771533,18327226,13009624,8857184,8857183,256086561,41295458,51512188,63225386,68057190,255304934,27201360,35325529,44751914,55660244,68057200,81544198,95574816,95574807,95574806,95253099,81196986,81196987,85842959,81544194,68057197,68057198,81544195,95574811,95253103,95253102,109507341,123699162,136181405,122216696,109583257,95328047,85842966,85842965,99795449,113809310,258320760,95328040,95327992,81268735,259798549,95327988,95327990,95328011,95328010,109583225,123773448,109583222,109583223,123773444,109583213,259410640,67801041,55459494,55459493,67801047,81268753,67801072,55459508,44611117,44611116,55459506,258542399,76240962,90050117,259171227,67801008,55459448,55459449,44611095,35230029,27135569,20229103,14516050,14516048,20229099,256231117,44611081,51512172,63225364,258371920,104179957,90050030,76240882,63225317,51512137,51512138,258352727,63225323,63225326,76240901,81273504,259171565,81273497,81273496,76240882,76240883,90050029,270499330,109583200,116607085,104179996,104179995,258999084,118337478,116607087,116607086,109587493,109587492,123777566,132152966,260222735,258979465,76240881,270499330,109583200,102502096,88493123,88493125,102502078,260411237,261205192,95332465,81273507,67806146,67806147,74542540,88157183,74542528,74542527,270910091,88493094,74855898,74542535,61758882,61758883,257106879,31830246,24312393,17927116,12702128,8629801,5611661,3485511,2069759,1188518,667758,370421,202800,110606 Dl.O(d2) = 112956229,98966775,94353756,80297338,66868099,54610108,256721731,26609867,19802056,14184061,9750723,6411303,4022118,2409966,1394426,1394428,2409971,4022109,4022110,4022166,6411393,9750771,6411336,4022137,4022138,6411340,9750777,14184135,19801954,14183971,9750662,6411273,6411274,9750668,14183978,14184151,255313603,23620545,30597123,23178059,16913294,11836678,11836679,10457923,10457922,15164361,21110336,28320648,256836319,34597030,26610183,19802337,14184257,14184258,19802339,256198701,43210136,43210137,42676626,33647113,33647112,255137784,254561304,15476687,21479512,28736873,29492376,31885065,33647078,42676579,38056443,29492352,22153311,22153309,29492349,25437770,18841652,18841651,25437766,268387886,11174449,11174450,13704633,9386528,9386526,13704631,19189302,18841670,18841671,25437791,33182890,26609638,19801849,19801848,26609636,34596737,43867089,52063726,41749925,32829216,32829217,25437806,25437808,255693876,52500971,52500891,42142370,42142371,33647099,25843506,25843502,33647091,39500993,30893725,23460786,23460787,30893727,39500997,46454209,46454210,49432109,58266526,70981887,70980023,60522728,49121637,46900367,39194004,39194003,49121639,60522730,70511477,77543487,73266240,60521118,49119770,39191672,31042010,31042011,31396664,40077847,50098566,42507990,42507991,52917433,61578514,61578513,60521932,60521931,55347779,44501452,35123603,254375590,55347778,49120803,39192970,39192971,39193130,39193140,30595950,30595949,30595930,23176995,16912455,16912458,17974538,12737974,8655910,8655911,12737979,17974544,23559539,31042091,39719629,39719628,49738409,47913351,37997437,29434773,23175956,16911576,16911577,22587719,22587720,29951469,38516015,48045449,48045450,48045457,38132098,29566293,29566292,29566295,29566294,38131957,29566112,29566110,33370029,33370030,30596709,30596708,39193839,38132182,38132069,38132068,35034812,26954793,20070503,14386973,9892593,9892595,14386975,16176358,11243411,7463069,7463065,11243403,16176343,22321669,29672995,38132094,29566291,22220355,16088286,16088285,22220354,29566289,38132092,48045453,49122164,53119432,48215043,38305091,29737137,22379062,16222451,16222450,22379059,25834765,19181769,13698266,9381624,6146126,3845940,2304508,2304507,3845938,6146122,9381614,13698244,19181731,25834687,33637598,25836813,25836812,33637847,25834926,25834927,25835110,25835111,25834661,19181720,19181721,25834663,25834816,19181805,13698285,255283203,19183319,19183320,25836640,19183351,13699521,13699520,268305515,33637747,25836654,19183328,13699500,13699501,13699652,19183467,13699634,13699633,19183466,25836795,33637751,33637752,256673207,25835341,19182206,13698545,9381780,6146209,6146208,9381778,255283241,9382464,9382465,255283399,25836635,256673313,32827005,25122799,22138485,16021605,11124107,7378402,254523304,2808259,267889627,11124102,16021595,19183111,20864579,20864581,25835250,25835251,33638186,42667753,53119626,257823099,42668062,41747613,32827007,25122801,18571115,13196924,13196925,18571116,25122803,32827010,33638604,42668083,38037962,29475133,22138393,16021518,11124045,11124046,16021520,11540950,11540951,16557370,22771608,30159928,32454254,32454255,254793708,22771619,22771620,255111872,22771534,22771533,18327226,13009624,8857184,8857183,256086561,41295458,51512188,63225386,68057190,255304934,27201360,35325529,44751914,55660244,68057200,81544198,95574816,95574807,95574806,95253099,81196986,81196987,85842959,81544194,68057197,68057198,81544195,95574811,95253103,95253102,109507341,123699162,136181405,122216696,109583257,95328047,85842966,85842965,99795449,113809310,258320760,95328040,95327992,81268735,259798549,95327988,95327990,95328011,95328010,109583225,123773448,109583222,109583223,123773444,109583213,259410640,67801041,55459494,55459493,67801047,81268753,67801072,55459508,44611117,44611116,55459506,258542399,76240962,90050117,259171227,67801008,55459448,55459449,44611095,35230029,27135569,20229103,14516050,14516048,20229099,256231117,44611081,51512172,63225364,258371920,104179957,90050030,76240882,63225317,51512137,51512138,258352727,63225323,63225326,76240901,81273504,259171565,81273497,81273496,76240882,76240883,90050029,270499330,109583200,116607085,104179996,104179995,258999084,118337478,116607087,116607086,109587493,109587492,123777566,132152966,260222735,258979465,76240881,270499330,109583200,102502096,88493123,88493125,102502078,260411237,261205192,95332465,81273507,67806146,67806147,74542540,88157183,74542528,74542527,270910091,88493094,74855898,74542535,61758882,61758883,257106879,31830246,24312393,17927116,12702128,8629801,5611661,3485511,2069759,1188518,667758,370421,202800,110606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659064, s2 = 9186868, dlinesl.size( ) = 2 s1 = 11659064, s2 = 9186868, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659064, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 16229471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054734, s2 = 16273570, int(edited[s2]) = 0 s1 = 15054734, s2 = 16273570, d1 = 23, d2 = 25 Dl.O(d1) = 78434389,65152532,53168196,42718700,268504459,19222801,13731575,9406895,6163136,254664009,7679322,6750303,4229788,4229789,267791873,267752867,304949,304950,544227,965827,1698616,2928322,268675434,6808652,6808653,4278068,2557805,2557804,2549024,1468404,1468406,2549028,4263554,6799062,6778396,4791791,2888381,2888382,4298106,5930114,9068963,10346710,10346711,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228195,6747842,5936012,4285703,2562254,2562253,4285699,6831063,10309432,6780718,4250367,4250368,4277754,6819383,6839883,6839882,4298848,254488305,6832031,4286373,2562634,1475719,1475718,2562631,4286367,6832020,6842652,6842653,8126162,5206082,5206084,8126171,9096637,6794019,6794016,6751962,6751963,6757668,6757887,4234769,4234768,6757880,10282041,13288640,13288641,10264458,10264460,6839181,6839183,4459909,4459908,5922961,9059046,5951943,5951940,5952021,5952019,9097310,10369700,6831942,5208754,3177860,3177859,5208749,8130048,5413188,3327473,1956814,1956815,1287670,735231,735230,1287667,2219518,2833305,3182411,3182412,5217004,8143979,12112362,17230346,268433477,49714660,268613100,37053211,46931535,58297573,258668223,84577661,98503126,112498757,126370112,272528493,164337661,175132012,184710492,193074679,200252543,206315466 Dl.O(d2) = 216905226,213054799,208346018,202636799,195841695,187905535,178803157,168496509,157048536,144650119,131427449,117626376,103496054,89402297,75641303,257207498,40927807,269028765,62697279,64423982,52549966,52549965,64423975,270518877,105747137,99920658,85963009,258138819,48247147,38336806,29766060,22403431,16241366,11291493,7496876,7496877,11291494,16241367,22403433,29766061,38336807,48247150,59633983,72368213,72368214,85963015,99920670,113943938,261182923,153862473,141422458,141422457,154096050,154096056,141422448,128054005,128054006,141422449,154096054,165196784,154096041,154096034,141422423,141422424,141422433,141422420,128053975,114164345,114164346,128053976,141422422,154096032,165865120,176520375,167816716,167816715,167816711,156222548,143692122,132360490,132360489,145606884,158008715,169423765,167816728,156222558,143692131,130365283,130365282,130365293,132360488,145606882,143692151,260235984,102429718,88428171,74796128,61999676,50508176,50508175,61999673,258916999,102429708,116526774,112651246,112651247,126515364,139880438,145974876,261171338,154790845,142156695,128801853,114904558,100853816,86872778,73260311,60514325,49111574,39182119,30584383,23166404,254772184,16297107,20342836,20343896,14958633,10784207,7125473,7125475,10784209,15589134,21619322,28895054,35403858,35403859,44829436,55737117,64318120,52450385,42097425,33143192,25403215,25403216,33143193,42097427,52450390,64318131,64318124,64318123,71300119,84874640,98803251,112795802,258878424,152705892,140848208,140848209,140848202,127489984,113615827,99600660,99600659,113615825,113615832,113615831,113741329,99727170,99727169,99727197,85773436,72179082,59440628,59440627,59440631,72179087,85773442,85773441,81117765,74860452,74860453,74860454,74860455,88497312,97693721,97693726,258922814,102505976,113815060,127609850,259547910,102505978,111612289,97693728,83836086,70311233,57620863,46276449,46276448,55224960,44374202,34996012,26914604,24315520,24315519,31834132,24316343,24316344,24316356,31835117,40531879,40531880,40532880,40532879,50569477,62061910,74860449,259547905,116610603,126216517,112356994,98374990,84465940,70909643,58196878,46830855,36952823,28452561,21225724,21225725,256846947,46830856,58196880,70909644,84465941,272176726,139590581,262158341,164201365,263085935,184615871,192998437,200189449,264459837,264954795,221635671,220699450,217645984,213987464,209531003,204099478,197589701,189944807,181078987,170971634,159653960,147302814,134087075,271750630,91846899,77922683,258621340,52815616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054734, s2 = 16273570, dlinesl.size( ) = 2 s1 = 15054734, s2 = 16273570, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15054734, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 13295195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13295195, s2 = 15903390, int(edited[s2]) = 0 s1 = 13295195, s2 = 15903390, d1 = 7, d2 = 11 Dl.O(d1) = 59652425,60516180,49211923,49211922,39285845,30688614,30688615,39285847,49174386,59789926,48405407,38499955,38499956,47814385,47814384,42460863,42460864,52864675,64783704,53265297,42812262,36796621,28299315,268217164,44492346,35115407,35115406,38500060,30688364,23272036,23272037,30688367,39285504,49211882,39285460,268933980,11923676,7977731,7977732,11923678,17009769,23272031,30688354,39285483,33467245,33467248,25694730,25694728,30688518,30688560,30688561,25969521,25969520,26419451,19682923,19682922,26419447,34295802,39263782,41728438,41728437,41728509,40540490,31842268,24322651,24322649,31842263,40540481,256146227,19069540,19069541,19069650,13614024,9322028,6106381,3820727,2289062,2289063,3820729,6106386,9322036,13614038,19069671,25694708,26295057,19572856,19572821,19572822,26294997,26295074,33467443,33467093,33467091,37658502,33466982,25694385,19069490,13613952,13613951,19069485,25694375,32026462,25694359,19069476,19069475,14021269,14021270,19572843,22285735,22285734,24322633,24322632,25694734,25694736,24322350,17935023,17935021,24322341,31841899,26295102,19572889,19572890,26295091,26295092,29472730,25106008,18556801,18556800,19302949,19302948,18556812,18556814,24322497,31842088,25969490,19302915,19302917,25969500,26295138,24464592,18045174,12792031,12792029,18045165,24464579,25105294,25106208,32808322,25106143,25106144,25106182,25106183,25694679,25694682,23215609,16943489,16943490,23215613,22136377,16020019,16020020,21489869,21489868,28749193,31841891,31841892,24464534,24464532,24322445,24322444,22136452,16020058,16020059,19069504,19069503,25694405,28746025,21487838,21487835,28746018,28749119,28749118,21489919,18556792,13185710,13185709,14021318,9638406,9638407,8988333,5868245,3663982,3663981,5868240,8988320,13185761,18556889,25106136,21469022,15467351,10695085,10695087,15467361,21469037,18555686,13184911,12708284,12708282,17935199,24322191,17934906,17934905,17935206,24322609,31841740,25105451,18556336,13185414,8988108,5868111,5868112,8988110,8696748,5660642,5660641,8696746,12791985,17934965,17934966,18556020,18556021,256051707,25886401,25886402,21937775,21937776,29258566,37823533,31841620,24322058,18557006,18557007,24322061,255206849,12708037,17934809,24322059,31841622,40539879,50576346,62068789,74867221,88503466,102511577,260760411,116615462,261331095,273176173,195532784,202384005,208143721,212893244,216776956,219995820,222712399,224112148,221655816,218795333,215408374,211309392,206293092,200225779,193040913,184667340,175078236,164274146,152400234 Dl.O(d2) = 268648948,46883015,37004007,28505859,28505852,21286751,21286753,21286760,28505865,37004020,46883031,58250325,59725504,59725505,64772016,58250274,46882985,46882986,58071295,46699193,36816400,28320313,21109940,267910018,6893293,4327196,4327195,6893291,10457569,254849646,15166679,10459832,6894682,4327954,2589156,1492546,845169,845170,1492548,2589162,4327966,4328183,4328184,6895080,10460045,15167074,15168488,10461238,6895640,4328501,2589451,2589450,4328500,6895639,6895002,4328140,4328139,6894999,10460326,15167396,10461027,10461028,15168211,15168212,21114180,21114553,21114552,28324239,28324170,28324171,31424092,31424093,27992356,20827999,14929434,14929433,10266228,6745980,6745981,10266231,14929440,20828007,27992359,26948778,26948777,21196867,21196866,21249596,15283765,10549366,10549369,15283771,21249607,21220353,21220355,19432856,19432855,19432857,26127541,33965856,43023504,53503016,65528670,78864770,71541742,58812956,47425953,37518169,28974411,21691784,255420203,10833355,7161236,4510325,2710243,2710216,2710215,4510274,254507985,2710206,2710207,4510256,7161118,10833154,15651319,15651073,15651072,254743913,7161235,10833352,15651640,21691778,28974401,37518155,47425941,58812950,71541737,85113223,99038437,87584628,73984073,61204701,49725922,257043821,31030378,23549281,17241422,17241421,23549280,31030380,39707356,39707357,49725924,61204703,73984075,71650305,270305117,47545910,37639642,29089281,21791427,15733116,15733115,21791424,23161090,30578000,39175667,38196426,38196425,30053563,29089318,21791447,21791448,29089320,29089466,21791575,15733216,15733214,21791571,29089460,257477335,47546066,58928426,71650455,85216314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13295195, s2 = 15903390, dlinesl.size( ) = 2 s1 = 13295195, s2 = 15903390, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13295195, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 7634734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9479526, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8379417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8379417, s2 = 14090054, int(edited[s2]) = 0 s1 = 8379417, s2 = 14090054, d1 = 51, d2 = 58 Dl.O(d1) = 91822291,270004449,42399024,257845960,3811243,2941820,1706055,969812,969809,1706045,2941799,3834485,3834482,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111570,9330103,13610304,13610303,9319725,9319726,9329744,11400169,9305278,6095368,6095367,9305273,13589974,19038169,25656672,33424680,33393079,25627848,19012852,13569703,9290821,9290822,13569707,19012860,25620586,20010123,20010122,256147595,25626866,19012004,13569110,9290385,6085891,3807949,3807950,6085894,9290392,13569125,19012039,18581892,13205038,9352270,9352274,13657425,19127882,25767647,33557140,42574045,47323169,40457448,31762997,24251192,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431983,22431959,22431960,19144594,13669813,13669810,18989156,268496575,258292371 Dl.O(d2) = 260014914,260014916,260014918,259396878,109445148,123638470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8379417, s2 = 14090054, dlinesl.size( ) = 52 s1 = 2656879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9223553, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9694655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13372115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2971758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13331279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2972982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2972982, s2 = 13915244, int(edited[s2]) = 0 s1 = 2972982, s2 = 13915244, d1 = 30, d2 = 33 Dl.O(d1) = 89034236,75306176 Dl.O(d2) = 263109901,264181281,264963137,221721856,265542081,274553868,266215095,234738032,274721313,237390269,274829675,239394656,238784127,238784126,238120129,237390212,266505232,234738015,266583109,266725931,239394912,266790358,238784404,239394917,266901577,239958262,239395112,238784615,238784614,239395115,266848988,238784011,238119794,237389973,237389972,266725911,239394511,239957797,239958162,239394977,239394976,239958160,240480153,239958027,239395203,266847671,266951639,266998345,266952824,239957917,239957916,266951623,239958271,239395123,239395122,239958269,240480286,239958256,239958257,266849004,266847625,238784232,238120004,266584918,235706234,235706233,266583105,238120003,266788917,239957971,240480106,240964593,274901459,242896280,267120986,241828384,266999524,239957948,266790350,238784202,238784200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2972982, s2 = 13915244, dlinesl.size( ) = 2 s1 = 2972982, s2 = 13915244, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2972982, Dl.E( ) = 34, 1.12e-05 seconds used appending s1 = 6723239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6723239, s2 = 966025, int(edited[s2]) = 0 s1 = 6723239, s2 = 966025, d1 = 32, d2 = 31 Dl.O(d1) = 257726774 Dl.O(d2) = 257140718,256588804,75310238,254893068,31979827,24426270,254289782,254621987,3509621,254883103,18014227,255213358,254196160,13259201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6723239, s2 = 966025, dlinesl.size( ) = 46 s1 = 2973961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13476153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6817969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817969, s2 = 13301846, int(edited[s2]) = 0 s1 = 6817969, s2 = 13301846, d1 = 13, d2 = 33 Dl.O(d1) = 258824454 Dl.O(d2) = 2521746,4217770,6731956,10245771,14901519,20793800,256266825,27955186,20793761,16160754,16160755,22307260,21145667,21145668,28361129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6817969, s2 = 13301846, dlinesl.size( ) = 2 s1 = 6817969, s2 = 13301846, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6817969, Dl.E( ) = 62, 2.81e-05 seconds used appending s1 = 11660040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660040, s2 = 14366516, int(edited[s2]) = 0 s1 = 11660040, s2 = 14366516, d1 = 1, d2 = 2 Dl.O(d1) = 263662983,156900475,144490252,131255308,117446317,103310107,89214309,75461477,75461476,62538557,50934900,40815455,32054890,24488616,18064835,12807397,8708238,5669180,3526593,2098952,1208498,1208497,2098949,3526585,5669167,8708221,12807361,18064799,256062659,40815416,50934850,62538494,75461378,259570795,117446164,131255195,144490167,156900416,168362879,178687022,187807003,195758154,202566440,208288159,213007578,216865840,220064380,222392047,265226940,216358881,219629620,265226942,216358878,212414501 Dl.O(d2) = 212414499,216358876,216358879,212414505,207591589,207591590,207591594,201744186,194797114,263595090,166808470,155113943,142469569,272240350,101085137,87088501,73470679,60722362,49320063,39391978,30789465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660040, s2 = 14366516, dlinesl.size( ) = 2 s1 = 11660040, s2 = 14366516, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11660040, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 8370865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8370865, s2 = 9034058, int(edited[s2]) = 0 s1 = 8370865, s2 = 9034058, d1 = 33, d2 = 37 Dl.O(d1) = 260188499,260188501,103392691,89303061,75547100,270447109 Dl.O(d2) = 91416858,258399893,64322066,77486010,91416859,91416855,91416856,105642960,261971383,271035479,77486015,64322074,64322073,77486013,260271353,260271351,105642961,271539533,260271355,91416861,77486012,64322072,258399899,260271347,91416855,270022698,33148244,33148245,42102370,258399895,91416853,259069284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8370865, s2 = 9034058, dlinesl.size( ) = 30 s1 = 2663082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2663082, s2 = 7895696, int(edited[s2]) = 0 s1 = 2663082, s2 = 7895696, d1 = 4, d2 = 21 Dl.O(d1) = 75547941 Dl.O(d2) = 256739226,30823471,23395588,23395589,26901529,26901528,26926138,20041124,17196696,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,2800292,254350148,11096580,267946614,28864022,28864021,25639133,25639132,29131811,30723724,25144725,18589048,13209942,254357592,13986910,19534302,18516561,18516562,21131114,22091891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2663082, s2 = 7895696, dlinesl.size( ) = 8 s1 = 2977480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2977480, s2 = 2327690, int(edited[s2]) = 0 s1 = 2977480, s2 = 2327690, d1 = 14, d2 = 7 Dl.O(d1) = 89356287 Dl.O(d2) = 62652820,257126959 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9152481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9152481, s2 = 14129364, int(edited[s2]) = 0 s1 = 9152481, s2 = 14129364, d1 = 1, d2 = 1 Dl.O(d1) = 228174831,226326532,224203973,221756245,218903688,215525039,211436462,206434853,200387161,193227979,184886961,175335169,273103795,152737347,140047342,260536797,98859864,84932693,71355777,58618639,47225368,257396814,255841569,37316576,44354234,55204761,67548510,76755074,63662578,51867046,41576848,32681290,25003078,18476977,13126588,8946484,8946487,13125807,8946452,8946455,13126425,13126420,18333407,18333411,18479969,13128812,13128810,18479985,24545843,32124565,40899631,51038830,62667352,75612063,89375412,103472343,117603836,126155737,112295562,98312848,84403251,70845967,58131717,48177258,38267689,29701535,29487296,23565171,22275537,16132915,11206959,7436052,7436050,11206946,16132889,18826356,18826355,13413387,9171174,9171172,13413383,18826398,25418074,22347543,16197587,16197588,22347300,16197417,16197416,16132831,11206924,11206923,16132828,17072952,11984918,11984919,17072955,13407191,9166342,5999468,3752005,2246839,1303248,1303247,2246837,3752001,5999460,9166326,255145307,23087725,23087726,22347414,22347412,25934407,25934408,33741694,42772292,50125541,58141886,46774053,36895920,28398417,21178137,21178136,19271990,19271991,18819204,18819205,16197293,11259382,11259385,16197301,22347117,18727923,18727922,15513660,15513661,21525926,25933701,25410159,25410161,24755032,18279826,12974174,12974173,18279822,13061366,13061365,18388340,23934689,17591733,12417293,12417291,255570743,29612290,268307726,42773338,40008629,31330432,31330434,33741247,42709228,33679176,25873021,19214402,19214404,13775470,13775469,19271962,19273100,19273101,25935629,33742716,32531809,29579210,22231475,22231473,29579202,24888300,24888299,32533008,25935952,25935953,33743029,33741914,25934698,19272217,13775672,9444286,9444287,6919337,6919334,10493159,15211897,21170093,28388827,21170142,15211929,15211931,19273503,13776692,9444946,6191626,6191625,9444940,13776669,19273452,25936015,22275379,22275378,25935891,29612087,22261557,16121556,11198937,11198936,15207942,15207940,21164501,28382001,31425427,37819497,29254165,29254166,37819500,40403318,31711175,31711176,36885550,28388804,28388801,31711090,31711089,269006931,61927853,74721501,88349592,102345840,116438975,130275913,143603583,156138373,167740994,178194479,187418629 Dl.O(d2) = 228174831,226326532,224203973,221756245,218903688,215525039,211436462,206434853,200387161,193227979,184886961,175335169,273103795,152737347,140047342,260536797,98859864,84932693,71355777,58618639,47225368,257396814,255841569,37316576,44354234,55204761,67548510,76755074,63662578,51867046,41576848,32681290,25003078,18476977,13126588,8946484,8946487,13125807,8946452,8946455,13126425,13126420,18333407,18333411,18479969,13128812,13128810,18479985,24545843,32124565,40899631,51038830,62667352,75612063,89375412,103472343,117603836,126155737,112295562,98312848,84403251,70845967,58131717,48177258,38267689,29701535,29487296,23565171,22275537,16132915,11206959,7436052,7436050,11206946,16132889,18826356,18826355,13413387,9171174,9171172,13413383,18826398,25418074,22347543,16197587,16197588,22347300,16197417,16197416,16132831,11206924,11206923,16132828,17072952,11984918,11984919,17072955,13407191,9166342,5999468,3752005,2246839,1303248,1303247,2246837,3752001,5999460,9166326,255145307,23087725,23087726,22347414,22347412,25934407,25934408,33741694,42772292,50125541,58141886,46774053,36895920,28398417,21178137,21178136,19271990,19271991,18819204,18819205,16197293,11259382,11259385,16197301,22347117,18727923,18727922,15513660,15513661,21525926,25933701,25410159,25410161,24755032,18279826,12974174,12974173,18279822,13061366,13061365,18388340,23934689,17591733,12417293,12417291,255570743,29612290,268307726,42773338,40008629,31330432,31330434,33741247,42709228,33679176,25873021,19214402,19214404,13775470,13775469,19271962,19273100,19273101,25935629,33742716,32531809,29579210,22231475,22231473,29579202,24888300,24888299,32533008,25935952,25935953,33743029,33741914,25934698,19272217,13775672,9444286,9444287,6919337,6919334,10493159,15211897,21170093,28388827,21170142,15211929,15211931,19273503,13776692,9444946,6191626,6191625,9444940,13776669,19273452,25936015,22275379,22275378,25935891,29612087,22261557,16121556,11198937,11198936,15207942,15207940,21164501,28382001,31425427,37819497,29254165,29254166,37819500,40403318,31711175,31711176,36885550,28388804,28388801,31711090,31711089,269006931,61927853,74721501,88349592,102345840,116438975,130275913,143603583,156138373,167740994,178194479,187418629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9152481, s2 = 14129364, dlinesl.size( ) = 2 s1 = 9152481, s2 = 14129364, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9152481, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8412275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2978226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2978226, s2 = 12362306, int(edited[s2]) = 0 s1 = 2978226, s2 = 12362306, d1 = 2, d2 = 23 Dl.O(d1) = 89387669 Dl.O(d2) = 89387668,75626604,75626603,89387665,257128728 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164174, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2665629, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2666009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13206415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13206415, s2 = 9325052, int(edited[s2]) = 0 s1 = 13206415, s2 = 9325052, d1 = 91, d2 = 85 Dl.O(d1) = 209954,381833,684807 Dl.O(d2) = 256010293,268110729,254591243,5361076,4384195,4384196,5326423,5366085,5335327,5335326,3298386,3298385,3280728,3280729,254588501,12245600,12245603,8270655,8270656,8270366,8270367,12240257,255165421,12244967,8270128,5336489,5336487,8269507,7713055,5336551,5334255,3278964,3278963,267890995,1645686,2836848,4709185,7453336,5346684,3285887,1932361,1932360,3285877,5346664,8288061,12273258,11230461,11230459,8552965,5550633,3435652,3435650,5550628,8496117,5497475,267913565,8496136,254606245,3387279,1995360,1995362,3387282,5497480,254866153,12545776,12545777,267947874,8582017,5576200,5553730,3438085,2033968,2033969,3394452,5505751,5508454,5553572,3437994,2033916,1164941,1164940,2033910,3437979,5553544,8494641,8559934,12611249,12631369,12631367,12274213,12274210,12614986,8563031,8563028,11818851,8531332,8531334,8527924,8494835,8494833,5563874,3447514,2041465,2041463,3447507,5529476,8531398,8928380,8536593,5534572,5534570,7898088,5494012,5494010,5553002,5487959,3378648,1989039,1706878,1706881,1989022,2943486,2943485,4884917,7453563,4709344,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,3474366,254605749,12272770,8496357,5497722,5497723,5550605,3472254,2059644,2059639,3449310,3388319,1996118,1140744,639924,355251,194708,194707,353754,636920,1135118,1986816,3375702,3388238,3388239,3417676,5512125,3400180,2004657,2004660,2033667,2033668,3417042,5508505,3397039,3397040,5495614,3385634,3385635,5495618,5527896,3415457,3415456,5490828,5490829,5531556,5484960,3375832,3375831,5484957,5559897,5559898,8531691,5529811,5529813,5496521,3386409,1994745,1994746,1994813,3386529,5496643,3422501,3422499,5536982,8538947,12586638,12522399,8484144,5563022,5563021,8519867,8495274,8495275,8495323,8495322,8514429,8493419,254606189,5496978,5537026,3422539,3422540,5537030,8496778,5498129,3387860,3387861,5498133,8496780,11586690,8496268,254411295,3387424,3422723,3422722,5529819,3415693,3415691,5529816,5513364,5513365,8515116,8493705,5494720,3384824,1993573,1993574,1994294,3385784,3404511,3404509,254608495,5568231,5546026,3431718,3431719,254415901,2023091,2009670,1149150,1149151,2009672,1152422,1152420,2014776,254277629,1149129,644653,357770,195962,195961,357767,644645,648092,648093,1155160,1156348,2012478,2012479,1150970,647839,647836,1151155,254277019,3388971,5357113,3292884,254279261,1157814,1157813,2023173,2044547,1172176,657988,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13206415, s2 = 9325052, dlinesl.size( ) = 21 s1 = 11658268, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6617528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1976595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2666605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2330015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2667269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8264537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8264537, s2 = 11311702, int(edited[s2]) = 0 s1 = 8264537, s2 = 11311702, d1 = 0, d2 = 21 Dl.O(d1) = 12893453,255219796,32233597,41025999,51182553,62832626 Dl.O(d2) = 262312718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8264537, s2 = 11311702, dlinesl.size( ) = 20 s1 = 9203365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2669131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2669131, s2 = 11958142, int(edited[s2]) = 0 s1 = 2669131, s2 = 11958142, d1 = 0, d2 = 2 Dl.O(d1) = 41030399,257721427,75801059 Dl.O(d2) = 103699395,117853843,131682001,144930763,157344563,168783606,263295723,179063041,263295723,188128220,196028458,264322247,213151912,216979156,218640195,215218520,211064475,205981773,199833777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2669131, s2 = 11958142, dlinesl.size( ) = 2 s1 = 2669131, s2 = 11958142, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2669131, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 13603595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8096807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164164, s2 = 7984282, int(edited[s2]) = 0 s1 = 14164164, s2 = 7984282, d1 = 49, d2 = 51 Dl.O(d1) = 55469108,52122641,41807376,41807377,44620155,55469250,55469434,44620457,44620456,55469103,55469104,47727688,47727669,47727666,257553392,55469252,59126056,71864492,256501830,55325822,67665738,55469359,55469357,55469340,44620225,35237896,35237895,44620221,55469328,67810997,55469567,55469570,67665862,55325908,44479738,44479740,49785994,49785993,61265096,74044904,67665628,67665629,55325764,55325765,256972558,81278587,95337108,95190775,81132501,77984855,64791250,52872464,52872465,64791252,72082278,72082279,74044992,74044991,85233679,71668754,71668753,74774171,61977876,61977877,257172682,68098962,81588797,95622540,85233635,71668709,58947148,58947147,68098948,81588774,72082276,59348951,47958166,38045051,29481879,29481881,38045056,47958172,49927476,61406976,53055616,53055617,47958160,47958159,59348946,72082267,85668515,74186705,67811306,67811305,61264831,49785670,256501812,61977823,74493764,68099211,55701658,50231536,40210574,31524587,31524586,40210569,50231529,61711713,67811292,67811293,73584697,87207042,87207046,81132383,67665619,55325727,44479621,44479623,47958153,47958154,47958130,47958128,59348896,72082217,77607919,64677786,52762802,52762800,64677767,61264771,53055626,52563658,42203520,42203521,52563664,64438933,64698972,52785174,52785172,61977800,50485554,40449239,40449241,50485559,61977806,61711733,55701669,44794177,35369545,35369544,44794174,40210584,40210585,50231563,55701646,55701645,55325696,55325695,49433210,49433209,60835122,73584743,72988213,72988215,60835005,52564179,42203866,33242515,33242519,42203873,52564188,64439474,64438900,64438902,52563756,42203580,42203581,52563758,64439030,77607876,72988234,60252721,60252719,60835135,60835136,53060314,53060313,52563633,42203500,42203501,48859965,48859966,42203716,33242459,25492383,25492384,30354170,22952334,16715518,16715519,22952336,30354175,38940407,48859952,53060328,42612605,33588629,25792923,25792922,33588625,42612596,52564065,42203790,42203791,38940378,38940379,48859922,52563615,42203494,42203495,52563619,52564135,52564133,64439412,64438898,64438897,269081425,33242361,33242362,42203608,52563797,64439009,52563729,42203562,33242335,33242329,33242326,33242325,42203547,52563708,64438986,77607704,77608180,64439487,64439488,64439128,64438867,52564429,42204051,42204050,52564430,64439490,52564212,52564211,52563982,52563981,42203780,42203781,42203830,42203721,42203724,52288392,41947773,33005580,33005579,41947770,52288387,64140395,77289348,77289393,77289392,77607884,64439050,64140513,52288491,41947831,41947830,52288487,64140510,64438995,64439172,64439173,52563893,52563895,52563869,42203658,42203657,52563865,64439136,53060299,53060300,55468724,55468723,67810398,81277937,74195136,61416560,61416561,74195142,77607698,67810425,55468747,55468748,67810429,77289385,77608089,68099663,68099662,78272881,78272879,78273067,78273066,92299882,87798436,87798434,91209506,91209505,105431600,101770579,87798446,87798445,92299361,91537724,91537726,258914983,61977766,61977767,74774083,88405679,88405630,78272345,64999141,64999140,78272342,64999150,53024285,42584082,33566900,33566899,42584080,53024278,64999136,78272340,74774032,74774033,61977735,61977733,74774039,88405628,102405937,88405667,88405666,102405970,109827340,102405889,88405563,74773995,61977705,61977704,74773990,88405558,102405884,109591540,95337048,81278452,67811035,67811034,81278447,95337044,102405983,88405677,88405678,102405987,105431604,102405951,88405649,88405648,92299372,88405634,74774049,61977739,50485517,40449224,31754234,31754235,40449226,50485523,61977754,61426036,49948460,39931284,39931283,49948458,61426027,49948453,49948454,61426029,74204606,87807891,88405660,74774069,74774070,88405603,74774019,61977720,50485508,50485509,61977722,61977726,74774026,88405615,102405929,269505120,87798443,87807857,101780274,115826551,101780294,87807879,87807878,86835786,73223035,73223033,257481276,77407063,64257476,52402219,42058318,33109104,33109103,42058315,52402214,64257471,77407051,91325498,102405898,102405897,116501146,116501147,261224450,133646546,130337909,116501149,102405863,88405545,74773978,61977698,50485496,50485497,61977692,74773963,88405528,88257477,74627114,74627111,65000555,65000559,53025912,53025911,65000585,78273489,78273297,78273298,65000515,65000516,78273334,65000379,53025738,42585986,33569150,25779065,25779066,25779040,25779038,33569099,42586016,33569123,33569122,42586067,53025845,65000498,60475901,60475900,73222302,270870497,92300146,88256924,88256925,102255446,106598188,92300178,78273404,65000463,53025947,53025948,65000645,78273609,258283602,65000492,65000493,78273438,78273547,88257448,102255820,269882494,65000579,53025907,53025906,65000577,60715827,49314027,49112117,49112116,258200539,86873406,100854447,86873467,73260964,60514903,257011571,30584946,30584945,257592315,73260960,73260954,60514894,60514893,73260952,86873452,100854498,100854497,86873449,73260946,73260948,86873451,86873396,73260907,73260908,86873401,100854441,100854474,86873425,86873426,86873427,100854476,86873433,86873432,100854479,114905201,114905200,128802467,142157248,147342445,134129952,120298970,106098555,258209434,134129954,147342452,260672188,171005784,171005783,165233821,165233822,261793022,166706753,260901980,150646224,159690691,159690690,154725322,142358288,142358287,155006164,166706748,171275790,171275789,181312149,262303866,260672190,147342456,134129957,134129956,147342454,159690669,166706750,166706751,162742195,162742196,261793028,260672194,134129969,120298984,120298985,134129971,147342478,153433177,140752693,127396894,260355904,259976299,127396892,140752690,153433175,262698175,171275795,160039382,147775584,134644257,134644258,128728228,114828514,114828515,128728230,128728210,114828501,100776639,100776638,101736270,87763721,74159398,61378915,49898434,49898435,61378917,74159404,87763725,88257798,88257797,102256116,259530609,84571949,71008023,270287771,98494913,112486706,119186667,116350657,102256122,260112086,119186632,119186634,129705467,116350671,102256146,88257825,74627480,74627479,88257824,100776621,259629847,90814065,90814097,76938179,63830803,52015692,41705246,256103639,13177418,13177417,18545816,25091663,32789695,41705229,52015673,63830770,76938146,90814070,86796121,259441686,74627562,61835364,258115760,60436390,60436753,60436751,60436762,60436702,49032683,49032682,60436697,73183191,73183393,73183013,60435908,60435907,61994821,52015773,50502909,50502910,61994828,52015710,52015711,52015723,63830840,73183438,60436800,49032784,49032775,39103292,259441719,260291370,271049934,255724647,19779480,26583070,34569997,41999883,41999884,41054194,32259931,24659557,18200432,18200433,12909559,12909558,257723199 Dl.O(d2) = 272889451,142526817,129150470,115219628,101142468,87144240,87144239,101142466,115219625,261257171,155170465,263217293,263217297,155170470,142526817,142526818,273151119,263605128,186724293,262786441,155170467,262313145,262786443,129150466,115219623,101142465,101142466,272246061,262786445,186724294,194836903,201779400,201779414,194836918,186724302,177409268,272889451,142526817,129150470,115219628,101142468,87144240,87144239,101142466,115219625,261257171,155170465,166862643,177409257,186724296,194836909,194836904,194836903,201779400,201779414,194836918,186724302,177409268,272889451,142526817,129150470,115219628,101142468,87144240,269848013,255535901,254573597,3164518,3164519,5187077,8096634,12043736,17137394,23412757,18257034,17137547,12043862,255458485,16105012,21155555,255383232,10483723,6911934,6911933,4690464,4690466,256392903,48067847,259373281,113758289,127626972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164164, s2 = 7984282, dlinesl.size( ) = 48 s1 = 9222386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2983571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3533853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7583468, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163534, s2 = 3343521, int(edited[s2]) = 0 s1 = 14163534, s2 = 3343521, d1 = 24, d2 = 14 Dl.O(d1) = 2263125,2263159,2263163,2263376,2263380,3778675,5750628,254895167,18270457,24743416,32359653,30257956,22862309,16635409,11604125,7724822,4889570,4889569,7724820,11604123,16635404,22862302,22084694,15978568,13579226,9297847,6090785,3810898,3810897,6090783,8990623,5869883,5869882,8990622,13188577,18559873,25109207,32811836,41732356,52047152,58659062,47267366,37357415,30360199,30360197,38946252,32030904,32030905,40787833,50904591,62505083,75424110,75424111,75424112,89171692,103261500,259545444,116044206,258791940,88017351,74410622,74410621,88017348,79123289,65767673,53925779,53925778,52769093,52769092,42757171,33727586,33727585,255935572,40127098,40127097,50148608,61630956,74410634,65227676,53239022,42787742,42787743,53239025,257317746,52769091,42369986,257213665,40139151,40139152,40139147,40139140,40139141,40139157,48938732,60336362,58439918,58439895,47064202,47064201,58439893,71161855,74126300,61343321,49859920,49859919,61343318,59235377,47838168,47838169,52769137,64683427,64683419,52769130,52769131,64683401,52769099,42370000,42370004,52769109,58439869,52769122,42370013,33380927,25615155,25615154,33380925,257213669,31391116,255568119,12380128,8365633,8365632,12380125,17550421,23896181,26672347,26672351,19855457,19855456,26672349,34665460,43939578,257888971,80363910,94417385,90600205,76734072,63642819,51850138,41563210,41563211,41563214,41563206,32669963,24993862,24993863,24993868,18469946,18469945,24993866,32669970,41563217,36999395,36999394,37153357,47043813,58418365,71139791,84709520,85707007,75972637,75972636,89751425,103855276,118000441,119599074,106734517,92428719,92428718,106734515,106734518,92428721,78391903,65109021,65109020,78391901,92428717,105368734,105368735,270337166,257556108,63015710,51334720,41149304,32334083,32334082,41149302,51334715,63015706,75999008,89776426,103877688,118020270,105028226,90848479,76969552,63857735,52038153,41722859,41722858,32802795,25100984,18552475,13182116,8985584,5866234,3662433,3662434,254639141,13182122,18552482,25100998,256618773,52038215,270511546,105028253,119221334,133051804,133051805,259353778,108673383,259971956,122937348,108673380,94387031,94387032,108673382,122937349,136768153,149908789,136768167,122937365,108673394,108673393,108673395,122937364,131292682,117495282,103370546 Dl.O(d2) = 132797667,146030321,146030316,132797663,118964688,118964689,122937362,122937363,136768165,146030318,146030317,158408553,162120619,173220417,183071219,173220415,173220416,162120620,149938221,136802091,122971132,122971131,108705510,94418428,80364776,80364775,94418431,94418433,94418434,80364780,66939308,54682941,43940266,34666123,34666122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163534, s2 = 3343521, dlinesl.size( ) = 2 s1 = 14163534, s2 = 3343521, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14163534, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 1550686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1550686, s2 = 5298302, int(edited[s2]) = 0 s1 = 1550686, s2 = 5298302, d1 = 21, d2 = 43 Dl.O(d1) = 39281032,39281033,49207378,60607892,73352956,75975724 Dl.O(d2) = 194974071,201898721,264554675,216456892,219714200,222464941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1550686, s2 = 5298302, dlinesl.size( ) = 2 s1 = 1550686, s2 = 5298302, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1550686, Dl.E( ) = 44, 1.41e-05 seconds used appending s1 = 16392708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16392708, s2 = 8208329, int(edited[s2]) = 0 s1 = 16392708, s2 = 8208329, d1 = 8, d2 = 6 Dl.O(d1) = 6092131,6134627,9320106,13611099,254664706,33461569,256160016,52711392,42324305,33343376,25583821,18975654,18975655,24708471,18236988,12935887,12935886,18236986,24708467,32323373,32323220,24708338,24708336,32323213,41137215,51321211,63000433,75983246,89761917 Dl.O(d2) = 6537217,4095768,4095770,5840444,5840446,6537371,9946756,14457884,20154032,18087521,18087522,18482017,24617717,24617716,32208801,40992155,51138330,62774051,258956317,103582126,117713451,131516217,144740512,157137893,168581289,178878892,187970032,195895874,202681753,203620480,197018022,197018021,189286703,180352379,170192854,158839160,146470068,257113790,257113792,105185897,90992454,77101043,254882070,32908947,25197121,19469314,13933921,9564489,8953229,8953226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16392708, s2 = 8208329, dlinesl.size( ) = 2 s1 = 16392708, s2 = 8208329, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16392708, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 16038215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16038215, s2 = 14353523, int(edited[s2]) = 0 s1 = 16038215, s2 = 14353523, d1 = 35, d2 = 25 Dl.O(d1) = 270000535,47678807,59078972 Dl.O(d2) = 6537945,6537944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16038215, s2 = 14353523, dlinesl.size( ) = 2 s1 = 16038215, s2 = 14353523, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16038215, Dl.E( ) = 62, 2.19e-05 seconds used appending s1 = 10199495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10253655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15115129, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2985917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6928825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6928825, s2 = 6618080, int(edited[s2]) = 0 s1 = 6928825, s2 = 6618080, d1 = 14, d2 = 11 Dl.O(d1) = 260215066,258346088 Dl.O(d2) = 256594044,268279016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6928825, s2 = 6618080, dlinesl.size( ) = 2 s1 = 6928825, s2 = 6618080, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6928825, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 2986817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13218275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13218275, s2 = 2675333, int(edited[s2]) = 0 s1 = 13218275, s2 = 2675333, d1 = 0, d2 = 0 Dl.O(d1) = 3669682,5877517,3669577,3669579,5877522,9003232,13179899,13179902,17251600,12132126,12132125,17251598,23562287,31045938,268235804,18588254,22372550,22372549,23181760,23181762,28314192,22458326,16290309,16290308,22372548,19664705,19664706,26398641,34273676,268650972,65962648,79326228,93457201,89925813,76119645,63114106,51417285,41220676,32397214,24774181,18294622,12985590,8839966,8839967,12985593,18294628,24691762,32303695,41115428,51296514,62973193,257663680 Dl.O(d2) = 3669682,5877517,3669577,3669579,5877522,9003232,13179899,13179902,17251600,12132126,12132125,17251598,23562287,31045938,268235804,18588254,22372550,22372549,23181760,23181762,28314192,22458326,16290309,16290308,22372548,19664705,19664706,26398641,34273676,268650972,65962648,79326228,93457201,89925813,76119645,63114106,51417285,41220676,32397214,24774181,18294622,12985590,8839966,8839967,12985593,18294628,24691762,32303695,41115428,51296514,62973193,257663680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13218275, s2 = 2675333, dlinesl.size( ) = 2 s1 = 13218275, s2 = 2675333, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13218275, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2675564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13442985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6652179, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9576616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8470503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8470503, s2 = 14036672, int(edited[s2]) = 0 s1 = 8470503, s2 = 14036672, d1 = 105, d2 = 91 Dl.O(d1) = 118260066,104101123,260219851,89969929,89969928,104101133,118260077,132077674,145311875,132077677,118260079,118260080,132077679,118260084,259603777 Dl.O(d2) = 13694437,13694436,19176949,25829001,33631194,33617168,25817194,19167549,13687340,13687339,19167547,25817191,33617164,25817189,25817188,33617161,32421284,256085181,18311589,18311588,24795115,18311608,18311607,24795142,24795119,18311591,12998816,8849836,8849837,12998817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8470503, s2 = 14036672, dlinesl.size( ) = 64 s1 = 2676712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8261239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8098489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8098489, s2 = 9665176, int(edited[s2]) = 0 s1 = 8098489, s2 = 9665176, d1 = 13, d2 = 11 Dl.O(d1) = 41422760,32562938,255632683,8908778,13073650,18405985,24813540,257738423 Dl.O(d2) = 179461901,264604663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8098489, s2 = 9665176, dlinesl.size( ) = 8 s1 = 9206540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9206540, s2 = 6881548, int(edited[s2]) = 0 s1 = 9206540, s2 = 6881548, d1 = 0, d2 = 3 Dl.O(d1) = 38252241 Dl.O(d2) = 259606771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9206540, s2 = 6881548, dlinesl.size( ) = 2 s1 = 9206540, s2 = 6881548, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9206540, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9454245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2677518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6975389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6975389, s2 = 11080288, int(edited[s2]) = 0 s1 = 6975389, s2 = 11080288, d1 = 30, d2 = 26 Dl.O(d1) = 260842765,260225838,90118182,257741594,91076308 Dl.O(d2) = 270321286,39276226,30679353,255526277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6975389, s2 = 11080288, dlinesl.size( ) = 14 s1 = 2679869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2679869, s2 = 6226195, int(edited[s2]) = 0 s1 = 2679869, s2 = 6226195, d1 = 0, d2 = 52 Dl.O(d1) = 76437555 Dl.O(d2) = 244316547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2679869, s2 = 6226195, dlinesl.size( ) = 24 s1 = 6727632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13374871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13374871, s2 = 14164439, int(edited[s2]) = 0 s1 = 13374871, s2 = 14164439, d1 = 26, d2 = 36 Dl.O(d1) = 51972848,41664938,41664939,51972850,269479342,51972844,51972845,59506419,51554395,51554396,63272721,52185445,41859841,32929202,29641676,22290061,22290063,29641678,38208148,44575222,44575223,268994365,31286098,256516919,257163522,48118661,38408177,33380315,25614652,25614651,33380309,42369292,38691358,256162766,16528534,16528535,22734557,25614690,22734562,16528538,11519546,11519547,16528540,22734566,30115469,38691380,31231179,31231178,39907885,42369289,42369290,257174274,77872286,76897707,74366070,74366071,71973894,59943666,48551431,257552177,59506349,59506350,72241096,85833164,76897689,63788065,51972860,51972861,63788067,76897691,90776264,77747247,64564168,64564169,77747248,78414826,65133124,53148100,53148101,53148111,53148109,49145223,49145220,39218682,39218684,49145246,48080137,38167190,37324913,37324914,47233681,48080499,48080482,48080484,59471237,72208853,59503013,48115114,38204217,29637536,22285796,16142171,16142170,22285792,29637529,38204203,48115094,58669452,47277912,47277911,49145255,39218692,39218693,49145261,53148092,48080143,39218711,30621480,23199723,255968803,38167202,48080157,53148103,53148104,257817026,61987257,72208850,72208849,60623876,52663342,42276014,42276015,52663344,60201441,71027180,58311462,256937548,77747376,72939950,256150884,48804940,48805033,52663312,42275990,33294804,25533371,18922475,18922474,25533381,33294826,42275955,33294785,33294786,42275960,48805076,38883135,30297752,30297753,38883139,48805061,38883128,30297751,22899432,16669077,11634642,7750857,7750858,11634648,16669086,22899444,30297772,38883172,46985798,58311424,46944897,37065787,28564118,21337258,15363558,15363559,21337262,28564130,37065804,46944924,38883076,30297715,30297714,38883035,38883034,48804947,47805045,37881307,29312357,29312356,37881301,33294817,33294818,42276010,47379139,58766442,71027090,84591405,85531351,72940049,72940050 Dl.O(d2) = 73199658,257587671,49050315,60453496,70716776,58000587,46624482,46624480,49049799,39121055,30522972,23105534,23105535,30522404,23105195,16847438,11781801,7866325,4993170,4993171,7866329,11781805,16847447,16847475,255131987,255131989,23105470,30522843,39120776,39120777,39120728,30522752,23105419,16847680,16847682,23105575,30522757,39120736,49050397,49050356,39120692,30523025,23105584,16847689,11781957,11781958,16847693,23105590,30523033,30522406,23105197,19339343,19339342,25380526,25380525,33115812,30522745,24481629,256062159,40807076,50926684,42758340,36736345,28241340,21042530,19259667,19259666,25921492,33728194,42757751,53207284,59302608,47907833,37991783,29429787,29429786,37991780,37992319,47908493,59302692,47907902,47907901,59302690,59303199,47908322,37992167,29430079,29430080,37992169,47908324,59303201,61409350,49930372,39911925,31236497,23753321,23753322,31236499,39911930,256485140,74188689,73516063,72073033,59338622,254902596,30392899,22989508,254435208,38980131,48901340,60296025,60766951,60766950,73516019,66961595,256485122,39911887,31236473,23753304,23753306,31236478,39911896,48118782,59506449,59303050,59303049,59463285,59463284,258748655,86951480,73340237,72201884,59464106,59464107,49193678,49193677,60594350,64577519,64577518,77760249,91687468,105894562,94355470,80298969,66869660,66869661,80298971,94355472,108643475,114920496,128817751,128889854,114987783,100933799,86950514,86950513,94355536,108643520,121305776,120105952,120105953,111696110,105037327,90858627,90858626,105037326,113763941,99749672,85795790,72201779,72201780,85795792,99749674,108629056,108629055,108643487,94355484,80298980,80298979,94355483,108629057,270452384,86365375,100325285,259582110,85207757,71642437,58921328,47539971,47539972,58921330,48131998,38221923,38221921,48131994,59519277,72253303,258329922,80286199,91687290,77760125,77760124,80286118,66856734,54598346,43854390,34583079,34583080,43854397,54598358,66856751,74540870,88155613,92681216,92681215,94355567,94355568,92681209,78626987,78626988,92681210,80286152,80286151,94342107,108629054,122893151,271476938,113763295,99748947,85795107,85795106,91678121,105884985,107636008,113582306,113582305,113764190,100182139,88682297,75031090,62208045,62208043,75031086,85844797,72253288,60702402,60702401,73450499,80286106,85795145,80286125,66856740,54598351,43854396,43854397,54598358,66856751,61757084,61757083,72201761,78627000,65330467,53332955,42871754,33830569,33830567,42871749,53332949,53332947,53332946,65330457,77760139,258326972,42290927,33310880,25549369,25549368,33310876,42290916,42871738,53332940,65330449,78626973,91687191,91687192,80340784,80340785,77760122,77760119,66856776,66856777,71642455,58921339,58921338,71642449,85207777,99130551,91687357,91687358,92681302,92681301,105894841,91687756,77760471,77760470,77760363,77760364,77767407,77767406,77767423,64584389,64584388,77767430,91687512,269876144,94342147,94355492,80298987,66869672,257133260,66869676,72768286,60031299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13374871, s2 = 14164439, dlinesl.size( ) = 2 s1 = 13374871, s2 = 14164439, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13374871, Dl.E( ) = 40, 2e-05 seconds used appending s1 = 9022043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6724904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355116, s2 = 7405389, int(edited[s2]) = 0 s1 = 10355116, s2 = 7405389, d1 = 147, d2 = 130 Dl.O(d1) = 23133777,16873370,16873371,23133781,30552016,38356187,31032628,31032629,39709574,49728120,41721711,32801747,32801748,37768311,268212862,15815575,15815576,256364045,37049708,42115518,52467956,42115656,33161290,33161289,42115655,256927408,44406702,44406701,256927406 Dl.O(d2) = 266319418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355116, s2 = 7405389, dlinesl.size( ) = 40 s1 = 1993650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7616353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8424091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8424091, s2 = 8191566, int(edited[s2]) = 0 s1 = 8424091, s2 = 8191566, d1 = 30, d2 = 6 Dl.O(d1) = 90602359,90602360,272324658,118966580,118966582,104774392,90602365,90602366,90535489 Dl.O(d2) = 21274582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8424091, s2 = 8191566, dlinesl.size( ) = 2 s1 = 8424091, s2 = 8191566, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8424091, Dl.E( ) = 38, 1.29e-05 seconds used appending s1 = 10151409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8164968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10184299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10184299, s2 = 14879147, int(edited[s2]) = 0 s1 = 10184299, s2 = 14879147, d1 = 41, d2 = 48 Dl.O(d1) = 72200740,59463234,48072614,38159916,38159917,48072611,48072610,59463228,48072658,48072659,59463312,72200883,85794768,99748514,99755580,85801507,72207277,60176176,60176177,269085682,85794687,72200824,59463268,48072633,38159928,29593598,29593599,38159930,48072638,59463278,60205964,60205965,72945752,270452393,62747476,62747475,75694771,64423947,52549950,42191234,33231017,25482397,18879990,18879989,25482403,33231028,42191261,52549990,64423930,62747331,51116133,51116135,51349258,41163975,41163973,40927773,32150286,32150287,40927777,51068284,62697201,72055496,59320959,59320960,50162111,269401681,50162103,40138757,31456813,23962301,17613234,17613235,23962303,31456814,40138759,50162106,61646126,74428032,75641310,75641311,64423978,64423979,77592591,88036324,258269639,61645129,74426623,259515855,88038234,89402368,89402367,270839816,105747150,91523578,77592598,77592599,85801345,99592796,99755463,271334861,126273323,112410231,98421331,84499615,84499616,85802634,85802633,99592783,88021293,74413857,74413858,88021294,101999939,257515704,61645131,50161448,40138351,31456576,23962165,23962166,31456580,40138361,50161465,61645162,72863441,62697252,62697251,75641263,89402262,91523480,91523481,89459983,88036340,74426635,74426636,88036343,91523562,101999920,89402125,87109878,73491073,72207978,59469884,59469883,72055517,72055518,270835479,61645146,50161457,50161456,61645145,74426637,74426656,75694666,270452383,103558588,89460043,75694846,62747531,51116263,40974060,32194079,24605714,24605711,32194074,40974051,51116240,50151662,40130129,40130130,50151663,61634025,72208086,59469957,59469956,72055406,72055405,85642640,89460042,89460041,259991780,85642540,72055434,59320925,59320926,48078918,38165996,38165997,48078921,59469807,72207886,85801557,84331220,269085126,51068268,58218110,58218111,270285973,91523601,258407427,52549991,52549990,64423930,62747331,51116133,51116135,51349258,41163975,41163973,40927773,32150286,32150287,40927777,51068284,62697200,75641189,89402156,99755182,85801117,72206937,59469211,48078601,38165825,29599142,22249802,16111947,16111949,22249808,29599131,38165808,48078577,50677220,48078699,48078700,59469407,71990783,84328766,70769877,70769878,59320878,59320877,72055333,62010805,50518732,40483061,40483062,50518734,47928640,38014451,29452318,29452319,38014455,47928653,59320948,72055411,72207881,72207592,72207590,85801050,85801051,74360714,74360713,87963001,101935797,104056370,260217677,132036821,127482316,271863595,113770930,113770929,111806146,258125354,84005069,85802129,84331239,70772488,70772489,84331245,98238460,259582093,78365868,78365867,75641256,62697247,51068315,51068316,59320989,47928677,38014467,38014466,40927806,40927804,51068331,62697274,75641296,72055555,72055556,85499744,72207115,59469312,48078651,48078650,59469311,72055548,85642783,74427953,72055554,72055553,61634026,59320961,59320962,61646074,50162077,40138739,31456803,23962296,17613232,17613233,23962299,31456807,29452329,22118488,22118487,29452326,38014468,47928678,40130132,31450234,31450233,40130130,50151663,61634024,74413858,88021294,101999939,257515704,61645131,61645130,74413846,61634019,50151660,40130128,31450232,23957450,255181799,12430305,12432200,17613235,23962304,31456820,40138766,50162120,51068299,50080324,40138743,31456805,31456804,40138741,50162079,61646078,74427955,85642772,85642773,99592782,99755461,99755460,89402304,75641307,62697285,62697284,72207896,85802373,99756553,103496030,89402258,89402211,89402210,99592750,85642751,72055527,72055528,270835481,99755166,85801092,85801091,89459708,103558460,99592812,99592811,98421342,84499620,70935438,258661461,98421340,88038396,258414420,61634015,61634016,74413840,88021271,85801464,72207235,72207234,85801462,258955486,113608087,113608086,102021405,88038294,74428011,61646111,61646112,74428013,88038297,102021409,105747154,91523583,77592610,64423992,52549971,42191249,42191250,52549974,64423997,72055545,59320995,47928682,47928683,59320997,72055548,85642783,269925256,91523585,103495983,99592750,85642751,85642752,88038213,102021307,113608088,106707672,92401413,89402311,75641317,75641318,72055503,59320966,59320965,72055501,74413844,74413842,271329766,31450232,23957450,255181799,12430305,12432200,17613235,23962304,31456820,40138766,50162120,51068299,50080324,40138743,40138742,50162081,61646083,51068275,51068276,62697188,75641171,89402143,89402129,88021265,74413835,74413836,88021266,99592648,103496024,99755536,85801456,72207228,59469385,58218109,50162091,50162092,61646097,74427978,72206927,72206926,85801101,99755174,89402142,89402143,89402129,88021265,74413835,74413836,88021266,99592648,103496024,99755536,85801456,72207228,59469385,58218109,58218108,70935440,72207243,59469395,48078692,48078691,59469393,72207240,85800946,269808937,48078537,48078536,38165879,268402037,16111957,11191597,11191596,16111949,22249808,29599131,33619868,33619869,42647469,257821687,78365903,85801464,72207235,59469390,48078690,48078689,59469388,62000053,74796512,77592612,91523586,258955486,113608087,99592794,99592795,113608088,106707672,92401413,89402311,75641317,75641318,72055503,59320966,59320965,72055500,85642734,74427921,74427922,88038172,88036344,88036343,91523562,101999920,88021268,258268589,50151656,40130126,40130127,50151658,269875813,61646082,61646083,51068275,40927773,32150286,32150287,40927777,51068286,62697203,75641194,75694693,258955465,101999918,88021263,84499621,70935438,58218107,58218106,70935436,70471398,70471399,74413839,88021270,98421340,88038396,258414420,61634015,61634016,270388295,99592806,101999915,88021262,74413832,74413833,85801475,72207245,59469396,48078692,38165878,268402037,255897497,38165877,48078688,269808945,72055550,59320998,59320999,72055552,85642790,99592801,99756642,85802489,85642784,72207154,72207153,85801378,99592770,113607953,103496024,99755536,85801456,72207228,59469385,48078687,48078686,59469382,72207226,85801454,98421326,84499608,70935428,58218101,258036845,61646077,61646078,74427955,85642772,85642773,99592782,99755461,99755460,89402304,75641307,62697285,51068337,51068339,60126727,60126726,72863444,86458936,100415912,99571472,85620815,72032283,59295947,258113175,258115000,59295950,59295951,72032289,85620821,99571479,113588047,113588053,127464131,127464130,125918886,125918885,139268335,125918881,125918882,139268337,139268342,125918887,112084327,98123851,98123852,260489517,139268344,151975371,273089655,184286745,184286746,263836115,192707305,263836117,203349950,196702862,188937218,179973835,169788171,158415702,146039972,132809949,118978781,104786979,90615427,76749317,76749319,90615429,76749321,63657130,51861895,41571989,32676503,32676502,41571987,51861891,63657123,63657122,76749310,90615414,104786969,118978775,118978777,118978776,123516901,109325619,105104019,90923381,77042691,77042692,85833287,99786129,113800017,99786126,85833288,85833289,258747512,72241230,72241233,59506489,48118825,48118824,59506488,72241231,85833286 Dl.O(d2) = 38208230,38208037,38208036,31236475,23753305,23753306,31236478,39911896,38208234,38208235,48118786,40089256,31409312,23919267,23919266,29641760,29641759,38208261,48118823,59506432,48118768,48118769,256210586,47336858,47336857,58725558,58725564,47336861,47336862,48118839,38208278,29641774,22290112,16145962,11217020,11217019,16145950,11217013,11217012,16145949,22290089,22290021,16145907,11216987,11216986,16145905,22290016,29641620,38208078,48118598,59506237,72240933,85832971,99785873,105881811,104955832,90776319,76897748,63788122,51972896,51972895,63788117,74693668,74693667,88321250,77747340,72241162,59506409,59506410,72241169,72039174,59303042,59303043,72039178,85627344,77747349,72039183,72039184,85627351,77747300,71938963,71938964,77747307,77747308,86281691,90446456,76588862,76588863,90446460,85833006,85833005,99785905,113593589,99577525,85627328,72682637,59943653,59943654,72682639,86281699,87790740,76897727,71023177,58307626,58307625,71023172,84587360,89205715,75453308,75453309,89205720,98512472,84587346,71023159,58307613,46941267,46941268,58307618,59303040,52663294,42275975,33294794,33294795,42275978,52663299,64564224,77747304,64564195,52663280,42275971,42275972,52663285,64564205,77747323,74684937,61891332,50400795,50400796,61891335,73287692,86281702,257817698,48551425,38636944,38636945,48551426,59943658,72682642,270855001,114276919,122951847,122951848,126379135,112507684,98512482,98512483,105881789,112507679,112507678,99783585,99783586,113797698,113799974,258433844,85803173,85803174,257817024,53148100,53148101,53148111,53148109,49145223,49145220,39218682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8416090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8416090, s2 = 14070399, int(edited[s2]) = 0 s1 = 8416090, s2 = 14070399, d1 = 39, d2 = 36 Dl.O(d1) = 257856300,90678860,76809764,63707406,51899528,51899527,63707405,51899530,257754823,76809766,90678862,104847234,119031051,132851025,119031048,119031040,104847224 Dl.O(d2) = 256108329,41812977,52128844,63949785,71528850,258444940,47412998,37505390,28962111,256297876,256046949,40476368,50511588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8416090, s2 = 14070399, dlinesl.size( ) = 2 s1 = 8416090, s2 = 14070399, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8416090, Dl.E( ) = 40, 1.81e-05 seconds used appending s1 = 10165053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2684074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2995674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2995674, s2 = 11388608, int(edited[s2]) = 0 s1 = 2995674, s2 = 11388608, d1 = 50, d2 = 89 Dl.O(d1) = 90683914 Dl.O(d2) = 158574329,169940458,272974403,272360541,104932319,90752179,76873694,63764670,63764671,76873697,90752176,90752175,104932312 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2685278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9510446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10177821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2997105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2997517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8405338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9233022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2998413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6497300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6497300, s2 = 11388440, int(edited[s2]) = 0 s1 = 6497300, s2 = 11388440, d1 = 26, d2 = 39 Dl.O(d1) = 255235799,8917676,13086395,18423664,24935606,32597611,41474619,42982791,33929158,30544220,23125848,23125849,25092315,25092313,32790484,26890109,20009108,20009109,24571325,25211115,18646362,18646363,25211117,32926659,41856862,47953493,59344828,269067513,25092384,18546268,18546267,25092383,32790564,32790593,25092405,25092404,257761399 Dl.O(d2) = 119187203,104992300,90814781,271020139,260842589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6497300, s2 = 11388440, dlinesl.size( ) = 38 s1 = 6620034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2937111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8267999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657876, s2 = 14162431, int(edited[s2]) = 0 s1 = 11657876, s2 = 14162431, d1 = 1, d2 = 1 Dl.O(d1) = 9007811,5880127,5880128,9007814,7551621,4775605,4775604,7551616,11366662,14485422,9966672,6550332,6550331,9966668,8183019,8183017,5295349,5295352,8168588,8168591,8168596,8168595,12138739,17258624,16340272,16331897,11738562,7837274,4974888,4974886,7544211,11354576,10781086,10781087,15584805,20126567,22230204,23629225,17313296,17313297,15155451,15155453,21098880,16323770,16323769,22497876,23635441,22494354,16320731,16320732,17325375,17325374,23642146,22389239,16230266,16230265,22389236,20125030,14433244,14433243,20125027,27016767,23636373,17320682,17320683,22481616,16310251,16310253,11352067,7542828,7542830,11352069,254255198,26966884,267798366,23545899,17238381,15923933,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859906,7680751,8083035,12022776,16316125,15977502,11091511,7355873,4646618,4646617,254187380,11353713,7543748,4771419,2876213,2876214,4771420,4769260,2875142,2875143,4769264,7539413,11345712,16306624,16323290,11356278,7545116,7545115,11356273,11352882,7543281,7543280,11352879,16317986,22491250,21569563,15547248,15547247,17237168,12119915,8151395,5222606,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370263,16341475,16306963,11345929,7539516,4769305,4769304,7539513,11345923,16306954,16325858,11358038,11358039,16325860,22500128,23544138,17236015,12118044,8149137,8149138,11353092,11353093,16318314,22491606,29350603,22473081,16303405,16303406,17292286,23605335,22022903,22022902,16769320,11723363,11723364,16769325,22022943,17525773,17525772,21295708,21295666,21295664,28516747,29356586,29356587,37922958,30713687,30713688,23637028,17321429,254393324,11043549,11043552,15921003,22022147,23017645,22523000,22522999,22528616,27017328,20125835,14434016,9928849,6525334,6525335,9928853,14434024,20125845,22477838,29844399,23038713,16794061,11742459,7839868,7839869,11742445,9930228,6526172,4088948,4088946,6526045,4088883,4088887,6526059,6524650,4088757,2446075,2446076,4088759,6525817,9929541,14431815,12138293,8168295,5237755,5237754,254080016,16332311,22506157,29866565,33026273,254181652,13330719,9108465,254585130,18725979,25300421,20122372,20122373,23569427,17258118,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,15929876,15929873,11287410,11287411,15544812,10750973,7548997,4774161,2877557,2877554,4774144,7548955,11362437,13330395,17513064,17512933,17307019,12184058,8215187,5285694,3237975,3237977,5285697,8215204,8249041,8242983,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,7540242,11347265,16308986,22480020,22484269,17089825,12002114,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308430,22479345,29845597,29872284,22513762,16340075,16340074,22513761,29842485,22475378,22475377,17300964,17300963,23614071,268250984,16764954,267984539,7819081,11342970,16302057,21081579,15142914,15142915,21081580,22516048,22516047,29856146,22491457,16768826,16768828,23008194,22498276,22482555,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983885,10586769,15327978,21294518,16764956,16764958,12150572,8180407,8180408,12150577,16764984,11717633,7819088,4961185,4961184,7819085,11717626,16764970,254760516,16357096,16357097,22014268,22014269,29346318,22025517,15924448,11047278,11047279,254346586,22529849,22512832,268407215,29862709,29883102,22528801,22528799,16356092,11382430,7562240,4781765,254182114,1672048,2881506,4781773,5959740,5959741,9108220,8169474,5238514,5238513,8169470,9966808,9966810,14485599,20188996,20123306,15967993,11083493,7349741,4642268,2796084,2796083,4605621,7301204,8188147,12157481,12157847,17278253,23589962,31073214,267755120,23856412,254080094,12349544,14431757,14431758,14431748,12349344,12349346,17512809,22957758,21569740,21569739,22503874,16329761,11361007,7548018,4773645,4773646,7548022,11361011,12168546,8200429,5271115,5271114,8200437,8195484,5265511,5265512,8195491,12164153,17284832,16328581,16322771,11361187,11361189,12141865,12141866,16329829,15929746,15929745,12139706,8169288,5238406,5238407,7494236,11287421,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11988448,11988449,11738539,11738540,11256096,11256095,16192712,254238612,7551257,11366084,16335971,22509600,22499811,22499810,21614638,15585146,11366072,11366073,254515566,23605970,254233870,15156928,15156929,21100851,254547064,33038678,25311217,18734543,15586181,10782072,10782073,11026976,11750339,7845430,7845395,7845394,7551396,4775489,2878260,2878261,4775495,7551407,11366342,254361624,11366388,13175874,8981552,5863783,267927417,13175870,16326721,16326722,15301072,10565402,10565406,15055623,13527645,13527646,17155158,17150892,17150893,23428197,23429827,17152999,17151572,12055017,12055019,8105523,5193276,5193275,8105521,12055711,12069166,8115853,8115854,8116375,7069134,6969310,4378373,4378374,3318870,3318868,5193380,5193379,8105719,8112520,5197397,3171015,3171017,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6053413,4368279,3791020,3791018,6058918,9251314,9256098,6062080,3792862,2271940,2271941,3792867,6062092,9256139,13507797,13507796,12069993,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1316071,751044,751047,1316140,2269074,3787337,5504778,8504348,12545289,17732002,24089591,22091226,15984172,15984173,22091227,16187722,16187723,22335178,29687623,26936452,26936453,31422213,31422214,36919571,28421509,21198821,15234276,15234277,21198824,23400462,267946964,28757348,34086640,26225595,26225596,29422265,30058212,30058213,30058259,22681485,16483391,11484899,11484897,16483386,22681480,21822451,21822449,29129380,37691542,47533943,44389514,35016212,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,20074720,20056975,14371971,14371968,20047203,18955315,13518793,9872930,6485833,4064123,4064126,6485847,7627143,7627140,8356462,8356465,11133578,11133582,10884306,10884305,15720912,11133784,7385032,7385034,11133792,16035047,22155754,22680665,16482780,16482777,22680655,30057319,35013767,29080326,29080329,37630648,30834593,30834594,38463679,38463677,37636163,37636164,38631218,35008151,26926408,20040978,20040980,23932088,31422526,29131194,21824149,21824148,26933258,26933256,26938990,26938982,20052955,20052954,26938978,35019931,41773287,32852176,25145257,25145258,32852180,37634241,37634240,35337055,27212830,27212831,35337049,40001844,31324148,23833520,23833519,31324142,35013851,30198523,29587887,22239884,16104194,11186127,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224722,15727500,15727502,21786011,20071438,14388208,14388207,20071432,254686522,254314912,8391888,8391886,12415976,17589835,254469192,22095190,22095191,29425953,29084597,21787022,18818675,18818674,20071428,255496328,23306289,23306288,28864307,30198677,22807841,16590520,268077534,30198680,31124500,23638566,17322906,12198027,12198029,17322911,23638572,25408761,18818098,18818097,25408758,29448107,28646792,21404924,21404923,21273079,15311871,10575090,6975469,6975472,10575095,15311881,256311033,46864653,256620393,32820870,257174839,63875862,258086448,90865353,105044116,119236413,133066206,146293397,158661366,170019405,262680374,189127090,196871047,203498264,209047828,213602434,217332562,218322506,214851747,210634699,205473353,199234484,263547076,183288777,173483148,162440985,150305059,137264103,123532945,123532944,109341124,109341125,95086718,81028165,257523120,55215173,48165924,38256524,255904798,29691157,256890354,37456659,255855494,28917329,21642741,21642742,28917330,37456665,47362701,58749443,71478550,85050080,98975101,112964127,126817869,140167740,152861385,164696610,175453788,262652918,153050974,272179674,113141589,259298944,71664364,58942895,47560324,256319238,21806805,15745642,10905093,7212284,4544159,2731632 Dl.O(d2) = 9007811,5880127,5880128,9007814,7551621,4775605,4775604,7551616,11366662,14485422,9966672,6550332,6550331,9966668,8183019,8183017,5295349,5295352,8168588,8168591,8168596,8168595,12138739,17258624,16340272,16331897,11738562,7837274,4974888,4974886,7544211,11354576,10781086,10781087,15584805,20126567,22230204,23629225,17313296,17313297,15155451,15155453,21098880,16323770,16323769,22497876,23635441,22494354,16320731,16320732,17325375,17325374,23642146,22389239,16230266,16230265,22389236,20125030,14433244,14433243,20125027,27016767,23636373,17320682,17320683,22481616,16310251,16310253,11352067,7542828,7542830,11352069,254255198,26966884,267798366,23545899,17238381,15923933,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859906,7680751,8083035,12022776,16316125,15977502,11091511,7355873,4646618,4646617,254187380,11353713,7543748,4771419,2876213,2876214,4771420,4769260,2875142,2875143,4769264,7539413,11345712,16306624,16323290,11356278,7545116,7545115,11356273,11352882,7543281,7543280,11352879,16317986,22491250,21569563,15547248,15547247,17237168,12119915,8151395,5222606,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370263,16341475,16306963,11345929,7539516,4769305,4769304,7539513,11345923,16306954,16325858,11358038,11358039,16325860,22500128,23544138,17236015,12118044,8149137,8149138,11353092,11353093,16318314,22491606,29350603,22473081,16303405,16303406,17292286,23605335,22022903,22022902,16769320,11723363,11723364,16769325,22022943,17525773,17525772,21295708,21295666,21295664,28516747,29356586,29356587,37922958,30713687,30713688,23637028,17321429,254393324,11043549,11043552,15921003,22022147,23017645,22523000,22522999,22528616,27017328,20125835,14434016,9928849,6525334,6525335,9928853,14434024,20125845,22477838,29844399,23038713,16794061,11742459,7839868,7839869,11742445,9930228,6526172,4088948,4088946,6526045,4088883,4088887,6526059,6524650,4088757,2446075,2446076,4088759,6525817,9929541,14431815,12138293,8168295,5237755,5237754,254080016,16332311,22506157,29866565,33026273,254181652,13330719,9108465,254585130,18725979,25300421,20122372,20122373,23569427,17258118,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,15929876,15929873,11287410,11287411,15544812,10750973,7548997,4774161,2877557,2877554,4774144,7548955,11362437,13330395,17513064,17512933,17307019,12184058,8215187,5285694,3237975,3237977,5285697,8215204,8249041,8242983,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,7540242,11347265,16308986,22480020,22484269,17089825,12002114,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308430,22479345,29845597,29872284,22513762,16340075,16340074,22513761,29842485,22475378,22475377,17300964,17300963,23614071,268250984,16764954,267984539,7819081,11342970,16302057,21081579,15142914,15142915,21081580,22516048,22516047,29856146,22491457,16768826,16768828,23008194,22498276,22482555,17284088,17284085,16309194,16309196,16309184,16309187,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,28287377,22498036,21080612,15142292,10443553,6884766,6884767,10443559,15142305,21080637,15142706,15112342,15112343,10586787,6983889,6983885,10586769,15327978,21294518,16764956,16764958,12150572,8180407,8180408,12150577,16764984,11717633,7819088,4961185,4961184,7819085,11717626,16764970,254760516,16357096,16357097,22014268,22014269,29346318,22025517,15924448,11047278,11047279,254346586,22529849,22512832,268407215,29862709,29883102,22528801,22528799,16356092,11382430,7562240,4781765,254182114,1672048,2881506,4781773,5959740,5959741,9108220,8169474,5238514,5238513,8169470,9966808,9966810,14485599,20188996,20123306,15967993,11083493,7349741,4642268,2796084,2796083,4605621,7301204,8188147,12157481,12157847,17278253,23589962,31073214,267755120,23856412,254080094,12349544,14431757,14431758,14431748,12349344,12349346,17512809,22957758,21569740,21569739,22503874,16329761,11361007,7548018,4773645,4773646,7548022,11361011,12168546,8200429,5271115,5271114,8200437,8195484,5265511,5265512,8195491,12164153,17284832,16328581,16322771,11361187,11361189,12141865,12141866,16329829,15929746,15929745,12139706,8169288,5238406,5238407,7494236,11287421,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11988448,11988449,11738539,11738540,11256096,11256095,16192712,254238612,7551257,11366084,16335971,22509600,22499811,22499810,21614638,15585146,11366072,11366073,254515566,23605970,254233870,15156928,15156929,21100851,254547064,33038678,25311217,18734543,15586181,10782072,10782073,11026976,11750339,7845430,7845395,7845394,7551396,4775489,2878260,2878261,4775495,7551407,11366342,254361624,11366388,13175874,8981552,5863783,267927417,13175870,16326721,16326722,15301072,10565402,10565406,15055623,13527645,13527646,17155158,17150892,17150893,23428197,23429827,17152999,17151572,12055017,12055019,8105523,5193276,5193275,8105521,12055711,12069166,8115853,8115854,8116375,7069134,6969310,4378373,4378374,3318870,3318868,5193380,5193379,8105719,8112520,5197397,3171015,3171017,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6053413,4368279,3791020,3791018,6058918,9251314,9256098,6062080,3792862,2271940,2271941,3792867,6062092,9256139,13507797,13507796,12069993,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1316071,751044,751047,1316140,2269074,3787337,5504778,8504348,12545289,17732002,24089591,22091226,15984172,15984173,22091227,16187722,16187723,22335178,29687623,26936452,26936453,31422213,31422214,36919571,28421509,21198821,15234276,15234277,21198824,23400462,267946964,28757348,34086640,26225595,26225596,29422265,30058212,30058213,30058259,22681485,16483391,11484899,11484897,16483386,22681480,21822451,21822449,29129380,37691542,47533943,44389514,35016212,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,20074720,20056975,14371971,14371968,20047203,18955315,13518793,9872930,6485833,4064123,4064126,6485847,7627143,7627140,8356462,8356465,11133578,11133582,10884306,10884305,15720912,11133784,7385032,7385034,11133792,16035047,22155754,22680665,16482780,16482777,22680655,30057319,35013767,29080326,29080329,37630648,30834593,30834594,38463679,38463677,37636163,37636164,38631218,35008151,26926408,20040978,20040980,23932088,31422526,29131194,21824149,21824148,26933258,26933256,26938990,26938982,20052955,20052954,26938978,35019931,41773287,32852176,25145257,25145258,32852180,37634241,37634240,35337055,27212830,27212831,35337049,40001844,31324148,23833520,23833519,31324142,35013851,30198523,29587887,22239884,16104194,11186127,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224722,15727500,15727502,21786011,20071438,14388208,14388207,20071432,254686522,254314912,8391888,8391886,12415976,17589835,254469192,22095190,22095191,29425953,29084597,21787022,18818675,18818674,20071428,255496328,23306289,23306288,28864307,30198677,22807841,16590520,268077534,30198680,31124500,23638566,17322906,12198027,12198029,17322911,23638572,25408761,18818098,18818097,25408758,29448107,28646792,21404924,21404923,21273079,15311871,10575090,6975469,6975472,10575095,15311881,256311033,46864653,256620393,32820870,257174839,63875862,258086448,90865353,105044116,119236413,133066206,146293397,158661366,170019405,262680374,189127090,196871047,203498264,209047828,213602434,217332562,218322506,214851747,210634699,205473353,199234484,263547076,183288777,173483148,162440985,150305059,137264103,123532945,123532944,109341124,109341125,95086718,81028165,257523120,55215173,48165924,38256524,255904798,29691157,256890354,37456659,255855494,28917329,21642741,21642742,28917330,37456665,47362701,58749443,71478550,85050080,98975101,112964127,126817869,140167740,152861385,164696610,175453788,262652918,153050974,272179674,113141589,259298944,71664364,58942895,47560324,256319238,21806805,15745642,10905093,7212284,4544159,2731632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657876, s2 = 14162431, dlinesl.size( ) = 2 s1 = 11657876, s2 = 14162431, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657876, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 2688706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13639755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8102668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3000640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9450480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9450480, s2 = 3000709, int(edited[s2]) = 0 s1 = 9450480, s2 = 3000709, d1 = 1, d2 = 1 Dl.O(d1) = 64800,112153,112152,205175,267747103,8655602,12737630,17974175,256055195,31902654,40615854,50671978,62188820,75008333,88656140,102664308,116759128,130589043,143901242,156411650,167978066,263655467,202433051,208182831,212924731,216801215,265446533,227080257,226514153,224412663,221992967,264776218,215837652,211802129,206862196,200883654,193800479,185540685,176076885,165395389,153614738,260032794,113730156,99715823,268957838,48036785,59429037,257558804,85761856,99715826,113730157,127598719,140947979,153614739,165395390,262269658,262258120,146226465,260619792,104969390,258776334,63811647,51996423,51996422,256966056,32547471,32547470,32846501,25140540,25140541,25618366,19004244,13563056,9286182,6083192,6083194,9286169,13563036,19004209,25618313,21520769,21520770,28784416,27671972,25143394,22274255,16132055,16132056,11274592,11274591,13208090,13208088,9003940,5877864,5877854,3669678,3669682,5877388,3669529,3669527,5877381,9002999,255645397,256621813,41765754,52079174,63897577,77008422,90887450,260846451,119259076,261414907,146315404,158682606,262913139,189142782,196884737,203510213,264617163,217342155,220448180,265466821,227340542,228218798,226376825 Dl.O(d2) = 64800,112153,112152,205175,267747103,8655602,12737630,17974175,256055195,31902654,40615854,50671978,62188820,75008333,88656140,102664308,116759128,130589043,143901242,156411650,167978066,263655467,202433051,208182831,212924731,216801215,265446533,227080257,226514153,224412663,221992967,264776218,215837652,211802129,206862196,200883654,193800479,185540685,176076885,165395389,153614738,260032794,113730156,99715823,268957838,48036785,59429037,257558804,85761856,99715826,113730157,127598719,140947979,153614739,165395390,262269658,262258120,146226465,260619792,104969390,258776334,63811647,51996423,51996422,256966056,32547471,32547470,32846501,25140540,25140541,25618366,19004244,13563056,9286182,6083192,6083194,9286169,13563036,19004209,25618313,21520769,21520770,28784416,27671972,25143394,22274255,16132055,16132056,11274592,11274591,13208090,13208088,9003940,5877864,5877854,3669678,3669682,5877388,3669529,3669527,5877381,9002999,255645397,256621813,41765754,52079174,63897577,77008422,90887450,260846451,119259076,261414907,146315404,158682606,262913139,189142782,196884737,203510213,264617163,217342155,220448180,265466821,227340542,228218798,226376825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9450480, s2 = 3000709, dlinesl.size( ) = 2 s1 = 9450480, s2 = 3000709, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9450480, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7816827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13495039, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6615154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6930338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6930338, s2 = 6672101, int(edited[s2]) = 0 s1 = 6930338, s2 = 6672101, d1 = 15, d2 = 18 Dl.O(d1) = 260241752 Dl.O(d2) = 257176938,51514922,51514921,63228775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6930338, s2 = 6672101, dlinesl.size( ) = 16 s1 = 3287965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656838, s2 = 16300688, int(edited[s2]) = 0 s1 = 11656838, s2 = 16300688, d1 = 21, d2 = 19 Dl.O(d1) = 29284808,24939883,18426900,13088757,8919358,8919357,13088755,18426899,256093457,257747425,76608186,90466584 Dl.O(d2) = 52151101,41832469,32907100,25195663,23051777,23051778,16805916,11751822,11751821,13779203,9447133,6193506,3876517,2321622,2321623,2160352,2160353,1282843,1282839,1282841,1282839,1282841,1282838,1282810,1282809,1282443,1282444,2208746,254108722,9037106,13248104,18633769,25195664,32907102,41832473,52151103,47092597,47092598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656838, s2 = 16300688, dlinesl.size( ) = 22 s1 = 9153675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9153675, s2 = 6777231, int(edited[s2]) = 0 s1 = 9153675, s2 = 6777231, d1 = 1, d2 = 1 Dl.O(d1) = 13783444,19281569,18279629,18279630,18644003,25208094,268468102,64008889,77139324,258340586,119478138,133337397,146583105,158950372,170292799,167813013,156218171,143687434,130360724,116522448,102425479,88424106,269394988,61995447,50503721,40467857,31773109,24261012,268253046,12385898,8369664,254596701,3326877,267845121,8369669,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409901,8383329,11748416,11244643,7464001,4716787,2841629,2841628,2841598,2841599,4716712,7463837,11244399,8602319,5590054,5404266,3322568,3322565,5404252,8373744,12391190,15743619,21804389,23716860,31204192,31192210,23894666,17548739,12378703,12378701,12379196,12379195,13516287,18952912,25564190,23707150,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,21256535,15292079,15292081,12265169,8282837,8282836,8283333,10427775,6875107,6875108,10427778,13533345,17404294,23728196,21047549,15118190,10427859,6875137,6875133,10427846,15118229,21047616,28247704,36743519,31193719,30499650,30499649,31219070,24657103,23720669,23720668,25577694,18969238,17380095,17380097,17546370,17407300,17407301,12678406,12678408,17898158,24005224,17659878,12488182,12488184,17659885,17401393,12263211,12263212,17401379,22770252,16556224,11539987,11539989,16556182,12266027,12262509,8320375,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,22770252,16556224,11539987,11539989,16556182 Dl.O(d2) = 13783444,19281569,18279629,18279630,18644003,25208094,268468102,64008889,77139324,258340586,119478138,133337397,146583105,158950372,170292799,167813013,156218171,143687434,130360724,116522448,102425479,88424106,269394988,61995447,50503721,40467857,31773109,24261012,268253046,12385898,8369664,254596701,3326877,267845121,8369669,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409901,8383329,11748416,11244643,7464001,4716787,2841629,2841628,2841598,2841599,4716712,7463837,11244399,8602319,5590054,5404266,3322568,3322565,5404252,8373744,12391190,15743619,21804389,23716860,31204192,31192210,23894666,17548739,12378703,12378701,12379196,12379195,13516287,18952912,25564190,23707150,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,21256535,15292079,15292081,12265169,8282837,8282836,8283333,10427775,6875107,6875108,10427778,13533345,17404294,23728196,21047549,15118190,10427859,6875137,6875133,10427846,15118229,21047616,28247704,36743519,31193719,30499650,30499649,31219070,24657103,23720669,23720668,25577694,18969238,17380095,17380097,17546370,17407300,17407301,12678406,12678408,17898158,24005224,17659878,12488182,12488184,17659885,17401393,12263211,12263212,17401379,22770252,16556224,11539987,11539989,16556182,12266027,12262509,8320375,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,22770252,16556224,11539987,11539989,16556182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9153675, s2 = 6777231, dlinesl.size( ) = 2 s1 = 9153675, s2 = 6777231, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9153675, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 2692136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3289730, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2692854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164378, s2 = 14164711, int(edited[s2]) = 0 s1 = 14164378, s2 = 14164711, d1 = 7, d2 = 7 Dl.O(d1) = 37410947,28869691,28869690,37410946,37943369,29378000,22047500,22047498,23459422,30892220,39498173,30890853,29371342,22040346,15937792,11059355,11059354,15937790,22040342,29371340,27977044,20813526,14917552,10257800,6740646,4223825,4223826,6740655,10257814,7338878,4635668,4635670,7338888,7338403,4635403,4635404,7338406,11067390,7338608,7338607,11067711,11058018,7332377,7332378,11058021,15935778,22037890,29368684,37935108,37935107,34206267,28560722,28560721,28560730,21334435,21334434,15935774,15935775,22037885,29368678,37935101,42165259,42165261,42165265,33205082,25457806,18858458,13436387,9186405,6012451,6012452,9186407,13436392,18858467,25457816,33205093,42165277,52523681,52457296,52457297,52457299,42105224,33151346,25410732,18819587,18819586,25410730,33151343,37151936,28636668,21396684,21396685,28636670,32459688,32459687,41302360,33151357,254969192,18819590,25410737,28040251,20872206,20872207,28040253,36503649,46361770,57711052,70405134,83931407,77402224,64252350,52396912,42052813,33103670,25368913,18785006,14342278,12606800,8555815,5552773,3437256,2033353,2033349,3437259,5552782,3729766,2233054,1295012,739172,739173,1295014,2233063,2933003,3729733,4894002,7730914,7694763,7694762,11561976,16579058,11630367,9851946,6471361,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957839,4352000,2931465,2931466,4864090,4807093,4807094,4860538,4860539,4807553,2897468,1681261,956237,538983,302102,302101,538981,956230,1681245,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804406,6080028,5966344,4818356,2903681,2903682,4818361,7615517,7738165,7598172,4806458,4806457,7598167,7585112,7585111,11413777,11614776,7734179,4896516,2950949,2950948,4896511,4812021,2900062,1682551,1682552,2900066,4812032,4811762,4811761,7599583,7599581,11430960,11438751,16422606,22605586,256963445,51297128,41116047,257052848,268702150,70401817,64000024,52169256,41846550,41846551,52169257,58879973,47698340,41176961,32361102,24744725,24744727,32361103,41176963,51363155,257500844,89803948,259359546,131871091,127414633,261704237,165250882,175953273,185436544,178754005,168448165,261637128,260506566,259285276,65166115,53181511,268608886,58137532,268379416,70851726,84409237,70878257,58164253,46796942,36919154,28686498,21436512,15441935,15441936,21436514,28686500,28421168,28421167,31209136,31209033,23722827,17436811,12290602,12290601,17436809,16897182,16897180,23158515,23226738,16953460,11865813,7930384,5041428,3052240,1781545,1781544,254376929,1785712,1018273,1015443,572383,572385,1015447,1780771,3055699,5045191,7934511,5052179,3062561,1785207,1785206,3062559,5046797,5091034,3089581,1804591,1030413,580648,324715,324714,254130183,1804571,3089545,5090985,7997305,11897236,11897237,11944089,11944091,11933098,11933099,17017168,16953312,16953311,23226631,23237934,23276681,254178618,15153364,17016050,11934174,7986702,7986701,11934170,17018196,23273960,30652007,267795370,11932414,7985263,7985262,11932412,17016667,23267620,17003653,17003654,17527880,12609102,11947127,11947128,16234209,17527848,17527847,17527959,23872418,31367117,40047436,40047440,50066732,61544816,64084303,52237967,257767993,77227836,91143734,89354813,75593562,75593561,89354812,103450289,117580672,131380890,144603802,133564782,119690225,105452115,91230496,91230497,105452117,105452112,91230494,77311239,77311238,77311228,64163162,52311622,257056770,33027877,33027874,25301770,18727094,13331561,13331560,18727093,21473670,255166626,12688426,12052516,8103222,5191935,3168168,1854938,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,2269159,2269127,2269125,3787439,6052499,6066641,6067706,3796410,2273987,2273986,3796408,6066625,9262511,13532492,17165348,12069120,8115814,8115811,9252399,9252400,13520615,18956942,13641818,9341629,6118907,6118909,9341635,11254491,11254492,12059176,8108150,5194759,5194758,8108146,12059169,16649681,13537374,13537375,15287943,10553321,6960348,6960347,6964034,6053453,3788054,3074617,1793643,1023190,1023186,1793605,1316505,1316507,1316071,751044,751043,1316125,2269034,267861683,9240948,13506258,18942746,25555871,28126104,33317947,33317948,42298603,52685297,64585848,77768764,91696280,91696283,77768767,64585850,64585849,77768765,73192217,60445683,60445682,53156412,42706706,33676610,33676611,34656450,43929310,256023248,53156411,57709171,46359999,46359998,37382214,28842407,21571116,21571115,28842405,37382210,47291448,256641902,74970883,74970659,62159138,62159137,62159139,62159140,62159133,50650070,257421228,46443916,46443917,57799061,57799060,70499755,84034395,97904163,100901607,86921241,73311192,60568163,257596609,49169226,60568159,73311186,86921237,73311203,60568172,49169234,49169233,60568171,73311201,86921252,260067833,100901619,100901617,100901616,100901611,100901610,100901620,86921249,73311196,73311195,86921247,86921250,100901618,114954211,128854583,142212298,154847961,143175409,129844089,260097662,101897965,87924029,74321036,74321037,87924026,101897961,115944178,129844078,143175398,143175403,143175402,155729544,167363966,177860851,167363962,155729540,155729542,167363964,177860848,177860849,187133425,195205034,202104993,199397092,199397091,192041933,183492474,173714046,162704920,150606602,137610507,137610506,123932514,109796638,95594581,81561087,68071179,55672211,44762870,256235901,20283860,14554026,10014304,10014305,14554029,10014307,10014306,14554030,10014315,10014316,10014313,10014314,14554040,20283868,27212244,35336516,44762886,47166406,258061307,259312755,258890678,85607253,79133575,65778748,65778749,72018667,270060941,65778717,79133544,85607251,72018666,59281681,59281682,72018657,259101293,93249061,93249060,107651934,122026323,108643031,257882906,66869260,66869261,65778743,53721977,43868484,256197678,66869265,80298569,94355071,257882906,66869260,54611228,54611227,66869259,80298564,79133554,65778727,53721964,53721963,65778725,259101293,93249061,93249060,107651934,122026323,108643031,257882906,66869260,66869261,257882908,107651939,108643030,94355068,80298565 Dl.O(d2) = 37410947,28869691,28869690,37410946,37943369,29378000,22047500,22047498,23459422,30892220,39498173,30890853,29371342,22040346,15937792,11059355,11059354,15937790,22040342,29371340,27977044,20813526,14917552,10257800,6740646,4223825,4223826,6740655,10257814,7338878,4635668,4635670,7338888,7338403,4635403,4635404,7338406,11067390,7338608,7338607,11067711,11058018,7332377,7332378,11058021,15935778,22037890,29368684,37935108,37935107,34206267,28560722,28560721,28560730,21334435,21334434,15935774,15935775,22037885,29368678,37935101,42165259,42165261,42165265,33205082,25457806,18858458,13436387,9186405,6012451,6012452,9186407,13436392,18858467,25457816,33205093,42165277,52523681,52457296,52457297,52457299,42105224,33151346,25410732,18819587,18819586,25410730,33151343,37151936,28636668,21396684,21396685,28636670,32459688,32459687,41302360,33151357,254969192,18819590,25410737,28040251,20872206,20872207,28040253,36503649,46361770,57711052,70405134,83931407,77402224,64252350,52396912,42052813,33103670,25368913,18785006,14342278,12606800,8555815,5552773,3437256,2033353,2033349,3437259,5552782,3729766,2233054,1295012,739172,739173,1295014,2233063,2933003,3729733,4894002,7730914,7694763,7694762,11561976,16579058,11630367,9851946,6471361,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957839,4352000,2931465,2931466,4864090,4807093,4807094,4860538,4860539,4807553,2897468,1681261,956237,538983,302102,302101,538981,956230,1681245,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804406,6080028,5966344,4818356,2903681,2903682,4818361,7615517,7738165,7598172,4806458,4806457,7598167,7585112,7585111,11413777,11614776,7734179,4896516,2950949,2950948,4896511,4812021,2900062,1682551,1682552,2900066,4812032,4811762,4811761,7599583,7599581,11430960,11438751,16422606,22605586,256963445,51297128,41116047,257052848,268702150,70401817,64000024,52169256,41846550,41846551,52169257,58879973,47698340,41176961,32361102,24744725,24744727,32361103,41176963,51363155,257500844,89803948,259359546,131871091,127414633,261704237,165250882,175953273,185436544,178754005,168448165,261637128,260506566,259285276,65166115,53181511,268608886,58137532,268379416,70851726,84409237,70878257,58164253,46796942,36919154,28686498,21436512,15441935,15441936,21436514,28686500,28421168,28421167,31209136,31209033,23722827,17436811,12290602,12290601,17436809,16897182,16897180,23158515,23226738,16953460,11865813,7930384,5041428,3052240,1781545,1781544,254376929,1785712,1018273,1015443,572383,572385,1015447,1780771,3055699,5045191,7934511,5052179,3062561,1785207,1785206,3062559,5046797,5091034,3089581,1804591,1030413,580648,324715,324714,254130183,1804571,3089545,5090985,7997305,11897236,11897237,11944089,11944091,11933098,11933099,17017168,16953312,16953311,23226631,23237934,23276681,254178618,15153364,17016050,11934174,7986702,7986701,11934170,17018196,23273960,30652007,267795370,11932414,7985263,7985262,11932412,17016667,23267620,17003653,17003654,17527880,12609102,11947127,11947128,16234209,17527848,17527847,17527959,23872418,31367117,40047436,40047440,50066732,61544816,64084303,52237967,257767993,77227836,91143734,89354813,75593562,75593561,89354812,103450289,117580672,131380890,144603802,133564782,119690225,105452115,91230496,91230497,105452117,105452112,91230494,77311239,77311238,77311228,64163162,52311622,257056770,33027877,33027874,25301770,18727094,13331561,13331560,18727093,21473670,255166626,12688426,12052516,8103222,5191935,3168168,1854938,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,2269159,2269127,2269125,3787439,6052499,6066641,6067706,3796410,2273987,2273986,3796408,6066625,9262511,13532492,17165348,12069120,8115814,8115811,9252399,9252400,13520615,18956942,13641818,9341629,6118907,6118909,9341635,11254491,11254492,12059176,8108150,5194759,5194758,8108146,12059169,16649681,13537374,13537375,15287943,10553321,6960348,6960347,6964034,6053453,3788054,3074617,1793643,1023190,1023186,1793605,1316505,1316507,1316071,751044,751043,1316125,2269034,267861683,9240948,13506258,18942746,25555871,28126104,33317947,33317948,42298603,52685297,64585848,77768764,91696280,91696283,77768767,64585850,64585849,77768765,73192217,60445683,60445682,53156412,42706706,33676610,33676611,34656450,43929310,256023248,53156411,57709171,46359999,46359998,37382214,28842407,21571116,21571115,28842405,37382210,47291448,256641902,74970883,74970659,62159138,62159137,62159139,62159140,62159133,50650070,257421228,46443916,46443917,57799061,57799060,70499755,84034395,97904163,100901607,86921241,73311192,60568163,257596609,49169226,60568159,73311186,86921237,73311203,60568172,49169234,49169233,60568171,73311201,86921252,260067833,100901619,100901617,100901616,100901611,100901610,100901620,86921249,73311196,73311195,86921247,86921250,100901618,114954211,128854583,142212298,154847961,143175409,129844089,260097662,101897965,87924029,74321036,74321037,87924026,101897961,115944178,129844078,143175398,143175403,143175402,155729544,167363966,177860851,167363962,155729540,155729542,167363964,177860848,177860849,187133425,195205034,202104993,199397092,199397091,192041933,183492474,173714046,162704920,150606602,137610507,137610506,123932514,109796638,95594581,81561087,68071179,55672211,44762870,256235901,20283860,14554026,10014304,10014305,14554029,10014307,10014306,14554030,10014315,10014316,10014313,10014314,14554040,20283868,27212244,35336516,44762886,47166406,258061307,259312755,258890678,85607253,79133575,65778748,65778749,72018667,270060941,65778717,79133544,85607251,72018666,59281681,59281682,72018657,259101293,93249061,93249060,107651934,122026323,108643031,257882906,66869260,66869261,65778743,53721977,43868484,256197678,66869265,80298569,94355071,257882906,66869260,54611228,54611227,66869259,80298564,79133554,65778727,53721964,53721963,65778725,259101293,93249061,93249060,107651934,122026323,108643031,257882906,66869260,66869261,257882908,107651939,108643030,94355068,80298565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164378, s2 = 14164711, dlinesl.size( ) = 2 s1 = 14164378, s2 = 14164711, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164378, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 8637032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8637032, s2 = 6813926, int(edited[s2]) = 0 s1 = 8637032, s2 = 6813926, d1 = 22, d2 = 19 Dl.O(d1) = 260253571,77232506 Dl.O(d2) = 258787167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8637032, s2 = 6813926, dlinesl.size( ) = 12 s1 = 9122072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2693487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2693487, s2 = 8425593, int(edited[s2]) = 0 s1 = 2693487, s2 = 8425593, d1 = 17, d2 = 9 Dl.O(d1) = 77238225,77238226,91153803,105371630,271979503,261954859,146712382,133465928,261418265 Dl.O(d2) = 260254011,105371656,259010053,259010051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2693487, s2 = 8425593, dlinesl.size( ) = 22 s1 = 3290736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2694078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2694078, s2 = 8572195, int(edited[s2]) = 0 s1 = 2694078, s2 = 8572195, d1 = 22, d2 = 42 Dl.O(d1) = 77252155 Dl.O(d2) = 152553339,152553340,152553346,139839450,139839449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2694078, s2 = 8572195, dlinesl.size( ) = 2 s1 = 2694078, s2 = 8572195, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2694078, Dl.E( ) = 62, 3.81e-05 seconds used appending s1 = 3005754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3005754, s2 = 178820, int(edited[s2]) = 0 s1 = 3005754, s2 = 178820, d1 = 4, d2 = 23 Dl.O(d1) = 91182186 Dl.O(d2) = 9061873,13277259,10721494,7083251,4459517,4459516,4459543,7083303,10721542,15503394,21513429,28775199,256873893,58603979,47215149,258064473,84907589,260536259,140033789,152728189,164565930,175328605,164564268,259315802,126678924,257453626,84904790,257453628,126678926,140031917,152726424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3005754, s2 = 178820, dlinesl.size( ) = 2 s1 = 3005754, s2 = 178820, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3005754, Dl.E( ) = 24, 7.15e-06 seconds used appending s1 = 3006120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3006120, s2 = 11137484, int(edited[s2]) = 0 s1 = 3006120, s2 = 11137484, d1 = 47, d2 = 133 Dl.O(d1) = 91189688,91189689 Dl.O(d2) = 257934547,72661891,59921559,48527556,48527557,59921560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3006120, s2 = 11137484, dlinesl.size( ) = 60 s1 = 2695270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2695917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6728922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6728922, s2 = 6574762, int(edited[s2]) = 0 s1 = 6728922, s2 = 6574762, d1 = 0, d2 = 0 Dl.O(d1) = 257786374,257786377,256125949 Dl.O(d2) = 257786374,257786377,256125949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6728922, s2 = 6574762, dlinesl.size( ) = 2 s1 = 6728922, s2 = 6574762, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6728922, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 6821952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6821952, s2 = 2995450, int(edited[s2]) = 0 s1 = 6821952, s2 = 2995450, d1 = 23, d2 = 19 Dl.O(d1) = 258868710,105432739,91210700,77290660,77290659,91210699,92582542,92582541,90678645,90678646,101764614,87791829,87791828,87621446,87621447,101588607,101731604,101588620,87621461,87621462,87621448,74017182,61236546,49757566,49757568,61236549,74017180,61236545,61236544,74017177,87621444,101588603,115628964,101588622,87621464,87621463,101588621,101588623 Dl.O(d2) = 63707049,76809475,90678647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6821952, s2 = 2995450, dlinesl.size( ) = 2 s1 = 6821952, s2 = 2995450, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6821952, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8484507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8484507, s2 = 8373838, int(edited[s2]) = 0 s1 = 8484507, s2 = 8373838, d1 = 11, d2 = 19 Dl.O(d1) = 257882653,270632581,108625947,260968497,122890004,122890005,136721574,123940975,109804527,95602175,259014378,81568603,257183520 Dl.O(d2) = 63529703,51751282,41481551,41481552,51751287,63529712,76609362,90467745,76609546,76609543,90467944,260231854,115076093,101004866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8484507, s2 = 8373838, dlinesl.size( ) = 2 s1 = 8484507, s2 = 8373838, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8484507, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 10353091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353091, s2 = 7058983, int(edited[s2]) = 0 s1 = 10353091, s2 = 7058983, d1 = 21, d2 = 25 Dl.O(d1) = 259352475 Dl.O(d2) = 261985183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10353091, s2 = 7058983, dlinesl.size( ) = 20 s1 = 8000726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8000726, s2 = 8254724, int(edited[s2]) = 1 s1 = 9660523, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14164496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8473611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1629042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1629042, s2 = 13431032, int(edited[s2]) = 0 s1 = 1629042, s2 = 13431032, d1 = 35, d2 = 37 Dl.O(d1) = 41210298,51404133,63097297,52325838,256816260,77325548,91245616,103909641,89808613,89808612,103909637,260212607,131875378 Dl.O(d2) = 81115328,84983147,71409234,58675134,47283923,37374457,37374460,35087655,35087656,44463292,44464525,55310249,55309671,44464102,257310661,67648903,81115332,95173592,100556836,114588861,100556840,86595190,84891429,71317379,71317378,81115326,95173586,95173588,95173587,109429796,123622328,260014602,260614864,260014600,128474691,114588865,100556842,86595191,72997525,60261950,60261951,72997528,86595194,100556844,89808609,81114952,67648493,270136971,95173244,109429502,260992123,150396907,145131941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 10355143, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8324215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8324215, s2 = 7989876, int(edited[s2]) = 0 s1 = 8324215, s2 = 7989876, d1 = 37, d2 = 44 Dl.O(d1) = 77330072,77330071,77330070,77330108 Dl.O(d2) = 47530230,58911362,58911370,58911369,71631932,60637709,49236970,49236971,57848294,49236959,39310195,39310194,49236957,47530170,37623707,29072815,29072816,37623712,30712501,30712502,39310178,47530176,268685880,48580978,59972708,71631868,58911297,58911298,71631870,259335459,97960949,84087124,70550204,70550203,72709804,59972701,48580965,38664810,38664811,47530237,47530236,257602118,37623775,37623776,47530257,48580861,59972565,49236973,39310203,30712524,23296023,23296022,30712520,39310196,49236962,47530162,37623702,37623701,30712507,23296013,23296014,30712509,30712515,39310188,48580980,51194379,53946073,66016066,256035172,35328336,35328334,44756156,47114471,58492753,59972705,48580976,38664815,30087470,22705574,16501569,254791017,4838713,4838711,7647789,11497893,16501546,22705534,255142526,48580864,40281614,31597395,24093746,17735735,12548700,255193511,22705580,30087475,38664823,48580984,49733688,39714878,31037380,23555374,17246464,17246465,23555369,31037374,39714865,41038346,34318438,26439860,19700481,14125390,14125391,19700483,22076806,29407530,37971421,47889739,59286097,58306009,46939874,46939873,46611720,36724025,36724024,37061097,28560071,21333874,21333872,28560066,36742128,36742127,36742110,36742111,34593515,34593514,36742174,28246369,21046502,15117371,10427275,10427276,15117380,16795488,23040379,30448253,255015982,36742446,28246620,28246618,36742369,36742370,46629987,46679304,36793198,36793199,46679309,54647203,43904551,37379518,31081521,31081522,39759277,42098718,42098717,34659026,28246573,28246544,21046624,15117466,15117464,19851364,14222121,14222119,19851357,21046560,28246452,34659065,34659063,34593547,26606402,19799238,14181969,14181970,19799243,26606411,34593552,43864211,43864217,54607169,43905330,34632728,26642201,19829347,19829346,26642196,34632724,43905324,42098745,33144554,25404484,25404485,33144559,33144646,26641331,19828708,14204170,255315243,19828700,15545625,10751590,10751589,15545620,21567785,28839294,37379504,28839370,21567841,21567839,28839362,37379585,39395810,30793086,23366909,23366908,30793079,255728579,19829142,26641922,23460025,23460024,26642127,26642128,26641260,19828667,14204142,14204141,14204160,14204159,19828689,21716162,15672746,15672745,21716160,29001602,37547260,43904734,34632057,34632058,26641551,19828864,14204269,9764560,6420083,4027694,4027693,6420078,9764553,14204254,19828842,14204599,14204600,19829374,26642224,33144502,33144503,33144685,33144684,42098852,34631907,26641370,19828742,14204199,9764508,6420057,6420058,254648571,3750793,3750794,254648573,13403849,18814874,25404618,25404510,25404511,19829363,19829362,268538571,14204291,9764574,9764575,14204296,19828913,19829387,26641423,19828983,19828984,18698705,13305705,9087308,9087309,13305709,14204545,15145182,21084655,19828892,19828893,26641470,19828811,19828812,26641477,28207482,256827849,43905218,43905219,54647563,48008825,48008824,256407140,43904687,34631999,34632000,43904651,34631958,34631959,43904654,49735724,268949492,23557818,17248532,17248531,23557817,268672687,256296137,21084660,15145185,15145183,21084656,28291234,21870201,15796182,10944549,7242313,4565959,2746042,2746040,3164700,3164699,5187355,8097075,6918199,6918198,10491393,15176299,15176298,21124780,15209510,10491643,6918339,4346221,4346220,4346183,4346182,6918279,255019535,21166384,28384331,36880856,46759596,58127935,70842392,84399736,78875674,259090867,105471815,91249713,77330052,258391281,52332608,41993372,41993373,46791245,46791246,57701669,46352336,46352335,46704789,46704788,58076929,70794320,70804319,64182808,52332636,52332637,64182813,57701701,57701700,70395782,83921948,89362888,103458603,98271308,257599068,257599066,258206826,269922075,89362983,259868489,258391285,52332623,41993378,41993377,40893916,32119866,24542101,24542087,24542086,32119848,40893892,36833307,32119853,24542089,18108015,18108014,24542086,32119849,40893895,51031668 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164388, s2 = 14164197, int(edited[s2]) = 0 s1 = 14164388, s2 = 14164197, d1 = 0, d2 = 0 Dl.O(d1) = 113054896,99066901,270302217,71571893,85142136,99066903,113054899,126907690,140254181,140254176,126907685,113054893,99066896,99066897,99066895,85142134,71571889,58844990,47459668,37552179,29006552,29006553,37552182,47459670,47459674,37552184,29006555,29006554,29006556,37552186,47459678,58845002,66859475,66859474,80288861,94345036,108632270,122896568,108632273,259131509,66859476,54601303,43858137,34587583,34587584,43858138,43858139,34587585,26600746,19794602,14178683,9747302,9747301,14178681,19794597,26600737,26600734,26600733,26600732,34587571,30212706,30212707,38796901,48718005,48718002,48718003,60112669,72849109,71770489,59027772,52053910,256754330,25114775,255336434,27111907,20210776,14502821,14502822,255336586,27111920,27111919,35201806,44579918,55426923,67766597,81232528,85838978,72247133,72247127,59512677,48125158,38214793,29648239,22296237,16151060,11220780,7445156,4704067,2833818,2833819,4704030,4704031,7445074,11220661,16150928,22296110,29648136,38214723,38444506,29888417,22534269,22534268,29888415,29760710,29760711,26222927,19508559,19508562,20107845,20107846,26998310,34083461,26222808,19508478,15403726,15403724,16145650,16145649,22289687,29641301,35183411,27094633,20195538,14490520,9970187,9970186,14490519,16359894,16359895,22533259,29887504,38391437,40564868,50605875,62104518,59730189,48346349,38444278,38444279,257536191,258145511,86063665,77336682,64189743,52339695,42000657,42000658,38999634,256998893,60322022,73062979,72064256,59329949,47938236,38024508,38024507,47938234,57817785,70519127,74201661,87805134,101777640,258874548,129722993,128905123,115003103,100949048,258145510,95274002,81216173,67749683,55409206,44561557,254782136,16281783,11323009,11323010,11322060,7518339,7518295,4752920,2864477,1662545,1662547,2864483,4752931,2864576,1662598,945971,945970,1662595,2864569,4753018,7518421,11322131,15882958,11323190,7519526,4753952,4753953,4752528,4752527,7288418,11009955,15882820,21977698,17886195,12668941,12668943,13612245,13612246,19067174,25691574,24612853,18164047,18163947,18163946,16147604,16147603,22292177,29644206,29644203,29644204,38210967,48121386,59508853,72243381,85835351,99788074,256397634,255462490,51123382,62754580,75701499,81232537,67766608,67766609,67766612,257919715,44579936,44579935,55426937,55426933,55426932,55426931,256754475,27111934,20210796,14502832,14502833,20210797,27111931,20210811,14502842,9979575,9979574,14502841,14502852,17587322,17587323,23929200,31418101,23928436,17586740,12413707,12413706,255570353,27110848,20210640,20210641,20211590,17586449,12413757,9979468,9978945,6558856,6558854,9978939,14501985,15527558,15527560,21544407,23928126,23928085,17586445,12413495,12413494,17586442,23928082,23928148,23928147,27110542,27110543,35200366,44578566,257919555,258735469,59275305,47879933,47879932,59275304,47879939,37962114,29397725,22067306,15962512,11078778,7346154,7346155,7345210,7345208,11077323,15955746,15935799,11078106,7345732,4639638,2794527,2794526,254522559,11074923,7343515,4638281,2793825,2793826,4638290,4638459,2793905,1620596,921609,519584,519583,921603,1620583,2793882,4638410,7343729,7343863,11075375,10258018,10258020,11058957,7332892,4632287,4632288,7332897,11058966,15937242,22039714,28316185,22045924,15942930,15936189,15936188,11062564,7335091,4633457,4633456,7335085,11062553,11077389,15951520,11070020,7340241,4636443,4636441,254231628,15937698,11059303,11059302,14917370,15962801,11079019,11050106,11050107,11062846,11062844,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955375,15965051,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494016,15943693,15943626,11063779,11060961,11060960,15935781,22037894,22038071,15935936,15935934,15936090,15936087,15936149,15955589,22059899,29329584,22060791,15956448,15956450,22060794,29391297,29396489,29396487,29376129,22045417,22045419,22064880,15960201,15610444,15610443,21642393,25540542,18928068,13493726,13493727,15943020,14511913,14511914,18929738,18929437,13494715,9232375,9232377 Dl.O(d2) = 113054896,99066901,270302217,71571893,85142136,99066903,113054899,126907690,140254181,140254176,126907685,113054893,99066896,99066897,99066895,85142134,71571889,58844990,47459668,37552179,29006552,29006553,37552182,47459670,47459674,37552184,29006555,29006554,29006556,37552186,47459678,58845002,66859475,66859474,80288861,94345036,108632270,122896568,108632273,259131509,66859476,54601303,43858137,34587583,34587584,43858138,43858139,34587585,26600746,19794602,14178683,9747302,9747301,14178681,19794597,26600737,26600734,26600733,26600732,34587571,30212706,30212707,38796901,48718005,48718002,48718003,60112669,72849109,71770489,59027772,52053910,256754330,25114775,255336434,27111907,20210776,14502821,14502822,255336586,27111920,27111919,35201806,44579918,55426923,67766597,81232528,85838978,72247133,72247127,59512677,48125158,38214793,29648239,22296237,16151060,11220780,7445156,4704067,2833818,2833819,4704030,4704031,7445074,11220661,16150928,22296110,29648136,38214723,38444506,29888417,22534269,22534268,29888415,29760710,29760711,26222927,19508559,19508562,20107845,20107846,26998310,34083461,26222808,19508478,15403726,15403724,16145650,16145649,22289687,29641301,35183411,27094633,20195538,14490520,9970187,9970186,14490519,16359894,16359895,22533259,29887504,38391437,40564868,50605875,62104518,59730189,48346349,38444278,38444279,257536191,258145511,86063665,77336682,64189743,52339695,42000657,42000658,38999634,256998893,60322022,73062979,72064256,59329949,47938236,38024508,38024507,47938234,57817785,70519127,74201661,87805134,101777640,258874548,129722993,128905123,115003103,100949048,258145510,95274002,81216173,67749683,55409206,44561557,254782136,16281783,11323009,11323010,11322060,7518339,7518295,4752920,2864477,1662545,1662547,2864483,4752931,2864576,1662598,945971,945970,1662595,2864569,4753018,7518421,11322131,15882958,11323190,7519526,4753952,4753953,4752528,4752527,7288418,11009955,15882820,21977698,17886195,12668941,12668943,13612245,13612246,19067174,25691574,24612853,18164047,18163947,18163946,16147604,16147603,22292177,29644206,29644203,29644204,38210967,48121386,59508853,72243381,85835351,99788074,256397634,255462490,51123382,62754580,75701499,81232537,67766608,67766609,67766612,257919715,44579936,44579935,55426937,55426933,55426932,55426931,256754475,27111934,20210796,14502832,14502833,20210797,27111931,20210811,14502842,9979575,9979574,14502841,14502852,17587322,17587323,23929200,31418101,23928436,17586740,12413707,12413706,255570353,27110848,20210640,20210641,20211590,17586449,12413757,9979468,9978945,6558856,6558854,9978939,14501985,15527558,15527560,21544407,23928126,23928085,17586445,12413495,12413494,17586442,23928082,23928148,23928147,27110542,27110543,35200366,44578566,257919555,258735469,59275305,47879933,47879932,59275304,47879939,37962114,29397725,22067306,15962512,11078778,7346154,7346155,7345210,7345208,11077323,15955746,15935799,11078106,7345732,4639638,2794527,2794526,254522559,11074923,7343515,4638281,2793825,2793826,4638290,4638459,2793905,1620596,921609,519584,519583,921603,1620583,2793882,4638410,7343729,7343863,11075375,10258018,10258020,11058957,7332892,4632287,4632288,7332897,11058966,15937242,22039714,28316185,22045924,15942930,15936189,15936188,11062564,7335091,4633457,4633456,7335085,11062553,11077389,15951520,11070020,7340241,4636443,4636441,254231628,15937698,11059303,11059302,14917370,15962801,11079019,11050106,11050107,11062846,11062844,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955375,15965051,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494016,15943693,15943626,11063779,11060961,11060960,15935781,22037894,22038071,15935936,15935934,15936090,15936087,15936149,15955589,22059899,29329584,22060791,15956448,15956450,22060794,29391297,29396489,29396487,29376129,22045417,22045419,22064880,15960201,15610444,15610443,21642393,25540542,18928068,13493726,13493727,15943020,14511913,14511914,18929738,18929437,13494715,9232375,9232377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164388, s2 = 14164197, dlinesl.size( ) = 2 s1 = 14164388, s2 = 14164197, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164388, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6927988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2699429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2699429, s2 = 11106906, int(edited[s2]) = 0 s1 = 2699429, s2 = 11106906, d1 = 105, d2 = 96 Dl.O(d1) = 64198302,52348014,52348013,64198299,77345743,91265714,105488101,119727246 Dl.O(d2) = 59093017,256222530,31197875,31197876,255782178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2699429, s2 = 11106906, dlinesl.size( ) = 26 s1 = 13510293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018737, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13537485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6885092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2701798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2702898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3013390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164170, s2 = 15197732, int(edited[s2]) = 0 s1 = 14164170, s2 = 15197732, d1 = 19, d2 = 10 Dl.O(d1) = 115246670,115246668,129177222,142553313,149383846,143454491,141084626,127731941,113859265,99841881,85887327,259381525,113859261,109569727,95312900,270140633,44590071,268915563,28497896,21280388,255822673,15317789,255393769,28497898,36995303,256970228,58241457,46873944,36995220,36995221,46873946,257429411,36995254,28497863,21280359,21280358,28497859,36995252,46873990,58241506,58241467,46873952,36995267,28497869,21280363,15317772,15317773,255393767,10579751,6979156,6979155,10579749,15317768,15317781,10579755,6979160,4384965,2626716,1516441,1516440,2626714,4384961,254728337,15317766,15319490,15317794,10579761,6979163,4384970,254497151,10579742,10579743,15317760,15317779,15317778,21280376,28497886,36995286,46874023,255573798,46611366,36723718,36723717,36723727,46611380,57987597,256531908,36723719,28497816,21280332,21280333,21032867,21032866,28229901,28497813,28497812,256756538,46275222,57619621,57987544,57987543,70704814,57987541,57987542,61605148,50125214,40105025,257075399,258267151 Dl.O(d2) = 38135984,38135985,48049524,49731031,53840604,257920415,72169820,72169821,85764015,99718051,85764003,72169811,72169812,257920417,55439492,66957090,66957091,73988675,73988674,87589070,101551642,99728008,85774341,72179916,59441376,59441375,66957089,258509255,73988679,61209565,52675175,52675174,64575308,77757930,77757932,77757931,73988689,61209578,49731037,49731034,61209572,67740498,67740499,81205150,67740501,65053798,53071257,42623657,256153553,25802125,33599097,42623660,53071261,53071262,53071264,268202082,33433597,33433599,36588428,36588429,269089447,33433586,33433588,42425967,52830182,64749542,64749548,52830185,42425969,42425968,42425983,42425984,52830201,52830188,42426004,33433611,25664237,25664236,33433609,33599098,33599099,257227765,258437037,64749617,257216817,33433626,25664245,19044383,19044382,25664242,33433622,42426019,52830246,52830218,42426017,42426018,257808083,36716022,36716021,46604163,258643713,91868685,258424223,52830212,42425992,33433604,33433605,257216813,64749574,258643717,70699166,259270191,77943844,64749580,52830215,52830216,259678335,259400466,74036163,61256037,49777246,49777245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164170, s2 = 15197732, dlinesl.size( ) = 2 s1 = 14164170, s2 = 15197732, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164170, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 6616429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2703722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9076435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2704137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2704611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7915003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7915003, s2 = 14254733, int(edited[s2]) = 0 s1 = 7915003, s2 = 14254733, d1 = 9, d2 = 19 Dl.O(d1) = 257642080,46383598,257059524,35151835,256558161,255287081,254454925,3864519,3864449,2314953,2314950,3864442,6175843,9425354,13755118,256127379,42148185,257788443 Dl.O(d2) = 203985328,203985329,209428390,264873877,217562056,220623166,223227239,225479297,225479295,225479296,265791549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7915003, s2 = 14254733, dlinesl.size( ) = 8 s1 = 2705802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3018035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3018035, s2 = 2235727, int(edited[s2]) = 0 s1 = 3018035, s2 = 2235727, d1 = 17, d2 = 16 Dl.O(d1) = 91524307 Dl.O(d2) = 60108522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3018035, s2 = 2235727, dlinesl.size( ) = 2 s1 = 3018035, s2 = 2235727, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3018035, Dl.E( ) = 44, 1.48e-05 seconds used appending s1 = 2708603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9162160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3019018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3019414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4013070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4013070, s2 = 7013665, int(edited[s2]) = 0 s1 = 4013070, s2 = 7013665, d1 = 12, d2 = 11 Dl.O(d1) = 147137600,271994942,259665478,77721459,64539640,52640571,42255162,33275601,256081037,24743639,25524143,33284254,42263996,52649787,64549036,77731257,258937030 Dl.O(d2) = 62426087,261345473,156701875,168191084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4013070, s2 = 7013665, dlinesl.size( ) = 2 s1 = 4013070, s2 = 7013665, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 4013070, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 9261703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9128842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9128842, s2 = 15054675, int(edited[s2]) = 0 s1 = 9128842, s2 = 15054675, d1 = 29, d2 = 56 Dl.O(d1) = 52647759 Dl.O(d2) = 9813670,14282451,19942932,26800678,34850924,44200250,55028105,67341287,80810192,94875864,103326676,89233021,75480485,62554745,50947162,40824063,32060843,32060844,40824065,50947168,258318937,89233048,260186947,131266362,261004450,145330891,145330892,132098021,118281516,259821566,76190838,63180826,63180827,258977333,104124876,118281517,113178975,108979946,108979944,113180726,271682026,131266662,131266661,144498868,260460614,145333683,132101306,118285129,257377792,76195099,76195098,258611654,118285124,132101299,133622614,119752172,119752173,133622616,146876486,159247891,257979098,132107460,118293286,118293285,269272034,79613941,66225841,66225842,66722247,54486755,54486756,66722251,76195100,257737375,41268465,32434257,256597701,51477730,63087623,63087678,51395701,41202890,32382686,24762488,18285640,12978639,12978640,255625123,32382721,41202941,51395764,58530268,47142085,47142084,41045119,41045118,41045117,32251966,32251967,37375963,46872219,50691469,50691470,51201194,48580992,48580991,256094598,40632463,46359511,57708683,270272765,61890767,50400198,40364891,31670177,24160558,22442245,22442246,29808937,255913521,16273724,11315873,255082848,255459746,41351074,48291174,38380480,29808517,29808516,38380476,48291160,38380469,38380435,38380436,38380488,29808524,29808522,22442239,22442240,22442179,22442180,29808849,29808853,29808854,38380919,47113055,37216016,28691132,23440592,17166967,12070719,8117076,5200210,5200211,8117080,12070728,17166986,23440619,30868909,38380407,37216049,28691156,28691158,32504119,41351083,48291082,48291083,55624612,55624613,48291102,38380418,35306569,35306570,44726213,55624597,48291166,48291164,58819200,47432655,47432654,50182266,40157527,40157528,48291585,59677999,48291046,39472314,30868875,23440601,23440600,30868872,39472308,49400843,60801416,49400773,39472254,30868832,23440582,23440584,30868841,39472262,49400783,59678067,51572481,51572480,47113042,37216009,37216010,47113047,51325129,41140681,41140680,41859284,41859280,52184733,64019077,72413331,72413332,78430466,65148439,53164004,53164005,55624588,68012057,72413240,70849697,58135356,58135357,60801523,59678093,49400807,39472283,39472281,48326239,48326240,39472352,39472351,39472303,39472302,49400834,49400744,49400743,60801376,73548396,257155436,258221999,258677464,257442784,47113067,47113066,58491088,71212874,84781907,87153095 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658166, s2 = 8298276, int(edited[s2]) = 0 s1 = 11658166, s2 = 8298276, d1 = 7, d2 = 7 Dl.O(d1) = 29246134,255436907,10976508,7265196,4581681,2756502,1597945,908402,512289,287160,158715,158714,287157,512282,908389,1597924,2756467,4581632,7265054,7265053,8635340,10976292,10976363,7265086,5844600,5844601,8954450,13138518,13146727,8960352,5848656,3649943,3649942,5848653,8960348,13146722,255218893,12852653,10976056,10976055,10976288,7265013,7265014,8743778,8743801,8648565,5625072,5625073,8648567,8735873,5692491,3541383,2108329,2108330,3541385,5692496,8743810,8735862,5687306,5687305,8735859,8648606,8648605,12727939,12727921,12727922,17960894,12727929,8648599,267850605,3494883,5625097,8648601,12727926,12727925,17949489,12727885,8648552,5625067,5625066,8648549,12727880,17960837,24353951,24339809,17949488,12719351,12719350,17949486,24339806,31861998,40563616,40563605,31861994,24339801,24339800,256298024,28335031,21123069,15174868,10465707,6898570,4330514,2590889,2590888,4330511,6898563,10465693,15174847,21123031,28334973,28335036,36831539,46714199,37166683,37166682,46714093,256298008,28334954,21123018,21123017,28334951,21123043,21123042,28334988,22017420,15915770,15915769,15174872,15174870,21123073,22058002,15953918,15953919,22058004,29388601,37953693,46714188,36831529,36831521,28649755,28649756,29275985,37842744,46714092,36831439,28649760,28649761,37166685,47058009,50346647,59130434,64773977,70802773,58085898,47872038,37953698,37953697,47872037,59267739,257237348,53233072,42781976,42781975,53233070,65221606,61830603,61830604,52668137,42280796,33299439,25537454,18925643,18925644,25537456,33299443,42280805,52668142,42280803,257206737,64568697,77751295,91678282,91678276,77751291,77751290,81261496,67793205,55451067,44602094,44602093,55451065,67793203,258158579,48516969,46744569,36863246 Dl.O(d2) = 29246134,255436907,10976508,7265196,4581681,2756502,1597945,908402,512289,287160,158715,158714,287157,512282,908389,1597924,2756467,4581632,7265054,7265053,8635340,10976292,10976363,7265086,5844600,5844601,8954450,13138518,13146727,8960352,5848656,3649943,3649942,5848653,8960348,13146722,255218893,12852653,10976056,10976055,10976288,7265013,7265014,8743778,8743801,8648565,5625072,5625073,8648567,8735873,5692491,3541383,2108329,2108330,3541385,5692496,8743810,8735862,5687306,5687305,8735859,8648606,8648605,12727939,12727921,12727922,17960894,12727929,8648599,267850605,3494883,5625097,8648601,12727926,12727925,17949489,12727885,8648552,5625067,5625066,8648549,12727880,17960837,24353951,24339809,17949488,12719351,12719350,17949486,24339806,31861998,40563616,40563605,31861994,24339801,24339800,256298024,28335031,21123069,15174868,10465707,6898570,4330514,2590889,2590888,4330511,6898563,10465693,15174847,21123031,28334973,28335036,36831539,46714199,37166683,37166682,46714093,256298008,28334954,21123018,21123017,28334951,21123043,21123042,28334988,22017420,15915770,15915769,15174872,15174870,21123073,22058002,15953918,15953919,22058004,29388601,37953693,46714188,36831529,36831521,28649755,28649756,29275985,37842744,46714092,36831439,28649760,28649761,37166685,47058009,50346647,59130434,64773977,70802773,58085898,47872038,37953698,37953697,47872037,59267739,257237348,53233072,42781976,42781975,53233070,65221606,61830603,61830604,52668137,42280796,33299439,25537454,18925643,18925644,25537456,33299443,42280805,52668142,42280803,257206737,64568697,77751295,91678282,91678276,77751291,77751290,81261496,67793205,55451067,44602094,44602093,55451065,67793203,258158579,48516969,46744569,36863246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658166, s2 = 8298276, dlinesl.size( ) = 2 s1 = 11658166, s2 = 8298276, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658166, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8247296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6607858, s2 = 6176340, int(edited[s2]) = 0 s1 = 6607858, s2 = 6176340, d1 = 79, d2 = 42 Dl.O(d1) = 256487970 Dl.O(d2) = 243275238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6607858, s2 = 6176340, dlinesl.size( ) = 32 s1 = 2711649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14597127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14597127, s2 = 8103644, int(edited[s2]) = 0 s1 = 14597127, s2 = 8103644, d1 = 7, d2 = 7 Dl.O(d1) = 261446404,259668404,257798750,33312244 Dl.O(d2) = 261446404,259668404,257798750,33312244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14597127, s2 = 8103644, dlinesl.size( ) = 2 s1 = 14597127, s2 = 8103644, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14597127, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 8103645, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8566249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8566249, s2 = 8606356, int(edited[s2]) = 0 s1 = 8566249, s2 = 8606356, d1 = 20, d2 = 17 Dl.O(d1) = 255670815,33315570,42296115,52682722,64583239,77766325,259668843,120113535,120113545,105901498,91693972,77766332,64583243,52682726,42296116,33315571,33315570,42296115,52682722,64583239,77766325,259668843,120113535,120113545,105901498,91693972,91693974,105901495,120113537,123731153,123731154 Dl.O(d2) = 77766325,259668843,120113534,133955477,120113532,105901492,105901493,260284703,133955485,133955478,133955477,133955476,261562569,260408479,81227380,257919119,258022478,6557245,6557243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8566249, s2 = 8606356, dlinesl.size( ) = 26 s1 = 8430914, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3022439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3022545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3022545, s2 = 13257570, int(edited[s2]) = 0 s1 = 3022545, s2 = 13257570, d1 = 12, d2 = 14 Dl.O(d1) = 170878579,159550776,147191688,133968975,120126978,105915012,91707763 Dl.O(d2) = 255672251,18959411,25568603,18958423,13522175,9253747,9253746,6064184,6064185,5197362,3171008,3171011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3022545, s2 = 13257570, dlinesl.size( ) = 2 s1 = 3022545, s2 = 13257570, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3022545, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 9022550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9022550, s2 = 8049911, int(edited[s2]) = 0 s1 = 9022550, s2 = 8049911, d1 = 10, d2 = 13 Dl.O(d1) = 120132217,256509998,256510000,77784793,91712661 Dl.O(d2) = 33333259,25573657,18964786,17157023,13527723,9258519,9258520,254574861,5199923,8116599,12070110,17166314,21259605,21229653,18963317,15266141,15259353,10527850,10527851,8105584,8105587,9106476,6969462,4378457,4378454,5198729,3171698,3171699,5198732,4110539,4110538,6060837,3792129,3792128,6060830,9254204,8104263,6950200,6950201,7067378,5199629,3796010,2273763,2273765,3796018,6060909,6060907,9254306,10699391,7265667,4581955,2756667,2756666,4581948,6062736,4366396,4366398,6062666,6063987,6948729,10536662,11275352,12389951,10545137,6954534,6954537,10545147,13527949,13527948,254186134,18960274,25567438,23264854,17001136,17001135,23264852,23431789,17155380,12058845,12058844,255390475,255819839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9022550, s2 = 8049911, dlinesl.size( ) = 2 s1 = 9022550, s2 = 8049911, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9022550, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 9695276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3023479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2713956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3616962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3024493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3024493, s2 = 11532278, int(edited[s2]) = 0 s1 = 3024493, s2 = 11532278, d1 = 7, d2 = 38 Dl.O(d1) = 91784266 Dl.O(d2) = 223283639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3024493, s2 = 11532278, dlinesl.size( ) = 14 s1 = 10206203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7706403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7706403, s2 = 8442674, int(edited[s2]) = 0 s1 = 7706403, s2 = 8442674, d1 = 75, d2 = 73 Dl.O(d1) = 273239317,91789075 Dl.O(d2) = 126174629,112313808 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2716565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3026446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3026446, s2 = 11702894, int(edited[s2]) = 0 s1 = 3026446, s2 = 11702894, d1 = 1, d2 = 1 Dl.O(d1) = 91829953,77909245,64720971,64683050,52807069,42406774,42406773,52768762,42369733,33380707 Dl.O(d2) = 91829953,77909245,64720971,64683050,52807069,42406774,42406773,52768762,42369733,33380707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3026446, s2 = 11702894, dlinesl.size( ) = 2 s1 = 3026446, s2 = 11702894, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3026446, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 2940380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3026813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3026813, s2 = 11100909, int(edited[s2]) = 0 s1 = 3026813, s2 = 11100909, d1 = 7, d2 = 11 Dl.O(d1) = 91849125 Dl.O(d2) = 42417020,255279578,64734088,64734089,52818497,42417023,33426391,254660662,33426388,25658189,19039366,13590797,13590796,19039365,13590799,9305820,6095703,3813746,2284480,2284478,1341737,1341742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3026813, s2 = 11100909, dlinesl.size( ) = 16 s1 = 3026822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2718124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2718124, s2 = 5149354, int(edited[s2]) = 0 s1 = 2718124, s2 = 5149354, d1 = 1, d2 = 4 Dl.O(d1) = 77959925 Dl.O(d2) = 213995485,217653065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2718124, s2 = 5149354, dlinesl.size( ) = 2 s1 = 2718124, s2 = 5149354, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2718124, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 2828375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2828375, s2 = 14632074, int(edited[s2]) = 0 s1 = 2828375, s2 = 14632074, d1 = 11, d2 = 4 Dl.O(d1) = 84896784,71323191,58589925,58589926,71323192,84896785,257745998,112815040,120286811,106086493,106086492,106086519,91891410 Dl.O(d2) = 260889961,106086517,106086480,91891394,91891380,77966534,270531921,106086477,91891407,77966553,64771689,52851877,42447561,33454404,33454403,269067430,19059585,19059584,25682764,33454406,33772665,33772666,42804885,46869404,46869403,58237152,70954276,84517896,98439539,112428230,126291698,139662663,152383579,152383577,152383578,164255607,164255608,175059689,184650970,193028375,200216366,206286200,211304143,212403494,264216216,186673581,177352770,166800452,155105081,142460775,129085353,115155853,101080021,87083791,73466340,60718356,49316380,39388610,30786343,23361049,17092261,12005162,8060574,8060575,5376338,3305968,1944912,267799675,2548664,2548663,4263011,6798365,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,4292087,3719328,2227166,2227167,3719330,4266434,4266433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2828375, s2 = 14632074, dlinesl.size( ) = 12 s1 = 9398111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7626757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3028538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3028538, s2 = 9431260, int(edited[s2]) = 0 s1 = 3028538, s2 = 9431260, d1 = 6, d2 = 15 Dl.O(d1) = 91904020 Dl.O(d2) = 77979687,64785695,257018106,42462936,33469592,25696558,25696555,33469588,40183349,31498560,31498559,40183347,48433266,38525383,38525384,33079356,33079355,42023341,38460244,29903375,29903374,38460240,256120129,25348589,256635277,36943149,36943148,42313593,44597675,35216828,35216827,35216571,35216570,42023447,33079458,25348665,18767029,13363579,13363583,17657733,24002598,28341267,28341270,25348317,25348315,27124044,35216966,31500898,24002543,24002544,31500902,31498902,24001190,17656894,12486215,12486214,17656888,24001174,31498858,40183646,31498804,31498803,40183645,50206360,40184306,33077495,33077496,29642491,29642492,33078249,33078250,33077852,25347509,18766254,14437610,14437609,20130175,27021788,35107661,35107664,44484684,39724736,39724735,44596649,44484694,42021894,33077970,25347597,25347595,31500927,35216835,35216836,39862445,31179951,27124223,20220072,20220071,22631901,30001430,35217399,27124682,27124680,35217788,38369754,29797039,29797040,38369756,29977001,27123948,255614488,40184001,31499121,24001333,24001334,27021738,27021739,24001358,17657006,17657007,22653258,16461214,11469593,11469592,16461207,22653244,24001107,20219901,14509409,9984030,9984029,14509407,20219897,27123940,31501101,31501102,255737020,29778975,22414034,22414035,29778976,38351323,40183469,38545930,38545929,48458157,49744068,48225867,38316370,29747563,29747564,38316371,37012248,37012249,40185594,39724688,39724689,36989531,36989532,38237013,36989545,28492452,28492453,36989549,38435089,38435090,40184932,42024421,33080383,33080384,38459943,44597300,35216438,255751648,9983980,14509299,20219715,256045569,24252305,31764077,40458478,35217566,27124508,20220255,14509627,9984151,6562201,4111027,2459044,2459042,4111022,6562193,9984131,14509594,20220202,17657415,12486503,8457363,5464694,5464696,8457368,12486520,17657447,24002112,31500282,35214804,27122319,20218837,20218839,27122328,26009497,26009500,33194821,39724808,31046156,28492471,21275711,21275710,24001454,17657060,17657061,24001455,27123680,20219731,20219730,20220236,14509615,9984145,9984146,14509616,20220238,27124479,256580996,38240269,29675440,22324490,16179200,11245866,11245867,16179202,22324493,29675444,23829780,23829781,31319801,39997091,40183857,31499005,24001264,17656940,17656939,24001261,256534149,50206526,51958894,41651587,32741853,25448861,25448862,31498994,31498996,33194774,33194775,29866219,22505531,16331649,16331648,22505524,29866209,38428371,46823604,36945665,36945664,33194422,25448800,18851154,18851155,25448810,23562916,23562917,31046858,39725570,40387984,38311452,29742805,22383591,22383589,20042376,14357454,14357455,18851315,13431164,13431163,18851310,19290792,18851138,13431067,13431066,18851135,25448774,33194382,42153363,42153673,33194643,33194644,42153674,52511560,53247644,42795344,33763711,33763710,42795343,53247643,259487195,74045463,87648608,101615469,271851627,142861342,272407624,127956862,114076830,100050494,86088063,72490859,270298248,38472880,29914599,22556990,16379088,16379089,22556991,29914600,38472881,48374464,39342068,39342069,39342075,269775678,23718410,23718409,31205461,39884862,48857173,48857172,60249737,72984999,75550917,70892916,257424012,36932945,36932944,46811350,58178708,47639951,47639950,59041728,255247778,34007323,36445644,33269092,25508403,18897948,13466286,9208550,6028527,6028526,9208547,13466283,18897947,23568436,17256963,12136910,8166913,5236679,3196644,3196643,254578727,12136907,17256959,254546122,37303545,28770319,21509353,15500278,15500276,21509351,28770316,34259085,43359035,53883436,65950513,79314769,93445980,107874328,268959202,85470409,71885827,258101163,47749326,37827099,29261679,21940343,255064201,7272381,4586233,254231979,909356,909359,618578,618577,1102165,1929037,3279563,5335255,8264261,8264248,8264246,7782867,7782865,8269353,8269352,12239340,12239338,11674011,11674012,16715818,12243844,12243845,12228574,8311511,8311513,12305386,8316626,8270192,7900369,7900370,8267673,5334544,3279132,3279136,5334047,5334048,5331935,5331934,3297982,1939667,1107956,1107958,1939675,3298004,4586109,2759116,1599474,909345,909346,1599484,2759135,4586138,7272232,8268602,8263803,5331633,5331630,7782916,4933258,2976239,2976238,4933254,7782877,4933373,3290290,3290294,3279794,1929189,1929188,3279788,5335551,8269015,8256610,7968807,7968809,8265539,5332938,3278047,1928111,1101631,618297,343628,343625,618283,1101586,1928029,3277896,4945757,5331940,5331939,8255812,5325942,5325940,7066149,4448965,4448964,7066144,8266104,8255780,8255779,8263819,7457153,6100119,3816747,2286536,2286535,3276601,3276600,5330629,8262400,5333237,3278244,3278243,5333233,254511158,12240006,10436793,10436794,12593599,8544787,5542835,3428356,2026496,2026492,3428348,5542825,8544765,12294791,12240932,12240930,12241967,8267388,5575553,5575551,8263573,12237867,17370188,268403255,22311346,16165163,11232481,7454610,7454609,11233446,16166114,17127075,12036325,8091739,5184116,5184117,8091742,12036326,17127077,17803695,12603193,12603194,17771213,12576320,12576319,17732326,16170095,16170094,11237938,7458766,4713134,3762981,2838909,2838906,2838882,1646823,1646827,2838897,2837680,1646147,936051,527508,527510,935978,1645543,935949,935950,1645988,2836629,2836764,4709028,7453103,5534010,5534009,7452364,11230889,9188980,6014662,6014664,7455137,11233978,12533026,16163982,16163979,22310725,24171386,17803969,255198195,8559248,5556219,3440628,3440629,5556221,8559254,12580386,12571898,12523258,12523263,8564119,8564117,11230968,7452433,5509135,3763476,3763477,4711819,4711803,2838515,2255734,2255733,3764856,5537592,8499593,7417686,7417689,9233505,7455328,4710617,4710616,7455322,11234170,8525968,5524590,5524592,8525974,5548055,3433703,3433702,5548051,8549439,6014969,6014971,8538823,5536850,5536851,8538827,5595014,5595015,8609306,12238547,8264174,8264173,8526205,8526207,5524823,5524825,8526221,12242579,8267902,5334722,5334723,8267903,254615142,255199055,9190241,6015938,5497273,5497274,5576300,3459522,3459521,254615125,4710662,4710661,7455382,6015212,3762520,2254099,1308225,746849,424421,239593,239596,424429,746864,1308258,1160916,1160920,1308777,747162,747160,1308768,747206,424589,239678,132493,132494,239682,424599,747222,1308892,2027320,3429283,3762666,2837764,1646201,1646202,2837771,2252909,1307475,1307472,2252901,3376132,1987091,1987087,3376120,5485303,8484648,5516287,3403247,3403246,267860989,8485022,7455398,5554657,3457161,3457160,3761072,2253316,1307729,746566,746565,1307726,2253312,3761492,3433191,2030512,1162846,652550,254090459,198072,361863,652555,1162856,2030529,1307545,746471,746470,1307543,1033173,582259,582258,1033171,1808935,3095950,2027340,1160624,1160625,2027349,1165549,1165491,654085 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8273349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8273349, s2 = 8367844, int(edited[s2]) = 0 s1 = 8273349, s2 = 8367844, d1 = 0, d2 = 0 Dl.O(d1) = 42362823,42362824,42509732,33510284,33510283,269092021,64844488,78041374,259683277,106166138,260893927,106166139,91968198,78041373,64844487,64844488,78041375,91968201,106166142,120368355,134201121,272710473,262950045 Dl.O(d2) = 42362823,42362824,42509732,33510284,33510283,269092021,64844488,78041374,259683277,106166138,260893927,106166139,91968198,78041373,64844487,64844488,78041375,91968201,106166142,120368355,134201121,272710473,262950045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8273349, s2 = 8367844, dlinesl.size( ) = 2 s1 = 8273349, s2 = 8367844, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8273349, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13394125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7812320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2722360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2722360, s2 = 3562893, int(edited[s2]) = 0 s1 = 2722360, s2 = 3562893, d1 = 3, d2 = 43 Dl.O(d1) = 78263370 Dl.O(d2) = 217579376,217579377,220638676,217579380,213913679,209449235,209449234,204008044,204008045,197485326,189824697,189824696,197485324,197485327,189824699,180940059,170813596,159476548,147103255,133860330,119994858,105761489,259015890,52566543,42206026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2722360, s2 = 3562893, dlinesl.size( ) = 2 s1 = 2722360, s2 = 3562893, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2722360, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 1680887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9227276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10228664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10228664, s2 = 948478, int(edited[s2]) = 0 s1 = 10228664, s2 = 948478, d1 = 25, d2 = 22 Dl.O(d1) = 206318063,211331096,265170663,224128017,264703090,218955230,263058506,211503823,215583578,218955229,217728979,214086918,209651229,209651228,204244849,197764059,190157832,262696184,171318151,160090580,160090581,262216316,171318154,160090583,147835508,134708941,134708942,120910373,106657525,92352959,78319418,65039604,53056918 Dl.O(d2) = 260673154,135234275,148400094,262516341,143372333,261248044,88086435,74474188,61691587,61691586,50209797,40187841,31502701,24004112,17659006,12487591,8458033,5465065,3360608,1975756,1127879,254187483,3360609,5465067,8458040,12487603,17659022,24004122,31502579,24004004,24004005,24004014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10228664, s2 = 948478, dlinesl.size( ) = 2 s1 = 10228664, s2 = 948478, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10228664, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 9167652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9167652, s2 = 6725991, int(edited[s2]) = 0 s1 = 9167652, s2 = 6725991, d1 = 3, d2 = 0 Dl.O(d1) = 128718269,120914285,106661173,92356539,78322843,65042891,65042892 Dl.O(d2) = 257761896,256618386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9167652, s2 = 6725991, dlinesl.size( ) = 2 s1 = 9167652, s2 = 6725991, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9167652, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2962779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9176170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2723846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2691076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8161165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6732403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6732403, s2 = 10361068, int(edited[s2]) = 0 s1 = 6732403, s2 = 10361068, d1 = 21, d2 = 11 Dl.O(d1) = 257821837 Dl.O(d2) = 234394461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3382022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3382022, s2 = 13246968, int(edited[s2]) = 0 s1 = 3382022, s2 = 13246968, d1 = 14, d2 = 17 Dl.O(d1) = 112210919,106737203,92431258 Dl.O(d2) = 258665090,255235409,8913279,8913280,7213601,4545031,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866289,31706412,31706413,28366177,28366178,36864344,268444282,44575179,46746155,58115485,46746202,36865618,30647233,30647234,33021143,33021142,36865282,36865281,29478416,22141203,16023728,11125654,11125653,16023725,22141199,29478411,38041501,37908135,29339277,29339278,30677366,25256069,18685199,18685198,21152311,21152312,21151470,21151469,21809892,21809890,25256004,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,21150842,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,23676523,31164810,31164799,28369282,21152430,15197607,10482313,6911055,4340445,4340446,6911057,10482317,15197614,17427296,23753253,31236413,36865405,44531306,36867333,28370342,28370339,31164312,31164313,30644823,30644822,37976589,37976587,30643788,23220951,255552189,12226628,12226629,16945869,16945870,22322640,23218291,16945750,11860699,7926843,5039146,5039145,7926822,7926821,11860309,11860307,8318721,8318722,8318729,8318730,5368005,5368004,8318738,7926494,7926497,7926595,7926452,7926456,11859970,16945609,20935493,20935492,28112255,36584732,39238991,30640799,23217387,16945008,16945007,11859606,11859607,16945013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3382022, s2 = 13246968, dlinesl.size( ) = 20 s1 = 13293489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13293489, s2 = 8155946, int(edited[s2]) = 0 s1 = 13293489, s2 = 8155946, d1 = 97, d2 = 89 Dl.O(d1) = 33158966,25417960,18826322,18826323,25417964,33158970,36895882,28398380,28398381,36895883,46774025,53222466,42771663,33741003,33741004,28388924,21170169,21170168,16844669,11780046,7865258,7865256,11780040,16844662,23101238,19273329,13776571,13776570,19273325,25935852,33742920,31425699,31425698,33741230,31330433,31330434,33741247,42709228,33679176,25873021,19214402,19214404,13775470,13775469,19271962,19273100,19273101,25935629,33742716,32531809,29579210,22231475,22231473,29579202,24888300,24888299,32533008,25935952,25935953,33743029,33741914,25934698,19272217,13775672,9444286,9444287,6919337,6919334,10493159,15211897,21170093,28388827,21170142,15211929,15211931,19273503,13776692,9444946,6191626,6191625,9444940,13776669,19273452,25936015,22275379,22275378,25935891,29612087,22261557,16121556,11198937,11198936,15207942,15207944,21164507,17498993,12338653,8335652,8335653,12338657,17499004,16844644,11780032,11780030,16844640,23101201,29579231,22276346,16133514,16133513,22276342,29628180,38179680,38179678,46764169,36885899,36885900,46764170,256675568,257825100,258442163,92460538,260314765 Dl.O(d2) = 181422565,181422566,273420378,258382127,258382128,51303742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13293489, s2 = 8155946, dlinesl.size( ) = 60 s1 = 6732751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2727320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6780671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10193491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6935449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2395339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13340553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3037121, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13452295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6733044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6733044, s2 = 2729017, int(edited[s2]) = 0 s1 = 6733044, s2 = 2729017, d1 = 17, d2 = 18 Dl.O(d1) = 257827845,78470748,92510426,259595048,103509613,89415953,89415952,103509608 Dl.O(d2) = 103509613,89415953,89415952,103509608,103509610,117639453,106822085,92510427,78470749,78470747,92510425,259595046,259595044,106822082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6733044, s2 = 2729017, dlinesl.size( ) = 2 s1 = 6733044, s2 = 2729017, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6733044, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 9618479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9618479, s2 = 14862791, int(edited[s2]) = 0 s1 = 9618479, s2 = 14862791, d1 = 5, d2 = 12 Dl.O(d1) = 265467403,220496987,217411411,213712343,213712342,209204858,264618237,217411432,265467407,223121915,225390011,227361390,229085615,230607736,231963552,233184689,234289066,235294067,236209901,266626319,238500927,239136128,239072370,274669528,266131566,265880640,233039895,231799184 Dl.O(d2) = 257001590,111654458,111654459,111654462,97733491,97733490,97733501,83874562,70349535,57659442,57659441,70349533,70349532,258234342,111654474,258856896,83874550,70349516,57659421,46315131,36462223,28003342,28003343,36462225,46315134,269760735,57659432,57659431,70349527,58777187,47390014,37482374,28940357,21661458,21661459,28940359,37482378,47390007,57659419,57659420,47532284,37625754,29074830,21776842,21776841,29074826,257476295,258709755,99121319,113111620,126970389,126970403,140325622,140325623,126970405,113111632,99121331,99121332,113111633,126970407,140325627,147752050,140325626,140325625,153024461,260561012,160015250,160015249,147752036,134621520,120824602,106576411,92278206,78250993,78250992,92278205,78251004,78251003,73289169,73289170,86899776,100879963,114931607,127185672,113326539,113326540,127185674,134621543,134621542,147752056,143723172,130397167,130397166,143723171,156250002,158709634,158709635,160015266,153214018,143723175,130397169,116557081,102457794,88453962,74820559,62023737,50531789,50531788,62023734,74820555,88453954,100784729,100784714,86803965,73191959,73191958,73191966,86803974,86803984,100784741,114836746,100784715,86803966,73191960,60445490,49041700,49041701,60445491,73191963,86803969,86803970,100784718,114836750,128736544,141090898,127737274,127737275,122301469,107885373,257570254,79325342,70303674,57613153,57613154,70303676,83828703,97686231,107885386,93456310,93456309,107885383,270342892,97686239,83828710,70303680,57613156,46268648,36415955,36415954,46268646,57613151,70303671,83828695,86701772,86701773,100674944,113324604,113324605,127183900,115857567,101811561,87837931,74233322,61454301,61454300,74233321,87837928,101811560,101811555,101811556,115857566,101811558,87837919,74233314,61454294,49976339,49976338,61454292,74233312,87837918,87837925,74233319,74233318,87837922,101811559,87837946,87837945,101811571,102336053,88339539,74711634,74711633,88339538,88339542,88339541,102336055,102336064,88339576,74711678,61918358,61918356,74711676,88339559,74711657,61918344,61918335,59333409,59333410,72067822,85655214,72067823,72067824,85655218,74711653,61918339,61918338,71873225,71873224,85457815,99398620,85457821,85457822,84301822,84301821,70750142,70750143,84301824,98198107,84630403,71067053,58350724,58350723,254371484,58035883,70750145,84301826,87181972,101178829,101178825,87181970,87181971,101178827,98494537,84571500,84571501,98494538,112486303,126353909,112486302,98494535,84571499,71007465,58292319,49417918,49417919,39488295,30882314,23450951,17174333,17174334,23450953,254555552,49417936,60817842,73564217,257001452,101178838,115255043,258189444,77908972,64720678,64720680,52806801,42406557,33416395,33416394,42406554,49169941,58350662,58350663,59499821,48111696,38200438,29633597,29633598,38200441,48111697,48111699,38896291,30310334,22910708,17530608,12364230,12364131,12364134,12364180,12364178,8948086,5840626,3644846,3644848,5838592,5838591,5841348,3645223,3645222,5841354,8949252,9301016,6092718,3812015,2283480,1324479,1324478,2283478,3812011,6092733,9301036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9618479, s2 = 14862791, dlinesl.size( ) = 2 s1 = 9618479, s2 = 14862791, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9618479, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 634546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 634546, s2 = 197059, int(edited[s2]) = 0 s1 = 634546, s2 = 197059, d1 = 34, d2 = 39 Dl.O(d1) = 16236569,11288192,7494744,4737732,2855429,1657199,942954,531848,531849,943002,1657314,2855643,4738161,7495502,11289500,16238600,22399861,269771237,78476205 Dl.O(d2) = 260587147,140903154,153576616,261163987,113678122,127548757,140903152,262227897,127548754,261712289,261163991,259368993,258120665,38105555,29542275,256388803,22198994,255078835,4675507,254235741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 634546, s2 = 197059, dlinesl.size( ) = 18 s1 = 2729328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2729328, s2 = 7022544, int(edited[s2]) = 0 s1 = 2729328, s2 = 7022544, d1 = 0, d2 = 47 Dl.O(d1) = 78476835 Dl.O(d2) = 261477523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9205433, s2 = 8381437, int(edited[s2]) = 0 s1 = 9205433, s2 = 8381437, d1 = 23, d2 = 19 Dl.O(d1) = 121099268,121099253,106839717,92528170,92528171,106839719,260319065,92528173 Dl.O(d2) = 106839741,106839742,121099271,106839731,92528181,78488161,65203421,257236581,42767621,258445855,78488170,78488169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205433, s2 = 8381437, dlinesl.size( ) = 18 s1 = 8052647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3039313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3580607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213275, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8162419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7607134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2732169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8106893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8106893, s2 = 3675717, int(edited[s2]) = 0 s1 = 8106893, s2 = 3675717, d1 = 97, d2 = 128 Dl.O(d1) = 33809858,42850628,257833549 Dl.O(d2) = 265714332,273861092,185411653,175923827,262217024,127376598,140732707,261151640,127376596 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7900047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7900047, s2 = 11129638, int(edited[s2]) = 0 s1 = 7900047, s2 = 11129638, d1 = 29, d2 = 36 Dl.O(d1) = 574888,324675,179326,98629,98628,179325,324671,580563,1030258,1778261,1778262,1789612,1020497,575018,321838,321839,575019,1020501,1029005,1029004,1022243,1022242,1789579,1020480,575009,575008,1020477,1789574,3069467,3076096,3063931,1786092,254129489,573996,1018503,1023862,1028568,1024553,577333,577332,1024550,1795696,3057593,1782172,1782173,3056882,1803081,1029374,580020,580021,1029375,1803084,3087648,5088565,5068084,3071886,1802802,1802800,3087333,1805851,1805850,3091326,5044768,3066811,1787694,1787693,3066614,3066613,5061628,7957851,7976295,7976294,11922140,16960401,16960400,17014429,11948115,11893850,7981195,5079579,5079578,7439293,4700689,4700687,5057801,5057800,7952277,11892900,15134616,10438368,10438367,15134614,11880608,7942383,5051077,5051078,7942387,11868396,7932542,5062424,5062425,7958744,11900444,11925736,17011498,21693818,15653255,15653254,16968644,11880643,11880642,16397950,11879058,7941276,5050433,3059938,3059939,5050438,5043190,5043188,7931650,5042451,3053093,3053092,5042466,4700409,4700405,7438766,11211223,254256788,22284268,254571368,17527914,12361680,12361683,17527925,17010362,17010364,16967133,16967134,22208406,16077719,16077720,16976525,16976526,16964692,11876587,11876586,16964686,17014374,11936793,11936795,12363286,254824500 Dl.O(d2) = 262673472,152894566,261418840 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14630645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14630645, s2 = 2836524, int(edited[s2]) = 0 s1 = 14630645, s2 = 2836524, d1 = 17, d2 = 26 Dl.O(d1) = 258380458,53362317,53362318,65366256,78671034,92734015,107073437,121370025,107073439,92734016 Dl.O(d2) = 259324635,85049944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14630645, s2 = 2836524, dlinesl.size( ) = 2 s1 = 14630645, s2 = 2836524, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14630645, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 8329831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342720, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342720, s2 = 15937047, int(edited[s2]) = 0 s1 = 10342720, s2 = 15937047, d1 = 72, d2 = 59 Dl.O(d1) = 65136415,53151238,42700700,33669784,25863224,19205644,13717417,9395953,9395952,9395877,6155697,267813267,1338978,764776,764775,1338976,2307646,3851644,6155686,9395855,13717264,19205418,268223430,13717305,19205474,25862941,31288602,26143720,19446509,13915858,9551086,6266968,3923822,2349057,2349056,254458911,9551074,13915841,15378128,10626735,7013987,7013986,10626734,15378127,21355029,21374988,21374987,28609989,37120254,47006445,58376740,53151177,42700653,42700652,43041077,33983543,33983542,43041075,47044929,37154222,28638630,21398259,15412230,10653389,7034609,7034610,10653390,15412231,21398260,256862825,58419788,71141398,84711043,75450371,65543590,53519477,53519476,59216162,47817604,37895593,29327193,21997203,15898257,15898256,21997202,256374077,47817599,47817598,43944243,34670015,28966939,28966940,33464380,33464381,42457503,52861473,64781002,59070639,47671080,37749226,29188131,29188130,37749224,43944238,37749229,29188133,255432985,10948496,10948495,15801146,257990607,46212206,36381801,27937467,255355801,6730226,4216736,2521089,2521091,4216743,4981695,3009360,1748077,1748079,1748405,994186,994187,1748428,3010035,4982829,7849825,11756815,16809280,23055723,16809181,16809182,23055724,30463979,23284691,17025475,11940394,11940391,17025468,23284678,18500857,13144180,13144178,18500848,25034011,24042409,20859396,14957899,14957896,20859386,15223239,15223238,21185051,18500306,17063172,11971518,11971521,17063180,18647154,18647155,21185617,15223688,15223687,15227077,11920212,7974599,5074703,5074700,7974589,254537158,4471790,2686668,1556298,884795,884798,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556471,11374294,11376623,7558147,7558148,11376628,11381478,11382251,7562124,4781683,254180596,951219,536392,536390,951214,1672009,2881441,4781664,7562097,11382211,11369344,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051337,7559496,7559492,11378513,16351534,17337219,12211301,8242048,5313756,5313754,8242042,12211287,16235357,16235358,18725459,16200478,16200479,11363446,11363447,16332741,17300267,22491382,16318106,11352950,7543322,254233580,1669487,1669490,2876140,4771257,7543387,11352938,11352937,16318085,21297180,21297182,23008580,23008581,23008641,16769368,16769369,23008647,29354038,37921412,29840400,22472886,16303244,11343675,7538360,7538361,11343676,16303247,16334802,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556139,11373832,14433567,14433569,14484819,17321377,17321378,14435432,14435433,16777398,20125657,23576415,20125576,14433763,9928655,6525221,6525220,9928650,14433752,20125562,17342855,12216397,8246599,8246600,12216402,15922188,11045272,7320298,7320299,11045276,15922194,16328051,16328050,16344364,16337460,16337461,16331314,16331313,12158212,12158211,14485308,14464939,9951832,9951831,14464934,10751913,8188720,5258271,5258275,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,2880422,2880425,4779719,7558818,6436772,6436771,8238974,7560758,7560757,11380319,11369362,11369363,16340137,16340138,16341547,22515061,29341816,22009859,15908273,11029507,7303921,7303924,11029516,15908284,16326919,22501163,22931847,22514204,16340568,11369503,11369501,16340565,22514199,22931835,22931836,23049697,16804103,11750435,11750077,7845252,4980064,4980059,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,3902020,6232396,9501981,13851123,257838131 Dl.O(d2) = 162647493,150528418,137498459,123774329,109584138,95328997,258542481,55460572,44612045,35230865,27136305,20229710,14516489,9988755,9988756,14516491,20229714,27136312,35230870,44612051,39518257,39518255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342720, s2 = 15937047, dlinesl.size( ) = 58 s1 = 14163710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1764884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2736654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8522510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3045262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3045262, s2 = 6440636, int(edited[s2]) = 0 s1 = 3045262, s2 = 6440636, d1 = 66, d2 = 93 Dl.O(d1) = 92957620 Dl.O(d2) = 254448390 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6474019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3045983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13331513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13331513, s2 = 7297761, int(edited[s2]) = 0 s1 = 13331513, s2 = 7297761, d1 = 15, d2 = 21 Dl.O(d1) = 39926073,39904741,39904742,46988886,37104294,28596439,26980298,20091660,20091659,26980296,35063683,257844545 Dl.O(d2) = 265127081,265502097,266187891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13331513, s2 = 7297761, dlinesl.size( ) = 2 s1 = 13331513, s2 = 7297761, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13331513, Dl.E( ) = 24, 5.96e-06 seconds used appending s1 = 8276253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8276253, s2 = 11659597, int(edited[s2]) = 0 s1 = 8276253, s2 = 11659597, d1 = 29, d2 = 5 Dl.O(d1) = 15844483,12731058,12731057,17965138,17927278,12702268,8629892,8629895,9393915,12702256,10631828,10631831,12816138,12816140,13714414,11000082,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672279,8713833,12816158,13918320,255706023,256118570,53526943,65551765,78886714,78886723,78886722 Dl.O(d2) = 53526945,65551768,78886720,260340635,261438790,87833994,259658480,31280653,23794727,268144706,3298365,3298366,5365390,7663015,4848364,2921533,2921534,4848366,7663019,11519753,16528868,22735072,29291763,21964717,15870666,10999826,7281455,4592030,2762759,254163539,910659,1601572,267828077,7281469,10999849,11472763,11472764,12333259,12333257,16628208,11598791,254547515,4887184,4259767,2546585,2546584,4259764,6793905,6786325,6786324,10316218,9091303,9091302,9072534,9072533,6800880,4264868,2549821,2549822,4264870,4488408,2696482,2696481,4488405,254620339,2077348,1193819,671742,373496,204709,204710,254140939,671743,254285609,5626653,8650597,12730677,17964753,24359436,31886660,40594564,50643093,62150138,62150139,256937462,33097754,25364174,25364173,33097752,35177891,27089781,20191557,14487591,9968207,6551312,6551311,9968204,255335151,27089763,35177870,32418140,24792221,18309117,18309118,18089567,18089568,255812474,21472225,28729784,28493474,21276538,15314695,10577340,10577339,13164960,16450966,16450965,16451111,22640424,24520921,32096007,40867738,51002607,62625419,75564222,89322073,103415209,117544876,264008147,263664799,263596790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8276253, s2 = 11659597, dlinesl.size( ) = 22 s1 = 6888902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16311010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16311010, s2 = 6753758, int(edited[s2]) = 0 s1 = 16311010, s2 = 6753758, d1 = 17, d2 = 8 Dl.O(d1) = 55355874,57999328,70715513,84266517,98160109,259372644,86899991,93511297,104415252,104415253,93511296,79374456,79374457,256671448,64812098,64812097,268759414,106120253,269958168,74521536,71380081,58644234,58644235,59340277,47948803,256477098,44351791,44351792,37417927,37417926,47326493,256603358,40371970,40371969,50406922,61897394,72074404,85019261,77142941,77142942,71446624,58715490,258071815,71446633,60648384,256603370,49136808,60536849,73281069,77142928,77142947,77142929,64012134,52178779,41854347,32924697,25209673,18645251,13257687,9045823,9045822,9045824,13257688,18645253,25209676,32924701,41854353,52178787,60648387,73394936,63389051,63389052,76432716,256603368,64012146,64012145,60648390,49247871,268283786,52178785,60648389,256603360,257743886,101004144,87010524,257743890,71601138,58881148,47501816,37597903,29049984,21756014,21756015,29049987,37597909,257474729,58881162,258084659,65326038,53328091,47238987,37598297,33604019,25806437,19159200,13680988,9368789,9368788,13680987,19159199,25806436,29521521,38085964,37329228,28792173,21527471,15514837,15514836,21527468,23399734,17127682,17127683,23399736,25857520,25857519,255463996,43871088,38069666,38069664,47981934,49361247,47981931,38069656,29506117,29506118,36712276,46600463,51189045,49361320,46600464,46600465,39431693,30827462,23399718,23399717,30827456,39431684,36711701,28219649,21024517,21024516,21024170,268257748,28219036,21023932,21023934,28219040,21024316,15100224,10414310,10414311,15100228,10414364,6864852,4308323,2576139,2576138,4308320,6864847,10414294,15100196,15100172,15100170,21023993,21023984,15099985,15099987,254597802,21024336,15100317,15100315,21024435,21024438,21024436,28219316,28219317,28219052,21023940,21023941,28219053,36711711,36712434,46600575,57977354,70695280,70695281,70695242,60598993,256613768,48535562,256099826,39272138,30675754,23259670,16996735,16996737,23259672,22224490,18323763,18323764,24813060,26896011,34975339,44352970,34975399,26896097,26896096,34975326,34975415,34975307,29569695,29569696,34975335,29575025,22227792,16094065,11178437,255457647,22223141,18753796,13353190,13353189,14334103,14334104,20014332,16090196,11175214,11175215,16090197,18188346,12900074,8774789,8774788,12900072,18188344,24644711,24646340,29169265,29169264,37729535,33116104,25380907,25380908,26896005,20014322,20014320,22226150,29573028,37729588,29169299,29169300,37446482,29169219,29169218,37729496,29169221,29169220,35112382,33116090,33116089,33116095,33116094,42064961,47287572,37377977,28837693,28837694,37377979,47287574,58678724,47287586,47287587,47287590,47287591,47287588,37377990,28837702,21566090,15543904,15543902,21566086,28837697,28837704,37377994,47287595,50424964,46641300,36755382,36755383,28428519,28428518,24190622,17821651,17821650,24190620,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,21470774,21470775,23252138,22009791,22009788,23009704,23010340,30414542,25673471,19052162,19052166,25673488,29310201,28261059,28261060,33444332,37837321,37837322,33444408,255804592,19052423,25673862,31698153,40390937,50424992,42437260,36831712,36831713,31073303,31073301,39750884,49769353,52001659,41689840,32773184,32773185,267956030,50332525,41608119,32704742,28000168,20835743,14936973,14494339,14494340,20200094,25192572,25192573,32903471,254625972,46447140,44523385,44523384,44364070,34986300,34986299,29632723,22280680,16137057,16137058,22280685,22280696,16137067,11209852,7437908,4699837,4699836,7437905,11209845,13463384,13188291,8990394,8990395,13188294,18559501,25108738,32811258,29632732,22280687,22280688,23373930,23373932,30801274,39405897,49293915,255760380,26636079,22280707,16137073,11209858,11209859,255461393,29632756,38199505,48110741,38199495,29632747,22280702,16137070,11209860,7437917,4699845,4699844,7437915,255084127,22280698,29632742,30497249,23083861,255130805,4987353,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,9957814,6544717,4100290,4100289,6544715,9957857,14472709,20171707,27065948,35151635,44527966,55374202,271362738,81179257,95234879,109488212,123679517,137410115,150449109,162577086,261796836,155730267,143176281,129845033,115945266,101899200,87925253,74322223,61546093,50068066,50063525,40044111,31363891,31363890,40044109,50063523,257048104,50063522,61541659,62164165,50655331,40605283,31896162,24367804,255209251,8654734,5629520,5629519,8654733,12736190,12736229,12972738,8830268,5753895,5753896,8830270,7050549,7050548,10674506,15370532,10620679,7009221,7009220,10620676,15370528,11712018,8698961,8698960,12795032,12794996,8698937,8698936,12794994,18048921,24367841,25049825,25049826,24367835,17971805,17971806,24367837,31896193,32031174,40788046,40952530,32172969,24586916,24586917,32031179,29062011,21766232,15709435,10874964,8793744,8793745,12926793,15709460,10874981,7190100,4529794,4529793,7190097,10874976,15709452,15894320,21991941,21766217,21766218,21365188,15385945,10874919,10874918,13153722,11981781,11981782,17070721,23337032,30759769,255614410,12005992,8061893,5154494,3138305,3138304,5154490,8061883,12005982,15709410,19186352,25839954,33643223,37611145,29062007,21766228,21766227,15709466,10874986,7190103,4529797,2722973,1577958,897209,897208,1577956,2722970,4529788,4529776,4529777,7190066,10874923,15709366,21766128,29061893,37611148,32306831,24693969,18225138,18225140,24693971,25839963,25839962,33643233,268247112,28841724,28841725,37381585,254358182,21318364,21318363,28541852,37040737,37952124,40201960,255414588,24014623,25843314,28960654,256345801,34133208,255711963,13996438,9615390,6315789,6315790,9615392,12224038,12224039,17352445,23671612,31160039,39842873,42676050,48354341,38452424,29895264,22539805,22539806,29895266,37061738,32334326,255744954,256563169,50655328,62164164,74975594,88617306,93002886,78893039,65558054,53533231,43053325,33994406,33994407,39227732,30629911,23207052,16936197,16936198,23207054,30629916,39227738,47265528,47265526,258068645,84967133,98892890,260539353,126732931,140081112,152771889,164606204,175365562,184913296,273704935,206455945,263878676,273342204,203998966,197475578,189813615,180927613,170799936,159461808,147087496,133843652,119977340,105742704,91519197,77588301,64419602,52545475,42186737,33226514,25478148,18876340,254162712,9198960,13451438,18876348,25478155,33226525,37721843,29162009,29162008,37721841,42186753,254162684,29163265,29163266,37431284,29163605,29163604,37723533,47645543,52545470,52545315,42186554,42186553,47642782,37721816,29161989,21853494,15782382,10933386,254513804,21853499,255058518,47643197,37722114,37721550,29161770,29161769,37720937,37720938,37720871,29161063,29161064,29164605,29163637,29161059,21852640,21852641,18296706,18296711,24776653,32400117,40961168,32182110,32182109,32181833,32181832,29295431,21968763,15875161,11003981,7284399,5103261,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002610,11001557,7282706,7282705,11001550,13351856,13351855,11002450,7283300,4593089,4593088,4592467,4592469,5971142,3734132,2235699,2235698,3734126,5971125,7283909,5977368,3738001,3738002,3850479,2306956,2306957,3850480,254159110,2763327,1601862,1601863,2763329,4593121,254757427,14422133,9920589,254471477,2444194,1413245,1413244,2444192,4085321,5969276,6995595,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,254214853,1413281,1413282,2444047,4085044,4084091,4084090,5971691,5971690,5970996,3734055,254203495,1296502,2235653,254442073,7758893,6519023,5971605,254367635,254550503,8987705,13184760,18555466,18555469,254633038,255232084,256087724,24359796,17965109,12731021,12731022,12796998,9936284,6530629,4091980,4091979,6530626,254977415,14443245,15346937,20137269,14443322,9935841,6530287,6530286,9935837,255065984,9917580,6517797,4083866,4083864,3825128,2291720,1329711,759249,431726,431725,759244,1329703,2291711,3825110,6113478,9333299,13630415,19091933,25722833,33500786,42499572,52909137,64834007,53168222,53168221,65152553,73219890,73219889,86416068,72821100,72821099,74043806,74043704,61263675,49784529,39764979,31086654,31086655,39764981,35074534,35074535,38184560,48096235,59485275,72221884,85815135,87647031,74043684,74043682,61263662,49784511,39764964,31086645,23602487,17289827,17289826,255159965,8200787,8200788,12168871,17289823,19588177,19588178,256183759,28781933,37317870,47226923,48687923,38766201,30182708,30182707,256981303,52058803,41744278,32823262,25119099,18567924,18567923,256105883,41744268,39764959,39764960,49784507,59485287,256937511,37317866,28781929,21518655,15507566,10724828,10724829,15507570,21518660,255997621,39764948,47226946,47226945,58620365,48096252,38766197,38766196,48687920,60083851,72221888,59485282,59092901 Dl.O(d2) = 53168223,65152556,78434420,89754845,75975971,62993356,62993357,75975972,89754844,258082362,77012188,63900878,52081982,41768217,32847550,25141425,18586462,18583336,13208899,13208787,9004145,9004143,13208800,18587321,25142376,25663028,268497817,18043882,12790937,12790936,18043871,24463028,32024736,40780896,41185187,32368722,24751387,24751390,32368727,41185201,51371841,59595887,59595888,269363952,99880185,259438706,125642259,259967070,258100126,70490343,57789627,46434478,46434479,57789628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16311010, s2 = 6753758, dlinesl.size( ) = 2 s1 = 16311010, s2 = 6753758, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 16311010, Dl.E( ) = 18, 1.69e-05 seconds used appending s1 = 2175537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3047594, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3047634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6664635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6734930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8428274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8428274, s2 = 3331583, int(edited[s2]) = 0 s1 = 8428274, s2 = 3331583, d1 = 0, d2 = 6 Dl.O(d1) = 267746476,40334786,38087764,31645817,24139014,24139013,31645815,31645813,24139012,20347424,14604534,10049370,6603611,4136747,2474427,2474428,4136751,6603623,10049386,14604553,20347461,20347375,20347374,22375103,16219376,16219377,22375105,28686016,27282781,20347405,20347406,27282783,31666771,24157417,17790336,12591853,12574601,12574600,17768993,17775024,17790294,12591822,8543202,8543201,11103919,11103918,14125385,9717974,6393026,6393027,9717977,14125388,14334771,14334770,20015104,254277022,31589590,40275103,50295946,61775531,67547949,81017498,88268654,88268655,100537532,86576444,86576443,100537531,114567985 Dl.O(d2) = 143527821,143527826,130198652,130198653,143488823,143488822,130158133,116246978,102184708,102184709,116246957,116246956,116392386,116392385,130158082,143488775,143488814,143488813,156026765,167635528,167635522,167635523,178098135,187335199,191395519,272907794,161681089,149388046,149388047,161681091,172840696,182741583,182741599,182741586,172840697,172840698,182741581,182741582,191395521,191395532,182741594,172840702,172840701,182741592,191395530,182741601,172840707,161681099,149388052,136134783,122167506,107757244,107757245,272056217,149388054,161681095,149388056,149388055,159524507,272877398,272678216,161681105,149388060,149388061,161681106,170853371,170853372,161681111,161681110,164545804,259614162,139525457,139525458,136134794,136134793,122206759,107801693,260355265,136134773,122167493,107757233,259103931,65836369,53776249,43260370,43260371,53776250,65836371,79198394,79252481,65889063,53821332,53821331,270068955,53821334,43296474,43296475,53821335,53776246,43260368,34170145,34170146,43260369,53776247,65836367,53912808,257864213,258476599,53821337,256704501,26413522,19677918,14106866,9703496,6382406,4004486,2399712,1388569,789639,447236,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247331,438349,441930,778997,1367837,2362213,3945547,6298080,9593180,13970381,9593227,9593226,13970450,19516597,26232659,34094799,43179040,34095738,34095737,43180053,53689865,65746558,73289496,60546214,257457320,79103141,79102368,79102369,79102374,93218859,79103137,65747459,53690877,53690876,65747457,79103134,93219625,107622680,93219606,79103123,65747451,53690873,53690874,65747453,259729737,121996556,121996551,121996552,272429729,149146323,149146313,135923224,121996541,107622674,107622672,107622673,121996539,135923221,121996563,121996561,135923243,148385218,135923224,121996541,107622674,93219601,79103120,79103121,93219603,107622676,121996542,121996553,135218582,135218580,135218581,272093308,121996571,107622696,107622697,121996573,121996538,121996539,121996566,107622692,107622691,121996564,260347145,107622689,121996560,135923241,149146321,149146320,135923234,135923235,259791484,116171201,102113680,88125912,74513719,257314998,102113682,94369579,94369580,108657329,122922195,122922217,108657348,108657347,121996574,122922196,260314202,122922215,122922214,136754060,136754069,260314206,122922199,108657333,94369584,80313319,80313318,94369582,94369597,80313333,74513717,61732029,50253597,40234172,40234171,43884368,54626710,66884205,80313296,258535016,90814355,90814354,80313281,66884197,66884199,80313284,94369553,86872004,73259468,257657756,49110436,60513352,73259473,63831062,52015979,41705509,32789923,32789924,41705511,47669282,40320674,40320675,49110429,55676078,49110440,49110439,60513355,73259478,74638769,78422070,73259488,73259489,86872015,88253764,77485642,77485641,64321668,52454400,52454401,61428879,61428880,52454417,52454415,64321665,64321666,63858331,52038688,52016033,41705572,41705569,42101861,33147734,25407255,25407254,33147733,42101860,52038562,47379736,41723187,32803080,32803079,41705404,44543315,49110422,49110423,42101833,33147717,33147718,42101836,52016050,41705588,41705587,49110181,49110174,49110173,41723261,41723262,41723302,41723301,52038620,42101999,40099218,40099219,41705635,32803246,25101381,25091870,18545927,13177482,13177481,18545923,25091862,32789988,41705532,41705534,49110450,41705418,32789813,25091733,25091735,18816739,18816741,25407263,27077929,32803095,25101268,18552807,18552797,13182483,8985903,5866487,5866486,3662578,3662579,5866498,8985929,13182531,18552888,13405131,13182521,13182522,18552870,18552882,13182529,13182527,18552877,25101390,32790125,25091952,18545970,18545971,25091957,25407303,25407305,32803185,32803182,32803204,41723313,42101980,41723207,41723206,52038525,63858174,60546215,49146907,39220491,30623171,23201148,23201147,18816727,13405107,13405106,18552817,25101288,32803120,41723230,256335978,30623172,255642404,18552827,18552826,25101303,32803138,41723247,51532261,41311701,32466604,32466603,41311698,51532260,63248658,60546212,49146899,49146900,49146888,49146887,41705767,32790111,32790110,41705766,52016247,63831361,63831362,76938722,65746560,65746559,79102374,93218859,79103137,65747459,53690877,269565077,79103139,65747460,258469573,79103124,79103125,93219610,92733562,271087907,121369178,121996587,121996584,121996583,135922500,121995815,107621942,107621941,116171198,102113675,88125909,88125910,102113676,108657325,105642605,91416511,77485644,259026953,105642607,119881301,108657319,108657320,119881309,258875756,122922194,108657326,94369573,80313301,258441564,80313293,80313292,86872013,73259488,60513369,49110456,39180927,39180928,49110459,52454398,64321666,63858331,52038688,52016033,41705572,41705569,52016031,63831105,63858166,52038516,41723194,41705633,32803246,25101381,25091870,18545927,13177482,13177481,18545923,25091862,32789988,41705532,41705534,49110450,41705418,32789813,25091733,25091735,18816739,18816741,25407263,27077929,32803095,25101268,18552807,18552797,13182483,13182485,18552804,25101265,32803089,25407290,18816757,18816756,25407287,33147777,42101900,52454390,52016261,42101878,33147749,33147748,42101875,42101848,33147723,25407244,18816733,13405109,13405110,18816736,25407253,33147732,25407308,25407309,25407370,33147867,42102001,52454479,52038544,52016068,41705605,41705604,33147745,25407265,25407264,25407361,25407360,25407345,25407344,33147843,41723371,37199288,37199289,39220487,39220486,49146903,257457320,86900095,259711855,93219623,107622703,121369176,121369175,135218580,135218581,272093308,121996571,107622696,107622697,121996573,121996538,121996539,121996566,107622692,107622691,116171199,102113675,102113674,116171197,107622693,260347147,260995764,121996577,121996578,135923258,143407168,130078860,130078861,143407171,143407161,260404106,136754066,135923255,135923254,122922217,122922216,108657351,94369598,80313333,74513717,61732029,50253597,256223834,74513718,88125910,94369590,80313327,80313328,94369592,94369596,80313331,80313332,66884234,54626728,43884381,34613173,26624144,26624146,26624138,26624137,34613164,43884368,54626710,66884205,80313296,258535016,90814355,76938451,63831122,63831121,76938415,77485679,74207349,74207350,87810549,90848875,78519429,78519428,76938441,63831104,63831105,63858166,52038516,41723194,32803086,32803087,39180926,30583214,23165383,23165386,30583219,39180933,32789810,25091733,25091735,18816739,18816741,25407263,27077929,32803095,25101268,18552807,18552797,13182483,13182485,18552804,25101265,32803089,25407290,18816757,18816756,25407287,33147777,42101900,52454390,52016261,42101878,33147749,33147748,42101875,42101848,33147723,25407244,18816733,13405109,13405110,18816736,25407253,33147732,25407308,25407309,25407370,33147867,42102001,52454479,52038544,52016068,41705605,41705604,33147745,25407265,25407264,25407361,25407360,25407345,18816790,18816789,25101274,25101273,32803102,41723206,52038525,63858174,60546215,49146907,39220491,30623171,23201148,23201147,18816727,13405107,13405106,18552817,25101288,32803120,41723230,256335978,30623172,255642404,18552827,18552826,25101303,32803138,41723247,51532261,41311701,41311699,39180732,36922212,28423772,21200584,15235554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8428274, s2 = 3331583, dlinesl.size( ) = 2 s1 = 8428274, s2 = 3331583, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8428274, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 2741333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8432857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2509696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3049615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10256453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10256453, s2 = 5852587, int(edited[s2]) = 0 s1 = 10256453, s2 = 5852587, d1 = 27, d2 = 4 Dl.O(d1) = 201606669,207480646,212323333,216279864,212323424,264792293,219559862,216339692,216339683,212396037,212396035,212323400,207480700,201728335,201606709,201606708,207480701,212323402,216279927,212323463,212323426,207480728,201606735,194627723,194627721,201606732,207480725,212323405,207480705,201606711,201606712,207480706,212323411,216279931,216279963,216279854,212323321,212323318,216279852,219559807,216279968,216279969,265226653,265024212,212323476,207480772,201606768,201606770,207480777,207480754,264539263,264792288,212396057,216339700,219610542,219610518,274110556,212396013,216279993,212323485,207480787,263950992,186478645,264258251,212323323,207480638,201606663,263601040,186478588,194627667,201606666,207480642,212323328,216279835,216279834,216279868,216279859,212323327,207480641,207480642,264792285,264539234,201606655,264258235,212323307,216279838,265226643,216279829,216279830,216279949,216279950,216339672,264796746,207480778,201606771,201606772,264539233,216279856,219559808,219610529,216339682,212396036,207574549,201728328,201728329,207574551,212396039,216339687,219610533,222330257,219559794,274284423,218984988,215617537,215617536,216279842,274005666,201606656,194627662,263944917,201728315,207480785,201606778,201606777,207480783,211543214,215617564,212396063,207574574,201728344,263594500,177344708,166791929,166791928,177344706,186665790,194782542,201728340,207574563,212396052,216339695,219559784,216279832,216279833,212323479,207480774,201606768,194627750,186478640,273881244,273662349,182561826,262539767,149171725,135947562,122019831,107645331,93242624,79126969,79126970,79126971,65771661,53714279,43201850,34114840,26250354,26250353,26250356,19532845,13985708,9607582,6310535,3955195,3955194,3910103,2341233,2341232,2368565,1371129,1371128,2368563,3955193,6180064,3871766,3868573,2317214,1343778,1343777,1354863,1354859,2337631,2337627,2365414,1369532,1369534,2306575,2306576,3849689,6152507,6368816,6388950,8705543,8705546,12721061,13981715,13981714,9607581,9607579,9607578,9607580,13985705,19532841,26250348,34114836,43201847,38322877,31758882,24247071,17870257,12654824,8591832,254420499,2054166,254283003,5582655,8591822,12654803,17870216,24246997,31758811,29753752,29753750,38323179,43066011,34008236,34008237,34973056,26894062,25653050,19034183,13586584,13586587,19034193,25653056,33421704,38809200,38809201,268499640,268499156,47852398,47852397,49866256,42730211,33700415,33700416,37885980,29317133,29317132,34970025,33747352,25939728,25817008,19167386,19167387,21852697,25894752,21992030,21992029,19459385,17069918,11980737,8029005,8029006,11980742,11018340,11018343,15894161,13682863,9370297,254301624,2300645,1334955,1334958,2300656,3840105,6137841,9370362,6273475,6273478,9540958,6273046,3929419,3929421,3929575,6262474,3920684,2398106,1387707,789206,447020,251547,138802,138800,251540,447003,789161,1387572,1387570,2397863,2397885,1387578,1387576,2397877,4001356,6377544,9696853,254148602,26402554,34277726,43376757,53900663,43376754,43376755,53900665,65966925,79330110,79330111,93460538,107889228,122305031,136281372,149546654,161851343,173016273 Dl.O(d2) = 186329536,194498014,264251539,212241005,216208351,219496546,222274171,224658911,265737725,230124543,231534123,232797819,233939923,274699673,235927583,236790790,274776023,266760430,235912566,234964198,233922166,266164490,230102206,228512107,228512108,226702693,224626871,222236348,219451572,219451570,216154690,212175528,207303584,201395246,194374116,186179153,186179152,186179149,176779672,166156590,166156589,262433120,262433122,128419837,114536543,100506098,86543938,72944120,72944119,86543936,269960878,257158762,37741354,29180541,25480071,18878029,13452860,13452859,13452959,18878019,15395693,15395691,21377429,28613060,37123923,37123868,28612986,256320359,47010814,42188775,269203834,22900617,30299168,38884878,48807181,42188989,39419467,30814288,30814289,25479889,25479890,33228456,38932328,30346425,30346426,33228237,39216358,30619323,23197964,16929341,11848619,11848617,16929339,16997275,11911489,11911490,16997280,23260368,30619017,30619016,39215979,30619106,30505706,23091118,23091119,30505713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10256453, s2 = 5852587, dlinesl.size( ) = 2 s1 = 10256453, s2 = 5852587, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10256453, Dl.E( ) = 28, 1.41e-05 seconds used appending s1 = 11659152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659152, s2 = 10207787, int(edited[s2]) = 0 s1 = 11659152, s2 = 10207787, d1 = 11, d2 = 13 Dl.O(d1) = 47353974,58741593,62150313,255613856,31886911,24359750,17965049,12730949,8650805,5626776,3496169,3496171,3592387,5626822,4092009,4092011,6516305,4082980,3876965,3876966,6194216,7166813,4513899,2712303,2712302,4513870,4513865,7166758,4593958,2763769,2763764,4593939,7284662,9447800,6193990,3876853,3876854,6193993,9447803,13779920,15745685,10977781,7266084,4582232,2756860,1598154,1598153,2756858,4582229,7266083,10977780,15841388,11004371,7284699,7284697,11004366,10670408,7047428,4435526,4435525,7047425,254498121,2763782,2763781,4593979,7284721,10601979,8719437,8719436,12824942,12824941,18090063,24521666,27000088,21319923,20109992,14421019,9919517,9919516,13967351,9590718,6519332,4084791,2443918,1413122,1413121,2443917,4084788,6519325,6518574,4084298,4084299,6518577,4395053,4083844,4083843,6517754,6529578,6529579,5969326,3733088,2235162,1296274,1296273,2235160,3733084,5969316,9122479,9919048,12863182,10601950,10601952,12851593,8739373,5689476,3539344,2106887,1213392,254196935,3539330,5689454,8739337,12851547,18124167,13351510,9123759,5970244,5970130,3733540,3733541,2235401,2235402,3733568,5970171,9123665,13351412,10632320,7018387,7018385,10632318,8786368,5722564,5722565,5662186,5662187,5662192,5662193,8698912,12794954,18048875,13986147,9607964,6310812,3955339,254210833,1371174,2368642,3955340,6310814,9607968,13986152,19533298,26250798,256699733 Dl.O(d2) = 93242973,260348805,260944906,161458535,172635113,262994566,191243079,198716519,205047752,210292616,214578281,216792079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659152, s2 = 10207787, dlinesl.size( ) = 2 s1 = 11659152, s2 = 10207787, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659152, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 26763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13316741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9598792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9455440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9085475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8433311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2745003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13746957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7653599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13450117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7928447, s2 = 6937943, int(edited[s2]) = 0 s1 = 7928447, s2 = 6937943, d1 = 32, d2 = 29 Dl.O(d1) = 255094838,46381299,46381298,57731395,70397836,57703857,57703858,255595286,59543941,48157033,38605859,30032058,268005530,39042874,30453418,23045002,23045004,26335611,23478254,23478255,30915205,29142964,21836935,21836934,29142441,29142442,29144316,37704502,29156333,21847621,15777103,10928972,10928971,15777100,15777058,15777059,21847577,16547879,16547878,22760009,21848111,15777492,15777493,21836039,254121896,254085630,10921116,10921117,15766465,15766463,10919491,7221755,4550171,2735161,2735157,4550161,7221732,10919448,15766581,21835708,21842091,21842090,29150367,29158979,29142463,29142461,29156755,36942266,28442695,21216912,21216911,21847608,21847609,21850444,15779663,10930989,10930988,15779661,21836858,21836859,21835714,21835715,254512886,30527853,23109832,18565625,18565624,254512884,15767076,15767075,21836333,29144027,29157535,29157809,29144705,21841062,21841064,21846517,15776119,15776121,21846520,29155254,29155940,29143598,21835900,21835899,254342860,37704416,29144199,21836497,15767205,15767206,21836499,21068919,21068918,28271773,29158946,21850536,15779756,10931049,7231877,4558342,2740895,2740893,4558338,7231869,10931036,10930042,10930041,15772551,10924997,7226770,7226771,10924986,15772536,15767381,10924938,7226744,4554212,4554213,7226750,7230617,7230618,254342244,15779751,10931046,10931044,15774978,21845190,21848411,21836157,254121902,15771776,15771777,21841388,29144713,21837083,15777434,10929179,254230632,15777819,21834591,19607425,14049877,9661073,6353094,3986222,3986221,6353092,4557190,2740044,1587799,902626,902624,1587794,2740038,4557176,7230509,10929484,15777915,21848595,21851958,15781043,10932348,7233238,7233239,10932350,15781047,21835195,21835193,29142898,29143318,21871362,21871363,22064670,15960033,255057498,21847999,21848000,16901635,11827954,7904487,7904488,11827956,16901641,23164041,30581675,29181998,29181997,34209988,26336184,26336185,34210010,28042876,28042875,31850982,30436277,29156580,21847902,15777341,10929119,7230293,7230294,10929122,15777346,19607807,15797219,10945511,7243113,4566541,2746433,2746432,4566535,7243105,9661229,6353184,3986269,3986271,6353188,9661237,14050149,15804655,21871443,26336169,26336170,26336025,19607745,14050095,9661206,6353174,3986265,3986266,6353177,7243163,4566568,4566570,7243142,10945558,15797285,19607854,14050174,9661254,6353195,6353194,9661249,13070462,8906660,5812199,3625548,2165222,2165221,3625544,5812191,8906647,6353159,6353160,9661183,14050058,257860071 Dl.O(d2) = 260340959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13175987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13175987, s2 = 14259130, int(edited[s2]) = 0 s1 = 13175987, s2 = 14259130, d1 = 13, d2 = 5 Dl.O(d1) = 8093236,12038411,8671541,5641695,5641696,8671543,5641731,3506539,2084354,2084352,3506533,267918271,12759271,14075240,14075239,19638524,255243326,43348436,51000085,45416156,35814166,28723174,26371390,26371388,25410667,24411722,18003316,12759235,12759237,18003322,18003246,13397794,13397792,18806792,24411581,18003230,18003229,24411580,18003614,12759392,12759391,18003612,24412146,31960021,40698517,50789793,62352938,51496179,51496180,43348494,34248357,26371415,19638559,14075258,14075257,19638555,26371410,34162988,30253483,30253481,38779504,30194968,22804162,22804163,30194970,38779508,34599255,26612150,19804089,14185546,9751711,9751712,14185550,19804099,25370046,18785982,13380359,13380360,18785985,18003604,12759384,8671659,8671661,12759388,18003609,24412141,24412175,22099975,22099974,19638942,18087630,18087631,24518836,32093603,256198849,26612117,21890020,15812999,15812998,21890018,29202890,37764448,32778651,256617257,38408727,29836476,22469315,21889963,21889966,29202815,21889977,15812977,15812979,21889860,15812915,10958270,10958271,15812920,21889870,29202643,37764159,47686236,43869382,37765493,268394861,15813654,10958688,7253474,7253473,10958686,15813648,21890905,29203921,23167775,16904655,16904656,23167778,23168616,255520399,11830038,11830039,16904481,23167509,29203222,21890330,15813212,10958436,10958434,15813208,21890323,29203215,37764754,47686641,59086057,71826731,85414831,99357918,113359822,127218329,140564204,136182684,122218119,107812084,93389809,79263368,65901076,65901077,258237050,26336587,19608266,14050462,9661436,9661435,14050461,19608265,26336585,34210341,271384234,257860113,43308743,34210338,34210339,43308745,53833824,65901074,58318970,46952048,37072158,255827705,15367194,10617810,7006968,4404571,4404569,7006961,10617804,254499917,2653647,4422708,7030562 Dl.O(d2) = 15405215,21389457,256321569,47029384,58401366,71119066,84683515,98608426,261101371,126472875,260551606,109359314,95105110,81047680,67579836,55237689,256902390,48378258,38476058,30710432,23293962,23293963,30710435,39308190,49234993,52303815,49234662,41283238,41283237,48871834,48871835,41963286,33020448,33020447,33020702,33020703,257184683,49938595,257908204,47366048,37460637,37460636,40043691,31363496,23869121,17524814,17524812,23869116,28921502,28921501,37460944,47366313,58752265,59516361,59516359,72250525,85842134,99794750,98977345,85052323,71480974,58752262,58752263,258698465,84089619,70553056,57851657,271078884,70553043,70553042,84089605,97963379,111900859,111900861,111900860,111923716,111923715,111923718,97984312,84109431,70572852,57871414,57871413,61886237,50395810,40360481,255584256,24156386,17789390,17789391,255194544,50395815,256542806,88306466,102300886,116390836,259529390,130224531,143548517,156080639,156080640,167683382,178140788,187371865,178140783,167683379,167683378,260937484,150094932,137017578,123249707,123249706,137017577,260340860,123249709,123249710,137017580,150094936,137017588,123249713,109024488,94744250,94744249,109024487,123249711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13175987, s2 = 14259130, dlinesl.size( ) = 2 s1 = 13175987, s2 = 14259130, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13175987, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 14164666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164666, s2 = 15509448, int(edited[s2]) = 0 s1 = 14164666, s2 = 15509448, d1 = 0, d2 = 0 Dl.O(d1) = 50789417,254941064,31959859,31959858,40698361,254906996,16586726,11566664,11566663,9680724,6367222,6367221,9680719,8671569,8671571,12759230,18003303,24411695,21861444,21466956,15465829,11785749,11785750,16852324,14075287,9680705,254957671,8671645,5641747,3506551,2084358,2084359,3506554,5641757,254311343,2394276,3995288,6367239,9680752,14075374,19638767,26371754,32808661,25106464,18557165,13185946,13185948,18557172,25106477,32808684,26371419,19638560,14075258,14075257,19638555,26371410,34162988,30253483,30253481,38779504,30194968,22804162,22804163,30194970,38779508,34599255,26612150,19804089,14185546,9751711,9751712,14185550,19804099,25370046,18785982,13380359,13380360,18785985,18003604,12759384,8671659,8671661,12759388,18003609,24412141,24412175,22099975,22099972,19638725,14075349,14075348,19638723,26371672,34248675,34249075,34599368,34599367,33640528,33640527,40698178,31959673,26612282,19804175,14185593,9751735,6411916,4022456,2410157,2410158,4022462,6411930,9751754,14185634,19804250,26612403,34599639,39184563,30587249,23169026,16905656,11830766,11830767,15813123,10958388,10958389,15813125,15814355,10959133,10959134,11831159,16906194,23169629,30587883,256158062,15813098,10958373,7253306,4574232,4574230,7253297,10958358,15414215,15414270,15414271,15414263,15414253,15414190,10654940,7035798,7035797,10654930,15414176,16598098,11576055,11576053,16598093,22817160,30208960,33442476,33442477,42435440,47821798,37899920,37899921,41695479,52006989,52006988,60109967,60109966,52007207,41695299,32778613,32778614,41695300,38793507,30208917,30208916,25080673,18537244,13171599,8978771,5861979,3659674,3659676,5861988,8978792,13171638,12379436,11023463,7298382,4603429,4603431,7298392,11023483,13171768,18537506,23634826,21069653,21069652,28272577,36767556,268674429,256504327,32777837,32777836,30503577,30503576,31121179,31121180,36631601,28157271,20977969,17184707,12083192,12083190,17184703,23464018,30897393,257036093,32778455,32778334,32778335,37899972,34282856,34282857,32778569,32777511,32777510,32777994,32777991,25080652,25080653,18538351,18538352,25081149,18537572,18537573,25081151,27935507,25082114,25082115,25081920,25081572,18537895,18537892,18879667,16209725,16209724,22363115,29719337,27936095,27936094,23039253,23039251,25081974,25081975,22360254,22211203,22211202,20783152,20783155,22361298,29717342,36380226,27935922,27935921,20782991,14895587,14895586,18538473,18538474,25082324,20783000,254994785,10242333,14895596,20782328,14895142,14895143,20782333,23050044,23050042,30457664,39046939,39046940,268120644,30375146,22973869,16737292,16737294,22973878,255206908,34585513,26598460,26598461,34585508,43856356,43856359,268749246,14177046,9746214,9746215,14177048,19792409,26598458,31808579,26598463,19792412,14177050,9746216,9746217,14177051,19792413,26598464,34585516,43856363,53263331,42810208,33777731,255314210,13800525,13800524,19301519,25967798,21890321,15813207,15813208,21890323,29203215,37764755,47686641,59086058,71826731,85414830,99357918,113359821,127218329,261690509,136182684,122218120,107812084,93389810,79263368,259483886,53833829,53833828,65901077,257444596,41916352,32976371,25253577,25253575,21144633,21144632,25403123,25403124,28624056,21386442,15402933,10646285,10646283,15402929,21386435,28624043,28624016,28624017,34279263,28624163,28624165,37136987,41660923,41660922,51968623,47025269,47025268,58311182,46944650,46944651,47002635,58372739,52878165,42474279,33480800,33480799,39904669,47561363,37655440,37655439,29259087,21938190,21938189,29259081,33981308,34280842,28359879,21144731,21144732,28359962,36857946,46739556,47002567,256057706,28607092,37116733,47002570,47560258,48757931,46995923,46995911,37110631,28601761,21368425,21368423,28601754,28624196,28624197,28601796,28601795,32750018,41660867,46739586,36857949,28359965,25058405,18520111,13158922,13158923,268106594,14050462,255305001,19608265,26336583,26336584,34210339,43308744,53833823,65901074,58318970,58318966,46952045,37072156,28569431,255398053,10617810,10617809,15367193,21341733,28569430,28569411,21341716,15367185,10617803,10617804,10647981,15405212,21389454,256321567,47029380,256754014,58401362,255336162,28848223,22925547,16691071,11652018,11652019,16691074,22925554,30326658,24356154,17962087,17962086,24356152,31882650,40589654,50637429,269771089,58006582,70722147,71107763,58390925,58390924,58483998,47105740,37209026,28684992,21435201,21435202,25381722,25381721,33117096,42066029,47015671,37128332,28616907,28616906,37128329,47015665,58386787,71103440,61501038,61501039,71450218,58719815,47331348,37423066,37423065,256516454,48834535,48834536,60229292,72966676,60229185,48834453,48834454,60229189,58812800,47425788,47425789,58812802,71541590,256516426,60229119,72966599,71604439,71604440,60747646,60747643,73496503,77415192,91333977,105551845,119785305,126879778,113026788,99038246,99038247,87115189,87115190,101113237,99091414,85169260,85169259,85169279,71604479,71604480,77415250,259651891,119785326,113079502,113079289,113079290,113079283,99091393,85169228,71604433,58884880,58884881,58884882,71604435,85169230,85169215,85169216,85169256,71604456,71604455,71604376,58884795,58884794,71604374,71604444,85169236,99091396,102603008,88595040,74953040,74953041,88595043,102603016,113079495,99091660,85169550,85169549,73496518,60747657,60747658,73496524,87115209,91333991,77415207,71604482,58884929,58884930,258708601,99091428,113079317,99091666,85169564,85169565,85169292,85169291,85169317,99091388,113079277,113079508,99091670,99091445,87115218,76943342,76943341,71604427,71604428,71604452,85169248,98993012,112983103,119191221,104996410,258084990,90819012,90819011,102603011,102603010,258084992,112983097,98993008,98993007,87115196,87115195,87115201,87115202,101113253,91334009,91333988,91333987,101113227,115191369,126932755,113079315,113079316,115191377,101730648,101730647,113079500,101730650,87758253,75984110,75984111,89762731,269075194,71493924,76943344,63836228,63836229,76943347,85169244,85169245,99091403,113079298,119191224,104996414,90819007,76943366,63836245,63836246,76943368,90819014,85067031,71494580,58764777,58764776,71494575,85067025,85169298,99091205,101113250,101113249,90819000,90818999,101113233,87115188,87115187,99091385,98992985,85066991,71494547,58764737,58764736,61373737,49893208,39871005,39871006,49893212,61373743,74154115,71493932,58763983,47376689,47376690,58763985,71493935,85066523,98992693,112982943,126837271,119191270,104996460,90819072,268619374,63836336,58885271,52021215,52021211,41710491,41710490,52021197,63836307,63836308,71494584,63836217,52021132,257761863,76943331,63836243,63836242,71604764,58885258,47506304,37602487,37602486,47506302,58885255,58884681,58884682,71604294,71604887,71604886,85169027,71604181,61373766,49893226,49893225,61373763,74154107,87758261,85066519,85066518,76943338,76943337,90818987,98980854,85055770,85055769,98980850,90819068,76943446,63836334,52021219,41710496,32794239,32794240,32794233,32794232,41710478,52021158,41710457,41710458,52021162,63836258,76943376,85169501,71604767,58885261,47506307,37602489,29054333,29054334,37602493,39871008,31188403,23698619,17376613,17376614,23698623,31188406,23698627,23698628,31188411,39871020,49893235,61373771,74154137,63836222,52021135,52021136,63836224,74154083,74154082,71484386,71484387,85055779,71604319,58884724,52021223,41710501,32794247,25095001,18548158,13178968,8983421,8983420,13178964,18548152,25094991,32794224,41710464,52021170,63836272,58885274,47506325,37602504,29054340,21759819,21759820,29054342,37602506,39871002,31188401,31188400,31188398,31188399,39870998,49893197,61373724,49893229,49893228,61373750,52021155,52021153,52021140,41710448,41710449,52021143,63836233,71484390,58755659,47369741,37464352,28924650,21648885,15615562,254338442,28924646,32794211,25094986,18548147,13178960,13178959,18548143,25094981,32794197,41710429,52021112,63836195,76943311,76943384,63836267,58885266,47506315,37602497,37602498,47506318,58885268,63836192,255850728,37464350,37464349,37054796,28554421,21329150,21329149,28554419,37054792,46933162,58299214,71014444,84579082,90818974,76943304,76943302,257464898,257475072,104996438,104996437,99091628,85169490,71604745,58885244,58885245,71604749,58885299,58885298,71604805,258708576,85169470,71604732,71604733,85169477,99091617,104996439,98504417,84579070,71014420,58299185,58299186,63836289,63836290,76943405,71604821,58885309,47506352,47506353,58885314,71604825,71604797,58885291,58885292,71604298,71604297,58884693,58884692,52021102,52021103,63836184,76943298,85169105,71604306,71604305,85169102,99091267,85169494,84579056,84579055,98504408,85169557,71604858,58885350,47506387,47506388,58885352,47506413,37602590,37602591,47506375,47506365,37602539,256353832,58885334,71604829,71604869,71604867,85169018,256353826,47506378,37602550,29054375,268622177,47505785,58884810,71604173,58884514,47505362,37601487,37601480,29053282,21758809,21758810,29053284,37601483,47505380,47506423,47506422,58884507,47505355,37601436,37601437,37601744,37602575,29054388,21759850,15704727,10871866,7188223,7188222,10871861,15704724,10871879,7188230,7188229,10871876,15703955,15703954,21759034,21759017,15703933,15703934,15704731,21759857,29054401,37602468,29054317,29054316,37602465,47506282,37602482,29054331,21759815,15704704,10871844,10871845,15704706,15703791,10871015,10871013,15703787,268391267,29054425,29054426,37602603,47505358,37601441,29053244,29053245,29054413,21759874,15704742,10871874,7188226,4528683,2722308,1577547,1577548,2722310,4528687,7187652,10871109,7187635,4528265,4528263,7187633,10871102,10871834,7188213,7188214,10871837,15704698,21759803,29054321,37602472,47506287,37602480,29054326,21759810,21759811,29053528,21759031,21759030,15703949,254747116,15703959,21759053,29053555,37601783,37601829,37601828,37601836,37601761,29053533,29053534,29053650,37601786,29053558,21759055,21758792,15703768,10870993,7187571,7187572,4528289,2722067,1577375,1577372,2722064,4528285,7187660,254747091,7187551,10870973,15703749,21758764,29053239,37601425,47505347,47505648,47505647,58884712,47505656,37601823,37601822,37601459,29053257,21758782,21758783,29053259,37601462,47505367,37602442,29054279,29054280,29053646,21759123,15704025,10871178,7187700,4528314,2722083,1577380,896826,896825,1577377,2722074,4528216,2722016,1577343,1577345,2722020,4528225,7187586,10871018,10871153,7187683,7187682,7187554,7187555,10870981,15703755,255053032,37601433,29053585,21759069,15703970,15703969,21759066,29053582,37601804,37601825,37601454,29053590,21759076,21759077,29053563,37601788,37054773,37054774,267751730,21759099,21759100,21329127,21329126,21759094,254229422,10871159,15703978,10871138,7187671,7187670,10871135,15703974,15703775,10871001,7187575,7187574,10870998,7188197,4528665,4528664,7188191,10871817,15704680,21759779,29054290,29053272,21758795,21758794,21329119,21329121,28554391,29053570,37054752,28889519,28889518,29053876,21759385,15704315,15357023,10609685,10609686,15357029,10871569,10871567,15704429,21759079,15704445,15704444,21759517,28554375,21329108,21329107,21759071,15704650,15704649,15704655,10871791,254510240,2722289,1577537,1577536,2722285,4528639,7188147 Dl.O(d2) = 50789417,254941064,31959859,31959858,40698361,254906996,16586726,11566664,11566663,9680724,6367222,6367221,9680719,8671569,8671571,12759230,18003303,24411695,21861444,21466956,15465829,11785749,11785750,16852324,14075287,9680705,254957671,8671645,5641747,3506551,2084358,2084359,3506554,5641757,254311343,2394276,3995288,6367239,9680752,14075374,19638767,26371754,32808661,25106464,18557165,13185946,13185948,18557172,25106477,32808684,26371419,19638560,14075258,14075257,19638555,26371410,34162988,30253483,30253481,38779504,30194968,22804162,22804163,30194970,38779508,34599255,26612150,19804089,14185546,9751711,9751712,14185550,19804099,25370046,18785982,13380359,13380360,18785985,18003604,12759384,8671659,8671661,12759388,18003609,24412141,24412175,22099975,22099972,19638725,14075349,14075348,19638723,26371672,34248675,34249075,34599368,34599367,33640528,33640527,40698178,31959673,26612282,19804175,14185593,9751735,6411916,4022456,2410157,2410158,4022462,6411930,9751754,14185634,19804250,26612403,34599639,39184563,30587249,23169026,16905656,11830766,11830767,15813123,10958388,10958389,15813125,15814355,10959133,10959134,11831159,16906194,23169629,30587883,256158062,15813098,10958373,7253306,4574232,4574230,7253297,10958358,15414215,15414270,15414271,15414263,15414253,15414190,10654940,7035798,7035797,10654930,15414176,16598098,11576055,11576053,16598093,22817160,30208960,33442476,33442477,42435440,47821798,37899920,37899921,41695479,52006989,52006988,60109967,60109966,52007207,41695299,32778613,32778614,41695300,38793507,30208917,30208916,25080673,18537244,13171599,8978771,5861979,3659674,3659676,5861988,8978792,13171638,12379436,11023463,7298382,4603429,4603431,7298392,11023483,13171768,18537506,23634826,21069653,21069652,28272577,36767556,268674429,256504327,32777837,32777836,30503577,30503576,31121179,31121180,36631601,28157271,20977969,17184707,12083192,12083190,17184703,23464018,30897393,257036093,32778455,32778334,32778335,37899972,34282856,34282857,32778569,32777511,32777510,32777994,32777991,25080652,25080653,18538351,18538352,25081149,18537572,18537573,25081151,27935507,25082114,25082115,25081920,25081572,18537895,18537892,18879667,16209725,16209724,22363115,29719337,27936095,27936094,23039253,23039251,25081974,25081975,22360254,22211203,22211202,20783152,20783155,22361298,29717342,36380226,27935922,27935921,20782991,14895587,14895586,18538473,18538474,25082324,20783000,254994785,10242333,14895596,20782328,14895142,14895143,20782333,23050044,23050042,30457664,39046939,39046940,268120644,30375146,22973869,16737292,16737294,22973878,255206908,34585513,26598460,26598461,34585508,43856356,43856359,268749246,14177046,9746214,9746215,14177048,19792409,26598458,31808579,26598463,19792412,14177050,9746216,9746217,14177051,19792413,26598464,34585516,43856363,53263331,42810208,33777731,255314210,13800525,13800524,19301519,25967798,21890321,15813207,15813208,21890323,29203215,37764755,47686641,59086058,71826731,85414830,99357918,113359821,127218329,261690509,136182684,122218120,107812084,93389810,79263368,259483886,53833829,53833828,65901077,257444596,41916352,32976371,25253577,25253575,21144633,21144632,25403123,25403124,28624056,21386442,15402933,10646285,10646283,15402929,21386435,28624043,28624016,28624017,34279263,28624163,28624165,37136987,41660923,41660922,51968623,47025269,47025268,58311182,46944650,46944651,47002635,58372739,52878165,42474279,33480800,33480799,39904669,47561363,37655440,37655439,29259087,21938190,21938189,29259081,33981308,34280842,28359879,21144731,21144732,28359962,36857946,46739556,47002567,256057706,28607092,37116733,47002570,47560258,48757931,46995923,46995911,37110631,28601761,21368425,21368423,28601754,28624196,28624197,28601796,28601795,32750018,41660867,46739586,36857949,28359965,25058405,18520111,13158922,13158923,268106594,14050462,255305001,19608265,26336583,26336584,34210339,43308744,53833823,65901074,58318970,58318966,46952045,37072156,28569431,255398053,10617810,10617809,15367193,21341733,28569430,28569411,21341716,15367185,10617803,10617804,10647981,15405212,21389454,256321567,47029380,256754014,58401362,255336162,28848223,22925547,16691071,11652018,11652019,16691074,22925554,30326658,24356154,17962087,17962086,24356152,31882650,40589654,50637429,269771089,58006582,70722147,71107763,58390925,58390924,58483998,47105740,37209026,28684992,21435201,21435202,25381722,25381721,33117096,42066029,47015671,37128332,28616907,28616906,37128329,47015665,58386787,71103440,61501038,61501039,71450218,58719815,47331348,37423066,37423065,256516454,48834535,48834536,60229292,72966676,60229185,48834453,48834454,60229189,58812800,47425788,47425789,58812802,71541590,256516426,60229119,72966599,71604439,71604440,60747646,60747643,73496503,77415192,91333977,105551845,119785305,126879778,113026788,99038246,99038247,87115189,87115190,101113237,99091414,85169260,85169259,85169279,71604479,71604480,77415250,259651891,119785326,113079502,113079289,113079290,113079283,99091393,85169228,71604433,58884880,58884881,58884882,71604435,85169230,85169215,85169216,85169256,71604456,71604455,71604376,58884795,58884794,71604374,71604444,85169236,99091396,102603008,88595040,74953040,74953041,88595043,102603016,113079495,99091660,85169550,85169549,73496518,60747657,60747658,73496524,87115209,91333991,77415207,71604482,58884929,58884930,258708601,99091428,113079317,99091666,85169564,85169565,85169292,85169291,85169317,99091388,113079277,113079508,99091670,99091445,87115218,76943342,76943341,71604427,71604428,71604452,85169248,98993012,112983103,119191221,104996410,258084990,90819012,90819011,102603011,102603010,258084992,112983097,98993008,98993007,87115196,87115195,87115201,87115202,101113253,91334009,91333988,91333987,101113227,115191369,126932755,113079315,113079316,115191377,101730648,101730647,113079500,101730650,87758253,75984110,75984111,89762731,269075194,71493924,76943344,63836228,63836229,76943347,85169244,85169245,99091403,113079298,119191224,104996414,90819007,76943366,63836245,63836246,76943368,90819014,85067031,71494580,58764777,58764776,71494575,85067025,85169298,99091205,101113250,101113249,90819000,90818999,101113233,87115188,87115187,99091385,98992985,85066991,71494547,58764737,58764736,61373737,49893208,39871005,39871006,49893212,61373743,74154115,71493932,58763983,47376689,47376690,58763985,71493935,85066523,98992693,112982943,126837271,119191270,104996460,90819072,268619374,63836336,58885271,52021215,52021211,41710491,41710490,52021197,63836307,63836308,71494584,63836217,52021132,257761863,76943331,63836243,63836242,71604764,58885258,47506304,37602487,37602486,47506302,58885255,58884681,58884682,71604294,71604887,71604886,85169027,71604181,61373766,49893226,49893225,61373763,74154107,87758261,85066519,85066518,76943338,76943337,90818987,98980854,85055770,85055769,98980850,90819068,76943446,63836334,52021219,41710496,32794239,32794240,32794233,32794232,41710478,52021158,41710457,41710458,52021162,63836258,76943376,85169501,71604767,58885261,47506307,37602489,29054333,29054334,37602493,39871008,31188403,23698619,17376613,17376614,23698623,31188406,23698627,23698628,31188411,39871020,49893235,61373771,74154137,63836222,52021135,52021136,63836224,74154083,74154082,71484386,71484387,85055779,71604319,58884724,52021223,41710501,32794247,25095001,18548158,13178968,8983421,8983420,13178964,18548152,25094991,32794224,41710464,52021170,63836272,58885274,47506325,37602504,29054340,21759819,21759820,29054342,37602506,39871002,31188401,31188400,31188398,31188399,39870998,49893197,61373724,49893229,49893228,61373750,52021155,52021153,52021140,41710448,41710449,52021143,63836233,71484390,58755659,47369741,37464352,28924650,21648885,15615562,254338442,28924646,32794211,25094986,18548147,13178960,13178959,18548143,25094981,32794197,41710429,52021112,63836195,76943311,76943384,63836267,58885266,47506315,37602497,37602498,47506318,58885268,63836192,255850728,37464350,37464349,37054796,28554421,21329150,21329149,28554419,37054792,46933162,58299214,71014444,84579082,90818974,76943304,76943302,257464898,257475072,104996438,104996437,99091628,85169490,71604745,58885244,58885245,71604749,58885299,58885298,71604805,258708576,85169470,71604732,71604733,85169477,99091617,104996439,98504417,84579070,71014420,58299185,58299186,63836289,63836290,76943405,71604821,58885309,47506352,47506353,58885314,71604825,71604797,58885291,58885292,71604298,71604297,58884693,58884692,52021102,52021103,63836184,76943298,85169105,71604306,71604305,85169102,99091267,85169494,84579056,84579055,98504408,85169557,71604858,58885350,47506387,47506388,58885352,47506413,37602590,37602591,47506375,47506365,37602539,256353832,58885334,71604829,71604869,71604867,85169018,256353826,47506378,37602550,29054375,268622177,47505785,58884810,71604173,58884514,47505362,37601487,37601480,29053282,21758809,21758810,29053284,37601483,47505380,47506423,47506422,58884507,47505355,37601436,37601437,37601744,37602575,29054388,21759850,15704727,10871866,7188223,7188222,10871861,15704724,10871879,7188230,7188229,10871876,15703955,15703954,21759034,21759017,15703933,15703934,15704731,21759857,29054401,37602468,29054317,29054316,37602465,47506282,37602482,29054331,21759815,15704704,10871844,10871845,15704706,15703791,10871015,10871013,15703787,268391267,29054425,29054426,37602603,47505358,37601441,29053244,29053245,29054413,21759874,15704742,10871874,7188226,4528683,2722308,1577547,1577548,2722310,4528687,7187652,10871109,7187635,4528265,4528263,7187633,10871102,10871834,7188213,7188214,10871837,15704698,21759803,29054321,37602472,47506287,37602480,29054326,21759810,21759811,29053528,21759031,21759030,15703949,254747116,15703959,21759053,29053555,37601783,37601829,37601828,37601836,37601761,29053533,29053534,29053650,37601786,29053558,21759055,21758792,15703768,10870993,7187571,7187572,4528289,2722067,1577375,1577372,2722064,4528285,7187660,254747091,7187551,10870973,15703749,21758764,29053239,37601425,47505347,47505648,47505647,58884712,47505656,37601823,37601822,3760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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164666, s2 = 15509448, dlinesl.size( ) = 2 s1 = 14164666, s2 = 15509448, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164666, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 8024124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9707120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3053680, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 668682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344665, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2748367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8324807, s2 = 6842548, int(edited[s2]) = 0 s1 = 8324807, s2 = 6842548, d1 = 6, d2 = 6 Dl.O(d1) = 63516196,51738477,254980698,254473654,18419510,24930840,25758025,25758024,33546809,42563201,46888283,37009463,28575233,28575232,37079025,42057220,269006520,260863487,259112332,65988449 Dl.O(d2) = 63516196,51738477,254980698,254473654,18419510,24930840,25758025,25758024,33546809,42563201,46888283,37009463,28575233,28575232,37079025,42057220,269006520,260863487,259112332,65988449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8324807, s2 = 6842548, dlinesl.size( ) = 2 s1 = 8324807, s2 = 6842548, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8324807, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2416760, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10215576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10215576, s2 = 11655952, int(edited[s2]) = 0 s1 = 10215576, s2 = 11655952, d1 = 1, d2 = 1 Dl.O(d1) = 62008795,257102819,31786933,31786932,40481606,50516994,62008785,74805577,62008786,62008787,74805578,88438290,102440376,116537485,116537486,116537493,102440365,102440344,88438259,74805523,74805524,88438260,260157131,130376065,260754555,102440319,88438226,88438227,93244675,93244676,107647476,93244674,79128965,74805511,74805512,79128957,79128956,93244668,102440318,258917839,62008648,62008649,74805478,79128975,79128967,65773668,53716266,43203922,34116803,34116802,43203919,53716274,257853897,43203912,43203913,53716262,44801966,35377299,27252550,27252549,256765773,55709057,68106079,81595329,81595328,79128964,65773666,65773665,68106091,55709065,55709066,68106093,259182401,95628565,109832394,98124068,84228663,70675169,269767298,98124071,112084520,123971871,123971870,109832392,109832393,109832402,123971874,260488888,125919040,125919041,139268472,137653401,123971875,112084516,112084515,125919039,136360332,136360330,122375972,260960799,136360329,122375980,107949408,260363659,107949398,93511960,79375191,79375190,93511958,107949395,93511963,79375194,79375195,259745025,93511978,79375207,66006861,53936278,43409173,34307753,34307752,43409169,53936270,66006845,79375181,79375202,79375201,271118739,93511942,79375176,79375177,271118737,103859548,118004121,103859561,103859560,107949381,122375962,131831399,118004132,103859557,103859558,107949376,122375966,118004130,103859555,89755925,89755924,103859553,118004127,131831392,145090278,149626277,136360328,131831390,118004126,103859551,89755922,89755923,93511926,79375167,79375166,93511923,93511922,107949370,122375958,136360317,149626268,161923609,272952137,145090280,131831397,131831396,145090283,157524862,145090276,131831388,118004124,118004123,131831387,145090275,272462500,122375956,122375955,136360316,149626267,156231302,156231303,143702233,130376078,116537504,116537503,130376076,143702229,156231301,167824309,178265671,175328116,164563800,152725959,152725957,164563798,164563812,152725966,140031400,126678380,126678379,140031398,152725963,164563802,262182742,164563815,152725968,140031402,126678382,112821404,112821403,259934960,140031410,270813866,112821417,112821410,112821409,126678388,138737545,125414027,125414028,138737547,140031408,140031403,126678385,126678384,126678375,126678376,126678393,126678394,271308330,112821406,112821405,112821428,98830401,257453526,71331450,84904167,98830399,112821427,126678408,128002209,114114770,100081712,86115158,72515980,59781817,59781816,258773053,83838982,70313995,70313996,83838984,86115162,77927993,77927992,70314005,57623402,57623401,65930205,269144303,43339085,53863528,58435237,47060044,47060043,58435234,47060040,37168396,37168397,257443111,257443113,37168400,37168401,47060037,37168402,256862834,10659810,10659809,15420345,21408583,28651240,37168387,47060028,58435225,259304587,271488105,89755945,89755946,75977060,75977061,89755950,81091870,81091871,81091867,81091866,81091875,67626310,55288348,44444214,44444215,44444216,258528953,62994348,51315279,51315280,62994351,75977056,62994338,51315271,51315270,258341273,62994324,51315257,51315258,62994328,75977048,75977004,75977005,89755895,103859514,103859515,89755897,75977006,62994283,51315216,41131748,41131751,51315222,51315260,51315259,62994275,62994276,75976999,62994285,51315217,51315218,62994286,258966765,103859527,118004100,131831363,145090257,145090258,157524855,145090263,145090262,131831409,118004140,103859570,103859571,271943499,145090287,150542807,137513995,123791929,123791928,123791946,123791947,123791941,109604164,95352023,95352022,109604163,95352025,81295895,259173005,95352037,95352015,81295881,81295880,81295906,81295905,95352018,89755879,81295883,67830075,55488903,44638930,35254396,27155391,27155392,35254398,44638933,35254414,35254415,269196799,67830079,55488918,55488904,55488905,55488916,55488917,257324699,35254413,268341271,268831531,44638937,35254406,27155398,27155397,27155393,27155394,35254401,257324697,44638925,35254394,27155390,27155389,35254393,27155401,20243884,20243883,20243888,14526185,14526184,20243886,256232657,44638944,44638896,35254366,35254365,44638894,256232661,20243901,20243902,20243900,14526192,14526191,268177623,14526180,20243878,20243960,20243958,27155402,20243973,14526238,9995040,6568825,4114985,254216033,1422819,2461379,4114983,6568822,9995035,14526232,20243962,27155493,35254474,27155458,20243933,14526212,9995024,6568816,6568815,9995022,14526206,20243920,256232669,27155427,27155426,27155436,20243957,20243956,20243971,14526237,9995037,6568823,254695165,255338911,14526208,20243924,27155444,35254457,27155449,20243927,20243928,27155451,35254468,35254505,27155501,20243969,20243967,20243968,27155499,27155503,27155504,35254451,27155442,27155443,35254454,44639000,257324723,39729446,31050786,23566698,17255354,17255355,23566701,17255358,12135437,12135438,17255360,23566706,31050798,39729458,35254476,27155459,20243935,14526213,14526214,255756171,35254480,31050790,256498953,49748322,269389193,257045451,35254490,31050792,23566702,23566703,31050795,39729454,49748325,61227410,67830239,59363065,269805981,258385144,112710823,126574682,113645446,99631824,85682783,85682756,72096258,72096257,85682754,99631797,113645423,127517047,140872524,140208113,126861266,126861265,140137310,126861261,113009223,113009224,126327550,119637742,116489497,116489496,126786657,112932064,112932063,126786655,126861262,113009227,99021112,85096080,85096082,88505225,74869315,71524204,71524205,85096066,258002078,126861256,114573384,100543411,86582846,86582845,100543409,114573381,127501255,113628937,113628936,99614915,85665907,72079206,59345324,59345325,53490203,43011915,33955050,26117951,26117950,33955047,43011911,53490197,65513790,62986345,51308037,41125108,37626662,29075830,21777927,21777926,29075828,37626656,47533104,58914382,53490222,53490219,61528761,61528766,74306279,62986389,62986385,51308062,41125122,32312003,32312004,41125127,48780034,60174491,71218926,71218925,76988486,63877497,63877498,76988488,64213775,52364734,42026615,33082474,33082475,42026620,48558808,48558807,59950958,51308305,51308304,62986641,71439402,63585115,63585114,63585048,51799218,51799217,42125930,256446039,30275051,38859640,48779878,44793044,38859618,30275044,30275045,38859623,48779849,48779956,38859704,38859705,42125920,33169802,33169803,25427472,18834002,18834003,25427478,33169896,42126053,52480835,269028408,84961156,71386507,58651336,58651335,63970459,63970460,53759731,53759732,64350771,62023347,50531350,48780058,48780060,60174536,64350846,77516195,86507807,72911305,60174357,48779890,38859647,30275054,22877751,16649414,255502661,21926009,15839762,255436909,268627557,47733050,49770372,39751850,31074204,31074205,39751853,38859628,38859629,48779858,60174328,72911289,77089115,63970463,52146293,41828225,41828224,52146292,62685158,72985962,60250586,50299783,40279486,40279487,46478486,36612322,28138705,20960623,15051287,15051288,20960625,28138710,36612336,46478505,57834357,61400751,49920820,40912672,32134809,32134808,40912670,51054735,41851993,32922834,32922835,37193403,37193402,47089272,37193380,37193381,42808119,256633816,47089238,37606342,29057391,21762218,15706423,15706424,21762222,29057398,37606360,47510945,58890513,62685525,51054896,51054895,41828241,41828240,37221157,28695740,28695741,37221163,47089379,47089381,37221171,37221170,29212128,21897996,21897998,29212131,37774068,47695445,47089405,47089406,52351503,52351502,58467463,71189441,71189424,58467434,47089301,37193405,28671372,21424184,21424182,21424172,21424129,21424128,21424202,21424201,28671402,37193443,47089338,58467381,47089242,37193345,28671323,28671324,28334752,28334753,36831202,37193457,28671419,28671420,37193460,32903566,25192653,18631386,18631385,25192650,18644175,267853918,5911652,3694911,2212311,2212312,3694913,5911655,4434726,2662606,2662605,4434723,7046325,10668834,15432533,21424220,21444404,21444403,21424410,21424304,15432585,15432586,15432720,15432721,21424516,21424537,21424536,256325355,47089657,37193864,28671826,28671825,37193861,257141448,37193326,268384061,19444655,13914325,9549845,9549846,13914329,19444664,26141623,33981213,26141680,26141679,268207954,18758456,25338267,28671654,255068054,37124325,28613439,21424307,15432587,10668865,10668866,15432591,15432717,21424509,28671808,37193848,47089523,37415556,28873945,21598472,21598473,28873946,37415559,47089442,47089441,49920797,42012185,33067980,33067979,40258454,255867334,21424379,15432657,10668909,10668910,10680797,7055392,7055391,10680793,15448276,21424453,15432687,15432689,17416915,17416914,22965508,30367090,34650702,28671773,21424481,15432699,10668929,7046371,7046372,10668931,15432705,21424491,28671501,21424279,15432567,10668850,10668849,15432566,21424276,28671491,28671591,21424469,15432694,15432693,20266613,19845049,14217545,9774318,9774317,14217541,19845040,26659246,34650524,43923779,54666350,43923917,34650694,26659332,26659333,34650696,39491586,43923915,43923913,54666436,54666424,43923885,43923886,47118814,47118815,39900846,39900847,49920477,47695458,44730148,37774074,31224558,31224557,34280300,257268881,37208046,28684182,23740868,23740867,23453484,17176197,12076816,12076818,17176202,23453496,17416830,17416829,17416467,17416469,17416542,256007061,23453342,23453343,30885231,26406356,19671951,17416573,14101263,9698885,6378971,4002182,4002183,6378975,9698892,14101278,19671163,23453366,19670652,14100892,14100582,9698470,9698468,14100401,14100347,9698320,9698319,11486149,16485367,18272700,19670198,19670195,26404475,19670331,19670330,15449200,15449199,21387193,21806720,21806721,21806719,20268300,14542364,14542365,18520039,18520040,15430915,15430916,15364012,15364013,21337791,28564646,37066349,37110651,28601778,21368433,21368432,28601776,34279636,26404752,22710517,21372697,15391937,10637308,7022130,4416277,4416278,7022139,10637324,15391972,21372760,28359955,36857934,46739575,58109709,256641242,98291904,112273591,126132761,271540142,174946304,262931640,211239446,213298869,208667250,203031551,263683137,188439319,179407502,169138923,169138924,179407504,169138926,157696646 Dl.O(d2) = 62008795,257102819,31786933,31786932,40481606,50516994,62008785,74805577,62008786,62008787,74805578,88438290,102440376,116537485,116537486,116537493,102440365,102440344,88438259,74805523,74805524,88438260,260157131,130376065,260754555,102440319,88438226,88438227,93244675,93244676,107647476,93244674,79128965,74805511,74805512,79128957,79128956,93244668,102440318,258917839,62008648,62008649,74805478,79128975,79128967,65773668,53716266,43203922,34116803,34116802,43203919,53716274,257853897,43203912,43203913,53716262,44801966,35377299,27252550,27252549,256765773,55709057,68106079,81595329,81595328,79128964,65773666,65773665,68106091,55709065,55709066,68106093,259182401,95628565,109832394,98124068,84228663,70675169,269767298,98124071,112084520,123971871,123971870,109832392,109832393,109832402,123971874,260488888,125919040,125919041,139268472,137653401,123971875,112084516,112084515,125919039,136360332,136360330,122375972,260960799,136360329,122375980,107949408,260363659,107949398,93511960,79375191,79375190,93511958,107949395,93511963,79375194,79375195,259745025,93511978,79375207,66006861,53936278,43409173,34307753,34307752,43409169,53936270,66006845,79375181,79375202,79375201,271118739,93511942,79375176,79375177,271118737,103859548,118004121,103859561,103859560,107949381,122375962,131831399,118004132,103859557,103859558,107949376,122375966,118004130,103859555,89755925,89755924,103859553,118004127,131831392,145090278,149626277,136360328,131831390,118004126,103859551,89755922,89755923,93511926,79375167,79375166,93511923,93511922,107949370,122375958,136360317,149626268,161923609,272952137,145090280,131831397,131831396,145090283,157524862,145090276,131831388,118004124,118004123,131831387,145090275,272462500,122375956,122375955,136360316,149626267,156231302,156231303,143702233,130376078,116537504,116537503,130376076,143702229,156231301,167824309,178265671,175328116,164563800,152725959,152725957,164563798,164563812,152725966,140031400,126678380,126678379,140031398,152725963,164563802,262182742,164563815,152725968,140031402,126678382,112821404,112821403,259934960,140031410,270813866,112821417,112821410,112821409,126678388,138737545,125414027,125414028,138737547,140031408,140031403,126678385,126678384,126678375,126678376,126678393,126678394,271308330,112821406,112821405,112821428,98830401,257453526,71331450,84904167,98830399,112821427,126678408,128002209,114114770,100081712,86115158,72515980,59781817,59781816,258773053,83838982,70313995,70313996,83838984,86115162,77927993,77927992,70314005,57623402,57623401,65930205,269144303,43339085,53863528,58435237,47060044,47060043,58435234,47060040,37168396,37168397,257443111,257443113,37168400,37168401,47060037,37168402,256862834,10659810,10659809,15420345,21408583,28651240,37168387,47060028,58435225,259304587,271488105,89755945,89755946,75977060,75977061,89755950,81091870,81091871,81091867,81091866,81091875,67626310,55288348,44444214,44444215,44444216,258528953,62994348,51315279,51315280,62994351,75977056,62994338,51315271,51315270,258341273,62994324,51315257,51315258,62994328,75977048,75977004,75977005,89755895,103859514,103859515,89755897,75977006,62994283,51315216,41131748,41131751,51315222,51315260,51315259,62994275,62994276,75976999,62994285,51315217,51315218,62994286,258966765,103859527,118004100,131831363,145090257,145090258,157524855,145090263,145090262,131831409,118004140,103859570,103859571,271943499,145090287,150542807,137513995,123791929,123791928,123791946,123791947,123791941,109604164,95352023,95352022,109604163,95352025,81295895,259173005,95352037,95352015,81295881,81295880,81295906,81295905,95352018,89755879,81295883,67830075,55488903,44638930,35254396,27155391,27155392,35254398,44638933,35254414,35254415,269196799,67830079,55488918,55488904,55488905,55488916,55488917,257324699,35254413,268341271,268831531,44638937,35254406,27155398,27155397,27155393,27155394,35254401,257324697,44638925,35254394,27155390,27155389,35254393,27155401,20243884,20243883,20243888,14526185,14526184,20243886,256232657,44638944,44638896,35254366,35254365,44638894,256232661,20243901,20243902,20243900,14526192,14526191,268177623,14526180,20243878,20243960,20243958,27155402,20243973,14526238,9995040,6568825,4114985,254216033,1422819,2461379,4114983,6568822,9995035,14526232,20243962,27155493,35254474,27155458,20243933,14526212,9995024,6568816,6568815,9995022,14526206,20243920,256232669,27155427,27155426,27155436,20243957,20243956,20243971,14526237,9995037,6568823,254695165,255338911,14526208,20243924,27155444,35254457,27155449,20243927,20243928,27155451,35254468,35254505,27155501,20243969,20243967,20243968,27155499,27155503,27155504,35254451,27155442,27155443,35254454,44639000,257324723,39729446,31050786,23566698,17255354,17255355,23566701,17255358,12135437,12135438,17255360,23566706,31050798,39729458,35254476,27155459,20243935,14526213,14526214,255756171,35254480,31050790,256498953,49748322,269389193,257045451,35254490,31050792,23566702,23566703,31050795,39729454,49748325,61227410,67830239,59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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10215576, s2 = 11655952, dlinesl.size( ) = 2 s1 = 10215576, s2 = 11655952, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10215576, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 4159985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4159985, s2 = 5595636, int(edited[s2]) = 0 s1 = 4159985, s2 = 5595636, d1 = 32, d2 = 31 Dl.O(d1) = 155665801,143114116,129784128,115885818,101841227,87868959,87868958,270902377,85774309,271334200,29569702,29569701,38135960,38135968,38135967,48049506,53716646,53716647,65774033,79129312,85774319,99727979,99727981,258746917,66009887,66009888,79378108,93514599,260363833,136361923,262061503,173076343,173076345,262447326 Dl.O(d2) = 147755182,160018661,262952665,190108331,190108329,181292448,171255227,160018659,261466001,134624483,147755194,160018675,171255243,181292462,171255239,171255238,181292461,181292455,181292456,181292450,171255231,171255232,181292453,190108338,197720145,197720146,197720148,190108327,190108328,190108335,264072625,204206555,197720143,190108323,190108324,197720144,204206557,209618664,204206550,197720141,197720140,204206549,209618663,214059805,217705831,220749213,223340311,225580564,223340314,265485501,223340309,220749210,220749209,223340307,225580556,227529254,265799479,229233293,229233294,227529261,227529260,229233296,230739644,232082048,230739636,229233285,227529248,225580553,225580554,227529251,229233289,230739640,230739645,229233298,229233284,265936891,229640870,229640879,230739638,229233301,227529269,227529268,229233300,229640880,228006735,226145558,225580561,225580562,227529259,226145549,226145550,224006642,221537963,221537962,224006641,226145553,228006726,265649499,223340321,220749225,220749224,218658081,218658080,274421878,265649497,223340316,220749223,217705841,214059817,214059818,211083628,206002720,199858078,199858077,197720160,190108348,190108347,197720158,264372533,211083625,211083624,214059822,214059821,217705846,215236788,211083621,211083622,211083611,211083610,211083627,264711557,218658079,215236781,211083614,206002706,206002705,211083612,211083616,206002709,199858066,192589544,184142923,184142924,192589546,199858070,199858075,199858076,199858074,199858073,206002703,199858071,199858072,261829322,174498351,163665250,163665249,174498348,163665255,151790254,151790253,163665254,174498359,184142933,192589549,184142931,174498356,163665252,151790252,139086723,125745830,125745831,139086725,151790256,163665259,174498361,174498342,163665244,273088365,151790249,139086721,125745828,111926027,111926026,125745827,260780473,103250350,89159952,84112189,84112190,84112351,70576251,70576250,72413046,72413045,59677794,59677793,53106727,53106726,65093352,78377108,84112346,75412025,62493148,57875446,57875447,70576219,84112216,70576040,70576039,84112214,70576216,57875445,46519958,46519957,57875444,270277875,57875525,257405873,46520020,57875506,57875511,70576213,70576261,257405875,36653033,36653034,36652767,28177052,28177051,28177314,28177313,36653023,28177322,268200043,10402477,6857262,4303471,2572994,1481437,1481438,2572995,4303473,6857271,10402453,15081395,20995697,20995679,15081356,15081355,20995676,256288245,28177191,28177098,20995595,20995596,28177103,36652814,33177691,33177690,28177236,28177235,36652955,46519731,46519734,36652863,28177154,20995736,15081407,10402461,10402460,10402447,6857247,4303463,2572988,1481433,1481432,2572983,4303454,6857230,10402416,15081341,255373925,15081390,15081391,15081392,20995720,28177263,36652870,36652869,28177199,28177198,20995801,20995624,20995623,28177133,256826523,36653071,36652975,33177767,33177671,25434120,25434119,33177668,33177662,25434110,25434111,28177232,28177231,28177219,20995695,20995694,28177217,36652937,28177248,20995712,15081380,10402443,6857244,4303461,4303460,267959017,15081368,255800381,36652876,46519822,257197113,33177647,42135393,256288241,28177171,25434150,18839124,13422380,9177082,6006479,6006478,9177080,13422375,18839116,268374835,20995639,15081324,254716235,6857227,10402409,15081330,20995646,255260331,9177073,6006475,3756483,254444085,9177070,13422362,18839091,25434101,25434203,33177752,42135472,36652926,28177207,28177206,36652924,46519889,57875369,270277867,36652846,33177847,33177846,33177730,25434183,25434185,25434125,18839106,13422406,9177095,9177094,13422402,18839163,18839201,13422431,9177109,6006496,3756494,2249902,1305337,1305338,2249904,3756498,6006504,9177120,13422455,18839239,25434202,18839169,18839171,13422413,13422414,18839179,18839224,255662849,25434224,25434154,18839127,255662841,18839251,18839250,18671459,18671457,25241225,32962712,25434274,25434275,268745543,33177678,25434127,25434128,32746740,25055622,18517913,18517897,18517898,25055596,25434342,25434341,25055615,25055616,32746734,32746721,32746720,33177872,33177871,41657165,32746716,32746717,41657166,32746701,25055584,18517891,13157153,13157154,18517893,25055588,25434309,256642033,255662863,13422493,18839297,25434346,33177902,25434355,25434354,33177916,42135631,52492509,59472979,48082355,38169532,29602564,256394289,48082332,59472939,59472950,48082339,48082338,51551616,41329532,41329533,256391110,38169527,42135624,42135623,52492463,268222992,77533325,72210685,72210684,72210639,59472916,48082316,38169494,38169495,41657102,32746647,32746645,41657096,35320766,35320768,44746531,55654528,63780672,51964976,41657128,32746665,25055564,18517877,18517876,25055561,268223635,16114837,22252953,29602568,38169518,29602557,22252947,22252946,29602555,38169516,48082345,59472958,59472919,59472917,72210642,76890912,63780612,60642197,60642198,73388668,62485978,50886656,50886655,59472926,63780637,51964940,51964939,258372911,51964942,51964941,63780639,76890951,90770185,81538059,81538058,76891012,63780730,51965072,41657235,41657234,51965070,51964953,51964952,63780648,75404116,89151203,75404103,62485917,50886593,50886594,62485919,62485970,62485969,75404146,89151237,103241212,258974300,259436958,52530322,52530321,64403701,70750036,70750035,84112212,70576037,70576038,76613956,63534081,51755397,51755395,63534077,63534089,63534091,76290072,63269464,59700682,51418642,51418643,63115444,76120912,84112372,97986932,269460338,63269611,63269612,76290085,63269477,63269478,59700685,48313807,38403039,38403040,48313811,59700688,72436555,72436556,63115429,51418630,51418631,63115431,76120894,89926934,85651287,72436585,59700701,59700703,72436587,75404122,75404124,76290069,63269462,257410876,51551739,63269459,51551911,51551688,41329600,32482445,24840898,18345673,13023640,13023639,18345671,24840893,268701528,32482280,32482279,40769281,41329589,256569250,53112253,42660349,269098619,53112269,42660372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4159985, s2 = 5595636, dlinesl.size( ) = 26 s1 = 13492453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8356629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8356629, s2 = 7605785, int(edited[s2]) = 0 s1 = 8356629, s2 = 7605785, d1 = 68, d2 = 122 Dl.O(d1) = 86405028 Dl.O(d2) = 260991201,150384937,162516677,168956343,157490822,269090102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8356629, s2 = 7605785, dlinesl.size( ) = 14 s1 = 7607994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352544, s2 = 8719368, int(edited[s2]) = 0 s1 = 10352544, s2 = 8719368, d1 = 86, d2 = 125 Dl.O(d1) = 260759772 Dl.O(d2) = 210553630,214786306,218269280,218269284,218269283,274325843,265132580,218269282,274390692,265132580,218269282,221195172,218269284,214786308,264414346,199114722,263424228,263016791,191714634,263424230,162166991,261539806,259766474 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659096, s2 = 9592756, int(edited[s2]) = 0 s1 = 11659096, s2 = 9592756, d1 = 37, d2 = 45 Dl.O(d1) = 142549482,142549483,155193120,166884835,173608439,173608440,173608442,260857318,137412285,137412284,142549474,155193109,260857316,123681662,109490302,95237385,81182230,67717365,55377582,256894300,29305320,21977732,15882861,15198731,15198732,21154039,28371005,28370447,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949332,23222406,30644880,25960693,25960692,30641495,23218234,16945701,11860029,7926490,7926487,7926595,7926452,7926456,11859829,7926385,7926383,11859823,15027452,20935548,17169008,12072031,8117864,5200682,5200683,8117866,12072038,14487135,14487137,20190935,27089140,28369720,21152828,21152829,19104709,13640368,13640367,19104706,25737724,30645600,23223332,16950163,11862935,7928123,7928124,11862939,11861650,11861649,16945379,11859841,11859842,16945382,15970176,15970177,256922409,271329659,133075249,146302822,158670800,170028308,173178308,262065377,136719392,122887378,108622957,108622958,122887382,136719398,149861952,162075947,173178315,183032433,191645290,191645356,183032478,262558517,261533377,122887396,259759527,80279205,80279207,94335620,108622974,122887402,136719426,149861973,262558521,183032484,187140650,177869316,167373655,167373653,177869313,187140646,195211507,202110866,202110864,264565895,264913217,221160714,274211413,207910122,202110809,264286769,207910330,202110984,195211556,187140675,187140676,195211557,202110986,207910332,212689514,214741655,218229832 Dl.O(d2) = 191643097,183029924,173175656,162073021,162073022,173175658,173175655,162073019,149858769,256722768,108618984,108618986,121000211,121000210,134796580,147914817,270110522,271144784,181402025,190203528,197803375,197803373,197803374,202096929,195196114,262090066,167353918,155719679,143165779,129834197,258536714,87913941,87913942,101888325,271171340,272463172,262581934,177850876,167353923,261560126,187123764,273889595,264926146,216585559,212677791,264132784,273621952,197319410,273224950,180740155,170612032,159277950,146908328,133655775,119785983,105552621,257734838,84677233,256594636,77416161,64266190,64266189,268717678,78268360,71145199,58423501,47048720,38632805,38632804,47048711,37158160,35431854,35431853,44870680,47515526,256618750,44818926,37158169,36656987,36656986,46524534,57880674,48915464,38991932,254198896,16758768,15361425,13219545,9012014,9012012,5883531,4980572,4540183,4540184,7206324,9049032,9049029,13261821,18650702,17347854,12220699,8250714,5322437,5322438,8250720,12220716,17347882,23665508,21334682,254619248,10613107,15361428,21334684,254289596,52164941,63994037,77119202,255620080,268713408,75934142,75934141,89713389,102090340,88103444,258275087,50227937,40206616,31520833,24019508,17670593,12495771,8464054,5469822,5469821,5469816,5469814,8464047,12495763,17670586,17673483,15128221,10434339,6878857,267846253,1978470,1978469,3364326,5469715,8463931,12495621,17670411,24019316,31520665,256556320,31518995,24017488,24017490,31518998,31527022,40211579,31525679,24023763,24023764,31525686,31525739,31525732,31525731,40211637,40208943,31523269,256535815,40208465,40208466,40208055,31523056,31522268,24020781,17671583,17671582,17671731,12496540,12496538,17671725,24020987,24020802,24020801,31522301,29589703,29589704,38156042,40208022,50229212,40208482,40208103,40208104,40208641,40208811,40208527,31522797,31522796,40208524,39411222,39411225,268103234,40208298,40208870,40208805,31523090,24021507,24021505,31523088,40208800,40208745,31523021,24021444,24021442,31523018,39416019,30810897,30810895,39416015,49345573,60748530,255081930,50229654,40208780,38156485,36594432,36594433,36617102,36617103,41955068,33012808,25287800,25287799,33012802,33012994,33012993,41955250,41952589,256393006,31523141,28143224,20964876,15055192,15055193,20964878,25285401,33010359,33010332,25285389,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,13319012,13319011,18712347,20984609,20984612,25285233,254647898,255257576,33012913,31539401,31539400,33106175,32953763,25233937,25233936,23478980,268140245,9080431,5938741,5938744,9080444,13298807,18691956,13303293,13303294,18696345,23479107,18695743,15094047,10410273,6865695,6865696,9613011,9613012,13304483,9613017,9086057,9086058,9086082,5943287,5269920,5269919,8199440,12167769,9096343,9084862,9084864,12091952,13319335,13319336,15101138,15101139,17197215,17197214,13315756,254643945,5951201,9096382,13315758,18708875,25281546,33006340,38867581,38867583,46881350,58248577,58248591,58248598,48386946,38484257,37002640,31778338,24265836,24265837,31778340,32768930,25072069,18529653,18529652,25072068,32768927,40208856,31523142,31523143,40208858,34286821,34286820,43385861,53910056,65976909,74310903,87914682,74310893,61533561,50054386,40034456,258261133,79341316,65976905,53910054,53910055,65976891,65976892,269823950,72241640,72241641,59507013,59507014,61533567,258883825,101888902,115935123,261205624,87914727,86389955,258636774,38737978,38737977,48659254,60055785,72794249,259416443,114371432,128248910,141600087,141600088,143166316,141600123,128248942,114371455,100347077,100347078,100347083,114371463,128248950,141600136,154256612,154256694,141600203,128248998,128248999,128248976,128248975,141600173,154256652,166009588,176650604,186066655,176650652,166009641,154256707,141600217,261063348,100347103,100347102,114371500,128249006,141600215,154256629,141600166,141600164,141600142,141600141,262270205,170012792,158654310,146285999,133058397,119228198,119228167,105035569,90856632,76978232,76978231,90856630,105035565,119228161,126659850,126659851,126659869,112801081,98808225,98808224,88190827,74575064,71304760,58572817,58572818,71304763,58572819,52632611,42247356,33267939,33267940,33268034,256648283,26059136,19377607,13860910,9508441,6236400,3904329,3904326,6236384,9508400,13860832,19377495,26059055,33882446,35394292,41725766,41725768,48443926,52040780,52040779,52040373,52040374,63859741,63859480,63859481,52040276,41725180,257173417,41725334,52040407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659096, s2 = 9592756, dlinesl.size( ) = 24 s1 = 6892568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9129982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9129982, s2 = 9537523, int(edited[s2]) = 0 s1 = 9129982, s2 = 9537523, d1 = 0, d2 = 0 Dl.O(d1) = 38701863,38701862,48616778,60007017,72742474,79251057,258324794,50815349,50815348,62392982,75285522,259561725,117185883,130987604,144233396,156666703,167605797,262187082,116214190,102152790,88161741,74546804,61763096,50283359,40262372,31575224,31575223,40262370,50283357,61763093,74546802,88161740,259321174,66851748,54592773,43848166,34576345,26589151,256197319,21049929,21049930,28250283,23840714,17500375,17500374,21049901,28250247,36745847,256084140,70723287,84274807,98169986,112131646,112131643,112131644,125968155,139320080,152028316,261384026,179971547,179971550,179971548,169784398,158409724,146031679,132799317,118966623,104774421,90602393,76736330,63645081,51852274,268729989,32671636,41565078,51852277,44469059,269637489,123629056,137361237,150402494,162532820,173565616,183361992,191926012,191926013,199293158,199293159,199293160,205526317,210682495,214894506,218360277,218360278,221272577,223767251,225929896,225929895,224418445,222000019,219184172,215848534,211815885,211815884,215848532,219184171,215848530,211815881,206879277,200903893,200903892,206879275,211815883,206879278,200903894,193821855,185561835,185561834 Dl.O(d2) = 38701863,38701862,48616778,60007017,72742474,79251057,258324794,50815349,50815348,62392982,75285522,259561725,117185883,130987604,144233396,156666703,167605797,262187082,116214190,102152790,88161741,74546804,61763096,50283359,40262372,31575224,31575223,40262370,50283357,61763093,74546802,88161740,259321174,66851748,54592773,43848166,34576345,26589151,256197319,21049929,21049930,28250283,23840714,17500375,17500374,21049901,28250247,36745847,256084140,70723287,84274807,98169986,112131646,112131643,112131644,125968155,139320080,152028316,261384026,179971547,179971550,179971548,169784398,158409724,146031679,132799317,118966623,104774421,90602393,76736330,63645081,51852274,268729989,32671636,41565078,51852277,44469059,269637489,123629056,137361237,150402494,162532820,173565616,183361992,191926012,191926013,199293158,199293159,199293160,205526317,210682495,214894506,218360277,218360278,221272577,223767251,225929896,225929895,224418445,222000019,219184172,215848534,211815885,211815884,215848532,219184171,215848530,211815881,206879277,200903893,200903892,206879275,211815883,206879278,200903894,193821855,185561835,185561834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9129982, s2 = 9537523, dlinesl.size( ) = 2 s1 = 9129982, s2 = 9537523, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9129982, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7880805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880805, s2 = 10348353, int(edited[s2]) = 0 s1 = 7880805, s2 = 10348353, d1 = 11, d2 = 25 Dl.O(d1) = 258671718,10608346,15355362,21327152,28551806,37051692,46929707,54639827,255926446,53717104,257215994,19535035,13987433,9608808,6311332,3955635,2368810,1371260,780546,442562,442560,780535,1371234 Dl.O(d2) = 257653772,46373671,36514720,28050469,28050470,256812903,57723822,271506359,270969365,75612894,258950363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880805, s2 = 10348353, dlinesl.size( ) = 14 s1 = 3058426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8278663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8253616, s2 = 6537395, int(edited[s2]) = 0 s1 = 8253616, s2 = 6537395, d1 = 52, d2 = 21 Dl.O(d1) = 269872352,52241511 Dl.O(d2) = 94338429,255707152 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7951050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2754037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2754433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3061872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3061872, s2 = 3058412, int(edited[s2]) = 0 s1 = 3061872, s2 = 3058412, d1 = 3, d2 = 10 Dl.O(d1) = 94414710 Dl.O(d2) = 108629467,94342528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3061872, s2 = 3058412, dlinesl.size( ) = 2 s1 = 3061872, s2 = 3058412, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3061872, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6571811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8435107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8212050, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3063204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658716, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3063343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9529682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9529682, s2 = 2757271, int(edited[s2]) = 0 s1 = 9529682, s2 = 2757271, d1 = 0, d2 = 0 Dl.O(d1) = 49450271,39518195,30909188,23473675,17192196,17192195,23473672,30909185,39518194,40003269,31325478,23834745,23834743,25545985,33307602,42287673,40450739,31755857,24244177,17868038,12653323,268119319,21090717,15149645,10448366,255016061,268376963,36795814,46681676,58055770,70773759,259276263,98239857,112218259,260383132,94459456,80400208,66970006,54710892,54710891,256206068,72931990,60192591,254967006,48795840,38873503,30287715,23730824,23730825,31215252,26679182,26679183,25371626,25371627,33106582,31727501,31727498,40419231,50453536,42055592,33106576,33106577,42055593,52399564,55679726,44770855,35345451,27222040,268021270,16297032,20869305,14967034,10299293,6771918,6771914,10299289,14938964,10274505,10274504,14484003,9965596,9965597,14484005,20187331,255154588,254576526,18540069,18540070,14975277,14975278,19101918,19101912,25734638,254484730,28037194,20869142,20869143,20869151,20869152,17847143,12638458,8580911,5575193,5575194,8580912,254709348,18890933,18890932,22730823,22464369,22464368,28893304,28166818,20986691,15074097,10397006,10397004,15049079,15049081,20958031,16515953,11510179,7656951,6838196,4290521,4290519,6837838,6837836,10377218,10377235,10377237,6838081,6838082,10377562,15051441,20960791,28138853,36612470,46478661,57834542,70535991,58562995,47173985,37267951,28735967,255406975,15476253,21478815,28735970,29646464,268224353,11219629,11219628,11244551,7463938,4716758,4716759,254774505,11244552,16177711,22323025,29674106,38239079,48148430,59535407,59535406,72269437,72269439,72269438,85861195,99814638 Dl.O(d2) = 49450271,39518195,30909188,23473675,17192196,17192195,23473672,30909185,39518194,40003269,31325478,23834745,23834743,25545985,33307602,42287673,40450739,31755857,24244177,17868038,12653323,268119319,21090717,15149645,10448366,255016061,268376963,36795814,46681676,58055770,70773759,259276263,98239857,112218259,260383132,94459456,80400208,66970006,54710892,54710891,256206068,72931990,60192591,254967006,48795840,38873503,30287715,23730824,23730825,31215252,26679182,26679183,25371626,25371627,33106582,31727501,31727498,40419231,50453536,42055592,33106576,33106577,42055593,52399564,55679726,44770855,35345451,27222040,268021270,16297032,20869305,14967034,10299293,6771918,6771914,10299289,14938964,10274505,10274504,14484003,9965596,9965597,14484005,20187331,255154588,254576526,18540069,18540070,14975277,14975278,19101918,19101912,25734638,254484730,28037194,20869142,20869143,20869151,20869152,17847143,12638458,8580911,5575193,5575194,8580912,254709348,18890933,18890932,22730823,22464369,22464368,28893304,28166818,20986691,15074097,10397006,10397004,15049079,15049081,20958031,16515953,11510179,7656951,6838196,4290521,4290519,6837838,6837836,10377218,10377235,10377237,6838081,6838082,10377562,15051441,20960791,28138853,36612470,46478661,57834542,70535991,58562995,47173985,37267951,28735967,255406975,15476253,21478815,28735970,29646464,268224353,11219629,11219628,11244551,7463938,4716758,4716759,254774505,11244552,16177711,22323025,29674106,38239079,48148430,59535407,59535406,72269437,72269439,72269438,85861195,99814638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9529682, s2 = 2757271, dlinesl.size( ) = 2 s1 = 9529682, s2 = 2757271, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9529682, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2757272, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9498252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9498252, s2 = 2757432, int(edited[s2]) = 0 s1 = 9498252, s2 = 2757432, d1 = 7, d2 = 7 Dl.O(d1) = 263426148,186103182,263183824,262273906,136856412,260638100,260037894,80402639,66972175,66972174 Dl.O(d2) = 263426148,186103182,263183824,262273906,136856412,260638100,260037894,80402639,66972175,66972174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9498252, s2 = 2757432, dlinesl.size( ) = 2 s1 = 9498252, s2 = 2757432, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9498252, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 3063893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6893574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6893574, s2 = 13493660, int(edited[s2]) = 0 s1 = 6893574, s2 = 13493660, d1 = 117, d2 = 98 Dl.O(d1) = 259769729,80442194 Dl.O(d2) = 256193183,19725307,19725306,26481410,34389084,43462383,54015366,66114109,63086080,51394621,51394620,43462380,34344344,34344345,41202959,256594370,63087748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6893574, s2 = 13493660, dlinesl.size( ) = 46 s1 = 8485086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6897017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6897017, s2 = 14182523, int(edited[s2]) = 0 s1 = 6897017, s2 = 14182523, d1 = 13, d2 = 25 Dl.O(d1) = 259838800 Dl.O(d2) = 13129906,13129904,8948672,8948673,13129905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6897017, s2 = 14182523, dlinesl.size( ) = 14 s1 = 6893772, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7622312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655996, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8002829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6742266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13336091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2641711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2641711, s2 = 8069578, int(edited[s2]) = 0 s1 = 2641711, s2 = 8069578, d1 = 9, d2 = 13 Dl.O(d1) = 74507953,74507955,81034761,95092751,109346071,100216600,95093077,81035222 Dl.O(d2) = 258652606,26912582,257303461,256336504,55222756,256979478,20027666,20027665,26911912,26912082,26912085,34993466,44371888,44370740,44370738,44370742,44370743,44370610,34992201,255737769,14344214,14344215,20026824,26910921,268546847,34993715,26912467,256212341,23339167,17073021,17073020,20028314,20028315,26912733,31161675,23673228,23673230,31161682,39844359,34993630,34993628,26912469,26910692,26910693,26911137,20027017,14344377,9855085,9855084,14344372,20027014,26911131,20028080,20028081,26910539,34991690,39841674,31159016,31159015,34993223,34992476,26911158,20027031,14344387,9855090,6473554,6473555,9855093,14344394,20027047,26910551,20027646,14344846,9855399,6473749,6473750,9855402,14344849,255322413,26912737,26912742,20028321,14345340,14345341,20026906,14344273,14344271,20026902,26911021,20028289,14345313,9855748,9855749,14345317,14345079,14345081,9855646,9855645,14345164,20028076,26912416,23670857,23670856,31159025,39841683,34993924,26912514,20028184,20026682,14345235,14345234,20028127,14345214,14345215,255737931,17351919,255551761,20027633,20027632,255531545,11984991,8034897,5124613,5124612,8034894,11984985,268244473,255737751,20026691,20028286,14345311,14345312,14345083,9855584,9855583,9855609,14345111,255322421,255163723,8252925,5323982,3272212,1924542,1924541,3272210,5323977,5323988,3272214,1924543,254267419,5323984,8252929,5324749,5324750,8252922,9855129,254969617,6473572,4056798,2428251,1404699,1404698,2428247,4056789,6473558,9855103,14344365,14344925,9855450,254468309,4056907,6473778,9854955,9854956,14344204,20026812,26910905,34992051,34992054,38919885,38919884,46332100,36476562,28015855,20849955,20849956,28015857,36476565,46332104,44370474,34992076,34992074,256877898,55221609,55221608,67565109,55221698,44370578,36476566,255785047,10283839,10283838,14949672,20849954,28015852,36476558,28015911,28015910,36476630,46332169,48235596,48235595,46332033,46332034,57678836,60234616,48840313,38919868,30333534,30333537,38919875,44370423,55221561,67565075,70370666,67566268,55223100,55223099,59442412,67566535,67566534,81034123,67565164,67565163,59534451,48147462,48147463,59534453,72268426,70370689,57678944,57678778,46331965,46331966,47613254,59017550,71401614,58667002,58661223,255844480,36964633,36964632,46843465,58211504,70928740,84493022,72268405,59534436,48147448,38237967,29672736,29672735,28819303,28819304,256336462,58660545,58660370,47270107,47270106,58661241,61345634,59377020,47986673,38073933,29509726,29509729,38073943,29771372,22407732,22321440,16176131,11243205,7462923,7462922,11243199,16176116,12222405,8252017,5323350,5323349,8251994,8251995,12222355,15531266,10741558,7096961,7096960,10741553,15531257,21549686,28819036,29771742,22408060,22408062,22408037,16244710,16244712,17350102,21819113,21819114,29126001,37688087,37359742,28820660,28820659,37359766,30020797,30020795,38593517,48508398,255470816,29771383,29771384,38342760,48147468,48147466,39838778,31155990,23668174,17349890,17349889,23668172,23668612,17350229,17350230,20027216,23668151,255411920,39839152,31156498,23668608,23668607,31156494,37358741,37359177,28819411,21550018,21550019,28819412,37359179,255411908,255092230,38593561,39838783,38341652,29770207,22406733,22406732,29770205,22407822,16244558,16244556,22407819,22407820,29771489,30005404,29771512,22407840,22407839,29771509,31155428,31155344,23667527,23667528,29771400,22407766,22407765,22635437,22635439,30005325,29771524,22407847,22407848,16447601,16447602,22635472,30005369,38576152,38341943,38341942,48252577,48489266,48252703,38342092,38342091,48252701,38342797,29771418,22407773,22407771,29771413,38342793,38342818,256407376,39839594,39839332,31156579,31156583,27139276,20231958,20231959,27139278,256757047,39206748,49133725,49863171,49862202,256506335,31155749,31158089,31158090,23671370,23671371,31159795,31163353,23674871,17355169,12226056,8254602,8254603,8253117,8253116,12223947,17352343,23670006,17351298,17351297,17348929,17348930,23666946,17351281,17351280,17349213,17349214,23667332,256506287,33727210,25920517,23670075,17351364,17351365,256002121,23666882,17348884,12221451,12221452,17348885,17348945,255164035,3273057,254183887,1099928,1925105,3273061,5322867,5322868,5324022,3272241,1924558,1924556,267771641,1099582,617139,343035,188170,188171,343036,617142,1099590,1924585,1099643,1099644,1924097,1099271,616968,616969,1099276,1099244,1099246,1099610,617151,617152,1099614,1924615,1925053,1099895,617348,343135,343136,617355,1099908,1925071,3273019,5322956,3271422,1923991,1923992,3271426,1925197,1100003,1099964,617385,343157,254105407,343146,617372,1099936,1100032,1925240,3272053,1924544,1924545,254586773,3271656,1924159,1924158,3271651,3271456,3271457,5322989,8251193,8251194,254397885,1924630,1099622,617161,343044,343043,617158,1099520,1924487,3272129,5323882,8252788,5324183,3272365,1924641,1099629,1099628,1924636,3272354,3271749,3271748,1924387,1099461,1099459,1099478,1099479,1924430,3271632,1924495,1924496,3271305,3271306,3271723,3271311,3271310,3272200,5323967,8252902,5324057,5324059,8253030,8253871,5324814,5324174,5322994,3271462,3271463,5322995,3271555,254183777,1099261,1924073,3271554,5323125,5323128,8251733,267995665,254841189,17353078,17353271,267995669,8253676,12224682,17353273,255552037,8254359,5324988,3272947,1925020,1925019,3272939,5324976,8254341,7118851,4482215,4482216,7118856,10774162,15575496,21603321,28878641,30029556,23674112,23674111,23674193,17354615,16842923,16842922,23098958,22535690,22535691,28878619,28878618,23672663,17353359,12224749,12224744,17353351,17354562,13454362,9200940,9200941,13454365,17354798,17354795,23674410,31162676,31161103,23672688,23672686,17354568,12225649,8254334,5325019,3272964,1925028,1099885,1099886,1925034,3272974,5325034,8254432,12225802,17354720,12225750,12225749,17354736,23674312,23674438,31162939,31162743,257053841,39493812,30887558,30887557,39493810,39845321,256930242,25482468,25482467,23671665,17352483,12224061,8254328,5324968,5324969,4991813,3015645,1752112,1752113,3015647,4991818,7864331,11778755,16842956,17354745,17354746,23098951,255131587,7864321,4991811,4991810,7864319,11778733,16842916,17354574,23674148,256002511,17177958,17177957,23455604,30887553,268618425,21603297,15575483,15575485,21603301,28878626,37420252,268442444,23099007,16842952,255516033,256461913,46286734,36433671,27974826,20811256,20811257,26982318,20093368,20093370,26982320,35065778,27290061,20919299,20919297,28093703,28137768,34184460,28049772,254710356,20881362,28049814,36514041,255004084,46831325,36953218,28452849,21225975,21225976,28452854,31674939,25340400,24165447,17797690,12598140,8549079,5547688,5547687,8549077,12598133,255587099,31674945,28452838,21225968,15255816,15255817,21225971,28452844,22099188,255885779,31674976,31674975,31674964,31674963,40369476,257677745,53724308,52844372,42439706,33446625,25675843,25675844,33446627,42255039,37874091,29305003,21977394,21977393,29305001,37874088,38608210,38608211,48523611,38608086,30033878,22658894,22658893,30033877,30033986,38608230,38608279,30034033,22659015,22658888,22658889,22658943,16465116,11472048,11472038,7630609,4827686,4827687,2909243,1687756,959865,959864,1687754,2909239,4827695,4827708,2909246,2909247,4827709,7630643,11472093,16465202,22659076,28968619,28968620,22658878,22658879,21686739,15647724,15647725,16465108,15176553,15176552,21125133,16465142,11472061,255106315,11472063,7630624,7159330,4509115,4509114,7159328,10830552,15647718,21686730,28968615,30033917,22658927,16465105,254789307,7630612,11472042,16465107,11472060,11472034,11472035,16465097,22658916,16465114,11472047,255106313,22658940,30033933,30033885,30033884,38608098,255900296,58806991,58806992,64779186,59917262,52640423,42255026,42255027,52640425,64539526,72238460,59503401,268635310,256145959,25690494,255461720,52859542,52859559,42455612,33462618,33462619,42455615,52859566,58034309,49057885,49057884,59917279,48523661,38608139,38608138,48523656,59917272,59917288,59917289,64779195,52859571,52859572,64779198,256396760,48115632,255084348 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15730738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9148872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14247301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14247301, s2 = 14086232, int(edited[s2]) = 0 s1 = 14247301, s2 = 14086232, d1 = 21, d2 = 14 Dl.O(d1) = 39794617,49815310,61295049,49815306,39794615,39794616,49815307,49815295,49815296,61295033,74076764,87684082,101655686,101655685,87684094,74076777,61295046,61295045,258653202,78878837,92990504,92990508,258946576,121785327,121785328,129585814,142901568,155478985,161271300,167113066,155478987,142901570,142901569,135725877,135725876,148965433,161271301,172471472,177613025,182423382 Dl.O(d2) = 116534549,116534548,130373395,143699978,143699981,156229538,167822901,156229533,156229534,167822902,167822903,165302285,153507148,140826497,127466234,127466232,113590030,106577501,92279415,78252321,78252322,256740194,113590037,113590036,101956934,87983999,74381469,269400943,50125053,50125059,40104879,31424947,23934314,23934313,31424946,40104877,50125056,61604977,73351344,60606313,60606312,73351342,86962842,86961178,86961179,100832126,100832125,95132373,81073816,73238341,257590409,44416082,44416083,55263734,49088288,39158597,30561240,23144128,23144129,30561242,257009719,60491524,60491532,60491531,60491533,73238348,73238344,60491520,60491521,73238346,85875291,85875292,99829349,109360584,95106422,81049051,67581280,67581279,67583180,55241316,44392648,44392649,48161983,38252847,38252846,48161981,256355114,84513312,98434764,100383168,86427511,72832527,60095248,48699176,38776941,30193051,22802842,16585809,11565987,7698250,4872220,4872221,7698252,11565990,9869114,9869115,14362443,14383924,9889553,6498268,6498269,6484063,4063077,2431643,2431642,4063075,6484059,4538167,4538165,7203217,7193922,4532090,2724279,1578641,897552,897551,1578639,2724275,4532084,254747525,15717769,20075611,14393172,254688705,4077121,4077122,2703179,2703180,254469257,4066028,2703071,2703070,4498425,6497188,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725133,4533442,254747761,10891158,10891157,15626546,15626545,10894540,10894539,11402072,11402073,11841632,11841633,9889891,6548745,4102641,2454076,1418646,1418647,2454078,4102647,6548753,254511125,4537065,7201400,10889706,10889703,10889704,15726073,15726074,15726075,21784720,29082507,37632805,29683621,29683620,38248505,48157616,59544484,48157619,48157618,38248508,29683626,29683623,22331956,16185401,11250646,7468314,7468313,11250645,16185393,11250638,7468309,7468308,7468310,11250640,16185392,22331946,29683614,29683619,38248500,29683617,29683618,38248503,35027625,35027624,257305867,44402999,46472352,57828497,70530080,70530078,70530079,256999872,47560279,37654515,29105175,29105180,37116844,37110629,28601760,21368425,21368423,28601754,28624196,28607190,28607191,28601793,28563838,28563839,21372660,21372662,21372725,21372727,21372619,15391900,15391898,21372610,28607013,36857942,28359958,21144729,21144728,28359956,30786815,30786814,29643399,24782157,24782160,19374766,19374767,26055700,33878766,42924374,53390338,65393613,78697920,91688169,105895248,120106639,133948291,120106638,120106637,120106635,120106636,133948290,147170569,147170568,133948288,120106634,105895244,105895242,120106632,133948285,147170564,134875321,260911718,106813040,121073013,272405959,159529781,159529782,170857958,166039383,166039384,154287415,141632272,141632269,128282154,114406158,100383154,86427487,72832500,72832501,86427489,86427512,86427513,86427490,86427486,72832499,72832498,72832502,86427491,100383157,114406162,107642982,93239666,79123403,65767777,53710955,43199254,43199255,53710959,65767785,65767793,79123424,79123393,79123392,93239651,107642953,93239641,93239640,93239646,79123396,65767773,53710951,53710952,65767774,79123398,259731319,260944783,262044711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14247301, s2 = 14086232, dlinesl.size( ) = 2 s1 = 14247301, s2 = 14086232, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14247301, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 2761622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2761622, s2 = 7678230, int(edited[s2]) = 0 s1 = 2761622, s2 = 7678230, d1 = 13, d2 = 11 Dl.O(d1) = 81055874,95113154 Dl.O(d2) = 272225871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2761622, s2 = 7678230, dlinesl.size( ) = 2 s1 = 2761622, s2 = 7678230, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2761622, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 9351770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9351770, s2 = 14119704, int(edited[s2]) = 0 s1 = 9351770, s2 = 14119704, d1 = 1, d2 = 1 Dl.O(d1) = 255914987,11333569,7531205,4764091,2871911,2871910,4764089,7374300,11118244,16013874,20060090,14375551,9881543,6492175,6492176,9881545,14375552,20060091,26945394,35026255,44401577,55249370,67590847,81058226,259782539,123560571,137292505,272778269,150334024,150334023,162468785,173507939,183309710,191879204,259883388 Dl.O(d2) = 255914987,11333569,7531205,4764091,2871911,2871910,4764089,7374300,11118244,16013874,20060090,14375551,9881543,6492175,6492176,9881545,14375552,20060091,26945394,35026255,44401577,55249370,67590847,81058226,259782539,123560571,137292505,272778269,150334024,150334023,162468785,173507939,183309710,191879204,259883388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9351770, s2 = 14119704, dlinesl.size( ) = 2 s1 = 9351770, s2 = 14119704, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9351770, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2430884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6878201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6878201, s2 = 10343360, int(edited[s2]) = 0 s1 = 6878201, s2 = 10343360, d1 = 17, d2 = 14 Dl.O(d1) = 259547642 Dl.O(d2) = 259155185,55251797,44403942,256215233,4069780,254214245,801291,454066,454067,254152793,2435314,4069813,6494979,9885181,14379248,20063496,25291620,18718043,13324480,13324481,9535170,268315439,15074861,16782112,23023129,23678976,17358710,12228781,8256565,8256562,10915129,15760647,21828504,29135607,37696328,38079213,38079212,47992045,47992103,38079280,29514631,254634258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6878201, s2 = 10343360, dlinesl.size( ) = 24 s1 = 13340615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13340615, s2 = 819828, int(edited[s2]) = 0 s1 = 13340615, s2 = 819828, d1 = 16, d2 = 19 Dl.O(d1) = 36644783,36644797,28169397,20988957,15075896,10398514,10398513,15075893,15075904,20988900,256287675,28169354,28169355,36644728,36644746,28169370,28169371,36644750,46512394,257405307,46512304,57868744,46512367,36644731,36644730,46512365,57868793,57868780,258015707,70570822,57868801,57868773,57868771,57868763,57868750,46512310,36644679,36644680,257405309,70570799,65551502,53526677,48302771,48302760,38392530,29820232,22452879,16283640,11324768,7520857,7520858,11324771,16283633,11324764,11324763,16283632,22452870,22452884,29820241,38392540,48302777,59689377,72424640,86021740,99982223,114007059,127886492,258870002,98183793,258247592,59689374,59689375,72424611,72424612,67594913,55253296,44405437,35030167,35030168,44405440,55253302,67594908,67594906,81062652,95120144,109373726,95120138,81062646,81062645,95120139,81062724,81062723,95120209,95120175,81062694,81062693,67594939,67594938,81062690,271168163,112525973,98531576,84607056,81062699,67594942,258526085,95120181,109373759,123564689,137296496,259455898,137296504,137296488,123564668,123564667,137296487,150337913,262081271,261792338,260671528,95120177,95120176,109373756,259455900,109373775,114074911,100048529,100048530,259455896,259455894,125742543,111922360,111922359,114074909,258196490,257007774,30530282,254811080,254557450,254249440,3018756,3018758,4994062,4995745,4996950,4996949,4991982,3015790,3013052,1750156,995225,560303,313716,313714,560298,995219,1750142,3013024,4988377,4996201,3018718,3018717,4995547,3018261,3018260,3019025,1754454,998288,562289,562288,998279,1754273,1754274,3018690,3019183,1754556,998338,998301,562294,562295,998113,998191,1754280,3018701,4996173,4995645,3018341,1754068,998079,562204,562202,998073,1754058,3018333,4995635,4988319,3012997,3012999,3013036,3013037,4988403,4996843,4996844,7859572,11772038,16833766,11787614,7871039,4996793,4996362,4995529,3018254,3018252,4995519,3019014,3019016,4996738,4996696,4996621,4996622,4996122,3018671,3018674,3018648,1754257,998180,998178,998060,998059,1754032,1754297,3018727,254172872,3018458,3018459,4993717,3016997,1753129,997347,997348,1753135,3017008,3018378,3018376,4995470,4991615,4991614,7864061,7869980,4995933,3018544,3018543,4995928,7869966,4997586,3019520,3019521,4997593,7869555,7861026 Dl.O(d2) = 36735871,255842244,36972830,28474868,256309853,46851532,58219388,269786420,268923172,28474868,21255233,15290629,10555664,6961957,6961958,10555666,268204749,256848833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13340615, s2 = 819828, dlinesl.size( ) = 2 s1 = 13340615, s2 = 819828, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13340615, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 13302569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8280311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3068463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3068463, s2 = 16075786, int(edited[s2]) = 0 s1 = 3068463, s2 = 16075786, d1 = 38, d2 = 65 Dl.O(d1) = 95127026,95127024,95127025 Dl.O(d2) = 112870724,112870725,126721804,140068782,152758561,164593356,175355131,263864999,206453001,211454852,211773458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3068463, s2 = 16075786, dlinesl.size( ) = 18 s1 = 13609393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8106178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1579412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3070286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3070286, s2 = 704008, int(edited[s2]) = 0 s1 = 3070286, s2 = 704008, d1 = 29, d2 = 49 Dl.O(d1) = 95158372 Dl.O(d2) = 17928924,24314636,28568765,37071323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3070286, s2 = 704008, dlinesl.size( ) = 2 s1 = 3070286, s2 = 704008, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3070286, Dl.E( ) = 70, 2.19e-05 seconds used appending s1 = 9407505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9407505, s2 = 11350574, int(edited[s2]) = 0 s1 = 9407505, s2 = 11350574, d1 = 1, d2 = 1 Dl.O(d1) = 49145714,49145715,46994378,37109159,28600484,28600485,37109161,46994380,47025476,37137200,28624380,21386711,15403093,15403096,21386719,28624396,28624538,35085143,44460374,55305308,67644167,81110438,259787033,123619211,137351845,150393545,162524403,173557697,183354306,191918568,199285996,205519501,210676290,214889094,218355777,221268816,223764041,225926931,227813733,265955045,230489538,228947992,227201105,225200782,222899263,220227000,217071257,213272338,208629305,202979523,196237478,188356046,179307072,169022300,157561458,145128816,131871949,131871948,118047534,118047533,103905892,89804970 Dl.O(d2) = 49145714,49145715,46994378,37109159,28600484,28600485,37109161,46994380,47025476,37137200,28624380,21386711,15403093,15403096,21386719,28624396,28624538,35085143,44460374,55305308,67644167,81110438,259787033,123619211,137351845,150393545,162524403,173557697,183354306,191918568,199285996,205519501,210676290,214889094,218355777,221268816,223764041,225926931,227813733,265955045,230489538,228947992,227201105,225200782,222899263,220227000,217071257,213272338,208629305,202979523,196237478,188356046,179307072,169022300,157561458,145128816,131871949,131871948,118047534,118047533,103905892,89804970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9407505, s2 = 11350574, dlinesl.size( ) = 2 s1 = 9407505, s2 = 11350574, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9407505, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3070880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3070880, s2 = 2557076, int(edited[s2]) = 0 s1 = 3070880, s2 = 2557076, d1 = 86, d2 = 58 Dl.O(d1) = 95172277,81116614,81116615,95175013,102007943,88026964,258268785,61637226,74417898,88026965,88026972,74417902,74417904,88026975,102007949,109431206,109431204,123624772,116060417,260726589 Dl.O(d2) = 72411375,59676000,48288951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3070880, s2 = 2557076, dlinesl.size( ) = 16 s1 = 3071107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3071107, s2 = 11577326, int(edited[s2]) = 0 s1 = 3071107, s2 = 11577326, d1 = 9, d2 = 14 Dl.O(d1) = 95177782 Dl.O(d2) = 269363124,58209812,58209811,70927056,84491320,258886332,126265089,139635857,152356559,164229278,175035050,184629166,193008261,200197130,263976426,215388294,218777520,221639207,224096690,226228125,265602074,265897178,233622230,234686877,266356482,236543631,237351929,238087430,237924854,237172691,236346913,235443155,234452985,233365435,232165745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3071107, s2 = 11577326, dlinesl.size( ) = 2 s1 = 3071107, s2 = 11577326, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3071107, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 2765450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10160727, s2 = 11647048, int(edited[s2]) = 0 s1 = 10160727, s2 = 11647048, d1 = 49, d2 = 36 Dl.O(d1) = 255491082,255491072,254543152,22715436,22715438,30097229,254792056,22359350,22359349,29715182,38281958,255491074,85906124,99861853,109434845,109434863,109434862,113880941,127756708,123628321,109434853,95178685,256975438,48591180,48591178,38674702,30097234,30097235,267791752,255491086 Dl.O(d2) = 109434849,259413322,55314270,55314268,44468345,35091827,35091826,35091824,27005846,255329803,9923065,254471641,4086411,255745385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10160727, s2 = 11647048, dlinesl.size( ) = 30 s1 = 2765601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2765601, s2 = 1547619, int(edited[s2]) = 0 s1 = 2765601, s2 = 1547619, d1 = 0, d2 = 7 Dl.O(d1) = 81121399 Dl.O(d2) = 109435911,123629360,114937791,100886090,86905923,86905924,86905925,73295605,60552372,49152817,39226122,30628214,23205589,268423759,23205591,16935123,11852616,11852615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2765601, s2 = 1547619, dlinesl.size( ) = 2 s1 = 2765601, s2 = 1547619, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2765601, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 3071411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9529780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169179, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2767039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2767399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8416414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8416414, s2 = 2424621, int(edited[s2]) = 0 s1 = 8416414, s2 = 2424621, d1 = 67, d2 = 62 Dl.O(d1) = 44503128,257314111 Dl.O(d2) = 40251639,50272966,61753191,74537314,88152382,88152381,74537312,74537313,270112222,43946018,43946017,54688425,66944790,80370224,76223657,63212033,51501646,254313744,254152288,13339480,12305797,12305796,17456014,23786934,17456041,17456040 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2767998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2768095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2768095, s2 = 4208684, int(edited[s2]) = 0 s1 = 2768095, s2 = 4208684, d1 = 1, d2 = 34 Dl.O(d1) = 81165493 Dl.O(d2) = 225516198,225516199,223268319,220669180,217613706,213952045,209490729,204052725,197534389,263571954,170882008,159553737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2768095, s2 = 4208684, dlinesl.size( ) = 2 s1 = 2768095, s2 = 4208684, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2768095, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 3073618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659116, s2 = 11661255, int(edited[s2]) = 0 s1 = 11659116, s2 = 11661255, d1 = 87, d2 = 38 Dl.O(d1) = 13422230,9176978,6006400,3756413,2465974,1524830,1524828,1529072,1529073,2645791,4412293,7016990,10630540,15382926,21342662,21342661,24793910,19446295,267882748,6266836,3923731,3923730,6266835,9550927,254732174,7032185,10650182,15408067,21393014,28631933,37145908,47034890,42025716,257190097,33081660,25350739,18769125,18769124,25350737,33081657,42025712,52363846,52363849,64212863,52363833,52363832,64212862,77360027,64212857,60741691,49338458,39408957,30804100,23376142,17106502,17106503,23376143,30804101,39408960,49338461,60741695,54646881,256724293,19828496,268538516,43904175,34631507,26641018,23719598,17395737,17395738,23719600,19682053,19682054,19827933,14203743,14203744,19827936,14204089,14204088,19828594,26641151,34631682,43904391,35137608,35137609,39090977,30494343,256286090,257183133,39827907,31145754,27056088,27056087,257915045 Dl.O(d2) = 258451132,113016227,256683580,58804011,47416815,47416814,58804009,61504194,50026133,257175594,73537757,60790624,255244416,255244418,41995227,33051839,25323381,18744498,13344361,13344360,17496084,12336360,12336359,17496083,258881121,67621954,67621953,81087715,258528657,67621949,81087711,67621958,55284033,44439939,44439937,55284027,67621950,81087713,72700318,59962438,59962437,71354252,58617013,47223730,256433764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659116, s2 = 11661255, dlinesl.size( ) = 80 s1 = 13459483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13459483, s2 = 15270906, int(edited[s2]) = 0 s1 = 13459483, s2 = 15270906, d1 = 14, d2 = 17 Dl.O(d1) = 35142573,257915149 Dl.O(d2) = 237250081,237995008,266778291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13459483, s2 = 15270906, dlinesl.size( ) = 2 s1 = 13459483, s2 = 15270906, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13459483, Dl.E( ) = 30, 2.1e-05 seconds used appending s1 = 7910015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8352252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2770838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2771868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2772089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 917735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2773901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2584388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9484328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9484328, s2 = 11377029, int(edited[s2]) = 0 s1 = 9484328, s2 = 11377029, d1 = 26, d2 = 31 Dl.O(d1) = 23393916,23393915,256324559,47079870,50530512,40494766,40494767 Dl.O(d2) = 65318599,78616723,78616721,65318595,65318596,78616723,92672340,107005581,260920475,135147745,262018519,160591925,171790484,261753506,152742328,140052424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9484328, s2 = 11377029, dlinesl.size( ) = 2 s1 = 9484328, s2 = 11377029, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9484328, Dl.E( ) = 32, 1.22e-05 seconds used appending s1 = 9719460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2775479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6831613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6831613, s2 = 15347111, int(edited[s2]) = 0 s1 = 6831613, s2 = 15347111, d1 = 185, d2 = 289 Dl.O(d1) = 258984282 Dl.O(d2) = 90859277,76981050,63870064,63870063,74641149,74641150,256697884,64422330,64422331,52829533,42425364,42425363,42189512,42189513,52548307,269134304,52548302,52548301 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6896280, s2 = 8472890, int(edited[s2]) = 0 s1 = 6896280, s2 = 8472890, d1 = 13, d2 = 18 Dl.O(d1) = 259806121 Dl.O(d2) = 259806122,119599713,105369414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896280, s2 = 8472890, dlinesl.size( ) = 20 s1 = 8472891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8472891, s2 = 6896279, int(edited[s2]) = 0 s1 = 8472891, s2 = 6896279, d1 = 19, d2 = 14 Dl.O(d1) = 128393463,123936034,259806123 Dl.O(d2) = 259806120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8472891, s2 = 6896279, dlinesl.size( ) = 20 s1 = 3080951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9453646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6627222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740910, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6682724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682724, s2 = 8481868, int(edited[s2]) = 0 s1 = 6682724, s2 = 8481868, d1 = 6, d2 = 12 Dl.O(d1) = 257290788 Dl.O(d2) = 259765742,261010041,137654966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3083343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3083343, s2 = 10981391, int(edited[s2]) = 0 s1 = 3083343, s2 = 10981391, d1 = 20, d2 = 8 Dl.O(d1) = 95646011 Dl.O(d2) = 33205529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3083343, s2 = 10981391, dlinesl.size( ) = 2 s1 = 3083343, s2 = 10981391, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3083343, Dl.E( ) = 38, 1.31e-05 seconds used appending s1 = 2449101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13354189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164454, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3084264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3084264, s2 = 9677345, int(edited[s2]) = 0 s1 = 3084264, s2 = 9677345, d1 = 37, d2 = 97 Dl.O(d1) = 95664329 Dl.O(d2) = 150683921,137688516,261573305,162776442,173774053,263448183,263265218,264419034 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6703138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6819116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6819116, s2 = 14513981, int(edited[s2]) = 0 s1 = 6819116, s2 = 14513981, d1 = 22, d2 = 32 Dl.O(d1) = 258835576,81632893 Dl.O(d2) = 17716784,12533357,12533360,17716790,24073218,24073283,17716829,12533382,12533381,17716827,24073279,31578872,40265945,255257160,42049299,42047953,42047952,52391954,55744454,55744453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6870980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6870980, s2 = 14059689, int(edited[s2]) = 0 s1 = 6870980, s2 = 14059689, d1 = 39, d2 = 56 Dl.O(d1) = 259468439,115236010,260427683,95930656,261576652,149752336,136552197,257338426 Dl.O(d2) = 2423384,2423380,4045881,2422759,2422758,4045877,6454030,9823817,14300725,19973604,26846638,34914079,44280179,55121327,49471858,49471857,257374484,258607752,115325750,129253186,137836970,259857916,114167363,107987088,93552467,93552464,107987084,122407816,136385152,136966549,260921244,94683538,94683540,108954905,118020354,118020355,125399672,138723238,151419046,163297931,157538395,145104339,145104338,271088892,131270398,272650433,261039100,162036463,270772630,259234224,122590204,122590203,122392213,107968822,256787648,255772890,254991928,44228442,55059411,66656193,256255034,34504592,34504591,43719349,34493130,26537081,26537084,34343303,34492899,34492902,43718938,51674414,43718447,43718448,53960876,66037797,79411450,93549308,107984795,122406321,136384217,122778179,261531851,162039723,173151094,183010470,191627697,264409499,208290345,264142614,178691785,168369278,272486094,117468072,103335940,260187041,123197641,115344749,115344748,115357091,259836864,259819079,260974559,260158774,66941863,54685514,268450948,14227323,16885593,13459114,13459115,15938481,15938482,22041069,15941807,11062336,7334949,4633375,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,1619937,921292,921290,1619925,2792607,4636058,4223825,4223826,6740653,7338558,4635482,2792325,1619791,1619790,2792323,4635474,254762791,11058157,15936028,22038237,22061997,25541597,25541598,22429635,22429636,28916383,21641971,21641970,28916380,37455791,29507372,22167046,16044195,16044193,22167039,16636064,16636065,22863120,30258882,38842625,38842573,38842571,40423269,50460654,61956518,68091292,55693283,44785829,44785828,48382517,48382515,59265305,48179474,38270316,38270317,48179478,58000038,48383480,38480820,29920816,29920818,38480826,48383491,48382502,38479852,29920094,29920095,38479853,48382504,59765828,68091393,55693497,44786117,257331303,269393560,85792740,72500851,59766049,257539089,38479943,38479941,256994240,48382843,55693232,55693231,59766064,60484034,49080500,39150405,30552296,30552297,39150406,255950090,39100317,30504234,30504235,38911120,38908278,38908277,255122786,47300740,39100290,30504207,30504127,30504128,30504163,30504164,38644236,38644237,30321568,22921123,22921125,30321574,38908304,48829902,48829914,38908314,30322622,22921831,22921829,30322616,38909639,40025700,40025701,44730767,38908574,30321782,22921263,16687435,16687434,16687503,22921387,30321942,38908749,48830368,40025624,38908352,30321609,22921145,22921147,30321614,38908371,37391518,28851436,21579452,15556031,10759754,10759756,15556040,21579471,28851470,37391596,38908225,38908227,48607039,38908264,38908265,48829859,57987878,50227000,50227001,61707941,61707940,256450100,60226485,60226185,60226184,68015593,59951675,59037183,47635000,37712673,29152363,255505700,47634982,255949648,48607383,48607385,59037163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6870980, s2 = 14059689, dlinesl.size( ) = 8 s1 = 3085007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6899413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6899413, s2 = 14601156, int(edited[s2]) = 0 s1 = 6899413, s2 = 14601156, d1 = 12, d2 = 6 Dl.O(d1) = 259882738 Dl.O(d2) = 256822606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6899413, s2 = 14601156, dlinesl.size( ) = 8 s1 = 3085166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6896953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9670512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3086117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8283724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8283724, s2 = 8715805, int(edited[s2]) = 0 s1 = 8283724, s2 = 8715805, d1 = 9, d2 = 2 Dl.O(d1) = 269285210,83635693,270779788,262006648,24336241,31858330,39526289,30915676,29380444,29380445,25530119,18919940,13488136,13488134,18919954,25530142,33291008,42271402,52657439,52657443,269509733,259666631 Dl.O(d2) = 159515785,170845583,180966671,189846812,189846813,197503991,204023749,204023766,197503998,189846816,189846817,197504003,204023769,204023758,204023756,209463312,209463337,213926860,217591270,213926868,209463356,204023805,197504033,197504034,204023808,204023779,204023780,204023815,204023816,209463288,204023728,197503974,189846799,180966648,170845570,159515772,159515771,170845567,159515792,147155468,133932075,133932074,147155465,159515785,170845583,180966671,189846812,189846813,197503991,204023749,204023766,197503998,189846816,189846817,197504003,204023769,204023758,204023756,209463312,209463337,213926860,217591270,213926868,209463356,204023805,197504033,197504034,204023808,204023779,204023780,204023815,204023816,209463288,204023728,197503974,189846799,180966648,170845570,159515772,159515771,170845567,159515792,147155468,133932075,133932074,147155465,159515783,170845577,180966661,189846820,194973150,263227700,167089291,261817190,129549538,115663826,101761814,87788919,74184690,257641457,39905760,257045326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8283724, s2 = 8715805, dlinesl.size( ) = 2 s1 = 8283724, s2 = 8715805, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8283724, Dl.E( ) = 10, 2.19e-05 seconds used appending s1 = 3086348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2782086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3366388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8629092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9451258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2783641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3620801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3620801, s2 = 9040497, int(edited[s2]) = 0 s1 = 3620801, s2 = 9040497, d1 = 27, d2 = 47 Dl.O(d1) = 125434606,255782416 Dl.O(d2) = 259863972,163348693,273082181,262608350,263458530,262608352,174201414,262121038,273688597,174201416,163348687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3088091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8439141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9684430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1748736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13578123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2785729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2785729, s2 = 4365034, int(edited[s2]) = 0 s1 = 2785729, s2 = 4365034, d1 = 19, d2 = 8 Dl.O(d1) = 83879910,259865995,125462642,138791731,151493199,163376632,174228896,183898311,263056533,151493209,151493208,163376643,174228910,273514131,199669268,192372750,183898312,174228881,163376621,163376620,163376627,151493196,151493198,163376630,174228892,163376642,262610117,273514129,174228883,174228884,163376638,262610115,183898328,183898327,183898318,183898317,192372757,192372777,192372776,192372781,183898338,183898339,192372783,199669301,205841530,210946973,264148895,263460045,274176330,264148899,192372784,183898342,183898341,264148897,199669268,192372750,192372751,192372771,192372772,192372782,192372783,199669301,205841530 Dl.O(d2) = 183898335,183898336,174228915,163376648,151493211,138791727,125462640,111659786,111659784,125462636,138791719,151493200,163376635,163376641,163376650,151493213,151493212,151493214,151493206,151493205,163376641,174228907,183898329,192372770,192372788,183898347,174228917,174228916,179404019,169134284,157690756,145278586,132040909,118220930,104061584,259303650,76126322,76126321,63121089,51424336,41227253,41227252,51424334,60133368,60133367,72870067,68142188,55744144,44836242,44836243,55744146,68142190,64737592,257267872,42419989,52821690,52821692,51176492,51176491,62824931,51424340,41227255,32403081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2785729, s2 = 4365034, dlinesl.size( ) = 2 s1 = 2785729, s2 = 4365034, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2785729, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 3090293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3090293, s2 = 8835555, int(edited[s2]) = 0 s1 = 3090293, s2 = 8835555, d1 = 24, d2 = 83 Dl.O(d1) = 97754836 Dl.O(d2) = 265602946,218987326,215620333,215620330,215620329,218987323,221829267,224267406,274461969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3090293, s2 = 8835555, dlinesl.size( ) = 40 s1 = 3090533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3090533, s2 = 13809838, int(edited[s2]) = 0 s1 = 3090533, s2 = 13809838, d1 = 14, d2 = 27 Dl.O(d1) = 97758408 Dl.O(d2) = 209256386,213751867,209256401,203776523,203776524,203776507,263706788,263706793,203776510,209256390,209256391,263706796,207228132,209256404,203776525,273921255,203776513,203776514,209256393,209256388,203776508,263706788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2786533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2786533, s2 = 15026807, int(edited[s2]) = 0 s1 = 2786533, s2 = 15026807, d1 = 0, d2 = 17 Dl.O(d1) = 83903378 Dl.O(d2) = 264441196,264763198,222057585,219249297,219249298,222057587,224469222,226564181,228389242,229584115,229584114,231042087,231042088,265565834,229991990,228389213,226564140,264763204,215922726,211903140,211903141,215922729,216669583,212771790,208005246,202225339,195350830,187311289,178074669,167611918,156002617,156002618,165597375,165597374,176273224,185724743,193967508,201029671,206984300,211903150,215922736,219249280,222057568,224469197,226564148,228389225,229991996,229992015,228389238,226564177,265392828,226075161,227943153,265203112,227943156,226075166,265392824,224469218,222057585,219249297,219249298,222057587,224469222,226564181,228389242,229584115,229584114,231042087,231042088,265565834,229991990,228389213,226564140,264763204,219249265,218562097,264763202,223930271,265392824,224469218,222057585,219249297,219249298,222057587,224469222,226564181,228389242,229584115,229584114,231042087,231042088,265565834,229991990,228389213,226564140,264763204,215922726,211903140,211903141,215922729,216669583,212771790,208005246,202225339,195350830,187311289,178074669,167611918,156002617,143463728,130132797,116222056,102160807,88169950,74555069,74555070,84530620,81033174,67563946,257541912,52692818,64593310,77775986,67563943,269298397,42374386,33385375,25619412,25619411,33385373,42374380,52773359,61599442,50119884,50119885,61599444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2786533, s2 = 15026807, dlinesl.size( ) = 2 s1 = 2786533, s2 = 15026807, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2786533, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 2786674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8284555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351994, s2 = 9372597, int(edited[s2]) = 0 s1 = 10351994, s2 = 9372597, d1 = 13, d2 = 4 Dl.O(d1) = 255162452,65382350,78687017,92750393,107090800,121388110,135237930,260703452,190550302,198090656,273846983,184551360,262636294,152236771,139505712,260500464,112272080,258652390,84717417,84717416 Dl.O(d2) = 254492082,13307865,10331780,6799938,6799936,6800166,5940071,5940072,3715755,3715753,4264495,2549619,1468727,830868,468684,263580,145961,80256,43970,43967,80243,145935,263523,468594,830699,1468408,2549041,2625462,2625461,2551540,1469791,1469792,2551541,4264142,4264145,4238166,2569654,2569651,1479503,836280,836282,1479517,2217779,1286800,1286801,2217785,1286855,734790,417828,417827,734784,1286840,2217880,3702972,4853939,2925002,2568882,1479001,1479002,2567986,1478545,835822,835823,1478547,2567992,4295355,6845498,9064299,6762685,5921702,3702842,3702843,5921704,4292531,4292532,6798716,10330497,10287322,6762389,5921853,3702927,3702926,5921850,4852263,2924021,2924024,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,2576394,4249157,2576303,2576302,3724849,3724848,5585130,5212689,5212690,6797537,6797536,10299746,10386727,9647737,9647739,6775381,4246889,4246891,2545480,1466493,1466491,2545472,4257824,6758955,10283347,6826207,6825636,4282061,4282060,6825635,4283153,2560771,2560770,256820941,57817446,258010817,57817446,259261981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351994, s2 = 9372597, dlinesl.size( ) = 2 s1 = 10351994, s2 = 9372597, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10351994, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 8071310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9078239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3092464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164252, s2 = 8182386, int(edited[s2]) = 0 s1 = 14164252, s2 = 8182386, d1 = 10, d2 = 7 Dl.O(d1) = 49315441,49315442,49994110,256518365,23816356,17481538,12325530,12325532,17481541,14957448,10290597,6764802,4239510,4236159,2532759,2532758,2547238,1467451,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,3306741,5377567,5377491,5377493,6804946,10287529,14953555,20854388,18693273,13300218,9081812,5940724,3714710,3714709,4308694,4244771,4244770,2541522,2541521,4251250,5955971,4249909,4249907,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6821645,6747866,6747863,6851170,6851169,10335959,10572117,10283131,6842306,6842304,7774991,9086113,5943314,4291738,2565921,1477490,835326,835325,1477486,2565913,4291718,6839937,8596953,8596954,6774580,4585325,2758663,2758662,4585320,6778174,4248673,4246453,3719557,3719556,4246458,5586790,5586791,4284100,3466115,3466116,3466159,5586944,8598155,10333681,9784628,9784627,8133576,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,9647476,10396246,8593865,5583860,3464381,2054523,2054524,3464388,5583881,8593907,10364826,6827818,6827821,10364838,9077445,5936508,5936507,9077438,10361290,8109050,8109053,12060449,10382626,6842168,4293228,2566810,2566806,2759564,2759563,4586880,5217041,7273281,10987593,13993342,19542598,26262413,34128789,256740870,36488069,36488070,254973452,20236988,14521515,14521514,20236986,27146185,21498163,15491469,10712684,7077195,4455540,2676584,2676582,4455535,7077180,10712651,11425111,16408852,22591511,25145769,25145768,32852648,39323035,37249587,37249584,39029794,30440806,23033979,255438206,39029792,37628038,29077319,21779389,15720405,255426219,29077328,37628042,37404475,37404476,38057507,29493791,23405842,17131983,12039716,8094004,5185501,5185502,5733785,3570166,3570165,3178590,1860628,1860624,3178604,5210039,8132093,12092552,17197003,23479985,21167866,21167865,28386084,36882614,255386136,70843419,256843500,112292380,258656432,272175116,164145664,164145665,261083628,184588101,192973158,200166484,200166485,206240296,211262799,215366538,218757297,264718284,215532473,211445057,206444930,200398396,193239970,193239969,193239971,184899790,175348915 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164252, s2 = 8182386, dlinesl.size( ) = 2 s1 = 14164252, s2 = 8182386, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164252, Dl.E( ) = 12, 1.69e-05 seconds used appending s1 = 10350354, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6635934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6743229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6743229, s2 = 6945198, int(edited[s2]) = 0 s1 = 6743229, s2 = 6945198, d1 = 9, d2 = 12 Dl.O(d1) = 258003745 Dl.O(d2) = 260474800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6743229, s2 = 6945198, dlinesl.size( ) = 14 s1 = 8130739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6989536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3095432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9541050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6899083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13595715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8285743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6899316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6899316, s2 = 2278407, int(edited[s2]) = 0 s1 = 6899316, s2 = 2278407, d1 = 74, d2 = 143 Dl.O(d1) = 259881727 Dl.O(d2) = 32787868,32787867,29237122,21919138,15834979,10973348,7263252,4580577,2755858,2755857,4580576,7263251,10973347,13432096,18486970,18486966,21083097,24342316,17951555,16650040,11617907,7737104,4898810,2952493,1712200,1712199,2952487,4898797,7737073,11617889,16649944,22878326,21778842,15719792,10883016,10883015,15719787,21778831,17593818,17593819,23937265,31428397,33210045,31428336,25016628,18486947,18486948,25016635,28224341,28224334,21028571,21028572,28224335,36717479,46605563,50530138,41234296,32409370,24784558,18302815,18302816,24784563,31248423,23764018,23764020,28932349,28932348,37473837,34214415,30275795,22878493,16650076,16650078,22878497,24542529,18108362,18108361,24542539,23204068,23204069,30626594,24342044,17951359,13133793,8951041,8951040,8643539,5621585,3492462,2074712,2074713,3492470,5621594,8643557,12720878,17951539,24342296,31864723,26964233,23602806,23602807,31086998,32699897,28307058,28307059,36803860,39924008,31248445,31248446,39765344,39765343,49784900,61264007,74044005,87647304,85858790,72267083,257521543,256472879,30665172,39260735,256130181,23249445,23249446,30665179,23283457,255474766,7990375,267988269,17024181,23283459,30699035,39296598,42187599,256399623,23283447,23283446,30699022,33227698,25479235,18877361,13452384,9199664,9199665,13452388,9199682,6023216,3768154,3768153,6023211,9199676,13452409,255666057,256646063,257791893,268493119,25479275,33227755,257020493,39296589,42187596,33227392,25479022,25479021,30699026,268661289,42188069,33227756,33227757,29670213,255464653,16173974,22319002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6899316, s2 = 2278407, dlinesl.size( ) = 16 s1 = 2793797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2793797, s2 = 1871162, int(edited[s2]) = 0 s1 = 2793797, s2 = 1871162, d1 = 6, d2 = 21 Dl.O(d1) = 84064243 Dl.O(d2) = 48549189,38634851,30061025,22683926,255338916,7639634,4833337,4833339,7639204,6868980,6868982,10419743,15107107,16486593,16486595,14614872,10056006,10056003,14614946,20361314,27300233,27300145,20361259,14614910,10055982,6607292,6254563,6254562,9534398,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,27299827,24561168,18122137,16707918,11667341,11667339,16487814,22687835,26113886,31986485,31986484,30066478,22687934,22687933,27964338,22679450,16485895,16485899,21033028,21033042,21033061,16708399,16708398,22944452,27300061,27300062,27300205,30583237,35432637,35432638,44871112,35432500,27300101,20361228,14614895,13894648,13894647,19420884,22944623,27300051,27300052,27299796,20361027,20361025,20361045,20361047,20361032,20361034,27299811,23165431,23165430,24842430,32484360,32143654,24561147,19420897,16489288,16489287,18122126,23092865,30507781,27299946,27299945,20361128,14614847,14614848,20361135,22944491,16708413,11667711,11667710,16708407,22944469,30345332,30345323,30345325,30345408,22944029,16707986,16707985,22944023,30345395,35432238,30346050,22944634,16708514,16708516,14614835,14614836,20361107,24147184,17780598,12583693,12583694,17780602,24147191,23165444,16902857,16902858,23165451,30345805,22944432,22944431,30345799,38644368,38644370,38931545,30345574,30345572,38931540,39180983,38931894,30345975,22944573,16708459,11667730,7777850,4929307,4929308,7777856,11667746,16708482,22944606,30346018,38931433,38931375,30345377,30345376,38931370,38931395,48851201,48851547,38931953,30583278,23165424,23165423,30583271,35432270,40352087,31657369,24147170,24147171,31657374,39709527,39180998,39180994,39180995,48851405,38931718,30345791,30345788,31657181,24147037,24147034,31657168,35414438,35414437,44839514,55483859,48556425,44871193,38931883,38929131,30345930,22944546,16708441,16708438,22944537,30345917,38931847,48851480,48851528,60242360,60242361,48851066,38931586,38931585,40352169,48851057,38931613,38931614,37503085,28960073,28960074,31657068,24146975,24146977,31657074,27299802,27299801,35229702,35229703,44610761,48379452,38477323,38477322,40031989,31351759,31351758,40031982,40351694,40351842,44610673,44610676,50386432,48556437,38641631,30066763,30066764,24146946,24146945,31656999,40351662,38931821,30345904,30345906,38931832,39756112,40351969,50386808,50386550,50386548,50387000,48849193,41413712,41413711,51655340,50386706,40352162,40351805,31657134,31657133,40351800,40351933,40351934,48378729,48378728,48379431,48379432,49038279,48565108,38649839,30073950,30073951,31657342,40352061,48379610,48379609,44610689,35229639,27135236,20228881,20228880,27135231,35229632,38641619,31656994,24146941,24146940,31656918,37493998,37493999,39756132,31078514,23595196,23595194,31078505,38477279,42856755,41195842,41195840,51386550,51386551,51655330,59762254,59761457,48378659,48378658,41195818,40351951,40351950,40351937,40351938,50050912,50050911,61530378,59762322,48379645,38477481,29918332,29918241,29918242,29918321,22559728,22559730,29918325,38477461,44610684,44610685,55459089,44610632,44610634,48569187,38653322,30076623,22695788,16493458,16493459,22695793,30076629,38477309,48379438,50386455,50386456,59961515,59961514,59762051,48379325,48379326,59762053,59761810,59761811,72495890,59762079,59762078,60442111,60442110,60442106,49038130,49038113,39108268,39108267,49038109,60442088,59761709,48378926,38476855,29917926,22559513,22559512,29917919,29918344,29918345,29918356,29918288,22559714,22559715,29918296,38477431,48379569,59762240,72496156,86093051,72495715,61246770,60053511,60053510,51907970,49038230,39108367,39108366,49038226,53320111,65319424,74027016,61246887,49768022,49768024,49767981,39749379,39749380,42856325,42856326,49038141,39108289,30511211,23095787,23095788,30511215,39108303,49038156,59761779,59761778,59761681,48378894,38476825,29917930,29917931,38476866,48378938,48379107,48379106,38477417,29918282,29918284,38477421,48379559,59761577,59143509,59143510,59964003,59964004,51908039,51907981,41607760,41607761,41607779,49037988,39108169,39108170,49037992,53319308,42856403,33815037,31071572,23588001,23587998,31071564,31071615,39749468,49768080,61246927,59579169,59579170,65318830,78616928,270831463,59143661,59143660,71881828,85466511,259967623,127267006,260920486,259709338,86577383,86577384,86093067,72495749,257241334,49767965,39749361,31071536,31071535,39749358,33117638,25382193,18797257,13390283,13390284,18797262,13796602,13796601,19297017,25962779,33772320,42804510,42856346,37822919,37822920,47744930,52410333,44870943,44870926,44870925,48851031,47744794,38476769,38476770,47744821,37822834,29257889,29257888,30345235,30345234,38931204,48851017,51908016,53319117,59761591,48378796,48378781,48378780,59761573,65318864,63714826,52410256,42066432,42066434,49767947,39749349,39749350,42066530,33117564,25382149,18797238,13390279,13390281,18797248,19297006,19297007,25962760,33772292,42804461,53257424,42804469,42804470,53257450,64265697,64265698,77415693,68228076,68228075,72495833,72495831,72495794,59761615,59761613,71881722,59143551,59143550,71881745,72980143,72980144,86577394,78616892,78616894,77415806,64265800,52410401,52410400,64265794,77415797,90684153,85702426,78434513,74026957,61246810,49767935,49767936,52410387,42066521,38453743,38453742,33117570,33117569,33117577,33772265,33772266,42804426,53257384,65246921,78537021,65246960,64851062,52925512,42515034,42515037,52925521,64851082,78048214,73592224,73592225,87214281,78537049,78537051,85466453,71881737,71881738,85466461,84067674,84067673,97940606,86072664,86072662,78537035,72474471,59739279,59739273,59739272,72474456,72474493,86072649,73429509,72474313,61561030,61561029,74338638,72474371,59739200,59739199,64265713,52410338,52410339,64265720,53257372,53257373,65246908,78536991,92584671,98198877,91974571,78048180,64851045,52925504,52925505,64851054,78048188,85544162,71956281,71956282,71956225,59217850,59217852,71956232,85544102,92672449,100035817,87941673,86801001,73188921,68228139,68228141,59739289,48355702,38453764,29896610,29896611,38453770,48355710,59739302,49281026,49281027,48355597,38453691,38453690,38453719,29896588,22541066,22541067,29896591,38453726,48355654,49195044,49195043,50081246,50081244,52925904,42515358,33515387,33515389,42515363,52925910,50080744,42856186,42856184,53319088,47819554,37897587,29329024,21998643,21998644,29329032,37897610,47819589,59217866,64089338,59384850,52925536,52925537,64850626,64850628,61561102,50080724,50080725,49281059,49281060,49281042,39354189,39354183,39354184,41916407,38736005,38736006,48657044,55284517,44440397,44440398,50050415,40030262,40030263,50050394,61529787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2793797, s2 = 1871162, dlinesl.size( ) = 14 s1 = 9201772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2794926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2794926, s2 = 7655264, int(edited[s2]) = 0 s1 = 2794926, s2 = 7655264, d1 = 0, d2 = 4 Dl.O(d1) = 84081592 Dl.O(d2) = 271289795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 13515519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2795481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6792420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6798291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2796082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8340079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8340079, s2 = 7838941, int(edited[s2]) = 0 s1 = 8340079, s2 = 7838941, d1 = 41, d2 = 125 Dl.O(d1) = 73380759,84103047,97977140,84103069,84103068,97977162,111915029,97977145,97977144,111915027,97977165 Dl.O(d2) = 836745,471490,264879,146596,80560,80557,146585,264862,471459,836685,1480324,2571244,2571428,2571426,4300497,4278663,2558195,2558196,4278637,6820648,4292958,4278746,2558246,2558247,4278750,6820806,6842683,9086294,9086293,8596900,8596901,12661153,10357557,6821583,4279290,2558533,2558530,4279280,6821569,6557022,4107799,4107798,4300877,254220507 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3099839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3099839, s2 = 7218348, int(edited[s2]) = 0 s1 = 3099839, s2 = 7218348, d1 = 59, d2 = 36 Dl.O(d1) = 97977432,97977433,111915288,123940995,123940994,109804554,95602209,81568634 Dl.O(d2) = 264159783,211077979,215231088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3099839, s2 = 7218348, dlinesl.size( ) = 2 s1 = 3099839, s2 = 7218348, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3099839, Dl.E( ) = 62, 1.5e-05 seconds used appending s1 = 10335315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8487495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7068730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3101043, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9159708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9159708, s2 = 14624184, int(edited[s2]) = 0 s1 = 9159708, s2 = 14624184, d1 = 13, d2 = 11 Dl.O(d1) = 257923850,58306580,50169844,40144754,31461316,31461315,257078457,50467288,40429336,256550620,17854783,17854782,24226569,31735113,40429334,38227297,38227298,48137541,59524659,59524658,61879208,50389493,256545117,24149250,24149249,31659669,40354630,40354643,31659676,24149253,24149252,31659674,40354641,50389503,40354651,31659684,31659683,40354649,46453878,36587864,36587863,38227293,38227292,48137535,50519803,48137511,38227279,38227280,257520843,70511255,258692205,58649667,47257858,47257859,58649669,269410797,50389476,61879191,74671321,84614625,71050568,61879230,50389521,40354664,40354665,50389523,61879232,74671349,259297229,72258345,85849478,84603528,71039719,58324339,46957164,37076754,28573354,255404142,10620324,7008933,4406082,4406083,7008936,10620331,15370150,21345076,28573401,37076805,46957146,37076743,257436083,71039693,58324438,46957239,46957237,46957238,58324437,58255788,58255787,58324415,46957222,46957221,258670543,98528163,109827033,259630248,55701522,55701523,68099064,258078391,52244868,41907762,32968400,25246287,18675789,18675790,25246290,32968404,41907773,52244885,64092283,65880447,65880446,71931544,71931545,59761187,48378208,48378210,59761192,70702066,57984669,256830133,36719747,257409469,70702068,84253511,98146850,112105423,112105424,125938572,139287371,151994336,163862766,174680072,184302259,177894821,167400646,155768540,143216841,129887338,115989948,101945810,87973522,74371607,61595350,50115645,50115646,61595351,74371608,74371604,74371605,87973521,101945808,115989947,129887337,143216839,130239170,116402943 Dl.O(d2) = 74688071,61894486,50403951,40368561,36724682,28230905,21033712,21033713,23161949,23161950,30579209,256039346,30578512,23161434,23161433,255135324,16900219,23161972,30579236,39177150,38419573,38419572,38419574,48327933,59714452,59714451,67646332,72451084,86049810,100013092,114040484,109427195,95170898,81112631,67646336,55307383,55307382,67646333,81112630,81112621,67646328,55307378,44462301,44462302,35086948,27002092,27002091,35086946,44462304,257191090,81112626,95170896,81112624,67646330,67646329,81112623,95170894,109427194,123620976,109427193,95170893,270510746,271530540,123620975,128021346,114131892,100097482,100097481,100097483,86130078,72530663,72530664,86130080,86130075,72530662,59795455,48410628,48410627,48410626,38504847,38504846,29941160,22578131,16395255,11411520,11411519,9146600,5985552,5985549,6992921,4902760,4902757,7742545,11624240,16656649,11625724,7744039,7744040,5985119,3742481,2240428,1299191,1299192,2240429,3742482,5985120,9145917,11625242,11414189,7585471,4797881,2891982,2891980,4797877,6814448,4274197,4274198,6814455,7583067,7583069,4807129,2929460,2929461,4861447,2956606,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7617872,4819851,2904491,2904490,4819847,7610116,4814519,2902369,1683712,957389,539821,302494,302493,539814,958024,1684877,2904560,4819975,7618013,7590442,7590440,7746189,4905302,4905299,7746180,9144742,11553031,11427318,7596282,4905314,4905316,5871281,8992931,11448870,11608358,10025189,10025188,11437555,7605227,4811427,4811424,6543342,7604874,7594446,7594445,6936398,4358702,2611522,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895231,4803619,5683599,8730176,12838186,11424738,255101159,22590732,29954651,28161387,20981741,15069662,10393009,6850215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9159708, s2 = 14624184, dlinesl.size( ) = 8 s1 = 8047043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8047043, s2 = 16053537, int(edited[s2]) = 0 s1 = 8047043, s2 = 16053537, d1 = 11, d2 = 9 Dl.O(d1) = 223138841,220519853,217441736,213752251,209256759,203776889,263706867,180611997,170473988,159131426,146757350,133501148,119629224,260850935,146757348,146757351,159131427,159131428,146757352,271979903,91170826,77252301,64105487,52256612,41918366,32978248,25255408,18684618,13291676,13291675,18684616,25255407,18684618,13291676,9074258,5934194,3710497,3710496,2553674,1470972,1470973,2222056,1289018,735875,418356,236164,236166,418340,735842,1288951,2221949,3710385,5934036,9074051,13291455,18684397,25255166,20205606,14498752,13280480,13280479,11371261,11371260,15547298,16353942,15243190,10515867,10515868,254579970,16357945,22530559,29884795,29875024,22517768,16344349,11372516,254759326,16459480,254233216,22517390,16343976,11372224,11372219,9966479,6550207,4103511,2454524,1418855,807111,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257777,3311899,1948362,1113001,624556,347085,190314,103928,103927,190311,347081,624545,1112971,1948303,3311780,5385698,7545700,11357280,16310995,16310994,11356930,11356929,12022808,17108731,21079946,15141809,10443255,6884582,4321773,4321774,6884586,10443262,15141806,21079945,22477139,22018128,22018127,29349865,23929846,17588017,254167264,31364621,29346328,22014287,15912711,15912710,16337737,16337738,22511553,23570804,17259641,12139586,12139587,17259646,23570807,22516799,17234881,16305784,16305785,22015975,21567620,21567619,28839117,29882078,254179992,17273359,12152614,11378003,11378004,16350844,16351002,15329259,15329260,16337789,22511623,16737271,16737270,20188678,14485311,9966575,6550271,4103550,2454547,1418863,807112,457318,457321,807123,1418886,2454595,4103631,6550422,9966809,14485596,16048545,11346021,7539573,7539571,8229447,5300858,5300860,7550441,9108488,7547922,4773608,4773610,7547943,8165100,8166725,6524937,6524938,9928220,14430768,9926528,9926529,14430771,20122387,27014979,22494284,22476733,16306236,16306235,21296722,21296723,16319791,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22973153,30374658,38417597,38421179,38414738,38414739,267984656,21295107,21295108,27230924,35354107,37921714,29354560,23870193,17525779,12359815,8351077,5390152,5390151,4769224,4769223,6984172,10587334,10587196,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,21081766,254602438,10455068,6891691,4326295,4326294,6891689,10455061,15160274,21105238,27017817,22489383,22489382,21101950,21101948,28312291,254583954,22528203,254836720,28424607,29822707,29822708,30757304,39358040,36798202,255416884,15160509,15160508,15160593,21105716,22229285,28891354,21615223,15585602,15585604,17264755,20804996,20804998,27967780,22009996,22009995,16096066,16096068,22230539,28303468,36798861,38412615,29840247,28472638,28472639,22229236,17089464,17089465,22230362,22230363,27096482,27096483,21105367,15160359,15160357,11179371,11179370,15151349,15151348,21093399,22229767,22229768,29577302,38143753,36720119,36720120,41702065,41702066,52013402,48323765,40309115,31620714,24115341,24115340,21092415,21092417,15151356,15151354,21093404,28302058,21093325,21092478,15150772,15150771,15585732,10781752,10781753,15585737,15150405,10448799,6888196,4324355,4324353,6888191,10448789,15150390,21091852,28300208,36529215,36529216,46389279,36796907,32788036,25090317,18544820,18544819,18544887,13176757,13176758,18544220,13176371,13176372,18543946,255049316,8981387,5863702,5863701,8981386,13175589,14514766,14514765,10418277,6867940,6867942,10418281,15105011,255803133,36719747,46607919,46607920,57984670,70702069,84253510,98146850,260491115,139287371,151994335,163862766,174680073,184302259,177894822,167400646,155768541,143216841,129887339,115989948,101945809,87973522,74371606,61595350,61595349,74371605,87973520,101945808,260723925,129887337,143216840,130239170,116402943,116402944,116402945 Dl.O(d2) = 109427195,95170897,81112631,67646335,55307383,55307382,67646333,81112630,81112621,67646327,55307378,44462301,44462302,44462303,44462304,257191090,81112627,95170896,81112625,67646330,67646329,81112623,95170895,109427194,123620977,109427193,109427192,123620975,137353515,128021347,114131892,260617229,100097483,86130079,86130080,100097478,100097479,86130076,72530662,59795452,59795453,48410626,38504847,256305980,16395255,11411516,7742611,7742612,11624327,11624286,7742584,7735481,7735483,11616209,11558675,7691957,7691958,11558681,16578081,18743307,18519018,13157945,8968561,5854780,5854779,8968556,13157937,18519013,16656106,11623675,11623674,16656105,22786460,16570675,11614324,11614323,13379372,9144931,9144930,11630126,11630127,11428725,7597477,7597478,4896905,4896906,7594479,4803992,267893507,255101159,22590733,29954651,28161387,28161386,20981742,15069663,10393009,6850215,6538228,4096451,2450736,1544096,877324,865764,491015,275771,152355,152354,152357,152354,152357,152352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8047043, s2 = 16053537, dlinesl.size( ) = 2 s1 = 8047043, s2 = 16053537, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8047043, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 2798651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6745358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6745358, s2 = 8116906, int(edited[s2]) = 0 s1 = 6745358, s2 = 8116906, d1 = 76, d2 = 118 Dl.O(d1) = 258022457 Dl.O(d2) = 259260664,256819803,28112401,255368303,10355361,10355360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4070999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13651793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13651793, s2 = 11653826, int(edited[s2]) = 0 s1 = 13651793, s2 = 11653826, d1 = 4, d2 = 6 Dl.O(d1) = 31921674,31921673,40637474,50696825,62217016,75040180,88691143,102700378,116793000,129503590,115618719,115618720,129503592,129503594,115618721,101578480,87611472,74007315,74007314,87611470,101578476,260696209,142820609,155402187,142820596,129503570,115618705,260696207,259483775,112209419,98231133,258204906,58045620,258023957,84323724,98231132,112209417,98231136,84323726,70764481,58045622,46670494,36784378,28288011,21081918,15143137,15143136,21081916,28288009,36784374,46670488,58045614,58045607,46670482,46670483,58045608,70764461,58045604,58045605,70764463,84323703,89943158,76137200,63131242,63131243,259602513,118231460,118231464,104072409,89943159,76137204,63131246,51433542,41235407,41235408,51433544,63131248,73335583,258829079,72427313,59691644,48304745,38394255,29821879,22454628,16285932,11327653,11327652,268094160,255139052,48304743,59691642,72427311,256472050,114011964,100355084,86398269,72802638,60064738,60064739,72802640,86398272,100355087,255970974,72802632,254376826,38746685,30163292,30163293,38746686,48668453,60064741,254562164,60064732,72802628,72802641,86398273,100355088,255970976,141606529,142429678,142429674,259451780,166771425,258827696,115127623,101052851,87056708,73438734,60690516,49289173,39362047,268255908,254851250,8032430,9091172,9091171,11981294,12001582,12001584,11357483,7545824,4772443,2876709,2876708,254384425,8061762,12005908,11979222,10509588,10509589,15234771,10954364,7250235,7250236,5174616,3156063,3156060,5168857,8074340,8033197,5122639,3112381,1818765,1818763,1838771,3143764,3156538,1847402,267796511,267903725,5103720,5103721,5103734,5103733,8015383,5122980,3112630,3112628,254822847,5148957,267795965,1831888,3133430,5148961,267990031,11325517,7521826,4755942,4755943,7405454,254351457,2818537,4678434,4755280,2865973,1663389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,3135351,1833152,1046185,588763,328564,328565,588766,1046202,1833199,3135092,3135091,254178147,588791 Dl.O(d2) = 99478,99480,181149,328586,588804,1046286,1833361,3100648,5107112,5233642,3194263,3194264,3140064,1836268,1047885,589594,328962,328961,589588,1047874,589599,589597,1047844,589574,589573,1047840,1836194,3139964,5113190,5113189,267745360,5110666,3135693,1833374,1046292,1046291,1833370,3135680,5151482,5149712,5143840,5106417,3100137,1811304,1034439,582882,582884,1034446,1811322,3100171,5106459,5178261,5178262,5117088,3108149,3101961,1812406,1812407,3101951,5038486,5038488,5150579,3134924,1832885,1046028,1046031,1832864,3107088,4994145,5111079,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762361,7528619,7528617,5152579,3157961,3157962,5176727,5234196,8164339,8060455,5152763,3136786,3136784,5105541,5105540,4680500,4680501,7407469,5174686,5174685,8079444,11164289,7405432,4678414,3125301,1826910,1042780,1042781,1035623,1035626,1813582,3103837,5111441,5173275,5173274,5136579,3123370,2870605,1665990,1665993,1821451,1832968,1832967,3103545,1813621,1813620,3103883,3111359,1818144,1038083,1038084,1818150,3111371,3148699,1841980,1051130,591192,591190,1051101,1841814,1841816,1816567,1816570,1848447,3157911,5107008,3104102,3104100,3099924,1811180,1811181,3099928,5106173,8017587,5154970,5123858,5123859,5110113,5110110,8021316,11975226,11985877,254553304,6475296,6475295,4058022,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792793,254804582,22964870,26914718,26914719,255125554,20031124,22957176,16720961,11679329,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405073,2429003,1405101,799612,799610,1405091,1732220,984771,984772,1732221,2983793,4944038,7796642,11095033,11095034,15982026,11680137,254247376,11989699,11989700,11679446,7787900,4937608,2979421,2979423,4937617,4908573,4908574,7750787,11095407,7784750,4934924,2977492,2977491,4934922,7784747,11676009,11995295,11995294,11672176,11672175,16713958,254804674,29967342,22602366,16419203,16419202,22602365,22625927,16440346,11916455,11916453,17003509,23267505,23285724,17026597,16261098,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17102790,17008101,17008103,22848065,16624124,16624125,22848070,29379194,30687922,23351839,23351837,28588261,30655399,23234182,23234184,22427792,22427794,22378080,16221807,16221809,17091269,16286860,16286861,22455249,23359459,17090777,12003296,8057421,8057422,12003297,8076592,5171697,5154545,3138362,1835117,1047251,1047252,1835119,3138365,3153616,3153615,5171699,5167180,5073444,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075436,7975684,11921439,17007887,23270694,23283856,17024717,11939804,11939805,10772147,7117501,4481301,4481300,7117498,7970683,7970684,10770295,10770294,11907199,7964309,7964310,7972855,11915590,15572210,15572209,15570920,15570921,21598669,23372038,22453314,16284107,12687376,12687375,11912389,7968465,7968466,11912392,12017586,11943845,7994418,7994419,11327320,11327321,11939491,8000346,7990655,5085957,5085956,7990653,11939404,17024477,23283735,17038975,17038973,23296952,28874853,28874854,22454165,22454166,29821516,23337354,17071169,11982557,11982558,254075046,29691138,22338515,16190769,11254598,7471064,4721409,4721412,5094406,3092142,3092143,5094411,8002196,10401639,6856733,6856734,10401645,15080245,17040073,23283364,29821176,28034124,255527010,28008484,36467407,38581766,255982072,38583523,31410021,30764431,30764430,39366036,38583931,38583932,36499374,33863870,28460748,26041906,26041907,33863873,42909400,41999511,33056063,25327455,25327454,33056061,41999510,52338693,49873586,39851420,31169493,23681247,23681246,26606497,34593648,43864341,52073526,256070526,28246963,36742879,46630697,55447928,257431528,31141999,39824670,39023969,30434423,27123214,27123215,35215882,31141942,31141943,29671716,28052597,20883658,20883660,28052605,36517135,35215367,35215365,36742760,36742761,42153814,42153484,33194493,33194494,36945667,38236993,32741871,25051633,18514864,18514862,25051624,25448861,25448862,31498994,31498996,33194774,33194775,29866219,22505531,16331649,16331648,22505524,29866209,38428371,46823604,36945665,36945661,38200101,38200100,257518619,53679633,43169408,43169407,52511505,50206512,50206513,59499429,59499428,59718801,48333596,38428358,29866198,29866197,32558753,41417749,46864470,55672684,44763317,35336942,27212712,27212713,27986156,36445617,46299010,57643740,46895149,255996394,10587371,10587370,15328955,11383779,7563100,7563099,7556362,4778196,4778197,7556363,11374156,267857750,22027038,15926111,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,1556484,1556483,1556368,1556369,2686834,2881164,2881162,4472424,2881077,1671820,951117,536338,300744,300745,536342,951126,1671835,2881107,4781056,7561082,7104500,7104501,10753491,15545385,11370162,7553758,4776799,4776802,254391236,7557608,11375875,15545118,14485773,9966923,7554002,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765154,4596467,7288980,11010756,15151664,15151666,21093783,22513187,22502808,16328575,16328574,16348867,15885103,11011624,11011623,11380841,11380839,12139497,8169140,5238307,5238308,8169143,12139503,17259534,16951196,11863813,11863810,16804066,15158284,10453825,10453827,15158294,21102742,17292374,12171196,8203242,8203241,8176163,8176165,12146365,8224404,5294810,3245927,1905240,1905239,3245923,5294797,8198594,12167112,16315419,22488164,29853535,23857558,17514396,12350673,12350672,17514393,20122905,20122906,27015307,29871842,27098410,20198889,14493324,9972244,9972243,14493321,20198886,27017513,27017515,27015023,23635963,23635964,21102648,21102647,16321315,11354998,7544442,7544443,11355002,16321322,16322730,22496686,16327327,11359130,11359129,16315108,16315107,22487817,29853267,22492684,22492686,29849824,29849815,22484558,22484557,22497173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13651793, s2 = 11653826, dlinesl.size( ) = 2 s1 = 13651793, s2 = 11653826, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13651793, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 2801478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2802626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3105702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3105702, s2 = 8356475, int(edited[s2]) = 0 s1 = 3105702, s2 = 8356475, d1 = 21, d2 = 134 Dl.O(d1) = 98257172 Dl.O(d2) = 271352944,128250632,114373085,100348876,258795394,88364780,256981916,60057345,60057346,256981914,100348875,114373084,128250629,128250626,128250627,259674388,271352944,128250632,114373085,100348876,258795394,88364780,256981916,72795946,86391835,100348878,114373086,259419498,154258821,261212612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3105702, s2 = 8356475, dlinesl.size( ) = 2 s1 = 3105702, s2 = 8356475, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3105702, Dl.E( ) = 138, 5.2e-05 seconds used appending s1 = 3105888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8118841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8118841, s2 = 7069429, int(edited[s2]) = 0 s1 = 8118841, s2 = 7069429, d1 = 80, d2 = 53 Dl.O(d1) = 255535616,21118173,21118157,21118158,28328535,36824140,269305351 Dl.O(d2) = 262150237 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3106519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3106741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3107088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3107088, s2 = 16185132, int(edited[s2]) = 0 s1 = 3107088, s2 = 16185132, d1 = 19, d2 = 4 Dl.O(d1) = 98288900 Dl.O(d2) = 39322810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3107088, s2 = 16185132, dlinesl.size( ) = 18 s1 = 15033760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15033760, s2 = 9597641, int(edited[s2]) = 0 s1 = 15033760, s2 = 9597641, d1 = 92, d2 = 111 Dl.O(d1) = 266361405,232999082 Dl.O(d2) = 258000471,46361127,36503017,28039681,20871706,14969432,10301629,6773932,6773934,10301633,14117066,16191033,16191034,14969430,14969431,20871705,28039679,36503016,46361125,258624535,259250689,111712701,125520093,138853092,151555890,163438843,174287120,183949995,192417407,264150751,205873523,210973677,215141666,218574317,265347235,226084150,227951217,229591296,231048677,232356622,233539292,234614454,235593679,236485881,237299990,266718509,239331928,239900953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15033760, s2 = 9597641, dlinesl.size( ) = 28 s1 = 8557744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8557744, s2 = 12241050, int(edited[s2]) = 0 s1 = 8557744, s2 = 12241050, d1 = 184, d2 = 165 Dl.O(d1) = 154772037,142139937,260857194,114891338 Dl.O(d2) = 67761301,55421293,257919125,81227397,95284971,258539527,55421293,44574090,256973906,9976778,6557263,6557262,6556121,254317673,254153603,807895,1420149,2456735,4107202,254474057,2457335,2457336,4108126,267818089,1420140,1420141,807930,807931,1420219,2456796,2456795,2457517,1420614,808158,457947,258178,143073,78500,78499,143070,258170,457932,808138,1420570,2457423,1420606,1420604,2457496,4108381,4107495,2456908,2456907,2457318,1420513,808111,808110,1420510,2456945,4107553,2456944,2456943,4107550,2457311,1420507,1420506,2457309,4108088,6557413,9976982,9975646,9975647,268111702,9975659,9975660,9976759,6557245,4107963,4107964,6557248,9976760,9975936,6556633,4107537,4107535,6545883,9959739,14475419,20175345,27070492,35156438,44532672,44571917,55419096,44571939,44571940,35195809,35195808,44574007,55421223,44574023,35195823,27106378,20206010,14499072,14499071,20206007,20175306,14475396,14475397,20175311,27070434,35156357,44532577,55378822,44572411,44532656,35156422,27070478,20175335,20175336,27070481,35156429,256824929,36634585,46501696,43888960,43888959,54632162,44571130,35193098,27104066,27104067,256753653,257918843,51903817,41604027,32701208,32701206,41604023,51903812,55419132,67758207,55418236,44571125,35193093,27104064,20204045,20204044,27104058,27078611,27078612,33158274,32701245,32701243,35194702,35194703,44572765,35194661,269063251,41604088,51903883,63710551,256963384,63710543,51903878,51903879,55419129,52465362,42112771,33158268,25417283,25417282,33158267,41604052,41604104,32701256,25017774,18487869,18487868,25017769,256612459,32701205,32701204,41604020,51903807,63710490,60196123,60196124,67759981,67760018,256063636,77785187,75532774,255215334,63050025,75538919,255608804,63909786,63909787,77021296,63909788,63909789,77021299,90900963,104848742,269026224,77785184,257166456,256098632,51904317,48822140,48822141,44571778,35193707,27104545,268287120,9975599,6556359,4107356,4107357,6556361,268049535,20204429,27104565,35193555,27104392,20204289,14497625,254693669,6556326,9975546,255169692,254590462,14497653,9975563,6556335,4107339,2456818,1420197,807919,457806,457807,807921,1420203,2456829,4107363,6556371,9975620 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8614178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8614178, s2 = 3160770, int(edited[s2]) = 0 s1 = 8614178, s2 = 3160770, d1 = 77, d2 = 18 Dl.O(d1) = 164149157,261633259,126157063,112297171,98314565,84404902,258029709,46765414,256302683,21171443,15212820,15212819 Dl.O(d2) = 99615466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8614178, s2 = 3160770, dlinesl.size( ) = 14 s1 = 11658248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2478947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6599282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10198728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8190390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8190390, s2 = 16248355, int(edited[s2]) = 0 s1 = 8190390, s2 = 16248355, d1 = 0, d2 = 0 Dl.O(d1) = 256965980,58184816,70897985,84454332,98363670,112345910,126206210,139580951,152310323,164193174,175008561,184608860,192992209,263172540,206256315,211277248,215379991,215379990,218770222,215379997,215379996,215379992,215379993,274103864,224090070,226221473,228076996,229705211,266002984,230574257,229048115,227319221,225340682,223063300,220422957,217314522,265026612,264547202,196841718,189091855,180142307,169967654,158602810,261801852,119164010,104970649,90794406,90794407,90794408,258190144,63812989,259001535,90794410,104970651,119164011,132997248,146229246,158602811,257758618,257169654,118503935,104321301,90170500,76343900,63314076,51591839,254294332,32519689,41367990,43375364,34276477,34276478,43375366,53899161,65965375,79328717,89355792,75594632,62652087,51025937,40888604,32114996,32114997,40888605,268125160,62652086,75594630,75419704,62500554,50900218,40783526,32026987,32026986,40783525,256532038,75419702,62747985,62747986,256083000,103559219,257147216,89460518,89460519,103559217,117694657,117694658,131501104,125541510 Dl.O(d2) = 256965980,58184816,70897985,84454332,98363670,112345910,126206210,139580951,152310323,164193174,175008561,184608860,192992209,263172540,206256315,211277248,215379991,215379990,218770222,215379997,215379996,215379992,215379993,274103864,224090070,226221473,228076996,229705211,266002984,230574257,229048115,227319221,225340682,223063300,220422957,217314522,265026612,264547202,196841718,189091855,180142307,169967654,158602810,261801852,119164010,104970649,90794406,90794407,90794408,258190144,63812989,259001535,90794410,104970651,119164011,132997248,146229246,158602811,257758618,257169654,118503935,104321301,90170500,76343900,63314076,51591839,254294332,32519689,41367990,43375364,34276477,34276478,43375366,53899161,65965375,79328717,89355792,75594632,62652087,51025937,40888604,32114996,32114997,40888605,268125160,62652086,75594630,75419704,62500554,50900218,40783526,32026987,32026986,40783525,256532038,75419702,62747985,62747986,256083000,103559219,257147216,89460518,89460519,103559217,117694657,117694658,131501104,125541510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8190390, s2 = 16248355, dlinesl.size( ) = 2 s1 = 8190390, s2 = 16248355, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8190390, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9691363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3112581, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3112954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3113331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 230617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9129023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349573, s2 = 7978214, int(edited[s2]) = 0 s1 = 10349573, s2 = 7978214, d1 = 11, d2 = 12 Dl.O(d1) = 34580551,34580552,257284563 Dl.O(d2) = 268915412,4476590,2689537,2689536,4476593,7109869,10760633,15557070,255329971,14427054,20117240,27008801,256068263,24561406,27009007,35095383,44472073,35095235,27008872,27008871,27009014,23260855,23260856,20117461,14427213,254690253,4086831,2445023,1413699,804319,804318,1413698,2445021,4086825,6522547,9924210,9924189,9924190,14427175,20117406,27008952,35095334,44472173,257669590,255194493,8520206,5518478,5518477,8520204,12565174,12214300,8244702,5316349,3265454,1919350,1919349,3265450,5316336,8244671,12214242,17172907,17172906,17172870,12074540,255538981,29996286,22627559,22627558,29996284,30041071,30041070,38614945,46684568,48948394,39025672,30436074,30436073,29513168,22171878,22171877,29513163,30032721,22658098,22658099,23883568,17537056,17537058,23883577,31380613,40063430,36714925,28222201,21026975,21026977,28222205,29782829,29782830,24163352,17795625,12596310,12596311,17795630,24163358,31673045,38606525,256376964,40063458,33428301,25659913,19040855,13592064,9306861,9306860,13592061,19040850,23883587,23883588,30032744,31673188,31380585,31380584,38606430,30032805,22658180,22658181,23883671,23883669,24163552,17795789,17795788,15102842,254717335,4309922,2577121,2577119,4309921,6867022,10416813,15102836,15102856,10416823,6867027,4309924,4309925,6867029,10416828,254611795,5545687,8547281,12596261,8547374,5545742,3431442,2029111,2029112,3431445,3814374,6096521,9306868,12369073,8357980,5394663,3317257,1951527,1115034,1115033,1951525,3317253,5394653,8357964,12369052,17537140,23883653,23225525,255070502,12369012,12369013,17537089,23883619,23883641,23883665,23883666,31380671,30436188,24270187,24270186,23119838,16860062,12596269,12596270,12369089,12369088,16787061,11737666,11737667,16025719,11864548,11864549,7929610,5040779,3051760,1777787,1013537,571317,571318,1013541,1777798,3051784,5040825,7929701,11864778,10720351,10720352,254099582,2678765,1551667,1551665,2678760,4459098,7082539,10720338,11864570,7929372,7929371,11864563,8357967,5394656,5394655,7836592,7836591,11737540,16427054,16952388,11864822,11864823,16952390,23225687,23225475,16952169,16952005,11864637,11864638,11865026,16952599,21511064,22034043,22034044,23188397,16921893,16921892,23188393,21511074,19841710,19841712,16952113,16952114,17176986,12077422,8121337,5202946,3174308,1858246,1858244,3174300,5202935,7836589,11055981,11055980,7929207,7929205,11864302,16903292,11829184,11829186,16903298,14930655,14930656,20829245,27993582,28772443,28772442,22034354,16952186,254816407,7929413,11864643,11442373,7608867,7608866,255103117,22611269,29978000,23029420,16786878,16786879,255138638,37296765,37296764,28763902,21504016,15496263,10716663,7080245,7080243,10716662,15496261,21504014,28763899,37297117,47204279,57723522,70418497,60608354,49207871,39281522,39281521,49207869,47204260,37759798,255868985,15809649,15809650,21885957,29198294,37759808,39281469,30684516,30684517,256302769,15213327,15213328,21172104,28391322,23631304,23631303,23631310,17315302,12190607,12190608,17315303,23631313,31117910,257050965,256519641,23828015,23828016,30071719,30071875,38647688,48563035,38647593,30071772,29690513,22338020,22338019,22691809,30071548,36878173,28381900,28381899,36878172,46756873,58125249,256969738,39708844,31031929,23550837,268231372,256484484,2929190,4860816,4895138,4895137,7732376,11612707,16412615,11428356,7597143,7597144,11428360,11412923,7590428,7589520,7589521,4868930,2933942,2933943,4798695,2892451,1678736,955038,538488,538489,548139,306867,306868,548145,973595,1711097,1711099,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680974,2896883,4806621,4901037,4901038,254538971,2898656,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,1404579,2428028,4056276,4056273,6472707,9853822,255322015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349573, s2 = 7978214, dlinesl.size( ) = 14 s1 = 7978215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7978215, s2 = 10349572, int(edited[s2]) = 0 s1 = 7978215, s2 = 10349572, d1 = 13, d2 = 10 Dl.O(d1) = 255322014,7878055,5001994,3022909,3022912,3022939,3022934,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,19818172,254538970,22783645,16567959,11549957,9692081,8580445,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,16052070,19650176,15541528,12027972,12027973,11838610,11837842,11837843,11415618,7586660,6373562,6373563,9689537,6373495,6373494,8089043,12032319,17120577,17120579,23392441,19653383,14087136,9689547,6373502,6373503,9689552,14087147,17119244,17119245,17119248,12030255,256484485,268231373,16467555,22661938,30037445,256969739,48668894,38747096,30163657,30163656,37972547,38611949,30037356,22661859,22661858,30037355,38612011,48527982,59921972,58024074,58024075,58024076,63410842,51667532,48618818,256519640,257050964,38563641,29993399,29993398,29955432,29955431,31724644,31724643,38563137,37977965,37977964,47895298,38563504,38563503,256302768,39395613,39395612,39830482,31148339,31148340,39830484,37755796,37755795,255868984,43217778,39830501,39830500,41054402,49323710,60725825,73473902,62861235,51211439,41054389,41054390,51211441,43217787,38421715,29854404,22489246,22190158,16062428,16062429,22190160,29533104,30647011,23224934,255138639,5040489,5040488,7329895,11054496,15931278,255103116,22034243,23224976,30647033,29205588,23029470,254816406,11054717,7330049,4630482,4630483,7330039,7330040,7331124,7331123,11056121,15931443,11056296,7331279,7331280,11056298,7929145,5040530,3051639,1777723,1777721,3051631,3051813,3051814,5040877,7929758,11055110,7330314,7330315,11055117,7330749,4630921,2789767,2789768,4630926,4631089,4631091,7330931,7330640,4630843,2789723,2789724,4630848,4630897,7330713,11055481,11055482,7330876,4631036,2789840,1618528,1618527,2789838,4631030,3051641,1777726,1777727,3051644,5040539,7330726,7330798,4631167,2789925,1618572,920628,519118,291094,161068,88566,88568,161073,254099583,920644,920643,1618598,2789975,4631254,7330706,4630894,4630893,3004639,3004638,4974461,4630612,4630610,7330268,11055035,7330339,7330337,5041016,3051896,3051895,5041015,7929920,11054582,15931415,11056173,7331176,7331175,11056171,11865214,11865213,15932687,11055715,11055713,15932114,15932113,22033405,29363854,22034075,255070503,11055692,11055582,11055581,11055201,11055200,15932094,11863958,11863957,11863967,11863968,11864218,11865248,7929898,7929897,11865246,16952833,23226141,21172050,21172048,28391254,29363788,29363545,29363546,22333005,16186156,11251112,11251113,254611794,29364148,29364794,22034314,15932896,11055918,11055917,15932894,16186170,11251119,7468590,7468589,11251117,16186165,22333017,254717334,11054517,11054516,15931309,22032737,23226130,23226132,29364811,29364810,37930471,29363804,29363803,28480471,28480472,36977816,31429651,31429650,29364787,29363516,22032697,15931283,11054498,11054497,15931280,22032692,29363509,256376965,30647776,29363648,22032836,22032837,29363652,23284161,23284160,23423277,17146192,17146191,23423273,30854014,23942755,17598087,17598088,23942758,28995109,22412972,17598017,17598016,23942670,29364359,29364700,22817953,22817954,30209886,23224841,16951505,11864053,8395334,8394774,5417335,5417334,8394771,12420474,17596488,23940748,31431852,31082828,23598950,255538980,8196842,12165483,12165531,12165532,12165556,8196886,5266884,5266885,8196888,8343531,8489018,12527379,17709603,12527367,8489010,8489011,11061540,15940826,17703609,255194492,257669591,43002765,41704784,32789299,25091322,18545540,18545541,25091324,30540209,30540210,39139299,40109573,40109572,42185419,42185420,52544226,60473066,60473068,254690252,41478004,32600480,32600479,41478000,46697614,50249847,50249848,61728517,63525000,51746946,41477864,32600359,256068262,51746979,47302301,37393070,255329970,21580602,28852807,21597576,15569946,10769453,10769454,15569943,268915413 Dl.O(d2) = 257284562,40774933,40774932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7978215, s2 = 10349572, dlinesl.size( ) = 14 s1 = 6917247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9498478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1358349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 278933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 278933, s2 = 10660740, int(edited[s2]) = 0 s1 = 278933, s2 = 10660740, d1 = 51, d2 = 54 Dl.O(d1) = 6978836,258039173 Dl.O(d2) = 28840681,30375117,254554600,23649425,17332485,12207352,12207351,17258989,16350176,11377524,7558841,4779727,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,16354619,16354617,22527445,29882809,29884060,22529408,16356764,254581282,29884058,31350940,31350957,31115726,31115725,23629110,17313167,17313168,21979077,21979076,22506182,23567784,31051928,254395160,22511468,16337651,16337652,17301769,12179821,8211861,5283059,5283058,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433313,20125095,16787426,11737932,7836830,7836826,11737925,16277712,17587923,21568541,21568527,15546287,10752088,7546895,4773045,4773043,7546883,11348989,16311808,16311842,16311840,22483501,16951141,13851441,13851443,19364919,22480568,16309385,16309387,22480572,29846636,37976877,47894475,38318263,38318264,38415333,29845457,29845458,29853827,22488525,16315742,11351475,11351476,16315747,22488534,29853835,29842391,22475293,22475297,29413558,22497177,22497178,16323151,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542427,11351285,16315423,22488168,254838580,11345715,7539415,7539419,11345722,11346593,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,23586090,22475499,22475496,21295442,21295441,28516558,21297319,15329992,15328645,15328648,15328721,21295571,28516675,29847087,29307016,28515995,21294845,15330325,10588121,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 278933, s2 = 10660740, dlinesl.size( ) = 22 s1 = 6747553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6747553, s2 = 7089671, int(edited[s2]) = 0 s1 = 6747553, s2 = 7089671, d1 = 11, d2 = 15 Dl.O(d1) = 258041275 Dl.O(d2) = 139699872,152425598,164300319,175101673,263236802,262411838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6747553, s2 = 7089671, dlinesl.size( ) = 2 s1 = 6747553, s2 = 7089671, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6747553, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 2813837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8571527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9717342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3116877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8715012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180799, s2 = 6208612, int(edited[s2]) = 0 s1 = 10180799, s2 = 6208612, d1 = 0, d2 = 60 Dl.O(d1) = 58288535,46922976,37045112,28545644,28545645,37045113,46922979,58288537,71003524,84567409 Dl.O(d2) = 266712491,239281401,239854428,240383414,240874162,241328668,241749770,242138724,242499439,242835269,243147805,243440790,243713231,243965118,244199378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180799, s2 = 6208612, dlinesl.size( ) = 2 s1 = 10180799, s2 = 6208612, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10180799, Dl.E( ) = 62, 1.72e-05 seconds used appending s1 = 6478022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8300629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6853701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9159355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2580120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2580120, s2 = 7240223, int(edited[s2]) = 0 s1 = 2580120, s2 = 7240223, d1 = 39, d2 = 29 Dl.O(d1) = 72879392,86474857,100432023,258066990,98531033,112525536,112525525,98531024,98531023,112525510,98531014,84606391,257456082,98530994,112525488,126395608,112525512,98531015,98531006,84606383,71042446,58326888,58326889,46959557,46959558,268920028,71042435,58326884,255834808,255035492,255035494,37078951,37078961,28575169,28575168,28575171,28575170,37078963,37078954,28575165,21346449,15371206,10621162,10621163,15371208,21346453,28575173,37078965,46959564,58326895,71042459,71042441,71042443,259917055,112525542,100785694,260059279,114837817 Dl.O(d2) = 264432910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2580120, s2 = 7240223, dlinesl.size( ) = 14 s1 = 9674090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2817691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2818257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2818257, s2 = 6932208, int(edited[s2]) = 0 s1 = 2818257, s2 = 6932208, d1 = 61, d2 = 137 Dl.O(d1) = 84634882 Dl.O(d2) = 260261931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6641009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6641009, s2 = 8412635, int(edited[s2]) = 0 s1 = 6641009, s2 = 8412635, d1 = 59, d2 = 41 Dl.O(d1) = 256859045,58358954,71075542,84638484,259918487,126424556,139797851,152515266,272179524,112555297,98561733,98561732,112555295,126424551,139797848,126424558,112555300,98561738,259918487,126424556,139797851 Dl.O(d2) = 115172292,101094971,259376692,60731176,49329245,39401011,257028279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6641009, s2 = 8412635, dlinesl.size( ) = 40 s1 = 1786463, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3120922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3120922, s2 = 13648842, int(edited[s2]) = 0 s1 = 3120922, s2 = 13648842, d1 = 9, d2 = 9 Dl.O(d1) = 98572884,84649678,71086989,58370498,257437926,28604892,21371014,21371015,28604894,37114278,47000102,47105358,49269338,39343695,30744586,29563331,27224492,20296064,18071989,12811977,8711032,8711031,12811972,15223917,17251236,17251235,23561815,29564221,22770389,18979180,18979181,23757014,23757012,22218610,22218611,29564281,38129906,48042929,59434733,72173242,85767510,99721592,113736231,127605163,113736221,99721582,85767495,72173233,72173232,259371317,260589411,127605157,140954715,127605185,113736230,113736231,127605163,113736221,113736220,127605158,140954716,262229665,263145885,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082405,165401463,153621317,140954750,127605187,127605189,140954754,140954742,260961384,99721590,259989409,127605183,140954743,153621305,165401453,176082399,185545499,176082387,176082388,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082405,165401463,153621317,140954750,127605187,127605189,140954754,153621302,153621309,165401415,176082357,165401472,153621325,140954760,140954759,262229667,165401430,165401429,263009100,165401453,176082399,185545499,176082387,176082388,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082409,165401471,153621324 Dl.O(d2) = 98572884,84649678,71086989,58370498,257437926,28604892,21371014,21371015,28604894,37114278,47000102,47105358,49269338,39343695,30744586,29563331,27224492,20296064,18071989,12811977,8711032,8711031,12811972,15223917,17251236,17251235,23561815,29564221,22770389,18979180,18979181,23757014,23757012,22218610,22218611,29564281,38129906,48042929,59434733,72173242,85767510,99721592,113736231,127605163,113736221,99721582,85767495,72173233,72173232,259371317,260589411,127605157,140954715,127605185,113736230,113736231,127605163,113736221,113736220,127605158,140954716,262229665,263145885,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082405,165401463,153621317,140954750,127605187,127605189,140954754,140954742,260961384,99721590,259989409,127605183,140954743,153621305,165401453,176082399,185545499,176082387,176082388,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082405,165401463,153621317,140954750,127605187,127605189,140954754,153621302,153621309,165401415,176082357,165401472,153621325,140954760,140954759,262229667,165401430,165401429,263009100,165401453,176082399,185545499,176082387,176082388,173080087,161929098,161929097,173080085,263417217,264114861,264499536,263784506,176082377,176082378,176082409,165401471,153621324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3120922, s2 = 13648842, dlinesl.size( ) = 2 s1 = 3120922, s2 = 13648842, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3120922, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7556653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6748372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6793749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9445225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2820680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2146980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8754186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8754186, s2 = 14252570, int(edited[s2]) = 0 s1 = 8754186, s2 = 14252570, d1 = 15, d2 = 11 Dl.O(d1) = 218159091,264668615,273819649,191405817,182753527,172854365,161696308,161696309,172854367,182753531,191405819,198851558,205157270,264668619,214649008,215464910,211370500,206361545,200304250,193132433,272978150,261416990,139849496,259635920 Dl.O(d2) = 269780155,37147099,28633026,21393933,15408799,10650770,7032646,4424281,2654724,267882885,21393909,258051663,71126329,84690621,98615221,261101903,152562700,164421230,273330889,193132429,200304243,264727519,263861506,263104234,183130974,183130973,261662268,260533692,258061672,256871070,43966346,34691100,26696443,19876089,19876090,19055846,19055843,19778081,19778082,22715137,22715136,18660089,13268681,13268680,10657589,10657587,15417542,255832525,17084974,17084973,23352509,256481513,49305496,60707835,73456203,87073877,85774828,72180516,72180515,257163060,60528232,73272908,73373673,255718302,39299858,255307726,60628036,256708444,100971990,115027858,109794746,109794747,106003983,91809649,77887989,77887990,64698860,52785073,256658473,33397114,42385948,42385949,52785069,52785068,64698854,61710713,50230496,40209568,40209569,50230499,61710718,50230507,50230492,40209565,40209564,50230411,40209497,40209498,42616166,33592173,256177224,13674729,19150698,25796230,33592178,31432918,31432919,40111595,31432900,31432901,28163590,256287047,30870530,256307967,10525070,10525071,15255826,21225987,28452871,29430860,30033936,31674972,24165444,24165410,17797671,17797669,24165406,31674915,32802372,25100586,18552069,18552070,255885777,25100589,25100590,21924359,21924360,29243923,37808180,36953227,28452855,28452854,31674939,25340400,24165447,17797690,12598140,8549079,5547688,5547687,8549077,12598133,255587099,31674945,28452838,21225968,15255816,15255817,21225971,28452844,22099188,15989897,11100200,11100201,15989901,22099194,29430872,268938935,58197379,46831344,43212421,268521597,19540270,13991562,13991563,19540272,26259334,26259253,26259252,31217204,23732931,17408377,17408378,13181783,8985335,8985334,13181781,18552078,25100601,28319084,28319085,29305019,29305020,33275447,33275446,257204879,33275458,25515105,18905082,13473491,9215016,9215017,13473493,18905087,25515113,33275473,25515123,18905094,13473496,9215019,6033584,3774566,3774565,6033583,9215018,13473494,18905091,25515117,256648829,52640429,64539529,59917457,59917458,72657474,255900300,255900302,72216060,59479023,59479024,59479030,48523835,48115687,38204850,38204849,38177770,29610918,29610919,38177773,40501087,40501086,50536243,62027839,59503399,48115629,48115628,59503398,72238454,70910048,58197336,58197335,59478988,48115685,38204848,38204839,38204840,48115680,48115675,38204837,38204836,48115672,59503441,59479002,59479003,48115696,48115695,48523850,38608344,38608345,48523854,59917427,72657454,72216064,72216063,85809827,72657469,59917448,58197322,46831288,46311040,46311041,57655624,70346150,83871412,70910010,70910011,84466248,258751648,112357230,98375315,84466301,70910072,58197357,58197358,70910075,84466310,97781909,85830661,72238469,72238468,257108018,257108020,88504281,257691206,50577587,40541466,40541467,50577590,62069826,55258992,55258991,67600693,67600676,55258975,44411412,44411411,55258974,62069957,74868237,70453288,70453287,257108012,44399828,35024499,26943737,20058337,20058340,21779205,15720192,15720191,21779203,29077121,24324009,24324008,31843676,31843548,31843549,40541646,50577767,62069974,62069815,62069816,67600647,257108016,70699322,70699323,73412933,77870410,77870409,91792968,81054685,81054684,95112049,109366180,109368316,98375291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8754186, s2 = 14252570, dlinesl.size( ) = 12 s1 = 2147541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9495038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6748849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13430059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2965771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3123996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3123996, s2 = 2223401, int(edited[s2]) = 0 s1 = 3123996, s2 = 2223401, d1 = 33, d2 = 66 Dl.O(d1) = 98661248 Dl.O(d2) = 3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010412,4983778,3010483,3010486,4984014,7852339,11760789,16813634,16813635,22622477,16437432,16437433,22622480,256422559,48473418,48474113,269405866,22622895,29990825,38560919,48474116,59865729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3123996, s2 = 2223401, dlinesl.size( ) = 64 s1 = 6833133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6833133, s2 = 6861274, int(edited[s2]) = 0 s1 = 6833133, s2 = 6861274, d1 = 278, d2 = 279 Dl.O(d1) = 259005534,84756404,84756403 Dl.O(d2) = 259371500 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9526836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13400223, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 28782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3125277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3125399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3651841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9446346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9446346, s2 = 15870094, int(edited[s2]) = 0 s1 = 9446346, s2 = 15870094, d1 = 1, d2 = 1 Dl.O(d1) = 2341502,2341357,2341359,2342699,2342701,3913184,3954590,3948462,3948465,3743893,3743895,2364463,2364465,3948643,6301610,8756516,8756518,9127414,9127417,13355858,12721183,12721179,13377607,9143410,9143413,6248217,6248219,3989924,3989927,5860107,8976330,5990444,5990446,9153396,9150434,5988274,3744418,2241407,1299692,741669,741671,1299661,1343321,1344007,1344009,1344224,1344225,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,2318580,2341497,2341310,2341309,3910324,255702625,33926856,42980310,53454445,270574873,121696171,135640174,262034937,262986311,191076923,184828102,262173092,261102838,112702466,98706865,84778954,71210340,58488858,58488857,71210338,84778952,98706860,112702457,126566582,139930807,261654078,175265345,184828098,193177638,200343754,206397151,211083368,206002458,199857795,192589219,272352816,125745326,258991560,97986219,111925468,112702462,258676934,71210339,58488858,47111049,37214259,28689596,21438990,254732806,7052587,7052586,9925019 Dl.O(d2) = 2341502,2341357,2341359,2342699,2342701,3913184,3954590,3948462,3948465,3743893,3743895,2364463,2364465,3948643,6301610,8756516,8756518,9127414,9127417,13355858,12721183,12721179,13377607,9143410,9143413,6248217,6248219,3989924,3989927,5860107,8976330,5990444,5990446,9153396,9150434,5988274,3744418,2241407,1299692,741669,741671,1299661,1343321,1344007,1344009,1344224,1344225,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,2318580,2341497,2341310,2341309,3910324,255702625,33926856,42980310,53454445,270574873,121696171,135640174,262034937,262986311,191076923,184828102,262173092,261102838,112702466,98706865,84778954,71210340,58488858,58488857,71210338,84778952,98706860,112702457,126566582,139930807,261654078,175265345,184828098,193177638,200343754,206397151,211083368,206002458,199857795,192589219,272352816,125745326,258991560,97986219,111925468,112702462,258676934,71210339,58488858,47111049,37214259,28689596,21438990,254732806,7052587,7052586,9925019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9446346, s2 = 15870094, dlinesl.size( ) = 2 s1 = 9446346, s2 = 15870094, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9446346, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8178889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1441719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2824610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3126404, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1794355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1794355, s2 = 8396741, int(edited[s2]) = 0 s1 = 1794355, s2 = 8396741, d1 = 27, d2 = 23 Dl.O(d1) = 47148919,258060149 Dl.O(d2) = 260531971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1794355, s2 = 8396741, dlinesl.size( ) = 34 s1 = 6749461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7638702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2827141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6904247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6904247, s2 = 5182370, int(edited[s2]) = 0 s1 = 6904247, s2 = 5182370, d1 = 35, d2 = 51 Dl.O(d1) = 259932937 Dl.O(d2) = 215509693,218889732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6904247, s2 = 5182370, dlinesl.size( ) = 22 s1 = 3128864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3128864, s2 = 14019884, int(edited[s2]) = 0 s1 = 3128864, s2 = 14019884, d1 = 21, d2 = 54 Dl.O(d1) = 98800166 Dl.O(d2) = 278609,254077922,254226233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3128864, s2 = 14019884, dlinesl.size( ) = 26 s1 = 6749741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6749741, s2 = 10353025, int(edited[s2]) = 0 s1 = 6749741, s2 = 10353025, d1 = 6, d2 = 6 Dl.O(d1) = 258062411,259313811,112794664,126653350,261662916 Dl.O(d2) = 258062411,259313811,112794664,126653350,261662916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6749741, s2 = 10353025, dlinesl.size( ) = 2 s1 = 6749741, s2 = 10353025, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6749741, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10353024, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6969179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6969179, s2 = 6513492, int(edited[s2]) = 0 s1 = 6969179, s2 = 6513492, d1 = 46, d2 = 40 Dl.O(d1) = 260735078 Dl.O(d2) = 255431256 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2827800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2827800, s2 = 529566, int(edited[s2]) = 0 s1 = 2827800, s2 = 529566, d1 = 50, d2 = 119 Dl.O(d1) = 84878105 Dl.O(d2) = 13469934,9211672,9211673,9211652,6030747,6030745,9211648,13469903,13469917,18901475,25511694,257204655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2827800, s2 = 529566, dlinesl.size( ) = 28 s1 = 8341105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8341105, s2 = 14481328, int(edited[s2]) = 0 s1 = 8341105, s2 = 14481328, d1 = 16, d2 = 14 Dl.O(d1) = 36805132,36805133,46689218,58062314,70779991,84338721,98245857,112224042,112224043,112800827,112800828,98807982,84879115,270351556,126659585,261236618,140014587,126659587,112800829,98807983 Dl.O(d2) = 441965,779092,1368056,2362580,3946086,6298716,254952577,13971187,19517519,26233770,34096089,43180389,53691218,65747782,258894296,59934617,48541900,256532622,16480072,16480071,22677064,30053164,26575918,19773664,14163464,9737491,6403369,6403373,9737483,14163446,19773635,17080147,11992487,8044156,8044155,11992168,11992169,17079669,23346484,19773556,19773557,26575787,28958545,21677048,21677049,26579930,19776939,19776940,26579934,28433731,26578712,19775894,19775892,23344206,30767392,23345847,23345846,23345930,23345931,23345793,17079103,17079105,23345796,19776092,14164983,14164984,19776094,26578941,34562739,26575829,19773591,19773590,26575825,23346448,23346449,23344368,23344369,30767532,30768900,23345784,23345783,30768899,30767939,23344793,23344794,19776516,19776515,26579430,34562871,26575987,255561536,9737513,9737516,14163510,14164595,19775508,26577371,26578757,34565400,31585429,24079556,17722355,17079429,17079428,21375241,21375240,23335113,29314856,30086944,26585381,26575793,22553629,16376531,11397392,9738008,9738007,14164413,19775204,19775294,26578039,34564848,34566027,26579548,19776608,14165355,14165356,19776610,26579552,30766194,26577887,256196525,34563351,256475062,255526990,13683365,9370699,9370696,13683357,19162140,25810143,27134373,23164394,23164393,23164389,23164386,23347530,17080465,17080466,23347538,29749030,22389196,22389194,23451450,17174728,15631105,10816964,10816965,15631109,21667119,28946433,30776179,23352387,23352388,23451306,17174625,12075788,12075789,11717018,11717017,16764528,22869343,16641455,16641453,22869336,19679803,14108353,9704714,6383359,4005204,4005203,6383355,9704705,14108335,15545880,21568050,28839529,29669952,29313792,29313793,23766278,23766277,23840679,268400906,40010634,50029225,58123122,58070206,49108657,39179046,30581290,30581293,39179049,49108661,60511788,73258018,86472873,72877295,72877290,60140568,255583100,30242586,22848808,16624646,11596251,11596250,16624644,22848803,30242578,38351393,38351395,46818624,36940735,28441254,28441253,36940732,46818619,58185008,49315183,49315184,60717114,49315196,39387387,30785214,23360055,17091341,17091340,23360054,30785212,39387383,49315189,49315188,49315187,60717116,73465024,87082217,87082215,87082214,101078286,115154168,115154169,260648240,87082219,73465025,73465026,87082221,87082211,259259070,91304773,77386123,64235748,64235747,52380139,42036625,42036624,33088934,25356281,18774248,13370290,9138074,5979903,5979904,9138075,13370292,18774250,25356286,33088937,42036630,52380141,64235753,257734492,77386130,89926241,91304780,105522803,116417847,102325188,88329371,256595298,47776413,37853204,29285042,24774655,24774656,32397694,255229018,47776336,51417771,51417770,256083414,59797657,257734490,100099934,258348022,101154494,99648897,85700085,85700084,73538405,60791312,49390706,39462264,30857394,255536829,8102840,5191678,5191677,8102838,12051928,255536825,268664957,49390695,258220887,60791304,73538394,60791303,257032427,258220885,259356149,258107133,256916931,15901968,11024174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8341105, s2 = 14481328, dlinesl.size( ) = 10 s1 = 2828162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2828162, s2 = 14232697, int(edited[s2]) = 0 s1 = 2828162, s2 = 14232697, d1 = 101, d2 = 16 Dl.O(d1) = 84894392,98821366,88408399,74776846,74776845,88408397,88408375,81085196,81085197,95142660,88408381,74776834,74776835,67619500,67619501,81085192,95142652,102408614,116503924,105483294,91260960,91260961,105483298,119722434,128593098,114695847,100650446,86677651,73073065,60332582,60332581,60332584,60332585,73073071,86677661,100650462,88408371,88408370,102408586,88496375,74859416,62060707,62060706,74859414,88496373,101806056,115852382,116503926,102505108,88496382,88496383,102408612 Dl.O(d2) = 9314076,6101338,3817575,2287082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2828162, s2 = 14232697, dlinesl.size( ) = 32 s1 = 3129687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3129687, s2 = 2154994, int(edited[s2]) = 0 s1 = 3129687, s2 = 2154994, d1 = 2, d2 = 7 Dl.O(d1) = 98822257 Dl.O(d2) = 58588120,47196781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3129687, s2 = 2154994, dlinesl.size( ) = 2 s1 = 3129687, s2 = 2154994, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3129687, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8397113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8397113, s2 = 7884848, int(edited[s2]) = 0 s1 = 8397113, s2 = 7884848, d1 = 28, d2 = 3 Dl.O(d1) = 11506021,7654016,254502792,10484413,10484412,254502790,255039048,28757644,28757645,37291247 Dl.O(d2) = 12800190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8397113, s2 = 7884848, dlinesl.size( ) = 2 s1 = 8397113, s2 = 7884848, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8397113, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 2828629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3405988, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8306895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8646214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8646214, s2 = 8754196, int(edited[s2]) = 0 s1 = 8646214, s2 = 8754196, d1 = 1, d2 = 1 Dl.O(d1) = 272517325,125743935,125743835,125743837,125743913,111923918,97984487,84109619,70573046,70573045,84109618,97984486,111923917,125743909,139084929,261619869,163663723,163663567,262626679,184141438,192588164,184141305,174496618,262141125,139084844,139084843,139084827,139084828,125743827,259886033,84109589,70573020,57871602,57871603,70573022,84109593,92518708,106830235,121089637,134891121,148010878,160258804,155924145,143382519,130051210,130051211,261292010,167537240,155924141,273165317,261292012,143382530,143382533,143382532,155924140,143382517,130051208,259507732,88097352,74485085,61702113,50220387,40198404,40198405,50220390,269525778,88097331,257652244,61702110,258261192,269998516,65194600,78478919,260318395,116141953,260122654,143382501,148010881,143382502,134891129,121089642,106830238,106830239,260912911,143382499,143382498,155924126,143382495,143382494,155924124,148010887,134891130,134891131,148010888,160258810,155924128,155924127,167537238,178006298,261825116,165953523,161925708,161925709,260112170,146285384,146285385,260709090,189121032,194232832,186020383,176599570,165953522,158653746,158653740,146285386,133057759,119227548,105034924,105034923,119227546,105034927,105034928,107952568,93515538,79379137,79379138,93515541,107952573,122378626,271389782,260112184,107952567,107952566,113861351,113861352,127734527,113861357,99843550,85888780,72296017,59561588,59561587,72296015,85888775,99843540,113861340,127734517,141087749,272860557,176214693,176214688,176214685,262476798,153756928,165536180,176214683,185674014,182529501,172597468,161417732,149131898,262537535,161417734,149131908,135910417,135910416,149131905,262992495,172597473,161417739,161417738,262667414,152744595,140054557,126707180,112855414,260537399,112855422,112855423,261115269,126707175,140054554,126707178,126707160,126707159,112855424,98867567,98867541,84940770,71364203,71364204,84940771,98867544,112855406,126707168,140054538,152744576,261116984,126707170,140054547,152744588,140054548,140054549,152744591,152744581,140054541,126707165,112855404,112855403,126707163,140054540,152744579,262183657,175342348,273334244,262185434,140054550,126707173,126707174,140054552,262183659,175342360,184893962,263863843,184893964,263505067,200393572,263865240,184893968,175342357,164579880,152744593,152744592,164579876,175342349,175858356,165136476,153325089,153325078,140645740,271793883,99438983,85497554,71912692,59174937,59174936,71912687,71912661,71912662,71912684,270314015,99439002,260570815,127299584,127299583,260570813,71912679,71912678,85497545,99438995,260570811,140645745,272851333,153325082,153325065,153325064,165136452,153325087,153325088,262693249,262693251,185361049,185361050,185361042,185361044,263884767,193650861,193650860,198692583,191215094,182529464,182529463,191215093,191215077,182529448,182529449,191215079,191215107,191215081,182529455,182529456,262992493,262042549,260942529,272052213,135910368,135910369,260942530,135910381,121986073,107613983,93211912,271108067,107613976,107613975,107613986,93211914,79095881,65739729,53683408,53683406,270059761,93211910,79095885,79095879,65739755,53683432,53683434,258468910,65739727,53683404,53683402,65739725,79095876,79095866,65739717,53683395,256697567,255709095,19513079,26228344,34089635,43172982,53683398,53683405,43172987,34089639,34089640,257257211,65739732,53683412,43172991,268955646,13967623,9590952,6296320,3944071,3944072,6296323,9590954,13967626,19513092,19798740,26228355,26228356,34089647,34592633,34089649,34089648,256177996,53683417,269564616,257256816,53209006,42759422,33729664,25922806,19261005,13765363,255287515,255264970,6178175,3913554,3913553,254670061 Dl.O(d2) = 272517325,125743935,125743835,125743837,125743913,111923918,97984487,84109619,70573046,70573045,84109618,97984486,111923917,125743909,139084929,261619869,163663723,163663567,262626679,184141438,192588164,184141305,174496618,262141125,139084844,139084843,139084827,139084828,125743827,259886033,84109589,70573020,57871602,57871603,70573022,84109593,92518708,106830235,121089637,134891121,148010878,160258804,155924145,143382519,130051210,130051211,261292010,167537240,155924141,273165317,261292012,143382530,143382533,143382532,155924140,143382517,130051208,259507732,88097352,74485085,61702113,50220387,40198404,40198405,50220390,269525778,88097331,257652244,61702110,258261192,269998516,65194600,78478919,260318395,116141953,260122654,143382501,148010881,143382502,134891129,121089642,106830238,106830239,260912911,143382499,143382498,155924126,143382495,143382494,155924124,148010887,134891130,134891131,148010888,160258810,155924128,155924127,167537238,178006298,261825116,165953523,161925708,161925709,260112170,146285384,146285385,260709090,189121032,194232832,186020383,176599570,165953522,158653746,158653740,146285386,133057759,119227548,105034924,105034923,119227546,105034927,105034928,107952568,93515538,79379137,79379138,93515541,107952573,122378626,271389782,260112184,107952567,107952566,113861351,113861352,127734527,113861357,99843550,85888780,72296017,59561588,59561587,72296015,85888775,99843540,113861340,127734517,141087749,272860557,176214693,176214688,176214685,262476798,153756928,165536180,176214683,185674014,182529501,172597468,161417732,149131898,262537535,161417734,149131908,135910417,135910416,149131905,262992495,172597473,161417739,161417738,262667414,152744595,140054557,126707180,112855414,260537399,112855422,112855423,261115269,126707175,140054554,126707178,126707160,126707159,112855424,98867567,98867541,84940770,71364203,71364204,84940771,98867544,112855406,126707168,140054538,152744576,261116984,126707170,140054547,152744588,140054548,140054549,152744591,152744581,140054541,126707165,112855404,112855403,126707163,140054540,152744579,262183657,175342348,273334244,262185434,140054550,126707173,126707174,140054552,262183659,175342360,184893962,263863843,184893964,263505067,200393572,263865240,184893968,175342357,164579880,152744593,152744592,164579876,175342349,175858356,165136476,153325089,153325078,140645740,271793883,99438983,85497554,71912692,59174937,59174936,71912687,71912661,71912662,71912684,270314015,99439002,260570815,127299584,127299583,260570813,71912679,71912678,85497545,99438995,260570811,140645745,272851333,153325082,153325065,153325064,165136452,153325087,153325088,262693249,262693251,185361049,185361050,185361042,185361044,263884767,193650861,193650860,198692583,191215094,182529464,182529463,191215093,191215077,182529448,182529449,191215079,191215107,191215081,182529455,182529456,262992493,262042549,260942529,272052213,135910368,135910369,260942530,135910381,121986073,107613983,93211912,271108067,107613976,107613975,107613986,93211914,79095881,65739729,53683408,53683406,270059761,93211910,79095885,79095879,65739755,53683432,53683434,258468910,65739727,53683404,53683402,65739725,79095876,79095866,65739717,53683395,256697567,255709095,19513079,26228344,34089635,43172982,53683398,53683405,43172987,34089639,34089640,257257211,65739732,53683412,43172991,268955646,13967623,9590952,6296320,3944071,3944072,6296323,9590954,13967626,19513092,19798740,26228355,26228356,34089647,34592633,34089649,34089648,256177996,53683417,269564616,257256816,53209006,42759422,33729664,25922806,19261005,13765363,255287515,255264970,6178175,3913554,3913553,254670061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8646214, s2 = 8754196, dlinesl.size( ) = 2 s1 = 8646214, s2 = 8754196, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8646214, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2829828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3131350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3131350, s2 = 4205514, int(edited[s2]) = 0 s1 = 3131350, s2 = 4205514, d1 = 18, d2 = 16 Dl.O(d1) = 98873445,98873444,259317846,140059821,140059823,140064686 Dl.O(d2) = 159460634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3131350, s2 = 4205514, dlinesl.size( ) = 2 s1 = 3131350, s2 = 4205514, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3131350, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 2830354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2830354, s2 = 5155383, int(edited[s2]) = 0 s1 = 2830354, s2 = 5155383, d1 = 0, d2 = 22 Dl.O(d1) = 84951226 Dl.O(d2) = 214509468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2830354, s2 = 5155383, dlinesl.size( ) = 32 s1 = 10188727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342708, s2 = 429540, int(edited[s2]) = 0 s1 = 10342708, s2 = 429540, d1 = 117, d2 = 106 Dl.O(d1) = 42170766,52528823,64402303 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6684991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6684991, s2 = 2877125, int(edited[s2]) = 0 s1 = 6684991, s2 = 2877125, d1 = 12, d2 = 7 Dl.O(d1) = 257316560,44532226,47289064,37379602,37379603,256749688 Dl.O(d2) = 85966498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6684991, s2 = 2877125, dlinesl.size( ) = 8 s1 = 3133374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344674, s2 = 10183972, int(edited[s2]) = 0 s1 = 10344674, s2 = 10183972, d1 = 26, d2 = 30 Dl.O(d1) = 87073411,77351236,64203565,52353208,42013818,33069465,33069466,42013813,52353197,258075590,256884660,32960561,25239199,18669548,13277598,13277599,18669550,25239201,32960565,41898800,51365286,42979797,42979796,53453889,65473621,78803596,92909720,107314400,259655070,99607976,259027738,119893938,260523240,134880437,134880438,134880439,121078050,106818041,106818040,92506131,78466320,65182243,53197226,53197225,65182241,73389924,60643413,49242758,39315781,39315780,49242756,39315784,30717437,23300174,17040045,17040044,23300173,30717435,32960569,32960570,268619362,52234694,52234695,41898806,37994276,37989987,29428167,29428168,37989989,47906054,47943202,59335182,72069782,85657163,99606900,113621715,127494913,115799969,101753350,87779852,74175036,61394494,49914148,257008432,31216699,39894070,49914149,61394496,53144128,42693651,257232243,65128929,73326163,256635974,49182548,60582254,73326161,86936306,100918107,271028858,142226335,154861510,166564255,175228391,166564261,166564260,166564263,166564262,166564257,166564256,177140063,186488993,194636899,201614560,207487174,273923376,200846492,273714510,176021166,165328180,153536241,140859464,127503095,113630933,113630932,127503094,140859458,140859457,153536238,262502726,143137984,129805964,115906000,101860174,87887150,87887151,87887159,74284954,74284953,74284955,87887161,101860182,115906007,129805973,129805974,143137991,155691675,167325461,177821673,187094963,263625803,193284261,184946514,175397895,164636512,152798973,140105961,126756704,112903861,98915880,98915881,98915878,84990506,84990507,258693611,58683254,47292347,37383180 Dl.O(d2) = 258693609,71416773,84990500,98915871,112903856,126756698,259987556,101146731,87148620,73529713,60781925,49380858,49380859,60781923,73529710,87148616,101146727,109740541,95531051,95531052,109740542,123885877,137573304,150577902,259492790,130407985,116568533,102469932,88466578,88466579,87740921,74135237,258245968,101715242,115761376,129659165,142987476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344674, s2 = 10183972, dlinesl.size( ) = 2 s1 = 10344674, s2 = 10183972, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10344674, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 8236788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8236788, s2 = 14585820, int(edited[s2]) = 0 s1 = 8236788, s2 = 14585820, d1 = 1, d2 = 1 Dl.O(d1) = 10429312,6875934,6875933,10429310,9609922,9609921,13988999,19430293,13902436,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608720,19062726,20805986,14911241,10253034,6737088,6737089,4317380,4317376,6877819,10432556,10253549,6737417,6737416,10253546,14912058,16028478,21048358,25686575,21052856,21052854,28253366,28250547,28250546,28993880,36746607,28256655,21055771,15124321,15124317,21048724,21052201,15121623,10429984,10429985,10429348,10429349,15120556,21050727,15122236,15122238,15122221,15122218,15122260,21052639,15121953,10430209,10430206,15121936,20806355,14911503,10253204,6737211,6737212,10253195,6737228,6737227,6737350,10253437,14911898,20806740,21709693,20806125,20806126,23305158,21317496,21317494,24510690,32084609,28993607,21709250,18081393,12819025,8715795,5673567,5673566,8715791,12819019,15121554,15121553,21052114,16028464,16028463,22147482,18081460,18081461,24510798,25672950,33443338,36748448,36748449,46634272,36747158,36747133,28251677,21051158,15120864,15120862,15120919,10429577,6876071,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120849,255013784,24510952,18081586,18081585,24510951,32084868,40856459,35079295,26994598,268497722,24508880,18079970,18079969,18278056,24752723,32371098,41189425,51379616,63067824,76062758,89856408,103974221,118123853,131939278,262419815,179321457,188365062,196243305,202983590,208632623,211481059,206484914,200441078,193285079,184947440,175398879,164637516,152800012,140107032,126757881,112905369,98917656,84992574,71418971,58685541,255042552,28845463,21573679,254504680,7105566,7105565,10755186,15550628,21572555,15549773,267965581,254337001,2687493,4473290,7105196,10754592,15549771,21572553,28844141,37384009,47293156,58683979 Dl.O(d2) = 10429312,6875934,6875933,10429310,9609922,9609921,13988999,19430293,13902436,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608720,19062726,20805986,14911241,10253034,6737088,6737089,4317380,4317376,6877819,10432556,10253549,6737417,6737416,10253546,14912058,16028478,21048358,25686575,21052856,21052854,28253366,28250547,28250546,28993880,36746607,28256655,21055771,15124321,15124317,21048724,21052201,15121623,10429984,10429985,10429348,10429349,15120556,21050727,15122236,15122238,15122221,15122218,15122260,21052639,15121953,10430209,10430206,15121936,20806355,14911503,10253204,6737211,6737212,10253195,6737228,6737227,6737350,10253437,14911898,20806740,21709693,20806125,20806126,23305158,21317496,21317494,24510690,32084609,28993607,21709250,18081393,12819025,8715795,5673567,5673566,8715791,12819019,15121554,15121553,21052114,16028464,16028463,22147482,18081460,18081461,24510798,25672950,33443338,36748448,36748449,46634272,36747158,36747133,28251677,21051158,15120864,15120862,15120919,10429577,6876071,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120849,255013784,24510952,18081586,18081585,24510951,32084868,40856459,35079295,26994598,268497722,24508880,18079970,18079969,18278056,24752723,32371098,41189425,51379616,63067824,76062758,89856408,103974221,118123853,131939278,262419815,179321457,188365062,196243305,202983590,208632623,211481059,206484914,200441078,193285079,184947440,175398879,164637516,152800012,140107032,126757881,112905369,98917656,84992574,71418971,58685541,255042552,28845463,21573679,254504680,7105566,7105565,10755186,15550628,21572555,15549773,267965581,254337001,2687493,4473290,7105196,10754592,15549771,21572553,28844141,37384009,47293156,58683979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8236788, s2 = 14585820, dlinesl.size( ) = 2 s1 = 8236788, s2 = 14585820, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8236788, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8480612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8480612, s2 = 14566704, int(edited[s2]) = 0 s1 = 8480612, s2 = 14566704, d1 = 0, d2 = 0 Dl.O(d1) = 259892406,144730142,157129330,157129327,157129328,157129329,262146748,174718422,163907421,163907420,261625814,261625810,163907414,261625808,139336723,139336724,152043401,163907410,174718416,164639765,259740334,140108547,152801889,164639764,152801888,140108546,126759228,112906663,98919079,257862118,98919083,84994332,71421077,71421076,73002651,86600065,100561468,88558026,74919781,74919782,73002653,60267695,48875417,48875418,60267696,258302849,50616629,40574214,31870891,24347080,24347079,31870890,40574211,50616625,62115975,74919777,88558024,102564222,116662802,130501268,143825214,262379709,178350032,187550280,195558869,202408479,202408457,195558846,187550261,187550260,195558844,187550262,263654131,202408458,208165047,212910417,216789974,220005315,222719567,225051172,227076157,228843648,230400483,229042135,227312240,225332290,223053312,220410800,264801116,209005885,203452071,196819749,263219622,146199459,132965186,119128991,119128990,115805381,101758874,87785547,87785546,101758873,115805380,128284473,114408564,100385607,86439090,72844482,60108030,269828489,86439085,100394728,114418042,114418041,261168359,113762031,113762030,127630771,126468961,126468960,127630770,126468958,112600205,112600204,98604969,84679899,84679898,98604967,112600207,112600211,98604972,84679903,71115231,58397245,47025134,37136792,28624020,28624021,37136793,47025135,58397247,71115235,84679906,84679932,98605000,112600229,126468976,139840416,139840413,260522833,112600219,112600218,126468970,112600223,260522831,126468974,112600225,98604992,259921149,112600227,98604994,98604993,112600219,112600218,126468970,112600223,260522831,126468974,112600225,98604992,259921149 Dl.O(d2) = 259892406,144730142,157129330,157129327,157129328,157129329,262146748,174718422,163907421,163907420,261625814,261625810,163907414,261625808,139336723,139336724,152043401,163907410,174718416,164639765,259740334,140108547,152801889,164639764,152801888,140108546,126759228,112906663,98919079,257862118,98919083,84994332,71421077,71421076,73002651,86600065,100561468,88558026,74919781,74919782,73002653,60267695,48875417,48875418,60267696,258302849,50616629,40574214,31870891,24347080,24347079,31870890,40574211,50616625,62115975,74919777,88558024,102564222,116662802,130501268,143825214,262379709,178350032,187550280,195558869,202408479,202408457,195558846,187550261,187550260,195558844,187550262,263654131,202408458,208165047,212910417,216789974,220005315,222719567,225051172,227076157,228843648,230400483,229042135,227312240,225332290,223053312,220410800,264801116,209005885,203452071,196819749,263219622,146199459,132965186,119128991,119128990,115805381,101758874,87785547,87785546,101758873,115805380,128284473,114408564,100385607,86439090,72844482,60108030,269828489,86439085,100394728,114418042,114418041,261168359,113762031,113762030,127630771,126468961,126468960,127630770,126468958,112600205,112600204,98604969,84679899,84679898,98604967,112600207,112600211,98604972,84679903,71115231,58397245,47025134,37136792,28624020,28624021,37136793,47025135,58397247,71115235,84679906,84679932,98605000,112600229,126468976,139840416,139840413,260522833,112600219,112600218,126468970,112600223,260522831,126468974,112600225,98604992,259921149,112600227,98604994,98604993,112600219,112600218,126468970,112600223,260522831,126468974,112600225,98604992,259921149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8480612, s2 = 14566704, dlinesl.size( ) = 2 s1 = 8480612, s2 = 14566704, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8480612, Dl.E( ) = 2, 2.31e-05 seconds used appending s1 = 3133616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3134025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3134025, s2 = 4713636, int(edited[s2]) = 0 s1 = 3134025, s2 = 4713636, d1 = 9, d2 = 21 Dl.O(d1) = 98926438 Dl.O(d2) = 260551537,140255678,152944308,263118029,192015638,183461242,261752354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3134025, s2 = 4713636, dlinesl.size( ) = 2 s1 = 3134025, s2 = 4713636, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3134025, Dl.E( ) = 34, 1.98e-05 seconds used appending s1 = 2833128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1717048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658372, s2 = 11561304, int(edited[s2]) = 0 s1 = 11658372, s2 = 11561304, d1 = 0, d2 = 0 Dl.O(d1) = 17395902,17395903,23719751,31206662,39885894,49906659,51340817,63021613,76004956,89782442,103883956,118026747,131852726,259908348,166015920,154263034,141607053,128256355,114379630,100355718,86398922,72803263,60065345,48669017,48669015,38747223,30163774,22774480,18727226,13331637,9109079,5960244,3727333,2231607,2231609,3727339,5960258,9109105,13331672,18727280,25302006,33028163,41971302,52311905,64163448,77311491,74321045,61544819,50066740,50066741,258071433,85012700,98938180,112927438,126781910,140132348,152826829,164663405,263111055,193301273,200454953,206496821,211491414,215573388,218947032,215573387,215573388,218947033,221794018,224235696,226352554,228196407,265982941,232542803,274663263,235732067,236609868,237410296,238138154,238800895,239410071,239972383,240493381,239972386,239972384,240493382,240976978,241424209,267083593,242575749,242905734,267218703,243767999 Dl.O(d2) = 17395902,17395903,23719751,31206662,39885894,49906659,51340817,63021613,76004956,89782442,103883956,118026747,131852726,259908348,166015920,154263034,141607053,128256355,114379630,100355718,86398922,72803263,60065345,48669017,48669015,38747223,30163774,22774480,18727226,13331637,9109079,5960244,3727333,2231607,2231609,3727339,5960258,9109105,13331672,18727280,25302006,33028163,41971302,52311905,64163448,77311491,74321045,61544819,50066740,50066741,258071433,85012700,98938180,112927438,126781910,140132348,152826829,164663405,263111055,193301273,200454953,206496821,211491414,215573388,218947032,215573387,215573388,218947033,221794018,224235696,226352554,228196407,265982941,232542803,274663263,235732067,236609868,237410296,238138154,238800895,239410071,239972383,240493381,239972386,239972384,240493382,240976978,241424209,267083593,242575749,242905734,267218703,243767999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658372, s2 = 11561304, dlinesl.size( ) = 2 s1 = 11658372, s2 = 11561304, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11658372, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6776686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344043, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9175296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6750810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8008099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2835261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 446727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 446727, s2 = 8568437, int(edited[s2]) = 0 s1 = 446727, s2 = 8568437, d1 = 7, d2 = 7 Dl.O(d1) = 11318371,11318372,16277116,16516795,22721844,23106638,23106637,30524134,39122301,31035835,23554085,21628297,15597330,10789895,10789894,11088165,11088166,15973520,15594040,15594041,258073107,85036373,259942577,261601239,262655828 Dl.O(d2) = 11318371,11318372,16277116,16516795,22721844,23106638,23106637,30524134,39122301,31035835,23554085,21628297,15597330,10789895,10789894,11088165,11088166,15973520,15594040,15594041,258073107,85036373,259942577,261601239,262655828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 446727, s2 = 8568437, dlinesl.size( ) = 2 s1 = 446727, s2 = 8568437, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 446727, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11657248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8017741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8299257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2837037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6644850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6644850, s2 = 4381360, int(edited[s2]) = 0 s1 = 6644850, s2 = 4381360, d1 = 49, d2 = 33 Dl.O(d1) = 256896858 Dl.O(d2) = 170782400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6644850, s2 = 4381360, dlinesl.size( ) = 2 s1 = 6644850, s2 = 4381360, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6644850, Dl.E( ) = 84, 2.41e-05 seconds used appending s1 = 2838057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8438175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8438175, s2 = 14323468, int(edited[s2]) = 0 s1 = 8438175, s2 = 14323468, d1 = 0, d2 = 0 Dl.O(d1) = 23091469,28071296,36538308,46399181,42212042,256131810,40354618,50389473,61879189,74671319,88296817,84586047,74671324,269410799,257676509,50389484,61879199,74671329,258753495,59524646,48137521,256398825,22308617,22308618,29660985,38227287,31659676,24149253,24149252,31659674,40354641,50389503,40354651,31659684,31659683,40354649,46453878,36587864,36587863,38227293,38227292,48137535,50519803,48137511,38227279,29660979,29660980,38227282,48137514,59524633,71050534,258671447,71050549,58334715,58334716,71050540,84614600,258671451,58334711,46966857,258046295,46957157,37076749,37076750,28573437,28573436,256857375,58324475,46957282,37076861,28573444,21345106,21345105,28573440,37076853,46957275,258046311,84603644,259308704,58255780,58255779,70971228,58324419,46957225,46957226,58324423,70353177,58324480,58255475,46888614,37009768,37009767,28573406,21345080,21345079,21345082,21345081,28573374,21345062,21345061,28573370,268917275,46888909,46888908,58255802,258046299,258681860,37010016,37010017,46888891,46888896,58255785,70971237,58324311,258046293,84603502,98528099,109827050,109827048,259630250,68099091,55701540,44794063,44794064,55701541,68099094,81588925,85098745,85098746,260127592,98454954,85018408,84603541,258057548,46957177,37076766,37076765,46957175,257643673,74206792,84603589,71039786,58324413,258670543,98528163,109827033,259630248,55701522,55701523,68099064,258078391,52244868,52244867,46957170,46957171,58324351,58324353,58324355,258670533,98528122,105369991,105369990,115828489,101782329,87809997,74206804,74206803,87809995,101782326,101782341,87810014,74206822,61428352,49950948,39933961,39933962,49950950,258252459,74206833,74206834,85098750,259947173,259499007,74206830,61428359,258252461,87810023,259637337,77236506,64092273,64092274,74206809,74206810,87810001,87810031,74206837,61428364,257061061,31259119,23774283,17444947,12296992,8305265,5358636,254590937,255170385,23774285,31259122,39933971,49950965,41907769,41907770,49950944,39933959,31259115,23774281,269344516,39933972,49950967,269870289,270506289,52244878,52244877,64092270,61428342,61428341,74206807,75630867,75630866,89392016,87843666,74238401,61459159,49981103,39964586,39964587,32968406,32968405,257179251,64092286,62686226,51055673,51055672,62686224,258326091,40913786,257714157,75630859,258326093,62686231,75630865,270969737,117616851,122200307,107794958,93372723,93372724,107794961,103486240,99023399,99023400,101818061,105369118,105369115,103486243,103486244,117616845,117617880,117617879,131418862,133812043,259486218,105710039,260101494,259396871,72495533,72495534,86092938,100055342,114081676,127961859,141321447,153991879,164356117,262796978,153991868,153991869,147058013,133812056,119944929,271384860,147058016,261815762,262796980,185859407,184726057,272827332,152488827,139768328,126392975,112522653,112522654,114081666,127961841,141321431,127961853,127961852,141321439,153991808,153991809,165763423,165763474,176424080,185859423,262796976,162172524,162172523,262796970,262324528,159435864,159435865,262796974,262730623,185859411,263842214,185859432,176424068,165763458,165763454,165763455,165763428,165763429,172601147,262177310,139768371,139768370,262042769,149135609,135913947,121989235,121989236,135913950,149135625,161421652,152488869,139768375,126393015,112522686,98528145,84603571,71039771,71039770,84603569,98528140,112522677,115828355,101782154,101782155,115828356,129727458,115828358,101782158,98158517,84264745,84264744,98158515,112117761,125951246,139300320,139300284,139300285,139300283,125951192,112117704,98158472,84264709,70713376,57996573,57996574,269414392,258020585,258020587,84264725,85482427,85482428,99423876,87747780,87747778,271292979,84264752,70713405,70713404,84264751,98158527,112117776,125951269,125951242,112117757,112117727,112117728,113425880,113425879,127284641,261146547,113425778,99423847,99423848,113425779,113425780,113425781,113425772,99423840,85482393,71897432,71897433,85482396,99423844,113425775,113425795,114288722,114559971,114559970,113425890,99423952,85482506,85482505,71897545,59159615,59159616,59159592,47760940,47760939,59159589,71897502,85482468,86670972,100644365,271793441,113425838,113425846,99423918,85482476,85482475,99423915,113425842,127284613,113425848,113425847,127284555,260647684,101828334,87853767,87853766,101828332,115875315,272261175,141948676,128587438,261227575,128587451,141948686,261146541,114689906,100644406,86671001,86671000,100644405,86671027,73065660,73065659,259434689,113425834,113425835,114689924,100644422,259393746,73065653,86671017,100644425,100644402,86670993,86670994,86671003,73065641,60324637,60324638,73065642,86671005,259550892,100644465,100644467,100644355,86670965,86670964,100644353,100644468,260051849,261189440,114689930,100644427,100644426,114689928,128587466,141948695,133186515,133186516,146416439,133186526,119351977,119351978,133186528,141948659,154593029,146416391,133186447,259550886,133186455,260165256,259550900,117550769,117550768,105153471,90966833,90966834,90966867,105153524,119351966,133186511,133186495,130270458,116433240,102339900,102339901,116433242,119351951,270924362,154593048,146416392,146416393,156132948,143598193,143598192,133186461,119351911,105153484,90966842,77081062,63964456,63964457,77081065,90966846,105153492,105153463,90966827,77081055,77081056,269891742,90966870,256561440,52141655,52141656,63964466,77081085,90966884,105153544,119351884,133186444,141114204,153787548,260537526,130270462,116433246,102339903,102339902,116433245,103421633,89328644,89328642,272281324,89328638,260190219,89328636,89328637,89328628,75570756,257710769,51008297,62631530,75570752,89328610,75570736,75570738,89328612,103421592,117550740,131351074,123978627,123978628,260762616,123978624,123978625,117550734,103421588,103421589,117550736,131351069,144575842,137660747,260537530,109838782,259936560,261115434,162754743,261696200,150658535,162754745,162754744,261333192,272651869,261895939,150658536,137660803,261357077,131351082,144575848,260209378,144575821,144575818,144575819,153787547,144575827,137660755,123978643,109838786,95635072,95635073,109838788,120084014,120084015,113430474,103421556,103421555,259351542,258102572,81602205,68113461,258554415,95635127,109838857,260209374,140635345,271522056,127289357,271019884,258726378,257492616,85486873,99428430,113430463,126862911,126862912,140209593,131833453,127289331,121168071,121168070,123978707,137660800,258341570,99428435,85486879,71901807,71901808,85486881,258341572,140209607,133927416,120084002,120084003,120084004,120084000,105870757,258102610,91662221,77734121,257492658,77734123,91662220,77734120,71077665,71077664,255065154,52651913,42265994,33285971,33285972,256370428,64551555,77734116,258102625,258726417,271326567,119301472,119301473,261874242,113412290,113412289,127270673,140616499,127270676,113412296,99411126,85470252,71885649,59147702,47749054,37826829,37826828,47749052,59147699,71885644,85470246,99004086,270300491,58777237,47390066,47390067,258076731,85078614,99004087,260546359,112993345,112993344,126847064,129123693,269010150,87116068,73497388,256051278,73497378,60748537,60748536,73497377,60748544 Dl.O(d2) = 23091469,28071296,36538308,46399181,42212042,256131810,40354618,50389473,61879189,74671319,88296817,84586047,74671324,269410799,257676509,50389484,61879199,74671329,258753495,59524646,48137521,256398825,22308617,22308618,29660985,38227287,31659676,24149253,24149252,31659674,40354641,50389503,40354651,31659684,31659683,40354649,46453878,36587864,36587863,38227293,38227292,48137535,50519803,48137511,38227279,29660979,29660980,38227282,48137514,59524633,71050534,258671447,71050549,58334715,58334716,71050540,84614600,258671451,58334711,46966857,258046295,46957157,37076749,37076750,28573437,28573436,256857375,58324475,46957282,37076861,28573444,21345106,21345105,28573440,37076853,46957275,258046311,84603644,259308704,58255780,58255779,70971228,58324419,46957225,46957226,58324423,70353177,58324480,58255475,46888614,37009768,37009767,28573406,21345080,21345079,21345082,21345081,28573374,21345062,21345061,28573370,268917275,46888909,46888908,58255802,258046299,258681860,37010016,37010017,46888891,46888896,58255785,70971237,58324311,258046293,84603502,98528099,109827050,109827048,259630250,68099091,55701540,44794063,44794064,55701541,68099094,81588925,85098745,85098746,260127592,98454954,85018408,84603541,258057548,46957177,37076766,37076765,46957175,257643673,74206792,84603589,71039786,58324413,258670543,98528163,109827033,259630248,55701522,55701523,68099064,258078391,52244868,52244867,46957170,46957171,58324351,58324353,58324355,258670533,98528122,105369991,105369990,115828489,101782329,87809997,74206804,74206803,87809995,101782326,101782341,87810014,74206822,61428352,49950948,39933961,39933962,49950950,258252459,74206833,74206834,85098750,259947173,259499007,74206830,61428359,258252461,87810023,259637337,77236506,64092273,64092274,74206809,74206810,87810001,87810031,74206837,61428364,257061061,31259119,23774283,17444947,12296992,8305265,5358636,254590937,255170385,23774285,31259122,39933971,49950965,41907769,41907770,49950944,39933959,31259115,23774281,269344516,39933972,49950967,269870289,270506289,52244878,52244877,64092270,61428342,61428341,74206807,75630867,75630866,89392016,87843666,74238401,61459159,49981103,39964586,39964587,32968406,32968405,257179251,64092286,62686226,51055673,51055672,62686224,258326091,40913786,257714157,75630859,258326093,62686231,75630865,270969737,117616851,122200307,107794958,93372723,93372724,107794961,103486240,99023399,99023400,101818061,105369118,105369115,103486243,103486244,117616845,117617880,117617879,131418862,133812043,259486218,105710039,260101494,259396871,72495533,72495534,86092938,100055342,114081676,127961859,141321447,153991879,164356117,262796978,153991868,153991869,147058013,133812056,119944929,271384860,147058016,261815762,262796980,185859407,184726057,272827332,152488827,139768328,126392975,112522653,112522654,114081666,127961841,141321431,127961853,127961852,141321439,153991808,153991809,165763423,165763474,176424080,185859423,262796976,162172524,162172523,262796970,262324528,159435864,159435865,262796974,262730623,185859411,263842214,185859432,176424068,165763458,165763454,165763455,165763428,165763429,172601147,262177310,139768371,139768370,262042769,149135609,135913947,121989235,121989236,135913950,149135625,161421652,152488869,139768375,126393015,112522686,98528145,84603571,71039771,71039770,84603569,98528140,112522677,115828355,101782154,101782155,115828356,129727458,115828358,101782158,98158517,84264745,84264744,98158515,112117761,125951246,139300320,139300284,139300285,139300283,125951192,112117704,98158472,84264709,70713376,57996573,57996574,269414392,258020585,258020587,84264725,85482427,85482428,99423876,87747780,87747778,271292979,84264752,70713405,70713404,84264751,98158527,112117776,125951269,125951242,112117757,112117727,112117728,113425880,113425879,127284641,261146547,113425778,99423847,99423848,113425779,113425780,113425781,113425772,99423840,85482393,71897432,71897433,85482396,99423844,113425775,113425795,114288722,114559971,114559970,113425890,99423952,85482506,85482505,71897545,59159615,59159616,59159592,47760940,47760939,59159589,71897502,85482468,86670972,100644365,271793441,113425838,113425846,99423918,85482476,85482475,99423915,113425842,127284613,113425848,113425847,127284555,260647684,101828334,87853767,87853766,101828332,115875315,272261175,141948676,128587438,261227575,128587451,141948686,261146541,114689906,100644406,86671001,86671000,100644405,86671027,73065660,73065659,259434689,113425834,113425835,114689924,100644422,259393746,73065653,86671017,100644425,100644402,86670993,86670994,86671003,73065641,60324637,60324638,73065642,86671005,259550892,100644465,100644467,100644355,86670965,86670964,100644353,100644468,260051849,261189440,114689930,100644427,100644426,114689928,128587466,141948695,133186515,133186516,146416439,133186526,119351977,119351978,133186528,141948659,154593029,146416391,133186447,259550886,133186455,260165256,259550900,117550769,117550768,105153471,90966833,90966834,90966867,105153524,119351966,133186511,133186495,130270458,116433240,102339900,102339901,116433242,119351951,270924362,154593048,146416392,146416393,156132948,143598193,143598192,133186461,119351911,105153484,90966842,77081062,63964456,63964457,77081065,90966846,105153492,105153463,90966827,77081055,77081056,269891742,90966870,256561440,52141655,52141656,63964466,77081085,90966884,105153544,119351884,133186444,141114204,153787548,260537526,130270462,116433246,102339903,102339902,116433245,103421633,89328644,89328642,272281324,89328638,260190219,89328636,89328637,89328628,75570756,257710769,51008297,62631530,75570752,89328610,75570736,75570738,89328612,103421592,117550740,131351074,123978627,123978628,260762616,123978624,123978625,117550734,103421588,103421589,117550736,131351069,144575842,137660747,260537530,109838782,259936560,261115434,162754743,261696200,150658535,162754745,162754744,261333192,272651869,261895939,150658536,137660803,261357077,131351082,144575848,260209378,144575821,144575818,144575819,153787547,144575827,137660755,123978643,109838786,95635072,95635073,109838788,120084014,120084015,113430474,103421556,103421555,259351542,258102572,81602205,68113461,258554415,95635127,109838857,260209374,140635345,271522056,127289357,271019884,258726378,257492616,85486873,99428430,113430463,126862911,126862912,140209593,131833453,127289331,121168071,121168070,123978707,137660800,258341570,99428435,85486879,71901807,71901808,85486881,258341572,140209607,133927416,120084002,120084003,120084004,120084000,105870757,258102610,91662221,77734121,257492658,77734123,91662220,77734120,71077665,71077664,255065154,52651913,42265994,33285971,33285972,256370428,64551555,77734116,258102625,258726417,271326567,119301472,119301473,261874242,113412290,113412289,127270673,140616499,127270676,113412296,99411126,85470252,71885649,59147702,47749054,37826829,37826828,47749052,59147699,71885644,85470246,99004086,270300491,58777237,47390066,47390067,258076731,85078614,99004087,260546359,112993345,112993344,126847064,129123693,269010150,87116068,73497388,256051278,73497378,60748537,60748536,73497377,60748544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8438175, s2 = 14323468, dlinesl.size( ) = 2 s1 = 8438175, s2 = 14323468, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8438175, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 3139456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6885027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3139545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3139545, s2 = 15549388, int(edited[s2]) = 0 s1 = 3139545, s2 = 15549388, d1 = 40, d2 = 87 Dl.O(d1) = 99030255 Dl.O(d2) = 13282813,9066599,5928511,5928512,9066602,255247249,18120692,18118192,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,11861558,16948104,23221082,30643906,25346812,24313902,24313903,31832238,25346865,25346864,33077100,37261671,32138416,24556771,24556770,32137692,24556138,18118533,12847607,8736711,5687829,3538311,3538312,5687835,8736740,11110963,16004491,22117594,24559408,24559406,32141452,32966298,39696149,39205189,38013279,38013009,30164613,30164612,31801431,31315859,31315860,254847908,52244669,41907501,32968154,25246082,25246081,32968152,41907498,52244666,55395828,44549027,35171370,27082951,20184805,20184806,27082953,35171373,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173034,23449131,30880041,31684231,25497682,18892381,18892385,25497697,33248529,39485856,41907463,39485789,39485787,48589554,39058732,39058731,48981406,60378151,60815415,71931557,59191921,47791650,254721118,267960364,70880372,70880371,71931564,61390530,49910347,256300938,23727148,23727147,31212325,39890110,49910344,51067408,47429654,47429653,38183954,38183953,39248533,49173706,50013521,39995702,31318649,31318650,39995705,50013523,49847528,49847529,61330937,74113518,87719136,101692446,115736975,129632768,142959417,155508337,167141044,177640193,186921527,195007322,201927599,207750795,212553073,215385072,211282965,206262681,200190701,192999715,184617210,175017552,164202992,152320814,272232836,126218558,112359259,98377803,84469167,84469166,98377804,112359260,126218560,139592463,152320816,164202996,175017561,184617231,192999743,200190745,206262756,211283081,215385221,218775057,221637040,224094567,226226005,228081474,229709551,231154293,232449427,231154233,229709439,229709436,229709401,228081286,226225839,224094403,221636886,221636887,224094406,226225843,228081293,229709410,231154213,229709508,229709481,265974061,265840713,226225820,224094389,221636871,218774946,218774947,221636874,224094393,224094500,221636968,218775000,265535787,221637011,218775037,218775035,221637010,221637021,218775042,218775041,221637018,224094514,221636996,218775017,218775016,221636993,221636987,221636985,265535789,228081397,229709495,231154268,232449446,266314519,274691129,231154191,265840715,226225968,224094540,265535793,228081435,266097163,265840701,265840703,265535797,221637042,218775058,265167111,224094569,226226007,228081476,229709327,228081213,226225781,265360149,221636848,265535763,228081156,229709278,228081245,265880358,218774927,218774926,221636851,224094362,226225784,228081218,229709329,266097165,233620290,266499495,266579739,235656634,235656633,235656635,266437276,231154156,229709343,228081229,266097167,229709533,228081443,265840727,228081442,226225975,265694547,228081217,226225783,226225784,228081218,229709330,229709456,231154242,266314517,235656640,236542084,274791555,239370443,239936454,239936455,239370447,266723239,237350591,236542087,235656642,234685092,233620328,232449452,274660569,229709527,228081439,226225972,224094544,221637023,218775043,265167107,224094549,226225974,224094547,224094546,224094369,224094370,226225794,265974051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3139545, s2 = 15549388, dlinesl.size( ) = 28 s1 = 10214748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1811383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7622241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7622241, s2 = 6867985, int(edited[s2]) = 0 s1 = 7622241, s2 = 6867985, d1 = 7, d2 = 7 Dl.O(d1) = 269790727,85122870,73096962,73096961,259436817 Dl.O(d2) = 269790727,85122870,73096962,73096961,259436817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7622241, s2 = 6867985, dlinesl.size( ) = 2 s1 = 7622241, s2 = 6867985, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7622241, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 6977079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1066272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1066272, s2 = 13653479, int(edited[s2]) = 0 s1 = 1066272, s2 = 13653479, d1 = 0, d2 = 0 Dl.O(d1) = 229960290,231384742,232661678,233815707,234865537,235822119,236692914,274773105,240023287,240540065,241019702,266996222,242256374,267118408,243241518,267301069,244269205,244040657,243794852,243530178,243245046,243245045,243245046,242939903,242612869,267112182,241024952,240545636,240029561,239473231,238871141,238871142,238215968,237496917,236704527,235834835,234879847,233831579,232679961,266076564,265952390,226554162,224458364,222045507,219235847,215907533,211885248,206962899,201003813,193935476,185684811,176225366,165546346,153766360,141096558,127742839,113869575,99851981,85897210,72304483,59570457,48184385,257891952,29708244,22353066,16201875,11262733,7476857,7476858,11262734,16201876,22353067,29708245,256206608,38368983,29796257,22429917,16262736,11306961,11306962,16262528,11306780,11306781,16262529,22429677,256409299,38367405,29794696,22428586,255093325,11306084,16261619,11307156,11306787,11306786,16262208,16261625,11306088,7506332,4744868,4744867,7506331,11306085,16261620,22428590,268638951,30292150,22893794,16664102,11630706,7748056,7748055,11630705,16647389,255945875,23064334,254776656,16424392,11440425,7607504,7607507,4983693,3010409,3010410,4983304,3010262,3010264,4983345,7850885,11758657,256458927,48990533,60388296,52712389,42325273,42325272,52712388,64612767,258224622,105931050,120143142,133984616,147207228,147207229,159566255,170894047,181012504,189889315,197543421,263957078,209498127,213959490,265298755,225524076,227478952,229188542,230699266,232045420,233257965,234356271,235355599,236266861,237098445,237857642,238548124,239180692,239761405,240297212,240794261,241255030,241681381,242075276,242438145,242775204,243088959,243383793,243659496,243915713,244154297,244376198,244581871,244773517,244952774,267388796,245279801,267424264,245567107,245697499,267470674,245599069,245461048,245314502,245158494,244991883,244814835,244626792,244425338,244208828,243975400,243724049,243452279,243160018,242848511,242848512,242848510,242514222,242514223,242154910,242154909,242514226,242154908,241767233,241767232,241347176,240893606,240403896,239876054,239304810,238683979,238006970,237262887,236445915,235550969,234568443,233489359,232300543,230983724,229514325,227860174,265741460,223818928,221329345,218423150,214963658,210757849,205608691,263945236,183472498,173687773,162668345,150552816,137528800,123813089,109633432,95390789,81341763,67874978,55524413,44663227,35269676,27165726,255339445,14531634,20251220,27165729,28998713,21713782,16106569,11187673,11187672,16106566,21713723,28998630,37543942,257471219,58837812,71564940,85135006,99059325,113046815,126899415,140246567,152936000,164765243,162456977,150321318,137279548 Dl.O(d2) = 229960290,231384742,232661678,233815707,234865537,235822119,236692914,274773105,240023287,240540065,241019702,266996222,242256374,267118408,243241518,267301069,244269205,244040657,243794852,243530178,243245046,243245045,243245046,242939903,242612869,267112182,241024952,240545636,240029561,239473231,238871141,238871142,238215968,237496917,236704527,235834835,234879847,233831579,232679961,266076564,265952390,226554162,224458364,222045507,219235847,215907533,211885248,206962899,201003813,193935476,185684811,176225366,165546346,153766360,141096558,127742839,113869575,99851981,85897210,72304483,59570457,48184385,257891952,29708244,22353066,16201875,11262733,7476857,7476858,11262734,16201876,22353067,29708245,256206608,38368983,29796257,22429917,16262736,11306961,11306962,16262528,11306780,11306781,16262529,22429677,256409299,38367405,29794696,22428586,255093325,11306084,16261619,11307156,11306787,11306786,16262208,16261625,11306088,7506332,4744868,4744867,7506331,11306085,16261620,22428590,268638951,30292150,22893794,16664102,11630706,7748056,7748055,11630705,16647389,255945875,23064334,254776656,16424392,11440425,7607504,7607507,4983693,3010409,3010410,4983304,3010262,3010264,4983345,7850885,11758657,256458927,48990533,60388296,52712389,42325273,42325272,52712388,64612767,258224622,105931050,120143142,133984616,147207228,147207229,159566255,170894047,181012504,189889315,197543421,263957078,209498127,213959490,265298755,225524076,227478952,229188542,230699266,232045420,233257965,234356271,235355599,236266861,237098445,237857642,238548124,239180692,239761405,240297212,240794261,241255030,241681381,242075276,242438145,242775204,243088959,243383793,243659496,243915713,244154297,244376198,244581871,244773517,244952774,267388796,245279801,267424264,245567107,245697499,267470674,245599069,245461048,245314502,245158494,244991883,244814835,244626792,244425338,244208828,243975400,243724049,243452279,243160018,242848511,242848512,242848510,242514222,242514223,242154910,242154909,242514226,242154908,241767233,241767232,241347176,240893606,240403896,239876054,239304810,238683979,238006970,237262887,236445915,235550969,234568443,233489359,232300543,230983724,229514325,227860174,265741460,223818928,221329345,218423150,214963658,210757849,205608691,263945236,183472498,173687773,162668345,150552816,137528800,123813089,109633432,95390789,81341763,67874978,55524413,44663227,35269676,27165726,255339445,14531634,20251220,27165729,28998713,21713782,16106569,11187673,11187672,16106566,21713723,28998630,37543942,257471219,58837812,71564940,85135006,99059325,113046815,126899415,140246567,152936000,164765243,162456977,150321318,137279548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1066272, s2 = 13653479, dlinesl.size( ) = 2 s1 = 1066272, s2 = 13653479, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1066272, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1603784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10148497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6751901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6751901, s2 = 9681403, int(edited[s2]) = 0 s1 = 6751901, s2 = 9681403, d1 = 13, d2 = 17 Dl.O(d1) = 258082541,85142613,99067397 Dl.O(d2) = 22982347,16744909,11699951,11699946,9050596,5916480,3698974,2215212,2215210,1959153,1119115,627906,348781,191207,191204,310565,171755,171757,310614,555224,733107,417208,417205,733146,1282840,1279740,1279738,1283199,1283193,2210278,3679572,267922986,260848017,143065609,129734014,115834630,259499819,257644071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6751901, s2 = 9681403, dlinesl.size( ) = 2 s1 = 6751901, s2 = 9681403, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6751901, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 11658032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10166789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10166789, s2 = 11658277, int(edited[s2]) = 0 s1 = 10166789, s2 = 11658277, d1 = 25, d2 = 23 Dl.O(d1) = 37577945,29030686,29030687,37577946,47483806,58865976,71589047,85156284,259952119,126922621,113068619 Dl.O(d2) = 60119742,267887180,22827845,267887208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10166789, s2 = 11658277, dlinesl.size( ) = 2 s1 = 10166789, s2 = 11658277, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10166789, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 8273151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8273151, s2 = 9203515, int(edited[s2]) = 0 s1 = 8273151, s2 = 9203515, d1 = 67, d2 = 53 Dl.O(d1) = 65541755,65541753,53517835,43039581,33982123,26142377,19445276,19445275,26142376,33982122,43039578,43039549,43039548,53517802,52877873,52877872,52916721,42507257,256663907,33480536,42474000,48086156,48086157,59476146,72213745,77991488,79086927,79086929,79086928,91915886,77991520,64797292,64797293,71183525,257445324,268434906,53675177,43164991,43164990,53675175,61260434,61260428,49781570,39762392,39762391,49781568,50423933,50423932,61260431,49781574,39762396,39762397,49781577,61260436,74040216,87643620,85124906,85124905,86165657,100131398,113054886,259486812,101555412,87592929,85127787,85127786,85127783,257782844,37535916,255855315,255421503,28990889,37531263,37531264,257470051,58237470,46869739,37535892,28990866,28990865,256890129,257193276,37531265,47439467,58826199,58829913,71557277,85127773,91542765,85124914,80393704,66963467,257896224,38118175,29553251,22208520,22208519,29553249,28603945,21370278,21370279,28603946,37113170,46998893,58369231,51660651,51660653,55350888,44504637,44504636,55350886,67690503,81156045,95213020,85159965,85159964,85757351,72162836,59423885,59423883,59423888,48031368,38118180,38118179,38118182,48031372,44825552,44825551,55732853,257576978,48031379,38118188,29553263,22208524,16077860,16077859,22208522,29553259,35400070,27273588,20337466,14595751,14595750,20337465,27273585,35400071,44825547,55732847,68130365,59061924,59061923,61899963,61899964,74693569 Dl.O(d2) = 78717554,65411832,53407731,42941159,33894734,26069478,26069477,33894732,42941155,52106273,63925949,61773619,61773620,53407703,52106278,52106279,43287357,254543526,25877793,25877792,33684214,41792266,33684280,33684281,42714369,33684301,25877858,25877859,33684304,42714386,53164153,65148566,65148520,53164151,53164093,52106281,41792277,32871190,25163629,25163630,32871191,34190286,26318462,26318461,23143885,23143886,19218515,13727793,13727794,19218516,25877802,33684228,42714314,42714382,42714383,52106275,41792273,255612678,25163627,32871188,26318494,26318495,33684310,25877863,25877862,32871195,25163632,18605736,13223649,13223648,18605735,13727894,9403877,9403841,8631407,8631406,8631430,5612779,5612780,8631431,12704450,17930277 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7702068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3142136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9552956, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2842690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2842690, s2 = 5339316, int(edited[s2]) = 0 s1 = 2842690, s2 = 5339316, d1 = 0, d2 = 2 Dl.O(d1) = 85176929 Dl.O(d2) = 221353527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2842690, s2 = 5339316, dlinesl.size( ) = 2 s1 = 2842690, s2 = 5339316, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2842690, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 7810461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7810461, s2 = 2843108, int(edited[s2]) = 0 s1 = 7810461, s2 = 2843108, d1 = 0, d2 = 0 Dl.O(d1) = 38893588,38893589,48814889,44589588,44589589,55439019,67781947,72457196,72457197,64240543,59721210,59721211,64240545,59721273,48336397,257053512,38431801,38431799,48336392,48336336,48336335,59721217,48336611,38431977,29871016,29871017,29870928,268640093,48336447,59721321,59721488,59721489,50500846,50500845,61992765,74789286,72457202,59721184,59721183,59205560,59187329,48336639,269345255,38431989,29871022,29871023,38431992,38431742,29870865,22511663,16337828,11367419,255096915,22511666,29870870,29870916,29870917,33092399,25359200,18776769,18776768,25359196,33092393,37882494,29313606,29313605,37882491,47806137,48336374,48336375,58007143,46632070,38431836,29870929,29870930,38431763,48336349,38431964,33092389,33092388,256502018,22511750,16337865,11367439,7552115,4775892,2878466,1670562,1670561,2878463,4775886,7552107,11367425,268228057,29870914,38431822,38431971,48336603,59721467,59721302,59721301,59721309,59721287,59721242,48336578,38431950,29870998,29870999,38431952,42910923,51424848,63121559,76126778,72457283,59721312,59721313,48336484,48336483,59515902,48128516,48128517,50430066,40396682,256468134,61919884,72457219,258253398,72457385,72457268,72457269,86055733,86055817,72457380,59721430,58073090,58073089,70790333,72457401,86055842,77762575,70790340,58073100,46701090,36818510,36818512,39767866,38431865,29870952,22511713,22511714,29870956,38431872,48336490,59721360,64579703,52679377,42292890,42292891,52679381,64579705,77762599,91419033,101709834,101709833,101709832,115756240,129654480,142983247,262801191,186946859,195032525,201950894,195032526,186946860,263425374,173767637,173767638,262190018,261122206,141221983,141221982,259765554,116175914,102117985,88129772,74517442,61735742,50257325,40237931,40237932,35377047,27252335,27252334,22353639,16202313,13419161,9175020,6005179,6005177,9175014,13419149,255599574,19875761,19875765,23379330,19533507,19533506,21317354,25660504,25660505,33428832,31371153,23876017,23876016,21268908,21268909,28485434,21500336,21500337,26661558,34653104,43926410,54668876,66925431,74222087,74222086,87827081,75040342,62217159,50696963,50696962,62217157,75040340,88691305,102700564,91653470,91653471,105861548,120074163,259385174,259385172,147141820,147141821,133917410,133917409,143729346,156255907,167844635,156255909,156255908,143729348,130403521,271855876,88460501,74827091,62030591,62030590,62030589,50539034,258297315,88460498,86746873,73139476,257765628,39073532,30480496,256459457,30480368,30480369,33612169,25813090,19164315,254938013,6138815,3840804,2301175,254304833,6138811,9371719,13684941,14915401,14915402,17046673,17046672,20830666,24465547,18045959,18045958,20353864,14610085,10053114,10053113,8538496,8538495,11340227,11340226,16297303,16297302,14933551,14563383,10021283,10021284,14563385,254576322,14020465,10270299,6749076,6749075,7066220,4449008,2672900,2672898,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,15596577,14976452,14902099,14902098,20346568,267877954,44771397,55680271,55374602,44528400,35152150,27066464,20172120,14472971,14472970,20172119,27066461,35152146,44528390,55374596,65756578,53699454,43187695,34102059,26238593,19521293,19514424,254952301,6296965,3945259,2362014,1367799,779068,441961,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771733,438399,438396,441911,778954,788757,446775,251413,247695,247693,439100,773157,1355666,2339172,3906166,6239334,6368129,9581705,6368082,6368083,9456871,9456870,9581697,6289633,3939549,2358322,2358320,2358445,1365534,777800,441363,248772,137410,137409,248767,441349,777779,1365495,2358383,3939642,6289785,9539565,9493019,9493020,12748457,9475532,8664126,8664129,12748457,9475532,8664126,8664129,8832772,5755628,3584100,3584102,5755633,6372298,3998644,3998645,6372293,9582012,6289896,3939709,3939708,6289894,9582010,13867078,254386460,14107670,14081670,255286833,9422110,8977474,5860935,3658865,2188962,1270300,725718,412639,412638,412649,412645,725733,1270340,779085,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441960,779066,1368027,2362523,3945923,6298525,9593712,13971018,19517322,26233566,34095848,34098918,43184219,43184220,53690970,47142927,47142925,47142926,58531178,71262936,84837122,98764449,98764446,98764447,112754631,126610594,261660281,152663984,153022602,140323509,140323508,140323511,126968240,113109662,99119462,85197145,71632418,71632419,85197148,99119463,99119464,113109664,126968241,140323513,261681735,126968244,126968243,140323518,153022606,164861236,273338775,175617816,175617817,170575920,159238709,260496862,127474006,113599344,99583774,85633505,72045396,59309823,47915607,37999632,37999633,47915608,59309825,72045397,85633507,99583775,113599346,127474008,127474010,113599347,99583777,270317636,72045399,72045400,71075517,58358932,46988904,37104306,28596446,28596445,37104305,46988902,58358930,71075516,83849604,81542964,81542963,68056119,55659268,255829750,27200756,20273795,14546207,10008497,6577586 Dl.O(d2) = 38893588,38893589,48814889,44589588,44589589,55439019,67781947,72457196,72457197,64240543,59721210,59721211,64240545,59721273,48336397,257053512,38431801,38431799,48336392,48336336,48336335,59721217,48336611,38431977,29871016,29871017,29870928,268640093,48336447,59721321,59721488,59721489,50500846,50500845,61992765,74789286,72457202,59721184,59721183,59205560,59187329,48336639,269345255,38431989,29871022,29871023,38431992,38431742,29870865,22511663,16337828,11367419,255096915,22511666,29870870,29870916,29870917,33092399,25359200,18776769,18776768,25359196,33092393,37882494,29313606,29313605,37882491,47806137,48336374,48336375,58007143,46632070,38431836,29870929,29870930,38431763,48336349,38431964,33092389,33092388,256502018,22511750,16337865,11367439,7552115,4775892,2878466,1670562,1670561,2878463,4775886,7552107,11367425,268228057,29870914,38431822,38431971,48336603,59721467,59721302,59721301,59721309,59721287,59721242,48336578,38431950,29870998,29870999,38431952,42910923,51424848,63121559,76126778,72457283,59721312,59721313,48336484,48336483,59515902,48128516,48128517,50430066,40396682,256468134,61919884,72457219,258253398,72457385,72457268,72457269,86055733,86055817,72457380,59721430,58073090,58073089,70790333,72457401,86055842,77762575,70790340,58073100,46701090,36818510,36818512,39767866,38431865,29870952,22511713,22511714,29870956,38431872,48336490,59721360,64579703,52679377,42292890,42292891,52679381,64579705,77762599,91419033,101709834,101709833,101709832,115756240,129654480,142983247,262801191,186946859,195032525,201950894,195032526,186946860,263425374,173767637,173767638,262190018,261122206,141221983,141221982,259765554,116175914,102117985,88129772,74517442,61735742,50257325,40237931,40237932,35377047,27252335,27252334,22353639,16202313,13419161,9175020,6005179,6005177,9175014,13419149,255599574,19875761,19875765,23379330,19533507,19533506,21317354,25660504,25660505,33428832,31371153,23876017,23876016,21268908,21268909,28485434,21500336,21500337,26661558,34653104,43926410,54668876,66925431,74222087,74222086,87827081,75040342,62217159,50696963,50696962,62217157,75040340,88691305,102700564,91653470,91653471,105861548,120074163,259385174,259385172,147141820,147141821,133917410,133917409,143729346,156255907,167844635,156255909,156255908,143729348,130403521,271855876,88460501,74827091,62030591,62030590,62030589,50539034,258297315,88460498,86746873,73139476,257765628,39073532,30480496,256459457,30480368,30480369,33612169,25813090,19164315,254938013,6138815,3840804,2301175,254304833,6138811,9371719,13684941,14915401,14915402,17046673,17046672,20830666,24465547,18045959,18045958,20353864,14610085,10053114,10053113,8538496,8538495,11340227,11340226,16297303,16297302,14933551,14563383,10021283,10021284,14563385,254576322,14020465,10270299,6749076,6749075,7066220,4449008,2672900,2672898,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,15596577,14976452,14902099,14902098,20346568,267877954,44771397,55680271,55374602,44528400,35152150,27066464,20172120,14472971,14472970,20172119,27066461,35152146,44528390,55374596,65756578,53699454,43187695,34102059,26238593,19521293,19514424,254952301,6296965,3945259,2362014,1367799,779068,441961,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771733,438399,438396,441911,778954,788757,446775,251413,247695,247693,439100,773157,1355666,2339172,3906166,6239334,6368129,9581705,6368082,6368083,9456871,9456870,9581697,6289633,3939549,2358322,2358320,2358445,1365534,777800,441363,248772,137410,137409,248767,441349,777779,1365495,2358383,3939642,6289785,9539565,9493019,9493020,12748457,9475532,8664126,8664129,12748457,9475532,8664126,8664129,8832772,5755628,3584100,3584102,5755633,6372298,3998644,3998645,6372293,9582012,6289896,3939709,3939708,6289894,9582010,13867078,254386460,14107670,14081670,255286833,9422110,8977474,5860935,3658865,2188962,1270300,725718,412639,412638,412649,412645,725733,1270340,779085,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441960,779066,1368027,2362523,3945923,6298525,9593712,13971018,19517322,26233566,34095848,34098918,43184219,43184220,53690970,47142927,47142925,47142926,58531178,71262936,84837122,98764449,98764446,98764447,112754631,126610594,261660281,152663984,153022602,140323509,140323508,140323511,126968240,113109662,99119462,85197145,71632418,71632419,85197148,99119463,99119464,113109664,126968241,140323513,261681735,126968244,126968243,140323518,153022606,164861236,273338775,175617816,175617817,170575920,159238709,260496862,127474006,113599344,99583774,85633505,72045396,59309823,47915607,37999632,37999633,47915608,59309825,72045397,85633507,99583775,113599346,127474008,127474010,113599347,99583777,270317636,72045399,72045400,71075517,58358932,46988904,37104306,28596446,28596445,37104305,46988902,58358930,71075516,83849604,81542964,81542963,68056119,55659268,255829750,27200756,20273795,14546207,10008497,6577586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7810461, s2 = 2843108, dlinesl.size( ) = 2 s1 = 7810461, s2 = 2843108, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7810461, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 11659044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2843342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2843342, s2 = 8062430, int(edited[s2]) = 0 s1 = 2843342, s2 = 8062430, d1 = 3, d2 = 59 Dl.O(d1) = 85200371 Dl.O(d2) = 38242815,29678091,29678092,38242818,269810457,33074838,33074837,38970667,30384349,30384350,268963771,60284266,71089752,71089753,58567490,58567491,48890761,257550772,12564809,8519732,8519733,5529004,5529003,7393442,255077777,12531329,12531328,9191568,9191567,7899812,5548112,5548111,8549508,254870091,5536292,254610731,3389762,3389763,5500101,3418625,2018580,254138131,254090319,107388,107390,196851,359484,647944,1154905,254278711,3404593,5517889,8519701,5521642,3408292,3408291,3412000,3411999,5525517,8526884,8548194,254756338,5560065,3444764,2039566,2039565,3421119,254415099,2018245,2018244,3418252,5532677,5576854,8487862,5508932,3397486,2002951,254137393,356461,356460,642246,358066,196094,107004,107008,58980,33179,19032,10908,6128,6126,10898,19006,33132,58892,107100,196272,358378,645836,1151311,2013071,3411307,5524875,254278026,268261559,37295677,255190604,21502504,28762166,29221189,21905912,255061993,7258741,7258742,10966460,15824991,16007570,15824978,15824977,21905909,17311024,255549279,12186783,12186782,17311025,16007050,16007048,22120837,29454955,29455996,29455799,22121780,22121781,256382501,31253241,23768964,23768963,31253240,30701392,23285562,17026407,11941428,7992373,254379523,1802147,1028720,1028722,1793972,1023437,576685,576686,1023442,1793979,1803300,1793710,1023253,576577,322631,322629,576571,1023243,1793702,3074696,5042810,3053354,1779087,1028206,579370,579369,1020658,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573169,2715052,4517398,5092702,5092701,5062025,3066943,1794996,1024106,1024104,1794991,3076418,5043443,3053891,3052304,1778133,1013745,1013747,1778139,3052321,3086449,5087258,4936951,4936952,5074063,5074064,5088226,3087286,1802775,1802773,3087280,5088213,7993459,7785092,5087136,5087137,7992170,11941243,11688653,11674578,7783523,4933755,4933754,7783522,11674577,11675665,7795103,7795104,11678905,11674902,7783796,4934024,4934023,7783794,7782088,7781637,4932147,2975344,2975346,4932154,4932802,2978962,1729200,254127291,309701,254101771,983012,1729197,2978048,4935711,7785753,11677119,11899302,13409666,254177964,3752645,2247220,1303505,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,5391453,7960152,5063375,5063376,7960149,5063393,3067867,3067866,5063388,7960172,5870448,5870450,8991563,11687620,16730142,22337419,16960407,11872320,11872318,16960405,267903140,255146036,19535780,17008487,11922200,7976349,7976351,11889796,7953188,5058424,3064632,254255908,5049866,5049865,7940192,11877538,7981258,7981256,7990406,8033528,11984072,8525441,7440212,4701241,4701243,7440192,10834941,7162231,4510932,4510936,7162211,7162210,10834915,15153363,15153364,17016050,11934174,7986702,5083047,3082943,1799147,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081565,7984308,8184766,12154276,17274872,23240745,29154916,21846150,15775692,10927566,7892511,5013204,5013203,3061061,3061062,5052575,7944765,11883658,16971370,23240609,255152600,255152602,29216584,30204589,22813168,22813167,30204584,30684052,23267072,17003084,11916079,7971025,7971024,11916073,17003074,22813406,16595175,16595174,22813400,30204932,38789726,31511209,31511211,38789126,38789295,30204525,22813120,22813121,30204527,38789298,38789762,30204985,255539624,47088979,47088980,47916052,42868939,42868940,48712285,38790367,38790366,47122166,47122165,58500761,60607867,60106817,60106818,72843338,60108225,48713020,48713021,47358598,37452160,256883103,36753845,36753844,269303965,258665292,6985555,4389450,4389451,6980249,6979435,4385177,4385089,2626798,1516494,859790,859788,1516483,2626782,4385067,6979303,10579943,15318053,21280723,28498305,257429459,70958499,259290423,112432214,262645815,273867704,264722611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2843342, s2 = 8062430, dlinesl.size( ) = 36 s1 = 3143441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164326, s2 = 9407097, int(edited[s2]) = 0 s1 = 14164326, s2 = 9407097, d1 = 34, d2 = 17 Dl.O(d1) = 256888806,28977714,28977713,21695110,15654822,10835841,7162871,4942009,2982236,2982235,2713620,1803809,1029950,1029949,1799032,1799033,3082801,5082872,7986442,5083255,3083084,3083085,5046006,3056434,1781332,1015813,1015812,578772,323742,323743,578776,1027232,1016727,1016729,578509,578508,1020099,1020102,1026533,578363,576048,576049,1022375,1014918,572076,320432,320435,320467,320465,572146,1015031,1014580,1014581,1779451,1031538,581308,579790,579789,1028976,1802485,2713608,1801041,1027898,1027899,580072,580071,1029464,1014564,571889,571888,580093,571477,571478,1013840,1778289,1779186,3053696,5043195,3090095,1804871,1792635,1022492,1022493,1027109,1027108,1799894,2710397,2710396,1802834,1029181,579903,579901,1029173,892761,503748,503749,892763,1570155,1802539,1029006,579807,324276,179143,98545,98544,179140,324270,579793,1028982,1802498,3086927,254565173,11942038,16955630,11941632,7992542,7992541,11941629,11889838,11889839,11676335,7785018,7784017,7784018,7930589,11676435,7993413,7993414,7933674,5044354,5044350,4935159,4935158,7785080,11676414,11678374,7786874,7786873,11399983,11691731,7970786,5071721,5071722,4943790,4943793,7796336,11676639,7785257,7785258,7787727,7992671,7992672,11672771,16714538,16720443,11678797,7787313,4937060,4936722,2978764,254369397,4935271,254247203,982500,553152,309560,309561,553144,553143,982481,1728296,1727452,982016,982015,1727447,2976410,2976605,1727573,1727577,2976621,4933036,4931774,2975043,2975044,2977860,2977861,4932777,4932914,2977619,1728270,1728274,2977630,2975853,1727097,981850,552843,309419,309418,552838,981840,983040,553439,553440,521765,521767,925640,1627795,2805985,2974846,1726451,981532,981533,982161,1727719,2976827,2975425,1726833,1726835,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,982618,553213,309592,171254,171251,309583,171463,171443,171445,171484,310057,554113,984303,1731418,1108249,1108250,1940190,3298813,4940979,2981643,1730824,1730823,2981642,254553113,11685735,16728452,17075380,17075381,16730164,11687641,11687640,12356514,12356513,17013027,17013026,22200297,16071344,16071345,12133211,8163433,5233339,254257930,1869545,3193936,5233330,8163420,11685394,11737464,11737463,12007187,254104316,11898034,11897641,7956278,7956276,11897638,11691297,7797381,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,3058147,1782596,1782597,3058199,5048093,7937924,11684658,16727377,16715341,11673528,11673529,11875373,16140131,22081953,17024886,17024887,17033138,17033139,16712779,11671137,7780299,7780300,11671140,267769338,22949552,30351215,38937091,48856344,38937088,38937089,48856346,60248944,72984241,71180865,58458808,47080720,256450408,28664451,32181975,40960654,40960655,51102611,62733608,58458810,47080721,47080722,37773567,32525494,32525493,41374811,51599913,63323596,71833222,59093319,47694891,47694889,59093315,48089673,38177901,37773620,29211682,21897506,15818882,10962687,268942218,29211684,37773623,47694988,47694986,59093383,47694957,37773588,29211663,21897494,15818877,10962682,7256543,7256544,268079433,21897499,29211675,37773610,47694995,59093420,70687490,59093295,47694878,37773530,29211632,21897481,15818870,255434637,29211635,37773535,46593344,46593345,48089666,59479158,72216226,255896562,71833290,59093407,47694982,47694983,46593299,36706342,28214933,21020881,21020882,28214935,21477041,21477040,28734346,37266552,255506436,39145827,46593354,57969685,61421228,49943219,39925500,31249826,31249825,39925497,46593306,46593307,42446120,33453037,255943448,19058554,13605679,9316513,9316514,9316593,6102963,3818576,2287680,1327191,1327190,2287675,3818567,6102940,9316549,13605756,19058686 Dl.O(d2) = 267881707,254496439,4379698,2623007,1513881,254224063,4379696,6971696,10569906,15306049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164326, s2 = 9407097, dlinesl.size( ) = 2 s1 = 14164326, s2 = 9407097, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164326, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 2844070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9122290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8677118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8370014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9508496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2175048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2175048, s2 = 13271430, int(edited[s2]) = 0 s1 = 2175048, s2 = 13271430, d1 = 11, d2 = 4 Dl.O(d1) = 59021841,71765714,85356105,86077032,72479005,59743786,256957466,31375839,28840638,21569326,21569325,28840636,37380562,31375559,31375560,31375631,23879406,23879407,23879458,23879457,30185702 Dl.O(d2) = 1610410,1610411,2776078,4610607,267971439,15910200,15910806,22012357,29343415,29343416,22011635,15910114,11031477,7306250,267828483,1610365,916237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2175048, s2 = 13271430, dlinesl.size( ) = 2 s1 = 2175048, s2 = 13271430, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2175048, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 3145689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2521821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13493093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13493093, s2 = 13808558, int(edited[s2]) = 0 s1 = 13493093, s2 = 13808558, d1 = 27, d2 = 37 Dl.O(d1) = 48542762,59935356,72674831,77550883,77550856,77550855,86085963,72488618,59754405,59754406,52509623,52509622,64382961,77550859,91481685,259589638,99058071,85133630,71563422,71563423,258533302,81106158,67640038,55301737,51694622,268681570,258193707,86790511,99313906,85368974,76492063,63444590,51694620,41444295,32577610,29152081,29152082,258091147,85368976,99313911 Dl.O(d2) = 206683127,211642530,215696983,219050525,221882960,265043000,225079082,225078979,225078958,225078960,222752481,220045805,220045806,222752483,225078994,227099937,225078915,222752495,222752493,220045849,220045848,222752570,225079091,225079014,222752508,222752507,225078923,222752429,220045769,216841723,212977547,208251870,263854970,208251883,202522534,195705211,195705210,202522531,208251878,212977565,216841716,216841715,264726296,222752590,225078998,225078997,227100042,225079074,222752562,222752563,225079075,227100030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13493093, s2 = 13808558, dlinesl.size( ) = 22 s1 = 3146792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3146792, s2 = 13279082, int(edited[s2]) = 0 s1 = 3146792, s2 = 13279082, d1 = 90, d2 = 88 Dl.O(d1) = 99323867,85379245 Dl.O(d2) = 46745046,36863745,28365442,28365441,28366518,29925260,29925261,254888672,29478514,22141282,16023792,15198924,15198923,21154321,21149816,15195973,10481450,268067231,15195976,21149822,28366107,36864280,28367979,256300939,28368512,28368511,256839775,268991243,36866229,28368581,21151851,15197217,10482099,6910958,6910957,255382991,21809803,21809804,17355596,16949329,16949331,23222402,21149547,15195815,15195814,21149543,28365774,36864030,256507089,23801450,17468551,12315628,8318806,8318805,8318833,5368075,5368076,8318902,12315822,16946060,16945598,11859956,7926449,5038953,3050723,1777251,1777255,3050709,1777243,1777241,3050705,5038912,7926337,11859744,16945228,21819632,21819633,29126490,23223585,16950368,16950369,23223587,30645821,39242044,49167820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3146792, s2 = 13279082, dlinesl.size( ) = 18 s1 = 3147598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10188912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10188912, s2 = 9375078, int(edited[s2]) = 0 s1 = 10188912, s2 = 9375078, d1 = 2, d2 = 1 Dl.O(d1) = 70874583,58160327,46792748,254744566,28417249,36915017,46792750,47665924,47665923,59065871,256903672,269799130,115652298,112324524,98341628,84432063,70874587,70874588,256889504,101611221,101611220,98341634,98341635,112324528,269790704,87644271,74041018,61261344,61261343,58160332,58160333,70874595,61958213,61958212,74758238,88392135,99337854,101611221,101611222,99337853 Dl.O(d2) = 101611226,101611225,112324524,98341628,84432063,70874587,70874588,84432065,98341631,112324527,113339964,99337846,85394474,85394475,89466546,75701651,62754747,51123539,51123538,62754745,75701647,84432054,255854814,58160326,70874581,77516126,64350716,52480616,46792754,46792749,46792750,58160328,70874588,84432065,98341631,112324527,113339964,99337846,85394474,85394475,89466546,75701651,62754747,51123539,51123538,62754745,75701647,257469744,84432056,255854816,46792748,46792747,58160326,64350715,52480616,46792754,36915019,28417250,28417249,36915017,46792750,47665924,47665923,59065871,71806473,85394478,99337852,113339959,99337840,85394471,71806468,71806469,59065872,268933387,21872282,21872281,29183195,29191777,29191776,29192145,29193380,21881475,21881476,29193382,26980379,20091730,20091729,26980377,30820556,254753422,12298856,8306396,8306398,12298860,15793045,21866594,29177077,37737898,47659698,59059944,71800573,59060034,47659803,37738015,29177219,29177220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10188912, s2 = 9375078, dlinesl.size( ) = 2 s1 = 10188912, s2 = 9375078, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10188912, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 7186123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7186123, s2 = 8448877, int(edited[s2]) = 0 s1 = 7186123, s2 = 8448877, d1 = 44, d2 = 72 Dl.O(d1) = 263731308 Dl.O(d2) = 260562311,71807638,257483625 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3147778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658278, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13751245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6753301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7716132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2850698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6669890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6669890, s2 = 9275141, int(edited[s2]) = 0 s1 = 6669890, s2 = 9275141, d1 = 61, d2 = 94 Dl.O(d1) = 257151104 Dl.O(d2) = 173722241,173722242,174436927,163596268,151717477,139013397,139013396,272467846,137619680,123941160,109804717,95602359,81568785,68078883,55680091,44771235,256236617,20294269,14563199,10021148,10021149,14563200,20294270,27222667,27222665,27222664,28903218,29954686,22590765,22590766,28751127,37285421,255786552,71318835,84892817,98820022,112811265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6669890, s2 = 9275141, dlinesl.size( ) = 74 s1 = 10348255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6753759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3150990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3150990, s2 = 11658571, int(edited[s2]) = 0 s1 = 3150990, s2 = 11658571, d1 = 0, d2 = 0 Dl.O(d1) = 33549948,33549947,42566602,53006540,64981221,78254370,92281170,106579072,120827044,113406126,99405307,85464531,258414968,47742874,37820618,29255390,21934389,15846714,10981968,7269092,7269096,8383265,8366975,5400052,3320283,3320284,5398166,8363541,12376767,10903887,7211427,4543616,2731313,2731314,4543619,7211430,10903892,15743983,16800429,11747216,11747217,8367409,8367410,7464185,7464186,11244967,16178215,22323439,17401527,17401528,17397926,17397928,14447491 Dl.O(d2) = 33549948,33549947,42566602,53006540,64981221,78254370,92281170,106579072,120827044,113406126,99405307,85464531,258414968,47742874,37820618,29255390,21934389,15846714,10981968,7269092,7269096,8383265,8366975,5400052,3320283,3320284,5398166,8363541,12376767,10903887,7211427,4543616,2731313,2731314,4543619,7211430,10903892,15743983,16800429,11747216,11747217,8367409,8367410,7464185,7464186,11244967,16178215,22323439,17401527,17401528,17397926,17397928,14447491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3150990, s2 = 11658571, dlinesl.size( ) = 2 s1 = 3150990, s2 = 11658571, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3150990, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 3151034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8296017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13416469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13416469, s2 = 13635979, int(edited[s2]) = 0 s1 = 13416469, s2 = 13635979, d1 = 11, d2 = 28 Dl.O(d1) = 99417666,99417665,99417667 Dl.O(d2) = 176058774,260894500,170869369,159541852,272378747,120119829,105908223,91701114,91701115,105908224,120119827,133961389,133961390,133961391,120119826,120119825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13416469, s2 = 13635979, dlinesl.size( ) = 24 s1 = 6753993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2853189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9696993, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3152795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3152795, s2 = 9574199, int(edited[s2]) = 0 s1 = 3152795, s2 = 9574199, d1 = 57, d2 = 9 Dl.O(d1) = 99446721,99446722 Dl.O(d2) = 84930516,98857730,84930515,84930514,98857729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3152795, s2 = 9574199, dlinesl.size( ) = 8 s1 = 3154030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7914298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7914298, s2 = 10347930, int(edited[s2]) = 0 s1 = 7914298, s2 = 10347930, d1 = 26, d2 = 22 Dl.O(d1) = 268398254,31774863,24262540,17884565,17884566,255591878,22221963,29568406,33301371,32837495,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539630,254657524,52669768,42424380,33432120,33432119,37890146,37890147,30802007,30802006,39406689,46579655,36693311,36693310,46579653,44467267,35090782,30559761,30559762,26160324,19460502,15134044,10437940,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293938,7293934,11017513,15892775,255275630,23341875,254659192,8040549,8040551,11988861,12371434,17539975,23886428,258106475,85536825 Dl.O(d2) = 99441597,85499901,71914769,71914768,270832383,52268486,256627152,13301051,9082682,9082683,13301053,15018783,20926772,28102803,36574418,46439504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7914298, s2 = 10347930, dlinesl.size( ) = 2 s1 = 7914298, s2 = 10347930, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7914298, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 10347931, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3154436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9708336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13627979, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6688006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6754820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6754884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6754884, s2 = 11399339, int(edited[s2]) = 0 s1 = 6754884, s2 = 11399339, d1 = 12, d2 = 24 Dl.O(d1) = 258110097,85577856 Dl.O(d2) = 165240724,262207866,263128058,262207869,140569600,261691201,273114559,153250900,140569596,127224270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6754884, s2 = 11399339, dlinesl.size( ) = 24 s1 = 3156738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3156738, s2 = 566995, int(edited[s2]) = 0 s1 = 3156738, s2 = 566995, d1 = 25, d2 = 4 Dl.O(d1) = 99530053,85583218,71996498,59260076,47864093,37945492,29380473,22050178,15946913,11066269,7337571,4634924,4634928,7337577,11066278,15946919,15956200,15956199,15963441,22045242,15942310,11076451,7344645,4638991,2794244,1620764,921687,921683,1620757,2794230,4639098,7344840,7140612,7140611,4635165,2792171,1619723,921192,519394,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920920,1619144,2791016,4633056,7334320,11061272,15940434,11070109,7340305,7340304,11063846,12022531,12022533,17108436,15966386,11081990,7348444,4641306,4641307,4641165,2795366,1621378,921964,921965,1621384,2795385,4641196,7348264,7387795,4667264,4667266,7387799,11080170,7347199,4640487,4640488,7347205,11067987,15949055,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060295,15939067,22041798,29372805,37939081,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930169,18930083,255337470,29744338,29345830,29345831,27091247,20192499,14488197,14488196,20192496,21710247,28994740,22051736,21977124,15882238,11009470,7288099,7288097,11009412,7574554,7574555,11399541,16379484,18922281,22043186,25055343,25439207,22273754,22273753,19511899,13966541,9589903,9589902,13966533,19511879,21465214,21465215,28721455,24761673,18923267,18923266,19803238,16295326,11337639,11204987,8778627,5717431,254628111,12905052,18194615,24652312,32251331,41044341,51200414 Dl.O(d2) = 14528406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3156738, s2 = 566995, dlinesl.size( ) = 2 s1 = 3156738, s2 = 566995, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3156738, Dl.E( ) = 28, 1.6e-05 seconds used appending s1 = 8449146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8350531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8350531, s2 = 10228717, int(edited[s2]) = 0 s1 = 8350531, s2 = 10228717, d1 = 2, d2 = 10 Dl.O(d1) = 85593557,85593559 Dl.O(d2) = 113552279,262220839 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164634, s2 = 4480568, int(edited[s2]) = 0 s1 = 14164634, s2 = 4480568, d1 = 14, d2 = 11 Dl.O(d1) = 236673028 Dl.O(d2) = 176720532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164634, s2 = 4480568, dlinesl.size( ) = 2 s1 = 14164634, s2 = 4480568, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164634, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 1150691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2860025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3158947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3158947, s2 = 7973958, int(edited[s2]) = 0 s1 = 3158947, s2 = 7973958, d1 = 1, d2 = 2 Dl.O(d1) = 99578748 Dl.O(d2) = 29431993,22100081,15990546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3158947, s2 = 7973958, dlinesl.size( ) = 2 s1 = 3158947, s2 = 7973958, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3158947, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 6808973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6808973, s2 = 11543744, int(edited[s2]) = 0 s1 = 6808973, s2 = 11543744, d1 = 76, d2 = 70 Dl.O(d1) = 258739218,85630061 Dl.O(d2) = 264868595 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6841888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6841888, s2 = 11148398, int(edited[s2]) = 0 s1 = 6841888, s2 = 11148398, d1 = 14, d2 = 17 Dl.O(d1) = 259105173 Dl.O(d2) = 47919973,38004288,29441359,22107938,15996565,11105057,11105058,15996567,22107939,256381831,47919974,257590190,47919974,59313436,72048420,270835309,99586368,91272451,77352479,64204765,52354454,52354455,64204767,64204769,64204768,77352476,77352477,91272447,91272453,91272452,91272450,77352479,64204765,52354454,42015256,33071311,25341544,18761430,13359668,9130376,5974973,3737281,2237573,1297631,1297626,2237558,3737253,5975981,9131863,13361909,18764493,25345401,33075554,42019614,52358728,64208898,77356557,91276451,105498552,119736778,133610246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6841888, s2 = 11148398, dlinesl.size( ) = 2 s1 = 6841888, s2 = 11148398, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6841888, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 8402295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8402295, s2 = 13635886, int(edited[s2]) = 0 s1 = 8402295, s2 = 13635886, d1 = 49, d2 = 39 Dl.O(d1) = 127479502,113605234,99589951,99589943,99589944,99589956,85639891,85639890,99589954,113605237,261157678,99589951,85639886 Dl.O(d2) = 86189658,72592146,59854520,59854519,72592144,86189657,85639894,72052444,59317707,47924696,38009839,29447585,22114091,22114092,23562361,17251648,255152596,8162484,12132180,17248328,12129998,8161192,5231720,3192862,3192863,5230678,8159984,8161541,8161540,12130535,17245945,16858719,16858717,16858713,16858712,17249247,17249248,17252020,12132444,255512074,1066169,599279,333891,333890,599274,1066162,1868812,1868813,3192923,5231822,8161355,255157063,16858366,23117941,30536848,39135863,49066212,60469715,49736806,39718325,39718324,257627385,258822115,73242228,72508708,60495429,49092161,49092160,60495427,258822113,87609813,259483639,73242227,73242226,259446355,259448692,113552205,113552202,261155949,261239564,120219154,106017106,91822004,77900657,77900656,259676439,120219150,129477702,115592577,101556048,101556047,115592575,120219143,120219110,120219111,134054532,134054562,147273302,147273291,147273292,134054541,120219125,106017093,91821994,91821980,77900632,64711994,52798184,52798185,259049633,85619626,99570139,113586604,127462713,116393585,260745131,261708162,130227410,116393586,102303409,260147841,102303404,116393577,130227406,130227568,116393796,102303628,270402129,61889115,269884419,61888881,61888882,74681888,88308865,74681884,61888877,61888878,74681870,61888864,50398592,40363518,31669035,31669037,31669150,271418074,50398797,40363690,40363687,40363688,50398794,258286359,88309113,260147855,271418078,102303594,116393758,130227526,143551670,156083706,159751012,147405175,134192832,120359415,106156608 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2538282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7722364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7722364, s2 = 10342262, int(edited[s2]) = 0 s1 = 7722364, s2 = 10342262, d1 = 54, d2 = 83 Dl.O(d1) = 273714382 Dl.O(d2) = 33588213,256231183,27136211,35230762,44611929,55460453,259171319 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13421569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9487966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9487966, s2 = 16371903, int(edited[s2]) = 0 s1 = 9487966, s2 = 16371903, d1 = 2, d2 = 13 Dl.O(d1) = 111611319,97692714,83834850,83834851,268597610,47938232,38024500,29462426,255885524,16013054,22127781,29462427,38024503,257504985,72064255,85651557,99601553,113616715,127490708,140848772,153526883,165320005,176013886,185486735,193753024,186398045,177040609,262991858,154749984,142114710,128758845,114861254,100809686,86828309,73215251,60468484,49065058,39134880,257256448,23117348,16857895,16857894,11790597,7873242,4998262,4998263,7873244,11790600,16857897,23117349,26402082,19667814,14098227,9696512,6377269,6377270,9696513,14098229,19667816,26402084,34277259,40936126,32157926,24573654,24573655,32157928,40936132,43376291,43376290,257702782,65966395,61922863,50433005,40399713,40399714,47361972,37455860,28916447,21642018,15610165,10800147,10800148,15610168,21642028,24202163,24202162,31709851,36771389,31470808,23974769,23974770,31470812,40155066,50180101,61665450,61576517,50096668,256979672,47362002,58748856,71477998,85049596,88061372,74449345,61665447,61665446,53898031,256435898,34275344,43374201,53898033,58748853,47361995,37455879,37455878,40401947,50435987,61926467,71477986,58748829,47361986,37455873,28916456,21642023,21642022,28916453,37455868,47361975,58748836,50180086,40155053,31470799,24202165,24202166,256548863,50435994,61926471,74353273,74353258,61576484,50096636,50096637,51059061,61576486,61576487,64582172,58309362,58309361,71025012,84589336,72867578,60473877,60473876,73220252,84978474,71404399,58670198,53515861,50096646,256525889,23901002,268441809,268997317,61576497,51059132,40918416,32141218,32141217,40918414,38748082,38748083,40075821,50096631,61576479,256077100,33980383,33980382,256077098,61474997,73077883,60337725,60337724,58309366,256856283,37063850,46942886,42798989,33767196,25958401,25958399,33767194,38815735,38815734,257056599,39877847,49899297,61379828,74160409,258793080,257560520,50096622,40075817,40075818,50096625,50096656,50096655,53515856,53515857,255875656,38405684,256370904,257493350,48736066,38815743,30232500,30232499,38815739,38405687,29833935,29833934,22839932,16617896,11591543,11591542,16617894,22839928,30232496,38815733,48736057,60130779,72867608,72867620,60130793,48736070,48736069,60130791,49899312,39877858,31196645,23707978,17384816,12250721,12250720,17384814,256005191,37848454,47771597,59170635,59170628,47771587,47771586,59170626,71908806,85493809,81276545,67808841,55467084,48569258,38653391,30076678,24292189,17910365,12688834,8619558,8619557,12688833,17910364,24292188 Dl.O(d2) = 257191740,99324096,85379671,71790572,59049103,59049104,71790574,76008284,63025226,55395925,55395926,67735146,73183938,73183939,61451390,59685606,48299008,38388450,29815547,29815548,38388453,48299013,59685614,72420675,71790422,71790419,85379542,86017245,99977064,95596100,81562753,68072916,55674039,55674040,68072917,61411822,49933191,49933192,59685595,48298997,48298996,258142943,86017275,99977077,99323822,99323821,99977078,86017276,86017275,99977077,258396108,59685616,48299016,48299017,59685619,71790086,59048587,59048589,71790091,85379320,72300195,59566324,48180472,48180471,59566322,72300189,61744208,50265904,50265903,61744203,74525902,88137773,102125098,88366190,74737212,61942676,50451166,40416676,40416674,50451165,59048426,59048428,71789902,85379167,86001189,86001190,84094564,84094563,257781362,88137773,102125097,99977084,99977085,113326893,99323948,85379361,71790143,71790144,71790341,59048880,47647538,47647539,47647709,37725745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9487966, s2 = 16371903, dlinesl.size( ) = 2 s1 = 9487966, s2 = 16371903, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9487966, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 14077455, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13965183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13965183, s2 = 10154111, int(edited[s2]) = 0 s1 = 13965183, s2 = 10154111, d1 = 5, d2 = 11 Dl.O(d1) = 257163720,258992722 Dl.O(d2) = 21119513,15172186,255380997,28330555,36826509,46707979,58078969,58080224,46708852,36826643,36826644,46708855,58080228,70796940,70796913,58080188,46708792,46708793,58080190,58079029,46707417,36825439,36825438,36826020,28330234,28330236,36826025,36825877,256836897,46707799,36825741,36825740,46707796,46708673,36826482,36826481,46707536,46707528,36825537,28329916,21119146,15171984,15171985,21119148,28329920,256298177,36826352,28330613,21119553,15172210,10463845,6897374,6897373,10463842,15172207,21119545,28330601,36826579,46708782,256919885,29371989,22041007,15938444,11059905,7333506,7333507,11059907,15938449,22041015,29371997,37938337,43850729,43850708,34578899,26591625,26591626,34578900,37444703,37444702,47351291,51919651,41617696,41617697,51919652,43850734,34578922,26591644,26591645,34578924,35137158,27051378,27051379,35137162,44514117,46396906,37444587,28905242,21630938,15599836,10791707,7129867,4488591,4488590,7129864,10791703,15599830,21630927,18495435,13140105,13140106,18495439,23090511,16836182,16836183,23090513,23196762,30617695,268072132,47351314,37444720,28905328,28905327,37354591,28815523,21546925,21546926,15944518,11064444,11064443,15944514,22047564,28671029,37193024,47088914,38816965,30233634,30233635,38816966 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8297490, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2862855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6738291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2541410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3162344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6915137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13267763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13267763, s2 = 9024353, int(edited[s2]) = 0 s1 = 13267763, s2 = 9024353, d1 = 289, d2 = 292 Dl.O(d1) = 28656814,21413096,15423996,15423997,21413097,268613471,38171834,38171835,48084210,47999201,47999200 Dl.O(d2) = 72402185,269813901,256409155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 6755976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2542466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2542466, s2 = 8033048, int(edited[s2]) = 0 s1 = 2542466, s2 = 8033048, d1 = 22, d2 = 23 Dl.O(d1) = 72128164,72128165,85712999 Dl.O(d2) = 261255462,269374484,256484262,40868179,38955495,30369374,22967886,22967885,19294861,13795177,13795178,19294844,16461290,16461286,18909008,13477346,9218669,6036418,6036417,9218662,7623592,7623593,11461447,16449810,16598620,16598619,22817880,30011874,22640372,22639539,20139238,14445339,14445338,20139232,27031928,22638875,16450022,11461563,7623662,4823453,4823451,7623653,11461544,16449982,22638822,25960290,19295275,16451184,16449918,16449920,16451172,22640517,25960033,21900022,21900021,29214223,22639013,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542359,28008638,22638485,16449783,11461436,11461439,16449793,17132219,22639938,16450849,11462043,7623950,7623946,11462028,16450822,17114946,22639902,30011261,38582163,32928840,25212787,18647661,18647662,22456980,16289092,16289093,19294827,25959651,33768481,42800207,53252770,65242333,78532601,92580320,106899683,121166809,134975809,148098050,160341330,157128893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2542466, s2 = 8033048, dlinesl.size( ) = 2 s1 = 2542466, s2 = 8033048, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2542466, Dl.E( ) = 42, 1.79e-05 seconds used appending s1 = 2865830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8152503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8152503, s2 = 9032202, int(edited[s2]) = 0 s1 = 8152503, s2 = 9032202, d1 = 30, d2 = 19 Dl.O(d1) = 12903392,12903393,18192357,24649439,32247948,41040554,51196501,49991215,49991214,258255925,51329626,41144168,41144167,51329623,50537823,40502677,40502678,50537826,46921945,46921944,44364128,44364127,51196515,41040568,32247957,32247955,41040564,44364190,49279898,49279897,60680732,55217040,44366002,34988015,26907397,26907396,34988012,44366000,55217036,60680729,73428387,87045732,260587595,99669765 Dl.O(d2) = 256931421,38110906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8152503, s2 = 9032202, dlinesl.size( ) = 44 s1 = 2653811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2653811, s2 = 7701046, int(edited[s2]) = 0 s1 = 2653811, s2 = 7701046, d1 = 25, d2 = 117 Dl.O(d1) = 74816189,72162337,72162339,85756867 Dl.O(d2) = 199054507,273090378 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6760978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6760978, s2 = 9662479, int(edited[s2]) = 0 s1 = 6760978, s2 = 9662479, d1 = 74, d2 = 82 Dl.O(d1) = 258167972 Dl.O(d2) = 260103053 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 3164591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13425599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13425599, s2 = 1844030, int(edited[s2]) = 0 s1 = 13425599, s2 = 1844030, d1 = 21, d2 = 12 Dl.O(d1) = 84038306,84038307,85775138,83965722,70438680,57743702,46789782,257422333,70871177,84428528,98338108,112320903,126181255,258656628,84650828,72180788,59442249,48050563,38137280,38137279,48050560,59442242,258656632,49770112,39751605,31073930,23590627,17278794,17278795,23590629 Dl.O(d2) = 48050965,48050968,48050566,48050565,59442252,72180793,85775148,258454608,53879772,44438466,35064354,26980873,20092124,20092125,20092308,20092307,26981070,268211582,28685792,35064125,40167743,35064587,26981117,26980467,20091795 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9734891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9734891, s2 = 6726915, int(edited[s2]) = 0 s1 = 9734891, s2 = 6726915, d1 = 37, d2 = 41 Dl.O(d1) = 70511285,70511286,256281850,51584274,256602065,255594173,3469682,2057568,2057570,3469686,5592544,8606085,8606856,12673717,17892330,24270021,17890770,12672527,8607699,5593587,5593586,8607694,12674896,17893903,24272815,17893157,17893156,24272810,24271692,24271691,24269854,17890629,12672395,8605972,8605958,8605957,12672377,17890601,17890569,17890567,256047023,24269769,17890549,12672342,8605935,8605934,12672338,17890537,24269751,24699516,18229803,12930301,8796194,5729605,3567441,2126253,1226713,693976,388682,384663,214981,117844,64464 Dl.O(d2) = 47172270,58561292,71293374,73581765,60832158,60832109,257635590,70312000,257769542,30101941,22720118,16515127,11509476,7656490,7656491,11509480,13311496,13311495,17636283,17636284,23982640,31479491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9734891, s2 = 6726915, dlinesl.size( ) = 34 s1 = 3165059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3165059, s2 = 2867495, int(edited[s2]) = 0 s1 = 3165059, s2 = 2867495, d1 = 10, d2 = 8 Dl.O(d1) = 99732200,85778228 Dl.O(d2) = 258393468,63534272 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2867580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2867580, s2 = 15386835, int(edited[s2]) = 0 s1 = 2867580, s2 = 15386835, d1 = 43, d2 = 105 Dl.O(d1) = 85779639 Dl.O(d2) = 257213736,42578449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2867580, s2 = 15386835, dlinesl.size( ) = 68 s1 = 3165178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7667875, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9737223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9361010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9361010, s2 = 14164611, int(edited[s2]) = 0 s1 = 9361010, s2 = 14164611, d1 = 0, d2 = 0 Dl.O(d1) = 63539403,76618107,77419242,77419240,90476745,76618242,63538584,51759814,41489366,32609924,24945539,18431119,18431120,24945541,32609932,257160919,63538601,51760030,51760029,41490113,41490114,41490102,32610575,24946051,24946050,32610573,41490100,51760396,51760397,41490109,41490108,51759470,63538224,51759593,41489196,32609817,32609818,24945981,24945980,32610479,41489976,51760439,63539139,76618687,76618931,63539348,63539347,76618925,90477213,76618892,63539320,51760576,41490094,41490093,41489359,41489360,32609929,32609930,41489379,50204738,61687523,74470607,76618039,63538300,51759554,51759552,63538292,76618026,76618907,63539330,63539331,76618909,76618650,63539102,63539103,76618657,64188135,64188134,77335235,90477189,259252483,83947715,97807040,260232532,258989090,118820720,104640542,90476982,90476983,104640543,90477208,76618887,63539314,258362461,76618227,70790713,58073477,46701444,46701443,58073474,70790710,84349413,90476565,104640340,104640705,104640704,98687677,258680425,58470023,58470022,71191706,76618841,64188140,52337952,41998759,33055296,33055295,257187755,270292407,98687705,84760309,71191737,58470054,47092240,37196518,37196517,47092239,58470051,71191734,84760305,98687702,112682402,105477177,98256747,98256746,84760389,71191826,58470125,58470124,71191814,71191710,58470251,47092371,47092370,58470248,71191942,67637880,55299813,44455248,44455247,55299809,67637872,77555624,91486392,84760319,84760320,98256805,84760339,71191761,58470082,47092257,37196529,28674188,21426378,21426376,28674184,37196523,47092247,53723545,53723544,65780128,58470095,58470093,71191697,58470013,47092222,47092223,58470018,71191702,84349339,71191831,58470129,47092293,37196549,28674195,28674194,37196544,47092285,37196594,28674217,28674218,37196598,47092387,55299820,67637884,71191725,71191868,58470170,58470168,58470175,58470176,58073394,46701396,36818887,28323468,28323469,36818889,46701403,58073409,270282611,84760316,84760317,84349313,70790614,58073392,58073387,46701393,46701394,258025721,58073401,46701400,46701399,58073399,58470001,58470000,71191683,84760262,95081718,95162228,90476891,76618489,76618490,88441909,74809454,67697112,67697114,81022461,81022462,257789060,85092842,99018128,271038186,260275151,77555602,77555603,91486378,98256755,84349351,70790657,58073429,58073431,67697128,81162982,258057976,95219603,100029483,86065957,72467258,72467256,86065955,100029481,109473586,109473587,259309026,104640507,97711765,83852637,258682276,71216357,270292919,98713148,109473641,123665550,113006619,99018148,85092862,71520622,58791052,58791053,70327267,57636733,57636734,58494429,268614390,28693553,28693554,256867813,258057961,84785290,86065921,72467210,59731365,59731366,72467212,86065924,100029454,95219535,256867778,67697027,70327303,70327301,70327288,57636750,57636751,48347225,48347224,55357122,55357123,67697087,81162950,83852571,84785225,71216279,70327254,70327255,70876346,58162148,46794633,36916819,28418945,28418944,27980037,27980036,36439166,46292304,46292243,46292244,57636672,55357135,55357136,67697104,72341252,72341251,84785331,71216413,58494536,258057968,70327298,67697100,57636768,46292334,36439199,256806133,57636764,48347308,48347307,59606778,257384361,36439362,27980249,27980250,36439363,46292504,57636909,70327415,83852737,70377188,57685057,46337870,257387733,36481833,28020469,20853834,14953015,10286987,6762097,6762098,4273055,4273057,6812525,10286986,9065451,9065453,6786647,4254518,2543406,2543404,4254507,3817732,2287191,2287192,3817734,6101621,9140615,13288919,255247881,25252537,32975294,25252535,25252536,32975295,41915285,52253287,53077766,42630268,33605352,33605351,42630266,53077763,65060123,78338949,92371794,106675837,120928670,134726820,147852307,160106036,171331933,181360151,190168703,197773912,204253798,209659452,214094358,217735646,218794754,215407734,211308734,206292297,200224900,193039966,184666276,175076838,164272270,152397804,259961708,112436441,98446946,257483228,58244791,46877809,46877810,46877921,36999566,28502191,21284010,15320478,10581718,6980653,4386116,2627521,1516944,860038,485532,273113,273112,485531,860036,1516940,267823847,6980587,6980624,6980623,10581675,15320416,21283826,15320320,15320319,10581708,10581598,6980573,6980572,10581551,6980546,6980545,255028097,15320327,10581607,6980579,4386067,4386066,6980577,10581604,15320297,10581589,254497291,4386059,6980569,255028101,268205365,15320287,21283783,21283776,16474546,11478589,7634493,4831236,4831235,7636629,9846149,14333151,255242782,34973591,26895927,26895928,26895709,254638982,14333875,11569549,7700834,4873820,2936880,254364489,7700824,11569535,16589826,20013174,255736499,254968797,9846778,14333880,20014069,26895716,26894543,20013194,14333159,9846155,9846154,14333157,268172673,9846171,14333180,20013221,14334030,14334029,14333173,255321239,20013229,14333190,14333181,14333182,14333654,9846869,6467323,6467324,9846872,14333991,9846914,254684567,4051771,2424904,2424906,1402805,267782559,2424980,4051853,2425042,1402743,798241,798242,1402746,2425048,4051961,267945879,4724976,2846881,2846882,4724977,7476317,8207037,8228175,5299226,5299225,267798625,1911395,3254274,3254214,3254216,4961033,3266752,3266753,5288959,267907537,8207719,5462583,5288934,3240518,1901311,1901310,254221912,3234622,1897449,1083041,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098294,1081485,1081486,1894897,3231129,3236264,2917348,267832465,4610040,4610039,5257175,3213475,3213476,5257500,8187950,254760719,254760717,5254075,5254074,8184478,5461480,254273439,1614949,1614950,1073844,1073843,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083400,1898117,2783976,2783977,3228840,5274618,8203490,12117730,15658460,10839649,10839650,15658462,21698116,17272640,12201873,12201872,11041467,7315863,4618148,4618146,7315860,11041461,15919189,12117567,8148580,8148581,10725133,15507919,12116352,12116353,15508320,15915407,11036723,7311101,4614575,4614574,7311078,8147304,11285416,7492298,7492297,11285415,15419358,10659013,10659012,15419356,21407376,28649779,37166700,47058022,47851834,40964775,40964776,268101882,59459451,59459450,59459446,48068625,38155910,38155911,48068627,59459448,59459447,72196993,85790752,99744459,85790749,85790750,99744461,99744465,85790754,85790753,99744464,113758751,127627481,128163060,114279324,100248584,86284902,86284903,86284907,100248591,92573853,92573852,106893064,100248588,100248589,114279329,128163062,141521154,154184588,262741285,186011653,193831703,185572086,176107649,165425421,165425422,176107650,184565768,174960745,164141265,152255202,152255203,164141266,174960747,184565772,175124874,175124875,184705319,193070361,200248827,206312341,200248844,193070372,184705335,262621160,152454007,139728458,126352401,126352400,139728457,152454005,152454002,139728453,126352398,112484682,98492712,98492711,112484679,261094103,152453998,262649377,164326946,152454003,262165429,175124882,184705329,184705313,175124871,164326941,164326942,175124873,184705317,193070358,200248822,200248837,200248838,200248818,200248814,193070348,184705321,184705320,193070363,200248832,263925068,201254198,201254199,207177548,212062097,215766327,219111901,221936446,224361505,221936444,219111897,215766323,215766324,215766335,211721177,211721176,215766333,215766340,211721182,262271448,193680462,185399104,185399105,193680464,272572800,193680466,200780358,261758284,193680444,193680434,185399077,185399078,193680435,189123770,186083810,176667427,176667426,176667424,166026594,166026595,158656380,146288042,133060537,133060536,130218224,116383580,116383581,130218225,143544045,156077438,167680920,178138719,187369983,195404922,195404915,187369975,187369974,195404913,202274768,201239547,194201544,185985032,185985033,176560746,165912135,154151108,141485542,128124202,128124203,257845456,98302325,84393769,70836787,58122391,58122392,46753863,36874641,28377817,21160446,15204149,15204148,21160445,15204151,15204150,21160450,256095128,41855568,32925645,25210395,25210394,25210390,18645861,13258220,9046311,5913086,5913087,9046313,13258225,18645869,254902204,41855576,52180304,59889691,48495713,38580979,30009094,22638236,16449605,16449604,22638234,30009091,38580975,48495709,59889684,72631839,74760994,254999304,40427314,40427315,50465071,59889686,72631794,72631791,59889614,269294802,86234613,100202938,114237386,128124195,141485533,147852316,147852315,134726830,120928679,120928680,130325043,120928685,106675848,92371810,78338970,65060138,65060137,65060139,78338971,92371811,102395325,116489567,116489572,102395327,88394861,88394862,102395329,116489574,130325051,143649081,143649080,130325048,130325050,143649082,156179304,147852314,134726829,120928678,106675844,92371807,92371806,259066157,78338959,78338957,65060127,53077769,42630271,33605355,33605354,42630270,33605367,25807585,25807584,31124463,23638530,23638529,19160070,13681677,254661887,254661885,13681676,268304927,33605346,25807572,25807573,256671053,53077756,65060120,53077757,42630261,268502433,19160068,19160067,25807573,33605347,42630259,41783543 Dl.O(d2) = 63539403,76618107,77419242,77419240,90476745,76618242,63538584,51759814,41489366,32609924,24945539,18431119,18431120,24945541,32609932,257160919,63538601,51760030,51760029,41490113,41490114,41490102,32610575,24946051,24946050,32610573,41490100,51760396,51760397,41490109,41490108,51759470,63538224,51759593,41489196,32609817,32609818,24945981,24945980,32610479,41489976,51760439,63539139,76618687,76618931,63539348,63539347,76618925,90477213,76618892,63539320,51760576,41490094,41490093,41489359,41489360,32609929,32609930,41489379,50204738,61687523,74470607,76618039,63538300,51759554,51759552,63538292,76618026,76618907,63539330,63539331,76618909,76618650,63539102,63539103,76618657,64188135,64188134,77335235,90477189,259252483,83947715,97807040,260232532,258989090,118820720,104640542,90476982,90476983,104640543,90477208,76618887,63539314,258362461,76618227,70790713,58073477,46701444,46701443,58073474,70790710,84349413,90476565,104640340,104640705,104640704,98687677,258680425,58470023,58470022,71191706,76618841,64188140,52337952,41998759,33055296,33055295,257187755,270292407,98687705,84760309,71191737,58470054,47092240,37196518,37196517,47092239,58470051,71191734,84760305,98687702,112682402,105477177,98256747,98256746,84760389,71191826,58470125,58470124,71191814,71191710,58470251,47092371,47092370,58470248,71191942,67637880,55299813,44455248,44455247,55299809,67637872,77555624,91486392,84760319,84760320,98256805,84760339,71191761,58470082,47092257,37196529,28674188,21426378,21426376,28674184,37196523,47092247,53723545,53723544,65780128,58470095,58470093,71191697,58470013,47092222,47092223,58470018,71191702,84349339,71191831,58470129,47092293,37196549,28674195,28674194,37196544,47092285,37196594,28674217,28674218,37196598,47092387,55299820,67637884,71191725,71191868,58470170,58470168,58470175,58470176,58073394,46701396,36818887,28323468,28323469,36818889,46701403,58073409,270282611,84760316,84760317,84349313,70790614,58073392,58073387,46701393,46701394,258025721,58073401,46701400,46701399,58073399,58470001,58470000,71191683,84760262,95081718,95162228,90476891,76618489,76618490,88441909,74809454,67697112,67697114,81022461,81022462,257789060,85092842,99018128,271038186,260275151,77555602,77555603,91486378,98256755,84349351,70790657,58073429,58073431,67697128,81162982,258057976,95219603,100029483,86065957,72467258,72467256,86065955,100029481,109473586,109473587,259309026,104640507,97711765,83852637,258682276,71216357,270292919,98713148,109473641,123665550,113006619,99018148,85092862,71520622,58791052,58791053,70327267,57636733,57636734,58494429,268614390,28693553,28693554,256867813,258057961,84785290,86065921,72467210,59731365,59731366,72467212,86065924,100029454,95219535,256867778,67697027,70327303,70327301,70327288,57636750,57636751,48347225,48347224,55357122,55357123,67697087,81162950,83852571,84785225,71216279,70327254,70327255,70876346,58162148,46794633,36916819,28418945,28418944,27980037,27980036,36439166,46292304,46292243,46292244,57636672,55357135,55357136,67697104,72341252,72341251,84785331,71216413,58494536,258057968,70327298,67697100,57636768,46292334,36439199,256806133,57636764,48347308,48347307,59606778,257384361,36439362,27980249,27980250,36439363,46292504,57636909,70327415,83852737,70377188,57685057,46337870,257387733,36481833,28020469,20853834,14953015,10286987,6762097,6762098,4273055,4273057,6812525,10286986,9065451,9065453,6786647,4254518,2543406,2543404,4254507,3817732,2287191,2287192,3817734,6101621,9140615,13288919,255247881,25252537,32975294,25252535,25252536,32975295,41915285,52253287,53077766,42630268,33605352,33605351,42630266,53077763,65060123,78338949,92371794,106675837,120928670,134726820,147852307,160106036,171331933,181360151,190168703,197773912,204253798,209659452,214094358,217735646,218794754,215407734,211308734,206292297,200224900,193039966,184666276,175076838,164272270,152397804,259961708,112436441,98446946,257483228,58244791,46877809,46877810,46877921,36999566,28502191,21284010,15320478,10581718,6980653,4386116,2627521,1516944,860038,485532,273113,273112,485531,860036,1516940,267823847,6980587,6980624,6980623,10581675,15320416,21283826,15320320,15320319,10581708,10581598,6980573,6980572,10581551,6980546,6980545,255028097,15320327,10581607,6980579,4386067,4386066,6980577,10581604,15320297,10581589,254497291,4386059,6980569,255028101,268205365,15320287,21283783,21283776,16474546,11478589,7634493,4831236,4831235,7636629,9846149,14333151,255242782,34973591,26895927,26895928,26895709,254638982,14333875,11569549,7700834,4873820,2936880,254364489,7700824,11569535,16589826,20013174,255736499,254968797,9846778,14333880,20014069,26895716,26894543,20013194,14333159,9846155,9846154,14333157,268172673,9846171,14333180,20013221,14334030,14334029,14333173,255321239,20013229,14333190,14333181,14333182,14333654,9846869,6467323,6467324,9846872,14333991,9846914,254684567,4051771,2424904,2424906,1402805,267782559,2424980,4051853,2425042,1402743,798241,798242,1402746,2425048,4051961,267945879,4724976,2846881,2846882,4724977,7476317,8207037,8228175,5299226,5299225,267798625,1911395,3254274,3254214,3254216,4961033,3266752,3266753,5288959,267907537,8207719,5462583,5288934,3240518,1901311,1901310,254221912,3234622,1897449,1083041,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098294,1081485,1081486,1894897,3231129,3236264,2917348,267832465,4610040,4610039,5257175,3213475,3213476,5257500,8187950,254760719,254760717,5254075,5254074,8184478,5461480,254273439,1614949,1614950,1073844,1073843,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083400,1898117,2783976,2783977,3228840,5274618,8203490,12117730,15658460,10839649,10839650,15658462,21698116,17272640,12201873,12201872,11041467,7315863,4618148,4618146,7315860,11041461,15919189,12117567,8148580,8148581,10725133,15507919,12116352,12116353,15508320,15915407,11036723,7311101,4614575,4614574,7311078,8147304,11285416,7492298,7492297,11285415,15419358,10659013,10659012,15419356,21407376,28649779,37166700,47058022,47851834,40964775,40964776,268101882,59459451,59459450,59459446,48068625,38155910,38155911,48068627,59459448,59459447,72196993,85790752,99744459,85790749,85790750,99744461,99744465,85790754,85790753,99744464,113758751,127627481,128163060,114279324,100248584,86284902,86284903,86284907,100248591,92573853,92573852,106893064,100248588,100248589,114279329,128163062,141521154,154184588,262741285,186011653,193831703,185572086,176107649,165425421,165425422,176107650,184565768,174960745,164141265,152255202,152255203,164141266,174960747,184565772,175124874,175124875,184705319,193070361,200248827,206312341,200248844,193070372,184705335,262621160,152454007,139728458,126352401,126352400,139728457,152454005,152454002,139728453,126352398,112484682,98492712,98492711,112484679,261094103,152453998,262649377,164326946,152454003,262165429,175124882,184705329,184705313,175124871,164326941,164326942,175124873,184705317,193070358,200248822,200248837,200248838,200248818,200248814,193070348,184705321,184705320,193070363,200248832,263925068,201254198,201254199,207177548,212062097,215766327,219111901,221936446,224361505,221936444,219111897,215766323,215766324,215766335,211721177,211721176,215766333,215766340,211721182,262271448,193680462,185399104,185399105,193680464,272572800,193680466,200780358,261758284,193680444,193680434,185399077,185399078,193680435,189123770,186083810,176667427,176667426,176667424,166026594,166026595,158656380,146288042,133060537,133060536,130218224,116383580,116383581,130218225,143544045,156077438,167680920,178138719,187369983,195404922,195404915,187369975,187369974,195404913,202274768,201239547,194201544,185985032,185985033,176560746,165912135,154151108,141485542,128124202,128124203,257845456,98302325,84393769,70836787,58122391,58122392,46753863,36874641,28377817,21160446,15204149,15204148,21160445,15204151,15204150,21160450,256095128,41855568,32925645,25210395,25210394,25210390,18645861,13258220,9046311,5913086,5913087,9046313,13258225,18645869,254902204,41855576,52180304,59889691,48495713,38580979,30009094,22638236,16449605,16449604,22638234,30009091,38580975,48495709,59889684,72631839,74760994,254999304,40427314,40427315,50465071,59889686,72631794,72631791,59889614,269294802,86234613,100202938,114237386,128124195,141485533,147852316,147852315,134726830,120928679,120928680,130325043,120928685,106675848,92371810,78338970,65060138,65060137,65060139,78338971,92371811,102395325,116489567,116489572,102395327,88394861,88394862,102395329,116489574,130325051,143649081,143649080,130325048,130325050,143649082,156179304,147852314,134726829,120928678,106675844,92371807,92371806,259066157,78338959,78338957,65060127,53077769,42630271,33605355,33605354,42630270,33605367,25807585,25807584,31124463,23638530,23638529,19160070,13681677,254661887,254661885,13681676,268304927,33605346,25807572,25807573,256671053,53077756,65060120,53077757,42630261,268502433,19160068,19160067,25807573,33605347,42630259,41783543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9361010, s2 = 14164611, dlinesl.size( ) = 2 s1 = 9361010, s2 = 14164611, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9361010, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 6910137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6910137, s2 = 10339811, int(edited[s2]) = 0 s1 = 6910137, s2 = 10339811, d1 = 75, d2 = 80 Dl.O(d1) = 259991592 Dl.O(d2) = 267974213 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8497301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7886294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6751879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6751879, s2 = 10197397, int(edited[s2]) = 0 s1 = 6751879, s2 = 10197397, d1 = 14, d2 = 22 Dl.O(d1) = 258082200 Dl.O(d2) = 258275446,64800190,52880871,256664081,25709641,19082495,13623933,13623934,19082497,256147557,42476962,257811651,77994453,73359893,73359889,60615094,49214383,39287743,30690548,23275666,23275665,30690545,39287740,49214379,60615089,73359885,71482369,71482370,73359880,77238446,64094163,52247029,41910053,32970634,32970635,41910055,52247032,64094167,77238450,91153980,259010087,77238448,91153979,259916436,257444862,256324924,255031161,21341929,255340418,46952410,257328952,98524192,112519056,269651650,84661299,98584742,87571334,73973114,270374919,260096305,259416955,72799402,60060648,60060647,72799400,86395551,100352672,114376827,128253846,141604772,272872985,263180735,176655904,186072627,178760769,168455495,168455496,177515792,166999599,155347070,142755585,261811461,155080169,149417571,136167791,136167792,140986133,260677000,117985369,260078138,136167795,122205144,117589732,265266773 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13666399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13666399, s2 = 8610367, int(edited[s2]) = 0 s1 = 13666399, s2 = 8610367, d1 = 13, d2 = 6 Dl.O(d1) = 254625699,12848685,18120280,256068093,257129181,256307434,12462014,8430925,5442736,5442735,8430923,267961124,10007919,10007918,14545524,20272929,27199724,255817860,40176349,31490905,255388604,268068302,12462009,254724320,23983774,31480702,40165568,50189932,61673950,74457235,88069525,74457224,260133415,130022454,271297896,102054998,88069527,88069528,102055000,258659314,88069526,259286022,101109324,87111218,87111219,259464351,87111220,87111216,87111217,260080979,101109327,87111221,258897588,258274892,269000148,39410707,49340267,60743448,270359793,87111223,73492514,61705788,50223992,40201663,269000137,61705790,73492512,257665975,50223999,61705795,74488800,270879400,50223998,257665973,258897551,102088087,116145791,116157611,102100589,102100590,116145787,130054748,140995194,130054756,116145793,116145792,130054754,143385790,155926821,262065644,262065642,167539224,260968676,140995197,127647224,127647223,140995195,140995198,127647226,113779273,99765246,85811322,259993111,127647227,260516354,59480148,258126739,85811329,74457259,74457260,88069562,99765247,85811324,85811323,88069567,74457263,61673972,61673971,260730291,113779274,99765255,85811333,85811332,259286034,102055031,116112763,261086224,259905352,259905350,114518508,100494755,100494754,114518506,260045505,271356675,260645591,100494747,260045507,100494745,258804903,60198806,48802051,48802048,38879855,30293994,22895526,22895527,30293996,38879858,48802053,60198810,72937887,60198805,60198804,72937885,86536070,100494753,86536069,72937883,270344059,260045509,128392553,141737865,154385331,262090944,261221369,154385329 Dl.O(d2) = 99020095,261675019,126860575,261125035,152898063,164729467,261675015,140207616,126860580,113008315,99020092,99020093,260547335,261675017,164729475,175482947,185022832,263870411,200502521,263511744,263511747,264191709,211528980,215605697,218974998,218975007,218975006,221818541,224257735,223399914,220817989,217785715,214153264,214153263,214969326,210764189,210764188,214153268,209729530,204335428,204335427,209729528,214153266,264430185,199391852,192035863,192035864,263444495,173704695,262096977,137590141,137590142,148020116,137590136,260416347,95571965,95571964,109772093,109772091,109772090,109772097,95571968,81541550,68054752,68054753,270556547,78487975,92528005,106839600,121099154,106839607,259074243,65203214,55657953,44749729,35323552,27199714,27199713,35323551,257328939,68054747,270674801,109772081,95571956,95571955,260416341,137590109,137590126,137590125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13666399, s2 = 8610367, dlinesl.size( ) = 2 s1 = 13666399, s2 = 8610367, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13666399, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 9390470, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7258794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7258794, s2 = 10348250, int(edited[s2]) = 0 s1 = 7258794, s2 = 10348250, d1 = 35, d2 = 56 Dl.O(d1) = 264664388 Dl.O(d2) = 255084124,13961930,9586234,6292478,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520726,9921355,9550385,9550383,10615623,7005297,4403359,2639349,2639350,3924638,3924637,6268234,6268230,7056342,10682028,8906058,8906057,13069682,13369643,9137448,9137446,9552798,9552800,6268181,3924600,3924598,6268172,9552817,13799413,19300110,25966174,32636415,24966590,24966591,20106217,14416207,9914861,9914859,14416205,10673733,254757504,12870690,11004437,11004438,15875561,20106993,254757510,11005098,7285191,7285192,255066181,18123366,12850855,8738857,5979252,5970468,3733723,3733724,5970445,5970446,9124059,6516370,4083020,4083017,6516363,9915655,11003004,7283702,4593340,4593341,4593315,4593314,7283666,11002963,13369512,9137357,5979362,3739064,3739063,5979358,9137352,13369506,14416762,255657547,13369477,9137330,9137329,13369473,18773457,24473152,18769946,13366378,10963179,7256900,7256902,10963183,15819498,13713631,9392851,9392849,13713628,19201548,15873173,11002028,7283012,4592919,2763224,2763223,4592914,7283000,9997207,9997206,9935569,6530094,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124575,13352433,13713410,9392624,6153309,6153308,9392622,13713408,256157499,257232309,259069917,272911617,260612586 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8076175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8076175, s2 = 14120820, int(edited[s2]) = 0 s1 = 8076175, s2 = 14120820, d1 = 0, d2 = 0 Dl.O(d1) = 38200668,38200670,29633837,29633838,38200671,48111883,59499984,72235419,85827795,99781108,113795214,127663474,141011852,153678096,165457361,176137077,185599158,193856242,200934935,206906894,211840287,215870409,219203865,222017505,224433457,226531863,228360240,229965423,231389893,232666643,233820360,234869952,235826178,236696747,237489925,237592595,236809052,235947588,235002037 Dl.O(d2) = 38200668,38200670,29633837,29633838,38200671,48111883,59499984,72235419,85827795,99781108,113795214,127663474,141011852,153678096,165457361,176137077,185599158,193856242,200934935,206906894,211840287,215870409,219203865,222017505,224433457,226531863,228360240,229965423,231389893,232666643,233820360,234869952,235826178,236696747,237489925,237592595,236809052,235947588,235002037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8076175, s2 = 14120820, dlinesl.size( ) = 2 s1 = 8076175, s2 = 14120820, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8076175, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3168518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7900534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7900534, s2 = 6718224, int(edited[s2]) = 0 s1 = 7900534, s2 = 6718224, d1 = 76, d2 = 45 Dl.O(d1) = 267768757,572285,572286,325164,324874,324873,580931,1030195,580513,324644,324645,580166,324456,324457,580172,1029623,1572431,1572433,1806615,2714256,1572558,894101,894100,1572551,1572193,893889,504308,282781,282780,504297,893858,1019512,574481,574479,1019502,1782442,1016478,572961,320878,320877,572955,1016469,1782423,1788008,1782539,1782538,1799178,1026590,1026591,1791010,1021431,1021433,1025212,1796729,3078998,3076369,1805557,1031062,1031059,1779880,1014876,572059,572055,1014867,254252385,1782866,1016805,1016804,1783001,3058778,3092848,3092847,5044637,5044638,7933972,5047674,3057787,1782328,1782327,3057786,5047673,3079715,3079716,5077683,5089343,5089344,7994895,7932893,267795942,3090702,1805396,1805397,3090705,5067416,5067419,3080232,1797659,1797662,3080243,1802596,1802594,3070581,3070582,3072222,3090867,3086996,1802555,1802558,3057374,1782023,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799492,1799491,3065991,2580362,2580361,3058290,3077248,1795487,1795485,3060970,5052379,7171671,7171670,5094676,5094675,7950114,5056208,5056206,3078563,1796340,1796342,3063352,3069247,3065846,3065845,3092506,5094857,5088144,3091172,3091171,5093350,8000795,11912299,16998095,23261106,254130772,7979010,7979011,254103470,5085038,3084696,3084698,3072238,3072235,5068449,7956165,5060478,5060480,7956175,7932778,5077450,5043418,5043415,7932800,11868720,16956513,11901069,11901068,16986466,23249844,30665521,39261032,39261031,48031582,38118352,38118351,48031581,55301229,55301228,49360088,39430515,30826399,30826398,39312759,30714761,23297804,17037779,254103874,5093024,5093029,7942714,6000381,6000383,9167832,13409341,18822128,17013395,11928086,7981548,5079778,3081045,1798127,1798126,3081042,5079772,7981539,11928062,16728213,11925910,7979823,7979824,11925913,7979852,7979853,6000739,3752745,3752743,6000733,9168318,11886288,16973717,11930660,7983838,5081280,5081278,5057065,5057062,7951198,11891492,15816460,16972984,11909257,11898509,7957016,5061016,5061015,7957010,11898497,7976022,7976023,11900237,7958555,5080780,5080784,5164631,3147191,3147190,3147381,5164927,5165255,3147595,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067576,7965361,11292257,11292258,16242526,16991414,11906091,11906092,11940776,7991743,5086764,3086061,1801794,1801793,3086058,5086756,7991725,255141835,23285193,30701105,39298761,49225888,60627162,73372895,68111169,68111167,68111168,81600039,74232750,61453607,61453606,74232752,259378629,113818136,127685409,115857209,260713437,129756352,142281138,261473350,113818134,99804773,85852812,85852811,99804772,85852814,72261741,59527989,48140914,256399131,15369491,10619805,10619806,7008519,4405736,2640989,1525677,1525678,2640991,4405739,7008522,10619816,15369507,21344286,28572344,37075443,34639294,255652664,19834229,26647763,34639293,43912714,46955541,46955542,50438102,40404111,31712068,24204428,17834795,17834796,24204430,31712072,37075402,28572303,21344254,21344255,24600823,21344265,15369493,254731079,267962935,15369494,255827925,31657486,24147279,21344257,21344256,28572304 Dl.O(d2) = 257669140,72440830,59704563,59704562,52633984,42248748,256538760,64532825,72440680,72440679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7900534, s2 = 6718224, dlinesl.size( ) = 18 s1 = 8131345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 872847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 872847, s2 = 13265592, int(edited[s2]) = 0 s1 = 872847, s2 = 13265592, d1 = 65, d2 = 61 Dl.O(d1) = 22324600,22324599,29675562,38240371,258131455 Dl.O(d2) = 19702805,20011598,14331952,267945857,6466269,9845375,14331967,16171891,16171894,22317074,17712231,17712233,17739868,16171586,11239120,11239121,10986173,10986172,15851826,16171581,22316714,23769537,19781879,19781877,19704659,19704658,21794852,15735765,15735762,15735115,10897877,10897874,10435926,7208485,7208483,10899205,10899187,10436311,6880043,6880044,10436315,15131426,15131444,20310232,20310229,27240911,35364207,44788458,37641768,29091162,21792999,15734327,10897380,10897379,254401134,29091159,37641764,37643327,36763148,28267464,21066540,21066539,28269036,21797364,15737902,15737901,15131796,10436521,6880155,6880157,268066355,10899360,10899359,15130894,10436018,10436017,15130892,21064845,20309935,254587988,6591301,4129379,4129380,4318804,4318803,6880197,4318718,4318715,6880188,10436582,14169104,14169106,15075456,11657275,11657274,11275040,11275039,15131071,15129025,15129029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 872847, s2 = 13265592, dlinesl.size( ) = 8 s1 = 9466080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466080, s2 = 4755186, int(edited[s2]) = 0 s1 = 9466080, s2 = 4755186, d1 = 11, d2 = 13 Dl.O(d1) = 46840994,46840995,55471743,51613854,47736641,37814440,31260945,31260944,39936130,46420285,37814437,29249468,21928929,21928930,21928989,21928990,29249540,37814521,258100145,85457804,99398609,113399559,260512996,142159990,128805421,114908342,100857739,86877085,86877086,73265028,257592781,39190209,30592847,23174152,16910016,16910014,255966549,38615319,30041430,30041429,30041141,22665948,16470913,16470914,22665951,22666180,16471075,16471076,11476212,11476214,16471082,22666185,29513320,29513318,30041958,31727103,24220496,24220495,31727101,31536950,31536951,40223250,34061810,34061809,40418859,31727114,24220507,17850140,12641322,12641320,17850135,24220498,29512768,29512767,256344214,40108535,40108536,48780624,256879083,28848879,21577259,15554150,10758171,10758169,15554148,21577254,18488716,18488717,21028805,21028806,24770700,18291802,18291803,24770701,32393234,41216205,51412480,63108951,76114398,89920346,104049796,118209013,118209011,118209010,127995011,114108270,100076001,86109608,72510515,59776358,48393456,38490534,29929976,254419030,254419028,10411440,10411441,15095857,16579802,22796579,24133448,24133449,23747653,17422201,12279629,12279628,17422214,12574771,8542219,5539908,3425085,3425084,5539903,5539899,5539900,8542208,12590709,12232636,12232635,17362713,23682941,17788939,12590828,8542281,5539941,5539942,8542285,12590835,17789115,24156181,31665696,40313657,31625232,31170643,31170644,31170654,33695683,31677378,24168746,17801179,12601188,12601187,12601252,12237036,8262909,5331049,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12614349,17743368,20014697,254865242,24156017,23153842,16892617,11820908,7899134,7899133,11820906,16892613,17386918,12252193,12252192,17386916,23710471,24153223,17786020,17786021,24153226,31663814,31677878,31677877,40332689,43412762,40279311,31595045,24091574,17733891,12547196,12547197,17733893,24091579,31169677,25545241,25545226,18932323,13496961,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,8511334,12553476,12561284,12554142,8511765,8511766,12554145,17742832,24085090,17727788,12542246,12542245,17727784,24085085,31231958,31231957,31232854,31223633,23740397,17416165,17416164,17785889,24153112,22667089,17739676,12551792,12551791,17739672 Dl.O(d2) = 11506323,10289609,10289607,14956258,10746752,7100189,4470423,4470421,7100167,10746699,254279474,28830691,33169323,25426810,18833336,13418412,13418413,18833338,25426813,24149480,17782510,12585289,8537647,5535602,3421048,2020437,2020438,3421055,5535614,254418882,17782553,14210835,9769329,9769331,13180005,13180007,17768251,12574003,8527958,8527956,12573994,8527971,8527973,6423155,6423156,9769185,14210577,17703950,17703951,17801976,16888746,254275990,9717913,9717912,14125280,19700337,26439715,31198310,31198311,24083282,24083281,254607116,17745988,23748165,17422730,12279988,8293318,8293317,12279985,17422726,22825740,17817695,17817698,24138903,21034037,15107867,10420330,10420329,15107863,12251996,11744451,9944776,9944773,14453562,9943917,6535629,4094942,4094943,6535634,9943931,12541171,12541172,12549378,12549380,17736509,24094628,25339602,20148412,16606056,11581629,9943663,6535499,5493238,5493239,8492529,12531465,17714791,24071037,27043739,20192974,14488568,14488569,12540759,8501454,5502839,3392250,3392252,5502845,8501465,12540781,17725687,16469195,16469196,22663989,16470061,14456233,9945537,9945536,7632694,7632695,9945406,9945405,14456007,17763956,21034110,15107927,10420357,6869459,6869458,10420349,15107916,16605833,11581479,11581477,16605825,22826775,27044999,25370812,18786599,13380889,9146273,5985363,5985361,9146265,7632505,4828787,2909843,254361435,7632502,11475183,16469566,22664405,29095479,31685834,35129095,267895986,20152363,14456457,14456456,20149580,14454266,9944348,9944350,14454268,9944450,9944448,14454454,20149822,22313430,16167913,16167910,17799231,17799229,17799137,17799135,17799209,17647875,12475487,8445500,8445499,10421440,10421439,15109087,20148588,14453513,14453512,17896949,12677251,11475481,11475482,10757516,10757513,15553533,21576742,19705146,14128892,14128893,19705135,19704795,14128611,9720001,6394192,6394189,9719989,14128582,11743775,11743776,9945420,9945422,9944281,9944285,14454150,14454203,255204016,35128973,39439666,31675853,24166463,19705117,14128879,14128880,19705119,22664692,16469833,11475360,268091231,16185114,11250442,7468208,4719579,267891265,255088121,16185120,22331573,29683194,38248152,48157357,59544236,72278404,85869825,259997779,127706048,141055377,153721705,165500142,176178452,185638996,193892996,200967289,206933628,211862779,213932333,209469071,264163580,197510417,189853800,180974505,262147258,147166118,133943645,120101798,105890380,91683462,77756554,64573997,52673864,42287630,42287631,52673865,59532630,72266753,259997017,127696312,141046071,153713251,165492104,176170764,185631599,193886127,200961041,206928441,211858568,215887026,219219286,222031480,222031476,222031475,224445963,224445964,222031478,222031470,219219279,219219280,222031473,224445961,224445960,226543273,228370806,229975383,231399077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466080, s2 = 4755186, dlinesl.size( ) = 2 s1 = 9466080, s2 = 4755186, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9466080, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 13505797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8613139, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9479026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3171776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2875090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6589861, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9662218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13247835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3172547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3172547, s2 = 13246143, int(edited[s2]) = 0 s1 = 3172547, s2 = 13246143, d1 = 4, d2 = 6 Dl.O(d1) = 99879231 Dl.O(d2) = 268736247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3172547, s2 = 13246143, dlinesl.size( ) = 2 s1 = 3172547, s2 = 13246143, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3172547, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 3134676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2875960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7923616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4757055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1986256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9461882, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3175142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3175142, s2 = 14588352, int(edited[s2]) = 0 s1 = 3175142, s2 = 14588352, d1 = 17, d2 = 8 Dl.O(d1) = 99957628,95595068,259805927,123932878,137610911,123932877,259805925,81561650,68071713,257329645,269204177,68071715,55672742,44763375,44763374 Dl.O(d2) = 255912169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3175142, s2 = 14588352, dlinesl.size( ) = 12 s1 = 2556537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2556537, s2 = 16237174, int(edited[s2]) = 0 s1 = 2556537, s2 = 16237174, d1 = 51, d2 = 72 Dl.O(d1) = 72404743,86000930 Dl.O(d2) = 197813385,204287184,209688317,214119817,217758313,220794991,223380419,225615224,227558680,264953884,224054143,221593817,218728018,215330308,263084680,200100109,192888529,184488995,174878178,164061008,152183785,139460237,126090171,126090170,139460235,139460242,126090173,112235306,98257355,84349967,70791216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2556537, s2 = 16237174, dlinesl.size( ) = 2 s1 = 2556537, s2 = 16237174, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2556537, Dl.E( ) = 76, 2.19e-05 seconds used appending s1 = 3175356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6911699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6911699, s2 = 12267895, int(edited[s2]) = 0 s1 = 6911699, s2 = 12267895, d1 = 21, d2 = 5 Dl.O(d1) = 260008443 Dl.O(d2) = 58778215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 13582541, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13554743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8131825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8131825, s2 = 2059267, int(edited[s2]) = 0 s1 = 8131825, s2 = 2059267, d1 = 20, d2 = 13 Dl.O(d1) = 93002750,81166567,73461420,60713433,60713434,73461423,70570820,57868791,57868790,67191425,55673587,55673586,67191429,67191430,259145617,55418084,268829935,255752301,14498003,9975836,9975837,9975697,6556423,4107391,4107390,6556419,9975688,14497846,20204588,14498349,14498348,20205110,268551423,38669180,30092037,256973885,36644741,28169365,28169364,36644739,43046988,33988293,255949858,13917974,19449280,268517307,43046995,43046997,53526680,258462179,70570811,61944371,61944370,57868765,57868766,48190924,38392505,38392504,48302730,59105363,59105364,48302729,268639513,22452872,22452871,29820217,38392502,48302727,59689342,59689382,59689318,48302709,48302708,59577224,48190920,48190921,59577226,72311886,85905549,86021720 Dl.O(d2) = 53709947,257413766,38174174,29607255,22256929,255015590,7428641,4694093,4694092,7428639,11195861,16117711,16117788,16117790,22257042,29607367,38174299,48086627,59476752,256834538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8131825, s2 = 2059267, dlinesl.size( ) = 22 s1 = 2879993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9512652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6758565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6758565, s2 = 6669774, int(edited[s2]) = 0 s1 = 6758565, s2 = 6669774, d1 = 12, d2 = 15 Dl.O(d1) = 258143881,86029102,99990706 Dl.O(d2) = 76141024,63135010,257149011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6758565, s2 = 6669774, dlinesl.size( ) = 2 s1 = 6758565, s2 = 6669774, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6758565, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 14676783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7981127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2881023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1592182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6776884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6776884, s2 = 14297742, int(edited[s2]) = 0 s1 = 6776884, s2 = 14297742, d1 = 8, d2 = 8 Dl.O(d1) = 3569938,3569935,5733373,8801666,268277851,11535609,16550348,15888344,11014050,7291202,7291206,11014067,15888377,268039612,17297820,268163328,256186092,40458539,34167755,26299780,19576732,19576733,26299784,34167762,43258053,38957418,30371296,30371295,37897170,29328626,29328625,32601723,32601724,41479468,42293996,38816529,30233249,22840557,22840558,22454925,22454927,19301159,254955892,6205103,3883837,2325666,2325665,2381172,3974212,6335591,9637924,14020751,19572253,26294385,34162194,34629503,34192766,34192765,43290014,39700987,31023949,23542637,23542636,26102660,19412390,13888314,9529763,9529764,13888316,19412371,13888303,13888302,19412367,26102632,33936646,42990949,53466074,53466137,42990997,33936688,33936689,34162020,43252502,53768741,65829292,66902395,61841256,53466087,53466086,65486827,78817226,270863935,78817281,78817282,92923367,78817263,65486862,269574554,257841389,53466125,65486873,78817275,86567768,73976258,73976259,87574427,101532179,92923369,92923370,92923343,259718945,121708342,135651827,121708356,121708355,135651833,129131410,115199929,114559664,114559665,100528907,258180264,72969651,86567781,86567780,100528898,86567782,72969645,72969646,77737323,64555015,52655413,42269510,42269511,257796939,77737325,257505338,47906138,37990072,37990071,47906135,59301116,60667629,60232568,60232567,72969648,259039653,259039651,73414815,87032282,91665110,99576264,101028592,107751054,271797570,260674841,272056117,93322694,93322695,107751046,107751047,113592595,113592607,99576297,99576298,99576282,99576281,99576299,259982208,99576275,93322677,79191523,79191522,93322676,94741006,85625850,85625851,93322703,94741008,94741009,109021583,259982204,99576283,85625890,72037508,72037509,85625893,99576287,113592598,127468194,127468191,113592596,99576277,85625882,72037499,258736817,90471155,76612633,63532649,257505342,258113365,85625886,85625887,85625768,72037366,59301034,59301036,70322060,256017140,46286574,37990024,29428195,29428196,37990026,47906077,41483504,37990021,29428192,29428190,37990017,29428206,22097137,15988519,15988517,255885669,37990028,47906081,38670094,30092929,22711298,16507197,16507196,22711296,30092925,25525121,18915823,18332399,18332398,24069604,24069605,31575210,31575197,31575199,40262338,31575192,24069592,17713567,12530442,8491510,8491511,12530444,17713571,24069600,31575206,255412236,19784877,19784878,256197391,43848934,50283322,54593516,43848886,34577002,26589773,26589774,26589816,19784891,19784858,14171394,9742471,6406242,6406241,6406258,4019131,2408348,1393574,267749983,252566,252565,448821,792512,267782297,4019127,6406248,6406234,4019117,2408342,2408341,4019115,6406231,254962121,19784833,26589730,34576992,43848879,54593513,66852600,80282412,94338592,80282395,80282394,94338590,94338598,80282409,66852598,66852597,59202575,59202574,71941688,71941674,71941675,85529622,99476171,113486832,259354851,85529609,259973021,85529614,258105905,59202572,47803041,37879370,29310493,21982689,255066775,7290410,7290409,11012920,15886937,21982684,29310575,29310561,29310560,37879433,47803048,37879374,29310495,21982598,15886875,15886876,21982577,21982576,29310465,37879327,47802986,59202515,71941622,85529583,99476134,94338683,80282500,66852704,54593636,43848995,34577113,34577115,43848997,43849013,43849012,54593653,258501931,54593657,257284293,43848994,34577112,26589884,26589885,34577146,43849036,257882635,43849038,34577148,26589886,26589887,34577149,257284303,258501935,94338758,108625804,260374671,94338761,108625872,108625880,108625879,122889955,122889882,108625816,108625817,122889885,136721481,136721505,260374673,108625828,122889905,136721504,149863667,262558655,162077495,162077494,173179709,183033735,191646538,273823983,205317884,264319500,214742537,210504658,205317869,205317870,264674173,218230546,264450498,205317886,205317885,264450497,215235106,264674175,205317881,264410265,205317883,205317882,210504666,207364251,201470987,194469635,263936277,194469650,186296309,176920885,166322408,154602303,141958423,128597470,114700854,270292126,73078964,86683261,100655754,100655759,105344129,91123153,91123152,105344127,114700859,114700860,105344116,91123143,260252915,133444519,133444572,133444571,146693563,141958428,141958427,146693546,133444520,261754153,128201432,114318680,100288369,100288368,271817279,91123181,77206364,64065424,52224121,41892706,41892707,41892688,257178265,41892693,269492189,258624444,48599483,48599484,258164497,86326230,91123203,91123164,77206345,77206346,91123165,100288363,86326227,86326222,72728627,72728626,86326220,86326241,86326235,270272788,114318685,128201435,141557921,154219282,154219276,150330540,137288896,123556714,123556715,123556718,258775530,109365317,258334448,87621364,87621365,101588515,115628896,129513850,142830769,155411831,150330537,150330534,260018588,260018586,137288890,271812674,114150910,100117293,100117294,109365304,95111193,81053774,67586241,55244602,44396506,35021082,255481114,55244599,67586236,257542658,109365310,115628893,129513844,142830763,137288892,123556706,123556697,109365306,95111177,81053750,257542650,81053748,81053749,67586232,67586233,257542656,95111185,81053772,67586237,55244600,256419326,81053770,95111190,109365315,109365307,257542652,67586215,55244589,55244588,67586212,67586220,81053757,81053777,95111196,109365324,259400734,67755892,55415677,257918685,81222087,88367874,74738899,74738900,88367876,102364837,102364825,88367855,88367841,74738860,61944300,50452828,50452827,61944297,74738856,88367833,91476987,91476986,91476988,105701604,105668202,105668201,119904197,258913798,116458151,116458162,130295575,143623695,260272838,156249845,147021158,143542645,130216634,258908462,143542642,259532964,143542646,143542684,143542698,261121422,102292135,259323838,86052145,72453568,72453569,86052147,258697316,116381759,116381758,112956125,98966645,98966646,112956126,115919446,101872291,87897997,258260107,258260105,74294468,87898025,87897979,74294443,61516793,50037913,50037914,61516797,74294452,87897993,101872287,271860335,101872299,101872302,115919451,118406459,112824184,98833321,98833319,106729417,92423669,78386460,65102808,258440009,78386454,65102805,53116026,42663968,33634497,33634498,42663969,53116028,65102776,258439999,65102783,78386426,92423633,101872249,101872260,87897967,74294432,74294433,71335464,71335463,84907543,98833330,112824196,261114177,260971528,85771925,85771926,92423652,78386442,78386441,259697251,78386485,257822847,53116046,65102791,78386440,92423650,260121613,122930471,108666108,94378763,94378762,108666100,94378757,80323618,66895929,66895923,66895922,80323615,94378769,106729435,106729436,120981959,271145001,66895931,54638691,258504853,54638677,43895831,43895830,54638675,259133813,108666111,116209349,102148317,88157760,74543175,74543174,80323611,66895916,257287341,34624019,26634667,255314717,255314719,256200565,257790295,59439036,59439035,72177558,270633411,80323627,66895937,269173503,34624038,26634687,255314725,254681573,6417795,9761085,14199627,19823025,26634674,29566925,38132795,48046068,44375059,34996796,26915348,26915350,34996434,34996435,44374610,49030397,49030402,60434152,62524864,75446988,71992860,71992861,85579362,72177643,59439169,59439168,71992772,60254292,55225373,55225372,58323482,46956359,46956360,58323483,60258471,67568354,67568353,256997444,34996654,26915271,26915275,34996662,44374885,44375000,34996746,26915324,20030870,20030869,26915322,34996738,31571921,24066268,24066269,30359452,30359453,38945641,48865400,60258495,55225821,44375071,44375070,55225817,55225420,257903411,44374645,34996459,26915118,20030726,14347713,9857849,6475456,6475455,254685271,2428828,2428827,254468399,254969907,20030740,23230732,22957526,22957528,30359082,26915906,20031547,20031546,23333578,17067158,11977250,8024197,7794246,7358503,4648213,2799859,2799860,4648216,7358509,11095394,15982442,22088924,29419355,30661521,30661520,257017291,48872811,38953066,256472636,38953179,47158081,58546363,49176247,39251172,30790785,23364822,23364821,26377623,30765937,30765936,39367548,48214101,38303942,29735954,22378097,22378096,29735950,38303934,48214093,53879611,47967179,38053933,38053934,47967181,44373909,44373910,255971246,40517757,40517758,50553990,46977872,46977873,43354871,268661376,19643943,19643944,19643931,19643930,26377607,28159735,256824895,268602733,10391728,10391727,15068329,20980263,28159709,26914313,20029878,20029879,20029884,26914325,34995695,36634364,28159701,28159702,36634367,46501491,269144941,34254739,26377420,256187329,26377402,34253721,26376480,19643011,14079010,14079009,19643009,24467834,24467835,19643784,14079587,9684202,6369870,6369869,9684199,14079581,19643777,256187323,34253762,26377189,19643602,19643603,23329575,30751853,34253763,34253764,43353728,34254528,29200462,21887993,21887994,29200464,37761874,43354447,34254500,26377191,19643605,19643606,268526679,34254723,43353620,34255096,26377749,256187361,34254709,34254708,43353699,43354627,34254712,34254711,34253797,26376556,26376555,255508576,36782508,28285746,21079833,21079832,26376522,19643040,14079030,14079031,19643041,26376525,34253765,43353732,34254497,34254498,43354446,53879296,258479615,269144947,34255094,26377747,26377746,34255092,43355002,43353755,43353754,47366474,47366473,58752341,57739037,57739036,57609823,46265539,36412977,27954894,20793544,14901361,10245679,10245678,10244514,10244516,14898880,20787964,20787967,27943399,36391065,35543490,35543492,34552167,34552171,26816842,19953570,19953574,19955008,14289170,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041373,2421217,2421214,4041394,6443984,9804462,14266620,19918386,26765115,254992598,54952810,60584491,49184504,49184503,48407443,48407444,42463512,42463511,48876433,39945874,38956898,31271007,23785531,17454789,12304709,12304710,17454792,23785536,31271022,39945784,39945785,46298606,36445192,36445191,39246048,30650358,23228724,23228723,30650357,39246046,49171144,60570095,73312998,73373195,86985798,100971605,115027507,126162324,112301534,98318344,84408365,70850752,270801405,112301536,261081891,151983080,139276038,125926548,112092307,112092308,125926534,125926533,139276029,262142935,261125494,120992462,106739814,260907757,147907267,261621907,125926528,125926529,139276028,139276016,139276015,134788854,120992447,106739803,92434260,92434261,106739804,98132256,271292263,84237406,84237407,98132288,112092306,271109097,79135883,93251165,107653894,122028201,135955340,149179048,262772217,166515735,172632861,174670047,174670048,174670056,172632867,163852206,151983096,139276045,139276044,151983084,261069367,259888171,84237412,70684568,70684569,84237414,98132297,112092317,125926558,139276050,151983101,139276096,261069377,112092321,112092322,125926561,125926560,139276053,139276058,125926573,112092331,112092330,125926571,261621917,139276069,125926615,112092370,98132334,84237433,258017787,46589925,46589923 Dl.O(d2) = 3569938,3569935,5733373,8801666,268277851,11535609,16550348,15888344,11014050,7291202,7291206,11014067,15888377,268039612,17297820,268163328,256186092,40458539,34167755,26299780,19576732,19576733,26299784,34167762,43258053,38957418,30371296,30371295,37897170,29328626,29328625,32601723,32601724,41479468,42293996,38816529,30233249,22840557,22840558,22454925,22454927,19301159,254955892,6205103,3883837,2325666,2325665,2381172,3974212,6335591,9637924,14020751,19572253,26294385,34162194,34629503,34192766,34192765,43290014,39700987,31023949,23542637,23542636,26102660,19412390,13888314,9529763,9529764,13888316,19412371,13888303,13888302,19412367,26102632,33936646,42990949,53466074,53466137,42990997,33936688,33936689,34162020,43252502,53768741,65829292,66902395,61841256,53466087,53466086,65486827,78817226,270863935,78817281,78817282,92923367,78817263,65486862,269574554,257841389,53466125,65486873,78817275,86567768,73976258,73976259,87574427,101532179,92923369,92923370,92923343,259718945,121708342,135651827,121708356,121708355,135651833,129131410,115199929,114559664,114559665,100528907,258180264,72969651,86567781,86567780,100528898,86567782,72969645,72969646,77737323,64555015,52655413,42269510,42269511,257796939,77737325,257505338,47906138,37990072,37990071,47906135,59301116,60667629,60232568,60232567,72969648,259039653,259039651,73414815,87032282,91665110,99576264,101028592,107751054,271797570,260674841,272056117,93322694,93322695,107751046,107751047,113592595,113592607,99576297,99576298,99576282,99576281,99576299,259982208,99576275,93322677,79191523,79191522,93322676,94741006,85625850,85625851,93322703,94741008,94741009,109021583,259982204,99576283,85625890,72037508,72037509,85625893,99576287,113592598,127468194,127468191,113592596,99576277,85625882,72037499,258736817,90471155,76612633,63532649,257505342,258113365,85625886,85625887,85625768,72037366,59301034,59301036,70322060,256017140,46286574,37990024,29428195,29428196,37990026,47906077,41483504,37990021,29428192,29428190,37990017,29428206,22097137,15988519,15988517,255885669,37990028,47906081,38670094,30092929,22711298,16507197,16507196,22711296,30092925,25525121,18915823,18332399,18332398,24069604,24069605,31575210,31575197,31575199,40262338,31575192,24069592,17713567,12530442,8491510,8491511,12530444,17713571,24069600,31575206,255412236,19784877,19784878,256197391,43848934,50283322,54593516,43848886,34577002,26589773,26589774,26589816,19784891,19784858,14171394,9742471,6406242,6406241,6406258,4019131,2408348,1393574,267749983,252566,252565,448821,792512,267782297,4019127,6406248,6406234,4019117,2408342,2408341,4019115,6406231,254962121,19784833,26589730,34576992,43848879,54593513,66852600,80282412,94338592,80282395,80282394,94338590,94338598,80282409,66852598,66852597,59202575,59202574,71941688,71941674,71941675,85529622,99476171,113486832,259354851,85529609,259973021,85529614,258105905,59202572,47803041,37879370,29310493,21982689,255066775,7290410,7290409,11012920,15886937,21982684,29310575,29310561,29310560,37879433,47803048,37879374,29310495,21982598,15886875,15886876,21982577,21982576,29310465,37879327,47802986,59202515,71941622,85529583,99476134,94338683,80282500,66852704,54593636,43848995,34577113,34577115,43848997,43849013,43849012,54593653,258501931,54593657,257284293,43848994,34577112,26589884,26589885,34577146,43849036,257882635,43849038,34577148,26589886,26589887,34577149,257284303,258501935,94338758,108625804,260374671,94338761,108625872,108625880,108625879,122889955,122889882,108625816,108625817,122889885,136721481,136721505,260374673,108625828,122889905,136721504,149863667,262558655,162077495,162077494,173179709,183033735,191646538,273823983,205317884,264319500,214742537,210504658,205317869,205317870,264674173,218230546,264450498,205317886,205317885,264450497,215235106,264674175,205317881,264410265,205317883,205317882,210504666,207364251,201470987,194469635,263936277,194469650,186296309,176920885,166322408,154602303,141958423,128597470,114700854,270292126,73078964,86683261,100655754,100655759,105344129,91123153,91123152,105344127,114700859,114700860,105344116,91123143,260252915,133444519,133444572,133444571,146693563,141958428,141958427,146693546,133444520,261754153,128201432,114318680,100288369,100288368,271817279,91123181,77206364,64065424,52224121,41892706,41892707,41892688,257178265,41892693,269492189,258624444,48599483,48599484,258164497,86326230,91123203,91123164,77206345,77206346,91123165,100288363,86326227,86326222,72728627,72728626,86326220,86326241,86326235,270272788,114318685,128201435,141557921,154219282,154219276,150330540,137288896,123556714,123556715,123556718,258775530,109365317,258334448,87621364,87621365,101588515,115628896,129513850,142830769,155411831,150330537,150330534,260018588,260018586,137288890,271812674,114150910,100117293,100117294,109365304,95111193,81053774,67586241,55244602,44396506,35021082,255481114,55244599,67586236,257542658,109365310,115628893,129513844,142830763,137288892,123556706,123556697,109365306,95111177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301536,261081891,151983080,139276038,125926548,112092307,112092308,125926534,125926533,139276029,262142935,261125494,120992462,106739814,260907757,147907267,261621907,125926528,125926529,139276028,139276016,139276015,134788854,120992447,106739803,92434260,92434261,106739804,98132256,271292263,84237406,84237407,98132288,112092306,271109097,79135883,93251165,107653894,122028201,135955340,149179048,262772217,166515735,172632861,174670047,174670048,174670056,172632867,163852206,151983096,139276045,139276044,151983084,261069367,259888171,84237412,70684568,70684569,84237414,98132297,112092317,125926558,139276050,151983101,139276096,261069377,112092321,112092322,125926561,125926560,139276053,139276058,125926573,112092331,112092330,125926571,261621917,139276069,125926615,112092370,98132334,84237433,258017787,46589925,46589923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6776884, s2 = 14297742, dlinesl.size( ) = 2 s1 = 6776884, s2 = 14297742, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6776884, Dl.E( ) = 10, 1.41e-05 seconds used appending s1 = 13347403, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8301221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3178419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324557, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10199782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8405811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8405811, s2 = 16048996, int(edited[s2]) = 0 s1 = 8405811, s2 = 16048996, d1 = 19, d2 = 17 Dl.O(d1) = 13136753,9441243,9441247,12936064,13261175,18649864,25215625,22999816,16760094,16760095,22999819,30404925,38994210,48918091,52145480,41827391,32902723,25191916,18630831,13245821,9035107,5902758,3687716,3687717,5902760,9035110,13245827,10672809,10672808,15438090,21431791,28541000,21317440,21317439,254634118,42885057,33841571,33841572,42885058,53349428,59657765,59657764,48270790,48270791,38362542,38362522,38362521,256408793,26021937,22423861,22423088,18559605,18552205,18552206,25100720,29788187,22423181,22423182,22423207,22423208,29788393,38360377,48271038,42885089,33841607,26021932,19346270,19346269,26021930,26021933,25108770,18559520,13188308,8990408,8990410,13188315,11303537,7504616,7504617,8728986,5682760,5682759,8728978,12836654,11303610,7504666,4743753,4743754,7504671,10999868,7281482,4592037,2762766,1601574,1601575,2762768,4592042,7281493,7504717,11303699,16258440,22424583,21015799,255538420,22423857,23565382,22423855,22423854,22422785,16257056,12836478,12836479,12333332,12333333,17492105,21944955,23830349,23830348,21964400,19682612,14111026,9707173,9707172,14111024,19682607,18051489,12797117,8700501,5663261,5663262,8700503,12797119,18051491,24471716,25075347,18532623,13167920,8975995,8975996,13167923,13167853,8975950,5859840,5859839,8975948,13167851,18532559,25075279,32772384,32772345,25075251,18532529,13167824,8975925,8975926,13167827,18532531,255216989,267919923,5680021,8725483,12832266,17938194,17938193,20856725,255785735,32772425,25075326,19682617,14111030,9707175,6385370,4006743,2401150,1389395,790110,447463,447464,790113,1389398,2401155,3953707,5972944,5972945,9127428,13355883,18756762,25336384,22670759,17712988,16832549,11771101,10417316,6867338,4310119,4310118,6867337,10417313,11034980,268081127,21028109,15103625,15103624,12530066,8491175,8491174,12530064,10417307,10417306,15103631,21028116,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530236,17713334,22299630,22299631,29651516,22299553,16154111,16154112,22262923,16122533,15779500,15779499,21850287,29158699,254373896,38217924,254729370,16154252,16154251,22299685,22299768,22299769,22299371,16153932,16153931,22299368,17493905,12334717,255029286,22002383,16094560,11178803,11178802,16094559,22228361,16094521,12334633,12334632,16154211,22228400,29575758,29828761,28532854,28532853,31099868,29828765,22461462,22461461,22461473,16293506,254781277,4765436,2872696,2872695,4765434,4976246,4976247,7839294,11741592,16792798,22461972,16293936,11336594,7533484,7533483,11336592,11741631,7839317,4976257,4976256,4765449,2872705,1667221,948323,534623,299745,166024,166025,299748,534630,948337,1667257,2872771,254535243,11336668,7533529,7533530,11336669,16294023,22461108,255029184,18326699,13009259,8856952,5772702,5772701,8856949,13009253,16293650,11336405,11336406,255475363,29828976,38400528,29828219,22460935,22460937,22461664,16293774,11336489,7533420,4765501,2872731,1667238,948328,948327,1667233,2872724,4765487,7533395,11336448,14522850,20239077,27149367,35247578,29909160,22552585,16375727,16375728,22552586,29909159,29909158,38466729,48368178,59750591,72484728,86081875,100044370,114070652,100044371,258691300,72484729,71612965,59750594,48368180,38466731,33407545,33407544,37608833,29059767,21764351,21764350,29059765,255842766 Dl.O(d2) = 260591946,176118451,185583036,193842414,200923224,206897124,211829169,211829171,215860962,211829170,206893830,200919674,193838821,185579601,176115040,165432795,259992330,127635692,113767136,113767135,127635690,140984646,140984641,140984640,140984642,270321334,99752769,99752768,99752772,99752771,113767134,127635689,140984643,127635684,113767131,113767132,127635687,126710072,112858321,98870722,98870721,112858319,126710068,140057619,152747537,164582628,175344770,167773956,156177305,144950918,144950919,157363789,168802067,179080652,183057491,173206495,162106162,272448676,122920083,108655183,94367462,80311277,66882140,66882141,80311279,94367464,91896972,77972289,77972288,91896970,91640065,77713120,64532139,258254627,49972172,256516473,23794824,17462686,254847447,5365404,3298373,3298374,5365410,7663053,11519832,16529002,17462602,12310820,8315205,8315206,12310822,17462610,23794713,31280634,29250445,28246863,21046874,18897498,13465883,13465884,12701759,8629531,5611452,5611453,8629537,12701775,17926618,24311697,268080422,27121708,27121709,255471990,26952949,20068631,14384955,14384954,15437129,21430469,21430323,21430324,28679043,28679248,28679247,33772643,25963036,19297208,19297209,25963037,23996480,256028113,28678993,28678992,37202026,38782312,38782311,38461719,30197836,22806965,16589516,11569246,255114581,255939299,38782339,38461901,29904700,22548668,16372404,11394146,7570404,7570403,11394144,16372400,22548612,29904602,22548662,22548663,29904689,38461758,29904802,22548745,16372452,255477341,29904794,38462004,41284280,32444932,24810275,18321540,18321541,24810280,32444944,41284291,48704635,48704634,38782322,30197818,30197817,38782321,38461874,38461873,48363573,38461871,255917567,16372393,16372394,13005296,255230703,15362999,21336591,28563347,37064983,38461760,38461761,32444923,24810271,24810272,32444926,38461959,29904755,29904756,38461750,38461749,41284287,32444938,32444940,32444929,256598231,38782323,30197822,22806950,16589508,16589509,22806951,30197824,38782327,48704642,41284238,41284239,41284249,41284248,41284334,41231800,32407053,24782452,18301099,12990482,12990483,18301102,24782459,32407057,24810284,24810281,32444945,40907747,40907746,48273849,256460230,29789985,31829269,29253759,29253685,29253684,29253693,29789843,22424353,16258250,16258249,22424350,29291634,21964622,15870599,15870600,21964623,29291639,29789824,22424341,22424342,29789828,31554515,31554516,32490751,31554427,24050234,17696663,17696662,12836637,8728968,8728969,12836642,17696735,12516589,8479507,5481094,3372784,3372783,5481095,7110349,7110348,10761349,11303364,9208291,9208290,13465988,18897624,25508066,33268737,38397744,48308426,59695343,60514292,49111545,39182086,30584332,23166357,16903554,16903555,23166359,30584334,255021770,21530359,15516965,10731680,7090673,267825647,1553785,1553782,2682231,4464542,7090630,10731604,15516847,18926770,25538890,33301046,25764344,20105098,14415251,9914132,9914131,14415247,20105095,15516674,15516672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8405811, s2 = 16048996, dlinesl.size( ) = 2 s1 = 8405811, s2 = 16048996, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8405811, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 9324952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9324952, s2 = 6661592, int(edited[s2]) = 0 s1 = 9324952, s2 = 6661592, d1 = 38, d2 = 33 Dl.O(d1) = 17440308,12293762,12293764,10897479,7207527,4541413,2730072,2730074,4541424,7207548,10897520,15734561,17040997,16311282,11348681,7540993,7540992,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10436730,8299971,8093227,8093228,7580892,7580891,11408473,254105646,254269138,72525042,86124494 Dl.O(d2) = 257061296,259932190,256095623,18448433,18448432,256095621,24967445,257162865,256709820,40167677,38018911,32637868,24967685,24967687,32604094,25422131,25422132,33164472,26261379,26261378,34127561,43215342,50210694,41523803,33111501,33111502,42060712,46612413,46612412,47501656,58880995,63587469,59168694,47770006,47770008,51802086,51802018,41524083,32637819,24967663,18448559,18448556,18448590,13105286,13105283,18448577,24967698,256609239,257459676,47501614,37597706,37597707,47501615,58880955,63587905,51802007,257014198,32637812,41524012,41524013,51801955,63531106,257594710,47356084,47356085,43213873,43213874,43215335,50063717,50063718,58114781,58114780,70829783,65783726,53727326,52404556,52404558,53727330,43215332,43215331,51422192,43213886,34126295,34126294,43213882,47356067,37449384,37449386,47356069,53727360,43215366,34127576,34127575,43215363,53727357,61517325,50038466,40019017,31339738,23847019,17505233,17505232,18448368,13105174,13105175,18448373,24967350,32637302,41523518,47766223,37843571,268672995,23571628,23571626,31054916,39732902,42499497,43213910,43213911,47356080,47356079,47709758,47709757,41482565,41482563,51752537,58616385,58616387,63587894,257670272,48319580,48319578,52507435,42149812,42149811,52507433,50063720,50063721,41225185,41225187,51422209,257670284,51422183,41225163,41225166,32401217,24777578,18297399,18297400,24777583,32401223,41225213,51422158,50647542,40597691,40597689,50647537,52246432,41909489,32970095,32970097,32970058,32970057,33366378,25601882,25601883,33366382,42355196,47223092,52877488,42473373,33479693,33479692,42473371,52877485,44424531,44424533,44486030,41225283,32401263,32401261,41225279,36481394,28020097,28020093,24777567,24777566,28778688,37314246,47223103,51422251,51422250,51422232,41225200,41225201,46500647,51422237,51422238,51422152,51422151,41909463,41225154,41225155,51422167,41225262,41225264,32970104,25247757,18676992,13284122,13284121,18676988,25247742,32970073,41909455,52246409,53726314,64796988,63119067,51422242,42632861,33607506,25809357,25809356,33607504,42632857,36481419,36481417,38385919,29813346,29813347,24777601,18297409,12987714,12987713,18297405,24777590,32401237,41225219,41225220,49761128,51422181,49402290,39473901,39473899,49402285,49918028,43214600,43214599,52246415,52877503,52877504,46500688,36633729,36633727,32970085,25247747,18676999,18676998,15067949,15067950,20979766,28159158,34126833,34126834,43214476,42473386,33479712,33479711,257220341,64796997,65782733,61677592,50194322,40170470,34127008,34127009,28943254,21664530,15628827,15628828,21664533,28943261,34126695,34126694,43214318,53726202,43214366,43214365,43214578,34126928,34126927,43214576,34126987,34126986,43214468,34126823,34126824,36633737,46500699,53726240,53726239,65782590,65782608,257157994,52877425,43214359,34126733,34126674,34126675,43214306,42473044,33479324,25705834,25705835,33479327,31684416,24176010,24176009,26260991,268161347,9612356,254953965,19541506,19541460,19541461,26260915,26260949,256181347,19541509,19541512,25706170,25706169,33377555,25612425,18999297,18999296,25612423,32568394,33479641,42473062,42473317,42472997,268498953,25705761,33479263,34126587,40144200,40144201,50169156,42457487,33479683,33377599,25612462,19079463,19079462,25706241,26260743,26260742,25706360,25706361,33479823,25706349,25706350,33479687,31638201,31638200,33377558,33377560,33464280,33464279,42457318,33479659,25706190,19079418,19079417,19079022,19079021,25705799,25706205,19079428,18999305,13558897,13558896,18999300,19079397,19069950,19069953,25695039,19079256,19079255,25705934,25705935,33479407,33479341,25705846,19079069,13621142,13621141,19079066,19079456,19079458,19079047,19079048,13621357,13621358,19079309,19067449,19067450,25691913,25612469,18999334,18999335,25612475,19079440,13621472,9327252,9327253,13621475,19079133,19079134,25705895,33479361,33479985,25706493,25706492,33479982,42332437,42332438,256147307,19079682,13621680,9327393,9327392,9327177,6109727,3822897,3822899,3822929,3822930,6109785,9327264,13621496,19079475,255633028,19069166,19069165,13621079,9326980,6109621,254303437,1328906,1328934,1328933,2290465,3822980,6109874,9278129,9278128,13552753,9316722,6103075,3818669,3818671,6103076,9316723,13606075 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8301753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6446774, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8133671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8133671, s2 = 8647691, int(edited[s2]) = 0 s1 = 8133671, s2 = 8647691, d1 = 0, d2 = 41 Dl.O(d1) = 48416830 Dl.O(d2) = 263168337,263977493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8133671, s2 = 8647691, dlinesl.size( ) = 30 s1 = 13694209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9176097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165150, s2 = 11387362, int(edited[s2]) = 0 s1 = 14165150, s2 = 11387362, d1 = 1, d2 = 1 Dl.O(d1) = 10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,17338821,23655563,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167627,15685622,15685623,21733928,29023291,37569780,40440087,50476794,50476795,61970230,61970962,50477679,50477678,58672652,58672651,60684537,269007926,256337415,21574385,15551224,15551225,15551239,10755638,10755643,15551251,21574420,28846316,37386575,38519957,47295769,47295768,37386491,37386489,47295785,47472234,58856113,59162811,59162769,59162770,61332186,71900918,61964873,50481984,40445612,40445611,50481977,61974288,59162528,47763746,37841107,37841105,47763739,49973676,61451504,71419807,72548809,62726657,51094517,51094515,58686603,47295756,47295753,37912095,29342876,22010828,22010830,20082194,14398688,14398690,20082203,26967203,35048049,37571641,37571640,47295925,58686822,48428651,48428648,59814480,256912362,29956039,22591793,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755561,52069389,58857754,58857756,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,29027078,37573862,47479703,52069131,41755289,255327904,25129237,32834283,33153493,33153494,42107928,49818403,49818404,52069174,55468575,254889394,27141455,20233568,20233569,23630590,17314745,12190221,8220477,5290419,3241860,3241863,5290427,8220494,12190264,16250636,22415656,29781041,38353650,42419183,38520082,29955243,22591203,16408623,11424992,7594614,7594617,11425000,16408636,22591224,23123398,16863540,16863541,23123404,30541990,29955930,22591711,22467157,22467156,29833789,25742302,19108568,13643305,13643304,13848900,13848899,19361633,19361713,26040159,33861935,37024692,36887679,28390815,21171665,21171666,23631325,25487082,23630556,23630555,17314771,17314773,22591459,16408798,11425076,11425075,7594722,4804112,4804108,7594696,10822010,15638764,21677771,16409413,11425463,7594869,7594870,11425465,16409414,22592306,29956675,38521690,258151497,86148609,260018381 Dl.O(d2) = 10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,17338821,23655563,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167627,15685622,15685623,21733928,29023291,37569780,40440087,50476794,50476795,61970230,61970962,50477679,50477678,58672652,58672651,60684537,269007926,256337415,21574385,15551224,15551225,15551239,10755638,10755643,15551251,21574420,28846316,37386575,38519957,47295769,47295768,37386491,37386489,47295785,47472234,58856113,59162811,59162769,59162770,61332186,71900918,61964873,50481984,40445612,40445611,50481977,61974288,59162528,47763746,37841107,37841105,47763739,49973676,61451504,71419807,72548809,62726657,51094517,51094515,58686603,47295756,47295753,37912095,29342876,22010828,22010830,20082194,14398688,14398690,20082203,26967203,35048049,37571641,37571640,47295925,58686822,48428651,48428648,59814480,256912362,29956039,22591793,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755561,52069389,58857754,58857756,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,29027078,37573862,47479703,52069131,41755289,255327904,25129237,32834283,33153493,33153494,42107928,49818403,49818404,52069174,55468575,254889394,27141455,20233568,20233569,23630590,17314745,12190221,8220477,5290419,3241860,3241863,5290427,8220494,12190264,16250636,22415656,29781041,38353650,42419183,38520082,29955243,22591203,16408623,11424992,7594614,7594617,11425000,16408636,22591224,23123398,16863540,16863541,23123404,30541990,29955930,22591711,22467157,22467156,29833789,25742302,19108568,13643305,13643304,13848900,13848899,19361633,19361713,26040159,33861935,37024692,36887679,28390815,21171665,21171666,23631325,25487082,23630556,23630555,17314771,17314773,22591459,16408798,11425076,11425075,7594722,4804112,4804108,7594696,10822010,15638764,21677771,16409413,11425463,7594869,7594870,11425465,16409414,22592306,29956675,38521690,258151497,86148609,260018381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165150, s2 = 11387362, dlinesl.size( ) = 2 s1 = 14165150, s2 = 11387362, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165150, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 2885528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2885671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2885671, s2 = 9497749, int(edited[s2]) = 0 s1 = 2885671, s2 = 9497749, d1 = 0, d2 = 11 Dl.O(d1) = 86154249 Dl.O(d2) = 207135863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2885671, s2 = 9497749, dlinesl.size( ) = 2 s1 = 2885671, s2 = 9497749, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2885671, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 3182005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 885198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6701179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9493572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9493572, s2 = 8367254, int(edited[s2]) = 0 s1 = 9493572, s2 = 8367254, d1 = 39, d2 = 46 Dl.O(d1) = 257545803 Dl.O(d2) = 257197137,25434450,255260363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9493572, s2 = 8367254, dlinesl.size( ) = 8 s1 = 3922957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8541871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8541871, s2 = 11085686, int(edited[s2]) = 0 s1 = 8541871, s2 = 11085686, d1 = 37, d2 = 25 Dl.O(d1) = 48479258,38565760,38565761,48479261,256961504,86207257,261199987,141451560,261195684,154122166,141451550,259400054,258774960,86207257 Dl.O(d2) = 88313149,74685419,61891762,50401209,256150556,24161495,18966093,13530642,9261004,6065609,6065608,9261021,12140752,13650465,19118935,19118934,25757383,25574499,18965870,18965868,25574490,25925429,30560804,30232750,22840143,17328713,17328714,23645571,23645620,17328750,12203712,8235342,5307486,5307487,7891536,11813294,13530542,9260950,9260949,13530536,13910929,13910928,18965939,18232897,18232898,23645539,19440376,19158645,19158644,25805595,19158648,19158649,25805604,33603025,257228117,257238706,42314497,46882449,37003543,28505542,28505543,37003545,46882453,258039873,84529291,259375583,72223579,72223576,85816445,76452608,76452388,63408408,63408407,76452387,73095053,73095052,85937852,85816880,72224282,72224281,72343974,59609661,59609660,72343973,85492171,71907217,59169137,47770342,37847471,37847473,47770347,39163127,38779375,38779374,48701820,60097628,64445285,59609618,48222769,48222770,59609623,50840964,40735050,31986325,24431413,18018189,18018188,24431411,31986321,40735041,50840942,255938906,47008919,47008920,48960342,39038924,30449949,23042314,23042313,28611607,37122238,47008922,47008921,58379901,48701442,48701431,38779043,38779042,47008945,37122224,28611598,21376241,21376240,28611595,37122219,43900833,47009029,255114228,30449987,23042335,16797210,16797208,23042328,30449978,39038984,32002890,24443828,24443829,32002895,40757870,50872583,59479791,59479782,59479780,71096785,58380167,47009154,47009155,37122423,29611621,22261178,22261176,254527976,37122433,37122432,28611729,28611731,33015744,25290432,18717283,13324021,13324022,256114883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8541871, s2 = 11085686, dlinesl.size( ) = 28 s1 = 8032711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2888026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8198015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14191147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191147, s2 = 6951693, int(edited[s2]) = 0 s1 = 14191147, s2 = 6951693, d1 = 0, d2 = 10 Dl.O(d1) = 59400854 Dl.O(d2) = 260541704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191147, s2 = 6951693, dlinesl.size( ) = 2 s1 = 14191147, s2 = 6951693, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14191147, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 3185447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7978336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7114996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7114996, s2 = 8202155, int(edited[s2]) = 0 s1 = 7114996, s2 = 8202155, d1 = 70, d2 = 11 Dl.O(d1) = 262763470 Dl.O(d2) = 50090187,40068928,256019951,12373907,12373906,12373907,254595351,254271065,1115469,1115470,1952322,3318703,5397050,7114051,7721224,4887263,2945093,1707962,1707966,1559114,1559111,2691338,2945152,2945148,4887371,7721379,11599208,269358469,100435452,114460024,128336911,141686393,154338535,262151690,173666142,268912288,44604921,38730528,30148867,30148866,258167639,270270388,30279060,255502963,11555123,7688935,4870103,2934685,1702006,967522,967518,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860648,7681806,11546236,11551924,7744825,7744826,11626648,267978333,4801801,254241201,955443,538663,538664,955445,1679620,2894207,4801350,2901933,2901935,4815423,4799378,2892918,2892921,4799569,4815259,4815257,7611166,5965266,3730269,3730270,3730517,2233473,2233474,3730521,2451970,2451968,4098842,6515519,4082497,254471197,9914389,14415598,20105572,16441844,11459227,256423827,48487888,268682294,255181192,22666412,255181194,24310404,256142122,62053470,74851557,270530426,261211320,128264876,114388684,100365480,86409413 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8222337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2663818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2663818, s2 = 6548207, int(edited[s2]) = 0 s1 = 2663818, s2 = 6548207, d1 = 29, d2 = 24 Dl.O(d1) = 75564094,75564095,259610860 Dl.O(d2) = 255838195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2663818, s2 = 6548207, dlinesl.size( ) = 38 s1 = 7060688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7042476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7042476, s2 = 9483331, int(edited[s2]) = 0 s1 = 7042476, s2 = 9483331, d1 = 0, d2 = 0 Dl.O(d1) = 261753486,86311932,72715045,257554607,38670270,256984822,31071138,23587639,17275860,17275858,23587637,28756134,21859114,15786844,15786843,17275853,12655463,8592167,8592168,12655464,17871211,24248230,24248220,17871202,12655458,12655459,15655542,15655544,15334539,10591013,10591012,15334537,255849617,12218935,12218936,17345611,17311615,12187203,8217496,8217497,12187205,11905586,7963151,254817855 Dl.O(d2) = 261753486,86311932,72715045,257554607,38670270,256984822,31071138,23587639,17275860,17275858,23587637,28756134,21859114,15786844,15786843,17275853,12655463,8592167,8592168,12655464,17871211,24248230,24248220,17871202,12655458,12655459,15655542,15655544,15334539,10591013,10591012,15334537,255849617,12218935,12218936,17345611,17311615,12187203,8217496,8217497,12187205,11905586,7963151,254817855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7042476, s2 = 9483331, dlinesl.size( ) = 2 s1 = 7042476, s2 = 9483331, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7042476, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1873588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8303341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9144372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9210515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6944564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344373, s2 = 6960703, int(edited[s2]) = 0 s1 = 10344373, s2 = 6960703, d1 = 26, d2 = 24 Dl.O(d1) = 10311754,10311755,14979490,13293994,13293992,16560048,254793891,7679406,255493945 Dl.O(d2) = 263927644,263575380,207228696,206819398,200836155,193746391,260639338,259422258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344373, s2 = 6960703, dlinesl.size( ) = 20 s1 = 2895528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658300, s2 = 8171348, int(edited[s2]) = 0 s1 = 11658300, s2 = 8171348, d1 = 12, d2 = 8 Dl.O(d1) = 260255046,261955906,164051214,164167523,152283160,139552331,126177040,112316333,98333272,258905012,58152293,258656139,98333270,261635059,141607911,263013688,108660563,94373156,80317676,271049422,256198807,9751622,255313709,19005565,25619843,23138865,23138864,26593963,268137644,32384196,32384197,27158352,20246600,16568393,11549585,11549586,268082072,268958339 Dl.O(d2) = 258197718,27028234,20135572,14441584,9934303,6529123,6529122,254977239,20135570,27028230,25082779,255255190,25628466,21791327,15733047,15733051,21436462,21436461,28686436,33393951,29089128,29089129,37639482,37007713,37007714,33393960,25628469,19013334,19013332,13913147,13913146,254734215,4438469,2665361,2665362,4438471,7051505,10675849,15441912,21436467,28686439,37210766,255583080,20135585,20135586,27028247,28686412,268316454,25628447,21791303,21791305,28508971,21289068,21289069,28508975,37007668,46886675,47092476,37196683,28674280,28674279,37196678,47092468,58470317,70969496,58253656,58253657,46886710,37007747,37007748,46886774,58253591,46886627,37007631,28508951,21289061,21289059,28508946,37007624,46886618,58253587,58485726,58485725,62210373,62210372,50690706,47308668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658300, s2 = 8171348, dlinesl.size( ) = 12 s1 = 2895991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7600637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7600637, s2 = 6806052, int(edited[s2]) = 0 s1 = 7600637, s2 = 6806052, d1 = 13, d2 = 19 Dl.O(d1) = 268958455 Dl.O(d2) = 262234306,271790143,99788626,258713748,48121749,256899774,29644739,22292785,22292784,29644737,29647527,27094537,20195427,20195430,21949274,21949273,29038040,30827950,37585795,37585793,255095234,31058798,31058799,26948445,26948444,33749034,33749035,42780094,37695072,29134158,21827037,21827036,29134157,254342060,15897238,20265125,20265307,27189189,256761225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7600637, s2 = 6806052, dlinesl.size( ) = 14 s1 = 3064810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8457291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165598, s2 = 8634896, int(edited[s2]) = 0 s1 = 14165598, s2 = 8634896, d1 = 38, d2 = 40 Dl.O(d1) = 98942672,112932128,126786734,140137398,260058756,173488542,271761096,137269910,123538799,109347196,95093230,81035418,67566792,55223723,44372719,34994268,26912824,20028396,20028395,26912823,23309648,23309649,28171413,20990519,15077114,15077113,20990516,28171408,31822338,40519331,33028656,25302419,18727586,13331883,13331884,18727577,25302406,33028638,41971765,52312249,256476490,38033388,39169592,254819894,16892442,16892443,23153666,30571345,26324608,19597891,19597892,26324610,254565390,33028721,41971834,52312296,255528030,46514565,36647081,36647082,36743292,36743293,33028660,25302426,18727590,13331887,9109235,5960324,5960323,9109233,9109169,5960286,3727353,3727352,5960284,9109167,13331781,18727438,25302197,29950858,22587205,21360354,15382168,15382166,11820776,11820774,16892439,23153659,23289349,17031508,11945995,7996021,7996019,11945992,17031501,23291280,25302359,18727539,18727540,22078126,29408756,24046437,18271641,18271639,24744876,32361292,39305349,30707577,30707576,33028628,30707023,23290742,17031074,17031073,18727575,18727574,25302405,30707411,23291105,17031364,11945890,7995953,7995954,11945894,17031371,23291113,30707428,31061019,23577496,17265855,17265854,23153644,23153643,30571304 Dl.O(d2) = 22739445,30121932,38699127,38699725,30122530,30122531,38699729,30122760,22740147,22740144,30122715,30125094,22742686,22742685,30125091,30122598,30122596,30122797,38700009,30125403,30125404,37537435,28992235,28992234,37537432,37537463,37537465,30125511,30125265,30125263,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,30125413,30049176,22739726,16532165,16532164,22739723,22740135,16532519,11522255,11522254,11522247,11522245,16532507,22739666,30122207,22743027,16535168,16535169,16535123,16535124,16535118,16535119,16535129,22742992,22743402,30125443,22743161,16535297,11524654,7666600,7666599,11524651,16535291,22743152,30122718,22742971,22742970,16535817,268232701,16532466,22740059,22743226,16535378,11524771,11524772,16535384,268219808,16535153,16535174,16535158,11524560,255110347,254792525,7666654,11524709,11521913,7664431,7664434,7664731,7664732,11522342,7666733,7664728,4849510,4849507,7664721,7666527,4850828,2923129,1695643,964191,964190,1695641,2923118,4850807,7665050,4849779,4849778,4851321,2923486,2923487,4851323,7664688,7664685,11522276,7666692,254792383,4850122,2922620,1695684,1695683,2923194,4850913,4851079,4849731,2922378,2922380,4849738,7664992,7667507,4851623,4851613,4851612,4851646,7667540,255110453,16534803,11524282,7666270,4850608,4850607,7664831,4850399,4850400,7666007,11524038,16534543,16534538,11524031,267894975,4850394,7665997,7666034,4850425,2922829,2922830,4850427,7666037,11523981,7665946,7665947,7667577,4851667,4851143,4851144,7664982,4851266,4851267,2923709,1696024,964419,964418,1696017,2923327,1695772,1695773,2923333,4849703,7664952,4850098,2922596,1695288,1695285,2922589,2922256,2922257,1695474,1695473,2922853,2922937,4850577,7666239,4851685,4851686,7666315,7666260,4850601,2922952,2922951,1696012,964415,543457,543455,964151,964152,1695562,1695424,964068,964067,1695420,2922795,2923362,2923360,4851141,7666903,11524945,11524367,7666357,7666356,7664756,7664755,7667512,11524670,7667563,4851656,4851657,4850301,2922752,1695391,964047,964046,1695384,2922744,4850308,7665899,11523942,11525646,11523825,7665816,7665817,7666114,4850478,4850477,7666109,7667064,7667065,7667457,4851577,4851569,2923670,2923667,4851563,4851545,2923655,1695996,1695995,2922786,4850366,7665957,11523992,7666333,7666332,11524342,16534843,16536486,11525698,7667570,4851664,4851663,7665883,11523915,11525716,11523868,7665837,7665839,7665873,4850281,2922717,2922716,4850276,4850305,7665892,11523933,11525724,16534605,11524111,11524110,16534589,22742392,16536437,16536438,16534466,11523924,11523922,16534354,16534353,16535856,11525250,7667446,7667417,4851539,4851540,7667418,11523840,7665825,4850259,2922710,1695360,1695359,2922706,4850250,7665810,11523813,11523761,11523762,16534311,16534454,16534455,22742274,22742089,16534236,11525567,7667406,4851534,4851533,7667402,7667468,11523894,16534430,11525574,11525576,16534624,11524121,7666101,4850472,4850471,7666093,11524105,16534597,22738757,16531525,16531526,16534372,22742206,22742084,22742085,22742364,22742153,255933735,30124605,38701421,38701479,38703040,48613223,38697581,38697580,38698217,30125513,22743106,255933837,256976335,48613445,38703737,30127039,30127038,30120633,30120635,30120563,30120562,30124796,22742370,22742371,30124802,38701644,38702419,30127023,30127022,38703723,48618290,57997868,60008193,60004206,60004205,58827139,58827138,57997739,57997692,48616565,48616564,60006796,57997938,46621840,36733650,36733651,36733675,28238933,28238932,36733669,46621867,50254692,50254693,42172145,33212510,33212511,31549446,31549445,31549457,24045825,24045824,23641981,17693337,17693339,21034881,15108601,10420914,10420913,15108593,21034870,28231984,31025256,23544083,23544084,31025264,39702358,49720823,42142102,33182597,33182598,42142105,40429392,40429391,33182635,33182636,39457171,31735160,24226607,17854810,17854811,24226612,25545590,33307209,40235572,50254747,40235358,31549434,24045814,24045815,31549423,31549422,39828433,31146233,23659427,17342627,254840523,5317932,5317933,8246365,12216178,17342637,19076134,13618900,13618902,19076137,25702407,29828926,38401149,33475666,33475667,28967191,28967189,36283814,27870297,20738779,14866032,14866030,20738777,18133307,12858156,8744005,5692628,3541468,2108389,2108390,3541469,5692629,8744007,12858161,18133315,24575293,32159758,37540930,254691024,70532435,70532434,75654823,62709875,62709874,59076659,47676351,47676350,46474916,36608860,28135022,28135021,31768218,29922732,22563314,22563315,29922734,38482853,48385481,59768280,58691638,47301183,37391983,37391982,269319209,48961742,39044387,30455093,23047220,23047219,30455090,39044384,48965724,60360929,53682431,43172013,34088698,34088699,41959380,33016677,25291099,25291097,22270040,16128687,16128684,16128633,16128634,16128643,16586544,267981295,7698628,11566554,16586547,22803902,30194525,38778846,48701202,60097057,72833870,86428521,100383982,260637037,141633043,262273009,263183093,194301245,201329878,194301244,186094808,186094807,194301241,264241387,212123575,216109117,215595048,211516644,206525681,200486828,193336322,185004763,185004764,193336324,185004766,175463841,164709314,152877255,140185876,126836997,126836996,140185873,140185870,126836994,112982602,112982601,98992256,85065987,71493295,71493294,85065986,98992259,112982604,112982605,98997784,98997783,112987309,257465468,71500196,71500197,71500195,58770817,47383752,47383751,57955294,57955295,47383754,37476374,28934842,28934841,23666540,23666539,28934844,37475402,28934815,28934814,28934858,37476392,47383767,47383786,58770848,71500219,85072265,98997795,98997803,85072273,85072274,98997805,89733902,256204466,62973450,62973451,57863494,57863493,62973452,75954957,70565098,57863490,57863489,256204468,70565100,57863491,57863492,70565102,84101437,97975425,111913165,125731078,139070107,259137812,151771770,163646401,174481617,174481626,259766614,258508828,125731091,270635362,163646417,174481632,184129423,192578969,192578971,192578970,272450456,174481622,163646407,163646408,151771780,139070115,139070116,271147254,139070113,139070112,151771775,163646406,260975224,174481621,163646409,151771778,146976006,146976005,159359311,261539938,180850536,180850535,186589529,186589530,194715159,191716068,183109879,173263131,162168938,260672026,133565095,133565096,146823435,133565090,119690535,105452432,105452431,119690533,119690538,105452440,91230846,91230845,105452439,100342418,270339509,60050256,60050255,60050259,48653863,38732912,30151131,30151132,38732913,48653862,60050258,72788939,86385018,100342424,114367288,128244992,141596243,154252918,141596241,128244991,115191131,101113009,87114953,73496305,60747439,269847407,87114950,101113004,115191124,129123104,142500417,155144723,166838183,177386182,186702742,263506438,186702744,186702746,177386188,166838191,155144727,142500423,129123113,271309914,87114954,73496306,73496307,87114956,101113013,115191136,129123115,129123114,133713907,133713908,119836204,105596423,105596422,91372816,77448774,64293267,52432577,52432576,64293266,77448772,91372812,105596418,260865971,105596419,105596420,119836203,260270019,91372808,77448769,64293262,269076969,33133117,42084550,42084551,256639117,33133119,25395493,18808062,13398824,9160282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165598, s2 = 8634896, dlinesl.size( ) = 2 s1 = 14165598, s2 = 8634896, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165598, Dl.E( ) = 44, 2.69e-05 seconds used appending s1 = 6761602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6761602, s2 = 6524901, int(edited[s2]) = 0 s1 = 6761602, s2 = 6524901, d1 = 78, d2 = 99 Dl.O(d1) = 258173397 Dl.O(d2) = 255566564,28744965,24312986,24090316,17732854,17732855,24090320,31593656,40277942,40277921,40277920,45625745,40498169,31803103,24288702,255204985,5601630,3477297,3166536,1853730,1057977,594917,594918,1057979 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1262881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1262881, s2 = 6866224, int(edited[s2]) = 0 s1 = 1262881, s2 = 6866224, d1 = 7, d2 = 7 Dl.O(d1) = 31722924,34273010,30170811,22782135,16566586,11548095,7682898,4861235,2929364,1699187,1699188,2929365,4861238,7682901,11548101,267832938,30170827,25564886,25564887,26388643,19654288,14087820,9689949,9689947,14087814,10454558,8526320,8526316,12572188,12031783,8088688,6376160,6376161,9694564,14095262,19663964,20843359,17124805,17124803,22376715,16220744,16220743,13721706,13721705,19210486,254796510,268649380,92457256,86440304,72845810,72845811,259421039 Dl.O(d2) = 31722924,34273010,30170811,22782135,16566586,11548095,7682898,4861235,2929364,1699187,1699188,2929365,4861238,7682901,11548101,267832938,30170827,25564886,25564887,26388643,19654288,14087820,9689949,9689947,14087814,10454558,8526320,8526316,12572188,12031783,8088688,6376160,6376161,9694564,14095262,19663964,20843359,17124805,17124803,22376715,16220744,16220743,13721706,13721705,19210486,254796510,268649380,92457256,86440304,72845810,72845811,259421039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1262881, s2 = 6866224, dlinesl.size( ) = 2 s1 = 1262881, s2 = 6866224, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1262881, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2577912, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8279412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2898747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13285625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3194270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10242682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9189264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9189264, s2 = 14068650, int(edited[s2]) = 0 s1 = 9189264, s2 = 14068650, d1 = 20, d2 = 19 Dl.O(d1) = 261216544,72870659,86466190,100422986 Dl.O(d2) = 97973157,258639381,57861633,46505448,36638081,256624218,10393978,6851130,6851131,10394027,11528841,10355202,6819514,5924369,3704517,3704519,3712992,5924589,3704648,3704647,5924587,6818146,5926180,5591947,254283271,1180321,662844,662845,1180324,2057297,3469304,5591962,8605205,5591960,5591961,8605207,12671350,17889115,24267930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9189264, s2 = 14068650, dlinesl.size( ) = 2 s1 = 9189264, s2 = 14068650, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9189264, Dl.E( ) = 34, 1.29e-05 seconds used appending s1 = 2900083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2900083, s2 = 4497205, int(edited[s2]) = 0 s1 = 2900083, s2 = 4497205, d1 = 5, d2 = 10 Dl.O(d1) = 86474179 Dl.O(d2) = 177552108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2900083, s2 = 4497205, dlinesl.size( ) = 2 s1 = 2900083, s2 = 4497205, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2900083, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 1882575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1882575, s2 = 8459245, int(edited[s2]) = 0 s1 = 1882575, s2 = 8459245, d1 = 0, d2 = 19 Dl.O(d1) = 48748105,258176513 Dl.O(d2) = 141682963,141682962,128849143,114948393,258173478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1882575, s2 = 8459245, dlinesl.size( ) = 14 s1 = 14164190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164190, s2 = 14320165, int(edited[s2]) = 0 s1 = 14164190, s2 = 14320165, d1 = 68, d2 = 47 Dl.O(d1) = 71505477,59609316,59609317,257044719,31039417,23557303,257627273,65204774,65204775,74871241,72188405,59450459,59450458,72188403,85782528,99736248,113750437,127619117,127619119,127619118,140968549,153635686,153635685,153635686,140968547,127619116,260556968,260170234,258930688,48751475,38831401,38831400,256056588,52016651,257171028 Dl.O(d2) = 79353068,74611964,61820122,61820123,74611966,88242474,102241163,93489634,93489635,85984286,72389310,72389311,85984292,93489480,93489483,79353340,65986518,65986517,79353336,78319565,78319566,92353049,92353087,92353092,79353346,65986526,53918056,53918048,53918049,65986513,78319501,65039720,65039721,78319505,65986484,65986483,79353296,93489571,98829137,98829138,107927274,93489465,93489417,79353094,65986288,53917894,43392957,43392959,53917898,65986292,74611958,74611959,88242462,93489630,79353371,65986551,65986550,78319491,65039716,65039715,78319487,65986347,65986349,79353162,93489487,92353100,78319648,65039833,53057135,53057134,65039828,78319638,65986530,53918061,43393062,34293290,34293291,43393064,53918065,53057070,53057071,65039733,78319517,92353014,93489566,93489442,93489441,106657580,107927259,93489426,79353107,65986302,53917904,43392963,34293223,34293224,43392968,53917912,65986306,78319655,65039835,65039836,65986554,53918082,53918083,65986559,78319536,65039747,65039749,78319540,78319671,78319672,92353113,78319686,78319685,78319642,65986536,65986534,65986360,65986355,53917950,43392991,34293235,26417120,19680750,19680751,26417125,34293298,43393071,53918076,65986545,79353362,93489446,79353121,79353120,93489445,93489458,93489436,79353117,65986311,53917920,43392972,34293226,34293228,43392975,53917908,53057137,42609416,42609417,53057143,65039841,65986573,53918092,53918093,65986577,79353387,78319546,65039852,53057147,42609420,42609421,53057151,65039858,65986541,53918072,53918071,53917956,43392994,34293237,26417077,19680717,14109167,14109168,14109198,19680755,26417137,33585613,33585614,42609374,53057084,53917926,53917925,65986315,79353122,93489449,103704515,89588553,75805993,75805992,89588548,103704514,92373011,78340121,268952982,44505888,35128245,35128247,33606580,25808675,25808674,33606572,42631550,53079059,61894799,74688436,88315886,92353082,88315903,74688447,74688448,61894838,50404258,40368830,40368829,50404253,61894831,74688476,79353186,65986376,53917966,43393002,43393003,43393081,34293305,34293304,43393078,53918085,65039737,65039738,78319527,92353022,104086524,104086525,102311178,102311179,89588570,89588571,95213810,81156902,67691458,55351991,44505874,35128239,35128240,42631556,42631557,42631544,42631545,53079054,65061349,65061361,78340134,269461226,89588543,75805991,62841874,51192021,51192023,50404269,40368838,40368839,50404271,61894812,50404242,50404245,61894817,65986370,65986369,65986378,79353191,89588575,75806029,62841908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164190, s2 = 14320165, dlinesl.size( ) = 40 s1 = 1528749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2900617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2900617, s2 = 139724, int(edited[s2]) = 0 s1 = 2900617, s2 = 139724, d1 = 37, d2 = 83 Dl.O(d1) = 86481167 Dl.O(d2) = 3173217,5201466,8119207,12074221,17172398,23448246,30878865,25490571,18886706,18886705,15153852,15153850,15153867,10450968,10450967,11487666,11487664,16487664,15620043,15620045,21654822,28932326,30549404,23131240,23131239,24411903,31959713,24422354,18010367,18010368,22136863,22136861,29473301,38036145,37414852,37414853,28930371,21653109,17172397,17172396 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3196015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3196016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3196234, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6915085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6720043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8304801, s2 = 7677670, int(edited[s2]) = 0 s1 = 8304801, s2 = 7677670, d1 = 0, d2 = 1 Dl.O(d1) = 10589470,15332382,10982157,7269310,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295682,12270567,12256150,12256152,12256724,12256725,17392699,21934420,21934418,28463082,21239429,15271370,15271371,21239431,28463084,36962642,268380142,23917055,17574900,12403061,12403062,17574903,254725618,30276172,38860844,48781094,60175627,72912529,86508984,100466855,114491377,128051055,114161189,269831504,72563494,256447628,38533468,29967577,22602578,22602577,29967575,38533465,48441919,39453419,30849555,30849556,39453420,47421792,269075218,58809039,58808973,256123192,28970748,21688860,15649559,15649558,21688858,28970743,33105005,268488975,268142329,9146017,8624408,7695454,4870137,2934716,1702018 Dl.O(d2) = 267760149,741352,1299037,2240120,3741939,5984266,7694111,4869128,2934056,1701671,1701670,2934053,4869123,7694106,11561309,11562779,11562778,11431191,7599767,4807729,2897560,1681299,1681298,2897557,4807720,7599746,7740781,7740780,7743789,7743788,11415043,7586148,4903755,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,9118887,5966631,254645723,9118904,13345616,255655385,255270785,13551802,18991120,25603506,33368122,42357031,52756573,258420021,91784455,105979026,120179282,134012289,261985717,170909201,262483512,272213504,129863202,270843324,87949488,74347260,61570379,50090356,268404756,28375105,28375104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8304801, s2 = 7677670, dlinesl.size( ) = 2 s1 = 8304801, s2 = 7677670, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8304801, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 3197027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6669773, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6915332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6915332, s2 = 14090469, int(edited[s2]) = 0 s1 = 6915332, s2 = 14090469, d1 = 63, d2 = 3 Dl.O(d1) = 260045260 Dl.O(d2) = 73508273 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15239181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2903598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142155, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14164706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2585780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3199975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3199975, s2 = 11484328, int(edited[s2]) = 0 s1 = 3199975, s2 = 11484328, d1 = 16, d2 = 24 Dl.O(d1) = 141820230,128467282,114582216,100550905,86589781 Dl.O(d2) = 141820224,154465945,166199098,176815566,186208118,194397363,201414186,263981696,201414184,194397362,194397363,201414186,263981698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3199975, s2 = 11484328, dlinesl.size( ) = 2 s1 = 3199975, s2 = 11484328, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3199975, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 1534510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657972, s2 = 4179543, int(edited[s2]) = 0 s1 = 11657972, s2 = 4179543, d1 = 13, d2 = 5 Dl.O(d1) = 261225050,141830150,259432412,114591809,100559985,86598513,73001019,60265793,256996774,86598508,86598516,73001021,73001020,86598515 Dl.O(d2) = 128467183,260049286,154465856,166199018,261771784,154465857,261771786,186208061,263192048,201414162,201414161,194397312,186208057,176815504,176815503,186208052,194397308,201414158,195776783,195776784,202583528,195776787,187827667,178710739,168392181,156938366,144540218,144540217,131319190,117523512,117523511,131319188,144540219,156938367,159395619,147013610,133763380,119892070,105652592,91425763,77494350,64329899,52462213,42109675,33155179,255661519,13410223,13410224,18822725,25414118,33155183,37240436,39811040,37240435,28709651,23641587,21454894,15456073,15456074,21454897,21454739,15455950,10686577,10686578,15455954,21454749,24592999,24592998,32179605,37240441,37240535,47145845,42109663,33155171,33155170,37240439,28709657,28709656,21907617,15826423,10967570,10967134,7259235,7259234,10967132,15825840,21906697,15825741,15825742,15827667,15828304,10968900,7260399,7260400,10968903,10967810,7259673,7259672,5719277,5719278,5770598,3594597,3594598,3619173,3695095,2212445,1284153,1284151,2212442,3594567,3594566,5770548,8853806,13004812,18320823,18320820,18320821,24809376,32443986,41283310,32443985,32443984,41283307,51497721,63207987,76218982,90023135,104147835,118301043,132114103,145343710,157748254,169184597,179445518,188470617,196331081,203053583,208685312,213312570,217100205,220249169,222916907,223075271,220436876,217330564,213600352,209045471,203495799,263909802,180182244,170015804,158657328,146289031,133061436,119231477,119231478,261412877,262449883,170015809,180182248,180182246,170015808,158657333,146289033,146289032,158657331,170015807,170023486,158665309,146297112,133069588,133069587,146297111,158665308,272976447,158665310,146297114,133069589,119239692,119239693,133061448,261188082,90860637,76982554,76982555,90860639,105039248,260844625,260249397,105047205,105047206,119239693,133061447,146289043,158657342,170015814,165914941,154153944,141488294,128127075,114240324,258218002,257610352,59893132,48499064,38584196,30012077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657972, s2 = 4179543, dlinesl.size( ) = 2 s1 = 11657972, s2 = 4179543, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657972, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 2906511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8334552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6829763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6829763, s2 = 3364656, int(edited[s2]) = 0 s1 = 6829763, s2 = 3364656, d1 = 25, d2 = 29 Dl.O(d1) = 258956404 Dl.O(d2) = 110855266,124805227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6829763, s2 = 3364656, dlinesl.size( ) = 16 s1 = 1409528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1409528, s2 = 13484201, int(edited[s2]) = 0 s1 = 1409528, s2 = 13484201, d1 = 25, d2 = 16 Dl.O(d1) = 256933447,38133235,48046662,48046669,59438632,53938557,43411577,43411576,38133234,36623596,36623597,34310230,26432275,19694221,14120877,14120878,19694223,22221053,16088727,14120880,14120879,19694227,23031242,16788521,11738830,7837541,7837542,255128325,23031249,30437928,27120911,27120912,35213277,44593983,55444214,258483675,53938566,53938567,43411596,34310246,34310247,43411599,43411623,43411622,38133183,38133182,43411608,44594003,35213301,35213300,44594000,48046607,38133197,29567201,26432309,19694240,14120888,9715012,9715013,14120892,19694244,26432315,34310276,43411626,48949956,39027478,30437941,255138226,16788527,23031258,30437939,268427764,39027493,39027494,48130377,48130344,48130346,48949994,48949993,255147956,36930678,36930677,34310267,28150230,28150231,28431971,21207959,21207958,23031287,23031289,30437979,39027516,31165277,30437974,23031284,16788545,16788544,23031282,23031323,16788569,16788570,23031325,30437981,23031290,23031291,30437982,33422518,30437969,30437968,32604718,29169346,29169347,37729637,38237763,48147297,268305298,37446437,30438036,30438035,39027578,48950043,60346548,73085912,86689836,86689838,86689837 Dl.O(d2) = 86689838,73085913,73085914,86689839,91728235,77800558,256154530,42330620,33349177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1409528, s2 = 13484201, dlinesl.size( ) = 2 s1 = 1409528, s2 = 13484201, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 1409528, Dl.E( ) = 26, 1.41e-05 seconds used appending s1 = 6867984, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9542515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2909015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10183241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9341927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6931068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14066139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9140659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9140659, s2 = 9683710, int(edited[s2]) = 0 s1 = 9140659, s2 = 9683710, d1 = 0, d2 = 0 Dl.O(d1) = 53154049,53154048,65138891,53311436,53311437,65310911,78609486,92665658,106999445,100765696,86784912,73172390,257585467,49021971,258816549,65259315,53269659,53269658,65259314,78549404,92596629,103303824,103303826,103303827,117439783,128198068,114315321,100284999,86322959,72725575,59988240,48596343,38680029,30102732,30102731,30102734,22721082,22721083,23166393,30584364,31415536,33002775,29664979,22312913,16167237,11234741,7455847,4711010,2838021,2018615,1154881,1154879,2018612,2040955,1169610,1147572,1138028,1138029,653960,362635,362634,198466,198465,362642,450910,450908,795637,1398159,254313493,267869715,254964975,14213874,19840582,26654119,34645166,43918129,43163779,34080661,26220201,255331158,15871625,19184007,19184006,15441195,15441196,21435593,26948567,26948566,21352908,15376523,10625457,10625459,15376526,15430001,21420973,18772112,18772111,24347918,17955995,13350030,13350031,14422890,9921379,6520737,4085678,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,5672248,8713783,9462659,6204590,6204592,3883568,3883569,6204678,9462896,13405592,13405591,15388989,10635146,10635145,15388986,20105892,18077443,12816101,8970528,8970529,12730942,12730941,12815156,12815155,9914530,6515599,4082545,2442781,1412561,803758,803757,1412560,2442778,4082536,6515585,9914513,9475794,9475793,13817255,9585977,9585976,7565974,7565973,9520967,13878621,15639793,21679080,20109174,14419984,9918456,9918458,14419989,11002047,8646030,8646031,12724271,9914879,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,1412627,803820,803816,254214759,3850221,254208345,1338545,2306846,3850224,6153495,9392924,13713716,18769344,18769343,25350890,33081809,25680844,19058121,13605390,9316355,6102836,3818504,2287637,254303047,6102835,9316353,9316364,13605398,19058132,13623995,12479460,12479459,12479428,8450255,5458421,3355905,3355906,5458424,8450262,12479441,15577840,10775824,7119864,4482793,2693418,1560370,1560371,2693422,4482805,7119717,4482711,4482710,7119715,10775571,15577534,18777783,13373207,12476508,8446725,8446726,5982224,267929783,7936279,5438786,5438790,3350604,3350608,5450447,8441055,8429456,8429457,12460660,8443477,8443420,8443419,12456948,8449982,5458150,3355682,1972749,1972750,3355684,5458151,8449984,12479261,255803592,12462042,12458415,8435835,5446569,5446566,8420741,5434916,3341089,3341092,5434950,8420787,8431860,5443386,5443384,8427456,5440018,5440019,5440832,8428547,8448084,8436277,5446891,3348503,3348504,5446893,8423366,5436905,5436904,8423364,8447525,8440330,5449855,5449856,5446264,3348098,3348099,5446267,8425902,8427074,8422206,5436012,4562605,2743846,1590193,904011,904010,1590191,2743842,4562595,5454168,3353060,1971219,254272699,1123893,631194,350446,350447,631196,254187211,1966722,1966723,3344676,3344384,3344387,5440391,8427978,254599669,5437279,8423930,12455615,12474821,12472109,8441479,8426191,5442095,3351619,1970414,1970413,3351618,3813316,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13616522,9323704,9323707,13569125,19012039,18581892,18581891,25135717,25755894,21692644,15652446,15652447,19143075,25787885,30038776,22663166,20063583,20063584,21156493,21156494,21888703,19072527,13616069,9323481,9323482,13616072,17862635,12649482,8588521,8588522,12649484,17862637,24237633,30018491,22646186,22646187,17871704,12655858,12655857,11119371,11119370,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,11438693,7606158,7606157,11438691,16422556,22605539,19104897,268303163,21763601,15707375,15707376,21763605,29059042,25465883,24241851,24241850,22129569,22129570,29464361,268303165,13640546,9340752,6118354,6118353,9340750,13640542,19104894,25737942,33517474,42517416,257814049,64853520,78050626,91977026,106174664,120376781,134209828,147421859,134209831,134209830,261995151,171074234,175402539,164640995,152803040,261800662,260680288,98920265,84995501,71422261 Dl.O(d2) = 53154049,53154048,65138891,53311436,53311437,65310911,78609486,92665658,106999445,100765696,86784912,73172390,257585467,49021971,258816549,65259315,53269659,53269658,65259314,78549404,92596629,103303824,103303826,103303827,117439783,128198068,114315321,100284999,86322959,72725575,59988240,48596343,38680029,30102732,30102731,30102734,22721082,22721083,23166393,30584364,31415536,33002775,29664979,22312913,16167237,11234741,7455847,4711010,2838021,2018615,1154881,1154879,2018612,2040955,1169610,1147572,1138028,1138029,653960,362635,362634,198466,198465,362642,450910,450908,795637,1398159,254313493,267869715,254964975,14213874,19840582,26654119,34645166,43918129,43163779,34080661,26220201,255331158,15871625,19184007,19184006,15441195,15441196,21435593,26948567,26948566,21352908,15376523,10625457,10625459,15376526,15430001,21420973,18772112,18772111,24347918,17955995,13350030,13350031,14422890,9921379,6520737,4085678,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,5672248,8713783,9462659,6204590,6204592,3883568,3883569,6204678,9462896,13405592,13405591,15388989,10635146,10635145,15388986,20105892,18077443,12816101,8970528,8970529,12730942,12730941,12815156,12815155,9914530,6515599,4082545,2442781,1412561,803758,803757,1412560,2442778,4082536,6515585,9914513,9475794,9475793,13817255,9585977,9585976,7565974,7565973,9520967,13878621,15639793,21679080,20109174,14419984,9918456,9918458,14419989,11002047,8646030,8646031,12724271,9914879,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,1412627,803820,803816,254214759,3850221,254208345,1338545,2306846,3850224,6153495,9392924,13713716,18769344,18769343,25350890,33081809,25680844,19058121,13605390,9316355,6102836,3818504,2287637,254303047,6102835,9316353,9316364,13605398,19058132,13623995,12479460,12479459,12479428,8450255,5458421,3355905,3355906,5458424,8450262,12479441,15577840,10775824,7119864,4482793,2693418,1560370,1560371,2693422,4482805,7119717,4482711,4482710,7119715,10775571,15577534,18777783,13373207,12476508,8446725,8446726,5982224,267929783,7936279,5438786,5438790,3350604,3350608,5450447,8441055,8429456,8429457,12460660,8443477,8443420,8443419,12456948,8449982,5458150,3355682,1972749,1972750,3355684,5458151,8449984,12479261,255803592,12462042,12458415,8435835,5446569,5446566,8420741,5434916,3341089,3341092,5434950,8420787,8431860,5443386,5443384,8427456,5440018,5440019,5440832,8428547,8448084,8436277,5446891,3348503,3348504,5446893,8423366,5436905,5436904,8423364,8447525,8440330,5449855,5449856,5446264,3348098,3348099,5446267,8425902,8427074,8422206,5436012,4562605,2743846,1590193,904011,904010,1590191,2743842,4562595,5454168,3353060,1971219,254272699,1123893,631194,350446,350447,631196,254187211,1966722,1966723,3344676,3344384,3344387,5440391,8427978,254599669,5437279,8423930,12455615,12474821,12472109,8441479,8426191,5442095,3351619,1970414,1970413,3351618,3813316,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13616522,9323704,9323707,13569125,19012039,18581892,18581891,25135717,25755894,21692644,15652446,15652447,19143075,25787885,30038776,22663166,20063583,20063584,21156493,21156494,21888703,19072527,13616069,9323481,9323482,13616072,17862635,12649482,8588521,8588522,12649484,17862637,24237633,30018491,22646186,22646187,17871704,12655858,12655857,11119371,11119370,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,11438693,7606158,7606157,11438691,16422556,22605539,19104897,268303163,21763601,15707375,15707376,21763605,29059042,25465883,24241851,24241850,22129569,22129570,29464361,268303165,13640546,9340752,6118354,6118353,9340750,13640542,19104894,25737942,33517474,42517416,257814049,64853520,78050626,91977026,106174664,120376781,134209828,147421859,134209831,134209830,261995151,171074234,175402539,164640995,152803040,261800662,260680288,98920265,84995501,71422261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9140659, s2 = 9683710, dlinesl.size( ) = 2 s1 = 9140659, s2 = 9683710, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9140659, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9439938, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3206362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2912775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3207043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3207398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9480618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8378216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8378216, s2 = 15232056, int(edited[s2]) = 0 s1 = 8378216, s2 = 15232056, d1 = 19, d2 = 16 Dl.O(d1) = 263198340,114903549,114903548,262296129,142155382,261978402 Dl.O(d2) = 86865185,73252219,67791736,55449088,55449089,55449091,67791737,256648388,35219021,27125770,27125772,33009634,25284502,18711545,255091885,11290403,16240002,255874076,23592944,17280823,12159974,12159973,17280822,23592943,29764386,22401849,22401848,256321018,16240351,254777819,254777821,16240354,22402265,29764837,33009654,256490924,47346614,47346613,256490922,64145408,64145409,77294496,77294498,64401539,64401538,77569730,91500863,86419822,86419821,86419811,86419810,72824967,60087694,48691485,38769478,30185618,22795791,22795792,30185620,38769484,48691493,60087704,60796558,59871547,59871546,70861415,70861407,58147268,48977564,39055382,39055381,46779725,46779724,256048062,46779697,36901872,28404530,21183581,21183580,28404533,268913385,58147277,256555344,257494089,59180216,47781081,257322903,27136437,20229827,14516568,14516567,20229825,270797736,55460697,257409658,28332203,21120756,255376110,254717510,2590393,1493303,845655,477334,477336,845657,1493310,2590407,4329948,6897847,10464568,12072695,12072694,17170047,23444975,30874672,28363510,21147638,15336763,15336764,21306191,16726611,13381848,9146904,9146902,12072734,17170093,15175383,254221786,10469358,6901860,6901863,10469363,10030303,10030302,14576566,254719406,21155710,21155709,21127573,254328170,10469317,6901830,6901831,10469318,15134573,10466909,6901103,4333042,4333043,4334938,6903019,10470260,10438187,10438188,15134391,21069543,15136947,15136949,254328698,10470388,10470064,10469288,6901794,6901795,10469289,15178979,10483803,6912008,4341049,4341048,4682081,2821027,2821028,4682083,5412164,3326927,1956534,1117603,627069,348382,348051,190843,104198,104201,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692009,17914360,17914394,17569847,17569846,23912688,23746348,22879670,21934817,15847194,15847195,12410375,12410374,17554151,12434495,12434496,17381187,17381186,17563175,17563174,23906903,23738256,17413464,12272182,12272181,12389603,8372565,8372564,12389601,17560366,17848273,15210854,15210853,21168559,15465089,15465088,16650400,11618159,11618160,16650402,22878807,23899403,21126301,15177611,10467854,6900400,4332359,254328662,254157388,269337,254077729,44923,44922,82100,149301,269321,269562,478982,848238,1496952,2595151,4226794,2527325,1456562,824687,465712,262140,262144,465727,824722,1456604,1492946,1492945,1495523,1495525,2592954,4332752,2598392,2598390,4340192,6903550,4335838,4333199,2593326,1495772,1495773,2593334,2980719,2980718,4939605,4672868,2980768,2980766,4939681,6904799,4336850,4329260,2595692,2595694,3477045,2063135,2063137,3477089,4336441,4335953,2595552,1497180,848367,848369,1497188,1730342,1730341,2980775,4335811,2595469,2595470,2630433,1518859,1518860,2630440,2630341,1518793,1518795,2630347,2595457,1497134,848343,479028,269585,269586,479034,848359,1497161,2595505,1730425,983741,553816,553814,983732,1730410,2980891,4939873,5698082,3545377,2111120,2111119,3545374,5698075,8751917,12869280,254399864,23694767,31184509,39866930,31184505,31184506,39866933,49889141,61369802,50531521,256512794,74820347,74769320,74769319,257641896,80307718,258344322,43877904,43877903,39180577,30582856,30582861,39180583,49110073,60513049,258823581,100852752,114903478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8378216, s2 = 15232056, dlinesl.size( ) = 14 s1 = 9674252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674252, s2 = 12261097, int(edited[s2]) = 0 s1 = 9674252, s2 = 12261097, d1 = 16, d2 = 29 Dl.O(d1) = 128066626 Dl.O(d2) = 256561444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674252, s2 = 12261097, dlinesl.size( ) = 2 s1 = 9674252, s2 = 12261097, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9674252, Dl.E( ) = 38, 2.5e-05 seconds used appending s1 = 9504367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13202917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13202917, s2 = 8410987, int(edited[s2]) = 0 s1 = 13202917, s2 = 8410987, d1 = 11, d2 = 19 Dl.O(d1) = 22175627,16050627,16050626,22175623,28150092,28150090,26206231,19496365,19496366,26206237,31310926,31310927,27301109,20809845,20809846,24139775,17775499,17775500,21214916,28440354,31430576,23939369,22319972,16175001,12359739,8351027,8351029,12359743,17525677,22379123 Dl.O(d2) = 86876504,100857189,114907771,128804911,261785275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13202917, s2 = 8410987, dlinesl.size( ) = 2 s1 = 13202917, s2 = 8410987, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13202917, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 2915251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2915251, s2 = 14142472, int(edited[s2]) = 0 s1 = 2915251, s2 = 14142472, d1 = 1, d2 = 95 Dl.O(d1) = 86880123 Dl.O(d2) = 274728123,266860238,241079857,240607234,266740504,266673934,266522116,237590351,237590350,274752384,266673932,266435658,235944223,235944224,236806235,237590353,266673936,266802872,266962362,241518714,241518716,267050846,242973797,243276922,267091078,242301054,242301055,242301052,241925328,241925326,267050842,242301057,241925335,241518702,266962354,241079842,240607216,266740502,238951327,266522112,266239702,233958588,232817936,231556680,265578534,226762277,274354393,201574763,201574764,207451919,264245028,219540629,222314117,224694945,226762287,228564912,274518376,274414732,226762285,224694944,265217874,228564909,265734416,231556702,230149744,230149736,228564907,226762285,224694944,265217874,228564909,230149741,231556697,231556675,231556674,232817932,266129040,266129038,266129044,232817942,265877988,265578540,265217876,224694945,226762287,228564913,228503784,265578542,228564911,230149742,231556700,231417358,231417357,265982136,228393739,226569422,224475450,222065228,219259147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2915251, s2 = 14142472, dlinesl.size( ) = 32 s1 = 2915392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9022073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6764699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6764699, s2 = 604472, int(edited[s2]) = 0 s1 = 6764699, s2 = 604472, d1 = 7, d2 = 14 Dl.O(d1) = 258201583 Dl.O(d2) = 22279920,16136517,16136516,22279918,21089368,21089367,22277915,22414889,22154310,16033979,16033980,22154314,29493345,28847820,21575951,15552619,15552620,16034051,16034052,22154391,23114821,30533522,39132238,267829876,29631609,22279891,16136489,11209442,11209443,16136493,16855585,268084820,11788594,7871757,4997260,4997258,7871751,11788582,16855642,23114919,23115213,21708912,21708914,23114949,16855669,11788600,11788599,16855663,23114942,30533617,38185641,32977246,25254362,25254363,29493338,29493339,38057240,47970260,255387248,37387994,28847823,28847822,29493404,30068656,22689648,16489102,11488642,7641283,7641284,11488646,16489106,22689651,30068658,38643960,48559206,39132276,30533593,23114908,254771252,11788572,16062696,15551072,268210263,21574223,23114922,16855645,16855644,22190540,16062690,16062691,22190544,29530643,29530640,29529024,22186600,16059489,16059490,18683487,18683488,25254368,29728040,254494054,15551744,15551745,21574967,21574987,21574986,28846889,28846883,21574981,15551760,10756048,10756046,15551757,16060808,22188121,29530646,38094429,48005953,38097639,29533577,22190553,16062698,16062699,11606039,11606038,16637935,22865287,30261233,28847432,21575499,15552220,10756370,10756371,268210301,15552369,15552368,21575627,28847542,22190559,22190557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6764699, s2 = 604472, dlinesl.size( ) = 14 s1 = 3209442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6850325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9146390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9146390, s2 = 9676161, int(edited[s2]) = 0 s1 = 9146390, s2 = 9676161, d1 = 42, d2 = 45 Dl.O(d1) = 62004211,59460705,50169792,40144683,31461246,23965433,17615396,17614099,17614098,23963569,31458526,40140914,40144676,31461243,23965430,23965414,23965413,31461218,38157565,48070081,59460674,59460671,48070076,38157560,38157559,48070074,59460667,258748431,259991555,106662861,258895038,95103663,81046321,67578496,55236283,44386626,44386625,55236281,67578492,81046318,84752816,71184271,58462292,58462291,71184270,84752860,98680099,90678979 Dl.O(d2) = 257080531,59182481,59182480,61663437,50177508,256531767,31468428,40152292,269195998,37453136,47359383,38531961,38531960,48440264,59826315,72561612,74447663,86159825,86159826,86870327,73257719,73257720,86870329,100851284,102327041,258910877,61910010,61910011,74703462,88331203,102327044,260400164,88331200,74703459,61910008,257095649,40385098,257679013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9146390, s2 = 9676161, dlinesl.size( ) = 40 s1 = 9676160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9676160, s2 = 9146391, int(edited[s2]) = 0 s1 = 9676160, s2 = 9146391, d1 = 60, d2 = 59 Dl.O(d1) = 257679012,58303543,257095648,88316977,102312508,109425980,260400165,116857160,116404826,102312511,88316980,88316979,258910876,112294967,98312301,84402584,71432468,71432467,67791824,55449178,55449177,55449180,44599868,35219104,27125846,20221286,20221287,27125847,35219105,269195999,60692850,73441188,256531766,67578492,71184269 Dl.O(d2) = 71075924,71075925,84638877,74447656,61663438,50177508,50177509,53117053,53117054,65103773,78387483,88074944,74462708,258895039,102060818,259991554,258748430,98562117,84638880,81167278,81167279,71387991,71387992,84962891,84962888,84962887,74439468,61655369,61655370,61655384,74439486,72858682,72858683,72666735,59926627,48533122,48533123,50169436,61655386,74439487,74462709,61679912,61679913,74462711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9676160, s2 = 9146391, dlinesl.size( ) = 44 s1 = 9141251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4119653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4119653, s2 = 10358178, int(edited[s2]) = 0 s1 = 4119653, s2 = 10358178, d1 = 62, d2 = 46 Dl.O(d1) = 153911375,261187137 Dl.O(d2) = 265129533 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6963282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7717920, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6522747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3211003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10181794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3363742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13325315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13325315, s2 = 4777214, int(edited[s2]) = 0 s1 = 13325315, s2 = 4777214, d1 = 1, d2 = 1 Dl.O(d1) = 256029750,38643211,48558400,59950564,257083456,40213647,31527830,24025648,17675293,17675294,24025650,31527831,28446616,21220495,15251398,10521661,10521662,15251399,21220497,28446618,31499902,31499901,40184952,48514072,38599383,30026533,24001666,22653242,22653244,24001109,28059593,27123516,20219634,14509253,13363177,13363176,18766301,24002234,24002235,31500440,255810472,35217131,39955534,49972165,47367190,37461891,37461892,44598557,35217742,35217743,44598559,42023136,33079146,25348416,18766859,13363495,9132822,5976542,3737549,2237722,2237726,3737563,5976564,9132849,13363544,18766956,25348563,22595420,22595422,29960021,38525400,43060052,40195023,38547303,29978424,29978422,31776749,38171967,48084322,48459531,38547294,38547293,48459528,52361006,49744047,39724628,33079107,33079108,42023101,42023682,33079680,25348820,18767117,13363614,13363610,18767106,25348798,29056206,21761432,21761434,29056216,29510027,22169101,16045704,16045703,22169096,25348541,33079316,37388083,28847980,21576180,15552835,10756881,7106838,7106837,255042821,255845503,256879007,47297354,258069821,84994809,98297603,98297604,112279096,126138371,112279092,98297600,84389074,84389075,98297601,112279094,126138374,130090441,116183005,102125644,88138309,74526403,61744757,50266576,50266577,61744758,74526404,270909229,258761070,61767156,50287363,40266124,31579020,24183013,24183012,31691577,40385155,50287362,61767155,50419683,50419684,61910085,74550989,74550982,74550983,270910429,116219143,130130039,143460898,155999754,167609040,173703505,162691540,150589134,137588608,272329279,117854479,103700042,89584230,75801797,62837714,51187644,41031180,41031179,51187643,257721511,51187607,62837685,75801765,258959489,75801753,89584184,101742053,106828423,259530658,120909444,106656498,92351873,92351874,106656500,120909448,134708016,134708017,145195474,131956284,118138760,118138761,131956287,143519574,143519575,130189843,116351111,102256542,88258283,74627970,65038246,53055459,42607646,33583568,31635392,24128415,24128414,31635391,40324668,50351530,51058440,40917307,40917306,32139957,24558106,18120026,18120025,18120028,12848521,8737250,5688106,3538444,3538442,5688103,8737244,12848508,18120009,24558089,32139929,37713703,37713702,47636123,59038148,60156302,254617940,38842722,44571198,35193176,27104125,27104128,35193148,35193165,35193159,35193160,44571188,36441446,27982490,20818411,20818412,27982494,36441518,27982545,27982544,34308473,26430570,26430569,27982483,20818454,14921366,14921365,14921376,255782823,36441573,46294393,36441461,36441460,36441497,27982459,20818388,14921323,254704005,6742391,10260452,14119914,14921272,10260413,6742369,4224925,4224929,6742378,10260429,14921295,14921358,14921357,20818434,27982446,20818376,20818375,26430620,34308375,26431132,19693184,14120103,10260448,10260444,14921318,20818382,19692881,268323991,26430675,26430671,19692910,19692909,19692920,19692919,26430854,34308794,43410184,43410242,53937009,269000182,66007518,53937250,43410157,34308770,34308771,43410158,43410279,43409910,34308571,26430689,26430690,34308577,43409914,53936979,53937283,43410182,43410181,53937212,66007750,53937495,43410449,34309068,34309069,43409667,34308255,26430353,26430354,34308260,34308837,34308838,43410234,53936807,43409966,43409967,53937015,53937003,43409980,34308638,26430744,19692846,14119827,9714309,6390780,6390781,9714312,14119835,19692861,26430776,34308690,31238618,31238620,34308875,34308874,43410275,53937345,53936972,53936971,66007526,66007957,66007956,66010586,66007663,66007548,66007547,66007575,79375863,70712723,70712722,57995926,57995923,53936783,53936782,53937449,43410398,43410399,53937451,57995883,57995994,46619767,36731684,36731685,46619772,57995999,57996014,53937170,48805857,38883851,38883848,48805851,53937062,53937075,53937074,66007392,53936773,43409658,43409659,46619681,36731641,28237137,21039006,15111786,15111787,15111776,15111777,21038997,28237119,26430781,26430780,34308696,43410049,53937125,66007661,79375922,79376091,79375956,270386502,101904893,87931480,74328462,61551957,50073482,40053646,40053648,50073485,61551964,74328472,87931497,76007632,76007633,270985479,258885418,112117191,109421885,95165440,81106754,67640703,55302382,44457795,44457796,46285443,57630216,70320881,83846687,70328828,57638614,57638613,70328847,83853972,97712792,97706134,97706135,111627797,97706132,83846675,83846676,83846754,83846755,97706221,98978015,85053049,71481767,58753303,47367598,47367601,58753314,71481789,85053080,98978058,112967113,113806959,113806958,112967020,112967021,126820775,126820873,112967189,104881202,90711369,76840916,76840914,90711365,104881196,100848102,86866827,73253910,73253911,76840909,90711357,87920953,74317767,74317766,71481913,58753419,58753418,63737303,76840919,85053300,85053299,85053308,71482060,58753587,47367864,37462504,28922938,28922939,37462506,257464131,37462542,37462543,47367734,58753344,47367626,37462323,37462324,47367234,37461923,37461922,47367231,47367240,47367262,37461934,37461935,37461900,37461901,47367203,37461950,28922441,28922440,37461948,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Dl.O(d2) = 256029750,38643211,48558400,59950564,257083456,40213647,31527830,24025648,17675293,17675294,24025650,31527831,28446616,21220495,15251398,10521661,10521662,15251399,21220497,28446618,31499902,31499901,40184952,48514072,38599383,30026533,24001666,22653242,22653244,24001109,28059593,27123516,20219634,14509253,13363177,13363176,18766301,24002234,24002235,31500440,255810472,35217131,39955534,49972165,47367190,37461891,37461892,44598557,35217742,35217743,44598559,42023136,33079146,25348416,18766859,13363495,9132822,5976542,3737549,2237722,2237726,3737563,5976564,9132849,13363544,18766956,25348563,22595420,22595422,29960021,38525400,43060052,40195023,38547303,29978424,29978422,31776749,38171967,48084322,48459531,38547294,38547293,48459528,52361006,49744047,39724628,33079107,33079108,42023101,42023682,33079680,25348820,18767117,13363614,13363610,18767106,25348798,29056206,21761432,21761434,29056216,29510027,22169101,16045704,16045703,22169096,25348541,33079316,37388083,28847980,21576180,15552835,10756881,7106838,7106837,255042821,255845503,256879007,47297354,258069821,84994809,98297603,98297604,112279096,126138371,112279092,98297600,84389074,84389075,98297601,112279094,126138374,130090441,116183005,102125644,88138309,74526403,61744757,50266576,50266577,61744758,74526404,270909229,258761070,61767156,50287363,40266124,31579020,24183013,24183012,31691577,40385155,50287362,61767155,50419683,50419684,61910085,74550989,74550982,74550983,270910429,116219143,130130039,143460898,155999754,167609040,173703505,162691540,150589134,137588608,272329279,117854479,103700042,89584230,75801797,62837714,51187644,41031180,41031179,51187643,257721511,51187607,62837685,75801765,258959489,75801753,89584184,101742053,106828423,259530658,120909444,106656498,92351873,92351874,106656500,120909448,134708016,134708017,145195474,131956284,118138760,118138761,131956287,143519574,143519575,130189843,116351111,102256542,88258283,74627970,65038246,53055459,42607646,33583568,31635392,24128415,24128414,31635391,40324668,50351530,51058440,40917307,40917306,32139957,24558106,18120026,18120025,18120028,12848521,8737250,5688106,3538444,3538442,5688103,8737244,12848508,18120009,24558089,32139929,37713703,37713702,47636123,59038148,60156302,254617940,38842722,44571198,35193176,27104125,27104128,35193148,35193165,35193159,35193160,44571188,36441446,27982490,20818411,20818412,27982494,36441518,27982545,27982544,34308473,26430570,26430569,27982483,20818454,14921366,14921365,14921376,255782823,36441573,46294393,36441461,36441460,36441497,27982459,20818388,14921323,254704005,6742391,10260452,14119914,14921272,10260413,6742369,4224925,4224929,6742378,10260429,14921295,14921358,14921357,20818434,27982446,20818376,20818375,26430620,34308375,26431132,19693184,14120103,10260448,10260444,14921318,20818382,19692881,268323991,26430675,26430671,19692910,19692909,19692920,19692919,26430854,34308794,43410184,43410242,53937009,269000182,66007518,53937250,43410157,34308770,34308771,43410158,43410279,43409910,34308571,26430689,26430690,34308577,43409914,53936979,53937283,43410182,43410181,53937212,66007750,53937495,43410449,34309068,34309069,43409667,34308255,26430353,26430354,34308260,34308837,34308838,43410234,53936807,43409966,43409967,53937015,53937003,43409980,34308638,26430744,19692846,14119827,9714309,6390780,6390781,9714312,14119835,19692861,26430776,34308690,31238618,31238620,34308875,34308874,43410275,53937345,53936972,53936971,66007526,66007957,66007956,66010586,66007663,66007548,66007547,66007575,79375863,70712723,70712722,57995926,57995923,53936783,53936782,53937449,43410398,43410399,53937451,57995883,57995994,46619767,36731684,36731685,46619772,57995999,57996014,53937170,48805857,38883851,38883848,48805851,53937062,53937075,53937074,66007392,53936773,43409658,43409659,46619681,36731641,28237137,21039006,15111786,15111787,15111776,15111777,21038997,28237119,26430781,26430780,34308696,43410049,53937125,66007661,79375922,79376091,79375956,270386502,101904893,87931480,74328462,61551957,50073482,40053646,40053648,50073485,61551964,74328472,87931497,76007632,76007633,270985479,258885418,112117191,109421885,95165440,81106754,67640703,55302382,44457795,44457796,46285443,57630216,70320881,83846687,70328828,57638614,57638613,70328847,83853972,97712792,97706134,97706135,111627797,97706132,83846675,83846676,83846754,83846755,97706221,98978015,85053049,71481767,58753303,47367598,47367601,58753314,71481789,85053080,98978058,112967113,113806959,113806958,112967020,112967021,126820775,126820873,112967189,104881202,90711369,76840916,76840914,90711365,104881196,100848102,86866827,73253910,73253911,76840909,90711357,87920953,74317767,74317766,71481913,58753419,58753418,63737303,76840919,85053300,85053299,85053308,71482060,58753587,47367864,37462504,28922938,28922939,37462506,257464131,37462542,37462543,47367734,58753344,47367626,37462323,37462324,47367234,37461923,37461922,47367231,47367240,47367262,37461934,37461935,37461900,37461901,47367203,37461950,28922441,28922440,37461948,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13325315, s2 = 4777214, dlinesl.size( ) = 2 s1 = 13325315, s2 = 4777214, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13325315, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 6765142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6765142, s2 = 14200097, int(edited[s2]) = 0 s1 = 6765142, s2 = 14200097, d1 = 11, d2 = 19 Dl.O(d1) = 258205505 Dl.O(d2) = 114975954,263595345,201615886,207488355,212329572,216285139,219564507,222334588,224713098,226778144,228579348,230163034,228579340,226778133,224713091,222334584,219564505,219564504,222334581,224713088,226778126,228579334,230163026,230163016,230163017,230163032,228579339,226778133,224713091,222334584,219564505,219564504,222334581,224713088,226778126,228579333,228579317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6765142, s2 = 14200097, dlinesl.size( ) = 14 s1 = 13522855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8360544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8360544, s2 = 2260041, int(edited[s2]) = 0 s1 = 8360544, s2 = 2260041, d1 = 15, d2 = 1 Dl.O(d1) = 114996426 Dl.O(d2) = 60602482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8360544, s2 = 2260041, dlinesl.size( ) = 2 s1 = 8360544, s2 = 2260041, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8360544, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 2919124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3212589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6917936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8360735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8381522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2921178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8412125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8412125, s2 = 1584593, int(edited[s2]) = 0 s1 = 8412125, s2 = 1584593, d1 = 13, d2 = 11 Dl.O(d1) = 112091905,101010905,87018084,73403412,270356541,73403413,60657592,49257554,49257553,48838916,38918358,38918359,48838918,60233278,72970492,86568738,80367400,66941833,54685473,43942896 Dl.O(d2) = 26675529,19858292,14227279,9780564,6430509,4034241,4034240,6430507,9780560,14227271,268330767,21305399,15336138,10592221,6987473,4390789,2630779,1519074,1519075,2630781,4390793,254729113,15336169,21305486,21305430,15336129,15336128,21305428,28527491,37025466,28527554,28527458,28527459,37025441,46903030,37025475,37025476,46903044,43942854,34668669,26675500,26675501,28527438,28527436,37025421,269309807,43942852,37025448,28527466,21305406,15336117,10592206,6987466,4390786,267962379,21305398,21305483,28527576,28527469,28527451,28527452,21305423,15336125,15336126,21305425,28527488,37025472,32555430,24904993,18401089,13070186,13070187,18401091,18339490,13018714,13018712,18339488,24833285,28527529,37025533,37025534,46903039,46903102,37025558,256852965,41319000,51540234,46882005,46882006,37025553,28527543,21305460,21305461,28527546,37025557,46903098,46903014,256313809,28527442,37025427,46903017,46400133,36539176,28072074,28072075,36539179,37025453,37003252,28505361,21286462,15322228,10582911,10582910,255394171,28505353,37003250,46882021,48195812,38286738,29720367,29720369,38286742,31379438,23882437,17536180,17536181,23882439,23882448,17536185,17536186,23882453,31379459,31379416,31379417,40062163,31379407,31379406,40062160,40062219,31379448,23882443,23882442,31379447,32564868,32564869,41425067,51667193,48251153,48251154,255188234,35036331,44410857,55258449,67600139,74341149,269402774,40062223,40062222,50083537,256881516,40062260,31379487,31379486,40062258,50083618,50083650,40062293,31379516,31379517,38340425,29769149,22405957,22405956,29769147,38340376,38340413,38340412,48251129,48251076,38340357,38340356,39326370,257022969,59912876,59912877,72653537,60623593,258208655,269832555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8412125, s2 = 1584593, dlinesl.size( ) = 2 s1 = 8412125, s2 = 1584593, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8412125, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2264195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9696285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9696285, s2 = 14164931, int(edited[s2]) = 0 s1 = 9696285, s2 = 14164931, d1 = 10, d2 = 6 Dl.O(d1) = 262684064,161209324,148894881,136756800,122925447,122925446,127169866,113310148,99306626,99306625,258714526,101082222,101082221,115158943,129089765,142466396,137279049,123546800,123546801,137279050,150320918,162456647,173496963,183300103,191080821,182373995,263335594,161209327,262459338,135647231,121703865,107323048,92918558,89432950,75669669,65481609,53460987,256689731,26098607,19409606,13886732,13886731,19409605,26098606,33931916,42985999,53460979,53460981,53460980,62723203,51091201,51091200,258328375,62723204,61445070,258254193,61445076,49967060,268639778,31275244,39950225,49967061,61445074,61445075,74224808,78619261,78619262,92674360,107007372,115850319,101803941,101803940,115850318,129749893,135149799,121300011,121300010,135149803,135149805,121300018,107007380,107007379,121300016,121300008,121300007,121300014,107007378,92674363,78619264,65321744,53323355,42861614,33820617,33820618,42861615,53323357,65321746,78619257,78619255,65321740,53323353,53323354,65321742,78619259,92674356,92674357,107007371,258205562,259452634,129045315,115118595 Dl.O(d2) = 115118597,104930191,90750291,76872053,63763326,62682989,62682988,51052488,40910764,40910765,51052489,40910774,32133080,24552148,18115363,12845315,12845314,255612303,32133071,40910761,51052483,258325859,76097849,75627682,75627681,89388739,76218207,76218208,90022487,104147294,118300562,117611913,117611914,105758019,91535645,77605756,64436940,63207189,51496988,41282671,32443460,32443459,41282669,42201964,52561858,64436938,77605754,91535643,91535641,77605748,64436933,64436934,258196324,42201966,39129649,30531121,30531120,33240968,25491214,25491213,33240966,257202521,63207237,63207182,51496982,42201960,41282667,32443457,24808981,24808982,32443458,33240961,25491209,18887191,13459592,13459593,18887192,25491212,268493337,9204378,9204377,13459590,18887187,25491207,33240959,269814838,18320542,18320539,18320538,24808979,32443455,41282663,51496981,63207180,59645460,59645462,72379938,85974626,99932119,85974632,72379950,59645472,48258542,256965965,38566364,48479846,59871677,72609905,86207647,94347413,80291158,66861816,54603752,43861014,43861013,48258538,48258533,38347954,38347956,258139557,68728596,68728594,82256069,86586995,72989870,60254481,48861672,38942048,38942049,48861676,60254489,55673656,44764351,44764352,55673659,68072588,80330888,94385230,81562479,81562480,95595872,257577072,90022496,104147298,99932121,90022494,257577066,60254485,60254484,60254473,60254474,68072586,255952552,86587034,86587035,100548041,109797831,123933709,114578761,100548017,86586992,86586990,100548015,109797847,95595882,81562490,268237332,44764361,44764360,55673668,68072602,256452550,68072606,68072605,74919232,87013160,257533424,74919242,62115438,50616099,50616098,62115436,74919240,88557452,258462521,53532731,43052808,33993899,256693657,269556231,78892536,256953224,115961310,115961309,116662213,127493722,127493723,113861511,99843712,99843711,113620174,127493723,127734649,113861512,99843712,85888987,85888989,72417213,62115429,62115428,74919232,87013160,257533424,88557454,102563649,88557464,74919254,62115445,50616103,50616102,62115443,74919252,87932431,87932430,257533434,126321368,112455289,98465174,84543095,70979729,70979728,84543094,74692423,61898757,255094778,88320049,87932461,74329457,74329456,74342631,74342629,61565371,61552918,256953206,74342605,74342606,74329426,61552899,50074366,40054450,40054451,256524820,74329430,84957300,71382153,58646439,58646183,58646184,59869069,58264002,46897098,254374062,33107922,33107923,254812692,64256305,52401049,42057132,254343776,42057120,33107903,25372665,18788034,18788033,25372662,33107901,42057116,42057111,268078950,46402618,46402616,42057153,33107929,33107930,33107933,37344478,29187382,21875781,21875782,29187385,21875789,21875791,268112302,28806365,255567056,58646176,71381935,84957098,71810828,59070014,47670367,47253935,47253936,58646299,47254057,37344616,28806564,21539629,15523720,10736306,7093523,7093524,10736308,15523726,21539643,28806582,37344634,42268949,33288725,33288724,257205859,39803975,31123847,23637952,17322324,17322325,13487051,9227488,6043485,254652329,10746005,7099784,7099785,10746008,15536515,10744978,7099090,4469798,2685556,2685557,4469801,7099097,10744984,15536526,21557007,20110378,14421428,9919899,9919900,14421429,15537923,10746016,10746017,15535499,21555950,15536416,15145110,15145111,21084578,15536509,10745002,7099108,4469807,2685559,2685558,4469805,7099105,10744997,10745915,7099720,4470178,4470177,254336933,2685813,4470215,7099770,10745986,10445271,10445270,10445342,6885815,4469588,2685436,1555665,1555666,2585626,1490356,843802,476156,267852,148363,81573,81574,148366,267860,476168,499161,884616,254227065,4470202,4470254,2685837,2685836,4470251,4469874,4469873,7099202,10445381,10445382,10745159,10745158,15536733,21557245,28828043,255844869,21558193,255987664,23620479,17305960,12182979,12182978,17305958,23620476,31105691,37721251,36787327,36787328,31414676,28291154,28291151,31414673,255570041,255430977,10932683,254513779,2742035,1589074,1589076,903661,509652,285704,285703,509535,903433,1589216,254343179,1589645,903700,509670,509668,903695,1589637,2742922,4561131,7235299,7235307,10935109,10935110,15784625,21856328,25528272,21477939,21193835,15230280,15230279,21193834,28415738,36913431,255838652,28434273,28365905,28365906,36864125,46745299,49869078,39846977,31165094,31165095,36865631,36867485,257016061,30645699,269362902,7928150,7928149,7927950,5039684,5039683,7927948,11862629,16949722,23222865,30641944,25931157,23219111,23219112,23222164,16949119,16949118,21224699,21224700,23221185,254888322,16948407,11861757,7927448,5039435,3050957,1777351,1013307,571184,571185,1013311,1777363,3050981,5039477,7927546,11861924,16948626,16948777,23221784,19451238,13919731,13919729,16947860,23220773,30643635,27089101,27089100,29404781,255969454,17681032,23994807,31492326,24000948,24000949,21539276,15523463,15523464,21539278,28806138,37344151,257417056,58055232,70773189,58645932,47253229,37343513,28805385,21538572,15522996,15522997,16476975,16476974,12464683,8433317,8433315,12464677,17640433,13920385,9554533,9554532,13920381,19452170,26150573,30145096,268255516,21538492,28805291,28805287,21538488,15522946,15522945,21089972,21089971,28297667,36794817,46680810,47253605,37344050,29537415,29537417,29227664,22310415,16163469,16163470,22310420,22726246,22310398,16163459,255017390,15149078,21089807,255017394,10448045,6887720,6887722,10448054,14574296,14574295,20308565,27238762,35361631,44785680,40168030,31483189,23986302,23986300,22262989,22262991,29613907,38151555,29585504,29585502,22278388,16457079,11466501,11466500,16457076,21040768,15113166,10424471,10424470,15113159,21040757,23448417,23448416,30879136,36794775,28297629,28297630,36794776,29630303,22278456,22278457,16135661,11208910,268085011,22278797,22279286,29631144,38197728,38198130,38198131,38196789,29629925,22278148,16135207,267889958,11208730,11209261,11209259,11208937,7437329,4699511,4699505,7437313,11208914,16135668,22278809,29630642,29629745,22278022,16135115,11208575,11208572,16135104,11209173,7437483,7437484,11209179,16135142,22277842,19807076,14187682,9753100,9753101,14187686,19807082,22153806,28847866,256879003,48004087,46811431,46811429,46811427,36933030,36933031,46811428,268242098,71382090,59733563,48349465,46618937,38348532,38348531,48259354,57991064,46614943,36727260,36727261,40291046,267845976,24105629,31607990,254106344,39035430,30445930,30445928,23992370,23976675,23976676,31472870,23976657,23976587,23976585,31472744,33378542,25613317,19000105,13559602,9283513,9283516,13559609,19000121,25613341,33378583,42367468,52766968,59394690,59394691,63678425,61679924,50196752,40173152,31488150,23991038,17646198,17646197,23991036,31488144,40173160,46504615,36637368,28162418,28162419,36637370,40176802,40176803,37146144,28632162,21393219,15408220,10650306,10650305,15408217,21393215,28632154,37146136,47035090,47254458,39356373,30755636,28771641,21510526,21510529,15501292,15501295,17191106,17191108,18741033,18741057,17055949,11964935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9696285, s2 = 14164931, dlinesl.size( ) = 2 s1 = 9696285, s2 = 14164931, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9696285, Dl.E( ) = 12, 1.38e-05 seconds used appending s1 = 10193105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2923332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6874456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9413814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3216642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3216814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9672633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7923017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7923017, s2 = 4328628, int(edited[s2]) = 0 s1 = 7923017, s2 = 4328628, d1 = 14, d2 = 13 Dl.O(d1) = 27018686,20127757,20127758,17237047,254581244,254581246,14432510,14432509,267905882,17318548,267993306,29852985,23654149,17337110,12211213,254345480,16310664,11348318,7540806,7540808,11348323,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541303,11349336,16312360,22484104,18595238,18595237,21506553,15498347,10718158,10718157,15498346,21506552,28766589,29861540,254579192,29864178,29864177,28240904,28240905,31120086,23633482,23633481,29864103,29864104,30541748,23123008,16863048,11794983,7876703,5272843,5272844,254836879,17291131,23604101,22509068,22389579,16230657,11283264,10451623,6889774,4325236,4325237,6889776,10451630,15154926,12014642,254564714,258216315 Dl.O(d2) = 166817805,177367828,263208502,202604743,202604742,263286156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7923017, s2 = 4328628, dlinesl.size( ) = 22 s1 = 3217660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3217660, s2 = 14142809, int(edited[s2]) = 0 s1 = 3217660, s2 = 14142809, d1 = 31, d2 = 70 Dl.O(d1) = 101095590 Dl.O(d2) = 265221575,216193891,212222878,207362918,201469472,194468076,186294490,176918882,166320447,154600194,154600193,154600196,141956215,128595028,114697876,259435585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3217660, s2 = 14142809, dlinesl.size( ) = 38 s1 = 3217744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3217744, s2 = 8279976, int(edited[s2]) = 0 s1 = 3217744, s2 = 8279976, d1 = 35, d2 = 36 Dl.O(d1) = 101106967,87108714,73489798,60740594,49337285,49337286 Dl.O(d2) = 259780666,109347055,109347056,123538656,128255572,141606359,154262442,164140884,174960374,184565410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3217744, s2 = 8279976, dlinesl.size( ) = 12 s1 = 6766355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6766355, s2 = 8200722, int(edited[s2]) = 0 s1 = 6766355, s2 = 8200722, d1 = 34, d2 = 30 Dl.O(d1) = 258217989 Dl.O(d2) = 257104431,31801861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6766355, s2 = 8200722, dlinesl.size( ) = 2 s1 = 6766355, s2 = 8200722, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6766355, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 2608889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15486329, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2995752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348645, s2 = 7277916, int(edited[s2]) = 0 s1 = 10348645, s2 = 7277916, d1 = 33, d2 = 89 Dl.O(d1) = 38273155,256932692,47640789,59042603 Dl.O(d2) = 264888230 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2928296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340350, s2 = 3730136, int(edited[s2]) = 0 s1 = 10340350, s2 = 3730136, d1 = 26, d2 = 23 Dl.O(d1) = 258100596,8114749,5198750,3171704,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793632,6063306,4366738,4366742,6949288,10537521,15270634,17159297,23434760,30864189,39468127,32446892,24811785,24811786,257033403,258221887 Dl.O(d2) = 129173055,261804823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340350, s2 = 3730136, dlinesl.size( ) = 28 s1 = 10176293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2929489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7843997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7843997, s2 = 14952934, int(edited[s2]) = 0 s1 = 7843997, s2 = 14952934, d1 = 28, d2 = 32 Dl.O(d1) = 5378952,3307579,1945840,1111602,623814,346690,190110,103818,57078,32123,32118,57089,103845,168659,168658,304672,543699,964851,1696837,2924871,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275588,4275577,4275573,5719416,4298874,2570185,2570186,3707489,3707491,5929421,9067991,13284684,9073872,5933883,4279410,4279409,6821755,10357731,9085611,9085612,13303961,13276258,9061005,9061006,13276260,10389969,6847675,4296740,4296741,6847677,10389970,255358185,10357420,6821513,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,2576394,4249157,2576303,2576302,3724849,3724848,5585130,5212689,5212690,6797537,6797536,10299746,10386727,9647737,9647739,6775381,4246889,4246891,2545480,1466493,1466491,2545472,4257824,6758955,10283349,10415354,6865716,4308950,4308948,6865709,10305824,6777501,4248236,2539845,2539846,4248244,6748303,8133394,10366393,8333826,8333827,9062769,10320177,9065680,9065681,13281526,10375236,10375237,10987223,7272995,7272996,10987224,15034723,10362260,6825744,6825745,9325032,9325033,13618430,19075608,17200309,12095384,12095382,17200308,18679909,18672346,18672345,17881862,17881863,24259334,269376947 Dl.O(d2) = 260761546,258381410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7843997, s2 = 14952934, dlinesl.size( ) = 26 s1 = 10300186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10300186, s2 = 10180022, int(edited[s2]) = 0 s1 = 10300186, s2 = 10180022, d1 = 39, d2 = 42 Dl.O(d1) = 258608868,73825504,257984992,259198138,101439362,101439363,271211220,261020280,262106110,261371716,260205064,261265991,263222843,265422605,263814634 Dl.O(d2) = 257987200,256800132,257377370,258611152,145083853,272951979,161980193,260436776,108199704,257953710,79704795,93815371,270715132,258570998,257345880,81961640,259199598,94003602,79919997,66515578,258494411,94003600,84804588,84804589,94227357,84804643,259309917,93855152,272443455,162885544,261040584,110261569,124344478,262105339 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3065025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13814679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3224163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2931989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2931989, s2 = 4332856, int(edited[s2]) = 0 s1 = 2931989, s2 = 4332856, d1 = 0, d2 = 13 Dl.O(d1) = 87583843 Dl.O(d2) = 167021587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2931989, s2 = 4332856, dlinesl.size( ) = 20 s1 = 9396690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8049096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165302, s2 = 11881454, int(edited[s2]) = 0 s1 = 14165302, s2 = 11881454, d1 = 21, d2 = 27 Dl.O(d1) = 22867246,16639448,255944827,38847324,40854184,40854185,50989115,50989114,50989111,50989112,62611295,75549224,75549228,75549227,89304955,103394412,89304957,75549231,75549232,89304960,87004449,73388952,60642471,60642472,73388955,87004453,100998008,115069091,128995312,142370480,154293546,141638443,141638444,140566875,129680582,129680581,129680580,115784000,101738865,101738864,115783999 Dl.O(d2) = 2386736,2386737,3982429,2386729,2386728,3982427,6347257,3982423,2386726,2386727,3982425,6347260,9652951,14039166,19593845,19593846,19593847,26319497,19593843,19593842,256184119,43288512,34191439,34191440,43288515,53813553,53813559,43288521,34191443,34191442,43288519,257858539,53813558,257858541,79245841,79245837,79245836,259736895,122201276,112565725,98571870,84648491,71085669,58369163,46998810,46998809,37113097,255705730,21370214,28603860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165302, s2 = 11881454, dlinesl.size( ) = 2 s1 = 14165302, s2 = 11881454, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165302, Dl.E( ) = 30, 2.81e-05 seconds used appending s1 = 13511457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8371457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8371457, s2 = 8243372, int(edited[s2]) = 1 s1 = 6886816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10204046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3226026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2934584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3227125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3227125, s2 = 9395834, int(edited[s2]) = 0 s1 = 3227125, s2 = 9395834, d1 = 80, d2 = 62 Dl.O(d1) = 101620544,101620545 Dl.O(d2) = 16563802,11546004,7681559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3227125, s2 = 9395834, dlinesl.size( ) = 2 s1 = 3227125, s2 = 9395834, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3227125, Dl.E( ) = 82, 2.81e-05 seconds used appending s1 = 2935259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2935259, s2 = 1236305, int(edited[s2]) = 0 s1 = 2935259, s2 = 1236305, d1 = 12, d2 = 2 Dl.O(d1) = 87656050 Dl.O(d2) = 31206531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2935259, s2 = 1236305, dlinesl.size( ) = 30 s1 = 2940761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9187956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3228951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7837685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6639187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6639187, s2 = 13578290, int(edited[s2]) = 0 s1 = 6639187, s2 = 13578290, d1 = 21, d2 = 12 Dl.O(d1) = 256843404,258031686,101710414,115756764,129654952,142983811,272175076,177666173,262639870,183499442,263810445 Dl.O(d2) = 183499445,183499444,173722185,162714005,150615991,137619570,123941062,109804614,95602272,81568696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6639187, s2 = 13578290, dlinesl.size( ) = 18 s1 = 3495578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3495578, s2 = 4600879, int(edited[s2]) = 0 s1 = 3495578, s2 = 4600879, d1 = 25, d2 = 37 Dl.O(d1) = 115757377,101711106 Dl.O(d2) = 83977095,71461759,71461760,85033671,98958592,112947674,126801621,140151831,126801624,126801625,140151829,140151825,126801616,126801617,140151827,140151825,140151824,140151832,140151831,126801624,112947676,112947675,126801623,126801627,112947677,260543185,140151838,152845889,152845887,152845888,152845889,152845884,152845883,152845882,152845885,140151836,140151835,272839457,175439685,184983566,193317662,200470639,264476781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3495578, s2 = 4600879, dlinesl.size( ) = 16 s1 = 9436641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9436641, s2 = 7954554, int(edited[s2]) = 0 s1 = 9436641, s2 = 7954554, d1 = 11, d2 = 7 Dl.O(d1) = 129691043,115793560,115793561,107076676,92737175,78674250,65369530,65369531,65369506,53365656,257837165,78674220,92728145,78666630,65362669,53365629,53365628,65369474,78674176,92737077,87775211,74170819,258871679,53359330,42893666,42893664,53359328,65362673,78666634,65369487,65369486,53365673,42899600,33854563,26033182,26033183,33854565,42899604,257836583,53359324,65362666,78666623,78674241,65369524,65369525,78674243,92728122,107065788,92737160,92737162,107076636,107076635,121373210,135222721,121373257,107076687,107076688,121373181,135222695,148389017,135222736,260922892,259712008,78674259,92737185,107076692,121373261,107615620,93213398,79097303,79097302,93213395,107615616,121988212,121988227,135913065,135913059,121988213,121988214,135913060,125719277,111901898,97964538,84090844,84090846,79097305,65741295,53685199,43174748,43174749,52921111,270008291,70510059,84045322,79097336,78042893,78042894,91969703,97916136,104727655,90556023,76689741,63601196,51813654,41534440,41534441,51813656,63601200,60028153,60028152,63600065,76688561,90554745,89592422,89592423,84095063,84095062,84095197,97968728,111905853,100321267,270034830,60028147,60028148,60028179,60028178,72764885,86361681,270059900,258166439,48635372,38717583,30138027,30138028,38717585,48635376,60028155,258790031,100321282,114348054,103707975,89592415,89592416,103707977,100321271,100321270,100321303,86361657,84095048,70558839,57857352,57857350,70558835,57857394,46501278,46501277,57857392,70558907,84095143,97968654,111905800,125723174,260346708,125723171,111905797,97968651,84095141,70558905,270277485,111905799,105029884,105029883,100321290,86361643,72764857,60028163,60028162,72764854,86361640,100321239,89714023,75934790,75934791,89714024,97886599,86361692,86361691,76971752,72764852,60028161,48635380,48635379,41101066,41101067,46428453,57783488,60028116,48635352,48635349,60028111,72764803,84017758,84017754,70483779,70483780,84017757,75934814,75934813,89714044,103819949,117967223,125633379,125666246,125666245,260698264,99408199,85467412,85467411,84045441,70510164,57808934,57808935,70510166,84045444,97916258,260481665,111818991,97886614,84017746,70483771,70483772,84017749,97886622,111765700,97916252,84045435,270376370,71882844,84045433,84045432,259525004,83977771,70449790,257669668,38717579,30138024,30138022,38717577,37824260,29259179,21938259,21938257,29259174,37824251,47746275,59144847,71882843,85467402,99408186,111834521,125649740,113409298,113409295,125649710,111834488,97901216,84031303,70496366,70496365,84031302,84031328,84031327,97901246,111834483,105387808,91165610,77247133,77247135,91165614,97901251,97901252,259259453,70496386,70496385,77238946,77238945,91154540,271526471,133467038,125649731,111834512,97901236,84031318,70496383,57795494,57795493,70496379,70419742,57724690,46374456,257391281,70419735,57795502,46440166,36575061,36575062,46440167,57795504,57698117,57698115,64100595,52252005,52252006,269492861,52247514,64094675,57795475,46440137,36575033,28103298,28103299,36575036,46440140,57795478,46440158,36575055,28103311,20927205,255005445,10346926,15019184,20927209,256818673,36491250 Dl.O(d2) = 36749767,34004013,26162321,19462165,19462166,26162327,34004023,43062001,50637044,43062013,34004034,26162330,26162329,33503070,33503069,26162399,19462229,19462226,16745704,16745703,22983213,25303558,25303569,25303567,25779209,25779210,33569325,42586322,52313370,42506054,33507211,25728824,19097131,13634509,13634510,19097133,25728829,26124194,19429786,13902020,9540271,9540273,13902022,19429791,26124203,33962283,43019933,36749775,28254562,21053885,21053887,28254570,36749780,41972921,33029791,33029790,34004043,26162335,19462171,13928030,13928031,19093888,13632006,9334455,9334456,9559852,6272805,3927456,3927458,6272808,9559859,13928072,19462240,15342161,15342162,21312285,28534922,37032864,46909891,52773928,50338758,50338757,61213499,49735102,39716516,31039065,256498215,49735104,61213503,73992290,71183922,58461968,49735121,49735120,61213505,49735105,49735106,61213506,58071775,46699724,36817080,256836337,37099776,28592685,21360712,21360713,28592686,37099778,37099805,37099806,44838853,44838852,46983748,37099749,28592668,28592667,21360735,15382469,15382468,21360734,256858799,28592681,28592682,28592693,31756437,33390666,268614322,46908876,46908875,46983756,44752593,255404198,44752589,35326035,35326036,255035976,27201734,20274665,14546971,10009203,10009204,14546974,20274672,27201744,35326050,44752609,55661137,68058125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9436641, s2 = 7954554, dlinesl.size( ) = 2 s1 = 9436641, s2 = 7954554, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9436641, Dl.E( ) = 16, 2.69e-05 seconds used appending s1 = 10347765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9462732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9462732, s2 = 11448230, int(edited[s2]) = 0 s1 = 9462732, s2 = 11448230, d1 = 15, d2 = 2 Dl.O(d1) = 71158718,269313199,47061338,58436789,59364512,48704657,256438955,22806971,22806972,29904703,38461906,48363590,59746698,51498601,48363592,48363591,38782329,30197826,22806953,22806952,22548655,16372395,16372396,22548657,29904585,22548609,16372358,255477325,22548742,16372452,255477341,29904794,38462004,41284280,32444932,24810275,18321540,18321541,24810280,32444944,41284291,48704635,48704634,38782322,30197818,30197817,38782321,38461874,38461873,48363573,38461871,255917567,16372393,16372394,13005296,255230703,15362999,21336591,28563347,37064983,38461760,38461761,32444923,24810271,24810272,32444926,38461959,29904755,29904756,38461750,38461749,41284287,32444938,32444940,32444929,256598231,38782323,30197822,22806950,22806948,30197819,30197823,30197824,38782327,48704642,41284238,41284239,41284249,41284248,41284334,41231800,32407053,24782452,18301099,12990482,12990483,18301102,24782457,21336594,15363001,15363000,21336592,268611581,40498742,40498740,49091035,39161352,39161351,268676366,24289042,17907516,12686332,8617292,8617293,12686334,17907523,16886443,11815501,11815500,255518955,30563942,30563932,23146816,16886436,16886437,23146819,24522807,32098072,39161397,30563948,30563947,39161350,49091034,60494300,73241196,86854017,100834850,114885168,128781070,142134568,154767267,166473069,177054833,177680440,167182601,155551423,143003226,129675479,115778819,101733693,87761116,258661322,271298492,143003227,261639496,167823084,156229716,143700157,130373575,130373574,143700154 Dl.O(d2) = 178264641,262096396,262372127,178264638,187477912,195495323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9462732, s2 = 11448230, dlinesl.size( ) = 2 s1 = 9462732, s2 = 11448230, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9462732, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 13250331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8415057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659266, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15054667, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3232228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2940687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6796632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2941505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2942745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2943223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2943223, s2 = 13705644, int(edited[s2]) = 0 s1 = 2943223, s2 = 13705644, d1 = 0, d2 = 14 Dl.O(d1) = 87831084 Dl.O(d2) = 167259664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2943223, s2 = 13705644, dlinesl.size( ) = 2 s1 = 2943223, s2 = 13705644, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2943223, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 2943390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8177703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7638161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6769851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13572721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9150708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9150708, s2 = 10359782, int(edited[s2]) = 0 s1 = 9150708, s2 = 10359782, d1 = 74, d2 = 82 Dl.O(d1) = 99969483,260209830,74248388,87853052 Dl.O(d2) = 265243773,222535079,224887754,226930700,265322010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2944341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8036653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8036653, s2 = 11215660, int(edited[s2]) = 0 s1 = 8036653, s2 = 11215660, d1 = 136, d2 = 97 Dl.O(d1) = 31314267,23825188,256014425,258257451,259503853,115883313,129781514,129781515,115883316 Dl.O(d2) = 261733636,114131609,114131608,260016870,86008182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8036653, s2 = 11215660, dlinesl.size( ) = 60 s1 = 9137456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3236576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2111126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7640102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7640102, s2 = 7968130, int(edited[s2]) = 0 s1 = 7640102, s2 = 7968130, d1 = 18, d2 = 14 Dl.O(d1) = 270494701,50025552,258258883,87882709,260120129 Dl.O(d2) = 270517646,9746896,267869449,2409302,2409303,4020791,4020547,2409191,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041816,10041815,13010553,13010552,10042387,10042386,14594497,20335747,20334894,17262455,17262456,20335807,14594545,14594543,19644741,14594525,14594524,16141801,16142085,11214043,11214044,13702717,9385156,6411750,4022365,4022363,6411741,9751436,14185128,19787951,26593218,256720791,26603948,26603949,23750598,17424942,12281620,8294405,8294406,12281621,17424944,23750600,30426031,267972428,11733031,11733033,16780635,23021118,30426039,39014700,39014686,30426015,268398450,48937741,40314220,40314221,50340001,59255251,47858834,37939412,29373229,29373230,22049873,22049875,29380221,26609219,19801520,14183671,14183672,19801523,22050264,19199637,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,22061364,29391829,37778368,29217531,29217532,37778371,30697993,23282450,17023252,11938274,7989784,7989783,256475713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7640102, s2 = 7968130, dlinesl.size( ) = 14 s1 = 6809472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6809472, s2 = 5343215, int(edited[s2]) = 0 s1 = 6809472, s2 = 5343215, d1 = 18, d2 = 33 Dl.O(d1) = 258744160 Dl.O(d2) = 215203522,211047635,211047634,215203525,218626782,215203527,274107446,215203520,211047630,205962150,205962151,211047631,215203521,211047640,211047637,205962155,199811595,192535526,192535528,199811598,205962159,211047637,205962155,199811595,264447207,215203523,215203522,215203526,215203525,218626782,215203527,274107446,215203520,211047632,205962152,199811594,199811593,205962151,211047631,215203521,215203528,218626785,221507836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6809472, s2 = 5343215, dlinesl.size( ) = 2 s1 = 6809472, s2 = 5343215, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6809472, Dl.E( ) = 34, 2.79e-05 seconds used appending s1 = 178790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3237330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3238314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15997535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7726455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7005768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6716553, s2 = 10346215, int(edited[s2]) = 0 s1 = 6716553, s2 = 10346215, d1 = 52, d2 = 64 Dl.O(d1) = 257654631,74341496,87943973 Dl.O(d2) = 259130546,17828267,254680242,22606543,22606540,29971617,255724646,268811704,78056168,91981638,86085190,72487869,256480414,38469656,38469655,33520644,33520643,42520864,255503818,18848207,13428970,13428969,13429638,9181892,254444329,3758762,6009657,9181889,13429634,13428686,9181330,6009348,6009351,9181205,9181206,13428467,18846559,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,16829985,23082599,255294350,30670284,39266079,40179427,31494297,23996864,21421300,15430325,15430324,19364566,13851200,9502032,9502033,12482407,12482406,17653016,14463456,14463455,9959626,9959627,14475234,20161088,20159548,14462229,9949894,6539336,4097051,4097050,6539330,9949876,254473062,14474992,20174708,27069598,259165399,61665508,50180150,40155116,256026089,12447147,254598935,3338569,1963313,1963316,3338573,5431009,4939082,2980443,1730167,983580,983581,983602,983603,1730208,1730120,983556,983557,1730122,2980364,4938953,2980502,2980503,4939174,7789783,11380026,7789691,7789690,11681606,11306478,7506653,4939198,2980511,2980509,4939190,4939047,2980424,2980426,4744833,2859603,1659688,944403,944402,1659684,2859596,4744819,7506261,11305971,16261472,258141047,256844648,36924417,28425796,21202310 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343158, s2 = 15287646, int(edited[s2]) = 0 s1 = 10343158, s2 = 15287646, d1 = 62, d2 = 59 Dl.O(d1) = 7658683,9079486,9079485,13297619,16525756,16525754,19380514,20344422,254202736,22731054,18704517,18704516,22730367,19149959,19149958,20823976,14925880,10263625,10263622,14925869,20823968,20869151,20869152,17847143,12638458,8580911,5575193,5575194,8580912,254709348,24217577,22870791,20348097,20348098,16515610,11509938,11509939,16515613,15887598,11269321,7480835,254574329,1855710,1059143,595590,595592,1059147,1855720,3169673,4373603,4373601,4450847,4450846,7069259,6968037,6968000,4377597,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9982879,14507698,15288971,10554254,6960981,6960982,10554258,10697471,10566362,6969296,6969295,10566360,12062317,17158913,17152636,12056074,8105797,8105796,6942771,4363264,4363263,6942768,10527049,12405374,12405375,17577183,23918830,31392362,39045045,39045046,35121165,256748007,256525042 Dl.O(d2) = 6066680,254928103,11244826,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17380687,12247789,12247787,16168242,16168241,17403116,20971571,15061341,10386169,10386170,15061345,15141109,17565359,17882993,17378205,17378204,23700428,17407933,12270064,12270065,17410700,23603855,17290928,17290929,23603823,28461712,22878235,22878231,29455494,26733581,19898567,14254474,14254472,17379665,12247106,12247108,12264251,8403507,8403503,12264679,12264677,8282552,8282477,8282480,8282635,12264869,16177634,12262512,8320375,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281311,12262687,12488253,8458448,8458445,12263212,17401379,21256535,15292079,15292081,12265169,8282837,8282836,8283333,10427775,6875107,6875108,10427778,13533345,17404294,23728196,21047549,15118190,10427859,10427857,15118248,20971714,24891129,31218310,39895276,256487690,59449362,48057916,48057915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343158, s2 = 15287646, dlinesl.size( ) = 34 s1 = 7058720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8234464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9424944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8366121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8313637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2952318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2953747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2953747, s2 = 14181731, int(edited[s2]) = 0 s1 = 2953747, s2 = 14181731, d1 = 12, d2 = 27 Dl.O(d1) = 88070404 Dl.O(d2) = 1051785,1051786,1843146,3150365,3150047,1842932,1051678,1051677,1838502,1049196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2953747, s2 = 14181731, dlinesl.size( ) = 2 s1 = 2953747, s2 = 14181731, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2953747, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 3750204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3750204, s2 = 9806924, int(edited[s2]) = 0 s1 = 3750204, s2 = 9806924, d1 = 146, d2 = 144 Dl.O(d1) = 130031638,260134462,102064163 Dl.O(d2) = 72502402,59768081,48385289,48385288,40809460,32049297,255607701,14427620,9924475,6522702,6522703,9924479,14427631,15419287,12857043,9716268,9716269,14122877,16781900,23022887,22255806,22254821,22254823,29604709,22254936,16116239,11194833,7427986,4693729,2828113,1640865,933050,933051,1640875,2828135,4693772,7428071,7428056,7428057,11194576,7427844,7427843,11194571,16115754,11625765,255120597,22886912,21035910,15109556,15109554,18062293,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,15989282,15989280,22098208,24309999,21863279,268078647,7238868,4563599,4563600,7238869,10939922,15790421,16468459,11474401,11474403,16468466,18995968,19144126,21283523,15320080,10581437,10581435,13413926,9304578,9304579,9320340,6105365,6105366,3829526,2294312,1331168,760132,760129,1331153,2294280,3829458,6120666,6094717,6094718,6113807,6113810,8611985,12680135,9336548,9336551,13634819,16384867,13646433,9344486,9344489,6123604,6123603,8565501,5561745,3473845,3473846,5597346,8611975,12680110,13624285,13624287,10402218,10402217,15081031,10484557,10484558,13589864,13588677,9304435,6094867,3813308,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688034,1688032,2909716,4828544,7632077,11474442,16468518,15318775,13204431,9001440,9001441,13204434,18580993,25134759,32840029,25649654,25649653,25764497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3750204, s2 = 9806924, dlinesl.size( ) = 2 s1 = 3750204, s2 = 9806924, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3750204, Dl.E( ) = 150, 6.01e-05 seconds used appending s1 = 8146735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13485389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3245976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3245976, s2 = 16046702, int(edited[s2]) = 0 s1 = 3245976, s2 = 16046702, d1 = 3, d2 = 11 Dl.O(d1) = 102094306 Dl.O(d2) = 50235269,40214924,40214923,255146138,88107627,102094305,116151434,115848119,101801969,101801968,115848122,129747214,143076825,155626134,260733670,177749158,187023910,195103802,202017106,207831642,212624026,264293026,224880671,226923988,225824890,223648127,221135944,218201061,218201060,264516926,210459270,210459269,264233184,198978224,191547594,182901619,173001404,161834996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3245976, s2 = 16046702, dlinesl.size( ) = 2 s1 = 3245976, s2 = 16046702, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3245976, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 10345423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345423, s2 = 7186324, int(edited[s2]) = 0 s1 = 10345423, s2 = 7186324, d1 = 20, d2 = 24 Dl.O(d1) = 258027464,28351070,36848504,46731482,255017734,17679274,268259645,258275713,88110028 Dl.O(d2) = 259898170,139503730,139503729,139503728,263733695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345423, s2 = 7186324, dlinesl.size( ) = 2 s1 = 10345423, s2 = 7186324, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10345423, Dl.E( ) = 26, 5.96e-06 seconds used appending s1 = 8367089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8367089, s2 = 14163479, int(edited[s2]) = 0 s1 = 8367089, s2 = 14163479, d1 = 0, d2 = 21 Dl.O(d1) = 47764971,47764972,59163872,71902009,85487064,99428595,88115665,88115666 Dl.O(d2) = 40224219,31537774,31537775,40224221,40224230,31537781,31537782,40224231,49211444,256474891,23271799,255141067,7977625,5076911,5076910,7977623,11923554,15360175,10612105,7002475,4401134,2637598,2637599,4401138,7002485,10612112,13730747,10608705,10608704,7016293,4411739,4411738,7016287,7043562,7043563,8471928,8471609,8471611,8755487,12874406,17682641,12505317,8471838,5476117,5475831,5475828,8471342,8471341,8471296,5475798,3369582,1982815,1132542,1132540,1132506,1132505,1982738,3369456,3369788,3369787,5476155,8471543,12505753,17681940,12506319,12506318,12504444,8470659,7002456,4401124,4401125,7002458,10612078,15360140,12506335,8471961,5476189,3369808,1982945,1982946,3369816,5476206,7723913,4889034,4889033,7723908,11602712,12504863,17682045,17683744,12506148,8471915,8471914,12505416,8471335,5475821,5475387,3369643,1982853,1132560,635231,635230,1132528,1982788,1982885,3369704,5475987,8471624,255189855,24034945,31537775,40224221,40224230,31537781,31537782,40224231,49211444,256474891,30688049,39285059,49211450,60390177,48992035,257583755,60390175,73131072,85511691,71924301,59185120,59185121,71924303,85511690,99457584,99457586,85511693,85511694,269888662,127337410,140693584,153375315,153375310,259545436,127337409,140693582,153375312,146285153,133057522,133057521,119227317,119227316,105034698,90855707,90855708,88314252,74686796,61893265,256474890,50244426,40224241,40224242,50244428,61723247,61723248,74504486,88115688,89899703,89899702,89899700,76098320,63097126,51403942,50902683,40786093,32029353,24467131,18047257,12793576,11153607,7398088,4673690,2815717,2815716,4673687,7398077,255078283,255891821,38097835,48009343,59397563,72128366,77798793,85713198,85713199,99660901,113673634,113673633,113673632,127544287,120193242,120193241,120193243,105992510,91797859,258713546,84302447,77875483,64686002,64686001,58036576,52771799,42372859,42372858,52771797,46663981,36778769,36778768,46663979,58036577,70750795,84302448,98198649,112161276,98198647,84302445,84302446,98198648,102360759,88364149,74735594,61941291,50449899,50449900,61276809,61276810,74057026,87660905,101628439,115669500,129555909,142874608,155456426,165391214,153610052,261164949,113724682,115027500,100971589,86985775,73373159,259153010,39299138,30701498,23285659,255878472,11023886,7298646,4603560,2770243,1606430,913767,913766,1606427,2770237,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,21204041,19142990,17841270,12634078,12634077,12637718,17846093,19819852,14197274,14197273,15975765,11090164,11090162,15975757,18292776,24248128,22582583,16400146,16400144,12655410,12655404,254786014,14089009,19655872,26390203,34266822,34273177,37136053,28623334,28623332,23601046,22784459,16657298,11624871,11624872,16657301,12031761,8088680,5182341,3161866,1850966,1850965,3161861,5181314,5181312,7029080,5181100,3161260,2522032,2522033,2522022,2522023,4218241,2521987,1453338,1453339,2521992,4218255,6732881,10247390,12034627,10703799,7071606,4452267,4452264,7071595,9689701,12557781,12557782,9693818,9693819,14094066,14096193,14096194,19665091,26398968,29979738,38548704,36810952,36810953,29276000,21952258,15861484,15861483,17329806,17329811,12204767,12204765,12724750,12724754,17118860,12030007,8087581,8087582,8090407,8089126,8089127,8089108,8089110,11496150,16398562,16398561,22581055,29944166,30817948,23388618,254800588,31608907,31608906,39427379,30823121,23395195,17123400,17123401,23395198,254549386,23178473,16913584,11836862,11836863,16913585,23178474,30597594,39194656,269368135,86879965,100860276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8367089, s2 = 14163479, dlinesl.size( ) = 18 s1 = 3246424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3246424, s2 = 9470725, int(edited[s2]) = 0 s1 = 3246424, s2 = 9470725, d1 = 11, d2 = 0 Dl.O(d1) = 102103187,88116710,88116709 Dl.O(d2) = 13193207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3246424, s2 = 9470725, dlinesl.size( ) = 8 s1 = 8328772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8328772, s2 = 11658247, int(edited[s2]) = 0 s1 = 8328772, s2 = 11658247, d1 = 7, d2 = 5 Dl.O(d1) = 257088273,49373575,39445162,30840825,30840824,39445160,49373570,49373571,60775157,73523428,84414054,98323726,98323727,98323728,85488002,85488003,99429600,113431591,127290299,140636190,153315109,165126246,261692420,152641787,139935668,126572085,112708290,112708289,100092722,100092721,114127549,128017573,128017574,141386830,142523343,260314670,115216998,112661705,98665984,84736565,71166577,58444271,47067909,256069800,21413142,21413143,28656872,37175205,47067916,47142461,37237327,37237328,30382491,22980534,16743429,11698818,254285116,22980537,23813889,17603161,12425220,12425221,13259298,9047095,9047096,13259299,18647417,22695982,21427955,15435276,10670779,7047694,7047693,10670778,15435273,21427951,28676204,28634100,28634101,37148293,47037367,58409983,257435984,98616868,88125381,88125382,102113214,116170815,120838431,115856265,101810089,87836395,74231709,74231708,87836392,101810085,115856259,129755440,143085405,155634743,167263682,164391607,152527888,139810488,126437146,112568019,98574370,84651337 Dl.O(d2) = 71088861,81136311,67669956,55330239,44484191,35107267,27021481,27021480,256592852,20129927,20129060,14437662,14437661,20130259,27021904,35107829,44484845,55330889,67670577,81136792,81134178,67667609,67667610,59754079,59754080,59754077,59754078,49421183,39491419,255987397,17175964,267991591,5202709,254260355,1060427,1060428,1858158,3174169,5202713,8120900,12076684,17176003,23453267,29288655,21962313,15868885,10998580,10998581,9318022,6103840,6103844,9317964,6103813,6103814,9317968,13607948,19061723,14231365,14231366,19863788,26682036,34675643,43950468,43950465,43950466,54694240,66953084,80382668,66953080,54694235,54694234,66953078,66953082,66953081,80382671,94441455,94441460,108733699,94441452,94441451,108733697,123001208,136830457,149938860,136802758,136802757,141444232,128078933,128078934,128078935,128078932,128078931,141444230,154115057,154115056,154115055,154115054,165881561,164045024,152166832,139442089,139442088,152166831,164045021,174862970,165924556,154163916,141498384,128137210,114250710,114250709,128137209,128137208,128137206,114250705,100216805,86249644,72648219,72648220,86249645,100216806,114250704,259902008,105746000,91522373,91522374,91522376,91522375,105746002,271764540,119980648,270284302,91522377,105746004,105746006,91522381,77591473,77591472,84615606,71051454,71051453,84615604,71051460,58335568,58335567,71051458,58335566,46967604,37086186,28581522,21351927,21351928,28581523,37086188,46967598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8328772, s2 = 11658247, dlinesl.size( ) = 2 s1 = 8328772, s2 = 11658247, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8328772, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9220158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9220158, s2 = 13465692, int(edited[s2]) = 0 s1 = 9220158, s2 = 13465692, d1 = 22, d2 = 15 Dl.O(d1) = 130116892,116205668,102144383,88153353 Dl.O(d2) = 42714528,50569226,40532559,31834764,31834765,40489726,50525285,62017017,74813370,62061705,50569213,40532544,40532545,50569214,54674200,65540913,53516923,43038706,43038705,46350736,46350737,57699905,55672810,44763485,35337109,35337108,44763483,55672815,57713358,46363946,36505739,28042302,28042301,36505736,256675968,55672822,257233352,43038708,43038707,47974141,38062056,35337140,35337141,44763528,55672854,55672874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9220158, s2 = 13465692, dlinesl.size( ) = 2 s1 = 9220158, s2 = 13465692, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9220158, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 9497919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9497919, s2 = 1951076, int(edited[s2]) = 0 s1 = 9497919, s2 = 1951076, d1 = 18, d2 = 16 Dl.O(d1) = 63113973,76119524,258160824,116206953 Dl.O(d2) = 50275833,40254501,40254500,50275832,61756019,53707970,43196274,255622892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9497919, s2 = 1951076, dlinesl.size( ) = 26 s1 = 2957238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9670022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8606166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6772484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6772484, s2 = 14088988, int(edited[s2]) = 0 s1 = 6772484, s2 = 14088988, d1 = 16, d2 = 25 Dl.O(d1) = 258280219 Dl.O(d2) = 85051138,258248324,37459561,256883677,58750978,47365009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6772484, s2 = 14088988, dlinesl.size( ) = 34 s1 = 9138544, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9523852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8153084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658062, s2 = 8598459, int(edited[s2]) = 0 s1 = 11658062, s2 = 8598459, d1 = 7, d2 = 22 Dl.O(d1) = 101705596,115751936,129650042,142978671,258975266,143358871,257735516,102058909,102058910,116116641,116230901,116230900,102170443,88180173,74565746,61782667,50303303,50303304,61782669,74124348,87730957,87730956,100090986,86123491 Dl.O(d2) = 261707584,140816330,127455965,127455964,121409883,107111190,107111191,121409886,135261217,148426958,160686965,273018995,148426958,160686964,152847059,262133140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658062, s2 = 8598459, dlinesl.size( ) = 12 s1 = 3249129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6772707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6772707, s2 = 6983233, int(edited[s2]) = 0 s1 = 6772707, s2 = 6983233, d1 = 43, d2 = 67 Dl.O(d1) = 258282417 Dl.O(d2) = 260950752,141121772,127764729,127632116,113763519,99749204,85795358,256625528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6772707, s2 = 6983233, dlinesl.size( ) = 2 s1 = 6772707, s2 = 6983233, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6772707, Dl.E( ) = 108, 3.6e-05 seconds used appending s1 = 8418473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1049823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15945102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15945102, s2 = 9694104, int(edited[s2]) = 0 s1 = 15945102, s2 = 9694104, d1 = 0, d2 = 0 Dl.O(d1) = 195277990,202164039,207954030,212727792,216440048,212509173,207701737,201872643,263612671,177563728,167057763,155417772,142836511,129519488,115634339,101593828,87626581,74022556,74022555,74022557,258860871,61242096,49763182,39744642,31066537,31066538,39744644,49763183,61242097,74022559,87626583,101593829,115634341,129519491,142836512,155417773,167057764,177563729,181122653,171018935,159705167,147358438,134148158,261822960,106121229,260109860,78007255,64813713,52892635,42486188,33490272,25715166,19086840,15900228,11022788,7297852,4603044,2769912,1606185,1606186,2769919,4603060,7297879,11022827,8116452,5199841,3172309,3172310,5199844,6942973,4363367,267881265,2614878,2614879,4363372,6942980,10527362,15258746,21228915,21257771,15308433,13506744,10558110,10558099,10558100,15293414,21257764,18971612,18956444,15773355,10925597,10700597,10700596,10902269,10902267,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,5193824,8106468,12056964,9252881,254595422,18957404,25567702,30857915,30857916,33416469,25648649,19030556,13583773,9301074,6092759,6092750,3812028,3812027,6092749,9271375,13543118,18979477,13986859,9608431,9608430,13986857,19534241,26251983,34116556,43203671,53716018,65773429,259100763,107647320,122021758,135949275,149173289,262539923,263404867,273441066,202273620,195403689,187368769,178137450,167679657,156076127,143542560,130216541,116381647,102291953,88298706,268737996,61881061,50391343,40356355,31661270,24150665,24150666,268291328,23921412,17580153,12408143,8386068,5411507,3326525,1956326,1117476,1117480,1956336,3326546,4584538,2758237,2758235,3172391,3172394,5200003,8116741,7844338,7844337,10541338,8387359,5412353,5412349,8387345,12409827,17581948,21261927,20827801,20827800,23910671,31398070,23905190,17561271,17561272,17389953,17389952,12383694,8368185,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983227,7902284,7902286,11824580,12385499,17556124,17549846,16801317,14543450,11244824,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295680,13507911,12256757,12256759,9245459,9245460,12261852,12261854,17399438,17572165,17582898,23923973,31413521,25565388,255267955,9250002,9250001,6844654,4294803,254487799,10385964,268069271,10563505,15299034,21262034,28479923,30212407,22820457,16600779,11577974,254682550,19846876,19846875,19846883,26661566,34653114,43926418,54668879,66925433,72729814,59992380,48600510,38684401,38684400,30818091,23391686,17119812,12030719,8088005,8088006,12030723,17119822,22873202,16645117,16645116,17317225,23633211,31119779,31636552,24129457,24129455,22779995,16564643,11546742,7682192,4860928,4860929,7682196,11546750,16564653,22780006,24106309,17747519,12557549,12557550,17747520,267810000,31608641,40291696,50312521,61792577,74576748,268741608,116246397,122961050,108695640,94408452,80354132,80354131,94408451 Dl.O(d2) = 195277990,202164039,207954030,212727792,216440048,212509173,207701737,201872643,263612671,177563728,167057763,155417772,142836511,129519488,115634339,101593828,87626581,74022556,74022555,74022557,258860871,61242096,49763182,39744642,31066537,31066538,39744644,49763183,61242097,74022559,87626583,101593829,115634341,129519491,142836512,155417773,167057764,177563729,181122653,171018935,159705167,147358438,134148158,261822960,106121229,260109860,78007255,64813713,52892635,42486188,33490272,25715166,19086840,15900228,11022788,7297852,4603044,2769912,1606185,1606186,2769919,4603060,7297879,11022827,8116452,5199841,3172309,3172310,5199844,6942973,4363367,267881265,2614878,2614879,4363372,6942980,10527362,15258746,21228915,21257771,15308433,13506744,10558110,10558099,10558100,15293414,21257764,18971612,18956444,15773355,10925597,10700597,10700596,10902269,10902267,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,5193824,8106468,12056964,9252881,254595422,18957404,25567702,30857915,30857916,33416469,25648649,19030556,13583773,9301074,6092759,6092750,3812028,3812027,6092749,9271375,13543118,18979477,13986859,9608431,9608430,13986857,19534241,26251983,34116556,43203671,53716018,65773429,259100763,107647320,122021758,135949275,149173289,262539923,263404867,273441066,202273620,195403689,187368769,178137450,167679657,156076127,143542560,130216541,116381647,102291953,88298706,268737996,61881061,50391343,40356355,31661270,24150665,24150666,268291328,23921412,17580153,12408143,8386068,5411507,3326525,1956326,1117476,1117480,1956336,3326546,4584538,2758237,2758235,3172391,3172394,5200003,8116741,7844338,7844337,10541338,8387359,5412353,5412349,8387345,12409827,17581948,21261927,20827801,20827800,23910671,31398070,23905190,17561271,17561272,17389953,17389952,12383694,8368185,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983227,7902284,7902286,11824580,12385499,17556124,17549846,16801317,14543450,11244824,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295680,13507911,12256757,12256759,9245459,9245460,12261852,12261854,17399438,17572165,17582898,23923973,31413521,25565388,255267955,9250002,9250001,6844654,4294803,254487799,10385964,268069271,10563505,15299034,21262034,28479923,30212407,22820457,16600779,11577974,254682550,19846876,19846875,19846883,26661566,34653114,43926418,54668879,66925433,72729814,59992380,48600510,38684401,38684400,30818091,23391686,17119812,12030719,8088005,8088006,12030723,17119822,22873202,16645117,16645116,17317225,23633211,31119779,31636552,24129457,24129455,22779995,16564643,11546742,7682192,4860928,4860929,7682196,11546750,16564653,22780006,24106309,17747519,12557549,12557550,17747520,267810000,31608641,40291696,50312521,61792577,74576748,268741608,116246397,122961050,108695640,94408452,80354132,80354131,94408451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15945102, s2 = 9694104, dlinesl.size( ) = 2 s1 = 15945102, s2 = 9694104, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 15945102, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 2961251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3251846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7636257, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8315793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8315793, s2 = 7148665, int(edited[s2]) = 0 s1 = 8315793, s2 = 7148665, d1 = 10, d2 = 99 Dl.O(d1) = 61904337 Dl.O(d2) = 201868359,263961602,263225554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8315793, s2 = 7148665, dlinesl.size( ) = 2 s1 = 8315793, s2 = 7148665, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8315793, Dl.E( ) = 100, 3.39e-05 seconds used appending s1 = 10350963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13634751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13386361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13738095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3253620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13743009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13743009, s2 = 2963951, int(edited[s2]) = 0 s1 = 13743009, s2 = 2963951, d1 = 1, d2 = 1 Dl.O(d1) = 22949905,16713147,11671447,11671446,16713146,22949903,30351549,38937425,257576589,72984482,86581372,100542031,114572222,128455505,141807673,154453835,166189033,176808423,186202788,263933639,264229430,212185719,208089682,202319974,195455951,187429844,178206448,167754254,156152823,143617975,130289979,258149904,88362960,74734181,61939763,50448417,40414094,31722275,30285115,22887282,16658534,15475935,254787614,28735495,37267565,47173615,58562599,71294631,84868784,98796981,112789064,126647000,140001743,152698664,164539295,175305912,184860618,193204077,200365570,206415436,211419350,215509768,218889802,221743567,224192396,224296488,221862564,219026275,263363174,206638151,200624212,193494820,260894108,164885863,153048326,140350524,257813682,99147730,85225242,71659723,58938255,58938256,255683414,29103581,268029400,20964156,15054444,15054442,20964152,28142465,28690886,24469455,21458065,19463950,13929459,13929460,9684506,9684505,14080062,255414002,10800560,9775337,6427421,4032452,4032451,6427416,9775324,14218993,19847042,256202841,43926661,54669108,66925649,72670559,59930749,48537605,38622721,30048894,22673402,17850215,15151800,15151801,21093948,15829616,15829615,17850182,12641344,8583392,8583393,12641352,17850192,24220586,29454566,30041657,22666371,22666361,22666362,26206947,22666410,16471220,11476287,11476285,16471213,22666393,17683014,12505583,12505584,17683019,19216785,13726383,13726385,11476306,11476307,16471259,255540533,30247153,30247152,256550141,49747796,39987643,39491188,39491189,46277551,36424867,27966303,20803817,17850220,17850219,24220624,31727265,40418555,40418556,50453034,257070546,30031171,26321888,26321887,22656752,22656753,23733487,31217726,39179450,31726936,24220338,17850029,17850028,24220336,256529058,35433814,27301279,24347635,17955735,17955734,17486190,17486191,23822172,17485813,12328871,8328627,8328628,12328875,9582349,6290122,6290120,9582329,9582328,13955574,19496814,26206857,34062435,31217753,31217754,39894936,31298151,31298152,33471548,27213726,256236037,21281631,15318711,10723635,10723634,15506020,21516721,28779704,37315326,257454183,22579830,16397185,16397186,22579833,29943054,38506942,30538473,23119590,255962781,39137505,49067792,60471237,261781955 Dl.O(d2) = 22949905,16713147,11671447,11671446,16713146,22949903,30351549,38937425,257576589,72984482,86581372,100542031,114572222,128455505,141807673,154453835,166189033,176808423,186202788,263933639,264229430,212185719,208089682,202319974,195455951,187429844,178206448,167754254,156152823,143617975,130289979,258149904,88362960,74734181,61939763,50448417,40414094,31722275,30285115,22887282,16658534,15475935,254787614,28735495,37267565,47173615,58562599,71294631,84868784,98796981,112789064,126647000,140001743,152698664,164539295,175305912,184860618,193204077,200365570,206415436,211419350,215509768,218889802,221743567,224192396,224296488,221862564,219026275,263363174,206638151,200624212,193494820,260894108,164885863,153048326,140350524,257813682,99147730,85225242,71659723,58938255,58938256,255683414,29103581,268029400,20964156,15054444,15054442,20964152,28142465,28690886,24469455,21458065,19463950,13929459,13929460,9684506,9684505,14080062,255414002,10800560,9775337,6427421,4032452,4032451,6427416,9775324,14218993,19847042,256202841,43926661,54669108,66925649,72670559,59930749,48537605,38622721,30048894,22673402,17850215,15151800,15151801,21093948,15829616,15829615,17850182,12641344,8583392,8583393,12641352,17850192,24220586,29454566,30041657,22666371,22666361,22666362,26206947,22666410,16471220,11476287,11476285,16471213,22666393,17683014,12505583,12505584,17683019,19216785,13726383,13726385,11476306,11476307,16471259,255540533,30247153,30247152,256550141,49747796,39987643,39491188,39491189,46277551,36424867,27966303,20803817,17850220,17850219,24220624,31727265,40418555,40418556,50453034,257070546,30031171,26321888,26321887,22656752,22656753,23733487,31217726,39179450,31726936,24220338,17850029,17850028,24220336,256529058,35433814,27301279,24347635,17955735,17955734,17486190,17486191,23822172,17485813,12328871,8328627,8328628,12328875,9582349,6290122,6290120,9582329,9582328,13955574,19496814,26206857,34062435,31217753,31217754,39894936,31298151,31298152,33471548,27213726,256236037,21281631,15318711,10723635,10723634,15506020,21516721,28779704,37315326,257454183,22579830,16397185,16397186,22579833,29943054,38506942,30538473,23119590,255962781,39137505,49067792,60471237,261781955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13743009, s2 = 2963951, dlinesl.size( ) = 2 s1 = 13743009, s2 = 2963951, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13743009, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8001827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8001827, s2 = 3254302, int(edited[s2]) = 0 s1 = 8001827, s2 = 3254302, d1 = 7, d2 = 4 Dl.O(d1) = 9873155,6485935,6485934,9873153,14366981,20052824,26938880,35019827,36882903,35019610,26938648,21508879,21508878,23020313,16779947,11732519,7833170,7833171,6470068,6470069,9850367,9850355,6470060,4054353,4054354,6470063,9850360,14338342,20019413,16458624,11467729,7627961,4826167,2908382,2908383,254079290,11467734,16458631,22649971,17827477,17827478,17799846,12600041,12600042,12543623,12543624,12601306,12601307,17801479,24168982,31677480,40371234,40274505,31588524,31588523,32774890,25077518,18534422,17743135,12554352,12554353,17743136,24101643,18863557,13440616,13440617,18863559,25463697,33211265,31689891,24181262,24083517,24083519,26445195,19706153,14129650,9720599,254464783,2404837,2404804,2404805,4012701,6394379,9720373,14129270,12523956,8485870,8485869,12523950,17705553,19703631,19703632,22844227,16621067,11593658,7717490,7717489,11593655,16621062,22844221,18781436,15735266,10897977,7207812,4541567,4541568,7207814,10897983,15735274,16173384,11240810,254365388,4714599,7460949,8969480,13159160,9720721,9720718,14129851,11238745,7459380,4713557,4713561,7459396,11238767,14127100,14128521,11148552,7394427,7394428,10899056,7209366,7209365,10898993,10898994,15736894,13418218,13418219,18833049,20053346,14367571,9873734,9873735,14367575,20053354,254842488,18833766,13418768,9174750,9174749,13418766,18833762,25427180,29525561,22183160,22183159,29525559,268403330,34317485,33169753,256126167,18833961,13418911,13418910,256641623,257786615,77516121,89466545,75701651,62754747,51123539,51123538,62754745,75701647,84432054,84432053,87644280,101611230,101611227,87644277,74041012,61261338,49782554,39763257,31085082,255547713,12167455,12167456,15748030,10906864,10906863,15196519,10481726,10481725,15196514,21150712,28367226,28369273,21152424,15197602,10482311,6911055,4340445,4340446,6911057,10482317,15197614,17427296,23753253,31236413,36865405,44531306,269306353,269374754,21149419,21149420,21152400,28369241,28370907,21153949,255812097,15254644,15254645,21224568,28451341,33737936,25931108,19269090,19269095,23220298,16950236,16950233,23223415,28368538,28368539,21224458,15254545,10524069,6940749,6940750,10524072,15254547,15254734,10524200,6940808,6940805,8737266,8737263,12848550,18120071,24558151,23223125,23223124,30645429,24936572,18424410,18135738,12860119,12860118,18135735,24223078,31731227,40425001,50462405,61958212,74758239,88392136 Dl.O(d2) = 102392644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2250497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2651503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2965576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2965818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3255528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8368993, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3255605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3255605, s2 = 8684085, int(edited[s2]) = 0 s1 = 3255605, s2 = 8684085, d1 = 14, d2 = 31 Dl.O(d1) = 102421578 Dl.O(d2) = 263041219,263811419,263986351,187334977,262724594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3255605, s2 = 8684085, dlinesl.size( ) = 20 s1 = 2966140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6526228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8534310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6925698, s2 = 1768235, int(edited[s2]) = 0 s1 = 6925698, s2 = 1768235, d1 = 25, d2 = 3 Dl.O(d1) = 260158617,259544320,112233242 Dl.O(d2) = 46699566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6925698, s2 = 1768235, dlinesl.size( ) = 12 s1 = 346747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10179302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10179302, s2 = 10186985, int(edited[s2]) = 0 s1 = 10179302, s2 = 10186985, d1 = 27, d2 = 22 Dl.O(d1) = 66897286,54639824,54639823,66897284,80325195,94380459,257283436,80325193,80325192,80325194,80325195,94380460,257881872,62069381,50577094,40540853,40540852,50577092,258300423,88503929,102512012,116615869,108667687,94380465,80325197,80325198,94380466,88503932,88503933,102512017,116615877,130460398,143788638,258501142,108667688 Dl.O(d2) = 122931948,108667693,94380471,80325200,66897286,54639824,54639823,66897284,80325195,94380459,257283436,94380458,108667681,122931941,271143938,259466092,258218858,50577092,269889623,88503928,102512011,112636541,98639752,84709492,71139765,58418341,47043792,37153339,37153340,47043795,58418348,59707723,72444093,60535473,49135328,39208387,30612206,30612205,39208386,49135327,60535472,258825163,73310012,60566829,60566830,57965666,46589263,36702487,36702488,46589266,46589316,46589274,46589273,57965682,70683876,67642840,55304138,55304139,67642843,55304140,55304141,270006247,75564499,62625711,51002917,40868037,268460301,18089636,12824633,12824632,18089635,24521148,32096275,40868032,51002910,62625702,75564490,89322358,103415521,117544480,114816848,100764793,86784141,82003303,68478791,56020691,45044216,45044217,254315276,33294071,33294070,26950993,20066409,20066410,26950996,35031418,30058361,255054996,13733034,9408101,6164050,6164051,9408104,254686556,17046290,11958409,11958410,17046291,23307713,23305061,17044208,17044207,21825752,29132844,35030557,38631439,38631438,48545997,49728063,39709499,268174134,26953494,26953493,255096162,22802343,22806534,22806532,30197378,38781857,268077060,20432700,20432701,27402778,27402775,35578149,27797154,20690770,20690767,27666853,256260173,45932938,257753538,35488257,44946208,55895410,56055931,67980391,55599611,44708586,44708587,268798220,27807457,20697165,14838983,10205173,10075109,6618018,6618019,6726376,4214029,4214028,4214368,2519997,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536020,35782389,35854781,35734553,27507239,20501951,20501947,27507226,259828893,261581281 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3259449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3259449, s2 = 9689253, int(edited[s2]) = 0 s1 = 3259449, s2 = 9689253, d1 = 26, d2 = 41 Dl.O(d1) = 102548427 Dl.O(d2) = 5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669682,5877489,5877487,9003170,255244905,25140289,32846182,41766611,52080165,63898697,77009625,90888811,105068046,119260764,133090538,140338164,126983830,113125530,99135062,85212491,71646928,58925314,58925313,58925306,58925305,58925316,47543641,47543640,58925308,58925307,60555843,60555845,58925310,47543634,37637972,37637973,47543636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3259449, s2 = 9689253, dlinesl.size( ) = 2 s1 = 3259449, s2 = 9689253, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3259449, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 8342957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4849460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4849460, s2 = 15547702, int(edited[s2]) = 0 s1 = 4849460, s2 = 15547702, d1 = 42, d2 = 47 Dl.O(d1) = 199745896,192459676,263063021,151613739,138912148,125578325,111769075,97843546,83981581,258005201,57758613,57758614,46407814,36546283,28078162,20905679,15000756,10395387,10395386,10394199,10394202,11531341,9082614,6804770,4267615,4267612,6768398,10295329,10393303,6850489,6850487,5923108,5923109,9059241,6828954,6828953,10266697,6746332,6746305,6746304,10266666,14929942,255174267,9086300,5943496,254296691,2217738,1286788,1286790,2217748,3702721,5921507,9057194,12336175,8333822,8333823,7777938,4929364,2973352,1725500,1725501,2973353,4929365,6818251,9058225,13273322,10360688,6824306,4281162,2559667,1474230,1474227,2559654,4249713,2540599,1463763,1463762,2540596,4249705,6779711,9102882,9102883,13322901,18716067,13322905,13322906,14969604,12662516,12662515,17003574,17977026,24375271,31906607,40620634,50677798,62195741,75016391,88665095 Dl.O(d2) = 264105976,262130599,263063015,262334046,178541769,260710054,131028525,258251570,89042545,89042546,103113684,117230168,131028529,133591629,133591630,133591631,119716810,105477384,268643386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4849460, s2 = 15547702, dlinesl.size( ) = 46 s1 = 9697396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7574180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7574180, s2 = 11082000, int(edited[s2]) = 0 s1 = 7574180, s2 = 11082000, d1 = 77, d2 = 93 Dl.O(d1) = 268269281,89128855 Dl.O(d2) = 262184346,28570954,21342997,15368228,15368231,11187371,7423052,7423054,11187375,16106113,11187528,7423144,4690848,2826493,2826496,4690859,4691486,7424230,11189287,16108852,258748795 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8735856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15942893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9455101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164228, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13489569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13489569, s2 = 11658839, int(edited[s2]) = 0 s1 = 13489569, s2 = 11658839, d1 = 11, d2 = 11 Dl.O(d1) = 124730,226574,254111339,694028,1226788,2126357,3567601,5729844,8796554,12930790,18230478,24700534,32314283,41127490,41127489,43848520,34576640,26589385,26589384,32314278,24700531,18230474,18230475,256028341,24920203,18411733,254900975,5815155,5815154,8911265,13077514,17655468,17655467,23999658,31497084,40181795,50204686,60306104,60306105,51693760,41443513,32576985,256605265,51693761,61687461,74470525,258174287,60117088,72853821,76491165,63443656,51693758,51693757,63443653,76491159,90320397,104468167,105643682,91417547,77486759,77486758,91417555,91417549,91417550,105643685,91417564,91417565,105643699,119882445,133752757,147002865,133752740,119882430,105643688,105643689,119882431,125630892,111816712,97884452,97884451,111816710,260556750,119717552,119717551,133592343,125630908,111816729,97884463,97884464,84645615,84645614,98568224,111816731,111816730,97884470,97884471,111816735,125630910,138969066,148925372,144540303,131319323,117523724,117523725,117523732,117523701,117523702,258553702,89310065,75554594,75554593,270154492,117523714,117523716,103399250,103399249,117523715,131319315,131319338,131319304,117523704,103399243,103399244,117523705,117523708,117523707,123646014,109453567,95199088,81142336,67676531,55337264,256747301,35114491,44491383,55337262,63787220,51971871,41663940,41663939,51971869,63787217,76896976,90775601,104955113,271170280,91248777,91248776,99883518,85928450,85928451,99883520,113901756,127776783,141134120,153807969,261650560,115659875,260261827,105470992,260857723,116223055,130133800,143464760,130133791,130133790,133584738,133584737,130133782,271814520,156003757,156003779,145286625,132049894,132049895,145286627,143464755,130133785,118230209,118230208,129134264,118230215,104071286,89941949,76135990,63130109,63130110,76135991,89941950,101124964,101124965,115202705,115202713,115202709,101619167,87652330,74049169,61269386,49790505,257438330,31092554,23608964,17296510,12175062,8206820,254837175,10905879,15746583,12175090,8206837,8206838,12175092,17296554,23609015,27156594,35255628,31092628,23609047,17296580,17296579,23609031,23609030,20244914,254983665,6569268,6569267,254983663,18886976,25490938,33240601,42201585,52561483,64436588,77605401,91535343,260278695,133856553,147099808,136786913,122956522,108691077,108691076,117999546,103854315,89750271,75971283,62989096,51310578,41127494,32314281,24700533,24700532,32314279,268277569,12930791,255225357,12930793,12930792,8796558,5729846,3567602,3567601,5729844,254893471,18230475,255188091,5463127,5463126,8455776,12484811,17655471,23999664,18411727,18411728,24920195,32576986,41443515,41443513,41443512,51693759,51693762,51693761,61687461,74470524,63443656,51693758,51693757,63443654,76491161,90320399,104468169,118647865,105643678,105643674,91417539,77486746,64322807,64322806,77486745,91417543,259337752,119882426,133752733,133752734,119882444,119882445,133752756,133752740,272373049,146850354,133592344,119717552,105478193,98568228,84645618,71083353,58367154,46996945,46996944,58367152,71083348,84645612,84015704,70481866,70481865,84015702,97884464,98568225,112561313,112561311,112561312,115669837,126430112,129556166,115669833,101628848,101628849,115669835,129556174,142874775,155456543,156938420,144540299,144540300,131319322,131319324,144540305,144540308,131319326,117523726,117523727,117523738,103399269,89310081,89310082,103399270,117523719,103399252,89310067,75554594,62617683,62617682,75554591,89310062,103399244,103399265,89310079,89310080,103399267,117523736,117523737,131319335,137377516,131319306,117523708,103399246,103399245,117523706,131319308,144540294,131319309,123646014,109453567,95199088,81142336,259161971,109453563,104955115,104955116,119151023,132985807,119151033,104955122,90775606,90775605,91248655,105470904,105470891,91248647,91248646,91248641,77328908,77328909,91248642,91248731,77328985,64181644,269982833,91248733,105470986,260857719,109453561,105470988,91248735,77328986,64181646,52331346,41991771,33048284,33048282,257186961,64181640,77328977,91248716,105470963,258156120,88171076,89941951,87126889,73508044,60758886,60758887,73508047,87126894,87126887,87126886,101124965,115202705,101619165,87652328,74049167,74049168,61269388,257438332,31092552,23608963,17296525,17296524,23608977,31092572,39770771,49790523,49790522,61269412,70859239,70859238,74049156,61269378,49790498,39770750,31092547,23608960,23608961,31092548,39770752,257631591,74049163,73251361,73251362,86864548,100845925,114896934 Dl.O(d2) = 124730,226574,254111339,694028,1226788,2126357,3567601,5729844,8796554,12930790,18230478,24700534,32314283,41127490,41127489,43848520,34576640,26589385,26589384,32314278,24700531,18230474,18230475,256028341,24920203,18411733,254900975,5815155,5815154,8911265,13077514,17655468,17655467,23999658,31497084,40181795,50204686,60306104,60306105,51693760,41443513,32576985,256605265,51693761,61687461,74470525,258174287,60117088,72853821,76491165,63443656,51693758,51693757,63443653,76491159,90320397,104468167,105643682,91417547,77486759,77486758,91417555,91417549,91417550,105643685,91417564,91417565,105643699,119882445,133752757,147002865,133752740,119882430,105643688,105643689,119882431,125630892,111816712,97884452,97884451,111816710,260556750,119717552,119717551,133592343,125630908,111816729,97884463,97884464,84645615,84645614,98568224,111816731,111816730,97884470,97884471,111816735,125630910,138969066,148925372,144540303,131319323,117523724,117523725,117523732,117523701,117523702,258553702,89310065,75554594,75554593,270154492,117523714,117523716,103399250,103399249,117523715,131319315,131319338,131319304,117523704,103399243,103399244,117523705,117523708,117523707,123646014,109453567,95199088,81142336,67676531,55337264,256747301,35114491,44491383,55337262,63787220,51971871,41663940,41663939,51971869,63787217,76896976,90775601,104955113,271170280,91248777,91248776,99883518,85928450,85928451,99883520,113901756,127776783,141134120,153807969,261650560,115659875,260261827,105470992,260857723,116223055,130133800,143464760,130133791,130133790,133584738,133584737,130133782,271814520,156003757,156003779,145286625,132049894,132049895,145286627,143464755,130133785,118230209,118230208,129134264,118230215,104071286,89941949,76135990,63130109,63130110,76135991,89941950,101124964,101124965,115202705,115202713,115202709,101619167,87652330,74049169,61269386,49790505,257438330,31092554,23608964,17296510,12175062,8206820,254837175,10905879,15746583,12175090,8206837,8206838,12175092,17296554,23609015,27156594,35255628,31092628,23609047,17296580,17296579,23609031,23609030,20244914,254983665,6569268,6569267,254983663,18886976,25490938,33240601,42201585,52561483,64436588,77605401,91535343,260278695,133856553,147099808,136786913,122956522,108691077,108691076,117999546,103854315,89750271,75971283,62989096,51310578,41127494,32314281,24700533,24700532,32314279,268277569,12930791,255225357,12930793,12930792,8796558,5729846,3567602,3567601,5729844,254893471,18230475,255188091,5463127,5463126,8455776,12484811,17655471,23999664,18411727,18411728,24920195,32576986,41443515,41443513,41443512,51693759,51693762,51693761,61687461,74470524,63443656,51693758,51693757,63443654,76491161,90320399,104468169,118647865,105643678,105643674,91417539,77486746,64322807,64322806,77486745,91417543,259337752,119882426,133752733,133752734,119882444,119882445,133752756,133752740,272373049,146850354,133592344,119717552,105478193,98568228,84645618,71083353,58367154,46996945,46996944,58367152,71083348,84645612,84015704,70481866,70481865,84015702,97884464,98568225,112561313,112561311,112561312,115669837,126430112,129556166,115669833,101628848,101628849,115669835,129556174,142874775,155456543,156938420,144540299,144540300,131319322,131319324,144540305,144540308,131319326,117523726,117523727,117523738,103399269,89310081,89310082,103399270,117523719,103399252,89310067,75554594,62617683,62617682,75554591,89310062,103399244,103399265,89310079,89310080,103399267,117523736,117523737,131319335,137377516,131319306,117523708,103399246,103399245,117523706,131319308,144540294,131319309,123646014,109453567,95199088,81142336,259161971,109453563,104955115,104955116,119151023,132985807,119151033,104955122,90775606,90775605,91248655,105470904,105470891,91248647,91248646,91248641,77328908,77328909,91248642,91248731,77328985,64181644,269982833,91248733,105470986,260857719,109453561,105470988,91248735,77328986,64181646,52331346,41991771,33048284,33048282,257186961,64181640,77328977,91248716,105470963,258156120,88171076,89941951,87126889,73508044,60758886,60758887,73508047,87126894,87126887,87126886,101124965,115202705,101619165,87652328,74049167,74049168,61269388,257438332,31092552,23608963,17296525,17296524,23608977,31092572,39770771,49790523,49790522,61269412,70859239,70859238,74049156,61269378,49790498,39770750,31092547,23608960,23608961,31092548,39770752,257631591,74049163,73251361,73251362,86864548,100845925,114896934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13489569, s2 = 11658839, dlinesl.size( ) = 2 s1 = 13489569, s2 = 11658839, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13489569, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 2977133, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13464851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13464851, s2 = 8230148, int(edited[s2]) = 0 s1 = 13464851, s2 = 8230148, d1 = 5, d2 = 7 Dl.O(d1) = 84360079,84360078,98268385,112247994,103447698,89351925,269862914,257044266,62648068,257626908 Dl.O(d2) = 257920414,67785208,68078977,75590595,85774795,255895304,48050245,46783747,36905976,36905977,46396722,46783749,58151302,258013014,61918745,74712052,257860768,268525438,92493288,106800730,257266152,257416540,74712040,61918758,50428783,40395379,257096489,61918755,72868790,256186112,71078359,256932654,79269195,65907139,65907140,53840580,43316768,257266155,53840572,65907132,60667309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13464851, s2 = 8230148, dlinesl.size( ) = 2 s1 = 13464851, s2 = 8230148, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13464851, Dl.E( ) = 8, 4.77e-06 seconds used appending s1 = 8233731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8233731, s2 = 14098654, int(edited[s2]) = 0 s1 = 8233731, s2 = 14098654, d1 = 1, d2 = 1 Dl.O(d1) = 46933824,256316315,21329495,15357315,10609898,10609897,15357314,21329459,15357293,254730473,4399842,2636640,1522623,1522624,2636641,4399844,7000812,7000795,7000793,10609862,15357270,15357826,10610366,10610286,7001065,7001064,254730509,7001075,10610297,15357858,21330242,28555708,37054743,28554362,21329097,15356996,10609669,7000669,7000670,10609673,15357000,21329100,21330349,21330348,21330168,21330167,21330183,28555640,255646104,46934693,58300824,71016020,258380428,98505552,258380426,103448690,89353041,75591818,62649301,51023302,40886176,32112825,24535820 Dl.O(d2) = 46933824,256316315,21329495,15357315,10609898,10609897,15357314,21329459,15357293,254730473,4399842,2636640,1522623,1522624,2636641,4399844,7000812,7000795,7000793,10609862,15357270,15357826,10610366,10610286,7001065,7001064,254730509,7001075,10610297,15357858,21330242,28555708,37054743,28554362,21329097,15356996,10609669,7000669,7000670,10609673,15357000,21329100,21330349,21330348,21330168,21330167,21330183,28555640,255646104,46934693,58300824,71016020,258380428,98505552,258380426,103448690,89353041,75591818,62649301,51023302,40886176,32112825,24535820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8233731, s2 = 14098654, dlinesl.size( ) = 2 s1 = 8233731, s2 = 14098654, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8233731, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6667958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6667958, s2 = 2977481, int(edited[s2]) = 0 s1 = 6667958, s2 = 2977481, d1 = 41, d2 = 15 Dl.O(d1) = 257126958,103451683 Dl.O(d2) = 89356289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9100735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9100735, s2 = 8868467, int(edited[s2]) = 0 s1 = 9100735, s2 = 8868467, d1 = 42, d2 = 14 Dl.O(d1) = 59543698,72277878,85869285,72277864,59543687,59543676,48156780,48156781,59543678,49019356,49019357,57525026,70192195,83713935,72277834,59543657,59543656,58641142,47248072,47248073,48525114,48525113,48156768,38247585,38247584,38247609,29682710,22331136,16184783,11250239,7468091,7468090,11250237,16184779,22331113,22331112,29682672,27022446,20130764,14438016,14438015,20130762,27022444,29682683,38247567,47303808,47303807,58694208,47303812,37394441,37394440,256876280,47303783,58694181,257456330,54604163,46319092,43861433,34591286,268812119,257883411,80291413,66862159,54604157,43861390,43861389,54604154,62654871,62654872,258949563,66862191,54604210,54604211,58694111,62654877,257493526,32117475,24539853,24539852,32117471,40891353,269801888,51028849,47303889,47303888,54604162,256720786,34591275,26604635,26604636,34591277,43861412,269613327,71426955,71426956,258694341,66862160,54604159,54604158,54604203,47303764,37394402,28853859,28853860,37394403,47303765,58694166,51028853,40891350,32117469,24539850,24539849,32117467,40891347,37394353,28853815,28853814,37394352,37394385,28853845,21581428,21581427,28853843,21581578,21581577,28853987,37394534,47303900,257459531,37394410,28853870,28853830,21581419,15557686,10761042,7110167,7110166,10761038,15557679,21581412,28853821,256337991,21581497,255043197,7110185,4476842,2689755,2689754,4476840,7110141,10760997,10761065,7110177,7110176,10761062,15557718,256337985,35108283,27022275,256221463,20130751,20130749,27022428,27022488,20130814,14438049,9931718,6527211,6527210,9931715,9931727,9931728,14438062,20130828,27022505,35108469,44485439,55331470,47303817,37394456,35108306,32727510,32727511,256746918,20130824,14438059,14438058,20130822,27022500,20130838,14438067,9931732,6527218,6527219,254976943,6527148,6527147,9931621,14437905,20130599,268121860,35108305,35108473,44485443,44485264,35108280,27022271,20130592,14437908,14437909,20130610,27022293,25039927,20130659,14437940,14437942,20130661,27022329,27022340,20130752,255746445,20130628,20130631,14437918,14437884,14437885,20130571,27022255,27022494,20130843,14438073,9931737,6527221,4089655,254215011,1414564,2446575,2446576,4089621,6527150,4089639,4089640,6527190,254976953,255746441,14437876,18505675,25039979,25040014,25040013,27022371,27022262,20130585,255746443,20130688,20130687,25039971,18505657,13147719,13147718,13147723,18505665,13147788,8961063,8961064,5849188,3650337,2182335,1265023,721211,721210,1265020,2182330,3650329,5849171,8961049,13147768,18505723,25040028,268732411,41634489,32727539,25039977,18505670,18505619,13147692,13147691,18505615,25039922,32727512,25039989,25039987,32727545,25040043,25040044,25040024,25040009,18505702,13147749,13147751,18505704,18505759,13147794,8961068,5849181,5849182,8961071,13147713,8961025,5849156,5849155,8961019,8961073,13147803,18505596,18505597,25039905,30598387,30598386,32727398,25039794,25039795,25039854,18505554,18505555,25039857,25913060,19251118,13755587,9425664,9425665,13755590,19251126,25913071,23179540,16914665,16914622,11837664,7911267,5029339,5029341,7911270,11837670,16914637,255966959,39195143,40913539,32727421,25039815,18505534,18505535,25039817,32442498,32442497,256100271,18505532,13147641,13147640,16914669,254814717,5029348,3044597,3044596,5029345,7911276,11837681,16914656,23179526,30598371,32141867,32141868,39195155,39195156,255659636,24559786,24807970,24807971,30598394,30598393,28332447,28332448,28332452,21120949,21120950,28332456,36828637,39195146,39195152,30598353,30598354,30598349,23179505,23179506,23179513,16914646,16914647,23179515,30598323,30598324,36828626,44786217,44786215,36990252,28493081,255393419,15314392,21276195,28493084,24559788,268705879,89394847,260193739 Dl.O(d2) = 229252695,227551748,227551747,225607393,223371690,264758958,204269587,270321766,19180611,25833634,31233539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9100735, s2 = 8868467, dlinesl.size( ) = 8 s1 = 3769143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3769143, s2 = 2952614, int(edited[s2]) = 0 s1 = 3769143, s2 = 2952614, d1 = 43, d2 = 41 Dl.O(d1) = 131427390,117626298,103495928,89402126,89402128,103495931,117626304,260462619,105894292,105894293,120105902,133086088,133086100 Dl.O(d2) = 116049777,101999934,88021285,74428016,61646114,61646113,74428015,88038299,102021410,260129725,88021284,74413850,61634021,61634020,61646121,50162103,40138757,31456813,31456812,40138754,50162099,61646109,74428008,84005065,75641182,75641181,70935431,58218102,258036845,61646077,61646078,74427955,85642772,259363065,113608080,117694206,117694205,105747128,105747130,103558718,89460037,75694838,62747518,51116257,51116256,51116238,51116237,62747500,75694815,70471420,57772018,46418202,46418200,57772013,70471410,77751160,71914584,71914585,71914603,64423987,52549968,52549969,50161453,40138353,40138355,40973996,32194044,32194046,40974004,51116142,51116209,40974039,32194065,24605705,18157086,18157085,24605701,32194056,40974024,51116179,61847344,61847343,269876145,50162088,40138747,40138746,48079008,59469962,72208092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3769143, s2 = 2952614, dlinesl.size( ) = 2 s1 = 3769143, s2 = 2952614, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3769143, Dl.E( ) = 48, 1.81e-05 seconds used appending s1 = 3267245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3267245, s2 = 6680247, int(edited[s2]) = 0 s1 = 3267245, s2 = 6680247, d1 = 23, d2 = 39 Dl.O(d1) = 103496225 Dl.O(d2) = 34081346,257256379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3267245, s2 = 6680247, dlinesl.size( ) = 38 s1 = 2977526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2979643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6572714, s2 = 6497572, int(edited[s2]) = 0 s1 = 6572714, s2 = 6497572, d1 = 22, d2 = 21 Dl.O(d1) = 256107740,89432662 Dl.O(d2) = 255239217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6572714, s2 = 6497572, dlinesl.size( ) = 28 s1 = 8208053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13600189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3269745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9417452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7676463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7676463, s2 = 13600350, int(edited[s2]) = 0 s1 = 7676463, s2 = 13600350, d1 = 42, d2 = 16 Dl.O(d1) = 272187857 Dl.O(d2) = 103712383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7676463, s2 = 13600350, dlinesl.size( ) = 42 s1 = 2311890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2311890, s2 = 8027929, int(edited[s2]) = 0 s1 = 2311890, s2 = 8027929, d1 = 5, d2 = 7 Dl.O(d1) = 61923308,50433481,50433480,50433425,40400149,40400150,50433427,40400233,31708609,31708608,30115020,22734203,16528290,11519386,7662789,7662788,11519384,16528285,22734193,30115005,35062300,35062299,44436307,55280414,50433418,50433420,53866530,43342091,43342090,46650673,58023206,70737521,75930104,75930105,89709340,103815548,106166834,106166835 Dl.O(d2) = 258037086,61588594,50108648,50108647,61588593,257427330,76453930,63409921,51666349,41424052,41424051,51666347,256834833,28291022,21084455,21084456,256296111,46673594,43405361,34304053,26426392,26426391,21655455,15620546,15620547,21655457,21655386,21655387,22884964,22884965,26426562,34304180,34303836,26426208,26426209,26426344,19688847,14116504,9711909,9711908,14116502,255460865,16131010,19688707,19688706,26426186,19688878,19688877,19689115,17138892,12044868,12044869,17138896,17138904,255984193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2311890, s2 = 8027929, dlinesl.size( ) = 2 s1 = 2311890, s2 = 8027929, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2311890, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 3271135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3271135, s2 = 2983113, int(edited[s2]) = 0 s1 = 3271135, s2 = 2983113, d1 = 9, d2 = 55 Dl.O(d1) = 103818492 Dl.O(d2) = 89712586,103818495,117965870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3271135, s2 = 2983113, dlinesl.size( ) = 40 s1 = 2983403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8152357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8562932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2984706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2956916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2956916, s2 = 14258468, int(edited[s2]) = 0 s1 = 2956916, s2 = 14258468, d1 = 1, d2 = 1 Dl.O(d1) = 88136201,102123636,102123593,102123594,89777190,75999811,63016505,51335537,51335536,51335532,51335533,41150174,32334983,32334984,41150176,51335539,63016507,75999814,89777191,89781505,76004153,63020847,63020848,57866955,57866953,57866954,70568820,84105454,75999812,63020849,63016482,63016483,75999785,89777162,76297828,63275932,63275931,76297827,75999830,75999831,85785662,72191657,72191658,59453748,48062603,38149903,29583779,22235919,16100851,11183597,11183596,16100848,22235913,29583775,29583778,38149899,48062599,59453739,48062610,48062611,59453761,70908318,58195637,58195638,58195639,70908319,258665784,70986370,58271965,58271964,59403371,48016254,46906814,37029549,255824673,21308723,16070379,11158891,7401441,267973637,255455121,29542732,28531393,21308746,15338856,15338855,21308742,28531391,255096194,21121700,15339925,15339926,15340074,21309847,15339924,10595291,10594444,10594446,10594428,6989139,4391975,2631574,1519555,1519556,2631578,4391981,6989152,6989077,4391944,2631554,1519546,1519545,2631551,254497841,2631569,1519553,1519552,2631564,4391962,6989107,10594381,11858913,15338879,15338878,15338702,10594309,10594308,15338761,10594974,10594975,6989654,6989655,4392335,2631787,2631766,2631765,1519690,861658,486354,486355,861662,1519695,2631833,4391910,2631532,2631531,4391909,6989023,10594274,15338706,21308594,15339811,10595174,254497893,2631771,4391950,267962409,6989497,4392202,4392201,6989496,10594939,15339522,15339868,15339865,15339246,255395451,28531804,21309740,21309739,21310008,15340065,10595426,6989839,4392413,4392411,4392463,254497909,10595507,15339836,10595208,10595209,254729213,6989013,4392321,4392322,6989695,10595217,6989868,6989867,6989815,4392403,2631827,254332777,6989817,4392475,2631872,1519718,861674,486360,273533,151554,151555,273531,486356,861666,1519704,2631850,4392447,4392196,2631726,1519707,1519705,2631852,4392451,6989900,6990077,268069989,6989284,4392064,4392063,6989282,10594657,6989494,6989495,10594937,10594661,6989286,4392066,2631625,1519581,1519580,2631623,4392060,6989281,10594656,7889087,7190347,4529937,4529936,4529931,4529930,6990409,4392768,4392055,2631621,2631620,4392050,6989263,10594628,10594934,10594935,10595821,10595820,15340525,21310437,17712820,12529812,8490999,5491698,5491697,8490996,12529808,17636598,17636597,23982881,31479771,40164544,50188838,256375782,74456155,61672856,50188834,50188835,61672858,74456149,74456148,257498360,88068410,102053948,102053949,116111752,130021546,143354636,130021556,130021555,143354645,155898354,167514653,177987235,177987233,177987234,177987230,167514646,165326917,165326916,167514645,176020083,176020082,165326920,153534841,153534840,153534832,153534831,153534833,153534834,261046418,272206035,261599568,127501392,113629079,99615076,85666122,259364589,113629074,127501384,127501400,140857903,153534854,165326934,176020100,176020092,176020093,185492114,193757858,200845622,206827304,211770395,215809795,219150892,219150884,215809788,211770390,211770389,274191711,221971773,223645061,223645062,224394271,224394272,225821723,223645060,221132905,218197864,214702919,214702920,214702917,210454413,205254616,198971145,264036018,182891790,172990245,161822768,161822767,172990244,161822775,149518026,136254955,136254956,149518028,136254957,136254954,122281358,107868102,93440388,79309653,65945249,65945250,79309656,93440392,107868104,122281362,136254959,149518034,161822773,172990249,172990250,172990258,172990257,161822780,149518031,149518032,161822781,161822756,161822757,172990235,182891779,182891793,191539165,198971150,205254623,210454423,212999325,208277368,202551150,195736199,187773698,178640153,178640154,262176908,168304430,168304437,156835979,144425654,131195302,131195301,131195307,117392353,103263281,103263282,271772774,156835984,168304439,178640161,172990271,172990270,182891811,191539184,187773709,187773708,178640162,168304441,156835985,144425661,131195311,117392355,103263287,89173602,75426114,62507117,50906614,50906611,50906612,40789842,32032816,24470426,24470425,18050301,18050300,24470427,32032810,24470421,18050293,18050292,24470419,24470418,24470417,18050291,12796116,8699772,5662733,3521874,3521875,5662736,8699778,12796128,10611479,7001981,7001982,10611481,15359411,21332068,28557786,37058521,37058522,37058523,46936919,58302955,50906606,50906605,62507109,75426107,71018058,71018059,75426106,75426105,62507113,50906608,50906607,62507111,75426021,89173511,103263197,89173551,89173550,103263235,117392310,260570748,131195263,131195264,144425619,155005344,142357274,128982282,115056730,270450272,86993523,100986305,90866237,76987880,76987879,90866236,105045043,118173904,118173905,118173912,118173910,118173911,260971156,119766633,105533331,105533332,104017757,89892081,89892082,104017758,118173907,118173909,259133394,76090692,259600225,270310758,258715533,99319861,113323338,104017754,104017755,98710714,84782521,258050974,59400907,48013491,38102991,29539569,22196336,16067674,11156864,11156865,16067675,22196338,29539573,38102997,38102996,38102995,48013495,59400913,71958105,71958104,85545940,89414613,75653087,75653086,75653085,72230311,72230312,85823349,89173540,75426054,75426053,89173539,103263225,89173546,75426058,62507070,62507069,75426052,89173537,89173536,85823352,75426787,75426788,268635082,72230320,59494211,48105586,38193913,29626956,29626955,256938189,59494206,72230316,85823357,99777137,99777142,257518294,113791282,103264004,103264003,117393033,127659293,113791278,113791277,121084992,121084991,134886958,127659291,127659290,141007191,141007184,127659287,127659288,141007185,153672901,141007200,127659300,113791286,113791285,127659297,270840564,144426224,144426225,156836541,148007233,259994128,148007225,156835953,144425611,131195249,117392297,103263211,103263210,117392294,131195247,134886955,134886956,134886957,134886978,134886976,121085008,106825409,92513839,78474241,65190149,65190150,78474244,78474245,65190151,65190126,53204871,42755518,42755519,53204873,65190129,53204891,53204892,258444979,92513850,271489014,92513801,78474203,65190120,65190121,78474205,259073375,65190166,65190165,67691001,55351511,55351513,67691006,65190108,269306264,78474192,65190110,53204863,42755514,42755515,44505360,35127726,27040589,27040590,35127728,44505365,40954609,256070451,24588931,255632490,41727520,32807154,32807153,36583964,43288540,43288539,53813572,44532489,44532488,44551367,55398053,46524898,46524899,57881014,46524964,36657386,36657387,46524966,53839224,46742125,36860580,36860581,46742126,50699701,40640730,36860594,28362288,21146550,21146549,28362286,31175109,31175110,34217134,34217133,42110400,42110399,256766654,34217379,26343817,26343816,28362281,21146544,21146546,28362283,36860585,36860579,31278471,255560427,12309637,12309638,17460939,23792661,31278478,34217318,34217317,34217390,26343829,255811342,26343689,34217209,34191470,26319520,26319521,24937089,18424867,13087381,13087380,18424862,24937081,32599294,28362311,21146564,15193580,10479737,10479736,267785684,28362302,36860609,46741534,46742094,58111991,255811352,58111513,46752041,46752042,255018212,22011121,15909590,15909589,22011119,29343167,33726056,25919378,25919379,33726058,42755516,53204866,65190115,78474199,92513797,106825372,121084975,134886948,126134137,126134134,258506758,164126545,152239930,139508877,139508876,152239927,164126548,159670989,159670988,154275774,141619882,141619881,154275772,141619894,271819465,100369798,100369799,114393110,128269335,114393115,100369803,86413725,86413726,100369794,86413719,72818599,72818600,86413720,100369796,99739797,85785949,72191934,60081223,48684996,38763223,30179912 Dl.O(d2) = 88136201,102123636,102123593,102123594,89777190,75999811,63016505,51335537,51335536,51335532,51335533,41150174,32334983,32334984,41150176,51335539,63016507,75999814,89777191,89781505,76004153,63020847,63020848,57866955,57866953,57866954,70568820,84105454,75999812,63020849,63016482,63016483,75999785,89777162,76297828,63275932,63275931,76297827,75999830,75999831,85785662,72191657,72191658,59453748,48062603,38149903,29583779,22235919,16100851,11183597,11183596,16100848,22235913,29583775,29583778,38149899,48062599,59453739,48062610,48062611,59453761,70908318,58195637,58195638,58195639,70908319,258665784,70986370,58271965,58271964,59403371,48016254,46906814,37029549,255824673,21308723,16070379,11158891,7401441,267973637,255455121,29542732,28531393,21308746,15338856,15338855,21308742,28531391,255096194,21121700,15339925,15339926,15340074,21309847,15339924,10595291,10594444,10594446,10594428,6989139,4391975,2631574,1519555,1519556,2631578,4391981,6989152,6989077,4391944,2631554,1519546,1519545,2631551,254497841,2631569,1519553,1519552,2631564,4391962,6989107,10594381,11858913,15338879,15338878,15338702,10594309,10594308,15338761,10594974,10594975,6989654,6989655,4392335,2631787,2631766,2631765,1519690,861658,486354,486355,861662,1519695,2631833,4391910,2631532,2631531,4391909,6989023,10594274,15338706,21308594,15339811,10595174,254497893,2631771,4391950,267962409,6989497,4392202,4392201,6989496,10594939,15339522,15339868,15339865,15339246,255395451,28531804,21309740,21309739,21310008,15340065,10595426,6989839,4392413,4392411,4392463,254497909,10595507,15339836,10595208,10595209,254729213,6989013,4392321,4392322,6989695,10595217,6989868,6989867,6989815,4392403,2631827,254332777,6989817,4392475,2631872,1519718,861674,486360,273533,151554,151555,273531,486356,861666,1519704,2631850,4392447,4392196,2631726,1519707,1519705,2631852,4392451,6989900,6990077,268069989,6989284,4392064,4392063,6989282,10594657,6989494,6989495,10594937,10594661,6989286,4392066,2631625,1519581,1519580,2631623,4392060,6989281,10594656,7889087,7190347,4529937,4529936,4529931,4529930,6990409,4392768,4392055,2631621,2631620,4392050,6989263,10594628,10594934,10594935,10595821,10595820,15340525,21310437,17712820,12529812,8490999,5491698,5491697,8490996,12529808,17636598,17636597,23982881,31479771,40164544,50188838,256375782,74456155,61672856,50188834,50188835,61672858,74456149,74456148,257498360,88068410,102053948,102053949,116111752,130021546,143354636,130021556,130021555,143354645,155898354,167514653,177987235,177987233,177987234,177987230,167514646,165326917,165326916,167514645,176020083,176020082,165326920,153534841,153534840,153534832,153534831,153534833,153534834,261046418,272206035,261599568,127501392,113629079,99615076,85666122,259364589,113629074,127501384,127501400,140857903,153534854,165326934,176020100,176020092,176020093,185492114,193757858,200845622,206827304,211770395,215809795,219150892,219150884,215809788,211770390,211770389,274191711,221971773,223645061,223645062,224394271,224394272,225821723,223645060,221132905,218197864,214702919,214702920,214702917,210454413,205254616,198971145,264036018,182891790,172990245,161822768,161822767,172990244,161822775,149518026,136254955,136254956,149518028,136254957,136254954,122281358,107868102,93440388,79309653,65945249,65945250,79309656,93440392,107868104,122281362,136254959,149518034,161822773,172990249,172990250,172990258,172990257,161822780,149518031,149518032,161822781,161822756,161822757,172990235,182891779,182891793,191539165,198971150,205254623,210454423,212999325,208277368,202551150,195736199,187773698,178640153,178640154,262176908,168304430,168304437,156835979,144425654,131195302,131195301,131195307,117392353,103263281,103263282,271772774,156835984,168304439,178640161,172990271,172990270,182891811,191539184,187773709,187773708,178640162,168304441,156835985,144425661,131195311,117392355,103263287,89173602,75426114,62507117,50906614,50906611,50906612,40789842,32032816,24470426,24470425,18050301,18050300,24470427,32032810,24470421,18050293,18050292,24470419,24470418,24470417,18050291,12796116,8699772,5662733,3521874,3521875,5662736,8699778,12796128,10611479,7001981,7001982,10611481,15359411,21332068,28557786,37058521,37058522,37058523,46936919,58302955,50906606,50906605,62507109,75426107,71018058,71018059,75426106,75426105,62507113,50906608,50906607,62507111,75426021,89173511,103263197,89173551,89173550,103263235,117392310,260570748,131195263,131195264,144425619,155005344,142357274,128982282,115056730,270450272,86993523,100986305,90866237,76987880,76987879,90866236,105045043,118173904,118173905,118173912,118173910,118173911,260971156,119766633,105533331,105533332,104017757,89892081,89892082,104017758,118173907,118173909,259133394,76090692,259600225,270310758,258715533,99319861,113323338,104017754,104017755,98710714,84782521,258050974,59400907,48013491,38102991,29539569,22196336,16067674,11156864,11156865,16067675,22196338,29539573,38102997,38102996,38102995,48013495,59400913,71958105,71958104,85545940,89414613,75653087,75653086,75653085,72230311,72230312,85823349,89173540,75426054,75426053,89173539,103263225,89173546,75426058,62507070,62507069,75426052,89173537,89173536,85823352,75426787,75426788,268635082,72230320,59494211,48105586,38193913,29626956,29626955,256938189,59494206,72230316,85823357,99777137,99777142,257518294,113791282,103264004,103264003,117393033,127659293,113791278,113791277,121084992,121084991,134886958,127659291,127659290,141007191,141007184,127659287,127659288,141007185,153672901,141007200,127659300,113791286,113791285,127659297,270840564,144426224,144426225,156836541,148007233,259994128,148007225,156835953,144425611,131195249,117392297,103263211,103263210,117392294,131195247,134886955,134886956,134886957,134886978,134886976,121085008,106825409,92513839,78474241,65190149,65190150,78474244,78474245,65190151,65190126,53204871,42755518,42755519,53204873,65190129,53204891,53204892,258444979,92513850,271489014,92513801,78474203,65190120,65190121,78474205,259073375,65190166,65190165,67691001,55351511,55351513,67691006,65190108,269306264,78474192,65190110,53204863,42755514,42755515,44505360,35127726,27040589,27040590,35127728,44505365,40954609,256070451,24588931,255632490,41727520,32807154,32807153,36583964,43288540,43288539,53813572,44532489,44532488,44551367,55398053,46524898,46524899,57881014,46524964,36657386,36657387,46524966,53839224,46742125,36860580,36860581,46742126,50699701,40640730,36860594,28362288,21146550,21146549,28362286,31175109,31175110,34217134,34217133,42110400,42110399,256766654,34217379,26343817,26343816,28362281,21146544,21146546,28362283,36860585,36860579,31278471,255560427,12309637,12309638,17460939,23792661,31278478,34217318,34217317,34217390,26343829,255811342,26343689,34217209,34191470,26319520,26319521,24937089,18424867,13087381,13087380,18424862,24937081,32599294,28362311,21146564,15193580,10479737,10479736,267785684,28362302,36860609,46741534,46742094,58111991,255811352,58111513,46752041,46752042,255018212,22011121,15909590,15909589,22011119,29343167,33726056,25919378,25919379,33726058,42755516,53204866,65190115,78474199,92513797,106825372,121084975,134886948,126134137,126134134,258506758,164126545,152239930,139508877,139508876,152239927,164126548,159670989,159670988,154275774,141619882,141619881,154275772,141619894,271819465,100369798,100369799,114393110,128269335,114393115,100369803,86413725,86413726,100369794,86413719,72818599,72818600,86413720,100369796,99739797,85785949,72191934,60081223,48684996,38763223,30179912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2956916, s2 = 14258468, dlinesl.size( ) = 2 s1 = 2956916, s2 = 14258468, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2956916, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 8332242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9239084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 68066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 68066, s2 = 11289007, int(edited[s2]) = 0 s1 = 68066, s2 = 11289007, d1 = 4, d2 = 9 Dl.O(d1) = 1372183,1372186,2370363,2131473,2131471,3576296,5743397,254083244,9638165,12961171,8820831,8820829,12961169,18264717,24737729,32353684,41168681,51353977,63034751,76017608,89794429 Dl.O(d2) = 121175226,106908894,92590423,78542894,258448660,42809786,33777343,256164056,255289812,6205128,6205127,9463584,13800335,19128963,25768767,33558113,42574935,53015189,64990248,78263767,259691241,106589055,120837433,134634558,147765294,160029109,171265479,181302006,190116749,197727383,204212338,209623230,214063383,217708962,220752062,223342860,225583093,227531672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 68066, s2 = 11289007, dlinesl.size( ) = 2 s1 = 68066, s2 = 11289007, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 68066, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 1286131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3273997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6928799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6928799, s2 = 3274382, int(edited[s2]) = 0 s1 = 6928799, s2 = 3274382, d1 = 17, d2 = 30 Dl.O(d1) = 260214689 Dl.O(d2) = 103975560,89857974,259598895,271947205,131940158,260214693,103975555,105849597,260318002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6928799, s2 = 3274382, dlinesl.size( ) = 14 s1 = 13550021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6795842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6795842, s2 = 6870622, int(edited[s2]) = 0 s1 = 6795842, s2 = 6870622, d1 = 9, d2 = 45 Dl.O(d1) = 258618292,89865919 Dl.O(d2) = 84381254,98290162,112271799,126130811,139505472,152236571,164123545,174944894,264165715,211238376,264547802,217489225,213804613,209313995,272589910,159223788,259465202,119717233,105477880,257029552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6795842, s2 = 6870622, dlinesl.size( ) = 10 s1 = 2674641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15911183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3274646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3274646, s2 = 15911184, int(edited[s2]) = 0 s1 = 3274646, s2 = 15911184, d1 = 0, d2 = 0 Dl.O(d1) = 104010750,89885966,76085473,63085479,51393986,41201549,32381477,255625028,12978067,12978068,18284885,24761530,32381476,41201546 Dl.O(d2) = 104010750,89885966,76085473,63085479,51393986,41201549,32381477,255625028,12978067,12978068,18284885,24761530,32381476,41201546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3274646, s2 = 15911184, dlinesl.size( ) = 2 s1 = 3274646, s2 = 15911184, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3274646, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10186355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10186355, s2 = 15729618, int(edited[s2]) = 0 s1 = 10186355, s2 = 15729618, d1 = 6, d2 = 11 Dl.O(d1) = 140508534,127719568,127719567,141070277,140508528,140508529,153191735,165011217,165011231,153191762,153191763,165011233,263123259,262238339,141070268,127719561,113848693,113848694,127719562,141070271,153736463,262716643,185646606,273300138,261175767,113848685,261175765,127719560,113848691,99832958,99832957,260598909,141070259,127719550,127719551,141070261,261723623,140508564,127161792,127161791,140508560,262202491,261723621,127719566,113848696,113848695,127719564,141070274,153736447,141070253,261175763,127719534,261175769,113848686,99832955,99832956,113848688,259998815,99832939,99832951,260598903,141070264,261723617,141070250,260598915,99832980,259810308,48166575,48166574,59553274,72287474,259380829,272211665,127719517,127719518,127719574,141070243,127719578,113848709,99832967,85879440,85879441,99832971,113848680,99832943,85879420,85879419,99832941,260598901,141070240,261723619,127719540,259998819,85879426,85879425,85879456,72287479,257523209 Dl.O(d2) = 99832935,85879412,72287456,59553263,48166568,48166569,59553266,259380823,271798162,114882712,100832268,86851340,73238486,73238487,259445931,259445933,73238504,60491691,60491690,73238500,86851350,271364287,127719520,113848668,113848667,114882700,128778731,114882708,100832265,86851337,270870899,114882704,100832270,86851344,73238490,60491684,49088451,39158783,268422353,16884283,11813753,7891944,268099291,255964193,39158786,257590435,72100883,85686790,85879408,259998813,127719515,141070229,140875862,127520278,127520279,261161598,113648862,99635557,99635554,99635553,99635579,85686812,257508060,73238492,60491687,49088452,49088453,60491688,73238494,260062673,127719513,114882711,260584635,99635560,85686796,72100886,59368291,47978134,38066154,268940249,59368289,59368302,47978140,256927890,65130875,65130874,72100910,85686829,258741274,85686810,99635575,259366187,72100879,258117847,47978137,38066158,29502921,22163445,22163444,29502918,38066156,47978136,59368297,72100895,62060659,255452586,33664605,33664604,42695369,53145905,65130877,78412505,257508062,113742143,99728254,85774665,72180301,72180300,85686781,72100876,59368284,47978130,38066152,38066153,47978132,59368287,72100881,259366189,72100893,59368295,59368294,72100891,268693328,40531435,31833750,24315204,24315203,31833749,40531433,50568091,256391838,59441783,48049995,38136584,29570410,29570408,38136582,48049990,59441778,72180296,268941942,72184788,59446691,258123891,259990371,258301170,74859373,62060655,50568093,50568094,268693326,256560092,74859368,88496331,87716780,74110819,61328162,49845153,39821718,39821719,41506383,51781164,63563941,76646862,71101783,71101784,74609951,74609950,88240505,90990257,77099343,63978587,52153079,47645684,47645685,58382323,47011254,37124317,28613433,21377786,21377785,28613430,37124313,47011249,57686726,46339524,36483420,36483421,46339527,57686730,46377373,36518167,36518166,46377372,57727600,257104330,59047208,47645682,37723679,33968399,33968398,43026229,48000797,38089002,268005630,16056015,11148349,10784660,7125731,7125733,255044951,21620045,18423919,13086592,13086591,14045404,13086602,8917803,5819584,3630263,3630262,5819583,8917801,268134823,24935959,24935948,24935947,32598020,32598029,32598030,33776683,33776684,31461034,23965300,17615324,12433597,8403108,5422384,3333346,254186601,1119910,1960423,3333348,5422388,8403116,12433607,255572653,15138785,10441153,10441151,12539298,12539297,17723600,24080773,21658097,15622528,15622527,21658095,268075260,13641368,13641370,19105925,19105924,16910735,11834773,11834774,16910600,16910599,23174835,30593613,256910504,29454059,37821816,30891668,255231518,31461093,32463303,41307928,41307925,41307926,47689615,59088403,50142854,50142855,60647498,61585864,50105868,40085229,40085230,50105869,61585867,50105881,40085238,31404853,23913482,23913483,31404850,256842570,46777951,46777954,58145486,269774412,84417023,258655514,59407434,257565828,49245773,60646465,73393085,63089183,51397055,257733475,76090066,89891435,104017082,115789353,101743635,87770632,74166023,61385395,49904864,39883952,39883953,49904866,61385397,74166024,87770633,101743636,115789354,129686832,143015252,155563352,167193354,177689229,263967371,207785433,212581880,216502318,219754264,222499673,224856990,226902985,228685758,230254936,231649461,232902799,234037643,235071986,235998009,235055728,234020439,232884223,231629530,230232551,228659746,226871443,224819740,222456926,219705010,216446163,212516254,207709433,201880510,194953528,194953529,194953527,186859994,186859995,186859996,177572148,167066444,155426831,142846049,129529178,115644366,101604354,87637702,74034244,61254227,49775483,39756864,31079296,268250519,8193665,5263464,5263465,8193668,12162832,17283778,23596064,31079333,39756913,36716779,28223702,28223703,36716781,46604887,48429700,47209039,37325826,28789468,28789467,33990472,26149510,26149508,28223572,28223573,36716606,28768887,28238413,21040004,21040003,28238409,29957028,37302404,36466956,36466955,36733111,31079341,28223310,21027801,15103448,10417208,10417206,6867291,6867293,10417234,15103508,21027910,28223471,26618767,19809293,19809294,26618769,29956706,38521721,46744681,36863376,36863377,46744683,51603304,52689757,42302924,33322129,25560102,18947275,18947273,25560095,33322116,42302911,52689745,52689726,52689727,48429592,38521886,38521888,33990529,33990531,38393170,34213011,26339377,26339378,34213017,43311188,37302096,28768813,21508199,21508198,28768810,34216582,34216583,38521786,29956768,29956767,38521784,41654732,41654731,43312619,43312620,43314155,47209361,43310245,43310246,43313094,43310698,43310697,49263735,255305310,37303011,28769632,28769633,37303013,47209682,39360967,39360968,49288039,49083524,49083525,254676538,30028560,254462644,47209532,37302803,28769443,28769442,33649401,42679322,43312710,34214697,34214695,43312709,48260789,42679319,33649398,25845388,25845389,33649396,42679318,47749848,48260800,43311144,34212951,26339322,26339320,26342785,30738401,26341158,19612527,19612529,26337656,19609259,14051221,14051220,9663747,6354654,6354655,9663751,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354733,9663911,10719103,10719118,7081863,7081862,10719111,15499731,21508534,28769348,28769669,26223928,19509293,19509294,26223929,34084852,43168272,53678593,65734665,79090267,79090273,79090272,93205449,79090282,79090280,259728637,121976060,121976057,260356166,107606031,121976063,135898289,260356164,259738456,79090265,259097829,259738456,93205436,107606023,107606024,260356166,93205448,93205449,93205433,93205434,107606020,93205442,258477834,53678595,53678596,53678601,43168276,43168275,53678600,65734673,79090285,93205466,107606032,93205450,79090274,79090272,93205449,93205464,93205442,93205440,107606029,121976062,107606036,260346039,93205446,93205445,93205462,259728637,121976060,135898290,121976058,107606025,107606026,107606033,93205451,79090274,79090272,93205449,79090282,79090279,93205457,93205456,107606037,101604353,258532202,61254225,61254224,258861949,259728633,93205444,93205443,101604352,101604351,93205467,258477838,258468467,93205444,93205443,107606030,93205446,258477836,53678597,53678598,65734669,79090275,259728635,93205449,79090282,79090279,93205457,93205456,107606037,101604353,258532202,74034243,79090269,65734666,53678595,53678596,53678601,43168276,43168274,53678598,65734669,79090276,93205455,260346039,93205446,93205445,93205460,93205457,79090277,79090278,93205459,107606039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186355, s2 = 15729618, dlinesl.size( ) = 2 s1 = 10186355, s2 = 15729618, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10186355, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 13287945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13287945, s2 = 8151828, int(edited[s2]) = 0 s1 = 13287945, s2 = 8151828, d1 = 10, d2 = 1 Dl.O(d1) = 26617833,34605760,43876378,54618843,66876714,63322610,61906153,50415708,50415709,61906155,74699735,88327494,89955587 Dl.O(d2) = 39867128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13287945, s2 = 8151828, dlinesl.size( ) = 2 s1 = 13287945, s2 = 8151828, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13287945, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 2988044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8337310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8337310, s2 = 8631449, int(edited[s2]) = 0 s1 = 8337310, s2 = 8631449, d1 = 165, d2 = 167 Dl.O(d1) = 258707271,99078320,93625986,258570188,91287929,79605985,73687500,60930311,49513060,49513059,60930308,68308443,63176433,54482575,54482576,55185688,44336789,34960811,26883325,26883329,34960804,44224562,36226415,36226414,44125539,54098935,54098936,66224753,67074036,67074035,57568010,57568011,269241530,97630849,111561413,272158587,136665932,259824388,104123950,93625985,79496076,70286067,57598626,57598625,46258523,46258525,49660483,55097239,44259960 Dl.O(d2) = 124761311,138244459,263816071,181301152,272019274,172583708,259062778 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6778138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3276610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 160393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9689252, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2991009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2991009, s2 = 5244328, int(edited[s2]) = 0 s1 = 2991009, s2 = 5244328, d1 = 0, d2 = 11 Dl.O(d1) = 90197450,260823931,145630657,262430545,169447477 Dl.O(d2) = 217802187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2991009, s2 = 5244328, dlinesl.size( ) = 12 s1 = 7147906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7147906, s2 = 15420116, int(edited[s2]) = 0 s1 = 7147906, s2 = 15420116, d1 = 28, d2 = 32 Dl.O(d1) = 263215696 Dl.O(d2) = 268664112,8901636,8086009,5180875,3161124,1850577,1056170,593878,331074,331072,593868,1056152,1850542,3161058,5180766,8085812,9926166,9926168,14430311,20121930,15235515,10510105,6930647,4354491,2608310,1505400,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,17959536,12726774,12726775,17959543,24352595,31877540,28423344,28423343,33769892,26616525,19807610,19807611,19296920,19296921,25962650,24149888,24149889,28423942,31780174,24267633,17888814,12671052,8604938,8604937,12671047,17888807,24267625,25961912,25961910,33769898,25960975,25960974,28422910,21199978,19295806,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,15235717,10510221,10510222,15235722,21200837,25962235,33771560,26616574,19807645,14188086,9753356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7147906, s2 = 15420116, dlinesl.size( ) = 38 s1 = 6569756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6778700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2991942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3279489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6892411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6892411, s2 = 2418683, int(edited[s2]) = 0 s1 = 6892411, s2 = 2418683, d1 = 32, d2 = 0 Dl.O(d1) = 259752729,90296666 Dl.O(d2) = 66759377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6892411, s2 = 2418683, dlinesl.size( ) = 16 s1 = 14164944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164944, s2 = 9180691, int(edited[s2]) = 0 s1 = 14164944, s2 = 9180691, d1 = 1, d2 = 1 Dl.O(d1) = 34750952,44067299,34750947,34750946,41178649,32362717,24746153,24746150,18272838,18272839,24746151,32362716,257145243,32362714,32362713,41032169,32239567,32239568,37151991,255827698,46952010,37072123,37072122,46952009,58318926,71034510,84598782,91302113,77383951,64233606,52378221,52378220,57737435,57737434,46387586,36527667,28061732,20891280,20891281,28061733,32742953,32742952,41652716,51959856,63775151,257774252,90763859,101843129,87871174,74269694,61492982,50015107,39997053,39997052,50015105,255252360,52306201,46849917,46849916,40621574,31907296,24375845,24375844,31907295,40621573,50678996,62197180,62730870,59074710,47674324,47674325,58545944,257774216,62197059,50678860,40621423,31907153,24375714,17977330,12740149,8657584,8657585,8913669,12740182,17977369,24375769,31907208,40621476,258306005,258982966,62197114,75018109,88667049,102675533,111629198,97707615,83848219,83848218,97707614,111629197,120297759,259680377,77977602,64783376,64783377,77977604,271051699,120297769,134128870,145851239,145851238,158221894,154196134,141532872,141532873,262266001,159689669,171004822,179797246,169599653,169599652,158221955,145851319,132631050,132631049,145851315,145851327,145851237,132630951,132630950,132631048,132631047,132631054,132630949,118811845,104630961,90467095,90467094,104630959,90467138,90467139,104631028,118811923,118811936,118811935,118811849,104630973,90467104,90467105,104630974,104630978,104630975,90467106,271005665,118811853,104631026,90467136,76608738,76608739,76608760,63529179,63529178,76608756,259615311,118811916,104631022,90467134,76608735,76608721,76608722,90467111,104630984,118811861,272350125,118811909,118811910,132630962,118811859,118811858,132630961,145851243,145851310,145851270,132630996,118811883,104631001,104631002,118811886,132631000,141688023,141688024,132630970,132630969,143347175,130013728,130013727,143347173,146329538,158697555,170054405,170054407,158697558,146329541,146329540,155891837,143347163,130013722,130013721,143347162,155891835,167508797,155891844,155891845,167508806,155891852,155891853,167508810,167508811,176725871,166089136,166089137,176725872,186137417,187231344,177982209,167508808,167508809,177982211,187231345,272903794,203231681,196562413,188776438,180217444,180217443,177982177,167508767,155891795,143347090,143347089,155891781,143347075,130013601,116104298,102047113,88062076,74450116,61666320,61666321,74450118,88062079,102047103,88062071,74450113,74450114,88062074,102047108,116104290,130013592,143347063,143347095,155891800,143347105,130013631,116104317,116104315,130013628,143347102,155891807,151578692,151578693,163461640,163461651,151578713,151578714,151578712,151578711,151578688,260730158,125543720,138876165,138876173,257662844,127779170,127779169,141136331,141136334,141136333,141136336,127779172,113904313,99885718,255185192,59601169,50311525,50311524,42367626,37011224,36740000,28244608,28244609,36739987,254406384,21156647,15201037,10484716,6912785,4341697,2599450,1499661,1499662,2599453,4341704,254150460,6115493,267761282,6115486,9336403,9273625,9273624,9328384,6110482,3823369,2290679,1329046,254207103,3823353,6110489,9328394,13587934,19035919,25654472,25655089,25655088,25659066,19102835,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616551,255067288,9323694,13616497,19073106,19126515,21894001,21894000,17867001,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289849,13568410,19011146,25625889,33390994,42379167,52777943,64692047,77881843,77881849,77881850,257079802,102405682,88405318,74773722,74773723,64692054,64692055,77881852,91804477,105046723,90867957,76989810,76989809,90867955,105046720,90867970,76989817,76989793,76989794,90867940,105046709,119239164,133069090,133069087,133069086,119239160,105046707,90867937,89780650,89780649,103882145,89780646,89780647,257310222,268175202,25351733,24722404,18249273,17954022,12722942,12722943,14904592,10247841,10247842,14904595,20797651,21395022,20106535,14416600,14416599 Dl.O(d2) = 34750952,44067299,34750947,34750946,41178649,32362717,24746153,24746150,18272838,18272839,24746151,32362716,257145243,32362714,32362713,41032169,32239567,32239568,37151991,255827698,46952010,37072123,37072122,46952009,58318926,71034510,84598782,91302113,77383951,64233606,52378221,52378220,57737435,57737434,46387586,36527667,28061732,20891280,20891281,28061733,32742953,32742952,41652716,51959856,63775151,257774252,90763859,101843129,87871174,74269694,61492982,50015107,39997053,39997052,50015105,255252360,52306201,46849917,46849916,40621574,31907296,24375845,24375844,31907295,40621573,50678996,62197180,62730870,59074710,47674324,47674325,58545944,257774216,62197059,50678860,40621423,31907153,24375714,17977330,12740149,8657584,8657585,8913669,12740182,17977369,24375769,31907208,40621476,258306005,258982966,62197114,75018109,88667049,102675533,111629198,97707615,83848219,83848218,97707614,111629197,120297759,259680377,77977602,64783376,64783377,77977604,271051699,120297769,134128870,145851239,145851238,158221894,154196134,141532872,141532873,262266001,159689669,171004822,179797246,169599653,169599652,158221955,145851319,132631050,132631049,145851315,145851327,145851237,132630951,132630950,132631048,132631047,132631054,132630949,118811845,104630961,90467095,90467094,104630959,90467138,90467139,104631028,118811923,118811936,118811935,118811849,104630973,90467104,90467105,104630974,104630978,104630975,90467106,271005665,118811853,104631026,90467136,76608738,76608739,76608760,63529179,63529178,76608756,259615311,118811916,104631022,90467134,76608735,76608721,76608722,90467111,104630984,118811861,272350125,118811909,118811910,132630962,118811859,118811858,132630961,145851243,145851310,145851270,132630996,118811883,104631001,104631002,118811886,132631000,141688023,141688024,132630970,132630969,143347175,130013728,130013727,143347173,146329538,158697555,170054405,170054407,158697558,146329541,146329540,155891837,143347163,130013722,130013721,143347162,155891835,167508797,155891844,155891845,167508806,155891852,155891853,167508810,167508811,176725871,166089136,166089137,176725872,186137417,187231344,177982209,167508808,167508809,177982211,187231345,272903794,203231681,196562413,188776438,180217444,180217443,177982177,167508767,155891795,143347090,143347089,155891781,143347075,130013601,116104298,102047113,88062076,74450116,61666320,61666321,74450118,88062079,102047103,88062071,74450113,74450114,88062074,102047108,116104290,130013592,143347063,143347095,155891800,143347105,130013631,116104317,116104315,130013628,143347102,155891807,151578692,151578693,163461640,163461651,151578713,151578714,151578712,151578711,151578688,260730158,125543720,138876165,138876173,257662844,127779170,127779169,141136331,141136334,141136333,141136336,127779172,113904313,99885718,255185192,59601169,50311525,50311524,42367626,37011224,36740000,28244608,28244609,36739987,254406384,21156647,15201037,10484716,6912785,4341697,2599450,1499661,1499662,2599453,4341704,254150460,6115493,267761282,6115486,9336403,9273625,9273624,9328384,6110482,3823369,2290679,1329046,254207103,3823353,6110489,9328394,13587934,19035919,25654472,25655089,25655088,25659066,19102835,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616551,255067288,9323694,13616497,19073106,19126515,21894001,21894000,17867001,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289849,13568410,19011146,25625889,33390994,42379167,52777943,64692047,77881843,77881849,77881850,257079802,102405682,88405318,74773722,74773723,64692054,64692055,77881852,91804477,105046723,90867957,76989810,76989809,90867955,105046720,90867970,76989817,76989793,76989794,90867940,105046709,119239164,133069090,133069087,133069086,119239160,105046707,90867937,89780650,89780649,103882145,89780646,89780647,257310222,268175202,25351733,24722404,18249273,17954022,12722942,12722943,14904592,10247841,10247842,14904595,20797651,21395022,20106535,14416600,14416599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164944, s2 = 9180691, dlinesl.size( ) = 2 s1 = 14164944, s2 = 9180691, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164944, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13535127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13535127, s2 = 14970270, int(edited[s2]) = 0 s1 = 13535127, s2 = 14970270, d1 = 1, d2 = 1 Dl.O(d1) = 51750863,63529160,63529163,63529164,76608739,76608760,63529179,63529178,76608756,90467153,104631042,118811860,132630958,118811856,104630980,90467110,76608720,63529152,63529153,76608722,90467111,104630984,118811862,260828071,260828073,118811857,132630959,118811914,118811913,132631037,145851244,158221901,164879903,164879904,153042031,140344066,140344067,143085411,129755445,123759501,109568292,95311470,81250556,67781031,55437986,257692408,14505084,9981010,6560193,4109816,4109817,6560200,9981027,14505116,20214276,26187401,19480000,19479999,26187399,34039312,35204701,34686419,26691995,19872313,14237962,9787607,9787608,14237964,19872338,26692025,26185985,256176495 Dl.O(d2) = 51750863,63529160,63529163,63529164,76608739,76608760,63529179,63529178,76608756,90467153,104631042,118811860,132630958,118811856,104630980,90467110,76608720,63529152,63529153,76608722,90467111,104630984,118811862,260828071,260828073,118811857,132630959,118811914,118811913,132631037,145851244,158221901,164879903,164879904,153042031,140344066,140344067,143085411,129755445,123759501,109568292,95311470,81250556,67781031,55437986,257692408,14505084,9981010,6560193,4109816,4109817,6560200,9981027,14505116,20214276,26187401,19480000,19479999,26187399,34039312,35204701,34686419,26691995,19872313,14237962,9787607,9787608,14237964,19872338,26692025,26185985,256176495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13535127, s2 = 14970270, dlinesl.size( ) = 2 s1 = 13535127, s2 = 14970270, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13535127, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8373839, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3280849, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13869355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2994235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13377915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9110212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1995205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1995205, s2 = 13860620, int(edited[s2]) = 0 s1 = 1995205, s2 = 13860620, d1 = 14, d2 = 25 Dl.O(d1) = 51877655,258368021,90635509 Dl.O(d2) = 222910399,265457732,220371646,223021176,265920047,228955624,228955623,266291949,274582297,225765487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1995205, s2 = 13860620, dlinesl.size( ) = 24 s1 = 6712520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6712520, s2 = 7995486, int(edited[s2]) = 0 s1 = 6712520, s2 = 7995486, d1 = 20, d2 = 21 Dl.O(d1) = 257612433,43838478,43838479,43899436,34627102,26637182,26637183,257285529,34599842,34599841,43870048,54612447,63592793,63592792,51806561,51806562,41911210,32971801,32971802,41911212,49028193,42054260,33105084,25370243,25370244,33105085,42054262,52398257,52398258,57694639,52398256,48480434,48480435,52303712,52303711,64155325,74267377,256115166,50012751,50012719,39994894,31317945,23828294,23828295,26060325,26060324,33341882,33341881,39994886,50012709,61490530,61490743,53016098,53016099,64991160,78264689,92291793,97835187,97835188,93007920,78898426,65563751,53539234,43059926,34001638,26159915,26159916,34001640,43059930,51662577,41420635,41420634,47142123,37236980,28706531,268614851,42069773,33120734,25384982,18799633,18799635,25384986,33120741,42069784,33125490,25389141,25389140,33125487,42074895,52418958,52191857,52191856,64029285,64610376,64268950,52413563,52413562,64268948,62280507,50743940,50743941,257210562,33342015,25582595,18974604,13539326,13539325,18495383,13140079,254637165,5845505,5845486,5845485,8955580,269063957,90701041 Dl.O(d2) = 262203784,93963025,79873779,79873780,93963026,96019883,96019884,89298607,75542331,63649406,63649407,76741023,268347098,49880902,53695397,44150659,34825975,26782539,19930359,19930364,14314251,14289024,14289028,9830782,6460970,4049260,2423733,2423730,4049288,6447276,6447273,9810545,14276761,19933859,26511945,30402024,30402020,38990451,43822520,52225640,41893563,255640002,254904914,7814573,4957311,2992835,2992837,4957315,254201030,267857516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6712520, s2 = 7995486, dlinesl.size( ) = 8 s1 = 2995919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6955985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355668, s2 = 9823814, int(edited[s2]) = 0 s1 = 10355668, s2 = 9823814, d1 = 11, d2 = 11 Dl.O(d1) = 264684390,146206413,132973457,119138816,104943080,104943079,119138814,119138828,119138829,132973476,146206439,158580472,169946073,180121738,273437823,169946024,180121695,189072459,180121730,169946068,169946067,180121685,262446287,146206384,260840013,259626867,90763208,260243867,132973443,146206398,158580424,169946026,158580444,158580443,169946045,180121715,180121719,169946047,158580447,146206412,132973455,119138828,119138829,132973476,146206439,158580472,169946073,180121738,273437823,261945557,132973439,132973440,146206398,158580424,169946026,158580444,158580443,169946045,180121715,180121719,169946047,158580447,146206412,132973455,119138828,119138829,132973476,146206440,158580475,169946079,263324303,196823562,189072477,189072478,196823564,189072480,189072479,196823530,189072441,180121673,169946000,261945551,146206373,158580391,169945998,180121671,189072439,180121683,169946009,263324295,196823535,189072473,180121729,180121685,262446287,146206384,260840013,259626867,90763208,260243867,132973443,146206398,262446293,180121697,263324300,169946049,261945563,132973457,119138816,119138815,261408703,146206428,158580465,262907903,169946089,180121748,263699577,203455248,196823559,196823558,189072482,262907905,158580478,158580476,262446285,146206381,146206380,158580400,169946007,180121680,180121669,169945997,169945998,180121671,189072439,180121683,180121684,189072450,189072469,180121712,169946043,158580442,146206407,132973448,119138811,104943077,90763212,90763211,104943073,119138809,132973445,261945559,169946028,169946029,262907901,273437821,158580418,158580416,261945567,132973491,132973490,146206463,158580492,169946086,169946002,158580395,146206432,146206433,158580462,261945565,146206424,260840019,90763218,76884262,63774522,51959178,41651922,256101023,256101025,257169221,63774524,76884265,90763226,104943099,119138842,132973486,132973485,146206455,261945555,260840015,119138804,132973428,132973443,146206398,158580424,169946026 Dl.O(d2) = 264684390,146206413,132973457,119138816,104943080,104943079,119138814,119138828,119138829,132973476,146206439,158580472,169946073,180121738,273437823,169946024,180121695,189072459,180121730,169946068,169946067,180121685,262446287,146206384,260840013,259626867,90763208,260243867,132973443,146206398,158580424,169946026,158580444,158580443,169946045,180121715,180121719,169946047,158580447,146206412,132973455,119138828,119138829,132973476,146206439,158580472,169946073,180121738,273437823,261945557,132973439,132973440,146206398,158580424,169946026,158580444,158580443,169946045,180121715,180121719,169946047,158580447,146206412,132973455,119138828,119138829,132973476,146206440,158580475,169946079,263324303,196823562,189072477,189072478,196823564,189072480,189072479,196823530,189072441,180121673,169946000,261945551,146206373,158580391,169945998,180121671,189072439,180121683,169946009,263324295,196823535,189072473,180121729,180121685,262446287,146206384,260840013,259626867,90763208,260243867,132973443,146206398,262446293,180121697,263324300,169946049,261945563,132973457,119138816,119138815,261408703,146206428,158580465,262907903,169946089,180121748,263699577,203455248,196823559,196823558,189072482,262907905,158580478,158580476,262446285,146206381,146206380,158580400,169946007,180121680,180121669,169945997,169945998,180121671,189072439,180121683,180121684,189072450,189072469,180121712,169946043,158580442,146206407,132973448,119138811,104943077,90763212,90763211,104943073,119138809,132973445,261945559,169946028,169946029,262907901,273437821,158580418,158580416,261945567,132973491,132973490,146206463,158580492,169946086,169946002,158580395,146206432,146206433,158580462,261945565,146206424,260840019,90763218,76884262,63774522,51959178,41651922,256101023,256101025,257169221,63774524,76884265,90763226,104943099,119138842,132973486,132973485,146206455,261945555,260840015,119138804,132973428,132973443,146206398,158580424,169946026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355668, s2 = 9823814, dlinesl.size( ) = 2 s1 = 10355668, s2 = 9823814, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10355668, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 2996829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199889, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3284762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3284762, s2 = 11537286, int(edited[s2]) = 0 s1 = 3284762, s2 = 11537286, d1 = 36, d2 = 50 Dl.O(d1) = 104985414 Dl.O(d2) = 225851498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3284762, s2 = 11537286, dlinesl.size( ) = 8 s1 = 2998256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2998256, s2 = 11117257, int(edited[s2]) = 0 s1 = 2998256, s2 = 11117257, d1 = 6, d2 = 0 Dl.O(d1) = 90812185 Dl.O(d2) = 48443289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2998256, s2 = 11117257, dlinesl.size( ) = 36 s1 = 3285118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6780118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6780118, s2 = 3974110, int(edited[s2]) = 0 s1 = 6780118, s2 = 3974110, d1 = 49, d2 = 31 Dl.O(d1) = 258377917,90859594,105038267,119230639,105038265 Dl.O(d2) = 156120970,143585108,261860115,273171973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6780118, s2 = 3974110, dlinesl.size( ) = 16 s1 = 3286575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8374985, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8283539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8283539, s2 = 13760844, int(edited[s2]) = 0 s1 = 8283539, s2 = 13760844, d1 = 42, d2 = 46 Dl.O(d1) = 56461454,56461455,68986892,82508607,260944797,259838167,259838165,105062650,90883880,258191746,52076364,257765263,260250397,259775640,259439106,41763284 Dl.O(d2) = 185964186,176535405,262260331,263563391,264232957,203349932,263917007,264232953,212039660,216032517,219340637,222135696,265871775,224535329,274279213,216032521,273996351,263563389,165881324,262736645,185964189,263917009,274197312,219957322,264771432,219957321,264771430,265121432,210877808,205760381,264398096,205760380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 3548107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3287692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9240314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9240314, s2 = 16281296, int(edited[s2]) = 0 s1 = 9240314, s2 = 16281296, d1 = 31, d2 = 19 Dl.O(d1) = 48311941,38401205,29828992,22461668,16293667,16293668,22461669,28472078,254986832,10552513,10552515,15287057,19877242,24095040,24095039,24095051,24095049,18783239,13377888,9143673,5983542,3741529,3741530,5983545,7692937,4868360,4868359,7692935,11559737,11611550,16643613,16431709,11446817,11446815,7614842,4817808,4817805,7496818,7496819,11291416,16241285,22403337,255617545,12896419,8771896,5712628,5712629,8771893,12896413,15299162,10563606,6967393,4377202,4377201,4358542,2611432,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961644,6953793,6953790,4978472,3007374,3007373,4978273,7842493,6960190,4373050,4373049,6960188,10553079,15269212,16799740,17560275,254926311,9241286,6956718,4370944,2618604,2618603,4370973,6067396,6067397,7484806,6954375,5193779,5193775,4374795,2620562,2389241,2389240,3986415,6353458,9661715,10767362,10767363,12407810,17579818,23921149,25577864,23594016,17281785,12160653,268107199,10657940,10657942,15417966,21405565,28647548,256863471,47054861,58429441,258677379,98650708,112647090,126511529,261654397,164442437,262847586,158702148,146334143,133107262,119277581,105084618,90904641,77025043,63913671,52095080,52095081,41781909 Dl.O(d2) = 238218615,238873654,239475414,239475413,266855673,240547223,241026268,241470033,241470034,241026267,241026268,241470035,241881894,267086866,267003566,241107408,240636783,240129263,239581896,266665466,237639957,236861990,236006065,235064589,234029543,232893786,231639698,230244298,228674278,226890221,224842798,222483750,219735825,216480432,212555664,263893626,195011955,195011956,186926107,177644898,262226924,155512061,142962497,259985828,101693232,87719654,74113887,256929290,71562187,58834886,47448802,37540957,28995691,24389344,17989618,12750637,8665935,5637952,3504062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9240314, s2 = 16281296, dlinesl.size( ) = 2 s1 = 9240314, s2 = 16281296, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9240314, Dl.E( ) = 32, 1.69e-05 seconds used appending s1 = 14164700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8150364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8150364, s2 = 5827122, int(edited[s2]) = 0 s1 = 8150364, s2 = 5827122, d1 = 5, d2 = 43 Dl.O(d1) = 77038699,77038700,90919599,105100489,119294078,259563762,146350665,260775722,180247366 Dl.O(d2) = 231983440,266376935,235307745,235307744,236222619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8150364, s2 = 5827122, dlinesl.size( ) = 2 s1 = 8150364, s2 = 5827122, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8150364, Dl.E( ) = 52, 1.5e-05 seconds used appending s1 = 2815023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2815023, s2 = 10358532, int(edited[s2]) = 0 s1 = 2815023, s2 = 10358532, d1 = 65, d2 = 63 Dl.O(d1) = 84572559,258925422,258925420,133215095,146447320,158815836,170170480,180332544,189269743 Dl.O(d2) = 201922852,205388505,205388506,210566409,274390900,213940030,213940028,213940029,213940031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2815023, s2 = 10358532, dlinesl.size( ) = 12 s1 = 10156662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10156662, s2 = 11422608, int(edited[s2]) = 0 s1 = 10156662, s2 = 11422608, d1 = 82, d2 = 3 Dl.O(d1) = 109744260,109744261,123889603,261567683,150581765,150581766,139886577,126521445,112657213,98661494,84731968,84731969,91004920,77110474,63987030,256061932,32912131,32912130,256061930,269024216 Dl.O(d2) = 84567219,71003347,58288418,58288417,71003361,84567240,98490323,112482096,126349657,139725378,152450637,152450583,152450584,164323546,175122026,184703013,184703012,177142844,166568395,260679446,261799850,175121898,184703109,184703172,175121967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10156662, s2 = 11422608, dlinesl.size( ) = 66 s1 = 9681922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6670427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3002961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3002961, s2 = 14501238, int(edited[s2]) = 0 s1 = 3002961, s2 = 14501238, d1 = 25, d2 = 15 Dl.O(d1) = 91073153,105286116,119512543,133372636,146618184,258310920,180461416,186718453,271917352,166855787,177402796,177402794,166855786,155163434,142519492,129142493,115211068,101133494,87135302,73516552,60767639,49364731,39435550,30831345,23403203,17130312,12038728,8093471,8093468,11387088,16362897,22536768,28247265,21539041,15523324,15523323,21539039,17470738,17470739,255804381,21047170,21047175,21047174 Dl.O(d2) = 72232652,59496721,59496720,58055023,46680667,36794613,36794612,46680664,37789642,36794528,28297419,28297418,36794522,46680587,58054976,48920137,38996254,30406989,23001903,23001904,30406993,36838206,29493030,29493031,38057035,38609417,255454464,29493135,30801822,39406504,48108769,38197625,29630982,22279118,16135858,16135856,22279113,22279373,29629909,22278139,16135202,16135201,22278134,29629898,38196762,38197405,38056997,29492990,29492989,22279277,22279276,22278308,22278307,29630145,30365618,38951899,48871563,60264243,59361005,47970087,38057080,37387179,37387178,38196868,48108267,59361046,47970178,38057089,255889099,16033783,11133037,11133038,16033785,22154062,22277777,29629566,38196553,256385089,29492972,38056988,255899020,256396255,29630642,29629745,22278022,16135115,11208575,11208572,16135104,11209173,7437483,7437484,11209179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3002961, s2 = 14501238, dlinesl.size( ) = 2 s1 = 3002961, s2 = 14501238, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3002961, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 1304586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1304586, s2 = 5512041, int(edited[s2]) = 0 s1 = 1304586, s2 = 5512041, d1 = 61, d2 = 44 Dl.O(d1) = 32952131,25232409,258381359,91118669,105339833 Dl.O(d2) = 226761792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9019945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9019945, s2 = 14310724, int(edited[s2]) = 0 s1 = 9019945, s2 = 14310724, d1 = 14, d2 = 19 Dl.O(d1) = 114723429,258020520,269770852,84931024,78346106,77545775,77545774,64377489,64377488,77545772,91477195,271541705,260536631,112846714,112846713,114723431,100677177,86704160,269504922,60362541,64377493,52503664,42145460,33186097,33186096,42145457,52503662,53084664,53084663,65067304,78346104,257792484,53084668,42636554,42636552,33610783,33610784,269097701,48967427,39046200,30456846,23049111,255128989,7845134,4979885,254555759,4460396,4599861,2767520,1604440,912419,912418,1604437,2767517,4460411,2679542,1552108,1552109,267787371,254120495,279237,279238,497921,882412,1552107,2679538,254503195,10723180,268209361,28779097,21516178,15505486,15505485,255841351,268406542,47223539,48015851,38315073,29746434,22387118,16228731,11281800,7489102,7489101,11281797,16228726,22387110,18672958,13280975,9065144,254909823,18672954,25242786,32964503,41903465,52240467,64087872,77232384,91148271 Dl.O(d2) = 143652718,261011370,102398590,259810034,258555434,50467172,256550693,24226452,24226451,25960894,33769813,37759208,39850345,49872585,44633596,35249143,35249142,44633594,41582432,32684989,31168332,23680063,21885582,255816226,15809310,12229796,9460541,6203009,3882517,2324894,1347780,769084,769083,1347773,1958038,3329291,5415735,8392175,12416407,17590570,23933210,28536471,256853617,58276883,70991378,259158945,67638126,55300016,44455422,44455421,55300014,67638125,61603359,50123499,50123500,61603361,71616148,58896522,50279202,40258257,40258258,257670141,49343504,49343505,60746585,60746588,60560106,49160327,39233636,30635724,256470573,49160334,60560114,73303824,67779178,67779179,257920141,44587096,44587095,49944104,61422076,55435368,44586332,35206764,27115510,27115509,20213588,14504652,9980723,9980724,14504655,20213595,27115928,28687279,31714410,24206789,24206790,31714411,40406483,50440443,59093988,47695599,37774222,29212299,21898153,15819470,255224774,24372081,21967979,254689820,4593337,2763428,1601909,1601907,2763411,4593291,7283633,10636569,10636572,11005272,15876366,14205306,14205305,10627107,7014281,7014282,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256697,9135253,254647012,18770274,25351558,28691643,37216571,47113674,256545940,42315205,33334606,25574901,18966123,13530658,9261008,6065610,6065608,9261021,12140752,254658746,14614363,10055641,10055645,14614365,14614373,20360124,20360125,27298509,27298515,27298782,27298780,20360353,20360280,255763897,35430250,27298511,20360127,14614209,14614210,20360131,14614415,10055681,6607124,6607125,6607199,4138579,4138502,2475290,2475292,4138505,6607046,6607116,10055556,14614258,10055854,6607211,6607210,10055602,10055601,14614314,14614321,255763901,35430292,35430518,35430519,27298896,20360411,14614402,14614403,20360133,14614212,14614213,20360135,27298517,27298785,20360363,14614361,10055640,10055639,14614359,14614665,10055832,10055831,14614661,20360820,20360330,20360331,27298753,20360429,14614419,10055827,6607197,6607196,254988317,14614246,14614247,20360186,27298592,27298818,20360342,20360344,27298822,35430344,27298599,27298600,20360836,14614676,255345285,27299518,27298842,27298841,27299504,27299505,35430480,35430482,35320780,35320781,44746544,35430280,27298530,20360140,14614216,14614217,20360145,27298538,35430287,44868219,256768725,27298549,27298550,20976907,20976906,28156001,35430370,44868256,44746537,35320777,27298836,27298835,35430575,44868473,55796610,44868357,35430437,255763895,14614296,14614295,20360252,27298540,27298541,35430289,44868203,35430268,35430267,44868201,36424329,35430265,27298521,27298520,35430261,44868195,44746539,44746540,55654536,44868249,35430513,35430512,27965819,20803361,14909200,10251475,10251474,14909197,20803358,27965816,36424330,44868391,35430479,35430478,35430500,27298746,20360297,20360298,27298751,35430504,44868410,36424321,36424322,46276996,46318515,36465659,28006893,28006895,35430305,44868230,36465651,36465650,44868220,55796563,68223218,259187145,110037127,110037312,100817458,86836102,86836103,100817459,95814596,259814061,81747601,68223216,68223215,81747598,95814379,110037107,272108901,110037116,110037114,124168144,261014737,150761218,150761223,150761222,162821371,150761351,137812775,137812776,137812773,137812600,137812601,137812619,137812620,124168332,124168333,137812618,124168159,110037286,95814557,81747742,68223356,55796699,55796698,68223354,81747737,95814552,110037281,124168305,137812753,124168302,124168255,260425073,95814513,95814514,260425075,110037245,271679887,95814498,95814497,81747709,68223337,55796686,44868331,44868330,55796701,68223360,81747746,95814564,110037205,95814478,259814073,101764840,87792077,74188079,61408575,49929332,39910578,39910579,49929338,60357450,48962059,39040627,39040626,42452083,48701287,48701289,256438530,256438536,59403183,48016045,48016048,50401079,50401080,61891599,74685240,72296815,72296814,85476630,72339725,59605264,48218471,48217727,268995704,48218522,48217291,38307588,29739556,22381301,22381266,22381267,29739528,29739572,29516245,22174550,22174551,29516253,38080743,38080744,47993314,38307515,29739510,29739509,38307510,48217197,42452123,42452122,52856165,52298870,41957879,33015420,33015421,41957885,52298880,48217220,48217219,59604179,48962115,39040690,39040689,48962114,60357487,67590287,62526445,50923087,48217892,257001254,72339422,78876590,72224340,72224314,72224315,72212852,59475356,59475355,64152487,52300551,268419842,25291437,18717905,18717906,25291439,25290472,25290471,33015816,30451338,255956816,28458708,28458709,36958895,29684275,22332475,16185765,11566362,7698538,7698537,11566360,16586188,22803261,30193528,38083978,46210720,36380418,27936208,27936207,36380415,46210714,55216073,44365026,44365027,55216075,67559670,67559669,64377402,52503579,52503581,46746422,46746423,58115611,259055759,64835590,52910650,52910651,51864066,51864065,257097328,32677880,25000055,18474911,13125426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9019945, s2 = 14310724, dlinesl.size( ) = 8 s1 = 9194478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8516649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8375563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8375563, s2 = 2693335, int(edited[s2]) = 0 s1 = 8375563, s2 = 2693335, d1 = 8, d2 = 1 Dl.O(d1) = 91151877 Dl.O(d2) = 77236177,259009883 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 442069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6780926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3291922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3291922, s2 = 2007835, int(edited[s2]) = 0 s1 = 3291922, s2 = 2007835, d1 = 6, d2 = 14 Dl.O(d1) = 105405815 Dl.O(d2) = 52268615,41929770,32989252,25265689,18694173,13301145,9082815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3291922, s2 = 2007835, dlinesl.size( ) = 14 s1 = 3007338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6932854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8594748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8594748, s2 = 10158296, int(edited[s2]) = 0 s1 = 8594748, s2 = 10158296, d1 = 115, d2 = 113 Dl.O(d1) = 262920570,272857561,262232158,146816917,260592060,259992214,271528155,262920569 Dl.O(d2) = 7689145,4865751,4865750,4870524,7695986,11114294,7371512,7371428,4656771,4656773,7371474,11114278,7583211,7583210,11411532,7592092,7592091,11415910,7603930,4814871,4814870,4798580,4798581,7586545,4803500,4803499,3741940,3741939,5984266,7694111,4869128,4869127,7694109,11561313,16402005,11613093,7732735,7732736,11611342,7731172,4894335,2949568,1710574,1710576,2949576,4894352,4901621,2954228,2954230,4901630,7615912,7615909,6543411,4099498,4099499,6543417,7584740,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,4905423,7746348,7599842,4807800,4807801,7599845,7588818,4809707,4809706,4798206,2900493,1682782,1682781,2900488,4812820,7607417,255102965,11446823,16431716,254958398,16583932,16583931,11630843,11412084,7583731,7583732,11412085,11628762,11424694,11424695,11608364,11608358,10025189,10025188,11437555,7605227,4811427,4811424,6543342,7604874,7594446,7594445,6936398,4358702,2611522,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895231,4803619,4820970,4820966,254788111,16441362,22627213,255600989,17966258,17966259,256054491,40597754,257695027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8594748, s2 = 10158296, dlinesl.size( ) = 26 s1 = 10221634, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6599947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164732, s2 = 11328878, int(edited[s2]) = 0 s1 = 14164732, s2 = 11328878, d1 = 48, d2 = 24 Dl.O(d1) = 63859918,52040342,52040340,63859916,63859921,52324761,52324760,64176193,76971287,63859512,52039937,41724837,32805140,25103179,18554485,18554484,25103174,32805130,41725312,52040178,52040553,41725470,41725469,52040552,52040192,41725099,41725077,41725079,52040174,42371860,33382771,25617036,19003208,19003207,25617034,33382766,42371853,52770939,59505595,48117785,48117787,52040253,52040254,42627074,42627075,52040348,41725256,41725248,32805074,32805075,41725249,47859942,41984126,33040338,33040337,41984123,52324768,269145304,63859941,76971502,63859738,52040165,41725066,41725067,52040167,52040387,49214272,39287611,32805113,25103164,256104463,41725081,32804934,25103028,18554398,18554399,25103033,32804936,41725087,42371845,42371846,41725155,32805016,268735355,52040251,52040249,41725148,41725146,52040256,41725318,41725319,41725159,41725161,41725241,37258852,37258853,47164617,52770943,52324764,52324763,64176195,64176201,76971691,76971507,76971505,63859924,52040353,52040354,63859928,60614955,49214276,39287617,30690395,23275361,23275360,30690391,39287613,32805110,25103161,25103037,18554402,13183943,13183944,18554404,25103040,30066433,30066432,268661114 Dl.O(d2) = 218827449,215442284,211346565,206335536,200275239,273100344,139790956,126417275,112547683,98553740,84629846,257439740,46980765,37097163,28590534,21359066,15381251,15381250,15381254,10629254,7015997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164732, s2 = 11328878, dlinesl.size( ) = 2 s1 = 14164732, s2 = 11328878, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164732, Dl.E( ) = 52, 2.38e-05 seconds used appending s1 = 3009414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3009414, s2 = 8507416, int(edited[s2]) = 0 s1 = 3009414, s2 = 8507416, d1 = 12, d2 = 42 Dl.O(d1) = 91251167 Dl.O(d2) = 259493669,115770099,272258403,154342150,166091139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3009414, s2 = 8507416, dlinesl.size( ) = 28 s1 = 6781812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6823532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1093551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348913, s2 = 11385220, int(edited[s2]) = 0 s1 = 10348913, s2 = 11385220, d1 = 70, d2 = 61 Dl.O(d1) = 257021470,47462642,47462428,37554923,37554924,47462430,47461956,47461957,58847019,58847187,47462160,37554630,37554629,29008701,256350233,47462259,38008658,268262874,29008347,21722105,21722106,29008348,29008349,37554255,47461715,37555108,29009014,21722532,21722533,29008430,29008431,37554377,29008645,21722300,21722299,29008640,29008428,21722157,21722155,29008424,37554366,47461845,38995206,30405877,26215565,24064818,17709363,12527198,12527199,17709366,24064827,31570436,29180634,29180632,256671482,43160248,53671218,58847633,58721419,58721418,71451890,58847391,47462409,37554884,37554885,33087357,25354748,18772606,13368579,9136617,9136616,13368575,18772599,21158807,21158805,25832725,33635556,28376072,21722598,15677918,10853868,7175873,7175874,10853873,15677926,15174115,15174114,21122023,22319537,22319539,29009156,21722636,15677946,15677942,15677940,21722622,22854990,16629487,16629486,16629477,16629479,22854976,30249590,258177045,60092813,256982134,22800662,255113887,7696575,4870999,2935265,2934824,2934826,4870275,2935256,2935257,4870987,7696557,11563904,7727904,7727906,11272533,11272534,11551961,7686126,4863451,4863452,7686129,11551964,16570864,11624458,7742757,5607703,5607702,4870070,2934649,1701987,967513,967515,1701970,1701968,1698944,967577,967576,966034,966033,1699023,1699537,2930064,4862465,7681664,7603735,7603736,7695086,7695085,8844866,7329868,4630387,4630384,7329858,11054441,7736124,4898108,2952048,2952047,4898106,7736120,11616814,16415280,16415281,15021043,15021045,16584232,11564640,7733449,7727086,4891013,4891015,4893346,2948917,2948901,1710200,1710202,2948911,4893339,7597950,4809551,2898602,1681827,956487,539090,539091,956491,1681842,2898633,4801189,2897317,2897320,4807289,7599212,11430564,7617926,5562406,5562407,7590315,7590314,7741017,4901553,2954186,1713060,973448,973450,1713068,2954198,4807900,4817627,2903263,2903262,4817613,7595766,6897436,6897433,6812921,4808998,4808996,2935179,1702255,1702254,2935172,4808159,4808160,4813807,2901028,2901029,4392956,2900333,2900335,4812522,4811410,4811409,7602695,4809662,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1685341,958251,958250,1685333,2905402,4821347,7620209,11272817,11272815,11452923,9118519,5966326,3730926,2233672,1295318,1295316,2233661,3730901,4739000,4738998,4813419,2900810,2900813,4813428,7608548,11441954,16414424,16414425,22597457,29947038,29947039,29947934,22584842,16402470,11418740,7589248,7589247,11418737,11427268,7596252,4805058,254785549,16411491,22594732,256006070,28590995,255555386,10629448,7016146,4411662,254499319,10629445,15381533,18764517,18764518,25345429,33073145,25343142,18762663,18762664,17527456,12361232,12361233,13361860,10879123,10879122,9131875,5975987,5975986,9131873,13361925,13362007,16839753,21775399,21775400,26373453,30218324,29807088,22440720,22440721,21077232,15140004,10446986,6887075,6887074,10446985,15147557,16272373,11314885,7512866,7512864,11314879,16272362,19640045,14076381,9681489,9681488,14076377,19640034,18765069,18765070,25346054,21290722,15325157,15325156,21290721,27129769,30218356,22825938,256074749,12905595,8779056,8779053,9756739,9917640,9917639,8987343,5867477,3663256,2191961,2191963,3636007,3636005,5827312,8928306,7483675,4729384,4729385,4395477,2633990,1521087,862446,862445,1521082,2633978,4395457,6994087,9460662,7759004,7758893,6519023,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896148,5971384,9125375,13353334,18753913,258392463,91262274 Dl.O(d2) = 266355562,232740401,231472561,231472560,266236625,234930775,266519751,237538472,237029792,236193710,236193711,266696513,237538471,237538472,237793538,238255220,237538475,237538476,238255223,238907648,266811228,238907642,238255218,274730828,235881882,235881881,236193725,235881884,235881885,266598429,238255220,237538475,237538476,238255224,238255218,266628104,237029806,237793539,237793531,237029788,236748802,235881887,234930777,233886451,232740401,231472561,230057010,228461259,273889466,263974462,194243907,194243908,201277235,264564216,201277235,263974460,262812982,165970696,154213670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348913, s2 = 11385220, dlinesl.size( ) = 34 s1 = 3010411, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8238016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3296276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3296276, s2 = 8552012, int(edited[s2]) = 0 s1 = 3296276, s2 = 8552012, d1 = 8, d2 = 0 Dl.O(d1) = 170574494,159237282,261964297,133607436,119733882,105495483,91273265 Dl.O(d2) = 33071981,25342128,18761905,268293431,18761907,13360045,13360046,18761909,25342134,33071993,26228208,19512933,13967471,9590821,6296230,3944030,3944033,6296243,4272044,3743623,3743625,5986992,3745830,3745825,3855620,3745672,2317057,1343714,1343711,1351183,1351181,2331433,2341789,2402953,2402952,4009346,6306449,7812769,7812767,7813033,4956071,4956075,7812586,7812588,9150977,13386682,255189478,18533141,256102675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3296276, s2 = 8552012, dlinesl.size( ) = 2 s1 = 3296276, s2 = 8552012, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3296276, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9139038, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1656252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1656252, s2 = 3296318, int(edited[s2]) = 0 s1 = 1656252, s2 = 3296318, d1 = 1, d2 = 23 Dl.O(d1) = 42016397,258393469 Dl.O(d2) = 91273603,105495804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3296322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10335380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13589723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7183344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7183344, s2 = 11229489, int(edited[s2]) = 0 s1 = 7183344, s2 = 11229489, d1 = 68, d2 = 56 Dl.O(d1) = 263697090,119766679,105533371 Dl.O(d2) = 257781224,33097643,25364062,255257111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7183344, s2 = 11229489, dlinesl.size( ) = 96 s1 = 8324785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9619292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8427181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3299941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3299941, s2 = 15987792, int(edited[s2]) = 0 s1 = 3299941, s2 = 15987792, d1 = 29, d2 = 88 Dl.O(d1) = 105653268,91426398 Dl.O(d2) = 15054502,10380286,6840278,4291922,2566026,1477533,835348,470817,470816,835344,1477524,2566003,4291889,6840190,4445352,2670440,1546733,1546729,2670468,4445404,7060877,6432374,6432371,9783851,14232584,19865425,20203938,14497407,14497406,20203930,19877329,14241732,14241731,19877331,15610777,15610776,21642779,28917373,256883487,58749518,71478621,85050147,95534825,81499646,68016484,55629659,44731672,44731673,257183840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3299941, s2 = 15987792, dlinesl.size( ) = 18 s1 = 3283974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3283974, s2 = 469938, int(edited[s2]) = 0 s1 = 3283974, s2 = 469938, d1 = 33, d2 = 17 Dl.O(d1) = 104952286,271018574,258373150,52475962 Dl.O(d2) = 11934657,7987117,5083342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3283974, s2 = 469938, dlinesl.size( ) = 2 s1 = 3283974, s2 = 469938, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3283974, Dl.E( ) = 34, 1.6e-05 seconds used appending s1 = 9156458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3015604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8438846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14850565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10299485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10299485, s2 = 11155246, int(edited[s2]) = 0 s1 = 10299485, s2 = 11155246, d1 = 52, d2 = 38 Dl.O(d1) = 31977683,31977684,40724750,47751118,255603854,25159989,32867026,30596231,30596232,39193359,49121170,47529940,47529939,50828691,50828690,62410562,50828651,40724696,31977627,31977626,28730177,28730176,37262267,47168189,58557130,47751117,47751116,41787788,41787787,52101394,63920638,77032745,77032682,77032681,64111682,52262840,41924475,41924476,40098671,31418710,31418709,40098669,50119114,40098725,31418751,31418752,38179993,48091603,38179972,38179971,48091601,59472038,48559697,38644433,38644432,48559695,52101368,41787764,41787763,38644859,30069450,22690220,22690219,25159912,32866928,38180018,29613141,29613142,38180020,40216109,32878528,25170245,25170246,32878530,32225100,32225101,41015535,42167365,33207235,25459540,18859768,18859769,25459541,27086584,35174844,255444262,67738077,81202647,257499228,123704480,270833894,258732744,91498554 Dl.O(d2) = 258696734,32340061,24724082,21838161,21838160,29145969,37706122,47628405,47628428,50927751,257638396,44387533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10299485, s2 = 11155246, dlinesl.size( ) = 32 s1 = 14164740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164740, s2 = 9027725, int(edited[s2]) = 0 s1 = 14164740, s2 = 9027725, d1 = 11, d2 = 21 Dl.O(d1) = 263236466,133592586,119717778,259500578,98183686,112146112,98183677,98183678,112146114,125982718,139334123,261828222 Dl.O(d2) = 105724809,105724823,260276483,91500209,77569024,77569023,64400750,64400751,77568973,64400702,52527230,52527229,257790475,52527248,52527243,42169180,33209280,33209281,257790473,77568992,91500198,105724807,91500203,91500202,105724800,91500176,77568969,64400711,52527236,42169175,33209278,33209277,42169173,52527234,64400707,76085609,63085625,52527288,42169211,33209297,25461413,18861231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164740, s2 = 9027725, dlinesl.size( ) = 8 s1 = 9027724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9027724, s2 = 14164739, int(edited[s2]) = 0 s1 = 9027724, s2 = 14164739, d1 = 40, d2 = 31 Dl.O(d1) = 257790472,50551794,50551793,62044607,74842928,74842933,257790474,52529107,52529108,64402546,77570678,88478631 Dl.O(d2) = 129746146,129746147,261828223,115847050,101800845,87826842,74221781,74221780,87826841,74221786,259500579,115847054,129746151,263236467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9027724, s2 = 14164739, dlinesl.size( ) = 26 s1 = 9674205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674205, s2 = 10347420, int(edited[s2]) = 0 s1 = 9674205, s2 = 10347420, d1 = 11, d2 = 17 Dl.O(d1) = 257203260,72186329,72186328,80359307,66933398,54676669,54676668,55211014,47049018,47049019,58423843,71145523,256647652,51210651,41053591,32259326,255618799,5753086,3582470,2134910,2134911,2251320,2251319,3758262,6008837,9180513,13427416,16670271,11814960,11636018,7751920,4909422,2959165,1715840,1715841,2959168,4909428,7167316,10841818,11635549,7751698,4909271,2959051,1715785,974910,548860,548862,974911,254245695,4909279,254367237,1715691,1715689,2958910,4909033,7751366,11635266,16669863,22900418,255687368,25814186,33613463,42639589,53088091,65070840,71569209,71569211,257771352,53000045,256112686,25755009,254957640,33991352,34246952,26370124,256186805,43347012,52243922,258728218,35116901,35116902,44493977,257313181,64194925,64194926,257831594,88176274,74561516,74561515,73428140,60680515,59324659,48688008,48510215,48510214,48510188,46624341,46624340,58000429,70716621,70434137,57739744,256414432,61698642,59903735,59903734,268419610,86246598,85391263,71803081,71803080,72059132,72059131,72644697,85352013,267831404,47613385,37688192,29126080,29126079,37688190,39018389,30429179,23023645,23023646,30429167,23023637,23023638,30429169,39018376,48384777,38482190,29922147,22562783,16383288,16383289,22562788,29922157,38482201,32699666,25016356,18486742,13133636,8950967,5842313,5842316,8950972,13133649,18486768,255476736,41602566,46896229,46896230,46896262,46896231,46896232,48384759,48384760,59767595,70978787,70978815,58263121,46896286,37017736,28519718,28519719,37017739,46896289,58263126,60522515,58263110,58263111,52538891,42180548,257201151,52538622,52538625,46834079,46834078,46710395,46710394,46710469,36828091,36828092,46710470,58081967,258651093,58263128,58081783,58081785,70798545,84357143,84542111,70978804,58263100,46896261,37017726,28519710,268610669,258040827,70978797,270287033,271881632 Dl.O(d2) = 105737842,100694199,86718056,73112263,60372659,48976455,39054578,257002321,258813599,258190677,48979259,39056830,30466561,23057794,16810741,16810742,23057796,30466565,39056837,48979266,60375999,60375923,60375924,73115900,73111990,60372668,48976459,48976458,60372665,64410933,52537509,42179606,33220503,33220504,42179608,269504569,77579055,91509921,92376923,78344462,65065498,65065496,78344461,92376922,106680292,98137277,98137276,100126587,86160502,258764556,48440788,48440787,258152633,86160501,269770058,72562135,72562134,73111426,73111427,86717213,77579094,73111353,270347169,100693451,105734011,119969252,119969775,260999004,64410050,257791247,52536855,64410054,77577992,73116089,259182798,269205182,86721364,91515155,77584015,254987066,84985220,98910909,112899080,98910919,84985227,71411090,257629184,46596719,257408291,258642973,77582966,84243440,84243441,98137280,260277283,101039243,87043205,73425315,60677216,257024593,30749489,23327799,17061793,255978163,39349471,49276045,257605065,49276021,49276563,39349972,39349971,49276064,49276020,39350383,30750160,23328273,17062064,17062063,23328271,30750157,39350379,49276027,39349446,30749455,23327776,23327775,256479783,268973151,23328122,17061992,17061993,23328124,30749888,39349974,257605123,49277092,49277093,39350844,30751190,30751188,268973129,39349443,257605067,39349466,39349465,39351096,39780410,39350612,39350611,30750851,23328799,23328798,30750850,39351107,49277828,60678920,73426720,72947489,60207792,60207791,72947488,62651566,62651567,75594176,85783977,84108488,255374890,58082428,49277834,39351112,39351113,49277836,49278098,57869914,46513680,46513679,269375153,44543047,44543048,55390295,67730636,81196041,70680872,57962388,46585811,256293956,38033193,38033194,36725359,28231734,256291899,46612844,44543004,257317389,47908908,37992751,29430570,22098952,22098953,29430572,30672937,39269076,37992423,37992422,29430287,29430288,37992435,47908617,38033262,38033261,47947046,38033533,29470744,29430792,29430790,29470442,28637004,21396937,21396938,22098809,15989665,11100074,7361265,4649845,4649844,7361263,268082563,22098782,29430331,29670359,29670360,38235729,48145726,50290373,40269183,31582271,31582270,28722818,21466600,21466601,24304952,31821454,28569637,21341893,15367319,10617920,10617921,15367325,21341902,28569649,28722736,21466542,15465557,10693905,7064974,7064976,10693911,15465566,21466559,21360217,17063346,11971720,8015998,8015999,11971724,16994235,16994234,23257116,16994242,11908813,7965640,5067765,3071591,3071590,5067760,5370446,5370443,7965764,5067831,3071646,3071647,5067834,7965771,11909002,16994545,23257596,23541094,31022252,39699373,257625955,49176556,39251517,30655791,30655792,39251513,30655788,257016973,59406395,256443332,22202619,29546081,256931309,41051756,41051757,49911285,39891194,31213826,23729406,17405541,17405540,23729402,31213818,39891183,49911271,61391513,62858792,51208775,51208774,61391517,62150227,50643172,40594649,40594650,50643174,62150231,258927345,87776700,74172071,74172072,74172036,74172037,87776661,99358432,85415362,71827369,71827370,62858794,59501109,48113057,48113052,48113051,59501102,63395921,51652928,41411765,41411764,51652926,63395918,76439680,90270023,104421517,261317501,116412966,259534971,74697240,269884887,50413109,50413110,61903617,74697243,87647452,257889832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674205, s2 = 10347420, dlinesl.size( ) = 14 s1 = 3302930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13558509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13679033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9523318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14631595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14631595, s2 = 3304137, int(edited[s2]) = 0 s1 = 14631595, s2 = 3304137, d1 = 6, d2 = 6 Dl.O(d1) = 256648669,256648671,52637476,258411235,91644300,105851969 Dl.O(d2) = 256648669,256648671,52637476,258411235,91644300,105851969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14631595, s2 = 3304137, dlinesl.size( ) = 2 s1 = 14631595, s2 = 3304137, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14631595, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 3304138, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9470275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9470275, s2 = 3019942, int(edited[s2]) = 0 s1 = 9470275, s2 = 3019942, d1 = 4, d2 = 7 Dl.O(d1) = 7931793,11867441,16955055,23227972,256471711,30364070,22962359,16726039,16726040,22962353,30364060,38950250,46672073,39829912,39829913,39963331,39963332,49979880,50129207,40108468,40108469,50129210,61609992,74387408,87991048 Dl.O(d2) = 91657210,77729510,64547285,64547284,77729508,91657209,105865304,120077937,133921133,147145279,152903928,140214126,140214127,146799553,133540905,133540906,134834294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9470275, s2 = 3019942, dlinesl.size( ) = 2 s1 = 9470275, s2 = 3019942, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9470275, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 3304932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2710437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8095496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8095496, s2 = 14086259, int(edited[s2]) = 0 s1 = 8095496, s2 = 14086259, d1 = 1, d2 = 1 Dl.O(d1) = 255752930,30185132,22795368,16578672,11559182,7692393,4867926,2933359,1701294,1701295,2933360,4806261,2896678,2896679,4806264,2898843,1681961,956525,956528,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434966,11434969,7735755,7735753,11616468,16404616,16404615,15805532,15805535,10952921,10952920,7620416,7620415,11456547,7620409,7620410,11456550,16442834,22629193,22629216,22629218,22400356,22400323,16238933,11289714,7495639,4738248,4738250,7495646,11289739,9141143,9141141,10952248,7248560,4570609,2749280,1593473,1593475,2749286,4570619,7248584,255060559,7734581,7734584,11615193,11764592,11764591,16824039,16824021,11764581,7854470,4985101,4985098,7854462,11764567,16823990,23075721,30489038,31184455,23845806,23845804,27278968,20343343,16556027,11539825,11539823,16556013,18849045,25446152,257180674,11072208,11072209,15954376,22058585,29389286,29398330,22067856,22067855,29398329,22070440,22037587,15935574,11057902,11057905,15935578,255881727,20074035,26949242,26654691,19840987,14214127,9771575,6424763,4030704,4030705,254682333,5486661,254274977,1135937,637331,353961,254080643,106100,194103,353972,637354,1135983,1988227,254410067,8485832,12523892,17705475,13487561,13487564,18919182,25529051,33289677,38036648,38036650,33729158,25922262,268505403,42758884,38036673,33289619,25528992,18919138,18919137,25528990,33289617,29473794,256383581,38036655,47950270,59341657,64555564,52656017,42270150,42270149,257796995,50394957,50394956,52656033,42270163,42270164,52655950,52655441,50394950,50394951,42269771,33289528,33289300,25528764,18918952,18918951,25528767,25528924,255668900,268026378,13487301,13487300,18918837,18919061,18919306,254652368,7378054,4661132,4661131,7378052,11123579,16020748,255887805,38036680,33289668,25529048,18919178,13487559,9227859,9227860,13487564,18919182,25529051,33289677,33289686,33289685,31565963,24060354,24060352,25351607,29465447,22130615,16015750,16015751,22130618,29465455,22137267,22137265,29473787,33289264,25528740,25528741,25529035,22130612,16015747,11120071,255075549,16020738,22137260,29473777,31665243,25528988,25528989,33289614,42269854,52655688,42269791,42269792,52655692,47950272,47950270,59341657,64555564,52656017,42270150,42270149,257796995,50394957,50394956,52656033,42270163,42270164,52655950,52655441,50394950,50394951,52655667,52655671,42269774,42269773,42269539,42269540,52655444,52655566,256649980,50910272,52655679,257205962,42269413,33289345,25528799,25528800,25528701,18918904,13487360,13487361,18918905,25528702,33289220,257205895,64554950,77737293,91665067,91665069,77737295,77737294,91665068,105873302,260877555,105873831,105873830,105873527,105873525,105873450,91665230,91665231,105873452,120086317,105873456,105873426,105873425,91665211,91665212,91665224,77737463,259039675,77737530,77737529,91665284,105873506,99655469,85707609,72122869,59391968,59391969,72122872,85707615,99655480,85707626,72122881,72122880,72122885,85707627,99655495,113668493,127539869,128821781,261632770,114924698,100874531,86895057,73284592,257594745,39214450,39214451,257594747,60540961,49141192,39214460,30617613,23196707,16928559,11848111,11848110,255522619,30617609,39214455,49141185,42270130,42270126,33289892,33289893,42270129,42270122,42270121,52655993,59316828,64555531,64555532,77737813,77737819,77737818,72051686,59620831,48233773,48233772,47923766,47923767,48233784,38323777,255909273,268226283,17851129,24222209,31730075,40423565,257682039,74756542,72355650,257546134,48233782,48516040,48516039,47923756,47923758,59316826,59391733,48003519,48003518,48920203,48920202,60318810,73059854,85707516,72122752,59391869,48003618,38092221,29528621,29528619,38092220,48003617,59391855,59391856,59391753,59391751,59391757,48003535,48003536,59391763,72122665,258158455,48516240,48516241,268940725,38092235,48003622,48003625,59391877,59391902,59391903,59620837,48516040,38601310,38092242,38092239,257510041 Dl.O(d2) = 255752930,30185132,22795368,16578672,11559182,7692393,4867926,2933359,1701294,1701295,2933360,4806261,2896678,2896679,4806264,2898843,1681961,956525,956528,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434966,11434969,7735755,7735753,11616468,16404616,16404615,15805532,15805535,10952921,10952920,7620416,7620415,11456547,7620409,7620410,11456550,16442834,22629193,22629216,22629218,22400356,22400323,16238933,11289714,7495639,4738248,4738250,7495646,11289739,9141143,9141141,10952248,7248560,4570609,2749280,1593473,1593475,2749286,4570619,7248584,255060559,7734581,7734584,11615193,11764592,11764591,16824039,16824021,11764581,7854470,4985101,4985098,7854462,11764567,16823990,23075721,30489038,31184455,23845806,23845804,27278968,20343343,16556027,11539825,11539823,16556013,18849045,25446152,257180674,11072208,11072209,15954376,22058585,29389286,29398330,22067856,22067855,29398329,22070440,22037587,15935574,11057902,11057905,15935578,255881727,20074035,26949242,26654691,19840987,14214127,9771575,6424763,4030704,4030705,254682333,5486661,254274977,1135937,637331,353961,254080643,106100,194103,353972,637354,1135983,1988227,254410067,8485832,12523892,17705475,13487561,13487564,18919182,25529051,33289677,38036648,38036650,33729158,25922262,268505403,42758884,38036673,33289619,25528992,18919138,18919137,25528990,33289617,29473794,256383581,38036655,47950270,59341657,64555564,52656017,42270150,42270149,257796995,50394957,50394956,52656033,42270163,42270164,52655950,52655441,50394950,50394951,42269771,33289528,33289300,25528764,18918952,18918951,25528767,25528924,255668900,268026378,13487301,13487300,18918837,18919061,18919306,254652368,7378054,4661132,4661131,7378052,11123579,16020748,255887805,38036680,33289668,25529048,18919178,13487559,9227859,9227860,13487564,18919182,25529051,33289677,33289686,33289685,31565963,24060354,24060352,25351607,29465447,22130615,16015750,16015751,22130618,29465455,22137267,22137265,29473787,33289264,25528740,25528741,25529035,22130612,16015747,11120071,255075549,16020738,22137260,29473777,31665243,25528988,25528989,33289614,42269854,52655688,42269791,42269792,52655692,47950272,47950270,59341657,64555564,52656017,42270150,42270149,257796995,50394957,50394956,52656033,42270163,42270164,52655950,52655441,50394950,50394951,52655667,52655671,42269774,42269773,42269539,42269540,52655444,52655566,256649980,50910272,52655679,257205962,42269413,33289345,25528799,25528800,25528701,18918904,13487360,13487361,18918905,25528702,33289220,257205895,64554950,77737293,91665067,91665069,77737295,77737294,91665068,105873302,260877555,105873831,105873830,105873527,105873525,105873450,91665230,91665231,105873452,120086317,105873456,105873426,105873425,91665211,91665212,91665224,77737463,259039675,77737530,77737529,91665284,105873506,99655469,85707609,72122869,59391968,59391969,72122872,85707615,99655480,85707626,72122881,72122880,72122885,85707627,99655495,113668493,127539869,128821781,261632770,114924698,100874531,86895057,73284592,257594745,39214450,39214451,257594747,60540961,49141192,39214460,30617613,23196707,16928559,11848111,11848110,255522619,30617609,39214455,49141185,42270130,42270126,33289892,33289893,42270129,42270122,42270121,52655993,59316828,64555531,64555532,77737813,77737819,77737818,72051686,59620831,48233773,48233772,47923766,47923767,48233784,38323777,255909273,268226283,17851129,24222209,31730075,40423565,257682039,74756542,72355650,257546134,48233782,48516040,48516039,47923756,47923758,59316826,59391733,48003519,48003518,48920203,48920202,60318810,73059854,85707516,72122752,59391869,48003618,38092221,29528621,29528619,38092220,48003617,59391855,59391856,59391753,59391751,59391757,48003535,48003536,59391763,72122665,258158455,48516240,48516241,268940725,38092235,48003622,48003625,59391877,59391902,59391903,59620837,48516040,38601310,38092242,38092239,257510041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8095496, s2 = 14086259, dlinesl.size( ) = 2 s1 = 8095496, s2 = 14086259, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8095496, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3305438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164240, s2 = 11123932, int(edited[s2]) = 0 s1 = 14164240, s2 = 11123932, d1 = 69, d2 = 50 Dl.O(d1) = 17784306,17438835,12292551,8302216,8302215,12292549,12587055,17784416,12586999,8539338,5537445,3422951,3422950,5537443,8539334,12586998,17784278,17784279,23766775,17438824,12292536,8302206,5356347,5356346,5537488,5537490,8539414,12586889,8539248,5537390,5537389,8539245,12586882,17784287,24151533,19915917,14300986,9830904,6458016,4047974,2423370,2423366,4047988,2423733,2423730,4049288,6447287,6447284,9810582,14276883,19934097,26788114,34833474,255775722,38939951,256259234,22952015,255961269,16844714,14314128,9833090,9833091,14314130,19989837,26865868,24185520,17816946,17816945,24185519,27136861,20230217,20230216,27136859,35231409,38404777,48315476,47565779,37659685,29109803,29109802,255649198,58948494,48124195,38213865,38213864,48124178,59511698,59511711,48124202,41920539,32980429,25257398,268486185,41920542,47239589,58632898,55472627,55472628,67814268,67814273,55472634,44623341,44623340,55472632,67814270,71381305,71381304,63588106,62487565,50888382,41524392,32638102,32638103,40772655,32016581,24455846,18037902,18037900,24455843,24455701,18037792,18037791,18037819,24455736,24455687,18037784,12786136,8692257,5657202,267919021,12786139,18037789,24455695,24455741,256060171,40772503,49800279,39781098,31102502,31102501,39781096,41610950,39781100,31102503,31102504,39781102,49800282,61243866,268988250,87628159,85376715,85376716,85532994,71945040,71945039,71945003,71945004,71945055,257496183,37883225,37883226,47806730,59206084,48533314,48533315,59926875,72667035,74955642,73560904,60814621,49866650,49866649,49866652,39843956,39843957,49866653,61348811,60814623,60814624,259492317,258245493,61348812,50074171,40054254,31373089,255566915,17532627,23877616,31373088,31373021,23877573,17532606,17532605,23877571,31373018,31373035,40054191,49800252,49800251,42048134,33099662,33099663,42048137 Dl.O(d2) = 268762036,67584484,55242690,44394043,35017827,33779456,25969247,25969250,20811728,20811725,16100710,16100708,13230989,13230987,12904010,8777908,8777910,12904019,13433787,9184713,6011514,3759870,3759871,6011554,8777845,8917553,6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772576,254464190,268297947,38581503,38581504,48496257,42026323,42026322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164240, s2 = 11123932, dlinesl.size( ) = 62 s1 = 2711452, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7009068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7009068, s2 = 7753470, int(edited[s2]) = 0 s1 = 7009068, s2 = 7753470, d1 = 35, d2 = 39 Dl.O(d1) = 261282394 Dl.O(d2) = 274415986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7009068, s2 = 7753470, dlinesl.size( ) = 2 s1 = 7009068, s2 = 7753470, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7009068, Dl.E( ) = 70, 2.19e-05 seconds used appending s1 = 7953055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7953055, s2 = 15309235, int(edited[s2]) = 0 s1 = 7953055, s2 = 15309235, d1 = 44, d2 = 26 Dl.O(d1) = 255924148,30814518,23542051,17610893,12430746,12430747,15428229,15428224,21038520,21038519,17115436,17115435,22637464,30007816,254820108,13500564,268146297,269510309 Dl.O(d2) = 159528051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7953055, s2 = 15309235, dlinesl.size( ) = 52 s1 = 3021496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344990, s2 = 14955462, int(edited[s2]) = 0 s1 = 10344990, s2 = 14955462, d1 = 22, d2 = 4 Dl.O(d1) = 268383422,267883061,2658677,1538361,1472242,832685,832683,1472236,1946363,3308485,3723642,2547291,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2228648,1292498,737661,737665,1292513,2228670,2536379,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466645,826561,1460188,832720,832721,1472324,2556137,254484259,10317755,6787613,4255239,4255238,6787611,8600382,10284861,10987526,8334922,8334920,12337791,255564027,15018463,15018464,16547256,14967411,14967410,18671383,25241140,32962650,41901041 Dl.O(d2) = 49983125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344990, s2 = 14955462, dlinesl.size( ) = 26 s1 = 11658572, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8169233, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8137207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14631759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14631759, s2 = 3022301, int(edited[s2]) = 0 s1 = 14631759, s2 = 3022301, d1 = 7, d2 = 7 Dl.O(d1) = 261072171,260510098,91704740,77777124,64594417,64594416,259670005 Dl.O(d2) = 261072171,260510098,91704740,77777124,64594417,64594416,259670005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14631759, s2 = 3022301, dlinesl.size( ) = 2 s1 = 14631759, s2 = 3022301, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14631759, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 9731958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9731958, s2 = 9732042, int(edited[s2]) = 0 s1 = 9731958, s2 = 9732042, d1 = 20, d2 = 26 Dl.O(d1) = 6001180,3752991,3752993,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7973572,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,11884329,13410132,9168629,9168630,13410134,15975946,11090293,11090294,15975947,16975641,15621402,13189847,8991469,5870399,5870398,5135951,3122958,3122955,5135958,5135998,8045865,11924691,9167815,7955035,7955036,11896235,16982433,17098300,12011927,8069905,8069906,5164543,3147137,1840961,1050580,590921,329586,181598,181602,329613,590975,1050697 Dl.O(d2) = 105258479,105258480 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3022469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8428615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658074, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3307878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3307878, s2 = 7487784, int(edited[s2]) = 0 s1 = 3307878, s2 = 7487784, d1 = 12, d2 = 33 Dl.O(d1) = 105924771 Dl.O(d2) = 267142051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3307878, s2 = 7487784, dlinesl.size( ) = 2 s1 = 3307878, s2 = 7487784, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3307878, Dl.E( ) = 62, 2.41e-05 seconds used appending s1 = 1670858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3023458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8131918, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6837211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6934933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6934933, s2 = 14057381, int(edited[s2]) = 0 s1 = 6934933, s2 = 14057381, d1 = 43, d2 = 68 Dl.O(d1) = 260293412 Dl.O(d2) = 177042140,166459156,154752049,142117292,260526854,100812593,258679408,257444396,49068307,60471766,73218441,86831251,100812595,114864235,128761665,142117296,262293349,177042136,166459151,154752045,142117288,128761660,259925422,86831250,100812590,114864229,114864231,114864233,128761663,142117293,154752050,261782004,164459227,152604922,139896830,260061060,164459231,261782000,154752007,154752008,261782002,262175132,142117289,154752046,262658106,177042141,184804929,184804931,261235694,152604923,139896832,126533569,126533568,114906183,100855556,86874759,86874760,258820228,128803299,128761598,128761597,142117249,272835060,129932063,143260507,263100193,152604933,261235690,126533580,128803296,128803294,142117255,154752021,166459137,167435789,155809037,143260503,129932061,116033635,101987027,101987028,116033640,261298495,155809045,167435794,177923824,273563530,262175137,139896840,126533579,259925425,84748566,84748568,84748552,84748551,98676228,112670870,126533574,139896837,152604926,139896835,126533572,112670868,98676225,84748547,84748548,88163683,74548800,61765154,61765153,74548796,88163682,102154653,102154664,88163691,74548805,61765160,61765161,74548807,88163697,102154669,116216162,271395850,84748565,71179692,71179691,84748562,71179696,58457491,256865125,37184347,47079458,58457494,61627174,50145283,50145282,61627170,61627251,58457479,58457478,71179682,84748546,98676223,112670863,116216159,102154658,88163688,88011646,88011645,98676336,84748672,84748674,98676340,112670971,126533682,129932105,116033686,101987068,88011678,74406471,61627823,50145840,47079461,37184350,28663545,21417947,15427651,254733423,7043707,10665306,254557720,28663539,37184341,47079446,47079629,58457666,47079604,47079605,58457662,71179852,76897552,76897553,257659370,74405714,61627160,50145275,50145274,61627158,61627998,61627995,61627994,74406660,88011858,88011675,88011674,101986925,258890616,71179814,58457619,58457621,61627150,61627151,61627156,71179679,58457477,47079443,37184337,37184330,255962808,37184460,37184459,47079576,58457634,71179822,58457625,58457623,71179708,71179710,63787929,51972709,41664780,41490608,32610980,32610979,41490603,41490599,41490598,51761142,61628000,50145991,40124769,31445276,31445277,37184433,37184434,47079562,58457616,71179808,84748666,74406355,61627716,50145747,50145377,50145376,40166014,40166013,50145267,40124156,40124157,50145271,58457579,58457434,58457433,71179643,60516832,60516831,58457639,58457638,71179828,76897548,63787923,58457628,47079569,37184439,28663616,21417996,21417995,25061290,25061292,32610986,24946363,18431706,18431705,24946358,32610975,28663703,21418044,15427709,15427708,21418043,28663700,37184534,47079665,58457723,60516835,60516837,73262477,61627723,50145753,40124566,40124565,50145749,61627721,74405703,61627143,50145259,50145261,58457584,47079520,47079410,47079413,256865140,37184486,37184485,47079613,257444406,47079468,47079580,40166016,255833722,23846082,23846081,31338552,23846087,23846088,19844837,19844835,25776021,25776062,33565583,33565984,25776399,19135902,13664021,13664020,19135899,25776391,33356794,25663814,25663815,33433107,42425424,40017434,31338420,23845981,17504502,17504501,23845977,31338414,31338528,23846063,17504541,12342870,12342869,17504535,23846047,19158722,19158723,25805754,31338621,33568966,40017708,32793705,25094618,18547915,18547917,25094623,25094629,32793709,41709910,41709933,32793726,32793724,41709927,33223452,25475422,18874035,13449409,13449408,18874032,25094609,25094610,32793686,33603313,25805801,25805800,33603308,42628010,50037025,40017685,31338640,31338641,40017404,31338404,31338403,40017401,50036815,42627963,42627964,42628003,33603300,25805796,19158750,13680709,13680699,13680701,19158733,17504584,255280398,23846070,23846069,31338531,40017572,42627986,40017441,31338423,31338422,40017439,50036843,52020541,63835639,61515754,61515755,53075597,50037018,50037017,61515873,50037005,42628022,33603318,33603319,33603347,25805815,19158759,19158761,25805819,32793731,33603335,33603336,42628046,52017635,42585228,33568304,32975989,25805716,19158706,19158705,25805710,33603184,42627883,50036940,42183464,33223428,33223427,41732016,52046810,61515777,61515778,65058008,53075572,42627942,33603238,25805738,19158713,13680694,13680695,19158718,25805746,33603247,41731992,32811487,32811489,41731997,33603326,33603325,42628017,33603316,33603317,42628020,47911903,53075541,42628058,33603351,33603350,42183478,52542306,52017640,41707158,41707159,52017643,53075530,53075529,61779357,50300064,50300063,52046804,52020603,52020604,41732021,32811505,25108916,25108917,32811510,41707108,32791368,25092970,25092971,268734965,33603210,25805724,25805723,25805734,33603233,41732007,32811493,25108912,25108913,32811498,31595626,24092123,24092122,31595622,40279826,33603341,33603340,37995955,37995954,47911896,37995932,37995933,41707122,32791381,25092975,25092974,18546703,18546705,25092997,32791418,40017673,40017675,33603206,25805722,25805721,33603199,25805767,25805764,31595506,40279728,50299997,59306056,47911774,37995758,31595615,31595616,40279818,42628064,42627912,40279885,31595661,24092144,24092143,31595656,32811517,25108922,25108921,31595633,24092126,17734401,17734403,24092134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6934933, s2 = 14057381, dlinesl.size( ) = 22 s1 = 9433136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13299921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7058982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7058982, s2 = 10353090, int(edited[s2]) = 0 s1 = 7058982, s2 = 10353090, d1 = 25, d2 = 23 Dl.O(d1) = 261985182,105941668,120153529,125674623,257211760,84053660,70518509,57817215,46461076,36594812,256139448,20944371,20944370,28121682,28895536,21619969,15589702,15589701,21619968,21621742,18785774,13380182,13380183,13380193,13380192,12026693,12026691,17114218,23385413,17610893,12430746,12430747,15428229,10665686,10665685,15428244,13063228,13063226,14962715,11461102,8085470,8085469,5180875,3161124,1850577,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160049,18390748,13687791,9373884,9373881,13687781,12751061,12751063,9862303,6478388,6478389,9862310,14353676,18390592,18390589,13850594,9501596,6232147,6232146,9501590,13850580,19363724,17114287,17113171,12026032,8085166,5180434,3160885,1850453,1850450,3160873,5180411,8085124,8085392,8085389,12026449,13694123,13062846,13062845,13127320,18478013,25004518,24890657,18390537,18390536,256565213,50697819,62217954,75041087,260170481,119082039,104896218,269529072,270498299,256676416,41633054,255285710,25038905,32726269,41633055,51936427,257233846,257825968,59878292,48486716,48486717,59878295,72616667,86215179,100178965,114211267,128099910,141465540,154135376,165899537,263564239,194194669,263477388,184328763,174711516,163900128,261072778 Dl.O(d2) = 10316001,10316005,11537295,11537296,15035925,12095052,12095053,9097761,9097759,9097760,13317174,18710265,257772893,77292000,260258597,127298135,259352474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7058982, s2 = 10353090, dlinesl.size( ) = 2 s1 = 7058982, s2 = 10353090, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7058982, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 13354605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13354605, s2 = 15060758, int(edited[s2]) = 0 s1 = 13354605, s2 = 15060758, d1 = 21, d2 = 19 Dl.O(d1) = 52724335,52724334,64624531,77807033,91734731,105941948,120153792,114384453,111666251,97747268,97747267,83890589,70366125,57674472,57674473,57674470,256808415,28011921,20846163 Dl.O(d2) = 30598326,36990250,30118742,30118743,24559749,24559751,32141910,24807957,18319538,13003793,13003792,18319535,24807953,18319592,13003835,12849239,8737665,8737666,12849241,18121218,24559805,30598359,30598360,39195158,49122751,269397662,40919005,268461531,18121176,12849215,8737649,254888357,18121169,24559725,255659630,32141887,24559727,18319552,18319553,24807980,29730356,32141973,24559796,24559795,21276205,21276204,28493098,30598362,24559793,18121211,18121212,18135295,18135294,24577815,27239101,20308767,14574405,10028777,10028776,14574400,12849222,8737653,5688319,3538553,2106350,1213004,1213005,2106352,2143265,2143263,3594253,5770020,8853077,13003818,18319569,18552724,13182348,13182347,18552721,25101235,32803059,41723163,52038483,52038480,52038481,254621934,52083191,41769161,32848323,25142145,18587102,18587103,18757733,18757735,20009640,15345311,10599597,6993027,6993028,10599601,12129531,17247743,18271151,23556936,23556935,31039002,39716438,39716407,31039130,31039129,268986833,269388907,73992384,87592658,271850063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13354605, s2 = 15060758, dlinesl.size( ) = 2 s1 = 13354605, s2 = 15060758, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13354605, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 8272439, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8199332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3025108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6734754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10197755, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3025806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6784773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4017590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6589256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9451598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9451598, s2 = 14044806, int(edited[s2]) = 0 s1 = 9451598, s2 = 14044806, d1 = 22, d2 = 14 Dl.O(d1) = 59190785,47790581,37865996,29296707,21970242,255876803,37865994,47790580,59190782,71930296,85517775,99463654,91822090,77900738,64712087,52798272 Dl.O(d2) = 257038516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9451598, s2 = 14044806, dlinesl.size( ) = 2 s1 = 9451598, s2 = 14044806, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9451598, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 14163221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3312024, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9701642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9701642, s2 = 10335498, int(edited[s2]) = 0 s1 = 9701642, s2 = 10335498, d1 = 27, d2 = 30 Dl.O(d1) = 120288991,106088738,91893901,91893900,106088736,106088739,98782005,84855732,71282307,71282306 Dl.O(d2) = 98610209,98610210,258053420,84712123,258677732,98642551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3312220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3312220, s2 = 10249068, int(edited[s2]) = 0 s1 = 3312220, s2 = 10249068, d1 = 7, d2 = 13 Dl.O(d1) = 106088990 Dl.O(d2) = 261456691,263360519,263426056,211050536,211050537,205965491,199815338,192539675,184085122,174432082,163591656,151712935,139008961,125670276,125670275,125670273,125670274,261061175,125670279,261613921,262621433,163591652,262566324,263426056,211050536,273885014 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9183507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15858300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3028358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8270212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8270212, s2 = 8376980, int(edited[s2]) = 0 s1 = 8270212, s2 = 8376980, d1 = 23, d2 = 26 Dl.O(d1) = 138726712,259023370 Dl.O(d2) = 125403084,138726716,269985066,147342302,151422062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6785311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6785311, s2 = 11039230, int(edited[s2]) = 0 s1 = 6785311, s2 = 11039230, d1 = 25, d2 = 36 Dl.O(d1) = 258427111 Dl.O(d2) = 72037663,59301305,47906315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6785311, s2 = 11039230, dlinesl.size( ) = 2 s1 = 6785311, s2 = 11039230, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6785311, Dl.E( ) = 56, 1.91e-05 seconds used appending s1 = 13231691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13231691, s2 = 8105723, int(edited[s2]) = 0 s1 = 13231691, s2 = 8105723, d1 = 4, d2 = 10 Dl.O(d1) = 107819703,259108230,65908936,53842390,43318429,34220743,26346888,19617925,255305904,9668266,6358556,3989560,2391019,1383991,787273,787270,1376178,787173,787175,1383742,2390501,3988801,6357658,9667640,255305733,26285434,34153354,43243213,257221064,65816008,79174590,93299740,89723497,75944686,62963357,51287984,254952558,24686309,18219435,12922847,8791024,8791028,8917554,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917551,6011580,6011576,9184957,13434172,18855363,25454052,33200722,42160605,52518829,64392820,255717808,99003885,99003884,91962671,91962670,78035354,64838004,64838003,78035351,91962667,106161015 Dl.O(d2) = 147891377,134772639,120976138,106723974,106723972,92418396,92418397,92418399,78381091,65097373,65097372,65097376,53110595,42658744,33629753,25827686,25827685,33629751,42503884,33505127,254305088,13633170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13231691, s2 = 8105723, dlinesl.size( ) = 8 s1 = 8421470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8421470, s2 = 8371254, int(edited[s2]) = 0 s1 = 8421470, s2 = 8371254, d1 = 11, d2 = 8 Dl.O(d1) = 261861827,273353376,260790134,91966243,259683173 Dl.O(d2) = 91966242,78039061,64841981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10193959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8107724, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3030344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3314739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9709433, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16180825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6785763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3315229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9594648, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9476118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8217591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8469492, s2 = 6529332, int(edited[s2]) = 0 s1 = 8469492, s2 = 6529332, d1 = 24, d2 = 27 Dl.O(d1) = 261369874,260799842,106671887 Dl.O(d2) = 255617612,19157686,13914237,13914238,16660304,22889267,30287077,38402416,37262086,28729984,28729982,37262083,47167967,58556874,71288819,71288818,84863160,71288816,71288817,84863156,98791457,98791458,112783863,126642012,261111419,152694609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8469492, s2 = 6529332, dlinesl.size( ) = 26 s1 = 3316610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3316610, s2 = 3032721, int(edited[s2]) = 0 s1 = 3316610, s2 = 3032721, d1 = 0, d2 = 0 Dl.O(d1) = 106672579,92368519,78335630 Dl.O(d2) = 106672579,92368519,78335630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3316610, s2 = 3032721, dlinesl.size( ) = 2 s1 = 3316610, s2 = 3032721, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3316610, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8474601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8474601, s2 = 12270919, int(edited[s2]) = 0 s1 = 8474601, s2 = 12270919, d1 = 0, d2 = 0 Dl.O(d1) = 257146370,256119248,18760548,25340555,33070269,42014282,52353588,254112700,25464239,18864074,13441070,9190526,6016151,3763268,3763266,3763267,6016150,9190523,9850945,6470607,4129870,4129868,4053980,4053979,4053993,4053992,4108888,6558618,6470144,6470143,5998462,5998460,4054555,2426944,2426945,4054700,2427223,2427224,2426979,1403995,1403992,2426971,4054737,2470499,1427975,812248,812249,1427976,2426008,4053445,254077316,14334234,17351443,23670171,20816724,14920013,14920012,18825274,13412596,10259521,6741794,4224549,2526054,1455809,824299,824300,1303762,1303764,2247699,3753452,6001950,9170128,7449272,7449273,11225899,9170247,6002025,3753499,2247726,1303778,743880,743878,1303774,2247715,3753482,6002002,6405723,5990650,3745933,3745932,5990645,9153711,13181803,13181804,14897851,13389881,9153797,6021780,6021779,9197677,13326219,18720478,25127948,18575389,18575388,18796956,18796955,25381755,25128004,25101461,18552971,14192979,9756839,9756838,14192976,13200470,8998855,5875073,5875067,3668344,3668343,5875065,8998843,13200464,18575474,18575472,13200457,8998838,8998839,13200459,18574396,14896833,10243204,10243205,12936505,8800890,5732840,5732841,8800895,12936513,12936536,13663496,9756823,9756822,14192956,19814084,22157724,254300048,7385549,4665836,2810975,2810976,4665842,7385559,254300070,5482695,6020581,6020578,9196088,9179674,6008218,3757799,2250963,2250964,3757800,254112900,8480954,8480955,8324925,5372511,3303347,1943237,1943238,3303353,5372519,8324945,12324224,13419299,13419302,18831103,20275764,27203263,25479666,18877756,18877758,25428357,18834735,18834734,25428355,33170813,33228864,269080101,77497225,77497226,91428548,105655159,119894366,133765455,256634480,170745602,180885146,189778891,197446058,203972995,209417387,213884760,217552638,220614298,223219005,263339356,227431374,229145965,230660613,232010215,264868852,230500805,228960585,227215844,225218760,222921144,220254341,217106636,213320704,208695955,203066855,196346290,188486545,179461087,169199731,169199730,157762039,261386659,118308461,104153820,90028389,90028388,99842934,106675812,92371770,78338925,65060095,53077704,42630188,33605272,25807494,19159984,13681587,9369238,9369237,13681586,19159982,25807493,33605270,33614339,25814782,19165606,13685881,9372427,6139380,6139379,9372425,254656856,6074805,6074806,9274166,13547156,18984436,18984438,25594036,33354328,42335450,257802873,257214928,52722484,64622627,77805080,77805077,77805078,91732769,84661718,71098825,58382279,47011208,37124256,28613378,21377730,15395923,10640607,7024775,7024776 Dl.O(d2) = 257146370,256119248,18760548,25340555,33070269,42014282,52353588,254112700,25464239,18864074,13441070,9190526,6016151,3763268,3763266,3763267,6016150,9190523,9850945,6470607,4129870,4129868,4053980,4053979,4053993,4053992,4108888,6558618,6470144,6470143,5998462,5998460,4054555,2426944,2426945,4054700,2427223,2427224,2426979,1403995,1403992,2426971,4054737,2470499,1427975,812248,812249,1427976,2426008,4053445,254077316,14334234,17351443,23670171,20816724,14920013,14920012,18825274,13412596,10259521,6741794,4224549,2526054,1455809,824299,824300,1303762,1303764,2247699,3753452,6001950,9170128,7449272,7449273,11225899,9170247,6002025,3753499,2247726,1303778,743880,743878,1303774,2247715,3753482,6002002,6405723,5990650,3745933,3745932,5990645,9153711,13181803,13181804,14897851,13389881,9153797,6021780,6021779,9197677,13326219,18720478,25127948,18575389,18575388,18796956,18796955,25381755,25128004,25101461,18552971,14192979,9756839,9756838,14192976,13200470,8998855,5875073,5875067,3668344,3668343,5875065,8998843,13200464,18575474,18575472,13200457,8998838,8998839,13200459,18574396,14896833,10243204,10243205,12936505,8800890,5732840,5732841,8800895,12936513,12936536,13663496,9756823,9756822,14192956,19814084,22157724,254300048,7385549,4665836,2810975,2810976,4665842,7385559,254300070,5482695,6020581,6020578,9196088,9179674,6008218,3757799,2250963,2250964,3757800,254112900,8480954,8480955,8324925,5372511,3303347,1943237,1943238,3303353,5372519,8324945,12324224,13419299,13419302,18831103,20275764,27203263,25479666,18877756,18877758,25428357,18834735,18834734,25428355,33170813,33228864,269080101,77497225,77497226,91428548,105655159,119894366,133765455,256634480,170745602,180885146,189778891,197446058,203972995,209417387,213884760,217552638,220614298,223219005,263339356,227431374,229145965,230660613,232010215,264868852,230500805,228960585,227215844,225218760,222921144,220254341,217106636,213320704,208695955,203066855,196346290,188486545,179461087,169199731,169199730,157762039,261386659,118308461,104153820,90028389,90028388,99842934,106675812,92371770,78338925,65060095,53077704,42630188,33605272,25807494,19159984,13681587,9369238,9369237,13681586,19159982,25807493,33605270,33614339,25814782,19165606,13685881,9372427,6139380,6139379,9372425,254656856,6074805,6074806,9274166,13547156,18984436,18984438,25594036,33354328,42335450,257802873,257214928,52722484,64622627,77805080,77805077,77805078,91732769,84661718,71098825,58382279,47011208,37124256,28613378,21377730,15395923,10640607,7024775,7024776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8474601, s2 = 12270919, dlinesl.size( ) = 2 s1 = 8474601, s2 = 12270919, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8474601, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11656400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8328391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8218001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8218001, s2 = 5747738, int(edited[s2]) = 0 s1 = 8218001, s2 = 5747738, d1 = 37, d2 = 21 Dl.O(d1) = 33630944,25828747,19176710,19176711,25828750,33630946,42660034,53111961,258439797 Dl.O(d2) = 233303695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8218001, s2 = 5747738, dlinesl.size( ) = 42 s1 = 9470001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3318127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13246967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13246967, s2 = 1338510, int(edited[s2]) = 0 s1 = 13246967, s2 = 1338510, d1 = 19, d2 = 18 Dl.O(d1) = 23826199,23826200,31315517,39992336,46801965,36923816,36923817,40895909,40895910,32137831,24556254,22117588,16004487,11110962,11110963,16004491,22117594,24559408,24559406,32141452,32966298,39696149,39205189,38013279,38013009,30164613,22775163,22775165,30164620,24555587,18118125,12847351,8737447,8737446,12848874,18120579,18120578,24558890,32139314,24557521,24557520,255552188,32139127,38012989,29450953,29450956,38012992,32968115,32968116,41907454,52244645,50218827,50218826,49364278,39435019,30830831,23402724,17129914,17129913,23402721,23402720,28278728,28278727,36774584,41963954,49306673,40196866,31510915,24010793,24010792,18834060,13418969,9174865,9174868,13418980,18834082,25427599,33170033,37460177,30217627,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202082,16250871,16250873,21201962,21201963,28425349,36923876,40926751,37522260,28978316,21971173,21971172,29297898,25246758,18676114,18676115,25246760,18720872,13326591,9105600,9105599,13326590,18720869,25295101,18720875,13326592,13326593,18720878,23224883,30646969,39242961,49168458,42610896,33587154,268444283,24010810,31510940,29545363,29545364,29781510,22416065,16250927,11298128,7501039,7501036,11298112,16250902,16138509,11210849,7438533,7438531,11210831,16138478,22282656,255235408,258665091 Dl.O(d2) = 33645619,25842341,25842340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13246967, s2 = 1338510, dlinesl.size( ) = 20 s1 = 14202581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14202581, s2 = 6823183, int(edited[s2]) = 0 s1 = 14202581, s2 = 6823183, d1 = 1, d2 = 2 Dl.O(d1) = 152958778 Dl.O(d2) = 258879768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14202581, s2 = 6823183, dlinesl.size( ) = 2 s1 = 14202581, s2 = 6823183, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14202581, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 8328645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3318635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3319093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3319093, s2 = 10221747, int(edited[s2]) = 0 s1 = 3319093, s2 = 10221747, d1 = 54, d2 = 133 Dl.O(d1) = 106754132 Dl.O(d2) = 163418215,260748214,125499268,111693372,259536632,138831399,260748216,125499271,125499272,138831404,151534504,163418223,174268195,262366520,174268202,163418215,260748214,125499268,125499267,138831401,151534498,163418212,174268198,262836646,183932959,183932971,183932972,192402516,183932977,183932976,192402509,183932974,174268202,163418215,260748214,125499268,125499267,138831401,151534497,151534500,151534499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3319093, s2 = 10221747, dlinesl.size( ) = 2 s1 = 3319093, s2 = 10221747, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3319093, Dl.E( ) = 150, 5.98e-05 seconds used appending s1 = 14164458, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3319584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3319584, s2 = 4024572, int(edited[s2]) = 0 s1 = 3319584, s2 = 4024572, d1 = 3, d2 = 34 Dl.O(d1) = 106772434 Dl.O(d2) = 147944004,134824260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 3036622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9199048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8428158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3038074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3038074, s2 = 7011961, int(edited[s2]) = 0 s1 = 3038074, s2 = 7011961, d1 = 18, d2 = 26 Dl.O(d1) = 92520413 Dl.O(d2) = 261316602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3038074, s2 = 7011961, dlinesl.size( ) = 2 s1 = 3038074, s2 = 7011961, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3038074, Dl.E( ) = 56, 4.1e-05 seconds used appending s1 = 7559671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6614808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3039158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9472036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9472036, s2 = 15054813, int(edited[s2]) = 0 s1 = 9472036, s2 = 15054813, d1 = 1, d2 = 1 Dl.O(d1) = 7506363,7506364,7507050,7507049,11306126,11306127,16261677,22428650,29794763,38367458,29794754,22430025,16262832,11307035,11307034,16262830,22430023,29796346,38369059,38369060,268947055,46990050,37105293,28597287,21364509,15385411,10632449,10632450,15385412,21364510,28597286,21364506,15385409,10632448,7018485,7018484,7018504,4413438,2646604,2646605,4413421,7018483,7018482,10632446,15385406,21364502,28597281,37105289,33399742,267940608,52788475,52788478,64702351,77891218,77891219,91812348,106006415,105911266,91704062,77776524,64593790,52693201,52693200,64593788,77776523,91704060,105911265,120123170,126425571,126425572,139798672,129165911,129165912,115234774,101157279,87159283,87159284,87159290,73540957,268664984,49393109,60793732,73540954,87159286,101157284,115234779,257887686,122243477,136209023,149461089,155185892,155185893,155185894,166877645,159465257,147090720,147090719,155185904,142542383,142542382,137254873,268330468,119980137,105745376,105745378,119980140,119975705,267782456,254313578,95078450,81019432,254965248,95078447,95078448,109333136,123524617,123524621,255729690,81019440,81019439,95078456,95078454,81019451,67549760,55205905,55205904,67549759,81019450,95078473,109333161,109333179,119980130,105745372,105745371,119980133,105745370,91521686,77590705,77590706,91521677,91478062,91478061,77586314,77586313,91517379,77590695,64421987,52547942,52535388,52535389,52535390,52542995,42184289,42184290,52542997,52547943,254116172,25480323,18878248,18878247,25480321,20016286,14335644,14335643,20016281,20016282,26898207,34977564,44355265,44355261,34977559,26898203,26898202,33224297,25476242,18874726,13449991,13449992,13453027,9200114,6023519,6023520,9200117,10030384,6591999,4129781,4129782,6592001,10030388,14576709,20311744,25480327,18878251,18878250,20016279,20311739,14576705,14576706,14576707,14576708,20311742,27242523,254212980,44790082,42146540,33187229,25441846,25441847,33187230,254204196,64378438,64378437,64378460,52504661,43901156,34628713,34628714,43901158,43901162,34628718,26638923,19827019,19827018,26638921,25432839,25432838,257197033,64358738,64358742,257287772,66901593,66901592,257886052,80328942,268812874,43901136,34628699,34628700,43901138,54644318,66901599,80328947,94383653,108670508,108670499,94383630,94383631,94383644,94383645,94383656,89354982,75593748,62651141,54644295,43901123,34628691,34628692,43901126,54644300,66901584,80328929,94383641,103450436,89354977,75593750,65505345,65505344,65505346,257249407,33948890,26112531,26112532,33948891,257249409,65505351,78837588,92470407,92470406,106776259,121030175,107330058,107330059,92925647,92925646,93384680,79258102,65895578,53828328,43303334,256184989,19603347,19603346,19603351,26331260,34205051,43303342,53828332,43303346,256184991,19603353,14046474,9658357,6351019,3984870,2388254,2388253,2388281,1382561,254115493,250812,138403,75412,75413,138405,250817,445635,786527,775800,440423,440424,764242,775802,775801,764240,764239,254094975,75397,40817,22417,12455,6863,6860,12449,12298,12300,22076,40154,254076711,246815,246605,136228,135861,135860,245884,435370,765492,1340309,2310243,254454303,6162669,6162668,9406204,13730705,255692117,33687301,42717308,42718027,42718028,42718029,53167605,53167606,65151357,65152110,65152086,65152085,78434116,78434128,78434129,78434136,78434126,78434127,74037503,61257573,49778824,49778825,49778826,59163999,61257578,57961557,46584989,46584988,57961554,47765110,47765109,49774682,49774671,39756020,31078444,23595137,17282869,17282870,23595139,31078447,39756026,46584991,36698350,36698351,256118004,70680088,84233197,98128178,112088309,125922655,127191637,113333041,99330571,85386723,71798437,71798436,85386720,99330565,270843496,85386714,99330559,113333022,106906028,92587295,78539679,65249518,65249517,78539677,80308467,94364997,108653007,108653005,108653004,108653006,106905978,92587250,78539645,78539646,92587252,94364988,80308458,80308457,80308464,89326413,103419560,117548891,109585630,95330458,95330457,109585629,117222783,103106741,103106740,117222780,131021000,131349560,117548899,103419565,89326416,75568497,62629302,62629303,75568499,89326421,103419574,93015520,78905340,78905339,93015519,107424327,99616046,259052094,100245639,86281447,76028962,63046403,257145319,41179639,51365609,63046407,76028966,67804111,67804110,81271472,85068320,71495856,58766043,47378795,47378796,58766047,71495863,65331356,63046380,63046379,52516224,42157989,41179641,32363845,24747279,18273876,12969595,8827829,8827828,12969594,18273873,24747275,32363839,41179636,51365602,63046399,76028959,258404402,65766108,53709393,43197849,34111751,26247764,26247765,34111753,41024435,32232152,24634735,18179447,18179448,24634736,19530504,13983488,9605334,9605333,13983487,19265295,13769802,9439437,6187571,3872236,2318907,1344383,1344379,2318542,1356653,1356649,2341237,2342041,2342040,3909833,3909834,6245669,9522426,13880191,19403423,25032931,25032932,32719541,269064231,258370729,76028985,270467261,76028981,81173445,81173442,67707958,67707959,81173447,81173451,72031221,72031220,85619667,72031210,59294929,59294930,72031212,85372713,99317532,99570192,85619670,72031213,59294931,59294932,71783362,59041646,47639874,47639875,59041647,71783364,85372715,99317535,113321006,99317523,85372708,71783359,71783360,85372710,99317528,112543921,126413368,139787128,140822898,153503785,165299369,262701975,165299383,153503797,140822906,140822905,153503795,155240326,155240325,262703042,166925309,166925360,166925361,177463978,185485995,177463964,166925302,166925303,176012932,165318720,153525046,140846374,140846375,153525049,165318724,263140222,262703041,155240396,155240298,142603249,129232666,115304515,101226296,101226297,115304518,272238992,101226322,101226321,115304551,115304547,101226319,101226318,260090301,129232677,115304526,101226301,270872692,73603165,87225304,101226305,101226332,87225322,73603175,60853439,49451823,49451824,60853441,73603179,87225302,101226299,115304521,261808225,155240363,155240364,166925342,166925357,177463975,183126417,173280359,173280358,166925358,155240394,155240395,166925359,166925297,166925298,176932637,176932638,183526298,177463952,166925291,162754797,260569852,128616704,128616703,114719975,260549500,100673572,100673571,259330260,86700366,86700371,73096969,261229273,150830926,261546422,68434495,257900618,27378662,256244651,45047811,56025376,68262558,68262557,68857077,56349270,45297455,35737376,35737375,45297451,55831097,44895635,44895634,46060326,46060325,46075080,46075079,57355627,70005487,83537335,95860129,81798223,68273469,55839957,44902396,256242331,255345531,10059441,6609066,4139632,2475938,1431024,816924,816925,463010,260891,260886,463042,818850,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172492,14789944,20622602,27694606,35854011,27581548,27581543,35854080,45475690,45402068,35805609,35805608,45402063,45504713,45504711,56630225,69187006,82714853,257875322,70023151,73238363,60491540,53469610,53469611,65490528,78821302,82714852 Dl.O(d2) = 7506363,7506364,7507050,7507049,11306126,11306127,16261677,22428650,29794763,38367458,29794754,22430025,16262832,11307035,11307034,16262830,22430023,29796346,38369059,38369060,268947055,46990050,37105293,28597287,21364509,15385411,10632449,10632450,15385412,21364510,28597286,21364506,15385409,10632448,7018485,7018484,7018504,4413438,2646604,2646605,4413421,7018483,7018482,10632446,15385406,21364502,28597281,37105289,33399742,267940608,52788475,52788478,64702351,77891218,77891219,91812348,106006415,105911266,91704062,77776524,64593790,52693201,52693200,64593788,77776523,91704060,105911265,120123170,126425571,126425572,139798672,129165911,129165912,115234774,101157279,87159283,87159284,87159290,73540957,268664984,49393109,60793732,73540954,87159286,101157284,115234779,257887686,122243477,136209023,149461089,155185892,155185893,155185894,166877645,159465257,147090720,147090719,155185904,142542383,142542382,137254873,268330468,119980137,105745376,105745378,119980140,119975705,267782456,254313578,95078450,81019432,254965248,95078447,95078448,109333136,123524617,123524621,255729690,81019440,81019439,95078456,95078454,81019451,67549760,55205905,55205904,67549759,81019450,95078473,109333161,109333179,119980130,105745372,105745371,119980133,105745370,91521686,77590705,77590706,91521677,91478062,91478061,77586314,77586313,91517379,77590695,64421987,52547942,52535388,52535389,52535390,52542995,42184289,42184290,52542997,52547943,254116172,25480323,18878248,18878247,25480321,20016286,14335644,14335643,20016281,20016282,26898207,34977564,44355265,44355261,34977559,26898203,26898202,33224297,25476242,18874726,13449991,13449992,13453027,9200114,6023519,6023520,9200117,10030384,6591999,4129781,4129782,6592001,10030388,14576709,20311744,25480327,18878251,18878250,20016279,20311739,14576705,14576706,14576707,14576708,20311742,27242523,254212980,44790082,42146540,33187229,25441846,25441847,33187230,254204196,64378438,64378437,64378460,52504661,43901156,34628713,34628714,43901158,43901162,34628718,26638923,19827019,19827018,26638921,25432839,25432838,257197033,64358738,64358742,257287772,66901593,66901592,257886052,80328942,268812874,43901136,34628699,34628700,43901138,54644318,66901599,80328947,94383653,108670508,108670499,94383630,94383631,94383644,94383645,94383656,89354982,75593748,62651141,54644295,43901123,34628691,34628692,43901126,54644300,66901584,80328929,94383641,103450436,89354977,75593750,65505345,65505344,65505346,257249407,33948890,26112531,26112532,33948891,257249409,65505351,78837588,92470407,92470406,106776259,121030175,107330058,107330059,92925647,92925646,93384680,79258102,65895578,53828328,43303334,256184989,19603347,19603346,19603351,26331260,34205051,43303342,53828332,43303346,256184991,19603353,14046474,9658357,6351019,3984870,2388254,2388253,2388281,1382561,254115493,250812,138403,75412,75413,138405,250817,445635,786527,775800,440423,440424,764242,775802,775801,764240,764239,254094975,75397,40817,22417,12455,6863,6860,12449,12298,12300,22076,40154,254076711,246815,246605,136228,135861,135860,245884,435370,765492,1340309,2310243,254454303,6162669,6162668,9406204,13730705,255692117,33687301,42717308,42718027,42718028,42718029,53167605,53167606,65151357,65152110,65152086,65152085,78434116,78434128,78434129,78434136,78434126,78434127,74037503,61257573,49778824,49778825,49778826,59163999,61257578,57961557,46584989,46584988,57961554,47765110,47765109,49774682,49774671,39756020,31078444,23595137,17282869,17282870,23595139,31078447,39756026,46584991,36698350,36698351,256118004,70680088,84233197,98128178,112088309,125922655,127191637,113333041,99330571,85386723,71798437,71798436,85386720,99330565,270843496,85386714,99330559,113333022,106906028,92587295,78539679,65249518,65249517,78539677,80308467,94364997,108653007,108653005,108653004,108653006,106905978,92587250,78539645,78539646,92587252,94364988,80308458,80308457,80308464,89326413,103419560,117548891,109585630,95330458,95330457,109585629,117222783,103106741,103106740,117222780,131021000,131349560,117548899,103419565,89326416,75568497,62629302,62629303,75568499,89326421,103419574,93015520,78905340,78905339,93015519,107424327,99616046,259052094,100245639,86281447,76028962,63046403,257145319,41179639,51365609,63046407,76028966,67804111,67804110,81271472,85068320,71495856,58766043,47378795,47378796,58766047,71495863,65331356,63046380,63046379,52516224,42157989,41179641,32363845,24747279,18273876,12969595,8827829,8827828,12969594,18273873,24747275,32363839,41179636,51365602,63046399,76028959,258404402,65766108,53709393,43197849,34111751,26247764,26247765,34111753,41024435,32232152,24634735,18179447,18179448,24634736,19530504,13983488,9605334,9605333,13983487,19265295,13769802,9439437,6187571,3872236,2318907,1344383,1344379,2318542,1356653,1356649,2341237,2342041,2342040,3909833,3909834,6245669,9522426,13880191,19403423,25032931,25032932,32719541,269064231,258370729,76028985,270467261,76028981,81173445,81173442,67707958,67707959,81173447,81173451,72031221,72031220,85619667,72031210,59294929,59294930,72031212,85372713,99317532,99570192,85619670,72031213,59294931,59294932,71783362,59041646,47639874,47639875,59041647,71783364,85372715,99317535,113321006,99317523,85372708,71783359,71783360,85372710,99317528,112543921,126413368,139787128,140822898,153503785,165299369,262701975,165299383,153503797,140822906,140822905,153503795,155240326,155240325,262703042,166925309,166925360,166925361,177463978,185485995,177463964,166925302,166925303,176012932,165318720,153525046,140846374,140846375,153525049,165318724,263140222,262703041,155240396,155240298,142603249,129232666,115304515,101226296,101226297,115304518,272238992,101226322,101226321,115304551,115304547,101226319,101226318,260090301,129232677,115304526,101226301,270872692,73603165,87225304,101226305,101226332,87225322,73603175,60853439,49451823,49451824,60853441,73603179,87225302,101226299,115304521,261808225,155240363,155240364,166925342,166925357,177463975,183126417,173280359,173280358,166925358,155240394,155240395,166925359,166925297,166925298,176932637,176932638,183526298,177463952,166925291,162754797,260569852,128616704,128616703,114719975,260549500,100673572,100673571,259330260,86700366,86700371,73096969,261229273,150830926,261546422,68434495,257900618,27378662,256244651,45047811,56025376,68262558,68262557,68857077,56349270,45297455,35737376,35737375,45297451,55831097,44895635,44895634,46060326,46060325,46075080,46075079,57355627,70005487,83537335,95860129,81798223,68273469,55839957,44902396,256242331,255345531,10059441,6609066,4139632,2475938,1431024,816924,816925,463010,260891,260886,463042,818850,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172492,14789944,20622602,27694606,35854011,27581548,27581543,35854080,45475690,45402068,35805609,35805608,45402063,45504713,45504711,56630225,69187006,82714853,257875322,70023151,73238363,60491540,53469610,53469611,65490528,78821302,82714852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9472036, s2 = 15054813, dlinesl.size( ) = 2 s1 = 9472036, s2 = 15054813, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9472036, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 14164436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3040119, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6787379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13603145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8110093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8110093, s2 = 10357766, int(edited[s2]) = 0 s1 = 8110093, s2 = 10357766, d1 = 11, d2 = 7 Dl.O(d1) = 11700094,16745072,22982529,30384840,272877973,269847906,38103717,29540298,29540299,22821785,16601785,11578700,7707015,7707014,11578697,16601782,22821780,30213840,38207270,38207269,38207083,29640513,29640512,38207080,48117817,38797993,30213880,30213877,29640371,22288913,22288914,29003116,25935440,25935439,33742567,42773027,44782895,35359041,27236226,27236225,268836787,42323716,48177266,52456986,42104831,42104832,255814060,39696023,255384914,59579479,59579480,60771978,72314106,59579469,48193035,38283680,29716997,22360981,16208079,11267022,11267020,16208075,22360970,29716981,38283673,48134231,38224243,29658220,29658222,38070877,29658320,29658319,33159561,33159562,256158305,25873374,33679498,33680185,25874080,19215326,19215327,22261996,29612623,25873167,25856866,255412220,34197150,26324425,19597741,19597740,26324423,34197149,43294770,257007392,39149946,49080015,256133362,43865731,37811089,34581841,26594672,26594673,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,14177313,19792787,26598920,33045729,33045730,256512551,23751193,23751194,19789755,19789756,14183625,9750442,9750443,256198621,34578510,26591182,19786033,14172240,9743034,6406609,6406610,9743036,14172244,19786038,15823117,10965386,10965387,15823120,21903038,29217366,30847941,23417608,17141627,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,17425113,17425117,20281081,14552039,254696175,6581202,5521273,5521271,8522670,12568039,17760952,23138824,23138825,30556191,34578557,34578556,27211003,27211004,35334146,35334147,43855899,34584931,34584930,27110726,26608125,26608126,22431448,22431449,29797978,35334374,37778449,37778450,31641741,24134921,24134922,21898913,15820053,10963552,7257133,4576922,2753705,1596309,1596310,2753711,4576939,7257172,8498600,5500145,5500144,8498593,12536985,15821756,10964563,7257681,7257682,10964568,15821769,11808649,7887557,5009403,3028980,1762440,1762439,3028978,5009395,7258077,10965318,7998391,7998392,11948589,17033708,14552703,10013507,10013504,14552700,20281967,23396641,30824496,32313345,32313344,30698123,30698122,27938548,20785233,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,254796807,15821254,15821253,19047330,13597030,13597029,19047328,25667455,30217101,30217100,38801341,47258278,50555580,59349322,59349411,47958617,42764180,33734171,33734170,42764174,34197240,26324489,26324488,34197238,43294855,268083654,26324383,19597718,19597719,26324384,19597843,14042224,14042223,17261856,15405667,15405668,21389989,28628277,37141562,47029978,58401924,259158058,22208199,29553007,38117893,48031030,49104234,39173953,30576310,25653401,19034488,19034490 Dl.O(d2) = 274442407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8110093, s2 = 10357766, dlinesl.size( ) = 12 s1 = 14598367, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163644, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3593163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3593163, s2 = 14366767, int(edited[s2]) = 0 s1 = 3593163, s2 = 14366767, d1 = 29, d2 = 31 Dl.O(d1) = 122290142,107875609,260358999,107046482,260072062,53342229,42878649,33835980,33835979,257242649,65343502,78645569,92707074,271589979,135196678,262019687,160634071,171825131,181792810,190530766,190530764,190530763,198073801,204500937,209859631,214252297,217859012,264821912,203371002,196728197,196728196,196728199,188967004,180009342,169831395,169831396,180009343,182948133,182948132 Dl.O(d2) = 259712831,107083153,260923917,135230961,148396717,160657644,171844205,181808691,190544006,198084858,198084859,204510183,274054721,214259204,214259199,209867430,204510178,264105354,171844197,262021531,135230956,121380779,107083150,107083152,121380781,135230960,148396715,160657640,171844204,171844202,171844203,181808685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3593163, s2 = 14366767, dlinesl.size( ) = 2 s1 = 3593163, s2 = 14366767, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3593163, Dl.E( ) = 36, 1.19e-05 seconds used appending s1 = 3325175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3325175, s2 = 5921676, int(edited[s2]) = 0 s1 = 3325175, s2 = 5921676, d1 = 28, d2 = 64 Dl.O(d1) = 107061383 Dl.O(d2) = 237592432,238304719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3325175, s2 = 5921676, dlinesl.size( ) = 36 s1 = 13733815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13733815, s2 = 2668199, int(edited[s2]) = 0 s1 = 13733815, s2 = 2668199, d1 = 44, d2 = 40 Dl.O(d1) = 171834221,262515172,160644302,148379278 Dl.O(d2) = 86058724,86058725,258132246,258470982,75699608,89464587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13733815, s2 = 2668199, dlinesl.size( ) = 14 s1 = 8431779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7618328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7618328, s2 = 9352039, int(edited[s2]) = 0 s1 = 7618328, s2 = 9352039, d1 = 24, d2 = 30 Dl.O(d1) = 269540841 Dl.O(d2) = 29225947,29225949,37130677,28618863,28618861,28618873,28618872,37130692,47018167,58389370,71106058,58389383,58389382,67624547,55286672,44442739,35068745,26985344,20096216,20096217,22219854,29565612,38131362,48044636,59436521,269821273,71616090,83899519,76888541,63778570,57682970,57682775,57682776,58896470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7618328, s2 = 9352039, dlinesl.size( ) = 40 s1 = 2051697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2051697, s2 = 11458278, int(edited[s2]) = 0 s1 = 2051697, s2 = 11458278, d1 = 28, d2 = 33 Dl.O(d1) = 53390644,42924754,42924755,254669346 Dl.O(d2) = 139849591,261363360,164421325,175205339,184775659,193132464,200304279,206361562,211370521,215464925,218848594,221706679,274299230,228138648,265772640,232498506,233667449,234730816,266367722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2051697, s2 = 11458278, dlinesl.size( ) = 26 s1 = 3043496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3043496, s2 = 9502529, int(edited[s2]) = 0 s1 = 3043496, s2 = 9502529, d1 = 5, d2 = 20 Dl.O(d1) = 92769647 Dl.O(d2) = 262022911,171871836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3043496, s2 = 9502529, dlinesl.size( ) = 8 s1 = 3326626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3326626, s2 = 6972201, int(edited[s2]) = 0 s1 = 3326626, s2 = 6972201, d1 = 10, d2 = 95 Dl.O(d1) = 107129429 Dl.O(d2) = 264838776,264314440,204029070,197509732,263283914,180973820,180973819,170853471,159524649,260785826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3326626, s2 = 6972201, dlinesl.size( ) = 28 s1 = 10172518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10172518, s2 = 11427808, int(edited[s2]) = 0 s1 = 10172518, s2 = 11427808, d1 = 58, d2 = 45 Dl.O(d1) = 136158109,122195391,107789886,93367465,79239364,65874809,53806682,53806681 Dl.O(d2) = 188937465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10172518, s2 = 11427808, dlinesl.size( ) = 2 s1 = 10172518, s2 = 11427808, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10172518, Dl.E( ) = 66, 2.19e-05 seconds used appending s1 = 11657950, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8382573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9193285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9155910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9155910, s2 = 7609102, int(edited[s2]) = 0 s1 = 9155910, s2 = 7609102, d1 = 8, d2 = 6 Dl.O(d1) = 259721152,121771468,258460734,92975633 Dl.O(d2) = 269307507,28420611,28420610,259417697,114383545,260339424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9155910, s2 = 7609102, dlinesl.size( ) = 8 s1 = 9688556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9688556, s2 = 14164669, int(edited[s2]) = 0 s1 = 9688556, s2 = 14164669, d1 = 1, d2 = 1 Dl.O(d1) = 11521946,11521947,16532093,11522641,11522640,16532880,22740503,16535545,16535546,22743384,256432723,22739605,16532065,16532066,16531856,11521766,7664315,7664316,11521771,16531861,16535037,11524482,7666437,4850766,4850765,7666433,7666606,4850907,4850908,7666608,7666615,4851313,4851312,7667127,11525158,7667123,7664665,4849461,2923371,2922940,1695530,1695531,2922944,2922901,1695506,1695507,2922903,4850526,7666175,11524196,16534701,22742493,30124883,38701721,38701732,30124888,30124886,38701728,48616668,60006898,72742340,86338656,86338657,100299833,260030852,61215173,61215172,72163154,72163153,73993788,73087537,73087535,60348588,60348589,60348586,60348585,73087532,61215263,49737085,39718607,31041142,23558841,23558840,31041139,257044857,61215259,61215256,49737089,39718609,39718610,49737090,60348581,73087527,73087548,86691130,100663688,258858800,87593863,86691127,86691128,100663686,114709112,128605906,141966717,153265280,140584251,127239392,127239389,113382311,99382405,99382406,258722259,59119691,59119692,71857473,85442070,99382412,272200879,149461652,136209639,259972498,259108365,259108367,94360031,100787939,107402082,92991804,78880180,65545048,53520864,43042358,43042357,53520862,65545045,78880178,92991803,260107903,115758618,101712375,87738145,74132383,74132384,87738147,87738152,87738151,87738137,87738136,87738138,101712368,101712367,259898949,258652999,58115480,46746145,36865509,36865508,29108659,21809875,15748022,10906860,7213515,4544996,4544995,7213512,10906849,15747995,255816332,18685156,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,21150842,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,17356520,12226944,8255167,8255170,12226914,17356458,17356688,17357135,12227337,12227334,17357131,17516464,12352196,8345472,8345476,12352212,17516495,23859941,256522437,33769659,256680983,29339313,29339314,28370807,21153872,15198618,10482850,6911316,6911317,10482851,15198619,19295658,254944071,6202701,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906999,15198072,15198070,16945048,23217441,23222287,16949231,11862305,11862304,16949227,21151668,28368346,28370849,28365706,28365705,21151684,15197123,15197122,21149448,28365637,36863926,39846325,31164074,31164073,23675747,17355910,17355911,17355872,12226531,8254940,8254937,9340651,9340653,13640417,19104758,25737777,31165618,30645452,23223156,16949980,16949981,22453136,16948290,16948287,23221281,16950434,11863109,11861619,7927365,7927362,9967889,9967887,11632989,16666990,22897249,30295839,28451575,28451576,36951740,46829761,58195675,58116057,256839913,36867646,46747169,58116058,70830933,84388298,98296932,112278460,112356068,112356080,257179270,70908356,58195680,58195681,70908358,84464673,86235136,72632386,59890267,48496300,46438702,36573682,28102130,28102129,255982194,257029432,84029882,97899791,111833054,125648152,138986235,260000578,127926356,127926357,127926360,114045276,258134306,100018026,114045277,127926362,141287739,153959608,261177772,185835577,194066086,194066082,194066083,201118319,207060471,207060469,201118323,201118324,207060475,211963738,211963737,264221440,212468503,264221444,207652785,201811795,194872694,186766298,177458220,166918607,166918605,177458217,186766295,177458226,177458225,166918614,155232714,155232713,155232712,142594943,129223613,115294974,260687709,142594944,142594947,154770993,166476282,166918615,177458234,186413402,186413401,186413403,186413404,186766304,186413400,186413398,194568356,194568357,273732825,186413392,186413393,194568353,194568354,194568355,264006217,195754039,187802139,187802131,178681075,178681076,187802133,195754045,202562614,202562615,208284735,264605537,208717313,203092611,196376898,188522234,188522232,179503543,169250412,157820303,157820302,157820304,169250415,157820305,145418950,145418947,132189145,118372291,118372290,104212922,90081005,76269107,63250236,63250234,51533864,256599865,32468171,41313289,269048637,256599863,32468169,41313287,51533862,63250232,76269105,88162421 Dl.O(d2) = 11521946,11521947,16532093,11522641,11522640,16532880,22740503,16535545,16535546,22743384,256432723,22739605,16532065,16532066,16531856,11521766,7664315,7664316,11521771,16531861,16535037,11524482,7666437,4850766,4850765,7666433,7666606,4850907,4850908,7666608,7666615,4851313,4851312,7667127,11525158,7667123,7664665,4849461,2923371,2922940,1695530,1695531,2922944,2922901,1695506,1695507,2922903,4850526,7666175,11524196,16534701,22742493,30124883,38701721,38701732,30124888,30124886,38701728,48616668,60006898,72742340,86338656,86338657,100299833,260030852,61215173,61215172,72163154,72163153,73993788,73087537,73087535,60348588,60348589,60348586,60348585,73087532,61215263,49737085,39718607,31041142,23558841,23558840,31041139,257044857,61215259,61215256,49737089,39718609,39718610,49737090,60348581,73087527,73087548,86691130,100663688,258858800,87593863,86691127,86691128,100663686,114709112,128605906,141966717,153265280,140584251,127239392,127239389,113382311,99382405,99382406,258722259,59119691,59119692,71857473,85442070,99382412,272200879,149461652,136209639,259972498,259108365,259108367,94360031,100787939,107402082,92991804,78880180,65545048,53520864,43042358,43042357,53520862,65545045,78880178,92991803,260107903,115758618,101712375,87738145,74132383,74132384,87738147,87738152,87738151,87738137,87738136,87738138,101712368,101712367,259898949,258652999,58115480,46746145,36865509,36865508,29108659,21809875,15748022,10906860,7213515,4544996,4544995,7213512,10906849,15747995,255816332,18685156,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,21150842,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,17356520,12226944,8255167,8255170,12226914,17356458,17356688,17357135,12227337,12227334,17357131,17516464,12352196,8345472,8345476,12352212,17516495,23859941,256522437,33769659,256680983,29339313,29339314,28370807,21153872,15198618,10482850,6911316,6911317,10482851,15198619,19295658,254944071,6202701,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906999,15198072,15198070,16945048,23217441,23222287,16949231,11862305,11862304,16949227,21151668,28368346,28370849,28365706,28365705,21151684,15197123,15197122,21149448,28365637,36863926,39846325,31164074,31164073,23675747,17355910,17355911,17355872,12226531,8254940,8254937,9340651,9340653,13640417,19104758,25737777,31165618,30645452,23223156,16949980,16949981,22453136,16948290,16948287,23221281,16950434,11863109,11861619,7927365,7927362,9967889,9967887,11632989,16666990,22897249,30295839,28451575,28451576,36951740,46829761,58195675,58116057,256839913,36867646,46747169,58116058,70830933,84388298,98296932,112278460,112356068,112356080,257179270,70908356,58195680,58195681,70908358,84464673,86235136,72632386,59890267,48496300,46438702,36573682,28102130,28102129,255982194,257029432,84029882,97899791,111833054,125648152,138986235,260000578,127926356,127926357,127926360,114045276,258134306,100018026,114045277,127926362,141287739,153959608,261177772,185835577,194066086,194066082,194066083,201118319,207060471,207060469,201118323,201118324,207060475,211963738,211963737,264221440,212468503,264221444,207652785,201811795,194872694,186766298,177458220,166918607,166918605,177458217,186766295,177458226,177458225,166918614,155232714,155232713,155232712,142594943,129223613,115294974,260687709,142594944,142594947,154770993,166476282,166918615,177458234,186413402,186413401,186413403,186413404,186766304,186413400,186413398,194568356,194568357,273732825,186413392,186413393,194568353,194568354,194568355,264006217,195754039,187802139,187802131,178681075,178681076,187802133,195754045,202562614,202562615,208284735,264605537,208717313,203092611,196376898,188522234,188522232,179503543,169250412,157820303,157820302,157820304,169250415,157820305,145418950,145418947,132189145,118372291,118372290,104212922,90081005,76269107,63250236,63250234,51533864,256599865,32468171,41313289,269048637,256599863,32468169,41313287,51533862,63250232,76269105,88162421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9688556, s2 = 14164669, dlinesl.size( ) = 2 s1 = 9688556, s2 = 14164669, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9688556, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6937942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6937942, s2 = 7928446, int(edited[s2]) = 0 s1 = 6937942, s2 = 7928446, d1 = 32, d2 = 36 Dl.O(d1) = 260340958 Dl.O(d2) = 257860070,6269763,6269762,9555163,13921389,9661267,9661269,13442991,13259717,13259718,15477848,17056355,17056356,21839742,23321723,17056492,15770146,11965861,11965862,17056955,22915912,17421393,15797084,10945415,10945413,8010115,7222842,7222843,10920953,15768620,21838195,23321814,17056599,11965420,8009568,8009567,7249107,4570953,4570954,7222556,10920675,11966002,11965985,8010181,5099292,5099293,8010185,7243047,7243048,8009369,11965173,15768897,16460580,17056942,11965848,8010047,8010048,7223219,4551237,2735848,1585213,1585214,2735851,2735856,2735854,4551245,7223234,10921363,8009471,5098721,5098719,4558707,4558706,7232229,8009393,11965213,17056360,16682547,11644843,7757936,7757939,7758060,255057499,7225388,7225390,10923606,15771145,17057028,11965953,8010142,5099269,3095091,1808406,1808407,3095094,5099275,8010155,11965963,10922884,7224646,5388734,3313596,3313597,5388736,7228004,7229160,7229006,7229004,10927791,10928032,7229288,4556217,2739358,2739359,2735991,2735990,4551444,2737741,2737742,254230633,1587680,2738783,1586958,1586957,2738781,2738760,1586941,254121903,508824,902120,1586945,2738764,4555423,4550816,2735542,254342245,2735608,1585075,901115,901116,1584904,901017,901015,1584898,2735282,4550393,4550867,2735584,2735583,2739069,2739070,2739082,2741116,2739094,2739093,2735451,2735453,4550668,7222514,7231960,4558434,2740963,1588393,902938,509253,285508,157769,157770,285510,509255,902943,1588401,254342861,1587648,902534,509038,285399,285401,509042,902542,1587664,2739715,2737029,2737028,4552958,4556788,4556789,4558243,4558262,2740836,2740837,254512885,2736872,1585793,1585794,2736876,254512887,10923307,7227928,7227929,4913371,4556710,4553393,4553394,7225798,7229781,7229866,4556718,4556716,7229865,7227922,4554981,2738458,1586752,1586754,2738462,4552182,2736481,2736482,1585635,1585638,1588622,1588623,2741339,4558946,7227868,4554938,2738417,1586723,901991,508745,285254,157640,254085631,254121897,508594,508593,901684,1586162,2737478,4553530,7225968,9865852,9865853,10924253,7226098,4553655,4552909,2736987,1585864,901538,508517,508516,901533,1585858,1585869,2736998,4552921,7225278,10921858,7223727,7223728,7226065,7226062,10924227,15771706,268005531,3474507,5598026,8612676,12680867,255595287,30207685,31417271,23927282,22446483,16277081,11318344,255094839 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3821321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8287954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6971559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3587957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3330951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6734882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3049571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3049571, s2 = 13784938, int(edited[s2]) = 0 s1 = 3049571, s2 = 13784938, d1 = 0, d2 = 72 Dl.O(d1) = 93236153 Dl.O(d2) = 198713342,191239369,191239368,182558071,263404407,198713345,205045007,264665731,205045005,198713343,264105013,210290377,264105015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 6529333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3049907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3050165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3050216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164662, s2 = 15609186, int(edited[s2]) = 0 s1 = 14164662, s2 = 15609186, d1 = 17, d2 = 29 Dl.O(d1) = 259582232 Dl.O(d2) = 41277639,256582556,255615960,18162426,12880185,254806040,5769076,8851948,13002387,18317810,18268150,12964467,8823715,5749103,5749104,8823718,12964474,10607907,6999225,6999226,8824507,5749657,3772711,3772716,5747149,3578566,3578564,5747144,8820972,267922537,3572532,2129478,1228988,1228991,2129487,3572555,3771611,3771613,6028696,9208751,13466504,18898149,25508611,30083405,22701558,16497996,16497998,18269865,12966271,8825267,5750275,5750274,8825262,12966261,9223991,9223990,13482672,16504575,11500638,11500639,255489645,256430381,25517648,22641337,22641336,30013063,32343518,41158256,256179782,33272933,42252391,52637617,64536299,77717447,91644383,105852046,98552740,84628890,71065525,58349260,58349259,46979883,37096397,28589802,28589801,37096395,46979879,58349263,71065520,58349253,46979871,37096388,37096389,46979872,58349252,258671911,84628881,71065512,71065513,84628877,98552725,112546608,261097650,98552733,84628885,71065515,71065514,84628883,98552730,112546616,126416212,126416215,126416216,139789883,139789884,152507961,164372700,164372708,175162847,164372689,164372690,175162849,175162850,164372691,152507957,152507958,164372694,175162855,172645915,161470892,161470889,149185162,135961465,122034205,107660023,93257686,93257685,79142712,65788531,65788530,259101933,107660016,107660015,93257681,258226190,257037200,43220604,53732583,53732584,65788533,79142714,80307737,80307738,94364401,108652464,122917573,133956662,133956661,133956671,133956670,133956684,120114808,105902839,91695478,77767932,64584964,52684370,52684371,64584966,77767936,91695486,105902851,120114822,122892405,122892406,120114819,105902849,260284863,120114786,261446949,140556913,260968775,122892409,136724261,122892408,108628256,108628255,94341209,80285189,80285190,80285185,66855634,54596877,54596876,43852491,43852492,54596885,258502159,94341214,270830057,85408204,99351480,113353191,260747059,102325633,88329820,74702127,61908668,50418265,40383858,31690375,24181841,17813509,17813510,24181843,31690377,40383860,50418267,61908670,63248688,51532300,257739975,63248691,75654702,89416253,103509881,114875616,114395187,100372015,100372014,259136088,73229810,60482785,60482786,73229794,60482772,49079232,39149268,39149269,49079234,60482775,73229798,86843004,86843007,270111862,73229811,84544563,70981300,70981301,73229813,60482789,49079241,39149274,30551384,23133257,16873006,16873007,255963619,39149284,49079255,60482808,73229838,86843043,100824584,100824567,86843030,257888110,49079245,49079246,60482797,73229822,84544555,84544554,86416208,72821279,60084102,48688207,38766459,38766460,48688209,60084104,72821284,86416212,98198524,98198541,98198534,98198535,84302317,74550242,61766320,61766319,74550239,70750662,58036448,46663843,36778622,36778623,46663845,58036451,46899637,37021746,37021747,46899642,58265889,70981270,84544534,72212298,72212297,66011131,53941488,257424500,38172201,38172202,48084519,59474743,49845270,47907347,256513226,61328311,65943589,53875975,43350802,34250748,34250747,43350800,53875972,65943586,79308050,79308051,91276752,84638268,71075306,58358638,58358637,64586749,258415317,58036483,58036482,48691969,38769956,31578243,31578244,40265307,46663863,36778635,28282573,28282574,24072574,24072575,31578242,257087733,38769930,30186154,30186155,38769931,30812637,30812636,257029267,60088135,72825404,259419179,86420132,72825290,60088058,60088059,58072839,46700854,257415685,70790080,72825288,72825289,86420130,73499098,73499097,86420325,100376054,114398977,127380085,113509984,99498521,85551701,85551702,99498524,88165605,88165604,259526292,102156992,259943302,99498537,270299604,258697798,88165609,88165608,102157003,98254286,84346807,70787814,70787815,84288661,98184535,98254319,84346851,70787847,58070448,50069420,40050179,40050180,50069421,61547405,74323536,84671837,259301343,259983372,101113167,101113166,115191303,112588383,98595042,84671839,71108708,58391931,47020719,47020718,58391930,257799578,71108720,84671855,98595046,98595063,84671868,84671869,84671870,98595065,112588397,105749663,258190634,52552274,52552275,64426267,77594922,74102400,74102399,61319464,49836406,39813110,39813111,49836408,61319461,49836403,39813109,31130840,31130839,39813107,49836397,61319452,74102392,74102443,61319509,49836450,39813142,39813143,49836452,61319411,49836352,49836351,39813119,31130847,31130848,39813122,49836424,61319477,61319515,49836461,39813149,31130864,23643402,23643403,31130867,268990509,39813189,31130896,31130897,38366136,38366135,48277736,49836498,49836487,39813176,39813177,49836488,61319531,61319435,49836381,49836377,49836379,49836388,49836387,61319444,74102385,74102494,61319565,49836520,39813195,31130903,23643421,17326824,17326825,23643424,31130911,39813209,49836536,61319588,61319492,61319493,74102426,74102422,61319491,49836528,49836529,61319576,74102510,87708397,101682175,101682151,101682150,115727182,129623198,260631980,100321523,87708274,74102376,61319568,61319567,74102502,87708391,100321439,114348152,114348154,128226628,262744425,186049085,273362154,263922752,212090167,216077678,219380963,222172364,224569101,265401912,228466189,230061112,231476220,232675037,231399330,265835576,228371170,226543627,264947800,219219727,215887454,211859069,206928966,200961600,193886752,185632236,176171440,165492856,153714094,141047020,127697269,113827748,269770472,72267678,59533619,48146330,38236412,255012928,22319876,254922978,48146331,256130220,72267679,85859362,257791918,127697271,141047021,153714096,165492858,173218297,162118622,162118619,149906896,136766215,122935253,260971919,149906899,162118626,162118623 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9605812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13543455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13543455, s2 = 11659915, int(edited[s2]) = 0 s1 = 13543455, s2 = 11659915, d1 = 1, d2 = 1 Dl.O(d1) = 74713181,88341046,93369734,93369732,79241620,79241619,93369730,259187404,93369733,107792233,102337508,258558454,79241618,93369712,259736521,102337520,91830264,77909679,64721519,52807662,52807661,52807658,42407436,256143083,25649414,33417255,42407434,52807654,64721512,77909668,91830256,91830257,106024429,120225992,134060859,147279282,147279283,262486281,170055254,158698245,146330166,133103128,119273314,105080382,259162074,32855592,25148621,18592194,18592193,25148620,257765929,77020854,90900556,105080380,119273310,133103127,146330164,158698238,262913705,189155876,196895919,195392446,263257969,167664723,156059426,143523621,130194759,116356829,102262731,88264479,74634132,257675273,40330953,31642141,24135525,24135526,31642143,40330955,50357893,61841915,58571202,47182229,37276085,256056890,21485465,28743543,32524168,31168267,23680002,17359762,254841587,3274366,2985015,2985014 Dl.O(d2) = 74713181,88341046,93369734,93369732,79241620,79241619,93369730,259187404,93369733,107792233,102337508,258558454,79241618,93369712,259736521,102337520,91830264,77909679,64721519,52807662,52807661,52807658,42407436,256143083,25649414,33417255,42407434,52807654,64721512,77909668,91830256,91830257,106024429,120225992,134060859,147279282,147279283,262486281,170055254,158698245,146330166,133103128,119273314,105080382,259162074,32855592,25148621,18592194,18592193,25148620,257765929,77020854,90900556,105080380,119273310,133103127,146330164,158698238,262913705,189155876,196895919,195392446,263257969,167664723,156059426,143523621,130194759,116356829,102262731,88264479,74634132,257675273,40330953,31642141,24135525,24135526,31642143,40330955,50357893,61841915,58571202,47182229,37276085,256056890,21485465,28743543,32524168,31168267,23680002,17359762,254841587,3274366,2985015,2985014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13543455, s2 = 11659915, dlinesl.size( ) = 2 s1 = 13543455, s2 = 11659915, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13543455, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14164084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165158, s2 = 9333398, int(edited[s2]) = 0 s1 = 14165158, s2 = 9333398, d1 = 26, d2 = 28 Dl.O(d1) = 11337320,16294884,22463059,24031308,31533473,40219329,44724735,40219501,257084044,24031472,24031473,24031313,17680627,17680626,24031311,31533351,31177337,23688252,23688250,29830412,29830413,38402569,31533356,24031209,24031210,31533358,31533581,24031419,24031418,17680698,17680699,17680827,24031068,31533212,39262746,268435486,55427637,55427636,63725189,51916486,41614818,41614817,39860156,31177387,255552945,12235234,8261624,8261625,12235237,17366617,17366451,12235129,12235130,17366452,21358715,28590093,37096691,46980253,46980254,58349667,71065997,84629374,84075998,70539083,57837330,46481335,36615008,256421554,43893573,43893572,34621766,34621765,42131485,42131484,256421556,64356737,77521973,91451522,105674867,119910227,133778603,146301799,261198434,119244228,105051405,90872131,76993556,63882799,52064468,41750553,32829798,25125151,18572913,13198211,8997158,5874001,5874002,8997160,13198215,18572920,25125157,32829806,32827166,25122933,18571210,13196982,8996363,8996364,13196986,18571221,25122949,32607778,32607777,26001670,268155191,9479426,6215787,6215786,9479422,255291043,26001660,33818445,42859767,33819445,26002228,26002227,33819442,33819455,26002251,19329478,19329479,26002253,33819458,26003333,26002468,26002469,268767519,26002066,19329330,13822222,13822223,19329333,26002069,33818107,33818106,42859493,52050474,41737033,41737032,33817808,33817809,32815441,32815442,39896108,39896106,42861036,41736282,32815570,32815571,33818022,26000920,19328498,19328497,26000931,28324874,28324873,36820030,32173545,32173544,268338581,14438312,14438313,20131135,26000954,26000953,33818054,33819354,26002136,26002137,24587471,19329437,19329436,26002200,33819421,42860649,258451151,78618934,92674038,107007043,121299684,135149483,148321964,140767606,127411805,113541450 Dl.O(d2) = 255882771,15947265,11066564,11066565,11058031,7332384,4632016,4632017,7332387,11058039,15935807,16838111,11774925,11774924,16838106,15950581,15950582,22054277,22048941,15960334,15960333,11077123,11077124,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072997,15955373,22053543,22053542,29383630,26603005,19796579,19796578,15965898,11081604,11081605,15962802,14190618,9755028,268042879,18928613,13494084,9231956,9231884,6046120,6046124,9231903,13493997,18921525,13489179,13489178,18921516,18929104,18929102,25541716,20809850,14914223,10255116,10255113,14914220,20809846,24139775,17775499,17775500,21214916,28440354,31430576,31430571,40110160,50130555,51587115,41365048,41365049,51587117,59048524,51587118,51587119,63306174,60621510,57856775,46500740,46500741,57856778,70558243,59049047,47647717,44837121,35411849,35411851,44837126,37725281,29165364,29165363,24040129,17688281,255579805,31543412,40229746,38040067,38040068,39103562,39103561,41985459,33041581,33041582,41985462,50332030,257191888,44347755,34970233,26891146,26891145,271530712,259779125,260983799,150286956,262054013,261918734,260953991,261520502,145193311,259739632,258478896,256706626,47417310,41536775,32649045,29165739,29165738,25509575,25509574,33270216,42249618,41215578,32392730,32392731,255698956,8805094,254307064,2128891,1228728,1228727,2128951,2708599,2708600,2263120,2263121,2263106,2263107,2262632,2262634,3777107,6037490,9220132,255264791,25519918,29300510,37870106,47794912,37870947,29301331,29301329,37729320,29169040,21859653,21859654,29169043,37729326,47651238,49321118,39393033,30790414,30790413,39393030,39392473,39392474,49320589,60722899,49320701,39392581,30790025,30790024,39392580,39393185,256118208,255980589,17095305,12008616,8065809,8065810,12008626,8065842,5159560,5159559,8065836,12008687,17095423,23364277,23364276,17095554,12008765,8065883,5159579,3142923,3142924,5159581,8065886,12008771,17095562,23364660,30790580,257027727,60723554,73471727,87089502,101086018,115162492,113550330,259360063,85591677,99538804,113550338,127421255,135900514,121978256,121978254,135900511,260374810,121978032,121978031,135900278,135900286,135900287,128771238,128771239,142125328,272402704,153457378,140777268,140777261,140777259,153457372,140777284,127421181,127421182,127421187,127421186,140777287,140777313,140777314,140777179,140777180,140777275,127421161,113550214,113550213,107608284,93207992,93207991,107608272,121978243,121978239,121978240,113550264,99538756,99538752,99538753,113550278,127421217,140777309,147902352,134783958,134783956,147902350,160151317,161408028,149120897,149120896,161408026,149121121,135900507,121978250,121978249,135900504,140777246,127421143,127421142,113550194,113550195,121978052,113550250,113550239,99538730,99538732,113550244,127421192,127421229,113550291,113550292,127421074,127421169,113550218,99538697,99538696,85591597,72004634,72004633,85591592,99538709,113550228,113550272,99538749,85591627,85591628,99538759,113550282,127421220,127421039,127421037,113550093,113550092,127421034,135900299,135900300,149120916,140777271,127421157,113550205,99538685,85591577,72004623,59268433,47872730,37954282,29389110,22058439,15954258,11072097,11072099,15954262,22058444,29389083,22058416,22058417,29389085,37954260,37943647,37943646,47862410,270315937,258174008,59268403,256440216,32099253,255940454,40871027,32099254,24523996,18092714,18092713,21542136,15525523,15525522,255843797,37348392,256377989,256920249,32099259,24524002,18092719,12827534,11068494,11068493,15949589,15934423,11057092,7331808,7331807,11057090,15934419,22036169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165158, s2 = 9333398, dlinesl.size( ) = 2 s1 = 14165158, s2 = 9333398, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165158, Dl.E( ) = 30, 1.5e-05 seconds used appending s1 = 9333399, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10173003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10173003, s2 = 14673772, int(edited[s2]) = 0 s1 = 10173003, s2 = 14673772, d1 = 18, d2 = 17 Dl.O(d1) = 20136725,20136726,27029415,35116079,39796796,39796795,49817474,58333740,48386325,38645628,30070095,22690715,16489843,11489139,11489140,16489845,14908080,10250559,10250558,7641584,7641585,11489146,16489854,22690732,30070087,38645596,30070065,22690700,22690701,30070067,22690723,16489848,16489847,22690720,30070102,38645642,48560958,38645616,30070084,268231825,16489838,22690709,30070086,38645617,48560964,48560961,48560962,59953106,59953100,59953101,72691367,59953062,59953063,270336213,72691460,59953149,59953148,61282680,49804399,39785135,31105937,31105936,39785133,49804396,61282677,74062154,270895429,86289507,72691442,59953131,258161701,59953055,59953056,72691356,72691358,270855155,259410296,59953138,59953139,72691448,73078454,60338325,50541465,40506142,40506141,50541463,257921966,58832012,59534296,48147244,48147245,256975432,37702673,37702672,41652030,41652032,51959244,58034347,50541479,46661699,46292612,36439492,31693360,31693362,40386617,39720074,39720073,39720095,39720094,31043276,29672474,22321151,22321152,29672478,38237628,29672376,22321090,255087445,7462835,4715997,2841119,2841118,4715992,7462825,11243021,16175832,22321037,29672312,255491010,40386224,31692855,31692856,39720215,47684191,256363435,21888133,15811572,254753839,7252525,255433791,29200626,37762019,40386222,38237444,29672165,23560523,23560522,29672166,267894902,17250033,12131153,8161925,8161924,268654782,8161995,8161996,12131294,17250304,268427441,17102742,12017063,8076369,5171489,3153430,3153429,5171487,7174963,10852833,15676604,255856753,31692916,39720835,31693230,31693231,31693295,24184726,24184725,31693293,34243513,34243514,39720152,39720150,32104001,32104000,31693114,31693115,31043253,23560439,23560438,23560445,17250310,17102710,12017047,12017045,17102704,23371553,17250244,17250245,23560339,25683794,29006996,24184407,17815947,12613742,12613739,17815936 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10173003, s2 = 14673772, dlinesl.size( ) = 2 s1 = 10173003, s2 = 14673772, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10173003, Dl.E( ) = 20, 2.5e-05 seconds used appending s1 = 8367255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8367255, s2 = 9493573, int(edited[s2]) = 0 s1 = 8367255, s2 = 9493573, d1 = 49, d2 = 39 Dl.O(d1) = 255260362,88135725,257197136 Dl.O(d2) = 257545802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8367255, s2 = 9493573, dlinesl.size( ) = 8 s1 = 6577334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10217299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14954187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3339164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8188519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8188519, s2 = 14158125, int(edited[s2]) = 0 s1 = 8188519, s2 = 14158125, d1 = 38, d2 = 41 Dl.O(d1) = 259531552,72255781,72255780,77755590,77755589,72255816,59522088,59522087,64573063,52672899,52672900,64573068,77755602,72255806,59522079,48135007,38224907,29658725,22306637,22306638,256398565,257520587,258753243,59522091,59522093,72255821,85847047,99799250,113812921,119727350,119727348,133601664,133601668,146859109,272752880,99799198,99799199,113311687,103124860,99308163,85363356,72255786,72255789,85847001,99799194,113812874,99799238,85847035,72255810,72255809,85847031,99799191,99799190,85847043,85847044,99799244,113812914,117241094,103124854,89053960,89053962,103124855,117241096,270875390,102491894,88485155,74849432,74849431,88485153,89053922,75324924,62425198,62425197,75324922,89053917,89053967,89053966,259563540,103124858,260178512,144276765,156701374,153694259,149876626,260124700,108637518,108637517,99799276,85847074,260595843,117241100,116440744,102347602,88351398,74723330,74723332,258936946,106662080,92357565,78324033,65044165,53061324,42613579,42613578,53061320,65044157,78324023,269432654,258312220,40060313,50081888,61562328,270438600,258847582,62513041,75431600,89178540,103267895,117396606,258936944,120915162,129856709,115959273,101915202,87942600,74339814,74339815,72255849,59522129,59522128,65044158,74339826,61562319,59360059,59360061,72093614,61562323,50081886,40060311,31377632,31377631,29658735,29658736,38224929,48135040,59522106,53061331,53061330,65044172,72255855,59522136,59522125,48135046,48135045,59522123,72255847,259378165,113812953,257701606,78324042,65044174,59522132,48135057,38224942,38224943,38055824,38055825,47969037,59360057,72093606,72093615,59360063,47969041,38055829,38055826,256524651,23880974,23880972,31377636,40060314,50081889,59522094,59522095,258753247,72255853,59522135,59522134,72255852,74339803,257654423,40060304,40060305,50081874,61562308,72255832,85847063,258743818,269432656,59522110,59522109,72255835,85847065,99799271,101915233,87942620,87942622,101915236,115959298,101915250,87942638,74339855,61562348,50081908,50081909,258263305,87942640,85719154,269810072,99799258,87942589,258263303,258885929,101915187,258889563,74381676,87984198,101957105,116001523,269875376,143185620,258267162,115959248,113679318,99666705,99666706,255180792,100826469,114877184,115959304,101915241,87942633,74339851,74339850,87942630,87942594,74339807,74339806,87942591,87984193,101957103,99799266,85847060,85847059,99799262,101915189,113812956,99799293,99799294,113812958,101915247,87942637,87942636,101915243,115959308,129856734,143185651,154760232,142127124,128773272,114877182,100826468,86845150,73232011,73232012,86845152,268113346,128773277,256528390,166466487,175301342,258889564,139995238,126640099,126640100,139995241,129899384,129899383,125410384,111611573,111611572,125410382,138733894,258267152,119904655,257658252,125410376,127680644,116001486,116001484,129899376,143228561,155738085,260724836,129856690,143185625,152692799,139995251,126640110,112781938,98789503,84861108,84861109,271307273,101957076,87984168,74381641,74381639,87984166,101957073,116001499,129899396,129899403,116001505,260724835,116001491,129899385,130012763,130012768,116103477,102046142,88060983,88060982,102046139,97692998,83835168,70310121,57619667,46275256,46275255,57619664,67798708,81266568,95326075,109581418,123771834,137496172,259513468,101957071,258889555,74381637,87984163,97692991,83835172,70310130,57619673,46275259,46275260,57619679,70310138,83835181,88060977,74448956,74448955,88060975,102046134,116103466,130012758,126640106,126640107,130012766,116103472,259909596,83835155,258061282,57619657,67798712,55456975,55456974,67798710,81266569,81266583,81266582,95326082,97693011,111611565,259312728,70310112,57619659,257993487,70310149,257450416,46275263,57619684,70310147,83835184,70310142,70310143,61665104,61665105,74448963,88060984,102046143,259290354,109581419,123771836,123771830,109581415,95326073,81266560,70310106,57619655,57619656,70310108,81266572,67798723,55456984,55456983,67798720,81266584,95326086,259932134,83835162,258061284,46275253,36422618,27964254,27964253,36422616,46275248,57619651,70310103,83835147,70310146,61665112,61665113,258663686,55456979,55456978,67798715,81266578,70310115,70310117,67798702,67798701,81266564,83835150,81266554,67798726,55456989,44608445,44608446,44608443,35227568,27133372,27133374,31470496,256531909,40154727,31470509,23974521,17626623,12446914,12446912,255573799,31470491,40154699,50179742,40154709,40154708,46875705,55484489,44634471,44634472,55484478,55484477,44634465,35250064,27151683,20241002,20241001,27151680,35250061,44634459,55484476,50179749,40154703,40154702,50179746,44608453,44608454,55456999,55457000,67798732,81266588,88061004,74448989,61665133,50179770,40154722,31470502,31470501,31470500,40154718,50179767,61665130,67798689,55456957,44608428,44608429,256830406,67825951,55484497,44634477,35250067,254489664,14524258,9993764,9993763,254327156,254717552,44634468,55484484,55484473,55484472,48246425,38336086,38336087,48246428,59633259,72367462,85962237,99919751,88061007,88061008,98150284,98150283,112109515,102046157,88060999,74448981,61665128,50179765,50179764,61665125,74448979,88060995,95326052,102046152,95348653,81292131,67825949,55484495,55484494,67825946,61665117,61665116,74448970,85047298,95348646,81292118,67825937,67825938,81292121,95326056,95326055,84256371,258019787,57987584,70704847,84256367,95326068,81266552,67798693,67798692,81266549,95326065,102046155,88060996,88060997,74448984,74448983,70704833,57987565,46611339,46611340,257429412,84256361,70959498,58242880,58242881,70959501,58746404,47359353,37453099,28913836,21639619,21639620,28913837,37453102,255908178,71475707,72372169,59637746,59637747,72372171,85966849,258663688,48535733,38620719,30046993,30046992,256970227 Dl.O(d2) = 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431070,29797616,28418183,21997046,15898136,15898135,15898142,15898143,21997052,29327010,37895380,47817377,257496697,38026776,29464664,22129891,22129890,29464662,257505157,59332332,72066656,72066658,74009846,61229054,49749884,49749883,39731062,31052476,23568443,23568442,31052473,39731057,49749878,61229046,258859675,100258359,114288749,259764020,87614018,85370193,85370194,85542472,85542471,86295549,86295546,86295547,99489335,99489334,99489338,85542478,71954487,59215950,59215951,71954489,258470971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8188519, s2 = 14158125, dlinesl.size( ) = 30 s1 = 13590327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6533978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14568821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14568821, s2 = 8329924, int(edited[s2]) = 0 s1 = 14568821, s2 = 8329924, d1 = 17, d2 = 10 Dl.O(d1) = 143164523,129832856,258861260,87912510,74308660,61531105,50051750,40031629,40031631,50051754,61531111,74308667,87912517,101886853,115933113,129832861,260715660,173741856,258880264,137645370,137645371,123963458,109823080,95617957,95617958,87905480,74301562,61523443,61523444,74301564,87905484,101879690,98436812,95590714,81557148,81557147,70951779,58234652,46866801,46866800,47236115,37327137,37327136,47236112,58629000,58234655,46866803,36988323,36988324,46866806,58234660,70951787,71365783,84942434,73501570,60752638,49349724,39420181,30814985,30814986,39420184,49349727,51514984,51514985,49349683,39420136,30814931,30814932,32455983,35945146,45601098,56750741,69318776,82837706 Dl.O(d2) = 270832916,83628226,97511027,111464105,99528963,99528962,99528961,259637406,127410623,113540327,99528975,85582020,85582019,99528972,113540322,99771917,99771916,113785153,126543343,112680426,98685693,269540190,58467185,58467186,49837425,49837424,61320428,257790180,87709284,84494157,70929917,58212680,46844633,36965774,28466908,21245070,15278379,12332430,12332429,17490858,254921764,36436308,27977608,20814094,14917995,10258096,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,13437251,18859743,25459508,33207190,257200091,49258331,39332980,30735279,23316091,23316092,30735280,39332981,49258333,257199680,39331505,30733327,23314330,17051184,17051183,255976985,30734350,39332295,39333164,30735500,30735501,30735509,30735507,39330753,32040453,30732471,23313624,17050708,17050705,23313620,30732468,39330779,32040508,24476373,255214183,12799730,18054911,24476378,256570955,48010091,38098745,38098746,48010093,59398218,59931128,49257310,39330958,30732674,30732672,27977849,255160722,14918134,20814309,27977851,36436547,46289520,38043137,29479898,22142395,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985,30026181,23314222,17051816,17051817,255977095,30734022,255529889,11962021,11962022,17051593,23314949,23315377,23315376,30734516,32040278,32040279,38043087,38043086,39329940,39332415,30734505,23315367,23315368,30026128,30026129,38598965,43967846,34692633,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,29678304,24431622,23314879,17052000,11962278,11962281,17052009,17052185,11962393,11962391,11961614,11961612,17050834,11961590,8007223,8007224,11961597,11961570,11961569,16024797,11126414,11126412,16024787,20222512,17050776,16024860,16024862,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22008855,22008857,29340579,29678441,256400159,29678173,22327349,22327348,29678564,38243272,30734643,23315490,23315489,30734641,29340646,29340647,37909644,47831441,39330963,30734720,30734721,36785601,46671666,256923692,255886086,11126596,11126598,15559565,15559561,256338261,47306961,270816337,261439719,262090185,137417524,133829443,261440087,123687178,109496121,95243475,81189075,67725185,257317177,268339681,14478272,9961700,9961699,14478271,255750397,20179275,18486064,13133304,8950802,8950801,13133297,18486085,25015212,25381817,24472786,18052426,14480713,9963163,9963162,14400896,14400897,9963073,9962853,9962672,6547960,4102152,2453798,2453799,4102155,6547969,9963047,14480520,20182487,14481244,9963450,9963453,14481250,20182268,20087735,14402124,9962873,9962875,14480246,20182415,27079657,25949702,25949700,25381798,18796986,13390122,9153979,9153978,13390115,18796972,25381779,18887477,18887478,25491572,20184261,14481445,14481446,20088194,14402404,14402402,14480853,14480854,20183025,27079793,20182527,20182371,14480211,14480213,9963016,6547950,6547951,9963020,14480472,9963041,9963042,14480513,20182759,27080043,20184589,14481658,14402121,9905991,6510751,6510752,9905996,14402129,14402152,14402151,20087768,26975141,256217925,20088293,26971810,26975573,20088033,20088035,26975582,35058343,41601391,32698738,32698737,41601388,35059726,26976736,26976737,35054580,35054581,42120654,33164369,25422055,18829340,18829339,256125801,26972723,26972724,35054607,35054608,257193374,35058048,35054938,26972852,26972771,20086214,14401266,9905546,9905545,268174691,26972769,26971990,20085686,14400976,9905410,9905408,14400966,20085664,20183666,27081390,27081389,35059160,35059920,26976904,26976903,26976688,20088731,20088730,26976682,20088951,20088950,20182512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14568821, s2 = 8329924, dlinesl.size( ) = 14 s1 = 7807283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163094, s2 = 2352217, int(edited[s2]) = 0 s1 = 14163094, s2 = 2352217, d1 = 55, d2 = 56 Dl.O(d1) = 71653969,85219717,99142366,113132762,126991044,259494512,175637508,185173341,261822764,187155981,177885271,259908996,143205556,258038466,87960981,256311190,61582236,50102342,40081691,255027528,30251142,23789695,17458363,12307563,8313000,8312999,12307560,17458358,23789689,31275385,39949816,31274848,23789174,255093438,38462320,48363942,58752570,58752569,61445172 Dl.O(d2) = 19215827,19377626,13860925,9508453,6236405,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508433,8987247,8987248,13184154,18554723,25103476,32805506,257173481,63860292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163094, s2 = 2352217, dlinesl.size( ) = 2 s1 = 14163094, s2 = 2352217, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14163094, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 9720020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6721284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6721284, s2 = 6650242, int(edited[s2]) = 0 s1 = 6721284, s2 = 6650242, d1 = 28, d2 = 38 Dl.O(d1) = 257701812 Dl.O(d2) = 256948481,59623023,72357549,257860413,43312664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6721284, s2 = 6650242, dlinesl.size( ) = 38 s1 = 10201219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3060001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3060001, s2 = 5332924, int(edited[s2]) = 0 s1 = 3060001, s2 = 5332924, d1 = 9, d2 = 26 Dl.O(d1) = 94374382 Dl.O(d2) = 221173787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3060001, s2 = 5332924, dlinesl.size( ) = 26 s1 = 10232501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10232501, s2 = 2753443, int(edited[s2]) = 0 s1 = 10232501, s2 = 2753443, d1 = 15, d2 = 8 Dl.O(d1) = 122930044,108665648,108665647,272075471,149902165,162114088,162114089,149902163,272053228 Dl.O(d2) = 54637765,43894843,34623020,26633797,19822382,14199212,9760827,9760826,11258717,7474152,4723533,2846000,1651177,1651176,2845998,4723529,254461194,16196446,19539852,19539851,19822379,26633796,34622797,30923260,267813206,267813204,23369066,23369067,20019582,14338456,14338455,19787554,19787553,19649210,19649209,14084015,14084014,19649245,19649194,14083981,9687650,6372476,3998812,3998813,6372479,9611535,9611536,13991221,13991843,13991844,19539867,20104253,26383764,19649242,14084013,9687667,6372486,6372485,9687663,14084004,19649228,19787552,14173458,9743861,6407143,6407142,9743858,14173455,254115302,13991228,9611541,9611539,13991226,13991842,9612032,6313518,6313517,9612030,13991896,19540742,26259977,22893596,22893597,26259875,26259876,19787548,19787549,26592772,34579985,43213215,34125722,26259974,19540740,19540739,19540722,13991885,9612021,6313513,6313512,9612018,13991880,19540715,26259948,34125683,26259930,26259931,34125657,26259907,26259906,26259890,22510492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10232501, s2 = 2753443, dlinesl.size( ) = 20 s1 = 8222849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3342757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3061480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10218410, s2 = 13576056, int(edited[s2]) = 0 s1 = 10218410, s2 = 13576056, d1 = 25, d2 = 36 Dl.O(d1) = 262799682,149928319,136792720,122962497,108697500,108697499 Dl.O(d2) = 108697401,108697389,99521577,259765061,94410360,108697393,122962466,108697415,94410392,270377830,54673458,54673457,66930127,80356207,259765067,108697502,94410557,80356469,66930473,258507355,94410558,108697458,94410451,94410450,108697456,122962481,122962480,108697481,94410505,94410504,260379959,94410476,94410358,80356157,80356158,80356389,80356388,94410369,108697400,94410489,269865126,43931278,43931279,54673719,66930382,80356385,66930384,54673716,43931277,43931279,54673718,66930388,80356395,94410485,85574713,85574714,94410441,85574642,85574641,94410488,269865126,43931278,43931279,54673719,54673715,43931277,43931279,54673718,66930388,80356394,80356420,85574650,259976911,122962472,108697502,94410557,80356472,80356471,259765079,122962474,122962473,122962489,261538593,149928320,136792720,122962497,108697500,94410555,258865978,258507355,94410558,108697504,122962506,136792723,262070095 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3343522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3343522, s2 = 11658819, int(edited[s2]) = 0 s1 = 3343522, s2 = 11658819, d1 = 11, d2 = 21 Dl.O(d1) = 108705520 Dl.O(d2) = 107815866,95327028,95327027,107833926,107833925,256756624,93410389,257322694,64600427,52699726,42312644,33332323,25572623,18963661,15261353,15261354,10539325,6950533,4367584,4367583,5198323,3171493,1856568,1059544,595781,595778,1059515,1856508,3171377,5198121,8113658,12066178,12066311,12066310,15275988,15275984,15275986,15270197,15270198,15271477,15271853,18322756,13529627,9260176,6065027,3794751,3794752,6065023,6065022,7748591,7748589,5403772,5403008,5403006,6053315,3787941,3787938,5199987,5199985,3791414,2271213,1317233,1317231,1317347,254205539,3791854,3792351,254447459,9254875,13523465,18959471,18945221,254926461,6053513,3788091,2269476,1316366,751158,426819,241007,241009,426825,751167,1316384,2269421,2269417,2622126,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193796,3791676,3791678,6059995,5404673,5404672,8374510,12392263,16800019,12063350,12063348,15474163,15474164,10700581,10700582,11694751,11600499,11600496,13521773,9253436,6060369,3791938,3791939,6060439,9253584,13522016,18958319,25568515,33328814,42309283,257122249,32052579,256062575,18063695,18063694,14336395,9848664,6468586,4053140,2425823,2425824,4053144,254684715,11573758,8238444,5310868,5310867,8238442,12206688,14393303,9899578,6506382,4077193,4077192,267947139,14382720,9888282,9888283,14382722,20066789,16615816,11589592,7714520,4882668,2942153,2942154,4882672,7714525,11589594,16615820,14387381,254688089,6501018,7146784,10814455,9874296,7701002,4873923,2936942,2936945,2703565,1566589,890813,502668,281873,155620,155621,281878,502674,890825,1566630,2429897,2429898,1405582,1405583,2429902,4059864,6478662,7205951,4539944,2728774,1580933,1580934,2728779,4539951,4074494,2437924,1409627,1409628,2437927,4074405,6502296,9894660,10880299,7193404,4531723,4531724,7193407,9866388,6481249,4061382,4061381,6481246,9866385,9896502,9891844,9891845,7144734,4498881,2703303,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,2439622,1410530,1410527,2439532,1410472,802334,802332,1410468,2439528,2439992,2439991,4062619,6483362,6494506,6494505,6504868,5386321,3312141,3312140,5386319,8345244,7202181,7202180,10890761,14354136,9862683,9862682,255323099,26923774,35005652,31486741,28972813,28972814,26943995,20058628,20058629,15907335,11028717,7303090,254759113,11255503,16191854,22339911,29692826,31646837,256351904,256351907,47483451,58865556,258707385,85155850,99079415,113060018,259951415,85146632,71577096,58851274,47466932,37560081,29013724,29013725,37560082,47466933,58632586,47239261,47239259,47239260,58632584,71369220,84945364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3343522, s2 = 11658819, dlinesl.size( ) = 2 s1 = 3343522, s2 = 11658819, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3343522, Dl.E( ) = 22, 1.12e-05 seconds used appending s1 = 7063771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6958578, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3063538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3063538, s2 = 7436424, int(edited[s2]) = 0 s1 = 3063538, s2 = 7436424, d1 = 3, d2 = 59 Dl.O(d1) = 94457784 Dl.O(d2) = 266637402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3063538, s2 = 7436424, dlinesl.size( ) = 2 s1 = 3063538, s2 = 7436424, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3063538, Dl.E( ) = 72, 1.98e-05 seconds used appending s1 = 8677092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6943826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6943826, s2 = 3223776, int(edited[s2]) = 0 s1 = 6943826, s2 = 3223776, d1 = 9, d2 = 9 Dl.O(d1) = 260444626,259216086,94769860,80695789,67221844,67221845,80097588,80065389,69336468,69336467,269709469,35949575,35949574,27644610,20590387,14768475,14768476,20590389,27644613,35949586,45608607,269163183,34479778,43695767,34483767,34483768,43702724,48359325,43703373,34484140,34484144,39651310,34816784,34816789,37176135,28657590,21413661,21413664,28657670,26883181,26883184,34879075,26822167,19957008,14290004,14290008,9830880,6458010,4047975,2423370,2423369,4047983,2423372,2423369,4047983,2423384,2423380,4046332,2422914,2422911,4046394,6455338,9826321,14304629,19978600,26852266,34920920,30977969,23515932,23515933,30977971,39627155,49610690,61059708,59299660,59299661,72035934,256794884,101496496,115532814 Dl.O(d2) = 260444626,259216086,94769860,80695789,67221844,67221845,80097588,80065389,69336468,69336467,269709469,35949575,35949574,27644610,20590387,14768475,14768476,20590389,27644613,35949586,45608607,269163183,34479778,43695767,34483767,34483768,43702724,48359325,43703373,34484140,34484144,39651310,34816784,34816789,37176135,28657590,21413661,21413664,28657670,26883181,26883184,34879075,26822167,19957008,14290004,14290008,9830880,6458010,4047975,2423370,2423369,4047983,2423372,2423369,4047983,2423384,2423380,4046332,2422914,2422911,4046394,6455338,9826321,14304629,19978600,26852266,34920920,30977969,23515932,23515933,30977971,39627155,49610690,61059708,59299660,59299661,72035934,256794884,101496496,115532814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6943826, s2 = 3223776, dlinesl.size( ) = 2 s1 = 6943826, s2 = 3223776, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6943826, Dl.E( ) = 10, 1.5e-05 seconds used appending s1 = 7620011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164310, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13252959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13252959, s2 = 8430984, int(edited[s2]) = 0 s1 = 13252959, s2 = 8430984, d1 = 0, d2 = 0 Dl.O(d1) = 13039991,8881620,5792388,3611902,3611906,2331998,1351473,770903,770904,771508,438288,247305,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,438271,771432,1352260,2333234,254456925,9490389,267917428,24685840,24685839,31862792,24340550,24340549,24685843,24365766,17970013,12734802,12734803,17970014,15372706,10622404,7010523,4407314,2642216,1526594,865800,491033,275775,152356,152354,152363,152359,152384,143651,143654,259058,254117133,1424742,2464686,4120337,254217262,14545518,18749961,25329554,33058560,42002139,34626203,26636429,19824495,14200669,14200668,15562185,10764024,10764023,12661167,12661168,17877625,24255159,31767176,40461671,36910146,36910145,46787781,44332982,44332983,46787846,36910194,28412826,21191337,15228384,15228385,21191335,28412822,36910187,40631712,49323651,256441250,23366748,23366749,30792895,268254989,8325593,8325592,12325119,255562267,31302462,25321840,23386996,17115331,12027418,8085972,5180859,3161118,1850576,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160054,28377365,256483945,31922895,257114477,58158028,70872030,84429392,272175187,260504929,98338976,98338975,98436469,84514951,70951413,58234252,46866371,36987877,28490980,28490979,36987875,46866369,58234250,70951410,84514948,98436468,104436824,112321703,258656718,84514928,98436455,112424679,260504926,112424690,98436466,84514946,257422418,58234248,70951408,84514944,259283466,260504924,104436826,90286018,76456209,258986179,104436823,261394657,126287389,112424687,98436463,98436462,112424684,271764748,152377635,159058367,159058366,164171277,272175188,261635551,152377628,272175190,139657245,152377636,160013580,160013579,158108756,158108755,169515588,179735216,171249851,262280922,147750414,160013577,159058371,159058372,170394561,170394562,160013583,147750421,134619926,120823061,106574832,92276547,92276548,106574834,105343141,91122206,77205315,64064343,52223012,258381809,260252797,133443740,146692851,147750420,134619924,134619920,260046140,120823062,119576926,105343136,91122203,91122204,105343138,119576928,126710063,112858310,98870709,84944518,84944519,71368400,258690731,271309503,120823057,106574828,92276540,78249039,78249038,64975264,64975266,258182134,104681377,92276541,92276542,98870757,98870706,258415548,71368357,84944508,257799834,58631758,58631692,47238383,37328706,28791711,28791712,37328708,269318121,71368368,84944526,71368370,58631697,47238386,47238385,58631695,47238417,37328738,28791731,21527100,15514533,15514535,21527102,28791734,28791727,28791728,28791719,28791720,256875535,58631720,58631739,47238413,257455525,71368406,84944556,259669486,84944505,71368345,58631676,47238370,257455523,71368346,84944506,98870700,260234136,98870750,258990645,63573264,63573263,76657748,76657772,77772044,64589280,64589281,77772046,259669497,259669494,84944554,71368403,258363977,51789133,51789134,41512798,41512797,51789140,63573301,76657781,90518264,270488953,63573272,51789121,51789120,63573270,76657755,76657773,76657767,258990649,90518269,104681350,90518234,76657753,76657752,90518233,104681348,271964653,104681342,90518226,76657743,63573259,51789111,51789112,270488951,63573298,258363979,90518261,104681382,90518278,259617717,104681339,90518223,76657739,63573256,51789109,51789108,63573254,76657735,90518217,104681335,118859118,260234139,259617715,90518211,90518210,260234131,90518228,76657744,258990643,104681345,106574818,106574820,95093469,95093470,109347463,118859157,106574813,92276531,78249032,78249031,92276529,106574807,120823045,260646150,120823038,106574796,92276526,92276525,104681356,118859131,120823039,106574801,106574800,117542664,131343909,132673643,132673644,134619915,120823041,258805588,78249028,78249026,89319760,75561911,75561912,89319763,103413022,104681369,90518248,76657765,76657764,76657761,76657762,90518243,90600317,104772480,118964797,132797771,128329549,128329550,114540897,260646153,141776063,134619904,134619903,261221912,156838235,144428012,144397010,131165632,117362374,103233153,89143480,75397013,75397012,89143478,103233147,103266122,117394910,131197751,131197748,117394901,103266111,103266110,117394900,131197746,117394949,103266166,103266165,117394873,103266072,103266073,103266170,103266169,103266088,89176688,75429642,75429641,89176685,103266086,117394887,260184393,89176664,75429621,62510988,50910658,258316679,89176758,89176720,75429671,62511021,50910641,40793618,40793619,257705579,75429677,89176725,103266148,103266153,89176731,89176732,75429714,62511052,62511051,75429627,269435205,257705567,75429626,89176668,100643826,86670552,86670551,89176706,259568977,75429668,62511019,62511018,257705561,40793581,257120963,62510962,75429607,89176660,89176734,75429685,62511024,50910642,50910643,62511026,75429686,89176736,75429716,62511053,50910662,40793634,32036113,32036112,40793633,50910617,40793600,256061493,24473267,32036091,257120967,48925740,60324324,73065251,75429660,62511013,60324322,48925738,48925737,60324319,62511048,75429613,62510969,50910603,40793587,32036081,24473262,24473261,32036078,40793583,257705563,40793630,40793629,50910654,62511047,269023823,40793637,50910664,62510980,258942153,62510986,62510984,50910610,50910609,51290026,41110380,41110379,50911587,50911586,257235716,41110383,41110382,51290029,62965186,75429628,75429708,62511045,62510977,257120965,32036084,40793592,50910598,269530026,51290038,41110390,32299980,32299981,41110392,51290040,62965189,258965003,271462029,103115216,259567010,258314493,50880298,40764457,40764458,32008686,32008687,24448765,18031874,18031873,256059773,257118871,62479576,62511970,62511927,50911536,40794414,40794415,50911538,62511930,62479558,50880291,50880292,50880325,50880326,50911528,50911529,257637944,59976640,62479567,62511932,75397001,62479557,50880290,40764442,32008672,24448753,24448754,32008675,40764447,256568793,32008705,40764492,50880351,62479597,50880344,40764483,32008702,32008703,257118873,62479600,258314499,62479581,62511914,62511916,72713585,62479594,50911521,50911520,62479551,50880283,257703513,50880294,257118867,40764434,50880279,40764488,40764489,50880348,62479595,75397014,62511921,62511922,59976642,48584905,38668816,30091705,256430501,269353683,62511918,72713590,75396998,75396994,62479542,62479543,75396997,258901964,62479601,50911542,50911543,50911560,50911561,50880364,40764503,40764502,44575156,44575155,55422516,50911550,40794424,40794421,40794422,50911546,62511934,75430563,75397020,62479603,257118875,24448776,24448777,32008711,35196814,44575127,44575101,44575102,55422451,50880367,40764504,32036772,32036773,256228523,20206839,14499814,14499815,20206841,256061523,18053164,18053165,24473761,24448794,255605399,12781541,12781540,18031887,256059777,24448781,24448780,27107275,35196848,35196801,27107242,20206809,20206810,27107244,35196803,32036777,32036776,40794445,44575147,55422507,67762615,257919267,44575131,257319897,35196844,35196843,44575165,257691668,32008728,24448796,18031891,12781543,8688760,254619436 Dl.O(d2) = 13039991,8881620,5792388,3611902,3611906,2331998,1351473,770903,770904,771508,438288,247305,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,438271,771432,1352260,2333234,254456925,9490389,267917428,24685840,24685839,31862792,24340550,24340549,24685843,24365766,17970013,12734802,12734803,17970014,15372706,10622404,7010523,4407314,2642216,1526594,865800,491033,275775,152356,152354,152363,152359,152384,143651,143654,259058,254117133,1424742,2464686,4120337,254217262,14545518,18749961,25329554,33058560,42002139,34626203,26636429,19824495,14200669,14200668,15562185,10764024,10764023,12661167,12661168,17877625,24255159,31767176,40461671,36910146,36910145,46787781,44332982,44332983,46787846,36910194,28412826,21191337,15228384,15228385,21191335,28412822,36910187,40631712,49323651,256441250,23366748,23366749,30792895,268254989,8325593,8325592,12325119,255562267,31302462,25321840,23386996,17115331,12027418,8085972,5180859,3161118,1850576,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160054,28377365,256483945,31922895,257114477,58158028,70872030,84429392,272175187,260504929,98338976,98338975,98436469,84514951,70951413,58234252,46866371,36987877,28490980,28490979,36987875,46866369,58234250,70951410,84514948,98436468,104436824,112321703,258656718,84514928,98436455,112424679,260504926,112424690,98436466,84514946,257422418,58234248,70951408,84514944,259283466,260504924,104436826,90286018,76456209,258986179,104436823,261394657,126287389,112424687,98436463,98436462,112424684,271764748,152377635,159058367,159058366,164171277,272175188,261635551,152377628,272175190,139657245,152377636,160013580,160013579,158108756,158108755,169515588,179735216,171249851,262280922,147750414,160013577,159058371,159058372,170394561,170394562,160013583,147750421,134619926,120823061,106574832,92276547,92276548,106574834,105343141,91122206,77205315,64064343,52223012,258381809,260252797,133443740,146692851,147750420,134619924,134619920,260046140,120823062,119576926,105343136,91122203,91122204,105343138,119576928,126710063,112858310,98870709,84944518,84944519,71368400,258690731,271309503,120823057,106574828,92276540,78249039,78249038,64975264,64975266,258182134,104681377,92276541,92276542,98870757,98870706,258415548,71368357,84944508,257799834,58631758,58631692,47238383,37328706,28791711,28791712,37328708,269318121,71368368,84944526,71368370,58631697,47238386,47238385,58631695,47238417,37328738,28791731,21527100,15514533,15514535,21527102,28791734,28791727,28791728,28791719,28791720,256875535,58631720,58631739,47238413,257455525,71368406,84944556,259669486,84944505,71368345,58631676,47238370,257455523,71368346,84944506,98870700,260234136,98870750,258990645,63573264,63573263,76657748,76657772,77772044,64589280,64589281,77772046,259669497,259669494,84944554,71368403,258363977,51789133,51789134,41512798,41512797,51789140,63573301,76657781,90518264,270488953,63573272,51789121,51789120,63573270,76657755,76657773,76657767,258990649,90518269,104681350,90518234,76657753,76657752,90518233,104681348,271964653,104681342,90518226,76657743,63573259,51789111,51789112,270488951,63573298,258363979,90518261,104681382,90518278,259617717,104681339,90518223,76657739,63573256,51789109,51789108,63573254,76657735,90518217,104681335,118859118,260234139,259617715,90518211,90518210,260234131,90518228,76657744,258990643,104681345,106574818,106574820,95093469,95093470,109347463,118859157,106574813,92276531,78249032,78249031,92276529,106574807,120823045,260646150,120823038,106574796,92276526,92276525,104681356,118859131,120823039,106574801,106574800,117542664,131343909,132673643,132673644,134619915,120823041,258805588,78249028,78249026,89319760,75561911,75561912,89319763,103413022,104681369,90518248,76657765,76657764,76657761,76657762,90518243,90600317,104772480,118964797,132797771,128329549,128329550,114540897,260646153,141776063,134619904,134619903,261221912,156838235,144428012,144397010,131165632,117362374,103233153,89143480,75397013,75397012,89143478,103233147,103266122,117394910,131197751,131197748,117394901,103266111,103266110,117394900,131197746,117394949,103266166,103266165,117394873,103266072,103266073,103266170,103266169,103266088,89176688,75429642,75429641,89176685,103266086,117394887,260184393,89176664,75429621,62510988,50910658,258316679,89176758,89176720,75429671,62511021,50910641,40793618,40793619,257705579,75429677,89176725,103266148,103266153,89176731,89176732,75429714,62511052,62511051,75429627,269435205,257705567,75429626,89176668,100643826,86670552,86670551,89176706,259568977,75429668,62511019,62511018,257705561,40793581,257120963,62510962,75429607,89176660,89176734,75429685,62511024,50910642,50910643,62511026,75429686,89176736,75429716,62511053,50910662,40793634,32036113,32036112,40793633,50910617,40793600,256061493,24473267,32036091,257120967,48925740,60324324,73065251,75429660,62511013,60324322,48925738,48925737,60324319,62511048,75429613,62510969,50910603,40793587,32036081,24473262,24473261,32036078,40793583,257705563,40793630,40793629,50910654,62511047,269023823,40793637,50910664,62510980,258942153,62510986,62510984,50910610,50910609,51290026,41110380,41110379,50911587,50911586,257235716,41110383,41110382,51290029,62965186,75429628,75429708,62511045,62510977,257120965,32036084,40793592,50910598,269530026,51290038,41110390,32299980,32299981,41110392,51290040,62965189,258965003,271462029,103115216,259567010,258314493,50880298,40764457,40764458,32008686,32008687,24448765,18031874,18031873,256059773,257118871,62479576,62511970,62511927,50911536,40794414,40794415,50911538,62511930,62479558,50880291,50880292,50880325,50880326,50911528,50911529,257637944,59976640,62479567,62511932,75397001,62479557,50880290,40764442,32008672,24448753,24448754,32008675,40764447,256568793,32008705,40764492,50880351,62479597,50880344,40764483,32008702,32008703,257118873,62479600,258314499,62479581,62511914,62511916,72713585,62479594,50911521,50911520,62479551,50880283,257703513,50880294,257118867,40764434,50880279,40764488,40764489,50880348,62479595,75397014,62511921,62511922,59976642,48584905,38668816,30091705,256430501,269353683,62511918,72713590,75396998,75396994,62479542,62479543,75396997,258901964,62479601,50911542,50911543,50911560,50911561,50880364,40764503,40764502,44575156,44575155,55422516,50911550,40794424,40794421,40794422,50911546,62511934,75430563,75397020,62479603,257118875,24448776,24448777,32008711,35196814,44575127,44575101,44575102,55422451,50880367,40764504,32036772,32036773,256228523,20206839,14499814,14499815,20206841,256061523,18053164,18053165,24473761,24448794,255605399,12781541,12781540,18031887,256059777,24448781,24448780,27107275,35196848,35196801,27107242,20206809,20206810,27107244,35196803,32036777,32036776,40794445,44575147,55422507,67762615,257919267,44575131,257319897,35196844,35196843,44575165,257691668,32008728,24448796,18031891,12781543,8688760,254619436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13252959, s2 = 8430984, dlinesl.size( ) = 2 s1 = 13252959, s2 = 8430984, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13252959, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 6791916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6791916, s2 = 14147204, int(edited[s2]) = 0 s1 = 6791916, s2 = 14147204, d1 = 9, d2 = 15 Dl.O(d1) = 258524175 Dl.O(d2) = 225907740,265331003,221244060,223742446,221244053,221244039,221244040,221244054,223742457,225907732,265818023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6791916, s2 = 14147204, dlinesl.size( ) = 2 s1 = 6791916, s2 = 14147204, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6791916, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 3067996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9537746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6683927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6683927, s2 = 7433037, int(edited[s2]) = 0 s1 = 6683927, s2 = 7433037, d1 = 46, d2 = 60 Dl.O(d1) = 257306927,258526969 Dl.O(d2) = 266602907,238294631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6683927, s2 = 7433037, dlinesl.size( ) = 34 s1 = 3350467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9405763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9405763, s2 = 6792594, int(edited[s2]) = 0 s1 = 9405763, s2 = 6792594, d1 = 13, d2 = 10 Dl.O(d1) = 100103617,86135971,72536619,59801386,48416324,48416323,59801384,70531886,60131438,48736760,38816488,255942013,255942015,30233352,30080736,22699204,16496031,16496032,11595209,11595208,16619590,21181415,16551354,16551351,22764737,256434773,46474469,57830352,70531885,84068270,97941207,260337119,92917369,78811064,269869691,268677415,31224815,39901528,31224803,31224804,255990692,41952495,254831496,18712240,15631013,10816901,7148711,7148709,10816893,8980052,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190240,7535684,7129992,7129994,7535006,6605814,6605815,10053192,7938953,7129975,4488644,4488647,7129985,10791909,15205519,15205518,19142803,20802549,20861687,20861686,20972310,20959286,15050107,254326468,8189954,8189953,7129244,7129245,10790835,15598687,254481166,8388139,7660526,7660529,7250415,7250416,10049937,10955136,10283253,9069268,9069267,13286108,18667719,13276014,9060802,5924383,5924382,9060796,13276005,18667710,16518344,11511865,7657941,7657940,8907317,9068317,9068319,13285089,18677975,14602992,14406355,9908828,6512542,6512541,9908823,254155632,21650940,21650939,28927512,31635747,40325090,50352047,61836226,256817082,102256912,271287112 Dl.O(d2) = 258529902,58725008,71455495,85027715,259257116,126796153,140146347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9405763, s2 = 6792594, dlinesl.size( ) = 14 s1 = 3626684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3626684, s2 = 9405762, int(edited[s2]) = 0 s1 = 3626684, s2 = 9405762, d1 = 7, d2 = 7 Dl.O(d1) = 125626025,111811104,259257117,70475995,70475996,67639576,258529903,95164392,109420880,98952857,271287113,57776272,256817083,28089222,20915602,15010066,10339912,6806987,4269223,2552459,254155633,469082,831736,1466575,829792,829790,1466572,2545632,4258094,4267109,4728357,2848784,2848785,3716429,5943388,4929544,2973469,1946591,1946590,3308840,5380857,4238653,4238652,3703029,3703028,5921996,6761131,4237058,4237057,2553219,1470747,831939,831941,1470752,2532289,254481167,10283390,6854371,4301643,2571845,1480631,1480632,254326469,6758153,4234933,4234931,2545855,2545856,4258477,6792109,5210870,3179134,2565936,2565937,4245239,4245236,5585070,3465079,2538536,1462720,827839,467248,262891,262889,467241,827812,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,1062031,1861007,1861010,1861294,1861296,3179808,5211932,254831497,17200824,255990693,39532855,49466826,60870144,73620544,268677414,269869690,105851997,120064285,260337118,102553384,88546472,74907961,62104478,50605835,256434772,27263916,21477389,21477392,28734598,33856207,42901249,34166224,27142368,27142367,35238446,38109882,38109883,255942014,255942012,50605838,60196673,48799901,48799896,38877586,30291700,30291701,38877588,48799900,60196672,72935973,86534213,72935960 Dl.O(d2) = 125626025,111811104,259257117,70475995,70475996,67639576,258529903,95164392,109420880,98952857,271287113,57776272,256817083,28089222,20915602,15010066,10339912,6806987,4269223,2552459,254155633,469082,831736,1466575,829792,829790,1466572,2545632,4258094,4267109,4728357,2848784,2848785,3716429,5943388,4929544,2973469,1946591,1946590,3308840,5380857,4238653,4238652,3703029,3703028,5921996,6761131,4237058,4237057,2553219,1470747,831939,831941,1470752,2532289,254481167,10283390,6854371,4301643,2571845,1480631,1480632,254326469,6758153,4234933,4234931,2545855,2545856,4258477,6792109,5210870,3179134,2565936,2565937,4245239,4245236,5585070,3465079,2538536,1462720,827839,467248,262891,262889,467241,827812,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,1062031,1861007,1861010,1861294,1861296,3179808,5211932,254831497,17200824,255990693,39532855,49466826,60870144,73620544,268677414,269869690,105851997,120064285,260337118,102553384,88546472,74907961,62104478,50605835,256434772,27263916,21477389,21477392,28734598,33856207,42901249,34166224,27142368,27142367,35238446,38109882,38109883,255942014,255942012,50605838,60196673,48799901,48799896,38877586,30291700,30291701,38877588,48799900,60196672,72935973,86534213,72935960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3626684, s2 = 9405762, dlinesl.size( ) = 2 s1 = 3626684, s2 = 9405762, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3626684, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 3070518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3227843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6792782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6792782, s2 = 4568657, int(edited[s2]) = 0 s1 = 6792782, s2 = 4568657, d1 = 9, d2 = 4 Dl.O(d1) = 258531671 Dl.O(d2) = 183364050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6792782, s2 = 4568657, dlinesl.size( ) = 2 s1 = 6792782, s2 = 4568657, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6792782, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 8392205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8392205, s2 = 10352852, int(edited[s2]) = 0 s1 = 8392205, s2 = 10352852, d1 = 9, d2 = 10 Dl.O(d1) = 37804966,29240926,29240927,37804967,47726676,59124922,49734619,39715943,31038450,23556385,17247308,12129208,8160646,5231354,3192635,3192634,5231351,8160639,12129197,17247293,12908136,8780781,8780778,12908131,18198635,24657328,32257468,31038459,23556397,255330613,9931573,6527122,254316453,1414548,1414549,2446567,4089606,6527125,9931575,12129168,17247253,23556288,23556399,23556336,23556337,27022158,27022157,35108136,31038414,31038413,39715896,49734583,55331292,67670808,55331138,55331139,55331162,44485123,35108150,255746429,14437838,9931563,9931564,14437840,256221437,44485126,47726399,37804742,37804741,47726400,40368256,40368257,50403637,61894153,258016198,74687660,61894125,50403617,50403618,61894127,74687662,70675891,57957136,57957137,70675892,84229365,98124695,270277870,123642055,109449425,95194399,95194398,98124690,107653173,112085116,258640558,88315169,84229370,84229369,98124700,98124715,100653587,86680867,73076342,73076341,86680865,98316058,98316057,86680851,86680850,100653582,112085100,98316077,84406160,84406159,98316075,98316081,84406164,84406165,84229358,257405858,98124677,84229353,84229354,98124684,109449464,109449465,105080444,102310540,98124669,84229340,73076345,60336045,48938420,48938419,60336043,73076339,86680863,86680853,73076333,60336039,60336038,73076329,84406207,258640552,55279742,44435607,44435606,55279740,67617726,70848550,84406193,98316090,89198730,75447104,62525026,62525027,67617724,67617723,81083486,95141043,103293363,89198737,89198738,260185481,113646171,113646170,103293340,89198716,75447085,75447084,72096823,72096822,61212686,49734369,49734370,61212688,73991490,87591770,89198736,103293358,95194445,81137071,67670881,55331203,44485160,44485159,55331201,67670879,81137069,77020924,63909341,52090193,41776434,41776433,52090191,63909336,77020914,72096815,59363588,59363589,258740849,92587955,92587956,92587954,78540507,78540506,92587951,106906567,106906677,117428307,117428306,117428294,117428293,119273353,121172940,106906578,92587962,92587963,106906580,259706362,117428309,103293379,89198751,75447116,75447115,89198750,92587966,103293366,89198739,89198741,103293370,117428298,119273354,117428286,103293354,103293355,117428288,121172936,106906573,106906572,121172934,119977441,105742812,91519337,77588444,77588445,91519340,105742818,119977444,259077178,92588030,78540579,78540580,92588033,271585865,106906690,105742787,256163994,77588417,78540654,257239120,65250548,53260965,42807942,42807943,52545620,52545621,64419728,65250538,53260956,42807937,42807938,53260958,65250540,78540623,92588059,106906656,106906744,257831548,92588023,78540571,65250587,53260995,53260996,257239136,92588144,92588151,92588157,78540699,65250594,53260998,42807958,42807959,53261001,53260972,42807945,42807944,53260968,65250552,257831560,102310551,88315211,88315210,102310549,116402427,259077174,92949450,106906752,106906753,92588181,92588180,91519322,91519323,78540640,78540641,92588083,106906678,121173040,106906680,92588174,78540711,78540712,92588176,106906758,121173045,134981283,143565517,143565518,134981276,133843721,121173024,121173025,134981275,148103065,134981344,134981343,148103131,160345941,171548202,171548230,160345966,153502887,153502886,159657323,170974833,160345881,148103062,148103063,160345883,171548158,171548219,160345959 Dl.O(d2) = 171548214,181546626,190324635,190324593,181546569,181546568,190324590,197904211,190324664,190324600,181546576,171548153,160345880,148103062,148103061,160345878,171548150,181546571,263535348,189947714,191932932,183370087,183370086,191932927,191932923,263801811,263801807,263435785,183370089,173575159,262086677,137373818,123642140,109449529,95194511,259789197,123642137,137373795,137373796,123642124,109449523,95194502,81137131,67670950,257312543,44485204,55331261,67670953,81137139,95194512,95194498,95194499,109449519,123642120,260993591,109449543,109449542,123642155,137373840,123642154,259789199,95194519,109449541,95194526,270137547,67670963,81137125,81137126,81137156,67670967,55331272,55331273,55331265,44485206,35108224,27022215,27022216,35108225,44485208,55331271,67670965,81137154,81137142,81137143,67670969,67670968,81137146,259161683,260401965,109449536,260401961,137373831,150414337,137373836,137373837,137373784,123642111,123642112,137373786,150414336,137373835,137373834,150414371,137373822,123642142,123642141,137373821,150414369,162543704,162543705,263029751,273057855,150414377,150414378,262578543,162543742,273829378,191932902,191932901,191932959,191932958,191932953,191932952,199299240,205532019,205532022,210687849,210687847,205532018,264423019,214899625,216120029,212135844,263105104,194319228,272534016,259933710,128317735,128317734,141666991,154318643,261112868,186115514,194319215,186115510,176702893,176702894,178121037,167704589,156100311,156100312,156425620,156425621,273171301,167704575,167704572,167661613,167661612,178121042,178121035,167661600,156055862,156055861,156055891,156055890,156055869,156055868,156425607,143918666,130611160,130611161,143918668,156055854,167661589,167661596,156055859,156055860,143519456,143519454,143040336,129709559,129709557,260425090,137812625,130189749,260425058,156055867,156055878,143918664,143918663,151489886,138788451,125459678,123934759,123934760,123934752,109798891,109798892,259814084,116786366,130611165,143918674,156425613,146780703,137612649,123934739,123934741,123934765,109798882,109798860,95596844,95596846,109798853,95596838,81563398,68073528,68073529,81563400,95596842,109798858,95596869,81563447,81563431,68073584,258551141,95596856,109798873,109798896,95596872,95596873,91190183,88258226,74627907,74627908,77875236,71076982,257335736,68073508,55674601,44765246,44765247,55674603,68073510,68073516,68073515,81563389,88258230,77917807,64727631,55674617,44765264,44765265,55674598,55674599,68073505,81563379,258558278,269651608,37105438,37105437,46990199,46990204,37105440,37105439,44868438,35430536,35430537,44868442,52866422,52866423,64785449,74627904,61835654,50351450,40324587,40324588,42462676,33469365,33469364,42462674,42372402,254988316,42372418,33383416,33383417,42372422,33469357,33469356,35430367,35430366,30309084,30309083,38894863,33469334,25696382,19071012,13614989,13614990,19071015,25696389,33469346,42462651,44485106,39715720,39715719,33383426,33383425,42372437,52771415,42462699,33469390,25696419,25696418,255763900,42462657,39715747,31038295,31038296,25696412,19071029,19071028,25696409,33469371,42462690,52274133,41935227,32994418,32994416,39715728,49734399,52771400,48816136,38894874,30309092,30309091,38453548,48355471,55628068,44730015,35310538,27190760,27190759,35108129,27022151,20130495,14437830,14437831,13095260,13095262,13614992,13614993,19071018,17247236,12129161,8160615,5231340,3192629,3192630,5231342,8160619,12129168,17247253,23556288,23556399,23556336,23556337,27022158,27022157,35108136,31038414,23556360,19422063,13895682,9535206,9535207,13895684,14437862,14437863,20130546,27022235,35108246,44485236,55331289,67670828,67670827,55331245,44485193,44485194,35108228,35108137,35108138,44485111,44485185,44485184,44485123,35108150,255746429,14437838,9931563,9931564,14437841,20130505,27022171,35108164,35108174,27022180,255330609,14437843,20130510,27022183,35108187,44485164,55331213,67670893,81137083,87591825,73991529,61212729,61212728,73991527,87591819,92949462,78842822,259089461,92587978,92587977,106906594,95194452,81137075,81137074,95194449,109449475,109449494,109449493,123642098,137373771,150414321,155384630,261014752,115590680,101554336,87591805,87591806,101554340,110037382,95814659,95814658,110037380,115590681,102309585,88314248,88314246,102100751,88114009,88114010,102100753,102100758,88114021,74502648,74502647,74502637,61721318,50242489,50242490,50242468,257667345,74502590,74502650,74502651,74502726,61721372,50242524,40222404,31536183,31536184,31536177,256536835,50242508,61721324,61721322,61721321,74502645,84549256,70986240,70986241,61721364,50242521,50242520,258263336,258263334,61721344,61721343,269874294,102100776,102100782,88114084,88114083,86836112,86836114,100817467,114868803,113524886,99513325,99513324,99513338,100882580,86902761,73292646,60549563,49150249,49150248,60549561,73292645,86902760,85566352,85566353,99513333,102100778,88114055,258620646,73292649,73292648,86902764,88114059,87943009,257996660,73292663,73292671,70352555,57662813,257071746,49150251,60549565,71979072,70352744,70352745,81563470,68073635,55674719,256807970,60549597,255359172,39223712,255784278,39223709,49150262,60549586,73292668,86902780,84682041,71117540,58399891,58399890,68073616,55674700,55674698,49073513,49073512,256807978,36465956,28007150,28007151,36465958,46318794,57663023,57756383,46405577,46405578,44765346,35339017,35339016,44765340,35339036,27214924,20286472,14556563,14556564,20286473,27214926,35339040,44765371,55674735,68073659,81563508,268370806,57756376,57756378,70451467,81563415,81563408,71117545,257439378,37139829,28626700,21388601,15404507,10647370,255033167,21388602,28626704,37139832,47028084,58399903,57662797,57662796,57663082,70352808,68073567,257589440,44765301,257930237,81563413,95596849,97736553,86902787,73292675,60549593,49150267,49150265,257386164,86902785,100882589,99513322,99513323,258620654,97736334,95596889,81563475,81563474,83877657,70352801,257386177,46318858,257930240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8392205, s2 = 10352852, dlinesl.size( ) = 2 s1 = 8392205, s2 = 10352852, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8392205, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 3352519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3352533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658840, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6604583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6604583, s2 = 10829595, int(edited[s2]) = 0 s1 = 6604583, s2 = 10829595, d1 = 42, d2 = 36 Dl.O(d1) = 256455468,37173158,268919227,55280043,55341331,55216044,44365002,44365003,34987061,34987060,35249876,269196709,269189873,44365037,55216089,67559675,67559674,81029060,81083790,84733727,95204480,109459329 Dl.O(d2) = 25902282,19241505,13747544,9419271,6171640,3861768,2313472,2313473,3861750,3862012,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415571,2415572,4030953,6425148,6134227,6134228,9364764,13674906,13844496,254936162,13970569,9593317,9593316,255709475,22578503,16395667,255479423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6604583, s2 = 10829595, dlinesl.size( ) = 8 s1 = 14164788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3354049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3354049, s2 = 11726759, int(edited[s2]) = 0 s1 = 3354049, s2 = 11726759, d1 = 1, d2 = 1 Dl.O(d1) = 183393265,173599241,162569268,162569267,173599239,162569269,150441055,137401705,271331806,109478871,95224913,81168519,67702766,67702765,60424379,60424380,73171167,60424382,49020534,39090896,39090895,35140131,30494221,23080551,21718217,15674274,15674273 Dl.O(d2) = 183393265,173599241,162569268,162569267,173599239,162569269,150441055,137401705,271331806,109478871,95224913,81168519,67702766,67702765,60424379,60424380,73171167,60424382,49020534,39090896,39090895,35140131,30494221,23080551,21718217,15674274,15674273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3354049, s2 = 11726759, dlinesl.size( ) = 2 s1 = 3354049, s2 = 11726759, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3354049, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8291107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8291107, s2 = 10352760, int(edited[s2]) = 0 s1 = 8291107, s2 = 10352760, d1 = 25, d2 = 17 Dl.O(d1) = 55363213,67702992,67703003,55363228,44517013,35140419,35140420,44517015,55363230,67703004,259164227,107400455,92990050,81168712,81168711,81168710,67703003,55363228,55363229,47100196,47100197,58478698,71200820,259927285 Dl.O(d2) = 2375224,1375081,782722,443776,249858,137873,137875,249866,443808,782795,1375191,2308172,3852582,6157104,9397841,13719733,13868639,9514092,6240117,6240115,9514079,13868660,19387332,26071261,33896500,34144643,26278417,19557576,14006700,9624392,9624391,14006699,19557573,26278415,34144639,43232334,43232336,34144644,34144645,26278424,19557582,19557581,26278422,34144649,43232340,53744575,258472943,79156767,79156768,93275649,107684558,122068325,260946995,261513355,161526959,153322171,140643206,127297245,113438550,113438544,99436674,85495117,71910098,59172091,59172090,59172092,59172094,59172103,47773244,255752070,47773241,47773240,59172099,71910106,85495124,99436682,113438551,99579349,85629266,85495125,85495126,99436686,85629268,85629267,97684781,83827254,70302283,57611815,46267337,36414675,27956567,27956568,36414677,46267339,46267338,57611818,70302286,65780833,65780832,53724245,255977862,34124898,34124897,34124901,26259294,19540240,19540239,26259293,34124899,43212357,256479424 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10249338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3354307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340919, s2 = 9483372, int(edited[s2]) = 0 s1 = 10340919, s2 = 9483372, d1 = 73, d2 = 55 Dl.O(d1) = 5998183,7057117,4442816,4442819,5998194,5998198,9164689,9465972,6206693,3884803,2326187,2326192,3884791,6206665,9465914,8824459,8824455,5976938,5976935,9133463,6511105,6511111,9906720,10607910,8824507,8824506,11183654,13469664,18252239,18252238,17545771,12376201,12376202 Dl.O(d2) = 259010270,100547498,86586371,86586372,259167214,257917730,256752566,30354813,35306883,27187151,20263450,20263451,27187153,30354815,22952997,22952998,28132603,28132604,23323637,22770347,16556294,11540048,11540047,16556292,22770343,30158457,31254603,31254602,31241017,30744497,30744498,37221619,37221618,37993494,29431281,29431282,37993495,47909573,255898028,31254458,27187332,20263601,14538598,14538597,20263598,27187328,35307055,40005537,40005536,255459634,23771890,23771891,31256486,35182800,27093955,27093956,24063562,17708277,17708276,23776721,23776719,31261845,31261842,23776718,23776717,29923693,29923694,255276012,22887756,22887757,18545142,13176919,8982140,6877712,6877713,10432391,15125225,21056963,28257932,36752984,36886830,31827313,24309975,24309971,26342126,24891915,18391597,18391598,24891925,32253858,32253856,31239349,23755715,21867405,15842241,10978369,7266461,4582476,4582475,7266445,10620684,11786853,11786851,16853466,23112282,30530546,39129012,49058958,60462546,258819681,100803265,260660109,114854709,128752815,142109594,154745501,262767719,186395398,194552365,264535549,264396605,264396603,191113758,182411171,172459892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340919, s2 = 9483372, dlinesl.size( ) = 80 s1 = 8436882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10261901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3075118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15522180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9206719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9206719, s2 = 8007640, int(edited[s2]) = 0 s1 = 9206719, s2 = 8007640, d1 = 36, d2 = 26 Dl.O(d1) = 137485002,123759783,109568567,260409649,137484997,123759778,123759779 Dl.O(d2) = 55438425,44588950,256229451,14505449,9981256,6560329,4109881,254215831,808459,808458,1421121,2458375 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6810081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3077094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3077094, s2 = 1997029, int(edited[s2]) = 0 s1 = 3077094, s2 = 1997029, d1 = 45, d2 = 42 Dl.O(d1) = 95318861,259284894,149893246,136751422,136751423,123765366,123765367,137490119,150520897,142963384,129635905,129635904,129635906,115739350,101694358,101694357,260703987,129635888,129635887,142963370,155512817,155512819,142963372 Dl.O(d2) = 262641382,167394209,167394208,155761774,143209515,129879910,129879911,129879909,129879908,143209512,262157130,155761772,143209517,129879912,115982375,259284892,74363048,61586561,258033474,63771589,51956696,41649886,32740451,32740450,28054316,28054317,36518997,46378244,55446229,55446228,49287909,255784306,30759897,25354120,25354121,30759901,23337187,17070937,17070935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3077094, s2 = 1997029, dlinesl.size( ) = 2 s1 = 3077094, s2 = 1997029, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3077094, Dl.E( ) = 48, 1.29e-05 seconds used appending s1 = 3358262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3358262, s2 = 8378782, int(edited[s2]) = 0 s1 = 3358262, s2 = 8378782, d1 = 10, d2 = 27 Dl.O(d1) = 109593547 Dl.O(d2) = 260285392,95339341,81281144,67813923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3358262, s2 = 8378782, dlinesl.size( ) = 30 s1 = 7028001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7028001, s2 = 1523190, int(edited[s2]) = 0 s1 = 7028001, s2 = 1523190, d1 = 23, d2 = 38 Dl.O(d1) = 261565692 Dl.O(d2) = 17634952,17634948,23981684,24734321,24734320,29848836,23320963,17630087,12451460,8419792,5434217,5434219,8419803,12451485,17630139,15832879,15832881,21916107,29233321,31487814,31487852,40172904,49265429,46417460,254860784,37730333,29169986,29169987,28162340,28162331,20982481,20982484,28162337,36637253,33378744,33378743,37011224,36740000,28244608,28244609,36739987,33457397,25685478,19061865,19061867,25685483,23409405,23409404,25055882,25055885,32747049,40158526,40158525,47212265,37305635,37305638,37305653,28771964,28771963,37305645,42368047,40151303,40151304,37730121,37412375,37412376,31607553,24105346,17746786,15788255,15788254,21860548,23462154,17641818,17641816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7028001, s2 = 1523190, dlinesl.size( ) = 2 s1 = 7028001, s2 = 1523190, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7028001, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 7094160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3703008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13332251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13332251, s2 = 6864349, int(edited[s2]) = 0 s1 = 13332251, s2 = 6864349, d1 = 104, d2 = 101 Dl.O(d1) = 1344611,767367,436231,436230,767365,767515,767514,254306197,3873793,6189605,6190200,9441621,9441622,6189595,3873656,254208801,1344688,2319617,3873653,6189592,7023241,7023239,255287943,9442613,6190086,3873993,3873753,3873754,6189766,9442209,9441893,268099156,6189521,3873615,3873614,6189520,6189252,6189251,9441563,13772112,13772435,19268233,24337330,18724302,18724303,16876200,11806428,11806427,16876197,19268015,13772263,9441712,9441713,13772270,19268027,19268575,19268574,19268581,19268856,23136352,23136351,19268106,19268105,19268090,13772309,9441741,6189368,3873516,3873517,6189372,9441748,13772303,13772302,9999051,9999052,14531241,9998819,9998818,14531238,19268202,13772387,13772389,13560943,9441718,9441717,13560951,19001756,25615564,25930238,19268157,19268158,254812234,20250681,20250680,16876825,16876824,23137160,25930225,255694689,19268061,16877296,11807258,11807259,16877297,23137598,30555127,39152884,33737154,25930051,19267944,19267943,16210811,11268751,7480447,4727443,2848279,2848278,4727439,7480438,7480419,4727429,4727428,7480415,7886050,7886049,11806706,16210744,14531347,14531346,20250861,14531380,9998921,9998922,14531382,20250889,20251156,20251122,14531570,9999064,6571468,6571466,9999056,14531563,20251131,20251153,23137735,254695474,255339396,27165671,27165675,20251272,254812274,20251346,20251347,25729512,20251174,20251173,27165406,20250898,14531400,9998933,6571397,4116560,2462259,1423266,1423265,2462255,4116553,5008625,7886413,6571531,6571528,256233473 Dl.O(d2) = 113944379,259402964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13332251, s2 = 6864349, dlinesl.size( ) = 92 s1 = 7674640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3079650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8233768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8233768, s2 = 14188572, int(edited[s2]) = 0 s1 = 8233768, s2 = 14188572, d1 = 49, d2 = 102 Dl.O(d1) = 95590100,95590099 Dl.O(d2) = 25958492,19620656,19620657,19103203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8233768, s2 = 14188572, dlinesl.size( ) = 40 s1 = 9375500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9171422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9171422, s2 = 3160752, int(edited[s2]) = 0 s1 = 9171422, s2 = 3160752, d1 = 6, d2 = 5 Dl.O(d1) = 258146980,47288546,47288547,58679684,71413507,84987480,74508761,61727605,50249135,50249133,61727602,74508757,78897247,78897246,92750961,100046879,86084158,86084157,88120336,88120334,101138898,87140827,73521994,60773692,60773694,61727678,61727679,74508873,88120367,88120251,88120249,93460863,84982140,71408169,71408167,71408162,71408163,84982128,98907515,270847186,116164325,102107476,88120550,74509007,66889221,54631500,43888091,256200189,19815439,19815438,256200187,19816422,256200265,43888278,34616157,29165051,21856260,21856259,256360407,256354174,268622268,47404541,37496868,37496869,33348816,25588475,22392988,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,16517989,22723152,30104717,38681721,256140244,33966919,41758892,32838416,32838415,29317144,21988761,21988762,29317148,28374903,21157815,21157814,19460830,19460828,26160727,19460846,13927078,13927077,19460843,255278766,26161612,34003240,43061244,37889523,37888984,29320693,29320695,255467246,43057537,42731012,36871035,28374280,21157175,21157176,21357869,21357868,28589013,29961591,254451234,15399423,15140737,15140736,21078278,24240701,23319942,17055307,11964573,11964571,15134073,15134074,19466841,26167428,34009120,31347658,23854151,21078204,21078205,23854196,17511409,17511408,23854193,17511407,17511406,23854190,28374325,25699987,19074205,19074206,19460812,19460795,13927055,13927054,19460791,26160681,26160101,19460336,14098864,14098865,19668520,26402868,34278038,43377065,53900946,65967232,79330407,257611778,122305292,134092440,120256847,120256848,134092442,126382752,126382751,139758748,126382746,112511466,259090468,71026687,71026686,84591058,98515933,84590721,259915751,84591051,71026672,58310961,55466785,55466783,67808519,71081399,71081400,64737321,58310682,46944212,46944211,58310680,58310952,46944445,37065334,28563690,21336878,21336879,27140107,20232547,14518509,14518506,20232543,27140100,27140114,20232550,14518511,14518512,20232553,27140119,35235642,44617691,46944241,46944206,37065137,37065126,37065127,46944194,46944202,46944199,46944198,55466732,44617667,35235626,35235625,44617664,55466730,67808473,55466788,44617700,44617699,44617684,44617685,55466768,52821452,42419789,33429046,33429047,37065103,28563452,28563451,37065101,37065073,28563427,21336657,21336656,28563422,31488982,40174082,44514211,35137259,27051457,20158321,14518517,9990108,9990109,14518521,20232562,27140134,35235655,44617713,37065144,28563490,21336705,21336704,28563485,37065134,28601129,28563433,21336660,21336659,28563430,37065081,37065083,46944182,58310665,55466794,44617705,44617704,42419795,33429049,33429050,35235622,44617659,46944223,44760058,35332364,27207111,27207113,35332368,44760065,55670286,68069644,81559696,257329472,85666501,85666499,72079952,59346232,47954949,38041409,29478330,22141129,22141130,29478331,38041410,258739421,99615332,113590232,113590233,109795295 Dl.O(d2) = 81559695,81559696,81559694,72079954,59346234,47954950,38041409,29478330,22141129,22141130,29478331,38041410,258739423,99573578,113590234,127466385,259552920,85666501,72079955,59346236,268939735,29478331,38041411,47954951,59346237,72079957,85666507,99615339,259179590,109795294,109795293,113629311,99615331,99615332,113629312,109795292,95593218,81559692,255758442,55670286,68069643,72079954,269012838,81559692,81559693,86999284,86999283,100992212,99615330,85666503,72079956,59346236,257112020,62049509,50557008,40520683,40520682,50557007,62049511,260142191,126138080,112278827,98297330,98297329,107849389,259587498,74495783,61714331,50235190,40214854,31528842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9171422, s2 = 3160752, dlinesl.size( ) = 2 s1 = 9171422, s2 = 3160752, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9171422, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 3080581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3080581, s2 = 11436360, int(edited[s2]) = 0 s1 = 3080581, s2 = 11436360, d1 = 0, d2 = 12 Dl.O(d1) = 95593544 Dl.O(d2) = 150605606,162703879,173713019,183491303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3080581, s2 = 11436360, dlinesl.size( ) = 2 s1 = 3080581, s2 = 11436360, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3080581, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3360250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3360250, s2 = 9492743, int(edited[s2]) = 0 s1 = 3360250, s2 = 9492743, d1 = 1, d2 = 7 Dl.O(d1) = 109795829 Dl.O(d2) = 255758535,14552301,14552302,20281422,21399953,15413645,15413646,21399958,28640516,37156259,43183929,34098700,34098701,43183931,50247341,40227501,31541187,24038045,17686414,12508425,12508423,17686405,21361381,15455153,10685951,7059203,7059201,10685943,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,268440968,21586659,15561557,10763630,10763629,15379148,15373254,10622841,7010880,4407602,4407603,7010887,10622857,7010905,4407612,2642436,1526775,1526776,2642441,4407623,7010920,10622919,15373370,21315793,15344945,10599320,6992838,6992839,254414375,3412508,5526177,8527729,12573794,17767981,256037405,28539154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3360250, s2 = 9492743, dlinesl.size( ) = 2 s1 = 3360250, s2 = 9492743, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3360250, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 6943114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9521122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9528509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6726709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8438091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657008, s2 = 6692858, int(edited[s2]) = 0 s1 = 11657008, s2 = 6692858, d1 = 2, d2 = 6 Dl.O(d1) = 269528275,259069971,106754737,121007642,123950535,123950534,123950544,109812927,95609505,81575652 Dl.O(d2) = 257430576,126312072,126312073,128250779,128250780,141602112,136369539,259910634,93522665,79385812,66017434,53947437,53947436,43421385,34321650,255721233,14129440,14129439,19705882,26444938,34321644,43421379,43421389,53947460,43881957,34610765,26621927,26621928,34610767,43881960,35081577,35081570,35081571,44456475,44456481,44456480,54624391,66881977,258504245,94367324,108655052,122919946,136751912,141867334,128513390,114625334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657008, s2 = 6692858, dlinesl.size( ) = 2 s1 = 11657008, s2 = 6692858, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657008, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13465807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3361623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3361623, s2 = 1338414, int(edited[s2]) = 0 s1 = 3361623, s2 = 1338414, d1 = 18, d2 = 21 Dl.O(d1) = 109826536,95622090,81588324,68098509,55700953,44793400,35368776,27244875,25092741,25092740,32791041,267872828,20313412,27244863,35368757,255342900,68098465 Dl.O(d2) = 16090968,254352106,38136845,48050216,53123876,42672991,33643787,25840544,25840543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3361623, s2 = 1338414, dlinesl.size( ) = 2 s1 = 3361623, s2 = 1338414, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3361623, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 3082212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3082212, s2 = 11330890, int(edited[s2]) = 0 s1 = 3082212, s2 = 11330890, d1 = 9, d2 = 6 Dl.O(d1) = 95623774 Dl.O(d2) = 64732108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3082212, s2 = 11330890, dlinesl.size( ) = 2 s1 = 3082212, s2 = 11330890, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3082212, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 3362318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3362318, s2 = 11658849, int(edited[s2]) = 0 s1 = 3362318, s2 = 11658849, d1 = 5, d2 = 13 Dl.O(d1) = 109836937 Dl.O(d2) = 35383740,27258479,20324419,14585671,10036080,6595410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3362318, s2 = 11658849, dlinesl.size( ) = 2 s1 = 3362318, s2 = 11658849, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3362318, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11657632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657632, s2 = 3362505, int(edited[s2]) = 0 s1 = 11657632, s2 = 3362505, d1 = 0, d2 = 0 Dl.O(d1) = 61598122,74374315,84388352,70830991,70830992,58116133,58116134,50118455,50118456,257744334,68116118,68116117,81604789,95637608,109841117,123980668,137662557,150659986,162756034,173757215,173547720,262084313,262005902,95157337,81099433,81099432,95157336,89377377,89377378,103474211,93379293,79252093,65888558,53820815,43295945,34198267,256184537,19598536,14042783,254676029,6349031,6349056,3983598,2387502,1382132,786277,786276,1382130,2387498,3983591,6349046,9655529,9655528,14042744,19598493,255714553,19598491,19598490,26325358,34198195,256704419,53820746,260355217,136169148,149418952,161709879,262783982,188759087,179776640,169577247,158199296,145829842,132612426,257609320,255981390,51738598,41469645,32592591,32592592,255981392,44068205,54868885,67188651,67188652,80663597,94741820,109022228,123247613,137015625,147766985,134636432,120839223,106590762,92292399,257770292,64991676,53016596,42576454,33559824,33559825,40124459,31445029,23953278,17607141,15628385,15628383,11528937,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999204,11949933,13659549,13659548,19130525,25770483,33559827,42576456,53016599,50441674,50441673,61932391 Dl.O(d2) = 61598122,74374315,84388352,70830991,70830992,58116133,58116134,50118455,50118456,257744334,68116118,68116117,81604789,95637608,109841117,123980668,137662557,150659986,162756034,173757215,173547720,262084313,262005902,95157337,81099433,81099432,95157336,89377377,89377378,103474211,93379293,79252093,65888558,53820815,43295945,34198267,256184537,19598536,14042783,254676029,6349031,6349056,3983598,2387502,1382132,786277,786276,1382130,2387498,3983591,6349046,9655529,9655528,14042744,19598493,255714553,19598491,19598490,26325358,34198195,256704419,53820746,260355217,136169148,149418952,161709879,262783982,188759087,179776640,169577247,158199296,145829842,132612426,257609320,255981390,51738598,41469645,32592591,32592592,255981392,44068205,54868885,67188651,67188652,80663597,94741820,109022228,123247613,137015625,147766985,134636432,120839223,106590762,92292399,257770292,64991676,53016596,42576454,33559824,33559825,40124459,31445029,23953278,17607141,15628385,15628383,11528937,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999204,11949933,13659549,13659548,19130525,25770483,33559827,42576456,53016599,50441674,50441673,61932391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657632, s2 = 3362505, dlinesl.size( ) = 2 s1 = 11657632, s2 = 3362505, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11657632, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8589700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8589700, s2 = 9661542, int(edited[s2]) = 0 s1 = 8589700, s2 = 9661542, d1 = 1, d2 = 0 Dl.O(d1) = 98554607,84630688,84630687,98554609,101899454,112548669,98554606,84630685,71067369,58351048,46981638,37097956,28591305,28591304,37097954,257437341,65543722,65543721,78878846,92990516,107400839,121785334,129845289,115945497,101899417,101899416,101899431,115945520,129845284,129845285,143176549,155730519,152510109,139792134,126418421,126418420,139792131,150660390,259130610,109841549,95638149,81605437,68116860,68116861,81605440,95638155,109841559,123981056,137662962,150660423,162756443,150660426,142105801,142105800,154742040,166450560,166450557,166450558,171343228,171343229,162756450,150660412,150660413,160118212,160118213,171343226,181370266,262354396,204259373,204259374,205644073,199423417,192071391,192071390,194550623,186393302,177034856,177034857,177034849,166450551,166450552,177034851,186393299,194550618,186445443,177090867,166509817,272319304,142169353,154803506,166509820,166509814,154803503,154803502,166509812,177090862,186445441,177386170,166838166,262398374,154803504,142169351 Dl.O(d2) = 115191079,115191078,101112948,87114895,73496234,60747349,60747348,73496233,87114893,100866999,86886828,73275376,73275375,86886827,73275389,60530889,257698089,40639330,40639331,50698495,258307637,85428241,85428240,88692543,102701638,88692538,88692537,88692544,102701643,100867000,88692539,88692540,102701639,116794248,130619091,142169360,142169361,154803515,143926641,143926642,156433585,167997275,178410410,186445451,177090881,166509828,154803512,142169358,142169359,262297335,263203711,148404813,135239591,121389872,107092760,92752400,78688987,78688988,92752403,107092764,121389881,135239603,135239601,127227578,113369941,99369511,85428209,71842409,257487203,256365451,29222801,37784559,37784548,29222795,21907345,15826183,10967362,10967361,15826180,21907337,29222783,37784533,47705375,47705362,37784528,37784519,29222773,21907332,21907330,256365443,47705359,47705360,47705361,59103494,71842343,259346267,71842467,59103625,47705498,37784628,37784629,47705500,59103626,60256882,48863930,38944195,30358007,30358006,29222871,21907393,15826213,15826212,21907389,29222865,37784617,47705491,257728411,257142185,62995455,62995450,51316415,41132854,41132853,41132857,51316418,62995451,258966929,75978149,257728417,51316439,269040601,41132865,51316426,258341431,89756891,103860474,103860490,103860489,114582220,103860488,89756912,75978156,62995480,51316448,41132875,32319100,24704639,255225637,12933468,18233892,24704644,32319105,41132886,51316445,51316465,48834503,48834504,60229249,62995476,60229250,48834505,38913625,30326642,22925542,16691069,11652018,11652019,16691074,22925554,30326658,24356154,17962087,17962086,24356152,31882650,40589654,50637429,269771089,58006582,70722147,71107763,58390925,58390924,58483998,47105740,37209026,28684992,21435201,21435202,25381722,25381721,33117096,42066029,47015671,37128332,28616907,28616906,37128329,47015665,58386787,71103440,61501038,61501039,71450218,58719815,47331348,37423066,37423067,38913592,30326621,30326622,38913596,48834460,47425794,37518007,28974279,21691674,21691675,24356146,24356147,31882642,255860188,62143609,58006584,46631563,46631564,58006586,70722153,58719807,47331344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8589700, s2 = 9661542, dlinesl.size( ) = 2 s1 = 8589700, s2 = 9661542, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8589700, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 3362647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13509011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2779044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2779044, s2 = 7273435, int(edited[s2]) = 0 s1 = 2779044, s2 = 7273435, d1 = 8, d2 = 11 Dl.O(d1) = 68130168,81619632,95652477,109855706,123994470,137675781,150672311,162766681,173766410,260602778,167079142,155438847,142856348,129537734,115651579,101610580,87643588,74040164,72281846,72281847,85874138,99828137,113844318,127715350,129537733,258759762,155438846,167079141,177585088,261179838,194964570,262242472,262720620,216450206,219708283,222459633,224821976,226873255 Dl.O(d2) = 230233660,230116339,264831980,263998058,263270666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2779044, s2 = 7273435, dlinesl.size( ) = 2 s1 = 2779044, s2 = 7273435, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2779044, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 3363158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3363158, s2 = 14601485, int(edited[s2]) = 0 s1 = 3363158, s2 = 14601485, d1 = 6, d2 = 0 Dl.O(d1) = 109860790 Dl.O(d2) = 81624680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3363158, s2 = 14601485, dlinesl.size( ) = 16 s1 = 3084007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3084007, s2 = 4057382, int(edited[s2]) = 0 s1 = 3084007, s2 = 4057382, d1 = 2, d2 = 5 Dl.O(d1) = 95659768 Dl.O(d2) = 150678230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3084007, s2 = 4057382, dlinesl.size( ) = 2 s1 = 3084007, s2 = 4057382, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3084007, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8379120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8379120, s2 = 13492318, int(edited[s2]) = 0 s1 = 8379120, s2 = 13492318, d1 = 254, d2 = 251 Dl.O(d1) = 260884132,120175738,109866574,95662659,81629257,68139161,55741239,44833346,35407953,35407955,40824512,32681335,25003112,18476992,13126600,13125807,13125805,18333279,18333283,18475482,25001061,255654066,24680657,19082123,13623609,9328787,9328786,10053988,7213253,7213250,10053984,7213253 Dl.O(d2) = 25808036,25808037,33605901,42630840,53078355,65060736,78339569,75545146,62607058,62607059 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659066, s2 = 8021436, int(edited[s2]) = 0 s1 = 11659066, s2 = 8021436, d1 = 16, d2 = 18 Dl.O(d1) = 63738784,269064251,32720895,25034259,18501041,18501040,18501042,25034260,25231041,18662333,13270634,9055597,9055598,8918041,5819758,3630406,3630407,5819760,8918044,255235867,255633865,256606091,256253953,20584102,14764595,10154014,6669621,6669617,10153838,10153840,14764173,20583139,27631929,35928338,45576823,52737103,56945855,65858382,53796276,53785950,53785948,56775888,56775887,69352206,79124993,79124990,93240751,83089341,83089339,97020323,97048611,93350039,259814633,81768568,81768569,95834592 Dl.O(d2) = 99783006,85829746,72237499,59502273,256615244,255640372,16141376,11213536,11213537,16141378,22284808,23139025,23139024,27158267,35257332,44641872,40575932,37775610,29214049,29214050,22823773,16603298,11579677,11579676,16603294,22823766,255071870,26037765,19359971,19359974,19795022,14178958,14178959,19795024,18854023,13433109,9184243,6011197,3759711,3759714,6011207,9184260,13433147,14178889,14178888,17167886,12071281,8117397,5200396,3172626,3172628,5200403,8117416,12071317,17167959,23442001,30870453,26601486,24121200,17759844,254868429,8522300,12567349,255584403,13341530,9115271,5963890,5963889,9115267,13341520,14593536,14593537,20334522,19792850,14177371,14177372,14174341,9744469,6407518,6407519,9744470,14174343,12047181,12047182,17141735,23417754,30848087,26613066,256198925,20281160,14552107,14552108,20281162,19801114,14183357,14183355,19801111,15822769,10965167,7257984,4577374,4577373,7257978,10965158,15822736,12567418,10965415,7258127,7258126,7257872,254344529,1596402,907523,907522,1596400,2753894,4577303,7257830,10964857,15822266,21901943,29216187,36835252,36835251,38796003,30211674,30211673,31234635,31234634,30503937,23089739,16835631,15819714,10963347,7257032,7257033,10963350,7257260,7257257,10963778,7631523,4828211,4828208,7631505,11473518,15820326,21899305,19138375,19138377,25779669,27208271,20280155,20280154,14594057,10042132,6599372,6599373,10042136,14594062,10965211,10965212,15822839,21902684,29217012,37777930,37945151,29380053,22049677,15946438,11065899,7337324,4634784,2791969,2791973,4634800,7337363,11065976,15946560,22031514,254123192,25059326,18520761,13159277,8969552,8969550,13159263,8969533,8969535,13159291,18520805,25059384,32751339,41662389,51970171,63785317,257041368,35936245,35641690,27445600,27445601,35641693,45161971,56176143,68661769,82191196,96217174,110373319,270886604,130483971,116644027,109643021,95403997,83097594,69569933,56965927,56965926,69521134,56923223,45732135,36034850,32265306,32265304,41063222,51225781,62881321,56923042,56923043,69520939,69520937,77651482,75873197,62902414,51239743,51239742,52593392,55562076,258546915,258854014,257622946,40983728,40983731,51126806,56035608,45055441,35567203,27395483,20427660,14659421,10082809,10082807,14652748,10078825,6648448,6648449,6611525,6611522,4182507,2500989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659066, s2 = 8021436, dlinesl.size( ) = 20 s1 = 10158791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158791, s2 = 8269801, int(edited[s2]) = 0 s1 = 10158791, s2 = 8269801, d1 = 22, d2 = 17 Dl.O(d1) = 20265880,14540389,14540388,20265879,27189926,20265892,20265891,27189942,256286270,53167910,55627445,44729390,44729391,55627447,47142802,37237620,28707088,21452451,21452452,28707091,37237626,42718440,35309579,35309578,35309826,44729358,55627415,55627577,61879141,61879142,257928425,44729544,44729545,40266039,31578940,31578941,40266040,50287261,61767062,68142588,61767245,61767246,68013758,55626511,44728496,44728494,47647359,47647358,59048703,55626682,256914801,29299064,21972233,255876875,29299351,21972456,15878645,11007112,7286655,7286656,11007114,15878649,21972463,21972505,28755801,21496448,15489988,15489989,21496451,28481886,36979186,46857810,58225564,70942614,71799457,74277274,61500529,50022461,40004118,31326236,23835294,17496100,17496101,23835297,31326238,40004120,50022466,61500538,269398376,256520308,258590161 Dl.O(d2) = 105485231,91262626,77342572,64195179,257262572,18754148,13353590,13353591,13659075,19130032,25769980,33559357,268498786,34615920,34615921,43888086,43052014,33993092,26151611,26151612,33993094,28422195,28422192,36823967,28328358,28328357,36823961,37499135,28956326,28956327,28956391,28956389,28910094,28910095,37449696,36779732,28283576,21078223,21078219,28283565,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,21712494,15670045,15670043,19461171,26161176,26161179,30432949,37890476,37890477,43060773,34002482,34002481,37885771,29316867,21988528,17105425,17105426,23374762,19457337,19457338,26156520,32837974,36823260,36823259,36779625,28283446,21078133,15140684,10442586,6884173,6884172,10442607,15140729,21069059,15134031,10437929,10437931,9559415,9559409,13927455,13927454,19461398,13927612,13927611,19461622,26161679,34003331,37889600,30227137,30227138,38809816,268497046,26221905,26221906,28950848,28950849,255678264,26157595,33999468,33998431,26156554,19457368,19457367,254451238,254303684,26161356,19461330,19461331,268149710,33966565,255677892,29320343,21991499,15893990,13927416,13927419,11018280,11018278,13907847,13907849,13925716,19064974,19064975,268321315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158791, s2 = 8269801, dlinesl.size( ) = 8 s1 = 9068120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9068120, s2 = 14164791, int(edited[s2]) = 0 s1 = 9068120, s2 = 14164791, d1 = 1, d2 = 1 Dl.O(d1) = 23262766,30679327,39276192,49202780,60603627,73348801,86960449,257424636,122377165,107950826,93513522,79376938,66008773,269000186,34310047,26432063,19694055,14120748,14120747,17241062,12124121,8155711,5226057,3188061,3188062,5226058,5226285,3188186,3188184,3590823,3590824,5764995,7072347,4452721,4452722,7072354,10704943,15480345,19871036,14237129,14237130,18334840,24827636,25916377,26661733,19847018,15814619,15814618,14219013,14219012,14474609,9959174,6545489,4100697,4100698,254317225,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957213,14471801,20170622,27064769,35150520,44526939,47457492,47457491,37983561,37983562,35143106,27057854,254921208,25892255,25892254,33698235,38500573,255871686,35153850,27068012,20173302,254765324,9958639,14473867,11095860,7358805,7358804,11095859,15983136,22089815,29420336,29937465,22574847,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,4795098,4795093,7581160,11408929,16392584,22575515,255062980,48407958,268934920,84232688,70679597,57961143,46584621,257407165,70679598,84232689,270877342,97588973,83715460,257025730,46211345,36380972,36380971,256130744,15226603,10503121,10503122,15226606,15226609,15226610,15222159,10500208,10500209,10502506,6925260,6925259,10502504,15225681,21188247,21652822,21652821,28930079,32247472,24649035,18192051,12903187,12903188,18192054,13704118,9386239,9386237,13704106,19188496,16811996,13457750,9203071,6025264,6025267,9203084,13457728,18884796,16807074,16807075,11755142,7848741,7848740,10498916,10498917,15220319,16806619,11756253,11756254,16812029,16812362,255513471,16812696,23060453,30469612,39060214,48982629,43258507,34168264,26300228,19577073,19577072,15227371,11136719,11136718,16038948,255725040,11485213,7639088,4833019,4780567,2880853,2880854,4780570,3009154,1747973,1747972,993970,993969,1747999,3009210,4981406,7847399,11752955,16807187,255957469,39050654,259437371,58627696,258201382,23879687,23879686,256524495,39199833,39199832,31715671,30602669,30602668,39199132,42357454,42357453,52757018,256311232,36429279,27970676,20807507,14912396,14912397,20807509,27970680,36429285,46281996,57626321,255393336,34122703,26257357,26257356,34122701,34122725,26257370,19538637,13990207,9610748,6312586,6312585,254953821,19538629,26257354,34122698,43210022,53721894,65778652,79133482,71536636,71536637,85107968,71536642,58807553,58807552,58807578,64252654,257801160,18785280,18785281,16934522,11852186,7921538,7921539,11852189,16934526,23204887,30627529,256238991,20318531,14581566,10033520,6593969,254476427,4131060,6593974,9386799,9386800,6310974,6310978,8478745,5480659,3372542,3372546,3372592,3372671,1984642,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,2232523,1294693,1294694,2232525,3728892,5963071,254915149,18737859,25315234,20316839,20316840,18128171,12854426,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,11766870,7856071,4986189,3011685,3011686,4986192,7856082,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,10997022,10997020,11717916,13199820,18574842,25127417,18574967,13199908,13199907,18574964,255731618,32832676,25127685,18575057,18575056,268251992,40238211,31552226,24048404,256032281,40238214,34675485,34675483,43950320,54694072,66952895,80382436,70496140,57795223,46439857,36574742,36574741,46439856,57795221,70496139,258285830,40729222,40729223,257093412,75313692,258645034 Dl.O(d2) = 23262766,30679327,39276192,49202780,60603627,73348801,86960449,257424636,122377165,107950826,93513522,79376938,66008773,269000186,34310047,26432063,19694055,14120748,14120747,17241062,12124121,8155711,5226057,3188061,3188062,5226058,5226285,3188186,3188184,3590823,3590824,5764995,7072347,4452721,4452722,7072354,10704943,15480345,19871036,14237129,14237130,18334840,24827636,25916377,26661733,19847018,15814619,15814618,14219013,14219012,14474609,9959174,6545489,4100697,4100698,254317225,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957213,14471801,20170622,27064769,35150520,44526939,47457492,47457491,37983561,37983562,35143106,27057854,254921208,25892255,25892254,33698235,38500573,255871686,35153850,27068012,20173302,254765324,9958639,14473867,11095860,7358805,7358804,11095859,15983136,22089815,29420336,29937465,22574847,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,4795098,4795093,7581160,11408929,16392584,22575515,255062980,48407958,268934920,84232688,70679597,57961143,46584621,257407165,70679598,84232689,270877342,97588973,83715460,257025730,46211345,36380972,36380971,256130744,15226603,10503121,10503122,15226606,15226609,15226610,15222159,10500208,10500209,10502506,6925260,6925259,10502504,15225681,21188247,21652822,21652821,28930079,32247472,24649035,18192051,12903187,12903188,18192054,13704118,9386239,9386237,13704106,19188496,16811996,13457750,9203071,6025264,6025267,9203084,13457728,18884796,16807074,16807075,11755142,7848741,7848740,10498916,10498917,15220319,16806619,11756253,11756254,16812029,16812362,255513471,16812696,23060453,30469612,39060214,48982629,43258507,34168264,26300228,19577073,19577072,15227371,11136719,11136718,16038948,255725040,11485213,7639088,4833019,4780567,2880853,2880854,4780570,3009154,1747973,1747972,993970,993969,1747999,3009210,4981406,7847399,11752955,16807187,255957469,39050654,259437371,58627696,258201382,23879687,23879686,256524495,39199833,39199832,31715671,30602669,30602668,39199132,42357454,42357453,52757018,256311232,36429279,27970676,20807507,14912396,14912397,20807509,27970680,36429285,46281996,57626321,255393336,34122703,26257357,26257356,34122701,34122725,26257370,19538637,13990207,9610748,6312586,6312585,254953821,19538629,26257354,34122698,43210022,53721894,65778652,79133482,71536636,71536637,85107968,71536642,58807553,58807552,58807578,64252654,257801160,18785280,18785281,16934522,11852186,7921538,7921539,11852189,16934526,23204887,30627529,256238991,20318531,14581566,10033520,6593969,254476427,4131060,6593974,9386799,9386800,6310974,6310978,8478745,5480659,3372542,3372546,3372592,3372671,1984642,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,2232523,1294693,1294694,2232525,3728892,5963071,254915149,18737859,25315234,20316839,20316840,18128171,12854426,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,11766870,7856071,4986189,3011685,3011686,4986192,7856082,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,10997022,10997020,11717916,13199820,18574842,25127417,18574967,13199908,13199907,18574964,255731618,32832676,25127685,18575057,18575056,268251992,40238211,31552226,24048404,256032281,40238214,34675485,34675483,43950320,54694072,66952895,80382436,70496140,57795223,46439857,36574742,36574741,46439856,57795221,70496139,258285830,40729222,40729223,257093412,75313692,258645034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9068120, s2 = 14164791, dlinesl.size( ) = 2 s1 = 9068120, s2 = 14164791, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9068120, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 9220297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9220297, s2 = 16349478, int(edited[s2]) = 0 s1 = 9220297, s2 = 16349478, d1 = 151, d2 = 39 Dl.O(d1) = 256637703,52400630,64255984,77405740,91324264,260267577,133645307,144414406,144414407,151395982,272314634,260183088,262392231,131183165,131183164,125348131,111529191,97588421,97588420,261042045,142011251,128648674,128648675,271795890,114748451,111531792,111531793,259977288,146584289,154655122,142011262,128648685,119480229,105255950,91046226,77141516,64010813,64010812,77141514,258315166,114748485,260183084,137590103,123909040,259567710,97590941,83717357,70195888,70195889,83717359,97590945,258315164,91046214,86724765,73119319,73119320,77141511,64010810,64010811,257704160,95571938,81541518,81541519,83717354,83717353,97590939,100699811,114748436,125351095,111531801,97590973,257929392,70195925,83717398,97590971,101764490,101764491,105255936,105255935,258733872,83717363,83717364,97590948,97590976,102143663,88152570,74537574,61753500,61753499,74537573,270315892,101764492 Dl.O(d2) = 72467466,59731639,48347509,38445417,29889115,22534801,254964054,38445415,48347508,59240089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9220297, s2 = 16349478, dlinesl.size( ) = 2 s1 = 9220297, s2 = 16349478, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9220297, Dl.E( ) = 164, 6.7e-05 seconds used appending s1 = 3087081, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8148769, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8485743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8485743, s2 = 10356656, int(edited[s2]) = 0 s1 = 8485743, s2 = 10356656, d1 = 22, d2 = 24 Dl.O(d1) = 30453958,23045506,23045505,24362782,30088910,22707030,22707032,25930615,25930616,33737558,42767539,53217345,65203372,78488108,257581932,111654482,97733509,83874567,83874566,97733508,111654481,260053786,148020142,148020141,134900607,125457043,111654483,97733510,97733511,111654478,111654479,125457030,271849486,151487356,163371029,151487361,138785907,260653758,97733512,97733513,111654488,125457045,125457046,138785909,138785896,125457027,125457028,125457049,260053788,83874571,70349542,57659451,57659452,70349544,83874574,97733516,111654495,98962020,98962019,111654474,258856896,83874550,70349516,57659421,57659422,70349519,57659448,46315152,36462234,36462233,46315150,57659444,46315146,36462231,28003348,20838596,14939362,10274787,6752439,6752440,10274789,14939364,20838598,28003352,36462235,269293779,36462221,36462222,46315128,257996421,70349521,70349513,57659416,57659417,258620383,97733480 Dl.O(d2) = 273514007,264148559,264701327,218545794,265430769,273710680,263238734,262338752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8485743, s2 = 10356656, dlinesl.size( ) = 20 s1 = 13544667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10227401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10227401, s2 = 10233055, int(edited[s2]) = 0 s1 = 10227401, s2 = 10233055, d1 = 6, d2 = 11 Dl.O(d1) = 260672484,258832688,257602088,70351623,258209762,111656372,111656454,97735590,83876607,70351644,57661653,46317423,46317422,57661651,70351636,83876589,97735571,111656418,125458813,138787562,151488957 Dl.O(d2) = 151488924,163372531,151488922,138787515,138787516,151488924,163372533,174225211,174225222,174225223,174225224,174225214,261247268,151488933,261793248,163372558,151488980,138787597,138787580,131192056,117388914,117388912,111656444,97735588,83876605,70351643,70351642,83876603,97735586,111656451,125458835,261599903,151488956,138787561,138787562,261247280,138787596,138787595,261247272,138787540,125458790,125458789,125458815,111656436,111656435,261599903,151488956,151488955,163372534,151488925,151488924,163372533,174225210,183895028,261793256,151488959,151488960,261247274,138787545,151488941,261247286,151488969,151488951,151488952,151488958,138787564,125458816,258832698,83876583,70351635,57661650,57661627,46317403,46317402,57661626,46317413,36464632,36464631,46317412,57661638,70351620,83876555,97735522,111656376,125458792,138787544,151488940,260672494,111656449,125458852,138787594,151488978,163372568,174225223,174225224,174225214,261247268,151488933,163372539,163372550,151488973,138787587,138787543,138787544,151488939,151488938,138787573,125458832,125458833,260672488,138787594,151488977,163372543,151488938,138787541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10227401, s2 = 10233055, dlinesl.size( ) = 2 s1 = 10227401, s2 = 10233055, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 10227401, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 829152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3090260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3090314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6872085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6872085, s2 = 2314751, int(edited[s2]) = 0 s1 = 6872085, s2 = 2314751, d1 = 12, d2 = 10 Dl.O(d1) = 259485888 Dl.O(d2) = 61989599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6872085, s2 = 2314751, dlinesl.size( ) = 2 s1 = 6872085, s2 = 2314751, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6872085, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 6988773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6988773, s2 = 11689358, int(edited[s2]) = 0 s1 = 6988773, s2 = 11689358, d1 = 107, d2 = 23 Dl.O(d1) = 261049713,97781318,83922761,70396598,57702515,46353252,36495348,256273089,20864790,14962687 Dl.O(d2) = 77225966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6988773, s2 = 11689358, dlinesl.size( ) = 2 s1 = 6988773, s2 = 11689358, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6988773, Dl.E( ) = 108, 4.7e-05 seconds used appending s1 = 9494110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6944874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9693575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3154565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6848783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6586617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6586617, s2 = 4197997, int(edited[s2]) = 0 s1 = 6586617, s2 = 4197997, d1 = 20, d2 = 8 Dl.O(d1) = 256275628,111733854 Dl.O(d2) = 159136902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6586617, s2 = 4197997, dlinesl.size( ) = 32 s1 = 3371354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3371354, s2 = 6558829, int(edited[s2]) = 0 s1 = 3371354, s2 = 6558829, d1 = 7, d2 = 7 Dl.O(d1) = 111734003,97811897,97811896,83952795,70426246,258185558,46381647,36522153,255952904 Dl.O(d2) = 111734003,97811897,97811896,83952795,70426246,258185558,46381647,36522153,255952904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3371354, s2 = 6558829, dlinesl.size( ) = 2 s1 = 3371354, s2 = 6558829, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3371354, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 9660190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9464011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6945199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6945199, s2 = 6743228, int(edited[s2]) = 0 s1 = 6945199, s2 = 6743228, d1 = 13, d2 = 8 Dl.O(d1) = 260474801 Dl.O(d2) = 258003744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6945199, s2 = 6743228, dlinesl.size( ) = 14 s1 = 3372117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6797003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6797003, s2 = 6921279, int(edited[s2]) = 0 s1 = 6797003, s2 = 6921279, d1 = 66, d2 = 92 Dl.O(d1) = 258628367,97831394 Dl.O(d2) = 195504213,187488211,178277408,167839674,156250444,260112786 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3093756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3372469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9191967, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9711660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9711660, s2 = 16193117, int(edited[s2]) = 0 s1 = 9711660, s2 = 16193117, d1 = 1, d2 = 1 Dl.O(d1) = 259986681,113673852,127544519,133457937,133457936,123998778,123998777,125674119,114828901,100777071,258817627,60437329,49033349,49033348,60437328,49033352,47278641,47278640,58669971,50394332,50394333,268223342,40359019,50394335,43006933,33950708,33950709,43006932,50507052,50507051,257100606,88427013,102428417,88427019,74794957,74794955,88427016,259540348,138959127,125620959,111806410,97873967,84005243,259256677,91320633,77402265,258991198,77402263,83866795,258535158,81167620,95224063,109478041,260995963,125620992,111806443,97873995,84005272,70471643,57772218,46418435,46418434,57772216,70471638,81624363,68134493,68134494,68134495,81624365,95224069,81167624,81167623,81167627,81167625,81167626,95224070,97873984,84005260,84005259,81167621,67701829,55361974,44515600,44515601,55361975,67701831,57772214,46418433,46418432,57772212,270274859,49353592,39423911,30818927,255099858,31764080,31609891,24107578,17748704,17748706,16241696,11291703,7496994,7496995,11291706,12635662,17843400,14195681,255314587,254979196,12633097,12633100,12633222,14198349,16052145,14095075,12030204,12030201,17119151,17119152,23391076,30174736,268229418,30818933,23389810,17117961,17117960,23389808,30818929,39423913,36555237,28086209,28086210,36555227,28086203,20913051,255479412,36555226,46418427,57772208,70471629,84005249,97873975,111806415,118461123,104289917,90149502,76330473,63306023,51586957,41364895,41364896,32906433,25195019,18633288,13247699 Dl.O(d2) = 259986681,113673852,127544519,133457937,133457936,123998778,123998777,125674119,114828901,100777071,258817627,60437329,49033349,49033348,60437328,49033352,47278641,47278640,58669971,50394332,50394333,268223342,40359019,50394335,43006933,33950708,33950709,43006932,50507052,50507051,257100606,88427013,102428417,88427019,74794957,74794955,88427016,259540348,138959127,125620959,111806410,97873967,84005243,259256677,91320633,77402265,258991198,77402263,83866795,258535158,81167620,95224063,109478041,260995963,125620992,111806443,97873995,84005272,70471643,57772218,46418435,46418434,57772216,70471638,81624363,68134493,68134494,68134495,81624365,95224069,81167624,81167623,81167627,81167625,81167626,95224070,97873984,84005260,84005259,81167621,67701829,55361974,44515600,44515601,55361975,67701831,57772214,46418433,46418432,57772212,270274859,49353592,39423911,30818927,255099858,31764080,31609891,24107578,17748704,17748706,16241696,11291703,7496994,7496995,11291706,12635662,17843400,14195681,255314587,254979196,12633097,12633100,12633222,14198349,16052145,14095075,12030204,12030201,17119151,17119152,23391076,30174736,268229418,30818933,23389810,17117961,17117960,23389808,30818929,39423913,36555237,28086209,28086210,36555227,28086203,20913051,255479412,36555226,46418427,57772208,70471629,84005249,97873975,111806415,118461123,104289917,90149502,76330473,63306023,51586957,41364895,41364896,32906433,25195019,18633288,13247699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9711660, s2 = 16193117, dlinesl.size( ) = 2 s1 = 9711660, s2 = 16193117, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9711660, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4064988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6849604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3374248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3374248, s2 = 11648042, int(edited[s2]) = 0 s1 = 3374248, s2 = 11648042, d1 = 7, d2 = 12 Dl.O(d1) = 111836623 Dl.O(d2) = 259538132,4814735,4814736,6814887,10349993,15022222,20930251,16429155,16419350,254908058,11759369,7851345,4983695,3010415,3010413,4983518,3010344,3010346,4983557,7851275,257583743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3374248, s2 = 11648042, dlinesl.size( ) = 14 s1 = 1756356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1756356, s2 = 6820985, int(edited[s2]) = 0 s1 = 1756356, s2 = 6820985, d1 = 97, d2 = 77 Dl.O(d1) = 46446396,258633571,97907856 Dl.O(d2) = 258859415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8229817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14601949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14601949, s2 = 7665578, int(edited[s2]) = 0 s1 = 14601949, s2 = 7665578, d1 = 22, d2 = 21 Dl.O(d1) = 20943576,15035158,255369215,256282689,46460292,57816379 Dl.O(d2) = 271755393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7665577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6797800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164628, s2 = 2485795, int(edited[s2]) = 0 s1 = 14164628, s2 = 2485795, d1 = 1, d2 = 1 Dl.O(d1) = 31574062,24068566,17712645,12529689,12529688,17712644,24068564,31574061,40261065,41655803,41655802,46956796,37076432,37076431,41029858,32237408,24639571,24639570,23246083,16979951,11893321,11893323,16979954,23246088,30663271,39259108,40624540,31910259,29832684,22465679,21628910,15597928,10790299,7128941,6586330,6586331,9754337,10020588,14562329,15003773,14020351,11512900,7658581,4845748,4845746,7658573,7999032,11949669,10298171,7384544,4665348,4665349,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228832,2528479,2528476,4228818,6748845,10269934,11509667,11509668,8159365,8159366,12127741,13605555,9316462,9316463,13605560,14607369,10051333,10051332,13318567,13318566,13785410,13785409,13598830,13598829,19049542,25669977,30109772,22729033,22729034,22029734,22029733,29360132,30157214,22768885,16554807,11538854,7676645,7676644,10275544,10275546,6752901,4231462,2530011,254321487,6752902,10275585,14940486,20839873,28004481,30590121,23171770,16908236,11833018,11833019,16908238,23171774,30590127,23172005,23172003,30590481,39188066,49116709,49117108,255689812,23172560,16908760,11833373,7908341,7908340,11833370,16908754,23172552,30591098,39188594,40112204,40112203,39188617,39188618,49117104,49117105,257731758,49220632,49220631,60621106,73365540,86976869,85589825,72002899,59266757,47871218,37953064,29388101,29388100,30593518,39190857,49118958,40918242,32141054,24559072,18120708,12848926,8737477,8737476,12848924,18120703,24559067,32141049,40918234,257015840,40914846,32137121,24555647,18118180,18118179,24555646,32137120,38013095,29451047,22117322,22117321,24556229,18118599,12847646,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559398,24559403,25245978,18675577,17230477,17230479,18675787,25246283,32968375,25246267,24556330,24556331,32137930,24557836,24557838,24556739,23386718,23386719,18119467,12848168,8737011,5687959,5687958,8737006,12848157,18119443,24556989,18119148,18119147,24556982,29436627,22652627,22652629,30025693,38598336,40917933,48554157,38639390,38639389,32968035,32968036,41907375,49132045,40915674,32138065,24558693,24558692,32140630,40917884,51058779,58810771,58810770,50010218,39992223,31315396,31315397,39992226,40916308,40916305,51057640,61458010,59320066,48512959,268242296,31315521,37522363,30760349,30760347,39361254,32962870,25241374,25241375,32962878,40917518,42760579,33730673,33730672,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173037,23449144,30880056,39485683,255812026,268607632,52244928,52244929,58816498,68145451,268600110,44839880,47429817,268378290,58470886,47915579,255811984,58597217,47207018,37300525,37300526,32137860,32137859,37999332,37522176,28978243,28978244,37522178,39429876,49359522,40262019,31574936,31574937,31778927,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,32461262,32461263,41304371,47791727,42486130,256416184,36597694,46464094,57820112,258137081,85937475,260483029,111861048,98446920,84524886,70961356,58244771,46877788,36999415,28502014,21283828,21283822,21283821,28502009,28501908,21283736,270286618,15320437,10581693,10581694,15320440,15320350,15320351,21283862,28502041,36999435,46877808,58244788,70961378,61465200,59698926,48312051,38401330,29829098,22461760,22461759,29829097,38401329,48312050,59698923,72434485,86032037,86032047,74822764,62026004,50534239,40498963,40498964,38337911,29766897,29766896,30032872,22658243,16464698,16464697,11565923,11565922,11572129,9883677,6493837,4069036,2434824,1408085,1408086,2434826,4069040,6493847,9883696,11395397,7571424,4788370,4788369,7571423,11395395,16373899,22550314,29906442,29000128,21714940,21714939,15720166,10883460,9848683,6507319,4077779,4077778,6507312,9849142,6488771,6488773,9877014,10888377,9877634,6489230,6489232,9877641,9893207,9876044,6503203,4075075,4069480,2435126,1408251,1408252,2435129,4069483,267946707,14377550,15626805,15626804,14380617,9886407,6495876,4070396,2435667,1408555,1408556,2435672,2435635,2435634,4070352,2435682,2435681,4070410,6495905,9886447,10882929,7195647,7195646,5396879,3318607,1952268,1952269,3318609,5396881,8361339,7197949,7197950,7197962,7197963,10885614,15722253,14394000,14394001,11589685,7714638,4882738,4882737,7714635,254371231,3003228,4972201,4076145,4076144,6485402,4063878,4063879,254686279,14365501,16617276,11590955,11590954,9875998,7194510,7194509,10881631,14357717,9865463,9865464,267871087,4071564,4077964,4077965,4071192,4071193,6497167,6505456,9898470,9964400,6548818,6548819,9964402,11556219,11556220,16575159,14482591,14482592,14372345,14372344,15764849,14390941,14390942,20049076,20049075,14379853,9885695,6495357,4070070,267871049,9885699,9846807,6467262,4052161 Dl.O(d2) = 31574062,24068566,17712645,12529689,12529688,17712644,24068564,31574061,40261065,41655803,41655802,46956796,37076432,37076431,41029858,32237408,24639571,24639570,23246083,16979951,11893321,11893323,16979954,23246088,30663271,39259108,40624540,31910259,29832684,22465679,21628910,15597928,10790299,7128941,6586330,6586331,9754337,10020588,14562329,15003773,14020351,11512900,7658581,4845748,4845746,7658573,7999032,11949669,10298171,7384544,4665348,4665349,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228832,2528479,2528476,4228818,6748845,10269934,11509667,11509668,8159365,8159366,12127741,13605555,9316462,9316463,13605560,14607369,10051333,10051332,13318567,13318566,13785410,13785409,13598830,13598829,19049542,25669977,30109772,22729033,22729034,22029734,22029733,29360132,30157214,22768885,16554807,11538854,7676645,7676644,10275544,10275546,6752901,4231462,2530011,254321487,6752902,10275585,14940486,20839873,28004481,30590121,23171770,16908236,11833018,11833019,16908238,23171774,30590127,23172005,23172003,30590481,39188066,49116709,49117108,255689812,23172560,16908760,11833373,7908341,7908340,11833370,16908754,23172552,30591098,39188594,40112204,40112203,39188617,39188618,49117104,49117105,257731758,49220632,49220631,60621106,73365540,86976869,85589825,72002899,59266757,47871218,37953064,29388101,29388100,30593518,39190857,49118958,40918242,32141054,24559072,18120708,12848926,8737477,8737476,12848924,18120703,24559067,32141049,40918234,257015840,40914846,32137121,24555647,18118180,18118179,24555646,32137120,38013095,29451047,22117322,22117321,24556229,18118599,12847646,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559398,24559403,25245978,18675577,17230477,17230479,18675787,25246283,32968375,25246267,24556330,24556331,32137930,24557836,24557838,24556739,23386718,23386719,18119467,12848168,8737011,5687959,5687958,8737006,12848157,18119443,24556989,18119148,18119147,24556982,29436627,22652627,22652629,30025693,38598336,40917933,48554157,38639390,38639389,32968035,32968036,41907375,49132045,40915674,32138065,24558693,24558692,32140630,40917884,51058779,58810771,58810770,50010218,39992223,31315396,31315397,39992226,40916308,40916305,51057640,61458010,59320066,48512959,268242296,31315521,37522363,30760349,30760347,39361254,32962870,25241374,25241375,32962878,40917518,42760579,33730673,33730672,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173037,23449144,30880056,39485683,255812026,268607632,52244928,52244929,58816498,68145451,268600110,44839880,47429817,268378290,58470886,47915579,255811984,58597217,47207018,37300525,37300526,32137860,32137859,37999332,37522176,28978243,28978244,37522178,39429876,49359522,40262019,31574936,31574937,31778927,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,32461262,32461263,41304371,47791727,42486130,256416184,36597694,46464094,57820112,258137081,85937475,260483029,111861048,98446920,84524886,70961356,58244771,46877788,36999415,28502014,21283828,21283822,21283821,28502009,28501908,21283736,270286618,15320437,10581693,10581694,15320440,15320350,15320351,21283862,28502041,36999435,46877808,58244788,70961378,61465200,59698926,48312051,38401330,29829098,22461760,22461759,29829097,38401329,48312050,59698923,72434485,86032037,86032047,74822764,62026004,50534239,40498963,40498964,38337911,29766897,29766896,30032872,22658243,16464698,16464697,11565923,11565922,11572129,9883677,6493837,4069036,2434824,1408085,1408086,2434826,4069040,6493847,9883696,11395397,7571424,4788370,4788369,7571423,11395395,16373899,22550314,29906442,29000128,21714940,21714939,15720166,10883460,9848683,6507319,4077779,4077778,6507312,9849142,6488771,6488773,9877014,10888377,9877634,6489230,6489232,9877641,9893207,9876044,6503203,4075075,4069480,2435126,1408251,1408252,2435129,4069483,267946707,14377550,15626805,15626804,14380617,9886407,6495876,4070396,2435667,1408555,1408556,2435672,2435635,2435634,4070352,2435682,2435681,4070410,6495905,9886447,10882929,7195647,7195646,5396879,3318607,1952268,1952269,3318609,5396881,8361339,7197949,7197950,7197962,7197963,10885614,15722253,14394000,14394001,11589685,7714638,4882738,4882737,7714635,254371231,3003228,4972201,4076145,4076144,6485402,4063878,4063879,254686279,14365501,16617276,11590955,11590954,9875998,7194510,7194509,10881631,14357717,9865463,9865464,267871087,4071564,4077964,4077965,4071192,4071193,6497167,6505456,9898470,9964400,6548818,6548819,9964402,11556219,11556220,16575159,14482591,14482592,14372345,14372344,15764849,14390941,14390942,20049076,20049075,14379853,9885695,6495357,4070070,267871049,9885699,9846807,6467262,4052161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164628, s2 = 2485795, dlinesl.size( ) = 2 s1 = 14164628, s2 = 2485795, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164628, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13716273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6796906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796906, s2 = 550829, int(edited[s2]) = 0 s1 = 6796906, s2 = 550829, d1 = 8, d2 = 17 Dl.O(d1) = 258627542 Dl.O(d2) = 2544852,1466135,829581,468086,263289,145832,145830,263284,468075,825088,1457269,1457277,2528683,3721968,2541512,2541511,2533030,1459681,1459682,2533034,4236635,2544781,2544779,2532420,1469933,1469934,2532486,2532488,4235738,5944994,5946774,6793800,4259677,2546544,2546545,4230293,2529346,2529345,3306620,3306619,4232841,2530786,1461641,1461642,2536494,2570220,4298931,4257437,2545216,1466336,829678,468134,263314,263312,466507,466508,826246,1459575,2532821,1462381,1462380,2537898,2545052,2545051,2545128,3703379,2218098,2218097,2537963,1462413,827720,467198,467195,468976,831485,737235,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770728,6770726,5380718,5380719,5587900,8599553,10327404,6795936,4275481,4275482,6816259,5588972,4284136,2561380,2561379,267879189,9084417,6815242,6815244,10350421,13205753,13281118,9065254,9065255,13281120,14987039,13618482,9325077,9325076,255276441,13321181,14968297,10300482,6777233,4248074,4248073,5584556,3464787,3464786,4245302,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129342,12088564,9784622,6432871,5588653,5588652,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,12081149,12081150,14032444,9647486,9647485,14032441,18714082,18714083,255652561,254914063,8536982,5534948,3420460,2019992,1155778,1155779,2019999,3420478,255585979,271311348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6796906, s2 = 550829, dlinesl.size( ) = 16 s1 = 1568372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3098195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659224, s2 = 9702612, int(edited[s2]) = 0 s1 = 11659224, s2 = 9702612, d1 = 7, d2 = 5 Dl.O(d1) = 42146321,52504466,64378258,77546541,65327308,53329586,42868242,33827167,26009472,19335534,13827020,255291391,26009471,26009475,256166411,33827173,42868248,53329592,53329591,65327315,78624090,259709809,121303430,125711251,111893604,111893603,125711250,111893612,111893591,111893590,261278996,107011053,107011052,111893594,111893593,111893601,107011057,107011056,121303435,135153185,148325578,142163840,128809107,128809108,260705646,107011055,92678617,78624091,78624092,92678620,107011059,121303438,111893607,97955857,84081916,70544790,57842764,46486582,257402685,70544791,84081917,97955859,111893610,97955865,97955866,111893608,111893612,97955861,97955862,111893611,125711255,125711257,111893614,97955863,97955864,111893615,125711258,139050285,139050286 Dl.O(d2) = 163627633,160597597,148325579,139050284,125711254,125711253,125711255,125711248,125711247,139050282,261064629,111893600,97955851,84081913,70544788,70544787,259264539,111893589,261064623,261821892,260705648,107011058,271588939,135153187,135153186,261617165,139050283,125711249,111893600,260241278,114911970,100861481,100861480,114911972,261064625,125711242,139050280,261821892,148325576,135153183,128809061,128809062,135153184,135153185,148325578,142163840,128809107,128809108,260705646,107011055,92678617,78624091,78624092,92678619,271588939,128809030,114911915,100861442,86881140,73269362,258824365,100861439,261239465,261064627,151752410,148325575,135153179,135153180,142163838,128809106,114911969,100861478,100861479,114911970,100861481,86881162,73269372,73269339,60524348,49123227,39195616,30598880,23180120,16915184,16915182,23180119,257012463,46408046,36546521,28078379,20905854,255003597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659224, s2 = 9702612, dlinesl.size( ) = 2 s1 = 11659224, s2 = 9702612, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659224, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6915771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6915771, s2 = 14862313, int(edited[s2]) = 0 s1 = 6915771, s2 = 14862313, d1 = 5, d2 = 1 Dl.O(d1) = 260485595,262138659,139051510,261617269,261225394,125712548,125712547,125712546,125712553,111895016,97957322,97957321,260485593,125712558,139051511,125712555,125712557,261617271,163628642,151753447,262624329,151753455,151753454,151753447,262624329,151753453,261225394,125712548,125712547,260049538,84083466,84083465,97957319,111895010,125712541,139051498,262138659,139051510,125712552,111895016,97957322,97957321,260485593,111895019,97957324,84083468,259264673,111895013,125712548,125712547,125712546,125712553,111895016,97957322,97957321,111895015,125712550,139051508,139051503,272577448,139051502 Dl.O(d2) = 139051505,151753452,163628643,174465158,184114300,192565545,199838296,205985912,211068135,215221731,218642980,221522493,223990571,226128920,227991072,229627023,231080535,232021169,230672443,229158756,227445155,225486226,264920446,217571430,213904863,209439640,203997606,197474004,262571890,180925773,170798135,159460212,147085852,133841932,119975529,105740857,91517186,77586135,64417162,256213294,33223879,25475857,18874400,18874399,22091185,15984151,15984153,22091191,29421816,28646782,22091136,15984116,15984114,15985472,15985475,16187616,11252158,11252156,16187607,12938285,12938282,10280414,6756621,6756624,10280405,14946144,10280394,9868032,6482301,4061987,2431037,2431038,4061990,2432116,1406747,1406745,2432094,4063990,6485587,6494196,6494195,9864252,6479619,4060384,2430173,1405715,1405713,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040672,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,14392168,9898385,9898387,14392170,20074722,267946830,20061342,26946474,30916391,23479324,23479325,30916393,254687738,24711572,21662338,21662339,28941133,254717876,28862086,22589607,16407133,11423559,11423560,7733435,4896003,4896004,4796981,4796980,7584012,11412410,11616302,7735602,4897626,4897627,7595582,7587532,4808471,2897976,2897977,1681567,956376,539054,539053,956367,1681539,2898027,4808583,4273846,4273844,2895286,2895287,4803747,7594115,11424323,16407897,11436826,11436825,11437262,11435866,11435865,16419675,16438339,11452897,11452898,16438340,22623632,29991740,38561950,48475346,59867011,72604980,86202526,100164852,114195173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6915771, s2 = 14862313, dlinesl.size( ) = 2 s1 = 6915771, s2 = 14862313, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6915771, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 8246198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8246198, s2 = 12792815, int(edited[s2]) = 0 s1 = 8246198, s2 = 12792815, d1 = 127, d2 = 108 Dl.O(d1) = 85597548,72010540,72010539,84286938,258111829,47879471,257501921,59274833,72010532,84085496,84446538,84446539,84085486,70548542,57846597,46490611,36624300,28150935,20972889,20972888,28150934,36624298,46490607,52702771,52702772,57846589,57846588,70548531,84085480,97959336 Dl.O(d2) = 135211951,121362375,107067012,259475426,65363358,53359889,42894169,33849538,33849537,42894167,42894134,33849515,33849514,42894131,53359829,65363262,78667299,78667300,92728935,107066709,121362136,121362198,135212000,135211954,121362141,260922603,121362392,121362368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8246198, s2 = 12792815, dlinesl.size( ) = 2 s1 = 8246198, s2 = 12792815, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8246198, Dl.E( ) = 130, 5.29e-05 seconds used appending s1 = 8287047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13508185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13508185, s2 = 3861902, int(edited[s2]) = 0 s1 = 13508185, s2 = 3861902, d1 = 0, d2 = 9 Dl.O(d1) = 70683404 Dl.O(d2) = 98131169,271759275,139274636,151981598,163850657,174668516,177422566,262787559,155185821,142542290,129165828,115234687,101157189,87159198,73540870,60793654,49393042,39464605,30860273,23429545,17152605,12056048,12056049,9254441,9254440,13522978,13525079,13525078,10549709,6958020,6958022,6954595,6954594,9252203,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,5198725,5411277,4369088,2617673,2617674,4369093,6953469,8106408,8106407,8114417,5198551,3171608,1856617,1856619,3169013,3171796,5198907,4365001,2615668,2615664,4364987,6946083,8103557,5192125,5192123,6056622,9247883,6533138,6533135,9939978,9239095,9239094,12052977,17149512,23427129,30858416,39463141,49391486,60792029,73539059,87157177,101154952,115232109,129162876,142538765,155181993,166873834,177419414,176700222,166064110,154315629,141663647,128314301,114437555,100412814,86455452,72859631,60122738,48727870,38807234,30224182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13508185, s2 = 3861902, dlinesl.size( ) = 2 s1 = 13508185, s2 = 3861902, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 13508185, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 3379416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9497748, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3102000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15249453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14991535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7826339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3380577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7677338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7677338, s2 = 6798939, int(edited[s2]) = 0 s1 = 7677338, s2 = 6798939, d1 = 7, d2 = 7 Dl.O(d1) = 272206945,259891120,258645698,38373269,255377012,16267189,16267187 Dl.O(d2) = 272206945,259891120,258645698,38373269,255377012,16267189,16267187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7677338, s2 = 6798939, dlinesl.size( ) = 2 s1 = 7677338, s2 = 6798939, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7677338, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 406505, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3380910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3380910, s2 = 14352395, int(edited[s2]) = 0 s1 = 3380910, s2 = 14352395, d1 = 19, d2 = 18 Dl.O(d1) = 112141249 Dl.O(d2) = 84282806,98178750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3380910, s2 = 14352395, dlinesl.size( ) = 8 s1 = 6947561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6947561, s2 = 16191592, int(edited[s2]) = 0 s1 = 6947561, s2 = 16191592, d1 = 60, d2 = 74 Dl.O(d1) = 260499634 Dl.O(d2) = 27036674,30755230 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3381895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6799214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799214, s2 = 7165961, int(edited[s2]) = 0 s1 = 6799214, s2 = 7165961, d1 = 20, d2 = 25 Dl.O(d1) = 258649019 Dl.O(d2) = 263478927,146213280,132979492,132979491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799214, s2 = 7165961, dlinesl.size( ) = 26 s1 = 7993175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2803030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2803030, s2 = 10341623, int(edited[s2]) = 0 s1 = 2803030, s2 = 10341623, d1 = 19, d2 = 23 Dl.O(d1) = 84358050,84358051,98266564,112246239,112246238,112246237,272095540,91179469,77261051,258540820,268140239,9080327,13298648 Dl.O(d2) = 267974897,4705471,4705472,7447504,11224273,16155567,22301107,29652870,38218955,257520176,39731461,42111258,33156803,257195671,256398092,27117745,268298634,31394148,267932290,17555756,18953559,20142102,14447918,11825533,7902998,5023692,5023691,5409726,3325570,3325571,5409732,7903317,7903316,11826017,256466355,256308794,260064197,128797581,142152727,154787206,166494022 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9026627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8609886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3305169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16007682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10224044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3385294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3385294, s2 = 6901594, int(edited[s2]) = 0 s1 = 3385294, s2 = 6901594, d1 = 20, d2 = 26 Dl.O(d1) = 112281740 Dl.O(d2) = 259905287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3385294, s2 = 6901594, dlinesl.size( ) = 2 s1 = 3385294, s2 = 6901594, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3385294, Dl.E( ) = 64, 2.22e-05 seconds used appending s1 = 7594845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8232009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8232009, s2 = 10358908, int(edited[s2]) = 0 s1 = 8232009, s2 = 10358908, d1 = 124, d2 = 143 Dl.O(d1) = 58122082,58122081,258653515 Dl.O(d2) = 273698853,269875634,855085,855086,1507975,1508094,855162,482971,271762,150653,150651,82853,45334,45333,82850,254084951,482951,855127,1508045,2608093,1509697,1509698,2612203,1508209,1508210,2612204,4359614,254724181,10513250,15240112,21206296,28430075,21286296,257429973,255339831,6573213,6573212,10002456,255339829,27185439,20262299,14537852,14537851,14537858,10002470,6573222,4117482,2462719,2462720,4117483,6573225,10002475,14537866,20262324,27185517,257009116,22760935,16548682,16548684,22760929,258167513,52042859,41727894,32807608,25105473,25105472,29171145,21861441,21466956,15465829,11785749,11785750,16852324,14075287,9680705,9680706,14075290,19638622,24412039,19638842,19638843,18087578,18087580,24518774,32093528,31959975,31959974,40698471,34248315,26371394,19638549,14075255,14075257,19638555,26371410,34162988,30253483,30253481,38779504,30194968,22804162,22804163,30194970,38779508,34599255,26612150,19804089,14185546,9751711,9751712,14185550,19804099,25370046,18785982,13380359,13380360,18785985,18003604,12759384,8671659,8671661,12759388,18003609,24412141,24412175,22099975,22099974,19638942,18087630,18087631,24518836,32093601,33640554,25837544,25837545,33640556,42669752,41508265,32624972,32624971,37764442,37764441,29204202,21891098,15813770,10958748,10958749,15813775,21891107,29204218,29203483,21890591,15813713,10958722,7253492,4574319,2751937,1595258,1595257,2751931,4574304,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30587089,30587090,39184827,39185034,39185033,49113212,39184946,30587246,29202071,21889377,15812597,15812598,21889378,23167402,23168059,16904890,255520433,23168722,23168723,30586960,30587855,30587182,23168942,16905574,11830708,7906264,5025607,4574404,2751972,2751971,4574401,7253648,10958999,11830778,10958959,7253628,4574391,4574390,7253326,7253743,10959170,7253769,4574463,2752004,2752005,4574467,7253779,10959244,10959200,10959199,11830428,11830423,7906102,7906103,11830425,16905097,23168316,16906175,16906174,21890569,23168077,23168076,21889609,15812847,11830674,7906242,5025600,5025603,7906252,7035780,7035779,10654893,15414103,10958566,7253405,7253403,10958560,15813420,15814477,15814476,15813329,10958504,10958505,15813333,15414283,10654975,10654979,10959164,10958469,10958470,15813279,13723592,13723591,15414123,12365410,12365411,13486766,254940326,33287936,25527596,25527597,28641302,28641380,28641381,28641077,21400418,15413997,10654845,10654844,15413991,21400408,23169608,16906179,15813101,15813103,21890207,25672247,256660745,38793636,255940087,16598128,11576075,11576074,16598126,22817209,30209041,37157353,30049670,30049669,33205502,33205503,42165695,40393550,31701103,24193084,17823825,17823824,24193077,31701087,40393515,42435813,33442943,30897259,30049733,30049734,32778892,32778886,32778887,33442955,32778272,25080881,25080878,25672236,25672238,29331287,37899884,38623422,46689464,38623470,30049714,30049713,37899947,30208992,22817179,16598105,16598104,22817174,19517643,13971298,9593973,9593974,13971302,19517654,23463971,17184667,12083173,12083172,17184662,23463957,30897314,39504715,31121204,31121203,32778206,32778207,41695038,32779339,32779338,41695745,41694871,41694870,37899984,37899985,47821772,47821771,52007422,49435608,41694793,41694794,46689453,46689454,41694666,32777737,32777736,257171617,32779219,25081874,25081873,32779217,41695680,47198456,37290147,28756230,21599159,15571446,15571445,18537741,18537740,25081370,18538224,13172179,13172178,18538221,18538334,13172246,8979120,8979122,8979037,8979036,10711805,10711804,15490264,13171966,13171965,13171973,13171821,8978893,5862038,5862036,8978885,13171808,18537579,13171837,8978901,8978904,13171841,10246335,6732288,4217930,2521822,2521823,4217936,6732303,10246367,14895527,20782893,20782565,14895290,14895291,20782571,17487408,12329930,12329929,17487406,22125705,22125704,29460063,27935717,20782737,20782738,14895706,14895707,20783184,27936173,27935114,20782265,16160813,16160814,18538180,25081946,27935327,27935385,36379780,32549926,32549923,38836132,40452399,41695854,32979037,25256155,18685268,13292273,9074754,5934557,5934556,9074767,13292295,18685310,23322149,18685332,13292306,13292309,9074834,5934595,3710739,254911003,18685455,255895570,22223206,16090290,16090291,22223208,29569840,33052603,33052604,32721681,268287655,13144611,8958808,8958807,13144609,18501444,18501573,13144708,8958878,8958877,13144707,18501569,25034983,18501727,18501726,18501593,18501592,18501451,13144612,13144613,13144887,8959010,5847737,3649299,3649298,5847733,8959004,13144878,18501487,13144799,8958942,8958939,13144797,18501612,13144745,13144743,8958993,8958991,13144834,13144998,8959091,8959092,13145000,18501929,18501659,18501660,13144825,13144823,255083236,18501543,18501542,25034950,18501677,13144809,268137097,18501622,18501621,25035035,32721848,268634810,40923618,255898730,18124091,256613777,32721738,256068448,18502075,18502074,23648616,31136096,32721985,32721864,25035051,18501631,18501630,25035048,32721861,41628101,40016775,31337882,25035493,18502066,18502065,25035491,25035004,18501587,18501589,21332171,21332170,16786409,11737001,7836099,4974096 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3385435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3385435, s2 = 7043487, int(edited[s2]) = 0 s1 = 3385435, s2 = 7043487, d1 = 3, d2 = 16 Dl.O(d1) = 112283815 Dl.O(d2) = 224065422,221606219,218742820,215351111,211246487,264716651,264243396,221987235,264525884,224065422,221606219,218742820,215351111,211246487,211246489,215351114,218742822,218742814,215351106,265357209,224065455,221606246,221606245,219168701,219168704,221987235,264525884,224065422,221606219,218742820,215351111,211246487,264716651,218742818,221606230,224065436,226198365,226198368,224407684,221987232,219168700,215830341,215830342,219168704,221987235,264525884,224065422,221606219,218742820,215351111,211246487,206222772,263842699,192951809,200147116,206222778,211246502,264951621,265216658,221606240,221606239,224065446,226198364,226198365,264525882,221606214,221606215,218742831,218742832,221606243,218742836,215351125,215351126,211794203,211794204,215830342,219168704,221987235,264525884,226198353,224065463,221606251,265216658,224065448,226198368,224407684,221987232,219168700,263928626,221606214,221606215,221606210,221606211,224065418,224065464,221606251,265216658,221606240,218742829,215351120,211246496,206222775,206222774,211246493,264779982,264779990,264779988,224065436,226198365,226198368,224407684,221987232,219168700,263928626,221606214,221606215,218742831,218742832,221606243,218742836,215351125,215351126,211794203,206853654,261763480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3385435, s2 = 7043487, dlinesl.size( ) = 8 s1 = 8232085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6746131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3175075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9665177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9665177, s2 = 8098488, int(edited[s2]) = 0 s1 = 9665177, s2 = 8098488, d1 = 10, d2 = 8 Dl.O(d1) = 264604662,184584159,174981912,271954224 Dl.O(d2) = 257738422,28405686,21184519,21184518,28405684,255632682,41422762,41422763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9665177, s2 = 8098488, dlinesl.size( ) = 8 s1 = 3109576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3109576, s2 = 8366311, int(edited[s2]) = 0 s1 = 3109576, s2 = 8366311, d1 = 1, d2 = 11 Dl.O(d1) = 98331411 Dl.O(d2) = 101981617,97958998,97958997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3109576, s2 = 8366311, dlinesl.size( ) = 2 s1 = 3109576, s2 = 8366311, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3109576, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8288129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8288129, s2 = 11296410, int(edited[s2]) = 0 s1 = 8288129, s2 = 11296410, d1 = 71, d2 = 89 Dl.O(d1) = 259282733,70864745 Dl.O(d2) = 257293328,259139654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8288129, s2 = 11296410, dlinesl.size( ) = 52 s1 = 3109862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3110115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3387565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9203514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9203514, s2 = 8273150, int(edited[s2]) = 0 s1 = 9203514, s2 = 8273150, d1 = 131, d2 = 106 Dl.O(d1) = 34109816,26245784,26245783,22308389,22308388,24281064,17900534,12680427,12680426,17900532,18121063,12849150,8737602,8737603,12849151,18121066,24559566,32141653,40918734,41220773,32397293,30127825,22745107,18121059,255612679,32141641,40918748,40918727,40918726,48619107,38704539,30127796,22745106,16536884,16536883,22745105,22745083,16536872,11525977,11525978,16536874,22745087,18121062,18121061,24559560,30127818,38704571,48619136,51059351,53715138,43202765,43202766,40918730,32141628,24559551,24559550,32141625,38704601,30127844,22745122,16536892,11525985,7667789,4851813,254543527,11525980,16536880,22745100,30127819,38704572,40320075,50346229,40918743,40918737,40918738,51059361,48619128,38704553,30127805,22745090,22745092,30127809,36929250,36929255,46807599,58174977,70889182,84446366,260506201,98356001,259596148,70889198,58174990,58174989,70889197,84446380,98356002,107635518 Dl.O(d2) = 53139466,53139465,65124634,63658204,51862822,41572684,32677038,24999389,24999388,32677036,38503492,38503493,48409343,38941015,30354793,22952979,16716344,11674562,11674563,16716346,22952983,30354800,38941023,257576979,60253477,48860595,48860594,38941011,30354791,30354783,30354784,38941004,48860585,48860580,48860582,60253462,72989055,86586355,88430520,80664563,67189807,54870342,44069916,34753250,34753251,44069918,37177534,37177532,47070968,43039552,33982098,26142358,19445265,19445264,26142357,22952971,16716342,14254136,14254137,19898034,257896225,66921865,64263866,61506257,61506258,74282883,84091877,70555411,64263868,52408546,42373471,257193277,256890128,61389109,49908922,39888475,39888474,49908921,257470050,42373470,42373469,47121000,255421502,255855314,42064807,257782845,74040234,75632269,75632270,89393600,103487841,259486813,61260452,61260451,61260450,49781600,39762412,31084234,31084207,31084208,39762376,31084232,23600267,23600266,31084230,39762407,49781593,49781571,39762394,39762395,49781573,49781591,49781596,49781550,39762382,31084211,23600253,268434907,257445325,47090084,58468078,58844982,71571876,59071987,49781545,49781546,49781544,49781543,47459655,37552164,29006527,29006526,37552160,42636239,256663906,65066977,78345737,65066926,65066927,58369223,46998888,46998889,46998925,37113196,28603965,21370288,21370289,28603966,37113197,46998928,58369271,71085747,71085750 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14566027, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3640294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3640294, s2 = 4905581, int(edited[s2]) = 0 s1 = 3640294, s2 = 4905581, d1 = 1, d2 = 50 Dl.O(d1) = 126201302,112340831,98358281,98358280,112340830,126201301,272525355,272828879 Dl.O(d2) = 261859907,167723631,178179296,178179297,187405371,195433374,195433375,202299275,208071514,212831005,216722338,219947731,222669197,265609567,228804997,265903607,265910688,227000701,265901127,265760412,225103018,224966286,265450458,219896350,219896349,216664097,212765517,207998390,202217849,195342953,187302661,263638129,202217847,195342954,187302663,178064856,167600867,262398308,143449550,130117796,130117797,143449552,143449554,130117798,116206687,102145505,88154601,88154600,74539619,61755554,50275254,40253893,40253892,50275252,269879463,74539616,256818538,50275249,61755549,74539614,258632680,258632678,259259278,116206685,130117795,143449549,155989928,167600866,178064852,178064853,187302659,187302660,195342951,202217843,207998384,207998379,207998378,207998382,212765512,212765516,216664094,219896347,222624161,224846705,224846706,265526698,219742240,216489517,216489516,219742238,216489515,265178540,186948622,177667540,167168112,167168109,155535213,142985291,129656568,129656566,129656567,261821281,155535210,155535211,262801457,177667545,167168115,155535217,261278291,115758642,259492539,87738177,260107915,129656569,261821283,167168113,273382119,264276927,201952161,207771410,201952162,195034091,186948625,177667547,167168117,262329599,142985294,142985293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3640294, s2 = 4905581, dlinesl.size( ) = 24 s1 = 8445033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8445033, s2 = 7899737, int(edited[s2]) = 0 s1 = 8445033, s2 = 7899737, d1 = 22, d2 = 14 Dl.O(d1) = 259179332,71165155 Dl.O(d2) = 71165153,257929612,47066560,37173944,268342744,15423446,15423445,21412399,28655856,37173950,47066569,58442895,71165165,84735205,90197408,257564780,73263068,60517512,60517513,73263069,61246487,49767605,268673367,23587725,23587726,31071241,26609590,26609591,19801939,14183960,14183922,9750631,9750630,9750823,6411367,4022151,2409982,1394434,792968,792967,1394430,2409975,2409995,2409996,4022170,6411403,9750891,14184307,16910127,11834320,7908975,5027643,3043353,3043354,5027645,7908979,11834325,16910132,16910180,11834354,7908991,5027651,5027653,254814453,16910187,21548143,21548144,28817080,23620638,23620636,19802106,17306052,17306053,19538673,21110326,15164356,10457918,10457917,15164354,17306006,23620541,28320678,36816714,31105799,31105796,34596625,34596626,37816361,34597022,29492363,22153319,22153320,29492366,38056453,38056439,29492347,29492348,28320649,23620554,23620555,30597135,23178068,23178069,30597116,31105842,23620602,23620601,31105838,39785058,33182947,25437834,18841695,16088587,16088584,22220789,22220790,29566864,38132738,48046024,42142476,33182919,25437818,25437817,25437830,22220757,22220756,29566804,33182932,25437826,25437825,33182930,42142493,52501004,59360741,47969738,267899986,47653503,267836254,30592966,30592967,34596714,34596715,34597366,43867797,254814382,28736867,28736866,37268899,47174784,53127349,53127348,256339644,36816652,42676546,33647046,33647045,42676544,42676530,42676529,47174786,42142491,33182928,25437823,18841689,13424010,13424011,18841691,25437829,33182937,42142373,33182844,255520906,18841647,13423988,9178081,9178080,255260523,25437747,33182837,42142393,37419450,37419451,47327764,58716599,65112710,53127397,53127396,65112708,58716592,58716591,70511472,70511475,78395202,92431913,79342164,65977840,65977838,71221397,71221396,78395212,72284783,59550526,59550525,53911034,53911033,65977861,67685548,55345890,44499491,44499490,53911010,46897706,46897705,53910949,43386742,43386743,53910951,44499498,35121949,35121948,44499495,49738415,46807031,46807033,47917567,58264485,58264486,57810221,47667301,37745421,37745420,47667299,59067108,71807711,79342143,79342142,255824234,65106220,53119388,42667277,33637538,25834624,25834625,33637540,42667280,53119390,49738533,49738534,59255283,59255285,71991889,81151325,71991905,61578519,61578522,61217020,49738418,49738417,61217017,73266900,86878793,78389741,65106226,53119398,254814596,33637541,42667287,53119397,255136216,73996097,73996096,73266797,60521770,49120552,39192685,39192688,48366584,48366576,48366577,39715246,39715247,49734085,49738437,40616315,39719811,31042150,31042149,39719808,49120787,39192940,30595717,23176808,16912318,11835990,11835989,16912314,23176803,17249778,13192177,13192178,18564572,25115176,30595674,23176778,23176780,24372214,17974489,12737944,12737945,17974492,24372223,30596877,29907781,29907782,38465093,48366558,254814650,23174524,23174529,17246639,12131011,8161853,8161852,12131008,16912349,23176859,17974520,12737963,12737962,17249742,17249741,23559499,30595739,39192964,39719602,39191806,267768608,16911327,11835168,7909594,7909592,267794140,8161821,8161820,12130959,17249694,23559433,31041963,38515969,29951422,22587685,22587684,29951419,23559526,17249755,17249754,23559523,31042074,36438413,40616344,31903087,31903088,40616346,48045517,38314211,38314210,48224057,48045521,40616347,31903091,24372289,24372290,31903093,38132080,39193135,39193134,31041970,31041971,31903030,24372238,17974497,17974498,24372241,254128936,23177754,16913045,11836501,7910549,5028865,3044296,3044295,5028862,7910540,7910558,7910557,11836512,16913062,16912999,16912997,254087804,31041944,31041945,38132024,39193920,30596805,23177779,16913070,16913071,23177782,30596806,38132216,48045533,48045368,38131968,254072366,16088168,16088167,22220203,29566126,254102700,23172076,16913037,16913036,23177736,30596753,38305194,30596693,30594805,23175940,23175939,30594802,38132153,38132154,39190733,39193862,39192101,30594797,23175937,23175938,30594799,39192102,47004825,47994250,47994249,38132156,29566357,22220407,16088324,11173986,7413606,4684587,4684586,7413603,11173980,267768604,16913057,23177767,30596789,25652269,267836252,9302697,9302696,13586129,19033555,267836270,42411715,52813058,48045551,38132250,38132248,39728844,46861309,36982782,36982781,36982771,36982772,30590986,23172428,23172426,26206673,19496676,19496677,26206674,31798654,24284584,24284585,254375574,48221025,42057833,33108600,25373299,25373298,22261463,16121490,16121488,22261458,29611960,254375570,43215575,34127805,34127804,39192004,30594706,23175876,16911519,16911518,23175871,30594702,25652216,25652217,25652222,33420689,39191627,30594270,30594269,25834703,255136166,9381618,13698225,13698224,13698235,13698234,19181707,19181955,13698385,9381687,9381691,13698394,19181972,25834971,19183277,13699463,9382434,6146618,6146617,9382430,13699460,13698367,9381675,9381676,13698370,19181823,25834849,25834895,33637826,33637561,33637560,25836124,25834983,19181911,19181910,25834980,25835144,19182024,13698425,9381712,6146172,6146171,9381709,13698421,16726728,16726727,19183135,19183136,25835667,25835665,25835589,19182427,19182425,25835583,255283287,9382048,6146378,3846061,3846062,6146382,9381873,6146328,3846036,2304558,1337343,1337342,2304553,2304565,3846052,3846180,2304636,1337379,763907,434545,245409,245407,434542,763897,1337362,2304609,2304593,2304591,3846108,6146475,9382208,255283315,19182651,13698951,255283227,13698470,19182094,19182529,19182822,19182823,25835359,19182474,13698773,13698772,13698765,13698764,19182085,19182084,19182080,13699382,13698455,9381735,9381734,13698453,19182071,19182829,13699107,13699106,19182253,19182787,13699076,13699075,13698528,9381768,6146204,6146203,9381764,13698519,255689657,19182701,19182703,25835886,33638915,42668351,53119982,65106344,65106352,57702347,46352961,38408022,29835849,22468816,22468815,29835847,28032385,20864616,20864617,28032389,36495104,28032507,20864699,20864700,28032514,36495256,46353058,46353060,46353224,46352869,36494910,36494908,30853409,23422731,17145673,17145672,12049904,8101189,8101190,12049910,14962494,14962496,20864454,20864486,28032189,20973596,15063069,15063070,20864629,14962584,254706347,4241824,2536160,1461449,1461450,2536166,4241833,6768261,10295104,14962658,20864538,14962540,14962539,20864530,20864560,20864561,25836837,25836838,28151832,20973628,15063087,15063086,20864434,28032116,28032198,28032328,28032329,20864750,20864752,28032583,28151690,28151689,20973558,20973557,15063044,10387601,6845926,6845925,10387598,15063037,20973561,28032546,36495290,36495292,44796973,256556402,36495136,28032408,28032407,23285651,23285652,30701487,36495275,36625153,268837059,27247837,20315736,255761163,35372244,44797000,55704378,57702290,46352988,36625122,28151695,28151698,28032378,28032379,35372224,28032251,28032248,28152002,36625446,36494989,36494990,36625413,28151973 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7853634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7853634, s2 = 7206031, int(edited[s2]) = 0 s1 = 7853634, s2 = 7206031, d1 = 18, d2 = 15 Dl.O(d1) = 254945162,4841826,2917726,2917727,4505691,2707642,2707646,2708322,2708327,2708585,2708586,2263120,2263121,2263093,2263097,2261215,2261218,2525104,1455221,823950,465304,465301,823936,1455184,2525025,4222934,3575064,3575061,5741477,8813492,11500646,11500645,16504607,22708624,30090227,257246510,255387645,21211904,21211903,28436626,268914071,84451578,98361182 Dl.O(d2) = 263984207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7853634, s2 = 7206031, dlinesl.size( ) = 20 s1 = 14165254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165254, s2 = 8746701, int(edited[s2]) = 0 s1 = 14165254, s2 = 8746701, d1 = 2, d2 = 9 Dl.O(d1) = 47695524 Dl.O(d2) = 206259634,211280019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165254, s2 = 8746701, dlinesl.size( ) = 2 s1 = 14165254, s2 = 8746701, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165254, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 6886832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6886832, s2 = 15999082, int(edited[s2]) = 0 s1 = 6886832, s2 = 15999082, d1 = 59, d2 = 66 Dl.O(d1) = 259670150 Dl.O(d2) = 6414485,254963533,19812318,26622645,34611556,34611557,28433549,21209435,15242871,15242872,21209438,28433556,36864583,46319235,37840667,29274149,28978074,23676618,17356582,15198865,10482976,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499832,17516448,17516280,17516277,21810018,21810015,23859685,23859683,25960795,21154327,21154326,17516346,17516345,268378227,36864276,29339310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6886832, s2 = 15999082, dlinesl.size( ) = 2 s1 = 6886832, s2 = 15999082, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6886832, Dl.E( ) = 96, 3.19e-05 seconds used appending s1 = 8342326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8342326, s2 = 3603903, int(edited[s2]) = 0 s1 = 8342326, s2 = 3603903, d1 = 32, d2 = 5 Dl.O(d1) = 258035872,98411783,98411784 Dl.O(d2) = 123554073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8342326, s2 = 3603903, dlinesl.size( ) = 34 s1 = 10349833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349833, s2 = 8299798, int(edited[s2]) = 0 s1 = 10349833, s2 = 8299798, d1 = 99, d2 = 100 Dl.O(d1) = 254457344,41471023,41173015,41173016,51358926,53919108,43393968,37548437,29002608,29002609,25487251,24364746,17969099,17969098,24364742,31892784,40601671,50651627,62160652,62160653,52555792,52555791,44808773,35384300,35384301,41173040,32357367,24741115,18268066,12964394,12964393,256080891,41173023,256689120,63231906,51518806,41301309,41301310,40994015,32210283,24618940,24618941,32210285,40994018,49399335,256507302,53110225,53110227,63390951,59152079,47753511,47753510,53269030,42816053,42816052,40994022,40994020,37831083,37831086,47753531,37831052,29265257,29265256,37831047,47753441,47753442,52398763,42054749,33105562,33105563,37831056,47753539,47307554,47307555,39893758,39893757,47307389,37398095,29478917,22141604,22141603,29478913,38042036,46445146,257681539,40414380,256042749,24215428,24215431,24215430,31722557,40414394,50448713,61940044,74476147,70501264,63212980,63212977,61940058,257913208,71911172,59173363,47774559,47774560,59173369,71911178,70501289,57800465,46445135,46445137,57800470,70501292,61693646,61693648,61471787,53269124,53269125,59585611,50211947,50211949,50211961,52484528,48757885,38837980,37401708,28860325,21586616,21586615,28860138,28860137,35324846,44751106,35324843,27200805,27200804,22654452,16461986,16461985,21954231,29278432,37845557,37110909,37110911,44751134,35325203,27201101,20274098,14546459,14546460,20274100,27201105,35325207,44751522,55659818,256571648,42437722,40809339,32049149,24483783,21238872,15270822,10537681,10537680,270963744,70926511,84490813,98412470 Dl.O(d2) = 268062046,57642560,254480240,47752734,37830344,29264641,29264642,37830345,47752738,58627058,256056498,36993649,255602810,38256680,256401168,72286889,258132646,262466355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349833, s2 = 8299798, dlinesl.size( ) = 72 s1 = 11659724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659724, s2 = 14162517, int(edited[s2]) = 0 s1 = 11659724, s2 = 14162517, d1 = 2, d2 = 1 Dl.O(d1) = 10555183,8114989,8114988,12067999,255472133,11304829,11304830,10697298,10697296,15470362,12064581,12064580,8112454,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938 Dl.O(d2) = 260508519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659724, s2 = 14162517, dlinesl.size( ) = 2 s1 = 11659724, s2 = 14162517, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659724, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8006711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8006711, s2 = 4057493, int(edited[s2]) = 0 s1 = 8006711, s2 = 4057493, d1 = 55, d2 = 35 Dl.O(d1) = 6511089,6511090,9906667,14403363,20089852,26978329,21409372,15420970,15420969,15420971,13915344,13915343,254898094,33982773,43040255,41373774,32524608,32524607,41373772,51598823,47060735,37169075,28651880,28651881,37169078,36931713,36931714,46810032,58177392,52665049,52665048,52665052,58177391,58177390,70891572,74248164,74248165,74248184,61469846,258256047,77748612,64565799,52665046,52665047,64565800,70891570,70891569,84448585,84727962,84499388,70935181,258661443,259907425,126273136 Dl.O(d2) = 150682119,261291104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6886807, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15566730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9422371, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10136629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9493867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9676256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3393255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9481356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3117228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8675698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8343289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3394790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657654, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6843640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659176, s2 = 14165497, int(edited[s2]) = 0 s1 = 11659176, s2 = 14165497, d1 = 0, d2 = 0 Dl.O(d1) = 17423010,23748450,29330022,21999616,15900058,11022658,11022659,15900050,21999605,21999480,21999479,23148706,23148704,23753922,23279366,17020720,11936336,7988388,5084330,5084329,7988382,11936321,15077585,10399723,8145210,5217828,5217827,3289111,1934231,1104824,1104825,1934236,3289122,5351722,7987518,8145891,8145890,11935134,11935135,17019077,12113670,12113671,8295664,8145903,5218275,3183191,3183192,5218277,8145621,8145622,12114654,16023619,16023620,255741379,20068142,23659710,23659709,23279353,17342919,12216459,12216458,17342917,23659708,17342921,12216461,12216460,12216449,12216448,12216450,15717151,15717153,21776516,29074531,37625499,47532061,58913284,71633862,85198612,85198609,85198610,99121145,113111439,99121140,99121141,113111441,113111442,126970188,126970189,140325397,153024233,153024234,153024238,164862651,175619109,185155780,193475247,200607133,197855368,197855367,204322599,197855369,190267466,181477772,171464908,160250610,148002411,134881996,262009881,134881995,134881997,126789635,260542358,92507843,78468107,78468108,65184136,53199198,42750388,33721241,25914473,25914474,256557138,36704597,32081362,32081361,33721203,37419617,28878137,21602929,15575278,10774036,10774037,15575280,21602931,28878144,37419724,37419378,33721235,33721234,30591470,23172910,23172909,30591466,33721258,255693877,13756763,13756761,19252426,25914476,33721251,28878121,28878122,37419530,47327681,58716531,50988244,49153139,47327950,37419714,28878132,28878133,37419716,33647414,25843751,21602687,15575133,15575134,21602689,28877825,21602926,15575276,10774033,7118795,7118796,10774035,13704765,19189506,25843753,33647418,37419325,37419326,33647420,255380466,255690341,256470303,23205919,16935372,16935371,23205916,30628594,33204872,25457635,18858325,13436298,13436301,18126870,18126869,19811336,26621403,34610141,36530282,36530283,32560765,32560764,37997153,37997152,32560781,24909496,24909497,22251958,16113768,11193014,7426797,7426796,11193012,14190817,14190818,19811508,25831449,19811504,19811503,26621589,268812531,54623884,268812228,41466314,32589454,32589455,37787723,30856259,28449604,28449605,29637791,22286035,22286030,25543429,18930566,13495490,13495489,18930564,25543428,33305259,254599760,47211003,37304414,28771113,28771112,21971737,21971738,29298458,37867605,47792028,52222858,52222857,61679069,50195611,50195610,61661872,61661871,74446261,74816895,62020124,254406578,33378351,25613206,19000044,19000043,25613204,33378349,42367180,39429229,30825065,30825064,35376452,27251767,27251768,35376466,42368089,42368091,52767415,64681952,59533748,59533749,71794446,255574096,37730186,29169867,29169866,37730184,47652123,59053243,61787883,61787884,74450543,74450544,72336415,61666746,61666745,74450541,74460603,71321383,61663749,50177895,40152669,31468780,23973211,23973210,31468772,40152655,36492441,29735744,22377937,22377935,29735739,38303724,48213940,59601379,48332989,48332990,42367736,42367737,50182142,50182141,49917446,49917448,40159985,40159984,49267055,40153582,33385142,32747451,31484175,31484176,40169190,50193190,50177195,40153188,40153187,33378345,33378346,33378350,42367182,52766772,61226400,59213241,47814816,37893044,37893043,47814813,47814824,37893047,37893046,46615440,36727700,28233826,28233825,36727697,46615435,57991376,57991071,46614948,46614947,57991068,70708078,60666706,49266240,49266241,39429236,30825071,23397374,17125352,17125351,23397372,29850976,29850979,31484421,31484419,36904781,28407460,28407461,36904783,37795242,256121198,15832676,21915762,29232872,22378181,16221882,16221883,22378183,29736053,22378641,22378289,22378287,29233345,29736177,29851083,29851084,37794928,29233053,21915912,15832780,10971993,10971994,15832783,21915915,29233054,22485492,19454761,13922276,254467458,3925870,2350289,1361530,776004,776005,1361537,2350304,3925847,6270184,9555748,13922191,19454665,25832314,19218940,13728185,9659703,6352150,6352148,9659695,13773743,9442920,9442919,13773738,14099811,14099814,19605585,14099801,14099800,19669480,26036106,26036107,25060064,18521458,18521457,13738182,9411836,254301468,267760482,24101680,17743169,12554381,12554382,8511916,8511914,12554396,17743192,17745275,17720629,12536902,8498541,8498544,12536914,16579538,12561238,8516627,8516626,12561233,17752834,254608080,28231345,21034257,21034256,23711025,23748354,254605224,32836255,254608122,29526502,22184282,16057399,254138712,18577949,24134000,24133999,25029552,25029551,254190212,10410580,6862456,6862459,10410589,15094516,17388538,17388537,16796896,11744506,7841210,254250496,16796898,17739547,12551700,8510309,5510451,5510454,8510323,7394706,7394707,7394881,4671682,4671685,7394895,11149272,12047695,17142483,23418691,23418803,17142599,17142602,12554856,8512187,8512189,12554864,8539916,8499819,8499822,8546587,8499849,8499851,12538592,12551820,17739711,24097262,17847462,13459497,13459498,17740244,17740245,12555306,8512455,5511586,5511587,8512456,8494884,5496121,5496125,8494867,12533251,17716681,24073117,24194396,17825172,12620819,12620818,17740344,12552294,10746621,10746620,15538840,21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782,73270065,60525081,49123969,39196375,39196374,48951060,39028823,30439359,30439358,39028820,48951055,60347398,73086629,86690409,86881764,86881765,100862030,114912501,114708494,100663015,100663016,100862041,86881786,79089761,257043040,60525080,60525079,73270062,86881777,99600694,269388446,59329302,47937621,47937620,59329300,72063568,85650793,85452249,85452250,71984955,71984956,59247759,59247760,59590273,268433584,47851189,37931330,37931329,37610120,37610119,40892793,51030703,49298594,49127206,39199846,30863054,30863055,36844592,29365030,22034599,15933242,11056250,7331241,4631308,4631309,7331245,11056259,15933259,22034626,25357065,29365057,24658783,18199771,18199772,24658673,18199720,18199721,24658682,32259021,28874048,28874049,31099175,23615585,23615586,26233843,29365132,29365133,33090063,25357098,25357099,33090066,42038079,46798219,256586125,24658719,24658720,32259073,41053288,41053255,257137449,62860227,72892241,62860028,51210153,50483701,40447190,31752031,24240240,24240243,31752040,32259114,31490455,31490454,40175785,38842670,38842671,40447168,32623723,24956543,18439789,18439792,24956548,32623730,41053069,32258930,24658615,18199675,18199676,24658621,32258936,41053083,38479995,29920791,22561568,22561567,29920785,29919896,22560927,22560925,22863116,16636064,16636065,22863120,30258882,38842624,48762231,60156200,55693499,44786121,44786122,48382835,48382562,38479912,29920145,29920144,38479908,38479880,38479879,48382523,38479865,38479866,35361944,27238988,20308696,14574359,14574357,20308691,27238976,35361921,44786021,44786150,44785808,44785809,55693255,44785816,35361752,27238854,20308620,14574323,14574324,20308626,27238862,35361768,38480673,38480676,48383342,59766335,48762258,48762259,55693271,44786056,38270350,29704235,29704234,38270345,44785786,44785787,48382391,38480194,38480197,36735788,29920405,29920083,29920084,29920175,22561105,22561108,16381937,16381936,20308730,20308714,14574369,14574364,14574362,20308703,27239003,35361973,44786086,49029078,49029076,48383121,48382639,38481004,29920961,29920524,27238843,27238842,35361684,28851674,28851676,22561540,22561537,29920727,38480685,38480650,38480651,44785825,38480743,38480231,29920373,29920371,29921110,38270354,48179526,38480221,29920367,22561279,16382083,11401324,11401322,16382075,22561297,29920397,31259902,31259903,38480244,38479992,37535694,28990707,27239017,27239010,27239012,27239064,35362070,29920659,29920657,38480476,29920597,29920596,38480469,48383128,43935197,43935196,47439036,47439038,38481019,29920968,22561751,22561753,22561769,29920311,38480137,38480654,38480655,48383320,48383021,38480375,29920509,22561375,22561374,29920507,38480371,48383017,59766153,59766093,48382921,48382919,39934965,31259922,23774887,17445425,12297332,12297333,17445429,23774897,31259934,39934974,49952035,60225986,48829986,48829987,59766277,54678137,54678134,66934537,71557111,61429444,257574692,48830038,60226014,60432919,67707077,55367405,44521380,44521377,48831069,38909607,30322597,22921815,16687772,16687773,22921820,30322576,38909579,39100277,30504201,23089921,16835745,16835746,16835733,16835731,23089894,30504154,23133986,16873490,16873489,23133980,30552292,39150397,48832261,60227411,49080537,39150444,39150445,37391844,37391830,37391811,28851628,28851629,27191745,20267386,20267384,22921227 Dl.O(d2) = 17423010,23748450,29330022,21999616,15900058,11022658,11022659,15900050,21999605,21999480,21999479,23148706,23148704,23753922,23279366,17020720,11936336,7988388,5084330,5084329,7988382,11936321,15077585,10399723,8145210,5217828,5217827,3289111,1934231,1104824,1104825,1934236,3289122,5351722,7987518,8145891,8145890,11935134,11935135,17019077,12113670,12113671,8295664,8145903,5218275,3183191,3183192,5218277,8145621,8145622,12114654,16023619,16023620,255741379,20068142,23659710,23659709,23279353,17342919,12216459,12216458,17342917,23659708,17342921,12216461,12216460,12216449,12216448,12216450,15717151,15717153,21776516,29074531,37625499,47532061,58913284,71633862,85198612,85198609,85198610,99121145,113111439,99121140,99121141,113111441,113111442,126970188,126970189,140325397,153024233,153024234,153024238,164862651,175619109,185155780,193475247,200607133,197855368,197855367,204322599,197855369,190267466,181477772,171464908,160250610,148002411,134881996,262009881,134881995,134881997,126789635,260542358,92507843,78468107,78468108,65184136,53199198,42750388,33721241,25914473,25914474,256557138,36704597,32081362,32081361,33721203,37419617,28878137,21602929,15575278,10774036,10774037,15575280,21602931,28878144,37419724,37419378,33721235,33721234,30591470,23172910,23172909,30591466,33721258,255693877,13756763,13756761,19252426,25914476,33721251,28878121,28878122,37419530,47327681,58716531,50988244,49153139,47327950,37419714,28878132,28878133,37419716,33647414,25843751,21602687,15575133,15575134,21602689,28877825,21602926,15575276,10774033,7118795,7118796,10774035,13704765,19189506,25843753,33647418,37419325,37419326,33647420,255380466,255690341,256470303,23205919,16935372,16935371,23205916,30628594,33204872,25457635,18858325,13436298,13436301,18126870,18126869,19811336,26621403,34610141,36530282,36530283,32560765,32560764,37997153,37997152,32560781,24909496,24909497,22251958,16113768,11193014,7426797,7426796,11193012,14190817,14190818,19811508,25831449,19811504,19811503,26621589,268812531,54623884,268812228,41466314,32589454,32589455,37787723,30856259,28449604,28449605,29637791,22286035,22286030,25543429,18930566,13495490,13495489,18930564,25543428,33305259,254599760,47211003,37304414,28771113,28771112,21971737,21971738,29298458,37867605,47792028,52222858,52222857,61679069,50195611,50195610,61661872,61661871,74446261,74816895,62020124,254406578,33378351,25613206,19000044,19000043,25613204,33378349,42367180,39429229,30825065,30825064,35376452,27251767,27251768,35376466,42368089,42368091,52767415,64681952,59533748,59533749,71794446,255574096,37730186,29169867,29169866,37730184,47652123,59053243,61787883,61787884,74450543,74450544,72336415,61666746,61666745,74450541,74460603,71321383,61663749,50177895,40152669,31468780,23973211,23973210,31468772,40152655,36492441,29735744,22377937,22377935,29735739,38303724,48213940,59601379,48332989,48332990,42367736,42367737,50182142,50182141,49917446,49917448,40159985,40159984,49267055,40153582,33385142,32747451,31484175,31484176,40169190,50193190,50177195,40153188,40153187,33378345,33378346,33378350,42367182,52766772,61226400,59213241,47814816,37893044,37893043,47814813,47814824,37893047,37893046,46615440,36727700,28233826,28233825,36727697,46615435,57991376,57991071,46614948,46614947,57991068,70708078,60666706,49266240,49266241,39429236,30825071,23397374,17125352,17125351,23397372,29850976,29850979,31484421,31484419,36904781,28407460,28407461,36904783,37795242,256121198,15832676,21915762,29232872,22378181,16221882,16221883,22378183,29736053,22378641,22378289,22378287,29233345,29736177,29851083,29851084,37794928,29233053,21915912,15832780,10971993,10971994,15832783,21915915,29233054,22485492,19454761,13922276,254467458,3925870,2350289,1361530,776004,776005,1361537,2350304,3925847,6270184,9555748,13922191,19454665,25832314,19218940,13728185,9659703,6352150,6352148,9659695,13773743,9442920,9442919,13773738,14099811,14099814,19605585,14099801,14099800,19669480,26036106,26036107,25060064,18521458,18521457,13738182,9411836,254301468,267760482,24101680,17743169,12554381,12554382,8511916,8511914,12554396,17743192,17745275,17720629,12536902,8498541,8498544,12536914,16579538,12561238,8516627,8516626,12561233,17752834,254608080,28231345,21034257,21034256,23711025,23748354,254605224,32836255,254608122,29526502,22184282,16057399,254138712,18577949,24134000,24133999,25029552,25029551,254190212,10410580,6862456,6862459,10410589,15094516,17388538,17388537,16796896,11744506,7841210,254250496,16796898,17739547,12551700,8510309,5510451,5510454,8510323,7394706,7394707,7394881,4671682,4671685,7394895,11149272,12047695,17142483,23418691,23418803,17142599,17142602,12554856,8512187,8512189,12554864,8539916,8499819,8499822,8546587,8499849,8499851,12538592,12551820,17739711,24097262,17847462,13459497,13459498,17740244,17740245,12555306,8512455,5511586,5511587,8512456,8494884,5496121,5496125,8494867,12533251,17716681,24073117,24194396,17825172,12620819,12620818,17740344,12552294,10746621,10746620,15538840,21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782,73270065,60525081,49123969,39196375,39196374,48951060,39028823,30439359,30439358,39028820,48951055,60347398,73086629,86690409,86881764,86881765,100862030,114912501,114708494,100663015,100663016,100862041,86881786,79089761,257043040,60525080,60525079,73270062,86881777,99600694,269388446,59329302,47937621,47937620,59329300,72063568,85650793,85452249,85452250,71984955,71984956,59247759,59247760,59590273,268433584,47851189,37931330,37931329,37610120,37610119,40892793,51030703,49298594,49127206,39199846,30863054,30863055,36844592,29365030,22034599,15933242,11056250,7331241,4631308,4631309,7331245,11056259,15933259,22034626,25357065,29365057,24658783,18199771,18199772,24658673,18199720,18199721,24658682,32259021,28874048,28874049,31099175,23615585,23615586,26233843,29365132,29365133,33090063,25357098,25357099,33090066,42038079,46798219,256586125,24658719,24658720,32259073,41053288,41053255,257137449,62860227,72892241,62860028,51210153,50483701,40447190,31752031,24240240,24240243,31752040,32259114,31490455,31490454,40175785,38842670,38842671,40447168,32623723,24956543,18439789,18439792,24956548,32623730,41053069,32258930,24658615,18199675,18199676,24658621,32258936,41053083,38479995,29920791,22561568,22561567,29920785,29919896,22560927,22560925,22863116,16636064,16636065,22863120,30258882,38842624,48762231,60156200,55693499,44786121,44786122,48382835,48382562,38479912,29920145,29920144,38479908,38479880,38479879,48382523,38479865,38479866,35361944,27238988,20308696,14574359,14574357,20308691,27238976,35361921,44786021,44786150,44785808,44785809,55693255,44785816,35361752,27238854,20308620,14574323,14574324,20308626,27238862,35361768,38480673,38480676,48383342,59766335,48762258,48762259,55693271,44786056,38270350,29704235,29704234,38270345,44785786,44785787,48382391,38480194,38480197,36735788,29920405,29920083,29920084,29920175,22561105,22561108,16381937,16381936,20308730,20308714,14574369,14574364,14574362,20308703,27239003,35361973,44786086,49029078,49029076,48383121,48382639,38481004,29920961,29920524,27238843,27238842,35361684,28851674,28851676,22561540,22561537,29920727,38480685,38480650,38480651,44785825,38480743,38480231,29920373,29920371,29921110,38270354,48179526,38480221,29920367,22561279,16382083,11401324,11401322,16382075,22561297,29920397,31259902,31259903,38480244,38479992,37535694,28990707,27239017,27239010,27239012,27239064,35362070,29920659,29920657,38480476,29920597,29920596,38480469,48383128,43935197,43935196,47439036,47439038,38481019,29920968,22561751,22561753,22561769,29920311,38480137,38480654,38480655,48383320,48383021,38480375,29920509,22561375,22561374,29920507,38480371,48383017,59766153,59766093,48382921,48382919,39934965,31259922,23774887,17445425,12297332,12297333,17445429,23774897,31259934,39934974,49952035,60225986,48829986,48829987,59766277,54678137,54678134,66934537,71557111,61429444,257574692,48830038,60226014,60432919,67707077,55367405,44521380,44521377,48831069,38909607,30322597,22921815,16687772,16687773,22921820,30322576,38909579,39100277,30504201,23089921,16835745,16835746,16835733,16835731,23089894,30504154,23133986,16873490,16873489,23133980,30552292,39150397,48832261,60227411,49080537,39150444,39150445,37391844,37391830,37391811,28851628,28851629,27191745,20267386,20267384,22921227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659176, s2 = 14165497, dlinesl.size( ) = 2 s1 = 11659176, s2 = 14165497, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 11659176, Dl.E( ) = 2, 1.19e-05 seconds used appending s1 = 13532661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9465584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 377043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 377043, s2 = 8224668, int(edited[s2]) = 0 s1 = 377043, s2 = 8224668, d1 = 16, d2 = 23 Dl.O(d1) = 9464095,13801043,19302128,256598957,270996737,98562158,84638918,71075964,258052080,256322296,254500120,267764280,2646433,254333677 Dl.O(d2) = 39418372,30813158,29389014,22058347,15954173,15954172,22058346,29389012,37954174,47872587,53718945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 377043, s2 = 8224668, dlinesl.size( ) = 2 s1 = 377043, s2 = 8224668, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 377043, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 13648841, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14164558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164558, s2 = 14165950, int(edited[s2]) = 0 s1 = 14164558, s2 = 14165950, d1 = 17, d2 = 15 Dl.O(d1) = 47731073,37809000,29244609,29244608,37808998,47731069,59129783,58796932,58796931,71526122,58796968,47410097,37502666,37502668,28959986,28959985,37502959,47410452,47410089,37502655,28959789,28959790,28959706,21678085,21678083,28959699,37502540,37502604,37502605,28959983,256345727,47410440,58797364,257915328,37808962,29244583,21924842,21924843,29244589,37502984,37502981,47410054,37502737,28959831,28959833,37502741,28959967,21678234,15639080,268075311,7152103,7152102,255048327,10822172,10822174,15639007,21678110,28959749,37502609,47409831,47409832,58796668,58796692,58796691,58868594,71591216,71526399,61505292,61505293,74281941,85472420,71888091,71888090,63711695,51905147,41605439,41605440,51905149,63711698,76812688,74281938,74281937,87884245,101857308,268637098,116511865,115903286,115903284,101857307,268404456,113010420,99022571,269028628,85023974,71451879,58721407,58721406,71451877,85023972,98883381,98883379,84958282,84958281,97884382,84958277,84958278,88430105,74798130,74798131,88430107,85834984,72242990,59508414,59508415,72242991,85834986,85834997,72243006,72243005,258135466,103249415,103249416,98832283,98832284,258135462,72094229,72094228,72094243,72094244,85680924,260001930,59360704,47969688,47969690,59360708,258740671,84906607,71334608,58603103,47214175,37307837,28774029,28774027,37307831,47214163,58603087,71334589,60664855,49263511,39337027,30738326,23318261,23318262,30738327,39337029,257604279,73412861,270876405,155049964,262779483,186634057,273820284,186634056,186634055,194754870,194972052,186880112,261709362 Dl.O(d2) = 155447616,142865384,129546806,129546805,115660589,115660588,115660587,101619889,87653120,87653121,99624983,99624984,259365252,258740144,257506860,47965101,38051947,38051946,47965099,47874245,37955887,37955888,47874247,59269920,72005997,85592933,99540063,112987369,100772858,86792088,86792089,91688170,87013517,85072356,71500349,71500348,85072355,73397983,258110806,72232368,59496379,59496378,72232366,66864757,66864756,80294216,90679978,76811359,63710023,51903332,50892671,41603472,41603471,51903323,63710006,51903313,41603467,32700633,32700632,41603465,41603428,41603419,32700576,32700574,25017219,18487404,18487402,25017215,20019501,14338402,254084036,4054373,4054372,6470093,9850399,268172755,34981650,44359037,254694460,55445688,55445687,49901120,39879947,39879948,40274935,31589293,31589294,254420040,30237440,31641010,24134004,17770258,267846866,8528980,12575492,254611934,28994785,31641009,25427000,254682202,31641007,24134002,20817923,14920970,14920969,20817921,15668088,15668089,21710310,22726989,16521703,11514353,11514354,254220918,2920288,1693983,1693982,2920285,4846205,7659461,10783681,7125163,4486024,2695252,1561450,254120855,500903,887748,1561446,2695245,4486004,7125115,10783599,15588305,11913545,11512756,7658499,4845708,4845710,2920220,1693955,1693954,2920216,4846066,4244480,2537764,2537763,4244473,6771853,10299189,10044125,6600574,6600571,6600582,6600580,10044140,14597198,20339206,27275367,25217165,18651170,13262163,9049283,254632714,18651172,254898178,41866129,256087022,42801456,33769744,25960842,21429156,21429150,21429151,28677640,28816009,256336263,47264920,270325452,98892442,112880113,113950236,127829836,141191939,153867052,161273236,259786804,258529980,92996991,78886709,78886708,65551763,53526942,53526941,65551760,257310032,77544601,270517649,258032740,58369140,256305490,28603840,255021486,15390063,21112206,21112208,25375174,25375173,29921687,29921686,28320841,21110539,21110540,28320844,36816870,36818272,36818273,33519447,33519448,28320734,21110420,21107682,15162162,10456341,6892425,4326689,4326687,6892423,10456336,10459322,267955976,15162086,10456280,10456237,10456236,15162025,254494158,12426878,8399031,8399028,12426871,17605179,12426986,8399105,8399104,12426995,12426441,12426443,10525191,10525190,15162290,21107619,15162094,15162095,21107622,28317962,36814173,46697054,36917089,35197129,27107556,20207113,14500022,9977584,6557978,6557979,4537422,2727350,2727347,4537394,4535785,2726442,1579726,1579728,267826933,7199464,10887430,15724015,21782927,29080770,37631060,47536679,58917583,58917561,48250046,48250045,50926586,47832882,37911131,29342079,22010153,22010151,29342074,37911159,37911192,29342094,22010163,22010162,29342092,37911189,47832957,47832993,47832994,59230729,59230740,58917639,47833027,47833026,58871202,58871203,59230676,47832933,47832934,50057193,50057192,61535996,61537241,61536373,61536374,50058883,50058856,40039386,40039387,50058859,61537229,65166086,71638189,71638187,80330288,72371746,59637325,48250040,48250038,50058227,50058226,61536679,258884127,84461287,70905035,65166092,53181485,53181486,65166094,70904985,63787502,51972224,41664324,41664325,51972226,63787505,76897207,87916945,74313294,257652537,40039409,31359383,23865375,23865374,25896563,19236365,19236367,25896567,33702720,42732292,40038200,40038199,36948305,36948306,29342061,22010148,22010149,29342065,37911146,47832903,46826364,46826366,47832907,46826250,36948331,28448271,28448270,36948326,33702538,25896579,19236374,13743409,13743411,19236382,25896587,33702743,42732331,53181370,42732109,36948275,28448230,21221832,15252476,15252478,21221838,28448240,23864393,23864395,31358282,23864412,23864410,31358311,40038277,50057793,47490094,47490095,46826240,36948320,28448265,28448266,256846501,46826371,36948486,28448402,256307513,36948481,29225269,29225268,33702541,25896426,255286265,13743372,19236285,25896423,25896574,28448414,28448248,21221845,15252483,10522534,6939603,6939604,10522537,15252485,15252481,10522531,10522532,12354873,8347190,8347189,12354869,17520239,23864408,31358306,40038260,42732190,47490099,37585096,37585098,37757248,47679479,40038805,31358830,31358829,28448394,21221945,15252532,15252534,21221953,17495476,17495477,23834411,31325075,37650831,33702668,33702667,36948286,33702620,33702621,25896554,25896553,28448423,21221969,15252543,15252510,10522548,6939610,4361003,4361004,6939615,10522557,15252529,21221938,21745427,21745425,23864418,17520247,17520217,17520218,23864378,31358256,25896548,25896547,28448234,36948284,37585094,37585093,33702587,33702586,36948508,36948507,38867943,30282262,30282260,38867939,40003061,37585146,29037538,29037539,28448299,21221868,21221869,25896526,19236343,13743396,9416170,6169455,6169456,9416174,13743405,14187988,19807497,21221958,19236324,19236323,21221907,15252516,15252517,21221911,21221932,21221897,21221898,21221816,21221817,28448203,36948214,33702626,33702624,42732205,36948460,36948458,31358221,23864359,23864358,31358216,40038186,36948046,36948047,36948442,36948400,28448330,28448331,31325238,23834528,17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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164558, s2 = 14165950, dlinesl.size( ) = 2 s1 = 14164558, s2 = 14165950, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14164558, Dl.E( ) = 18, 3.5e-05 seconds used appending s1 = 3397256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15678185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3398894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3398894, s2 = 14039599, int(edited[s2]) = 0 s1 = 3398894, s2 = 14039599, d1 = 27, d2 = 24 Dl.O(d1) = 112635412,98638537,84708253,71138473,58416886 Dl.O(d2) = 268292391,13325820,13325821,18719573,18719574,25293633,25293926,25294196,18720044,18720045,18720172,13325980,9105090,9105089,13325978,18719856,13325709,9104905,5957560,3725741,3725740,5957558,9104903,5957610,3725777,2230757,1293699,1293698,2230754,3725772,5957598,5957599,9104959,13325796,18719967,13325802,13325803,18719973,25294126,33019712,25293799,25293798,33019710,29402604,22072215,15967187,15967186,18719778,18719777,25293892,25543357,18930510,13495457,13495456,13495455,18930509,25543356,33305153,41962530,41962509,41962510,52303052,52303090,52303091,64154808,64571422,52671521,42285338,33305150,33305149,42285336,52303094,64154811,64571424,52671523,52303047,41962505,33019721,25293810,25293811,33019723,41962508,52303050,52303099,41962558,41962557,41962502,41962503,52303045,268902256,27287814,20352879,14609200,14609199,20352877,27287810,35412625,44837791,52671546,256721932,33305168,42285358,52671544,64154802,257163068,268763414,36552216,36552217,46415284,57768808,257163076,28083284,20910209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3398894, s2 = 14039599, dlinesl.size( ) = 2 s1 = 3398894, s2 = 14039599, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3398894, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 7670919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9327111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9327111, s2 = 14165659, int(edited[s2]) = 0 s1 = 9327111, s2 = 14165659, d1 = 8, d2 = 8 Dl.O(d1) = 258539744,84688683,72484788,61488292,61488291,59750685,48368269,38466817,29909258,29815076,29815075,31315269,31315280,31315281,23826021,17488698,12330897,8329973,8329972,12330896,17488696,23826016,256519437,50010136,52757789,42358249,33369303,33369302,42358247,52757785,59165114,47766338,47766337,268292468,37845571,29278446,21954238,15862977,10994786,7278378,4590205,2761637,2761640,4590210,4590062,267887735,10994368,15862303,257920769,256306244,20217930,14508024,9983155,9983156,10458693,10458694,254330832,10458326,10458325,6895978,6895977,10461719,15169048,267961132,15163059,10456960,6892813,254320744,9983157,14508025,20217932,23950831,28429765,21277491,15315417,10577858,6977689,4383865,4383866,6977692,10577863,15315431,21277502,21196696,15232506,10507788,6928971,6928972,10507791,15232510,21196700,28419095,36450546,28324179,23950649,17604894,13601051,9313187,6938950,4360530,2612854,2612851,4360518,6938926,10521601,15251314,21208593,21208592,27991827,21220462,21220381,20828022,20828023,21273676,15312402,15241905,15241904,21208360,254158804,46809426,58176760,61471671,49994212,39978032,31303191,31303192,39978034,49994216,61471680,74249927,87854646,90185447,90185448,104337888,260823377,261929289,143191465,260721809,101921275,260721811,143191467,155743989,167377471,164440766,152584818,139875180,126509552,112644784,98648097,258051146,71147810,58426163,47051446,47051447,58426165,71147812,84717701,258051144,98648096,112644782,112644783,259921620,152584817,164440764,175221962,262655162,162856902,261576843,124257809,110150486,110150487,124257805,137879916,127470092,113625851,113625850,127470088,127470089,271082178,102165274,116226268,130136819,143467699,156006790,167616639,178080258,262537002,165238469,153438587,153438588,150491160,137456089,123728400,123728401,123728399,116148103,102090680,258897793,74491832,85471962,258911984,59149834,71887557,85471965,99017007,99017009,91884062,91884063,102345371,102345370,90809785,268910066,41698545,41698547,34612568,26623502,26623503,25084740,18540523,13173878,13173877,18540521,25084737,32782180,41698543,255804636,255804634,52010319,63826078,76933695,90809926,80312995,80312994,258504407,54626405,54626404,66883916,257286845,43883989,34612726,26623639,19813086,14191985,14191986,19813089,26623645,34612733,43883990,34612752,26623674,19813116,14192000,9755999,9755998,14191997,19813108,26623663,26623744,19813173,14192045,9756030,6414820,4024493,2411725,1395799,793955,793956,1395800,2411726,4024494,6414821,9756031,14192047,254680350,19175134,19175135,25826779,33628809,42657674,33628783,33628784,25826784,19175137,19175136,25826781,33628811,42657688,42657679,33628786,33628785,42657677,53109517,53109409,254465260,43883935,34612669,26623583,19813032,19813033,26623585,26623617,19813068,14191970,9755982,6414788,4024470,2411708,1395789,793947,793946,267738774,2191245,2191246,3662223,5865928,8985174,13181519,13181514,13181513,18551685,25099987,32801539,34576309,26589115,26589116,32808802,25106585,18557307,13186107,8988557,5868395,3664074,2192753,267736862,267743200,726888,1271963,2191242,1393530,792467,448776,252531,139440,76094,76095,139441,252532,448777,792468,1393531,2408290,4019028,6406078,9742237,14171067,19784415,26589251,34576440,43848259,54592853,66851811,59692307,59692306,72428037,59960007,48567947,48567948,59960010,59692321,48305376,38394818,29822376,22455087,22455086,29822373,38394812,48305364,59692302,72428033,86025825,85020975,85020974,98946222,103861540,89758015,86025844,86025843,75027875,62204960,50685587,50685586,62204957,75027873,85021043,71448830,71448828,85021011,85021012,256881226,84465754,70909449,58196726,58196722,70909442,70909441,70909440,80398167,94457489,108750550,258696008,269319892,98946278,99494189,112935510,112935509,126790040,131833138,118005969,103861532,98946273,85021061,71448851,71448852,66967845,54708688,54708689,66967846,80398141,94457459,108750526,116782235,108750513,108750512,108750557,268924874,80398176,78447942,65165049,65165050,257813970,71771008,71771007,85360786,99305730,94457528,94457529,108750576,123019376,109379858,95125518,92940048,92940049,270632598,257882714,94457533,80398225,80398224,94457464,80398145,66967848,66967849,80398146,94457466,108750530,102317837,88322166,74694601,74694600,88322164,80331998,66905374,66905379,71771025,81059928,81059927,71771015,59028279,59028278,67794857,67794856,81263149,95117371,81059965,67592296,67592297,81059967,67794851,55452730,55452729,67794849,81263140,74858840,74858839,74694590,67592271,55257492,44409960,35035411,26955484,26955486,35035413,44409964,44409948,44402854,44402855,55250717,67592330,81059991,88495848,81059931,67592260,55250671,44402823,44402822,55250669,66905368,59028286,47625594,37702597,29141711,29141712,26946655,26946654,35027415,44402799,55250634,67592232,58211185,55250682,55250681,67592285,67592290,81059951,67599204,55257520,44409982,44409983,55257522,55250712,44402851,35027460,35027459,35035409,44409954,55257482,55250660,44402816,256215129,26946664,35027431,35027428,35027427,44402809,55250655,44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Dl.O(d2) = 258539744,84688683,72484788,61488292,61488291,59750685,48368269,38466817,29909258,29815076,29815075,31315269,31315280,31315281,23826021,17488698,12330897,8329973,8329972,12330896,17488696,23826016,256519437,50010136,52757789,42358249,33369303,33369302,42358247,52757785,59165114,47766338,47766337,268292468,37845571,29278446,21954238,15862977,10994786,7278378,4590205,2761637,2761640,4590210,4590062,267887735,10994368,15862303,257920769,256306244,20217930,14508024,9983155,9983156,10458693,10458694,254330832,10458326,10458325,6895978,6895977,10461719,15169048,267961132,15163059,10456960,6892813,254320744,9983157,14508025,20217932,23950831,28429765,21277491,15315417,10577858,6977689,4383865,4383866,6977692,10577863,15315431,21277502,21196696,15232506,10507788,6928971,6928972,10507791,15232510,21196700,28419095,36450546,28324179,23950649,17604894,13601051,9313187,6938950,4360530,2612854,2612851,4360518,6938926,10521601,15251314,21208593,21208592,27991827,21220462,21220381,20828022,20828023,21273676,15312402,15241905,15241904,21208360,254158804,46809426,58176760,61471671,49994212,39978032,31303191,31303192,39978034,49994216,61471680,74249927,87854646,90185447,90185448,104337888,260823377,261929289,143191465,260721809,101921275,260721811,143191467,155743989,167377471,164440766,152584818,139875180,126509552,112644784,98648097,258051146,71147810,58426163,47051446,47051447,58426165,71147812,84717701,258051144,98648096,112644782,112644783,259921620,152584817,164440764,175221962,262655162,162856902,261576843,124257809,110150486,110150487,124257805,137879916,127470092,113625851,113625850,127470088,127470089,271082178,102165274,116226268,130136819,143467699,156006790,167616639,178080258,262537002,165238469,153438587,153438588,150491160,137456089,123728400,123728401,123728399,116148103,102090680,258897793,74491832,85471962,258911984,59149834,71887557,85471965,99017007,99017009,91884062,91884063,102345371,102345370,90809785,268910066,41698545,41698547,34612568,26623502,26623503,25084740,18540523,13173878,13173877,18540521,25084737,32782180,41698543,255804636,255804634,52010319,63826078,76933695,90809926,80312995,80312994,258504407,54626405,54626404,66883916,257286845,43883989,34612726,26623639,19813086,14191985,14191986,19813089,26623645,34612733,43883990,34612752,26623674,19813116,14192000,9755999,9755998,14191997,19813108,26623663,26623744,19813173,14192045,9756030,6414820,4024493,2411725,1395799,793955,793956,1395800,2411726,4024494,6414821,9756031,14192047,254680350,19175134,19175135,25826779,33628809,42657674,33628783,33628784,25826784,19175137,19175136,25826781,33628811,42657688,42657679,33628786,33628785,42657677,53109517,53109409,254465260,43883935,34612669,26623583,19813032,19813033,26623585,26623617,19813068,14191970,9755982,6414788,4024470,2411708,1395789,793947,793946,267738774,2191245,2191246,3662223,5865928,8985174,13181519,13181514,13181513,18551685,25099987,32801539,34576309,26589115,26589116,32808802,25106585,18557307,13186107,8988557,5868395,3664074,2192753,267736862,267743200,726888,1271963,2191242,1393530,792467,448776,252531,139440,76094,76095,139441,252532,448777,792468,1393531,2408290,4019028,6406078,9742237,14171067,19784415,26589251,34576440,43848259,54592853,66851811,59692307,59692306,72428037,59960007,48567947,48567948,59960010,59692321,48305376,38394818,29822376,22455087,22455086,29822373,38394812,48305364,59692302,72428033,86025825,85020975,85020974,98946222,103861540,89758015,86025844,86025843,75027875,62204960,50685587,50685586,62204957,75027873,85021043,71448830,71448828,85021011,85021012,256881226,84465754,70909449,58196726,58196722,70909442,70909441,70909440,80398167,94457489,108750550,258696008,269319892,98946278,99494189,112935510,112935509,126790040,131833138,118005969,103861532,98946273,85021061,71448851,71448852,66967845,54708688,54708689,66967846,80398141,94457459,108750526,116782235,108750513,108750512,108750557,268924874,80398176,78447942,65165049,65165050,257813970,71771008,71771007,85360786,99305730,94457528,94457529,108750576,123019376,109379858,95125518,92940048,92940049,270632598,257882714,94457533,80398225,80398224,94457464,80398145,66967848,66967849,80398146,94457466,108750530,102317837,88322166,74694601,74694600,88322164,80331998,66905374,66905379,71771025,81059928,81059927,71771015,59028279,59028278,67794857,67794856,81263149,95117371,81059965,67592296,67592297,81059967,67794851,55452730,55452729,67794849,81263140,74858840,74858839,74694590,67592271,55257492,44409960,35035411,26955484,26955486,35035413,44409964,44409948,44402854,44402855,55250717,67592330,81059991,88495848,81059931,67592260,55250671,44402823,44402822,55250669,66905368,59028286,47625594,37702597,29141711,29141712,26946655,26946654,35027415,44402799,55250634,67592232,58211185,55250682,55250681,67592285,67592290,81059951,67599204,55257520,44409982,44409983,55257522,55250712,44402851,35027460,35027459,35035409,44409954,55257482,55250660,44402816,256215129,26946664,35027431,35027428,35027427,44402809,55250655,44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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9327111, s2 = 14165659, dlinesl.size( ) = 2 s1 = 9327111, s2 = 14165659, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9327111, Dl.E( ) = 10, 1.5e-05 seconds used appending s1 = 6802331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9455721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 298490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 298490, s2 = 2564918, int(edited[s2]) = 0 s1 = 298490, s2 = 2564918, d1 = 51, d2 = 44 Dl.O(d1) = 7397643,4673414,2815559,2815558,4673412,254317284,16062313,22189985,254095890,9959630,254095892,267762222,20175189,27070243,35156089,36696403,28205860,28205861,36696406,46582859,37177528,258678745 Dl.O(d2) = 273155830,72566341,59830926,48444670,48444669,59830925,72566340,72566332,59830922,59830923,270332351,72566339,72566340,72566332,72566333,86164525,72566341,72566342,86164530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 298490, s2 = 2564918, dlinesl.size( ) = 18 s1 = 8421577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8421577, s2 = 6727073, int(edited[s2]) = 0 s1 = 8421577, s2 = 6727073, d1 = 76, d2 = 75 Dl.O(d1) = 117626581,260791247,260527339,139901690,260527340,103496318,89402620,258055654,18126965,15404348,10647244,10647245,10647267,10647266,15404385,255831093 Dl.O(d2) = 30585251,23167281,16904311,11829930,11829929,16904308,23167277,30585243,39182989,257770401,32985228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8421577, s2 = 6727073, dlinesl.size( ) = 2 s1 = 8421577, s2 = 6727073, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8421577, Dl.E( ) = 78, 2.79e-05 seconds used appending s1 = 3401025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3401221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9463739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9463739, s2 = 11904400, int(edited[s2]) = 0 s1 = 9463739, s2 = 11904400, d1 = 1, d2 = 1 Dl.O(d1) = 878893,495718,278755,254098029,881033,1549731,1547663,1547662,1550475,1550474,2676726,4455781,7077550,10713214,15492149,21498963,28758252,37291837,47199738,58590760,71323973,71223063,58501238,47122672,47122671,58501236,71223062,84791754,98719369,112714717,126578936,261099578,164500126,175274575,184835724,193183897,200348989,206401468,211407334,215499053,218879845,265172180,226306680,228155692,265844756,231219376,266100718,233679945,233679944 Dl.O(d2) = 878893,495718,278755,254098029,881033,1549731,1547663,1547662,1550475,1550474,2676726,4455781,7077550,10713214,15492149,21498963,28758252,37291837,47199738,58590760,71323973,71223063,58501238,47122672,47122671,58501236,71223062,84791754,98719369,112714717,126578936,261099578,164500126,175274575,184835724,193183897,200348989,206401468,211407334,215499053,218879845,265172180,226306680,228155692,265844756,231219376,266100718,233679945,233679944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9463739, s2 = 11904400, dlinesl.size( ) = 2 s1 = 9463739, s2 = 11904400, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9463739, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 817836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8396740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8396740, s2 = 6749449, int(edited[s2]) = 0 s1 = 8396740, s2 = 6749449, d1 = 30, d2 = 23 Dl.O(d1) = 260531970,112757850 Dl.O(d2) = 258060148,58535013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8396740, s2 = 6749449, dlinesl.size( ) = 32 s1 = 7969931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7969931, s2 = 10351046, int(edited[s2]) = 0 s1 = 7969931, s2 = 10351046, d1 = 25, d2 = 23 Dl.O(d1) = 256883539,28917921,21643228,15611118,10800777,10800778,15611124,21643237,21803242,21803779,21803778,24639360,255169790,19022846,13577852,9296836,254184618,5354883,8300004,5354520,5354518,8300000,268253873,261283381,260113544,98768168,258684585 Dl.O(d2) = 256869404,58534338,58534339,59108894,47710954,37789990,29227970,29227969,36990736,28493457,21276524,21276525,28493459,36990739,30884832,30884831,38537262,38537263,48445915,47901196,47901195,50453407,49256119,39329322,30730972,23312322,17049865,11961046,8006949,8006948,11961043,255438078,13660823,9354742,6127460,3833690,2296889,2296892 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8438496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9387952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13518771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3403668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8157634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3404365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13397329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2905742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7084649, s2 = 13672612, int(edited[s2]) = 0 s1 = 7084649, s2 = 13672612, d1 = 125, d2 = 60 Dl.O(d1) = 262333100,260708926 Dl.O(d2) = 152739439,152739441,152739442,164574588 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9739111, s2 = 1956043, int(edited[s2]) = 0 s1 = 9739111, s2 = 1956043, d1 = 37, d2 = 68 Dl.O(d1) = 263593770 Dl.O(d2) = 24162680,31672379,31672378,40367111,50402535 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8459138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8459138, s2 = 2158764, int(edited[s2]) = 0 s1 = 8459138, s2 = 2158764, d1 = 15, d2 = 29 Dl.O(d1) = 261786720,140082833,126734500 Dl.O(d2) = 58659321,58659322,71394194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 3133546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3886556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3886556, s2 = 8394480, int(edited[s2]) = 0 s1 = 3886556, s2 = 8394480, d1 = 80, d2 = 100 Dl.O(d1) = 140127412,126777013,112922438 Dl.O(d2) = 177889752,187160114,260484930,174483717,163648734,151774268,139072748,125733810,111915828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3886556, s2 = 8394480, dlinesl.size( ) = 44 s1 = 6948075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6948075, s2 = 1961531, int(edited[s2]) = 0 s1 = 6948075, s2 = 1961531, d1 = 6, d2 = 6 Dl.O(d1) = 85008501,98934281,112923775,126778291,126778289,126778290,260504630,98934282,98934283,112923779,112923777,98934282,270801952,260504628,112923770,98934278,98934279,112923773,116523423,258914922,85008499,85008498,98934277,258914924,112923769,116523423,102426440,88425011,74792837,74792838,74792835,61996444,50504891,40469103,31774203,24261917,24261918,19815765,14194261,9757786 Dl.O(d2) = 85008501,98934281,112923775,126778291,126778289,126778290,260504630,98934282,98934283,112923779,112923777,98934282,270801952,260504628,112923770,98934278,98934279,112923773,116523423,258914922,85008499,85008498,98934277,258914924,112923769,116523423,102426440,88425011,74792837,74792838,74792835,61996444,50504891,40469103,31774203,24261917,24261918,19815765,14194261,9757786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6948075, s2 = 1961531, dlinesl.size( ) = 2 s1 = 6948075, s2 = 1961531, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6948075, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 3409389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3409389, s2 = 1543680, int(edited[s2]) = 0 s1 = 3409389, s2 = 1543680, d1 = 1, d2 = 2 Dl.O(d1) = 112926585 Dl.O(d2) = 39158641,49088337,60491585,258821711,100832189,114882630,128778681,118794232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3409389, s2 = 1543680, dlinesl.size( ) = 2 s1 = 3409389, s2 = 1543680, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3409389, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8180601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3409901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3409901, s2 = 7264916, int(edited[s2]) = 0 s1 = 3409901, s2 = 7264916, d1 = 84, d2 = 75 Dl.O(d1) = 112936074,112936073 Dl.O(d2) = 264735627 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6710268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9700582, s2 = 11637750, int(edited[s2]) = 0 s1 = 9700582, s2 = 11637750, d1 = 27, d2 = 23 Dl.O(d1) = 263907838,193498978,185181795,185181796,193498979,200627894,206641557,210525186,205341124,199079155,191676589,263014099,162117735,149906077,136765514,122934574,108670396,94383506,80328749,66901370,54644030,43900854,34628384,26638526,19826583,19826584,256200979,256723955,54644031,66901371,73512292,257611049,257192526,23398431,17126498,12035858,12035857,12594412,10776825,10776823,15579082,17126840,21607655,21607686,15579125,10776852,7120622,254740607,255044707,10778863,15581858,21610974,28887196,37429171,47337333,58725992,258696717,85028421,98953497,260542963,140146894,152841047,164677256,175435253,166091783,154342694,141690673,128341190,114464263,257450184,86482837,98782560,98782559,84856229,72887692,60151544,48757327,38837354,38837355,47926107,47926108,59319104,72053829,269316116 Dl.O(d2) = 246373853,246457340,246536220,246611411,246681421,246747194,267572816,246870342,246928466,246983865,247036075,247084272,247127876,247167370,247203763,267627728,247164565,247124822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9700582, s2 = 11637750, dlinesl.size( ) = 14 s1 = 7645571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7645571, s2 = 1453734, int(edited[s2]) = 0 s1 = 7645571, s2 = 1453734, d1 = 5, d2 = 2 Dl.O(d1) = 270816568 Dl.O(d2) = 37434136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7645571, s2 = 1453734, dlinesl.size( ) = 2 s1 = 7645571, s2 = 1453734, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 7645571, Dl.E( ) = 14, 4.77e-06 seconds used appending s1 = 10354303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354303, s2 = 7718438, int(edited[s2]) = 0 s1 = 10354303, s2 = 7718438, d1 = 39, d2 = 28 Dl.O(d1) = 258303319,261333983 Dl.O(d2) = 273587022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8492853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8492853, s2 = 10181385, int(edited[s2]) = 0 s1 = 8492853, s2 = 10181385, d1 = 0, d2 = 0 Dl.O(d1) = 140158505,140158506,140158507,126808139,112954052,98964811,85039789,71467796,58738110,47350461,37443854,28904580,21630317,15599232 Dl.O(d2) = 140158505,140158506,140158507,126808139,112954052,98964811,85039789,71467796,58738110,47350461,37443854,28904580,21630317,15599232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8492853, s2 = 10181385, dlinesl.size( ) = 2 s1 = 8492853, s2 = 10181385, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8492853, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 3136457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7598541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7598541, s2 = 3888409, int(edited[s2]) = 0 s1 = 7598541, s2 = 3888409, d1 = 14, d2 = 16 Dl.O(d1) = 268925277 Dl.O(d2) = 140162166,263112425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7598541, s2 = 3888409, dlinesl.size( ) = 22 s1 = 6804441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6804441, s2 = 9350067, int(edited[s2]) = 0 s1 = 6804441, s2 = 9350067, d1 = 1, d2 = 7 Dl.O(d1) = 257043671,39706058,37453439,28914160,268211425,10798497,7134798,7134800,10798506,15608259,21639931,28914177,37453454,47359681,258697981 Dl.O(d2) = 6828514,10365724,15004914,10335006,6818033,6802570,4266076,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,9647476,10396246,8593865,5583860,3464523,2054582,1178787,1178788,2054583,3464525,5584129,8594273,12658419,8605186,5591938,5591937,8605184,11749969,16803587,23049162,30456902,39046253,48967497,60362618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6804441, s2 = 9350067, dlinesl.size( ) = 2 s1 = 6804441, s2 = 9350067, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6804441, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7660885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7640320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9672872, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3662151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3662151, s2 = 7943656, int(edited[s2]) = 0 s1 = 3662151, s2 = 7943656, d1 = 9, d2 = 16 Dl.O(d1) = 126848830 Dl.O(d2) = 21256679,15292187,15292188,15292164,12386411,12386410,17409950,17409951,12269534,8285471,5345174,3285005,1931914,1931917,1103604,619246,344083,344084,619248,1103611,1930861,1930865,1103171,1103169,1931003,1103486,1103482,254589253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3662151, s2 = 7943656, dlinesl.size( ) = 20 s1 = 8561254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8561254, s2 = 8274726, int(edited[s2]) = 0 s1 = 8561254, s2 = 8274726, d1 = 10, d2 = 1 Dl.O(d1) = 143923416,140214037,126867667,113015846 Dl.O(d2) = 85103720,71532572,58803574,47416391,37508644,28965293,21683326,15644030,10826704,254665288,2708167,2708170,2708688,2708684,2708592,2708598,2263120,2263124,2263120,2263121,2263106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8561254, s2 = 8274726, dlinesl.size( ) = 2 s1 = 8561254, s2 = 8274726, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8561254, Dl.E( ) = 12, 2.1e-05 seconds used appending s1 = 9695806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9695806, s2 = 8558957, int(edited[s2]) = 0 s1 = 9695806, s2 = 8558957, d1 = 14, d2 = 46 Dl.O(d1) = 47420470,37512750,37512749,47420469,258078899,259328861 Dl.O(d2) = 159493383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9695806, s2 = 8558957, dlinesl.size( ) = 14 s1 = 3140057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3140057, s2 = 5763993, int(edited[s2]) = 0 s1 = 3140057, s2 = 5763993, d1 = 5, d2 = 28 Dl.O(d1) = 99040176 Dl.O(d2) = 233727860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3140057, s2 = 5763993, dlinesl.size( ) = 24 s1 = 3663999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3638377, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8238501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3142557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3142606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10189790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2987918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3144724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1817756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1817756, s2 = 7600636, int(edited[s2]) = 0 s1 = 1817756, s2 = 7600636, d1 = 3, d2 = 25 Dl.O(d1) = 47618716,258713749 Dl.O(d2) = 268958454 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9428199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3420476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8472547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8472547, s2 = 10852402, int(edited[s2]) = 0 s1 = 8472547, s2 = 10852402, d1 = 12, d2 = 45 Dl.O(d1) = 16533651,22741473,30124009,38700970,38701236,33758951,30122903,30122905,38700131,38700593,38700592,48615958,256432722,22741259,256432773,48616088,60006536,72742089,86338479,86338498,86338496,99569246,257556850,98196777,97711841,257606008,70327433,257555999,30113722,22733150,22733152,30113732,38689618,48605219,49231373,48655788,48655786,257080518,60632078,257553074,86993512,80362300,80362301,257663638,59068102,71809036,259343401,113345166,113345163,259022338,119273634,129232717 Dl.O(d2) = 175368401,175368403,164608664,261241206,260066822,112882357,126734616,140082960,262185749,262772956,164608653,152773995,140082943,126734601,112882337,112882335,126734595,140082937,262185745,175368391,184916383,262306318,177312028,186638238,194758651,201707310,200412396,200412397,206459417,211460308,215548794,215548798,215548797,218927815,263949714,207556137,207556135,212379800,212379804,207556140,206459418,262779940,212379798,207556134,201707306,194758649,194758648,201707305,207556132,212379793,212379795,212379796,215709519,211657367,264262514,219061086,221891831,265187676,274094572,211657378,215709534,264795780,222363828,224738080,226430289,274204404,221891846,224321375,221891836,264977148,264486700,200700466,200700467,193588918,193588917,200700465,206700357,211657369,211657382,206700365,206700364,211657380,264977147,221891847,265187674,215709532,211657377,206700362,200700469,193588916,185291635,175780489,175780490,185291637,193588920,200700471,206700368,211657386,215709520,219061088,221891833,224321373,224321383,221891845,219061096,215709530,264977145,265187678,264977143,215709529,265187673,224321382,226430285,265710746,224321376,221891838,221891839,219061092,215709526,211657373,206700360,264486699,274189603,265378821,226430283,228266758,228266759,228266760,229878755,231310393,229878752,228266755,226430281,224321380,224321379,226430279,228266752,226430277,224321378,221891840,265378819,226199811,274555464,229878757,228266762,274457279,224066970,274406879,265971877,228056782,228056783,226794102,224731626,265400662,265164283,224066965,224066958,224066959,226199810,224066969,221607771,218744440,218744441,221607773,222356547,219589637,219589638,221607768,218744436,215352860,211248445,211248444,215352858,218744434,221607766,224066962,274279846,221607769,224066967,265211608,274264501,264716895,211248448,212364785,207532566,201672899,201672898,264236328,216314198,218744429,215352854,211248435,206225062,200150208,192956079,184569738,174966073,164147627,164147626,174966071,264166873,211248438,211248441,264166875,200150201,264166869,192956069,184569731,184569732,192956071,192956072,200150199,206225051,211248437,211248432,211248433,211248430,264236332,201672901,194715107,186589479,273361472,192956077,184569736,184569735,192956075,200150203,206225055,264716893,264519640,206225047,201672896,194715105,273134896,166706026,166706025,177263121,186589478,194715102,201672891,207532562,207532570,201672904,194715109,186589481,262265742,155005331,155005330,166706028,155005329,142357259,142357258,155005337,262265746,263176788,201672911,262306314,177263124,177263115,177263116,177263111,260076232,177125777,261250114,142357262,260027748,86993515,73378176,60632069,257130028,55414197,44566669,44566668,55414195,67754514,269441252,109533147,269876708,100986304,86993520,258271410,49231011,39304060,30706162,23289940,17030400,11945148,7995455,7995456,7995362,7995363,11944997,17030184,17030858,23290464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8472547, s2 = 10852402, dlinesl.size( ) = 2 s1 = 8472547, s2 = 10852402, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8472547, Dl.E( ) = 46, 1.81e-05 seconds used appending s1 = 10160745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3423115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3423115, s2 = 939797, int(edited[s2]) = 0 s1 = 3423115, s2 = 939797, d1 = 17, d2 = 6 Dl.O(d1) = 113378507 Dl.O(d2) = 40004923,31326920,23835800,17496456,12336599,8334113,5378950,3307577,3307576,5378948,8334112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3423115, s2 = 939797, dlinesl.size( ) = 2 s1 = 3423115, s2 = 939797, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3423115, Dl.E( ) = 122, 6.08e-05 seconds used appending s1 = 6845231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8183723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3423847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3151767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3151767, s2 = 8541302, int(edited[s2]) = 0 s1 = 3151767, s2 = 8541302, d1 = 1, d2 = 5 Dl.O(d1) = 99420033 Dl.O(d2) = 165118207,153305757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3151767, s2 = 8541302, dlinesl.size( ) = 8 s1 = 8401217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8401217, s2 = 13398656, int(edited[s2]) = 0 s1 = 8401217, s2 = 13398656, d1 = 10, d2 = 37 Dl.O(d1) = 55247367 Dl.O(d2) = 60208328,48811232,38888776,38888777,48811234,48811213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8401217, s2 = 13398656, dlinesl.size( ) = 2 s1 = 8401217, s2 = 13398656, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8401217, Dl.E( ) = 66, 1.79e-05 seconds used appending s1 = 9126622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2186064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6960937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8296881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8296881, s2 = 14164601, int(edited[s2]) = 0 s1 = 8296881, s2 = 14164601, d1 = 6, d2 = 5 Dl.O(d1) = 104849986,90681729,76813268,63712265,63712264,76813265,90681713,76813253,76813252,90681711,104849975,112696638,98700617,84771905,71202551,71202552,84771907,98700623,112696648,272182851,152631201,164482467,175259250,184822809,179988205,179988206,179988229,188949790,179988225,169805423,158438538,146072175,132853838,119033801,119033800,132853835,146072171,158438529,169805409,179988210,188949778,196714256,203360105,208930062,213506333,217254480,220375246,223024645,225309665,265385802,221433815,223910888,221433817,274191710,210938996,205834274,199662032,192365200,183890146,183890145,174219807,163366861,163366862,163366864,165225450,153423577,140742567,127386787,113517104,113517105,113517107,113517106,127386791,113517109,99506024,99506022,85559549,71972314,59234597,47837322,37916032,37916027,37916029,256375783,22015072,22015073,29347096,37916024,37916018,29347092,22015070,22015071,29347094,37916021,257498359,71972303,259357165,71972312,59234595,59234596,59234587,47837315,47837316,59234589,71972302,85559538,99506009,113517095,113517096,113517093,99506005,85559534,71972299,71972300,85559536,99506007,99665826,85718321,72133782,59403364,48016244,38105982,29542724,22199444,16070370,11158887,11158888,16070374,21308722,15338831,10594363,10594364,6989736,4392350,2631798,1519681,1519680,2631795,4392346,254729305,6989155,4391982,4391983,6989157,4392124,2631663,2631662,2631965,1519769,1519768,2631963,4392633,6990078,6989880,254497859,4392069,6989291,10594665,15339214,21309092,28531770,37029935,46907232,58272424,258121580,86295624,86295623,100258430,113414106,99412788,85471971,71887563,71887564,61893158,50402599,50033990,50033991,59149824,61512235,61512234,74288986,87891598,99016998,99016997,101810261,99016999,85091505,71519058,71519057,85091484,71519030,58789209,58789208,71519028,85091482,98522887,98522881,98522882,87073648,73455935,60707549,60707550,73455937,87073644,73455989,257607233,39377480,268427045,23352196,30775980,33370891,42359871,52759436,49305203,49305202,60707562,73455952,65670880,65670881,73455959,60707571,49305210,39377444,30775954,30775955,39377446,49305214,60707579,73455964,79022221,79022209,73455949,73455950,87073661,87009670,73394172,60647633,60647632,73394171,73622752,73622751,70314723,65670887,65670886,79022222,70314717,57624045,57624046,70314719,65670877,53622897,53622896,65670874,257601506,87009675,73394177,60647638,60647636,60647637,73394175,87009672,101003232,101092583,114391993,100368734,86412744,72817680,60080270,60080271,53881469,53881470,65948502,71196952,58475524,47097649,47097650,47097651,47097652,52273226,41934403,257740190,32993671 Dl.O(d2) = 51781221,63563999,76646929,90505686,104667603,118845089,132660015,260709492,118845085,132660011,145875642,158242654,169618089,169618090,179814348,188792622,196577683,200248846,273691724,184705339,263066718,175124884,263492061,186002002,193070374,193070356,184705316,184705317,193070358,200248822,263572668,200248819,206312333,206312334,211326065,206771534,200780350,200780349,262747240,206771530,200780344,193680451,193680452,200780345,200780353,261211532,165201828,153398956,153398957,153398954,153398955,165201826,175909371,261211528,178138714,167680912,167680911,170014955,158656385,146288045,146288046,158656386,170014957,172477357,182429871,191133691,195404918,194201569,185985049,185985048,262533762,207164250,204970799,204970800,204970804,198624607,191133715,182429912,262038496,198624595,204129958,197622816,189980984,181118341,178138722,167680922,156077439,156077440,147353056,134142020,134142017,134142018,147353054,155539857,155539856,167172463,167172465,155539858,142990461,129662494,271388448,87747430,86820120,86820119,73561435,73561434,73561437,60815231,49415450,49415449,57525420,46897244,46897246,48120396,59507879,59224976,55427401,55427400,58015428,50124175,40103971,31424143,31424142,40103968,40783013,50899681,42268300,33288149,33288150,40855713,40855712,50990282,62612294,73479741,61325833,257052233,31136604,31136605,255973726,30798520,23371914,17103098,17103100,254819044,31832011,31832010,31832196,34118494,31368504,23873712,23873713,31368507,40048999,50068302,43303260,257265077,65895498,79258008,73460338,73460339,73571864,257528928,48241183,38330935,38330939,46831804,48562237,38646744,37998999,29436233,29436234,37999004,47915051,59309426,49310135,39382352,30780515,23356031,23356032,30780520,36457709,27999242,27999243,36457711,36457720,46310523,46310480,257385599,38330721,38330720,257529055,72362769,75551404,87155002,73536672,73536654,73536655,62210910,50691211,50691212,62210912,257412686,60830424,60830423,67767035,55427385,55427386,67767037,62989342,62989343,75971561,66932611,55427388,55427387,67767040,81232928,95290757,85630265,72042522,59307163,47913070,37997163,37997164,39275860,30679058,30679057,30679065,23262538,16999183,16999182,20111890,14423266,13072790,11245447,7464513,4717067,2841768,2841767,4717064,7464503,11245428,15991866,15991865,22102001,29434483,29434513,29434512,22102174,15992014,15992017,11193053,7426818,7426817,11193051,255459397,256383728,22251943,22251944,22102148,22101915,15991798,15991799,22101917,22251937,22251938,29601641,23199586,16930510,16930511,22102130,22952108,22952107,26621588,26621589,34610303,29434584,256381525,47913143,59307247,72042599,73348159,86959666,86959667,100943400,99580251,86959674,73348165,60603151,60603152,73348166,73348161,60603148,60603150,63540104,51761399,51761398,61344866,61344865,51761405,41490913,39837871,31154968,23667217,17349129,17349130,23667220,17349141,12221615,8251440,5322913,3271382,3271383,5322920,8251450,12221630,17349168,13101286,8928706,8928705,9200034,9200035,13452938,18878138,23883844,25479904,25479901,18878029,13452860,13452859,13452959,18878019,15395693,10640424,10640426,10640418,7024601,4418148,4418147,7024597,10640405,13452971,9200052,9200053,13452975,18878190,22710148,21377384,21377383,21377441,21976321,21976322,29303828,22226610,22226609,25480034,33228618,256235228,25480202,18878143,18878142,25480132,23197697,23197698,30618935,33228814,25480241,25480240,33228813,39272918,30676518,30676519,39272920,49199078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8296881, s2 = 14164601, dlinesl.size( ) = 2 s1 = 8296881, s2 = 14164601, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8296881, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9490872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9490872, s2 = 8197520, int(edited[s2]) = 0 s1 = 9490872, s2 = 8197520, d1 = 17, d2 = 12 Dl.O(d1) = 72453125,59716926,59716927,61331438,58680626,48331559,38425477,29861336,22498399,22498345,16324227,16324228,22498349,29861286,38421257,29861914,22499164,22499163,21081426,21081428,22496785,16322810,16322809,22492595,22492594,29856956,23569836,23569835,22484091,22483198,22483199,29848785,29884505,29350046,22018324,22018323,254164302,11351142,16315201,22487926,29342717,22010651,22010650,22528924,22528925,22527963,16355194,11381702,7561800,7561801,11381704,16355201,12210517,11364285,8203875,8203877,8204054,11358536,7546485,7546482,11358530,12200476,12200478,16340972,11375439,11375440,8344198,8344200,9108581,9108580,8212051,8212050,12180286,17302345,16347975,16337808,11367406,11367407,9108592,9108593,13330890,18726146,21098898,15155467,15155469,21098903,28308807,29868549,29870089,22510791,22510792,29870091,23589189,23589190,28312962,22510683,22510682,17277409,12157049,12157048,12157062,17277439,23589232,20126288,20126291,15158606,10454008,6891124,6891123,7081233,10718156,15498342,21506545,267888868,36807745,31635715,24128662,17765450,12571614,12571615,11457771,8525685,5524362,5524363,8525690,5524441,5524442,8525814,255195209,24128745,31635818,257091621,258283745,61836335,61836336,58128600,58128601,46760272,36881478,255813129,10491705,6918370,6918371,10491706,15209621,21166787,28384845,256840965,58128623,49418886,39489336,39489337,49418887,60818816,60818817,60818818,73565203,73565199,73565198,60818812,60818811,258846193,70843013,70843012,257471065,37542852,255855801,4517569,254228801,894594,254228803,4517572,268746220,28728584,28728583,37260504,47166363,48172351,48172350,53081496,65064269,65064270,62199317,62199316,75020287,88669214,102677542,106897222,121164189,258455096,99980374,86019738,72422565,72422566,86019739,99518737,113529816,99518740,85572096,71985026,59247829,47851247,37931370,37931369,37931371,47851249,59247825,258109557,259358323,113529814,127399578,260653340,86918122,86918121,73307754,60564347,49164702,49164701,60564346,73307752,71789018,71789016,59047438,59047439,71789015,270829213,85378384,99323072,113326163,127185354,140531748,140531749,137388016,123656869,109464367,109464366,123656868,259162928,99814601,112644354,258533982,72269401,59535350,59535349,269193418,59535351,72269403,72269397,59535345,256748160,38239014,29674003,254977858,11244379,7463827,4716707,2841598,2841599,4716709,7463831,10708562,7074619,5398473,5398472,8364106,12377648,17547481,23893646,18998871,18998873,25611954,255645533,13207633,13207634,18585831,25140768,23389443,23389444,17117608,12029136,8087064,8087063,12029133,17117602,23389439,30818638,39423679,49353344,60756400,73505434,73505464,87124222,100923590,86941075,73330501,73330500,86941074,86941080,100923595,114977547,128880157,142232296,259995420,258752428,89466410,75701494,75701495,258129376,117699520,259995422,131505420,131505419,144731582,157130714,153917372,153917373,147837390,134710913,134710912,122284698,122284699,257862456,90889930,77010599,63899620,257267790,86019832,72422659,255307016,72422658,86019829 Dl.O(d2) = 99154427,85232274,85232273,86078352,100041238,87786936,74182629,61402658,61402659,59745937,48362549,48362548,59745933,61264853,49785687,39765997,31087553,23603251,23603253,31087559,39766005,49785701,61264863,60739948,60739949,256483204,37502340,255147434,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,13437356,18859832,13437299,13437298,18859828,25459645,30732948,30735248,30735247,34293355,34293354,43393134,49336717,39407372,30802753,23375082,23375081,30802751,28959531,28959530,37502326,46289404,36436535,30733159,23314185,17051101,11961723,11961724,17051106,23314197,30733173,39331396,47201750,37293717,28759977,27977811,20814282,20814281,255981270,37502333,39331167,39331165,42167502,33207437,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,255976941,39331116,39332994,39332996,40799619,40799620,39332066,30734031,29534677,29534678,38098746,48010093,59398218,59931128,49257310,39330958,30732674,23313758,17050812,16024657,11126344,7379943,4662387,4662386,7379940,11126336,16024648,22142430,17050565,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,29678304,24431622,23314879,23314878,30733945,39331994,39332546,49258127,59348015,270317657,39331049,38043654,29480465,22142857,16024893,16024895,22142864,23313333,17050499,17050498,22142732,29480301,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,255845960,256167163,40180893,31496203,255964188,23315678,23315679,30734849,39332668,47957964,49258102,50203855,50203854,61686758,255043258,37392417,28852163,25131601,18578728,18578730,25131603,19812877,14191800,9755847,6414682,6414681,9755844,14191796,19812868,270548228,257885087,80312438,256754096,254693986,254474124,254474122,73191020,66975973,54717027,43973246,43973247,43898697,43898698,54641848,66899275,257286916,80312438,94368723,260662261,86853302,258198703,49090336,39160594,30563156,23146103,16885817,11814983,267899501,566400,317205,317204,175766,175765,317996,567751,1007339,1767755,2005507,1936938,1936939,1313720,749846,426196,426197,749852,1313727,2043632,2043630,1180994,663319,367967,367961,663305,1180972,2058276,2941193,2234800,2234798,1705653,1705654,1990781,1990780,3380966,2041916,2041914,3380040,254281813,2043716,3441568,5515544,3439253,2255356,2255355,3764275,254277527,2008596,3405481,3455040,3455041,5357254,3455372,2048066,1174435,659293,365438,365439,659300,644587,644588,651405,1141420,1942207,1141395,640289,640291,659611,1175005,2048917,3456384,3378145,2018754,1163341,1141969,1141968,652835,652837,1163360,1295616,739477,739476,1295611,2234183,3731781,5532676,3442047,2037205,1167104,1167105,2037209,3415092,2015876,2015875,3415091,5021780,254274859,1135262,636988,636987,1135256,1987055,3376051,3376049,5020916,5018731,3380506,1990422,1990423,1990413,1765764,1765763,1136437,1136438,1171356,254192767,3449831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9490872, s2 = 8197520, dlinesl.size( ) = 8 s1 = 3156075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3156075, s2 = 4430754, int(edited[s2]) = 0 s1 = 3156075, s2 = 4430754, d1 = 89, d2 = 0 Dl.O(d1) = 99520099,113531567,127401751,140757552,153437681,165237683,165237684,175941047,185425770,193702401,200798887,206787846,211736342,215779843,219123777,221946874,224370988,224370987,224370988,226476552,228310607,229920239,231348568,229920240,229920236 Dl.O(d2) = 174859270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3156075, s2 = 4430754, dlinesl.size( ) = 2 s1 = 3156075, s2 = 4430754, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3156075, Dl.E( ) = 98, 4.2e-05 seconds used appending s1 = 8241555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8241555, s2 = 10992212, int(edited[s2]) = 0 s1 = 8241555, s2 = 10992212, d1 = 2, d2 = 59 Dl.O(d1) = 47863554,59259575,258734141,99529672,113540985,113540993,113540994 Dl.O(d2) = 39065045,30473204,23063051,16814458,11757872,11757871,7851827,4983772,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983581,3010370,3010372,4983647,7851487,11759540,16816596,11764492,11764491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8241555, s2 = 10992212, dlinesl.size( ) = 28 s1 = 6808511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9149832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8347332, s2 = 11072180, int(edited[s2]) = 0 s1 = 8347332, s2 = 11072180, d1 = 40, d2 = 61 Dl.O(d1) = 127450134 Dl.O(d2) = 46586957,36700214,28209249,21016220,21016219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8347332, s2 = 11072180, dlinesl.size( ) = 28 s1 = 3906553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6765511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10154110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154110, s2 = 13965184, int(edited[s2]) = 0 s1 = 10154110, s2 = 13965184, d1 = 22, d2 = 20 Dl.O(d1) = 71262414,58530670,58530669,57834948,46479067,36612870,28139305,20961290,20961291,28139313,35334709,30627326,23204686,23204685,30627323,31581902,24076261,24076262,28706641,21452058,268072133,7058271,4443564,4443563,7058268,10684785,15453685,21452033,28706606,35165289,27077601,27077602,28904939,21630637,15599572,10791538,10791539,15599574,21630639,28904941,37444287,47350910,40268814,31581898,24076259,17719517,17719518,17872799,24250070,31761931,40456327,50492181,61769798,58530410,58530411,71262206,74780143,62853333,51204073,51204066,51204067,62853328,64572873,64572872,77755379,78434179,65152177,61984034,50492173,40456320,40456319,50492171,40503400,40503399,50538578,62030093,54596751,54596750,256919884,66011012,59049222,47647866,37725889,37725888,47647814,37725832,37725833,47647797,37725815,29165821,29165820,37725811,256298176,59049191,47647963,37725956,29165945,29165946,37725959,47647969,59049349,63612613,63612614,76703297,85215721,85215720,85215725,85215726,71790882,256836896,47648112,59049474,71790264,63612714,63612715,71649853,59049261,47647901,47647902,59049265,71790326,71790319,59048858,47647506,37725555,29165610,21856668,21856666,29165608,37725550,47647501,59048845,59048827,59048826,71790295,255380996,67547643,55203938,55203940,67547645,58780415,47393364,47393365,256836908,32654464,24981893,24981891,32654452,41543178,37485569,34975724,256298236,55203940,67547645,58780415,47393364,37485705,28943702,28943703,256886137,58780417,71509545,71790925,85379881,76703532,76703533,85081431,85081433,71790922,59049514,59049513,58780201,47393124,37485517,37485518,47393127,58780206,47393175,37485553,28943602,21664815,15629072,10815249,7147411,7147412,10815255,15629079,21664822,28943609,28943674,21664856,15629095 Dl.O(d2) = 258992723,257163721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6427912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6427912, s2 = 1414861, int(edited[s2]) = 0 s1 = 6427912, s2 = 1414861, d1 = 24, d2 = 47 Dl.O(d1) = 254235740 Dl.O(d2) = 36751665,269771236,24329090,24329089,20924368,15016733,10344812,6810624,4271646,4271645,6810619,9206887,9206884,9206993,11792305,7874526,7874525,11792300,16860025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6427912, s2 = 1414861, dlinesl.size( ) = 40 s1 = 9235018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10243726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8350897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346214, s2 = 2861122, int(edited[s2]) = 0 s1 = 10346214, s2 = 2861122, d1 = 85, d2 = 63 Dl.O(d1) = 58169824,46802519,36924418,256844649,258141046,22604726,29969747,29969748,29969732,22604709,16421708,16421707,22604708,29969729,23908229,17564510,17564511,23908230,29794290,22428239,16261344,11305878,11305879,16261348,17457792,12307175,8312755,5363834,5363833,8312752,12307169,16723697,22959537,23788923,17457784,17457782,14219929,14219928,19848270,23893623,17547459,12377632,12377631,11122706,11122704,16019492,22135676,29471757,31400821,30251115,30251113,32828505,254598934,52062924,256026088 Dl.O(d2) = 85637456,72049813,257654630 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8702672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8702672, s2 = 14161136, int(edited[s2]) = 0 s1 = 8702672, s2 = 14161136, d1 = 21, d2 = 14 Dl.O(d1) = 72416353,86012809,99972300,113996034,127874572,141234020,261186776,113996029,113996028,127874566,141234010,153905889,262725989,153905891,141234011,141234007,127874563,113996032,113996031,127874569,141234014,261186774,127874570,141234016,272864103,273297041,162601308,150475346,137437752,123707605,109515842,109515841,123707607,137437756,150475348,162601312,173628749,183420509,191980154,199343166,191980141,191980142,264133783,273830531,210725065,205572718,264426593,191980144,183420497,263805803,205572719,205572721,210725070,214934208,218396781,217755880,214116568,209683848,204281152,197805751,263893022,197805756,193772749,185507699,176036555,165344549,153553932,272206527,99639115,259069870,257824436,256674802,29505795,38069288,269336585,85690247,72104406,72104405,85690245,85690239,72104399,59371738,47981497,38069273,38069272,257508331,47981499,47981498,269318545,28811035,21543212,15526460,10738178,10738179,15526461,21543213,28811037,37349617,37958270,29393677,29393678,37943299,29377915,23120281,23120283,25533004,18922202,18922203,25533005,33294339,33294342,25533009,25533008,25533007,25533006,33294340,42275468,52662631,47195646,47195647,58587017,71320465,73218909,86831612,86831614,86831615,270388490,258891276,86831613,100812905,114864476,260130386,261235711,154752187,154752186,272606246,177042263,185479995,185479996,262820274,273387498,186399554,262731638,166804406,166804408,155110312,142466135,271809932,101081918,101081920,260678351 Dl.O(d2) = 261669950,175422572,273334918,184967193,263110918,175422570,262669688,152827336,140132859,140132858,152827334,164663919,159238922,146865697,133609198,133609199,146865700,159238926,146865713,133609212,133609211,260123822,133609215,133609206,119735726,105497458,105497459,119735727,119735744,105497473,91275288,77355398,77355400,77355393,77355392,91275279,105497461,119735732,112435833,105497437,105497438,119735705,133609185,258262464,105497480,256523904,64207789,52357571,42018435,33074369,25344280,18763596,13361293,13361292,18763594,18763611,18763612,25344298,25344299,33074383,42018449,52357587,61675154,50191300,42305036,33324369,33324368,33320956,33320957,42301602,42305038,33324370,25563097,18951471,13514925,9247715,6056526,3789737,254447211,3789738,6056529,9247722,13514933,18951483,25563115,28914116,21639866,15608206,10798470,7134781,4491866,2698688,1563367,1563369,254338189,2698710,1563377,888780,888779,1563374,2698706,4491894,7134831,10798544,10798546,15608316,21640013,255849491,28914263,37453545,47359775,58746718,61386217,58746722,47359772,47359773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8702672, s2 = 14161136, dlinesl.size( ) = 2 s1 = 8702672, s2 = 14161136, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8702672, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 8451009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7109994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7109994, s2 = 14623010, int(edited[s2]) = 0 s1 = 7109994, s2 = 14623010, d1 = 12, d2 = 21 Dl.O(d1) = 262703444 Dl.O(d2) = 258739036,59339826,257503568,29471923,26058196,26058197,256273290,36463884,36463885,46316657,57660933,48434230,38526305,29960792,22596161,16413062,267978523,7597666,11428895,16413066,255535204,11471091,7630046,7630047,11471095,16463583,22656638,30030900,38604563,42378347,52777255,52664922,47279414,37369821,28829701,28829700,37369817,42378350,37830770,29265059,21943340,15854824,268218231,29265060,37830772,42277529,52664902,52664817,42928261,33882102,33882101,34654034,43927346,54669800,61644213,50160477,256530623,23961717,23961715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7109994, s2 = 14623010, dlinesl.size( ) = 8 s1 = 14623009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14623009, s2 = 7109995, int(edited[s2]) = 0 s1 = 14623009, s2 = 7109995, d1 = 21, d2 = 14 Dl.O(d1) = 40901528,40901530,256530622,37719771,47641787,54611763,43869008,34598697,34598696,38275318,29708615,22353375,16202119,11262894,11262893,16202116,268218230,28412104,28412103,28412136,36909484,33739206,25932170,19269942,19269943,25932174,33739191,25932160,19269937,19269936,25932148,25932150,23403125,17130236,12038662,8093418,8093417,12038658,255535205,30831272,26629666,19818380,267978522,21955845,29280658,37848417,47771554,46355411,36497435,28034623,20866840,20866839,256273291,46355407,37993564,37993563,257503569,72040138,258739037 Dl.O(d2) = 262703445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14623009, s2 = 7109995, dlinesl.size( ) = 8 s1 = 6756519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8538610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8338694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6772511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3163154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3163154, s2 = 14057610, int(edited[s2]) = 0 s1 = 3163154, s2 = 14057610, d1 = 10, d2 = 28 Dl.O(d1) = 99661030 Dl.O(d2) = 60745995,49344292,49344293,43875311,43875312,39414654,257029075,43874254,43874255,43875314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3163154, s2 = 14057610, dlinesl.size( ) = 2 s1 = 3163154, s2 = 14057610, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3163154, Dl.E( ) = 48, 1.79e-05 seconds used appending s1 = 8508542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8508542, s2 = 14165335, int(edited[s2]) = 0 s1 = 8508542, s2 = 14165335, d1 = 8, d2 = 7 Dl.O(d1) = 261290776,153572779,165361692,153572772,261290774,153572778,140899139,127544504,113673839,113673840,127544507,140899140,140899137,127544503,113673838,99661111,99661110,99661112,113673840,127544506,140899141,272261990,176051761,176051760,165361696 Dl.O(d2) = 103850555,117995945,131823861,145083082,157517758,168981338,179268122,188319629,196203027,202947844,273981533,200453694,193300041,184965730,175421281,164662861,152826302,140131916,126781474,112926943,98937555,85012020,71439221,58707802,47318928,37410505,28869270,21594432,21594431,28869268,27271450,20335737,20335738,255669084,19853775,255265474,17424965,12281634,12281635,17424966,23020609,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631507,11473532,13915413,255705767,33982878,37959026,32600686,268959327,22821073,22821074,30213066,31839812,40537674,39203047,39203046,37778446,37778447,47698612,59096392,71835937,85423273,99365782,113367121,127225218,140570538,153251878,165069157,175798976,185308934,187473493,178259447,167816979,156222816,143692407,143692406,130365615,116527197,102430201,88428678,74796644,62000218,50508778,40473497,31778902,24266348,17887640,254260656,11188492,16107731,16107655,16107656,20347705,14604756,10049553,6603763,6603762,7679272,11542709,16559899,12919919,12919918,18215576,13962451,13962452,19506839,24654397,18196476,18196475,14605106,14535798,10001217,10001215,11338957,7535160,7535161,11338962,16297032,20869305,20869306,28037342,27286247,27286248,35411192,44836380,55744277,68142340,257997214,258621296,123615272,109421136,95164642,81105924,67639805,55301531,44457007,35082115,26997221,20106152,14416104,12998374,12998375,17477493,12322357,8323205,8323206,12322359,17477496,23811370,17477488,12322353,12322352,17477487,15429519,15429520,21420395,28666628,24563612,18124223,18124222,24310305,31827674,40524762,37205924,28682262,28682263,37205926,269314343,47102516,53233147,42782067,33751430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8508542, s2 = 14165335, dlinesl.size( ) = 2 s1 = 8508542, s2 = 14165335, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8508542, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 8489132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9161603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2866188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2866188, s2 = 3163812, int(edited[s2]) = 0 s1 = 2866188, s2 = 3163812, d1 = 5, d2 = 6 Dl.O(d1) = 85756096 Dl.O(d2) = 99710170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2866188, s2 = 3163812, dlinesl.size( ) = 2 s1 = 2866188, s2 = 3163812, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2866188, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 3163925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6801408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3333550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3333550, s2 = 10182206, int(edited[s2]) = 0 s1 = 3333550, s2 = 10182206, d1 = 9, d2 = 6 Dl.O(d1) = 99714473,112108647,107753698,258473818 Dl.O(d2) = 257261992,38122068,38122067,257512381,43257067,43257068 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8539020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8539020, s2 = 10342902, int(edited[s2]) = 0 s1 = 8539020, s2 = 10342902, d1 = 18, d2 = 0 Dl.O(d1) = 261713568,261713570,127597486,113729023 Dl.O(d2) = 22716438,255811219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8539020, s2 = 10342902, dlinesl.size( ) = 20 s1 = 3164216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3166139, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 96351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 96351, s2 = 6809959, int(edited[s2]) = 0 s1 = 96351, s2 = 6809959, d1 = 33, d2 = 30 Dl.O(d1) = 254965771,2417375,2417377,2417724,2417723,1399586,796617,451567,254450,140827,77090,41959,23159,23160,41964,77101,140849,254479,451612,796700,1399735,1400075,796903,796904,1400078,2418704,254467123,9786566,6510224,4079572,2440922,2440917,4079560,254295420,14400402,20084715,26970438,34694148,254986846,54701060,255533828,255533830,14952397,10286342,10286341,11953516,8001970,5094226,5094228,8001941,8001940,7072861,4452991,4452990,7072858,10705724,10705736,10705735,9536873,9536875,10618935,10618936,15368592,19857925,14234613,14227087,9780427,9780425,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,5875941,9000225,258379289,261414537 Dl.O(d2) = 258748694,34696374,26701776,26701777,21227012,255536980,28505711,34639371,26647887,26647886,25564437,268103814,9248992,8403995,8403994,5422973,3333735,1960660,1960659,3333731,5422969,6532920,6532919,8366477,8387542,5412456,5412457,8373128,8373127,12390364,8383597,8383598,7269367,4584282,2758094,2758091,3325592,1955899,1955897,3325606,5409815,5400213,3797086,2274340,2274339,3797079,4716858,4716856,7464136,11244874,16178087,12398473,8378940,8282580,5401054,3320806,3320805,5401047,8368624,12384363,17554875,23159540,16898288,11825720,11825721,13063131,13063132,18390965,13523013,9254471,8387763,5412589,5412590,8387767,12410380,17545991,23892391,17547749,12408370,8386293,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345773,8286488,12271180,12675831,8608368,8608366,10701834,10701837,15475599,17550800,17550798,17576034,12404173,8383036,8383035,12404167,16560768,22776042,16561689,16560916,16560917,16494334,11492138,7643418,4835469,4835465,7643390,9246064,6055601,6055600,9246061,12406019,8384636,8384637,12406022,255037648,31409456,40089420,50109936,40089417,40089418,50109937,61589929,258061532 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6809960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6809960, s2 = 7017410, int(edited[s2]) = 0 s1 = 6809960, s2 = 7017410, d1 = 19, d2 = 20 Dl.O(d1) = 258748695 Dl.O(d2) = 261414536,258379288,3955674,2368826,1371263,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,13607757,19061432,19061366,19061367,18738698,13339827,9114239,9114238,13339824,17517018,14581966,14581967,20319066,20319059,14581958,14581959,20319062,27251947,28759829,28292855,21085953,21085954,19305162,13803265,13803266,19305165,255533831,255533829,20319644,254986847,6594342,4131312,2471308,2471307,254295421,1275649,729733,729738,1275661,2195772,2968219,254467122,11657228,16696548,22931182,16827272,16827273,19861564,14229794,9782194,6431487,4034764,2417908,2417907,4032408,4032407,6427360,9775267,14218923,19846945,19855960,26673007,29257004,21936308,15848673,10983673,10983671,254965770,47743997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9465929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9465929, s2 = 15118945, int(edited[s2]) = 0 s1 = 9465929, s2 = 15118945, d1 = 19, d2 = 13 Dl.O(d1) = 85795498,85795499,99749341 Dl.O(d2) = 13974012,19521198,26238471,27226291,20297632,14565906,10022969,10022967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9465929, s2 = 15118945, dlinesl.size( ) = 26 s1 = 11658950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9353657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9353657, s2 = 7702698, int(edited[s2]) = 0 s1 = 9353657, s2 = 7702698, d1 = 5, d2 = 25 Dl.O(d1) = 255938236 Dl.O(d2) = 254245624,4907913,7749615,11632737,16666719,22896948,30295540,34009876,26168054,19467350,13932224,13932225,19467354,26168063,34009890,43067723,44605488,255504448,30256500,22861188,22861187,30256498,255947938,43067826,42456942,33463829,268236128,34009793,30295521,22896939,22896938,30295517,38881314,43067809,43345926,48803387,38881354,30295544,30295542,34009798,30295514,30295513,38881310,48803357,53546840,48803072,48803073,43067754,34009928,26168082,19467364,13932231,9563085,9563086,13932237,19467373,26168095,30256569,30256570,30256558,22861222,16634603,16634604,22861193,22861194,30256508,38840005,48759460,43067791,43067790,53546812,53546671,43067647,34009827,26168031,26168032,34009831,43067633,48759410,38839958,38839959,48759414,43067739,43067738,53546768,65571573,60324523,48925897,39001824,30412366,23007263,23007264,255680596,48925906,60324530,71945487,59206576,268629144,29315004,29315006,37883811,47807238,48373070,48373072,48759502,44643050,44643051,38623608,30049851,30049850,256146058,48759351,60153240,60324541,48925918,39001838,30412373,30412372,39001836,32975044,25252337,18681546,18681547,25252342,32975053,41915012,41606828,41606827,35258554,27159377,20247506,14529389,9997677,9997675,14529385,20247495,27159358,35258524,44643121,55493210,67834524,59165289,47766576,47766577,59165291,67834414,55493050,44642957,35258413,27159295,27159296,35258416,38637543,30063341,22685693,22685694,30063343,38637548,48552069,59944206,59944335,59944334,67834386,72683112,270336027,86282078,72683074,59944225,258161163,269352923,48552391,48552181,38637667,30063425,22685733,16486422,11486835,7640133,7640132,11486833,16486416,22685721,23753691,17427628,12283514,12283515,12283543,17427669,23753752,30063582,38637863,31237019,23753797,23753798,30063325,30063326,31236951,38637918,30063627,254890094,39912469,39912275,31236804,23753614,17427584,17427583,23753611,17427637,12283525,12283524,17427645,23753720,31236930,39912406,40416401,38637508,38637509,39297189,268462944,17024797,17024796,23283926,30699576,30699602,30699601,31724526,24217625,24217626,31724531,28931035,28931036,23753814,23753679,17427620,17427621,23753681,23283960,17024821,11939846,7991003,7991004,11939847,17024825,23283967,30699627,39297249,47766626,37844054,29277150,23284037,23284036,254890112,17024859,17024858,16486531,12627516,12627512,12627513,17832989,24202528,24600750,18153216,12872703,12872704,18153217,24600754,32188248,31236842,23753649,23753650,24602448,32190227,29277048,29277047,37843972,32190213,32190212,32190228,30699507,30699509,25208887,25208886,32923729,41853257,254626874,30699512,23283885,17024763,17024764,21953217,15862281,10994353,7278125,4590055,4590054,5086168,5086169,7990999,11939832,17024786,23283910,30699556,39297156,31710217,24202523,24202524,24600747,18153212,18153211,21827001,29134108,30699538,23283902,23283903,29737736,29737735,31437328,25199162,18636554,18636555,25199166,25204728,18641149,13778217,9446229,6192678,6192679,9446235,7486138,7486139,9042623,9042624,11277622,7486181,7486182,11277626,16223045,14513435,14513434,20225411,22379579,19274166,14513449,14513448,20225427,20225432,22379734,16222976,16222977,22281492,29633721,29633865,22281777,16137809,16137805,22281771,29634051,38200870,48112047,59500165,72235609,85828017,99781363,260594159,141012171,273122444,185599414,263899395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9353657, s2 = 7702698, dlinesl.size( ) = 2 s1 = 9353657, s2 = 7702698, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 9353657, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 13578289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13578289, s2 = 6639188, int(edited[s2]) = 0 s1 = 13578289, s2 = 6639188, d1 = 15, d2 = 7 Dl.O(d1) = 85835026,99787790 Dl.O(d2) = 256843405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13578289, s2 = 6639188, dlinesl.size( ) = 24 s1 = 3686797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10193126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2549640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8690984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2621724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2621724, s2 = 14164848, int(edited[s2]) = 0 s1 = 2621724, s2 = 14164848, d1 = 23, d2 = 21 Dl.O(d1) = 39160451,30563048,23145999,16885713,16885712,23145997,30563047,39160449,257590613,51195097,41039093,32246699,24648376,24648375,32246696,39067043,30474903,23064551,23064552,24648362,24648360,24648355,256074407,39067014,30474887,30474888,39067016,48991007,60388934,65149434,55440968,55440967,48991005,48991006,60388942,71972511,59234839,47837545,47837544,42715409,42715408,37916256,35210678,29347294,29347293,37916240,32842721,32842720,37916265,37916264,47837556,59234852,63893934,52075698,52075699,60388949,60388948,67784165,73129692,84642464,81253487,67784160,67784159,71972523,59234847,47837554,47837553,59234845,67810059,55468284,55468283,67810057,257136408,75808744,76972062,63860399,59969794,48578065,38662111,30084903,22703087,22703088,30084904,38662114,47165445,58554384,71286495,59969793,58554413,47165472,47165473,58554414,59969783,72706878,86303876,271349697,260027322,90850715,90850714,105030121,109591170,95336507,81277684,74135384,258539892,61353796,60646685,60646681,60646680,73393291,259457549,99863587,85908074,72314647,258323556 Dl.O(d2) = 60493949,73240880,86853710,100834550,114884894,112785639,98793356,86059803,72461566,71290744,58558803,58558804,71290747,84865025,91532466,91532465,100531999,100531998,86571028,77601687,77601688,72973185,72241533,59506849,48119300,47169965,37263965,28731777,28731776,37263963,47169961,48119305,58558795,58558793,48119366,48119368,59506939,59506831,48119283,48119284,59506833,72241521,61543556,61543555,59506964,59506962,72241523,71290785,59506944,59506797,48119250,38208821,29642331,22290540,22290539,29642330,255735896,29642288,38208838,48119268,48119342,38208886,38208887,40046226,40046227,48119259,48119258,48119356,38208898,29642324,22290536,16146247,11217199,7442782,4702676,4702675,7442781,11217197,16146239,22290519,29642296,38208849,48119274,38208940,38208939,48119408,59506974,59506742,59506743,255735910,59506922,59506815,48119264,38208834,38208835,48119265,59506740,72241427,85833479,86424853,72829868,60092545,48696171,38773919,38773921,48696173,60092548,52863465,52863464,48839260,48839261,60233594,257822778,60092552,48696175,38773922,30190239,22800350,22800349,16657220,16657219,18980391,18980390,18980383,18980382,16570561,11555629,11555627,9115923,9115920,7695600,7695603,7091533,7091532,10733121,7692220,7692219,7696369,11563692,16583389,22800352,26126980,19432361,13904275,13904274,16653710,16648024,11616048,267896367,2951554,2951553,4897426,7735343,11414976,11409523,7581599,7581602,5966107,3730804,2233617,2233615,3730798,4817867,2903408,2903409,4817872,4863902,4816815,4816814,4820906,7601432,6812866,4273260,4273259,2555245,1471862,1471863,2555252,1709427,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,5684241,5683730,4803550,2895188,2895190,4803552,5683466,5683465,8729984,255200190,10029770,11451066,16435852,22620509,29987927,38557576,46373296,46373295,48470330,57723509,46373311,46373310,57723507,70418479,73623278,73623279,73623285,256836494,268624796,53818415,53818414,49789972,39770263,31092127,23608555,17296135,17296136,23608557,31092130,39770269,49789982,55224290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2621724, s2 = 14164848, dlinesl.size( ) = 2 s1 = 2621724, s2 = 14164848, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2621724, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 3171813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3171813, s2 = 5156872, int(edited[s2]) = 0 s1 = 3171813, s2 = 5156872, d1 = 6, d2 = 39 Dl.O(d1) = 99864123 Dl.O(d2) = 214579506,263833490,204990889,262623918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3171813, s2 = 5156872, dlinesl.size( ) = 24 s1 = 6877096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9127796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8654492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8654492, s2 = 8509352, int(edited[s2]) = 0 s1 = 8654492, s2 = 8509352, d1 = 16, d2 = 14 Dl.O(d1) = 165578881,153797414,141124255,127767089,113891594,113891595 Dl.O(d2) = 19171898,25822360,33623343,42651603,53102815,65089190,65089189,78372350,92409076,102315864,102315863,116408272,130244866,120966600,106714401,92409150,78372467,65089283,53102822,42651606,42651605,53102820,65089278,78372462,91173864,86221766,78372343,78372342,92409068,86221810,72623138,72623139,86221812,92409204,258439123,53102869,53102866,42651628,33623354,33623353,42651622,53102857,53102752,42651568,33623323,25822352,25822353,33623334,42651591,53102797,65089194,53102765,53102766,65089197,78372356,92409036,106714333,120966577,120966582,114217331,100185513,86221828,72623150,72623151,86221831,100185475,86221780,72623105,72623104,78372378,78372377,72623095,59884408,59884409,72623099,72623129,59884434,59884433,72623142,86221818,78372370,65089211,53102779,53102778,53102794,65089240,78372420,78372334,65089171,53102744,53102743,53102800,53102799,258439117,65089207,53102774,42651578,42651576,53102771,65089159,65089158,78372315,92409040,92409063,100185505,100185506,86221841,72623162,59884441,59884439,72623157,72418009,72418010,86014255,92409092,78372382,78372383,92409096,86221784,72623109,72623110,59884428,59884427,72623134,78372509,92409197,106714427,106714342,92409117,78372413,65089236,59884418,59884419,72623120,86221789,92409044,92409043,92409055,92409057,84399007,84399006,89540451,75765605,62808304,51163800,51163801,62808307,62808308,65089163,78372319,66006423,53935772,53935773,60696960,72623182,59884454,48492501,48492500,59884451,72623171,86221854,85917726,85917723,92409088,92409089,86221745,72623070,59884390,59884391,72623074,86221749,86221804,100185489,114217324,114217336,106714417,92409180,78372497,65089314,53102845,42651616,42651615,53102840,65089309,78372490,86221799,100185487,103648730,89540462,75765611,62808315,51163808,41011514,41011515,51163810,62808319,75765614,89540466,86221845,72623165,59884444,59884445,72623169,86221849,99872977,85917745,75765632,75765633,85917730,72324470,72324469,85917728,84712962,72623076,59884392,48492479,48492481,59884399,72623086,71142988,71142989,65128633,65128632,78410168,92445738,106750363,106714415,92409177,258142786,92409170,78372505,78372504,92409191,106714424,98308065,84398997,84398998,75765608,62808311,60696964,49295572,49295571,60696961,73444866,87062366,84712972,71143010,71143007,84712968,98643341,85917750,72324484,59590031,48203578,48203577,59590025,72324476,75765635,62808329,51163817,41011518,41011520,51163819,62808334,75765640,84712938,98643323,99399150,88354880,74726665,61932918,50442176,50442177,61932922,74726668,88354886,92409173,102586346,98308072,84399003,70841804,70841803,84399000,84712945,71142992,58421242,47046366,37155546,28639783,28639784,37155549,47046373,58421254,71143014,84712976,98643350,112640060,99973606,86014223,72417966,72417969,85917733,99872971,103648745,89540482,75765623,62808323,62808324,72324461,65748148,53691520,53691521,65748154,71873748,85458338,86157799,72559511,59824190,59824191,72559513,86157802,100124046,106714413,120966605,116688026,102586336,102586335,98643345,98643347,95664362,84712951,84712950,98643333,98643335,84712955,71142998,58421246,58421245,58421247,71143002,84712958,98643337,99872973,88576264,74934506,74934505,71142979,58421234,58421235,71142983,84712936,98643316,89540468,89540469,103648736,259729882,128992530,115066734,100996035,87002761,73387500,73387501,74787347,88418992,102419444,259098908,116688022,116688023,126504845,259098912,259098910,269887500,53691645,53691644,65748341,79104076,260347245,135923814,259729880,114157927,100124018,86157759,72559472,72559471,86157753,73387513,60641275,60641274,73387508,87002763,100996043,102586329,88576281,74934516,74934514,88576277,102586324,112640049,100124057,86157830,258469664,59824228,61777938,72559553,74934510,81630952,68140836,55742936,44835066,35409765,35409764,44835063,55742930,68140829,72559480,86157768,88576293,88576292,79104054,65748326,65748327,79104056,258776256,100996085,115066763,128992537,115066756,100996072,87002799,73387556,73387523,60641282,49240639,49240638,60641277,73387518,87002771,100996048,107623455,93220545,79104093,65748356,65748357,79104097,83962160,72559549,59824232,48438233,38530183,38530184,48438234,59824235,70435919,57741467,57741465,58690859,71423820,81630927,72559504,59824180,48438193,38530165,38530164,48438189,59824173,72559493,86157788,100124030,100124039,95351577,81295371,67829553,55488412,44638461,44638462,55488417,67829559,81295373,87002778,73387546,60641289,49240644,268643166,73387537,60696891,49295504,49295502,60696890,73444791,85955822,72360334,72360333,83962158,72179007,59440538,48048728,257513697,72179010,71423825,256406334,37390964,37390963,47300189,58690855,71423817,72559476,59824160,59824161,59824166,72559484,86157778,87002813,98944764,112934206,114157936,123791662,109603839,100961342,86977021,73365688,73365690,86977029,100961346,100996058,87002785,87002787,100996061,101058015,87062283,73444779,60696882,49295499,49295498,60696877,73444774,87062274,85955813,85955812,85773345,72178995,59440534,48048726,256667556,72178998,62050620,50558248,50558249,62050624,74848795,70844041,58129620,58129618,70844036,84401377,98310754,109603833,109603834,109486479,95233132,259792509,88010037,270875240,109603846,95351584,81295376,67829565,67829564,73444769,60696873,60696872,73444765,87062262,101058002,101985450,95351555,81295354,81295355,84397606,70840129,70840130,84397615,84397617,84397618,98306724,112288992,101985246,88009796,74404584,61626032,61626033,74404589,81295380,95351594,101058050,87062340,73444830,60696937,60696938,73444835,87062345,88010055,74404808,61626208,50144421,40123343,31443942,23952256,23952255,31443938,40123331,257659237,74404761,81295590,75955345,62973877,51297294,41116195,41116196,51297297,62973883,75955349,89734253,81295600,81295599,89734248,88010021,74404764,74404763,67829776,55488600,55488599,67829773,67829743,55488573,55488571,67829739,81295384,81295385,95351597,95351604,95351605,109603854,259683216,86200400,72602945,72602946,86200404,95351739,269518034,67829755,55488582,55488583,50144386,50144387,44638636,35254144,35254145,257324679,67829802,81295595,259800113,270664215,67829768,55488657,55488656,257923963,259172991,81295393,67829580,270141569,59865000,55488437,55488438,257923955,44638608,35254123,27155182,20243718,20243719,27155185,35254127,269091960,67829762,67829800,75627314,67829494,55488370,48473486,48473487,59865037,55488632,44638647,35254150,27155195,27155190,20243730,14526093,14526092,20243725,20243741,27155212,27155219,35254173,44638671,55488662,67829575,55488430,55488432,59865043,59865022,48473474,38560360,38560359,48473462,38560353,38560352,48473457,48473489,44638481,35254035,27155129,27155128,35254033,27155177,20243715,20243714,27155173,35254118,44638605,55488566,257813178,55488577,55488578,59865032,59865033,55488542,44638581,35254153,27155199,20243736,14526096,9994953,6568775,6568776,9994956,14526104,20243746,27155216,35254024,35254046,35254045,44638492,55488390,44638444,35254010,27155116,27155115,22622513,16437455,11452280,11452282,16437460,22622516,29990389,38560373,35254028,35254027,44638471,44638587,35254107,35254109,44638591,44638600,55488561,67829720,81295539,81295569,67829747,67829746,72602943,59864997,48473452,38560349,35254142,27155192,20243732,14526094,10492687,10492688,14526098,20243738,27155124,27155125,27155147,35254041,35254042,44638489,55488387,55488385,55488382,55488381,67829505,81295308,95351517,81295310,72602976,59865030,48473494,48473493,59865040,72602984,67829569,67653157,67653156,81119692,81119689,67829529,67829531,81295340,67829727,67829728,81295499,67829783,55488611,44638630,44638631,44638563,35254092,35254093,44638565,35254138,35254139,28387395,21169011,21169012,28387398,36883865,35254084,27155151,20243700,14526082,14526084,20243707,27155163,35254053,27155136,27155135,35254050,44638496,257923947,81295318,67829512,67829511,81295315,86200426,258544197,67829644,81295470,95351675,109603884,116032568,101985933,88010590,86200442,86200443,95351722,259172980,81295428,81295429,95351638,81295605,81295502,67829673,55488526,55488527,55488616,258544201,85540146,71952314,71952312,67829657,55488507,44638546,35254087,27155155,27155154,27155161,35254096,257324673,67829679,81295510,81295434,67829640,67829642,72602955,86200423,81295475,67829650,55488503,44638539,35254080,27155146,27155145,35254078,44638531,55488396,67829520,74405459,72602970,72602971,67829820,55488646,44638658,35254157,35254156,44638654,55488638,67829814,81295608,81295585,67829789,67829788,81295577,95351748,95351621,81295413,67829600,67829601,81295416,95351624,81295431,67829613,55488469,44638512,35254066,35254067,44638514,55488472,67829616,81295439,95351644,95351657,81295453,67829628,55488482,44638518,35254070,256758515,55488478,67829622,81295321,95351525,101985857,101985856,100162747,86200441,72602966,61626886,50145005,50145006,55488490,44638523,44638522,55488486,67829633,81295464,95351666,95351676,95351677,109603886,109868297,115937801,115937802,129837316,123791673,109603860,95351616,81295409,67829596,55488457,44638503,35254061,35254062,44638509,55488465,67829603,81295418,95351625,84015965,84015964,81295451,67829626,67829625,81295444,81295445,95351654,109603811,101985858,88010479,74405321,74405323,81295461,95351663,86200436,74405452,61626882,61626883,67829635,67829634,81295466,95351671,97884746,111816999,97884715,84015916,84015918,95664371,95664370,101891649,87917560,74314088,61537387,61537386,74314083,87917555,81295407,67829592,67829590,81295400,74405313,74405312,81295458,81295456,84015961,84015969,70482055,57781872,57781873,70482059,84015973,97884751,95351651,87062323,73444818,60696932,49295547,49295545,60696928,50144843,50144842,61626728,74405317,88010475,74405448,74405449,84015955,84015954,97884742,97884720,84015924,70482030,57781859,57781858,70482027,81630930,81630929,95664374,84015947,84015948,87917558,88010595,74405462,74405461,88010457,101985852,101985855,88010465,77734149,77734150,91662240,97884684,84015875,258631587,57781863,57781862,70482008,84015896,97884700,101985865,88010485,258268181,50144846,40123735,31444306,23952617,17606570,17606569,23952614,31444300,36562638,28092538,20918309,15012007,15012008,20918313,28092545,36562650,46426868,257796684,57781839,70482004,70482011,70482012,84015901,97884705,88010601,74405464,61626896,50145013,40123905,31444508,23952823,23952824,31444512,268998281,50145035,50145036,61626400,60358692,60358691,73096854,74405498,61626950,61626949,74405301,61626716,50144827,40123722,31444298,31444297,40123720,50144822,61626715,74405297,70481995,57781832,46426821,36562599,36562600,269297453,55224496,44373703,44373704,55224498,46426848,36562622,28092522,23952834,17606768,17606767,23952831,31444527,40123930,50145040,50145016,40123907,36562609,36562604,36562605,46426831,40123466,31444086,23952395,23952396,31444089,31444295,23952611,23952610,31444292,40123718,42913784,33868074,33868077,42913786,53380181,61626918,50145034,40123923,40123922,50145031,61626712,50145042,40123938,40123937,40123821,40123706,31444280,23952599,23952600,31444283,40123710,40123903,46426841,42913794,40123928,31444524,256529548,10341266,10341264,15011995,20918292,28092518,31444534,23952845,17606775,12428076,12428075,17606769,20918322,20918320,23952812,23952808,23952809,31444499,40123901,33868082,26045899,19366603,19366604,26045903,33868085,40123957,31444563,256529571,258268189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8654492, s2 = 8509352, dlinesl.size( ) = 2 s1 = 8654492, s2 = 8509352, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8654492, Dl.E( ) = 18, 4.2e-05 seconds used appending s1 = 14164638, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8351537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8351537, s2 = 11255574, int(edited[s2]) = 0 s1 = 8351537, s2 = 11255574, d1 = 73, d2 = 69 Dl.O(d1) = 52264366,64113170,77259872,71079395,71079396,84641989,84086118,70549146,57847149,46491133,46491134,57847132,256824028,84086094,256285942,98869968,84943423,84943424,257763704,62835885,75800037,86284951 Dl.O(d2) = 22758335,16546373,16546375,22758340,30145250,38726653,48647738,60044229,70549668,57847601,57847599,49452435,39520184,39520185,49452437,60854135,72783120,60044329,256977537,255934643,22758376,28151542,20973414,20973415,28151549,36624946,46491305,57847414,70549436,70549433,74052510,61272638,49793597,39773707,31095322,31095323,256433855,30145262,38726669,41737716,52052559,41752044,41752045,52066047,60853748,256334236,49793509,61272520,72783065,74551820,85663644,85663645,86379161,72783070,60044254,48647757,38726668,30145261,22758348,16546378,11532420,7672035,7672036,11532427,16546392,22758376,28151542,20973414,255009833,6845879,4295621,2568156,2568157,4295623,254714951,254564959,5085254,7989693,11938119,17022988,23282137,30697675,30697643,30697642,37085944,28581309,28581308,37085940,46967317,257437600,49793562,39773681,31095302,23611540,17298724,12176991,12176992,17298725,23611545,31095310,39773697,49793588,61272523,49793510,49793509,61272520,72783065,74551820,85663644,85663645,86379161,72783070,60044254,48647757,38726668,30145261,22758348,16546378,16546379,22758350,23611530,28581278,37085891,36901092,36901091,46778871,58146451,70860585,74052480,74052481,76994915,70549477,70549478,70549634,57847571,57847437,257107939,17935814,17935813,24323324,21929286,15842524,15215183,10495514,6920930,4348030,2604186,2604187,4348034,6920942,10495539,15215222,21174530,28394313,36891498,46769739,58137387,50438600,40404606,31712568,24204910,24204909,31712566,255598553,8634576,5615197,5615198,8634581,11692947,12708745,12709057,12709058,17936423,21174640,17936001,17935999,17935387,12708403,12708402,12709147,17936565,24324311,30003682,38574286,255780090,48753487,38833413,38833414,48753488,60147793,72884177,271354319,98867614,98867612,98867613,100013035,100013036,114040430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8351537, s2 = 11255574, dlinesl.size( ) = 80 s1 = 8410986, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9380408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8132147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9208096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3445588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3445588, s2 = 12127419, int(edited[s2]) = 0 s1 = 3445588, s2 = 12127419, d1 = 28, d2 = 24 Dl.O(d1) = 113971671,113971670,259616800,99948868 Dl.O(d2) = 52173401,41849537,41849538,41849575,41849576,52173446,52173438,41849567,32920585,25206248,18642322,254635704,32920581,41849587,52173461,64006034,64006011,52173441,52173440,64006010,257161624,64006014,64006007,52173436,255236710,32920564,41849566,52173433,52173451,52173449,52173427,42454028,33461168,25689184,25689183,33461167,42454027,52857886,64777493,77135890,64006029,64006028,77135861,77135860,77135876,257749336,91039595,77135883,64006023,52173453,41849581,41849582,52173455,64006027,77135884,72944491,72944490,86544310,100506422,91039604,91039603,91039593,91039592,105248243,105248248,91039598,269476010,91896728,77972014,77972015,258794964,84616602,84616603,257161626,61236784,52173444,52173443,64006013,77135874,86544312,100506424,114536838,112112128,98152636,84258712,70707343,57990243,57990242,70707341,77135887,75324637,75324636,72944478,72944477,62424874,62424873,72944488,60204603,60204604,72944484,60204600,48807464,48807463,60204598,72944482,74017447,86544306,87621685,74017467,61236805,257543862,52857894,52857891,42454035,33461174,25689187,19065164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3445588, s2 = 12127419, dlinesl.size( ) = 22 s1 = 6436534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6436534, s2 = 13780290, int(edited[s2]) = 0 s1 = 6436534, s2 = 13780290, d1 = 77, d2 = 83 Dl.O(d1) = 254378826,254378310,11870058,11870059,13317866,12017750,12017751,17103276,17072272,17072273,17097464,16627938,16627937,16959915,11871837,11871836,16959913,12017488,12017487,17103068,23270598,17007696,17007697,254817938,268242828,271339957,262301226,215944434,219265452,263946376,215944455,219265464,222070639,222070632,219265458,274277077,226574273,264540402,219265460,262775264,207024529,201075042,194015661,185777615,176333057,165664525,153887884,141215971,141215970,153887881,165664521,260069882,194015656,261790022,211933693,211933694,262775262,207024525,201075037,201075038,207024528,201075046,194015663,185777617,261790024,261244056,185777610,185777609,185777612,194015659,260669148,185777602,194015648,261790020,262301230,207024526,207024515 Dl.O(d2) = 261762166,262750544,263927627,265008371,265216087,265404972,195309185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6436534, s2 = 13780290, dlinesl.size( ) = 2 s1 = 6436534, s2 = 13780290, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 6436534, Dl.E( ) = 84, 2.31e-05 seconds used appending s1 = 8300888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8300888, s2 = 1078480, int(edited[s2]) = 0 s1 = 8300888, s2 = 1078480, d1 = 81, d2 = 86 Dl.O(d1) = 271340392,48290306,256410437,16273269,11315578,11315579,255913471,38379670,48290307,258142187,86009112,99968456,99968457,113991781,260609291,113991787,112611622,98616707,259922309,261653395 Dl.O(d2) = 256902299,57830073,257081356,25701681,256627931,257394644,36556024,28086873,28086874,28080205,28035341,20867476,17181333,17181332,23460111,30030689,256969071,257393153,28067948,20944019,20944018,20944041,15035659,10363370,6826743,4282833,4282835,6826746,10363375,268198921,256282755,46460719,57816799,53722918,53722917,53732284,53732285,50067889,50067888,61545950,53732282,50067922,256523851,255176791,12362948,9615045,6315571,3958452,2370655,2370657,3958456,6315575,9615051,13995877,13995879,13995878,19545538,26265868,19545555,13995889,9615060,268038033,19545558,19545601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8300888, s2 = 1078480, dlinesl.size( ) = 2 s1 = 8300888, s2 = 1078480, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8300888, Dl.E( ) = 92, 4.79e-05 seconds used appending s1 = 13477019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3446814, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3447003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3447003, s2 = 6487924, int(edited[s2]) = 0 s1 = 3447003, s2 = 6487924, d1 = 14, d2 = 4 Dl.O(d1) = 114005700 Dl.O(d2) = 30203720,22812375,255114931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3447003, s2 = 6487924, dlinesl.size( ) = 22 s1 = 11658410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658410, s2 = 8063825, int(edited[s2]) = 0 s1 = 11658410, s2 = 8063825, d1 = 7, d2 = 12 Dl.O(d1) = 115811963,101766002,258873305,61410472,61410473,74189575,87793415,101766000,115811962,129710624,261825479,167222851,167222852,155591282,143041274,263620387,201115082,194062891,185832189,176393497,262358900,153955189,141283049,127921477,258903088,100012499,114039973,114039975,100012501,86049077,86049076,100012498,114039971,114039974,127921476,127921475,128262184,127921473,114039968,114039967,100012497,86049073,72450228,72450229,72450231,59713430,48326599,38417773,29849347,22483932,19227765,13735748,9410106,6165403,3857889,2311290,1340933,1340923,1340924,765834,765835,1340980,2311380,3858045,6165660,7235050,4560959,4560957,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12589622,12589623,13738372,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,11147909,12280738,12280740,14334664,14334666,17493399,12334361,8332501,5377942,5377947,8332517,12334387,17493435,12553237,8511198,8511196,9410690,8275409,5339587,3282074,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100740,1926512,1100758,617812,617813,1100766,1926578,3275505,5328929,8259653,8259652,12232196,17362153,17758086,12565977,12565973,16054777,11147538,11147540,12279897,8293266,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,5538743,5538748,7430584,5538739,5538741,8540667,12565854,12550988,12550989,12252945,12252944,17362365,12232348,12232347,12280832,8293937,8259862,8259863,8259719,5328821,5328819,8259712,9234018,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,254184493,3288344,5350357,267793998,17422639,23748071,31231750,31658014 Dl.O(d2) = 66916980,80343230,73268328,73268326,84454330,70897980,58184809,46818352,36940405,36940404,46818351,58184807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 3627122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3627122, s2 = 10353347, int(edited[s2]) = 0 s1 = 3627122, s2 = 10353347, d1 = 10, d2 = 18 Dl.O(d1) = 125643539,125643540,114041335 Dl.O(d2) = 114041333,127922637,141284190,153956269,165730674,176394422,185832981,262752932,175788151,175788152,185298928,176394437,165730690,153956282,260563274,127922673,141284219,150538918,137509462,137509463,150538919,137509478,123786755,109598639,109598640,123786751,109598634,109598635,109598669,259172463,67823840,257324053,35247535,27149333,20239050,255338535,14522826,20239047,256232055,44631958,55482155,44631966,257923347,258543629,55482154,259172457,260027080,109399491,259409800,81289981,95346238,109598642,109399494,109399493,123591224,137322581,126535654,112673158,98678686,84751292,71182552,258679693,84751298,84751299,84935116,71358159,58620957,47227695,37318678,268923003,28782777,21519455,15508285,10725498,7086364,4461643,4461644,7086366,10725501,15508289,21519461,28782780,37318686,47227705,39815461,31133010,23645409,17328630,12203649,8235313,8235316,11078567,11078568,15962249,16374158,16374156,21839108,15769538,15769535,14963836,14963837,12430577,8401342,8401343,12430564,17610553,23958126,23266552,17002698,17002695,23266543,30683406,30683583,33767132,33767133,37814939,29249902,25307819,25307818,33034467,39311689,33284645,33284646,40126997,40126998,39279272,30682340,30682339,39279269,49205749,60606392,73351425,86462311,72866927,60130115,60130116,72866928,64062635,64062634,77203703,77203707,64062638,52221213,47930130,41035673,36531095,255868924,268079132,6790639,6790638,254709219,6782484,6782483,6769809,254543773,4854693,7672431,9000691,6781307,4250807,2541248,2541250,2055378,2055380,3466154,5586928,8598134,10386946,10299323,6818930,4277430,2557379,2557381,3466267,5587103,8598351,9510191,10352081,10297968,6770728,4243692,3372154,3372151,1984291,1984290,3372202,5480081,4286294,3467064,2055851,1179369,662187,662189,1179087,833870,470099,264248,146285,80407,80408,146287,264253,470111,833893,1474667,254325149,6826831,10356708,6820740,6820741,10356710,10378234,10364143,10364142,254988178,5941899,254642877,5209217,5209215,8130756,9086958,5944035,5944034,3716929,2418471,1399957,796834,796831,1399909,1861077,3179387,5211065,5211066,8132948,8132946,12093596,257038247,258227355,60865471,49462356,49462355,60865469,73615723,87237222,101237468,271375363,129244053,129244054,129244055,142614041,272891255,261809164,115315861,101237463,87237218,73615720,73615719,87237217,101237461,115315855,272280830,127507386,127507378,113636031,113636032,261709283,165330724,263142005,165330720,261873764,127507376,113636029,99622835,99622836,271797853,140863068,272854845,140863063,140863062,153539102,165227128,153425140,140743922,127387986,113518218,99507123,99507124,258740043,72088167,59354795,47963797,257506753,47963889,38050747,29487198,255451549,11130436,11130437,16029917,11130377,11130378,16029919,22148872,22149007,255076313,11130458,16030021,22149005,29487236,268939891,59354861,71973807,72088222,71973799,59236195,59236194,71973798,59236200,47839071,37917981,29349395,22017544,15915954,11037537,7311906,4615185,4615184,7311905,11037535,15915950,22017536,29349382,37917959,37917937,29349365,256375919,47839029,59236172,71973777,74048138,61268244,255976754,65095961,53109111,53109110,255529630,28985747,28985746,256889693,58794791,58794792,65077833,65077832,58644691,47251914,47251915,39180858,31703808,256548263,47407748,39180846,30583146,23165342,23165341,30583145,30583157,23165347,16902806,11828902,7905211,7905212,11828904,16902810,23165352,28960947,21678993,21678994,28960950,30583123,39180810,49110303,60513222,59645394,48258458,38347890,38347891,38601708,30028458,22654740,16462182,16462181,22654737,30028454,38601702,48516418,59909518,72649862,86250991,85095975,85095973,72649869,59909525,59909526,72649871,72649870,72649871,73420811,60673945,49273653,41705205,32789674,32789675,41705207,41705198,32789667 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3694841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6938479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6684083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3179657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10234703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3181173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2726772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2726772, s2 = 7074880, int(edited[s2]) = 0 s1 = 2726772, s2 = 7074880, d1 = 77, d2 = 53 Dl.O(d1) = 78414621,92450429,85918246,85918245,99873473,113892042,100126782,100126781,114160556 Dl.O(d2) = 262215024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2726772, s2 = 7074880, dlinesl.size( ) = 2 s1 = 2726772, s2 = 7074880, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 2726772, Dl.E( ) = 106, 2.6e-05 seconds used appending s1 = 3452203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6958932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6959083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165526, s2 = 3453490, int(edited[s2]) = 0 s1 = 14165526, s2 = 3453490, d1 = 6, d2 = 0 Dl.O(d1) = 141451495,128086589,114200161 Dl.O(d2) = 114200160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165526, s2 = 3453490, dlinesl.size( ) = 2 s1 = 14165526, s2 = 3453490, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 14165526, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14164764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13585445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6813341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3184408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3184408, s2 = 10195602, int(edited[s2]) = 0 s1 = 3184408, s2 = 10195602, d1 = 2, d2 = 16 Dl.O(d1) = 100203626 Dl.O(d2) = 261168594,165912751,154151739,259373998,176561265,185985495,194201973,261716858,194201975,272857502,273725167,185985502,185985493,176561262,176561263,165912750,154151739,259373998,176561265,185985495,194201973,262231978,207164535,273121832,207164536,207164535,273121832,201239927,194201978,185985500,176561273,165912756,165912757,165469091,153689995,261716860,176147962,185577645,176113266,165431258,153650377,140983421,140983420,127675730,113807771,259377643,72249510,257519991,38217757,29651322,22299269,16153820,16153819,16153804,11222828,7446458,4704826,4704827,7446461,8965375,13153339,18512785,25049198,32739140,41648699,51800645,52713842,256662638,25585607,18977115,18977113,22299231,16153797,11222823,11222824,16153799,18447878,24966748,32636570,38217716,29651282,29651283,38217718,48127908,51955660,41648764,41648763,51800627,51800628,63586533,53358554,42892910,42892909,41132453,257142125,33345279,25585504,18977025,13541195,13541194,18977022,25279520,18706854,18706853,25279518,25370581,268488985,42054715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3184408, s2 = 10195602, dlinesl.size( ) = 2 s1 = 3184408, s2 = 10195602, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 3184408, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 8061305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8061305, s2 = 14165823, int(edited[s2]) = 0 s1 = 8061305, s2 = 14165823, d1 = 35, d2 = 30 Dl.O(d1) = 2735721,2735722,4551045,2736484,2736482,1585635,1585636,2736573,4552316,7224591,4555403,4555404,267969143,15774971,17607584,17607583,23953950,31080773,254738390,255600843,255261909,9187056,6012841,6012842,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313912,17051342,17051343,23314578,23884101,25459882,22673999,16477478,16477479,22674004,27981074,27981071,29480870,29480866,33207520,25459836,18859975,18859974,23314055,17051017,11961681,8007268,5097505,5097501,8007254,11961659,8007744,8007745 Dl.O(d2) = 16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,19344246,13834604,13834605,19344250,26019575,29481854,38045015,47958104,55450683,269204832,95320952,109576491,259807984,150522554,162642543,152610265,139902376,139902377,152610267,154160983,141495294,128133951,114247090,100212818,86245043,86245044,100212820,114247092,114247091,128133953,141495297,141495296,154160984,165921888,176569633,185993030,194208880,201246201,207170009,212054753,212054754,216045522,219352097,222145968,224545100,274432434,225256053,225079809,222753239,220046581,216842643,212978585,208253072,202523900,195706784,262431838,168268513,156797976,144386874,131155984,131155983,117353975,103225994,89137696,75392697,62476469,50877992,256568691,32007428,25700989,19074944,19074943,25700987,28571144,21343142,255031249,7007712,4405147,4405148,7007714,10618770,15368336,21343154,28571159,37074215,46954400,257007626,269838114,112520921,270870192,77918192,64727986,52812725,52812724,52812726,268926482,31753726,255685608,12651955,8590150,8590153,12651936,12651922,8603066,8603070,12668236,17885131,17872394,17872390,19010808,13568164,9289794,6085522,3807736,3807737,6085525,9289199,13567339,12581644,8534685,8534687,12581648,17777331,17874345,17874346,21353885,15377305,15377303,255553669,255147671,8082982,5179026,3160012,3160013,4989554,267898883,8082910,8082909,11778257,11778258,16842312,23098186,30513843,39110950,49040644,60444429,73190897,86802833,100783489,114835379,128734975,142093149,128761197,114863681,100811998,86830609,73217764,60471105,49067660,39137352,30538295,23119373,16859673,11792030,11792029,16859671,18848350,14461808,14461807,268259039,12483003,8453524,5460829,3357360,1973711,1126763,1126762,1973709,3357355,5460819,8453509,12482966,17653563,17653565,13740580,9414087,6168044,3859413,3859414,6168046,7856855,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,7173838,10851324,15674633,21718570,29004443,33189277,38025050,29462975,22128262,254556264,29462356,29462355,38024421,31494601,23997182,23997183,31494602,35143286,27057992,20164497,254556466,254472976,16831793,14467154,9953549,6541708,4098452,4098453,6540008,9950951,14463780,14463898,20161648,20166486,20174034,14474407,14474408,20165295,14467253,9953610,9953611,11767560,7856502,7856504,11767566,16827946,23080247,30493903,23084400,23084399,23084409,23084408,23080256,20161080,14463446,9950732,6539875,6539874,9950729,14463440,20161070,27054546,20163963,20163964,27057386,35142692,27060027,20166294,14468012,9954135,6542071,4098642,2451867,1417506,1417507,2451870,4098651,6542087,6545357,6545355,9958992,14474398,20173694,14474159,9958817,9958818,14474162,20161714,20949436,20949437,28127314,28127342,36601009,42911043,35138961,35138956,44515763,53807094,43282042,34185267,26313549,19588323,19588324,26313550,30185676,22795851,255113535,7692897,4868333,4868332,7692895,11559687,9857306,6475025,4057616,4057614,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895450,7731075,11611191,9542172,6260305,3919183,2346016,2346015,3919180,2955042,2955041,4798676,2929195,1699118,966082,966081,1699115,2929188,4860813,4891708,2947852,1709609,971751,547294,547293,971748,1709602,2947838,2892955,2892954,4799617,7587965,4870761,4870760,2947752,2947749,4891566,4799666,2892986,2892985,2894669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8061305, s2 = 14165823, dlinesl.size( ) = 2 s1 = 8061305, s2 = 14165823, "passes" = passes Sat Dec 09 04:19:05 2017: s1 = 8061305, Dl.E( ) = 36, 3.1e-05 seconds used appending s1 = 9245990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6740284, s2 = 11101828, int(edited[s2]) = 0 s1 = 6740284, s2 = 11101828, d1 = 39, d2 = 47 Dl.O(d1) = 257922888 Dl.O(d2) = 255368859,15032439,10390892,6848412,6848413,9093557,5949119,5949120,254913057,14983722,10315458,268618666,20964796,255797279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6740284, s2 = 11101828, dlinesl.size( ) = 56 s1 = 6925370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6925370, s2 = 14164860, int(edited[s2]) = 0 s1 = 6925370, s2 = 14164860, d1 = 10, d2 = 3 Dl.O(d1) = 260155288 Dl.O(d2) = 255930323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6925370, s2 = 14164860, dlinesl.size( ) = 2 s1 = 6925370, s2 = 14164860, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6925370, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 11658552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3456738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3187391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6652942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6652942, s2 = 11290874, int(edited[s2]) = 0 s1 = 6652942, s2 = 11290874, d1 = 92, d2 = 63 Dl.O(d1) = 256973466,59973902,260028799,100267843,100267844 Dl.O(d2) = 187461696,187461695,178245220,167800639,156205338,143675809,261955514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6652942, s2 = 11290874, dlinesl.size( ) = 12 s1 = 8455516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8455516, s2 = 8283332, int(edited[s2]) = 0 s1 = 8455516, s2 = 8283332, d1 = 18, d2 = 20 Dl.O(d1) = 261753100,128183919,114301382 Dl.O(d2) = 105410652,260852713,259810530,77268949,270507277,100271602,86310098,72713220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8455516, s2 = 8283332, dlinesl.size( ) = 22 s1 = 9483330, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7705895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7705895, s2 = 6814041, int(edited[s2]) = 0 s1 = 7705895, s2 = 6814041, d1 = 23, d2 = 25 Dl.O(d1) = 273228305 Dl.O(d2) = 258788000,254712051,254225953,1546856,2670661,4445691,5212067,5212070,3179893,3179891 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 988825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 988825, s2 = 7705894, int(edited[s2]) = 0 s1 = 988825, s2 = 7705894, d1 = 17, d2 = 20 Dl.O(d1) = 25083628,25083630,32781025,32781021,32781022,39752722,31075114,254225952,254712050,258788001 Dl.O(d2) = 273228304,179347713,261418372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3457885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10223757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6691656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3189391, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3189443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3189443, s2 = 6822315, int(edited[s2]) = 0 s1 = 3189443, s2 = 6822315, d1 = 1, d2 = 26 Dl.O(d1) = 100321998 Dl.O(d2) = 258871714,70934632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3189443, s2 = 6822315, dlinesl.size( ) = 34 s1 = 14611408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14611408, s2 = 7042665, int(edited[s2]) = 0 s1 = 14611408, s2 = 7042665, d1 = 7, d2 = 7 Dl.O(d1) = 88323284,102318900,261755259 Dl.O(d2) = 88323284,102318900,261755259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14611408, s2 = 7042665, dlinesl.size( ) = 2 s1 = 14611408, s2 = 7042665, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14611408, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7042664, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3458872, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6760845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6760845, s2 = 11499186, int(edited[s2]) = 0 s1 = 6760845, s2 = 11499186, d1 = 86, d2 = 97 Dl.O(d1) = 258167081,86378446,100335719 Dl.O(d2) = 129766591,129766592,261829731,263623277,264282241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6760845, s2 = 11499186, dlinesl.size( ) = 22 s1 = 4129279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14588978, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3191432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658972, s2 = 11192172, int(edited[s2]) = 0 s1 = 11658972, s2 = 11192172, d1 = 21, d2 = 14 Dl.O(d1) = 28757791,21498448,21498449,22650326,20058030,20058031,16458885,16458884,22460253,29085853,21788358,15730025,13699754,13699753,14377760,20061940,16291459,16291457,22459406,16594427,16594428,17360222,14386109,9891643,6499882,4072874,254470087,9891647,11589766,7714714,4882794,4882793,4882792,4874088,2937035,2937034,4874080,7701243,6495697,4070281,2435597,2435596,4070276,6495685,9886188,11569187,10891259,7202585,7202584,9862755,10884608,254972525,7194130,7194129,7198036,6478434,6478431,9862377,7196135,4536135,2726643,2726645,2724568,2724569,4532574,7194731,10881899,12302778,11732590,7833250,4972356,3003303,1744130,991045,991044,1744128,3003298,4972348,7201035,7201036,10881719,10881718,11272074,7482630,7193830,7193829,9888008,9888005,14382501,15926512,11049681,9890694,9890695,14385069,17432536,12287052,8297898,5353077,3289988,1934728,1934730,3289992,5353086,8297914,9901203,9890499,9890500,9887804,9887803,9899251,9899250,14392968,255742201,28066127,36532640,46393216,57743721,70438699,83965738,97825928,111749528,125556750,138889902,151591765,163473305,174318669,183978627,178304379,167873106,156289036,143764035,130437248,130437247,272279167,100365878,259448524,38759505,30176492,22787818,16573823,16573822,16412269,11427982,7596791,7586916,6927291,4351849,2954819,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930840,2930575,2930573,4863324,7685956,11412846,11412847,16393932,16393933,16653877,11621273,7739651,4903283,4903282,7743265,11559859,11559858,254360490,7733693,11614186,254787246,22614566,16430032,11445138,7611202,4891132,2947475,2947477,2947526,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,1211840,1211836,2104614,3535895,5684182,8731061,12839339,18106921,24540784,32118431,40892499 Dl.O(d2) = 50354607,46822894,36945009,28488724,268278680,10576059,6976258,4382751,4353230,2607300,2607299,1507280,854622,482914,481890,481892,853250,483540,483539,856130,1504112,856230,854134,482391,482392,854137,854146,854152,854153,1506505,2609899,1509691,1509692,2614323,2608624,2608625,2606968,1504472,852829,852831,482320,272858,272859,485059,859229,853503,482042,482041,272092,150832,150834,272101,483589,856206,855909,483405,272648,151093,83058,45436,45437,83064,151106,151137,151136,272713,484796,254119491,482049,853514,855955,1509320,2613778,4361728,2625333,2625334,2614446,2614445,4362681,4054364,4054365,6470081,9850381,14338366,20019450,26901960,34981581,44358945,268177166,31530780,31530779,40216644,50236971,55366269,257259020,33987903,36423906,27965414,20803029,20803030,27965415,36423907,46276615,52066837,41752761,32831618,30684637,23267688,23267687,30684635,32766574,25069967,18527863,13163962,8972721,5857404,5857403,8972718,13163957,18527855,254621072,18093454,18093453,24524841,18527832,18527831,25069921,24524846,18093456,18093455,24524844,25069998,18527879,18527878,25069996,32766351,25069805,18527758,13163902,8972688,5857386,5857387,8972690,13163908,18527769,25069822,32766369,41682390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658972, s2 = 11192172, dlinesl.size( ) = 14 s1 = 7554726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3461176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3192156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3192156, s2 = 10242929, int(edited[s2]) = 0 s1 = 3192156, s2 = 10242929, d1 = 3, d2 = 25 Dl.O(d1) = 100376962 Dl.O(d2) = 174943379,174943381,260972766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3192156, s2 = 10242929, dlinesl.size( ) = 20 s1 = 3461424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3461424, s2 = 8078878, int(edited[s2]) = 0 s1 = 3461424, s2 = 8078878, d1 = 23, d2 = 48 Dl.O(d1) = 114403263 Dl.O(d2) = 147172815,133950325,120108544,260879633,120108548,120108549,133950335,133950336,133950352,120108559,105897109,91690049,91690050,105897111,120108563,133950331,133950333,147172823,155159387,142515106,129137842,115206146,257542714,60761999,49358695,268409370,58171919,46804499,36926307,28427695,254784076,10511892,6931804,6931803,10511881,15238202,14091135,14091134,19658650,23391135,21960602,268385007,21468141,28724836,30599556,23180850,16915831,11838518,11838517,16915830,14095353,9694613,6376189,4000603,2397470,2397472,4000607,6376194,9694619,14095365,19664064,23179255,16914378,16914377,23179252,23390571,23390573,19657404,19657401,21636001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3461424, s2 = 8078878, dlinesl.size( ) = 18 s1 = 3461584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8620836, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8459244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8459244, s2 = 2793138, int(edited[s2]) = 0 s1 = 8459244, s2 = 2793138, d1 = 24, d2 = 11 Dl.O(d1) = 258173479,86439504,100395154,114418501,128294405 Dl.O(d2) = 258176512,46458422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8459244, s2 = 2793138, dlinesl.size( ) = 20 s1 = 8058549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8058549, s2 = 10340482, int(edited[s2]) = 0 s1 = 8058549, s2 = 10340482, d1 = 31, d2 = 37 Dl.O(d1) = 256422406,14407954,12001332,8054715,8054716,12001335,9895056,9147104,5985869,3742934,3742936,5985876,6733465,6733467,10248165,14904906,20797949,23875844,23875845,25580850,18973133,17408577,12268404,9147615,5986175,5986177,9147619,13382933,18789471,18571507,18571504,25123365,20982073,15069963,15069965,20982078,16272593,16272594,254916999,5975418,3736906,3736904,5975413,9131005,255255551,15168693,11333238,7530963,7530965,11333242,11333296,7531000,7531001,255095891,22457978,29825372,28914010,28914011,256564817,17987583,17987582,24387156,24387168,29978335,22611562,16427313,269613968,2900994,4813748,2955095,254800883,16656977,22885708,267958412,10396745,10396748,9206321,6027250,3770684,2259281,1311311,748689,748688,1311305,2259270,3770665,6027212,9206236,13462359,18891061,17245130,17245129,20826973,14928559,10265554,10265557,10396628,15073650,16958322,15046238,10373447,8159261,5230218,5230217,8159225,8159226,12127513,17245106,17751251,21623980,27277276,35403480,256359226,17545011,12375571,8362743,5397713,5397716,8362706,8488702,12527063,17709209,15280733,15280734,17557222,17557221,21477351,21237831,15269522,10536512,6948635,6948634,10536510,15269518,21237829,28461756,27038780,20145859,20145858,18937769,13501992,12397837,8378511,5407079,5407077,8378487,11958900,8005557,5096503,5096504,8005560,11958909,16553258,11537783,7675946,7675945,11537779,12434469,255128749,7842978,7842979,11746944,9249073,9249074,13515008,9247774,6056560,6056559,5401107,3320828,1953360,1953359,3320825,5401103,5412070,8386913,12409221,16898199,12433545,12433543,17402926,14447903,11825502,7902970,5023671,5023668,5589960,5405884,5405885,5409739,8383068,7679859,7679861,7787349,4937090,4859536,4859539,7679750,8375835,5405550,5405549,8375833,8285488,5345184,5345183,8285486,8303894,5466545,254602901,12491375,17664733,18500999,18500998,25033818,21181656,15220686,10499170,10499168,15220681,13495956,9233176,9233175,13495955,18931138,254999988,15003252,15033551,10361114,6824710,4281441,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,5584092,3464505,2054576,1178784,1178786,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283564,6827861,255795437,21086612,28293585,36790184,41940590,258797249 Dl.O(d2) = 25553569,256652039,258414907,258880959,257649661,40001621,256985482,12335048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6815053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6815200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10204464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8456643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8456643, s2 = 11325134, int(edited[s2]) = 0 s1 = 8456643, s2 = 11325134, d1 = 20, d2 = 12 Dl.O(d1) = 261060200,100428319,86471142,259423755,114452867,128329957,271754998,262752005,163585199,151705980,261763596,139001527,128329959,128329960,272574263,141679747,261763595,141679753,128329966,128329965,141679751,262276333,262620754,141679754,141679755,262620752,141679746,128329961,261216833,154332317,166081981,154332318,154332319,262620754,154332323,261060202,100428319,86471142,72875515,60138612,60138613,258799485,100428316,260640827,141679755,262620752,141679746,141679745,154332313,166081981,154332318,154332319,262620754,154332323,154332321,141679749,128329963,128329962,261763595,141679753,128329966,128329965,141679751,262276333,262620754,154332323,261060202,100428319,86471142,72875515,60138612,48743850,38823700,36583240,268234884,15026019,20934107,28110814,21144367,15192060,10478796,6908929,6908930,10478798,15192065,21144376,28359479,25808472,25808471,30241154,36850799,28480825,21263003,15300205,15300206,14399714,14399716,20083639,26969061,35050269,38824953,46297510,36444189,36444190,36611322,28137681,26907847,26907846,26662021,19847286,19847287,17942461,17942463,24330801,31850663,31276745,24157026,17789940,12591538,8542927,8542926,7383434,7383432,11131180,16031004,17789899,12591520,8542942,8542943,12591571,17790010,24157129,256545523 Dl.O(d2) = 260744825,261857543,167683764,178141175,178141177,187372264,195407009,187372262,187372261,195407008,200540996,200540997,195407012,195407011,193397726,185073881,185073882,193397729,187372262,187372261,273750695,200540995,193397726,185073881,262587906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8456643, s2 = 11325134, dlinesl.size( ) = 2 s1 = 8456643, s2 = 11325134, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8456643, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14115921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7043563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9034172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9034172, s2 = 14158839, int(edited[s2]) = 0 s1 = 9034172, s2 = 14158839, d1 = 22, d2 = 21 Dl.O(d1) = 262501107,261473277,260313829,261554532,25850947,33655752,269099349,65122010,70428054,78404151,84712811,71509736,59160095,268968480,34313586,34313585,35065503,35065504,255788929,14985583,10317269,6787231,4254957,2543683,1465463,1465460,2543673,254708473,14985398,20888589,24484599,18061783,17074392,17074390,23340616,18061660,18061659,24484425,22893094,22893095,29997620,26441606,19702495,14126966,14126963,19702487,26441632,34319496,255080388,31826534,35095718,27009329,27009328,35095715,31827038,31827035,24309941,18774376,13370364,9138111,5979922,5979920,6544750,6544751,6544759,6544760,9957937,14472823,20171893,14578782,10031786,10031785,14578775,20314660,22255053,22254511,22254512,21409224,20117744,14427415,9924362,6522644,4086870,4086868,6522637,9924346,12700649,8628663,8628661,12700640,12700468,12700467,15434024,20155662,20155663,27048355,29485181,31826650,24309405,17924795,17924792,24309395,31576093,27009173,27009174,35095559,39784197,257569195,38841535,30257917,30257916,38841533,258801085,100442754,114467144,128344044,134203240,141693419,260922684,260328075 Dl.O(d2) = 257836655,257243842,256167990,16824200,15000558,10330842,10330843,11757871,7851827,4983772,4983773,3010422,3010424,4983815,7851920,255129879,23066401,257003527,44831211,255673514,20344762,20344764,27280213,35405871,44130269,44130268,43936501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9034172, s2 = 14158839, dlinesl.size( ) = 2 s1 = 9034172, s2 = 14158839, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9034172, Dl.E( ) = 26, 7.15e-06 seconds used appending s1 = 13329427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6749668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6749668, s2 = 7850683, int(edited[s2]) = 0 s1 = 6749668, s2 = 7850683, d1 = 62, d2 = 54 Dl.O(d1) = 258061846,100466903 Dl.O(d2) = 8525886,8492636,8492635,8581994,5576183,3459419,2051219,1176575,1176572,2043806,1987301,1987303,2252946,3760937,2253343,1307747,1307745,1008876,568601,568600,1008849,1770172,1162917,1162918,2030611,2253932,2254412,3434263,2031402,2031389,254280303,5485661,5536272,3421699,2034938,1165590,1165592,1171684,657660,364573,364575,657637,254192799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6749668, s2 = 7850683, dlinesl.size( ) = 2 s1 = 6749668, s2 = 7850683, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6749668, Dl.E( ) = 64, 1.79e-05 seconds used appending s1 = 6967144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6967144, s2 = 3196940, int(edited[s2]) = 0 s1 = 6967144, s2 = 3196940, d1 = 7, d2 = 1 Dl.O(d1) = 260713124 Dl.O(d2) = 100477283 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3710528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13593715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3467634, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8305209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8305209, s2 = 10180755, int(edited[s2]) = 0 s1 = 8305209, s2 = 10180755, d1 = 1, d2 = 13 Dl.O(d1) = 86576793,72979436,256525348,60243475,257072412,86576791,258264072,114568091,128451371,141803713,154450012,165292468,153496398,260580040,127454618,127454619,140815160,127454620,113578223,99561582,99561583,113578221,99561581,99561580,113578219,127454616,113578226,113578225,127454621,255448344,254764148,72047327,59312241,47918595,38002781,29439796,267752192,15995294,11103903,7363719,4651273,2801665,1625165,924064,520924,292012,167094,167093,167102,301752,538237,954553,959444,991661,557797,538297,538296,954608,1677797,2874798,1677805,254069450,959192,540533 Dl.O(d2) = 7114452,8155124,12123198,12123197,255544017,31028434,39705522,257549328,257549326,101545597,115581660,129466769,142788180,155375431,167020752,177529947,186818251,261846726,164272514,152398103,139674740,126301742,270389872,257664620,84525342,70967343,257664622,46878293,46878294,58245335,70961858,58245317,268915673,28502638,36999950,46878282,58245320,70961863,268999732,58245341,46878302,46878301,46878280,269309369,37004527,46878283,46878282,58245320,70961863,268999732,58245341,46878302,46878301,58245318,70961861,84525340,84530559,70967343,257664622,46878293,46878294,58245335,70961858,257664618,98447299,258273506,84525346,84525348,258273508,98452160,98447288,84525337,70961857,58245316,268915673,28502638,36999950,46878282,58245320,70961863,84525343,98447291,84525362,84525361,98447299,258273506,84525346,84525348,258273508,98452160,258273504,84525346,84525348,258273508,98452160,98447288,84525337,70961857,58245316,268915673,28502638,36999950,46878282,58245320,70961863,84525343,98447290,258273510,256534086,58245329,70961875,84525335,70961857,58245316,268915673,28502638,36999950,46878282,58245320,70961863,268999732,46878300,37004523,28506291,254862454,268205413,37004527,46878283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8305209, s2 = 10180755, dlinesl.size( ) = 2 s1 = 8305209, s2 = 10180755, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8305209, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3199367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7938654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7938654, s2 = 14102469, int(edited[s2]) = 0 s1 = 7938654, s2 = 14102469, d1 = 8, d2 = 13 Dl.O(d1) = 262348001,261298594,260129496,61631851,50149270,40127748,256024277,256529837,33151545,25410880,18819706,13407541,9166641,5999685,5999686,9166645,13298909,18692052,25263428,32986696,32986684,25263417,25263418,22955644,254855918,11677630,258808433 Dl.O(d2) = 260582722,268399634,22099375,29431113,22812548,16594509,11573490,7703627,7703628,11573498,16594534,22812584,30203916,29408643,29408642,30203842,30203840,37428312,28886274,28886277,28907096,28232068,28232067,36725806,38358568,38358567,48268983,38358640,29786985,22422210,22422211,28281515,21076539,15139542,10441818,6883688,6883687,10441812,15139528,19063931,19063928,18841568,16594545,16594546,22812599,24236485,17861677,17861678,24236488,24236454,24236455,31747471,40442027,38463037,38463036,31515739,24014804,17666955,17666954,22549586,28669179,21422534,21422533,28669174,22549596,16373148,16373150,22549602,21633008,21633009,28907102,37446253,29787023,22422222,22422220,29787014,29787028,22422225,22422226,28281527,21076543,16375240,16375238,22551905,29908322,28281466,28281465,36777526,42452669,40441971,40441973,46662904,38465836,29908412,22551958,22551959,29908418,38465826,40442013,40442024,38465817,29908398,29908397,38465811,31515992,31515991,40202632,47086457,37190859,28669189,28669190,28669194,37190865,268425537,23289792,30706002,39303889,49230875,49379771,40202324,40202323,50224618,257612593,30847305,30847307,30847323,39451613,40202241,31515715,24014785,24014786,31515719,31516120,31515704,256486522,40202499,31515893,24014893,24014894,29908311,29908312,38465696,48367165,59749747,72484071,61706334,61706333,258165646,60780950,73528804,86081374,72484083,59749779,59749778,61706495,50225052,40202858,31516194,24015078,17667101,17667100,24015072,31516183,268549918,49379777,39451608,255984409,17141161,17141162,23417058,24014740,17666923,17666922,24014738,31515648,40202180,50224521,50224562,256432864,24014764,24014765,30125695,38702457,40202276,40202290,31515732,31515731,40202286,50224597,50224991,40202770,40202769,48163645,48163644,48613613,48613611,60004441,48613557,38698067,38698068,46920833,46920860,38698148,38698150,47725223,37803701,37803699,37803718,29288069,29288070,37856531,47780121,48870226,38950558,30364313,30364311,38702390,30125642,22743261,22743260,30125639,38702385,48617154,48870233,47725165,37803634,36775721,36775723,46661240,48613567,48613568,48616172,59123385,50224906,50224907,42166315,42166316,52524751,52524762,52524760,47725275,47725273,38698125,38698122,48613617,48613587,48613583,46920838,46920839,38698167,30121256,30121255,37803703,29239853,21921046,21921049,29239864,37803730,47725253,38465740,29908343,29908341,38465731,37803677,29239840,29239839,37803672,40202690,43309919,38465892,38465891,47725182,37803651,29239824,29239822,37803641,30121192,30121191,38698075,34249838,26372748,26372751,33206194,33206224,33206223,33206132,25458668,18859130,18859131,25458674,33206148,33206228,33206226,38698094,30121202,22738978,22738979,30121207,22739017,22739019,30121265,38698175,38698243,48613697,53834715,43309905,34211637,26337915,19609433,19609434,26337922,34211651,43309914,48618204,48618203,47725284,38697791,38697792,34211742,26337979,26337977,34211734,37803724,37803723,38701590,30124757,30124756,26337956,19609454,19609455,25458725,18859166,13436874,9186745,6012649,6012648,9186738,13436861,18859143,25458691,30121234,22738996,16531679,11521673,7664266,7664267,11521676,16531688,22739023,30121270,30121359,38698246,30126425,22743899,16535915,11525284,11525283,16535910,22743892,30126408,38703221,38703556,38697818,30120928,30120908,30120909,38697795,30120946,30120947,30121339,34211760,38698034,30124612,30124613,26338051,26338050,34211697,34211698,34211729,33206210,25458713,18859157,18859156,25458708,33206170,25458685,25458684,33206168,30121227,22738989,22738990,22739006,16531683,16531684,22739012,16531733,16531732,22739102,22744139,30126712,30126417,22743901,16535920,11525287,11525289,16535926,22743908,30126433,30126765,30120934,22738721,16531502,11521575,11521577,16531508,22738728,22739088,30121345,30126333,22743862,16535886,11525275,11525276,16535890,22743868,30126367,22744133,22744134,30124620,22742104,22742105,30124623,30126848,22744259,22743946,16535952,11525305,7667250,7667251,11525309,16531739,16531738,22739116,22739094,22739095,16536084,11525396,11525397,16536090,22744147,30126721,38703298,30126490,30126491,30126769,22744180,22744050,16536019,11525351,11525352,16536024,22744056,22744130,22744129,30126697,30126339,22743832,22743831,16535898,11525280,11525281,16535904,22743885,30126395,38701809,38701797,254792394,267980434,22742530,16534729,11524213,11524214,16534732,22742535,30123042,22744267,22744266,22744334,22744335,22740826,22740827,30123392,22744168,16536110,11525415,7667311,254362850,16536112,16534763,11524242,7666214,4850547,4850549,7666218,11522612,11522613,16532833,22740442,22740855,30123408,38700497,30126860,22744271,16536189,16536190,22744216,16536148,11525434,11522401,7664795,7664797,11522396,7667347,7667348,11525480,16536207,22740281,16532663,16532660,16532278,11522080,7664548,7664549,7665277,11522844,11522843,11522977,7665263,4849897,2922475,1695233,963974,963968,543217,543219,963971,1695223,2922454,4849848,7665017,4849755,4849754,7665014,11522616,16532838,11525467,7667341,7667339,11525462,1152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734967,38734966,46794427,38636154,30062202,22684883,22684885,29456722,29456721,38018729,47932611,47932634,39303804,30705908,23289705,23289474,17030051,17030052,23289482,23291467,23291468,30707809,30705704,23289561,17030094,17030093,23289534,30705648,39303478,39303594,30705740,23289582,17030103,17030101,23289575,30705729,38689663,38689660,38689659,48605257,39303917,39303674,39303673,49230724,60052104,60052097,60052066,48655769,48655768,60052068,49230982,39304015,30706123,30706124,30706735,38018706,38018777,29456757,29456758,38018781,39303739,30706811,23290570,23290569,30706806,39304630,49230356,60631583,60631796,49230570,39304676,39303472,39303471,39303775,49230799,39500142,39303642,30705779,23289602,17030109,11944935,11944936,17030114,23289610,30705793,39303660,39305168,39304391,30706544,23290355,23290357,30706552,28418783,21196434,21196433,28418740,28418709,22649073,22649072,30021929,30706434,39304282,38018712,29456706,22122710,16008862,11114465,7371628,7371629,11114469,11945037,7995394,7995395,11945041,17030249,17030960,17030959,23290432,23290433,23290442,30706638,39304455,30706796,23290557,23290555,256476461,30705464,23289392,23289311,23289250,23289251,17030613,11945314,11945316,17030617,23290168,30706344,23291011,17031284,11945840,11945838,17030234,17030235,23289749,30705963,30707058,30707304,39303954,39303185,30705402,30705389,23289299,23289300,17029920,17029918,23289305,23290375,23290376,30706566,39303854,30705969,23290937,23290939,23290932,23290930,23290563,17030944,11945568,11945567,17030857,17030878,23290479,17031268,17029991,11944863,11944864,17029979,11944851,11944849,11945323,7995559,7995560,255142181,7995205,5089610,5089608,3088871,1804064,1030080,580444,580443,1030077,1804048,3088844,5090061,5090085,5089912,3088750,1803986,1803985,3088747,5089792,7995486,7995487,11945195,7995586,7995587,9312869,6100485,6100486,9312871,13600501,17030783,17030785,11945782,11945780,17031208,17031585,12648813,11945728,7995849,7995850,11944742,17029841,11944841,7995258,5089639,3088604,3088602,5089627,7995236,11944761,11945797,7995899,5089996,3088796,1804013,1030066,1030064,1804006,3088783,5089979,7995834,5089954,3088767,1803998,1030060,1030059,1803993,3088761,5089935,7995805,7995992,11945366,9312860,6100480,3817006,3817005,6100477,9312853,13600512,19051807,23289319,17861934,17861935,23291414,23291415,23290847,17031144,17031143,23289234,18325244,13008252,11083735,7349918,4642429,2796215,254764005,255884659,256922171,59282626,270801851,46785583,268629648,28402986,269298512,269774409,112927783,261119731,140132763,126782315,261119731,152827253,152827264,152827252,140132762,140132760,152827248,164663803,164663809,164663810,164663811,152827260,140132771,126782320,112927788,112927787,126782318,140132768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7938654, s2 = 14102469, dlinesl.size( ) = 14 s1 = 3200880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6528429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8555848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8555848, s2 = 8307156, int(edited[s2]) = 0 s1 = 8555848, s2 = 8307156, d1 = 326, d2 = 286 Dl.O(d1) = 263584797,273215634,114694788,100649188 Dl.O(d2) = 86893839,73283213,60539252,49139304,39212506,30615926,30615927,39212509,49139308,60539256,73283221,86893845,100873370,114923611,128209915,114326957,100296573,86334461,72737021,60000061,48934495,48934494,39011075,39011076,48934521,60332380,73072869,73072891,73072890,73072921,73283149,73071223,73071221,60330706,60330707,73071235,72737013,60000056,60000058,72737018,73283224,86677456,86677505,86677506,86677510,86677509,100650290,100650289,100873358,86893831,73283206,60539248,49139299,39212513,39212512,49139311,60539253,73283217,258665792,271358979,100650306,86677459,73072849,60332359,48934498,39011063,30421651,30421650,23016390,23016391,30421659,39011084,48934534,60332398,49139218,49139219,60539169,73072831,73072830,86677447,259911792,73072908,60332406,48934539,48934538,60332403,73072824,60332339,60332338,73072821,86677442,100650292,86677519,73072914,60332409,60332411,73072916,86677438,86677513,86677512,259435347,73072817,258811301,60332377,48934513,39011070,30421655,23016389,16776200,11729332,11729333,16776203,23016396,30421664,39011096,39212433,39212434,39011053,30421645,30421646,39011058,48934490,60332352,73072841,73283395,78839352,73283233,73283231,86677503,86893820,86893819,86893938,73283407,73283405,86677440,73072910,73072911,73283187,73283399,86893944,86893947,86893949,100873450,114923646,128592986,114695708,100650284,86677437,73283234,73283236,73072792,60332312,48934464,39011032,30421636,23016381,16776196,16776197,23016383,30421639,39011037,48934474,60332323,73072805,61880174,50390530,40355623,40355624,50390535,60539262,60539565,73283148,60539463,49139523,49139522,60539358,60539530,49139637,39212834,30616177,23195533,16927686,11847470,7918359,7918358,11847468,16927685,23195528,30616197,39212864,39212806,30616148,30616149,30615942,23195374,16927605,11847429,7918340,7918338,11847422,16927595,23195358,30615922,39212492,49139285,60539157,49139526,49139527,49139179,49139174,49139621,49139620,60539525,60539182,49139230,39212441,39212442,49139231,49139632,39212830,30616175,23195510,23195509,23195478,16927656,16927655,16927681,16927685,23195528,30616197,39212864,256469341,23195308,255968333,30616172,30616173,30616105,30616106,39212741,257014063,49139200,39212709,30616080,23195455,16927645,16927646,23195457,30616082,39212382,30615842,30615843,30615831,23195309,23195310,30615834,23195488,16927661,16927654,11847448,7918348,5034189,3048013,3048012,5034185,254815423,16927626,23195413,30616014,39212629,49139461,60539400,60539503,49139585,49139586,60539404,49139465,39212635,30616018,23195415,16927627,16927628,23195417,256469365,39212693,30616069,23195450,16927641,16927640,23195446,30616063,39212688,49139162,49139156,269368519,39212407,255968339,16927579,11847415,7918332,5034178,5034177,7918329,11847412,16927573,23195316,30615846,39212384,39212776,30616127,23195485,255968357,39212371,30615835,255968343,16927609,11847440,11847441,16927639,23195443,30616060,39212686,49139514,60539143,49139194,39212410,30615862,268659273,49139442,58831460,60539096,258202435,49139189,39212405,30615858,30615859,30420142,30420143,30615855,30616028,30616027,39212374,268423583,23195313,30615839,39212380,49139159,39212772,39212771,49139582,60539460,49139519,49139518,49139482,39212653,30616036,23195425,16927631,16927633,23195428,30616041,39212658,49139403,60539342,257014052,60539409,73283129,60599881,49199171,49199173,49199184,49199166,49199167,47445414,37537362,28992182,21707875,15666033,15666032,21707870,28992178,37537353,39212614,30615999,30616000,257014049,39212377,39212378,39212768,49139578,60539280,49139349,39212542,30615949,30615948,39212538,49139340,60539273,49139424,39212593,30615977,23195389,16927615,11847432,11847435,255522483,30616006,30615981,30615982,39212600,49139432,60539303,60054243,60054242,60539385,73283278,60539330,60539329,61988060,61988019,50496116,50496117,61988023,60330864,48933053,257580079,257265470,39010697,30421329,30421320,30421321,39010683,39167463,39167462,48934101,60331910,73072398,60502032,60502033,61988081,50496185,40460277,31765750,24253776,17876119,17876118,24253770,31765745,40460272,50496172,53168556,53168555,65152883,73072016,60331526,60331527,73072019,78434785,73283273,60539322,49139382,49139380,60267507,60539310,60539309,70709386,70709387,73072357,73072359,73072364,66924699,256765606,34652458,257289555 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3203244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7679538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8419581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3204233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13633121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9225060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2341301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3205946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3205946, s2 = 12894435, int(edited[s2]) = 0 s1 = 3205946, s2 = 12894435, d1 = 105, d2 = 82 Dl.O(d1) = 100793078,114844373,128743142,142100500,154737587,166447077,177032352,186391570,194549348,264535369,212269728,212269729,264788939,207419381,264535371,216232779,219518165,219518161,265017161,212269721,207419373,207419372,212269725,212269724,212269725,212269716,212269715,264254091,194549344,194549345,201537428,201537439,194549350,194549348,264535369,207419376,207419377,207419368,201537439,194549350,194549349,201537436,264535371,216232779,219518165,219518161,265017161,212269721,207419370,207419371,212269723,216232770,212269721,207419373,207419372,212269725,212269716,212269715,264254091,201537425,207419365,212269713,216232767,219518158,265412249 Dl.O(d2) = 264045683,209262621,213758238,213758235,213758236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3205946, s2 = 12894435, dlinesl.size( ) = 2 s1 = 3205946, s2 = 12894435, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3205946, Dl.E( ) = 106, 4.6e-05 seconds used appending s1 = 13620099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6823184, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3474109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3475243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3475243, s2 = 7957585, int(edited[s2]) = 0 s1 = 3475243, s2 = 7957585, d1 = 53, d2 = 37 Dl.O(d1) = 114886066,260063084,258822126 Dl.O(d2) = 6125677,9352034,12974362,8831579,8831580,12974364,9661963,6353612,6353613,3987171,2389635,2389636,3987176,3986594,3986593,3987393,2389746,1383328,1383329,2389751,2349867,1383355,1383357,2389811,3987502,6355361,9664827,9664100,9664098,6354958,3987260,3987258,6354949,9664120,9664174,10721240,15503031,255305445,14055052,19613899,26342666,26339099,19610605,19610606,26339100,26342458,34216148,257265665,43311558,257265921,256185839,26343006,255538029,255305083,14051453,18947325,18947324,25560158,33322218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3475243, s2 = 7957585, dlinesl.size( ) = 20 s1 = 3475248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3475248, s2 = 9134035, int(edited[s2]) = 0 s1 = 3475248, s2 = 9134035, d1 = 0, d2 = 6 Dl.O(d1) = 114886138,114886139,128781960,114886174,100835934,86855212,73242496,60495695,49092461,49092460,60495693,259446379 Dl.O(d2) = 260662513,100835929,86855207,261783589,128781967,114886153,100835904,100835905,114886154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3475248, s2 = 9134035, dlinesl.size( ) = 2 s1 = 3475248, s2 = 9134035, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3475248, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14165278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165278, s2 = 3221158, int(edited[s2]) = 0 s1 = 14165278, s2 = 3221158, d1 = 118, d2 = 125 Dl.O(d1) = 232198061,230873254,229394333,227728839,265217388,223653596,221141290,218206634,214712537,210465819,205268006,198987578 Dl.O(d2) = 237620366,236840445,235982239,235039267,234002935,232865514,231609688,265888501,226842370,224786992,222419099,219660402,216393953,212455009,207637861,201795436,194854644,186744894,177432616,166888209,155196858,142553600,129177641,115247256,101170279,87173024,73555293,60808894,49408617,39479243,30874529,30874530,39479245,49408618,258222647,73555295,87173026,101170281,115247258,129177642,142553602,155196860,166888211,177432618,186744896,194854646,188751195,179768166,169568404,158190283,145821495,132605059,132605060,132605116,143056607,145821497,158190284,169568407,168421901,168421902,168421904,156971147,144570267,131344817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165278, s2 = 3221158, dlinesl.size( ) = 6 s1 = 8478581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1752988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1752988, s2 = 8478580, int(edited[s2]) = 0 s1 = 1752988, s2 = 8478580, d1 = 7, d2 = 7 Dl.O(d1) = 46386783,40787840,32030914,32030915,31862103,24339908,17949550,12719400,12719401,17949553,24339913,31862111,40563725,50604797,62103471,258199510,100842087,100842088,262426515,118338862,259709688,41296344,32454958,255698576,8857587,5773218,5773217,8857585,13010072,17304164,17304165,23618107,31102714,31103268,28854897,21582281,255043243,10761533,15558374,21582289,18571543,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994298,22105251,29438333,27244549,27244524,27244526,28855778,21583001,15559083,15559084,21583313,21213109,21213110,21584144,25460642,28856046,37396883,39330202,30731857,23313105,17050356,11961348,11961350,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372243,29728977,38295811,35368489,27244571,27244570,35368487,268662076,60657212,256425442,39330100,49256721,42161581,33201688,29778552,29778551,38350802,48261675,59648745,70507102,58182885,49798673,39778878,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,31101846,39779614,48261489,39330054,39330055,256478664,39780744,31102211,31102212,39780747,49800017,49799362,39779745,39779746,49798313,49798375,49798374,49799924,39780602,31102078,31101822,31101823,39780360,38350513,29778283,22413591,16249181,255471159,29778276,29437761,22104887,22104888,29437765,38000679,47916621,59310658,49256683,39330060,30731760,30731761,39330061,39781017,48351337,38449119,29892315,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,25460174,23617345,17303751,12181343,8212956,8212955,12181337,17303740,23617325,29438165,29438166,38001167,39330627,39779806,39779805,48351307,39779802,35080288,35080287,39407161,39407163,42161481,33206981,33206982,39407208,37499414,34111542,34111543,34111583,42166964,33206779,25459158,255530032,42166961,39407211,255981261,255147427,12019709,17105561,23374974,25455167,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,424163,239454,239458,424176,746373,254299535,6013009,7462293,7462291,5491792,3382198,1991658,1991659,3382187,1991651,1991652,3382188,5491774,8491105,5491911,5491912,8491320,12530037,8491149,5491805,3382207,3382204,2778042,1611630,1611629,2778038,4613557,7309693,11034957,15913291,11034887,10930807,10930808,15779485,15913149,11034768,11034770,11034797,11034796,11034787,7309564,7309562,11034785,15172517,21119898,16832560,16832559,15913158,15913157,17713037,21028139,24068967,24069110,24069109,31574616,29346888,22014874,15913289,11034886,7309645,4613525,4613524,6810999,6811000,10345318,11034841,15913238,21028123,15103693,10417346,6867360,6867361,10417349,15017355,10345323,10345324,15017357,268373141,15913233,15103688,15103690,11034721,11034720,11284481,11284482,10417300,6867329,6867330,10417302,15103620,21028105,22670771,16474954,11771103,7858893,7858894,6867340,4310119,4310118,6867337,10417313,11034980,268081127,21028109,15103625,15103624,12530066,8491175,8491174,12530064,10417307,10417306,15103631,21028116,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530236,17713334,22299630,22299631,29651561,38217876,38217871,31574840,24069304,17713323,17713324,24069305,31574841,40261909,48128022,38217847,29651454,24069367,17713400,12530290,12530289,16154166,11223144,11223145,16154169,255243574,16154087,11223085,7446658,7446659,11223088,16154091,22299537,29651508,31122088,23636055,23636056,23832428,22299555,22262923,16122533,15779500,15779499,21850287,29158699,254373896,38217924,254729370,16154252,16154251,22299685,22299768,22299769,29651387,22685384,16486203,11486704,11223288,7446778,254332798,254332800,1644249,934931,934930,254237039,4704924,4704969,2834309,2834310,4704973,4704949,2834299,1644252,1644253,2834306,4704963,7446698,11223158,12195522,12195523,16154138,11223120,7446678,7446679,11223121,16017444,16017443,22132833,29468091,28807298,21540206,15524112,10736553,7093686,4466317,2683291,2683290,4466316,7093685,10595693,8332726,5378076,3307075,3307074,5378075,8332722,12334609,17493742,22299508,16154380,11223298,11223299,16154381,17828329,23832432,17493801,16154240,11223198,7446723,4704979,254353274,11223195,11223189,7446718,4704978,2834313,2834312,4704975,7446713,7446649,7446647,11223072,11398622,7925506,5038198,5038197,7925504,7299024,7299023,11024365,15902253,17018493,17018494,255824906,23832531,17493897,255133858,8332786,267899382,17107389,254497918,5177679,5177681,8081702,12021556,11178803,11178802,16094559,22228361,16094521,12334633,12334632,16154211,22228400,29575758,29828761,28532854,28532853,31099868,29828765,22461462,22461461,22461473,16293506,255475351,22228380,16094536,16094538,16293946,16293547,11336342,7533332,4765446,2872703,1667221,948323,534623,299745,166024,166025,299746,534625,948327,1667233,2872724,4765487,7533395,11336448,14522851,271662871,150538993,162658116 Dl.O(d2) = 46386783,40787840,32030914,32030915,31862103,24339908,17949550,12719400,12719401,17949553,24339913,31862111,40563725,50604797,62103471,258199510,100842087,100842088,262426515,118338862,259709688,41296344,32454958,255698576,8857587,5773218,5773217,8857585,13010072,17304164,17304165,23618107,31102714,31103268,28854897,21582281,255043243,10761533,15558374,21582289,18571543,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994298,22105251,29438333,27244549,27244524,27244526,28855778,21583001,15559083,15559084,21583313,21213109,21213110,21584144,25460642,28856046,37396883,39330202,30731857,23313105,17050356,11961348,11961350,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372243,29728977,38295811,35368489,27244571,27244570,35368487,268662076,60657212,256425442,39330100,49256721,42161581,33201688,29778552,29778551,38350802,48261675,59648745,70507102,58182885,49798673,39778878,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,31101846,39779614,48261489,39330054,39330055,256478664,39780744,31102211,31102212,39780747,49800017,49799362,39779745,39779746,49798313,49798375,49798374,49799924,39780602,31102078,31101822,31101823,39780360,38350513,29778283,22413591,16249181,255471159,29778276,29437761,22104887,22104888,29437765,38000679,47916621,59310658,49256683,39330060,30731760,30731761,39330061,39781017,48351337,38449119,29892315,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,25460174,23617345,17303751,12181343,8212956,8212955,12181337,17303740,23617325,29438165,29438166,38001167,39330627,39779806,39779805,48351307,39779802,35080288,35080287,39407161,39407163,42161481,33206981,33206982,39407208,37499414,34111542,34111543,34111583,42166964,33206779,25459158,255530032,42166961,39407211,255981261,255147427,12019709,17105561,23374974,25455167,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,424163,239454,239458,424176,746373,254299535,6013009,7462293,7462291,5491792,3382198,1991658,1991659,3382187,1991651,1991652,3382188,5491774,8491105,5491911,5491912,8491320,12530037,8491149,5491805,3382207,3382204,2778042,1611630,1611629,2778038,4613557,7309693,11034957,15913291,11034887,10930807,10930808,15779485,15913149,11034768,11034770,11034797,11034796,11034787,7309564,7309562,11034785,15172517,21119898,16832560,16832559,15913158,15913157,17713037,21028139,24068967,24069110,24069109,31574616,29346888,22014874,15913289,11034886,7309645,4613525,4613524,6810999,6811000,10345318,11034841,15913238,21028123,15103693,10417346,6867360,6867361,10417349,15017355,10345323,10345324,15017357,268373141,15913233,15103688,15103690,11034721,11034720,11284481,11284482,10417300,6867329,6867330,10417302,15103620,21028105,22670771,16474954,11771103,7858893,7858894,6867340,4310119,4310118,6867337,10417313,11034980,268081127,21028109,15103625,15103624,12530066,8491175,8491174,12530064,10417307,10417306,15103631,21028116,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530236,17713334,22299630,22299631,29651561,38217876,38217871,31574840,24069304,17713323,17713324,24069305,31574841,40261909,48128022,38217847,29651454,24069367,17713400,12530290,12530289,16154166,11223144,11223145,16154169,255243574,16154087,11223085,7446658,7446659,11223088,16154091,22299537,29651508,31122088,23636055,23636056,23832428,22299555,22262923,16122533,15779500,15779499,21850287,29158699,254373896,38217924,254729370,16154252,16154251,22299685,22299768,22299769,29651387,22685384,16486203,11486704,11223288,7446778,254332798,254332800,1644249,934931,934930,254237039,4704924,4704969,2834309,2834310,4704973,4704949,2834299,1644252,1644253,2834306,4704963,7446698,11223158,12195522,12195523,16154138,11223120,7446678,7446679,11223121,16017444,16017443,22132833,29468091,28807298,21540206,15524112,10736553,7093686,4466317,2683291,2683290,4466316,7093685,10595693,8332726,5378076,3307075,3307074,5378075,8332722,12334609,17493742,22299508,16154380,11223298,11223299,16154381,17828329,23832432,17493801,16154240,11223198,7446723,4704979,254353274,11223195,11223189,7446718,4704978,2834313,2834312,4704975,7446713,7446649,7446647,11223072,11398622,7925506,5038198,5038197,7925504,7299024,7299023,11024365,15902253,17018493,17018494,255824906,23832531,17493897,255133858,8332786,267899382,17107389,254497918,5177679,5177681,8081702,12021556,11178803,11178802,16094559,22228361,16094521,12334633,12334632,16154211,22228400,29575758,29828761,28532854,28532853,31099868,29828765,22461462,22461461,22461473,16293506,255475351,22228380,16094536,16094538,16293946,16293547,11336342,7533332,4765446,2872703,1667221,948323,534623,299745,166024,166025,299746,534625,948327,1667233,2872724,4765487,7533395,11336448,14522851,271662871,150538993,162658116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1752988, s2 = 8478580, dlinesl.size( ) = 2 s1 = 1752988, s2 = 8478580, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 1752988, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 6855332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6855332, s2 = 13257476, int(edited[s2]) = 0 s1 = 6855332, s2 = 13257476, d1 = 16, d2 = 18 Dl.O(d1) = 259314586 Dl.O(d2) = 12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383066,12404207,12264438,8282358,5343440,5343439,8282354,11544216,16553330,16553305,16553303,17538646,23734580,23709194,23709195,23802604,23802603,23892628,23892629,31209894,23723799,17546226,12488240,8458418,5465287,3360733,3360732,5465282,8458402,12488201,17659913,23737768,23726373,17404149,17404148,16345378,11373275,11373273,16345369,254726216,38434817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6855332, s2 = 13257476, dlinesl.size( ) = 2 s1 = 6855332, s2 = 13257476, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6855332, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 14307947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14307947, s2 = 10173738, int(edited[s2]) = 0 s1 = 14307947, s2 = 10173738, d1 = 17, d2 = 25 Dl.O(d1) = 19423257,26116514,33953402,33953412,26116528,19423264,13896846,9537812,9537813,13898690,19425309,20325407,20325408,27259547,33953368,33720244,33720243,33953701,26116782,19423519,19423520,26116785,33953703,35384821,27259509,27259511,35384830,43012689,53190444,42740909,42740908,53190440,48086315,38174037,38174034,40515727,255538796,27259541,27259542,31818998,31818999,37340550,28802544,21536071,255041205,10734390,254575056,28802551,24830225,18336843,18336842,24830223,254387866,42780794,38131798,29565944,22220067,16088066,255457067,29565946,38131802,38843781,38843745,30259958,30259957,38843741,30630164,30630165,38843732,30259954,22864077,16636894,11605302,11605303,16636897,22864082,30259966,38843763,48763355,39481706,39481704,49411510,41315089,41315090,269466003,58632812,47239476,37329720,28792616,28792617,37329724,47239479,58632814,48763363,48763364,48045194,48045193,49154280,39227994,39227996,49154282,54676735,66933448,80359379,72893064,72893065,73297119,60554139,60554140,60157144,48763378,38843779,30259973,22864085,22864084,30259970,38843772,48763374,48763352,48763353,60157123,71369405,73125968,60385749,48988168,39064608,30472786,23062654,23062655,30472790,39064620,30472799,30472798,39064630,257583431,73125956,60385739,60385738,54676737,54676736,60385782,73126005,258222918,60157094,72893035,62684173,60811877,49411505,39481691,39481690,49411503,60811875,269375911,39481708,39481707,49411516,60811886,258845609,92516922,86907231,86907232,84532718,84532719,86731447,258436768,114753457,128652700,123609193,109415293,95159755,81101867,67636264,55298416,44453978,35079056,26994352,20103662,14414133,14414132,20103660,26994344,33319032,42299730,34978447,34978446,43054949,43054947,44355926,37071097,33996146,33996147,43054944,47669178,47669177,47358775,38384010,29811705,29811704,33319046,34978377,36714372,38383969,29811671,22444585,22444586,29811676,38383973,48285005,256409975,22436536,22436535,29802537,38374270,29811810,22444667,16275693,11317362,7514628,4750454,4750453,7514625,11317353,16275677,22444636,29811757,38384081,29811912,22444735,16275729,16275728,22444729,22444468,22444469,16275852,16275853,22444961,29812281,38384691,38384655,29812256,29812255,38384650,39497880,38383532,38383533,29811549,29811548,38383835,256341262,22444339,22444340,29811321,29812111,255913807,16275509,11317270,7514581,7514582,11317272,16275513,22444332,16275637,11317332,7514614,4750450,4750449,7514609,11317319,16275612,22444516,29811571,38383853,48294398,47400549,47400547,38384574,38384573,48294907,47669126,37747197,29812324,29812323,37452421,34669157,28913002,21638798,15607119,15607118,21638795,28912992,22313571,22313569,22444395,16275547,16275546,22444393,29811394,38383642,47981029,38068845,29505442,22165559,22165560,23353282,23353281,30777179,38383578,36455770,27997365,20833133,14934611,14934613,20833137,27997373,23457795,17179491,17179490,23457792,30890564,29394264,22063883,22063884,29394268,37958890,38384611,38384568,38383764,38383765,37452329,37452330,34669137,34669138,43943320,53718504,48112865,38201739,29634836,22282460,22282459,23294281,17034619,17034618,23294277,29161686,23107401,16849340,16849339,19794058,16043124,11139595,11139596,255433430,34118946,43206167,34119391,26254539,19536428,13988664,9609708,6311899,3955935,2368978,2368977,3955930,6311889,9609687,13988628,19536361,26254428,34119243,38971311,43206012,34118789,34118787,43206007,35240270,35240272,37421356,37421485,37747153,29186112,29186110,37747146,47669073,59068849,57880873,46524730,44623129,35240323,27143837,27143838,27143784,20235221,20235220,27143780,20235239,20235238,27143812,35240296,44623102,52663596,42276232,42276231,43206523,41826366,32902041,25191439,18630495,18630494,24706001,24706002,32320400,41134098,46267777,36415129,27956998,20795457,20795456,27956995,36415123,32185559,24598443,18151416,18151417,24598447,32185566,39302836,46738079,51106837,40964875,32185572,24776248,18296346,18296345,24776245,28358598,35227323,35227321,37421475,28879572,21603970,21603972,28879578,29773965,38345205,48255591,39302755,39302754,49229881,40514501,34118816,26254095,26254094,26254162,19536204,19536203,26254157,34118901,41134094,41134093,51317661,47669310,37747395,37747396,40964844,40964846,41847361,38193839,29626886,22275243,22275244,29626888,38193843,41847364,41847365,254428384,39302770,38609522,38609521,48524940,47669347,46670956,36784843,28288424,28288425,32185548,32185550,29575933,22228573,16094666,16094665,22228569,22285818,16142179,16142178,22285814,21157832,18151426,12871280,8753154,8753155,12871283,18151432,24598466,30551414,26663443,26663445,34655062,31533237,24031087,24031085,31533231,256071256,32146294,24563540,18124146,18124145,24563539,32146292,37784928,29223117,29186316,21874829,21874830,24178855,24178856,29034962,36537147,28070240,20898961,20898962,15527915,15527916,21544868,28812770,37351379,29186304,29186148,29186149,33205200,32320128,24705725,24705723,255231594,256087128,37252187,39203791,49130597,60530794,73275288,86886735,260065637,128814574,142169296,154803437,154797460,142163257,128808503,114911431,100861003,100861002,114911429,128808501,142163255,154797455,154797454,142163253 Dl.O(d2) = 777747,441325,441327,777649,777747,441325,441327,777649,1364403,2354593,3933117,3848626,3848630,6150571,9358740,6130202,6130203,254936939,9495345,6227705,3899029,3899028,6227701,9495335,13842562,19354437,25268919,18697078,18697077,22173882,16049390,11143954,11143955,7391653,4669823,2813499,2813498,2813487,1632280,1632282,2813492,4669805,7391617,11143962,16049404,22173900,29515468,29515556,22173977,22173978,29515558,22173999,22173778,16049371,16049370,22173861,29515416,29515345,22173805,16049349,16049328,16049327,22173800,29515334,37768487,29206938,21893543,21893544,21893546,18946785,18946786,16049485,16049484,22174019,29515607,38079739,29515246,22173739,16049297,16049299,22173744,26031945,255890580,255453304,22173969,16049460,16049461,16049481,11144005,7391639,7391638,11144001,16049475,22173871,16049379,11143945,11143944,16049374,16049459,16049458,22173934,16049429,11143976,11143975,16049425,16049438,16049293,16049292,22173736,22173844,22173843,22173834,22173836,29515379,29515404,29515403,29515448,30503086,29515359,29515358,38079790,29515298,29515299,38079794,47869223,47869246,37951253,29386653,22056604,15952870,15952869,22056600,29386648,37768475,39310686,46772995,58140863,58140869,46775418,46775419,37758923,29197452,21885168,21885169,23296479,17036663,17036664,23296481,30713008,39310697,46772924,36894689,28397182,21177090,21177089,28397179,36382064,36382063,36894758,28397230,22160189,22160190,29498875,22173973,22173972,25808976,25808977,21177134,15217172,15217171,21177128,28397245,28397257,36894791,38079964,38079965,46781518,52526406,42168453,42168452,36894805,28397275,28397274,36894803,36909022,38784235,46773025,46773026,49237513,39310717,30713034,23296500,23296501,30713036,36894096,36894095,46771847,46772914,36894675,28397174,28397173,36894672,38079918,36905762,30712996,28397226,28397227,21179587,15219070,15219071,21179590,21177151,15217183,10496826,6921737,6921738,10496828,15217186,21177156,28397279,255933008,36905761,36905758,36905759,256105728,39784470,36905763,36894761,28397231,21181251,15220373,10498957,6923059,4349249,2604827,1503247,852175,481324,481325,852176,1503251,2604837,4349268,6923092,10499011,15220464,256130628,21180037,28400538,21187766,15225295,10502231,255020765,21187764,28409134,36906469,38061506,46783772,41963845,33021059,25294968,18720763,18720764,25294973,23052769,16806819,11752680,11379483,7560202,7560201,11379479,16352653,22525623,29881337,36894261,46772506,58140428,59364005,59727240,59727239,62745122,62626844,62024230,50532365,50532366,62024234,62745428,51114042,40971815,32192047,24604020,18155858,18155859,24604024,32192056,32192108,32192107,40971893,51114114,62745478,70951903,66010503,53940113,53940112,58219541,46851676,46851675,51113965,40971733,256071731,18155841,12874745,8755729,5700618,5700619,8755731,12874751,255615747,256582249,33665154,25858812,19201344,19201345,256674851,32191756,32191755,40971437,51113478,49871179,39848920,39848921,49871180,47015252,37127915,28616552,21380319,21380318,28616551,37127913,47015247,47011295,37124348,32192398,32192397,40972223,47015102,40971322,32191658,32191657,40971316,40972212,40972213,46785922,46785924,58153413,257064922,51114023,47015182,47011276,40971344,32191676,24603771,18155688,12874632,8755662,8755663,12874636,18155694,24603787,32191706,40971401,51113634,51343900,51114351,40972146,40972145,47015089,46851842,40972242,32192409,24604301,24604302,28616477,28616478,37127811,47015153,40971765,40971766,51113992,46785944,46785943,58153432,70867607,256582296,62745911,75693331,77310897,257647498,256630701,33027293,41970437,257426307,257506152,257506150,47906266,37990167,37990168,37999903,47915868,59301251,47906260,47906259,37999802,29437057,22104370,22104369,29437054,37999799,47915742,46772809,46772810,58140729,59310090,47915932,47915931,59310088,55343269,44496923,35119500,27032576,20139732,20139730,22104393,15993747,11102787,7362978,4650813,4650815,7362984,11102800,15993763,22104429,29428291,37990164,46445172,36579911,28107800,28107801,36579914,37999796,37999795,47915739,59301254,47915919,37999947,29437143,29437144,37999949,47915923,49871220,39848949,39848948,49871219,55343183,49871512,39849292,31167265,31167264,32141810,24559673,24559674,31167110,23678831,23678832,31167113,39849076,49871353,61353168,258871942,51059526,49871276,39849346,31167306,23678952,17358694,17358693,23678950,31167198,39849196,256507305,268252345,17358605,23678789,31167043,32141826,32141821,32141823,39848903,31166987,23678756,17358592,17358591,23678752,31166983,23678955,17358695,12228770,8256557,5326494,3273964,3273963,5326489,8256546,12228750,17358649,23678879,31167182,38523857,31166997,23678765,23678766,31167000,39848925,49871184,61353009,64581236,52680738,42294157,39464990,39464988,31167131,31167130,39849103,36907134,32141839,32141840,40918965,40918836,32141723,24559621,18121102,12849173,8737624,5688305,5688307,8737628,12849180,18121116,24559642,32141759,40918875,51059463,51599711,53493214,43014926,39849131,31167147,23678857,17358635,12228742,12228743,17358638,17358667,23678910,31167237,39849246,39849343,31167302,23678947,23678948,23678807,23678808,23678813,23678812,30860718,23430164,23430163,30860713,39464992,32525251,24881678,24881677,32525249,41374518,32525259,32525257,32525508,41374829,51599925,51059448,40918856,32141763,24559644,24559643,32141760,40918877,41374756,39849087,31167120,268676057,49871362,59546896,48159916,38250761,29685662,22333548,255904433,38250766,40918915,41374742,32525446,24881794,268133709,13057722,18383503,13057761,8897714,5806002,3621320,3621319,5805996,8897682,5805982,5805983,8897684,13057715,18383488,24881809,32525467,34090243,26228870,19513497,13967998,13967997,19513495,26228868,24378579,24378580,31910154,32525238,24881671,256089405,256089403,24881667,32525234,29881367,29881366,38439537,48159928,256400761,22333554,16186558,16186559,22333556,22333561,21859042,21859041,29168348,29685680,29685681,38250781,48159945,59546911,269469159,41374701,32525406,24881768,24881750,24881751,256500605,256100327,18506638,25041273,32729151,37728459,47650323,268944251,29685689,22333566,16186568,11251409,7468839,7468834,11251398,16186552,22333541,29685645,38250734,48159892,41966635,33023797,25297526,25297527,29168357,37728468,47650336,59051466,49756933,39738083,31059908,31059907,257046185,49756937,39738096,39738095,33023852,25297564,25297565,33023855,41966712,41966684,41966683,51599787,63323508,257332816,59546883,59546884,52307081,41966679,41966677,41966629,268944253,38250834,48159990,47650332,47650333,41966691,33023835,25297554,18723158,13328531,13328533,268292463,33023848,41966652,41966653,38250925,29685792,256400775,48160077,51599739,52307073,41966671,41374615,41374616,51599747,59547010,64158448,52307086,48323120,48323122,59710748,52067117,41753096,41753095,52067115,63885350,64158440,72054793,72054794,77306569,72281421,61471241,61471242,59546960,59546959,58301161,46935058,46935059,257322359,35225380,35225379,257322357,44606193,55454765,63323490,51599752,51599753,47928043,47928042,58301167,58301168,63323486,51599749,51599748,41374629,32525341,32525342,32832082,25127088,18574603,18574604,25127090,32832087,37056651,256595872,47928047,47928049,59320353,269334958,29451828,22117999,22118000,29451829,38013917,42773987,42773988,53224624,49764700,39746172,35328517,29451846,29451847,29451883,22118035,22118034,29451881,38013990,44745963,44745962,39746200,39746199,44756290,44756291,38334884,29764132,22401644,22401645,24286344,31800391,40495482,41427595,32567330,31976821,24423185,24423184,269021257,49764674,49764673,49764682,39746149,31067946,23583590,17271004,17271005,23583592,31067949,32567795,38264301,41427401,32567136,32567135,41427399,40495450,31800360,24286318,24286317,31067940,23583585,23583584,31067936,39746142,31800341,24286307,24286306,24914723,18408719,18408718,24914721,32567183,41427448,51669528,62670341,62670284,51042005,48292507,47680344,37758138,29196646,29196647,24547992,18112597,12843504,12843505,18112600,24286291,18112640,12843527,8734033,5686139,5686137,8734032,12843522,18112630,17905368,17905367,17905475,12684768,8616038,5600719,5600720,8616043,12684741,17905413,24286278,29196637,29196636,37758128,47680334,51042145,62670355,71968118,71968119,74820135,62023201,51670124,257745506,51670167,51670166,63413086,51670119,51670120,46337306,36481343,28020056,28020059,36481348,31268959,23783824,23783826,31268964,24294587,24294588,29341554,29341553,37910662,39213977,39213978,39943758,39943759,36944489,28444946,21219012,21219014,28444953,23783842,17453582,17453580,23783839,31268936,39943653,42330759,33349328,30709748,30709747,31268920,23783801,23783802,31268922,39943639,37395998,29341562,29341560,37910673,31269024,30702802,30702803,33321198,42301879,39943585,31268883,31268882,39943584,39943743,31269088,256476117,30702821,36481435,257158037,39214031,30617246,23196417,16928391,16928390,23196414,30617242,39214027,39943748,31269028,31268972,23783833,23783832,31268970,37395993,41428335,37396010,37396011,37797844,29235251,21917741,15834062,15834063,21917743,29235255,28855250,21582600,15558576,10761660,7110571,7110570,10761656,15558574,21582594,28855245,31269134,23783953,17453641,268254267,31269136,30503183,30503182,30752602,23330260,23330258,17453626,12303841,12303843,17453630,23783926,23869690,268638302,30617285,29338482,23869713,23869714,23869717,31364161,40044381,39943850,39943847,49140964,40044382,31364163,31364162,257070305,60540653,59197473,49140716,39213862,39213859,39213860,49140714,47829146,40789432,40789433,39213985,39213984,30617400,23196528,23196530,256469481,23196344,16928345,11847981,11847977,16928339,23196327,30617149,256720846,39535306,39535305,254962324,31460542,23964879,17614920,17614921,23964882,31460549,27937668,20784340,14896545,14430213,14430214,20121800,27014367,35101329,44478415,55324589,55324586,55324587,67664550,80338208,77907196,77907195,91827940,102033935,90626391,257088648,51871556,41579655,41579657,51871566,63668232,55088059,44252841,34893118,26831879,19963287,19963288,19954033,14288800,14288802,9830770,6457975,4047985,2423372,2423369,4047859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14307947, s2 = 10173738, dlinesl.size( ) = 2 s1 = 14307947, s2 = 10173738, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14307947, Dl.E( ) = 28, 2.31e-05 seconds used appending s1 = 3209732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3210180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6740343, s2 = 13806188, int(edited[s2]) = 0 s1 = 6740343, s2 = 13806188, d1 = 72, d2 = 9 Dl.O(d1) = 257923864,50112603,59290743,259361701,113582482,127458602,140818903,128833747,114934526 Dl.O(d2) = 128833751,142190916,154826585,262484350,261451942,142190925,154826617,166531644,263204849,263944379,207466362,274147450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 8504175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3211416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9518222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9176366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10211516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10211516, s2 = 15284173, int(edited[s2]) = 0 s1 = 10211516, s2 = 15284173, d1 = 8, d2 = 17 Dl.O(d1) = 16952693,11865122,7929767,5040883,3051817,1777818,1013551,571324,254099579,291073,519062,920530,1618363,2789526,4630513,7330103,11054801,15931445,15931446,15932939,15931954,15931953,15931947,11055049,11055048,15931944,22033405,29363854,22034075,255070503,11055692,255070489,11055580,15932523,22033947,21262658,15299855,15299856,21262660,28480467,36977813,38070155,256928213,37930808,29364323,22033751,15932345,15932347,22033761,256019484,23942745,31433814,31433776,24058526,17703601,12522014,8483737,8483736,11940056,7991201,7991202,11940061,17025040,17703645,12522042,8483754,8483755,10846860,10846859,15668435,21710683,28995141,24065152,17709623,12527377,12527379,17709603,12527367,8489010,8489011,11061540,15940825,14518317,14518316,15940810,15940808,17823554,12619584,8566207,5562174,3446143,2040447,2040448,254379437,1801033,1027897,1027899,580072,580071,1029464,1014564,571889,571888,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,1013793,1013794,1020561,1789731,2714081,2714080,3085640,1801382,1028155,579331,324091,179060,98504,54470,30804,30805,54477,98464,178983,323963,579201,1027960,1027553,1014466,571828,320311,177241,97654,97652,97676,54087,30631,17695,17696,30639,54107,97723,177390,177267,177265,320369,571947,254174905,3054180,3055220 Dl.O(d2) = 5087666,3086783,1802337,1028848,579728,324243,179128,179129,324248,579734,1028861,1802360,3086819,5087715,4127686,2469137,2469138,4127691,6588421,8310933,7938995,7938996,7939241,5084098,5084096,7938763,5048698,5041556,3064094,1786188,1018576,574040,574041,1018581,1786201,3064114,4400598,4400597,3072549,1791988,1791990,3062865,1785402,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063477,5056578,7950543,11875714,11875715,16963799,11890163,7949940,7931463,254561865,5042492,5049576,3059504,1783615,1783617,3059506,5049580,7939711,7951697,5057443,5057444,7951700,11889587,11889588,11876016,7939062,7939063,11678499,11867882,255138865,23228721,22952893,16716208,11691738,7797803,7796266,4943745,2983597,267767863,984712,254127293,553435,983030,1728407,2977849,3058544,2977447,1728168,982416,982417,1728171,1728342,1728344,2977755,3296578,2978864,2978865,2983244,2983245,2982402,1731264,984192,984191,1731262,2982398,4942226,7783844,7789364,4938702,4938703,7789367,11681212,16718584,11678206,7786718,7786719,7787954,4937665,2979484,2979483,4937662,7787947,11679500,10479291,10479288,11931492,7984525,5081681,3082081,3082084,5081689,7984542,11931512,17015821,11931335,7984392,5081605,5081606,6001076,9168847,11679539,7974334,7974332,11919826,11689001,11685345,11685346,11932043,11932040,16972122,16980857,16140606,11212894,7440007,4701130,2832242,1643173,1643172,2832239,4701123,7439997,10450596,10450595,15153351,11928145,7981589,5079807,3081058,1798133,1026062,267769093,254378997,7981599,11928160,16965259,16965258,11951610,11885945,7946435,7946434,11877109,11951584,11931980,11931981,15669592,16139076,11211309,7438826,4700431,4700430,7438820,11211300,10878754,7192366,4531096,4531097,4531040,4531043,7192278,10878607,7973998,7973997,11919384,17006034,17017900,11933926,11933924,11883540,7944694,5052534,5052535,5090741,5090740,7944657,7944658,5081774,3082128,1798656,1026301,1026300,1798655,254379073,7984675,11931686,17016134,23275337,30690382,39287596,49214257,60614937,73359714,86971222,100955478,260670697,100955477,115009703,128911827,142263616,142263615,154897696,262776601,176367120,166597730,166597729,177170513,186517495,263947527,201640626,207512433,274111397,219582178,222349720,224725271,225750150,223555197,221022498,218060486,214527567,210229605,204970985,198624838,191134014,182430333,172477920,161277372,148971542,135732497,121792879,107410123,93001960,78892139,78892140,65557127,53532250,43052355,33993485,33993484,29483064,22144965,16026387,11637544,11637543,11584799,7710989,7710988,11584791,16038142,11136092,11136091,16038137,22159265,26151795,19453085,19453086,15440555,10674805,10674806,15031458,10359287,6823211,6823209,10359283,11136226,7386551,4666481,4666484,7386557,11136231,16038179,22159318,255116122,47973066,47972809,38060633,29497781,29497782,29498589,22159816,22159817,29498591,33993622,26152081,19453316,13921161,9554992,9554991,13921155,19453306,16038576,11136417,7386672,7386671,7386616,4666525,2811358,1630962,927471,927469,1630954,2811344,4666497,254766341,16038376,22159524,29498343,38061113,47973214,54631510,43888097,34615935,34615934,43888095,34616064,26626428,19815546,254963711,9757696,14194107,19815543,19815804,15635933,10820201,255048083,21673602,25134148,18580474,13204120,9001279,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,25133576,18580087,18580090,25133587,29753330,25704394,19077840,13620205,13620201,19077821,25704374,21673759,21673757,23126765,24011576,17664481,17664478,13209448,10606259,6997913,6997911,10606250,15353342,21325432,17802540,17802538,22432842,22432841,29799320,26414278,25690151,25132691,25132689,32837815,25134334,25134333,31511746,26628449,19817252,19817253,26628453,32839592,32839583,25134272,22678490,22678492,29442575,27213210,27213211,30038906,22663306,22663305,30038900,31640439,33298842,33216847,25470089,18869941,18869938,21673809,18580077,13203900,9001156,5876461,3669138,3669134,5876466,9001170,13203599,18579542,25132768,29880168,29319984,29319983,37888394,33541024,33541025,42557334,34617641,26628041,19816902,14195058,14195059,19461779,26161877,33417222,25649368,19031245,13584325,9301487,9301485,13584315,13920900,13920902,19452881,13924823,13924822,19457538,19082739,19082740,23374648,21989132,21989131,29317660,30433150,23026915,19466985,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484568,11275123,16219542,22375330,29523920,29523918,38087857,43063354,37888914,29320612,28951126,21671224,21118793,21118792,28329414,36824968,43066734,34009009,26167318,19466740,19466739,254930722,254659238,17055420,17717752,14047542,11018313,7294366,4600187,2767685,2767683,4600180,7294345,11018271,15894033,21991557,19565684,19565683,21991834,15894238,11018372,7294394,7294395,11018378,15894249,21990997,15893697,15893699,21990998,29319748,37887066,37887064,33287831,33287833,255149118,61840633,74632820,88263149,102261318,116355496,130193607,143522588,156058443,260681926,187355322,195391717,202263239,199364960,192004988,183449499,173662645,272878498,95318736,81258495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10211516, s2 = 15284173, dlinesl.size( ) = 2 s1 = 10211516, s2 = 15284173, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10211516, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 3944816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9162872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8091166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8091166, s2 = 13477814, int(edited[s2]) = 0 s1 = 8091166, s2 = 13477814, d1 = 33, d2 = 51 Dl.O(d1) = 255571876 Dl.O(d2) = 11068327,11068328,15949400,15936147,15936149,15955589,22059899,29329584,22060791,15956448,15956450,22060794,29391297,29396489,29396487,29376129,22045417,22045419,22064880,15960201,15610444,15610443,21642393,25540542,18928068,13493726,13493727,18928075,25540545,25541460,25541459,33303403,255312992,256395785,29622689,256937889,59489802,71994440,64565674,52664938,256117170,25534715,18923422,15881845,15881844,18923424,25534717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8091166, s2 = 13477814, dlinesl.size( ) = 32 s1 = 10352360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352360, s2 = 8685761, int(edited[s2]) = 0 s1 = 10352360, s2 = 8685761, d1 = 28, d2 = 65 Dl.O(d1) = 258830971 Dl.O(d2) = 166726346,177281684,262595646,187809719,195760205,263449610 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3214689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10333844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8361147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3483278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3483581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3726385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3483874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3483874, s2 = 11336124, int(edited[s2]) = 0 s1 = 3483874, s2 = 11336124, d1 = 55, d2 = 30 Dl.O(d1) = 115148369,101072616,101072617,100777839,258215134 Dl.O(d2) = 133774501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3483874, s2 = 11336124, dlinesl.size( ) = 20 s1 = 3484050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9439504, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8168452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8168452, s2 = 8949447, int(edited[s2]) = 0 s1 = 8168452, s2 = 8949447, d1 = 17, d2 = 11 Dl.O(d1) = 137374154,123642494,109449901,95195042,81137821,255330722,35109069,31051235,23567156,23567157,20130869,20130870,20132536,14439309,14439310,20131533,27023373,30368772,35109484,27023353,27023352,35109480,38954908,48874548,44490365,35113534,27027046,27027047,35110033,44487109,55333108,67672509,256221754,257312612,60255726,48862930,38943287,30357134,22955567,16719229,11677502,11677501,16719226,22955561,30357126,254316562,47782053,37858209,254690698,15869237,254472056,29289374,37858207,47782051,254690694,254690722,27024834,20134544,14440826,14440827,9933807,6528788,254215064,14440879,20134621,27027126,35113602,35113594,29289365,29289364,29289369,21962825,15869232,14440814,14440815,255746687,255746532,35111878,35111880,44488891,44488877,35111860,35111861,44488881,55334755,270137623,67674080,255330798,35111862,35111863,44488884,44487047,44487046,44488657,35111546,267871714,254977080,254472032,43854097,35111599,28990670,26595598,26595596,34582759,43854121,54598173,43854114,39778060,39778059,31099728,31099729,26595690,19790092,19790093,21738791,21738790,29029583,37576772,47482594,37576776,37576775,256221738,39778068,47440746,54598187,43854192,43854191,43854201,34582862,29029540,29029539,34582567,31699456,31699457,40392278,44487045,35109937,34582745,26595578,26595577,26595655,19790063,19790064,26595645,21704299,21704297,28987851,27025075,26595496,26595495,26595499,31099734,31099735,26595602,26595604,26595682,19790085,14175405,14175406,19790089,26595687,34582858,43854112,43854088,43854089,47482581,37576756,37576757,38464648,29907328,29907329,34582640,29029576,21738786,21738787,29029579,35111201,27024861,27024860,35111200,29907220,29907221,29361873,22031104,15929599,15929597,22031102,19790071,14175398,14175399,19790075,26595667,29029593,37576782,255330710,22550905,22550906,29907048,38464393,48365955,59748815,51666878,257912484,47848229,38572904,38464469,29907123,29907124,24460614,24460613,31377658,23880984,23880983,31377655,256413370,32564412,41424584,41424580,40060367,31377681,31377679,30002173,30002174,38572792,48486005,41424560,40092816,40092818,44606585,35225697,31413101,23923534,17582491,12410282,12410283,17582495,23923546,255331772,19297617,25963467,33773138,32564380,32564382,32564428,24912425,18406946,13074380,8909309,5813957,3626721,3626720,5813954,8909303,13074369,18406923,13074424,8909329,5813964,5813962,8909325,13074418,18407015,19297621,19297620 Dl.O(d2) = 240392286,266942639,241336634,240882536,240392280,274886932,241757494,241757495,267034024,241336636,240882538,240392281,239863843,266777820,238669564,239291571,239863844,240392282,240382282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8168452, s2 = 8949447, dlinesl.size( ) = 2 s1 = 8168452, s2 = 8949447, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8168452, Dl.E( ) = 26, 1.5e-05 seconds used appending s1 = 6919206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9406512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1787087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14976570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349051, s2 = 16326584, int(edited[s2]) = 0 s1 = 10349051, s2 = 16326584, d1 = 19, d2 = 5 Dl.O(d1) = 71529088,73991820,61213002,257044633,31038445,256240540,256240542,36923250,35430458,27298705,20360276,20360277,27298707,31635921,31635920,40325312,49734624,39715946,39715945,49734622,61213016,61213017,60773204,258219243,87140362,101138445,115215481,129146073,142522147,155165501,166857490,177404333,262713160,261719522,127670550,113802508,99788665,85835891,72243900,59509331,48121879,38211619,29645033,22293113,19119324,13650716,9347495,6122542,6122543,254528521,4703320,7443722,7443724,9738750,11218543,11218542,11218509,7443749,4703306,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,12306648,8312412,5363607,3297283,3297282,3297274,3297275,5363595,8312392,11218970,16148489,15658268,10839390,7165641,7165642,10839392,15658272,21697979,22295556,16150433,16150429,17873143,12656887,8593105,8593106,12656893,16152171,16152173,17873119,22293060,16148425,11218932,7443991,4703435,4703432,7183482,7183480,10864857,11221681,11221682,16152227,16151992,16151993,22297197,21354459,15377695,15377696,11218704,11218703,16148079,22292656,18498570,13780746,13780749,19278131,23200430,16931158,16931159,12492919,12492918,17666810,24014564,31515426,29089892,29089891,32717571,27095111,20195926,268049423,6552639,4104996,2455402,1419368,1419367,2455399,4104991,6552627,9970329,14490781,20195916,27095101,256753009,269194799,67750110,259167653,109529790,123722030,137450414,150485895,162610125,263034463,170019493,158661474,146293560,146293559,260845059,105044352,90865570,76987259,63876099,52057007,257174857,268484139,18566181,13193516,8994217,8994216,254437705,2194670,267759837,729148,1274857,1394644,793090,793092,1394655,2410419,4022999,6412961,5872270,3666639,2194695,1274866,729154,729155,1274874,2194714,3666672,5872316,8994442,13193902,18566759,17650083,12478761,8449415,8449416,12478768,17650092,18566488,25117304,32821393,25117286,18566464,14187662,9753093,9753094,14187667,19807043,19807042,21517822,18566328,18566329,23585416,17273032,12152335,8182825,5252625,5252624,6413061,6412869,4022949,4022950,4023018,4023017,5872236,8994324,13193709,8994363,5872261,5872220,3666613,2194683,2194684,2194708,3666662,5872306,8994426,13193872,18566705,25117519,23994160,17650061,12478746,12478748,17650065,18566482,18566483,25117300,32821290,26669354,19853045,19807053,19807055,25531223,18920592,13488485,13488483,18566493,18566492,18920479,18920480,23585397,17273012,17273011,23585387,31069587,34603898,26616367,19807515,14188005,14188006,18566688,18566689,25117263,25117325,25117326,25117131,18566318,13193622,8994285,5872221,5872222,5872210,5872211,8994263,13193580,18566256,25117069,32821228,25117150,25117149,268298386,14223262,14223263,19853026,25531147,255265399,254924825,3781822,2265470,2265469,3781818,6044102,9228427,13488402,18920502,23585389,25117102,18566277,18566278,18566686,18566684,18921696,18921691,13489291,13489290,18920579,13488473,13488474,18920583,18920735,18920736,18566658,13193839,13193838,13488429,13488439,13488438,18920541,25117160,18566343,13193633,13193631,14223257,9777931,6428945,6428947,9777935,14223268,19853031,25531232,18920611,13488495,9228486,6044139,3781846,2265480,1314205,1314203,2265476,3781838,3781930,6044292,9228716,13193607,8994276,8994275,13193600,18566289,18566678,13489304,9229012,6044463,6044462,9229008,13488603,9228563,9228564,9228548,9228547,13488583,9228554,9228446,6044118,6044119,9228453,13488444,15526100,21542719,15631818,14223283,9777947,6428953,4033320,4033321,6428959,9777961,11789158,11789160,13488532,9228950,6044433,3781994,2265567,2265485,1314208,1314209,1314237,1314238,2265546,3781935,6044302,9228733,13193591,13193590,18566269,25117087,25531192,18920551,14221073,14221072,13489293,13488609,9228571,6044196,3781881,2265509,2265510,3781884,6044203,7094535,4466810,2683570,2683568,4466806,7094525,10737927,15526106,18920789,13488641,9777944,9777943,9777953,9777952,13489354,9229049,6044486,3782030,2265586,1314255,750143,426362,240798,240796,426359,750135,1314231,2265535,3781918,6044264,9228670,13488741,18920920,25531581,33293094,25532124,18921430,13489131,11803641,7883860,5006932,5006929,7883857,11803636,16872872,13488626,9228578,9228579,13488629,13488656,9228600,6044210,6044209,9228598,13488647,18920797,25531418,25531417,33292974,25531474,25531475,25532439,18921720,13489334,9229034,6044477,6044254,3781910,2265531,1314228,750126,750125,1314224,2265525,3781902,6044240,6044388,6044390,9228623,9229027,9229026,13489328,13489126,9228905,6044407,3781982,3781940,3781941,6044309,6044320,6044316,3781966,3781967,6044367,9228843,13489015,15526072,13488651,13488653,18920802,25531435,18921267,13489144,9228922,9228923,13489149,18921446,25532141,25531529,25531530,18921001,18921003,14223551,9778142,9228685,6044272,6044270,6044220,3781891,3781892,6044225,6044235,6044234,9228640,9228883,9228628,9228629,13488699,18920859,18921717,18921401,13489107,9228896,6044402,6044401,9228744,9228742,13488863,18921063,18921039,18921037,18920701,13488556,9228518,9228517,13488551,18920691,25531331,33292914,41744391,32823399,25119230,18568038,18568037,21868207 Dl.O(d2) = 60845283,73594737,87216771,101217659,115295942,119944668,133811759,119944664,105709764,105709763,119944662,133811758,134758892,120962200,258426114,78366877,256662416,268759549,25820640,19170400,13689674,9375341,6141714,6141716,9375342,254451926,3984616,6350638,9369705,6259642,3918712,3918713,6259643,9541289,13903227,19431180,26125706,32812376,256368660,41732800,52047531,63866888,64620516,52720337,42333205,42333208,43262680,255564518,42333222,33351684,25591149,18981837,18981838,25109686,32812369,41732850,52047586,63866936,76978086,77802935,77802936,91730462,257650858,74290186,259506299,115914129,129814038,143144852,262340785,177824290,187096911,195171440,202076226,207881089,212664738,216574905,219816719,222552906,224902597,226942983,265856535,226435165,224327156,265580560,206711603,200712655,193602161,263127761,165064834,153247377,261141483,99360181,85417214,259345193,104652237,90489368,259046848,42930527,42930528,53397074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349051, s2 = 16326584, dlinesl.size( ) = 2 s1 = 10349051, s2 = 16326584, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10349051, Dl.E( ) = 20, 2.19e-05 seconds used appending s1 = 9707319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8460841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8460841, s2 = 14059894, int(edited[s2]) = 0 s1 = 8460841, s2 = 14059894, d1 = 24, d2 = 29 Dl.O(d1) = 30082020,25403730,18814069,18814070,21334087,21334088,28560326,33145128,256225470,29462948,22128236,22127912,16013146,11117645,11117644,16013143,16828935,16828937,23081339,27053140,35135671,35135672,27060230,27060231,35145761,30497607,23084262,23084261,21371812,21371813,256859609,257656724,2617963,2617962,4369652,6954465,5193826,3169172,3169167,5193798,3791700,2273120,2273118,2274619,1319041,1319040,2274616,3797571,6069577,9266580,13537044,18972179,18960823,18960822,25570453,33330375,42310722,258416485,91709001,105916324,120128428,115220372 Dl.O(d2) = 164095009,174920714,184532570,174920709,164095005,164095006,159552537,147193352,133970476,133970475,139475939,261630053,262635127,164095012,261630055,260499189,98268408,84360097,70801658,70801657,259759980,47865922,258110697,77303744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8460841, s2 = 14059894, dlinesl.size( ) = 2 s1 = 8460841, s2 = 14059894, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8460841, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 7010174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13706179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352386, s2 = 10347868, int(edited[s2]) = 0 s1 = 10352386, s2 = 10347868, d1 = 26, d2 = 34 Dl.O(d1) = 152351,152261,152256,152777,152772,276973,494000,254159493,2663573,4435928,7047987,10671171,15435815,21428692,24499477,21409310,15420927,15420924,16086260,15108874,10421203,10421201,12336848,12336849,13052295,18378061,21443019,15447235,15447234,21443013,18378070,13052299,13052301,12295241,8304276,5358103,3293689,3293691,5358113,8304306,12295297,17442216,18979108,13542805,9271122,9271124,255214688,25588038,33348330,28102692,20926684,15018711,10346500,6812051,4272664,4272666,254711361,15018714,17198407,20353868,25826941,29593918,22245292,16108327,11188942,11188943,10790315,10790314,13660188,19032912,19032911,14020378,14020376,10276115,6753273,6753271,10020927,9920655,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601189,12665644,17881786,13852555,13852556,16295757,12090582,8130747,8130748,12090587,11509193,11509194,16514752,22719757,30101664,30101619,24677485,18212477,12917664,12917665,18212481,20823244,19470479,19470480,22725944,20325593,19029177,14563608,10021441,10021440,14563606,20118708,14428020,9924717,6522841,6522842,6586506,10021410,14563568,20294727,22244963,22244962,27996192,22791723,16575627,16420957,255000338,258152921,57652514,57652513,57652517,70343100,83868297,97727217,99777538,258531494,38194387,29627435,22275738,22275737,20116099,20116100,27007348,27005658,20114786,14425326,9923010,6521830,4086393,4086394,4497150,4497149,7142429,8837046,268470245,40505804,46856015 Dl.O(d2) = 257766785,32951573,32951574,41886776,52217988,257167544,63950036,63950035,77064393,79300096,65937002,53869780,256706677,34245165,43344943,257266848,77064438,65937015,53869797,53869796,52128999,52129000,53015331,53015332,64265026,52409640,42065820,42065819,52409636,58457701,47079645,37184512,28663667,21418026,15427703,10665335,7043723,4432831,2661261,2661259,4432825,7043711,10665310,15427659,21417965,28663577,37184393,257444407,51761127,41490585,41490586,256865141,28663622,28663619,37184448,31445156,23953389,23953387,31445152,40124610,37184474,37184473,40124759,50145978,61627985,74406430,61627778,51972678,41664761,32753445,25061272,18522504,13160709,8970671,5856204,5856205,8400014,12428414,15427684,21417992,15427697,15427698,21417983,15427675,10665320,10665318,15427669,21417977,28663572,28663573,37184384,37184407,37184406,47079529,58457586,49068266,49068267,60471715,49068274,39137924,37184445,37184446,31445168,23953399,17607225,17607224,23953395,21417959,21417960,28663566,31445271,40124765,50145985,61627993,58457515,47079473,37184357,28663549,21417951,21417950,25061270,32753440,41664758,50145821,40124636,31445171,23953402,23953403,31445176,28663649,28663603,21417980,21417979,28663597,37184417,47079542,47079557,47079495,47079497,58457552,71179755,60471719,49068270,39137922,255962809,16860182,16860183,23119940,30538833,39137927,31445166,31445161,31445160,40124624,50145814,61627790,258890617,88011856,101987218,100812517,88011651,74406448,61627801,50145824,40124640,31445178,23953406,23953407,31445180,40124642,257659371,47079540,47079539,58457595,63539841,51761115,49068282,39137936,30538837,23119943,16860187,11792456,254557721,4999455,7874661,254733422,23119947,30538839,39137941,49068293,60471743,73218418,84748559,98676238,101987058,116033676,116033633,101987026,88011640,74406437,61627787,50145811,50145809,61627783,74406434,84748643,98676316,100812528,86831207,73218399,60471726,49068278,39137930,30538834,30538835,39137933,31445190,23953414,23953415,31445194,40124653,50145846,49068290,256865124,73218416,86831226,88011669,74406468,74406469,88011672,271395851,101987024,88011637,88011636,101987022,116033627,112670891,98676262,98676261,112670889,114864163,114864162,114864185,100812543,86831218,73218405,60471730,49068280,49068279,60471728,73218404,86831214,100812539,114864177,128761625,142117266,128761630,114864187,100812546,100812547,100812553,86831224,73218413,60471740,49068288,39137939,256324522,60471738,73218410,258679410,114864193,112670893,98676264,84748599,71179735,71179734,84748595,261105023,122005968,107631103,107631104,114864175,100812537,258820233,258820231,100812535,260660585,142117264,154752034,261298530,119151433,119151432,114864191,100812549,86831220,73218408,60471734,49068285,49068286,58457564,47079511,47079512,58457566,71179770,84748631,76619351,63539852,51761132,41490589,32610971,32610970,41490588,51761130,270292076,104640932,118821011,114864169,114864170,128761622,130127149,143458234,155997505,167607326,158227848,145858484,132639246,118821016,104640937,90477512,76619353,63539854,51761135,41490592,41490593,51761138,63539856,71179767,71179766,84748628,90477505,76619345,63539848,63539849,76619347,88163647,102154622,102154629,102154630,116216125,261235693,114864154,114864155,261656236,116216155,102154655,88163686,74548802,61765156,50285494,40264434,40264436,50285496,61765162,74548809,74548810,88163698,258279558,126533638,112670936,98676297,84748627,84748626,98676294,112670935,126533636,130127146,126533663,112670963,98676322,84748652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352386, s2 = 10347868, dlinesl.size( ) = 32 s1 = 8461022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9716048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3489557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 835765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9710960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9710960, s2 = 15055307, int(edited[s2]) = 0 s1 = 9710960, s2 = 15055307, d1 = 7, d2 = 7 Dl.O(d1) = 135942871,122014783,107639773,271108675,79119742,79119741,93236340,107639771,122014781,115150073,101074098,270358489,58568682,270789406,47496547,262678639,185076321,263057706,178801708,168495103,157047177,144648896,131426093,117625174,103494884,89400666,75639589,257714877,269833392,18125502,18125501,24565302,32148472,40925870,51066419,62695484,75639600,75639595,62695481,62695480,55368815,44522781,35146409,27060896,20167130,20167129,27060894,21684186,15644921,10827600,8808242,5737876,3573797,3573795,5739285,6031256,6029457,3772060,2260121,2260125,3624448,5744584,5744582,8812926,11501806,7650723,7650721,11501782,9466026,8467821,8467819,9218692,6036431,6036434,9218702,8758832,6351423,6351424,9658806,13471169,13471168,18902692,19604132,19604131,26332381,34206263,43304691,53829670,65897032,79259313,258470662,122214721,136179002,149430103,161721769,172879893,182778740,182558158,172631145,261634040,166491607,177073138,172631137,161454292,149167298,135942877,122014790,107639782,93236347,79119746,258640742,257258983,65763738,79119743,93236342,107639774,122014785,135942872,149167292,152484855,139764188,126388700,112518031,98523093,95200501,84598038,71033672,58317993,46951040,37071255,37071256,31724080,24217078,17846661,12638130,8580715,6374766,3999924,2397136,2397135,3999922,254677905,14091116,255737604,21198109,21198111,255481466,33288590,28029467,20862172,14960430,14960433,18666567,14989953,12581704,8534760,6831119,6831118,9087756,5944865,3717476,2667224,2667222,4440727,5924568,5924567,9061056,10304479,9103364,5956585,5956584,9103362,13323413,14975614,11218179,7443534,4703182,2833356,2833357,3179419,1861097,1062035,597090,332808,332810,597057,1061897,1061894,1860792,267840261,8132702,12093273,17197838,255990199,39528308,49461780,60864842,73615030,87236518,101236873,115315292,129243512,142613505,155249129,155249137,142613512,142613513,155249138,166932748,166932746,166932747,161454297,149167304,149167305,149167302,149167303,135942884,122014794,107639787,93236350,79119748,65763739,269061636,43195097,43195098,43195088,43195089,42659408,33630399,25828278,25828279,25428957,18835217,13419824,13419825,11777935,7863819,7863821,5697769,5697770,8751388,12868427,18147352,254978392,40959033,268730542,19807306,14187863,9753230,6412825,4022924,4022923,6412823,9753229,14187862,19807305,268538039,255601350,28991370,28991371,37536453,44516461,44516460,44516463,35139804,27054170,27054171,31554656,33772635,42804856,38360926,29788873,29788872,29788871,25508098,22423459,16257560,11303048,11302770,11302769,16257110,22422852,16257523,16257524,11303732,11303731,16258471,19234027,13741554,9416966,9416965,13744516,19237855,254310546,14045687,14045688,13904063,267812752,3920258,3920257,6261803,6377565,6377566,9696874,9548347,6264737,6259266,3918471,2345587,1358704,774511,774509 Dl.O(d2) = 135942871,122014783,107639773,271108675,79119742,79119741,93236340,107639771,122014781,115150073,101074098,270358489,58568682,270789406,47496547,262678639,185076321,263057706,178801708,168495103,157047177,144648896,131426093,117625174,103494884,89400666,75639589,257714877,269833392,18125502,18125501,24565302,32148472,40925870,51066419,62695484,75639600,75639595,62695481,62695480,55368815,44522781,35146409,27060896,20167130,20167129,27060894,21684186,15644921,10827600,8808242,5737876,3573797,3573795,5739285,6031256,6029457,3772060,2260121,2260125,3624448,5744584,5744582,8812926,11501806,7650723,7650721,11501782,9466026,8467821,8467819,9218692,6036431,6036434,9218702,8758832,6351423,6351424,9658806,13471169,13471168,18902692,19604132,19604131,26332381,34206263,43304691,53829670,65897032,79259313,258470662,122214721,136179002,149430103,161721769,172879893,182778740,182558158,172631145,261634040,166491607,177073138,172631137,161454292,149167298,135942877,122014790,107639782,93236347,79119746,258640742,257258983,65763738,79119743,93236342,107639774,122014785,135942872,149167292,152484855,139764188,126388700,112518031,98523093,95200501,84598038,71033672,58317993,46951040,37071255,37071256,31724080,24217078,17846661,12638130,8580715,6374766,3999924,2397136,2397135,3999922,254677905,14091116,255737604,21198109,21198111,255481466,33288590,28029467,20862172,14960430,14960433,18666567,14989953,12581704,8534760,6831119,6831118,9087756,5944865,3717476,2667224,2667222,4440727,5924568,5924567,9061056,10304479,9103364,5956585,5956584,9103362,13323413,14975614,11218179,7443534,4703182,2833356,2833357,3179419,1861097,1062035,597090,332808,332810,597057,1061897,1061894,1860792,267840261,8132702,12093273,17197838,255990199,39528308,49461780,60864842,73615030,87236518,101236873,115315292,129243512,142613505,155249129,155249137,142613512,142613513,155249138,166932748,166932746,166932747,161454297,149167304,149167305,149167302,149167303,135942884,122014794,107639787,93236350,79119748,65763739,269061636,43195097,43195098,43195088,43195089,42659408,33630399,25828278,25828279,25428957,18835217,13419824,13419825,11777935,7863819,7863821,5697769,5697770,8751388,12868427,18147352,254978392,40959033,268730542,19807306,14187863,9753230,6412825,4022924,4022923,6412823,9753229,14187862,19807305,268538039,255601350,28991370,28991371,37536453,44516461,44516460,44516463,35139804,27054170,27054171,31554656,33772635,42804856,38360926,29788873,29788872,29788871,25508098,22423459,16257560,11303048,11302770,11302769,16257110,22422852,16257523,16257524,11303732,11303731,16258471,19234027,13741554,9416966,9416965,13744516,19237855,254310546,14045687,14045688,13904063,267812752,3920258,3920257,6261803,6377565,6377566,9696874,9548347,6264737,6259266,3918471,2345587,1358704,774511,774509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9710960, s2 = 15055307, dlinesl.size( ) = 2 s1 = 9710960, s2 = 15055307, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9710960, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 8309891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6820711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8506437, s2 = 6932853, int(edited[s2]) = 0 s1 = 8506437, s2 = 6932853, d1 = 33, d2 = 29 Dl.O(d1) = 263610270,271849583 Dl.O(d2) = 23896071,255821170,254852631,17550315,23896072,22375662,17573672,12401796,12401795,17573671,15280312,10546388,6955391,4370187,2618209,1511636,1511637,2618212,2721045,4526606,6968169,4377680,2622028,1513419,1513418,2622026,3789722,5194523,8107707,6936084,5402788,4373504,2619925,2619931,2231100,2231105,3726389,5958631,8109663,8107887,5194619,3169561,1855672,1059127,1059040,595544,595543,1059034,595601,332072,182859,100283,55307,55308,100288,182878,332115,595690,595549,595550,1059054,1855517,3169256,5193991,8106802,5404615,5404616,8374404,12392112,9243273,6053812,254300917,1316447,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269421,2269417,2622126,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794890,5412220,8387172,9256185,9256186,254174292,25287739,267899860,13321502,16897689,22724559,259412929,105440346,91217733,77297308,260268940,85185105,85185106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8506437, s2 = 6932853, dlinesl.size( ) = 34 s1 = 3224048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3224048, s2 = 7925592, int(edited[s2]) = 0 s1 = 3224048, s2 = 7925592, d1 = 41, d2 = 102 Dl.O(d1) = 101532057 Dl.O(d2) = 84723415,71153870,58432574,256863679,28649345,21407010,15419077,10658837,7038847,254733001,7038848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3224048, s2 = 7925592, dlinesl.size( ) = 2 s1 = 3224048, s2 = 7925592, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3224048, Dl.E( ) = 134, 5.7e-05 seconds used appending s1 = 3224175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8034229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8034229, s2 = 9327326, int(edited[s2]) = 0 s1 = 8034229, s2 = 9327326, d1 = 93, d2 = 91 Dl.O(d1) = 21439642,255036019,10677784,15444383,21439650,257447085,269871016,257062644,256525139,17540943,12372131,12372133,17540428,17540429,15567641,15567643,20142910,14448634,14448633,20142908,27035832,31332792,40011050,258259289,258619702,21623521,255045039,7127130,4487079,4487078,7127128,10786972,268618673,255425500,12971088,12423197,8396351,5418181,5418182,8396355,7236537,4561983,4561984,4676743,2817487,2817488,4676745,7402746,11160185,7402823,4676798,2817522,1634556,929516,523937,293610,293609,523932,929510,1634544,267789836,267886328,16071593,22200563,29543765,38106987,48017190,39776825,37409480,37409479,39705896,31028811,31028810,38616408,36983043,36983041,46861559,55246136,257043700 Dl.O(d2) = 274467184,274261003,210992832,205895349,264226858,262616401,261607853,271808134,269296557 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8135242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7168284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7168284, s2 = 7866643, int(edited[s2]) = 0 s1 = 7168284, s2 = 7866643, d1 = 18, d2 = 22 Dl.O(d1) = 263504368 Dl.O(d2) = 255409042,8176382,7679166,4859040,4859036,7679180,11542569,16559680,268648319,255649854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7168284, s2 = 7866643, dlinesl.size( ) = 26 s1 = 9677894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9677894, s2 = 14592194, int(edited[s2]) = 0 s1 = 9677894, s2 = 14592194, d1 = 0, d2 = 0 Dl.O(d1) = 236884718,236030540,235090960,234057984,232924282,231672723,230280127,228713313,226932740,224889725,222537039,222537038,224889723,265754187,230280124,266144329,234057983,234057981,232924280,231672722,230280122,228713312,226932739,224889721,265243987,216552732,212639687,207852338,207852337,207852340,202044257,195136903,187060313,262810259,262338577,143110004,129780070,115881692,101836631,87863793,258257215,50005545,39987552,31310876,23822116,17485768,17485769,23822117,31310455,31310456,39987202,31871693,24347638,17955738,12724019,254620021,5623264,8645869,8645875,12328791,17485635,23821919,255842525,15515223,10730475,7089859,4464073,4464074,7089862,10730477,15515224,21527980,28792757,37329889,47239663,58632962,71369586,84945710,87781194,101754699,115801387,119531484,105304403,91090543,77179856,64043202,52204929,41876282,254890210,28981796,24244975,24244976,27204676,27204675,35329941,37040802,35364906,27241591,20310845,254623402,6591727,6591723,6591765,10029961,14576041,20310919,268270302,36487804,32861442,25154725,25154726,25222940,25154689,18597622,18597623,16791951,16791950,16545519,11531736,7671580,7671579,11531734,16545518,22757329,30144228,33745236,32894556,32861412,32861413,41781836,52095007,52812254,52812255,270004931,90904525,105084472,119277445,133107155,146334085,158702109,170058989,177559867,177559868,167053494,155413528,142832384,129515502,115630551,101590260,87623221,74019157 Dl.O(d2) = 236884718,236030540,235090960,234057984,232924282,231672723,230280127,228713313,226932740,224889725,222537039,222537038,224889723,265754187,230280124,266144329,234057983,234057981,232924280,231672722,230280122,228713312,226932739,224889721,265243987,216552732,212639687,207852338,207852337,207852340,202044257,195136903,187060313,262810259,262338577,143110004,129780070,115881692,101836631,87863793,258257215,50005545,39987552,31310876,23822116,17485768,17485769,23822117,31310455,31310456,39987202,31871693,24347638,17955738,12724019,254620021,5623264,8645869,8645875,12328791,17485635,23821919,255842525,15515223,10730475,7089859,4464073,4464074,7089862,10730477,15515224,21527980,28792757,37329889,47239663,58632962,71369586,84945710,87781194,101754699,115801387,119531484,105304403,91090543,77179856,64043202,52204929,41876282,254890210,28981796,24244975,24244976,27204676,27204675,35329941,37040802,35364906,27241591,20310845,254623402,6591727,6591723,6591765,10029961,14576041,20310919,268270302,36487804,32861442,25154725,25154726,25222940,25154689,18597622,18597623,16791951,16791950,16545519,11531736,7671580,7671579,11531734,16545518,22757329,30144228,33745236,32894556,32861412,32861413,41781836,52095007,52812254,52812255,270004931,90904525,105084472,119277445,133107155,146334085,158702109,170058989,177559867,177559868,167053494,155413528,142832384,129515502,115630551,101590260,87623221,74019157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9677894, s2 = 14592194, dlinesl.size( ) = 2 s1 = 9677894, s2 = 14592194, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9677894, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 3492231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3492231, s2 = 14113982, int(edited[s2]) = 0 s1 = 3492231, s2 = 14113982, d1 = 7, d2 = 7 Dl.O(d1) = 115634702,101594253,270376193,74023040,61242645,61242646,60126322,48731733,38811513,38811514,48731734,49763793,39745298,31067164,31067163,38810732,30228023,22836267,16614911,16614908,22836264,256441283,38275844,29709120,29709121,38275847,48185307,59571326,72305302,70567053,57865311,46509214,36641975,28166977,28166979,36641977,39912607,31237172,23753960,23753959,31237169,39177858,37450618,28911026,21636436,15604580,15604581,17757141,17757138,22187593,22187592,29530078,38093873,258743383,99657343,113670272,127541438,140896463,153570538 Dl.O(d2) = 115634702,101594253,270376193,74023040,61242645,61242646,60126322,48731733,38811513,38811514,48731734,49763793,39745298,31067164,31067163,38810732,30228023,22836267,16614911,16614908,22836264,256441283,38275844,29709120,29709121,38275847,48185307,59571326,72305302,70567053,57865311,46509214,36641975,28166977,28166979,36641977,39912607,31237172,23753960,23753959,31237169,39177858,37450618,28911026,21636436,15604580,15604581,17757141,17757138,22187593,22187592,29530078,38093873,258743383,99657343,113670272,127541438,140896463,153570538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3492231, s2 = 14113982, dlinesl.size( ) = 2 s1 = 3492231, s2 = 14113982, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3492231, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8620545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8620545, s2 = 2277394, int(edited[s2]) = 0 s1 = 8620545, s2 = 2277394, d1 = 0, d2 = 0 Dl.O(d1) = 140708755,153390525,165194032,175902354,167061286,262324049,142839924,129522830,115637630,101597158,101597157,87629986,74026010,61245737,49766895,39748368,39748367 Dl.O(d2) = 140708755,153390525,165194032,175902354,167061286,262324049,142839924,129522830,115637630,101597158,101597157,87629986,74026010,61245737,49766895,39748368,39748367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8620545, s2 = 2277394, dlinesl.size( ) = 2 s1 = 8620545, s2 = 2277394, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8620545, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8470036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8470036, s2 = 11383634, int(edited[s2]) = 0 s1 = 8470036, s2 = 11383634, d1 = 135, d2 = 66 Dl.O(d1) = 257629979,31075775,23592424,23592423,31075773,268987611,31075768,31075769,39753377,49771881,258239115,260101177,101600796 Dl.O(d2) = 216625594,216625593,264568677,202147997,195253127,263979335,272879111,16807469,15517538,15517535,254899904,11332465,7530262,4763355,4763357,7227334,10925847,15773676,11576322,11576321,259421147,260638165,128296078,270459295,12906678,18196583,24654528,256641053,33160958,255705992,15168941,17600824,12423359,254115064,5418230,8396445,12423362,17600827,254458972,19287337,13788370,13788369,19287335,268505977,28324478,21114878,15168928,10461632,10461631,15168925,21114872,256297809,26245246,26245247,34109219,43195444,34109226,26245251,19527913,13980854,9602812,6306330,3952054,2366636,2366638,3952056,3952074,6306354,254460601,2365032,2365033,3949570,3949397,3949394 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7008037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7008037, s2 = 11659011, int(edited[s2]) = 0 s1 = 7008037, s2 = 11659011, d1 = 19, d2 = 16 Dl.O(d1) = 261270415,261894122 Dl.O(d2) = 101603665,87636944,74033378,269614039,43897372,34625299,34625298,43897371,44494453,39530698,39530697,49464322,39530704,33278371,33278372,42258014,52643518,54640518,43897369,34625297,34625296,43897357,43897358,54640505,55340617,44494493,35117423,27030776,27030775,35117420,44494491,55340622,44551639,44551637,44551640,35173913,35173914 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7083928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7083928, s2 = 16334460, int(edited[s2]) = 0 s1 = 7083928, s2 = 16334460, d1 = 137, d2 = 266 Dl.O(d1) = 262325025,142850539,260699151 Dl.O(d2) = 3953652,4957633,2993106,2993103,3743798,4957612,4957610,7814893,6307425,6307426,9604047,13982152,19529211,26246548,34110511,43196760,53708413,65765270,259100175 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9179559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9179559, s2 = 3196108, int(edited[s2]) = 0 s1 = 9179559, s2 = 3196108, d1 = 0, d2 = 0 Dl.O(d1) = 152295,275532,490292,869281,1532086,2649857,4417697,4397926,4397925,2645363,2645365,4024591,4024590,6414979,9756296,14192401,11001255,8994696,5872473,254630648,2763029,1601743,910756,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496166,5626750,5626832,8650897,254620720,24359815,268266784,42573431,33556467,33556465,30495857,30495856,39092067,49021395,57848955,63545589,72363010,67700178,55360298,55360297,67700177,81165870,85957820,72362978,59628497,48241295,48241296,59628500,50027137,50027136,61505206,74281839,72131454,59400933,48013509,38103017,256388523,22196356,16067693,16067694,22196357,29539594,38103024,48013521,52506492,52506491,64380128,74281755,74281756,87884066,74281747,61505096,258180818,52506502,61505128,74281722,61505079,61505078,74281721,61505212,55228078,44377400,257303775,67571165,81040025,95098463,258258998,112699617,101113140,101113141,258848532,101984238,90852388,76973781,76973782,259298952,84629170,98553058,112547006,261097989,260378112,98328142,84418874,84418873,98328140,112311109,126171744,112707360,98711651,98711652,98711647,84783510,84783511,78545205,78545204,87132312,73513595,60764475,258218779,87132310,101130465,106911588,106911589,101130468,87132314,87132313,101130466,115208338,121178399,106911571,92592813,92592812,92592841,78545231,78545230,78545247,71214423,58492580,47114318,47114317,257314716,84783499,84783500,94385012,106911602,92592849,271082425,98711637,84783502,84783501,98711635,112707348,260082026,98328268,84419000,84419001,98328271,112311235,103576994,89480409,75716278,62768174,51133720,51133721,62768175,75716279,89480410,103576999,258505474,118520527,259134374,90184261,259933741,98808173,90184257,76356041,257742617,41376126,32526798,24883155,24883153,32526795,41376120,51601170,63324737,257742605,51601132,269954753,88441714,74809208,74809205,258876612,115667006,101626239,101626240,258033850,271296655,268914032,126161819,139537646,152269380,152269148,139537455,139537454,126203136,112342671,98360141,84450467,70893599,70893598,84450465,98360139,112342669,271297664,151482242,151482241,259904618,126161666,126161665,259285284,258033848,111649555,111649556,269775226,112300959,98317815,258298498,126161655,126161662,139537452,152269146,164154677,174972569,260506576,164190935,261085536,152269149,139537457,139537458,139537447,270406610,98317817,84407877,84407871,84407872,258298496,126161651,129553418,272254467,258921410,98317824,84407882,84407881,98317823,112300968,258921406,98317821,84407880,70850267,58135947,58135946,70850265,84407874,98317812,112300957,126161653,126811908,112957907,102487669,270406613,269888953,61269980,74049708,258298500,70850269,58135948,256557590,84407886,98317829,100454576,100454573,114479841,100454572,100454571,114479839,258719514,140161966,126811906,126161667,112300971,98968670,258697587,71471987,85043709,259546474,112957904,101802927,101802926,89207569,75455456,62533012,62533011,75455453,89207564,103302704,117438186,126161668,112300988,98317845,269009614,70850275,84407895,98317842,112300987,259324097,85043710,270901283,74224002,61444320,258254093,87828984,74224003,74224004,87828988,101802930,258254090,257062490,87751712,101724404,115769556,129666366,115849086,101802912,101802911,260053598,126161672,112300978,112300977,112300981,126161675,139537467,129748243,259546476,259546478,152269154,155684357,143130456,129798084,129798083,126938336,259896238,99384572,99384574,101851467,87878143,74275735,74275734,87878141,101851464,268911424,256836284,258025570,129798087,259277112,115897759,101851463,101851462,113384050,99384576,85444386,71859844,258722607,270282584,87878146,74275739,61498765,255380442,31324528,31324527,255380440,61498762,74275733,257415568,258650356,70788489,58071191,46699072,46699074,58071193,70788492,259277115,87652792,74049670,74049671,259487607,259965963,71859845,71859846,85444389,259965965,127240727,113384053,259347759,71859852,71859851 Dl.O(d2) = 152295,275532,490292,869281,1532086,2649857,4417697,4397926,4397925,2645363,2645365,4024591,4024590,6414979,9756296,14192401,11001255,8994696,5872473,254630648,2763029,1601743,910756,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,3496166,5626750,5626832,8650897,254620720,24359815,268266784,42573431,33556467,33556465,30495857,30495856,39092067,49021395,57848955,63545589,72363010,67700178,55360298,55360297,67700177,81165870,85957820,72362978,59628497,48241295,48241296,59628500,50027137,50027136,61505206,74281839,72131454,59400933,48013509,38103017,256388523,22196356,16067693,16067694,22196357,29539594,38103024,48013521,52506492,52506491,64380128,74281755,74281756,87884066,74281747,61505096,258180818,52506502,61505128,74281722,61505079,61505078,74281721,61505212,55228078,44377400,257303775,67571165,81040025,95098463,258258998,112699617,101113140,101113141,258848532,101984238,90852388,76973781,76973782,259298952,84629170,98553058,112547006,261097989,260378112,98328142,84418874,84418873,98328140,112311109,126171744,112707360,98711651,98711652,98711647,84783510,84783511,78545205,78545204,87132312,73513595,60764475,258218779,87132310,101130465,106911588,106911589,101130468,87132314,87132313,101130466,115208338,121178399,106911571,92592813,92592812,92592841,78545231,78545230,78545247,71214423,58492580,47114318,47114317,257314716,84783499,84783500,94385012,106911602,92592849,271082425,98711637,84783502,84783501,98711635,112707348,260082026,98328268,84419000,84419001,98328271,112311235,103576994,89480409,75716278,62768174,51133720,51133721,62768175,75716279,89480410,103576999,258505474,118520527,259134374,90184261,259933741,98808173,90184257,76356041,257742617,41376126,32526798,24883155,24883153,32526795,41376120,51601170,63324737,257742605,51601132,269954753,88441714,74809208,74809205,258876612,115667006,101626239,101626240,258033850,271296655,268914032,126161819,139537646,152269380,152269148,139537455,139537454,126203136,112342671,98360141,84450467,70893599,70893598,84450465,98360139,112342669,271297664,151482242,151482241,259904618,126161666,126161665,259285284,258033848,111649555,111649556,269775226,112300959,98317815,258298498,126161655,126161662,139537452,152269146,164154677,174972569,260506576,164190935,261085536,152269149,139537457,139537458,139537447,270406610,98317817,84407877,84407871,84407872,258298496,126161651,129553418,272254467,258921410,98317824,84407882,84407881,98317823,112300968,258921406,98317821,84407880,70850267,58135947,58135946,70850265,84407874,98317812,112300957,126161653,126811908,112957907,102487669,270406613,269888953,61269980,74049708,258298500,70850269,58135948,256557590,84407886,98317829,100454576,100454573,114479841,100454572,100454571,114479839,258719514,140161966,126811906,126161667,112300971,98968670,258697587,71471987,85043709,259546474,112957904,101802927,101802926,89207569,75455456,62533012,62533011,75455453,89207564,103302704,117438186,126161668,112300988,98317845,269009614,70850275,84407895,98317842,112300987,259324097,85043710,270901283,74224002,61444320,258254093,87828984,74224003,74224004,87828988,101802930,258254090,257062490,87751712,101724404,115769556,129666366,115849086,101802912,101802911,260053598,126161672,112300978,112300977,112300981,126161675,139537467,129748243,259546476,259546478,152269154,155684357,143130456,129798084,129798083,126938336,259896238,99384572,99384574,101851467,87878143,74275735,74275734,87878141,101851464,268911424,256836284,258025570,129798087,259277112,115897759,101851463,101851462,113384050,99384576,85444386,71859844,258722607,270282584,87878146,74275739,61498765,255380442,31324528,31324527,255380440,61498762,74275733,257415568,258650356,70788489,58071191,46699072,46699074,58071193,70788492,259277115,87652792,74049670,74049671,259487607,259965963,71859845,71859846,85444389,259965965,127240727,113384053,259347759,71859852,71859851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9179559, s2 = 3196108, dlinesl.size( ) = 2 s1 = 9179559, s2 = 3196108, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9179559, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8652919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3493963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3493963, s2 = 14591886, int(edited[s2]) = 0 s1 = 3493963, s2 = 14591886, d1 = 15, d2 = 1 Dl.O(d1) = 115696656 Dl.O(d2) = 61292940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3493963, s2 = 14591886, dlinesl.size( ) = 2 s1 = 3493963, s2 = 14591886, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3493963, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6965976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6965976, s2 = 14052806, int(edited[s2]) = 0 s1 = 6965976, s2 = 14052806, d1 = 23, d2 = 37 Dl.O(d1) = 260702291 Dl.O(d2) = 21575683,28847597,28846623,28846625,29631037,22279171,16135909,11209050,7437392,254771675,16135902,22279166,29631036,23114983,16855710,11788639,7871781,4997272,3019364,1754705,998430,998432,1754707,3019367,4997276,7871788,11152639,7397339,7397342,7167202,7167201,7872151,4997536,3019499,1754775,998474,998477,1754785,3019508,4997560,7105857,10755565,254767385,7396630,7378011,7378012,11123526,16020700,22137230,16060796,11151925,11151926,16060797,22188110,28847850,21575989,21575988,15552816,10756866,7106822,7106823,7106427,4474079,4473803,4473804,4673256,7105820,7105818,5082882,5082883,7105784,4473656,2687695,2687694,2687776,1556882,885106,499385,254120719,1556876,2687765,4473807,4473767,2687750,2687749,4473763,7105974,4473997,2687885,2687886,4474002,2687933,1658260,943506,532105,532110,943470,1658170,2857145,4740895,7500006,11296419,16248311,22412427,25130720,32836029,36767406,28272435,21069508,15134361,10438164,6881090,6881089,10438160,11810353,16880681,23140887,29797362,29241446,21922293,21922294,29241452,29802668,22436688,22436687,29802663,38374409,48285163,39926933,31251493,23767076,23767075,29496218,24038615,24038616,31541871,40228236,36767397,36767398,31392737,31392735,37195515,37195514,31220466,31220467,39897316,40074258,50095119,59606840,48220116,48220113,49944553,49109422,39179954,30582252,23164500,16901941,11828146,11828145,16901934,23140866,17439098,17439097,23767067,22430909,22430910,29797371,38370085,47727419,38262090,38262088,48171642,59026885,47623974,37701015,29140243,29140244,37701018,39435791,31541887,24038629,17686922,17686923,24038634,31541890,40228256,50248084,60768403,49366011,39437226,39437229,49366020,47091184,39437186,39437187,36916752,28418873,28418874,36916758,39155445,30557994,23140777,23140776,30557991,23164482,16901928,16901927,23164477,17131360,17131359,23404900,30833672,39437690,49366264,60767864,61422470,53315368,53315367,49364890,49364889,49365280,49365281,49364918,49364917,60767769,60767720,60767721,49365348,49365349,48923185,38999322,30410328,23005625,23005627,23403534,30831833,37238514,37238513,37238521,30831875,30831876,30833357,30831652,30831654,23403755,23403756,30831539,23403357,255009188,17130421,23403337,30831516,39435734,49364882,49364896,39436082,39435707,30831497,30831498,39435711,49364856,39435776,30831553,30831552,39435772,49364916,49364966,268664351,23403508,17130527,12038878,12038879,17130528,23403511,30831801,39436067,38999311,30410320,30410321,30831882,30831883,30831888,39436150,49365244,48524876,39435965,30831723,30831722,39435962,39435950,39435949,30831709,30831710,30831508,23403331,23403330,30831505,39435722,39436431,39436432,49365483,60767736,49364852,39435704,39435703,43874939,41742676,41742677,49365181,39436078,30831813,23403521,17130534,17130535,23403525,30831819,39436084,49365185,258219049,87135400,257445410,60767939,54617353,54617354,257611439,39436203,30831944,23403602,17130578,12038909,12038908,17130576,23403601,30831943,32821630,25117535,18566721,18566720,25117533,30832309,23403832,23403828,30832256,23403804,23403805,30832262,39436518,39436546,40199879,40199880,47757788,37835338,29269297,23403901,17130740,17130742,23403909,30832403,39436657,39436529,39436530,44481978,43874925,43874926,37835276,37835275,30831866,23403553,21946930,15857620,15857619,21946924,29269275,30832492,23403957,23403954,23403952,17130755,17130754,23403947,30832472,26616834,26616833,26616817,19807843,19807845,26616821,23403845,17130698,17130697,23403838,23403814,17130688,17130690,23403822,30832204,23403774,23403775,30832211,39436322,30832419,23403916,17130746,17130748,23403925,30832426,39436674,39436999,30832804,30832805,35105317,44481982,41777600,32857006,25150155,18593418,18593419,25150160,25117542,23405046,23405044,30832875,30832876,39436692,30832449,23403935,23403937,30832457,37836617,29270473,29270471,37836612,30833830,30833831,257030687,49146982,49146981,39437118,257030651,256485437,12039409,8093842,254386713,1851881,1851880,3163525,5185411,8093820,8093729,5185361,5185360,8093723,268103489,23404088,30832672,256485401,23404748,255148897,255148899,23404750,255754218,17131094,17131093,23404471,23404093,23404094,17131332,12039334,12039331,17131322,23404842,22539029,22539027,29894236,38451044,29894073,22538920,22538918,22538923,29894078,22539096,22539097,29894352,38451045,38200653,38200654,39437734,39437353,30833310,30833309,39437419,30833317,30833316,39437426,30833759,23404994,17131412,12039388,12039389,17131416,17131274,12039296,12039297,12039359,12039358,17131371,23404934,22539154,16364342,16364341,22539152,29894413,38451392,48353267,59736554,48352952,38451005,29894253,22539035,16364285,16364275,16364230,11388005,7565667,7565666,11388001,16364222,22538849,16364319,16364320,22539108,29894360,38451233,38451212,29894226,29894227,35105307,35105306,37352272,29893893,29139768,29139769,37700533,30833750,30833735,23404982,23404983,30833740,30833512,23404757,23404758,29894244,28813560,21545428,21545430,28813565,37352352,29002462,29002463,37548292,33738363,25931585,25931586,30832596,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6965976, s2 = 14052806, dlinesl.size( ) = 32 s1 = 3228582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2280700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662824, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10340310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3229114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3495326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2937796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2937796, s2 = 14338457, int(edited[s2]) = 0 s1 = 2937796, s2 = 14338457, d1 = 27, d2 = 29 Dl.O(d1) = 87736250,101710499,115756855,129655056,142983901,155533911,167166838,177666230,186947393,195032965,201951215,264556507,216488942,219741710,222488000,224846218,226893080,228676885,274565351,232896005,232896004,234031371,235066151,236007478,236863342,237641201,236863353,236863352,237641203,237641202,237641205,237641204,238347859,238991609,239583558,266918514,239583560,238991612,238347863,237641210,266531552,235066153,235066152,236007480,236863347,237641207,237641206,238347862,238991610,274835323,240638574,267013069,241950027,242323786 Dl.O(d2) = 241622422,242020934,241622423,241190903,240724854,240221857,239678912,239092301,238453890,237754955,236985915,236143274,235218774,234203365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2937796, s2 = 14338457, dlinesl.size( ) = 2 s1 = 2937796, s2 = 14338457, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2937796, Dl.E( ) = 30, 8.11e-06 seconds used appending s1 = 13578393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6821949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10194901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13444527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13966493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13966493, s2 = 15217932, int(edited[s2]) = 0 s1 = 13966493, s2 = 15217932, d1 = 61, d2 = 53 Dl.O(d1) = 257831585,257831587,259077205,259889927,261279867,115777153,129674006,130036018,143368273,130036020,116126070,102067700,88081138,74468597,61685265,50201953,50201952 Dl.O(d2) = 269565975,43211389,256181121,26258510,34123974,255876783,21969965,29296351,37865555,47790067,50036393,61515419,71929808,74293070,61515447,61515446,74293067,77782091,77782092,74293036,61515398,50036373,50036374,61515400,61515484,61515483,256609422,50036401,50036400,61515426,50036479,40017062,40017063,40017012,31338063,23845680,23845678,23845677,31338060,31338077,37285954,41603853,32701016,32701015,40017089,40017088,33331292,25571495,18962275,18962276,17504322,12342718,254593841,3309633,1947038,254270343,254593839,12342687,8338632,5382100,5382099,8338629,12342682,17504263,17504302,23845669,23845670,31338019,31338093,31338092,40017049,50036463,50036386,40016980,40016981,40147987,40017043,31338088,31338087,40017042,50036457,40017071,40017072,50036487,48163992,38254736,38254737,29689581,22336888,16189120,11253186,254530611,4720753,7470066,255088391,22336884,29689575,38254836,38254733,255904661,22336819,22336851,22336852,29689497,29689499,22336858,16189106,16189104,22336855,29689532,29689480,22336813,22336814,256401011,48163974,38254765,38254764,31247653,31247654,39923205,49940900,49940922,257642715,49940660,49940883,39923187,31247638,31247637,35321812,35321813,44747823,39922971,31247407,31247406,39922969,35321825,35321826,44747825,35321816,35321815,31247690,23763369,255169699,8299830,8299829,12289664,17435649,23763359,31247648,31247649,37482827,28940905,21662117,21662115,28940901,31247579,39923150,39923193,31247642,23763316,23763315,23763118,17435555,17435552,12289593,8299801,8299800,12289606,255558071,12289505,17435408,23763053,23763068,17435539,12289588,12289589,12289490,8299729,5354350,267909267,12289493,17435396,17435757,17435603,12289628,8299809,5354401,5354400,8299807,12289623,17435598,23763289,23763351,23763495,23763493,268677925,23763014,255558107,12289648,254590465,3290895,5354432,8299870,12289714,17435696,23763025,23763026,23763339,23763340,31247668,31247602,25018036,18488054,13134553,8951504,8951502,13134551,254981358,23763261,17435575,17435576,23763024,31247368,31247603,23829336,23829329,17491326,12332744,12332746,17491330,23829334,31247724,23763418,255335862,8299880,5354437,5354438,8299884,12289738,17435733,20203638,20203637,27103630,31247600,23763266,17435581,12289615,12289614,17435578,18488194,18488196,256098575,32701594,25018067,255239253,13134603,255638187,25017619,18487747,18487746,23763449,31247767,25017643,25017641,18488045,13134549,8951501,5842605,5842604,8951499,268136695,255335860,18487733,13134337,8951383,5842543,5842544,8951385,13134341,18487738,25017551,18487715,254903823,8951375,13134322,18487714,25017584,32701075,25017678,25017679,31247756,23763444,23763443,25017680,25017682,25017623,25017622,32701052,25017561,25017560,256612451,25017489,18487633,13134263,13134262,18280899,13134286,13134285,18487667,25017525,32076085,32076080,24502828,24502827,24756377,24756376,32375439,256653818,35122390,32701186,32701188,32076101,32076100,39923293,40847010,32076074,32076077,32375508,32375509,41194413,40846951,40846952,32701790,32701789,41604701,50980419,50980418,51903636,41622650,32716864,25030667,18498276,18498275,25030664,32076042,40846955,41603825,32700981,25017497,25017498,32700985,41603828,32716855,25030658,25030659,32076056,24502818,24502816,256753786,25018015,25018016,32701602,41603810,50980478,41603842,41603843,44500183,35122402,35122395,35122394,41194415,41194416,51385189,41603924,41603925,51903716,63710403,72566259,59830849,48444581,41622647,41622648,256228336,50980411,40846964,40846965,50980413,55419949,55419948,257166466,72566253,86164469,78049386,64852367,52926828,42516305,42516304,52926826,270008481,52926793,52926792,63710904,52774464,42375489,42375490,52774465,64688682,255752458,52926813,52926812,49940908,49940907,41603988,41603987,50980456,55391056,44543745,35166074,35166073,44543743,55391051,67731362,81151829,67686120,55346481,49432874,39501720,30894409,30894408,39501716,41927761,41927760,52266409,64115303,70738000,70737999,73490895,87109715,101107956,95285115,81227568,81227569,90901053,87112033,73493358,268829182,50687020,40629055,31914316,24382341,24382340,23376213,23376193,17106550,17106551,23376195,30804150,23837430,17497653,12337423,12337422,17497649,20175338,14475412,12337372,8334590,5379245,3307755,3307756,5379248,8334596,12337382,255335922,31328715,40006834,50025406,48585116,44570704,254473962,48585115,38669023,35192634,27103635,20203642,14497176,9975209,9975210,14497177,254095948,35192635,36807974,36807973,42334053,37227714,28701605,21449314,255620880,18982894,13545940,9273417,9273361,6074323,3800621,3800622,6074325,9273366,13545842,9273356,6074320,6074318,9273353,13545834,255674285,17525346,23869743,31364190,24978335,24836138,24836139,32476384,40952592,40952551,32172992,255146752,254942857,6189828,3873806,3873805,6189825,9442281,13192504,8993447,8993446 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6822162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7046873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7046873, s2 = 10340351, int(edited[s2]) = 0 s1 = 7046873, s2 = 10340351, d1 = 46, d2 = 45 Dl.O(d1) = 261804822,115788618,115788617 Dl.O(d2) = 8368753,12384571,8382208,5409305,5409302,8381860,5409112,3325317,3325315,1955796,1955798,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,10295678,12265592,17404640,258100597 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3231498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3231498, s2 = 14201317, int(edited[s2]) = 0 s1 = 3231498, s2 = 14201317, d1 = 19, d2 = 195 Dl.O(d1) = 101745060 Dl.O(d2) = 29438409,22105310,15994346,15994347,12181904,8213304,8213303,12181901,8213578,5284423,3237135,3237134,5284419,8213573,12182312,17305142,21583273,21212892,21212891,28438082,22027827,22027826,29358251,25413753,25413754,27244494,25455741,18856799,18856798,25455738,28855405,21582726,15558693,10761737,7110617,7110616,10761731,15558680,12212962,8243512,8243514,12212970,15558987,21583165,24136149,24136152,18571543,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181823,11103187,11103186,15994316,22105279,29438373,38001138,38001137,47304585,37395159,28854563,21582047,255845979,269352002,71427841,255927254,49798924,49798923,47956878,47956879,48261600,59648710,58182920,58182921,61277916,49798533,39778710,31100303,31100304,38350465,38350466,48261374,59648587,58696265,58696264,71428808,60657285,49256862,49256861,49799871,61278231,61278230,74058154,74058300,74058299,72383366,59648630,59648629,60657151,49256575,39329842,30731479,30731480,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,18856591,18856592,25455489,33202367,35080470,35080471,44455480,55300056,64399188,52525620,255600856,60657625,58046125,58046126,70764995,64399014,257630526,60739901,49336609,256277738,30802746,23375075,20200687,20200690,27100307,35189093,42162720,268492657,9185653,6011977,3760101,2252491,1307233,746312,746315,1307243,2252525,3760230,6012329,254921725,18858043,25457279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3231498, s2 = 14201317, dlinesl.size( ) = 20 s1 = 9444721, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2284766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4446647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13672611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3498134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3498134, s2 = 8379060, int(edited[s2]) = 0 s1 = 3498134, s2 = 8379060, d1 = 34, d2 = 30 Dl.O(d1) = 115806566,269869854,87787316,74183075,61403118,49923360,255168872,23743195,17418419,12276817,254399784,23743197,31226764,39903602,49923362 Dl.O(d2) = 262805220,207810257,212603801,216520867,219769716,262941900,214507637,210207275,204947501,198601357,191111155,182408044,172456242,161256143,148950749,135711471,121770589,107385450,92974318,78862225,255270070,78507644,89391915,89391916,103486168,105035438,93006192,78896664,65561852,53537149,43057321,43057322,53537152,53828298,53537185,43057348,33998323,26156425,19457248,13924600,13924601,19457250,26156429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3498134, s2 = 8379060, dlinesl.size( ) = 2 s1 = 3498134, s2 = 8379060, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3498134, Dl.E( ) = 36, 1e-05 seconds used appending s1 = 3499193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3499193, s2 = 9165049, int(edited[s2]) = 0 s1 = 3499193, s2 = 9165049, d1 = 2, d2 = 7 Dl.O(d1) = 115825357 Dl.O(d2) = 74203461,61424809,49946981,49946982,61424812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3499193, s2 = 9165049, dlinesl.size( ) = 2 s1 = 3499193, s2 = 9165049, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3499193, Dl.E( ) = 8, 2e-05 seconds used appending s1 = 9549124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9549124, s2 = 14164912, int(edited[s2]) = 0 s1 = 9549124, s2 = 14164912, d1 = 104, d2 = 107 Dl.O(d1) = 11975519,8021779,6994724,4395858,4395857,6994722,10601687,10672708,7049141,6417697,4085322,4085321,5969276,6995595,4396393,4396388,6993780,6993781,5969454,3733156,3733158,5969461,9122690,9935435,10601536,6994600,4395783,2634160,2634162,4395788,6517365,6518739,9918773,12826095,8720460,5676295,5676294,8720457,10601970,15347786,21318554,18306565,14418873,14418359,14418360,9935390,9935389,14442878,13790168,13352136,12994842,8846922,5765775,5765772,8846919,12994838,12825801,8720179,5969479,5969478,9122715,9918228,14419767,14421523,9920005,9920004,9125719,5971653,3734429,2235879,1296639,740037,420620,237404,237403,420608,740007,739901,420568,420569,739904,1296360,2235332,254442005,6530126,6517118,4083445,2443207,1412783,1412785,2443211,4083453,6517129,9916705,12777663,18027515,23332584,23332583,21383140,15401801,15401802,20276882,19231832,13739767,13739768,19231834,25891206,33697172,39930286,31255208,23770751,256009457,23776486,31261574,39936634,49953972,61431958,74211156,87815071 Dl.O(d2) = 259602014,117545941,103416287,89323097,89323096,103416286,271928737,131347091,258348506,103416286,258974704,131347094,131347093,121160204,259501466,121160205,121160206,134969067,270992190,131347095,144572623,134969065,121160205,121160206,134969066,131347094,117545943,103416288,89323097,268014594,18090217,12825094,12825095,15413921,15361241,15361240,21334470,15361229,10612933,7003159,4401654,4401653,7003156,10612927,12727553,8648329,8648330,6224780,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208933,1208931,2099787,3528205,5672289,8014886,254498140,1809973,1809974,3097818,5103242,4576831,2753661,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002610,11001557,7282706,7282705,11001550,13351856,13351855,11002450,7283300,4593089,4593088,7282216,11000880,15871863,19506351,13962044,9586342,6292552,6153801,6153802,9383964,6147615,6147614,9383963,6164279,3857113,3857110,2310835,2310837,3857137,6147596,254939193,6200191,6200194,9456609,13791345,13791344,19290291,25954463,19290201,255560680,33762960,42794514,42794654,53246869,53246795,42794568,33763017,25954509,19290233,13791304,13791305,19290234,19290229,13791303,9456494,6200114,3880618,2323892,2323894,3880622,6200121,9456486,6200110,6200111,9456488,13791295,19290214,25954484,25954478,19290211,13791293,13791294,255696015,33762979,36793593,46679648,55484265,67825760,71820442,61982966,50491001,40455205,40455204,32157566,32157567,257715589,75652661,259579473,89414204,103507905,117637643,131438373,144661253,157059668,168507277,178812764,185407113,175918885,165211908,262216693,140726998,127370591,113500582,260574159,85542510,258730593,59215970,257496699,37895396,255878509,21997061,16116033,16116032,22254637,29604448,256390920,39904288,49923968,61403621,74183494,61994975,257101889,40467135,50503121,61994976,74791459,88423665,102425114,116522110,130360470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9549124, s2 = 14164912, dlinesl.size( ) = 2 s1 = 9549124, s2 = 14164912, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9549124, Dl.E( ) = 108, 3.29e-05 seconds used appending s1 = 14164560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164560, s2 = 7869161, int(edited[s2]) = 0 s1 = 14164560, s2 = 7869161, d1 = 45, d2 = 0 Dl.O(d1) = 256028094,65470165,78800418,92906667,97886273,84017424,70483434,57783161,46428110,36563783,28093505,20919104,15012723,10341908,10341909,10369013,8144581,8144580,12113118,9061438,9061439,6775102,6775104,5931183,5931186,3708630,2220959,1288390,735565,735566,1288396,2220973,254439035,9070388,13287351,18680227,21205503,21205504,28428612,21204875,15238900,15238903,12634427,8578431,8578428,12634418,9760386,6417401,6417399,9760381,14198560,19818128,19818130,17844491,12636496,12636494,16426281,16659471,15705631,10872467,7188616,7188617,10872528,14091026,12741174,9760103,6417231,6417229,9760097,14198119,19821019,26385372,26385367,23332048,23332049,30754610,37272742,28740676,21483127,21483126,22595242,29959843,32022245,24460705,18041796,18041795,24209823,19659325,19659327,22925186,16690730,16690731,17266333,22781645,16566087,16566086,19837935,254800008,12636275,17844211,14085244,9688443,9688445,14085248,17118058,12029457,8087243,8087242,12029454,17118053,23389896,24822018,25575794,254786924,30820600,38508883,29945088,23625098,19657498,14090245,14090246,19657265,19657267,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745122,11626990,16565387,21198134,15233733,15233732,12033490,12033491,12278980,254548190,3288034,254184459,619688,344343,188820,188819,254105545,1104445,1933592,3288033,5349914,254845091,12678527,12678528,17156150,12678516,8610702,8610701,12056009,12056011,12349055,12349054,8364611,8364610,5423675,3334153,3334156,5423687,8405155,9243124,6956404,6956406,9235860,13499499,18935094,16801804,11748460,8366370,8366368,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383067,12395216,12666765,11618603,8376686,7680102,7679693,7679692,11543279,8279463,8279464,9272576,6073858,3800370,3800369,6073851,9272558,13544690,15232902,12403961,12403962,12269905,12269906,17410516,17164041,17164039,17547573,17380964,17380965,17404181,12265227,268109799,23728070,30455208,30455209,23436420,17555267,12384701,12384702,17555271,17703257,17703258,24058161,24891157,24891155,23900168,23900167,25564179,25564180,33325270,255818456,49959239,61437169,74216352,87820361,101792862,259905990 Dl.O(d2) = 7968646,5070240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164560, s2 = 7869161, dlinesl.size( ) = 42 s1 = 3362709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3362709, s2 = 10175780, int(edited[s2]) = 0 s1 = 3362709, s2 = 10175780, d1 = 31, d2 = 69 Dl.O(d1) = 109851195,109851189,109851190,123989814,260689982,260689984,152209949,143041565,129710943,115812323,101766496 Dl.O(d2) = 109851190,123989814,137671056,150667538,143041580,129710992,123989812,109851188,95648197,95648196,101766497,115812326,129710949,115857156,101811081,101766493,87794071,74190360,74190359,87794070,101766491,115812315,101811083,257038450,74232720,87837394,91538363,105760585,98273157,87794072,74190362,61411309,49932715,39914421,31238961,23755458,23755459,23755457,23755456,31238958,39914418,49932711,61411302,72547294,59812113,59812112,72547291,86145722,100111771,114145397,112252888,98273201,84364623,70805966,58089113,57631368,46286620,46286619,57631365,70322137,83847931,70805936,58089089,46717344,36834675,34561698,26574984,19772934,19772933,26574982,34561693,43834555,54579738,61453573,66839078,70322140,268493362,46286621,43834551,34561690,26574979,19772931,14162879,14162880,19772932,26574981,30103283,22721642,20868996,14966794,10299137,6771828,6771829,10299141,14966803,15588325,10783609,10783610,13319657,13319658,13319676,9099808,5953820,5953821,9099811,13319681,18713031,254643672,33010778,25285833,25285832,33010774,36504820,28041453,20873511,17980122,12742590,255209747,21631395,28905645,36874023,36874022,28632417,28632416,37146404,36874020,36874021,46753220,58121738,58407753,47035341,257441127,71125588,84689897,89176156,75429040,62510332,50909927,50909926,62510329,75429036,77532956,91464986,91464979,77532950,64364903,52492001,42135106,42135105,52491998,64364897,77532942,89176161,91464983,77532953,64364905,52492002,52492003,64364906,77532955,81621982,68132248,257404320,68132249,81621978,68132246,55734403,44826782,35401059,27274335,27274336,35401061,44826784,55734407,68132250,71086577,81621986,95654882,106663928,92359505,78325885,78325886,92359509,95225819,81169528,67703929,67703930,81169530,95225823,109479736,108651658,94363543,80306840,80306841,94363545,108651625,108651624,108651646,94363519,94363518,85202308,71637669,66877197,54619304,54619303,54619312,66877212,80306798,66877182,54619295,43876832,34606216,34606215,43876830,54619292,54619320,54619297,257884559,66877179,54619298,54619286,43876825,34606212,34606213,43876827,54619288,257884561,80306814,94363515,108651642,109419422,97985600,84110868,84110867,84110869,84110876,70574526,70574527,84110878,97985609,111924916,97985632,97985631,102490596,271316018,97985615,84110881,70574529,57873606,46518084,36651048,28175355,28175356,268907103,57873611,70574537,84110897,97985627,111924932,272167603,141113613,127756048,127756047,141113612,153787013,142595297,142595298,155233096,142595299,142595300,155233098,154462145,141816069,141816070,154462147,166196059,176813666,166196064,166196063,173552079,166196069,154462157,154462150,141816074,128463144,114578971,114578972,271357790,128463168,141816092,128463163,128463162,141816077,271167806,128902691,115000780,115000781,259154042,100548249,100548250,258184896,86587287,100548246,100548266,114578968,100548244,86587285,72990242,72990243,86587309,100548272,114577288,114577289,128461389,114579004,100548281,100548278,86587313,72990248,60254895,48862091,38942443,38942444,48862094,60254882,72990231,60254891,60254881,48862085,38942440,38942441,48862087,256214022,42010432,42010431,42183500,39028999,39029000,48951156,39292444,30694968,23931675,23931674,31422142,37358634,28818874,28012384,20846659,20846657,26947381,35028074,37986040,31352199,26932788,20046603,254213962,6482221,4061952,2431024,2431025,4061956,2432128,1406754,1406755,2432094,4063990,6485587,6494196,6494193,9884138,14378122,20041096,26926532,29075406,21777458,15718225,10881293,7194241,4532283,4532282,7194239,254820220,11096284,7359116,7359117,11096286,15983703,22090556,255323934,255325388,23859122,23859123,31352639,35018722,254974186,37250136,28719271,21463121,15462541,10691553,7063293,267964451,15462540,21463119,21823267,29130262,37692170,30244462,22850417,16625787,11596971,7719768,7719769,11596973,15324770,15324771,21290179,28510192,30585203,30585202,33007102,25282226,18709499,254913409,9097023,13316369,18709505,23266223,17002413,11915609,7970703,5071659,5071660,7970705,11915613,17002429,23266256,30683087,30904780,30904779,39280002,30779022,30779021,33007113,30904782,30904781,39512923,49206355,39279978,256476168,18709503,18709501,25282228,23470175,255989053,257036861,60845685,73595133,77347887,64200209,258392897,66889292,66889291,64200211,52349749,42010409,42010410,52349751,42010426,42010427,52349769,52349790,42010448,33066271,269988916,64200254,77347926,77347895,64200221,257188879,42010418,42010411,33066270,25336717,18757107,18757108,25336698,18757093,13356168,9127695,9127694,13356166,18757090,18757104,18757103,25336713,33066234,33066235,25336700,25336701,33066246,42010412,52349753,256487714,36515965,36515964,31775331,31775332,40470166,50505781,61997348,74793750,78898618,65563941,255535590,52349810,42010469,42010468,52349808,47252337,39094655,30498791,30498792,33066286,33066285,42010470,52349811,64200277,269455332,258094767,85406101,82816762,270139612,110833072,113351245,123564725,109373798,109373799,96771714,82816765,82816766,95195301,81138062,81138063,95195302,105895139,105895138,120106548,133948206,147170504,133948199,133948198,133948187,133948188,120106552,120106551,120106546,271995715,120106539,105895132,105895133,120106529,105895130,91688054,77760734,64577914,52677573,52677574,64577915,77760736,91688058,105895137,120106545,119727406,105488277,91265878,77345893,64198442,258392759,91265879,271284171,111675850,111675849,111675837,97757461,97757460,111675835,97757475,97757474,111675857,102426802,88425384,88425385,102426803,259539816,108731121,108731122,108755019,94464939,80405131,66974812,66974811,80405129,94464942,260191761,89357960,89357959,94464937,271147931,94464936,102426807,88425388,258292300,75596841,62654644,62654645,75596843,66974807,54715844,43972065,34696844,34696843,43972063,54715840,66974803,62654640,62654638,75596834,89357954,103453201,117583542,262128391,150540309,261089752,123788976,137511330,134891785,121090266,106830898,106830899,106830888,106830887,106830855,92519412,78479665,78479661,65195284,53209557,42759886,42759884,53209554,65195280,78479658,92519406,106830847,121090214,134891725,148011605,160259575,148011594,134891712,134891711,148011592,160259573,160259610,162659264,273084461,261606593,138877764,151580465,155073590,142428990,142428991,138876815,125544219,111738225,97816272,83957271,70430929,70430930,83957274,259872233,97816273,83957724,83957725,259872317,125545393,261606637,163463884,263061361,166923905,155238720,142601462,136802617,136802618,142602052,154276299,141620425,138878469,125545604,111739329,97817049,97817048,111738898,111738896,97817009,83957797,70431278,57736946,46387112,46387111,46387105,46387104,57736939,70431268,83957281,70430935,57736750,46386984,257392345,70430942,83957265,70430927,60851379,49449565,49449566,60851386,73601019,87223179,101224146,115302350,125544304,138876940,142601583,142601582,155238855,154276299,141620425,138878469,125545604,111739329,111738912,97816749,83957601,83957600,97816745,259253539,70431269,60851320,49449555,39517586,39517587,49449560,60851367,73601000,87223151,101224107,115302298,129230609,142601418,152534668,152534669,155073633,142429039,142429040,262128459,151581192,138878536,125545665,125545666,137511455,123789083,123789082,137511452,134891802,134891803,148011677,155238707,142601443,138877402,125544732,125544734,138877405,129230673,115302344,115302345,129230675,142601484,138878535,125545665,125545666,137511455,123789083,123789082,137511452,134891802,134891803,148011677,155238707,142601443,138877402,125544732,125544733,138877403,151580028,163463015,166923891,171474112,160259592,148011621,148011619,142601884,142601885,142601845,129231056,115302672,101224396,87223371,87223373,83957865,70431308,57736958,57736957,70431307,83957862,97817075,271752549,138878523,151581201,163464089,174311510,263350610,272704346,148011677,155238707,142601443,138877402,125544732,125544734,138877405,142601483,263221219,194875432,199726653,197305002,189618394,180722198,180722199,263714865,264354413,205890747,263826849,263826851,186952725,177671890,167172773,262801861,263966077,197305003,189618394,180722198,180722199,263714865,264354413,205890747,263826849,263826851,195037827,263783276,170823913,159492192,147130189,133905424,133905428,147130198,159492200,166923558,167172737,174311131,174311132,167172754,167172753,174311012,163463461,163463462,174310836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3362709, s2 = 10175780, dlinesl.size( ) = 18 s1 = 13221697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2628182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9702167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9702167, s2 = 9280319, int(edited[s2]) = 0 s1 = 9702167, s2 = 9280319, d1 = 147, d2 = 139 Dl.O(d1) = 258256080,61470061,61470060,74248388,259502733 Dl.O(d2) = 115874699,115874700,129774497,143105366,155657136,167289162,155657133,155657134,167289164,177783910,187057764,195134717,202042284,207850594,264812861,265243773,222535079,224887755,226845361 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10183973, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2629365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2629365, s2 = 8587055, int(edited[s2]) = 0 s1 = 2629365, s2 = 8587055, d1 = 1, d2 = 1 Dl.O(d1) = 74264254,87866315,101838755,115883426,261288299,155662707,167294360,177788661 Dl.O(d2) = 74264254,87866315,101838755,115883426,261288299,155662707,167294360,177788661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2629365, s2 = 8587055, dlinesl.size( ) = 2 s1 = 2629365, s2 = 8587055, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2629365, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14164847, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3471559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3471559, s2 = 8521265, int(edited[s2]) = 0 s1 = 3471559, s2 = 8521265, d1 = 3, d2 = 4 Dl.O(d1) = 114741038,114741039,108625203,108625204,94338165,80281949,80281950,259759693,122889232,108625280,94338148,80281939,80281940,259759691,100691156,100691158,114741058,122889122,108624983,270632557,66851938,54592949,43848323,43848322,54592947,66851931,80281682,66851897,66851898,63763351,51949208,41643409,41643408,51949201,51949200,63763348,76872086,90750335,259759631,80281781 Dl.O(d2) = 94337977,108625102,260968427,149863231,137432782,123702770,109511040,108625090,259170196,122889294,136720996,149863254,149863119,136720813,122889084,122889083,122889136,259324972,80281724,80281692,66851912,66851913,269613082,94337844,257284204,80281801,66852006,54593001,43848365,34576504,34576503,43848362,43848305,43848306,34576550,26589313,19784450,14171089,14171087,19784446,26589307,34576542,43848415,54593073,66852102,80281929,94338099,259130909,257882541,43848330,34576482,26589270,26589273,34576484,43848332,54592964,66851965,259130911,108625005,94337896,80281727,66851945,66851944,80281726,94337892,108625002,94337899,80281730,80281731,93515465,79379042,66010855,53940478,53940479,66010859,54592890,54592891,66851857,66852085,80281911,80281935,66852109,54593077,43848417,43848416,54593075,66851841,66851838,80281617,94337769,94338141,94338142,108625275,122889400,136720918,122889191,108625064,94337952,270632552,136720919,136720923,122889194,108625069,94337955,94337956,108625072,113811705,99797665,85844909,80281625,80281623,94337777,108624866,99797669,261720443,259505160,259505162,100398116,100398115,114421720,271658774,114421737,100398136,86442334,258173771,38795619,30211232,256439977,48716824,60111501,72847845,86442332,86442259,85805468,255174538,48082866,48082867,59473536,72211265,85805474,99759326,113773362,100398031,86442252,72847781,72847779,86442250,86442256,86442253,100398032,114421636,113773338,113773339,114421667,114421677,100398069,86442281,85805461,72211260,72211259,85805457,72847757,60111451,48716793,38795602,38795601,48716790,60111446,72847749,86442217,259505150,128297537,128297536,141647221,141647228,141647246,154301092,157525300,145090703,131831826,259405548,89756401,75977563,75977562,89756396,100397981,86442205,86442204,87881136,74278805,61502043,50024038,257649953,74278802,87881131,101854281,113773324,101854292,101854290,115900160,101854139,101854140,114421583,100397978,98366282,98366281,112348679,260119956,98366343,112348743,121005123,106752403,92447558,78411883,78411884,92447560,106752407,112348669,98366264,84456857,84456858,98366269,112348672,126208943,112348728,98366329,84456915,70900421,70900422,84456919,98366332,98366258,98366259,98366335,98366334,112348734,126208987,139583656,152312856,152312846,139583643,261077588,98366309,84456894,70900407,58187399,58187400,70900410,84456898,98366316,112348708,121005134,106752415,92447572,92447574,106752418,98366231,84456834,70900376,58187375,46821157,36943225,28443655,28443656,36943231,46821164,58187382,70900377,84456838,98366235,112348642,126208923,126208931,112348649,270902652,100397909,260038079,106752453,106752452,121005103,106752380,92447541,92447542,89326555,75568639,62629468,258322291,89326557,89326560,103419724,117549037,261356983,131349670,144574716,134801539,134801540,134801454,134801455,140879227,127523993,127523994,128297418,128297417,128297426,128297498,114421542,114421543,128297499,134801464,134801465,147919736,261214543,128297449,272319401,117549026,131349669,128297451,128297450,272573539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3471559, s2 = 8521265, dlinesl.size( ) = 2 s1 = 3471559, s2 = 8521265, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3471559, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 3502525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7009820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6611033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6611033, s2 = 11334100, int(edited[s2]) = 0 s1 = 6611033, s2 = 11334100, d1 = 105, d2 = 113 Dl.O(d1) = 256521096,87905894,101880145,101880148 Dl.O(d2) = 260850515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6611033, s2 = 11334100, dlinesl.size( ) = 64 s1 = 2761095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3238552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13601125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13601125, s2 = 2656478, int(edited[s2]) = 0 s1 = 13601125, s2 = 2656478, d1 = 91, d2 = 4 Dl.O(d1) = 132212456,145442004,262428481,272674604,132212394,118395960,104236586,104236587,105638045,105638046,119876658,119876672,105638054,105638053,119876670,133746687,133746678,119876663,119876662,133746676,146996683,155727475,143173258,143173257,155727473,143173251,129842079,119876661,105638047,91412134,77481278,64317077,64317078 Dl.O(d2) = 37418045,37536183,28991104,21706842,15665010,15665011,21706844,28991102,256348405,257470441,58830213,71557587,74873877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13601125, s2 = 2656478, dlinesl.size( ) = 2 s1 = 13601125, s2 = 2656478, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13601125, Dl.E( ) = 124, 5.48e-05 seconds used appending s1 = 7012130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3504322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3239199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3239199, s2 = 7688833, int(edited[s2]) = 0 s1 = 3239199, s2 = 7688833, d1 = 30, d2 = 45 Dl.O(d1) = 101905924 Dl.O(d2) = 272604320 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7688834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7688834, s2 = 2294301, int(edited[s2]) = 0 s1 = 7688834, s2 = 2294301, d1 = 19, d2 = 4 Dl.O(d1) = 272604321 Dl.O(d2) = 61560314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3239741, s2 = 11437728, int(edited[s2]) = 0 s1 = 3239741, s2 = 11437728, d1 = 0, d2 = 12 Dl.O(d1) = 101920559 Dl.O(d2) = 173014854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239741, s2 = 11437728, dlinesl.size( ) = 26 s1 = 6823949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6823949, s2 = 14627692, int(edited[s2]) = 0 s1 = 6823949, s2 = 14627692, d1 = 23, d2 = 44 Dl.O(d1) = 258886631 Dl.O(d2) = 260275156,52513885,58929029,58929020,47546679,37640446,29090016,29090015,29090098,21792116,15733694,10896942,10896941,15733692,21792111,254844934,12280242,255168570,29090064,35223390,269196079,256628564,52286009,52286008,64136472,52285996,41945447,41945446,52285994,254913080,41943810,33001865,33001867,33003866,36791382,33003742,25278956,25278955,33003740,40972939,41945613,52286149,55276878,48921021,38997199,30408227,30408226,38997197,48921019,41945436,33003626,268739069,33004055,33004054,33003803,25279009,18706434,13313094,13313093,18706432,25279005,33003798,41945624,52286163,254913082,41943816,254643690,52285993,52285992,64137970,64136468,64136469,77285502,64137957,52285968,41945410,41945409,52285966,64137953,62987491,51309145,41126191,41126190,48921016,48921017,52286109,41945572,41945571,52286106,52286271,52286272,51003144,51003145,62625935,75564715,89322578,269494326,52286178,41945635,41945634,52286176,256628560,64137955,52286183,52286182,64137949,64138095,52286157,52286156,52286172,64138107,75564713,62625933,52286155,52286154,59592898,257772340,62625931,258322061,77287020,269494332,73060905,73060906,64138117,52286181,41945639,33003807,33003806,41945637,41126194,41126193,51309149,51309157,51309158,62987511,75970043,89748987,75970036,62987502,51309154,51309155,60765147,60765146,73514374,73514371,60765136,60765137,60765141,52286171,52286170,64138105,60592008,49191704,49191703,59592880,49191708,49191709,60592013,49191705,49191690,49191689,59592879,48206339,38296952,38296951,48206337,59592875,72327569,60765119,60765118,73514354,85921146,73514309,73514310,60765060,49361744,39432198,30828034,23400279,23400278,30828032,39432194,49361742,47968891,47968892,59359915,59359902,258117141,47968873,38055673,38055671,47968867,49361802,257611173,59359886,59359880,59359879,72093467,59359877,258117135,49361798,39432246,39432245,47968883,38055681,38055675,38055674,47968875,59359895,47968861,47968860,49361730,49361728,49361737,49361738,258218809,59359911,49361803,39432253,30828097,23400354,17128235,17128233,23400352,30828094,39432248,49361799,59359905,59359909,256927109,38055684,47968889,59359908,60765003,49361792,39432243,30828091,23400350,23400349,23400261,17128167,12037316,8092574,8092575,12037320,17128172,255983005,30828089,30828113,30828080,30828081,23400362,23400361,30828102,39432259,38055687,29491690,22152785,22152784,256384981,47968853,38055663,38055665,39432158,49361699,39432233,30828083,30828084,39432236,49361682,39432138,39432137,49361680,39432254,39432155,30827992,23400257,17128165,255535033,17128168,23400264,23400346,23400347,17128241,12037363,8092596,5184741,3163171,1851677,1851676,3163169,5184738,8092593,12037358,11132328,7384179,4665132,4665131,7384177,11132324,255451897,23400252,23400254,17128257,17128258,23400335,23400336,30827997,23400259,255983003,39432163,39432257,30828100,23400360,23400359,23400305,17128196,17128152,17128153,23400231,30827966,39432142,30828132,23400385,17128255,12037372,8092601,5184743,3163175,1851679,1056736,1056737,1851681,3163178,5184736,8092589,12037346,17128217,16032779,16032778,22152755,22152754,29491665,29491667,30827980,30828050,23400300,17128192,17128193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6823949, s2 = 14627692, dlinesl.size( ) = 38 s1 = 3239876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3239960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3239960, s2 = 8963112, int(edited[s2]) = 0 s1 = 3239960, s2 = 8963112, d1 = 16, d2 = 95 Dl.O(d1) = 101923856 Dl.O(d2) = 266912835,239517061,238918369,274775125 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3239991, s2 = 9454795, int(edited[s2]) = 0 s1 = 3239991, s2 = 9454795, d1 = 27, d2 = 30 Dl.O(d1) = 101924228,258416628,143194881,155747236,260881698 Dl.O(d2) = 268155856,62963455,51288068,254668488,18875399,13450687,12922924,8791050,8777843,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239991, s2 = 9454795, dlinesl.size( ) = 14 s1 = 6534306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6824006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10141897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3505776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13645819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3072911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3241921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3241921, s2 = 7130992, int(edited[s2]) = 0 s1 = 3241921, s2 = 7130992, d1 = 1, d2 = 15 Dl.O(d1) = 101953966 Dl.O(d2) = 263006926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3241921, s2 = 7130992, dlinesl.size( ) = 2 s1 = 3241921, s2 = 7130992, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3241921, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 6824362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3452448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9501429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3507707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14856606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14856606, s2 = 13361312, int(edited[s2]) = 0 s1 = 14856606, s2 = 13361312, d1 = 19, d2 = 17 Dl.O(d1) = 36502169,28038900,20870949,254849402,10300788,14968611,20293150,14562181,10020495,6586012,4126291,4126289,6586005,8117495,8117497,10001411,6572643,4117185,4117183,2462571,2462570,4117207,6572690,9757321,6415701,6415699,9757317,12665598,8601193,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,9272878,6848255,6848254,6850136,6850138,10392905,15069537,20981602,28161228,255493730,57859491,70561146,84097458,97970979,111908108,125725300,125725297,125725296,139063872,151765656,163640681,174476434,184124881,192575009,199846393,193861122 Dl.O(d2) = 255900585,255520929,16146497,11217384,11217383,10332590,6800642,6800643,255003737,19222797,255692209,14977678,14977679,14977620,10310133,6781316,4250812,2541249,2541250,2055378,2055380,3466154,5586928,8598134,10386946,10299323,6818930,4277430,2557379,2557381,3466267,5587108,8598360,6832231,6832230,10370041,10382360,10308311,6821090,4278939,4278937,6821079,10357077,10383345,15057554,20937181,28114128,257399051,258009865,84045160,97915958,260481623,125666085,139004834,151709026,155882662,261301149,116094432,102037633,88053292,74441556,61657556,50171487,40146278,31462730,23966794,17616593,12434622,8403873,254405089,3333653,3334266,5422969,6532920,4093417,2449010,2449011,3325660,1955913,1955910,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584461,7269663,7680049,11543833,16561147,19834574,23722296,31208658,39883769,49904698,61385234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14856606, s2 = 13361312, dlinesl.size( ) = 2 s1 = 14856606, s2 = 13361312, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14856606, Dl.E( ) = 22, 1.29e-05 seconds used appending s1 = 13764277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3508737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7007281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7007281, s2 = 89920, int(edited[s2]) = 0 s1 = 7007281, s2 = 89920, d1 = 11, d2 = 15 Dl.O(d1) = 261259114 Dl.O(d2) = 269092062,15668715,15668714,21711132,28995723,33151765,256640291,25411066,25411065,31452903,40125475,50146682,53761105,53761104,50148197,40126704,31446941,31446942,40126706,50146361,40125963,31446328,23954229,17607746,17607745,23954226,31446209,31446210,31445932,23953970,23953969,31445927,40125449,40127517,40126311,40126312,40126291,31451235,31451234,40131306,42811293,40130177,31450293,23957494,23957495,23957504,31450303,40130190,40125506,40125509,50146711,61628730,74407532,64324732,52457792,52457791,61628696,50147007,40125780,40125781,50147008,50146309,40125098,31445574,31445573,31445630,23954434,17607850,17607849,268442779,31446243,31446242,23958235,17610623,17610622,23958230,31451251,31453165,23959682,17611602,17611603,23959685,268443081,31450300,23957501,17610162,12430320,12430321,17610165,17611643,12431226,12431224,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,628384,628381,1119801,1960176,3332880,5421616,8401699,12431186,17611580,23959651,31453111,40133723,255203870,40383206,50417623,256047628,88329324,88031646,258269011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7007281, s2 = 89920, dlinesl.size( ) = 2 s1 = 7007281, s2 = 89920, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7007281, Dl.E( ) = 22, 2.6e-05 seconds used appending s1 = 8473538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13614469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13614469, s2 = 3509491, int(edited[s2]) = 0 s1 = 13614469, s2 = 3509491, d1 = 0, d2 = 0 Dl.O(d1) = 61684351,50201046,40177279,31491817,31491819,40177283,50201052,61684353,74467565,88080046,102066643,116124964,130034954,261846417,262744512,177996285,187244148,187244157,187244146,261540238,155910189,155910190,262071772,170605366,173548868,183345786,191910770,199279006,203868888,197314339,191719343,183112714,173265661,173265662,183112703,191719339,260381734,205379271,201966746 Dl.O(d2) = 61684351,50201046,40177279,31491817,31491819,40177283,50201052,61684353,74467565,88080046,102066643,116124964,130034954,261846417,262744512,177996285,187244148,187244157,187244146,261540238,155910189,155910190,262071772,170605366,173548868,183345786,191910770,199279006,203868888,197314339,191719343,183112714,173265661,173265662,183112703,191719339,260381734,205379271,201966746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13614469, s2 = 3509491, dlinesl.size( ) = 2 s1 = 13614469, s2 = 3509491, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13614469, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3510105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8434711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14953625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14953625, s2 = 7670680, int(edited[s2]) = 0 s1 = 14953625, s2 = 7670680, d1 = 10, d2 = 10 Dl.O(d1) = 17457536,12307003,8312647,5363771,5363772,8312648,12307007,12228879,8256654,8256655,255164401,23679134,31167492,37479306,47387064,269789515,61353679,49871901,39849578,39849579,49871902,258245977,74223524,74223528,61443842,49965814,39949005,268994063,23788604,23788605,31274148,39948984,268935426,50527908,50527906,40492340,31797351,24283410,17902620,12682173,12682172,17902617,257103955,61724136,257084617,24035580,255189907,8472082,5476268,5476269,8472083,12506476,17684127,17684136,17684134,256031155,40225009,50245237,258898887,102103081,260734061,271866025 Dl.O(d2) = 17457536,12307003,8312647,5363771,5363772,8312648,12307007,12228879,8256654,8256655,255164401,23679134,31167492,37479306,47387064,269789515,61353679,49871901,39849578,39849579,49871902,258245977,74223524,74223528,61443842,49965814,39949005,268994063,23788604,23788605,31274148,39948984,268935426,50527908,50527906,40492340,31797351,24283410,17902620,12682173,12682172,17902617,257103955,61724136,257084617,24035580,255189907,8472082,5476268,5476269,8472083,12506476,17684127,17684136,17684134,256031155,40225009,50245237,258898887,102103081,260734061,271866025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14953625, s2 = 7670680, dlinesl.size( ) = 2 s1 = 14953625, s2 = 7670680, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14953625, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7670679, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10203040, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9714016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3247350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3247350, s2 = 1768504, int(edited[s2]) = 0 s1 = 3247350, s2 = 1768504, d1 = 11, d2 = 15 Dl.O(d1) = 102143479,116204822 Dl.O(d2) = 262634677,261629603,126091353,112236281,98258220,84350717,70791903,58074667,46702638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3247350, s2 = 1768504, dlinesl.size( ) = 2 s1 = 3247350, s2 = 1768504, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3247350, Dl.E( ) = 16, 2.41e-05 seconds used appending s1 = 3247840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3247840, s2 = 14158707, int(edited[s2]) = 0 s1 = 3247840, s2 = 14158707, d1 = 57, d2 = 61 Dl.O(d1) = 102153512,116214946 Dl.O(d2) = 113908464,99890105,256617568,59606892,59606891,58535026,47146717,44788290,44788291,55695507,44788284,44788285,55695509,55695505,55695504,68093021,81582890,95617161,109822350,123962792,137644719,150642712,144569402,131343842,117542558,103412880,89319604,75561762,62622877,51000203,40865449,32093809,32093810,40865452,51000207,62622880,75561765,89319609,98461972,84539520,84539519,84539506,84539505,259940522,89458618,75693356,62745955,62745954,75693354,89458616,98461977,84539530,70976192,70976191,84539523,70976186,58260479,58260478,70976185,84539521,70976193,58260482,46893519,46893520,258040631,70976211,84539544,98461959,98461958,84539539,70976207,70976208,84539515,70976180,257430793,257430791,58260488,46893523,37014223,28514857,21293801,15327489,10586444,6983676,267962295,15327491,21293806,28514863,268915961,58260503,70976214,84539546,258664982,85587924,99534689,258111050,84539533,72317969,255883308,255883306,46893526,257430795,58260486,46893537,37014230,28514861,28514860,37014228,257430797,259291761,112452576,258111052,85911434,72317973,72317972,84539538,70976201,58260494,46893533,46893534,58260496,70976206,256920916,59583338,255446688,22365167,22365166,29721374,268220376,59583325,72317981,85911447,85911449,85911448,99867065,85911444,72317980,72317979,85911441,99867058,113885920,127761281,141118597,153791827,165573428,165573431,176250732,185279609,176250735,175767258,175767257,176250730,175767256,175767248,165035383,165035384,165035380,165035379,175767243,175767261,165035404,153216838,140535010,140535011,153216827,140535002,127188870,127188871,140535004,153216830,153216821,140534999,127188869,127188868,140534998,153216819,165035382,175767246,175767255,165035395,153216832,140535005,127188877,127188875,113329996,113329997,271334126,127188879,271334128,153216834,153216822,259989826,261688099,272546879,113330001,113329995,258123224,85383102,99327287,113330000,259989830,127188895,260166374,140535017,127188885,113330003,99327289,257513492,59053008,59053009,71794307,85383105,99327295,113330011,127188897,140535006,127374490,127374491,260166378,140535024,127374520,113504437,113504436,127188893,127188894,115802182,101755503,101755502,113504438,99493202,99493203,85546369,85546370,99493208,259352896,99493211,85546372,71958576,59220238,47822063,37900190,37900189,47822061,59220234,71958572,85546374,91340446,85546344,71958545,59220217,59220218,71958547,71958536,59220211,47822048,47822049,59220213,63325633,63325634,71958542,257574464,85546384,99309814,93389620,79263181,65900846,65900845,59032705,47630538,47630537,59032703,71775175,85364850,85364853,85364851,91340484,85364844,71775168,59032697,47630532,37708249,37708250,257480631,71775171,64271182,52415742,42071950,268489589,18800898,18800899,256123327,42071960,52415755,64271204,64271216,67540433,67540432,71958534,62687938,51058068,51058067,42071928,33122763,25386654,25386655,33122765,29904768,29904769,256638739,33122796,42071966,51602031,51602030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3247840, s2 = 14158707, dlinesl.size( ) = 2 s1 = 3247840, s2 = 14158707, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3247840, Dl.E( ) = 62, 1.91e-05 seconds used appending s1 = 6844936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13829045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6566303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6566303, s2 = 8660931, int(edited[s2]) = 0 s1 = 6566303, s2 = 8660931, d1 = 41, d2 = 30 Dl.O(d1) = 256034294 Dl.O(d2) = 170750209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6566303, s2 = 8660931, dlinesl.size( ) = 48 s1 = 6611568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6613891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3681213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8367845, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15910851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8376981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3514442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3514473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2308605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7739575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7739575, s2 = 6745658, int(edited[s2]) = 0 s1 = 7739575, s2 = 6745658, d1 = 35, d2 = 59 Dl.O(d1) = 274134554,262835053,272960474,116409732 Dl.O(d2) = 95667140,81633680,68143546,55745668,55745669,68143549,81633683,95667148,109871202,124010512,126086861,112231624,98253404,95667139,95667138,95667147,81633682,81633683,95667148,109871202,124010512,137691863,260850386,259637854,95667132,259010536,260254458,150687284,137691859,124010508,109871199,109871200,109871201,109871202,124010512,137691863,260850386,259637854,95667132,259010536,260254458,150687284,137691859,259637856,95667135,259010542,95667148,109871202,124010512,126086861,112231624,98253404,84345911,258025449,258650237,70786956,258025449,36814415,268911403,58069534,70786956,258025449,36814415,268974974,2588497,1492188,1492186,2588493,4326747,6892523,10456498,11194205,16115099,16098179,11181275,11181276,11192598,7426490,7426487,10456496,15162378,21107930,16114861,16114859,17126024,15891288,11016485,7293216,4599450,4599449,7293213,255067069,21987732,29316069,37884963,47808358,59207603,71946477,85534266,99480718,91227875,77308198,64160143,64160142,77308192,77308193,257768666,99787544,85834754,76974011,270503239,72965402,72965401,86563981,76974024,63862461,63862460,76974020,90852559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7739575, s2 = 6745658, dlinesl.size( ) = 8 s1 = 3517347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3517347, s2 = 11249012, int(edited[s2]) = 0 s1 = 3517347, s2 = 11249012, d1 = 5, d2 = 19 Dl.O(d1) = 116443652 Dl.O(d2) = 16362196,16362195,22536340,29891060,38447769,48349997,59734234,72470055,86068770,100032178,114059105,127939220,140029038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3517347, s2 = 11249012, dlinesl.size( ) = 2 s1 = 3517347, s2 = 11249012, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3517347, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 7883351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6952142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6952142, s2 = 8726467, int(edited[s2]) = 0 s1 = 6952142, s2 = 8726467, d1 = 122, d2 = 111 Dl.O(d1) = 260546185,116453590 Dl.O(d2) = 265856122,228352571,265988286,229958417,266110692,229958421,265856124,224423220,265187756,265198485,224423222,226522920,228352571,229958420,266110694,229958421,228352572,265710854,224423218,222005778,265719103,265719101,229958417,229958419,265710852,224423218,222005778,264977258,211823621,264501024,200701669,263541858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6952142, s2 = 8726467, dlinesl.size( ) = 54 s1 = 6877514, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 418490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8261438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8261438, s2 = 3518140, int(edited[s2]) = 0 s1 = 8261438, s2 = 3518140, d1 = 62, d2 = 1 Dl.O(d1) = 254874406,5577941,3460761,3460759,5577934,8584164,12642570,17852149,24223671,30179276,38762566,48684261,60080521,61959960 Dl.O(d2) = 74760230,61960220,50464305,40426618,31732543,24224112,17852450,12642770,8584296,5578018,3460809,2052240,2052237,3460800,5578005,254874403,10673902,10604322,6996650,4397035,4397034,6996642,10604306,15350479,10641127,10598877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8261438, s2 = 3518140, dlinesl.size( ) = 14 s1 = 10344590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6826870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8148827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8148827, s2 = 8359763, int(edited[s2]) = 0 s1 = 8148827, s2 = 8359763, d1 = 6, d2 = 11 Dl.O(d1) = 40450693,50486980,258292397 Dl.O(d2) = 102407601,116502876,130339596,128795702,114898424,100847534,86866305,257057322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8148827, s2 = 8359763, dlinesl.size( ) = 2 s1 = 8148827, s2 = 8359763, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8148827, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 6826925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8357631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8357631, s2 = 8007284, int(edited[s2]) = 0 s1 = 8357631, s2 = 8007284, d1 = 13, d2 = 1 Dl.O(d1) = 75554111,62617283,62617282,75554110,269510994,89309473,89309475,83828674,83828675,72836835,257992859,46268591,36415916,27957803,20796205,20796204,27957801,36415913,36415896,27957789,20796198,20796197,268597509,46268588,57613089,50464215,50464214,61960121,74760191,88394059,102393740,88393255,74759336,63888787,63888789,257921258,100325352,100325353,100339964,100339963,103233095,90876836,76998811,63888796,63888798,76998815,90876841,270663550,86382515,86382514,100339967,100325356,86365468,72768412,257557899,48638530,60031445,63888793,63888792,76998808,90876829,86509376,72912947,60176061,48781558,38861335,38861336,48781560,60176062,72912948,86509378,100467193,114491705 Dl.O(d2) = 88423717,258028416,50503257,40467302,31772433,29335277,29335276,30416844,30416845,255384942,24246181,24246182,19697742,19697741,26436554,31891245,30416857,23011709,16771990,11725867,11725868,16771991,255954991,19697752,14123406,9716663,6392208,4011506,254212327,791134,1391203,2404154,4011500,6392198,9716651,14123389,19697722,24943720,22359607,20795088,14902546,10246461,6732345,4217958,2521833,1453261,822848,464727,261643,261642,464723,822841,1453241,254320627,6732065,10245959,267985254,10245839,6731990,6731989,9203302,13458102,13457493,9202919,6025189,6025188,9202384,13456666,10731210,7090377,4464414,4098554,4098556,5820986,3631321,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,3011887,3011886,4986464,4097746,2451392,1417267,806328,456954,456955,806332,1417278,2450973,2450972,4096940,254691801,14461591,14465280,15674652,15674651,255856507,256224021,255856421,20161979,14464181,10850925,7173861,4518858,4518860,7173865,7174001,7174179,10851647,10851675,7174103,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,4097168,6539576,9950255,14462717,11766412,7855719,4985933,4985934,7855721,255130423,23078559,30492168,37550060,29004264,21718371,15674413,10851152,10851151,15674411,11096004,11096002,15983343,20171474,14472514,9957720,9957721,14472517,16828605,11768114,11768113,16828603,20160047,19786660,14172754,9743355,9743353,14172749,19786651,23080572,16828241,255514783,30494237,23084294,23084293,22090099,15983359,11096014,7358884,7358885,11096016,15983362,22090102,29420694,37983564,40179466,31494357,23996928,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,26088115,19398746,13876032,9519083,9519081,13876022,19398722,26088089,26650909,26650910,29233900,33375399,26651143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8357631, s2 = 8007284, dlinesl.size( ) = 14 s1 = 10191975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10191975, s2 = 10199105, int(edited[s2]) = 0 s1 = 10191975, s2 = 10199105, d1 = 73, d2 = 76 Dl.O(d1) = 257686391,256554859,24276446,17896210,12676581,12676582,17896212,268450659,256554867,24276470,17896227,12676592,8608885,5594452,3470981,267849681,8608888,12676600,255594757,17896346,24276688,24276640,24276639,31790253,40485315,256595055,32392846,40484955,40484956,50520566,62012560,258918153,62012860,50520981,40485405,257686441,257823230,31789983,31789982,40484987,31790130,256554887,50520762,62012692,258295459,258918185,260754747,62012551,50520558,256554859,24276446,17896210,12676581,12676582,17896212,268450659,40484949,40484950,40485399,40485398,50520629,40485018,257103135,40484893,258295379,88441665,74809140,257864986,50520466,62012468,62012544,50520551,40484940,31789947,31789946,257103147,257823228,65830284,256156264,255689916,53769941,50520565,40484953,31789956,255594749,5594450,3470980,267849681,8608888,12676600,255594757,17896346,24276688,24276640,24276639,31790253,40485315,50520438,40484851,32807902,32807901,257103185,40485016,37278264,28745794,28745795,37278266,47184192,40484978,257103153,258295403,74809348,74809347,257823236,260352457,88441790,88441791,102443512,116540223,116540235,102443542 Dl.O(d2) = 65140932,58488199,47110212,44774517,42706049,42706050,53155924,65140350,65141024,257171630,42706443,33676345,25870373,25870372,33676342,33676671,42706648,42706647,38446061,29889646,25870164,25870163,33676101,29991208,22623194,22623197,29991215,26897089,25870665,19212431,255691475,13722772,9400259,6158762,3853665,3853664,6158759,254940293,19211643,13722586,13722585,19211641,15813820,15813821,21891198,29204357,33674955,33674952,42705257,53155395,51185356,51185357,59086018,47686582,47110175,37213329,37213328,42706604,35211689,35211690,44592434,47687693,37766122,37766121,37213287,29202298,21889556,15812707,15812706,21889553,29202291,37763789,47685883,37763679,29202194,29202193,29205127,29205129,25871667,25871666,33677671,29242045,29242046,37806290,38500050,48405523,53155591,47687552,37765937,29204338,29204337,37765934,37765959,37765958,47446822,53155388,42707551,33677576,33677579,32236424,29324391,29324392,30587691,30587692,27119484,20216362,20216363,27119490,35211696,37892490,37766115,37766116,47685964,37763772,29202279,21889547,21889546,21889688,21889685,29202416,37763689,29202202,21889495,15814366,15814367,21891913,29205137,37763717,38500099,29936932,29936931,37713813,37713815,47636224,44617242,35235302,27139885,27139884,35235295,37538718,28993376,28993375,37538714,42705331,53155434,64177899,64177898,59789991,59789992,71826515,71951381,59212578,47814143,44764394,38499925,38499926,42705336,33675060,25869180,25869179,21994981,21994976,15896505,15896504,21995022,29324503,37892567,39183648,30585855,30585853,39183641,42460510,255855526,64783515,77977685,91902099,86925614,78421700,65140071,65140072,71951444,59212663,47814233,37892480,29324459,29324460,37892484,47814240,59212672,52864502,42460649,42460650,52864510,60612480,73357312,78421892,85981935,72386930,59652463,48265557,47874185,37955830,37955834,42725592,42725591,53175146,64783466,64783465,77514708,64783282,53550466,43071587,34013768,34013767,34013751,26171948,26171949,34013754,31790135,31790136,31790156,40485206,50520789,62012711,73315978,65575263,53550415,43071550,43071549,53550406,65575254,255283502,34165055,26297218,26297216,34165054,34163911,34163910,43254136,254939162,34165055,28745696,21487537,21487538,28745699,37278162,41727680,41727681,268503326,26297207,26295773,19573499 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3257801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9024352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6974337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6974337, s2 = 15180620, int(edited[s2]) = 0 s1 = 6974337, s2 = 15180620, d1 = 40, d2 = 3 Dl.O(d1) = 260823278 Dl.O(d2) = 22886521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6974337, s2 = 15180620, dlinesl.size( ) = 2 s1 = 6974337, s2 = 15180620, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6974337, Dl.E( ) = 54, 2.29e-05 seconds used appending s1 = 8199156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8199156, s2 = 3712115, int(edited[s2]) = 0 s1 = 8199156, s2 = 3712115, d1 = 29, d2 = 6 Dl.O(d1) = 269803196,50551850,255068384,12695793,8625049,5607979,5607981,8625057,12695807,14442045,14442044,20136158,16877118,16877115,23137460,254475156,16877332,11807290,7886461,5008651,5008652,7886462,11807279,7886554,7886553,254318344,11806661,7886066,5008439,5008440,7886070,7886081,7886082,11806757,16876664,23136506,30554187,23137171,23137170,16989727,11904298,7961944,5064860,5064861,7961949,7885879,7885880,5008549,5008550,7886288,11807078,16877086,23137420,16877514,16877513,23137762,16989698,16877127,11807111,11806442,11806441,7885961,5008375,5008374,7885957,11806544,16876357,16877500,16877501,23136821,16876565,11806684,7886038,5008423,3028394,1762128,1003925,1003927,1762133,254558517,11806725,11806744,16876651,16877067,16877066,23137395,23137494,30554063,23136468,23136466,30554126,23136429,23136430,23137606,23136835,23136836,30554039,30554042,28632945,28632943,30668250,30554385,23136745,16876478,11806624,7886002,7886001,11806621,16876471,23136734,23136580,23136404,16876515,16876514,23136639,16876391,16876392,23136645,23136340,16876137,11806389,7885865,5008331,5008333,7885872,11806404,11806599,11806601,16876439,23136702,30554357,23136882,16876615,11806716,11806717,16876190,16876191,255694662,254942898,25842092,19188263,19188264,25842094,21425359,15433361,254942826,255694732,42674299,255287862,28672940,21425353,21425352,28672938,37195164,42767500,33737517,25930568,24993957,24993956,32670085,41563317,33737527,33737528,33645343,25842121,25842122,33645344,42674588,37880690,29311815,29311814,34309249,26431277,19693313,19693310,268528073,40161874,31477285,31477286,36883867,36883868,28923401,21648031,21648030,28923750,37463254,37463320,29314229,21986117,255067019,11015075,15889821,21986120,24337338,24337337,31859459,31859465,40561131,39011821,255955419,23016974,24337344,31859467,31859277,255878442,12717395,8640993,5619760,3491172,2073812,2073811,3491168,5619755,8640989,11122794,12717282,12717642,12717641,12717882,12717885,17947072,17947074,24337099,31859259,31859164,31859166,24337049,17947028,12717362,8640961,5619739,5619738,8640960,12717359,17947025,12717368,8640966,7471596,7471595,8641277,5619928,3491250,3491249,5619926,8641273,8640953,254423679,3491155,5619734,8640949,12717341,12717443,12717934,12717933,12254898,8276406,5340167,3282390,3282389,5340165,8276401,12254894,17390573,17867322,17867324,12717732,12717733,17947456,24337305,28596764,28596763,31163062,24337447,17947480,12717762,8641253,8641252,12717760,17947474,24337440,23714433,17390547,12254879,12254880,17390550,17947522,12717805,8641288,8641287,12717803,255599441,31859573,258924835 Dl.O(d2) = 128451086,261770693 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7044133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7044133, s2 = 8199157, int(edited[s2]) = 0 s1 = 7044133, s2 = 8199157, d1 = 17, d2 = 30 Dl.O(d1) = 261770692,116648431 Dl.O(d2) = 258924834,38928503,255599440,39827309,42815411,42815412,34651166,26659787,26659786,31144973,23657873,23657867,23657860,17340905,17340904,23657858,19305505,19305506,23575356,23575357,29350085,31058911,23575349,23575350,31058913,26659867,19845571,14217971,9774661,6426991,6426992,9774664,14217977,19845579,26659878,34651251,38175247,34651176,26659798,26659799,34651179,33782923,25972582,19305503,19305502,25972578,254423678,49755830,49755831,42815689,33783136,33783137,33782896,25972567,24337762,17947737,17947733,24337755,28359786,28359787,33783080,41105261,41105262,51285235,53268393,42815710,33783175,25972837,25972835,31859647,24337571,19305618,19305616,25972724,25972690,19305589,13803577,9465814,6206619,3884772,3884773,6206623,9465818,13803584,13803595,13803592,19305464,19305465,255878443,37893770,33738086,25931291,25931290,255955418,47815427,37893697,29325745,29325727,29325728,25972654,25972653,29431417,37891439,255067018,25298653,25298707,18724073,13329178,9107477,5959328,3726837,3726836,5959326,9107472,13329166,18724055,25298691,268528072,25931384,25298759,18724123,13329218,9107506,9107507,13329220,9442577,6190063,3873972,3873971,5959415,9107646,13329424,18724378,24579926,18137071,18137072,18724085,25298721,19268497,13772660,9442013,6189609,6189610,9442015,255287863,13772843,255694733,254942827,3873667,2319804,1344814,1344813,2319802,2319881,254942899,255694663,19267843,13772397,13772399,13773426,19269384,19268986,19267947,13772204,9441659,9441660,13772207,19267953,19269392,19269391,20251114,19268264,13772460,13772459,19268261,25929935,25930224,25930283,19268194,13772383,9441791,6189404,3873534,2319552,2319551,3873531,6189398,9441783,13772373,13772284,13772285,19268059,15442676,15442678,19268016,13772264,9441712,9441713,13772270,19268027,19268575,19268574,19268581,19268856,23136352,23136351,19268106,19268105,19268090,13772309,9441741,6189368,6189366,254558516,20250728,25930049,19267942,19267943,16210811,11268751,7480447,4727443,2848279,2848278,4727439,7480438,7480419,4727429,4727428,7480415,7886050,7886049,11806706,16210744,14531347,14531346,20250861,14531380,9998921,9998922,14531382,20250889,20251156,20251122,14531570,9999064,6571468,6571466,9999056,14531563,20251131,20251152,27165294,23137599,23137600,23137631,20250756,20250755,16877264,11807230,11807229,16877263,20250925,20250772,14531273,9998837,6571332,254318345,1423259,1423260,2462245,4116538,6571354,7886176,7886175,9999136,9999192,254475157,2462313,1423294,1423282,809669,458877,458878,809670,1423284,2252779,2252777,3760688,4610236,255068385,22011122,269803197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3523165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6631983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14644977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14644977, s2 = 3260224, int(edited[s2]) = 0 s1 = 14644977, s2 = 3260224, d1 = 0, d2 = 0 Dl.O(d1) = 259399201,114135967,128025601,116707967,102610157,88602949 Dl.O(d2) = 259399201,114135967,128025601,116707967,102610157,88602949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14644977, s2 = 3260224, dlinesl.size( ) = 2 s1 = 14644977, s2 = 3260224, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14644977, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3260400, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7047121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3525805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6828436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3262606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3262606, s2 = 8925503, int(edited[s2]) = 0 s1 = 3262606, s2 = 8925503, d1 = 0, d2 = 31 Dl.O(d1) = 103240754 Dl.O(d2) = 212980799,216844510,220047891,222754100,225080417,227101321,227101320,228864917,230418106,231798517,233039413,266037708,236112825,236959835,237731947,266365244,236959833,266365244,236112824,236112825,236959834,266457268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3262606, s2 = 8925503, dlinesl.size( ) = 2 s1 = 3262606, s2 = 8925503, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3262606, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 3525922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9210344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9210344, s2 = 9448947, int(edited[s2]) = 0 s1 = 9210344, s2 = 9448947, d1 = 9, d2 = 23 Dl.O(d1) = 260225358,141861775,141861774,154505887,166235843,176848573,176848586,166235858 Dl.O(d2) = 9622795,9622794,14004663,19555185,26275989,34142514,43230910,53743591,53743594,53743593,65800024,79156121,93275026,93275023,93275024,107683911,122067653,136005263,140643139,127297185,113438483,99436615,85495051,71910030,59172010,47773138,47773137,48414118,38508145,29944284,29944282,38508144,257164580,29282131,29282132,37849865,44566611,44566612,268551302,25486469,25486468,33235468,254981096,47773515,47773514,51994893,51120407,51120406,62751683,75698740,85495231,99436745,256227910,76140696,81221032,67754714,55414467,255335664,35188781,44567031,55414464,67754706,71947007,59208179,47808939,47808938,256753370,37805293,37805294,47727095,59125389,62610028,50987617,47727096,47727097,46312182,46312181,47808934,37885513,29316609,21988304,21988303,29316608,255995220,29316598,37885498,38162683,38162685,48075540,47808889,47808888,59208137,257045510,47808945,59208185,59208188,47808949,37885527,37885526,37885489,37885488,40621668,40621669,41690307,32773670,25076399,18533513,13168658,13168659,18533515,25076403,32773677,41690315,52002083,47809051,37885633,29316716,21988390,15891914,11017036,11017037,15891916,21988394,24375940,17977511,12740290,12740289,17977509,24375935,31907402,40621699,50679122,62197311 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054752, s2 = 14165147, int(edited[s2]) = 0 s1 = 15054752, s2 = 14165147, d1 = 9, d2 = 5 Dl.O(d1) = 62993516,58843845,47458211,268828914,41130834,47458212,58843847,71570856,85141261,99066072,85141259,85141258,99066070,113054117,116357145,116357144,116357143,102263076,102263075,88264848,74634660,61842573,61842574,51446699,51446698,41246943,41246942,32420246,24794114,24794113,32420244,41246940,257736355,76154817,89963437,104094855,118254735,261279369,115772191,115772190,101727101,87754554,74150357,61370043,49889388,39867183,31184776,268252713,12240713,8266246,5333503,3278453,3278454,254184123,618366,618365,1101770,1102010,1102012,1928799,3279171,3278183,1928189,1928188,3278177,5333134,5366176,5366178,5366168,5366166,7799757,5334422,5334423,8267521,12242113,17373960,22974418,21576788,16738182,16738181,12597479,12597480,12242424,11235922,7456972,4711855,4711854,7456969,5525830,5525831,5566397,8489852,12528356,16621529,255556345,12562213,12562212,12558338,8514427,5512903,5512902,3415804,2016390,2016391,3415808,5529928,8531780,8552467,5550164,5207075,5207076,5021114,5021115,3414340,254414593,8127666,5207072,5207071,5015617,3033698,3033699,3416437,2016883,1153832,647304,647305,368607,368610,646823,358919,358916,646812,646773,646720,254138013,2015423,3414533,5528630,8530568,12577256,17772312,24136159,31642846,40331662,50358629,41506451,32623534,32623535,41506453,50623807,50623806,268506528,33483157,42476806,256323582,28617890,28617891,37129490,47016960,58388162,71104898,84668209,74144841,74144842,87012198,87012202,73396666,269780880,60650317,49249821,49249822,60650320,73396741,73396669,73396668,77202550,64061419,64061420,77202555,257537204,84778384,84778383,98706326,105340814,101211392,87210428,76217512,76217513,90021808,104146693,109326606,115629406,101589058,87621883,74017696,61237062,49758137,257244604,47967822,47967823,39017385,36990259,28493087,28493085,256850419,30428266,23022839,16781869,11733885,7834092,4972846,3003569,3003570,4972848,255127959,23022869,19169044,19169045,256154849,33619631,42647237,53097828,60338080,73078230,78365589,65083634,65083635,78365585,72092706,65556996,53532143,48940618,47967886,47967885,59359038,72092716,77598816,77598817,91529715,105753057,105753053,258813736,67681324,55341652,44495468,42196524,33236205,25487123,18883845,18883846,25487126,25487129,33236214,42196535,52555510,64429983,77598836,67763665,67763666,64429967,64429952,64429951,64429975,269363506,91529731,81012619,257901499,44348354,44348353,55198923,67542861,81012618,95071744,109326594,104848664,104848663,104848642,259635832,74287909,61511217,61511216,74287908,87890572,101864101,87890583,74287922,61511228,61511229,74287918,257650711,50032983,61511220,50032981,40014317,31336027,31336026,40014315,50032980,50032990,40014323,40014324,50032991,61511230,61511237,74287901,61511211,61511210,74287900,87890550,258882147,61511214,61511213,74287903,87890568,91479144,77547887,77547886,73477241,73477242,87095278,87733634,257020770,106743362,92438308,78402001,65119538,257231691,42682610,53133885,63207219,76218243,78476511,78402000,78401999,65192170,53206586,42756999,33727398,25920718,255380726,9432665,9432664,10522303,6939420,6939421,8606388,8606387,12673030,17891453,24270722,31783521,28147694,21301983,21301982,257120459 Dl.O(d2) = 262163690,38389478,29816676,22448823,16279159,268551222,4751705,7516576,11320086,16279163,16282418,16360076,16360079,16282479,11323742,7520036,7520037,11323744,16282484,22451536,16282346,11323753,7520044,4754344,4754343,7520040,11323440,7519802,4754183,2865311,2865312,4754185,7516821,4752775,2864652,2864651,4753182,4754133,4754132,4596132,4596130,5178462,3159593,1849581,1055545,1055546,1662792,946079,946080,946194,1662746,1662290,1662289,2864007,4752118,7517212,11320901,10914940,254780305,4754044,4754043,7519641,11323302,16282053,19676559,14105864,9702723,268040637,19676551,26411721,34287025,43386072,53910273,65977124,79341495,268429810,86051258,86051257,93473857,93473856,95330706,81271765,67804375,55462943,55462944,67804377,78402445,65120079,53134577,53134579,53134572,53134573,65120072,65977151,53910295,43386082,34287032,34287031,43386080,257864089,59181141,47781936,37858132,29289313,29289314,37858124,29289308,29289307,37858120,37858126,47781931,59181132,65977117,53910267,53910266,65977113,65977120,65977121,79341493,93473813,107905980,114041806,100014514,100014513,107906015,107906014,109585872,109585871,95330710,81271766,81271767,93473836,93473833,93473834,79341525,79341526,93473843,93473848,79341532,79341531,85504752,71919413,59181178,47781962,37858154,29289324,21962791,255876199,15869204,10998790,10998789,15869202,21962782,29289311,37858130,47781932,59181134,65977108,65977107,59181168,59181167,71919400,259353125,113448475,113448478,113448477,127307384,115305921,115305922,109589992,95335140,95335138,93473839,79341523,65977143,53910286,53910288,65977145,79341529,93473845,107906009,99446343,85504758,85504759,85504750,71919409,59181176,47781960,37858152,37858151,29289331,21962793,15869211,10998793,10998792,15869207,21962790,29289322,256913963,55466706,67808443,59181170,59181169,270314141,258727993,71919393,85504733,259971343,259410782,67808419,67808420,81276080,67808418,55466685,44617635,35235600,35235599,44617630,44617631,55466680,67808414,67808416,81276073,95335135,99446337,85504743,71919408,59181181,47781964,37858155,29289326,29289327,37858157,47781969,59181161,47781950,44617649,44617650,55466708,67808444,71919432,257494191,37858160,37858158,47781972,59181193,71919431,81276085,67808423,55466687,44617637,35235604,27140080,20232523,20232521,27140077,256757157,257922499,81276075,81276094,67808433,67808435,81276096,95335131,109589988,123779914,137503811,150533789,137503819,123779930,109590006,109590007,109590014,95335157,81276110,67808446,55466712,44617653,35235616,27140090,27140091,256757161,55466698,55466714,67808406,67808405,81276062,95335125,260411433,272464949,150533771,137503778,123779876,109589937,95335066,81276007,81276006,95335064,109589933,123779870,123779882,109589951,109589950,95335103,81276043,269823784,44617621,44617622,55466663,55466693,44617640,44617639,55466690,67808426,81276090,95335145,109589999,123643724,109451272,95196709,95196708,109451270,123643722,109589941,95335071,81276014,67808368,55466646,44617606,35235579,27140066,268552337,44617599,55466638,67808362,81276005,95335063,109589935,123779873,137503776,123779892,109589960,95335101,81276042,67808386,67808384,81276039,95335098,81276047,67808391,67808392,258542921,95335142,109589995,114290055,109451276,95196712,81139869,81139870,95196716,85889473,72296702,72296701,78402085,67808363,55466641,44617602,44617598,44617597,55466634,67808357,78402078,92438368,258849516,115305845,115305846,271301028,119957077,119957078,109589939,95335069,81276011,259171813,95335096,109589957,109589965,123779896,125947119,123643720,109451267,95196706,81139865,67674026,55334685,55334686,59562266,48175646,48175645,59562264,72296703,85889476,99844233,106743431,92438379,78402087,65119642,53134029,53134028,65119639,78402083,78402088,78402089,92438380,106743428,115305844,101227613,101227612,115305842,125947115,119957084,119957085,133824764,123779885,123779886,120995993,106743434,106743432,92438383,257037606,53134030,42682803,42682804,53134033,57992007,46616151,46616150,57992014,70708765,78402075,78402076,72712867,59975868,48584161,38668068,38668067,38390391,38390390,268247178,65119631,53134023,53134024,52523416,42165017,33204836,25457613,25457614,33204839,42165019,52523421,256856886,65119627,65119625,78402065,73604882,63826006,52010245,41698604,32782240,32782238,267991856,19193150,13707722,9388798,9388797,13707718,19193147,25848070,33652479,42682807,44465864,35089492,27003806,27003804,22450197,16280925,11322059,7518339,7518295,4752920,2864477,1662545,1662547,1662699,946021,533502,299219,165791,165790,299216,533492,946002,1662661,2864680,4753225,7288547,7517582,7517895,4752622,2864302,2864303,4548188,2734052,2734050,4548180,4754169,7518402,4753231,4753230,7517822,4752570,4752571,7517823,4753296,4753295,2864928,2864927,4753622,7517260,7517258,7518725,4753245,2864695,2864696,4547925,2733897,1584155,900604,508030,508032,900611,1584166,2733912,4547955,4547921,4547895,2733881,1584248,1584249,2734067,254512285,4752838,2864425,1662521,945937,900574,508014,508013,900569,1584091,2733771,4547688,7217865,7518287,11322006,16280892,16916512,11839041,11839042,16916516,23181463,30600075,37695148,32201054,24612627,18163864,16277995,16277994,22447704,29815713,29818617,24612600,24612601,18163921,12881708,12881707,9755492,6414404,4024158,4024156,6414395,9755470,14191251,19812108,20135895,255313830,30805507,23377410,23377411,28087045,29816231,29816230,29816232,23036318,254772350,22450501,22450500,22037347,22037349,17618883,17618884,23968674,31464374,39033679,39033678,38982883,30395455,22991877,22991878,30395457,22991879,267806602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054752, s2 = 14165147, dlinesl.size( ) = 8 s1 = 6828597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6828597, s2 = 11557102, int(edited[s2]) = 0 s1 = 6828597, s2 = 11557102, d1 = 40, d2 = 64 Dl.O(d1) = 258941711 Dl.O(d2) = 265976227,265843103,226255319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6828597, s2 = 11557102, dlinesl.size( ) = 2 s1 = 6828597, s2 = 11557102, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6828597, Dl.E( ) = 72, 1.91e-05 seconds used appending s1 = 3526411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8421052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3528636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13359119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7650402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9536927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8371255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8371255, s2 = 8421471, int(edited[s2]) = 0 s1 = 8371255, s2 = 8421471, d1 = 9, d2 = 10 Dl.O(d1) = 75627293,89388362,103482007 Dl.O(d2) = 259683172,103482008,260790135,273353377,261861826 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3529637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3529637, s2 = 2340475, int(edited[s2]) = 0 s1 = 3529637, s2 = 2340475, d1 = 2, d2 = 6 Dl.O(d1) = 117619996 Dl.O(d2) = 48360574,48360575,257484696,63212767,63212766,76224312,90028962,260221535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3529637, s2 = 2340475, dlinesl.size( ) = 2 s1 = 3529637, s2 = 2340475, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3529637, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 3267234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8455017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3267671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3530430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3530430, s2 = 16396638, int(edited[s2]) = 0 s1 = 3530430, s2 = 16396638, d1 = 0, d2 = 3 Dl.O(d1) = 117657727 Dl.O(d2) = 103524508,103524509,103524529,117657749,117657748,117657766,103524541,271932469,103524510,103524511,117657733,117657764,103524538,89428127,89428128,103524540,117657734,117657735,131462753,131462747,117657730,259580267,89428109,89428122,260195773,131462782,261901041,131462753,131462747,117657730,259580267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14632073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14632073, s2 = 3530478, int(edited[s2]) = 0 s1 = 14632073, s2 = 3530478, d1 = 16, d2 = 22 Dl.O(d1) = 99752955,99752954,85798943 Dl.O(d2) = 117661465,118647983,104468293,90320512,76491264,63443762,257745999,41443618,32577090,24920293,24920292,32577089,41443617,32577092,24920294,18411814,13077572,13077571,18411812,24920296,32577094,32577092,24920294,18411814,13077572,8911300,5815172,3627427,3627428,254634915,12742043,12742046,12742049,12742048,13077562,8911294,5815167,3627423,3627424,5815169,8911297,13077567,17979458,12742037,8659193,8659192,12742036,13833530,13833531,19342833,26017891,31909567,24378018,24378017,31909565,32250132,24651436,18194004,12904610,8778323,8682155,8682154,12772987,9488323,9488324,13833303,19342508,19343854,19343853,26019134,33838574,42881922,42881923,42881924,257835503,65348522,65348523,259081151,107053986,260921845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14632073, s2 = 3530478, dlinesl.size( ) = 12 s1 = 6829691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6829691, s2 = 7312128, int(edited[s2]) = 0 s1 = 6829691, s2 = 7312128, d1 = 104, d2 = 106 Dl.O(d1) = 258955495,103558951,117694344,131500739 Dl.O(d2) = 265287028,215595388,211517075,264349036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6829691, s2 = 7312128, dlinesl.size( ) = 76 s1 = 6829808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3271269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10196050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10196050, s2 = 4691296, int(edited[s2]) = 0 s1 = 10196050, s2 = 4691296, d1 = 21, d2 = 12 Dl.O(d1) = 53203257,65188347,269539806,106823782,106823781,117974899 Dl.O(d2) = 204211760,197726725,190116014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10196050, s2 = 4691296, dlinesl.size( ) = 10 s1 = 9392075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3533795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8345471, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6830330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13624511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7015941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13413759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6986905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6986905, s2 = 8059379, int(edited[s2]) = 0 s1 = 6986905, s2 = 8059379, d1 = 7, d2 = 7 Dl.O(d1) = 261001712,271488462,258967434,257142734,35224165,27130445,20225146,20225148,27130451,29544441,29544445,36964697,28465650,22201220,16072127,11160608,7403028,4676916,2817598,2817594,4676909,7403009,11160570,16072069,22201148,23007766,29544423,270810058 Dl.O(d2) = 261001712,271488462,258967434,257142734,35224165,27130445,20225146,20225148,27130451,29544441,29544445,36964697,28465650,22201220,16072127,11160608,7403028,4676916,2817598,2817594,4676909,7403009,11160570,16072069,22201148,23007766,29544423,270810058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6986905, s2 = 8059379, dlinesl.size( ) = 2 s1 = 6986905, s2 = 8059379, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6986905, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8059378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3989361, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163526, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9037063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3535672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13664419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13664419, s2 = 10206389, int(edited[s2]) = 0 s1 = 13664419, s2 = 10206389, d1 = 44, d2 = 48 Dl.O(d1) = 145121083,131863645,272333967,262010490,131850358,118024387,260807413,131863647,131863661,131850406,131850405,131850386,118024403,103881654,89780164,76002758,76002757,89780162,89780168,103881662,118024414,131850391,260912990,118038458,131863649,145121090,145121094,145121087,131863646,118038457,103896192,89795106,76018392,63035555,51354787,51354788,63035558,76018398,89795116,103896203,118038477,131863644,261510948,118024440,103881724,103881725,118024504,131850512,145108701,145108702,145108783,131850427,118024436,103881680,89780178 Dl.O(d2) = 179289475,169004372,157542721,262417543,262539556,145108703,260944596,118024384,131850354,140168054,152861788,145108773,145108727,131850356,118024386,103881642,89780157,89780156,103881639,118024381,131850352,131850437,145108792,131850458,118024465,261376927,157542734,169004378,175454215,262279456,152861774,164697043,169004377,169004378,179289475,169004373,157542721,262417543,157542685,145108703,260944594,118024366,126818138,112964355,259427678,71478734,257571528,28917491,21642878,15610860,10800610,7136415,7136411,10800606,15610855,21642872,28917486,37456819,47362871,58749616,71478729,257535284,70996252,84559831,98482522,112473711,126340869,139716507,152442289,152899597,140209375,126862641,113010752,99022947,85098263,71526799,58797722,47410813,37503324,268926619,75682974,257705216 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3414893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3414893, s2 = 10354690, int(edited[s2]) = 0 s1 = 3414893, s2 = 10354690, d1 = 17, d2 = 21 Dl.O(d1) = 113041945,126894770,140242351,138733548,125410058,111611163,97692552,83834631,257330244,46274510,36421904,36421905,41179505,41179506,51365480,63046295,76028868,89805542,103906453,118048126,131872502,145129336,261917139,272885138,145129339,261917137,169022774,157561956,262418965,272885138,157561952 Dl.O(d2) = 169022770,179307466,179307467,188356352,196237753,202979762,208629501,203469384,196838152,189087832,180138044,263325314,158599488,153681063,146226690,132995338,119162674,104969707,90793651,76918952,259376642,84963004,98888499,112876300,261116957,140077143,152768004,164602684,175362620,184911171,273528114,175148904,262168004,139768426,126393066,112522759,271600298,84603690,84603688,84603689,97715807,98528221,84603686,84603687,98528222,92519985,78480219,65195850,53210096,42760351,33730440,25923469,268298116,13765965,13758456,9428137,6177911,3865825,2315779,1343206,1343211,1343993,1343994,1344224,1344225,1344235,1344237,2318581,2341501,2341396,2341399,3910583,6246667,9523719,13881548,19404665,26093958,19405306,19405305,26094592,33927828,42981378,53455727,65475679,78805775,92911874,107316429,121697473,135641288,148889609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3414893, s2 = 10354690, dlinesl.size( ) = 12 s1 = 8265565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8265565, s2 = 14185495, int(edited[s2]) = 0 s1 = 8265565, s2 = 14185495, d1 = 19, d2 = 10 Dl.O(d1) = 34696241,34696242,43971504,44494888,55341003,58689701,52247142,41910155,41910156,52247145,64094320,57836267,46480257,46480258,52253438,52271464,52036551,41721241,32801344,30072212,22692337,22692338,30072214,38648013,256972135,50494204,52253442,41915431,32975422,25252674,18681844,18681845,25252677,24252033,24252034,31763831,257684123,258635215,70517709,84052827,77775819,259042903,70517716,57816435,46460359,41932600,36546274,28078152,28078150,36546271,46407803,57758600,52036550,41721240,269489833,49452573,256492235,30910925,39520298,49452575,60854255,73603954,87226056,87957421,85466944,85466943,74177728,61397456,49917319,258249861,85466940,71882323,59144187,59144188,70453685,57758602,46407805,46407806,57758604,70453686,61397458,49917320,39897578,39897579,257640801,71882326,59144189,57816432,46460355,46460356,258385749,87226054,73603952,64120584,52271460,41932593,32991896,25267896,18696114,13303123,13303124,18696116,256627331,52271468,64120596,64111569,64111570,270506887,99407767,91186899,77267631,64120594,258385751,77267636,77267635,87056219,91176640,260554610,71882331,85466948,99407766,86933327,73323469,60579792,255970760,39254380,256471846,73323467,258204564,63069828,51381463,41191073,32372616,32372617,255970756,39254378,32372611,24754075,18279143,12973662,8831010,5754428,3583349,267776465,1232354,2135485,3583353,5754429,8831012,12973657,12973656,18279135,18279134,24754060,32372586,41191013,51381350,269942433,63069651,63069650,76064600,89858194,103975701,260214715,103975882,89858376,76064785,76064786,89858378,103975884,89858503,89858501,76064902,63069909,63069908,257732545 Dl.O(d2) = 456388,805376,254215151,1415620,254215149,4092466,6531395,6531380,4092453,2448421,2448420,4092450,6531376,4092479,254215147,1415616,2448431,254472319,4092487,4092488,254691017,6531407,6531406,9937337,14444925,20138703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8265565, s2 = 14185495, dlinesl.size( ) = 2 s1 = 8265565, s2 = 14185495, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8265565, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 3274636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3274636, s2 = 10345812, int(edited[s2]) = 0 s1 = 3274636, s2 = 10345812, d1 = 0, d2 = 22 Dl.O(d1) = 104010617 Dl.O(d2) = 273551370,38386220,48296556,39235855,30637804,23214716,16942719,16942718,23214712,30637798,39235849,49162615,270874952,100897120,114949907,128850516,272883717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3274636, s2 = 10345812, dlinesl.size( ) = 30 s1 = 9192350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9192350, s2 = 16312336, int(edited[s2]) = 0 s1 = 9192350, s2 = 16312336, d1 = 14, d2 = 12 Dl.O(d1) = 60498432,49094899,39164944,39164945,46675673,46832016,44609777,35228877,35228876,42726107,33696391,25890405,25890403,33696386,33696395,33696394,28453363,21226321,21226322,28453367,36953892,46832062,48186144,39358582,30757847,23335226,23335227,30757852,39358589,49285480,255206150,60173691,48779177,38858970,30274477,22877184,16648866,254715778,30164026,30274479,22877186,16648867,11616910,7736250,7736249,11616908,16648864,22877183,30274476,38858968,48779176,60173689,72910669,86507193,260043527,114489567,118166494,104011006 Dl.O(d2) = 270380720,63085801,270380722,41201918,32381886,24761893,255551364,8834491,5756793,3584883,3584882,5756790,8834485,255228439,24761883,32381874,41201904,51394327,51394324,51394325,53725968,43214052,34126438,254555224,254555222,26421425,34298053,43398377,53923656,65992626,79359688,73424410,60676529,49275528,39349067,30749155,23327526,17061523,17061522,255002378,8061234,8054382,5145285,3130461,3130462,1830165,1044556,587977,587976,1044554,1830159,3130661,5145583,5153745,8029119,11980861,11982836,8031801,7523637,7523627,4757222,2867258,2867257,4757220,5102109,3097006,1809582,1033552,582459,582456,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816851,3109170,4759156,2868614,2868615,4759159,5104561,267839055,1836941,1836942,1823721,1823724,3120348,4679127,4380240,4380238,6854991,8045319,5155249,5155250,8036616,5166053,5133770,3137603,1836326,1836327,3140155,3148718,3190661,3190663,5166661,3148917,3148918,3148280,3145037,3145036,5127940,3116694,1821419,1404924,1404926,1823341,3119742,5131804,8041414,8163442,6475388,4057858,2428804,1404983,799558,453186,453185,799554,1404971,1821425,2428816,4057879,6475423,9856904,6474744,6474745,6475243,4057757,4057759,6475249,9857602,7795426,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9192350, s2 = 16312336, dlinesl.size( ) = 2 s1 = 9192350, s2 = 16312336, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9192350, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 13166155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13166155, s2 = 13249878, int(edited[s2]) = 0 s1 = 13166155, s2 = 13249878, d1 = 18, d2 = 8 Dl.O(d1) = 189984736,181122246,171018542,159704776,147358047,134147762,120318929,106120774,91928343,78006647,269517001,268754517,256147969,13626628,254934435,6112063,3824308,2291229,2291228,254207157,759009,431558,243629,243126,134385,73044,39608,39611,73052,72997,72999,134263,242865,241399,241400,427694,752961,1319923,2276081,2298657,3836923,6073405,6084659,3821818,2289764,2289763,3799873,6073031,6101105,3817410,2286989,2286990,3817417,6083345,6083347,3813802,2420578,1401128,1401129,2420581,2280160,2280158,2277879,1325727,1325725,757049,430283,242890,134273,73002,73003,134281,134381,73043,73039,73403,39724,39721,73039,73245,39684,39687,73259,134759,243869,431893,759488,752949,752950,1319909,2276064,3799874,3819597,254303217,1327901,1327902,2288764,3814276,2284861,1325350,756406,429858,242651,134147,72943,72938,73375,39718,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39722,72766,39509,21765,21763,39496,72730,133645,241698,428210,428214,753780,428265,428266,753860,1321383,2278473,3803740,6078957,9280199,13555315,18995077,25607734,33372525,257212997,52761155,64676207,258255458,104049275,256012750,63108045,51411573,254848268,32392586,32392585,32392587,24770144,18291329,12982936,8837915,8837916,12982938,8838003,254896249,18291436,18291431,12983047,8838008,8838009,9197045,6021245,5759241,3586780,2138063,2138064,2256891,3766834,6021257,9197057,9197344,9197452,9197319,6021470,6021296,3766865,2256917,1309859,747729,424877,424878,747734,1309866,2256924,3766801,2256872,2256871,2257020,2257021,3767030,3766820,2256881,1309839,1309840,2256887,3766826,3767054,3767056,6021193,3766782,2256861,1309829,747717,424869,424870,747719,1309834,2256864,3766785,6021201,6021398,6021397,7910688,9197301,6021512,6021511,9197370,13449390,13449389,18873998,25474807,25475478,18874071,18874070,25475475,25475506,18874091,18874089,18874079,13449451,13449452,18874083,25475494,33223530,33223536,42183578,257791693,42183702,33223661,25475626,25475627,33223664,42183705,52542524,64416993,64416997,269613666,39194148,49121769,52542399,42183560,257201341,52542359,64416845,52542368,52542367,255314140,38953006,38953007,42183564,42183563,42183568,33223539,33223540,33223543,256645835,37191474,37191478,47087206,58465427,60522825,49121776,39194152,39194153,49121779,55850780,60580921,49181263,39255614,39255613,40786630,32029807,24467572,18047743,12794014,8698223 Dl.O(d2) = 79121666,65765932,53709206,43197596,34111454,34111453,43197593,53709200,65765922,53709197,43197591,43197592,53709199,256766222,84563073,70999144,70999145,84563074,258989614,92457779,78422066,257824935,53156625,50577077,256802412,24323005,24323006,30461972,30461973,31842377,24322759,17935315,12708351,8634398,5615117,3488021,3488020,5615115,8634395,12708344,11459075,9322377,9322376,13614487,19070245,16445969,16445971,22001298,15901445,15901444,22001293,21189341,15226540,10503086,10503085,15226538,20783947,14896264,10242753,10242752,14896259,18844205,23054148,16807937,16807939,22633973,16446379,11458919,7621847,4822331,4822330,7621844,11458908,16446356,22633941,28404935,21183914,17936710,16446032,11458709,11458710,16446034,22633536,30003295,30462124,23054118,23054119,30462126,37641207,37641206,39051635,39051636,42707671,33677748,33677749,42707067,53156689,58049694,48487646,38574581,36788794,28292168,28292167,36788791,37689068,32236361,32236362,41028827,48351387,38449177,38449176,48351385,53156122,42706290,36958349,28458170,21232456,15262938,15262937,15414256,21400806,255691521,13723172,9400468,9400467,13723170,19212573,25870885,25870914,19212595,13723183,9400578,6158913,6158912,9400575,13722799,9400273,6158767,6158764,9400072,13722417,13722381,13722384,19211358,25869141,33675020,42705308,255832144,25869882,25869881,29329686,29329687,25871521,19213102,19213101,13723703,9400740,9400741,13723707,19212264,13723549,13723550,10676773,7052209,7052208,10676770,15443192,13723692,13723693,19211710,13722619,13722618,19211707,25869648,25870050,22623200,16437970,16437971,22623202,29991217,25869513,19211610,19211611,25869514,33675411,42705621,52326602,64177987,52326588,41985928,33041999,25314138,25314137,33041997,41985924,41985884,33676055,33676054,42706160,38500064,29936908,22574376,16391788,16391789,22574380,29936893,29936894,38500039,268079302,37892606,37892605,47814404,59212493,47814069,37892373,37892374,37892434,37892433,47814165,59212593,255135586,59789941,254814110,37892600,255966058,59212844,71951544,85539528,77977724,64783599,64550971,52651321,42265368,33285456,25525251,18915935,18915936,25525253,33285459,42265371,256363792,65575317,53550482,53550483,53156085,42706245,33676157,33676156,42706243,269528625,85843805,85843804,86968802,91902082,77977629,64783416,64783418,63862744,52043329,41728495,41728496,42812314,53265340,62500001,62499980,50899658,50899657,42812237,41728461,41728462,52043311,63862316,52042809,41727808,32807479,25105325,24322087,18556419,13185460,13185462,18556347,18556229,13185332,8988055,8988053,8987811,7073858,7073859,10707507,15484343,21489847,25106080,25106079,255964394,32807935,25105774,25105773,32807933,29258571,21937780,21937779,18556450,13185476,8988155,8988156,13185478,15483047,15483048,21487673,255169053,12283456,17427540,21419795,21487764,21487763,18049556,13185008,8987855,5867960,5867961,5662418,5662417,7073608,10706952,15483274,21487459,21487512,21487511,28745666,37278120,41727939,32807660,25105519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13166155, s2 = 13249878, dlinesl.size( ) = 2 s1 = 13166155, s2 = 13249878, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13166155, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 8477816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3537489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3537489, s2 = 14299485, int(edited[s2]) = 0 s1 = 3537489, s2 = 14299485, d1 = 19, d2 = 36 Dl.O(d1) = 118228085 Dl.O(d2) = 208275503,208275522,202549237,195734046,264005035,202549245,208275528,208275522,208275521,208275505,202549208,202549209,208275506,208275514,208275520,202549231,195734043,187771328,178637453,178637451,187771326,264005031,208275504,202549207,202549205,202549206,202549221,263661005,187771324,195734035,187771323,178637450,168301304,168301303,178637449,187771320,195734028,202549213,202549211,202549210,208275507,208275516,211024768,208275512,208275513,208275520,202549231,195734043,187771328,178637453,262392631,156832478,262858665,187771329,195734044,202549223,195734038,195734035,187771323,178637450,168301304,156832476,156832477,168301306,156832479,144421944,131191251,117388012,103258779,103258780,117388013,271924235,89168877,269915855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3537489, s2 = 14299485, dlinesl.size( ) = 2 s1 = 3537489, s2 = 14299485, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3537489, Dl.E( ) = 38, 3.1e-05 seconds used appending s1 = 3276121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164890, s2 = 7147878, int(edited[s2]) = 0 s1 = 14164890, s2 = 7147878, d1 = 65, d2 = 60 Dl.O(d1) = 256871359,28734139,28734141,256871361,258061967,61240098,49761063,49761062,58561502,258061953,47172411,37266325,37266326,47172413,41419665,32560326,24909197,24909198,257157257,258358717,63404673,269054379,24909164,268724837,32714323,41419331,41419330,39388068,39388070,41419538,257744869,270310856,24909121,24909115,18404441,18404442,24909117,32560230,41419526,32560199,24909093,18404428,13072599,13072598,255632547,32560192,41419519,48980495,44404372,35029064,35029063,44404371,48980478,39057828,39057827,32714305,25028529,25028530,32714307,39057812,30467435,255866512,48405162,59789732,59789731,48405155,38499688,38499689,38499598,38499596,41619621,32714336,25028552,25028551,32714335,41619619,35029074,35029071,37726616,29166614,21857506,21857505,29166613,22574103,254752112,38499652,255058786,29936560,38499679,33027693,25301587,18726939,13331449,13331448,18726935,16391550,11408289,7580773,7580774,11099356,11099355,15988605,16391537,22574019,22097274,22097273,22574032,22574030,29936453,38499575,47906408,37990291,37990292,29936426,29936425,38499552,37831977,37831978,47754512,44568942,44568941,47754520,37831984,37831985,47754522,59153142,65069735,64245753,52389916,42045874,33097735,33097736,256395384,21174485,21174484,28394259,36891445,257016720,64144851,77293894,77311182,64163110,64162908,52311314,52311315,269515228,33966385,33966384,41970953,52311414,64162998,64163007,64163008,64431016,52556388,46769696,46769697,52881229,42477296,256630757,33027823,256115825,25301565,25301607,25301466,25301465,25301421,18726811,18726810,25301411,18726800,18726801,25301413,33027502,41970641,256084668,25301476,254897024,32521397,32521398,27182672,24150641,17783491,12586133,8538493,5536545,5536547,8538503,12586156,12827712,12827713,10789971,7128774,7128772,10789967,15597434,21628435,27085280,20186936,19464250,13929665,13929666,19464252,26164750,26165096,24550608,24550609,32131384,40004964,40004963,35344116,35344117,40541607,31843527,24323889,17936223,12708939,12708940,17936226,256051819,256283820,35344110,27220516,20291971,14561175,14561174,20291969,27220511,35344101,37494204,28951761,27131581,27131584,35225484,44606303,55454896,64162941,52311357,256596578,77311089,77311098,64162965,58779099,47392044,47392045,268279986,28423233,21200206,15235315,15235314,256305607,46799359,58166729,51096112,40953008,32173477,32173479,257131579,62727968,257691220,40541638,40541639,50577759,62069969,74868252,259548417,269575231,43311007,34212783,26339065,19610564,19610565,26339067,34212786,40541790,31843688,24324016,255206939,8634735,5615281,5615280,8634733,12708991,17936310,17936260,17936259,24323952,31843625,256051817,17936202,17936201,24323793,24323792,31843398,40541471,31843557,31843556,31843637,24323963,24323962,24323790,17936164,17936163,24323787,24323797,24323909,17936237,12708946,12708945,17936183,24323826,257107983,40541376,40541377,50577501,42378967,40541587,31843509,31843510,40541590,50577696,62069886,50577686,50577685,48115447,48115448,59503270,258751649,62069729,50577499,50577498,48115480,38204658,38204656,31843420,24323811,24323813,31843422,24323817,24323818,31843429,34216642,34216641,43314388,53838517,50577850,40541740,33390709,25625493,25625494,29638177,22286403,16142635,11214471,11214470,16142633,22286399,29638171,29638385,29638384,38205020,48115811,59503525,48115795,48115796,59503527,51999429,255818342,32771527,38204880,29638240,29638239,38204877,38204907,29638266,22286466,22286467,29638268,38204912,38204929,29638287,29638288,29638089,29638088,29638377,29638378,38205014,48115805,39865120,31182720,23692842,17370158,17370159,23692844,23692833,22286376,255900279,38204752,48115568,38204992,29638345,29518595,22176357,16051109,16051110,22176360,29518599,38083195,29638085,22286335,22286334,256396741,25951636,19287259,13788293,9453964,6198271,6198270,9453962,13788290,19287254,25951625,29638376,38205012,39865127,49887299,257550254,62052059,50559623,50559622,40523197,31826142,31826141,40523196,50559626,53333277,53211290,268231316,33731614,33731639,33731638,42062453,42790684,33759733,33759735,42790686,43353102,38204707,38204709,43353135,38317579,29748583,22388675,22388677,256405719,42767209,42767208,34683981,26689767,19870510,19870509,26689764,33151324,25410717,25410718,33151325,25959859,25959858,32458809,256599333,258979821 Dl.O(d2) = 263215455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164890, s2 = 7147878, dlinesl.size( ) = 60 s1 = 1988265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6787128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3777280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13322673, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13452705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8210195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8210195, s2 = 8592759, int(edited[s2]) = 0 s1 = 8210195, s2 = 8592759, d1 = 0, d2 = 3 Dl.O(d1) = 32048011,40808178,50927873,62531730,61518344,61518345,61518816,61518817,51608107,51608106,256062208,104342200 Dl.O(d2) = 118525593,269917016,158012588,260186064,132365117,132365118,145610981,158012587,169427721,169427716,158012584,158012585,260186066,188670431,196477313,203161421,203161422,261892410,188670429,179661858,273612247,169427719,273427279,196477312,188670429,179661858,273612247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8210195, s2 = 8592759, dlinesl.size( ) = 2 s1 = 8210195, s2 = 8592759, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8210195, Dl.E( ) = 6, 6.91e-06 seconds used appending s1 = 6929566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4366902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8339449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3279431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3279982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3279982, s2 = 14982157, int(edited[s2]) = 0 s1 = 3279982, s2 = 14982157, d1 = 14, d2 = 94 Dl.O(d1) = 104616413 Dl.O(d2) = 180694209,173061038,161907333,149607827,136340057,122355152,121708951,120970760,120970759,260186644,121708953,120970762,120970761,122355155,107928332,107928331,121708950,135652415,122355149,122355148,136340055,260787502,107928314,107928315,122355138,122355140,122355141,136340047,122355144,122355143,136340051,149607822,161907327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3279982, s2 = 14982157, dlinesl.size( ) = 16 s1 = 4368197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3541938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3541938, s2 = 9806478, int(edited[s2]) = 0 s1 = 3541938, s2 = 9806478, d1 = 28, d2 = 61 Dl.O(d1) = 118816030 Dl.O(d2) = 20170599,26088484,21718611,21718612,29004495,35148447,35148446,44515117,35138034,27052147,20158930,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,27070225,35156064,44532243,53450177,59296164,59296165,58321021,256533850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3541938, s2 = 9806478, dlinesl.size( ) = 28 s1 = 14164166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14163920, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10205429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8373986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8373986, s2 = 14249615, int(edited[s2]) = 0 s1 = 8373986, s2 = 14249615, d1 = 16, d2 = 20 Dl.O(d1) = 258991469,104704223,104704206,104704205,261399777 Dl.O(d2) = 262899749,262567448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8373986, s2 = 14249615, dlinesl.size( ) = 2 s1 = 8373986, s2 = 14249615, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8373986, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 10229899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10229899, s2 = 5386015, int(edited[s2]) = 0 s1 = 10229899, s2 = 5386015, d1 = 32, d2 = 46 Dl.O(d1) = 114982595 Dl.O(d2) = 222731746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10229899, s2 = 5386015, dlinesl.size( ) = 46 s1 = 7097466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7097466, s2 = 8467702, int(edited[s2]) = 0 s1 = 7097466, s2 = 8467702, d1 = 15, d2 = 31 Dl.O(d1) = 262539405,182558136,263773057,264855907,263998714,263271404,272916724,261332560,118933466 Dl.O(d2) = 261332558,169747145,179932535,179932537,263271402,272916722,158373891,145997087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14165495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3282702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3282702, s2 = 14105367, int(edited[s2]) = 0 s1 = 3282702, s2 = 14105367, d1 = 14, d2 = 28 Dl.O(d1) = 104852368 Dl.O(d2) = 258540733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3282702, s2 = 14105367, dlinesl.size( ) = 30 s1 = 3282773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9186869, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3545661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3545661, s2 = 7662222, int(edited[s2]) = 0 s1 = 3545661, s2 = 7662222, d1 = 10, d2 = 20 Dl.O(d1) = 119178159 Dl.O(d2) = 271522117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3545661, s2 = 7662222, dlinesl.size( ) = 18 s1 = 13479481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13479481, s2 = 10199783, int(edited[s2]) = 0 s1 = 13479481, s2 = 10199783, d1 = 11, d2 = 11 Dl.O(d1) = 104983942,90806078,76929861,76929860,258769758,104983941,260013142,104983950,258145982,63821936,52005820,52005821,63821938,76929867,76929864,63821936,63821937,76929865,90806079,76929862,63821934,52005818,52005817,63821931,258145976,104983940,119178969,119178977,104983951,104983943,90806078,76929861,63821932,63821931,258145976,104983940,119178970,119178967,104983936,90806074,76929859,258145976,104983940,119178970,119178967,104983936,104983935,119178964,104983947,90806083,76929864,63821936,63821937,258145984,258145978,258145980,76929863,63821934,52005818,41693563,255476800 Dl.O(d2) = 104983942,90806078,76929861,76929860,258769758,104983941,260013142,104983950,258145982,63821936,52005820,52005821,63821938,76929867,76929864,63821936,63821937,76929865,90806079,76929862,63821934,52005818,52005817,63821931,258145976,104983940,119178969,119178977,104983951,104983943,90806078,76929861,63821932,63821931,258145976,104983940,119178970,119178967,104983936,90806074,76929859,258145976,104983940,119178970,119178967,104983936,104983935,119178964,104983947,90806083,76929864,63821936,63821937,258145984,258145978,258145980,76929863,63821934,52005818,41693563,255476800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13479481, s2 = 10199783, dlinesl.size( ) = 2 s1 = 13479481, s2 = 10199783, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13479481, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 7017089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7017089, s2 = 8117941, int(edited[s2]) = 0 s1 = 7017089, s2 = 8117941, d1 = 28, d2 = 38 Dl.O(d1) = 261410741 Dl.O(d2) = 146692919,133443802,119576988,105343186,91122243,77205366,64064380,52223058,41891677,32956278,25236306,25236305,25236307,18667248,254909255,254640869,4242920,2536825,2536826,3710787,3710786,5934664,4280578,2559320,2559321,254483795,6793030,6793033,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706488,2219807,2219809,3706525,5927768,4254518,2543406,2543404,4254507,3817732,2287191,2287192,3817734,5981560,3740335,3740337,4460099,7084133,10297007,6769845,5952990,4234498,2531783,2531784,3176685,5206832,4286559,2562743,1475779,1462538,1462537,2538197,2758367,1599067,1599069,2758373,4584805,7270190,4585757,2758903,1599369,1599365,2758843,4585642,7271475,10985231,12516708,8479578,5481136,3372810,3372811,5481138,8479586,12516721,9778581,9778580,12776548,18026269,24442266,32001182,40756240,49733698,39714900,37164846,37164849,29194610,29194613,29194601,21882666,21882667,23204070,23204069,30626594,24342044,17951359,13133793,8951041,8951040,8643539,5621585,3492462,2074712,2074713,3492470,5621597,8643565,12720887,13133840,13133838,18487069,22345540,20079835,14397035,9902868,6508909,6508910,9902873,14397048,12991793,8844496,8844495,12991789,18302823,24342156,17951434,12720818,12720817,17951431,24342147,31864560,32699910,32699907,31248343,24250829,24250830,30065143,30065142,26264011,24250838,17873467,17873468,24250842,21375340,15394065,15394066,13369423,13369422,18773392,25355419,30638322,30638321,37125556,28958256,23097434,16841740,16841741,23097440,30336516,23215176,21028660,17436104,13133737,8951014,8951015,13133739,18486922,15103833,10417449,10417448,15103830,21028375,28224070,36717182,46605270,57982216,70699915,84251625,98145210,85585992,71999238,59263067,47867504,37949425,29384787,22054717,15951025,11069612,255072017,22054716,29384785,37949424,47867503,59263066,71999236,85585990,99532801,113544179,127414832,140770928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017089, s2 = 8117941, dlinesl.size( ) = 2 s1 = 7017089, s2 = 8117941, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7017089, Dl.E( ) = 42, 1.5e-05 seconds used appending s1 = 9737492, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3546368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1475766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1475766, s2 = 8625032, int(edited[s2]) = 1 s1 = 8469946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7050691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7050691, s2 = 10337620, int(edited[s2]) = 0 s1 = 7050691, s2 = 10337620, d1 = 45, d2 = 82 Dl.O(d1) = 261849149 Dl.O(d2) = 263727759,204059115,209496346,213957327,217618998,265298605,265298677,220675610,223274237,220674738,220674739,223274239,220675252,220675254,223274710,265480209,223274409,265644714,213957362,217619052,220674697,220674844,217619180,213957457,213957406,209496405,264064341,189888065,189888064,197542117,204059144,209496395,213957360,209496364,204059125,197542104,189888056,181011119,181011117,189888053,264064339,264635689,217619033,220674671,265480189,227477389,227477689,227477420,265480195,220674734,217619085,217619086,217619016,213957338,209496350,209496349,213957337,217619012,217619049,217619050,217619778,213957950,264365129,204059427,209496837,213957954,217619782,220675484,223274938,225522449,225522049,274311951,217619228,217619227,220674900,220675138,220675137,223274605,225522214,225522467,223274958,220675516,265298673,225522463,265644709,223274827,220675354,220675353,223274825,225522265,223274681,220675206,217619499,213957726,213957727,213957930,209496840,204059429,204059430,209496843,204059466,204059464,209496866,264879281,213958005,217619827,220675524,223274122,220674616,217618980,274235423,274235451,217619058,265099113,217619141,213957426,213957427,265099125,223274299,225521978,227477460,229187551,274578373,229187640,229187639,229187670,229187634,227477607,265480217,274235449,217619434,220675121,223274595,225522207,227477606,229187644,230698668,265932875,265644685,223274314,220674984,217619303,217619302,220674982,223274469,225522126,265480225,223274888,225522419,265795071,265795075,226175311,265496364,218704027,215295488,215295487,217619807,213957975,209496853,204059440,197542320,197542319,204059438,209496851,274147127,220675507,265480231,274491231,225522285,225522284,227477653,229187530,227477410,225521902,223274199,223274200,223274972,220675542,220675539,223274971,225522478,265795073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7050691, s2 = 10337620, dlinesl.size( ) = 40 s1 = 9675857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3000233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6697709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6697709, s2 = 13329698, int(edited[s2]) = 0 s1 = 6697709, s2 = 13329698, d1 = 28, d2 = 33 Dl.O(d1) = 257477162,77018181,90898025,105078002 Dl.O(d2) = 9897376,14391340,19022412,25639139,30723705,23306092,23306091,30723718,25409390,25409387,28862883,26959230,20075544,14393063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6697709, s2 = 13329698, dlinesl.size( ) = 26 s1 = 6814615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6814615, s2 = 15955839, int(edited[s2]) = 0 s1 = 6814615, s2 = 15955839, d1 = 6, d2 = 5 Dl.O(d1) = 258793789,257607927,39386766,256979587,38746962,48668734,60065046,72802926,86398548,78263879,78263880,92290872,78263858,64990334,53015262,42575007,42575009,41813158,32890167,32890166,41813156,256099478,77064450,90947542,258370490,119327648,105131407,90947551,77064343,63949995,52128995,41813112,41813113,52128998,52129015,52129016,63950019,77064372,90947586,105131431,93492663,79356316,65989311,65989310,79356313,93492770,107930500,117656638,269146432,89426971,103523387,93428382,79300192,65937090,53869856,43344986,43344987,53869858,65937095,71946230,72855666,80306259,66876539,66876540,64990388,53015317,42575047,42575046,53015315,43876080,34605534,34605535,43876081,54618532,43876152,43876151,54618621,66876551,68127624,68127625,60342542,60342543,73082340,66876669,66876668,80306315,94363075,99480511,85534043,85534042,92420288,78382896,65099070,59207283,47807979,47807978,44821620,35395564,35395565,35395539,27268676,20332934,14592262,10040935,10040936,14592265,255762749,255442294,29315599,37884479,47807908,37884543,37884544,47807974,37884538,37884536,29333970,29333971,29315617,21987355,15890950,15890951,21987357,29315620,37884402,37884403,33109847,25374505,25374503,29333956,37902473,47824144,59207169,47807819,37884355,37884356,47807821,47807986,37902458,29333946,29315646,21987370,15890962,11016200,7292931,4599153,2766939,2766938,4599149,7292924,11016189,15890938,254518766,11016172,15890907,255067782,22003087,15902768,15902769,22003088,29333999,37902522,29334006,29334005,37902526,37902559,37902558,44821556,38920140,38920139,44821559,55729564,47824141,47824142,59207185,47807847,37884396,29315520,29315519,29573216,37902466,29333950,22003045,15902748,15902749,22003048,29333954,37902468,37884480,37884437,29315559,21987315,21987316,29315562,35394840,27268110,27268111,35394842,37884378,29315511,29315510,29315555,21987308,15890924,11016182,11016183,15890926,21987312,15902744,15902743,22003034,29333932,37902440,47824123,47807809,37884343,29315480,29315481,37884345,47807812,59207165,47807966,37884529,29315631,29315632,37884531,47807968,268937016,59222243,67701841,59222205,54605362,54605361,66863455,66863461,55729034,44821006,44820995,44820994,44821430,268556719,20332768,14592145,10040878,6598637,4134001,4134002,6598640,10040887,14592162,14592133,10040873,10040874,10040910,10040909,14592124,10040868,10040869,14592126,20332736,27268384,29333531,22002685,22002686,29333534,35395419,35395417,44821500,55729487,44821454,35395337,27268541,27268542,27268521,20332847,20332846,27268518,27268532,27268741,20333711,20333710,27268932,20333177,20333176,20333150,14592408,10041033,6598742,4134070,4134069,6598737,10041024,14592392,14592817,14592466,10041061,10041062,14592468,20332518,20332515,20333713,20333189,20333190,268556729,27269516,20333756,20333755,255950717,16698284,16698283,22933052,30333821,38920150,48840590 Dl.O(d2) = 52456930,42104751,33150846,25410255,268491357,42104749,52456928,47613739,47613738,59017994,71762019,85352278,99297166,102083094,102083095,114744604,100695429,86719752,258653038,100695432,100695427,270518968,73114027,86719751,86719761,86719762,86719766,86719767,86719757,73114031,73114030,73114048,73114049,73114040,73114039,86719765,259279744,258407766,48977379,39055166,39055165,48977377,256869840,61495256,60374041,60374036,48977374,48977375,48978777,39056493,30466306,23057616,23057615,30466304,39056488,39056490,39056491,48978773,60375399,60375395,60375396,73115287,81296685,95352699,100696407,102352071,88356077,256989042,61934461,74727935,88356079,94366507,80310312,80310311,88356082,74727936,74727937,88356084,102352076,258847142,88187318,74571847,61787287,50306739,50306738,61787284,74571843,88187312,102178399,102178408,88187333,74571867,74571868,88093784,74481469,61698370,50216210,50216211,61698371,74481470,88093787,99002163,85076821,85076822,94366480,257616672,122919085,259471654,115282314,105105660,105105659,113894046,259169218,85920267,99875554,105105656,105105657,258922514,113894048,107871297,259471658,79312794,258224380,54623574,54623573,66881108,80310288,90924738,77043886,63931247,52111683,268451516,257107024,105105655,259547662,122919087,260162162,108654219,107871309,107871306,94366481,93443628,79312863,65948702,53881665,43357188,34257285,34257286,43357190,53881669,65948670,53881641,53881640,65948668,79312815,65948671,65948672,77400811,77400812,77400824,86566744,86566745,91319438,77400815,77400816,79312857,77400809,77400810,79312823,72968361,60230991,48836381,38915561,30328835,256450563,30328829,22927911,22927912,30328831,38915553,30328834,22927914,16693606,16693608,22927918,30328839,38915568,48836387,257266380,259108106,72968303,72968304,60230940,256446588,256446586,72968301,86566707,86566711,258803476,48836323,48836322,60230928,72968306,258180000,60169349,72906221,86502770,100461012,107387968,92977135,92977136,86556704,86556703,100518558,102052261,88066696,74454513,61671273,50187348,40163178,257079669,61671275,64238753,76850837,76850838,90723112,104894286,259434396,260651706,180013606,188970777,196731448,203374117,208941136,213514495,217260466,220379667,223027857,225312314,227297892,229032420,230561782,231923122,233149210,234257974,235266266,266241716,266359992,266149936,266030850,231661222,230267825,228700106,226919245,224875638,222521500,219780569,216533248,263985870,202008980,195094137,187011716,177733046,167236510,155605623,143056198,129725493,258903548,87807578,74204327,61425743,49948135,39930853,31255846,31255849,31261490,31261489,39936174,31260988,23775805,23775804,23775807,17446090,12297758,12297759,17442600,23771023,31255512,24913871,24913872,32566206,41426400,41426398,41426399,51668492,63411774,76455533,90285382,104436302,118620654,132461156,145707730,158108519,169515378,179735048,179803217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6814615, s2 = 15955839, dlinesl.size( ) = 2 s1 = 6814615, s2 = 15955839, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6814615, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8320088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3289857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6877245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9107754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3551625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13817625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13817625, s2 = 3291636, int(edited[s2]) = 0 s1 = 13817625, s2 = 3291636, d1 = 0, d2 = 0 Dl.O(d1) = 211763296,215803535,219145019,221966250,274408469,225407174,223143825,220524838,217446847,213757498,274259502,264045615,263707417,180616615,170478863,159136690,146763140,133507440,119635771,105399804,91177930,77259474,64112790,52263978,41925526,32985182,256111807,18690183,13296980,10390371,6848043,6848022,4297002,4297001,6848021,10390348,15066588,14930558,14930557 Dl.O(d2) = 211763296,215803535,219145019,221966250,274408469,225407174,223143825,220524838,217446847,213757498,274259502,264045615,263707417,180616615,170478863,159136690,146763140,133507440,119635771,105399804,91177930,77259474,64112790,52263978,41925526,32985182,256111807,18690183,13296980,10390371,6848043,6848022,4297002,4297001,6848021,10390348,15066588,14930558,14930557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13817625, s2 = 3291636, dlinesl.size( ) = 2 s1 = 13817625, s2 = 3291636, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13817625, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10232903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10232903, s2 = 11659215, int(edited[s2]) = 0 s1 = 10232903, s2 = 11659215, d1 = 1, d2 = 1 Dl.O(d1) = 44762879,44762878,55672221,44762881,44762880,55672226,68071189,81098192,67632663,55294733,55294734,67632665,81098194,81098195,95155780,109410426,109410431,95155784,95155783,109410429,119690215,105452107,91230490,77311234,77311235,91230491,105452109,119690216,119690213,105452105,258735798,91230485,77311231,77311233,91230486,105452102,119690196,105452084,105452083,105452096,105452094,91230481,77311228,77311226,259643779,91230473,105452086,260856333,146823108,152693947,159197730,146823116,133564771,133564770,146823115,159197728,262921199,170538208,170538207,180671501,180671505,180671506,180671504,180671503,189570968,197261159,203821279,209298076,203821281,197261162,197261160,189570971,188458496,179427650,169160660,157719127,145309278,132073696,118254699,104094814,89963395,89963394,104094822,104094810,104094811,104094820,104094819,118254708,132073689,118254693,118254694,132073691,145309276,156077206,143543780,143543773,130217889,116383241,116383242,130217890,116383245,116383243,102293862,88301014,88301013,102293860,88301019,88301015,74675663,74675662,61883497,50393684,40358388,31663067,24152300,17785056,12587643,12587644,17785059,17785053,12587642,8539972,7768267,4921771,4921772,7768272,11656830,14044239,14044228,14044227,19600319,26327526,34200657,33781402,30072207,22692334,16490946,11489836,11489835,16490944,16490960,11489846,7641996,7641997,11489848,11489850,16490968,22692361,30072238,32147935,32147934,31663084,31663083,24582792,24582791,21429951,15436825,10671904,7048588,4436376,2663894,2663892,4436370,7048574,9656720,14044261,15436798,15436799,21429909,26327338,34200480,43298517,40948440,32168747,24582885,23027432,16785208,11736103,11736104,16785215,18139167,12862799,12862797,18139159,24582755,30433922,39023401,39023128,30433586,23027310,16785113,11736046,11736045,16785111,23027306,26383028,34260891,28678498,28678458,21429888,15436784,15436783,21429894,256325861,256866539,47097244,58475033,58475043,58475042,71196420,84764625,98691646,88035791,74425989,61644492,61644493,61644490,61644491,74425987,88035790,102018283,102018282,112685958,116073172,116073173,129979407,143310386,155855382,167475198,167187096,155628266,143078908,129748957,115849490,101803138,87829101,74224064,74224063,87829100,257930026,129748950,126160978,255758674,127307398,113448497,99446362,85504793,71919479,71919480,77586520,77587093,91518108,91518112,91518111,105741751,119976429,256235902,147086524,150606612,150606610,150606609,162704931,162704930,150606608,150606607,162704928,173714057,173714059,162704932,162704933,173714062,183492486,192041946,199397108,273502594,212496975,263810018,194919289,186824740,177536847,177536848,186824742,194919291,201850567,207685676,207685672,201850557,201850556,264137990,201850559,201850560,194919284,186824737,177536843,167027988,155382916,155382917,167027990,155382926,142795532,129473830,115588555,115588556,129473832,115588563,115588562,129473836,142795535,142795537,142795536,155382923,142795530,129473829,115588554,101552054,101552053,115588553,129473823,129473824,142795528,260067830,142264809,128913287,128913288,128913291,128913290,128913284,115011365,100957160,257596608,105405431,119641818,112309407,98326286,98326285,84416599,70859119,58145047,58145046,46777494,36899749,28402492,21181741,15220751,15220750,21181739,28402489,21189196,16596959,11575255,11575256,16596961,22815693,30207420,38792114,48713887,60108962,64356689,52486424,52486425,64356691,64356692,52486427,42131454,33175063,25432332,25432331,25432334,25432333,33175065,31431109,31431110,31429850,31429851,40109552,31431370,23940203,23940202,31431368,40110764,50131033,50130046,40109547,40109546,50130044,61610736,74388119,87991757,85051913,71480544,71480542,58751760,52355355,42016138,42016140,38381597,29809473,22442684,22442683,29809471,38381595,38378630,29806830,22440500,22440497,29806833,38378634,39879195,39879194,49900657,61381228,74161790,259495129,115783895,129680478,129680480,143008157,155556193,166318469,165284611,153488536,140807870,127448521,113572993,99556974,85606623,85606624,99556976,113572995,127448524,127448527,128592346,128592344,114694858,100649304,86676331,73071551,73071552,72736548,59999597,48608134,48608133,59999595,61733805,50255482,40236169,31550231,24046498,24046497,31550229,40236168,50255481,61733803,61733796,50255477,50255476,61733794,74515336,88127494,88127497,78852417,65520136,53496693,43018442,43018441,53496692,65520135,65520126,53496688,43018439,33961393,26123693,19429469,13901825,9540137,254458545,254458547,9540140,255296269,256173361,43018452,53496704,257812692,28362913,257418413,269804936,38041362,29478278,29478279,38041364,47954903,47954894,47954893,49427706,49427705,60829932,59346182,47954896,38041357,256805474,22141088,16023645,11125579,7379370,4661993,4661994,7379371,255451083,29478289,38041380,47954919,59346201,258113368,269335809,59346204,47954922,47954921,59346203,72070032,72070033,72070049,61767609,50287838,50287839,54594322,61449887,59335487,59335480,47943471,38029490,29466984,22131834,16016688,11120848,7376281,254765501,16016684,255887483,38029479,47943440,38029462,256925223,47943466,257505349,66853382,54594321,43849714,43849713,38029481,29466980,29466981,38029484,47943447,38029470,29466974,22131829,22131828,22131825,22131824,29466967,38029455,269335807,59335469,72070002,59335454,59335453,72070026,72070052,85657322,72069997,258738773,99607002,99607020,85657347,85657346,85657337,72070006,59335437,59335438,47943445,38029468,29466973,255885672,16016682,22131826,29466969,38029459,47943434,258115353,258534421,55352105,44505975,35128343,35128342,44505972,55352104,67691602,81157056,259580624,257716504,58649884,58649885,257716508,258534417,269442298,67691567,55352102,55352103,55352117,257914089,81157044,67691587,257314371,44505962,44505956,35128323,27041179,27041180,35128325,44505958,44505978,35128347,27041190,20148090,14453089,9943607,6535457,6535458,9943608,14453091,20148093,27041195,35128354,44505989,254947226,42719623,53169216,53500545,268510382,268828599,55352136,257848679,43111329,34038920,26187087,268518865,43111333,269560825,93120832,95534800,93120793,258465999,258466001,65654897,53609078,53609079,53609095,43111317,34038910,257254693,257848671,79004852,259049322,259090149,79004936,259095277,67691623,55352127,55352126,65654889,53609070,43111304,34038900,34038901,43021223,53500536,65525988,78861914,92974003,85076892,85076891,93120779,93120768,93120769,92301873,92301872,106599840,93120814,93120815,107527207,121901790,121901786,107527204,93120812,79004920,79004921,86002332,86002333,93120786,93120807,93120808,93120801,93120802,107527190,121770348,107385168,92974001,79004874,65654878,53609061,43111296,43111294,53609059,65654876,79004870,93120771,107527183,107385170,107385169,121770349,121901787,122901357,135828282,258717194,93120778,258923060,92301871,99002246,99002240,85076893,78275133,65002172,53027467,53027466,65002170,78275128,270358858,95182870,81124449,81124448,95182872,106599864,106599863,120848712,109438851,95182849,81124428,81124425,95182844,95182879,81124454,257911095,44471822,44471821,55317952,67657668,258717196,84288778,84288777,98184631,257483296,70736996,70736995,73324849,60581038,60581037,256482644,95182863,87091313,73473535,73473536,84384794,84384793,98293551,98184643,98184644,101087969,109438853,100916509,86934817,73324841,60581032,60581033,73324837,86934811,100916497,112275087,112275086,126134258,139509004,152240066,150516726,137485194,260080014,115164670,257608548,257608546,86934813,86934812,100916500,114970120,123760036,259463314,259463324,87091340,101087987,114970133,123760028,109568805,95312025,95312024,109568803,123760024,123760008,123760007,137485179,150516715,142224409,128872439,114970098,114970097,128872438,115001746,109568818,95312039,81251132,81251133,81251177,259169779,81251136,81251128,81251100,81251096,81251095,81251176,67781797,67781796,81251174,93458154,81251122,81251121,81251120,95312027,95312062,81251162,81251161,81251158,67781784,67781783,67781775,67781776,258618946,81251135,259245318,257994940,67781745,81251102,93458152,93458153,93458145,79327508,79327507,93458140,107887087,98182569,84384968,70827450,58112447,58112448,70734726,58019936,46646687,46646685,58019931,70734722,79327512,65964143,65964142,270139609,95286862,95197366,81140494,67674590,67674589,70827374,58112395,58112397,70827376,65964139,59655448,48268834,48268833,59655446,72389673,85984636,95286857,95286858,84384885,70827372,58112391,256839375,36861061,46742538,58112387,61930577,50440137,50440138,269885811,88352201,98290954,98290953,112272601,112275162,98293695,259898737,98293694,84384971,70827454,70827455,259137095,80366775,86572467,72974723,60237963,60237961,72974721,86572465,100533257,103394943,257481966,62611982,62611981,75549786,258092082,99322278,85377628,71788237,71788236,84384850,98293587,112275108,271118964,152240076,139509020,126134295,112275140,98293667,84384945,70827434,58112435,46742569,36861078,36861079,46742572,58112445,70827444,80366779,70827320,70827319,70827480,84384997,86695877,86695878,84384999,70827485,58112471,46742588,46742589,58112473,70827488,84384988,84384951,84384952,98293676,112275150,270600296,70827475,58112465,58112467,70827477,70827360,58112383,46742536,46742535,58112381,70827354,84384867,87809366,270442072,84075512,97949355,111886959,98293640,84384915,70827401,257418407,46742557,58112417,70827351,84384865,70827443,70827393,70827394,84384908,98293633,109400796,105413025,98293715,84385061,84385062,84384917,84384918,98293642,95146823,81089395,67623718,55285808 Dl.O(d2) = 44762879,44762878,55672221,44762881,44762880,55672226,68071189,81098192,67632663,55294733,55294734,67632665,81098194,81098195,95155780,109410426,109410431,95155784,95155783,109410429,119690215,105452107,91230490,77311234,77311235,91230491,105452109,119690216,119690213,105452105,258735798,91230485,77311231,77311233,91230486,105452102,119690196,105452084,105452083,105452096,105452094,91230481,77311228,77311226,259643779,91230473,105452086,260856333,146823108,152693947,159197730,146823116,133564771,133564770,146823115,159197728,262921199,170538208,170538207,180671501,180671505,180671506,180671504,180671503,189570968,197261159,203821279,209298076,203821281,197261162,197261160,189570971,188458496,179427650,169160660,157719127,145309278,132073696,118254699,104094814,89963395,89963394,104094822,104094810,104094811,104094820,104094819,118254708,132073689,118254693,118254694,132073691,145309276,156077206,143543780,143543773,130217889,116383241,116383242,130217890,116383245,116383243,102293862,88301014,88301013,102293860,88301019,88301015,74675663,74675662,61883497,50393684,40358388,31663067,24152300,17785056,12587643,12587644,17785059,17785053,12587642,8539972,7768267,4921771,4921772,7768272,11656830,14044239,14044228,14044227,19600319,26327526,34200657,33781402,30072207,22692334,16490946,11489836,11489835,16490944,16490960,11489846,7641996,7641997,11489848,11489850,16490968,22692361,30072238,32147935,32147934,31663084,31663083,24582792,24582791,21429951,15436825,10671904,7048588,4436376,2663894,2663892,4436370,7048574,9656720,14044261,15436798,15436799,21429909,26327338,34200480,43298517,40948440,32168747,24582885,23027432,16785208,11736103,11736104,16785215,18139167,12862799,12862797,18139159,24582755,30433922,39023401,39023128,30433586,23027310,16785113,11736046,11736045,16785111,23027306,26383028,34260891,28678498,28678458,21429888,15436784,15436783,21429894,256325861,256866539,47097244,58475033,58475043,58475042,71196420,84764625,98691646,88035791,74425989,61644492,61644493,61644490,61644491,74425987,88035790,102018283,102018282,112685958,116073172,116073173,129979407,143310386,155855382,167475198,167187096,155628266,143078908,129748957,115849490,101803138,87829101,74224064,74224063,87829100,257930026,129748950,126160978,255758674,127307398,113448497,99446362,85504793,71919479,71919480,77586520,77587093,91518108,91518112,91518111,105741751,119976429,256235902,147086524,150606612,150606610,150606609,162704931,162704930,150606608,150606607,162704928,173714057,173714059,162704932,162704933,173714062,183492486,192041946,199397108,273502594,212496975,263810018,194919289,186824740,177536847,177536848,186824742,194919291,201850567,207685676,207685672,201850557,201850556,264137990,201850559,201850560,194919284,186824737,177536843,167027988,155382916,155382917,167027990,155382926,142795532,129473830,115588555,115588556,129473832,115588563,115588562,129473836,142795535,142795537,142795536,155382923,142795530,129473829,115588554,101552054,101552053,115588553,129473823,129473824,142795528,260067830,142264809,128913287,128913288,128913291,128913290,128913284,115011365,100957160,257596608,105405431,119641818,112309407,98326286,98326285,84416599,70859119,58145047,58145046,46777494,36899749,28402492,21181741,15220751,15220750,21181739,28402489,21189196,16596959,11575255,11575256,16596961,22815693,30207420,38792114,48713887,60108962,64356689,52486424,52486425,64356691,64356692,52486427,42131454,33175063,25432332,25432331,25432334,25432333,33175065,31431109,31431110,31429850,31429851,40109552,31431370,23940203,23940202,31431368,40110764,50131033,50130046,40109547,40109546,50130044,61610736,74388119,87991757,85051913,71480544,71480542,58751760,52355355,42016138,42016140,38381597,29809473,22442684,22442683,29809471,38381595,38378630,29806830,22440500,22440497,29806833,38378634,39879195,39879194,49900657,61381228,74161790,259495129,115783895,129680478,129680480,143008157,155556193,166318469,165284611,153488536,140807870,127448521,113572993,99556974,85606623,85606624,99556976,113572995,127448524,127448527,128592346,128592344,114694858,100649304,86676331,73071551,73071552,72736548,59999597,48608134,48608133,59999595,61733805,50255482,40236169,31550231,24046498,24046497,31550229,40236168,50255481,61733803,61733796,50255477,50255476,61733794,74515336,88127494,88127497,78852417,65520136,53496693,43018442,43018441,53496692,65520135,65520126,53496688,43018439,33961393,26123693,19429469,13901825,9540137,254458545,254458547,9540140,255296269,256173361,43018452,53496704,257812692,28362913,257418413,269804936,38041362,29478278,29478279,38041364,47954903,47954894,47954893,49427706,49427705,60829932,59346182,47954896,38041357,256805474,22141088,16023645,11125579,7379370,4661993,4661994,7379371,255451083,29478289,38041380,47954919,59346201,258113368,269335809,59346204,47954922,47954921,59346203,72070032,72070033,72070049,61767609,50287838,50287839,54594322,61449887,59335487,59335480,47943471,38029490,29466984,22131834,16016688,11120848,7376281,2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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10232903, s2 = 11659215, dlinesl.size( ) = 2 s1 = 10232903, s2 = 11659215, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10232903, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 14164856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164856, s2 = 4484801, int(edited[s2]) = 0 s1 = 14164856, s2 = 4484801, d1 = 26, d2 = 23 Dl.O(d1) = 112915080,261118929,261048937,97774890,83916745,258623069,57696821,46347652,36489856,28027303,255360645,10291559,6765633,4240086,2535164,2535163,2541404,1464197,1464199,1465341,2543474,3702617,2217692,2217690,3702612,5921359,9057024,8329553,5375899,5375900,6747310,4227871,2527939,1456889,1456887,2527932,4227859,6747287,6799536,5934384,5934382,9074517,13291966,14972698,10374339,10293914,6767293,4241164,2535784,1461237,1461236,2535782,4233611,4233612,4257777,4257778,6791133,6791149,5942656,3715982,3715984,5942665,254912161,15028489,10356233,6820358,6820357,10356230,10356257,10356258,13310784,13310782,15028641,10356369,6823900,5953512,5953511,9099389,6830223,4285141,2561945,2219153,2219154,3705363,5925846,9062782,13273945,9067774,254706723,4244261,2537647,2537646,4244259,6771534,8125944,5956030,5956031,6828298,5954309,3723655,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245628,5211310,3179399,3179398,2555936,2055779,1179335,1179334,2055777,3466943,5588314,5588253,5588254,8600006,10362622,10362621,255277856,254830841,8130354,12089989,255541165,256492341,39521283,37397485,28856705,21583787,15559448,268387489,25457527,33204716,42164894,52523307,64397224,77565653,91496827,105721261,260871819,147069931,159445547,159233565,146860391,259027984,119729561,257195988,77348546,255661980,50356619,40329511,40329512,43057981,33999239,33586191,31596820,31596819,33505341,42424699,46665077,47812249,37890579,29322714,29322715,37890580,43057739,33998858,256552660,65562182,78896960,93006476,107414289,121796474,135735661,148974328,148974326,148974327,161279846,172480313,182432653,191136307,189530309,180626016,170488071,159145310,146770846 Dl.O(d2) = 32989716,25266071,24180289,24180290,31688982,37051642,39294453,39294454,32989699,25266057,18694469,13301452,13301451,18694466,25266048,25266015,25266014,32989641,32410014,25266026,18694455,18694454,25266024,32989651,40367457,40367458,40367461,50402858,40367465,32989666,25266036,25266035,256627193,52268987,257023198,41930116,52268936,52268971,52268970,64118006,64118047,52268975,52268974,44607851,35226898,27132793,27132792,35226895,41930237,41930131,32989606,25265981,18694418,18694417,25265977,32989600,41930124,52268940,44607771,41930104,32989579,25265949,18694400,18694401,18694452,18694451,22073013,29403370,31672805,24163132,17795449,17795448,256039245,39127445,30529066,30529067,37533055,32989696,25266053,25266052,32989694,41930220,37533061,28988242,256348139,47440944,47440945,49057481,40367455,40367456,44607849,38944809,38944810,47440996,48864583,41930185,32989659,25266030,25266031,28988237,21704583,21704584,21704595,15663246,15663247,21704599,28988257,35226923,28988123,21704500,255049995,10842869,15663197,21704504,28988129,29135314,29135313,37695958,47619210,59022794,258713787,99302043,260558967,127165573,140512364,153195206,165014203,175747122,185260038,193559309,200673121,263024786,273056094,176926600,166329049,260395670,259155046,100663197,86690605,73086864,256215130,33028497,25302299,18727488,18727487,25302295,29132503,29132502,37693832,47617880,59021582,47617745,37693631,254121576,15757769,254098672,7217221,10912873,15757760,20067149,26933156,20046924,14361150,12488072,12488069,15499932,20062230,14378022,9884090,9884091,7627159,7627161,8356463,8356465,11133578,11133582,10884306,10584616,6982377,4387146,2628086,1517258,860199,860198,1517255,2628077,4387119,6982315,10584478,15324702,21290071,28510076,23564336,17253189,12133587,267993153,5233751,3194355,1869795,1869796,3194358,5233755,8163811,12133600,17253209,23564363,31048599,30766319,30766320,39367898,269372655,73444504,87062047,101057805,115132470,129060259,260403050,141807826,270137924,100542167,86581541,72984634,60249326,48856780,38937565,30351671,22949998,22949996,30351666,23653080,23653081,31140585,39823344,49847237,55347042,55347043,67686795,81152600,95209726,109464283,123656795,116174792,102117177,88129242,74517060,61735494,50257130,40237756,31551792,24047954,17694964,16659672,16202157,12515343,8478742,5480658,3372542,3372546,3372592,3372671,1984642,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729945,23079242,16827092,11766952,7856109,7856111,11766958,16827103,255156498,39089617,49019395,257043824,258235322,100763267,114815438,128715560,142074991,154714209,166425185,177010525,186372657,194534035,201524380,207407625,211423248,206419597,200370064,193209204,263104877,262181231,272184881,112797887,98805208,84876459,71301955,58569910,47181044,37275035,28742598,21484760,15480760,10705233,7072544,4452821,4452822,7072541,10705227,15480747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164856, s2 = 4484801, dlinesl.size( ) = 18 s1 = 9357397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9028144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6834238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6834238, s2 = 11061484, int(edited[s2]) = 0 s1 = 6834238, s2 = 11061484, d1 = 88, d2 = 42 Dl.O(d1) = 259014769,105437139,119675556,263709725,274142309,265347612,209288933,203811521,197250948,264622063,197250942,189560334,189560333,263825518,189560350,189560348,189560347,197250957,203811530 Dl.O(d2) = 273727312,263182212,260635996,100432368,86475235,259424077,86475235,72879800,60143343,48749029,256986930,16626739,11597642,7720209,7720210,11597644,8532249,5530469,5491327,3381838,3381839,267913369,8500037,5501642,254409627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6834238, s2 = 11061484, dlinesl.size( ) = 58 s1 = 14165146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165146, s2 = 3293706, int(edited[s2]) = 0 s1 = 14165146, s2 = 3293706, d1 = 29, d2 = 13 Dl.O(d1) = 17929124,255206519,8630888,5612400,3486014,3486013,5612398,8630887,12703656,255597993,24314931,256558773,40530963,50567538,62060035 Dl.O(d2) = 105444530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165146, s2 = 3293706, dlinesl.size( ) = 2 s1 = 14165146, s2 = 3293706, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165146, Dl.E( ) = 30, 7.87e-06 seconds used appending s1 = 2010685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2010685, s2 = 5254398, int(edited[s2]) = 0 s1 = 2010685, s2 = 5254398, d1 = 107, d2 = 99 Dl.O(d1) = 52312488,41972074,41972073,52312487,64163969,77311967,84365121,84365122,259897497 Dl.O(d2) = 274561798,218377896,265256080 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13693013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13718007, s2 = 8474887, int(edited[s2]) = 0 s1 = 13718007, s2 = 8474887, d1 = 70, d2 = 45 Dl.O(d1) = 143861635,262044962,116704651,116704649,130541631,119693167,105455275,105455274 Dl.O(d2) = 1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405957,257057751,61392476,74173137,87778126,101751735,115798432,125567493,125567492,260245598,119951431,115798427,101751732,87778123,87778124,101751733,115798429,105716245,91492266,77561456,64393310,52519258,52519257,64393308,77561453,91492263,105716240,119951425,119951424,133818848,147064533,150465682,137428268 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3294464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6834634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9661706, s2 = 3555195, int(edited[s2]) = 0 s1 = 9661706, s2 = 3555195, d1 = 4, d2 = 9 Dl.O(d1) = 17492541,17492542,16652288,11619833,7738415,267833555,254170627,973122,1712437,973663,973664,1713513,2955045,2949956,2555365,1701964,967493,967021,544768,305201,305202,544656,966769,1700583,254363981,4867953,7692429,11559212,7694178,7694177,11432912,11432913,11550829,7689609,4866055,4629669,2789075,1618170,920456,920457,1618173,2789084,2892109,1678550,1678551,2892114,4798096,4806006,4806008,7597603,7597649,4806033,4806032,7597643,7329115,4629898,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,4803452,7587692,4821318,4821317,7593736,7591435,4809871,4809872,7602985,7740718,7740717,7688617,4865334,4865338,7688625,7608995,4813719,4813717,4813547,2900885,1682971,957010,539330 Dl.O(d2) = 33050796,33050797,257187257,259018045,105472748,119711882,133586208,146843535,159216511,170554406,180685724,189583640,197272952,189583641,189583642,197272954,203832490,264623775,217485826,220559923,223174384,225433960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661706, s2 = 3555195, dlinesl.size( ) = 2 s1 = 9661706, s2 = 3555195, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9661706, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 10357767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357767, s2 = 8110092, int(edited[s2]) = 0 s1 = 10357767, s2 = 8110092, d1 = 16, d2 = 21 Dl.O(d1) = 274442406 Dl.O(d2) = 260262172,259018238,53269659,42816702,33784144,25973879,25973878,255254110,14086011,19651978,26386453,34263942,43363793,41302523,32459821,30285223,30285225,26678449,21760844,16422363,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195958,19818151,24217562,31724468,39708640,31721236,24213975,23544030,23544029,31025216,37272830,28740628,21483070,15479481,15479480,21483067,19651617,19651618,26386111,26396922,19662854,14094367,14094072,14094071,19660698,14092691,9692994,9692993,11546630,254739638,21579939,268233535,4861046,2929283,2929284,4861049,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,16644207,15159180,10454350,10454352,15159166,16041828,11138780,7388218,7388219,11138784,11562346,16582027,22798876,30188538,23789641,17458322,17458321,21482154,15478747,10703851,254366130,17767208,17767207,24130602,23113676,16854606,11787759,7871141,7871140,11787754,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838680,11111454,10775690,7119786,4862364,4862367,7684492,7684495,7794941,7794940,9332613,6113172,3824980,2291644,2291642,3824952,6113126,9332575,13629066,19089487,25718630,33494677,30658415,259158059,55289036,52350783,42011413,33067302,25337719,22196268,16067624,11156827,7400148,7400149,11156829,16067571,11156792,7400129,7400130,268083655,22196199,29539417,38102869,30904873,30904872,39513031,32779989,32779990,41696354,38102834,29539366,22196152,22067919,15963084,11079264,11079265,13287146,9070225,5931117,3708576,2220928,2220927,3708574,5931113,254796806,4640118,4640116,7339869,4636217,4636214,2792719,1619977,1619978,1619986,1619989,2791920,1619594,921213,519406,291227,291224,519390,921181,1619701,2792127,4635092,7337864,7340498,11070388,11078508,15962176,12827616,8721736,8721737,7342052,7342054,7342069,7342070,11072751,15954927,11072673,7342014,4637453,4637452,7342009,10492271,10492272,15210641,11081506,9204101,9204100,7338515,4635463,4635465,7338524,7339275,4635882,2792515,2792517,4635889,7339291,8637460,8637459,12712542,11068421,7339116,7339115,7334532,7334533,11061624,11074402,11074403,15941150,15943217,15943216,15959409,22047108,22045769,15943142,15943144,22046161,29376788,22069245,22069244,22061805,22061806,29392325,22069568,15964663,15964662,22051800,19800656,19800658,26608153,22069570,15964668,15964667,20223295,20223296,27128356,29796738,25541533,18928944,254696174,13493859,9231839,6046135,3782957,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490322,29373392,29373391,37939523,47858936,47884085,37965493,37965492,42143764,42285876,33305724,25543815,18930877,18930876,25543813,33305720,36432340,36432339,46285508,256198620,18928184,25540684,33302811,42283648,48102617,54671628,54671627,256512550,42284540,42284539,34582373,26595263,19789775,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,22272067,29623443,29304301,29304303,25526476,256133363,33286776,30526664,257007393,60458746,59400867,48013446,38102934,38102935,37367613,28827604,255412221,11851474,11851477,16933499,15221402,10499667,10499666,15221400,21182640,28403460,36895470,256158304,25873786,25873785,33679894,38103613,46774742,36896639,28399127,21178773,15218447,15218446,19215081,13725068,13725067,19215079,25873792,33342806,33342807,42323699,52710748,58140306,70854720,58140293,46772355,36894105,28396662,255384915,15216812,255814061,36894108,46772359,58140294,58150320,46782794,268836786,21186638,21186639,28407880,36905249,30837308,23408277,17133825,12040972,12040971,12041164,8094919,5186028,5186027,8094917,12041159,16121713,11199035,7430923,7430924,11199039,16121718,17133885,12041012,8094836,5185987,5185986,8094834,12041006,8094875,8094874,12041077,17133974,23408451,30837455,269847907,272877972,12797669,8700882,5663527,5663525,5620965,3492053,2074443,1191706,1191703,1205717,1205705,679634,673688,673687,702491,1238697,1203808,1203809,2092536,3518026,5657256,8692343,12786248,18035453,18035454,24453010,257119085,264311705,274127275,216844444,220047824,265768895,266264783,235182512,274855266,239072135,239659777,240203799,240707109,241173237,241173243,241173250,267060287,240707149,240203842,239659827,239072182,266816935,240203844,240707154,241173268,241173239,240707112,240707111,266873289,239072175,239072146,239072147,238432901,237731946,236959832,266457267,266618815,238432896,239072186,239659829 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3555359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3010474, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8359762, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3557420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343737, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8446659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6835346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8377211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7074877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6835458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13353933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10192675, s2 = 8539282, int(edited[s2]) = 0 s1 = 10192675, s2 = 8539282, d1 = 52, d2 = 51 Dl.O(d1) = 32722529,41628767,51931857,63742034,63742064,63742001,51931775,51931776,51931769,51931768,63741996,63742044,63742043,76846845,76846835,63742022,63742021,68080682,63837029,63837030,76944042,76846841,63742041,63742042,68080679,55682063,44773321,256367818,52022091,52022092,63837020,76944077,71322779,58589450,52022107,52022108,46277995,46277996,55682071,44773325,44773324,55682069,63837031,63836971,257172813,41711303,52022029,41711378,36425286,36425287,46278000,41711398,41711399,41711380,257172827,256618415,25095580,25095579,272201370,18548545,13179256,8983616,8983617,268138293,25095582,32795013,41711402,32795156,32795155,257172821,32794979,25095557,25095558,25095584,25095583,18548674,18548673,25095715,25095717,18548675,13179349,13179348,13179232,13179233,18548517,25095536,32794960,41711346,41711519,32795142,32795041,25095610,18548670,13179347,8983688,5865013,5865014,8983593,5864947,5864946,8983591,13179235,13179283,13179284,255642661,13179340,8983682,8983683,13179342,8983686,254437277,2190820,1271647,1271646,2190819,3661624,5864959,8983602,8983603,8983597,5864951,5864952,8983599,13179243,18548402,13179222,8983583,5864942,254639023,8983539,5864919,5864920,8983541,254639029,3661585,2190795,1271631,1271630,2190793,3661581,254639027,3661631,2190823,2190824,3661550,3661551,5864914,8983536,5864972,3661593,3661594,254639031,3661621,2190815,1271644,726632,413263,413262,726629,1271641,254294871,5864982,5864979,8983642,13179239,13179238,268289275,25095677,25095604,18548565,18548564,25095602,32795032,25095680,18548633,18548632,256104043,25095592,18548555,18548556,255259205,254443639,3752207,254648767,13407832,18820186,25411584,32795109,32795110,41711490,45643625,41711423,32795073,32795072,41711446,41711424,41711425,40282084,31597739,24094010,255193519,12548811,17735922,24094007,31597736,32795076,25095654,18548615,254906593,8983651,13179311,18548622,25095670,27659964,20600103,14774656,14774655,20600100,27659961,32794837,25411581,25411582,25095454,18548446,18548449,25095460,32794871,41711227,41711226,41711238,52021994,52021990,52021989,52021993,41711236,32794839,27269742,256240575,40282092,31597744,31597743,40282089,50302356,61781681,52022000,256618401,25095437,25095435,31597759,24266775,24266774,31779353,31779352,36422874,269299418,256804945,36425257,46277973,269840806,14909926,14909925,11852380,11852379,268241933,16934795,16934794,16934817,16934818,23205267,30627954,39225857,39225887,30627939,23205256,23205257,30627941,39225890,49152619,39225883,30627937,268241935,16934811,23205254,23205281,23205282,30627965,39225833,39225834,39225939,49152661,51367422,51367423,49152650,49152651,257993572,60552134,49152598,49152597,60552129,73295394,72319675,59585091,59585090,67575371,55232785,55232784,58931063,47548722,47548721,58931062,52275011,41936072,32995215,25271035,256112841,41936069,52275008,57620599,57620600,64124182,57620767,256635772,28551438,28551437,37051220,46929175,58294918,52274982,41936041,41936040,49152593,49152594,60552124,57620769,46276359,36423685,36423684,36423686,46276363,46276370,36423693,36423692,46276368,57620589,57620588,55682174,52274984,52274983,64124186,70310416,64124208,52275015,41936076,41936077,46276346,36423673,27965186,27965185,36423672,44773450,44773449,55682164,57620440,70310855,70311014,70311013,68080779,55682181,44773443,36423687,27965194,256267681,20802713,14908700,14908701,20802714,20296768,20296767,27225286,35348330,257330265,68080775,257330263,35348316,35348318,27965111,20805318,20805319,27968179,27965108,27965109,36423550,27965196,27965195,268597633,27968175,20805309,20296752,20296753,15702682,10870216,10870215,15702680,20802784,14908741,10251117,6735629,4220168,2523180,1454021,1454022,2523183,4220176,6735639,10251133,14908762,20802808,27965213,27968174 Dl.O(d2) = 272373246,262471164,140983906,127634873,260913628,72203900,257515907,48075189,38162360,38162359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2312889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9180690, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14970269, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3301694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6978026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7870065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3562509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4012534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3303606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3303606, s2 = 2590329, int(edited[s2]) = 0 s1 = 3303606, s2 = 2590329, d1 = 15, d2 = 3 Dl.O(d1) = 105760428 Dl.O(d2) = 73109036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3303606, s2 = 2590329, dlinesl.size( ) = 20 s1 = 15581533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15581533, s2 = 3563101, int(edited[s2]) = 0 s1 = 15581533, s2 = 3563101, d1 = 4, d2 = 5 Dl.O(d1) = 27211413,24571648,18130328,12855827,12855828,18130333,24571657,32155801,30217206,22824829,19801515,19801516,20246255,19337685,13828937,13828936,19337680,26012007,26657861,29213791,21899688,15820608,10963897,7257318,7257320,10963904,15820618 Dl.O(d2) = 120059868,133903446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15581533, s2 = 3563101, dlinesl.size( ) = 2 s1 = 15581533, s2 = 3563101, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15581533, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 3799526, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9235639, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3304591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3276827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7652380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10151583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10151583, s2 = 10261110, int(edited[s2]) = 0 s1 = 10151583, s2 = 10261110, d1 = 154, d2 = 115 Dl.O(d1) = 257798315,42288503,33308437,255407972,13498789,13498788,18934265,25546883,33308431,257798315,42288503,33308437,255407972,13498789,13498788,18934266,25546884,33308435,42288501,52674758,64574882,77757502,91684610,105891675,120103206,133945053,147167461,159526779,147167453,133945038,120103185,120103184,133945032,133945047,120103197,105891662,91684596,77757488,64574869,52674747,42288492,42288491,257798315,42288503,33308437,255407972,13498789,9235353,9235354,13498791,18934270,25546888,257207275 Dl.O(d2) = 208616702,202964654,196221196,196221195,202964649,208616698,213261647,208616702,202964654,196221196,188339210,263679233,202964657,264601093,217062129,213261641,213261642,213261662,208616723,264020877,188339217,188339219,196221210,202964679,202964675,264326211,208616518,208616519,208616558,213261533,213261589,208616626,202964575,263679213,179289369,169004254,157542508,145108493,131850111,260210485,260210487,131850113,262417519,263301181,264020875,264601091,202964660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10151583, s2 = 10261110, dlinesl.size( ) = 28 s1 = 14164960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6836814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6836814, s2 = 13426028, int(edited[s2]) = 0 s1 = 6836814, s2 = 13426028, d1 = 61, d2 = 9 Dl.O(d1) = 259041769,105900326,120112534,133954577,262479703,170862638,180981949 Dl.O(d2) = 57866585 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3306476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3306476, s2 = 15937375, int(edited[s2]) = 0 s1 = 3306476, s2 = 15937375, d1 = 1, d2 = 23 Dl.O(d1) = 105903048 Dl.O(d2) = 12814048,8712341,5671347,5671348,8708557,254885835,18065561,21054422,28255287,22911920,16679187,11642309,11642310,13124207,8945125,8945108,5839082,5839083,8945110,13124190,14457912,13127085,13127086,8946816,8946814,13123418,13123420,16679319,22912086,28180373,28087236,21385221,15401887,15401886,21385220,24492287,18472288,13123523,8944752,5838903,5838902,5839470,5839469,8708396,8708397,5669419,3526723,3526725,5669429,8708701,8711465,5671050,5671046,8711800,5675003,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,2178785,2178789,1262619,719300,406843,406839,406815,228206,125688,68227,68226,125684,228198,406800,719225,1262451,2178477,3644244,3643939,2178333,2178335,2178535,1262479,1262480,2178539,3644350,5839575,8945916,13125352,18474769,18472085,13123373,13123374,13131667,13131666,18474861,18474864,18471937,18471938,17985409,12746865,12746867,17985415,13125277,8945863,8945865,13125281,13128479,8947718,5840429,3644740,3644741,3644056,3644057,5837667,8942613,13120092,18067446,12809246,12809245,13791161,9456410,6200064,3880592,3880593,6200069,8763141,8762469,8762468,8646220,8646221,12724562,8949106,8949105,8639659,8639658,12715455,17944230,18071267,255608509,18474630,24999705,32059809,256163069,25954113,25008570,18481411,13130051,8948760,5841063,5841062,7756079,7756080,8948855,7756730,4912341,4912340,7756724,11643145,11456756,9947039,8718612,5675081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3306476, s2 = 15937375, dlinesl.size( ) = 2 s1 = 3306476, s2 = 15937375, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3306476, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 3565562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4664082, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10144093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3307061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3307068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3802258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3328948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3328948, s2 = 11437102, int(edited[s2]) = 0 s1 = 3328948, s2 = 11437102, d1 = 23, d2 = 21 Dl.O(d1) = 107398153,105926882,260882435 Dl.O(d2) = 274147086,274378872,274491207,274346900,264991158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3328948, s2 = 11437102, dlinesl.size( ) = 18 s1 = 8216011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8379061, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8559567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9474308, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8431914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8431914, s2 = 5885457, int(edited[s2]) = 0 s1 = 8431914, s2 = 5885457, d1 = 128, d2 = 127 Dl.O(d1) = 273928577,272036678,134009606,120176508 Dl.O(d2) = 236731981,266799869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8431914, s2 = 5885457, dlinesl.size( ) = 52 s1 = 6735379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8429055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3568997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9124252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9124252, s2 = 9731807, int(edited[s2]) = 0 s1 = 9124252, s2 = 9731807, d1 = 41, d2 = 25 Dl.O(d1) = 259471720,64710929,77899432,91820631,106015506,120217457,134052837,259676296 Dl.O(d2) = 268485984,70383290,57690836,254910268,271024494,273440968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9124252, s2 = 9731807, dlinesl.size( ) = 30 s1 = 14164966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6952191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3311661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6837837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6979734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6979734, s2 = 3312163, int(edited[s2]) = 0 s1 = 6979734, s2 = 3312163, d1 = 11, d2 = 0 Dl.O(d1) = 260890079 Dl.O(d2) = 106088251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6979734, s2 = 3312163, dlinesl.size( ) = 10 s1 = 3312564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3312564, s2 = 8432856, int(edited[s2]) = 0 s1 = 3312564, s2 = 8432856, d1 = 4, d2 = 16 Dl.O(d1) = 106094213 Dl.O(d2) = 175487355,185026810,193356798,193356799,185026813,185026812,175487360,175487358,272556408,261510442,175487355,185026810,193356798,193356799,262044116,175487354,164734485,152903769,140213994,126867623,126867624,140213996,152903773,164734484,152903771,152903770,164734487,164734493,152903775,140213997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3312564, s2 = 8432856, dlinesl.size( ) = 2 s1 = 3312564, s2 = 8432856, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3312564, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 10177990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3312889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3312889, s2 = 11463308, int(edited[s2]) = 0 s1 = 3312889, s2 = 11463308, d1 = 1, d2 = 9 Dl.O(d1) = 106101701 Dl.O(d2) = 106101718,106101719,270662412,114908508,114908507,259796550,260409102,261563140,273564321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3312889, s2 = 11463308, dlinesl.size( ) = 14 s1 = 13643437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13643437, s2 = 14282559, int(edited[s2]) = 0 s1 = 13643437, s2 = 14282559, d1 = 25, d2 = 0 Dl.O(d1) = 159694381,147346108,134133822,120303112,106103027,106103026,106103029 Dl.O(d2) = 12509272,8474328,5477842,5477843,7473589,11257943,16195354,22344582,29698338,256943809,258133347,85887258,99841779,113859139,126801912,256816650,98958831,85033897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13643437, s2 = 14282559, dlinesl.size( ) = 2 s1 = 13643437, s2 = 14282559, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13643437, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 10345099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8597409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3571935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301425, s2 = 14165783, int(edited[s2]) = 0 s1 = 14301425, s2 = 14165783, d1 = 26, d2 = 11 Dl.O(d1) = 28068810,20897583,20897582,28068808,36535613,46396516,258004083,61944915,74739418,259538576,116666597,260065046,140158531,126808169,112954089,112954088,112359506,98964852,85039831,85039829,258073277,47350520,37443911,28904626,21630353,15599276,10791260,7129507,4488324,2696424,2696426,4413876,4413877,7019027,10633144,15386259,21365564,26231201,19515293,13969320,13969321,19515298,21630320,15599235,10791229,7129491,7129492,10791235,15599245,21327855,21327854,21327872,28552782,28598534,34093289,34093290,37443924,28904643,28904644,37443926,47350526,37726973,29166971,21857821,21857823,29166978,28598522,28598523,36477892,36477893,37727011,37443825,37443824,37726869,29166870,21857736,21857737,29166875,28904538,21630275,21630276,21857768,29166908,37726884,29166895,29166894,29166998,37727003,37443873,37443872,47350479,47350485,37443877,28904599,28904600,29166836,21857708,15785666,15785668,21857710,29166838,268216309,15785776,21857744,21857731,21857732,21857728,15785734,15785735,21857801,29166943,37726927,47648747,37727056,29167047,29167046,37726944,37726943,47648809,59049995,47648801,46646769,36760962,36760964,37726955,29166961,21857814,21857815,21857877,15785789,10935951,7235854,4561479,2743121,2743119,4561474,7235840,10935926,15785753,15785696,15785695,21857724,15785679,10935887,10935886,15785674,255866535,37726847,29166850,29166849,37726846,47648720,47648721,268828734,37726837,47648739,59049962,71791268,59050006,47648812,47648754,255332508,25447659,254472792,9182396,6009928,6009927,9182395,13430431,18850270,25447656,33193070,30500407,23086813,16833506,11771776,7859346,7859345,11771770,16833501,20174722,20174721,27069613,254692302,33556365,25766814,255749328,28068655,268390794,30713495,39311201,34278613,31775617,29837092,29837091,38409508,40957960,43068357,34010489,34010490,43068358,53547410,65572156,78907103,93017107,107425633,121808035,135747410,134619888,120823004,106574772,92276489,78249006,64975240,53000100,42560001,33543609,268031276,13648936,9346313,9346312 Dl.O(d2) = 169720055,158346342,145972166,132744982,118916768,104726940,90555298,76689003,255306502,254677350,24974539,254211770,13109774,254151316,12727105,12727102,12500851,8467984,6011557,6011555,8777840,8917529,8935428,8935427,13110763,14039481,13109354,9390736,6152167,6152165,9390724,9587738,6293613,267863678,13963786,19508408,26222718,34083360,43166605,39391620,30789142,30789143,34082949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301425, s2 = 14165783, dlinesl.size( ) = 2 s1 = 14301425, s2 = 14165783, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14301425, Dl.E( ) = 28, 1.5e-05 seconds used appending s1 = 9140103, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3314838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 673237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 673237, s2 = 11447854, int(edited[s2]) = 0 s1 = 673237, s2 = 11447854, d1 = 49, d2 = 33 Dl.O(d1) = 17183980,12082654,12082653,17183979,23463058,30896293,26639214,19827291,254964283,254313251,1396965,2413419,4027464,6419713,9763956,268047100,26931884,20808396,20808395,22091564,21589184,15563343,10764733,7112510,4478268,4478269,7112511,7112587,10764860,272397128,120836869,134633969,259062810,28883788,22678131,16481085,16481084,16481108,16481110,22678163,18927193,18927192,24263896,24263895,31776248,254659024,13743208,13743207,19236077,25896154,33702212,42731816,48427724,47920354,38004790,34002117,26160383,19460546,19460545,268517559,30795058,38669745,32837697,25132598,25132599,18579492,13203575,9000995,5876397,5876398,9000997,13203578,18579498,25132681,32837801,38409524,38409525,43888393,34616313,34616311,33216959,25470208,18870020,14191727,14191730,18927350,13493255,13493254,18927348,25539711,33301882,26414385,19678565,14107376,9703925,6382727,6382726,9703921,14107365,19467572,26168344,21118371,21118369,28328811,29322416,25655801,25655800,25895256,33701359,255274834,30740099,23319999,17055352,17055351,23319998,17055396,257023867,258212013,260075875,261249665,273148325,263072358,261620650,98126437,270795540 Dl.O(d2) = 222624466,264924414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 673237, s2 = 11447854, dlinesl.size( ) = 2 s1 = 673237, s2 = 11447854, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 673237, Dl.E( ) = 50, 1.91e-05 seconds used appending s1 = 3315914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3574583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8430193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3574710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3316698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8345843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14723487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4549145, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9179130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7673274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7673274, s2 = 6839144, int(edited[s2]) = 0 s1 = 7673274, s2 = 6839144, d1 = 0, d2 = 0 Dl.O(d1) = 272025657,260313770,259069478 Dl.O(d2) = 272025657,260313770,259069478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7673274, s2 = 6839144, dlinesl.size( ) = 2 s1 = 7673274, s2 = 6839144, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7673274, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10167122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8542603, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3320124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6678300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6678300, s2 = 7581859, int(edited[s2]) = 0 s1 = 6678300, s2 = 7581859, d1 = 22, d2 = 19 Dl.O(d1) = 257234778,42738489,256160014,19241779,13747771,13745204,13745205,255692893,257234505,270024297,260316653,273252809,204311788,209709062,264647076,220805541,265307968,223389256 Dl.O(d2) = 272604038,115147684,101071930,101071931,115147685,101071932,87075831,73458427,268441144,30778407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6678300, s2 = 7581859, dlinesl.size( ) = 2 s1 = 6678300, s2 = 7581859, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6678300, Dl.E( ) = 24, 2.41e-05 seconds used appending s1 = 16365435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3813749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2044964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2044964, s2 = 11317320, int(edited[s2]) = 0 s1 = 2044964, s2 = 11317320, d1 = 0, d2 = 73 Dl.O(d1) = 53198855,256691388 Dl.O(d2) = 273947910,211416845,206412672,264100150,263767686,209716928,209716929,209716926,204321370,204321371,204321374,209716931,214142239,263767686,209716928,204321373,197854347,190266678,272748464,262036882,152693945,164535036,171464479,181477173,190266671,273799349,273030418,262987914,194179120,185959047,176530197,165875864,154108653,141437574,128072121,114185340,114185339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2044964, s2 = 11317320, dlinesl.size( ) = 60 s1 = 3578883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10206388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10206388, s2 = 13664420, int(edited[s2]) = 0 s1 = 10206388, s2 = 13664420, d1 = 45, d2 = 43 Dl.O(d1) = 161456141,261376926,122016512,135944733,148011767,134891898,134891899,122016447,107641313,93237844,93237845,107641316,122016451,135944658,148011752,148011751,154372413,141725284,134891876,122016450,260944597,149169193,262539557,262417542,161456135,172632794,182559649 Dl.O(d2) = 122016497,261510949,134891868,121090356,106830982,92519499,78479729,65195327,53209594,53209593,65195324,78479723,92519488,106830968,121090333,134891871,148011744,148011760,148011748,134891874,121090334,260912991,135944687,122016476,107641335,93237856,93237850,79121356,79121357,93237852,107641328,122016465,135944682,135944701,134891897,134891896,134891872,260807412,122016452,134891869,262010491,272333966,134891870,148011740,160259677,171474163,160259681,160259680,161456129,149169230,149169229,160259678,160259679,161456127,149169256,149169257,161456130,171474156,160259656,160259657,160259682,149169232,135944689,122016472,107641333,107641332,122016471,135944687,122016476,107641335,93237856,93237855,107641331,122016468,135944683,122016502,122016503,135944725,149169207,135944773,135944772,272406355,78479722,65195323,53209591,42759921,33730043,33730044,269101573,78479727,65195327,53209594,53209595,65195328,78479731,92519503,93237867,107641354,259596214,65195328,78479731,92519503,93237867,107641353,122016503,135944724,149169257,149169235,135944692,122016476,262044595,262190042,261122240,114505717,100482010,100482009,260644429,122016461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3579169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659316, s2 = 3038270, int(edited[s2]) = 0 s1 = 11659316, s2 = 3038270, d1 = 1, d2 = 1 Dl.O(d1) = 94466570,80406737,66976468,54717553,258081186,14246190,255733471,34698568,43973753,35083452,26998649,20108241,255216516,15353367,15353366,15354839,18077680,24506242,19277264,13779985,13779984,9917282,6517580,4083743,2443366,1412847,803893,803894,1412850,2443377,4083766,6517620,7622173,11459456,16447133,15346279,15346280,21317289,15348410,10602632,10602630,15348408,20245413,21318150,18751670,13350524,13350525,13350554,13350458,254651084,4084460,2443736,2443737,4084468,2444024,2444023,3530460,2101061,2101059,3530468,254316034,254689602,255610313,18091038,24522336,32097572,40869370,51004324,258947731,103416928,117546589,131347724,144573226,156973985,262864153,171477765,160263988,148016543,134896623,121094986,106835351,92523785,78483905,65199429,53213684,42763869,33733872,25926898,19264920,255227376,6198192,3879381 Dl.O(d2) = 94466570,80406737,66976468,54717553,258081186,14246190,255733471,34698568,43973753,35083452,26998649,20108241,255216516,15353367,15353366,15354839,18077680,24506242,19277264,13779985,13779984,9917282,6517580,4083743,2443366,1412847,803893,803894,1412850,2443377,4083766,6517620,7622173,11459456,16447133,15346279,15346280,21317289,15348410,10602632,10602630,15348408,20245413,21318150,18751670,13350524,13350525,13350554,13350458,254651084,4084460,2443736,2443737,4084468,2444024,2444023,3530460,2101061,2101059,3530468,254316034,254689602,255610313,18091038,24522336,32097572,40869370,51004324,258947731,103416928,117546589,131347724,144573226,156973985,262864153,171477765,160263988,148016543,134896623,121094986,106835351,92523785,78483905,65199429,53213684,42763869,33733872,25926898,19264920,255227376,6198192,3879381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659316, s2 = 3038270, dlinesl.size( ) = 2 s1 = 11659316, s2 = 3038270, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659316, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10171523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10171523, s2 = 95046, int(edited[s2]) = 0 s1 = 10171523, s2 = 95046, d1 = 392, d2 = 365 Dl.O(d1) = 42835764,42835781,53290916,59933940,53290892,42835784,33799749,25986326,19316851,255697575,25986328,19316853,13812555,9472594,6211008,254667051,13812552,19316848,25986320,33799741,42835780,53290914,65282615,78577932,65282611,53290909,53290908,258449985,65282596 Dl.O(d2) = 6569111,9995455,14526824,18817223,18295848,12986552,8840784,8840781,12986546,14020144,9637504,6335334,3974067,3974066,6335329,9637496,9637509,10657891,7038136,7038137,10657897,10658650,10658651,15418885,19280691,19280693,25944028,24544948,18110353,12841871,8732881,5685401,5685402,8732884,12841879,18110366,13761737,10658763,7038787,7038786,10658761,10664873,7043421,7040582,7040583,9449518,9449520,13782429,10661086,10661085,10661106,7040598,7040597,7030031,4422357,2653418,1534589,1534590,2120174,3558511,5716314,8776915,12902571,8776904,8776903,12902569,18191206,24647908,32246115,41038543,32402701,32402702,30200569,22809761,22809762,30200570,32123386 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3581723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13354119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13354119, s2 = 6787685, int(edited[s2]) = 0 s1 = 13354119, s2 = 6787685, d1 = 51, d2 = 111 Dl.O(d1) = 33767048 Dl.O(d2) = 254339505,254161395,893325,1571221,1571272,1571270,2712426,4514138,7167226,10841645,15661065,10841503,7167135,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,37125115,28614070,28614071,21700435,21700434,15660851,15659869,10840737,8743713,8743714,12857791,10841537,7167160,4514105,4514106,7167164,10841542,15659895,255854583,21701514,28984292,268439374,37526208,28982522,21700156,15660059,15660058,15659947,10840789,7166691,254508357,2712269,1571189,1571190,2712270,4513815,254744471,255420941,12558955,17749815,21699855,21699854,28982224,28982035,28982032,256168198,58820254,53362862,257836869,258453719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13354119, s2 = 6787685, dlinesl.size( ) = 28 s1 = 10180933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180933, s2 = 11264875, int(edited[s2]) = 0 s1 = 10180933, s2 = 11264875, d1 = 21, d2 = 5 Dl.O(d1) = 58382045,47010980,256318512,21377532,15395769,10640484,7024673,4418213,2650262,2650263,4418215,7024674,10640486,255399799,28613165,37124027,47010982,58382046,71098552,84661365,98584811,272784428 Dl.O(d2) = 170337573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180933, s2 = 11264875, dlinesl.size( ) = 2 s1 = 10180933, s2 = 11264875, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10180933, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 4030276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4030276, s2 = 1348999, int(edited[s2]) = 0 s1 = 4030276, s2 = 1348999, d1 = 6, d2 = 6 Dl.O(d1) = 148892623,271944270,107320652,92916206,78810020,65479459,53458988,42984182,33930206,255623234,13884514,9526713,9526714,13884516,19407524,26096806,33930208 Dl.O(d2) = 148892623,271944270,107320652,92916206,78810020,65479459,53458988,42984182,33930206,255623234,13884514,9526713,9526714,13884516,19407524,26096806,33930208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4030276, s2 = 1348999, dlinesl.size( ) = 2 s1 = 4030276, s2 = 1348999, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4030276, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8432159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3585922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3586354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3586354, s2 = 6475471, int(edited[s2]) = 0 s1 = 3586354, s2 = 6475471, d1 = 12, d2 = 10 Dl.O(d1) = 121788888,107405765 Dl.O(d2) = 254950284,33988617,31861070,31861069,40562724,50603742,62102302,74905688,88543892,77755324,64572797,64572798,271045801,78527152,65236873,65236874,78527153,259705341,121160558,134969367,272647476,139746841,152469191,152469194,139746844,126370699,112499341,112499340,98503720,84578282,84578281 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6537295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9586358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7007525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9332332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6841182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164970, s2 = 11477306, int(edited[s2]) = 0 s1 = 14164970, s2 = 11477306, d1 = 126, d2 = 128 Dl.O(d1) = 39528721,49462206,60865277,73615513,72009119,59273334,59273333,258375758,73615490,60865260,49462188,39528710,39528709,49462186,55369698,44523540,35147046,27061415,20167636,20167637,22601753,254287822,7602626,4809558,4809556,7602623,11434560,16418562,14196719,9759249,254548676,19819140,22202405,16073040,16073041,11839261,11839258,10384571,10384574,11161267,8088754,8086371,8086372,12028082,12028085,12028313,16377886,16377888,17121521,17121523,22555402,19833105,16431367,11446461,11446460,12033056,8089479,5182744,3162068,3162066,5182737,8089466,12033024,10454438,10454441,7682208,4860934,2929243,2929247,4860947,7682240,11546830,14084808,14092479,14092478,16553765,16553766,22767652,30155927,32131338,40909027,51050669,62681185,75625895,64796022,52876677,42472605,33478986,25705576,19078886,13621022,13621021,19078885,25705574,33478983,42472602,52876669,60056497,64796007,63276042,51557574,51557573,63276041,76297943,70432320,57737983,57737984,70432321,83958855,97818003,99058801,85134391,257471094,256348992,64684292,77873887,77990046,91914085,85516831,76297952,63276048,63276049,71929252,85516840,71929255,59189670,59189669 Dl.O(d2) = 262072213,273289593,162185013,262565365,149977414,149977409,136843460,136843459,149977406,162185007,162185010,263017879,263792215,173279186,162185012,149977414,136843463,123012588,108743658,94450267,94450266,108743657,108743660,123012589,108743659,94450267,94450266,108743657,108743660,123012591,136843458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 3588534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6841466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2410424, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16185684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6580169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6580169, s2 = 8433147, int(edited[s2]) = 0 s1 = 6580169, s2 = 8433147, d1 = 20, d2 = 39 Dl.O(d1) = 256182704,257262004 Dl.O(d2) = 107753736,107753738,107753737,122163870,136130997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6580169, s2 = 8433147, dlinesl.size( ) = 40 s1 = 8433146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8433146, s2 = 6680813, int(edited[s2]) = 0 s1 = 8433146, s2 = 6680813, d1 = 36, d2 = 15 Dl.O(d1) = 122163876,107753742,107753743,122163877,136130999 Dl.O(d2) = 257262005,256182705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8433146, s2 = 6680813, dlinesl.size( ) = 40 s1 = 1040048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3334292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3592068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9700524, s2 = 11476048, int(edited[s2]) = 0 s1 = 9700524, s2 = 11476048, d1 = 1, d2 = 13 Dl.O(d1) = 47841650,37921107,34606948,28223323,21027810,15103452,15103453,255802927,255985998,26340969,26340970,34214542,43312590,43312736,43312737,49263497,39337011,32233865,24636221,24636223,32233868,41026253,32965896,32965898,26341325,26341327,34214972,40499104,31803989,31803990,39337385,34214874,34214875,39153538,30555853,23138420,23138419,18887405,13459742,13459744,14054130,19612810,19612828,19612827,22592361,22592360,29956748,35409529,43312916,43312917,53837122,65903897,79266063,93392306,107814428,122220474,136185003,149436112,149436110,149436109,161727628,172885286,182783631,191435580,198880370,201360525,194335162,186132926,176721013,166084057,154334479,141682093,128332353,114455271,114455270,128332352,141682092,154334477,166084055 Dl.O(d2) = 264406950,219328674,216018888,212023807,212023806,212023820,207134542,201206182,194164381,185942797,176512036,165855782,154085591,141411269,128042538,114152665,100118703,86152548,72554414,59819135,48433091,38525161,255307280,22595201,16654181,16654185,22595130,16411960,11427711,11427712,16411962,19668726,19668727,20946872,20946873,28124510,36597860,46464256,57820306,70521246,84056215,259881209,261062007,261614723,128330838,114453748,100429187,86471983,258176082,30241472,22847888,22847886,256442747,48744852,258176307,86471985,260040541,98281562,84371894,70812590,58095338,46723237,36840422,28343639,21131307,15182356,15182355,21131305,28343635,28343637,29205899,21892610,21892608,29205896,36840837,36840838,42374217,42374216,46723625,36840831,36840832,40536517,40536516,46723414,46723413,36840624,36840623,269080545,33204037,25456928,25456927,33204035,42164097,52522410,64396254,70812587,73297151,86907270,100887358,88500607,257474912,62065237,58695431,47304973,47304972,37531970,37531969,38432332,29871714,29871715,38432334,48336840,255478926,62028309,61417464,61417465,71554630,58826767,58826768,50438247,40404257,31712179,24204505,17834843,15662383,10842359,10842360,15662387,21433381,28682873,36925396,33385003,28426765,21203170,15439440,15439443,13563526,9286458,9286461,6083395,6083397,9286475,13563556,19004991,25619278,33385242,269088193,257805253,77876884,91799228,105993818,120194446,134027925,147245009,159600806,170925707,181040712,181040714,181040713,263729731,273366047,166181553,261770329,128445773,114561717,100531030,86569935,72971790,257575387,38920021,30333690,22932934,16698170,16698171,15012634,15012633,20894483,28017317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9700524, s2 = 11476048, dlinesl.size( ) = 2 s1 = 9700524, s2 = 11476048, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9700524, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 3335558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8384118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8384118, s2 = 14114945, int(edited[s2]) = 0 s1 = 8384118, s2 = 14114945, d1 = 90, d2 = 123 Dl.O(d1) = 261520087,260357048,259739254,107834046 Dl.O(d2) = 126210764,139585524,152314633,164197361,175012502,263428507,183274119,191850074,183274113,173466205,162423473,150287717,137247828,123517833,123517834,137247830,150287718,162423478,173466215,164197380,152314648,139585531,126210754,112350639,112350638,126210751,139585529,262157897,164197362,164197361,175012502,263428507,183274119,191850074,183274113,173466205,162423473,150287717,137247828,123517833,123517834,137247830,150287718,162423478,173466215,175012512,175012530,175012499,164197355,152314630,261086113,112350643,98368282,98368281,112350641,261637707,164197385,175012516,175012490,164197344,152314623,139585518,126210738,112350630,112350632,126210744,139585521,152314624,164197345,175012483,184612549,175012500,164197355,152314630,139585523,126210746,112350635,98368276,98368277,112350637,259285917,70902528,58189638,258025550,15250811,15143516,15143515,10516127,10506800,254584829,3252275,1918599,1096151,267771217,267745879,186436,186435,339612,610491,1087303,254265317,254233881,918977,518281,290697,290698,518283,918981,1615823,2785641,4625417,7324423,10522203,10522204,254719922,6928397,4355717,4355720,5378643,5378645,5592788,3469818,3307245,1945671,1111521,1111519,1111530,1945695,3307288,5378432,8333304,12335472,12683788,8615277,5600177,3476233,2062571,1183759,664938,368824,368825,664942,1183772,2062597,3476287,5600275,8615446,12683957,12683959,12335499,12335502,17494940,21274566,17891574,16494857,16494856,17891160,15316432,12672743,12672744,17891166,21113192,21113191,24285853,21216122,21216120,268066736,15527372,21038019,28235787,258025660,6798457,10330220,12325754,8326157,5373527,5373528,8326160,6841151,6841149,5941656,3715343,2224838,2224836,3715337,4852713,4852714,7669585,11529150,10319518,10319517,9081011,9081013,13299441,14948776,10282945,10282944,13276775,9061492,5924926,5924928,6778804,10307272,10414756,6865179,6865178,10414752,14947932,13296932,13296933,14998766,14032552,14032553,19586330,20877456,28045400,36509110 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9482063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9676266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13521869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164548, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8418856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6983563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6983563, s2 = 14888928, int(edited[s2]) = 0 s1 = 6983563, s2 = 14888928, d1 = 23, d2 = 47 Dl.O(d1) = 260955097 Dl.O(d2) = 72505924,86104658,100069973,114100671,127985336,141348120,272866619,176440336,185870574,263912675,207081265,201955958,195038311,195038312,201955960,207774918,212572066,216492662,212572009,212572010,216492664,219745124,219745157,265005708,207774905,201955950,195038321,186953281,186953280,195038320,186953281,177672474,177672475,186953279,186953278,195038317,201955976,207774940,207774923,201955961,201955963,207774924,212572072,216492755,219745161,219745162,222491156,219745219,216492790,212572107,207774945,201955980,195038322,186953282,186953279,186953278,195038317,201955976,207774940,207774923,207774922,264808415,216492734,212572057,207774916,201955956,263923746,186953275,195038313,201955965,201955930,195038298,186953265,186953264,195038296,201955926,264557025,216492666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6983563, s2 = 14888928, dlinesl.size( ) = 2 s1 = 6983563, s2 = 14888928, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6983563, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 6673938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6707925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3337242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3337499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842560, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6958019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8054467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6842669, s2 = 12610182, int(edited[s2]) = 0 s1 = 6842669, s2 = 12610182, d1 = 8, d2 = 18 Dl.O(d1) = 259113547,107950550 Dl.O(d2) = 85710672,99658601,113671478,127192873,113334394,99331995,254753888,254753890,113334396,113334386,113334388,127192866,255433826,99332002,99332001,113334403,255869198,255433824,268114380,254599532,4672871,2815234,2815235,4672872,7396834,11151999,16060921,22188303,254858752,39273340,255082830,29852010,25613583,25613582,33379003,25613692,19000324,13559718,9283576,9283575,13559717,19000322,25613398,33378688,31472650,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645961,17645963,17634794,12457461,12457460,17634790,23981488,30839083,23409663,23409662,30839077,23992328,17647810,17647809,23992325,31489688,40174888,39776926,31098682,31098684,39776936,46504522,36637246,36637244,41657688,41657687,38230778,29736911,29736910,38304868,48214866,59602089,49370137,49370136,60772380,60666848,49266501,39340553,39340552,40173822,40173821,40173807,36741596,36741595,269303633,268115002,25613641,19000297,19000298,25613643,33379099,38933926,30348264,22946893,16710499,11669409,11669410,16710501,22946896,20318898,20318899,23991488,23991487,31488702,35376474,33379115,33379114,42368080,50307243,255185960,39339602,255184196,72428697,84108156,70571415,57869561,57869562,58053660,50194565,40170747,31485626,30190579,22800584,16583588,254599676,30190574,30161151,22772565,22772564,30161149,38744188,42367549,33378667,25613390,25613391,33378658,31472645,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,8419819,8419816,12451507,17630165,23977173,23977174,29822964,22455783,16287616,254562592,29822958,38395310,39727880,31049041,31049040,255184916,41164704,39340622,30741651,23320990,23320991,30741656,39340629,49266574,51349840,51349839,49371017,40161640,31477070,31477072,39339867,30741073,23320641,23320638,30741061,36947199,28447298,21221060,15251843,10521967,10521966,15251840,21221055,28447286,36947177,40159901,40159900,50184376,40178515,38094539,29530750,22188192,22188191,29530748,38094534,39386263,30784186,23359156,23359157,30784189,39386273,48665933,38744097,38744096,46900772,37022983,29259622,29259624,28525299,21303521,15334613,15334614,21303526,28525309,36741882,29365888,22035313,15933777,11056614,11056612,11969799,8013543,8013542,8029342,8029343,8049425,5139891,3126177,3126178,5139897,5129502,5129501,3130801,1830239,1830240,3130788,3144877,1839536,1049788,590550,329421,181529,99652,99655,181538,329446,590610,1049912,1836742,1048151,254178305,1847151,1814198,1052539,1052537,1844503,3104854,5112672,3159419,3159418,3104813,1814176,1814178,3104817,5112623,8023575,8157919,5228771,3190562,3190563,5228776,8026300,8026301,5161411,3154979,1846256,1846257,3154981,5143600,5143598,8044489,5134523,5134525,5141115,5141116,5122061,3111929,3111931,5122066,3131964,1830926,1830927,3131971,5147207,5167564,5167563,254824125,8018113,8018114,11973063,8022934,5111858,3104167,3104166,3154456,3154457,5163829,3155212,1847988,1054636,1054639,1848004,1809173,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,5148662,5129522,3117930,1822219,1040220,1040222,1822224,1828762,1830778,1830777,1815463,1814319,1036026,1034181,582757,325781,179889,98916,254079747,325775,582744,1034154,1810778,1828132,1043417,1043418,254257097,2870271,1665800,947589,534250,534251,947586,1665792,1827857,3126787,3149704,3149705,5167483,8063266,7528444,4761642,4761641,5145027,5145030,5168449,5112111,3104395,3104397,4762718,2870964,2870633,1666026,1666025,2870671,4762296,7529080,11331572,8018855,254563198,3100951,5107519,7975417,5075270,254252554,11921121,17007658,17028908,11943827,11943826,254121330,8040148,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327188,12133927,11917856,8164087,8164090,11903597,11903598,10588562,6984864,4388923,4388922,6984861,7116960,7116961,10771416,15572178,11530488,11530487,16543991,268647737,18695536,13302427,9084010,5941598,3715310,3715312,3716350,3716349,5943242,6108329,6108330,4244420,2537738,1462310,827670,827671,1462315,2537749,3719124,5947124,4292435,4292436,6237639,6237637,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822575,6822573,10358559,10357394,8600129,8600128,12662510,10357255,10357254,254714649,4293840,2567170,1478131,1478136,2567177,4293858,5954165,3723550,2229464,2229465,3723554,3723609,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,9647477,14032424,19586217,26311122,34182648,43279159,53804067,258072834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6842669, s2 = 12610182, dlinesl.size( ) = 2 s1 = 6842669, s2 = 12610182, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6842669, Dl.E( ) = 22, 1.5e-05 seconds used appending s1 = 3595384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3595384, s2 = 3535534, int(edited[s2]) = 0 s1 = 3595384, s2 = 3535534, d1 = 19, d2 = 3 Dl.O(d1) = 122410367,117481390,259096590,257849742,256177316,26548050,34513180,43752617,53988006,53988007,43481367,34354780,34354781,43481372,54045353,62598192,55058294,44227392,34873367,26817014,19953641,19953643,19955017,14289172,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,23494106,17207416,17207417,23494055,23496236,23496240,30941527,39563269,41719479,41719480,52033895,49549237,39587189,39587186,255933982,255933980,101349889,257557104,259413934,122417107,262319913,129283789,115365901,269682162,258229529,258511441,268815005,256730287,257892335,80419175,83817452,72583587,61099540,49644786,49644782,49649703,49552593,49508100,49508101,45017377,35541726,27379222,27379223,35541730,45017390,54256099,43617242,34432634,30143269,30143272,38724289,34433171,26505368,19756715,19756718,26544375,34505925,34343365,26456842,26456846,34343373,34492824,34492827,43718810,54407192,51676863,41432810,41432809,51676857,54835380,54835378,65234467,65234468,60877020,54562996,43823851,34555425,26571227,26571229,34555435,43595195,45719464,45719461,45719627,45719576,45719574,54451886,66678278,65981538,54061024,43491469,43491467,41261529,41261531,46245992,57577618,70256115,83776495,97639019,94249336,80182460,66756666,257281877,34537423,43792475,54515110,66756665,66729538,66729539,80155547,94227119,261532145,259178512,94555520,80502016,67062675,258513307,66520710,54333773,256716623,19746254,19746255,26523087,26523101,34466566,43672722,54333799,60881313,49476340,49476342,39619290,257041355,30976896,23515304 Dl.O(d2) = 118031494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3595384, s2 = 3535534, dlinesl.size( ) = 2 s1 = 3595384, s2 = 3535534, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3595384, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 14165370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3595605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3595863, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8377334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8377334, s2 = 8335338, int(edited[s2]) = 0 s1 = 8377334, s2 = 8335338, d1 = 48, d2 = 54 Dl.O(d1) = 254304403,6130255,9358843,6131919,6131920,9306314,9306313,254492323,2599382,2599381,3823687,3823688,6111087,9329258,9302314,9302312,13585575,17542036,12373039,12373038,9289869,6085564,3807757,3807759,6085570,6118397,3828112,2293470,2293469,3828109,6113738,9333697,13630906,14330786,19107336,19107337,17842408,12634932,12634933,13547444,9364600,9364599,13616833,13624382,13624398,9329352,9329350,13624389,17446260,12297884,8305794,8305793,12297880,255559065,31261122,268397110,20990643,19084614,19084613,25712381,23984617,23984618,28171542,25661753,19042515,13593291,10015221,6582538,6582541,10015229,14555252,14554995,13791044,13791041,16264845,13587797,13587795,19035744,25654613,19035783,13587822,9303903,6094591,6094589,9303893,13587806,19035764,15104369,15104368,255803063,31753548,31753547,33430108,33430107,256381878,256236067,19092390,268302779,33501203,25758480,19119827,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,13568359,19011068,19009680,13567327,9289190,9289189,13567323,19009677,19077845,13620206,10015271,6582564,4124225,4124226,6582573,10015296,14555374,20285381,18998807,13558496,267976529,7507667,11307990,9367104,6135579,3838569,2299640,254304641,6135569,9367084,13678409,17417451,12276147,8290577,8290578,12276149,12276178,17417487,23742039,31225370,31763457,40457890,50493843,61985874,74782233,88413863,102414394,116510045,262065365,122887174 Dl.O(d2) = 122292106,261522493,261559260,93449508,107877696,122292100,136266862,136266866,262550955,149530776,136266871,260359125,93449510,79318713,65954907,269145353,19652521,14086452,14086451,19652520,26386958,34264378,43364213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8377334, s2 = 8335338, dlinesl.size( ) = 16 s1 = 6871277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9202832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9106041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8601322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3597742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3341630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3341630, s2 = 9245991, int(edited[s2]) = 0 s1 = 3341630, s2 = 9245991, d1 = 1, d2 = 5 Dl.O(d1) = 108661202 Dl.O(d2) = 205336108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3341630, s2 = 9245991, dlinesl.size( ) = 2 s1 = 3341630, s2 = 9245991, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3341630, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 3060728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9138360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9346195, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3599168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3344895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3344895, s2 = 3833926, int(edited[s2]) = 0 s1 = 3344895, s2 = 3833926, d1 = 19, d2 = 17 Dl.O(d1) = 80397335,94456638,108749795 Dl.O(d2) = 136849452,149982881,162190189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3344895, s2 = 3833926, dlinesl.size( ) = 20 s1 = 3601176, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3601591, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3601593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3159933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7826847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9062478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9062478, s2 = 9022931, int(edited[s2]) = 0 s1 = 9062478, s2 = 9022931, d1 = 28, d2 = 49 Dl.O(d1) = 254116722 Dl.O(d2) = 181063752,268338258,173475885,268175278,181063750,170951437,170951438,268338258,255745134,162433397,268175278,181063750,170951437,257310804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9062478, s2 = 9022931, dlinesl.size( ) = 28 s1 = 6793998, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9737648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7674202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7674202, s2 = 10187151, int(edited[s2]) = 0 s1 = 7674202, s2 = 10187151, d1 = 0, d2 = 0 Dl.O(d1) = 272089923,95087808,260392963,259152265,67560057,257902589,55216471,67560060,259780169 Dl.O(d2) = 272089923,95087808,260392963,259152265,67560057,257902589,55216471,67560060,259780169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7674202, s2 = 10187151, dlinesl.size( ) = 2 s1 = 7674202, s2 = 10187151, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7674202, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10339559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8363170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8363170, s2 = 2309773, int(edited[s2]) = 0 s1 = 8363170, s2 = 2309773, d1 = 102, d2 = 128 Dl.O(d1) = 137270696,123539604,109347972,258238076,67567612,55224633,44373852,34995657,255995946,55224636,67567616,258238080,109348004,123539662,260212320,133244319,133244284,123539614,109347978,109347977,123539612 Dl.O(d2) = 50401065,40365801,31671099,31671100,40365802,257009680,74685227,257590378,61891589,74685224 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3603460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3066850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8534942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8534942, s2 = 10344591, int(edited[s2]) = 0 s1 = 8534942, s2 = 10344591, d1 = 24, d2 = 23 Dl.O(d1) = 257551628,50292749,50292750,50464815,61772539,61772540,74556118,258291689,50464851,40427126,40427125,40427128,40427127,256704496,74760724,258476596,102395012,88394588,74760764,61960729,50464838,50464837,258127088,255898902,254771220,25364342,255460378,42720313,33690158,255692297,13732674,13732673,19223975,25883516,33690152,269390010,59076042,258094781,51091462,51091461,62723442,58298582,51091362,40947948,40947949,43877268,34606622,34606621,43877266,268928346,32168268,32168267,29191623,26618597,19809170,14189236,9754151,6413461,6413462,9754152,14189240,19809173,256199557,32168328,32168288,24582467,24582468,32168290,40947984,32168308,32168309,268706819,24582449,18138940,18138939,24582447,32168260,32168275,40947964,51091377,51091383,51091380,59076045,71817477,75669852,89433107,258328425,51091517,40948075,32168353,32168352,40948072,51091513,258328423,66877548,258953901,62723362,51091398,40947988,32168293,32168292,40947986,47421663,257468329,71537995,85109417,99034324,113022308,126874325,140220910,127209485,261130502,270451281,75669820,75669822,89433114,89433203,89433130,75669842,75669840,89433127,89433135,75669844,75669843,89433131,103529057,258248102,257056416,48163765,48163766,59550411,72284647,258248106,85876755,85876754,99830658,260598679,94363839,80307156,66877539,54619661,54619662,66877543,80307160,80307137,66877532,66877531,80307133,80307150,80307147,94363833,108651966,122917152,127717711,113846731,99830673,85876773,72284657,59550417,48163770,38254551,268437662,59550413,72284651,85876758,94363853,108651972,122917157,136749171,259911348,122917158,115780339,101735274,101735276,115780344,129676868,134834119,121034793,106779983,106779981,108651946,94363815,80307123,80307122,94363814,106779998,92473494,78436776,65154491,65154490,65154496,258442937,92473496,104184000,116457856,117661685,103529068,89433150,75669859,62723418,51091444,40948027,40948020,32168317,32168318,40948021,51091436,258328413,89433169,259935870,131466004,122957628,108692130,94404983,80350722,80350723,78897615,78897616,93007127,269317870,133503491,119631753,105395755,105395754,119631751,259520000,146850618,133592590,133592592,141229367,127870368,113992196,113992195,261186389,153901111,155224984,142587062,129215474,261261727,129215472,142587059,133592598,119717786,119717785,133592594,146850624,272588840,165677086,165677083,165677082,176344482,185788273,180614079,180614077,170476112,170476111,166911202,166911203,262225228,194867007,186759828,177451080,262183206,142587067,129215477,115286704,101207929,101207928,115286701,261261729,261253462,146850621,155921579,155921569,155921570,167534792,173167493,162065103 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8534942, s2 = 10344591, dlinesl.size( ) = 2 s1 = 8534942, s2 = 10344591, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8534942, Dl.E( ) = 26, 2.69e-05 seconds used appending s1 = 8012595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7678229, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3604189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4154135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4154135, s2 = 3823949, int(edited[s2]) = 0 s1 = 4154135, s2 = 3823949, d1 = 39, d2 = 35 Dl.O(d1) = 155473198,273739596,262320710 Dl.O(d2) = 135961967 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2119121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6558826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6558826, s2 = 11246060, int(edited[s2]) = 0 s1 = 6558826, s2 = 11246060, d1 = 52, d2 = 0 Dl.O(d1) = 255952856,5594362,3470844,3470843,5594358,8608798,12676455,17896028,24276193,29794410,29794409,38367120,48278658,59666499,257531736,258764730,260007890 Dl.O(d2) = 95125032,258526531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6558826, s2 = 11246060, dlinesl.size( ) = 42 s1 = 7979399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6844765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8565263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349650, s2 = 10344269, int(edited[s2]) = 0 s1 = 10349650, s2 = 10344269, d1 = 78, d2 = 60 Dl.O(d1) = 269504959,272164420,32053161,24487396,24487395,256572023,257707067,270963787,272317309,125453402,111650875,259267532,257405946,257385619,70345909,78838842,256097788,43005989,33949717,33949716,43005986,43000660,33944835,26109109,19417072,19417074,26109112,27886198,20922042,15014926,10343438,6809638,4270964,4270962,6809632,10343426,15014900,20921999,28097121,36568003,46432571,42805256,36568067,28097169,28097170,268905031,57787946,70488716,78831429,65499811,65499812,57787952,57787954,70488724,78831426,91789889,77867259,77867260,91789892,270854519,72667157,59927036,59927037,270335503,259272461,70726463,70726462,84278866,98175128,112137800,119718819,117639279,103509441,89415756,75654223,62709234,62709235,75654225,89415758,98175121,93392916,79266565,79266566,93392917,98175119,84278860,70726459,58010672,46635975,36749143,36749144,46635977,58010676,70726468,84278874,79151641,269567043,53740477,65796432,258324530,98175123,84278863,84278864,98175125,91240729,91240732,105463528,119703124,131440015,139327122,259622562,105500382,91278247,91278246,79353458,72491421,72491422,86088606,260014485,127957372,271348813,100232800,114265119,126539814,112677434,259306883,84756194,98683252,112677433,105463527,269523514,259062712,107347286,258322516,53481458,43004298,43004300,46635967,38473447,38473446,256575458,28253948,256599568,19419340,19419339,26111981,33948256,43004303,53481462,65504152,259089059,106585863,92287793,78261028,78261027,78836057,262036355,139089420,125748520,111928586,261620439,261351476,117394541,258942076,81199956 Dl.O(d2) = 29795224,22429042,16261988,16261989,22429044,29795229,38367931,48279404,272855497,263266628 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3154727, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3350689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3350689, s2 = 11396467, int(edited[s2]) = 0 s1 = 3350689, s2 = 11396467, d1 = 162, d2 = 128 Dl.O(d1) = 109408456,260990595,262084013,262554258,191906780,199275693,263415966,263027287,173542629,183340838,183340839,173542632,162507225,150374859,137333125,137333124,150374857,273056895 Dl.O(d2) = 164158364,152272909,261005730,126165444,126165443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3350689, s2 = 11396467, dlinesl.size( ) = 2 s1 = 3350689, s2 = 11396467, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3350689, Dl.E( ) = 164, 4.1e-05 seconds used appending s1 = 8342917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3350948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9504406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8126022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8126022, s2 = 14114332, int(edited[s2]) = 0 s1 = 8126022, s2 = 14114332, d1 = 33, d2 = 37 Dl.O(d1) = 257227624,27110316,27110317,33048374,27110324,20209365,14501782,9978802,6558759,4108993,2457883,1420858,1420856,2457891,4109011,6558796,8390126,5414187,3328149,1957265,1118001,627274,627278,1118013,1957288,3328190,5414261,8390252,12413727,17586761,19191805,14502097,12413623,12413624,17586619,17587320,23929195,31419300,258203870,49988352,39972525,39972524,49988351,61465666,58406358,47033956 Dl.O(d2) = 59546266,59546267,256942761,29685081,22333104,22333103,29685062,22333100,255088193,7468613,7468615,255088195,16186208,11251149,11251148,16186206,22333078,29685052,38250108,255904395,16186214,11251153,7468610,4719805,2843488,2843489,4719808,7468617,11251160,255465627,268636281,22333083,16186209,255465621,29685057,22333097,255088191,11251155,16186218,22333095,256400721,256942755,29685064,29685063,29685070,29685069,38250126,48159297,48159296,59546290,59546296,72280767,85872820,99826541,85872817,85872818,271336721,270841799,72280758,72280759,85872812,99826535,113842408,113842417,113842416,127713189,141064190,127713194,113842420,260598271,127713171,127713169,127713170,141064176,260598265,113842404,127713173,127713187,127713186,141064188,135722336,121782063,107397479,107397475,107397476,259899960,116565956,102466909,88463162,258297471,257105153,31811025,31811024,40506574,50541826,258297469,88463160,270577589,65540311,78875441,78875442,78875438,65540310,53516274,43038055,43038054,53516272,65540306,78875434,271098321,135722341,121782078,107397487,92987037,271098323,92987036,270283718,121782076,121782074,107397486,92987034,78875437,78875436,92987032,107397482,121782071,135722350,148961350,261081050,135722354,148961356,261632924,148961354,135722353,135722352,260502004,135722343,121782068,121782069,135722345,130405807,130405806,143731656,261081048,135722348,135722347,148961348,161266422,262153272,172465473,172465470,273094716,198607574,198607578,191118195,191118196,191118191,191118192,263482184,210212105,210212106,210212107,210212104,204952867,204952866,210212102,214511985,218046994,264716828,274062663,204952869,210212109,214511988,214511981,210212100,210212098,214511979,218046987,221011437,264716826,214511982,214511983,218046990,218046989,218046985,218046984,221011434,274321059,223546502,265357342,274264478,221011438,223546501,223546499,265164206,227659369,274400434,265533096,227659372,229338062,227659371,265357344,225743778,274336530,229338060,230826650,232157022,266095094,235436649,236341118,266208318,266208320,233443068,234524776,235510374,236409619,236409618,237230848,237167485,236341122,266637203,236409620,236409621,237230850,237978636,237920004,237920003,237167483,266707497,239229859,266836122,266836119,239805272,239229861,238604061,238604060,266722084,238658473,239281540,239854559,239854560,274808006,238658475,239281544,239805268,239281542,266836121,240337404,239805270,239281546,266712500,274808008,266567538,235510379,234524783,234524784,235510354,266485815,236409623,235510377,235510378,236409625,266642678,236409612,235510361,234524763,233443058,266078052,229459892,227802207,225913923,265670919,229459889,266078057,266078058,230932567,266078060,230932568,266193023,274584846,230932571,232252131,266298541,266298538,265953964,229459890,230932566,265818632,225913921,223749198,265136622,199253694,263025078,262573492,167259244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8126022, s2 = 14114332, dlinesl.size( ) = 2 s1 = 8126022, s2 = 14114332, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8126022, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 6792593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9237984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6821186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6821186, s2 = 8199254, int(edited[s2]) = 0 s1 = 6821186, s2 = 8199254, d1 = 12, d2 = 3 Dl.O(d1) = 258861038 Dl.O(d2) = 81132053,254835256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6821186, s2 = 8199254, dlinesl.size( ) = 18 s1 = 8281676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13343223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3841054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8335339, s2 = 8377335, int(edited[s2]) = 0 s1 = 8335339, s2 = 8377335, d1 = 32, d2 = 20 Dl.O(d1) = 52503605,44523152,35146716,27061142,20167347,20167348,27061143,269145352,81174314,95230315,109483999,260359124,150445569,162573741,161835597,149530772,137406417,123675588,123675587,137406416,150445565,150445566,150445568,150445569,162573741,161835597,149530772,137406417,123675588,109483998 Dl.O(d2) = 91413763,91505527,77574582,64406669,52533620,42176122,33217557,25470785,18870461,18870460,25470783,33217555,25769882,19129937,19129938,23296837,23296838,30713478,25801980,254304640,25897203,33703500,41759715,40471467,40471466,33764287,267976528,19291337,25955704,33764282,37378855,37378856,31758665,24246859,17870133,12654751,8591797,8591798,12654754,17870141,24246871,25895585,25895586,24246752,18580441,13204109,9001277,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927368,25539730,33301896,268302778,59313984,256236066,256381879,36693345,46579667,44435961,35061950,255803062,14403787,14403788,20090293,26978757,35061954,29442574,29442575,27213210,27213211,30038906,22663306,22663305,30038900,31640439,33298842,33216847,25470089,18869941,18869938,21673809,18580077,18580074,25133511,25133510,26156713,29320114,37888487,38005380,37885791,29316886,21988542,15892030,15892029,268397111,37885787,255559064,28950832,21670995,21670996,26158318,19458821,13925705,13925707,19458829,19459819,19459821,26159505,28329029,21118540,15171627,15171628,16407455,21118257,15171473,15171472,21118253,19432741,13904637,13904638,19432747,25815406,20114315,14424976,9922789,9922788,13743027,13743025,19235819,25895842,31579938,26161303,19461284,19461283,21991491,15893988,13927416,13927419,11018280,11018279,15892465,15892466,254492322,21990930,15893643,11018056,7294236,4600125,2767654,254304402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8335339, s2 = 8377335, dlinesl.size( ) = 8 s1 = 6942182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6942182, s2 = 6986471, int(edited[s2]) = 0 s1 = 6942182, s2 = 6986471, d1 = 63, d2 = 147 Dl.O(d1) = 260405079 Dl.O(d2) = 273456788,262089347,137407781,123677255,109485934,260996659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6942182, s2 = 6986471, dlinesl.size( ) = 70 s1 = 6845759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344268, s2 = 10349651, int(edited[s2]) = 0 s1 = 10344268, s2 = 10349651, d1 = 31, d2 = 61 Dl.O(d1) = 263266629,272855496,49967023,39950197,31275211,23789519,17458226,12307477,12307478,17458228 Dl.O(d2) = 24487382,24487380,28552418,32053171,24487402,18064094,12807021,12807020,18064091,24487394,32053157,34202486,32685340,25005938,18479217,13128266,13128267,18479220,256097789,41582847,51875524,257385618,257405947,259267533,111927321,125747287,272317308,270963786,257707066,256572022,28097182,28097183,36568082,272164421,269504958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3356271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3356915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3356915, s2 = 8995630, int(edited[s2]) = 0 s1 = 3356915, s2 = 8995630, d1 = 0, d2 = 17 Dl.O(d1) = 109567816 Dl.O(d2) = 225966522,227849995,229504342,266081931,232291314,233480799,234561101,235544635,236440633,237258314,238002863,266779119,239301575,239873272,240401246,240891017,241344610,241764781,242152863,242512583,242847117,243158734,243451044,243722910,243974328,244207782,244424251,244207786,243974331,267259980,267241363,243974329,244207784,244424254,244625685,244813659,267398689,244990644,244990614,244813654,244625682,267360311,244813664,244625689,267333068,267317369,244625690,244813667,244990627,245157141,245313105,245313104,267444256,245157135,245157134,267428058,244990636,244813674,244813673,244990608,244990610,267416495,245459802,245598119,245726822,267459486,245157111,244990604,267398687,245313102,245157139,244990625,244813665,244625689,267333068,267317369,274987803,244424243,244207779,244207780,244424247,244625679,267380179,245157118,245313103,245313102,245157139,245157138,245313125,245157148,244990636,244813674,244625693,244625694,244813675,267398693,244990614,244990613,275002812,244813666,244813667,244990627,245157141,245313105,245313104,267444256,245157135,245157134,267428058,244990636,244813674,244813673,244990608,244990610,267416495,245459802,245598119,245726822,267459486,245157111,244990604,244813650,244813649,244990603,245157109,244990626,244990627,245157141,245313105,245313104,267444256,245157135,245157134,245313095,245157101,244990597,244813643,244625672,244625673,244813645,244813639,244813640,267398683,244990603,267411060,244424238,267310498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3356915, s2 = 8995630, dlinesl.size( ) = 2 s1 = 3356915, s2 = 8995630, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3356915, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 10341622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9465971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3612586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3612586, s2 = 2442154, int(edited[s2]) = 0 s1 = 3612586, s2 = 2442154, d1 = 10, d2 = 0 Dl.O(d1) = 123769214 Dl.O(d2) = 67795725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3612586, s2 = 2442154, dlinesl.size( ) = 2 s1 = 3612586, s2 = 2442154, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3612586, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 9181808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3358630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7643378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7643378, s2 = 6971506, int(edited[s2]) = 0 s1 = 7643378, s2 = 6971506, d1 = 0, d2 = 0 Dl.O(d1) = 270664279,260412551,130611331,260766732,102693834 Dl.O(d2) = 270664279,260412551,130611331,260766732,102693834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7643378, s2 = 6971506, dlinesl.size( ) = 2 s1 = 7643378, s2 = 6971506, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7643378, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14165170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165170, s2 = 11238020, int(edited[s2]) = 0 s1 = 14165170, s2 = 11238020, d1 = 24, d2 = 18 Dl.O(d1) = 438372,441978,779151,1368223,2362996,3946672,254453535,3846418,3998487,3989727,254665583,6190370,254942939,254959303,9704387,6383116,6383117,9704103,9704102,254957855,6368842,6368843,254668547,254668545,8977297,5860768,3658767,2188905,2188904,3658764,3898119,2362499,1368018,779085 Dl.O(d2) = 261045704 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6896179, s2 = 10354651, int(edited[s2]) = 0 s1 = 6896179, s2 = 10354651, d1 = 6, d2 = 6 Dl.O(d1) = 259804397,95534611,109743917,261005875,262096647,162686053,173699559,183481331,264137347,210762575,264137348,199389519,205613956,210762577,264929981,218427055,215236778,264450621,199858057,263473993,174498336,163665238,151790240,139086715,125745823,111926023,260488299,139086717,261067459,97986857,84112180,259703277,65205340,65205342,257790698,57875431,46519946,46519945,258016205,72450579,70575989,57875197,57875198,70575991,257695182,70576254,257111744,57875372,256826535,256826533,28177109,20995601,20995602,256288227,36652996,36653068,28177367,28177342,28177129,28177063,28177062,36652776,28177320,28177319,36653034,36652767,28177052,28177051,28177314,28177313,36653023,28177322,268200043,10402477,6857262,4303471,4303472,6857266,10402485,15081448,20995788,28177344,28177277,28177108,20995600,15081299,10402391,6857218,4303449,4303448,6857214,10402385,15081290,15081413,15081414,20995619,20995618,15081472,10402497,10402496,15081306,15081307,20995616,28177130,20995772,20995773,20995625,15081404,10402459,6857254,6857253,10402457,15081400,20995730,20995784,15081445,255373945,28177338,28177343,36652800,36652809,46519768,46519755,46519756,36653056,28177355,20995805,20995804,28177054,255373909,255011533,6857222,4303451,4303452,6857223,10402399,15081309,20995623,28177133,256826523,36653070,257178699,256109497,25241229,32962715,41657229,33177820,33177819,33177657,33177655,32746748,25055627,25055626,32746746,32746707,25434287,18839241,18839240,25434279,254561556,255138364,33177889,33177888,32746754,25055634,18517921,255640403,25434225,33177774,257197121,64365294,77533301,72239723,62485976,50886656,50886655,59472926,63780637,51964940,41657108,32746650,25055556,25055557,32746653,41657114,51964955,63780653,76890952,76890972,76890968,63780667,51964968,41657123,32746659,32746658,41657119,51964966,63780665,59472991,258126131,259029217,85804946,89151204,103241196,104236543,90103710,76290201,76290085,63269477,63269478,59700685,48313807,38403039,38403040,48313811,59700688,72436555,72436556,63115429,51418630,51418631,63115431,76120894,89926934,85651287,72436585,59700701,59700703,72436587,75404122,75404123,257734550,51755409,41485331,32606493,32606494,41485334,51755413,63269604,51551891,41329771,41329772,32482442,24840894,24840893,268701528,32482280,32482279,40769281,41329589,32482274,32482273,41329588,41329782,41329781,47389771,47389772,42172396,33212804,33212805,31912872,24381037,24381038,31912875,40513700,40513699,50549546,50889405,40773398,40773399,40773394,36422455,27964094,27964095,36422457,41329718,32482356,24840841,24840840,32482351,41329710,51551829,63269547,76289913,63269248,51551515,41329453,41329454,51551517,256600601,24840750,24840749,24840744,18345578,18345579,24840747,32173374,32173373,40952901,39312939,30714904,23297912,23297913,30714906,39312942,256083476,73386538,87001664,91851645,77927258,64736166,52820375,52820376,258423957,72810055,64736187,259051059,91851615,77927203,77927202,91851613,91851647,91851648,91851667,91851625,77927222,64736128,52820347,42418796,33428034,25659653,25659654,33428037,42418803,33428058,30709187,30709188,255678533,13591851,13591850,19040618,268497755,42418808,52820361,64736145,60817839,49776177,49776176,48676679,48582544,48582543,49417929,39488299,30882307,30882306,39488297,49417925,55691407,46981312,37097649,37097648,46981310,58350740,55691465,55691464,55691422,44784130,35360379,35360380,44784132,55691396,58350678,71067013,71067010,64736204,52820403,51755274,51755275,49776174,49776175,44784120,44784119,46981251,37097617,28591041,21359503,21359502,267808096,32905714,41830904,52149509,46981254,37097619,37097620,30172385,30172387,38755157,48676655,48111639,38200400,29633567,29633566,38200399,256184704,38135156,38135157,38755189,30172418,22783737,16568046,11549268,254544601,2929695,1699362,966207,966209,1699366,2929698,267832799,2929029,1699064,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,2934126,1701698,1701696,2934123,4869236,7593084,7593082,7610450,11444220,16429015,22031846,16422407,16422406,22605316,16422330,11438493,7605997,4896537,4896536,7734199,11614801,11553303,11553304,16572278,15021557,10349155,10349154,11629263,11629264,11453539,7618229,4820093,2904631,254360797,7618233,9118416,5966251,3730888,2233656,1295315,1295316,2233661,3730901,4739000,4738998,4813419,2900810,2900813,4813428,7608548,11441953,7746710,4905640,4905638,4905596,4905594,7746635,11437306,7605049,7605048,11437303,255482287,29969121,38535085,256053783,17958342,12725945,8647152,5624094,3494205,2075962,1192828,1192827,254620109,12725906,255600415,30088995,255489599,11745469,7841816,7841815,11745463,12732850,8652224,8652225,12732853,17967463,22707121,16502932,16502933,22707122,16798681,11745630,11745629,16798680,16798692,11745638,11745637,16798689,23044370,16798696,16502923,11499050,11499049,16502921,22707104,29971640,254884378 Dl.O(d2) = 259804397,95534611,109743917,261005875,262096647,162686053,173699559,183481331,264137347,210762575,264137348,199389519,205613956,210762577,264929981,218427055,215236778,264450621,199858057,263473993,174498336,163665238,151790240,139086715,125745823,111926023,260488299,139086717,261067459,97986857,84112180,259703277,65205340,65205342,257790698,57875431,46519946,46519945,258016205,72450579,70575989,57875197,57875198,70575991,257695182,70576254,257111744,57875372,256826535,256826533,28177109,20995601,20995602,256288227,36652996,36653068,28177367,28177342,28177129,28177063,28177062,36652776,28177320,28177319,36653034,36652767,28177052,28177051,28177314,28177313,36653023,28177322,268200043,10402477,6857262,4303471,4303472,6857266,10402485,15081448,20995788,28177344,28177277,28177108,20995600,15081299,10402391,6857218,4303449,4303448,6857214,10402385,15081290,15081413,15081414,20995619,20995618,15081472,10402497,10402496,15081306,15081307,20995616,28177130,20995772,20995773,20995625,15081404,10402459,6857254,6857253,10402457,15081400,20995730,20995784,15081445,255373945,28177338,28177343,36652800,36652809,46519768,46519755,46519756,36653056,28177355,20995805,20995804,28177054,255373909,255011533,6857222,4303451,4303452,6857223,10402399,15081309,20995623,28177133,256826523,36653070,257178699,256109497,25241229,32962715,41657229,33177820,33177819,33177657,33177655,32746748,25055627,25055626,32746746,32746707,25434287,18839241,18839240,25434279,254561556,255138364,33177889,33177888,32746754,25055634,18517921,255640403,25434225,33177774,257197121,64365294,77533301,72239723,62485976,50886656,50886655,59472926,63780637,51964940,41657108,32746650,25055556,25055557,32746653,41657114,51964955,63780653,76890952,76890972,76890968,63780667,51964968,41657123,32746659,32746658,41657119,51964966,63780665,59472991,258126131,259029217,85804946,89151204,103241196,104236543,90103710,76290201,76290085,63269477,63269478,59700685,48313807,38403039,38403040,48313811,59700688,72436555,72436556,63115429,51418630,51418631,63115431,76120894,89926934,85651287,72436585,59700701,59700703,72436587,75404122,75404123,257734550,51755409,41485331,32606493,32606494,41485334,51755413,63269604,51551891,41329771,41329772,32482442,24840894,24840893,268701528,32482280,32482279,40769281,41329589,32482274,32482273,41329588,41329782,41329781,47389771,47389772,42172396,33212804,33212805,31912872,24381037,24381038,31912875,40513700,40513699,50549546,50889405,40773398,40773399,40773394,36422455,27964094,27964095,36422457,41329718,32482356,24840841,24840840,32482351,41329710,51551829,63269547,76289913,63269248,51551515,41329453,41329454,51551517,256600601,24840750,24840749,24840744,18345578,18345579,24840747,32173374,32173373,40952901,39312939,30714904,23297912,23297913,30714906,39312942,256083476,73386538,87001664,91851645,77927258,64736166,52820375,52820376,258423957,72810055,64736187,259051059,91851615,77927203,77927202,91851613,91851647,91851648,91851667,91851625,77927222,64736128,52820347,42418796,33428034,25659653,25659654,33428037,42418803,33428058,30709187,30709188,255678533,13591851,13591850,19040618,268497755,42418808,52820361,64736145,60817839,49776177,49776176,48676679,48582544,48582543,49417929,39488299,30882307,30882306,39488297,49417925,55691407,46981312,37097649,37097648,46981310,58350740,55691465,55691464,55691422,44784130,35360379,35360380,44784132,55691396,58350678,71067013,71067010,64736204,52820403,51755274,51755275,49776174,49776175,44784120,44784119,46981251,37097617,28591041,21359503,21359502,267808096,32905714,41830904,52149509,46981254,37097619,37097620,30172385,30172387,38755157,48676655,48111639,38200400,29633567,29633566,38200399,256184704,38135156,38135157,38755189,30172418,22783737,16568046,11549268,254544601,2929695,1699362,966207,966209,1699366,2929698,267832799,2929029,1699064,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,2934126,1701698,1701696,2934123,4869236,7593084,7593082,7610450,11444220,16429015,22031846,16422407,16422406,22605316,16422330,11438493,7605997,4896537,4896536,7734199,11614801,11553303,11553304,16572278,15021557,10349155,10349154,11629263,11629264,11453539,7618229,4820093,2904631,254360797,7618233,9118416,5966251,3730888,2233656,1295315,1295316,2233661,3730901,4739000,4738998,4813419,2900810,2900813,4813428,7608548,11441953,7746710,4905640,4905638,4905596,4905594,7746635,11437306,7605049,7605048,11437303,255482287,29969121,38535085,256053783,17958342,12725945,8647152,5624094,3494205,2075962,1192828,1192827,254620109,12725906,255600415,30088995,255489599,11745469,7841816,7841815,11745463,12732850,8652224,8652225,12732853,17967463,22707121,16502932,16502933,22707122,16798681,11745630,11745629,16798680,16798692,11745638,11745637,16798689,23044370,16798696,16502923,11499050,11499049,16502921,22707104,29971640,254884378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896179, s2 = 10354651, dlinesl.size( ) = 2 s1 = 6896179, s2 = 10354651, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6896179, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 3361603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3361824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3280032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8415767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3363479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3363479, s2 = 3743140, int(edited[s2]) = 0 s1 = 3363479, s2 = 3743140, d1 = 13, d2 = 16 Dl.O(d1) = 109867774 Dl.O(d2) = 129789681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3363479, s2 = 3743140, dlinesl.size( ) = 14 s1 = 6631408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3563377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6847520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6847520, s2 = 14165009, int(edited[s2]) = 0 s1 = 6847520, s2 = 14165009, d1 = 13, d2 = 14 Dl.O(d1) = 259205521 Dl.O(d2) = 261296266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6847520, s2 = 14165009, dlinesl.size( ) = 2 s1 = 6847520, s2 = 14165009, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6847520, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 7025107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3365279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3365279, s2 = 14140560, int(edited[s2]) = 0 s1 = 3365279, s2 = 14140560, d1 = 95, d2 = 96 Dl.O(d1) = 111529648,125348618,138688507,151396403,163282987,174138058,183810774,192290793 Dl.O(d2) = 259594158,157530426,168993454,179279692,188330316,196212903,202956440,208608478,213253611,217055032,220213089,222887601,265070116,226320961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3365279, s2 = 14140560, dlinesl.size( ) = 12 s1 = 6847880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9333377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3366409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3366409, s2 = 10159300, int(edited[s2]) = 0 s1 = 3366409, s2 = 10159300, d1 = 14, d2 = 71 Dl.O(d1) = 111616695 Dl.O(d2) = 4353047,4353046,6928881,10507661,268203499,28418833,36916711,46794504,258657177,98343280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3366409, s2 = 10159300, dlinesl.size( ) = 18 s1 = 9356632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9356632, s2 = 7772696, int(edited[s2]) = 0 s1 = 9356632, s2 = 7772696, d1 = 1, d2 = 1 Dl.O(d1) = 199617706,192312698,183833774,174163700,163313301,151434934,138739536,125416114,111617430,97699084,83841719,257994111,46282399,46282400,257994113,70317112,83841720,97699085,260464961,261044327,151434936,163313302,174163702,183833775,192312700,199617707,264438673,210911877,215087534,218523699,221413436,223890691,226038849,227912724,229560263,231023914,232336224,233522183,266402555,236474346,237289559,237972796,237223979,274728860,229449591,265669613,221235375,273882204,109323786,260679800,269189449,34967001,34967000,44344524,55195362,67539524,81009446,95068716,258778831,59860889,48469871,38557156,38557157,48469873,59860890,72598532,86195825,86195822,86195823,100158465,271813819,141440893,137428284,137428285,137428264,271171684,95251837,95251836,109506173,123698092,137428299,150465712,162591438,166608762,154911211,142279170,128928526,128928527,142279172,154911209,146278703,146278702,146278704,158647307,170006105,167843172,261127970,130401855,116561814,116561811,116561810,259949782,143727734,261127968,154274590,154274589,155506384 Dl.O(d2) = 199617706,192312698,183833774,174163700,163313301,151434934,138739536,125416114,111617430,97699084,83841719,257994111,46282399,46282400,257994113,70317112,83841720,97699085,260464961,261044327,151434936,163313302,174163702,183833775,192312700,199617707,264438673,210911877,215087534,218523699,221413436,223890691,226038849,227912724,229560263,231023914,232336224,233522183,266402555,236474346,237289559,237972796,237223979,274728860,229449591,265669613,221235375,273882204,109323786,260679800,269189449,34967001,34967000,44344524,55195362,67539524,81009446,95068716,258778831,59860889,48469871,38557156,38557157,48469873,59860890,72598532,86195825,86195822,86195823,100158465,271813819,141440893,137428284,137428285,137428264,271171684,95251837,95251836,109506173,123698092,137428299,150465712,162591438,166608762,154911211,142279170,128928526,128928527,142279172,154911209,146278703,146278702,146278704,158647307,170006105,167843172,261127970,130401855,116561814,116561811,116561810,259949782,143727734,261127968,154274590,154274589,155506384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9356632, s2 = 7772696, dlinesl.size( ) = 2 s1 = 9356632, s2 = 7772696, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9356632, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7993086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9477796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8634215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13638399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6848585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8439747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8439747, s2 = 14320490, int(edited[s2]) = 0 s1 = 8439747, s2 = 14320490, d1 = 10, d2 = 15 Dl.O(d1) = 28617370,28617371,37128925,37128932,47016272,58387384,71104002,58387381,58387380,71103995,58387377,58387376,71103994,84667134,98590574,112584305,126452831,121702966,112584303,107322050,92917525,78811223,65480565,53460024,53460025,65480566,78811225,92917528,107322053,121702980,115015230,100960900,100960899,115015229,115015232,105288405,91075431,77165179,64029041,52191594,256060290,32932348,41864242,52191596,46371572,36512713,36512712,36512718,46371574,57721907,259252079,260472455 Dl.O(d2) = 151543391,138840654,271751411,97780171,97780170,111702276,111725228,111725227,111701967,97779945,97779944,97779930,97779929,111701944,125508089,138840473,138863818,261605059,273084035,183959642,185765386,193250471,185436667,175953420,272853343,140770992,127414895,113544245,113544246,260005966,98891033,112878706,98891043,84965478,71390791,71390790,84965475,98891037,260539177,99532886,99532885,113544232,113544253,113544254,127414901,140770998,141604219,141604221,259683016,100351023,86393966,72798004,72798003,86393964,100351016,100351015,114375395,128252885,128252869,260298564,128273279,114397218,100374193,100374194,100374228,86418568,255938064,60086670,64601066,52700370,42313252,42313250,52700367,64601062,60086623,50221564,40199352,40199351,40412148,40199343,31513255,31513256,40199344,50221551,60086648,60086649,61254853,49776060,39757381,39757380,49776059,61254851,64604392,64604391,77787274,77787275,78431359,78431358,78431382,65149400,65149401,257142284,101789411,87816816,74213009,61434071,49956407,39939526,39939525,49956405,61434067,74213005,87816811,101789407,258794996,74213001,61434065,258253131,49956412,39939530,31264565,23779268,23779267,31264563,257061583,61434075,74213013,77013713,90893577,101789432,101789433,115835727,129735059,129735060,129735076,129735075,143066713,155617233,167248285,177743016,167248255,155617199,143066687,143066688,155617202,167248260,177743024,177743022,177743021,187019061,177743020,167248258,167248257,262869233,157101537,144700373,144700374,157101538,168549666,168549667,176397723,165734520,165734521,273088486,272517644,129653850,115755685,101709396,87735008,74128941,74128942,87734972,257636136,49864061,39840927,39840928,257636117,61346629,74128875,86055718,72457240,59721270,48336390,48336389,59721267,51417349,41220733,38431794,32403592,24779684,18299063,18299064,24779686,29870990,29870991,38431931,48336504,38431895,29870975,22511727,22511728,29870977,38431900,38431773,29870884,29870885,22511720,16337849,16337848,22511717,29870962,38431878,48336495,48336565,48336564,48336296,48336295,48336302,48336303,59721198,59721308,59721309,59721287,59721288,72457267,77488440,91419005,77488365,269501757,42105559,33151630,33151631,42105560,52457662,64324450,77488243,77488441,77488442,85841738,72250072,59515856,257195704,64324597,258400093,52457728,42105625,33151661,33151660,257195279,64324636,73349479,73349478,86961068,77488298,257785119,257785121,77488300,77488292,64324482,52457605,52457604,64324478,77488286,91418932,105644954,91418970,91418971,105644986,115847908,105644952,105644950,119883665,115847906,101801732,87827731,76929729,63821816,63821815,71053887,58337909,58337908,53888262,53888261,63821808,52005684,41693435,32776413,32776414,34264443,26387068,256187967,43364259,268049714,18582818,13205631,13205632,18582821,25136898,29729234,22372510,22372509,18405975,18405974,24911210,20607236,20607233,25079024,27505423,255104584,12905927,12905926,13206573,18584395,24812933,24812934,32448125,32848130,32776391,25079063,18535760,13170450,8977909,8977910,13170452,18535761,25079065,32776395,41693414,52005668,63821789,76929688,76929680,76929681,90805884,90805934,260246003,133013950,271825600,163845844,165441052,158622358,146248013,138875897,261606337,151578440,138875941,138875934,125543496,111737623,97815726,97815727,104983785,119178790,260651468,133013915,133013916,146248103,151578377,151578376,152605155,146248108,133013921,119178818,114685050,100639660,100639659,114685049,128582306,261196334,104983791,104983790,119178795,133013800,133013799,146247998,146248116,261196338,104983805,90805921,90805922,104983807,119178831,261947319,261743562,119178830,119178831,133013939,146248105,158622419,151578412,138875910,261410631,133013799,146248000,137298988,137298989,125920552,112086101,112086099,125920555,139269993,260488770,139269982,138875892,125543462,111737607,97815719,83956707,83956706,97815716,111737601,259434236,146248044,259434232,133013826,133013827,146248029,261773700,169985215,262285666,158622337,150340444,137299008,123567264,109376333,95122635,95122634,109376328,123567258,133013787,119178710,119178711,133013788,133013806,133013857,133013858,146248053,153678739,141012519,141012520,262233835,141943447,260651498,125543446,111737595,111737596,125543450,138875878,140994394,127646123,113777813,99763610,99763611,113777816,127646127,119178758,104983768,259400842,63821794,52005672,41693421,41693422,52005677,63821802,76929711,90805925,104983812,119178829,119178828,133013937,261947315,133013901,119178798,104983791,104983787,119178792,133013806,133013857,133013858,146248053,153678739,146248114,146248115,157513733,154587912,141943552,131815981,131815980,133013862,133013861,145077238,271825596,103839035,103839036,103839040,89733722,89733723,103839043,260804961,145077271,261374685,117986117,103839039,260207905,89733717,75954749,62973211,51296526,257547408,24691765,32303698,41115434,51296525,62973209,75374742,62460128,62460129,50864718,50864717,62460149,75374763,89121680,103210251,89733696,89121656,89121657,10321022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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8439747, s2 = 14320490, dlinesl.size( ) = 8 s1 = 3369857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6901992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6901992, s2 = 14165015, int(edited[s2]) = 0 s1 = 6901992, s2 = 14165015, d1 = 12, d2 = 28 Dl.O(d1) = 259908276 Dl.O(d2) = 50498429,61990200,74786566,88418166,86058786,72460493,59724717,256036274,38436558,255194438,22520998,16347823,11375413,7557278,4778753,2879892,2879890,4778749,6888593,10449536,15151691,17295045,23607659,20828047,14929474,10266254,6745994,6745993,10266253,11372427,267743822,11372320,16344083,22517491,267881828,22517547,22517546,29874854,31142367,29879831,29879832,38438432,267842504,29873097,22515077,22515075,22515045,254840506,22529655,16357052,16357050,22529653,16387325,16387324,22568103,23597290,17285144,12164543,12164544,17285146,20123206,20126491,14434599,9929249,7550444,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,5313706,8241964,7548858,7548857,7815191,7815190,11713558,267790664,12208007,8239539,5311736,5311735,8239538,12208005,17333218,23650262,22487068,16337893,16337892,254183136,8165296,8165298,12135353,17255234,16351416,16351415,12132829,12132830,16323311,16323312,20052568,26938571,23544883,17237075,17237074,22475538,267905244,11344884,16305317,16308092,16308093,21569343,21569342,16312152,254554560,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918381,254418400,29842659,24540359,18106547,16305777,16305779,17882687,17882684,15328988,15328990,15918660,15918662,22020133,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919219,22020465,22972542,22972543,22972535,22972534,30374221,29346351,22014311,15912729,255443169,29307089,21979558,21979557,17094292,17094290,16356804,11382942,11382945,16356813,22529473,16777240,16777239,23017494,30412798,30412799,28424658,21201389,15236170,15236169,21201385,28424646,29354845,28891380,22386021,21615235,16303751,16303752,16355507,16355509,15152546,15152545,16349864,21095064,28304095,27232614,20303503,20303502,27232607,35355509,268219312,16287282,16287281,22455516,23599338,31083197,38143683,31090322,31090321,39769032,44552348,35174772,28892183,21615956,21615957,28892186,37381731,28841889,28841888,28304089,28304088,29576826,22229324,254835378,7417368,4687358,2824473,2824472,4687354,7417359,11179162,7417392,4687368,4687369,7417398,11179245,16095302,22229459,27233216,21093363,21093361,16046657,11141984,11141983,16046652,20304574,27233888,28063107,20892508,14988708,10320029,10320027,14988700,20892486,28063080,36529179,29856678,22492236,22492235,29351435,29351436,37433370,32787268,25089454,255242565,13176325,18544142,18543174,13175716,254744228,21094605,21094606,25088914,22228883,17299185,17299184,21095471,15152817,15152816,21095465,22524131,22524132,25090300,18544808,18544807,25090295,25087908,20227209,14514776,14514778,15096758,10411956,10411957,15096762,21019498,28213038,22077807,15972073,11086809,11086808,15972071,13175808,8981518,8981517,13175805,18543325,18543763,13176091,13176089,13176088,18543759,25088992,29355993,22025408,22025409,29355995,37922536,42577683,42577684,38373917,29801995,29801996,38373919,38421940,36862918,28891484,28364620,21148665,21102345,15157994,15157991,21102334,21455500,15456531,15456533,21455509,28271437,28271435,21614624,21614622,28890743,28868795,22793702,21792501,15733959,10897144,10897145,15733966,15141786,15141789,21079913,23360691,23049720,21634309,15602765,15602764,21634303,28891903,36808799,40354769,40354770,36806056,28309190,28309189,36806054,28309196,21099242,15155690,10452136,6890079,6890080,10452138,11357536,11366265,16336327,15158009,10453644,10453645,15158011,21102370,28312806,22579752,22509337,16335748,11365915,7551153,7551152,11365913,16335745,255045426,33239506,25489961,18886139,13458786,9203799,9203798,13458783,18886135,25489958,22065773,22065772,29371627,22040677,15938120,11059624,7333321,7333322,7332583,4632137,4632138,7332611,11058430,15936480,22038805,22069322,254867906,23683642,23683640,30186835,22797348,16580479,11560651,7693509,7693508,8511844,12231709,8259327,5328589,3275341,3275340,4868650,4868654,5328748,3275424,3275426,254126342,12232117,17362041,23682342,31170322,31602961,24098807,17740045,17740046,24098811,31170885,23683118,23683119,24079989,17810328,17810329,24178745,30849201,254128628,33307040,33307039,35129883,254173842,17818618,12615772,8563543,5560456,3445099,3445098,5560455,8563539,12615764,15231027,10506714,10506710,11560614,11560615,16580413,17768924,17768926,19360347,21033935,17386348,12251822,8274533,5339067,3281803,1930269,1930268,3281798,5339051,8274507,12251774,17386263,23709706,28829998,26445175,19706132,14129634,9720592,6394511,6394510,8541034,9720580,14129614,19706098,24169284,30739799,254416534,11964409,254170172,11587616,12623055,12623056,17827798,17055082,11964382,11964383,254606334,19706104,26445152,24181325,17812957,17812958,23155350,16894024,16470728,11475959,7632928,7632926,6869466,6869467,10420364,7708775,4878663,4878664,7708680,11581327,7708852,6536261,4095259,2449999,1416506,805866,805870,1416499,2449978,3736259,3736258,5974347,5974408,3736283,3736282,5974399,9129472,13358424,18759766,14129555,1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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6901992, s2 = 14165015, dlinesl.size( ) = 2 s1 = 6901992, s2 = 14165015, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6901992, Dl.E( ) = 32, 2.29e-05 seconds used appending s1 = 3624132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3624132, s2 = 14665910, int(edited[s2]) = 0 s1 = 3624132, s2 = 14665910, d1 = 7, d2 = 7 Dl.O(d1) = 125524205,260471492,151560070,163372230,258000918 Dl.O(d2) = 125524205,260471492,151560070,163372230,258000918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3624132, s2 = 14665910, dlinesl.size( ) = 2 s1 = 3624132, s2 = 14665910, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3624132, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 7635652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7635652, s2 = 10351946, int(edited[s2]) = 0 s1 = 7635652, s2 = 10351946, d1 = 21, d2 = 24 Dl.O(d1) = 270327219 Dl.O(d2) = 261053493,147153599,159514479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7635652, s2 = 10351946, dlinesl.size( ) = 26 s1 = 8095717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8398141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8398141, s2 = 14882585, int(edited[s2]) = 0 s1 = 8398141, s2 = 14882585, d1 = 42, d2 = 40 Dl.O(d1) = 23395612,30823507,254918434,255658928,256637090,109769216,123906627,115204626,101126852,87128670,87128671,101126850,101126848,101126847,115204621,129136232,142513482,269984964,115204620,101126845,101126846,101126849,257392908,112947880,126801849,256814504,85033852,85033853,98958778,112947882,125556777,112947890,111749553,257392912,97825955,83965770,83965771,97825956,111749551,97825959,97825960,111749555,116447044,102354000 Dl.O(d2) = 127608089,139896566,259994588,270809719,58457295,47079320,37184223,28663438,28663440,37184225,47079313,37184218,37184219,47079315,258055031,72176618,59438157,50532787,50532788,42906063,42906062,41928503,32988072,32988071,257104475,31802364,24288013,17906656,17906655,24288011,31802360,256048889,17906658,17906657,24288015,31802370,40497448,257687651,43831007,34559231,26599455,19793293,19793294,26599462,34586482,42906100,42906096,40547697,40547698,48253421,257529973,38343137,29771911,29771910,268946475,59640153,48253408,38343106,38343107,48253411,41928482,32988057,25264600,18693160,13300080,13300081,18693164,25264604,32988063,257181519,61596056,64116202,77263183,85969108,72374341,72374340,74873760,73324534,73324535,72374374,60580699,60580700,59640185,48253441,38343127,29771904,22408266,16244919,16244918,22408264,29771901,38343121,48253432,59640180,59640278,48253548,48253547,258139267,72374372,72374373,269799576,54657590,43914917,34641525,34641526,43914919,38343124,268426474,41928486,41928485,43955685,43955686,54699826,59640226,48253475,38343148,29771919,22408272,22408273,29771923,38343153,48253485,49209569,49209571,58119365,46750840,36871714,28375135,28375134,29771935,256407487,46809280,38343254,29772031,29772032,22958528,16722667,16722668,22958530,30359912,38946029,48865739,258185399,60584495,49184511,39258651,39258652,38956907,255974773,17029422,17029421,17454867,16720336,16720337,17189092,23469738,30904297,39258780,39258779,30701704,30701703,30657344,30657345,23288804,23288803,23298096,23298095,23248037,16983472,16983473,12304862,8311044,8311045,12304864,17455010,255559889,17454837,23785585,31271091,39945913,39259953,268970851,38956728,30370592,22969082,16733189,11690494,7796664,7796665,11690497,255509193,30370601,38195885,29628849,29628826,22276933,16133992,11207702,7436528,4699043,2831107,2831108,4699045,7436530,11207704,16133990,11207685,11207684,16133988,255899689,23259216,23259217,256473765,23267487,17003493,17003494,17029432,23288808,23288806,17029430,11944318,11944317,17029429,255974775,39302696,31271214,23785724,17454943,17454942,16983470,11897563,11897564,16983471,23248035,30664309,39244619,38945721,30359524,22958031,16722030,11680414,7788672,7787134,7787135,11678658,16720352,22956530,30355227,22953450,16716861,16716860,22953443,30355220,38941415,30648534,30648532,256476235,17028985,11943908,7994481,7994483,11941311,7992253,5087192,3086407,3086408,5087195,7992258,11941318,17026340,255139577,11891994,16722017,11680419,11680420,16722034,16722033,22958035,30359526,30359514,22958007,22958008,23785801,23785799,30701295,23285411,17026159,17026160,17039021,23250366,255533168,22951271,22951270,22956984,16720788,11679117,11679116,16720786,22956983,22969520,16733683,11690940,7797063,7797062,11690938,16716863,22953451,30355228,22958021,16722027,11680411,11680412,16722028,255952745,255125161,7789091,4938508,2980050,2980049,4938507,254805163,16714699,11688696,7795141,7795140,11688693,11672863,7781874,4932346,4932345,4932352,4931832,254552299,11672368,16714174,255508397,7785466,7784078,4934328,4934327,7784076,254846955,8310866,254553130,2982933,1731628,1731627,2982932,4942853,7794410,4942147,4942146,7786473,4940462,2981263,2981264,4940467,7792050,11685018,15470661,16727329,16727328,16732860,16732861,12304656,8310901,5362585,3296619,3296618,5362582,8310898,7785452,7465743,4943207,2983184,1731811,984545,984546,1731816,2983196,4943229,7795661,7784080,7784079,11675185,11678151,16719920,255952647,30354223,22952381,22952380,16958015,11870222,7934228,5044897,5044898,7934230,11870227,16727687,11684968,7791998,267984043,16727691,255953131,30357791,22956139,16727839,16727840,255125433,7792308,7792309,11677224,14347772,9857884,6475475,6475476,9857886,14347775,20030819,26915225,22964136,16727667,11684952,7791985,7791983,11680912,11680909,16722518,22958408,22969326,16733440,16733439,22966260,19361163,13848533,9500109,9500108,13848529,19361158,26039331,30357009,22955394,22955395,16730794,11688232,7794690,4942418,4942419,7794694,11687843,7794302,4942064,2982267,2982266,4942057,7794289,11213567,11213568,16141434,22284889,20030788,14347753,14347755,20030794,20030804,16727677,16727676,22964147,22964129,16727662,16727659,22958389,16722508,16722509,19361033,19361032,16733428,11690715,11690716,16733434,22969318,30370833,33860886,30368108,29636663,29636665,30357841,30357840,22966638,16730780,11688226,11688225,16730777,16731546,22967378,22966297,16730370,11687828,11687827,16730366,22966290,30367801,38953970,38953781,30367635,22966186,22966185,30367627,38952463,30366164,30366162,26039076,26039073,33860535,26039129,19361020,13848449,9500060,6231125,6231126,9500066,13848456,19361037,23230709,23230708,30652087,39247895,49173099,53178381,42728947,33699236,25893252,25893254,30689660,30689661,39286868,42906023,42906020,48872145,60264758,53241507,42790237,42790238,48872033,48872032,48872146,60264760,73000114,73000039,258809021,86597657,86597658,84681191,71116496,270035087,53371928,48047168,38133733,29567630,29567629,22654829,22654828,30028586,38601898,48516637,59909741,258123302,46829132,256307777,28450838,33979124,26139938,26139941,33979129,43036265,47027436,47027035,37138828,37138827,47027032,58398867,59437615,48045814,38132477,38132474,42905908,33860685,28625964,21388022,15404063,15404066,21388028,28625971,33979165,26139954,26139952,33979162,29567779,29567778,38133925,48047397,58399198,47027409,47027066,37138868,37138867,33979507,33979506,29463183,29463185,29830831,22463409,22463408,29830829,28626143,28626144,33979455,26140170,26140171,21223955,15254166,15254165,21223954,28450698,28625894,28625895,33979408,26140141,19443573,13913519,9549216,9549215,13913517,19443570,26140138,32960103,25238919,25238920,28450660,28450659,21224064,15254234,15254235,12800793,8703318,8703316,10523826,10523824,15254143,21223917,28450643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8398141, s2 = 14882585, dlinesl.size( ) = 28 s1 = 6954145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8638469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15391105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15391105, s2 = 14877425, int(edited[s2]) = 0 s1 = 15391105, s2 = 14877425, d1 = 6, d2 = 6 Dl.O(d1) = 98888668,112876464,126728928,140077289,152768142,164602808,152768137,140077284,126728926,126728927,140077287,152768140,164602810,152768138,152768139,164602812,175362732,184911263,193249820,200407794,200407795,206455093,206455094,211456599,211456600,215545927,213567298,213567297,209008320,203455057,196823313,189072100,180121088,180121087,169945161,158579329,146204781,132971096,119135793,259626693,76881651,63772391,51957532,41650697,32741245,32741244,41650696,51957531,51957523,41650691,32741240,25051225,18514597,18514598,255640103,32741244,41650696,257758015,76881650,70575448,57874560,257490883,37824575,257490885,70490109,57789358,46434141,36569565,28098427,20923067,15015708,10343986,10343985,15015707,20923066,28098424,36569562,46434139,57789355,70490107,84024768,97894315,111827050,125642036,138980263,141417560,128048988,114159100,100125312,86159271,72561069,59825780,48439736,48439735,59825778,72561068,81273867,67806467,55464931,44616137,35234386,27139221,20231917,14518071,9989834,9989835,14518072,12327087,8327336,8327337,5935552,3711307,2222451,2222452,2217912,2217913,3703022,5921986,7271947,7271945,10985803,11659400,255506735,22933634,30334496,38920926,48841473,60235766,72972759,76775523,63681535,51882365,41588462,32689931,25009776,18482373,13130807,8949335,8949339,13130811,14174041,14173873,9744138,9744139,11401840,7576170,4791769,4791768,7576168,11401836,254518000,13340760,16629112,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,1394448,1394450,1393703,792629,792632,1393718,2408517,2408803,2408802,4019832,254518018,14174203,19788542,26593941,26592860,26591035,26591034,34578398,34600348,43870592,49928795,39909713,31233510,23750178,19792813,19792814,14551763,10012925,10012924,9751077,6411515,6411514,9751075,12282918,8295147,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178480 Dl.O(d2) = 98888668,112876464,126728928,140077289,152768142,164602808,152768137,140077284,126728926,126728927,140077287,152768140,164602810,152768138,152768139,164602812,175362732,184911263,193249820,200407794,200407795,206455093,206455094,211456599,211456600,215545927,213567298,213567297,209008320,203455057,196823313,189072100,180121088,180121087,169945161,158579329,146204781,132971096,119135793,259626693,76881651,63772391,51957532,41650697,32741245,32741244,41650696,51957531,51957523,41650691,32741240,25051225,18514597,18514598,255640103,32741244,41650696,257758015,76881650,70575448,57874560,257490883,37824575,257490885,70490109,57789358,46434141,36569565,28098427,20923067,15015708,10343986,10343985,15015707,20923066,28098424,36569562,46434139,57789355,70490107,84024768,97894315,111827050,125642036,138980263,141417560,128048988,114159100,100125312,86159271,72561069,59825780,48439736,48439735,59825778,72561068,81273867,67806467,55464931,44616137,35234386,27139221,20231917,14518071,9989834,9989835,14518072,12327087,8327336,8327337,5935552,3711307,2222451,2222452,2217912,2217913,3703022,5921986,7271947,7271945,10985803,11659400,255506735,22933634,30334496,38920926,48841473,60235766,72972759,76775523,63681535,51882365,41588462,32689931,25009776,18482373,13130807,8949335,8949339,13130811,14174041,14173873,9744138,9744139,11401840,7576170,4791769,4791768,7576168,11401836,254518000,13340760,16629112,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,1394448,1394450,1393703,792629,792632,1393718,2408517,2408803,2408802,4019832,254518018,14174203,19788542,26593941,26592860,26591035,26591034,34578398,34600348,43870592,49928795,39909713,31233510,23750178,19792813,19792814,14551763,10012925,10012924,9751077,6411515,6411514,9751075,12282918,8295147,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15391105, s2 = 14877425, dlinesl.size( ) = 2 s1 = 15391105, s2 = 14877425, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15391105, Dl.E( ) = 8, 2.1e-05 seconds used appending s1 = 4850361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9701422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3374844, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3375319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3375319, s2 = 3858831, int(edited[s2]) = 0 s1 = 3375319, s2 = 3858831, d1 = 0, d2 = 9 Dl.O(d1) = 111857693 Dl.O(d2) = 139012372,272818619,262621799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3375319, s2 = 3858831, dlinesl.size( ) = 14 s1 = 8542508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8566331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8566331, s2 = 14087992, int(edited[s2]) = 0 s1 = 8566331, s2 = 14087992, d1 = 16, d2 = 12 Dl.O(d1) = 140235697,258901798,99045800,85120901,85120900,99045799,271373586,139000504,139000505,128335069,114458165,100433702,86476615,72881303,72881302,86476610,100433694,114458158,261217221,261309422,154337271,164756243,152925907,141229009,127870026,127870025,126887529,113034359,113034357,272611108,184078386,263254628,150518926,261563652,261511586,141977041,128617386,128617387,141977042,140235631,126887446,113034286,269790712,258080187,259948883,126887443,139000167,260737476,259525838,126105671,260140562,100433770,260641257,262752377,162639064,150518937,139034503,125696053,111879247,97943051,84070211,70533872 Dl.O(d2) = 260140666,86476898,86476900,271354261,94409845,94409846,108696951,122962119,129475704,115590570,101554191,87591641,73991342,61212510,49734133,257627177,61212515,73991347,87591646,97791848,83932777,70406454,70406453,61212516,49734137,39715310,255994307,255156889 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8444751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3629683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3629683, s2 = 4342761, int(edited[s2]) = 0 s1 = 3629683, s2 = 4342761, d1 = 11, d2 = 7 Dl.O(d1) = 125712252,111894723,97957046,87952059,87952058,74349810,61572935,61572934,258886833,101924676,115968898,129866263,143195250 Dl.O(d2) = 167380539,177876108,263629067,202117675,206637033,200622925,193493301,185175694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3629683, s2 = 4342761, dlinesl.size( ) = 2 s1 = 3629683, s2 = 4342761, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3629683, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14164382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3376986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3631353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3379149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3379389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6990680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165356, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3632235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3379784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10136591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10214922, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9677924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14619475, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10207786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7675454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9362417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3381972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3382995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7069428, s2 = 8118840, int(edited[s2]) = 0 s1 = 7069428, s2 = 8118840, d1 = 31, d2 = 52 Dl.O(d1) = 262150236 Dl.O(d2) = 112239552,98261713,84354295,269305350,39444081,30839844,23410231,17135230,12041990,255535617 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3383594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3383594, s2 = 4684452, int(edited[s2]) = 0 s1 = 3383594, s2 = 4684452, d1 = 1, d2 = 7 Dl.O(d1) = 112244958 Dl.O(d2) = 189803114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3383594, s2 = 4684452, dlinesl.size( ) = 2 s1 = 3383594, s2 = 4684452, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3383594, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 3383706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7027237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3637079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3637203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6851851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6851851, s2 = 14332402, int(edited[s2]) = 0 s1 = 6851851, s2 = 14332402, d1 = 30, d2 = 77 Dl.O(d1) = 259280075 Dl.O(d2) = 38058239,30431699,30431700,254748358,17128533,12037527,8092673,8092672,12037522,15986878,15986877,21823387,26932951,28386391,22094980,18239637,12938101,8802054,8802053,11568210,11568209,16588408,22805908,30196731,30196738,38781288,33149853,29130523,21823499,21823498,21199422,21199425,254594698,38058481,29495271,23032987,16789762,15462098,15462097,21462581,28718714,37249551,268041088,48705583,60101170,72304378,59570336,48184282,48184281,59570334,55464513,55464512,257223048,50601989,50601990,62100552,52505872,256642969,25442950,18846208,254921073,9180666,255260811,256127343,25442941,33188452,257198239,64379537,72665076,59924739,59924742,257818334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6851851, s2 = 14332402, dlinesl.size( ) = 2 s1 = 6851851, s2 = 14332402, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6851851, Dl.E( ) = 78, 3e-05 seconds used appending s1 = 3385964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10244435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10244435, s2 = 14906672, int(edited[s2]) = 0 s1 = 10244435, s2 = 14906672, d1 = 9, d2 = 16 Dl.O(d1) = 3500641,2080678,1196323,673674,254141091,2080715,3500683,5633023,8659411,12742280,12742227,12742226,17979675,24378207,31909745,31334728,23842771,23842770,31334727,40013102,50031743,55246700,67588405,81055906,95113193,109367148,123558355,137290383,137290381,123558353,109367145,109367146,272090551,150331954,162466941,167957542,167957541,173507584,162468301,150333402,150333401,162468300,173507583,183309481,191879014,191878999,191879000,186291427,176915635,176915634,186291412 Dl.O(d2) = 260532509,139975013,139538383,260160846,112301612,98318420,84408449,70850832,58136534,58136533,70850830,84408448,84408441,84408440,98318414,102603318,88595301,258953262,62143859,50637652,40589842,257130790,22400551,22400555,29762670,38333269,258138561,85959863,75545231,62607145,50984651,41573809,32678067,32678065,25000526,25000531,24825420,18333112,13125830,8946473,8946475,13125812,13125811,18333279,18333283,18475482,25001061,24488132,24488128,256572059,24356204,31882711,40589738,50637534,62143753,74953207,81059058,81059057,94457882,80398575,66968350,54709197,43965390,34690114,26695517,19875306,19864125,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333127,18729312,25304695,33031216,41974449,52314930,64166486,74446021,61661517,50175143,40149675,31466011,31466012,40149677,50175135,40149660,40149659,50175133,61661509,74446010,88058247,102043623,116101051,130010481,143344038,155889007,167506255,177979911,169970183,158605527,256616844,104973383,99801940,85849964,85849963,76922468,63815788,52000576,41689016,32772525,25075409,18532699,254082052,5859914,267736670,2188477,3658180,5859913,8976073,13167994,15905453,11026892,7636911,4831460,254357880,1688890,2911296,4493240,2699508,2699507,2700048,1564189,889213,889217,1564106,1562580,1562581,2697471,254506183,268074511,8246007,254517359,2761400,1600780,910157,513444,287992,287991,513439,910144,531750,298194,165141,90879,50053,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941931,1655480,1085362,609498,609497,1085360,1901452,3224915,1890514,1078786,1078785,1077956,605449,336952,185144,185143,336950,605440,1077933,1888982,1911405,3254290,2778138,1611677,916923,916924,1611680,1892696,1892698,1884687,1884684,2788769,4629356,5242762,5306913,5306912,8234863,8190893,5260151,3215564,1883817,1074716,603772,336154,184779,184781,336165,603792,1074746,1610806,916443,916444,1610815,2776759,1870727,1067116,599797,599796,919787,1617058,1920339,3266796,5317861,8235685,5307829,5243479,3249215,254182757,611501,611427,611428,611574,611573,1089286,1907850,3230368,1894444,1894445,3230369,2771606,2771609,4605380,254582111,3225350,3225351,5270846,7304728,7304727,5249394,3207026,1878137,1878136,1878104,1878105,3206967,5249327,4616118,2779689,1612520,1612522,2779693,4616124,7312969,7315053,4617541,2780442,2780444,4617546,7315063,8187998,7304639,4609110,4609111,7304640,8179667,5249248,3206904,3206903,5249244,5253723,4628558,2788204,2788205,4628562,7327680,11044441,15921679,268249425,12117069,8148007,8148008,8180466,12150640,11268222,7480124,7480122,255028608,4968076,4964381,2998425,2998424,4964380,7822392,5316592,5316593,7311560,11037207,8259087,5328439,5293242,3244502,254182567,1087093,1904233,254346719,1607925,254232969,3265201,1919188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10244435, s2 = 14906672, dlinesl.size( ) = 2 s1 = 10244435, s2 = 14906672, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10244435, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 3638182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3638182, s2 = 1772396, int(edited[s2]) = 0 s1 = 3638182, s2 = 1772396, d1 = 2, d2 = 1 Dl.O(d1) = 126164166 Dl.O(d2) = 46769947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3638182, s2 = 1772396, dlinesl.size( ) = 2 s1 = 3638182, s2 = 1772396, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3638182, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 9713291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3639118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3639529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9511660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9511660, s2 = 3388165, int(edited[s2]) = 0 s1 = 9511660, s2 = 3388165, d1 = 12, d2 = 10 Dl.O(d1) = 199833529,199833534,205981550,199833536,192560467,192560466,199833533,205981546,263924768,192985559,184601596,175000622,164184900 Dl.O(d2) = 139571894,126196592,112336060,98353048,258170318,58171791,46804367,36926176,255494522,15238072,10511798,6931757,6931759,6931775,6931677,4603545,4603544,7298627,11023865,15865531,17843029,16864590,16864589,23124410,22126109,22126108,22783647,16567961,16567962,22783649,30172328,29054462,21759925,15704786,10871916,7188257,7188259,10871919,15704790,21759931,23577709,17266060,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286481,8089511,5182756,5182755,8089506,12033098,14375892,9881868,9881869,14375899,20060463,16653938,16653935,22615845,22615846,20060407,20060406,26945729,26632567,19821238,14198321,11546906,7682285,4860969,2929255,2929252,4860956,7682255,11546852,11546734,7682188,7682187,11546732,16564631,22779980,23124508,21014942,21014941,17122427,12032755,12032753,17122422,23394059,17122320,14277989,14277990,12032693,8089274,5182647,3162024,3162023,4218301,4218302,4218291,4218292,6732960,10247529,10694702,7065467,7065470,10694692,15466821,21468396,28725078,37256586,47161897,58550479,71281974,84855454,98781764,112771190,126626138,139979737,152677806,164521923,175292335,261744198,261744196,167042974,155402747,142821271,129504382,115619598,260035782,74008424,61227778,269356898,31051356,23567276,255495296,8165757,8165756,7137125,4493415,3328896,3328898,2699440,1563798,1563800,1656496,942518,531582,531581,501180,501182,531626,531627,942623,1656699,2699905,1689140,960581,541384,541382,960574,907245,907243,1595884,1888176,1888178,3221756,1892371,1892370,3227506,4604942,5267071,3243767,1903704,1086712,1086714,1884293,1884292,3216279,4733725,4513412,3227453,3227451,2761396,1600779,910157,513444,287992,287991,513439,910144,531750,298194,165141,90879,50053,50051,90817,165012,297978,531348,942047,1655679,2853124,4734716,5241487,5278989,5303207,5309748,5309747,8230128,5301537,3253545,3253544,4960136,4960137,7490880,4831982,2911649,1689092,1689091,2911643,1873176,1077289,1077288,614209,614214,1094058,1872614,1068118,1068117,1872613,267828899,2788729,1872717,1872716,1080497,606872,606871,1080490,1889502,1913252,3256947,3251099,3251101,4606988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9511660, s2 = 3388165, dlinesl.size( ) = 2 s1 = 9511660, s2 = 3388165, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9511660, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 7032521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7032521, s2 = 9793898, int(edited[s2]) = 0 s1 = 7032521, s2 = 9793898, d1 = 30, d2 = 85 Dl.O(d1) = 261637223 Dl.O(d2) = 57146235,69782456,83326724,97257135,260455059,271846592,271526853,133502698,146758803,159132826,170475327,263009340,262062314,260962076,110975779,110975776,105786370,91567767,77639374,77639373,91567765,105786367,271121322,260220484,97257133,259604388,83509675,69974032,68949861,56428756,56428755,68949857,69236295,257278628,45532737,256716426,69228262,82754916,270732593,56671538,256784707,35898770,45536415,56671541,69234099,259209711,56545135,45440332,35830649,35830648,45440331,56543136,69086503,82614925,96596325,110690575,96989964,258594391,56928618,257971171,270747505,111020603,273291968,124550768,259829551,96407845,271700521,150840475,137922322,270475058,270475060,270196305,56408957,45341382,35765578,35765577,45341380,55842924,45315161,35749020,27515989,20506723,14711767,14622031,10060003,6609426,4139861,2476026,2476022,2480137,1433316,815136,461787,461783,815156,1433572,2481257,4150147,6628643,254698798,20451690,27432075,35187186,35187185,29707962,22352792,256402615,48184004,257175180,79107646,72496554,59762736,48380068,254639748,30856841,23425589,17147994,17147993,23425498,30856734,39461418,49389738,60790369,70085043,70085045,268735842,69958567,258606669,97404050,96378258,82374341,82374340,82937807,93927174,270332894,82664320,95901853,256735260,256735262,95901854,271049479,64681621,64681622,77871558,91794120,91794137,90874415,259633543,91794123,105053595,105053596,91794095,91794094,91794139,91794138,105988848,119246620,105053623,105053599,91794087,77871534,64681603,52766674,42367092,42367091,269513859,77871526,91794078,105988788,105988795,91794091,91794090,91794088,91794089,270272768,52766682,42367096,42367095,52766680,64681614,77871549,79083373,79083375,93198306,101795998,87822715,87822716,101796000,107598440,121967805,134022801,129742537,115842944,115842945,126938858,113085779,113085780,126938859,140286577,140286574,259873418,126938869,113085793,99098605,99098604,258004068,269763566,85176896,71612357,58892581,47512899,37608244,37608245,256276970,85176902,258004072,126938875,129742561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7032521, s2 = 9793898, dlinesl.size( ) = 38 s1 = 8570856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3640481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8489337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3641555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7585188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9697889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8398939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8398939, s2 = 3156540, int(edited[s2]) = 0 s1 = 8398939, s2 = 3156540, d1 = 24, d2 = 10 Dl.O(d1) = 257059232 Dl.O(d2) = 99527740,85580813,71994049,59257410,47861096,256377855,15942763,268168114,4033112,6428568,9777235,255730325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8398939, s2 = 3156540, dlinesl.size( ) = 32 s1 = 8342413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3642590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6957305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3392121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3392551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8577430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9717296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9226273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9226273, s2 = 14181433, int(edited[s2]) = 0 s1 = 9226273, s2 = 14181433, d1 = 51, d2 = 55 Dl.O(d1) = 272178303,152448530,261446322,139722958,272705256 Dl.O(d2) = 136521,254073307,40230,74337,136519,247116,254114817,1350500,2330061,3891650,267937357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9226273, s2 = 14181433, dlinesl.size( ) = 8 s1 = 3644880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3394612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3645872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163820, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3646354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3646354, s2 = 11077682, int(edited[s2]) = 0 s1 = 3646354, s2 = 11077682, d1 = 39, d2 = 96 Dl.O(d1) = 126392368 Dl.O(d2) = 57816333,258010685,70517616,84052729,70517608,57816336,46460252,36593991,28120868,28120867,36593988,46460247,258010685,57816337,46460252,36593991,28120868,20943541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3646354, s2 = 11077682, dlinesl.size( ) = 22 s1 = 6993031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13375121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13375121, s2 = 14882188, int(edited[s2]) = 0 s1 = 13375121, s2 = 14882188, d1 = 38, d2 = 17 Dl.O(d1) = 62946607,67751673,259448534,257012422,255966952,256580666,38754900,38754898,48676418,59681689,48295315,38385061,29812613,28755922,28755923,37289836,47198164,48676407,38754887,30172109,268636791,22352800,16201681,11262616,7476783,7476784,11262619,16201690,22352820,29708005,38274699,48184025,38274646,38274647,48184027,59570093,72304162,85896907,254945292,78618750,91663381,77735293,77735292,91663379,86167229,72569068,72449517,59712741,48325872,40007652,40007651,50026198,256683590,40007717,48447280,256683592,74007963,269490350,61504198,74280936,256106310,40004286,31326394,31326393,40004285,41726179,32805915,32805914,40004712,40004713,50023148,40876548,32104147,24528067,24528068,32104150,37077413,28573919,28573918,256106314,71040429,257764460,112523237,126393555,272832701,128017123,114126883 Dl.O(d2) = 258809038,257171670,21183969,21183968,28404993,28399784,28399785,30003885,38574431,46780160,46780158,49206071,255442116,47779117,37855671,37855670,255067672,19213332,19213333,25265175,19211838,13722717,9400561,254454081,2308892,2308891,3853738,6158906,6158818,6158817,9400367,13722966,13723182,9400578,6158913,6158912,9400575,13722799,13722800,255061100,33675938,33645762,33645761,42675008,42706225,42706226,42460490,33467339,30585432,23167412,16904404,16904406,23167423,27131630,35225542,36895233,36895232,46773475,58141371,65575274,59212438,47814014,47814011,37892474,37892472,47814212,48121771,59509248,72243844,85835850,72524931,59789960,59789959,72524930,257011696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13375121, s2 = 14882188, dlinesl.size( ) = 30 s1 = 3647106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3647106, s2 = 1434550, int(edited[s2]) = 0 s1 = 3647106, s2 = 1434550, d1 = 11, d2 = 3 Dl.O(d1) = 126411218 Dl.O(d2) = 37091254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3647106, s2 = 1434550, dlinesl.size( ) = 28 s1 = 3396742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3397194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13579591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3648889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3398046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3398145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1609363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8491516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3123216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8291007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3401143, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9541983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3652143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3652143, s2 = 9661843, int(edited[s2]) = 0 s1 = 3652143, s2 = 9661843, d1 = 11, d2 = 1 Dl.O(d1) = 126566119,112701959,98706347,258676908,71209751,58488160,47110128,37213276,255401552,7052196,4438957,267824806,7023422,4417214 Dl.O(d2) = 4417215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3652143, s2 = 9661843, dlinesl.size( ) = 2 s1 = 3652143, s2 = 9661843, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3652143, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 3401778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8396627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9535218, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3652811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351047, s2 = 7969930, int(edited[s2]) = 0 s1 = 10351047, s2 = 7969930, d1 = 12, d2 = 16 Dl.O(d1) = 2279862,2279859,3806004,6082543,9285154,13561667,255438079,29262545,37828075,31430348,23939132,23939133,23943611,23943612,23174437,23174436,30210352,36952013,30592951,23174246,16910103,16910101,23174237,30592945,39190305,39190769,30593434,23176472,23176473,20983749,15071463,15071464,20983751,23937913,23937912,28710934,28710933,256869405 Dl.O(d2) = 260113545,261283380,268253872,344666,189014,189016,344670,620265,254184619,3291146,5354871,8300535,255169791,16660477,16660478,21416634,16660440,16660441,22889479,30287357,30289190,30289193,38874932,48797187,256883538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9428189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6854989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13257569, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10159759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7034727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7042273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7042273, s2 = 6955067, int(edited[s2]) = 0 s1 = 7042273, s2 = 6955067, d1 = 33, d2 = 29 Dl.O(d1) = 261751112 Dl.O(d2) = 260578012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7042273, s2 = 6955067, dlinesl.size( ) = 20 s1 = 10353204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3655566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3655566, s2 = 14637687, int(edited[s2]) = 0 s1 = 3655566, s2 = 14637687, d1 = 0, d2 = 0 Dl.O(d1) = 126674673,112817654,98826545,98826544,112817652,259315312,258063938 Dl.O(d2) = 126674673,112817654,98826545,98826544,112817652,259315312,258063938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3655566, s2 = 14637687, dlinesl.size( ) = 2 s1 = 3655566, s2 = 14637687, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3655566, Dl.E( ) = 2, 1.79e-05 seconds used appending s1 = 8068507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4089466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3131266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3407079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3407209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3657386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9491712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8865959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6905085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6654521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3659353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8346481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8069724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8284886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8284886, s2 = 16027088, int(edited[s2]) = 0 s1 = 8284886, s2 = 16027088, d1 = 92, d2 = 89 Dl.O(d1) = 259252588,126799365 Dl.O(d2) = 46892477,58259487,70975403,84538803,98461269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8284886, s2 = 16027088, dlinesl.size( ) = 60 s1 = 3410559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3410559, s2 = 8331225, int(edited[s2]) = 0 s1 = 3410559, s2 = 8331225, d1 = 27, d2 = 22 Dl.O(d1) = 112947661,126801607,259994907,86887139,73275695,257593787,30608291,258201791,271365517,100867267,259449099 Dl.O(d2) = 125405941,135961590,135961593,149185301,161471047,161471118,149185365,135961644,122034371,107660166,107660167,122034374,135961647,125405961,111607116,97688637,83830887,83830886,97688635,260464003,138729434,151424453,163302291,174151688,163302303,151424463,151424464,262540745,149185362,135961639,122034365,122034364,135961636,149185358,161471110,149185354,135961643,122034370,107660165,93257784,79142795,65788616,65788614,79142791,259732685,122034354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3410559, s2 = 8331225, dlinesl.size( ) = 14 s1 = 7608390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3660561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3660561, s2 = 14954188, int(edited[s2]) = 0 s1 = 3660561, s2 = 14954188, d1 = 9, d2 = 24 Dl.O(d1) = 126805426 Dl.O(d2) = 33373702,33373703,42362576,50124580,50124579,61604529,74381075,87983602,85897981,72305267,59571289,48185267,268397144,22353806,16202477,12042559,8095881,8095880,12042558,13551963,18991287,22433791,19149699,13673907,9364028,9364030,12574301,12574299,13648716,9363993,6133710,6073745,3800302,3800303,6073755,9272406,254936727,268080728,17822200,12618488,8565480,8565479,12618487,17822199,19073208,19073207,19092580,15708048,10874067,10874065,13673521,13616550,13616493,9323688,6107405,6107407,9290390,13569119,19012023,25626881,19128174,13657629,11740938,7838839,4975928,4975925,7838829,11740924,16791878,13204336,13204335,18580804,13204306,9001371,6124457,6124456,9350304,13654619,19124424,23035932,23035931,30443323,25135777,18581952,13205089,9001826,5876799,3669305,2196391,2196392,3669307,5876803,9001765,5876765,254295461,1276037,730005,730004,1276029,2196362,3669269,3822619,6109251,9326398,13620234,13204632,13204633,13204607,9001548,6109222,6109225,9326351,13620139,19077743,25132209,18579149,13203373,9000878,9000879,13203378,18579155,16265532,16265530,22433260,25764493,25764492,30038855,31225368,23742036,23742035,31225366,31486626,24242020,17866186,12652069,12652070,255591723,17867111,12652704,12652703,17867108,17868586,12653680,8591165,5582316,3463552,3463555,5582320,8591179,12653708,17868624,24244926,31756657,40451559,38680495,36949673,36949674,32475070,24834858,18340819,18340820,24834862,28059692,20889501,20889500,28059688,22604393,22604392,29969405,38535403,48443920,59830224,258776851,100129756,114163447,128053120,141421571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3660561, s2 = 14954188, dlinesl.size( ) = 2 s1 = 3660561, s2 = 14954188, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3660561, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 3136327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6797551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10226026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4093604, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10203052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6787948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6787948, s2 = 3370613, int(edited[s2]) = 0 s1 = 6787948, s2 = 3370613, d1 = 3, d2 = 19 Dl.O(d1) = 258457790 Dl.O(d2) = 70409975,83936181,97795267,111717997,125525298,259869974,163444045,261604472,138901116,138901115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6787948, s2 = 3370613, dlinesl.size( ) = 22 s1 = 10206608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10206608, s2 = 8211240, int(edited[s2]) = 0 s1 = 10206608, s2 = 8211240, d1 = 32, d2 = 35 Dl.O(d1) = 262193153,140220672,271780495,99034121,258702885,71537752,259328953,99034104,99034105,113022099,126874112 Dl.O(d2) = 259947827,85109216,85109215,259947817,259947819,99034112,85109203,71537744,58808654,47421408,37513758,37513757,270498108,257468299,37513760,28970452,21688632,15649399,10831842,255048721,21688633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10206608, s2 = 8211240, dlinesl.size( ) = 36 s1 = 8619029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9534771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9534771, s2 = 14163405, int(edited[s2]) = 0 s1 = 9534771, s2 = 14163405, d1 = 16, d2 = 14 Dl.O(d1) = 260990853,91190302,77270761,257771427,41935359,52274249,64123400,77270759,91190310,105412553,119649741,261421151,146780860,273229297,170498800,263334219,189538668,197231378,203793009,263942234,192888511,262770140,164060990 Dl.O(d2) = 84349746,70791017,58107784,46737365,36855380,28449964,21223308,15253632,15253631,21140382,21140384,23621941,23621939,31107040,39388815,39388814,36856188,36856189,254834208,36851505,46734051,256499280,31107540,23622273,17307573,12184471,12184472,17307575,23622188,28998099,23622292,17307587,17307588,23622290,30320681,30320680,37543839,47451729,58837726,258705441,99059274,113046792,126899398,140246550,128133187,123967714,114246265,100211821,86243724,269822375,48506146,38591190,30018599,256425087,16455627,11465498,11465499,255485907,30018598,38591188,36471615,36471614,256519745,23829053,17491128,12332602,8331074,8331073,12332601,17491126,23829051,31318839,39995911,39507379,30899846,30899845,39507376,49438335,60840041,52560416,42200361,255402650,24263868,24263867,19815283,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,11174686,16089383,16089382,22222036,22636172,22636171,28883797,28883798,37425927,40893740,33301387,33301388,42282630,47255775,37389719,33999304,32839088,32115778,31487249,23990227,23990230,18994252,13554607,13554608,18994245,25606793,33371598,28084214,28084216,21157053,21157054,25606786,25606782,33371573,28328985,28328984,30006991,30006990,33483405,29058514,21763066,15706978,15706979,21763053,29058488,22711057,21947833,21947834,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,30502378,23336219,17069940,11980750,11980752,17069946,23336226,26162781,19462493,256175675,37454600,28915370,21641089,21641088,28915369,37454599,28915374,21641092,21641093,28915375,28915377,37454607,47360661,53011418,42571272,33554243,33554244,42571273,53011420,64986375,76762444,63669766,63669765,76762442,90628072,88546053,88546052,89756925,103860499,118004976,123517131,126925845,126925840,126925839,118004954,268714584,75978124,255225632,51316409,51586661,63305642,71798425,76330065,255621700,47657378,37735680,29174996,21864744,21864743,29174993,256902949,59057689,62995438,75978114,89756869,75978108,62995435,51316405,41132847,32319071,32319072,41132849,51316407,62995442,75978117,89756875,81036830,81036829,81036831,81036832,79311067,65946824,65946823,79311065,81036828,95094605,107869661,107869660,107869654,257487214,79311059,79311063,65946821,53879463,53879464,65946822,267887466,63207858,65946812,65946814,79311053,71842353,71842352,85428182,99369488,113369929,127227573,122282842,107869649,93441893,93441892,107869648,256907382,73499885,60750977,49348160,268664047,23384594,23384595,30813516,39418693,49348167,60750986,58790743,47403202,47403203,46507081,36639826,28164798,255372983,15072388,20984790,19213972,19147191,255272583,9290798,6086179,3808151,3808152,6086181,9290800,6129002,3834644,3834646,3834641,3834550,2297321,2297320,2297330,3834571,6128885,9328174,9360206,12303991,8310413,8310412,9362463,9362462,7993574,5088310,3087371,1802822,1802823,3087377,5088328,7993608,9362620,9362613,6132776,3836829,3836830,6132781,9362479,9362481,9362791,9360199,6130961,3835734,2297969,2297968,3835728,3759606,3759605,6010998,7993547,7993546,11942728,13651650,13651649,10936362,7236138,4561677,2743259,2743260,4561661,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143265,19143295,13671808,13671809,17027629,11942770,7993568,7993569,5088318,5088315,7993579,11942794,13672008,19143368,17027675,17027676,17027749,23286796,19143325,255686427,25788085,19143281,19143280,13668822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9534771, s2 = 14163405, dlinesl.size( ) = 2 s1 = 9534771, s2 = 14163405, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9534771, Dl.E( ) = 18, 1.6e-05 seconds used appending s1 = 3664697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3664702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3664702, s2 = 10148496, int(edited[s2]) = 0 s1 = 3664702, s2 = 10148496, d1 = 17, d2 = 20 Dl.O(d1) = 126907463 Dl.O(d2) = 255856695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3664702, s2 = 10148496, dlinesl.size( ) = 2 s1 = 3664702, s2 = 10148496, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3664702, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 3415893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10145547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10145547, s2 = 13025459, int(edited[s2]) = 0 s1 = 10145547, s2 = 13025459, d1 = 6, d2 = 6 Dl.O(d1) = 12243010,8268290,5335038,3279444,1928972,1928973,3279446,5335045,8268308,12243048,12243004,8268286,8268285,8268284,12243002,268252793,31186859,39869325,49891423,61371896,259494125,115773846,129670554,142998357,261329516,160028028,147764212,134633501,120836399,106587851,92289457,92289458,92289472,85166878,71601790,58881964,47502708,37598779,29050819,29050820,37598781,47502706,58881962,71601789,85166876,99089206,113077257,126930876,140278911,262197723,142996196,142996197,262330501,177676190,186956710,195041665,264277749,207777957,207777958,212575090,265390103,219209307,215876286,211846436,206913735,200942353,193863904,263899929 Dl.O(d2) = 12243010,8268290,5335038,3279444,1928972,1928973,3279446,5335045,8268308,12243048,12243004,8268286,8268285,8268284,12243002,268252793,31186859,39869325,49891423,61371896,259494125,115773846,129670554,142998357,261329516,160028028,147764212,134633501,120836399,106587851,92289457,92289458,92289472,85166878,71601790,58881964,47502708,37598779,29050819,29050820,37598781,47502706,58881962,71601789,85166876,99089206,113077257,126930876,140278911,262197723,142996196,142996197,262330501,177676190,186956710,195041665,264277749,207777957,207777958,212575090,265390103,219209307,215876286,211846436,206913735,200942353,193863904,263899929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10145547, s2 = 13025459, dlinesl.size( ) = 2 s1 = 10145547, s2 = 13025459, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10145547, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9187173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14631255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3417920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3418114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3418551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3418678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6594525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6594525, s2 = 8835689, int(edited[s2]) = 0 s1 = 6594525, s2 = 8835689, d1 = 5, d2 = 19 Dl.O(d1) = 256355082 Dl.O(d2) = 258086412,259954590,258710044,140511314,265185985,215656252,215656251,265184541,274405953,265425277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6594525, s2 = 8835689, dlinesl.size( ) = 14 s1 = 3606174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3606174, s2 = 13308390, int(edited[s2]) = 0 s1 = 3606174, s2 = 13308390, d1 = 0, d2 = 7 Dl.O(d1) = 123598659 Dl.O(d2) = 29364135,22033637,22033639,22033886,22033887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3606174, s2 = 13308390, dlinesl.size( ) = 2 s1 = 3606174, s2 = 13308390, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3606174, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 9336232, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6858029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7995487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7995487, s2 = 2846511, int(edited[s2]) = 0 s1 = 7995487, s2 = 2846511, d1 = 31, d2 = 2 Dl.O(d1) = 410345,723297,1267366,254904915,255640003,32739862,25066870,18525928,13162691,8971854,8971858,13162713,10077885,6619256,6619254,6648244,6679437,10077104,10064047,6611558,4140938,2476466,2476471,1442901,1442899,1432476,814663,814658,1432498,2478985,4145983,6621427,10081672,268347099,35561322,45046891,45046890,56024269,68482945,56818605,56818604,69399074,61356688,61356687,74138050,262203785,127177710,127177711,140524353 Dl.O(d2) = 85369886,269063956,40776693,32020408,30686039,25582558,254637164,9268404,9268403,13539289,18974573,21427255,28675199,37197636,257210563,52491667,52491666,64155220,52491682,42134763,42134764,41963027,41963026,41332064,32484140,32484141,41332066,42134759,33177089,25433629,18838711,13422068,9176862,9176863,13422069,18838713,25433633,33177096,42134768,52491687,268614850,52487988,47705619,37784738,29222957,29222958,37784741,29224911,21909157,21909156,29224909,37786832,47707869,59106008,64155022,77303481,77303055,64154546,52303585,52303586,52303592,41963034,33020217,25294238,18720072,13325889,9105023,5957648,3725796,2230767,1293705,1293706,2230770,3725806,5957664,9105043,13325922,18720116,256115167,41962932,33020107,33020106,41962839,33020045,33020044,41962830,41962829,52303385,64154998,52303328,41962828,33020031,33019761,25293846,18719743,18719742,25293844,20294319,20294318,25293848,25293849,33019765,41962536,52303084,52671540,42285353,33305164,33305165,257285528,77543673,64375232,52501158,52501159,58213280,65888678,257612432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7995487, s2 = 2846511, dlinesl.size( ) = 32 s1 = 14165208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3497594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7108403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3421149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3421149, s2 = 16367818, int(edited[s2]) = 0 s1 = 3421149, s2 = 16367818, d1 = 69, d2 = 2 Dl.O(d1) = 113340556,127198570,140544352,153225928,165044318,175775969,185287772,193585710,200697780,206697946,211655341,215707814,219059528,221890550,274406841,228265808,229878047,231309708,266222679,234807764,235770025,236645840,237444269,238168999,238828635,266851421,240513805,240513804,240513805 Dl.O(d2) = 212716685,207939595,202143790,202143791,207939598,212716690,216622082,219859186,265435241,222590730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3669767, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11659478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659478, s2 = 9168792, int(edited[s2]) = 0 s1 = 11659478, s2 = 9168792, d1 = 1, d2 = 1 Dl.O(d1) = 21758042,21758043,15949635,11068529,7339181,4635831,2792486,2792484,4635828,7336602,4634323,4634322,7336595,4634330,4634331,7336620,8940985,11068469,7339142,4635808,4635805,2793617,1620439,921541,519553,291295,161175,88616,48718,27227,15418,15419,27231,267736079,161132,161131,291216,519363,921107,1619511,2791735,4634458,7336851,254763925,7348597,11082216,15966644,22071584,20334037,20334038,27269763,25775122,25775123,33564540,42581578,53021989,64997273,64997274,78270979,92298321,106596772,101887129,87912776,87912775,101887128,114132521,100098089,86130721,72531414,59796294,48411476,38505642,29941912,22578806,16396070,11412519,7584137,4797050,2891544,2891542,4797041,4893122,4893123,4901309,4901308,6471346,4895111,2951618,2951619,2950820,1711323,1711322,2950814,4896287,7688959,4865605,2931903,2901544,2901543,1702004,967522,967518,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,4863420,254794501,11626628,7744792,7744791,11626626,16639909,16411187,11444414,7610632,7610633,7732286,11612611,255119183,11612563,268230439,11445211,7616498,4818996,2904039,2904037,2555238,2555240,1711632,1711634,2951403,4897237,7735091,7583235,7583236,7685310,4862843,2930292,2930291,4862838,7685308,7728374,7600726,4866658,4866659,7690497,6588954,6588953,10025263,13344826,9118159,8844772,5764272,3590314,3590313,5764269,8844767,254539617,4815374,7611322,7614656,7614657,7599952,4807860,4807859,7599949,11431442,9281704,6080006,6080007,6080015,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,1404578,2428024,4056403,6472924,9854113,254786731,7607881,11441127,16425788,255923437,38545491,257544719,72586209,86183901,100146874,114177312,128064195,129772947,143103293,262338007,177780215,187053485,187053483,187053484,193598839,185302089,175791690,165061561,153243986,140562540,127216750,113358363,113358360,260563585,99356539,113358364,127216751,260034268,123946590,109809241,95606033,81572063,256436066,44775316,44775317,55683605,68082093,81572069,81572059,68082088,55683603,44775315,44775314,55683602,257861340,65886904,53818967,43293873,34196256,26323690,19597145,14041722,9654787,9654788,14041724,255714413,34196254,34196259,43293876,43293877,53818970,65886907,79250532,93377749,107799704,122204771,129626821,272216716,115730991,101686208,87712438,258768752,61323185,74106277,74375875,61599761,61599763,70838845,58124137,46755622,36876804,30214728,30214729,36795340,28298140,21090263,15149327,10448175,6887807,6887808,10448178,15149333,21090270,20193321,14488875,14488876,20193325,21090345,28298257,28298412,21090501,21090499,28298409,254740334,46681330,37048464,28548829,28548828,37048463,46926493,58292258,58292255,58292256,71007423 Dl.O(d2) = 21758042,21758043,15949635,11068529,7339181,4635831,2792486,2792484,4635828,7336602,4634323,4634322,7336595,4634330,4634331,7336620,8940985,11068469,7339142,4635808,4635805,2793617,1620439,921541,519553,291295,161175,88616,48718,27227,15418,15419,27231,267736079,161132,161131,291216,519363,921107,1619511,2791735,4634458,7336851,254763925,7348597,11082216,15966644,22071584,20334037,20334038,27269763,25775122,25775123,33564540,42581578,53021989,64997273,64997274,78270979,92298321,106596772,101887129,87912776,87912775,101887128,114132521,100098089,86130721,72531414,59796294,48411476,38505642,29941912,22578806,16396070,11412519,7584137,4797050,2891544,2891542,4797041,4893122,4893123,4901309,4901308,6471346,4895111,2951618,2951619,2950820,1711323,1711322,2950814,4896287,7688959,4865605,2931903,2901544,2901543,1702004,967522,967518,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,4863420,254794501,11626628,7744792,7744791,11626626,16639909,16411187,11444414,7610632,7610633,7732286,11612611,255119183,11612563,268230439,11445211,7616498,4818996,2904039,2904037,2555238,2555240,1711632,1711634,2951403,4897237,7735091,7583235,7583236,7685310,4862843,2930292,2930291,4862838,7685308,7728374,7600726,4866658,4866659,7690497,6588954,6588953,10025263,13344826,9118159,8844772,5764272,3590314,3590313,5764269,8844767,254539617,4815374,7611322,7614656,7614657,7599952,4807860,4807859,7599949,11431442,9281704,6080006,6080007,6080015,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,1404578,2428024,4056403,6472924,9854113,254786731,7607881,11441127,16425788,255923437,38545491,257544719,72586209,86183901,100146874,114177312,128064195,129772947,143103293,262338007,177780215,187053485,187053483,187053484,193598839,185302089,175791690,165061561,153243986,140562540,127216750,113358363,113358360,260563585,99356539,113358364,127216751,260034268,123946590,109809241,95606033,81572063,256436066,44775316,44775317,55683605,68082093,81572069,81572059,68082088,55683603,44775315,44775314,55683602,257861340,65886904,53818967,43293873,34196256,26323690,19597145,14041722,9654787,9654788,14041724,255714413,34196254,34196259,43293876,43293877,53818970,65886907,79250532,93377749,107799704,122204771,129626821,272216716,115730991,101686208,87712438,258768752,61323185,74106277,74375875,61599761,61599763,70838845,58124137,46755622,36876804,30214728,30214729,36795340,28298140,21090263,15149327,10448175,6887807,6887808,10448178,15149333,21090270,20193321,14488875,14488876,20193325,21090345,28298257,28298412,21090501,21090499,28298409,254740334,46681330,37048464,28548829,28548828,37048463,46926493,58292258,58292255,58292256,71007423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659478, s2 = 9168792, dlinesl.size( ) = 2 s1 = 11659478, s2 = 9168792, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659478, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3671209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7680781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10219004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3424317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7048961, s2 = 8257426, int(edited[s2]) = 0 s1 = 7048961, s2 = 8257426, d1 = 11, d2 = 29 Dl.O(d1) = 261829122,185343614,177074417,177074416,175949435,165247008,153447464,140767308 Dl.O(d2) = 113416088,99414874,99414875,113416090,127274567,140620415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3673113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054814, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13267969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3425570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3425847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3425847, s2 = 13233776, int(edited[s2]) = 0 s1 = 3425847, s2 = 13233776, d1 = 1, d2 = 8 Dl.O(d1) = 113448355 Dl.O(d2) = 99400976,256505480,59137189,255816550,55169956,67512879,80982610,257423632,117865205,115738625,111887666,97950137,97950135,97950132,84076334,70539485,70539486,84076338,74114281,61331694,49848325,39824501,39824500,49848318,49848316,256822832,87719980,86983001,73370258,73370259,268948598,89595002,75812630,62848963,62848964,51199717,51199718,255797038,255008932,28045702,20877765,14975910,10308441,10308443,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534947,11338611,16296484,15594414,10787929,10787931,11513345,7658858,7658859,11513347,16520338,17453210,23783470,20869315,20869316,27222648,34218392,255512846,14056755,9665921,9665923,14056759,19615884,26344757,34218399,27287658,27281412,20345907,14603158,14562941,10020990,10020989,13288380,18681223,20187023,14483749,9965432,9965433,14483750,10270238,6749037,6749038,10270240,14933681,11229362,7451240,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,10954758,15808639,12904815,8778451,5717273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3425847, s2 = 13233776, dlinesl.size( ) = 2 s1 = 3425847, s2 = 13233776, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3425847, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10212585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10212585, s2 = 9043293, int(edited[s2]) = 0 s1 = 10212585, s2 = 9043293, d1 = 1, d2 = 42 Dl.O(d1) = 102466596 Dl.O(d2) = 274190793,264411738,200775799,193674842,264117762,193674841,200775798,263787980,185392565,262560892,261535956,156258042,167846852,175902133,165193787,153390287,140708538,140708539,260377126,130405571,272075290,273587989,273345285,165193795,153390293,140708542,127352681,271327617,271308152,37874837,255877387,21978167,29305758,256505335,17333567,17333568,23650637,31138192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10212585, s2 = 9043293, dlinesl.size( ) = 34 s1 = 3675716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3675716, s2 = 8106892, int(edited[s2]) = 0 s1 = 3675716, s2 = 8106892, d1 = 81, d2 = 62 Dl.O(d1) = 127376595,261151641,140732705,127376597 Dl.O(d2) = 257833548,42098371,33144185 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6833601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6833601, s2 = 8375562, int(edited[s2]) = 0 s1 = 6833601, s2 = 8375562, d1 = 34, d2 = 18 Dl.O(d1) = 259009882,113506621 Dl.O(d2) = 127376665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4291276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8473902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6859853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9248612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9713646, s2 = 13470612, int(edited[s2]) = 0 s1 = 9713646, s2 = 13470612, d1 = 34, d2 = 11 Dl.O(d1) = 274344759,224370698,224370697,226476261,228310281,228310280,228310315,229919964,266113801,231348309,229919969,265904426,226476245,226476244,265859703,229919936,228310285,226476243,224370683,221946590,265053314,265192933,265557507,226476262,265714859,229919961,231348299,231348295,231348296,232628006,233784198,234836518,266454028,229919932,228310282,226476240,265442372,211735993,264301588,193701835,185424912,175939716,165235696,262368472,140755067,127399550,113529792,99518712,85572071,71985001,59247795,47851219,37931354,29365045,29365046,37931356 Dl.O(d2) = 19612118,26340673,34214245,34213389,34213390,34215916,34215914,31028886,23547873,23547872,31028883,34212034,34212035,31487360,23990355,17645567,17645569,23916826,21304673,21304670,24149803,19611247,268200618,255671482,30866667,30866666,35102739,42147871,52505924,43312155,43312156,53836578,65903473,79265634,93391852,258898850,257667612,66015327,53945172,43418587,34317301,26438527,19699207,14124426,14124427,19699212,22255904,16116916,11195245,7428212,4693850,4693849,7428206,11195230,16116882,22255850,29605966,22255932,22255933,26435099,26435098,268796057,29604867,22254946,16116245,11194839,11194569,11194571,16115603,16115605,11194497,11194496,10868791,7427799,4693652,4693651,7427790,9924673,9924675,8330461,6522801,4086954,254471713,9924648,12805014,8706711,8706710,12805012,18061320,24483959,32049361,34313476,256571795,24485151,18062169,12805506,255214677,24485149,32050632,37595136,47499247,37595154,255859745,15700369,10868773,10868772,15700366,21366166,28599234,37002461,37002462,46881101,52632857,42247642,33268265,25507626,25507625,33268263,42247641,255169940,30256021,25707639,25707640,25507574,25507572,33268215,29356455,25507635,18897271,15062688,10387339,6845748,6845751,4901725,2954294,2954297,4901740,7741287,11622972,255152134,24830432,24830430,21582689,21582688,28855358,30642770,30772150,30772149,26405611,26405610,23356866,22860291,22860290,30255505,30255079,30255082,30688865,23272415,21265373,15303272,15303273,21265377,23335613,17069364,254603724,255189708,39359137,47450353,256536756,21712347,15669929,10848052,7171691,5069157,3085891,2713608,1801041,1027898,1027899,580072,580071,1029464,1014564,571889,571888,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9713646, s2 = 13470612, dlinesl.size( ) = 14 s1 = 13761469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13761469, s2 = 11457746, int(edited[s2]) = 0 s1 = 13761469, s2 = 11457746, d1 = 14, d2 = 11 Dl.O(d1) = 262698713,175942646,165239464,165239465,175942650,175942749,180704770,175942675,165239511,262698715,153439772,140759719,261703439 Dl.O(d2) = 222259810,264305546,264582878,226720057,224646828,264305546,224646829,222259811,219479053,263997148,226720059,228527650,230116276,231526622,232790889,265612868,235921541,266035344,238284228,266363276,240082208,266689024,241915492,266872042,242529822,242172244,241786445,266993161,239903150,239334465,238716770,238043360,237302904,236488740,235596563,234617310,233542242,232359644,231052041,229595210,227955872,226089805,223946884,265154103,215150629,210983305,273969669,199718398,192429322,183963130,174300994,163453387,151570643,138868258,125536031,111730009,97808151,258626423,57727364,46377070,36517858,28053272,255363051,14981558,11537988,9063486,5926318,3705632,2219304,1287563,1287562,2219299,3705626,5926308,9063476,13279039,18667154,18678580,15057332,15057331,10662251,7041453,254731258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13761469, s2 = 11457746, dlinesl.size( ) = 2 s1 = 13761469, s2 = 11457746, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13761469, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 8538053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8538053, s2 = 709714, int(edited[s2]) = 0 s1 = 8538053, s2 = 709714, d1 = 18, d2 = 0 Dl.O(d1) = 153449206,262219981,262191382 Dl.O(d2) = 18092790,16453852,16453853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8538053, s2 = 709714, dlinesl.size( ) = 2 s1 = 8538053, s2 = 709714, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8538053, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 8034556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8538151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8538151, s2 = 7197819, int(edited[s2]) = 0 s1 = 8538151, s2 = 7197819, d1 = 25, d2 = 21 Dl.O(d1) = 153465736,140785425,140785424,262700721,153465737,140785425,127429062 Dl.O(d2) = 263890051,264495023,200816268,193722041,185448149,273118467,153465734,140785423,127429060,113557732,99545642,85598321,72011328,59275621,47880251,37962438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8538151, s2 = 7197819, dlinesl.size( ) = 8 s1 = 1834570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1834570, s2 = 10243727, int(edited[s2]) = 0 s1 = 1834570, s2 = 10243727, d1 = 10, d2 = 6 Dl.O(d1) = 47890306,59286607,258736237,99562265,113578844,127455178,127455167,113578836,113578837,127455169,140815616,153496821,140815620,140815612,140815613 Dl.O(d2) = 261706605,153496826,140815592,127455154,113578828,113578829,261157587,153496830,140815602,140815600,153496833,153496842,140815609,127455163,127455164,127455175,113578842,99562264,99562265,113578843,127455177,140815623,262222391,153496834,260581230,99562257,85611897,85611899,99562261,113578837,127455170,140815618,140815608,127455162,127455161,140815605,153496838,165292862,175988821,262702434,153496832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1834570, s2 = 10243727, dlinesl.size( ) = 2 s1 = 1834570, s2 = 10243727, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 1834570, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 3430841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3158384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658692, s2 = 10348113, int(edited[s2]) = 0 s1 = 11658692, s2 = 10348113, d1 = 19, d2 = 15 Dl.O(d1) = 24950151,18434447,18434446,24950149,32615791,41496291,41496296,257748939,63547016,76627233,65486852,53466105,42990966,42990968,53466107,65486817,78817219,78817227,65486828,65486827,78817226,258374972,48838183,256450657,30331168,38917643,48838189,60232560,60667665,49267619,39341877,30742854,23322020,23322019,30742851,39341866,269371807,39341855,39341856,49267590,60667627,60667646,259155164,72037483,59301125,47906141,37990075,29428230,29428229,37990073,37990065,37990064,47906131,59301110,72037466,73414826,87032292,87912213,79191528,79191527,72037488,59301131,59301132,72037490,60667654,49267610,49267609,59301095,59301096,72037446,59301162,59301161,72037526,61530756,61530755,257052786,99576279,99576276,85625882,72037499,258736817,90471155,76612633,63532649,257505342,258113365,85625886,85625887,85625768,72037366,72037367,72037455,59301104,59301105,72037458,72037464,59301108,47906129,47906130,59301109,47906164,47906163,47906176,37990099,268631796,29428246,22097159,22097160,29428247,37990098,47906174,268939534,37990059,29428223,22097147,15988523,15988522,22097145,15988533,15988534,22097165,29428257,37990111,47906073,37990016,29428238,29428239,37990090,47906084,37990031,37990030,44067824,37990022,29428192,255075612,15988515,22097131,24941314,18427894,18427893,24941313,32604744,41483509,51753789,44067829,34751268,34751269,44067831,54868490,67188248,258115346,59301046,47906092,37990038,37990037,40910590,40910591,34750789,26731171,19896650,14253068,14253067,19896649,26731169,26731167,26731168,34750786,41176644,41176645,257731339,51362826,41176648,32360852,24744536,24744537,24744551,18271418,18271416,18271417,18271403,12967592,12967591,12967579,8826298,8826297,12967577,18271376,12967598,8826307,5751000,5750999,8826305,12967593,18271404,256027032,24744497,268469377,32360781,24744492,24744493,32280105,256587197,51265131,62938458,51362762,51362761,41176577,32360792,256592819,41088027,32280114,24671768,18208184,12914617,8785139,8785140,12914619,268276661,32280122,41088042,256027034,32360829,41176618,47906111,255185668,63044006,62938508,62938507,64206068,255185666,72037430,59301080,47906113,47906112,59301077,72037424,85625825,99576241,113592578 Dl.O(d2) = 79330334,257225168,53900886,65967155,79330331,258323408,85132183,85132182,76450436,63406566,63406565,61318506,49835458,49835457,61318504,258872747,74182759,61402820,49923093,39903374,31226567,23743061,23743060,26402777,34277947,268757494,270072187,43376986,258250375,259496831,81143357,67677408,55337895,44491926,35114984,27028378,27028379,35114986,44491929,55337897,55486232,44636250,44491920,44491919,55337885,67677392,81143344,67827421,67677411,67677410,81143362,81143351,67677400,55337888,44491922,35114982,27028377,27028376,35114979,37863218,47787733,55486230,55486229,55337878,44636256,35251826,35251827,257324415,64784660,77978768,67677394,67677393,59187873,47787736,37863220,29293913,21966898,21966899,29293914,37863222,47787740,59187880,258728635,81143350,81143349,91903228,77978773,64784662,64784663,67677386,59187872,59187871,71927460,77278298,64129927,257182769,41940757,257771977,259013565,83837444,257993736,46277864,36425167,255781545,14909907,14909908,20804197,27966654,36425171,31541251,24038094,17686442,17686443,24038095,29276907,21952998,21952999,29276908,37843817,31541212,24038069,24038068,31541210,258899013,81295956,95352079,86317800,86317801,81581894,68091884,55694232,55694229,59982655,48590652,38674243,255932061,22715023,30096786,38674253,48590666,59982672,72720226,86317839,100280056,100280055,100280103,86317845,72720239,59982679,55488956,44638967,44638966,55488954,67830145,258787628,60162733,60162734,53459910,42985053,33931034,33931035,42985056,53459914,65480469,72720167,59982624,59982625,55489045,55489046,48590616,48590617,38674283,38674246,30096782,30096783,256974409,59982640,72720190,86317820,86317752,72720096,72720097,86317758,81296053,67830272,55489051,55489050,64104781,52255854,52255855,55489058,44639062,257324715,62986861,258261714,60695453,59982535,59982536,59982590,48590593,38674202,30096759,22715007,22715006,30096734,256430987,22714983,16510717,16510718,22714986,22715041,16510748,11505929,11505928,16510747,22715040,22715009,22715008,256974407,38674176,30096724,22714978,22714979,30096726,30096803,22715035,16510745,11505927,7653942,4842925,2918449,2918448,4842923,7653939,11505920,16510719,22714988,30096736,22715028,16510742,268232337,30096794,38674266,48590682,59982557,59982558,67630595,67630594,81096123,72720112,72720113,72720109,59982601,48590601,48590602,59982547,48590564,38674178,30096745,30096744,38674192,48590582,59982572,72720126,72720108,72720107,86317766,74805589,62008808,50517017,50517018,62008809,74805590,74805594,62008812,50517020,40481637,31786953,31786952,38674190,38674189,40481584,40481583,257686073,62008732,62008734,62008834,50517044,40481668,40481669,50516966,40481585,40481586,50516968,62008699,50516913,50516914,62008700,74805515,258917845,74805541,270919997,88438289,270919999,116537492,130376066,116537495,116537494,123971862,109832380,95628543,81595321,68106073,68106074,81595324,95628549,88438226,88438227,93244675,93244676,107647476,107647475,109832389,109832394,109832387,95628575,81595347,81595348,81595344,81595343,95628572,109832402,123971874,260488888,125919040,125919041,139268472,137653401,123971875,112084516,112084515,125919039,136360332,136360330,122375972,260960799,136360329,122375980,107949408,260363659,107949398,93511960,79375191,79375190,93511958,107949395,93511963,79375194,66006852,66006853,79375197,93511968,107949384,93511945,79375178,79375179,93511946,107949377,107949407,107949396,93511980,79375208,66006861,53936278,43409173,34307753,34307752,43409168,53936268,66006842,79375172,93511934,93511972,271118739,93511942,79375176,79375177,271118737,103859548,118004121,103859561,89755929,75977041,62994319,51315250,41131772,41131773,51315252,62994321,62994339,51315271,51315272,51315268,41131782,41131781,51315266,62994335,75977030,269455599,51315244,62994313,62994333,257142037,32318103,255621595,18233223,24703800,32318097,41131771,51315224,41131758,32318089,24703795,24703796,32318090,41131759,51315231,51315263,51315264,51315242,51315241,62994307,62994308,62994304,51315248,257728245,75977013,89755898,103859517,118004087,131831347,118004148,118004147,131831417,131831418,131831375,131831374,131831423,118004158,103859583,89755942,89755941,103859580,118004155,118004094,118004095,260806107,118004099,131831362,131831371,131831372,145090264,157524858,150542807,137513995,137513996,123791939,109604166,95352024,95352012,81295879,67830083,67830084,81295889,81295892,67830086,67830085,258544231,67830101,75976986,62994261,259303348,5730958,3568338,3568339,5730923,8798131,12932868,255621581,270465749,53361515,256168050,76119168,268768696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658692, s2 = 10348113, dlinesl.size( ) = 20 s1 = 3431366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9409882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6860349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3431542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3431542, s2 = 4612448, int(edited[s2]) = 0 s1 = 3431542, s2 = 4612448, d1 = 7, d2 = 5 Dl.O(d1) = 113599051,113599050,127473742,140832313,153511569,153511570,165305784 Dl.O(d2) = 185474346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3431542, s2 = 4612448, dlinesl.size( ) = 2 s1 = 3431542, s2 = 4612448, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3431542, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 3431793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3431793, s2 = 14173573, int(edited[s2]) = 0 s1 = 3431793, s2 = 14173573, d1 = 177, d2 = 156 Dl.O(d1) = 113603202,127477580,140835871,153514878,165308741,176003083,263891167,206817688 Dl.O(d2) = 94352347,80295894,80295893,90476711,90476675,269999156,51759685,41489274,41489273,51759683,63538455,71855017,71855018,85439723,91675307,77748056,64565106,52664291,52664292,64565110,54608336,43865201,34594315,34594316,43865205,34594331,26607017,26607015,34594324,41489323,41489325,51759763,63538528,54608394,43865243,43865242,52664359,52664360,64565175,76618640,68137196,55739279,55739277,68137193,78434105,91675334,91675335,90476687,80295898,80295899,90476693,90476665,76618144,63538440,51759672,41489269,41489267,51759663,63538432,76618138,76618170,63538482,51759711,51759712,51759917,41489481,32610013,24945607,18431164,18431163,24945606,32610011,41489478,51759911,63538676,66866496,80295874,76618339,63538710,63538711,51760674,41490193,41490194,51760678,63539413,76618982,84680146,98605203,85493695,71908675,71908674,76618988,85493707,71908697,59170491,59170490,63538913,258989071,63539416,63538699,51759935,41489495,41489496,51759939,63538706,51760156,51760155,63538618,51759856,41489420,41489421,51759859,63538622,76618271,90476774,271508881,104640781,90477273,90477274,104640783,104640454,90476821,76618343,257748467,51759949,59170493,59170494,257206380,41489695,41489694,41489702,41489719,41489720,37848317,29280577,21955777,21955776,29280573,37848308,37848307,256607437,32610093,41489555,51760007,41489553,257160943,32610617,24946094,18431500,13092031,13092032,18431503,24946097,31971075,31971076,31971083,31971081,24946149,24946147,24946152,256607453,24945763,18431269,13091886,8921564,5822097,3632082,3632081,5822094,8921558,13091812,8921510,8921511,13091817,13091828,8921646,5822145,3632106,3632107,5822150,8921656,13092055,18431359,18007298,18007299,24418471,18431529,18431530,18431562,18431561,24945958,18431403,13091972,13091973,18431401,24945956,256607470,32610151,24945831,18431319,18431318,18431252,13091875,13091874,18431247,18431235,13091863,254635559,5822089,8921548,13091867,18431243,24945727,32610137,24946036,24946035,32610400,32610399,41489257,41489256,51759648,51760089,51759585,41489191,32609808,24945459,24945460,32609811,32610473,24945975,18431411,13091978,8921615,8921616,8921626,8921627,13092000,18431450,24946030,32609752,41489116,41489348,51759784,63538365,76618054,63538323,269961683,63539403,76618107,77419242,77419240,91338129,105556408,104640468,90477201,76618883,63539312,63539311,76618879,259616039,260232521,104640401,104640439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3431793, s2 = 14173573, dlinesl.size( ) = 2 s1 = 3431793, s2 = 14173573, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3431793, Dl.E( ) = 194, 5.89e-05 seconds used appending s1 = 6755402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6755402, s2 = 4114759, int(edited[s2]) = 0 s1 = 6755402, s2 = 4114759, d1 = 156, d2 = 71 Dl.O(d1) = 258114301,270835407 Dl.O(d2) = 153710354 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6757302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9580509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7658820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7658820, s2 = 11501587, int(edited[s2]) = 0 s1 = 7658820, s2 = 11501587, d1 = 2, d2 = 4 Dl.O(d1) = 271353960 Dl.O(d2) = 215182506,211023152,211023153,205933811,199778871,192499412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7658820, s2 = 11501587, dlinesl.size( ) = 2 s1 = 7658820, s2 = 11501587, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7658820, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 3681375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3681375, s2 = 11000288, int(edited[s2]) = 0 s1 = 3681375, s2 = 11000288, d1 = 12, d2 = 21 Dl.O(d1) = 127517930 Dl.O(d2) = 255076737,7386588,7386586,11136286,15596827,15596828,10789579,10789575,15596853,16298465,11340159,11340157,16298451,18688529,13295204,9077179,9077178,13295198,18688513,14940303,10275458,6752823,4231424,2529993,254641822,20839664,27991413,20827042,14928605,10265587,10265586,14928601,254096820,25367443,33102009,25913759,19251725,13756134,13756133,19251723,22724283,16519072,16519073,22466884,29833557,28902815,28902401,21627802,21627803,25880229,25880230,28444734,28444735,36944288,28894061,28894062,30101508,22719586,16514565,16514564,21062876,16517107,14606707,10289401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3681375, s2 = 11000288, dlinesl.size( ) = 26 s1 = 3681530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3681530, s2 = 5621245, int(edited[s2]) = 0 s1 = 3681530, s2 = 5621245, d1 = 4, d2 = 6 Dl.O(d1) = 127520318 Dl.O(d2) = 229942183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3681530, s2 = 5621245, dlinesl.size( ) = 2 s1 = 3681530, s2 = 5621245, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3681530, Dl.E( ) = 32, 1.6e-05 seconds used appending s1 = 10164560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8836575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8553684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6998949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9738832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9738832, s2 = 10242752, int(edited[s2]) = 0 s1 = 9738832, s2 = 10242752, d1 = 25, d2 = 7 Dl.O(d1) = 50436995,50436996,61927560,74721199,88349263,257192352 Dl.O(d2) = 193316762,200469865,205864973,199697306,192405651,183936558,273300192,163422235,151538745,138836127,125504263,111698526,97777045,83918976,70392927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9738832, s2 = 10242752, dlinesl.size( ) = 2 s1 = 9738832, s2 = 10242752, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9738832, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 7076136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7076136, s2 = 2858215, int(edited[s2]) = 0 s1 = 7076136, s2 = 2858215, d1 = 110, d2 = 150 Dl.O(d1) = 262229115 Dl.O(d2) = 34168035,34168036,28086802,20913533,17882731,12666433,8601886,5589766,3467883,3467884,5589767,8601889,12666439,12370026,12370023,12405483,10017011,6584299,6584296,10017615,10017560,6584316,4125380,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404338,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384158,13015394,12070309,8116750,8116751,12070311,17166505,13508527,9242799,9242800,10700518,12378318,12378317,12251981,12251980,17386581,12381234,8366435,8366433,8370641,5402299,3321491,1953686,1953687,3321495,5402304,7680013,5402256,3321464,3321465,5402237,8370538,12386948,12262103,8281001,8281002,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,10465082,15173974,11528750,7669280,4852501,3459343,2051154,1176538,660455,660453,1176528,2051133,3459302,5576059,8380638,8380639,10980803,15845172,21932485,254331864,30455560,31200424,39880566,49901664,61382231,268915290,85582369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7076136, s2 = 2858215, dlinesl.size( ) = 8 s1 = 11660016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8163575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8163575, s2 = 14639620, int(edited[s2]) = 0 s1 = 8163575, s2 = 14639620, d1 = 23, d2 = 10 Dl.O(d1) = 3712284,3712285,5937018,9078124,9078133,256111707,41924845,269493353,34116601,39412723,30807600,30807598,39412714,42625646,33601113,26677052,26677050,34670328,43944551,44799305,38874049,254095486,41243797,48184457,38275026,29708325,22353125,16201920,11262771,7476880,4725387,4725385,7476900,11262812,14226148,14226168,9779821,9779825,14226182,16827011,19303500,19303498,25970145,26703592,19882459,19882458,14584125,14584127,20322026,19430875,13902921,13902922,19430883,26125431,25612988,18999812,18738652,18738622,18738618,25316138,33044014,41987772,33771296,25962013,19296483,19296486,25962022,33771310,36486782,36486780,43053977,53533892,53533889,43053975,33995110,26153452,19454444,19454445,26153455,31766324,31766323,40460817,32051956,24486388,22228016,16094313,11178655,11178656,16094315,22228020,29575214,22227985,16094295,11178647,7417064,7417063,11178643,255457657,29575194,38141856,259372395 Dl.O(d2) = 125515374 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3437094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3437094, s2 = 4464065, int(edited[s2]) = 0 s1 = 3437094, s2 = 4464065, d1 = 1, d2 = 1 Dl.O(d1) = 113753264,127621979,140971676,140971675,153639313,165420783,176103511,185568267,176103508,176103509,185568268,185568267,185568266,185568270,185568269,185568273,193827963,185568271,176103517,176103516,273545697,176103518,185568275,193827963,193827962,263147407,165420786,165420785,176103512,261332696 Dl.O(d2) = 113753264,127621979,140971676,140971675,153639313,165420783,176103511,185568267,176103508,176103509,185568268,185568267,185568266,185568270,185568269,185568273,193827963,185568271,176103517,176103516,273545697,176103518,185568275,193827963,193827962,263147407,165420786,165420785,176103512,261332696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3437094, s2 = 4464065, dlinesl.size( ) = 2 s1 = 3437094, s2 = 4464065, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3437094, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10222909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10222909, s2 = 14164603, int(edited[s2]) = 0 s1 = 10222909, s2 = 14164603, d1 = 1, d2 = 1 Dl.O(d1) = 272583446,261785258,260064844,19496719,18939166,18939167,25551641,254979430,49715644,48242505,48242504,42577595,33560914,25771537,19131504,19131502,254661616,21054444,21054443,17244648,17244649,12819895,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,15797708,270971974,127197630,261169218,113773296,99759279,99759278,113773295,261169221,261476970,262232528,140989715,127641362,113773298,99759280,99759281,261156409,127428040,113556830,113556831,113556829,113556828,113556834,127428043,260579039,85597601,72010607,72010608,85597603,99544843,113556825,99544858,85597617,72010621,72010620,85597616,99544854,113556840,262221313,175965508,182442056,260306844,148985419,135746702,135746703,148985424,148985425,135746704,121807202,121807203,135746705,148985433,161290750,172490549,172490557,172490556,172490564,161290759,148985438,148985437,161290758,172490563,182442062,191144203,191144211,198633955,204978903,271112164,260949448,210372701,210372698,205148751,198841680,260352782,210298918,205054532,198723890,198723891,258474074,191251193,182570925,182570924,256182960,256182962,135960124,255303150,112603812,126472761,256702524,257856736,257262360,139844455,126472847,112603799,98608389,98608388,257262366,126472861,139844458,126472851,112603819,112603818,98608425,268523948,126472870,139844474,152558203,271770193,258474114,71119036,257262364,98608395,84683467,84683456,71119010,71119009,71119028,71119027,71119033,84644672,256321556,58366279,58401359,47029376,257440521,37140950,37140949,47029364,58401337,257262368,257440507,47029318,47029338,37140915,255831159,15405190,10647969,10647968,15405185,255400575,28627651,21389426,15405192,10647970,10647971,255400577,28627679,37140930,47029346,58360292,46990144,37105385,28597369,28597370,37105387,37105390,28597372,21364585,15385466,15385467,21364581,15385464,15385463,21364580,255827032,255399201,15385462,15385461,21364578,28597364,37105377,46990135,58360281,46990150,37105391,37105392,46990151,58360299,71076961,75454626,62531991,50928160,50928161,52843879,52843878,258424785,258966718,64763831,64763832,77958845,77410334,64260597,64260596,77410333,91328893,81183956,257262332,71990341,62532117,50928280,40808673,40808674,47856819,37936840,37936841,47856821,41221320,33991701,26150254,26150253,33991699,43050959,53531188,65556225,258440942,258440940,78891306,78891307,258074784,81250734,95311645,109568455,120993940,106740993,106740992,107409338,105449823,105449822,107949104,93511638,79374784,66006466,66006467,79374786,79374777,66006460,66006459,66006458,79374776,93511629,107949095,115945479,107949097,257914288,257314584,87925467,74322482,74322483,87925477,87925479,74322485,61546417,50068418,50068419,61546408,50068413,40049130,257070815,61546405,74322469,260116370,66838816,54579429,43834215,43834216,34561318,26574591,26574592,34561320,268610196,22867918,30264297,38848090,41659365,51967180,256516428,54579430,43834215,43834216,43834218,43834210,34561313,26574589,26574590,34561316,43834214,257881735,60118336,258174355,65888545,53820802,43295927,43295928,256184533,14042772,14042773,19598528,26325278,19598440,19598439,19598523,26325400,34198105,26325275,26325276,19598674,14042898,14042897,19598710,26325523,255304395,14042846,14042910,19598730,255304377,255304375,9655543,9655544,14042776,254956090,14042733,9655598,9655600,13211854,13211853,18591941,268484767,41776012,52089777,63908978,258476539,53820666,43295810,43295811,270068931,53820663,43295808,257264403,65888387,79251864,66842789,54583163,54583164,66842785,54583156,43838215,34566462,26580125,26580124,256719791,34566463,26580114,256719789,34566469,43838224 Dl.O(d2) = 272583446,261785258,260064844,19496719,18939166,18939167,25551641,254979430,49715644,48242505,48242504,42577595,33560914,25771537,19131504,19131502,254661616,21054444,21054443,17244648,17244649,12819895,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,15797708,270971974,127197630,261169218,113773296,99759279,99759278,113773295,261169221,261476970,262232528,140989715,127641362,113773298,99759280,99759281,261156409,127428040,113556830,113556831,113556829,113556828,113556834,127428043,260579039,85597601,72010607,72010608,85597603,99544843,113556825,99544858,85597617,72010621,72010620,85597616,99544854,113556840,262221313,175965508,182442056,260306844,148985419,135746702,135746703,148985424,148985425,135746704,121807202,121807203,135746705,148985433,161290750,172490549,172490557,172490556,172490564,161290759,148985438,148985437,161290758,172490563,182442062,191144203,191144211,198633955,204978903,271112164,260949448,210372701,210372698,205148751,198841680,260352782,210298918,205054532,198723890,198723891,258474074,191251193,182570925,182570924,256182960,256182962,135960124,255303150,112603812,126472761,256702524,257856736,257262360,139844455,126472847,112603799,98608389,98608388,257262366,126472861,139844458,126472851,112603819,112603818,98608425,268523948,126472870,139844474,152558203,271770193,258474114,71119036,257262364,98608395,84683467,84683456,71119010,71119009,71119028,71119027,71119033,84644672,256321556,58366279,58401359,47029376,257440521,37140950,37140949,47029364,58401337,257262368,257440507,47029318,47029338,37140915,255831159,15405190,10647969,10647968,15405185,255400575,28627651,21389426,15405192,10647970,10647971,255400577,28627679,37140930,47029346,58360292,46990144,37105385,28597369,28597370,37105387,37105390,28597372,21364585,15385466,15385467,21364581,15385464,15385463,21364580,255827032,255399201,15385462,15385461,21364578,28597364,37105377,46990135,58360281,46990150,37105391,37105392,46990151,58360299,71076961,75454626,62531991,50928160,50928161,52843879,52843878,258424785,258966718,64763831,64763832,77958845,77410334,64260597,64260596,77410333,91328893,81183956,257262332,71990341,62532117,50928280,40808673,40808674,47856819,37936840,37936841,47856821,41221320,33991701,26150254,26150253,33991699,43050959,53531188,65556225,258440942,258440940,78891306,78891307,258074784,81250734,95311645,109568455,120993940,106740993,106740992,107409338,105449823,105449822,107949104,93511638,79374784,66006466,66006467,79374786,79374777,66006460,66006459,66006458,79374776,93511629,107949095,115945479,107949097,257914288,257314584,87925467,74322482,74322483,87925477,87925479,74322485,61546417,50068418,50068419,61546408,50068413,40049130,257070815,61546405,74322469,260116370,66838816,54579429,43834215,43834216,34561318,26574591,26574592,34561320,268610196,22867918,30264297,38848090,41659365,51967180,256516428,54579430,43834215,43834216,43834218,43834210,34561313,26574589,26574590,34561316,43834214,257881735,60118336,258174355,65888545,53820802,43295927,43295928,256184533,14042772,14042773,19598528,26325278,19598440,19598439,19598523,26325400,34198105,26325275,26325276,19598674,14042898,14042897,19598710,26325523,255304395,14042846,14042910,19598730,255304377,255304375,9655543,9655544,14042776,254956090,14042733,9655598,9655600,13211854,13211853,18591941,268484767,41776012,52089777,63908978,258476539,53820666,43295810,43295811,270068931,53820663,43295808,257264403,65888387,79251864,66842789,54583163,54583164,66842785,54583156,43838215,34566462,26580125,26580124,256719791,34566463,26580114,256719789,34566469,43838224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10222909, s2 = 14164603, dlinesl.size( ) = 2 s1 = 10222909, s2 = 14164603, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10222909, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8065000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9533272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3438644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3439018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3686086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6706052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6695480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10174597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7974669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7974669, s2 = 11553988, int(edited[s2]) = 0 s1 = 7974669, s2 = 11553988, d1 = 75, d2 = 44 Dl.O(d1) = 254526686,9448956,11176017,16091293,21209385,15242842,15242843,21209386,19307795,13805408,13805409,19307797,25975192,22224333,22224326,16091196,16091195,22224325,22223608,18872223,13448242,11175800,11175798,16033236,22153376,25974806,25974804,33785407,42818173,48049581,38136257,29570101,22223477,16090473,11175397,11175398,16090475,22223273,16090341,11175312,7414469,7414468,11175310,16090337,22223269,254236292,25114422,18564010,13191737,8992854,8992855,13191711,13191710,18563958,25114355,32817926,32817927,32818215,32818214,38136748,38136749,48050122,48050138,38136767,29570594,29570593,22224852,22224851,255080816,32818227,25114545,18564099,18564102,25114556,32818065,32818064,41738949,52053648,268084192,32818050,25114384,25114385,22225907,16092555,16092553,22224794,16091605,11176268,267974016,22224787,29571419,38137543,48050813,41738995,32818119,25114454,25114453,32818117,33643769,42672971,33643767,25840528,25840527,33643763,42672961,53123849,62075541,62075542,257513920,63872650,52053739,255895484,32818210,41739074,52053741,63872652,53123839,42672948,33643753,33643752,42672946,255457350,40547625,31849509,31849510,36702338,28211186,21017829,15095517,15095516,21017824,28211173,255952990,256391692,41739064,52053731,57965453,57965452,70683628,57965462,46589087,36702309,36702308,46589085,53117271,42665457,33635874,33635873,255895590,59441690,52053630,41738920,32818033,255457312,48137147,48137146,41842235,32914881,25201904,25201905,32914882,256061580,29567241,30895716,23462580,255309629,6391245,6391243,9715062,14120973,19694344,26432397,29660561,22308245,16161575,11228733,7450674,4707530,4707531,7450675,11228737,16161535,13908135,13908138,11228724,267890953,4707529,259378363 Dl.O(d2) = 265563753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7974669, s2 = 11553988, dlinesl.size( ) = 52 s1 = 9147239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9147239, s2 = 16345374, int(edited[s2]) = 0 s1 = 9147239, s2 = 16345374, d1 = 15, d2 = 13 Dl.O(d1) = 255360280,29661444,255360278,38227721,48137850,59524896,260595981,127682981,259248510,153696584,165475253,176153912,176153910,176153911,262123930 Dl.O(d2) = 258630544,106899639,106899637,106899638,121166752,260477664,160341252,160341251,171543937,262131782,204361134,209750184,273691026,220829444,223410287,222161356,219368623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9147239, s2 = 16345374, dlinesl.size( ) = 2 s1 = 9147239, s2 = 16345374, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9147239, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 3687298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3440406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2872300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9360553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9360553, s2 = 14481327, int(edited[s2]) = 0 s1 = 9360553, s2 = 14481327, d1 = 1, d2 = 1 Dl.O(d1) = 77587435,64418638,64418639,77587436,77587428,64418633,52544399,42185594,33225453,25477296,18875702,18875703,25477298,33225456,42185599,52544408,64418643,64418641,61894454,61894455,74688040,74688042,74688041,64418645,52544409,52544410,64418646,74688043,61894458,50403917,50403916,40368512,31673904,254327928,254327930,31673903,40368509,255378732,74688036,88315540,102310940,102310941,116402931,130239152,259273912,143566444,155105264,142461005,260678252,101080321,87084099,73466623,258838458,49316702,39388950,30786682,23361401,23361402,30786683,39388952,49316705,48148069,38238654,29673443,22322150,16176828,11243812,11243813,11243800,7463401,7463402,11243802,255464713,16174558,16175287,11242589,7463026,7461747,4715186,2840564,2840563,2841508,2841509,2840662,1647799,1647800,2840647,1647789,936883,527923,527922,936879,1647777,2840620,4715262,7461843,11241850,16174395,22319335,29670489,29670840,22319672,22016435,22016436,16177106,11244059,11243223,11243224,11726431,16772562,11726311,11726313,16772564,23012295,23012740,16773195,16773194,23012897,29670857,22319692,16174758,11242182,254554881,3001146,1742854,990276,990277,1742857,3001150,4968841,7462702,11242330,255464745,29670993,23011592,23011591,22322469,16177109,16177110,11725698,7828037,4968857,3001159,1742866,990280,990281,1742868,3001158,4968856,7462267,11120543,7829335,4969702,3001684,3001683,4969699,7829330,11727474,15583640,15583641,255044554,11725486,11725487,7829104,7829103,11333918,11333919,11791500,16858994,23118530,30416945,23011844,16772156,16772157,23011846,30416947,37160668,47051252,58425946,52343482,256916930,258107132,259356148,258220884,257032426,100830322,113829585,259356148,258843640,100830323,86849298,268664956,60489759,257032426,100830322,114880873,100830323,258220886,86849299,268664956,255536824,30559975,23142996,16882956,16882957,23142998,255536828,58302831,71017965,73261920,60516251,49113837,49113836,60516250,73261918,63114599,258348023,51417805,257734491,41221215,256083415,18295091,18295093,23359665,255229019,8840369,5761314,5761313,8840366,12986000,18295098,256595299,51417814,63114607,76120114,63114596,51417803,41221217,41221218,257734493,61217633,49739408,39721200,31043629,23560751,17250524,12131420,12131419,17250517,23560739,31043620,28101818,20925933,15018102,15018103,20925935,28101820,36573235,46438059,46438060,57793245,70493863,259259071,111830317,100537249,86576090,86576089,100537248,260648241,141068917,141068916,127718100,113847158,113847159,113847161,99831176,85877306,72285253,72285254,72285255,59551081,48164490,38255182,29689942,29689943,38255183,48164492,59551083,60242254,72978517,72285250,72285249,65045732,53062692,42614845,42614846,52331998,47683632,38309779,29741225,22382396,17366938,16626042,11597161,7719903,7719904,11597163,16626047,17735247,255583101,31596521,40280671,48015239,38104993,29541685,22198377,16069365,16069366,11158615,11158612,16069127,16069126,17474519,16070546,16070545,22199604,268400907,22197743,16068794,16068795,22197744,20308856,14574477,10028864,6591067,4129242,4129243,4675113,7400525,4675399,4675400,7400537,8301680,8301679,7291695,4598154,2766213,2766214,4598140,7291672,7291636,7291637,11014738,12297968,11157873,8011538,8011536,11967822,10388450,6846508,4295978,2568366,1478743,1478742,2568362,4295964,6846455,5369587,3301017,1941504,1109038,622414,345915,345917,622421,1109048,1941525,3301056,5369664,8321648,7507249,7507246,7986324,7986327,11933745,255526991,256475063,38277122,256196524,22421697,29786514,30424549,23019689,23019690,23949841,31441668,29785126,29785127,29181341,21870535,21870536,16779075,11731554,7832238,7832239,11397399,16376545,18351802,18351803,16203953,16203956,12462240,12425888,12425886,11915960,11915961,12298158,17446588,22198306,16255786,16255783,17473053,16254395,11300816,11300819,16254408,18352125,17473743,255561537,31292566,37716567,39797241,32489810,32489811,30423581,23805897,17472739,17472740,23805899,31291978,31292481,29786415,22421546,22421545,29785077,22419716,18351846,13028768,11575385,11301788,11301789,11263800,11263799,16203281,22354713,29709992,24204663,24204664,29786497,23018493,16778090,11730887,11730886,8321207,5369411,5369412,8321210,12319513,17473888,17473656,12319313,12319312,17473652,21742362,15691734,15691733,21742360,15816263,10960793,10960792,15816261,18352167,13029043,8871981,5784301,3605206,3605207,5784305,8871756,13028689,13028803,8871843,8564631,8564633,12617253,17638016,17638015,23983979,28137613,28137612,23983968,256532623,50190063,61674097,258894297,90458321,76599885,63520423,51742679,41473989,32596984,24935020,254952576,13085990,8917379,5819365,3630162,3630161,5819421,8917553,6011556,6011555,8777837,8917512,9639152,14022291,14105947,19676649,26411809,34287118,43386170,39144858,39144857,30546943,23128677,23128676,255657788,11799565,11799566,16868404,23128679,30546945,39144859,49074721,60477886,73224435,73224434,86837082,100818388,100826768,86845524 Dl.O(d2) = 77587435,64418638,64418639,77587436,77587428,64418633,52544399,42185594,33225453,25477296,18875702,18875703,25477298,33225456,42185599,52544408,64418643,64418641,61894454,61894455,74688040,74688042,74688041,64418645,52544409,52544410,64418646,74688043,61894458,50403917,50403916,40368512,31673904,254327928,254327930,31673903,40368509,255378732,74688036,88315540,102310940,102310941,116402931,130239152,259273912,143566444,155105264,142461005,260678252,101080321,87084099,73466623,258838458,49316702,39388950,30786682,23361401,23361402,30786683,39388952,49316705,48148069,38238654,29673443,22322150,16176828,11243812,11243813,11243800,7463401,7463402,11243802,255464713,16174558,16175287,11242589,7463026,7461747,4715186,2840564,2840563,2841508,2841509,2840662,1647799,1647800,2840647,1647789,936883,527923,527922,936879,1647777,2840620,4715262,7461843,11241850,16174395,22319335,29670489,29670840,22319672,22016435,22016436,16177106,11244059,11243223,11243224,11726431,16772562,11726311,11726313,16772564,23012295,23012740,16773195,16773194,23012897,29670857,22319692,16174758,11242182,254554881,3001146,1742854,990276,990277,1742857,3001150,4968841,7462702,11242330,255464745,29670993,23011592,23011591,22322469,16177109,16177110,11725698,7828037,4968857,3001159,1742866,990280,990281,1742868,3001158,4968856,7462267,11120543,7829335,4969702,3001684,3001683,4969699,7829330,11727474,15583640,15583641,255044554,11725486,11725487,7829104,7829103,11333918,11333919,11791500,16858994,23118530,30416945,23011844,16772156,16772157,23011846,30416947,37160668,47051252,58425946,52343482,256916930,258107132,259356148,258220884,257032426,100830322,113829585,259356148,258843640,100830323,86849298,268664956,60489759,257032426,100830322,114880873,100830323,258220886,86849299,268664956,255536824,30559975,23142996,16882956,16882957,23142998,255536828,58302831,71017965,73261920,60516251,49113837,49113836,60516250,73261918,63114599,258348023,51417805,257734491,41221215,256083415,18295091,18295093,23359665,255229019,8840369,5761314,5761313,8840366,12986000,18295098,256595299,51417814,63114607,76120114,63114596,51417803,41221217,41221218,257734493,61217633,49739408,39721200,31043629,23560751,17250524,12131420,12131419,17250517,23560739,31043620,28101818,20925933,15018102,15018103,20925935,28101820,36573235,46438059,46438060,57793245,70493863,259259071,111830317,100537249,86576090,86576089,100537248,260648241,141068917,141068916,127718100,113847158,113847159,113847161,99831176,85877306,72285253,72285254,72285255,59551081,48164490,38255182,29689942,29689943,38255183,48164492,59551083,60242254,72978517,72285250,72285249,65045732,53062692,42614845,42614846,52331998,47683632,38309779,29741225,22382396,17366938,16626042,11597161,7719903,7719904,11597163,16626047,17735247,255583101,31596521,40280671,48015239,38104993,29541685,22198377,16069365,16069366,11158615,11158612,16069127,16069126,17474519,16070546,16070545,22199604,268400907,22197743,16068794,16068795,22197744,20308856,14574477,10028864,6591067,4129242,4129243,4675113,7400525,4675399,4675400,7400537,8301680,8301679,7291695,4598154,2766213,2766214,4598140,7291672,7291636,7291637,11014738,12297968,11157873,8011538,8011536,11967822,10388450,6846508,4295978,2568366,1478743,1478742,2568362,4295964,6846455,5369587,3301017,1941504,1109038,622414,345915,345917,622421,1109048,1941525,3301056,5369664,8321648,7507249,7507246,7986324,7986327,11933745,255526991,256475063,38277122,256196524,22421697,29786514,30424549,23019689,23019690,23949841,31441668,29785126,29785127,29181341,21870535,21870536,16779075,11731554,7832238,7832239,11397399,16376545,18351802,18351803,16203953,16203956,12462240,12425888,12425886,11915960,11915961,12298158,17446588,22198306,16255786,16255783,17473053,16254395,11300816,11300819,16254408,18352125,17473743,255561537,31292566,37716567,39797241,32489810,32489811,30423581,23805897,17472739,17472740,23805899,31291978,31292481,29786415,22421546,22421545,29785077,22419716,18351846,13028768,11575385,11301788,11301789,11263800,11263799,16203281,22354713,29709992,24204663,24204664,29786497,23018493,16778090,11730887,11730886,8321207,5369411,5369412,8321210,12319513,17473888,17473656,12319313,12319312,17473652,21742362,15691734,15691733,21742360,15816263,10960793,10960792,15816261,18352167,13029043,8871981,5784301,3605206,3605207,5784305,8871756,13028689,13028803,8871843,8564631,8564633,12617253,17638016,17638015,23983979,28137613,28137612,23983968,256532623,50190063,61674097,258894297,90458321,76599885,63520423,51742679,41473989,32596984,24935020,254952576,13085990,8917379,5819365,3630162,3630161,5819421,8917553,6011556,6011555,8777837,8917512,9639152,14022291,14105947,19676649,26411809,34287118,43386170,39144858,39144857,30546943,23128677,23128676,255657788,11799565,11799566,16868404,23128679,30546945,39144859,49074721,60477886,73224435,73224434,86837082,100818388,100826768,86845524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9360553, s2 = 14481327, dlinesl.size( ) = 2 s1 = 9360553, s2 = 14481327, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9360553, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 3440954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3688119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3688119, s2 = 8221248, int(edited[s2]) = 0 s1 = 3688119, s2 = 8221248, d1 = 1, d2 = 1 Dl.O(d1) = 131189507,131189508,259106490,127705309,113836477,113836478,127704728,114408585,114408587,116498544,116498545,125716398,125716399,136169840,122207149,122207150 Dl.O(d2) = 131189507,131189508,259106490,127705309,113836477,113836478,127704728,114408585,114408587,116498544,116498545,125716398,125716399,136169840,122207149,122207150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3688119, s2 = 8221248, dlinesl.size( ) = 2 s1 = 3688119, s2 = 8221248, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3688119, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9710118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7984925, s2 = 11481744, int(edited[s2]) = 0 s1 = 7984925, s2 = 11481744, d1 = 44, d2 = 40 Dl.O(d1) = 39517925,30908933,23473489,17192063,12088948,8129655,8129657,12088954,17192075,254522094,49449996,60851834,73601542,87223792,101224841,113865626,258110648 Dl.O(d2) = 260553528,175100139,184684692,176579423,176579424,263566367,264235221,201303776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7984925, s2 = 11481744, dlinesl.size( ) = 14 s1 = 3442359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9199807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4467864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4467864, s2 = 15400226, int(edited[s2]) = 0 s1 = 4467864, s2 = 15400226, d1 = 31, d2 = 23 Dl.O(d1) = 176250198,165572946,153791365,141118163,127760857,113885474,99866587,85910911 Dl.O(d2) = 31339049,40018155,31706120,31706084,24198589,17829384,12624591,8570664,254418871,3450406,5566514,8570668,12624599,17829403,24198613,31706122,40397971,31706071,24198578,17829381,12624589,268118685,24198584,17829382,17829383,24198587,31706082,31706103,24198600,17829393,12624595,12624596,17829397,24198606,31706111,40397980,31706077,31706076,40397977,50431318,40398021,40398022,50431359,61921131,74714373,88317408,102312915,116405133,102312895,88317388,88317389,259729270,102312898,260746047,102312887,88317383,88317382,102312885,102338586,102338585,90679922,88342250,88342249,90679921,104848278,90679920,76811271,63709899,51903176,268731211,32700513,32700511,32700512,41603332,51903167,41603343,41603342,51903181,51903168,51903169,51903186,41603345,32700517,25017111,18487326,18487327,25017112,32700515,32700514,41603341,51903180,63709906,76811279,63709919,63709918,76811288,76811287,90679930,104848287,112676309,98681955,258682468,71186013,71186015,58463999,47085857,47085858,58464001,71186048,84754712,71186033,58463987,58463988,71186036,84754714,98681953,98715353,98715354,109506540,95252223,84787688,71218843,58497004,58497003,67730651,81196053,95252215,95252214,84787678,71218836,58496998,47118643,47118644,58497000,60796802,73543822,67730648,55390313,55390312,67730646,81196050,81196063,67730662,67730658,55390320,55390321,67730650,55390315,44543068,35165438,27077758,27077759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4467864, s2 = 15400226, dlinesl.size( ) = 2 s1 = 4467864, s2 = 15400226, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4467864, Dl.E( ) = 32, 3.1e-05 seconds used appending s1 = 3690280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8405005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8405005, s2 = 8645716, int(edited[s2]) = 0 s1 = 8405005, s2 = 8645716, d1 = 16, d2 = 28 Dl.O(d1) = 21756579,15702076,254099752,20079221,15701844,254235508,4527608,2721634,1577099,896651,505857,283654,283653,505852,896646,1577089,2721608,4527532,4527531,7186563,10869471,10869849,10869847,7186790,7186791,5963198,3728949,3728946,5963187,7392012,7392011,11144547,16050288,22175096,28698933,37224773,47122461,58501035,71222880,84791592,75537400,75537401,85980636,85980635,99938704,113961539 Dl.O(d2) = 70994093,258666393,269777435,37036484,37036483,46913933,58279307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 7647104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8840180, s2 = 3175224, int(edited[s2]) = 0 s1 = 8840180, s2 = 3175224, d1 = 12, d2 = 0 Dl.O(d1) = 207026289,201076847,194017527,194017526,185779520,176334999,165666535,153890040,141218224,127859275 Dl.O(d2) = 99958804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8840180, s2 = 3175224, dlinesl.size( ) = 2 s1 = 8840180, s2 = 3175224, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8840180, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8095198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8095198, s2 = 3525725, int(edited[s2]) = 0 s1 = 8095198, s2 = 3525725, d1 = 36, d2 = 54 Dl.O(d1) = 257118528 Dl.O(d2) = 144384209,131152695,117350278,103221863,258939489,62472602,50874445,50874444,62472597,75388429,89133365,103221856,117350274,261348993,117350355,103221953,89133454,75388509,62472658,50874485,50874486,62472662,258939505,103221961,117350368,261349005,261807821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8095198, s2 = 3525725, dlinesl.size( ) = 8 s1 = 446418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 446418, s2 = 10902464, int(edited[s2]) = 0 s1 = 446418, s2 = 10902464, d1 = 72, d2 = 87 Dl.O(d1) = 11313327,11313331,16270251,22437541,255507888,256452084 Dl.O(d2) = 188434746,179402020,179402021,188434749,188434761,263305488,213295698,264603424,223110284,220480080,264024028,273910268,223110283,220480082,264849240,220238992,217087246,265273829,274133352 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3692900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9363360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8207155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8207155, s2 = 11524878, int(edited[s2]) = 0 s1 = 8207155, s2 = 11524878, d1 = 5, d2 = 22 Dl.O(d1) = 48309191,38398496 Dl.O(d2) = 265509133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8207155, s2 = 11524878, dlinesl.size( ) = 20 s1 = 3447977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7041402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7041402, s2 = 2560011, int(edited[s2]) = 0 s1 = 7041402, s2 = 2560011, d1 = 1, d2 = 4 Dl.O(d1) = 261740550,114048326 Dl.O(d2) = 11010762,15883950,21979055,23607873,18725433,16230030,16230031,22388978,17587746,16355365,16355364,22528123,17182266,12196302,12196304,17294237,12173096,8205345,8205344,11383740,16357876,17254753,17182178,16341962,16341964,17317815,17317780,12192984,8223272,8223274,12192989,15546666,10752378,10752379,15546668,16348267,22521450,22654879,21279075,15316678,10578841,10578840,12163678,11376015,7557694,6525418,6525417,9928987,14434195,20126021,22505838,22505839,17285189,12164572,8195996,5266064,3220921,3220922,5266070,6524684,9927746,13330367,9108245,5959762,3727045,2231502,2231484,1294115,1294116,2231496,3727109,2445835,1414172,1414170,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051337,7559496,7559492,11378513,16351534,17337219,12211301,8242048,5313756,5313754,8242042,12211287,16235357,16235358,18725459,16200478,11261650,7476125,7476124,5280602,5280601,8209832,8226009,8226010,12195672,17320520,16335877,11366019,11366018,16335874,15817773,10961847,10961848,12217088,17343530,23607642,22503478,16329286,16329285,12135213,12135212,17255067,12195608,8225950,8225948,12195603,11365813,7837314,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545210,5280951,5280946,8210073,12178439,13851409,13851407,19364851,22488619,16315810,16315809,17264094,17264093,23575524,17328116,12203176,12203175,17325732,22481418,23304520,17043816,11956721,8214879,5285405,5227760,5227759,7544931,7544932,11355936,16321903,22487525,16314858,16314859,21511251,15501759,10720415,10720414,15501751,16353771,22498663,16324512,16324513,22498664,29861544,38425554,29872847,29872846,29847832,29847833,28518863,21298000,21297999,16309403,11347496,7540368,7355885,7355884,255073991,254577554,2875886,254180030,535810,535813,949962,1669390,2875916,4770803,7542514,11351460,16315724,11353689,11351219,11351220,14935595,10271783,6750199,6750200,7538714,4768946,4768945,7538710,11344331,16304421,16319111,11353595,11353594,16004887,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019768,28516537,21295421,21295422,23008313,23008312,30413178,29839606,29839607,37919111,29351101,22019544,15918229,254832324,11347060,267971626,22476927,16306388,16306387,22476925,29349989,22018255,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775117,7550726,7316184,4618414,4618412,7316181,11041714,15919413,22020641,23017489,254917752,22491036,16317832,16317831,268251178,31091471,28226479,21030226,15105154,15105153,21030225,28226477,27018628,20127678,16347570,254370504,8237892,8237891,11370864,11370865,14434245,14432421,11370570,7553999,4776921,4776924,7554003,11010749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 6847821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6742465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6742465, s2 = 5569154, int(edited[s2]) = 0 s1 = 6742465, s2 = 5569154, d1 = 63, d2 = 62 Dl.O(d1) = 257997156 Dl.O(d2) = 228458890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6742465, s2 = 5569154, dlinesl.size( ) = 2 s1 = 6742465, s2 = 5569154, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6742465, Dl.E( ) = 116, 3.91e-05 seconds used appending s1 = 2882227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10244079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8444241, s2 = 7891907, int(edited[s2]) = 0 s1 = 8444241, s2 = 7891907, d1 = 53, d2 = 54 Dl.O(d1) = 112543081,123790725,259172834 Dl.O(d2) = 13532390,9262419,254447826,6066557,3795678,2273569,1318441,752175,427265,427264,752172,1318433,2273558,3795660,6066525,9262378,13516954,12069082,10925128,7226860,7226858,7226854,7226855,10925117,15772683,15772711,15772713,18973115,21257901,21256971,21256970,17151239,12054720,12054721,11617684,11617682,12052945,12052946,17149481,13500793,9236882,9236881,11914991,7970252,5071323,3074622,1793647,1023192,1023191,1793605,1316505,1316507,1316071,751039,751041,1316121,2269019,254446903,255671055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8444241, s2 = 7891907, dlinesl.size( ) = 14 s1 = 8354379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301415, s2 = 7883350, int(edited[s2]) = 0 s1 = 14301415, s2 = 7883350, d1 = 34, d2 = 26 Dl.O(d1) = 113599963,127474554,140832977,128443595,114559478,100528705,86567557,86567556,100528703,114559473,100528714,86567564,72969411,72969412,86567566,100528717,100528707,100528706,86567569,86567561,86567560,100528709,114400216,100528718,86567567,72969414,72969413,86567555,86567550,72969397,60232298,60089351,60089350,72826720,60089360,48693187,38771244,30187811,22798222,16581358,16581355,22798216,30187804,38771237,259437372,12533978,17717525,24074039,31579649,27012389,25073142,268404343,22359325,16808897,16207053,16207054,18879608,25481982,255916288,26589597,26589598,33230559,255957428,46981140,37097511,28590915,25146958,20120374,14429248,14429249,13458076,9203282,6025395,6025390,9203270,13458060,255129494,24245685,26144777,19447416,19447417,24363287,30882514,23451127,23451126,30882513,25287436,20793974,14901628,14901632,18881260,13457968,13457965,13458168,9203344,9203342,11268131,9203319,9203321,13458132,18885354,25489071,25486179,25486178,31162355,256414112,59739827,59739826,72474999,259395063 Dl.O(d2) = 269007078,18534552,13169459,8977081,5860560,3658609,2188795,2188794,3658604,5860549,8977065,13169435,14331862,9845317,6466243,4224855,4224854,2526245,2526246,4224884,6742292,10260277,14921074,20818047,27982121,36441173,46294136,57638397,57698544,256320330,20862013,20862011,255727178,46349345,54621763,54621764,43879449,43879450,54621765,66879532,255314172,66879530,66879526,256199626,34608623,254963408,14190195,14190196,19810543,26620271,34608629,43879430,54621767,54621791,43879465,34608657,26620285,19810552,14190200,14190199,19810550,254312962,254312964,54620654,54621744,54621743,55677700,44768810,44768809,55677698,254115898,254115900,254212752,267869526,54621746,54621745,55677703,54621741,43879410,43879411,44768803,44768802,35343174,27219394,254083556,35343180,35343179,269204307,81566253,68076456,55677701,55677702,254212748,254151834,33843517,254212744,44768806,35343168,27219392,20290785,20290786,254083554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301415, s2 = 7883350, dlinesl.size( ) = 26 s1 = 3449474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3449474, s2 = 10607985, int(edited[s2]) = 0 s1 = 3449474, s2 = 10607985, d1 = 0, d2 = 31 Dl.O(d1) = 114066991 Dl.O(d2) = 222922943,220256375,217109096,213323832,208700210,208700211,203072162,196352874,188495272,179473024,169216082,157783598,145382431,132152838,118337316,104179736,90049782,76240609,63225043,63225042,58150215,51511833,41295143,41295142,51511831,44397711,35022348,35022347,44397709,55245738,67587430,81054985,95112375,109366456,95112365,95112364,99121979,113112339,126971073,126175043,112314272,98331141,84421692,70864326,70864327,84421694,98331145,112314275,126175047,260676528,140326138,140326137,153024841,164863139,175619458,175619455,175619456,170699768,159351566,159351567,158811283,146442328,133209948,119371002,105168169,90977784,77089030,77089031,90977786,105168173,103495134,103495133,105168147,90977768,77089023,63970375,52146179,41828127,41828128,52146182,63970381,77089033,75640239,75640237,89401113,103495198,115872395,115872396,114349012,259259924,74246675,61468090,49990669,39974606,255793494,23813871,17479620,17479621,23813872,31300071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3449474, s2 = 10607985, dlinesl.size( ) = 2 s1 = 3449474, s2 = 10607985, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3449474, Dl.E( ) = 32, 8.11e-06 seconds used appending s1 = 13756891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8090361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8090361, s2 = 8323711, int(edited[s2]) = 0 s1 = 8090361, s2 = 8323711, d1 = 41, d2 = 35 Dl.O(d1) = 107864247,122277559,260846994,68080983,261569265,262625240,72236565,59501238,258128265,57859498,46503259,37762448,31165143,31165142,39846998,40398298,37658433,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,24034131,31536759,28367183,21150686,15196555,15196556,21150765,21150755,18528992,18528993,22330835,16184510,11250063,11250066,10482978,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499832,17516448,17516280,17516277,21810018,21810015,23859685,23859683,25960795,21154327,21154326,17516346,17516345,21149814,25256005,18685157,13292206,13292202,18685145,25255984,21149867,21149868,28366171,28366871,28366872,28366828,28366827,36864880,40223071,46745329,36865441,36865442,46745814,268912679,256839793,21151977,21151978,28368735,36866366,269306377,46746669,46746549,36866364,36866365,256578244,28112281,20935523,20935524,16947572,254816223,5039285,5039284,7927134,255138413,23219360,16946640,16945683,16945682,268424033,30644416,30645079,257217515,256694384,9314203,268148741,25675884,268499053,257214457,33391490,25712475,255277209,9330230,9330109,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800705,3800703,254655511,9347811,9347812,13651158,19119852,25758500,31755069,24251490,22341276,16192775,16192774,255272225,13566805,19008997,25623599,33389258,33390619,25625360,19010623,19010622,25625358,25625667,19010953,19010954,25625669,27962447,20800416,20800415,21599524,19009637,13567296,13567106,13567107,13158030,8968657,8968658,12652929,8590727,8590729,12652934,17867441,24243513,31755225,25465890,18865752,13442564,9191810,9191809,255262375,268961508,26390176,26390178,254786210,23577723,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204244,21520345,24214086,17843770,13011999,13011997,17844882,24215262,29969135,22604139,22604140,16908729,15479358,10704244,7071872,7071871,10704237,254241230,6375392,4000230,4000232,6375398,9690710,14089183,19656093,17437669,14086693,14086692,9690076,9690077,12146904,8577910,8577908,10726107,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861 Dl.O(d2) = 91164802,105386881,105386943,105386944,271979727,105415310,260257229,133526023,127547847,113677186,272207157,162914269,150894688,150894689,261579492,260433264,256775840,255347442,67241269,55144284,44300198,44168026,34828943,26784699,19953447,19953451,19954987,14289164,9832497,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421265,4041590,6444475,9805517,14268593,19921227,26769121,34806937,44143089,54254989,54254993,66428226,54465182,54465185,46228917,36392207,36392209,36392218,27943975,256266411,46228930,54340045,257212254,42423246,33431421,33431422,42423250,52826708,257212256,54896011,269228088,54314670,43659839,34459639,26519826,26519827,34459643,34329529,26449646,26449643,34329556,43435644,53971979,54968522,49486708,39546797,30931302,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,26743935,19905228,14258704,14258705,19905212,26743876,19906257,19906166,14259346,14259349,19906173,26745304,34771812,44096398,39613603,39613605,49591840,61038041,73811057,257348596,58942146,58942148,71663673,255768804,67402832,55071265,44238979,34882587,26824394,19958474,14290732,14290734,19955566,14289438,14289441,9830798,6457982,4047982,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423365,2423360,4047953,2423971,2423966,4050102,6463865,9841816,14326978,20005046,26884926,34963079,44339910,55189856,67533608,67053467,67053463,73796324,61025221,61025217,54835084,44047527,34739652,26725136,19893487,19893483,26725115,256731525,54834947,51480476,257737417,61173295,49699924,49699923,49698858,49698859,61171766,73948096,87548979,73949889,73949890,87550388,259203112,66319953,54169510,54169511,66319938,63635548,63635549,259620783,60907421,49495332,257881277,34556485,34423896,34423895,43603731,256207193,19889257,19889256,26716174,19889200,19889201,26716209,30926183,30926184,39537843,49472480,258228509,70255199,83775729,90879125,90879127,270244868,79654617,80884963,67416555,66053589,53971494,43435378,43435383,34749984,34749981,44002797,44001251,34750013,34750018,44066197,54866466,260387569,137014018,150091974,162260630,173331055,172537027,161353605,161353604,172537026,261056724,149064921,135842330,258630406 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7025775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7025775, s2 = 7192760, int(edited[s2]) = 0 s1 = 7025775, s2 = 7192760, d1 = 31, d2 = 37 Dl.O(d1) = 261540092,85850828,74044264,74040734,61261053,49782285,49782286,59139119,257436668,29252903,21931995,21931999,29252907,36640083,31087132,255997667,255160011,8201372,8201373,12169313,17290251,23602915,31087142,38229028,256941057,29662541,38229022,48139214,48139266,268635837,22309940,22309939,29662584,256941065,39046930,39046931,48968109,49367617,49367616,258130539,59526301,72259828,85712356,73516359,60767332,60767333,59526231,48139187,38228999,257510419,48008073,41650139,38096388,29532303,22189499,16061955,16061954,22189496,29532297,256930239,49367613,52552997,47898312,37981166,29418286,22087776,22087775,29418284,37981161,47898307,48295669,59682005,257030739,30834780,30834779,39438795,39734448,31056265,23572623,17261268,17261269,23572626,31056273,29910840,255477837,11397538,11397540,16376745,259396043 Dl.O(d2) = 263834770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7025775, s2 = 7192760, dlinesl.size( ) = 48 s1 = 3696281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6698948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6698948, s2 = 8511741, int(edited[s2]) = 0 s1 = 6698948, s2 = 8511741, d1 = 86, d2 = 137 Dl.O(d1) = 257488194 Dl.O(d2) = 131041191,262160857,262373899 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3451015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3697774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9156588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4623817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6864350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6864350, s2 = 13332252, int(edited[s2]) = 0 s1 = 6864350, s2 = 13332252, d1 = 87, d2 = 146 Dl.O(d1) = 259402965 Dl.O(d2) = 256233472,16876903,12329442,12329441,11806925,7886562,5008702,3028520,3028521,5008706,7886568,7886240,7886241,11807005,16876974,23137282,23137472,16877142,11807120,7886320,7886302,254812275,16877101,23137441,27165257,255339397,254695475,6571314,7961945,5064860,5064861,7961949,7885879,7885880,5008549,5008550,7886288,11807078,16877086,23137420,16877514,16877513,23137762,16989698,16877127,11807111,11806442,11806441,7885961,5008375,5008374,7885957,11806544,16876357,16877500,16877501,23136821,16876565,11806684,7886038,5008423,3028394,1762128,1762129,3028397,5008428,7886046,11806698,16876586,23136854,23137211,23137210,23137189,23137190,255694688,23136588,16876333,11806522,11806523,11807267,16876454,254812235,5008393,3028379,1762122,1762121,3028377,5008386,7885980,11806588,11806434,11806437,11806573,11806574,11806722,7886057,7886058,7885882,5008337,3028353,3028354,5008342,7885888,11806430,16876196,11806746,11806744,16876651,16877067,16877066,23137395,23137494,30554063,23136468,23136466,30554126,23136429,23136430,23137606,23136835,23136836,30554039,30554041,23136424,16876219,16876218,19268109,25930192,33737233,33644928,25841572,19187837,13703595,13703599,16876104,23136296,25841983,25841981,32780172,30554271,23136573,268099157,7885937,11806512,16876320,23136570,28629606,25930352,25930351,33737316,255287942,14543973,14543975,19188156,13703830,9386020,9386021,254208800,10625872,10625873,9385981,6149132,3847768,3847767,6149129,254306196,25841929,25841998,19188169,13703838,9386029,9386028,6149183 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3453212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10190111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10190111, s2 = 11245716, int(edited[s2]) = 0 s1 = 10190111, s2 = 11245716, d1 = 56, d2 = 77 Dl.O(d1) = 256632831,25323891,18745000,255655291,29967694,38533589,29995500,22626964,22626963,256965927,59871232,259404883 Dl.O(d2) = 268412538,255109816,17519051,17519052,23291974,30708339,39306106,49232788,49738986,61217238,49738898,39720501,31042902,23560162,23560163,31042904,23863091,17519049,17519050,23863092,19537439,19537438,22321009,29672279,31748968,31043302,268397194,17250332,23560482,31043297,24295380,17913042,12690959,12690960,12690981,12690982,17913081,24295451,31810638,26255887,26255888,29672329,29672330,32742327,32742326,25052146,25052088,25052087,30918928,23560159,255157179,12131196,255545063,31042894,31042897,28826503,21555668,15535237,10744054,10744052,15535230,19537458,26255903,28787143,26255897,19537453,13989346,13989345,19537451,16175821,11243012,7462822,7462821,11243008,16175812,16175892,16175893,22321137,29672446,38237689,34983780,26903597,26903598,22321148,16175899,16175900,22321150,29672472,38237718,43208336,43208334,39450916,30846652,30846653,36439415,27980304,27980303,31693345,31043415,31043416,39720947,39720707,31043108,23560312,17250231,12131255,12131259,17102721,23371584,30798199,23559935,17250001,17250003,12613759,12613760,17815973,12613753,8562064,8562062,12613749,17815963,24184428,29006984,21720971,21720973,29006992,37552599,31693323,31693322,25335497,18756044,18756043,23560376,23560377,24184531,17816038,17816039,24184538,23559677,23559678,24184629,31042540,31042538,39720150,32104001,32104000,31693114,31693115,31043253,23560439,23560438,23560451,17250315,17250316,256498543,24184712,17816152,12613840,8562105,8562106,12613842,17816155,24184718,30798219,39401470,40035801,50055553,57661236,57661235,58064823,59565266,59565338,48179209,256760716,27183695,20260971,14536924,14536925,20260973,268554767,31356485,40036318,33244838,25494482,18889817,18889816,25494479,27183516,20260840,20260838,27183512,23862963,23862964,31356686,35302631,27183544,27183545,34655637,35046267,31355603,23861912,23861911,23862090,256234119,20260875,14536857,14536858,20260877,17518111,12353332,8346196,5386952,5386953,8346198,12353342,17518125,23861920,257069583,61534506,74311757,87915522,101889721,115935927,129835458,138856620,125523520,111716127,258539740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10190111, s2 = 11245716, dlinesl.size( ) = 50 s1 = 11659242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 105493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6977738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13571339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9661443, s2 = 14165231, int(edited[s2]) = 0 s1 = 9661443, s2 = 14165231, d1 = 1, d2 = 1 Dl.O(d1) = 21145315,28360687,36858769,46740410,53187711,42738400,42738401,53187713,65172683,65172659,53187690,53187689,257728563,41134229,51317743,62996757,75979425,72677595,59938113,48545561,38630693,38630692,48545559,59938110,72677592,86277301,100242054,113533214,113533215,114273618,114273617,128157920,141516405,150307092,137266212,123535221,123535220,137266211,123535223,123535222,137266213,141516462,128158011,128158012,123535215,109343523,95089393,81031208,67562033,55218426,44367314,44367313,258523263,259780377,81031207,81031206,95089390,109343518,123535213,112899399,112899400,126752193,114273630,100242068,86277316,86277315,86277325,72677607,59938121,59938119,72677603,257565608,50558072,50558029,40521615,31824641,24307651,24307652,31824642,40521618,31824644,24307653,24307654,267818144,20192568,14488252,9968617,6551576,4104333,2455009,1419136,807291,807288,1419129,2455001,4104325,6469663,4053997,2426420,2426421,4053998,4055068,6469739,6469420,6468190,4052843,2425626,1403123,798518,452616,452615,798510,798797,798796,452782,255229,141334,77431,77430,141329,255221,452769,798781,1403578,812205,812206,1427905,2470401,4129815,6467585,4053541,4053543,3725408,2230510,2230509,3725405,2426498,2426499,4052383,6467536,6470732,4054999,4052401,2425349,2425347,4052393,2426046,2426047,2450127,2425975,2242450,2242449,2427114,1404070,254096242,4054913,6470653,9721081,10030474,9848083,9774347,6426748,6426745,9774342,13185157,13185156,9774340,8992662,5871129,3665935,2194162,1274420,1274419,2194155,3665920,5871111,6469744,6469743,8986494,5866910,5866908,8986492,9849993,14193368,14193369,10627180 Dl.O(d2) = 21145315,28360687,36858769,46740410,53187711,42738400,42738401,53187713,65172683,65172659,53187690,53187689,257728563,41134229,51317743,62996757,75979425,72677595,59938113,48545561,38630693,38630692,48545559,59938110,72677592,86277301,100242054,113533214,113533215,114273618,114273617,128157920,141516405,150307092,137266212,123535221,123535220,137266211,123535223,123535222,137266213,141516462,128158011,128158012,123535215,109343523,95089393,81031208,67562033,55218426,44367314,44367313,258523263,259780377,81031207,81031206,95089390,109343518,123535213,112899399,112899400,126752193,114273630,100242068,86277316,86277315,86277325,72677607,59938121,59938119,72677603,257565608,50558072,50558029,40521615,31824641,24307651,24307652,31824642,40521618,31824644,24307653,24307654,267818144,20192568,14488252,9968617,6551576,4104333,2455009,1419136,807291,807288,1419129,2455001,4104325,6469663,4053997,2426420,2426421,4053998,4055068,6469739,6469420,6468190,4052843,2425626,1403123,798518,452616,452615,798510,798797,798796,452782,255229,141334,77431,77430,141329,255221,452769,798781,1403578,812205,812206,1427905,2470401,4129815,6467585,4053541,4053543,3725408,2230510,2230509,3725405,2426498,2426499,4052383,6467536,6470732,4054999,4052401,2425349,2425347,4052393,2426046,2426047,2450127,2425975,2242450,2242449,2427114,1404070,254096242,4054913,6470653,9721081,10030474,9848083,9774347,6426748,6426745,9774342,13185157,13185156,9774340,8992662,5871129,3665935,2194162,1274420,1274419,2194155,3665920,5871111,6469744,6469743,8986494,5866910,5866908,8986492,9849993,14193368,14193369,10627180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9661443, s2 = 14165231, dlinesl.size( ) = 2 s1 = 9661443, s2 = 14165231, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9661443, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6987025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8583621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8583621, s2 = 7878876, int(edited[s2]) = 0 s1 = 8583621, s2 = 7878876, d1 = 67, d2 = 73 Dl.O(d1) = 166515869,154810020,142176290 Dl.O(d2) = 35321195,254916212,20271236,27197680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8583621, s2 = 7878876, dlinesl.size( ) = 26 s1 = 3702361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3702361, s2 = 9176367, int(edited[s2]) = 0 s1 = 3702361, s2 = 9176367, d1 = 65, d2 = 307 Dl.O(d1) = 128180563 Dl.O(d2) = 100267979,86306254,72709328,59972200 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165148, s2 = 15054751, int(edited[s2]) = 0 s1 = 14165148, s2 = 15054751, d1 = 8, d2 = 5 Dl.O(d1) = 267806603,2133970,3581139,2133969,2133968,3581137,5751302,8826778,7444920,4703947,2833762,2833657,1643906,1643910,2833668,4703747,4703805,254772351,11218423,16147729,16151290,16151291,16151442,15694297,15694296,21745825,255313831,14186877,19805971,15446598,10679567,7054538,4440908,4440910,7054547,10679588,12306586,17456986,16152358,12306479,8312297,8312296,12306474,16151820,11221363,11221364,16148284,11218836,7443930,7443929,11218834,16148280,16152400,11559660,11559659,11221941,7445900,7445897,11221271,10864845,7183474,4525554,2720388,2720387,4525549,7183465,10864829,15694542,21746172,29038411,29038343,254512284,15694461,10864786,10864785,15694458,21746044,21746181,29038421,22292927,16148313,16148312,15759184,15759182,21827020,29134130,37695060,31272117,30622284,30622283,38211574,47490522,38211561,38211563,47490699,38215369,29648855,22296882,16151669,11221255,11221256,16151673,16150015,13780728,13780729,16145662,11216824,11216823,16145660,16148519,22293163,23381113,17110835,17110833,13142526,13142527,18498563,22289529,16145540,16145538,16931179,11849858,7920016,7920015,11849855,16931171,23200456,28225240,21029282,21029280,28225233,36718554,29641245,23475437,17193482,12089924,8130317,5208918,5208919,8130321,12089937,17193494,23475459,30911525,30911690,23475592,17193570,12089982,8130346,5208934,5208933,267991857,8980311,8980313,13173890,18540536,25084757,32782205,41698571,52010213,58317915,256856887,28568628,21341065,15366659,10617372,10617371,15366656,21341063,28568623,37071189,39521034,30911466,268247179,8130314,8130315,12089919,12089962,17193535,23475535,30911624,39521090,39521089,49453503,42112737,33158231,33158232,39521262,30911677,23475581,23475580,30911674,257037607,60855409,60855415,60855413,73605111,87227141,101227864,98522980,84597932,84597931,98522977,87226882,87226883,87226887,73604845,73604834,60855131,49453684,49453683,49453677,39521257,30911672,30911673,39521260,49453682,60855407,73605104,67796479,55454423,44605755,35224907,27131107,27131108,35224909,29289317,29289316,37858138,47781938,59181144,71919383,85504720,99446324,105655455,114290004,114289996,100259771,259171812,86296924,100259746,98522974,84597924,84597923,271301029,101227622,101227621,258849517,60855399,49453672,49453671,59961143,48568862,48568863,48568867,55454426,49453679,49453680,44605753,44605754,55454420,59181154,47781943,47781942,59181150,71919392,85504730,99446320,100259818,258542920,72699182,72699181,86296960,100259773,86296952,72699174,72699176,86296955,100259776,114289999,128173195,141531213,128173185,114289982,100259740,86296918,72699153,59961147,48568864,268552336,30076359,38653046,48568871,59961154,72699158,86296927,100259748,99446327,85504722,71919386,59181146,59181147,71919388,85504725,99446332,100259821,86296999,72699216,59961198,48568904,48568905,59961201,59961171,48568887,48568886,269823785,86296956,100259778,114289991,114289992,128173190,128173182,114289980,100259741,86296919,86296920,100259743,114289984,128173188,141531215,154194592,272464948,260411432,100259799,86296975,72699195,72699196,59961225,59961206,256757160,30076384,30076383,38653083,48568918,59961223,72699241,86297027,100259841,114290050,114290040,114290039,128173227,141531251,154194609,141531247,128173215,114290027,100259805,86297006,72699225,72699223,86297004,86296989,257922498,256757156,30076370,22695607,22695609,30076373,38653071,48568902,59961195,72699213,86296994,100259816,95196741,81139896,67674046,67674048,257494190,86297023,72699239,59961219,48568915,48568914,59961217,72699236,81139893,67674045,55334696,55334695,67674043,81139888,95196732,109451285,123643737,114290031,100259810,86296987,72699206,72699204,59961188,48568896,48568895,38653066,38653067,48568900,59961193,72699208,85504701,72699210,72699209,259410783,259971342,123643730,109451277,258727992,270314140,95196721,86297017,72699233,59961214,256913962,55334691,44488818,35111773,27025413,27025414,35111777,44488821,55334700,67674039,67674040,81139884,95196727,109451286,115305955,101227747,87227013,73604988,60855273,60855274,60855269,60855270,73604985,87227010,87226965,87226964,85504707,71919368,71919367,85504704,85551573,71963994,71963995,85551577,99498439,113509908,259353124,101227750,87227019,73604992,60855275,60855276,73604996,81139859,67674021,55334680,44488810,35111768,27025410,27025411,35111770,255876198,44488819,55334693,67674042,81139886,95196729,109451290,101227716,87226970,87226971,73604984,60855268,60855267,73604980,87226968,73604929,73604930,73604933,71919372,71919373,85504710,85551580,71963997,59225843,47827878,47827879,59225845,71963999,60855288,49453581,49453582,49453580,39521158,39521157,49453577,60855283,73604998,81139858,67674017,67674015,55334677,48439123,48439122,55334683,55334682,67674023,81139863,95196703,257864088,94329546,80272830,80272831,73604948,73604939,60855233,49453549,39521136,30911569,23475493,23475491,30911565,39521134,49453545,59950816,59950815,72689264,85551584,71964002,59225848,47827881,37906143,37906144,268429811,23475505,30911585,39521163,48439124,48439125,59825140,60855184,268040636,43838240,34566488,26580139,26580140,29648883,29648884,33748931,33748932,254780304,38211635,48121890,59505998,48118292,44727851,40201933,31515460,24014603,17666843,12492934,8461487,5467178,5467175,8461478,12492914,17666805,13013866,13013865,18332812,24825056,32463772,36461744,30622240,25941254,25941251,32717577,25031196,18498610,13142559,8957375,5846663,5846665,8957379,13142568,18498626,18419421,18419420,20195284,27094386,20264370,14539291,14539292,17950886,12720497,8643348,5621464,5621461,8643338,12720487,17950874,22447828,22447829,268551223,55410284,57875118,70575917,84112110,262163691 Dl.O(d2) = 100282605,86320481,258941598,59985492,257120458,16512761,16512762,16722326,22958229,30359669,28321885,21111717,15165624,10458873,10458874,15165530,10458796,10458795,15165529,255380727,28324772,36819955,46702434,42043287,42043288,52387373,64243192,77394129,84350494,84862106,71287603,58555550,257231690,73374065,60628445,49227259,49227260,257020771,30702842,23287109,17028004,17028003,23287107,30702839,39300287,49227232,60628413,73374048,74314771,258882146,101892341,87918198,74314768,74314769,87890556,74287889,74287890,77802760,64620347,64620346,77802759,77802751,64620338,52720172,52720173,64620340,67540641,67540640,77802752,257650710,105937528,91730301,91730300,105937530,115758765,129656714,120149479,105937526,91730298,91730299,91120008,259635833,77202934,64061825,64061826,64061791,64061789,64061790,77202897,81215269,67748739,67748740,257901498,86720888,73115264,269363507,48978747,48978714,48978715,48978739,60375357,73115252,60375379,48978756,39056476,30466294,23057610,16810591,16810588,11755275,11755274,16810585,23057601,30466283,39056456,48978725,60375337,258813737,86720852,86720867,73115234,60375340,60375339,73115231,86720864,99804502,85852508,74210415,74210416,87814313,101786902,115833191,106570494,106570493,115255046,113817832,99804498,92272937,78245880,64972471,256154848,42557643,42557642,43052259,255127958,20201733,14495617,14495616,20201731,27101512,35190416,44568565,55415872,67756018,256850418,42060018,42060020,52403966,42903298,33858228,33858227,257244605,58645631,71381556,84956805,98882094,86078740,72481205,59746554,48363418,38461716,29904559,29904557,38461712,48363412,59746548,48363510,38461815,38461816,257537205,72481158,59746647,59746486,59746485,48363523,48363524,59746561,48363423,38461904,38461903,48363588,269780881,58436787,59746487,48363444,38461733,38461732,48363442,47061360,37169642,28652352,21409572,15421131,15421130,256323583,33778850,25968756,268506529,42811419,38090753,29527198,22184905,22184904,29527196,38090750,48002270,59390732,71287063,58554972,47166042,37260178,32836235,25131022,18578096,254138012,5876043,5876042,5876065,5876064,9000439,12542968,9452854,9452851,13786952,17812583,24180955,21493545,21493544,17812636,17812635,24180990,24058151,22183761,16056932,254414592,29526074,24058154,17703241,12521740,8483486,8483484,12521735,17703234,24058147,17726167,17726168,24082418,24082417,26445109,31564743,40252277,50273626,48530287,38614640,255556344,16470415,11475766,7632824,7632823,11475764,16470409,22665339,26441991,26441992,22316641,16171512,11239071,11239072,16171515,21062578,21062579,28265285,25427226,25427227,33169601,29091636,21793506,15734692,15734691,21793504,21793523,15734702,12240175,12238801,12238803,10900930,10900931,15739907,21799765,29097180,21799942,15740233,15740231,21800160,28265883,254184122,31643325,31643324,40332052,50358984,61842937,268252712,84287400,98183317,112145721,125982337,139333776,152040522,163904603,174715806,169160698,261279368,145309307,157719152,158784424,146416088,257736354,105153036,90966361,77080473,77080474,90966363,104437386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165148, s2 = 15054751, dlinesl.size( ) = 2 s1 = 14165148, s2 = 15054751, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165148, Dl.E( ) = 10, 2.69e-05 seconds used appending s1 = 10353230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353230, s2 = 7703218, int(edited[s2]) = 0 s1 = 10353230, s2 = 7703218, d1 = 30, d2 = 24 Dl.O(d1) = 274011090,60031241,48638297,38720456,258790413,100325204,114352329 Dl.O(d2) = 273135841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8248421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9461654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9461654, s2 = 4534898, int(edited[s2]) = 0 s1 = 9461654, s2 = 4534898, d1 = 70, d2 = 69 Dl.O(d1) = 19231200,25890662,33696652,42726419,53175894,65160577,78443426,92480689,106788059,121043431,134842922,141604866,259880902,100352858,86395750,72799614,72799615,86395752,100352860,114376994,128253991 Dl.O(d2) = 180642200,170506553,159164795,146789625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9461654, s2 = 4534898, dlinesl.size( ) = 2 s1 = 9461654, s2 = 4534898, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9461654, Dl.E( ) = 72, 1.69e-05 seconds used appending s1 = 9670939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3705321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3705321, s2 = 11449186, int(edited[s2]) = 0 s1 = 3705321, s2 = 11449186, d1 = 85, d2 = 44 Dl.O(d1) = 128258103,114381644 Dl.O(d2) = 200340267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3705321, s2 = 11449186, dlinesl.size( ) = 2 s1 = 3705321, s2 = 11449186, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3705321, Dl.E( ) = 86, 2.41e-05 seconds used appending s1 = 2895700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9176060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9444406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9444406, s2 = 8570742, int(edited[s2]) = 0 s1 = 9444406, s2 = 8570742, d1 = 83, d2 = 87 Dl.O(d1) = 84414621,70857141,58142839,46775015,46775014,58142837,70857137,84414618,84414620,259312328,258060944,30890821,30890820,39498143,49429401,258224399,72815359,259418293,260635175,261110815,260563369,85411477 Dl.O(d2) = 153330672,272202450,158654094,261697575,113445926,259352817,258103893,258103895,85501582,98350436,112333595,126194183,261250190,129035714,142410190,262213888,261697575,261250188,85501587,71916111,59177819,47778794,37855398,37855396 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3461589, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10333094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10234934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8248936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8248936, s2 = 3706775, int(edited[s2]) = 0 s1 = 8248936, s2 = 3706775, d1 = 2, d2 = 1 Dl.O(d1) = 254795982,38783520,48705702,60101237,72837766 Dl.O(d2) = 128286769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8248936, s2 = 3706775, dlinesl.size( ) = 2 s1 = 8248936, s2 = 3706775, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8248936, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13678141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10165398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8249347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6870269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165010, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7927761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7927761, s2 = 6602870, int(edited[s2]) = 0 s1 = 7927761, s2 = 6602870, d1 = 162, d2 = 83 Dl.O(d1) = 255275585,9319508,9319507,10484835,15201217,13556942,9281428,6079801,3835269,3835270,6130058,9319815,6105059,6105058,9319812,12080406,8123424,8123425,10484278,13602771,13602772,19036263,13588247,9304172,9304171,9304160,9304159,9304184,13588265,13553941,9279078,6078074,3803058,2278019,2278018,3445983,3445982,5561890,4746375,4746376,7508878,6111513,6111512,9330016,9351856,13611195,13611194,19065786,19072787,13616261,13616260,19072785,25698503,24192002,17822822,12619174,8565909,8565910,255198809,9171602,6002919,6002917,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,15708051,13639461,13639462,15201262,13641605,9341469,9341467,13641597,19106359,24191495,31699676,33424744,34966236,40791117,47662194,37740315,37740314,256663123,33471539,37607949,33385820,255676287,13564517,13564516,19005976,21157574,15201881,15201880,21157569,22436296,21157618,21157617,25765235,25765234,27213728,25735508,19102785,19102786,15804296,15804295,21879714,19139016,19139017,25780378,33570569,36870474,31672461,24162767,17795143,17795144,24162773,25698592,19072882,19005992,19005990,25620242,24291038,24291037,25621198,31748713,31699808,24191640,19127964,16268795,16268794,22436310,29802330,38374109,32839812,25789614,25789615,31758275,33385984,29293155,21966089,15872027,15872026,16109969,11190100,8590539,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,9360891,6131482,6131478,9360899,13669697,15707245,10873473,10873470,15707234,15707256,15707255,12655905,8592491,5583019,3463926,3463922,5583029,8592522,12655959,17871847,17871925,17871923,24249013,19004516,13563244,13563247,19004524,261220389 Dl.O(d2) = 256439043 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7822664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3466255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2583371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2583371, s2 = 10614814, int(edited[s2]) = 0 s1 = 2583371, s2 = 10614814, d1 = 64, d2 = 32 Dl.O(d1) = 72938537,259428979 Dl.O(d2) = 228424454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2583371, s2 = 10614814, dlinesl.size( ) = 44 s1 = 7902805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7902805, s2 = 13554539, int(edited[s2]) = 0 s1 = 7902805, s2 = 13554539, d1 = 183, d2 = 165 Dl.O(d1) = 13921140,9554981,7386600,4666573,4666576,7386718,11136498,7929562,5040750,5040749,7929558,11864840,16952407,16002997,16002995,16003157,16038510,16038509,11136492,7386714,7386715,11136493,7386838,4666650,4666648,7386831,11136654,11135666,11135660,7386188,4666251,4666252,4655102,4655104,7368787,7368764,4655092,4655091,7368761,11110387,16003121,16003120,15976787,15976788,22082577,16003517,11110369,7368749,4655086,4655087,7368752,11110375,11135811,11135812,16037786,22115612,23225696,22158852,16037718,11135769,7386275,7386278,11135777,16037727,22158865,22159896,22828385,30220603,38804253,47926775,38012314,254546650,29450161,38012311,38806748,37486105,28944064,21665263,21665262,28944062,22080103,15974540,11089304,7354451,7354448,11089295,15974526,22080069,29410549,22116251,16003521,16003520,22116249,29449859,255975896,43051675,53531837,256873370,59900347,256332252,59909705,48516599,39796035,31115411,23628780,17312771,12188220 Dl.O(d2) = 256945041,38278657,48187989,59574126,258757793,260000883 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9712876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9545428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3468030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3468056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3597928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14946125, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6905736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6804205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6804205, s2 = 14158236, int(edited[s2]) = 0 s1 = 6804205, s2 = 14158236, d1 = 20, d2 = 24 Dl.O(d1) = 258696186 Dl.O(d2) = 267825920,16788749,21714056,21714054,28879796,21604133,15576029,15576028,21604130,28879771,21605052,15576722,15576723,21605055,28083140,28083141,36552078,37421739,37421740,37421765,47330001,39388388,37421670,28879744,254227402,267787602,28879741,28879823,21604154,15576043,10774463,7119016,4482309,4482310,7119022,10774478,15576066,11786875,11786874,16853503,23112348,29581869,22234285,16099419,11182397,7419559,7419558,11182393,16099411,22234273,29581855,37422937,47331214,38147878,29581980,22234370,16099491,16099492,22234373,29581984,29582062,22234457,22234458,23383178,17112593,12025619,12025618,17112585,21604158,28879835,37421715,38147662,29581757,22234186,16099352,11182344,7419502,7419501,11182337,16099341,21604164,15576048,15576047,11786886,7870413,4996306,4996305,7870410,11786877,16853508,23112355,30530654,39129126,38094366,29530568,29530567,25856806,19199908,19199909,25856812,30024659,22651834,22651833,30024655,30552785,29582186,22234568,22234569,29582190,30024773,30024772,30024717,30024715,38597067,48511584,59904808,59904807,59904773,48511404,38596881,30024572,22651778,22651779,30024576,255896072,48511628,59904927,48511610,38597097,30024727,30024728,38597099,48060601,38597088,38597087,48511599,59394402,59394397,48005900,48005901,38597206,38597205,255896078,268084340,48511674,59904970,268401694,72125515,72125514,72645590,72645591,72645695,72645696,85783726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6804205, s2 = 14158236, dlinesl.size( ) = 26 s1 = 13549729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6868057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8651912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8651912, s2 = 15996500, int(edited[s2]) = 0 s1 = 8651912, s2 = 15996500, d1 = 15, d2 = 18 Dl.O(d1) = 166366018,166366019,166366024,154649065,142004634,128641021 Dl.O(d2) = 39051000,255957511,23053502,30461430,39051007,48972676,60368415,48972673,47354902,37448224,28908795,21634427,21634426,28908790,28008729,20843905,14944007,10278466,10278468,11753128,11753125,255513017,30461432,38041846,29478789,22141514,22141515,29478791,38041847,256348923,21711966,15669518,255050427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8651912, s2 = 15996500, dlinesl.size( ) = 20 s1 = 9709114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3471702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3471702, s2 = 5629136, int(edited[s2]) = 0 s1 = 3471702, s2 = 5629136, d1 = 9, d2 = 7 Dl.O(d1) = 114744901,261230207,142008364,142008365,154652352,166369219,176961783,186331142,186331145,194499466,264251675,194499464,186331144,176961777,176961778,186331147,194499470,194499478,201496927,201496921,201496919,207386176,207386177,207386185 Dl.O(d2) = 207386184,201496931,194499480,194499479,201496929,201496915,194499469,194499470,186331150,176961780,166369217,154652351,154652350,166369216,273367705,194499472,201496917,264786951,201496910,194499465,186331144,186331145,194499467,201496913,207386177,207386185,201496931,194499480,186331151,176961780,176961779,186331149,263937379,207386182,264786953,207386187,207386188,212242132,216209389,265222341,224659642,226730822,274377890,265095572,194499483,201496935,264533125,201496933,201496932,207386188,212242132,216209388,219497428,222274954,265582147,228537095,230124982,231534498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3471702, s2 = 5629136, dlinesl.size( ) = 2 s1 = 3471702, s2 = 5629136, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3471702, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 6770227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3716014, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 208559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13373773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13373773, s2 = 6085940, int(edited[s2]) = 0 s1 = 13373773, s2 = 6085940, d1 = 84, d2 = 31 Dl.O(d1) = 88426325,102427725,114823721 Dl.O(d2) = 241342651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13373773, s2 = 6085940, dlinesl.size( ) = 24 s1 = 3717105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3473979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13436983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352331, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3719572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3720085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3720085, s2 = 8402121, int(edited[s2]) = 0 s1 = 3720085, s2 = 8402121, d1 = 22, d2 = 70 Dl.O(d1) = 128805860 Dl.O(d2) = 114382853,100359382,100359381,114382851,114382845,100359378,100359377,114382846,100359391,86403036,72807543,60069899,48673599,48673598,60069897,72807540,86403032,100359386,114382860,128259315,128259309,128259308,128259312,128259313,114382856,100359383,86403030,72807539,60069896,60069897,72807541,86403034,100359387,260580201,259362842,99564188,113580759,100359379,100359380,113580761,99564185,99564184,100359384,114382858,127457049,113580767,99564191,85613802,72025392,59288922,47892996,47892997,59288923 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9197506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15938871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8411405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8411405, s2 = 14200081, int(edited[s2]) = 0 s1 = 8411405, s2 = 14200081, d1 = 43, d2 = 55 Dl.O(d1) = 100899988,100899989,114952558,128853053,142210818 Dl.O(d2) = 177054849,186411115,186411112,186411113,186411111,177054847,166473082,166473081,273370155,186478514,179388339,169119648,157677294,157677293,145266222,145266221,155991454,143451315,261851447,155991455,143451316,143451317,130428575,116586954,116586955,258278908,89921361,261383151,128781102,260140234,100834903,114885212,127253683,113395423,99394745,85454058,73241243,60494354,60494353,72250646,76064272,258971655,103975456,263303211,196243634,264602339,217073921,265457055 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3943530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13724083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6963670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164604, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3481260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3482085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6602862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6602862, s2 = 9628521, int(edited[s2]) = 0 s1 = 6602862, s2 = 9628521, d1 = 53, d2 = 143 Dl.O(d1) = 256439008,256439010,257563974 Dl.O(d2) = 266475442,266063692,233260326,233298047,233298046,266179874,265937800,229191944,227483161 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6918419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9484926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3484799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3484799, s2 = 14807667, int(edited[s2]) = 0 s1 = 3484799, s2 = 14807667, d1 = 0, d2 = 5 Dl.O(d1) = 115185715 Dl.O(d2) = 237452711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3484799, s2 = 14807667, dlinesl.size( ) = 2 s1 = 3484799, s2 = 14807667, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3484799, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 3727679, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3727830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10238997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15420115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15420115, s2 = 7147907, int(edited[s2]) = 0 s1 = 15420115, s2 = 7147907, d1 = 30, d2 = 25 Dl.O(d1) = 21885554,21806196,21806197,15745205,10904744,7212011,7212010,7211993,4543948,4543947,7211987,10904705,12229820,8257437,8257438,10955359,9460531,6203004,6202994,6202737,3882360,3882358,6202730,9460060,13795786,14574251,20308496,19295772,19295773,25960920,24226472,17854693,12644427,8585371,5578648,3461190,3461191,5578653,8585377,12644435,17590628,12416442,12416441,15782891,21854046,19296403,15809342,10955373,7250926,7250928,10955381,15745224,10904758,7212017,7212016,10904753,15745153,20308453,20308452,17359904,15745094,15745095,12229796,9460541,6203009,3882517,2324894,1347780,769084,437148,246793,136340,136339,246789,437140,769063,1347731,2324775,3882262,6202558,9459806,13795413,19295251,16449795,16449793,17132219,22639938,16450849,11462043,7623950,7623946,11462028,16450822,268664113 Dl.O(d2) = 263215697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15420115, s2 = 7147907, dlinesl.size( ) = 32 s1 = 8173064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8173064, s2 = 11619898, int(edited[s2]) = 0 s1 = 8173064, s2 = 11619898, d1 = 50, d2 = 54 Dl.O(d1) = 257543998,53125761,255922946,255102630,254539186,12634894,12634896,17842359,21120264,19656128,14089216,10384546,10384544,11577336,8580075,8580076,12637052,12637963,12637066,12637065,8580740,8580696,8580641,8580640,5575135,3458335,3458334,5575132,8580811,12638299,17846938,24216283,31365990,31365989,30171549,30171547,28276775,22582699,16400231,11416772,11416774,12030588,17119621,21952521,15861758,15861759,21952525,17842361,17842362,19663072,26395119,22795176,16578486,11559008,11559009,14095883,19664714,22063029,22063027,20795664,20795662,19820425,17118141,17118140,23389984,30819065 Dl.O(d2) = 267184025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8173064, s2 = 11619898, dlinesl.size( ) = 14 s1 = 9196134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3728502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15682768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3486051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3729803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3729803, s2 = 3487323, int(edited[s2]) = 0 s1 = 3729803, s2 = 3487323, d1 = 3, d2 = 7 Dl.O(d1) = 129167535 Dl.O(d2) = 115236380,259109754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3729803, s2 = 3487323, dlinesl.size( ) = 2 s1 = 3729803, s2 = 3487323, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3729803, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9706737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6766810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6766810, s2 = 6823160, int(edited[s2]) = 0 s1 = 6766810, s2 = 6823160, d1 = 84, d2 = 89 Dl.O(d1) = 258221802,115241493 Dl.O(d2) = 238189828,266590739,236672204,237467592,266683459,266533577,235090664,235090663,235090664,234057608,232923728,231671965,230279172,266024689,274566193,228712189,226931617,224888679,224888680,226931615,228712186,228712183,228712182,228712181,228712188,226931616,265754081,226931616,224888678,224888677,226931615,228712186,226931614,224888676,222536082,222536081,224888674,224888681,222536084,219797056,264812999,207851931,202043822,195136431,195136432,195136433,187059791,177786216,262338467,143108454,129777928,115878620,101832091,258879113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6766810, s2 = 6823160, dlinesl.size( ) = 34 s1 = 10161899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3488232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9475583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15903389, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11658266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658266, s2 = 6482772, int(edited[s2]) = 0 s1 = 11658266, s2 = 6482772, d1 = 8, d2 = 12 Dl.O(d1) = 19193120,13707745,9388823,6151029,3848878,2306124,2306123,3848877,6151027,9388818,13707740,19193178,25848098,33652498,42682826,53134045,65119652,78402094,92438386,106743437,120995994,134791998,147909791,160157887,171377088,181398545,190200570,197800691,194875911,186770606,177463625,166924875,155239883,142602786,129232135,115303930 Dl.O(d2) = 39518969,30909801,23474099,23474098,255048194,11134619,11134620,16036334,15174525,15174526,16187580,22335018,20046537,14360858,14360856,18589682,21822747,29129692,29494813,31503639,24712392,24712393,20044413,14359493,9867009,9867010,14359499,20044388,20044389,20223086,17432459,17432458,17432452,17432453,23760019,22642769,22642770,21786659,21786660,25146301,25146302,29075561,33756258,25948458,22642835,16452952,16452953,15722732,15722731,21781786,17542725,13210505,13210506,13210342,13210344,18589739,16790075,11739796,11739798,15756118,15756116,13733045,13733042,11425088,7594654,7594656,11425090,16408822,21824025,15756865,15756866,21824030,23365795,30791650,37631550,33703611,29129371,29129372,29074754,29074753,29080244,26938602,20052600,14366838,14366837,14366849,20052616,26938629,35019588,256355288,47923492,38008529,29446343,22113008,22113009,18351206,13028278,13028277,18351205,268200951,15117957,21047294,21047235,15117899,15117900,17248408,12130052,8161222,8161221,12130049,17248399,23557658,22417046,22417043,255377015,15117972,21047318,28247413,21047311,21047312,256292989,29782644,30695571,32489539,32489538,28247375,21047274,21047273,28247373,36743291,30855480,23424524,17147145,255536771,30855475,38939632,256996467,42148030,33188715,25443178,25443176,30853782,25313010,25313009,33040804,30877465,30877464,39482855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658266, s2 = 6482772, dlinesl.size( ) = 2 s1 = 11658266, s2 = 6482772, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11658266, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3731805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3731805, s2 = 8285986, int(edited[s2]) = 0 s1 = 3731805, s2 = 8285986, d1 = 10, d2 = 9 Dl.O(d1) = 142608719,129238813 Dl.O(d2) = 115310824,257402012,73610663 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3489569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3489734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14196395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8413641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6871530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3732795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15076835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6991675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9373661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9373661, s2 = 3491105, int(edited[s2]) = 0 s1 = 9373661, s2 = 3491105, d1 = 11, d2 = 1 Dl.O(d1) = 257850638,100531996,98520022,98520021,107599651,93199668,79084928,258052796,34080740,26220277,268293144,9586214,9586213,13961907,19506234,25966106,24261672,21343949,21343948,19300260,18090180,18090181,24521750,25336230,18756616,13961825,9586147,9586146,10613634,7003728,7003727,10613631,14417070,268151844,21353590,18019972,12771997,12771996,254305264,8713614,5672126,3883353,3883354,6204309,254944299,18077368,18753382,25332714,24506434,18077913,12816569,8714146,8714145,12816568,13452155,13452153,18877028,25478764,33227080,26643436,19830323,14205311,9765323,9765325,14205305,10627107,7014281,7014282,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283553,11002798,13351314,9123569,9123570,13351315,17477545,254734512,7005676,4403656,2659961,2659962,4431214,7000245,4399431,4399430,7000244,10609158,15356461,11023779,7298560,4603514,2770228,1606425,1606427,2770237,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188338,10872061,15704996,21760182,255104012,14095680,19664451,26392667,24120229,24120228,26392639,22615216,16566532,16566533,19591103,19658975,14095675,14095676,16584101,16915797,19649741,19649742,22799475,22799474,30189239,37271426,37271427,29987981,22620552,22620551,21960257,15867479,10997730,7280212,4591374,4591373,7280209,10997720,15867465,21960238,24524329,26388856,26388855,25575499,25575498,19839109,14212642,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006810,11960798,17049397,20168464,19652300,14086263,14086262,12032826,8089349,8089347,9759961,9759962,14197887,19820628,17121444,12032017,8088816,5182413,5182412,5182289,5182288,8088594,12031630,17121009,22782976,16567312,16567311,12034069,8090154,5183145,5183146,8090158,8087922,8087019,254386485,254386487,5181473,5181477,8087074,12029153,12030886,12030885,17117595,20895004,20797252,20797248,27958851,30816826,28915449,28656511,21412824,21412823,17125163,12277007,8291185,8291184,12277005,17418708,19659825,15423761,10662433,7041588,7041587,10662432,15423759,21412820,28656505,27079013,27079012,35166852,44544558,55390733,55390732,55391893,254980218,28566229,21339117,21339116,28566227,37068212,46947626,58314398,71030300,257317510,126386001,126386005,259166516,98519992,98519993,112515067,126386008,126386006,126386007,139761650,152482694,272463362,152482693,155381744,142794364,129472739,115587640,115587639 Dl.O(d2) = 115587602,259482327,73988273,61209166,49730598,49730595,61209162,61209175,61209174,73988281,87588616,87588613,73988277,73988276,259482329,115587611,129472704,142794330,271384716,115933107,258238764,61531107,268987536,50051752,256500512,74308663,87630624,87630623,259485608,129523184,260100884,101886853,115933114,129832864,129832862,129832861,260698028,150602984,150602983,137645370,137645371,126287707,112425002,98436809,84515359,84515358,81557148,68067001,68067002,70951783,58234655,46866803,46866804,58234657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9373661, s2 = 3491105, dlinesl.size( ) = 12 s1 = 11659006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6965574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13303557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3492288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3734612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3735203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13576055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8748455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10176624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8414625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3495307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3495307, s2 = 7735694, int(edited[s2]) = 0 s1 = 3495307, s2 = 7735694, d1 = 5, d2 = 24 Dl.O(d1) = 115749462 Dl.O(d2) = 89163517,75415642,257704413,40780566,40780565,50896867,62496743,75415639,259567919,257704413,40780566,32024346,256569687,50896865,58365469,46995407,37110120,37110119,255684402,64138687,257224280,258433210,159176800,170518499,180653759,189555048,273246307,160008646,171245284,181283058,264372205,274048844,208273335,264004825,187768672,273190541,156829406,168298383,273408423,168298386,168298387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3495307, s2 = 7735694, dlinesl.size( ) = 16 s1 = 11658060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 170754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9032035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9032035, s2 = 11294902, int(edited[s2]) = 0 s1 = 9032035, s2 = 11294902, d1 = 108, d2 = 66 Dl.O(d1) = 24889204,18389428,13062117,13062116,13555338,18995106,24889201,21606909,15578420,10776346,7120271,7120272,10776349,15578428,21606928,256340091,29816698,29816699,38389504,48299985,59686568,72421649,73509780,60760685,60760686,67797502,55455572,55455573,67797326,55455397,55455398,55225015,44374244,34996055,26914648,26914649,34996057,44374247,55225018,66872810,66872811,66872862,55454524,44605875,44605876,55454527,55454568,55454569,44606978,44606979,55455566,67797493,81265499,81265502,67797495,66872879,66872881,55455735,44607145,44605917,44605916,54615144,43872876,43872875,52544060,42185262,42185261,52544057,64418356,55455369,55455370,67797306,55455382,55455383,55455439,55455438,67796567,66872897,54615166,43872895,43872794,34602761,34602760,43872792,44605937,35225110,35225111,268552188,54615153,54615156,54615157,66872886,77587178,64418346,64418347,67797299,67796563,67796564,73310869,60567742,49168622,49168623,60567744,67796582,55455558,44606976,35226073,35226072,43872798,43872799,44605957,48564980,48564981,59956851,55455373,44606759,35225896,27131986,27131987,27132054,35225986,44606850,44605944,35225119,27131302,27131300,27131993,27131994,35225130,35225131,44605955,55454598,55454601,54615155,43872883,34602834,34602835,35226088,35226089,44606988,55455580,67797506,254681046,49168627,39243295,35225124,35225123,44605950,44606741,35225881,35225880,44606736,44606798,35225931,27132010,20226442,14514223,14514224,20226444,27131989,20226502,20226503,27132075,27132012,27132014,35225934,27132022,27132021,27132209,20226570,20226571,27132212,35226183,44607118,44605906,44605905,35226175,27132197,27132196,268049894,20226512,14514259,14514258,20226507,27132109,35226058,44606860,35225998,27132062,20226476,14514243,14514244,20226478,27132066,35225105,27131965,27131964,27132049,20226467,14514236,9987300,9987301,268340827,33450234,35226007,35225980,27132051,27132028,20226453,14514229,14514230,20226457,27132035,35225955,44606817,38649733,38649734,44606814,37800561,254982748,20226517,20226518,27132120,35226069,44606858,44606856,35225996,27132060,27132059,35225994,35225108,27131295,27131293,35225107,44605932,44606995,254474626,38649707,48564986,59956858,72694849,67797556,55455631,55455628,67797525,55455598,55455597,67797434,55455502,44606909,255337782,59956876,59956874,59956866,59956867,67797448,55455510,44606916,44606917,55455512,44606931,44606932,255337798,55455608,44607004,35226104,35226103,44607001,55455606,67797534,81265478,80382451,72694874,59956891,59956892,67797629,67797630,72694876,72694875,81265473,72685375,59946604,48554464,38639705,30065149,30065148,38639703,36704268,36704269,46591093,39009834,30420513,30420514,39009839,48933319,60331110,48933328,39009844,39009842,48933325,60331117,67797410,55455486,55455487,67797411,70685442,57967497,46591203,46591202,40804695,32044702,32044701,30420521,23015450,16775530,11728906,7830429,4970446,4970445,7830427,11728901,16775523,23015442,30420505,39009824,46591054,57967404,70685339,59832353,48445948,38537308,29971195,29971194,38537306,48445946,59832352,57746889,46396139,36535292,36535291,28213216,21019613,21019612,28213209,36704362,46591173,46591209,257210526,46591067,36704248,28213129,21019554 Dl.O(d2) = 256024216,268113536,23954743,17608040,17608038,23297330,23297328,23953779,23953780,22955689,16719380,11677647,11677648,16719386,22955707,22955914,20978892,20978893,23962946,17613668,17037121,11951057,7999934,7999933,11951051,17037110,23297093,23958169,23954844,17608127,17608128,23954849,23955269,17608419,17608420,23955275,17613834,17613835,23963199,23297258,23297260,30714093,31446798,30683539,30683537,255181696,60607264,60607251,49206780,39280438,30714243,255528569,17037288,23297355,30714250,39312067,49238824,49238823,47153509,37248267,28717313,28717314,37248271,38943627,30357433,24965121,24965120,30357388,30357390,30357490,22955858,22955859,30357494,38943707,37224215,37224214,40132162,31451949,23958766,23958765,31451921,31446298,23954209,17607729,17607728,23954201,23955252,17608411,17608413,23955233,28056407,28056408,31446160,31446151,31446150,39311864,30713973,30713972,38822789,47121991,47121990,40126111,31446424,31446426,40126116,34989205,26908396,26908398,33621312,25820858,19170618,19170619,25820862,33621322,42648953,39312284,39312283,49239066,60639778,73385984,77203866,84489837,70925519,70925518,62841716,51191781,41035602,32243335,24645319,18188901,12900567,8775146,5714999,3557575,3557577,5715010,8775166,12900606,18188987,24645469,22119418,22119420,29453389,38015573,47929749,38015794,38015795,47929947,41035564,41035563,51191742,59322023,59322042,72056515,61632974,50150496,50150497,50150821,40129348,40129349,40129914,38015691,29453477,22119467,16005969,11112100,11112101,16005971,22119471,29453485,31449323,31449324,38015863,41035557,38015926,254597624,29415327,29453792,22119675,16006098,16006097,22119634,16006121,16006119,15477048,15477049,11112224,7370012,4655908,2804903,1627161,1627160,2804897,4655902,7370002,11112200,16006151,22119758,23957108,17609866,17609865,23957106,29453808,29453807,38016052,40128819,40128822,32905791,25194409,18632710,18632709,25194404,32905779,40262198,31575083,24069502,17713493,12530377,12530378,17713496,24069510,31575098,40262220,40262257,47930210,38016114,38016113,47930209,59322333,49963297,49963296,61441535,74221388,74546663,88161607,77090621,77090622,84847285,71273467,61762974,50283211,50283212,61762976,71285157,71285158,72056730,85643768,88161595,100850359,98773976,84859485,76649467,76649466,84735779,71165839,71165838,71285168,71285169,84859437,71285227,58553467,47164582,257067556,47775377,59174130,71285182,71285183,84859447,98787408,102152643,102152644,113608913,113608914,112660951,112660952,98787404,84859440,84859439,98787403,98787419,98787418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9032035, s2 = 11294902, dlinesl.size( ) = 54 s1 = 4155626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13969939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13969939, s2 = 15625082, int(edited[s2]) = 0 s1 = 13969939, s2 = 15625082, d1 = 12, d2 = 15 Dl.O(d1) = 269868677,259493067 Dl.O(d2) = 255839442,37254135,37254134,37254133,255839440,28723218,21466939,15465821,15465820,21466937,26371578,34248558,43348675,53873889,65941856,62352887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13969939, s2 = 15625082, dlinesl.size( ) = 2 s1 = 13969939, s2 = 15625082, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13969939, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 8507417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3737833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8524798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233775, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13534941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8364571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8364571, s2 = 9448034, int(edited[s2]) = 0 s1 = 8364571, s2 = 9448034, d1 = 30, d2 = 96 Dl.O(d1) = 61418452,74196947,87800210,101772241,115817831 Dl.O(d2) = 112861925,98874394,84948272,256935324,256935322,37331675,37331674,44467808,55313691,67653072,81119614 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6987108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6987108, s2 = 1861776, int(edited[s2]) = 0 s1 = 6987108, s2 = 1861776, d1 = 44, d2 = 14 Dl.O(d1) = 261003717,123795354,137517247,129717909,115819156,115819155,115819157,129717911,143048437,155598183,143048439,129717912,115819158,115819153,115819152,101773516,87801424,258029554,49941617,268913034,31248277,31248276,31248281,31248278,268203028,12289996,12289997,17436072,23763889,23763894,17436075,17436076,23763896,29817622 Dl.O(d2) = 48351571 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3233396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8025191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8182026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7048802, s2 = 6661607, int(edited[s2]) = 0 s1 = 7048802, s2 = 6661607, d1 = 96, d2 = 122 Dl.O(d1) = 261827563 Dl.O(d2) = 259499801,61432579,257061379,31262224,255559173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7048802, s2 = 6661607, dlinesl.size( ) = 82 s1 = 3741558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3196872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359783, s2 = 9150709, int(edited[s2]) = 0 s1 = 10359783, s2 = 9150709, d1 = 111, d2 = 135 Dl.O(d1) = 265322011 Dl.O(d2) = 74248393,61470072,260209831,75987964 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9280318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9280318, s2 = 9702166, int(edited[s2]) = 0 s1 = 9280318, s2 = 9702166, d1 = 67, d2 = 93 Dl.O(d1) = 223624643,222535101,219795976 Dl.O(d2) = 259502732,61470072,49992624,49992625,258256081,51752471,41482515,41482516,51752473 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10138239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8470476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6675261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9570038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9570038, s2 = 11657470, int(edited[s2]) = 0 s1 = 9570038, s2 = 11657470, d1 = 29, d2 = 33 Dl.O(d1) = 39029443,30440298,23033457,16790069,11739794,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780332,15721486,15721487,21780342,23033912,16790362,15719359,15719357,21778480,26943648,26951703,20067148,20067149,26933156,20046924,14361150,12488072,12488069,15499935,21508866,26933683,30021351,35017869,26936567,20050641,14365122,10883366,10883367,15720085,21779108,29077028,29131405,29131404,254338668,11096956,11096955,15984751,22092113,29422811,29493750,29493751,38057483,35019342,254126218,20052396,26938333,28611623,28611622,37122272,47009021,58380012,71096669,84413578,71444046,58712857,47323971,47323970,58712856,268617818,49380948,39452866,39452865,38217424,29651020,22298978,255085221,7446378,4704767,2834206,2834207,4704771,7240298,4564636,4564634,7240292,10941941,14404966,14404967,15804878,14404975,9907840,9907839,11582156,15806391,15806390,21880649,21880647,29192461,37753791,29193270,23343297,17077106,17077107,23343299,29193407,21881513,15805710,10952392,7248644,4570651,4570649,7248640,10952385,15805697,21881497,21882611,20091738,14405004,9907856,6511940,4570630,4570629,7248604,10952323,7248788,7248789,10952635,15806076,15792759,15792757,20907096,15002082,15002083,15809981,10955857,10955858,15809988,15803611,10950628,10950627,15803605,21878992,22386223,16227991,11281258,11281257,10952346,10952344,15805629,21881410,23485299,27215806,22648803,16457551,16457552,22648806,29624017,29624016,37738390,37738125,29177696,29177613,21867096,21867097,21867181,29177715,36417576,27959617,27959618,36417577,46270211,48434518,38526581,38526580,48434516,258151999,72555926,86154229,259134930,88084604,257288708,50207778,40185558,31500445,268259137,12486556,17657533,24002242,30314691,38901272,256757748,48566425,48566426,40186534,40186533,50208505,52360554,42023702,42023703,50208274,40186257,31501082,24002663,24002664,23562721,17251866,267908570,8162561,12132302,17251864,23562716,31046556,27122978,27122976,29903366,38439188,38439185,31046675,23562797,23562798,31046682,31500673,24002390,17657621,17657624,23977071,23185230,23185231,30604200,33078657,25348081,18766650,18766647,18767281,13363694,13363691,18767272,25348067,25348066,29475218,35183808,27124002,27124001,32454820,25348666,18767029,13363579,13363581,17657738,24002614,31501012,25348114,25348113,20219723,20219722,27123666,27123651,27123650,31500916,31764073,31764071,40458469,38434995,38434997,38460167,32296411,24685244,24685245,32296415,28874401,21598922,21598921,23690480,21479943,18766867,13363500,9132825,5976542,3737549,2237722,2237726,3737563,5976564,9132849,13363544,18766956,25348563,22595420,16412216,16412217,255921859,32742063,25051792,25051791,31499162,31499163,40184038,256515462,38571783,42308599,33328156,27122964,27122967,35215553,44596424,51097241,40954278,40954277,43121471,43121470,50207833,40185646,40185645,48149422,48149423,48361599,55447513,44598041,35217189,255953082,20220071,22631901,30001430,35217399,27124682,20220355,20220357,24002062,17657417,12486503,8457363,8457362,12486501,17657408,17743768,24102372,31605300,31605360,24102421,17743795,17743794,24102418,31605358,40289185,46720932,46720931,47652521,59053463,50206925,41334530,32486595,32486594,41334529,48458078,38545834,29976991 Dl.O(d2) = 254877268,254421662,50414748,40380391,31686633,24177883,17809597,12608172,12608173,17809603,12644557,8585503,8585505,12644560,17705721,17705722,23337395,17071267,11982723,11982720,254139720,30760118,39361060,31199883,31199884,24186461,24186460,31641910,31641909,33169028,33307047,39038097,35128735,27041886,24208508,17838484,17838485,24208510,31716315,31591660,24088187,19703166,14127481,14127480,19703164,26442349,30040167,31838771,38821146,47550577,47550576,46294057,38960451,38960452,40486805,31791688,24277948,24277947,29096216,37645216,31669986,24160379,17793004,17793005,15538292,10897953,10897951,15735227,21062521,21062522,21067895,22974122,16737504,16737503,22974117,268003906,29094770,31679034,35129487,34572809,26586034,19781868,14169204,9740899,6405220,4018532,2407996,1393341,1393342,2407999,254417053,8550557,12599856,17799604,24167283,29092465,37642610,30718629,30718628,37644152,29094640,23301302,22754939,16543611,11530216,7670389,4853240,4853242,7670392,11530218,16543612,22754940,30140850,22945013,255124137,11668147,16708899,22945011,30346409,37848503,29280739,21955919,21955920,29280741,37848505,47771643,59170667,59810181,59810184,51423419,41226286,41226287,51423421,59078167,255626084,37209872,35009381,35009051,35009052,39454437,35064476,34295377,26419097,21435836,21435834,28685662,26927265,20041828,14357056,14357059,20041835,26927280,20042116,14357243,9865062,9865063,14357249,20042129,26927700,255323450,32708014,25023524,18492744,13138125,13138127,18492749,25023531,32708025,32081902,24507930,24507928,32081899,40853993,50988894,62611148,59039779,47637822,37715397,37715398,47637824,59039782,58846923,47461825,42703816,33673328,26323264,26323263,19596801,14041458,14041459,19454728,26153752,26323104,19596639,19596640,19228117,19228118,19596621,19298191,13797652,13797653,19298192,25964123,19323359,254414254,17320534,17320536,19646694,14081826,14081827,19646696,254587492,26380892,23782392,21821340,18665164,16087189,16087190,11173288,7413039,4684165,4684167,7413047,11173174,7412960,7412959,11173167,11406566,7579771,4794283,2890003,2890002,4794278,7579756,11405693,13732171,13732172,11405655,11405656,11405647,11405457,7579195,7579194,11405577,16387669,16087326,11173192,7412974,4684128,4684129,4794216,2889973,2889974,4684140,7412995,11173229,7579883,7579882,11406234,7579556,7579557,7579645,7579646,11406352,16388663,22569616,24278156,17897742,12678033,12678032,16388450,16388451,254867820,19633326,14070166,11406745,9410592,6165675,3858053,3858055,6165681,9410602,13736484,19228630,267849702,267849704,4454559,2675992,2675991,2675997,2675995,4454569,7075563,10710085,13736791,15487410,254591400,16312221,22483941,21492915,15486915,10709422,10709423,254203388,12588275,12588274,10710171,7075606,7075605,8259579,8259580,12231815,17361613,12232248,12232250,16888790,13496491,13496489,12608733,8557597,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12291616,9409938,6165309,6165310,9409940,13735506,267799466,5352486,3289566,1934480,1104951,1104950,1934475,3289555,5352472,8296996,8302745,8302744,10711550,7076490,7076489,10711544,15489824,17450329,12301104,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10897533,10897534,15734597,21793364,22480247,29846370,38415989,48325434,58847609,47462655,46751984,36872818,29324901,29324900,35008866,26927252,26927251,35008864,44386285,268741225,25354739,18772600,13368577,9136617,9136616,13368575,18772599,21158807,21158805,25832723,33635553,256372102,65103781,78387497,71928445,59188808,59188807,269146396,83969941,84499720,84499719,87960467,269874556,50101732,40081085,40081084,50101730,58835539,47449361,47449362,259949953,113045315,113045316,126897902,140245100,261318172,117610451,103480801,89387083,75625970,62681311,51050783,40909130,256040570,24550661,24550660,32131439,31565919,24060280,254418048,28451896,29157691,29157692,30250549,23250421,23250422,17361210,12231500,8259178,6906525,4337862,4337861,6906521,9410883,9410882,6906358,4337763,2596901,1498066,848925,848927,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474516,10474526,8540205,8540204,12587970,10510513,6930948,4354688,2608469,2608470,4354693,6930959,5538228,3423702,3423699,5538218,8540132,12587884,17785326,24152572,31264762,23779472,17449455,17449456,23779464,24095250,25465294,33212877,39851752,39851754,31646604,31646605,31585625,267774188,17722767,12538602,8511111,5510856,3398812,3398811,5510852,8511104,12527590,12527591,17709847,254446080,254446078,24099809,23156299,23156300,24098692,31602898,31195988,31195989,31591616,31591615,30448897,23041259,254813058,16796105,16796104,17727190,17818674,24166347,24166348,31675780,31695692,24187980,17819505,16796873,16796874,16796135,11743981,11475675,7632776,4828928,4828925,7632734,7632733,7511935,7511936,11313495,12544302,8503456,8503455,12544300,17730769,24088114,24817251,24817250,255197922,255165648,18865314,25465511,27043649,35129666,30448481,23040694,23040693,24186393,17817733,12624025,8570149,5565911,3449635,2043232,2043231,2449870,1416454,1416455,2449874,4095017,6535777,9944178,12556714,8513301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9570038, s2 = 11657470, dlinesl.size( ) = 12 s1 = 9714217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9714217, s2 = 9513708, int(edited[s2]) = 0 s1 = 9714217, s2 = 9513708, d1 = 48, d2 = 39 Dl.O(d1) = 39920737,39920738,49938627,48163169,38253988,29688824,29688825,29688826,31376675,40058982,50080295,258263217,74338291,87941292,101914177,115958465,129856047,261836197,155737584 Dl.O(d2) = 31686633,24177883,24177882,31663004,24152207,24152206,31663002,30760121,30760120,31604205,24100889,17742352,12553786,12553787,17742355,24100895,26444768,19705741,14129330,9720408,6394404,6394405,9720411,14129339,19705752,26444779,254278044,25545384,33307047,39038097,30449129,23041570,17800432,14334908,14334907,20015254,26896971,34976210,44353787,40486805,34319707,26441805,26441806,21794760,15735699,15735698,21794471,21794472,29092465,37642610,30718629,30718628,37644152,30140693,22754808,16543496,16543499,22754813,21797745,16543577,11530193,7670374,4853232,2924584,2924587,4853242,7670391,11530217,16543612,255934427,30140850,22945014,255124137,254551987,4929548,4238653,4238652,3703029,3703028,5921996,6761131,4237058,4237057,2553219,1470747,831939,831941,1470754,2532292,1467150,1467152,2224532,1290308,736535,736532,736509,418683,236323,236324,418688,736557,1290340,1290341,2224583,1461726,827383,467047,262811,145618,145619,262815,467058,827413,1461782,2536770,4242827,6769590,10296388,10613948,7003999,6778172,4248673,4246453,3719557,3719556,4246458,5586790,5586791,4284100,3466115,3466116,3466159,5586944,6801635,4265431,4265433,4250238,4250237,6780507,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065561,9083138,5956124,3724804,3724806,5660490,3520367,2094193,1204945,1204944,2094188,3520355,2679145,1551888,1551889,2679151,4459787,254705243,6290963,3940350,3940349,6290961,9583853,13958400,19501945,26215514,22945010,16708898,16708899,22945012,30346409,37848504,29280739,256134704,19799921,19790353,19786381,14172544,9743217,254476793,2473231,1429663,1429664,2473234,4021783,4021782,4701480,4701479,267974727,16141783,22285340,25317809,25317810,29625043,29625044,255460898,16141677,268084932,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426327,23752130,17426663,14178470,14178471,19794317,16920704,16920703,23186899,27211876,26610813,19802941,14184735,9751168,6411586,6411585,9751164,14184728,19801351,14183533,9750389,9750386,14183525,19797567,14180855,9748732,6410170,6410171,9748737,10964959,10964961,15822449,14185321,9751568,9751572,14185334,14553854,12567105,8522159,8522161,8294540,8294519,5351039,5351041,5990011,5990010,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281505,14936724,14936727,16375929,22552830,22552874,22552872,27227619,23187245,22074809,16122111,15958843,11075863,11075860,12024726,12024725,14551440,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,29380563,35335512,254522750,20282863,21247302,18130510,12855929,12855928,18130508,20245916,255090546,12566904,9114630,9114631,13340395,18739476,25317109,33045024,35333258,27208186,27208187,27270946,22062227,15957817,11075041,11075042,15957819,11075064,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,20245887,14528162,14528161,20245882,27157506,35256552,27210134,20281963,20281962,255447302,35257422,42693072,37778628,29217923,21903612,15823522,254762830,29217924,36928853,254522186,16920854,16920853,19199767,13712336,13712232,13712231,19199621,19360274,15950877,15950876,17023032,12034350,12034274,8090296,8090297,8090324,8090323,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7707890,7706695,4877450,4877451,4877494,7706774,11578335,16601308,15864198,15864197,21955920,29280740,37848505,257493359,47319766,47319765,49954603,49954604,59170666,59170667,50094344,40073521,40073520,46744032,36862652,28364366,23897406,17551857,17551858,23897407,31391963,40073529,50094352,59810183,48424342,48424341,48648507,51423422,51423421,257148164,46298254,57642925,70333276,62051259,50558856,40522430,31825447,24308351,17923917,12699676,12699677,17923919,24308355,31825454,40522435,50558862,55388721,50102787,50102786,61582693,74359275,85676155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9714217, s2 = 9513708, dlinesl.size( ) = 2 s1 = 9714217, s2 = 9513708, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9714217, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 7009825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6897175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3503209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8540550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3504499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3504499, s2 = 8315308, int(edited[s2]) = 0 s1 = 3504499, s2 = 8315308, d1 = 77, d2 = 24 Dl.O(d1) = 115958399,129855993,143185010,155737529,167371047,177867068,187138720,195209662,202109093,207908472,212687645 Dl.O(d2) = 90863702,76985725,63874811,52055985,52055984,63874809,258282968,100919280,86937196,259452411,90863699,90863698,105042170,100919280,86937196,73326852,60582763,49182947,49182946,60582762,73326850,86937194,86937195,86876697,73264605,60519379,49117764,39189414,30591969,23173362,16909368,11833768,7908618,5027359,5027358,7908615,11833763,16909363,23173354,30591959,39189399,49117749,60519358,73264589,257593048,99846500,85891824,72299103,59564784,48178330,38268823,29702698,22348422,16198368,16198367,16198891,16198889,11576809,11576810,15768363,11577631,11577632,16600320,255106246,254796641,4877090,4877089,7706134,11318604,7515510,7515509,11318602,8237179,5309577,5309576,4875695,2937909,2937908,4875693,4875700,2937911,1703630,968382,968381,1703628,2937907,4875690,7703852,11573820,16226578,22384546,28413685,28413684,31076371,30207930,22816263,16597475,16597473,11576527,11576529,16598891,22816267,16597476,16597477,22816269,30207935,23859380,17516064,12351944,12351945,12351894,8345287,8345289,8345292,8345291,255175755,8345269,8345270,8345255,8345254,12351865,17512649,12349216,12349217,15667281,255175683,10845994,8345249,8345250,12349230,8343483,8343312,267910207,3312203,1948556,1948555,3311489,1948144,1948143,3311487,5385161,8343323,12349009,8343502,5385301,5385281,5385280,8343485,8343501,5385296,3311566,1948197,1948191,254270493,1948499,1113095,624614,254089491,103938,57146,32154,18485,10607,10608,18486,18482,18483,32150,57143,103931,190319,347094,624572,1113023,1948374,1948378,3311914,3312102,1948472,1948471,1113087,624610,347113,347114,624611,1113089,1948487,3312120,5386301,8343264,8343265,8345221,8345220,12351838,12351884,8345280,8345281,12351886,17515982,17516088,23859275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3504499, s2 = 8315308, dlinesl.size( ) = 12 s1 = 7049572, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9711152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3505287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8416632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3746412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7850692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7850692, s2 = 8505816, int(edited[s2]) = 0 s1 = 7850692, s2 = 8505816, d1 = 23, d2 = 18 Dl.O(d1) = 256005212,21302089,15333543,10590240,6986043,6986045,10590264,15333576,17576181,17576180,23917958,23919371,23919372,30679709,31387454,254828086,8362349,5407191,3324122,3324121,5407187,8365545,8365553,8378692,9261208,9261209,11315338,11315337,12403775,13500132,9236403,9236404,12388320,257073063,61578554,258887319,101930439,115974980,129872645,143202192,155754564,143202161,129872620,129872619,143202160 Dl.O(d2) = 143202164,155754570,262315102,143202175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8202231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8202231, s2 = 14643862, int(edited[s2]) = 0 s1 = 8202231, s2 = 14643862, d1 = 21, d2 = 10 Dl.O(d1) = 23904328,23904327,256526163,50099298,259511241,115975763,115975769,259523458,260734816,129873533,260138196,129873534,143203240,143203242,258899532,143203241,143203236,129873527,115975765,101931158,101931159 Dl.O(d2) = 129873532,271399798,115975769,101931160,87958309,87958308,101931159,115975768,129873533,260138196,129873534,143203240,143203242,258899532,143203241,143203236,129873536,115975776,101931165,87958312,87682609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8202231, s2 = 14643862, dlinesl.size( ) = 2 s1 = 8202231, s2 = 14643862, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8202231, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 8416631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8416631, s2 = 11353986, int(edited[s2]) = 0 s1 = 8416631, s2 = 11353986, d1 = 67, d2 = 50 Dl.O(d1) = 101940309,115984620 Dl.O(d2) = 261219445,114488396,100463808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8416631, s2 = 11353986, dlinesl.size( ) = 60 s1 = 8416661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8416661, s2 = 8218513, int(edited[s2]) = 0 s1 = 8416661, s2 = 8218513, d1 = 28, d2 = 48 Dl.O(d1) = 55224511,44373720,34995523,34995524,36951217,28788497,21524483,15512394,10728594,10523919,6940650,4361824,4361823,2681188,1553151,883070,498303,498304,883076,1553161,2681199,4462958,7088280,10728445,15254291,15254289,19079348,13621397,13621396,19079343,21524622,15512528,10728403,10728402,15512523,255842145,37324788,38523200,29958127,255481041,16410528,22593697,29958128,255540174,9318147,9318146,13608213,255680087,33457727,42450889,52855058,64774839,77969560,87970416,74368398,61591905,50111860,50111859,61591903,74368396,87970413,101942846,258294018,259541536,272277036,272604987,115987072,101942844,87970412,87970413,101942846,258294018,129884426 Dl.O(d2) = 73018218,73018198,60281502,48888070,38968204,30382206,22980283,22980284,30382208,38968207,48888073,60281506,73018219,60281537,60281538,72190492,72190495,62963562,51288175,51288174,270322607,112478758,98487154,84563994,71000113,58284945,46919102,256314987,255396161,10602341,9056728,5921139,3702492,3702493,5921156,8134079,5211452,3179497,3179499,5211453,8134081,12095025,17199901,23483222,30920569,39531118,42629813,38046548,29483155,22145068,22145069,29483158,33654463,33654462,37981835,37981834,33604988,25807259,19159763,19159761,25807252,19194922,19194921,25850057,19194773,13708924,13708925,19194775,25850061,19194943,19194944,25850372,25850300,25850301,33654999,37981809,29418866,25850110,19194815,13708952,9389706,9389705,11094812,7358136,7358138,11094815,15981767,22088338,22088337,22088346,25850278,19194889,13708987,13708984,19194879,256157115,42685221,53136036,256382744,37981832,42684793,39057785,39057787,33654698,33654699,42481916,42481915,41598381,33654641,25850033,25850032,33654637,42684910,42684846,33654581,255881153,15930172,15930174,22031645,29362394,33486373,38507363,46950561,37070805,28568331,21340833,21340760,21340761,28568183,37070539,46950233,46950527,37070782,37070781,42482084,33486363,25711611,25711613,33486367,42482095,42482131,52888710,53135851,52352769,46950545,37070795,28568324,28568323,37070792,34610643,26621855,26621856,34610648,37070522,28568208,21340776,21340766,21340765,28568188,37070548,28568380,28568379,29943474,29362372,29362371,29362386,29362387,37928985,256324266,21340846,15366482,15366483,21340850,28568366,37070859,46950481,46950483,58317494,55207443,55207444,48707612,38785429,38785430,46950383,46950384,58317428,51898593,51898591,63706493,71033255,58317332,46950571,46950572,58317568,46950693,37070901,28568393,28568394,28568306,21340820,21340821,21340839,22580353,22580352,29943485,37070890,37070891,46950577,46950504,46950502,58317507,48413280,38507309,38507308,44356970,55207371,55207375,55207429,55207430,67550982,58317615,55207466,44357051,34979630,26900239,20017982,20017983,26900231,34979613,34979641,34979564,34979565,34979590,34979589,34979599,34979600,44357017,55207422,60245766,48852849,38933551,38933550,48707685,38785488,30201104,30201102,37070742,28568301,28568303,28568335,37070811,38507350,38507348,38933557,38933554,42438547,42438546,52843163,55216914,44365863,34987891,26907306,20023782,19053334,19053338,25674933,33445618,25675199,19053471,13601739,254657941,6100976,9313623,13601734,9313628,9313629,13601753,19053370,25675041,33445772,33445622,33445621,42438559,44365919,34987936,34987937,44365898,44365899,42438985,42438977,33445931,33445932,42438689,42438857,257808695,59382536,64763481,60092316,60092317,50120646,50120645,42439109,33446030,25675204,19053476,19053475,25675203,33446028,33445929,33445928,42438971,52843599,52843256,42438638,42438637,49142994,48266404,48266403,52843617,42438989,42438988,52843615,64763506,64763324,52843191,52843192,50463986,40426344,31732327,31732326,40426342,255968598,36439861,257384395,268969856,59373625,49445753,44749921,35323749,35323748,44749920,55658102,47983611,38071547,29507830,29507831,37259258,38071477,44750065,35323887,29507843,22167418,22167419,29507846,27199888,27199803,20272984,20272983,22167455,27199808,35323662,44749827,39514252,33708781,25902458,25902460,256677325,53187714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8416661, s2 = 8218513, dlinesl.size( ) = 42 s1 = 3747260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3747327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4129970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4129970, s2 = 8431758, int(edited[s2]) = 0 s1 = 4129970, s2 = 8431758, d1 = 47, d2 = 18 Dl.O(d1) = 154277175,154277176,262747605,186086702,272413214 Dl.O(d2) = 116013973,101967304 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7010609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7010609, s2 = 6450008, int(edited[s2]) = 0 s1 = 7010609, s2 = 6450008, d1 = 15, d2 = 17 Dl.O(d1) = 109533787,260055484,150488630,162612704,155820726,261298785,116048744,101998754,88019961,74412264,61632160,50149530,40127968,31448160,31448159,31448158,40127967,31448157 Dl.O(d2) = 8400502,5420866,5420865,3332397,1959844,1119540,628162,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,1119860,1960152,3332806,5421492,5420867,254597585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7010609, s2 = 6450008, dlinesl.size( ) = 2 s1 = 7010609, s2 = 6450008, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7010609, Dl.E( ) = 18, 2.29e-05 seconds used appending s1 = 10347181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7010724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3749638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13335403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3749982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3750268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7626609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13683561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13683561, s2 = 10819287, int(edited[s2]) = 0 s1 = 13683561, s2 = 10819287, d1 = 134, d2 = 72 Dl.O(d1) = 168382414,175002510,164186817,262365098 Dl.O(d2) = 81035074,258023192,50248741,43020214,43020213,53499578,65525154,67565894,67564938,55221372,257903145,55223453,44372448,34994011,34994010,44372446,44372583,34994151,26912693,20028292,20028293,26912697,34994155,44371670,44371671,53494164,43015840,43015839,270657525,55221424,55221425,67564981,81034017,67564977,67564978,65525129,65525128,257303241,34991777,26910594,26910593,256737551,20026600,14344072,14344073,9855390,9855391,14344833,20027630,26911843,31161675,23673228,23673230,31161682,39844359,34993630,34993628,26912469,26910692,26910693,26911137,20027017,14344377,9855085,9855084,14344372,20027014,26911131,20028080,20028081,26910539,34991690,39841674,31159016,31159017,39841676,49864730,61347226,49864735,39841685,39841686,44370881,34992449,26911132,26911133,23673253,17353842,17353843,23673254,31161706,256737543,39841665,49864725,61347224,74129437,258523560,31159020,31159018,31159005,31159006,38745805,30162426,30162427,23670852,20027128,14344464,9855142,9855140,14344463,17353832,23673236,20026696,14344122,9854899,9854898,14344118,14344119,9854904,6473758,4056892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13683561, s2 = 10819287, dlinesl.size( ) = 2 s1 = 13683561, s2 = 10819287, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13683561, Dl.E( ) = 136, 3.81e-05 seconds used appending s1 = 6796195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796195, s2 = 12446620, int(edited[s2]) = 0 s1 = 6796195, s2 = 12446620, d1 = 22, d2 = 24 Dl.O(d1) = 258621112 Dl.O(d2) = 61735995,50257581,40238236,31552250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6796195, s2 = 12446620, dlinesl.size( ) = 26 s1 = 3247766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2957669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14330173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14330173, s2 = 9551841, int(edited[s2]) = 0 s1 = 14330173, s2 = 9551841, d1 = 7, d2 = 7 Dl.O(d1) = 20941592,28118800,36591707,46457873,47234900,37326077,28789664,21525548,15513356,10729143,7088948,4463481,2681572,2681571,4463479,4463482,2681574,1553384,883216,883215,1553382,2681570,4463478,2681576,1553385,883218,883217,1553283,2681418,3019320,3019321,4997193,7866458,4993246,3016656,3016657,4993247,4994696,7868207,7868204,7868205,11784002,16850053,16850052,16850051,23108265,256462977,39124330,257588111,73205508,86818359,271363601,86818349,73205500,60458396,60458397,73205503,86818353,100799477,100799478,100799474,100799473,114850895,128749207,128749209,128749208,142106125,272881691,142106127,142106126,154742337,166450786,263199665,194550800,194550794,194550795,264254165,212270593,216233535,219518907,222294351,222294349,222294350,224677432,226746636,228550992,227105501,225085925,222761742,220058662,216858894,274161226,273948388,264101268,273480154,168303312,156834776,156834773,144424381,131193825,117390695,103261419,89171602,75424026,62505007,258462352,32030831,24468433,18048458,255606589,32030827,40787762,50904521,62505004,75424023,89171598,103261414,263661141,202550231,274023019,263664942,262864172,261356880,143464795,260189956,143464796,130133830,116223107,257710586,88171228,76919558,76919557,75677407,72964238,72964239,257920353,35209263,268551885,254982115,254982117,268665082,11251707,7469093,4720155,4720154,7469092,11251704,16186941,11510554,7657165,4845013,4845014,7657171,11510560,16516555,254707146,16555817,22769851,23548475,23548476,31029565,25274130,18701791,13308683,9090035,9090036,7656090,4844424,4844423,4486243,4486244,7125637,6848823,6848824,10391387,10047747,10047748,14602273,20344829,27280260,27219956,20291363,14560714,14560712,20178624,19833982,19833981,26647507,31734584,24226014,24226013,31734582,30159620,254485308,48664099,255367054,31883911,27971755,20808390,14913081,10254252,10254253,14913083,20808395,22091564,21589184,21589182,15984375,11096739,11096738,11097535,7359795,7359793,11097541,15756710,15756709,21823781,21780201,15721390,15721388,16187723,22335177,18240118,18240119,15987092,11098363,11098365,7360256,4649285,4649284,7360253,11098384,9197588,8802113,5733629,3570088,3570081,2128003,2128002,3570066,5733585,8802030,12938046,18239570,24711452,29080405,29080402,37630709,47536341,48838202,59301142,47906158,37990086,29428236,22097154,15988526,15988527,22097155,29428239,37990091,37990106,47906152,47906151,37990081,29428233,29428234,37990083,47906154,54868501,44067826,44067825,51753783,51753782,63532644,76612631,90471154,104634820,259145417,67187297,67187298,75627470,62682771,62682770,75627468,89388526,103482184,103482182,103482167,103482168,117611762,118046372,118046350,103904664,89803631,89803630,100528912,100528910,114559673,109021606,94741033,94741034,109021608,123247078,123247077,260980081,150092738,162261223,169021505,157560576,145127889,131870904,118046420,118046419,131870902,145127885,157560572,169021503,157560574,157560573,157560575,157560570,262418825,179306405,188355491,180185366,170019392,170019391,173331525,173331526,170019381,158661326,146293371,146293370,146293369,146293368,133066169,119236349,105044054,260249129,90865323,105044090,105044056,105044055,119236350,259632579,90865338,105044100,119236399,133066199,128183940,114301411,100271627,100271628,86312454,86312455,86312460,100273865,114303662,100273863,100273861,258787356,270336762,105869776,120083170,105869780,91661062,269824232,72713250,59976307,59976308,63812563,63812562,76919302,90794026,104970324,119163720,132996968,260629645,100272707,86311217,72714335,270336723,100272703,102152732,102152733,88161704,74546776,66902354,54645130,43901948,34629516,34629515,43901947,257886161,80329627,94384221,94384222,271145117,115910300,108625743,101864364,87890865,87890864,80282452,66852653,66852654,61511552,50033335,40014632,31336297,23844322,255270242,8338074,8338073,12341958,17503270,23844318,31336289 Dl.O(d2) = 20941592,28118800,36591707,46457873,47234900,37326077,28789664,21525548,15513356,10729143,7088948,4463481,2681572,2681571,4463479,4463482,2681574,1553384,883216,883215,1553382,2681570,4463478,2681576,1553385,883218,883217,1553283,2681418,3019320,3019321,4997193,7866458,4993246,3016656,3016657,4993247,4994696,7868207,7868204,7868205,11784002,16850053,16850052,16850051,23108265,256462977,39124330,257588111,73205508,86818359,271363601,86818349,73205500,60458396,60458397,73205503,86818353,100799477,100799478,100799474,100799473,114850895,128749207,128749209,128749208,142106125,272881691,142106127,142106126,154742337,166450786,263199665,194550800,194550794,194550795,264254165,212270593,216233535,219518907,222294351,222294349,222294350,224677432,226746636,228550992,227105501,225085925,222761742,220058662,216858894,274161226,273948388,264101268,273480154,168303312,156834776,156834773,144424381,131193825,117390695,103261419,89171602,75424026,62505007,258462352,32030831,24468433,18048458,255606589,32030827,40787762,50904521,62505004,75424023,89171598,103261414,263661141,202550231,274023019,263664942,262864172,261356880,143464795,260189956,143464796,130133830,116223107,257710586,88171228,76919558,76919557,75677407,72964238,72964239,257920353,35209263,268551885,254982115,254982117,268665082,11251707,7469093,4720155,4720154,7469092,11251704,16186941,11510554,7657165,4845013,4845014,7657171,11510560,16516555,254707146,16555817,22769851,23548475,23548476,31029565,25274130,18701791,13308683,9090035,9090036,7656090,4844424,4844423,4486243,4486244,7125637,6848823,6848824,10391387,10047747,10047748,14602273,20344829,27280260,27219956,20291363,14560714,14560712,20178624,19833982,19833981,26647507,31734584,24226014,24226013,31734582,30159620,254485308,48664099,255367054,31883911,27971755,20808390,14913081,10254252,10254253,14913083,20808395,22091564,21589184,21589182,15984375,11096739,11096738,11097535,7359795,7359793,11097541,15756710,15756709,21823781,21780201,15721390,15721388,16187723,22335177,18240118,18240119,15987092,11098363,11098365,7360256,4649285,4649284,7360253,11098384,9197588,8802113,5733629,3570088,3570081,2128003,2128002,3570066,5733585,8802030,12938046,18239570,24711452,29080405,29080402,37630709,47536341,48838202,59301142,47906158,37990086,29428236,22097154,15988526,15988527,22097155,29428239,37990091,37990106,47906152,47906151,37990081,29428233,29428234,37990083,47906154,54868501,44067826,44067825,51753783,51753782,63532644,76612631,90471154,104634820,259145417,67187297,67187298,75627470,62682771,62682770,75627468,89388526,103482184,103482182,103482167,103482168,117611762,118046372,118046350,103904664,89803631,89803630,100528912,100528910,114559673,109021606,94741033,94741034,109021608,123247078,123247077,260980081,150092738,162261223,169021505,157560576,145127889,131870904,118046420,118046419,131870902,145127885,157560572,169021503,157560574,157560573,157560575,157560570,262418825,179306405,188355491,180185366,170019392,170019391,173331525,173331526,170019381,158661326,146293371,146293370,146293369,146293368,133066169,119236349,105044054,260249129,90865323,105044090,105044056,105044055,119236350,259632579,90865338,105044100,119236399,133066199,128183940,114301411,100271627,100271628,86312454,86312455,86312460,100273865,114303662,100273863,100273861,258787356,270336762,105869776,120083170,105869780,91661062,269824232,72713250,59976307,59976308,63812563,63812562,76919302,90794026,104970324,119163720,132996968,260629645,100272707,86311217,72714335,270336723,100272703,102152732,102152733,88161704,74546776,66902354,54645130,43901948,34629516,34629515,43901947,257886161,80329627,94384221,94384222,271145117,115910300,108625743,101864364,87890865,87890864,80282452,66852653,66852654,61511552,50033335,40014632,31336297,23844322,255270242,8338074,8338073,12341958,17503270,23844318,31336289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14330173, s2 = 9551841, dlinesl.size( ) = 2 s1 = 14330173, s2 = 9551841, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14330173, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9717877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9717877, s2 = 11659239, int(edited[s2]) = 0 s1 = 9717877, s2 = 11659239, d1 = 16, d2 = 17 Dl.O(d1) = 106049994,260971144,260246240,104987706,98169990,84274809 Dl.O(d2) = 141447891,141447890,154118594,165884913,176538656,185967069,194187288,194187290,185967073,176538660,165884917,154118599,141447893,141447892,141447894,128082780,114196268,114196267,128082777,114196266,100165891,86203461,72605797,59867740,59867741,72605798,72242008,59507391,48119888,38209454,29642804,22290935,16146562,11217446,7442946,4702784,4702785,7442949,7690868,4866912,4866913,4904767,2956256,1714165,973986,548341,306953,169809,169808,306950,548333,973969,1714127,2956203,4728933,2849135,1653046,1653047,2849139,4728939,7482938,7599754,4807723,4807724,254785887,16403593,11563752,7696440,4904645,4904646,4868937,4867224,4867223,7597092,5984946,4902449,2954789,1713408,1713406,2954785,4902444,4806738,2896974,1681021,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,6542551,7598488,7598490,7608555,4813438,2900817,1682939,1682943,2900776,2956627,4905483,6945495,6945497,7070172,10701617,15475366,16412689,22595855,255200084,38562520,48475979,46792737,46792738,37950360,29385809,29385808,29385805,22055820,22055821,29385807,37950358,256850006,37946388,29381420,22072126,22029519,15928376,15928375,22029518,29359896,23287342,17028264,13991636,13991637,13991647,13991645,19540377,26259509,31436275,23945385,22040852,15938284,255071551,7336817,4634448,2791731,1619508,921105,921106,1619509,2791733,4634452,7336828,11065237,11065235,15945618,18925572,25537374,25540716,255584368,254868412,23115563,255194646,33296048,25534423,18923199,13490371,13490374,18923208,25534436,25535731,30651765,30651766,39247521,33297397,25535562,19650072,14084633,9688092,6372724,6372726,9688096,9692862,14092531,19660494,268230122,255808391,15160069,10454930,6891624,6891625,10454933,15160075,21104968,26394758,34270571,43369667,53893499,65960079,79323769,258776636,122300063,136276780,136276784,122300067,107883964,93454843,93454844 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6969544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8367965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8367965, s2 = 11536008, int(edited[s2]) = 0 s1 = 8367965, s2 = 11536008, d1 = 80, d2 = 74 Dl.O(d1) = 37048645,257597573,30660799,23242696,16975180,16975179,23242694,30660795,39256533,49182182,58344159,67767509,71049924,257672946,55336802,55336801,46975029,42010234,42010235,268447184,37092101,254869104,17767988,17767989,13356070,256634209,257778163,257675061 Dl.O(d2) = 267025178,274880489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8367965, s2 = 11536008, dlinesl.size( ) = 60 s1 = 3755084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7676155, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10225681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8260977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8753556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165002, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8281388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3758030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3518072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6855454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3758346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9467394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3518437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3518437, s2 = 6706138, int(edited[s2]) = 0 s1 = 3518437, s2 = 6706138, d1 = 14, d2 = 59 Dl.O(d1) = 116500780 Dl.O(d2) = 257554584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3518437, s2 = 6706138, dlinesl.size( ) = 50 s1 = 7105167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7105167, s2 = 11548072, int(edited[s2]) = 0 s1 = 7105167, s2 = 11548072, d1 = 78, d2 = 82 Dl.O(d1) = 262647596 Dl.O(d2) = 266004876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7105167, s2 = 11548072, dlinesl.size( ) = 20 s1 = 6877758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6877758, s2 = 11738113, int(edited[s2]) = 0 s1 = 6877758, s2 = 11738113, d1 = 7, d2 = 5 Dl.O(d1) = 259542603 Dl.O(d2) = 130374775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6877758, s2 = 11738113, dlinesl.size( ) = 2 s1 = 6877758, s2 = 11738113, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6877758, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 13745233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9212298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9212298, s2 = 14092723, int(edited[s2]) = 0 s1 = 9212298, s2 = 14092723, d1 = 1, d2 = 1 Dl.O(d1) = 257690423,50566481,62059061,58451579,47074579,41980397,257186183,64172850,77321803,91242361,105465216,119704791,133579532,146837233,272980709,170548393,180679881,178273105,167834969,156245298,261837100,130392453,116552722,259510760,74817325,257655454,24284233,256555715,36512285,255362672 Dl.O(d2) = 257690423,50566481,62059061,58451579,47074579,41980397,257186183,64172850,77321803,91242361,105465216,119704791,133579532,146837233,272980709,170548393,180679881,178273105,167834969,156245298,261837100,130392453,116552722,259510760,74817325,257655454,24284233,256555715,36512285,255362672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9212298, s2 = 14092723, dlinesl.size( ) = 2 s1 = 9212298, s2 = 14092723, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9212298, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 3520915, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8511740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13623523, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9172932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3521366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6878084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3761507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3761507, s2 = 8590037, int(edited[s2]) = 0 s1 = 3761507, s2 = 8590037, d1 = 0, d2 = 13 Dl.O(d1) = 130435208 Dl.O(d2) = 167870783,156286833,156286834,167870779,167870780,156286827,156286828,272279107,116593000,116592999,261329263,156286831,261329265,102491121,258921723,62050506,62050505,74848682,88484397,260161267,130435201,143761978,156286835,167870782,156286841,143761983,130435207,116593001,102491121,258921723,62050506,62050505,74848683,88484400,88484402,74848685,74848686,259546811,116593004,130435210,143761974,156286828,272279107,116593000,116592999,130435204,143761976,261329265,102491121,258921723,62050506,62050505,74848682,88484397,260161267,130435201,143761977,273137316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3761507, s2 = 8590037, dlinesl.size( ) = 14 s1 = 9501249, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9562964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3521848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3762008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8702684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3979428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353030, s2 = 7682613, int(edited[s2]) = 0 s1 = 10353030, s2 = 7682613, d1 = 31, d2 = 36 Dl.O(d1) = 258302065 Dl.O(d2) = 272406074 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7682614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7682614, s2 = 10353031, int(edited[s2]) = 0 s1 = 7682614, s2 = 10353031, d1 = 37, d2 = 32 Dl.O(d1) = 272406075 Dl.O(d2) = 258302064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3762812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7650616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8094777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9508034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9508034, s2 = 4412412, int(edited[s2]) = 0 s1 = 9508034, s2 = 4412412, d1 = 50, d2 = 55 Dl.O(d1) = 178376236,167955997,156383942,143867805,130549643 Dl.O(d2) = 162532351,173565165,183361537,178376237,167955997,156383943,143867805,130549642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 9515258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9192043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6927825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6927825, s2 = 10245175, int(edited[s2]) = 0 s1 = 6927825, s2 = 10245175, d1 = 46, d2 = 76 Dl.O(d1) = 260196745,130600003 Dl.O(d2) = 263486242,270285312,51903610,41603773,32700931,25017449,18487596,13134231,10516463,6935295,4357949,2610978,1507314,854637,854633,1507298,2610940,254494205,10516217,15243649,21210263,24852206,18355904,13032514,8875031,8875032,13032517,18355906,21210858,21210857,28435286,36934043,28435277,28435186,21210777,21210775,28435182,28434931,28434932,36933686,46811932,36933560,28434783,21210491,21210492,24852222,18355919,13032526,13032527,18355923,24852227,32494140,41341618,41341626,38199760,29632983,22280895,22280896,29632977,26640168,26640166,34630245,34630471,43902879,37506625,29633005,22280908,22280907,29633002,33344487,33344485,42325577,38199672,38199674,47414216,47414213,58801139,66903011,54645897,54645817,256917758,59230745,47833007,43903053,34630449,26640318,26640319,34630149,26640118,19828008,19828009,26640126,34630161,34630171,43902715,54645876,54646115,46811786,40215639,31529656,24027412,17676800,12500467,12500468,17676803,24027419,31529668,40215659,40215573,40215572,46826129,38856355,38856356,48776409,60170883,70904782,63710283,63710282,59467408,58427855,47053266,47053265,50235933,257860221,58192078,58192077,70904799,72485558,70893444,70893446,59649724,59649723,52304515,52304516,53532539,53532540,50057177,50057176,59649668,59649669,50058255,50058257,40038959,38351773,31357815,31357812,40037719,47398713,37490276,37490277,29891304,22536541,16362325,11386708,7564888,7564887,11386703,16362317,22536497,29779279,29779302,22414282,22414256,22414255,29779260,38351665,38351609,29779226,29779227,38351612,48262609,38368924,255565748,268112042,22414259,22963097,29779236,22414240,16249602,11297193,254777938,22414235,29779231,29779245,22414246,22414247,29779246,38112460,29549616,22205925,16075807,255455709,254850936,40037795,40037797,31357871,23864000,268112028,12355566,256017763,30771333,258837079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7180994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7180994, s2 = 13205793, int(edited[s2]) = 0 s1 = 7180994, s2 = 13205793, d1 = 238, d2 = 213 Dl.O(d1) = 263655784,261336712,271889469,116782499,102689263 Dl.O(d2) = 9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136753,9441255,9441259,13771612,17346858,12220011,8250181,8250182,267851514,13247792,9036830,9036827,13247788,18633391,18307135,18307134,24789874,32415356,41241107,37668963,37335534,28797906,28797905,28797924,28797921,267925254,10732461,7091122,7091124,9047144,9047143,13259357,13259569,9047297,9047298,13259571,18647790,25212983,32928567,25212547,21532055,21532054,16758397,16758399,22997657,28797888,28797889,268015736,21536675,17346851,12220007,12220006,17346850,21532062,15518115,10732434,10732433,15518113,21532061,21566079,21566080,18647785,18647786,15518133,10732445,7091111,7091112,10732448,11304967,7505560,7505559,11304964,10734800,7092618,7092617,10734798,15518144,15517966,255410545,12245029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8317663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10203535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 968006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 968006, s2 = 9261702, int(edited[s2]) = 0 s1 = 968006, s2 = 9261702, d1 = 30, d2 = 33 Dl.O(d1) = 24491118,257707501,75470511,89222475,103316981,272944106,156903318,168365302,178689136,187808901,195759681,202567699,208289365,208237076,202503008,195678235,187701092,178548825,262855662,261345474,147181029 Dl.O(d2) = 91648854,105856853,261443645,271994943,147137597,159499413,170830404,263350825,197494181,204015506,264876029,213920021,265096257,223245886,223245887,265559426,216001833,212005301,264210606,263141238,262224024,261159558,114131607,128021088,140850214,140850213,153528201,154064318,271797484,114131606,261131396,260553910,88262176,74631764,61839499,50355206,40327968,31638327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 968006, s2 = 9261702, dlinesl.size( ) = 2 s1 = 968006, s2 = 9261702, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 968006, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 3525586, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6879085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6879085, s2 = 8656799, int(edited[s2]) = 0 s1 = 6879085, s2 = 8656799, d1 = 1, d2 = 3 Dl.O(d1) = 259568171 Dl.O(d2) = 178636978,168300833,156831990,156831989,168300830,178636980,187770912,264004977,208275306,212997353,216857522,212997357,208275310,202548987,195733758,187770915,178636982,178636981,187770914,264004979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6879085, s2 = 8656799, dlinesl.size( ) = 2 s1 = 6879085, s2 = 8656799, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6879085, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 3765829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8463250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659012, s2 = 7053237, int(edited[s2]) = 0 s1 = 11659012, s2 = 7053237, d1 = 12, d2 = 18 Dl.O(d1) = 38885418,43046738,43046739,53526439,57804478,62608997,50986657,40851819,32079867,32079868,40851822,50986659,47878711,37960779,37960778,42145453,33186088,33186089,42145454,48807788,42871851,33830666,26012658,26012657,33830663,42871846,53333057,50986632,50986630,53333053,53333054,60514420,73260415,269614038,89302911,103392527,117517488 Dl.O(d2) = 261894123,261270414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3767001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7894383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658848, s2 = 11011975, int(edited[s2]) = 0 s1 = 11658848, s2 = 11011975, d1 = 4, d2 = 1 Dl.O(d1) = 3359179,5463125,8455773,8455775,8455776,12484811,17655471,23999663,31497089,40181801,48910280,41443507,257158451,51693759,51693762,51693761,61687461,74470525,76491163,76491164,76491160,76491159,90320398,90320400,90320399,104468168,91417539,77486743,77486744,91417540,105643676,105643681,91417546,77486748,77486749,77486759,77486758,91417555,105643684,119882426,133752732,147002860,147002863,133752738,119882429,105643687,91417552,77486754,77486755,91417553,105643689,119882431,133752741,138969052,260733166,146850348,138969061,133592341,119717550,119717549,119717548,112561310,98568220,84645621,71083355,58367155,58367156,71083357,84645622,84645619,71083353,58367154,46996945,46996944,58367152,71083349,84015705,97884469,84015709,258275206,46426722,46426721,57781707,70481864,71083347,84645611,84645612,97884467,111816730,97884470,97884471,111816734,101628843,101628844,115669825,129556167,142874772,129556173,129556174,142874776,148925371,161237693,167095039,156938427,156938426,156938423,144540303,131319323,131319324,144540304,131319337,117523741,117523740,117523717,117523718,103399274,89310085,75554605,62617689,50996440,40862589,40862588,40862586,40862587,50996437,62617682,75554592,89310061,89310062,103399244,103399265,103399264,117523735,131319334,144540315,150417894,261571246,144540295,131319309,123646014,109453567,109453566,104955115,104955116,119151023,132985807,119151033,104955122,104955121,119151032,105471014,91248777,91248776,105471013,105470908,105470906,91248657,77328922,77328921,91248655,105470903,260261821,91248718,91248717,260261819,133584717,136174451,122211589,122211590,136174452,260725646,259514290,77329113,77329114,91248860,105471071,119710390,131039704,117241561,103125402,103125395,89054573,257478400,256356970,40736213,256898808,50842185,40736212,40736211,50842183,40736218,31987324,24432190,255031646,268123123 Dl.O(d2) = 2246721,3751779,5999081,9165699,13406121,18817725,268215374,256356974,52455587,42103048,255428344,18817721,13406119,13406120,18817722,25408312,33148832,42103059,52455602,64322830,77486774,258712006,119882436,133752744,147002866,133752745,133752746,138969059,125630902,125630901,133752750,147002868,159385827,147002864,133752739,119882429,105643687,105643686,119882428,133752737,125630895,125630893,111816713,111816714,119882432,119882431,125630892,111816712,97884452,84015693,84015692,84015694,97884454,111816716,111816727,259258091,70481861,57781706,57781705,70481860,84015700,97884462,259877057,97884456,97884455,111816718,260733168,133592335,133592334,260516162,105478186,105478185,112561320,112561319,111816732,97884468,97884469,84015709,258275206,46426722,46426721,57781707,70481864,71083346,84645609,87661361,101628844,115669825,129556168,129556172,115669833,115669832,129556165,129556164,142874769,155456542,167095039,156938427,144540307,131319325,117523726,117523727,259808450,144540316,131319337,131319321,117523723,117523722,131319319,144540298,131319336,259182222,103399270,117523719,103399252,89310067,75554594,75554593,270154492,117523713,128430593,141784507,150417894,261571246,137377521,123646009,109453560,95199084,81142333,67676529,67676528,81142330,95199080,109453554,119151028,113901752,113901751,271170280,91248777,91248776,99883518,85928450,85928451,99883520,113901756,127776783,141134120,153807968,154213039,146842064,133584643,119710217,105470891,91248647,77328911,64181584,52331294,52331293,64181583,77328909,91248643,102161849,91248645,91248644,77328984,64181644,52331345,41991771,33048284,33048285,41991772,52331348,64181648,77328989,91248740,105470992,119710320,133584737,130133782,271814520,156003757,143464772,143464771,156003778,159215034,157697535,157697534,169139656,178076474,169139655,259405248,132049893,132049892,145286622,156003760,143464755,130133785,118230209,104071283,89941947,89941948,102161848,89941951,76135992,76135993,256966216,89941945,87126880,87126881,101124957,87126883,73508038,73508039,76135988,89941946,101124960,87126885,87126884,101124959,89941942,76135984,76135985,89941944,257546956,87126899,73508053,73508052,87126898,101124969,115202711,129134268,142511523,129546136,115659882,101619169,87652331,87652332,101619170,112309551,112309543,98326407,84416741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658848, s2 = 11011975, dlinesl.size( ) = 2 s1 = 11658848, s2 = 11011975, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11658848, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14164114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164114, s2 = 3528157, int(edited[s2]) = 0 s1 = 14164114, s2 = 3528157, d1 = 3, d2 = 1 Dl.O(d1) = 170773902,180905388,189794379,197458996,203984479 Dl.O(d2) = 117543836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164114, s2 = 3528157, dlinesl.size( ) = 2 s1 = 14164114, s2 = 3528157, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14164114, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 13726437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9192339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13653431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164670, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3769156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10207513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8264239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9113093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9113093, s2 = 10856998, int(edited[s2]) = 0 s1 = 9113093, s2 = 10856998, d1 = 35, d2 = 33 Dl.O(d1) = 255801801,36705734,256067971,18117899,12847195,12847194,12685220,8616391,8616393,5687717,3538246,2106207,1212936,1212938,2106215,2106223,2106222,3538274,5687756,8736562,12847333,18118096,18117374,18117375,18120833,18120832,24554611,18117386,18117387,18674612,25244803,23826184,23826183,24558983,18120639,18120640,24554872,25245465,25245466,32967445,40916677,36648178,28172589,23826553,254999090,38013650,255970300,38013393,29451565,29451564,30880113,39485735,40917837,39203310,39203311,49130164,58816455,58816454,48512968,38598264,36922071,28423672,24555885,18118339,12847473,12847474,18118342,24555890,256012166,19807529,14188011,14188012,19807531,26616394,34603937,31287812,31287811,256300926,23727166,28978500,21695724,21695723,28978498,37522485,40196466,48722812,38801759,30217623,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,18137400,18137401,24580294,32165607,40944587,51087097,62718284,259580243 Dl.O(d2) = 71180176,84748990,259255460,71180171,71180170,58458004,47079936,257444435,258679441,71180177,258148017,269816137,72497150,86094185,84748982,269763758,47079934,37184761,37184762,47079935,58458002,256958707,29919333,29919334,256958709,48380874,38478702,38478701,270815892,255918899,22560537,29919346,38478703,29919338,29919339,29919323,29919324,38478688,257538975,48380882,268641055,11401003,7575589,4791375,4791376,255098867,22560529,22560532,16381578,16381577,255918893,16381573,11400997,11400996,16381571,11401006,7575591,4791377,2888148,1676279,1676278,254358967,7575587,11401001,16381580,22560536,29919344,29919331,29919330,38478697,256416213,268228785,16381574,268408051,22560533,22560534,256416217,22560526,22560525,29919329,38478696,48380868,48380869,258148015,86094183,86094163,86094164,100056247,114082453,100056234,86094151,269816135,29919325,29919326,38478693,48380862,59763457,72497136,86094158,100056241,260015001,86094146,72497124,59763448,59763447,72497122,259396991,114082451,100056237,100056236,100056238,114082458,114082461,114082444,100056228,86094144,86094143,100056227,261192153,127962572,127962570,141322064,153992475,165764054,272564473,141322067,262253757,141322066,127962557,127962549,127962550,141322058,141322062,141322063,153992474,165764052,263166653,165764050,153992472,273588308,262253755,176424632,272915322,176424642,165764055,165764056,176424644,178278434,262376188,165764048,176424639,175102460,164301496,152427139,139701509,139701510,128446700,128446696,114562917,100532466,100532467,114562919,114562922,258298720,258919572,58269771,46904171,37026674,28528677,28528676,37026672,46904168,269777199,84547641,98469807,256557722,60236617,48842239,38921554,38921553,268265042,72973603,86571497,72973605,72973606,86571502,100532461,114562914,128446694,141799789,260161146,139701496,152427123,139701500,139701501,271882388,272527577,273098073,152427131,152427132,163560730,151680245,258993928,138975840,138975842,138975841,151680256,163560736,151680252,259621098,163560733,151680248,138975833,257752920,111822901,111822911,97890251,97890250,111822910,125637660,125637663,138975838,125637655,111822903,97890243,84021035,84021036,97890244,97890249,97890248,111822909,111822914,97890252,84021041,257164648,125637661,138975844,151680242,259621096,138975825,125637651,257164646,97890241,257752918,138975828,151680243,151680239,259621092,138975821,258993922,138975826,258993924,163560727,272356194,262903360,158647291,170006089,180172938,174403081,163560722,163560723,271968684,261403176,170006092,261948667,133050968,260247647,90847103,90847102,105027183,119220423,272362699,146278690,158647287,262903364,189115507,262441366,170006086,261403174,146278689,262449003,262910407,158410519,158410520,169784880,169784882,158410522,158410523,169784883,170006084,158647286,273711902,170006080,170006079,180172929,189115500,188935856,179971857,179971856,263326681,188935854,196701981,189115502,189115503,189115505,180172933,180172932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9113093, s2 = 10856998, dlinesl.size( ) = 26 s1 = 4360338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4360338, s2 = 12491807, int(edited[s2]) = 0 s1 = 4360338, s2 = 12491807, d1 = 17, d2 = 18 Dl.O(d1) = 168546746,157098245,144696880,131470861 Dl.O(d2) = 256420993,48447056,258153317,51095488,256580579,24586647,256580581,22754268,255110685,7670002,7670003,268092493,268413309,30140076,256977201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4360338, s2 = 12491807, dlinesl.size( ) = 2 s1 = 4360338, s2 = 12491807, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4360338, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 6722555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6722555, s2 = 11290812, int(edited[s2]) = 0 s1 = 6722555, s2 = 11290812, d1 = 23, d2 = 21 Dl.O(d1) = 257717270,259581094,260196551 Dl.O(d2) = 262454514,261417912,145055233,145055234,131795684,271024248,89713859,75934614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6722555, s2 = 11290812, dlinesl.size( ) = 2 s1 = 6722555, s2 = 11290812, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6722555, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 3531409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9698597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9698597, s2 = 8428796, int(edited[s2]) = 0 s1 = 9698597, s2 = 8428796, d1 = 16, d2 = 8 Dl.O(d1) = 54701288,43957193,34682083,26687856,19868834,14235370,14235369,19868833,26687855,33031928,33031927,30917358,23480422,17197353,17197355,21698347,18184488,18184486,24640586,32238526,255861876,75801692,89584108,103699933,117854359 Dl.O(d2) = 174693693,163875870,152007549,258418332,112118024,98158827,84265125,70713923,57997356,46621239,36733110,36733111,31079341,28223310,21027801,15103448,10417208,10417206,6867287,6867286,10417224,15103482,16487519,22687387,30046214,22670924,16475099,11479001,7634765,7634766,11479004,16475106,22670941,30046235,38620021,255151378,48429624,43049204,43049205,47209709,37303044,28769656,21508742,19612782,19612781,26341525,34215209,43313093,37308083,37308082,31553267,28769661,23816775,17481844,17481845,23816777,19610229,19610231,26338146,34211972,43310249,47209406,37302643,28769279,28769277,34666686,34666687,43940825,49083511,49083510,58599627,71331915,84904488,98830646,257265500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9698597, s2 = 8428796, dlinesl.size( ) = 8 s1 = 3048229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3987937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9622559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9622559, s2 = 14195877, int(edited[s2]) = 0 s1 = 9622559, s2 = 14195877, d1 = 0, d2 = 0 Dl.O(d1) = 239407480,238797908,266447202,237406476,236605749,235727644,234762171,233702420,232536938,231246761,229808364,228188613,226344389,224227496,221785514,218937921,215563554,211480463,206484154,200440199,193284018,184946192,175397418,164635915,152798283,140105137,258874604,112902968,98914950,84989532,71415642,58681875,47290794,256009346,268678060,50094150,40073254,31391643,31391642,36848928,28351391,28351390,36848926,46731907,58103589,59394495,59394494,59476819,48086726,38174423,38174425,254816904,48327444,40168958,31483997,255186488,38850614,32107320,32107322,40880049,37824951,29259733,21938641,21938639,22870015,22870016,20939866,20939867,28116854,36589738,46291169,36438015,36438016,40160008,31475515,31475513,37371039,37371040,38744207,31474112,31474113,31474108,31474109,38419025,38304283,38304282,40167894,31483029,31483028,38304315,30266793,29458799,22124576,22124575,29458794,29851396,38418987,29851008,29851009,38304920,29851873,29851878,36739410,37795311,37795313,46789958,36912326,28414657,21192898,15229565,15229564,21192896,22485903,22485902,21186284,21186283,28407508,36904841,38304805,29736900,29736272,22378384,16222009,16222007,22378381,29736267,22486826,16314344,16314343,22486824,29736995,22378945,16764738,11717324,7818718,7818717,11717323,12144854,9142098,254442925,2239557,1298706,741175,741174,1298703,2239549,2239195,2239196,3740235,5981386,9140365,8011632,5100303,5100302,8011626,11967974,9138690,5980299,3739605,3739603,5980292,9138676,13371207,17292479,17292478,17620070,17620071,17650866,254861635,5458983,254602157,12479968,17650869,21605966,15577432,15577431,17644606,23987123,23968760,17644892,254860669,5452556,5452555,8443581,12473940,12481343,8452279,5459995,5459994,8452276,12478605,8451906,5459720,5459719,8451901,8422303,8422304,5449771,3350179,3350180,5449775,8422128,8422133,12453811,17631997,23968734,17644951,12475363,12471120,8440284,5449818,3350213,1969667,1969664,1969634,1124675,630767,630769,1124684,1969650,3350175,5449764,8423511,8440321,5449849,5449848,8408059,8424357,12456087,12477250,8447505,5455915,3354172,1971821,1971820,3339015,5431777,8416600,12442902,12442901,12473664,12473663,12448382,12448381,12472014,17632361,12454375,8422707,5436412,5436413,8406597,5424646,5424647,8406599,8406593,5445937,5445938,8427662,5440165,3344269,3344273,5440178,8423461,5436971,5436968,8417877,5454705,5434040,3340505,3340506,1969847,1969849,3350559,5450375,8406223,12437636,8432751,8432752,8422377,8422376,12454057,12441064,12441065,12441061,8409381,8409380,5446773,3348434,3348435,3351647,5452024,8442920,12473431,12479574,17650629,255576005,12472866,12472867,12442318,8410712,8410713,8448013,8448014,12477646,12441434,8409757,8409756,8417992,8428407,5440728,3344608,3344607,5440726,5440780,3344659,1966715,1966714,3344664,5426618,5437686,3350809,1969975,1124845,1124843,1969967,3350791,5450734,5424304,5424301,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8411165,8411167,11023046,15900552,11023033,11023032,15900550,255185293,5441937,3345395,3345397,267911845,12461070,12458457,8428396,5440713,267911773,5428048,3336840,254298189,1298193,1298194,2238677,1964822,1964823,3341278,5424546,8406434,5450503,3350651,3350650,5450501,5450338,3350516,3350517,3343648,3343647,5435908,5435909,8422075,12453750,12456915,8425213,8416400,5431628,5431629,5046618,5046619,5046665,5046664,5438786,5438790,3348013,3348012,5446095,5440681,3344573,1966664,1966662,3344569,3341252,1964809,1964811,3341257,5435187,8412475,5437057,5437055,8423612,254601713,5455116,8446442,12476164,12457722,12457723,8444656,8444657,12473399,12473400,17627914,12456559,8424824,8424823,12456558,267999993,5432119,3339242,1963690,1963689,3339240,1970009,1124852,1124850,1969997,3337241,1962611,1122629,629773,629774,1122636,1965602,3342772,3352234,5452959,8443876,5452815,3352135,3352136,254601435,268115027,255586215,17784190,24151441,26222376,29350417,29350416,34083281,268396184,13963753,9587713,6293596,3942050,3942049,267939861,13963739,19508338,26222621,34083235,43166187,34082985,26222443,26222442,34082984,43166185,43166181,34082977,34082976,43166179,43166467,256815355,36539983,46401004,255643386,39786134,43166333,53676519,53676552,46401006,36539984,36539985,46401007,46401003,46401002,57752035,65732772,65732525,53676597,49395994,43166652,43166653,37927565,29361112,29361111,256919003,37927561,37927560,47565445,47565444,53676437,53676436,60245932,60245931,59243744,47847083,47847082,47847428,256015832,40270156,40270155,50291395,61771171,65732580,65732579,74705535,71669733,71669732,257469544,50291377,47847345,37927496,37927495,47847128,37927288,37659359,37659361,47565466,37659354,37659356,30863673,268665111,40337024,40337025,47434026,47434027,268483944,47565421,47565423,49396122,49223139,39296113,255881046,37526313,37526314,47433945,47291881,47291882,47847121,58820507,58820506,47847029,37927198,37927197,37659240,29109429,21810505,21810504,29109427,37659237,29360843,22030262,15929020,11052207,7327766,7327769,7327783,4628671,4628670,7327798,11052261,15929118,15929117,19353328,19353329,23797472,17465159,15548883,10753989,7104827,7104826,10753985,15548876,21571475,28842900,37382729,255854604,21699990,28982390,30863680,30863681,39467651,31106990,23621887,17307332,17307333,23621888,31106991,254907022,31106906,31106907,39467646,31648388,31648389,40337037,40492297,31797312,24283375,24283374,21810500,21810501,23621882,23621884,268107162,22519862,16346492,16346494,21810495,21810496,29109416,37659218,37719013,29159121,21850742,268078345,10931231,15771366,10923909,7225718,7225717,10923908,15771365,21840949,29149034,37709331,47631615,59033842,71776390,85366178,99311100,113314609,127174230,140520932,153203676,165022569,157489499,157489500,145053608,131793722,117964989,103817551,89711620,75932396,75932397,89711623,103817558,117964996,131793728,145053611,131793725,121796463,107414276,107414277,121796465,126160000,121796462,107414274,107414275,98316835,84406989,70849365,70849364,65562164,65562165,257683258,48689202,38767359,30183766,22794092,16577594,11558306,11558307,16577596,22794095,30183770,35063868,35063867,40479445,40479444,50514495,50988786,48095806,38184163,35009002,26927362,20041891,268336357,35009004,44386419,36806473,28309592,26927209,26927207,35008825,31785143,31785142,35063788,40853844,50988724,55236083,55236372,44386709,35009331,26927657,26927658,35009335,31397547,31397545,40078654,41612007,41612008,35063822,26980442,26927738,20042156,20042155,26927734,35009401,32708144,32708145,41612180,50099432,40078644,31397539,31397538,40078643,47770640,47770641,59169490,55282616,44438498,35064381,35064383,44438501,37715270,29154654,21845908,21845909,29154657,37715276,47637658,59039627,71574120,71574121,71574180,59169504,47770648,37847701,29280071,29280073,37847705,44477378,37554266,29008356,29008355,37554263,37554459,30249555,30249557,38833173,37554354,29008412,21722151,21722152,29008418,33425372,42416030,47461674,44477438,35100439,35100438,44477436,47462402,47462401,46647257,36761556,36761555,31805240,31805239,40500509,40500511,40500510,47167787,47167786,58556704,55225103,55225104,64088810,71573784,58847000,52241402,41904287,32965130,25243320,18673374,13281389,13281391,18673382,25243326,32965139,41904293,47462243,257472355,58847758,55236018,44386291,44386290,47462268,50278875,50278874,50278901,40257861,40257860,43057713,33998831,26156981,26156980,31055275,31055274,26156983,19457763,13925001,9557996,9557995,11305071,16260295,21172860,255384655,10494458,6920099,4347364,4347365,254722165,6920102,10494462,6920101,4347366,4347367,2603667,1502521,851709,267763605,851710,1502522 Dl.O(d2) = 239407480,238797908,266447202,237406476,236605749,235727644,234762171,233702420,232536938,231246761,229808364,228188613,226344389,224227496,221785514,218937921,215563554,211480463,206484154,200440199,193284018,184946192,175397418,164635915,152798283,140105137,258874604,112902968,98914950,84989532,71415642,58681875,47290794,256009346,268678060,50094150,40073254,31391643,31391642,36848928,28351391,28351390,36848926,46731907,58103589,59394495,59394494,59476819,48086726,38174423,38174425,254816904,48327444,40168958,31483997,255186488,38850614,32107320,32107322,40880049,37824951,29259733,21938641,21938639,22870015,22870016,20939866,20939867,28116854,36589738,46291169,36438015,36438016,40160008,31475515,31475513,37371039,37371040,38744207,31474112,31474113,31474108,31474109,38419025,38304283,38304282,40167894,31483029,31483028,38304315,30266793,29458799,22124576,22124575,29458794,29851396,38418987,29851008,29851009,38304920,29851873,29851878,36739410,37795311,37795313,46789958,36912326,28414657,21192898,15229565,15229564,21192896,22485903,22485902,21186284,21186283,28407508,36904841,38304805,29736900,29736272,22378384,16222009,16222007,22378381,29736267,22486826,16314344,16314343,22486824,29736995,22378945,16764738,11717324,7818718,7818717,11717323,12144854,9142098,254442925,2239557,1298706,741175,741174,1298703,2239549,2239195,2239196,3740235,5981386,9140365,8011632,5100303,5100302,8011626,11967974,9138690,5980299,3739605,3739603,5980292,9138676,13371207,17292479,17292478,17620070,17620071,17650866,254861635,5458983,254602157,12479968,17650869,21605966,15577432,15577431,17644606,23987123,23968760,17644892,254860669,5452556,5452555,8443581,12473940,12481343,8452279,5459995,5459994,8452276,12478605,8451906,5459720,5459719,8451901,8422303,8422304,5449771,3350179,3350180,5449775,8422128,8422133,12453811,17631997,23968734,17644951,12475363,12471120,8440284,5449818,3350213,1969667,1969664,1969634,1124675,630767,630769,1124684,1969650,3350175,5449764,8423511,8440321,5449849,5449848,8408059,8424357,12456087,12477250,8447505,5455915,3354172,1971821,1971820,3339015,5431777,8416600,12442902,12442901,12473664,12473663,12448382,12448381,12472014,17632361,12454375,8422707,5436412,5436413,8406597,5424646,5424647,8406599,8406593,5445937,5445938,8427662,5440165,3344269,3344273,5440178,8423461,5436971,5436968,8417877,5454705,5434040,3340505,3340506,1969847,1969849,3350559,5450375,8406223,12437636,8432751,8432752,8422377,8422376,12454057,12441064,12441065,12441061,8409381,8409380,5446773,3348434,3348435,3351647,5452024,8442920,12473431,12479574,17650629,255576005,12472866,12472867,12442318,8410712,8410713,8448013,8448014,12477646,12441434,8409757,8409756,8417992,8428407,5440728,3344608,3344607,5440726,5440780,3344659,1966715,1966714,3344664,5426618,5437686,3350809,1969975,1124845,1124843,1969967,3350791,5450734,5424304,5424301,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8411165,8411167,11023046,15900552,11023033,11023032,15900550,255185293,5441937,3345395,3345397,267911845,12461070,12458457,8428396,5440713,267911773,5428048,3336840,254298189,1298193,1298194,2238677,1964822,1964823,3341278,5424546,8406434,5450503,3350651,3350650,5450501,5450338,3350516,3350517,3343648,3343647,5435908,5435909,8422075,12453750,12456915,8425213,8416400,5431628,5431629,5046618,5046619,5046665,5046664,5438786,5438790,3348013,3348012,5446095,5440681,3344573,1966664,1966662,3344569,3341252,1964809,1964811,3341257,5435187,8412475,5437057,5437055,8423612,254601713,5455116,8446442,12476164,12457722,12457723,8444656,8444657,12473399,12473400,17627914,12456559,8424824,8424823,12456558,267999993,5432119,3339242,1963690,1963689,3339240,1970009,1124852,1124850,1969997,3337241,1962611,1122629,629773,629774,1122636,1965602,3342772,3352234,5452959,8443876,5452815,3352135,3352136,254601435,268115027,255586215,17784190,24151441,26222376,29350417,29350416,34083281,268396184,13963753,9587713,6293596,3942050,3942049,267939861,13963739,19508338,26222621,34083235,43166187,34082985,26222443,26222442,34082984,43166185,43166181,34082977,34082976,43166179,43166467,256815355,36539983,46401004,255643386,39786134,43166333,53676519,53676552,46401006,36539984,36539985,46401007,46401003,46401002,57752035,65732772,65732525,53676597,49395994,43166652,43166653,37927565,29361112,29361111,256919003,37927561,37927560,47565445,47565444,53676437,53676436,60245932,60245931,59243744,47847083,47847082,47847428,256015832,40270156,40270155,50291395,61771171,65732580,65732579,74705535,71669733,71669732,257469544,50291377,47847345,37927496,37927495,47847128,37927288,37659359,37659361,47565466,37659354,37659356,30863673,268665111,40337024,40337025,47434026,47434027,268483944,47565421,47565423,49396122,49223139,39296113,255881046,37526313,37526314,47433945,47291881,47291882,47847121,58820507,58820506,47847029,37927198,37927197,37659240,29109429,21810505,21810504,29109427,37659237,29360843,22030262,15929020,11052207,7327766,7327769,7327783,4628671,4628670,7327798,11052261,15929118,15929117,19353328,19353329,23797472,17465159,15548883,10753989,7104827,7104826,10753985,15548876,21571475,28842900,37382729,255854604,21699990,28982390,30863680,30863681,39467651,31106990,23621887,17307332,17307333,23621888,31106991,254907022,31106906,31106907,39467646,31648388,31648389,40337037,40492297,31797312,24283375,24283374,21810500,21810501,23621882,23621884,268107162,22519862,16346492,16346494,21810495,21810496,29109416,37659218,37719013,29159121,21850742,268078345,10931231,15771366,10923909,7225718,7225717,10923908,15771365,21840949,29149034,37709331,47631615,59033842,71776390,85366178,99311100,113314609,127174230,140520932,153203676,165022569,157489499,157489500,145053608,131793722,117964989,103817551,89711620,75932396,75932397,89711623,103817558,117964996,131793728,145053611,131793725,121796463,107414276,107414277,121796465,126160000,121796462,107414274,107414275,98316835,84406989,70849365,70849364,65562164,65562165,257683258,48689202,38767359,30183766,22794092,16577594,11558306,11558307,16577596,22794095,30183770,35063868,35063867,40479445,40479444,50514495,50988786,48095806,38184163,35009002,26927362,20041891,268336357,35009004,44386419,36806473,28309592,26927209,26927207,35008825,31785143,31785142,35063788,40853844,50988724,55236083,55236372,44386709,35009331,26927657,26927658,35009335,31397547,31397545,40078654,41612007,41612008,35063822,26980442,26927738,20042156,20042155,26927734,35009401,32708144,32708145,41612180,50099432,40078644,31397539,31397538,40078643,47770640,47770641,59169490,55282616,44438498,35064381,35064383,44438501,37715270,29154654,21845908,21845909,29154657,37715276,47637658,59039627,71574120,71574121,71574180,59169504,47770648,37847701,29280071,29280073,37847705,44477378,37554266,29008356,29008355,37554263,37554459,30249555,30249557,38833173,37554354,29008412,21722151,21722152,29008418,33425372,42416030,47461674,44477438,35100439,35100438,44477436,47462402,47462401,46647257,36761556,36761555,31805240,31805239,40500509,40500511,40500510,47167787,47167786,58556704,55225103,55225104,64088810,71573784,58847000,52241402,41904287,32965130,25243320,18673374,13281389,13281391,18673382,25243326,32965139,41904293,47462243,257472355,58847758,55236018,44386291,44386290,47462268,50278875,50278874,50278901,40257861,40257860,43057713,33998831,26156981,26156980,31055275,31055274,26156983,19457763,13925001,9557996,9557995,11305071,16260295,21172860,255384655,10494458,6920099,4347364,4347365,254722165,6920102,10494462,6920101,4347366,4347367,2603667,1502521,851709,267763605,851710,1502522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9622559, s2 = 14195877, dlinesl.size( ) = 2 s1 = 9622559, s2 = 14195877, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9622559, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13778903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3772982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9456899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9456899, s2 = 16255938, int(edited[s2]) = 0 s1 = 9456899, s2 = 16255938, d1 = 9, d2 = 9 Dl.O(d1) = 149632134,273285327,185763812,176317742,165646332,263552807,176317735,165646331,153866682,141191527,127829381,113949746,99926685,259387735,72374253,258139245,48253032,48253031,59639961,72374252,85969066,260005843,261183309,153866681,165646330,176317740,175034848,175034849,184628999,186487152,177138042,166562171,154859446,142224421,128872459,114970139,105360904,105360905,119592817,115812917,115812916,270820324,143042109,129711511,115812920,101767192,87794851,74191288,61412414,49933985,39915866,39915867,49933986,47735819,37813579,36573842,255792963,255005325,6811718,4272405,2554437,1471437,1289151,825610,466191,466190,825606,1458302,2530561,4232476,2546667,2546668,4259899,6794118,4261091,4261093,6760027,4236262,4236259,6760021,6760467,4236546,4236547,4259560,4259559,6793676,6761214,4237082,2533286,1459809,826354,466554,262561,262562,466556,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2546726,1467874,1467876,2548072,3714994,2224609,1290357,1290360,2224619,3715005,5941120,5944567,3717263,2225904,2225905,2570829,2570828,4242902,2540166,2540164,4248874,6778476,9075772,13293625,14975521,14975520,14975372,10307740,10307739,14975370,20877255,21304314,267937134,4390421,4390422,6847834,5588983,3467373,3467374,5588985,8600861,10690248,7062351,4446478,4446479,7062355,10298987,10386958,10334257,6802022,4265693,4265691,6802011,8326519,8326516,5584509,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279107,2758624,1599215,909217,254163361,2758607,4585223,4272404,254485435,10346190,15018351,15018348,15018349,268373177,46438827,57794168,70495102,268731318,66847937,54589159,43844860,34573435,34573436,43844861,47227465,37318476,28782575,21519272,21519271,28782573,37318474,257454599,58620763,71358005,84934962,73172951,60426103,49022490,39093516,257004967,39093515,30497608,23084263,16831436,16831437,23084265,25073211,18530585,13166095,8974398,8974399,13166096,18530586,25073212,32770150,30494626,27108936,20208225,16826222,16826223,20160236,14462782,14462781,16827562,19233684,13741266,9414544,6168310,6168311,9414550,13741275,11096036,8640885,5619695,5619696,8640888,8640865,8640866,12717219,12717230,17946863,24336855,20170798,20170797,27065013,256750333,44527286,44522584,44522583,55368635,67708366,81173836,95229836,109483488,117243531,103127630,89057155,89057156,103127631,117243530,131041295,144278590,156703200,168192330,168989442,157526145,145091602,269992284,118005576,257200470,89757618,89757619,75978897,62996191,51317127,41133500,32319750,24705311,18234454,18234455,24705314,29716404,23414990,17139394,17139396,23414992,29390482,23155225,16893901,16893900,12045356,8097946,8097945,12045353,17139440,23415067,30845008,24705320,18234459,18234460,24705322,32319761,255665304,18234444,255621767,32319736,32319841,24705380,18234500,17139467,12045375,8097955,8097956,12045369,17139462,23415101,23415093,23415092,30844922,30844923,23415113,17139470,17139471,23415082,17139454,12045361,12045362,17139389,23414983,30844914,30845023,37955611,32319790,32319791,39449222,30845004,23415064,22059844,15955544,11073132,11073131,15955542,17139363,12045309,12045298,12045296,12045360,8097948,254386965,1852875,1057471,1057472,1852879,3165187,5188039,8097963,12045386,17139422,17139421,23415039,23415110,23415111,23415028,23415027,23414933,17139353,17139355,23414938,30844863,23415023,23415022,30844958,30844856,23414926,268103643,12045301,17139349,23414920,17139335,12045293,12045294,17139340,23414924,30844851,39449123,49377426,39449117,39449116,47501009,39449154,39449155,39449213,30844968,23415025,23415026,30844970,37597117,37597116,257031489,49377443,49377510,47500934,37597136,29049336,21755568,15701374,10869390,10869391,15701376,21755572,29049343,29049366,29049337,29049339,30844935,23415003,268103645,12045326,17139399,23415001,30844931,37597126,255009522,28733193,28733194,37265470,37597133,29049331,21755565,15701372,10869389,7186527,7186526,10869387,15701369,21755562,15701385,10869394,10869393,15701383,21755587,29049361,37597160,39449101,39449102,39449196,49377502,53767988,255797816,47500986,39449099,39449098,31363589,23869219,23869220,31363591,40043800,49802807,39783665,31104779,23619828,23619829,21475622,21475621,28733196,37265475,30844949,29049372,29049371,37597124,37597123,46945330,37066228,28564543,21755551,15701361,15701363,21475624,21475623,28733199,37265483,37597112,47500989,269791813,256644934,71600800,71600795,63389593,51646855,41406124,37597091,37597090,39783658,256285558,20969537,20969536,256285571,46488487,256285564,37597074,29049293,21755540,15701356,15701357,21755542,29049297,37265486,29049301,21755545,21755546,29049304,29049316,37597103,29049314,29049313,37597102,47500981,39783656,39783655,40388221,31695349,31695350,40388223,48293503,48293449,38382698,29810521,29810520,30087488,256973529,59680510,59680525,59680526,72415721,72415685,59680476,59680477,256823668,62769688,58880492,47500958,37597077,37597078,47500960,51443245,59680535,51770669,48293457,46488478,36621860,36621859,46488475,38382751,38382752,48293492,59181415,47782207,38382771,38382770,48293509,258142509,269814253,258065100,51646836,51646837,51646846,41406116,41406115,38382691,32548059,32548060,29289522,29289521,29810542,22443736,22443734,29810540,255913737,16275111,11317001,7514391,7514392,255094667,22443730,29810506,24898799,22443732,22443731,29810535,38382717,32548078,24898833,18396177,13066584,8903834,268017225,18396173,24898829,32548073,41406044,51646758,51646843,41406111,32548051,24898812,24898813,32548054,41406114,51646845,63389584,63389512,51646778,41406066,32548016,24898781,20870244,20870237,14967851,10299974,10299977,14967857,20870250,24898810,18396161,13066572,13066573,18396162,24898794,24898797,256090545,257156307,51646805,63389545,63389573,51646831,51646793,41406073,41406074,32548045,32548044,41406099,51646776,51646775,46359533,36501495,28038245,20870235,20870234,28038243,24898788,24898787,32548026,41406080,51646799,63389532,76433133,70402693,57708690,46359515,36501486,36501487,46359518,41406097,32548043,24898806,18396158,18396159,24898808,32548046,36501511,256811341,57708732,57708712,257208518,70821798,58105251,58105250,59933504,48540906,38626193,38626194,48540908,59933509,63389539,63389540,70402708,57708704,46359524,36501491,28038239,20870232,20870233,28038241,256090547,24898803,32548018,41406068,51646785,58105254,46733894,36851299,36851298,46733891,58105247,63142627,70876691,63142612,51443232,51443233,51646811,63389553,76433157,77787909,77787910,65096383,53109483,53109482,52676329,52676330,64576448,60162656,48768334,38848589,38848588,48768332,60162653,72899440,77759039,64576396,257798459,52676265,257798461,52676321,64576433,77759074,91686193,260284125,261446155,147168849,159528158,170856570,180976577,189855520,197511806,204030930,209470063,264877177,274146349,223256432,225505723,265793777,229174685,230687043,232034689,233248700,234347912,235348037,266554853,266701475,239173616,239753938,240289845,240787371,241248764,241675792,242070523,242434141,242771742,242982566,242659166,242312499,241938159,241533135,241095414,240623782,240115078,239566391,238972571,238326873,237617433,236837277,235978818,235035612,233999347,232862075,231606152,230206487,228630319,226837730,224781838,222413125,219653275,216385551,212445158,207626695,263605320,263217584,177412161,263605325,194839846,263605322,207626696,212445160,216385547,216385546,216385552,219653276,222413126,224781840,226837731,228630321,265888072,274603134,235035616,235035613,235035614,235978820,236837279,237617435,238326874,238972573 Dl.O(d2) = 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29049304,29049316,37597103,29049314,29049313,37597102,47500981,39783656,39783655,40388221,31695349,31695350,40388223,48293503,48293449,38382698,29810521,29810520,30087488,256973529,59680510,59680525,59680526,72415721,72415685,59680476,59680477,256823668,62769688,58880492,47500958,37597077,37597078,47500960,51443245,59680535,51770669,48293457,46488478,36621860,36621859,46488475,38382751,38382752,48293492,59181415,47782207,38382771,38382770,48293509,258142509,269814253,258065100,51646836,51646837,51646846,41406116,41406115,38382691,32548059,32548060,29289522,29289521,29810542,22443736,22443734,29810540,255913737,16275111,11317001,7514391,7514392,255094667,22443730,29810506,24898799,22443732,22443731,29810535,38382717,32548078,24898833,18396177,13066584,8903834,268017225,18396173,24898829,32548073,41406044,51646758,51646843,41406111,32548051,24898812,24898813,32548054,41406114,51646845,63389584,63389512,51646778,41406066,32548016,24898781,20870244,20870237,14967851,10299974,10299977,14967857,20870250,24898810,18396161,13066572,13066573,18396162,24898794,24898797,256090545,257156307,51646805,63389545,63389573,51646831,51646793,41406073,41406074,32548045,32548044,41406099,51646776,51646775,46359533,36501495,28038245,20870235,20870234,28038243,24898788,24898787,32548026,41406080,51646799,63389532,76433133,70402693,57708690,46359515,36501486,36501487,46359518,41406097,32548043,24898806,18396158,18396159,24898808,32548046,36501511,256811341,57708732,57708712,257208518,70821798,58105251,58105250,59933504,48540906,38626193,38626194,48540908,59933509,63389539,63389540,70402708,57708704,46359524,36501491,28038239,20870232,20870233,28038241,256090547,24898803,32548018,41406068,51646785,58105254,46733894,36851299,36851298,46733891,58105247,63142627,70876691,63142612,51443232,51443233,51646811,63389553,76433157,77787909,77787910,65096383,53109483,53109482,52676329,52676330,64576448,60162656,48768334,38848589,38848588,48768332,60162653,72899440,77759039,64576396,257798459,52676265,257798461,52676321,64576433,77759074,91686193,260284125,261446155,147168849,159528158,170856570,180976577,189855520,197511806,204030930,209470063,264877177,274146349,223256432,225505723,265793777,229174685,230687043,232034689,233248700,234347912,235348037,266554853,266701475,239173616,239753938,240289845,240787371,241248764,241675792,242070523,242434141,242771742,242982566,242659166,242312499,241938159,241533135,241095414,240623782,240115078,239566391,238972571,238326873,237617433,236837277,235978818,235035612,233999347,232862075,231606152,230206487,228630319,226837730,224781838,222413125,219653275,216385551,212445158,207626695,263605320,263217584,177412161,263605325,194839846,263605322,207626696,212445160,216385547,216385546,216385552,219653276,222413126,224781840,226837731,228630321,265888072,274603134,235035616,235035613,235035614,235978820,236837279,237617435,238326874,238972573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9456899, s2 = 16255938, dlinesl.size( ) = 2 s1 = 9456899, s2 = 16255938, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9456899, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 8440783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8512378, s2 = 2672163, int(edited[s2]) = 0 s1 = 8512378, s2 = 2672163, d1 = 16, d2 = 4 Dl.O(d1) = 143917313,143917314 Dl.O(d2) = 75983544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8512378, s2 = 2672163, dlinesl.size( ) = 2 s1 = 8512378, s2 = 2672163, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8512378, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 7993793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9186644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7627978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7627978, s2 = 8490206, int(edited[s2]) = 0 s1 = 7627978, s2 = 8490206, d1 = 35, d2 = 51 Dl.O(d1) = 269940911 Dl.O(d2) = 272832334,271771010,112505561,98510406,84585436,268918860,268611511,10612634,7002926,4401485,2637862,1543369,876882,494623,494620,869620,490392,490393,491132,871036,1534903,2653876,4423060,6168413,6168412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7627978, s2 = 8490206, dlinesl.size( ) = 26 s1 = 9487753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9487753, s2 = 15305395, int(edited[s2]) = 0 s1 = 9487753, s2 = 15305395, d1 = 98, d2 = 95 Dl.O(d1) = 51112197,51112196,257309152,89455545,103554013,103554010,103554011,117689205,131495419,144722186,157122310 Dl.O(d2) = 265627938,226037617,265461562,274432894,226037625,226037626,265277916,221411874,265277918,215086076,265076864,210910546,263689572,192311576,264438563,215086076,274532438,226037618,265627940,226037618,265076862,264334420,205798508,199616557,192311570,183832611,263820537,264030188,212602832,207809052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9487753, s2 = 15305395, dlinesl.size( ) = 2 s1 = 9487753, s2 = 15305395, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9487753, Dl.E( ) = 102, 4.39e-05 seconds used appending s1 = 9705323, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3774367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3536087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3774671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9719032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3775052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7186310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9674906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674906, s2 = 8072274, int(edited[s2]) = 0 s1 = 9674906, s2 = 8072274, d1 = 1, d2 = 1 Dl.O(d1) = 64624945,64624946,77807436,259672671,84727460,71157535,58435683,47060268,37168511,28651342,257443119,52713399,256654798,33344992,42326204,42326333,33345104,33345105,42326335,42326322,42326321,52713533,56840666,69424094,77796440,77796441,91724283,91724285,105931822,257210914,105931837,91724296,77796453,74044041,61264059,49784958,39765390,31087051,31087052,39765392,49784960,61264062,257210926,91938651,106135331,91938662,258417900,106135337,91938720,78014481,78014482,91938694,106135365,106135333,91938723,78014486,64819532,268750426,42491036,52897809,64819533,78014489,91938726,97809094,97809093,111731061,100284230,100284231,100284219,86322111,72724721,72724722,79296352,70427325,70427324,83953761,97812759,111734818,114513766,100489804,97812775,83953785,70427343,57732835,46382761,36523147,36523148,46382764,258002771,83949872,72932523,72932522,86531056,83827195,72932487,60193110,48796324,48796325,48796330,38874021,30288269,22890356,22890355,27956516,20795050,14902514,10246445,10246444,14902510,20795043,27956508,36414616,46267278,50118650,61598305,74374485,87976210,101948248,113469274,270894640,72932506,72932505,86531036,97684713,111603094,114513761,270335268,72932502,60193120,60193121,257891300,48796340,60193127,48796345,38874032,30288277,30288272,30288271,38874025,48796333,257478129,47556515,58938417,71659890,85225396,97809082,99147917,97684710,258616713,57611730,57611731,70302206,270526994,77796319,85847230,72256023,59522304,48135208,38225078,29658880,29658881,38225080,48135209,59522307,72256024,85847232,95073215,91501791,91501790,105726316,95073217,95073218,109327899,119962019,105726312,91501787,77570742,77570741,91501783,105726309,119962017,125937054,112103869,98145140,84251540,70699824,70699823,74698248,84251533,258356456,57982103,57982104,70699811,57982117,46605162,36717056,28223949,21028271,21028270,28223947,36717053,46605156,57982107,70699814,70699817,61904594,50414054,50414053,57982110,57982109,269006263,24177043,24177044,31685666,40379464,50414079,61904622,61904620,50414075,50414076,61904621,61904623,74698255,88325948,74698228,61904596,61904595,74698225,88325945,102321598,112103844,112103843,125937020,139285923,151992870,140286485,126938748,258865590,102321608,116414008,126938747,113085652,100553179,86591364,72993549,60257730,256996843,38944917,38944934,30358728,30358727,38944932,48864693,48864710,60257773,60257761,60257762,60257770,60257769,72993595,72993599,86591400,72993588,72993587,72993593,60257768,60257767,72993591,86591405,100553203,260049511,128471277,134989297,141824517,141824516,132113982,118300913,118300912,132113980,118300915,118300914,132113964,132113965,132113942,118300882,104147658,90022925,76218743,63207736,63207737,63207729,51497443,51497444,63207730,76218735,76218746,63207741,51497456,41283040,41283041,51497458,63207740,63207739,63207738,76218720,63207714,51497431,41283024,257150871,63207717,76218723,90022928,90022929,90022966,76218765,76218717,76218715,76218761,76218762,259605169,118300930,118300929,132114003,132113986,118300918,118300887,104147684,90022952,76218753,259605167,90022962,104147691,118300931,132114004,134783212,147901676,160150700,165020392,165020390,269193078,127171461,268338566,85363299,71773786,59031400,59031399,71773785,85363298,99308108,99308112,85363301,255330560,99308116,113311641,113311639,99308114,99308115,113311640,256746844,153201168,165020396,165020393,165020394,175753226,175753228,175753227,185265887,193564811,200678338,206680394,211639761,215694146,219047535,221879877,224310896,226420398,228257338,226420402,224310899,221879880,219047538,215694150,211639764,206680398,200678340,200678339,206680396,211639763,262578508,263435746,213505632,208929250,203359277,203359278,208929251,213505623,208929238,203359265,196713381,188948736,188948737,196713383,203359268,208929242,208929248,203359273,203359264,203359263,263443996,202523598,195706340,187741272,187741271,187741270,178605228,168267251,168267250,168267249,156796216,144384490,260779199,117350691,103222358,89133913,259566545,117350689,117973633,103827195,89721777,75942584,62961035,51285538,41105544,32295077,32295078,24684119,18217641,18217642,24684120,32295081,257140221,62961038,75942587,89721781,103827201,257649834,105046702,105046703,117973644,115926137,101879865,256015388,74301708,61523606,61523605,255174456,61523599,50043821,40023721,31343847,31343846,40023720,254849728,19330433,268310103,33817637,42858934,33819388,33819387,42860615,53322751,65321370,78618909,90899589,77019781,63908156,52088997,41775287,32854530 Dl.O(d2) = 64624945,64624946,77807436,259672671,84727460,71157535,58435683,47060268,37168511,28651342,257443119,52713399,256654798,33344992,42326204,42326333,33345104,33345105,42326335,42326322,42326321,52713533,56840666,69424094,77796440,77796441,91724283,91724285,105931822,257210914,105931837,91724296,77796453,74044041,61264059,49784958,39765390,31087051,31087052,39765392,49784960,61264062,257210926,91938651,106135331,91938662,258417900,106135337,91938720,78014481,78014482,91938694,106135365,106135333,91938723,78014486,64819532,268750426,42491036,52897809,64819533,78014489,91938726,97809094,97809093,111731061,100284230,100284231,100284219,86322111,72724721,72724722,79296352,70427325,70427324,83953761,97812759,111734818,114513766,100489804,97812775,83953785,70427343,57732835,46382761,36523147,36523148,46382764,258002771,83949872,72932523,72932522,86531056,83827195,72932487,60193110,48796324,48796325,48796330,38874021,30288269,22890356,22890355,27956516,20795050,14902514,10246445,10246444,14902510,20795043,27956508,36414616,46267278,50118650,61598305,74374485,87976210,101948248,113469274,270894640,72932506,72932505,86531036,97684713,111603094,114513761,270335268,72932502,60193120,60193121,257891300,48796340,60193127,48796345,38874032,30288277,30288272,30288271,38874025,48796333,257478129,47556515,58938417,71659890,85225396,97809082,99147917,97684710,258616713,57611730,57611731,70302206,270526994,77796319,85847230,72256023,59522304,48135208,38225078,29658880,29658881,38225080,48135209,59522307,72256024,85847232,95073215,91501791,91501790,105726316,95073217,95073218,109327899,119962019,105726312,91501787,77570742,77570741,91501783,105726309,119962017,125937054,112103869,98145140,84251540,70699824,70699823,74698248,84251533,258356456,57982103,57982104,70699811,57982117,46605162,36717056,28223949,21028271,21028270,28223947,36717053,46605156,57982107,70699814,70699817,61904594,50414054,50414053,57982110,57982109,269006263,24177043,24177044,31685666,40379464,50414079,61904622,61904620,50414075,50414076,61904621,61904623,74698255,88325948,74698228,61904596,61904595,74698225,88325945,102321598,112103844,112103843,125937020,139285923,151992870,140286485,126938748,258865590,102321608,116414008,126938747,113085652,100553179,86591364,72993549,60257730,256996843,38944917,38944934,30358728,30358727,38944932,48864693,48864710,60257773,60257761,60257762,60257770,60257769,72993595,72993599,86591400,72993588,72993587,72993593,60257768,60257767,72993591,86591405,100553203,260049511,128471277,134989297,141824517,141824516,132113982,118300913,118300912,132113980,118300915,118300914,132113964,132113965,132113942,118300882,104147658,90022925,76218743,63207736,63207737,63207729,51497443,51497444,63207730,76218735,76218746,63207741,51497456,41283040,41283041,51497458,63207740,63207739,63207738,76218720,63207714,51497431,41283024,257150871,63207717,76218723,90022928,90022929,90022966,76218765,76218717,76218715,76218761,76218762,259605169,118300930,118300929,132114003,132113986,118300918,118300887,104147684,90022952,76218753,259605167,90022962,104147691,118300931,132114004,134783212,147901676,160150700,165020392,165020390,269193078,127171461,268338566,85363299,71773786,59031400,59031399,71773785,85363298,99308108,99308112,85363301,255330560,99308116,113311641,113311639,99308114,99308115,113311640,256746844,153201168,165020396,165020393,165020394,175753226,175753228,175753227,185265887,193564811,200678338,206680394,211639761,215694146,219047535,221879877,224310896,226420398,228257338,226420402,224310899,221879880,219047538,215694150,211639764,206680398,200678340,200678339,206680396,211639763,262578508,263435746,213505632,208929250,203359277,203359278,208929251,213505623,208929238,203359265,196713381,188948736,188948737,196713383,203359268,208929242,208929248,203359273,203359264,203359263,263443996,202523598,195706340,187741272,187741271,187741270,178605228,168267251,168267250,168267249,156796216,144384490,260779199,117350691,103222358,89133913,259566545,117350689,117973633,103827195,89721777,75942584,62961035,51285538,41105544,32295077,32295078,24684119,18217641,18217642,24684120,32295081,257140221,62961038,75942587,89721781,103827201,257649834,105046702,105046703,117973644,115926137,101879865,256015388,74301708,61523606,61523605,255174456,61523599,50043821,40023721,31343847,31343846,40023720,254849728,19330433,268310103,33817637,42858934,33819388,33819387,42860615,53322751,65321370,78618909,90899589,77019781,63908156,52088997,41775287,32854530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674906, s2 = 8072274, dlinesl.size( ) = 2 s1 = 9674906, s2 = 8072274, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9674906, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3776435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6615090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3539683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9736723, s2 = 11660185, int(edited[s2]) = 0 s1 = 9736723, s2 = 11660185, d1 = 6, d2 = 15 Dl.O(d1) = 25398906,25398903,25398902,33137011,42088914,41379371,257155203,258356567,76359906 Dl.O(d2) = 104339929,118523594,132363209,145609269,132437452,118597519,104412987,90260514,76429660,63385923,257156037,32545088,24896209,18394063,13064967,8902673,8902674,13064969,18116465,18116466,24553349,22145255,16026627,11835848,11835849,16912167,16026500,254765837,4662879,2809184,1629658,926654,926653,1629656,2809130,267829339,7380600,11127429,16026438,11127769,11127770,16026906,22145568,29483632,256926375,59350661,258739717,99618581,113632348,271797793,140860875,153537512,262224817,176022401,180974693,180974692,262455962,147166441,133943975,133943976,147166442,159525832,167911958,156332842,143810215,130485586,116646628,102547269,88540585,88540584,74902156,62098760,50600315,40559375,269011275,31857824,24335737,17945947,17945948,24335739,24213539,24213538,24218675,24218676,31725410,31857822,25925376,19263593,19263592,25925374,255478536,254783410,28835234,37375378,258693371,43349534,40490265,40490264,50525852,62017593,74813999,88446273,271421999,92678731,92678732,79306970,79306969,260357955,88446174,74813902,257686971,40490220,31795345,24281648,24281649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9736723, s2 = 11660185, dlinesl.size( ) = 2 s1 = 9736723, s2 = 11660185, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9736723, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 3540040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3540040, s2 = 8718671, int(edited[s2]) = 0 s1 = 3540040, s2 = 8718671, d1 = 16, d2 = 87 Dl.O(d1) = 118524037 Dl.O(d2) = 182807134,172908512,273280313,161750484,149457513,261451784,122238491,136204948,272758615,172908514,182807144,191459880,191459868,182807135,182807136,182807137,172908508,172908509,182807139,191459873,191459866,191459865,198905256,205206275,264405845,210421911,210421912,210421918,205206279,205206278,210421915,210421913,264366458,264111111,191459878,182807143,182807144,191459880,191459868,191459867,198905258,191459868,182807135,182807136,182807137,172908508,172908509,182807139,191459873,198905257,205206277,210421912,210421918,205206279,198905260,191459871,191459873,198905257,205206277,210421912,210421918,205206279,205206278,210421915,210421913,264637008,198905255,191459864,182807133,172908503,172908504,161750485,149457515,136204949,136204948,272758615,172908514,182807144,191459880,191459868,182807135,182807136,182807137,172908508,172908509,182807139,191459873,198905257,205206277,210421912,210421918,210421917,264910135,210421918,205206279,205206278,210421915,210421913,264637008,198905255,191459864,191459863,182807142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3540040, s2 = 8718671, dlinesl.size( ) = 36 s1 = 3278619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13782059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6881987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6881987, s2 = 385684, int(edited[s2]) = 0 s1 = 6881987, s2 = 385684, d1 = 22, d2 = 29 Dl.O(d1) = 259612405 Dl.O(d2) = 26094509,256689329,42981277,53455633,65475584,78805704,66011430,53941280,43414576,34313393,26435202,19696664,14122647,9716141,255309835,268528145,39046207,256270094,11749930,11749929,16803545,254321360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6881987, s2 = 385684, dlinesl.size( ) = 2 s1 = 6881987, s2 = 385684, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6881987, Dl.E( ) = 42, 1.1e-05 seconds used appending s1 = 3541531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3541531, s2 = 15944477, int(edited[s2]) = 0 s1 = 3541531, s2 = 15944477, d1 = 3, d2 = 41 Dl.O(d1) = 118799500 Dl.O(d2) = 265021553,264969478,207503068,201631207,194653833,194653834,201631209,207503070,264189834,264189832,186506687,262189628,261121776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3541531, s2 = 15944477, dlinesl.size( ) = 2 s1 = 3541531, s2 = 15944477, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3541531, Dl.E( ) = 42, 1.29e-05 seconds used appending s1 = 10341057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3755476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13624111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3542220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9330561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9330561, s2 = 1427914, int(edited[s2]) = 0 s1 = 9330561, s2 = 1427914, d1 = 6, d2 = 5 Dl.O(d1) = 258725320,50038151,50038150,257293206,65527582,255732894,254967032,27243421,20312427,16447942,254788519,7622746,255105165,255926025,23480534,257038121,60864163,72492488,59758493,59758490,72492485,86089725,86090224,86090223,79120339,78440584,65157676,65157678,64379130,55339914,55339903,44493854,44493856,55339908,52505265,52505264,64379002,77547234,84718014,71148045,58426344,47051582,37160945,28644828,28644826,37160940,37636576,37636575,47541764,58922872,48376345,38474507,38474508,29915899,29915904,38474567,48376423,44773220,44773219,35348088,35348087,44773227,55681978,68080602,81570374,95603836,109806180,95603814,95603813,86089728,86089726,100052305,113781398,99767726,99767727,90572130,76703096,270882934,255636329,32653446,41542399,51823141,63612324,76703097,259619891,118939918,116452670,102359592,88362886,74734105,61939688,50448326,40413985,31722156,254473114,267782982 Dl.O(d2) = 270284972,260506381,139576262,152306009,142610163,129240176,259925082,101233659,87233261,73611830,73611831,73611832,72449973,59713181,59713180,72449971,86048742,86048743,84495695,258147850,257209320,36967496,28468842,28468844,26256093,26256092,21397243,15411353,10652633,10652631,12398848,8379229,5407508,3324324,3324323,5407504,8379227,8385408,5411111,5411109,8385396,12407164,17579108,15305010,10569055,10569056,15305090,21266787,16801196,11747904,7843596,7843597,11747909,15269688,15269689,13515833,13515834,268299003,25548266,33309698,28471818,28471817,30155466,30155467,38738006,268298856,17576764,12404915,12404914,10982969,10982968,268218033,29256067,37821226,257613406,23870647,17526201,12360170,12360171,8369107,8369108,8369404,6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325634,3325628,5409865,5400253,5400254,8367336,9250117,6058094,6058097,9250124,254727004,9250147,13518009,268069286,33326300,256310276,256849297,36977594,46856175,258296752,24287644,17906409,17906410,24287646,256556097,40496983,50532397,62024253,74820995,88454454,102458308,116557565,130397668,143723650,156250449,167839677,178277412,187488216,195504221,199604261,192300291,183822461,174153313,163303862,151426029,138730988,125407584,111608748,106709962,95231582,81175744,257915545,44524194,256224751,20167967,14469528,14469527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 7015843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8330280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3543864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13610419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13686399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3545128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13307609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3783658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13472585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3784321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3784321, s2 = 13849661, int(edited[s2]) = 0 s1 = 3784321, s2 = 13849661, d1 = 26, d2 = 28 Dl.O(d1) = 133053806,119223537,105030667,90851298,76972618,63860941,52041382,41726316,39467395,30863459,23433965,17158386,12061862,8110162,5195955,3170252,1856019,1059298,1059302,1856023,3170259,5195964,8110181,9263073,10700073,8362014,5397338,3318888,3318887,5397335,8362009,12054055,12054052,9260265,6065086,3794783,2273061,1318193,752060,427216,241156,241158,427223,752069,1318223,2273153,3794997,6065418,6973578,4380851,4380850,6973576,10572533,9267007,9267006,6069896,3797798,2274744,1319102,752475,427409,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404543,5404546,8374277,12391962,13504194,17154129,21941452,29262953,23657244,23657243,31144292,39826716,49850321,61333389,74115655,87721117,101694582,115739628,129636261,142963828,155513342,155513341,142963826,129636260,129636261,142963828,155513342,155513341,155513340,142963830,258886914,115739627,115739628,129636261,142963828,155513342,155513344,155513343 Dl.O(d2) = 265602316,231639901,265433436,226890464,224843078,265042848,228674500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3784321, s2 = 13849661, dlinesl.size( ) = 2 s1 = 3784321, s2 = 13849661, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3784321, Dl.E( ) = 30, 3.1e-05 seconds used appending s1 = 9464663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9464663, s2 = 11395756, int(edited[s2]) = 0 s1 = 9464663, s2 = 11395756, d1 = 27, d2 = 22 Dl.O(d1) = 99311827,99311828,261137397 Dl.O(d2) = 262798430,261686709,263124061,263124063,165023179,153204311,263124065,175755404,263070177,163633602,151758436,262624807,151758436,139056566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9464663, s2 = 11395756, dlinesl.size( ) = 20 s1 = 9348180, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11659628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659628, s2 = 2115024, int(edited[s2]) = 0 s1 = 11659628, s2 = 2115024, d1 = 0, d2 = 0 Dl.O(d1) = 28902569,37442171,47348917,58736655,71466271,71466273,84045880,84045879,97916672,97916673,84045878,70510576,57809366,57809365,70510579 Dl.O(d2) = 28902569,37442171,47348917,58736655,71466271,71466273,84045880,84045879,97916672,97916673,84045878,70510576,57809366,57809365,70510579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659628, s2 = 2115024, dlinesl.size( ) = 2 s1 = 11659628, s2 = 2115024, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659628, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 6802925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3547753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3547753, s2 = 910720, int(edited[s2]) = 0 s1 = 3547753, s2 = 910720, d1 = 51, d2 = 2 Dl.O(d1) = 119246923 Dl.O(d2) = 23156782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3547753, s2 = 910720, dlinesl.size( ) = 2 s1 = 3547753, s2 = 910720, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3547753, Dl.E( ) = 104, 2.5e-05 seconds used appending s1 = 7026622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6550764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6883448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6926666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9236879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 165788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13566605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13566605, s2 = 7562731, int(edited[s2]) = 0 s1 = 13566605, s2 = 7562731, d1 = 6, d2 = 6 Dl.O(d1) = 269439238,272364503,260787274,156975879,156975880,144575395,131350464,271928878,156975881,146380790,133151036,133151037,260190162,260787278,155537202,158750961,146380779,133151027,133151028,146380782,158750964,260787272,170110995,270967346,133151042,257710740,90940437,90940438,258322348,257125784,90940430,105123039,119318274,260190160,258322352,105123042,269439238,272364503,260787270,260787272,170110995,270967346,133151042,257710740,90940437,77057675,63943733,268009954,25176339,18616986,13233640,9024366,9023136,5892514,3680023,2203101,2203100,2160427,2160425,3608804,2209270,1282667,1282664,2209259,3690197,5905684,9038191 Dl.O(d2) = 269439238,272364503,260787274,156975879,156975880,144575395,131350464,271928878,156975881,146380790,133151036,133151037,260190162,260787278,155537202,158750961,146380779,133151027,133151028,146380782,158750964,260787272,170110995,270967346,133151042,257710740,90940437,90940438,258322348,257125784,90940430,105123039,119318274,260190160,258322352,105123042,269439238,272364503,260787270,260787272,170110995,270967346,133151042,257710740,90940437,77057675,63943733,268009954,25176339,18616986,13233640,9024366,9023136,5892514,3680023,2203101,2203100,2160427,2160425,3608804,2209270,1282667,1282664,2209259,3690197,5905684,9038191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13566605, s2 = 7562731, dlinesl.size( ) = 2 s1 = 13566605, s2 = 7562731, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13566605, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2976190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2976190, s2 = 8252238, int(edited[s2]) = 0 s1 = 2976190, s2 = 8252238, d1 = 21, d2 = 23 Dl.O(d1) = 89304437,75548533,75548534,80311450,71058378,58342479,50988146,50988147,42560328,42560329,53000393,64975517,62610527,50988142,50988143,61409679,61409678,74189074,87793039,101765707,88616063,74974078,62162435,50653435,50653434,62162433,62610538,50988155,50988156,258320973,89304439,89304444,75548541,256573876,40853319,32081296,32081297,40853321,42791525,33760698,25952673,25952674,33760700,42791527,53242655,65231097,65231091,57768826,57768825,65871232,53803426,43278589,34182105,26310581,19585656,19585655,24507461,24507400,18078947,12817456,8714860,5673020,5673021,8714861,12817461,254826920,17427502,17427503,23753511,31236702,39912166,49930653,61409693,61699228,74482281,88094564,102081441,103394038,89304546,75548713,62610710,62610709,75548712,74013201,61232738,50988206,41829076,32904334,256075138,269035884 Dl.O(d2) = 119372838,119372839,258960928,259063668,59472088,59472087,62617090,50995911,40862175,32091284,24517237,268125111,12822364,15864325,10995604,10995605,15864335,20988842,28169236,21350596,15374608,15374607,21350592,22146471,22146472,29484776,24518075,18087128,18087129,24518082,28526819,21304870,15335714,15335713,21304866,28526811,37024812,38022809,42135148,42135149,52492052,46512267,36644641,28169272,28169275,28169265,20988869,20988868,28169260,23023790,23023792,23023756,23023758,30429348,39018614,39018650,37848631,37848634,38999882,38999883,36644582,28169222,20988837,20988838,28169227,28169232,21350583,21350584,23023811,28580042,37084526,40863605,32092471,24518100,18087136,12822725,12822726,18087142,24518107,28526803,21304862,21304861,28526799,37024794,39018695,39018696,48941995,52492048,48941950,39018607,30429341,30429340,39018604,39018685,30429411,23023796,16782590,11734386,7834420,7834419,11734381,16782582,23023784,30429391,39018661,47771816,48923842,48923843,48941962,39018629,30429363,25433912,23023999,16782716,11734453,11734451,16782711,23023989,30429686,39018995,48942223,40863580,40863579,39018923,39018885,37111959,37111958,37848685,37848684,46902496,46902494,47771813,39019332,39019333,48942467,48942060,48942061,48942009,39019302,39018720,30429445,23023826,16782604,11734395,7834424,4973043,4973045,7834430,11734413,11734443,7834451,7834450,11734441,16782692,23023961,30429463,23023842,16782613,11734399,11734401,16782619,16782856,11734531,7834491,7834489,11734424,16782668,23023932,30429601,25195351,18633539,13247915,13247916,254638492,22034009,22034011,29364533,37930935,37930936,256102498,29364528,29364530,37930974,29364526,256376949,47850925,59247531,257549464,256425566,38446597,255106054,22033993,16361636,16361635,22535556,29890098,32906814,25195353,22535649,16361694,16361695,22535651,29890228,37930931,37930930,29364538,22034017,15932584,15932583,22034015,29364534,29776717,22412423,16248305,16248304,21324044,28548359,37048046,46926139,38446608,29890110,22535567,22535568,29890113,29890107,22535562,22535563,254789510,11296187,16247959,22411920,29776036,38347727,48258273,59645205,72379684,59732908,59732907,59247542,47850932,257499557,48259423,38348605,29776715,22412420,16248303,11296414,7500003,7500004,268087223,29776720,38348609,48259427,59646641,72381586,59733099,59732903,48348840,48348841,269815401,59908809,59645201,59645200,71906225,85491118,99432712,113434658,99432694,99432695,100030601,113954719,99931966,85974410,72379677,59645198,59645199,48259418,38348601,38348602,48259421,59646623,59646624,59646627,72381575,85976908,86067479,86067478,72665201,59924889,59924887,72468633,72468632,72468634,269352044,114057763,114251171,113434649,99432684,99432685,99432689,113434655,127293261,113954717,99931964,85974408,85974407,72381579,72381578,258159786,72381583,59646633,59646632,72381581,85976912,99432701,113434664,113958008,258782268,85976901,85976900,85976897,72381567,72381566,85491121,259407508,71906204,71906205,258215930,99432690,85491090,71906202,258102890,47769583,59168195,71906199,85491084,86250459,259407511,85976913,85491103,71906214,71906213,59646620,48259407,38348598,256950115,59168197,59168198,71906206,85491092,258215932,113434653,99432708,259970161,113434673,113434651,259407512,85976904,85976905,99935067,99432677,99432676,99432707,85491113,71906219,59168209,47769591,37846854,29279475,29279476,256913085,59168214,71906229,71209826,58488281,257166606,84778461,73174919,73174920,71906242,59168224,47769598,37846859,29279478,21955015,15863531,255439443,29279473,37846849,47769582,258103073,85491078,99432674,113434645,260612454,113434666,258768760,87644318,101611273,260012246,112702014,98706393,84778463,71209829,58488283,47110378,37213609,37213610,39095427,39095428,49024374,258193535,259441005,113434641,99432666,85491073,71906195,59168190,47769579,47769578,59168188,60740622,60740623,73489830,85571968,71984882,59247678,47851110,37931266,29364968,22034527,15933136,11056142,7331139,4631231,4631232,7331141,11056145,15933141,22034534,29364984,37931291,47851140,59247716,59247699,59247700,71984908,85571990,74041049,61261371,49782593,47851128,37931279,29364976,29364975,256919317,257013564,59247545,47992673,47992675,59382404,59247668,47851098,37931258,37931259,257499571,37931262,37931263,46622241,36734052,36734051,44383694,255527486,25493907,18889249,18889248,25493905,31085132,30612204,30612203,39208382,49135321,47992676,40402356,31710183,24202486,255199525,12627482,17832953,24202488,31710187,40402363,257013566,257013568,61261374,49782598,39763306,31085138,23601141,23601140,31085136,39763303,38080052,29515587,22174005,16049473,16049472,22174002,29515583,37077022,37077023,39000386,39000392,37057522,28556867,28556866,30429892,39000328,39000327,31377787,23881076,23881077,23881091,23881092,21369305,15389319,10635360,7020698,4415162,4415161,7020694,10635350,15389289,16766807,11719980,7822196,4964263,4964262,7822192,11719969,16766765,16766767,23006314,30411214,23206662,23206661,30629464,33980100,33980102,39227135,39227136,39227003,30629122,23206362,23206361,16935743,11853012,7922050,7922049,11853009,11853097,7922086,7922085,11853091,16935900,23206700,30629522,31377756,39227061,30629549,30629550,30629234,30629233,30629137,30629141,32092084,30629221,30629220,30629065,30629066,23206349,16935688,16935690,23206354,23206543,23206534,23206533,24517756,23206563,23206564,16935827,16935828,23206588,23206615,23206616,30629416,39227237,37596204,37596203,47500153,47500180,37596218,29048447,23206427,16935730,11853001,11852973,11852972,16935675,16935905,16935887,16935876,16935875,23206673,30629479,39227303,32091303,32091302,32092042,24517784,18086919,12822603,12822602,18086915,24517799,32092091,37950673,40863135,46813464,36935189,36935176,28436231,28436232,36935182,32092065,32091522,24517394,18086637,18086636,24517387,32091513,39227266,32092009,30691805,23277065,17018883,17018884,23277072,18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,3529496,5674654,8717857,12822554,18086835,23268954,30685638,39282583,44722294,44722295,55621142,68009014,256663336,92485174,92485175,106792392,112519654,98524861,98524862,102148125,88157568,74542894,74542895,88157570,102148127,116209136,106775630,92469773,78433510,65151537,65151538,78433501,65151521,53167086,42717481,33687467,25881090,25881091,33687468,42717483,53167092,53167168,53167080,42717494,33687476,25881096,19221953,19221952,25881095,33687475,42717490,53167069,42717465,33687452,25881081,19221944,13730895,9406364,6162782,3856116,2310302,2310303,3856117,6162784,9406368,255285473,25881097,33687478,42717498,53167115,258442691,53167072,42717467,42717468,42717499,53167117,65151545,65151576,65151577,65879643,65151504,53811487,43286404,43286403,53811504,269322564,59658797,72393854,85989686,99948126,113970968,113970963,106775645,92469781,256890280,65151549,78433519,72768832,72768834,72768824,60031891,48639007,38721180,38721181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2976190, s2 = 8252238, dlinesl.size( ) = 18 s1 = 13536963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13536963, s2 = 9239604, int(edited[s2]) = 0 s1 = 13536963, s2 = 9239604, d1 = 18, d2 = 16 Dl.O(d1) = 86527125,86527126,86527178,72928884,72928883,72928906,60189536,48792806,48792807,60189529,60189534,258804011,86527211,72928910,257571907,48792803,60189528,72928874,86527167,100485731,100485751,100485752,100485736,100485735,114509472,114509473,128383758,128383773,125726999,111909687,97972417,97972416,111909684,97972430,84098699,70562418,256805718,70562420,70562417,57860938,46504845,46504844,57860937,256805716,84098676,83849043,257383878,111629946,111909669,97972406,84098681,84098680,97972405,106088081,91893108,77968292,64773465,64773464,77968291,91893106,259244980,91893099,91893130,77968314,256661874,52853663,64773482,77968318,268301774,78384099,255275278,268620436,255049644,23030075,23030077,30436706,30805553,30805552,39410548,49340066,46287705,36434682,36434683,254444002,32957253,25237392,18668395,13276812,13276813,18668398,25237396,20982782,20982781,28162691,36637652,46287681,36434784,27976057,27976056,28162559,20982657,15070373,10393589,6850724,6850725,10393593,15070383,20982672,28162572,32998498,32998499,36434785,27976058,20812536,20812537,27976059,36434788,27976101,20812573,20812574,27976103,36434812,46287778,57632382,57632424,256805713,255782229,14916633,14916632,20812576,27976016,254479992,14916707,14916573,14916572,14916667,10257077,10257013,10257012,254321024,10257107,254479998,10257185,14916769,20812678,27976189,36434894,37170811,254703744,21410378,20812345,14916452,10256941,10256939,6850695,4299048,4299047,6850692,10393540,15070300,20982584,268061932,15070308,254996170,254703724,28162477,21410382,15421809,10660968,7040488,7040487,10660966,15070341,10660974,10660970,15070346,10393576,6850720,6850721,10393579,15070353,20982626,28162516,36637466,46288181,36435155,36435154,46288180,36637457,28162506,20982616,20904815,20904814,28077177,28077180,24223541,24223540,31731767,40425619,36434823,27976121,27976122,36434825,46287787,57632182,70322930,83848741,97708112,83980333,257994484,46406677,57757409,70452481,83980331,258618516,70452474,70452475,259255671,83848779,83848781,83848818,83848819,97708172,111629699,257383848,70322939,70322938,83848745,269760202,73617159,60866800,60866799,70322952,70322953,70323004,83848809,270787980,258618596,97972284,87238728,84509820,70946249,58229072,58229073,70946251,84098544,70562284,70562285,70946272,70946274,84509843,84098538,84098539,97972282,111909566,125726858,126282367,271749886,100946507,86962745,86962746,93373828,79245960,65881667,53813709,53813707,65881663,78048870,64851805,52926251,42515688,42515689,52926252,257808732,91975183,78447480,65164558,57663598,46319427,36466609,28007790,20843119,14943379,10277958,10277959,14943380,20843120,28007792,36466612,43962722,34687483,26693006,19873140,19873139,26693004,34687482,40602648,31893709,24365582,17969843,17969842,24365581,24365576,24365573,31893695,40602634,37119796,254935512,37285754,47194345,58585850,71319336,256667168,64972028,71319334,71319335,84893205,85503676,71918300,71918299,84087454,84087455,85552121,85552120,99499032,106569681,98820261,98820260,112811464,113447937,127306974,120817074,270277288,140858064,141708485,128360738,114484222,114484224,128360739,141708487,260486082,140653128,153332664,165144017,165144023,166528757,154823995,154823996,166528759,177106102,169496666,261559336,166528754,166528753,154823992,260405038,128831247,142188411,142188412,128831261,260539024,114931851,100880219,258068270,60546135,60546136,73289426,86900035,100880222,114931854,128831267,142188430,146639250,159001862,146639251,133395831,133395826,119536518,119536517,259635561,77186247,77186246,91097007,105310447,119536516,133395825,146639246,159001843,146639243,146639244,159001855,159001847,146639235,146639236,159001849,170337944,159001844,154598364,154598363,159001867,146639256,260848243,119536524,105310458,91097016,77186252,64049129,52210343,52210344,64049131,52210347,41880995,32947053,25228195,25228196,32947054,41880996,52210350 Dl.O(d2) = 77186263,77186245,259008139,77186244,270505269,105310443,119536510,133395812,133395857,133395856,272693511,170337969,180475102,189387812,197098764,191641826,183028629,183028630,191641829,199048700,205314168,205314169,199048694,191641824,183028626,183028622,173174552,259759208,149857903,162072090,173174551,162072089,149857902,136715068,122882765,257283656,80273845,66843843,54584234,54584235,57797934,52674852,52674851,64574987,77757595,66843862,257283659,34567616,34567615,43839320,54584242,66843859,80273867,94330477,94330478,101658578,101658579,114898305,109464943,95210428,81153346,67687618,55347905,44501585,44501586,55347908,257517848,39876409,49897868,49897870,39876410,257056449,61378263,74158708,74158712,74158711,259494809,115780619,129677152,143004928,155553057,165952634,176598716,186019666,186961645,186961644,195046274,195433744,187405794,178179844,178179845,178179846,178179848,167724292,156120132,143584005,260747055,102325626,88329816,88329817,260149713,126282349,112419614,112419613,112419611,102325623,88329814,259289045,70946226,58229050,58229051,70946227,84509801,98431302,102363502,268915306,61943095,50451599,40417047,31725157,24218315,24218314,31725156,40417045,50451595,61943088,74737585,83938631,74737592,256310718,61943086,256849750,50091584,40070406,31387914,23891478,255057710,8362715,5397699,5397702,8362706,8488702,12527063,17709209,15280733,15280737,21246848,17398941,12261483,8280621,5342572,3283671,3283673,5342580,8280639,12261517,17398989,16082741,11826191,7903429,5023930,3040933,1770843,1770846,1770521,1770520,1009159,568728,318530,318529,568725,1009144,1770686,3040668,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950301,13538409,12390867,8373507,5404109,3322490,1954202,1954203,3322498,5404123,7679803,10016601,10016605,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,10465082,15173974,11528750,7669280,4852501,3459343,2051154,1176538,660455,660453,1176528,2051133,3459302,5576059,8380638,8380640,8279247,8279248,12259186,12639194,17847938,24218316,28046717,20878776,14976890,10309418,6780695,6780694,6829355,6780697,4250352,2540939,2540938,4250349,5375960,5375962,8329649,12330434,11537159,7675416,7675415,7675721,7675720,8325863,8325861,10299607,254325658,6800093,6800284,4264474,2549607,1468721,830866,468684,263580,145961,80256,43970,43967,80243,145935,263523,468594,830699,1468408,2549041,2625462,2625461,2551540,1469791,1469792,2551541,4267753,6804967,7672820,7672817,11533315,16547295,255368249,15026767,14957934,10291014,10266729,6746357,4227286,254704173,6769889,10297061,10383549,6843036,4293817,4293818,4282690,4282691,6746725,6746727,5950580,5950582,9095535,10988979,10315127,10315125,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,3716907,2225716,2225719,3716918,5944094,9087011,13305440,18698451,21025340,28220509,36713191,256231394,22694829,16492753,16492752,16492756,11491067,11491066,16492755,22694833,30075351,38651665,48567137,59959107,72696947,72696950,86294633,100257508,86294630,72696946,59959099,59959098,72696945,86294629,84628972,84628973,98552826,84628974,71065618,71065610,58349338,46979942,46979943,58349337,46979941,269090180,256145988,28589839,21358521,15380806,15380808,13003669,13003670,18319353,24807668,32442111,41281253,42125040,33168621,33168622,34203282,26329807,26329808,34203283,34096329,26233963,19517697,13971340,9594010,6298863,6298861,9594008,13971337,255709609,33168624,33168625,37096417,28589821,21358508,15380795,10628889,268070769,21358505,28589818,24807663,24807664,256597989,51495503,63205535,51495502,41281257,41281258,257737877,46446734,36581290,28109042,20932434,15024366,15024365,18444808,18444805,18444825,18521101,15024320,15024319,20932358,28108963,256095367,255237091,13102453,18444873,24963390,32442117,24807675,18319356,18319355,24807672,24807670,255230539,13003671,13003664,13003665,18319348,24807661,32442102,32632614,31838874,24343773,24343772,18444870,18444871,24963395,24963391,255237089,8929582,254638531,254638533,12718321,268120985,13167065,13167064,18531645,255207975,8644641,5622394,3493075,2075179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13536963, s2 = 9239604, dlinesl.size( ) = 2 s1 = 13536963, s2 = 9239604, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13536963, Dl.E( ) = 20, 9.78e-06 seconds used appending s1 = 3551618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9167951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9167951, s2 = 6479250, int(edited[s2]) = 0 s1 = 9167951, s2 = 6479250, d1 = 6, d2 = 6 Dl.O(d1) = 67601571,55259831,44412195,44412194,47336532,37428251,28886222,21610152,15581157,15581160,255848079,36890705,28393556,28393555,36890703,46768959,58136640,58136590,46768890,46768891,49400981,49400982,51610644,58725222,51610544,41384474,32533945,24889058,24889059,32533947,41384480,51610552,269828717,48721908,38800817,38800818,39472566,39472565,49401128,60801783,58136654,46768984,36890724,36890725,268976253,39472573,49400622,49400623,41384542,32533999,32534000,41384546,51610630,53164000,42714219,33684131,33684130,42714214,53163993,60801563,60801561,60801568,49400936,39472503,30869039,23440715,23440713,24889089,23440673,23440674,30868969,32533903,24889035,18389315,18389316,24889038,32533906,28393525,28393524,36890598,28393576,21173900,15214719,10495182,6920701,6920700,10495176,15214709,21173885,28393550,36890654,36890653,39472578,30869117,23440789,23440788,18389356,13062065,8900915,8900919,13062068,18389362,24889114,25877730,19218459,19218458,25877725,30868696,30868697,39472114,39472511,30869050,23440728,17167060,17167058,23440655,23440657,30868954,39472408,41140707,32533900,24889032,24889030,32533897,39472121,30868705,30868704,24468028,18048146,12794363,12794362,15214678,10495161,10495162,15214681,17167156,17167158,23440868,30869213,39472583,30869123,23440794,17167097,12070793,12070792,17167091,23440784,24889099,21406057,15418375,15418373,19218440,19218439,23440765,23440441,17166882,17166883,23440445,30868670,23440741,17167067,12070774,9403774,9403773,13727749,19218465,23440644,23440643,30868940,30868946,23440649,17167014,12070744,8117093,5200216,3172524,3172526,5200222,8117101,8117061,8117060,12070689,12070834,8117143,8117144,12070837,17167164,23440882,17167173,17167171,23440897,21804615,21804616,17480633,12324830,12324831,17480636,23440847,17167144,17167143,23440499,30868737,33684108,25877706,25877707,30868720,30868721,24722152,24722151,21406011,15418348,10658253,10658252,7038409,4428760,4428762,5733468,5733466,8801830,12937780,256079237,256079239,41140732,51325169,63004808,75987899,89766666,260209825,131841462,141388673,128019912,128019911,114130345,100095834,86128434,72529001,59793715,48408837,38502963,29939298,22576326,16393352,11409574,7581638,4795431,2890677,254359251,7581633,11409567,255479209,22576318,27085476,20187138,20187139,268022130,30106947,22725959,255123766,18746822,25325830,33054523,255915451,22462848,22889193,255947187,16660255,16660256,22721511,254516764,7657138,7657134,11510502,15795511,10943901,10943902,15795514,20295139,19900330,14255850,13338585,9113528,9113526,10333019,6801019,6801020,10333011,15002750,17497777,18234734,16903624,16903622,17756546,17756545,17756520,12564521,12564523,15631340,15631339,12916830,12916828,12160453,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228832,2528479,2528478,4228829,6748865,9067277,11512429,7658294,4845583,2919983,1693842,963215,963217,1693848,2919993,4845613,7658261,7658260,11512368,16519060,20187663,23652977,23652978,27985866,20821001,15593988,15593987,21624673,25234321,20342357,14600098,10046201,10046200,12210068,14925365,12210115,8241036,5312788,5312789,8241041,12210121,12208652,12208650,9067366,9067365,11509547,11509546,11509837,10354730,10354729,9067333,9067335,8584914,5578408,5578406,6603432,6753025,6938072,10520507,12209660,8240762,5312628,5312626,8240757,12209652,11208219,7436922,7436923,10276559,10276557,14941745,20841238,15051344,14967748,10299896,10299894,12005208,12005209,14902178,10246206,10246205,12337488,8334659,8334657,12337482,14941084,17498491,13292996,13292995,254711426,32980341,41920452,52258668,64107394,77254034,91172468,105394349,258627594,133502478,146758602,159132615,163488565,259263614,111764462,97838753,83976720,70448743,57753632,255008772,28073888,20901971,14997290,14997289,20822644,16514782,11509214,7656351,4844556,4844557,7656355,11509224,16514713,16514720,14959447,10292297,10292296,14959444,20861039,25295939,23017356,16777074,11730025,254711944,23017357,18891163,13462428,9206272,9206273,8787343,5723456,5723457,8787346,12917657,18212457,24677464,21326090,21326091,28550854,28137170,26140997,20294854,20294853,22753022,16541971,11528963,7669435,7669434,11528960,16541965,15591821,15591823,14968047,10790272,10790271,10392082,10392080,12680519,12680520,14600316,10046358,10046361,10344294,6810264,6810265,254118024,10344290,6810262,254219448,2553744,4271407,6810266,255005075 Dl.O(d2) = 67601571,55259831,44412195,44412194,47336532,37428251,28886222,21610152,15581157,15581160,255848079,36890705,28393556,28393555,36890703,46768959,58136640,58136590,46768890,46768891,49400981,49400982,51610644,58725222,51610544,41384474,32533945,24889058,24889059,32533947,41384480,51610552,269828717,48721908,38800817,38800818,39472566,39472565,49401128,60801783,58136654,46768984,36890724,36890725,268976253,39472573,49400622,49400623,41384542,32533999,32534000,41384546,51610630,53164000,42714219,33684131,33684130,42714214,53163993,60801563,60801561,60801568,49400936,39472503,30869039,23440715,23440713,24889089,23440673,23440674,30868969,32533903,24889035,18389315,18389316,24889038,32533906,28393525,28393524,36890598,28393576,21173900,15214719,10495182,6920701,6920700,10495176,15214709,21173885,28393550,36890654,36890653,39472578,30869117,23440789,23440788,18389356,13062065,8900915,8900919,13062068,18389362,24889114,25877730,19218459,19218458,25877725,30868696,30868697,39472114,39472511,30869050,23440728,17167060,17167058,23440655,23440657,30868954,39472408,41140707,32533900,24889032,24889030,32533897,39472121,30868705,30868704,24468028,18048146,12794363,12794362,15214678,10495161,10495162,15214681,17167156,17167158,23440868,30869213,39472583,30869123,23440794,17167097,12070793,12070792,17167091,23440784,24889099,21406057,15418375,15418373,19218440,19218439,23440765,23440441,17166882,17166883,23440445,30868670,23440741,17167067,12070774,9403774,9403773,13727749,19218465,23440644,23440643,30868940,30868946,23440649,17167014,12070744,8117093,5200216,3172524,3172526,5200222,8117101,8117061,8117060,12070689,12070834,8117143,8117144,12070837,17167164,23440882,17167173,17167171,23440897,21804615,21804616,17480633,12324830,12324831,17480636,23440847,17167144,17167143,23440499,30868737,33684108,25877706,25877707,30868720,30868721,24722152,24722151,21406011,15418348,10658253,10658252,7038409,4428760,4428762,5733468,5733466,8801830,12937780,256079237,256079239,41140732,51325169,63004808,75987899,89766666,260209825,131841462,141388673,128019912,128019911,114130345,100095834,86128434,72529001,59793715,48408837,38502963,29939298,22576326,16393352,11409574,7581638,4795431,2890677,254359251,7581633,11409567,255479209,22576318,27085476,20187138,20187139,268022130,30106947,22725959,255123766,18746822,25325830,33054523,255915451,22462848,22889193,255947187,16660255,16660256,22721511,254516764,7657138,7657134,11510502,15795511,10943901,10943902,15795514,20295139,19900330,14255850,13338585,9113528,9113526,10333019,6801019,6801020,10333011,15002750,17497777,18234734,16903624,16903622,17756546,17756545,17756520,12564521,12564523,15631340,15631339,12916830,12916828,12160453,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228832,2528479,2528478,4228829,6748865,9067277,11512429,7658294,4845583,2919983,1693842,963215,963217,1693848,2919993,4845613,7658261,7658260,11512368,16519060,20187663,23652977,23652978,27985866,20821001,15593988,15593987,21624673,25234321,20342357,14600098,10046201,10046200,12210068,14925365,12210115,8241036,5312788,5312789,8241041,12210121,12208652,12208650,9067366,9067365,11509547,11509546,11509837,10354730,10354729,9067333,9067335,8584914,5578408,5578406,6603432,6753025,6938072,10520507,12209660,8240762,5312628,5312626,8240757,12209652,11208219,7436922,7436923,10276559,10276557,14941745,20841238,15051344,14967748,10299896,10299894,12005208,12005209,14902178,10246206,10246205,12337488,8334659,8334657,12337482,14941084,17498491,13292996,13292995,254711426,32980341,41920452,52258668,64107394,77254034,91172468,105394349,258627594,133502478,146758602,159132615,163488565,259263614,111764462,97838753,83976720,70448743,57753632,255008772,28073888,20901971,14997290,14997289,20822644,16514782,11509214,7656351,4844556,4844557,7656355,11509224,16514713,16514720,14959447,10292297,10292296,14959444,20861039,25295939,23017356,16777074,11730025,254711944,23017357,18891163,13462428,9206272,9206273,8787343,5723456,5723457,8787346,12917657,18212457,24677464,21326090,21326091,28550854,28137170,26140997,20294854,20294853,22753022,16541971,11528963,7669435,7669434,11528960,16541965,15591821,15591823,14968047,10790272,10790271,10392082,10392080,12680519,12680520,14600316,10046358,10046361,10344294,6810264,6810265,254118024,10344290,6810262,254219448,2553744,4271407,6810266,255005075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9167951, s2 = 6479250, dlinesl.size( ) = 2 s1 = 9167951, s2 = 6479250, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9167951, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 11658638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7018005, s2 = 8375903, int(edited[s2]) = 0 s1 = 7018005, s2 = 8375903, d1 = 7, d2 = 8 Dl.O(d1) = 261420925 Dl.O(d2) = 105410631,105410627,91188360,261957507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7018005, s2 = 8375903, dlinesl.size( ) = 14 s1 = 3553242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3553242, s2 = 8829093, int(edited[s2]) = 0 s1 = 3553242, s2 = 8829093, d1 = 0, d2 = 12 Dl.O(d1) = 119669546 Dl.O(d2) = 225417345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3553242, s2 = 8829093, dlinesl.size( ) = 32 s1 = 715647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 715647, s2 = 10847202, int(edited[s2]) = 0 s1 = 715647, s2 = 10847202, d1 = 51, d2 = 53 Dl.O(d1) = 18252148,24725044,24845132,18349373,13026794,255629679,20114454,27005205,35091065,44467533,55313416,260400905,137359947,262919611,119670368,105432280 Dl.O(d2) = 119670367,261422559,146803786,260854375,105432281,119670369,133545164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3790501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10139659, s2 = 13413522, int(edited[s2]) = 0 s1 = 10139659, s2 = 13413522, d1 = 3, d2 = 11 Dl.O(d1) = 5820865 Dl.O(d2) = 2168862,2168861,3631240,5820863,8919666,13089232,18427586,24940843,32604025,41482503,51752462,63531044,76610737,90469159,260231989,119678665,259642445,77296732,77296731,259642443,258388165,269982031,259015047,269494783,41954440,52295327,41954436,41954435,41954438,256114493,25287180,33012142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10139659, s2 = 13413522, dlinesl.size( ) = 2 s1 = 10139659, s2 = 13413522, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10139659, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7234303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234303, s2 = 8587141, int(edited[s2]) = 0 s1 = 7234303, s2 = 8587141, d1 = 136, d2 = 182 Dl.O(d1) = 264350634 Dl.O(d2) = 273385038,167320715,167320714 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165128, s2 = 16376140, int(edited[s2]) = 0 s1 = 14165128, s2 = 16376140, d1 = 10, d2 = 0 Dl.O(d1) = 104204748 Dl.O(d2) = 10816192,10816191,15629996,21665664,21665505,15629839,10816068,10816067,7148260,4501498,2705097,1567579,891428,891427,1567577,2705093,4501490,7148243,10816213,15630034,21665706,21665603,21665604,254639070,47394188,58781109,47394110,37486437,28944367,21665491,21665492,28944370,37486439,47394113,43042648,33985097,26145194,19447832,19447831,21665683,254639072,7148238,4501486,4501485,7148237,10816205,15630017,21665681,28944407,21665532,15629864,10816088,10816089,255418615,28944411,33825365,37486469,268138326,256104128,85081948,269489590,126850009,140197917,140975193,127625564,259991243,99742556,99935470,271339445,271801295,113756941,127625560,113756912,113756911,127625558,140975191,153642415,141800467,128447580,114563894,100533629,86572860,72975204,72975203,86572858,100533626,105367607,105367608,119598016,112996780,112996781,126850324,140198194,126850590,112997113,99007893,85082359,71510424,71510425,85082361,99007897,112997117,119716568,105477106,91254745,91254743,91254744,105477105,98713131,95316591,81256150,67786714,55443241,257920623,67786741,55443264,55443263,67786734,55443258,55443256,67786730,81256173,95316589,81256149,67786713,55443240,55443238,67786711,59553666,48167136,44777191,35352559,27229481,20300404,268343165,35352558,44777189,55685453,68083860,259180613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165128, s2 = 16376140, dlinesl.size( ) = 2 s1 = 14165128, s2 = 16376140, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165128, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 8426343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165016, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8142594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9691026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8213490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8213490, s2 = 10343133, int(edited[s2]) = 0 s1 = 8213490, s2 = 10343133, d1 = 7, d2 = 7 Dl.O(d1) = 103395883,103395884,117520696,131316503,133592560,259645992,105478372,119717754,133592559,146850589,159224383,170562506,180694088,189591852,197280553,203839210,209314209,213804810,217489428,220562726,223176712,223060737,220419734,274140778,203464752,196833198,189082658,180132542,263324935,158592814,146218789,132985793,119151011,104955101,90775592,90775590,258373307,51971862,41663929,32752683,25060603,18522004,254905425,5856062,3655511,2186481,2186482,3655516,5675921,5675927,8699456,8700437,8700436,10606397,15353494,19203168,254730178,13961956,10632604,10632603,15385604,20136549,14442506,9935060,6529712,6529711,9935056,14442500,20136543,19506060,19506059,15875178,11003997,254119980,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256697,9135253,5978043,5978041,9135250,9989527,7283258,7283257,11002387,9135906,9135905,13366576,13366575,13918139,13066349,8903656,268017213,13104541,9552853,6268193,5976872,3737738,2237827,1297759,1297758,1297863,740733,740734,1297869,1649035,937600,937601,1649039,2842737,4718593,7466736,11248455,16182671,15377873,10626551,10626553,11003212,13365235,13365916,13365232,9134089,5977314,3737974,2237960,1297822,1297821,740799,740797,1297982,1298150,740877,421082,237637,237636,421066,421065,740845,1298083,2238446,3738864,5978987,4394046,4394047,6992098,10598331,15343628,255256065,11000363,7281811,4592218,4592219,7281813,11000365,254917503,5978396,5978395,268023159,10685705,255405151,21378786,21387695,25354978,25354525,18772336,13368305,9136391,5978727,5978728,9136392,11000686,7282058,7282059,11000689,15369439,11000079,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966187,12855613,8970333,5856009,3655482,2186468,1268437,1268434,2186456,3655460,3530199,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491588,12815538,13365439,14443666,15871094,19202649,19202650,254886866,15874995,15874994,19449027,13917830,13917831,19449030,20107336,14417623,9916091,9916092,7873715,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,1341257,1341258,2311956,3859225,6167764,254941323,14416438,18773237,13369254,9137155,5979232,3738995,3738996,5979235,254288608,18773247,25355270,33087840,41986438,33042614,25314669,18737304,13338848,12275725,8290193,5348121,3286777,1932813,254268513,5348122,255168473,23741379,268626201,10951842,15805018,21496926,15490373,15490375,21496929,21882882,21882884,29176817,22903053,16672032,16672034,22903057,28269313,21066801,21066799,25266074,25266075,28875030,28875029,37416628,47325155,268078540,21080400,15142134,10443455,6884700,6884699,10443452,8002870,8002871,11954792,17041330,23301612,256139125,268484754,62059140,52719616,52719617,256622326,77802204,257765838,259295074,112499991,112499990,126371331,139747367,272832241,261952244,170899102 Dl.O(d2) = 103395883,103395884,117520696,131316503,133592560,259645992,105478372,119717754,133592559,146850589,159224383,170562506,180694088,189591852,197280553,203839210,209314209,213804810,217489428,220562726,223176712,223060737,220419734,274140778,203464752,196833198,189082658,180132542,263324935,158592814,146218789,132985793,119151011,104955101,90775592,90775590,258373307,51971862,41663929,32752683,25060603,18522004,254905425,5856062,3655511,2186481,2186482,3655516,5675921,5675927,8699456,8700437,8700436,10606397,15353494,19203168,254730178,13961956,10632604,10632603,15385604,20136549,14442506,9935060,6529712,6529711,9935056,14442500,20136543,19506060,19506059,15875178,11003997,254119980,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256697,9135253,5978043,5978041,9135250,9989527,7283258,7283257,11002387,9135906,9135905,13366576,13366575,13918139,13066349,8903656,268017213,13104541,9552853,6268193,5976872,3737738,2237827,1297759,1297758,1297863,740733,740734,1297869,1649035,937600,937601,1649039,2842737,4718593,7466736,11248455,16182671,15377873,10626551,10626553,11003212,13365235,13365916,13365232,9134089,5977314,3737974,2237960,1297822,1297821,740799,740797,1297982,1298150,740877,421082,237637,237636,421066,421065,740845,1298083,2238446,3738864,5978987,4394046,4394047,6992098,10598331,15343628,255256065,11000363,7281811,4592218,4592219,7281813,11000365,254917503,5978396,5978395,268023159,10685705,255405151,21378786,21387695,25354978,25354525,18772336,13368305,9136391,5978727,5978728,9136392,11000686,7282058,7282059,11000689,15369439,11000079,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966187,12855613,8970333,5856009,3655482,2186468,1268437,1268434,2186456,3655460,3530199,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491588,12815538,13365439,14443666,15871094,19202649,19202650,254886866,15874995,15874994,19449027,13917830,13917831,19449030,20107336,14417623,9916091,9916092,7873715,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,1341257,1341258,2311956,3859225,6167764,254941323,14416438,18773237,13369254,9137155,5979232,3738995,3738996,5979235,254288608,18773247,25355270,33087840,41986438,33042614,25314669,18737304,13338848,12275725,8290193,5348121,3286777,1932813,254268513,5348122,255168473,23741379,268626201,10951842,15805018,21496926,15490373,15490375,21496929,21882882,21882884,29176817,22903053,16672032,16672034,22903057,28269313,21066801,21066799,25266074,25266075,28875030,28875029,37416628,47325155,268078540,21080400,15142134,10443455,6884700,6884699,10443452,8002870,8002871,11954792,17041330,23301612,256139125,268484754,62059140,52719616,52719617,256622326,77802204,257765838,259295074,112499991,112499990,126371331,139747367,272832241,261952244,170899102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8213490, s2 = 10343133, dlinesl.size( ) = 2 s1 = 8213490, s2 = 10343133, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8213490, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 11659598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659598, s2 = 8276252, int(edited[s2]) = 0 s1 = 11659598, s2 = 8276252, d1 = 38, d2 = 37 Dl.O(d1) = 177161289,261895638,166588430,263596791,263664798,264008146,142255300,128903993,115001906,100947831,86963874,73352368,60607392,49206952,39280644,39280646,38266813,33052849,28089363,20915721,15010173,10339994,6807071,6807072,10339995,15010174,20915723,255812475,31582832,31582831,31639217,31639216,33557381,42574215,53014526,64989600,255335150,41963227,33020389,33020390,34613208,43884406,54626759,48095730,38184087,29616858,22265580,22265581,29616860,256937463,48365600,48365599,59748445,66840197,66840198,80270013,77081466,63964826,52141972,41824771,254285608,13244820,254140938,5902007,5902006,9034264,13244819,18629608,13969781,254620338,4488681,2696643,2696644,4488684,7130069,6800825,6212091,6212092,9474136,13814742,19319747,25990614,25990593,19319722,19319721,18783832,13378409,9144064,9144065,12210169,17335947,17489953,254547514,9752783,10427430,10427427,15117639,21046876,28246865,30891010,38403472,267828076,16295514,11337792,254163538,22463834,29831309,38403466,40240745,38362635,29790129,22424637,22424636,29291590,28619484,28619485,24537007,18103775,18103774,13432057,9183528,6010735,6010734,9183514,268144707,42156318,52514366,259658481,119945554,261438791,260340634,64194186,52344133,42005209,268488067,25332390,256633745,52344135,64194189,259019101 Dl.O(d2) = 64194188,64194189,64194180,52344130,42005207,256118571,255706022,9124310,9393545,6153966,3850497,2306975,2306973,3850516,5872498,4398722,4398721,3859087,2311892,2311893,3859091,6167531,6530436,9936040,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,3589245,5762546,8842231,12988607,18123343,13705611,9387285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659598, s2 = 8276252, dlinesl.size( ) = 12 s1 = 7057259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7057259, s2 = 9473527, int(edited[s2]) = 0 s1 = 7057259, s2 = 9473527, d1 = 34, d2 = 47 Dl.O(d1) = 261963879 Dl.O(d2) = 91268199,259019679,257778207,257188907,256118983,257188905,33066419,255656458,13356314,9127820,5973221,5973222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9261561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9261561, s2 = 10344924, int(edited[s2]) = 0 s1 = 9261561, s2 = 10344924, d1 = 40, d2 = 39 Dl.O(d1) = 189599303,180701867,170570686,170570685,180701865,189599300,197287328,203845471,264352717,189599302,180701866,170570686,159233280,146860108,133603127,119729226,119729227 Dl.O(d2) = 77348120,257778207,42010583,256118983,18757250,13356313,13356312,268293295,33066416,269073661,13356313,9127819,5973221,3735439,2236442 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7018821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3557360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8376953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8376953, s2 = 8260470, int(edited[s2]) = 0 s1 = 8376953, s2 = 8260470, d1 = 20, d2 = 18 Dl.O(d1) = 261511898,75041373,62218190,62218191,75041374,270929907,88692264,75041382,75041381,88692260,102701460,100941377,100941378,109580008,109580009,102701473,88692272,75041389,258930570,258930572,128897689,128897741,133862087,119996858,111637380,97716632,83857952,83857953,97716634,100941386,86957632,86957633,89466158,89466163,100941410,114995625,128897735,128897716,114995611,100941401,257697684,81265033,88322817,102318493,116410972,123770493,109580045,95324672,81265050,67796959,67796958,74695239,61901612,50411136,50411135,61901610,74695237,88322831,102318517,116411007,128897691,258619400,111637374,111637375,113326270,105763913,91541965,91541966,85378511,71789150,59047597,59047596,71789143,59047593,59047594,71789145,85378502,89311288,75555646,62618671,50997366,40863437,32092342,24518007,20988844,20988842,28169236,21350596,15374608,15374607,21350592,22146471,22146472,29484776,24518075,18087128,18087129,24518082,28526819,21304870,15335714,15335713,21304866,28526811,37024812,38022809,42135148,42135149,52492052,46512267,36644641,28169272,28169275,28169265,20988869,20988868,28169260,23023790,23023792,23023756,23023758,30429347,30429375,30429376,39018638,48941966,57868701,257525634,30429360,39018626,48941960,48941991,40863044,39018630,30429682,23023986,23023989,30429686,39018995,48942223,40863580,40863579,39018923,39018885,37111959,37111958,37848685,37848684,46902496,46902494,47771813,39019332,39019333,48942467,48942060,48942061,258188673,257000497,30429481,23023848,23023847,23023948,16782682,11734433,7834444,4973052,3003690,3003691,4973056,7834448,11734438,11734522,16782846,268419599,39018813,257000503,258188679,60339618,257000555,16782848,23024208,30429985,39019340,48942100,39018827,39018829,48942102,48942452,39019311,255829344,16782832,16782835,23024193,28602876,21369327,21369325,23024167,23024166,16782866,16782860,16782862,23024226,30430002,39019365,46997413,40060542,40060541,46997223,37111710,28602646,28602645,37111706,39019054,37112088,28602983,28602981,256859413,58367622,60339427,53515653,43037453,39019317,30429964,256456361,46997501,58367568,60339630,48942487,48942488,256017064,23881137,23881136,31377880,255565202,269874285,46997190,46957452,37077056,28573605,21345239,21345240,28573607,37077059,46957455,37111654,37111653,46997168,39019087,30429792,30429793,39019090,258188677,58367516,46997448,37111967,37077076,28573614,28573613,37077075,39019125,39019124,39019177,37111895,37111897,37077029,37077028,28699796,21447757,15450940,15450943,21447760,28699802,31373377,25844941,19190485,19190486,25844946,31377891,23881153,21369130,15389193,15389192,21369125,28602615,37111667,41486035,40060535,31377875,23881134,255177253,8357055,5394087,5394088,267998349,17535255,23881139,31377883,40060546,48942347,60339556,60552835,49153443,47123397,37225690,37225689,47123395,269399896,40060519,31377852,23881121,17535244,12367707,8357052,5394086,5394085,8357047,12367697,17535224,23206452,17535258,15389298,15389299,21369276,28602788,21369263,21369264,28602793,23006358,16766797,16766798,23006327,16766774,16766773,23006324,23006345,30411206,39000338,39227032,30629461,30629321,30629322,39226999,39226959,255969229,255137815,11852980,11853118,7922097,5036504,3049429,1776521,1012861,570921,319781,319780,570919,1012857,254252019,5036480,7922037,11852987,16935702,16935732,16935731,11853103,7922090,5036501,3049426,1776519,1776518,3049414,254376193,7922029,11852972,16935675,16935905,16935887,16935876,16935875,23206673,30629479,39227303,32091303,32091302,32092042,24517784,18086919,12822603,12822602,18086915,24517799,32092091,37950673,40863135,50997032,60552901,49153566,40863108,39227220,30629388,30629377,30629378,39227206,49153574,50996243,40862438,256164492,60781649,53267756,42814762,33782161,33782160,37596191,29048428,21754882,15700882,10869050,10869051,15700884,21754886,18086894,12822588,8717881,5674644,3529493,3529494,5674649,8717891,12822608,18086928,23855315,17512130,17512131,23855325,31349355,40029776,39802264,31122076,23636042,23636041,31122070,39802256,36935188,28436233,28436232,36935182,32092065,32091522,24517394,18086637,18086636,24517387,32091513,39227266,32092009,30691805,23277065,17018883,17018884,23277072,18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,3529496,5674654,8717857,12822554,18086835,23268954,30685639,39282585,49209041,60609609,61427413,51321265,257728821,258787460,49840278,49840280,48582215,256430802,30088665,38666006,48582220,53057823,256974214,48582227,38666015,30088669,22706778,22706777,24708311,32323197,32323328,24708436,24708437,30088674,38666023,32323369,32323368,41137397,41137363,32323338,24708441,24708442,24708314,24708313,18236962,12935872,8800380,5732487,5732486,8800344,12935809,8800348,5732471,3569343,2127551,2127552,3569345,5732476,8800360,12340314,8336906,8336907,12340310,17501120,23841637,29314769,21986673,21986674,18898755,18898754,25509248,33269924,31408510,31408509,40088477,49104596,39174327,30576767,29289547,29289546,37858386,47782256,59181485,71005371,58290035,46924240,37046189,37046190,46924243,38274681,38274680,48184082,59570147,52653302,42267420,42267421,52653300,64552842,71799501,85387641,84586065,71021980,71021981,84586067,98511079,112506264,119767320,119767322,105534092,91316199,91316196,91316198,105534090,119767319,133636917 Dl.O(d2) = 142912868,155489854,155489879,142912886,129597596,129597595,262327751,167123139,155489851,142912864,142912863,155489850,272612254,155489874,155489873,167123136,167123144,155489880,260740786,258904294,87696566,87696564,101667559,259528770,142912861,260143352,129597580,115711600,101667564,101667565,115711602,129597581,142912859,131176871,131176872,142912854,129597575,115711587,101667557,101667558,115711588,129597577,129597585,115711595,115711596,129597587,142912873,261854114,131176865,131176864,131176866,272935847,177622170,177622171,263256472,194991489,201913493,207737810,212540262,216466090,213593681,209038218,203488230,196860895,189116221,180173636,170006754,158647932,146279312,133051582,119221075,105027887,90847970,76968893,63856992,52037335,41722080,32802099,25100429,24721281,18248074,18248075,12963292,12945190,8807449,5737299,3572567,2129494,2129493,3572518,2132985,1230802,1230801,2132982,3578104,3774816,2709140,2709143,2262849,1312941,1312940,2262846,3777593,3572588,2129500,1228994,1228995,267806455,5737339,8807512,12945264,255622735,32337581,25515835,18905943,13474391,9215893,9215894,13474394,18905948,24729937,32337529,256591419,33276215,25515893,18905995,13474427,9215912,9215911,13474424,18905935,25515824,33276140,32337566,32337565,32337521,24721337,24721336,32337519,32337555,32337535,32337536,257143607,37755785,37755786,42255786,33276207,33276208,39059417,48982075,52641148,42255785,33276206,33276205,32337524,24721340,18248130,18248132,24721344,24721372,18248149,18248148,24721368,32337563,41152855,37755784,37755783,33894865,33894864,33276204,33276203,42255781,52641143,52099149,52099148,52636736,256703824,41152840,32337550,32337551,41152843,42714043,42255789,33276210,25515890,25515891,33276214,25877592,25877589,33683955,42714018,42714022,53163800,60379972,48983127,39060437,39059445,39059444,48982097,60378871,73118798,65148283,65148284,65148280,65148279,71849311,71849310,85434885,78430370,65148337,53163872,42714080,33683998,25877612,19218383,19218384,25877618,33684008,42714094,48982109,39059458,39059459,48982112,53219041,53219042,65204932,53513985,53513987,53513981,43035728,43035729,42255703,42255702,49800738,49800737,48982081,257583155,53163843,65148318,65148544,60861934,49458926,39525276,30914760,30914759,39525274,49458920,60861923,53163818,42714035,269100315,65148300,77722066,65148321,53163852,42714066,33683992,33683993,33684001,33684002,42714087,53163881,65148349,73118807,73118806,258058434,257447770,60861917,60861918,53513996,43035740,33978692,33978691,43035736,53513989,60378859,60378858,73118793,78430361,78430360,74873480,73612048,60861929,60861928,73118800,73118801,86724202,88509404,77722019,257795897,52641078,64540164,77722023,78430377,73612024,73612023,74873474,74873475,73612033,60861919,60861921,73612035,74873471,78430385,78430383,87233423,73612050,73612051,87233426,78873481,78873483,83933731,97792761,92466612,92466611,258480962,78430380,71019404,71019403,62075346,62075347,258475404,71019440,71019335,58304110,58304109,71019333,71019337,71019341,84583662,84583641,71019273,71019272,84583639,78430375,78430374,74873458,74873430,74873431,62075322,62075323,258058446,40547500,31849408,24329610,24329609,31849406,40547497,50583396,62075351,74873469,71019410,58304192,46938148,37059687,37059686,46938146,46938154,58304199,71019423,71019320,58304099,46938043,37059604,28558769,21332810,15359968,13772742,13772743,19268593,21332770,21332769,28558704,37059527,46363933,46363932,46938023,37059579,37059580,46937956,37059644,37059548,33784138,33784139,42816696,46363936,256811901,28042309,20874380,20874379,255307928,39011628,48446508,48446485,38537853,38537855,48446487,53877325,53877326,257861973,53877329,65944966,53877575,48446457,38537813,29971690,29971691,25973821,25973820,33784069,42816640,46296851,46296850,43287533,34190458,26318605,19593144,19593143,26318601,34190454,43287527,53812582,43287529,43287528,46296834,46296832,53877551,53877561,43352536,256565123,31922049,31922018,31922020,40637813,50697079,62217248,61261021,49782237,49782236,257839283,42941258,42941259,43287171,43287172,53407844,53877426,53877425,62217236,50697061,50697060,53877598,53877596,43352613,43352614,53877620,60472507,53877480,43352440,43352441,42256306,42256307,43352580,34252588,26375447,26375446,34252584,43352577,53877588,61937107,50446350,40412398,31720625,24213370,24213371,31720629,40412407,43403910,43352599,43352600,53877613,65148817,65148818,65411921,257098058,43352422,43352636,52406842,42063164,33114267,33114266,42063161,34252624,34252623,256042674,44788769,35364560,35364559,255590154,34252609,34252607,43352601,42907229,33861657,33861655,42907226,43352631,43352630,42907299,42907300,50421800,40387640,31694496,24186125,17817484,12614935,12614936,17817487,24186131,31694506,40387653,50421816,53373617,50421803,40387643,31694498,31694497,269006507,40387631,50421791,61912029,61912056,256235970,53373671,43191945,255341034,33861680,26039913,26039914,33861682,42907262,53373624,53164447,43352605,34252611,268050736,40387677,31694523,24186141,17817491,12614939,8563002,8563003,12614942,17817496,24186152,31694540,26039970,26039971,33861758,42907314,53373654,53164425,42714659,33684556,30620742,26039920,26039919,26039929,26039928,33861702,33861695,26039925,26039926,33861698,42907271,53373630,62061988,269100331,40532955,40532956,49184722,39258910,30663029,30663028,33684626,25878106,25878104,33684622,33861766,42907326,53164168,53164167,42714418,33684340,33684339,31084783,23600800,17288237,12167162,8198662,5268988,3223704,1889620,1889619,3223701,5268983,8198652,12167142,17288201,23600749,31084691,39762872,49782162,52037338,52037339,41857663,32927331,25211632,18646729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8376953, s2 = 8260470, dlinesl.size( ) = 2 s1 = 8376953, s2 = 8260470, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8376953, Dl.E( ) = 24, 1.38e-05 seconds used appending s1 = 14209653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3558198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3795559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13634349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8539283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8539283, s2 = 10192674, int(edited[s2]) = 0 s1 = 8539283, s2 = 10192674, d1 = 80, d2 = 84 Dl.O(d1) = 91118252,91118253,105339478,257515906,106841230,260913629,140983907,140983908,262471165,272373247 Dl.O(d2) = 44773026,55681802,57620710,46276287,36423621,27965154,20802760,14908727,10251110,6735625,6735626,10251112,14908731,20802770,27965173,36423654,46276325,57620707,57620708,57621174,46276775,36424086,36424085,46276773,57621173,46277606,36424953,36424952,27968180,27968181,36427029,46276253,46276228,36423577,36423576,36506250,36423584,27965129,27965130,36423588,46276243,46276276,268597632,27965147,27965128,20802741,14908719,10251106,10251107,14908722,20802749,27965140,36423604,46276270,257330262,83836001,257330264,70505601,70311122,57620721,57620722,70311062,83835971,74238504,61459285,256267680,57620716,46276290,46276289,57620715,70311114,70311010,70311011,61459284,49981190,49981189,61459279,74238498,77271574,70311090,70311091,70311195,57620820,46276414,46276413,57620818,70311071,83835977,87717150,74111200,74111201,83835987,83835991,83835974,70311069,70311068,77384360,64234027,52378658,52378659,64234029,77384362,90452385,83836011,74521497,61739746,61739745,61328527,57620760,46276344,46276343,42035123,33087639,25355011,25355012,256635773,52378655,61739708,61739709,70311188,57620813,46276408,256112840,27965233,36423727,46276409,46276395,46276394,40242037,31556019,31556018,40242033,50261360,46276420,36423734,36423735,46276423,57620830,61739702,57620806,46276402,46276404,257993573,61739704,61739703,74521472,83836043,73292552,60549450,60549382,60549381,49150101,39223525,39223524,39223501,30625786,268241934,49150076,51903645,41603812,32700972,32700973,39223504,39223503,49150078,60549417,60549394,49150090,39223513,30625793,30625792,30625771,30625772,268241932,23203429,23203430,30625780,39223495,269840807,46496970,46496968,256804944,269299419,28156122,20977011,20977012,15065650,15065651,20977020,28156134,36630275,256618400,70554340,57852900,57852901,70554341,79384439,79384440,93521293,256240574,72226486,76595204,90453137,84090870,84090872,70554283,57852823,57852822,63837109,57852867,46496992,46496991,36630258,36630256,46496994,57852871,57852830,46496964,46496965,57852831,55008589,52022174,52022172,52022171,59138624,47739970,37817599,29252345,254906592,41711472,32795092,25095666,25095667,32795095,41711477,43419656,255193518,46496962,57852826,70554259,70554260,63837093,63837092,71876714,71876715,63837089,63837090,76944146,90819653,84090880,76944154,63837101,63837102,254648766,49839016,254443638,255259204,59138559,59138558,71876669,256104042,87590282,85461274,71876679,59138573,59138574,59138562,51191734,51191735,62841690,268289274,59138563,59138564,59138639,47739988,47739990,254294870,42184877,33224771,25476630,25476631,33224774,42184880,52269871,52269874,254639030,47739923,52312991,41972655,33029563,33029564,41930912,41930911,52269831,52543703,47739974,254639026,52269846,41930922,32990276,32990277,32990296,39713632,254639028,29686653,29686654,23554698,17245938,254639022,31036399,39713622,49732252,61210761,73989847,77266088,64118960,64118950,52269836,41930958,41930957,52269881,52269880,52269840,41930919,32990264,25266451,254437276,41930917,52269838,64118953,77266085,91185487,255642660,73989849,77266107,64118978,52269862,41930939,41930940,52269864,52269842,52269841,64118956,77266087,77266127,77266126,90269847,88258221,74627897,74627898,70535200,57833798,57833799,64118976,64118975,77266089,77266090,88258216,86600275,86600274,86600276,73002822,70535190,57833789,46478048,46478047,57833787,257172820,97944230,111880473,113397324,113397323,102256473,268138292,91517949,91517948,105741630,119976330,272201371,99396364,85455419,256618414,257172826,61835633,71870462,59132219,59132218,71870460,84071397,84071389,76439487,71870457,257172812,37811363,37811364,47733562,59132221,71870465,76439481,76439482,76439491,90269809,76439443,63395654,63395653,59132232,47733571,37811370,29246662,256367819,47733576,59132237,63395658,51652669,51652668,63395655,76439445,90269811,90269837,76439474,76439475,71870448,63395700,51652713,41411532,41411533,41411511,41411512,41411518,32552903,32552902,41411516,51652692,58322250,63395731,76439458,76439433,76439434,63395634,51652642,41411476,41411475,255639176,41411489,255240118,51652742,51652743,63395726,76439499,76439442,63395651,63395650,71037806,58322253,46955138,37074968,28571835,28571836,37074970,255639174,71037808,256099904,46955140,58322255,71037812,84601889,90269807,269485308,100632198,86660404,73055777,60315085,60315086,71037802,84601882,88131940,74519732,61738061,50259669,50259670,61738062,60516712,60516713,73262346,86874632,73989807,73989806,73989812,87590251,101552880,259625134,87590248,87590247,87590255,83833845,73989809,61210712,61210713,61210724,61210725,73989819,70308695,70308694,257993338,46273542,36420920,255781224,255781229,27962677,36420894,36420923,36420892,255781230,20800608,27962672,36420891,39713596,31036382,31036381,257044349,57618048,57618036,46273494,255237580,36420900,255636110,57618034,255636112,36420901,27962685,27962684,36420876,32520264 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7643986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3559921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8449860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8449860, s2 = 10350701, int(edited[s2]) = 0 s1 = 8449860, s2 = 10350701, d1 = 24, d2 = 33 Dl.O(d1) = 256016398,38237473,254850238,11242990,11242989,16175776,17816128,12613827,8562097,5559250,5559252,8562101,12613836,17816133,17249998,12131130,8161915,5232143,5232142,8161913,12131127,17249990,23559917,23560152,23560153,31042884,256431906,39401368,39401367,40386496,40386497,37596934,37596935,46691998,46691999,48372156,40035739,31355864,268901492,10320937,10320938,14989791,20893724,28064401,29703849,38269894,48179113,49219281,39292608,39292607,49219280,60619882,256342206,36808504,28311648,28311647,36808502,36808100,36808101,38269820,46692059,46691949,36808193,36808194,28919499,256234109,255339725,10001887,10001888,255339727,23862954,17518923,12353838,12353837,17518919,23862944,31356669,40035718,35302816,27183732,268255781,17518323,23862196,20260959,254984117,6572935,6572934,10001935,14536913,255757173,12353758,12353759,17518799,23862802,27183569,20260880,14536861,14536864,20260889,23862713,17518727,12353722,12353721,17518723,23861918,23861919,255865569,255627644,31356544,31356543,31356473,23862758,23862757,255984258,17518390,23862305,17519098,12353971,8346570,5387169,5387168,8346569,12353970,17519097,17518622,17518623,23862595,17518960,17518959,23152293,16891426,11820109,11820107,16891420,17518945,12353850,8346479,5387111,3312651,1948852,1113337,1113338,1948855,3312660,5387128,8346506,8346386,5387060,3312622,3312623,5387063,8346390,12353701,17518696,23862680,23862872,17518859,17518860,17518447,17518446,12353705,12353703,12353561,8346313,5387012,5387007,8346303,255175937,23862362,30773334,32967231,41906647,47182183,52483622,52483621,53124991,53124990,64353755,64353756,77518945,91448503 Dl.O(d2) = 257823469,65110777,257231209,33644730,25841349,19187574,19187573,25841347,33644725,42674055,53124950,65110768,78393757,261472871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8449860, s2 = 10350701, dlinesl.size( ) = 14 s1 = 3560268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3560268, s2 = 2744733, int(edited[s2]) = 0 s1 = 3560268, s2 = 2744733, d1 = 5, d2 = 4 Dl.O(d1) = 119927685 Dl.O(d2) = 79246017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3560268, s2 = 2744733, dlinesl.size( ) = 8 s1 = 10213665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10213665, s2 = 8699698, int(edited[s2]) = 0 s1 = 10213665, s2 = 8699698, d1 = 9, d2 = 5 Dl.O(d1) = 42162802,52520929,64394823,77563028,91493953,105718088,119953554,133821046,147066468,159442743,159442746,170783159,170783157,159442744,272986357,170783156,262473565,147066473,133821050,119953558,260871437,261974707,170783154,272702497,147066467,147066478,133821053,119953560,261439205 Dl.O(d2) = 170783156,262473565,147066473,261439203,133821047,261974705,170783156,262473565,147066473,133821050,119953558,260871437,261974707,170783154,272702497,147066467,147066478,147066476,159442748,159442744,272986357,170783156,262473565,147066473,133821050,119953558,260871437,261974707,170783154,272702497,147066467,147066478,133821053,119953560,105718092,105718093,119953562,261439207,119953563,133821056,147066480,159001942,146639326,133395925,259800024,91097113,77186380,64049331,52210608,41881273,32947304,25228394,18660101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10213665, s2 = 8699698, dlinesl.size( ) = 2 s1 = 10213665, s2 = 8699698, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10213665, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 3561329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3561329, s2 = 5684640, int(edited[s2]) = 0 s1 = 3561329, s2 = 5684640, d1 = 3, d2 = 43 Dl.O(d1) = 119957222 Dl.O(d2) = 231630078,274671881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6783174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6783174, s2 = 3797959, int(edited[s2]) = 0 s1 = 6783174, s2 = 3797959, d1 = 0, d2 = 0 Dl.O(d1) = 258405471,259659701,119959898,133827413,147072482,147072480 Dl.O(d2) = 258405471,259659701,119959898,133827413,147072482,147072480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6783174, s2 = 3797959, dlinesl.size( ) = 2 s1 = 6783174, s2 = 3797959, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6783174, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 6426594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6426594, s2 = 15254961, int(edited[s2]) = 0 s1 = 6426594, s2 = 15254961, d1 = 89, d2 = 139 Dl.O(d1) = 254215522,18871490,13447628,9195989,9195987,13447634,259660361 Dl.O(d2) = 234983811,234983810,235930754,236794045,236431679,274742392,238942469,239539067,240089845,274808632,266892876,266990444,242969874,243273265,267148786,243273263,242969872,242645080,242645079,242969870,267113518,267092051,242645076,274911134,267075324,241073790,274935821,242845889,242511221,242511222,242511223,242845892,243157459,243157454,267212731,242511217,242511218,242845885,243157455,243449725,267181496,242969881,243273271,242969883,242645094,267148544,267075328,241513275,267092049,241920529,242151441,242151440,242511223,242845892,243157459,243157454,242845882,267148540,242296626,267128649,242645093,267113520,266990016,239539069,266714126,266675885,237579797,237579794,236794041,235930750,234983809,233943488,274585524,265821392,264925540,264424886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6426594, s2 = 15254961, dlinesl.size( ) = 84 s1 = 8437160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8437160, s2 = 8068139, int(edited[s2]) = 0 s1 = 8437160, s2 = 8068139, d1 = 9, d2 = 37 Dl.O(d1) = 259033677,77582119,91513248,105737249,105737286,100773267,100773268,95180640,81122250,67655719,67655718,81122245,95180630,109436698,123630056,133838799,147083072,139084226,139084227,125743105,119972253,114825224,108655032,94367297,94367296,108655028,122919928,136751894,142084165,128725178,114825211,100773216,86792398,73179990,73179989,86792395,100773211,114825198,128725172,130402060,130402061,259808982,137362221,150403389,150403394,147081208,147081207,139694285,126319343,112453105,98462708,98462705,112453098,261440793,133839901,119973309,112453387,98463081,84540830,84540829,98462933,84540655,70977286,257430839,269309627,70977289,84540662,98462941,258205844,126319250,139694205,152420046,139694360,139694358,152420120,147083076,133838802,119971958,119971956,112453557,98463308,84541078,70977676,58261705,58261706,70977670,58728705,58728706,52537574,52537573,64411022 Dl.O(d2) = 15989700,11100092,7361278,7361279,7361291,11100085,11100084,15989685,21360225,15989820,15989819,21129446,22098861,22098862,29430455,37992508,37099171,37099172,28592157,28592158,29430272,22098760,22098761,29430298,30258212,30258214,38033305,29470520,22134697,16018770,11122187,7377111,7377110,11122179,16018753,22134676,29470486,30258183,29470267,22134541,22134540,29470262,29430800,22099126,15989855,11100180,7361326,7361324,7361276,4649852,4649851,7361275,11100089,15989695,22098870,29430349,22098796,15989658,11100071,11100072,15989662,22098803,29430355,37253713,28722806,21466593,15465584,15465585,21466595,28722808,37253715,47158518,38033016,38033015,37992638,29430467,28722784,21466577,21466578,28722787,37253696,47158471,47158526,37253722,28722823,28722822,29430353,256383388,34299488,34299489,37253709,28722804,28722803,255840398,30752225,256332184,37253753,28722847,28722848,37253755,37253676,28722757,21466555,21466556,22099035,29430661,23257431,255401228,11084562,11084563,11908932,15141879,254719193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8437160, s2 = 8068139, dlinesl.size( ) = 2 s1 = 8437160, s2 = 8068139, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8437160, Dl.E( ) = 44, 1.88e-05 seconds used appending s1 = 9460586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7025407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7025407, s2 = 2721021, int(edited[s2]) = 0 s1 = 7025407, s2 = 2721021, d1 = 28, d2 = 48 Dl.O(d1) = 261536330 Dl.O(d2) = 120191166,259674820,91795842,78044550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7025407, s2 = 2721021, dlinesl.size( ) = 2 s1 = 7025407, s2 = 2721021, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7025407, Dl.E( ) = 50, 1.62e-05 seconds used appending s1 = 8558873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360381, s2 = 9037258, int(edited[s2]) = 0 s1 = 10360381, s2 = 9037258, d1 = 81, d2 = 5 Dl.O(d1) = 266057386,265792754,229994814,265930678,223243229,220640942,265203512,261442401,133862921 Dl.O(d2) = 105765317,262396790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360381, s2 = 9037258, dlinesl.size( ) = 70 s1 = 9507847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9507847, s2 = 14134262, int(edited[s2]) = 0 s1 = 9507847, s2 = 14134262, d1 = 14, d2 = 13 Dl.O(d1) = 257082977,31519006,257082975,50226775,258274991,74490364,88102535,102089464,260733029,130055758,143386661,155927591,272377891,120084205,259666335,77734462,64551977 Dl.O(d2) = 256649707,18916865,13485805,9226545,267861471,3780378,6042531,9226551,8095573,8095570,5186829,3164387,3164391,5186866,6116432,6116429,9314459,13582559,9300236,6123925,6123927,3831554,3831550,2941824,1706057,969812,969809,1706045,2941799,3834485,3834481,6128747,9304136,9320338,6105365,6105368,9304204,6094757,3813259,2284228,1324950,1324948,2284223,3813248,6094732,9304157,9344207,6120448,6120449,9344214,9350427,6124540,3832001,3832003,6124605,9350512,13654925,11309268,7508386,7508387,8565616,5561796,3445928,2040346,1169258,656229,656230,1169263,2040355,3445948,3669195,3669194,5876582,9001425,9287692,9287691,13565168,13677666,12470072,8439327,8439326,12470070,17644152,13204351,9001398,9001397,13204349,18580884,25134641,22197350,16068389,16068390,16725632,22834642,22834641,30226319,38809107,269089252,257175864,13564469,9287282,9287281,13564479,19005913,24251195,24251196,25767852,29191471,25789159,19144244,13669556,9360817,9360816,255280737,16748339,16748340,22986303,30389137,31755191,40392514,31699834,24191686,24191685,23989491,17644319,17644323,23989496,24250776,19516974,13970731,13970732,19516976,26233135,23772948,23772947,30184029,22794314,17866211,12652088,8590222,5581820,5581819,8590218,12652078,8590549,254874925,8590617,5583488,3464170,2054426,1178724,661881,367002,367007,661905,1178754,2054495,3464311,5583727,8593670,12657720,17874361,24251921,256154597,19166046,19166047,25815301,33614903,33614902,42641514,53090652,65074084,78353245,65074082,65074083,78353246,92385375,106688308,120939726,262003773,262956407,181366863,190174385,197778625,204257706,264645865,209683524,264076800,214792147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9507847, s2 = 14134262, dlinesl.size( ) = 2 s1 = 9507847, s2 = 14134262, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9507847, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 3800964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3800964, s2 = 1668258, int(edited[s2]) = 0 s1 = 3800964, s2 = 1668258, d1 = 30, d2 = 1 Dl.O(d1) = 133942553 Dl.O(d2) = 42286539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3800964, s2 = 1668258, dlinesl.size( ) = 34 s1 = 10163945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10163945, s2 = 14165879, int(edited[s2]) = 0 s1 = 10163945, s2 = 14165879, d1 = 37, d2 = 39 Dl.O(d1) = 97955892,111893638,125711279,139050309,151429068,138733732,138733730,138733731,151429066,163307300,263053287,183826510,180976088,170856002,159527494,147168144,133945800,120103970,258063590,64575551,52675427,42289170,33309109,25547558,25547557,255407952,52675423,256872776,258063588,120103966,125413082,111614140,97695623,83838044,70313201,57622714,46278273,36425496,27966918,20804387,14910052,10252192,6736458,6736457,9542747,268158657,26127826,33966188,42730767,33700971,33700972,42730769,53180117,64578056,53733405,43221624,43221625,53733406,50533098,40497791,40497792,50533099,62024875,62024896,54648736,54648737,60353319,48956861,39034817,39034818,39034870,39034871,39034879,30445446,23037858,23037859,30445448,39034881,46329521,36474108,28013669,28013670,36474110,46329523,57676306,70367959,271283943,97749262,111668232,125469580,138797634,138797633,151498005,163380563,174232180,165654593,165654594,153876266,153876265,141202017,141202016,127841240,113962735,99939874,259339728,72386715 Dl.O(d2) = 185769375,194005903,201062354,201062355,205244904,207010929,205244906,198955356,198955355,191515673,191515674,182861931,172956688,161789068,149487776,136229427,122260925,122260924,136229426,149487774,161789066,172956684,182861928,182861932,172956689,263003173,149487777,261520531,122260926,107852329,93428356,93428355,107852328,107852332,93428357,79300162,65937057,65937058,79300164,93428359,107852333,107852334,259739701,79300167,65937060,53869837,43344970,43344969,53869834,65937054,79300160,93428354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10163945, s2 = 14165879, dlinesl.size( ) = 2 s1 = 10163945, s2 = 14165879, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10163945, Dl.E( ) = 40, 1.1e-05 seconds used appending s1 = 6534080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7672889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8558601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8378783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3566120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8049895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7617560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10241649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10241649, s2 = 6443956, int(edited[s2]) = 0 s1 = 10241649, s2 = 6443956, d1 = 64, d2 = 46 Dl.O(d1) = 181012506,170894050,261984320,133984619,259671716 Dl.O(d2) = 36974917,28477159,21258064,21258062,28477157,31463712,36622170,28148272,28148271,267932582,17155531,23431887,29190558,21878829,17395831,16801620,12259084,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,9767770,14208712,19834341,17555656,16082861,16082862,22214495,29559925,255537044,17577929,17577928,22879126,20958789,15049697,13516651,13515750,12381058,12381057,17551458,17554334,12383850,12383852,10556961,6962807,6962805,8385888,5411406,5411407,8385826,10950015,10950017,15802899,13180705,13180706,18550718,17550466,12380158,12380156,8601940,8383022,5409715,5409714,8383017,7679885,7679884,11543570,12263473,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,10386335,10386336,12263317,8281673,8281674,267763792,22087720,254496624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10241649, s2 = 6443956, dlinesl.size( ) = 2 s1 = 10241649, s2 = 6443956, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10241649, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 8142344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8142344, s2 = 9633386, int(edited[s2]) = 0 s1 = 8142344, s2 = 9633386, d1 = 5, d2 = 7 Dl.O(d1) = 257542809,29960305,22595685,16412495,11428221,7597004,4805572,2896279,1680673,955968,955967,1680671,2896275,4805566,7596987,11428196,16412460,16412458,22595658,29960277,38525756,269819623,52643286,257796041,52775420,42376528,37338086,37338085,41738533,32817579,32817580,41738535,37011338,37011337,36420017,27961853,20799873,20799875,255356459,14906397,18563541,15519521,10733387,7091726,7091725,10733385,15519518,21533979,28435550,36934379,31184413,31184412,28800170,21533969,15519513,15519514,21533972,28800174,37338107,47247974,39696861,31019821,25622105,25622106,33387744,42376486,36466793,28007955,255045014,9083558,9083557,13291255,9073872,5933883,4279410,4279407,6821751,8144426,8144428,6748415,5922067,3703069,3703067,2539952,2539949,4248476,5956036,5956037,6865340,6865339,6774657,6346680,6346676,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,5951918,9097202,13316550,13316520,13316519,17874499,24252070,31763850,40458249,50494219,52714983,52714982,42327759,33346373,25586405,25586406,33346375,42327764,52714979,52714985,42327761,42327762,52714987,64615278,52714988,52714989,64615280,77797843,91725625,105933124,120145212,133986534,133986532,133986533,147209070,159568065,159568066,147209067 Dl.O(d2) = 259795996,106165018,91966955,78039771,78039770,91966953,91966951,257319820,64842642,257919162,106165014,120367507,115884253,101839669,87867370,74265402,74265403,260118821,129782402,143112159,155663445,167295104,177789439,187063101,263972561,202047790,264813465,212644106,216557802,219803321,222542041,224893820,226935664,228715429,230281604,266144479,234058733,235091731,236031255,236885359,237661857,238366981,239009267,239600112,240146511,240189352,239644537,239056549,238416956,237715759,266617140,236097077,236097076,236944057,236943301,236096037,265906472,233017428,231774545,230391078,265056108,219988057,216767872,212882095,208130178,262375678,187496812,262844656,144649620,157048055,168496083,178802832,187905266,195841437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8142344, s2 = 9633386, dlinesl.size( ) = 2 s1 = 8142344, s2 = 9633386, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8142344, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9539345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3568205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3568636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3805085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13669293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13209357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13209357, s2 = 11310088, int(edited[s2]) = 0 s1 = 13209357, s2 = 11310088, d1 = 0, d2 = 1 Dl.O(d1) = 5726103,5624648,5624646,4904531,4904533,7744879,11626699,13586086,13586087,19033487,25652200,33420662,42411648,52813005,64728229,77918396,77918397,77918398,91841677,106039365,120244222,134079932,147296531,158683982,146316234 Dl.O(d2) = 268290053,32844161,41764096,268410624,72608370,77016403,63904839,258191294,13209366,13209364,18588070,18588069,13209332,13209334,11274592,11274591,13208090,13208088,9003940,5877864,5877854,3669678,3669680,5877690,3669630,3669632,5877699,9003620,13207970,16218906,22374466,29731762,31858280,256458798,260164121,130485929,143810482,156333042,262040270,258466314,256695620,256695622,257292504,40612748,270635688,88644398,258466312,76444223,63400269,269131164,260228855,132446488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13209357, s2 = 11310088, dlinesl.size( ) = 2 s1 = 13209357, s2 = 11310088, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13209357, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 9598477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9727742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1676018, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10174737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3806849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9037004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3571569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3572851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8429911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8429911, s2 = 10355772, int(edited[s2]) = 0 s1 = 8429911, s2 = 10355772, d1 = 0, d2 = 36 Dl.O(d1) = 13649413,13649414,259061827,106575377,120823612 Dl.O(d2) = 262038618,191387549,198835754,265661901,227664106,265808161,230829268,232159171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10237149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13327075, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9585853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9585853, s2 = 11342360, int(edited[s2]) = 0 s1 = 9585853, s2 = 11342360, d1 = 16, d2 = 0 Dl.O(d1) = 28910652,21636070,21636068,28910651,255481794,58744214 Dl.O(d2) = 1341715,2285196,3814805,2303273,1336615,1336617,2303283,3843970,254310510,19043635,19897483,14253792,9797210,9797211,14253793,19897486,257896177,271656200,123247664,137015680,150093191,148004358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9585853, s2 = 11342360, dlinesl.size( ) = 12 s1 = 3809153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8430055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8380345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8380345, s2 = 14293095, int(edited[s2]) = 0 s1 = 8380345, s2 = 14293095, d1 = 0, d2 = 6 Dl.O(d1) = 92297959,106596355,120845492,134643619,134643617,134643618 Dl.O(d2) = 163489943,262865798,260476033,111766236,125575391,134643616,272720171,97840534,97840535,111766234,125575389,138909037,260476033,97840536,83978396,258004867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8380345, s2 = 14293095, dlinesl.size( ) = 2 s1 = 8380345, s2 = 14293095, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8380345, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7707349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7707349, s2 = 10431845, int(edited[s2]) = 0 s1 = 7707349, s2 = 10431845, d1 = 79, d2 = 7 Dl.O(d1) = 273292490,120846462,259691831,78271747,78271746,78271736,64998106,269095635,33565327,255685943,255280309,25775812,33565325,42582468,53022854,64998101,78271754,92299046,92299031,78271743,64998091,64998092,78271745,92299036,106597387,120846457,134644540,134644547,120846465,106597391,92299040,78271749,64998097,53022850,53022841,42582462,42582463,53022844,64998086,64998106,269095635,33565327,255685943,254661061,254661063,13663487,19135329 Dl.O(d2) = 35237991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7707349, s2 = 10431845, dlinesl.size( ) = 2 s1 = 7707349, s2 = 10431845, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7707349, Dl.E( ) = 80, 3.79e-05 seconds used appending s1 = 3574504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3811103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711538, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6888847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7619321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3813174, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11659114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659280, s2 = 7065082, int(edited[s2]) = 0 s1 = 11659280, s2 = 7065082, d1 = 17, d2 = 11 Dl.O(d1) = 3827557,2293099,1330516,267749381,244696,135205,73502,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815465,3802366,2277524,2277023,2277026,3801468,2277028,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,3759541,4359102,3827554,3827555,6117530,254935127,17646384,254860507,5451581,254272973,1970273,3351358,5451582,8442379,12473015,17646387,23991280,31488460,40173533,50197111,61680221,53342895,42879253,42741097,42741098,50699526,42741084,42741083,53190621,65176226,67657063,81123757,95182153,109438013,121072848,134875144,147995775,160244369,171459309,181472650,190262617,197850518,204317659,209713437,214139373,217773787,220807591,223390889,225624427,227567060,229266538,230768804,232108363,233315498,234408994,235404411,266634717,238583357,239210761,238583360,266748226 Dl.O(d2) = 232906639,231653626,230259553,228690987,226909377,224864872,265511712,219766984,216518220,212601029,207807190,201991353,195076081,186992539,186992538,195076079,201991350,207807186,201991339,195076067,186992531,177712540,167214324,262086126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659280, s2 = 7065082, dlinesl.size( ) = 10 s1 = 9034189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3579604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3579988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3579988, s2 = 859346, int(edited[s2]) = 0 s1 = 3579988, s2 = 859346, d1 = 5, d2 = 38 Dl.O(d1) = 121145867 Dl.O(d2) = 256377129,22035841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3579988, s2 = 859346, dlinesl.size( ) = 8 s1 = 3755483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7016260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7016260, s2 = 1788431, int(edited[s2]) = 0 s1 = 7016260, s2 = 1788431, d1 = 162, d2 = 16 Dl.O(d1) = 261393706,134968727 Dl.O(d2) = 47023053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7016260, s2 = 1788431, dlinesl.size( ) = 2 s1 = 7016260, s2 = 1788431, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7016260, Dl.E( ) = 168, 5.89e-05 seconds used appending s1 = 8522925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8336619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8416528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3581787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2715857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9574568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7023071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7618357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3820078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2739165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352318, s2 = 8147596, int(edited[s2]) = 0 s1 = 10352318, s2 = 8147596, d1 = 88, d2 = 73 Dl.O(d1) = 269614048,451644,254497,254496,254116219,255317749,256728037,34678010,270050128,255683019,19094832,13669394,255280713,25788963,255682303,13625717,9330257,6111649,3823997,3823998,6111655,9330272,9303758,6094522,6094523,9303763,13587601,13616440,9323657,9323656,13587552,9303725,6094508,3813143,3813144,6094513,9303738,9304401,6094853,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,9171566,13413948,9171517,9171519,13413951,15707197,15707196,11772125,11772126,15707226,10873465,7189163,4529222,4529221,7189158,10873452,15707210,21763364,24191555,17822382,17822381,24191552,21640938,21640939,22558627,17900254,17900255,19035222,19035221,268497589,25796085,19150513,19150514,22432103,16264575,11308196,11308197,16264579,13562436,13562438,19003443,25610353,19066094,19066095,25338560,25134467,21597469,21597470,25620763,19006484,17874312,17874311,13565103,13565102,16268683,11502702,11502700,9316807,6103137,6103136,9316802,13606189,19031521,13584526,13584527,19031526,19105520,25601248,22432175,22432173,27213909,22413301,17253135,17253054,17253053,17253085,12133530,12133531,17253088,19153428,22078815,22078814,24246214,19009369,19009370,25623972,25623888,25607337,25607338,33372108,42361097,48208671,38298978,29731484,22374234,16218731,13205906,9003436,5877851 Dl.O(d2) = 50301063,46286990,256035144,255210478,10256364,6739512,6739511,10256361,14915809,20811640,27975172,36433982,34966929,26888139,26888138,34966928,34967979,267761986,14329401,14329402,9843623,9843622,14329487,12981562,254152422,15536519,15536520,21557001,28827726,255320890,23351745,30775483,268973945 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8276379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1415015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1415015, s2 = 13965879, int(edited[s2]) = 0 s1 = 1415015, s2 = 13965879, d1 = 122, d2 = 121 Dl.O(d1) = 36755088,28260012,28260011,36755087,46641102,48365858,39003641,30415631,30415610,30415609,33273280,42252707,272704391,123939628,259726512 Dl.O(d2) = 257546795,258779681,271855718,63124674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1415015, s2 = 13965879, dlinesl.size( ) = 18 s1 = 13884733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13884733, s2 = 14107656, int(edited[s2]) = 0 s1 = 13884733, s2 = 14107656, d1 = 23, d2 = 21 Dl.O(d1) = 220096726,220096727,222794777,225115697,227132517,227132521,228892664,230443760,266158549,231822127,231822128,233061565,234182004,234181993,234181994,234181988,234181987,235200598,236128281,236128286,236973206,236779671,235915429,235915430,236779673,236779668,235915425,274663830,233925206,234967210,234181999,234181998,235200610,235200609,236128293,236973214,237566252,266741239,238164121,237566243,236779653,236779652,237566241,238280125,238824181,274771785,236640196,235763787,234800450,233743963,232583326,232583325,233743959,234800442,235763774,236640176,266661455,238824172,238443506,237743739,236973216,236973215,266691907,237439013,236640182,236640183,236640174,236640175,266661453,266757411,238608676,237924872,237172706,237172703,236346922,236346921,237172701,266707849,274763959,236346930,237172712,237172705,236346923,235443171,234453005,266242096,230836904,229350946,227675583,227675582,229350945,229350954,227675595,225764349,223572399,221043072,218085802,214559630,264904831,218085801,218085811,218085810,214559636,210270059,205020676,198684821,273561678,172584339,161402794,149116003,135895639,121973583,107603629,107603630,121973584,135895641,261722172,98586956,98586955,93203093,79087905,79087904,65732231 Dl.O(d2) = 255401992,21327996,28552935,28650682,37167756,47059275,58434371,58447825,71170092,58447805,47070915,37177493,37177494,257443829,71170096,71012855,268919078,46931472,58297514,58297517,58297516,269313116,46931475,257433911,71012864,71170117,58447827,58447826,257443052,58297528,71012870,58447806,47070916,37177493,37177494,46931484,258044005,58447821,47070923,37177499,28658417,28658418,37177501,47070927,58447825,71170092,58447805,58447804,71170090,71012858,71012859,84577615,71170109,58447819,47070921,47070922,58297514,58297517,58297516,269313116,46931475,257433911,71012864,71170117,58447827,58447826,257443052,58297528,71012871,58447809,47070917,37177493,37177494,46931484,258044005,258678735,98503083,258053512,58297522,58297523,71012866,84577620,98503088,98668594,112664177,260526275,112664182,112664181,126515436,126515435,139880506,152589794,260591834,260416314,98668586,260526277,139891652,139891654,139891655,259991958,162608994,150484728,257515804,109528521,95273160,256393478,123720742,127633912,113765554,99751300,85797326,85797325,84402998,70845649,70845647,64082347,55408282,44560468,35182082,28092916,28092915,33011713,33011712,28388491,28388490,36885159,46763550,58131347,70845650,70845645,70845644,255897070,112295310,126155464,139530713,152262268,153649604,165430391,260591822,165430389,165430388,176112312,185576616,193835788,185576611,185576612,193835790,200916805,193835782,193835783,193835785,193835784,200916803,206891143,273716872,185576746,176112441,165430484,165430485,176112442,185576748,193835931,190168376,181359881,171331668,160105787,147852044,147852043,147852049,134726540,120928383,106675540,92371496,78338646,65059767,53077372,53077373,53077374,42629874,33605023,25807289,25807288,33605020,42629868,42629901,33605037,33605038,42629904,53077416,65059816,78338685,78338663,78338664,92371522,106675584,112981586,112981587,126836146,126836148,126836147,140185138,147852089,147852090,147852096,160105843,147852093,134726580,134726581,126836136,112981566,98991142,85064807,85064808,98991144,271779451,98991151,85064812,71492068,58761766,58761767,58761776,47374284,37467594,37467593,47374282,58761774,47374286,37467595,268925759,23569056,17257685,12137696,11577816,11577817,15616797,21650583,28927030,37467608,47374303,58761792,71492084,85064824,98991166,112981583,260067082,144263556,153642549,140975337,127625708,127625709,271334541,85788840,258124791,268942183,38153017,48065896,59457065,258748111,258214840,73232970,269366861,49082638,257590087,39152554,30554820,30554819,39152551,30554824,23137254,23137255,24283123,31797002,40491927,50527471,62019158,74815487,88447744,98824392,98824393,112815676,105902397,258837594,71373896,84950064,98876049,86846091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13884733, s2 = 14107656, dlinesl.size( ) = 2 s1 = 13884733, s2 = 14107656, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13884733, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 6891004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7667089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7214160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4035303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13158563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7057154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7057154, s2 = 11347548, int(edited[s2]) = 0 s1 = 7057154, s2 = 11347548, d1 = 55, d2 = 42 Dl.O(d1) = 261962632 Dl.O(d2) = 166044666,176684059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7057154, s2 = 11347548, dlinesl.size( ) = 2 s1 = 7057154, s2 = 11347548, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7057154, Dl.E( ) = 70, 1.79e-05 seconds used appending s1 = 13693591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3590735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3592527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3592527, s2 = 11463052, int(edited[s2]) = 0 s1 = 3592527, s2 = 11463052, d1 = 0, d2 = 124 Dl.O(d1) = 122257919 Dl.O(d2) = 274308967,209319637,203845242,203845241,264352699,197287030,189598874,180701392,180701393,189598876,197287033,203845234,209319633,213809957,217494325,217494348,217494320,213809954,264352703,203845234,209319633,213809957,217494325,213809971,213809972,217494308,217494307,265089649,223180953,265089653,217494308,217494307,265089649,223180953,265089653,217494308,217494307,265089649,223180953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3592527, s2 = 11463052, dlinesl.size( ) = 62 s1 = 3826333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3826333, s2 = 16322444, int(edited[s2]) = 0 s1 = 3826333, s2 = 16322444, d1 = 14, d2 = 24 Dl.O(d1) = 136252005 Dl.O(d2) = 183368550,183368549,191931631,263435632,273057838,137370784,123638668,123638667,137370782,150411668,162541397,262578349,150411673,137370785,123638669,109445349,95189294,81130977,67664124,55324195,55324194,67664123,81130976,81130979,67664126,55324198,44478038,35100984,268338465,9925951,6523571,4087439,2445358,2445356,4087437,6523570,267947567,4087363,4087362,254316345,2445281,254471761,9925738,254471757,2445273,1413841,804396,455856,455855,804394,254214925,254471755,9925698,6523623,4087484,254471763,2445283,1413847,254116737,254116735,1413843,2445277,4087329,4087374,4087341,2445288,1413854,1413853,2445286,1413911,804436,455876,256957,142344,142342,256954,455870,804423,804429,1413898,2445343,4087419,4087446,2445363,2445362,4087444,6523578,9925967,14430036,14429901,254690361,4087418,2445342,1413897,1413898,2445343,4087419,4087446,4087445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3826333, s2 = 16322444, dlinesl.size( ) = 2 s1 = 3826333, s2 = 16322444, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3826333, Dl.E( ) = 62, 3.79e-05 seconds used appending s1 = 9148440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3593325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3593773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3827533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7683233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7683233, s2 = 1225108, int(edited[s2]) = 0 s1 = 7683233, s2 = 1225108, d1 = 23, d2 = 17 Dl.O(d1) = 272439941,122361126,107933800,107933799,122361124,107933801 Dl.O(d2) = 30893330,268977079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7683233, s2 = 1225108, dlinesl.size( ) = 2 s1 = 7683233, s2 = 1225108, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7683233, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8665062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8665062, s2 = 14112352, int(edited[s2]) = 0 s1 = 8665062, s2 = 14112352, d1 = 38, d2 = 42 Dl.O(d1) = 272200187,113357656,113357657 Dl.O(d2) = 258895255,74456870,74456869,64385557,52511930,42154073,256127829,25449197,33194984,42154070,52511925,64385550,77553709,91484534,105708441,119943411,105708671,91484733,91484732,105708460,102059100,88073513,74461296,61678438,50195067,50195068,61678440,74461297,88073515,74465474,61682463,50199189,50199190,61682465,270389645,77553945,77553944,88077752,102063918,260134427,88077759,258272891,61682467,74465480,270907357,116121952,125462067,260275043,105708768,119943703,133810945,147057052,151491952,163375566,161919933,151492335,151492334,262122881,174228386,183897905,177993646,262352741,262352743,163375565,263056367,182956304,263416485,183897764,174228150,163375709,163375710,151492309,138790832,127216017,127216015,140561836,151492320,151492321,138791353,138790878,125462212,111659414,97738435,97738434,111659281,125461858,125461513,111658968,111658966,111659003,97738191,97738188,107945618,93508138,79371377,66003316,66003318,53932919,53932921,66003354,79371445,93508267,107945830,122372476,122372192,122372194,136356408,149622397,140561979,127216119,127216120,136356008,122371881,122371882,136356014,136356247,122372053,122372054,136356250,149622215,151492519,261047141,125461982,113357714,259344689,259344687,113357712,127216095,140561948,149622458,149622203,260960467,93508081,79371348,79371347,93508078,107945515,122372036,136356221,149622182,161919539,273711494,272901767,155757559,167390217,173071777,173071384,173071385,182956144,191589747,191589775,191589823,182956312,182956313,174228578,262687395,153243470,140561947,127216094,127216095,140561949,136356445,136356446,149622203,149622202,161919648,149622229,136356275,122372076,122372075,122372137,107945589,107945590,93508209,93508208,79371420,259113281,107945766,111659171,97738291,83879482,70354745,70354746,70354760,70354759,83879519,97738354,111659281,125461858,125461513,111658968,111658964,261047023,151491866,153243428,153243429,163376296,151492800,138791288,138791287,151492797,151492330,151492328,143205238,129875537,115977889,260722835,143205239,262122889,151492477,151492692,138791187,125462244,122371964,107945469,107945470,97738420,258620913,57664989,57664988,70354779,259865953,125462153,136356448,136356447,149622460,261600209,271750473,259247047,83879424,97738176,111658977,125461533,138790460,262122739,263056361,163376205,151492736,138791231,138791233,151492738,261600309,138790819,151491828,140561724,140561668,127215874,113357559,113357560,127215875,125461584,111659010,111659008,125461578,136356274,122372137,107945589,107945590,93508209,93508211,93508240,93508266,93508267,107945830,122372476,122372192,122372194,136356408,149622397,140561979,127216119,127216120,136356008,122371881,122371882,136356014,136355994,136355978,136355981,149621900,161919372,173071408,165061012,153243442,140561921,127216069,113357701,261140899,130191474,130191492,116353010,116353011,130191496,143520876,156057064,151491808,151491807,163375430,262610003,151492487,151492488,151492044,261047047,111659034,97738213,83879440,83879439,97738210,111659030,125461616,136356427,149622434,161919863,173071767,174228381,163375956,151492434,138790952,125461934,111659339,97738396,83879548,70354775,70354778,83879558,97738409,111659369,260467501,97738169,83879419,70354698,57664944,57664943,70354693,70354694,83879412,97738164,111658943,125461473,261600193,262060915,136356107,136356008,122371881,122371882,136356014,136355994,136355978,136355981,149621900,261600449,122371964,107945469,107945470,111659386,125462174,138791173,262345223,151492875,138791372,138791373,138791299,138791300,151492664,163376146,173071317,182956080,262610029,153243372,140561865,127216037,127216036,261690183,151491967,151491968,161920240,262555067,151491927,140561827,140561828,140561924,127216069,113357701,113357700,127216065,140561916,151491900,262554959,161919765,151492883,138791380,261600453,161919701,173071645,173071646,167662557,163375429,163375430,262610003,163375837,151492270,138790799,125461803,261047101,261047007,125461441,138790341,136356307,136356308,130031482,130031481,143363806,149622471,149622473,143363812,143363813,147057051,147057050,159435028,161919382,161919792,161919793,161919417,149621941,136356016,122371885,107945422,93508016,79371303,66003280,53932889,53932888,66003277,79371297,93508007,107945403,122371843,136355944,149621854,143363819,130031487,130031488,143363820,138791198,125462086,125462084,125462244,122371964,107945469,107945470,97738420,97738397,83879548,70354775,70354778,83879558,97738409,111659367,125461942,138790968,140561741,138790349,125461450,111658926,111658927,125461453,138790356,151491794,261527427,122371833,122371832,136355923,149621834,161919314,173071381,167662574,161919820,149622403,260960509,107945637,93508151,93508150,107945635,122372194,136356408,149622400,149621962,136356033,122371902,122371901,260363447,93508226,79371427,66003348,53932919,53932921,66003354,79371445,93508267,107945830,122372476,122372192,122372194,136356408,149622397,140561979,127216119,127216120,136356008,122371881,122371882,136356014,136355994,136355978,136355981,138791198,125462086,125462084,125462244,122371964,107945469,107945470,111659386,125462173,261600427,273044723,122372148,107945602,93508127,79371372,66003315,66003318,53932919,53932921,66003354,79371443,93508257,107945818,122372453,136356759,149622732,161920160,173072031,175791233,165061028,165061030,161920174,149622751,149622753,161920179,155906864,151492464,138790981,125461950,125461952,138790987,151492472,163375981,263056455,173072084,161920227,149622803,149622802,161920226,173072081,174228375,173071521,161919528,156057052,143520864,143520863,156057051,151492790,138791278,138791277,151492788,138791281,261600425,151492468,151492461,138791286,125462161,111659377,111659376,125462159,138791280,136356258,260363411,107945540,122372065,136356259,149622223,161919667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8665062, s2 = 14112352, dlinesl.size( ) = 22 s1 = 3056346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14320203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3595973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3596022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8315973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3830468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3830727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6892819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3831176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3831176, s2 = 8457290, int(edited[s2]) = 0 s1 = 3831176, s2 = 8457290, d1 = 16, d2 = 12 Dl.O(d1) = 136759383,122928247 Dl.O(d2) = 258171770,66892341,80320705,94376295,88436758,88436759,100544915,257575166,60251109,60251110,72986623,86583838,100544923,114575558,128459625,118038027,118038026,131863214,118038028,260808281,119232288,105040081,90861564,90861563,105040080,107084807,92744191,78680670,65375706,65375707,78680672,92744194,98795449,92368943,78336109,71292974,257209328,37265863,28733632,28733633,37265865,47171943,58560932,63512518,51734932,41466122,32589291,32589292,41466118,51734923,63512499,76591236,86415061,72819905,72819906,86415063,100371082,114394386,107616209,270332034,65742154,65742153,79098058,84085720,271289885,109354234,259985630,125714701,111897130,99433848,99433847,108654293,94366589,80310417,66881251,66881250,259133143,94366585,80310413,66881248,66881247,80310411,78336136,65057100,65057099,65057073,53074562,42627004,33602418,25805078,19158231,13680328,9368365,9368364,255281663,25805069,33602407,42626998,53074542,42626986,33602391,25805135,19158278,19158207,19158206,13680332,13680331,13680344,19158250,25805100,33602440,42627036,258002732,48602844,256813532,57732538,57732537,70427041,273084309,269778436,71071220,58354916,46985228,255398198,21361610 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3598304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13595881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13595881, s2 = 8524799, int(edited[s2]) = 0 s1 = 13595881, s2 = 8524799, d1 = 0, d2 = 38 Dl.O(d1) = 80338360,80338361,94392944,108680069,122945247,108680567,108680565,122945831 Dl.O(d2) = 273288353,183072799,173222046,173222048,262275603,141669827,128320164,114443591,114443590,128320162,141669823,149910742,149910740,136775463,136775462,149910752,162122469,262561985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3599493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9262725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6893361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8005583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8005583, s2 = 6876058, int(edited[s2]) = 0 s1 = 8005583, s2 = 6876058, d1 = 19, d2 = 11 Dl.O(d1) = 34670122,26676844,19859333,14228090,14228089,18521676,15865188,10996115,10996114,15865184,21957365,24468192,24468191,20801857,19878952,19878955,15865221,10996135,7279204,4669924,4669922,5776517,5776518,5776384,5776385,3599076,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786089,14235564,14235581,19869098,26688169,259767429 Dl.O(d2) = 259523722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8005583, s2 = 6876058, dlinesl.size( ) = 18 s1 = 3833749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10188387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3834808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3601881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1372258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4045520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4045520, s2 = 13570774, int(edited[s2]) = 0 s1 = 4045520, s2 = 13570774, d1 = 4, d2 = 3 Dl.O(d1) = 150297690,137257532 Dl.O(d2) = 67551833,81021408,256617532,95080453,81021409,81021408,95080449,256617530,258375238,133774368,119905672,105669907,105669909,119905674,133774370,147022324,147022309,133774359,119905667,105669901,91446486,77516751,257792944,257171926,91446493,77516754,77516755,91446494,105669906,119905670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4045520, s2 = 13570774, dlinesl.size( ) = 2 s1 = 4045520, s2 = 13570774, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4045520, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 3602795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3602813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6908030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659368, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9487691, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8333354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8333354, s2 = 8325346, int(edited[s2]) = 0 s1 = 8333354, s2 = 8325346, d1 = 54, d2 = 113 Dl.O(d1) = 258402672,113080191,99433476,85491892,71906896,71906895,259970281,87686527,259489799,260702343,142903956,271287168,112296538,98794949,84866704,84866702,98794944,108644313,94356265,85230564,85230562,94356274,108644326,115646798,126448392,112579616,98585684,98585685,86062939,85230904,71665749,71665748,258402558,140354605,256126726,123554424 Dl.O(d2) = 34007082,257397758,34643686,34643687,43916691,54659031,66915635,80341940,94396355,108683367,259257274,125627805,133799320,119930348,105693842,91468519,258006648,268600898,71099078,71099077,83862865,70337671,57647237,57647238,70337672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8363809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8363809, s2 = 11392526, int(edited[s2]) = 0 s1 = 8363809, s2 = 11392526, d1 = 45, d2 = 1 Dl.O(d1) = 101695646,259155958,55258506,256741199,20072350,255741813,256741203,55258510,67600192,81068373,95126573,109380798,123572277,123572276 Dl.O(d2) = 145224111,131990065,118172689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8363809, s2 = 11392526, dlinesl.size( ) = 42 s1 = 3837918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8565258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7648856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6894620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3839251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10187264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3607336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4049294, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6986043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6986043, s2 = 4958581, int(edited[s2]) = 0 s1 = 6986043, s2 = 4958581, d1 = 5, d2 = 10 Dl.O(d1) = 260993035,123632544,262086235 Dl.O(d2) = 199295421,199295420,205528673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6986043, s2 = 4958581, dlinesl.size( ) = 2 s1 = 6986043, s2 = 4958581, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6986043, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 3840668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3608359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104285, s2 = 16343578, int(edited[s2]) = 0 s1 = 14104285, s2 = 16343578, d1 = 7, d2 = 25 Dl.O(d1) = 261428435,272981414,261428438 Dl.O(d2) = 261460898,148956509,159764837,260299234,270534662,92981418,257222678,256149452,256149454,270049333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104285, s2 = 16343578, dlinesl.size( ) = 30 s1 = 10355828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355828, s2 = 8387454, int(edited[s2]) = 0 s1 = 10355828, s2 = 8387454, d1 = 28, d2 = 42 Dl.O(d1) = 272512032 Dl.O(d2) = 259790705,81155456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1021315, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9661827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3354084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3354084, s2 = 6506671, int(edited[s2]) = 0 s1 = 3354084, s2 = 6506671, d1 = 85, d2 = 108 Dl.O(d1) = 109479335,109479336,123671123 Dl.O(d2) = 259839846,97598335,271681786,111575066,97650180,97650179,111575065,123321657,109110433,94842405,257379004,67304972,80775052,94265887,87555395,259480745,107990966,94265870,94265869,108564200,122806163,108515047,94201806,80126805,257878575,54468373,66700573,80126808,94201808,94565231,94480966,94480967,256779542,94480936,80421067,66988233,54725998,54726000,54546389,43813270,43813266,54546348,44274650,34909971,34909970,44274648,55114728,67451843,79629648,78907001,65572061,53547312,43068258,43068259,49699105,39686278,39686279,49699108,61172120,66755556,66755557,66755542,66755543,80181430,259757297,108130803,93738130,79625433,66236413,54107844,43521095,34376589,34376590,43521099,54107848,258488749,87412793,90677972,90677973,77362839,64215355,64215354,77362835,91282852,103700447,89584745,75802326,62838123,258333915,89584744,103700446,117854810,260448992,108873287,94597480,94597481,108873288,115359648,115359649,123115666,123115665,123316675,123316676,136872758,123047775,108785007,94496824,94496823,101279907,91858853,79623746,66663728,66663729,80086560,94158537,80543382,80543381,94602254,89584470,89584469,94099951,80543342,67094619,54803872,44028022,34729109,26719994,19891022,19891023,26719997,34729116,44028033,54803901,67094670,80444010,270637751,108784963,94496753,258613694,80439155,94496748,108784959,272078571,123049999,260977953,108907813,94637068,89584483,75802071,62837973,51187854,51187855,62837974,75802072,89584486,259126605,80086557,94164722,108484681,108451558,94122470,80038533,80038534,94122472,101426353,87452062,73841423,73841422,87452060,101426352,257371762,270249156,270856784,118834353,104656553,90494736,76636518,259616719,118834351,118994305,132823229,129268871,129268870,117854684,103700299,89584558,89584555,89584545,89584546,103700292,103700441,103700442,117854804,117474235,105504772,105504773,103345530,103345529,93736941,79624157,67009764,67009765,80443901,67009727,54742322,43989793,34707909,26709176,26709175,34707904,32238808,24640819,18184683,18184684,24640825,32238822,41031392,51187947,62838117,75802317,80827333,80827334,87398064,80204447,66885739,59299684,54628093,54628092,55012257,66396213,66396216,79798903,79798907,79573731,79573729,73156165,66393337,66393335,79799748,93902549,99250771,99250772,109312410,95057769,95057772,85250410,85250407,71690649,58962312,58957462,52481250,52481251,58959155,48436371,48436374,59822367,71686703,58959572,58959567,71686721,75490592,75490591,67328988,67328987,75490662,75490664,80200212,80200211,94264499,94038317,79957291,66548839,54353333,43684410,34473043,26526476,19747970,14150560,14150558,19747866,19741647,14147547,14147546,19741694,26513911,34448668,34491221,34814243,30954719,23503470,17212372,17207319,17207320,19901334,14256499,9798923,6441243,6441241,9798946,14256567,19901504,26502107,30143417,30143414,26505286,19737724,19737728,26505367,34433221,34813136,26773623,254702204,14270393,19924201,255354384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3354084, s2 = 6506671, dlinesl.size( ) = 26 s1 = 7007002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14162984, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2090107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3843234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3843234, s2 = 14165898, int(edited[s2]) = 0 s1 = 3843234, s2 = 14165898, d1 = 22, d2 = 20 Dl.O(d1) = 137451670,123723577,109531614,95276682,258538767,67752719,259167851,109531619,123723585,123723598 Dl.O(d2) = 53209864,47071253,47071254,51370095,63051461,255121648,86697964,74859093,62060410,50567898,40531286,40531285,50567897,40531288,40531287,31833624,24315114,17929247,12703739,8630931,5612429,5612428,268006039,17929244,22961816,16725690,11683412,7790846,254805323,16725691,22961817,30363335,38949460,48869144,38949456,38949455,48869141,60262048,72997633,72997632,86595310,90453208,91959677,78032219,78032220,91959679,78032221,67710243,67710242,81175659,76595298,76595297,90453216,88192539,259331916,88192536,102184279,102504677,100368204,257393252,95231500,81175661,67710246,55370406,44524120,35147498,27061766,20167878,20167879,27061768,35147496,44524119,55370404,63387167,51644482,41403945,41403943,51644479,63387166,76430903,78331125,76430948,63387207,63387163,63387164,256992538,68072516,81562407,68072530,55673613,55673614,68072532,60205561,60205532,254550054,30300332,30300333,38886174,48808505,59904466,48958180,39036361,30447041,30447040,39036359,30447071,28985165,28985167,37529576,37370156,28830155,21559271,21559272,28830157,32995875,25271630,18699533,18699534,24377636,31862792,24468199,18048295,12794484,8698583,5661978,3521437,2094911,1249527,1205157,679926,378747,378590,207922,207923,378519,667770,667769,668107,1189006,2070453,2173491,3637406,5829305,8931157,13104575,18447625,24966500,32636358,29713186,22357685,16205625,16205626,22357686,29713188,38279725,36869762,36869763,46749101,58117706,46749104,46749103,58117710,57968627,57968628,51370104,51370105,63051470,76034935,89812607,258912964,91307215,91307214,105525299,119759038,128873311,119759072,105525329,100917321,86935660,73325679,73325680,270874021,88102300,102089201,116146735,119759005,113735589,113735588,105525347,105525300,91307215,91307214,260265705,133629087,261965903,262925651,262823337,167518541,166774690,155077749,143358758,130026004,116116580,116116579,130026013,129059483,115131718,101057151,87061449,73444017,73444018,87061452,101057157,88073263,88073264,102058859,116116567,130025996,143358746,262352353,155902328,167518534,177990870,177990871,187239224,187239225,187239228,195290845,187239232,187239231,195290854,194772353,186653411,177990877,167518539,261845719,143358742,130025989,130025990,143358744,155902326,263011019,173174372,162071909,149857734,149857735,162071911,173174375,173174373,173174374,162071915,149857740,136714909,122882573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3843234, s2 = 14165898, dlinesl.size( ) = 16 s1 = 3474534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3612347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3612347, s2 = 14047741, int(edited[s2]) = 0 s1 = 3612347, s2 = 14047741, d1 = 31, d2 = 41 Dl.O(d1) = 123766306,137490974,150521635,162641556,263036101,192005636,199365534,199365533,199365532,205592417,199365525,192005628,183450228,183450229,192005630,263807335,205592424,205592418,205592419,199365535,199365534,199365533,192005634,183450231,173663456,162641555,162641556,173663457,183450234,263807337,264428151,205592414,205592415,264690927,210743172,205592421,199365531,192005633,192005632,183450231,173663456,173663455,183450226,183450227,192005626,192005637,263807335,205592424,205592418,205592419,199365535,199365534,199365520,192005624,192005623 Dl.O(d2) = 65983346,53915678,43391012,34291373,26415388,19679344,14108036,254886332,5856074,3655517,3655516,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,8954129,254903991,255031938,15377798,21354600,21354601,254442490,9136348,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593182,254963618,21967619,15873745,14442527,11003885,8699395,5662509,5662513,5856036,5675921,5675927,8699456,12795691,10665833,10665832,15428403,21418974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3612347, s2 = 14047741, dlinesl.size( ) = 2 s1 = 3612347, s2 = 14047741, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3612347, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 6821495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6821495, s2 = 1327079, int(edited[s2]) = 0 s1 = 6821495, s2 = 1327079, d1 = 37, d2 = 62 Dl.O(d1) = 258864104 Dl.O(d2) = 254655599,13548025,18985480,25595209,33355747,42337020,52724216,64624432,77806915,91734593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6821495, s2 = 1327079, dlinesl.size( ) = 22 s1 = 3357647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9527444, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6689357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6689357, s2 = 10356426, int(edited[s2]) = 0 s1 = 6689357, s2 = 10356426, d1 = 18, d2 = 46 Dl.O(d1) = 257400318,95528144,109737949,123883581 Dl.O(d2) = 173694615,183476707,262622164,183476705,184091946,184091945,192546094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6689357, s2 = 10356426, dlinesl.size( ) = 38 s1 = 4054326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4054326, s2 = 14650680, int(edited[s2]) = 0 s1 = 4054326, s2 = 14650680, d1 = 42, d2 = 67 Dl.O(d1) = 150576102,137571469 Dl.O(d2) = 259803919 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9700522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10237970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10237970, s2 = 14912383, int(edited[s2]) = 0 s1 = 10237970, s2 = 14912383, d1 = 40, d2 = 0 Dl.O(d1) = 273502645,273299135,272467760,272467758,123935676,109799799,259179954,55675752,258679506 Dl.O(d2) = 3063853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10237970, s2 = 14912383, dlinesl.size( ) = 2 s1 = 10237970, s2 = 14912383, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10237970, Dl.E( ) = 42, 3.1e-05 seconds used appending s1 = 8532180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8532180, s2 = 948552, int(edited[s2]) = 0 s1 = 8532180, s2 = 948552, d1 = 42, d2 = 13 Dl.O(d1) = 261008065,109812146,123949586,109812144,109812143,123949583,123949581,109812141,95608902,258552105,68085098,81574971,95608900,109812140,123949575,109812138,95608899,95608900,109812140,123949575 Dl.O(d2) = 24005583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8532180, s2 = 948552, dlinesl.size( ) = 2 s1 = 8532180, s2 = 948552, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8532180, Dl.E( ) = 44, 1.41e-05 seconds used appending s1 = 6987388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6987388, s2 = 3080813, int(edited[s2]) = 0 s1 = 6987388, s2 = 3080813, d1 = 66, d2 = 26 Dl.O(d1) = 261008144,137629905,123951007,109813374 Dl.O(d2) = 95597112,259444478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6987388, s2 = 3080813, dlinesl.size( ) = 42 s1 = 9709233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3615856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3615944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9178236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6896582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6896582, s2 = 7257999, int(edited[s2]) = 0 s1 = 6896582, s2 = 7257999, d1 = 9, d2 = 15 Dl.O(d1) = 259808935,123977250,137659320,150657065,150657066,162753266 Dl.O(d2) = 192069150,192069159,273642484,205642176,210788637,264648150,221354004,223841669,225997616,227878060,229530028,230997490,232312570,233500456,234579150,235561347,236455970,237272632,238016095,238692776,239313446,239884730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896582, s2 = 7257999, dlinesl.size( ) = 2 s1 = 6896582, s2 = 7257999, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6896582, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 3848506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3617023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7674763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7674763, s2 = 9731971, int(edited[s2]) = 0 s1 = 7674763, s2 = 9731971, d1 = 20, d2 = 24 Dl.O(d1) = 272102016 Dl.O(d2) = 14950197,256809029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7674763, s2 = 9731971, dlinesl.size( ) = 18 s1 = 3618014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2072687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3805712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8604167, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10352893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352893, s2 = 7744921, int(edited[s2]) = 0 s1 = 10352893, s2 = 7744921, d1 = 7, d2 = 7 Dl.O(d1) = 97698656,111617026,125415774,261597473,274259123 Dl.O(d2) = 97698656,111617026,125415774,261597473,274259123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352893, s2 = 7744921, dlinesl.size( ) = 2 s1 = 10352893, s2 = 7744921, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10352893, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8171624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7003901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7003901, s2 = 11414252, int(edited[s2]) = 0 s1 = 7003901, s2 = 11414252, d1 = 71, d2 = 132 Dl.O(d1) = 261219182 Dl.O(d2) = 263525524,273680118,201909037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003901, s2 = 11414252, dlinesl.size( ) = 12 s1 = 13165739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13658345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3622761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3622761, s2 = 8476682, int(edited[s2]) = 0 s1 = 3622761, s2 = 8476682, d1 = 2, d2 = 3 Dl.O(d1) = 125474793 Dl.O(d2) = 125474797,111673823,260295974,57681520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3622761, s2 = 8476682, dlinesl.size( ) = 20 s1 = 3622946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9221014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341823, s2 = 11075676, int(edited[s2]) = 0 s1 = 10341823, s2 = 11075676, d1 = 195, d2 = 150 Dl.O(d1) = 256484048,17113656,254826301,5180517,254826299,12363798,268441183,21628463,28903049,32996627,25272347,18700224,18700225,17335429,12209782,12209783,16519374,14607284,10051271,6604771,4137378,2474744,2474743,4137375,6604767,9401099,6159240,6159239,9401093,13724068,19213722,15051282,10377440,6838001,4290424,2565124,1477100,835175,835173,1477069,2565053,4290301,6837770,6106938,6106939,9322902,13615282,14939001,11269396,11269393,258135305,270842799,113886109,125500394 Dl.O(d2) = 259959250,87962647,74360421,61583920,50104020,257656345,50104021,50104022,257480532,47989237,47989238,59031593,48012005,38101393,38101394,29537789,255454593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341823, s2 = 11075676, dlinesl.size( ) = 54 s1 = 6897972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3854262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7067295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7067295, s2 = 11370621, int(edited[s2]) = 0 s1 = 7067295, s2 = 11370621, d1 = 102, d2 = 45 Dl.O(d1) = 262125219,125510493,111704235,97782115,83923594,258623777,57703487,46354216,36496389,28033675,255361143,14963777,14963778,20865886,14963780,10296240,6769152,6769151,10296090,10297326,14963690,10296098,10296097,14963689,255786461,36496288,257389021,70397415,258920154,68126767,68126766,77134107,64004527,52172282,52172284,64004536,257733946,103649306,117798175,131622729,260813244,144868861,261382210,144868864,144868863 Dl.O(d2) = 259675808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7067295, s2 = 11370621, dlinesl.size( ) = 30 s1 = 6898032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8637910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13413521, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3854776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3854776, s2 = 9029577, int(edited[s2]) = 0 s1 = 3854776, s2 = 9029577, d1 = 21, d2 = 32 Dl.O(d1) = 138853337 Dl.O(d2) = 258624567,270635829 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10211942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3371286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6898354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6898354, s2 = 7225768, int(edited[s2]) = 0 s1 = 6898354, s2 = 7225768, d1 = 13, d2 = 17 Dl.O(d1) = 259871735 Dl.O(d2) = 264243319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6898354, s2 = 7225768, dlinesl.size( ) = 14 s1 = 13675563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13313499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3855937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9184986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3856212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3856904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14964114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14964114, s2 = 3857407, int(edited[s2]) = 0 s1 = 14964114, s2 = 3857407, d1 = 0, d2 = 0 Dl.O(d1) = 25083681,18539621,18539623,25083685,32781092,38789346,48711507,59095923,268444980,38789656,38790357,30205658,30204924,22813392,22813391,28252445,28252446,31159499,39842270,49865303,60107629,254864062,38790593,48712504,48712505,60106988,48712509,38790596,30205913,22814279,16595838,11574436,11574437,255497121,30205914,38240662,29675865,22324867,22324864,29675844,37264444,28732227,28732226,28818167,22813868,16595495,11574197,7704054,7704053,11574194,16595492,17895106,12675764,12675765,255594659,30206122,22814442,16595945,11574499,7704240,7704239,11574497,15125911,10432869,6878017,4317476,4317477,6878020,10432875,15125921,11574586,7704296,7704297,11574589,16596070,22324903,22324905,22813914,30205528,30205832,28091221,20917128,15011074,10340564,10340565,15011076,15125929,10432879,6878022,6878021,10432877,15125923,21057797,20917129,20917130,28091223,36561183,46425370,57780341,70480613,84014572,97883431,111815802,125630049,138968309,151673158,262618729,184052795,192509561,193212075,184870018,175317428,164553410,152715634,140020944,126667777,112810728,98819439,84892227,71318244,59892410,48498332,38583480,38583479,46405535,36544134,28076238,28076236,36544128,46405524,57756325,47193568,37285038,37285035,47193554,58584927,48496828 Dl.O(d2) = 25083681,18539621,18539623,25083685,32781092,38789346,48711507,59095923,268444980,38789656,38790357,30205658,30204924,22813392,22813391,28252445,28252446,31159499,39842270,49865303,60107629,254864062,38790593,48712504,48712505,60106988,48712509,38790596,30205913,22814279,16595838,11574436,11574437,255497121,30205914,38240662,29675865,22324867,22324864,29675844,37264444,28732227,28732226,28818167,22813868,16595495,11574197,7704054,7704053,11574194,16595492,17895106,12675764,12675765,255594659,30206122,22814442,16595945,11574499,7704240,7704239,11574497,15125911,10432869,6878017,4317476,4317477,6878020,10432875,15125921,11574586,7704296,7704297,11574589,16596070,22324903,22324905,22813914,30205528,30205832,28091221,20917128,15011074,10340564,10340565,15011076,15125929,10432879,6878022,6878021,10432877,15125923,21057797,20917129,20917130,28091223,36561183,46425370,57780341,70480613,84014572,97883431,111815802,125630049,138968309,151673158,262618729,184052795,192509561,193212075,184870018,175317428,164553410,152715634,140020944,126667777,112810728,98819439,84892227,71318244,59892410,48498332,38583480,38583479,46405535,36544134,28076238,28076236,36544128,46405524,57756325,47193568,37285038,37285035,47193554,58584927,48496828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14964114, s2 = 3857407, dlinesl.size( ) = 2 s1 = 14964114, s2 = 3857407, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14964114, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6898871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6995263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6995263, s2 = 10301783, int(edited[s2]) = 0 s1 = 6995263, s2 = 10301783, d1 = 38, d2 = 59 Dl.O(d1) = 261121142,125632954 Dl.O(d2) = 274767917,235603533,266575499,237308988,236495161,274722194,234624897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6995263, s2 = 10301783, dlinesl.size( ) = 26 s1 = 8568785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8568785, s2 = 11527414, int(edited[s2]) = 0 s1 = 8568785, s2 = 11527414, d1 = 1, d2 = 69 Dl.O(d1) = 46446635 Dl.O(d2) = 229095621,265924212,227374030,225405775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8568785, s2 = 11527414, dlinesl.size( ) = 40 s1 = 3627919, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3628302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9668975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9668975, s2 = 13772380, int(edited[s2]) = 0 s1 = 9668975, s2 = 13772380, d1 = 3, d2 = 5 Dl.O(d1) = 10451444,10451445,15154647,21097810,28307522,36804423,46688534,58061722,70779482,84338309,98245549,112223744,126079597,139450337,152174353,164052115,174869898,259276640,200093993,206180811,211209956,215325829,218723670,221589642,263479426,226183770,264950310,230617914,265162788,225408221,265469064,220525845,217447813,213758476,209262848,203782933,197218945,189523409,180618083,170480400,262304086,133509116,119637619,260672408,91179994,77261460,64114663,52265787,41927239,32986945,25263663,18692295,13299138,254642505,5927437,4282991,2560673,1474696,833909,470118,264258,146294,254073859,24482,24481,44040,80408,146287,264253,470111,833893,1474667,254325149,6826830,10363489,14120511,14120510,19693727,26431704,21617005,21617006,20821907,14924083,14924082,20821906,27986714,36446104,268292272,70334708,57844301,46488143,36621553,36621552,46488142,48125365,46488133,36621550,36621551,46488134,57844296,70546377,84083465,97957318,111895009,261064717 Dl.O(d2) = 111895015,125712551,139051509,151753449,139051507,139051508,139051503,272577448,125712543,111895011,97957320,84083466,84083465,97957319,260485591,261064719,139051512,151753452,262624331,174465158,184114301,192565545,199838297,264449341,211068135,215221732,218642980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9668975, s2 = 13772380, dlinesl.size( ) = 2 s1 = 9668975, s2 = 13772380, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9668975, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 3860072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4256649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4256649, s2 = 13307406, int(edited[s2]) = 0 s1 = 4256649, s2 = 13307406, d1 = 1, d2 = 1 Dl.O(d1) = 163633037,151757839,139055951,125717012,125717013,139055952,139055950,125717012,125717013,139055953,151757841,163633033,163633034,163633036,163633035,174469379,184118438,192569380,199841716,205988885,211070930,264946129,219584123,264981802,207514936,201643239,194666529,186520595,177173943,166601669,154902061,142268100,128916512,115014384,100960062,86975805,73364454,60619876,49219269,39292596,30695129,23279905,23279904,30695128,37789167,37789169,256365967,256498971,31050973,268934567,29227254,29227253,37789196,29227255,21911210,15829204,15829205,21911212,29227260,37789203,37789171,29227233,29227235,37789143,37789144,47710167,57872163,47710175,47710174,37789179,37789178,37298458,37298457,47205274,47710192,47710169,37789145,29227216,21911185,255801102,15829190,15080984,10402195,6857110,6857109,10402192,256288191,36652477,46519503,52527397,42169314,42169313,46519507,257405821,46516264,46519499,36652473,28176714,20995202,15080981,15080980,20995201,256288193,42259283,52644893,64544087,71847095,85432932,259268484,77569121,64400865,64400864,62408041,50826115,50826116,269912441,89034143,260177237,112084302,98123831,84228383,70674857,57955947,57955946,70573508,57874988,46519497,36652472,36652471,46519495,50681247,40623811,40623810,50681245,257406940,46519488,36652466,36652465,46519483,57874970,70575804,84112024,70575827,57874996,46519506,36652481,268907137,46519493,57874982,61202727,49723813,49723812,57874979,46519492,46519491,57874978 Dl.O(d2) = 163633037,151757839,139055951,125717012,125717013,139055952,139055950,125717012,125717013,139055953,151757841,163633033,163633034,163633036,163633035,174469379,184118438,192569380,199841716,205988885,211070930,264946129,219584123,264981802,207514936,201643239,194666529,186520595,177173943,166601669,154902061,142268100,128916512,115014384,100960062,86975805,73364454,60619876,49219269,39292596,30695129,23279905,23279904,30695128,37789167,37789169,256365967,256498971,31050973,268934567,29227254,29227253,37789196,29227255,21911210,15829204,15829205,21911212,29227260,37789203,37789171,29227233,29227235,37789143,37789144,47710167,57872163,47710175,47710174,37789179,37789178,37298458,37298457,47205274,47710192,47710169,37789145,29227216,21911185,255801102,15829190,15080984,10402195,6857110,6857109,10402192,256288191,36652477,46519503,52527397,42169314,42169313,46519507,257405821,46516264,46519499,36652473,28176714,20995202,15080981,15080980,20995201,256288193,42259283,52644893,64544087,71847095,85432932,259268484,77569121,64400865,64400864,62408041,50826115,50826116,269912441,89034143,260177237,112084302,98123831,84228383,70674857,57955947,57955946,70573508,57874988,46519497,36652472,36652471,46519495,50681247,40623811,40623810,50681245,257406940,46519488,36652466,36652465,46519483,57874970,70575804,84112024,70575827,57874996,46519506,36652481,268907137,46519493,57874982,61202727,49723813,49723812,57874979,46519492,46519491,57874978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4256649, s2 = 13307406, dlinesl.size( ) = 2 s1 = 4256649, s2 = 13307406, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4256649, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 3860295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13580521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8633728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3632950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3103274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8553566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8553566, s2 = 864308, int(edited[s2]) = 0 s1 = 8553566, s2 = 864308, d1 = 6, d2 = 24 Dl.O(d1) = 152046547 Dl.O(d2) = 37851665,37654263,29104949,21806560,20110891,14422083,9920537,6520118,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995833,9756519,9756522,13638797,10603511,6996270,4396822,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634479,4396356,4083947,2443461,2443457,4083926,4085758,4084380,2443697,1413015,1413016,2443678,4084348,6518651,6569968,6521043,6521041,8720536,9916520,6516979,6516977,4396323,4396324,6995476,10602671,10681812,10681815,12850982,12850983,9916283,6516805,6516803,6994750,6569497,6569498,4405346,4395847,4084139,4084144,4396070,4396075,6995091,10602121,6995049,4396052,4396051,6995046,10602115,14422799,9921268,9921269,9919440,9919441,6993757,6993756,10600452,10606487,9412312,6166742,6166743,9412313,13738766,12715503,12715502,9126041,9126040,7622176,7622177,255105063,9125794,5971717,5971716,6529999,4091604,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,1296634,2235688,2235687,3734112,4913872,2962054,1717812,976152,976157,1717827,2962080,4091912,3734199,3734203,5971261,9123376,13351107,9505741,9123742,8842218,5762537,5762536,8842215,6163193,6163192,5968984,5968983,6530223,6530222,9935745,14443235,16026217,22144777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8553566, s2 = 864308, dlinesl.size( ) = 2 s1 = 8553566, s2 = 864308, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8553566, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 6796634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796634, s2 = 4365044, int(edited[s2]) = 0 s1 = 6796634, s2 = 4365044, d1 = 44, d2 = 16 Dl.O(d1) = 258625360 Dl.O(d2) = 169136688 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10222054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14197803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14197803, s2 = 16113002, int(edited[s2]) = 0 s1 = 14197803, s2 = 16113002, d1 = 31, d2 = 133 Dl.O(d1) = 111763993 Dl.O(d2) = 17970830,24366627,31894854,40603878,50653942,50653944,50653943,62162965,74974594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14197803, s2 = 16113002, dlinesl.size( ) = 64 s1 = 2802055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344389, s2 = 11199780, int(edited[s2]) = 0 s1 = 10344389, s2 = 11199780, d1 = 67, d2 = 5 Dl.O(d1) = 268329879,9758070,6416137,4025327,4025247,2412187,1396176,794293,794291,1396162,2412145,4025173,6415854,9757549,14193899,19815252,25132260,32837335,34671196,34671197,43945431,41758698,37696842,30104720,22723156,16517990 Dl.O(d2) = 62064702,50572101,256559007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10344389, s2 = 11199780, dlinesl.size( ) = 56 s1 = 13543889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3866064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3866064, s2 = 4261377, int(edited[s2]) = 0 s1 = 3866064, s2 = 4261377, d1 = 6, d2 = 10 Dl.O(d1) = 139498372 Dl.O(d2) = 164116033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3866064, s2 = 4261377, dlinesl.size( ) = 2 s1 = 3866064, s2 = 4261377, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3866064, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 9350066, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10195165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6951724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3637054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3637695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13672523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3867912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3859574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4074774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8442675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8442675, s2 = 3788812, int(edited[s2]) = 0 s1 = 8442675, s2 = 3788812, d1 = 117, d2 = 105 Dl.O(d1) = 126174627,126174626 Dl.O(d2) = 133498250,273239316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7136639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7136639, s2 = 10352008, int(edited[s2]) = 0 s1 = 7136639, s2 = 10352008, d1 = 12, d2 = 9 Dl.O(d1) = 263083476 Dl.O(d2) = 258656444,74687743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7136639, s2 = 10352008, dlinesl.size( ) = 14 s1 = 3639188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3639188, s2 = 8102829, int(edited[s2]) = 0 s1 = 3639188, s2 = 8102829, d1 = 4, d2 = 8 Dl.O(d1) = 126181052 Dl.O(d2) = 11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,12483855,12483858,17654729,23249661,28942651,28854408,25458539,25458538,33205972,25460794,18860729,18860728,25460793,33208556,255855468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3639188, s2 = 8102829, dlinesl.size( ) = 2 s1 = 3639188, s2 = 8102829, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3639188, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 3639345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14887004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352898, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7206030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7206030, s2 = 7853635, int(edited[s2]) = 0 s1 = 7206030, s2 = 7853635, d1 = 14, d2 = 18 Dl.O(d1) = 263984206 Dl.O(d2) = 116182409,102125084,268914070,40246235,31559884,31559885,255387644,257246511,26426023,19688509,14116226,9711696,9711697,13389432,9153414,5990452,5990454,9153396,9150434,5988274,3744418,2241407,1299692,741669,741671,1299661,1343321,1344007,1344009,1344224,1344225,1344235,1344232,2318576,2341487,2341653,2341655,2330951,2330953,2386121,3890057,6214990,254945163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7206030, s2 = 7853635, dlinesl.size( ) = 20 s1 = 9734966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9739265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9739265, s2 = 14165255, int(edited[s2]) = 0 s1 = 9739265, s2 = 14165255, d1 = 5, d2 = 1 Dl.O(d1) = 2318580,2341499,2341275,2341277,3910221,6246190,9523110,13880919,19404137,26093486,33926690,42980125,53454224,65474019,78804081,92910223,107314954,121696057,135640074,148888607,161203742,172412018,182369501,191076864,194430652,261409468,154532053,141887282,141887281,154532052,166258484,176865092,175016241,164201497,164201496,164201498,164201493,164201491,164201492,164201499,152319179,139590717,126216698,126216697,260507819,98375258,84466236,70910001,58197298,46831272,36953169,28452813,21225950,21225951,28452814,36953171,37143051,28629529,28629528,37143049,47031641,58403804,58403806,47031644,268613608,21391044,15406472,15406473,21391046,28629532,37143057,47031651,58403815,270809498,84685890,98610674,112605843,126474712,126474711,139846200,262172011,139846195,139846196,152559809,164418668,262311218,164418662,152559804,139846191,139846192,261255250,175203027,262784650,200302698,273737668,215463413,218847165,217736838,214095784 Dl.O(d2) = 204255662,197776323,190171791,181363838,171336095,160110505,261470725,120934713,106683112,92380216,78348122,65069259,53086462,42638037,33612065,25812999,19164247,13684893,9371682,6138783,3840783,2301159,1335289,762634,433834,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,433911,762739,762622,762620,763130,1334896,1358874,1350026,1350027,2329276,3840780,3840781,6138781,9371681,13684891,19164245,25812998,33612063,42638035,53086460,65069258,78348120,92380215,106683109,106683107,106683108,120934712,134732054,134732055,147856972,160110502,171336092,181363837,190171789,197776322,204029881,197510561,189853990,180974711,170854480,159525840,147166452,133943989,120102139,105890720,91683859,77756877,64574316,52674176,52674175,47320398,47320397,58709337,47838831,47838830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739265, s2 = 14165255, dlinesl.size( ) = 2 s1 = 9739265, s2 = 14165255, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9739265, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 3870544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8606357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8606357, s2 = 8566248, int(edited[s2]) = 0 s1 = 8606357, s2 = 8566248, d1 = 42, d2 = 32 Dl.O(d1) = 15133721,15133723,258022479,257919118,112147775,260408478,261562568,163906595,163906587,163906586,174717681,260284702,164228315,164228314,173642984,163906587,163906588,259668842,139634913,126264051,112400942,98411709,84490076,84490077,257799144,259041898,152355675,152355673,162617461,163906592,152042529,152042527,261446826,180983135,170863695,170863694,261446824 Dl.O(d2) = 152042524,152042523,163906580,164228317,152355675,152355673,162617461,163906592,163906593,259668842,139634913,126264051,112400942,98411709,84490076,84490077,98411710,112400946,126264055,139634920,152355673,162617461,163906592,163906593,259668842,139634913,126264051,112400942,98411709,84490076,255670814 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9664275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9664275, s2 = 3641688, int(edited[s2]) = 0 s1 = 9664275, s2 = 3641688, d1 = 20, d2 = 0 Dl.O(d1) = 258660707,98413503,112402649,126265593,139636258,262159083,263086689,263847549,184629524,263847547,193008636,184629527,175035389,164229608,261824156 Dl.O(d2) = 126265590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9664275, s2 = 3641688, dlinesl.size( ) = 10 s1 = 6455962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3871469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9675296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9675296, s2 = 15924772, int(edited[s2]) = 0 s1 = 9675296, s2 = 15924772, d1 = 30, d2 = 18 Dl.O(d1) = 29292765,29292764,35068286,30224344,255381902,7711801,7711802,11585915,16611197,22832340,30224362,38807431,37351687,37351688,38487304,29926581,22566463,22566462,29926579,38487298,48390461,41315695,32470173,32470172,41315689,47759068,48390364,38487202,38487203,35220551,35220549,37351607,47261054,37351731,28813041,21545049,15528043,10739414,7095675,7095677,10739424,15528061,21545082,28813112,25858208,25858209,29926517,29926518,38487225,37836687,29270540,29270539,37836683,37351754,28813061,21545057,21545056,28813055,24744904,24744903,32361342,41177212,38487290,38487291,48390456,59773541,48390479,47047206,37156381,37156383,47047212,58422079,71143745,71388145,71190870,58469087,58469086,60767951,49365265,39436162,30831900,30831901,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,15433486,10669498,7046764,4435038,4435037,7046757,10669486,15433463,21425481,28673128,37195437,47091247,47805314,47805315,52091217,41777702,32857136,25150254,25150255,32857142,30406350,23001216,23001214,30406344,32857057,41777639,32857088,32857083,32857084,32856946,25150120,25150118,28144140,20965907,15056230,15056228,15056234,20965897,20965953,20965952,28144219,28144223,28144224,36618079,38370234,41777567,47091037,37195380,28673097,21425499,15433472,15433441,15433442,21425436,21984473,15888505,15888507,21984480,22430953,16263603,11307622,7507456,7507455,11307617,11307642,16263655,22431039,29797580,38370303,32856889,32856888,29797467,22430968,255093539,11307630,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888578,21196343,21196342,21984468,21984467,21984602,15888575,11014170,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467910,12049405,12049404,17145060,22342336,254812416,19074061,257064979,31303789,23816852,17481913,17481912,23816851,255763732,49995065,61472546,49995064,39978758,31303789,23816850,23816851,255763734,49995065,257334956,49995064,256552674,37443191,28903745,254875388,17199128,12094351,8133508,8133507,12094348,10782964,10782967,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,6743956,4225856,2526808,1456278,1456276,2526804,4225845,6743934,268062077,27987521,36446693,35406304,32781457,28919922,28919923,27288391,24224426,20345071,20345070,27280581,254756272,30111302,22731058,16525849,254482378,27988025,33628221,25826255,21619071,15588901,15588902,15600759,10792452,10792451,15600751,14605681,14605680,10275337,10275339,14940112,16776887,11729869,11729870,16776891,14597825,10044596,6600853,6600849,10044553,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766467,4766472,7534972,10046923,6602198,6602197,5826654,5826653,8927407,13099451,16515352,21618513,21618512,28894401,24999436,20291671,19008593,19008594,14958921,12208943,8240252,5312330,3262048,3262047,5312328,8240249,12208937,17334362,14933362,14933363,17499464,17499465,20931094,15023143,10351022,6815768,6815739,4275046,4275045,5210771,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956105,5921824,5921825,9057586,9102251,9072093,9072092,13289267,18682084,24252051,21181258,21181257,15251753,254724317,4360636,4360638,6939121,10521912,15251762,21220924,28447088,29242696,21923332,15837756,10975094,7264253,4581098,2756142,1597712,1597714,267827901,7264259,10975105,15442379,21437095,28687185,32647725,24976200,18455987,18455988,24976201,32647727,255278030,22754260,22754259,30140064,30460422,23052639,16806685,16543043,11529758,7670000,4852963,2924416,1696404,964620,964619,1696399,2924403,4852938,7669961,11529628,16542827,22753972,30139742,38719310,48637190,60030142,72767127,86364151,100324004,114351012,128229943,261755423,139648977,126278642,112415611,98427030,98427029 Dl.O(d2) = 258037479,58224499,70941636,84505524,259908063,112415615,126278644,129710078,115811490,101765523,87792858,257030516,49930486,255535144,23753355,17427387,267839746,5351533,5351532,4689702,4689703,7421273,11184760,9178768,6007621,4405176,4405175,254730997,15368519,21343427,28571519,37074592,46954723,48063974,48063975,52502391,46954611,37074416,37074417,46954612,256857161,37074379,37074377,28571301,21343359,15368475,10618853,7007761,7007760,10618850,15368472,10618865,10618866,15368498,21343391,28571477,33184640,25439415,25439414,28571352,28571353,256022088,37074504,28571429,21343354,21343355,28571295,21343251,15368405,255398181,28571290,28571341,21343282,21343281,21343351,15368466,15368465,21343350,28571422,37074276,37074549,28571473,28571474,37074551,46954606,46954498,37074303,37074296,37074297,40284610,46954695,37074535,28571449,28571450,28571442,28571443,37074526,46954686,40284594,37074538,37074539,256839996,36869285,35115326,35115325,44492256,55338241,67677775,58117368,46748672,40284597,39751356,31073709,31073710,39751358,256301280,28372528,23590437,23590432,23590431,28571228,21343201,21343200,18288562,18288563,24766109,256499604,28336681,28336682,256837397,58087493,46954726,46954727,58321649,58321648,58321655,46954488,37074294,28571225,28571223,37074292,46954484,58321644,71037276,84601429,71514216,71514219,78453607,78453608,92490917,92490909,78453633,259072195,92490941,257802760,65170746,65170745,65170707,53185961,42736781,33707233,25900960,25900959,33707230,42736776,40014565,31336243,23844282,17503246,12341939,12341940,17503247,23844285,31336247,40014570,42739812,33710198,25903778,256160119,33710486,33710487,42740123,42736683,33707125,25900859,25900858,19242609,13748556,13748557,254955410,25876776,25876775,33683036,42712942,53162600,65146945,78428951,92465112,106770829,95182950,81124509,67657701,55317975,55317974,67657699,81124506,95182936,95182935,81124510,81124498,67657693,67657696,81124501,95182939,109438917,260401289,95182960,81124520,67657714,55317985,44471855,44471856,55317987,67657715,81124515,95182954,81291838,270664125,109438937,109438936,259788419,81124531,257911103,55317992,67657719,81124528,81124521,81124522,95182962,95182953,81124511,67657703,55317976,44471848,35094985,35094986,35249734,27151370,27151369,35249731,257324255,258543789,81124519,95182957,109438931,109438950,95182982,258531633,67657729,67657705,258531625,44471839,35094979,27008602,20240745,20240746,27151313,35249662,44634032,44633995,44633996,44471873,44471872,55318013,67657742,67825636,67657737,55318008,44471868,44471869,55318010,269641551,55484090,44634008,35249639,27151300,20240736,14524078,9993651,6567999,6567998,9993649,14524077,20240734,27151296,35249633,35249699,44634078,55484153,67825666,259172637,67825689,55484184,44634118,35249739,27151372,20240777,255755795,20240756,14524093,9993656,6568001,4114519,4114521,6568002,9993657,14524095,20240760,27151335,35249690,44634063,44634016,35249647,35249648,44634018,55484098,44634128,269196707,55484106,44634024,35249653,35249654,44634026,55484107,67825631,67825647,81291866,81291884,81291883,95348391,81291905,67825705,55484201,44634137,35249747,35249746,44634134,55484191,55484192,55484193,44634211,35249807,35249806,44634207,55484252,67825751,81291946,95348387,259799813,81291880,95348389,109601093,95348363,81291855,67825624,55484103,55484104,67825626,81291858,95348366,109601095,109601106,95348383,81291876,67825753,55484253,257923521,55484260,67825757,259799827,123789387,137511746,150540672,150540673,162659486,162659484,150540671,137511706,123789340,109601117,259172639,81291903,95348409,259799815,95348396,109601074,273134918,95348394,261003137,109601070,95348336,81291831,81291830,259799803,109601078,109601077,123789305,123789294,261003135,150540670,150540665,150540664,273060605,262586697,175147755,175147754,175147757,262167855,139766838,139766839,139766814,126391439,112521011,98526265,84601472,71037330,58321717,258046113,84601474,98526268,112521008,98526261,98526262,112521010,126391438,126391459,126391458,260518309,112521015,126391444,126391461,112521032,98526282,84601480,71037333,58321719,58321718,258670357,98526274,112521019,126391449,139766827,126839268,112985201,112985202,261673715,262747087,273533557,139766836,126391454,112521023,112521024,126391434,112521006,112521005,112520999,112520998,126391421,114388928,114388927,128265193,141615787,261636748,114388881,114388880,114388879,109343476,95089344,95089345,100365615,86409531,72814480,258794067,86409538,72814534,60077159,48680835,48680837,60077161,72814491,60077135,60077136,72814493,86409549,100365633,86409554,86409555,100365638,260635091,100365617,86409533,86409532,258170517,48680820,257561451,72814487,86409542,100365627,114388889,114388923,114388922,126391499,114388894,100365642,86409580,72814522,72814521,81031176,67562000,55218400,55218399,67561998,258033300,100365669,260035051,114388874,101744244,87771253,74166620,67561989,67561990,81031164,258033298,49905605,39884806,39884805,44367289,256844826,81031166,87973804,87973781,87973783,87973776,74371879,61595624,50115922,50115921,60077142,72814506,72814503,60077141,48680823,48680824,40095537,40095538,50115936,61595642,61595621,50115928,50115927,61595619,50115917,50115916,61595617,74371872,61595620,50115941,40095541,31415669,23925812,17584412,12411736,12411737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9675296, s2 = 15924772, dlinesl.size( ) = 22 s1 = 3642782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3642782, s2 = 174901, int(edited[s2]) = 0 s1 = 3642782, s2 = 174901, d1 = 10, d2 = 39 Dl.O(d1) = 126282155 Dl.O(d2) = 4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1685341,958251,958250,1685333,2905402,4821347,7620209,11272817,11272815,11452923,9118519,5966326,3730926,2233672,1295318,1295317,2233665,3730911,5966296,9118464,11417581,11610528,16642640,22870657,22892258,16662633,16662632,255481985,16418672,11435772,7603709,4810418,4810419,7603710,11435774,255394675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3642782, s2 = 174901, dlinesl.size( ) = 20 s1 = 11659676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3643864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3117373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7033487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7033487, s2 = 11169816, int(edited[s2]) = 0 s1 = 7033487, s2 = 11169816, d1 = 35, d2 = 3 Dl.O(d1) = 261647595 Dl.O(d2) = 23078225,27069381,27055762,255332885,254978875,256224201,255563548,16826121,16826122,23078224,255332885,6540306,4097605,2451307,1417231,806309,806310,267782971 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9197861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9197861, s2 = 8082633, int(edited[s2]) = 0 s1 = 9197861, s2 = 8082633, d1 = 2, d2 = 9 Dl.O(d1) = 19811866,19811865,26622091,28052170,20883330,20883323,14980778,10312871,6783522,254708015,14980780,14980774,14980773,20883314,28052151,36516655,257391425,37751224,29189724,21877737,15802179,15802180,21877740,29189729,22362332,16209100,16209101,22362335,29718481,38285083,32617512,24951615,18435709,13095069,254901975,8923828,13095071,18435712,24951618,256607905,256341356,43915841,43915842,43915843,46692286,46692285,52013359,41701984,41701983,46924231,258667475,98492960,112484920,126352685,126393155,112522831,112484919,98492959,98492960,112484921,126352686,261096823,112522836,98528293,84603769,71039999,71039998,84603766,98528287,112522830,112522832,261096823,112522836,98528293,98528292,112522834,126393157 Dl.O(d2) = 152489051,164356326,164327151,152454242,259948360,98492959,98492960,112484921,112522835,98528293,84603769,71039999,58324650,46957507,257779956,35086579,32752786,25060740,18522127,13160474,8970516,5856113,3655529,3655530,5856035,5856032,8970258,8970260,12776003,8684347,5651227,5651228,8684350,255212349,12858252,12858251,18133418,15442157,10676004,10676003,9392693,6153354,6153356,9392696,13713471,17955955,18502928,13145692,13145693,14415792,14415793,15431144,10667880,7045627,7045626,254471394,11388470,11388469,10822695,7152472,4504199,254507737,10822735,11004597,254975832,21352582,15376280,12113003,8144499,8144501,12113010,13221257,13427473,18846024,25442745,21968223,21968222,17989287,17989286,18753248,13352531,9124650,7284497,4593829,2763712,2763713,4593832,254498114,10657717,10657715,15417681,21405198,28647137,27156840,20245176,14527384,14527385,15874210,11003019,11003020,14542027,13917367,13917366,15874516,21968221,29294986,37864260,256200820,16124413,16124411,16490345,11489444,11489443,16490339,14192408,14192409,16124795,16124793,22266017,18851946,18851947,22691174,16490148,16490149,22691185,30070656,30070655,30070804,30070803,256719574,33195927,33195928,37131782,30070731,30070728,38646457,42155206,38646435,30070710,30070711,22691169,16490140,16490139,22691164,30070746,26657180,22691235,22691233,30070835,38646582,41696470,34097243,26234618,19518218,13971755,13971756,19518221,26234621,34097251,41721981,43178425,38646967,38646968,43181872,51751937,41482056,32603688,32603690,30071021,30071022,30070794,22691203,22691202,30070791,25449966,18851984,18851985,25449969,33196010,42155302,38646890,30071120,22691499,16490363,16490364,22691504,22691522,26970525,20084781,20084784,26970539,35051850,43834641,34561796,34561797,38646942,38646940,38647055,38646724,30070971,30070970,32801913,38647104,30071304,30071303,30070896,30070897,38646654,34097261,34097259,41482062,41482061,51751942,48562011,255104798,52037134,41721874,32801903,25100238,18551837,13181613,13181612,18551830,25100228,32801880,31289277,31289276,23803013,23803012,23802972,17469931,17469932,23802976,31289322,39964340,39964382,39964381,48483453,48483454,48562406,59954610,48562418,48562417,41746042,41746041,42062173,42062172,43181851,43181853,41721851,39964427,39964429,42155286,33196000,33195999,38570009,48483640,39964256,31289227,23802934,23802937,29998888,22629718,22629719,29998896,34561547,43834445,54579663,63878826,52060276,52060275,48678279,48678278,39964235,39964236,48678246,38756686,38756687,48678251,59875726,49980817,49980819,46212659,36382244,36382243,31289247,23802943,22295481,22295482,29647563,38214155,39964441,36382185,36382183,42767922,33738132,33738131,42767916,48483463,38570789,38570785,48484241,46809472,36931176,36931175,46809466,36931182,36931181,39964175,32825395,25121177,18569627,13195887,13195886,18569621,25121163,32825372,41746103,52060246,255925428,256423378,59081726,255925468,36382322,36382323,46212806,57528146,63878815,59081660,47681694,47681693,59081642,49980750,49980748,41898589,37759687,29198184,21885872,21885874,29198191,37759698,46212864,57528190,48877556,38958155,30372107,22970557,22970555,30372095,38958138,257578231,48877466,38957980,30371891,30371890,30372144,22970582,22970580,30372133,30372134,30373695,38958935,38958934,38958724,30372721,22971015,16734916,11692041,11692040,16734909,22971004,22970739,16734734,16734735,22970724,30372360,38958383,30372550,22970870,22970869,30372539,22971259,22971258,30373002,30373342,29682245,22970688,16734714,11691927,7797988,7797989,11691946,16734748,16184441,16184440,22330718,22330793,29682298,30372920,30373609,30372581,30372582,30373638,22971921,22971922,22970608,22970609,22970796,22970798,30372413,22970764,16734755,16734756,22970768,30372423,22971593,16735297,16735296,22971587,22971860,22971057,22971056,18880723,13454830,9201234,9201236,13454838,18880738,25483290,30372171,22970591,22970590,30372166,30372265,30372267,30372772,30372771,22971107,16734979,16734608,11691871,7797948,4945094,2984634,2984632,2984695,2984694,4945226,7798215,11692378,11692132,7798086,7798088,11692139,11692201,11692202,16735197,11692190,7798111,7798110,11692182,11692336,11692337,16735473,22971542,22971544,30372072,22970616,22970615,22970896,16734874,11692022,7798031,7798034,11692031,16734892,22970976,30372663,30373511,22971826,22971827,30373126,22971380,16735153,16735152,16734544,16734543,22970398,22971884,22970452,16734579,16734581,16735554,11692390,11692387,16735550,16734853,16734855,16735091,16735090,22971276,16735355,11692267,7798156,4945197,2984681,1732849,1732850,2984687,4945210,7798191,11692346,16735488,22970546,22970545,28762330,28762331,30371931,30373713,30372620,22970938,22970937,28762283,28762282,28762268,28762269,30373108,22971366,16735144,16735143,22971360,22970659,16734698,16734699,16735120,16735119,22971315,16735430,11692308,11692310,16735438,18570385,25122061,32826238,38959180,30373483,30373484,38959261,48877596,47203339,268653735,30372247,22971557,22971555,30373281,30373302,30373248,22971508,16735244,16735243,21502604,21502605,22971739,22971693,16735377,11692277,11692275,16735373,22971686,24314523,18570013,13196131,8995873,8995872,13196126,18570005,24034896,31537724,32825826,32825827,28762233,21502548,15495091,15495092,21502551,28762240,32825548,31832790,31832791,38327972,38327978,38959056,48878139,39013330,39013331,48936523,52060141,41746556,32825800,25121553,18569945,18569946,25121208,18570582,18570583,18569719,13195944,13195936,13195870,8995749,8056475,8056477,12002634,13195863,13195862,18569582,13196055,8995840,8995839,12703372,8630696,5612261,3485904,2070097,2070098,3485908,5612266,8630710,12703398,8996086,8995939,8995940,12703278,12703279,17928568,24034921,24034919,25121532,25121349,24314256,17928632,17928631,18570503,13196461,13196463,255597955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9197861, s2 = 8082633, dlinesl.size( ) = 8 s1 = 3875860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3875882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10209100, s2 = 9673069, int(edited[s2]) = 0 s1 = 10209100, s2 = 9673069, d1 = 33, d2 = 27 Dl.O(d1) = 268015058,12779068,18029234,19823328,254963938,4026238,254212917,794489,450155,267750033,267869565,255728001,34624601,257287405,66897034,271296494,112554018,126423638,258653880,98560139,112554014,98560143,84636614,84636612,98560139,112554013,126423637,126423638,126423639,126423643,112554016,112554015,126423641,139797098,260501976,126423636,126423637,126423638,126423639,126423643,112554016,98560140,98560141,259280570,126423646,259899932,152514679,261081028,152514680,139797112,139797111,271763994,139797106,139797109,126423648,126423649,126423651,126423643,126423642,139797096,152514673,139797108,139797107,261081026,164378882,164378879,152514672,152514673,139797108,126423647,112554020,98560144,84636615,84636613,98560141,112554017,98560149,258653882,112554022,98560146,84636616,71073731,58357487,58357488,71073732,84636618,98560148,112554024,126423653,139797113,152514682,261632906,184743216,193103844,194508696,194508695,200278609,206338214,211348667 Dl.O(d2) = 265180515,215587838,211508894,206517154,200477224,193325025,184991304,175447720,164690057,272536745,112956233,98966790,85041671,85041672,98966792,112956235,261121427,112956228,98966775,85041653,85041654,94353757,80297338,258502971,54610108,54610107,53811759,43286667,34189636,26317886,255033946,14038082,19592554,26317888,19592578,14038104,9652039,9652041,14038107,10678040,7053310,7053309,9652013,6346461,6346462,8686806,5653159,3515069,2090446,1202371,1202372,267804573,5653166,8686816,12779068,255605251,18029233,24445803,32005396,24445804,19823328,19823327,26635073,34624588,43896536,54639576,66897029,61487102,50008956,39990990,39990991,50008957,59671968,48284771,48284770,55448829,44599516,35218752,35218753,44599519,50008974,39991007,31314334,23825262,17488160,17488159,23825260,31314328,39990998,47177603,37271717,28739473,21481838,21481839,20221018,20221019,27125533,35218750,28633069,21393961,15408815,10650775,10650777,15408820,21393968,28633080,37102820,37102821,40143830,31460607,31460606,39372549,37719522,29159664,28226893,28226891,34624599,26635081,19823335,14199834,9761222,6417886,4026240,2412680,1396447,794489,794488,745589,423579,239020,239021,423581,744646,744647,1304933,2249367,1306269,1306268,267811453,1942293,1109486,1109487,1942295,2470647,2411180,1395278,793516,449384,449385,252891,139680,139675,252883,449380,793509,795992,795994,794111,794112,1273313,1273314,729022,415088,234550,234548,415086,729019,1274641,2194388,2411585,2411584,254269785,1109492,254185245,3302318,254294999,1272658,727468,413923,413924,727472,1272667,1275258,1271911,726841,413430,233428,233429,413434,726849,802630,455147,256485,256484,414366,414367,728158,802628,1275152,1272770,1271534,726550,413212,233276,233273,413207,254083599,139941,253266,449859,464350,261341,144802,132268,71910,39004,21500,21501,39009,71918,132280,239288,144017,140756,140755,132354,71961,39029,39030,71966,42169,23278,23277,42166,77382,77876,42452,42451,77873,142096,256578,455262,426061,254095323,140135,254083629,267750033,254212919,254466051,254963943,19823333,26635079,34624598,40315978,40315979,37964582,29400050,256379681,47883237,38918135,30331658,22930750,16696232,16696235,22930758,30331672,38918154,30500348,30500349,39096338,49025317,60428923,64179878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10209100, s2 = 9673069, dlinesl.size( ) = 2 s1 = 10209100, s2 = 9673069, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10209100, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 15054719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054719, s2 = 11301019, int(edited[s2]) = 0 s1 = 15054719, s2 = 11301019, d1 = 1, d2 = 3 Dl.O(d1) = 57781385 Dl.O(d2) = 112561422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054719, s2 = 11301019, dlinesl.size( ) = 2 s1 = 15054719, s2 = 11301019, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15054719, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8121587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8121587, s2 = 7076467, int(edited[s2]) = 0 s1 = 8121587, s2 = 7076467, d1 = 46, d2 = 53 Dl.O(d1) = 255693682,41387836,41387837,51613896,48662441,38741025,30158527,30158524,38741032,37114223,28604841,21370976,15390650,10636366,10636367,15390653,21370979,28604848,259919019 Dl.O(d2) = 262232645,263149043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14277517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9360829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3877337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3648795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3877439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3877811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9217977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7685305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9415430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4594401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4594401, s2 = 2821100, int(edited[s2]) = 0 s1 = 4594401, s2 = 2821100, d1 = 11, d2 = 13 Dl.O(d1) = 184783455,273102478 Dl.O(d2) = 112636010,98639224,84708942,71139191,258058626,37152709,256729814,17279135,17279136,19537094,13989132,9609984,6312036,6312033,6312021,6312023,9609956,6312049,6312048,9610013,13989191,19537212,26255569,34120046,34120045,26255291,26255290,34120244,39341556,30742535,30742537,26255459,19537135,13989152,13989153,15326946,10586121,10586122,15326949,21293065,28514042,34751547,43207676,43207677,39751933,39751931,49770451,43207923,43207204,39751899,34120202,26255267,26255266,19537108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4594401, s2 = 2821100, dlinesl.size( ) = 14 s1 = 12127, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6794220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6794220, s2 = 14070043, int(edited[s2]) = 0 s1 = 6794220, s2 = 14070043, d1 = 8, d2 = 10 Dl.O(d1) = 258544182 Dl.O(d2) = 33719628,25913008,19251064,19251063,25913006,21754322,15700558,10868864,7186191,4527284,2721449,2721447,4527278,7186171,10868816,15700456,21754173,29047554,36502215,36502214,46360268,38171039,33717959,33717958,38169917,48082771,255568674,72129046,72129047,63212348,270272774,258478802,258179431,257570908,256446124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6794220, s2 = 14070043, dlinesl.size( ) = 2 s1 = 6794220, s2 = 14070043, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6794220, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 7858499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3651043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164744, s2 = 11203712, int(edited[s2]) = 0 s1 = 14164744, s2 = 11203712, d1 = 91, d2 = 69 Dl.O(d1) = 263724204,200328038,200328035,193160020,184808510,175243125,164463697,164463695,175243122,184808509,261979628,139901680,260282414,261444522,262477832,170844519,261444524,112675868,98681463,257205890,71185499,71185500,257796918,112675870,272182315,261444526,260282416,139901681,260877548,175243126,184808513,193160023,200328040 Dl.O(d2) = 272463217,81189115,67725214,55385909,55385908,67725213,81189114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164744, s2 = 11203712, dlinesl.size( ) = 20 s1 = 10347892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347892, s2 = 9222506, int(edited[s2]) = 0 s1 = 10347892, s2 = 9222506, d1 = 8, d2 = 17 Dl.O(d1) = 91151952,105369740,261954705,156288766,261536788,74850655,62052484,257885974,24309328,24309327,19122080,13652788,13652789,13652795,13652794,19122085,19825255,19825190,19825191,26637227,26637232,34627144,43899474,254964090,49937919,61415975,256723894,257885976,101770135,257287696,87797976,99132512,85209752,71644439,255661502,37636890,29087093,21789720,15731705,15731706,21789721,29087094,37636891,47542110,58923277,71644440,85209754,99132514,85209753 Dl.O(d2) = 258400378,113123274,126981969,126981967,126981968,140336657,153034694,164872342,261971876,157855593,157855592,169281968,260871252,146758366,259031800,91492103,259011228,64393088,77561249,91492106,105716138,119951338,112716826,98721571,84794095,71225824,58504262,47125785,37227955,28701840,28701839,256868637,58504254,71225815,84794081,98721554,112716810,126581022,126581024,112716811,112716812,126581025,139945395,152652363,262660777,179274803,168988529,157525214,157525215,168988519,179274800,188325422,263300169,168988518,168988517,168988520,157525202,157525200,145090599,131831700,118004428,103859835,89756220,258341323,62994660,258966821,103859842,103859831,103859832,118004426,131831696,118004423,260806149,145090596,145090597,131831699,131831698,131831695,118004421,103859829,89756216,75977372,75977371,89756213,103859825,118004416,127381593,113511522,99500119,85553293,71965740,59227817,47829951,47829950,258107647,85553292,73603282,73603283,87225430,101226444,115304685,129232859,142603442,137334967,123602820,109410244,95155518,258968930,44450028,35075237,26991012,20101002,20101003,26991015,34966805,44344329,55195174,67539355,81009284,258686781,71294823,257762738,256619078,37267647,41753843,32832936,25127971,25127970,32832934,41753841,47125782,58504255,71225818,84794085,98721559,112352816,100019177,259274196,84794100,258058823,47125790,37227958,28701842,21449526,15452340,15452339,20268386,27192743,35312496,44731935,256868631,21449511,15452326,10684036,10684037,10684047,7057858,4443337,2669085,1545760,1545759,2669084,4443334 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9262658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9262658, s2 = 14165489, int(edited[s2]) = 0 s1 = 9262658, s2 = 14165489, d1 = 6, d2 = 6 Dl.O(d1) = 111817769,111817768,97885487,271287407,125631948,262132455,151674988,163556039,174399037,184054404,192511048,199789237,193188581,184842074,175283061,164511767,152666918,139968092,126613921,112758300,98768378,84841294,84841295,71267236,58535543,47147223,37241920,37241921,47147225,58535546,71267238,84841297,98768379,112758301,126613923,139968095,152666922,164511770,152666923,152666924,164511771,173550197,173550195,173550194,173550196,273498985,191911953,191911955,183347091,173550199,263027757,272851528,162516096,173550193,162516089,150384408,137342260,259971278,95159734,95159735,95159737,95159736,109415266,123609155,137342267,143393953,130063914,116155711,102098460,88111464,74499697,61718255,50239314,40219604,31533722,31265331,23780371,17450366,12301142,12301141,17450364,23780367,31265324,39940094,49956886,61434555,61718262,50239544,40219466,31533595,24031428,17680706,254303364,9303244,9303245,13586817,19034470,19858990,23201559,16932030,16932032,23201563,30623668,31111983,31111982,39792499,32412665,24787578,24031117,17680477,12503736,8470197,5475125,5475126,8470199,12503741,17680485,24031131,31533286,31533601,24894474,18392881,18392884,24894479,32542771,32403017,24779102,18298561,12988637,8842263,5762570,5762571,8842265,12988644,18298572,18392859,13064208,13064209,18392876,24779106,24779105,32403019,24894482,18392886,13064217,8902160,8902161,13064219,18392890,18392837,13064179,8902139,8902138,13064176,18392833,24894436,32542737,41399776,51639609,257596110,41227214,32403037,256083879,18298590,18298591,24779140,32403051,40219395,31533531,24031362,17680654,12503854,8470267,5475162,5475163,8470270,12503860,17680663,256030667,34132832,256030661,24031334,23688045,23688044,31177069,34132842,26266291,19545935,13996159,13996160,19545937,15240437,15240436,21206685,23688257,23688258,31177346,39860110,48659404,39860143,31177370,31177369,39860142,31533522,24031355,17680648,17680649,24031357,31533525,40219386,50239474,50239471,50239472,61718412,74499846,88111589,102098592,116155847,130064060,143394133,140092493,126744765,112892884,98905284,84979931,71405842,58671615,47280453,37371202,29907618,29907619,28831632,21561095,15540057,15540058,10749207,7101766,4471347,4471349,2880829,2686080,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556466,7558160,4779312,2880197,2880198,4776637,4776638,7103194,4472158,4472157,7103189,10748990,10748991,7554551,4777205,2879125,1670894,1670895,2879131,4777217,7553769,4778562,2879786,1671209,950824,950825,1671216,1671302,1671300,2879964,254535813,11375712,16348147,22521348,254839976,21098161,268108122,6889740,4325217,254265814,10451578,15154870,16325462,11357740,7545992,7545990,11357738,16325460,254393414,8124193,5204878,3175560,3175559,5204876,8124187,12081338,12212683,8243288,8243289,12212686,12168647,12168648,12135403,12135404,17255319,17278284,12157862,8188472,8188471,12157860,17278277,22503873,22503871,16339848,11368974,11368975,16339850,22513547,254186414,17258115,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,15929876,15929873,11287410,11287411,15544812,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217258,17343730,23660524,23362753,17254872,12135083,12135084,17254875,22495074,16321312,11357010,7545536,4772295,4772294,7545532,11354425,16320371,22493926,23636461,22484870,16313025,11349778,11349776,16312494,16308478,16308479,16308486,22479413,29845683,29349305,22514671,16341128,11369980,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111331,16004898,16357388,11383388,11383387,15547251,254759976,267828584,29414342,28286588,21297140,15329872,15329870,11352187,7542896,7542897,11343939,15517231,10731871,7090794,4464637,4464639,7090799,10731885,15517245,16308104,16308102,17236001,22472107,16302638,15329974,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459203,268081060,255068940,29354653,33865654,255443436,37919071,29848107,25404428,25404427,29342883,22973172,22973173,23606963,21296300,21296299,28517347,22509377,22509378,16338068,11367579,11367578,16338066,11468628,11468627,16459731,22529371,16356720,16356719,11467989,11467986,16458957,254347200,16923329,11843905,11843906,267840884,29876754,22519827,17539777,16303163,16303162,20188713,27086796,30374874,22973500,16736935,11693297,7798705,4945483,2984844,2984845,4945485,7798708,11693300,16341763,11370479,11370481,16338237,11367720,11367718,16338230,22512108,16341989,16341991,17316011,23607825,17295253,14484649,9966053,9966052,11370153,10751467,7103218,7103219,10751471,15545466,12174135,8206038,6553904,6553903,9972123,8245713,8205371,8205373,12173140,17294303,22511988,22511989,254521160,29873344,22515515,16342063,11370706,11370705,16342060,22515512,29873343,23544846,17237040,12214914,12155263,8245425,5317138,3266152,3266153,5317140,8245429,254265914,16309366,17301748,23614804,29883445,22528379,22528378,254394486,12212233,8242982,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,7540242,11347265,16308986,22480020,22484269,17089825,12002114,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308431,14222459,14222460,19851893,17096171,12009445,12009447,17096180,16302006,16302008,22471217,24540009,22389185,16230223,16230222,22389182,29749010,38317913,34593333,26606234,19799123,19799122,26606227,29839299,29839298,38412064,38411824,38411823,37922042,29355175 Dl.O(d2) = 111817769,111817768,97885487,271287407,125631948,262132455,151674988,163556039,174399037,184054404,192511048,199789237,193188581,184842074,175283061,164511767,152666918,139968092,126613921,112758300,98768378,84841294,84841295,71267236,58535543,47147223,37241920,37241921,47147225,58535546,71267238,84841297,98768379,112758301,126613923,139968095,152666922,164511770,152666923,152666924,164511771,173550197,173550195,173550194,173550196,273498985,191911953,191911955,183347091,173550199,263027757,272851528,162516096,173550193,162516089,150384408,137342260,259971278,95159734,95159735,95159737,95159736,109415266,123609155,137342267,143393953,130063914,116155711,102098460,88111464,74499697,61718255,50239314,40219604,31533722,31265331,23780371,17450366,12301142,12301141,17450364,23780367,31265324,39940094,49956886,61434555,61718262,50239544,40219466,31533595,24031428,17680706,254303364,9303244,9303245,13586817,19034470,19858990,23201559,16932030,16932032,23201563,30623668,31111983,31111982,39792499,32412665,24787578,24031117,17680477,12503736,8470197,5475125,5475126,8470199,12503741,17680485,24031131,31533286,31533601,24894474,18392881,18392884,24894479,32542771,32403017,24779102,18298561,12988637,8842263,5762570,5762571,8842265,12988644,18298572,18392859,13064208,13064209,18392876,24779106,24779105,32403019,24894482,18392886,13064217,8902160,8902161,13064219,18392890,18392837,13064179,8902139,8902138,13064176,18392833,24894436,32542737,41399776,51639609,257596110,41227214,32403037,256083879,18298590,18298591,24779140,32403051,40219395,31533531,24031362,17680654,12503854,8470267,5475162,5475163,8470270,12503860,17680663,256030667,34132832,256030661,24031334,23688045,23688044,31177069,34132842,26266291,19545935,13996159,13996160,19545937,15240437,15240436,21206685,23688257,23688258,31177346,39860110,48659404,39860143,31177370,31177369,39860142,31533522,24031355,17680648,17680649,24031357,31533525,40219386,50239474,50239471,50239472,61718412,74499846,88111589,102098592,116155847,130064060,143394133,140092493,126744765,112892884,98905284,84979931,71405842,58671615,47280453,37371202,29907618,29907619,28831632,21561095,15540057,15540058,10749207,7101766,4471347,4471349,2880829,2686080,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556466,7558160,4779312,2880197,2880198,4776637,4776638,7103194,4472158,4472157,7103189,10748990,10748991,7554551,4777205,2879125,1670894,1670895,2879131,4777217,7553769,4778562,2879786,1671209,950824,950825,1671216,1671302,1671300,2879964,254535813,11375712,16348147,22521348,254839976,21098161,268108122,6889740,4325217,254265814,10451578,15154870,16325462,11357740,7545992,7545990,11357738,16325460,254393414,8124193,5204878,3175560,3175559,5204876,8124187,12081338,12212683,8243288,8243289,12212686,12168647,12168648,12135403,12135404,17255319,17278284,12157862,8188472,8188471,12157860,17278277,22503873,22503871,16339848,11368974,11368975,16339850,22513547,254186414,17258115,17258117,12215287,8245595,5317221,5317223,3266201,3266200,5317237,8245625,12215336,12191853,8222259,8222261,12191861,17316641,17316651,16356471,16356469,22529171,21102759,15158304,15158306,15539553,10747065,10747064,15539546,15929876,15929873,11287410,11287411,15544812,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217258,17343730,23660524,23362753,17254872,12135083,12135084,17254875,22495074,16321312,11357010,7545536,4772295,4772294,7545532,11354425,16320371,22493926,23636461,22484870,16313025,11349778,11349776,16312494,16308478,16308479,16308486,22479413,29845683,29349305,22514671,16341128,11369980,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111331,16004898,16357388,11383388,11383387,15547251,254759976,267828584,29414342,28286588,21297140,15329872,15329870,11352187,7542896,7542897,11343939,15517231,10731871,7090794,4464637,4464639,7090799,10731885,15517245,16308104,16308102,17236001,22472107,16302638,15329974,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459203,268081060,255068940,29354653,33865654,255443436,37919071,29848107,25404428,25404427,29342883,22973172,22973173,23606963,21296300,21296299,28517347,22509377,22509378,16338068,11367579,11367578,16338066,11468628,11468627,16459731,22529371,16356720,16356719,11467989,11467986,16458957,254347200,16923329,11843905,11843906,267840884,29876754,22519827,17539777,16303163,16303162,20188713,27086796,30374874,22973500,16736935,11693297,7798705,4945483,2984844,2984845,4945485,7798708,11693300,16341763,11370479,11370481,16338237,11367720,11367718,16338230,22512108,16341989,16341991,17316011,23607825,17295253,14484649,9966053,9966052,11370153,10751467,7103218,7103219,10751471,15545466,12174135,8206038,6553904,6553903,9972123,8245713,8205371,8205373,12173140,17294303,22511988,22511989,254521160,29873344,22515515,16342063,11370706,11370705,16342060,22515512,29873343,23544846,17237040,12214914,12155263,8245425,5317138,3266152,3266153,5317140,8245429,254265914,16309366,17301748,23614804,29883445,22528379,22528378,254394486,12212233,8242982,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,7540242,11347265,16308986,22480020,22484269,17089825,12002114,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308431,14222459,14222460,19851893,17096171,12009445,12009447,17096180,16302006,16302008,22471217,24540009,22389185,16230223,16230222,22389182,29749010,38317913,34593333,26606234,19799123,19799122,26606227,29839299,29839298,38412064,38411824,38411823,37922042,29355175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9262658, s2 = 14165489, dlinesl.size( ) = 2 s1 = 9262658, s2 = 14165489, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9262658, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6904006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6904006, s2 = 1813803, int(edited[s2]) = 0 s1 = 6904006, s2 = 1813803, d1 = 44, d2 = 0 Dl.O(d1) = 259930825 Dl.O(d2) = 47496006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6904006, s2 = 1813803, dlinesl.size( ) = 22 s1 = 3653437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3653437, s2 = 14759003, int(edited[s2]) = 0 s1 = 3653437, s2 = 14759003, d1 = 15, d2 = 94 Dl.O(d1) = 126618814 Dl.O(d2) = 264471386,218884441,221738456,224187406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6692290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6692290, s2 = 7032654, int(edited[s2]) = 0 s1 = 6692290, s2 = 7032654, d1 = 25, d2 = 34 Dl.O(d1) = 257425758 Dl.O(d2) = 261638396,143193411,143193410,143193411,129864457,115967190,101923168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6692290, s2 = 7032654, dlinesl.size( ) = 36 s1 = 8322490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3760543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163748, s2 = 515339, int(edited[s2]) = 0 s1 = 14163748, s2 = 515339, d1 = 38, d2 = 2 Dl.O(d1) = 245976450,245864482,245745337,245618256,245481698,245336415,245182409,245018013,244842936,244656947,244457324,244243073,244011721,243763302,243495350 Dl.O(d2) = 13138432,8954403,5844575,3647184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163748, s2 = 515339, dlinesl.size( ) = 32 s1 = 14637688, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11659082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345195, s2 = 7463398, int(edited[s2]) = 0 s1 = 10345195, s2 = 7463398, d1 = 3, d2 = 57 Dl.O(d1) = 34998744 Dl.O(d2) = 228182357,266902557 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6904740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6904740, s2 = 7072402, int(edited[s2]) = 0 s1 = 6904740, s2 = 7072402, d1 = 17, d2 = 21 Dl.O(d1) = 259937425 Dl.O(d2) = 262184527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6904740, s2 = 7072402, dlinesl.size( ) = 24 s1 = 6904793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6904821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6904821, s2 = 8931742, int(edited[s2]) = 0 s1 = 6904821, s2 = 8931742, d1 = 47, d2 = 62 Dl.O(d1) = 259938293 Dl.O(d2) = 274853326,266690042,274675970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6904821, s2 = 8931742, dlinesl.size( ) = 40 s1 = 9218792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9218792, s2 = 11388210, int(edited[s2]) = 0 s1 = 9218792, s2 = 11388210, d1 = 14, d2 = 11 Dl.O(d1) = 260539749,112891885,260539747,112891886,126743839,140091548,140091547,261668131,142075044,142075043,261539174,128715603,142075046,262290741,262765619,263938991,194534427,201524941,207408348,264026880,186505689,263423784,262563858,261539176,114815488,100763306,100763307,114815489,128715605 Dl.O(d2) = 262290743,273369217,262891548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9218792, s2 = 11388210, dlinesl.size( ) = 12 s1 = 3902712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3658361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165606, s2 = 9463924, int(edited[s2]) = 0 s1 = 14165606, s2 = 9463924, d1 = 7, d2 = 7 Dl.O(d1) = 122962839,108697850,94410936,80356900,80356901,94410937,108697851,122962840,136793038,149928638,162140166,173239284,183089572,191697782,199100065,205361037,264677199,211484556,206488689,200445171,193289576,184952326,263110009,164642791,152804998,140111531,126762267,112909663,98922115,84997300,71424216,58691319,47300793,37391627,28851503,21579507,15556068,10759775,7109186,4476061,4476062,7109187,10759776,15556069,21579508,28851505,37391628,47300794,58691321,71424218,84997301,98922117,112909667,112909664,112909665,126762269,140111532,152805001,164642792,175404206,184952327,193289578,200445172,206488690,264734791 Dl.O(d2) = 122962839,108697850,94410936,80356900,80356901,94410937,108697851,122962840,136793038,149928638,162140166,173239284,183089572,191697782,199100065,205361037,264677199,211484556,206488689,200445171,193289576,184952326,263110009,164642791,152804998,140111531,126762267,112909663,98922115,84997300,71424216,58691319,47300793,37391627,28851503,21579507,15556068,10759775,7109186,4476061,4476062,7109187,10759776,15556069,21579508,28851505,37391628,47300794,58691321,71424218,84997301,98922117,112909667,112909664,112909665,126762269,140111532,152805001,164642792,175404206,184952327,193289578,200445172,206488690,264734791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165606, s2 = 9463924, dlinesl.size( ) = 2 s1 = 14165606, s2 = 9463924, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165606, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6905023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3658891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3409756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3659781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3659781, s2 = 13923374, int(edited[s2]) = 0 s1 = 3659781, s2 = 13923374, d1 = 0, d2 = 103 Dl.O(d1) = 126790479 Dl.O(d2) = 266953041,274889463,267155835,267096274,266920310,266953051,239973926,239411721,266849247,238802516,238139750,266790659,239973866,240494646,266999707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9040824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9040824, s2 = 11648006, int(edited[s2]) = 0 s1 = 9040824, s2 = 11648006, d1 = 34, d2 = 55 Dl.O(d1) = 273371336,140902258,261712143,153575939,262706715,176054276,165364687,262706713,263538473,200872804,205466262,205466261,199225365,263794987,183272783,173464856,173464855 Dl.O(d2) = 191649600,199055362,263916144,177746639,167253271,155623502,143074151,129743040,129743038,129743039,141436125,128070624,257545398,72592868,59855158,48464342,48464343,256421790,86186740,72589200,72589201,72589202,59851534,267893938,254787218,255483276,255483272,59851532,48460907,255103478,29979561,29503178,29503179,29970374,29970375,38536307,38551740,255924021,255924019,38551738,38551742,258154365,86190423,260021029,128070612,261280806,99101363,99101364,113088438,272191467,125992076,112155114,98192242,84296098,70744464,70744465,84296096,70744463,258647429,46657822,36772714,28277059,255378729,10439958,6882353,254718929,256295119,28277056,28277054,28277055,36772713,269304279,70744462,84296095,85419575,71831869,59091852,47693297,257701688,48184965,48184964,48184967,38275559,29708834,268636799,257524785,72304946,259382505,113869969,272559353,153306931,153306921,153306922,165119322,164808883,152979678,140289400,126941505,126941506,126941511,126941510,140289410,140289444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9040824, s2 = 11648006, dlinesl.size( ) = 34 s1 = 3660071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3887685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7087607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3410933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8528722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8528722, s2 = 7545442, int(edited[s2]) = 0 s1 = 8528722, s2 = 7545442, d1 = 130, d2 = 249 Dl.O(d1) = 184990458 Dl.O(d2) = 267667404 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13425769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13425769, s2 = 7376458, int(edited[s2]) = 0 s1 = 13425769, s2 = 7376458, d1 = 46, d2 = 21 Dl.O(d1) = 28929653,37470975,47378041,58765286,71495152,85067682,98993668,112983702,126837883,272537301 Dl.O(d2) = 266007233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13425769, s2 = 7376458, dlinesl.size( ) = 2 s1 = 13425769, s2 = 7376458, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13425769, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 8643037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7623251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7623251, s2 = 7170667, int(edited[s2]) = 0 s1 = 7623251, s2 = 7170667, d1 = 43, d2 = 40 Dl.O(d1) = 269808494 Dl.O(d2) = 263531663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7623251, s2 = 7170667, dlinesl.size( ) = 38 s1 = 8194983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8194983, s2 = 11106390, int(edited[s2]) = 0 s1 = 8194983, s2 = 11106390, d1 = 2, d2 = 35 Dl.O(d1) = 60462909,60462908,258196441,75430371,259350674,58773433,71502832,259945675 Dl.O(d2) = 1282341,2208492,3688969,5904255,267851972,8702628,5664943,254623617,12799900,18055127,255814694,255020504,10629344,15144115,15144114,18885465,21359296,15381432,10629387,7016106,7016107,10629389,15381437,21359305,28406320,21275866,15314121,10576869,10576870,15314123,21275868,17198277,12093652,12093651,13454186,13454169,9200821,9200820,13454164,254493360,6914099,10486539,13453708,17486978,23823782,31312730,26618377,19808999,14189111,9754066,9754067,14189113,268085475,11228051,255463403,29659241,258130247,85847508,76981506,63870515,269068373,41736665,52051334,63870518,63117480,63117479,60079254,60079255,61603964,52451875,42099053,42099052,49435828,48790063,257568964,12486182,17656829,24001071,31498711,33109688,33109687,28076978,21100987,15157042,15157041,21100984,28311099,22604015,22115371,16002685,11109780,7368356,7368353,11109771,10833356,255048959,21691787,28974418,37518177,44819599,44819574,35393760,30565407,30565406,39162983,48945356,39022208,39022209,48945360,58806707,58806708,47539877,37634394,37634395,34752715,31782225,31782226,34752948,34752949,31324273,27040100,27040099,34752579,34752392,26732836,26732835,22693717,16491979,16491978,255930403,34752666,34753208,44069882,44069899,34753239,34752976,26733039,19898194,19898193,26733035,21414133,15424715,14976336,10308863,6780215,4250050,4250049,254707643,14976327,20878199,28046134,36509915,46368211,57717749,70411884,58369320,46998982,37113246,37113245,46998979,58369316,68113231,68113232,75633046,75633045,89394434,91244625,81601974,68113211,55716908,255343762,81601616,68112796,68112795,68112820,68112793,55716421,44809954,44809952,44809939,44809940,55716406,64176288,52324880,52324881,53243916,53243915,65232555,78521922,92568533,87788771,74184548,61404671,49925099,39905626,39905625,49925097,61404667,74184544,87788767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8194983, s2 = 11106390, dlinesl.size( ) = 20 s1 = 11659684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659684, s2 = 3662252, int(edited[s2]) = 0 s1 = 11659684, s2 = 3662252, d1 = 0, d2 = 0 Dl.O(d1) = 99556137,85605770,72017024,59279956,47883425,37964778,29400286,22069758,15964838,11080665,11080666,15964839,22069759,29400287,256921905,47883427,59279958,72017025,85605772,271329573,127447663,140807058,153487818,165283952,262701109,185456951,193727250,200819392,206804747,211750379,215791830,219134333,265384679,226484716,228318298,229927259,266114599,232556514,231267302,229830175,274411412,211525507,206536055,200498694,193349415,185018779,175478724,164724688,152892738,140201627,126854150,113001194,99012369,85086856,71514389,71514390,259946337,113001189,99012367,85086855,71514386,58784285,58784284,71514390,71514388,58784283,47396245,37487908,37249702,28718891,21462739,15462203,10691231,7063025,4446960,4446959,7063023,10691227,15462197,21462735,28718886 Dl.O(d2) = 99556137,85605770,72017024,59279956,47883425,37964778,29400286,22069758,15964838,11080665,11080666,15964839,22069759,29400287,256921905,47883427,59279958,72017025,85605772,271329573,127447663,140807058,153487818,165283952,262701109,185456951,193727250,200819392,206804747,211750379,215791830,219134333,265384679,226484716,228318298,229927259,266114599,232556514,231267302,229830175,274411412,211525507,206536055,200498694,193349415,185018779,175478724,164724688,152892738,140201627,126854150,113001194,99012369,85086856,71514389,71514390,259946337,113001189,99012367,85086855,71514386,58784285,58784284,71514390,71514388,58784283,47396245,37487908,37249702,28718891,21462739,15462203,10691231,7063025,4446960,4446959,7063023,10691227,15462197,21462735,28718886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659684, s2 = 3662252, dlinesl.size( ) = 2 s1 = 11659684, s2 = 3662252, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659684, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9488369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13533331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13533331, s2 = 6613046, int(edited[s2]) = 0 s1 = 13533331, s2 = 6613046, d1 = 3, d2 = 2 Dl.O(d1) = 58799503,71528529,85099863,99024425,113012220,261125393 Dl.O(d2) = 55292908,256540770,26989565,20099778,14411179,14411178,20099777,26989564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13533331, s2 = 6613046, dlinesl.size( ) = 16 s1 = 14203193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14203193, s2 = 7603522, int(edited[s2]) = 0 s1 = 14203193, s2 = 7603522, d1 = 13, d2 = 15 Dl.O(d1) = 159187895 Dl.O(d2) = 269009686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14203193, s2 = 7603522, dlinesl.size( ) = 14 s1 = 9610194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7685795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7685795, s2 = 11251982, int(edited[s2]) = 0 s1 = 7685795, s2 = 11251982, d1 = 112, d2 = 58 Dl.O(d1) = 272538190 Dl.O(d2) = 73600057 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6995692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9128406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9128406, s2 = 8306016, int(edited[s2]) = 0 s1 = 9128406, s2 = 8306016, d1 = 6, d2 = 0 Dl.O(d1) = 151719512,139015423,261614619,141392596,141392595,154067017,149628184,136362504,122378431,122378430,136274147,122297394,122297393,122297395,107881621,93452424,93452425,107881620,257540846,270331264,93452415,79321230,79321231,93452416,79378750,66010479,53940042,43413135,43413134,43413119,34311776,34311777,43413121,53940021,43413115,43413114,53940019,43413129,34311783,34311785,26433805,19695613,268324063,19695606,14121935,14121936,14121940,268041053,9715698,268165093,19695614,19695615,26433806,34311791,43413132,53940035,65244496,65244495,78534890,92582639,78534883,65244491,257238631,42802160,53254865,53254881,65244506,65244492,65244493,78534885,92582643,106901742,107057285,92717681,92717680,92582642,92582641,106901740,92717686,78655012,65351571,65351570,78655010,92717683,107057288,261487449,148374410,148374409,262514909,263381931,273730192,148374398,135205268,121354329,260922055,148374395,160639558,171829466,181796264,190533490,181796267,171829475,262971013,171829465,160639556,148374394,135205260,271590469,92717665,78654995,65351563,65351562,53349223,42884798,33841348,26021737,19346143,13836190,9490442,9490441,13836188,19346140,26021734,257554990,26021728,33841336,42884781,48591374,48591369,38674892,38674893,38674884,30097424,22715607,16511233,11506370,11506371,16511235,22715611,30097431,38674901,48591359,38674875,30097419,22715605,22715606,30097421,38674880,30097437,22715614,22715615,30097439 Dl.O(d2) = 22715613,16511236,11506372,7654278,7654279,267767082,4843123,267739990,1693050,962769,542560,304044,304043,542558,962766,1693049,1693057,1693058,2918615,2918605,2918606,4843122,7654228,11506286,11506287,16511125,254542658,22715501,30096300,30096301,30097318,22715503,22715502,30097316,38674809,38674817,30097325,22715508,22715509,30097328,34689559,26694975,26694974,255490142,43888989,34617061,26627475,26627474,34617058,43888984,54632176,43964847,256205829,19874826,19874825,26694972,256729175,268412274,43964841,48590004,59981846,61996678,64010663,64010662,59983372,48591309,38674808,38674807,268412272,268263960,254875372,12669256,254615954,24265178,19816432,14194739,13493177,13493178,18927232,25539524,33301693,36425647,27967049,20804489,268370021,19816356,19816357,256200259,43888941,268605466,47413016,37958099,29393522,29393523,268660139,258646210,35323230,44749410,55657638,57873264,57964025,57964026,57963961,57963962,70682321,78541504,65251443,53261811,47072884,47072885,43038494,43038493,38983687,30396142,30396141,38983684,48905311,57873293,46517678,46517680,55231762,55231761,46517663,36650485,28174768,20993426,15079461,10400980,10400982,15079465,17783087,24150185,31660706,30396147,30396148,37179238,28659909,22992513,22992512,24150328,31660910,40355953,50390920,40355957,40355956,50390921,257147044,37179236,28659907,21415349,15425733,15425734,21415352,268014370,12585892,254610713,5536162,8538227,12585893,17783200,24150331,31660914,40355961,39493436,39493435,33956316,33956315,33956312,26119189,19425683,13898903,9537942,6257194,3917089,3917087,3917088,254670635,13898896,19425674,26119179,33956291,33956283,33956284,43013100,53491362,53491364,53491361,48311513,38400747,38400744,38400743,38400745,48311512,59698472,72434126,86031715,86031716,99993322,114019084,271547748,92744088,92744089,78680603,65375642,65375641,78680600,92744094,107084689,121382171,135232173,147146506,133922375,120079162,260877197,121382178,107084694,92744096,92744095,260329323,135232182,262021659,159507456,159507455,159507454,170837821,180959572,177038806,166455055,154746981,142111029,142111028,152932383,140242834,260550095,113042736,126895422,126895424,126895423,140242836,136187819,122223368,122223369,136187823,272160460,136187815,136187816,136187818,126895429,113042742,99054885,85130236,71559787,71559788,85130237,271313831,85130230,71559784,58832392,58832393,71559785,85130231,99054877,113042729,272190249,119984113,260054626,77594738,77594737,77594742,77594744,64426132,52552168,52552165,42193645,42193644,42193641,42193640,33233593,25484838,268238958,9201702,6024409,3768875,2258145,1310661,748287,748288,254204873,3768882,6024419,9201714,13455670,13455657,13455656,256130737,18881998,13455669,268145215,25484876,33233602,25484846,25484847,25484848,33233604,42193657,33233649,33233648,42193719,46368983,36510622,28046796,20878834,14976962,14976963,20878835,256274709,257390643,37538198,28992903,21708553,15666721,10845537,7169739,7169738,10845535,268212853,10845534,7169737,4515688,2713452,2713453,4515690,7169741,10845539,255421635,28992904,268927383,71559803,85130258,99054912,113042787,126895499,140242858,140242859,152932405,140242920,126895497,126895498,140242904,126895483,261127859,152932456,164761791,173234999,162135540,272362924,164761723,272538629,126895442,113042752,99054893,85130243,85130242,99054891,113042750,126895438,140242839,152932384,263117009,176780392,166157451,154420659,152932430,152932431,164761775,175512475,175512414,263117011,175512413,262663420,153766723,165546724,263549035,263143640,185685124,193935731,201004015,200713687,193603395,185306915,175796845,165066963,165066964,175796847,185306930,262611492,165067016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9128406, s2 = 8306016, dlinesl.size( ) = 2 s1 = 9128406, s2 = 8306016, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9128406, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 10209873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10209873, s2 = 8520660, int(edited[s2]) = 0 s1 = 10209873, s2 = 8520660, d1 = 2, d2 = 20 Dl.O(d1) = 126909512,126909516,113056779,99068703 Dl.O(d2) = 113056778,99068701,85143857,71573587,58846731,47461630,37554174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10209873, s2 = 8520660, dlinesl.size( ) = 20 s1 = 6427178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6427178, s2 = 11042260, int(edited[s2]) = 0 s1 = 6427178, s2 = 11042260, d1 = 57, d2 = 43 Dl.O(d1) = 254224689,1519254,2631063,2631074,4058627,4058626,6476656,9859637,14350003,20033378,256212941,256486918,58851247,55228186,55228187,67571250,259951409,126913931,140262034,152952439,164782309,175532192,185067075,273707493,175532193,175532194,164782310,164782309,175532192,185067075,273151270,273535103 Dl.O(d2) = 258458008,12372073,8360116,8360115,12372068,17540839,23887368,25609701,33374546,257072126,53456526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6427178, s2 = 11042260, dlinesl.size( ) = 38 s1 = 6806055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6806055, s2 = 8023511, int(edited[s2]) = 0 s1 = 6806055, s2 = 8023511, d1 = 86, d2 = 103 Dl.O(d1) = 258713756 Dl.O(d2) = 16152260,16150681,16150680,19777070,16148429,16148428,16150800,11220551,7444998,7445002,255084985,22295507,28693172,21442177,21442178,16148487,11218969,11218968,16148483,22292955,22292954,24250450,24250449,22296494,16152385,11221828,11221819,7445811,7445810,11221813,11218810,7443918,4703400,2833470,1643816,934695,934696,1643820,2833478,4703421,7443965,11218886,16148101,11218719,11218720,15694435,15694436,11221891,11221890,15694648,15694649,15694538,10864828,10864829,15694542,21746172,29038411,29038343,254512284,15694461,10864786,10864785,15694458,21746044,21746181,29038421,22292927,254512256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6806055, s2 = 8023511, dlinesl.size( ) = 38 s1 = 9446500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3427102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3427102, s2 = 14932262, int(edited[s2]) = 0 s1 = 3427102, s2 = 14932262, d1 = 84, d2 = 102 Dl.O(d1) = 113491090,127360810,140283095,126935382,113082298,99094955,85173055,71608173,71608174,85173056,99094958,113082301,100347857,100347858,105670028,100347857 Dl.O(d2) = 72134810,258744245,259987277,99666812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3427102, s2 = 14932262, dlinesl.size( ) = 2 s1 = 3427102, s2 = 14932262, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3427102, Dl.E( ) = 106, 4.1e-05 seconds used appending s1 = 3892843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353221, s2 = 11324058, int(edited[s2]) = 0 s1 = 10353221, s2 = 11324058, d1 = 65, d2 = 2 Dl.O(d1) = 114300684,126968360,126968361 Dl.O(d2) = 58100846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10353221, s2 = 11324058, dlinesl.size( ) = 10 s1 = 6755950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3666944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3667435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6906837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6753027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6753027, s2 = 7196836, int(edited[s2]) = 0 s1 = 6753027, s2 = 7196836, d1 = 13, d2 = 11 Dl.O(d1) = 258092717,21861699,259961183 Dl.O(d2) = 263879077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6753027, s2 = 7196836, dlinesl.size( ) = 14 s1 = 3669505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3896508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8536847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8536847, s2 = 10350170, int(edited[s2]) = 0 s1 = 8536847, s2 = 10350170, d1 = 50, d2 = 37 Dl.O(d1) = 164247737,152375137,139654713,139654712,262644889,152375112,139654682,139654683,140564306,140564305,140564285,127218436,113359942,113359943,127218440,261292935,153245815 Dl.O(d2) = 88061017,86565006,74679622,61886436,257093623,31666116,255586421,17789748,24156772,26324242,34196908,257264333,40360682,40360683,37995229,29432797,23482945,23482946,30920212,32336052,24719869,18246692,12943873,12943876,18246704,24719883,32336069,39922791,41151249,41151247,42684102,38287628,29721201,29721200,32646615,255290402,36500442,39170437,39170436,41151264,51336616,41474334,32597331,32597332,37995221,29432790,29432789,37995217,255288020,255288022,53135197,53135179,42684108,34196878,34196877,33653902,25849452,25849453,33653904,42684123,36916566,28418684,21196368,21196369,26325078,26325077,34197872,40101811,40101812,50122478,58348036,50122680,40102078,40102079,40101262,40011525,31333203,23841409,23841410,25404810,18815003,18815004,23464331,17184905,12083308,8125482,254830183,17184907,12777633,255240111,8959172,5847839,5847707,5847706,8958897,8958832,5847626,5847625,8958829,255240045,25034889,32721724,25035105,18501715,18501522,18501521,25034931,25035111,32721928,256576458,57639351,256066478,36476362,36476361,32297619,24686668,18219710,18219709,24686667,256588487,51288156,257726520,268713744,18219716,18219715,256050905,40527891,50564458,41108153,32297623,24686670,24686671,32297625,41108157,257726523,74856155,270921635,62057180,50564485,40527913,31830522,24312638,24312633,17927357,17927358,24312635,24312613,17927342,17927343,12702354,8629956,254423165,2069818,1188558,667779,372211,372212,397434 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7686055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3897254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3897254, s2 = 16147746, int(edited[s2]) = 0 s1 = 3897254, s2 = 16147746, d1 = 20, d2 = 86 Dl.O(d1) = 140565386 Dl.O(d2) = 244375449,244153421,243914703,243658251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3897254, s2 = 16147746, dlinesl.size( ) = 34 s1 = 9206612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9206612, s2 = 4569952, int(edited[s2]) = 0 s1 = 9206612, s2 = 4569952, d1 = 22, d2 = 21 Dl.O(d1) = 81181721,259792017,123673132,137404251,140567226 Dl.O(d2) = 263438204,183395618,191957293,264925621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9206612, s2 = 4569952, dlinesl.size( ) = 20 s1 = 7707630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3897739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3897739, s2 = 1832256, int(edited[s2]) = 0 s1 = 3897739, s2 = 1832256, d1 = 12, d2 = 27 Dl.O(d1) = 140573381 Dl.O(d2) = 85429764,258721122,47852729,37932842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3897739, s2 = 1832256, dlinesl.size( ) = 22 s1 = 6947898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6947898, s2 = 8607576, int(edited[s2]) = 0 s1 = 6947898, s2 = 8607576, d1 = 28, d2 = 38 Dl.O(d1) = 260503035,127644813,113776634,271331868,85808404,99762399,106166511,114890450,128786112,130599761,130599753,130599752,143910039,262419080,134201449,134201447,262208787,140580916 Dl.O(d2) = 259965246,127178652,113319093,270312574,139646454,152367130,164240013,262208785,127235530,261692093,157563245,262689188,260212379,89806607,272200754,268963942,697113,697112,1231708,254290557,256081429,257145369,256081431,24748124,257219459 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8607577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8607577, s2 = 4364214, int(edited[s2]) = 0 s1 = 8607577, s2 = 4364214, d1 = 42, d2 = 25 Dl.O(d1) = 257219458,37118038,256081430,257145368,256081428,254290556,38993360,30404200,30404201,268963943,272200755,113377868,260212378,262689189,153262523,261692092,164240011,262208784,127235532,113377843,99377412,270312575,71851108,85436341,259965247 Dl.O(d2) = 169023991,262208786,118049525,118049527,262419081,118049497,103907737,103907738,103907725,103907726,103709000,103709001,113675787,99663164,271331869,102402498,102402496,260503034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3898178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3672477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3672477, s2 = 9146944, int(edited[s2]) = 0 s1 = 3672477, s2 = 9146944, d1 = 29, d2 = 22 Dl.O(d1) = 127265726,140611725 Dl.O(d2) = 7682836,7682835,11547965,16566391,22582447,22164300,16042211,11139020,7388340,7388341,11139028,16042221,22164313,22612586,19657731,18885495,13458262,13458261,18885492,22787110,22787111,20194020,14489397,9969447,9969446,14489395,17652128,23995789,19661547,267832956,9693398,9693411,9693408,14093356,10694819,7065534,4448604,4448603,7065528,10694807,15466992,16659407,14087121,14087124,9693536,6375616,4000320,4000318,6374401,3999752,2397050,1387194,1387197,2397064,3999779,5774371,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3672477, s2 = 9146944, dlinesl.size( ) = 2 s1 = 3672477, s2 = 9146944, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3672477, Dl.E( ) = 30, 8.11e-06 seconds used appending s1 = 8349539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7646258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7646258, s2 = 7024900, int(edited[s2]) = 0 s1 = 7646258, s2 = 7024900, d1 = 49, d2 = 34 Dl.O(d1) = 270831879 Dl.O(d2) = 261526534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7646258, s2 = 7024900, dlinesl.size( ) = 14 s1 = 7120725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7120725, s2 = 11209446, int(edited[s2]) = 0 s1 = 7120725, s2 = 11209446, d1 = 67, d2 = 92 Dl.O(d1) = 262835282 Dl.O(d2) = 58917167,58917168,71213746,257446000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7120725, s2 = 11209446, dlinesl.size( ) = 48 s1 = 10196385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10144399, s2 = 7963652, int(edited[s2]) = 0 s1 = 10144399, s2 = 7963652, d1 = 62, d2 = 4 Dl.O(d1) = 255197964,16148644,21431732,15438054,10672785,10672786,15438057,12652867,8590682,5582090,5582089,8590680,12652862,17867347,16148873,16148874,22293628,22293270,16149249,16149250,22294120,28735982,22293524,16148785,16148784,22293522,29645468,37267802,268610011,28486164,36983173,38212027,29645485,29645486,37267939,47173969,48823643,256449559 Dl.O(d2) = 10344590 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8401193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8487543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13827103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10347701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10347701, s2 = 5431836, int(edited[s2]) = 0 s1 = 10347701, s2 = 5431836, d1 = 57, d2 = 83 Dl.O(d1) = 83948813,271285483,71328341,58595257,58595258,49442358,39510861,39510862,49442360,60844297,59987404,59383821,47994278,38081835,29517289,22175405,22175404,29517286,34062182,26206651,26206650,34062178,39728799,258421207,71604364,257475087,29053762,256895435 Dl.O(d2) = 185405997,185405998,264206423,264981817,221915608,219088623,219088622,221915606,274407381,224362701,274553393,228167818,274403750 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10189332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10189332, s2 = 6986867, int(edited[s2]) = 0 s1 = 10189332, s2 = 6986867, d1 = 23, d2 = 25 Dl.O(d1) = 257496671 Dl.O(d2) = 261001471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10189332, s2 = 6986867, dlinesl.size( ) = 18 s1 = 10353347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6956641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6956641, s2 = 9710224, int(edited[s2]) = 0 s1 = 6956641, s2 = 9710224, d1 = 12, d2 = 10 Dl.O(d1) = 260594270,140761036 Dl.O(d2) = 260594268,153441041,259994580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6908972, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3678369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3678369, s2 = 16188664, int(edited[s2]) = 0 s1 = 3678369, s2 = 16188664, d1 = 0, d2 = 11 Dl.O(d1) = 127454466 Dl.O(d2) = 262222331,262701651,262223726,152900121,262192539,164731304,152900121,140209952,126863373,272189531,126863373,113011606,113011607,126863374,261329383,102492139,88485519,74849874,62051682,50559207,50559208,62051684,63145376,63145377,76153828,89962390,104093772,118253539,132072321,145307474,157716672,159690864,147342661,134130207,134130206,120299263,106098864,91903812,77979436,257902838,42462343,33469038,33469039,28428030,21204373,21204374,28428031,36926621,256737204,58172277,70886568,84443814,259152480,259780358,139572348,152302056,164185319,262570924,192985959,200177969,206250699,211272066,215375073,218765501,265039626,215981825,211976525,207074396,207074397,211976530,215981829,219298759,218765520,218765521,221627987,224086063,224086058,221627979,221627980,224086057,224086055,224086051,264920012,215375065,215375066,218765493,215375071,215375070,215981828,218765507,215375077,211272068,206250700,200177970,200177969,206250699,211272065,215375070,215981828,219298757,219298755,215981824,211976524,207074394,201133787,262810442,176418028,165756558,153984395,271392546,114074191,100047785,86085175,72487829,59753597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3678369, s2 = 16188664, dlinesl.size( ) = 2 s1 = 3678369, s2 = 16188664, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3678369, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10213493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10213493, s2 = 8749432, int(edited[s2]) = 0 s1 = 10213493, s2 = 8749432, d1 = 9, d2 = 11 Dl.O(d1) = 73175492,86788199,100769294,114704643,100769295,100769294,100659253,100659254,114704645,108706104,94419074,80365452,66939965,54683696,54683695,43941023,34666896,34666897,26673733,19856646,14225928,9779669,254965809,19856647,26673734,34666899,43941027,54683705,66939973,77737583,64555293,52655721,52655722,64555294,77737585,77329953,64182640,52332461,41993186,41993185,41993189,41993190,52332463,64182643,260261927,260261929,119178031,104982991,90805065,90805064,100025219,86062209,86062210,100025220,91961700,78034426,74734041,61939632,50448289,50448290,52912224,52912225,64837022,78034421,259682887,120362581,134195674,260837148,104873127,90703651,90703652,104873129,119058703,132880186,132880187,132880192,146099682,158464805,168295439,156826442,260195642,117380431,103250388,89160002,75412075,62493195,50893280,40777032,32020753,24459381,24459382,32020579,24459444,18040706,12788309,12788307,18040699,24459435,32020822,256457460,50890161,40774373,32018346,32018345,40774372,50890159,42131443,42131418,33175036,33175035,42131416,51755046,51755302,41485198,32606350,24942629,18428918,13090172,8920324,5821327,5821328,8920326,13090175,18428925,24942634,32606355,41485200,51755305,63534001,51755334,41485256,32606411,32606268,24942568,24942569,32606271,41485110,51755235,51755343,63534027,71054421,63534018,51755336,41485258,32606414,32606415,41485260,51755340,63534024,71635679,257476475,37627601,29076870,21778939,15719890,15719889,15719887,15719888,21778938,21778934,15719885,15719886,21778936,29076864,29076865,37627593,47533840,58915001,71635662,85200433,99123046,85200441,71635665,58915007,47533847,37627598,29076867,29076868,37627599,47533849,58915008,71635667,85200444,99123056,261681965,127457122,127457123,140817442,153498497,165294267,175989995,185465018,193733849,263131328,193733847,200825070,206809991,206809992,211755476,215796714,219138991,221960598,224346015,221919327,219092015,219092014 Dl.O(d2) = 215796709,211755468,206809980,200825064,193733844,185465011,175989991,175989992,185465013,193733845,200825067,206809986,211755472,211755473,215796711,219138988,221960596,222269182,219490108,216199664,216199662,216199663,212229343,207370318,207370319,212229341,207370316,207370317,201478327,194478594,194478593,186307108,176933444,176933445,186307110,194478598,186307111,176933446,166337104,154619398,141977495,128617954,128617953,141977494,141977498,260653771,100675060,86701899,73098425,60360050,258189641,86701898,86701900,86701901,98488027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10213493, s2 = 8749432, dlinesl.size( ) = 2 s1 = 10213493, s2 = 8749432, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10213493, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 9522410, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7682435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7682435, s2 = 6624373, int(edited[s2]) = 0 s1 = 7682435, s2 = 6624373, d1 = 45, d2 = 36 Dl.O(d1) = 272384447 Dl.O(d2) = 256656604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7682435, s2 = 6624373, dlinesl.size( ) = 14 s1 = 10198267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1042392, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6835997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14999781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9390275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9390275, s2 = 2722312, int(edited[s2]) = 0 s1 = 9390275, s2 = 2722312, d1 = 25, d2 = 13 Dl.O(d1) = 268197829,28069537,36536434,46397372,57748195,269787910,70443343,269871030,60146620,59365546,59365547,72098676,258280156,99634250,99634247,99634246,113647893,127519507 Dl.O(d2) = 22650967,30023780,38596268,48510943,59904438,72645328,78262779,64989215,53014087,42573734,42573733,47749959,59148453,71886309,85470852,269492510,75776630,62816706,51170079,41016111,41016110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9390275, s2 = 2722312, dlinesl.size( ) = 14 s1 = 10356171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356171, s2 = 7050833, int(edited[s2]) = 0 s1 = 10356171, s2 = 7050833, d1 = 84, d2 = 63 Dl.O(d1) = 264672949,218218017,219898051,216666140,264572918,167604414,155993778 Dl.O(d2) = 261851653,264822813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7272683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7272683, s2 = 10356170, int(edited[s2]) = 0 s1 = 7272683, s2 = 10356170, d1 = 52, d2 = 57 Dl.O(d1) = 264822812,261851652,272554005,259985566,50281788,271401160,130122138 Dl.O(d2) = 155993771,167604410,264572919,216666142,219462425,216166671,264672948 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3681887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10332203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4463148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13604701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7702603, s2 = 14655143, int(edited[s2]) = 0 s1 = 7702603, s2 = 14655143, d1 = 44, d2 = 60 Dl.O(d1) = 273120605 Dl.O(d2) = 259988374,74078833,260105183,126370737,260606193 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7198253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7198253, s2 = 2866323, int(edited[s2]) = 0 s1 = 7198253, s2 = 2866323, d1 = 20, d2 = 0 Dl.O(d1) = 263894702 Dl.O(d2) = 85757476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7198253, s2 = 2866323, dlinesl.size( ) = 22 s1 = 14165410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6909834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7039437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7039437, s2 = 15344436, int(edited[s2]) = 0 s1 = 7039437, s2 = 15344436, d1 = 18, d2 = 0 Dl.O(d1) = 261713810 Dl.O(d2) = 31079215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7039437, s2 = 15344436, dlinesl.size( ) = 34 s1 = 3908949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14639619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14639619, s2 = 8163574, int(edited[s2]) = 0 s1 = 14639619, s2 = 8163574, d1 = 7, d2 = 7 Dl.O(d1) = 125615894,127616993,259372394,74448089,61663975,255457656,31468970,31468971,29594952,29594951,38161375,48074188,51995543,48073991,41382066,33346525,25586525,18977886,13541898,9270415,6072289,3799346,3799347,6072291,9270419,13541905,16108564,22245592,29594220,38160581,31468913,25254492,18683626,13290718,13290720,18683628,25254495,18764247,13361736,9131766,9131765,13361733,18764235,25345067,29311396,26304001,19581026,14028514,14028513,18334945,13015336,13015337,18334935,14175005,14175008,19789556,26595022,19876753,14243292,14243290,19097708,19855357,14224929,9779035,9779034,9782893,9779406,6429846,4033859,4033856,6429834,6429868,6429870,9779457,14225575,9788529,6435253,4036890,2419022,1400269,797001,254095487,254566,451771,796999,1400264,2419012,4036871,6435216,8771788,5712566,3555866,2118541,2118542,3555871,269493352,18689508,256111706,1289510,1289511,2223023,3712289,5937023,9078132,259638967,119635101 Dl.O(d2) = 125615894,127616993,259372394,74448089,61663975,255457656,31468970,31468971,29594952,29594951,38161375,48074188,51995543,48073991,41382066,33346525,25586525,18977886,13541898,9270415,6072289,3799346,3799347,6072291,9270419,13541905,16108564,22245592,29594220,38160581,31468913,25254492,18683626,13290718,13290720,18683628,25254495,18764247,13361736,9131766,9131765,13361733,18764235,25345067,29311396,26304001,19581026,14028514,14028513,18334945,13015336,13015337,18334935,14175005,14175008,19789556,26595022,19876753,14243292,14243290,19097708,19855357,14224929,9779035,9779034,9782893,9779406,6429846,4033859,4033856,6429834,6429868,6429870,9779457,14225575,9788529,6435253,4036890,2419022,1400269,797001,254095487,254566,451771,796999,1400264,2419012,4036871,6435216,8771788,5712566,3555866,2118541,2118542,3555871,269493352,18689508,256111706,1289510,1289511,2223023,3712289,5937023,9078132,259638967,119635101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14639619, s2 = 8163574, dlinesl.size( ) = 2 s1 = 14639619, s2 = 8163574, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14639619, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8298789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8298789, s2 = 10199610, int(edited[s2]) = 0 s1 = 8298789, s2 = 10199610, d1 = 1, d2 = 34 Dl.O(d1) = 72185915,85780235,99734169,113748672,127617557 Dl.O(d2) = 109402030,95148238,81090852,257153918,255629722,256600958,257741348,95148243,109402039,123593613,259373348,137324770,140967145,140967146,140967140,127617555,113748671,113748672,127617557,140967144,150365469,150365463,150365464,162497862,260822052,123593606,109402034,109402035,260225472,150365467,150365461,150365462,260591296,140967147,140967148,140967142,137324783,123593609,109402036,109402037,123593598,123593597,123593611,127617561,113748678,99734172,99734170,113748674,127617558,127617560,140967148,140967142,137324783,123593609,109402036,109402037,123593598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13532005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9222701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9222701, s2 = 15682767, int(edited[s2]) = 0 s1 = 9222701, s2 = 15682767, d1 = 11, d2 = 8 Dl.O(d1) = 116607135,130452595,143781772,156306914,167888221,176117848,176117849,185582316,193841686,200922520,206760961,200768807,200768806,193667438,185384248,175892397,165182597,165182596,175892394,185384246,193667437,200768810,206760963,211711020,215756773,264607692,219102947,219102948,220302018,217163790,217163789,217163792,213393250,208791194,208791193,208791195,203192192,263891910,179715266,169491722,158083837,158083836,145684002,132439256,118599570,118599571,132439252,145684000,158083838,161407983,161407982,272590108,165435783,165435791,153655119,140988547,127640203,113772149,99758103,85804104,72209820,72209819,85804103,99758101,113772148,113772153,99758105,85804106,85804107,99758107,113772156,127640207,140988555,153655128,165435798,165435797,165940228,262740991,167888223,156306915,156306914,167888221,263652177,202379480,208139730,212889732,212889733,264607690,264607692,219102947,219102948,220302018,217163790,213393249,208791194,264210872,188715393,179715265,169491721,158083837,145683998,145683999,158083838,161407983,161407982,272590108,165435783,153655121,140988548,127640203,113772149,113772147,99758099,85804102,85804103,99758100,113772148,113772152,99758105,99758104,113772151,113772154,113772155,113772156,127640207,140988554,153655126,156306912,156306913,167888218,178315507,187517412,195527761,202379479,202379480,208139730,212889734,216773985 Dl.O(d2) = 222710164,225043435,227069660,226459929,224354106,221928430,220302018,265277017,220302020,217163793,213393252,208791197,203192193,196514618,263891912,179715268,169491723,158083839,145684001,132439253,118599566,104415520,90263569,90263570,104415522,118599571,118599565,118599564,132439251,145683999,158083838,161407983,161407982,149120851,149120852,140988542,127640195,258841438,85804098,72209815,59472114,48081452,38168612,38168613,48081455,59472118,72209822,85804101,99758098,113772146,127640201,140988545,153655117,165435788,263148763,185582304,193841676,185582300,185582301,176117844,176117843,185582308,185582307,185582306,193841681,200922512,200922514,200922513,206896555,211831659,215862946,219197165,222011248,224427767,222011244,219197158,215862939,211831654,211831653,215862937,215862936,219197156,219197161,219197149,219197148,222011241,222011243,222011242,219197150,215862930,211831648,206896546,200922508,193841677,185582303,185582302,185582305,193841680,200922511,264501757,264758313,219197163,222011246,224427770,226526677,226299488,224174444,221724043,218868837,215487634,211395489,206388562,200334498,193166797,193166796,194268341,186060384,176643923,166002535,166002537,154249264,141592571,128241261,114363419,100338451,86381053,72785003,60046258,60046257,48649677,38728475,256977714,30146931,38728474,39875554,49897123,60046254,72785002,258536264,47826035,48408995,38503120,38503121,257540527,63714286,76815292,72265424,59531289,48143814,48143815,59531292,72265431,84495059,70930837,58213566,46845536,36966702,28468078,28468079,36966706,46845541,38503114,29939494,22576519,22576520,29939496,38503115,48408989,256917183,37904409,46845533,46845534,58213563,59223949,59223948,258103046,91849700,86081146,72483823,59749452,48366833,38465376,29908009,29908007,38465375,48366830,48366831,59749447,62998754,257493084,258026778,41136141,51319795,46845521,36966690,28468069,28468068,36966688,28468073,28468072,36966695,30013228,22641502,16451941,16451942,22641504,255875470,24707706,24707708,32322381,29738165,29738164,38305998,48215750,51319826,62998777,257493096,49905745,39884944,31205538,23718499,23718498,31205536,32322347,256590425,51319789,58213557,48500344,47156808,37251948,28721077,28721076,37251947,47156806,58545181,71276775,72204569,62998829,62998828,62427837,50844059,47769227,37846487,37846486,29279143,29279144,37846493,47769234,257493100,62998788,74360003,74442611,84850675,71276735,71276734,72462565,75981536,62998824,58545146,47156801,256329081,21464846,15463960,10692628,10692627,10692630,10692629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9222701, s2 = 15682767, dlinesl.size( ) = 2 s1 = 9222701, s2 = 15682767, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9222701, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9668315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9668315, s2 = 1458114, int(edited[s2]) = 0 s1 = 9668315, s2 = 1458114, d1 = 13, d2 = 41 Dl.O(d1) = 77867221 Dl.O(d2) = 37505545,28962252,21680084,15640633,10823455,7153110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9668315, s2 = 1458114, dlinesl.size( ) = 44 s1 = 3685377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7142568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7142568, s2 = 8121586, int(edited[s2]) = 0 s1 = 7142568, s2 = 8121586, d1 = 150, d2 = 144 Dl.O(d1) = 263149042,262232644 Dl.O(d2) = 259919018,16116301,16116300,19250949,13755473,9425583,6175970,3864516,3864518,3864449,2314953,2314950,3864443,6175845,9425357,13755122,13755032,13755031,255693683 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6913619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7086442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14887850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14887850, s2 = 8519978, int(edited[s2]) = 0 s1 = 14887850, s2 = 8519978, d1 = 0, d2 = 4 Dl.O(d1) = 29291160 Dl.O(d2) = 141007941,150671240,137674750,123993437,109854669,95651466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14887850, s2 = 8519978, dlinesl.size( ) = 2 s1 = 14887850, s2 = 8519978, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14887850, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 8412634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8412634, s2 = 2817960, int(edited[s2]) = 0 s1 = 8412634, s2 = 2817960, d1 = 38, d2 = 18 Dl.O(d1) = 257028278,48117283,59505144,72240012,259376693,113799023,127667250 Dl.O(d2) = 256859044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8412634, s2 = 2817960, dlinesl.size( ) = 40 s1 = 6999976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6999976, s2 = 2872174, int(edited[s2]) = 0 s1 = 6999976, s2 = 2872174, d1 = 15, d2 = 0 Dl.O(d1) = 261173270,261173272 Dl.O(d2) = 85855017,85855018,99807697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6999976, s2 = 2872174, dlinesl.size( ) = 2 s1 = 6999976, s2 = 2872174, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6999976, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11658850, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8578413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3913808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3913808, s2 = 1302645, int(edited[s2]) = 0 s1 = 3913808, s2 = 1302645, d1 = 18, d2 = 1 Dl.O(d1) = 141089561,133124682 Dl.O(d2) = 32872254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3913808, s2 = 1302645, dlinesl.size( ) = 2 s1 = 3913808, s2 = 1302645, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3913808, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 3689028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8452735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8452735, s2 = 8506488, int(edited[s2]) = 0 s1 = 8452735, s2 = 8506488, d1 = 0, d2 = 0 Dl.O(d1) = 127742898,113869644,113869643,127742897,261725545,127742890 Dl.O(d2) = 127742898,113869644,113869643,127742897,261725545,127742890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8452735, s2 = 8506488, dlinesl.size( ) = 2 s1 = 8452735, s2 = 8506488, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8452735, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 3689198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3689198, s2 = 6597284, int(edited[s2]) = 0 s1 = 3689198, s2 = 6597284, d1 = 18, d2 = 24 Dl.O(d1) = 127743605 Dl.O(d2) = 256382482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3689198, s2 = 6597284, dlinesl.size( ) = 2 s1 = 3689198, s2 = 6597284, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3689198, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 6462810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8238060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8238060, s2 = 14326091, int(edited[s2]) = 0 s1 = 8238060, s2 = 14326091, d1 = 20, d2 = 16 Dl.O(d1) = 141124812 Dl.O(d2) = 127767746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8238060, s2 = 14326091, dlinesl.size( ) = 40 s1 = 7002053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16212432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16212432, s2 = 13485390, int(edited[s2]) = 0 s1 = 16212432, s2 = 13485390, d1 = 16, d2 = 27 Dl.O(d1) = 65223306,78512350,92558646,106877811,100789134,86808176,73196132,269134622,39117263,30519690,23103085,23103084,30519688,39117261,33666216,25859892,24469972,24469971,19202706,19202705,25859867,33666189,42697086,43375310,34276435,34276434,43375308,53899090,43393862,37356243,28816839,21547943,21547945,28816843,25818139,19168243,13687842,13687843,19168226,13687835,9373911,9373912,13687839,19168234,25818123,33618279,42645372,49046476,60449906,60450004,53820343,53820345,60450583,49047573,39118021,39116162,39116164,49045778,46466876,39116404,30519068,23102650,16845740,16845738,23102642,30519043,39116362,49045991,60449555,55422095,53698103,53698104,60450722,73196446,65888085,53820332,43295449,43295450,49025633,49045809,49047620,39118067,30520387,23103599,16846356,11781071,7865866,7865865,11781069,16846352,23103594,256462407,30520192,30519828,23103157,23103156,30519826,39116465,257006709,33848979,26028244,19351330,13840086,13840085,19351329,26028241,256685675,53248611,42796331,39117441,30519831,23103159,16846049,11780906,11780905,16846047,23103154,30519823,26028255,26028256,19681319,14109647,14109646,14108551,14108550,14108536,9704836,9704834,14108531,19680054,23103176,26417662,19681185,14109550,9705711,9705712,9457834,6201255,3881493,2324374,1347532,1347533,2324376,254455777,2399406,2399405,4004013,2400266,2400263,4005315,6383494,9704889,9702788,6381853,6381854,6381864,6381865,6294080,3942357,2399423,1388381,1388382,2399428,2399990,2399991,4004912,6383018,6383481,6218184,6218185,6294311,3942540,2360146,2360147,3942542,6294316,9588617,13964886,13169840,8977476,8977475,254952523,6298442,3945860,2362498,1368018,779085,771652,438370,438374,441976,779132,1368171,1367004,1347457,768915,437070,246769,246771,138517,138519,251040,446095,787439,1384250,2391504,3990381,6200291,6382835,4004792,2399911,1388688,789702,789705,768836,437028,437031,248930,248933,437818,247132,247136,437838,770509,772096,1347819,1347822,2324980,2360606,1366829,778521,778518,1366817 Dl.O(d2) = 4867465,254545229,7691733,254826440,4630227,4630228,7329614,7620296,4821417,4821418,7620298,7744584,4904303,2955988,2955987,4904300,7610378,7610377,7733079,7743584,4903582,2955547,2955546,4899894,2953126,2953127,4899900,4906062,2956987,2956988,4906065,4869161,4869159,7694172,7738926,4899964,4899963,7687346,7691587,7691588,5823095,3632660,3632661,4808792,4808791,7601521,4869229,4869228,7694266,4869287,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956137,1680934,956083,956084,956170,1680821,2896585,4806111,5964396,5964395,9115968,7602044,4897028,4897027,254800011,11623688,11623686,16656120,255517852,6760241,10284836,14950737,20851125,22380724,16223852,16223853,22380726,29738837,38306710,48216456,59603550,72338399,85932327,81023183,67553446,67553448,73386484,60640346,49239720,39312916,30714889,30714888,39312914,257602245,60640339,72338396,85932324,260002987,127781024,129114885,129114877,115183174,115183175,115183166,101105031,270359687,60738926,60738925,73488113,60738927,60738928,73488116,87106910,73488132,60738937,60738938,73488135,87106939,101105060,115183172,127341598,113472272,99462147,85516343,71928744,71928743,71928813,259068864,59189210,258104963,59189201,59189200,71928780,59189225,47789088,47789086,59189221,71928797,71928798,67670356,55330646,44484577,44484578,35107586,27021692,20130106,14437549,14437548,268338567,35107583,269193079,67670378,67670397,67670359,67670358,81136589,81136599,95194024,109449124,260401901,109449144,109449126,95194029,81136604,81136605,81136621,81136622,95194043,85428502,71842712,59103853,47705692,47705691,59103852,47705694,47705695,59103815,71842670,85428472,99369712,113370074,261142167,153254377,153254384,259432552,128463234,114579071,100548362,100548361,114579070,114579062,114579061,114579064,100548357,257577308,128463210,114579050,100548347,257577306,128463200,129589955,115704122,101660210,101660211,115704124,128884831,114982764,114982763,114982762,100929052,270354781,73335506,86946311,87946994,74344680,74344679,74344678,87946993,101919432,115963307,115963305,115963306,129860569,143189221,155741465,167374526,177870171,187141535,195212513,202112026,207911555,264299406,219836336,222569848,224917458,226956736,228301176,226467181,224361484,221936426,219111881,215766313,215766312,264639626,224361482,226467180,228301175,229910630,231338797,232618798,233262314,232050070,230704456,229194424,265645438,265299490,265100052,217630944,213969325,264065434,189902340,189902341,181027922,170912865,159588161,147233059,134016648,120183723,259047354,77866218 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9037259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9037259, s2 = 10360380, int(edited[s2]) = 0 s1 = 9037259, s2 = 10360380, d1 = 69, d2 = 78 Dl.O(d1) = 262396791,127818515,261730177,261442403,261442405,272987224,271991870 Dl.O(d2) = 153856702,261442400,265203513,224473483,226567708,265930679,227451796,265792755,266057387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9037259, s2 = 10360380, dlinesl.size( ) = 52 s1 = 3691265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8601887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8601887, s2 = 10233384, int(edited[s2]) = 0 s1 = 8601887, s2 = 10233384, d1 = 7, d2 = 7 Dl.O(d1) = 260985943,150322944,162458486,153863056,261080350,123549304,109357805,260985943,150322945,153863057,141187440,141187441,153863055,262245453,261182983,127824779,127824775,261182981,153863055,262245453,262245455,162458485,162458486,153863056,261080350,123549304,109357805,95103686,81046342,67578514 Dl.O(d2) = 260985943,150322944,162458486,153863056,261080350,123549304,109357805,260985943,150322945,153863057,141187440,141187441,153863055,262245453,261182983,127824779,127824775,261182981,153863055,262245453,262245455,162458485,162458486,153863056,261080350,123549304,109357805,95103686,81046342,67578514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8601887, s2 = 10233384, dlinesl.size( ) = 2 s1 = 8601887, s2 = 10233384, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8601887, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9683711, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8124564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8453607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8229790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16334459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16334459, s2 = 6965782, int(edited[s2]) = 0 s1 = 16334459, s2 = 6965782, d1 = 32, d2 = 35 Dl.O(d1) = 52646248,42260571 Dl.O(d2) = 260699150,165739131,262325024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16334459, s2 = 6965782, dlinesl.size( ) = 2 s1 = 16334459, s2 = 6965782, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 16334459, Dl.E( ) = 46, 2e-05 seconds used appending s1 = 8540044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8540044, s2 = 10357517, int(edited[s2]) = 0 s1 = 8540044, s2 = 10357517, d1 = 25, d2 = 26 Dl.O(d1) = 153965469,263155635,185840010,176402155,165739297,261177618,127932266,127932263,141293542,153965470,165739292,176402154,263155636,176225207,262718656,261177613,127742651,261725527,263155635,185840010,176402155,165739297,261177618,127932266,127932264,261177614,165739293,153965472,141293545,127932266,127932264 Dl.O(d2) = 165739289,165546188,153766207,261177610,141293538,272559342,176225209,185684641,193935259,263904050,265802261,274254328,264684910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8540044, s2 = 10357517, dlinesl.size( ) = 8 s1 = 7288335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3919491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8366310, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3695750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1862447, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11658610, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7078081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7078081, s2 = 3696286, int(edited[s2]) = 0 s1 = 7078081, s2 = 3696286, d1 = 5, d2 = 0 Dl.O(d1) = 262253537 Dl.O(d2) = 86090821,100053355,114079805,127960090,141319827,153990320,153990323,153990322,261739213,127960092,114079808,100053357,86090822,86090821,260014667,114079817,127960095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7078081, s2 = 3696286, dlinesl.size( ) = 2 s1 = 7078081, s2 = 3696286, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7078081, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 3696290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15073921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15073921, s2 = 3696428, int(edited[s2]) = 0 s1 = 15073921, s2 = 3696428, d1 = 0, d2 = 0 Dl.O(d1) = 4567137,7244053,255059987,21873731,29184941,37745997,47667961,59067893,258717577,99341780,113344886,127203632,140549862,153231290,263126163,193588743,200700315,201081531,194022521,185784830,176340572,165672468,165672467,165672469,153895967,141223863,261185917,113986728,99963565,86004613,72408239,59672937,48285809,256410045,29803352,256952267,59672935,72408237,86004612,99963562,113986727,127864671,141223862,153895964,165672466,165783114,154015355,141345303,127982119,114097128,100066049,86100259,72501168,59766737,48383889,38481297,268607958,16382567,11401679,7576037,4791671,2888308,1676369,953750,953752,1676377,2726575,2726577,4536012,7144050,7144589,7144588,10811840,7197126,7197123,10884580,15721174,14387271,11401721,11401722,16382599,14355615,254685665,6479395,6501643,6491713,6491716,9880920,9897689,6504796,4076113,4076115,6504801,9897693,10813282,10813281,14356702,9878023,6489525,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454035,255915,255913,454028,801243,1408277,2431200,4062299,6482783,9868748,9873213,6485975,4064197,4064198,6485978,9873218,14367061,10889239,7200963,4536776,4536775,7200957,9875943,6487967,6487956,6487957,9875926,12144661,12144662,9889922,9889919,14371368,9877353,9877352,7571413,4788365,4788363,7571411,11395386,16373892,20074591,14392075,14392076,14393466,14393467,14376396,9882366,9882365,11395382,14391719,254818745,7976488,9893345,7197465,7197466,9881274,6491967,4067788,2434091,2434092,4067790,6491970,254469031 Dl.O(d2) = 4567137,7244053,255059987,21873731,29184941,37745997,47667961,59067893,258717577,99341780,113344886,127203632,140549862,153231290,263126163,193588743,200700315,201081531,194022521,185784830,176340572,165672468,165672467,165672469,153895967,141223863,261185917,113986728,99963565,86004613,72408239,59672937,48285809,256410045,29803352,256952267,59672935,72408237,86004612,99963562,113986727,127864671,141223862,153895964,165672466,165783114,154015355,141345303,127982119,114097128,100066049,86100259,72501168,59766737,48383889,38481297,268607958,16382567,11401679,7576037,4791671,2888308,1676369,953750,953752,1676377,2726575,2726577,4536012,7144050,7144589,7144588,10811840,7197126,7197123,10884580,15721174,14387271,11401721,11401722,16382599,14355615,254685665,6479395,6501643,6491713,6491716,9880920,9897689,6504796,4076113,4076115,6504801,9897693,10813282,10813281,14356702,9878023,6489525,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454035,255915,255913,454028,801243,1408277,2431200,4062299,6482783,9868748,9873213,6485975,4064197,4064198,6485978,9873218,14367061,10889239,7200963,4536776,4536775,7200957,9875943,6487967,6487956,6487957,9875926,12144661,12144662,9889922,9889919,14371368,9877353,9877352,7571413,4788365,4788363,7571411,11395386,16373892,20074591,14392075,14392076,14393466,14393467,14376396,9882366,9882365,11395382,14391719,254818745,7976488,9893345,7197465,7197466,9881274,6491967,4067788,2434091,2434092,4067790,6491970,254469031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15073921, s2 = 3696428, dlinesl.size( ) = 2 s1 = 15073921, s2 = 3696428, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15073921, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 3696577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8311414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6912418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13737913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9705263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13658873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3698386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3698386, s2 = 12996085, int(edited[s2]) = 0 s1 = 3698386, s2 = 12996085, d1 = 19, d2 = 22 Dl.O(d1) = 128054125 Dl.O(d2) = 147162925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3698386, s2 = 12996085, dlinesl.size( ) = 16 s1 = 3698687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3698687, s2 = 9259568, int(edited[s2]) = 0 s1 = 3698687, s2 = 9259568, d1 = 2, d2 = 5 Dl.O(d1) = 128066716 Dl.O(d2) = 185954049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3698687, s2 = 9259568, dlinesl.size( ) = 14 s1 = 7163988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8377184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6913066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8209224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8445203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8355405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7658503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3924477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7073420, s2 = 15580344, int(edited[s2]) = 0 s1 = 7073420, s2 = 15580344, d1 = 44, d2 = 12 Dl.O(d1) = 262197070 Dl.O(d2) = 57743924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7073420, s2 = 15580344, dlinesl.size( ) = 2 s1 = 7073420, s2 = 15580344, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7073420, Dl.E( ) = 68, 2.48e-05 seconds used appending s1 = 7070281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7070281, s2 = 3737582, int(edited[s2]) = 0 s1 = 7070281, s2 = 3737582, d1 = 73, d2 = 41 Dl.O(d1) = 262159664,141552883 Dl.O(d2) = 129663993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7070281, s2 = 3737582, dlinesl.size( ) = 68 s1 = 8455617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8189260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7722972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7722972, s2 = 9328625, int(edited[s2]) = 0 s1 = 7722972, s2 = 9328625, d1 = 41, d2 = 37 Dl.O(d1) = 273726329,261263092,259473656,268429732,255540908,270337075 Dl.O(d2) = 273539242,270310946,99343912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7722972, s2 = 9328625, dlinesl.size( ) = 30 s1 = 14293075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13726179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13726179, s2 = 8151644, int(edited[s2]) = 1 s1 = 8580977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8580977, s2 = 7247739, int(edited[s2]) = 0 s1 = 8580977, s2 = 7247739, d1 = 31, d2 = 34 Dl.O(d1) = 165984167,154227828,141567117 Dl.O(d2) = 262268251,176626515,186044081,264237915,212087129,273895672,264521071,265004735,274364266,272239040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8580977, s2 = 7247739, dlinesl.size( ) = 38 s1 = 6913845, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3704029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7113271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7113271, s2 = 6556972, int(edited[s2]) = 0 s1 = 7113271, s2 = 6556972, d1 = 78, d2 = 103 Dl.O(d1) = 262744690,165994747,261208562 Dl.O(d2) = 72767679,60030719,48637782,38719892,255934391 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7703217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703217, s2 = 10353231, int(edited[s2]) = 0 s1 = 7703217, s2 = 10353231, d1 = 30, d2 = 35 Dl.O(d1) = 273135840 Dl.O(d2) = 114352327,114352326,258790412,49925703,61405304,74185150,274011091 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7655263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7655263, s2 = 3704136, int(edited[s2]) = 0 s1 = 7655263, s2 = 3704136, d1 = 3, d2 = 2 Dl.O(d1) = 271289794 Dl.O(d2) = 128231962 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165256, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10228052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8573012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3704918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9683452, s2 = 9463261, int(edited[s2]) = 0 s1 = 9683452, s2 = 9463261, d1 = 11, d2 = 12 Dl.O(d1) = 1540215,254334525,7043774,10665417,15427839,13326326,9105418,9105417,13326325,18720530,18567190,13194207,13194208,18567191,18575436,13200410,8998792,8998791,13200409,13326324,18574333,13199332,13199331,18574332,18565447,13199194,8997827,5874389,5874391,8997832,13199204,18574158,13200178,9105381,9105380,13326298,13192354,13192353,18564778,18720551,25127795,18575198,18558956,254437558,8999241,8999240,13200866,13200906,18559084,13187899,13187901,18559088,18559057,13187864,8990030,254295104,18559052,18574138,13199180,8997821,8997822,13199186,13200053,18567312,25118197,25128111,18575692,13200751,8999104,5875236,5869422,3664874,2193412,2193414,3664880,5869429,8989920,8999110,8999111,9773167,9773166,8998425,5874757,5874756,6425890,9773141,13200168,8999071,8999070,8999237,8989739,5869311,3664819,3664818,5869306,8989729,8481666,8481668,12519273,11134946,7385700,4665925,2811020,2811021,4665934,7385717,11134970,16036771,11134985,11134984,13187895,13187896,11134895,9773182,6425910,6425909,9754867,9754864,12611756,8560329,8560328,12611755,17813656,13430632,254135108,3758978,3758977,6010028,9182538,8324856,5372444,3303279,3303278,5372441,8324850,12324123,13421366,9176362,9176361,12518122,12518121,9175069,9171711,6003010,3754146,3754148,6003015,9171719,9171729,9171728,13348916,9121424,5968563,5968566,3754158,3754159,6003033,8324615,12323903,12325044,12325043,17480951,23813938,23813939,31300137,39974658,49990712,61468124,74246710,87851479,101825973,115872536,129771737,143101720,155652413,167283320,177776989,187050450,195127642,194282922,186075154,176658648,166017574,154264839,141608976,128258508,114382078,100358597,86402191,72806611,60068924,48672563,38750962,30167852,22778857,16563559,11545747,11545750,16563564,16645018,11612969,7732623,7732622,11612967,254479432,11548597,7683180,7683181,11548599,16393881,13094350,11609786,7729608,4893006,4869857,4869858,7695066,4892981,4892980,6225026,6225028,9145470,5984774,3742255,3742256,4798404,5984769,3742253,3742252,5984767,9145455,11412064,11114320,11114226,7598343,7371464,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,1681134,2897186,2898788,1681923,956513,956517,1681911,2898635,2898638,4807439,2897435,2897432,2951890,1711899,972891,972889,1711934,2893951,1679485,1679484,1683420,957249,539428,539427,957240,1683405,254360429,7610920,7613313,4816756,2902777,1683970,1683969,2902775,4816754,7613312,11431061,255033164,7687297,4864261,2931098,2931096,2947095,4890501,6813476,6813475,7734549,11615151,11614831,11414595,10983280,10983278,11418864,7589355,7589356,11417241,11417242,11614145,10701738,7070258,4451433,4451432,4099348,2452216,1417692,806547,457044,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895231,4803625,5683607,7618882,7618885,7621247,7621246,11457995,16445099,255253224,30001941,38572539,48485728,51211025,41054018,32259742,24659357,18200293,12909412,8781764,5719467,3560609,2121611,2121610,1236819,254110605 Dl.O(d2) = 18200296,24659358,32259743,257137511,258335577,89606883,103721814,117875555,131702653,261910389,168801877,179080518,188144735,260905248,170924789,159599833,147244024,134026905,120193349,256671354,77875570,64686098,52771900,52771899,52771901,64686101,77875571,91797962,105992616,120193350,134026906,147244025,259695028,181039954,189913553,197564707,195390308,187353705,178120913,262002276,167661403,156055591,143519060,130189303,116350555,102255982,88257618,74627289,61835097,255686796,254937294,28749566,28749567,31435824,268150986,25093802,20007231,20007232,24128198,31635079,26887819,20007350,20007348,26887814,33198077,25451745,18853417,18853418,25451749,19668413,14098782,14098783,13178463,13178465,13743861,16554046,11538379,10707728,7073995,5864706,5864707,6128967,6128969,9356810,9540187,9540188,9843103,9843102,14328731,20007429,16444821,16444822,22632010,30001556,38572130,48485301,59876794,72615135,256152832,257227110,48200762,38291349,29724377,29724376,38291348,48200761,59587234,71122185,58404404,47032134,37143445,37143443,37143448,47032139,47032156,37143466,28629822,255829180,268070848,4423300,4423299,7031357,10649064,15406640,21391243,28629805,37143433,37143408,28629789,28629788,37143405,29653786,22302148,22302149,29653788,38219808,48129832,59517119,48129838,38219812,257440819,257440821,71122140,84686459,98611180,112606294,126475120,139846593,152560159,164418937,175203201,263496695,200302765,200287467,193114671,184755575,175181545,164392544,152528770,139811301,126437971,112568854,98575275,84652341,71089954,58373971,47003893,37118019,28608180,21373520,15392594,10637831,10637830,13352117,9124306,5970614,4397855,2635298,1521783,1521784,2635301,4397863,4913846,2962037,2962040,4913849,7758731,10676521,10676522,11796184,11796186,16864281,22587755,23038930,16794255,11742596,11742597,7908335,7312216,4615478,4615479,7312220,11037799,14092953,14092952,14096223,16571147,17846020,16567973,16567974,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692814,9692812,14087625,11837991,11837990,16915111,16914326,11837461,7911149,7911148,11837457,9688021,9688022,14084512,19649922,23393559,30818891,24106732,23113687,16854613,16854612,23113685,30532254,255920898,28008123,255654980,37256900,30699279,255527525,17024330,23283637,30699280,39296928,49224015,60625269,73370963,63129468,63129467,76135374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9683452, s2 = 9463261, dlinesl.size( ) = 2 s1 = 9683452, s2 = 9463261, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9683452, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 3928964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3928964, s2 = 6919149, int(edited[s2]) = 0 s1 = 3928964, s2 = 6919149, d1 = 28, d2 = 22 Dl.O(d1) = 141618251,154274182,166027006,154274186,141618260,128267622,128267621 Dl.O(d2) = 22789783,16573886,16573885,22789781,30178681,258794363,100368180,114391413,105454812,105454811,119692725,260085874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3928964, s2 = 6919149, dlinesl.size( ) = 8 s1 = 9200589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9736859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15164538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9431454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9431454, s2 = 9581243, int(edited[s2]) = 0 s1 = 9431454, s2 = 9581243, d1 = 26, d2 = 36 Dl.O(d1) = 259300083,98580188,98580187,98580201,84657223,71094644,58378333,58378332,71094642,71094612,58378309,47007676,37121272,28610826,28610827,37121275,47007681,58378316,259300081,259594413,84657224,71094647,58378337,47007699,37121288,28610839,21375624 Dl.O(d2) = 166843075,155150013,142505953,260543794,49347879,39421498,258840829,256638971,25392651,18805838,18805837,25392648,28757600,21498256,15491529,10712721,10712722,15491531,21498261,28757610,22091730,15984520,15984519,22091728,17451868,12302531,8309424,8309423,12302530,17451867,23781956,23858713,23858715,30764987,23341790,17075718,254972288,258213999,258525520,259768830,86007587,99966895,113990377,127868652,262485873,261988187,260886797,270883160,19025278,25642267,257590520,21869528,16907410,15795161,10943606,7241928,4565715,2745880,2745881,4565610,7241779,7241785,10800410,7136270,5569174,4566021,2746084,1591542,904823,510324,286081,286083,510332,904840,904790,510309,510308,904783,1591464,1591281,1591280,1708553,971181,971182,254547769,255118081,22858624,30253703,38837555 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9581242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 638590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8304666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13487151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3466451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3711519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8670864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3711577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3711577, s2 = 8445202, int(edited[s2]) = 0 s1 = 3711577, s2 = 8445202, d1 = 9, d2 = 17 Dl.O(d1) = 128437220 Dl.O(d2) = 258756867,99845162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3711577, s2 = 8445202, dlinesl.size( ) = 14 s1 = 3712329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6915950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6915950, s2 = 11132886, int(edited[s2]) = 0 s1 = 6915950, s2 = 11132886, d1 = 163, d2 = 226 Dl.O(d1) = 260051601,128584531 Dl.O(d2) = 256864607,28658584,21414265,268383795,20246847,268341347,15343445,15343444,21313893,28536862,256853649,28536865,28536866,21414265,268383795,20246847,14528898,13350759,9123030,5969701,5969702,9123031,13349872,9996305,6569731,6569730,9996303,9996472,9996470,14419923,9918401,9384966,9384967,13702466,18049994,15348957,14527785,14527783,14420467,9918992,6518908,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,1303001,1303002,2246420,2204623,2204626,3682782,5896112,6415059,5872479,3666767,3666769,5872491,5611963,5611959,8630230,254917591,5979097,3738920,3738919,5979093,9136946,6998782,4398414,2635610,1521939,862883,862882,1521937,2635606,4398408,6998774,10607286,15354297,14443159,9935672,6530162,6530161,9935668,254442706,10632826,7018780,7018781,10607272,10607273,10904948,7212168,7212169,10904950,9165370,5998738,3751467,3751468,4085158,2633790,1520968,1520969,2633795,4395138,6993444,10600071,13356998,9997166,9997165,9921573,254471559,2444443,2444444,4085804,267947491,14423085,11332563,7530330,4763402,4763403,7530334,11332565,10602007,10602006,12824938,8719415,8719416,6148083,3847107,3847108,3847049,3846986,2305133,2305132,3846985,6147875,6147902,9384358,6569600,6569598,9996122,11646257,11646256,13351650,12725586,8646915,255600371,31875246 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2588001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2588001, s2 = 13817933, int(edited[s2]) = 0 s1 = 2588001, s2 = 13817933, d1 = 0, d2 = 53 Dl.O(d1) = 73067249,86672630,260052053 Dl.O(d2) = 166316174,154595704,154595705,166316176,176914881,176914880,176914889,176914888,186290652,194464256,273876379,207359714,264531868,207359718,212219997,212219995,216191306,219482677,216191301,212219992,264250222,201465901,207359712,263935836,194464237,273876377,201465930,201465929,207359732,212220007,212219989,264250220,194464232,194464233,201465899,264250217,212219987,207359729,201465927,194464268,263935835,186290649,186290650,176914896,166316185,166316183,272578456,141951339,154595713,166316170,176914876,186290637,194464233,201465900,263935846,194464278,201465922,194464262,194464261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2588001, s2 = 13817933, dlinesl.size( ) = 32 s1 = 8249864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4299694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4299694, s2 = 5200795, int(edited[s2]) = 0 s1 = 4299694, s2 = 5200795, d1 = 1, d2 = 5 Dl.O(d1) = 165495955,165495956,165495957,261793206,128615934,128615933 Dl.O(d2) = 216074017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4299694, s2 = 5200795, dlinesl.size( ) = 2 s1 = 4299694, s2 = 5200795, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4299694, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 3937566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9714308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3717751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3717751, s2 = 4204379, int(edited[s2]) = 0 s1 = 3717751, s2 = 4204379, d1 = 9, d2 = 9 Dl.O(d1) = 128751514,142108286,154744226,263199807,186394575,189792574,180903516,170772044,159429603 Dl.O(d2) = 128751514,142108286,154744226,263199807,186394575,189792574,180903516,170772044,159429603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3717751, s2 = 4204379, dlinesl.size( ) = 2 s1 = 3717751, s2 = 4204379, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3717751, Dl.E( ) = 10, 2.86e-06 seconds used appending s1 = 7927076, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7064347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165304, s2 = 16001037, int(edited[s2]) = 0 s1 = 14165304, s2 = 16001037, d1 = 46, d2 = 61 Dl.O(d1) = 260663987,129103092,129103093,137342341,123609223 Dl.O(d2) = 49094603,257001742,30566928,28476526,256309971,46853055,47484531,37579012,29031775,21740499,21740498,29031771,37579006,36519250,32703675,32047484,30566904,29939543,22576547,16393536,11409718,7581728,7581727,11409714,16393528,22576531,29939514,32056864,24490171,24490172,29443201,38006103,40913995,40914000,39164604,39164602,46287038,36434043,27975239,27975240,36434047,46287041,38877820,30291900,30291901,256917181,40082917,31402269,31402268,40082916,39470130,30866420,23437629,23437628,29689208,22336584,22336585,29689209,255267108,29247416,33323600,25562096,18950110,18950109,25562095,33323599,36896300,28398793,21178475,21178476,18952796,13516205,9248760,6057229,6057228,9248758,13516201,13534193,10547989,6956475,6956474,9251421,12055960,9242561,6053314,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514326,18950742,18950744,13526846,13526845,17441319,17441318,21245459,28467135,36965959,46844813,258036297,70930066,270112538,81086597,67620919,55283046,255731660,26981386,20092558,254472776,6512217,6512219,9908290,14405616,20092482,20092473,255356075,254702889,4217774,4217776,6731969,10245796,14901562,20793862,18874638,13449917,13449916,18874632,25476158,25316444,18738890,18738889,15790757,15790755,21863702,255826794,47656268,59056678,257109322,258301954,59584034,48197587,38288435,29721936,256403781,23450496,23450497,30881822,39487754,49417384,60817262,73563618,87181409,101178275,115254474,129184097,129750812,115851283,101804924,260116081,101804924,87830866,74225877,269396675,17459473,17459474,23791064,23791083,17459483,17459485,23791087,29546576,38109919,256525270,64575315,58923541,58923542,48461770,38549428,38549430,30233974,28071119,254764028,20266590,20266588,27190820,24584972,18140951,12864165,12864164,18140949,24584969,32170816,255894130,13064763,8902511,8902510,8902501,5809183,5809184,8902504,13064755,18393726,256090287,34047862,27997328,20833094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165304, s2 = 16001037, dlinesl.size( ) = 14 s1 = 14981570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14981570, s2 = 8753557, int(edited[s2]) = 0 s1 = 14981570, s2 = 8753557, d1 = 1, d2 = 11 Dl.O(d1) = 58603085,60509072,73255933,86868767 Dl.O(d2) = 166494393,177075791,177075794,263591729,201567744,207445077,274109947,212291383,207445071,201567740,201567741,207445072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14981570, s2 = 8753557, dlinesl.size( ) = 2 s1 = 14981570, s2 = 8753557, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14981570, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 13270797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6917561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6917561, s2 = 13825373, int(edited[s2]) = 0 s1 = 6917561, s2 = 13825373, d1 = 18, d2 = 23 Dl.O(d1) = 260068249,128858916 Dl.O(d2) = 262300043,154852882,166556457,263205959,194631107,194631106,263945241,207483147,207483151,212325500,264792501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6917561, s2 = 13825373, dlinesl.size( ) = 26 s1 = 7637182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7637182, s2 = 15528004, int(edited[s2]) = 0 s1 = 7637182, s2 = 15528004, d1 = 110, d2 = 143 Dl.O(d1) = 270355195,100940579,114994733,128896740 Dl.O(d2) = 257092946,256038172,17802461,12602068,8551905,8551907,5549727,5549726,8551932,12602132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13501463, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14353429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7153218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4144261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4144261, s2 = 9028099, int(edited[s2]) = 0 s1 = 4144261, s2 = 9028099, d1 = 42, d2 = 45 Dl.O(d1) = 154901338,142267387,142267389,261791881,128915763,115013587,100959218,100959219,260670963,100959220,100959221,115013595,128915769,142267389,261791881,128915763,115013587,115013588,261245873,154901331 Dl.O(d2) = 70506900,84042070,97912807,111847063,125663149,139002201,151706703,163585860,174426554,163585864,151706706,143664734,130339467,259260546,260481216,156195071,167790733,259260544,258009524,139002199,125663148,125663149,139002201,151706703,163585861,174426556,184080045,192534836,184080051,174426560,163585862,163585863,174426563,178235738,167790736,167790738,178235739,187452652,195473406,262134796,195473414,187452662,178235743,167790741,156195076,156195075,261613132,272514874,260481220,187452647,178235730,174426570,174426569,174426571,184080057,187452647,187452648,195473402,192534837,192534838,187452667,178235746,167790746,167790745,178235745,187452665,184080043,174426555,174426554,163585864,151706706,143664734,130339467,259260546,260481216,156195071,167790733,260481218,178235744,178235745,187452665,184080043,174426555,174426554,163585864,151706706,143664734,130339467,259260546,260481216,156195071,167790733,259260544,258009524,139002199,125663148,125663149,139002201,151706703,163585860,174426554,163585864,151706706,143664734,130339467,259260546,260481216,156195071,167790733,259260544,258009524,139002199,125663148,125663149,139002202,258009526,174426559,184080050,192534843,195473404,195473409,271755040,167790730,156195070,258009520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4144261, s2 = 9028099, dlinesl.size( ) = 2 s1 = 4144261, s2 = 9028099, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4144261, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 3944906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8520661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7003303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7003303, s2 = 8081064, int(edited[s2]) = 0 s1 = 7003303, s2 = 8081064, d1 = 16, d2 = 22 Dl.O(d1) = 261213416 Dl.O(d2) = 60667925,54872826,44072309,44072312,38790875,30206196,30206197,36963197,36963196,38009551,29447333,22113842,22113843,29447337,28642993,28642992,37158785,43297937,37651928,29102959,21804822,21804821,28870104,37411411,47319865,58708817,58210275,46842183,36963222,28463657,21240159,21240158,28463663,36963227,30043653,30043654,38617540,38617541,38617628,38617629,38009532,31318412,23828653,17490842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003303, s2 = 8081064, dlinesl.size( ) = 2 s1 = 7003303, s2 = 8081064, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7003303, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 6825751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8014356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13504193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13504193, s2 = 1551762, int(edited[s2]) = 0 s1 = 13504193, s2 = 1551762, d1 = 11, d2 = 0 Dl.O(d1) = 115134991,129062612 Dl.O(d2) = 39300172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13504193, s2 = 1551762, dlinesl.size( ) = 2 s1 = 13504193, s2 = 1551762, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13504193, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 10352343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352343, s2 = 3029526, int(edited[s2]) = 0 s1 = 10352343, s2 = 3029526, d1 = 5, d2 = 11 Dl.O(d1) = 259449368,48107994,59496510,72232529,85825453 Dl.O(d2) = 105498266,91276095,77356206,64208525,64208526,77356207,259647973,119736549,106157726,91959377,78031939,256295630,25723181,254490880,256664943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352343, s2 = 3029526, dlinesl.size( ) = 14 s1 = 9452768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2925246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3727816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3727816, s2 = 8584743, int(edited[s2]) = 0 s1 = 3727816, s2 = 8584743, d1 = 55, d2 = 2 Dl.O(d1) = 129123995,142501138,129124042,129124041,260590462,155145352,155145351,166838645,262230584,129124043,115192254,101114293,101114294,115192256,271334356,142501209,129124053,115192264,101114297,87116325,73497622,73497623,87116327,101114303,115192273,129124060,129124068,142501201,155145361,166838646,155145281 Dl.O(d2) = 87116326,87116327,101114303,115192272,129123993,115192223,101114275,101114276,259372506,115192221,115192220,115192268,101114301,101114303,115192273,129124062,142501221,142501227,261167046,166838714,155145382,142501226,129124066,129124067,142501196,129124040,115192252,115192251,129124037,142501189,155145340,155145341,166838701,270839426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3727816, s2 = 8584743, dlinesl.size( ) = 14 s1 = 9590305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3948461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3948461, s2 = 5575057, int(edited[s2]) = 0 s1 = 3948461, s2 = 5575057, d1 = 43, d2 = 101 Dl.O(d1) = 142501818 Dl.O(d2) = 228620455 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15996499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15996499, s2 = 8651913, int(edited[s2]) = 0 s1 = 15996499, s2 = 8651913, d1 = 7, d2 = 10 Dl.O(d1) = 37942331,37999711,29436958,22104243,22104240,29436955,37999728,47915704,39418345,255513016,23384247,30813128,33104694,25369884,25369885,33104696,42053845,49347793 Dl.O(d2) = 30813129,255957510,49347787,39418339,39418340,49347789,60750625,60750629,73499532,87118138,101116109,115194041,260654206,155147140,166840469,177388409,273141858,177388416,186704805,194818619,194818620,262763250,166840474,155147144,155147143,166840472,155147148,260654208,129125773,142502904,155147145,166840476,262763252,194818617,262763250,166840474,262288360,273141858,177388416,177388410,166840471,155147141,155147140,166840469,177388409,273141858,177388416,186704805,194818619,194818620,262763250,166840474,155147144,155147143,166840473,273141856,166840471,155147141,155147140,166840469,166840479,155147148,260654208,129125773,142502904,155147145,166840475,177388413,177388408,177388407,186704803,263586082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15996499, s2 = 8651913, dlinesl.size( ) = 2 s1 = 15996499, s2 = 8651913, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15996499, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 9342207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13308389, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3219036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13817583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9703251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1074595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1074595, s2 = 9403018, int(edited[s2]) = 0 s1 = 1074595, s2 = 9403018, d1 = 15, d2 = 13 Dl.O(d1) = 257303614,30247465,30247466,37064757,37064758,38830868,30247401,30247402,38830870,30247538,22853072,22852932,22852933,22853006,30247457,38830946,48751048,60145401,259424283,100434546,114459017,100434483,86477271,86477272,99129238,113120168,126978771,140333381,141685342,262276799,176723532,176723531,263491078,170595018,159259880,159259878,146889152,133636171,119766554,105533255,105533254,119644359,119644361,105407658,91185729,77266327,64119200,64119199,64119202,52270106,52270107,52270110,64119207,52270116,41931184,32990515,25266649,18694895,18694896,25266651,32990518,41931189,52270124,64119227,60801328,49400687,39472167,39472166,49400685,60801327,73548354,77991423,64797150,64797149,256029850,72730767,256030002,38685408,30109055,22728280,16522874,11515182,11515181,255490787,30109053,38685406,48601486,59993356,70843395,58128971,46760705,46760706,58128973,53811587,43286467,43286466,53811582,256029900,50228287,40206944,40206945,50228292,61709050,61708633,50227841,50227842,57627393,46282985,46282986,57627398,62753753,75700757,70317760,70317758,70317547,57627119,46282700,46282699,36430172,36430158,27971424,27971425,36430162,46283002,57627413,57627428,57627427,53701311,53701310,65758464,70317783,70317782,70317568,57627157,46282739,46282738,40206043,40206042,50227594,43189508,43189509,53701295,50685793,40627730,40627729,50685790,62205090,57627146,57627145,46282989,36430144,36430146,46282992,57627405,70317566,70317727,269877808,83842227,70317730,70317731,83842256,97699695,83842345,70317742,257383621,257383619,70317740,60478999,49075898,39146105,36430196,27971444,27971445,36430199,46282987,46282988,57627400,70317729,57627444,57627446,70317772,83842364,258262292,83842342,257653394,46283055,256805431,27971461,20808110,20808109,27971459,36430218,268259466,83842367,97699737,269403226,57627448,46283028,36430177,255781941,20808088,255781947,20808113,24381114,31912956,40627627,50230871,61711113,70317543,57627108,46282690,36429889,27971248,27971249,269403228,10254016,6737744,4221764,2524260,1454703,823665,823666,1454705,2524267,4221774,6737766,10254054,14912853,20808115,27971333,20808030,20808031,27971337,36430011,36430187,27971440,20808092,20808091,27971437,36429953,27971294,20808004,14912786,10254020,10254022,14912791,20808012,27971299,31912953,40627624,50685682,57627184,47074398,37180567,37180568,46282761,50685690,40627634,31912962,31912963,36429929,27971278,20807992,14912777,14912778,10254038,6737757,4221770,2524265,2524264,4221768,6737754,10254034,14912813,20808047,256268313,46282745,57627136,46282717,46282716,57627132,57627130,57627129,57627337,57627310,46282907,36430065,27971372,27971371,36430060,46282900,57627292,57627293,70317644,70317636,57627287,57627289,61711290,50231060,40210103,40210102,40210170,40210171,37180595,28661020,28661021,37180601,31524195,24022419,24022418,31524190,36430088,27971385,27971384,36429985,27971330,20808027,14912802,14912800,20808023,27971322,36430003,46282831,57627218,256753948,83842267,83842238,70317661,57627315,57627316,64418094,58451516,58451518,71173637,83842320,70317700,57627350,46282943,46282942,57627346,58467580,47089553,37193693,37193692,47089551,255471766,34566123,34566122,43838012,255911530,47074424,40210047,31524180,31524181,40210049,47074449,58451439,47074447,37180615,37180609,37180607,46282820,36429994,36429995,46282823,46282825,57627237,70317610,57627318,57627319,70317669,59484331,57627320,57627321,257319830,70317607,256753946,57627215,70317598,83842254,83842231,83842232,72221162,59484427,59484426,70317694,57627342,46282940,36430104,27971395,20808062,20808064,27971400,36430116,46282957,257517540,62952777,57627296,46282890,40210105,40210102,40210170,40210171,37180595,28661020,28661021,37180601,31524195,24022419,24022418,31524190,36430088,27971385,27971384,36430082,46282923,46282800,36429979,36429978,257383607,61711350,50231133,50231134,61711140,61711141,59655255,48268572,38358091,31524211,24022431,255189161,8465127,5470917,3365597,3365599,5470921,8465130,12497183,17672730,24022445,268684271,47074433,40210144,256030046,17672744,12497192,12497193,17672746,24022472,31524261,40210179,50230869,50230868,50231147,40210185,31524265,31524266,40210190,40210119,40210120,50230900,50230899,50231117,61711340,74493298,74493297,61711152,50230918,40209957,31524104,24022358,17672693,12497158,8465117,5470913,5470914,8465121,12497164,17672707,24022383,31524133,40209996,50230929,269403232,50230908,40209949,31524094,31524095,24022401,17672714,12497171,8465123,8465122,12497168,17672711,24022396,31524153,40210020,50230974,61711148,61711274,61711133,50230906,40209947,31524091,31524090,40209946,50230872,50230874,61710922,61710921,50231099,50231100,258275321,88105289,102091859,115188136,129120150,269809302,102091764,102091763,88105204,74493311,61711166,61711167,74493315,74493234,61711021,61711024,61710929,50230699,40209780,40209778,48587681,50230437,40209518,40209510,31523760,31523761,31523768,40209526,50230443,50230542,40209596,31523816,31523815,40209592,50230537,50230737,40209819,40209820,50230738,61710973,74493181,74151811,61711102,58932273,47550181,47550180,58932270,71654038,85219775,88104682,74492844,61710620,50230892,40209937,40209936,50230891,61711122,61711124,61709072,61709073,53872149,50230786,50230787,254863030,50230441,40209522,31523766,24022132,17672553,17672554,24022135,31523772,40209532,33480120,33480119,31523822,24022168,24022167,31523818,40209602,39491650,32179025,32179024,40957928,50230718,61371571,49891056,49891057,40209908,37644554,37644552,47550182,255165738,256004394,101159940,115237434,129168650,142545244,142545210,142545208,155188803,166880660,166880675,155188814,142545216 Dl.O(d2) = 101159928,257638314,258247448,269868936,257055796,271373339,130351307,116514919,102419404,259780436,50499027,40463043,31768373,24256235,17878606,17878607,24256237,31768376,40463050,50499038,40463046,40463047,50499039,258293745,88418964,102419413,109485141,259455904,67710415,55370529,257020518,35147594,44524246,44524249,35147596,35147595,35147613,44524268,55370555,256698404,88108226,88108225,86847081,73234056,60487190,60487191,257456910,46605148,36717041,32852063,25145139,18589353,13210126,9004906,9004907,13210129,18589362,255427184,23033666,16790190,11739852,11739851,16790187,23033662,255327184,38538043,254795664,30224802,30224803,38807756,30250857,30250856,23548264,23548263,31029316,39706390,46968083,38443396,30241899,22848254,16624252,16624253,22848257,258176337,54654632,257886661,54654629,54654630,66911510,80338057,84001636,70468516,57769675,46416160,36553149,28084205,20911075,15005934,10336006,6803523,4266729,2550953,2550952,4228123,6747712,254996989,268063741,10284539,8599558,7270924,4585263,2758630,254260553,1859410,1860764,3178791,3178788,3706544,2219821,2219825,3706579,5927868,6346665,9652283,10722527,10280849,9078919,6101659,6101660,7673042,6852910,4300636,2571260,2531590,1458874,825912,466357,262464,262465,262472,262473,466372,825946,1458960,2531469,1458824,1458827,2531476,4233951,6756554,6756553,6808834,6782804,4251873,2541855,2541854,4251864,6782787,8124345,5204960,3175591,3175593,4295870,6846318,10388191,15063949,20974862,28153429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1074595, s2 = 9403018, dlinesl.size( ) = 20 s1 = 8461020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3950793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7699899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8413381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8413381, s2 = 10397938, int(edited[s2]) = 0 s1 = 8413381, s2 = 10397938, d1 = 12, d2 = 9 Dl.O(d1) = 52842881,269515523,60836622,60836623,73586208,87208350,101209297,115287916,129216613,142588195,142193914,128837205,114937879,100886164,86906006,86906007,73295715,60552538,49153042 Dl.O(d2) = 20098128,26987600,35071369,31815147,24299519,256557145,50546999,59732206,59732205,50547018,40511293,40511292,50547017,50546996,268692259,24299518,24299517,255421576,41314534,51535302,63251919,59732186,59732187,72468037,84357804,84357805,86572493,268909064,93249857,93249858,270280044,86572490,79134580,66854009,66854008,65779968,268375372,34124155,31815129,24299508,17916634,12693840,12693841,17916636,24299513,31815139,40511263,50546977,62038803,62038802,74835390,88468512,102471668,116570125,114054227,100026935,86063859,72465838,59730371,268505716,29888408,22534262,22534263,29817771,29815778,29815777,255474257,11320049,7516549,7516548,11320046,16279133,22021203,22450888,16283096,16279765,16278951,11319826,7516367,4751560,2863701,1662114,1662112,2863576,4751323,4751328,4751329,2863706,2764891,2764892,2863766,1662219,945761,533385,299168,165770,165771,299172,533393,945778,1662250,2863952,254534173,11320755,16279764,11322805,7519117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8413381, s2 = 10397938, dlinesl.size( ) = 2 s1 = 8413381, s2 = 10397938, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8413381, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 3731061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10161894, s2 = 4150483, int(edited[s2]) = 0 s1 = 10161894, s2 = 4150483, d1 = 11, d2 = 12 Dl.O(d1) = 255153463,23469951,257618077,260089469 Dl.O(d2) = 155233614,147233035,134016621,272380105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10161894, s2 = 4150483, dlinesl.size( ) = 14 s1 = 7047102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7047102, s2 = 6932455, int(edited[s2]) = 0 s1 = 7047102, s2 = 6932455, d1 = 10, d2 = 12 Dl.O(d1) = 261807572 Dl.O(d2) = 260264322,23470790,255989137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7047102, s2 = 6932455, dlinesl.size( ) = 14 s1 = 14165378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6919488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6919488, s2 = 11180254, int(edited[s2]) = 0 s1 = 6919488, s2 = 11180254, d1 = 36, d2 = 2 Dl.O(d1) = 260090233,129231751 Dl.O(d2) = 97748667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6919488, s2 = 11180254, dlinesl.size( ) = 42 s1 = 8595870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3733125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3733125, s2 = 6947818, int(edited[s2]) = 0 s1 = 3733125, s2 = 6947818, d1 = 27, d2 = 33 Dl.O(d1) = 129467673,142789128,155376494,164356894,261631022 Dl.O(d2) = 100466968,113503122,113503121,260502128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3733125, s2 = 6947818, dlinesl.size( ) = 2 s1 = 3733125, s2 = 6947818, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3733125, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 7047475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506489, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14104177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104177, s2 = 6958161, int(edited[s2]) = 0 s1 = 14104177, s2 = 6958161, d1 = 61, d2 = 89 Dl.O(d1) = 133497592,146753892 Dl.O(d2) = 170471303,159128306,260611904,119625734,119625733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104177, s2 = 6958161, dlinesl.size( ) = 54 s1 = 6820984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6820984, s2 = 3707862, int(edited[s2]) = 0 s1 = 6820984, s2 = 3707862, d1 = 72, d2 = 100 Dl.O(d1) = 258859414 Dl.O(d2) = 128315039,258633570,72861339 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3953897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6872066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8640320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8462335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8462335, s2 = 6592248, int(edited[s2]) = 0 s1 = 8462335, s2 = 6592248, d1 = 2, d2 = 11 Dl.O(d1) = 101631535 Dl.O(d2) = 256329978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8462335, s2 = 6592248, dlinesl.size( ) = 2 s1 = 8462335, s2 = 6592248, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8462335, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 9557610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3736369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13804745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8572194, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3956955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3956955, s2 = 1467936, int(edited[s2]) = 0 s1 = 3956955, s2 = 1467936, d1 = 3, d2 = 12 Dl.O(d1) = 142986787 Dl.O(d2) = 21864314,29174395,37735014,47656716,59057129,66914590,66914589,80340994,94395411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3956955, s2 = 1467936, dlinesl.size( ) = 2 s1 = 3956955, s2 = 1467936, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3956955, Dl.E( ) = 20, 1.29e-05 seconds used appending s1 = 9608980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658014, s2 = 14188119, int(edited[s2]) = 0 s1 = 11658014, s2 = 14188119, d1 = 7, d2 = 2 Dl.O(d1) = 40396471,40396472,41381980,32531470,32531469,32531471,28002743,20837874,14938674,267784812,6752137,254710448,20837871,28002738,36461722,46314658,255589032,53175324,257646434,87754878,74150682,61370383,49889767,39867606,254848038,61370380,74150680,87754875,101727395,115772518,129669286,258877884,130050260,116140957,116140958,102083176,88096213,74483974,61700974,50219142 Dl.O(d2) = 31511029,24010871,24010872,31511032,36716637,36716636,46604746,53836598,43312789,34214796,26341202,26341204,34214799,28769396,21508562,21508561,26149575,19451459,19451460,26124907,33963044,26341559,19612806,19612807,21562776,28833655,37373473,34214493,34214492,37302670,39022877,35409530,27284097,20348748,20348749,23138361,16878114,16878113,23138359,30555778,39153465,258198207,258495498,96404346,257876546,257979989,45958163,258603631,69059952,82587983,96571502,110668941,271761130,151008392,146864541,133607983,119734456,105496127,105496128,119734459,258648124,159237748,159237746,259274668,146864542,133607994,258648126,259274670,133607993,119734462,105496131,91273911,77353969,64206267,52355964,52355965,255806976,77353970,91273913,100789558,86808613,86808614,99966196,86006870,86006871,86006872,86006874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658014, s2 = 14188119, dlinesl.size( ) = 2 s1 = 11658014, s2 = 14188119, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11658014, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10138521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10138521, s2 = 13727213, int(edited[s2]) = 0 s1 = 10138521, s2 = 13727213, d1 = 42, d2 = 32 Dl.O(d1) = 46890837,37011755,28512797,21292199,21160931,21160933,22754490,22754487,255892548,48637837,60030785,257185629,33030635,25304156,18728856,13332794,9109833,5960718,5960720,6262159,3920492,2346821,2346824,3920453,3920451,6262095,9544356,13906845,19435347,26130359,22576872,16393927,11410139,254537487,4795755,4862707,2930214,2930212,4862699,7685076,7730206,4893463,4893464,7730207,11610403,10733219,10733220,7610367,4814705,2901536,254360409,7610369,11444155,16428973,15519226,15519227,10931185,7232009,7232010,7610243,11410738,11410737,7594054,7594053,7617736,254360783,267766945,539800,957992,1684822,254360781,4906068,254245559,1713130,973477,548091,548094,954892,1678416,2891772,4797478,4818517,7615767,7616961,11451759,267886528,16035966,11134375,7385341,7385339,11134365,16035946,16035544,11134102,11134100,15985133,11098093,11098092,15986625,15986633,15985163,15985162,12938058,12938059,11956915,8004306,5095784,5095785,8004308,11956919,17044106,23304931,30722445,37986443,37986441,44391224,47970930,38058525,29495336,22156370,22156371,26931884,20808396,20808395,22091564,21589184,21589182,15984375,11096739,11096738,11097535,7359791,7359789,11097527,7469433,4720362,2843918,1649825,1649824,2843916,2800311,2800312,4648854,7359355,7359366,7359134,4648744,2800269,2800267,4648735,7359124,11096297,15983695,11133643,7384950,7384951,11133647,16034815,22092823,15985269,15985267,22092821,29131761,29131763,25897439,25897441,24713163,18240933,15174512,15174513,21122529,28334328,36830710,36733179,28238505,28238506,36733180,38058725,38058726,31244446,31244447,39920076,49247286,39320535,37986443,37986441,44391224,47970930,38058525,29495336,22156370,22156371,26931884,20808396,20808398,27971769,26926342,22156763,22156764,267870882,46622541,57998553,267946862,44634553,37692814,29131114,29131113,21824080,255325214,30823474,23395592,23395591,21780402,21780407,15721646,10885093,7197565,7197563,10885029,15721548,10885072,10885071,7216655,7216652,7216643,7216644,10911770,10885955,10885953,15722595,16568159,11549398,7683887,7683886,9893690,9416577,6169767,3860596,3860594,6169764,9416570,13743956,15723282,10886639,7198789,4535364,4535358,7198767,10886592,15723210,21782187,29080103,25475933,25475931,30916624,23479610,17196715,17196714,22681009,28757328,21564099,15542292,254359012,21781400,21781402,29079374,21826028,15758416,10913294,7217480,4547482,2733654,1584019,1584021,2733658,4547493,7217506,10913351,15758490,21826132,29133200,35035755,29861705,22498923,16324760,16324759,14378082,14378079,20040754,14356067,9864097,6479553,4060354,2430165,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777061,10305291,14973074,20875119,28043122,21824850,21824849,29131950,35240431,27143919,22154547,22154546,29493537,35008135,26926395,21826320,21826321,20044055,20044054,26929565,35011322,35018063,26936790,20051022,20051023,26936792,30172551,38755315,30916497,29080175,21782251,21782254,23479868,29080117,21782199,21782198,29080112,37630519,38058447,37694780,29494965,29494964,26930595,26930594,30146567,38236152,37691924,37691925,254341326,44394548,36830654,28334269,26925889,20040551,14355936,9864035,9864037,14355946,20040570,26925906,26925810,255054244,31394399,23900882,17556205,12385569,12385568,17556203,22157471,22157470,21990252,21990251,29130669,29078349,21780400,15721528,15721530,21780407,15721646,10885093,10885094,15721649,15985578,15721775,15721773,21780768,26936953,26936956,28967887,31422743,29133343,21826283,15758605,15758607,17589618,17589617,23931907,31422347,37634160,29133530,29133531,37694590,29494825,25145087,255245087,13210101,18589318,23281279,22681767,22681766,29076662,37627417,47533705,55256599,44504947,44504946,41773810,41773811,38632205,30058387,30058388,36940378,28440934,28440933,21826133,21826132,29133200,35035755,29861705,22498923,16324760,16324759,14378082,14378079,20040754,14356067,9864097,6479553,4060354,2430165,2430167,4060364,6479570,9864139,14356152,20040878,23861262,21662015,21662014,21662011,15626010,11635198,11635199,15757790,21783067,15724136,15724137,21783071,26925640,22681571,16483460,11484928,11484927,16483457,22681564,30058351,35007713,26925924,26925923,31396253,31396252,26936788,20051021,14365703,14365704,20051023,26936792,30172551,38755315,30916497,29080175,29080174,37630557,35018946,28862081,28862079,254748352,32851646,40188761,31503742,29132741,21825679,21825680,29132744,37693989,30916795,30916794,26930427,26925884,20040551,14355936,9864035,9864037,14355944,20040568,26901827,34981453,31352160,23858607,17515417,17515418,23858609,31352164,40032479,35014512,35014513,35033336,29861695,29861694,31354790,31354789,37630559,47536182,47970523,41773092,35007630,35007629,44385403,49248881,47335264,255325960,28885000,37426967,38781889,30197416,22806565,22806564,30197413,31288651,23802368,23802369,31288655,39963597,33025898,33025900,41968763,40393871,31701422,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23307452,20067017,18589727,18589728,25145641,30440340,39029470,31422848,254686634,26943940,35024731,30585182,25146064,18590043,18590042,25146062,255427316,26942139,20056550,20056549,26942137,35022955,255739676,44403398,44403397,48545762,38630912,254795662,31266986,29129777,26926748,20041294,20041297,23307452,23307454,23033472,16790075,11739796,11739798,15756118,15756116,13733045,13733042,11425088,7594654,7594656,255101195,22591478,267886158,37403914,28862371,21588251,15562727,15562728,21588253,28862375,37403922,30056732,22680091,21636948,17451843,17451840,23781920,26933836,26933835,30439590,35013719,37986076,29826476,29826477,255127732,18818524,13406653,13406654,18818526,255055020,29133972,37694929,255324482,17128329,17128332,23400493,30828236,29424104,22093362,22093361,29424100,30023626,22650729,21826975,21826976,29134071,37695015,254971354,44413177,35038786,35038785,44394944,55243270,67584967,81052575,256355434,123555489,258710380,162464437,259336200,173504049,272600091 Dl.O(d2) = 177678768,262330827,142999419,262231652,127630052,140979577,153646831,165427745,176109800,185574114,193833472,195043864,186959031,177678768,262330827,142999419,129671590,115774883,101729880,101729881,101729885,260109443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10138521, s2 = 13727213, dlinesl.size( ) = 32 s1 = 8364117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9485794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3958095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3738627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658682, s2 = 4578593, int(edited[s2]) = 0 s1 = 11658682, s2 = 4578593, d1 = 53, d2 = 40 Dl.O(d1) = 257631012,87157717,258240152,97708941,83849599,70323868,57633136,256805747,27976677,27976676,256606955,24942860,18429099,18429100,24942862,20238754,14522594,9992689,6567422,6567423,9992691,14522596,20238743,27148946,32606627,24942909,24942910,32606629,24943012,18429247,13090483,13090482,14917121,20813074,27976678,36435504,36435519,268370293,20813085,22152962,16032916,14917122,10257485,10257486,14917124,20813076,18429209,18429210,254901731,8920577,13090495,18429096,13090333,13090332,13090450,13090449,18429222,18429245,13090480,8920559,5821469,5821470,8920560,255236247,8920472,8920473,13090378,18429141,18429182,13090408,8920491,5821427,3631624,2169124,1255509,1255508,2169121,3631616,5821410,8920453,13090342,13090435,13090434,18429207,18429196,13090419,8920498,7391955,4670037,2813628,2813629,4670040,7391958,11144478,13090392,14037892,13090520,8920603,8920604,13090502,13090451,13090447,254635475,3631638,254200249,714128,403455,403456,714130,254200251,3631644,5821453,8920517,5821444,5821443,8920515,8920596,13090513,18429235,13090471,8920548,254901729,8920500,5821434,3631628,3631629,5821436,6346366,9651888,14037924,14037957,9651911,9651912,8920601,5821500,254635479,3631663,3631662,5821482,254293133,1255520,714132,403457,403458,714135,1255525,2169149,2386209,3981719,6346328,9651843,8920594,8920595,6346314,6346315,5821495,5821494,254675811,14037885,14037896,9651866,9651865,14037894,18429260,13090498,8920579,5821485,5821486,6346273,6346272,9651768,14037765,14037789,19592213,14037855,9651837,9651836,13090472,8920549,8920550,13090474,18429237,19592295,19592294,26317566,32819838,34189342,34189576,34189575,39524025,33087831,25355260,25355261,26317577,19592452,14037990,9651930,9651928,14037987,19592268,26317591,34189378,39524032,43286433,43286434,52055466,52055467,55714955,44808536,35384049,27258761,27258760,268716625,32385046,25115842,18565135,13192663,13192664,18565138,23476842,17194469,12090649,12090651,8130814,5209244,3178139,3178138,5209238,8130805,12090674,17194497,18565163,15364579,15364578,18053108,12979896,8835631,8835629,12979892,15389945,21338472,18053116,18053115,24473684,24764566,32385061,255841454,22589373,16406870,11423278,7593190,4803128,4803127,6070981,3798438,2275124,1319326,752599,427471,427472,752604,1319342,254655081,258417613,260287255,133983584,259501968,129669282,129669283,270901750,177676702,260722610 Dl.O(d2) = 255568664,39883139,42266816,52652673,257073128,74499339,88111100,102098100,116155382,130063613,261295254,167545887,167545888,178014109,263244468,195309187,195309186,202192160,207979313,212751132,216652939,219887377,219887378,222616610,274335448,224019940,264947848,218679371,221553667,264947850,215268976,211133484,206076715,199959281,192719464,184300416,184300415,183944463,174281325,163432907,272511749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658682, s2 = 4578593, dlinesl.size( ) = 58 s1 = 8462933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7031556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7031556, s2 = 14643360, int(edited[s2]) = 0 s1 = 7031556, s2 = 14643360, d1 = 6, d2 = 6 Dl.O(d1) = 261627946,129689311,115791875 Dl.O(d2) = 261627946,129689311,115791875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7031556, s2 = 14643360, dlinesl.size( ) = 2 s1 = 7031556, s2 = 14643360, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7031556, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 14643359, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13428037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3739052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3739052, s2 = 9664274, int(edited[s2]) = 0 s1 = 3739052, s2 = 9664274, d1 = 2, d2 = 21 Dl.O(d1) = 129693455 Dl.O(d2) = 261824157,167201116,175035388,184629525,193008634,263847546,186975651,263847548,263086688,262159082,143022692,129693458,115795533,101749675,258660706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3739052, s2 = 9664274, dlinesl.size( ) = 10 s1 = 8658190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8658190, s2 = 7630875, int(edited[s2]) = 0 s1 = 8658190, s2 = 7630875, d1 = 19, d2 = 8 Dl.O(d1) = 129701049,115801766,115801765,129701047,143032251,155582659,167214768,177712932,186992886,186992874,186992873,177712922,177712923,186992878,195076361,195076364,186992884,177712930,177712929,177712937,177712938,186992889,195076366,201991577,201991574 Dl.O(d2) = 258972922,270110458,257286052,256199392,24763963,32384431,41204768,42750150,33720975,33720974,34601366,34601367,26614245,19805746,14186695,254681011,4022679,4022674,6412357,9752444 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6921280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6921280, s2 = 3625605, int(edited[s2]) = 0 s1 = 6921280, s2 = 3625605, d1 = 40, d2 = 80 Dl.O(d1) = 260112787 Dl.O(d2) = 140861025,140861024,138895543,125562880,258628366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6921280, s2 = 3625605, dlinesl.size( ) = 56 s1 = 7614243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13641855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6921360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6921360, s2 = 7136024, int(edited[s2]) = 0 s1 = 6921360, s2 = 7136024, d1 = 29, d2 = 48 Dl.O(d1) = 260113657 Dl.O(d2) = 263076717,163913986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6921360, s2 = 7136024, dlinesl.size( ) = 26 s1 = 3740449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3740449, s2 = 14339641, int(edited[s2]) = 0 s1 = 3740449, s2 = 14339641, d1 = 67, d2 = 147 Dl.O(d1) = 129721644 Dl.O(d2) = 31250243,39925874,49943621,61421650,74200246,87803818,87803804,74200228,74200229,87803805,101776255,87803807,74200231,258874405,87803810,74200233,61421638,49943612,39925868,39925867 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3959800, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3740517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10205426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10205426, s2 = 7164511, int(edited[s2]) = 0 s1 = 10205426, s2 = 7164511, d1 = 72, d2 = 34 Dl.O(d1) = 9713521,9713524,14118441,18147478,13419833,9175491,9175490,9176307,6005914,3756034,2249523,1305024,1305025,2249525,3756037,6005915,9176309,255260213,19173003,13691483,9376627,9376624,13691420,13691418,13691528,19173088,256155201,42654483,52482305,42127504,33171226,25428719,18836670,18836671,19463413,255820758,12436534,8405280,8405278,12397359,8378227,5406933,5406931,8378219,12397347,12397963,8378596,5407117,3324082,1955084,1116862,626731,348231,348233,626742,1116887,1955129,3324171,5407260,8378865,12398376,12395686,12395685,17392650,17395541,12258863,8279044,8279045,12258866,13068356,12378249,12378248,255150626,25286806,268914864,268612454,21348533,15372879,15372875,21348526,28577624,37081816,32171177,32171178,37121392,269311935,256534302,48749252,38829337,30245971,30245964,22851789,16626857,11597734,7720264,4886436,2944429,1707501,1707500,2942849,268415640,22839779,30232309,256711215,256062333,18061384,13562743,9285932,9285933,13562745,19003853,24309527,24309528,18221250,12924084,8791871,8791872,12924087,18221260,20171850,27066109,29562566,29562565,38128097,271800731,165399929,155606598,143057176,129726532,115827366,115827365 Dl.O(d2) = 263462728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10205426, s2 = 7164511, dlinesl.size( ) = 62 s1 = 2942664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8472669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8411395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8567918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8567918, s2 = 8523608, int(edited[s2]) = 0 s1 = 8567918, s2 = 8523608, d1 = 31, d2 = 15 Dl.O(d1) = 141805280,261770915 Dl.O(d2) = 260309840,272401196,126676655,112819513,260536033,133855863,133855864,147099013,159472650,153645086,140977846,127628359,272556243,77604685,259035009,260278615,113050623,99063360,85139333,71569468,58842641,58842640,63335847,71828406,59088120,47689331,37767998,29206459,21893062,21893035,15815309,10960008,268079347,17562835,17562833,17562831,23906639,31399240,40080137,43005760,33949454,33949453,43005758,39828493,39828492,49851937,58426051,53506374,53506375,48713381,48713382,43001608,33945862,33945863,43001609,53478402,65500663,61353416,49871662,39849388,39849387,33487371,33487370,39849385,49871660,57983610,51922359,44872032,35433272,27300769,20361733,20361734,27300771,35433276,44872039,55801351,68228761,58006857,47534670,37628550,29077817,29077818,37628553,47448778,256387004,268222130,15668688,21711094,17409651,17409652,23734343,31218413,39895348,38777685,268414485,16586224,11566386,7698551,4872407,2936092,2936091,4872405,7698547,11566382,16586218,255938905,256982553,60096059,72833295,61695136,61695138,50213448,40191331,31506012,24006895,24006896,31506018,34629201,34629200,26639409,26639408,34629243,43901658,54644826,54644862,50213382,40191290,31505993,31505992,38187577,38187579,48099169,52002920,41691236,41691238,50531725,50531726,43357278,43357277,53881750,48099203,48099201,59487805,49188395,269369779,30666918,23251465,16988504,16988505,23251467,30666926,39262471,39262470,49188382,48485907,38572714,30002114,22632511,22632512,30002116,38572718,48485913,59877410,49188453,49188452,42463180,33469782,33469469,25696463,25696461,33469462,31593871,31593870,32303633,41115360,42463462,48143296,48143295,49453891,39521456,39521457,49453895,42463353,33469948,25696805,19071295,13615126,13615127,19071296,256146447,42463356,52867154,53130370,53130369,47839685,46604594,46604593,57981585,50258766,40239543,254647152,24049588,28237410,21039201,21039200,28237404,26149518,26149516,30738405,23318315,23318314,23318484,21508257,21508256,28768917,29525821,29525820,34214752,34214751,39337245,40363270,31668775,24159293,24159294,31668777,40363274,50258583,50258584,47209126,47209125,38061435,38061436,255305138,43313045,37302646,37302645,40239303,39153459,30555775,30555776,38087923,38087922,37302529,28769162,21508402,15499651,10719075,10719076,15499653,21508406,28769167,30555683,39153341,49083458,50038372,58835928,58835927,58835943,58835945,58835973,256890723,28996436,21711778,21711770,21711769,28996421,37541737,47449701,257389768,58712979,47324077,47324078,47489908,47489907,49963078,49963077,58870945,58870944,58871117,71563149,71563148,58871007,47489835,37584862,35408226,35408227,40403687,50437714,256274630,44824586,44824587,55732038,49869693,39847561,31165806,31165808,34168067,29722610,29722611,36857287,36857286,46738979,37171160,28653662,21410682,21410683,28653665,37171165,47063060,58438609,55731818,44824310,37584967,29037393,29037392,37584963,47489964,42846582,33805875,25989799,19318877,19318878,25989806,25894928,25894927,33700961,42730755,51660659,255319612,24908660,18404111,13072366,8907919,5813051,5813050,8907917,13072360,18404095,24908627,31387893,23891465,17544922,12375506,8362713,5397698,5397695,8362706,8488702,12527063,17709209,15280733,15280737,21246848,17398941,12261483,8280621,5342572,3283671,3283673,5342580,8280639,12261517,17398989,16082741,11826191,7903429,5023930,3040933,1770843,1770846,1770521,1770520,1009159,568728,318530,318529,568725,1009144,1770686,3040668,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171771,17292929,17895204,17895203,24275324,255150846,10590128,10590129,15333381,21301898,17566576,17566577,17550993,12380775,8366106,5399587,5399585,5399430,5399429,8365832,5589791,5589790,8601928,12666491,255512594,15773040,21842792,29151001,24203825,17834129,17834128,268449057,27272505,20336655,14595209,14595208,20336650,256378192,255499239,30234418,35400084,35400086,38641053,30066270,22687779,16487773,16487772,14595761,10043212,6599991,6599990,10043210,12685998,8616970,255595973,31802986,29713584,22357975,22357974,29713581,28421393,28421394,36919427,46797250,58164601,70878552,64264312,52408989,42065242,33116386,25381158,18796453,13389650,13389649,18796450,25381154,33116382,42065229,52408962,64264279,70878609,58164651,58164648,70878606,59575907,59575908,59576029,48189626,38280226,29713621,29713620,38280222,48189622,58164626,47304905,37395421,268632000,10761487,10761486,15558302,21582186,28854757,37395408,47304875,58695313,71428080,85001099,98925944,90850277,256104446,75637347,65951898,65951900,255643018,75637345,75637343,76971557,63859802,60500117,49096529,49096530,60500119,73247034,63856423,63856422,76968443,90847585,105027558,93447078,79315972,79315971,88086526,74474309,74474306,65234065,53245006,42793253,33762063,25953790,19289623,13790798,9456167,9456166,254840561,8246863,12216693,17343196,23660055,31146838,29010126,21723459,15678543,10854325,7176212,4520529,267885499,10854322,15678537,21723446,21723452,255412390,7277717,4589724,267788977,910132,513435,513439,910144,531750,298194,165141,90879,50053,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086695,1903679,1881536,1073403,1073400,1076320,1080696,1080697,1893575,1912302,1893964,1080954,1080953,1655323,1655322,942184,531420,531417,942175,1078246,1077548,605819,337118,337117,605811,606901,1080546,1078710,915430,516564,516561,612683,612684,1079334,606236,337370,337371,606241,1079343,1891408,1871819,1871818,1888823,1077816,1077814,1088714,1088717,1906870,1608425,1608426,2773096,3229581,1915071,1093691,613984,613985,1093694,1080004,254104737,337556 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8265085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8265085, s2 = 7724837, int(edited[s2]) = 0 s1 = 8265085, s2 = 7724837, d1 = 12, d2 = 11 Dl.O(d1) = 10642990,15398921,21381417,27959309,20797684,254316170,36417253,37129443,47016901,58388099,58388098,49907723,39887178,31208327,31208326,39887176,49907721,49097483,49097482,59632221,49907736,39887192,39887191,49907735,49907733,48059013,38146037,38146036,48059011,58388097,58388096,71104831,84668140,76123428,63118009,63118010,63578960,63578961,62989499,62989498,73598784,60849100,51793407,41516081,32630915,24962015,24962016,32630917,41516084,51793413,48245080,48245081,59632217,72366677,257933808,90527117,76664861,63578973,63578975,76664872,84663609,258680002,90527130,76664887,63578991,51793425,51793426,258364211,84769198,74247403,61468928,49991448,39975338,31300677,31300676,258878527,271392223 Dl.O(d2) = 273776397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8265085, s2 = 7724837, dlinesl.size( ) = 14 s1 = 8463637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659160, s2 = 11823872, int(edited[s2]) = 0 s1 = 11659160, s2 = 11823872, d1 = 7, d2 = 31 Dl.O(d1) = 115878232 Dl.O(d2) = 37132406,47020006,58391351,49103422,43919076,43919075,38823887,37745660,29558603,29558602,38124113,255499108,48744035,38823890,30240604,30240605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659160, s2 = 11823872, dlinesl.size( ) = 2 s1 = 11659160, s2 = 11823872, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659160, Dl.E( ) = 38, 3.41e-05 seconds used appending s1 = 6921831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6921831, s2 = 7241600, int(edited[s2]) = 0 s1 = 6921831, s2 = 7241600, d1 = 118, d2 = 121 Dl.O(d1) = 260118245 Dl.O(d2) = 264451188 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3962264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3962264, s2 = 15318456, int(edited[s2]) = 0 s1 = 3962264, s2 = 15318456, d1 = 45, d2 = 89 Dl.O(d1) = 143131047 Dl.O(d2) = 256015345,23834858,17495809,254849701,5378785,254270201,1945787,3307478,4260603,6795149,6850208,6850209,6850299,4298744,2570103,1479677,836355,471286,264776,264775,471283,829741,468162,468161,829738,1460037,826477,826479,1460042,1460144,826564,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479441,836257,471243,471244,836265,1479467,2569632,4298034,6760867,6760868,6790113,10320751,6849474,6849475,6849615,10366207,6828963,4284318,2561481,2561480,3711585,3711586,5935928,5950227,9080855,6149618,6149616,7044070,7044071,10305953,6777603,4248289,2539865,2539863,4248283,6777591,4261256,2547575,2547577,4261263,6795982,6842626,6842627,6843264,4293987,4293988,6843268,6821513,4852283,4852280,6747262,6747259,6821646,6747824,6747822,4248623,2540013,2540012,4248619,6778096,10306467,12096747,13305271,10304514,6776416,6776418,6778129,6778130,9095163,9095162,10274211,6778069,4248602,2540003,1463472,828208,467406,262962,262963,467409,828218,1463489,1179163,662090,367085,200861,200863,254108237,1179186,2055465,3466332,4248266,6777563,6821314,4279099,3177494,1860030,1860031,1860757,3178779,3178778,5206129,3176239,3176240,5206144,6789667,6789669,5956708,5956707,6346691,6346687,9652303,14038391,19592833,26318190,20940799,15032330,15032331,18663770,271525775,18763034,268023059,5975496,9131134,13360851,17520481,17520482,17520494,17520495,23864754,31358708,33073663,42017711,48250077,50057416,61536141,74313118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6864717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6864717, s2 = 6953124, int(edited[s2]) = 0 s1 = 6864717, s2 = 6953124, d1 = 5, d2 = 8 Dl.O(d1) = 259406530 Dl.O(d2) = 260556171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6864717, s2 = 6953124, dlinesl.size( ) = 24 s1 = 9732821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10207376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4161562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6874864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3964433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3746558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9486272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9486272, s2 = 2862667, int(edited[s2]) = 0 s1 = 9486272, s2 = 2862667, d1 = 16, d2 = 29 Dl.O(d1) = 13533881,254928182,6067630,9263804,6955521,6955522,6936059,4369885,4369881,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,6064014,6064016,9258719,13527979,267970494,16178304,11245055,7464254,4716914,4716915,7464256,8108088,5194730,5194731,8108090,9237115,8384031,8384029,8384030,12405282,256021615,40088896,270908078 Dl.O(d2) = 193757149,263280666,193757151,193757191,263661398,206826869,206826870,211770046,206826818,206826821,200845061,193757170,185491308,176019279,165326093,153533892,153533891,165326091,176019275,185491304,193757164,200845055,206826857,206826851,206826852,211770074,264589290,264837338,206826881,200845094,193757192,193757193,200845095,206826831,206826891,200845110,193757212,193757213,200845098,200845117,200845112,200845111,206826893,264005418,193757198,200845099,200845028,193757145,193757144,193757134,185491284,185491283,185491316,176019291,165326101,153533897,140856928,127500382,127500383,140856930,261351352,153533901,165326106,176019260,261351350,153533886,165326080,176019259,185491281,176019290,165326100,153533897,140856928,127500382,113627935,99613777,85664579,72077642,59343707,47952457,38039034,38039017,33425673,33425674,38039028,47952446,59343675,72077609,259364451,76370552,63338079,51613880,41387816,32537277,24891972,18391630,18391629,24891970,32537274,28232320,23771464,17442909,12295691,12295693,17442915,17442967,23771563,29126288,37688389,29564274,22218605,17442780,12295620,12295619,17442779,17058228,17058229,23323646,22217863,16086343,11172523,7412540,4683837,4683838,7412546,8711021,5670633,5670635,8711031,12811972,15223917,17251236,12131817,12131818,14405437,11172774,11172601,7412578,7412574,11172587,11172669,8296615,5352237,5352238,8296617,12285224,17430068,23757073,31241088,31257456,39932359,48042490,39752303,31074687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9486272, s2 = 2862667, dlinesl.size( ) = 2 s1 = 9486272, s2 = 2862667, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9486272, Dl.E( ) = 30, 1.31e-05 seconds used appending s1 = 9025926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9025926, s2 = 7627970, int(edited[s2]) = 0 s1 = 9025926, s2 = 7627970, d1 = 16, d2 = 40 Dl.O(d1) = 257074906,258266608,129890357 Dl.O(d2) = 143219640,155771089,167403120,177897246,187167333,262817782,269940852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9025926, s2 = 7627970, dlinesl.size( ) = 14 s1 = 10217152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13261211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3748672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3748739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3748739, s2 = 3330061, int(edited[s2]) = 0 s1 = 3748739, s2 = 3330061, d1 = 19, d2 = 15 Dl.O(d1) = 129973945 Dl.O(d2) = 107423048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3748739, s2 = 3330061, dlinesl.size( ) = 2 s1 = 3748739, s2 = 3330061, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3748739, Dl.E( ) = 34, 9.06e-06 seconds used appending s1 = 14164886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164886, s2 = 14885539, int(edited[s2]) = 0 s1 = 14164886, s2 = 14885539, d1 = 23, d2 = 20 Dl.O(d1) = 121375240,260876452,261978672 Dl.O(d2) = 53268811,65258530,78548710,88039228,74429008,74429007,61647242,50163265,40139872,31457716,31457715,40139871,50163263,61647240,74429006,88039226,102022361,116077860,116077862,116077863,129985304,129985301,129985302,143318026,139084710,125743660,111923659,97984232,84109335,84109334,97984230,85487288,71902241,59966945,268955463,22700154,30081894,256972923,40088270,31408272,23917976,256021551,33689411,25882877,25882876,33689408,42719551,51601907,269110922,46636475,40856555,32085012,28248249,28248250,256831771,32087352,24513782,24513783,28993916,21709547,21709546,28993915,37539157,42621961,258436909,258021539,58011143,70726907,84279297,98175499,112138168,112138169,112138165,112138164,125975230,139327357,139327358,146329580,146327825,133100522,119270753,119270752,105080010,90900158,90900157,105080008,119270749,105077710,90897717,77017823,63906221,52086937,41772756,32851427,32851428,36635198,37740066,36635197,28160522,20980927,15068849,10392166,6849374,4297954,2569577,2569576,4297952,6806348,4268747,4268746,6806347,10339186,15009238,20914617,28088157,20914614,15009237,15009238,20914617,28088160,36557488,36557480,28088153,28088155,36557483,46420826,57774938,70474624,84008188,70474615,70474617,84008191,97876877,260477595,259875911,97876852,97876853,97876880,84008193,70474618,57774936,46420823,46420824,57774937,70474621,70474637,70474581,57774915,57774914,70474579,70474627,57774939,57774940,57774958,46420846,46420844,258006297,70474596,57774920,46420807,36557473,28088149,20914607,15009232,10339183,10339184,15009234,20914611,28088154,36557481,46420821,57774933,57774937,258006283,46420798,36557465,36557466,257395575,270274935,84008185,70474612,70474611,84008147,70474578,270274935,84008185,70474612,257395581,36557481,46420821,259256977,70474613,57774934,46420822,46420821,259256977 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3967502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164602, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3509216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3509216, s2 = 3459363, int(edited[s2]) = 0 s1 = 3509216, s2 = 3459363, d1 = 115, d2 = 28 Dl.O(d1) = 116116704,130026144 Dl.O(d2) = 114366130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3509216, s2 = 3459363, dlinesl.size( ) = 30 s1 = 10191737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7050609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180320, s2 = 14992484, int(edited[s2]) = 0 s1 = 10180320, s2 = 14992484, d1 = 9, d2 = 9 Dl.O(d1) = 76689507,90555729,104727319,118917104,120115709,105903821,91696433,77768948,64586018,52685436,42298725,33318073,25556003,18942860,254926275,9241029,268144815,25458268,268746269,52524245,64398075,64398074,64398073,257639614,42165806,52524242,64398072,77566379,91497521,84457373,70900829,70900828,84457371,84093879,70557491,57856008,46499985,46499986,57856011,256056684,97967508,257697936,129476208,115591224,115591223,129476206,139061064,142797619,142797620,155384922,167030010,177538797,186826528,177538792,167030005,155384917,142797617,272252738,115591225,101554872,87592319,73991959,61213142,49734774,39716195,31038773,23556697,23556696,31038772,39716193,36631880,28157545,20978237,15066691,10390450,6848106,4297057,4297058,6848108,6817388,4276363,4276364,4852695,4852694,7669556,11529113,255492087,14932702,10269536,6748597,4306584,254489103,10410003,15093648,15033308,15033309,256282427,28119125,36592079,46458256,46458257,57814340,70515659,84050887,97921575,111855834,125671747,116160160,116160161,130067988,143397888,143397886,143397885,155938040,167550000,178018125,167549999,167549998,178018123,187263531,195312921,195312919,187263528,187263529,263983303,207982713,212754179,207982711,207982710,212754178,216655601,219889720,220222466,217065764,213265505,213265504,213265506,208620959,202969366,202969365,196226144,196226143,188344170,179294687,179294683,169009742,157548453,145114821,145114822,157548456,169009748,169009741,169009740,168581983,157138803,157138804,157138805,260169970,144741756,157138801,144741755,261364611,117715620,103584706,103584707,89489281,75725741,62776937,51140848,40994171,32210432,24619074,268127183,8763173,8763172,12884659,18168382,24619071,32210428,40994162,258330989,89489271,103584699,103584705,117715619,131517972,131517970,131517971,144741753,157138800,153448617,140768504,140768503,140768506,127412732,113542294,99530882,85583934,270315991,59260653,47864692,37946208,256378215,22050994,15947740,11067056,11067057,11072243,15946716,11066098,7345394,7345393,11063198,11069002,11070909,7340856,7340857,11070916,11080620,15964775,18092847,255321824,29304090,26329577,22037652,22037648,15948622,11067661,11067664,15948627,22052003,18923232,13490394,13490392,18923237,25534464,29302867,21975524,21975523,29302865,29625003,29623034,22271710,16130008,11204970,11204969,16130002,13966491,9589870,6295307,3943220,2360536,2360533,3943211,6295282,4105545,2455719,2455718,4105543,6553530,6553513,6553512,7434809,7434810,11204899 Dl.O(d2) = 76689507,90555729,104727319,118917104,120115709,105903821,91696433,77768948,64586018,52685436,42298725,33318073,25556003,18942860,254926275,9241029,268144815,25458268,268746269,52524245,64398075,64398074,64398073,257639614,42165806,52524242,64398072,77566379,91497521,84457373,70900829,70900828,84457371,84093879,70557491,57856008,46499985,46499986,57856011,256056684,97967508,257697936,129476208,115591224,115591223,129476206,139061064,142797619,142797620,155384922,167030010,177538797,186826528,177538792,167030005,155384917,142797617,272252738,115591225,101554872,87592319,73991959,61213142,49734774,39716195,31038773,23556697,23556696,31038772,39716193,36631880,28157545,20978237,15066691,10390450,6848106,4297057,4297058,6848108,6817388,4276363,4276364,4852695,4852694,7669556,11529113,255492087,14932702,10269536,6748597,4306584,254489103,10410003,15093648,15033308,15033309,256282427,28119125,36592079,46458256,46458257,57814340,70515659,84050887,97921575,111855834,125671747,116160160,116160161,130067988,143397888,143397886,143397885,155938040,167550000,178018125,167549999,167549998,178018123,187263531,195312921,195312919,187263528,187263529,263983303,207982713,212754179,207982711,207982710,212754178,216655601,219889720,220222466,217065764,213265505,213265504,213265506,208620959,202969366,202969365,196226144,196226143,188344170,179294687,179294683,169009742,157548453,145114821,145114822,157548456,169009748,169009741,169009740,168581983,157138803,157138804,157138805,260169970,144741756,157138801,144741755,261364611,117715620,103584706,103584707,89489281,75725741,62776937,51140848,40994171,32210432,24619074,268127183,8763173,8763172,12884659,18168382,24619071,32210428,40994162,258330989,89489271,103584699,103584705,117715619,131517972,131517970,131517971,144741753,157138800,153448617,140768504,140768503,140768506,127412732,113542294,99530882,85583934,270315991,59260653,47864692,37946208,256378215,22050994,15947740,11067056,11067057,11072243,15946716,11066098,7345394,7345393,11063198,11069002,11070909,7340856,7340857,11070916,11080620,15964775,18092847,255321824,29304090,26329577,22037652,22037648,15948622,11067661,11067664,15948627,22052003,18923232,13490394,13490392,18923237,25534464,29302867,21975524,21975523,29302865,29625003,29623034,22271710,16130008,11204970,11204969,16130002,13966491,9589870,6295307,3943220,2360536,2360533,3943211,6295282,4105545,2455719,2455718,4105543,6553530,6553513,6553512,7434809,7434810,11204899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180320, s2 = 14992484, dlinesl.size( ) = 2 s1 = 10180320, s2 = 14992484, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10180320, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 10235969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7673799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7673799, s2 = 8276522, int(edited[s2]) = 0 s1 = 7673799, s2 = 8276522, d1 = 22, d2 = 44 Dl.O(d1) = 272057908 Dl.O(d2) = 202202433,260356264,184775334,260356262,272051894,270807565,258051590,269133683,13962779,13962781,255708453,34081862,34081894,34660448,43165231,41158649,34628265,29006537,26221348,19507203,19507204,21720683,29006667,26344974,19616100,14056920,14056921,268321909,19852153,26221400,21720604,15676291,15676290,19507248,19507247,19507334,26221514,34081763,26221281,26221282,19507330,13962848,13962849,19270337,19270336,25932603,26221401,26221360,19507222,19507223,26221361,33615590,25815778,256671701,53092322,43165023,34081859,29006655,255422612,10852636,10852637,15676355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7673799, s2 = 8276522, dlinesl.size( ) = 12 s1 = 3752228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3970831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3248096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3248096, s2 = 8398938, int(edited[s2]) = 0 s1 = 3248096, s2 = 8398938, d1 = 59, d2 = 48 Dl.O(d1) = 74553039,88168154,102159243,116220739,130131493,260577484,167610382 Dl.O(d2) = 115793357,129690777,115793359,261087970,269869885,257059233 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3753037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8551566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3753632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7045066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7140535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7882087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7711850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7711850, s2 = 6566581, int(edited[s2]) = 0 s1 = 7711850, s2 = 6566581, d1 = 29, d2 = 21 Dl.O(d1) = 273391203 Dl.O(d2) = 256037267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7711850, s2 = 6566581, dlinesl.size( ) = 30 s1 = 8589019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3756064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3756064, s2 = 16115118, int(edited[s2]) = 0 s1 = 3756064, s2 = 16115118, d1 = 34, d2 = 7 Dl.O(d1) = 130244564 Dl.O(d2) = 19851980,14222514,255316841,26667896,256726435,54676476,66933193,80359050,94412892,108699704,122964629,136794661,149930070,149930071,162141312,173240196,183090307,191698387,199100502,205361363,210543522,209337706,203865548,197309841,189623820,180728286,170599192,159264182,146893477,146893479,146893481,133640477,119771160,105538182,91320590,77402217,64252342,52396903,42052805,33103664,25368908,18785002,13379491,9145025,5984456,3742051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3756064, s2 = 16115118, dlinesl.size( ) = 20 s1 = 9058015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3756595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9212809, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3757533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3757533, s2 = 10152583, int(edited[s2]) = 0 s1 = 3757533, s2 = 10152583, d1 = 139, d2 = 165 Dl.O(d1) = 102352766,116445772,130282606 Dl.O(d2) = 72006725,59270833,258111465,85593667,257501578,49978363,39961712,31286591,23800178,20283608,14553830,14553826,17759477,17759479,24120767,31234234,23750975,254501100,254225708,254225710,4419624,254732081,15398437,15398438,21380810,21434234,28617156,37128623,257439563,71103619,84666847,98590353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3757533, s2 = 10152583, dlinesl.size( ) = 26 s1 = 3758260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3758459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3976115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3976115, s2 = 15050895, int(edited[s2]) = 0 s1 = 3976115, s2 = 15050895, d1 = 15, d2 = 19 Dl.O(d1) = 147014166,156201506,159396040,170744337,167796776,156201507,143672124,130347826,116511359,102415721,88415165,74783503,74783502,61987175,50495205,40459279,31764832,24253019,17875448,12658863,8594634,8594636,12658864,268001469,5470172,5470173,8464339,12496099,17671061,20849054,14948693,10282864,10282863,268196597,16122536,14516674,9988906,6565146,4112856,267872363,9988902,14516671,20229951,27136579,24253016,17875446,17875447,24253017,31764829,40459275,50495202,50495203,61987173,74783501,74783500,259540757,116511355,116511356,130347823,143672122,156201505,167796775,178241410,167796773,167796772,258951302,146375682,258325714,133146213,256577870,90936879,77054367,63940647,52120283,41805130,32882614,25173773,18614590,18614592,18660219,21653610,15619039,13163819,13163817,18527636,24336041,17946257,17946256,24336038,31858064,32882613,41805129,52120282,63940644,77054364,90936877,105119131,105119130,119313983,133146210,146375680,158745936,170106344,180275984,189221202,196963621,203578207,209107497,213645453,217367266,220467289,220467290,223101236,223101237,225374923,227350093,264592850,230600872,231957686,233179428,234284243,235289593,236205542,237040565,237803801,238497753,239133567,238497750,238497751,239133568,239718004 Dl.O(d2) = 241619716,241619715,241188086,241188085,240721873,240218813,239675571,239088853,239088854,238450427,237751335,274308948,236138501,236981935,236138502,235212772,234196157,233077766,231840732,230465644,228918854,227164827,225155826,222844432,220159545,220159544,216984896,213157725,260263428,202797567,258392698,179072033,168793667,157355656,144942839,131694678,131694677,144942838,268488120,131694676,117867120,103712793,254646386,75814566,75814565,62851061,51201665,41045528,32252394,24653213,18195331,12905655,8779091,5717743,3559471,3559470,5717739,8779081,12905636,18195309,24653190,32252381,41045505,41045506,51201649,51201650,62851045,75814555,259587679,117867107,129637975,115741474,115741473,129637974,129637972,115741472,101696594,87723161,74117752,61335573,255945686,31147319,23660605,23660606,29275482,29275481,37842190,37842595,46720522,36837581,28340644,21128524,21128523,21952072,29275794,37842160,46905746,37028582,36833873,36833874,46716507,37842557,29275820,29275822,37842564,46905764,37842229,29275522,21951825,21951826,29275525,29275566,29275888,21952146,18044091,12791099,12791098,10993558,9934596,7277487,7277488,7277446,4589502,4589501,7277442,10993453,15861132,21951752,21952038,21117140,15861167,10993475,10993476,15861168,21951805,21952008,28327205,28327202,21117163,21117120,15170751,15170750,21117119,28327147,21952095,15861358,254756775,4589548,7277519,10993585,15861365,21952107,21117157,15170768,15170767,21117153,28327191,21951775,15861146,10993462,10993463,15861150,15861249,10993522,7277478,7277479,10993489,7277458,7277457,10993486,15861195,15861322,10993561,7277509,7277510,10993481,10993479,15861176,21951815,21952012,21117170,15170776,10463061,6896976,4329428,4329427,6896971,10463052,15170763,21117146,28327183,21952091,21952090,21951987,21951989,29275709,37842253,36822770,28327171,28327170,36822763,28327166,25077420,18777437,13372839,9139833,9139834,13372842,18777441,21951779,21951778,29275463,21951930,15861257,15861258,21951830,15861190,15861188,21951836,29275538,37842257,47764938,257492655,47765040,59163943,71902083,85487025,85487026,99428555,99428709,85487174,85487175,99428711,258726409,258726407,259277553,70795066,70795065,84353671,98261064,99428513,85486980,85486979,84353505,70794899,70794898,84353502,98260921,260699137,115648254,101607929,87641152,87641153,101607931,115648256,102120531,88132649,74520483,74520484,88132653,102120535,113430746,113430747,127289576,114740626,101607943,87641165,87641166,86714410,73108832,73108831,86714406,100690652,114740609,119185291,259324020,76936523,257462784,41701625,32785196,32785199,41701629,52013139,63828931,76936534,74520529,61738734,61738735,74421770,88032189,258719208,88132777,102120552,116178180,259696036,102120562,102120563,102120553,88132664,88132666,88132640,74520477,71015035,71015034,76936571,63828964,63828965,259002533,88132688,85043088,85043087,258073510,52013148,41701633,32785201,25087365,25087366,32785204,41701641,52013164,58299837,59577437,59577436,72312105,85905759,98504818,112500261,98934596,85008836,85008835,72961844,72961845,86561061,88132685,88132677,74520502,61738713,61738712,74421768,71015039,58299820,46933746,46933747,58299822,71015042,84579579,71435676,71435677,85008818,84579588,84579589,76936566,63828956,52013154,52013155,63828958,59164075,47765180,47765179,268759514,85487256,84579591,84579590,84329201,70770344,58629290,47236373,37327364,37327365,47236381,58629297,71366061,84942699,98504823,112214716,98236382,84329181,70770320,258134796,72462863,59727283,59727282,72462860,84942677,259936549,84329230,70770363,58052078,58052079,70770366,58703794,58703792,71435666,84579598,71015065,71015064,84329243,84329244,76936541,76936542,90812611,104990354,100024113,98236409,84329215,70770354,58052072,46677350,36791358,28294612,28294611,36791356,46677347,58052064,70770343,84329199,98236395,98869448,99025639,99025640,98869504,84942765,71366206,58629440,58629439,59727290,48342945,48342944,256945330,70770357,84329222,98236417,98236384,84329184,70770323,58052055,58052056,70770327,58703775,58703776,71366249,71366185,71366186,71435625,258695021,71366224,71366223,84942865,86061024,98236450,84329269,70770405,58052110,46677368,36791366,28294617,256296427,46677358,58052087,70770377,84329242,72462926,72462927,85008786,85008787,86060993,84942856,72462872,59727294,48342949,38439581,38439580,48342939,58052076,58052075,70770360,84329226,71366240,71366239,70770329,70770328,58629484,47236499,37327432,28790904,21526609,21526608,28790900,37327424,47236487,58629459,58629465,71366231,84942760,71366118,58629361,47236428,37327391,37327390,47236424,48724040,60119111,70770371,70770372,71378895,59727336,48342979,38439604,38439602,48342976,58703771,71435633,59727308,48342960,38439589,29881430,22525731,268086424,38439593,48342967,59727323,72462903,84954207,71378903,71378902,84954205,84942884,71366243,58629474,47236493,47236492,58629471,71366220,71366143,58629380,58629381,71366144,84942785,84942873,85169675,72462915,70770398,58052106,58052105,58629354,58629355,47250267,47250268,58629422,58629420,58629897,58629901,71366316,71366314,84942937,98869611,86061010,72462908,72462909,86061013,84942900,71366263,71366264,58629814,58629813,58629569,58629570,58629270,47236361,47236363,51850583,41563607,41563608,37340480,37340479,47250252,47236747,37327606,28791007,21526662,21526663,28791011,37327610,47236758,58629795,47236742,47236744,47236505,37327435,37327433,47236502,47236533,37327456,37327457,47236534,37327507,37327506,28790960,21526639,21526641,21526626,21526627,256334211,47236572,58629579,71366337,71366413,58629651,47236644,37327541,28790968,21526644,15514256,10729845,10729847,15514261,21526649,28790977,28791030,28791029,37327570,37327571,47236690,37327676,37327675,47236797,256334233,21526678,21526679,28791038,37327648,47236804,58629873,47236813,47236812,269786491,84943276,98869708,84943067,71366438,71366437,58629888,58629887,58629738,47236703,47236704,47236793,47236794,58629851,257455337,37327532,28790963,28790965,37327537,47236634,58629649,47236663,37327552,37327553,47236636,37327538,37327539,47236641,48303330,47236694,37327580,37327581,47236699,37327593,28790998,28791002,37327601,47236740,58629695,58629696,58629568,58629567,47236648,47236646,58629653,71366313,71366312,84942934,98869608,112857627,260642392,112857682,98869842,84943194,84943193,259936585,115766042,112857745,98869817,84943163,84943162,98869694,84943043,71366405,71366404,84943040,98869688,87747818,84942963,270297479,71366529,71366525,84943182,98869831,86017113,72420471,72420470,71366524,58629745,58629744,71366522,84943174,98869770,84943119,84943120,98869771,112857702,99976910,86017109,84942945,84942944,84943106,84943105,98869743,99976896,114000806,115766063,260705411,101720790,87747812,74143305,61362712,61362713,74143310,87747815,101720791,115766040,126093643,112238900,98869740,84943084,71366446,71366445,84943082,86017021,84353648,70795036,58077656,58077657,58629689,58629688,71366453,270390364,72420469,59685430,48298857,38388344,29815486,29815485,256953477,257643648,48298848,59685417,70795054,84353529,70794925,70794924,269344521,29815455,29815454,29815508,22447515,16453027,16453028,22447519,16277859,16277852,16277853,22447510,29815505,38388347,38388345,30014902,22642956,16453031,11463563,7624987,7624988,11463567,16453036,22642959,30014910,38587371,48502285,59896074,59896043,48502256,256487086,30014893,38587347,48502260,59896045,72420418,72420419,86017068,88133085,258277653,61739078,74520903,88133061,74520869,61739040,61739041,61739075,61738963,50260467,50260469,61738965,59896003,48502208,48502210,59896007,59895972,48502190,38587306,30014875,256424699,38587328,30014882,30014866,30014867,38587288,48502170,59895939,72637779,74143393,61362791,59896040,48502253,48502197,38587310,38587309,40241086,31554911,31554910,40241084,50260575,61739120,74520965,73535356,60787939,60787940,73535358,258900177,61739045,50260523,40241045,31554886,31554872,24050595,24050594,30014879,30014878,38587319,48502214,48502280,59896066,72637904,74520909,61739081,50260547,40241061,40241062,38587325,38587324,48502223,53706347,65763290,79119321,79119315,79119314,74520935,61739098,50260555,40241066,31554902,31554903,34108368,43194624,53706356,65763302,79119341,72637859,72637858,74143378,74143377,76006342,74520785,61739009,61739008,74520831,88133019,102120798,116178342,130085927,123813504,109633933,109633936,123813508,137529031,150552904,142984916,129656101,123813538,109633989,109633990,123813540,129656157,129656156,129656214,115758242,115758147,115758148,129656168,115758324,101712083,87737853,74132014,74132013,87737851,101712079,101712031,101712030,101712036,115758290,129656213,142984956,142984922,129656114,115758021,101711761,87737599,74131856,74131857,87737601,101711765,115758024,116178338,116178339,115758048,115758047,116178352,102120932,88133175,74521003,61739155,61739154,258900191,101711735,101711723,101711722,101711750,101711749,115758010,101711844,87737663,87737664,87737691,74131900,61350101,61350102,49868150,39845610,39845609,49868148,61350168,74132023,87737862,101712097,115758223,115758197,115758196,101711986,101711985,101711811,87737637,74131872,61350085,61350086,74131876,87737610,95391071,95391072,87737724,74131914,74131915,87737615,87737616,101091795,115169040,102120922,88133164,74520998,74520995,88133159,102120914,102314734,102314735,116406991,127003526,113145988,99156105,99156106,88492917,88319053,88319054,102314605,101720777,87747790,87747788,74691529,74691530,61897940,50407403,40372529,31679084,31679083,40372524,50407396,61897922,74691585,85143987,85143988,88319082,88319083,102314647,116406907,129834116,130243436,260043102,88319143,88319144,102314700,116406957,109382041,101935345,101935346,101935340,101935339,115979798,114000922,99977007,86017169,72420512,72420511,86017162,99976992,99976973,86017154,72420504,59685456,59685455,72420498,86017143,99976950,114000855,113656042,99642234,85693266,85693265,99642231,113656038,114486501,100461747,100461746,114486497,127251765,113393270,109381969,99392644,99392643,99976956,99976955,109381916,109381918,95127699,81069534,67601388,55259670,44412073,255945700,59128659,59128660,71867018,85451929,259966547,127251827,123573395,109381912,109381911,123573393,119634296,119634295,113393381,99392659,258723186,59128655,59128654,270312953,99392658,113393379,127251815,261143987,261096800,112701154,98705350,84777226,84777227,98705352,99392720,85451955,71867038,59128670,47730070,47730071,269800767,71867041,85451959,99392725,113393451,109481805,109481804,123673542,137404636,150444063,140597960,139929580,259767044,98705354,84777231,71208357,58486670,58486669,71208354,84777228,81171866,67706393,55366786,44520845,44520844,55366785,67706392,59128674,47730073,37808148,29243901,21924346,21924347,29243905,268934973,47108613,58486672,71208361,84777238,98705368,112701168,126565387,126565378,271639110,113393469,108701008,108701007,113393462,113393463,127251853,133505945,259136490,127251786,140597926,127251851,113393458,113393457,105719621,105719622,99392747,85452004,71867074,71867075,85452006,71867094,59128719,47730101,47730100,59128716,71866811,59128516,59128517,71866813,84777232,84777233,85452023,71867095,71867000,59128650,47730058,47730057,59128645,71866991,85451897,99392633,113393277,257290308,86831441,100812757,99392631,85451994,71867068,59128698,257315632,37808159,47730091,59128700,257589096,47730092,59128702,47985186,38072840,38072838,47985182,59375190,72107620,72107621,71866957,59128621,59128620,47985188,47985189,47985123,47985122,47730036,47730035,59128602,61695088,59128706,59128705,52865470,42461559,33468286,25695384,25695383,33468284,42461555,52865465,64784538,52865469,52865468,54606882,43863928,43863929,47985053,47985055,47730040,42044529,42044528,52388674,52388665,52388666,61695084,59375119,59375117,47985131,38072801,29508852,22168191,22168192,29508857,38072845,47984883,47985176,47985175,256851906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3976115, s2 = 15050895, dlinesl.size( ) = 2 s1 = 3976115, s2 = 15050895, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3976115, Dl.E( ) = 22, 2.22e-05 seconds used appending s1 = 14164859, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7677819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4172948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3759232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9148324, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3977615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4118820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164832, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9399044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9399044, s2 = 9187263, int(edited[s2]) = 0 s1 = 9399044, s2 = 9187263, d1 = 1, d2 = 1 Dl.O(d1) = 38165235,29598557,22249287,16111510,11191240,7425531,7425532,11191243,16111515,22249294,29598568,22249422,22249421,29598725,29598939,22249623,16111789,11191457,7425681,4692418,4692420,7425683,7425757,7425756,11191547,16111883,22249725,22248881,16111149,11190922,11190924,16111153,16110180,11190256,11190255,16110177,22247514,16110040,16110039,22247513,29596487,29596494,22247521,22247520,22247641,22247642,29596629,29598442,38164458,38164457,48077267,47906344,37990222,37990221,47906342,257505368,55253003,44405144,44405143,55253002,44639936,35255458,27156422,20244724,20244723,27156426,35255463,44639941,55489840,67831030,81296779,95352801,109604916,123792608,137514614,150543407,162662160,173683213,173683215,183468725,183468724,184333089,174716121,259493786,139334226,125982834,112146222,256508666,70735991,70735990,61515356,61515355,74293012,258247214,115771344,115771345,129668055,116717773,102621817,89327203,75569164,260190131,117549726,117549727,131350296,257731300,137373164,137373163,150413778,258344260,258344256,150413777,137373162,123641374,109448630,95193404,81135856,254630566,44483616,35106739,27021029,20129588,14437163,9931077,9931076,12712007,12712006,17940039,24328242,31848037,40546124,47789310,47789309,255623890,71929023,70316540,57626149,57626150,66876870,54618986,54618987,66876868,80306494,87720768,74115188,61332781,49849630,39825994,31143632,23656569,23656570,31143634,39825999,49849632,61332782,257654267,40058257,31375929,256468144,23182941,26071436,28738311,255407078,10703020,10703018,15477415,21480584,28738308,255832002,37095207,46978548,58347895,71064196,71064198,84627725,98551690,112545713,126415401,139789071,152507204,164372010,175162184,184737635,193098775,200274394,195519201,187506849,178301501,167870268,167870267,156286302,143761500,130434697,130434696,117693086,116592459,116592458,130434695,143761499,137370645,123638511,109445183,259161215,67663740,55323698,55323697,67663738,55323775,44477538,44477469,256220867,20121229,20121228,27013616,27013619,20121231,14429821,9925844,6523510,6523509,9925842,14429817,20121221,20121222,27013606,35100443,44477444,55323658,67663700,81130741,81130742,95189093,95189096,95189095,95189094,109445159,123638487,113136206,113136205,99145963,99145964,113136209,113136215,113136210,113136211,126994458,126994461,140348692,140348697,126994465,259956051,85223545,71658146,71658145,85223543,99145972,113136222,126994464,140348695,153046517,262681509,175640548,185176188,193493796,200623389,206637461,211605567,215667041,219025858,221862175,221595376,218730987,215337393,211230187,206203304,263267646,184530058,174918148,164092472,152203609,139473472,126101399,112245147,258297236,70798276,58081563,257104890,42000115,33056709,268663462,18749088,18749087,25328301,33056999,42000364,52339465 Dl.O(d2) = 38165235,29598557,22249287,16111510,11191240,7425531,7425532,11191243,16111515,22249294,29598568,22249422,22249421,29598725,29598939,22249623,16111789,11191457,7425681,4692418,4692420,7425683,7425757,7425756,11191547,16111883,22249725,22248881,16111149,11190922,11190924,16111153,16110180,11190256,11190255,16110177,22247514,16110040,16110039,22247513,29596487,29596494,22247521,22247520,22247641,22247642,29596629,29598442,38164458,38164457,48077267,47906344,37990222,37990221,47906342,257505368,55253003,44405144,44405143,55253002,44639936,35255458,27156422,20244724,20244723,27156426,35255463,44639941,55489840,67831030,81296779,95352801,109604916,123792608,137514614,150543407,162662160,173683213,173683215,183468725,183468724,184333089,174716121,259493786,139334226,125982834,112146222,256508666,70735991,70735990,61515356,61515355,74293012,258247214,115771344,115771345,129668055,116717773,102621817,89327203,75569164,260190131,117549726,117549727,131350296,257731300,137373164,137373163,150413778,258344260,258344256,150413777,137373162,123641374,109448630,95193404,81135856,254630566,44483616,35106739,27021029,20129588,14437163,9931077,9931076,12712007,12712006,17940039,24328242,31848037,40546124,47789310,47789309,255623890,71929023,70316540,57626149,57626150,66876870,54618986,54618987,66876868,80306494,87720768,74115188,61332781,49849630,39825994,31143632,23656569,23656570,31143634,39825999,49849632,61332782,257654267,40058257,31375929,256468144,23182941,26071436,28738311,255407078,10703020,10703018,15477415,21480584,28738308,255832002,37095207,46978548,58347895,71064196,71064198,84627725,98551690,112545713,126415401,139789071,152507204,164372010,175162184,184737635,193098775,200274394,195519201,187506849,178301501,167870268,167870267,156286302,143761500,130434697,130434696,117693086,116592459,116592458,130434695,143761499,137370645,123638511,109445183,259161215,67663740,55323698,55323697,67663738,55323775,44477538,44477469,256220867,20121229,20121228,27013616,27013619,20121231,14429821,9925844,6523510,6523509,9925842,14429817,20121221,20121222,27013606,35100443,44477444,55323658,67663700,81130741,81130742,95189093,95189096,95189095,95189094,109445159,123638487,113136206,113136205,99145963,99145964,113136209,113136215,113136210,113136211,126994458,126994461,140348692,140348697,126994465,259956051,85223545,71658146,71658145,85223543,99145972,113136222,126994464,140348695,153046517,262681509,175640548,185176188,193493796,200623389,206637461,211605567,215667041,219025858,221862175,221595376,218730987,215337393,211230187,206203304,263267646,184530058,174918148,164092472,152203609,139473472,126101399,112245147,258297236,70798276,58081563,257104890,42000115,33056709,268663462,18749088,18749087,25328301,33056999,42000364,52339465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9399044, s2 = 9187263, dlinesl.size( ) = 2 s1 = 9399044, s2 = 9187263, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9399044, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 8685116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7052254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6727845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8512085, s2 = 14287167, int(edited[s2]) = 0 s1 = 8512085, s2 = 14287167, d1 = 53, d2 = 42 Dl.O(d1) = 109792893,123928811,137606821,130467914,259737994,258477284,50584438,270346032,254619513,3490027,3485730,254423183,254879099,17927805,24313137,256558559,50565111,62057798,74856829,74856774,74856773,88493988,88494000,88494003,102502820,116433288,130270503,272057756,143782297,130453177,116607776,259547627,74856760,257690295,40528524,40528525,258299585,88493971,260759787,143782299,262377356,143782339,143782340,261330432,178315874,187517734,195528075,202307759,195442895,187416009,178190938,167736156,156132976,143598221,271878233,102340018,116433300,130270515,143598223,156132982,167736161,172882145,262052616,149432554,260355760,102340020,259106956,260355758,156132984,143782328,130453220,116607809,102502847,88494025,88494000,88494003,102502820,102340006,88343800,74716088,61922953,50433072,50433073,61922955,256185160,31708145,31708146,256185162,257265268,50433066,50433067,61922946,74716092,88343806,102340015,102502832,88494011,88494012,102502834,88494065,74856833,74856834,260162151,130453225,130453224,143782330,156307397,262377363,272619963,262377361,261330435,116607776,259547627,74856760,257690295,40528524,40528525,258299585,88493971,260759787,143782299,262377356,143782339,143782340,261330432,178315874,187517734,195528075,202307759,195442895,187416009,178190938,167736156,156132976,143598221 Dl.O(d2) = 2069959,1188657,667850,370478,202818,110611,60699,60695,34184,34180,60899,111015,203546,371655,268283930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8512085, s2 = 14287167, dlinesl.size( ) = 14 s1 = 11660190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660190, s2 = 9727743, int(edited[s2]) = 0 s1 = 11660190, s2 = 9727743, d1 = 1, d2 = 1 Dl.O(d1) = 91122395,105343330,119577098,133443876,146692979,159058503,170394692,263330983,189437223,197139626,203713671,202380288,195528712,187518520,262846157,156308212,143783184,130454229,260162303,88495302,74858299,62059548,50567004,40530461,31832986,24314688,17928973,12703560,8630820,5612342,3485974,267774549,667944,370564,202861,202862,370568,385283,212100,115965,63351,63349,115954,212072,254109745,1221381,2118379,3555634,5712271,269491614,12895685,18183141,24639007,32236823,41029261,257721251,62835664,258959219,89582254,103698146,117852614,131680792,144929526,262411003,179062202,188127457,196027760,202790350,208470034,208470029,274534186,208470032,264597593,196027756,196027757,202790346,208470031,213151105,213151106,216978253,220153209,222838712,274429797,227159958,228914412,230461620,266159783,234193185,235210253,236136290,236980035,237749728,238449073,239087751,239674556,266974919,241618284,242016933,274918191,242724216,243041058,267285047 Dl.O(d2) = 91122395,105343330,119577098,133443876,146692979,159058503,170394692,263330983,189437223,197139626,203713671,202380288,195528712,187518520,262846157,156308212,143783184,130454229,260162303,88495302,74858299,62059548,50567004,40530461,31832986,24314688,17928973,12703560,8630820,5612342,3485974,267774549,667944,370564,202861,202862,370568,385283,212100,115965,63351,63349,115954,212072,254109745,1221381,2118379,3555634,5712271,269491614,12895685,18183141,24639007,32236823,41029261,257721251,62835664,258959219,89582254,103698146,117852614,131680792,144929526,262411003,179062202,188127457,196027760,202790350,208470034,208470029,274534186,208470032,264597593,196027756,196027757,202790346,208470031,213151105,213151106,216978253,220153209,222838712,274429797,227159958,228914412,230461620,266159783,234193185,235210253,236136290,236980035,237749728,238449073,239087751,239674556,266974919,241618284,242016933,274918191,242724216,243041058,267285047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660190, s2 = 9727743, dlinesl.size( ) = 2 s1 = 11660190, s2 = 9727743, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11660190, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7661276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7661276, s2 = 5493247, int(edited[s2]) = 0 s1 = 7661276, s2 = 5493247, d1 = 73, d2 = 45 Dl.O(d1) = 271424057 Dl.O(d2) = 226292849 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3762495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3846636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3979475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10240899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3979875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4001286, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6622528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9660308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8521919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8553055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660036, s2 = 3764543, int(edited[s2]) = 0 s1 = 11660036, s2 = 3764543, d1 = 8, d2 = 4 Dl.O(d1) = 266155617,266037069,228853485,265768085,225063396,222734254,265059587,212940914,208203690,208203691,212940916,216813516,220023495,274365785,265447491,265059589,216813515,265262439,220023502,220023501,222734247,265768083,227086985,225063395,222734251,222734250,265447489,220023502,220023501,222734247,265768083,228853483,227086984,225063392,222734243,222734244,265059591,216813516,216813510,212940911 Dl.O(d2) = 220023502,220023501,222734247,265614909,225063395,222734251,222734250,225063393,222734243,220023496,220023497,220023498,216813512,212940913,208203690,274039148,178443139,168041321,156492375,144001403,130707589,116889477,259557115,75118708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660036, s2 = 3764543, dlinesl.size( ) = 2 s1 = 11660036, s2 = 3764543, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11660036, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 2512224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3765266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8659698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9435966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14877426, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2338478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7053110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3982839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3768019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6944887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6944887, s2 = 13339807, int(edited[s2]) = 0 s1 = 6944887, s2 = 13339807, d1 = 35, d2 = 46 Dl.O(d1) = 260471534 Dl.O(d2) = 255006298,16134410,16134409,255006296,22545215,255097755,7568926,7568925,10714969,15494276,10716224,7569000,4786511,2884845,2884844,4457006,6869148,4530964,2723636,1578295,897378,897379,1578300,2723641,4530974,7192187,7079414,4457121,4457119,7079409,10714763,7078699,4456621,4456620,7078697,10714759,7567340,7567341,11390129,16367035,16367203,255917081,37296130,28762660,21502877,21502329,254811828,16366967,11390059,11390060,12316874,12316872,16367275,22542637,29898122,37295560,28762038,21502382,21502383,28762041,37295563,38101425,29537811,29537810,37772428,29210587,21896612,15818220,10962206,10962207,15107407,254782407,7567320,11390102,15495835,10716308,7079975,4457527,4457526,7079970,10716295,255039221,4457146,5353387,254268775,254134643,344589,620119,267771821,3290214,5353400,5572921,5532099,3417651,2017731,1154304,1154307,2017737,1154347,1154344,1598036,1598035,2009911,2009908,3407131,2253614,1307914,1307915,2253615,3761875,4690339,5501050,5501049,5531638,5514917,5514918,3421894,2021127,1156515,648881,359973,197104,107523,59090,33233,33232,59085,107512,197084,359929,648786,1156348,2012478,2012479,1150970,647839,647836,1151155,2004506,3399955,5508738,3449992,3449990,5497871,5525157,5547108,5547109,5519574,3406236,2009155,1148840,1148841,2009160,1989242,1136633,637708,354139,354138,637699,1136612,1932886,1104052,619450,344196,188723,188724,344201,619493,1104136,1933023,2006069,2006159,1149174,1149175,2009707,2038451,1168045,1168046,2038454,3443371,5525343,4690319,4690318,3405834,2008850,2008854,1926849,1100930,1100928,1157639,1157636,2022856,2043396,3449822,5355836,3291812,1935873,1935870,3291800,5355818,3442523,3442521,5556113,5556114,5501728,3454198,3443297,2038384,1168007,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1768502,3037731,5019941,7898808,255134827,23153098,256466011,33779028,25968883,25968882,33779027,42811620,46214316,57529568,50168640,40143843,31460618,31460617,30771942,23348618,17081331,11993503,11993502,17081329,17614949,17614947,23964918,31460608,40143832,47254163,37344748,37344747,29422396,24004369,17659196,17659195,17659198,17659200,23958892,29081153,30207391,30207390,29159649,21851233,21851234,17614077,17614078,14350138,14350139,20033594,268903166,19824976,14201122,14201121,268330017,34626832,43899097,47767419,58233352,46865541,36987105,36987106,40066062,31383437,23886871,17540437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6944887, s2 = 13339807, dlinesl.size( ) = 26 s1 = 3769256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8426211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7278330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7278330, s2 = 11373712, int(edited[s2]) = 0 s1 = 7278330, s2 = 11373712, d1 = 42, d2 = 36 Dl.O(d1) = 264892314 Dl.O(d2) = 256429199,47760421,257383550,85481816,258618132,127283861,261044328,175844034,262607180 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7035150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15688289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15688289, s2 = 11659543, int(edited[s2]) = 0 s1 = 15688289, s2 = 11659543, d1 = 5, d2 = 6 Dl.O(d1) = 228789604,266069611,229343785,227666487,225753184,223558602,221026336,218064693,214532136,210234692,204976836,198631466,191141440,182439021,172487714,172487713,182439020,189984851,181122341,171018615,159704842,147358098,270578254,257846174,91928424,78006739,256694260,78006740,85476534,99417264,113418295,127276516,140622092,153301998,165115410,165115411,168568038,272519110 Dl.O(d2) = 260197055,89454884,75689868,62742493,257132703,33103055,25368378,25368379,28260121,28260120,36755179,32188910,24601252,18153580,18153581,24601288,32188940,40968661,51111066,62742494,75689869,89454887,103553420,117688675,131494867,144721604,157121801,168568039,178867947,187960612,195887280,202674002,201469962,194468464,186294858,176919239,166320805,154600604,141956695,128595675,114698798,100653569,86680839,73076311,60336015,48938371,39015246,39015247,46354145,36496317,36496319,46354148,46824334,46354143,39015004,30426295,30426293,30426324,23021317,23021318,30426326,39015045,31024569,31024568,39701692,48938051,50275517,60335676,48937988,39014918,30426229,30426231,39014920,256033117,24061336,31566954,40254048,40254051,50275316,40254106,40254105,49115624,39186883,30589407,29742233,29742169,29742168,38310792,48220668,255988732,48162102,40320571,31632003,31632002,40320570,50346742,61830681,74623036,88253671,102252396,116347305,130186418,143516669,156053540,167659632,178119377,263640999,195388994,202260552,208038255,212801901,216696170,219923788,222647255,224986036,227018022,228790852,230352503,231740146,232986669,234114627,235140963,236074471,236923523,237696451,238398654,239039267,239628510,240173924,240678146,241145185,241577592,241977804,242347789,242691598,242995975,242674054,242328812,241955960,241552309,241116611,240646701,240139522,239592423,239000989,239000990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15688289, s2 = 11659543, dlinesl.size( ) = 2 s1 = 15688289, s2 = 11659543, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15688289, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 10181497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13761943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13521847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13521847, s2 = 14070172, int(edited[s2]) = 0 s1 = 13521847, s2 = 14070172, d1 = 20, d2 = 22 Dl.O(d1) = 63780730,51965072,41657235,41657234,51965070,51964953,51964952,63780648,75404116,89151203,75404103,62485917,50886593,50886594,62485919,62485970,62485969,75404146,89151237,103241212,258974300,259436958,52530322,52530321,64403701,70750036,70750035,84112212,70576037,70576038,76613956,63534081,51755397,51755395,63534077,63534089,63534091,76290072,63269464,59700682,51418642,51418643,63115444,76120912,84112372,97986932,269460338,63269611,63269612,76290085,63269477,63269478,59700685,48313807,38403039,38403040,48313811,59700688,72436555,72436556,63115429,51418630,51418631,63115431,76120894,89926934,85651287,72436585,59700701,59700703,72436587,75404122,75404124,76290069,63269462,257410876,51551739,63269459,51551911,51551688,41329600,32482445,24840898,18345673,13023640,13023639,18345671,24840893,268701528,32482280,32482279,40769281,41329589,256569250,53112253,42660349,269098619,53112269,42660372,41329790,41329789,51551661,41329574,257119326,13023613,8867668,8867667,13023610,18345607,24840780,32482249,33631334,256569252,25829109,33631314,42660374,41329540,32482238,32482239,41329543,51551631,41329554,32482363,32482362,41329728,257119324,51551650,48964642,41329835,41329834,41329602,41329601,41329867,268473487,18345680,13023644,8867685,5780974,3602632,2149870,2149869,3602630,5780968,8867671,12784244,9378677,6143971,6143970,9378674,13694499,19177035,25829116,31912878,24381039,18345600,13023605,13023606,18345602,18345657 Dl.O(d2) = 126212906,112352984,98370705,84461466,84461465,98370626,98370627,98370685,104433756,118618314,126212905,126212863,112352921,112352922,126212865,112352981,112352982,112352978,112352979,126212902,126212869,261074475,125997990,259488022,112209266,98230961,84323499,269390288,112209269,259488024,137453363,139348170,125997978,112161896,98199397,98199396,84303260,70751563,70751562,84303233,70751526,70751525,84303231,98199391,84303215,70751511,58037198,58037199,58037252,70751584,84303283,98199436,112161914,122356005,107929115,107929114,107929117,93491214,79354629,65987640,53918916,53918915,65987639,256085848,52106172,52106173,63925836,53203703,53203704,65188932,73001559,269098594,72588422,59850566,48459831,48459832,59850568,50095335,40074479,31392947,31392946,40074476,40074475,43393734,53918918,58178934,46811582,46811581,258033805,84450013,98359715,89733686,75954723,62973186,51296510,41115425,32303693,32303695,41115428,51296513,62973192,75954729,89733693,258895066,271397594,157513672,168978515,179266053,188317990,196201759,202946718,273747742,217048898,220207795,222882951,225186595,224721268,222344513,219575624,216297354,264540727,201630985,194653541,186506308,177158377,262301845,154885076,166585124,175146582,164353824,152486525,139766009,126390616,112520231,98525494,84600662,71036482,58320885,46953771,37073621,28570625,21342720,15367992,10618496,7007525,4405015,254295264,1525436,2640547,4405012,7007522,10618494,15367991,15367985,10618484,10618483,15367984,255827797,37073614,46953765,58320876,71036474,84600658,98525488,107354542,92949776,92949775,107354541,92949779,78843136,65510814,256960456,256960458,78843131,72535562,255483372,38509329,254539748,19652472,14086406,14086407,17842125,12634733,8579959,5574701,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578338,12634271,17841513,24211658,31718882,36647193,39194896,49122490,60523560,257541140,123341810,137094175,150158544,162317314,173380591,183204989,181018693,181018692,181018691,181018690,170901122,159573944,147215328,259252700,120152139,125506147,111700317,97778478,83920116,83920115,97778477,91732896,91732895,91732892,77805192,64622718,52722575,42335543,33354424,33354425,42335545,52722577,46350770,36493078,28030644,28030645,28030643,20863160,20863159,256240972,14969407,10391810,10391811,10319802,255002281,14950987,10285100,6760464,6760463,254706311,4241716,2536088,2536087,4241712,6768081,10294839,14962284,20864209,15018585,15018584,14991133,10322358,6791671,4258164,2562805,1475811,1475812,2562811,4092804,4092803,6531828,5212744,3180262,3180261,5212736,6766432,6766431,10292807,10320780,14948361,10286261,10286260,14948352,255248207,13291550,18672286,13308520,12088345,10379836,10379837,15052624,10378614,10378613,9071461,5932034,5932033,6831257,10368922,11217924,11217926,16147126,22291587,17193274,12089777,8130223,5208865,4282240,2560251,1474497,833813,833814,1474500,2560260,2418311,2418310,1861094,1062034,597089,332808,332809,597019,597020,1061915,254388689,8132807,12093402,17197990,23481105,256492907,49462032,39528505,39528506,44478955,44478956,44478962,35101864,35101865,44478963,38760278,38760279,38760280,38760276,256266982,16572582,11553637,7687609,254479420,11549440,11549441,13450823,9198515,9198514,13450829,16574261,18745841,13345771,9119072,5966774,5966773,4862900,2930319,2930320,4862901,6990705,7573335,6543435,6543434,9955873,11429501,7598203,4806476,2896797,2896798,4806480,7591672,4802113,254538135,11421644,15172275,15172276,10701680,10701679,13342326,9115835,9115836,11611925,7731693,4894609,4894606,7584846,11413459,16396950,22579640,29942857,38506727,39872932,31190105,23700100,17377919,12245949,8270925,8270927,255166131,23700108,31190109,26698742,19878100,255732995,34693414,257060182,30216352,22824053,254845768,7707676,4878008,2939226,2939227,4878014,7707691,11579819,16603521,15176265,15176266,21124750,21895468,15817315,15817314,10961554,7255733,7255728,10961549,15817333,21895484,29209231,31198232,30601516,23182827,23182828,30601519,38488641,37771435,29209574,29209573,37771433,37771093,268934139,38390498,38488803,29927962,22567594,22567595,29209296,29209295,37771145,37771291,37771265,29209393,28569056,21341475,15367012,10617659,7006848,4404494,4404495,7006853,10617671,15367039,21341519,28569153,37071858,46951765,38800647,38800646,46951558,37071782,28569104,28569105,28569127,29209256,29209255,37771073,47692540,268613440,37071643,46951509,46951691,46991662,58361731,58318495,46951515,46951514,58318493,58318545,58361487,46991375,38488797,29927958,29927955,38488793,46991218,37106737,37106735,37071726,37071727,46951565,46951562,46951498,46951497,37163636,37163637,37083933,37083934,37071655,37071654,42419323,46951603,46951602,47054391,37163630,28647177,21405229,21405228,28647175,37071720,30704124,30704125,28569124,21341504,15367028,255398023,28569117,30704108,30704109,37163614,37163612,46951748,46951747,46991207,48300900,59687555,58318536,46951573,37071698,37071697,28598227,28598229,37106388,46991222,54869601,58428999,58318481,58318479,46991243,46991242,37106715,37106714,256856324,37106728,37106727,28598464,21365508,15386177,10633081,10633080,15386175,255397644,37106722,46951597,256857504,37071814,37071815,37071804,37071803,46951705,37071798,28569113,28569112,37071792,37077911,28647193,21405239,15417708,10657733,10657732,15417703,21405233,28647180,28598234,21365365,21365366,28598239,37106398,44068944,44068943,37106571,37106570,37106703,28598444,21365496,21365497,28598448,37106404,37106403,46991240,46991644,37106741,37106740,37106731,37106732,46991386,43896692,34624711,34624708,43896684,37106547,28598343,28598342,37106546,46991433,58361535,58827573,71555127,59684707,59684708,72419308,73402004,60655581,49254991,49254992,58361616,49254975,49254974,60655586,73402010,73402052,68131693,68130328,55732799,44825499,44825497,55732797,58714634,47325702,37417181,28875534,28875535,37417183,47325705,58714638,256472074,98944020,255976700,72419239,60489286,60489285,73236012,86015347,72419225,72419226,73119401,73402019,257016748,59684716,59684714,71850437,60379458,60379457,73119403,75035152,72419271,70420985,70420984,72419273,258220666,84598503,71034185,58318570,48298336,38387999,29815284,29815285,38388002,48298345,59684638,71850626,71850628,85435996,72419262,59684661,59684660,72419260,73534897,60787444,60787443,71850579,59112482,47714894,47714895,59112313,59112281,47714725,37794007,37794011,47714732,59112292,71850387,59112495,47714906,37794127,29231907,21915024,21915023,29231905,37793957,29231817,29231816,29231870,21915004,15832130,254755061,4579975,4579974,7262200,10971566,15832119,21914977,29231824,36516288,36516243,28051854,28051855,36516245,46375443,57725662,57725663,51753934,41483664,41483667,51753937,46375254,36516073,36516072,41483756,41483757,51754021,46375646,36516426,36516425,46375644,51898483,59117353,47719944,256241144,29236466,29236548,29236549,36516434,32604843,32604842,41483654,51753926,46375749,36516512,36516513,41483768,32604928,256606819,51754034,57725939,57725938,59117407,59117397,47720005,256366779,29236502,32604998,24941479,21918654,15834646,15834647,21918632,15834637,10973156,7263150,7263149,10973153,15834630,21918614,29236412,37799213,47719778,37799136,256908631,47719775,47719776,47719827,47719826,59117210,71855003,71855158,71855156,59117437,47720041,37799369,37799370,47720047,59117446,59117338,59117337,47725527,37803966,37803967,47725533,51754085,255669226,34594318,34594317,43865208,54608340,63538394,51759636,51759637,63538395,71908691,257158768,47771450,257748453,41489338,32609904,24945523,18431106,18431094,18431093,24945505,32609874,41489287,51759703,58397554,58397553,51759632,41489239,41489238,41489285,51759701,51759785,51759786,59170485,47771452,41490200,41490201,41489564,41489563,257160935,32610039,32610041,37137394,28624565,28624564,32610119,24945760,18431261,13091882,13091881,18431132,24945558,24945643,32610057,32609984,24945588,24945589,32609986,32610109,24945706,24945705,28160358,28160359,32610256,24945806,18431303,13091911,8921579,254901839,8672933,8672935,12761590,18007301,24418473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13521847, s2 = 14070172, dlinesl.size( ) = 2 s1 = 13521847, s2 = 14070172, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13521847, Dl.E( ) = 26, 3.29e-05 seconds used appending s1 = 3988784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8469883, s2 = 14206279, int(edited[s2]) = 0 s1 = 8469883, s2 = 14206279, d1 = 0, d2 = 0 Dl.O(d1) = 8797055,12931412,18231168,24701240,32314993,41128127,51311069,258340877,75971671,75971672,89750588,89750589,260208801,131827761,117999803,117999802,131827760,261914189,262416138,169604568,158227995,260805794,132639376,118821157 Dl.O(d2) = 8797055,12931412,18231168,24701240,32314993,41128127,51311069,258340877,75971671,75971672,89750588,89750589,260208801,131827761,117999803,117999802,131827760,261914189,262416138,169604568,158227995,260805794,132639376,118821157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8469883, s2 = 14206279, dlinesl.size( ) = 2 s1 = 8469883, s2 = 14206279, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8469883, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3772984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3772984, s2 = 114294, int(edited[s2]) = 0 s1 = 3772984, s2 = 114294, d1 = 25, d2 = 0 Dl.O(d1) = 131829246 Dl.O(d2) = 2536121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3772984, s2 = 114294, dlinesl.size( ) = 2 s1 = 3772984, s2 = 114294, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3772984, Dl.E( ) = 76, 2.69e-05 seconds used appending s1 = 11659968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4185061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4185061, s2 = 15120908, int(edited[s2]) = 0 s1 = 4185061, s2 = 15120908, d1 = 21, d2 = 44 Dl.O(d1) = 157542814,145108896,131850575 Dl.O(d2) = 103881796,89780283,76002867,63019479,51338570,41153421,254443332,18248855,13482965,13482966,18913744,25523139,255659970,42263079,256123002,77730250,91657968,105866110,120078749,259651762,159507131,170837511,180959260,272982348,189840515,191953853 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8372589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9181701, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10235996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3990698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3990698, s2 = 9502983, int(edited[s2]) = 0 s1 = 3990698, s2 = 9502983, d1 = 0, d2 = 3 Dl.O(d1) = 145188030 Dl.O(d2) = 5754645,3583507,2135591,1232433,697684,697683,1232429,254290679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3990698, s2 = 9502983, dlinesl.size( ) = 2 s1 = 3990698, s2 = 9502983, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3990698, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 3775098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3775098, s2 = 2124727, int(edited[s2]) = 0 s1 = 3775098, s2 = 2124727, d1 = 4, d2 = 49 Dl.O(d1) = 131982415 Dl.O(d2) = 99818050,113833151,127702472,261722187,165496892,176175075,185635594,193889953,200964684,206931645,211861453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3775098, s2 = 2124727, dlinesl.size( ) = 22 s1 = 9405445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8531494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8480870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13750231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2991724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2991724, s2 = 11170650, int(edited[s2]) = 0 s1 = 2991724, s2 = 11170650, d1 = 1, d2 = 1 Dl.O(d1) = 90273772,76443659,76443660,90273775,104424823,118607676,132446130,261168516 Dl.O(d2) = 90273772,76443659,76443660,90273775,104424823,118607676,132446130,261168516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2991724, s2 = 11170650, dlinesl.size( ) = 2 s1 = 2991724, s2 = 11170650, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2991724, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10238032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13281429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6929859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3995569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3780369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8374061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3780994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3997055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3782222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13366173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3997586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8471737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8591066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8591066, s2 = 13454448, int(edited[s2]) = 0 s1 = 8591066, s2 = 13454448, d1 = 0, d2 = 0 Dl.O(d1) = 260340445,135726670,148966071,146218460,132985444,119150604,104954605,90774914,76896051,76896052,76896053,63786114,51970888,51970883,51970884,63786104,76896046,76896047,63786107,268927014,25059909,25059912,257169879,63786108,63786109,76896048,76896050,63786112,63786106,268927014,25059909,18521254,13159677,8969861,8969862,13159681,18521266,15175682,15175681,21123966,18721543,18721544,25295910,22960225 Dl.O(d2) = 260340445,135726670,148966071,146218460,132985444,119150604,104954605,90774914,76896051,76896052,76896053,63786114,51970888,51970883,51970884,63786104,76896046,76896047,63786107,268927014,25059909,25059912,257169879,63786108,63786109,76896048,76896050,63786112,63786106,268927014,25059909,18521254,13159677,8969861,8969862,13159681,18521266,15175682,15175681,21123966,18721543,18721544,25295910,22960225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8591066, s2 = 13454448, dlinesl.size( ) = 2 s1 = 8591066, s2 = 13454448, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8591066, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 9673068, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13353961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13353961, s2 = 9079459, int(edited[s2]) = 0 s1 = 13353961, s2 = 9079459, d1 = 19, d2 = 14 Dl.O(d1) = 119707240,119707239,123781911,109592380,95338088,81279839,81279838,81279836,67812632,67812633,81279837,95338086,95338092,81279841,67812638,55471028,44621695,44621694,55471026,256428712,256428704,52325568,52325567,55471060,255930118,55471014,55471019,55471020,55471035,44621701,35239040,27142833,27142832,35239038,44621698,52325564,44621704,44621703,55471036,67812643,81279846,81279859,81279887,67812671,256428726,268955188,67812672,67812673,81279890,95338144,109592403,123781923,109592429,109592430,123781902,109592372,95338078,95338079,109592375,123781906,123781947,123781946,109829672,109592361,95338068,81279826,81279827,95338070,109592364,109592362,109592363,123781893,133581865,146839533,159212526,159212527,162654497,260627952,180681698,180681699,189579433,183461660,173675879,162654495,162654496,152907611,152907610,146256645,133022577,133022578,146256646,158631211,154379111,152907609,146302187,140217663,126871031,123969216,109829684,109829683,119244577,119244576,133074626,133074629,259629966,149174126,137650634,137650635,260842620,152456744,139731235,135950146,135950145,149174137,137650629,123969201,123969202,123969217,109829689,269976380,68102580,55705277,55705276,68102577,81592151,259002714,123969208,123969213,272101325,129705221,129705224,129705223,129705222,123969206,112682911,98688287,87786502,74181999,61401945,49922193,49922192,61401946,74182002,61401947,269511648,49922189,52718695 Dl.O(d2) = 175380383,164620197,152785366,140095068,126747584,112895877,98908315,98908316,98908317,85614687,72026304,59289760,47893888,37976118,37976117,47893886,47283761,37374292,28834377,21563358,15541799,15541798,15541800,10748712,7101453,4777486,2879256,1670948,950709,950710,1670952,2879264,4777504,7555085,7104499,4472891,4472890,7104496,10753487,15548120,20124459,17258249,12173767,12173768,12173765,12173766,15175780,16320440,254392534,15909338,22010889,29342918,29858062,22494009,22494010,29858063,29853539,22488170,22488171,29853541,254836162,22493400,22488172,22488173,29853543,30412531,23007435,16767794,11721010,7825052,4966583,4966582,7550696,7550693,11365172,11365305,11050779,11050780,15920761,22021908,28518717,21297827,21297826,28518715,29859098,22498677,22498676,28517737,21296710,15329579,10587714,6984357,6984356,254846204,7543961,4859903,4859905,5179077,5179080,8083078,12022851,11091721,11091720,15977785,21368930,17237086,17237085,254583860,22488039,22492650,255068588,29861506,29861505,29856995,28518211,21297209,21297208,28518209,36720243,36811722,46694904,46683178,36797535,36797534,46683176,46685315,36800914,36800913,46685314,255975060,46683102,37416066,37416067,39732480,46683110,36797418,36797417,46683109,41702798,32787015,32787016,32787872,268227178,28874474,21598980,15571218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13353961, s2 = 9079459, dlinesl.size( ) = 2 s1 = 13353961, s2 = 9079459, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13353961, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 9515276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9515276, s2 = 7680913, int(edited[s2]) = 0 s1 = 9515276, s2 = 7680913, d1 = 48, d2 = 34 Dl.O(d1) = 146279630,146279672,261371360,262412472,180173885,170007031,261371344,133051907,146279605,133051871,271483554,105028332,105028333,119221403,133051880 Dl.O(d2) = 272329952,261910456,158648222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9515276, s2 = 7680913, dlinesl.size( ) = 8 s1 = 6930813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6543527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6543527, s2 = 12275700, int(edited[s2]) = 0 s1 = 6543527, s2 = 12275700, d1 = 17, d2 = 42 Dl.O(d1) = 255791380,83926388,76979675,76979674,257525890 Dl.O(d2) = 190204702,181403353,181403352,181403355,171383280,160164768,268310402,121001515,106748756,106748757,121001517,268310404,160164773,269109826,190204708,181403359,171383285,171383283,257242498,160164771,147916704,147916703,160164770,257242496,258452018,259710410,197804537,197804539,259710414,197804530,197804529,204280135,209682893,209682887,259080696,181403356,190204705,197804525,204280131,209682885,214115607,209682896,209682895,209682889,204280133,197804528,257835050,258452020,258452022,190204713,197804527,204280132,259080698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6543527, s2 = 12275700, dlinesl.size( ) = 20 s1 = 3999475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9705197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9705197, s2 = 9675856, int(edited[s2]) = 0 s1 = 9705197, s2 = 9675856, d1 = 0, d2 = 0 Dl.O(d1) = 112268533,98286738,98286737,84377421,270136186,112268532,126127676,139502495,152233463,164120393,174941510,184547952,175279207,164506568,269943312,126598842,112740921,98751318,84826648,71255100,71255099,58525632,47139119,37235070,28705256,21451126,15453065,10684397,7058040,4956375,4956374,3680121,2990428,1737334,987529,987534,1737757,1282841,1282839,1282841,1282838,1282817,1282815,1282510,1282507,1737885,2992943,254195942,11712944,16759990,22999693,30404787,38994065,41422693,41422694,51664649,63407994,76451994,73537393,60790271,49389616,39461294,39461293,49389615,60790270,73537391,87155683,101153612,115230910,105051628,90872332,90872333,105051632,119244447,133074546,272000646,272000648,189133646,196876876,201375346,194351536,186151106,260845652,154360613,141711572,128364424,114488460,100463893,100463892,89958704,258759876,257570614,54655259,54655258,52062877,41749103,32828433,25124030,18572058,18572059,25124032,32828436,32827797,25123516,25123517,32826800,25122631,25122630,32826798,32827218,25122974,18571239,18571155,18571154,18573791,18573792,13198822,8997545,5874218,5874219,8997549,13196882,8996303,5873457,5873458,8996305,13196889,18571074,25122749,32826956,41747565,41747139,41747140,41747258,32826644,25122518,25122519,32826649,41747197,32826591,25122477,25122478,32826592,41747199,41747425,41121265,32826996,25122785,18571097,13196903,13196902,18571092,25122777,32826985,33820195,26003001,19330025,19330026,26003002,26001575,19329000,19328999,26001150,19328680,254945271,6215716,6215717,9479290,13821799,19328682,19328674,13821793,13821794,19328675,26001142,24289140,24289141,31803701,26043850,26043851,31076786,23593390,17281225,17281224,23593386,26000744,33817865,40498900,32816986,25113437,25113436,25887605,32816322,25112912,25112910,32816309,28185531,21423242,15431802,15431803,21423246,26002111,26002110,32815854,26002147,26002146,25125244,18572986,13198260,13191248,8992528,8992527,13190890,8992310,5870917,5870918,8992316,13190897,18562741,19329422,13822277,13822276,19329419,18563315,13191259,13191260,18563317,25113495,32817060,31706001,24718079,18244918,18244919,24718081,32334272,32815849,31803668,24289123,24289125,31803671,25111978,18562316,18562314,25111975,32815099,33817683,42859145,33819359,33819339,26002123,19329367,13822243,9479564,9479565,13822244,19329369,15456485,15456484,21455435,28710435,36928091,256331676,58534837,58534838,71266543,258063680,259783541,67599001,257306535,35035359,255741667,14388051,14388052,14388053,9893781,6501597,6501596,9893778,12531884,12531885,11467915,7628068,7628069,7628095,4826254,4826255,7628108,11467959,15731533,11567043,7698956,4872665,2936232,2936233,4872669,7698966,7699561,7699560,4873579,4872035,4872034,7697974,9893791,9893792,7509473,7509472,10514138,10514140,14368355,9874518,9874520,14368364,11333806,7531389,7531391,11333811,16290672,21663023,16589185,11568959,7700380,7700381,11568961,16589190,21592086,21592088,28866607,29827335,22459988,16292113,11335203,11335204,7698816,4872576,2936182,2936183,2937231,1703292,1703294,2937234,4874516,7702010,255114705,22809107,26945708,256740217,35026603,26945706,26945707,35026604,44402003,55249844,67591386,81058938,95116317,109370072,260987227,150334340,162469011,150334341,137292877,123561110,109370076,95116321,81058943,67591388,67591387,81058941,95116318,95116319,109370075,123561107,123561108,127807085,127807084,113927483,99904558,85946410,72351106,257528191,48229756,48229757,38319839,29750723,29750722,38319836,29750721,22390875,16231752,11284276,255091293,11284275,12493916,8462373,5468127,3362759,3362758,5468124,5471114,8465287,8462372,5468126 Dl.O(d2) = 112268533,98286738,98286737,84377421,270136186,112268532,126127676,139502495,152233463,164120393,174941510,184547952,175279207,164506568,269943312,126598842,112740921,98751318,84826648,71255100,71255099,58525632,47139119,37235070,28705256,21451126,15453065,10684397,7058040,4956375,4956374,3680121,2990428,1737334,987529,987534,1737757,1282841,1282839,1282841,1282838,1282817,1282815,1282510,1282507,1737885,2992943,254195942,11712944,16759990,22999693,30404787,38994065,41422693,41422694,51664649,63407994,76451994,73537393,60790271,49389616,39461294,39461293,49389615,60790270,73537391,87155683,101153612,115230910,105051628,90872332,90872333,105051632,119244447,133074546,272000646,272000648,189133646,196876876,201375346,194351536,186151106,260845652,154360613,141711572,128364424,114488460,100463893,100463892,89958704,258759876,257570614,54655259,54655258,52062877,41749103,32828433,25124030,18572058,18572059,25124032,32828436,32827797,25123516,25123517,32826800,25122631,25122630,32826798,32827218,25122974,18571239,18571155,18571154,18573791,18573792,13198822,8997545,5874218,5874219,8997549,13196882,8996303,5873457,5873458,8996305,13196889,18571074,25122749,32826956,41747565,41747139,41747140,41747258,32826644,25122518,25122519,32826649,41747197,32826591,25122477,25122478,32826592,41747199,41747425,41121265,32826996,25122785,18571097,13196903,13196902,18571092,25122777,32826985,33820195,26003001,19330025,19330026,26003002,26001575,19329000,19328999,26001150,19328680,254945271,6215716,6215717,9479290,13821799,19328682,19328674,13821793,13821794,19328675,26001142,24289140,24289141,31803701,26043850,26043851,31076786,23593390,17281225,17281224,23593386,26000744,33817865,40498900,32816986,25113437,25113436,25887605,32816322,25112912,25112910,32816309,28185531,21423242,15431802,15431803,21423246,26002111,26002110,32815854,26002147,26002146,25125244,18572986,13198260,13191248,8992528,8992527,13190890,8992310,5870917,5870918,8992316,13190897,18562741,19329422,13822277,13822276,19329419,18563315,13191259,13191260,18563317,25113495,32817060,31706001,24718079,18244918,18244919,24718081,32334272,32815849,31803668,24289123,24289125,31803671,25111978,18562316,18562314,25111975,32815099,33817683,42859145,33819359,33819339,26002123,19329367,13822243,9479564,9479565,13822244,19329369,15456485,15456484,21455435,28710435,36928091,256331676,58534837,58534838,71266543,258063680,259783541,67599001,257306535,35035359,255741667,14388051,14388052,14388053,9893781,6501597,6501596,9893778,12531884,12531885,11467915,7628068,7628069,7628095,4826254,4826255,7628108,11467959,15731533,11567043,7698956,4872665,2936232,2936233,4872669,7698966,7699561,7699560,4873579,4872035,4872034,7697974,9893791,9893792,7509473,7509472,10514138,10514140,14368355,9874518,9874520,14368364,11333806,7531389,7531391,11333811,16290672,21663023,16589185,11568959,7700380,7700381,11568961,16589190,21592086,21592088,28866607,29827335,22459988,16292113,11335203,11335204,7698816,4872576,2936182,2936183,2937231,1703292,1703294,2937234,4874516,7702010,255114705,22809107,26945708,256740217,35026603,26945706,26945707,35026604,44402003,55249844,67591386,81058938,95116317,109370072,260987227,150334340,162469011,150334341,137292877,123561110,109370076,95116321,81058943,67591388,67591387,81058941,95116318,95116319,109370075,123561107,123561108,127807085,127807084,113927483,99904558,85946410,72351106,257528191,48229756,48229757,38319839,29750723,29750722,38319836,29750721,22390875,16231752,11284276,255091293,11284275,12493916,8462373,5468127,3362759,3362758,5468124,5471114,8465287,8462372,5468126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9705197, s2 = 9675856, dlinesl.size( ) = 2 s1 = 9705197, s2 = 9675856, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9705197, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3287372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3287372, s2 = 7183841, int(edited[s2]) = 0 s1 = 3287372, s2 = 7183841, d1 = 15, d2 = 9 Dl.O(d1) = 105070153,119263004,133092817,146320054,158687851,170044847,170044846,180208568,189147405,189147399,262289608,170044842,170044847,170044846,180208568,180208570,262764482,196888876,189147408,189147402,180208566,170044845,158687849,146320053,133092816,133092817,146320055,158687852,170044849,262289610,158687844,146320046,133092813,133092814,146320048,133092819,119263006,260055900,146320057,261777908,180208576,189147414,189147411,180208574,180208572,189147402,180208566,170044845 Dl.O(d2) = 263703909,265466869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3287372, s2 = 7183841, dlinesl.size( ) = 2 s1 = 3287372, s2 = 7183841, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3287372, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 4000984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343132, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4001187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192801, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3788247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7077778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7077778, s2 = 13907359, int(edited[s2]) = 0 s1 = 7077778, s2 = 13907359, d1 = 144, d2 = 224 Dl.O(d1) = 262250215 Dl.O(d2) = 233212021,234313857,266278555,230642851,274489195,225443821 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8517221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2011124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2011124, s2 = 1825822, int(edited[s2]) = 0 s1 = 2011124, s2 = 1825822, d1 = 29, d2 = 5 Dl.O(d1) = 52316950,64168498,260261053 Dl.O(d2) = 47746629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2011124, s2 = 1825822, dlinesl.size( ) = 2 s1 = 2011124, s2 = 1825822, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2011124, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 11659806, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9257584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9257584, s2 = 9181427, int(edited[s2]) = 0 s1 = 9257584, s2 = 9181427, d1 = 1, d2 = 1 Dl.O(d1) = 203845461,197287321,263339071,262463539,146860096,133603120,260859511,105490490,91268172,259647057 Dl.O(d2) = 203845461,197287321,263339071,262463539,146860096,133603120,260859511,105490490,91268172,259647057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9257584, s2 = 9181427, dlinesl.size( ) = 2 s1 = 9257584, s2 = 9181427, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9257584, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10344925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344925, s2 = 9261560, int(edited[s2]) = 0 s1 = 10344925, s2 = 9261560, d1 = 57, d2 = 51 Dl.O(d1) = 4409590,4409587,5998091,5998087,9164526,13404794,18816400,25406850,33066417,42010584,269073660,25336861,268293294,42010582,42010584,52349959,256118982,91268200 Dl.O(d2) = 170570690,170570689,180701870,189599306,197287336,203845477,209319833,213810158,264352716,220567524,217494517,213810156,209319832,203845476,203845477,209319834,213810159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9473526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9473526, s2 = 7057258, int(edited[s2]) = 0 s1 = 9473526, s2 = 7057258, d1 = 46, d2 = 33 Dl.O(d1) = 25406851,25406850,25336862,18757252,255656459,33066421,257188904,256118982,257188906,257778206,259019678,146860109 Dl.O(d2) = 261963878 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8774674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4007209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6562010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6562010, s2 = 7047103, int(edited[s2]) = 0 s1 = 6562010, s2 = 7047103, d1 = 194, d2 = 205 Dl.O(d1) = 255989136,42018016,260264323 Dl.O(d2) = 115297094,261807573 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8660545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6983004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1790852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1790852, s2 = 9664821, int(edited[s2]) = 0 s1 = 1790852, s2 = 9664821, d1 = 1, d2 = 7 Dl.O(d1) = 47071252,37177762,256864619,37177762,28658656 Dl.O(d2) = 268613531,24890213,32535295,41385857,51370096,41183764,32367565,24750497,24750498,32367568,28372892,28372893,36869764,46749103,58117710,57968627,57968628,59433882,72172535,76034933,76034934,89812606,103914961,118057934,131883047,131883046,145139497,261319914,261965903,262925649,189615349,263206384,170589445,170589444,273443855,203858904,273879398,197302251,189615345,187239247,187239246,187239240,177990888,177990887,177990880,167518540,155902334,155902335,167518541,177329661,262823341,155902351,143358770,143358769,142433481,129059481,129059482,130026011,143358766,143358760,130026006,116116574,102058863,88073267,74461055,74461054,88073266,102058861,116116571,116116591,130026022,130026020,130026019,143358774,155902357,167518563,162071912,149857739,136714904,122882570,122882571,136714906,136714926,136714890,136714891,122882567,122882563,108617854,94330237,94330227,80273579,66843595,54583976,54583977,66843597,67664906,55324918,55324919,67664904,81131737,80273632,256448292,86427089,255948394,72832127,77586018,64417037,255121670,33223710,33223711,254245706,269362993,48806899,41025938,32233525,24635907,254892886,17950084,24340551,31862794,33680790,25874659,19215777,13725672,9402188,6159921,3854330,3854332,6159927,6218998,6159920,3854330,3854332,4970439,4970438,7830407,11728859,16775455,23015354,30420416,39009716,33835452,33835453,42878225,53341873,48933181,48933182,60330976,73071529,259435237,100649285,86676305,257838820,60330974,70475877,57776153,46421961,36558518,36558519,39130826,32225119,24629479,24629480,32225121,24629496,18175631,254890793,8766674,12889805,18175628,24629488,32225131,41015565,51169563,59570479,62816191,268022500,41015576,41015577,51169570,41015573,32225135,32225134,41015571,42812571,42812570,53265548,51169574,51169573,62816198,75776138,78654510,65351243,53348981,42884600,33841120,255699521,254946093 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3298984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3795482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13371493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13973681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6664419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9704789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4010822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8558712, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10209171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6729400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3799086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6978261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8630085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8630085, s2 = 11406177, int(edited[s2]) = 0 s1 = 8630085, s2 = 11406177, d1 = 101, d2 = 96 Dl.O(d1) = 170814503,261751582 Dl.O(d2) = 178107373,187342098,195380341,202252986,208031437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8630085, s2 = 11406177, dlinesl.size( ) = 2 s1 = 8630085, s2 = 11406177, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8630085, Dl.E( ) = 102, 3.19e-05 seconds used appending s1 = 13670879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659572, s2 = 14339366, int(edited[s2]) = 0 s1 = 11659572, s2 = 14339366, d1 = 54, d2 = 57 Dl.O(d1) = 29104222,29104225,37653184,37653195,255863181,255055823,7211921,4543917,4543916,7211908,4543910,2731483,2731484,4543912,7211912,10904569,15744982,10904573,7211918,7211917,10904576,15744989,21806006,29104242,37653192,47558481,256960527,29943453,22580325,16397757,16397756,22580324,29943450,30273418,22876212,16647949,11615954,7735259,254366357,2951499,4897365,7735257,9119206,7726499,4890646,4890647,4890652,7612257,4816005,4816004,7612255,11426521,7603805,4810482,4810485,4810956,2899455,2899454,2899888,1682472,956781,539219,302204,302201,539209,956762,1682387,1682383,2899754,4811480,7605319,8929604,7695318,7695319,11562566,16397134,16397135,18106870,12839288,8731015,5684149,3535868,2104605,1211834,955702,955705,1680140,2895228,4056425,2606776,1504340,852749,852748,1504337,2606767,4352495,6928150,10506545,15230779,21194432,28416485,36914279,46792013,58159522,70873621,84430884,98340209,112322810,98340201,98340200,84430882,70873618,70873619,259283597,98340207,112322817,126183069,261635667,139558074,152288313,154071596,164172122,164172121,159492357,147130339,133905627,261443237,159492358,147130350 Dl.O(d2) = 256074346,9362303,6132472,267812969,1333665,1333664,797471,797470,1401149,1334318,1334317,1334323,1334320,1334319,2298504,3836650,3838611,3838610,3836646,2298502,2298503,3836648,6132480,6132482,9362312,13671615,17873724,255674513,13547980,9274824,9274823,13547978,18985435,25595183,33355725,42336996,42336997,42336995,42336994,52724202,42336991,42336990,51058283,40917165,32139792,24557958,24557957,32139790,38278184,38278188,38278187,32139795,24557961,18119884,12848427,8737173,8737172,12848426,18119881,24557953,24924259,24924258,32291780,41101104,51279517,62953956,75934839,89714072,103476129,257713654,52519032,42160798,33200933,33200932,42160796,52519029,64393083,77561240,91492095,85637977,72050359,258687404,72802367,259933631,98807154,112799997,126658789,129212518,140013829,129212520,115284029,101205664,87204933,73582895,73582896,259471883,87204937,73582900,60833486,49431708,39500594,257144136,12080917,12080895,8123810,8123808,12080892,8643999,8644000,12721367,17952074,24342817,31865239,26317093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659572, s2 = 14339366, dlinesl.size( ) = 2 s1 = 11659572, s2 = 14339366, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659572, Dl.E( ) = 58, 3.5e-05 seconds used appending s1 = 7057661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7662949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165352, s2 = 6324009, int(edited[s2]) = 0 s1 = 14165352, s2 = 6324009, d1 = 1, d2 = 36 Dl.O(d1) = 75639922 Dl.O(d2) = 246246427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165352, s2 = 6324009, dlinesl.size( ) = 8 s1 = 4013925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3801144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3801144, s2 = 11173840, int(edited[s2]) = 0 s1 = 3801144, s2 = 11173840, d1 = 39, d2 = 159 Dl.O(d1) = 133946232 Dl.O(d2) = 86100296,260015541,86100288,72501192,59766759,59766760,72501197,86100296,260015541,86100291,72501194,59766759,48383906 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3801424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3801884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4015542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9245199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8467906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3803609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3803609, s2 = 350873, int(edited[s2]) = 0 s1 = 3803609, s2 = 350873, d1 = 2, d2 = 140 Dl.O(d1) = 134009258 Dl.O(d2) = 120311110,271052067,257562052,33480843,25707307,25707308,33480845,33556996,25767464,19127711,19127712,22860444,28682482,28672257,28672256,37194409,47090251,258056047,58468208,48758488,38838737,30255023,256444045,30256221,32251354,38839159,30255535,22860318,16634001,11603210,7724248,4889213,2946298,1708717,971276,547018,547017,971271,1708707,2946281,4889163,7724156,6110175,3823157,3823158,6110181,9327856,11556568,16575585,19672419,255276820,256147370,43380138,53903716,65970029,79333561,93464525,107893705,122310106,136286670,149551734,145116826,260944636,272333877,145116827,260944638,103891085,259100248,76013075,89789753,103891087,118033537,118033538,118033539,131858875,145116823,262418171,157550229,145116829,145116830,261510980,118033540,103891077,89789746,89789747,271608910,259100244,63030350,51349740,41164474,41164475,51349743,63030352,76013073,89789747,260211281,89789756,76013077,63030355,260211279,89789745,89789744,260211277,89789740,89789739,260211277,89789740,258470842,257259182,32349585,24733875,18260887,12957405,8817465,5744360,5744359,8817464,12957404,18260886,16497686,11494648,7645216,7645215,254890435,8759423,12879584,18161749,24610480,24718678,18245556,12942864,8805539,8805538,12942863,10825403,10825404,15642619,18910824,255287254,42260436,42251371,42251370,52636645,64535359,77716542,91643501,105851222,120063558,257827806,259073166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3803609, s2 = 350873, dlinesl.size( ) = 24 s1 = 7094629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7094629, s2 = 12292201, int(edited[s2]) = 0 s1 = 7094629, s2 = 12292201, d1 = 29, d2 = 39 Dl.O(d1) = 262483834 Dl.O(d2) = 147234428,159589562,170914394,181029618,189904180,197556560,203110824,196397473,188546669 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3804062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3804062, s2 = 15165770, int(edited[s2]) = 0 s1 = 3804062, s2 = 15165770, d1 = 10, d2 = 5 Dl.O(d1) = 134019675,147236322 Dl.O(d2) = 59237847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3804062, s2 = 15165770, dlinesl.size( ) = 2 s1 = 3804062, s2 = 15165770, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3804062, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8357756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6979438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6934836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6934836, s2 = 7657696, int(edited[s2]) = 0 s1 = 6934836, s2 = 7657696, d1 = 4, d2 = 7 Dl.O(d1) = 260291635,134054127 Dl.O(d2) = 170953229,262944972,271333724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6934836, s2 = 7657696, dlinesl.size( ) = 2 s1 = 6934836, s2 = 7657696, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6934836, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8599532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8599532, s2 = 6680082, int(edited[s2]) = 0 s1 = 8599532, s2 = 6680082, d1 = 52, d2 = 24 Dl.O(d1) = 262485921,159629889,159629886,147273416,147273417,147273419,159629886,147273413,134054631,134054630,147273412,159629884,147273414,147273415,159629883,262945013 Dl.O(d2) = 258422577,52798288,257252670,19025598,19025597,25642629,33160178,33160179,41759963,257175925,63890133,259006379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8599532, s2 = 6680082, dlinesl.size( ) = 44 s1 = 3804986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2717454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2717454, s2 = 9660361, int(edited[s2]) = 0 s1 = 2717454, s2 = 9660361, d1 = 18, d2 = 16 Dl.O(d1) = 259678069,259051081,77927700,77927699 Dl.O(d2) = 134091531,272708157,262945873,189948838,264367955,213989546,265101357,265482207,265934605,230717414,266177437,266284133,274762263,234411645,233318399,232111500,232111499,232111498,265939914,227572010,225630024,223397350,265110050,209725571,204330997,263744720,181487272,171474090,160259562,262505394,134891685,121090177,106830809,259073710,78479635,65195262,53209539,53209538,53209537,257468014,255287525,9435137,254455129,2317764,1343943,1343944,1344217,1344216,1344235,767232,767227,1344188,2317240,2317243,2364878,2364881,3949359,2365137,1369349,1369352,2365149,2401167,2401089,2401093,4006615,6385179,6029641,3772160,3772155,2400918,2400916,4006258,4006257,6384640,9706269,268527723,32827669,25123398,18571542,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,255043281,21583188,28856060,28856031,21583174,21583173,28856028,37396872,39330193,49256808,47917226,39779265,35368439,35368438,44793120,52519737,42161548,33201665,25454908,25454909,33201667,39778777,31100358,23616485,270317656,72046177,72046176,61277971,61277954,49798620,39778811,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,29437593,29437590,38000444,31101168,31101170,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8224776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8224776, s2 = 6505386, int(edited[s2]) = 0 s1 = 8224776, s2 = 6505386, d1 = 3, d2 = 10 Dl.O(d1) = 191961309 Dl.O(d2) = 173605707,162575851,150447600,150447599,146232920,146232921,146232919,146232918,147323346,147323347,134111286,120279720,106078404,91882602,77957330,64761958,52841471,52841472,52841476,52841474,52841475,64761962,77957332,91882605,106078407,106078406,106078405,260889293,147323351,159671449,159671450,170986561,170986562,181091878,189955841,264067875,209538295,213993713,217651384,220703975,223301666,225547087,227500495,229208589,230718551,229743773,228117189,226263754,224134404,221679110,218819904,215434820,211338662,206326541,200265108,193088164,184725441,175148262,164355466,164355467,272462244,139767560,126392162,112521752,98527026,98527025,84602219,71038175,58322644,46955524,37075372,255331184,15369426,21344210,24371999,22328862,16182685,13353374,11128175,11128174,13364947,12795726,8699491,5662559,3521770,3521773,5662568,4725012,2846901,2846900,4442230,2762942,2762941,4592389,7282093,11000738,11003890,7284324,7284322,8699395,5662509,5662513,5856036,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208933,1208934,254287453,5672304,8713866,5977513,3738075,3738074,4421836,7029243,10646085,13350295,9455578,9455580,13790006,12710408,268120723,19288333,19288332,18078016,12816664,9125455,5971433,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7048224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4019274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4019274, s2 = 8178163, int(edited[s2]) = 0 s1 = 4019274, s2 = 8178163, d1 = 42, d2 = 77 Dl.O(d1) = 147338807 Dl.O(d2) = 32776917,269067305,258049782,71125012,84689308,98613865,84689309,71125014,58407197,47034727,47034728,52006208,41693912,32776919,25079575,25079576,32776921,37145715,28631751,28631750,28631749,255830214,269067305,258049782,58407196,47034727,47034728,52006208,52006192,41693898,32776908,32776907,41693900,38390968,29818408,29818409,24753844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4019274, s2 = 8178163, dlinesl.size( ) = 2 s1 = 4019274, s2 = 8178163, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4019274, Dl.E( ) = 90, 2.5e-05 seconds used appending s1 = 3806780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8327555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13695553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9709262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9709262, s2 = 13750808, int(edited[s2]) = 0 s1 = 9709262, s2 = 13750808, d1 = 17, d2 = 13 Dl.O(d1) = 1362536,2352048,3928774,6274663,9296690,254076558,25639422,21893570,15815793,10960441,7254869,4575412,4575413,7254872,10960444,15815796,21893577,29206990,37768562,254532058,43879812,43879813,53389788,50180177,50180179,60483744,49080195,49080194,50338989,48501028,38586177,30013823,256116784,48501029,42924936,42924937,50180202,255469284,26620532,26620533,33879178,33878215,33878216,42923774,43879817,44513467,44513468,42923780,33878223,26055236,19374395,13858758,9507104,9507103,13858755,19374389,26055230,256687545,53389791,258455333,92761063,107102303,260924827,261490013,160679152,171864742,181828220,263753987,204524140,209878761,214268197,217872132,265312801,265493255,227608578,229301691,230799645,232135820,232243144,230923264,229450181,227791687,225902135,223735942,264967742,218318079,214846764,263865558,199225126,191848647,262185776,162421778,150286062,137246218,123516119,109324811,95069759,81010514,256877782,44345779,34968290,26889318,26889321,34968296,34633145,26642528,19829596,255458260,22244177,25028649,32714438,33995042,33995041,30518488,23102236,16845468,11780600,11780601,16845470,23102241,255081976,29533826,29533825,37064116,28562588,21335977,21335978,16062969,16062970,22190787,29533835,255081986,32388803,24767531,23324358,23324357,30745493,33142160,33142161,36925253,28426612,21203024,21203023,28426610,36925249,257423433,70884846,84442108,98351927,112335044,126195627,139570754,142221533,128869596,114967332,100913842,86932319,73322503,60578805,60578806,53718298,53718297,65775675,79130913,93246580,107649450,122023934,135951476,149175432,161461693,164342723,152474030,139751951,126375849,261426938,98509119,84583909,71019646,58304423,46938410,269310739,28559069,21333055,15360174,10612105,7002475,4401134,2637598,2637599,4401138,7002485,10612112,13730747,10608705,10608704,7016293,4411739,4411738,7016287,7043562,7043563,8471928,8471609,8471611,8755486,12874400,18155390,24603345,257132845,62743981,75691394,257865587,43403588,257270599,65530202,65530199,53504650,53504648,43862332,43862333,54605261,66863374,80292926,93506352,79369416,270599981,107943597,122369889,126281746,114863956,100812281,86830955,73218145,73218147,86830957,78866332,65530214,60471483,49068032,39137716,30538655,23119755,23119756,256463913,49068037,60471496,67811652,81278929,89946427,76139962,269773848,73218151,60471504,60471503,73218148,86830959,91379559,100812279,114863952,100949499,100949498,115003468,100949497,257859022,60608896,60608897,269574650,100949501,115003472,114863966,114863965,122205153,107800144,93378163,93378162,107800142,100812290,86830964,73218154,73218152,78381450,92418738,106724323,106724324,106724325,120976506,270801096,133724308,128761467,119845375,259653577,77454581,64298215,64298214,77454577,91379554,77454590,77454591,91379564,91379562,91379561,105604293,119845360,133724291,146987279,142117104,128761453,128761454,142117107,261970753,159371003,169149652,157707335,145295625,132057703,132057705,145295628,157707319,261384435,118236717,104076600,104076599,104076614,89946399,76139939,76139940,259602705,76139967,63133828,51435876,256596454,51435861,51435862,63133806,269945894,76139914,89946371,89946403,89946402,104076617,104076595,89946374,76139917,63133788,51435851,51435852,63133789,258349158,84891015,76139929,76139930,84891032,84891031,74867622,71316905,258687753,84891016,71316917,58583495,58583490,47192222,37283661,28749373,28749374,37283663,37283670,47192233,269785171,84891019,98818257,112809460,112809458,259314569,71316908,257452259,37283667,256872393,47192218,37283659,37283658,47192216,58583481,71316893,84890999,259933937,261568273,137604857,150601539,137604862,123926787,123926788,123926798,109791029,109791028,98270021,98270022,109791026,106822248,92510590,78470941,78470940,79315578,93446770,98270023,85449496,71864466,59126033,47727658,47727657,59126031,71864469,85449500,99390312,113391178,113391177,113391176,127249831,129720109,115821157,101775113,87802756,84583907,258392168,46938409,270805489,98509118,112504495,126375847,259342784,115730779,101685975,87712148,74105993,61322893,255867346,39815931,255432142,61322892,74105992,65952716,54692884,54692885,65952714,65952715,257260672,93447956,107876247,122290704,136265578,149529542,161834363,173000713,182900865,181289589,262952585,160016225,147753163,134622748 Dl.O(d2) = 160016219,171252389,161264444,148959497,135720710,121780553,260013746,92985640,78874099,78874100,92985641,103850479,103850480,117995884,103850482,89746212,75966774,62984080,51305936,51305935,49442541,39511101,39511102,49442542,60844413,53514939,43036740,33979555,26140251,26140252,33979559,42188426,33228065,25479532,18877635,13452577,9199804,6023304,3768204,3768205,6023307,267831444,7100806,10747728,15540418,18877621,18877622,15540429,15540430,21561572,28832178,37371765,37371768,28832181,21561578,19284637,19284638,25948745,25948723,25948724,33756568,33756581,42787492,37371774,28832187,21561581,15540437,10747740,10747741,15540439,21561583,28832190,37371777,33756589,33756590,42787527,53238813,53238783,53238784,46345268,36488063,36488064,46345270,57693901,68012705,70387674,57693896,57693897,70387675,83914125,73245313,73245312,64240397,52384347,42040324,42040323,52384345,47288974,47288975,58680180,55625334,52384337,52384338,64240389,58680177,58680178,71414010,74077360,74077361,73245300,60498373,49094826,39164843,30567142,30567143,39164845,49094829,47288973,37379472,28839263,28839264,37379474,47288977,58680182,58680176,47288970,47288969,52384312,42040290,33092210,25359025,254647244,42040287,52384308,256120998,37541272,28995985,28995984,37541270,47449193,58835345,50535705,40500493,36807843,28311062,21100948,21100947,28311060,36807838,46691623,40500499,31805227,31805226,40500497,50535710,42040298,33092215,25359029,18776600,18776599,25359028,31805223,40500490,46691621,58064439,49727749,49727750,49325023,39396793,39396792,49325021,60727170,73475298,87093048,92582067,88457396,74824013,62027338,50535708,50535709,62027340,74824014,87042126,73424105,60676223,51305940,41123312,32310360,24697099,18227759,18227758,24697097,32310356,41123304,51305938,49442541,49442540,49415138,39511103,30903004,30903003,39511102,257617963,73593980,87216081,101216994,115295366,129223924,142595237,155233021,166918887,177458437,180725822,180725821,189621611,273727650,186766517,177458470,170596488,159261351,146890618,146890617,159261350,170596484,180725809,170596491,262462140,146890620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9709262, s2 = 13750808, dlinesl.size( ) = 2 s1 = 9709262, s2 = 13750808, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9709262, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 8254725, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13419175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13689085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355520, s2 = 11323365, int(edited[s2]) = 0 s1 = 10355520, s2 = 11323365, d1 = 40, d2 = 38 Dl.O(d1) = 1326552,757205,430379,242956,134314,73018,73024,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39737,39735,73441,135090,244498,432842,753558,753562,1320918,267812299,6097824,6090832,6090831,3832571,2296267,2296266,3832568,6114804,3825925,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3978706,6341754,6114910,3825992,254094420,6076501,6114900,9335449,13633230,270017469,120831329,134627943,147758274,263736951,204208166,209620212,214061180,264644492,222295680,219520326,216235073,212272353,264535600,201541047,263589614,262767866,160108009,261235458,120931171,134729049 Dl.O(d2) = 183054566,173203499,162103118,149890606,149890607,136748484,122916361,259444048,149890607,136748483,122916361,258196618,80306075,66876315,54618345,257286150,54618378,54618392,61427643,61427644,74206136,257884494,87809398,101781773,115827943,129727058,125722689,125722687,126873691,258437234,85108703,71537262,256153766,37513156,255047872,48011139,43054917,33996119,33996120,43054919,37071097,33996146,33996147,43054944,47669178,47669177,47358775,268075186,38068813,37433723,28892256,21616035,21616034,28892255,30710810,23294236,17034595,11949156,11949155,17034594,23294233,30710803,38383465,34119120,26254336,26254338,30710789,30710884,30710883,39308623,49235249,39308516,268462574,23294209,26254418,26254419,34119230,43206448,38554892,34119044,30890443,23457713,23457714,30890445,30710830,23294251,23294250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355520, s2 = 11323365, dlinesl.size( ) = 36 s1 = 9456436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7186737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7186737, s2 = 9215037, int(edited[s2]) = 0 s1 = 7186737, s2 = 9215037, d1 = 49, d2 = 0 Dl.O(d1) = 263740366 Dl.O(d2) = 120973809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7186737, s2 = 9215037, dlinesl.size( ) = 8 s1 = 13479947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13479947, s2 = 8494157, int(edited[s2]) = 0 s1 = 13479947, s2 = 8494157, d1 = 52, d2 = 43 Dl.O(d1) = 78394445,92431369,259402114,134786976,147905557,160154513,171374108,181395903,190198394,190198402,190198403,197799040,204275194,204275190,204275189,204275192,197799039,190198400,181395920,261744826,160154519,171374122,160154526,147905566,134786984,120990317,106737350,258152992,65111499,78394446,92431371,106737348,120990314,262005519,171374112,181395907,171374131,160154525,147905565,134786984,120990317,106737350,259402116,271813052,261744824,106737345,261472955,261744822,181395896,190198391,197799031,204275183,209678382,214111660 Dl.O(d2) = 21932437,29253364,28247812,28247811,33309743,39385358,49313032,60714996,58083943,50503525,50503524,267962070,39883651,42305915,33325338,25564308,25564307,31193690,23704583,17381815,12248556,12248557,17381818,23704589,31193694,29255881,21935091,16832999,16832998,23086150,23737280,269321347,15629632,15629631,17061525,11969902,254782338,15112666,10424103,8033449,5122963,5122965,8033452,11984030,12008499,16284178,11325471,11325470,16284176,11969798,8013537,8013538,8031242,11325813,11325812,11983772,8032982,5128408,3117061,1821634,1821635,3117065,5128418,8038220,8023229,5112211,4757659,4757661,7524069,8037951,5160142,3143409,3143410,5160145,8051921,5167807,3150018,1842918,1842920,1843480,3126590,3104585,1814029,1814028,3104583,267901991,5157571,3141068,1836944,1048258,254178315,3141069,5110406,3103080,1813079,1035336,1035337,1813085,1842766,3149761,5167540,8045167,8037294,5127457,5127456,3139804,3139803,3117830,2866568,2866566,3123450,254568141,8023338,11975124,11975123,12000799,12000800,12004632,8059793,8059794,8053631,8050435,5141076,5141075,3144250,3144249,3144247,3123251,1831008,1044966,588174,328316,328318,588186,1044994,1819941,2868307,3107575,3107576,254383849,4755405,4755406,3138819,1835407,1047409,1047408,1835404,3138811,5155025,3191194,1867686,1867685,3191192,5125732,5125730,8035884,8059139,5151121,3135382,1833171,1046194,1046195,1833174,3135390,3117008,1821603,1821604,1817101,1037543,1037546,1817107,3109627,3150052,1842933,1051678,1051677,1838502,1049196,1049198,1821838,3117356,3105457,1814582,1036163,583753,583752,583739,583742,1036128,1814493,1822043,1866544,1815341,1036584,583953,326344,180148,99037,99036,180144,326335,583934,1036513,1036512,1815224,1847087,1054066,1054067,1847091,3156136,2819505,1836096,1836095,1820982,1820983,3115958,4755388,4755385,7521278,11325074,8069250,5163684,5163683,7527415,5226613,5137168,3191719,3191718,5230059,5162454,3145458,3145457,5162451,4679805,2819458,1635707,930131,254165675,2819254,1822413,1822412,1847609,3156820,2867914,1664497,1664498,2867917,4758233,7524701,5105866,5105867,5157153,3190730,1867365,1867367,1845446,1845445,3153817,5160171,5107915,5107914,8019228,8024400,8034421,254385729,1845102,1845101,2868475,1664815,947118,947120,1664820,2868486,3129576,1829524,1044186,1044185,1811689,1034631,582966,582963,1034622,1811670,3100749,3098241,1810220,1033887,582611,325710,179860,98901,54675,54676,98905,179867,325736,582665,1033996,1051330,1051331,997568,561846,561845,997565,1043140,587249,327876,327875,587247,1043137,1827581,3126328,5140087,5227308,8066142,8066141,11330178,7964573,7964574,5158635,5158632,5173605,8018776,8018780,5177755,5177757,8000445,8000444,8156562,7975413,7975411,8019544,7975982,5075617,3077916,3077918,2871062,2871063,2866894,2866895,4756503,7522358,8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033603,8062036,8062035,12006105,17007899,11921454,8059637,5151764,5151765,8059639,12004535,15573109,11973674,9857536,9857537,14347417,17101529,17004854,17004855,21272891,15311745,15311744,17106171,17066630,17065699,11975002,11975001,12134164,8164264,8164265,12006071,254161474,23297774,254799658,254799660,26045042,26045043,23392271,17120406,17120404,16913927,11837154,11837152,12029713,8087393,8087390,12029706,8863348,5777547,5777545,4647430,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182871,3162140,3162141,5182903,8089780,12033522,14085928,19651872,19663563,19663566,24106134,24106133,31608536,30818426,30818427,30599182,254364194,16915509,17121910,12032368,8089072,5182558,5182559,8089077,12032377,17121936,21467852,15466356,15466355,16564347,16564344,18490271,13136342,8952939,5843623,5843625,8952945,13136352,18490291,23179319,17418700,17418699,19655189,14088504,14088503,19655186,26389532,21468671,15467043,15467042,255837771,271822418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13479947, s2 = 8494157, dlinesl.size( ) = 26 s1 = 9034059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9675815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9675815, s2 = 14095134, int(edited[s2]) = 0 s1 = 9675815, s2 = 14095134, d1 = 1, d2 = 1 Dl.O(d1) = 126296246,139667337,128717435,114817495,100765444,86784679,73172132,60425351,49021636,39092344,39092343,49021634,49021631,39092340,39092339,49021628,60425342,73172127,86320321,100282425,99570191,85619670,85619671,86877482,73265393,73265392,86877486,100858111,114908703,127462769,127462776,113586675,258738246,85619674,99570199,113586679,127462772,127462773,140822896,140822886,127462757,127462758,127462794,113586688,113586689,127462791,127462790,140822907,153209528,140527121,140527120,127462765,113586665,113586666,127462768,127462778,127462779,140822899,153503788,153503793,155240332,166925309,166925360,155240398,142603323,142603324,155240400,155240316,155240315,155240336,142603275,261808227,166925311,166925317,166925318,155240375,142603301,142603300,155240373,155240300,142603251,129232667,115304517,101226310,101226311,115304539,115304541,101226312,101226307,101226306,115304535,115304548,101226319,101226318,260090301,129232677,115304526,101226301,270872692,73603165,87225304,101226305,115304533,115304546,115304562,115304561,129232722,142603316,142603305,142603306,155240289,155240391,149978606,136844671,136844670,149978605,142603259,129232671,129232670,142603258,155240311,166925298,176932637,166336211,154618447,141976446,128616725,114719964,100673588,100673589,270819318,73096977,60358820,48963727,39042484,30453095,30453094,39042481,48963722,60358815,73096967,86700366,86700371,73096969,60358816,60358817,73096971,86700373,86700372,100673566,260653685,140241465,152931221,164760722,175511460,177753051,167260356,155631145,143081765,143081766,155631146,167260357,165900795,154136821,147923091,134804309,134804310,147923093,261747860,147923087,147923086,147923085,134804304,121007661,121007658,106754758,106754759,121007660,134804302,126398112,126398111,126398108,259625236,84609450,84609449,98533928,98533914,98533915,84609445,71045702,58330278,46962818,46962819,58330279,71045704,84609451,98533930,87831924,74226970,74226971,87831923,259501099,74226967,61447583,61447582,49969801,39953146,31278228,31278227,39953143,256516267,17460745,12309479,12309480,8641997,5620477,5364821,3298028,3298029,5326856,3274206,1925847,1100402,1100404,1108306,1108307,1940279,3298955,3274329,1925927,1100447,1100448,1925931,3274337,5327050,5330821,3276722,1927362,1927364,3276724,3298378,5365422,8263352,8267228,12241819,254749076,17375338,12243288,12243287,17373200,12581631,12581632,17461740,12310188,8314761,8314763,12310189,255560483,17414533,12273234,8288045,8288044,10822922,12243783,8268955,5335504,5335503,8268952,8262512,8262511,7107248,4474607,4474606,5366405,8316551,12245591,12244940,8270100,8270101,12244905,17376019,12244063,12244064,12312425,12312426,12241891,8267313,5334275,5334277,8267317,5336033,3280099,3280098,5336030,3286032,1932429,1932426,3286010,3286090,5347014,8288535,8091942,8091943,11231079,16164033,11233176,7454376,7454375,8582211,8528105,8528104,8288818,5347215,5347218,8288826,12273995,12585385,8538770,5565131,3448762,2042492,2042490,3448753,5565117,4884693,4884691,7717643,11593943,13439339,9188725,6014336,3761700,2253476,1307826,1307827,2253480,3761707,6014350,9188734,8568683,5564330,3447980,3447979,5507123,5507124,8506632,8519000,8518999,12545928,8613749,5599052,3475500,3415398,3415397,3439226,2034905,2034904,3439224,3413850,3413852,5527844,8529764,8534343,8612127,5597492,5597493,8528090,5526496,3412795,3412793,5526495,8528089,8492850,8486346,5487192,3377967,3377966,5487190,8486345,8568302,8572450,5568216,3452126,3452124,5568210,5495635,3385648,1994200,1139624,639349,354988,354990,639360,1139655,1993511,1139217,639144,354891,194533,194534,354877,354837,354839,639032,1139018,1993152,254410927,5559031,8506199,5526560,5526559,5575339,5575340,8581021,8492888,5553110,5553109,5556515,5537037,3422544,2021670,1156851,254191055,3422546,5492586,3382908,2023379,2023382,3424871,2047605,1174154,1174156,2047586,3386120,3385542,1994127,1994129,2061362,3387779,5484653,3375594,1986748,1135081,636902,636900,1135073,1164531,653511,653514,653505,362493,198388,108119,108123,198408,362528,450721,253915,253913,450734,795341,1397695,2414605,4029476,3414284,2015210,2015209,3402482,2006392,2006393,3402486,5515371,5512118,3399480,3378853,3378854,3471022,3458588,2050452,1176008,660136,654652,363018,363020,654634,1166417,1998289,1998110,1998111,3390830,2036105,2036106,3440685,3442888,2047818,1174287,1174286,2047812,2047901,1174339,659238,365410,199850,108807,59678,59676,108799,199840,365392,659197,1174266,2047779,2048555,1174768,659484,659483,1174761,2011798,1174787,659491,659489,1174782,2048580,3454930,3454927,2941165,2941166,4881181,7712541,5329080,3451011,3451012,4881187,5567043,3451008,3379606,3379604,3401860,3401861,3458813,5525644,5525645,8526985,12572857,17766920,24130301,31637382,40326762,40326760,40326759,50353720,61837743,61837744,61837745,74629761,88259796,102257944,102257943,88259795,88259794,102257941,116352408,261313681,262167718,126398064,126398065,139772763,126398054,126398055,126398061,126398057,126398056,139772765,126398063,112528170,98533885,84609428,84609427,259916532,84609430,84609426,71045690,270288703,71045685,58330262,46962804,37081843,28577655,21348556,21348557,28577656,37069195,46948661,37069182,28567070,21339798,15365659,15365660,21339800,28567074,36602381,28128583,20950661,20950662,28079481,36547702,37069205,37069187,28567072,28567071,37069185,46948662,58315514,71031415,71031416,84595829,98520957,112515992,126386861,112515995,98520959,98520960,271768499,139762470,152483408,152483409,164351138,152483407,152483406,164351137,152483410,152483411,164351141,175144167,184721712,193084888,200262205,200262201,193084886,193084887,200262202,202603705,195802375,263522066,186429375,186429374,177074192,166492708,154785859,261238380,114898627,114898626,128795926,128795920,114898616,100847738,100847737,114898629,128795932,128795929,128795930,142151210,154785861,142151211,142151200,128795921,114898617,114898615,100847723,100847722,114898613,104681325,104681324,118859101,118859102,132673613,142151205,134125674,120294549,256393944,77974689,77974688 Dl.O(d2) = 126296246,139667337,128717435,114817495,100765444,86784679,73172132,60425351,49021636,39092344,39092343,49021634,49021631,39092340,39092339,49021628,60425342,73172127,86320321,100282425,99570191,85619670,85619671,86877482,73265393,73265392,86877486,100858111,114908703,127462769,127462776,113586675,258738246,85619674,99570199,113586679,127462772,127462773,140822896,140822886,127462757,127462758,127462794,113586688,113586689,127462791,127462790,140822907,153209528,140527121,140527120,127462765,113586665,113586666,127462768,127462778,127462779,140822899,153503788,153503793,155240332,166925309,166925360,155240398,142603323,142603324,155240400,155240316,155240315,155240336,142603275,261808227,166925311,166925317,166925318,155240375,142603301,142603300,155240373,155240300,142603251,129232667,115304517,101226310,101226311,115304539,115304541,101226312,101226307,101226306,115304535,115304548,101226319,101226318,260090301,129232677,115304526,101226301,270872692,73603165,87225304,101226305,115304533,115304546,115304562,115304561,129232722,142603316,142603305,142603306,155240289,155240391,149978606,136844671,136844670,149978605,142603259,129232671,129232670,142603258,155240311,166925298,176932637,166336211,154618447,141976446,128616725,114719964,100673588,100673589,270819318,73096977,60358820,48963727,39042484,30453095,30453094,39042481,48963722,60358815,73096967,86700366,86700371,73096969,60358816,60358817,73096971,86700373,86700372,100673566,260653685,140241465,152931221,164760722,175511460,177753051,167260356,155631145,143081765,143081766,155631146,167260357,165900795,154136821,147923091,134804309,134804310,147923093,261747860,147923087,147923086,147923085,134804304,121007661,121007658,106754758,106754759,121007660,134804302,126398112,126398111,126398108,259625236,84609450,84609449,98533928,98533914,98533915,84609445,71045702,58330278,46962818,46962819,58330279,71045704,84609451,98533930,87831924,74226970,74226971,87831923,259501099,74226967,61447583,61447582,49969801,39953146,31278228,31278227,39953143,256516267,17460745,12309479,12309480,8641997,5620477,5364821,3298028,3298029,5326856,3274206,1925847,1100402,1100404,1108306,1108307,1940279,3298955,3274329,1925927,1100447,1100448,1925931,3274337,5327050,5330821,3276722,1927362,1927364,3276724,3298378,5365422,8263352,8267228,12241819,254749076,17375338,12243288,12243287,17373200,12581631,12581632,17461740,12310188,8314761,8314763,12310189,255560483,17414533,12273234,8288045,8288044,10822922,12243783,8268955,5335504,5335503,8268952,8262512,8262511,7107248,4474607,4474606,5366405,8316551,12245591,12244940,8270100,8270101,12244905,17376019,12244063,12244064,12312425,12312426,12241891,8267313,5334275,5334277,8267317,5336033,3280099,3280098,5336030,3286032,1932429,1932426,3286010,3286090,5347014,8288535,8091942,8091943,11231079,16164033,11233176,7454376,7454375,8582211,8528105,8528104,8288818,5347215,5347218,8288826,12273995,12585385,8538770,5565131,3448762,2042492,2042490,3448753,5565117,4884693,4884691,7717643,11593943,13439339,9188725,6014336,3761700,2253476,1307826,1307827,2253480,3761707,6014350,9188734,8568683,5564330,3447980,3447979,5507123,5507124,8506632,8519000,8518999,12545928,8613749,5599052,3475500,3415398,3415397,3439226,2034905,2034904,3439224,3413850,3413852,5527844,8529764,8534343,8612127,5597492,5597493,8528090,5526496,3412795,3412793,5526495,8528089,8492850,8486346,5487192,3377967,3377966,5487190,8486345,8568302,8572450,5568216,3452126,3452124,5568210,5495635,3385648,1994200,1139624,639349,354988,354990,639360,1139655,1993511,1139217,639144,354891,194533,194534,354877,354837,354839,639032,1139018,1993152,254410927,5559031,8506199,5526560,5526559,5575339,5575340,8581021,8492888,5553110,5553109,5556515,5537037,3422544,2021670,1156851,254191055,3422546,5492586,3382908,2023379,2023382,3424871,2047605,1174154,1174156,2047586,3386120,3385542,1994127,1994129,2061362,3387779,5484653,3375594,1986748,1135081,636902,636900,1135073,1164531,653511,653514,653505,362493,198388,108119,108123,198408,362528,450721,253915,253913,450734,795341,1397695,2414605,4029476,3414284,2015210,2015209,3402482,2006392,2006393,3402486,5515371,5512118,3399480,3378853,3378854,3471022,3458588,2050452,1176008,660136,654652,363018,363020,654634,1166417,1998289,1998110,1998111,3390830,2036105,2036106,3440685,3442888,2047818,1174287,1174286,2047812,2047901,1174339,659238,365410,199850,108807,59678,59676,108799,199840,365392,659197,1174266,2047779,2048555,1174768,659484,659483,1174761,2011798,1174787,659491,659489,1174782,2048580,3454930,3454927,2941165,2941166,4881181,7712541,5329080,3451011,3451012,4881187,5567043,3451008,3379606,3379604,3401860,3401861,3458813,5525644,5525645,8526985,12572857,17766920,24130301,31637382,40326762,40326760,40326759,50353720,61837743,61837744,61837745,74629761,88259796,102257944,102257943,88259795,88259794,102257941,116352408,261313681,262167718,126398064,126398065,139772763,126398054,126398055,126398061,126398057,126398056,139772765,126398063,112528170,98533885,84609428,84609427,259916532,84609430,84609426,71045690,270288703,71045685,58330262,46962804,37081843,28577655,21348556,21348557,28577656,37069195,46948661,37069182,28567070,21339798,15365659,15365660,21339800,28567074,36602381,28128583,20950661,20950662,28079481,36547702,37069205,37069187,28567072,28567071,37069185,46948662,58315514,71031415,71031416,84595829,98520957,112515992,126386861,112515995,98520959,98520960,271768499,139762470,152483408,152483409,164351138,152483407,152483406,164351137,152483410,152483411,164351141,175144167,184721712,193084888,200262205,200262201,193084886,193084887,200262202,202603705,195802375,263522066,186429375,186429374,177074192,166492708,154785859,261238380,114898627,114898626,128795926,128795920,114898616,100847738,100847737,114898629,128795932,128795929,128795930,142151210,154785861,142151211,142151200,128795921,114898617,114898615,100847723,100847722,114898613,104681325,104681324,118859101,118859102,132673613,142151205,134125674,120294549,256393944,77974689,77974688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9675815, s2 = 14095134, dlinesl.size( ) = 2 s1 = 9675815, s2 = 14095134, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9675815, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9118929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3813286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9109828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4025611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8478069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10231744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6936762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3815371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3815371, s2 = 10343787, int(edited[s2]) = 0 s1 = 3815371, s2 = 10343787, d1 = 29, d2 = 88 Dl.O(d1) = 134972805,148095280 Dl.O(d2) = 255656104,255216483,20108310,26998693,26998705,20108327,14418940,9917385,6517644,4083778,4083779,6517649,9612255,9919638,9919637,6537823,6537822,4096161,4096163,6537860,9402617,13368129,13368127,13349631,255254515,9995568,268177645,256758697,257924123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3815371, s2 = 10343787, dlinesl.size( ) = 36 s1 = 3474773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8480971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4027401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4027401, s2 = 11659593, int(edited[s2]) = 0 s1 = 4027401, s2 = 11659593, d1 = 4, d2 = 16 Dl.O(d1) = 148101696 Dl.O(d2) = 4671763,4671762,7395031,11149489,16057605,11149484,7395028,7395029,11149486,16057607,11149508,7395041,4671767,2814602,1632907,254123573,523387,254165417,2814609,4671778,7395060,11149530,11149523,11149522,16057636,11149632,7395135,7395134,11149630,11149506,11149505,11149367,7394951,254767207,11149502,7395037,254767209,4671720,7394955,7395122,11149619,11149627,11149628,11149552,11149551,16057681,16057623,11149503,11149504,11149468,254767225,4671790,2814615,1632913,1632914,254525033,7394971,11149383,7395298,254767251,255077869,11149445,11149379,11149380,16057490,11149376,11149377,11149371,7394957,4671721,254235597,928612,928611,1632941,254350919,4671888,4671887,7394961,7394960,7394965,4671727,4671728,7394967,4671933,4671932,4671885,2814670,1632938,1632937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4027401, s2 = 11659593, dlinesl.size( ) = 2 s1 = 4027401, s2 = 11659593, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4027401, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 9110938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10197465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4028028, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9671788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9671788, s2 = 14034505, int(edited[s2]) = 0 s1 = 9671788, s2 = 14034505, d1 = 2, d2 = 29 Dl.O(d1) = 18108757,24543026,18699122,13306140,9087758,9087757,13306136 Dl.O(d2) = 91690108,105897202,105897203,98337860,84428260,70870933,58156937,58156936,58156938,58156935,46789539,36911925,28414324,28414323,28414325,254851340,10505336,6927193,4351753,4351755,4571992,4571994,2850601,2850603,254185922,8015064,8015063,5121650,3111642,1818319,1818318,3111640,254381971,8032281,11983189,8073654,5168092,5168091,5134561,5134562,8044525,5146347,3131198,3131197,4136783,267797215,1867745,254389823,3131201,1830469,1044700,1044699,1830468,3131199,5108672,8019986,8026901,5121648,3158972,1849154,1055295,593346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9671788, s2 = 14034505, dlinesl.size( ) = 2 s1 = 9671788, s2 = 14034505, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9671788, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 8632575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8632364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8632364, s2 = 11044190, int(edited[s2]) = 0 s1 = 8632364, s2 = 11044190, d1 = 66, d2 = 62 Dl.O(d1) = 28629459,21390976,15406423,10648877,7031199,254334025,2653964,4423189,7031200,10648878,15406426,21390980,21390981,28629460,37142978,47031552,257440749,37125669,37125668,47012737,58383977,258051155,258675511,84685721,84663961,84663960,84685737,84685728,84685729,98610543,98587565,84663963,84663964,84685735,84685736,98610549,112605750 Dl.O(d2) = 23022823,254693598,18136975,12861129,12861130,8746374,5694331,3542793,2109388,2109387,3542787,5694316,8746343,12861170,18137008,18137009,24554302,255752208,24579874,23022822,23022821,268176778,40651490,40651491,50716473,50716471,42130150,33173791,25431163,25431162,33173788,25431164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8632364, s2 = 11044190, dlinesl.size( ) = 12 s1 = 7720050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3817894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8479039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6813925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6813925, s2 = 8637033, int(edited[s2]) = 0 s1 = 6813925, s2 = 8637033, d1 = 53, d2 = 42 Dl.O(d1) = 258787166 Dl.O(d2) = 173742819,162740799,260253570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6813925, s2 = 8637033, dlinesl.size( ) = 26 s1 = 3818800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9681938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9681938, s2 = 16024674, int(edited[s2]) = 0 s1 = 9681938, s2 = 16024674, d1 = 16, d2 = 11 Dl.O(d1) = 40934796,51076518,53208154,42758581,33728875,25922041,19263051,13767451,13767452,9437155,6185605,3870971,2318295,1344118,1344115,1344229,1344231,1344235,1344237,1344235,1344237,1344235,1344237,2318580,2341497,2341322,2341325,3894042,3912499,6245290,6245291,9521993,13879682,255227282,25076345,256649086,9434021,6182883,3869184,2317525,1343884,1343888,1344214,1344216,2318580,2341497,2341316,2341319,3910348,6246345,9523302,13881126,19404331,20900167,14995764,11270973,7481913,4728307,2848754,1652835,1652837,2848763,4728320,6781960,4251301,4251303,6781965,10310878,14978496,13275267,9060044,9060043,8600918,6821502,4279232,4279235,6821509,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229525,3723668,3709888,3709889,2543373,1465293,1465294,2543378,4254458,6786563,5584333,5584332,5945336,5945335,4291659,2565869,1477465,835318,470807,264579,146458,146457,264577,470802,835305,1477418,2565774,4291503,6825164,6772785,6772786,9097294,10361669,10282328,10282329,9070671,8595843,5585254,4291775,4291777,6840022,10379930,10300378,10300380,10021161,6586377,6586376,9064260,13279933,18671830,25241569,24891750,24891749,32537003,31566449,31566450,31566439,24060909,24060908,21159856,15203763,15203762,17115439,17115440,15203708,15203709,17113382,21159775,15203700,10486967,10486966,8085309,8085307,12026293,16197252,16197253,15203870,15203868,255106016,33116802,256425478,64264731,77414632,66961522,54702240,268814293,268331055,9786443,6434023,6434028,9786455,14236143,14245834,10996201,10996202,13577845,9296830,9296828,12086708,8127988,8127987,255153475,255989015,39512691,38788941,30204195,22812858,16594811,268231166,24313029,24313030 Dl.O(d2) = 262036109,172435182,182390989,191096411,198588247,204936037,210197008,214498693,218034705,221000559,223536970,225735350,227651864,229331375,230820564,232151769,233352913,234441709,235371007,234374205,265973554,232066799,230722245,229213137,227505930,225553415,223308818,220711642,217659683,214002380,263846134,204116528,263485662,189965120,181101423,170996184,159681106,147332949,134120819,120289686,106089313,91894381,91894382,106089315,112417687,112417686,126280729,129001935,142377583,155025192,166724486,177279941,177279940,177279941,177279939,177279937,186604143,263368512,190098829,181281692,171243611,160006812,147743126,134612880,120816815,106569447,92272035,257821356,64971832,52996942,42556942,33540504,255688424,52996941,64971827,268759416,42556938,33540500,25751725,25751726,33540501,42556939,256671706,59747867,268974180,29906018,38463296,48364886,47846696,37926887,37926886,47846694,59243445,71980778,85567968,99514849,113526310,127396327,140752148,153432615,165233303,175937494,185422810,193699915,200796639,206785741,211734302,215777858,219121774,221945006,224369348,226475199,228309455,229919179,231347621,232627343,233783608,234836009,235060477,265643400,231634552,230238217,228666571,226879627,224829425,222467899,219717503,216460101,212532741,207728833,201902736,194978779,186888391,260284504,155461244,269999536,115675263,101634123,87666583,256135458,61283461,49805185,39785859,31106568,23621331,17401296,17401294,12370004,12370007,12405478,12369854,12369857,12380945,12380944,17551335,12381440,12381441,17551899,21266734,21266733,28483551,23895482,23326470,23326471,17560420,17560419,17157664,17157662,23433435,254829118,17545534,12375999,8363028,8363029,6768701,6768696,7269613,7269610,10982592,10982631,15847388,15847008,12376408,8386874,8386875,8456206,12485195,17401752,17401753,15140187,10442204,10442205,15140189,21077498,17581193,12409145,8386853,8386854,12409147,17581197,17471797,17471798,23805060,29696888,255985928,59558659,257614168,258844380,127728081,127728079,127728078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9681938, s2 = 16024674, dlinesl.size( ) = 2 s1 = 9681938, s2 = 16024674, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9681938, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 14165330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165330, s2 = 15077876, int(edited[s2]) = 0 s1 = 14165330, s2 = 15077876, d1 = 1, d2 = 1 Dl.O(d1) = 31732243,24223901,17852314,12642685,268119075,31732235,40084208,40084209,50104824,61584758,53547809,43068815,255678746,19468385,13933080,13933081,19468387,15457225,15457224,21456430,21455769,255836853,37241592,29179693,256328343,21455942,28710757,28710758,268293566,28572451,28572450,37075558,46955696,58322822,64837003,78034408,91961686,106159929,120362577,271529688,123013711,136844551,127837441,113958724,99935850,98559699,98559700,112553555,272077665,126423159,112553557,98559702,84636165,71073250,58356970,46987284,37102869,28595217,21362726,15383977,15383976,21362724,28595213,37102863,46987274,58356960,70864052,58149871,58149870,70864050,59263242,59263243,71999415,85586129,80380995,257889743,34674783,34674782,43949422,54683842,54683844,256727081,26673858,26673857,34667034,34667030,34667031,257290801,34667029,26673854,19869818,14236120,9786443,254966569,19869816,25702476,19076186,19076187,21486393,255839325,255153475,256491579,39512691,256983345,30204195,256439375,30204095,29654115,29654116,38220137,37640416,29089988,21792009,21792010,17927699,17927698,24313030,31831031,255926976,62057652,74856625,88493830,258366714,42999811,33944127,26108563,26108564,33944128,42999809,53476471,65498565,78829961,92936414,107341001,121722158,135666434,262036109,172435181,182390989,191096410,198588247,204936036,210197008,214498694,218034708,221000564,221000565,221000563,218034706,218034705,221000560,223536972,225735348,223536969,223536970,225735349,227651864,229331374,230820564,232151770,233352913,234441708,235371008,234374205,233278047,232066799,230722246,229213137,227505931,225553415,223308819,220711642,217659684,214002380,209547088,204116528,197608020,189965120,181101424,170996184,159681105,147332949,134120818,120289686,106089314,106089315,112417687,112417686,126280729,129001935,142377582,155025192,166724485,177279938,186604143,273326640,190098829,181281691,171243611,160006811,147743126,134612881,120816815,106569448,92272035,78245116,64971832,256671710,42556942,33540504,25751728,19113451,19113450,25751726,33540502,42556939,52996938 Dl.O(d2) = 31732243,24223901,17852314,12642685,268119075,31732235,40084208,40084209,50104824,61584758,53547809,43068815,255678746,19468385,13933080,13933081,19468387,15457225,15457224,21456430,21455769,255836853,37241592,29179693,256328343,21455942,28710757,28710758,268293566,28572451,28572450,37075558,46955696,58322822,64837003,78034408,91961686,106159929,120362577,271529688,123013711,136844551,127837441,113958724,99935850,98559699,98559700,112553555,272077665,126423159,112553557,98559702,84636165,71073250,58356970,46987284,37102869,28595217,21362726,15383977,15383976,21362724,28595213,37102863,46987274,58356960,70864052,58149871,58149870,70864050,59263242,59263243,71999415,85586129,80380995,257889743,34674783,34674782,43949422,54683842,54683844,256727081,26673858,26673857,34667034,34667030,34667031,257290801,34667029,26673854,19869818,14236120,9786443,254966569,19869816,25702476,19076186,19076187,21486393,255839325,255153475,256491579,39512691,256983345,30204195,256439375,30204095,29654115,29654116,38220137,37640416,29089988,21792009,21792010,17927699,17927698,24313030,31831031,255926976,62057652,74856625,88493830,258366714,42999811,33944127,26108563,26108564,33944128,42999809,53476471,65498565,78829961,92936414,107341001,121722158,135666434,262036109,172435181,182390989,191096410,198588247,204936036,210197008,214498694,218034708,221000564,221000565,221000563,218034706,218034705,221000560,223536972,225735348,223536969,223536970,225735349,227651864,229331374,230820564,232151770,233352913,234441708,235371008,234374205,233278047,232066799,230722246,229213137,227505931,225553415,223308819,220711642,217659684,214002380,209547088,204116528,197608020,189965120,181101424,170996184,159681105,147332949,134120818,120289686,106089314,106089315,112417687,112417686,126280729,129001935,142377582,155025192,166724485,177279938,186604143,273326640,190098829,181281691,171243611,160006811,147743126,134612881,120816815,106569448,92272035,78245116,64971832,256671710,42556942,33540504,25751728,19113451,19113450,25751726,33540502,42556939,52996938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165330, s2 = 15077876, dlinesl.size( ) = 2 s1 = 14165330, s2 = 15077876, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165330, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 3820149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7853079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8432279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15954247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7187774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7187774, s2 = 11029138, int(edited[s2]) = 0 s1 = 7187774, s2 = 11029138, d1 = 29, d2 = 26 Dl.O(d1) = 263767566 Dl.O(d2) = 255704264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7187774, s2 = 11029138, dlinesl.size( ) = 40 s1 = 7653630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7653630, s2 = 6841465, int(edited[s2]) = 0 s1 = 7653630, s2 = 6841465, d1 = 13, d2 = 7 Dl.O(d1) = 271116181 Dl.O(d2) = 259099614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7653630, s2 = 6841465, dlinesl.size( ) = 18 s1 = 14165488, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10237471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6891403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8480240, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8480007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8321262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7033405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7033405, s2 = 14301524, int(edited[s2]) = 0 s1 = 7033405, s2 = 14301524, d1 = 17, d2 = 3 Dl.O(d1) = 261646649 Dl.O(d2) = 38180289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7033405, s2 = 14301524, dlinesl.size( ) = 2 s1 = 7033405, s2 = 14301524, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7033405, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 8384223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8384223, s2 = 14983702, int(edited[s2]) = 0 s1 = 8384223, s2 = 14983702, d1 = 7, d2 = 20 Dl.O(d1) = 258479653,260358355 Dl.O(d2) = 261521689,261521687,262550155,273489098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8384223, s2 = 14983702, dlinesl.size( ) = 8 s1 = 10177925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8524061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8524061, s2 = 14343919, int(edited[s2]) = 0 s1 = 8524061, s2 = 14343919, d1 = 18, d2 = 28 Dl.O(d1) = 33249304,42211253,52571958,64446957,77614994,258878822,70867599,70867598,70867599,256013564,46772784,46772786,257064924,65919868,53852611,43328322,34229987,26355288,19625119,14064479,14064480,19625122,26355293,34229993,43328330,52307158,256662276,25283490,18710615,18710616,25283493,25283483,25283482,32458682,258979809,259052996,126521475,260890458,161907910,261526435,122356044,122356045,136340996,149608598,136340981,260362325,93491268,93491267,107929155,107929158,122356039,136340988,273044453 Dl.O(d2) = 107929154,272661766,147105954,133863459,119998455,119998454,133863456,136340978,262059999,149608593,262060001,173061471,182947131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8524061, s2 = 14343919, dlinesl.size( ) = 20 s1 = 8431463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6839365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6839365, s2 = 7329727, int(edited[s2]) = 0 s1 = 6839365, s2 = 7329727, d1 = 14, d2 = 18 Dl.O(d1) = 259071076 Dl.O(d2) = 265488698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6839365, s2 = 7329727, dlinesl.size( ) = 16 s1 = 4038632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4038873, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7063125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7063125, s2 = 13790877, int(edited[s2]) = 0 s1 = 7063125, s2 = 13790877, d1 = 40, d2 = 15 Dl.O(d1) = 79375756,93512493,107949884,122376413,262061421,136360742,261527893,262555351,263416773,191592819,273285165,173075505,182959602,264114477,201566897,273822970,182959629,173075535,161924068,149626703,149626702,136360785,136360786,149626718,161924080,173075543,182959633,191592815,182959596,182959595,263416775,173075516,173075513,182959613,173075530,173075531,182959625,263784109,191592821,182959604,182959605,273669425,199013089,264114479,210481306,264114483,264114481,273490881,273490883,199013085,199013087,191592828,182959615,262555355,149626681,149626683,262061431,136360782,122376432,107949895,93512498,93512499,107949899,122376436,136360788,149626721,161924040,149626667,136360741,122376392,107949870,93512484,93512485,107949872,122376396,261784594,93512486,93512487,107949877,122376401,136360749,149626676,136360760,271618187,107949880,122376408,136360757,149626683,262061431,136360782,122376432,107949895,93512498,93512499,107949899,122376436,136360788,149626721,161924040,149626667,136360741,122376392,122376391,136360739,149626665,263008661,173075499,173075502,182959595,263416775,173075516 Dl.O(d2) = 263543464,200862615,193775829,185511601,176041621,165351418,153562441,153562442,165351420,273122200,176041675,261169956,127533085,127533086,140888361,261169958,176041680,185511605,176041625,165351422,165351421,176041600,176041601,185511575,176041597,165351394,165351396,262233160,165351456,153562472,153562471,165351455,262226625,127533060,140888328,261710941,140888302,153562413,153562419,153562418,140888308,127533021,127533020,140888305,153562416,263143367,262226623,140888325,127533056,260585579,99647593,99647594,259985463,99647543,113661423,127533014,113661420,260585563,261710939,140888303,153562414,153562438,140888326,140888323,260585577,99647584,85698544,72112301,72112302,85698516,258118695,47989250,38076427,255890373,22170838,29511993,38076425,47989248,59379523,47989258,38076431,29511994,29511995,38076434,47989263,59379544,270836813,99647589,113661482,127533034,259985466,85698510,72112276,72112275,72112274,59379518,59379519,47989254,47989253,59379529,72112286,85698520,72112303,72112304,85698548,99647591,99308471,257508974,127171671,113311939,113311940,113661434,113661433,127533032,260585574,165351403,165020504,153201290,153201291,271798488,140888362,127533096,127533095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7063125, s2 = 13790877, dlinesl.size( ) = 12 s1 = 2937494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3828727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9223965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16278647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16278647, s2 = 16237801, int(edited[s2]) = 0 s1 = 16278647, s2 = 16237801, d1 = 22, d2 = 21 Dl.O(d1) = 172646026,182571910,191252125,198724778,205055305,202581793,195775131,187826167,178709260,178709261,187826165,195775129,202581791,208302058,213020357,216877804,214115362,209682607,263905992,263158068,181403204,181403201,181403202,190204524,190204523,197804293,263551000,190204531,181403210,171383159,160164640,147916566,134797940,121001351,258760520,92443607,106748523,121001353,271662778,114273286,259799300,261515221,147258975,134041823,120208262,106748519,106748518,260003478,93299561,79174437,65815856,53757906,53757905,65815854,79174435,91813270,91813271,100249716,257180448,59989698,48597772,48597771,59989696,72727120,72677149,72677150,257203156,38630197,256647538,30056074,30056072,22679522,22679521,30056071,38630199,48545068 Dl.O(d2) = 121012723,106759419,92454105,78418080,78417927,65136066,53150910,42700401,33669511,25862991,25862990,33669509,42700400,53150908,65136064,78417925,81285089,67817968,55475656,44625688,44625689,44625690,35242261,27145262,20236218,14520962,9991638,6566785,6566784,6566786,4113788,2460661,2460662,4113783,2460659,2460660,4113786,6566783,9991636,13462208,9206146,9206147,13462210,18890871,25495874,25495875,33246541,269081539,257203159,64443924,64703251,52789550,257806221,43243040,43243041,53757901,65815849,79174429,65815845,65815844,79174428,93299553,107718678,99893478,99893479,99893477,85938357,72344519,59610221,48223364,38313477,29744767,29744763,29744754,22385567,16227461,16227462,22385569,29744758,38313468,48223357,59610213,72344509,72344511,72344512,85938347,99893467,113911964,127786428,272075241,108653489,94365474,94365473,94365470,271144783,272075239,136750589,149892484,149892485,149892486,162104913,173205363,176561474,165912973,154151984,141486401,258307562,100203857,86235596,258307560,114238271,128125077,128125071,114238265,100203852,100203853,114238266,128125072,141486394,128125070,128125069,129866469,115969145,101924933,87952316,74350106,74350105,85642472,72055268,59320828,47928583,47928584,59320829,72055269,85642474,99592467,101924936,113607776,113607775,115969152,101924937,101924938,115969154,127482123,127482122,129866472,143195457,155747694,155747695,167380713,167380714,167380715,177876288,176006889,176006888,185480127,193747246,200836896,206820047,211764167,208302067,202581803,195775139,187826174,178709271,263284197,156936746,144538684,144538685,144538688,260786161,103397176,89307858,89307857,103397174,117521926,131317719,144538675,261894715,168390659,178709261,178709259,178709258,187826164,195775128,202581790,208302057,213020354,209682608,204279840,263158070,181403205,171383156,171383155,181403201,171383153,160164638,147916562,260003480,106748521,92443605,92443604,106748518,260003478,259675968,65815853,65815854,79174435,91813270,91813271,100241656,86324710,72727122,59989697,59989696,72727120,72677149,72677150,257203156,38630197,256647538,38630203,48545071,59937654,48545065,48545066,50093457,257655363,74350103,87952313,101924927,115969137,121012725,121012726,134809513,147928413,147928350,147928349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16278647, s2 = 16237801, dlinesl.size( ) = 2 s1 = 16278647, s2 = 16237801, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 16278647, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 9025094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8587516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8385443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8385443, s2 = 13995070, int(edited[s2]) = 0 s1 = 8385443, s2 = 13995070, d1 = 20, d2 = 24 Dl.O(d1) = 26658385,19844293,19844294,26658386 Dl.O(d2) = 262069557,173233200,183084111,191692677,199095252,205356532,210539387,214774312,218259430,221187005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8385443, s2 = 13995070, dlinesl.size( ) = 12 s1 = 8603592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4043952, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3834309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8527840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7141229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3064463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6982166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4044798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13378381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4045941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8694446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8694446, s2 = 11657757, int(edited[s2]) = 0 s1 = 8694446, s2 = 11657757, d1 = 6, d2 = 6 Dl.O(d1) = 273676807,191877291,263028820,261549930,260395022,95176541,81118109,258531007,55312185,44466279,35089856,27004155,20113613,14424469,9922487,6521528,6521527,9922485,9747287,6409308,4020964,2409398,1394161,1394160,2409395,254465493,4020569,2409198,2409193,4020554,5952770,9098314,13317809,18710948,25283822,21926048,21926049,29246195,30282562,30282561,34591319,37819204,29589080,29589081,29637261,26612512,19804348,14185707,9751804,9751803,9744357,9744356,14174200,14178529,14178530,14178691,14178692,19794615,25840288,25840289,255265898 Dl.O(d2) = 273676807,191877291,263028820,261549930,260395022,95176541,81118109,258531007,55312185,44466279,35089856,27004155,20113613,14424469,9922487,6521528,6521527,9922485,9747287,6409308,4020964,2409398,1394161,1394160,2409395,254465493,4020569,2409198,2409193,4020554,5952770,9098314,13317809,18710948,25283822,21926048,21926049,29246195,30282562,30282561,34591319,37819204,29589080,29589081,29637261,26612512,19804348,14185707,9751804,9751803,9744357,9744356,14174200,14178529,14178530,14178691,14178692,19794615,25840288,25840289,255265898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8694446, s2 = 11657757, dlinesl.size( ) = 2 s1 = 8694446, s2 = 11657757, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8694446, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8525662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8482851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8482851, s2 = 8939295, int(edited[s2]) = 0 s1 = 8482851, s2 = 8939295, d1 = 7, d2 = 10 Dl.O(d1) = 67622807,81088525,95146011,109399978,123591609,137322920,262083305,173532833,183332734,191900591,199270781,205506487,210664956,264922141,218346166 Dl.O(d2) = 265671481,225919815,227807247,227807244,225919813,223756147,223756146,265671483,229464317,230936504,232255690,232255700,274655663,230936518,230936516,230936512,230936513,232255700,274655663,232255703,233446361,232255698,230936509,230936508,232255697,230936515,229464323,227807245,227807246,229464319,229464320,230936508,232255695,233446366,233446370,233446369,233446363,232255699,230936509,230936508,232255697,230936515,230936514,230936517,232255702,233446369,233446362,232255691,232255692,232255699,230936509,230936507,232255694,232255693,232255694,233446364,234527951,235513530,236412807,237234052,237981669,238661484,239284493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8482851, s2 = 8939295, dlinesl.size( ) = 2 s1 = 8482851, s2 = 8939295, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8482851, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8436168, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4047969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9716300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4048294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3839095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4048760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7099947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3840162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3840162, s2 = 7215918, int(edited[s2]) = 0 s1 = 3840162, s2 = 7215918, d1 = 0, d2 = 17 Dl.O(d1) = 137369678 Dl.O(d2) = 264129951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3840162, s2 = 7215918, dlinesl.size( ) = 20 s1 = 10201506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13297041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6881547, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8387455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8387455, s2 = 10355829, int(edited[s2]) = 0 s1 = 8387455, s2 = 10355829, d1 = 59, d2 = 50 Dl.O(d1) = 95212551,259790704 Dl.O(d2) = 272512033 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9197656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4050407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13782185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8436951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9165048, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9500327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4241749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8026092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4052407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4052407, s2 = 8528092, int(edited[s2]) = 0 s1 = 4052407, s2 = 8528092, d1 = 49, d2 = 69 Dl.O(d1) = 150489562 Dl.O(d2) = 150156090,162315719,173379518,183204360,191794067,191825468,183248199,173439181,162395016,150256742,150256741,162395012,263020905,183204334,173379458,162315643,150156021,137091089,123338365,123338328,109129624,94863958,259775341,123338331,259849308,151494023,162383932,150242834,257939790,123459715,137196588,150242832,162383930,173430920,183242382,182965631,173082210,261016888,136372839,136372840,261016890,173082212,182965633,271671082,151399710,151399711,260422050,167508657,155891630,143346900,130013423,116104122,102046927,88061913,74449984,61666190,61666191,74449986,87304851,257355656,60040796,48644911,38724373,30143312,30143310,38724290,34433171,26505368,26505367,34433220,43618235,34501725,34501722,43733475,51135935,51135934,62770842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4052407, s2 = 8528092, dlinesl.size( ) = 20 s1 = 4052648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8581508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8695274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3846281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3846616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8440018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6863795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6943301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6943301, s2 = 11745833, int(edited[s2]) = 0 s1 = 6943301, s2 = 11745833, d1 = 27, d2 = 1 Dl.O(d1) = 260419429,137649319,262333600,261282788,151553939,138851403,125518599,111711389,97788736,83929715,70403480,57709477,46360287,255169224,22253913,22253914,25269111,25269110,256008226,28492344,257428855,70952812,84516321,98437693,112425880,126288498,139658287,145855237,158225108 Dl.O(d2) = 158225107,145855236,145855237,261396809,118816917,259615767,76614228,63534339,51755658,41485601,32606741,32606740,41485599,51755657,63534338,76614226,90472711,104636442,118816913,132635554,145855230,158225099,169602049,179799127,188777947,196563642,203232716,206624393,200608221,193476479,185157141,175620542,164864350,153026192,140327613,126972709,113114123,99123870,85201316,71636555,58915888,47534781,37628692,29077946,21780027,21780026,20066710,14382631,14382630,11259848,7474954,7474952,11259855,10887839,7199816,4536018,4536020,7144053,7144055,7144590,7144588,10811840,7197126,4534272,2725625,1579296,1579294,2725619,4534255,4971739,7832332,9890006,14384398,20068183,23017668,16777441,11730416,7831576,4971309,3002752,3002751,2439008,1410191,1410192,2439012,4072981,2437131,1409242,1409241,2437125,2429844,2429843,2429837,2429836,4059731,4536483,6478485,4536205,4536206,4533900,4074062,2437697,1409508,801853,801854,1409509,2437702,4074081,6501775,7374640,267972975,16014178,14377175,14377176,15727240,14364302,9870919,9870916,7223737,6507633,4102973,4102970,6549248,6549219,6549220,9875220,6487398,4071270,4071271,6497289,7144537,6492618,4068199,2434332,2434334,2434310,2434312,4068175,6492577,6492304,6492303,9881731,10522716,6939706,6939707,10522718,15252785,21222364,16779748,11732314,11732313,9885189,9885188,254469709,4069816,6494983,9885186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6943301, s2 = 11745833, dlinesl.size( ) = 24 s1 = 9662060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662060, s2 = 16319477, int(edited[s2]) = 0 s1 = 9662060, s2 = 16319477, d1 = 6, d2 = 6 Dl.O(d1) = 270136214,104247861,90114434,76299830,63278068,51559543,51559544,63278070,76299833,90114438,90982659,77093804,63974577,63974578,77093807,90982663,105172812,119375506,126544149,118308398,118308397,132123594,123616616,123616615,137349311,150390716,162521113,162521116,173554052,183350407,181015091,170896828,170896827,170896824,170896823,170896829,159569116,159569110,147210229,141140418,127783475,113908993,99890582,85935516,72341764,255673932,48220484,59607277,72341759,257211258,105934369,91726920,77799178,77799179,91726921,105934371,120146443,133987719,147210225,159569105,170896818,170896819,181015080,189891845,189891849,189891848,197545792,204063101,205648183,199428429,192077348,183534669,173765865,173765864,162766105,150671674,137675174,260629050,95651888,81619019,68129477,55731718,44824187,256429942,27272214,35398613,31140891,23653360,23653359,31140890,32116223,40889994,51027370,62653446,75595750,89356899,260191621,131382796,144605748,157003727,168450513,168450517,157003732,157003733,168450518,178756568,187860850,178756561,178756562,187860852,195800891,195800893,195800894,202601975,208318694,208318689,208318690,213034143,213034140,208318686,208318685,213034138,265006084,213034133,208318679,264239440,195800884,202601965,202601966,202601964,195800883,263571574,168450505,157003722,144605745,144605746,157003725,168450510,178756559,187860843,187860842,191432632,182780491,182780492,262547317,149432212,136180837,122216117,107809669,93386960,79260183,65898059,65898060,79260184,65898062,65898061,65898063,53830950,43306065,34207566,26333537,19605108,14047775,254676231,3985517,3985516,6351913,9659452,14047774,14047772,14047771,19605104,26333535,34207564,43306061,53830943,53830941,43306059,43306058,53830940,65898053,79260174,93386950,107809659,122216107,136180827,131853406,118027538,103884747,103884746,118027537,131853404,145111697,157545405,169006702,261863932,156219612,143688990,130362313,116524055,116524056,102427140,102427136,88425684,74793530,74793531,74793536,256551954,40469977,31775175,31775174,40469975,50505589,61997145,74793529,88425682,102427135,259539954,143688982,156219604,167814283,178257151,187471505,195489844,202347266,196314336,188449045,179417923,169150559,157708394,145296630,132058467,132058468,145296632,132058469 Dl.O(d2) = 270136214,104247861,90114434,76299830,63278068,51559543,51559544,63278070,76299833,90114438,90982659,77093804,63974577,63974578,77093807,90982663,105172812,119375506,126544149,118308398,118308397,132123594,123616616,123616615,137349311,150390716,162521113,162521116,173554052,183350407,181015091,170896828,170896827,170896824,170896823,170896829,159569116,159569110,147210229,141140418,127783475,113908993,99890582,85935516,72341764,255673932,48220484,59607277,72341759,257211258,105934369,91726920,77799178,77799179,91726921,105934371,120146443,133987719,147210225,159569105,170896818,170896819,181015080,189891845,189891849,189891848,197545792,204063101,205648183,199428429,192077348,183534669,173765865,173765864,162766105,150671674,137675174,260629050,95651888,81619019,68129477,55731718,44824187,256429942,27272214,35398613,31140891,23653360,23653359,31140890,32116223,40889994,51027370,62653446,75595750,89356899,260191621,131382796,144605748,157003727,168450513,168450517,157003732,157003733,168450518,178756568,187860850,178756561,178756562,187860852,195800891,195800893,195800894,202601975,208318694,208318689,208318690,213034143,213034140,208318686,208318685,213034138,265006084,213034133,208318679,264239440,195800884,202601965,202601966,202601964,195800883,263571574,168450505,157003722,144605745,144605746,157003725,168450510,178756559,187860843,187860842,191432632,182780491,182780492,262547317,149432212,136180837,122216117,107809669,93386960,79260183,65898059,65898060,79260184,65898062,65898061,65898063,53830950,43306065,34207566,26333537,19605108,14047775,254676231,3985517,3985516,6351913,9659452,14047774,14047772,14047771,19605104,26333535,34207564,43306061,53830943,53830941,43306059,43306058,53830940,65898053,79260174,93386950,107809659,122216107,136180827,131853406,118027538,103884747,103884746,118027537,131853404,145111697,157545405,169006702,261863932,156219612,143688990,130362313,116524055,116524056,102427140,102427136,88425684,74793530,74793531,74793536,256551954,40469977,31775175,31775174,40469975,50505589,61997145,74793529,88425682,102427135,259539954,143688982,156219604,167814283,178257151,187471505,195489844,202347266,196314336,188449045,179417923,169150559,157708394,145296630,132058467,132058468,145296632,132058469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9662060, s2 = 16319477, dlinesl.size( ) = 2 s1 = 9662060, s2 = 16319477, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9662060, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13175267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13175267, s2 = 2331951, int(edited[s2]) = 0 s1 = 13175267, s2 = 2331951, d1 = 22, d2 = 35 Dl.O(d1) = 1036619,583967,583965,592901,330548,182051,182053,330557,592877,592874,1054389,1847628,3156852,3113472,1819418,1819416,3113468,4755172,3122531,3122528,4755388,4755389,5120902,5120901,5169852,8049109,11996684,17077149,12021742,8082029,5178103,3159291,3159292,5109005,5109006,3114365,3114364,3155712,3155714,3118485,3118486,3189358,1866397,1064653,1064652,1866394,3189350,5134577,8026312,5115449,3106992,1815502,1815503,254381589,3099878,1811156,1811155,3099875,5106093,7527659,4761004,2869817,2869816,4761002,3153549,1845267,1845266,3153547,5171618,8076500,8033812,5123255,3112806,254376858,8033816,11982113,11982114,17018597,23276887,17091222,12003926,12003925,17091220,23332966,17066424,12133869,8164041,267988102,31049078,28759288,21499917,15492970,15492971,21499921,28759297,35127613,260403417,259810080,109855444,260421273 Dl.O(d2) = 258318488,62541430,75464670,62816367,51169747,41015750,32225336,32225337,30513391,23097796,16842023,11778064,11778066,13837850,9713626,9713629,13837850,9713647,9713652,14118672,9713872,9713876,14119085,18147751,18175791,12889924,12889923,14662525,10084815,10084814,14662520,20432280,25551126,25802629,19156189,13678874,13678875,19156192,25802636,27137678,20230784,20230782,24781189,25431502,25431503,33174160,42130524,52485543,50699512,40640523,31924757,24391731,17991697,12752294,8667208,5638915,3504702,2083293,1197729,1197728,2081933,2081370,1197175,1197180,1197122,1197123,2082137,3502958,5636461,8664129,12748457,9475532,8664126,8664129,12748457,9475532,8664126,8664129,8832772,5755628,3584100,3584102,5755633,6372298,3998644,3998645,6372293,9582012,6289896,3939709,3939707,254463527,254958377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13175267, s2 = 2331951, dlinesl.size( ) = 2 s1 = 13175267, s2 = 2331951, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13175267, Dl.E( ) = 36, 2.88e-05 seconds used appending s1 = 6848409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3849008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3849008, s2 = 4716110, int(edited[s2]) = 0 s1 = 3849008, s2 = 4716110, d1 = 6, d2 = 3 Dl.O(d1) = 109861791,124000075,137680877 Dl.O(d2) = 183538018,183538019,192080253,199431084,205650716,210796009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3849008, s2 = 4716110, dlinesl.size( ) = 2 s1 = 3849008, s2 = 4716110, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3849008, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8389305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4420008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7085647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7085647, s2 = 10348286, int(edited[s2]) = 0 s1 = 7085647, s2 = 10348286, d1 = 11, d2 = 12 Dl.O(d1) = 262344733 Dl.O(d2) = 259827543,257348401,256778341,49260361,50247909,50247908,46383913,256760728,20888946,28058900,30594981,30594980,258824171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7085647, s2 = 10348286, dlinesl.size( ) = 14 s1 = 3849980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4058334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7730206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6990226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4059539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7744920, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8696061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3852298, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3852476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10192094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10192094, s2 = 9581318, int(edited[s2]) = 0 s1 = 10192094, s2 = 9581318, d1 = 47, d2 = 44 Dl.O(d1) = 102361512,88364866,74736277,61941984,50450662,255924410,24217483,17847067,12638396,8580872,8580873,12638397,16218049,11274194,11274193,254787596,7881647,7881648,11800875,12638158,12638159,17846707,24217113,24771976,32394625,34272644,34272643,28415110,21193317,21193316,28415103,34270135,26399492,26399493,22703229,22703228,22103272,15992947,11102297,7362654,7362653,8514066,8514065,12557857,17747948,19658540,23390944,17119034,17119033,254538922,17116476,23388268,268235512,39422915,43069923,34012114,26170243,19469300,19469299,26170241,254424752,13655482,13034258,13034255,9564489,8953229,8953226,13136755,9441223,9441227,9475469,13261291,9565044,9565047,13934615,19469982,26170879,27998642,27998643,36457035,268695770,83870365,97729348,258930030,125452798,138781654 Dl.O(d2) = 207325007,201419857,194403280,186214229,263483658,262284569,128478304,114592817,100561125,86599741,73002348,60267339,48875050,38955483,30369362,22967871,22967872,30369363,26144777,19447416,13916582,13916580,13916581,19447414,16643450,11611386,11611385,11455742,7619793,7619794,11265834,13458055,13458056,18885234,17356580,15198865,10482976,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499832,17516448,17516280,17516277,21810018,21810015,23859685,23859683,25960795,21154327,21154326,17516346,17516345,21149814,25256005,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,21150842,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,17356520,12226944,8255167,5325507,5325506,8255160,255164123,23676470,31164776,32346315,255970097,11860766,7926879,5039156,5039155,7926876,11860760,16946887,23219663,23217715,16949670,11862593,7927928,5039678,5039681,7927939,11862610,16949694,23217612,255969929,16945190,11859706,11859707,16945191,23217614,256471011,49165762,60565241,73308446,86918601,100899047,114951663,128852156,128852154,128852155,142209913,154845662,166550082,177127247,186477662,194626885,201605994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10192094, s2 = 9581318, dlinesl.size( ) = 14 s1 = 8306017, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9368316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8604439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7191708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3729937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3853958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3854076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14665909, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4062813, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14320489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14320489, s2 = 8439746, int(edited[s2]) = 0 s1 = 14320489, s2 = 8439746, d1 = 33, d2 = 6 Dl.O(d1) = 184789273,175221648,175221647,184789272,263855568,263096684,152584473,139874784,139874783,126509155,126509156,139874786,152584476,152584483,139874791,126509159,112644415,98647712,84717333,84717329,84717330,71147436,58425807,58425804,71147433,79246076,79246067,270289744,58425808,58425809,71147430,270808217,71147407,71147406,84717297,95219469,81162807,67696936,55356961,47046153,37155324,28639569,21399120,15412904,10653987,7035152,4426209,2656144,1536500,872074,492183,492184,254225411,4427691,7036962,10656409,15416113,21403188,21403179,15416109,10656407,10656406,15416106,21403173,28644530,37160569,47051142,58425813,71147440,259303863,112531081,112531096,112531088,112531087,112531083,98536818,98536816,84612459,259297865,71048619,71048616,258671291,98536866,84612512,71048612,71048611,71048568,71048569,84612470,258046979,58332924,71048610,71048614,71048615,84612515,259917423,126401050,139775785,139775786,152495709,164362140,152495714,152495713,262168403,152495712,164362146,273099507,164362124,175153990,273850228,184730535,184730534,184730522,175153995,175153994,184730519,184786581,175218797,175218798,175218801,164437233,164437234,164437229,164437228,170784084,159444274,159444273,159444275,147068600,133823314,119955538,260871657,261974943,119955547,105719677,91495183,258404935,52521985,52521982,257789917,258016663,257789919,42163727,33203723,25456664,18857561,18857560,25456662,33203719,42163719,52521972,64395838,64395833,52521970,52521971,64395835,77564128,77564126,77564127,77564129,77564130,91495175,105719666,105719681,91495185,77564150,259032073,91495199,77564162,77564161,91495197,105719697,259267769,84117365,259886751,84117364,70580915,70580916,70584106,84120932,97996442,111936304,111932123,259886749,84117296,70580858,57879767 Dl.O(d2) = 260470008,173204442,173204443,162132405,162132301,162132300,261049482,151566249,138863847,138863845,136785027,136785028,149920784,162132514,173232247,173232236,173232235,173231996,173204442,173204443,162132405,162132301,162132300,261049482,151566249,138863847,260472454,259252078,70416874,80307911,66878290,66878285,62490062,50890930,40775104,32018976,24457866,256060291,40775102,50890927,62490059,75408168,89155172,103245072,117374343,131176805,131176806,131864354,131864340,118039137,103896814,89795647,76018834,63035934,63035933,76018833,89795645,103896811,118039136,131864330,131864329,145121687,136163920,122201464,107796188,93373923,79246062,79246063,93373924,79246066,71147437,58425807,58425805,65881778,53813819,53813813,43288792,43288791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14320489, s2 = 8439746, dlinesl.size( ) = 8 s1 = 8439795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8439795, s2 = 15006187, int(edited[s2]) = 0 s1 = 8439795, s2 = 15006187, d1 = 26, d2 = 25 Dl.O(d1) = 256825314,258014990,138869327 Dl.O(d2) = 42050884,33102037,25367480,25367479,27989699,36448438,46301447,57646089,70336528,83861671,97720342,111641071,125443483,138772231,151473656,273274878,192356173,199653587,205826909,210932356,215103978,218538726,221428541,223905803,226052564,265660322,274358952,265239778,264808370,216523326,212606183,212606182,263966064,195081822,186998969,177719103,167221368,167221369,177719105,262801834,167221370,155589675,143039641,129708861,115810184,101764129,87791324,87791323,258868906,87791327,74187242,61407572,49928120,39908788,31232296,23748759,254841796,11816041,254558981,3033081,1765077,1005658,567461,567459,1006909,1767044,3035773,2017731,1154304,1154307,2017737,1154347,1154344,2017794,2017838,1154375,1154374,2017836,3417764,5532201,8534163,8520999,5519495,3406164,2009103,2009102,3406159,5519490,268003019,5518994,3405640,3405641,254374921,1769165,1769164,3038537,3405719,5519074,7897160,5018173,267793979,254250863,2826184,1639739,1639738,2826181,4690285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8439795, s2 = 15006187, dlinesl.size( ) = 2 s1 = 8439795, s2 = 15006187, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8439795, Dl.E( ) = 28, 1.22e-05 seconds used appending s1 = 3624812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351947, s2 = 7635651, int(edited[s2]) = 0 s1 = 10351947, s2 = 7635651, d1 = 25, d2 = 20 Dl.O(d1) = 159514655,147153796,261053492 Dl.O(d2) = 270327218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351947, s2 = 7635651, dlinesl.size( ) = 26 s1 = 8605045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8391029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9326980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9326980, s2 = 8605188, int(edited[s2]) = 0 s1 = 9326980, s2 = 8605188, d1 = 193, d2 = 63 Dl.O(d1) = 36554476,255365972,256278676,257395248,262131362,163543969,163543966,261609556,260477210,151662729,151662730,260477212,272817301,125620004,138958209,151662723 Dl.O(d2) = 199780520,199780521,199780527,192501107,272163680,163543976,151662735,138958212,259256600,261056372,273085360,263466400,272817306,184043520,174387455,272513716,163544272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9326980, s2 = 8605188, dlinesl.size( ) = 52 s1 = 9197684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4065058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4065058, s2 = 13367948, int(edited[s2]) = 0 s1 = 4065058, s2 = 13367948, d1 = 1, d2 = 7 Dl.O(d1) = 151676385 Dl.O(d2) = 36614425,46480814,57836843,70538639,84075561,97949393,104049765,89920319,76114353,63108901,51412417,41216131,32393144,24770632,24770631,32393142,41216128,41216125,41216126,37983837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4065058, s2 = 13367948, dlinesl.size( ) = 2 s1 = 4065058, s2 = 13367948, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4065058, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4065532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7950879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4066483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6946263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9159140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9159140, s2 = 14370509, int(edited[s2]) = 0 s1 = 9159140, s2 = 14370509, d1 = 33, d2 = 27 Dl.O(d1) = 261405802,256848958,111895864,125713457,139052488,259907712,261088360,262159920,205986609,211068649,264171842,218702977,263936086,211160186,206104456,199987573,192749424,260652564,163905827,152041736,139334976,125983574,112146960,98184566,84288695,84288696,255127626,47548390,37641967,33268076,25507444,18897124,255667459,33268069,42247486,52632733,64531593,77712621,258811426,83959794,83959793,70433454 Dl.O(d2) = 202180764,207968744,264056556,264628932,222608775,224953369,226989903,226989904,265639984,265810644,225228580,222933327,220269389,264908636,208723329,203099812,196385397,263409878,145434696,260950742,76280588,258440763,42676146,256156671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9159140, s2 = 14370509, dlinesl.size( ) = 22 s1 = 3099286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3053746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3053746, s2 = 7042493, int(edited[s2]) = 0 s1 = 3053746, s2 = 7042493, d1 = 0, d2 = 7 Dl.O(d1) = 93429013,107853058,122261702,260626510,36610261,28136533,28136532,28163881,20983902,260487081 Dl.O(d2) = 261753602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3053746, s2 = 7042493, dlinesl.size( ) = 8 s1 = 9700959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3861903, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6946771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4069553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8021911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4069668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13814983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9131500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9131500, s2 = 5076367, int(edited[s2]) = 0 s1 = 9131500, s2 = 5076367, d1 = 1, d2 = 14 Dl.O(d1) = 44826772 Dl.O(d2) = 215227847,211074524,264159371,192574987,184124852,262625239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9131500, s2 = 5076367, dlinesl.size( ) = 18 s1 = 3863355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6947172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6799166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799166, s2 = 10355637, int(edited[s2]) = 0 s1 = 6799166, s2 = 10355637, d1 = 13, d2 = 17 Dl.O(d1) = 258648490,260496568,112206686,126062938,261627677,164038737,261780212 Dl.O(d2) = 260775588,258936998,258312281,50841872,50841873,258312282,62622747,256058596,32093548,32093549,40865220,51000051,62622748,72834372,72834371,86428793,89054350,77253013,64106234,52257366,41919096,41919095,49113516,39184277,39184276,49113515,46399332,36538438,256815177,57750169,70445432,83973027,97834329,111759005,112960759,112960758,113394616,127253016,260712093,101793138,101793136,115839212,129738165,129738166,138900667,138900671,126814864,271798498,113394615,259985560,98971552,101793148,87820698,87820699,101793149,115839218,101793177,87820724,74216817,61437746,61437745,71474943,85046566,98971554,112960762,112960756,112960757,101793158,87820704,74216784,74216783,87820674,101793140,112960749,112960750,125567388,112960751,98971544,98971543,98971558,112960766,98971565,85046577,85046578,87820673,270383243,61437748,49959886,49959887,61437750,61437648,61437647,71474939,58745542,58745541,71474937,74216730,87820680,85046558,74216768,61437695,49959836,49959837,61437689,74216763,74216778,74216771,74216769,87820687,87050794,73433375,60685461,49284292,39942922,39942923,39942934,31268255,31268256,39942941,49959822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799166, s2 = 10355637, dlinesl.size( ) = 14 s1 = 9531538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9531538, s2 = 14940228, int(edited[s2]) = 0 s1 = 9531538, s2 = 14940228, d1 = 9, d2 = 10 Dl.O(d1) = 257930052,258842534,88263232,102261401,271841222,261449936,127183455,113324111,99320794,258653406,84848479,84848478,85375936,71786321,59044349,47642540,37720488,29160671,21852274,21852275,256360063,40124475,257811464,43038658,33981321,26141705,19444722,254732154,6265938,3922937,3922936,6265936,9549863,13914361,19444715,26141694,26404280,26404281,34279263,28624163,28624165,37136989,37162323,38838577,44731774,44731775,43379255,36436203,28359892,28359893,36857870,37116738,46289207,38839240,36645704,36603648,33607530,25809382,19161516,13682843,9370280,6137790,6137789,254301618,19161511,21337034,21337033,28563863,37065521,46944652,58311183,71026900,84591243,98435023,84513575,70950014,58232823,46864921,36986398,28489530,256267348,15312029,15312028,21273255,256311053,46864920,58232822,70950013,84513573,98435022,112423203,126285842,139655697,152376125,164248698,263088285,184473569 Dl.O(d2) = 83872760,97731531,111652270,125454813,135735739,121796557,107414354,93006544,78897039,65562254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9531538, s2 = 14940228, dlinesl.size( ) = 2 s1 = 9531538, s2 = 14940228, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9531538, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 3864460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6638379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10240283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8746240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8746240, s2 = 13670795, int(edited[s2]) = 0 s1 = 8746240, s2 = 13670795, d1 = 34, d2 = 2 Dl.O(d1) = 273975023,192924008,192924007,200123769,200123771,192924008,264057110,152203626,164092493,174918174 Dl.O(d2) = 70889629,70889630,70889622,70889621,84446775,98356396,98356417,112339061,126199527,112339044,112339043,126199525,126199528,259904307,98356391,112339048,272175184,58175393,46808007,46808006,258033483,84446772,98356393,112339050,126199530,112339060,112339057,98356399,98356398,112339055,112339059,98356411,259904309,261085259,112339059,112339052,112339051,98356395,98356394,98356422,84446801,70889639,70889638,84446792,84446791,259904313,261085261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8746240, s2 = 13670795, dlinesl.size( ) = 36 s1 = 10212452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8202154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8202154, s2 = 7114997, int(edited[s2]) = 0 s1 = 8202154, s2 = 7114997, d1 = 12, d2 = 7 Dl.O(d1) = 256019950,112268026,126127249,139502096,152233053,147323599,147323598,261294506,170986786,174941088 Dl.O(d2) = 60374180,60374181,73114170,86719897,100695590,260026784,100695588,86719894,73114168,258160624,260054697,100695589,86719894,73114168,258160624,260054697,262763471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8202154, s2 = 7114997, dlinesl.size( ) = 10 s1 = 3866520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4073335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4073335, s2 = 11299292, int(edited[s2]) = 0 s1 = 4073335, s2 = 11299292, d1 = 32, d2 = 65 Dl.O(d1) = 152240516 Dl.O(d2) = 60608488,49208023,257599857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4073335, s2 = 11299292, dlinesl.size( ) = 20 s1 = 7004084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7704788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7704788, s2 = 3868649, int(edited[s2]) = 0 s1 = 7704788, s2 = 3868649, d1 = 36, d2 = 74 Dl.O(d1) = 273171972 Dl.O(d2) = 174989169,260844558,152288632,139558328,139558327,152288631,164172519,164172516,152288630,152288631,164172519,164172516,164172517,174989167,164172522,164172521,260844558,164172520,164172522,152288634,139558328,139558327,152288631,164172519,152288633,139558328,258377916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7704788, s2 = 3868649, dlinesl.size( ) = 20 s1 = 3867160, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6775237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14937078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14937078, s2 = 6997087, int(edited[s2]) = 0 s1 = 14937078, s2 = 6997087, d1 = 25, d2 = 13 Dl.O(d1) = 77348141,64200467,64200466,64200454,52349975,42010597,33066452,25336881,25336875,18757258,13356321,13356322,18757260,25336879,33066448,42010614,52349990,52572842,258239846,70985515,58271048,46905882,46905883,58271050,55487674,52349977,259647059,119729242,128316096,261762515,262750847,264242647,273879891,263596187,263214484,11910210,7966693,5068632,254253481,575848,322241,322239,575833,1021955,1791790,1787686,1019295,1019293,1022025,1018024,573749,573748,1018016,1785256,1792119,1797146,3064899,5042771,3072541,1791982,1791983,1029870,1029872,1790596,1790598,3070749,5046897,5046898,254379719,1803699,1803696,3088326,5073297,7972743,254389614,23227670,16956750,11947285,7997141,5090877,5090876,7997119,7997118,7943070,7943071,11872925,7936413,5046771,5046764,5046765,5054288,5054289,7947624,7974774,5074835,3077416,3077414,5054524,5051184,3060303,3060304,5051189,7942569,11880857,254572548,23241540,16973102,11885621,7946191,5053388,3061471,3061473,5053399,7946233,7955507,5060045,3065663,3065662,1807032,1807029,3092714,5095177,5058015,3064418,3064417,5057994,5057928,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5093950,5083172,3082997,3082996,5083168,7986916,11934410,10438401,6881308,6881307,7962942,7962944,7973958,7973957,7951898,7951901,11892406,16964763,16139347,16139349,17021417,16985399,16985398,23249076,16985401,16985400,17075833,11988892,8040591,8040590,11988889,8353230,5391641,3315402,3315401,5391636,4935373,4935371,7785353,11676735,16718572,22955077,23248193,22955067,16967446,11879372,11879374,11879847,254177422,12284421,13410685,16677022,22909353,23260718,23260719,23246118,16980019,11893383,11893384,16980021,23246119,23249869,16986535,16986536,16978699,16978700,16961167,11873095,11873096,16140006,11212281,11212280,16140003,22283750,23237411,23237410,23236868,17005202,11918455,8296233,8296232,12284544,11907232,7964333,7964334,7964343,10847831,10847830,8184879,5254430,5254429,8184877,12154388,17098889,12012783,12012782,11888471,11888469,16975687,254177888,11918245,7983698,5081174,5081173,7983693,11930513,11912297,11912296,11884536,7945375,7945373,10835025,10835024,15653897,16983819,16983818,16984330,18822198,17016125,11931679,7984670,7984667,10835403,7162534,4511110,254508079,7778002,8353918,8353921,7991698,5830861,5086723,5086725,255141829,255974461,36897703,46775643,58143323,260503419 Dl.O(d2) = 261140718,270293087,47125321,58503827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2524780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2524780, s2 = 14937077, int(edited[s2]) = 0 s1 = 2524780, s2 = 14937077, d1 = 13, d2 = 17 Dl.O(d1) = 71823364,59082434,270293086,261140719 Dl.O(d2) = 260503418,72313022,59578333,48191895,255974460,255141828,11328513,7525034,4758568,4758567,7525028,8061410,8033178,254508078,5151139,5120666,3110892,3110891,5120664,3117543,3117393,1821864,1821863,1810499,1037935,1037934,1817859,1834320,1834322,3137219,3131101,1830410,1044677,1044678,1830416,3098796,5104583,5142122,3127923,254177889,587521,587522,1043655,1828553,3127936,5139879,3126169,1827473,1043079,1043080,1811422,3100328,5106684,5139303,5139304,8031906,8038305,5128502,3117130,1849271,1829168,1043990,1043989,1043993,1829175,3128964,5143442,5137883,5137884,8045453,5174247,5149963,5149964,3158629,1848900,1848901,3158631,5177439,8081561,8035871,5125721,5125720,3115158,1820473,1039303,1039302,1820406,1039263,585301,585299,254177423,1823245,3119560,5131523,3123861,1825942,1825941,3123858,3158529,1848829,1848830,1823399,1823402,3119838,5131916,5161765,8046484,8046483,11165397,8016364,5136149,5127238,5127239,5227087,3188893,3188892,5227085,3188904,1866095,1064480,1064478,1866091,3113169,3100482,3100480,3115483,3115484,3150684,3142754,3142753,5150886,5228359,5159395,3142755,3116942,3116941,2866826,1663917,946691,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,329710,329709,591134,591135,1051010,1841592,3137000,1834189,1820093,1820094,1837937,1815397,1036619,583967,583965,592901,330548,330546,592893,1054424,1847682,3156923,254572549,5123517,3112982,1819126,1038552,584913,326785,180345,180344,326780,584904,1038532,1819085,1838689,3143639,5160373,8066557,8036386,8036388,8056892,8054238,8054237,12000803,8063523,5156636,3140223,3140221,5148794,5148792,8057409,254389615,3188896,5227089,5154556,3138368,3138370,254379718,5133341,5066889,3070950,3070951,5066893,7964477,5114124,5114128,5114261,5133150,5133151,7975895,7975896,5136787,3123545,3123544,5038395,5133827,3123588,1825774,1825776,3123594,5136873,5170134,5066967,5066969,3100027,3100028,5106279,254253480,23330901,23371999,23372000,263214485,263596186,273879890,264242646,262750846,261762514,128316095,114439483,259647058,48730554,49779004,39760217,31082328,31082327,39760215,49779002,258239847,52572781,52572782,49990903,39974863,39974864,37153988,28638422,28638421,37153986,42212048,47044656,58419469,61257810,50244268,50244269,61723112,74504364,88115587 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9510944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660388, s2 = 4074914, int(edited[s2]) = 0 s1 = 11660388, s2 = 4074914, d1 = 0, d2 = 0 Dl.O(d1) = 10527784,11746544,11746543,255512593,21261112,28457660,21231742,15262097,10530151,10530150,15262095,18965496,18965494,255370630,13529312,13520515,13520516,17163903,12067620,8114651,6062636,3793193,2272114,2272113,3793188,6062615,8114756,6561355,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,9258970,9938239,14446139,15473153,15275566,10541956,6952371,4368499,2617386,2617387,3794731,3794730,6064980,9260096,9260707,10572136,6973295,6973294,10572132,15308665,12064201,12064202,13530080,9260623,9260622,13530079,18965483,17155124,12058554,8107686,8107685,8108037,8108036,10570268,8367610,5400407,5400408,4451195,4451194,7069847,10701115,12054012,8104270,5192540,3168499,1855126,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794863,6065209,9260430,13529876,10719275,10719277,15500024,17587412,267772224,9979440,6559170,6559171,4109275,4109276,6559240,9979541,14502801,20210764,27111895,23928618,23928617,31418632,31418535,23928536,20209828,14502142,12413785,8390291,8390290,12413783,9978681,9978680,14501617,18718524,13324822,9104359,5957249,3725579,3725578,5957247,9104357,13324819,10499828,6923588,6923589,10499830,15221657,21182982,15224712,10501850,6924848,6924849,10501852,15224713,21186965,256304247,46783484,58151024,70865130,84422518,98331967,260504167,139551043,152281940,164166442,174983559,184585768,192970772,200164021,206237731,211260059,215363511,218754151 Dl.O(d2) = 10527784,11746544,11746543,255512593,21261112,28457660,21231742,15262097,10530151,10530150,15262095,18965496,18965494,255370630,13529312,13520515,13520516,17163903,12067620,8114651,6062636,3793193,2272114,2272113,3793188,6062615,8114756,6561355,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,9258970,9938239,14446139,15473153,15275566,10541956,6952371,4368499,2617386,2617387,3794731,3794730,6064980,9260096,9260707,10572136,6973295,6973294,10572132,15308665,12064201,12064202,13530080,9260623,9260622,13530079,18965483,17155124,12058554,8107686,8107685,8108037,8108036,10570268,8367610,5400407,5400408,4451195,4451194,7069847,10701115,12054012,8104270,5192540,3168499,1855126,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794863,6065209,9260430,13529876,10719275,10719277,15500024,17587412,267772224,9979440,6559170,6559171,4109275,4109276,6559240,9979541,14502801,20210764,27111895,23928618,23928617,31418632,31418535,23928536,20209828,14502142,12413785,8390291,8390290,12413783,9978681,9978680,14501617,18718524,13324822,9104359,5957249,3725579,3725578,5957247,9104357,13324819,10499828,6923588,6923589,10499830,15221657,21182982,15224712,10501850,6924848,6924849,10501852,15224713,21186965,256304247,46783484,58151024,70865130,84422518,98331967,260504167,139551043,152281940,164166442,174983559,184585768,192970772,200164021,206237731,211260059,215363511,218754151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660388, s2 = 4074914, dlinesl.size( ) = 2 s1 = 11660388, s2 = 4074914, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11660388, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8463377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8463377, s2 = 8254232, int(edited[s2]) = 0 s1 = 8463377, s2 = 8254232, d1 = 29, d2 = 25 Dl.O(d1) = 23781201,17451101,12301745,12301746,17451104,269870493,115836321,271297195,4351506,2606051,2606052,2606053,4351508,6926856,268067917,15228520,15228519,257422179,70869810,271764682,152285695,164169776,152285739,262155632 Dl.O(d2) = 269353028,11278779,7486943,4731356,4731357,7486945,11278783,255908377,38309285,256839761,28368449,21151741,21151740,28368445,36864350,28368838,23350421,23350422,28367039,28367038,21151830,15197203,15197202,21151828,28368557,21152415,15197597,10482309,6911054,4340445,2598501,2598502,4340448,6911061,10482326,15197632,21151853,28368586,256839781,40043552,46746231,46746257,36865743,28367913,28367914,36865744,37801494,30645710,28369320,28369321,36866740,30644622,23222064,23222063,30644620,37908281,46747195,42801379,33769655,25960755,19295656,17469188,12316061,12316062,16946067,23218648,23801954,30644506,23221920,16948911,11862107,7927645,5039529,3051009,3051008,5039528,7927643,11862100,16948899,23221246,23221245,255164165,12227255,11862783,11862784,16949962,23223135,30119223,22737348,255933419,25812342,256452772,8067893,5161922,5161921,8067891,12010328,16729122,11686492,7793286,4941371,2981847,2981848,4941378,7793297,8077900,11686323,11686393,11686471,16729100,11986818,11986820,17074469,23340691,22088865,15982370,15982371,22088867,17106445,17106447,20030491,16721433,254369626,4937868,4937869,7788241,11165719,7793610,7793611,11686934,11678041,7786536,7786535,7792985,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,254552284,254383181,8048246,11687730,267897735,2982243,2982244,254552672,7788497,11680164,16721782,254368986,11680658,9858600,9858599,9858800,6476152,6476151,9858797,14348802,254101712,30352477,30352486,30296778,30296779,30296871,30296870,38882493,39379643,37094529,37094530,39374817,39203267,38942456,255508314,30297267,28086984,20913708,254805678,7750540,4908444,4908445,7750543,11634069,7750487,7750486,11634063,16668386,17786636,17786637,24153803,23256945,23256946,22602357,22602361,29967336,22970084,22970083,22970116,17102364,17102363,23371139,29524986,22182558,16715395,16715393,11941898,11941897,16732735,16732736,22968537,23356629,30296793,23353976,23353978,23270521,17007590,17007588,23270514,23354106,17086326,17086328,23354111,30778165,23361360,23256537,23256538,29419090,22969256,22954570,22954569,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676498,16718342,22954878,23354117,17086334,17086335,16261064,16261063,22427909,17084386,11996773,8049224,5139613,5139612,8049219,11996759,17084369,23266368,30683204,30367269,30367270,30648518,30787622,30356548,23342787,17076597,11989617,8041365,8041366,11989623,17076606,17092961,16732806,16732807,22968609,23368793,22427805,17074999,11987640,11987641,17075004,23338539,23338538,23234142,23234141,23268364,17009420,11923346,11923343,17009415,23271619,17077307,11990535,8042725,8042727,5144217,5144216,8053337,8076353,5171472,5171471,8076351,11988524,11989509,8041246,8041245,11989507,12133846,12133845,11977750,11977749,16963425,16963426,17072363,17011136,11925274,7979207,7979203,5090359,3089100,3089098,5090351,7996409,11946446,11868814,7932905,7678798,4858800,4858802,7678808,11542092,10434100,6878722,6878724,7961436,7932631,7932630,11530452,11530450,16543946,22755322,17021571,11937030,7988901,7988902,11060028,11060031,11076002,7344303,4638783,4638782,7344300,11075999,15958994,22063512,22052091,15948741,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057522,15934902,255072167,4636707,4636706,7340686,11065316,11065315,15939708,22042489,22055974,22055973,15959510,13609325,13609326,15944813,11064679,255071491,15160808,10455397,6891870,4326384,4326385,6891873,10455405,7346527,4640103,3769536,2258496,1310838,748377,748380,1310845,2258507,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920920,1619144,2791016,4633056,7334320,11061272,15940434,11070109,11070107,15951601,22055281,22065763,15961024,15961023,22050882,15947613,11066950,11066948,15937523,15937522,22040001,29370926,29371610,22040658,255881957,256007892,27128342,20223280,20223281,15955523,11073116,7342278,7342277,11073113,15955513,15880445,254845212,22429644,22429643,22013756,254696188,8901951,8901950,13063775,18391928,23250895,22623537,16438265,11452838,11452839,16438269,22623540,28389498,28389496,22054154,15950461,15950460,22054153,29384296,255566078,3127620,1828359,1828356,3121957,4571897,4571896,7250182,5174646,3156090,1847059,1054045,1054046,1847061,3102193,5109175,7526427,8067740,5161738,3144822,254385011,3136544,1833901,1816363,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1817102,3109615,3116955,3116953,1842913,1842912,3150009,5130089,8039770,255526972,5172515,5116023,5116025,5174238,254258913,1846793,3155723,2819540,1635754,930157,524280,524174,293744,162454,162453,293737,524156,929901,1635232,2818613,3116887,5128204,8038029,11987057,17074591,256707415,34255884,255306866,36784466,46670574,36910192,28412825,21191337,15228384,15228385,21191335,24299921,17916933,17916932,24299917,31815596,40511827,50547590,58045716,47312824,47312826,58702524,71434554,85007838,98933672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8463377, s2 = 8254232, dlinesl.size( ) = 14 s1 = 4075372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4075372, s2 = 16190146, int(edited[s2]) = 0 s1 = 4075372, s2 = 16190146, d1 = 3, d2 = 0 Dl.O(d1) = 152290580 Dl.O(d2) = 112325115,98342215,84432682,258032393,46793435,36915682,28417883,21195688,270675666,10507347,6928723,4352953,4352952,6928720,10507343,15231817,21195681,256305163,258032391,58160972,70875181,84432670,98342203,112325103,126185531,139560620,152290578,164173914,174990129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4075372, s2 = 16190146, dlinesl.size( ) = 2 s1 = 4075372, s2 = 16190146, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4075372, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10159303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2685636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2685636, s2 = 11483902, int(edited[s2]) = 0 s1 = 2685636, s2 = 11483902, d1 = 38, d2 = 20 Dl.O(d1) = 76892475,76892476,85366535,85366536,90771452,260840507,139570397,263845573 Dl.O(d2) = 264812552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2685636, s2 = 11483902, dlinesl.size( ) = 22 s1 = 3869206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13584393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2994880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9494359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4076997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2811265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8737625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6948824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6948824, s2 = 10251489, int(edited[s2]) = 0 s1 = 6948824, s2 = 10251489, d1 = 12, d2 = 6 Dl.O(d1) = 260510621 Dl.O(d2) = 200214369,273837692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6948824, s2 = 10251489, dlinesl.size( ) = 28 s1 = 10217100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2486188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2486188, s2 = 7121294, int(edited[s2]) = 0 s1 = 2486188, s2 = 7121294, d1 = 12, d2 = 17 Dl.O(d1) = 70969773,70969774,260512109,139679722,263089531,263850171,206294102,274182497,265975475,232467197,233639550,234706077 Dl.O(d2) = 234706060,235678378,236562270,266655259,237367350,266723997,238098703,237367348,237367347,238098701,238098706,238098707,238098696,237367342,236562273,266500772,234706071,233639548,266098588,229725952,228097919,265975475,232467197,233639550,234706077,235678394,236562287,237367356,266580906,266412108,233639539,233639542,232467191,232467192,266315775,235678385,236562274,236562285,236562287,237367356,238098700,238764734,239377186,239377190,239377189,238764736,238098703,237367348,237367347,238098701,238098706,238098707,238098696,237367342,236562273,235678382,234706063,233639538,232467186,231171007,229725949,229725950,266361142,212872577,212872576,265055239,219980089,264830151,208119777,202355711,202355710,208119779,212872581,212872574,264303899,195499443,187482271,262842309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2486188, s2 = 7121294, dlinesl.size( ) = 2 s1 = 2486188, s2 = 7121294, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2486188, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 9502656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9678420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3875372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2817878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3875920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8572049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8572049, s2 = 10356487, int(edited[s2]) = 0 s1 = 8572049, s2 = 10356487, d1 = 45, d2 = 57 Dl.O(d1) = 72731639,271350211,141561934,154223188,165979964,164390320,261959020,164381012,152517080,262169549 Dl.O(d2) = 58370992,257437948,37114761,261650531,273099917,263494953,264177532,207200504,207200503,201280756,201280757,207200504,207200503,201280756,273556561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8572049, s2 = 10356487, dlinesl.size( ) = 52 s1 = 8417296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4083019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4083019, s2 = 2740377, int(edited[s2]) = 0 s1 = 4083019, s2 = 2740377, d1 = 8, d2 = 17 Dl.O(d1) = 152542060 Dl.O(d2) = 126453708,126453707,139825966,152542058,161395619,161395620,161395623,149109379,149109380,161395626,164404107,164404106,175191317,172576977,262171028,149109380,161395626,164404104,161395619,161395620,161395625,149109379,149109380,161395627,161395622,149109378,135889749,121968316,107598959,270289778,79083990,93198852,259864832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4083019, s2 = 2740377, dlinesl.size( ) = 2 s1 = 4083019, s2 = 2740377, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4083019, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 6903157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7057550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3878465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3878622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3878622, s2 = 8025190, int(edited[s2]) = 0 s1 = 3878622, s2 = 8025190, d1 = 9, d2 = 30 Dl.O(d1) = 139875965 Dl.O(d2) = 259498800,258252254,38075387,37595135,29047383,29047384,25262149,255096448,10327854,9079378,5938008,3712932,3712931 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15526320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15526320, s2 = 3878674, int(edited[s2]) = 0 s1 = 15526320, s2 = 3878674, d1 = 36, d2 = 30 Dl.O(d1) = 242995434,267197739,242995436,242673533,242328329,241955508,266968064,240646075,240138815,239591592,239000050,238357194,237651822,236875279,236020852,235080508,234046638,232911914,231659181,230265723,228697890,226917048 Dl.O(d2) = 77943199,91868128,106064493,260888919,147314962,159664871,152586205,139876591,259759204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15526320, s2 = 3878674, dlinesl.size( ) = 2 s1 = 15526320, s2 = 3878674, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15526320, Dl.E( ) = 42, 1.81e-05 seconds used appending s1 = 6950118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10349475, s2 = 8260976, int(edited[s2]) = 0 s1 = 10349475, s2 = 8260976, d1 = 53, d2 = 35 Dl.O(d1) = 153576107,260620414,113677122,113677121,102359404,88362704,74733919,268952148,61939494,74733918,88362702,102359403,259402088,113979337,113979338,127856994,127856993,141215885,153887790,162597324,173624579,176333031,165664501,162597170,150471540,150471541,162597172,173624445,183416304,191976347,191976378,273117592,162597227,162597228,173624493,165664447,165664446,261242984,162597324,173624579,176333031,165664501,162597170,162597169,162597250,150471603,150471604,162597253,262698052,173624536,162597285,150471637,150471638,162597287,173624494,173624493,165664447,165664446,261242984,162597324,173624579,176333031,165664501,153887860,153887861,141215957,260068728,127857054,259452224,109512668,95258551,95258549,109512664,260068698,101878035,87903911,74300120,61522189,50042526,40022433,31342625,255564865,8340067,5383082,3310238,1947425,1947424,3310236,5383077,6757735,9093499,5949081,4292159,2566168,2566169,4292163,6787917,4255439,4255440,254708583,10336886,6804225,6804223,10336883,15006925,19689314,14116890,14116889,13321071,9101123,5954877,3724011,3724010,5954873,9101115,10329042,6797466,4262332,4262331,6797464,10329103,268197933,28075517,36543275,46404585,258629057,271753327,70727153,58011415,46636768,36750004,28254830,21054101,21054102,28254831,28254960,36746391,36746390,46633584,58008273,61209229,49730658,46638231,36751829,28256817,28256818,28256472,21055598,15124193,10431693,6877257,6877260,10431698,15124212,14912185,268124144,21052043,15121497,15121496,21052041,28252550,28256482,22248281,16110682,11190584,254937324,9362939,13672461,19147952,25793243,33589018,257227249,258436439,259065121 Dl.O(d2) = 112674704,98680276,84753005,71184381,58462401,47084313,269313923,58462401,269006254,28667543,21421140,15430161,10667155,7045082,7045083,10667157,15430166,21421147,21421148,28667553,37188891,47084317,58462404,49154247,256296608,23207235,17125672,17125675,16936484,16936486,23207449,16936475,11853480,7922312,5036635,5036636,7922314,255137885,268423805,39228304,44560966,35182544,27093705,20194659,14489834,14489835,20194661,27093708,35182547,44560970,255001968,46407286,48042811,38129775,38129774,268372084,99721544,269880067,40278942,40278943,43378663,34279967,34279966,39904318,31227497,31227498,39904320,47410682,47410703,37503225,37503226,28960213,23744449,17419317,12277393,12277394,17419326,17419177,17419175,17419264,17418970,17418969,14102148,9699495,6379306,4002359,4002361,6379314,9699516,10656828,10656834,15416596,10656839,10656841,15416617,17733695,17733697,17733685,17733686,12547073,8506298,5506736,5506734,8506290,12547054,16498959,22702575,30084417,30255394,30255393,31594748,31594747,26406907,19672437,19672436,26406903,31088780,23604369,17291388,12170242,8202228,8202230,12170250,17291403,17419283,17419282,23743969,17419082,12277268,12277269,16633898,11603148,7724201,7724200,11603143,16633891,22859692,30254849,31279575,23793716,17461779,17461780,23743877,17418930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10349475, s2 = 8260976, dlinesl.size( ) = 34 s1 = 3880456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3880456, s2 = 12654064, int(edited[s2]) = 0 s1 = 3880456, s2 = 12654064, d1 = 1, d2 = 1 Dl.O(d1) = 139929784,152036071 Dl.O(d2) = 139929784,152036071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3880456, s2 = 12654064, dlinesl.size( ) = 2 s1 = 3880456, s2 = 12654064, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3880456, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 3652303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8667405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8667405, s2 = 9129593, int(edited[s2]) = 0 s1 = 8667405, s2 = 9129593, d1 = 31, d2 = 27 Dl.O(d1) = 261100193,152538221,262654137,183486507,261661460 Dl.O(d2) = 255837788,37240317,256329358,269783825,93370479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8667405, s2 = 9129593, dlinesl.size( ) = 26 s1 = 8545199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8545199, s2 = 2458841, int(edited[s2]) = 0 s1 = 8545199, s2 = 2458841, d1 = 33, d2 = 31 Dl.O(d1) = 86851683,100832575,114882985,128778976,142132582,152669159 Dl.O(d2) = 46303933,257334458,27992707,20828390,14929767,14929768,12325518,10334202,10322603,6791909,4258337,4258336,6791906,10322598,7672382,7672381,11532808,10315527,6847840,5927353,3706280,3706281,5754632,3583495,2135578,2135577,3583490,5754624,8831289,9101201,10338498,6805730,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472348,1472347,2556191,2562593,2562592,2562589,1475692,1475691,2562583,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550945,4266718,6803512,10335994,10307336,255000787,20876956,28044921,36508555,46366805,57716246,70410422,83936652,97795825,111718658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8545199, s2 = 2458841, dlinesl.size( ) = 2 s1 = 8545199, s2 = 2458841, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8545199, Dl.E( ) = 34, 1.79e-05 seconds used appending s1 = 13672353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3403195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8494157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6950830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8488126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8488126, s2 = 3323852, int(edited[s2]) = 0 s1 = 8488126, s2 = 3323852, d1 = 7, d2 = 9 Dl.O(d1) = 267928384,12742860,8659789,5633275,5633272,8659785,12742849,17453387,22724976,23392025,22729345,22729342,22729393,16524013,16524016,18712020,25284985,27275316,254484718,14597136,254295752,6604444,6604446,10050683,10786456,14596362,10043599,6600237,4134905,2473494,1429827,813441,813436,1429812,2473459,4134856,6600159,10043475,10333778,13305109,254438496,25270030,254998472,16260580,16260581,22427338,21841047,21841044,15777664,10929325,7230419,4557130,4557129,7230418,10929324,15777663,21840560,21840559,21841097,21841098,29143957,21846212,15775745,15775744,21846211,254230656,47638007,59039923,71781722,85371019,99315815,113319429,127178993,140525788,153208146,258715310,175759040,185271298,187018276,177742145,167247306,155616178,143065601,129733999,129734000,272520837,125996870,125996869,139347201,125996868,112160713 Dl.O(d2) = 112160714,98799901,84871222,71296869,71296868,84871224,98799902,112792672,126651489,140006817,141553447,134988819,121180158,121180157,121180156,106913358,106913357,106913360,92594778,78547214,65256968,53267224,53267225,65256970,78547218,92594783,106913368,106913367,92594782,92594781,106913365,259106616,148111147,149175001,149175000,135951005,122023454,272053131,106913354,92594775,78547211,65256965,53267223,42814172,33781578,25971234,19304388,13802701,267781866,6372061,3998450,3998449,6372054,9687206,13802699,9465263,6206304,6206303,9465125,13802500,13895363,9535025,6255087,3915723,2343902,1357725,1357724,2343896,3915716,6255079,6206200,3884519,2326031,2326032,3884521,3998379,3998380,6268547,6268548,9553410,9656827,6349975,3984190,3984189,4112321,6564236,9465155,9656848,6349995,3984200,2387865,2387864,3984193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3882954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3882954, s2 = 14743310, int(edited[s2]) = 0 s1 = 3882954, s2 = 14743310, d1 = 42, d2 = 53 Dl.O(d1) = 140013177,140013176 Dl.O(d2) = 217253663,220374524,265629719,225308897,227294727,229029512,229029515,227294730,225308899,225308898,227294729,229029513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3882954, s2 = 14743310, dlinesl.size( ) = 42 s1 = 9524350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6955068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6955068, s2 = 7042274, int(edited[s2]) = 0 s1 = 6955068, s2 = 7042274, d1 = 21, d2 = 41 Dl.O(d1) = 260578013 Dl.O(d2) = 260026649,261751113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6955068, s2 = 7042274, dlinesl.size( ) = 14 s1 = 4088506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8609403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8446035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9208615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4088955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7002596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4089605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8292676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7139220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7139220, s2 = 7005037, int(edited[s2]) = 0 s1 = 7139220, s2 = 7005037, d1 = 67, d2 = 64 Dl.O(d1) = 263110303,262187125 Dl.O(d2) = 261232628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7139220, s2 = 7005037, dlinesl.size( ) = 18 s1 = 4092111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3887283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9350375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6975897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3888357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9416269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3980213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3980213, s2 = 14020167, int(edited[s2]) = 0 s1 = 3980213, s2 = 14020167, d1 = 37, d2 = 122 Dl.O(d1) = 143871369,152901848 Dl.O(d2) = 65081,119173,254143111,2135368,3583191,5754195,8830684,255227987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3980213, s2 = 14020167, dlinesl.size( ) = 38 s1 = 4094729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4094729, s2 = 2059919, int(edited[s2]) = 0 s1 = 4094729, s2 = 2059919, d1 = 22, d2 = 34 Dl.O(d1) = 152903876,140214086,126867717 Dl.O(d2) = 53722205,254460782,79133770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4094729, s2 = 2059919, dlinesl.size( ) = 26 s1 = 7062567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6711230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6711230, s2 = 7502217, int(edited[s2]) = 0 s1 = 6711230, s2 = 7502217, d1 = 19, d2 = 35 Dl.O(d1) = 257600340 Dl.O(d2) = 267129676,267195826,267279776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6711230, s2 = 7502217, dlinesl.size( ) = 16 s1 = 13756411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13756411, s2 = 15534586, int(edited[s2]) = 0 s1 = 13756411, s2 = 15534586, d1 = 30, d2 = 27 Dl.O(d1) = 221831562,218989650,215622731,211549057,206563065,200528664,193381600,185053123,175515652,164765193,152935950,140246490,126899333,126899332,140246489,152935949 Dl.O(d2) = 65151962,78433937,92470214,106776077,121029989,134827975,147947598,160195913,171413486,181432154,190231047,197829362,204302635,209701691,214130176,217766040,220800730,223384877,225618826,227561739,229261455,230764022,232103914,266287693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13756411, s2 = 15534586, dlinesl.size( ) = 8 s1 = 9446488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4096255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9483688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10235192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165354, s2 = 8767139, int(edited[s2]) = 0 s1 = 14165354, s2 = 8767139, d1 = 29, d2 = 17 Dl.O(d1) = 272897662,268109880,10035083,8113812,5198142,5198140,6966427,6966430,7842763,10573285,11043346,8113656,8113652,12066310,10542270,6952568,4368595,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1983059,2623461,1514132,1514133,2623466,4380549,6973048,10571794,15308292,12068877,12068876,15266025,10533575,10533576,13374870,10568840,10545296,10545297,8108270,5194821,5194823,8108278,254977899,6533516,4093750,2449204,2449205,2449195,267871835,52455745,256124654,12230199,8257695,5327280,3274474,1926016,1926017,3274479,5327290,8257711,12230222,11749646,7844852,7844850,11749643,12190735,16585644,11565833,7698122,7698121,7532230,7532231,11334860,254781109,7532003,11334578,16291062,16291063,22459062,255915033,22458985,20067085,255426675,10888775,10888772,255426671,17008902,14364898,255739715,14383375,14383376,20043448,14362339,14362338,14358843,9866454,9866453,8297798,8297797,9887285,6505366,4076506,4076507,6505370,9898338,10895188,14375187,20059738,20038844,20038843,20050288,20061664,17264990,255546049,17452138,12302756,12302755,17448537,17448536,14370730,14370731,10893239,7204101,4538701,4538700,4533063,2724908,2724906,4533057,7195380,7195471,10882737,10811140,7143918,7143917,9868784,14362075,15627661,14358570,9866200,9866199,14358566,14380884,11565751,7698067,7698069,268047535,6501567,6501569,9893740,14388004,10894504,7205158,7205157,10894502,15731117,21661639,20075441,14392949,14392950,15627190,15627189,16373734,11395206,7571258,4788268,2886152,2886151,4788264,254782749,10881587,7194475,4532404,4532405,7194448,9899392,9868993,9868815,6482830,4062330,2431224,2431226,4062364,6482901,4871878,4871880,7697732,11565273,16584912,20040235,14355724,14355725,12216447,12216443,9874119,6486654,4064583,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942259,1706305,1706308,2942310,4882949,5361418,6501303,6501302,9890698,6499208,4072466,4072467,6499213,6481208,6481207,9866335,14358723,14369486,14395959,15725499,14364121,254686177,4063200,2431700,2431699,4063198,6484243,9870681,6487318,6487320,9875120,255324475,21190540,15227555,10503869,6926119,4351037,4351039,6926122,9866893,9866892,9877644,12286919,8297780,8297781,9871179,9871173,9871174,268047723,9898647,14392368,10894181,7204881,4539222,4539220,6486442,6486443,9873875,14358422,255323583,7193782,4531989,2724218,2724219,4074501,4074502,6499549,6479900,6479901,9864651,6488159,4065493,2432869,2432867,4065491,6488153,9876181,255324017,255324019,268047779,9887864,9887863,9896332,7201170,7201171,4537107,4075042,4075043,4533381,2725101,1579143,1579142,2725021,2725019,4053367,4053362,4536380,2726969,1579983,898193,506713,506716,898213,1580022,2726952,2726947,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,506607,897946,897944,1579491,1579641,2726297,2726365,2725691,2725692,2278521,2278522,3803823,6079107,7200411,10888572,14373712,255054389,10888312,7893394,7893395,11815350,16013863,11118233,11118232,9896822,9896823,14388435,9894202,7198301,7198302,10886016,9878428,7198753,4535352,4535353,7198758,260555015,140328562,262079794,262079793,264682035 Dl.O(d2) = 273235214,28352980,21138954,15188140,10476332,6907481,4338400,2597286,1498293,1498297,2597292,4338412,6907503,10476368,15188188,21139024,28353040,36850569,42174991,49210384,49210383,42174434,33215294,33215293,33215732,25468779,21138712,21138713,28352717,36850321,33216303,33216304,33215308,33215309,33216167,33215114,25467921,18867740,13444433,9193479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9732120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3893541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16152213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4284200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6953092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7645942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13642345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4453248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7679063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7679063, s2 = 10885105, int(edited[s2]) = 0 s1 = 7679063, s2 = 10885105, d1 = 20, d2 = 31 Dl.O(d1) = 272241268 Dl.O(d2) = 142466199,129089535,115158712,259462937,73467413,73467414,87085203,73467413,257608171,30787103,23361799,17093053,12006119,8062081,5154690,254570875,5138053,5138051,3130015,1829803,1829802,3130020,3125571,3125570,5139225,8048904,8072665,5166867,5157868,3141375,1837153,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,591308,582904,582899,1034486,1040308,1040309,1822423,3118253,3134986,1832924,1046052,588696,588695,1046050,1832921,1832963,1832962,3103545,1813621,1813620,3103883,3111359,1818144,1038083,1038084,1818150,3111371,3148699,1841980,1051130,591192,591191,1051098,1841742,1841744,3148262,3148265,3148879,3148878,3151421,3151422,5125682,3114738,3114739,3191228,1867696,1867695,3191207,3191208,5229575,5175650,5175649,8076209,8032253,5121643,5121640,8031649,9857506,8031763,5121078,5121018,3111149,1818039,1818037,3111143,5121004,4755218,4755219,7521114,11324950,11982667,8031639,8031640,8037698,5176574,3157820,3157818,5176572,7999621,7999622,8037891,8037890,11986968,11982673,8037591,5127817,5127818,7791640,11684521,11974444,11974445,8037503,5127710,4757856,4757857,5137453,5137454,8031852,8031854,11982892,254804788,23340361,17084103,254804996,5138828,5138829,8048571,8047139,8013088,8013089,11969461,14347463,9857580,9857581,9857603,9857602,7795426,7795428,11689051,7796433,7796434,11690186,16732809,254369790,11679701,7788489,4938019,2979682,2979683,254172000,11680151,16717621,22954287,22957670,22957602,16921713,16668979,11634550,11634551,254101752,29419286,26914946,20031291,16668880,14348283,11686925,9858358,9858357,11673778,7782751,4933115,2976122,2976127,4933131,7750268,6475803,6475802,9858285,11633817,11676183,7784858,4934966,4934967,7784863,11634429,7750709,4908528,4908530,7750720,11634039,11634040,15982034,11095043,11095041,11675857,16717673,16667770,11633550,7750154,4908252,4908251,7750147,7792901,7792900,11686017,16713946,11672161,11672162,11672213,7793736,7793737,11687109,15981901,16667523,11633360,11633358,7750209,7750212,11633651,16286050,11676251,9858249,6475779,4058096,4058097,2958466,2958468,4908347,7750353,11633861,11675971,16717813,16728485,16728483,22964810,16731441,14519527,14519524,16716779,11675009,7784674,7784673,11633464,11634170,11095118,11095120,15982119,16667804,16667806,15982006,15981994,11095017,8047069,5137073,5137072,8047059,11633415,11676541,11676542,11676074,11454615,11454613,11675843,11675842,16667541,16667540,16667794,16667795,11686773,11686774,16667486,11686137,11686138,16668050,16668051,16921688,18891553,16957141,16957139,257028281,60731181,258185266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7679063, s2 = 10885105, dlinesl.size( ) = 30 s1 = 7196835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7196835, s2 = 6907149, int(edited[s2]) = 0 s1 = 7196835, s2 = 6907149, d1 = 10, d2 = 12 Dl.O(d1) = 263879076 Dl.O(d2) = 259961182,61270955,258092716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7196835, s2 = 6907149, dlinesl.size( ) = 14 s1 = 6871785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13712329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6441258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9228671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9228671, s2 = 10973690, int(edited[s2]) = 0 s1 = 9228671, s2 = 10973690, d1 = 18, d2 = 23 Dl.O(d1) = 258817222,100770023,86788988,73176367,60429476,60429477,73176369,257005416,114822293,128722461,129171932,260058274,260518559,139769685,152490022,261780002,142548526,152489905,152489904,260658120,154720526,142081729,128722614,128313061,270869482,260058278,119763102,105529643,105529642,259441432,93410626,79282814,79282813,73176358,73176359,77392628,77392629,91311652,101163190,101163189,98529517,84604974,84604973,84604812,84604813,98529281,105529622,105529624,112524061,101166117,259441442,85442008,85442009,260119643,87877024,87877025,87877069,74274488,74274487,87877067,101850616,112523819,112524023,98529486,98529480,112524012,112524054,112524053,126394318,139769660,141662429,154314675,155192266,259441526,128722575,260658110,260039051,86454429,72858746,72858747,86454433,100411573,114436273,128312933,141662430,154314670,261215583,114436261,101850542,98529252,98529253,112523760,126394043,115897109,114822449,100770199,257586018,99382348,85442011,71857398,71857397,85442009,99382344,271792401 Dl.O(d2) = 126394200,112523918,112523917,101166114,257005412,257005410,101850692,101850693,270869478,105529690,91311679,91311678,105529699,119763169,133633016,128312981,126394244,112524103,258194048,258194050,126394310,112524033,98529494,98529493,100770065,112524021,98529486,98529483,112524017,126394083,112523802,112523801,122241386,122241335,112555640,98562135,84638892,71075938,71075939,84638898,98562143,100770013,100770012,87165120,87165121,91311665,91311646,91311647,105529661,105529693,105529704,105529711,105529712,119763154,114436170,100411482,86454371,86454370,100411477,114436165,112523778,112523779,126394065,133633023,259441492,142081668,152489855,139769433,126394046,126394047,270519278,270519276,84604922,98529440,98529548,98529549,258194050,139769655,152489993,260658162,114436337,114436338,128313006,139769463,126394098,112523812,98529305,259916883,112523884,98529366,98529365,98529375,258817294,73546646,73546647,87165097,93410672,101850711,114436168,100411482,86454371,86454372,260039047,127405950,127405949,115897136,101850733,87877165,74274544,61497413,50019112,50019114,61497373,50019088,40000667,40000669,50019099,61497390,74274501,87877084,100770103,98529501,84604955,71041165,71041163,84604948,79282853,65919630,53852427,43328133,34229799,34229800,39470351,39470349,49398822,258221739,259441486,259739269,259441478,112524033,98529494,98529493,100770065,112524021,98529486,98529483,112524017,126394083,112523802,112523801,122241386,122241335,112555640,98562135,84638892,71075938,71075939,84638898,98562143,100770013,100770012,87165120,87165121,91311665,91311646,91311647,105529661,105529693,105529704,105529711,105529712,119763154,114436170,100411482,86454371,86454372,260039047,127405950,127405949,115897136,101850733,87877165,74274544,61497413,50019112,50019114,61497373,50019088,40000667,40000668,50019093,61497379,74274485,73176387,256460992,72858743,72858744,86454425,98529272,87877172,74274551,61497422,61497373,50019088,40000667,40000669,50019099,61497390,74274501,87877084,100770103,98529501,84604955,71041165,71041163,84604948,79282853,65919630,53852427,43328133,34229799,34229800,39470351,39470349,49398822,258221739,259441486,259739269,259441478 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4102039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3898578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6954287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6954324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355432, s2 = 8296163, int(edited[s2]) = 0 s1 = 10355432, s2 = 8296163, d1 = 14, d2 = 17 Dl.O(d1) = 273712514,263131648 Dl.O(d2) = 99428504,85486962,71901895,59163764,47764839,37842114,29275417,256912589,59163760,71901888,259351559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355432, s2 = 8296163, dlinesl.size( ) = 20 s1 = 14164422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9186535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9186535, s2 = 15270148, int(edited[s2]) = 0 s1 = 9186535, s2 = 15270148, d1 = 17, d2 = 22 Dl.O(d1) = 58557435,256928926,98792069,85503147,71917633,259971225,127306336 Dl.O(d2) = 262693969,174409370,163567858,262619475,165143296,262693969,174409370,174409372,263467779,263714450,184063699,184063698,192519330,199796702,200760726,193656735,185367241,175864837,165143298,153331965,262214047,175864844,262693965,165143289,163567854,151687568,260861364,125645039,125645040,111830315,111830314,125645039,125645040,272369212,163567853,174409364,184063698,192519331,184063701,184063702,263528119,185367244,184063706,174409369,163567857,163567856,174409367,184063703,192519334,199796703,205949224,211036699,215194305,215194306,211036702,205949227,199796707,192519337,192519338,264052190,192519334,199796704,205949226,205949223,205949224,211036698,215194303,211036697,205949223,205949224,211036699,211036700,205949225,205949226,205949223,205949224,211036699,215194305,215194306,211036702,205949227,199796706,192519337,184063707,174409369,163567857,151687569,138983189,125645040,111830315,259021680,46438055,36573236,28101821,28101820,36573234,46438060,57793243,57793244,70493861,57793247,57793246,70493864,70493862,70493863,259259071,111830317,260648243,114567756,260648241,141068917,127718099,113847158,113847159,99831175,85877306,72285253,59551080,48164490,38255182,38255181,48164488,59551077,72285251,256482162,48164493,59551085,48848550,38928444,38928443,48848548,60242253,72978517,67597787,55256234,44408755,44408754,55256237,59638673,59638674,51195904,257722033,51195901,60142490,60142489,72878937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9186535, s2 = 15270148, dlinesl.size( ) = 2 s1 = 9186535, s2 = 15270148, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9186535, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 14165490, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4103929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4103929, s2 = 16125628, int(edited[s2]) = 0 s1 = 4103929, s2 = 16125628, d1 = 58, d2 = 56 Dl.O(d1) = 153334233,272461132,140654984,153334232,140654987 Dl.O(d2) = 218772133,215382276,211280026,206259640,263461850,184613661,175013610,273095909,139586908,126212322,112352321,98369995,84460720,70904360,58191580,46825515,46825514,58191579,70904358,256521252,64620487,52720303,42333175,33351648,33351649,42333177,52720307,52720301,42333173,42333174,36923001,36923002,46801247,58168705,58168722,46801259,36923012,28424479,28424478,36923010,257423231,258032965,84440178,98349923,112333087,126193793,261636495,152298863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4103929, s2 = 16125628, dlinesl.size( ) = 30 s1 = 15054779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10249193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8576250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6511263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6511263, s2 = 10349568, int(edited[s2]) = 0 s1 = 6511263, s2 = 10349568, d1 = 15, d2 = 19 Dl.O(d1) = 255404908,38651095,37111164,37111165,38345906,269813291,140709417,153391071,165194480,272277362,260754168 Dl.O(d2) = 260156734,140709416,127353607,257685654,47800549,37876716,29308045,21980623,15885346,12261520,12261519,15065026,10389012,6846944,5023918,3040929,1770843,1770846,1770521,1770520,1009159,568728,318530,318529,568725,1009144,1770686,3040668,5023466,5408200,8380274,12392497,8383217,254854105,11749170,16802677,23048198,17401314,17401313,15847968,15847969,21935497,23721441,18949819,18949820,18937912,18937911,25550411,23473178,18949536,18949537,25561718,23908646,17567216,12395746,8377113,5406278,5406277,8363059,12376037,255437469,16629978,11600121,7722004,7722002,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376666,8376663,7679671,5403617,3322223,1954080,1116332,1116331,1930116,1930114,3281358,3281336,3281337,5338096,8272896,5409642,5409643,4899001,4899000,7737408,8363671,5398242,5398241,7661636,7661637,11517730,9243148,9243147,13508971,17555143,23738036,24296674,23738068,17413244,12271988,8287074,8287076,12271992,267961606,8623572,8623570,12694031,17575983,16560728,16560727,22776005,17560406,17560388,12389622,12389594,8372562,5403523,5403524,8372564,12389601,17560366,17848273,15210854,15210853,21168559,15465089,15465088,16650400,11618159,11618160,16650402,22878807,23899403,257655947,74356198,259053472,91968933,78042072,64845092,52920138,52920139,273202757,261370837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6511263, s2 = 10349568, dlinesl.size( ) = 10 s1 = 9703932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8587593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9220428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10176422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3113630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3113630, s2 = 16316605, int(edited[s2]) = 0 s1 = 3113630, s2 = 16316605, d1 = 46, d2 = 52 Dl.O(d1) = 98421541,91702711,77775332,72544751,72544752,259054312,257497328,37903156,256917059,270315063 Dl.O(d2) = 114274229,100242822,86278242,72678520,59939068,48546613,38632239,38632238,39697375,31020330,23539196,17231180,17231179,23539194,31020329,28168714,20988457,20988458,255427278,36643968,46511442,57867768,58088190,46716515,36833881,28337165,25459513,18859746,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859781,25459565,33207267,33207405,30733741,23314671,23314670,30733738,30735222,30735223,39331110,30733690,23314621,17051362,11961879,11961878,12799707,12799705,18054864,24476278,30049464,32040510,24476381,22673923,255107025,11480546,16477425,17051437,17052033,23315552,23645806,30735079,30732510,30732509,30732544,23315069,17051685,11962076,8007476,5097598,3094125,3094126,5097602,8007483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3113630, s2 = 16316605, dlinesl.size( ) = 8 s1 = 6954781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6954781, s2 = 14183462, int(edited[s2]) = 0 s1 = 6954781, s2 = 14183462, d1 = 41, d2 = 47 Dl.O(d1) = 260574569 Dl.O(d2) = 7068900,7068902,10556731,13508291,18944906,23428185,18966441,18966440,23587469,17275626,12155216,12155217,17275630,18960882,23968415,17618595,15840773,10977260,7265725,7265727,10977263,12055555,12060291,12382954,13520443,13520442,9258423,9258422,13521261,13527611,11749273,11749272,15278651,13509500,13509502,18946085,15258770,15258771,13490865,13490864,9252161,9252162,8111219,8111217,6563761,6563762,9986616,8383958,5410315,5410314,8116273,9254692,6061121,6061028,6061029,9254548,12066159,12066158,17156048,17156049,12069574,8116169,5199715,5199716,8116287,10549349,10563453,13519596,9251545,9251544,13519593,12062655,8110750,5196295,5196296,5196449,3170523,3170524,5196451,8110964,6954403,6954404,9250959,13518921,9252540,9252541,13520774,18957104,18969178,23714776,17390888,17390889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6954781, s2 = 14183462, dlinesl.size( ) = 12 s1 = 3675749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7216688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15178843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15178843, s2 = 3902785, int(edited[s2]) = 0 s1 = 15178843, s2 = 3902785, d1 = 19, d2 = 14 Dl.O(d1) = 76147540,89955433,89955432,104086456,89955437,76147538,63139819,63139820,76147539,89955439,258946270,132065047,261355232,179418848,188449796,196315034,203041023,273883954,200275057,193099516,184738467,175163346,164373388,152508823,139790813 Dl.O(d2) = 112547585,261098045,139790814,152508826,262652555,184738468,193099518,193703718,185427265,175942762,165239602,153439850,140759782,127404050,113533878,260564484,259345696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15178843, s2 = 3902785, dlinesl.size( ) = 2 s1 = 15178843, s2 = 3902785, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 15178843, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11657758, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3903221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4106965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4106965, s2 = 6754980, int(edited[s2]) = 0 s1 = 4106965, s2 = 6754980, d1 = 7, d2 = 8 Dl.O(d1) = 153460414 Dl.O(d2) = 258110736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4106965, s2 = 6754980, dlinesl.size( ) = 2 s1 = 4106965, s2 = 6754980, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4106965, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 7012984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13516171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4108328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4109583, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4109849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8069285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10206094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355883, s2 = 10341016, int(edited[s2]) = 0 s1 = 10355883, s2 = 10341016, d1 = 15, d2 = 5 Dl.O(d1) = 262159821,163849770,261721674,140894370,140894371,153568646,140894373,127539108,113667603,113667602,127539105,127539101,258754220,85706157,72120986,72120987,259986111,113667597,113667598,127539097,140894364,261173784,165357997,176048352,165357991,153568640,153568639,261173786,127539101,258754220,85706157,72120986,59389643,59389642,72120984,72120988,85706161,258131132,85706154,99654306,113667600,261711499,165357995,272859066,185518536,176048351,165357991,261721672,153568644,140894367,127539104,258754222,99654311,113667605,271336338,261173788,153568651,153568650,165358000,176048357,165357998,153568654,140894380,127539113,113667606 Dl.O(d2) = 48001089,255464610,22960193,16724291,16724290,13659578,9353727,6126738,6126737,9353721,7658388,5475631,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589219,8601182,12665632,17881765,20869436,16514345,16514343,20325571,14586673,10036844,6595950,4132229,4132230,6595955,10036855,11829673,7905685,7905684,11829667,14608560,14608561,16183462,16183461,20352139,27287266,21631379,15600280,15600279,21631374,27289606,254117582,22769489,16555488,11539409,7676979,7676980,11539417,16555506,21983331,21983330,21711858,15669405,10847561,7171268,7171267,10396952,6853506,4301060,4301058,6853501,10295296,6768369,4241928,254481885,10295290,255495397,11558746,7691994,7691995,11558747,16578166,22794815,20084684,20084683,19221847,13730790,13730789,19221844,24543908,24543907,24543908,254887826,254625353,254287895,209274,209276,213779,117860,64493,35503,35501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355883, s2 = 10341016, dlinesl.size( ) = 8 s1 = 8403071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8403071, s2 = 11006998, int(edited[s2]) = 0 s1 = 8403071, s2 = 11006998, d1 = 54, d2 = 0 Dl.O(d1) = 59425190,59425191,72164207,85758944,99713082,113727451 Dl.O(d2) = 17753044,17753042,12589766,8541421,8541425,12589760,12539082,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588861,12586377,8538685,8538683,5598701,5598703,8613383,9410672,13736561,19228705,24101473,17742933,17742934,17705805,17705803,17722576,12622371,8568543,5564159,3447794,3447793,5564139,8568496,8561269,8561271,12612893,8571059,8571058,12625053,17713827,12530604,12530601,17713826,23682001,17361755,17361754,23681999,31170072,31181465,23691746,254283670,25544739,31181537,31181538,39863884,254190930,17478024,17478022,23811897,31297784,24055841,17701558,12520709,8482801,5483655,3374683,3374684,5483657,8482806,12520719,17701570,18863077,13440130,9189779,9189778,6393474,4012234,2404567,1391452,1391447,2404552,4012192,6393388,9718527,14126178,19701435,26440689,27044005,20151473,14455783,9945278,9945277,12599129,8550131,5548773,5548774,8550133,12599133,17798620,17712008,17712009,24067841,31573495,30573195,23155610,23155609,30219000,24068056,18825525,13412784,13412783,268296091,33157828,35364154,27240811,27240810,35364152,40260857,31573779,26442686,26442685,31596060,24092588,17734821,17734822,14127552,254842742,6393861,7961903,7961899,11904235,10898683,7208200,4541766,4541765,7208198,10898689,15736419,10899939,10899938,15738355,18833858,15734575,15734576,10898311,10898314,15735811,21794912,16647027,16194414,16194416,16941831,16941833,21779548,21779549,23793557,17461647,12310106,12310105,17461649,268439407,39954111,49970562,61448245,65099016,65099015,78357024,78357010,65076715,65076714,53092291,42642482,33615561,25815754,25815755,33615563,42642484,53092297,65076728,53092304,42660225,42660227,42642486,42642487,53092281,42660207,33631160,25828974,19176932,13694427,13694426,19176931,25828971,256672795,33631183,42660235,42642451,33615537,33615538,42642453,42642460,42642461,42642441,42642440,53092263,53092268,42642446,42642445,53092266,53092269,42660206,42642427,33615521,33615520,42642426,256066534,50430309,40396925,31704888,24197255,17827987,12635249,8578962,5574136,3457819,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,3458082,2050076,2050075,3458080,5574579,8579728,12636483,17844472,24214926,19819000,14196632,14196634,12633444,8577862,267849313,3457494,5573525,8577871,12633463,17840390,24210548,26397238,26390670,26390669,30692668,23277838,17019533,17019532,17844246,12636302,12636303,17844251,20168447,22202370,19662956,19662955,22648940,17842135,17842134,16041924,16041925,17846251,17846250,17121385,12031956,12031957,14093824,15479384,15479381,21204038,21204042,16457697,11466940,11466939,16457691,22648920,29995411,29995412,31719663,24212446,18292806,12984149,8838932,5760121,5760120,8838920,11417518,16401243,19860782,15239223,15239221,21205284,16419325,16419324,22602516,22363510,16210029,16210028,22363505,29286159,31704898,24197269,24197266,30170851,26384488,20796557,14903676,10247190,6732769,6732768,10247185,14903669,20796551,23180040,20795791,20795793,26628984,22779351,16564019,16564020,22779357,17120784,12031438,12031437,11416839,11416841,16400589,12557446,8513841,8513840,12557439,15158967,10454235,10454236,13017720,13017718,12537390,8498892,5500439,4028591,4028593,6421587,8088964,7732012,7732013,11612228,16644182,13598158,13598157,12030985,8088212,8088211,12030982,17120168,255502910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8403071, s2 = 11006998, dlinesl.size( ) = 42 s1 = 6956191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9506364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3909961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3910188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 294873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702699, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3439279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9484980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7131345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7657867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7657867, s2 = 14973776, int(edited[s2]) = 0 s1 = 7657867, s2 = 14973776, d1 = 10, d2 = 10 Dl.O(d1) = 271335775,141019737,153685849,263150597,264409689 Dl.O(d2) = 271335775,141019737,153685849,263150597,264409689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7657867, s2 = 14973776, dlinesl.size( ) = 2 s1 = 7657867, s2 = 14973776, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7657867, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 14165098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2330060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3754656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8086485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8498067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9738406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9326454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4117268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3443916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8657218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8596270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4098311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4098311, s2 = 255581, int(edited[s2]) = 0 s1 = 4098311, s2 = 255581, d1 = 47, d2 = 49 Dl.O(d1) = 94742239,109022602,260387679,109022617,260980161,109022592,94742232,80664112,80664113,94742233,109022594,109022584,109022583,123247919,137015929,150093392,150093406,150093405,162261814,162261813,173332102,173332099,263019725,173332107,162261820,150093410,137015946,137015947,150093412,162261826,173332111,173332105,173332106,162261835,150093421,150093422,162261781,150093371,137015913,123247905,109022574,109022575,123247908,261543969,123247913,137015924,150093388,151089444,151089443,273313344,137015910,137015911,137015909,261543967,162261773,164345376,152476494,152476495,164345377,175139586,263426861,183162694,173332087,173332088,273495489,184717823,183162685,173332076,173332077,183162686,191759187,194194038,185976224,176550107,165898944,165898943,176550095,176550094,165898936,154134807,154134804,141464863,141464864,154134806,165898934,154134808,141464867,128099128,114210440,114210439,128099127,141464865,154134795,141464854,141464853,154134793,141464850,128099118,114210431,100178093,100178091,112506897,98511885,84586944,84586946,84759220,72615893,72615892,86214366,86214373,100178112,114210458,128099141,141464880,137015982,123247970,109022635,109022636,123247972,128099138,137015994,123247982,260022821,86214386,72615908,59877579,48486073,38572868,38572869,269351377,72615914,86214393,100178136,98547628,98547627,84759157,270810045,86214369,86214370,100178109,114210455,112681404,260553666,59877572,48486067,38572864,30002252,268644541,48486063,59877567,72615887,86214362,84759189,71190417,71190418,84759191,94742271,260387685,114210482,100178134,86214391,72615910,59877580,59877581,72615911,80664120,84759194,71190419,58468529,47090638,37194862,28672648,28672647,37194861,47090636,58468525,47090684,37194899,28672676,21425152,21425151,28672673,37091792,37091793,46974807,37194828,37194827,47090609,47090669,37194887,37194846,28672634,255403247,10669282,7046617,4434933,4434934,7046619,10669285,15433202,21425161,28672624,21425106,255834429,37194831,28672618,21425099,21425098,28672617,26145514,26145515,28672625,37194826,28672613,28672614,21425120,21425111,15433178,15433177,21425127,28672646,36957209,28456840,28456839,29105998,37194823,37194824,256314848,29105987,21807471,15746212,15746213,21807473,29105991,37655471,255825348,58468492,47090617,47090616,58468490,58468494,47090618,37194843,37194844,256853898,47090615,37194840,29105983,21807469,21807468,21807478,21807477,29105997,37655479,37655478,29105989,29105988,37655482,47561405,58944259,71665990,84759143,71190381,71190380,71190364,58468485,58468486,71190368,84759128,71665976,71665977,85231193,98686639,84759159,71190397,58468516,58468517,71190399,84759161,98686642,112681362,113143496,99153467,99153468,113143497,127001141,113143484,113143478,113143479,126544213,112681384 Dl.O(d2) = 1340900,2311223,3857770,3857793,6165224,9409790,9698069,9698071,9698056,6378470,6378472,9398303,6157466,6157465,3853005,2308413,1339317,764940,764939,1339310,2308402,3852994,6157761,6230755,6230739,3900969,3900971,6230746,9499469,13847561,19359744,18795913,13389199,13389198,13824404,13824405,13389221,9153290,9153291,13389226,9411591,6166233,4005583,4005582,6383801,9705220,9452839,9452838,13020181,9534902,9534904,13895247,19421605,255687060,19174889,13692816,13692818,13824721,9481306,6217078,6217077,9481302,13824714,19332743,19825851,26037516,19359767,13847583,9500902,9500901,13849632,13849654,19362634,13849642,13849641,19362640,26041170,33862924,33858830,26037489,25380705,18795966,18795967,19605817,14048407,14048408,19605821,14108926,9705216,9705215,13389275,9411565,9411564,255285917,25380677,25380676,19230185,255692535,17790702,24157880,19669462,14099780,9697843,255307849,25380649,19230213,13737861,13737859,19230211,255315025,9763479,9763478,14099473,14099472,14099821,9697882,9697884,6419166,4027126,4027123,6419157,9763125,9660211,6352493,3985882,3985879,6352482,9409539,9409541,13734946,13737026,19226565,19226563,13738152,13738150,19230498,19226555,14201607,9762551,9762550,14201600,18521428,18521443,25060007,25060008,19353812,13842096,9494978,9494979,13842103,19227177,19227176,25887130,33693867,26198590,25866852,19209023,19209025,255586478,19507388,255231868,6293059,3941637,2359556,2359559,3900411,3900410,3900986,2336360,1354172,1354171,254095008,6207032,6231304,6231305,6238167,6238169,3965509,3965511,6324864,9373717,9373719,9409402,9409398,9481759,9481762,9498381,9554279,9484521,9484523,6319664,3961631,2372881,2372884,3961642,6319681,6329465,3969420,2377928,2307470,1338902,764755,764753,1338895,2307455,3851294,6155216,9395231,13716409,9445149,9445148,13776898,18420312,19205033,13857495,13857498,19372789,14006585,9624267,6322853,6322854,6332755,3972065,254674989,6214088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4098311, s2 = 255581, dlinesl.size( ) = 2 s1 = 4098311, s2 = 255581, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4098311, Dl.E( ) = 52, 3.1e-05 seconds used appending s1 = 4470395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4470395, s2 = 11307320, int(edited[s2]) = 0 s1 = 4470395, s2 = 11307320, d1 = 47, d2 = 49 Dl.O(d1) = 176365452,260671118 Dl.O(d2) = 73365295,259455513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4121156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4121156, s2 = 14165405, int(edited[s2]) = 0 s1 = 4121156, s2 = 14165405, d1 = 6, d2 = 13 Dl.O(d1) = 153969501 Dl.O(d2) = 259409048,100030854,86067490,72468874,59733123,48349027,38446789,29890249,22535670,16361708,11386297,254541384,13293640,15005581,11534080,9300383,6797115,4262130,2548123,1467901,1467904,2548126,2547859,1467745,1467749,2224530,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719827,3719829,5948226,6785886,6785835,6785834,4254059,3465796,2055202,1179056,1179052,2055189,3465766,5586282,5584799,4740955,4740954,7500106,268083544,29777272,38349314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4121156, s2 = 14165405, dlinesl.size( ) = 2 s1 = 4121156, s2 = 14165405, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4121156, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 3919538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3919722, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8454075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10189989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14689369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14689369, s2 = 7023234, int(edited[s2]) = 0 s1 = 14689369, s2 = 7023234, d1 = 7, d2 = 8 Dl.O(d1) = 258793569,100360758,271819191 Dl.O(d2) = 261489616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14689369, s2 = 7023234, dlinesl.size( ) = 8 s1 = 4122147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8803188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8615405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8615405, s2 = 10348829, int(edited[s2]) = 0 s1 = 8615405, s2 = 10348829, d1 = 64, d2 = 76 Dl.O(d1) = 258379705,90887864,260250559,133089264,142070844 Dl.O(d2) = 254506527,2699332,1563745,888969,888968,1563743,2699326,4492918,7136321,10800481,15610642,21642599,28917140,37456463,47362473,257217016,34004477,34004478,43062492,53541670,65566437,260341431,135740778,264903739,265318029,225752852,266069601,266291589,266473631,237107119,274504850,264944014,205961614,211047159,205961612,199810981 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7079452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3921511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8660916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3921865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3921865, s2 = 3391438, int(edited[s2]) = 0 s1 = 3921865, s2 = 3391438, d1 = 9, d2 = 3 Dl.O(d1) = 141416222,154090363,165860018,263169851,194167023,201208695,207136905,211301990,206283714,200213491,193024833,184646336,184646335,193024831,263726662,175053306,164247518,152374816,139654277,126284307 Dl.O(d2) = 184646337,175053306,164247518,152374816,139654277,126284307,112421554,98433188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3921865, s2 = 3391438, dlinesl.size( ) = 2 s1 = 3921865, s2 = 3391438, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3921865, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 7041747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6959027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6959027, s2 = 13804944, int(edited[s2]) = 0 s1 = 6959027, s2 = 13804944, d1 = 26, d2 = 49 Dl.O(d1) = 260621433 Dl.O(d2) = 265000659,212032447,207143989,207143988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6959027, s2 = 13804944, dlinesl.size( ) = 40 s1 = 7125843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7684655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9497830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8472046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248395, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3924175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4309103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8796266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9466993, s2 = 14844396, int(edited[s2]) = 0 s1 = 9466993, s2 = 14844396, d1 = 72, d2 = 56 Dl.O(d1) = 22665868,22665869,30041052,38614926,48530448,59924237,72664653,86265022,100230561,260626505,141506730,262263939,263174989,194214173,201251131,207174621 Dl.O(d2) = 260013799,86081870,86081869,260013800,257537728,269810803,256401205,16190935,16190936,22338738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9466993, s2 = 14844396, dlinesl.size( ) = 2 s1 = 9466993, s2 = 14844396, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9466993, Dl.E( ) = 74, 1.91e-05 seconds used appending s1 = 7092330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7092330, s2 = 13348764, int(edited[s2]) = 0 s1 = 7092330, s2 = 13348764, d1 = 4, d2 = 7 Dl.O(d1) = 224548371,222149943,219356528,216050419,212059902,207175266,201251795,194214772,185999530,262457734,141507296,128148097,114263454,100231291,270507386,72665499,59925234,48531790 Dl.O(d2) = 30042784,22667451,22667452,21737524,15688177,10860447,10860448,15688179,11476950,11476951,11286681,7493490,7493486,4736779,4736777,7493477,11286660,16234654,16472325,16472324,16471733,11476590,11476592,16471738,11477085,11477086,16471957,11476749,7633381,4829351,2910145,2910144,4829346,7633463,4829401,2910175,2910174,4829399,7633563,11477022,11477011,11477010,16472277,22667632,22667398,16472045,16472046,12263707,12263709,17402050,22667827,19853716,19853715,16472060,16472058,22667410,30042758,30042870,22667916,16472532,16472531,22667913,22667001,22667002,19853695,14223755,14223757,19853698,22511005,16337192,16337191,22511002,16472275,11477009,11477008,16472271,19853678,26670127,30042362,25392686,22667610,19853651,14223727,14223726,19853649,26670098,26670157,34662972,30042736,30042735,30042696,30042697,30042935,22667616,22667617,30042834,22667507,22667506,26664817,19849662,14220949,9776562,9776561,14220945,19849653,16992177,11906585,7963790,5066274,5066272,7963784,11906576,255525749,30671306,38616966,38616965,38829661,47834855,37913340,29344308,29344056,22012114,15910596,15910595,22012113,29344055,31071893,31071892,30454923,23046991,23046990,30454921,37913378,29344348,29344347,29343962,22012029,22012028,29343960,37912752,37913464,37913463,47834519,37912817,29343727,22011762,15910225,15910224,22011760,29343723,37912812,47834513,47834510,267971438,37534815,28989995,21706010,21706009,22012406,17276522,12156054,8186453,5255846,5255847,8186456,267739764,16801328,16801329,22012479,29344414,29909696,29909695,29344421,28832830,21562115,21562113,28832825,28832872,254347120,254759418,12286721,8297596,8297597,12286723,17432157,23759670,31244079,39919731,47834217,37912408,37912410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7092330, s2 = 13348764, dlinesl.size( ) = 2 s1 = 7092330, s2 = 13348764, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7092330, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4126009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4126088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8500483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8500483, s2 = 16295565, int(edited[s2]) = 0 s1 = 8500483, s2 = 16295565, d1 = 29, d2 = 32 Dl.O(d1) = 72686402,59947757,48555661,38640856,256971695,59947755,258785219,100248556,114279290,128163022,141521089,154184503,262741257,176590036,176590037,186011492,186011626,176590163,262265159,141521138,141521140,154184570,165943906,176590035,165943803,154184494,141521086,128163018,128163019,141521087 Dl.O(d2) = 186011634,176590166,165943903,154184566,141521138,141521140,154184572,165943912,176590176,186011642,194225308,194225275,186011609,176590144,165943890,154184558,261204587,128163046,141521133,154184557,165943877,154184549,141521130,141521129,154184547,165943874,176590125,186011596,194225204,201261269,194225205,186011531,186011532,194225207,194225194,186011518,262741259,154184510,141521097,128163029,114279294,100248558,86284878,86284879,100248561,260627789,141521110,262265145,141521084,128163015,128163014,141521082,128163023,114279291,114279290,128163022,141521089,154184503,262741257,186011490,186011564,194225240,186011619,176590160,263176285,263920283,207183615,264176786,186011489,274104499,200251531,264464337,263854066,184708489,175128166,164330255,164330254,273528240,184708493,262652102,262649759,184708492,176590036,176590037,186011492,186011626,176590163,262265159,154184564,165943900,263176285,264176784,184708490,175128166,175128165,263094698,272529158,260519186,259298030,268916779,15355090,15379453,20136831,255256012,29293441,25349634,18767799,13364189,13364190,12707866,8634089,8634090,11001338,15872375,267882052,6999539,6999542,9997277,6570379,4115940,2461901,2461900,4115937,6570367,9997256,256758865,55492166,258544553,95355480,260412639,137516641,133501192,133501191,133501196,260255001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8500483, s2 = 16295565, dlinesl.size( ) = 24 s1 = 4126575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7703170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703170, s2 = 4053520, int(edited[s2]) = 0 s1 = 7703170, s2 = 4053520, d1 = 74, d2 = 52 Dl.O(d1) = 273135082,154199638,260629092 Dl.O(d2) = 150530676,162649916,173671146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7703170, s2 = 4053520, dlinesl.size( ) = 8 s1 = 10197335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8455731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8455731, s2 = 11462714, int(edited[s2]) = 0 s1 = 8455731, s2 = 11462714, d1 = 33, d2 = 31 Dl.O(d1) = 39305350,40246897,39500036,255528054,30127118,25302367,25302366,33028584,38153208,38153207,39304592,30706745,23290520,17030909,11945545,7995697,7995696,11945542,17030905,23290513,30706729,39304579,47896994,42713876,33683861,33683862,30536562,23117788,23117787,30536558,39135474,256975424,37265166,268921595,58560213,71292249,269824622,59326858,48614903,38699254,30122016,30122017,38699253,48614901,48614322,38698784,38698783,38702307,30125541,22743136,22743135,30125540,268956459,259413845,114329662 Dl.O(d2) = 186047078,194256951,264124866,186047073,186047074,273055472,261548218,141568289,154229144,165985767,165985762,154229142,263570025,201289201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8455731, s2 = 11462714, dlinesl.size( ) = 30 s1 = 13812955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10153597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10153597, s2 = 10975348, int(edited[s2]) = 0 s1 = 10153597, s2 = 10975348, d1 = 22, d2 = 8 Dl.O(d1) = 30749142,255094012,11969887,254825250,8053172,8053171,11983350,8032453,8032454,5154827,5154828,5147024,3131798,1830830,1830831,3131800,5147028,8056052,11999355,8052359,5143059,3128651,1828979,1043885,1043748,587574,328040,328039,587573,1043746,1043792,588001,588005,1044618,1830287,3130869,5134473,3121692,3121693,5134474,3128434,3128436,5142774,6854991,8045319,5155249,5155250,5126662,5126663,5161007,3144181,1839044,1839045,3133643,254258305,1050243,590777,590776,1050241,1840351,1050257,1050254,1824219,1041302,1041300,1041279,586307,586306,1041276,254256691,5133527,8043032,11990815,11995461,11986486,8037216,5127372,5127375,4678709,2868365,1664757,1664758,2868368,4758814,3190752,3145452,1839909,1839910,1867461,3145327,5162313,8014012,254572335,5172744,5163162,5163161,8065512,8078963,5174027,3155551,2868405,2868406,3114861,1846276,1846279,3114764,3114765,3114800,254257399,254257397,3159325,3152139,3127012,3101605,3101604,4757644,5113406,3148811,3148812,4678942,2818894,2818897,3124241,1834253,1834254,3096508,254380705,5112140,8012793,5143216,3128759,1829047,1829046,3128756,3109866,1817255,1817256,3109879,1833336,1833338,3135643,3188285,1865678,1811603,1811604,3100645,5107103,8018511,5132520,3120325,1823715,1040994,1040993,1823711,3120318,3115367,1820608,1820607,3115365,5126352,3134925,1832885,1046028,1046031,1832864,3107088,4994145,5111079,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,1666104,2870807,3118968,5130765,7529275,5102019,3096952,3096953,3099552,1810972,1034265,1034263,1810966,3099546,5105639,5132528,3131867,1830871,1830872,3131869,5117138,3108198,1816241,1037068,584187,584188,1037070,1037029,1037027,1816165,3108088,5116997,7526364,4759808,2869043,1665124,1665125,2869049,3123105,3123104,3098455,3098454,5104128,267901765,5109148,3102167,1812539,1035065,1035066,1812541,1838978,1838977,3144069,5160881,8052855,8052854,8057896,5149416,3133862,1832183,1832182,3113971,3141322,254383285,1827156,1827157,3125738,3142806,3098553,3098552,5104279,5125992,5111470,3103862,3103861,254567443,7405494,4678475,2818568,2818567,4678472,3190806,1867426,1867427,3190810,3099623,1822115,1822113,2819617,1635804,1635806,2819621,4680014,5127313,5127312,5233419,5124477,3113732,1819567,1038789,585053,585054,1038793,1819575,1843966,1052222,1052221,1843960,3151655,5150539,5227649,3189418,3127304,2866411,2866414,4755883,5105279,5105278,5230180,5149286,3133737,3133734,1837370,1048506,589898,589902,1047363,1047362,1835321,3138688,4680243,5173305,3154909,1846208,1846210,3154199,1845664,1053244,592227,592225,1053237,1845649,254384265,3136230,5129014,3117514,3117513,3158640,5177445,4678997,3105045,3099224,3099225,5105213,8016773,11164321,7405492,7405491,5115342,267902079,7407133,5038514,3050442,1777086,1777084,3050439 Dl.O(d2) = 180939697,189824406,197485100,262476140,189824407,260874558,159476142,260279048,159476144,147102888,133860033,133860034,133860032,133860031,259662430,259035490,77609715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10153597, s2 = 10975348, dlinesl.size( ) = 14 s1 = 14165088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13587517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13481473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13481473, s2 = 10157051, int(edited[s2]) = 0 s1 = 13481473, s2 = 10157051, d1 = 18, d2 = 15 Dl.O(d1) = 100359870,100359871,114383266,128259626,141610011,154265821,141610012,128259630,114383270,100359872,86403674,72808442,256981144,114383267,128259627,128259630,114383270,114383262,114383261,128259620,258794634,128259627,128259630,114383270,100359872,86403674,72808442,60070985,48674780 Dl.O(d2) = 30170132,254364008,16565752,22781302,30170138,25078642,18535434,13170210,8977728,5861127,5861126,8977725,12634885,17267644,12147027,8579450,8579451,8208885,5279899,5279897,8208882,12177113,17298885,17333544,17333542,14197168,9759522,9759524,8087702,5181816,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573746,5573749,8578307,12634201,13421745,13421744,12361193,12361192,16659188,16210438,11268497,11268495,13421738,14085112,9688356,9688354,7911855,7911856,11838598,16915947,18838187,19651562,14096813,9695506,6376643,6376642,9695500,10454902,6891610,6891608,10454896,15160018,16646522,16646520,21481231,21481232,17841187,17841183,18967076,18967075,22782931,16567278,254595898,12028334,8086539,5181161,3161284,3161283,5181157,8086534,8089724,5182869,5182865,8089707,7065434,4448540,4448543,7065374,254735271,254794572,14903457,12557846,8514058,8514057,12557843,17747928,19660400,19660401,23392011,30589818,27049225,27049226,30168629,254799148,14088486,9690328,9690329,14088488,19655163,19653386,14087138,14087139,16916004,11838638,7911874,5029668,5029672,7911901,11838680,11111454,7369511,267963868,267963870,12365037,12365060,17531634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13481473, s2 = 10157051, dlinesl.size( ) = 2 s1 = 13481473, s2 = 10157051, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13481473, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 7636554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10223858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7658446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8194599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8194599, s2 = 13270852, int(edited[s2]) = 0 s1 = 8194599, s2 = 13270852, d1 = 7, d2 = 4 Dl.O(d1) = 46459106,36592934,36592935,46459110,258003848,256814596,268903934,67795241,256814576,49018788,49018787,60422667,60498296,60498297,53240469,48951179,39029032,38772310,38772309,257562817,72827846,259419485,114401192,128276822,141626818,154282294,166034767,176674938,176674937,263573583,201274358,194240611,186028970,176609395,165964425,154206320,261206531,100275017,272704770,114304830,114773273,100724750,258815313,73141572,86748891,73149854,73149853,86760357,98526376,112521110,98526379,84601575,71037403,58321806,256857173,21343339,15368459,10618842,10618841,15368457,21343334,28571409,37074483,46954664,58321800,50390225,257676573,51195782,62845326,75809223,258266332,51195783,62845327,74672063,88297538,260147167,130215347,143541364,143541374,143541375 Dl.O(d2) = 262346230,143541359,156075072,156075083,143541368,130215353,130215343,116380465,102290863,102290862,116380463,102290871,102290872,116380475,130215343,116380465,102290863,102290862,116380463,258803636,101126160,87128044,87128042,87128041,73509182,60760108,60760109,268416770,32471961,32471962,41317798,40628126,255946984,62205386,75028202,85954434,85954433,85954432,72359108,59624359,258761487,259130700,32232204,256197132,8768940,5843309,3646372,2179632,2179630,3646371,5843306,8952499,13135801,18489610,25019839,32703880,41607335,51907591,256197148,59540064,60741594,50227317,40205690,31519384,31519386,40205693,38770600,30187190,30187191,38770602,48692457,60088621,48692467,38770608,30187195,30187194,255578377,17669197,24017845,31519415,268256160,24017834,31519404,254851846,38770598,30187189,23376058,23376059,22797688,16580791,16580793,22797692,30187179,38770583,46819099,36941247,28441793,28441792,31519443,31519407,24017828,24017829,30187171,30187169,38770571,256019022,21912861,15830412,10970357,7261390,7261391,10970358,15830414,21912864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8194599, s2 = 13270852, dlinesl.size( ) = 2 s1 = 8194599, s2 = 13270852, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8194599, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 3929740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3929788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3929788, s2 = 10995494, int(edited[s2]) = 0 s1 = 3929788, s2 = 10995494, d1 = 33, d2 = 31 Dl.O(d1) = 141637746,154292895,166044660,176684056,167552842,155941399,143401794,130072664,116165118,102108299,88121277,74509579,61728242,50249647,40229779,31543475,254863856,17688367,24040208,24040057,17688241,12509976,8474865,5478159,5478160,8474870,11022150,7297342,7297340,11022142,12186613,11113504,11113502,15910736,21000514,15084688,15084356,15084354,10966732,10966735,11113523,7370902,7370901,11113518,16007759,16007748,11113505,7370892,4656405,2805178,2805180,4656409,7370897,11113183,7370641,7370640,11113182,11113112,11113110,16007334,16007756,16007757,12512526,12512529,17691275,22121219,254604248,15814716,10959433,7253947,7253946,10959431,15814713,21892315,24261813,31774081,40468974,50504787,52702834,52702835,60200088,48803656,38881637,30295855 Dl.O(d2) = 22509339,29780564,22415257,22415254,22415255,27035408,20142488,14448253,9939865,9939864,14448251,20142487,27035406,254535210,30199367,22808498,16590994,16590995,267791022,4874329,2937143,2937146,4874345,7701739,11570836,8004540,7112615,4478321,2690745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3929788, s2 = 10995494, dlinesl.size( ) = 2 s1 = 3929788, s2 = 10995494, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3929788, Dl.E( ) = 34, 1.62e-05 seconds used appending s1 = 6960700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6866368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14175957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6960790, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6960790, s2 = 14116027, int(edited[s2]) = 0 s1 = 6960790, s2 = 14116027, d1 = 12, d2 = 7 Dl.O(d1) = 260639971,141669591,154321934,262750686,166063824 Dl.O(d2) = 260039142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6960790, s2 = 14116027, dlinesl.size( ) = 2 s1 = 6960790, s2 = 14116027, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6960790, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 8408413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7080106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7080106, s2 = 15968770, int(edited[s2]) = 0 s1 = 7080106, s2 = 15968770, d1 = 43, d2 = 63 Dl.O(d1) = 262276959 Dl.O(d2) = 254129293,572278,1015264,1780478,3055381,3067374,2713445,2713444,3071273,3071275,5067338,5084185,5067353,5067354,5095113,5094242,5041121,5041120,5088108,3092005,3092002,254377483,3063384,5056451,5084969,3085593,3085594,5086285,3092867,1807179,1032193,581731,581729,1016665,580963,580962,1030943,1786131,3063996,3072935,2714998,1573123,1573121,2714990,1801958,1801961,3069168,3069167,3072304,3072305,3078936,5068593,7966662,7935985,5046481,3314271,1949697,1113805,1113804,1949692,3314263,3080232,1797659,1797662,3080243,1802596,1802594,3070581,3070582,3072222,3090867,3086996,1802555,1802558,3057374,1782023,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799492,1799491,3065991,2580362,2580361,3058290,3077248,1795487,1795485,3060971,5052385,5060140,4767701,3075968,3075965,2714810,1573000,1572999,2714802,1786904,1786906,3065430,1786883,1018885,1018365,1018363,1785878,3063598,1787111,1787110,1787236,3066051,254177064,9776130,8046853,8046852,9243963,7932778,5077450,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,7936502,5046845,3057158,3057156,5046837,7936484,7996127,5090140,3088886,3088889,3081389,1798303,1798302,3081383,5080341,7982375,7935678,5046199,5046198,5050197,3059814,1783773,1017313,1017312,1783769,3059807,5050173,7940782,11878358,15153184,21095957,18822843,16968257,11880243,8203121,5274214,5274213,6153572,3850301,3850305,2980587,2980585,4939384,7790405,7989829,5085338,5085337,7989826,11938355,11897701,7956331,7956330,11897700,11932839,11932654,11932653,13409101,13409102,18821953,16990632,16968266,16968268,16954726,16954727,22969349,17024933,11939945,7991092,7991091,254384892,23276949,23273738,17012747,17012748,17012732,11927183,11927182,11947756,17033107,22348837,29635776,23273379,17012046,11926335,11926336,12013078,8070979,254825269,17099113,16962225,11874194,11874195,16139434,11211665,7439062,7439063,7974076,7974178,7953614,5058714,5058716,5391452,3315293,3315291,5175938,5175941,5091684,3089940,1804756,1804753,3089907,3089906,5091637,7998279,11948502,17028624,11943571,11943572,17028626,16996059,16975660,11898154,7956734,5060860,5060862,7956738,7997894,5091363,3089757,3089760,5091371,7997904,11948139,17033393,16287958,16287959,11931549,11872531,11872532,15669092,10847317,7171071,4516868,2714566,2714567,4516873,7171077,7942252,5050999,5051000,3060217,3060215,5051007,7942272,7979393,7979392,7946276,7946277,7985829,5082449,3082511,1798840,1798843,1794534,1794537,3075839,5053777,5072745,5072747,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7973556,5073904,4935972,4935970,7786044,11677413,16719163,16971018,11895702,7954592,5059423,5059425,7954596,11895706,16982015,17014329,17013504,17013503,16964973,11876853,11876854,11942708,7993532,267902168,17275025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7080106, s2 = 15968770, dlinesl.size( ) = 2 s1 = 7080106, s2 = 15968770, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7080106, Dl.E( ) = 64, 2.1e-05 seconds used appending s1 = 3931793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3931793, s2 = 6796635, int(edited[s2]) = 0 s1 = 3931793, s2 = 6796635, d1 = 9, d2 = 27 Dl.O(d1) = 141687612 Dl.O(d2) = 258625361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9217884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4481879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10336567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6774188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8521038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8521038, s2 = 8328390, int(edited[s2]) = 0 s1 = 8521038, s2 = 8328390, d1 = 20, d2 = 2 Dl.O(d1) = 262003660,166209723,154478687,261470848,141834302 Dl.O(d2) = 114595987,100564345,100564346,270552106,100564341,98793931,84865685,71291422,71291421,84865683,98350447,260505873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8521038, s2 = 8328390, dlinesl.size( ) = 24 s1 = 4135845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163858, s2 = 9450308, int(edited[s2]) = 0 s1 = 14163858, s2 = 9450308, d1 = 49, d2 = 47 Dl.O(d1) = 67568967,67568966,81037477,258281152,38141390,38141389,46481513,36615165,36615164,255193666,66016998,53947033,43420875,34320639,34320638,43420874,53947030,66016997,79385307,66017002,256035304,85777803,72183382,257672194,99731778,99731802,99731801,258903672,102364927,116231532,102171317,88181448,74738979,61944413,50452944,40418461,40418462,50452947 Dl.O(d2) = 73057585,60316486,48917928,38994084,30404808,22999705,16760001,254143142,22856388,21015259,21015260,20847702,14947345,14947346,20847706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163858, s2 = 9450308, dlinesl.size( ) = 18 s1 = 9711162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6604208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3937627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7327887, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7024506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024506, s2 = 6868265, int(edited[s2]) = 0 s1 = 7024506, s2 = 6868265, d1 = 18, d2 = 19 Dl.O(d1) = 261518927 Dl.O(d2) = 259439844,268098128,6528524,4090621,4090622,6528529,9933463,14440374,18583257,13205894,9003441,5877850,3669677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024506, s2 = 6868265, dlinesl.size( ) = 20 s1 = 9712217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9581650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3939032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3939032, s2 = 2199716, int(edited[s2]) = 0 s1 = 3939032, s2 = 2199716, d1 = 30, d2 = 76 Dl.O(d1) = 142087428 Dl.O(d2) = 271756807,72167684,59429026,48036770,48036771,59429024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3939032, s2 = 2199716, dlinesl.size( ) = 20 s1 = 7018473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7018473, s2 = 11101476, int(edited[s2]) = 0 s1 = 7018473, s2 = 11101476, d1 = 74, d2 = 13 Dl.O(d1) = 261425858,143617807,130289784 Dl.O(d2) = 65887226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7018473, s2 = 11101476, dlinesl.size( ) = 26 s1 = 9824772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354498, s2 = 15054782, int(edited[s2]) = 0 s1 = 10354498, s2 = 15054782, d1 = 16, d2 = 27 Dl.O(d1) = 263855927,261977742,10301799,6774068,4246027,4246026,3708819,3604832,3604836,4264567,4264563,6800405,10332314,9077213,5936345,5936347,9077219,254912781,5947234,3719193,3719192,5947233,6849952,10392733,255794545,18989490,13550430,9276332,6076208,6076207,9276329,13550436,9276336,6076208,6076207,9276329,13550436,13550435,9276362,9276361,6236168,6236167,9507983,255293901,26057917,33881837,255344196,14109203,9705443,6383955,4005687 Dl.O(d2) = 11060312,15939087,268398055,22059314,22059315,29381643,29381644,32099201,24523946,18092667,18092668,24523948,29381641,22051467,22051465,29381638,29389491,22058778,22048264,22048263,29378743,37944044,47862831,59258958,59489676,48101250,38189574,29622420,22271124,16129532,16129536,22271132,29301873,29302293,34597936,29373409,22042454,22042453,29373401,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,22029171,29303087,22271248,22271246,26704805,19883607,19883608,25542094,18929462,18929467,18927930,15880782,15880779,16131561,16131116,16131054,16131055,22272949,19791595,19791596,26597505,28811008,28811006,29637461,27973320,20809742,14914169,14914168,16130641,13489605,9229223,9229225,13489612,18922050,19795540,19795538,26601886,22272039,16130269,16130246,11205145,11205146,16130254,15960822,15960825,14173076,14173077,11206453,11206454,11206641,7435868,7435867,11206636,16132361,16131436,11206002,7435504,7435506,6408241,6408242,7435380,7435355,4698358,4698353,4698037,4020399,4020401,6408392,6429276,7094681,7094683,6406869,4019515,4019519,6406886,6887888,6887892,9777705,13491101,13491103,14173553,9743933,9743931,14173544,14179668,13489674,13489675,13493460,9231614,9231615,7435854,4698636,4698634,7435844,11206596,16132300,22274575,26662730,22274645,18842768,18842769,18842762,18842763,14224079,9778448,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,883869,883866,1554532,2683579,4466833,269776600,12739526,12324464,12324462,17480148,255245708,2186483,2186482,3655516,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,6292623,9586456,13961997,19506306,14417699,14417700,20107396,26997972,35082685,254454558,35082103,254664358,15413922,10654787,10654788,8646098,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,5667607,3525647,3525646,5667606,6515892,6515946,9455825,9455628,6199616,3880344,2323743,2323742,3880221,2323684,2323683,3880218,6199387,6146813,6146811,9382721,6199339,5971427,5971428,9125443,10685629,9382741,9382738,13699906,18447520,18447519,18772068,25354296,24348079,24348081,18781615,13376733,9142909,9142911,6516314,6516315,7284922,7284920,11004681,15875771,15875736,15875735,21969149,24966425,20797595,20797596,15412659,254975748,7013865,254225054,866567,488879,274616,152294,83563,83559,152354,152357,152354,152357,152354,152357,152354,152357,152353,152329,152324,275658,490576,870085,1533575,254210096,6267016,255297113,19858466,19877691,19846539,14218631,14218633,13906697,9544268,9544269,13906702,19435145,26130150,33968894,34696815,34696818,43972040,256531384,270295533,260728568,149185243,260946082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354498, s2 = 15054782, dlinesl.size( ) = 12 s1 = 15054781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4487694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4487694, s2 = 10351000, int(edited[s2]) = 0 s1 = 4487694, s2 = 10351000, d1 = 16, d2 = 28 Dl.O(d1) = 177073596,261854594 Dl.O(d2) = 256036284,5022587,3040195,3040197,4365741,4365740,4379058,6946867,6946868,6946415,4365166,4365165,6946410,10532985,10572484,6973545,6973547,10539299,13524062,9255352,6061523,3793443,3793442,6063031,9257413,6952379,6952378,10541976,12060840,12060839,13525551,9256631,6062412,6062411,6065880,3795268,2273312,1318301,1318303,2273322,3794426,2272861,2272858,3794417,3793136,2272085,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404543,5404546,8374277,12391962,13504194,12057571,8106926,8106924,6952067,6944395,6944397,10529693,13508185,255267321,25557764,25557768,18944792,18944791,21248597,15282760,15282758,21248591,255182454,256531418,259287779,258892995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4487694, s2 = 10351000, dlinesl.size( ) = 30 s1 = 8642693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8642693, s2 = 8446658, int(edited[s2]) = 0 s1 = 8642693, s2 = 8446658, d1 = 12, d2 = 11 Dl.O(d1) = 64770670,64770673,77965503,77965507,77965526,77965525,91890374,106085614,111899884,97962369,84088525,84088524,97962367,97962541,84088730,70551875,70551871,259265273 Dl.O(d2) = 97962314,111899812,120285989,106085585,106085584,120285987,125717363,111899870,111899869,125717360,260889886,115864347,101817748,87843287,74237921,74237922,87843290,101817750,115864349,129763831,143094365,155645853,167277343,159676700,159073238,159073239,159676712,147328844,134116964,120285982,106085581,106085582,120285985,261456369,159676714,163633456,174469777,170991522,163633392,151758218,139056298,125717349,123980962,109841453,259183187,269653219,257933857,81605267,95638020,109841442,260108230,114039046,257636958,86048294,100011674,271808443,150660244,137662818,137662820,150660249,162756252,173757411,176392874,185831587,183527465,173757399,162756239,162756238,165728875,165728876,162756233,150660230,137662811,123980945,109841438,95638018,95638019,109841440,261010689,272785695,263041939,153628575,140961872,140961871,153628573,165408990,262329840,176392870,165728878,162756247,162756248,162756250,262801744,185831589,176392873,165728881,153954328,153954330,165728884,166464844,163633393,163633394,174469736,263110268,263110270,200446958,193291736,184954920,175407426,175407425,262709403,153634188,153634189,156101966,156101965,166499776,154793588,142159608,142159607,147073548,133828513,119960958,119960959,260541016,113748592,99734106,99734105,113748590,261166997,140967012,272555937,152936528,152936525,140247286,126900343,113047855,99060469,99060470,113047857,260500474,152936527,272827180,165415253,153634203,260541012,259990485,85780189,85780190,99734108,113748594,127617462,140967014,140967013,153634199,153634200,153634232,140967040,140967042,153634234,165415242,153634187,140966994,127617423,127617424,261715297,165415245,164765680,152936530,140247288,126900345,113047861,99060474,85136207,71566144,71566143,85136205,99060468,99734111,85780194,85780193,72190666,59452744,59452745,72185877,72190657,72190658,85784653,99738450,113752831,99738484,99738483,99738455,99738454,260590815,99738441,258747785,59452736,258124479,85784651,99738448,113752830,127621672,140971495,140967007,127617432,272209145,127621708,140971531,140971530,273716678,153639221,140971528,260590821,113752863,127621703,140971502,127621677,113752836,99738459,271334461,85784674,72190670,59452749,59452748,270320963,101589129,101589128,271850929,142831208,155412228,167052063,177558438,176103477,165420708,153639207,140971518,127621688,113752852,99738472,85784664,72190665,59452743,256934673,38148798,48061595,59452741,72190662,85784659,85784677,72190672,59452751,59452752,72190674,85784679,99738490,113752876,113752840,99738466,99738467,113752843,101589123,87621950,74017764,61237128,257514704,87621953,99355443,85412364,258005460,37761073,37021051,28523183,21301653,21301652,25295050,33021139,255652990,23801492,17468591,17468590,21149436,256300731,46745169,42198363,33237825,28371304,21154305,15198912,15198913,21154307,28371308,22007870,15906848,15906849,22007872,29339312,36867582,36864597,28366487,21150116,15196163,15196162,21150113,21154287,255812135,36863964,28365688,21150240,15196233,15196228,21150222,28366545,25960706,21151718,21151721,27107287,33769601,42801365,53254065,49980011,256517073,23802186,23802188,23218743,23218742,28368467,28370876,21153928,21153929,28370879,28371301,23221105,16948128,16948126,16950355,255524173,15800265,10947708,7244692,254514950,2749391,2749386,2749385,4570812,7248949,10950975,15803954,13619118,267934173,6108716,9325609,256147019,38673912,256200098,23152749,23152748,30570206,39168062,49098203,49098271,42449511,33456324,25684444,256145445,258425611,91893322,271608526,65753424,59456987,256698468,16103488,255429186,1639616,932367,525527,294499,294497,525518,932338,1639500,2825783,4689677,4690109,4690107,7421929,4701923,4701922,7441437,11215139,16143535,258128501,261171105 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4141270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10231294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10228716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10228716, s2 = 8350530, int(edited[s2]) = 0 s1 = 10228716, s2 = 8350530, d1 = 18, d2 = 21 Dl.O(d1) = 262220838,114916893,114916892,128814109,142168857,261705038,142168859,142168854,128814105 Dl.O(d2) = 272238475,128814116,114916896,100866419,86886285,86886283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14956352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14956352, s2 = 9544093, int(edited[s2]) = 0 s1 = 14956352, s2 = 9544093, d1 = 11, d2 = 3 Dl.O(d1) = 261001672,145864931,261001674,136167529,136167528,136167527,136167526,149417297,161708413,172866325,182764928,191416537,272782656,161708416,161708417,172866327,182764931,179804842,169608498,158232816,261001674,261185960,261397393,158232814,260410410,122204870,107799831,107799832,122204873,136167530,149417299,161708417,172866327,182764931,179804842,169608498,158232816,261001674,261185960,118830609,271006603,63549268,268831116,30076700,22695841,16493491,16493492,22695845,18498181,16515117,16515116,14112746,14112747,12570901,12570900,16052950,11146333,11146335,16052955,17764570,12570909,8525213,5523960,5523959,8525208,12570898,17764549,24127493,26365977,19633256,17827171,17827133,12622540,12622541,17171647,17171650,23447204,30877635,39483065,40396151,37481035,28939050,22179434,22179436,29522093,38086328,47998383,48516837,38602070,30028717,255486263,16462310,22654924,30028723,38602078,256398314,22304834,22304835,256329082,23582725,23582724,31066894,39744990,48132529,47998516,38086471,29521976,22179347,16053301,11146536,11146535,16053297,19852180,19852181,26668177,34660597,38086317,47998376,38222598,29656624,29656625,38086463,29521968,29521967,38086459,47998508,49160744,49160743,48516836,42898215,42898216,46604951,36716836,36716835,30462596,268085476,254529002,17700813,17700810,16137395,16137396,22281149,29633270,30003802,31842651,29658832,22306737,22306738,22244268,20784180,14896431,14896427,14896426,20784173,27937442,26243626,19526531,13979583,267940295,3951320,3951318,6305304,9601618,268160977,26243601,34106993,34107000,26243608,268203760,31569240,38791979,38791980,46780445,42658876,42658877,51196117,41040155,32247576,24649145,24649143,19301259,18884803,13457735,9203062,9203061,13457732,16808065,18884786,24705179,24705181,28411046,21189496,15226663,15226662,21189494,26008985,19335106,13826689,9482823,6218131,3891981,3891980,6218129,9482819,13826681,255027743,6977870,6977871,10578138,15315815,21277975,26008970,19335096,19335097,26008971,33826695,39059730,30469060,23059828,16812162,16812163,23059830,28409949,29439477,29439476,38002565,268736414,256398614,18500846,18500848,25034011,24042409,20859396,20859398,26381315,19647050,19647049,22302808,22302807,29654477,255666410,18880747,13454844,13454845,18880751,25483312,21278277,15316008,15316007,21278275,25483507,25483506,28403114,28403113,25483482,25483481,33232091,30062455,22685056,22685055,30062453,24687218,24687217,32298241,256686776,60715400,60715401,55384747,44538480,35161732,27074879,27074878,35161643,27074835,20178871,20178872,27074838,35161652,44538393,55384675,60715542,49313681,49313682,59449095,72187141,73568134,60821005,49420684,49420683,49420830,39491030,39491029,49420861,41226924,32402773,24778889,24778888,29697848,22344153,22344154,29697850,38263632,39490557,49420454,60820878,258810052,62963837,73081784,60341978,48944977,48944978,60341901,52352909,42013505,33069197,33069196,42013499,52352903,64203332,60341935,48944926,39021815,33069192,25339294,18759341,18759340,25339287,33069169,25339279,25339278,33069172,42013476,48112356,51288619,51288620,51288435,51288434,60341908,62963745,51288836,41109144,32298771,32298772,255751060,46950785,257318012,256588541,32298228,41108673,33166824,25424139,18830998,13416668,13416669,18220467,12923447,12923448,12923320,8791283,5726218,5726217,8791282,12923318,18220260,24687452,32298511,24695603,18226516,18226515,24687820,24695227,18226448,18226447,24687880,24687881,18226438,12927850,12927830,8794532,5728562,3566757,3566758,5728567,8794541,12927843,17703263,18226298,12927759,12927760,18226303,18226465,18226466,18226656,18226655,24687639,18220419,12927674,8794440,5728513,254629239,12927676,255620969,18078757,18078758,24507215,32081019,40853016,50987873,256893335,29024393,29024394,32308713,24695628,24695629,18226556,18226555,24695671,32308776,24695794,24695793,32308933,30530411,23112180,16853406,16853407,23112182,30530415,39128865,256463321,30530289,37498386,37498389,28955770,21674866,21674865,28955765,24695796,18226640,12927968,12927965,18226634,24695786,32308916,41121957,51304705,44423974,44423975,39128901,257007705,60462469,60462449,49058848,39128878,30530427,23112193,22077029,15971211,15971210,22077028,29407758,37971657,256469274,44423966,35049258,26968172,26968173,35049263,32308446,32308447,41121546,48432089,48432088,47405826,47405825,44424002,35049298,26968199,20082923,20082922,26968196,35049292,44423995,46624611,55271205,44423987,35049281,35049282,44423989,257014006,78386734,78386733,65103031,53116303,42664288,42664287,42664289,53116306,65103036,58655743,48281808,48281807,59669365,259390061,113982463,114923390,128820523,142175114,154808904,166514873,177095536,262942395,261450665,120175508,105975273,91780863,77858312,64668405,64668404,64668409,52753457,42354091,33365385,25600976,18988923,268027721,254448533,2277160,1320544,1320546,2277164,3801727,6076050,5877853,3669688,3669689,5877897,9004031,13208613,18587120,25142171,32846363,41766850,52080404,63899001,77009964,90889217,259440356,133090911,146318220,261779010,180206873,189145712,184536403,184536404,192929166,184536405,262347592,164101134,174925607,184536406,174925609,164101135,152213341,139483866,126112038,112255821,98275880,259514134,126112040,118598042,257076242,76430557,76430556,63386771,51644054,41403429,32545636,32545635,24896704,18394458,13065296,8902915,8902916,13065297,18394460,24896707,32545640,41403433,51644056,63386775,64734698,64734695,256663686,52819068,42755927,33726443,25919765 Dl.O(d2) = 3745828,3855632,6162022,9405176,13729278,13884469,19407488,26096773,254630448,255227284,13885851,13885850,13886193,12703503,8630779,8630778,9600953,9600955,255710349,34106467,43192148,257853051,65760956,79117226,87096262,87096260,87096261,93234129,93234128,107637852,122012904,135941074,149165566,161452787,172629853,182557099,191238638,184329230,184329231,174712070,163900746,152036360,139329105,125976965,112139786,98177065,84280843,70728580,257411709,36752419,36752418,46638739,58012960,270281207,98177059,112139784,114721296,114721295,128617980,141977527,140580588,127235132,113377340,99376745,85435397,71849853,71849854,85435399,99376750,85832179,72240137,258751797,72240140,59505266,48117390,48117389,48117391,38206564,29640068,22288662,16144949,11216401,11216402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14956352, s2 = 9544093, dlinesl.size( ) = 2 s1 = 14956352, s2 = 9544093, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14956352, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 7106920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9468491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9468491, s2 = 16298084, int(edited[s2]) = 0 s1 = 9468491, s2 = 16298084, d1 = 0, d2 = 0 Dl.O(d1) = 2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884648,1886905,1883084,1883086,254392071,8189140,12158549,268250409,25274909,18702529,18702530,25274913,32999544,41940768,33075130,25345013,18764194,18764193,17516306,15197541,10482282,10482281,15197540,21152326,23676322,17516485,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153142,28370063,36867180,36866190,36864690,28366602,28366601,28433575,36932352,39846991,39846992,33769643,25960739,25960738,33769640,255879527,268080929,11028485,15907005,15197878,15197879,21152809,255382945,15196820,21151207,23802478,28369903,21153002,21153007,21151441,15196968,15196969,21151446,15198421,10482726,6911239,6911240,10482729,8254946,8254947,12226545,17355894,268436931,23220188,23220189,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,5368150,5368147,5368214,8318809,8319142,8318804,8318805,8318833,5368075,5368076,8318898,12315813,11859672,7926301,5038894,3050695,3050693,5038888,7926288,11859648,7926880,5039156,5039155,7926876,11860760,16946885,23217991,23217992,30641287,39239231,49165833,60565295,73308508,259451103,114951714,128852197,142209948,154845701,166550133,177127296,186477728,194626942,192587077,184140143,174495591,163662510,151787621,260106902 Dl.O(d2) = 2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884648,1886905,1883084,1883086,254392071,8189140,12158549,268250409,25274909,18702529,18702530,25274913,32999544,41940768,33075130,25345013,18764194,18764193,17516306,15197541,10482282,10482281,15197540,21152326,23676322,17516485,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153142,28370063,36867180,36866190,36864690,28366602,28366601,28433575,36932352,39846991,39846992,33769643,25960739,25960738,33769640,255879527,268080929,11028485,15907005,15197878,15197879,21152809,255382945,15196820,21151207,23802478,28369903,21153002,21153007,21151441,15196968,15196969,21151446,15198421,10482726,6911239,6911240,10482729,8254946,8254947,12226545,17355894,268436931,23220188,23220189,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,5368150,5368147,5368214,8318809,8319142,8318804,8318805,8318833,5368075,5368076,8318898,12315813,11859672,7926301,5038894,3050695,3050693,5038888,7926288,11859648,7926880,5039156,5039155,7926876,11860760,16946885,23217991,23217992,30641287,39239231,49165833,60565295,73308508,259451103,114951714,128852197,142209948,154845701,166550133,177127296,186477728,194626942,192587077,184140143,174495591,163662510,151787621,260106902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9468491, s2 = 16298084, dlinesl.size( ) = 2 s1 = 9468491, s2 = 16298084, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9468491, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 4459317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4143318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10238838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4143910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3945222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8546166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7703847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7047712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3946969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3946969, s2 = 6979733, int(edited[s2]) = 0 s1 = 3946969, s2 = 6979733, d1 = 3, d2 = 10 Dl.O(d1) = 142433231 Dl.O(d2) = 260890078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3946969, s2 = 6979733, dlinesl.size( ) = 10 s1 = 4146891, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3948364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7888085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7888085, s2 = 11401084, int(edited[s2]) = 0 s1 = 7888085, s2 = 11401084, d1 = 21, d2 = 25 Dl.O(d1) = 29225457,21909622,15828000,10968697,256365789,39419212,256415203,255926426,24730741,18257850,18257849,24730739,24775389,32398711,30816656,23387192,23387191,30007835,22637477,16449143,12027427,8085976,5180860,3161118,1850576,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486975,15204033,15204021,10486979,6914375,6914376,10486980,15204049,19877930,14242236,14242235,19877927,23385693,23385694,30814874,260680589,142505197 Dl.O(d2) = 265393582,264764464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7888085, s2 = 11401084, dlinesl.size( ) = 26 s1 = 16268168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9038681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9038681, s2 = 3949780, int(edited[s2]) = 0 s1 = 9038681, s2 = 3949780, d1 = 11, d2 = 13 Dl.O(d1) = 261947371,263217741,166867881,155176138,262826056 Dl.O(d2) = 142532930,263605429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8565020, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7083348, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3951695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8547555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4151881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4151881, s2 = 3490830, int(edited[s2]) = 0 s1 = 4151881, s2 = 3490830, d1 = 6, d2 = 18 Dl.O(d1) = 155376160,155376161 Dl.O(d2) = 142788784,129467349,115582242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4151881, s2 = 3490830, dlinesl.size( ) = 2 s1 = 4151881, s2 = 3490830, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4151881, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 3953414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3953414, s2 = 11561455, int(edited[s2]) = 0 s1 = 3953414, s2 = 11561455, d1 = 0, d2 = 13 Dl.O(d1) = 142797954 Dl.O(d2) = 231624853,232879928,234016457,235052028,235994427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3953414, s2 = 11561455, dlinesl.size( ) = 2 s1 = 3953414, s2 = 11561455, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3953414, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 7083696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7083696, s2 = 14024354, int(edited[s2]) = 0 s1 = 7083696, s2 = 14024354, d1 = 4, d2 = 8 Dl.O(d1) = 262322565 Dl.O(d2) = 267993173,254833763,12134431,17254193,17254163,17254164,23565531,31049946,39728793,39728698,31049833,23565432,17254103,17254104,17485856,23822244,31310999,36845129,28347713,28347714,36845131,36939828,31726772,31726771,25617174,25617173,32227953,32227954,33860418,40111985,38082595,29518046,22175942,16050831,11144873,7392192,4670183,2813710,1632406,928320,523234,523232,928317,1632400,2813695,4670153,7392129,11144756,8164516,5234351,3194782,3194781,5234349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7083696, s2 = 14024354, dlinesl.size( ) = 2 s1 = 7083696, s2 = 14024354, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7083696, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 8310493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3954890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9499871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4334982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7290359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7290359, s2 = 11356788, int(edited[s2]) = 0 s1 = 7290359, s2 = 11356788, d1 = 18, d2 = 22 Dl.O(d1) = 265033361,212535599,273274054 Dl.O(d2) = 270585160,257255262,17313417,12189013,8219429,8219430,12189018,15877544,13278843,9063312,9063313,13278846,18670761,25240494,32961997,41900367,43262632,43262631,53778435,64588416,259669391,260880507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7290359, s2 = 11356788, dlinesl.size( ) = 26 s1 = 14655144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14655144, s2 = 7702602, int(edited[s2]) = 0 s1 = 14655144, s2 = 7702602, d1 = 7, d2 = 7 Dl.O(d1) = 260606192,113725142,260105182,59423193,259988375,261165011,273120604 Dl.O(d2) = 260606192,113725142,260105182,59423193,259988375,261165011,273120604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14655144, s2 = 7702602, dlinesl.size( ) = 2 s1 = 14655144, s2 = 7702602, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14655144, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7041296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4154398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350300, s2 = 7148907, int(edited[s2]) = 0 s1 = 10350300, s2 = 7148907, d1 = 11, d2 = 11 Dl.O(d1) = 257051373,61303995,260702885,142911253,155488289,167121787,167121782,263228958,79263389,259107165 Dl.O(d2) = 257051373,61303995,260702885,142911253,155488289,167121787,167121782,263228958,79263389,259107165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350300, s2 = 7148907, dlinesl.size( ) = 2 s1 = 10350300, s2 = 7148907, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10350300, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 13737865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7147877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7147877, s2 = 14164889, int(edited[s2]) = 0 s1 = 7147877, s2 = 14164889, d1 = 16, d2 = 23 Dl.O(d1) = 263215454 Dl.O(d2) = 143030673,261925694,129699538,260223010,258979820,256599332,23732931,17408377,17408378,13181783,8985335,8985334,13181781,18552078,25100599,32802385,41722497,46470248,36603477,36603478,256405718,31674955,36815306,42254996,33275450,33275449,30034068,30034066,29532871,22189953,22189952,22658970,16465131,16465132,16465084,16465079,16465078,268231317,30033971,38608211,48523611,38608086,30033878,22658894,22658893,30033877,30033986,38608229,257550255,42455598,33462609,33462611,42455602,42259459,33279736,25519545,18909902,13478435,13478436,18909904,25519546,33279738,42259462,256396740,72216044,64539521,52640419,42255016,42255017,34611493,26622594,26622593,34611490,43882639,38608268,30034021,30034022,38608271,255900278,48523824,59917398,48523804,38608294,30034052,22659029,22659028,30034050,22659060,22659061,30034088,38608340,48523844,59917416,72657444,64779171,64779173,77973822,72238471,59503420,52645073,52645074,59503437,58197322,46831288,36953179,28452816,21225953,255818343,36953174,46831279,58197308,70910014,84466252,86257951,86257952,85809831,85809832,83871415,70346153,59479019,48089534,48089535,59479021,48115617,38204797,38204798,40453194,50489240,59503422,59503423,72238474,70910021,70910022,70910045,70397262,58549490,58549489,71280818,58549484,58549482,57655625,57655624,70346150,83871412,70910010,70910011,84466248,258751648,112357230,98375315,84466301,70910072,58197357,58197358,70910074,84466305,86429618,72835176,60098604,60098605,72835179,86429622,100385059,257107982,62069928,50577729,40541620,40541621,48702826,38780358,38780359,48702829,60098603,48702834,48702833,60098612,72835184,86429628,74868199,74868200,88504329,102512336,88504249,74868097,62069798,62069799,256051816,74868254,62069971,50577760,40541641,40541640,39337326,30738628,23318473,17053976,17053975,255206938,39337321,49263686,60664950,55247848,55247847,55247841,44399836,44399837,55247842,67589597,269575230,259548416,67587125,55245453,50577773,40541649,40541648,257691221,55247830,257131578,76140839,81047495,73361447,60616565,49215818,42801981,256305606,13795901,13795902,19295967,25961221,268279987,18306396,24788812,32413842,41239048,51436996,51436970,256596579,32413820,41239023,51436968,51437061,41239122,32413915,32413912,36879760,46758570,46407507,36545971,36496087,28033383,28033384,32413921,32413922,39979929,256283821,256051818,20951751,20951750,28129604,20951728,20951729,28129605,20951782,15042959,10370182,10370183,15042962,20951787,28129652,28129641,20951772,20910118,15004981,10335081,6802679,6802680,10335083,15004986,15053341,20944552,18707213,14971179,14971181,13288515,9071408,5931996,5931997,5932652,4290830,2565619,1477366,1477367,2565672,4291331,5765712,3591302,3591301,254897025,18306381,256084669,32413853,32413854,41239065,46470233,51437030,41239098,41239087,36614836,30779140,30779139,39380898,49308696,60710966,256115824,60646480,256630756,52829395,60377332,48980465,39057818,39057819,48980467,60377335,73117405,70507923,58215423,46847429,42425163,42425164,269515229,58836465,71563663,78259663,73315679,60572852,49174019,39248865,257016721,39400613,30797447,23370891,23370892,256395385,22265537,22265536,29616807,38184053,48095695,46450824,46450823,57708739,46359563,46359562,37542228,37542230,46359564,36501531,28038279,21857187,15785256,10935541,10935542,15785258,21712239,15669799,10847918,7171552,7171551,7235596,10935578,10935560,7235582,4561312,4561313,4561332,2743042,1589708,1589707,2743039,4561326,7235605,10935592,15785310,21857258,29166346,21857259,15785528,10935750,255058787,15785448,254752113,7235678,10935697,15785447,10935693,10935692,15785445,21857393,29166483,37726489,29166710,21857570,15785557,15785556,21857295,15785343,15785345,15785546,15785545,21857554,29166666,29166667,21857564,255866513,29166717,29166716,37726727,47648644,59049702,47648423,37726479,29166472,29166470,29166727,29166728,37726739,47648518,59049657,59049656,64431046,255632546,42197279,47648341,47648342,59049654,71791058,71791082,71791084,71791232,59049904,59049878,59049877,59049898,270310857,257744868,35036804,26956806,26956804,35036800,29166650,21857537,268724836,37726688,269054378,88108084,258358716,257157256,58561488,47172490,47172491,50101603,40080977,40080978,49787273,61266256,258061952,72460369,59724561,59724562,72460371,258061966,256871360,51661391,41419663,256871358,30798936,255139318,12018383,17103800,23372446,30798944,39402163,48523681,59917292,60674655,60674656,60674632,49274196,47838342,37917221,37917222,257818373,78274027,70513789,57812400,57812399,47838317,47838318,257771665,32996652,256663421,52872140,52872126,42468327,42468326,256146899,19075496,19075497,25701696,33474896,36534601,36534603,33474915,25701712,255280499,9358442,13665681,19138207,20871820,14969571,14969572,255787055,19138190,13665673,255280497,18709341,19138180,22656435,16463410,11470943,11470942,16100099,16100098,255648809,13290465,9073139,9073141,13290468,18683390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7147877, s2 = 14164889, dlinesl.size( ) = 28 s1 = 7669731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7669731, s2 = 6509295, int(edited[s2]) = 0 s1 = 7669731, s2 = 6509295, d1 = 74, d2 = 95 Dl.O(d1) = 271841858,143031061 Dl.O(d2) = 255019741,4347014,6919511,255019739,255384431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7669731, s2 = 6509295, dlinesl.size( ) = 28 s1 = 13649923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8548873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8548873, s2 = 11658641, int(edited[s2]) = 0 s1 = 8548873, s2 = 11658641, d1 = 8, d2 = 16 Dl.O(d1) = 84066852,70530357,57828735,257401135,36606396,256894966,23755920,17429301,17429303,23755922,31239610,35182575,35182574,44560998,256764984,31240310,257642065,49933905,61412359,74191251,260112715 Dl.O(d2) = 143042090,143042086,129711490,129711489,143042084,143042086,129711490,260112713,101767153,115812887,129711491,261825565,155592078,273158955,177721166,177125462,261941666,142208080,128850250,114949631,100896817,86916011,73305490,60561685,49161884,39235215,30637287,23214261,23214260,30637285,39235213,49161882,60561683,73305489,268761272,256158350,257232982,85890867,99845601,113863277,127736433,141089950,153759631,165539394,262502152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8548873, s2 = 11658641, dlinesl.size( ) = 8 s1 = 13681897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8415413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1256081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8549040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8549040, s2 = 2991471, int(edited[s2]) = 0 s1 = 8549040, s2 = 2991471, d1 = 23, d2 = 23 Dl.O(d1) = 260712013,143068736,261285162,87820067,271390618,129737684,260115200,260115203,261285171,128596866,259643354,73078127,86682449,88167755,90448535,268487268,118788675,257774268,115764964,129661953,116220431,102158893,88167751,270910455,87078049,73460872,258279933,61768717,257774272,74552585,88167776,74552565,74552566,259526517,109343296,260393129,122285192,107871892,93444131,93444130,93444116,79313321,269577495,43357789,43357791,53882215,65949204,65949208,79313334,93444141,107871907,100208687,100208688,114243170,128130210,123535015,109343295,102158921,93444144,93444143,107871909,95089145,95089146,109343299,114243134,100208656,86240350,72637668,59895836,48502069,38587195,38587194,48502066,59895831,67561765,72637688,257599970,256844776,44367096,55218202,67561766,77293494,64144429,52292213,52292214,49310884,49310885,60712940,52292204,257019432,64144424,52292210,52292211,41951424,33233641,33009051,33009052,41951428,52292317,64144538,77293561,70989379,70989378,77594883,64426233,258190372,257002282,33233633,42193699,52552240,62949100,51274693,41096590,41096589,51274690,60609880,73354864,64144516,64144515,52292343,41951451,33009069,33009070,41951454,52292346,60609814,73354814,60712933,60712934,64144555,52292329,52292328,64144533,52292313,41951426,33009050,25283970,18711065,18711067,25283976,255973428,33009013,41951363,49209255,60609795,73354804,73460853,64144510,52292293,52292294,64144503,52292276,41951408,41951407,52292273,60712930,49310877,41951460,41951461,52292353,64144447,52292339,52292338,257599978,91213783,77293532,64144492,52292270,52292266,52292264,52292263,64144488,257019426,41951312,33008990,25283980,25283981,33009058,41951435,52292232,64144453,77293471,78901176,93011074,93011075,260071344,118600656,105436065,91213774,81622559,68132779,68132777,77293568,77293567,77293461,64144383,257599956,72037957,64144372,52292150,52292149,64144367,77293450,85626240,99576529,90264779,87975575,87975573,101947601,87975545,74373841,61597574,61597575,74373845,78901163,65566204,65566205,78901167,93011068,101947582,87975528,74373802,74373803,259512761,87975565,87975564,101947616,259799850,87975552,87975553,90264785,76434312,63390646,63390647,76434314,74373826,74373827,87975548,101947597,101947598,92594119,78546541,65256185,65256186,77569361,77569360,91500458,95348729,89746567,75967183,62984490,62984491,74373819,61597560,61597559,58738383,50117885,50117886,50117888,61597602,258779564,51647927,51647926,63390625,76434289,259512759,101947580,101947579,101947566,87975494,84776178,84776177,74373865,61597604,61597607,74373870,87975589,76434286,76434285,85039984,76434296,63390633,51647929,51647928,63390629,61597529,61597530,74373775,87975506,90264771,95233099,81177454,74373761,74373760,85040008,71468077,58738393,47350752,37444149,28904831,21630522,21630523,28904834,37444156,37210286,37210287,47107043,47107261,37210420,28686154,28686155,37210422,47107083,47107080,37210277,28686055,28686054,37210275,47107078,47107351,37210500,37210499,257446755,47107111,47107130,37210477,37210436,256867301,47107386,47107385,58485489,58485494,58485526,47107330,47107329,58485523,71207306,71207199,71207198,78644282,65342161,65342162,74552985,61769382,50289675,44018967,34724412,26717746,26717747,26634445,26634446,34623722,43895559,34623761,26634468,26634469,34623763,33834575,26015634,26015633,33834570,42877333,43895438,34623622,26634384,26634385,26015621,19340764,13831739,9487077,9487078,13831742,19340770,26015625,19822919,19822918,256200545,42877334,42877336,50289704,50289703,53340921,42877361,33834588,33834586,42877358,34623738,34623737,40268120,40268119,43895460,50156690,255433854,31453548,29567517,22221316,16088928,16088929,12535752,8497416,268002453,11174349,16088925,22221311,26015653,26634409,19822866,14199532,9761029,6417768,4026159,4026160,6417772,9761047,14199563,19822929,26634510,34623815,42877365,33834598,26634483,26634481,34623783,43895612,54638490,59438939,53340822,42877273,33834532,33834531,33834594,26634502,26634499,34623649,26634398,26634397,34623641,40134306,31453555,23959973,23959972,29567510,22221314,16088927,16088896,16088897,16088920,11174346,7413820,7413819,11174342,16088916,22221298,22221299,26634382,19822846,14199524,9761023,9761022,9761035,9761033,14199537,19822879,26634433,31581190,38133542,29567479,29567480,34623637,34623638,43895458,48046982,48046976,48046977,48047020,48047019,53340813,43895475,34623653,26634402,26634403,34623659,43895483,54638390,59438890,61640185,50156702,40134316,31453559,29567463,22221280,16088900,11174334,11174335,16088909,16088919,16088918,22221305,29567492,38133551,29567488,29567487,34623611,26634376,26634377,34623616,43895434,54638342,50289319,40268128,31581193,24075647,24075648,31581198,29567452,29567453,38133505,48046934,48046940,38133562,29567494,29567495,38133565,38133592,43895514,34623690,26634420,26634419,34623684,43895509,48046970,59438894,72177457,74421772,61640178,50156698,40134310,38133518,38133517,38133526,29567473,22221286,22221287,29567477,29567501,29567500,34623660,268385738,26968928,350501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Dl.O(d2) = 260712013,143068736,261285162,87820067,271390618,129737684,260115200,260115203,261285171,128596866,259643354,73078127,86682449,88167755,90448535,268487268,118788675,257774268,115764964,129661953,116220431,102158893,88167751,270910455,87078049,73460872,258279933,61768717,257774272,74552585,88167776,74552565,74552566,259526517,109343296,260393129,122285192,107871892,93444131,93444130,93444116,79313321,269577495,43357789,43357791,53882215,65949204,65949208,79313334,93444141,107871907,100208687,100208688,114243170,128130210,123535015,109343295,102158921,93444144,93444143,107871909,95089145,95089146,109343299,114243134,100208656,86240350,72637668,59895836,48502069,38587195,38587194,48502066,59895831,67561765,72637688,257599970,256844776,44367096,55218202,67561766,77293494,64144429,52292213,52292214,49310884,49310885,60712940,52292204,257019432,64144424,52292210,52292211,41951424,33233641,33009051,33009052,41951428,52292317,64144538,77293561,70989379,70989378,77594883,64426233,258190372,257002282,33233633,42193699,52552240,62949100,51274693,41096590,41096589,51274690,60609880,73354864,64144516,64144515,52292343,41951451,33009069,33009070,41951454,52292346,60609814,73354814,60712933,60712934,64144555,52292329,52292328,64144533,52292313,41951426,33009050,25283970,18711065,18711067,25283976,255973428,33009013,41951363,49209255,60609795,73354804,73460853,64144510,52292293,52292294,64144503,52292276,41951408,41951407,52292273,60712930,49310877,41951460,41951461,52292353,64144447,52292339,52292338,257599978,91213783,77293532,64144492,52292270,52292266,52292264,52292263,64144488,257019426,41951312,33008990,25283980,25283981,33009058,41951435,52292232,64144453,77293471,78901176,93011074,93011075,260071344,118600656,105436065,91213774,81622559,68132779,68132777,77293568,77293567,77293461,64144383,257599956,72037957,64144372,52292150,52292149,64144367,77293450,85626240,99576529,90264779,87975575,87975573,101947601,87975545,74373841,61597574,61597575,74373845,78901163,65566204,65566205,78901167,93011068,101947582,87975528,74373802,74373803,259512761,87975565,87975564,101947616,259799850,87975552,87975553,90264785,76434312,63390646,63390647,76434314,74373826,74373827,87975548,101947597,101947598,92594119,78546541,65256185,65256186,77569361,77569360,91500458,95348729,89746567,75967183,62984490,62984491,74373819,61597560,61597559,58738383,50117885,50117886,50117888,61597602,258779564,51647927,51647926,63390625,76434289,259512759,101947580,101947579,101947566,87975494,84776178,84776177,74373865,61597604,61597607,74373870,87975589,76434286,76434285,85039984,76434296,63390633,51647929,51647928,63390629,61597529,61597530,74373775,87975506,90264771,95233099,81177454,74373761,74373760,85040008,71468077,58738393,47350752,37444149,28904831,21630522,21630523,28904834,37444156,37210286,37210287,47107043,47107261,37210420,28686154,28686155,37210422,47107083,47107080,37210277,28686055,28686054,37210275,47107078,47107351,37210500,37210499,257446755,47107111,47107130,37210477,37210436,256867301,47107386,47107385,58485489,58485494,58485526,47107330,47107329,58485523,71207306,71207199,71207198,78644282,65342161,65342162,74552985,61769382,50289675,44018967,34724412,26717746,26717747,26634445,26634446,34623722,43895559,34623761,26634468,26634469,34623763,33834575,26015634,26015633,33834570,42877333,43895438,34623622,26634384,26634385,26015621,19340764,13831739,9487077,9487078,13831742,19340770,26015625,19822919,19822918,256200545,42877334,42877336,50289704,50289703,53340921,42877361,33834588,33834586,42877358,34623738,34623737,40268120,40268119,43895460,50156690,255433854,31453548,29567517,22221316,16088928,16088929,12535752,8497416,268002453,11174349,16088925,22221311,26015653,26634409,19822866,14199532,9761029,6417768,4026159,4026160,6417772,9761047,14199563,19822929,26634510,34623815,42877365,33834598,26634483,26634481,34623783,43895612,54638490,59438939,53340822,42877273,33834532,33834531,33834594,26634502,26634499,34623649,26634398,26634397,34623641,40134306,31453555,23959973,23959972,29567510,22221314,16088927,16088896,16088897,16088920,11174346,7413820,7413819,11174342,16088916,22221298,22221299,26634382,19822846,14199524,9761023,9761022,9761035,9761033,14199537,19822879,26634433,31581190,38133542,29567479,29567480,34623637,34623638,43895458,48046982,48046976,48046977,48047020,48047019,53340813,43895475,34623653,26634402,26634403,34623659,43895483,54638390,59438890,61640185,50156702,40134316,31453559,29567463,22221280,16088900,11174334,11174335,16088909,16088919,16088918,22221305,29567492,38133551,29567488,29567487,34623611,26634376,26634377,34623616,43895434,54638342,50289319,40268128,31581193,24075647,24075648,31581198,29567452,29567453,38133505,48046934,48046940,38133562,29567494,29567495,38133565,38133592,43895514,34623690,26634420,26634419,34623684,43895509,48046970,59438894,72177457,74421772,61640178,50156698,40134310,38133518,38133517,38133526,29567473,22221286,22221287,29567477,29567501,29567500,34623660,268385738,26968928,35050147,43895428,54638332,54638337,54638338,66895629,74552841,61769089,50289326,40268130,40268131,40268136,48046922,48046925,48046926,59438866,48047000,38133572,29567497,29567498,38133579,48047011,48046947,43895501,34623680,34623681,43895506,54638401,54638405,43895563,43895564,54638442,66895696,66895701,61640182,61640180,59438883,59438881,55272146,44424869,35050126,35050127,44424872,55272152,67612976,80323417,80323418,81080351,67613005,67613006,72177485,85771879,74844026,62045805,50553165,269191314,31581182,40268112,50289307,61769062,62045800,74844018,74552787,61769020,50289279,50289280,61769024,74552793,84526140,95138317,81080358,67613017,67612965,67612963,257907560,74552877,74552772,61769039,61769040,74552812,84526164,70962649,70962650,84526167,85451512,74491850,74491849,74491871,74544358,61760994,61760993,70962644,70962643,70962647,84526161,84526144,70962627,70962629,61709390,61709391,74491841,257813048,40207504,257665170,50228798,40207497,40207496,50228793,58245986,46878946,37000554,37000553,46878941,58245981,70962571,72963222,86562248,93010493,102075967,88089860,74478203,61695835,61695834,61709422,61709421,74491877,74544364,61760988,50281487,50281489,40260535,40260534,50281493,58246122,58246023,46879016,46879015,58246068,70962608,70962654,256028958,46879066,37000642,37000564,37000565,46878960,47729757,46879064,46879063,46879035,46879036,58246088,49946758,49946757,61424564,61760970,58246155,50281520,40260550,31573212,24067482,17711666,12529030,8490460,8490459,12529024,17711653,24067460,21284814,21284813,28503173,28503199,28503198,37000652,40260506,40260494,31573183,31573184,40260500,39726240,31047376,31047375,39726237,49745594,40191940,40191941,50214053,58246048,46878994,37000581,28503144,28503145,29243624,29243623,37807881,47729763,49946768,39929207,31254028,31254027,39929202,49946760,61424571,74203222,61760980,50281478,40260525,31573193,24067467,17711657,17711658,17711644,17711645,24067452,31573168,28503169,28503170,31254005,39929169,39929161,31254001,31254002,39929164,49946655,49745614,39726247,31047386,23563264,23563263,23769714,23769715,23563213,17252252,12132619,12132618,17252247,23563204,28722398,37000579,37000577,46878989,49946746,49946747,59128297,61225006,49946764,49946752,49946751,61424552,61424568,74203217,61761012,61695820,61695821,50281471,40260517,39929117,31253967,23769696,23769695,31253963,257060695,61424445,74203135,61424474,257060688,39929137,49946660,61424472,71090575,58374522,47004378,37253280,37253281,31254014,23769716,23769717,31254016,39929183,49946716,61424517,258874624,61424479,258252123,258896656,258673229,87610255,74005994,74005993,259483677,100989527,86996727,73381575,60635515,49234776,49234775,49946713,49946714,61424513,49946710,48492055,48492056,59883928,72622622,270334351,72622611,72622629,71090563,58374494,54640400,49234798,49234796,60635539,73381595,73381563,72622647,72622646,80325477,66897608,66897609,80325480,71090556,71090557,84653030,98576054,94380759,80325540,74005988,74005987,84851911,80325551,80325499,66897645,54640178,43897133,43897134,54640182,66897651,60635523,60635524,60635530,59883936,48492063,38578530,30007421,22637168,22637167,30007418,38578521,40205491,48492042,59883907,48492072,48492071,49234819,49234818,49234850,49234794,39308039,39308040,49234804,60635546,60635510,60635511,73381570,72024325,72024326,72622597,59883959,59883960,72622656,86221297,94380732,80325545,66897706,54640231,43897170,43897171,54640236,66897712,80325489,66897621,54640161,43897125,34625134,34625133,43897119,54640155,49234788,49234789,48492053,38578548,30007433,22637171,22637169,30007425,33507405,39308029,49234772,49234895,49234832,39308054,30710333,23293881,17034372,17034371,23293879,30710326,39308044,49234809,60635549,73381559,86221286,86221303,100184922,100989546,86996788,73381639,73381638,86996786,77236933,77236932,71100836,58384037,47012783,37125705,28614672,28614671,37125703,41908446,41908447,52245479,64092817,71100808,71100809,77237007,77237008,64092814,64092815,77237046,91152616,101943265,115987463,112464131,98474076,98474077,105370355,105370354,259307988,101943264,87970845,269875001,50112216,40091670,40091672,50112222,61592278,74368776,73381707,60635668,49234885,39308077,39308078,49234889,60635678,73381720,62552027,62552028,75477089,77237055,64092812,64092813,77237061,77237004,77237000,64092779,64092778,77237011,76610693,64836193,64836194,78033849,90469147,76610723,76610724,90469149,88104511,88104512,78037191,258275218,91961333,91961332,84526170,257665184,90469130,76610700,257488286,63531025,76610710,65367655,65367656,78672403,91961319,101928102,87955271,87955273,87806499,75727500,62778306,51141797,257719287,75727494,89491231,103586376,92940267,92940268,104633064,90469136,76610705,76610704,76753738,76753736,270973415,78672430,65367681,53363717,42897641,42897642,53363719,65367687,78672434,92735450,78672472,65367757,53479643,53479642,65502134,65502152,78833809,76753755,63661310,51865651,51865625,49932218,49932217,61410798,74189807,78672376,65367626,53363683,42897611,42897610,53363679,65367620,78672371,74189850,67811428,67811427,78900499,65565609,65565610,78900502,73215409,61883539,50393714,50393712,61410821,61410825,49932240,39914003,31238584,23755117,17428704,17428705,23755124,31238596,39914026,49932281,49932280,61410872,53363857,42897737,257244157,53363882,53363883,61675561,61675562,62755534,75702884,81278762,67811463,55469917,49065314,49065315,60468741,59934791,48542096,48542095,55469843,61209313,60473694,54667898,43925424,34652116,34652117,43925428,39276999,30680039,30680037,39276995,43925395,34652095,26660566,26660565,34652089,43925385,54667831,66924303,66924296,54667817,52313329,41972960,41972961,52313334,41972966,41972968,52313345,54668039,54668040,66924319,54667846,54667847,54667913,54667912,62626864,51004115,51004116,43925413,34652109,256302276,43214158,43214159,34652147,26660595,19846071,19846072,26660597,30542007,23123412,16863546,16863545,19541325,26260687,26260686,26260685,34126556,43214190,43214196,43214197,53726123,258472155,65565738,65565739,64240927,60473714,49070624,39140599,39140598,49070620,51031499,62658061,62716927,62716925,75663074,78037323,73220066,73220060,73220058,66006603,53936018,43408933,34307498,34307497,39753811,31076162,31076161,34126535,34126536,43214157,53540989,43061885,34003943,34003941,43061881,53540982,52915293,42505921,42505922,52915295,52915354,42505975,42505976,52915356,64840096,64840009,52915263,52915264,64840011,64840040,64840039,52915389,52915390,64840132,62658057,62658056,52915421,257813021,78037330,78037333,65565780,53541070,53541069,65565775,53936027,53936026,65565717,61251000,49772360,49772358,61250995,74030937,78037321,78037245,64840049,52915303,42505933,33507125,25728783,19097109,13634490,13634488,19097100,25728768,33507138,42505967,42506068,42506100,42506099,52915492,259056039,77312845,257630006,71887696,78037316,64840162,52915419,52915420,52313304,41972945,41972944,33569414,25779272,25779271,33569413,42586412,53026179,65000877,78273868,74421746,61640149,256152166,42505951,33507132,33507130,42505947,50405271,50405270,61895860,59149969,47751407,37829079,29263428,29263429,37829082,42501677,40134267,40134268,33569431,25779283,19138084,19138081,25779273,33569416,257226235,40261442,50282259,258279217,88159652,102150230 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3960596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8137526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7234112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234112, s2 = 10253127, int(edited[s2]) = 0 s1 = 7234112, s2 = 10253127, d1 = 6, d2 = 6 Dl.O(d1) = 264348452,195107752,187028254,177754356,262336879,143083669,129753945,129753946,143083671,155632887,262336881,143083672,129753949,129753950,143083676,155632896,167261887,155632880,143083664,129753943,115854891,115854892,129753946,143083671,155632889,167261894,167261906,155632897,143083679,143083680,155632903,263236997,195107790,202020640,207834774,207834769,202020592,195107735,195107734,195107728,263236993,177754343,187028233,195107730,195107743,202020594,195107739,195107738,195107779,273888169,212626924,207834816,207834815,212626932,216542538,216542537,274011785,202020644,195107786,187028283,187028284,195107789,195107776,263971067,202020623,202020622 Dl.O(d2) = 264348452,195107752,187028254,177754356,262336879,143083669,129753945,129753946,143083671,155632887,262336881,143083672,129753949,129753950,143083676,155632896,167261887,155632880,143083664,129753943,115854891,115854892,129753946,143083671,155632889,167261894,167261906,155632897,143083679,143083680,155632903,263236997,195107790,202020640,207834774,207834769,202020592,195107735,195107734,195107728,263236993,177754343,187028233,195107730,195107743,202020594,195107739,195107738,195107779,273888169,212626924,207834816,207834815,212626932,216542538,216542537,274011785,202020644,195107786,187028283,187028284,195107789,195107776,263971067,202020623,202020622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234112, s2 = 10253127, dlinesl.size( ) = 2 s1 = 7234112, s2 = 10253127, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7234112, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6967161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6967161, s2 = 10346638, int(edited[s2]) = 0 s1 = 6967161, s2 = 10346638, d1 = 25, d2 = 57 Dl.O(d1) = 260713303 Dl.O(d2) = 46940536,37969076,268938535,47046841,37156030,28640321,28640320,256862901,40246299,31559959,31559960,40246300,37875481,257268078,11427842,11427841,10505538,10505537,11629956,16663357,22892997,29949701,28104373,20928049,255793205,36576271,46441368,46441367,261612095,262619765,263065330,273317570,211038672,264155412,208039687,202262033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6967161, s2 = 10346638, dlinesl.size( ) = 12 s1 = 4908031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6832390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6832390, s2 = 8479878, int(edited[s2]) = 0 s1 = 6832390, s2 = 8479878, d1 = 0, d2 = 3 Dl.O(d1) = 258997156,155645889 Dl.O(d2) = 269501894,61458741,259501871,258400574,74238119,74238120,74238124,258400578,258400574,87843452,257195706,61458740,74238123,270901711,61458739,61458740,74238122,257195706,61458738,74238120,256640676,39964001,31289030,23802811,17469817,17469816,23802810,31289026,39963996,48972996,256267478,30461759,39051332,48972992,60368691,65781002,61458736,49980525,39963994,37791350,29229241,21912789,15830369,10970340,7261372,7261370,10249825,10249824,14907194,20800827,27962938,27962901,20800806,14907184,14907185,20800810,27962909,36421138,46273782,42772725,42772724,53223485,257382768,59109983,47712198,37791384,34125045,34125046,43212515,47012249,47012248,53724597,46273795,46273720,46273719,47378870,46273833,46273834,53724493,43212614,34125140,26259461,26259460,34125138,256804546,36421157,36421158,46273812,57618338,70308912,57618272,57618273,47712201,47712200,59109986,65781056,65781032,254995426,57618307,46273773,36421133,36421134,46273776,46273787,256700623,34125225,43212713,47470125,37563244,268927961,46785578,58153067,257752788,39089569,30492822,256460249,49019338,60423196,258509630,49019349,39089575,39089574,49019347,60423207,73169924,61464599,61464600,58639812,47246691,47246690,58639810,71376127,72636260,59894025,48499974,38585113,268953901,59894022,72636255,86238918,100207126,95611266,81577621,68087794,68087795,81577623,95611269,109814687,109814692,95611273,81577627,81577626,259807155,123952330,109814689,109814688,109383566,95129453,81071330,67603253,55261576,55261577,257522314,81071343,81071344,95129462,81071349,67603264,55261582,44414150,35039923,26960124,20076463,15726244,15726245,20053827,20063053,14390233,9896158,7714608,7714609,5509290,5509289,4069643,4069642,6494699,6497196,4071206,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,5538368,6500954,6500956,9892997,14387323,10504268,6926432,4351227,267785849,852448,852447,1503802,1584619,1584620,2734756,4549464,7220751,10918200,15764989,21833762,29141487,37702383,47625370,59028067,50294670,40273369,31586441,24080711,17723535,12539256,8500498,254411871,1998874,1142522,1142523,1998876,3391771,4608696,2774527,1609399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6832390, s2 = 8479878, dlinesl.size( ) = 2 s1 = 6832390, s2 = 8479878, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6832390, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 7868649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7724836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7724836, s2 = 8265084, int(edited[s2]) = 0 s1 = 7724836, s2 = 8265084, d1 = 38, d2 = 35 Dl.O(d1) = 273776396 Dl.O(d2) = 271392222,258878526,51799467,63585338,71185679,75465587,78254576,78254567,76671815,258364210,54697878,54697877,66956697,78254562,76671873,258680003,63585217,51799451,51799450,63585227,76671801,63585215,257933809,51799365,51799366,51799339,41521402,41521401,51799337,47434214,37526596,37526595,47434212,51799457,41521488,41521487,51799455,51799348,51799349,55305825,55719826,44813268,35388625,35388624,27263157,20328714,14589221,10038759,6597217,4133077,4133078,6597219,10038765,14589232,18446704,24965474,27263154,35388619,30919482,30919483,24574278,18132512,12857449,12857450,14487638,14487637,20191612,20110706,14421855,9920343,6519973,254316171,2444127,4085193,6519975,9920347,14421863,10613548,7003667,4403223,2639221,2348031,1424933,872949,872947,492874,276453,276456,492886,873894 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6967314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7968131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8598456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6701398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8257668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3963316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4161435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4162396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4162396, s2 = 14362598, int(edited[s2]) = 0 s1 = 4162396, s2 = 14362598, d1 = 41, d2 = 59 Dl.O(d1) = 155745863 Dl.O(d2) = 268069269,21261960,17545426,17545427,255025348,21476730,18947818,15281164,10547136,6955914,4370482,4370484,6955919,10547141,13519728,10557626,9661702,9661704,9252600,6059799,6059797,6065261,6065238,3794891,3794888,6065246,9252436,13520647,18956978,21474290,21477257,15474784,15474783,21477254,28734479,37266661,31396976,25571834,18962716,18962717,25571836,21234078,21234079,28459448,30454086,23045667,16799771,16799770,23045663,30454084,31270436,25570806,25550376,18937870,16441227,11455331,11455330,14581270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4162396, s2 = 14362598, dlinesl.size( ) = 28 s1 = 4162772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3965182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4162966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7692294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6968246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9212387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8267711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8509353, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7680027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10240594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146445, s2 = 14539406, int(edited[s2]) = 0 s1 = 10146445, s2 = 14539406, d1 = 10, d2 = 12 Dl.O(d1) = 100348983,86391957,72796086,60057457,60057458,72796087,60057459,60057460,48660708,38739330,38739329,48660707,60057462,72796089,72796084,60057456,48660704,38739328,30156743,22768449,255111725,11538653,16554482,14578689,14578688,20314523,27246291,35370468,38739281,48660648,44795207,44795208,55702829,48660712,48660711,41697255,36727004,28233291,28233290,36727001,46614657,37833977,29267843,29267842,35244808,44628472,48660717,48660643,38739279,38739278,48660637,60057384,55478150,52486540,42131598,42131597,255559646,255559648,32803963,32803962,41724097,256010472,29267836,255559640,23831254,23831325,17492882,17492881,23831320,22366113,16212222,11269782,7481146,254355007,2848517,2569452,1479327,1479328,1112328,624170,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771210,6771098,4243967,4243968,254582875,3233261,2534914,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770728,4243692,3372154,3372151,1984285,1984284,3372191,5480056,4286271,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550941,4266705,5210343,5932158,3709191,2221240,1288525,735629,418238,418237,735624,1288518,2221230,3709170,5932070,5931903,5931902,6773438,9100854,5954670,3723883,3723885,5481342,3372985,3372986,5481347,8479852,8536982,5534948,3420460,2019992,1155778,1155777,2019989,3420451,5534927,8536945,12584438,17781449,24148081,25102166,18553634,13183351,8986711,8986710,13183346,13183658,13183659,18554011,25102588,32804482,25102590,18554014,18554015,18554063,18554062,25102636,25102274,18553724,18553723,25101963,32803905,41724053,32804464,32803992,32803993,32804461,32804525,25102645,25102644,25102561,25101947,254906782,13183199,18553436,13183687,13183686,18554044,18553416,13183186,13183187,18553419,18553971,13183633,8986912,5867201,3663031,2191771,1272404,1272405,2191774,267857833,18554068,17711740,17711741,24067564,255192760,61761033,65191616,53206036,42756413,33726813,25920122,19258260,19258259,255330579,9931414,6527003,6527002,9931413,14437635,20130217,27021851,32951872,25232133,18663279,13271493,9056347,5920881,5920882,3702325,2217541,2217542,3702330,4285565,4285564,6830860,10368450,255369951,28127872,36601591,46448055,36582465,36582466,46448057,37848973,29281117,21956195,21956194,268628425,47772117,37848953 Dl.O(d2) = 21956186,15864400,10995644,10995645,10995646,7278889,4590528,2761823,1601026,910298,910297,578309,578305,578793,323749,178870,98406,54421,30779,30778,54414,98393,178838,323701,179226,179227,179234,179232,324476,580206,892794,504556,282902,156242,85778,47078,26236,26235,47075,85770,156218,282826,504386,894026,572360,320579,177363,177362,320573,572351,1015388,578889,323799,178899,178898,323796,578884,1027418,1797050,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802747,3087249,3091415,1805922,1805921,3091412,3079794,3079793,5077771,7978606,7936905,267987523,11890471,11890470,11876211,11876212,11891391,7951116,5057020,3063766,1785976,1018425,573949,321347,321346,573947,1018421,1785968,3063750,5047202,3057390,1782029,1782030,3057398,3068088,1788525,1019774,574638,321649,321648,574633,1019765,1788506,3068061,5063654,3086144,3086145,3076926,1795321,1024314,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,5091684,3089940,1804756,1804754,3089921,3089860,1804724,1804726,3089869,5091568,7985054,7985055,11919267,7973891,5074162,5074164,7973898,11919271,16993054,11917424,7972178,6873325,6873324,5870704,5870702,8991950,7987390,7987391,7951410,7951411,11891815,11897315,7955958,7955957,11897312,16983284,11925010,11925011,11946529,11867264,7931656,7931657,5042465,5042466,4700409,4700410,7438782,11211249,11898405,8039378,5129718,3118093,1822330,1822333,3118105,5062176,3067098,3067099,5062181,7958399,11211391,7438881,7438880,7987495,5083624,5083623,7987493,11935105,11934375,11874164,11874165,7981468,7981469,7787740,7787742,5464562,5464563,8457115,11990224,8042270,5132757,5132755,8042265,5163776,5163775,8069368,7940124,7940125,11877425,11090343,11090344,15975985,16986739,16986736,11901412,11901411,11685547,7792498,7792497,8348443,5388344,5388346,8348449,7438735,7438733,5060586,5060587,7956358,11212332,11212333,10878771,7192376,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981959,7982867,7982865,11682690,11682692,16724616,16990302,23253245,23229732,16956918,16956919,15040995,11892787,7952200,5057760,3064285,3064284,5057756,7952190,9169098,7952159,7952156,7939528,7939526,11876597,11211958,7439283,5057801,5057800,7952278,6881317,6881319,6881301,6881298,7947056,5053853,3061688,3061689,5053859,7947070,7959902,5063220,5049467,5049465,5053996,5053997,7947257,8071292,12013399,17099350,23273752,30664329,23248087,23248088,18821949,13409095,9167626,9167625,7983943,5081337,5081336,7983939,11930782,16724510,16724509,22565014,16990383,16990384,11946342,7996318,7996317,11946340,13988171,9609371,6311705,6311704,7985080,11932174,13988144,16958957,16984893,11899258,11899257,16984890,17005997,11919355,7973956,7973955,11919353,17005993,17010362,17010364,11947342,7997184,7997048,7997047,11947187,16965236,16965237,18561909,18561912,13409770,9168262,9168261,7997589,7997590,8991920,11919689,11947707,10878828,7192395,7192394,10878823,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850297,3850298,6153639,267892336,11940826,7991785,5086783,5086784,7991786,11932369,11878202,11878200,16966314,12011566,12011567,16139173,11211405,11211406,8350402,267790926,1949662,1113783,625044,624999,347310,347308,625009,1113729,1863025,1062959,597526,597529,1062968,1863040,3183330,3664746,3454946,3454944,5570856,8574910,9194679,6019515,6019514,9194677,13446039,13446004,9194648,9194649,9194817,6019627,3765741,2256255,1309480,1309479,2256253,3765737,6019622,6019947,9195312,6020436,6020435,9192948,13443662,18866828,25467040,25471021,25471020,18870708,267960262,23558047,23558048,31040161,33214546,25467160,18866963,18866966,21334099,21334100,22204182,17248743,17248744,21653393,15618876,10806578,7140701,7140702,7140694,4496044,4496046,7140699,10806574,15618872,21653391,22447321,18871322,18871323,25471583,25471550,18871272,13447432,9195791,6020306,268912282,5997467,3750659,2245981,1302749,743223,743222,1302747,2245977,254443493,3750651,5997454,9163499,13403251,18814116,25403783,33143866,42098126,46359158,36501183,28037978,28037977,36501181,46359160,57708307,70402283,83928543,97787482,111710052,111710055,125517050,138849797,151552351,163435199,151552350,262125681,174283807,174283797,273144088,183947190,183947191,183947192,174283801,174283802,183947193,262788174,167500077,155881945,155881944,167500074,155881941,143336204,143336205,143336208,143336207,130002611,258844462,102036786,102036787,88052482,74440737,61656786,61656785,255986050,255986048,87010354,74453390,61670099,50186025,40161701,31477111,23980480,18775558,13375853,13375851,13373538,9140435,9140434,9141556,8465478,8465477,12497563,9139496,9139495,9142230,9142232,13375054,13375055,13376037,12497542,8465465,8465466,9139490,9139004,5980499,5980501,9139012,5980903,5980902,5982014,3740750,2239469,1298656,1298655,2239461,2239216,1298507,1298508,2239153,3740174,5981272,9140206,5981400,5520189,3740876,2239537,2239539,3740883,5982487,5982588,5982606,3740958,3740959,5982113,9141487,12682302,13376062,13372345,9139486,5980802,3739902,3739900,5980793,9139464,9137823,5979687,5979688,9137830,9141533,9141534,13374960,15697521,12624243,12479450,8450266,5458429,4482649,4482647,7119614,10775413,15577341,21605863,17649893,12478531,8449156,8449158,12478535,12433997,8403404,5422549,3333442,1960478,1960477,3333441,5422547,8403398,254858887,5440753,5440752,8428449,12459784,12460368,8429097,5441259,5441258,8429096,8445718,8445717,12475736,12440614,8416088,8416089,8435574,5981053,3740057,3740058,5981056,5458591,5458590,8419162,8419165,12450199,8436512,8436509,12443765,12450792,8443022,5452126,5452123,8428182,8432278,8415106,5430716,3338393,1963217,1963216,3338364,254405597,8415061,8452248,8452247,8435541,5455638,5455639,8447167,8418688,8418687,12450307,12440638,8408976,5457541,3355255,1972487,1972488,3355251,5457535,8435490,5981103,3740082,2239100,2239099,3334448,1961088,1120281,628606,349804,349807,629873,1122826,1961040,1961039,1123108,1123109,254136133,350636,192132,104860,104861,191749,191750,349840,629960,1121254,1121255,1963006,3337997,3343819,1967340,1123539,1123540,1967343,3345857,5442627,8430770,12461856,12452763,8421148,5435226,3341285,254405949,5431209,3350747,1969946,1124832,1124833,1969947,3350750,5450680,254857307,8415272,8423633,8423635,8408207,8408209,5430587,5430588,254599235,254599237,12450687,12443195,8411543,8411544,5453180,3352396,1972212,1972213,1968477,1968478,3347936,5440751,254600013,8403396,12433981,17615846,23965992,31461952,40145539,50170737,61656783,74440733,88052480,99801949,85849970,269303552,59525413,72258945,85849974,88052477,88052478,86821022,73208209,73208210,73208215,73208216,86821004,86821005,86821027,268240160,254810786,30529169,23111157,16852572,11786010,254172964,23111155,30529162,39127541,30529875,23111791,16853147,11786618,7870218,254172938,4995971,4995973,7870017,11786406,267835292,7872211,4997583,3019520,3019521,4997593,7869555,7861026,4989265,4989268,4992050,3291006,1935337,1105398,620232,344653,344655,620239,1105415,254128020,5354746,8300331,12290277,8300310,8300309,12290275,16852798,16852799,23106671,16853603,11786950,7870468,4996349,3018801,3018800,4996346,5354725,5354726,8300305,7869720,7869718,11786082,13277474,12022592,8082869,5178916,5178920,7864903,11779505,11779536,11779538,15114677,21042398,16849159,11783219,11783124,11783125,11785580,11783072,7867332,7867333,8300180,6873589,4314831,2580498,2580501,3017166,1753229,997426,997425,1753224,3017152,4993930,7867391,10728963,10425503,10425502,10425644,11784482,13072228,8907836,8907839,13072236,16927723,11847506,7918377,7918374,11847499,12022577,12936284,12022606,12022607,8800630,8800632,11773839,7860639,4989011,4989010,7860646,11773849,16836633,21042167,15114271,10425252,6873475,6873474,10425246,15114264,21042162,28241067,28241261,23107216,23100969,23100968,30517073,30612320,39208503,254376024,23195566,21042627,21042625,254810166,15114643,15114641,21041877,21452513,15454022,10685013,10425095,10425094,14522507,20238645,16840437,11787666,7871086,4996825,4996826,7871092,11741245,11741243,16792409,254556726,254556724,23036788,23096096,16840439,16840438,16840460,23096112,30511646,39108733,30511636,28540307,21316730,21316729,28540302,37039003,46916724,46624288,39101242,39101243,48939961,256877992,256364753,47697069,59095213,59095217,51581534,41360187,32513174,32513173,41360184,49059496,49059495,60463099,60463097,60463096,63948990,52127972,43919222,34646180,26655011,19841276,14214358,14214359,19841279,26655021,33542558,33542562,34646339,26655631,26655630,34646447,256687840,25754188,19116045,13648236,9345806,9345805,13648233,13648156,255278967,19115958,13648170,9345771,9345770,13648167,19115950,25754130,25754275,33542819,33680937,25874808,25874807,268421791,16850191,255516787,30526273,33542778,26656406,19842539,14215507,9772714,9772713,14215502,19842529,26656390,34647612,43920703,42558953,34647600,34647599,43920688,51135041,58051441,58051440,58051418,46676643,256296361,21086972,15146854,10446406,10446407,15146856,21086977,28294044,36790699,46676698,58051468,70769788,84328693,73388222,60641740,60641741,257587962,54663226,66919950,63299583,60463223,60463225,60463565,73209920,60463267,60463266,73207568,60460533,58051449,46676674,39096714,30500728,30500729,39096716,49025672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10146445, s2 = 14539406, dlinesl.size( ) = 2 s1 = 10146445, s2 = 14539406, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10146445, Dl.E( ) = 14, 1.69e-05 seconds used appending s1 = 8622761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8510478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8510478, s2 = 10212386, int(edited[s2]) = 0 s1 = 8510478, s2 = 10212386, d1 = 39, d2 = 37 Dl.O(d1) = 102054619,116112386,105708781,91484844,77553952,64385722,52512040,52512041,64385724,77516045,64350639,64350637,70393214,257631254,270895022,130022130,143355256,260742222,259530314,143355292,147057061,143355264,258905964,102054623 Dl.O(d2) = 147057060,143363351,133810959,133810960,147057061,143355264,258905964,102054623,102054622,260144902,116112421,116112420,130022166,143355289,143358997,143205256,129875557,115977904,260722841,116116869,102059141,88073533,88073534,102059144,91484837,91484836,105708773,260870829,260144894,116116844,130026257,129875558,115977906,101933400,101933399,260722841,130026273,133810952,130022127,130022128,130031103,119943718,105708790,105708791,119943719,270400286,116121081,116121082,130030848,130026248,116116825,102059107,102059109,116116828,130026214,130026213,130031571,143358983,130026242,116116818,116116819,119943723,105708796,91484862,91484863,88073517,88073516,102059103,116116817,130026241,143358982,130030876,130030875,130026261,116116848,102059125,102059124,116116843,119943707,119943706,116112391,116112392,119943726,105708798,91484864,77553971,64385736,52512047,52512046,64385733,77553965,270400284,88076609,102062895,116121098,119943713,105708781,91484844,77553952,64385722,52512040,52512041,64385724,77516045,64350639,64350637,57699322,57699321,70393212,83919225,97777311,105708804,119943733,116116866,116116865,130026269,130022133,130022131,133810955,130030904,116121140,116121105,102062898,258283298,257091226,102062892,91484508,88076914,88076913,102063168,116121303 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9191386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3968669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8465402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8465402, s2 = 14051105, int(edited[s2]) = 0 s1 = 8465402, s2 = 14051105, d1 = 57, d2 = 37 Dl.O(d1) = 261848536,167903363,261306270,178010978,167542828,155930866,155930867,167542814,260137286,187256469,178010975,167542820,155930859,155930861,260733876,260733878,195306056,202189252,261306268,187256468,187256472,178330276,260733874,130469100,130060136 Dl.O(d2) = 255468397,29731494,22543608,16368126,16367965,11390901,255097691,22543484,22543409,22543411,29898671,29898670,22543348,16367884,11390838,7568022,4785680,2884128,2884129,4785686,7568040,10934337,15783594,255866287,257482001,38455631,38455630,48357321,59740782,65132714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8465402, s2 = 14051105, dlinesl.size( ) = 2 s1 = 8465402, s2 = 14051105, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8465402, Dl.E( ) = 58, 2.6e-05 seconds used appending s1 = 4166561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660298, s2 = 3969619, int(edited[s2]) = 0 s1 = 11660298, s2 = 3969619, d1 = 1, d2 = 1 Dl.O(d1) = 29576002,29576001,22228623,16094697,16094698,22228625,28845871,21573993,268079844,10755342,15550854,17594268,17594267,23937893,31429066,40108878,50129527,61610238,74387618,259513629,260725065,129912118,143243517,155795065,167424028,177913339,187178542,195245092,202140583,264818503,216655820,212754584,207983297,202196494,195313665,187264172,178018609,167550395,155938362,143398247,130068405,116160621,102104021,258898987 Dl.O(d2) = 29576002,29576001,22228623,16094697,16094698,22228625,28845871,21573993,268079844,10755342,15550854,17594268,17594267,23937893,31429066,40108878,50129527,61610238,74387618,259513629,260725065,129912118,143243517,155795065,167424028,177913339,187178542,195245092,202140583,264818503,216655820,212754584,207983297,202196494,195313665,187264172,178018609,167550395,155938362,143398247,130068405,116160621,102104021,258898987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660298, s2 = 3969619, dlinesl.size( ) = 2 s1 = 11660298, s2 = 3969619, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11660298, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3969722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3969722, s2 = 9038680, int(edited[s2]) = 0 s1 = 3969722, s2 = 9038680, d1 = 12, d2 = 10 Dl.O(d1) = 263605428,143403038 Dl.O(d2) = 262826057,155942438,167553594,263217740,261947370 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9518210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9518210, s2 = 9142200, int(edited[s2]) = 0 s1 = 9518210, s2 = 9142200, d1 = 29, d2 = 9 Dl.O(d1) = 19594021,14039328,14039327,256184131,43288841,43288846,34191717,26319720,257858557,79246109,93373969,107796242,122201536,261517983,155990522,155990521,143450224,143450223,143450220,143450221,155990520,162347240,150196579,137139866,123392561 Dl.O(d2) = 776575,774492,439751,248043,248040,254115015,1358632,2345441,3918240,3918340,6259051,9416658,9511340,13769545,9439198,6187403,6187404,9439200,13769547,268160873,13967465,9590819,6296227,6296226,9590816,13967459,19512929,26228204,32309044,32309043,24899277,254352444,23956244,23956243,31448726,26199977,19490511,19490509,26199975,26200000,26199999,254352470,29598237,29598236,32628360,32628361,38163124,48075964,48075967,48075965,48075966,59466766,72204518,85798708,99752770,113767132,127635687,126710072,112858321,98870722,84944531,84944530,98870719,112858316,126710066,140057617,152747534,152747535,164582627,167773957,156177306,143647123,143647122,144950918,271658244,103722229,117875888,116487760,102393519,88392956,74758962,74758963,78405227,92441216,259786222,100244924,86280660,72681566,72681565,86280657,98371380,100244899,92441217,92441218,91640064,91640063,105847794,120060192,120060191,120060190,133903757,147128589,260849294,150657267,137659521,123977458,123977457,137659520,123977460,109837653,95633863,81600808,68112005,55715665,44809269,35384788,27259459,20325322,14586481,10786485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9518210, s2 = 9142200, dlinesl.size( ) = 20 s1 = 13329943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8262630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2105624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13694841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358037, s2 = 7134481, int(edited[s2]) = 0 s1 = 10358037, s2 = 7134481, d1 = 45, d2 = 31 Dl.O(d1) = 177794373,187068136,264824791 Dl.O(d2) = 263056981,272814615 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7086959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4169945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9504328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9174854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10249477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10249477, s2 = 9805566, int(edited[s2]) = 0 s1 = 10249477, s2 = 9805566, d1 = 116, d2 = 56 Dl.O(d1) = 263990805,195439472,263990802,272911606,260747609,259536027 Dl.O(d2) = 28498960,21299063,15331305,15331304,15331958,15318442,15318441,21281259,28497628,21280107,21280108,28497633,36995093,36997138,36999639,28502268,28502269,21299684,15331733,10589045,10589044,15331729,21299674,28520823,28498907,28498906,21299519,21299520,28520423,21299888,21281219,15318413,15318414,21281221,21280120,21280088,15317570,10579625,6979059,6979060,10579627,6980510,6980511,10581506,10579653,6979079,6979078,4389287,2629798,1518488,860958,485986,485987,860962,1518493,2629811,4389309,254119908,15318897,10580573,6979761,4385426,4385428,2627594,2627593,4386202,4387925,4387926,6983361,6985216,10589051,15331739,21281811,15332045,10589271,10580160,8458867,5465550,5465552,8458872,10579418,6978930,6978932,10579421,15317297,10579609,6979053,4384910,2626678,1516426,1516427,2626686,4384924,6979089,6980503,4386011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10249477, s2 = 9805566, dlinesl.size( ) = 2 s1 = 10249477, s2 = 9805566, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10249477, Dl.E( ) = 118, 3.39e-05 seconds used appending s1 = 8510991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8589403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8212410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355619, s2 = 7094161, int(edited[s2]) = 0 s1 = 10355619, s2 = 7094161, d1 = 69, d2 = 38 Dl.O(d1) = 260881508,262368962,261321852 Dl.O(d2) = 262479043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355619, s2 = 7094161, dlinesl.size( ) = 18 s1 = 13163625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3975970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13697489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659794, s2 = 11561598, int(edited[s2]) = 0 s1 = 11659794, s2 = 11561598, d1 = 92, d2 = 83 Dl.O(d1) = 26183534,34033053,258465533,93100042,107507061,121882971,126803235,112949256,98960177,85035224,268485748,47345803,37438682,28898153,21622815,15592311,10786484,10786487,15592314,14952975,10286940,254481415,2533695,1460071,826492,466617,262588,145526,145525,262598,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,6821920,10310641,6781767,4267725,4267726,6804915,9073870,6831499,4285996,4285998,6831501,4390443,2630532,1518921,1518925,2630547,4390470,4249018,2540244,1463593,1463590,2540234,4248991,5930023,3707876,2220512,2220514,3707890,5930049,6367428,9681057,6367462,3995432,3995433,6367471,4279363,4279364,4242299,3467195,2055911,2055913,3467202,4281109,5956153,8421281,5435333,4253042,4253040,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,2228738,3722187,5951890,9097185,12665395,255593615,31771229,40466098,50502197,61994156,61994157,74790729,74790730,88422914,102424269,116521121,130359318,143685650,156216065,263039970,137484091,150515666,162636280,173658766,183446165,183446166,183446167,192002027,199362320,199362319,199362318,205589450,264928149 Dl.O(d2) = 219779687,222520698,224874814,226918339,228699174,230267012,228699178,228699177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659794, s2 = 11561598, dlinesl.size( ) = 2 s1 = 11659794, s2 = 11561598, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659794, Dl.E( ) = 94, 3.1e-05 seconds used appending s1 = 3979500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9191846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3977157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3977965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3977965, s2 = 15236703, int(edited[s2]) = 0 s1 = 3977965, s2 = 15236703, d1 = 1, d2 = 1 Dl.O(d1) = 143732488,273450134,187495837,178285384,167847863,156259004,273450134,187495838,195511587,202366554,208129507,202366562,195511591,195511590,202366560,208129508,208129511,208129504,208129505,202366558,195511589,195511588,202366556,208129509,212881524,216767368,219987596,222705234,225039044,227065436,228833547,266034927 Dl.O(d2) = 143732488,273450134,187495837,178285384,167847863,156259004,273450134,187495838,195511587,202366554,208129507,202366562,195511591,195511590,202366560,208129508,208129511,208129504,208129505,202366558,195511589,195511588,202366556,208129509,212881524,216767368,219987596,222705234,225039044,227065436,228833547,266034927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3977965, s2 = 15236703, dlinesl.size( ) = 2 s1 = 3977965, s2 = 15236703, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3977965, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8419780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3978136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4174689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4174689, s2 = 8030810, int(edited[s2]) = 0 s1 = 4174689, s2 = 8030810, d1 = 48, d2 = 88 Dl.O(d1) = 156282744 Dl.O(d2) = 36972103,39751525,31073844,31073845,39751528,48655732,48655731,40200933,31514531,24013697,24013696,31514530,40200932,49762054,39743387,31065377,23581467,23581468,31065379,39743391,38261348,29695481,29695482,38261350,39471685,39471682,38323989,34319648,29815140,29815139,38387809,40201024,31514638,24013786,24013787,31514641,39390622,39390623,31514643,31514644,37420076,37420077,47328298,58716997,58125942,58125943,52039053,41723757,256358156,39467424,30863492,23434003,17158434,17158437,18553178,13183006,13183007,17666048,24013785,31514637,40201021,41723767,40200947,31514544,31514543,37699315,47622553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4174689, s2 = 8030810, dlinesl.size( ) = 36 s1 = 9250287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8567840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4175601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4175601, s2 = 11151068, int(edited[s2]) = 0 s1 = 4175601, s2 = 11151068, d1 = 58, d2 = 61 Dl.O(d1) = 156332839,143810213,130485582,116646625,102547267,88540582,74902155 Dl.O(d2) = 1300070,1370021,2341571,2341573,2366895,1370245,780052,780055,442365,442367,780120,1344572,2319433,3873314,5626958,8651120,9151742,9151743,13387571,18210771,13980157,13980155,19527205,257242283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4175601, s2 = 11151068, dlinesl.size( ) = 2 s1 = 4175601, s2 = 11151068, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4175601, Dl.E( ) = 70, 3.91e-05 seconds used appending s1 = 15309752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9471366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659602, s2 = 14105141, int(edited[s2]) = 0 s1 = 11659602, s2 = 14105141, d1 = 1, d2 = 1 Dl.O(d1) = 266065309,232108749,232108750,233315912,234409359,235404728,236312741,237142123,266705275,266640880,239558151,238962917,238315319,237603760,236821210,235960809,235016579,233979209,232840335,231581344,230177048,228595341,226796587,264676570,222359545,219593231,216318649,263422414,207539619,201681631,194725536,186601948,177277725,166722305,155022995,142375536,128999944,115073238,101001987,257288966,122946812,136776902,149912178,162123863,162126867,149915165,149915166,162126869,262069202,156382519,143866446,130548397,116714027,102618019,88611603,74969631,62158127,50649008,40599084,31890208,24362351,255720244,5675041,5675043,8718436,5674998,5675000,8718437,5674998,5675000,8718437,6537217,4095768,3645018,3645013,5840965,8652023,12732579,17967110,256054565,31890209,40599086,50649009,62158129,74969632,88611604,102618021,116714028,130548399,261875937,156382520,167954526,263654803,264307685,208172966,212916324,274216983,225053284,227077852,227077853,228845141,227975969 Dl.O(d2) = 266065309,232108749,232108750,233315912,234409359,235404728,236312741,237142123,266705275,266640880,239558151,238962917,238315319,237603760,236821210,235960809,235016579,233979209,232840335,231581344,230177048,228595341,226796587,264676570,222359545,219593231,216318649,263422414,207539619,201681631,194725536,186601948,177277725,166722305,155022995,142375536,128999944,115073238,101001987,257288966,122946812,136776902,149912178,162123863,162126867,149915165,149915166,162126869,262069202,156382519,143866446,130548397,116714027,102618019,88611603,74969631,62158127,50649008,40599084,31890208,24362351,255720244,5675041,5675043,8718436,5674998,5675000,8718437,5674998,5675000,8718437,6537217,4095768,3645018,3645013,5840965,8652023,12732579,17967110,256054565,31890209,40599086,50649009,62158129,74969632,88611604,102618021,116714028,130548399,261875937,156382520,167954526,263654803,264307685,208172966,212916324,274216983,225053284,227077852,227077853,228845141,227975969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659602, s2 = 14105141, dlinesl.size( ) = 2 s1 = 11659602, s2 = 14105141, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659602, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13821481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3981442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9691017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9691017, s2 = 14686554, int(edited[s2]) = 0 s1 = 9691017, s2 = 14686554, d1 = 6, d2 = 6 Dl.O(d1) = 255148350,16008715,11428207,7596993,7596994,11054262,11554073,11630562,16574301,16574299,18746032,25324967,255539924,11449412,7615057,4817991,4817992,7615059,11449667,16420252,11436300,11436299,16414964,11430946,11430945,16414963,16426651,11629301,11629300,16662695,16414960,11444202,7610418,7610417,254957402,22613422,22621416,16437604,16437603,255924755,262279349,156815494,260780332 Dl.O(d2) = 255148350,16008715,11428207,7596993,7596994,11054262,11554073,11630562,16574301,16574299,18746032,25324967,255539924,11449412,7615057,4817991,4817992,7615059,11449667,16420252,11436300,11436299,16414964,11430946,11430945,16414963,16426651,11629301,11629300,16662695,16414960,11444202,7610418,7610417,254957402,22613422,22621416,16437604,16437603,255924755,262279349,156815494,260780332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9691017, s2 = 14686554, dlinesl.size( ) = 2 s1 = 9691017, s2 = 14686554, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9691017, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14686553, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3982282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3982282, s2 = 7252848, int(edited[s2]) = 0 s1 = 3982282, s2 = 7252848, d1 = 0, d2 = 39 Dl.O(d1) = 144424432,262392919,178639171 Dl.O(d2) = 264580392,264580390,211506057,208276590,208276591,211506034,212998708,212998709,216858962,265448853,226359543,224243157,273896012,263648408,193321022,184987076,273173724,264736043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3982282, s2 = 7252848, dlinesl.size( ) = 26 s1 = 9671768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9513709, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6972204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9709488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9709488, s2 = 16275718, int(edited[s2]) = 0 s1 = 9709488, s2 = 16275718, d1 = 12, d2 = 14 Dl.O(d1) = 261491122,131316841,260925964,262863117 Dl.O(d2) = 264896531,220891851,265493521,227611571,229304058,230801515,265461004,231572007,265076226,226784130,264607696,222343628,219574633,216296264,212341880,263312350,201629769,194652238,261394246,260229370,154882454,258358820,114994497,100940288,256091454,60599832,49199128,39272957,30676551,23260391,23260392,22812546,16594509,11573490,7703627,7703628,11573498,16594534,22812584,30203916,29408643,29408642,30203842,30203840,37428312,28886274,28886277,28907096,28232068,28232067,36725806,38358568,38358567,48268983,38358640,29786985,22422210,22422211,28281515,21076539,15139542,10441818,6883688,6883687,10441812,15139528,19063931,19063930,25687850,268207735,15431320,21422521,28669156,256129402,31747447,40441994,50478663,61971631,74769075,88401448,258090624,74769069,74769073,88401446,102402328,116497675,260491676,102402360,260153867,130334279,261137054,261686396,143659518,130334272,130334273,260491674,102402358,102402357,271323354,141308228,260559450,143659519,261440194,261863547,156190022,156190021,262203204,165751690,153978913,153978912,165751688,167786201,167786202,263123830,185850825,262683926,195470846,263519768,208099109,264484896,212854496,208099106,202331515,195470845,263992813,264579337,274044112,208099102,202331513,195470843,195470844,202331511,195470842,263992811,208099100,212854491,216742726,212854493,212854492,265257103,222684642,225019658,222684638,219965133,216742719,212854486,212854487,216742721,274295313,222684637,274364315,219965134,222684640,222684648,265610581,227047670,265764035,265476616,265476614,220663408,217606613,213943493,209480880,264878143,220663406,222344705,222344706,223263422,220663399,220663400,265479465,225511928,265415906,217606611,220663407,223263428,225511925,223263420,265415904,220663396,220663390,217606608,264540746,264634531,217606607,220663401,223263424,274355120,220663395,220663394,217606593,274203864,213943481,213943480,217606591,217606605,213943490,213943489,265098187,220663386,217606584,213943474,213943473,264793602,209480873,204042079,263596494,180990340,180990341,189868260,197523592,264634533,209480882,204042084,263946836,180990343,170870886,159543240,261447609,133962652,272705589,170870888,180990345,170870892,262775866,159543234,159543236,170870883,170870890,159543242,147184650,147184649,260880825,105909260,91702080,91702081,91702083,105909263,120120989,261447611,272705587,64591974,52691545,42304681,42304682,257800037,77774727,91702085,105909266,120120992,133962656,147184633,133962682,120121011,259669765,64591981,52691552,42304686,33324041,25562723,18951051,255671659,33324039,42304684,52691550,259042759,105909246,260880823,133962675,120121005,105909273,91702090,77774730,64591979,259042761,105909276,120121006,133962674,133962632,133962633,261447613,133962658,147184654,133962677,120121008,259669763,91702091,105909277,260880829,147184673,159543265,170870913,180990370,180990361,170870907,159543261,159543223,261447607,133962631,147184631,159543225,170870869,159543263,159543262,273238323,170870910,170870911,180990368,189868283,197523607,204042115,209480900,264878149,209480898,204042111,263726291,189868279,197523604,204042113,264634539,264878147,204042109,197523601,197523602,204042110,264062997,197523600,204042107,209480896,264878145,204042093,197523594,189868264,263726283,204042086,263726277,263726279,204042089,264634535,209480885,209480884,273927821,170870893,261982429,147184655,262480489,180990347,263726281,197523603,197523596,189868265,180990349,272989011,261447615,133962660,147184657,262939675,180990353,170870897,261982431,260880827,259669761,91702086,105909268,120120996,272378773,159543255,170870903,180990357,263726285,180990350,170870895,159543249,262480491,180990352,273633187,204042103,264634537,265098191,213943496,274416214,213943498,209480889,204042099,204042100,209480890,213943500,216194334,212223384,207363426,204042097,204042095,207363435,263940012,263936211,207363431,264253940,201469976,264785969,216194335,212223387,207363429,201469975,194468480,263936209,201469972,194468478,194468479,194468482,201469979,207363433,264250940,193234746,263195342,175342420,263505081,264250555,206440711,211441327,264250938,193234744,193234743,200393619,263585562,262762624,164579954,175342426,263505085,273739593,263585560,166999819,155347287,142755833,272578830,260653516,112855461,98867593,271309427,126707239,260653518,98867595,84940827,84940828,98867596,112855468,261665713,260653520,112855460,259436578,84940824,260096349,87571586,87571587,101529420,114716946,271849538,126707235,261665711,260653514,98867601,98867600,112855474,126707246,260664249,114908926,260064979,100858406,114908925,272608314,100858408,86877844,73265765,60520637,60520638,73265769,86877847,100858412,114908932,259481213,73973366,61194854,61194855,73973367,87571592,101529426,115558871,129436721,128806002,116541189,260754899,115558868,115558869,272252209,260276596,102444468,102444469,116541187,116541188,102444470,259659908,261866857,142755835,129436719,116541182,271336380,140145653,140145652,152840014,143704983,130379197,126795355,126795356,270841492,269810348,98951876,98951877,98951878,258131226,258131228,270322702,257521606,71454286,58723623,58723624,256941760,271778529,257521604,270322700,112941185,256941758,85026657,98951881,112941183,126795364,140145656,140145651,270841490,112941181,112941180,258754310,271336382,152840019,152304587,152304588,164187836,261721784,175003483,184604064,184604066,175003484,164676365,260597054,164676363,164187838,261173886,126199641,112339191,259284929,259904329,261085289,152304581,272557866,184604068,192987610,262715268,262236626,164187830,152304583,272175501,262641407,262157158,263037762,175456550,165492815,165492816,173682813,162661809,273060659,162661814,272536988,262095411,137514285,123792318,109604597,109604598,123792319,137514286,137514296,123792329,109604603,109604602,123792327,260544724,259325058,81296440,95352494,260412429,95352496,95352495,109604601,123792325,137514294,261565927,150543058,137514291,123792323,123792322,137514289,150543056,262190268,150543059,162661812,173682817,263443411,183468332,173682814,173682815,176406649,165743947,273129209,185844493,191945230,191945229,273241216,176406650,262948762,183383293,173589089,162558630,150429722,150429721,162558628,153970407,141299374,141299373,261173890,260297024,123658381,127939604,114059522,114059523,127939606,260297026,137389689,123658383,109465745,109465743,123658380,260297022,88447356,88447357,102448939,114059525,100032582,86069178,86069177,271341581,141299372,153970402,272382708,261190259,153970401,143709309,141956736,128595740,128595739,127939602,127939603,128595737,114698874,260652745,128595744,128595743,128595741,128595742,141956738,128595748,114698883,100653662,86680941,73076456,258811683,100653659,114698876,272232899,154600643,164456805,175236816,262292218,272578591,273141503,164456807,164456806,175236817,184802851,176919257,166320827,262761941,166320834,164456809,164456808,263119790,141956734,141956733,154600634,141956731,128595734,114698871,100653652,258709198,73076454,86680937,260052685,128595731,128595732,261681184,272232897,100653647,114698865,112666335,112666332,98670940,84742252,84742250,71172831,259305829,270291771,58450558,47073414,47073415,58450554,259305827,84742255,84742256,270809469,269781225,58450561,58409279,47036746,37147731,28633589,255830703,15401695,21384984,28622297,255402579,10664175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9709488, s2 = 16275718, dlinesl.size( ) = 16 s1 = 8541812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8541812, s2 = 8994173, int(edited[s2]) = 0 s1 = 8541812, s2 = 8994173, d1 = 38, d2 = 40 Dl.O(d1) = 213028653,208311261,202592183,195788213,187844729,178736849,168427427,156977281,272221862,131352498,117552491,103423522,89330549,75572626,62633144,62633143,62633145,75572629 Dl.O(d2) = 243872176,267251096,267302306,244113599,267277478,243872183,243872182,244113598,274969402,244338308,267392127,267325136,244338317,244113606,244113607,244338320,244338322,244113608,244113609,244338313,244113603,243872188,243872187,243872181,243612745,243612744,243872178,243612751,243612750,243872190,244113605,244338318,244547476,244742200,267367252,245095238,245095237,245255057,245404962,245546108,267454158,267454156,267468948,245801545,245678326,267454160,267422370,245404963,245546110,245404965,267386758,245095239,245255060,245124865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8541812, s2 = 8994173, dlinesl.size( ) = 2 s1 = 8541812, s2 = 8994173, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8541812, Dl.E( ) = 42, 1.29e-05 seconds used appending s1 = 8698229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9529244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4106235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8469115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8469115, s2 = 4520931, int(edited[s2]) = 0 s1 = 8469115, s2 = 4520931, d1 = 20, d2 = 13 Dl.O(d1) = 15459261,10689067,10689068,15459262,21459026,28714689,34575837,26588697,19783836,14170472,9741680,9741681,14170476,256197281,28714684,28714685,37245692,47151044,47151078,47151079,52875010,42471083,33477334,33477335 Dl.O(d2) = 178841439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8469115, s2 = 4520931, dlinesl.size( ) = 2 s1 = 8469115, s2 = 4520931, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8469115, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 4521909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4521909, s2 = 3531835, int(edited[s2]) = 0 s1 = 4521909, s2 = 3531835, d1 = 11, d2 = 6 Dl.O(d1) = 195998167,188089026,179013506,260624454 Dl.O(d2) = 168726152,157282755,144869203,131623180,117798691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4521909, s2 = 3531835, dlinesl.size( ) = 12 s1 = 10166006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10166006, s2 = 9670039, int(edited[s2]) = 0 s1 = 10166006, s2 = 9670039, d1 = 48, d2 = 37 Dl.O(d1) = 59937471,48764081,48764082,58318212,55331733,44485724,40336365,37071474,37071464,37071462,46951291,58318239,60689702,60689703,57622000,46277657,36424998,36424997,46277656,57621999,47437521,47437520,57625062,53824658,43299507,34201478,26328309,26328312,26328424,19601033,14044754,14044755,255714751,26327961,34201110,43299151,53824372,257383097,36424996,27966496,20804064,14909813,14909811,20804061,27966492,30119089,22737243,19600892,14044644,14044643,19600884,14044639,14044637,19600880,16530261,11520631,11520630,16530259,19600646,19600645,14044520,9656922,6350035,6350034,9656919,255304535,14044837,255304589,26328205,19600857,19600859,26328207,26327981,256075868,19600873,19600874,19600904,14044655,9657014,6350089,254310821,1382343,1382342,2387894,3984252,6350082,9656908,9656909,14044499,14044502,19600651,19600878,26328223,26328025,26327949,26327950,26328216,26328185,19600837,19600838,14044735,9657066,254676123,6350044,254956239,19600708,26327998,24638484,18182690,12895336,8771117,8771116,12895333,16530257,254891117,8771094,12895304,18182643,14044726,14044431,14044432,19600570,255509954,14044591,267941503,3984247,3984246,6350068,9656977,14044587,19600775,26328107,254158364,17604967,23950719,19600970,14044703,14044704,19600662,14044506,14044504,19600656,18182650,12895365 Dl.O(d2) = 8407751,8407752,255573103,257078837,269876581,20947876,27284401,28133353,28133352,21011978,15091192,15091191,21011974,28203973,26165918,26165919,26636312,19824396,14200599,14200597,11510658,7657234,4845047,2919737,1693746,1693747,2919741,4845057,7657254,11510692,16516740,15588259,10783561,7125092,7125093,10783563,10783471,10783470,10783589,9494155,256685885,257836773,261488011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10166006, s2 = 9670039, dlinesl.size( ) = 48 s1 = 8460006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8460006, s2 = 11235716, int(edited[s2]) = 0 s1 = 8460006, s2 = 11235716, d1 = 38, d2 = 41 Dl.O(d1) = 257721513,258959491,103700013,117854438,131682542,144931317,144931319,144931320,144931321 Dl.O(d2) = 117854435,261133119,262080264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8460006, s2 = 11235716, dlinesl.size( ) = 54 s1 = 14165778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4183538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4183538, s2 = 14347097, int(edited[s2]) = 0 s1 = 4183538, s2 = 14347097, d1 = 83, d2 = 71 Dl.O(d1) = 157370900,144960820,260202824,103767014,103767013,272330567,260802060,259589642 Dl.O(d2) = 117665394,131469884,261003638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4183538, s2 = 14347097, dlinesl.size( ) = 34 s1 = 3988347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3988347, s2 = 7062015, int(edited[s2]) = 0 s1 = 3988347, s2 = 7062015, d1 = 34, d2 = 102 Dl.O(d1) = 145058847 Dl.O(d2) = 262040060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3988347, s2 = 7062015, dlinesl.size( ) = 72 s1 = 7085940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8637047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350171, s2 = 8536846, int(edited[s2]) = 0 s1 = 10350171, s2 = 8536846, d1 = 17, d2 = 17 Dl.O(d1) = 4948149,4948148,7802796,254423164,22980293,30382224,38968214,38968213,48888083,48888101,38968228,38968227,48888099,48888104,59452587,72190492,85784502,85784501,270921634,85784504,257726522,59452590,62963562,51288175,51288174,48142380,38232131,38232132,48142383,256050904,32297640,32297616,268713745,257726521,62963554,256588486,32297634,24686683,24686684,21328616,15356532,15356531,21328615,256066479,24538681,256576459,41628418,32722102,32722103,32722096,25035250,25035249,32722094,41628406,51931566,255240044,41628427,32722117,25035277,18501862,13144940,13144939,18501860,25035273,24443511,255240110,8685662,8424803,254830182,8898659,13058963,18385041,24883578,26940007,26939900,20054067,14368522,14368521,17634173,17634174,12456534,8424801,8424800,12456532,17634178,23981030,31477808,40162357,49464308,43293580,42648359,42648360,42282178,33300846,25538725,25538726,18926645,13492805,13492804,18926643,25538750,25538697,25538698,33300806,25932272,255288023,255288021,25932268,19270007,13773865,13773866,13839542,13839541,19350703,26027537,33848229,42835087,33799267,25985991,255290403,9472460,9472459,13773862,13773861,19270003,25932257,33300800,33300799,39281976,30685024,23268198,17004565,11917755,11917756,17004566,23268201,30685030,25538742,18926639,18926640,25538744,33300867,42282200,257264332,42897233,33852247,26031092,26031093,255586420,53363262,257093622,87833569,74228705,74228704,86578928,270345100,61665150,50179784,40154737,31470515,31470514,40154736,43925983,34652668,26661096,19846460,14218565,14218564,19846458,26661090,34652661,43925969,39876905,31195751,31195752,35127965,27040805,20147739,14452808,14452807,20147737,27040800,27061979,27061978,33510754,42510256,44505547,44505548,55351674,258534375,89745557,103849879,117995304,123702903,109511169,95257013,95257014,103849928,103849927,117995349,117515215,103390332,103390333,261355091,156930284,168384509,157517424,145082695,131823360,117995351,117995350,260805479,145082699,157517427,168980997,179267797,262207266,188319313,179267794,262343056,165399268,261292934,144532104,150470465,150470464,162596031,173623229,163554487,163554466,151673371,151673370,163554464,262644888,151673433,151673434,163554522,174397585 Dl.O(d2) = 4948149,4948148,7802796,254423164,22980293,30382224,38968214,38968213,48888083,48888101,38968228,38968227,48888099,48888104,59452587,72190492,85784502,85784501,270921634,85784504,257726522,59452590,62963562,51288175,51288174,48142380,38232131,38232132,48142383,256050904,32297640,32297616,268713745,257726521,62963554,256588486,32297634,24686683,24686684,21328616,15356532,15356531,21328615,256066479,24538681,256576459,41628418,32722102,32722103,32722096,25035250,25035249,32722094,41628406,51931566,255240044,41628427,32722117,25035277,18501862,13144940,13144939,18501860,25035273,24443511,255240110,8685662,8424803,254830182,8898659,13058963,18385041,24883578,26940007,26939900,20054067,14368522,14368521,17634173,17634174,12456534,8424801,8424800,12456532,17634178,23981030,31477808,40162357,49464308,43293580,42648359,42648360,42282178,33300846,25538725,25538726,18926645,13492805,13492804,18926643,25538750,25538697,25538698,33300806,25932272,255288023,255288021,25932268,19270007,13773865,13773866,13839542,13839541,19350703,26027537,33848229,42835087,33799267,25985991,255290403,9472460,9472459,13773862,13773861,19270003,25932257,33300800,33300799,39281976,30685024,23268198,17004565,11917755,11917756,17004566,23268201,30685030,25538742,18926639,18926640,25538744,33300867,42282200,257264332,42897233,33852247,26031092,26031093,255586420,53363262,257093622,87833569,74228705,74228704,86578928,270345100,61665150,50179784,40154737,31470515,31470514,40154736,43925983,34652668,26661096,19846460,14218565,14218564,19846458,26661090,34652661,43925969,39876905,31195751,31195752,35127965,27040805,20147739,14452808,14452807,20147737,27040800,27061979,27061978,33510754,42510256,44505547,44505548,55351674,258534375,89745557,103849879,117995304,123702903,109511169,95257013,95257014,103849928,103849927,117995349,117515215,103390332,103390333,261355091,156930284,168384509,157517424,145082695,131823360,117995351,117995350,260805479,145082699,157517427,168980997,179267797,262207266,188319313,179267794,262343056,165399268,261292934,144532104,150470465,150470464,162596031,173623229,163554487,163554466,151673371,151673370,163554464,262644888,151673433,151673434,163554522,174397585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350171, s2 = 8536846, dlinesl.size( ) = 2 s1 = 10350171, s2 = 8536846, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10350171, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11659364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659364, s2 = 8165000, int(edited[s2]) = 0 s1 = 11659364, s2 = 8165000, d1 = 0, d2 = 0 Dl.O(d1) = 168982137,157518560,145083914,131824724,259109302,89747621,75968471,62985852,256187158,24698033,18228513,13468724,13468725,12966459,8825411,5758151,5758152,8836424,12980906,18254085,12950896,8812090,5740575,4222990,2525058,2524972,1455181,1455184,2525025,4222934,3575052,3575048,5741432,8813424,12952598,13480498,18911748,25521314,33281488,42261199,52646790,64545952,77728140,91655692,105863608,120076228,133919558,147143977,159505307,170836018,180958015,189839498,197497829,264060804,91655179,77727616,64545477,257205288 Dl.O(d2) = 168982137,157518560,145083914,131824724,259109302,89747621,75968471,62985852,256187158,24698033,18228513,13468724,13468725,12966459,8825411,5758151,5758152,8836424,12980906,18254085,12950896,8812090,5740575,4222990,2525058,2524972,1455181,1455184,2525025,4222934,3575052,3575048,5741432,8813424,12952598,13480498,18911748,25521314,33281488,42261199,52646790,64545952,77728140,91655692,105863608,120076228,133919558,147143977,159505307,170836018,180958015,189839498,197497829,264060804,91655179,77727616,64545477,257205288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659364, s2 = 8165000, dlinesl.size( ) = 2 s1 = 11659364, s2 = 8165000, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659364, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7705391, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8082632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8150170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4185902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4185902, s2 = 15578970, int(edited[s2]) = 0 s1 = 4185902, s2 = 15578970, d1 = 12, d2 = 13 Dl.O(d1) = 157563820 Dl.O(d2) = 46977174,46977175,58346485,71062795,72316545,59581855,53824245,43299026,34200963,34200964,43299028,53824248,256725596,71321837,257009266,47197097,58588449,53884923,255963680,34260867,43360796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4185902, s2 = 15578970, dlinesl.size( ) = 2 s1 = 4185902, s2 = 15578970, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4185902, Dl.E( ) = 20, 1.29e-05 seconds used appending s1 = 4185995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9697381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9697381, s2 = 11388031, int(edited[s2]) = 0 s1 = 9697381, s2 = 11388031, d1 = 1, d2 = 1 Dl.O(d1) = 698250,391882,391883,698252,1233199,2136676,3585133,5757198,8835048,12979039,18286085,24763004,24770093,18291294,12982908,12982909,18291299,24770098,21338414,255625560,17943790,17943789,255262852,29626743,29626744,32392606,24770170,18291360,18291361,24770173,24335215,24335214,31857214,24335175,24335176,17945531,12716190,8640127,5619165,3490792,2073565,2073566,3490795,5619171,8640139,12716203,15661762,17945618,17945619,21702455,15661763,10841965,8640174,5619187,3490804,2073570,2073569,3490802,5619183,8640168,12716244,17945614,21369663,21369664,24335222,254896240,24335170,17945502,17945503,24335172,25130327,25130328,32835642,39969400,31295037,23809249,17943791,12715122,8639392,8639393,12715124,254290934,7020871,7020870,10635581,15389617,21369666,15661769,10841969,7167417,7167415,8322249,8322251,8640165,8640163,12716241,17945607,24335325,31857367,32392588,41215431,47746318,37824291,29259210,268218119,15850311,21938280,28985505,21702472,15661773,10841973,10841972,15661771,12321098,8322307,8322308,12321099,17475826,23243711,18018827,12770897,8680526,5648395,5648394,8680522,8322276,5370051,254269699,1109107,1109108,1941626,3301258,5370065,8322296,8680517,5648391,5648392,8680518,12770892,18018817,17475707,17475706,23809110,31294888,29259214,21938284,15850315,10984984,10984985,15850317,21938287,29259219,32383319,41203633,51396524,63088650,76089509,89890876,104016524,118172760,131990134,261919711,157633680,169076069,179347355,188385746,196259489 Dl.O(d2) = 698250,391882,391883,698252,1233199,2136676,3585133,5757198,8835048,12979039,18286085,24763004,24770093,18291294,12982908,12982909,18291299,24770098,21338414,255625560,17943790,17943789,255262852,29626743,29626744,32392606,24770170,18291360,18291361,24770173,24335215,24335214,31857214,24335175,24335176,17945531,12716190,8640127,5619165,3490792,2073565,2073566,3490795,5619171,8640139,12716203,15661762,17945618,17945619,21702455,15661763,10841965,8640174,5619187,3490804,2073570,2073569,3490802,5619183,8640168,12716244,17945614,21369663,21369664,24335222,254896240,24335170,17945502,17945503,24335172,25130327,25130328,32835642,39969400,31295037,23809249,17943791,12715122,8639392,8639393,12715124,254290934,7020871,7020870,10635581,15389617,21369666,15661769,10841969,7167417,7167415,8322249,8322251,8640165,8640163,12716241,17945607,24335325,31857367,32392588,41215431,47746318,37824291,29259210,268218119,15850311,21938280,28985505,21702472,15661773,10841973,10841972,15661771,12321098,8322307,8322308,12321099,17475826,23243711,18018827,12770897,8680526,5648395,5648394,8680522,8322276,5370051,254269699,1109107,1109108,1941626,3301258,5370065,8322296,8680517,5648391,5648392,8680518,12770892,18018817,17475707,17475706,23809110,31294888,29259214,21938284,15850315,10984984,10984985,15850317,21938287,29259219,32383319,41203633,51396524,63088650,76089509,89890876,104016524,118172760,131990134,261919711,157633680,169076069,179347355,188385746,196259489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9697381, s2 = 11388031, dlinesl.size( ) = 2 s1 = 9697381, s2 = 11388031, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9697381, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6881281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6973871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6973871, s2 = 14299133, int(edited[s2]) = 0 s1 = 6973871, s2 = 14299133, d1 = 13, d2 = 19 Dl.O(d1) = 260814369 Dl.O(d2) = 264603351,217086215,265457489,227207574,228953769,227207572,265504180,222908240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6973871, s2 = 14299133, dlinesl.size( ) = 20 s1 = 2676285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2676285, s2 = 11519084, int(edited[s2]) = 0 s1 = 2676285, s2 = 11519084, d1 = 78, d2 = 49 Dl.O(d1) = 269946385,76151967,260816023 Dl.O(d2) = 234350194,233251199,232037698,230690602,265794308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2676285, s2 = 11519084, dlinesl.size( ) = 98 s1 = 9472382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9472382, s2 = 8713255, int(edited[s2]) = 0 s1 = 9472382, s2 = 8713255, d1 = 38, d2 = 35 Dl.O(d1) = 272258866,260110668,90028186,104153629 Dl.O(d2) = 264330145,203066813,264558138,263967360,179461019,179461018,188486484,196346242,203066813,264558140,264330149,213320674,274359190,213320674,265035968,203066818,264330151 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3992088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3992088, s2 = 7293697, int(edited[s2]) = 0 s1 = 3992088, s2 = 7293697, d1 = 0, d2 = 9 Dl.O(d1) = 145355663 Dl.O(d2) = 265073287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3992088, s2 = 7293697, dlinesl.size( ) = 14 s1 = 3992093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3992148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8514931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3992358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3992358, s2 = 14078432, int(edited[s2]) = 0 s1 = 3992358, s2 = 14078432, d1 = 13, d2 = 10 Dl.O(d1) = 145384824,157785484,169217699,179474518,260259700,179474525,169217708,157785492,145384828,257184562,90055055,256115042,118341056,269494936,157785494,156886958,144474421,144474420,132155742,118341065,104184260,104184261,257184564,145384864,157785496,157785495,169217712,260259696,188496636,260855674,188496639,260855676,179474581,169217754,157785534,145384862,258388672,145384832,157785500,159126041,170469303,169217716,157785502,145384834,145384833,156886960,258388670,145384861,259015600,179474579,188496633,179474520,169217704,157785490,145384827,145384826,157785487,159126042,159126041,170469303,169217716,157785502,145384834,145384833,156886960,157785506,157785505,259643002,188496646,179474576,169217750,157785529,157785528,169217749,179474574,188496689,196354046,188496641,259643000,157785501,145384834,145384833,156886960,257773852,132155738,145384843,157785512,259015600,179474579,188496633,179474520,169217704,157785490,145384827,145384826,157785488,169217702,169217713,179474530,188496638,261423970,188496690,179474576,169217750,157785529,157785528,169217749,259643010,169217731,259643012 Dl.O(d2) = 260259694,179474523,260855672,160653608,171841474,181806714,260855688,259643008,144474421,144474420,145384851,145384844,145384843,157785512,259015600,179474579,188496633,179474520,178677671,178677672,187799212,188496667,179474550,169217730,157785514,145384846,145384845,145384842,145384843,157785512,259015600,179474579,188496633,179474520,169217704,157785490,145384827,145384826,157785487,159126042,159126041,170469302,180608019,260855678,188496685,260855694,169217740,157785525,157785522,169217735,260855692,196354048,260259698,179474536,260855680,188496684,179474566,169217740,157785525,157785522,169217736,169217744,169217745,171841476,160653615,148391191,135224864,135224858,135224859,148391183,145384844,145384843,157785512,259015600,179474579,188496633,179474520,169217704,157785490,145384827,145384826,157785487,159126042,159126041,170469303,169217716,157785502,145384834,132155729,118341058,118341057,257773848,157785498,145384860,132155747,132155748,145384861,259015600,179474579,188496633,179474520,169217704,157785490,145384827,145384826,157785487,159126042,159126041,170469303,169217716,157785502,145384834,145384833,156886959,259015598,260259704,157785529,157785528,169217749,179474574,188496689,196354052,188496649,179474538,169217721,157785507,157785508,157785512,259015600,179474579,188496633,179474520,169217704,157785490,145384827,257184560,90055055,255252058,51518683,41301198,32458544,32458545,41301201,51518687,255252056,63231805,255652824,90055054,104184256,115557467,101528117,87570389,73972215,61193735,49715061,39696338,39696337,49715059,61193734,73972214,87570388,86393700,72797712,258056182,48662373,40970603,32191081,32191082,40970605,48662375,268648197,30158442,36778700,28282627,28282628,29564060,29564023,22218384,268084087,7412655,4683896,4683897,7412594,7412617,7412615,8296622,12285212,17430047,12297731,8305709,8305710,12297713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3992358, s2 = 14078432, dlinesl.size( ) = 2 s1 = 3992358, s2 = 14078432, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3992358, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 8470633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3992519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3563809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3563809, s2 = 11315356, int(edited[s2]) = 0 s1 = 3563809, s2 = 11315356, d1 = 1, d2 = 0 Dl.O(d1) = 120076253,120076252,258299054,103712463,104214740,104214741,118374084,132190906,145420805,272596408,176400153,165737292,153963571,153963572,165737295,176400156,185838100,194068236,201120057,207062033,201247747,194210719,185995230,185995229,194210717,201247744,263351520,216046585,219353073,222147064,224546122,226630130,228446435,230043036,231459452,232728432,233875652,234921045,235873024,236740775,266471472,238585225,237899297,237143966,236314535,235406447,234411152,233317881,266107126,229270405,227571585,225629597,223396903,220814649,217782034,214149320,209725252,204330628,263870676,181486312,171473072,160258573,148010612,134890816,121089300,106829856 Dl.O(d2) = 2318580,2341500,2341238,2341241,2342019,2342018,3911922,6248670,9526018,13883758,19406775,26096026,33929254,42982886,257841077,78807332,92913360,98141408,84247810,70695993,57978108,46601105,46601106,57978110,49069577,39139203,30540111,30540110,29371272,22040291,22040293,29371275,37937617,39411313,39411312,39179720,30582026,28919291,28919290,30798621,39401858,38252076,38252075,38372488,268498294,38372565,29800529,22434198,16266425,11309485,7508537,7508538,11309489,16266439,22434232,29800593,26012194,19337810,13829057,13829056,19337803,26012178,33312349,25550955,18938476,18938475,25550953,33312344,29800437,22434138,22434139,23560005,31042698,39720276,255856752,21103336,15158770,10454108,10454107,7992999,7993000,11942109,17027048,21075355,28280101,23035011,16791163,16791162,23035009,21075280,21075279,20229179,20229144,20229146,27135623,35230089,44611166,55459572,258542403,95328125,109583324,123773534,137497715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3563809, s2 = 11315356, dlinesl.size( ) = 2 s1 = 3563809, s2 = 11315356, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3563809, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 3993246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3993638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3993638, s2 = 14318318, int(edited[s2]) = 0 s1 = 3993638, s2 = 14318318, d1 = 231, d2 = 197 Dl.O(d1) = 145611904,158013287 Dl.O(d2) = 35167686,44545330,43071054,34013243,26171488,26171489,32149674,32149673,257129983,40728279,40728278,40927162,37163240,256598628,7037858,7037859,10657551,15417506,21404988,19470621,13935291,13935292,18901861,13470307,9212035,9212034,10010219,6579147,4121964,254475491,10010216,14548114,20276187,27203764,35328838,44756680,256323101,28646858,256762065,44756672,55666962 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3778708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3778708, s2 = 13222080, int(edited[s2]) = 0 s1 = 3778708, s2 = 13222080, d1 = 1, d2 = 1 Dl.O(d1) = 259700470,104417018,118600938,132440384,261930683,262008470,147963144,134841969,121042433,106787071,92479739,92479738,260316233,115558814,260693605,134841970,134841972,147963146,152768449,262667427,142755782,129436651,115558808,115558809,129436652,142755783,155347260,158084544,158084545,155347248,142755772,260693601,87571525,87571524,101529361,115558798,260316230,92479731,98889112,98889113,112876879,112876875,112876874,126729304,140077592,152768451,164603084,175363011,184911464,186407563,186407565,177051018,166468930,154762857,142129758,260661839,100828862,86847702,258198279,49084849,49084848,60488031,61194756,49716099,49716098,49716096,256496471,23539133,17231145,12113026,8144512,8144511,8144513,12113027,255543285,23539136,23539228,17231201,12113056,8144527,267992595,12113069,12113070,12113066,8144533,8144534,12113068,255543289,17231211,12113063,12113062,17231209,23539236,31020361,26666480,19850939,19699309,14124485,255310117,26438668,34317449,36472696,28012299,20846579,14946159,14946158,20846577,254686136,255323966,268336492,29235800,21918139,15834329,10972967,268477296,29235799,37798499,47719140,59116540,59116537,47719138,47719137,59116535,71854372,85439108,99379820,113380147,111873673,258141732,84064215,256409996,57825366,46468697,36601918,28128120,28128121,36601920,41702485,48334809,39774226,254779254,23612438,31096248,39774470,49794153,47430870,37523414,37017582,28519584,21298703,15629587,15629586,21665232,28944025,32786507,267790814,23037592,23037591,30445166,39034608,46789193,254779238,48827004,57780702,255080252,46789292,38373929,29802006,22435809,16268162,16268161,22435806,29802001,38373927,29863281,22793535,16577111,16577112,22509723,22509724,29863284,29863283,35019840,39383662,42144450,42144449,52502750,59704228,48950233,39027807,39027798,30438291,23031600,21614508,21614510,28890594,29576412,22228956,16094917,11179019,7417280,7417281,11179022,16094924,22228965,21192374,15229087,15229089,21192380,22972978,16736455,11692997,11692994,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,23645696,17580675,12408651,12408649,15157542,21101743,28312102,21192421,21192420,28414156,36807587,28310730,21100640 Dl.O(d2) = 259700470,104417018,118600938,132440384,261930683,262008470,147963144,134841969,121042433,106787071,92479739,92479738,260316233,115558814,260693605,134841970,134841972,147963146,152768449,262667427,142755782,129436651,115558808,115558809,129436652,142755783,155347260,158084544,158084545,155347248,142755772,260693601,87571525,87571524,101529361,115558798,260316230,92479731,98889112,98889113,112876879,112876875,112876874,126729304,140077592,152768451,164603084,175363011,184911464,186407563,186407565,177051018,166468930,154762857,142129758,260661839,100828862,86847702,258198279,49084849,49084848,60488031,61194756,49716099,49716098,49716096,256496471,23539133,17231145,12113026,8144512,8144511,8144513,12113027,255543285,23539136,23539228,17231201,12113056,8144527,267992595,12113069,12113070,12113066,8144533,8144534,12113068,255543289,17231211,12113063,12113062,17231209,23539236,31020361,26666480,19850939,19699309,14124485,255310117,26438668,34317449,36472696,28012299,20846579,14946159,14946158,20846577,254686136,255323966,268336492,29235800,21918139,15834329,10972967,268477296,29235799,37798499,47719140,59116540,59116537,47719138,47719137,59116535,71854372,85439108,99379820,113380147,111873673,258141732,84064215,256409996,57825366,46468697,36601918,28128120,28128121,36601920,41702485,48334809,39774226,254779254,23612438,31096248,39774470,49794153,47430870,37523414,37017582,28519584,21298703,15629587,15629586,21665232,28944025,32786507,267790814,23037592,23037591,30445166,39034608,46789193,254779238,48827004,57780702,255080252,46789292,38373929,29802006,22435809,16268162,16268161,22435806,29802001,38373927,29863281,22793535,16577111,16577112,22509723,22509724,29863284,29863283,35019840,39383662,42144450,42144449,52502750,59704228,48950233,39027807,39027798,30438291,23031600,21614508,21614510,28890594,29576412,22228956,16094917,11179019,7417280,7417281,11179022,16094924,22228965,21192374,15229087,15229089,21192380,22972978,16736455,11692997,11692994,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,23645696,17580675,12408651,12408649,15157542,21101743,28312102,21192421,21192420,28414156,36807587,28310730,21100640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3778708, s2 = 13222080, dlinesl.size( ) = 2 s1 = 3778708, s2 = 13222080, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3778708, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4189154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4189659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3541448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8592989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9502528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9502528, s2 = 2993102, int(edited[s2]) = 0 s1 = 9502528, s2 = 2993102, d1 = 16, d2 = 4 Dl.O(d1) = 169599177,262022910 Dl.O(d2) = 90466080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9502528, s2 = 2993102, dlinesl.size( ) = 8 s1 = 6779009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10249895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7907655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7907655, s2 = 8663886, int(edited[s2]) = 0 s1 = 7907655, s2 = 8663886, d1 = 42, d2 = 3 Dl.O(d1) = 19071725,13615492,13615491,16578855,11559374,11410354,7582281,7582282,11410356,7623305,4823260,4823259,7623303,7215237,4546046,2732831,2732830,3482301,2067128,2067125,2067143,1186555,1186554,2067142,254422725,8624560,12695258,17918361,13379657,13379658,11616087,7735383,4897466,4897467,7735384,11557786,7691216,4867098,4865503,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967573,967575,966014,966013,1698981,1699532,1701067,2932974,4867379,7591885,7729788,11423482,10714651,7078606,7078603,10714642,254784275,254359393,2891980,4797877,6814448,4274197,4274198,6814455,7583067,7583069,4807129,2929460,2929459,4861442,7683284,11548695,11430430,255481479,29961980,268951879,86155237,100121541,104805269,118995305,273172500,273221875,169795038,272686255,90635029,104805647,260835309,261941143,146051731,273779040 Dl.O(d2) = 118995650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7907655, s2 = 8663886, dlinesl.size( ) = 28 s1 = 3996761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3996761, s2 = 4369431, int(edited[s2]) = 0 s1 = 3996761, s2 = 4369431, d1 = 1, d2 = 7 Dl.O(d1) = 146071119 Dl.O(d2) = 169804919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3996761, s2 = 4369431, dlinesl.size( ) = 2 s1 = 3996761, s2 = 4369431, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3996761, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14164868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164868, s2 = 7753326, int(edited[s2]) = 0 s1 = 14164868, s2 = 7753326, d1 = 11, d2 = 13 Dl.O(d1) = 269819458 Dl.O(d2) = 274413824,266126884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164868, s2 = 7753326, dlinesl.size( ) = 2 s1 = 14164868, s2 = 7753326, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14164868, Dl.E( ) = 32, 3.29e-05 seconds used appending s1 = 11658780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2664354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2664354, s2 = 7355879, int(edited[s2]) = 0 s1 = 2664354, s2 = 7355879, d1 = 0, d2 = 28 Dl.O(d1) = 75581123,75581124,89340121,260190815,130179387,258829288,50341548,40316255,31628526,24123145,24123146,31628528,39814487,31132274,31132275,39814489,49837755,52006428,260842063 Dl.O(d2) = 265782449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2664354, s2 = 7355879, dlinesl.size( ) = 36 s1 = 3619800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3619800, s2 = 8328209, int(edited[s2]) = 0 s1 = 3619800, s2 = 8328209, d1 = 31, d2 = 75 Dl.O(d1) = 125402496,138726206,273225655 Dl.O(d2) = 257172734,42608193,42608194,53055981,65038783,78318728,92352418,269067606,92352414,92352415,257761814,256618318,65038781,260405267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8570743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8570743, s2 = 9444407, int(edited[s2]) = 0 s1 = 8570743, s2 = 9444407, d1 = 38, d2 = 29 Dl.O(d1) = 50617649,50617651,62117238,74921288,88559935,102566427,261250189,261697574,262213889 Dl.O(d2) = 259418292,71281494,258224398,58550058,47161496,37256222,37256223,258060945,259312329,112770769,112770767,112211073,98232837,84325477,84325478,98232839,112211077,126067380,259901310,127547688,113677018,99664432,85716946,72132403,257510951,38104496,29541210,22197863,16068920,16068921,11159019,7401524,7401523,7401547,11159052,16070582,22199631,29542905,30335606,35432454,35432453,35432562,32482652,32482651,29388331,29388330,28979586,27300196,24147199,24147200,27299853,20361063,20361061,23165429,23165430,24842430,32484360,32143654,24561147,19420897,16489288,16489287,18122126,16837922,16837923,23092867,30507788,255656716,40920926,51061476,62690795,55800693,55800585,44871110,255951732,33815019,33815020,42856376,37822871,37822872,29257910,21937204,21937202,29257908,25998061,19326323,13820145,13820144,19326320,25998059,27299753,27299754,35432079,33814878,30753634,30753635,39354168,49281011,53319072,49037964,49037963,60441944,58141822,255467722,43293187,43293189,53818374,65318873,61561880,50081354,256929218,61561177,257833938,54679699,43937226,34663384,26670532,19854006,19854005,26670528,34663381,256360152,34663358,43937195,257401240,50412049,50412050,57965373,57828478,55480095,50246685,50246684,50246790,40226795,40226797,50246792,40226809,31540462,28130218,28130219,256284112,50412064,40377510,40377509,50412062,41046782,32253657,24654329,24654330,32253659,256284118,43937135,34663305,26670467,26670466,34663304,43937130,46470681,57827327,70529352,57827311,46470670,36603958,28130087,28130086,33022295,25296072,18721703,18721702,254551776,7771871,4924793,2970181,2970184,4924770,4923841,4923843,7770678,11659330,16698624,16700576,11661158,7772489,7772488,9145008,9145009,13379464,16699366,16699367,13379407,9144969,5984426,5984427,9144973,13379414,18784889,267897362,17684660,12506951,12506950,12506973,8472488,5476573,3370057,3370056,5476571,8472483,12506963,17684677,16703858,16703857,22260873,29611261,30335464,30335463,25728710,19097064,13634470,9336279,9336280,13634472,19097070,25728722,33507071,27145971,22933753,22933750,19548365,19548364,19548358,19548357,26268932,34135301,28789649,28789648,37326061,47234880,44426206,35051579,255950764,20084446,26970176,22693518,16491838,11490456,7642375,7642376,11490459,16491841,22693522,30073549,26970194,20084459,20084458,26970193,30334623,22933739,22698098,22698099,22698096,16495241,11492730,7643781,4835721,2913783,2913784,4835725,7643788,11492740,13190854,13190853,10744250,10744251,11490448,11490449,16491825,15535483,11492402,7865514,7643554,7643551,11492384,255488793,8301684,254400179,1935824,254268921,254590615,6267078,9551253,13916095,17474604,269845616,29710627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8570743, s2 = 9444407, dlinesl.size( ) = 42 s1 = 10163289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8650316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8650316, s2 = 13633122, int(edited[s2]) = 0 s1 = 8650316, s2 = 13633122, d1 = 52, d2 = 34 Dl.O(d1) = 189139396,189139392 Dl.O(d2) = 119254970,133084237 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9599180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9599180, s2 = 9681376, int(edited[s2]) = 0 s1 = 9599180, s2 = 9681376, d1 = 0, d2 = 0 Dl.O(d1) = 226303336,224179468,221729883,218874958,273960632,206393876,263437158,184822574,175259030,175259029,184822573,193173043,200339955,261414578,189153385,189153384,180215725,170052647,158695731,146327560,133100222,119270362,105077258,90897170,77017189,63905553,52086172,41771889,32850591,32850590,37319048,28783074,28783075,37319051,41771893,32850594,25143792,18588329,13209430,9004473,5878081,3669772,2196555,1276113,1276116,1276131,1276129,2196592,1309755,747673,424849,239814,132568,72068,254073554,239817,424855,747686,1309780,1402489,798054,798053,1402486,2424650,1403863,798924,452841,452842,798926,1403867,254076422,6470218,9849650,9849649,9187620,9187621,13438367,18861383,25461579,32831821,26898187,26898188,34977541,38060003,33209581,32831848,32831849,29496795,25126925,18574437,18574435,18861529,25126848,25126850,32831861,41752927,42169416,33209544,33209543,33193355,33160751,25419683,18827709,18827710,25329568,18749973,13714654,13714653,19202441,18850524,13430621,9182530,6010022,3758974,3758976,6010027,6010028,9182538,8324856,8324857,12324128,17479685,23813954,31300151,267931188,13430665,9182558,9182557,13430662,18850581,25419432,25419431,18830309,18830310,18834774,254649434,25423516,18834721,13419473,13419474,18834723,20797993,14904942,10248183,10248182,13419482,13419480,13419481,18834731,25428350,27001324,27001325,33163865,33163864,42120124,42112460,33158005,25417067,268491481,36417626,33228884,25480309,18878236,18878237,25480310,33228886,42189165,52547934,52571078,46863747,46863748,58231684,53241223,42789950,42789951,52513583,50227103,40205460,31519162,24017600,255314434,22330917,255088087,7467984,7467986,11250098,268225033,15197690,15197689,21152551,25483820,33232442,35195989,31478920,31478922,37658493,29108687,21809903,21809904,21149698,18685228,13292248,13292247,18685226,256522465,31353782,36866891,41540503,37908394,29339632,29339633,36864113,28367372,21150845,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,22141328,22141327,28369267,28367716,21151121,255018507,10481850,15196760,255811809,23601073,31085069,36865895,36867290,28370264,28370265,23801481,23801480,21152990,21152992,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474783,16949064,16949062,23217472,23222493,30644965,36867316,28370314,23218030,16945525,11859918,11859917,16945523,16948568,16946646,254816185,5039126,3050803,3050804,5039129,7926802,11860616,16946661,12227252,8255342,5325595,3273356,3273354,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,7927421,7927411,7927346,5039383,267900301,11861049,10324313,10324312,7928052,5039748,5039747,7928048,11862809,16948782,18845975,18845974,25442685,23219206,16946516,11860521,7926758,5039105,3050793,3050792,5039101,6940831,6940830,10524260,15254827,21224798,19104763,13640421,9340655,9340653,13640417,19104758,25737777,31165618,30645452,28369730,28369731,36866983,46746844,36985114,36985115,46863625,46863739,36985231,28488392,28488391,36985229,46863735,44358292,44358291,55208919,67552647,81022400,70948880,70948881,70948912,58231655,46863708,46863707,58231653,64418035,52543686,52543685,64418034,61445795,61445796,74225394,87830414,87830411,81075353,254153908,44417579,35043103,26962795,20078646,14396131,9902289,9902288,14396128,20078668,256216685,44417587,55265244,67607057,55265307,55265306,67607029,67607043,67607044,81075338,67607030,55265212,46282424,46282425,57626753,59159060,59159058,47760426,37837931,37837930,256268256,41971881,41971880,52312338,64163821,70317124,57626750,55265317,52312334,47760430,37837934,37837935,47760432,44066954,34750598,34750597,37837937,29271736,21948900,15859034,15859035,18872136,18872135,23702925,23702926,31192299,23702900,17380355,254217434,5337577,5337578,8271872,12247589,17380366,23702914,31192300,37837947,47760438,254703500,31192305,23702907,17380360,17380359,23702904,23702884,17380344,254479854,31192284,39874192,40039599,254914668,39874225,42177940,254694360,36417372,36417373,46269993,47346316,47346315,44359935,44359936,255321182,40243867,40243868,50263346,44350429,34973154,26894143,26894142,34973151,44350425,55200869,55211456,52007960,41696309,34982345,26902514,20019862,14338632,9850595,9850596,14338633,9967803,9967804,14487019,9968585,6551557,4104318,2454995,1419125,807286,739761,739758,1296097,1403168,798544,254083804,1403825,1403824,2426722,2426861,1403918,798953,798952,1403917,1404063,1404062,2427097,3751192,2425581,2425582,1403125,798518,452616,452615,798510,798797,798796,452782,255229,141334,77431,77430,141329,255221,452769,798781,1403578,812205,812206,1427905,2470401,4129815,6467585,4053541,4053543,3725408,2230510,2230509,3725405,2426498,2426499,4052383,6467536,6470555,254152448,1404028,799016,799015,1404027,2427040,4054823,4053789,4053788,267759772,4055040,6470783,9774590,6592593,6592592,9848072,6468155,6468154,4053706,4053707,6469369,6469370,9196161,9196160,13447872,14337785,18871806,13447928,9196238,9196239,6469606,6469607,6469671,4054003,4054002,6469668,9849890,13182862,9850870,6470548,6469610,6469611,9849738,6470547,6470546,9850867,13390093,9153948,5990854,5990853,4054770,4054771,6470500,6468098,4052753,2425566,1403097,1403098,2425596,4052799,6468150,9737209,9850875,9848017,6468084,6468083,9848012,9848023,6468089,6468088,4054072,267761912,1403646,2426462,4054069,6469762,9849993,14193368,14193369,10627180,8990498,8990495,254146716,268168495,4026290,4026289,2667370,2667368,4440917,6022660,5866904,5866903,8986490,13183054,9850094,9850093,13449769,13182322,13182321,254145648,6405817,6405819,9741857,14170639,18717992,18553053,13182803,8986232,8986233,13181270,13182412,15446627,18553002,20016256,26898188,34977541,38060003,33209581,25461721,25126843,18574291,18574290,254592632,267799618,33174825,25432111,25432109,23813923,23813924,31300119,32831785,25126776,18574235,13199261,13199262,18574238,25126781,32831790,25329571,18749976,13714654,13714653,19202441,18850524,13430621,9182530,6010022,3758974,3758976,6010027,6010028,9182538,8324856,5372444,3303279,3303278,5372441,8324850,12324123,13421366,9176362,9176360,13421357,13419236,13419238,18834433,25329582,25329583,19235225,13742587,9415637,9415638,13742589,19235230,25419405,31290987,26162721,19462441,19462440,26162720,34004502,43062517,52086170,41771885,254295446,25143786,32850587 Dl.O(d2) = 226303336,224179468,221729883,218874958,273960632,206393876,263437158,184822574,175259030,175259029,184822573,193173043,200339955,261414578,189153385,189153384,180215725,170052647,158695731,146327560,133100222,119270362,105077258,90897170,77017189,63905553,52086172,41771889,32850591,32850590,37319048,28783074,28783075,37319051,41771893,32850594,25143792,18588329,13209430,9004473,5878081,3669772,2196555,1276113,1276116,1276131,1276129,2196592,1309755,747673,424849,239814,132568,72068,254073554,239817,424855,747686,1309780,1402489,798054,798053,1402486,2424650,1403863,798924,452841,452842,798926,1403867,254076422,6470218,9849650,9849649,9187620,9187621,13438367,18861383,25461579,32831821,26898187,26898188,34977541,38060003,33209581,32831848,32831849,29496795,25126925,18574437,18574435,18861529,25126848,25126850,32831861,41752927,42169416,33209544,33209543,33193355,33160751,25419683,18827709,18827710,25329568,18749973,13714654,13714653,19202441,18850524,13430621,9182530,6010022,3758974,3758976,6010027,6010028,9182538,8324856,8324857,12324128,17479685,23813954,31300151,267931188,13430665,9182558,9182557,13430662,18850581,25419432,25419431,18830309,18830310,18834774,254649434,25423516,18834721,13419473,13419474,18834723,20797993,14904942,10248183,10248182,13419482,13419480,13419481,18834731,25428350,27001324,27001325,33163865,33163864,42120124,42112460,33158005,25417067,268491481,36417626,33228884,25480309,18878236,18878237,25480310,33228886,42189165,52547934,52571078,46863747,46863748,58231684,53241223,42789950,42789951,52513583,50227103,40205460,31519162,24017600,255314434,22330917,255088087,7467984,7467986,11250098,268225033,15197690,15197689,21152551,25483820,33232442,35195989,31478920,31478922,37658493,29108687,21809903,21809904,21149698,18685228,13292248,13292247,18685226,256522465,31353782,36866891,41540503,37908394,29339632,29339633,36864113,28367372,21150845,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,22141328,22141327,28369267,28367716,21151121,255018507,10481850,15196760,255811809,23601073,31085069,36865895,36867290,28370264,28370265,23801481,23801480,21152990,21152992,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474783,16949064,16949062,23217472,23222493,30644965,36867316,28370314,23218030,16945525,11859918,11859917,16945523,16948568,16946646,254816185,5039126,3050803,3050804,5039129,7926802,11860616,16946661,12227252,8255342,5325595,3273356,3273354,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,7927421,7927411,7927346,5039383,267900301,11861049,10324313,10324312,7928052,5039748,5039747,7928048,11862809,16948782,18845975,18845974,25442685,23219206,16946516,11860521,7926758,5039105,3050793,3050792,5039101,6940831,6940830,10524260,15254827,21224798,19104763,13640421,9340655,9340653,13640417,19104758,25737777,31165618,30645452,28369730,28369731,36866983,46746844,36985114,36985115,46863625,46863739,36985231,28488392,28488391,36985229,46863735,44358292,44358291,55208919,67552647,81022400,70948880,70948881,70948912,58231655,46863708,46863707,58231653,64418035,52543686,52543685,64418034,61445795,61445796,74225394,87830414,87830411,81075353,254153908,44417579,35043103,26962795,20078646,14396131,9902289,9902288,14396128,20078668,256216685,44417587,55265244,67607057,55265307,55265306,67607029,67607043,67607044,81075338,67607030,55265212,46282424,46282425,57626753,59159060,59159058,47760426,37837931,37837930,256268256,41971881,41971880,52312338,64163821,70317124,57626750,55265317,52312334,47760430,37837934,37837935,47760432,44066954,34750598,34750597,37837937,29271736,21948900,15859034,15859035,18872136,18872135,23702925,23702926,31192299,23702900,17380355,254217434,5337577,5337578,8271872,12247589,17380366,23702914,31192300,37837947,47760438,254703500,31192305,23702907,17380360,17380359,23702904,23702884,17380344,254479854,31192284,39874192,40039599,254914668,39874225,42177940,254694360,36417372,36417373,46269993,47346316,47346315,44359935,44359936,255321182,40243867,40243868,50263346,44350429,34973154,26894143,26894142,34973151,44350425,55200869,55211456,52007960,41696309,34982345,26902514,20019862,14338632,9850595,9850596,14338633,9967803,9967804,14487019,9968585,6551557,4104318,2454995,1419125,807286,739761,739758,1296097,1403168,798544,254083804,1403825,1403824,2426722,2426861,1403918,798953,798952,1403917,1404063,1404062,2427097,3751192,2425581,2425582,1403125,798518,452616,452615,798510,798797,798796,452782,255229,141334,77431,77430,141329,255221,452769,798781,1403578,812205,812206,1427905,2470401,4129815,6467585,4053541,4053543,3725408,2230510,2230509,3725405,2426498,2426499,4052383,6467536,6470555,254152448,1404028,799016,799015,1404027,2427040,4054823,4053789,4053788,267759772,4055040,6470783,9774590,6592593,6592592,9848072,6468155,6468154,4053706,4053707,6469369,6469370,9196161,9196160,13447872,14337785,18871806,13447928,9196238,9196239,6469606,6469607,6469671,4054003,4054002,6469668,9849890,13182862,9850870,6470548,6469610,6469611,9849738,6470547,6470546,9850867,13390093,9153948,5990854,5990853,4054770,4054771,6470500,6468098,4052753,2425566,1403097,1403098,2425596,4052799,6468150,9737209,9850875,9848017,6468084,6468083,9848012,9848023,6468089,6468088,4054072,267761912,1403646,2426462,4054069,6469762,9849993,14193368,14193369,10627180,8990498,8990495,254146716,268168495,4026290,4026289,2667370,2667368,4440917,6022660,5866904,5866903,8986490,13183054,9850094,9850093,13449769,13182322,13182321,254145648,6405817,6405819,9741857,14170639,18717992,18553053,13182803,8986232,8986233,13181270,13182412,15446627,18553002,20016256,26898188,34977541,38060003,33209581,25461721,25126843,18574291,18574290,254592632,267799618,33174825,25432111,25432109,23813923,23813924,31300119,32831785,25126776,18574235,13199261,13199262,18574238,25126781,32831790,25329571,18749976,13714654,13714653,19202441,18850524,13430621,9182530,6010022,3758974,3758976,6010027,6010028,9182538,8324856,5372444,3303279,3303278,5372441,8324850,12324123,13421366,9176362,9176360,13421357,13419236,13419238,18834433,25329582,25329583,19235225,13742587,9415637,9415638,13742589,19235230,25419405,31290987,26162721,19462441,19462440,26162720,34004502,43062517,52086170,41771885,254295446,25143786,32850587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9599180, s2 = 9681376, dlinesl.size( ) = 2 s1 = 9599180, s2 = 9681376, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9599180, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 7125248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6721421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8516793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8599630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8599630, s2 = 8556991, int(edited[s2]) = 0 s1 = 8599630, s2 = 8556991, d1 = 77, d2 = 41 Dl.O(d1) = 272693669 Dl.O(d2) = 159057174 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4002276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9739536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9739536, s2 = 7091986, int(edited[s2]) = 0 s1 = 9739536, s2 = 7091986, d1 = 1, d2 = 1 Dl.O(d1) = 52223102,64064425,77205409,259636101,270505477,260848699,146692958,159058478,262453915,180529254,189437209,180529257,180529256,189437211,189437214,180529258,180529259,189437215 Dl.O(d2) = 52223102,64064425,77205409,259636101,270505477,260848699,146692958,159058478,262453915,180529254,189437209,180529257,180529256,189437211,189437214,180529258,180529259,189437215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739536, s2 = 7091986, dlinesl.size( ) = 2 s1 = 9739536, s2 = 7091986, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9739536, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9681887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7004810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3789177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9059280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9456232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7092341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8594646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8594646, s2 = 11220864, int(edited[s2]) = 0 s1 = 8594646, s2 = 11220864, d1 = 22, d2 = 0 Dl.O(d1) = 264866222,180655894,262919646,170520983,261959033,260854401 Dl.O(d2) = 52289767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8594646, s2 = 11220864, dlinesl.size( ) = 20 s1 = 4199195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4199747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4200055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4200055, s2 = 14482554, int(edited[s2]) = 0 s1 = 4200055, s2 = 14482554, d1 = 5, d2 = 7 Dl.O(d1) = 159209435 Dl.O(d2) = 254121182,268091663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4200055, s2 = 14482554, dlinesl.size( ) = 8 s1 = 6976881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8084897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8084897, s2 = 10250119, int(edited[s2]) = 0 s1 = 8084897, s2 = 10250119, d1 = 106, d2 = 102 Dl.O(d1) = 37705545,37705490,37705491,37705434,29145302,21837571,15768010,15768011,21837573,29145304,37705436,29145447,29145446,37705481,39250724,255971131,16960570,16960569,21837562,21837561,22232621,16097711,11180877,11180879,16097713,22232624,29580457,38146654,39250731,39250730,37705415,37705416,39250649,31976228,31976226,40723281,31976220,24422570,18010523,12764057,254742428,24422572,30654809,30654810,30654881,30654882,37705444,29145313,21837581,15768020,15768019,16960546,23233396,30654847,37705409,29145275,29145274,23233437,268100625,11872484,16960576,23233442,30654898,37705406,37705405,47627681,39250650,30654795,255314834,16960492,16960491,18010534,24422582,255314836,268538398,255728054,11872420,11872419,254963992,7936040,5046522,5046521,7936037,260667599,273671380,260859681,105491747,91269364,91269363,91269562,91269563,260263813,133604464,119730630,271982574,126866410,258393022,85102515,71531399,71531398,85102514,99026936,113014682,115937876,101891728,87917636,74314175,256071658,40039724,31359739,23865704,23865705,268153638,50059205,61537509,64364850,269807752,259370130,258955242,112296785,257132940,70847004,58132691,58132690,70847002,84404441,257717916,258955240,152263217,164148846,174967279,184570851,262404812,167357562,260319934,129837421,115937901,101891744,87917647,74314184,74314183,77532917,269807750,105690206,119926908,133796497,147044830,159424187,170767497,180899936,189789917,263538908,264873627,219826502,216587250,263745468,202099489,195199122,262011770,167357559,155722955,143168894,259074842,101891742,258446306,129837419,143168897,155722957,272407116,273012344,202099491,207899892,212679914,216587252,219826504,264891178,274291315,273642652,202099487,262506464,261479130,167357556,260319932,129837416,115937899,115937897,129837413,121130960,106863306,260319931,134941210,148065092,160310409,273253795,190296172,264080282,216587278,216587277,273799714,264891154,225634410,223402148,220820235,273934944,209734194,204341876,197878477,190296169,181516230,171515397,160310407,148065089,148065088,160310405,262011768,181516225,181516224,190296161,197878469,204341871,204341872,209734190,214156780,212679939,207899913,207899912,212679937,216587276,219826533,273934926,222560602,219826535,219826536,220820233,217788429,214156785,209734193,204341874,197878475,190296166,181516228,181516229,187127264,177854532,167357577,155722975,143168916,129837438,258446294,155722978,167357579,177854534,187127265,195199142,202099511,262506414,195199144,187127271,187127272,195199146,202099516,207899917,212679941,216587282,219826537,222560607,220820230,217788427,214156783,209734192,263374162,197878473,190296164,262011744,187127270,177854536,167357582,270556814,115937927,101891769,87917672,87917674,101891771,115937929,270025468,155722981,167357585,177854538,187127275,195199148,202099518,262962740,216587285,264648546,217788424,214156781,273461766,207899920,202099520,195199150,187127277,271081236,258446296,257236956,256162090,74314204,87917676,101891774,112296789,257829374,70847005,70847006,74314188,61537515,50059208,50059209,61537517,257236964,101891751,259074846,143168908,155722966,167357567,262011774,195199131,262962742,184570856,260914386,152263223,259074828,112296787,98314154,258446298,126156757,129837425,115937909,269530472,87917652,258446312,129837431,143168906,260914402,176813192,260197192,141815596,258955132,114578432,114578433,128462625,141815595,271476820,152263218,139531866,126156754,126156755,139531869,152263221,164148850,174967284,177854525,260914400,143168901,129837427,115937910,115937911,129837430,143168904,155722962,167357565,166195561,259581782,128462632,114578438,100547634,100547633,114578436,128462628,269787408,88694684,75043485,62220293,50700231,50700232,62220295,75043488,88694687,102704255,116797151,126755808,112902976,98914958,84989542,71415654,71415653,84989539,98914956,112902975,126755806,140105143,152798287,164635916,155722991,143168920,143168919,155722988,154461671,141815599,128462635,114578439,100547637,86586490,72989208,60253640,48860820,48860819,60253639,72989203,86586487,100547630,88694681,88694682,102704250,103555734,89457181,259581821,89456851,89456852,103555395,89457172,259581818,258329656,269030438,105398442,119634480,129837450,115937936,101891779,101891780,256582182,258329660,177854540,187127279,187127291,178868891,168569164,157123252,144723509,260794011,103555744,89457186,75692067,257717903,51113218,62744555,270452297,103555740,103555738,103555737,269925166,119634482,105398444,91176596,77258130,64111495,64111496,74314213,87917684,101891783,115937941,129837457,258329664,177854552,187127295,261902402,178868890,168569162,157123247,144723502,131497092,117690991,117690992,131497097,144723505,261363642,187127282,177854542,167357588,155722993,143168926,129837453,115937937,115937938,129837455,143168928,258329662,259581822,260794012,272655960,208376308,202674625,195887998,187961431,178868885,168569159,157123244,144723500,131497091,261363641,157123245,168569161,178868888,187961434,271933776,207899925,272944142,212679952,261363644,195199162,187127290,177854547,167357594,155722996,155722995,167357592,177854545,187127289,195199160,202099527,274013153,219826558,222560626,224908857,264318990,230291172,230291171,230451444,228901466,274429119,220113341,220113340,222808861,225127842,227142808,228901463,230291156,228726286,226948188,224908846,222560612,219826545,216587288,261902398,202099523,195199155,187127286,187127287,195199157,202099525,261902400,273197598,273601074,226948195,228726297,230291174,230451443,230451400,230291177,228726299,226948198,224908854,222560622,219826553,216587292,212679946,212679947,216587294,219826555,263669520,216924153,220113332,222808858,225127839,224908844,273414322,262404712,262404714,219826543,222560609,264318988,264012588,219826549,219826547,222560617,224908851,226948192,228726294,230291167,230451351,230451350,231828595,233067187,234186704,235204608,266040960,236031796,235092265,234059342,232925858,231674485,230282294,230282292,228901456,227142805,227142806,228901458,230451439,231828665,233067238,231828653,230451425,228901448,228901447,230451422,231828650,231674463,231674462,232925844,232932807,231682341,230291160,228726288,226948190,224908848,264012586,228726292,230291164,231682347,232932811,234065739,234186708,274482744,265452916,226936436,226936437,228716128,230282296,231674488,232925861,234059346,234186739,233067247,231828661,230451432,228901451,227142796,225127834,265452914,228716111,230282285,231674469,232925854,234059334,233067198,231828609,231828608,233067197,265268636,231682344,230291161,230291162,265066196,234065737,233067192,231828600,230451358,228901420,228901421,230451391,231828630,233067217,234186729,235204629,266459632,234186722,234186720,235092268,235092267,236031799,235204636,234186737,233067244,231828659,230451428,230451427,231828657,232925851,231674467,231674466,232925848,231828612,230451374,228901399,227142737,227142735,228901396,230451369,274482742,233067183,233067182,231828602,230451362,228901383,227142771,274482741,266040959,233067211,231828623,230451383,230451384,231828626,233067213,234186725,235204627,235204612,234186707,233067190,231828597,230451355,265772689,225127772,222808785,220113254,216924071,213078619,213078618,216924068,220113251,222808778,225127767,222808790,220113257,220113258,222808794,225127778,227142741,228901402,230451376,230451329,228901358,227142762,225127800,222808829,220113300,216924130,216924129,220113298,222808827,225127798,227142758,228901412,228901414,227142768,225127805,222808835,220113305,264842509,208376305,202674621,202674622,208376244,202674560,195887932,187961344,187961343,195887930,202674557,208376239,264842501,220113246,222808774,225127757,227142710,227142764,225127803,222808832,220113303,216924133,213078685,208376303,202674618,195887990,187961423,178868867,168569135,157123221,144723481,144723482,157123225,168569139,178868870,187961425,195887994,263669511,178868794,168569065,168569064,178868792,187961342,195887927,264318981,264842499,220113243,222808772,220113295,265268635,220113287,216924108,216924106,216924105,274129705 Dl.O(d2) = 105491719,91269332,77349166,77349164,259647165,260859665,146860913,261427814,272655947,260859690,259647186,126866331,140212663,150552287,261004061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10250118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10250118, s2 = 8084896, int(edited[s2]) = 0 s1 = 10250118, s2 = 8084896, d1 = 102, d2 = 65 Dl.O(d1) = 91269417,259647187,260859691,272655946,261427815,144723041,260859664,259647164,75691585,75691589,89456651,103555165,260793967,144723060,264012567,273706405,164733399,260263756,126866285,126866284,140212615,133604394,119730552,105491921,91269498,259647205,119730554,261427871,159234362,152902492,140212597,140212598,152902493,164733383,175486456,185026063,261963964,260859654,259019784,58802364,47415181,37507380,28963980,28963982,37507386,47415189,58802380,269073694,71531363,71531362,269496240,113014594,126866294,260263766,164733411,261963982,273230910,272981280,175486454,164733379,260263742,113014566,99026844,85102449,71531347,58802362,47415178,47415179,58802363,257189018,99026845,259019782,140212600,260263764,164733408,175486476,177359637,166808540,155114039,155114038,166808536,177359634,185026081,175486468,164733395,261427822,185026060,185026059,188319352,179267846,168981050,157517476,145082751,260805487,117995406,131823422,117995404,103849994,103849993,117995402,261375057,157517474,168981048,164733413,164733412,175486479,185026083,175486471,175486470,264324897,202947607,202947603,196202783,188319326,262880479,261913807,131823385,117995379,117995381,131823387,261427826,152902508,152902507,260859682,259647180,126866306,260263772,261427832,175486454,164733379,260263742,126866268,260263740,164733376,175486450,185026058,177359637,166808540,155114039,155114038,166808537,177359636,170571630,159234185 Dl.O(d2) = 126866438,126866437,126866295,126866296,140212624,260859680,273671381,260667598,14200462,14200461,19824160,19824005,254963993,9761547,14200304,255728055,268538399,255314837,9761605,6418131,6418130,9761603,255314835,9761617,6418141,6418140,9761615,9761599,6418127,6418126,9761597,14200378,268100624,19824093,19824094,19824144,14200417,9761633,9761634,14200418,14200460,19824204,26636115,34625818,43897992,43897766,34625624,26635934,19824088,15621457,254742429,7141975,10808481,15621455,21656580,28934339,21656590,19824084,14200370,14200371,19824087,26635988,34625694,42297708,33317095,25555109,25555110,33317097,42297690,33317080,25555100,25555099,33317079,42297688,43897804,255971130,34625717,34625687,34625686,43897822,54640995,66898454,54641077,43897899,34625744,26636060,26636059,34625743,43897897,54641073,66898525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10250118, s2 = 8084896, dlinesl.size( ) = 58 s1 = 10215580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4202221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4202221, s2 = 10382807, int(edited[s2]) = 0 s1 = 4202221, s2 = 10382807, d1 = 22, d2 = 51 Dl.O(d1) = 159260051 Dl.O(d2) = 19772626,18887390,13459734,9204475,9204476,6403061,4017356,2407330,2407331,4017360,6403070,9737055,14162937,19773019,19772742,19772744,17937616,17937615,24325503,27234303,31350054,35177882,35177883,28658667,23355513,21273798,15312488,15312489,21273799,28490151,36986974,46865454,58233289,59435610,48043678,38130519,29564805,25056457,19085088,13625912,9330388,6111718,3824040,2291022,1329213,758901,758902,1329219,2291035,3824058,6111744,9330442,13626022,19085254,25713182,25712639,19084865,13625782,9330310,6111674,3824007,3824010,6111680,9330324,13625821,19084931,13626001,13626003,19085234,25713157,33487470,25712706,19084975,19084974,25712813,33487631,33488041,25713176,25713175,33487524,33487512,33487513,25712992,19085110,19085109,25712588,25713202,25713201,33487804,33487995,25713121,19085198,19085199,25713126,28493165,25074540,25074539,25712952,19085073,19085074,15314442,10577140,10577141,15314446,21276259,25712625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4202221, s2 = 10382807, dlinesl.size( ) = 20 s1 = 6960706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8157771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8157771, s2 = 10290861, int(edited[s2]) = 0 s1 = 8157771, s2 = 10290861, d1 = 108, d2 = 138 Dl.O(d1) = 42103424,52455918 Dl.O(d2) = 266788836,237498765,236706575,235837061,235837062,236706577,235837065,235837064,236706579,237498771,238217765,238872870,266855587,240546779,240963681,240479246,240479247,240963682,241412291,241827720,242211210,242565763,242565769,242211220,242211221,242565771,267088018,241827732,267082395,242565781,242261634,241881633,267041730,240546745,240030802,239474657,238872850,238217754,237498766,236706575,235837061,235837062,236706577,235837065,235837064,236706579,237498771,238217765,238872870,266855587,240546779,240963681,240479246,240479247,240963682,241412291,241827720,242211210 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9513215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8518771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9223443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9223443, s2 = 9182549, int(edited[s2]) = 0 s1 = 9223443, s2 = 9182549, d1 = 60, d2 = 56 Dl.O(d1) = 4949205,7804145,11700398,16745458,16742874,11698298,11698297,16742871,18278840,12973389,12973390,18278841,24753710,32372195,41190578,51380824,51380828,41190582,32372197,32372198,41190584,51380829,63069038,63069037,76063945,89857490,89857489,103975155,118124569,260811552,118124568,131939933,145177459,157593929,169044364,179321938,179321935,179321936,256634482,147074501,147074500,159449696,255656676,133829592 Dl.O(d2) = 231871543,231871542,230500801,230500800,230500808,228960588,227215846,225218763,222921146,222921145,225218762,225218755,222921140,220254339,217106635,213320703,208695954,203066855,203066854,273910897,213320706,264604557,208695951,208695953,203066853,196346289,196346288,188486546,179461087,169199731,157762038,261386659,132123637,127733301,113860471,99842940,99842939,113860468,104153820,90028389,269949691,59561223,48174568,38264978,29698992,29698991,38264976,257523893,258756669,99842934,260310581,106675811,92371767,258437525,65060094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9223443, s2 = 9182549, dlinesl.size( ) = 2 s1 = 9223443, s2 = 9182549, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9223443, Dl.E( ) = 62, 2.1e-05 seconds used appending s1 = 9686145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4012200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13702969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7211329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4019680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7641126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7641126, s2 = 8748152, int(edited[s2]) = 0 s1 = 7641126, s2 = 8748152, d1 = 79, d2 = 51 Dl.O(d1) = 270525051,261978951,159501132,168422489,156971789,260081844,260081846,144571007,131345577,117544475,117544474,131345576,144571006,156971792,168422490,168422491,156971794,144571008,131345577,117544475,117544474,131345576,144571006,156971793,156971782 Dl.O(d2) = 219151137,219151138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7641126, s2 = 8748152, dlinesl.size( ) = 2 s1 = 7641126, s2 = 8748152, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7641126, Dl.E( ) = 80, 4.01e-05 seconds used appending s1 = 9194100, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3196688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6812385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6812385, s2 = 14252509, int(edited[s2]) = 0 s1 = 6812385, s2 = 14252509, d1 = 18, d2 = 5 Dl.O(d1) = 258771204,256958140,47286738,269815964,58931998,64428772,268160982,33235362,42195583,52554413,64428774,77597668,91528654,257705200,91718724,271549163 Dl.O(d2) = 141045837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6812385, s2 = 14252509, dlinesl.size( ) = 20 s1 = 4209134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4209134, s2 = 9519553, int(edited[s2]) = 0 s1 = 4209134, s2 = 9519553, d1 = 1, d2 = 9 Dl.O(d1) = 159564810 Dl.O(d2) = 133982883,147205603,159564812,170892832,181011357,189888401,197542629,192304131,183826455,174157179,174157180,174157181,163307240,151429004,151429003,138733662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4209134, s2 = 9519553, dlinesl.size( ) = 2 s1 = 4209134, s2 = 9519553, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4209134, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11659786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8490207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8490207, s2 = 7627977, int(edited[s2]) = 0 s1 = 8490207, s2 = 7627977, d1 = 114, d2 = 94 Dl.O(d1) = 15842710,10978793,7266816,4582713,2757161,1598350,908662,512466,512465,491875,276041,276043,491882,872171,1536666,2656358,4426500,7035518,268611510,268918861,71143556,84713521,98643860,271771011,272832335 Dl.O(d2) = 269940910 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4016848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4016848, s2 = 11580858, int(edited[s2]) = 0 s1 = 4016848, s2 = 11580858, d1 = 5, d2 = 77 Dl.O(d1) = 147235490 Dl.O(d2) = 239182815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4016848, s2 = 11580858, dlinesl.size( ) = 100 s1 = 10340908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340908, s2 = 7868648, int(edited[s2]) = 0 s1 = 10340908, s2 = 7868648, d1 = 11, d2 = 8 Dl.O(d1) = 39369383,30768133,23345017,17078568,14165114,13029281,13029282,18352511,24848585,29876440,26584895,19780848,14168497,9740479,254465217,2407958,2407957,4018429,6404994,9740466,14168466,14163557,9737533,254465097,4017589,6403387,9737537,14163560,19773848,26576145,28833243,30769160,30769161,30767069,23345823,23345822,30768925,23346152,17079389,11992001,11992000,8044084,5134250,3121565,1824471,1824472,3121546,5134216,4017863,3121525,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,11991931,11991934,17079273,15393999,10639008,10639010,7023505,7023503,10639027,15394030,21375282,23344997,17078554,17078552,23344988,26585479,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403539,255311919,23345134,23345135,30768248,30770584,23347491,23347490,30770581,39369385,256088316,23347637,17080537,11992700,8044277,8044278,11992701,8622647,8622650,12692802,16070508,17174591,17174589,23451257,29552672,29552671,23451291,17174614,17174615,254848166,39488748,37379754,37379755,31261169,272259913 Dl.O(d2) = 272533175,112756144,98766090,270294685,28708408,256328221,25889801,19230254,13737916,9411635,254941163,9632760,14015099,9697736,9697737,14099675,19669364,19669368,19669370,255678712,19826269,26638303,34628217,28563937,26040405,256686757,30314847,24195215,17825982,12621546,12621548,17825984,13968315,9591495,6296774,6296773,9591490,13968307,17825956,12621524,12621526,17825958,13736197,9410400,6165565,6165564,9410396,13736191,19228298,19362210,19227504,13735552,9409975,6165330,3857849,2311267,1340922,1340924,765834,765835,1340980,2311380,3858045,6165660,7235050,4560959,4560957,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586738,16612025,22833066,25527406,18917840,18917839,25527404,30185934,254558894,24079882,17722695,12538527,12538530,17722699,17763819,17763818,21201189,15236039,15236038,17707238,17707237,17789699,12591347,12591346,12552680,8510866,8510865,12552677,17740859,21493064,21493066,17753044,17753042,12589766,8541421,8541425,12589760,12539082,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588861,12586377,8538685,8538683,5598701,3858093,3858090,6165712,5339599,5339600,8275420,8540572,5598678,3475205,3475203,5598672,4868679,2933795,2933797,4868686,7693536,11560697,12301081,12301080,12300664,8307966,8307967,12300656,12300840,17449957,23779985,31265064,33695575,39028074,30438608,30438607,254189784,31248845,24217766,17847324,12638614,8581023,267847676,8540909,8540911,8487615,5488619,5488620,254410312,5538749,5538794,8540778,254589758,11147380,16054536,17740575,12552478,8510757,8510756,12552472,12639132,10596920,10596918,11820821,11820822,16892487,12591452,12591453,17740218,17740219,24098948,31603038,254282094,31588911,24165891,24100260,17741642,12553238,8511198,8511196,9410690,8275409,5339587,3282074,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331050,6392848,6392847,9717673,14124931,19699914,17776327,12580732,12580736,12629764,8575079,8575076,12629752,17835560,17743350,12554518,12554517,12614350,12553039,12553037,8511090,8511094,8302911,8302916,11147459,7393734,7393735,8302817,12293205,12317819,8320198,5368830,5368829,8320195,6166096,6166095,6166103,6166105,9411322,13737455,19229681,19226747,13734874,13734873,12565889,8520916,8520915,12552476,8510757,8510756,12552472,12639132,10596920,10596922,15341971,17361998,12232083,254167538,5328608,3275350,1926504,1100739,1100741,1926519,3275384,3275567,3275569,5328888,8259824,12232485,14335092,20015464,254278074,17388363,12253325,8275475,8275476,12253331,17388372,12574538,12574537,17768892,17742822,12579506,8532720,8532721,12579514,15109519,21035872,24204004,18931816,13496562,9233688,6047382,6047380,9233681,13496554,18931805,17740657,15538513,15538512,17387943,17387944,23711489,21034199,15107990,15107991,21034207,17801468,17801467,24168766,17801203,12601088,12601090,12237084,8262944,8262945,12237075,17369162,13496647,13496645,15487481,15487483,12612639,8561087,8561089,12612646,17789070,17789066,24156138,24168931,24086088,24086087,31199769,23711741,23711742,23711723,23711722,24100445,23710285,22180103,16053904,11146968,7393462,4670916,4670917,7393466,11146978,12531665,12532800,8494331,8494332,12532803,17716201,24072656,24146424,24146423,31656318,40252287,31564773,24059027,17704103,16796558,16796557,12620211,8566723,8566722,8984115,254278164,18549982,25097712,26440593,19701319,14126086,9718466,6393345,6393344,9718462,14126085,12610235,11587305,11587306,16612695,20148399,20148402,17787906,12589854,12589858,12608060,8556979,8556982,8551664,8551662,12535049,9943848,9943846,8484112,8484108,12522343,9187818,9187817,13438708,18861926,25462265,19836663,14211279,14211275,19837349,20151009,20151008,27043596,24072618,24071816,20148680,14453577,14453575,17837552,16612428,11587095,11587096,16612434,14128146,9719742,9719741,14128142,19704129,17718656,12535299,12535301,17718661,17736512,24094633,30237420,24094641,24094637,24181218,24181219,24081858,17724625,16470727,11475959,11475963,13756894,13756893,15107951,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796359,18784815,18864316,25464593,22326937,22326938,268004104,26893012,26893013,34972214,34641799,26650316,22665441,254813024,7632850,7632851,11475818,16469670,16612673,17732388,16469516,11475156,11475159,7632496,7632495,11475172,16469540,18862210,20151843,14456064,14456061,14456358,20152227,20152225,21985205,255195896,14128167,9719756,6394065,4012549,2404731,1391520,791306,448136,448135,791305,1391518,2404721,4012529,6394031,9719689,14128060,19704025,22316475,22316474,24067827,31573485,31655851,31573544,24067911,255587280,19705373,19705372,254504886,17448712,17448711,23778819,21785171,15726654,10890271,10890272,9720075,254842794,5333814,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,8449566,5457777,5457778,8449568,12478888,17462572,17462569,19704462,21785366,21785368,15740274,15740273,255553308,17040755,17040756,16172403,11239737,11239736,254842186,17464756,17041178,11954683,11954684,17040804,11954410,11954411,8315167,5365362,4541723,2730227,2730228,2730234,2730235,4541735,7208136,7208188,7208185,10898670,15736375,21795610,29093466,267843558,19704401,18833902,13418868,13418869,18833904,21797275,29094932,37644333,37646197,29097404,29097405,31280581,31280580,28594886,21362512,15383839,10631218,7017546,4412714,254159340,867429,867434,865814,488521,274665,151954,151951,274650,489015,866882,1528445,2644926,4411062,254943405,6195757,3877815,2322338 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8519979, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8474683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7657697, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14905276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13560011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4018474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4018876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4212351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4212351, s2 = 4473008, int(edited[s2]) = 0 s1 = 4212351, s2 = 4473008, d1 = 72, d2 = 177 Dl.O(d1) = 159691075 Dl.O(d2) = 86150157,100116043,114149611,128038684,141407328,154081753,165851878,176507929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4212351, s2 = 4473008, dlinesl.size( ) = 28 s1 = 8476683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8476683, s2 = 4019426, int(edited[s2]) = 0 s1 = 8476683, s2 = 4019426, d1 = 9, d2 = 0 Dl.O(d1) = 77980138,260295975,134130666,147343160 Dl.O(d2) = 147343156,273082894,261985745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8476683, s2 = 4019426, dlinesl.size( ) = 8 s1 = 9705228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9507805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9507805, s2 = 4736429, int(edited[s2]) = 0 s1 = 9507805, s2 = 4736429, d1 = 176, d2 = 88 Dl.O(d1) = 119736545,105498262,105498263 Dl.O(d2) = 190263003,273091198,184849791,193195653 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4020283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4020283, s2 = 11463857, int(edited[s2]) = 0 s1 = 4020283, s2 = 11463857, d1 = 30, d2 = 46 Dl.O(d1) = 147409245,159754594,171062237 Dl.O(d2) = 265094598,226037269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4020283, s2 = 11463857, dlinesl.size( ) = 30 s1 = 8198078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8198078, s2 = 6964684, int(edited[s2]) = 0 s1 = 8198078, s2 = 6964684, d1 = 12, d2 = 17 Dl.O(d1) = 134202545,147413897 Dl.O(d2) = 260683278,272575313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8198078, s2 = 6964684, dlinesl.size( ) = 12 s1 = 8456722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10226317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10226317, s2 = 9118928, int(edited[s2]) = 0 s1 = 10226317, s2 = 9118928, d1 = 106, d2 = 66 Dl.O(d1) = 197714905,190103304,181287469,171250350,160014134,147750994,134620477,127381166,113511092,99499622,85552729,71965038,59226976,258107597,261151993,153418496,140737096,127381163,113511089,99499620,99499621,113511091,273861198,200790712,273987833,263530593,175927109,175927108,181287473,273795497,264885355,217702995,214056328,265109220,272999823,134620478,134620479,147751001,160014142,171250356,175927118,175927114,165220906,153418502,140737107,127381175,127381176,134620481,147751003,160014145,262952425,263736413,204201363 Dl.O(d2) = 8886470,5796162,5796163,8886445,13045816,18370380,13084744,8916501,8916502,13084748,13045824 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 4021016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4021016, s2 = 13737914, int(edited[s2]) = 0 s1 = 4021016, s2 = 13737914, d1 = 5, d2 = 19 Dl.O(d1) = 147751872 Dl.O(d2) = 224516603,226605033,265870567,231115343,265836691,226176456,224040838,221577487,218706047,215298020,211164268,206109037,199992989,192755339,184340368,184340366,174724848,174724849,174724853,163915196,152052681,152052680,163915195,174724851,163915199,152052682,152052683,163915202,174724864,263478351,263478355,184340390,192755349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4021016, s2 = 13737914, dlinesl.size( ) = 2 s1 = 4021016, s2 = 13737914, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4021016, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 3808933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6980312, s2 = 11425798, int(edited[s2]) = 0 s1 = 6980312, s2 = 11425798, d1 = 9, d2 = 20 Dl.O(d1) = 260901359 Dl.O(d2) = 263284796,181301481,190116313,190116317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6980312, s2 = 11425798, dlinesl.size( ) = 12 s1 = 6980349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6980349, s2 = 8706258, int(edited[s2]) = 0 s1 = 6980349, s2 = 8706258, d1 = 31, d2 = 38 Dl.O(d1) = 260901637,147768353 Dl.O(d2) = 194391202,263191506,261224222,100539695,114569932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6980349, s2 = 8706258, dlinesl.size( ) = 42 s1 = 6474272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7049054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7049054, s2 = 11073060, int(edited[s2]) = 0 s1 = 7049054, s2 = 11073060, d1 = 43, d2 = 0 Dl.O(d1) = 261830045 Dl.O(d2) = 2313561,2415583,2415586,4031000,6425264,9420702,268152977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7049054, s2 = 11073060, dlinesl.size( ) = 48 s1 = 8239719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8239719, s2 = 14688950, int(edited[s2]) = 0 s1 = 8239719, s2 = 14688950, d1 = 10, d2 = 15 Dl.O(d1) = 51362805,41176630,37990040,37990042,47906099,59301061,72037399,85625803,95200215,95200216,99460977,270914592,258283710,77978775,77278292,64129924,257182767,32999535,25274900,18702524,18702523,25274899,32999532,41940753,52280010,64129917,74506726,61725827,50247367,40227521,31541199,24038059,24038060,29200569,255433783,14566818,268178913,27227792,35350764,44775347,47684285,59084172,68082130,55683641,44775453,35350847,27227868,27227869,35350849,44775455,44775470,35350856,35350855,44775468,55683773,68082260,81572242,81572227,68082270,55683782,55683781,68082269,81572256,95606242,109809430,123946795,137626189,134721567,134721566,147847169 Dl.O(d2) = 143605008,156139548,154622065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8239719, s2 = 14688950, dlinesl.size( ) = 14 s1 = 4132071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4022997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4023218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9038867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13663939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4217898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4217898, s2 = 9440475, int(edited[s2]) = 0 s1 = 4217898, s2 = 9440475, d1 = 12, d2 = 26 Dl.O(d1) = 160229760 Dl.O(d2) = 53483312,258459733,65506319,78838636,92945727,107351125,103413302,89320036,75562131,62623179,51000450,40865653,32093989,24519165,24519164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4217898, s2 = 9440475, dlinesl.size( ) = 2 s1 = 4217898, s2 = 9440475, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4217898, Dl.E( ) = 30, 1.12e-05 seconds used appending s1 = 4217906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4217906, s2 = 1341266, int(edited[s2]) = 0 s1 = 4217906, s2 = 1341266, d1 = 18, d2 = 2 Dl.O(d1) = 160229861 Dl.O(d2) = 33708072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4217906, s2 = 1341266, dlinesl.size( ) = 2 s1 = 4217906, s2 = 1341266, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4217906, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 4218192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4218192, s2 = 2503883, int(edited[s2]) = 0 s1 = 4218192, s2 = 2503883, d1 = 20, d2 = 28 Dl.O(d1) = 160250804 Dl.O(d2) = 140052384,126705160,112853437,98865559,84938689,71362056,58625404,47232670,38664034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4218192, s2 = 2503883, dlinesl.size( ) = 2 s1 = 4218192, s2 = 2503883, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4218192, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 8717285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8717285, s2 = 11648414, int(edited[s2]) = 0 s1 = 8717285, s2 = 11648414, d1 = 61, d2 = 53 Dl.O(d1) = 261572098,160261168,148013455,148013454,261916176,273799571,197865937,273461511,261916170 Dl.O(d2) = 148013446,134893773,121092430,106833218,92521899,78482133,78482134,92521903,106833219,259595744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8717285, s2 = 11648414, dlinesl.size( ) = 36 s1 = 9209932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9402387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9402387, s2 = 16214378, int(edited[s2]) = 0 s1 = 9402387, s2 = 16214378, d1 = 1, d2 = 16 Dl.O(d1) = 4827263,4827264 Dl.O(d2) = 263862152,221735965,265147908,225840694,223665407,264143114,263452014,191619437,182997118,173129300,162003511,149750775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9402387, s2 = 16214378, dlinesl.size( ) = 2 s1 = 9402387, s2 = 16214378, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9402387, Dl.E( ) = 28, 7.87e-06 seconds used appending s1 = 9684629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684629, s2 = 4219373, int(edited[s2]) = 0 s1 = 9684629, s2 = 4219373, d1 = 26, d2 = 31 Dl.O(d1) = 254639633,13194310,18567269,25118167,32822252,255644206,31277462,23791641,17459937,12308700,8313712,5364388,5364389,8313713,9946778,9946779,11170542,7410824,5675012,5675017,8718442,9946247,8948968,5841175,3645140,3645141,4682598,4682596,4682609,4682612,7410736,11131403,11131406,13121521,18065194,18168330,12884618,8763136,5705819,5705817,8763130,12883846,12813736,12813737,12884336,12884334,13791244,9456452,9456449,255289085,25954420,33762908,42794454 Dl.O(d2) = 160334953,165920293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9205838, s2 = 4875725, int(edited[s2]) = 0 s1 = 9205838, s2 = 4875725, d1 = 8, d2 = 8 Dl.O(d1) = 12360735,8351746,8351747,11870930,7934836,5045478,5045477,7934832,8156336,8156339,12125117,12146967,12146966,12146940,8176758,8176757,5246422,5246420,8176727,8176725,12146882,15342666,21312916,28414683,31063005,25078551,21453457,15454896,14197151,14197148,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238499,5286425,8216238,12185643,14197566,9759747,9759746,267821908,16565292,16565290,22780741,22882699,26391494,22598612,22598611,21243078,15275928,15275930,21243086,16645124,16645123,16578228,11558785,11558786,16578232,22794900,22874999,16646685,16646684,22874992,19654026,14087604,9689834,9689836,9689848,9689846,14087637,16052072,11837033,7910929,5029156,5029152,6891509,4326201,3161643,3161646,5181863,5181865,8087802,12030413,12030569,16563445,11624892,7743136,4903188,4903187,7743130,11624881,16657318,22886056,17118432,12029728,8087404,5181641,3161512,1850790,1056272,593912,331088,182315,100015,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,11787730,14491259,254243920,10275429,10275430,14940246,11532954,9067371,5928967,5928965,254910049,6748771,6748770,4228825,4228829,6748865,9067277,11512429,7658294,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473541,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514228,14928280,10265338,6745370,6745373,7933712,10046649,6602041,6602042,10046638,14600725,11508667,7655997,7655996,6837659,254325659,2565024,4290243,6837656,10376986,15050727,20960002,28138044,29197426,35412941,35412942,44838130,55745901,68143766,65240879,256703500,33767435,33767436,42799188,53251582,257263422,42799189,53251584,65240880,259076475,92578292,272057210,134973283,148095745,160339519,171542633,181541733,263746647,264081451,209749194,206713120,200714311,200714312,200714313,200803736,193707534,193707535,200803738 Dl.O(d2) = 12360735,8351746,8351747,11870930,7934836,5045478,5045477,7934832,8156336,8156339,12125117,12146967,12146966,12146940,8176758,8176757,5246422,5246420,8176727,8176725,12146882,15342666,21312916,28414683,31063005,25078551,21453457,15454896,14197151,14197148,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238499,5286425,8216238,12185643,14197566,9759747,9759746,267821908,16565292,16565290,22780741,22882699,26391494,22598612,22598611,21243078,15275928,15275930,21243086,16645124,16645123,16578228,11558785,11558786,16578232,22794900,22874999,16646685,16646684,22874992,19654026,14087604,9689834,9689836,9689848,9689846,14087637,16052072,11837033,7910929,5029156,5029152,6891509,4326201,3161643,3161646,5181863,5181865,8087802,12030413,12030569,16563445,11624892,7743136,4903188,4903187,7743130,11624881,16657318,22886056,17118432,12029728,8087404,5181641,3161512,1850790,1056272,593912,331088,182315,100015,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,11787730,14491259,254243920,10275429,10275430,14940246,11532954,9067371,5928967,5928965,254910049,6748771,6748770,4228825,4228829,6748865,9067277,11512429,7658294,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473541,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514228,14928280,10265338,6745370,6745373,7933712,10046649,6602041,6602042,10046638,14600725,11508667,7655997,7655996,6837659,254325659,2565024,4290243,6837656,10376986,15050727,20960002,28138044,29197426,35412941,35412942,44838130,55745901,68143766,65240879,256703500,33767435,33767436,42799188,53251582,257263422,42799189,53251584,65240880,259076475,92578292,272057210,134973283,148095745,160339519,171542633,181541733,263746647,264081451,209749194,206713120,200714311,200714312,200714313,200803736,193707534,193707535,200803738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205838, s2 = 4875725, dlinesl.size( ) = 2 s1 = 9205838, s2 = 4875725, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9205838, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 8321263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8321263, s2 = 10200725, int(edited[s2]) = 0 s1 = 8321263, s2 = 10200725, d1 = 5, d2 = 19 Dl.O(d1) = 107799369,93377440,93377439,107799367,122204478,136167191,127605250,113736272,99721632,85767551,72173286,59434775,48042973,38129968,29564340,29564341,38129969,48042975,59434776,51650771,41409752,255990688,18398376,13068134,268134267,268476061,257156501,63393744 Dl.O(d2) = 134980776,121172521,106906061,106906060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7142285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7689538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7689538, s2 = 14521220, int(edited[s2]) = 0 s1 = 7689538, s2 = 14521220, d1 = 36, d2 = 34 Dl.O(d1) = 261889592,272647534,171550631,160348334 Dl.O(d2) = 255482323,29969435,38535426,48443951,59830253,72565740,86163955,100129779,114163474,272221309,154095170,165864196,176519522,185949337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7689538, s2 = 14521220, dlinesl.size( ) = 18 s1 = 9440232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9252680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10263811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10263811, s2 = 6981844, int(edited[s2]) = 0 s1 = 10263811, s2 = 6981844, d1 = 0, d2 = 0 Dl.O(d1) = 229298733,227605205,225669691,223446525,223446524,220877702,217864063,217864064,214257924,209865899,204508255,198082441,190540828,181804499,171838745,160650515,148387922,260923019,121372248,121372249,260923021,259712151,78673349,65368641,257837065,42898580,33853540,26032258,19354673,254946745,3899105,2335239,1353523,1353525,2335244,3899112,6227839,6307045,6307046,9436264,6184730,3870411,2318046,1344035,1344032,2317983,3532901,2341618,2341616,2340679,2340677,3848393,2991917,2991916,4956027,7812964,9495518,6227831,6227832,9495521,13842774,19354683,26032263,268768801,53364735,65368642,78673350,86868718,73255865,60508959,49104858,40388861,31696152,31696153,40388864,40450429,50486741,60508962,73255866,86868722,99085686,85163071,71597402,58876587,47496432,37592089,29044495,255424651,255024341 Dl.O(d2) = 229298733,227605205,225669691,223446525,223446524,220877702,217864063,217864064,214257924,209865899,204508255,198082441,190540828,181804499,171838745,160650515,148387922,260923019,121372248,121372249,260923021,259712151,78673349,65368641,257837065,42898580,33853540,26032258,19354673,254946745,3899105,2335239,1353523,1353525,2335244,3899112,6227839,6307045,6307046,9436264,6184730,3870411,2318046,1344035,1344032,2317983,3532901,2341618,2341616,2340679,2340677,3848393,2991917,2991916,4956027,7812964,9495518,6227831,6227832,9495521,13842774,19354683,26032263,268768801,53364735,65368642,78673350,86868718,73255865,60508959,49104858,40388861,31696152,31696153,40388864,40450429,50486741,60508962,73255866,86868722,99085686,85163071,71597402,58876587,47496432,37592089,29044495,255424651,255024341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10263811, s2 = 6981844, dlinesl.size( ) = 2 s1 = 10263811, s2 = 6981844, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10263811, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3622889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4222620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9737865, s2 = 12459626, int(edited[s2]) = 0 s1 = 9737865, s2 = 12459626, d1 = 0, d2 = 0 Dl.O(d1) = 16598988,11576595,11576594,9767370,6421858,4028738,2414136,2414137,4028739,6421860,9767374,8948539,5840939,3644997,2178851,1262622,719300,406843,228216,125693,68228,68226,125684,228198,406800,719224,1262448,2178469,3644229,5839375,7085403,4460971,4460970,7085402,8944942,5839005,3644034,2178380,1262408,1262409,2178383,3644041,5839017,8944963,13123894,255608541,16678098,16678096,19160648,13682138,13682139,19160650,15991874,11101568,7362206,7362205,11101566,15991870,22102002,29434484,37997174,29652808,29434509,22102042,22102041,22102071,22102070,22102069,29434539,37997217,47913111,47913109,47913110,59307196,72042546,259362395,99580199,113596050,127471337,140830666,153510565,165305181,175999958,263534777,191087542,182380677,172423292,161214765,148899708 Dl.O(d2) = 16598988,11576595,11576594,9767370,6421858,4028738,2414136,2414137,4028739,6421860,9767374,8948539,5840939,3644997,2178851,1262622,719300,406843,228216,125693,68228,68226,125684,228198,406800,719224,1262448,2178469,3644229,5839375,7085403,4460971,4460970,7085402,8944942,5839005,3644034,2178380,1262408,1262409,2178383,3644041,5839017,8944963,13123894,255608541,16678098,16678096,19160648,13682138,13682139,19160650,15991874,11101568,7362206,7362205,11101566,15991870,22102002,29434484,37997174,29652808,29434509,22102042,22102041,22102071,22102070,22102069,29434539,37997217,47913111,47913109,47913110,59307196,72042546,259362395,99580199,113596050,127471337,140830666,153510565,165305181,175999958,263534777,191087542,182380677,172423292,161214765,148899708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9737865, s2 = 12459626, dlinesl.size( ) = 2 s1 = 9737865, s2 = 12459626, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9737865, Dl.E( ) = 2, 1.22e-05 seconds used appending s1 = 4222824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4222824, s2 = 9471367, int(edited[s2]) = 0 s1 = 4222824, s2 = 9471367, d1 = 13, d2 = 11 Dl.O(d1) = 161229476 Dl.O(d2) = 19420229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4222824, s2 = 9471367, dlinesl.size( ) = 2 s1 = 4222824, s2 = 9471367, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4222824, Dl.E( ) = 18, 2.88e-05 seconds used appending s1 = 10224124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 65132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3329979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4032438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9436465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9156065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9037415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13340527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13340527, s2 = 14109765, int(edited[s2]) = 0 s1 = 13340527, s2 = 14109765, d1 = 0, d2 = 0 Dl.O(d1) = 135897183,135897182,135897176,121975118,121975119,135897178,135897152,121975099,121975100,135897154,135897191,135897190,149117502,270794800,135897184,135897171,121975113,107605269,93204860,79089781,65734209,55740675,44832765,35407349,35407348,38462685,29905420,29905421,38462689,48364301,48364300,59747336,70938508,58221335,48364304,38462691,38462690,257402268,59747338,59747339,72481861,86079331,258505978,127948420,129169604,115238265,101160611 Dl.O(d2) = 135897183,135897182,135897176,121975118,121975119,135897178,135897152,121975099,121975100,135897154,135897191,135897190,149117502,270794800,135897184,135897171,121975113,107605269,93204860,79089781,65734209,55740675,44832765,35407349,35407348,38462685,29905420,29905421,38462689,48364301,48364300,59747336,70938508,58221335,48364304,38462691,38462690,257402268,59747338,59747339,72481861,86079331,258505978,127948420,129169604,115238265,101160611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13340527, s2 = 14109765, dlinesl.size( ) = 2 s1 = 13340527, s2 = 14109765, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13340527, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 4033767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8664408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8664408, s2 = 4400197, int(edited[s2]) = 0 s1 = 8664408, s2 = 4400197, d1 = 146, d2 = 156 Dl.O(d1) = 261510737,262539317,149166428 Dl.O(d2) = 172630560,172630606,161453640,161453641,153246722 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4226227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4226264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4226264, s2 = 50768, int(edited[s2]) = 0 s1 = 4226264, s2 = 50768, d1 = 81, d2 = 41 Dl.O(d1) = 161460446,149173934,135949907,259631776,258377554,65774084,65774083,74969861,74969862,88611860,102618288,116714309,113988565,99965153,99965152,102618288 Dl.O(d2) = 970590,254170297,893636,893638,1571794,2713321,1780553,1015304,572300,320548,177351,177350,320542,572286,325164,324874,324873,580931,1030195,580513,580514,1022615,1792804,3056820,1781641,1028191,1028192,1801431,3085682,3056602,3056601,3083605,3073587,3073588,3092499,1806870,1031981,1031980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4226264, s2 = 50768, dlinesl.size( ) = 2 s1 = 4226264, s2 = 50768, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4226264, Dl.E( ) = 82, 3e-05 seconds used appending s1 = 3823577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7696129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7696129, s2 = 10167942, int(edited[s2]) = 0 s1 = 7696129, s2 = 10167942, d1 = 117, d2 = 125 Dl.O(d1) = 272884688,273034900 Dl.O(d2) = 257416964,257416966,36910810,28413333,21191743,15228677,10504911,10504909,10504971,10504970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7696129, s2 = 10167942, dlinesl.size( ) = 26 s1 = 4035123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4227697, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4036499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4036784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8291541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4228844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13444465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3874058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7063206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7063206, s2 = 14218728, int(edited[s2]) = 0 s1 = 7063206, s2 = 14218728, d1 = 62, d2 = 87 Dl.O(d1) = 262063039 Dl.O(d2) = 54068281,43495988,34362732,26466840,26466841,34362735,257273949,60880365,65982036,65982033,79347242,73919254,61146126,61146127,66136686,66136688,66101990,54006253,54006254,257262908,79471790,66671332,54446438,43745580,34508991,34508994,43745589,54446450,63433845,51685943,41438527,32574102,24918712,24918711,30937403,30937402,30989754,30991554,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047757,2423316,2423313,4045348,2422588,2422582,4045354,6453079,9816601,14288233,256208871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7063206, s2 = 14218728, dlinesl.size( ) = 2 s1 = 7063206, s2 = 14218728, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7063206, Dl.E( ) = 88, 2.5e-05 seconds used appending s1 = 10174246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9543844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9505704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8466122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8633750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8633750, s2 = 11654548, int(edited[s2]) = 0 s1 = 8633750, s2 = 11654548, d1 = 36, d2 = 39 Dl.O(d1) = 263715933,191687765,183078871,173228312,173228310,183078869,273824995,173228313,263000080 Dl.O(d2) = 79235048,257289104,43278403,255729518,14031594,9646741,6342694,6092148,6092147,9274811,9274809,9311648,13581500,255316052,14228671,14228670,19860086,19855355,14224929,9779035,9779034,9782893,9779406,6429846,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,9791059,14242940,19878752,26699460,24547348,18112060,12843066,9792164,6437464,254967291,8470744,5475477,3882268,3882265,6202565,9459819,13795443,17408381,17408383,22639763,17077564,16732125,11689538,11689536,16732114,19294860,13795177,13795178,19294844,16461290,16461286,18909008,13477346,13477344,13477315,10970752,10970751,13795221,13795222,19294938,16598613,11576365,11576364,16451089,11462183,7624030,7624031,11462188,16451105,16451064,16451066,22640356,30011842,37898937,37898938,39798233,39420399,30815212,30010319,30010320,30011846,28849146,21577442,15554263,10758238,10758237,15554259,19295329,19295328,25622936,25622937,33388590,38599566,30026704,22653413,16461316,11469636,7629180,4826892,2908793,2908794,4826897,7629193,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542359,28008638,22638485,16449783,11461436,11461439,16449793,17132219,22639938,16450849,11462043,7623950,7623946,11462029,16450826,11462264,7624070,4823641,4823643,7624077,7623910,7623911,7624103,7624101,11447433,7613171,4816669,4816666,7613160,11447415,16432358,22617044,20868204,20868203,14966070,14966072,17545819,12547826,12547827,17734647,24092409,30461557,27181767,20259209,14535574,10001077,10001078,14535579,12824471,12824470,10346135,10346138,15018271,20926159,22638649,30009636,31765177,29912645,29912642,32095932,29824274,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925873,13347997,9120846,9120847,10696665,15469623,21472194,256329723,38366313,38366314,48277929,48872542,60265156,48872544,48277966,38366345,38366346,48277967,59665772,48872284,48277910,38366290,29793462,22427461,16260673,16260672,22427459,29793459,38366284,48277904,48277804,48277803,38952623,38952622,48872281,60264855,58275454,46910480,46910481,58275456,59946880,59665764,59665766,59946852,72401326,72401325,59946849,48554731,256886696,22687116,22687117,30065333,256971601,59946855,61355408,49873990,49873989,59665768,257235086,60265147,55305138,55305137,67643996,67644020,60264892,60264893,73000203,72685581,59946860,59946861,48872319,48872320,59946879,48554755,38639937,38639936,48554753,59946876,67644001,67644003,81110256,74061437,74061438,87665341,81110265,81110266,258224326,87665335,74061432,61281982,49803724,39784446,39784447,49803726,61281984,74061436,81110243,81110241,67644008,55305150,44460243,35085029,35085028,44460240,55305147,65148138,67644012,55305153,55305154,59946870,256971603,38639929,48554743,59946864,72685585,86284205,87665333,74061429,74061430,81110269,81110270,87665337,74061433,74061434,78430208,65148139,53163664,42713910,35085020,35085018,38952841,38944126,30357945,30357944,29793515,22427500,16260700,11305369,7505822,4744505,2859334,2859331,4744499,7505815,11305353,16260657,22427442,29793432,27005877,27005878,28214669,21020655,16260660,16260661,16728305,11685607,7792540,4940851,4940852,7792542,11685611,16728308,22964649,30366442,38952814,48872549,48277984,38366365,29793528,22427525,22427527,27005905,30366423,30366422,35091894,38366349,38366350,269001848,30366322,30366323,38952641,48872300,60264873,72674812,59935332,48542741,38627929,255192876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8633750, s2 = 11654548, dlinesl.size( ) = 40 s1 = 9488200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9488200, s2 = 9712216, int(edited[s2]) = 0 s1 = 9488200, s2 = 9712216, d1 = 1, d2 = 1 Dl.O(d1) = 263506970,261668128,273104666,169262742,157833238,145431363,145431362,157833235,145431365,145431364,132200303,118382343,104221918,104221915,104221911,104221912,118382339,261927485,169262736,179514055,188530739,264026883,199108472,191707473,262765618,162150255,149938599,149938598,261668130,153319450,140640793,127295083,127295082,140640792,153319449,261668128,179514059,169262740,157833237,145431363,132200299,132200300,118382343,104221918,90089003,76276410,258981109,104221911,90088998,90088999,104221913,108705904,258816324,66939715,270634837,108705902,122971546,261539175,261235860,128096193,141461603,154131145,165895330,166035066,154282614,141627141,128277155,114401469,100378622,86423058,72828103,60090740,60090741,72828105,86423061,99524581,99524582,113535594,127405479,114953414,101775194,87802836,87802835,101775193,115821257,269871658,91692863,77765084,77765085,91692866,258255536,51051062,40909406,32131736,32131737,40909408,51051061,51051060,62681564,75626222,89387290,103480985,117610604,131410218,137649386 Dl.O(d2) = 263506970,261668128,273104666,169262742,157833238,145431363,145431362,157833235,145431365,145431364,132200303,118382343,104221918,104221915,104221911,104221912,118382339,261927485,169262736,179514055,188530739,264026883,199108472,191707473,262765618,162150255,149938599,149938598,261668130,153319450,140640793,127295083,127295082,140640792,153319449,261668128,179514059,169262740,157833237,145431363,132200299,132200300,118382343,104221918,90089003,76276410,258981109,104221911,90088998,90088999,104221913,108705904,258816324,66939715,270634837,108705902,122971546,261539175,261235860,128096193,141461603,154131145,165895330,166035066,154282614,141627141,128277155,114401469,100378622,86423058,72828103,60090740,60090741,72828105,86423061,99524581,99524582,113535594,127405479,114953414,101775194,87802836,87802835,101775193,115821257,269871658,91692863,77765084,77765085,91692866,258255536,51051062,40909406,32131736,32131737,40909408,51051061,51051060,62681564,75626222,89387290,103480985,117610604,131410218,137649386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9488200, s2 = 9712216, dlinesl.size( ) = 2 s1 = 9488200, s2 = 9712216, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9488200, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13711887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8634897, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4043968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9461883, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8278806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8278806, s2 = 1008080, int(edited[s2]) = 0 s1 = 8278806, s2 = 1008080, d1 = 8, d2 = 3 Dl.O(d1) = 270633292,74490815,88103042,95075566,109330016,123521272,137251514,123521282,123521281,261547413,262570117,150291826,150291825,272588268,123521286,260984167 Dl.O(d2) = 257583124,52557760,42198528,33237967,25488662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8278806, s2 = 1008080, dlinesl.size( ) = 2 s1 = 8278806, s2 = 1008080, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8278806, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 8204223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9475040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9475040, s2 = 11101358, int(edited[s2]) = 0 s1 = 9475040, s2 = 11101358, d1 = 10, d2 = 13 Dl.O(d1) = 18914665,24731227,32346732,41161293,51346199,63026706,258968893,89786892,103888361,118030963,131856623,145114862,157548485,162430763,150295211 Dl.O(d2) = 260980140,137255150,150295205,262074794,145114858,131856620,131856621,261916233,262504788,145114861,157548485,150295209,137255155,271656201,270649214,123524820,137255157,150295207,137255152,123524819,109333296,109333295,123524817,137255150,150093188,272084186,137255151,272777255,183280251,262074796,150295212,150295207,150295206,150295210,137255155,137255154,273054927,183280250,183280251,262567500,137255153,123524819,109333296,258516204,256731962,26898306,26898305,34977677,34977620,26898253,20016311,14335663,9848112,9848111,14335661,20016301,20016302,26898234,34977598,26898248,26898247,34977616,36494375,36494376,46352259,50521846,44355385,34977676,26898308,20016354,14335693,14335692,14030269,9645654,6341840,6341839,9308289,254670844,1325591,756540,756544,1325606,2285264,3804871,2279194,2279192,2284406,1329241,758913,431507,431509,758923,755674,429391,242369,134018,72881,72878,134002,242340,134126,72937,72938,73375,39718,39722,73395,134971,244270,427856,431692,431693,759206,1321377,2278465,254302947,6100997,255274721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9475040, s2 = 11101358, dlinesl.size( ) = 2 s1 = 9475040, s2 = 11101358, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9475040, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 7664538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7664538, s2 = 7100895, int(edited[s2]) = 0 s1 = 7664538, s2 = 7100895, d1 = 9, d2 = 6 Dl.O(d1) = 271656263 Dl.O(d2) = 262587164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7664538, s2 = 7100895, dlinesl.size( ) = 2 s1 = 7664538, s2 = 7100895, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7664538, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10214785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10214785, s2 = 11143678, int(edited[s2]) = 0 s1 = 10214785, s2 = 11143678, d1 = 31, d2 = 15 Dl.O(d1) = 257902655,259152335,260393021,137265242,137265229,123534119,109342348,95088113,95088114,260393019,137265234,150306141,150306148,150306149,162442014,173484257,183289930,263429409,173484244,262253358,137265227,261547933 Dl.O(d2) = 258038702,258038700,256877558,29773795,256407581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10214785, s2 = 11143678, dlinesl.size( ) = 2 s1 = 10214785, s2 = 11143678, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10214785, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 14165582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165582, s2 = 13336092, int(edited[s2]) = 0 s1 = 14165582, s2 = 13336092, d1 = 0, d2 = 0 Dl.O(d1) = 10987694,10987695,15853458,21941912,29263527,37829188,47751521,47751519,47751518,59150093,59150092,258725039,99413059,113414357,261145685,133778622,260029742,91451546,258164288,52486504,46751524,46751523,58120055,63918679,260847381,133113451,263704525,203549950,263997716,217353670,264831774,210638185,205477079,199238467,191865459,263429770,162446566,150310678,137269688,123538512,109346820,95092683,81034675,67565789,55222405,55222404,67565788,81034673,87751748,260570150,99431715,268935798,30681824,23265132,17001428,17001427,23265130,30681820,39278715,49205207,48738817,48738818,49205204,41404366,32546477,24897426,24897427,28891875,37433395,41910721,32971283,25249022,25249024,32971287,41910726,40856772,40856773,41910714,49321129,39393041,30790417,30790416,32184753,32085353,24511457,24511456,32085351,40856806,47405228,47404915,37497441,28954840,28954841,28955390,21742610,15691941,15691939,21674301,15636384,15636383,21674298,21674378,21674377,28955133,37497744,28955397,21674614,21674603,15636617,15636616,15636228,15636229,15636233,21674120,28954842,37497449,47404920,37497882,37497883,37497642,37497641,40503511,40503510,47405446,37497974,28955378,255852562,47405447,58792776,64387701,52514036,52514035,50529139,50529140,268537548,48102365,48868749,38949063,38949064,47657454,43863299,36796396,36796397,46682392,37735662,29174974,21864731,15791539,15791538,21864728,29174970,25450483,18852442,18852441,25450477,33196613,42156053,47657359,47657358,44591343,44591342,55441204,46939615,46939616,50491219,61983140,72997178,72997177,81253658,88410699,88410698,81555499,68065556,55666264,44755984,44755985,55666267,68065560,58075460,46703421,46703422,40455276,40455277,50491070,50491066,50491065,61983022,70792713,58075435,46703390,46703389,58075433,58305794,58075415,46703367,46703368,46703382,36820861,28325674,28325675,36820863,39535319,30924198,24249273,17872155,17872156,24249277,31761000,31761001,40455256,39270873,39270874,49197019,55666269,44755987,35328193,35328194,44755992,36820895,28325699,28325700,36820899,31761014,24249279,17872157,17872158,24249283,31761022,40455287,257683745,68065562,68065561,59372857,59372859,70888996,61983126,50491194,50491147,44778974,44778973,40455316,40455315,44564820,35186507,27097680,20198190,14492673,14492672,17872173,24249315,31761081,40455364,50491137,46703372,40466079,40466080,47982807,47982808,59372794,65130132,78411740,71021047,58305798,46939602,37060882,28559854,21333691,17202548,17202549,23486401,29507108,29507121,29507120,38070733,38070708,29507105,29507106,30924204,23486397,23486399,30924209,39535340,49469536,54596914,43852520,39535299,39535300,46939621,46939622,55412455,44564816,35186498,35186497,31761075,31761074,40455352,49469491,39535307,39535308,42156232,42156231,52514269,269172648,57613837,46269265,39535294,30924184,23486384,17202541,12097174,12097175,11140220,11140219,16044066,22166848,28559849,37060876,44778978,39535296,39535295,44588744,44588745,49469533,39535336,38070699,38070698,47982811,43852526,34580908,26593666,26593667,34580912,43852534,54596929,49469521,39535328,39535329,47868299,50491150,60873157,49469505,39535314,30924197,23486392,23486391,30924193,39535309,49469493,60873139,73623775,258658636,87245422,73623779,60873146,57995516,46619353,36731313,36731317,38922048,30335786,30335785,28236823,21038755,15111593,10423376,10423377,15111597,21038765,28236844,36731372,46619435,47447483,47447482,46619368,36731330,36731329,40143668,47447503,47447504,44588800,35208810,35208809,44588794,36731343,28236829,28236830,36731344,38364074,48275479,39884268,31204797,23717744,17394080,12257825,8278426,8278427,12257828,17394089,23717760,31204819,24619256,24619257,32210684,40994545,51141481,50168560,50168561,46212455,46212456,46212449,46212451,48132160,48132161,47843502,47843503,59240350,50263388,40243915,38222077,29656156,22304459,22304458,29656153,38222075,48132166,59519450,256474210,49905122,49905123,61385593,61385573,49905065,49905064,49905071,39884251,39884250,35233675,27138643,20231476,20231475,27138641,35233670,44615279,44588868,257285893,43873863,54616134,59698520,59698521,54654858,43912178,256306680,268370590,19833723,19833725,26647256,34638790,43912203,54654905,48053669,257385198,43912237,34638816,34638817,43912240,36340929,36340930,46157265,52805267,54654937,66911761,66911694,54654836,43912163,34638770,34638771,268906897,28167387,28167386,36642404,34638819,34638818,43912243,54654829,66911684,78056085,64859066,64859067,66911752,54654916,43912212,34638804,26647266,19833731,19833733,26647270,255582860,54654901,256034858,43912181,43912180,34638796,256724699,36340959,27909116,20765064,14883820,14883819,255767402,36340953,36642399,28167384,28167385,36642401,46509715,57460372,46157218,46157219,40278448,34804073,26817876,19954217,14288871,14288868,9830775,6457977,4047985 Dl.O(d2) = 10987694,10987695,15853458,21941912,29263527,37829188,47751521,47751519,47751518,59150093,59150092,258725039,99413059,113414357,261145685,133778622,260029742,91451546,258164288,52486504,46751524,46751523,58120055,63918679,260847381,133113451,263704525,203549950,263997716,217353670,264831774,210638185,205477079,199238467,191865459,263429770,162446566,150310678,137269688,123538512,109346820,95092683,81034675,67565789,55222405,55222404,67565788,81034673,87751748,260570150,99431715,268935798,30681824,23265132,17001428,17001427,23265130,30681820,39278715,49205207,48738817,48738818,49205204,41404366,32546477,24897426,24897427,28891875,37433395,41910721,32971283,25249022,25249024,32971287,41910726,40856772,40856773,41910714,49321129,39393041,30790417,30790416,32184753,32085353,24511457,24511456,32085351,40856806,47405228,47404915,37497441,28954840,28954841,28955390,21742610,15691941,15691939,21674301,15636384,15636383,21674298,21674378,21674377,28955133,37497744,28955397,21674614,21674603,15636617,15636616,15636228,15636229,15636233,21674120,28954842,37497449,47404920,37497882,37497883,37497642,37497641,40503511,40503510,47405446,37497974,28955378,255852562,47405447,58792776,64387701,52514036,52514035,50529139,50529140,268537548,48102365,48868749,38949063,38949064,47657454,43863299,36796396,36796397,46682392,37735662,29174974,21864731,15791539,15791538,21864728,29174970,25450483,18852442,18852441,25450477,33196613,42156053,47657359,47657358,44591343,44591342,55441204,46939615,46939616,50491219,61983140,72997178,72997177,81253658,88410699,88410698,81555499,68065556,55666264,44755984,44755985,55666267,68065560,58075460,46703421,46703422,40455276,40455277,50491070,50491066,50491065,61983022,70792713,58075435,46703390,46703389,58075433,58305794,58075415,46703367,46703368,46703382,36820861,28325674,28325675,36820863,39535319,30924198,24249273,17872155,17872156,24249277,31761000,31761001,40455256,39270873,39270874,49197019,55666269,44755987,35328193,35328194,44755992,36820895,28325699,28325700,36820899,31761014,24249279,17872157,17872158,24249283,31761022,40455287,257683745,68065562,68065561,59372857,59372859,70888996,61983126,50491194,50491147,44778974,44778973,40455316,40455315,44564820,35186507,27097680,20198190,14492673,14492672,17872173,24249315,31761081,40455364,50491137,46703372,40466079,40466080,47982807,47982808,59372794,65130132,78411740,71021047,58305798,46939602,37060882,28559854,21333691,17202548,17202549,23486401,29507108,29507121,29507120,38070733,38070708,29507105,29507106,30924204,23486397,23486399,30924209,39535340,49469536,54596914,43852520,39535299,39535300,46939621,46939622,55412455,44564816,35186498,35186497,31761075,31761074,40455352,49469491,39535307,39535308,42156232,42156231,52514269,269172648,57613837,46269265,39535294,30924184,23486384,17202541,12097174,12097175,11140220,11140219,16044066,22166848,28559849,37060876,44778978,39535296,39535295,44588744,44588745,49469533,39535336,38070699,38070698,47982811,43852526,34580908,26593666,26593667,34580912,43852534,54596929,49469521,39535328,39535329,47868299,50491150,60873157,49469505,39535314,30924197,23486392,23486391,30924193,39535309,49469493,60873139,73623775,258658636,87245422,73623779,60873146,57995516,46619353,36731313,36731317,38922048,30335786,30335785,28236823,21038755,15111593,10423376,10423377,15111597,21038765,28236844,36731372,46619435,47447483,47447482,46619368,36731330,36731329,40143668,47447503,47447504,44588800,35208810,35208809,44588794,36731343,28236829,28236830,36731344,38364074,48275479,39884268,31204797,23717744,17394080,12257825,8278426,8278427,12257828,17394089,23717760,31204819,24619256,24619257,32210684,40994545,51141481,50168560,50168561,46212455,46212456,46212449,46212451,48132160,48132161,47843502,47843503,59240350,50263388,40243915,38222077,29656156,22304459,22304458,29656153,38222075,48132166,59519450,256474210,49905122,49905123,61385593,61385573,49905065,49905064,49905071,39884251,39884250,35233675,27138643,20231476,20231475,27138641,35233670,44615279,44588868,257285893,43873863,54616134,59698520,59698521,54654858,43912178,256306680,268370590,19833723,19833725,26647256,34638790,43912203,54654905,48053669,257385198,43912237,34638816,34638817,43912240,36340929,36340930,46157265,52805267,54654937,66911761,66911694,54654836,43912163,34638770,34638771,268906897,28167387,28167386,36642404,34638819,34638818,43912243,54654829,66911684,78056085,64859066,64859067,66911752,54654916,43912212,34638804,26647266,19833731,19833733,26647270,255582860,54654901,256034858,43912181,43912180,34638796,256724699,36340959,27909116,20765064,14883820,14883819,255767402,36340953,36642399,28167384,28167385,36642401,46509715,57460372,46157218,46157219,40278448,34804073,26817876,19954217,14288871,14288868,9830775,6457977,4047985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165582, s2 = 13336092, dlinesl.size( ) = 2 s1 = 14165582, s2 = 13336092, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165582, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 4046144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4046144, s2 = 5656889, int(edited[s2]) = 0 s1 = 4046144, s2 = 5656889, d1 = 0, d2 = 26 Dl.O(d1) = 150320579 Dl.O(d2) = 230927091,229454162,229454163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4046144, s2 = 5656889, dlinesl.size( ) = 30 s1 = 4142434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4046817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4046817, s2 = 14164855, int(edited[s2]) = 0 s1 = 4046817, s2 = 14164855, d1 = 7, d2 = 34 Dl.O(d1) = 150335048 Dl.O(d2) = 260871818,98646198,84715715,71145687,58423990,47049192,37158625,28642833,21401789,268387488,27127165,35220805,44601806,55450808,67792986,256492340,255541164,31779133,24266610,254830840,255277857,15590328,10785058,10785057,15590324,15593714,11513920,11513918,16521143,15594645,15594646,21625395,16448368,16297788,11339571,7535543,4766773,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021899,29593691,22244978,22244977,20259796,14535991,10001338,6572604,6572605,10001341,14535995,254706722,23650809,22719844,16514844,16514845,17000137,11913792,7969450,5070819,5070818,7969415,5070803,5070795,3074293,3074294,5070797,7969402,11913706,16999801,23263270,27282068,28037634,21164951,15208294,10490703,10490704,254912160,15593486,10787275,10787272,11338937,11338940,14189585,14189588,19809683,19809676,19809675,15048932,15048930,14924503,10262710,10262707,14924500,20822442,22755860,16544555,11531009,10423387,6872155,6872158,7125346,4486115,4486112,4225910,2526836,2526838,4225916,6744087,7125307,10375926,6837023,4289896,4289898,6837039,10375963,10520400,6938004,4359842,4359841,6938000,10520389,15249787,16211605,14944323,14944324,17888628,24267441,31273772,255360644,61443478,74223168,87828139,101802102,258623068,129747406,143077088,261048936,261118928,175404551,164643261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4046817, s2 = 14164855, dlinesl.size( ) = 2 s1 = 4046817, s2 = 14164855, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4046817, Dl.E( ) = 62, 2e-05 seconds used appending s1 = 4046910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4237838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4047488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658374, s2 = 9707318, int(edited[s2]) = 0 s1 = 11658374, s2 = 9707318, d1 = 89, d2 = 42 Dl.O(d1) = 180212472,189150692,196891417,203516050,205549114,264617325,203516044,196891408,196891409,203516045,209063810,213617166,217345771,220450878,223088119,225363858,265783993,229070596,230596248,231953991,231982420,230629965,229112095,227393716,225428907,223168849,220553857,217479087,213792650,209300054,203823348,203823344,197263200,189573008,180673674,170540446,159200110,146825640,260856625,91233789,77314570,269495223,41974373,33031134,25304626,18729253,13333084,13333085,18729254,18730600,25306141,33032692,34683273,34683272,28715642,256869973,42145916,43941737,34667578,33030431,26980012,26980011,268037876,26675871,19858616,14227563,14227560,10831354,7160196,4509654,4509653,7160189,10831528,7160040,7160044,7160161,7904845,7904844,5961213,5961214,9110711,13334186,13334072,9110641,9110640,13334069,18730601,256116261,31975903,31975904,24422294,18010315,12763892,8674719,5643899,5643900,8674721,12763895,255603797,31975907,40722947,257700667,71495611,58765771,58765769,58765770,258699841,85068103,98994097,112984085,126838244,129150772,270880206,111605770,111605769,111605772,97687497,83829914,70304885,57614310,46269763,36417155,36417154,32093627,254953054,25512471,254673732,24741321,18268231 Dl.O(d2) = 55669710,68069156,60065437,269827411,62114116,50614648,42192438,256130641,255666449,33232369,42192439,52551064,64424985,270518891,91524538,105748129,119982815,133849161,142261766,261074026,115007718,100953548,100953549,115007719,125992450,139343790,152049635,141827237,128474230,114588401,100556319,255806558,60261133,48868127,38948380,30362338,254490750,48868123,48868117,38948372,38453206,29895965,29895964,38453204,48355153,269312205,37133290,37133261,37133260,47020764,58391969,58391968,59061629,47661437,37739605,29178727,29178726,37739555,29178684,21867955,15793974,10942565,10942564,15793973,21867952,29178681,37739554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658374, s2 = 9707318, dlinesl.size( ) = 40 s1 = 7027025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3840663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3840663, s2 = 5254008, int(edited[s2]) = 0 s1 = 3840663, s2 = 5254008, d1 = 6, d2 = 5 Dl.O(d1) = 137382116,150421914 Dl.O(d2) = 218367705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3840663, s2 = 5254008, dlinesl.size( ) = 2 s1 = 3840663, s2 = 5254008, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3840663, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 7924237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8497070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4240706, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8526587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8526587, s2 = 16381356, int(edited[s2]) = 0 s1 = 8526587, s2 = 16381356, d1 = 73, d2 = 70 Dl.O(d1) = 137403126,150442532,162570808,262580863 Dl.O(d2) = 155096107,155096110,142451160,129075457,129075456,260677509,115146216,129075458,142451163,261799256,115146213,260078753,101070258,115146211,101070259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8526587, s2 = 16381356, dlinesl.size( ) = 2 s1 = 8526587, s2 = 16381356, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8526587, Dl.E( ) = 74, 1.88e-05 seconds used appending s1 = 4241210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13594305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6986492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7726366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4052302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4052302, s2 = 7731533, int(edited[s2]) = 0 s1 = 4052302, s2 = 7731533, d1 = 4, d2 = 20 Dl.O(d1) = 150488045 Dl.O(d2) = 273961555,235542922,266645199,238678739,267075761,242511730,274941591,244206842,267380145,244898629,267330068,267199338,267133562,235080284,234046347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4052302, s2 = 7731533, dlinesl.size( ) = 8 s1 = 4052561, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4052722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164386, s2 = 14110392, int(edited[s2]) = 0 s1 = 14164386, s2 = 14110392, d1 = 23, d2 = 52 Dl.O(d1) = 260699021 Dl.O(d2) = 22250825,22250524,255082395,4692598,2827494,1640531,932865,525797,525799,932871,1640541,2827517,4692626,7425994,11191926,16112193,11191741,7425889,7425888,11191738,16112183,11191855,11191854,16112391,22250507,29600207,38166164,42322605,43933972,34660337,34660338,33369699,25605013,18992552,18992553,25605015,29599654,29599653,38166505,48079435,59470328,63860819,72208375,64113396,52264562,41926089,41926088,255787792,77260099,91178517,105400372,119636350,270790040,159137187,170479320,180616988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164386, s2 = 14110392, dlinesl.size( ) = 2 s1 = 14164386, s2 = 14110392, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14164386, Dl.E( ) = 58, 2.5e-05 seconds used appending s1 = 10206944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10187761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351888, s2 = 7038562, int(edited[s2]) = 0 s1 = 10351888, s2 = 7038562, d1 = 83, d2 = 98 Dl.O(d1) = 183452120,183452121,185390071,175899468,262192168,153387385,273336130,263036388,272782646,261001592,262093869,273297799,199367081,273297808,261001594 Dl.O(d2) = 259359454,137492885,150523616,261704124,271662407,162643567,264428325,214951531,274328988,274451023,221320064,274393529,274074518,210744430,205593806,199367090,199367089,205593804,263036382 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165326, s2 = 4674712, int(edited[s2]) = 0 s1 = 14165326, s2 = 4674712, d1 = 61, d2 = 52 Dl.O(d1) = 183457764,262369332,162650730,150531590,137501437,123777328,109587199,95332124,81273119,67805653,55464057,55464056,67805652,81273118,95332122,109587197,123777326,137501435,150531588,162650729,173671989,183457762,192012281,199371427,205597758,210747945,214954808 Dl.O(d2) = 158441583,262904533,188952620,179991218,263321297,196716739,264339295,265019988,196716734,264339293,264612495,203362005,264339299,208931399,264612493,264857501,208931409,264036123,188952626,263696691,263696687,169808491,158441576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165326, s2 = 4674712, dlinesl.size( ) = 8 s1 = 4243679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4243768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7807941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4053848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7714631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6987049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6987049, s2 = 8473539, int(edited[s2]) = 0 s1 = 6987049, s2 = 8473539, d1 = 120, d2 = 55 Dl.O(d1) = 261003283,150541956,261679938,152961238,152961237 Dl.O(d2) = 159199943,159199944,146825484,133567273,258895692,257664190 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7100896, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10242527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4244467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4244507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4417926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4245992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4221711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13159313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3848219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3848219, s2 = 8060711, int(edited[s2]) = 0 s1 = 3848219, s2 = 8060711, d1 = 4, d2 = 29 Dl.O(d1) = 137657906,137657907,150655944 Dl.O(d2) = 183524378,263285112,272940288,186432077,177077118,166495825,154789164,142154828,128799935,269920804,100852090,100852089,114902737,128799937,142154830,260190156,166495827,272319428,194585471,201568576,207445830,263665046,211945880,207038433,201090442,194032516,185796322,176353400,262398648,176353402,165686724,153910976,141239231,127879885,127879886,127879888,114001669,99977837,86018057,72421390,59686311,54614354,44561377,35183000,35183001,36025573,27693815,20622093,14789354,14789355,20622077,27403198,20432684,20432682,27403073,27402777,27402775,35578149,27797154,20690770,20690767,20604114,20604111,27646838,27646841,27377574,20416532,14652431,14652429,10157269,10078553,6650971,6650967,6611621,6611619,4182511,2500987,1443010,1443004,2476471,1442901,1442899,1432476,814663,814658,1432499,2478994,4146011,6621510,10081832,14657882,20425326,27392148,35562345,45048543,56026324,256772304,269667232,56029170,45050564,35563620,35563619,27468894,27468896,27377522,20416519,14652428,14652429,10157269,10078553,6650971,6650967,6611621,6611619,4182511,2500987,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501006,1443115,1443118,2501357,254478359,10162521,14776434,255765463,14650391,10077453,6619082,4144625,2478200,1432050,1432053,1432700,2479367,2478965,1432494,1432499,2478990,4145994,6621459,10081725,14657694,20425026,27391716,27616621,35904891,27693943,20622144,20622146,27693905,27403200,20432684,20432682,27403073,27402777,27402775,35578149,27797154,20690770,20690767,20604114,20604111,27646838,27646841,27377574,20416532,14652431,14652429,10157269,10078553,6650971,6650967,6611621,6611619,4182511,2500987,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443010,1443004,2476471,1442901,1442899,1432476,814663,814658,1432499,2478990,4145994,6621459,10081725,14657694,20425026,27391716,27616621,35904891,36025756,35708541,27491081,20491456,14702163,14702164,20491462,27491092,35708556,35840318,35840316,45454962,51134217,42632541,35299503,35299499,44713302,257927459,45263186,45263184,56303460,56021198,45044542,35559497,27666202,20603781,14777108,14645538,10097460,10097461,14681329,20459730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3848219, s2 = 8060711, dlinesl.size( ) = 2 s1 = 3848219, s2 = 8060711, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3848219, Dl.E( ) = 30, 3.1e-05 seconds used appending s1 = 4246496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4246496, s2 = 9663923, int(edited[s2]) = 0 s1 = 4246496, s2 = 9663923, d1 = 27, d2 = 7 Dl.O(d1) = 162753543,150657355,137659613,123977549,109837737,95633947,81600898,68112093,68112094,259182771,109837739,109837741,95633950,259661036,258406954,44809400 Dl.O(d2) = 261410844,148972268,135733349,121793846,107411219,93003112,78893255,78893254,78893256,78893257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4246496, s2 = 9663923, dlinesl.size( ) = 8 s1 = 8629292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14310723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14310723, s2 = 9019944, int(edited[s2]) = 0 s1 = 14310723, s2 = 9019944, d1 = 12, d2 = 4 Dl.O(d1) = 55801357,55801356,68228765,74867507,62069162,50576863,50576864,52701961,53105595,42654255,33625628,33625627,42654253,48233260,38323390,29753954,22393407,22393408,29753955,31218411,23734340,17409650,17409649,255956817,39040425,33016789,25291176,25291177,25290798,18717497,18717496,25290796,268419843,16797275,11744706,11744705,16797274,23042444,30450139,39039148,39038820,30449870,30449869,257001255,30449567,23042039,23042038,30449563,39038450,42209741,33248021,25497388,18892199,18892200,23043407,23043408,23042056,16797027,16797028,11744634,11744635,16797125,11744895,11744894,16797644,16797474,11744803,7841361,7841362,11744796,11744813,11744814,16797492,11744841,7841381,7841380,11729417,11729416,11744923,11744924,16797698,23043192,17501299,17501297,23841893,31333794,268995705,48701782,48701783,60097555,58691740,47301311,47301312,58691743,71424501,60096409,48700391,38778050,30193905,22803481,22803482,256438537,256438531,22803480,22803478,30193893,38778028,31488382,31488383,40173423,50196982,58249613,61408613,61408612,74188100,87792084,101764848,115810897,259814072,109413568,95158115,95158116,109413569,120374599,106172535,91974873,91974874,106172525,115810891,115810890,129709548,143040323,271679886,155431847,260425074,147419178,147419177,260425072,150382452,162514127,167661621,167222070,159764242,147419191,134207481,120374593,106172532,106172533,120374595,134207485,143519451,143519452,143519464,156055889,156055862,156055861,156055891,156055890,156055869,156055868,156425607,156425606,167989388,178161670,178121041,167661609,167661610,167661605,261014736,143519442,130189760,130189762,272108900,130189753,116351042,102256485,88258228,88258229,102256488,259814060,109798878,95596859,81563436,81563435,95596858,109798877,123934756,259187144,88258223,74627902,61835647,61835648,61835673,74627911,77875238,86836094,83877394,70352523,70352522,81563384,68073602,55674683,55674684,68073604,58634923,57662789,57662788,68073585,68073586,71076998,71077000,77979529,68073521,64685690,52812389,42411072,33420121,25651695,25651696,33420123,42411074,52812392,52771387,52771386,46990202,37105438,37105437,46990199,46990204,46990205,58360351,71076996,77917809,77875232,64685681,64685682,61835650,50351447,40324584,40324583,50351445,52274125,52274126,255763894,68073535,58360358,58360357,58360338,46990193,37105434,28597406,28597405,37105432,46990190,50351467,40324599,31635334,31635335,40324601,50351471,256768724,81563442,74627915,61835663,50351459,40324594,31635331,31635329,40324590,46990195,37105446,28597410,28597409,37105443,46990208,48816131,42462638,33469340,33469341,42462640,255345284,25696405,33469366,42462680,52866468,64785486,77979514,64785468,64785466,52866454,52866452,42462673,42462674,42372402,254988316,42372418,33383416,33383417,42372422,33469357,33469356,35430367,35430366,30309084,30309083,38894863,33469334,25696382,19071012,13614989,13614990,19071015,25696389,33469346,42462651,44485106,39715720,39715719,33383426,33383425,42372437,52771415,42462699,33469390,25696419,25696418,255763900,42462657,39715747,31038295,31038296,25696412,19071029,19071028,25696409,33469371,42462690,52274133,41935227,32994418,32994416,39715728,49734399,52771400,48816136,38894874,30309092,22909583,22909582,23556268,17247241,17247240,23556265,31038281,255763896,31038465,35310534,35310535,31038432,31038431,27022149,25696403,19071025,13614998,9322701,6106826,3821009,3821010,254658747,12925854,8793158,8793159,8545942,5544205,5544208,8545954,12594863,17793943,24161472,256545941,28571968,21343872,15369007,10619342,7008167,254647013,5978644,5978665,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634479,4396356,4083947,2443461,2443457,4083926,4085758,4084380,2443697,1413015,1413016,2443675,254689821,12905786,12924274,255224775,24688836,28243561,36738765,46626851,55731628,44824108,35398522,27272122,27272123,29653279,25115932,18565227,13192748,13192749,18565229,25115915,32819942,32841889,41740916,46378628,36519353,36519354,46378631,49033197,39103681,39103680,49033196,55731618,55731619,257920140,73184077,86796372,76985378,63874513,60437162,256470572,39103679,49033191,60437156,73184071,86796366,100776977,92478816,81104115,257670140,67639431,67639430,59234691,59234692,71972383,85559620,84439548,84439547,87114107,73495497,73488951,60739876,60739877,73488953,87107715,259158944,97877665,84008910,256853616,46421398,36557977,28088562,28088561,21200680,15235610,10510169,6930678,4354502,2608312,1505400,1505401,2608318,4354513,6930701,10510216,15235700,21200220,255816227,30569584,30569583,28493065,21276181,15314383,10577091,6977069,6977070,10577093,15314386,21276187,28493073,36920885,33769877,33769878,40474786,256550692,68095805,258555435,259810035,109854988,261011371,150671651 Dl.O(d2) = 140030661,126677566,112820521,98829423,84903003,71329925,58597025,47206786,254909822,40097084,31417087,23927072,17585538,12412753,12412752,10505036,10505038,12572576,17766546,22445993,16277340,11318538,11318536,16277336,268406543,255841350,47210813,47210814,48297402,38387119,268209360,37304228,254503194,15500871,10719862,7082269,4458957,2678682,2678681,254120494,267787370,10719864,10719863,15500875,21510052,15897915,11021123,7296645,7296646,11021126,15897918,21987665,21510037,254555758,21987666,29316003,255128988,33234178,33234179,42194290,39356829,269097700,18882396,18882395,25485325,25485327,33234188,257792485,52552942,42194295,33234182,33234183,42194297,52552944,42194310,33234197,33234198,42194311,52552957,52552959,269504923,64427091,77595821,91526801,105750337,105750338,260536630,271541704,91526795,77595813,64427084,64427085,52552951,52552948,52552949,60510193,269770853,258020521,84264249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14310723, s2 = 9019944, dlinesl.size( ) = 8 s1 = 4057142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4247022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8375902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8375902, s2 = 7018004, int(edited[s2]) = 0 s1 = 8375902, s2 = 7018004, d1 = 9, d2 = 6 Dl.O(d1) = 261957506,150677487,162771364,162771368 Dl.O(d2) = 261420924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8375902, s2 = 7018004, dlinesl.size( ) = 14 s1 = 6443078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4248094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4248273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4248273, s2 = 3085663, int(edited[s2]) = 0 s1 = 4248273, s2 = 3085663, d1 = 50, d2 = 0 Dl.O(d1) = 163063742,163063743 Dl.O(d2) = 110897640,96852584,82911872,257098826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4248273, s2 = 3085663, dlinesl.size( ) = 28 s1 = 4058878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6988168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6988168, s2 = 4249061, int(edited[s2]) = 0 s1 = 6988168, s2 = 4249061, d1 = 13, d2 = 3 Dl.O(d1) = 261043547 Dl.O(d2) = 163303855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6988168, s2 = 4249061, dlinesl.size( ) = 12 s1 = 4249388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4059902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6988362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6988362, s2 = 10350881, int(edited[s2]) = 0 s1 = 6988362, s2 = 10350881, d1 = 34, d2 = 31 Dl.O(d1) = 261045623,151469373,163352918 Dl.O(d2) = 263041074,162741867,272468354,123966624,259808048,81588574,258461252,27245249,23286788,19122547,254949828,13607538,13607537,13627659,9331626,6112526,3824601,3824604,6112537,3831369,2295466,254936011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6988362, s2 = 10350881, dlinesl.size( ) = 18 s1 = 3852351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9387548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8065432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8065432, s2 = 4847041, int(edited[s2]) = 0 s1 = 8065432, s2 = 4847041, d1 = 20, d2 = 15 Dl.O(d1) = 138774544,151475979 Dl.O(d2) = 199657093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8065432, s2 = 4847041, dlinesl.size( ) = 22 s1 = 9461121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8582274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8582274, s2 = 7214597, int(edited[s2]) = 0 s1 = 8582274, s2 = 7214597, d1 = 38, d2 = 42 Dl.O(d1) = 262282802,163372404 Dl.O(d2) = 264113540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8582274, s2 = 7214597, dlinesl.size( ) = 20 s1 = 7076705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10172061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14218136, s2 = 14165803, int(edited[s2]) = 0 s1 = 14218136, s2 = 14165803, d1 = 20, d2 = 23 Dl.O(d1) = 255649578,20353777,27288606,28720492,269322967,15677579,10853671,7175744,7175745,10853675,15677582,21268016,15306615,10570411,10570410,15306613,21268013,28484509,36981429,29001253,21951494,21951491,21951502,26001572,19328994,19328993,26001568,21723056,15678239,15678240,21723058,29009697,29001822,21716308,21716307,23050206,30457748,29000283,21715070,15671919,10849474,10849473,12190425,8220590,8220592,8220657,8220653,12190492,17315133,23631111,31117689,24231485,24231484,31741153,257099305,31742133,256551075,24232452,24232453,24232466,24228842,17856448,12645511,12645512,12646066,17857373,21743899,17859962,12647714,8587340,5579961,5579963,8587346,12647724,17859984,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,15682628,15690903,15682877,15682878,21729933,29018398,37565009,255859378,47492261,47492260,58872915,258084061,47489574,47489573,58870828,58864829,47482764,47459551,40435477,256043735,21757161,21757162,21724049,15678904,10866273,7184339,7184340,10866281,15697013,21749022,21749021,21747061,21747058,21750082,15697225,15696315,10865873,7184110,4526086,4526085,7184370,10866336,10866298,7184354,4526076,4526075,7184350,254874499,3461565,3461566,5579170,3801459,2277019,1320464,1320462,2277018,2720717,1576558,896323,505612,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896189,1573916,1575753,1575711,1575710,1573886,1573884,2716229,2720832,2720829,4526275,3092100,1806543,1806542,2715709,2715708,255422205,29001795,37547495,40100446,31420431,23930278,17588389,12415022,8391282,5415145,3328928,1957832,1118359,627478,627481,501608,281297,155302,85205,85201,155290,85221,46709,46707,85150,85164,46678,46681,85172,155228,281162,501367,888627,516002,516004,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892389,3227441,2752873,2752875,2761414,2761411,3229655,3229656,4589644,2761396,1600779,910157,513444,287992,287991,513439,910144,531750,298194,165141,90879,50053,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093875,614118,614120,1093915,1915357,1094209,1094212,1915863,3216889,3216892,5261650,8192205,8192169,5261593,3216852,1884703,1075252,604057,604059,1075262,1884717,3216874,3232353,3250974,1908987,1090055,1087342,1087343,1904627,3199511,3199510,1919606,1096555,1096557,1089246,1089245,1907781,3249481,3234584,3234585,5281297,5298223,5275788,5275787,8204505,11717448,8194006,5268755,3234532,3234531,3235085,5281219,3234507,3234506,5281216,8208829,5279848,3233345,1896532,1896533,3233347,5279850,8176168,7819786,4961907,254370461,1739766,1739767,1739821,988699,556243,311064,311063,556241,599689,1066895,1870310,3195141,3201899,3248900,1907376,1089006,1089007,1907382,3248911,5247580,5248931,4625016,4625014,4625029,5248936,4788517,4788515,5242173,254535786,5247192,3205484,3205483,5247458,3206038,3206037,4722101,2845046,1650577,938691,529106,529105,938689,1650572,2845035,4722080,7472016,11052711,8178531,5248174,3206062,1877499,1877498,3206060,3214204,1882921,1882798,1074163,603505,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,166964,166967,301505,537644,953524,1675932,2887590,4790492,7574328,11399267,16379134,17109284,12023186,12023187,17109291,19197223,25653493,19034522,19034525,21144973,21144971,255875986,24681363,24681364,255875988,40460696,31766194,24254213,24254184,24254183,31766155,36493594,261049393 Dl.O(d2) = 273625734,15232118,254723211,4353005,2607149,1504604,1504603,2607145,4352991,6928795,10507517,15232061,21196070,22342389,16193644,11256788,11256790,16193653,22342134,22342494,23426290,17148545,16193725,11256842,7472871,7472870,7472750,4722629,2845399,1650805,1650797,1650792,938808,529180,529178,938825,1650829,2845437,4722693,7472860,10780185,8957610,8957613,13142892,11256576,7472707,4722609,4722610,7472713,11256587,15231963,10507441,10507442,6928853,6928852,10507506,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193248,11256558,7472699,4722605,2845387,2845380,2845365,1650785,1650783,2845359,2845417,2845423,4722672,7472822,11256771,15583601,13142881,13142879,16193336,11256597,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196043,28418285,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695675,38261591,38261656,268240732,29695789,29695226,22341771,255088729,11256465,7472622,254775309,16193111,22341670,29695103,38260926,48170563,59557294,72291577,72407075,59671800,58161487,46793933,46793935,58161491,59557574,59557573,48171309,38261724,38261723,48171307,59557534,48170889,48170887,48170996,59557313,59557488,48170834,48170833,48170578,48170577,48170778,38261676,29695761,23590516,23590514,31073808,39751472,39751484,48203020,47357822,37451245,28911626,21637016,15605156,15605157,21637021,28911643,37451274,38261561,39223859,38260905,38260906,48170546,38261548,38261549,48171212,59192600,48171318,48171319,59557759,60488946,50223262,40200919,40200918,44613556,44613557,49770011,50223248,59557846,48203061,48203059,58717040,54697163,43953376,43953379,54697172,59671807,59671777,48284574,38373785,38373783,35232249,27137499,27137501,35232256,44613591,44613590,38260901,38260899,48170527,47357791,37451256,28911633,28911634,37451260,47357838,39223866,39223864,35232172,35232171,44613481,47792397,37867936,29298729,29298730,37867942,47792409,55462251,59671760,48284535,38373753,38373752,48284531,55462167,54697131,54697132,55462089,44613468,44613470,43953388,43953390,54697193,44613514,35232193,27137458,27137459,35232195,257922159,258714002,67803669,55462275,44613664,35232284,35232285,44613669,37699389,37420158,28878530,28878452,27137473,20230637,14517147,9989192,9989191,14517146,20230631,27137465,35232206,40467916,40467917,50503793,52038933,47792380,39390605,30788163,23362651,17093759,17093758,23362647,30788156,39390594,30868248,30868247,39471682,38323989,34319648,29815140,29815139,38387807,48298137,47328408,47328407,58717068,59589435,268319180,59025809,59363482,72096709,62953818,55462055,55462056,47622595,37699375,29138662,21831281,21603215,21603216,20230614,14517136,14517135,20230609,27137426,35232140,37699380,29138672,21831293,21831294,29138676,37699384,47622600,59025832,256900092,47622609,37699393,268215796,37699371,37699370,47622590,59025825,255864274,81271146,67803619,55462057,269328765,29138665,21831284,15762885,10916633,7219711,7219713,10916641,15575450,15575451,21603252,28878576,37420211,47328415,41723658,37699419,29138692,29138690,37699412,39390629,37495673,28953088,28953087,30788177,30788201,30788202,29140106,29140108,37700917,40517532,40517533,37699430,32803599,32803598,32803552,25101682,25101683,30788167,29138624,21831267,21831268,29138642,37495724,37495723,37699614,38153279,29587086,28878429,24013821,17666060,12492296,8461051,7219720,4548823,4548824,7219727,10916661,15762922,21831329,29138720,31820848,36878811,36878812,38153283,48066120,40200949,31514548,24013716,24013717,255429356,47403460,50223345,255864376,24013793,24013792,255864374,255429338,37700960,254512362,29140176,254512358,41723776,36878942,36878940,46757610,37699116,29138646,255429333,10916626,10916627,15762877,21831270,29138648,37699360,32835068,29587093,22239221,16103680,11185760,11185759,16103673,22239209,29587071,29139858,21832326,21832327,21672832,15635412,15635413,15763913,10917379,10917378,12697355,12697354,17920868,24304511,31514609,31514608,25101661,25101660,20169020,20169021,15763950,10917402,10917404,15763959,21832625,29140184,37700972,46757614,46757613,50223225,40200894,31514500,256358266,29138564,37699286,31514515,31514517,268078042,58125954,46757662,36879007,28382673,28382674,36879011,46757667,37646552,37646551,37699546,267886496,31820866,30622714,23200803,23200802,30622712,37698697,37698696,40201002,40200889,40200891,47622701,37700953,29140151,29140150,32470078,32470080,29139779,21832241,21832242,27240455,20309777,20309775,27240448,33204684,25457494,25457495,33204689,42164861,37700559,29139783,29139786,37700565,38153245,40200958,40200960,47622542,37700404,29139613,21832081,21832080,28417790,28417789,36915580,46757654,36879001,36879000,46757651,47403453,47403451,58790941,255864360,35362521,35362520,43840521,257283745,257331327,35362397,35362396,44786522,54585284,43840532,34568799,255724547,9739678,6404557,254680217,14167124,10028966,6591123,6591124,10028969,14574616,20309046,27239464,268556035,256764513,257480032,55693888,55693980,54585270,43840520,34568786,34568785,34569259,34569257,43840026,43840027,54584916,54585549,54585548,54585261,43840508,34568778,34568776,43840470,34568750,26582198,19778849,14167117,14167118,19778855,19778830,14167105,14167101,14167103,9739730,9739732,6591140,4129285,2470101,2470100,4129280,6591131,10028980,14574634,20309066,27239454,20309039,20309040,27239265,35362247,44786371,54585179,54584877,54584878,43840851,34569056,26582404,26582403,34569054,34568585,34568583,43840282,43840034,35362648,27239551,20309092,20309093,26582492,26582491,34569204,28526436,21304506,21304505,19778751,14167058,9739636,6404539,6404540,4018212,2407827,1393245,792295,792297,1393249,2407831,4018221,6404598,9739751,14167258,14574618,20309050,27239465,35362530,44786645,43840479,34568753,34568752,43840475,54584933,54584932,66844507,80274499,94331105,108618698,258501432,68091690,55693967,256764529,27239544,26582015,26582016,26582347,255312177,9739707,6404574,6404573,9739696,14167155,9739743,9739744,14167242,19779043,255916836,43841051,54585038,44601053,35220108,35220107,44601050,55450215,54585741,255429490,44600755,35219902,34568594,34568593,43840302,54585103,59736339,59736337,66844598,54585117,54585115,60770677,49367940,49367943,54585632,60243051,48849574,44600658,35219831,27126468,20221788,14510755,9984969,9984968,14510752,20221782,27126463,35219828,44600657,54585624,54585145,44601281,35220300,27126780,27126781,35220303,44601285,54585006,43840143,34568463,34568462,43840138,35220495,35220494,44601409,44600798,44600797,55450035,44601319,35220335,35220334,43840679,54585406,55450022,55450267,59738670,67792772,55450531,44601486,35220503,35220504,44601489,269374780,268640398,44600920,44600640,35219814,35219815,44600641,44600647,55449939,67792511,60768454,55450405,44601271,35220293,268830803,55450407,59736323,55450534,44601493,35220508,27126922,20222049,20222047,27126915,35220498,35220462,27126880,27126879,35220172,44601128,55450278,67792595,55450118,44600917,44600916,255916806,35220049,44600959,44601483,55450526,67792617,67792599,55450126,255476686,35220024,44600922,55450124,49311536,49311535,60713573,67792639,81261089,67792721,55450398,44601267,44601268,55450399,59736326,48352544,44601508,35220522,27126935,20222054,14510884,14510883,20221935,255754215,35220225,44601208,44601417,44601424,44601425,44601586,44600933,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,49367973,48828863,39437327,30833178,30781855,23357111,17088850,12001321,12001320,17088847,23357104,27126927,27126987,35220586,44601011,35220077,27126902,20222037,14510878,14510879,20222041,20221926,14510820,14510821,20221931,27126714,35220218,44601198,39221083,39221085,44601470,44601469,44600888,35220005,27126574,20221853,20221839,20221840,27126555,27126613,29926664,38487412,43862035,49367996,39439164,30835109,23406208,23406209,30835112,30224349,30224348,38807395,39383774,30781834,30781835,28336646,28336648,22566452,22566450,29926547,38487267,37351716,28813030,28813029,255983385,23405015,30833787,39437764,47261241,49366068,60768436,67792686,81261092,84962996,71388146,71388147,59773589,59773590,55450082,44600874,35219998,35219999,44600850,35219971,35219972,44600853,55450071,47759122,255535336,59773526,48390408,48390407,41777653,32857069,32857068,41777650,52091172,49311519,39383770,39383771,48390505,41177193,41177194,38487311,38487309,48390469,51536549,41315695,32470173,32470172,41315689,47759068,48390364,38487202,38487203,35220551,35220549,37351607,47261054,37351731,28813041,21545049,15528043,10739414,7095675,7095677,10739424,15528061,21545082,28813112,25858208,25858209,29926517,29926518,38487225,37836687,29270540,29270539,37836683,37351754,28813061,21545057,21545056,28813055,24744904,24744903,32361342,41177212,38487290,38487291,48390456,59773541,48390479,47047206,37156381,37156383,47047215,47261121,47261122,58652934,71190793,59773565,55450519,55450518,55450553,58652868,58652955,47261144,37351680,28813001,21545028,15528033,10739409,10739407,15528026,21545016,28812970,35174424,35174422,38487216,29926515,29926516,38487222,48390383,53145692,47759114,47759115,47261215,37351745,37351744,28813101,28813103,24744895,24744894,32361322,41177176,51363359,59773554,54585359,51363387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14218136, s2 = 14165803, dlinesl.size( ) = 16 s1 = 8812924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4062259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4062259, s2 = 8893636, int(edited[s2]) = 0 s1 = 4062259, s2 = 8893636, d1 = 53, d2 = 110 Dl.O(d1) = 151546158 Dl.O(d2) = 274625229,233920833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4062259, s2 = 8893636, dlinesl.size( ) = 76 s1 = 4251957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4253102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4253717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8605189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8605189, s2 = 9326981, int(edited[s2]) = 0 s1 = 8605189, s2 = 9326981, d1 = 179, d2 = 144 Dl.O(d1) = 163544274,272513717,125620286,138958545,272817307,263466401,273085361,261056373,259256601,84004466,97873241,111805714,272163681,151663096,163544284,163544278 Dl.O(d2) = 261056371,259875505,97873229,84004463,70470863,272817300,260477213,97873236,97873235,260477211,261609557,111805704,111805707,262131363,257395249,256278677,255365973,10337218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8605189, s2 = 9326981, dlinesl.size( ) = 54 s1 = 3501789, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9519872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7111341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7111341, s2 = 9326455, int(edited[s2]) = 0 s1 = 7111341, s2 = 9326455, d1 = 4, d2 = 7 Dl.O(d1) = 262719618 Dl.O(d2) = 138964709,125625733,271337730,258758432,57775796,46421605,36558160,28088735,20915118,15009683,15009682,20915116,28088731,36558157,46421598,57775791,70475496,84009126,97877912,100695611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7111341, s2 = 9326455, dlinesl.size( ) = 2 s1 = 7111341, s2 = 9326455, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7111341, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8116699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8116699, s2 = 14204649, int(edited[s2]) = 0 s1 = 8116699, s2 = 14204649, d1 = 11, d2 = 11 Dl.O(d1) = 36558500,46421939,261056919,151670379,263466853,262618432,262618430,162533866,261785456,105467746,105467745,119707200,133581842,269824506,255247683,254910373,18679766,13286886,9069967,9069968,13286888,18679770,25250607,31411838,23922141,23922142,31411841,31318473,25085899,18541465,16354017,11380628,11380627,16354010,22526882,28299952,36797258,31318737,23828952,17491053,12332548,12332546,8622724,5606154,5606156,8622732,12692938,256557077,257688763,74834244,257999508,37346679,28808411,21541078,21541079,28808412,37346681,255521590,39032274,48954407,255967206,257012720,269368222,137304301,259448764,271831624,272883026,260937538,46492590,46492591,57848625,58595537,61431255,61431254,268393214,31702835,40383506,31689979,24181382,24181381,31689977,26914610,20030147,20030146,26914608,29363424,37930230,47850444,59247149,257030086,34260882,255717763,19648486,26383018,34260880,43360807,256226540,255455746,15899159,11021957,11021958,15899161,21998496,254945510,21199099,256181034,254989318,34883343,26824931,19958763,14290858,9817603,6450248,4043885,4043884,2422313,1401699,1401696,2422354,4044676,6451727,9820274,14295391,19966016,26836029,34899092,44260878,257898913,59548900,256400918,255670452,270356859,39344496,30745274,256479421,269821032,30860648,30860647,39464919,44344062,44344061,257901047,70747100,257413121,36774843,28278991,21074593,21074594,28278993,36774847,34218686,26345042,26345043,28550658,21325897,15353935,15353936,21325899,255935350,255669288,46733456,46733457,53840335,53840334,43940046,34665900,26672758,26672759,25549121,25549120,33310615,39409106,255981385,17106592,12020678,8080278,5175807,255013520 Dl.O(d2) = 36558500,46421939,261056919,151670379,263466853,262618432,262618430,162533866,261785456,105467746,105467745,119707200,133581842,269824506,255247683,254910373,18679766,13286886,9069967,9069968,13286888,18679770,25250607,31411838,23922141,23922142,31411841,31318473,25085899,18541465,16354017,11380628,11380627,16354010,22526882,28299952,36797258,31318737,23828952,17491053,12332548,12332546,8622724,5606154,5606156,8622732,12692938,256557077,257688763,74834244,257999508,37346679,28808411,21541078,21541079,28808412,37346681,255521590,39032274,48954407,255967206,257012720,269368222,137304301,259448764,271831624,272883026,260937538,46492590,46492591,57848625,58595537,61431255,61431254,268393214,31702835,40383506,31689979,24181382,24181381,31689977,26914610,20030147,20030146,26914608,29363424,37930230,47850444,59247149,257030086,34260882,255717763,19648486,26383018,34260880,43360807,256226540,255455746,15899159,11021957,11021958,15899161,21998496,254945510,21199099,256181034,254989318,34883343,26824931,19958763,14290858,9817603,6450248,4043885,4043884,2422313,1401699,1401696,2422354,4044676,6451727,9820274,14295391,19966016,26836029,34899092,44260878,257898913,59548900,256400918,255670452,270356859,39344496,30745274,256479421,269821032,30860648,30860647,39464919,44344062,44344061,257901047,70747100,257413121,36774843,28278991,21074593,21074594,28278993,36774847,34218686,26345042,26345043,28550658,21325897,15353935,15353936,21325899,255935350,255669288,46733456,46733457,53840335,53840334,43940046,34665900,26672758,26672759,25549121,25549120,33310615,39409106,255981385,17106592,12020678,8080278,5175807,255013520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8116699, s2 = 14204649, dlinesl.size( ) = 2 s1 = 8116699, s2 = 14204649, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8116699, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10336011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350449, s2 = 13575574, int(edited[s2]) = 0 s1 = 10350449, s2 = 13575574, d1 = 10, d2 = 10 Dl.O(d1) = 33924490,33924478,33924477,42977825,53451860,65471575,78801541,258399950,95229670,92907535,78801545,78801544,92907533,107312316,107312315,107312322,95236916,81181656,67716764,55377016,44530869,44530868,55377014,67716761,81181653,81181664,67716769,63586578,51800672,255333188,18447909,24966783,32636618,255749134,256749922,67708163,81173659,87940900,259473835,73601397,60851677,60851676,73601389,60851674,60851675,73345066,73345065,74020791,74020786,61240193,49761187,39742475,39742476,49761189,47230458,46959724,46959725,58327055,58327061,58327060,71042594,71042577,71042578,60600011,49199291,39273091,39273092,49199292,60599958,49199248,39273060,30676636,23260469,16997363,16997362,23260468,30676634,257018487,60599952,60600005,49199288,49199287,60600007,61663101,50177110,40151813,40151812,40151811,258271043,61663104,74447376,74447386,67588776,55247085,55247086,67588778,67588783,67588782,74216227,74018744,256869880,39740604,31062695,31062696,35403507,27277321,20341578,14599338,14599343,16903848,16903847,19899734,20261070,20261071,27183793,35302862,28066448,20895461,19316702,19316701,14991554,10322747,10322749,14991559,15591012,10785495,10785494,15591010,255141911,255141913,23286125,30701933,39299524,49226509,60627741,73373437,257391498,57683657,257998113,258989576,257161388,47558848,58940784,71662190,61491478,50013731,50013732,60840042,73589716,258535710,50013733,44789653,35365336,35365335,269204755,68094389,81584221,81011775,257901417,55198125,55198126,44347569,34970016,26890848,20009725,20009726,26890849,34970017,39964816,49981363,53011418,53011417,62104032,50605392,50605391,62104031,74907553,88546066,90628069,104798655,260164674,76762433,76762434,74907547,62104028,62104029,74907549,76762427,63669756,63669757,76762430,258806514,61449594,74228852,87833746,101807601,270833166,63669766,51872790,41580665,41580664,51872789,50605387,50605386,62104023,62104035,74907557,88546068,74907555,74907556,76762439,76762441,67542055,257301403,44347567,257901415,258097302,95070897,109325829,123517132,269330798,256365460,85159926,85159925,71593274,58871052,47489888,47489889,58871055,71593278,255062082,71593273,70393650,57699682,46350474,36492745,268217516,44825069,44825070,51532283,41311727,32466626,24827618,24827617,32466625,36492746,28030283,20862880,14960996,14960997,20862882,28030287,28030280,28030281,36492743,46350472,57699681,70393647,70393646,70393645,83919760,97777957,111699668,104353367,90197985,76368280,63335817,256365448,90197987,102585380,88575400,74933627,62126448,257245328,88575399,102585378,116686893,130526589,143849241,151674271,151674270,163555322,151674268,138969415,138969416,262132329,163555323,174398347,184053679,187841500,262383588,168423637,262383590,156973071,144572281,131346747,131346746,144572279,136775123,122944956,108679732,94392428,94392427,89322759,75564874,75564873,75564878,258201742,51003273,62626064,75564875,75564870,75564869,89322753,103415949,117545619,127648277,113780331,113780332,127648279,127648285,260081272,113780327,127648274,140996232,153662370,156973068,165442670,176124461,178733354,168423650,156973079,144572287,131346753,117545625,117545626,131346755,144572291,156973084,167916380,167916379,178342392,187543584,187841513,178733371,273411227,178733377,168423662,168423663,178010208,167542062,155930046,143389344,143389343,155930044,155930072,143389368,143389367,155930071,167542085,162073358,273062804,149859173,143389356,130058710,130058709,143389354,262354399,149859177,136716496,136716497,143389340,130058698,130058699,136716468,122884483,122884481,261533237,122884497,108620099,108620100,108620093,94332808,80276411,66846847,66846846,259130615,94332802,94332801,108620084,122884479,136716466,272447895,261649682,112574820,112574819,108620080,108620081,122884478,136716464,149859151,162073338,164395009,152531923,139815406,139815405,136716475,136716474,149859159,162073346,164395003,164394982,164394981,164395007,259508782,269873668,130360478,130360479,130360477,116522121,102425126,88423683,74791473,74791474,77449911,256523888,91374005,77449916,76362145,63330787,51607142,41381344,32531037,24886396 Dl.O(d2) = 33924490,33924478,33924477,42977825,53451860,65471575,78801541,258399950,95229670,92907535,78801545,78801544,92907533,107312316,107312315,107312322,95236916,81181656,67716764,55377016,44530869,44530868,55377014,67716761,81181653,81181664,67716769,63586578,51800672,255333188,18447909,24966783,32636618,255749134,256749922,67708163,81173659,87940900,259473835,73601397,60851677,60851676,73601389,60851674,60851675,73345066,73345065,74020791,74020786,61240193,49761187,39742475,39742476,49761189,47230458,46959724,46959725,58327055,58327061,58327060,71042594,71042577,71042578,60600011,49199291,39273091,39273092,49199292,60599958,49199248,39273060,30676636,23260469,16997363,16997362,23260468,30676634,257018487,60599952,60600005,49199288,49199287,60600007,61663101,50177110,40151813,40151812,40151811,258271043,61663104,74447376,74447386,67588776,55247085,55247086,67588778,67588783,67588782,74216227,74018744,256869880,39740604,31062695,31062696,35403507,27277321,20341578,14599338,14599343,16903848,16903847,19899734,20261070,20261071,27183793,35302862,28066448,20895461,19316702,19316701,14991554,10322747,10322749,14991559,15591012,10785495,10785494,15591010,255141911,255141913,23286125,30701933,39299524,49226509,60627741,73373437,257391498,57683657,257998113,258989576,257161388,47558848,58940784,71662190,61491478,50013731,50013732,60840042,73589716,258535710,50013733,44789653,35365336,35365335,269204755,68094389,81584221,81011775,257901417,55198125,55198126,44347569,34970016,26890848,20009725,20009726,26890849,34970017,39964816,49981363,53011418,53011417,62104032,50605392,50605391,62104031,74907553,88546066,90628069,104798655,260164674,76762433,76762434,74907547,62104028,62104029,74907549,76762427,63669756,63669757,76762430,258806514,61449594,74228852,87833746,101807601,270833166,63669766,51872790,41580665,41580664,51872789,50605387,50605386,62104023,62104035,74907557,88546068,74907555,74907556,76762439,76762441,67542055,257301403,44347567,257901415,258097302,95070897,109325829,123517132,269330798,256365460,85159926,85159925,71593274,58871052,47489888,47489889,58871055,71593278,255062082,71593273,70393650,57699682,46350474,36492745,268217516,44825069,44825070,51532283,41311727,32466626,24827618,24827617,32466625,36492746,28030283,20862880,14960996,14960997,20862882,28030287,28030280,28030281,36492743,46350472,57699681,70393647,70393646,70393645,83919760,97777957,111699668,104353367,90197985,76368280,63335817,256365448,90197987,102585380,88575400,74933627,62126448,257245328,88575399,102585378,116686893,130526589,143849241,151674271,151674270,163555322,151674268,138969415,138969416,262132329,163555323,174398347,184053679,187841500,262383588,168423637,262383590,156973071,144572281,131346747,131346746,144572279,136775123,122944956,108679732,94392428,94392427,89322759,75564874,75564873,75564878,258201742,51003273,62626064,75564875,75564870,75564869,89322753,103415949,117545619,127648277,113780331,113780332,127648279,127648285,260081272,113780327,127648274,140996232,153662370,156973068,165442670,176124461,178733354,168423650,156973079,144572287,131346753,117545625,117545626,131346755,144572291,156973084,167916380,167916379,178342392,187543584,187841513,178733371,273411227,178733377,168423662,168423663,178010208,167542062,155930046,143389344,143389343,155930044,155930072,143389368,143389367,155930071,167542085,162073358,273062804,149859173,143389356,130058710,130058709,143389354,262354399,149859177,136716496,136716497,143389340,130058698,130058699,136716468,122884483,122884481,261533237,122884497,108620099,108620100,108620093,94332808,80276411,66846847,66846846,259130615,94332802,94332801,108620084,122884479,136716466,272447895,261649682,112574820,112574819,108620080,108620081,122884478,136716464,149859151,162073338,164395009,152531923,139815406,139815405,136716475,136716474,149859159,162073346,164395003,164394982,164394981,164395007,259508782,269873668,130360478,130360479,130360477,116522121,102425126,88423683,74791473,74791474,77449911,256523888,91374005,77449916,76362145,63330787,51607142,41381344,32531037,24886396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350449, s2 = 13575574, dlinesl.size( ) = 2 s1 = 10350449, s2 = 13575574, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10350449, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 14165500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2945466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2945466, s2 = 8315723, int(edited[s2]) = 0 s1 = 2945466, s2 = 8315723, d1 = 20, d2 = 7 Dl.O(d1) = 87879292,100157219,100157218,114187491,128074080,261237428,128072806,258822146,258154683,48467268,38554601,38554602,48467270,258258525,50021981,40003601,31325780,31325779,40003599,50021978,61500236,72597270,59859726,59859727,72597273,86194568,260021435,128074081,115898614,101852524,87879362,87879360,87879361,86194596,72597295,59859740,59859742,72597299,86194588,259403963,74276960,61500122,50021904,50021903,61500121,74276958,87879263,101852434,256272512,255360538,52931253,52931252,64857058,78054485,91981239,106179360,257998828,51380245,41190100,32371766,24753344,24753345,256593621,38463996,38463995,42115436,37999718,33160977,25419910,25419909,28247520,28247521,29274355,37840881,37721766,33161286,25420168,18828066,13414652,9172023,6003209,3754296,3754295,6003205,9172017,13414643,18828057,25420156,33161265,42115636,52468180,58425152,258052681,52262440,64111246,77257820,91176238,260255475,133505844,146761554,151699753,163578944,151699754,138995973,125657644,261059907,125657643,111842145,111842146,114186110,100155729,86193073,86193072,259403775,72595807,59858237,48467279,48467278,59858234,72595801,66704785,54471771,271812384,43661901,43661900,43661438,34460441,26520173,19744880,14149120,14149121,19744889,26520204,34460540,39674727,31006884,23531501,23531499,31006876,39674695,49680377,61145872,55090610,55090609,67424996,80893614,94956386,109218166,123419897,137162125,260623195,100175265,86211368,261200305,261028146,77500138,77500139,91431256,258586044,55137571,271165223,272322319,260194833,259579317,75650397,62705163,258327413,89412133,260840658,269065870,53212185,65197902,78482214,259000338,89412132,271475003,272654377,123462275,109265580,95007179,95007180,261545961,162385522,273291941,263816084,173432028,173165222,263010507,117630528,103499621,89405536,89405537,260194747,131432685,274609689,274584478,265329994,273495910,262568016,56699582,269706220,256253480,254319930,19956256,19956258,14314364,14289229 Dl.O(d2) = 88317997,74690378,257676936,61896642,74690373,258908694,102313600,88317990,74690374,74690375,260148681,130242610,143570350,156105298,167709076,178165318,187393166,263259052,187393162,195423839,263642406,187393159,178165309,178165310,187393161,195423837,202290373,208063505,207312540,201406389,194388721,186198235,176803766,272588364,141803102,128450781,128450780,128450782,114567436,100536909,100536908,114567434,128450779,141803100,154449354,154449358,155100206,155100205,166796521,161203859,148888746,135640234,121696239,259328774,92910393,107315123,121696238,116405976,102313598,88317985,74690370,258286072,74690371,61896641,60241925,48848240,48848241,48799407,48799408,60196263,54632523,54632524,66890068,80318489,257644182,256514982,33829512,26011470,26011471,255274048,46706941,36824837,36824838,46706942,47341863,37434483,256143776,28329294,21118716,15171734,15171733,21118714,28329290,24970297,18450540,13106710,8932771,7701471,4874217,2937099,2937097,4874220,254796115,16590587,22807936,30198776,255915258,22115148,28893124,268977326,48805800,38883801,30298313,255504633,7751069,4908781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2945466, s2 = 8315723, dlinesl.size( ) = 2 s1 = 2945466, s2 = 8315723, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2945466, Dl.E( ) = 22, 9.78e-06 seconds used appending s1 = 10356427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356427, s2 = 3097214, int(edited[s2]) = 0 s1 = 10356427, s2 = 3097214, d1 = 67, d2 = 6 Dl.O(d1) = 192546092,184091943,174438843,163598276,262622165,163598278,151719553 Dl.O(d2) = 97926273,84055620,70520704,257400319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356427, s2 = 3097214, dlinesl.size( ) = 62 s1 = 4255478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4067224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4256454, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4256545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6990243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13714693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4256875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6990340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6990340, s2 = 12536005, int(edited[s2]) = 0 s1 = 6990340, s2 = 12536005, d1 = 5, d2 = 11 Dl.O(d1) = 261065717 Dl.O(d2) = 262625151,184123937,192574227,199845659,205992375,211073975,211073976,215227390,218649052,218649078,215227405,211073985,205992382,205992383,211073987,215227407,218649068,215227401,211073983,211073982,215227399,218649067,221529514,223998516,226137824,223998512,221529511,221529512,223998514,226137827,227999755,227999784,229634981,229634982,229634971,229634973,227999767,226137808,226137787,223998496,223998497,226137813,223998527,221529525,221529524,265529001,223998475,221529488,218649061,218649062,221529503,223998503,223998491,221529497,218649069,215227401,211073983,211073982,215227399,218649067,221529514,223998516,226137807,226137806,265834771,226137819,223998506,223998507,226137821,227999785,227999788,226137823,223998509,221529509,218649064,218649065,265352893,226137815,227999773,226137814,226137813,223998527,221529525,221529524,265529001,223998475,221529488,218649061,218649062,221529503,223998503,274456063,229634976,227999790,226137831,226137826,226137827,227999755,226137820,223998506,223998507,226137822,226137835,223998525,223998526,226137797,223998481,221529492,221529493,223998483,226137791,265352891,218649048,215227388,211073974,211073975,211073976,215227389,218649050,218649061,218649062,221529505,221529491,218649078,215227405,211073985,274082603,218649070,218649071,221529490,221529489,221529527,223998530,274454721,223998535,223998533,226137836,226137797,226137793,223998528,223998529,226137829,227999780,226137818,226137817,274334973,218649077,265159343,223998529,226137829,227999779,226137816,226137817,223998534,221529529,221529526,221529524,265529001,223998475,221529488,218649061,218649062,221529505,223998477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6990340, s2 = 12536005, dlinesl.size( ) = 2 s1 = 6990340, s2 = 12536005, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6990340, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8515239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9034584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9034584, s2 = 8230434, int(edited[s2]) = 0 s1 = 9034584, s2 = 8230434, d1 = 34, d2 = 27 Dl.O(d1) = 262557503,262140234,260487434,261066481,151774442,163648937,163648938 Dl.O(d2) = 5674999,8718441,9946170,9946171,8801992,8801989,12364426,17530874,22912120,24492336,18067625,12809397,12809398,16680246,11643064,11643065,16680248,19103607,18066075,18066074,22913697,16680745,16680746,22913701,18471180,13122739,8944290,8944291,7756331,7756330,11642465,16679382,18087723,12823152,8718256,5674923,5674924,8718262,5674998,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,16678959,19482721,22913199,22913198,24995993,24996017,18471727,13123108,8944493,8944492,13123105,18471725,24994427,25005480,257753713,76764514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9034584, s2 = 8230434, dlinesl.size( ) = 36 s1 = 4257219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4257640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4254538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13171445, s2 = 15133638, int(edited[s2]) = 0 s1 = 13171445, s2 = 15133638, d1 = 34, d2 = 0 Dl.O(d1) = 39745,39742,73463,72846,39531,39529,72835,133906,242121,428962,754957,1323109,2281252,3808285,3817220,3813790,254211986,254463790,19039478,19144090,13669432,254661249,6131370,9360723,9361358,9361357,13670403,13552011,9277538,6077021,6077022,6092373,6118390,268781600,9361374,6131808,3836217,2298242,1333513,1333514,2298245,3836223,6131816,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,7713769,10484468,9328324,6110441,6110440,254232624,6084083,6084082,9287446,13564750,19006281,13633331,13633332,19095602,25727072,33505372,255878108,40451205,40365487,31670791,24161146,19583816,19128130,256668405,53014426,271575343 Dl.O(d2) = 139275385,151982356,262628393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6990634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6990634, s2 = 10341883, int(edited[s2]) = 0 s1 = 6990634, s2 = 10341883, d1 = 54, d2 = 89 Dl.O(d1) = 261069467 Dl.O(d2) = 259493992,257638234,255165670,36848000,255553724,36700250,28209285,21016254,15094440,15094439,21016251,28209280,28209272,21016245,21016246,28209274,36700242,39261553,38515106,38515105,256004317,256005597,17391020,12255294,8276665,8276666,5603612,3479177,2064776,2064779,3479195,5603716,8619509,6963116,6963117,10557437,15292687,255166158,21263060,15301310,15282995,15282994,10550394,10550393,10568596,9247629,6056476,6056475,9247622,6068396,3796858,3796415,2273992,1318670,752288,752289,1318675,2273997,3796431,4366932,4366931,6949581,10537949,13522094,13522093,10565935,6969018,5196575,3170584,3170582,5196568,8111171,12063156,17158721,17158719,23434359,25569816,21231850,15262199,15262198,12385285,10574230,10574231,15266089,10563756,10563755,15299320,21262280,21638955,255028800,10797852,15270629,13523513,13523514,18959510,257392584,23554657,30108455,22727587,22727588,18721629,13327174,9106045,5958369,5958368,9106042,13327169,18721622,20823255,20823256,27987974,36447033,32287170,24677496,18212487,18212486,24677495,26625698,19814824,14193529,14193528,11188695,11188696,16108049,16522739,16517121,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,14933944,14933931,10786615,7126927,4486967,4486966,2695769,1561730,1561731,2695788,4487049,7127068,10786854,15592805,21623317,28898574,22721959,22721958,30103567,38680728,48597000,49997622,46368919,36510555,28046739,28046738,36510554,38679906,32991054,25267139,18695348,268273901,12874437,9594767,6299542,3947052,2363319,2363318,3947048,5700504,5700514,7723929,4889043,2946217,1708675,1708677,2946223,4889050,7723940,11602751,13975801,10631425,10631426,10649026,9597823,9597824,8471932,5476165,3369796,3369795,5476162,8471925,12506282,12505328,8471266,5475779,5475780,8471271,12505336,13972263,17682665,12505357,8471282,5475789,5475790,8470853,5475537,3369439,3369437,3369446,5475548,8470870,8471897,7007594,7007593,7977621,7977623,11923554,15360175,10612105,7002475,4401134,2637598,2637599,4401138,7002485,10612112,13730746,15391433,15362864,10614312,7004288,4402593,2638748,2638747,4402591,258669393,98515556,259732508,37365208,47275291,46425123,256279397,20916910,20916911,28090952,22134868,16018898,16018897,15011014,10340524,10340523,15011012,20917046,16018618,16018617,22134459,22844724,22844725,28090965,20916919,15010930,10340465,6807370,4269501,4269502,6807373,10340496,15010987,20917011,23666805,23666804,31154524,38033156,36560994,28091027,20916972,15010962,15010960,20916963,15397792,10642115,10642114,15397789,21379989,28091031,20916978,20916979,28091032,256291904,47946800,38032929,29470138,22134420,22134419,22953191,22953190,30355044,29470653,29470652,30354949,38033458,38033459,38941239,38941238,40291968,50312768,61393688,258113508,47946899,47946900,257503542,256381318,22134742,29470599,38033397,38033407,29470610,22134751,255887639,38033404,47947153,47947190,38033446,29470662,29470663,38033186,47946986,38033439,38033440,38941235,47946835,38032988,38032987,36561061,36561062,46425258,57780231,70480475,72073171,59338916,47947328,47947243,38033503,38033504,47947247,48860716,46591701,46591700,57968024,48860778,38941258,38941257,48860774,38948252,38948251,48867995,60261017,71912008,70841060,58126634,46758275,46758276,58126639,70764198,58045270,58045269,70764196,59338824,59338826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6990634, s2 = 10341883, dlinesl.size( ) = 12 s1 = 4258314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4258375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4258375, s2 = 11658681, int(edited[s2]) = 0 s1 = 4258375, s2 = 11658681, d1 = 43, d2 = 50 Dl.O(d1) = 163860435,163860436,174677906,184300414,192719462,199959278,206076714,211133482,264947851,218679367,215268970,264947849,221553666,274335449,219842526,216604384,216604383,212698316,207919900,202121695,195223093,187152931,187152932,263244469,167387601,155755028,155755027,261295255,115975393,101930860,87958089,74355855,61579102,257073129,31397242,23904148,17559943,255568665 Dl.O(d2) = 260722611,115865576,270901751,61460831,61460830,259501969,87844976,260287254,258417612,254655080,16076957,16076959,15225189,10502162,10502161,15225187,21187634,28409015,33391347,42323325,36900773,28403572,21182719,21182720,17286175,255841455,15506175,11671608,11671609,16713364,11671624,11671623,15375112,15375111,15390006,10635901,10635902,15390010,21370139,26143146,19445985,19445986,21350168,21350167,21350161,21350160,25084226,32781595,37315620,28779978,21516957,21516958,28779982,33982888,26143139,26143138,33982886,43040362,47224418,268716624,21516971,15506193,15506194,21516973,28779998,37315632,47224368,37315565,37315564,47224367,53811707,43286621,42502795,33504134,25725984,25725986,26999491,20109259,14420113,9918598,9918597,14420109,20109250,26999480,35084337,44459504,43286625,43286624,37197456,37197457,37113000,28603769,28603768,37112997,46998687,58369026,64015765,76614038,71187867,58465943,58465942,57870727,46514629,36647153,36647152,41856702,41485484,32606652,24942940,18429168,13090400,13090401,18429170,24942941,254675810,41856706,41856707,48805832,47990749,46514622,46514621,41485495,41485494,36647161,32926551,25211044,18646303,13258510,9046499,9046498,13258507,18646298,254293132,41856701,32926537,32926538,254635478,32606644,24942932,24942933,21516924,21516922,24942945,24942944,32606661,36647062,32926509,32926508,41856671,52181690,254901728,52181703,57870724,46514626,36647150,28171472,20990556,20990555,28171470,36647147,36647155,32926522,254200250,13258505,9046497,9046496,13258503,254200248,32926516,254635474,41485518,32606673,24942952,18429177,13090406,8920489,5821426,5821425,8920485,13090398,18429164,18738305,18738304,25315773,33043669,36647110,28171432,20990532,15077124,15077125,20990536,28171438,36647115,41856667,32926504,25211019,18646287,15077050,15077033,15077034,20990406,15077137,10399404,6855284,4302257,4302258,6855287,10399406,255236246,15077055,15077056,20990436,28171291,36646936,46514448,57870561,57870537,46514420,46514419,57870536,46514425,46514426,46514658,254901730,32771618,28171497,28171498,36647179,36637645,36637644,39417638,39417639,46514421,36646915,268370292,15077122,15077123,20990531,28171431,36647108,36647186,36647171,28171491,28171490,36647169,46514647,46514452,38634817,30061003,22683910,16485178,11486049,7639631,7639630,11486047,16485176,22683916,30061013,38634833,38596006,38596005,256606954,46514598,46514599,256805746,57870740,70572282,84108921,74041940,258240153,49783467,257631013,74041938,87645096,101612067,115653316,261816533,262126808,142859010,129539866,129539867,128180427,128180426,141537841,154200595,165959296,154200590,141537832,141537833,262126808,142859010,142859009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4258375, s2 = 11658681, dlinesl.size( ) = 56 s1 = 7117400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165151, s2 = 9272301, int(edited[s2]) = 0 s1 = 14165151, s2 = 9272301, d1 = 11, d2 = 13 Dl.O(d1) = 98945738,112935118,126789717,140140347,144650525,131427895,117626855,103496610,89402922,75641977,62697966,51068998,51068997,62697964 Dl.O(d2) = 77348204,71105673,58388958,58388957,52350045,42010663,255661162,13356385,254443534,6861138,255374477,28204625,36695100,29376669,29376668,37824830,42907945,40149950,36555746,36555745,40290919,40290918,41657908,32747401,32747402,41486917,32607895,32607896,29700562,29700563,38266674,47845877,47845875,59242678,59042640,58932756,58932757,254407706,60666686,49266212,49266211,50185688,43062845,43062847,53542070,48127964,48127963,38744235,38744236,46504273,49266790,49266791,49265987,39340004,30741174,23320696,17055740,17055739,23320693,30741169,38347179,33378595,33378596,42367476,52766978,61669860,50185467,50185468,57991370,46615418,46615417,57991369,70708223,84259447,98153327,257079256,139296412,139296413,152003802,163872453,174690435,184313233,192732384,199972390,206090371,211147457,215282568,218692110,219040917,215687067,211632571,264402872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3862669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7701043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7701043, s2 = 16170852, int(edited[s2]) = 0 s1 = 7701043, s2 = 16170852, d1 = 44, d2 = 34 Dl.O(d1) = 273090355,262144626,261071292 Dl.O(d2) = 55396420,44549615,35171943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7701043, s2 = 16170852, dlinesl.size( ) = 2 s1 = 7701043, s2 = 16170852, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7701043, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 13631449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6856620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6856620, s2 = 11531402, int(edited[s2]) = 0 s1 = 6856620, s2 = 11531402, d1 = 9, d2 = 7 Dl.O(d1) = 259326320 Dl.O(d2) = 224252595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6856620, s2 = 11531402, dlinesl.size( ) = 28 s1 = 4261415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4261415, s2 = 1419541, int(edited[s2]) = 0 s1 = 4261415, s2 = 1419541, d1 = 17, d2 = 15 Dl.O(d1) = 164119476,152232459,139501433,126126525,112267301,112267300 Dl.O(d2) = 258841396,58099837,46727772,36844648,28347116,21133926,15184199,10473592,6905774,6905775,10473596,7687755,4864579,2931270,2931269,4864578,7687752,11421191,11421192,14340282,11624560,7742852,4902952,4902950,7742846,11615728,9145061,9145062,12837772,11125247,11125246,7689472,7689471,7587201,4799045,2892647,1678828,1678829,957090,957092,1683143,2901238,4814176,4808600,2898041,2897940,2897939,4808405,7600873,8624425,6813849,4273839,2930632,2930635,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,538946,302090,167266,167267,302095,538918,956053,1680872,2896694,2896755,1680904,956066,956068,1680912,2896771,4806430,4900997,4802169,4801607,4801608,7590935,11420837,16404706,22587283,22588273,255112987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4261415, s2 = 1419541, dlinesl.size( ) = 14 s1 = 6991311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7186323, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 124019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4261774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164460, s2 = 16275704, int(edited[s2]) = 0 s1 = 14164460, s2 = 16275704, d1 = 24, d2 = 22 Dl.O(d1) = 4020296,2409056,2409054,4020287,6408164,6408199,6408201,9745524,14175954,10976562,10976560,15839833,11781596,11781597,11781548,11781547,12934292,12934293,18234939,24705820,21670324,21670321,28950088,37492518,47400550,39119502,34583708,26596570,26596569,34583706,34598430,34598429,43868724,40956644,32177802,268087798,23104528,30521544,30521900,30521499,30521500,32177037,32177038,256410828,25683849,19060460,19060459,25683847,33455642,33455663,33455664,39503885,32399763,32399762,33455686,33455687,42448871,49048635,39119396,37492436,37492437,47399693,47399692,39119405,30521739,30521741,23463224,17184216,17184214,23463378,30896613,37491706,28949086,21669380,21669379,28949085,37491705,33455693,33455694,26244915,26244916,256211298,15632913,15632915,21583475,21583474,26244898,26244899,34108849,37491828,28949249,28949248,29678785,22327563,16181637,11247648,7466098,4718134,2843451,1649475,937852,937853,1649480,2843464,4719770,7468557,11251058,11932280,7985147,7985146,11932271,16185607,16185608,16185641,16185640,22332287,17173884,12075198,12075199,16186010,11251016,11251015,16186007,22332814,29684117,22332354,16185688,11250820,7468407,4719684,4719685,7468409,254697282,21038577,15111459,15111460,21038579,23275498,254986444,11932257,16186067,16186066,17016585,17016573,11932267,11251028,11251029,16186023,22332844,29684472,22332600,22332601,29684479,38249498,38248839,29683987,22332248,22332249,29683991,22332912,22332913,29684011,29684009,268406730,29684070,22332311,22332312,29684066,22332308,16185662,16185661,254774909,7468565,11251075,16186107,22332939,22325165,16179737,16179736,22325160,29676164,38240946,38249839,38249838,38249823,29684771,22332831,22332830,29684765,38249814,48157864,59255907,51536342,41315464,32469980,32469981,32470013,41315490,38248830,38243601,38243600,36879063,28382722,28382724,36879065,29684886,22332925,22332926,256400703,38248936,256942641,29684891,29684890,256400619,29684074,257522447,59536802,48150059,48150058,59536800,59148384,59148385,59544720,61918179,50428145,40394666,40394665,48159040,51536345,41315467,32469985,24830479,18337005,13016804,13016805,18337011,24830485,32469991,36879164,41315484,51536368,51536321,41315441,32469968,32469967,28382782,22332330,16185679,11250814,11250816,16185681,22332335,29684100,256942643,55728091,44820158,44820159,48157973,38248975,29684106,256400625,29684882,28382793,28382792,268378515,21165089,28382729,36879077,41315453,48139510,38229377,29662943,28382774,21165121,21165120,21165131,21165130,28382788,36879162,41315430,38248965,38248966,48157960,46764304,36886089,28389414,28389416,36886092,46764309,58131933,58126074,46757791,46757790,58126071,58126003,46757730,36879083,36879082,46757728,48157962,48157961,38374518,38374517,48285256,46757854,36879173,255091408,21165135,28382799,36879175,46757769,36879112,36879111,46757764,58126047,58126044,58126046,70840616,257059348,36879247 Dl.O(d2) = 213712763,209205303,203713454,197139366,189436888,180528816,170394162,159057906,146692381,260987914,146692383,133443209,259155660,91121457,257306396,256740882,41890888,40032693,32955510,25235552,22092589,22092587,22092668,15985152,11097180,7359684,4649002,2800383,1624457,1624456,2800380,4648990,7359656,11097316,15985422,22093034,26931911,26931912,20046780,14361022,14361024,20046786,14366267,9872717,9872716,14366263,12714636,8639049,5618416,5618415,8639047,267886040,20066302,20066304,21167560,21167563,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,10913298,14336867,14336870,9849008,6468780,6468778,9849003,14336875,20017857,26900109,34979483,44356916,55207328,255409268,28770923,21509973,15500809,10719818,7082245,4458945,4458946,7082247,254226576,21509979,28770931,37304192,42303120,33322350,33322349,42303118,52689927,64590554,77773314,91700676,105907777,120119382,133961071,147183052,151582479,138879907,272162683,111741063,97818977,83960055,70433745,57739332,46389259,36529148,28063036,20892453,14988672,10320012,6789571,4256650,2544724,1466053,1466054,2544726,4256653,6789574,5946788,4235737,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111404,1945438,3306847,5377717,8332239,6792755,4258925,2546100,2546099,4258923,4267202,6804210,6765431,4239942,4239941,6765427,6805996,6771087,6755710,4233412,4233413,6755712,10279192,9056960,5921315,3702588,3702590,5921318,9056968,13272118,12732761,8652151,5627666,3496803,3496800,4269677,2552742,1470491,1470488,2552735,2696534,1933401,1933399,3287681,5349319,7471372,10285856,6761085,4236976,3711462,3711463,4251613,2541723,2541721,2220767,1288281,735512,418183,418179,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472336,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6821614,4279315,2558544,2558542,4279308,2570451,1479878,1479877,2570446,4299325,6851090,9060767,5924365,3704517,3704520,3712987,3704639,2218771,2218769,3704632,3715249,4276881,6818138,8567575,8567573,12621286,11529132,11529130,10298952,10298953,12562100,8517439,5515803,5515802,5591867,5591863,6815645,4274986,2555870,1472170,832657,469527,469529,832662,1472191,2555917,4275045,5210771,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332804,597051,1061758,1061761,1599710,1599711,2759600,254516913,7273481,4586960,254516913,10987855,15853627,21942096,256369263,47751714,47751717,37829378,37829379,257491393,47751712,256369261,21942096,256369263,47751713,47751716,47751715,59150272,59150274,59150273,258725063,99413191,99413185,85472358,71888006,71888007,85472360,99413188,260568467,103701215,89585404,258333995,257135971,24641296,256584719,51188581,62838797,75802963,259586841,117855762,131683964,144932796,157346528,168785520,179064863,263124164,166496819,154790457,142156352,261137502,114904282,100853538,269798318,256901090,30583928,23166000,16903276,16903275,14525460,9994551,6568544,6568545,9994554,14525465,20242829,27154071,23660604,23660606,29275482,29275481,37842190,37842595,46720522,36837581,28340644,21128524,21128523,21952072,29275794,37842160,46905746,37028582,36833873,36833874,46716507,37842557,29275820,29275822,37842564,46905764,37842229,29275522,21951825,15861182,15861181,21951823,29275514,29275698,21951980,21951981,21952044,18534339,18534340,25077427,21951763,15861138,10993457,10993458,15861143,15861253,10993523,7277478,7277479,10993489,7277458,7277457,10993486,15861195,15861322,10993561,7277509,7277510,10993481,10993479,15861176,21951815,21952012,21117170,15170776,10463061,6896976,4329428,4329427,6896971,10463052,15170763,21117146,28327183,21952091,21952090,21951987,21951989,29275709,37842253,36822770,28327171,28327170,36822763,28327166,25077420,18777437,13372839,9139833,9139834,13372842,18777441,21951779,21951778,29275463,21951930,15861257,15861258,21951830,15861190,15861188,21951839,20136103,20136104,21952035,29275759,29275494,29275493,37842198,46705522,36822738,28327137,255380861,10463039,10463038,15170740,21117108,28327127,36822723,46705505,47764865,47765008,49932183,39913968,31238560,29275635,29275634,31238556,31238555,28327167,21951784,21951783,29275465,21951821,21951820,29275509,37842213,47764906,37842371,29275645,21951921,21951920,29275642,37842367,47765035,37842471,37842472,42041514,42041513,257780731,70795078,58077700,46705517,46705516,47764936,47764935,58077701,258026069,59163939,258102605,71902180,71902179,59164047,59164048,71901955,59163827,47764925,257492635,71901953,85487003,71902189,71902190,85487224,98261076,98261075,85487088,71902033,71902032,85487086,99428621,113430630,107681100,93272958,79154581,79154580,257382682,64576283,77758890,86714395,86714394,99428542,99428613,99428626,85487128,85487129,99428670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164460, s2 = 16275704, dlinesl.size( ) = 2 s1 = 14164460, s2 = 16275704, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14164460, Dl.E( ) = 32, 2.22e-05 seconds used appending s1 = 3693614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3693614, s2 = 6799213, int(edited[s2]) = 0 s1 = 3693614, s2 = 6799213, d1 = 1, d2 = 19 Dl.O(d1) = 127894093,127894094,141254784,263478926 Dl.O(d2) = 258649018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3693614, s2 = 6799213, dlinesl.size( ) = 26 s1 = 8332300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8332300, s2 = 14165369, int(edited[s2]) = 0 s1 = 8332300, s2 = 14165369, d1 = 21, d2 = 14 Dl.O(d1) = 259188679,257938021,55845480,68280004,258573575,56272673,45239624,35699247,27485829,27485833,27847720,36251715,35513018,27511477,20504190,14710259,12233730,8260496,8260499,12233748,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,814045,461391,260323,144484,144479,260342,461599,814658,1432499,2478990,4145994,6621459,10081725,14657696,20425039,27378674,35540690,45015698,55982685,45040325,45040326,46143313,46143312,57443061,56564556,257959507,62893510,62893508,257871220,81376910,75830537,75830535,89612656,103727187,112296555,98313916,260502327,139531630,152263033,260963086 Dl.O(d2) = 35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,39759116,49777734,49777735,59408435,59408432,63121579,58563272,47174371,37268444,37268446,40951546,40436020,31741879,24232194,17858709,15860136,15860135,21950449,21950452,29039500,29039499,37587045,41227861,37560153,29013775,29013773,32403659,41227833,37840095,29273741,29273743,37840105,47475765,48503104,40367919,31673323,29533588,22190566,21281997,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741900,40435033,37560634,29014170,29014173,37560641,37560672,31742113,24232348,17858798,12647002,8586948,5579749,5579745,8586932,12646973,17858750,24232289,31742039,40436215,39759097,39759095,47480261,39784667,31105511,31105509,31746890,39215045,38892655,30306805,22907528,22205804,22205805,16250485,16250483,21749760,21749763,29042419,37546539,37556889,29010686,21731981,15684255,15684257,21731991,24232226,22906566,22906568,30305732,29001053,21715743,21715740,21726564,21726561,29014190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8332300, s2 = 14165369, dlinesl.size( ) = 2 s1 = 8332300, s2 = 14165369, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8332300, Dl.E( ) = 22, 2.19e-05 seconds used appending s1 = 9355226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4262682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4262682, s2 = 7850401, int(edited[s2]) = 0 s1 = 4262682, s2 = 7850401, d1 = 30, d2 = 33 Dl.O(d1) = 164156421 Dl.O(d2) = 22961126,22961128,30362434,38948497,48868233,40540623,31842395,24322777,17935327,254716602,31842391,30362372,30362371,254716604,14349104,9859041,9859042,14349105,20032144,26916516,34997952,34997953,38948468,38948467,48868203,255011986,34997948,44376238,38948464,30362413,22961111,16725179,16725181,22961116,30362419,31684141,24175760,17807767,12606604,8555698,5552713,3437241,2033348,2033351,3437265,5552798,5552586,5552585,8555465,7730002,7730003,11558272,11558271,16577548,17807109,22794985,16578333,16407093,12606376,12606375,17807518,24175479,20022011,14340286,9851930,7732345,5966745,3731187,2233824,1713896,1713895,2955750,4903905,7688959,4865605,2931903,2901544,2901543,1702004,967522,967518,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,2232986,3729647,5964343,6260356,254366795,1713710,1713711,2955422,4903426,7329476,7482754,7482753,4891692,267896191,254799901,7733786,7748122,11557163,7690736,4866817,2932652,2932653,4866819,7690742,7603149,7603148,11435124,16419106,22597833,255307596,11609062,7741860,7741859,6260426,6260425,3919284,2898376,1681708,956445,956447,1681713,2898387,4805649,2896331,1680703,955984,955983,254125413,301939,167199,92029,92028,167193,301922,538576,955247,1679221,1679205,1679204,2893419,1682085,956584,955711,955710,1679190,2893387,2932573,4866664,4809025,2898266,2898265,4809021,7601876,11433741,11444378,16412885,11428691,7597440,4805898,4805899,6542581,4809686,2898690,1681867,956498,956496,1681858,2898675,4629900,2789203,1699723,1685742,1685741,2906110,4806300,5965023,5965024,9116775,9853800,6472691,254314361,2427938,4056257,6472687,9853792,14342662,20024812,26908426,256737233,55218478,67562083,72996879,68140415,68079097,68079098,81568952,79264629,65902448,65902447,79264627,81031231,87648547,74045395,61265637,49786585,39766807,39766808,49786588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4262682, s2 = 7850401, dlinesl.size( ) = 2 s1 = 4262682, s2 = 7850401, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4262682, Dl.E( ) = 52, 2.22e-05 seconds used appending s1 = 9711753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4075045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4075173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4075383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6991850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10153197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9522029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9522029, s2 = 10202978, int(edited[s2]) = 0 s1 = 9522029, s2 = 10202978, d1 = 27, d2 = 21 Dl.O(d1) = 112351109,98368791,84459497,259285963,260507273,126211217,261637755 Dl.O(d2) = 57828771,57828770,70530397,70530400,57828773,46472680,36606450,28132639,28132634,20954834,20954835,20954838,28132638,254713772,11512335,7658243,4845551,2919970,254362537,7658242,11512333,7658432,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,2473943,2473912,2473911,4135723,4135675,4135677,6601510,10045719,14599375,14933851,20832324,27996515,32855744,38479355,29919692,22560747,16381706,11401084,7575647,4791428,2888177,254358975,4791432,7575650,11401088,16381710,18470090,18470089,23207256,23207254,29986085,22618767,22618765,23207196,23207340,16936392,11853416,11853415,16936382,23207211,16936304,11853364,11853362,16936301,23207206,29294809,21968013,15874224,11003031,7283724,268338726,21968004,255969375,39228539,39228005,39228006,39228176,30630300,30630301,257015147,39228068,39228069,39511596,39511597,39228348,30630436,30630437,39228092,30630237,30630239,30630602,23207621,23207347,23207348,30630280,30630339,23207386,16936425,16936424,23207384,30630336,39228217,39228332,30903583,23469191,23469190,30903580,39511611,257388727,49154809,49442898,39511593,30903568,23469181,17188695,17188696,255988917,39511594,49442899,60844698,60844699,61828338,60844697,52448642,50344863,50344864,49154412,49154413,49024666,49024667,60428287,73175208,86788013,100769195,114821550,111700644,97778824,95137868,95137869,100886782,86906692,73296599,73296601,81075605,81075604,257313234,60333899,48936084,48936083,46351299,38829623,38829624,46351313,46351314,57700489,70394439,81079907,67612505,55271667,255927026,35049623,44424381,55271670,67612507,73175231,73175214,60428291,49024674,39095792,268421311,23086468,255960013,23086448,16833215,16833213,23086451,30499945,30499955,257005095,60428271,60428331,49024715,49024716,256850592,39095810,39095828,30499982,23086474,23086473,30499980,39095823,43896789,43896852,39095747,39095746,49024612,54639849,54639841,43896791,43896792,49024626,43896797,34624794,26635273,19823519,14199992,14199993,14199995,14199994,19823524,26635278,26635315,26635314,34624866,43896853,54639884,64324141,258504961,65952191,53885396,53885395,64324193,66897301,60428292,60428293,270110825,54639836,52457195,52457196,42105173,34624800,26635275,19823521,254963965,6417993,6417994,9761360,14199997,19823527,26635281,34624814,34624784,34624785,34624842,34624843,43896836,54639874,269173543,43896831,54639870,269501755,42105133,42105134,42105179,33151309,25410706,25410707,33151311,256723659,34624832,33151273,33151272,42105129,52457201,42105187,33151314,33151313,42105172,33151299,25410693,25410694,25410699,25410702,25410704,33151308,26635311,19823543,19823544,26635313,34624860,26635309,19823542,268329977,34624857,34624817,33151279,25410677,25410678,33151281,42105143,52457209,64324157,74805897,62009114,50517253,257686115,66897315,66897314,80325218,88438640,74805962,62009198,257785085,52457259,64324182,52457235,42105165,42105164,52457232,269988999,77488020,91418711,259542811,74805899,62009118,50517257,50517256,43896842,43896841,54639876,66897329,74805963,74805965,88438641,102440625,258917895,62009131,50517271,40481872,40481871,50517230,50517236,50517237,50517225,40481837,40481838,269414081,74805867,88438559,88438578,74805886,62009104,62009103,62009188,258295113,50517305,50517306,62009186,50517342,50517265,50517266,62009126,50517295,40481890,268450605,24274033,31787150,40481889,50517292,62009166,72924730,86522970,88438633,88438634,97685259,83827736,83827737,74805941,62009169,62009170,74805943,88438619,102440612,116537653,116537685,116537680,102440653,88438630,74805953,74805952,259542817,74805954,74805926,74805925,88438599,260157169,88438574,74805880,62009099,62009100,74805885,88438575,102440619,102440661,88438644,74805969,74805970,257612310,114504982,259467112,97685258,102440639,100481268,100481269,102440645,102440647,98682625,98682626,86522969,72924728,72924727,60185442,48788886,48788885,60185441,72924735,86522977,100481294,270862807,72924741,72924743,86522985,77488052,64324205,52457256,257785083,72924725,60185431,60185432,58465091,47086940,47086939,58465089,58465099,47086947,47086938,47086937,58465086,71187032,258180041,60185417,72924706,258842692,98682594,98682595,98682619,84755548,84755549,72924716,60185423,60185424,72924718,259427611,260644355,139902449,126539335,112676836,112676837,259467114,84755519,71187005,257571451,48788880,58465097,47086945,37191259,28669482,28669483,37191262,30281252,22883672,22883671,30281250,38866801,48788871,60185409,60185408,71187018,84755526,84755525,72924702,72924701,86472066,72924724,60185428,48788877,48788876,60185426,60376403,60376402,71187013,71187014,71187006,71187007,259306817,258295109,50517281,50517279,62009144,72876447,60139669,58465054,47086904,39057190,37191248,37191247,47086924,58465076,71187026,79316328,79316327,259306819,58465068,58465069,58465060,58465061,58465073,48979657,256403524,30466906,39057188,269363539,73116441,258055799,47086889,37191229,28669464,21422735,21422734,26908066,26908065,34988824,44366915,269634883,81030755,71186983,58465042,47086897,37191232,37191231,257445115,71186979,79316318,257862695,43361254,43361255,53885404,65952199,79316326,93447432,98682606,84755533,84755532,260359013,98682580,84755494,71186966,258055805,47086900,257445119,270292263,98682585,89491171,89491172,103586338,258956531,75727421,89491152,75727416,62778243,62778244,75727418,81030762,67561603,67561604,75727408,89491160,81030780,75727430,62778252,258331049,75727412,62778241,51141720,40994699,40994700,51141723,62778246,75727420,89491173,95088969,95088968,103586334,103586325,258956525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9522029, s2 = 10202978, dlinesl.size( ) = 2 s1 = 9522029, s2 = 10202978, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9522029, Dl.E( ) = 36, 2.19e-05 seconds used appending s1 = 8462310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8624383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10187269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6875377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6875377, s2 = 11242906, int(edited[s2]) = 0 s1 = 6875377, s2 = 11242906, d1 = 29, d2 = 52 Dl.O(d1) = 259516820 Dl.O(d2) = 260880628,105907444,259042587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6875377, s2 = 11242906, dlinesl.size( ) = 2 s1 = 6875377, s2 = 11242906, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6875377, Dl.E( ) = 90, 2.91e-05 seconds used appending s1 = 8694514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10255310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10255310, s2 = 10247410, int(edited[s2]) = 0 s1 = 10255310, s2 = 10247410, d1 = 107, d2 = 92 Dl.O(d1) = 126321014,112455013,112455014,126321016,139695795,152421562,164296355,164296452,261643431,261643433,152421599,139695873,261643427,164296413,164296454,152421680,139695925,126321135,112455115,98464978,84542849,70979427,258665253,58263665,258040909,259911139,126321133,139695850,152421616,164296396,175098220,262647325,152421620,139695857,139695858,152421624,262647327,263490491,200233530,264462975,215412238,264723053,206298994,200233531,193051786,263090223,164296410,152421635,139695869,260512981,98464956,84542828,70979414,58263661,258040907,46896727,37018071,37018070,257431039,70979436,84542862,98464996,112455133,261091637,261643425,126321066,112455053,98464944,84542818,258040905,46896713,46896714,46896716,37018065,37018066,257431035,70979418,84542833,98464965,112455080,126321104,139695888,152421655,164296426,175098242,164296447,152421670,139695907,126321118,112455095,112455092,126321115,139695901,262163221,139695911,139695910,152421672,263090215,164296372,152421593,139695817,126321045,112455035,112455033,126321041,139695813,152421575,152421574,164296360,175098192,184682922,193051769,200233517,206298985,200233537,193051800,184682966,175098249,175098248,184682943,175098216,175098217,175098257,175098256,184682971,175098262,164296441,152421666,152421668,164296444,164296348,262647307,184682914,175098267,262163225,139695927,126321139,126321138,112455119,112455118,126321141,126321006,261091629,262163199,152421608,139695842,261643423,262163197,139695784,126321001,259911123,259911125,84542798,259911127,126321010,126321028,112455028,98464926,98464924,98464951,112455064,260512989,112455131,126321155,139695939,152421572,261091631,112455023,98464946,84542819,84542820,98464947,112455056,126321052,126321053,139695831,262163205,175098208,273977288,175098236,164296416,262647315,262163203,175098198,184682926,184682970,184682907,175098179,164296341,152421553,139695780,139695779,126321124,126321125,260512985,260512975,112455008,112455011,126321008,139695792,152421560,164296351,175098188,273526995,206298982,211313979,215412232,215412230,211313976,206298980,200233515,263490487,262647309,152421559,262163201,152421614,262647321,184682946,264173743,265169295,224115499,274458529,265696223,265362017,215412247,274182560,193051792,263090227,164296422,164296420,175098238,184682960,193051790,264173749,211313991,264723051,273849317,264462898,262163213,139695856,126321083,112455068,98464953,98464952,112455065,126321081,139695853,152421618,164296399,175098221,184682950,273526997,175098269,175098268,274087096,206299000,211313995,215412236,273977313,200233528,193051783,184682983,175098276,164296460,152421684,139695930,271767023,260512987,112455126,112455125,126321149,126321131,112455109,98464976,84542844,70979424,70979425,259291997,112455019,98464919,258665251,58263649,258040901,84542803,98464921,112455021,126321020,139695799,262647311,263490489,184682961,175098241,164296423,152421656,152421655,164296426,175098242,164296447,152421670,139695907,126321118,112455095,112455092,126321115,139695901,262163221,139695911,139695910,152421672,263090215,164296372,152421593,139695817,126321045,112455035,112455033,126321041,139695813,152421575,152421574,164296360,175098192,184682922,193051769,200233517,206298985,200233537,193051800,184682966,175098249,175098248,184682943,175098216,175098217,175098257,164296437,152421663,152421664,164296439,175098259,262647305,139695783,126321000,272177609,139695781,152421555,164296343,175098181,184682909,184682913,175098184,164296384,164296385,175098214,175098215,262163209,139695843,139695875,139695838,260512977,98464938,98464937,112455045,126321057,260512979,112455047,126321060,139695841,262163207,175098213,175098200,164296368,152421589,152421590,164296370,175098202,184682930,184682965,175098247,164296427,261643429,126321107,112455083,259291995,84542835,98464967,112455090,126321112,126320996,112455003,98464906,98464905,112455000,98464926,84542805,70979403,270287057,271299613,126321030,139695801,139695846,139695845,262163211,175098219,272831163,152421675,164296345,261643413,126321005,126321004,126321152,112455129,98464990,98464991,271767027,139695810,126321039,259911129,84542806,258040903,58263654,70979405,259291991,112455037,126321046,272527469,263090217,175098272,175098274,184682981,193051802,200233539,206299001,211313999,211313983,206298990,200233524,193051776,184682938,175098210,164296430,164296432,175098252,184682907,175098179,164296341,152421553,139695780,139695779,126321124,112455099,98464972,84542840,84542839,259911137,126321119,139695913,144606940,131383857,117583525,103453191,89357942,75596825,62654627,51028561,40891068,40891069,51028562,258323895,259576273,117583528,261358617,139695893,139695892,262186538,103453188,117583524,131383855,261897239,262865393,263665873,168451900,157005059,157005058,168451898,175098272,175098274,184682981,193051802,264173751,211313997,215412252,215412244,211313989,264173747,193051787,263090225,152421642,262163219,152421659,139695895,139695896,262163223,262163227,139695935,126321147,112455121,98464986,84542856,258040913,258040911,84542853,98464983,260512987,112455126,112455125,126321149,126321131,112455109,98464976,84542844,70979424,70979425,259291997,112455019,98464919,258665251,70979400,258040899,258040897,84542800,98464917,112455016,126321017,139695797,152421568,164296358,152421636,139695871,260512983,112455074,126321090,262163215,175098228,264173745,193051770,273849315,262647313,152421578,139695802,139695803,272831159,164296365,152421581,139695806,139695807,152421584,262647335,139695884,126321100,261091633,152421649,139695895,139695896,126321127,112455102,112455103,112455120,126321144,259911141,84542860,70979434,58263671,58263670,258665255,98464988,112455125,126321149,126321131,112455109,98464976,84542844,70979424,70979425,259291997,112455019,259911131,98464933,112455039,126321050,139695827,126321096,126321097,126321093,126321094,139695877,152421639,152421564,152421566,152421631,139695866,139695864,261643419,126321034,112455030,270804419,58263653,46896710,37018061,37018062,46896712,58263656,70979407,259291993,271767019 Dl.O(d2) = 262647317,264462973,263850623,263090213,261643417,139695804,272831159,164296365,152421581,139695806,139695807,152421584,262647335,139695884,126321100,259911135,259939618,258323893,84542854,84542853,98464983,260512987,112455126,112455125,261091635,261643415,126321015,126321016,139695795,152421562,164296355,164296452,261643431,139695921,152421676,152421643,139695881,126321098,112455078,98464963,84542830,70979416,58263663,258040907,46896727,37018071,28519973,21298989,255028651,6984976,6984951,4388999,254224583,1518311,1517816,1517814,2628803,2628804,4387955,6982992,4387818,2628657,1517676,860448,860449,1517665,1517664,2628637,4387786,4388351,4385999,2627450,1516895,860009,485515,485516,860011,860965,267763859,860330,860329,1517474,2626721,1518050,860673,860674,1518052,1518061,2628513,1517539,860365,860366,859808,485413,273052,273051,485407,859797,1516510,2626833,1516651,1516649,859964,485494,273094,273093,485489,485679,860373,1517529,1517531,2628506,4386123,4386122,4387778,2629171,1518067,1518066,2627445,2628557,2628556,2626709,1516438,1516439,2626711,2626725,2626724,4384872,2626648,1518453,860937,267763857,2629747,2627442,2627441,4385990,6980480,255394009,15319816,10581250,6980315,4385848,2627339,2627338,4385844,2629690,2629691,4389133,6980091,6979139,6979140,6979268,6980139,6978950,4384840,4384841,4385786,2627294,2627292,4384833,6978946,6979338,4385092,4385095,4386133,4386132,6980203,4385763,2627281,2627280,4385759,5597204,3473730,3473731,4385553,6979882,10580036,10585656,10585654,15318008,10579922,6979286,4385057,4385056,6979281,4385816,4385814,6980273,6980342,6980306,4385840,4385841,6980308,10581243,15319814,17899858,17899857,24280384,31794223,36997894,36997893,40200815,46876361,36997857,36997856,37012167,37012168,28927368,28927367,31514375,31514374,37468023,46748743,46748744,46876048,36997414,36869349,28521662,28521660,36998653,46876981,58243816,58243428,46876330,46876331,50831783,40727680,31980620,24426955,18014764,18014766,24426958,30894246,39501567,47374849,37468016,37468017,36998637,28501261,21283139,15319805,15319806,21283143,24280390,24280389,31794231,40489233,37012094,28513080,21292400,21292401,28513083,36998181,36998180,28927415,28927413,21650865,21650833,15616953,15616954,21650836,28927372,28501254,28501253,36998627,46876969,46876985,257418818,36869446,36869444,37012137,46891200,54615275,66872960,75311722,62413690,50831856,40727813,40727814,36869411,28372606,28372607,31980699,24427022,24427021,31980720,40727808,40727762,31980723,31980722,40727811,42212143,42212144,52572895,46876580,36998164,28500777,26615610,19806920,14187574,9753029,6412702,6412701,9753026,14187569,19806910,26615600,34602976,43873036,54615260,43873048,43873047,46876582,52572908,42212154,33250049,33250050,42212156,34120454,26255418,19537116,19537117,26255421,34120468,43207692,53719655,49720531,49720532,46876628,46876629,40727639,31980591,24426935,18014752,18014755,24426939,31980597,40727647,50302820,40282551,31598236,31598221,31598220,24094525,24094524,23590990,17279142,12158667,12158665,17279136,19537094,19537093,23631480,255999783,28514032,28514033,34120541,34120539,43207783,46659392,43207941,34120678,26255578,26255577,34120672,43207931,44602025,43207449,34120237,34120238,43207453,255893266,21214165,21214167,28439530,36722332,36722331,46609757,46610171,36722512,28228791,28228792,36722515,28814088,21545901,21545900,28814087,37352927,28814140,28814141,28228387,28228386,28519321,28519320,28519315,21298462,15330865,10588450,10588448,15330859,21298454,21545913,254768276,21031732,21031737,28228503,36721569,36721551,28227936,28227935,22166696,22166697,26034049,28227755,28227756,28521853,21300685,15332540,10589619,10589618,9392118,9392119,13712662,19200264,25857303,31535652,31535653,40221760,37019832,28521860,28521861,37019835,46898118,58264684,46898596,37020627,37020183,28522240,28522241,37020187,46898299,58264765,46898395,37020224,28522277,21300950,21300952,28522284,37020235,46898170,46898189,58264704,58264713,46898198,46898187,46898185,37020252,28522295,23992021,17647489,12474967,12474966,17647486,19200266,25857307,19200272,19200271,25857323,33663352,28501550,21283337,21283336,28501542,30774233,23350647,17083280,17083281,23350653,28522267,21300946,15332691,10589687,10589686,15332685,21300930,28522121,37020074,46898306,42694044,42694043,53144549,46898407,37020253,37020114,29941047,29941046,37020303,37020302,37020273,37020272,257429671,37020740,28522873,28522874,37020742,37020056,37020057,46898293,38277854,38277853,48187099,46898537,37932375,29365967,29365966,37932374,47852302,38829850,38829851,31658024,31658025,37020278,28522332,21300986,21300987,28501339,21283191,15319839,15319840,21283194,21301102,21301101,28522522,37020478,37020863,28523011,268205601,10589859,10589858,255394933,28522841,21301348,21300595,18559671,18559672,15933839,15933838,22035395,29365983,37932360,36998688,28501327,21283185,21283184,15332797,10589741,10589740,15332791,21301136,28522568,22578004,22578005,29941044,28522925,28522924,37020776,35306589,28522085,28522086,37020044,41740052,32819218,25115371,18564724,13192273,13192272,18564720,13331710,13331711,17432628,17570783,23913524,17918459,12695355,8624660,8624664,11556350,11442987,11442988,267796642,16645199,22872405,22578691,16395924,11622225,11622224,11612868,11612869,11620419,9118818,5966592,3731089,2233770,1295378,739343,739342,1295375,2233763,2948490,2948491,4892687,2950138,2950137,4894066,4894064,7730976,10349559,10349558,7586407,4905766,2956768,1714451,974131,548406,548409,974140,1714477,2956787,4905792,7746960,11430843,11430844,11620864,11620860,16653470,12838394,8730338,8730339 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165784, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4267732, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4080848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165599, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9531856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4081358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2067068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10181384, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7708749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4270637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4270637, s2 = 4861110, int(edited[s2]) = 0 s1 = 4270637, s2 = 4861110, d1 = 1, d2 = 15 Dl.O(d1) = 164401969 Dl.O(d2) = 193119764,200291810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4270637, s2 = 4861110, dlinesl.size( ) = 2 s1 = 4270637, s2 = 4861110, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4270637, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6943052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6993645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6993645, s2 = 7007517, int(edited[s2]) = 0 s1 = 6993645, s2 = 7007517, d1 = 9, d2 = 10 Dl.O(d1) = 261102957 Dl.O(d2) = 261262402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6993645, s2 = 7007517, dlinesl.size( ) = 14 s1 = 6993668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6993668, s2 = 5556364, int(edited[s2]) = 0 s1 = 6993668, s2 = 5556364, d1 = 12, d2 = 18 Dl.O(d1) = 261103271 Dl.O(d2) = 229767320,229767325,228143001,226292000,224166047,221714496,265541421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6993668, s2 = 5556364, dlinesl.size( ) = 2 s1 = 6993668, s2 = 5556364, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6993668, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 14165596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165596, s2 = 12254703, int(edited[s2]) = 0 s1 = 14165596, s2 = 12254703, d1 = 101, d2 = 22 Dl.O(d1) = 127735243,141088498,152261462,152261461,153757889,141088497,127735242,113862187,99844492,99844491,113862185,127682395,113814904,113814905,127682397,127682387,113814899,99801344,85849261,85849262,99801345,99801380,260595951,141030033,141030038,153695693,165474282,176152798,262865086,184569648,185613941,185613940,193870118,193870107,185613926,262399612,153695664,153695694,165474284,262714125,153695651,141029994,127682390,127682391,141029998,153407353,140725104,140725105,262216607,127682392,141030003,141030029,153695684,144603443,144603444,157001202,168447871,175333410,164570682,164570681,175333408,175333394,164570671,263106343,193226267,185613923,185613924,176152792,165474276,261391598,262399583,168447887,168447886,178753785,184885171,262865082,152735462,152735464,164570679,175333403,184885175,262865064,200996754,193927464,193927463,195342111,187858256,187858257,193870114,188611055,188611056,193927468,195798657,193870124,185613953,185613952,185613934,176152790,175333406,175333407,184885178,185613922,187858221,262399608,261896888,144603501,131380559,131380561,144603507,262399581,178753848,185406076,185676264,178753931,168448056,157001393,144603604,144603605,157001396,168448050,157001387,157001386,168447932,157001420,144603625 Dl.O(d2) = 77550647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165596, s2 = 12254703, dlinesl.size( ) = 18 s1 = 11660096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660096, s2 = 4930132, int(edited[s2]) = 0 s1 = 11660096, s2 = 4930132, d1 = 1, d2 = 1 Dl.O(d1) = 1544556,2667348,4440887,7054503,10679529,15446547,21442103,28693103,37218118,47115361,58493644,71215481,84784569,98712609,112708179,126571998,139935598,152641711,164492316,175268009,184830334,193179583,200345515,273979811,264288724,212710861,207932838,202135317,195237281,187167296,272263706,155771071,143219624,129890343,115993095,101949405,87977364,74375636,61599498,50119929,40099498,31419499,23929363,23929362,31419498,40099496,37442381,37442380,40085440,40085441,37029233,37029232,46906498,40098859,40085455,31405057,23928853,17587059,17587058,22603620,29968654,27112756,20211507,20211506,17570913,17570916,23913672,31405029,40085424,40099590,50120006,41739494,32818672,25114905,18564337,18564338,23215717,23215720,30638911,39236983,32818627,32818626,28531114,28531115,37029251,41739272,32818451,25114757,25114758,18564254,13191898,8992957,5871295,3666018,3666019,5871298,8992963,13191909,18564273,25114781,32818484,32818706,41739530,52054114,63872943,76983677,90861643,105040178,119232388,133062330,146289936,158658221,170016602,180182886,189124833,196868981,203496309,209045942,263978324,220437133,223075467,225351405,227328738,229056816,230582259,231941477,233167067,234275387,235282622,234796472,266221217 Dl.O(d2) = 1544556,2667348,4440887,7054503,10679529,15446547,21442103,28693103,37218118,47115361,58493644,71215481,84784569,98712609,112708179,126571998,139935598,152641711,164492316,175268009,184830334,193179583,200345515,273979811,264288724,212710861,207932838,202135317,195237281,187167296,272263706,155771071,143219624,129890343,115993095,101949405,87977364,74375636,61599498,50119929,40099498,31419499,23929363,23929362,31419498,40099496,37442381,37442380,40085440,40085441,37029233,37029232,46906498,40098859,40085455,31405057,23928853,17587059,17587058,22603620,29968654,27112756,20211507,20211506,17570913,17570916,23913672,31405029,40085424,40099590,50120006,41739494,32818672,25114905,18564337,18564338,23215717,23215720,30638911,39236983,32818627,32818626,28531114,28531115,37029251,41739272,32818451,25114757,25114758,18564254,13191898,8992957,5871295,3666018,3666019,5871298,8992963,13191909,18564273,25114781,32818484,32818706,41739530,52054114,63872943,76983677,90861643,105040178,119232388,133062330,146289936,158658221,170016602,180182886,189124833,196868981,203496309,209045942,263978324,220437133,223075467,225351405,227328738,229056816,230582259,231941477,233167067,234275387,235282622,234796472,266221217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660096, s2 = 4930132, dlinesl.size( ) = 2 s1 = 11660096, s2 = 4930132, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11660096, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 4086622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7041289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8445586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4087202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4087202, s2 = 6824981, int(edited[s2]) = 0 s1 = 4087202, s2 = 6824981, d1 = 9, d2 = 24 Dl.O(d1) = 152677618 Dl.O(d2) = 258896382,36957569,256028838,10540623,6951449,6951450,6422497,4029083,2414297,1397463,795190,450640,450639,795187,1397457,2414287,2414266,1397449,1397448,2414262,4029018,4366071,2616176,2616175,2616189,2616190,4366102,6948146,10535392,10535395,6953525,4369129,2617691,1511383,1511382,2617683,2458783,2458782,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,9243352,6053877,3788312,3788308,6053857,6941402,6941403,10525000,12433327,8402946,5422311,3333304,3333301,5422321,8402973,12433358,10541544,6952076,6952078,10534074,10541982,6952379,6952378,10541976,12060840,12060839,13525551,9256631,6062412,6062411,6065880,3795268,2273312,1318301,1318303,2269373,2269374,2271844,1317551,1317550,254654277,255672321,256653475,38217637,34657804,26665993,19850588,19850589,23839802,23839803,268995641,74282998,271078092,269887155,24242516,17866600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4087202, s2 = 6824981, dlinesl.size( ) = 16 s1 = 13235915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6994362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6994362, s2 = 10354984, int(edited[s2]) = 0 s1 = 6994362, s2 = 10354984, d1 = 9, d2 = 14 Dl.O(d1) = 261111751 Dl.O(d2) = 259499844,98914646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6994362, s2 = 10354984, dlinesl.size( ) = 14 s1 = 4274884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10202881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10202881, s2 = 8573046, int(edited[s2]) = 0 s1 = 10202881, s2 = 8573046, d1 = 25, d2 = 14 Dl.O(d1) = 261611483,140003390,126648568,260168450,84869763,71295565,58563546,47174664,47174663,58563541,258686885,98798103,261662773,260765738,112790382,126648562,140003386,152700198,164540490,152700166,262180861,175306838,263861771,184861414,175306853,164540508,152700183,140003369,126648549,112790374,98798100,98798101,84869763,84869764,260534289,140003346,262180859,164540481,262180846,261662775,140003381,262663097,263273444,262381964,140003379,126648555,126648554,140003378,140003365,126648546,260168446,84869756,84869757,98798101,84869763,71295565,58563546,47174664,47174663,58563541,71295563,84869759,98798106,112790361,112790360,112790362,112790366,112790365,126648539,261662769,262663087,273531045,200366344,200366354,193204841,184861426,263273444,262381964,262663095,263273436,152700179,140003366,126648547,260168446,84869756,84869757,98798101,84869763,84869764,259933077,126648567,140003388,152700151,140003342,126648523,112790354,112790352,126648521,272533835,164540470,262180846,126648527,112790356,112790355,126648525,272201459,261144677,153286319,165099764,164540487,164540488,263104591,193204812,184861386,175306821,164540465,263104589,175306824,175306823,273103186,140003343,140003344,152700156,262663081,165099767,153286321,153286322,165099769,175306820,273531038,263104587,175306812,184861380,262850260,164540511,164540487,164540488,263104591,193204812,184861386,184861385,263502708,164540500,164540499 Dl.O(d2) = 271888822,112790379,126648558,140003383,152700195,262663091,164540504,262663070,84869746,259313661,112790359,126648531,260168446,84869756,84869757,98798101,84869763,84869764,259933077,126648567,140003388,152700151,140003342,126648523,112790354,112790352,126648520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10202881, s2 = 8573046, dlinesl.size( ) = 2 s1 = 10202881, s2 = 8573046, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10202881, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 4273266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4275897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4276027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7969974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7969974, s2 = 14165269, int(edited[s2]) = 0 s1 = 7969974, s2 = 14165269, d1 = 12, d2 = 7 Dl.O(d1) = 20202349,27102092,35191002,44569112,36600436,36600437,46467233,44516473,35139811,35139810,44516471,55362680,62993086,75975679,89754559,103858312,91413358,91413359,85803704,72209384,59471677,48081017,38168168,29601145,22251364,16113129,11192426,7426352,4692833,2827623,1640593,932900,932902,1640598,2827632,4692848,7426382,7382862,7382863,7094793,4466960,4466959,7094792,10738326,15526701,15891311,15366689,10617402,10617401,12035226,12035227,10738320,10738321,11016501,11016500,8090901,8090903,7423315,4690966,2826555,1639947,1639946,2826551,2734250,2734249,4548509,7219080,10915574,15761330,20231034,14517432,9989396,9989395,14517431,16908802,16909281,16909280,255850306,39189294,49117647,52308542,64159784,59793407,53217388,42767601,33737665,33737664,42767600,33782874,33782875,32317191,24702984,18232516,18232517,24702985,18915236,18915235,25524487,33284641,30713801,28125980,28125979,36599584,38273265,38273264,31446878,30357664,30357665,38943849,39312165,39280500,39280499,38943855,30357672,23266685,23266687,30683593,39280498,49206836,52221435,269401708,256530840,39312079,30714159,30714158,32954923,256623553,52221460,63407228,51663994,51663995,52221234,41889965,41889964,47000421,41890317,32955015,25235146,18666071,13274219,13274220,18666073,25235150,32955022,41890328,50152986,59926524,59322079,47929890,47929891,59322083,72056521,59322064,47929867,47929866,41035533,32243283,24645282,18188887,18188888,24645287,24645329,18188905,18188906,256074177,41035620,41035546,32243293,24645291,24645293,32243297,41035550,38015804,29453566,22119525,22119524,29453563,38015798,47929950,59322040,51191966,51191965,61633005,50150557,40129059,31449322,31449324,38015863,32243303,32243304,40129175,32243278,32243277,41035530,41889946,41035854,32243545,24645457,24645458,29453446,22119449,16005961,11112094,11112095,16005966,22119459,29453464,29453488,29453489,38015706,29453695,22119592,22119593,29453597,22119546,16006022,16006023,22119551,25194392,18632704,13247213,13247212,18632700,25194385,29453916,255236830,22119621,16006067,16006068,22119630,22085064,16006060,11112155,7369978,4655889,2804891,2804890,4655885,7369967,11112130,16006017,22119535,29453582,31449237,31449236,31449714,38015861,29453643,29453628,22119745,22119744,29453615,25194434,18632726,13247218,13247217,18632719,25194425,29453541,22119509,22119508,29453536,29453925,32954569,29415335,22085007,15978791,15978789,22085001,29415327,29453792,22119675,16006098,16006097,22119634,16006121,16006119,15477048,15477049,11112224,7370012,4655908,2804903,1627161,1627160,2804897,4655902,7370002,11112200,16006151,22119758,23957108,17609866,17609865,23957106,29453808,29453807,38016052,40128819,40128822,32905791,25194409,18632710,18632709,25194404,32905783,38015756,29453530,29453532,38015764,41889903,41889904,37978320,29415322,22084997,22084996,29415317,37978310,38016032,29453783,29453782,38016026,29453852,22119704,22119705,23956481,17609389,16006177,16006176,22119797,22119659,16006089,11112172,11112170,11112183,11112191,16006130,22119732,29453857,29453858,31449721,31449720,32905803,31575077,31449110,23956589,23956586,23959860,23959861,31453385,32905765,38016135,47930230,59322357,72056740,72027626,72027625,71273473,71273472,61441544,49963305,49963304,52221465,63974146,52149572,41890264,41890265,52149570,61763000,61763001,74546724,85643698,85643697,72056646,72056645,84847291,72056744,59322364,59322363,59322337,47930211,38016114,38016113,47930209,59322333,49963297,49963296,61441535,74221388,74546663,88161607,74546673,64062841,64062840,268442828,50150290,40128801,40128803,47930100,47930099,59322259,59322298,59322299,61762971,61762969,64062879,52221511,52221512,64062882,61762901,50283247,40262239,40262240,40262230,40262228,50283234,57806596,63971842,52147707,41829496,41829497,52147704,63971839,77090616,90979438,105170049,108751277,108751285,94458286,94458285,108751284,259707012,149983990,160192639,147944117,134824382,121026409,106772593,106772592,92466891,78430665,78430664,65148725,53164344,42714575,33684488,33684487,42714573,53164340,62833978,51183913,41027414,254285830,24637431,254881382,75798110,256055226,117850521,131678661,272949231 Dl.O(d2) = 268992108,47233818,37325018,28788786,21649364,15615986,10804697,10804698,255417243,28925219,37465024,47370552,47376729,46530381,46530382,46530347,37469885,28928853,28928834,255554028,40080437,40080436,50101088,61439741,49961827,39945079,39945080,49961824,39945078,38861284,30276702,22879603,22879604,27062876,27062877,35148737,255949868,18133821,18133820,14419139,9917596,9917595,8648332,8648333,6224778,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204747,8665600,12750196,15871443,21965616,26147665,25351368,18770005,13366436,9135033,5977891,3738287,3738288,5977895,9135035,13366440,9552042,6267643,6267644,9552046,6268298,3924658,2349557,1361096,1361097,2349561,3924665,6268315,9553035,13915508,19446095,24347786,20106857,14417008,11004572,7284850,4594051,2763821,2763822,4594052,4593338,2763428,1601909,1601907,2763411,4593291,7283633,10636569,10636572,11005272,15876366,14205306,14205305,10627107,7014281,7014282,10627102,11003728,7284236,4593773,4593771,4593788,2763680,2763679,2238323,1298017,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306821,3850167,6153401,9392760,6154080,6154079,6153901,6153900,9393460,13714312,19202149,20106905,255216582,12716648,12716649,15382792,10630425,10630426,15382794,255032414,37216913,256320036,71214001,256859946,256859944,84783018,258049074,98711209,84783015,84783014,258673444,84783020,71214002,58492240,58492241,257438700,98711216,112706970,259919516,152640788,261650994,164491441,152640787,139934598,126570905,126570906,126570908,126570909,116420316,116420317,116420319,102327663,88331797,88331796,102327660,116420317,116420319,259471864,116420316,116420317,116420319,102327663,88331797,88331796,102327661,116420318,112706967,98711212,98711213,98711220,84783023,84783022,98711219,112706958,98711206,98711207,112706959,112706972,112706971,126570909,116420316,116420317,270289474,98711219,112706958,98711206,98711207,112706960,98711220,98711214,84783020,71214002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7969974, s2 = 14165269, dlinesl.size( ) = 8 s1 = 8644486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4156694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3409881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8397621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8397621, s2 = 7709077, int(edited[s2]) = 0 s1 = 8397621, s2 = 7709077, d1 = 93, d2 = 81 Dl.O(d1) = 258693195,98902085,98952226,261120725 Dl.O(d2) = 273335153 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7676478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7107219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7107219, s2 = 3887943, int(edited[s2]) = 0 s1 = 7107219, s2 = 3887943, d1 = 50, d2 = 26 Dl.O(d1) = 262670848 Dl.O(d2) = 140153504 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8642936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4448705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8515990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8515990, s2 = 11328242, int(edited[s2]) = 0 s1 = 8515990, s2 = 11328242, d1 = 65, d2 = 62 Dl.O(d1) = 103258943,261350761,152864045 Dl.O(d2) = 154618516,141976509,260653691,100673621,86700415,86700407,86700408,75996409,63012922,51332017,41146679,41146678,32331582,24715516,18242559,12940123,8803318,5734423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8515990, s2 = 11328242, dlinesl.size( ) = 36 s1 = 10233527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3889270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7676540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10228375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10228375, s2 = 7566739, int(edited[s2]) = 0 s1 = 10228375, s2 = 7566739, d1 = 98, d2 = 72 Dl.O(d1) = 99013340,113002101 Dl.O(d2) = 268104741 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10346251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4281194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8673053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7061175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8543652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4281885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7081061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8582716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8488580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8488580, s2 = 8645360, int(edited[s2]) = 0 s1 = 8488580, s2 = 8645360, d1 = 44, d2 = 42 Dl.O(d1) = 263187273,272229487,72901836,258178373,60165126,72901838,86498276,100456703,258081848,257472074,58844817,71571714,257471428,257471426,40890598,268927582,71571686,71571712,71571711,258081846,48770908,60165123,58844790,268620924,37551917,29006291,21720340,21720339,29006289,37551914,47459434,255856082,46650860,255422106,70737765,58108320,46738156,257418017,70823675,84381591,259898401,126131128,139505810 Dl.O(d2) = 152261036,139529195,126153578,126153579,139529197,260615950,258148230,46761423,256416372,15210633,21168297,28386544,36882996,46761428 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14978107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7677398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6715541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6715541, s2 = 11525518, int(edited[s2]) = 0 s1 = 6715541, s2 = 11525518, d1 = 19, d2 = 35 Dl.O(d1) = 257644876 Dl.O(d2) = 263236415,264811849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715541, s2 = 11525518, dlinesl.size( ) = 30 s1 = 8767138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9164840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9164840, s2 = 14802247, int(edited[s2]) = 0 s1 = 9164840, s2 = 14802247, d1 = 1, d2 = 1 Dl.O(d1) = 255165334,71653833,256508646,113132674,126990961,140345331,153043212,164881048,175637423,185173288,262330466,200620682,206634838,211603198,215664870,219023822,264277694,224294254,226405667,228244303,265240062,265426762,265892522,234033452,234033451,235067962,236009100,236864886,236661984,235788156,234828510,266224879,231338184,229909980,229909981 Dl.O(d2) = 255165334,71653833,256508646,113132674,126990961,140345331,153043212,164881048,175637423,185173288,262330466,200620682,206634838,211603198,215664870,219023822,264277694,224294254,226405667,228244303,265240062,265426762,265892522,234033452,234033451,235067962,236009100,236864886,236661984,235788156,234828510,266224879,231338184,229909980,229909981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9164840, s2 = 14802247, dlinesl.size( ) = 2 s1 = 9164840, s2 = 14802247, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9164840, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13973029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3894345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4098690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8549570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8071632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8071632, s2 = 6434555, int(edited[s2]) = 0 s1 = 8071632, s2 = 6434555, d1 = 53, d2 = 33 Dl.O(d1) = 153209290,153209291,165028203,165028205,175760299,258091652 Dl.O(d2) = 254342438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8071632, s2 = 6434555, dlinesl.size( ) = 30 s1 = 4285686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659648, s2 = 4285998, int(edited[s2]) = 0 s1 = 11659648, s2 = 4285998, d1 = 6, d2 = 6 Dl.O(d1) = 85384098,85384097,99328175,113330797,113330798,127189563,140535675,153217503,165035998 Dl.O(d2) = 85384098,85384097,99328175,113330797,113330798,127189563,140535675,153217503,165035998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659648, s2 = 4285998, dlinesl.size( ) = 2 s1 = 11659648, s2 = 4285998, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659648, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 4100601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4101359, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7054178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8296162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8296162, s2 = 10355433, int(edited[s2]) = 0 s1 = 8296162, s2 = 10355433, d1 = 10, d2 = 8 Dl.O(d1) = 259351558,126899451,140246592,256912588,113076215,126929801,140277756,152967807,164797017,175544961,185077864,175847943,165125700,153314410 Dl.O(d2) = 263131649,273712515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8296162, s2 = 10355433, dlinesl.size( ) = 14 s1 = 6858143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9067279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8204242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8383485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8383485, s2 = 3049999, int(edited[s2]) = 0 s1 = 8383485, s2 = 3049999, d1 = 34, d2 = 43 Dl.O(d1) = 122022048,107647575,107647576,107647558,93244760,93244761,107647561,113485991 Dl.O(d2) = 135949587,271609087,93244780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8383485, s2 = 3049999, dlinesl.size( ) = 2 s1 = 8383485, s2 = 3049999, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8383485, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 4290540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9383339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662596, s2 = 11419582, int(edited[s2]) = 0 s1 = 9662596, s2 = 11419582, d1 = 32, d2 = 29 Dl.O(d1) = 215982281,265371214,201134643,194084126,185855387 Dl.O(d2) = 128146942,133582244,133582245,141203268,127842433,113963904,113963905,119707621,105468150,105468151,105468156,260261625,260595222,159212846,170550747,180681886,189579600,197268885,203828631,209305179,211560074,206575858,263873829,185076951,175544123,164796258,152967183,140277136,126929190,113075580,99087440,85165011,71599665,58879158,268928533,29047406,256353327,257474615,58879160,71599667,85165013,99087442,113075582,126929191,140277137,152967184,152245957,139514452,126139645,112280448,98298830,84390236,70833197,58118627,46750056 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6998144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8495873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13700889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13700889, s2 = 14373475, int(edited[s2]) = 0 s1 = 13700889, s2 = 14373475, d1 = 50, d2 = 72 Dl.O(d1) = 140751977,127396163,113526119,113526120,127396164 Dl.O(d2) = 141512663,154176758,165936464,154176752,154176753,154176754,154176755,165936466,176583289,186005553,194219947,194219952,194219953,201256402,201256401,273997001,207179226,264615104,217315996,213583769,274139825,273919412,263700848,196844867,196844866,189095290,180145937,169971555,263700843,262909238,173532752,162496003,263026573,191900563,191900564,189095292,189095291,196844869,203474961,209026655,210664939,210664936,210664935,264615106,218346150,214878862,214878863,264623772,214914295,210703894,205549566,199317875,191952414,183390519,173596731,173596730,162566972,150438971,137399599,123668504,109476584,95222572,95222573,109476586,123668505,123668501,123668502,137399595,128932285,115029404,270880654,115029408,100973472,86987691,73375075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13700889, s2 = 14373475, dlinesl.size( ) = 2 s1 = 13700889, s2 = 14373475, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13700889, Dl.E( ) = 96, 3.19e-05 seconds used appending s1 = 4106086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4106086, s2 = 11660665, int(edited[s2]) = 0 s1 = 4106086, s2 = 11660665, d1 = 1, d2 = 14 Dl.O(d1) = 153437522 Dl.O(d2) = 201113753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4106086, s2 = 11660665, dlinesl.size( ) = 2 s1 = 4106086, s2 = 11660665, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4106086, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 13281543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13281543, s2 = 14271291, int(edited[s2]) = 0 s1 = 13281543, s2 = 14271291, d1 = 18, d2 = 26 Dl.O(d1) = 7798297,11692508,12317224,12317225,8319833,8319832,12317276,17470901,17470776,12317190,8319787,5368580,3300481,2940663,1705266,1705267,2940666,4880493,7711680,11585749,11692626,11692625,16735901,22832006,16610920,16610919,21503994,23804389,23860886,17517234,12352733,8345806,5386703,3312410,3312409,5386698,8345791,12352707,17517199,268205374,17656389,17656388,22829042,16607950,11583232,7709911,7709910,11583228,11955311,17041938,23302214,22831606,255941133,16609797,22830989,30223105,30222964,22830828,16609609,11584535,11584536,11955257,17041860,23302124,30719431,39317738,48727291,48727136,38806441,38806440,37976415,29413073,22082699,22082700,29413076,22110550,15998651,11106810,7366487,7366488,11106812,15998655,11584558,11584557,16607989,16607480,11582782,11582783,16253362,16253363,16610179,11585035,11585034,11585529,11585528,16610725,22831414,22115702,16610281,16608046,11583331,7709978,4879401,2940069,1704933,1704932,2940064,4879393,4880312,4879372,4879371,7709929,11583252,11583931,11583932,255076774,22082539,16607407,16607405,16607417,16607416,16606830,11582234,7709225,7709226,7710355,7710357,11582693,7709554,4879148,4879147,4655041,2804344,2804345,4655046,7355514,7363591,7355493,7355491,7355437,4646364,4646366,7355444,7355456,11090854,11136558,16003844,22082376,15976637,15976639,16608738,11583820,7710301,7710303,11583828,15976825,268083218,47894157,256385298,85614797,99565135,113581658,259365926,153499044,165294722,153499053,259984264 Dl.O(d2) = 263536850,200825266,200825267,262704636,262704638,206810164,200825269,193734065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10210282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9715108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9715108, s2 = 3905478, int(edited[s2]) = 0 s1 = 9715108, s2 = 3905478, d1 = 1, d2 = 1 Dl.O(d1) = 9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,254498286,18037747,18769346,18769345,19202539,19202538,255066077,11002852,15874033,21967900,29294731,37864030,47788540,59188682,71928303,85515926,99461730,113471817,127341125,140696919,153378391,165182598,175892398,185384249,193667439,200768811,206760964,206821812,200839625,193751048,185484603,176011477,165317125,153523239,140844276,127485708,113611518,99596291,85646236,72058947,59324431,47932446,38018576,29456579,22122586,255448752,4656803,4656801,7371520,11114333,16008740,18743019,268400194,11561050,9144633,5984191,3741902,2240095,1299021,1299022,2240097,2949054,1710279,972063,972062,1709350,971649,971650,1709358,1193174,671212,671213,1193176,971708,547268,306473,169597,93365,93366,169602,306483,547293,971748,1709602,2947838,2892955,2892954,4799617,7587965,4898215,4898217,4907380,4907379,3730958,254203311,739317,739318,1295330,2233694,3730965,5966404,6866445,6866444,7598896,11430194,16414257,11615825,10416198,6866482,6866480 Dl.O(d2) = 9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,254498286,18037747,18769346,18769345,19202539,19202538,255066077,11002852,15874033,21967900,29294731,37864030,47788540,59188682,71928303,85515926,99461730,113471817,127341125,140696919,153378391,165182598,175892398,185384249,193667439,200768811,206760964,206821812,200839625,193751048,185484603,176011477,165317125,153523239,140844276,127485708,113611518,99596291,85646236,72058947,59324431,47932446,38018576,29456579,22122586,255448752,4656803,4656801,7371520,11114333,16008740,18743019,268400194,11561050,9144633,5984191,3741902,2240095,1299021,1299022,2240097,2949054,1710279,972063,972062,1709350,971649,971650,1709358,1193174,671212,671213,1193176,971708,547268,306473,169597,93365,93366,169602,306483,547293,971748,1709602,2947838,2892955,2892954,4799617,7587965,4898215,4898217,4907380,4907379,3730958,254203311,739317,739318,1295330,2233694,3730965,5966404,6866445,6866444,7598896,11430194,16414257,11615825,10416198,6866482,6866480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9715108, s2 = 3905478, dlinesl.size( ) = 2 s1 = 9715108, s2 = 3905478, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9715108, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13699303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660186, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4294518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8505909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13686089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9720237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6999036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8709820, s2 = 2367600, int(edited[s2]) = 0 s1 = 8709820, s2 = 2367600, d1 = 10, d2 = 0 Dl.O(d1) = 193790351 Dl.O(d2) = 64257539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8709820, s2 = 2367600, dlinesl.size( ) = 16 s1 = 8817920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8817920, s2 = 13590328, int(edited[s2]) = 0 s1 = 8817920, s2 = 13590328, d1 = 75, d2 = 60 Dl.O(d1) = 264150351,210968967,215137756,218571153,219174154,215836321,211800621,206860718,200882143,193798944,185539120,176075220 Dl.O(d2) = 203359502,264339155,213505852,216056012,273955420,263786214,263011368,261533532,165940166,165940167,176586639,165940168,154180797,141517340,128159096,128159097,259759708,114274895,100243572,86279077,256720512,38633506,30059782,22682854,255107463,7639208,7639209,11485429,16484342,255743698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8817920, s2 = 13590328, dlinesl.size( ) = 32 s1 = 1431331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1431331, s2 = 11431018, int(edited[s2]) = 0 s1 = 1431331, s2 = 11431018, d1 = 47, d2 = 52 Dl.O(d1) = 37039676,46917450,57682633,57682632,70374682,72173346,61239009,49759980,39741298,39741299,49759982,61239011,72173332,59434855,49966736,49966735,261166073 Dl.O(d2) = 262565968,206755879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1431331, s2 = 11431018, dlinesl.size( ) = 40 s1 = 8675696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15195565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13568825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7171679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8449245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8675994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8675994, s2 = 1985559, int(edited[s2]) = 0 s1 = 8675994, s2 = 1985559, d1 = 60, d2 = 57 Dl.O(d1) = 263544167,176141883,263150327,262712959,165462059 Dl.O(d2) = 256176417,30173010,35207139,35207138,34033804,34033805,43103354,48768212,53597616,53597615,53599261,65639781,78987171,258509955,270970114,43962225,268691205,24254622,17877038,12660504,8596209,5585521,5585522,8596210,12660505,17877040,24254626,20912426,20896785,20896784,24763562,24763563,32383992,41204310,51397148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8675994, s2 = 1985559, dlinesl.size( ) = 8 s1 = 14973775, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7095388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7095388, s2 = 8728101, int(edited[s2]) = 0 s1 = 7095388, s2 = 8728101, d1 = 13, d2 = 21 Dl.O(d1) = 262495294,48289174,38378500,29806667,29806668,25413675,25413674,28210804,21017496,15095273,10411077,268065647,14191110,19811907,26622145,34611021,38378532,38378533,32993162,25269068,25269067,25413663,29648988,261171891 Dl.O(d2) = 206914522,264759607,215876991,264759611,206914523,200943272,274099371,274107852,215876992,211847214,206914523,264759609,265563459,266118137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7095388, s2 = 8728101, dlinesl.size( ) = 2 s1 = 7095388, s2 = 8728101, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7095388, Dl.E( ) = 26, 5.96e-06 seconds used appending s1 = 4114664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4114664, s2 = 6925364, int(edited[s2]) = 0 s1 = 4114664, s2 = 6925364, d1 = 99, d2 = 68 Dl.O(d1) = 153706900,165487164,176167098,185628937,193884066,200959501,206927179,211857483,215885958,211857485,206927180,206927179,211857483,215885959,219218241,219218245,265390593,226542478,226542477,224445036,224445034,222030491,219218242,219218243,222030493,222030495,222030494,224445032,226542473,265865303,274597395,232674310 Dl.O(d2) = 260155250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4114664, s2 = 6925364, dlinesl.size( ) = 2 s1 = 4114664, s2 = 6925364, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4114664, Dl.E( ) = 100, 3.19e-05 seconds used appending s1 = 4114846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6820442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6820442, s2 = 2622074, int(edited[s2]) = 0 s1 = 6820442, s2 = 2622074, d1 = 54, d2 = 3 Dl.O(d1) = 258848698,153713712 Dl.O(d2) = 74145413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6820442, s2 = 2622074, dlinesl.size( ) = 38 s1 = 7000033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9255214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4115485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4115485, s2 = 15374031, int(edited[s2]) = 0 s1 = 4115485, s2 = 15374031, d1 = 25, d2 = 59 Dl.O(d1) = 153735542 Dl.O(d2) = 19590562,14036319,9650584,6345366,3981072,2385843,2385845,3981075,6345373,9650597,14036338,19590583,16856965,16856963,20196581,23392994,17121226,12031811,12031810,12028512,9691369,9691370,14090229,16572966,17116569,12028368,12028369,17116574,15604180,10795257,10795256,15604176,21635964,21482069,21482070,267895526,13531507,15478682,10703806,10703805,10703770,10703772,15478630,21482014,22202436,22202435,28725145,21468482,21468483,28725146,30170380,25609438,18996693,13556735,12032194,8088951,8088948,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569708,1010799,254251589,255136399,23180336,30599061,268399390,255448751,257503073,72028797,259980081,127461046,140821350,153502493,273543428,193751042,185484595,262678546,153523223,140844254,127485683,261159173,153523225,262702877,165317111,165317112,176011465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4115485, s2 = 15374031, dlinesl.size( ) = 2 s1 = 4115485, s2 = 15374031, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4115485, Dl.E( ) = 60, 1.6e-05 seconds used appending s1 = 3441815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7722467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7003440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7003440, s2 = 11185770, int(edited[s2]) = 0 s1 = 7003440, s2 = 11185770, d1 = 32, d2 = 47 Dl.O(d1) = 261214677 Dl.O(d2) = 100863208,100863209,114913626,128810780,142165411,154799433,261239628,114913624,100863208,258824528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003440, s2 = 11185770, dlinesl.size( ) = 8 s1 = 7000402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7000402, s2 = 7410075, int(edited[s2]) = 0 s1 = 7000402, s2 = 7410075, d1 = 15, d2 = 25 Dl.O(d1) = 261179113 Dl.O(d2) = 265421798,265565451,228385026,229987604,228385045,226559901,265722325,229987575,229987576,229987582,228385025,226559888,224464727,222052730,219243883,215916626,215916625,219243880,222052721,224464714,226559873,228385008,229987590,231409106,232683205,231409096,265747092,228384992,265998145,232683202,231409128,229987616,229987617,229987597,229987598,231409116,231409130,229987621,228385050,226559906,224464742,222052748,222052749,224464745,226559908,228384995,226559864,224464707,224464708,226559867,228384998,229987576,229987582,228385025,226559888,224464727,222052730,222052729,224464723,226559882,228385018,226559907,226559908,228385016,229987598,231409116,231409130,229987621,265998149,231409126,231409082,266119583,233834569,266369418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7000402, s2 = 7410075, dlinesl.size( ) = 2 s1 = 7000402, s2 = 7410075, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7000402, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 7077390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7077390, s2 = 11130008, int(edited[s2]) = 0 s1 = 7077390, s2 = 11130008, d1 = 30, d2 = 32 Dl.O(d1) = 262245392 Dl.O(d2) = 270352991,258889855,257658563,256528817,23940102,255181013,1958540,1958539,3330185,5417239,8394588,256502309,31094204,30801155,257609079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7077390, s2 = 11130008, dlinesl.size( ) = 38 s1 = 4301418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3690590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4117865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4118134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280380, s2 = 1377692, int(edited[s2]) = 0 s1 = 7280380, s2 = 1377692, d1 = 38, d2 = 7 Dl.O(d1) = 264922808,263027902 Dl.O(d2) = 35081029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8540717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8540717, s2 = 13508564, int(edited[s2]) = 0 s1 = 8540717, s2 = 13508564, d1 = 0, d2 = 13 Dl.O(d1) = 127869961 Dl.O(d2) = 153900628,165676616,176344055,185788014,192753500,184338329,174722382,163912363,152049391,139343487,271760959,98192279,84296137,70744526,58030442,58030441,70744525,70744528,84296139,98192281,98192277,84296136,84296135,70744522,58030439,58030440,70744524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8540717, s2 = 13508564, dlinesl.size( ) = 2 s1 = 8540717, s2 = 13508564, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8540717, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10244041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9514352, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9707207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9707207, s2 = 4120933, int(edited[s2]) = 0 s1 = 9707207, s2 = 4120933, d1 = 0, d2 = 0 Dl.O(d1) = 11729442,7830774,4970639,4970641,4970656,4970669,4970503,4970501,6095739,4970455,3002185,1743531,990714,557238,311577,311579,557245,990733,1743568,3002234,4970549,7830606,11729179,9053728,5918471,3700166,2215913,2215914,3700172,5918488,9053751,13268578,18659961,25228204,23015416,16775508,11728894,7830426,7830423,7830522,11728924,16775558,19682059,19682060,16776135,11729288,7830662,7830663,4970617,4970616,7830727,4970649,4970650,7830783,11729459,11729005,7830552,7830398,4970434,3002171,1743522,1743521,3002165,4970427,7830383,11728829,12505554,12505555,17682968,16775910,16775911,12505542,12505541,17682941,23015937,16775890,16775889,23015934,30421109,32947030,32947031,30420296,30420293,23015272,16775391,16775390,23015268,16775739,16775740,18659860,16775931,16775932,23015981,30421143,25228073,25228074,24034203,24034204,30420859,39010166,30421955,23016624,23015840,16775823,11729103,11729104,11728928,11728930,11728810,7830373,7830375,11728815,16775383,12505559,8471422,5475869,5475868,8471416,12505549,17682956,23015686,16775678,16775677,23015681,30420207,33426544,30420328,23015289,16775399,16775398,23015286,30420301,30420300,25228094,18659872,13268519,13268518,18659869,23015976,30421132,39010464,41880914,39010476,30421137,30421136,39010471,39011149,30421706,30421707,30420977,23015837,23015835,23015508,23015509,30420588,30420271,23015252,23015251,24034176,23015257,23015258,24034227,31536845,39009489,39009484,31536839,24034215,17682961,17682962,24034223,23015207,16775334,16775335,23015209,30420164,23015170,23015171,23015278,30420314,30421711,27141564,27141563,25228085,18659865,18659864,25228082,32946946,32946952,39009366,40223120,40223121,39009551,30420267,23015246,23015248,30420269,30420273,31536829,30420972,30420973,39009128,39009127,40223103,31536808,24034181,17682921,12505529,8471408,8471409,12505534,17682931,24034195,31536799,39009098,30419868,23014948,16775153,16775152,16775338,11728772,7830342,7830341,11728768,16775306,11728754,11728755,16775309,23015178,27141559,20233654,20233655,27141572,35237400,44619626,39009428,39009427,48932894,60330680,59605533,48218755,39009587,38308952,29740549,22381887,22381889,29740554,30419952,39009198,39009369,30420090,23015095,23015096,23015040,16775265,16775266,17682915,24034168,24034184,31536814,31536819,39009109,30419878,23014955,16775157,11728671,11728672,16775162,11728777,7830346,7830344,7830334,4970405,4970406,7830336,11728759,16775312,23015185,30420183,35237397,35237396,39009085,39009055,30419828,23015118,23015119,16775281,16775280,23015126,30420122,39009395,38308950,38308947,256757546,23015160,16775295,11728746,11728748,16775297,23015161,30420153,39009129,257580047,39009372,39009376,39009064,39009065,30419943,23014998,16775198,11728691,11728692,16775201,16775217,23015026,29866109,29866108,38428283,39009381,39009132,30419895,23014965,16775178,11728680,11728678,16775146,11728662,7830283,7830284,254807593,4970399,4970398,7830319,11728728,16775259,23015100,30420096,30420120,30419835,23014926,16775170,16775169,16775135,16775134,23014915,30419813,23015019,16775212,16775211,23015016,30419969,39009219,39009060,39009061,39009187,30419940,23015152,23015150,30420139,39009411,48932875,258187997,270346372,255127453,7830313,7830314,270073852,30420072,39009343,48932546,60330417,48932712,48932713,60330557,48932686,39009329,30420059,23015079,16775245,16775244,23015074,30420056,30420062,30420063,39009333,48932806,48932728,39009250,30419994,30419996,30420081,30420035,23015063,16775240,16775241,23015067,30420043,39009304,48932783,60330511,48932637,43418949,43418950,43418953,43418933,34317653,26438854,19699445,14124580,9717431,9717432,14124584,19699454,26438874,34317689,43418967,53945502,60330574,48932715,39009226,39009228,39009383,39009168,30419928,23014988,16775190,11728687,11728688,16775194,16775321,23015195,30420144,23015156,256455523,48932876,48932885,48933858,48933859,53945487,43418939,43418938,53945484,48933798,39010346,30421010,30421009,39010343,48933790,258104491,60330753,48932953,48932954,47784070,268628679,29290991,268936133,48932949,39009461,39009460,48932946,60330747,72055646,59321111,59321110,61722062,61722061,59183517,47784016,39011392,39011393,37859949,37859950,47784021,47784026,59183536,59183553,60332710,48934875,39011402,30421926,30421925,39011399,48934869,48932667,39009170,39009172,48932669,60330532,59183593,47784085,37860007,29291001,21964112,15870209,10999483,7281242,7281241,10999480,15870206,21964108,29290997,37860002,39011131,39011130,47928784,38014572,29452413,29452414,38014578,47928790,59321114,71921853,59183510,47784010,47784011,59183514,59183524,71921858,59183530,59183532,48933792,48933793,60331647,59183546,47895162,37977792,37977791,47895158,59290755,72027200,60330607,48932761,257580059,73071142,258811169,60330471,60330472,59321108,59321107,62150603,62150604,59290750,59290751,71986412,85573536,73071173,73071172,71921900,59183609,59183610,71921904,75427620,62508693,60330476,48932595,39009081,30419845,30419844,39009077,48932591,60330470,73071052,86675874,75427547,75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34341 Dl.O(d2) = 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34341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9707207, s2 = 4120933, dlinesl.size( ) = 2 s1 = 9707207, s2 = 4120933, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9707207, Dl.E( ) = 2, 1.81e-05 seconds used appending s1 = 8037553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8037553, s2 = 8037431, int(edited[s2]) = 0 s1 = 8037553, s2 = 8037431, d1 = 58, d2 = 42 Dl.O(d1) = 3127375,3104383,1813903,1813904,1053966,1053965 Dl.O(d2) = 8162282,12131850,11791043,11791042,16858390,23117966,23558686,30021871,22649037,16457789,11466995,7627383,7627385,7537611,7537610,11342277,16301023,255161110,255407886,16672844,11637626,7753135,7753134,5022622,3040232,3040236,2614674,2614673,4363000,6942272,6820435,6820434,10356335,11122455,255450813,12255066,8276517,8276516,10590799,254852510,12061195,12061196,17152885,12056354,8105997,5195327,3169946,1856000,1856002,3170226,5195912,8110083,6909320,6909319,8374607,8374608,12392391,8383125,5409769,3325585,3325584,5409766,8383122,9265079,8114496,8114495,10565983,6969045,6969046,10565985,15301779,17149593,255178752,18960242,18960241,23905916,23917727,17575913,15489373,15489372,21495724,25548046,18935442,18935443,255747403,20140915,27033750,21261032,21261031,21261034,15310245,10573670,6974388,4381351,2623888,2623890,4381339,3789894,2270423,2270421,3786028,3320455,1953200,1953199,2623938,1514372,1514373,2623940,4381445,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1316071,751039,477666,477667,846059,1493717,2590749,254491683,10465343,12386605,8385152,5410989,5410990,8385157,12406782,14208977,19834643,255818654,12408969,8386737,5411949,3326794,3326793,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,8385428,5411119,5411124,8385441,12407255,15294429,12272547,8287425,5346266,5346265,8287422,12272543,17413932,18948466,13511717,13511716,268068406,21843062,17403995,17403996,17560460,15743683,15743680,21804460,17914380,17398579,12261110,8280341,8280340,12261105,17398575,255985258,23896720,23896722,24296805,268330250,28389382,21170536,21170537,15558941,254726458,10465078,6898189,4330246,4330249,6898203,10465102,12639784,12639300,8581616,5575947,5575945,8581605,12639284,17848045,256549965,50451633,49390564 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8644850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8644850, s2 = 8745019, int(edited[s2]) = 0 s1 = 8644850, s2 = 8745019, d1 = 65, d2 = 66 Dl.O(d1) = 178097266,264163466,206106894,201185479,194143109,194143107,194143116,194143115,194143114,185921151,176490534,165834388,154064338,154064339,141389812,141389813,154064343,271794568,185921155,194143119,262215578,165834392 Dl.O(d2) = 265152040,215122266,265152039,210950073,205844572,205844573,263460300,272160772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8644850, s2 = 8745019, dlinesl.size( ) = 14 s1 = 4306650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4306650, s2 = 1407784, int(edited[s2]) = 0 s1 = 4306650, s2 = 1407784, d1 = 19, d2 = 21 Dl.O(d1) = 165841204 Dl.O(d2) = 36599184,29456427,255480228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4306650, s2 = 1407784, dlinesl.size( ) = 14 s1 = 8133743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8631312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3922219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3922219, s2 = 7410796, int(edited[s2]) = 0 s1 = 3922219, s2 = 7410796, d1 = 37, d2 = 32 Dl.O(d1) = 141422461,154096060 Dl.O(d2) = 266376438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3922219, s2 = 7410796, dlinesl.size( ) = 2 s1 = 3922219, s2 = 7410796, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3922219, Dl.E( ) = 58, 1.69e-05 seconds used appending s1 = 8615553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4307782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4307782, s2 = 707494, int(edited[s2]) = 0 s1 = 4307782, s2 = 707494, d1 = 4, d2 = 1 Dl.O(d1) = 165875453 Dl.O(d2) = 18036324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4307782, s2 = 707494, dlinesl.size( ) = 22 s1 = 10152556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10152556, s2 = 11126770, int(edited[s2]) = 0 s1 = 10152556, s2 = 11126770, d1 = 67, d2 = 59 Dl.O(d1) = 42288609,33308552,25547014,18934370,13498885,13498886,18934373,14166403,14166404,19777708,254961829,6404277,4018038,4018039,6404284,9739178,14166314,17084900,11997344,8049948,5140512,3126601,1827735,1827737,3126607,5140524,8049970,11997381,17084971,23352500,30776304,39377801,40783541,32026996,24464965,18045415,12792189,12792187,18045411,15962773,255447553,29397936,29624771,29624770,38191464,41245021,47844734,37924758,34582370,29370912,22039987,22039991,15966878,15966879,22071907,29402349,34583011,29381693,22051526,22051524,29381697,33298951,42280325,259140195,269816242,116647947,271342484,141443215,130486772,130486773,143811254,154114090,165880579 Dl.O(d2) = 257583923,16669946,22900507,24899920,18397064,13067171,8904227,8904229,13067178,18397070,18405983,24899908,254493268,11265852,11265851,254722632,15448719,15448718,15448717,13420872,13420873,18836890,25431061,33173697,41229455,42467156,33473900,25700873,21041283,17948539,14118411,9713514,6390468,4010571,2403670,2403673,4010586,6390501,9713629,9491657,9491653,9713665,14118708,18147350,19862445,19862442,25429117,19108162,13643060,9342462,6119440,6119436,9342474,13643083,19108204,24638808,24905788,254886148,256063660,76444008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10152556, s2 = 11126770, dlinesl.size( ) = 44 s1 = 7002075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7002075, s2 = 7778788, int(edited[s2]) = 0 s1 = 7002075, s2 = 7778788, d1 = 52, d2 = 60 Dl.O(d1) = 261199955 Dl.O(d2) = 274815026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7002075, s2 = 7778788, dlinesl.size( ) = 16 s1 = 4308389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7002173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7002173, s2 = 504644, int(edited[s2]) = 0 s1 = 7002173, s2 = 504644, d1 = 62, d2 = 2 Dl.O(d1) = 261201069 Dl.O(d2) = 12837964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7002173, s2 = 504644, dlinesl.size( ) = 46 s1 = 6588884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9242754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9242754, s2 = 11189928, int(edited[s2]) = 0 s1 = 9242754, s2 = 11189928, d1 = 72, d2 = 69 Dl.O(d1) = 264783698,264247658,194220401,186006037,176583860,165937170,154177601 Dl.O(d2) = 24424648,24424649,31978377,40725464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9242754, s2 = 11189928, dlinesl.size( ) = 26 s1 = 4309689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4309689, s2 = 13281250, int(edited[s2]) = 0 s1 = 4309689, s2 = 13281250, d1 = 24, d2 = 34 Dl.O(d1) = 165938252 Dl.O(d2) = 255274148,10976525,7265206,7265207,10976527,255436917,29246181,30509664,256612405,33381091,25615311,19001518,19001517,25615308,33381088,42370168,39923948,31248387,23763987,23763988,23983125,17636933,12460682,8429469,8429468,12460680,17270469,17270467,23582914,31067149,39745283,40240928,50260368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4309689, s2 = 13281250, dlinesl.size( ) = 2 s1 = 4309689, s2 = 13281250, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4309689, Dl.E( ) = 44, 1.72e-05 seconds used appending s1 = 9543499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7668562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8270939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8270939, s2 = 7318496, int(edited[s2]) = 0 s1 = 8270939, s2 = 7318496, d1 = 27, d2 = 24 Dl.O(d1) = 257688591,31812547,31812548,31813800,40509787,31813764,24298288,24298287,31813761,40509782,50545502,60269224,50544042,50544041,50545523,62037441,74834059,88467230,88467267,74834109,62037492,257105471,31813796,31813795,40509834,50545560,50544034,40508385,40508386,31812556,31812555,40508394,50544048,62035837,74832324,84651240,74832352,62035864,62035865,74832354,258672686,47002297,37116435,28606806,28606807,37116436,31812561,24297233,17914692,255596649,31812564,40508410,50544077,40509807,40509806,50545534,62037458,258800266,51368995,51368996,63050053,71522152,58792666,58792667,58792670,58792669,71522156,85094231,88465531,85094266,85094267,77555248,64387071,64387070,77555246,86299748,261205403 Dl.O(d2) = 265361986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8270939, s2 = 7318496, dlinesl.size( ) = 26 s1 = 4310354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8577542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6933918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4127640, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10181621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10181621, s2 = 16189514, int(edited[s2]) = 0 s1 = 10181621, s2 = 16189514, d1 = 31, d2 = 44 Dl.O(d1) = 80366217,66940706,54684380,43941706,34667538,26674348,25303971,18728726,13332707,13332709,14235714,19869293,19876884,19863172,14230922,9782826,6431774,6431775,9782831,14230932,14225861,14225858,9785834,6433671,6433673,9785846,9781180,6430896,4034477,4034476,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948288,10705574,7072757,7072755,10705570,15481268,15032067,13307414,13307415,10322103,6791425,4257969,4257967,4721386,7471016,11254510,16190633,22338334,26700452,255231672,10035378,10035379,8861657,5776364,3599035,2146868,2146867,2146883,2146888,3599078,5776464,8861808,13015538,18335239,24828119,256550168,37649379 Dl.O(d2) = 143045718,260715589,115885342,115885341,106657292,106657293,120910117,129783667,143113662,143113653,129783653,260118883,87868377,270902369,115885336,260903709,143113657,129783660,129783657,129783656,134708675,134708676,147835222,143113658,261288471,115885351,115885338,101840707,87868381,74266309,258257637,50011258,256519511,23827138,255563195,12331512,8330337,5376410,5376411,8330342,12331523,13307160,9088601,6822424,4279893,4279892,6762347,9084004,9084005,13296745,12344643,12205232,12205231,13271465,9056316,5920874,3702318,3702317,5920867,6847576,4296673,2568799,2568797,4296681,6847592,10389868,12087060,8128231,8128233,8126230,8126231,5927715,3706542,2219821,2219823,3706566,5927819,4587532,4587534,7274379,10988971,9102691,9080762,9074364,5934276,3720830,3720829,5949892,9094640,10281852,6757724,4234665,2531869,1459017,825968,825969,1459021,2531878,4234682,6757750,5480405,3372409,1984464,1984463,3372404,5480396,5480410,8478295,5585680,3465405,3465404,5585672,8596403,8130082,5208779,3177876,1860227,1860228,254213508,254467558,12089613,254967712,23474946,30910801,39520141,49452382,60854078,73603796,87225947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10181621, s2 = 16189514, dlinesl.size( ) = 2 s1 = 10181621, s2 = 16189514, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10181621, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 9467194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9467194, s2 = 10187728, int(edited[s2]) = 0 s1 = 9467194, s2 = 10187728, d1 = 74, d2 = 81 Dl.O(d1) = 264237657,186040997,262610298,263569559,194251125,263056680,262610290,154222983 Dl.O(d2) = 263460194,165979782,154222991,141561717,262267817,273361925,263460188,176623118,165979777,165979778,176623119,263823168,263569557,264237655,264440514,201284016,201284017,207203397,207203398,263823172,186040986,186040985,194251152,201284015,264149044,186040983,186040982,194251145,201284008,207203385,207203386,201284009,201284010,207203389,212085470,273689104,176623143,165979789,165979790,176623112,165979773,154222980,154222979,165979771,154222997,141561721,141561720,154222995,165979786,176623135,165979792,272510780,128205297,114322083,100291506,86329173,72731467,59994085,256808542,38686197,37706915,29146786,24589515,24589516,32175881,40955210,51097468,52331809,61919605,50429775,40396434,40385623,40385622,41992179,40954779,32175410,24589114,21130431,21130433,28342670,36839408,33049033,25320650,18741945,18741946,25320655,33049038,41992432,49748144,39729131,31050306,23565928,23565932,28342687,31050325,31050326,39729161,39937582,39937580,33049082,25320689,18741966,17367403,17367402,17367434,12235713,8261889,8261888,12235707,17367423,23689509,18742060,18742059,25320831,268740149,21860974,15788571,12866342,8750014,5696868,3544629,3544630,5696870,8750016,12866346,18144267,24589271,32175599,26904615,21847114,255058105,10928633,255695363,9448937,9448939,6194704,6194705,9448956,11176015,16091289,21209398,15242848,10515576,10515577,15242852,19307698,13805356,9467108,6207508,3885323,2326497,1348569,1348568,2326491,3885310,6207487,9467073,10740064,10740065,255411677,268617331,47263218,58655122,71390226,73585979,60836384,60836386,63331576,63331575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9467194, s2 = 10187728, dlinesl.size( ) = 54 s1 = 8328666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8328666, s2 = 14287169, int(edited[s2]) = 0 s1 = 8328666, s2 = 14287169, d1 = 13, d2 = 8 Dl.O(d1) = 254830835,5208921,5208919,8130321,12089937,17193494,23475459,30911525,30911690,23475592,17193570,12089982,8130346,5208934,5208933,267991857,8980311,8980313,13173890,18540536,25084757,32782205,41698571,52010213,60855416,49453688,269850121,60855417,73605113,87227143,272025626,129234029,142604339,142604338,272402882,142604337,272891009,176625812,176625813,176625814,262412292,154226153,141565141,141565140,154226151,165982657,176625811,165982654,154226148,154226149,272949788,272225125,86333356,86333357,270004372,100854777,86873723,257215068,114905491,128802735,128802736,116012730,114905490,100854775,100854774,259049456,259676212,142157440,137494188,125472168,125472167,128802733,116012729,101966143,271395619,95324109,95324108,109579374,97751998,258621749,70370754,83895185,97751997,83895188,70370755,57679023,257997593,259247825,97751995,97751994,259866711,125472169,261601103,138799978,151500171,163382531,263056973,192376898,263460439,174233906,174233907,183902750,273689165,199673477,192376895,192376896,199673479,205845729,210951108,215123194,264938533,215123192,265152167,223927213,223927218,274332927,265346213,265346215,265682537,227940912,227940913,265963677,227940922,265963683,232349079,232349073,266201235,266306243,266087083,231040420,274624583,233532665,232349078,265963681,227940920,226072483,226072482,265682539,226072478,265829441,227940921,265522925,221449453,218558617,265152169,223927215,274454317,227940917,265522923,223927216,226072480,227940918,229582133,231040421,266201239,234608571,234608577,233532662,232349076,274624585,274688995,234608573,234608574,235588654,266573835,274819622,237296114,237296113,274717539,234608581,233532664,232349077,266201241,266403261,266617040,266403263,266573837,266681190,266531030,235279828,236197082,237032765,237032766,236197084,274702164,233163738,274648205,266465763,236197085,235279830,274671962,230578688,265891284,274603906,231938179,274522606,225346044,265631383,223069290,220429876,220429877,223069292 Dl.O(d2) = 24687930,32298924,41109266,51288922,62963952,75945094,89723824,89723815,259592005,117975154,261374125,262414983,159397633,147015705,133765778,133765779,147015707,147015708,147015709,133765783,119894685,119894679,105655450,271539787,119894680,129233830,115305852,260272195,91428843,259655145,91428841,91428840,105655452,119894682,115305854,101227628,87226885,269850117,258226669,64333064,258400703,64333060,73604842,60855145,60855130,49453455,49453454,52465332,42112732,33158230,25417250,18825797,13413003,13413004,18825800,25417253,33158235,37858136,37858138,47781938,59181144,71919383,85504720,99446324,105655455,114290004,114289996,100259771,259171812,86296924,100259746,98522974,84597924,84597923,271301029,101227622,101227621,258849517,60855399,49453672,49453671,59961143,48568862,48568863,48568867,55454426,49453679,49453680,44605753,44605754,55454420,59181154,47781943,47781942,59181150,71919390,85504711,85504725,99446332,100259821,86296999,72699216,59961198,48568904,48568905,59961201,59961171,48568887,38653055,30076366,30076365,30076382,38653059,256972389,59961178,72699188,86296966,100259786,114289986,114290018,114290019,114290038,128173225,140653501,153332967,141531243,260411434,100259800,86296977,72699198,59961184,59961186,72699200,86296982,86297006,72699225,59961209,48568909,38653077,255755152,16493319,11491442,11491444,16493324,22695624,30076388,38653086,48568920,59961227,72699250,86297034,100259836,100259837,114290048,128173232,114290045,100259832,86297011,72699229,269196352,48568912,59961212,72699230,86297015,95196737,81139890,257494188,258727994,86297003,86297004,86296989,257922498,256757156,30076370,22695607,22695609,30076373,38653071,48568902,59961195,72699213,86296994,100259816,95196741,81139896,67674046,67674048,257494190,86297023,72699239,59961219,48568915,48568913,256913962,55334691,44488818,35111773,27025413,27025414,35111777,44488821,55334700,67674039,67674040,81139884,95196727,109451286,115305955,101227747,87227013,73604988,60855273,60855274,60855269,60855270,73604985,87227010,87226965,87226964,85504707,71919368,71919367,85504704,85551573,71963994,71963995,85551577,99498439,113509908,259353124,101227750,87227019,73604992,60855275,60855276,73604996,81139859,67674021,55334680,44488810,35111768,27025410,27025411,35111770,255876198,44488819,55334693,67674042,81139886,95196729,109451290,101227716,87226970,87226971,73604984,60855268,60855267,73604980,87226968,73604929,73604930,73604933,71919372,71919373,85504710,85551580,71963997,59225843,47827878,47827879,59225845,71963999,60855288,49453581,49453582,49453580,39521158,39521157,49453577,60855283,73604998,81139858,67674017,67674015,55334677,48439123,48439122,55334683,55334682,67674023,81139863,95196703,257864088,94329546,80272830,80272831,73604948,73604939,60855233,49453549,39521136,30911569,23475493,23475491,30911565,39521134,49453545,59950816,59950815,72689264,85551584,71964002,59225848,47827881,37906143,255879321,255067953,255067951,22005937,255879319,255067953,254346603,1607148,914292,914293,1607149,2771262,4604931,2775718,1610185,916135,254099435,160538,160540,160534,160535,290044,516919,603450,254122947,517101,916491,254233297,916308,916307,1610514,2776250,3210558,3210559,5253865,8184239,12153774,15916854,11051447,7326888,5250663,3208040,3208041,5250665,4621616,4621617,7319956,4622248,4622249,7320852,7823925,8183367,8182360,5252130,4627082,3209644,3209642,4624478,4624456,4624458,7323369,5237196,254261725,1067495,599979,334255,334254,599973,1067485,1871385,3196934,5237147,5285225,5285227,8214645,5304257,5304259,8184184,8184185,10993828,8218248,8218247,12188027,12193688,254834469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8328666, s2 = 14287169, dlinesl.size( ) = 2 s1 = 8328666, s2 = 14287169, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8328666, Dl.E( ) = 14, 1.12e-05 seconds used appending s1 = 4128212, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4311889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7002842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7002842, s2 = 10273298, int(edited[s2]) = 0 s1 = 7002842, s2 = 10273298, d1 = 88, d2 = 167 Dl.O(d1) = 261209165 Dl.O(d2) = 265362341,226250785,224120124,224120125,226250786,265434627,265044087,207931238,207931237,211317746,211317744,215416132,216615472,216615473,219853164,221663664,221663666,221663701,221663704,221663712,218803140,215416152,211317759,206302721,206302720,211317757,274182729,221663707,265169673,215416117,211317736,206302710,200237146,200237147,206302713,211317737,215416121,218803114,216615462,212709443,207931255,202133581,202133580,207931253,264818089,211317770,206302727,264461910,184687004,193055614,200237155,264463255,215416165,218803165,221663727,224120166,226250779,224120122,224120123,226250781,226969572,224931588,224931589,224120157,221663715,218803146,215416155,215416154,218803143,265362341,265841872,264957587,211317754,211317753,211317750,211317751,215416141,218803130,219853149,216615455,212709435,207931245,207931244,212709430,216615450,215416161,215416162,218803158,215416172,215416171,215416164,212709444,265044089,218803125,265537957,265537959,221663736,221663735,265434631,265975120,218803103,264957579,211317741,211317740,264957581,221663680,224120132,224931579,226969558,226250783,226250781,226969572,226969569,228105600,226250814,226250813,265842670,226250787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7002842, s2 = 10273298, dlinesl.size( ) = 104 s1 = 8455829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7113351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7113351, s2 = 11384752, int(edited[s2]) = 0 s1 = 7113351, s2 = 11384752, d1 = 148, d2 = 87 Dl.O(d1) = 262745410,166004141,154250907,141594300,141594299,262269597 Dl.O(d2) = 263179985,262804872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7113351, s2 = 11384752, dlinesl.size( ) = 100 s1 = 13777313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13777313, s2 = 15000635, int(edited[s2]) = 0 s1 = 13777313, s2 = 15000635, d1 = 12, d2 = 0 Dl.O(d1) = 186062511,186062513,194270365,201300952,264238987,194270363,186062512,176645956,166004582 Dl.O(d2) = 100341173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13777313, s2 = 15000635, dlinesl.size( ) = 2 s1 = 13777313, s2 = 15000635, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13777313, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 4312175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14688949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14688949, s2 = 8239718, int(edited[s2]) = 0 s1 = 14688949, s2 = 8239718, d1 = 12, d2 = 0 Dl.O(d1) = 150105474,162271718,166007755 Dl.O(d2) = 123607122,109413308,109413309,123607123,137340142,136226073,136226074,123607114,123607113,114381535,109047746,109047747,122256965,107847969,107847970,114381528,100358028,86401526,86401527,100358030,100358023,86401524,72805857,72805856,79296336,65933787,53867186,43342761,34243132,26366432,26366433,34243134,43342766,268178912,34243265,255433782,53867403,65934041,72046870,85634724,99585010,113600438,112109565,112109564,117550108,103420940,89327952,75570073,62630901,51007728,51007729,62630902,74628157,257182766,74628171,74628170,61835928,258283711,270914593,83837390,83837391,71842017,59103209,47705140,37784368,37784367,29466875,29466873,38029332,47943275,38029336,29466876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14688949, s2 = 8239718, dlinesl.size( ) = 14 s1 = 4312454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4312806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4312806, s2 = 4628194, int(edited[s2]) = 0 s1 = 4312806, s2 = 4628194, d1 = 8, d2 = 36 Dl.O(d1) = 166020005 Dl.O(d2) = 166020008,176661173,176661177,166020013,154267398,141611594,128261167,114384754,100361297,100361296,114384752,128261165,260697586,261814908,186077434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4312806, s2 = 4628194, dlinesl.size( ) = 36 s1 = 4312860, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3192573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3192573, s2 = 14716028, int(edited[s2]) = 0 s1 = 3192573, s2 = 14716028, d1 = 11, d2 = 16 Dl.O(d1) = 100384212,114407137,128283085,261760071 Dl.O(d2) = 263183097,263110728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7109912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7109912, s2 = 14039470, int(edited[s2]) = 0 s1 = 7109912, s2 = 14039470, d1 = 10, d2 = 3 Dl.O(d1) = 262702602 Dl.O(d2) = 19786582,23835491,269068590,17192028,17192031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7109912, s2 = 14039470, dlinesl.size( ) = 2 s1 = 7109912, s2 = 14039470, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7109912, Dl.E( ) = 30, 1.38e-05 seconds used appending s1 = 4765878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4765878, s2 = 11043373, int(edited[s2]) = 0 s1 = 4765878, s2 = 11043373, d1 = 35, d2 = 115 Dl.O(d1) = 194307490,194307491,201335013,207249527,262814984,261835952,260720846 Dl.O(d2) = 70309939,57619485,46275079,46275078,36422446,27964090,20801826,16764052,16764053,257579101,48921218,269833557,86666570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4314010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7003603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8208638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8208638, s2 = 10350488, int(edited[s2]) = 0 s1 = 8208638, s2 = 10350488, d1 = 56, d2 = 18 Dl.O(d1) = 268466064,255223396,22211104,29556084,258745463,99713971,272856429,262412374 Dl.O(d2) = 58190038,257721206,15251093,15251094,21220028,21220030,21220019,21220018,21220135,21220136,28446261,36946033,255394942,48638703,254563334,30141263,28564454,21337603,21337604,28564456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7003847, s2 = 11348684, int(edited[s2]) = 0 s1 = 7003847, s2 = 11348684, d1 = 29, d2 = 30 Dl.O(d1) = 261218793,262278177,264244833,212157405,216138980 Dl.O(d2) = 265734280,265734282,227435032,265508026,223223514,225475815,227435031,229149255,229149256,227435033,274543894,230663379,229149253,229149252,274490089,223223511,220619016,217557360,213889140,273673152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003847, s2 = 11348684, dlinesl.size( ) = 18 s1 = 3933425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3933425, s2 = 11140118, int(edited[s2]) = 0 s1 = 3933425, s2 = 11140118, d1 = 38, d2 = 17 Dl.O(d1) = 141734737,154381783 Dl.O(d2) = 70707258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3933425, s2 = 11140118, dlinesl.size( ) = 2 s1 = 3933425, s2 = 11140118, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3933425, Dl.E( ) = 66, 1.69e-05 seconds used appending s1 = 4134491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3934747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4020342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9529931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8192820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8192820, s2 = 16277616, int(edited[s2]) = 0 s1 = 8192820, s2 = 16277616, d1 = 18, d2 = 16 Dl.O(d1) = 73000934,86598413,100559868,114591682,128477254,141829953,154474389 Dl.O(d2) = 259376676,48059931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8192820, s2 = 16277616, dlinesl.size( ) = 2 s1 = 8192820, s2 = 16277616, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8192820, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 6881246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3935840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2407877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7004591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7004591, s2 = 11943239, int(edited[s2]) = 0 s1 = 7004591, s2 = 11943239, d1 = 45, d2 = 60 Dl.O(d1) = 257579003,73059719,86664922,100637863,271825569,261226927 Dl.O(d2) = 238933920,239530957,240082375,240593341,241067566,240918352,240430598,239904950,239336245,238718764,238045617,237305261,236491313,235599411,234620407,233545664,232363623,231056469,229600057,227961361,226095759,223953884,221479847,221479846,221479847,218592207,218592206,218592207,215161194,210995093,205897262,199733599,192446516,183983019,174324301,163480713,151600800,138899929,125566710,259365468,97833753,83972514,70444870,57749644,46398780,46398779,57749642,53772963,53772962,44502827,44502826,48654979,48651871,48651872,60048395,49770892,39752430,255996833,17279564,255547053,31074812,39752431,49770893,257038228,38683871,30107344,22726384,16521119,11513901,7659158,7128210,7128208,10785037,7125950,7125951,9089638,7660834,7660831,11516547,11516455,11516457,16524461,21619295,15589101,15589104,20886662,21630795,15599733,10791640,10791644,14936382,17864505,23890276,20914804,20914805,15023006,15023005,20802699,16525481,16525484,15071929,10784022,7125375,7125377,10784028,15588902,15600759,10792452,10792451,15600751,14605681,14605680,10275337,10275339,14940112,16776887,11729869,11729870,16776891,14597825,10044596,6600853,6600849,10044553,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534943,11338594,16296451,20343635,21625147,16520152,16520153,22725401,27279085,35404952,44830447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7004591, s2 = 11943239, dlinesl.size( ) = 32 s1 = 10358924, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358924, s2 = 15120462, int(edited[s2]) = 0 s1 = 10358924, s2 = 15120462, d1 = 38, d2 = 36 Dl.O(d1) = 85456883,271384230,140603005,272850375,273859721,264979047,274272612,274115090,264272624,262322568 Dl.O(d2) = 209728593,204334277,263723614,190280553,197868124,197868196,197868128,197868129,204334282,197868232,197868231,204334361,209728565,264648313,264876072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358924, s2 = 15120462, dlinesl.size( ) = 2 s1 = 10358924, s2 = 15120462, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10358924, Dl.E( ) = 42, 2.19e-05 seconds used appending s1 = 7044537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4320138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4320138, s2 = 11587896, int(edited[s2]) = 0 s1 = 4320138, s2 = 11587896, d1 = 14, d2 = 22 Dl.O(d1) = 166339752 Dl.O(d2) = 235741491,234776012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4320138, s2 = 11587896, dlinesl.size( ) = 38 s1 = 4320168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6743898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7005038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4138716, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10353498, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8713936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4321637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4321637, s2 = 7005196, int(edited[s2]) = 0 s1 = 4321637, s2 = 7005196, d1 = 1, d2 = 1 Dl.O(d1) = 166444815,262767108,261234342 Dl.O(d2) = 166444815,262767108,261234342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4321637, s2 = 7005196, dlinesl.size( ) = 2 s1 = 4321637, s2 = 7005196, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4321637, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11659872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9140001, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7115853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7115853, s2 = 11272510, int(edited[s2]) = 0 s1 = 7115853, s2 = 11272510, d1 = 51, d2 = 89 Dl.O(d1) = 262774881 Dl.O(d2) = 30595891,23176958,16912430,16912428,23176955,17862598,12649466,12649465,17862594,257099783,258292079,262264901,261093622,105519522,91301806,91301805,105519520,262924993,263520288,262203830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7115853, s2 = 11272510, dlinesl.size( ) = 70 s1 = 8359923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4141590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4141590, s2 = 9171575, int(edited[s2]) = 0 s1 = 4141590, s2 = 9171575, d1 = 27, d2 = 87 Dl.O(d1) = 154800597 Dl.O(d2) = 50200335,61683639,74466811,88079244,102065672,260731409,143365990,155908884,167523831,177995426,263634795,195294666,202178853,206213356,200136491,192940157,263480982,192085815,183544392,173776960,162779274,150686568,137691235,259279162,95666609,81633156,68143064,55745160,55745161,68143065,81633157,95666611,261012097,261079534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4141590, s2 = 9171575, dlinesl.size( ) = 34 s1 = 9736303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9736303, s2 = 11190668, int(edited[s2]) = 0 s1 = 9736303, s2 = 11190668, d1 = 35, d2 = 37 Dl.O(d1) = 262580912,33239414,33239413,257202343,39030138,258189089,259448963,261239833 Dl.O(d2) = 212781525,264295592,263639568,185555096,270910750,85777827,72183403,59445064,59445065,258281156,48053413,38139927,29573525,22226550,16093115,16093114,268401557,38139922,48053404,59445059,72183398,85777822,99731807,113746226,102171309,88181437,88181438,85777857,85777856,99731851,113746261,116231533,102364931,102364930,102310467,258909439,61894113,50403608,257677649,74687634,88315125,102310452,107801487,102310500,88315151,88315152,102310502,116402386,130238408,116402370,102310479,88315142,74687643,61894114,61894115,74687646,88315147,102310490,116402382,130238420,133980237,146098548,146098549,156100271,261316643,116402354,116402353,127614842,271877453,102310511,102310512,116402396,130141546,143471878,141681531,128331756,114454643,114454644,128331733,114454622,100430059,100430058,114454621,128331731,141681518,153630218,153630217,147752182,134621698,120824806,120824805,114454616,100430055,86472832,257493378,78251271,78251270,92278458,100430018,258727154,141681494,141681522,260570512,152835887,152835885,164672370,175430373,176720597,166083640,154333975,141681478,128331715,128331714,141611091,128260672,114384235,114384233,114384269,260018974,72809242,72809244,86404453,260634579,128260647,261210881,114384230,114384229,128260662,141611081,154266908,141611099,128260687,128260686,128260705,128260704,141611117,152835916,140141295,128260706,114384259,260018972,86404447,260034503,128260713,128392339,126790746,112936285,98947138,98947139,112936305,126790770,140141288,152835909,141737720,141737721,128392353,114518216,114518190,114518191,128392324,135715730,121775376,107390621,107390623,260291208,140141299,126790776,260604675,260378886,112936320,98947134,85022033,270816805,98947125,100494354,86535633,72937353,60198125,48801192,38878833,38878834,48801194,60198130,72937362,86535652,98947123,98947124,86577904,86577905,100538689,114568963,115732190,101687562,101687563,94397027,94397026,98947119,100494338,114518170,100538692,100538693,114518175,114518174,258804850,86577907,100538695,114568971,108684095,94397040,80342639,66916269,66916270,66916240,54659638,43917314,34644396,256725125,54659633,43917337,43917338,256725129,34644410,34644394,26653390,26653389,34644391,29757384,22396668,16236379,16236380,22396670,29757388,38326915,48236669,54659646,258506229,85953493,72358214,59623534,48236666,38326910,38326909,48236663,59623527,72358207,71449915,58719482,47330996,47330997,58719443,58719442,54659641,43917316,43917317,47330980,47330981,58719466,58719515,47331046,37422743,37422744,47331048,58719517,58719457,47330971,47330972,47330983,269319923,80342606,80342605,71449942,58719492,269788181,47331050,268618461,28880710,37422748,37422693,37422694,28880689,21604879,15576594,15576595,21604880,28880690,37422717,47331018,58719498,53505973,53505975,257806214,269514300,47330919,47330908,37422627,28880631,21604842,21604843,28880633,28880613,21604823,21604822,28880609,37422598,47330877,53123510,42672603,33643379,25840128,25840127,33643376,42672599,33968428,33963774,33963775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9736303, s2 = 11190668, dlinesl.size( ) = 28 s1 = 13669803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13669803, s2 = 7226371, int(edited[s2]) = 0 s1 = 13669803, s2 = 7226371, d1 = 81, d2 = 74 Dl.O(d1) = 128360739,141708487,154357877,166104516,175865490,175865491,166528757,154823995,154823996,166528759,177106103,179719568,262089336,262235470,261172824,132446548,145690167,154823991,166528751,166528756,169496666,261559336,177106100,177106099,260405040,142188405,259792424,261787246,112875996,98888193,84962648,71387739,71387740,84962650,98888196,84962657,71387742,71387741 Dl.O(d2) = 260652439,141954149,262761741,263584817,264250369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13669803, s2 = 7226371, dlinesl.size( ) = 2 s1 = 13669803, s2 = 7226371, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13669803, Dl.E( ) = 82, 2.6e-05 seconds used appending s1 = 10353771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9542402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9542402, s2 = 14295854, int(edited[s2]) = 0 s1 = 9542402, s2 = 14295854, d1 = 13, d2 = 7 Dl.O(d1) = 273532894,128892436,114990622,114990623,128892437,142243564,154877128,166577942,177152215,263207313,166577939 Dl.O(d2) = 21020510,28214450,28214456,21020513,15097434,10412433,10412432,15097432,255801809,268909095,36705833,28214453,21020511,21020510,28214450,28214456,21020513,15097434,10412433,10412432,15097432,21020512,21020514,15097434,10412433,254489217,4307566,255012271,21020516,28214457,36705836,42019036,33074923,25344817,18764036,13361600,9131686,5975872,3737173,2237513,1297602,267809903,9131670,5978836,267929711,33087254,35307805,35307806,35028994,35028995,35029039,35029040,35029128,35029127,44404458,35029190,35029191,35029179,29682945,22331326,16184925,16184926,22331328,29682948,38247893,48157094,42166432,42166431,41217372,256095486,20318442,20318441,27251184,255259102,11567058,7698965,7698966,7699561,7699560,4873579,4872035,4872034,7697974,9893791,9893792,7509473,7509472,10514138,10514140,14368355,9874518,9874520,14368364,11333806,11333805,16290639,16290873,11333971,11333975,9901448,9901450,14395311,268047821,4078148,2440060,1410756,802472,802473,1410757,254130328,6507882,9901377,14395215,254820542,33316751,25554759,24213543,17843256,12635556,8579169,268705284,24213537,256667703,33548168,42564795,42564796,257816795,78252923,86922869,73313035,60570174,49171229,49171230,49171227,39246112,30650401,23228761,16955685,11867916,7932139,5042837,3053382,3053385,3070544,5066476,5069652,3073356,254175689,576179,576178,1022555,1792719,1794141,1794140,1030805,1030804,1791611,3072065,1806528,1031700,1031698,1028105,1028104,1801307,3085548,2714032,1572356,1028357,579458,504299,504297,579509,579505,1028437,1801759,1796679,1572754,894226,504484,282874,282873,504479,893696,893697,1571894,1779906,1014892,1014891,1779900,3054682,4515897,2713680,254161459,504285,504286,893826,1016742,1016741,1782897,3058655,3092103,1806548,1806549,3092104,5089022,3088010,3088011,3054651,3054650,5044222,7933553,11867318,7931695,5073472,5073473,7932397,5043100,5043101,7932399,11868212,255468666,5056569,7950537,7951231,5057085,3090629,1805325,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,5056564,3063463,3063461,5056557,5055556,3062778,1785353,1018066,573767,573769,1018078,1785385,3062834,5043442,5041500,3052307,3052308,5041489,7930450,11676354,16718212,11842531,7914385,5031137,3045559,1773757,1773758,3045561,2983512,1732392,984868,554398,310190,310189,553206,309590,171254,171252,309585,553197,982584,254369303,7785540,11676896,16718680,19525464,19525463,26242566,34105992,43191684,53703393,43191695,256699045,26242568,26242569,34105997,26242571,26242570,34105999,43191691,53703403,60255440,53703424,43191705,43191706,53703426,65760586,79116822,86689793,93233735,79116808,79116806,86587884,100548775,99580051,85630152,258739222,85630127,99580033,270280666,85630140,85630141,75813316,62849684,62849683,75813318,84389072,98297596,259279768,70831952,58117281,58117280,58117282,70831954,84389077,98297604,112279096,126138375,130551722,130090442,130090443,143418406,272279084,260161166,88615069,88166282,74550995,61767156,54607518,43864538,43864539,54607519,61767153,50287359,256540357,31579018,40266120,50287355,61767146,74550983,270910429,116219143,130130040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9542402, s2 = 14295854, dlinesl.size( ) = 8 s1 = 8545899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7684932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7116145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7116145, s2 = 7268490, int(edited[s2]) = 0 s1 = 7116145, s2 = 7268490, d1 = 111, d2 = 145 Dl.O(d1) = 262778227 Dl.O(d2) = 219378118,216074065,212085896,207203974,207203976,264775103,215914853,264237738,273719875,262268000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7116145, s2 = 7268490, dlinesl.size( ) = 22 s1 = 4144952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4144952, s2 = 7398597, int(edited[s2]) = 0 s1 = 4144952, s2 = 7398597, d1 = 0, d2 = 18 Dl.O(d1) = 155018564 Dl.O(d2) = 266246089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4144952, s2 = 7398597, dlinesl.size( ) = 18 s1 = 14165574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165574, s2 = 14317891, int(edited[s2]) = 0 s1 = 14165574, s2 = 14317891, d1 = 4, d2 = 6 Dl.O(d1) = 263058630 Dl.O(d2) = 262503602,147346738,260911038,91909034,77985273,77985272,269529307,33702956,25896829,19236606,13743617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165574, s2 = 14317891, dlinesl.size( ) = 2 s1 = 14165574, s2 = 14317891, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165574, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 4491702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10336757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8488173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7006747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8663887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8663887, s2 = 7907654, int(edited[s2]) = 0 s1 = 8663887, s2 = 7907654, d1 = 21, d2 = 6 Dl.O(d1) = 161218865,172427497,182384997,191091513,184056845,174401651,163558885,151678082,138973499,271389866,101111114,101111115,115189345,129121320,262784171,186701301,184056826,174401607,163558802,151677963,138973358,138973359,260835320,161218893,172427506,261941144,273375567,155142958,142498638,261800325,166836562,177384768,262441976,262441974,178198201,178198202,261941120,261941118,177384757,272600782,260709458,129121321,261800325,166836562,177384768,261404144,163558818,163558819,262442000,158424536,158424535,158424537,262903903 Dl.O(d2) = 273779041,158424563,261941142,260835308,148903667,135655296,272686254,198584017,273221874,273172501,143608704,130281436,116444698,102351706,268951878,40409450,255481478,17839856,15238177,10511867,10511870,15238182,12634078,12634077,12637718,17846093,19819852,14197274,14197273,15975765,11090164,11090162,254359392,254784274,14561774,12557442,8513841,8513840,12557439,15158967,10454235,10454236,13017720,13017718,12537390,8498892,5500439,4028591,4028593,6421587,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,8088688,8088686,12031774,17118531,12029781,8087443,5181666,5181667,8087445,12029785,17118538,23390432,19655128,16394106,254422724,22768169,16554253,16554254,22768170,21104288,21104291,28314536,26397843,26397845,26904059,21705885,17116317,15705155,15705156,21760385,22178078,17116322,14902839,10246646,6732468,4218022,4218021,6732466,6732520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8663887, s2 = 7907654, dlinesl.size( ) = 8 s1 = 8546789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8546789, s2 = 12722863, int(edited[s2]) = 0 s1 = 8546789, s2 = 12722863, d1 = 1, d2 = 110 Dl.O(d1) = 101118418 Dl.O(d2) = 232361791,231054289,265831211,265965273,232361788,232361791,231054289,265831211,226092478,223949959,221475268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8546789, s2 = 12722863, dlinesl.size( ) = 28 s1 = 8033049, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7046527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3948908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3948908, s2 = 11198110, int(edited[s2]) = 0 s1 = 3948908, s2 = 11198110, d1 = 11, d2 = 7 Dl.O(d1) = 129133377,142510545,155154802,166566724,154864950,142230334,128878357,114975898,258835614,73329297,60585153,49185204,39259348,34304278,256702349,26299793,19576743,14024282,9640545,9640544,14024280,16618820,22841133,22775791,16560448,16560447,19681157,26417639,34293887,36733445,37746140,37746139,47668128,58844417,57731429,46381348,36521836,268372021,20886841,28056640,36521835,46381346,57731428,64179333,52328236,41987919,33044186,25316313,25316312,33044183,41987918,256116342,22619367,16434696,16434697,22619368,26018016,19342962 Dl.O(d2) = 255270469,256139437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3948908, s2 = 11198110, dlinesl.size( ) = 2 s1 = 3948908, s2 = 11198110, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 3948908, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 4148078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4301980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3729018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4330070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6833154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4198462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4330763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4330763, s2 = 2810491, int(edited[s2]) = 0 s1 = 4330763, s2 = 2810491, d1 = 50, d2 = 10 Dl.O(d1) = 166884095,166884096 Dl.O(d2) = 84492411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4330763, s2 = 2810491, dlinesl.size( ) = 42 s1 = 10239778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10239778, s2 = 9042248, int(edited[s2]) = 0 s1 = 10239778, s2 = 9042248, d1 = 38, d2 = 40 Dl.O(d1) = 142560484,129185372,129185373,260640120,273138034,201798054,263575906,194857442,186748235,262275698,155202973 Dl.O(d2) = 264242916,263185156,186748225,186748224,194857431,186748231,186748230,263185158,194857442,186748235,262275698,155202973,155202974,166893452,177436827,273138030,201798045,194857445,186748237,262751352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 4 s1 = 4331214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7007518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7007518, s2 = 6993644, int(edited[s2]) = 0 s1 = 7007518, s2 = 6993644, d1 = 95, d2 = 92 Dl.O(d1) = 261262403 Dl.O(d2) = 261102956 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9328624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9328624, s2 = 7636138, int(edited[s2]) = 0 s1 = 9328624, s2 = 7636138, d1 = 27, d2 = 18 Dl.O(d1) = 273539243,264744103,264269897,186768532,177460964,166921927,166921928,166921926 Dl.O(d2) = 270337074,255540909,268429733,259473657,261263093,273726328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9328624, s2 = 7636138, dlinesl.size( ) = 26 s1 = 14124451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124451, s2 = 3489490, int(edited[s2]) = 0 s1 = 14124451, s2 = 3489490, d1 = 36, d2 = 1 Dl.O(d1) = 274206897,274287519,212471595 Dl.O(d2) = 115307512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124451, s2 = 3489490, dlinesl.size( ) = 32 s1 = 10216310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4332490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8631448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8631448, s2 = 8337311, int(edited[s2]) = 0 s1 = 8631448, s2 = 8337311, d1 = 108, d2 = 106 Dl.O(d1) = 272019275,171264503,263816070,166951723,166951724 Dl.O(d2) = 4152070,6631667,10098537,14682962,20461926,27446139,35642411,45162857,56177181,68662815,82192150,259824389,124431918,272158586,82643973,69114392,269241531,35840707,27573494,20544504,20544505,27573490,27797118,20690752,20690751,20604110,20604111,27666840,27605058,27605057,35889037,35658125,35658123,36267617,27858393,20730693,20730692,20731898,14861421,14861418,20731893,27860284,36270147,46059732,57337475,258570189,68662816,82192151,258707270 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10176101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10176101, s2 = 4332867, int(edited[s2]) = 0 s1 = 10176101, s2 = 4332867, d1 = 13, d2 = 4 Dl.O(d1) = 12438701,12438700,8416065,8416066,12447818,12461679,8430601,8430599,8430598,8614482,8431786,5443307,3346271,1967550,1123655,1123656,1967554,3346278,5443323,3353076,3353077,5454190,5449596,3352220,3352219,5452936,8418921,8423413,8423074,8423076,5444654,3347116,1968013,1968015,3347064,3347066,1972796,1126338,631648,350671,192144,192140,350653,631599,1121813,629349,629351,1121822,1964076,3337156,5428601,5452690,5452693,5428433,5428429,5446146,3350610,3350614,5450455,8441059,8436429,8436430,5494809,5494808,8424588,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424979,5424981,5430258,5425212,3335070,3335069,3340208,2626399,1516231,1516232,2626405,3351061,1970096,1970097,3334830,3334831,5424797,8406836,8441815,8441816,12466180,12123848,8155516,8155517,12123849 Dl.O(d2) = 167021768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10176101, s2 = 4332867, dlinesl.size( ) = 2 s1 = 10176101, s2 = 4332867, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10176101, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 4333047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9469276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4189295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8576290, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4152978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8506839, s2 = 9671336, int(edited[s2]) = 0 s1 = 8506839, s2 = 9671336, d1 = 1, d2 = 1 Dl.O(d1) = 115643698,115643697,261272153,142845513,142845512,261426524,115643692,115643685,115643684,260262322,87636917,74033356,61253367,49774674,39756022,31078445,256500999,49774677,61253366,74033353,87636919,101603643,115643690,129528556,142845511,155426402,167066110,177571848,177571849,186859720,194953262,194953260,194953261,201880265,207709235,212516084,216446013,219704891,219704892,222456829,224819633,226871339,228659645,229475111,227818822,225932438,223769871,223769870,225932437,223769874,265138888,218362763,265138890,210684912,205528781,263801534,183364651,183364650,173568453,173568452,162535692,150405458,150405454,150405455,162535686,162535688,173568451,173568463,162535701,150405466,137364555,123632726,109439673,95183780,81125440,67658711,55319196,44473345,35096754,27010322,27010321,35096752,44473341,55319185,44473338,44473339,55319186,49747007,39727829,31048994,31048993,39727828,255306682,43353589,43353587,43353734,34253767,26376528,256187207,26376411,19643004,19643009,24467834,18047984,18047983,24467830,32030074,34255009,26377798,26377020,26377021,34254287,39272473,30675994,30675993,30783405,23358580,17090030,17090028,14079834,9684351,9684275,9684274,14079710,17243231,23551334,23340155,19643552,14079412,14079415,19642990,14079000,14078999,19642987,16728391,16728392,13651292,9347917,6122837,6122836,3996965,3996964,6369768,9684050,14079339,19643312,14079224,9683983,9683981,14079217,19643300,26376821,34254094,26377849,26377850,26377938,34255275,43355185,53879906,53544348,268924324,78904397,88486125,79311371,65947160,65947161,71062820,58346509,46977210,46977211,55318515,44472456,257725310,85372702,71783355,59041642,47639871,40927835,32150323,24566920,18126788,12853480,8740723,5690363,5690361,8740716,12853464,18126752,24566863,32150222,40927703,51068189,47899683,47899682,59294934,72031216,85619676,99570202,113586683,127462787,140822902,153503792,165299377,166925310,166925311,166925317,166925318,166925349,155240380,155240302,142603252,129232667,272248061,142603293,129232699,129232698,142603291,142603322,129232729,129232728,129232706,115304545,115304516,101226296,101226297,101226310,101226309,115304536,101226320,87225315,73603171,60853437,49451822,39519668,30910433,30910435,39519669,49451824,60853441,73603179,73603164,60853431,258226509,87225301,101226295,115304514,129232662,142603245,155240290,152318381,152318382,162186193,261418150,155240313,166925300,173280363,162186190,162186191,166336213,166336207,166336206,262194300,128616736,128616737,141976453,128616732,128616733,141976456,128616739,128616738,261127230,259949080,260053677,128616724,128616695,114719929,100673560,100673559,100673553,86700361,73096963,60358812,60358813,73096965,86700363,100673557,100673565,114719934,271780947,99052405,85127480,71556929,58829511,58829512,71556931,259330681,113040771,112528199,112528200,126398096,139772800,143812744,130488232,271425679,88543856,88543855,74905645,62102247,50603689,268693701,24338868,24338869,31861012,257109269,256052887,24338867,31861009,40562672,46962817,46962815,58330276,71045698,84609437,98533905,98533902,84609436,84609435,272179062,139772789,126398086,112528187,112528188,112528192,126398089,139772795,152492725,262651867,152492719,139772791,139772790,262168257,175151659,175151658,184728616,193091109,184728627,184728628,184728625,175151671,165432874,153651797,140984735,127635769,127635770,140984736,153651799,165432873,165432872,174679743,184301987,174679719,163862316,262629271,174679710,174679711,184301981,264028521,196514768,199581532,192269959,183782362,174099641,174099630,174099629,174099646,174099647,174099643,262319870,138612739,125251909,111405435,97433127,83532849,83532848,96680182,96484679,82499674,68978095,257352135,35786913,35786916,35794986,35794985,35485627,27337426,20387392,14632191,10065884,10065885,14632137,10077004,10077003,10064036,6611556,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443260,1443255,2495668,1440666,1440661,2495694,1449091,1449086,2513556,4202763,6707145,10207285,14842217,20702318,27814987,31649941,31648941,24142736,17778063,17778059,24142785,31649557,35593840,44978105,44978103,45828969,36313807,36313805,35964346,35510647,27354748,20399312,14639859,14639857,14877061,14877062,14821889,14821885,20670698,27685412,27685410,20630874,20523538,20523535,27543366,20616268,20616264,27685046,36012788,40995418,40995420,51142795,50382803,50382806,56849842,61871745,57478797,57478796,70142218,83667069,96063087,82022598,82022596,68498318,68498319,56230055,45206996,35676932,35676931,45206994,45319963,35752307,27518091,20508040,14712688,14712689,20483505,14697182,10133482,6692310,6692312,6618383,6618380,6611532,6611530,4182507,2500989,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492708,1439324,1439327,2492719,4169941,6660067,10141339,14747210,20558383,27595899,27595898,27595903,27595902,35875850,45504970,56630504,69187308,82715094,82715096,96686398,85369983,85369984,71780586,258715069,71780585,59038506,47636452,37714013,37714012,47636449,47636457,37714020,29153438,21844841,15774692,10926735,10926736,7232574,7225885,7225886,7225894,10924081,15771567,21841164,29149268,29149266,21841163,21841162,29149264,37709535,47631803,59034031 Dl.O(d2) = 115643698,115643697,261272153,142845513,142845512,261426524,115643692,115643685,115643684,260262322,87636917,74033356,61253367,49774674,39756022,31078445,256500999,49774677,61253366,74033353,87636919,101603643,115643690,129528556,142845511,155426402,167066110,177571848,177571849,186859720,194953262,194953260,194953261,201880265,207709235,212516084,216446013,219704891,219704892,222456829,224819633,226871339,228659645,229475111,227818822,225932438,223769871,223769870,225932437,223769874,265138888,218362763,265138890,210684912,205528781,263801534,183364651,183364650,173568453,173568452,162535692,150405458,150405454,150405455,162535686,162535688,173568451,173568463,162535701,150405466,137364555,123632726,109439673,95183780,81125440,67658711,55319196,44473345,35096754,27010322,27010321,35096752,44473341,55319185,44473338,44473339,55319186,49747007,39727829,31048994,31048993,39727828,255306682,43353589,43353587,43353734,34253767,26376528,256187207,26376411,19643004,19643009,24467834,18047984,18047983,24467830,32030074,34255009,26377798,26377020,26377021,34254287,39272473,30675994,30675993,30783405,23358580,17090030,17090028,14079834,9684351,9684275,9684274,14079710,17243231,23551334,23340155,19643552,14079412,14079415,19642990,14079000,14078999,19642987,16728391,16728392,13651292,9347917,6122837,6122836,3996965,3996964,6369768,9684050,14079339,19643312,14079224,9683983,9683981,14079217,19643300,26376821,34254094,26377849,26377850,26377938,34255275,43355185,53879906,53544348,268924324,78904397,88486125,79311371,65947160,65947161,71062820,58346509,46977210,46977211,55318515,44472456,257725310,85372702,71783355,59041642,47639871,40927835,32150323,24566920,18126788,12853480,8740723,5690363,5690361,8740716,12853464,18126752,24566863,32150222,40927703,51068189,47899683,47899682,59294934,72031216,85619676,99570202,113586683,127462787,140822902,153503792,165299377,166925310,166925311,166925317,166925318,166925349,155240380,155240302,142603252,129232667,272248061,142603293,129232699,129232698,142603291,142603322,129232729,129232728,129232706,115304545,115304516,101226296,101226297,101226310,101226309,115304536,101226320,87225315,73603171,60853437,49451822,39519668,30910433,30910435,39519669,49451824,60853441,73603179,73603164,60853431,258226509,87225301,101226295,115304514,129232662,142603245,155240290,152318381,152318382,162186193,261418150,155240313,166925300,173280363,162186190,162186191,166336213,166336207,166336206,262194300,128616736,128616737,141976453,128616732,128616733,141976456,128616739,128616738,261127230,259949080,260053677,128616724,128616695,114719929,100673560,100673559,100673553,86700361,73096963,60358812,60358813,73096965,86700363,100673557,100673565,114719934,271780947,99052405,85127480,71556929,58829511,58829512,71556931,259330681,113040771,112528199,112528200,126398096,139772800,143812744,130488232,271425679,88543856,88543855,74905645,62102247,50603689,268693701,24338868,24338869,31861012,257109269,256052887,24338867,31861009,40562672,46962817,46962815,58330276,71045698,84609437,98533905,98533902,84609436,84609435,272179062,139772789,126398086,112528187,112528188,112528192,126398089,139772795,152492725,262651867,152492719,139772791,139772790,262168257,175151659,175151658,184728616,193091109,184728627,184728628,184728625,175151671,165432874,153651797,140984735,127635769,127635770,140984736,153651799,165432873,165432872,174679743,184301987,174679719,163862316,262629271,174679710,174679711,184301981,264028521,196514768,199581532,192269959,183782362,174099641,174099630,174099629,174099646,174099647,174099643,262319870,138612739,125251909,111405435,97433127,83532849,83532848,96680182,96484679,82499674,68978095,257352135,35786913,35786916,35794986,35794985,35485627,27337426,20387392,14632191,10065884,10065885,14632137,10077004,10077003,10064036,6611556,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443260,1443255,2495668,1440666,1440661,2495694,1449091,1449086,2513556,4202763,6707145,10207285,14842217,20702318,27814987,31649941,31648941,24142736,17778063,17778059,24142785,31649557,35593840,44978105,44978103,45828969,36313807,36313805,35964346,35510647,27354748,20399312,14639859,14639857,14877061,14877062,14821889,14821885,20670698,27685412,27685410,20630874,20523538,20523535,27543366,20616268,20616264,27685046,36012788,40995418,40995420,51142795,50382803,50382806,56849842,61871745,57478797,57478796,70142218,83667069,96063087,82022598,82022596,68498318,68498319,56230055,45206996,35676932,35676931,45206994,45319963,35752307,27518091,20508040,14712688,14712689,20483505,14697182,10133482,6692310,6692312,6618383,6618380,6611532,6611530,4182507,2500989,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492708,1439324,1439327,2492719,4169941,6660067,10141339,14747210,20558383,27595899,27595898,27595903,27595902,35875850,45504970,56630504,69187308,82715094,82715096,96686398,85369983,85369984,71780586,258715069,71780585,59038506,47636452,37714013,37714012,47636449,47636457,37714020,29153438,21844841,15774692,10926735,10926736,7232574,7225885,7225886,7225894,10924081,15771567,21841164,29149268,29149266,21841163,21841162,29149264,37709535,47631803,59034031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8506839, s2 = 9671336, dlinesl.size( ) = 2 s1 = 8506839, s2 = 9671336, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8506839, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 8620732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8620732, s2 = 8708813, int(edited[s2]) = 0 s1 = 8620732, s2 = 8708813, d1 = 52, d2 = 54 Dl.O(d1) = 260701940,261818592,155474723 Dl.O(d2) = 263229842,167139240,261820210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8620732, s2 = 8708813, dlinesl.size( ) = 24 s1 = 10238818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4076345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842082, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7985867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9702613, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7679605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3957829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7020554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15569544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4337372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3958511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8548787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4157827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4338978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9045689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4279452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165030, s2 = 14105966, int(edited[s2]) = 0 s1 = 14165030, s2 = 14105966, d1 = 5, d2 = 7 Dl.O(d1) = 270376179 Dl.O(d2) = 39744473,31066402,23582316,17270014,12148976,255158513,23582315,31066400,29713847,27189568,20265634,20265633,27189566,25524875,25524874,21252849,21252848,21083653,15144405,15144404,21083652,18883003,17487139,12329732,8329182,5375670,3305558,1944688,1944687,3305555,5375663,8329172,12329721,17487126,23823995,31312929,39989498,50007227,256842328,101837441,115882399,129780727,143110661,155661994,167293551,177787771,272828150,202045024,207853071,212640409,216553494,219798721,222537780,224890457,226933369,228713829,228713826,228713827,230280450,228713825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165030, s2 = 14105966, dlinesl.size( ) = 2 s1 = 14165030, s2 = 14105966, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165030, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9544817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7093490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093490, s2 = 11454468, int(edited[s2]) = 0 s1 = 7093490, s2 = 11454468, d1 = 26, d2 = 21 Dl.O(d1) = 262471840,155719730 Dl.O(d2) = 100781932,86801138,258194719,49038442,39108578,39108579,49038444,60442318,73189089,86801137,100781929,114834002,128733850,140211911,140211910,140211913,126865466,113013718,113013719,126865467,140211915,126865468,126865469,140211918,147019761,133771339,133771340,147019762,159400722,170748350,180887463,189781018,197448178,203975416,199280984,199280983,193324355,184990653,184990652,183347921,173550916,162516697,150384958,137342697,261554303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093490, s2 = 11454468, dlinesl.size( ) = 14 s1 = 3963729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3963729, s2 = 10358646, int(edited[s2]) = 0 s1 = 3963729, s2 = 10358646, d1 = 2, d2 = 17 Dl.O(d1) = 143172000,155726161,263242471,195202496,262691964 Dl.O(d2) = 261184147,153714854,165493525,176172026,273991425,215887870,215741637,274555923,229055716,265487590,264888004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3963729, s2 = 10358646, dlinesl.size( ) = 8 s1 = 7055399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10233460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10233460, s2 = 3240090, int(edited[s2]) = 0 s1 = 10233460, s2 = 3240090, d1 = 14, d2 = 2 Dl.O(d1) = 264170758,207916658,207916659,263086368,195218861,195218860 Dl.O(d2) = 101925473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10233460, s2 = 3240090, dlinesl.size( ) = 2 s1 = 10233460, s2 = 3240090, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10233460, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 7032764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7032764, s2 = 15389265, int(edited[s2]) = 0 s1 = 7032764, s2 = 15389265, d1 = 17, d2 = 35 Dl.O(d1) = 261639438 Dl.O(d2) = 85199234,71634409,58913727,47532430,37625894,29074973,21777009,15717787,15717791,21777016,20062346,14378097,14356381,14356382,14355903,254468662,14386262,15757988,21825467,29132531,29133803,22092817,22092818,15985340,11097269,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,15758092,16034225,18240603,18240605,23479783,23479782,22443958,16275238,16275237,22443954,29810815,32327991,30834639,30834640,37691680,30834636,30834635,23405803,23405801,21826829,21826830,23886887,17540448,12371795,12371797,10384293,10384292,15058710,20968519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7032764, s2 = 15389265, dlinesl.size( ) = 2 s1 = 7032764, s2 = 15389265, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7032764, Dl.E( ) = 36, 3e-05 seconds used appending s1 = 4162533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4162533, s2 = 7233592, int(edited[s2]) = 0 s1 = 4162533, s2 = 7233592, d1 = 11, d2 = 19 Dl.O(d1) = 31837300,24318314,17931822,12705724,254619113,5613527,5632972,3593712,2142795,1237663,701772,394857,220213,220210,226304,124567,114661,64523,36609,36605,62778,114707,254091453,254141893,254196853,3538049,5687415,8736038,255218313,23897983,23897984,23897985,17552586,12382174,8367145,5400136,3320316,1953126,1115864,254186159,3320314,5400132,8367136,12382160,17552571,23897973,31392381,40073933,50094738,50094736,50094735,61574496,74351300,270295250,101926163,115970397,129867789,143196783,155748967,167381976,177877349,187148705,195219468 Dl.O(d2) = 226959474,228737404,229661019,229661016,229661021,228028996,226169390,265081646,265081644,226169389,228028995,229661011,228028992,226959473,226959474,228737404,229661019,229661016,229661021,229661020,229661008,229661007,231109572,231109576,229661012,228028993,226169388,226169385,226169384,228028988,265782446,229661012,229661013,231109575,231109574,231109582,231109579,231109573,229661008,229661007,231109572,231109576,229661012,228028993,226169388,226169385,226169384,228028988,265782446,229661012,229661013,231109575,231109574,231109582,231109580,231109581,230302739,229661010,228028992,226169387,224032908,224032907,226169384,228028988,265782446,229661012,228028993,226169388,265081642,218696045,264342600,206094540,199976579,192736740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4162533, s2 = 7233592, dlinesl.size( ) = 2 s1 = 4162533, s2 = 7233592, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4162533, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 7010229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5124404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5124404, s2 = 14278655, int(edited[s2]) = 0 s1 = 5124404, s2 = 14278655, d1 = 11, d2 = 8 Dl.O(d1) = 212710957,264191184 Dl.O(d2) = 263114221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5124404, s2 = 14278655, dlinesl.size( ) = 14 s1 = 4164030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13795987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4506974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4506974, s2 = 10153196, int(edited[s2]) = 0 s1 = 4506974, s2 = 10153196, d1 = 14, d2 = 13 Dl.O(d1) = 177922019,167433998 Dl.O(d2) = 20140984,27033826,34244760,26368235,19635742,14072658,14072657,19635741,16598528,16598529,22817740,30209658,38794225,48715632,60110408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4506974, s2 = 10153196, dlinesl.size( ) = 2 s1 = 4506974, s2 = 10153196, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4506974, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 3966909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3966909, s2 = 8587927, int(edited[s2]) = 0 s1 = 3966909, s2 = 8587927, d1 = 5, d2 = 35 Dl.O(d1) = 143259030 Dl.O(d2) = 263246809,177922407,177922406,167434372,155807572,261298283,272468640,101984865,260129233,261840737,155807584,261298279,116031770,261010744,61625502 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4025761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4165378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9521560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9521560, s2 = 9732820, int(edited[s2]) = 0 s1 = 9521560, s2 = 9732820, d1 = 28, d2 = 23 Dl.O(d1) = 261644297,139706456,260911236,84553743,70990830,58276458,46911382,37034286,37034285,46911377,258041945,84553718,98475440,93499866,93499867,107937783,258733072,128743716,128743714,260912706,155593104,260535696,128601857,258688380,107936279,116152412,112795493,112795492,259315224,126331884,115813748,101768029,87795655,87795656,259912263,84554179,70991150,257431999,37034368,28536244,28536243,37034364,46911507,58276652,70991142,84554167,98475985,107937782,107937783,258733072,128743716,128743714,130060816,116152526,116152524,130060814,129712391,115813748,101768029,101768028,260709677,129712402,129712400,122362704,260959709,271797610,113593619,99577558,99577557,113593616,119910579,260318134,98475801,98475965,98475815,84554030,84554031,98475820,107937202,93499187,79362276,65994722,53925352,53925349,65994718,77522368,64357050,52486733,42131757,42131756,42131749,42131750,52486720,64357025,77522330,259656273,119910601,112465408,112465407,126331600,114845082,100793945,86812981,86812980,100793943,114845081,128743680,142100856,133778895,272373651,143043032,129712391,115813748,101768029,101768028,115813746,129712390,129712477,115813837,115813838,129712478,260912688,143042857,129712174,115813533,101767800,101767801,115813535,115825978,101779751,87807366,87807367,101779753,115825982,119910577,105675270,91451922,91451921,259709572,259709570,126332036,139706789,152431911,164305847,152883986,140192714,126844451,112990711,99001329,99001328,112990709,126844448,112990742,112990743,126844441,140192705,140192712,258507858,107725209,93303896,79177438,65818163,53759749,53759748,65818161,79177435,93303890,93303886,257290528,107725208,99001351,99001352,112990738,107725199,107725198,122127204,269615084,152883973,164715957,152883979,152883980,272882769,128802238,128802239,128802256,114905000,100854211,100854210,114904997,128802250,142157033,261238879,128802214,142157004,128802235,114904984,100854202,86873175,86873172,100854200,114904981,114904992,114904993,128802243,141446623,128081367,257771794,105419659,119657128,133531136,146789369,141446626,128081373,128081372,141446625,271527574,128081377,128081376,141446633,154117520,165883948,176537793,166119326,154374484,141727472,128382221,128382220,141727470,141727487,141727488,128382247,114507941,100484231,86525786,86525787 Dl.O(d2) = 43294246,53819253,65887162,76368612,63336111,63336110,76368610,90198272,104353648,118540415,260624424,111902214,97964898,97834672,83973398,70445872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9521560, s2 = 9732820, dlinesl.size( ) = 2 s1 = 9521560, s2 = 9732820, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9521560, Dl.E( ) = 32, 1.69e-05 seconds used appending s1 = 7731356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13794825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355598, s2 = 3510824, int(edited[s2]) = 0 s1 = 10355598, s2 = 3510824, d1 = 10, d2 = 10 Dl.O(d1) = 273165626,167549816,155937791,261306439,116159923 Dl.O(d2) = 273165626,167549816,155937791,261306439,116159923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355598, s2 = 3510824, dlinesl.size( ) = 2 s1 = 10355598, s2 = 3510824, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10355598, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 4346799, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8510037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4347932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4348250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8260471, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7355878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7355878, s2 = 6975325, int(edited[s2]) = 0 s1 = 7355878, s2 = 6975325, d1 = 19, d2 = 21 Dl.O(d1) = 265782448 Dl.O(d2) = 260842062,61824358,71124349,73339294,61824352,50341612,40316317,31628577,24123185,24123184,31628575,40316314,39267618,258829289,100933914,260190814,133180914,119346749,119346748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7355878, s2 = 6975325, dlinesl.size( ) = 30 s1 = 9265439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4349773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10233385, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9212851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9212851, s2 = 1035018, int(edited[s2]) = 0 s1 = 9212851, s2 = 1035018, d1 = 2, d2 = 1 Dl.O(d1) = 116507558,130343933 Dl.O(d2) = 26142783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9212851, s2 = 1035018, dlinesl.size( ) = 36 s1 = 4172746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8218512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4353049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4353049, s2 = 10996496, int(edited[s2]) = 0 s1 = 4353049, s2 = 10996496, d1 = 56, d2 = 62 Dl.O(d1) = 167827571 Dl.O(d2) = 15975322,11089896,11089897,15975327,14361169,14361171,14361136,9868058,9868057,14361132,254314774,10014612,14554445,20284355,27212795,26948740,26948742,35029378,35027737,26947023,20062005,14377815,14377816,15322071,20063696,20040638,14366240,14366238,15491398,10712637,10712636,15491395,21498031,28757362,255324632,39319888,39319886,35019638,26938678,26938679,35019640,44395101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4353049, s2 = 10996496, dlinesl.size( ) = 2 s1 = 4353049, s2 = 10996496, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4353049, Dl.E( ) = 86, 2.41e-05 seconds used appending s1 = 14165324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4353246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4353246, s2 = 960967, int(edited[s2]) = 0 s1 = 4353246, s2 = 960967, d1 = 1, d2 = 9 Dl.O(d1) = 167837622 Dl.O(d2) = 24285337,31799384,28450292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4353246, s2 = 960967, dlinesl.size( ) = 2 s1 = 4353246, s2 = 960967, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4353246, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 13662355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4353382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13656169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9416664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9416664, s2 = 6796252, int(edited[s2]) = 0 s1 = 9416664, s2 = 6796252, d1 = 46, d2 = 51 Dl.O(d1) = 256558019 Dl.O(d2) = 258621508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9416664, s2 = 6796252, dlinesl.size( ) = 18 s1 = 4175837, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10240896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8424788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6936853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6936853, s2 = 6521460, int(edited[s2]) = 0 s1 = 6936853, s2 = 6521460, d1 = 29, d2 = 25 Dl.O(d1) = 260321580,156427195,167990883,169007132 Dl.O(d2) = 10825771,7155183,4506209,2707899,2707902,2708360,2708357,2708590,2708586,2263120,2263124,2263133,2263134,2262867,2262872,3777654,6038421,9221382,13480077,255525396,8357733,12368698,17536656,21533880,15519457,12423464,8396531,7479372,4726855,4726853,7479366,11266912,16207908,22360742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6936853, s2 = 6521460, dlinesl.size( ) = 2 s1 = 6936853, s2 = 6521460, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6936853, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 6721194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6721194, s2 = 9562927, int(edited[s2]) = 0 s1 = 6721194, s2 = 9562927, d1 = 23, d2 = 41 Dl.O(d1) = 257700662,164711553,156684974 Dl.O(d2) = 231793322,230411206,228855924,265615158,265060080,195670738,187691566,187691567,195670740,202497034,264587493,264039130,193703080,262908474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6721194, s2 = 9562927, dlinesl.size( ) = 58 s1 = 9236660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9236660, s2 = 8066437, int(edited[s2]) = 0 s1 = 9236660, s2 = 8066437, d1 = 20, d2 = 0 Dl.O(d1) = 32851736,41772993,52087101,63906355,77017929,73983313,73983312,87583884,85426943,71841083,71841082,257668054,37783316,29221632,21906346,21906347,23976318,256905673,29205579,21892338,15814725,10959438,10959436,15814721,21892327,29205561,37767025,47688326,258095633,71827550,85415529,99358604,113360431,127218913,140564631,153246153,165063710,156784870,144374377,261348547,117340143,261348545,260698128,62460151,258938973,103210253,117340141,131143344,144374375,262390765,262390763 Dl.O(d2) = 117340140,261348541,130016979,116107528,102049978,260132815,130016981,126472404,112603411,98608092,84683183,258667874,47029122,47029121,47029124,37140696,28627441,21389196,21389195,258675243,259317036,64550460,52650876,256874998,30086029,22704170,256430037,48579407,59971197,72708275,86305201,100266976,86305196,86305197,76607689,76607690,79107242,65751103,258469809,93224160,92476622,84366646,70807958,70807959,84366648,77859186,64669323,52754357,42354945,33366159,33366158,42354943,52754355,64669318,71013504,257333696,38205245,38205246,256855359,28553455,28553457,21328451,15356475,10609166,7000254,4399437,2636377,1522479,254224913,4399430,267962701,15356464,21328510,28553626,258044055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9236660, s2 = 8066437, dlinesl.size( ) = 12 s1 = 3765383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659906, s2 = 14303509, int(edited[s2]) = 0 s1 = 11659906, s2 = 14303509, d1 = 1, d2 = 1 Dl.O(d1) = 58420948,254287106,21399080,15699485,10868090,7802845,7802847,6267661,6267665,9127559,5973043,5973042,9127577,13356049,13777921,268505671,53225813,65213548,78501679,92547233,106865842,121133918,129557781,129557782,127667907,113799795,99785878,85832982,72240940,67710946,55371156,44524972,35148423,35148424,31785368,24272538,17892959,12674169,12674170,11844567,11844568,11519837,11519838,16529016,15842796,15842797,11174851,7414133,4684921,4684922,7414137,11174860,15842799,255437185,29250159,37815254,29408994,22078416,255885005,37972638,29568871,22222370,16089650,11174832,7414123,7414122,11174830,16089647,22222364,18897451,13465854,254651681,6028287,9208209,10999894,268218649,29291922,29789179,29789180,38361261,48272090,50515066,59659555,59999351,48607928,48607925,59999369,72736272,64776104,52856402,42452326,42452328,52856412,47959228,38046064,29482698,22144641,16026102,16026099,22144633,28991327,269322541,75430325,89177262,103266567,117395239,113034142,99045556,99045558,89177265,87844544,87844543,98519245,112514297,114922355,114922354,103266618,103266620,117395286,131197979,144428159,156838352,144428153,131197951,131197952,131197955,129978505,117395215,260517826,116151459,102094363,88107698,88107699,102094367,116151475,117395183,117395200,117395304,103266667,89177336,75430377,62511742,50911343,40794219,32036549,32036548,40794215,50911330,62511716,75430333,89177270,103266576,113034139,99045553,99045554,87844551,74239444,74239443,87844548,101818698,260713801,261351527,156838358,168306611,178641934,187775148,195737369,195737370,264298095,264603378,273894017,187371948,178140859,272909369,263144612,74679489,61886313,50395878,268688847,24156528,255196645,8542595,8542596,12570828,12570829,16166884,11234349,11234348,11236180,7457205,7457208,11234337,8509234,5509719,5509718,8509230,5535544,3421009,3421007,5535538,8537563,11235269,16167680,22313256,17849659,17849660,255590483,254874279,5577138,3460143,2051753,1176897,660639,366128,366129,660641,1176899,1169863,1169862,1646241,1646242,2051796,3393777,3416873,3435926,3386441,3377900,1988470,1136145,1136146,1156056,648610,359840,359841,648614,1156018,648589,648588,1156011,2020329,3386871,1995041,1995040,2011201,2011200,3408818,267895871,3455984,3455985,5571780,254813008,254813010,254541246,5967902,5967903,8490104,5491001,5491002,5487272,3378049,267772873,1136196,1988574,3378060,5487281,8302729,5356888,5356887,5495266,3385301,3385292,3385291,3385114,3385113,5487550,3378297,3378296,5487549,3430774,3430775,254606597,1997096,1168506,1168505,2011146,2011156,2011157,3408763,3762222,5516636,3403548,2007175,2007176,254413233,2018667,2018668,3378757,3378756,5488050,8487134,8497910,8573582,7216005,254611829,3431620,3431619,5490195,3380866,3380865,5490194,3390933,1998194,267801401,1149866,1149867,2010783,3408307,254413849,3408283,2016686,1153677,1153674,2004212,1145651,1145652,1143597,1143598,1151461,1151463,2013274,2014536,2014538,3413355,5508722,3400706,3400703,2005186,254277081,254419587,2048631,254139561,365537,199907,199909,365543,659525,1174849,2048678,3455986,254193163,1174807,1936523,1106121,620648,620647,1106119,1936519,3292746,5356870,8302700,12293019,254846085,8302702,8302701,255170075,23767364,31251823,39927255,49944894,61422791,74201387,87804838,81299849,67833926,258544575,55492482,44642357,256233023,20247065,14529097,9997483,6570537,4116052,4116053,6570542,9997495,14529111,20247089,21350666,268382461,20247033,268341353,14529170,14529169,20247165,27158940,35257992,44542993,44642361,44642419,44642420,35257941,27158898,27158897,20247329,20247330,20247254,20247253,27159049,35258137,44642438,35257908,35257907 Dl.O(d2) = 58420948,254287106,21399080,15699485,10868090,7802845,7802847,6267661,6267665,9127559,5973043,5973042,9127577,13356049,13777921,268505671,53225813,65213548,78501679,92547233,106865842,121133918,129557781,129557782,127667907,113799795,99785878,85832982,72240940,67710946,55371156,44524972,35148423,35148424,31785368,24272538,17892959,12674169,12674170,11844567,11844568,11519837,11519838,16529016,15842796,15842797,11174851,7414133,4684921,4684922,7414137,11174860,15842799,255437185,29250159,37815254,29408994,22078416,255885005,37972638,29568871,22222370,16089650,11174832,7414123,7414122,11174830,16089647,22222364,18897451,13465854,254651681,6028287,9208209,10999894,268218649,29291922,29789179,29789180,38361261,48272090,50515066,59659555,59999351,48607928,48607925,59999369,72736272,64776104,52856402,42452326,42452328,52856412,47959228,38046064,29482698,22144641,16026102,16026099,22144633,28991327,269322541,75430325,89177262,103266567,117395239,113034142,99045556,99045558,89177265,87844544,87844543,98519245,112514297,114922355,114922354,103266618,103266620,117395286,131197979,144428159,156838352,144428153,131197951,131197952,131197955,129978505,117395215,260517826,116151459,102094363,88107698,88107699,102094367,116151475,117395183,117395200,117395304,103266667,89177336,75430377,62511742,50911343,40794219,32036549,32036548,40794215,50911330,62511716,75430333,89177270,103266576,113034139,99045553,99045554,87844551,74239444,74239443,87844548,101818698,260713801,261351527,156838358,168306611,178641934,187775148,195737369,195737370,264298095,264603378,273894017,187371948,178140859,272909369,263144612,74679489,61886313,50395878,268688847,24156528,255196645,8542595,8542596,12570828,12570829,16166884,11234349,11234348,11236180,7457205,7457208,11234337,8509234,5509719,5509718,8509230,5535544,3421009,3421007,5535538,8537563,11235269,16167680,22313256,17849659,17849660,255590483,254874279,5577138,3460143,2051753,1176897,660639,366128,366129,660641,1176899,1169863,1169862,1646241,1646242,2051796,3393777,3416873,3435926,3386441,3377900,1988470,1136145,1136146,1156056,648610,359840,359841,648614,1156018,648589,648588,1156011,2020329,3386871,1995041,1995040,2011201,2011200,3408818,267895871,3455984,3455985,5571780,254813008,254813010,254541246,5967902,5967903,8490104,5491001,5491002,5487272,3378049,267772873,1136196,1988574,3378060,5487281,8302729,5356888,5356887,5495266,3385301,3385292,3385291,3385114,3385113,5487550,3378297,3378296,5487549,3430774,3430775,254606597,1997096,1168506,1168505,2011146,2011156,2011157,3408763,3762222,5516636,3403548,2007175,2007176,254413233,2018667,2018668,3378757,3378756,5488050,8487134,8497910,8573582,7216005,254611829,3431620,3431619,5490195,3380866,3380865,5490194,3390933,1998194,267801401,1149866,1149867,2010783,3408307,254413849,3408283,2016686,1153677,1153674,2004212,1145651,1145652,1143597,1143598,1151461,1151463,2013274,2014536,2014538,3413355,5508722,3400706,3400703,2005186,254277081,254419587,2048631,254139561,365537,199907,199909,365543,659525,1174849,2048678,3455986,254193163,1174807,1936523,1106121,620648,620647,1106119,1936519,3292746,5356870,8302700,12293019,254846085,8302702,8302701,255170075,23767364,31251823,39927255,49944894,61422791,74201387,87804838,81299849,67833926,258544575,55492482,44642357,256233023,20247065,14529097,9997483,6570537,4116052,4116053,6570542,9997495,14529111,20247089,21350666,268382461,20247033,268341353,14529170,14529169,20247165,27158940,35257992,44542993,44642361,44642419,44642420,35257941,27158898,27158897,20247329,20247330,20247254,20247253,27159049,35258137,44642438,35257908,35257907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659906, s2 = 14303509, dlinesl.size( ) = 2 s1 = 11659906, s2 = 14303509, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11659906, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 8590835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8590835, s2 = 9668707, int(edited[s2]) = 0 s1 = 8590835, s2 = 9668707, d1 = 17, d2 = 21 Dl.O(d1) = 61489397,64189621,64189622,259645985,260858473,260421330,109467719,105742337,105742338,112858327,105742336,91518803,84944535,259669490,40384429,258910835,98436448,84514918,84514919,88686238,75035537,70951415,268913650,36987878,32036788,268270451,12798473,12798474,257121035,269916107,260184469,261351553,156838463 Dl.O(d2) = 187775219,195737451,202552241,274397872,265264285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8590835, s2 = 9668707, dlinesl.size( ) = 14 s1 = 4178937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4178937, s2 = 13633695, int(edited[s2]) = 0 s1 = 4178937, s2 = 13633695, d1 = 0, d2 = 0 Dl.O(d1) = 144492463,156902179,168364385,178688308,187808171,192084740,199435077,199435068,192084736,192084737,199435071,199435124,192084779,183543258,173775708,162777894,260258730,173775693,173775692,183543243,192084766,199435110,205654586,199435117,199435116,205654610,262459290,199435095,205654597,205654600,210799814,215002214,210799812,262459292,199435096,205654597,205654600,210799814,215002214,210799812,262459292,192084754,261959424,205654596,199435113,261422986,260258726,150685093,150685092,162777882,173775688,183543238,192084758,199435103,205654601,210799810,205654612 Dl.O(d2) = 144492463,156902179,168364385,178688308,187808171,192084740,199435077,199435068,192084736,192084737,199435071,199435124,192084779,183543258,173775708,162777894,260258730,173775693,173775692,183543243,192084766,199435110,205654586,199435117,199435116,205654610,262459290,199435095,205654597,205654600,210799814,215002214,210799812,262459292,199435096,205654597,205654600,210799814,215002214,210799812,262459292,192084754,261959424,205654596,199435113,261422986,260258726,150685093,150685092,162777882,173775688,183543238,192084758,199435103,205654601,210799810,205654612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4178937, s2 = 13633695, dlinesl.size( ) = 2 s1 = 4178937, s2 = 13633695, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4178937, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11659544, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10162987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4179842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8628368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1614041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8306826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7014598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7014598, s2 = 13585446, int(edited[s2]) = 0 s1 = 7014598, s2 = 13585446, d1 = 21, d2 = 28 Dl.O(d1) = 261362779 Dl.O(d2) = 113082201,113082198,99094838,85172917,85172916,99094836,85172918,71608026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7014598, s2 = 13585446, dlinesl.size( ) = 24 s1 = 4360514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7014711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7586403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8560890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8580064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8712707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8712707, s2 = 3987814, int(edited[s2]) = 0 s1 = 8712707, s2 = 3987814, d1 = 1, d2 = 6 Dl.O(d1) = 162660105 Dl.O(d2) = 263808465,196041005,188141384,179076880,168798209,157359861,144946751,131698690,117871667,103718097,89603041,75820938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712707, s2 = 3987814, dlinesl.size( ) = 2 s1 = 8712707, s2 = 3987814, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8712707, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 4362481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4362481, s2 = 12970978, int(edited[s2]) = 0 s1 = 4362481, s2 = 12970978, d1 = 72, d2 = 4 Dl.O(d1) = 168962590 Dl.O(d2) = 25728948,25728949,33507356,42506246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4362481, s2 = 12970978, dlinesl.size( ) = 2 s1 = 4362481, s2 = 12970978, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4362481, Dl.E( ) = 238, 5.98e-05 seconds used appending s1 = 14092157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 492665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 492665, s2 = 14165835, int(edited[s2]) = 0 s1 = 492665, s2 = 14165835, d1 = 1, d2 = 1 Dl.O(d1) = 21308666,15338905,10594432,6989142,4391977,2631575,2631578,4391981,6989152,6989077,4391944,2631554,1519546,1519545,2631551,254497841,2631569,1519553,1519552,2631564,4391962,6989107,10594381,11858911,15340043,15340041,15338849,15338848,255523659,21309390,15339520,255395483,21309800,15339883,15338865,10594396,10594397,15338866,10594858,6989436,6989437,6989126,4391970,4391969,6989122,10594399,15338871,21308757,28531404,256853355,37029564,28531402,21308754,21308753,15340110,10595466,6989881,4392436,4392437,254729327,15340117,11810781,7889222,5010530,5010529,6989921,6989919,10595510,10594789,6989385,4392135,4392134,6989381,10594281,6989026,4391913,4391914,254729221,10595485,10595484,15340126,21310055,28531306,21310078,15340148,15340147,21310074,24696242,268129172,12928222,18226990,15340112,15340113,21310049,28532057,268714204,15339362,15339361,15339363,12928204,12928202,10594951,10594952,15339540,21308608,28531240,255621072,15340873,10596159,10596158,15339531,15339532,21309403,28532065,28531971,28531972,256078008,28533219,21310760,267922166,12928224,18226992,24696245,32309501,41122551,256078010,32309500,32309499,41122549,51305274,51305277,51305276,41370639,32521870,32521869,254883562,28532672,37030734,32519253,24876346,18378510,13052931,8892578,5800966,3617934,2160461,2160458,2160318,2160315,1282841,1250106,710645,710644,1250102,1283577,2161381,254109090,13055255,18380665,24878584,32521874,41370641,51582916,41361660,255231824,18375377,254619334,5798796,5798797,8889782,13050017,17712755,12529764,12529752,12529753,17712740,24068662,256539921,24068671,24068670,17712775,12529775,12529774,13050020,18375389,24872838,31574131,24068641,256033681,40261133,40403046,31710939,31710938,256559600,256410011,22436855,22436854,256410009,256952211,255913045,255192125,12529749,17712731,12529771,8490967,5491678,3382136,3382135,5491675,8490961,12529758,17712747,24068674,29802765,24068700,18375386,16269546,254779361,7511164,11312637,16269550,22436849,24068729,17833651,17833650,24203274,17833654,17833653,24203277,28531788,24068638,17712709,12529732,268116433,15340860,21310694,28533212,31574168,24068688,24068645,24068644,268923586,12529762,8490970,5491679,3382138,1991629,1991630,3382141,5491683,268002245,17712777,24068663,22436852,16269556,11312639,7511166,4748004,4748005,7511168,11312642,16269562,17712800,17712799,24068731,28531736,21309060,21309059,22436861,22436860,24872842,32514828,31574126,31574125,37031179,28533213,21310697,21310698,28533215,30673776,39270038,40261308,31574338,24068871,17712942,12529915,8491071,5491753,254275435,267801193,5491749,8491062,12529903,17712924,24068852,29743554,38312243,41790231,39127750,37031240,28533288,24068740,17712806,12529801,8490992,5491695,3382147,3382146,5491692,8490988,12529795,17712797,15709900,15709899,21766827,29062696,255525886,256473648,85180459,99101890,112758465,98768574,84841497,71267429,58535720,58535719,71267427,84841496,258829516,117975038,260804445,145062566,157498071,168963075,168963074,179252118,188305909,196191211,202937903,208592499,264240336,200313290,200313288,193143278,184789215,175221568,175221567,164440354,164440355,164440356,175221572,184789219,193143282,200313292,206369455,264727983,265173517,224164581,224164582,224588456,224588457,226667814,228479710,230072047,274635554,266339341,235889702,236755857,237545044,237316456,236503819,235613373,234636161,233564167,232385363,231081357,229627846,227991859,226129703,223991286,221523145,218643652,215222502,211069164,205987230,199839918,192567403,184116253,174466990,163630426,163630425,163630423,151755121,139053067,125714043,111896444,97958830,97958829,105390014,259010735,52254125,256625591,18682376,13289553,9072330,254910641,18682375,256110829,41916044,52254122,41916043,41916044,52254124,64102818,64102823,77249409,91167857,105390028,119626493,133498288,133498289,133498290,272694487,262916309,189515954,197211475,203775518,209004750 Dl.O(d2) = 21308666,15338905,10594432,6989142,4391977,2631575,2631578,4391981,6989152,6989077,4391944,2631554,1519546,1519545,2631551,254497841,2631569,1519553,1519552,2631564,4391962,6989107,10594381,11858911,15340043,15340041,15338849,15338848,255523659,21309390,15339520,255395483,21309800,15339883,15338865,10594396,10594397,15338866,10594858,6989436,6989437,6989126,4391970,4391969,6989122,10594399,15338871,21308757,28531404,256853355,37029564,28531402,21308754,21308753,15340110,10595466,6989881,4392436,4392437,254729327,15340117,11810781,7889222,5010530,5010529,6989921,6989919,10595510,10594789,6989385,4392135,4392134,6989381,10594281,6989026,4391913,4391914,254729221,10595485,10595484,15340126,21310055,28531306,21310078,15340148,15340147,21310074,24696242,268129172,12928222,18226990,15340112,15340113,21310049,28532057,268714204,15339362,15339361,15339363,12928204,12928202,10594951,10594952,15339540,21308608,28531240,255621072,15340873,10596159,10596158,15339531,15339532,21309403,28532065,28531971,28531972,256078008,28533219,21310760,267922166,12928224,18226992,24696245,32309501,41122551,256078010,32309500,32309499,41122549,51305274,51305277,51305276,41370639,32521870,32521869,254883562,28532672,37030734,32519253,24876346,18378510,13052931,8892578,5800966,3617934,2160461,2160458,2160318,2160315,1282841,1250106,710645,710644,1250102,1283577,2161381,254109090,13055255,18380665,24878584,32521874,41370641,51582916,41361660,255231824,18375377,254619334,5798796,5798797,8889782,13050017,17712755,12529764,12529752,12529753,17712740,24068662,256539921,24068671,24068670,17712775,12529775,12529774,13050020,18375389,24872838,31574131,24068641,256033681,40261133,40403046,31710939,31710938,256559600,256410011,22436855,22436854,256410009,256952211,255913045,255192125,12529749,17712731,12529771,8490967,5491678,3382136,3382135,5491675,8490961,12529758,17712747,24068674,29802765,24068700,18375386,16269546,254779361,7511164,11312637,16269550,22436849,24068729,17833651,17833650,24203274,17833654,17833653,24203277,28531788,24068638,17712709,12529732,268116433,15340860,21310694,28533212,31574168,24068688,24068645,24068644,268923586,12529762,8490970,5491679,3382138,1991629,1991630,3382141,5491683,268002245,17712777,24068663,22436852,16269556,11312639,7511166,4748004,4748005,7511168,11312642,16269562,17712800,17712799,24068731,28531736,21309060,21309059,22436861,22436860,24872842,32514828,31574126,31574125,37031179,28533213,21310697,21310698,28533215,30673776,39270038,40261308,31574338,24068871,17712942,12529915,8491071,5491753,254275435,267801193,5491749,8491062,12529903,17712924,24068852,29743554,38312243,41790231,39127750,37031240,28533288,24068740,17712806,12529801,8490992,5491695,3382147,3382146,5491692,8490988,12529795,17712797,15709900,15709899,21766827,29062696,255525886,256473648,85180459,99101890,112758465,98768574,84841497,71267429,58535720,58535719,71267427,84841496,258829516,117975038,260804445,145062566,157498071,168963075,168963074,179252118,188305909,196191211,202937903,208592499,264240336,200313290,200313288,193143278,184789215,175221568,175221567,164440354,164440355,164440356,175221572,184789219,193143282,200313292,206369455,264727983,265173517,224164581,224164582,224588456,224588457,226667814,228479710,230072047,274635554,266339341,235889702,236755857,237545044,237316456,236503819,235613373,234636161,233564167,232385363,231081357,229627846,227991859,226129703,223991286,221523145,218643652,215222502,211069164,205987230,199839918,192567403,184116253,174466990,163630426,163630425,163630423,151755121,139053067,125714043,111896444,97958830,97958829,105390014,259010735,52254125,256625591,18682376,13289553,9072330,254910641,18682375,256110829,41916044,52254122,41916043,41916044,52254124,64102818,64102823,77249409,91167857,105390028,119626493,133498288,133498289,133498290,272694487,262916309,189515954,197211475,203775518,209004750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 492665, s2 = 14165835, dlinesl.size( ) = 2 s1 = 492665, s2 = 14165835, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 492665, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 8430524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13809743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8554725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4185095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8686737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4364478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9571810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7139552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6669860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4187734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7016017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4366330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6828218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8687201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8687201, s2 = 7996793, int(edited[s2]) = 0 s1 = 8687201, s2 = 7996793, d1 = 8, d2 = 5 Dl.O(d1) = 140193326,152884519,261409784,261946536,260841150,179714380,261409786,169490978,179714380,261409782,158083205,145683389,145683388,260841148,145683385,132438648,259628318,271975026 Dl.O(d2) = 13222281,9014191,9014187,13222292,13223239,13223236,18605238,25163036,32870422,40975456,32195436,32195433,39927860,49945455,61423352,74202000,87805453,101777937,105303395,91089491,91089492,91089487,257732838,77181554,71499788,71499789,85071808,98997366,106865951,104680929,90517849,76657413,63572948,51788794,41512460,32628087,28934457,21656653,15621502,10808540,10808541,8896872,5805279,3684206,2205436,2205435,3684177,5788317,3608812,254144092,254433894,11733873,7834087,4972843,4972845,7834091,8855826,5771917,5771918,8855832,13007705,16442105,16442104,22628230,29997056,255651332,18705427,18705428,255651334,256628386,257140909,24692366,18224093,18224092,24692365,24692387,18224107,18224106,24692391,256589001,47051763,41808741,256108297,13233967,255245679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8687201, s2 = 7996793, dlinesl.size( ) = 8 s1 = 4189118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4189118, s2 = 11105992, int(edited[s2]) = 0 s1 = 4189118, s2 = 11105992, d1 = 3, d2 = 90 Dl.O(d1) = 158084580 Dl.O(d2) = 172471985,262095446,148966076,161271863,172471983,161271861,161271862,161271864,161271866,161271861,161271862,161271864,148966079,148966074,135726677,121786277,121786278,135726674,121786275,107401927,107401928,121786274,107401924,107401923,121786273,107401924,92991665,78880049,65544932,53520772,43042292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4189118, s2 = 11105992, dlinesl.size( ) = 22 s1 = 4368163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4368282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4368282, s2 = 11312504, int(edited[s2]) = 0 s1 = 4368282, s2 = 11312504, d1 = 43, d2 = 87 Dl.O(d1) = 169604396 Dl.O(d2) = 263348594,193944720,262326422 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10253779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7072401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7072401, s2 = 6904739, int(edited[s2]) = 0 s1 = 7072401, s2 = 6904739, d1 = 1, d2 = 1 Dl.O(d1) = 273919471,263107870,189104345,263107870,262184526,158626776,158626777,169989234,273438435,261666600,146252579,259937424,104988749,258067398,25085619,269786766 Dl.O(d2) = 273919471,263107870,189104345,263107870,262184526,158626776,158626777,169989234,273438435,261666600,146252579,259937424,104988749,258067398,25085619,269786766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7072401, s2 = 6904739, dlinesl.size( ) = 2 s1 = 7072401, s2 = 6904739, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7072401, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9564276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9564276, s2 = 7098331, int(edited[s2]) = 0 s1 = 9564276, s2 = 7098331, d1 = 12, d2 = 8 Dl.O(d1) = 260689587,261809019,165145894,165145895,175867077,262491618,273860589,189116047,180173435,170006527,158647716,146279140,133051458,261411973 Dl.O(d2) = 262557764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9564276, s2 = 7098331, dlinesl.size( ) = 14 s1 = 9337720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13499729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9502982, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7013643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7013643, s2 = 10203534, int(edited[s2]) = 0 s1 = 7013643, s2 = 10203534, d1 = 11, d2 = 22 Dl.O(d1) = 261344986 Dl.O(d2) = 272205192,52333759,41994563,33051161,33051162,41994564,52333761,64183951,77331222,91250935,77331229,77331228,260262047,133586547,133586546,146843824,261962477,133586551,119712258,105473088,91250937,77331226,64183957,64183956,259018077,77331220,77331222,91250935,77331229,77331228,260262047,133586547,133586546,146843824,261962477,133586549,133586548,146843828,146843826,133586540,119712251,259645465,77331229,77331228,260262047,133586547,133586546,260857937,271026987,77331215,77331214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14165154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165154, s2 = 14165777, int(edited[s2]) = 0 s1 = 14165154, s2 = 14165777, d1 = 28, d2 = 27 Dl.O(d1) = 261912624,137379509,260206620,95201566,81144786,67678929,55339389,44493374,35116370,27029740,20137136,14443165,9935680,9935679,14443163,20137135,16752885,11706601,7809212,254081500,1735881,1735882,2160331,2160330,1282842,1282839,1282841,1250106,710645,710643,1250099,1283565,2211110,3693110,5909447,254429582,25203970,32917410,41845277,52167601,63997700,77124031,91022211,105223466,119438222,133287341,146524950 Dl.O(d2) = 4751549,7516350,7517364,4753927,4753925,7517956,7519000,7519001,4754138,2865274,2865273,4753477,4753661,4751856,2863849,2863848,4751850,4547667,4547668,4752799,4752801,4754234,4548137,2734022,1584227,1584226,2734020,2864833,4548105,2733995,2733996,4548108,7218539,4752217,2864073,1662856,1662857,2865012,4753746,7519313,7519554,4753977,4753978,4753980,7519230,7519316,7288328,7288329,7518466,4753049,4753048,7518464,11322182,15760248,16280419,15901147,15901146,12022266,8082580,5178626,3159689,2864260,1662441,945892,945891,267790889,4752526,4753469,7218409,7218410,7518345,11322068,11009963,7288424,4596148,2764964,2764963,4596146,4752854,2864434,1662525,1662523,2864430,4752849,7218653,7218652,7518527,11009937,268087889,7517785,7517786,7518517,7518518,11322223,16281035,22450278,29817877,29817876,29817875,30443922,23036455,23036458,22450467,16281225,16278625,11319536,7516150,4751434,4751435,7516159,11319557,16278661,22448377,29816303,33630459,33630460,38532876,38532875,48441278,59827377,72562796,86160955,77329724,64182426,52332278,41993025,41993024,39216632,30619511,23198074,16929394,16929393,23198069,30619500,39216616,49143280,41992995,33049631,33049633,41992998,52332243,52888463,48806574,48806575,49037814,49037815,43020575,33962979,33962976,29959600,29959601,38524933,48432851,59818886,65525566,268148722,33962982,33962983,43020584,52046274,63865728,73286378,60542920,60542919,73188793,60441808,58624364,58265733,58265734,70981119,59818856,48432832,38524917,29959595,29959594,30619496,23198064,23198063,30619491,33486466,33486467,42482244,52888837,64810070,73286447,60543033,60543032,73188734,60441805,60441803,52888780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165154, s2 = 14165777, dlinesl.size( ) = 2 s1 = 14165154, s2 = 14165777, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165154, Dl.E( ) = 32, 3.22e-05 seconds used appending s1 = 4373555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7181682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4374136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4374136, s2 = 11029146, int(edited[s2]) = 0 s1 = 4374136, s2 = 11029146, d1 = 12, d2 = 40 Dl.O(d1) = 170399843 Dl.O(d2) = 42750255,33721104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4374136, s2 = 11029146, dlinesl.size( ) = 2 s1 = 4374136, s2 = 11029146, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4374136, Dl.E( ) = 64, 1.69e-05 seconds used appending s1 = 4197261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10235316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4198249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6983535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6983535, s2 = 8814211, int(edited[s2]) = 0 s1 = 6983535, s2 = 8814211, d1 = 85, d2 = 87 Dl.O(d1) = 260954866,41950856,33008573,271025933 Dl.O(d2) = 220542226,265470119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8045937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8045937, s2 = 11048266, int(edited[s2]) = 0 s1 = 8045937, s2 = 11048266, d1 = 34, d2 = 25 Dl.O(d1) = 255788192,13636531,13284146,9067492,9067494,6603430,6603432,6753026,10275764,14940658,14940657,254155596,24653420,24653421,22372958,22372956,22374226,16218729,13205906,9003436,5877851,3669688,3669683,5877879,5877967,4729577,2849519,1653277,1653275,2849496,4729514,7483894,7253673,7253675,10959043,7626382,7626381,11465683,16455939,22646676,25078335,25078334,254241358,21468601,254168522,7682938,7086791,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,19818700,16415011,16415008,22598034,23461735,27958570,20796972,20796512,14903642,14094431,14094432,19662936,254545546,39706722,31029676,23548608,17240823,12123939,12123938,14244769,19881091,26702042,26684296,22752321,18729847,18729848,14246226,14246227,19882997,16363394,11387464,7565348,7565347,11387458,16363364,11387447,11387445,16363355,14228093,14228094,17451092,12301739,12301737,9789926,9789925,14241299,19876773,26679035,19861405,255731361,26697174,19876715,14241262,14241261,18729777,256116161,257775217,261424915,159200523,262921435 Dl.O(d2) = 97910665,111844672,125660703,138999808,151704288,151704289,262620615,163583740,151704290,138999810,125660705,111844674,97910666,84040127,70505114,70505115,259260341,111844678,125660702,111844670,259260339,70505114,260466272,6817967,10353466,9101077,9101078,12660512,9077118,6832428,6832429,10370317,15043122,13323193,13323191,18126827,254593372,23303350,30720791,39319140,39319142,30720796,23303353,17042843,255529017,28598587,35322228,35322230,37114340,37114338,46936739,37058317,32528850,24884856,18386078,18386079,24884859,23303358,23303357,28604971,21371068,15390706,10636406,10636405,15390700,21371057,21428150,21428151,28676459,29152713,21844184,20852287,20852286,21332630,17042829,11956070,11956071,17042832,23303338,23303321,21331849,15449771,10681997,7056317,7056318,10681998,15449775,255836175,37223906,257821721,25819624,19169442,255685458,6141213,9374670,13688828,13747212,13747213,19241094,13918705,13918706,19238654,13745111,13745110,14077733,13745071,9417384,9417382,6171383,3861589,2313396,2313394,3861562,3861563,2313563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8045937, s2 = 11048266, dlinesl.size( ) = 2 s1 = 8045937, s2 = 11048266, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8045937, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 8628977, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13661807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13661807, s2 = 11749493, int(edited[s2]) = 0 s1 = 13661807, s2 = 11749493, d1 = 0, d2 = 0 Dl.O(d1) = 146843921,159216784,170554646,170554647,170554648,180685922 Dl.O(d2) = 146843921,159216784,170554646,170554647,170554648,180685922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13661807, s2 = 11749493, dlinesl.size( ) = 2 s1 = 13661807, s2 = 11749493, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13661807, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 4377552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4377552, s2 = 7274640, int(edited[s2]) = 0 s1 = 4377552, s2 = 7274640, d1 = 32, d2 = 49 Dl.O(d1) = 170562309 Dl.O(d2) = 264848852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4377552, s2 = 7274640, dlinesl.size( ) = 34 s1 = 4377843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4378091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4378414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4315497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4378855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4378855, s2 = 15175039, int(edited[s2]) = 0 s1 = 4378855, s2 = 15175039, d1 = 18, d2 = 17 Dl.O(d1) = 180724083,170594750,159259541,146888758,146888757,142243178,142243179,128892038,128891998,128891996,128892028,142243169,146888787,133635770,119766053,119766054,133635771,146888772,133635752,119766031,105532657,105532658,260862485,271530677,159259547,159259543,146888769,146888768 Dl.O(d2) = 261430599,133635743,142243137,128892000,128891999,142243135,154876807,159259555,159259553,159259552,262466025,159259550,159259546,146888761,142243142,128892002,114990209,100936259,260070047,128892014,119766022,105532649,91314674,91314675,105532651,119766025,119766059,133635767,133635766,133635740,133635741,142243142,128892002,114990209,100936263,86952886,73341580,73341579,259453573,260669333,142243163,154876812,261790177,128891993,114990195,114990196,114990233,100936271,260070049,114990215,100936264,86952886,73341580,73341578,259453571,114990211,128892016,142243162,154876813,146888776,133635754,119766036,105532670,105532669,260862487,146888774,159259551,166577641,154876821,142243178,128892036,128891994,114990233,114990201,114990200,128891999,142243135,154876807,159259555,159259553,159259552,262466025,159259550,159259546,146888761,142243142,142243141,146888771,133635751,133635750,142243139,142243140,133635753,119766036,105532670,91314692,91314693,260862489,146888778,272240819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4378855, s2 = 15175039, dlinesl.size( ) = 2 s1 = 4378855, s2 = 15175039, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4378855, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 9030489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4202533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9712878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9712878, s2 = 16361113, int(edited[s2]) = 0 s1 = 9712878, s2 = 16361113, d1 = 35, d2 = 29 Dl.O(d1) = 268969340,47224337,37315536,28779893,28779892,36984851,46863399,58231428,58617582,47224342,37315540,37315541,36608885,28135046,20956999,15048077,15048076,20956996,18394531,13065355,13065354,18394530,256090349 Dl.O(d2) = 25882257,25882196,25882195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9712878, s2 = 16361113, dlinesl.size( ) = 2 s1 = 9712878, s2 = 16361113, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9712878, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 4379506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4379591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4379591, s2 = 7276527, int(edited[s2]) = 0 s1 = 4379591, s2 = 7276527, d1 = 10, d2 = 19 Dl.O(d1) = 170645551 Dl.O(d2) = 264871377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4379591, s2 = 7276527, dlinesl.size( ) = 18 s1 = 10170075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4203487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8518509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4204380, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4204524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4381169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3797650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4205525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4205525, s2 = 11149690, int(edited[s2]) = 0 s1 = 4205525, s2 = 11149690, d1 = 47, d2 = 92 Dl.O(d1) = 159461151 Dl.O(d2) = 257709376,268271482,24508108,24508109,32082129,32081404,256573865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4205525, s2 = 11149690, dlinesl.size( ) = 58 s1 = 4382167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4382167, s2 = 9684628, int(edited[s2]) = 0 s1 = 4382167, s2 = 9684628, d1 = 18, d2 = 9 Dl.O(d1) = 175844956,170806270 Dl.O(d2) = 13837851,9713676,9713679,14118735,14118893,14118892,19691590,26429284,30115595,30115596,38691484,41743235,32822249,32822248,255644207,18567267,25118165,32822251,41743237,254639632 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4205824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4205824, s2 = 1516225, int(edited[s2]) = 0 s1 = 4205824, s2 = 1516225, d1 = 36, d2 = 66 Dl.O(d1) = 159468735 Dl.O(d2) = 38615227,30041332,22666088,22666087,30041151,29254001,21932987,21932986,29253998,37819300,255294458,46684607,46684606,36915658,28417865,21195673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4205824, s2 = 1516225, dlinesl.size( ) = 30 s1 = 13600349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13600349, s2 = 7676462, int(edited[s2]) = 0 s1 = 13600349, s2 = 7676462, d1 = 40, d2 = 66 Dl.O(d1) = 147143042 Dl.O(d2) = 272187856 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8460661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4383382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3305601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3305601, s2 = 5430554, int(edited[s2]) = 0 s1 = 3305601, s2 = 5430554, d1 = 30, d2 = 73 Dl.O(d1) = 105887272,120098857,261445615 Dl.O(d2) = 224327812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9664592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13645573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4207993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4207993, s2 = 13795014, int(edited[s2]) = 0 s1 = 4207993, s2 = 13795014, d1 = 0, d2 = 15 Dl.O(d1) = 159535975 Dl.O(d2) = 274424871,222649397,265475586,222649398,265608255,222649400,219925678,216697874,212803488,208039812,202262143,195390727,187354215,178121651,167662356,156056804,143520483,130190916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4207993, s2 = 13795014, dlinesl.size( ) = 2 s1 = 4207993, s2 = 13795014, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4207993, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 4208348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9739592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8475959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8475959, s2 = 4817148, int(edited[s2]) = 0 s1 = 8475959, s2 = 4817148, d1 = 148, d2 = 44 Dl.O(d1) = 105930064,120142174,261449395,159565591,170893455 Dl.O(d2) = 197482824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8475959, s2 = 4817148, dlinesl.size( ) = 54 s1 = 4209331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4209331, s2 = 5062036, int(edited[s2]) = 0 s1 = 4209331, s2 = 5062036, d1 = 0, d2 = 47 Dl.O(d1) = 159568119 Dl.O(d2) = 263728066,210515636,205330062,199066291,199066290,199066300,205330068,199066302,199066301,197545101,197545100,191661718,191661719,199066312,205330051,205330063,199066328,191661736,183051143,262941718,199066326,205330081,210515651,264879594,214752751,210515638,205330054,205330053,210515634,273791684,199066323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343133, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4386082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4386384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4386384, s2 = 11266746, int(edited[s2]) = 0 s1 = 4386384, s2 = 11266746, d1 = 99, d2 = 73 Dl.O(d1) = 170930128,159605584,147250352,260885959,105999391,91804288 Dl.O(d2) = 44790120,255316408,81584703,95618760,109632283,95618756,81584698,255316406,55697414,68094877,81584696,95618751,109823700,257887744,146289922,133062317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4386384, s2 = 11266746, dlinesl.size( ) = 2 s1 = 4386384, s2 = 11266746, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4386384, Dl.E( ) = 100, 3.19e-05 seconds used appending s1 = 6961381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4211133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8448876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8448876, s2 = 7186124, int(edited[s2]) = 0 s1 = 8448876, s2 = 7186124, d1 = 33, d2 = 24 Dl.O(d1) = 257483624,120254455,260562310 Dl.O(d2) = 263731309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8448876, s2 = 7186124, dlinesl.size( ) = 36 s1 = 7605786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7605786, s2 = 8356628, int(edited[s2]) = 0 s1 = 7605786, s2 = 8356628, d1 = 65, d2 = 37 Dl.O(d1) = 269090103,159684256,162516675,168956344,162132008,260991200 Dl.O(d2) = 260034562,80160445,94230815,94413611,257561066,48590286,48590285,59982326,254995778,46431054,36878758,28382451,25472033,20921177,20921178,28095999,36566587,46430917,57785979,59569792,255805164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7605786, s2 = 8356628, dlinesl.size( ) = 2 s1 = 7605786, s2 = 8356628, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7605786, Dl.E( ) = 66, 3.7e-05 seconds used appending s1 = 4388092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4212552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4212552, s2 = 13664343, int(edited[s2]) = 0 s1 = 4212552, s2 = 13664343, d1 = 21, d2 = 19 Dl.O(d1) = 159694934,159694935,171009926,181114777,171440607,160221882,262503597,181457969,190250976,197841173,264069548,190250985 Dl.O(d2) = 121049234,260911033,147970659,147346728,261992505,159694938,147346730,134134462,120303742,106103632,91909023,77985258,77985257,91909021,106103629,120303721,134134438,120303743,120303744,134134464,121049226,121049225,120303742,120303741,134134461,262489745,159694923,147346708,134134432,120303714,120303715,134134433,147346711,262489741,147346698,134134437,120303719,106103606,91909009,77985249,64791630,52872822,52872821,64791629,77985247,91909007,106103602,120303708,134134426,147346704,147346700,134134421,120303704,120303703,120303702,134134419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4212552, s2 = 13664343, dlinesl.size( ) = 2 s1 = 4212552, s2 = 13664343, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4212552, Dl.E( ) = 22, 5.01e-06 seconds used appending s1 = 8671701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2720056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9562492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8434791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8434791, s2 = 12268740, int(edited[s2]) = 0 s1 = 8434791, s2 = 12268740, d1 = 49, d2 = 53 Dl.O(d1) = 94399507,94399508,108686446,260972873,262069315,173228184,171264889,160028472,147764688 Dl.O(d2) = 147764685,134634012,134634013,263365741,197727007,197727005,263365739,262964050,106588498,92290223,78263188,64989612,257225393,268763358,13657719,13657720,13657737,13635564,13635562,19098525,24730775,18257874,12954556,8815164,8815165,8666210,8085237,5180471,5180472,8085242,12026173,17113382,21159775,15203700,10486967,10486966,8085309,8085307,12026293,16197252,16197253,15203870,15203872,13062999,8901485,5808586,5808587,8901487,13063007,18390780,256602909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8434791, s2 = 12268740, dlinesl.size( ) = 50 s1 = 10246227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10246227, s2 = 6679746, int(edited[s2]) = 0 s1 = 10246227, s2 = 6679746, d1 = 85, d2 = 115 Dl.O(d1) = 263832633,263398420,171266512 Dl.O(d2) = 257249778,25770223,25770222,19130285,13659316,9353550 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7021803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8631519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8631519, s2 = 4325412, int(edited[s2]) = 0 s1 = 8631519, s2 = 4325412, d1 = 13, d2 = 22 Dl.O(d1) = 92301898,106599872,120848724,134646803,147778139,160041987,160042002,170031846,158674603,158674604,170031847,171278266,160042000,160041999,147778153,147778155,262954011,171278261,160041996,160041997,147778156,134646812,120848727,106599871,106599872,120848724,134646803,147778139,160041987,160042002,170031846,158674603,158674604,170031847,171278266,171278267,171278278,171278276,171278272,171278273,180196765,189137266,189137267,190128649,181314386,171278269,160042012,147778161,147778162,147778164,147778165,160042009,160042004,147778158,134646812,120848727,106599871,106599872,106599867,106599868,106599869,120848725,134646807,147778149,158674604,170031847,171278266,171278267,171278278,171278276,171278272,171278273,170031834,158674582,147778169,147778143,147778142,160041989,262451584,171278261,160041986 Dl.O(d2) = 134646804,147778141,261414624,260250276,106599870,106599872,120848724,134646804,147778141,160041988,158674577,158674578,262912879,180196761,189137265,186500254,177151353,166576954,154875957,142242038,128890694,271548380,86951216,73339907,60595156,257207442,30672118,23256142,16992808,254925684,7964202,8362925,5677367,5677366,8405473,8405474,7922296,7922295,11853452,12378312,10017871,10017870,14558411,16124420,16124418,17618771,12436804,12436803,14558401,14558403,11853466,7922306,5036629,5036630,4979139,4979138,3324202,3324200,5023354,5023353,7902517,5423383,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,16177522,21266927,15305286,254926330,23898092,17552744,17552743,17580756,16177671,11244520,11244521,12377261,8363853,8363856,11747971,11747973,13527665,12397252,8378165,8378167,12397257,10693643,7064787,4448128,4448127,7064783,5338053,3281319,3281318,3718381,5946063,9089288,13307902,18701022,20970788,20970787,25577225,22005863,15904923,11026275,11026274,12259406,8279379,8279378,12259403,17396272,23720110,31206949,255389180,39893065,48159389,38250227,29685217,255465635,11251228,7468667,7468666,11251226,11259284,267975581,4723834,2846205,1651321,1651320,2846203,4719848,2843517,2843518,2843758,1649707,1649545,937904,528525,296082,163754,163755,296084,528527,296092,163759,163760,296093,528539,267766403,938335,529764,296921,296920,254124507,296947,164320,90370,49736,27815,15783,15782,27811,49728,90360,164308,296931,529772,939660,1652087,254354851,7477430,11263539,16202932,22354326,23049130,29709650,256944887,59571941,72305874,85898527,259382571,99853150,99853149,113870679,114899490,100848632,86867419,73254545,60507592,49103509,39173220,33330067,25570122,25570121,33311926,25550485,268749457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8631519, s2 = 4325412, dlinesl.size( ) = 8 s1 = 8799115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4214928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8380525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8380525, s2 = 5004912, int(edited[s2]) = 0 s1 = 8380525, s2 = 5004912, d1 = 34, d2 = 32 Dl.O(d1) = 258264230,6956711,6062460,6062459,9256712,13525652,255150655,12058684,17155229,21261133,15297835,10562375,6966577,6966579,6966440,6956997,5196879,4371110,4371109,6065400,6065398,6950101,4367242,2616779,2616780,3787935,2269398,2269402,3787959,3790902,2270920,1317073,751491,751493,856533,856532,1510312,2615497,4364672,6945499,255109225,11506878,13680801,13680799,257228151,65058216,78337082,259694647,261470287 Dl.O(d2) = 207256346,263927700,166063847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8613605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7158185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7158185, s2 = 10983344, int(edited[s2]) = 0 s1 = 7158185, s2 = 10983344, d1 = 59, d2 = 80 Dl.O(d1) = 263358792 Dl.O(d2) = 260318857,261600608,106836845,270556499,65200727,53214942,257386614,3872723,2319144,1344460,1344459,1344212,1344213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7158185, s2 = 10983344, dlinesl.size( ) = 66 s1 = 10357288, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7022484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7022484, s2 = 13922562, int(edited[s2]) = 0 s1 = 7022484, s2 = 13922562, d1 = 29, d2 = 42 Dl.O(d1) = 261476981 Dl.O(d2) = 237142235,237142234,237897612,238583697,239211133,239787879,266983987,241277016,240817138,274871641,241277016,241277015,241277001,240817121,240817120,266983989,240321378,240321377,239787881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7022484, s2 = 13922562, dlinesl.size( ) = 30 s1 = 4218925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2760435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2760435, s2 = 11419324, int(edited[s2]) = 0 s1 = 2760435, s2 = 11419324, d1 = 0, d2 = 24 Dl.O(d1) = 81037509,95095353,257837726,259712974 Dl.O(d2) = 181528644,190308488,185601110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2760435, s2 = 11419324, dlinesl.size( ) = 34 s1 = 8329231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165660, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7129437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7129437, s2 = 9548609, int(edited[s2]) = 0 s1 = 7129437, s2 = 9548609, d1 = 5, d2 = 8 Dl.O(d1) = 262969159 Dl.O(d2) = 160574585,148298762,148298761,262017897,171776518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 10240736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10240736, s2 = 13764881, int(edited[s2]) = 0 s1 = 10240736, s2 = 13764881, d1 = 0, d2 = 19 Dl.O(d1) = 92672740,107005783 Dl.O(d2) = 273465891,181765402,181765401,190507945,198053287,263987942,190507948,198053286,264085377,198053287,263987942,181765405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10240736, s2 = 13764881, dlinesl.size( ) = 2 s1 = 10240736, s2 = 13764881, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10240736, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 4395452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7595085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7595085, s2 = 7104065, int(edited[s2]) = 0 s1 = 7595085, s2 = 7104065, d1 = 22, d2 = 21 Dl.O(d1) = 268768183,261487161,160636152 Dl.O(d2) = 264676144,160636152,263651903,178304628,262635846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7595085, s2 = 7104065, dlinesl.size( ) = 22 s1 = 8431662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9663204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7023235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7023235, s2 = 14689370, int(edited[s2]) = 0 s1 = 7023235, s2 = 14689370, d1 = 8, d2 = 10 Dl.O(d1) = 261489617 Dl.O(d2) = 271819190,60184945,258793568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7023235, s2 = 14689370, dlinesl.size( ) = 8 s1 = 7023356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13736563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4398472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4398472, s2 = 7844231, int(edited[s2]) = 0 s1 = 4398472, s2 = 7844231, d1 = 23, d2 = 8 Dl.O(d1) = 172475280 Dl.O(d2) = 28469263,21248148,255025001,255820013,28373531,23439591,17165729,17165730,13528889,9259534,6064611,3794536,3794538,6064607,8112240,6906025,6906024,6956452,4370777,4370779,6956457,10547968,15282225,18970673,18944778,18944758,13508163,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064186,9258962,13528242,17161195,21473008,18963072,13527451,9258289,8268346,5335070,5335069,3784948,3784949,3797409,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023191,1793605,1316505,1316507,1315926,750973,750977,1315945,2268582,3786550,6051116,4879688,2940210,1705016,969224,545886,305757,305758,545888,969228,1705018,2940214,4879691,7710467,7501939,4742099,4742100,254778347,11586090,7711904,4880654,2940776,1705336,1705337,2940777,4880656,7711908,255116205,22832627,30224642,38807644,41900736,32962363,25240836,21136057,21136054,28349214,30224630,255498455,16611429,22832617,30224631,38807629,48728171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4398472, s2 = 7844231, dlinesl.size( ) = 12 s1 = 4224086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4398972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4398972, s2 = 6679989, int(edited[s2]) = 0 s1 = 4398972, s2 = 6679989, d1 = 8, d2 = 12 Dl.O(d1) = 172490701 Dl.O(d2) = 257252012,11909088,8443585,8443584,12473945,9142037,9142038,13375651,18780445,23970535,268610108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4398972, s2 = 6679989, dlinesl.size( ) = 16 s1 = 9182548, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4400923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4318458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4227294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4401931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4401931, s2 = 8036539, int(edited[s2]) = 0 s1 = 4401931, s2 = 8036539, d1 = 18, d2 = 50 Dl.O(d1) = 172866150 Dl.O(d2) = 17358937,17358939,14332517,14332518,19781943,17464633,15726715,15726716,17040972,12232767,8259989,8259988,12232763,12245247,12245246,15734660,21793457,29091585,23794538,17462448,17462446,23739431,23739430,21785329,21785327,28271069,29091410,21793267,21793266,17414925,17414924,23739437,17462580,17462582,21793661,15734802,15734803,21793666,21710356,15668128,10897511,10897513,15734551,17377029,12322616,8323437,5370914,5370913,8323432,12322609,17477778,23811638,29095308,29095310,30325738,30325739,254184894,60228375,72965888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4401931, s2 = 8036539, dlinesl.size( ) = 2 s1 = 4401931, s2 = 8036539, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4401931, Dl.E( ) = 62, 2.91e-05 seconds used appending s1 = 4701809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4701809, s2 = 6839903, int(edited[s2]) = 0 s1 = 4701809, s2 = 6839903, d1 = 93, d2 = 108 Dl.O(d1) = 191434062,182782028,172883550 Dl.O(d2) = 259076971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4701809, s2 = 6839903, dlinesl.size( ) = 2 s1 = 4701809, s2 = 6839903, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4701809, Dl.E( ) = 154, 4.6e-05 seconds used appending s1 = 13606333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13535563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13535563, s2 = 5932761, int(edited[s2]) = 0 s1 = 13535563, s2 = 5932761, d1 = 6, d2 = 9 Dl.O(d1) = 53877289,53877288,65944924,79309369,93440089,107867835,122281092,136254741,149517866,161822636 Dl.O(d2) = 170828437,180951529,180951527,172990135,172990136,263413513,191539066,198971057,205254525,210454339,214702852,218197802,221132847,223644994,225821655,227719854,229385498,230864955,232190526,233387926,234474588,235463479,236366267,237191084,237942342,238625847,239251661,239827377,240359368,240852485,241249165,240787726,240290195,239754374,239174061,238541727,237851433,237092297,237092298,237851434,237851440,237092302,236260518,266282178,234348757,265931770,232035765,232035764,230688318,229176174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13535563, s2 = 5932761, dlinesl.size( ) = 10 s1 = 10244645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8600433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9570988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9570988, s2 = 4403460, int(edited[s2]) = 0 s1 = 9570988, s2 = 4403460, d1 = 0, d2 = 0 Dl.O(d1) = 1281645,1281644,1737295,2992515,4443206,254225857,495455,495454,878484,1545729,2669024,254287908,10683691,15451840,21448849,21344863,15369981,15369980,21344861,28573118,37076464,41845789,32917824,25204270,18640832,13253962,13253963,18640833,25204271,19159897,255687879,33605147,42630032,53077545,65059942,78338804,92371645,258958542,91023419,91023420,92635683,92635682,93458165,93458163,93458164,107887102,261522817,161850140,173015158,182912667,191556173,198984862,205265813,210463890,265127337,274389199,227725802,229391125,265293010,224427932,222011435,219197369,215863122,273630614,200922630,193841793,185582431,176118002,165435956,153655309,140988756,127640393,113772366,99758321,85804390,72210117,256124160,47705983,38168932,29601974,22252329,16114182,16114183,22252331,29601977,38168936,48081791,59104051,256907435,37784963,47705869,58653140,47261363,47114513,37217335,37217333,47114510,58492783,48663482,48663480,59104046,71842901,85428674,99369871,92424309,78387092,65103423,53116714,42664717,33635245,25832435,19179567,13696291,9379982,6144841,3845029,2303969,1337051,763737,763738,1337052,779083 Dl.O(d2) = 1281645,1281644,1737295,2992515,4443206,254225857,495455,495454,878484,1545729,2669024,254287908,10683691,15451840,21448849,21344863,15369981,15369980,21344861,28573118,37076464,41845789,32917824,25204270,18640832,13253962,13253963,18640833,25204271,19159897,255687879,33605147,42630032,53077545,65059942,78338804,92371645,258958542,91023419,91023420,92635683,92635682,93458165,93458163,93458164,107887102,261522817,161850140,173015158,182912667,191556173,198984862,205265813,210463890,265127337,274389199,227725802,229391125,265293010,224427932,222011435,219197369,215863122,273630614,200922630,193841793,185582431,176118002,165435956,153655309,140988756,127640393,113772366,99758321,85804390,72210117,256124160,47705983,38168932,29601974,22252329,16114182,16114183,22252331,29601977,38168936,48081791,59104051,256907435,37784963,47705869,58653140,47261363,47114513,37217335,37217333,47114510,58492783,48663482,48663480,59104046,71842901,85428674,99369871,92424309,78387092,65103423,53116714,42664717,33635245,25832435,19179567,13696291,9379982,6144841,3845029,2303969,1337051,763737,763738,1337052,779083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9570988, s2 = 4403460, dlinesl.size( ) = 2 s1 = 9570988, s2 = 4403460, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9570988, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7024837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024837, s2 = 7425406, int(edited[s2]) = 0 s1 = 7024837, s2 = 7425406, d1 = 15, d2 = 12 Dl.O(d1) = 261524157,261753136,264236869 Dl.O(d2) = 266526454,265586296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024837, s2 = 7425406, dlinesl.size( ) = 14 s1 = 14165776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165776, s2 = 25286, int(edited[s2]) = 0 s1 = 14165776, s2 = 25286, d1 = 11, d2 = 6 Dl.O(d1) = 227730968,225833108,223656706,221144964,218211247,264911513,210474404,205279322,199002715,191580706,182946315,173060463,161906616,149607000,136339146,122354016,107927048,93489192,258482181,53917621,43392644 Dl.O(d2) = 26416730,19680369,14108837,9705128,6383719,4005506,2400389,2400388,4005505,6383721,9588104,6383735,4005516,3882805,3882727,2360651,2325057,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2325057,2325060,3882727,2360651,2360648,2403467,2403463,2360568,2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771971,438489,438487,771966,254209533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165776, s2 = 25286, dlinesl.size( ) = 2 s1 = 14165776, s2 = 25286, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165776, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 4404585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10186915, s2 = 4405040, int(edited[s2]) = 0 s1 = 10186915, s2 = 4405040, d1 = 7, d2 = 15 Dl.O(d1) = 66849148 Dl.O(d2) = 173177861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186915, s2 = 4405040, dlinesl.size( ) = 2 s1 = 10186915, s2 = 4405040, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 10186915, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 9224639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9224639, s2 = 7421147, int(edited[s2]) = 0 s1 = 9224639, s2 = 7421147, d1 = 95, d2 = 90 Dl.O(d1) = 136721890,149863981,162077761 Dl.O(d2) = 266482840,234488571,235476888,235476887,266295030,265949355,266189227,234488571,274714463,235863303,235863289,266372446,232716819,231446422,230028623,274612120,233865054,234910895,235863285,236731032,274774195,235863309 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4231999, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7813133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9539787, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10232896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7257159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6880207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7025702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4233990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7025801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6896318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6896318, s2 = 11014546, int(edited[s2]) = 0 s1 = 6896318, s2 = 11014546, d1 = 23, d2 = 42 Dl.O(d1) = 259806436 Dl.O(d2) = 120085465,105872305,91663923,77735867,64553467,257901940,13486715,18917972,25527554,33287899,26367990,19635529,14072466,9678196,9678197,14072468,15445840,10678944,10678945,15445842,268547298,23931530,20238693,14522550,14522551,14360540,9884150,6494197,6494195,9884145,14355904,14355905,9864207,9864209,14355915,20040520,17196575,12092280,8131956,5209971,3178572,3178570,5209959,6914473,10487111,15204217,15719192,21778258,22091119,17943158,17943156,24331561,20048761,14363005,9899520,9899519,8639060,8639058,12714563,17943053,23358376,26959624,20075954,15985624,14371984,14371982,17659573,24004887,23401095,23401091,26937800,20062262,14378052,11466704,7627154,7627151,8356463,8356465,11133578,11133582,10884306,10584616,6982377,4387146,4387149,6982358,10584571,15324853,14377807,14377811,20062001,20115116,14425548,14425547,20115115,27006099,254797798,24004798,31503496,26925623,26925622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896318, s2 = 11014546, dlinesl.size( ) = 42 s1 = 10357401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357401, s2 = 9715382, int(edited[s2]) = 0 s1 = 10357401, s2 = 9715382, d1 = 13, d2 = 0 Dl.O(d1) = 139461101,262149981,174879241,184489907,174879232,263078671,263840707,263219988,180190826,170024812,158666632,146298312,133070644,119240695,260845479,119241165,133071319,272691925,146299566,146299367,146299368,152185063,139461319,139461318,152185058,152184622,152184623,164061903,170025944,263328415,196876149,263703079,180191434,180190496,170024397,158666261,146298029,146298028,158666260,170024396,263702945,196875955,263219988,180190826,170024812,158666632,146298312,133070644,119240695,105048130,105048129,119240694,133070642,146298310,262450693,180190825,189132199,196875899,199197589,205442007,199197594,191816328,183233363,173417604,162365872,150220167,137169533,123428423,123428424,137169535,146299510,133071480,133071479,146297839,158666042,146299278,272691925,146299566,261950735,146287987,261949623,170014912,180181517,189123752,192017718,183463478,173677677,262741316,261565261,137507225,137507224,150537031,262568527,183233260,183233251,183233250,191816270,196876149,192017695,183463440,173677600,173677599,165950064,165950065,165950080,158666184,146297963,146297962,158666182,261950479,119240636,119240637,133070577,133070212,119240391,105047942,90869088,76990888,76990890,90869091,105047948,119230448,105038092,272691607,192017724,264235960,146297939,272976497,158668559,158668557,170026538,263703055,262076123,137169510,123428411,109228123,109228125,123428418,137169524,141527499,128169124,114285212,100254568,86291423,72693676,72693677,86291428,100254586,90869111,90869109,105047980,119240451,126090855,112236106,98258087,98258084,112236087,126091098,139461334,152184686,152184685,164061953,164061978,164061977,173677823,262914690,272365026,119675670,260854913,146809647,272691897,260845525,105048294,105048295,119240918,133070960,146298769,158667152,170025307,180191207,170526219,170526218,180660203,189560457,186825245,186825244,194919755,196875804,263956978,192017794,183463615,173677866,162656539,150537239,262601414,109228182,123428524,137169649,261752035,133060482,133060481,139461248,126091040,273333370,262076155,137169613,273307922,262450935,164061889,174879089,174879097,174879404,174879403,263840725 Dl.O(d2) = 150220231,150220232,162365934,262912025,158666546,158666545,170024736,158668260,146299713,133071644,119241390,105048612,105048613,119241391,133071645,133070336,119240482,105047997,105047995,119240473,123784223,137507374,146297883,139461309,139460980,139460981,126090993,126090983,112236024,98258047,84350588,70791786,70791788,84350592,98258058,105048403,105048404,119241064,133071157,146299050,158667508,170025499,158667335,158667336,158667530,158667529,170025692,170025466,170025329,170025331,170024717,158666517,146298221,133070581,133070580,262450535,146299076,133071173,119241073,105048410,105048409,119241071,133071168,146299069,158667551,170024680,158666492,158666476,262450645,158667029,146298649,146298650,150220370,137169690,123428553,123428549,123428550,261268976,260097854,95342521,87590286,73989866,73989868,87590291,101552912,115589395,129474615,142796235,155383543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10357401, s2 = 9715382, dlinesl.size( ) = 14 s1 = 167081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13622463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096602, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14166008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4410256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8565143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8565143, s2 = 7324814, int(edited[s2]) = 0 s1 = 8565143, s2 = 7324814, d1 = 234, d2 = 169 Dl.O(d1) = 46327974,36472675,28012283,260467815,258525976,260987608,162472061,162472060 Dl.O(d2) = 265431904 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9238062, s2 = 10165052, int(edited[s2]) = 0 s1 = 9238062, s2 = 10165052, d1 = 114, d2 = 99 Dl.O(d1) = 262270820,183329587,173529359 Dl.O(d2) = 263321044,95140735,81083126,257754864,35059964,35059963,26977201,20089036,20089037,25422057,33164348,35053944,26972087,20085755,20085757,23793875,31279777,39954488,44541412,44428937,35054210,26972281,26972283,20087645,14402069,14402071,255743409,256217439,20085067,255743135,35052327,44426913,256217873,20088046,14402319,9906113,6510815,254689207,14402307,14401797,14401798,20086726,26973553,26973561,26973559,26974700,26974701,27185805,32907163,27185648,27185651,27185797,26974919,26974918,35057214,27185752,20262490,20262491,27185772,33607626,35305092,35305091,35053723,35053721,35056091,35056090,35305101,42402668,35057098,26974501,20087347,20087350,26974506,25646568,19029059,13582700,13582702,19029071,14401451,14401450,20086554,20086573,14401457,14401456,14401892,20087361,26974240,35056789,44431391,55276842,55274151,55274152,55277152,55277151,67615517,67615518,269191502,63230612,51518140,41300691,41300693,51518142,63231375,63809927,63809821,255328202,62476379,62476380,64837256,52912526,51517656,41300242,32457885,32457886,269047987,48846549,41601503,32698842,32698844,34082753,34082752,30339600,22938624,16703317,16703270,16703268,16703285,18486632,18486631,25016144,30339574,25015463,18486225,13133372,8950840,5842259,3645706,3645707,5842265,8950855,13133405,13133436,8950867,8950864,13133425,18486334,25015634,32698467,33756820,25948976,25948974,33756813,27083174,27083035,27079434,27079432,35167248,35163783,27076355,24472919,24472918,32035730,37655715,47561693,257308176,32699398,41602221,51902166,63709066,55385548,44539278,35164613,27077130,20180549,20180550,27077131,35164615,41298623,268548204,27080643,35168643,32458129,32458128,41300617,32458279,24820772,24820773,27080608,27080609,35168576,41602088,32699293,25016122,25016124,32699300,26973240,20086510,20086512,24820113,24820141,32457147,27080780,20183218,20183220,27080791,35162550,35162552,38925806,35169279,35169282,41300890,41300893,38925422,30339452,22938525,22938528,20179308,255750385,35162493,44539405,55385709,67725063,62067604,50575084,50575086,42503073,33504419,25726260,19094885,13632736,13632738,19094895,25726277,32698152,25015392,25015391,31841043,24321542,18318531,13002873,13002874,18318518,24806725,32440847,41279379,35168488,35168486,38926008,41279251,39897262,39897263,40366596,41756605,267871428,268047972,35169065,27080936,255328226,14480860,20183306,255334285,9961697,9961698,9963105,9963116,14480640,18486041,18486033,13133275,8950790,8950789,13133265,18486015,25015135,32697748,41600095,35161852,27074985,20178970,20178969,27074981,35161845,35161910,35168182,27083068,20184887,20184886,20184931,14481849,14480090,14480091,18485917,18485916,19284903,20184329,27082296,20184425,254919194,25949132,33757035,42788015,35166899,254317360,20181949,27079066,254692728,32187429,24600053,24600054,32187432,40967013,256162770,42787895,42787896,49916961,256226362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238062, s2 = 10165052, dlinesl.size( ) = 56 s1 = 7664659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7664659, s2 = 4238232, int(edited[s2]) = 0 s1 = 7664659, s2 = 4238232, d1 = 7, d2 = 7 Dl.O(d1) = 271657855,162493523,173530449,183330464,191898396,264127337,210663351,214877597,274040998,263432647,173530451,173530450,173530449,183330464,191898396,264127337,210663351,214877597,274040998,264127341,264683739,205504646 Dl.O(d2) = 271657855,162493523,173530449,183330464,191898396,264127337,210663351,214877597,274040998,263432647,173530451,173530450,173530449,183330464,191898396,264127337,210663351,214877597,274040998,264127341,264683739,205504646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7664659, s2 = 4238232, dlinesl.size( ) = 2 s1 = 7664659, s2 = 4238232, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7664659, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 7128878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9521620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9224148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8546693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8546693, s2 = 9529930, int(edited[s2]) = 0 s1 = 8546693, s2 = 9529930, d1 = 11, d2 = 5 Dl.O(d1) = 101109025,101109024,115187288,259432144,115187291,115187292,129119272,142496754,142496753,155141078,155141075,142496751,142496752,155141077,166834748,177383152,177383151,166834746,155141076,155141077,166834748,177383147,166834742,166834743,155141079,155141078,155141075,155141074,166834743,166834749,177383153,173555459,162522625,162522626,162522621,150392167,137350711,123618129,123618130,137350714,137350717,137350715,123618131,109424133,109424132,123618130,137350714,137350717,137350715,273295008,150392169,261554715,123618138,109424144,259159335,67642762,55304054,44459200,44459199,55304052,67642757,259159329,109424136,123618134,122303586,107887560,107887561 Dl.O(d2) = 136280179,128310461,114433750,100409257,86452292,72856693,60119722,60119723,63707739,76809940,90679003,104847367,119031173,132851139,146069659,157856238,145457124,260822492,104253178,258982381,63281759,51563247,41340923,32493302,24851332,24851331,32493301,41340925,256814776,47151868,37246553,37246552,42066230,33117334,25381985,267948174,13390210,18797129,25381984,33117333,30043988,22668485,22668486,20087035,20087036,26974023,35056502,41601246,41599937,41599936,41600296,51900361,63707915,64156096,60142246,60142247,61991120,60757296,49354191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8546693, s2 = 9529930, dlinesl.size( ) = 2 s1 = 8546693, s2 = 9529930, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8546693, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 4412170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4412170, s2 = 14721482, int(edited[s2]) = 0 s1 = 4412170, s2 = 14721482, d1 = 22, d2 = 40 Dl.O(d1) = 173558926 Dl.O(d2) = 273343026,173558922,162525645,162525644,173558921,173558924,173558928,263284900,173558930,183355701,173558929,262864052,173558925,183355699,261141218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4412170, s2 = 14721482, dlinesl.size( ) = 42 s1 = 4412266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7267046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4239584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7714486, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11659916, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4049927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9568328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9568328, s2 = 896039, int(edited[s2]) = 0 s1 = 9568328, s2 = 896039, d1 = 2, d2 = 1 Dl.O(d1) = 211803571,215838887,219176345,221291613,218381106,214917304,210707210,205553128,199321722,191956634,183394877,173601021,162571127,150442846,137403418,123672295,109480476,95226567,81170301,67704785,257315423,35142417,255748889,14465686,9952414,6540966,6540965,9952412,9957452,9958113,6544864,4100366,2452807,2452808,4100371,6544875,7858624,4987763,3012636,3012637,4987767,7858632,9950714,9951904,9951929,6540681,4097842,2451446,1417292,1417293,2451451,4097855,6540701,9951958,11770291,11769786,7857963,7857961,255130793,14463425,9950720,9950721,14463426,16828852,11769832,11769830,16831029,20164840,254745404,27057204,27057205,35142564,268390321,15673991,10850793,268075977,21717905,16660829,11627855,7745635,7745639,9958139,14473123,11627883,7745653,7745654,11627890,16660886,20171133,23996923,17653063,17653062,14463094,9950482,9950481,14463104,20156776,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,20166912,15982872,15982871,21985391,17375177,17375178,23697422,256509077,38350903,29778668,268638392,16249334,16249333,22413830,22667951,255106725,7633707,4829490,4829489,7633704,255106723,22667949,30043259,30043257,30043256,38617070,258159881,86266096,100231653,272223769,127544840,113674247,99661587,85713897,72129199,59398532,48010729,38099774,36463685,36463684,46316487,57660799,256349234,58930467,255422042,37641567,37641566,255422040,38100974,29537453,22194374,16065930,16065929,22194372,29537450,256012316,22672160,22672159,29767080,22404361,22404362,29767081,38338003,48248557,59635619,72369747,85964238,99921624,271806181,141187531,137610207,123932214,109796356,95594325,81560794,68070812,257918390,35335809,27211429,20283166,14553544,10014025,6581692,4123650,2466972,2466971,4123648,6581686,10014017,14553530,254996194,23020737,22062881,20282569,20282568,22064262 Dl.O(d2) = 16921377,23187741,18130300,12855805,12855806,254763878,254762588,16601095,22820883,29213831,25319512,25319513,23134915,16874282,11804658,11804660,10467735,10467736,15177510,15403254,11065908,11065909,7337359,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7706825,4877528,2938974,1704266,1704263,2938956,4877499,7706788,11578357,16601358,22821226,30213198,38797288,48718338,60112988,72849416,86444110,100400152,114423833,128299749,141649057,141649055,141649056,154302536,166053124,263184077,176691302,185492633,176020704,165327726,153535782,140859025,127502660,113630499,99616603,85667920,72081672,59348292,47957436,38044270,38044271,47957438,258116153,85667923,99616604,113630501,127502661,140859027,153535784,153535783,165327729,176020705,185492636,184300834,272586164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9568328, s2 = 896039, dlinesl.size( ) = 2 s1 = 9568328, s2 = 896039, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9568328, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 14165492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165492, s2 = 4414060, int(edited[s2]) = 0 s1 = 14165492, s2 = 4414060, d1 = 6, d2 = 6 Dl.O(d1) = 165055268,175786157,185297205,263880307,206705137,273960949,191957977,183396136,173602159,272462888,260404788,270661092,81171366,67705833,67705834,260404681,109481446,123673290,261559083,162572241,173602161 Dl.O(d2) = 165055268,175786157,185297205,263880307,206705137,273960949,191957977,183396136,173602159,272462888,260404788,270661092,81171366,67705833,67705834,260404681,109481446,123673290,261559083,162572241,173602161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165492, s2 = 4414060, dlinesl.size( ) = 2 s1 = 14165492, s2 = 4414060, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165492, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 10152575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4415594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4243526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4243526, s2 = 4109061, int(edited[s2]) = 0 s1 = 4243526, s2 = 4109061, d1 = 2, d2 = 16 Dl.O(d1) = 162646618 Dl.O(d2) = 183454152,192009231,199368819,205595618,210746268,214953324,218414133,221321749,221321748,221971383,219150466,219150467,221971368,221971367,224393842,265716853,229938175,228330061,265861088,221971360,221971359,224393837,223812167,221971383,219150466,215809309,264753006,193756869,185491013,185491014,176019049,165325917,153533743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4243526, s2 = 4109061, dlinesl.size( ) = 2 s1 = 4243526, s2 = 4109061, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4243526, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 13709793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4416316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4244040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4054098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4054098, s2 = 15679471, int(edited[s2]) = 0 s1 = 4054098, s2 = 15679471, d1 = 143, d2 = 139 Dl.O(d1) = 150544488,150544487,271297986,259905692,150544416,150544419,162663116,162663214,162663173,150544467,150544466,162663112,150544504,150544505,162663237,173684211,183469555,173684122,162663146,150544444,150544443,162663144,173684116,173684143,173684205,162663230,162663229,173684098,162663124,259905696,173684108,162663139,150544438,137515623,123793589,109605936,109605937,123793592,137515629,150544448,258659680,137515620,150544434,150544415,258035008,123793586,137515614,150544424,162663123,173684090,162663119,150544420,150544419,162663116,162663214,162663213,173684174,173684175,183469590,261638068,173684104,261086516,173684088,162663117,150544420 Dl.O(d2) = 25374247,18789390,13382869,13382870,18789394,25374252,33109577,40306949,38382957,37027467,28529451,21307152,15337517,10593211,10593210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4054098, s2 = 15679471, dlinesl.size( ) = 2 s1 = 4054098, s2 = 15679471, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4054098, Dl.E( ) = 144, 5.91e-05 seconds used appending s1 = 10357357, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8568890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7225687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7225687, s2 = 14065686, int(edited[s2]) = 0 s1 = 7225687, s2 = 14065686, d1 = 85, d2 = 7 Dl.O(d1) = 264242566 Dl.O(d2) = 33929415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7225687, s2 = 14065686, dlinesl.size( ) = 54 s1 = 6572914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4417374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8749888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9477347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350880, s2 = 4111403, int(edited[s2]) = 0 s1 = 10350880, s2 = 4111403, d1 = 54, d2 = 15 Dl.O(d1) = 254936010,15147757,15147756,12571399,10447093,10447090,15147712,13910224,9546622,6263526,6263527,254949829,19439671,26135489,33974275,258461253 Dl.O(d2) = 153617286,261045622 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7028450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7028450, s2 = 16275478, int(edited[s2]) = 0 s1 = 7028450, s2 = 16275478, d1 = 13, d2 = 27 Dl.O(d1) = 261571611 Dl.O(d2) = 273128744,263555972,222274842,219497297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7028450, s2 = 16275478, dlinesl.size( ) = 2 s1 = 7028450, s2 = 16275478, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7028450, Dl.E( ) = 30, 6.91e-06 seconds used appending s1 = 8567133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7028615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7665117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8050321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8050321, s2 = 6424831, int(edited[s2]) = 0 s1 = 8050321, s2 = 6424831, d1 = 75, d2 = 89 Dl.O(d1) = 8281941,12263790,8800424,8800425,12935923,18237036,24708551,29651098,22299056,16153662,11222724,7446402,4704780,4704778,7446398,11222714,16153648,16247174,22240008,255614996,25710131,19083024,13624435,9329378,6111157,6111156,9329376,13624432,255277045,22365154,29721357,24934343,24934342,30041224,22666010,16470950,11476132,7633042,7633041,11476130,16470941,22665987,30041200,25617228,19003350,13562385,255271787,14615480,10056328,6607509,273579090,162824363 Dl.O(d2) = 21511409,21511408,28772832,269785561,28772834,21511409,254194230,254140212,7082659,254140212,254090878,279181,154061,154063,279186,497829,882209,1551706,1687194,1677782,954586,954587,941384,941385,949561,538138,301691,172393,172392,94915,52365,52363,94912,254072160,52343,94864,172446,302917,167684,92274,50888,50887,92271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8050321, s2 = 6424831, dlinesl.size( ) = 44 s1 = 4420138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9477593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8383917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4420468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4420468, s2 = 7950878, int(edited[s2]) = 0 s1 = 4420468, s2 = 7950878, d1 = 7, d2 = 27 Dl.O(d1) = 174079946 Dl.O(d2) = 163208860,174079950,181068988,262621896,197584632,263832000,183766252,174079949,174079950,181068988,170957033,170957034,181068992,189937908,189937907,197584632,263832000,183766252,183766251,192256484,197584633,263067464,189937911,192256484,262621892,170957031,159633616,262945185,189937909,263469882,204095197,263832000,183766252,174079949,174079950,170957030,159633615,159633614,261614386,147277364,134058775,134058776,147277366,159633618,159633615,159633614,271755420,134058771,134058772,147277361,147277364,147277362,134058774,120223448,106021267,106021268,120223449,134058776,147277366,159633618,159633615,159633614,271755420,120223446,258635286,257399968,19029173,22758147,20292888,20292887,21459659,15459792,10689461,7061737,7061736,7061738,10689462,10785216,10785215,15590431,21620781,27279962,20344467,14601959,14601958,14939556,10274933,10274934,14939555,20838825,28003545,28024265,36486360,46343200,57691023,67655044,67655043,81121556,90197718,90197717,90197719,83907959,70383498,57691024,46343202,36486361 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4059017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659988, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7028998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10230458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10230458, s2 = 11047068, int(edited[s2]) = 0 s1 = 10230458, s2 = 11047068, d1 = 51, d2 = 36 Dl.O(d1) = 264287010,210897998,210897997,212693077,212693076,274211515,264287020,210898005,205787042,205787043,205787047,199606057,199606052,199606053,205787041,205787040,199606051,192302394,183824703,183824704,192302390,183824696,183824695,192302389,199606044,205787033,262815646,183824699,183824714,183824709,183824701,174155567,163305790,163305791,163305795,151427647,138732378,138732379,151427649,163305799,174155574,183824706,192302397,199606056,199606054,192302406,183824717,174155582,260721706,151427652,273081143,111610060,111610056,111610057,125408894,138732384,125408903,270904454,151427662,272263068,151427671,259510312,125408906,138732397,151427668,163305808,261203890,186436480,186436481,186436487,262264466,154794738,154794739,166500941,166500936,154794736,154794737,166500937,177081920,180988049,180988048,189866000,194589715,263175616,180988045,180988044,189865995,189865997,180988046,180988047,189865999,197521531,197521533 Dl.O(d2) = 255915752,48746071,38826023,30242697,22848904,22848905,30242699,38768544,31541757,31541756,36714612,28221859,28221860,36714609,36714656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10230458, s2 = 11047068, dlinesl.size( ) = 14 s1 = 4249989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4249989, s2 = 7107220, int(edited[s2]) = 0 s1 = 4249989, s2 = 7107220, d1 = 7, d2 = 7 Dl.O(d1) = 163357884,164683433,262670849,184984968,193318931 Dl.O(d2) = 163357884,164683433,262670849,184984968,193318931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4249989, s2 = 7107220, dlinesl.size( ) = 2 s1 = 4249989, s2 = 7107220, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4249989, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 16323629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3879909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4251996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4424249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4253547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4253653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4253653, s2 = 4964750, int(edited[s2]) = 0 s1 = 4253653, s2 = 4964750, d1 = 49, d2 = 103 Dl.O(d1) = 163494580 Dl.O(d2) = 218532597,263959044,210924726,205818301,199643646,192344911,261265290,258228190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4253653, s2 = 4964750, dlinesl.size( ) = 66 s1 = 9478188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9478188, s2 = 9541051, int(edited[s2]) = 0 s1 = 9478188, s2 = 9541051, d1 = 60, d2 = 53 Dl.O(d1) = 269764988,125616487,256280576,84001791,84001790,97870136,256818654,258008448,151659467,163541272 Dl.O(d2) = 195285737,187233387,187233388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9478188, s2 = 9541051, dlinesl.size( ) = 20 s1 = 429643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6898895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6898895, s2 = 7198497, int(edited[s2]) = 0 s1 = 6898895, s2 = 7198497, d1 = 37, d2 = 29 Dl.O(d1) = 259877489,261611115 Dl.O(d2) = 263898003 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10221855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8530544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9712312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4256294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7135551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7135551, s2 = 16285427, int(edited[s2]) = 0 s1 = 7135551, s2 = 16285427, d1 = 29, d2 = 61 Dl.O(d1) = 263069877 Dl.O(d2) = 100011116,86047752,72448857,59711864,48324703,256479410,48324704,38414506,29843858,29843857,38414503,40495145,50530886,62023010,74819975,88442930,74810511,62014168,50522375,40486736,40486735,40153184,39441700,39441699,49266806,254857642,72214383,61671568,50187678,255182970,59219455,47821230,37899376,37899374,31483741,31483740,40168681,35364298,35364300,35364318,31020097,23538993,17231003,17231001,22377857,16221677,11276798,11276797,16221674,22377846,21837147,21837146,29144765,31468104,23972489,17624213,12443707,12443706,17624204,23972468,31468074,40151916,50177215,42368388,33379396,25613835,25613838,33379404,42368397,40168262,40168261,48696533,38774298,38774299,48696535,46702814,40235616,39196030,30599376,30599375,39196024,44788530,49316438,49316437,50182288,46513299,46513298,57869578,61792059,74576376,61792019,58836655,50190966,255059080,47450438,46714973,36832389,28335887,28335888,36832396,39339644,30740912,23320553,23320552,30740907,39339632,31483811,23986723,17640840,12465219,8433964,8433961,12465210,17640822,23986683,31483733,23992951,23992950,31468369,31468368,31319349,31319347,39996560,254327992,39760556,36727116,28233425,267845914,10422124,6871182,4313077,4313078,6871184,10422132,15109877,21036277,28233476,36727185,46614855,36739045,36739046,46627134,36739055,36739056,36740292,36740293,46628250,47715858,37795071,29232696,29232695,37795070,47715857,59113406,52293128,41952160,38687728,30906969,23471812,23471813,30906971,33095395,25361926,18779248,255658493,33095393,36543245,28075484,28075485,29232791,29232790,37795157,47715844,47716089,37795406,268245548,15832763,15832734,10971966,10971967,254917748,28417677,23614258,23614257,24277875,17897435,17897436,256047825,40486749,50522389,62014181,74810524,257565808,70875077,81136999,257565810,109449418,258797950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7135551, s2 = 16285427, dlinesl.size( ) = 2 s1 = 7135551, s2 = 16285427, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7135551, Dl.E( ) = 62, 2.38e-05 seconds used appending s1 = 8610886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13694677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13694677, s2 = 13580522, int(edited[s2]) = 0 s1 = 13694677, s2 = 13580522, d1 = 6, d2 = 6 Dl.O(d1) = 125756327,125756344,125756345,125756355,125756356,139096877,262141891,262627419,151799664,139096946,125756406,111936482,97996575,97996576,111936484,125756413,139096937,139096938,139097034,125919474,125919476,139096867,125756347,111936437,111936436,125756345,139096675,125756174,261620751,139096807,139096805,151799470,139096718,139096717,139096686,261068872,97996457,260488971,262627395,174505656,262627409,163673494,151799585,139096845,271757891,111936425,125756330,139096849,151799558,151799603,139096872,125756353,111936443,97996536,84121004,84121005,97996538,260488991 Dl.O(d2) = 125756327,125756344,125756345,125756355,125756356,139096877,262141891,262627419,151799664,139096946,125756406,111936482,97996575,97996576,111936484,125756413,139096937,139096938,139097034,125919474,125919476,139096867,125756347,111936437,111936436,125756345,139096675,125756174,261620751,139096807,139096805,151799470,139096718,139096717,139096686,261068872,97996457,260488971,262627395,174505656,262627409,163673494,151799585,139096845,271757891,111936425,125756330,139096849,151799558,151799603,139096872,125756353,111936443,97996536,84121004,84121005,97996538,260488991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13694677, s2 = 13580522, dlinesl.size( ) = 2 s1 = 13694677, s2 = 13580522, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13694677, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2586483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2586483, s2 = 14983022, int(edited[s2]) = 0 s1 = 2586483, s2 = 14983022, d1 = 1, d2 = 1 Dl.O(d1) = 73001881,86599310,91511110,105735014,100066625,86100960,73564567,73564563,87182245,87182246,101179098,112454536,257616180,270361822,257616150,118376344,104216851,104216853,101186285,101186283,100433267,100433268,104216841,118376334,132193230,145423066,262315398,133838776,119971935,105736878,91512914,77581812,77581811,91512913,105736876,105731180,271039220,86717786,86717785,100693979,112298124,119973759,119973766,260072800,260874128,114743659,260654625,261776793,166368481,263073514,170809815,261622068,272375117,260999014,33221237,33221236,42180653,52539047,64412936,77581362,91512322,105736105,258920394,86850229,86850230,258920314,64413455,52539432,52539434,64413457,77581992,85073940,98999485,95595262,91515128,91515129,105738943,119973721,109436957,95180927,81122492,258076302,109436959,123630270,259888700,270280274,109436826,119973977,133840402,119973976,105739292,91515598,77584502,256290704,271660183,255801972,84241244,70689054,57971250,57971252,70689055,83863189,70338002,70337985,70337978,57647521,254326914,57647701,70338254,255012498,57973833,46596981,46596983,48210796,47983856,38071764,29508043,29508042,38071759,255802382,46597020,46597019,257407964,63281741,63281740,73425782,60677772,49276698,39350080,39350079,49276697,256479887,23328266,255978239,39350370,257605169,30751041,30750392,30750390,30750931,39351190,49276155,60677234,49276079,39349501,30749513,30749514,39349492,36916736,36916735,46794541,57962322,258027904,49276114,49276115,60677258,73425338,73426296,73425377,60677305,60677304,73425375,60677729,60677728,60784862,60784976,51025344,40887947,32114342,32114341,40887944,257612921,57989230,257576988,72039686,72039631,256452474,255508284,22098858,22098862,29430455,37992508,37099171,37099172,28592157,28592158,29430272,22098760,22098761,29430298,24283251,24283250,29430754,268631265,256279406,28722709,28722710,37253634,47158447,50290951,43400090,43400089,37253658,28722734,21466542,15465557,10693905,7064974,7064976,10693911,15465566,21466559,21360217,17063346,11971720,8015998,8015999,11971724,16994235,16994234,23257116,16994242,11908813,7965640,5067765,3071591,3071590,255972335 Dl.O(d2) = 73001881,86599310,91511110,105735014,100066625,86100960,73564567,73564563,87182245,87182246,101179098,112454536,257616180,270361822,257616150,118376344,104216851,104216853,101186285,101186283,100433267,100433268,104216841,118376334,132193230,145423066,262315398,133838776,119971935,105736878,91512914,77581812,77581811,91512913,105736876,105731180,271039220,86717786,86717785,100693979,112298124,119973759,119973766,260072800,260874128,114743659,260654625,261776793,166368481,263073514,170809815,261622068,272375117,260999014,33221237,33221236,42180653,52539047,64412936,77581362,91512322,105736105,258920394,86850229,86850230,258920314,64413455,52539432,52539434,64413457,77581992,85073940,98999485,95595262,91515128,91515129,105738943,119973721,109436957,95180927,81122492,258076302,109436959,123630270,259888700,270280274,109436826,119973977,133840402,119973976,105739292,91515598,77584502,256290704,271660183,255801972,84241244,70689054,57971250,57971252,70689055,83863189,70338002,70337985,70337978,57647521,254326914,57647701,70338254,255012498,57973833,46596981,46596983,48210796,47983856,38071764,29508043,29508042,38071759,255802382,46597020,46597019,257407964,63281741,63281740,73425782,60677772,49276698,39350080,39350079,49276697,256479887,23328266,255978239,39350370,257605169,30751041,30750392,30750390,30750931,39351190,49276155,60677234,49276079,39349501,30749513,30749514,39349492,36916736,36916735,46794541,57962322,258027904,49276114,49276115,60677258,73425338,73426296,73425377,60677305,60677304,73425375,60677729,60677728,60784862,60784976,51025344,40887947,32114342,32114341,40887944,257612921,57989230,257576988,72039686,72039631,256452474,255508284,22098858,22098862,29430455,37992508,37099171,37099172,28592157,28592158,29430272,22098760,22098761,29430298,24283251,24283250,29430754,268631265,256279406,28722709,28722710,37253634,47158447,50290951,43400090,43400089,37253658,28722734,21466542,15465557,10693905,7064974,7064976,10693911,15465566,21466559,21360217,17063346,11971720,8015998,8015999,11971724,16994235,16994234,23257116,16994242,11908813,7965640,5067765,3071591,3071590,255972335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2586483, s2 = 14983022, dlinesl.size( ) = 2 s1 = 2586483, s2 = 14983022, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 2586483, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13765101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4429526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10227671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4430035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16023267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16023267, s2 = 13694842, int(edited[s2]) = 0 s1 = 16023267, s2 = 13694842, d1 = 5, d2 = 7 Dl.O(d1) = 46847276,36968448,36968449,32559678,32559679,41418949,51660724,255376546,58731685,47343817,41716754,32798739,32798738,41716752,52030077,63848706,71461414,71461371 Dl.O(d2) = 47343739,47343738,58731627,257204869,42254908,51657334,47343785,37436500,28895630,21620054,21620053,28895628,37436496,47343781,37728948,34102252,34102251,34102253,34102254,43187876,53699629,65756774,79113144,259730527,122009431,135938112,149163117,161450824,172628271,163899672,152035147,260145286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16023267, s2 = 13694842, dlinesl.size( ) = 2 s1 = 16023267, s2 = 13694842, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 16023267, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10258602, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7165912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7165912, s2 = 8031028, int(edited[s2]) = 0 s1 = 7165912, s2 = 8031028, d1 = 21, d2 = 18 Dl.O(d1) = 263478288,262632444,261626562,125996265,112160141 Dl.O(d2) = 260495325,261074360,130408450,125996265,112160141,98197499,84301311,84301312,98197500,88467392,74834253,257413276,50545713,40509974,36986084,28489228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7165912, s2 = 8031028, dlinesl.size( ) = 2 s1 = 7165912, s2 = 8031028, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7165912, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 4430683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4430683, s2 = 9507804, int(edited[s2]) = 0 s1 = 4430683, s2 = 9507804, d1 = 85, d2 = 193 Dl.O(d1) = 174725973,163916273,273091199,174725975 Dl.O(d2) = 112162431,115151357,129080546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4430949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4430949, s2 = 14159192, int(edited[s2]) = 0 s1 = 4430949, s2 = 14159192, d1 = 11, d2 = 9 Dl.O(d1) = 174863170,164045236,152167107,139442381,260497361,98236276,84329076,70770222,58051979,58051978,70770220,70770165,58051935,46677266,46677264,46677270,38330699,255909719,16237694,11288863,11190799,7425188,4692066,2827124,2827123,4692060,7425170,11190761,16110901,16110595,11190523,7425020,4691965,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,6877600,10432115,10432114,255377775,28257244,255377831,10432470,6877762,4317350,4317347,6877749,10428368,10431389,6877112,6877110,7595031,7595029,10431293,15121112,15121282,10429774,6877122,6877123,10431470,15123839,21055139,27968724,20805785,14911109,10252960,6737050,4221279,2523947,2523946,4221277,6737045,10252952,14911086,255781683,21709326,28252069,36747408,257411363,48242575,38332269,29761744,22399811,22399812,28256225,21317509,15346535,15346532,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,18081902,18083953,18083946,18083876,12820647,8716698,8716696,8716712,12820668,18082849,12819934,12819933,12820398,8716551,8716550,12820391,18081755,18081756,24511183,21050396,15120295,15120298,12819408,12819409,15878939,12819178,8715880,8715881,12819183,18081666,24511068,24512635,24676161,24676160,32087046,32087043,32082749,32082751,40854806,32086247,32082744,32082743,32087075,24513526,18083643,12820481,12820482,18083649,18079798,12818029,8715250,8715249,5722572,5722574,8786392,10846179,15667616,17244372,12819202,12819199,18081697,18084383,12820983,8716892,8716888,8716899,8716900,12818189,18080080,256064197,32085523,30620747,23199124,16930118,11849144,11849143,16930116,23199120,18083109,13620404,9326508,9326506,13620397,15040113,10367473,6830002,4284988,2561861,2561860,4284981,6829987,4323566,2586630,1491077,1491076,2586628,254491113,10446802,15147294,21087452,28294568,36791265,256835069,58051921,58051992,46677297,46677296,46677238,46677239,58051910,70770143,259275917,70770138,70770139,70770189,70770220,70770165,58051935,256835071,28294557,28294556,36791277 Dl.O(d2) = 58051935,46677266,46677264,46677270,38330699,255909719,22398678,29760321,38330697,48240953,59628192,58051931,58051933,58051996,70770243,84329088,98236231,84329017,70770154,258649165,98236227,112214586,259275931,70770191,58051958,46677271,46677272,38330699,255909719,22398678,29760321,38330697,48240953,59628192,58051931,58051933,58051996,70770242,84329003,70770232,70770233,84329079,84329084,84329083,70770238,257414379,46677295,58051991,70770208,58051968,58051967,58051918,46677243,36791263,28294546,256296419,46677239,58051910,70770143,259275917,70770138,70770139,70770189,70770220,70770165,58051935,46677266,46677264,46677270,38330699,255909719,22398678,29760321,38330696,48240948,59628188,70770146,70770147,259275921,98236279,84329081,70770234,58051990,58051991,70770208,58051968,58051967,58051918,46677243,46677242,58051915,70770147,259275921,112214578,259275919,258024417,58051907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4430949, s2 = 14159192, dlinesl.size( ) = 2 s1 = 4430949, s2 = 14159192, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4430949, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 10202357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4295586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4585673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4585673, s2 = 10140739, int(edited[s2]) = 0 s1 = 4585673, s2 = 10140739, d1 = 9, d2 = 0 Dl.O(d1) = 184488564,174877620,164060282,152182875,139459166,126088980,112234049,98256022,84348652 Dl.O(d2) = 36818054,28322244,21112141,15166034,15166035,15791089,10952747,7248854,4570761,4570763,7248863,7247965,4580266,4580265,7262687,10972386,15791175,15791177,21864212,26980328,20091685,14404965,10952334,7248610,4570633,2749293,2749292,4570632,7248608,10952330,15805606,14405002,9907856,6511940,4570630,4570629,7248604,10952323,7248788,7248789,10952635,15806076,15792759,15792757,20907096,15002082,15002083,15809981,10955857,10955858,15809988,15803611,15803608,21878998,29172641,21862612,21862611,21862615,15789754,10939319,7238365,7238366,10939321,15789757,15792402,10941495,7240023,7240022,10941493,15792399,18568874,15792676,10941694,10941693,15792673,15788783,15788781,21861285,28811691,21543882,21543883,28811694,30457056,30457054,39046377,48967591,58186582,46820253,36942290,28442732,28442734,32824684,25120380,25120379,29172633,21862607,21862608,29172635,37733319,47655078,58071564,58071565,268253986,60031501,60031500,71796285,59055554,47655077,47655076,59055552,268110550,46699476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4585673, s2 = 10140739, dlinesl.size( ) = 2 s1 = 4585673, s2 = 10140739, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4585673, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7031764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7031764, s2 = 3710042, int(edited[s2]) = 0 s1 = 7031764, s2 = 3710042, d1 = 94, d2 = 74 Dl.O(d1) = 261629815,262634849,174290763,174290764 Dl.O(d2) = 261766289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7031764, s2 = 3710042, dlinesl.size( ) = 14 s1 = 4431937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4432071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8606721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8606721, s2 = 14248151, int(edited[s2]) = 0 s1 = 8606721, s2 = 14248151, d1 = 24, d2 = 28 Dl.O(d1) = 256702002,11137184,7387179,4666875,2811546,1631050,927510,522803,522802,927506,1631040,267973237,17433695,12287972,8298613,8298612,12287970,256008741,39921662,258873939 Dl.O(d2) = 258323927,260191791,81555808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8606721, s2 = 14248151, dlinesl.size( ) = 26 s1 = 4432477, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8518068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7069665, s2 = 11469848, int(edited[s2]) = 0 s1 = 7069665, s2 = 11469848, d1 = 40, d2 = 61 Dl.O(d1) = 262153522 Dl.O(d2) = 225643494,265413448,265018642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7069665, s2 = 11469848, dlinesl.size( ) = 48 s1 = 7166405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8607129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4435294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10169416, s2 = 11495916, int(edited[s2]) = 0 s1 = 10169416, s2 = 11495916, d1 = 60, d2 = 78 Dl.O(d1) = 25815731,25815732,33615528,42642437,53092255,65076695,78356998,78356976,65076663,53092225,42642411,42642413,53092228,42642415,42642417,53092232,258438431,270552281,78356991,92390957,87161183,87161184,87161186,87161185,101159180,270904940,269874940,58206918,46838755,36959629,28459339,28459340,36959632,258035705,259906349,261087099,261638675 Dl.O(d2) = 240156806,240662408,274893685,241564441,267056841,242338029,242338028,241966449,241564442,274893682,274866950,266920820,266811958,274641590,265898008,273578906,273162840,264460183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10169416, s2 = 11495916, dlinesl.size( ) = 46 s1 = 4589942, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9664199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7033259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7033259, s2 = 10295959, int(edited[s2]) = 0 s1 = 7033259, s2 = 10295959, d1 = 50, d2 = 47 Dl.O(d1) = 261644901 Dl.O(d2) = 245740973,245613668,245476863,245331134,267435117,245613667,245740972,267505247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7033259, s2 = 10295959, dlinesl.size( ) = 88 s1 = 4080010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7033346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7033346, s2 = 9692039, int(edited[s2]) = 0 s1 = 7033346, s2 = 9692039, d1 = 49, d2 = 57 Dl.O(d1) = 126354556,261646081,164329175,175127228 Dl.O(d2) = 67653985,81120511,95178987,260992715,262085935,173565220,183361591,188779898,179801547,169604882,158228439,145859212,132640167,260554484,104642226,268623174,49759232,39740621,31062710,23578945,17267121,17267122,23578947,31062712,39740623,49759234,61238193,74018779,87622818,101589899,101589898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7033346, s2 = 9692039, dlinesl.size( ) = 2 s1 = 7033346, s2 = 9692039, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7033346, Dl.E( ) = 58, 2e-05 seconds used appending s1 = 9226291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9226291, s2 = 14218139, int(edited[s2]) = 0 s1 = 9226291, s2 = 14218139, d1 = 0, d2 = 0 Dl.O(d1) = 98527071,112521784,261096743,152469563,164338213,263092601,177405425,262312746,142523350,142523351,155166592,259466802,258219522,107416121,258219524,97955287,84081331,70544222,258788026,20967456,15057740,10383442,255797611,36619650,46486118,269086348,42419341,33428519,255270134,13592171,9306915,6096542,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,3834654,3834641,3834550,2297321,2297320,2297330,3834571,6128885,9328174,9360206,12303991,8310413,8310412,9362463,9362462,7993574,5088310,3087371,1802822,1802823,3087377,5088328,7993608,9362620,9362613,6132776,3836829,3836830,6132781,9362479,9362481,9362791,9360199,6130961,3835734,2297969,2297968,3835728,3759606,3759605,6010998,7993547,7993546,11942728,13651650,13651649,10936362,7236138,4561677,2743259,2743260,4561661,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143265,19143295,13671808,13671809,17027629,11942770,7993568,7993569,5088318,5088315,7993579,11942794,13672008,19143368,17027675,11942758,10905628,7212701,7212698,6130981,6130982,9360242,13668783,19143321,25726524,19095089,19095088,25451770,21858362,21858363,21858405,17027718,17027719,21858413,15786260,10936341,7236124,4561666,2743254,2743255,4561671,7236130,10936347,15786228,11942717,11942718,17027617,23286646,30702349,25726508,254208016,13632901,9360213,254304928,9335147,13632906,19095094,25631736,33398064,42387219,33583876,29167598,21858408,21858409,256360655,256476067,30702337,38063916,29500944,29500943,33583963,33583964,42607991,42614536,269335214,256671790,33583942,42333823,42608001,33590529,25794615,25591832,18982391,18982392,18982383,18982384,21858422,29167614,22138000,22138002,29167621,21858429,21858430,17027644,11942740,11942739,17027641,23286674,29167625,29167626,25591749,19143396,19143397,13668854,13668855,19143416,21216056,15247753,15247754,20240962,14524232,14524233,20240967,27151633,30702398,30702397,29474656,22138022,22138023,29474659,38037445,42608008,33583997,33583998,33583983,25788239,25788240,22138018,18982399,13545561,9273142,9273141,13545555,18982389,25591830,22138008,16021231,16021233,255887839,33352379,25591867,18982419,18982418,25591862,33352375,37727633,37727635,42608011,42608010,42608007,33583991,33583989,27151640,27151641,35249994,35249995,36941149,257802767,42333819 Dl.O(d2) = 98527071,112521784,261096743,152469563,164338213,263092601,177405425,262312746,142523350,142523351,155166592,259466802,258219522,107416121,258219524,97955287,84081331,70544222,258788026,20967456,15057740,10383442,255797611,36619650,46486118,269086348,42419341,33428519,255270134,13592171,9306915,6096542,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,2252172,2252174,2731896,4544501,6010990,6106973,6106975,9322961,6129016,3834653,3834654,3834641,3834550,2297321,2297320,2297330,3834571,6128885,9328174,9360206,12303991,8310413,8310412,9362463,9362462,7993574,5088310,3087371,1802822,1802823,3087377,5088328,7993608,9362620,9362613,6132776,3836829,3836830,6132781,9362479,9362481,9362791,9360199,6130961,3835734,2297969,2297968,3835728,3759606,3759605,6010998,7993547,7993546,11942728,13651650,13651649,10936362,7236138,4561677,2743259,2743260,4561661,2743253,2743252,4561656,7236116,9362741,9362742,13672181,19143265,19143295,13671808,13671809,17027629,11942770,7993568,7993569,5088318,5088315,7993579,11942794,13672008,19143368,17027675,11942758,10905628,7212701,7212698,6130981,6130982,9360242,13668783,19143321,25726524,19095089,19095088,25451770,21858362,21858363,21858405,17027718,17027719,21858413,15786260,10936341,7236124,4561666,2743254,2743255,4561671,7236130,10936347,15786228,11942717,11942718,17027617,23286646,30702349,25726508,254208016,13632901,9360213,254304928,9335147,13632906,19095094,25631736,33398064,42387219,33583876,29167598,21858408,21858409,256360655,256476067,30702337,38063916,29500944,29500943,33583963,33583964,42607991,42614536,269335214,256671790,33583942,42333823,42608001,33590529,25794615,25591832,18982391,18982392,18982383,18982384,21858422,29167614,22138000,22138002,29167621,21858429,21858430,17027644,11942740,11942739,17027641,23286674,29167625,29167626,25591749,19143396,19143397,13668854,13668855,19143416,21216056,15247753,15247754,20240962,14524232,14524233,20240967,27151633,30702398,30702397,29474656,22138022,22138023,29474659,38037445,42608008,33583997,33583998,33583983,25788239,25788240,22138018,18982399,13545561,9273142,9273141,13545555,18982389,25591830,22138008,16021231,16021233,255887839,33352379,25591867,18982419,18982418,25591862,33352375,37727633,37727635,42608011,42608010,42608007,33583991,33583989,27151640,27151641,35249994,35249995,36941149,257802767,42333819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9226291, s2 = 14218139, dlinesl.size( ) = 2 s1 = 9226291, s2 = 14218139, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 9226291, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 9565634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9565634, s2 = 10343132, int(edited[s2]) = 1 s1 = 2815669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4438528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8608167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8608167, s2 = 4847504, int(edited[s2]) = 0 s1 = 8608167, s2 = 4847504, d1 = 217, d2 = 79 Dl.O(d1) = 126391388,261648365 Dl.O(d2) = 200264647,199668810 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4269381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165498, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13249877, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165718, s2 = 14156587, int(edited[s2]) = 0 s1 = 14165718, s2 = 14156587, d1 = 46, d2 = 37 Dl.O(d1) = 274458894,265621936,265271056 Dl.O(d2) = 246525889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165718, s2 = 14156587, dlinesl.size( ) = 2 s1 = 14165718, s2 = 14156587, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 14165718, Dl.E( ) = 70, 2e-05 seconds used appending s1 = 4111028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6903898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4440660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4440660, s2 = 10539541, int(edited[s2]) = 0 s1 = 4440660, s2 = 10539541, d1 = 73, d2 = 107 Dl.O(d1) = 175197507 Dl.O(d2) = 59535187,258754467 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10347059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8724620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8724620, s2 = 10251599, int(edited[s2]) = 0 s1 = 8724620, s2 = 10251599, d1 = 94, d2 = 87 Dl.O(d1) = 264467487,215463323,265365529,274403111,265174244,263858362,184773481,263496667,175202806,164418426,152559540,139845905,139845903,152559538,164418422,164418436,152559545,152559544,262655141,175202858,164418468,272182184,261652833,262655149,152559553,152559554,164418452,175202838,184773486,193130527,184773475,175202829,164418447,152559551,262171981,152559557 Dl.O(d2) = 211368800,211368792,206359762,206359755,200302522,193130511,184773469,262658094,261656214,139845914,152559550,262655143,164418458,263097521,193130500,193130501,184773499,184773453,184773452,184773507,184773508,193130560,263498936,175202810,175202809,184773457,193130493,263498942,175202861,164418470,164418471,263097525,193130576,200302582,264467493,200302566,200302565,206359786,211368808,215463331,215463325,211368804,211368805,215463309,215463310,274088539,200302543,193130528,263856221,263856219 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9371701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9371701, s2 = 1557929, int(edited[s2]) = 0 s1 = 9371701, s2 = 1557929, d1 = 20, d2 = 24 Dl.O(d1) = 35323924,27200018,255399792,10008012,6577146,6577147,10008013,14545670,20273143,25859966,19202839,255030710,6154456,6154455,9394200,13715080,15396708,10641227,7025308,7025310,9522757,9394279,6154506,3850819,2307144,1338696,764647,764646,1338690,2307133,3850800,6154484,9394239,10661707,10661708,10638045,7022700,7022701,10638048,15392831,20136448,25834343,268124072,13697800,13697801,19181138,13697978,9381420,6145996,3845851,2304463,2304461,3845844,3845874,6146030,6154492,8939481,8939482,13116653,18463896,13697906,10978776,7266807,7266806,10638069,7022713,7022711,10638063,13933507,9564138,9564139,13698155,13103933,8930720,5829035,5829034,8930715,12987172,18296582,20137402,24986731,24986732,24471300,24471299,24965530,32635317,41521371,51799302,63585195,76671784,90535380,271511315,132710301,145932207,158302174,169675515,179866376,188838290,196614891,264610061,264961558,211371922,264467774,184777375,273702183,164423692,152565256,139851906,126480743,112612479,98617655,84693090,258051923,47038210,47038209,42100953,33147017,25406661,25406662,33147018,28634741,28634739,33147013,28634741,21395366,21395365,256322251,47038209,42100953,33147017,33147016,37149020,47038196,47038215,47038214,257447532,42100952,37149038,28634737,256322251,47038209,37149036,255835996,255036202,9164412,5997998,3750975,2246168,2246169,2465221,1425073,877478,865824,491040,275768,152363,152359,152403,152402,275890,491582,254159381 Dl.O(d2) = 42100952,37149038,37149039,42100946,52453365,257441453,37149048,37149034,37149035,47038207,58410890,58410881,47038201,37149025,28634730,28634729,37149022,37149028,28634732,28634733,37149033,47038204,58410887,71128830,84693088,268644754,73501790,255485300,254788608,39420347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9371701, s2 = 1557929, dlinesl.size( ) = 20 s1 = 4083795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4084794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10236228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7170537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7170537, s2 = 6871276, int(edited[s2]) = 0 s1 = 7170537, s2 = 6871276, d1 = 72, d2 = 170 Dl.O(d1) = 263530301,175279960 Dl.O(d2) = 54590937,54590938,66849586,80279137,270109922,122887265,136719247,259472538,119182090,104987148,256491014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7170537, s2 = 6871276, dlinesl.size( ) = 54 s1 = 7138432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7138432, s2 = 14680666, int(edited[s2]) = 0 s1 = 7138432, s2 = 14680666, d1 = 7, d2 = 7 Dl.O(d1) = 263102808,164508234,152663024,139964062,261442466 Dl.O(d2) = 263102808,164508234,152663024,139964062,261442466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7138432, s2 = 14680666, dlinesl.size( ) = 2 s1 = 7138432, s2 = 14680666, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7138432, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 14680665, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9384973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4274669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4275504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4275504, s2 = 11338536, int(edited[s2]) = 0 s1 = 4275504, s2 = 11338536, d1 = 18, d2 = 76 Dl.O(d1) = 164554845 Dl.O(d2) = 5426312,8409053,12440722,17622059,23971038,23971037,31466700,31466701,40150484,271168620,74446326,88058523,102043891,116101333,130010749,143344291,155889231,167506482,177980098,263633409,195281730,189877814,181000106,170880976,159552959,147193797,147193796,159552957,170880975,159552959,147193797,260881599,91709519,258416525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4275504, s2 = 11338536, dlinesl.size( ) = 32 s1 = 8628108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7220705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7035135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4276671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9669323, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9663785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4446939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14716027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3409224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3409224, s2 = 3376963, int(edited[s2]) = 0 s1 = 3409224, s2 = 3376963, d1 = 37, d2 = 48 Dl.O(d1) = 112924988,261669847,164661004 Dl.O(d2) = 255708070,70546985,57845005,57845004,70546983,84084011,97957833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3409224, s2 = 3376963, dlinesl.size( ) = 40 s1 = 4278767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4278767, s2 = 8646315, int(edited[s2]) = 0 s1 = 4278767, s2 = 8646315, d1 = 36, d2 = 67 Dl.O(d1) = 164665309 Dl.O(d2) = 175423857,184968319,273546595,200942410 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9463925, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10177303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10177303, s2 = 9480486, int(edited[s2]) = 0 s1 = 10177303, s2 = 9480486, d1 = 19, d2 = 16 Dl.O(d1) = 120284918,258948416,91888631,77963604,64768775,52849194,52849195,53376033,53376032,44505846,35128220,35128221,36728192,43895417,34623602,26634366,255485310,9761015,9761016,14199515,16196907,22346661,20037978,256213281,32349025,40877295,40877294,268272016,55351971,55351972,268460606,257126226,63832959,76940312,90816253,104993851,119188777,133023935,146257868,158632347,169995066,180164910,184973577,175429728 Dl.O(d2) = 126790054,112935530,259322563,71448906,58718229,47329589,37421268,28879415,21603863,15575861,15575860,21603862,28879414,21603864,15575863,10774362,7118961,7118960,10774360,15575859,21603860,28879409,23100863,23100865,23100806,17796399,12596913,8547800,8547799,12596909,17796390,24164202,30777513,30777514,37166338,37166339,29035795,29035796,37583166,47488168,58869604,48112779,38201649,36880194,28383677,21165835,15208910,15208911,21165837,28383678,36880195,46758992,40305712,31617471,24112310,24112309,31617470,30798068,23371488,17102659,17102660,23371490,30798072,39401314,49329565,49329559,39401307,30798065,30798066,268974511,60634950,73381104,259456659,115059689,128985296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10177303, s2 = 9480486, dlinesl.size( ) = 14 s1 = 4279120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7709076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7709076, s2 = 8397620, int(edited[s2]) = 0 s1 = 7709076, s2 = 8397620, d1 = 0, d2 = 2 Dl.O(d1) = 273335152 Dl.O(d2) = 261120724,98952225,85026971,258693194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7709076, s2 = 8397620, dlinesl.size( ) = 2 s1 = 7709076, s2 = 8397620, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7709076, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8173396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8173396, s2 = 3660651, int(edited[s2]) = 0 s1 = 8173396, s2 = 3660651, d1 = 6, d2 = 11 Dl.O(d1) = 272588691,194789896,274205129,264709600,215586839,211507606,273854127,258636572,112953022,258012026,152851277,164687267,273105645,258636574,164687270,175445120,273533137 Dl.O(d2) = 175445120,273533137,164687268,164687267,273105645,126807085,112953022,256284230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8173396, s2 = 3660651, dlinesl.size( ) = 2 s1 = 8173396, s2 = 3660651, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8173396, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 4279698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4279698, s2 = 6882898, int(edited[s2]) = 0 s1 = 4279698, s2 = 6882898, d1 = 21, d2 = 69 Dl.O(d1) = 164687676 Dl.O(d2) = 259628548,119146265,132981262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4279698, s2 = 6882898, dlinesl.size( ) = 36 s1 = 7297069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7666878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13246887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6713056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7036089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7036089, s2 = 14250366, int(edited[s2]) = 0 s1 = 7036089, s2 = 14250366, d1 = 5, d2 = 6 Dl.O(d1) = 261675147,164730612,175484038,273533897,193354305,200503282,206540428,211529639,215606342,218975558,221819044,224258117,265706311,229833395,231270588 Dl.O(d2) = 234783463,234783462,266506693,266584648,274663020,233724122,266104820,231270587,229833392,265545472,274192888,215606340,273980930,208472310,202792834,263107782,262184440,157348747,144935794,259937306,258691538,269318304,51193665,41037633,41037632,51193664,60106724,261760711,166047984,176103399,262230981,153639086,262709855,273492771,183048734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7036089, s2 = 14250366, dlinesl.size( ) = 2 s1 = 7036089, s2 = 14250366, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 7036089, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7036093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4450355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13825515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13825515, s2 = 119180, int(edited[s2]) = 0 s1 = 13825515, s2 = 119180, d1 = 0, d2 = 0 Dl.O(d1) = 221827214,224265723,226380392,228222172,228222175,226380397,224265728,221827217,218984980,215617522,211543165,206556362,200521044,193372762,185042887,175503585,164751444,152920753,140230346,126882444,113029533,269773686,256839826,58816638,71545011,85116170,99041103,259279720,140230350,152920757,164751447,175160954,164370537,152505392,139787010,259917532,258671436,71062568,58346273,46976973,46976974,46976975,37093722,28587522,21356665,15379421,254499222,4410666,2644654,1528234,866755,488961,274631,152291,83563,83559,152354,152363,152359,152391,152386,275828,491451,871450,1535482,2654681,4424232,7032583,10650688,15408711,21393831,28632894,37146936,31531352,24029304,24029305,31531356,40217148,268271846,33751414,33751413,32099930,24524715,24524713,32099925,37083871,37083870,42162452,33202548,25455648,25455647,28574890,28574889,22009711,15908124,15908123,22009709,25943440,19280065,19280064,19280067,19280066,19280060,19280061,25943439,24563519,19280315,19280314,24809982,18321289,18321290,15354622,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,4024601,4024599,267943885,9128455,5973675 Dl.O(d2) = 221827214,224265723,226380392,228222172,228222175,226380397,224265728,221827217,218984980,215617522,211543165,206556362,200521044,193372762,185042887,175503585,164751444,152920753,140230346,126882444,113029533,269773686,256839826,58816638,71545011,85116170,99041103,259279720,140230350,152920757,164751447,175160954,164370537,152505392,139787010,259917532,258671436,71062568,58346273,46976973,46976974,46976975,37093722,28587522,21356665,15379421,254499222,4410666,2644654,1528234,866755,488961,274631,152291,83563,83559,152354,152363,152359,152391,152386,275828,491451,871450,1535482,2654681,4424232,7032583,10650688,15408711,21393831,28632894,37146936,31531352,24029304,24029305,31531356,40217148,268271846,33751414,33751413,32099930,24524715,24524713,32099925,37083871,37083870,42162452,33202548,25455648,25455647,28574890,28574889,22009711,15908124,15908123,22009709,25943440,19280065,19280064,19280067,19280066,19280060,19280061,25943439,24563519,19280315,19280314,24809982,18321289,18321290,15354622,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,4024601,4024599,267943885,9128455,5973675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13825515, s2 = 119180, dlinesl.size( ) = 2 s1 = 13825515, s2 = 119180, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 13825515, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7036267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7036267, s2 = 14704296, int(edited[s2]) = 0 s1 = 7036267, s2 = 14704296, d1 = 58, d2 = 69 Dl.O(d1) = 261676799 Dl.O(d2) = 265716927 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4451157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4451157, s2 = 16275753, int(edited[s2]) = 0 s1 = 4451157, s2 = 16275753, d1 = 15, d2 = 33 Dl.O(d1) = 175521268 Dl.O(d2) = 151582483,163465353,174312639,173604184,162574517,261970786,137407397,260270496,67710867,258535879,77455595,64299147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4451157, s2 = 16275753, dlinesl.size( ) = 2 s1 = 4451157, s2 = 16275753, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4451157, Dl.E( ) = 36, 3.1e-05 seconds used appending s1 = 7107819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8493808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4451977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4451977, s2 = 15971787, int(edited[s2]) = 0 s1 = 4451977, s2 = 15971787, d1 = 62, d2 = 64 Dl.O(d1) = 200567986,193428713,185107040,175573074,164822366,152990063,140297256,126947498 Dl.O(d2) = 268262348,3374366,3374365,3038645,1769245,1769246,1992746,3383662,2058405,1181068,663373,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363035,654681,1166504,2016416,2016417,1156999,649127,649128,1157001,2021886,267802041,1997291,1997292,3389785,5500115,3415406,3415407,5529482,8531406,268748910,5520496,7897345,5018362,5018361,254274763,1986237,3374919,254419871,2050386,2050387,2036174,1166414,1166417,1998289,1998110,1142031,1142033,1176074,254282617,5575393,254813567,5021346,3039054,1769566,1769565,3039053,5020371,5020372,3038130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4451977, s2 = 15971787, dlinesl.size( ) = 2 s1 = 4451977, s2 = 15971787, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4451977, Dl.E( ) = 72, 2e-05 seconds used appending s1 = 4452483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9234679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6997109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6997109, s2 = 11304281, int(edited[s2]) = 0 s1 = 6997109, s2 = 11304281, d1 = 8, d2 = 2 Dl.O(d1) = 261141122,165010024,153190411,140507071 Dl.O(d2) = 259344838,127160149,127160147,113300396,99296958,85352045,71761759,59017743,47613467,37688283,29126175,254753922,41037859,40222573,37818450,29253183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6997109, s2 = 11304281, dlinesl.size( ) = 2 s1 = 6997109, s2 = 11304281, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 6997109, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 4285421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4285421, s2 = 6992156, int(edited[s2]) = 0 s1 = 4285421, s2 = 6992156, d1 = 33, d2 = 61 Dl.O(d1) = 165024173 Dl.O(d2) = 261086967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4285421, s2 = 6992156, dlinesl.size( ) = 2 s1 = 4285421, s2 = 6992156, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4285421, Dl.E( ) = 106, 5.89e-05 seconds used appending s1 = 8694434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8694434, s2 = 11658199, int(edited[s2]) = 0 s1 = 8694434, s2 = 11658199, d1 = 5, d2 = 9 Dl.O(d1) = 273676482,225112982,225112981,226424926,224315612,221885105,219052952,215699781,215699780,215699782,211645816,206686836,200685186,262591838,175762105,165030373,153211790,140529652,127183085,113323605,99320177,85375337,71785840,59043938,47642137,47642139,59043941,59043943,59043944,71785848,85375340,71785842,71785843,85375342,99320178,113323607,127183090,131021040,257333372,153211789,165030372 Dl.O(d2) = 185274076,185274093,185274085,175762112,165030377,153211794,261686370,260559410,259341511,260560753,140529657,153211793,263124723,193572250,200685191,193572254,185274096,263123818,153211819,140529717,127183187,113323760,99320311,85375447,71785922,59043990,257480464,29160265,21851835,15780947,10932281,10932280,15780942,21851830,29160253,37720120,47642164,59043983,59043984,71785917,259341517,105031662,90852480,90852481,76973942,63862388,52042918,52042917,63862386,76973939,90852498,105031669,103538219,90852490,76973934,76973933,90852487,105031664,101929604,101929603,99320309,97588363,83714909,70193186,70193185,83714906,97588361,83864981,83864983,84286586,84286587,98182531,260196463,101929583,101929585,260466284,83864980,83864977,70339686,57649127,57649128,70339689,83864973,74354406,70339728,57649147,46304368,46304369,57649148,70339730,83865012,83865013,97723827,111644618,115761299,259545478,87740808,87740819,74135131,61353497,61353495,74135128,78358155,65077647,65077648,78358141,78358142,74135121,61353492,61353491,74135116,87740809,98275886,98275887,97723831,97723832,111644621,125447178,125447132,125447133,115974273,101929735,260125931,261295143,119644177,105407494,91185600,260256425,119644199,105407514,105407515,119644202,109514080,109514081,123705792,260314336,95259955,109514043,113542129,261154935,127412555,127412554,129659109,142987420,129659113,129659114,142987424,140768351,261141830,109514038,109514039,123705787,123705789,260852451,119644190,119644191,105407522,91185620,77266231,77266232,91185622,271329041,127412588,260256433,105407501,106696230,120948305,134744407,140768355,127412520,113542098,99530727,99530726,85583843,85583842,260577767,119644174,133517007,140529783,127183278,127183277,127183262,113323832,99320377,85375506,85375507,99320380,113323837,113542168,127412526,113542113,99530744,85583816,85583817,99530745,85583840,74135181,61353534,49871736,39849448,31167383,31167384,39849429,257636767,74135097,74135163,270898529,78358121,65077628,53093029,42643054,33616012,33616011,42643052,53093026,65077643,78358145,87107370,87107371,101105406,87107385,73488624,60739504,60739503,73488621,87107381,101105417,100777172,86796565,81270393,81270392,92392057,270336022,55461297,55461296,44612797,35231623,35231624,44612803,55461305,60437468,73184315,86796575,95329520,86796568,81270300,67802686,67802685,81270298,270336024,258542543,67802845,73184320,73184319,65077624,55461203,49033578,39104089,30507490,30507489,39104086,256971356,35231589,27136995,27136996,35231599,44612733,35231588,35231587,44612732,55461209,59943492,59943493,55461232,55461233,59201673,59201671,71940898,85528742,257922112,59943489,67802800,55461278,55461277,59943503,59201663,47801913,44612787,257322935,67802811,71940888,257495723,257495721,48551317,48551315,55461286,67802808,259171363,270833025,99475169,85528741,71940895,71940896,85528718,71940909,71940908,62008178,62008177,74804987,81270284,86281578,72682480,269196270,48551294,59943488,72682478,72682491,85528738,85528722,71940881,71940880,258729643,59201640,47801900,47801901,59201642,71940866,71940912,71940911,259354787,99475136,99475139,102444058,102444057,113485631,260573149,113323647,99320208,85375362,71785859,59043949,257480460,29160243,29160245,37720113,47642155,59043964,71785894,71785881,71785882,85375401,99320263,99320254,99320253,99320265,260506315,111891069,111891068,112340090,270802389,84447897,98357522,112340094,271175560,113323680,113323679,113323641,99320203,85375358,85375359,71785861,59043952,59043951,71785854,85375357,99320201,113323637,126840269,126840270,140188829,152880134,152880135,152880143,140188825,126840258,126840259,127183148,127183149,140188827,126840264,112986269,112986268,126840216,112986229,112986230,126840219,140188806,140188814,140188815,126840256,112986261,98996639,85071003,71498922,58769545,58769544,71498920,85071001,98996636,112986257,98996680,98996679,112986299,126840277,112986302,112986303,115974121,129871820,259174278,112986342,98996720,98996721,112986345,112986313,98996685,85071029,85071030,98996689,112986316,121783965,258649292,99307912,101929554,87956691,87956692,99320215,112986285,115974110,101929542,259174260,74354342,87956682,101929540,115974108,120135681,120135682,123812195,123812204,270665876,87956687,87956688,101929547,112986326,112986327,105604038,91379227,77454227,64297901,52436785,42088111,257194247,42317788,257210229,57840394,46484268,36617805,36617802,46484262,42317804,33337397,33337396,42317800,42317806,52705011,64605536,77788430,91379292,91379291,105604079,105604138,111891089,105604136,91379377,91379376,85375425,71785904,59043975,52436913,42088187,256123809,25398332,33136359,257194257,64298077,77454436,77454427,64298070,64298071,64605528,77788420,91379416,91379312,77454318,77454317,259653551,77454374,64298017,64298016,64298025,52436868,257784079,77454381,77454391,77454390,91379284,91379283,91379344,91379345,105604116,91716191,91716192,105604131,105604084,91379300,77454307,64297959,52436818,52436819,42088166,33136349,25398326,25398318,18810282,13400520,13400519,18810281,25398317,33136334,42088135,52436829,64297972,64297909,64297908,77454235,91379236,91379252,77454256,64297921,52436882,52436881,64195984,77343363,64297984,52436843,42088143,42088142,52436839,64297980,71930680,59191079,47790803,47790802,256639474,85518336,77454291,64297951,64297952,77454292,67585992,67585993,81053555,95110960,95110924,95110925,258234826,270514872,119845218,119845217,109365172,95110968,81053565,67586006,55244370,44396264,35020893,35020894,44396266,55244372,67586008,77454326,88485058,74849337,74849336,88485055,95110958,100508554,100508553,91379250,257043368,81053503,95110930,95110941,81053517,81053518,67585984,55244358,55244357,67585983,74849338,62051120,50558700,40522260,40522261,50558703,62051124,61584090,61584089,74360624,62051094,50558684,50558685,54588258,51501262,50104217,40083632,31402998,23911028,17567783,17567782,23911023,31402990,40083615,50104187,40522242,31825244,31825243,40522240,50558666,54588263,66847106,80276692,87962922,80276746,66847149,66847150,66847133,54588277,43843819,34572028,34572027,34572024,26584951,26584954,34572031,43843823,257629574,71930718,59191102,47790821,37866198,37866199,47790823,59191104,71930724,85518390,99464561,113475287,109581322,99464564,85518394,81266416,256639476,47790805,37866184,29296884,29296885,37866187,47790808,256639480,58194186,54614059,257480466,21851841,21851840,29160274,37720143,257481815,71785934,85375455,74360600,61584073,257151024,58194148,58194149,70906827,70906794,70906795,84463053,98372231,84463101,84463100,257563166,70906820,58194175,46828163,36950065,36950066,46828164,47642208,58194084,58194085,257588936,46828195,46828015,36949928,36949929,36949936,28449669,21223082,15253469,10523278,6940135,4361374,4361375,6940138,10523286,15253487,21223115,21223116,28449681,28449755,21223141,21223140,28449753,36950033,36949974,28449701,255818067,15253504,15253505,21223148,17126596,17126595,23398593,30826255,39430379,36950007,268625377,21851858,21223137,15253499,10523292,10523293,15253501,15253495,10523290,10523291,15253497,21223133,21223092,15253473,15253472,15780935,10932275,10932276,255430919,29160238,37720100,47642141,59043944,71785848,85375340,85375339,75308322,256766634,50828476,269912499,62410339,50828473,40724533,31977462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8694434, s2 = 11658199, dlinesl.size( ) = 2 s1 = 8694434, s2 = 11658199, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8694434, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 4454246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4454246, s2 = 7726340, int(edited[s2]) = 0 s1 = 4454246, s2 = 7726340, d1 = 22, d2 = 74 Dl.O(d1) = 175767618 Dl.O(d2) = 274123532,264300630,264104911,200345587,273829738,164492479,263031296,98712978,258682249,47115863,37218513,28693432,21442367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4454246, s2 = 7726340, dlinesl.size( ) = 18 s1 = 11656700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656700, s2 = 7598954, int(edited[s2]) = 0 s1 = 11656700, s2 = 7598954, d1 = 1, d2 = 1 Dl.O(d1) = 31020005,39697047,49715821,61194487,71818791,59077539,47677426,37755256,29193972,21882083,267827508,21881677,29193576,26029485,21864366,15791327,15791326,15793455,15793454,15542372,10749074,10749073,15542370,10941888,7240263,7240264,10941889,10780684,10780683,15584264,15791359,15584268,15584269,267737200,37733360,47655107,59055586,71796310,85384623,99328478,113331014,255059356,153217665,165036137,268933120,193578732,200691336,206692245,211650424,215703519,219056034,221887640,262204970,228263667,227194600,225193654,222891362,220217915,217060711,213260058,208615136,208615135,202963110,273146842,261790290,169001065,157538671,145104605,271367418,258206594 Dl.O(d2) = 31020005,39697047,49715821,61194487,71818791,59077539,47677426,37755256,29193972,21882083,267827508,21881677,29193576,26029485,21864366,15791327,15791326,15793455,15793454,15542372,10749074,10749073,15542370,10941888,7240263,7240264,10941889,10780684,10780683,15584264,15791359,15584268,15584269,267737200,37733360,47655107,59055586,71796310,85384623,99328478,113331014,255059356,153217665,165036137,268933120,193578732,200691336,206692245,211650424,215703519,219056034,221887640,262204970,228263667,227194600,225193654,222891362,220217915,217060711,213260058,208615136,208615135,202963110,273146842,261790290,169001065,157538671,145104605,271367418,258206594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656700, s2 = 7598954, dlinesl.size( ) = 2 s1 = 11656700, s2 = 7598954, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 11656700, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7622644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8585656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8585656, s2 = 9066369, int(edited[s2]) = 0 s1 = 8585656, s2 = 9066369, d1 = 25, d2 = 15 Dl.O(d1) = 257337651,257337653,68309632,81833345,272479802,150788367,262108914,260440910,259210376,149039402,135811569,257952160,161333349,257354634,136551151,255770476,254990832,255349452,55995843,55995844,55991075,55991077,49555240,39590698,39590702,49555259,45025951,44289089,34921799,26852856,26852859,19979033,19979031,26852914,256719029,19769045,14160574,14160573,19769042,26567990,34549337,43812805,40585664,40585666,50631261,54049430,43483985,34356207,34356205 Dl.O(d2) = 2823691,4686326,7416034,255080951,22226087,22226088,29571144,255457317,11176113,7414987,7414986,11176111,16091403,22224548,22224550,22224549,16092814,16092815,11177405,7415989,7415988,11177401,16092891,22226134,22226136,22226300,22226148,16092761,16092760,16092892,22226266,29169195,37729478,29169548,29169549,26896028,26896027,27026195,20133898,20133900,15787680,10937460,10937461,254552484,20014360,20014359,16089941,16089940,22222765,22227530,18310788,12998186,8849434,7131163,4489388,2697049,1562339,888205,888204,1562335,2697042,4489378,7131145,7131146,7131147,255045365,10793575,10793574,13372821,9139822,254442745,254203709,1298418,2239065,3740020,5981007,9139812,13372802,18777381,18777382,18777375,18777376,25360002,33093358,42041436,52385488,42041432,33093356,33093355,42041430,52385484,64241396,259022343,77392238,64241399,64241400,77392239,257474726,66925785,54669268,43926815,43926816,54669270,66925789,75374922,62460343,62460342,75374920,66926085,66926086,80352127,80351776,66925781,54669265,43926813,43926814,34653503,26661916,19847175,19847176,256202865,26662148,19847406,19847405,26662145,34653738,43927086,54669542,66926088,66926092,66926093,259428434,258357693,257156243,41405650,51646362,63389074,257602948,51646331,269844026,41405626,32547632,256603363,255976174,32547627,24898475,18395907,18395906,24898473,32547626,41405617,51646335,63389056,63389054,257156237,32547624,24898471,18395915,268283787,32547648,32547629,24898477,18395909,13066382,8903677,5810032,5810033,8903679,13066384,18395912,24898485,32547642,257156239,257156231,256090495,256090497,24898469,24898468,32547616,32547615,41405606,41405629,41405630,51646344,258071814,51646348,41405636,32547645,32547644,41405634,51646321,41405600,41405601,37418000,37418001,256603359,32547617,41405609,49239816,39312993,268074136,23297942,23421240,30851706,37993951,29431715,22099869,15990407,11100571,7361578,4650022,4650021,7361576,11100567,15990401,255885833,37993931,47909981,59304521,72040305,85628344,90897805,77017926,63906350,52087097,41772991,37483669,32851735,25144814,18589111,13209974,13209975,18589112,269069071,32851733,41772990,32851737,25144815,269069071,32851733,41772990,32851737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8585656, s2 = 9066369, dlinesl.size( ) = 2 s1 = 8585656, s2 = 9066369, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 8585656, Dl.E( ) = 40, 1.69e-05 seconds used appending s1 = 10357855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4989393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4457445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13603081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9460337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8674528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9204494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9204494, s2 = 3427029, int(edited[s2]) = 0 s1 = 9204494, s2 = 3427029, d1 = 36, d2 = 30 Dl.O(d1) = 274096169,165200480,175908195,175908196 Dl.O(d2) = 113489743,259355189,71944462,59205346,47805921,37882286,37882285,47805920,59205345,258730077,71944474,70518232,57816968,57816969,70518234,84053348,97924062,97924057,97924058,257321794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9204494, s2 = 3427029, dlinesl.size( ) = 38 s1 = 8296723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8296723, s2 = 15312948, int(edited[s2]) = 0 s1 = 8296723, s2 = 15312948, d1 = 44, d2 = 35 Dl.O(d1) = 48673052,52015078,52015079,41704659,41704657,40220488,40220487,41403887,32546060,24897085,18394748,18394750,24897087,32546064,41403839,32546007,257156127,53378251,65382138,71957169,85545082,99491999,272203405,262687982,165214664,153411697,153411696,153411699 Dl.O(d2) = 206775618,273986116,215769575,219114815,264640952,204129340,197622179,189980310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8296723, s2 = 15312948, dlinesl.size( ) = 42 s1 = 4290888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4290888, s2 = 11659967, int(edited[s2]) = 0 s1 = 4290888, s2 = 11659967, d1 = 2, d2 = 33 Dl.O(d1) = 165221233 Dl.O(d2) = 115791497,101745937,87773118,87773117,101745935,87773120,74168586,61388028,49907667,39887108,31208249,23721841,17397990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4290888, s2 = 11659967, dlinesl.size( ) = 2 s1 = 4290888, s2 = 11659967, "passes" = passes Sat Dec 09 04:19:06 2017: s1 = 4290888, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 11660368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9039461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9036494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7686307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7686307, s2 = 6893332, int(edited[s2]) = 0 s1 = 7686307, s2 = 6893332, d1 = 42, d2 = 32 Dl.O(d1) = 272551575 Dl.O(d2) = 259767235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7686307, s2 = 6893332, dlinesl.size( ) = 32 s1 = 8702215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7141672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4749842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7765434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7765434, s2 = 7646475, int(edited[s2]) = 0 s1 = 7765434, s2 = 7646475, d1 = 12, d2 = 8 Dl.O(d1) = 274618116,263890575,175988136 Dl.O(d2) = 261706537,270834907,1622507,2797029,4643419,6429884,4033876,4033878,5960720,6435811,6435812,254966941,19875753,19881192,14244838,9792284,9792285,14244846,19881209,26675871,19858616,19101003,19101005,25307513,25307514,254661762,43943176,268337880,268337878,268827140,43891089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7765434, s2 = 7646475, dlinesl.size( ) = 8 s1 = 7038800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7038800, s2 = 15066674, int(edited[s2]) = 0 s1 = 7038800, s2 = 15066674, d1 = 42, d2 = 55 Dl.O(d1) = 261706795 Dl.O(d2) = 46774428,36896316,36896315,46774430,58142252,70856490,84414027,98323689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7038800, s2 = 15066674, dlinesl.size( ) = 28 s1 = 8560554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4293313, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6914480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4461640, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14704295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14704295, s2 = 7036266, int(edited[s2]) = 0 s1 = 14704295, s2 = 7036266, d1 = 19, d2 = 8 Dl.O(d1) = 265716926,264738926,273707044 Dl.O(d2) = 261676798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14704295, s2 = 7036266, dlinesl.size( ) = 14 s1 = 4462082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8613073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8645717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8645717, s2 = 8405004, int(edited[s2]) = 0 s1 = 8645717, s2 = 8405004, d1 = 37, d2 = 25 Dl.O(d1) = 58382305,47011231,37124290,37124291,269777434,258666392,71098849 Dl.O(d2) = 113663539,99649754,85701075,72115269,59383136,47993473,38080939,29516424,22174692,16049985,11144345,7391847,4669956,2813576,1632331,928278,523213,293235,162178,89146,89147,162181,293246,523245,928308,1632379,2813658,4670092,7391905,4670006,4670005,7391901,4670058,2813810,1632462,1632461,2813805,4670324,4669585,254235509,928211,523174,254099753,162160,89133 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7042494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7042494, s2 = 6946454, int(edited[s2]) = 0 s1 = 7042494, s2 = 6946454, d1 = 8, d2 = 11 Dl.O(d1) = 261753603 Dl.O(d2) = 260487080,29518059,29518060,38082613,44788667,55695854,260626511,114818423,100766398,86785626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7042494, s2 = 6946454, dlinesl.size( ) = 8 s1 = 9429242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7722004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7722004, s2 = 11127980, int(edited[s2]) = 0 s1 = 7722004, s2 = 11127980, d1 = 98, d2 = 83 Dl.O(d1) = 273705880,165393670 Dl.O(d2) = 179648952,258975436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7722004, s2 = 11127980, dlinesl.size( ) = 28 s1 = 7371310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7371310, s2 = 9239760, int(edited[s2]) = 0 s1 = 7371310, s2 = 9239760, d1 = 21, d2 = 26 Dl.O(d1) = 265953498,263797020,176078602 Dl.O(d2) = 264987613,215839604,264682294,200885587,263797020,263797018,165397233,262080232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7371310, s2 = 9239760, dlinesl.size( ) = 32 s1 = 14165620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8646095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3686186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10335219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4466702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4466702, s2 = 5550101, int(edited[s2]) = 0 s1 = 4466702, s2 = 5550101, d1 = 30, d2 = 40 Dl.O(d1) = 176174916 Dl.O(d2) = 227962475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4466702, s2 = 5550101, dlinesl.size( ) = 2 s1 = 4466702, s2 = 5550101, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4466702, Dl.E( ) = 60, 2.1e-05 seconds used appending s1 = 4300444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4467348, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10357516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4467462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165504, s2 = 9702378, int(edited[s2]) = 0 s1 = 14165504, s2 = 9702378, d1 = 1, d2 = 1 Dl.O(d1) = 21965620,25350047,22635342,16447495,11459811,11459812,256966845,59880703,72619095,86217520,100181165,114213261,128101755,141467239,141467242,141467241,154136824,165900797,176551741,185977764,194195483,201234238,206963343,201004316,193936128,185685626,176226293,165547350,156176585,153767353,153767354,165547343,176226292,185685624,193936127,201004315,206963342,211885711,215907931,217416885,264618883,203719932,263706023,180539645,170407358,159073772,146710444,133464076,133464075,146710442,146710445,133464077,133464078,119600441,105370190,91152434,77236752,77236753,91152435,105370192,119600443,261418153,262454709,170407366,178395461,167980598,156414798,143905036,130593445,116764037,102669825,88662038,75013863,62193735,50676316,268695445,31905840,31905841,24374652,17976524,12739498,8657068,5631102,3499166,3499165,5631099,8657061,12739486,17976516,256055423,40619534,50676285,62193711,75013839,88662011,102669792,260765689,142521779,136350086,122365123,122365122,136350083,136350088,122365124,107938003,93500099,79363075,79363076,93500100,107938004,122365125,136350089,149617152,161915563,161915576,161915577,173068468,176178636,176178637,176178638,165500362,153721936,260138870,113837455,113837454,127706308,141055594,153721933,165500359,171449067,171449066,165500356,165500357 Dl.O(d2) = 21965620,25350047,22635342,16447495,11459811,11459812,256966845,59880703,72619095,86217520,100181165,114213261,128101755,141467239,141467242,141467241,154136824,165900797,176551741,185977764,194195483,201234238,206963343,201004316,193936128,185685626,176226293,165547350,156176585,153767353,153767354,165547343,176226292,185685624,193936127,201004315,206963342,211885711,215907931,217416885,264618883,203719932,263706023,180539645,170407358,159073772,146710444,133464076,133464075,146710442,146710445,133464077,133464078,119600441,105370190,91152434,77236752,77236753,91152435,105370192,119600443,261418153,262454709,170407366,178395461,167980598,156414798,143905036,130593445,116764037,102669825,88662038,75013863,62193735,50676316,268695445,31905840,31905841,24374652,17976524,12739498,8657068,5631102,3499166,3499165,5631099,8657061,12739486,17976516,256055423,40619534,50676285,62193711,75013839,88662011,102669792,260765689,142521779,136350086,122365123,122365122,136350083,136350088,122365124,107938003,93500099,79363075,79363076,93500100,107938004,122365125,136350089,149617152,161915563,161915576,161915577,173068468,176178636,176178637,176178638,165500362,153721936,260138870,113837455,113837454,127706308,141055594,153721933,165500359,171449067,171449066,165500356,165500357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165504, s2 = 9702378, dlinesl.size( ) = 2 s1 = 14165504, s2 = 9702378, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165504, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7182040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7182040, s2 = 7199025, int(edited[s2]) = 0 s1 = 7182040, s2 = 7199025, d1 = 10, d2 = 13 Dl.O(d1) = 263674522 Dl.O(d2) = 263905187 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3443836, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4301896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9325707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4118470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8570688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8570688, s2 = 11294734, int(edited[s2]) = 0 s1 = 8570688, s2 = 11294734, d1 = 25, d2 = 28 Dl.O(d1) = 263083900,185779845,176335412 Dl.O(d2) = 261503602,176934420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8570688, s2 = 11294734, dlinesl.size( ) = 2 s1 = 8570688, s2 = 11294734, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8570688, Dl.E( ) = 40, 1.19e-05 seconds used appending s1 = 10254968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7969122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13859731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224325, s2 = 285416, int(edited[s2]) = 0 s1 = 7224325, s2 = 285416, d1 = 60, d2 = 105 Dl.O(d1) = 264227380 Dl.O(d2) = 36581708,28109483,20932881,15024842,15024841,10352747,6817363,4276342,4276344,6817366,6776429,6776428,255000465,10328081,6796631,4261698,4261696,5927669,5927668,4276822,2557067,2557066,2971784,2560052,2560049,4281851,6825321,10335704,10305663,6777341,4248142,4248144,5936985,5936984,9078076,6865848,4309062,4309060,5931608,3708876,2221089,1288455,1288457,2221098,3708898,5931639,9070945,9079771,13297966,10369147,6831462,6831463,10369148,14982529,14982528,15499212,10718795,7081679,4458598,2678462,1551481,882052,882054,1551484,2678468,4458578,2678444,2678443,2678449,4458590,7081666,10718780,13372870,10718793,7081678,7081677,10718789,267910220,28768002,37300894,47207387,58597527,71330347,81253548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224325, s2 = 285416, dlinesl.size( ) = 2 s1 = 7224325, s2 = 285416, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7224325, Dl.E( ) = 112, 3.91e-05 seconds used appending s1 = 7072247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8499657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348828, s2 = 8615404, int(edited[s2]) = 0 s1 = 10348828, s2 = 8615404, d1 = 37, d2 = 33 Dl.O(d1) = 264944015,274504851,237169549,266473630,266291588,266069600,225546269,265318028,264903738,134103834,260341430,64753530,52834303,42430557,33438436,33438435,257217017,64753527,77947502,70782702,58065261,46692757,36809300,28312595,21102229,15157916,10453580,6890895,6890896,10453582,15157922,254506526 Dl.O(d2) = 154071631,154071637,141397659,141397658,154071634,165840879,166421324,176496225,262290440,142070843,128711362,260250558,86777419,258379704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348828, s2 = 8615404, dlinesl.size( ) = 14 s1 = 8790595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8579916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8246977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8246977, s2 = 11276584, int(edited[s2]) = 0 s1 = 8246977, s2 = 11276584, d1 = 50, d2 = 45 Dl.O(d1) = 7616973,11451771,15297654,11414156,7585433,7585432,11414151,7618214,4820083,2904626,2904624,4820076,7595206,7595208,7605595,7605596,11438011,11456694,7620504,7620503,11446355,16431216,11457550,11457551,256423527,48484745,59876382,72554061,272222460,165855702,263169414,264233591 Dl.O(d2) = 113431535,259351659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8246977, s2 = 11276584, dlinesl.size( ) = 38 s1 = 15157161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7692744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7692744, s2 = 10358036, int(edited[s2]) = 0 s1 = 7692744, s2 = 10358036, d1 = 52, d2 = 44 Dl.O(d1) = 272814614,263056980 Dl.O(d2) = 261313894,102261117,260145668,88262959,271416839,273392631,202263000,264824790,177794372,167299505 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4473539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8773977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8773977, s2 = 8677471, int(edited[s2]) = 0 s1 = 8773977, s2 = 8677471, d1 = 36, d2 = 33 Dl.O(d1) = 262192510,186493584,264259125,207492099,212333245,216288305,265586285,224714403,226779195,265571324,264771034,264771036,212036540,264516244,176532160,185961044,177077943,262296216,273145149,194586039,274349776 Dl.O(d2) = 185961041,176532159,165877818,154110843,141439828,128074454,261199134,269821073,255103868,19860643,16658640,11626132,11626135,16658650,22373441,16218139,14087073,9689508,9689509,7587375,256960749,269818881,109439093,123632109,261556121,263435401,194180670,264265646,261800576,260680200,60780930,270360637,41030103,256692854,12896190,255617507,268710689 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7176907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10191495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7142780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7142780, s2 = 13302858, int(edited[s2]) = 0 s1 = 7142780, s2 = 13302858, d1 = 4, d2 = 12 Dl.O(d1) = 263151536 Dl.O(d2) = 72664292,269352385,32774913,25077582,18534482,13169401,8977038,5860533,3658597,2188793,2188794,3658604,5860549,8977065,13169435,14331862,9845317,6466243,4224855,4224854,2526245,2526246,4224883,6742290,10260275,14921070,20818043,15739018,10900357,10900356,15739017,21798723,29096189,37645196,40350330,40350329,46677502,43421298,34321570,34321571,33169552,33169553,33070415,32775009,25077702,25077701,31712780,24817067,24817066,24169162,17801711,12601486,10900560,7209212,7209213,6154464,6154463,9394210,13715104,19202859,21794944,15735844,10898329,10898331,12599850,12599851,17799600,22317227,16172022,11239445,7459794,7459796,11239450,7459806,7459805,11239461,16172035,22317245,29668716,37540190,28994799,21710325,15668100,15668095,15668096,21710321,21796924,21796923,21302068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7142780, s2 = 13302858, dlinesl.size( ) = 8 s1 = 7247572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9341788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4476355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4310667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4310667, s2 = 8932022, int(edited[s2]) = 0 s1 = 4310667, s2 = 8932022, d1 = 211, d2 = 221 Dl.O(d1) = 165964260,176609271,186028873,194240557,273997349 Dl.O(d2) = 239685712,239099605,238461518 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 4476392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4310897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8248093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7002489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10155503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155503, s2 = 4313056, int(edited[s2]) = 0 s1 = 10155503, s2 = 4313056, d1 = 3, d2 = 15 Dl.O(d1) = 257721291,255923902,17089981,15237526,10511799,6931775,6931677,4603545,4603541,5574143,3457820,2049946,1175662,659974,659976,1175614,2049836,3457541,5573645,5574665,8577996,5573593,5573594,8578000,12633649,15237884,10511666,6931659,6931660,10511672,15237896,14196977,9759416,6416860,6416859,9759407,11291688,11291686,16241675,11891624,7951296,7951294,11891619,14086877,19653030,26387515,26629986,33250089,255667311,254923701,6027816,5861137,5861138,3999235,2396798,1387078,788885,446860,446859,788881,1387070,2396776,3999186,6372646,3998911,3998908,6372635,9687917,6374265,6374266,9690837,9690838,14089377,19656318,22872879,16644831,11612761,11612759,16644828,22587755,23038930,16794255,11742596,11742597,7908335,7312216,4615478,4615479,7312220,11037799,14092953,14092952,14096223,16571147,17846020,16567973,11549211,7683734,7683736,11549222,14090796,10733681,7091923,4465314,4465316,7091931,10247299,10247298,10384564,15059025,14090330,9691437,6374500,3999795,3999796,6374506,9691453,12028427,11838577,11838578,16915917,17195024,17195028,14903760,14903759 Dl.O(d2) = 166027197,273362855,194291707,186084253,262747323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 4313131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13707491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4478972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8633883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4411342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8543164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4452838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4452838, s2 = 5202613, int(edited[s2]) = 0 s1 = 4452838, s2 = 5202613, d1 = 15, d2 = 21 Dl.O(d1) = 175641360 Dl.O(d2) = 216123021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4452838, s2 = 5202613, dlinesl.size( ) = 2 s1 = 4452838, s2 = 5202613, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4452838, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 7043488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9036877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9036877, s2 = 7920668, int(edited[s2]) = 0 s1 = 9036877, s2 = 7920668, d1 = 55, d2 = 44 Dl.O(d1) = 115805355,261282127,261669938 Dl.O(d2) = 256142435,19024533,13579156,13579157,19024535,14230930,14230932,14225861,14225858,9785834,6433671,6433673,9785846,9781180,6430896,4034477,4034476,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146882,3599055,5776411,255317979,6433484 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8584832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4481901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7044020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7044020, s2 = 6543971, int(edited[s2]) = 0 s1 = 7044020, s2 = 6543971, d1 = 29, d2 = 37 Dl.O(d1) = 261769261 Dl.O(d2) = 257400458,72266928,70521794,257400461,36598324,255795635,20947306,17197643,17197642,20847370,15072361,10395433,6852299,6852298,9071713,6758821,6758820,10283192,255009967,10388258,15064043,10388293,6846398,6846397,10388289,15064090,255798343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7044020, s2 = 6543971, dlinesl.size( ) = 2 s1 = 7044020, s2 = 6543971, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7044020, Dl.E( ) = 40, 9.06e-06 seconds used appending s1 = 13767109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13744357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7044242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7980779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13353601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13353601, s2 = 10293090, int(edited[s2]) = 0 s1 = 13353601, s2 = 10293090, d1 = 59, d2 = 106 Dl.O(d1) = 26148814,26148815,255305541,14055748,17163569,17163568,268665191,34216113,34216104,34214135,34214134,34214299,34214298,34213748,26340168,256185637,43311818,34214136,30695935,30695936,29036415,21744584,15693445,15693446,15502471,10720816,7082815,254336093,254160031,882221,1551730,2678868,4459274,7082840,10720861,15502557,11068697,7339301,7339300,11068694,15949855,22053351,23611907,19085546,19085548,25713547,26337781,25166893,18608951,18608949,13226729,13226730,13226728,13226727,11704233,11704234 Dl.O(d2) = 231139654,232435676,266313295,234673641,234673644,234673643,233607507,232435668,232435669,232435677,233607517,274757410,266653363,266785889,238748372,238078324,237341764,236532445,235646293,234673649,234673648,266498449,236532442,235646289,234673646,233607509,232435670,232435672,266409703,236532448,237341768,238078325,238748373,238078324,237341764,237341762,236532442,235646289,234673646,233607509,266313293,235646287,236532440,237341760,238078322,238748370,239363824,266898899,266949193,241391449,241808556,242193235,242193233,242193234,242548984,242880447,243188812,267244517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13353601, s2 = 10293090, dlinesl.size( ) = 14 s1 = 7044540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7044540, s2 = 6130539, int(edited[s2]) = 0 s1 = 7044540, s2 = 6130539, d1 = 75, d2 = 118 Dl.O(d1) = 261776057 Dl.O(d2) = 242293874,242293870,242293871,242438167,242075299,241681421,241255096,240794329,240297283,239761466,266766923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7044540, s2 = 6130539, dlinesl.size( ) = 90 s1 = 4321128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4486821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2220356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2220356, s2 = 7202284, int(edited[s2]) = 0 s1 = 2220356, s2 = 7202284, d1 = 21, d2 = 29 Dl.O(d1) = 59797880,59797881,261781983 Dl.O(d2) = 263589783,263940651,260252313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2220356, s2 = 7202284, dlinesl.size( ) = 36 s1 = 10223614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9220678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8507568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13776351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4488232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4488232, s2 = 7146991, int(edited[s2]) = 0 s1 = 4488232, s2 = 7146991, d1 = 2, d2 = 40 Dl.O(d1) = 177084884 Dl.O(d2) = 207452207,201575102,194592337,194592336,194592339,186439339,177084885,177084886,273564379,194592337,263203261,166503878,166503879,177084887,186439342,194592342,201575099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 11658760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7076495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7076495, s2 = 6702182, int(edited[s2]) = 0 s1 = 7076495, s2 = 6702182, d1 = 70, d2 = 59 Dl.O(d1) = 262233050 Dl.O(d2) = 257517342,60747743 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4490025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 668678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354691, s2 = 3212804, int(edited[s2]) = 0 s1 = 10354691, s2 = 3212804, d1 = 7, d2 = 7 Dl.O(d1) = 21681661,15642357,15642358,18265244,12961691,8821293,5747374,3578708,2708866,2708867,2708550,2708551,2263123,2263124,2263120,2263121,2263093,2263094,2262773,2262774,2263990,2263991,3779706,6041545,9225214,13478688,13478689,268298117,25519860,33280104,42259899,52645604,64544812,75813723,62850181,62850180,62850177,51200729,51200730,62850179,75813721,89596000,92986125,271600299,121780861,135720916,148959663,262168005,175148903,273528115,176140288,165460449,153681061,141014855,127666578,261116956,99784366,85831362,72239364,259376643,85831364,99784367,113798378,127666579,141014858,146226688,146226689,158599487,263325315,180138043,189087830,196838151,203469382,207505532,201633806,194656632,186509767,177162184,177162183,166589329,154889640,154889641,166589331,166589335,166589334,154889648,142256175,128904990,128904991,142256168,128904986,115002965,115002966,128904987,142256169,154889641,166589331,166589335,166589334,154889642,272885139,262418964,154889646,166589333,261917136,142256171,272885139,261917138,142256168,128904986,115002965,100948916,86964931,73353398,60608403,49207921,39281580,35348154,27225112,27225111,35348153,257330245,68080678,81570445,95603905,109806230,123942732,137621350,150617707,140809640,127450143,258704766,99558461,113574507,127450145,116355164,260550038,140809630,153490535,261677554,156058183,160347444,148104582,148104581,262508301 Dl.O(d2) = 21681661,15642357,15642358,18265244,12961691,8821293,5747374,3578708,2708866,2708867,2708550,2708551,2263123,2263124,2263120,2263121,2263093,2263094,2262773,2262774,2263990,2263991,3779706,6041545,9225214,13478688,13478689,268298117,25519860,33280104,42259899,52645604,64544812,75813723,62850181,62850180,62850177,51200729,51200730,62850179,75813721,89596000,92986125,271600299,121780861,135720916,148959663,262168005,175148903,273528115,176140288,165460449,153681061,141014855,127666578,261116956,99784366,85831362,72239364,259376643,85831364,99784367,113798378,127666579,141014858,146226688,146226689,158599487,263325315,180138043,189087830,196838151,203469382,207505532,201633806,194656632,186509767,177162184,177162183,166589329,154889640,154889641,166589331,166589335,166589334,154889648,142256175,128904990,128904991,142256168,128904986,115002965,115002966,128904987,142256169,154889641,166589331,166589335,166589334,154889642,272885139,262418964,154889646,166589333,261917136,142256171,272885139,261917138,142256168,128904986,115002965,100948916,86964931,73353398,60608403,49207921,39281580,35348154,27225112,27225111,35348153,257330245,68080678,81570445,95603905,109806230,123942732,137621350,150617707,140809640,127450143,258704766,99558461,113574507,127450145,116355164,260550038,140809630,153490535,261677554,156058183,160347444,148104582,148104581,262508301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354691, s2 = 3212804, dlinesl.size( ) = 2 s1 = 10354691, s2 = 3212804, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10354691, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8685760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8685760, s2 = 10352361, int(edited[s2]) = 0 s1 = 8685760, s2 = 10352361, d1 = 26, d2 = 17 Dl.O(d1) = 263449611,173844737,162885124,262595647,183589376,177169275,166596040,162885123,261578113,124343060,124343059,137941295,150852676,162885122 Dl.O(d2) = 115007913,115007914,101005791,87012120,258830970 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8504607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4490586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4326174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7202942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7202942, s2 = 4144514, int(edited[s2]) = 0 s1 = 7202942, s2 = 4144514, d1 = 7, d2 = 10 Dl.O(d1) = 263948067,186525883,177180681,166610073 Dl.O(d2) = 261246515,260072545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7202942, s2 = 4144514, dlinesl.size( ) = 12 s1 = 4768370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9704231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704231, s2 = 8892550, int(edited[s2]) = 0 s1 = 9704231, s2 = 8892550, d1 = 91, d2 = 87 Dl.O(d1) = 257564116,142378946,259420486 Dl.O(d2) = 274799348,233803486,274465040,224402245,221981432,264754874,211787382,206846217,263893550,185514465,263537671,263537673,176044319,165353929,153564661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10335948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7006719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7006719, s2 = 7991056, int(edited[s2]) = 0 s1 = 7006719, s2 = 7991056, d1 = 42, d2 = 65 Dl.O(d1) = 261252815,155100595,166796936,177349889,177349831,166796881,155100551,155100550,166796880 Dl.O(d2) = 118181200,271880546,140155124,140155125,126804848,112950836,98961740,85036836,71464936,58735319,256046292,28900553,28900554,28894218,21618285,21618284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7006719, s2 = 7991056, dlinesl.size( ) = 22 s1 = 7679187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6953123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8680998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8680998, s2 = 5009058, int(edited[s2]) = 0 s1 = 8680998, s2 = 5009058, d1 = 15, d2 = 3 Dl.O(d1) = 194826044,186712773,177397163 Dl.O(d2) = 207409250,201525817,194826047,194826046,186716570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8680998, s2 = 5009058, dlinesl.size( ) = 10 s1 = 4493840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13336173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13336173, s2 = 7046015, int(edited[s2]) = 0 s1 = 13336173, s2 = 7046015, d1 = 31, d2 = 19 Dl.O(d1) = 59178909,256736054,85502732,99444705,89455523,258329575,62743292,75690560,85714587,72129972,59399477,48011936,48011937,257693029,40568987,31866801,24344061,24344062,31866802,40568989,50610614,40568985,31866800,24344060,17953111,17953110,24344058,31866799,40568984,40568990,256388341,22194615,16066125,16066126,22194617,29537746,38101342,48011943,50610611,50610612,257510653,48011924,59399464,72129967,59399466,256957096,61454976,61454975,259779266,72129974,72129973,85714588,99662135,113674714,115858006,115858002,115858003,270657134,114257036,115858010,114257051,114257050,128142958,129756976,129756977,140899901,127545316,113674743,269352202,100223604,259408184,260626106,271798770,86256838,72655620,59915074,59915073,66936019,66936018,80361638,72655610,59915059,59915060,72655612,59915062,59915061,258782943,100223608,113674744,269352204,269822701,258120301,48011974 Dl.O(d2) = 261794134,166862976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13336173, s2 = 7046015, dlinesl.size( ) = 2 s1 = 13336173, s2 = 7046015, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13336173, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 4113099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8764178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8764178, s2 = 15074859, int(edited[s2]) = 0 s1 = 8764178, s2 = 15074859, d1 = 1, d2 = 1 Dl.O(d1) = 270635428,119881138,272373009,170734976,180876459,189771525,186900683,186900682,194988719,264555371,213879475,264800143,207630208,201786980,194845554,194845555,194845556,186734991,177421782,273376423,194845516,186734959,274013694,129164557,115233386,101155972,87158059,73539804,259468199,115233389,129164562,261803903,166876608,177421769,186734975,192555701,262615608,163613692,151737185,139034769,125696261,259253866,70534012,57832524,46476761,36610838,36610839,46476764,57832526,57832532,46476767,36610840,28137078,28137077,36610843,46476771,57832536,70534029,77888892,64699872,52786075,42386741,33397749,25631583,25631584,33397753,42386748,52786088,64699890,64700230,259049183,106004467,107756626,107756627,120204713,271611899,93328846,93328845,101178628,87181758,87181759,93329318,269979360,43260231,34170031,26301909,19578513,14025672,9641570,9641569,14025668,19578508,257856865,79198220,93329287 Dl.O(d2) = 270635428,119881138,272373009,170734976,180876459,189771525,186900683,186900682,194988719,264555371,213879475,264800143,207630208,201786980,194845554,194845555,194845556,186734991,177421782,273376423,194845516,186734959,274013694,129164557,115233386,101155972,87158059,73539804,259468199,115233389,129164562,261803903,166876608,177421769,186734975,192555701,262615608,163613692,151737185,139034769,125696261,259253866,70534012,57832524,46476761,36610838,36610839,46476764,57832526,57832532,46476767,36610840,28137078,28137077,36610843,46476771,57832536,70534029,77888892,64699872,52786075,42386741,33397749,25631583,25631584,33397753,42386748,52786088,64699890,64700230,259049183,106004467,107756626,107756627,120204713,271611899,93328846,93328845,101178628,87181758,87181759,93329318,269979360,43260231,34170031,26301909,19578513,14025672,9641570,9641569,14025668,19578508,257856865,79198220,93329287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8764178, s2 = 15074859, dlinesl.size( ) = 2 s1 = 8764178, s2 = 15074859, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8764178, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 4494495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9236577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4331563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4331563, s2 = 14707212, int(edited[s2]) = 0 s1 = 4331563, s2 = 14707212, d1 = 7, d2 = 7 Dl.O(d1) = 166915390,177455211,263607955 Dl.O(d2) = 166915390,177455211,263607955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4331563, s2 = 14707212, dlinesl.size( ) = 2 s1 = 4331563, s2 = 14707212, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4331563, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 4151741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6992155, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4332911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4332911, s2 = 15903153, int(edited[s2]) = 0 s1 = 4332911, s2 = 15903153, d1 = 39, d2 = 55 Dl.O(d1) = 167022512 Dl.O(d2) = 2137114,1233477,1233476,2137113,3585745,5758000,8836229,5758007,5758006,8836239,12980698,12980629,12980630,16182165,16182164,13837049,9491037,9491036,13837046,19347372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4332911, s2 = 15903153, dlinesl.size( ) = 2 s1 = 4332911, s2 = 15903153, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4332911, Dl.E( ) = 86, 5.1e-05 seconds used appending s1 = 4333730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4333730, s2 = 3954091, int(edited[s2]) = 0 s1 = 4333730, s2 = 3954091, d1 = 24, d2 = 13 Dl.O(d1) = 167057259 Dl.O(d2) = 142835978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4333730, s2 = 3954091, dlinesl.size( ) = 60 s1 = 4333947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4333947, s2 = 8793310, int(edited[s2]) = 0 s1 = 4333947, s2 = 8793310, d1 = 9, d2 = 6 Dl.O(d1) = 167061602,167061600,167061601 Dl.O(d2) = 264553657,216443126,215864048 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4334451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4334451, s2 = 7276860, int(edited[s2]) = 0 s1 = 4334451, s2 = 7276860, d1 = 2, d2 = 17 Dl.O(d1) = 167084274 Dl.O(d2) = 264875799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4334451, s2 = 7276860, dlinesl.size( ) = 18 s1 = 13508563, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10218413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4335991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4647560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4647560, s2 = 4445805, int(edited[s2]) = 0 s1 = 4647560, s2 = 4445805, d1 = 64, d2 = 33 Dl.O(d1) = 186952862,177672043 Dl.O(d2) = 175348171 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7149106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8653333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13767291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13550639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13550639, s2 = 15054836, int(edited[s2]) = 0 s1 = 13550639, s2 = 15054836, d1 = 35, d2 = 24 Dl.O(d1) = 49360715,39431103,256033072,23399219,30826945,29742088,28795692,21530421,21530422,28795696,37333167,47243158,39431099,30826936,30826935,37891081,29323145,21993951,21993952,29323147,254410120,37333174,37333173,47172810,37266729,28734535,21477302,15474831,15474830,21477297,28734528,32253915,41047096,47172805,47172807,47094913,47094914,40254242,31566747,24061173,17706183,17706184,24061176,256033100,41047102,255191564,28687655,21530425,21530423,28795698,36650289,46295331,46295332,41047127,32254212,32254211,28795711,28795712,21530433,21530434,24654632,32254013,41047219,47172802,40730291,255826446,24428699,18196647,12906726,8779825,5718233,5718234,8779830,12906731,18196656,24654624,26042675,33864695,39110965,32254054,24654663,18196675,18196674,24654658,21530452,21530453,28795753,37333240,47243211,40890134,40890133,51027538,51203454,41047244,32254032,32254031,24654731,18196718,18196717,24654725,24654576,24654579,32253934,41047118,51203337,51203408,41047209,41047207,51203418,59211473,59211472,62852862,51203479,41047275,32254061,24654668,24654669,32254064,36946427,28446672,21220558,15251461,10521708,10521709,15251466,21220569,28446697,36946456,46824354,58190418,58636881,58636882,52681400,42294879,255993112,49040671,42294910,33314460,25552741,18940080,13504070,13504068,18940077,25552736,33314450,36946436,28446682,21220564,21220565,28446688,36946445,46824342,48509927,38595093,30022431,30022430,38595089,46450513,36584803,36584804,46450518,57806393,52681395,52681397,60335895,48938253,39015152,30426398,23021362,16780793,16780792,21114924,28324535,36819735,46702243,58074283,50241316,50241314,55451374,44602408,44602407,55451369,46581845,36695356,36695357,46581849,52681461,47172766,47172767,42294889,42294890,46824322,46824323,39015086,30426357,23021335,16780778,16780779,23021339,30426369,38595102,30022434,22649536,22649537,30022437,36584807,28112346,20935594,15027508,15027507,20935591,28112342,36584801,46450503,57806379,48938238,48938237,60335881,257580566,58074275,70791540,70791542,70791541,65320005,65320006,60335986,48938328,39015205,30426437,30426438,39015209,48938334,60335989,73076291,73076364,60336065,60335843,48938191,39015101,39015100,48938189,60335839,70903240,84350322,86680878,73076370,73076371,60336091,60336092,61998354,60335817,48938160,48938161,60335819,73076187,84042820,256456036,61998361,61998362,73076203,73076202,60335928,48938281,39015173,30426409,30426408,39015171,48938279,60335925,73076252,83936097,83936096,97795183,86680888,85457430,268812896,60336106,60336105,73076400,72021754,71872796,59134777,47736245,37814010,37814009,47736243,59134775,61998402,61998396,52265881,52265882,64114752,77261563,84503714,70939735,58222670,58222671,70939738,73076275,73076274,86680820,98513418,84588343,71024057,71024058,75816357,70939752,58222678,58222677,70939747,70939777,58222700,46854908,46854907,58222697,70939773,83936102,70409900,70409901,83936103,85538693,85538694,99398228,85457417,71872791,71872789,74553249,85590464,99537632,88168317,74553252,61769665,61769667,74553254,74224667,74224668,77596014,64427262,52553112,52553111,64427259,77596012,91526970,105750484,103714339,99537582,85590374,85590372,99537578,94416767,94416768,99586262,85636020,257185440,59313318,65104629,53117932,53117933,65104630,259697357,87586357,73985801,61206470,49727735,39709143,31032184,31032183,39709139,49727729,258082720,49231840,49231839,270355985,60632847,60632846,73379014,259456507,85019685,85019686,85144092,85144091,86994415,86994414,98945225,100987244,86994384,73378970,60632816,49231835,49231836,60632819,61246420,49767527,39748905,31071156,23587655,255996591,39748896,49767510,61246397,74026615,73985785,61206455,49727724,39709136,39709135,49727721,49767502,49767504,60632833,49231842,39305074,30707243,23290907,23290908,30707245,39305079,47326980,37418452,28876819,28876823,37418461,47326995,40390471,31697747,31697748,40390475,258249703,87781337,101754837,260708515,143031995,155582429,167214524,155582431,143031996,129700800,129700803,143032000,155582435,261472326,143032000,155582435,167214532 Dl.O(d2) = 189850706,186193223,186193224,176797974,176797973,176797947,166178081,166178079,167214534,155582436,260906992,115801512,115801511,129700803,143032000,154442312,141794893,141794894,154442315,166178118,176797986,167214525,167214518,155582423,155582424,260906992,129700804,141794885,128441178,114556906,100526145,100526146,114556909,128441182,141794894,154442314,166178116,173203083,162102561,149889868,136747651,122915471,259697108,87781338,87781337,101754837,115801510,128441183,141794896,154442318,166178087,154442294,141794881,260047282,100526145,86564813,72966447,60228963,48834234,48834235,52295606,52295605,64147901,77296966,91217376,87635276,74031815,74031814,81130334,95188763,88397620,74763473,61963199,256551402,88397624,102398628,91486623,77555824,64387632,52513971,52513970,64387630,77555821,91486619,260275169,123638206,271420838,87635286,74031819,74031810,61251836,52865781,52865782,61251829,52467520,42114872,33160439,25419363,25419364,33160440,42114874,52467522,64335158,257785928,42461806,42461805,52865758,52865759,64784913,64784917,64784916,77979023,91447024,77978987,64784868,52865716,42461773,42461772,42461801,47455591,58841373,58841374,71568308,84950819,71374906,71374905,84950818,98871909,84945757,71369626,58633003,47239700,37329916,28792788,21528016,15515242,10730503,10730504,15515245,255842531,37329940,42475562,269090845,64798510,77992683,91917111,98871907,257675320,58632994,47239694,47239695,58632996,71369616,58633006,257092124,39524425,49458031,60861010,268687914,47732346,47732345,59130952,71869119,85453960,71869142,59130982,59130983,59130986,71369621,71869092,59130916,59130915,71869091,71869054,71869053,59130966,59130956,47732349,37810187,29245624,29245623,29245611,21925596,15839444,15839445,21925597,29245613,21925610,15839450,254755403,4581521,2756374,1597867,1597868,267827915,10976262,15839464,21925629,29245667,29245545,29245544,37810078,37810077,37810194,37810193,29245641,21925616,21925617,29245644,37810206,37810162,29245608,21925594,19081720,19081721,25708746,268217831,15839448,21925604,29245629,33482177,33482178,42475536,39463223,30858518,23427253,23427252,30858516,37810148,37810146,47732292,48067760,38915195,38915196,33482190,33482180,33482181,25708744,19081719,13623271,9328557,6110595,3823412,3823413,6110597,9328561,13623279,19081733,22927576,30328446,38915191,42475546,38154976,29588598,25708733,19081709,13623266,11186323,7422404,254352343,254352345,7422406,11186326,16104523,22240411,22240215,22240216,22240364,22240363,29588555,38154928,48067712,59458670,257722840,67796512,55454487,44605832,44605831,46616397,51421467,51421466,51421525,48834318,254899760,44605794,44605795,41224443,41224444,46616404,257132304,51421020,48834264,41224065,41224066,48834322,46616394,36728629,256830729,57992324,51102827,255506334,30326342,22925227,16690757,16690755,22925223,30326337,38913348,256994512,60228965,63809822,51994476,41683289,32767190,32767191,41600178,41600179,51900237,51901357,41601325,41601326,255259756,51901099,41601054,32698511,27082535,20184514,14481619,9963676,9963675,14481618,20184511,24820228,24820231,32457294,41298631,35055405,35055406,41299114,44546775,35168910,27080800,27080802,35168914,32456868,32456867,41298767,41299047,35169313,32699075,32699074,35169281,35169282,41300890,41300893,38925422,30339452,22938525,22938528,20179308,14478242,14478244,20179316,27075484,35162529,32457934,32457935,34693169,41300677,41300679,44539410,55274493,44427927,44427928,35168611,35168612,32458164,32458165,41300695,51518147,63231380,76246365,90054818,86573376,72975871,64992086,64992087,72975872,72975873,63231085,51517717,51517719,63231088,74866598,63201209,63201207,76211113,64837164,269088988,66971410,54712203,54712204,268550844,35170854,32698145,31841043,24321542,18318531,13002873,13002874,18318518,24806725,32440847,41279379,35168488,35168486,38926008,41279251,39897262,39897263,40366596,41756605,41756607,38925887,38925888,44541370,41601198,41601199,48846067,50575296,42503039,42503040,52912418,55395997,44549228,35171573,35171575,44549233,40538846,35306000,31840714,24321373,24321376,31840723,40538684,31840763,31840762,40538770,40539135,31841017,24321530,17934344,12707677,8633933,8633936,12707685,17934359,24321563,31841079,40539303,32698939,27080894,27080897,35169036,31556852,31556855,40242868,32767269,32767267,41683397,51994615,63809792,63809871,63809870,55395380,44548495,35170852,27082533,27082532,35170850,44548489,38926347,35055009,30339424,30339423,38925373,48845363,38925329,38925328,41600547,32698105,32698104,33504470,25726285,25726287,25015876,25015875,32698687,25015765,25015764,32698680,30339698,30339699,38925764,41683264,41299557,41299558,41279018,32440637,32440638,41279024,51492240,41600554,32699527,25016275,18486699,13133612,13133611,18485943,18486446,25015835,32698820,35167256,27079440,27079439,35167255,44544978,55392248,44544894,35167168,255750862,27083119,35171544,35171666,27083240,27083239,35171665,44549308,55396065,67735287,81200071,270507720,257772322,256628552,52286101,52286100,64138049,77286986,77206626,64065669,52224324,41892883,32957463,25237620,18668671,13277104,255246577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13550639, s2 = 15054836, dlinesl.size( ) = 26 s1 = 8590433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4339700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8839959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4503087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10265581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10219954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10219954, s2 = 11468360, int(edited[s2]) = 0 s1 = 10219954, s2 = 11468360, d1 = 178, d2 = 150 Dl.O(d1) = 262339184,155671648,143120474,129790769,129790770,115892480,115892477,129790788,125746252,111926448,111926447,123760192,109569008,95312211,81251292,81251290,95312206,84112622,259267371 Dl.O(d2) = 155427930,261272417,115645043,259486421,87638225,101604924,260698797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10219954, s2 = 11468360, dlinesl.size( ) = 28 s1 = 9660417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9660417, s2 = 14246520, int(edited[s2]) = 0 s1 = 9660417, s2 = 14246520, d1 = 14, d2 = 16 Dl.O(d1) = 241321161,240866512,240375331,239845206,239270935,238646324,266651554,266577094,235492618,266407322,233423203,232230441,230908874,229433772,227772767,225880046,223710116,221204934,218279977,214798799,210568751,205390889,199133080,191733421,183127267,173281281,162187235,149979639,136845734,123014811,108745875,94452639,270280496,257409152,34684793,256291228,19871141,14237194,9787153,6434416,6434417,9787155,14232929,255731699,15865344,10996226,10996224,14232179,9783598,9783596,14232178,19846527,14245951,14245952,19882642,19180746,19180747,25833790,33636789,30917437,26683221,19864886,19864884,24816697,32452859,26337311,19608956,254967035,9790235,14241761,14227552,14227550,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705899,6538433,6538432,5869877,3665164,3665162,5869871,8990603,10705636,10705635,15481209,21485381,28743435,255328598,58571136,71303111,71268855,71268854,71268857,58537263,47148958,47148959,46476955,36610998,254593506,23836809,17497212,17497213,23836810,31328123,40006209,50024806,61502998,74279858,258258868,259505306,129801048,260716810 Dl.O(d2) = 272602944,155686888,167320978,177817442,262811652,195166737,202071967,207876905,212660735,216265150,264814098,207460926,264520144,194602605,186450018,177095662,166515018,154809084,142175353,128820779,114923702,100873532,86894054,73283526,60539677,49139780,39212995,39212996,38669555,30092441,22710819,22710820,30092442,30093989,22712355,22712356,255490078,16499044,16499043,16507833,21522178,15510321,15510318,16510275,16502678,16502679,20328535,14589108,10038688,6597179,4133053,2472390,1429183,1429182,2472388,4133051,6597175,6104861,6104862,6104974,6104975,9319696,13610465,19064943,25626063,19125759,13655753,9351082,9351083,13655754,19125760,24191653,31699816,40392496,33540636,25751889,19113629,19113630,19150509,13674540,9364446,9364447,13674542,19150512,19072488,19072490,23874149,25594201,18984608,18984609,25594206,33354492,25751860,256018551,255176785,8353677,9341479,6118802,3828371,3828370,6118799,9341473,13641617,255518849,21763167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9660417, s2 = 14246520, dlinesl.size( ) = 14 s1 = 10163644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4504006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4504051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4504051, s2 = 15954376, int(edited[s2]) = 0 s1 = 4504051, s2 = 15954376, d1 = 43, d2 = 137 Dl.O(d1) = 177842087 Dl.O(d2) = 61518786,61518785,74296401,87900055,101874296,115921289,129822006,259610498,167344392,260823390,261929294,262429914,207889349,212670024,216578491,264332242,223748583,221250819,218335006,274113120,205489771,199252462,191880962,183311684,173510232,162471357,150336791,137295346,123563357,109372227,95118493,81060939,67593148,55251462,257029278,26947693,20062737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4504051, s2 = 15954376, dlinesl.size( ) = 38 s1 = 4504311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4504311, s2 = 4214319, int(edited[s2]) = 0 s1 = 4504311, s2 = 4214319, d1 = 9, d2 = 10 Dl.O(d1) = 177850026 Dl.O(d2) = 171267031,160030878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4504311, s2 = 4214319, dlinesl.size( ) = 2 s1 = 4504311, s2 = 4214319, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4504311, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 11659922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8654195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4506391, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6986470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9492828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13840219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4345325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8622811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8622811, s2 = 8830116, int(edited[s2]) = 0 s1 = 8622811, s2 = 8830116, d1 = 70, d2 = 54 Dl.O(d1) = 258893655,102047242,116104447,130013739,261844551,167508826,167508840,167508841,177982229,167508834 Dl.O(d2) = 274120385,263980867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8622811, s2 = 8830116, dlinesl.size( ) = 56 s1 = 4165235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4345885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7150820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4508639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4508639, s2 = 9536926, int(edited[s2]) = 0 s1 = 4508639, s2 = 9536926, d1 = 38, d2 = 70 Dl.O(d1) = 178009716 Dl.O(d2) = 126778721,112924223,98934784,85009056,71435959,71435958,85009059,98934785,112924225,126778722,136150457,122188893,107784820,93363538,79236307,65872369,53804491,53804490,65872368,79236306,65872366,53804489,43279664,34183192,26311678,254635182,19586768,26311674,34183191,43279663,53804487,65872365,79236304,93363537,98647145,98647144,261102953,152584121,164440076,262177336,263108881,193252514,263204742,175366561,263108883,175366556,164607093,152772740,152772741,164607094,175366559,184914408,263859790,263101924,184788900,175221255,164440073,164440074,273102262,200313119,200410409,193252516,263593800,184914403,175366551,164607089,164607090,175366552,184914405,263865447,206457767,263500496,184788898,263857083,206369319,200410407,193252511,184914400,272883438,164607088,175366549,263506665,200410405,206457764,211458902,207464145,274003571,215471985,211458897,263944248,200410394,206457752,206457755,200410398,193252504,193252505,200410400,206457757,200410403,193252509,193252508,264187287,203098337,203098336,208722064,213341885,212309196,212309195,274134508,218231347,220267950,217123857,213341879,208722060,203098334,200410396,200410395,201285560,201285559,207204570,211458899,206457758,206457754,203098341,196383635,196383634,203098339,208722065,210505577,205319036,199054379,264410407,214743393,264851438,264851440,213341881,208722061,273611376,188530718,188530717,194253003,186043177,186043176,194253001,263309366,191648584,263685966,199054380,191648582,183036442,173182932,173182933,273211572,169262716,157833212,145431340,261927479,273211571,263309365,196383631 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4347545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7011801, s2 = 7228367, int(edited[s2]) = 0 s1 = 7011801, s2 = 7228367, d1 = 33, d2 = 61 Dl.O(d1) = 261314322 Dl.O(d2) = 264273717,207705449,201876351,201876352,201896507,194971413,194971414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7011801, s2 = 7228367, dlinesl.size( ) = 2 s1 = 7011801, s2 = 7228367, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7011801, Dl.E( ) = 68, 1.72e-05 seconds used appending s1 = 10236017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7150590, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10242503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4511417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4511483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4350218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9134034, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4350659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4350682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7120743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7120743, s2 = 6566906, int(edited[s2]) = 0 s1 = 7120743, s2 = 6566906, d1 = 37, d2 = 41 Dl.O(d1) = 262835534,262366453 Dl.O(d2) = 88342872,74715101,61921888,50432093,40398790,31706971,256040266 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4512682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4512691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4351535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4513069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4351746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4351746, s2 = 7441508, int(edited[s2]) = 0 s1 = 4351746, s2 = 7441508, d1 = 0, d2 = 7 Dl.O(d1) = 167790418 Dl.O(d2) = 266687963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4351746, s2 = 7441508, dlinesl.size( ) = 16 s1 = 13423901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9237402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9237402, s2 = 11295742, int(edited[s2]) = 0 s1 = 9237402, s2 = 11295742, d1 = 31, d2 = 1 Dl.O(d1) = 260159738,116568244 Dl.O(d2) = 78542513,270557991,260523656,52845704,257808939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9237402, s2 = 11295742, dlinesl.size( ) = 12 s1 = 7724365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7724365, s2 = 10342221, int(edited[s2]) = 0 s1 = 7724365, s2 = 10342221, d1 = 18, d2 = 27 Dl.O(d1) = 273754674 Dl.O(d2) = 167903218,261873159,262180196,269416009,32448396,24813179,268131823,13007173,15807802,255868853,257484729,71821017,84929842,81230430,255372628,44577002,255010414,20208104,17152055,268380645,17152035,12055504,8105358,5193175,3168853,2674089,1548985,880583,880582,1548979,2674073,4451188,7069839,8104260,5192531,3168494,1855125,1855124,3168489,3168535,5192592,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,5071347,7970286,7970244,7970243,9243567,6054043,6054044,9243572,13509485,18946060,254694014,254474159,254215777,808252,458021,258233,258234,458024,808261,254474175,254981711,20208291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7724365, s2 = 10342221, dlinesl.size( ) = 18 s1 = 10342220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342220, s2 = 7724366, int(edited[s2]) = 0 s1 = 10342220, s2 = 7724366, d1 = 26, d2 = 19 Dl.O(d1) = 14500973,254981710,254474174,22128370,22128371,25329547,20162648,14464811,9951735,254215776,254474158,254694015,14500792,14557802,10017437,10017069,10016837,6583777,6583778,4125385,2467914,2467913,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404340,8373908,12391414,12256818,12256819,17392798,23716546,31203998,30859527,23428498,17556520,15460507,10689971,10689972,15460513,12691643,12691641,17913960,21477159,21477158,18948907,268380644,27108783,20980730,255010415,10391979,255372629,28160297,36634966,46502071,257484728,255868852,46387937,46387936,268131822,83958627,71288478,269416008,262180197,261873158,156322499 Dl.O(d2) = 273754675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342220, s2 = 7724366, dlinesl.size( ) = 18 s1 = 6879635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661543, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9213059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4356181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8588894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8711809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7181116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7169593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8656754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8656754, s2 = 14298499, int(edited[s2]) = 0 s1 = 8656754, s2 = 14298499, d1 = 84, d2 = 59 Dl.O(d1) = 263660114,187745947,178612400,168276821 Dl.O(d2) = 274275819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8656754, s2 = 14298499, dlinesl.size( ) = 26 s1 = 4518761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8685082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8712334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8712334, s2 = 7032247, int(edited[s2]) = 0 s1 = 8712334, s2 = 7032247, d1 = 106, d2 = 98 Dl.O(d1) = 265459962,263963228,178775468 Dl.O(d2) = 261634778,142983904,259901910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712334, s2 = 7032247, dlinesl.size( ) = 84 s1 = 4520485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8513629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9041870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9041870, s2 = 11236784, int(edited[s2]) = 0 s1 = 9041870, s2 = 11236784, d1 = 24, d2 = 27 Dl.O(d1) = 272170122,157137077,264013157,263075088,178878371,262870460,261903146,261071666,259890670,269770922,258330739,259582813,117710781 Dl.O(d2) = 262405423,178878372,187969516,195895450,264319563,199975913,264162417,264452533,274263503,264135446,262585218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9041870, s2 = 11236784, dlinesl.size( ) = 2 s1 = 9041870, s2 = 11236784, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9041870, Dl.E( ) = 28, 5.96e-06 seconds used appending s1 = 6838444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6838444, s2 = 14162657, int(edited[s2]) = 0 s1 = 6838444, s2 = 14162657, d1 = 28, d2 = 37 Dl.O(d1) = 259062044,75801033 Dl.O(d2) = 1282846,1282958,1282954,2209757,3691043,5896205,9027277,13236950,254197386,254627360,5707566,8765544,12888137,255616709,32218808,257134407,62795399,75748573,85932614,84765044,71196786,71196788,84765051,71196801,71196802,84765069,98692152,99123453,99123454,113113737,126972315,127938780,126510242,260025182,98649133,98649096,84718775,84718776,98649098,112645617,112645667,98649185,84718892,84718884,258669802,258052837,59946133,59946132,71030482,58314600,46947805,46947806,37161975,37161798,37161797,38883224,38883223,48805199,60201551,62047190,74845439,270346502,107654815,93252069,79136848,65782392,53725975,50554603,256456098,59481450,59481451,72218591,79331960,65968696,53902488,53902487,65968695,63315531,63315530,76345774,90172773,101893120,87919046,74315639,61539121,61539123,74315645,86941814,73331185,60586962,49186865,49186864,60052572,60052574,48656216,48656177,38735309,38735305,48656166,48526966,48526967,59920824,59920966,72661212,86261624,100227235,87902514,74298671,72791284,72791283,86387180,100225816,86259900,86259899,100225810,114258512,128143983,114259229,100226801,258926378,60052743,48656336,38735427,38735426,38735406,38735404,48656295,60052681,72791258,72660422,72660423,86260790,100225173,100225172,101877037,114259082,115923691,101876743,87902372,269873127,50641667,50641665,61521156,50041750,50041748,40022015,31342343,23849179,17506853,12344561,8339915,8339916,12344548,17506823,23849119,31342217,40021854,49186849,60586942,59920767,48526942,38611070,38611065,48526924,59920731,72658754,67692194,55352725,55352724,63315503,51592880,51592881,63315506,76345741,90172737,104324020,118507017,118507018,129824536,115924169,113952138,99929115,85971464,72376601,72376602,84237113,77081909,63965185,52142257,52142253,63965187,77081929,86261921,269012466,48527302,48527301,59921270,269339633,38199011,29632332,29632331,38199008,48110130,59498171,72233644,74383214,61606553,61606554,269790848,85608244,99558450,87986054,87135151,258783518,100226877,87986026,74383193,74383191,85066799,269789265,47377282,37470356,28929204,21652151,15617873,15617872,21652150,28929202,37470352,257464867,47377444,37470476,37470477,47377446,49088192,39158491,30561137,30561138,39158494,47376385,47376384,58763726,71493758,84953249,71377744,58641654,47248579,47248580,47248567,37338665,37338666,38199220,38199219,48110436,48110414,48110415,59498573,257530278,256407718,22280256,16136769,11209628,7437740,7437739,11209625,16136766,22280249,22280532,16136915,11209712,11209711,16136913,22280354,16136829,11209662,7437758,4699750,4699747,7437755,11209656,16136827,268402657,38198872,48109968,59498008,51599558,41374415,32525159,24881615,18383371,13057650,13057651,18383372,24881617,32525164,41374421,51599569,63323357,76354846,90183293,85543516,85543513,91340380,77421214,77421212,91340375,105559053,115016045,100961696,86977459,73366112,60621661,49221169,49221172,59291947,72028397,63323345,63323346,72028418,72028411,59291959,48110257,38199081,38199080,48110254,59291788,47896137,47896136,59291785,59498372,268939236,37978702,29415723,29415722,29632396,38199098,268631564,37978830,47896262,256924430,47896098,47896124,59291774,72028193,259980059,112670225,126532997,139896298,152604493,259331894,113602206,99586783,97976325,84854309,71280869,71280868,72048770,268458506,38005254,29442474,29442475,22108861,22108860,29442476,32790245,25092062,25092061,32790244,41705905,52016370,58244768,49067036,49067037,59507008,48119449,48119448,258128681,85833638,259136080,269614910,59507009,72241638,259376795,93473667,79341312,65976903,65976904,65976913,65976900,65976888,53910041,43385848,256429790,65976890,258162762,61533592,61533575,61533576,74310903,87914682,74310893,61533561,50054386,40034456,258261133,79341316,65976905,53910054,53910055,65976891,65976892,269823950,72241640,72241641,59507013,59507014,61533567,258883825,101888903,87914692,258261137,50054411,50054412,61533587,61533580,50054402,50054403,61533582,74310908,87914680,74310914,259411192,269449328,48119453,48119454,256522529,31354448,40034474,50054415,61533595,74310918,74310910,257652207,40034468,31354440,31354439,40034466,40034471,50054409,61533591,74310917,258334142,256584882,24646344,24646343,31354450,23860782,17517137,12352657,8345755,5386676,3312398,3312397,5386674,8345753,12352656,17517135,23860778,31354445,38737983,48659264,48160431,48160430,59547343,61533574,61533573,74310901,86389961,72794252,72794253,86389963,97943716,97943717,86389971,72794261,60055796,48659261,48659260,60055794,72794258,72794276,62842545,51192788,41036763,40034479,31354452,31354453,40034481,31354457,23860790,23860791,31354458,257069527,61533620,74310949,87914695,259507677,115935131,129834717,272211554,114371440,100347063,100347062,114371438,272226315,114371427,114371425,128248903,261756779,166009484,262266138,129834767,115935190,101888962,87914731,269873375,50054430,61533612,259507681,74310937,87914725,101888954,115935184,129834763,143166324,262266132,141600093,260628796,100347058,100347059,107905863,101888967,101888968,115935195,115935175,101888951,87914722,74310934,61533607,50054426,40034486,268996205,61533602,74310926,87914705,101888914,115935133,129834719,129834761,143166322,155720187,261834487,129834735,115935146,101888921,101888922,115935150,101888934,87914711,87914710,79341300,79341301,93473657,258883831,258883833,101888941,115935151,129834739,143166296,129834741,272262413,155720149,143166320,143166319,155720181,167354295,155720179,143166313,129834753,115935167,101888936,87914713,87914712,260719363,143166305,155720170,167354306,167354313,262698918,261703694,101888916,101888915,115935136,129834722,143166279,155720154,167354298,155720175,143166310,143166311,155720172,143166309,129834749,261291939,115935165,129834746,143166304,262342207,177851150,263471066,262698916,143166283,143166282,155720156,166009538,166009539,176650569,262813673,167354304,263180551,176650538,166009487,262137568,272166112,114371441,128248918,141600098,154256552,141600203,141600202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6838444, s2 = 14162657, dlinesl.size( ) = 8 s1 = 4521950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7199024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7199024, s2 = 7182041, int(edited[s2]) = 0 s1 = 7199024, s2 = 7182041, d1 = 12, d2 = 11 Dl.O(d1) = 263905186 Dl.O(d2) = 263674523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4522556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4522556, s2 = 9682793, int(edited[s2]) = 0 s1 = 4522556, s2 = 9682793, d1 = 14, d2 = 9 Dl.O(d1) = 179082384 Dl.O(d2) = 102469914,88466562,74833385,62036854,50544995,40509271,40509270,50544993,62036850,72566006,59830530,48444257,48444258,48444254,38535726,255306326,16421714,16421713,22604714,21379341,21379342,28615330,37126475,37273638,37273637,37038478,28539834,28539835,23599210,23599211,31083090,31083089,39761056,49779871,59339696,59339695,72073924,85661184,86186665,72589131,59851454,48460820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4522556, s2 = 9682793, dlinesl.size( ) = 2 s1 = 4522556, s2 = 9682793, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4522556, Dl.E( ) = 34, 1.38e-05 seconds used appending s1 = 4523666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4523666, s2 = 3377389, int(edited[s2]) = 0 s1 = 4523666, s2 = 3377389, d1 = 62, d2 = 35 Dl.O(d1) = 179284547 Dl.O(d2) = 111902672,259265531 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6850365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6850365, s2 = 3630140, int(edited[s2]) = 0 s1 = 6850365, s2 = 3630140, d1 = 124, d2 = 55 Dl.O(d1) = 259265530,168998503 Dl.O(d2) = 125719953 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8686792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4526825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4526835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4526835, s2 = 1352391, int(edited[s2]) = 0 s1 = 4526835, s2 = 1352391, d1 = 16, d2 = 33 Dl.O(d1) = 179659980 Dl.O(d2) = 25230392,32949743,41884420,43063087,34005169,254887460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4526835, s2 = 1352391, dlinesl.size( ) = 2 s1 = 4526835, s2 = 1352391, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4526835, Dl.E( ) = 48, 1.81e-05 seconds used appending s1 = 10142435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10142435, s2 = 9417453, int(edited[s2]) = 0 s1 = 10142435, s2 = 9417453, d1 = 91, d2 = 8 Dl.O(d1) = 138761661,125432355,111629056,258506800,70322371,57631615,46286926,36433908,27975077,27975076,31686794,24178054,24178053,31686791,40380554,42741300,33711643,25905210,19244257,19244256,25905208,33711640,42741294,53190836,61196221,49717657,39698951,31021918,31021919,31591184,31591183,255693362,40353995,31659152,31659153,40353999,50388816,53190752,42741223,42741221,53190751,65176337,65176358,256755276,33711598,256677555,25905206,19244255,19244254,25905203,33711631,42741286,53190825,65176391,65176390,255603358,255603356,42741244,53190788,65176299,55443207,53190749,255693364,33711587,42741219,33711593,25905183,25905184,33711595,42741234,53190772,53190761,53190762,65176349,65176356,65176355,65176341,53190756,53190757,65176342,78460626,92500929,84598325,71033996,71033995,258441910,98523318,84598286,71033976,58318320,46951356,37071519,28568925,21341356,15366928,15366929,21341359,28568930,37071531,46951376,257232694,84598359,84598342,84598343,71034010,71034011,84598346,257824860,71034001,71034000,84598332,98523368,112518310,121072939,112518332,112518252,98523304,269528604,71033970,84598277,88425830,74793695,61997275,50505707,40470083,40470080,50505699,61997263,74793678,74794142,61997760,61997279,50505710,50505709,40471956,31777265,26628335,26628334,30563199,23565202,17253935,17253936,23565204,31049543,31758893,24247091,17870268,17870269,24247092,24264365,24264364,30054850,30054849,26628279,19817090,19817091,26628282,256045442,268450098,37889839,37889841,41759574,32839332,255423638,13204088,9001267,5876510,5876509,9001266 Dl.O(d2) = 48973546,257002119,30462402,23054342,16808099,11753590,7847806,4981650,3009342,1748074,1748079,1748405,994186,994183,1748415,3010008,4982784,7849747,7849494,6008178,6008182,9179617,12709385,13144222,11754002,10930861,10930858,15222480,21184067,16670125,15618450,15618447,11755932,11755931,16811495,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,11756243,254555959,3009937,3009935,4982624,7849468,11756230,16811990,19403345,19403346,26092640,33925860,38297459,30270098,30270099,28395085,21175260,21175261,25842439,25842438,30467244,33556871,32985760,32985761,41926120,256265906,46770962,256519206,23329852,23329853,30752138,24042409,17690367,17690368,24042410,256731848,9127131,5972754,3735128,3735129,5972760,9127142,13355420,9128962,5974062,3736081,2236846,1297221,740349,740348,1297218,2236841,3736070,5974039,9128921,13355429,13355362,13355364,12688499,12688500,17909971,24291739,31806463,25335649,18756138,13355410,13355409,18756071,18756075,25335546,33064955,38929990,30343873,30343874,33065218,33065236,33068361,25338610,18758746,13357571,13355390,13355389,18756100,25335603,25335828,33064902,25335803,18756256,18756254,25335794,25338784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10142435, s2 = 9417453, dlinesl.size( ) = 2 s1 = 10142435, s2 = 9417453, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10142435, Dl.E( ) = 92, 3.1e-05 seconds used appending s1 = 10341067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8898844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8898844, s2 = 7707773, int(edited[s2]) = 0 s1 = 8898844, s2 = 7707773, d1 = 16, d2 = 11 Dl.O(d1) = 274742714,265920321,227296240,274373201,263321609 Dl.O(d2) = 272972265,273299032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8898844, s2 = 7707773, dlinesl.size( ) = 6 s1 = 4529364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4370118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7055824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4370462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9537522, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7098332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7098332, s2 = 9564277, int(edited[s2]) = 0 s1 = 7098332, s2 = 9564277, d1 = 7, d2 = 7 Dl.O(d1) = 262557765,170006525,170006524,272975974,261411972,122876164,136708032,149850820,162064920,173167295,183021143,273860588,262491619,147410951,134199312,134199311,261809018,260689586,115314373,258850158,258227249,257038111,268429979,255990125,39527731,49461176,258850161,101235949,261264315,155248562,166932237 Dl.O(d2) = 262557765,170006525,170006524,272975974,261411972,122876164,136708032,149850820,162064920,173167295,183021143,273860588,262491619,147410951,134199312,134199311,261809018,260689586,115314373,258850158,258227249,257038111,268429979,255990125,39527731,49461176,258850161,101235949,261264315,155248562,166932237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7098332, s2 = 9564277, dlinesl.size( ) = 2 s1 = 7098332, s2 = 9564277, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7098332, Dl.E( ) = 8, 2.1e-05 seconds used appending s1 = 10249955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8652268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9733417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4441715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9216408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7639333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8372002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8372002, s2 = 8137119, int(edited[s2]) = 0 s1 = 8372002, s2 = 8137119, d1 = 123, d2 = 121 Dl.O(d1) = 189192492,180247541,170078252,158719129,257137042 Dl.O(d2) = 33368178,33368179,42357083,33617298,33375189,256139946,255504895,16681032,16676657,16676658,255378756,21998549,15899209,258182665,48822695,38902970,30316096,255505711,16682389,22915753,30315892,22915621,22915623,30315896,29711229,29711230,30313984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8372002, s2 = 8137119, dlinesl.size( ) = 14 s1 = 14258587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14258587, s2 = 14242414, int(edited[s2]) = 0 s1 = 14258587, s2 = 14242414, d1 = 11, d2 = 9 Dl.O(d1) = 258621297,57675580,46328758,36473407,28013046,20847364,14947012,10688877,10688879,13618546,9325154,6108395,3822001,2289876,1328594,1328593,2289868,3720452,3720453,3720465,2227767,2227768,3720473,5949296,6811537,4459852,3722190,2228735,1292556,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,100441,100443,183156,183157,332683,596823,1061541,1860161,3177744,5208565,8129754,12089105,17192297,23473813,30909362,39518399,49450457,49450458,60852248,73601921,87224195,101225246,260688595,127410066,113539767,99528374,85581445,71994722,59258153,47861920,37943117,29377704,22047179,15944108,11064078,7336027,4633991,2791498,2791501,4633994,2795066,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920920,1619144,2791016,4633056,7334320,11061272,15940434,11070109,7340305,7340304,7335884,4633907,4633906,7335881,7348221,4641172,4641173,7348222,11074505,7343254,4638141,2793751,2793752,4638143,7343256,11074508,15957196,22061610,22066146,15961412,15961413,18928103,25534407,25534408,25534450,26611139,19803219,14184939,14184941,9778571,9778570,7346123,7346124,11078715,15880460,21974735,22065580,21136649,21136650,28349979,36847347,46730313,58102151,70819043,84377795,98287109,112268928,126128137,139503016,152234295,164121452,174942963,184549510,263508440,200134861,206211882,211237116,215343209,217372991,213654871,209121978,203598411,196988577,189249446,180307595 Dl.O(d2) = 158784449,146416116,133186132,119351534,105153125,90966460,77080597,269491639,32900152,267922188,13244538,9034008,9034010,10346426,10346427,15018639,17398012,13260996,9048468,5915035,3697990,2214581,2214580,3697987,5915030,9048460,13260985,18649636,25215366,32932271,258380991,91075367,105288355,119514823,133374793,146619969,153649743,140982815,127633944,113765591,99751349,258748877,257515811,38161548,29595101,22246314,16109082,11189425,11189426,16109086,22246312,25758263,25758262,28794323,21529311,15516244,10731249,7090401,7090400,10731244,15516232,21529291,23845853,23845852,31338269,40017239,257651077,74293210,259506487,115916131,129815504,143145978,262340887,177824877,187097358,192004166,183448638,173661680,162639676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14258587, s2 = 14242414, dlinesl.size( ) = 2 s1 = 14258587, s2 = 14242414, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14258587, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14165336, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10355879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355879, s2 = 7148245, int(edited[s2]) = 0 s1 = 10355879, s2 = 7148245, d1 = 65, d2 = 31 Dl.O(d1) = 264779922,215345193,218737565,264951110,206214090,200137202,192940913,263841809,184552116,174945821,164124597,262636359,184552114,192940926,184552118,174945823,164124599,152237755,139506756,126132123,261079633,128304369,114428346,100404427,100404426,114428345,128304367,141653410,141653395,128304343,114428317,114428316,128304342,260038595,86447986,259421759,114428360,128304380,127935227,114054296,100027010,100027012,100404410,86447966,86447965,100404409,114428322,128304346,260638835,114428324,127935240,128304339,114428315,100404402,100404403,100027023,100027013,100027014,100404404,100404405,114054307,127935238,141296517,153968593,165742430,273129177,176405405,176405406,185843419,194073346,264227679,194073351,201124843,207066197,264559916,185843413,176405398,165742461,165742460,176405396,262251717,153968657,165742474,165742473,176405408,185843417,194073345,264227681,211968634,264227691,273552037,185843416,176405421,165742498,153968654,153968653,165742496,176405418,185843431,263911181,207066211,207066220,264227689,264227687,274102123,273994485,263911175,194073339,264227683,264128064,205316205,199051215,191644720,183031674,173177503,173177504,162075103,149861075,149861074,261553900,183031662,173177491,262084160,191644706,262084170,173177535,183031703,183031702,184129187,174481329,163646100,273317472,111912829,97975071,97975073,260487175,125730735,259885177,97975084,111912836,125730737,139069730,125730723,111912826,260487171,139069729,151771465,163646090,170518871,180654059,183514403,173743245,162741330,150645403,150645404,139069747,139069746,151771484,163646112,263473125,184129199,192578769,199849456,205995339,274074948,264430024,199389678,264137358,150583015,137578186,123890327,109744711,259804424,259804427,81499806,257328420,55629859,258549359,44731840,44731841,55629856,68016652,81499800,260415715,126521446,112657215,98661494,84731968,269102076,37172301,47064352,58440060,71162020,71162048,67547277,55203521,55203520,64064196,64064197,77205160,64064195,53269046,46379242,36519954,36519955,46379246,57729489,51518738,41301251,257152107,258353097,74174665,258533584,256747794,74249956,61471727,49994280,39978100,31303248,256518375,49994278,61471725,258049848,47311003,48515863,38601153,38601152,48515862,55659340,44751145,44751146,55659342,68056182,71216789,59909014,48515824,38601113,37401793,37401794,47311233,49994396,39978202,32003033,32003031,40758002,47116562,37219186,28860166,256879963,58700931,258329770,270816453,126777023,261669693,273192792,180367737 Dl.O(d2) = 263220138,153732627,272366486,153250153,261420532,175797210,184127268,184127267,176184954,165509128,165509129,174479084,163643506,151768641,151768640,163643503,153732712,141066439,127715563,127715564,141066443,151768632,151768633,262625453,174479062,262139833,139067128,125728395,111910938,97973549,259696622,36638455,255799221,15071211,15071210,20983467,28163420,36638446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355879, s2 = 7148245, dlinesl.size( ) = 24 s1 = 13601655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8268479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4373858, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4374536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16397481, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4534738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9251004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355773, s2 = 8429910, int(edited[s2]) = 0 s1 = 10355773, s2 = 8429910, d1 = 66, d2 = 6 Dl.O(d1) = 232159175,230829270,265808160,225750441,265661900,182430944,172478486,262038619 Dl.O(d2) = 159190915,146815835,259061826,33015119,33015118 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4812724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8726516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7057400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4378557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8518127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8518127, s2 = 14788248, int(edited[s2]) = 0 s1 = 8518127, s2 = 14788248, d1 = 58, d2 = 54 Dl.O(d1) = 256544338,91322017,105539624,119772681,258907252,105539626,91322018,77403538,64253622,255585526,42054175,256037758,77403542,91322023,105539635,119772697,133641967 Dl.O(d2) = 233217239,234318644 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7044927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9554478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7694544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7694544, s2 = 14282589, int(edited[s2]) = 0 s1 = 7694544, s2 = 14282589, d1 = 11, d2 = 12 Dl.O(d1) = 272852384,273987716 Dl.O(d2) = 264206530,263530150,273447941,263733669,181118093,262490037,272526252,258427497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7694544, s2 = 14282589, dlinesl.size( ) = 14 s1 = 4381649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4381649, s2 = 11440790, int(edited[s2]) = 0 s1 = 4381649, s2 = 11440790, d1 = 1, d2 = 4 Dl.O(d1) = 170789198 Dl.O(d2) = 203857576,263969962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4381649, s2 = 11440790, dlinesl.size( ) = 22 s1 = 7744802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7744802, s2 = 9484981, int(edited[s2]) = 0 s1 = 7744802, s2 = 9484981, d1 = 44, d2 = 27 Dl.O(d1) = 239163113,238530495,237839707,237079943,236247900,235335808,235335807,234334856,233235321,232020795,230672036,229158374,227444708,225485673,265294823,217570156,213903348,209437700,274255472,170792247,261975945,133833556,119966094,119966093,260277081,105730406,91506115,258406211,257200919,33218343 Dl.O(d2) = 212497043,207685747,201850651,264217448,186824870,177536967,167028129,155383076,142795725,129474071,115588796,101552271,87589578,73989104,258751568,49731311,39712637,31035318,23553610,17244969,268106417,5229844,3191480,1867875,254261335,5229843,8042990,5149014,3137096,3137094,5153198,8060868,8074874,5169585,3151610,3151612,5169590,8074876,12015960,255980965,23370180,30796571,269373705,259463665,260080343,126711588,112859781,98872151,84946024,71369900,58633246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7744802, s2 = 9484981, dlinesl.size( ) = 2 s1 = 7744802, s2 = 9484981, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7744802, Dl.E( ) = 52, 1.41e-05 seconds used appending s1 = 9505081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9505081, s2 = 3798625, int(edited[s2]) = 0 s1 = 9505081, s2 = 3798625, d1 = 10, d2 = 18 Dl.O(d1) = 9132080,13362251,18764967,256119853,33076156,42020190,52359276,64209432,77357179,91277081,105499243,119737549,133611211,132878611,119056286,104869824,90699536,76829164,63726088,51917536,41615828,32711058,25025786,18494307,18494306,25025785,21094083,21094084,28302883,32711056,257167229,269540319,257245231,33865800,256687039,28433616,21209475,21209476,256845247,33229458,33229457,257201707,64422520,77591180,91522083,105745736 Dl.O(d2) = 105182950,105182949,119388788,133230989,119980431,119980432,133846890,146465090,259569006,105182946,90990233,257120986,52153067,57649092,46304320,36451434,36451435,29525046,22182620,16056010,16056011,22182622,29525052,38088984,48000780,57781006,70339624,57649083,254963384,70955053,58238022,47011248,255314110,48649496,256556000,31238476,23755032,23755033,28895589,37436438,47343725,58731620,71461366,63400598,51657237,256882749,28908953,21634539,255045437,7131564,7131565,10794196,8906968,5812410,3625708,3625706,5812406,8906959,13070956,18402149,18634454,25196573,32908259,41833932,52153060,63400702,51657375,41415814,32556832,32556831,32556716,24906189,24906190,32556718,41415667,40447398,32556672,24906157,18402125,18402124,24906155,24119451,17758416,17758415,24119450,31624843,40313202,50339050,61822217,50339038,40313193,31624839,24119449,24119448,31624837,40313188,42700380,33669482,25862966,256157759,38742579,256094888,63026664,63026665,256231206,53803788,43278941,34182471,26310922,19585992,19585991,26310921,34182469,43278938,43300767,34202674,26329321,26329320,34202672,257264933,65893401,79256250,93383073,85454767,71869735,59131470,47732812,37810611,29245956,256367757,13453424,13453423,18878803,25481040,31757693,24245869,24245868,31757691,32334648,34202604,26329274,26329276,34202607,40080243,31399348,23906773,17562993,12391874,8374230,5404526,3324195,3324196,5023354,5023353,7902517,5423383,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,12259082,9237734,6050159,6050158,9237729,13501973,18937752,23703979,23703980,23746523,18237039,18237038,17573596,13527842,13527841,17547648,18972258,13537126,12401729,12401728,17159057,12062454,12062455,254301108,17568012,18949755,13512998,13512999,16800392,11747189,7843157,4978639,3007449,3007451,4978641,4716744,4716743,7463906,11244521,12402622,8381976,8381975,12402620,12388487,12388486,8382090,8382092,12388519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9505081, s2 = 3798625, dlinesl.size( ) = 8 s1 = 4382402, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8665279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8506520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4541331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4541331, s2 = 7404139, int(edited[s2]) = 0 s1 = 4541331, s2 = 7404139, d1 = 69, d2 = 33 Dl.O(d1) = 180949197,170825581,159493794,147131778,133907099,272377391,159493792,170825579,170825586,180949196,170825580,170825574,159493783,147131773,147131772,159493782,159493796,160265743,159493779,159493780,159493791,147131777,147131776,159493789,159493785,262476825,159493784,147131773,147131772,159493782,147131779,133907099,272377391,159493792,170825577,159493798,147131781,147131782,159493800,170825583,170825587,170825586,180949196,170825580,170825574,159493783,147131773,147131772,159493782,159493796,160265743,159493779,159493780,159493791,147131777,147131776,159493788,159493779,147131770,133907092,133907091,262936307,170825587,170825586,170825584,272406552,133907103,120063746,120063747,133907104,147131780,260318992,105851439,91643741,91643742,91643747,91643748,91643744,91643743,271547363,133907101,120063749,260876267,147131780,260318992,105851439,91643749,77716764,64535581,256679022,33272287 Dl.O(d2) = 266305678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4541331, s2 = 7404139, dlinesl.size( ) = 12 s1 = 8354749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8354749, s2 = 7224741, int(edited[s2]) = 0 s1 = 8354749, s2 = 7224741, d1 = 28, d2 = 19 Dl.O(d1) = 14089418,14089419,256188055,43366570,268415462,36659444,38123978,29558473,22213124,16081730,11168323,11168322,11594860,7718542,4885415,4885416,7718548,11594877,16622507,22213085,29558422,38123928,48037207,48537763,38622896,30049092,30049093,28069662,28069661,36536564,256446690,11546538,11546539,16564365,22779716,30168750,38751901,39196497,38286661,29720237,257525765,257541242,86135239,86135238,270532529,257799908,13618989,19076254,18923937,255669315,261980131,273449626,263321630 Dl.O(d2) = 264231845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8354749, s2 = 7224741, dlinesl.size( ) = 8 s1 = 7690839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4383786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4383835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4383835, s2 = 8631518, int(edited[s2]) = 0 s1 = 4383835, s2 = 8631518, d1 = 12, d2 = 27 Dl.O(d1) = 170857013 Dl.O(d2) = 158674588,158674585,146306820,146306819,158674584,146306831,146306810,133079438,119249537,105056742,90877849,90877848,105056745,119249546,133079455,146306826,146306825,158674574,262954010,133079454,133079452,146306828,146306829,158674588,158674585,146306820,146306819,158674584,146306831,146306810,133079438,119249537,105056742,90877849,76999772,76999771,90877845,76999770,63889752,52072199,41758980,32838522,25133327,18579920,18579921,25133330,32838524,38322768,33703178,28160119,28160121,33628927,25826895,255272840,255282739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4383835, s2 = 8631518, dlinesl.size( ) = 12 s1 = 4384547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9538480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9538480, s2 = 7713412, int(edited[s2]) = 0 s1 = 9538480, s2 = 7713412, d1 = 17, d2 = 19 Dl.O(d1) = 257209699 Dl.O(d2) = 273450437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9538480, s2 = 7713412, dlinesl.size( ) = 2 s1 = 9538480, s2 = 7713412, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9538480, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 9345313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9345313, s2 = 10276239, int(edited[s2]) = 0 s1 = 9345313, s2 = 10276239, d1 = 11, d2 = 14 Dl.O(d1) = 127425111,113554416,99542804,85595697,72008707,256358902,37959479,255473924,24894571,18392938,13064262,255233917,8902192,5808986,3623340,2163689,2163688,2186142,254284124,8969357,13158972,18520191,25058518,255472941,7508798,4746327,2860403,254167503,532832,298885,298884,532831,944647,1660135,2860392,4746311,7508771,7508769,11309852,11309112,11309111,13654405,9350129,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,254519273,255068289,22010336,24243149,24243150,27213629,31791803,25698689,19072967,13616371,11308979,11308980,12470163,8439392,5449206,3349883,1969498,1969497,3349878,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,254769362,37862395,32840544,25135456,24248207,17871193,14500519,14500518,14500526,9977959,9977960,14500529,255752777,255591787,16197633,16197634,21764278,21763151,21697655,15657827,10838810,10838811,15657829,16068387,22197349,24243477,29801055,22434719,16266926,11309888,7508789,4746322,4746323,7508790,11309891,16266930,22434721,29801061,38373014,36961878,28462308,255556070,10537409,6949203,4366685,2616465,1510805,1510806,2616468,4366693,6943911,6962543,6962544,6962554,10556590,15268431,10540900,10540899,15268520,12066277,12066276,17162658,13532045,9262099,6066349,6066350,9262102,13532048,255672839,33335996,42316485,52703703,64604197,77787110,91714858,105922318,120134271,133975998,147198715,159557876,170885907,181004959,189882508,264063969,209493150,264878987,220671874,223271309,225519165,227474889,227474892,274361336,220671875,217616226,217616227,220671877,223271312,225519171,227474894,227474891,227474890,274361336 Dl.O(d2) = 265898060,227474888,227474889,227474892,274361336,220671875,220671876,223271311,225519169,265603078,225519177,227474899,229185276,230696538,232042977,233255858,233745031,232584809,231300487,266109481,266109482,232545664,232545663,233711171,233711172,232545664,274462822,274462820,228254016,229867556,274188876,218949835,215576965,211495905,263519150,262683192,175430814,164672995,152836826,140142486,126792104,112937690,98948547,85023562,71451422,58720910,57756346,46405540,36544134,28076238,28076236,36544128,46405524,57756325,47193568,47193566,58584933,67634754,55296712,44452124,44452123,55296704,67634740,67634833,70451381,70451380,83979332,97841457,111767231,261055453,149517771,149517772,151612117,159500153,147138327,133913533,120069923,105857365,91649346,77721931,256707062,52640993,53877021,43351886,43351885,48598292,38682140,30105207,25990559,24198130,20840731,14941303,14902018,10246075,268061679,22560380,255098857,11400911,16381459,22560379,29919177,38478521,48380707,59763310,258771779,100056169,114082397,127962518,141322043,153992452,262730685,185859975,194087875,264228805,211979427,215984388,214858595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9345313, s2 = 10276239, dlinesl.size( ) = 2 s1 = 9345313, s2 = 10276239, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9345313, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 4384861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4386338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10257685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4387480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4387480, s2 = 5746705, int(edited[s2]) = 0 s1 = 4387480, s2 = 5746705, d1 = 5, d2 = 29 Dl.O(d1) = 170989549 Dl.O(d2) = 233276554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4387480, s2 = 5746705, dlinesl.size( ) = 46 s1 = 7059489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7158371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7158371, s2 = 15933676, int(edited[s2]) = 0 s1 = 7158371, s2 = 15933676, d1 = 4, d2 = 14 Dl.O(d1) = 263361297 Dl.O(d2) = 261992146,160026343,147762249,134631052,134631051,147762248,134631053,134631054,120833681,258426634,78260420,78260419,92287214,92287218,106585297,92287211,92287212,106585299,106585304,106585303,120833683,134631062,134631060,120833687,120833686,134631063,140209963,126863397,113011646,99023891,99023892,98907603,258147042,71408218,71408217,58674038,58674037,71408209,58674040,47282767,37373274,37373273,37783459,37783458,44350502,37373272,37373271,43350572,43350571,53875742,61409575,49930518,49930516,60749331,49346445,49346444,49346455,39416969,39416970,49346458,60749344,70851700,257001884,46769861,58137495,47740553,37818159,29252902,21931993,255873199,21350056,21350055,28579464,37083861,269311335,80382817,86028359,86028346,86028349,77783113,77613686,64445439,52570321,42209788,33248060,25497420,18892222,13463192,9206791,9206792,13463195,18892223,25497421,257554753,48587881,256974122,86313312,100274759,114304576,128186970,141543846,154205994,160228528,147977152,134855852,121056182,106800611,106800610,106800613,92493139,259701181,78455566,78455565,65172419,53187477,42738196,33708597,268306943,6171640,3861768,2313472,2313473,3861750,3862012,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,3862013,3886170,2415736,2415738,4031304,6425742,9772934,14215735,19842823,26656739,34648010,43921136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7158371, s2 = 15933676, dlinesl.size( ) = 2 s1 = 7158371, s2 = 15933676, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7158371, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 4212712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4212712, s2 = 14648022, int(edited[s2]) = 0 s1 = 4212712, s2 = 14648022, d1 = 5, d2 = 6 Dl.O(d1) = 159699819,261458417,120311502,120311503,261992845 Dl.O(d2) = 120311154,259741952,260359966,114276801,128160856,134141114,260359970,134141115,261458387,120311512,120311513,134141447,134141096,120311146,120311147,134141098,134141081,120311136,120311137,134141083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4212712, s2 = 14648022, dlinesl.size( ) = 2 s1 = 4212712, s2 = 14648022, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4212712, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 4546670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4546771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4546792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4546792, s2 = 15896560, int(edited[s2]) = 0 s1 = 4546792, s2 = 15896560, d1 = 54, d2 = 107 Dl.O(d1) = 181157493 Dl.O(d2) = 2852717,1655365,941918,531285,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5245118,3203644,3203641,3243672,3243669,1903932,1903936,1917431,1095186,614800,610865,610864,1088015,1905780,3246732,3255083,5277352,3246691,1905756,1905755,3246689,5242445,3216742,1894492,1894488,2772893,4606901,3206580,3206579,5248882,3255431,3255432,4623611,4623612,2996163,2782523,2782525,4620896,5295647,3246650,1905735,1905734,2862564,4749803,5295732,5291180,3251740,1909492,1909491,3251737,5301021,5270876,254582115,254807703,255069243,7315662,7315661,8186795,8207002,7300189,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210417,5253700,8184106,12153688,8195012,5265070,3220078,2784874,1615338,918695,918696,1615343,2784881,4623529,5223689,8152600,7313311,7313312,7318393,7318394,7319625,11040207,11040206,12152231,15613040,10802291,7137582,4493692,4493693,7137585,7825732,4967081,3000031,1742248,1742249,254370889,7825740,11723257,255510553,12147506,12147505,11038420,11038417,11038287,7312743,7312744,5224968,3187413,1865200,1865198,3187397,3187396,5224934,7307234,4611291,4611292,7307237,11032636,11721859,7824426,4966128,4966129,7824429,11721864,254806987,4965980,2999355,2999356,4965982,7824255,7165888,5245834,3204263,1876337,1876341,3204277,5245918,4966098,4966100,7824389,7817746,4959947,2995013,2995014,3187033,3187032,5224365,8153431,8150126,5221593,5221591,8150120,5253215,5253212,8183586,8172517,5253451,5253454,5221089,5221084,8149475,12117980,8194018,5263881,4965516,2999056,2999054,4769548,4967120,3220385,1887220,1076752,604790,336647,336648,604793,254181353,3186490,3186491,5223482,8152363,12120654,11724237,7826903,4968030,3240559,3240558,5288985,8218963,11721774,7824312,4966034,4960866,267793201,988616,988617,1739659,2995638,4960872,5463915,5463916,4735683,2853844,1656119,1656120,2853855,2995787,3242187,3241158,1901806,1901805,2761430,2761429,1656758,942663,531655,298133,165106,90869,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1911164,1091412,1091413,1091404,612762,612761,1091396,1911137,1095613,615065,615066,1080865,1893846,3228134,3200834,3195353,3195354,1873999,1069021,600798,600799,1069024,1874005,3200827,3358756,2854954,1656869,1656868,1003912,1003914,605426,336943,336944,605430,1077915,1888950,3222702,3245881,1905211,1905212,3245885,5294745,8219511,8206502,5277329,5277330,5294427,3245598,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,604292,336398,184894,184878,184877,336360,604190,340384,186836,102063,102062,186834,102075,56160,31663,18266,10505,10504,18263,31652,56134,102018,186731,340192,342558,342560,616245,1097833,1920212,2996471,1740190,1740193,1097172,615901,615898,1097182,1911073,1911074,3243065,3243063,5291763,7304257,4958480,4958481,3239551,1900666,1900663,1916026,3195527,1915042,1873110,1873113,3199539,2998199,1741303,1741305,2998211,1894492,1894488,1877861,1079553,1075548,604212,604210,1070458,601533,335032,335037,601499,601494,1070372,1876266,3204132,254521281,4629017,7328155,7328104,4628937,2788462,2788461,4628931,7328101,8194987,5265046,3220060,3220063,5247781,7468899,4720001,2843658,1649635,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,166964,91911,91913,166882,301370,537531,953303,1675526,2886904,4789478,254782989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4546792, s2 = 15896560, dlinesl.size( ) = 28 s1 = 9042844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13750807, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7257615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7257615, s2 = 14146514, int(edited[s2]) = 0 s1 = 7257615, s2 = 14146514, d1 = 43, d2 = 67 Dl.O(d1) = 264644119,273797253 Dl.O(d2) = 266805861,239552117,239552116,240101853,240611165,266862000,238956645,238308811,274753198,236813743,237596889,238308809,238956644,239552110,238956654,238308814,237596893,236813745,266604561,266743677,239552115,266915659,266862002,238956655,274816655,238956641,238308804,237596885,236813741,274699992,233969336,233969337,235007735,235952796,236813747,237596897,266524968,235007740,235007739,235952799,236813752,274776693,266742594,237596892,236813744,274699994,235007735,235952796,236813746,237596896,238308817,238308821,237596900,274727796,235952797,235007737,233969338,232829476,232829477,233969340,266440339,274727800,266245073,266677473,266805863,274816364,266805863,267129453,242975939,267253311,243699729,267196150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7257615, s2 = 14146514, dlinesl.size( ) = 52 s1 = 8716863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4390756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8380655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4943790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8155947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8155947, s2 = 13293490, int(edited[s2]) = 0 s1 = 8155947, s2 = 13293490, d1 = 79, d2 = 93 Dl.O(d1) = 41897305,258382129,258382126,273420379 Dl.O(d2) = 261474151,160183775,171402674,262006772,147934924,260314764,106765927,258442162,257825101,256675569,19214356,13724526,9401438,6159489,6159490,9401443,13724533,13775805,9444391,6191298,3874749,3874750,3622684,3622683,3854108,2309121,2309122,2320386,2165351,2165353,3625746,5812487,8907083,13071164,18402460,22289285,18388728,13061626,13061625,13775243,13776519,13071243,13071242,9444871,9444870,13776527,19273272,18387704,13060952,8900190,8900191,13060961,9401529,6159531,6159529,9401518,13724449,9401389,9401388,13724445,13061509,8900503,8900502,9444824,9444823,9443713,6190921,6190923,6159505,6159506,6191513,3874895,2320410,1345170,767707,436430,436431,767712,1345184,2320437,3874945,6190864,6191212,9444246,13775616,13775972,9444494,9444492,13774758,9444407,9443731,9443553,9443552,13774542,19270702,19271504,13776431,9444812,9444810,13775659,13775081,9443905,6191042,6191043,9443910,13774864,9443759,6190952,3874585,2320242,2320243,3874591,6190966,9401487,9444001,13061555,8900536,5807988,3622691,3622692,5807990,8900539,13061559,13774983,13774981,19271309,25933746,23088220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8155947, s2 = 13293490, dlinesl.size( ) = 60 s1 = 4392051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165730, s2 = 13193991, int(edited[s2]) = 0 s1 = 14165730, s2 = 13193991, d1 = 67, d2 = 68 Dl.O(d1) = 271290876,259268058,70585045,257406472,36660512,255800862,21001025,21002067,28185263,36662000,28201451,21009941,15089761,15089760,20997097,15082281,10402957,10402958,15082286,20997098,28179161,36655196,28185593,28185594,21002372,15086245,10405742,10405741,15086236,10405735,10405734,15086232,21002365,28185585,36662351,36691452,28201453,22720800,16515845,16515844,22720796,30102485,38679826,36660511,28183965,28183962,30535781,30535782,39134526,49064649,46529423,36662007,28185278,21002072,15085971,15085972,21002077,28185285,36660398,28183857,21000931,21000930,28183853,36660396,46527814,46522412,36655188,36655186,36655193,36662342,28185608,21002380,15086254,10405747,6859496,6859497,10405752,15086228,15086227,21002359,28185579,36662346,46527738,46529407,36661990,30102474,30102475,30102480,30102478,38679820,48596165,46527942,36660500,36660501,39134522,39134523,49064641,46529746,46529748,46529419,36662004,28185271,28185269,28185282,28185281,36662011,46529428,46529733,46527810,36660392,36660391,46527805,57883673,57878017,46522408,46522407,46522414,46529752,46529751,257008056,28183805,21000902,15084982,15084981,21000898,28183800,36660315,46527734,57883614,70584910,57883665,57883666,70584933,60789285,49388481,49388482,49064614,39134501,30535764,30535752,23117060,23117061,30535757,30535891,30535892,39134681,49064822,57883651,57883801,57883806,70585052,84121793,84110083,70573511,70573512,57883670,46527801,36660386,28183848,21000926,15084995,15084994,21000921,28183841,36660375,46527791,46527765,36660348,28183817,21000906,15084987,11790413,11790412,16857709,23117178,30535939,39134724,46527846,46527845,49388488,46527771,46527770,39460147,39134508,30535769,23117073,16857669,11790392,11790391,16857663,23117068,30535760,39134492,49064610,46527964,36660517,36660516,46527960,57883811,70585056,70573515,57872178,46516273,46516272,57872171,46527795,36660382,28183846,28183833,28183831,36660362,36660369,46527786,57883660,49388555,46527755,36660341,28183810,28183808,30535929,23117173,23117172,30535924,39134718,49064867,60468308,60789291,60789273,49388496,39460154,30855672,23424700,17147302,17147301,23117057,16857658,16857657,23117052,30535744,39134477,49064603,46527970,36660523,28183971,28183972,36660530,46516301,57872204,57872188,46516283,36649145,36649144,46516279,57872185,49084769,49084770,49388460,39460117,30855648,30855649,39460122,49388465,39460186,39460187,39460107,36660332,36660331,36660324,36660323,46527743,49064864,49064863,60468302,73215111,60789310,49388521,39460166,30855678,23424706,17147313,12051223,12051222,17147288,17147287,17147292,23424679,30855640,39134712,46527973,36660534,28183976,21001030,21001031,28183980,36649155,46516305,57872197,46516294,36649150,36649148,46516292,49084779,39154904,39154903,49084775,39460127,30855653,30855654,39460132,39460190,30855691,30855692,39460195,46527750,46527748,57883627,70584920,70584914,60468299,49064887,49064888,60468319,49388591,39460231,30855714,23424722,17147328,12051232,8102284,5191208,5191206,8102281,12051217,17147299,23424692,30855665,30855621,23424670,23424671,30855627,36660540,36660538,39460062,39460063,49388421,39460228,39460229,46516288,49084784,39154907,30557352,30557353,39154911,49084788,49388468,60789280,70585000,60789306,49388551,39460181,39460180,49388547,57883633,60789239,60789240,73215118,60468311,49064875,49064877,39460099,30855629,30855632,30855596,23424659,17147284,12051209,12051208,12051228,17147323,23424675,23424686,23424685,30855657,39460139,46525383,46525384,39460089,39460088,46527976,39460071,30855608,23424664,23424665,30855612,30855686,39460175,49084765,39154897,30557347,30557346,39154894,49084758,60487969,57883727,57883728,60789326,60789323,49388539,49388538,57885147,57885148,49388381,49388383,60789247,49388405,49388407,60789253,49388443,49388442,49084725,39460029,30855589,23424640,17147277,17147278,23424645,23424649,23424647,30855592,39460034,49388390,46525386,36657773,36657774,46525390,57881470,60789257,49388415,39460049,30855600,30855601,39460053,39460038,39460039,49084697,39154853,39154854,49084703,46529592,46529591,49388367,46527876,46527877,57883742,70585010,60789316,57885158,46529598,46529597,49388378,49388377,57884873,57884870,70585915,70585028,57883773,46527912,46527911,57872009,70573381,57884240,49084792,39460221,30855707,30855706,36661593,46529060,46529092,46527898,36660460,36657771,36657770,46525380,46527889,57883755,49388409,49388410,49388353,49388352,49388396,49388397,46518630,36651657,36651656,46518624,46529584,46529585,39460023,39460024,49388371,60789234,57884857,46529178,46529176,36662202,36662200,46529603,57884879,46529210,36661765,28185044,28185043,36661758,46529204,46516103,36649014,36649015,46516110,36661626,36661624,36661595,28184918,28184919,36661600,46527906,36660467,28183917,21000993,21000992,28183913,36660456,46527896,36660973,36660972,46528457,39460017,39460018,46528435,36660941,36660940,36651663,36651662,36660934,46528430,57874149,46518643,46518642,57874144,57884860,46529183,36661720,36661719,36661703,36661701,46529165,46525411,36661772,28185049,21001909,21001910,28185053,36661776,46529194,36661729,36661730,36661631,28184933,21001812,21001809,28184927,36661619,46529065,57883764,57883765,57883747,46527881,36660448,36660449,36661737,36661738,28185019,28185018,36661741,36661802,28185066,28185065,28184324,28184322,36660936,28184731,28184732,36661367,46528844,57874140,57874141,57884754,46529187,36661722,28185003,28185001,28184989,28184990,28181277,28181276,36657792,36661714,36661768,36661767,46529217,36661864,28185130,21001974,21001971,28184941,21001816,15085790,15085791,21001822,28184948,36661642,46529102,57884801,57884949,57884765,57884760,46529015,36661527,36657761,36657762,46525362,36657755,28185069,21001918,15085870,15085872,21001923,28185075,36661359,36661358,46528842,46528999,36661504,36661505,46529002,36661724,28185008,21001873,15085846,15085845,21001868,28184999,36657788,36661468,46528970,46529012,46529212,36661895,28185152,21001985,15085920,15085919,21001980,28185142,28185406,21002161,21002163,28185411,36662188,36662170,36662171,46529333,46529023,46529019,36661532,28184879,28181252,20998644,20998633,20998632,28181238,21001905,15085866,15085864,21001899,28185033,36661556,36661555,36661546,36661511,28184855,28184856,36661516,46529006,36661697,28184985,21001862,21001861,28184981,36661695,46525406,36661571,36661572,46529051,46529572,36662180,36661889,36661885,36661872,28185134,28185135,28185419,21002170,15086020,10405558,10405550,10405551,15086009,21002150,28185394,36661539,28184888,21001773,21001769,15085732,15083329,15083317,15083316,15083322,20998639,21001890,21001891,28185026,28184900,21001781,21001777,21001776,28184866,21001759,21001760,28184872,21001967,21001966,28185119,21002189,21002187,28185453,36662222,36661586,28184910,28184909,36661580,36661391,28185179,21002012,21002011,28185173,36661396,28185449,21002183,15086029,10405566,6859365,4304939,4304938,6859358,10405203,10405201,15085605,21001656,28181261,20998650,15083333,10403608,6857929,6857928,10403603,15083326,10405361,10405362,15085779,21001784,15085735,10405323,6859121,6859118,10405317,15085728,15083347,15083348,10405486,10405485,15085909,21001963,21001295,15085785,15085784,15085748,10405338,10405341,15085749,15085637,15085638,15085938,21001680,21001681,21001792,15085755,15085753,15085765,10405348,10405349,15085613,10405207,6858991,6858992,10405210,15085617,20998661,15083338,10403614,6857933,4303873,4303874,6857937,10403620,15083343,15080737,10405335,6859132,4304716,2573846,2573845,4304711,6859126,10405326,15085741,10405490,6859281,6857941,6857942,10403623,10404950,10404951,10405370,15085321,15085648,10405232,6859006,6859005,10405228,6859302,6859303,10405507,15085758,15085759,10405372,10405356,6859138,4304723,4304724,6858997,4304608,4304609,6859000,6859150,10405379,15083309,10403595,6857921,4303869,4303870,4304452,6858776,6858775,10402020,6856997,4303316,4303315,4304706,4304707,6859114,10405310,10405430,15083350,10403629,6857944,4303877,4303878,6857947,6859320,6858821,6858820,6859291,6859284,4304882,2574013,2574014,4304885,4305429,4305457,6860364,6859149,4304733,2573859,2573860,2573856,1482135,837997,837996,1482131,2573769,4304614,4304738,6859154,6858786,4304448,2573654,1481993,1481994,1482124,1482125,2573649,2574314,2574316,4304478,4304911,4304768,4304767,6859190,6859211,6859202,4304789,4304791,4304807,2573945,2573943,4304803,4304916 Dl.O(d2) = 838073,472463,472462,838239,838244,1482492,1482218,838054,838047,838012,472325,265388,265387,472310,472309,837983,838025,1482176,1482026,837914,472244,265332,265331,472237,837902,838228,472457,472455,838222,1482466,838256,838254,1482508,2573887,1482163,1482161,2573882,1482199,838042,838041,1482193,838094,838095,838106,472387,472373,265421,265420,472365,265499,265501,472466,472475,472479,838071,472357,265408,265405,265393,146903,80739,80738,146897,265381,265397,472337,837944,472267,265339,146871,146869,265336,472258,837931,838214,837907,837906,1482018,2573682,2573681,2573899,1482170,838021,838020,1482166,2573894,2573923,1482285,838101,472383,265426,146929,146930,146943,146926,80756,80755,80787,80788,146980,265504,265508,472483,838058,472359,265415,146918,80749,44208,44207,80745,146907,146910,265402,472346,837939,837940,837924,472250,472249,837918,1482030,838260,838258,1482517,2574363,2574192,2574191,2573874,1482153,838015,838014,1482151,2573868,1482294,838112,472390,265437,146937,80762,44211,44212,80767,80812,80798,44221,44220,80792,146986,265513,472470,472469,472283,265356,146882,80729,44201,44202,80733,146892,265374,472304,837973,1482040,1482039,1481606,837549,837550,1481610,838267,472488,472487,838263,1482523,1482399,1482398,1482405,838301,472510,472508,838296,1482379,838171,472425,265464,146959,80778,44217,24565,13744,13745,24570,44230,80783,80782,146974,265492,472450,838210,472534,472518,265526,146995,146876,146873,265347,265363,265364,265486,265487,472408,838136,837531,471982,265190,265189,471974,837511,1481545,2573187,4303814,6857836,10403468,255332551,9948878,6538745,6538744,9948875,14460665,20157340,27050263,20166748,20166747,21718202,255261030,25893129,25893128,30686277,23269652,23269653,28978856,21696126,15655717,15655713,21696120,25892880,25892879,33698835,257826485,65162774,78445657,92483049,106790460,121046076,134845967 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7060692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7060692, s2 = 8931981, int(edited[s2]) = 0 s1 = 7060692, s2 = 8931981, d1 = 14, d2 = 47 Dl.O(d1) = 262010163 Dl.O(d2) = 238458135,266758980,236991138,236149209,236149208,266693660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660050, s2 = 14229215, int(edited[s2]) = 0 s1 = 11660050, s2 = 14229215, d1 = 12, d2 = 15 Dl.O(d1) = 78420033,92456077,106761422,121014830,134811749,147931059,160180491,160180489,160180490,171400126,181420603,190222068,197822211,264376805,209696870,214126029,215361158,218752201,221615303,265692921,224074078,221615302,218752200,215361154,211257375,206234788,200161080,192967969,184582975,174980897,164163652,152278757,139547257,126171494,112310830,260503763 Dl.O(d2) = 255275724,16551430,11536307,7674808,4856258,4856259,7674811,11536311,10689067,10689068,255405591,28714685,37245692,47151044,47151078,47151079,52875010,42471083,33477334,33477335,35191735,35191733,37217381,47114554,52454741,255213818,33148181,33148188,25407740,25407741,33148190,42102302,50993121,48955719,39033612,39033613,48955722,60352373,73092060,86696542,87130820,73512001,60762823,60762822,49359507,39429858,30825737,23398147,23398148,30825739,39429862,257144430,33735544,42765658,53215512,65201395,78485958,92526055,261478189,121097324,262010891,171479576,181492128,190281334,197868876,204334928,206396969,200343536,193177356,184827799,175265032,164488662,152637301,139930486,271303420,98706464,84778541,71209921,58488395,47110515,37213721,28689111,21438584,254732768,7052329,4439058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660050, s2 = 14229215, dlinesl.size( ) = 2 s1 = 11660050, s2 = 14229215, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660050, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 7159260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7159260, s2 = 3579433, int(edited[s2]) = 0 s1 = 7159260, s2 = 3579433, d1 = 18, d2 = 0 Dl.O(d1) = 263373786 Dl.O(d2) = 121098918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7159260, s2 = 3579433, dlinesl.size( ) = 20 s1 = 10183781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4552091, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8598655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4552322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9424255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9424255, s2 = 15165774, int(edited[s2]) = 0 s1 = 9424255, s2 = 15165774, d1 = 19, d2 = 16 Dl.O(d1) = 126474527,125413181,111614250,97695746,83838189,70313356,57622853,46278389,36425596,268149218,57622851,70313353,59362304,47971735,38059371,38059370,33681538,33681539,268295932,13846581,13846582,19358653,26036394,33857662,42902540,53368297,42902511,33857642,31275585,31275584,39950544,43861301,54604062,58429553,268295930,52845375,64765212,65787697,57955305,46578732,46578648,40242699,40242698,37284985,28750698,21491253,21010629,15090221,15090220,21010627,28202252,36692303,46578654,256639884,53731495,43219267,34131319,34131318,43219264,46937493,42902513,33857644,26036382,19358647,19358648,26036385,31556668,40242675,36692350,36692351,46578698,37081030,37081031,46961837,58329228,70674215,58429544,47054968,40242705,31556685,24052372,17698497,17698494,24052367,31556673,40242681,256139584,64625365,77807831,91735492,271549499,261942532,260837112,114839629,114839630,128739154,261780901,262292307,177030287,181758845,190502153,198048308,204477544,204477539,264149374,190502135,181758809,181758810,171783147,160584000,148311981,135139684,135139683,148311978,160583991,171783138,263751233,263057092,148312007,261048024,260920141,148312005,160584030,160584045,262373928,154460170,154460171,262758887,186205642,263933787 Dl.O(d2) = 166879011,166879012,177423943,186736971,177423916,166878991,155187289,142543771,142543770,155187287,166878988,263605965,177423924,177423923,186736982,194847289,201788647,201788655,194847298,186736962,186736961,186736942,177423894,262093840,155187277,166878969,177423885,186736933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9424255, s2 = 15165774, dlinesl.size( ) = 2 s1 = 9424255, s2 = 15165774, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9424255, Dl.E( ) = 22, 2.79e-05 seconds used appending s1 = 4395257, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9589340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9589340, s2 = 15586740, int(edited[s2]) = 0 s1 = 9589340, s2 = 15586740, d1 = 33, d2 = 29 Dl.O(d1) = 221000055,223536567,225734967,225669111,223445950,220877077,217863307,214257129,209865135,204507389,198081596,190539970,181803595 Dl.O(d2) = 48421559,59807378,72542491,86141020,100107445,114141311,128030246,141398522,137688220,124006988,259810563,81630623,68140531,257334747,35409385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9589340, s2 = 15586740, dlinesl.size( ) = 2 s1 = 9589340, s2 = 15586740, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9589340, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 7224771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7096823, s2 = 7131629, int(edited[s2]) = 0 s1 = 7096823, s2 = 7131629, d1 = 9, d2 = 19 Dl.O(d1) = 262530291 Dl.O(d2) = 263016058,128583623,114686224,100640748,258508008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13536943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4397604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7062016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7062016, s2 = 3090957, int(edited[s2]) = 0 s1 = 7062016, s2 = 3090957, d1 = 97, d2 = 30 Dl.O(d1) = 262040061 Dl.O(d2) = 125503615,260469621,97776488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7062016, s2 = 3090957, dlinesl.size( ) = 42 s1 = 8556990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9038931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6891316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6891316, s2 = 11382602, int(edited[s2]) = 0 s1 = 6891316, s2 = 11382602, d1 = 25, d2 = 40 Dl.O(d1) = 259732055,262045345 Dl.O(d2) = 269843174,256475244,6561151,4110367,2458672,2458674,3631215,5820822,3631326,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,994676,1417806,1417805,254317221,6543837,254979183,255332791,14471021,18785757,23079950,255130534,11767372,16827670,20163342,14465533,9956764,6543994,4099837,4099836,6543873,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987292,7857901,11769671,258193393,86785113,100765921,100765922,114818000,128717889,261232766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6891316, s2 = 11382602, dlinesl.size( ) = 24 s1 = 4558496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6680971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6680971, s2 = 8991375, int(edited[s2]) = 0 s1 = 6680971, s2 = 8991375, d1 = 100, d2 = 99 Dl.O(d1) = 257263722,172867221 Dl.O(d2) = 244608379,267397231,267431685,267476899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6680971, s2 = 8991375, dlinesl.size( ) = 70 s1 = 7062616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4402133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9695642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9695642, s2 = 10348854, int(edited[s2]) = 0 s1 = 9695642, s2 = 10348854, d1 = 52, d2 = 3 Dl.O(d1) = 20193147,20193149,27091898,35180639,41756760,33223054,25475142,25475140,33223048,42182405,33222457,33222455,33223045,42182400,42182399,50599900,52542422,254922854,31857306,24335272,24335271,31857303,40558875,42182391,42183082,33223101,25475172,25475171,33223099,42183079,52541937,58295574,46929826,46929825,44772539,35347306,27224287,27224288,21586708,15561595,15561596,21586711,28860461,37401883,33223065,25475149,18873874,13449318,13449316,18873869,24335284,17945570,12716215,8640148,5619176,3490798,3490799,5619179,8640156,12716229,17945591,268452315,37529940,31857209,31857208,40558819,47739885,37817532,31857255,30434490,30434491,31857253,28603293,21702447,17945543,17945544,20271785,14544539,10007071,10007072,14544541,20271789,15407945,10650072,7032100,7032099,10650069,255400867,28631824,37145796,47034785,258051507,84689422,98614005,112609056,126477451,139848548,262172195 Dl.O(d2) = 43359050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7062786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354197, s2 = 10355783, int(edited[s2]) = 0 s1 = 10354197, s2 = 10355783, d1 = 2, d2 = 55 Dl.O(d1) = 15516610 Dl.O(d2) = 172991177,264112019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354197, s2 = 10355783, dlinesl.size( ) = 66 s1 = 9436640, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8690488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4952394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4952394, s2 = 14190553, int(edited[s2]) = 0 s1 = 4952394, s2 = 14190553, d1 = 23, d2 = 24 Dl.O(d1) = 205280056,263569490 Dl.O(d2) = 27125557,27125558,20221097,14510239,14510240,20221099,19844332,19844333,26658438,34649784,35218781,35218773,27125566,27125547,27125546,27125428,20220948,14510146,254694515,4111173,2459138,2459139,4111177,6562450,9984512,14510160,20220974,27125461,35218664,27125463,20220975,14510158,255337321,27125466,35218671,44599447,44599603,44599604,55448820,44599508,44599507,40408743,31716578,256549573,50442768,40408727,31716568,24208813,17838743,17838744,24208814,31716570,40408733,50442762,257248335,33936310,33936309,42871674,33830488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4952394, s2 = 14190553, dlinesl.size( ) = 2 s1 = 4952394, s2 = 14190553, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4952394, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 4230348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4546818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7161056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 883319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 883319, s2 = 4103964, int(edited[s2]) = 0 s1 = 883319, s2 = 4103964, d1 = 17, d2 = 72 Dl.O(d1) = 22557483,262253375 Dl.O(d2) = 263133336,165178836,153374516 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352273, s2 = 8060975, int(edited[s2]) = 0 s1 = 10352273, s2 = 8060975, d1 = 15, d2 = 21 Dl.O(d1) = 9764070,257285331 Dl.O(d2) = 35591219,27411118,20437761,14666005,14632110,10131381,10131379,10077064,10077062,10064044,6611558,4182677,2501000,2500988,1443003,1442997,2499190,1442251,1442246,1450908,821736,821731,1450932,2517436,4210088,6719702,10226621,14871616,20746780,27881671,20756448,20756453,21487969,28746191,37278750,45752873,45752870,55974125,55974124,46120411,36314571,36314568,259140634,43148840,53654779,65706776,56440659,56440658,46490494,36624178,28150809 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9043292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9043292, s2 = 10212584, int(edited[s2]) = 0 s1 = 9043292, s2 = 10212584, d1 = 13, d2 = 24 Dl.O(d1) = 191667100,199070745,264411739,274190792 Dl.O(d2) = 149893959,136752189,261150090,80311386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9043292, s2 = 10212584, dlinesl.size( ) = 18 s1 = 9518427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9518427, s2 = 9025095, int(edited[s2]) = 0 s1 = 9518427, s2 = 9025095, d1 = 41, d2 = 35 Dl.O(d1) = 162116207,149904680,136764204,122933298,122933297,136764201,136764238,149904681,261536717,136764228,149904673,136764192,260377915,94381987,94381988,108669079,122933291,136764179,149904648,261536709,261536711,261536701,136764177,149904644,162116192,162116194,149904645,136764222,136764223,149904690,260705866,136764229,261279182,263013995,162116245,162116244,263013993,191675274,199078263,199078260,263966410,272769675,122933312,136764226,261536703,260377917,108669079,122933291,122933281,122933283,136764185,149904656,136764246,122933329,108669101,94382002,94382003,108669106,260377921,94381991,94381990,108669086,122933305,136764215,136764233,122933321,108669097,94381996,80326855,66899356,54641941,54641942,258505153,94381997,108669099,122933325,136764239,149904708,162116224,162116268,149904721,136764245,122933329,108669101,94382002,94382001,108669104,122933319,261536719,162116251,173215909,183066520,183066511,173215891,162116222,162116223,262561551,273312716,259762863,80326850,259762861,122933308,261536711,162116191,273742754,162116267,162116204,149904716,149904691,136764224,136764225,149904693,149904728,136764254 Dl.O(d2) = 136764176,122933276,108669070,270633495,257885903,258505151,94381988,108669079,122933291,122933281,122933283,136764185,149904656,136764246,122933329,108669101,94382002,94382003,108669106,108669109,94382008,80326861,80326860,271145065,122933338,136764253,136764236,136764237,149904707,149904710,149904711,162116260,162116198,262330364,173215902,162116242,162116243,162561091,162561090,162116255,162116253,262561559,162116213,149904665,136764189,122933288,108669077,94381985,80326847,259134023,108669074,122933283,136764185,149904656,136764246,122933329,108669101,94382002,258505155,66899358,80326858,94381999,94381984,94381983,108669072,260971741,136764218,136764217,136764248,136764247,149904723,162116269,149904721,136764245,122933329,108669101,94382002,94382003,108669106,108669109,94382008,80326861,80326860,271145065,122933338,136764253,136764236,136764237,149904707,149904710,149904711,162116260,162116198,262330364,173215902,162116242,162116243,162561091,162561090,162116255,162116253,262561559,162116261,162116229,149904687,136764233,122933321,108669097,94381996,80326855,66899356,54641941,54641942,258505153,94381997,108669099,122933325,136764239,149904711,162116260,162116198,262330364,173215902,162116242,261536715,136764226,261536703,260377917,108669079,122933291,122933281,122933283,136764185,149904656,136764246,122933329,108669101,94382002,94382003,108669106,108669109,94382008,80326861,80326860,271145065,260377929,94382006,80326861,80326860,271145065,122933338,136764253,136764236,136764237,149904707,149904710,149904711,162116260,162116198,149904646,136764218,122933306,108669088,94381991,94381990,108669086,122933305,136764215,136764233,122933321,108669097,94381996,80326855,66899356,66899355,260377923,136764225,149904693,149904728,149904727,162116275,162116249,149904701,261279182,162116210,149904659,136764187,136764186,149904657,262561533,162116221,262561539,162116208,262561533,173215889,263421661,183066518,262330368,149904688,136764233,122933321,108669097,94381996,80326855,66899356,54641941,43898807,34626552,26636732,19824782,14200969,268330005,54641937,259134021,108669068,122933274,136764172,262068373,165330115,273347693,193760242,200847810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9518427, s2 = 9025095, dlinesl.size( ) = 22 s1 = 8524729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10206437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4233420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8693631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8693631, s2 = 15877672, int(edited[s2]) = 0 s1 = 8693631, s2 = 15877672, d1 = 28, d2 = 25 Dl.O(d1) = 191701296,191701297,191701273,263216782,173243583,173243605,183093379,191701276,263954522,191701286,273738028,183093387,173243590,173243591,183093389,191701286,191701283,183093387,183093386,191701274,263216782,173243583,173243605 Dl.O(d2) = 162144943,149933680,136798266,122967893,108702577,94415405,80361443,258884306,71979415,60688615,49287148,39360071,39360070,49287144,60688612,73437036,258991494,102046088,88060923,85705850,84993678,84993679,98918387,100491834,87586331,73985758,61206421,49727683,49727684,41648991,268733253,255880883,22028567,29358916,22028527,15927496,15927495,22028524,25049370,18512918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8693631, s2 = 15877672, dlinesl.size( ) = 24 s1 = 6940330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6843940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6843940, s2 = 7161752, int(edited[s2]) = 0 s1 = 6843940, s2 = 7161752, d1 = 11, d2 = 7 Dl.O(d1) = 259139837,262073445 Dl.O(d2) = 263426213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8482139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9715383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9715383, s2 = 10357400, int(edited[s2]) = 0 s1 = 9715383, s2 = 10357400, d1 = 15, d2 = 16 Dl.O(d1) = 261268977,151165770,151165769,151165773,163107211 Dl.O(d2) = 263840724,186017978,186017980,186825963,177538124,167029228,262450934,273307923,163107139,262076154,273333371,164557317,164557471,152719624,152719625,261752034,163107170,151165747,138383863,262601415,165945508,176591996,177447374,177447375,186756634,263956979,194920266,186825699,177537843,177537844,186825701,189435479,180527321,177537977,177537979,186825834,183706147,183706146,177418289,166872793,155181023,155181022,260845524,272691896,146690639,260854912,119574297,272365027,262914691,186013411,193215221,186757113,180527290,170392618,159056323,159056322,164557369,152719546,140024808,140024811,152719565,164557175,164557174,155180775,142537657,137503705,123779820,109589889,95335028,95335027,109589884,123779802,137503678,150533639,162652727,163107061,151165652,138383807,138383805,151165645,163107047,262076122,263703054,186770312,177463235,177463237,272976496,180527410,264235961,201262366,272691606,126671626,140024816,152719576,142537639,129161794,129161792,142537636,155180743,166872445,177417922,177418096,166872603,166872602,261950478,194843397,186731911,186012911,186012910,192014323,192014318,192014317,186012908,186012909,194226466,201262308,194864860,194864859,199528764,199528765,194226578,262568526,165945158,154185719,154185720,261565260,262741317,186013069,194226569,194920358,200375436,193215482,184873794,261949622,164557473,261950734,186732553,272691924,173674066,183459799,186731871,177418580,177418581,174003263,163107072,151165658,151165657,163107070,174003254,183706178,192205965,199528820,205727113,210609270,205442004,199197586,199197587,202236895,195363234,262450692,167624177,156015911,143478649,133441284,133441285,146690613,159056293,170392573,180527227,186757117,177447899,263219989,194864861,263702944,186012841,176591363,165945002,165945003,176591364,186012842,194226428,199372979,263703078,194864860,263328414,166907527,166907529,177447898,183706246,184873667,175321289,175321290,180527226,180527225,186732441,186732553,272691924,162652761,162652762,260845478,146690613,159056293,170392573,180527227,186757117,177447899,263219989,263840706,263078670,200375341,199373053,192014183,262149980,173674062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9715383, s2 = 10357400, dlinesl.size( ) = 14 s1 = 8719601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8719601, s2 = 4707577, int(edited[s2]) = 0 s1 = 8719601, s2 = 4707577, d1 = 96, d2 = 127 Dl.O(d1) = 258521615,271655931,273674717 Dl.O(d2) = 273958347,264680827,263794903,191848328,199224837,205465756,210628568,265134911 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9217470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8694075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13525221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4410807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4410807, s2 = 613717, int(edited[s2]) = 0 s1 = 4410807, s2 = 613717, d1 = 24, d2 = 6 Dl.O(d1) = 173517045 Dl.O(d2) = 15773561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4410807, s2 = 613717, dlinesl.size( ) = 42 s1 = 9506087, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11660232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10169305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10169305, s2 = 14165695, int(edited[s2]) = 0 s1 = 10169305, s2 = 14165695, d1 = 11, d2 = 11 Dl.O(d1) = 74217885,61438491,256623798,39943469,31268744,255438004,20292827,20292826,20821613,254713838,17371568,254842277,5332683,254267921,1101584,618281,618283,1101590,1928036,3277911,5332738,5331947,3761112,2984971,1733004,1733002,2984963,4945694,5326977,5326978,8257268,12229624,12309201,17368849,17371262,12239114,8264734,8264735,7783009,4933315,2976267,2976266,4933311,7783001,7713051,7713049,11587499,8315354,5365479,5365478,3299149,3299148,5366487,8256361,5326383,5326382,5335710,5335711,8269176,12244003,17375985,22315438,17357365,17357364,17797465,268085787,7460831,4714516,2840137,1647492,1647491,2840134,3286267,1932557,1932559,3286276,5347278,8288919,12274089,13443220,12592839,8543992,8543993,7457727,4712394,2838871,2838869,4712370,7456013,7456012,11231815,12273184,8287996,8287998,12273164,11231441,7452838,4708846,4708845,7452836,11231437,16164331,22310928,23691191,18864973,13441833,268262774,2255035,1308806,1308805,1139500,639293,639292,1139494,1159721,1159725,2026072,2051205,1176568,660467,660469,1176572,2043806,1987301,1987303,2252946,3760937,2253343,1307747,1307745,1008876,568601,318469,318467,568594,1008864,1770197,3039863,5022128,5495303,3385335,1993952,1990108,1990107,2031496,1163510,652937,652936,1163507,2031493,2031502,1660939,267752571,298981,298980,533017,945029,1660928,2861828,3425702,3095849,3095850,3392840,3034297,1999531,1999530,2043758,3450205,5488474,3434189,3433910,2031084,1163207,652744,361953,198109,198110,361956,652754,1163220,1989998,1989985,1987190,1137038,637928,637787,637786,1136800,1989511,3379286,3447783,3425701,2024066,1158346,649894,649893,1158344,1168130,1168129,2038576,254280977,1167030,655000,654999,366009,366010,660381,1176402,660396,660395,1176425,2037544,3442388,5557808,8560760,12612293,256040505,30496008,29532942,22190010,22190009,24635614,18180144,12893194,12893195,18180147,24635621,22127964,16013188,16013189,22127965,256924873,49022036,42149176,33190092,31691233,31691234,40384824,50419367,257176984,44781344,35357272,33013415,25288440,18715516,13322208,9102146,9102145,13322203,18715505,25288422,33013387,32182481,32182482,40961600,41509919,32626317,24958463,18441118,18441119,24958467,32626322,33881784,35357587,27234789,27234788,35357582,44781678,55689414,68087574,81577429,95611136,109814564,123952196,137631055,126327078,112460669,98470406,84548362,70985287,58270768,46905489,256314089,21307796,15337915,15337916,14349997,9859633,6476655,6476656,9859637,14350003,20033378,26918014,34999494,36569045,254863926,37559986,40476483,37560009,29013649,29013651,37028463,29562600,29562602,37771994,29210141,29210140,26917978,26917977,34999440,31241528,23757461,23757463,31241532,256537670,58851206,48541885,38627018,255929120,22677000,22677001,30053132,256212946,58270766,70985286,84548361,258190716,64425163,52551214,42192631,33232576,25701557,19075417,13618287,9324926,9324928,13618290,12225363,12225362,17354178,23673666,25484044,25484045,31162216,23824985,23824984,31314081,256283807,20951629,255796187,25254263,32977150,41917317,52255579,258384091,91169845,105391850,260850779,146756225,261955680,180611030,189516625,197212122,203776119,209256048,209029987,203478970,196849966,189103167,180158049,272591936,260687904,133016682,119181726,104986788,90808999,76932739,63824976,52009039,41697270,41697269,52009038,49444442,257618153,73595422,87217466,101218335,115296526,129225029,142596278,155233981,166919682,177459121,186767037,194873298,201812307,207653325,212469017,216406083,218796397,215409480,211310759,264173445,193044066,263490049,175082932,164279495,152406024,261091027,126311170,139683441,152406025,272352048,119947068,105712245,91488303,77557505,64389312,52515444,42157248,33197599,33197600,42157249,52515446,64389313,77557507,259658643,119947069,133814027,147059745,159437342,170779081,180909915,173544628,262829276,150377168,137335418,123603311,109410808,95156212,81098772,67633223,55295197,44450660,35075816,26991531,20101453,20101454,26991533,35075819,44450667,55295206,67633230,81098774,95156213,109410809,260990883,137335420,150377169,162509481,173544629,183342756,191908576,199277375,205512239,210669998,210669995,210669996,214883513,218350680,221264212,222425721,219668624,216404091,212466843,207650811,201809440,194869981,186762896,262789939,155228052,142590048,272247643,115289727,101211136,87210161,73587949,60838310,49436713,39505836,257036201,23464971,17185439,12083760,254830241,5205888,5205887,8125850,12083758,17185438,23464970,18630018,18630019,25190873,21533861,15519448,10733347,7091705,7091704,10733342,15519436,12853463,12853465,18126756,24566870,32150235,36949582,28449363,21222796,21222797,28449365,36949586,37717842,29157903,21849494,21849493,29157901,23147099,16886660,11815714,11815715,16886662,21645863,21645862,28921147,37460596,36954493,36954495,257425639,39161839,39161838,46832664,51068200,55660894,255833486,30564290,30564293,32150350,32150349,40927878,40927691,32150214,32150216,40927695,37549567,36954430,28453864,21226769,21226770,28453869,36954440,46827672,46827679,47639884,37717850,29157909,21849499,21849500,24822054,20091542,20091543,26980156,35063542,29157894,29157896,32150263,24566888,18126773,12853474,12853475,18126776,24566894,23709508,23709509,31198259,32150273,30564314,30564313,30612339,39208516,49135461,60535618,73241731,86854545,100835359,91965631,78038510,78038509,269999446,62697162,51068248,40927751,32150271,268631811,22132064,29467294,38029904,42506996,33508029,25729521,25729522,33508031,35017398,26936040,26936039,35017394,44393661,55242300,44410720,44410721,55258289,55258282,44410714,44410715,55258267,55258266,52359127,42020031,42020030,47981738,256385925,29505965,38069492,47981742,59335874,47943879,47943878,40927755,32150275,24566897,24566898,31198261,39879484,49900894,61381399,52916566,47943818,38029845,38029844,42020025,38029885,38029886,47943885,59335877,47981748,38069494,38069495,47981751,49389011,44410707,35036172,26956184,26956183,35036169,29467273,22132050,22132051,29467275,35036176,44410710,55258277,59655957,48269369,48269370,38809346,38809345,38407575,38407576,41608550,41608551,48318295,41608562,32705199,32705201,41608564,51908678,49335547 Dl.O(d2) = 74217885,61438491,256623798,39943469,31268744,255438004,20292827,20292826,20821613,254713838,17371568,254842277,5332683,254267921,1101584,618281,618283,1101590,1928036,3277911,5332738,5331947,3761112,2984971,1733004,1733002,2984963,4945694,5326977,5326978,8257268,12229624,12309201,17368849,17371262,12239114,8264734,8264735,7783009,4933315,2976267,2976266,4933311,7783001,7713051,7713049,11587499,8315354,5365479,5365478,3299149,3299148,5366487,8256361,5326383,5326382,5335710,5335711,8269176,12244003,17375985,22315438,17357365,17357364,17797465,268085787,7460831,4714516,2840137,1647492,1647491,2840134,3286267,1932557,1932559,3286276,5347278,8288919,12274089,13443220,12592839,8543992,8543993,7457727,4712394,2838871,2838869,4712370,7456013,7456012,11231815,12273184,8287996,8287998,12273164,11231441,7452838,4708846,4708845,7452836,11231437,16164331,22310928,23691191,18864973,13441833,268262774,2255035,1308806,1308805,1139500,639293,639292,1139494,1159721,1159725,2026072,2051205,1176568,660467,660469,1176572,2043806,1987301,1987303,2252946,3760937,2253343,1307747,1307745,1008876,568601,318469,318467,568594,1008864,1770197,3039863,5022128,5495303,3385335,1993952,1990108,1990107,2031496,1163510,652937,652936,1163507,2031493,2031502,1660939,267752571,298981,298980,533017,945029,1660928,2861828,3425702,3095849,3095850,3392840,3034297,1999531,1999530,2043758,3450205,5488474,3434189,3433910,2031084,1163207,652744,361953,198109,198110,361956,652754,1163220,1989998,1989985,1987190,1137038,637928,637787,637786,1136800,1989511,3379286,3447783,3425701,2024066,1158346,649894,649893,1158344,1168130,1168129,2038576,254280977,1167030,655000,654999,366009,366010,660381,1176402,660396,660395,1176425,2037544,3442388,5557808,8560760,12612293,256040505,30496008,29532942,22190010,22190009,24635614,18180144,12893194,12893195,18180147,24635621,22127964,16013188,16013189,22127965,256924873,49022036,42149176,33190092,31691233,31691234,40384824,50419367,257176984,44781344,35357272,33013415,25288440,18715516,13322208,9102146,9102145,13322203,18715505,25288422,33013387,32182481,32182482,40961600,41509919,32626317,24958463,18441118,18441119,24958467,32626322,33881784,35357587,27234789,27234788,35357582,44781678,55689414,68087574,81577429,95611136,109814564,123952196,137631055,126327078,112460669,98470406,84548362,70985287,58270768,46905489,256314089,21307796,15337915,15337916,14349997,9859633,6476655,6476656,9859637,14350003,20033378,26918014,34999494,36569045,254863926,37559986,40476483,37560009,29013649,29013651,37028463,29562600,29562602,37771994,29210141,29210140,26917978,26917977,34999440,31241528,23757461,23757463,31241532,256537670,58851206,48541885,38627018,255929120,22677000,22677001,30053132,256212946,58270766,70985286,84548361,258190716,64425163,52551214,42192631,33232576,25701557,19075417,13618287,9324926,9324928,13618290,12225363,12225362,17354178,23673666,25484044,25484045,31162216,23824985,23824984,31314081,256283807,20951629,255796187,25254263,32977150,41917317,52255579,258384091,91169845,105391850,260850779,146756225,261955680,180611030,189516625,197212122,203776119,209256048,209029987,203478970,196849966,189103167,180158049,272591936,260687904,133016682,119181726,104986788,90808999,76932739,63824976,52009039,41697270,41697269,52009038,49444442,257618153,73595422,87217466,101218335,115296526,129225029,142596278,155233981,166919682,177459121,186767037,194873298,201812307,207653325,212469017,216406083,218796397,215409480,211310759,264173445,193044066,263490049,175082932,164279495,152406024,261091027,126311170,139683441,152406025,272352048,119947068,105712245,91488303,77557505,64389312,52515444,42157248,33197599,33197600,42157249,52515446,64389313,77557507,259658643,119947069,133814027,147059745,159437342,170779081,180909915,173544628,262829276,150377168,137335418,123603311,109410808,95156212,81098772,67633223,55295197,44450660,35075816,26991531,20101453,20101454,26991533,35075819,44450667,55295206,67633230,81098774,95156213,109410809,260990883,137335420,150377169,162509481,173544629,183342756,191908576,199277375,205512239,210669998,210669995,210669996,214883513,218350680,221264212,222425721,219668624,216404091,212466843,207650811,201809440,194869981,186762896,262789939,155228052,142590048,272247643,115289727,101211136,87210161,73587949,60838310,49436713,39505836,257036201,23464971,17185439,12083760,254830241,5205888,5205887,8125850,12083758,17185438,23464970,18630018,18630019,25190873,21533861,15519448,10733347,7091705,7091704,10733342,15519436,12853463,12853465,18126756,24566870,32150235,36949582,28449363,21222796,21222797,28449365,36949586,37717842,29157903,21849494,21849493,29157901,23147099,16886660,11815714,11815715,16886662,21645863,21645862,28921147,37460596,36954493,36954495,257425639,39161839,39161838,46832664,51068200,55660894,255833486,30564290,30564293,32150350,32150349,40927878,40927691,32150214,32150216,40927695,37549567,36954430,28453864,21226769,21226770,28453869,36954440,46827672,46827679,47639884,37717850,29157909,21849499,21849500,24822054,20091542,20091543,26980156,35063542,29157894,29157896,32150263,24566888,18126773,12853474,12853475,18126776,24566894,23709508,23709509,31198259,32150273,30564314,30564313,30612339,39208516,49135461,60535618,73241731,86854545,100835359,91965631,78038510,78038509,269999446,62697162,51068248,40927751,32150271,268631811,22132064,29467294,38029904,42506996,33508029,25729521,25729522,33508031,35017398,26936040,26936039,35017394,44393661,55242300,44410720,44410721,55258289,55258282,44410714,44410715,55258267,55258266,52359127,42020031,42020030,47981738,256385925,29505965,38069492,47981742,59335874,47943879,47943878,40927755,32150275,24566897,24566898,31198261,39879484,49900894,61381399,52916566,47943818,38029845,38029844,42020025,38029885,38029886,47943885,59335877,47981748,38069494,38069495,47981751,49389011,44410707,35036172,26956184,26956183,35036169,29467273,22132050,22132051,29467275,35036176,44410710,55258277,59655957,48269369,48269370,38809346,38809345,38407575,38407576,41608550,41608551,48318295,41608562,32705199,32705201,41608564,51908678,49335547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10169305, s2 = 14165695, dlinesl.size( ) = 2 s1 = 10169305, s2 = 14165695, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10169305, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 4492970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3351816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4412476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4412476, s2 = 15264131, int(edited[s2]) = 0 s1 = 4412476, s2 = 15264131, d1 = 8, d2 = 45 Dl.O(d1) = 173566097 Dl.O(d2) = 137360464,123628164,109434654,95178503,81119990,67653478,55314057,44468129,35091607,35091609,34280611,34280610,41210544,32389261,32389260,41210543,51404397,44467386,38209260,29642617,22290754,16146399,11217295,7442848,4702720,2833078,2833079,4702723,7442854,11217304,16146413,17200147,12095233,12095235,17200152,23483536,29748245,32718691,35254222,35254219,42101275,42101274,37351526,28812891,28812890,35091624,35091625,41210541,41210542,254690168,76098797,89900232,104025311,256745406,136682756,122838971,108561525,256760336,79844815,67346538,55017268,55017269,55038048,44228218,34874089,26817676,26817678,19975219,14301907,14301469,9824431,6454357,6454355,9824486,14301746,19974955,26848246,34916200,44282820,50071378,50071381,269873805,63164885,76174829,66197328,54078956,43502923,34366710,268325107,19718889,26469149,34366705,42836801,42836434,42836437,53292103,55084477,67417636,80886163,257417238,94230761,80160340,80160339,79793160,259122047,271626585,271527484,116490320,115465599,101418838,87443344,87443343,95055833,103316401,89221659,257978752,50940928,40819994,40819997,50940936,50981823,40848103,40848101,40596217,40596218,40848108,50981838,62603511,75541190,66030731,66030729,257868039,43447942,43447943,53992234,66082050,79462131,93595626,108020933,260962001,149654621,149692451,272065519,260441766,101258617,259230926,71249777,58521059,47136090,47136091,58521062,58522297,47136929,47136930,45016672,35541340,35541341,44240439,34883667,26825116,19958836,14290884,9817609,6450248,6450252,4047709,2423299,1401973,1401971,2423376,4047501,2423260,2423256,4047558,6457901,9830629,14310629,19986299,26861729,34933338,41272959,32436787,32436790,41272965,48454477,38543408,38543393,29975441,29975443,38543400,48454524,59843961,62550043,62550041,66331344,55119874,44278780,44278782,54099110,54099065,54099064,56225367,56225366,68715461,80183696,76637552,63556013,51774834,51774835,63556019,66635818,80058591,79468836,66088064,66088065,66710027,66710029,77379506,64229786,52375428,52375431,42032839,42032841,52375473,64229863,61020718,61020720,49591328,49591331,55098700,49606517,49606520,39625273,39625269,49608187,61057156,54265943,54265948,54233181,43600866,34422365,34422367,34758541,34758540,44077641,54880872,61027325,61027322,60971230,49542449,39688674,39688675,49555872,60989382,270368269,66242750,66242751,79632337,66813427,66813428,80093414,80093415,76792587,76792588,259622805,108109601,257981164,79594736,93710931,270693646,93569403,94914488,80903197,67435273,257349208,34900245,34900244,44262382,55100071,67435271,67255180,67255181,80095826,80095824,80446691,76476117,63429806,54406555,43718326,34492569,26536849,26536852,34492481,34492485,43718183,53246335,53246336,44329576,44329574,54422415,66477502,63432586,63431710,63431040,63431039,76477482,90307386,93752298,79642776,73811749,73811748,87426277,93537931,79462133,79462129,66082049,66082050,79462131,93595626,108020933,260962001,149654621,149692451,272065519,260441766,101258617,259230926,71249777,58521059,47136090,47136091,58521062,58522297,47136929,47136930,45016672,35541340,35541341,44240439,34883667,26825116,19958836,14290884,9817609,6450248,6450252,4047288,2423185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4412476, s2 = 15264131, dlinesl.size( ) = 36 s1 = 7065083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8668550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10264097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8720259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9161089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4413429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7919091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13715831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4413735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7681987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7100018, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14165698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4414132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7065577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4415241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10232857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10232857, s2 = 11154886, int(edited[s2]) = 0 s1 = 10232857, s2 = 11154886, d1 = 72, d2 = 48 Dl.O(d1) = 123772353,137496620,150526741,162645984,173667435,183453617,192008744,199368355,205595108,205595109,199368341,192008735,183453610,173667430,162645982,150526740,137496619,137496620,272782713,173667436,183453618,183453610,173667430,162645982,262585707 Dl.O(d2) = 98883698,258692122,256876956,23183509,23183512,20797293,14904259,10247569,10247571,7913119,5030423,5030424,7913106,11840444,16918337,21309241,21309242,28531944,30601801,23183104,16917845,16917844,23183099,22052236,16919783,16919782,23185730,24312998,17927678,17927676,24312993,256558517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10232857, s2 = 11154886, dlinesl.size( ) = 20 s1 = 4572117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3845638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4417445, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4418493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4418493, s2 = 8607327, int(edited[s2]) = 0 s1 = 4418493, s2 = 8607327, d1 = 30, d2 = 28 Dl.O(d1) = 173746035 Dl.O(d2) = 166550769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4418493, s2 = 8607327, dlinesl.size( ) = 16 s1 = 9717681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14690945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14690945, s2 = 10358706, int(edited[s2]) = 0 s1 = 14690945, s2 = 10358706, d1 = 48, d2 = 62 Dl.O(d1) = 174476228 Dl.O(d2) = 216154954 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358707, s2 = 14690946, int(edited[s2]) = 0 s1 = 10358707, s2 = 14690946, d1 = 26, d2 = 20 Dl.O(d1) = 212175799 Dl.O(d2) = 162768314 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7066431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4963228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4963228, s2 = 7066430, int(edited[s2]) = 0 s1 = 4963228, s2 = 7066430, d1 = 14, d2 = 13 Dl.O(d1) = 205649559,262919574,183536392,262919572 Dl.O(d2) = 146803507,262101504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4963228, s2 = 7066430, dlinesl.size( ) = 2 s1 = 4963228, s2 = 7066430, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4963228, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 14324707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14324707, s2 = 13541832, int(edited[s2]) = 0 s1 = 14324707, s2 = 13541832, d1 = 11, d2 = 30 Dl.O(d1) = 261126481,152920336,164751035 Dl.O(d2) = 214243360,214243361,217850546,220864659,223434023,220864660,217850548,264652378,204488821,204488822,207279557,209849765,204488816,198059212,190512500,181768827,181768826,171793022,262753236,107006730,92673692,258451101,53321887,52050951,41736316,41736317,33818175,26001060,26001059,33818174,41736077,41736076,42859323,257834081,78618530,92673690,107006729,121299332,135149123,148321585,160593797,162140056,149928529,136792916,122962699,122962698,136792896,122962688,260973779,272770253,149928511,149928513,162140035,173239158,173239159,183089453,274069056,191697610,199099831,205360750,210542970,210542971,214777414,218261952,221189190,223696148,225868208,225927112,223764243,221269074,264923109,210676707,205519901,263800597,183354776,173558173,262577042,123620040,109426163,95169853,81111380,67645100,55306165,44461161,35085932,27001136,20111189,14422421,9920869,6520354,4085450,4085449,6520353,254976109,14422420,268338209,27001135,35085931,44461160,269637213,259159573,109426162,123620039,261554937,162524966,153635683,140968545,127619115,113750434,99736243,85782525,85782526,258088576,127619112,140968543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14324707, s2 = 13541832, dlinesl.size( ) = 8 s1 = 10352853, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6985021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9333647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9333647, s2 = 9471338, int(edited[s2]) = 0 s1 = 9333647, s2 = 9471338, d1 = 1, d2 = 1 Dl.O(d1) = 45177952,45559384,45559383,56699366,257337542,74651782,82123768,68598572,56123746,45122491,45122490,38562923,29992635,22624416,22624417,29992643,35882020,27600597,27600598,27728125,27662264,27662262,35856126,27582784,20549867,20549863,27582768,27590869,20607358,14865842,14865839,14667681,10234255,10234253,10076600,6618695,6618697,6723849,4216342,4216340,4214362,2519999,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518657,27536015,35782376,35781827,35781823,45362592,56234968,46159282,36342414,36342417,46159271,57408381,55632815,44733807,35313595,27193331,20546523,14739350,10135859,10135860,14739351,20546524,27576685,35846022,45463441,56576888,69126427,82655549,96633827,110721572,124702009,138197737,272797347,163005055,173928730,183651332,192164581,199497015,205702934,210836655,214171808,209752695,204363882,197904280,190324685,181546687,262964409,262013729,134981410,121173180,106906828,92588262,78540801,65250681,53261067,42808007,33775611,25965847,19299705,13798981,13798982,19299709,256164003,33689912,33689911,42720046,256026000,48055899,48055898,59447592,62104284,257079058,88546273,269876638,257155667,256602899,256592784,36544577,28076601,267925206,10330017,10330020,14999621,20904369,28076622,36544607,46406001,57756825,70451936,83979811,257068502,57832538,46476775,36610847,28137081,255175226,46476776,57832539,70534031,84070365,97943256,111879465,125696298,139034805,151737212,163613709,174452201,184103133,192555709,199829592,205978086,263974358,209706112,264078097,190246975,181452966,171434899,160215245,147963862,261481210,92480425,78443176,65160314,53175673,42726203,33696475,25890475,19230971,13738605 Dl.O(d2) = 45177952,45559384,45559383,56699366,257337542,74651782,82123768,68598572,56123746,45122491,45122490,38562923,29992635,22624416,22624417,29992643,35882020,27600597,27600598,27728125,27662264,27662262,35856126,27582784,20549867,20549863,27582768,27590869,20607358,14865842,14865839,14667681,10234255,10234253,10076600,6618695,6618697,6723849,4216342,4216340,4214362,2519999,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518657,27536015,35782376,35781827,35781823,45362592,56234968,46159282,36342414,36342417,46159271,57408381,55632815,44733807,35313595,27193331,20546523,14739350,10135859,10135860,14739351,20546524,27576685,35846022,45463441,56576888,69126427,82655549,96633827,110721572,124702009,138197737,272797347,163005055,173928730,183651332,192164581,199497015,205702934,210836655,214171808,209752695,204363882,197904280,190324685,181546687,262964409,262013729,134981410,121173180,106906828,92588262,78540801,65250681,53261067,42808007,33775611,25965847,19299705,13798981,13798982,19299709,256164003,33689912,33689911,42720046,256026000,48055899,48055898,59447592,62104284,257079058,88546273,269876638,257155667,256602899,256592784,36544577,28076601,267925206,10330017,10330020,14999621,20904369,28076622,36544607,46406001,57756825,70451936,83979811,257068502,57832538,46476775,36610847,28137081,255175226,46476776,57832539,70534031,84070365,97943256,111879465,125696298,139034805,151737212,163613709,174452201,184103133,192555709,199829592,205978086,263974358,209706112,264078097,190246975,181452966,171434899,160215245,147963862,261481210,92480425,78443176,65160314,53175673,42726203,33696475,25890475,19230971,13738605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9333647, s2 = 9471338, dlinesl.size( ) = 2 s1 = 9333647, s2 = 9471338, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9333647, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13770561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7188604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7188604, s2 = 10631673, int(edited[s2]) = 0 s1 = 7188604, s2 = 10631673, d1 = 70, d2 = 145 Dl.O(d1) = 263781896,183821087 Dl.O(d2) = 21457069,21457070,28712397,22949849,16713098,11671404,7780528,4931165,2974564,1726269,254246963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7188604, s2 = 10631673, dlinesl.size( ) = 78 s1 = 8604273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8604273, s2 = 534146, int(edited[s2]) = 0 s1 = 8604273, s2 = 534146, d1 = 30, d2 = 48 Dl.O(d1) = 151464653 Dl.O(d2) = 13581997,9299859,6092027,6092025,7420365,9299771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8604273, s2 = 534146, dlinesl.size( ) = 2 s1 = 8604273, s2 = 534146, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8604273, Dl.E( ) = 80, 3.7e-05 seconds used appending s1 = 7729098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729098, s2 = 8757299, int(edited[s2]) = 0 s1 = 7729098, s2 = 8757299, d1 = 17, d2 = 25 Dl.O(d1) = 273886453,192359912,192359913,258663284 Dl.O(d2) = 210934893,212869579,272830020,210934892,261641358,216756325,216756326,274295711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7729098, s2 = 8757299, dlinesl.size( ) = 20 s1 = 7029299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7684262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7684262, s2 = 10292639, int(edited[s2]) = 0 s1 = 7684262, s2 = 10292639, d1 = 95, d2 = 157 Dl.O(d1) = 272510711 Dl.O(d2) = 266733785,239464405,266907847,241018249,241462269,267087145,242607070,242934734,267249425,244036793,243790802,243790801,244036785,243790785,243525675,243525674,243790783,243525690,243525691,243790795,244036772,243790807,243525703,243525702,243790774,243525690,243525691,243790795,244036772,243790807,243525703,243240228,242934737,242607074,242607075,242934739,243240229,243525694,243240239,243240240,243525713,243790815,243790767,243525659,243240176,242934694,242607046,242254966,267124277,267075210,241018252,240538624,266957571,240538621,241018245,241018248,241018249,241462269,267087145,242607070,242934734,243240222,243525695,243525705,243525694,243240239,243240240,243525713,267275987,244036796,267300871,244036784,243790778,243525669,243240187,243240186,242934715,242607059,242254973,242254974,242607061,242934719,242607077,242254983,267075212,241462274,241462278,241462279,241874599,242254991,242607088,242934752,243240237,267249429,243525706,243240230,243240229,243525694,243240239,243240240,243525713,267275987,244036796,267300871,244036784,243790778,243525669,243240187,243240186,242934715,242607059,242254973,242254974,242607061,242934719,242607077,242254983,242254984,267159021,242607082,242254985,241874594,241462275,241018254,241018255,241462279,241874599,242254992,242607090,242934748,243240238,267212378,242607089,242607088,242934752,243240237,267275985,243525703,243240228,243240226,274966846,243790791,267300867,243790786,243525679,243525678,243240235,242934742,267191253,267240924,242934720,242607062,242607060,267191251,267181332,242607073,242254986,241874594,241462275,241462276,241874595,242254988,242607084,242934749,243240243,243525697,267212374,242934730,242934726,242934727,267212372,242607037,242607035,242934677,243240168,243525652,243240216,242934728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7684262, s2 = 10292639, dlinesl.size( ) = 16 s1 = 9564334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9564334, s2 = 14635496, int(edited[s2]) = 0 s1 = 9564334, s2 = 14635496, d1 = 117, d2 = 74 Dl.O(d1) = 116003962,125467781,261600621,262123113,174230793 Dl.O(d2) = 261047355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9564334, s2 = 14635496, dlinesl.size( ) = 8 s1 = 6848611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659962, s2 = 4578892, int(edited[s2]) = 0 s1 = 11659962, s2 = 4578892, d1 = 9, d2 = 15 Dl.O(d1) = 271077610,269968543,25000284,25000288,32678002,269344882,3742382,3742380,5984958,9145701,9960453,14467903,9954055,9954056,14464509,9951493,6540398,4097662,4097661,6540395,7856727,4986618,3011984,3011983,4986616,7856723,11767868,13875725,9518930,6243057,254204382,13875722,19353244,19353243,24588914,32175161,256127376,32257619,24657467,24657468,32257621,41051681,51208706,62858720,70411104,57716933,46367475,257390491,70411102,83937393,97796635,261051225,151563415,163446486,273315725,264151323,273969567 Dl.O(d2) = 125527046,111719494,111719495,125527047,261604629,163446500,174294691,183957348,192424269,199714100,264703975,218579760,221468703,223944039,226087243,274504209,229593368,228360692,226532365,224434001,222018118,219204599,215871204,211841184,206908000,200936319,200936317,200936318,264990151,215871202,264759106,222018113,224433996,226532359,265720014,231390267,232666970,233820651,266331856,266514074,266592968,238865567,239468364,240025416,240542106,241021623,241465634,241877803,242258033,241884800,241473112,241029512,240550772,266856118,239480011,238878902,238224516,237505952,266428968,233844266,233844265,233844268,232694112,231421456,230000866,228399033,226575155,265393900,222071916,264995198,215945894,211935211,207026135,201076657,194017273,262724606,261732576,141217908,260608163,99958471,85999833,72403580,59668038,48280280,256409329,22429843,16262686,11306921,7506981,4745339,2859895,1659876,944511,532763,532762,944509,1659873,2859893,4745338,7506977,11306910,16262669,255912283,38368856,48280269,59668024,273533558,141217901,153889713,165666216,176334697,176334696,165666215,165666214,176334694,176334695,185779241,194017259,194017260,185779243,185779242,176334693,176334692,185779244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659962, s2 = 4578892, dlinesl.size( ) = 20 s1 = 4579250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4579250, s2 = 1752624, int(edited[s2]) = 0 s1 = 4579250, s2 = 1752624, d1 = 14, d2 = 25 Dl.O(d1) = 183968957 Dl.O(d2) = 138872575,259252872,258626723,46381431,256275629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4579250, s2 = 1752624, dlinesl.size( ) = 26 s1 = 7733360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9248498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9248498, s2 = 7067784, int(edited[s2]) = 0 s1 = 9248498, s2 = 7067784, d1 = 25, d2 = 27 Dl.O(d1) = 260476383,97844334,83982412,260476381 Dl.O(d2) = 262130675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9248498, s2 = 7067784, dlinesl.size( ) = 36 s1 = 9428754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9428754, s2 = 4967390, int(edited[s2]) = 0 s1 = 9428754, s2 = 4967390, d1 = 10, d2 = 10 Dl.O(d1) = 152360,152423,152418,275899,491612,254159387,2655286,268382404,10652006,12892758,256584135,42254379,256678312,18904274,18904824,24725826,22708974,21685662,15646652,15646650,13467184,9209309,9209313,7649186,4839589,4839586,7649179,11499827,255489615,30089503,30089504,38666760,48582911,59974624,72711607,86308439,100269934,100269933,260629381,141539760,154202424,165961005,176606308,177850788,167353843,155719603,155719604,167353846,167353847,155719605,143165711,129834129,115934537,101888228,87913813,87913814,101888229,88354511,74726210,74726209,61932406,50441684,256549469,12631572,10442083,6883858,254719097,15139976,21077188,28282284,256834193,46663603,46663604,57782698,46427656,256279613,15012489,15012488,15012490,16384094,22563720,28529886,37027902,259911659,126326890,139701857,262163635,175102749,184686880,273726386,187474190,178260152,167817698,156223531,143693237,143693235,130366502,259874758,88429764,88429765,102431263,116528186,261324277,156223534,273174043,187474195,195492140,202349147,208113877,264580770,205908370,211004277,264826382,221484947,218940758,263643628,206488100,200444439,261859188 Dl.O(d2) = 152360,152423,152418,275899,491612,254159387,2655286,268382404,10652006,12892758,256584135,42254379,256678312,18904274,18904824,24725826,22708974,21685662,15646652,15646650,13467184,9209309,9209313,7649186,4839589,4839586,7649179,11499827,255489615,30089503,30089504,38666760,48582911,59974624,72711607,86308439,100269934,100269933,260629381,141539760,154202424,165961005,176606308,177850788,167353843,155719603,155719604,167353846,167353847,155719605,143165711,129834129,115934537,101888228,87913813,87913814,101888229,88354511,74726210,74726209,61932406,50441684,256549469,12631572,10442083,6883858,254719097,15139976,21077188,28282284,256834193,46663603,46663604,57782698,46427656,256279613,15012489,15012488,15012490,16384094,22563720,28529886,37027902,259911659,126326890,139701857,262163635,175102749,184686880,273726386,187474190,178260152,167817698,156223531,143693237,143693235,130366502,259874758,88429764,88429765,102431263,116528186,261324277,156223534,273174043,187474195,195492140,202349147,208113877,264580770,205908370,211004277,264826382,221484947,218940758,263643628,206488100,200444439,261859188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9428754, s2 = 4967390, dlinesl.size( ) = 2 s1 = 9428754, s2 = 4967390, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9428754, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14165888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13674211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7068002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7068459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7068459, s2 = 13182544, int(edited[s2]) = 0 s1 = 7068459, s2 = 13182544, d1 = 52, d2 = 117 Dl.O(d1) = 262138116 Dl.O(d2) = 4555376,4554027,2737849,2737848,1587550,902481,509012,285387,254098845,902478,254230609,1585886,2737025,2741355,2737216,1586004,901602,508552,508551,254162443,2737198,4553175,7225561,4555279,2738664,1586876,1586874,2738653,2740243,4557513,4558605,7232120,7225193,7223607,7223609,7232078,4558558,2741053,2741052,4552832,2736938,2736941,1588704,1588701,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,2736568,4552306,4553263,4553264,7225656,10923859,255143947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7068459, s2 = 13182544, dlinesl.size( ) = 2 s1 = 7068459, s2 = 13182544, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7068459, Dl.E( ) = 134, 4.41e-05 seconds used appending s1 = 9262933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4581398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7068220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7068220, s2 = 7192476, int(edited[s2]) = 0 s1 = 7068220, s2 = 7192476, d1 = 11, d2 = 12 Dl.O(d1) = 262135813 Dl.O(d2) = 263831786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7068220, s2 = 7192476, dlinesl.size( ) = 14 s1 = 13813275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7102211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8606919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6946708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4430052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8669845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8370874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8370874, s2 = 11037481, int(edited[s2]) = 0 s1 = 8370874, s2 = 11037481, d1 = 10, d2 = 6 Dl.O(d1) = 256064010,119424402,133272161,146509934,158876085,170224339,180376881,189305766,184482876,174871426,164054015,152176330,139452359,126081588,112225619,98247364,84340150,70781411,70781409,256052070,74366276,84340143,84340145,70781411,58063831,46691018,36807217,36807216,46691016,58063827,70781405,70781414,70781415,70781401,58063825,46691015,46691016,58063826,70781404,70781408,58063829,58063828,70781406,70781405,70781414,70781415,70781401,70781400,84340145,70781411,58063831,46691018,36807217,36807216,46691016,58063826,70781404,70781408,58063829,46691017,36807217,36807216,46691016,58063826,70781404,70781408,58063829,58063828,70781403,70781404,70781408,58063829,58063828,70781406,70781405,84340148,98247361,98247363,84340150,70781411,58063831,46691018,36807217,36807216,46691016,58063826,70781404,70781408,70781407,84340144,84340145,70781411,58063831,58063830,70781399,84340142,84340146 Dl.O(d2) = 70781405,70781414,70781415,70781401,63991078,52162435,41841219,41841218,52162439,63991080,59455972,48064811,38152002,29585904,22238196,16102913,11185201,7421580,4689894,2825904,1639563,932353,525525,294499,294497,525518,932338,1639500,2825783,4689677,4690109,4690107,7421929,4701923,2832657,1643385,254236913,4701907,7441414,11215107,16143496,22287328,29638994,29506249,268152146,254772025,7442050,11216007,16144502,16144751,11216220,7442199,7442200,11214951,11214950,16143274,16144407,22287911,16144145,16144147,16101718,11184247,11184246,16101713,16102238,255082566,11184794,11184795,16101677,11184216,11184217,16101679,22236796,22287916,16144155,16144154,22286725,16142869,11214634,11214635,16142870,22286728,16144438,11215942,11215941,16144436,22288158,22158497,16037406,11135528,7386098,4666186,2811159,1630850,927418,927416,1630847,2811151,4666171,7386066,7441307,11214932,255082592,11852568,16935056,21223880,21223881,16143387,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1055888,1055887,1850110,3160382,5179630,8083933,12024241,17110733,23380986,30809423,32014702,32014701,40770775,50886732,62486021,75404187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8370874, s2 = 11037481, dlinesl.size( ) = 12 s1 = 8787064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8467372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8607009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7223853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7223853, s2 = 2614606, int(edited[s2]) = 0 s1 = 7223853, s2 = 2614606, d1 = 58, d2 = 7 Dl.O(d1) = 264221732 Dl.O(d2) = 73972238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7223853, s2 = 2614606, dlinesl.size( ) = 16 s1 = 3639106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4588066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4588405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4588405, s2 = 5553631, int(edited[s2]) = 0 s1 = 4588405, s2 = 5553631, d1 = 45, d2 = 23 Dl.O(d1) = 184600040,174998839,164183022,152299751,139569906,126194703,112334112,98350961,84441165 Dl.O(d2) = 215374234,218764778,221627286,224085413,226217200,265839833,228072952,228072953,229701361,228072956,265839833,228072955,226217199,226217200,265839833,228072955,228072954,229701362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4588405, s2 = 5553631, dlinesl.size( ) = 2 s1 = 4588405, s2 = 5553631, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4588405, Dl.E( ) = 50, 3e-05 seconds used appending s1 = 10187150, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4974042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4974042, s2 = 11409918, int(edited[s2]) = 0 s1 = 4974042, s2 = 11409918, d1 = 22, d2 = 10 Dl.O(d1) = 206255380,200182911,192991337,184607959,175007663 Dl.O(d2) = 143005913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4974042, s2 = 11409918, dlinesl.size( ) = 26 s1 = 15054835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054835, s2 = 13550640, int(edited[s2]) = 0 s1 = 15054835, s2 = 13550640, d1 = 45, d2 = 1 Dl.O(d1) = 257772323,270507721,67734654,55395170,44548248,35170553,27082229,20184274,14481451,9963583,9963584,14481452,255750863,27186086,20262698,20262697,27186084,35054174,35054173,35170351,35054715,26972652,20086130,14401218,14401222,16501753,16501754,16501735,16501734,22705740,20086481,20086479,26972700,20086168,14401239,14401238,9905560,6510538,4079886,4079887,6510545,9905575,13415312,18829093,13415296,13415295,18829086,14400976,9905410,9905408,14400966,20085663,20183659,14481057,14481056,20183656,26976954,20088881,20088880,26976949,26972759,26972757,26975818,35058660,35061246,35056441,35056440,44427984,35053229,26971522,26971523,20089612,14403221,9906585,9906570,6511046,6511048,6511013,6511010,9906490,6511081,6511079,9906646,14403323,20089792,20087458,20087457,25195708,18633798,18633795,25195701,26975439,35056021,26973654,20086795,14401591,9905721,9905722,14401597,20086814,14538100,14538097,17007001,20262799,20262797,27186241,35054509,26972486,25646545,19029045,13582692,9300325,6092295,6092294,9300332,9906547,6511034,4080115,4080116,4079954,2441316,2441314,4079943,6510661,9905819,14401798,20086726,26973553,26973561,26973559,26974700,26974701,27185805,32907163,27185648,27185651,27185797,26974919,26974915,27076381,268550845,44541379,44431296,44431295,269088989,35054040,26972166,26972165,35054038,44428771,44428770,35057263,26974648,20087431,14402009,14402008,14402024,14402022,20087573,26974855,35057534,44432100,55276054,44430223,35055569,35055567,40308043,44432088,42402535,42402537,37200328,28677532,21429067,21429066,28677525,24820247,18329193,18329192,24820241,32457313,25646312,19028877,19028875,19028886,19028887,25646332,33413283,35054352,35057808,35057806,35306336,44725772,35306100,27186448,20262942,20262943,27186458,35306116,35305422,27185884,20262547,20262544,26976775,26976774,35055302,35059376,44433731,44433189,35058747,35058749,44433197,42202367,33241398,25491592,25491593,30686766,35163824,35163823,42120238,33163958,25421726,255259757,9172449,6003497,6003498,9172451,13415301,18829098,25421732,26973339,26973203,26973202,35055354,44429947,256994513,30326320,22925208,16690746,11651697,7763611,7763610,11651696,255506335,24595430,32182441,256830728,40960784,40960783,40960789,32181789,32181788,40960786,40960785,257132305,32526560,24882967,18384615,13058639,13058638,254899761,8898405,13058631,18384600,24883007,32256127,24656212,24656213,32256130,41050020,257722841,72450105,63324389,53380009,53380011,65383850,62734185,51103324,40961414,40961415,41224474,43377463,43377464,254352344,254352342,43377420,34278423,34278422,43377417,53901262,65967519,73225242,73225243,79330630,65967552,53901293,43377443,34278436,26403270,19668845,14099171,14099170,19668843,26403266,34278428,43377427,53901270,55307397,58762365,57969687,46593355,46593354,57969685,61421228,49943219,43912770,34639342,26647835,26647836,34639344,43912774,54655454,65967512,65967511,58384707,47013444,47013443,268217830,53901273,43377429,43377428,53901271,65967523,74634293,84867817,77071256,63956736,63956735,71288020,71101519,71101520,74634272,74634273,77071245,77071246,77071258,63956741,52135583,41819786,267827914,13242447,13242446,18626777,25186992,254755402,52135572,53160324,50358150,50358151,52135568,52135567,61842070,74634227,61842037,50358027,50358026,50358134,40331163,40331164,40331218,50358194,50358124,40331155,31642345,31642344,40331051,31642248,31642247,40331049,50358003,57969697,50358133,40331162,40331065,31642258,268687915,24135637,24135638,31642256,257092125,40331066,31642259,31642260,40331068,50358031,61842044,257675321,50358320,60587492,61842010,61842011,269090844,50357970,40331023,255842530,38247498,29682623,29682622,38247495,48156659,50358079,61842006,50358063,50358064,50357992,40331037,31642279,24135653,17771901,17771902,24135655,31642283,34257557,34257526,34257524,42114788,33160393,25419339,25419340,33160395,42114796,33160388,33160387,42114794,52467432,53881872,52467427,52467426,64335062,53881873,257785929,42114835,42114834,52467475,42114863,33160436,33160435,42114862,50478659,61971625,74769067,88258628,86165952,86165953,100131679,88401420,88401419,271420839,143196029,260275168,102402317,88401438,74769059,61971618,61971619,74769061,88401435,74769054,61971612,50478652,256551403,31747436,40441978,50478646,61971601,74769040,88401423,87952873,87952872,87952874,86564801,72966440,60228955,48834223,38913328,38913327,48834221,60228951,72966434,86564791,260047283,128441099,141794759,154442144,141794783,128441114,114556873,106726708,92420878,78383462,78383463,259697109 Dl.O(d2) = 160145220,147895456,134776246,261472327,147895456,134776246,120979340,120979337,134776242,147895452,160145212,147895450,134776241,260708514,92420878,78383462,258249702,40390512,31697767,31697766,40390508,50424586,53224015,42773385,42773381,53224007,65211842,77311637,72342109,59607686,59607685,72342107,71573977,71573978,85144088,86054822,86054820,99363815,85421255,85421256,99363818,86918144,86918143,92420883,78383469,78383470,72456354,255996590,48335418,59720362,72456359,86054832,99002502,99002501,94416693,94416692,92420890,78383486,78383484,92420889,94416742,86994398,73378988,60632826,60632827,73378991,85077176,259456506,77311639,64163623,64163624,270355984,71573982,58847318,258082721,85144090,99068894,87001408,87001409,80363238,80363239,94416753,97759093,85144081,259697356,66937720,54681402,54681401,52312096,41971542,257185441,64163619,66937666,66937668,66937508,54681173,43938659,43938661,42909149,42909150,53375648,65379634,78684253,66937565,54681237,54681238,54681195,54681194,43938872,43938871,47888406,54681470,43938911,43938912,54681472,54681486,43938921,43938920,50491748,50491750,61983653,61198644,49720242,49720241,60335623,48937903,48937902,60335622,59284874,47888453,37970118,37970119,47888456,59284878,70673400,57954361,46577677,46577678,54681491,66937799,70939741,80363118,70673370,57954319,57954320,70673354,57954303,46577633,46577632,57954300,70673349,59284841,59284840,50491775,40455944,40455943,40455951,40455950,46997342,37111821,31761558,31761559,40455930,43901737,54644906,54644901,43901731,34629310,268812897,43938688,54681215,48937906,39014851,30426187,30426188,28201385,21009892,21009893,28201387,36691380,46577691,44454369,44454370,48938415,39015303,39015304,40455911,256456037,30426472,39015265,39015160,30426402,23021364,23021365,26994772,20104024,20104023,26994770,35079506,44454345,55298717,48938356,39015236,30426452,23021389,23021390,30426455,35079488,35079489,30426426,30426424,30426433,23021381,23021380,30426431,39015164,30426405,30426251,23021279,23021282,30426256,30426476,30426477,39015278,48938381,257580567,60335905,48938263,48938264,59548846,52329282,52329283,48938497,39015367,30426547,23021449,16780835,11733154,7833618,4972571,3003419,3003418,4972568,7833612,11733143,16780810,23021398,30426464,39015252,48938259,59451989,59451991,58697247,47307110,47307109,39015285,39015284,48938321,39015202,37494304,28951858,21671873,21671874,28951862,34644328,43917245,46577651,48938399,39015274,39015275,46274675,36954382,28453831,28453830,36954378,46832602,55298686,55298685,60335685,48938002,39014927,39014925,30426528,30426300,23021301,16780756,11733121,7833599,4972564,4972565,7833603,11733133,16780785,23021350,30426381,37518280,37518279,41152685,38148026,29582117,29582116,38148022,48060801,41727511,41727510,39014882,39014883,36422082,36422083,255993113,23543178,31024579,30426313,23021308,16780760,16780761,23021310,30426318,37518282,28974550,21691959,21691958,28974545,23021263,23021264,30426227,39014914,39015047,39015046,48938116,57619116,47788988,47788987,48220641,48220642,51972593,41664693,41664695,51972597,63787822,60335738,48938065,39397046,30794248,23368299,23368300,30794255,31566590,40254051,50275316,40254106,31566628,24061342,17706314,17706315,24061347,31566967,40254498,50275830,53238745,42787458,42787459,46274700,36422075,27963744,27963743,36422072,46274697,40093556,31566642,31566643,40254135,31566886,31566561,29742262,22383174,22383175,21327181,255826447,37051744,40254209,48220740,38310876,38310875,40253966,40253965,31566837,24061247,17706240,17706241,24060976,17706072,12524408,12524406,8486258,5487131,5487133,8486262,255191565,24061021,256033101,17706157,17706158,24061132,28551850,24061030,22383110,16225320,16225319,22383106,24061025,17706097,17706096,24061023,17706242,12524493,12524494,12524454,8486283,5487149,3377936,1988493,1988494,254410121,8486292,12524469,17706190,24061189,22383096,22383097,24061088,29742316,29742195,29742194,29742039,23171184,23171183,24061057,17706114,17706116,24060963,256033073,40253925,50275284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054835, s2 = 13550640, dlinesl.size( ) = 34 s1 = 4435348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13801375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4435896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7137052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7137052, s2 = 11375696, int(edited[s2]) = 0 s1 = 7137052, s2 = 11375696, d1 = 20, d2 = 23 Dl.O(d1) = 263087426 Dl.O(d2) = 269776127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7137052, s2 = 11375696, dlinesl.size( ) = 26 s1 = 4730148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4730148, s2 = 8607606, int(edited[s2]) = 0 s1 = 4730148, s2 = 8607606, d1 = 23, d2 = 57 Dl.O(d1) = 193018459,184640023 Dl.O(d2) = 263848580,187550016,178349731,167924406,156346511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4730148, s2 = 8607606, dlinesl.size( ) = 24 s1 = 11659964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6948862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7122932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7122932, s2 = 11381816, int(edited[s2]) = 0 s1 = 7122932, s2 = 11381816, d1 = 12, d2 = 6 Dl.O(d1) = 262875742 Dl.O(d2) = 176711032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7122932, s2 = 11381816, dlinesl.size( ) = 14 s1 = 9252696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9252696, s2 = 14202477, int(edited[s2]) = 0 s1 = 9252696, s2 = 14202477, d1 = 7, d2 = 0 Dl.O(d1) = 200248835,200248836,193070373,184705335,184705333,175124883,263066716,164326952,152454010,139728461,126352403,126352402 Dl.O(d2) = 126352399,112484682,112484681,126352397,139728451,262165427,175124867,175124866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9252696, s2 = 14202477, dlinesl.size( ) = 2 s1 = 9252696, s2 = 14202477, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9252696, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 7167165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7167165, s2 = 7069967, int(edited[s2]) = 0 s1 = 7167165, s2 = 7069967, d1 = 13, d2 = 10 Dl.O(d1) = 263492085 Dl.O(d2) = 262156822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7167165, s2 = 7069967, dlinesl.size( ) = 2 s1 = 7167165, s2 = 7069967, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7167165, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 10238566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4439093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4269428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4440021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8671395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13387051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4593788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13511319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4594035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8641475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7716905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7716905, s2 = 7708826, int(edited[s2]) = 0 s1 = 7716905, s2 = 7708826, d1 = 74, d2 = 39 Dl.O(d1) = 273555115,262174915,262173006 Dl.O(d2) = 263100035,175236651,273331667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7716905, s2 = 7708826, dlinesl.size( ) = 12 s1 = 4441271, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13754751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9542700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4595332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7685392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7685392, s2 = 4039364, int(edited[s2]) = 0 s1 = 7685392, s2 = 4039364, d1 = 35, d2 = 37 Dl.O(d1) = 272532595 Dl.O(d2) = 149634381,136369684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7997222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4443448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4443448, s2 = 10208096, int(edited[s2]) = 0 s1 = 4443448, s2 = 10208096, d1 = 14, d2 = 17 Dl.O(d1) = 175283635 Dl.O(d2) = 105923794,120135831,129860082,115962770,101918910,101918911,115962771,129860084,143188801,143188802,155741160,272450948,260383090,146759094,133502992,119631211,105395090,91173377,77255086,255732814,268043752,254966980,13293568,13293567,18686812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4443448, s2 = 10208096, dlinesl.size( ) = 2 s1 = 4443448, s2 = 10208096, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4443448, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 8572887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4596756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4596756, s2 = 13552124, int(edited[s2]) = 0 s1 = 4596756, s2 = 13552124, d1 = 3, d2 = 11 Dl.O(d1) = 184846139 Dl.O(d2) = 18665796,18665797,18666020,18666019,25235073,32954934,40128689,255572004,40129362,37978333,29415335,22085007,15978791,15978789,22085001,29415327,29453792,22119675,16006098,16006097,22119634,16006121,16006119,15477048,15477049,11112224,7370012,4655908,2804903,1627161,1627160,2804897,4655902,7370002,11112200,16006151,22119758,23957108,17609866,17609865,23957106,29453808,29453807,38016052,40128819,40128822,32905791,25194409,18632710,18632709,25194404,32905783,38015756,29453530,29453532,38015764,41889903,41889904,37978320,29415322,22084997,22084996,254597620,16006109,22119692,29453829,38016074,47930171,59322314,72056719,72056729,72056697,59322266,47930114,38015994,38015995,47930117,38016054,29453810,29453809,29453821,38016067,31575087,24069503,17713493,12530377,12530378,17713496,24069510,31575099,24069531,17713505,17713503,24069526,31575126,40262254,50156450,40141112,31458678,31458680,40141116,50164876,61632620,74412634,71285204,71285205,84859469,257749774,50283160,50283156,50283155,50283163,57753667,57753668,61762951,74412736,71285197,58553446,58553449,71273452,58541877,58541876,50150284,50150283,61632761,72056680,72056682,85643737,86869182,73256378,60509498,60509495,58553455,47164576,47164578,58553459,71285211,84859476,258268510,74546647,88161599,83976759,83976761,97838797,111764493,98787404,84859440,258061177,58553430,47930070,39175182,30577618,30577619,39175186,49105378,50160799,50160798,58443586,58443587,58443643,47067389,47067390,47067378,47067376,58443633,71165850,84735796,98665202,98665210,86869245,86869246,98787360,88161625,74546685,74546683,85496833,85496834,99438192,86869129,86869133,84859280,84859279,75660736,75660735,89424181,84735846,71165901,71165902,84735736,84735737,73256388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4596756, s2 = 13552124, dlinesl.size( ) = 2 s1 = 4596756, s2 = 13552124, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4596756, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 8699699, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8768561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9550823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659216, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8609459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4445507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4600182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2833891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2833891, s2 = 3279909, int(edited[s2]) = 0 s1 = 2833891, s2 = 3279909, d1 = 25, d2 = 30 Dl.O(d1) = 85012350,85012351,98937862,112927200,126781720,261119685,140132155,140132156,263111049,193300196,264476219,200453843,193300208,184965913,175421483,164663077,164663078,175421484 Dl.O(d2) = 194625473,263008796,177125929,166548795,158198319,145828882,132611297,118794492,104615377,257866378,63515095,76594302,90452228,104615374,118794488,132611293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2833891, s2 = 3279909, dlinesl.size( ) = 32 s1 = 9218254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9218254, s2 = 14544286, int(edited[s2]) = 0 s1 = 9218254, s2 = 14544286, d1 = 19, d2 = 28 Dl.O(d1) = 139683805,137351278,259910582,109424774,259322050,260541924 Dl.O(d2) = 186206496,176813280,176813281,186206497,194396137,194396135,186206495,262758982,186171326,176764713,261771640,194370283,194370282,186171322,273559831,192733136,184314169,184314168,262283754,176764710,166131869,166131870,261771640,194370283,194370282,186171322,273559831,192733136,184314169,184314168,192733134,194396135,263191962,194370283,194370282,186171322,273559831,192733136,184314169,263023636,152005407,152005406,150322701,260492000,109357569,95103424,95103425,101598293,87631329,74027534,61247412,49768550,39749988,31072233,23588756,23588755,23063393,16814735,13205962,9003443,5877857,3669699,3669697,5877935,9004156,13208826,18587370,20207098,20207097,27107536,35197107,44575418,55422762,67762862,71817461,70996543,70996541,84560070,270634664,92727225,78665726,65361714,53358312,42892674,33848209,33848197,26027514,19350684,13839525,9492795,6225557,3897318,3897317,6225555,254946385,268131691,254291399,1237744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9218254, s2 = 14544286, dlinesl.size( ) = 26 s1 = 4561002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9215036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9215036, s2 = 7186738, int(edited[s2]) = 0 s1 = 9215036, s2 = 7186738, d1 = 5, d2 = 48 Dl.O(d1) = 152854919 Dl.O(d2) = 263740367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9215036, s2 = 7186738, dlinesl.size( ) = 8 s1 = 8614660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8670578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7075349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7075349, s2 = 15296328, int(edited[s2]) = 0 s1 = 7075349, s2 = 15296328, d1 = 29, d2 = 20 Dl.O(d1) = 262220808,193332383,200483752,200483759,262700188,263869031,200483756,200483754,200483755,200483761,200483753,200483752,200483759,263533132 Dl.O(d2) = 215593488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7075349, s2 = 15296328, dlinesl.size( ) = 24 s1 = 8555818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8792378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4450953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074285, s2 = 4603667, int(edited[s2]) = 0 s1 = 14074285, s2 = 4603667, d1 = 13, d2 = 8 Dl.O(d1) = 258706641 Dl.O(d2) = 185066554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074285, s2 = 4603667, dlinesl.size( ) = 2 s1 = 14074285, s2 = 4603667, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14074285, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8610723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4452042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4452042, s2 = 14125918, int(edited[s2]) = 0 s1 = 4452042, s2 = 14125918, d1 = 11, d2 = 8 Dl.O(d1) = 175617376,263874775,206622528 Dl.O(d2) = 224286042,225856123,223682532,264515084,214758558,210522047,205337376,199074677,191671459,183062474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4452042, s2 = 14125918, dlinesl.size( ) = 14 s1 = 8866014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8866014, s2 = 14251927, int(edited[s2]) = 0 s1 = 8866014, s2 = 14251927, d1 = 2, d2 = 1 Dl.O(d1) = 264838967,220075660,222777164,225100754,265770415,227080373,225056300,265907595,265614176,220013957,265261550,211592759,206623226 Dl.O(d2) = 153024107,140325239,126970039,113111299,113111297,99120992,259678603,77955893,257808397,268036078,1326536,757192,430375,242955,134313,73018,73024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8866014, s2 = 14251927, dlinesl.size( ) = 2 s1 = 8866014, s2 = 14251927, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8866014, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 7073869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4453721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10247805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4606015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4100170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4100170, s2 = 7690158, int(edited[s2]) = 0 s1 = 4100170, s2 = 7690158, d1 = 68, d2 = 185 Dl.O(d1) = 153224631,165043054,175774740 Dl.O(d2) = 258999697,272689878,263245179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4100170, s2 = 7690158, dlinesl.size( ) = 28 s1 = 4455015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4455015, s2 = 9282411, int(edited[s2]) = 0 s1 = 4455015, s2 = 9282411, d1 = 0, d2 = 39 Dl.O(d1) = 175787881 Dl.O(d2) = 228269081,226433159,224324723,224324724,274463395,265379191,219065526,215714468,215714467,219065524,221895619,274406961,228269090,265856327,228269082,229880818,229880830,230387282,265444210,225033898,264830238,219980949,222699458,225033900,224324729,221895623,219065527,215714468,215714469,219065528,221895626,221895631,219065531,265378578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13802367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4746191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4455679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8295773, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7161751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7161751, s2 = 7064055, int(edited[s2]) = 0 s1 = 7161751, s2 = 7064055, d1 = 6, d2 = 10 Dl.O(d1) = 263426212 Dl.O(d2) = 262073444,259139836,60497997,49094449,39164440,30566713 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9674521, s2 = 14165733, int(edited[s2]) = 0 s1 = 9674521, s2 = 14165733, d1 = 10, d2 = 10 Dl.O(d1) = 27052043,20158843,14461748,9949605,6539184,6539185,6539187,6539186,9949606,14461750,20158846,14462848,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,9953066,9959135,6545458,4100684,4100685,6545463,9957378,9952301,9952302,9948947,9948948,9948909,9948907,7173760,4518804,4518806,7173767,9951457,9951458,14460111,14460109,9948503,9948502,6538789,6538788,6539505,4097128,2451057,2451058,2457714,2452663,1417928,1417929,806669,457109,257695,257694,457117,806685,1418001,2452818,4100388,254228915,894830,504814,504815,894838,1573744,2715966,4518784,7173724,7173624,7173623,10850981,14465974,9952687,6541156,4098132,4098131,6541153,9952681,9953009,9953008,14466455,15674151,14465698,9952421,9952422,9951165,6540143,4097520,4097519,6540136,7857003,11768271,16828807,11768587,7857205,7857206,4987666,4987667,7857268,7856330,7856332,6541191,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,10851588,14475990,9960183,9960182,10851096,15674330,21718276,29004141,37549953,47457840,55363638,257914997,81169033,95225387,109479331,105889420,91682549,91682550,105889422,260878943,120100837,120100836,259760698,102602896,102602897,116701638,112118383,98159197,84265533,84265532,258020671,46622060,36733896,28239108,21040585,21040584,28239106,28239107,36733894,36733895,41556713,39247347,30651606,30651607,39247349,49172502,49172499,49172500,60571402,73314234,86923973,100904074,260667305,142214542,140697454,127341602,127341601,140697451,140697450,153378980,262694697,175893050,185384786,185384787,193667828,193667825,185384784,175893043,175893044,185384785,193667826,200769094,203844313,197285980,189597641,180699993,170568675,159231066,159231067,170568678,170568674,159231065,146857753,133600295,119726093,105486928,91264437,77344517,64197242,52347100,52347101,256903494,255432408,33087562,25354933,18772820,13368789,9136782,9136783,10598312,15343605,21314077,15354274,15354275,18758583,13638833,9339534,6117506,6117507,254757570,10603503,15345879,15345880,10603575,10603411,10603412,15349202,255256168,28540791,21317204,18090319,18090320,19822465,19186223,13702116,13702117,10602627,6995444,4396305,4396304,6995441,4396655,2634639,1521427,1521425,2444249,1413277,1413279,2443535,4084082,6518162,9918068,6569339,6569338,8744061,9920798,6520295,6520293,9920789,14422336,20111125,21431033,15437579,14528841,9997248,6570361,6570360,268050161,15346274,13702092,9384597,9384599,10619310,7008136,4405454,4405453,7008133,10619307,12776580,8684824,267851475,2089491,1201688,1201689,254210134,5651640,4914163,4914164,7759133,7758995,7758850,5765793,5765795,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246451,3732890,3732891,5968970,9122003,13349769,268265757,13354584,9126490,5972259,5382396,3309811,1947169,1467388,1458739,830217,830215,1111907,1111906,826054,623982,623983,1111899,1946351,2554041,2554042,1471426,832285,469364,466488,262527,145495,80052,43879,43880,80058,145503,262543,466517,826265,1459608,1698295,1698296,2532130,4235167,6758518,10282831,6851276,6851278,10045444,7576244,4791826,4791825,7576241,6760886,4236841,2533142,2533143,4236843,2533207,1459770,1459773,2533184,4236899,6760978,10285685,6819294,4852281,4852280,6747262,6747259,6821639,6777814,6777812,8599993,5588247,3466904,2055762,2055763,3466907,2758630,254260553,1859410,1860764,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477417,2565768,4291479,6839599,7083803,6793616,6786526,4254433,2543364,2543365,4254438,5584346,3464654,3464653,5584343,254875497,17875400,24252966,256552775,47006455,37120269,31764778,31764777,40459235,50495156,61987124,52347099,52347097,52347098,269983275,91264433,105486920,119726082,133600286,146857742,146857741 Dl.O(d2) = 27052043,20158843,14461748,9949605,6539184,6539185,6539187,6539186,9949606,14461750,20158846,14462848,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,9953066,9959135,6545458,4100684,4100685,6545463,9957378,9952301,9952302,9948947,9948948,9948909,9948907,7173760,4518804,4518806,7173767,9951457,9951458,14460111,14460109,9948503,9948502,6538789,6538788,6539505,4097128,2451057,2451058,2457714,2452663,1417928,1417929,806669,457109,257695,257694,457117,806685,1418001,2452818,4100388,254228915,894830,504814,504815,894838,1573744,2715966,4518784,7173724,7173624,7173623,10850981,14465974,9952687,6541156,4098132,4098131,6541153,9952681,9953009,9953008,14466455,15674151,14465698,9952421,9952422,9951165,6540143,4097520,4097519,6540136,7857003,11768271,16828807,11768587,7857205,7857206,4987666,4987667,7857268,7856330,7856332,6541191,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,10851588,14475990,9960183,9960182,10851096,15674330,21718276,29004141,37549953,47457840,55363638,257914997,81169033,95225387,109479331,105889420,91682549,91682550,105889422,260878943,120100837,120100836,259760698,102602896,102602897,116701638,112118383,98159197,84265533,84265532,258020671,46622060,36733896,28239108,21040585,21040584,28239106,28239107,36733894,36733895,41556713,39247347,30651606,30651607,39247349,49172502,49172499,49172500,60571402,73314234,86923973,100904074,260667305,142214542,140697454,127341602,127341601,140697451,140697450,153378980,262694697,175893050,185384786,185384787,193667828,193667825,185384784,175893043,175893044,185384785,193667826,200769094,203844313,197285980,189597641,180699993,170568675,159231066,159231067,170568678,170568674,159231065,146857753,133600295,119726093,105486928,91264437,77344517,64197242,52347100,52347101,256903494,255432408,33087562,25354933,18772820,13368789,9136782,9136783,10598312,15343605,21314077,15354274,15354275,18758583,13638833,9339534,6117506,6117507,254757570,10603503,15345879,15345880,10603575,10603411,10603412,15349202,255256168,28540791,21317204,18090319,18090320,19822465,19186223,13702116,13702117,10602627,6995444,4396305,4396304,6995441,4396655,2634639,1521427,1521425,2444249,1413277,1413279,2443535,4084082,6518162,9918068,6569339,6569338,8744061,9920798,6520295,6520293,9920789,14422336,20111125,21431033,15437579,14528841,9997248,6570361,6570360,268050161,15346274,13702092,9384597,9384599,10619310,7008136,4405454,4405453,7008133,10619307,12776580,8684824,267851475,2089491,1201688,1201689,254210134,5651640,4914163,4914164,7759133,7758995,7758850,5765793,5765795,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246451,3732890,3732891,5968970,9122003,13349769,268265757,13354584,9126490,5972259,5382396,3309811,1947169,1467388,1458739,830217,830215,1111907,1111906,826054,623982,623983,1111899,1946351,2554041,2554042,1471426,832285,469364,466488,262527,145495,80052,43879,43880,80058,145503,262543,466517,826265,1459608,1698295,1698296,2532130,4235167,6758518,10282831,6851276,6851278,10045444,7576244,4791826,4791825,7576241,6760886,4236841,2533142,2533143,4236843,2533207,1459770,1459773,2533184,4236899,6760978,10285685,6819294,4852281,4852280,6747262,6747259,6821639,6777814,6777812,8599993,5588247,3466904,2055762,2055763,3466907,2758630,254260553,1859410,1860764,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477417,2565768,4291479,6839599,7083803,6793616,6786526,4254433,2543364,2543365,4254438,5584346,3464654,3464653,5584343,254875497,17875400,24252966,256552775,47006455,37120269,31764778,31764777,40459235,50495156,61987124,52347099,52347097,52347098,269983275,91264433,105486920,119726082,133600286,146857742,146857741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9674521, s2 = 14165733, dlinesl.size( ) = 2 s1 = 9674521, s2 = 14165733, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9674521, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 4457975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4458662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4611027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4611027, s2 = 12508271, int(edited[s2]) = 0 s1 = 4611027, s2 = 12508271, d1 = 25, d2 = 39 Dl.O(d1) = 185426840 Dl.O(d2) = 100427823,114452441,128329546,141679344,154331879,166081529,176718483,186130405,194332566,192069191,183525064,183525058,262044644,183525062,192069178,183525049,183525048,192069177,199421309,194332565,194332566,192069191,183525064,173754679,162753301,162753299,173754677,173754670,162753293,162753294,173754672,183525057,192069183,192069182,183525053,173754668,162753292,162753291,173754666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4611027, s2 = 12508271, dlinesl.size( ) = 2 s1 = 4611027, s2 = 12508271, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4611027, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 9714289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10253126, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11660112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8496631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4613585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9253909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9253909, s2 = 7075896, int(edited[s2]) = 0 s1 = 9253909, s2 = 7075896, d1 = 7, d2 = 1 Dl.O(d1) = 156025807,167634642,263256219,195374071 Dl.O(d2) = 262226735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9253909, s2 = 7075896, dlinesl.size( ) = 2 s1 = 9253909, s2 = 7075896, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9253909, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 13720039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8727664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10217867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8708290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7198496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7198496, s2 = 7030232, int(edited[s2]) = 0 s1 = 7198496, s2 = 7030232, d1 = 6, d2 = 8 Dl.O(d1) = 263898002 Dl.O(d2) = 261611114,259877488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7198496, s2 = 7030232, dlinesl.size( ) = 14 s1 = 4616170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9247072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6810133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8141360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8141360, s2 = 11592882, int(edited[s2]) = 0 s1 = 8141360, s2 = 11592882, d1 = 80, d2 = 91 Dl.O(d1) = 254484797,1469619,1469622,2551232,4259497,2546427,1466996,830005,468286,263383,263385,468292,830014,1467015,1466971,1466972,2546387,4242733,2536718,1461758,827401,467053,467051,827395,1461750,1468003,2548346,4249244,2540369,2540367,4249241,6770136,4300014,2570849,1480081,1480079,2570842,3718687,3718685,4249288,6237650,6237653,9510176,10297968,10297966,8326022,5373428,4261560,2547742,1467697,830353,830352,1467693,2547730,4261542,6796373,4265162,4265163,6801246,254875885,8584118,5577907,5577908,8584122,9099714,9099713,10361929,15028196,10355967,10355968,9085388,5942779,3716057,3716058,5942781,254912179,6822004,6822003,9073841,5933862,5933863,6853438,6829165,4284430,2561528,2561529,4284433,6829170,10325567,14994683,10379853,10356920,6820932,4278839,4278838,6820928,10356912,8595185,8595186,10354061,10268424,6747715,6747716,10268426,6785828,4253993,2543112,2543111,4253990,267821583,2543105,4035801,2418469,1399957,796834,796831,1399910,2418362,4035573,6432940,5210911,5210912,8133379,255900607,38209577,269809795,262234159,176141968 Dl.O(d2) = 267154549,241825447,274875795 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6999761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13683771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9173614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8613957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8613957, s2 = 8548786, int(edited[s2]) = 0 s1 = 8613957, s2 = 8548786, d1 = 10, d2 = 2 Dl.O(d1) = 141044658,153711918,165490944,176169769,185630804 Dl.O(d2) = 130241735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8613957, s2 = 8548786, dlinesl.size( ) = 2 s1 = 8613957, s2 = 8548786, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8613957, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 13262235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9669978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9669978, s2 = 15503033, int(edited[s2]) = 0 s1 = 9669978, s2 = 15503033, d1 = 6, d2 = 5 Dl.O(d1) = 37785173,29223312,29223315,256907457,29223343,21907776,15826527,15826528,21907779,15826533,10967645,10967646,15826537,21907793,29223366,35100517,27013664,27013663,20819430,20819431,21907875,21907856,15826575,10967663,10967664,15826578,21907859,29223444,29223359,29223360,29223416,30068530,29223421,29223420,37785291,44477583,35100552,27013701,21907846,21907847,29223435,34089169,34089168,27983741,20819382,14922051,10260960,10260962,14922055,14922069,14922068,20819406,27983762,36442825,39959832,39959831,39959910,39959914,31285015,31285014,36442747,31285174,23798880,23798881,25333092,256633813,49976621,39960126,39960127,49976624,61454491,49976620,46880386,46880389,39959805,39959804,49976406,268301204,29453179,22119269,16005830,16005833,22119275,19125321,19125322,254449744,25764921,33554491,42571508,255273932,49761000,39742310,39742309,38079016,29514350,22172742,22172743,29514352,31512355,40198187,38007041,29444069,29444070,38007042,47922456,40141383,31458991,31458992,40141386,50165075,50165080,40141389,31458994,31458993,40141387,50165076,42156963,33197375,33197376,42156965,38007073,38007072,47922494,59315764,72050688,72103196,74020722,61240088,61240087,61701922,61701901,50220179,40198183,40198182,50220175,61701898,61701920,50220198,50165095,50165094,47980293,269336553,61701892,61701889,50220203,40198207,40198206,50220201,61649575,50165161,40141470,40141313,31458919,23963874,17614296,17614297,23963878,21303983,21303980,28525846,37023789,46780468,46780469,58147976,46901644,37023920,35221437,34600825,34600826,43871050,54613507,54613511,46901526,37023775,28525832,25848255,19193306,13707842,255284031,25848249,21926328,255265704,37811209,40141336,37023919,28526042,28526041,37023989,46901660,46780476,46780475,36902664,28405290,28405289,33652631,255802506,37023974,28526029,28526030,37023976,46901630,37023904,28526031,255012604,40141278,31459029,28526020,28526019,33351578,33351579,42333098,43871122,255414550,49727985,49727984,53134131,58088675,46716991,36834335,28337557,21125271,19805342,14186427,9752295,254963117,19805318,19805319,26613663,34600959,43871153,54613467,43870990,34600986,26613683,19805333,14186422,9752292,6412274,6412271,9752286,14186411,19805311,26613654,34600951,43871145,39115030,39115029,38078757,38078758,47991521,48141087,39909042,39909041,255632782,47989338,38076499,38043002,29479773,22142306,16024581,11126290,7379900,7379899,11126288,16024578,22142299,29479761,30093209,255601592,16507599,16507601,11503273,11143236,7391207,4669579,4669581,7391217,10340737,6807512,4269569,4269568,6091183,6091182,9298389,12656770,17872958,24250253,31762091,38727199,32560809,24909522,18404721,13072817,8908244,254634653,3626318,2165716,1253391,712821,712822,1253394,2165723,3626325,5813282,8908261,8908504,8908258,8908259,13072838,15193412,10479646,10479647,15193415,21146308,28361919,28361999,25330709,18750808,18750807,21146314,21146457,21146456,28362146,36860414,39773438,46741903,46741904,55719770,49150113,39223534,30625807,23203441,16933424,11851418,7920991,7920924,5035844,3049077,3049075,5035850,7920942,11851312,16933269,23203236,30625669,30625720,23203315,23203316,21829544,15761406,15761408,17111098,12024512,8084140,5179748,3160440,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832843,4702302,7442113,11216092,16144607,254352566,38206392,268084606,29675837,38240642,48149775,59536536,72270497,85862243,99815713,113831008,127700571,141050436,153717222,165495712,176174058,263148832,200963768,203873586,197319307,263342809,170611838,159277706,146907963,260864253,105551974,91334136,269985427,52410229,42066409,33117492,25382098,18797206,13390261,9154077,5990945,5990946,7216516,10911532,11286323,16234370,22339754,16191706,16191705,15971214,15971213,22077037,29407769,37971678,41314610,32469317,24829896,18336603,18336602,24829891,31496012,40180707,50203735,47889983,37971667,37971666,47889979,50203740,52410160,52410159,61816178,50332673,40306564,31618219,31618218,33117449,33117448,36971372,28473183,28473184,36971376,37691092,29128981,29128982,29830808,22463394,16295180,11337546,11337547,15755547,15755546,21822154,29129022,255863871,21822120,29128969,29407765,37971674,41314620,32469326,268246632,13016537,13016535,18336606,24829901,32469322,41314617,41314671,37971670,37971671,31496022,23998626,17654393,12483338,12483339,17654395,23998629,31496025,40180720,50203745,41314651,41314652,47919042,38003254,29440220,29440219,38003249,47919037,48313743,38402956,29830802,22463389,16295176,16295177,21822149,21822150,29129016,37691132,47616164,50203773,257614804,50203763,257664431,51535426,51535427,63252112,73559111,87176793,101173791,115250371,115850236,129749791,116127341,116127342,130037323,118374739,118374737 Dl.O(d2) = 101803859,98889167,98889166,112876924,113402056,113402055,127260318,127523034,113651801,113651802,127523038,133806714,119938703,105703236,105703237,119938706,113402058,99401213,99401214,113402063,113402048,99401209,99401208,113402046,118374755,104215498,90083502,76271385,76271384,90083497,104215493,118374750,132191438,131828434,118000546,118000544,260870432,152768502,140606007,260584872,260567379,113786943,99773695,85820874,72228511,71419387,71389018,64420731,52546760,42187974,42187975,52546762,48104648,38193188,29626408,29626409,38193195,48104657,59492946,58654049,47262305,37352710,28813885,21545748,21545749,28813890,29505217,22165392,16042980,16042982,22165396,29505222,38068596,47980797,59371054,53145765,52546780,42187989,33227672,25479214,25479213,33227666,42187980,37386070,28845923,28845922,37386067,47295269,48132414,59519688,72253672,85845191,85845204,85845205,99797933,99773699,85820883,72228517,59492958,59492957,258407084,59371027,47980780,47980781,59371030,256398292,39451109,49379242,60780447,73528339,87147213,73528349,60780462,60780463,64420743,64420736,64420734,64420739,59519743,48132459,38222366,29656412,22304695,22304694,29656410,38222362,48132450,59519722,72253705,85015938,71443100,257201504,58686027,47295256,37386062,37386061,29626400,22274922,16132533,16132534,22274925,22274941,22274942,29626436,34618372,43889911,54632854,47262287,37352691,28813878,28813879,37352693,47262290,47322637,58711695,256646050,64420386,52546338,42187618,42187620,52546348,64420402,64420424,52546363,52546362,64420420,66890319,54632807,43889881,43889882,54632811,58711942,52546605,42187848,42187849,52546597,42187837,33227550,25479128,25479129,33227554,42187841,52546457,52546459,43889900,43889898,54632840,66890357,80318759,66890383,66890384,71442669,85015646,77589197,64420532,52546492,42187735,33227481,25479086,25479085,33227475,42187733,52546482,58711193,52546375,42187632,33227405,33227404,42187630,52546369,64420433,64420445,52546387,52546386,58711259,47322180,37413594,37413593,47322068,258695735,58711173,47322090,37413514,255847285,15569394,15569393,21596753,28872037,37413503,47322075,58711156,47322522,47322523,58711584,47322916,47322915,58711935,71443232,71442998,58711573,47322500,37413877,28872332,21596963,15569515,10769159,10769160,15569517,15569446,10769119,255044001,10769095,7115325,4479950,2691676,254160599,886515,1559314,2691680,4479952,254740207,255414299,28872122,21596798,15569413,10769097,7115326,4479951,2691684,1559316,886516,500198,280514,280516,500202,886528,1559339,2691704,4479987,7115388,10769134,10769133,15569485,21596929,256339421,37413805,37414319,28872682,21597250,255847315,28872684,28872686,37413671,28872175,21596839,21596840,28872177,37377808,256415770,28837517,256878445,58678583,71412497,71442933,58711498,47322429,47322430,258071741,58711974,258695755,258147458,47287425,37377798,28837513,28837514,37377801,47287427,47322254,256339417,21596829,15569423,10769104,10769105,15569427,21596838,256339419,37377804,37377805,47287431,58678580,71412496,84986501,98912055,84986490,71412481,71412482,71442931,58711495,58711494,58711552,47322470,47322468,37413940,28872373,21597004,15569536,10769177,10769178,15569540,21597009,28872376,37413943,47322587,58711517,58711516,58711624,71442797,85015767,71442820,58711354,47322269,37413669,37413670,37413647,28872158,21596825,21596824,21596834,28872172,37413663,37414242,37414241,47322912,58711925,71412491,58678576,58678578,71412494,71443105,71442837,71442838,71412477,58678566,58678565,71412474,71442921,71442922,71442979,71442977,58711632,58711627,71443043,85015892,85015908,71443055,58711638,47322576,37413932,37413930,47322573,58711358,58711357,71442825,85015785,98941406,112930890,112930987,98941485,85015749,71442774,71442775,71442767,58711311,47322224,47322225,58711316,58711301,58711302,71442754,85015710,98941432,98941488,98941471,85015741,85015740,98941468,270816678,152831068,261120046,126785700,126785670,112930999,98941505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9669978, s2 = 15503033, dlinesl.size( ) = 2 s1 = 9669978, s2 = 15503033, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9669978, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 9542378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9763260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7077007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4467472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13737577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13737577, s2 = 4824335, int(edited[s2]) = 0 s1 = 13737577, s2 = 4824335, d1 = 0, d2 = 0 Dl.O(d1) = 77881853,91804479,105999582,91804492,77881865,77881862,77881861,91804487,105999587,120200647,120200653,134033909,127635871,113767333,99753010,99753011,105999586,105999585,119239178,119239179,119239182,105046733,105046732,105999579,91804476,91804477,105046723,105046724,119239176,116111010,102053275,102053276,105046729,90867960,76989811,76989812,90867961,76989815,63879322,52061051,41747163,32826548,25122440,18570822,13196732,13196731,18570821,13197287,13197288,18570789,25122408,27848451,25125726,25125727,32830504,32826971,25122769,25122768,32826579,32826897,32826898,41747211,41747210,32826743,32826744,41747360,41752656,32831525,32831526,41748383,32827800,25123518,25123517,32826800,25122631,25122630,32826798,32827218,25122974,18571239,18571155,18571154,18573791,18573792,13198822,8997545,5874218,5874219,8997549,13196882,8996303,5873457,5873458,8996305,13196889,18571074,25122749,32826956,41747565,41747139,41747140,41747258,32826644,25122518,25122519,32826649,41747197,32826591,25122477,25122478,32826592,41747199,41747425,41121265,32826996,25122785,18571097,13196903,13196902,18571093,25122780,25122511,18570884,18570883,25122508,32826627,41747242,52061113,42859875,256165845,19328894,268310071,33818557,42859871,52061098,52061097,53322257,53322263,42859883,42859885,53322265,52064772,41750809,32830029,32830027,41750805,42859867,42859300,33818377,33818378,42859712,42861113,53322236,42859831,33818516,26001374,26001375,33817732,33817733,33819696,42860850,42859168,42859156,42859157,42860588,33819358,33819339,33819338,42860569,53322724,53322753,42860617,42860609,42860608,42859091,33817607,26000501,19328164,19328165,26000503,25112438,25112436,255835988,51338894,41153735,41153736,41153738,32338558,24722404,18249273,17954022,17954021,24345217,27192297,20267943,14542032,14542031,10649942,7031999,7032000,10649943,12734221,8653207,5628347,3497220,2078091,1194375,672173,254140963,2078094,3497225,5628351,5628352,8653213,12734230,17969280,254881183,8653216,12734232,17969283,24364945,31892968,40601830,50651780,54642346,54642347,43899242,43899243,54642345,66899770,80327266,80327267,94382386,108669519,122933838,122933840,122933841,262068443,162117190,173216906,183067530,183067526,183067527,263648866,199078721,205340753,199078720,199078717,191676051,183067523,183067524,191676053,199078715,205340750,210524797,264580676,221175847,223684135,222346196,221175851,221175850,219577564,216299639,212345507,207505700,201633948,194656745,186509901,186509900,186509902,263208143,177162319,262302307,154889835,165591524,165591518,153809724,153809723,141136046,127778914,113904097,113904092,99885531,99885532,113904094,127778913,261727725,165591521,176267999,185720049,193963302,201025837,206980767,201960148,262567560,186957798,195042680,201960149,207778905,212575959,216496592,219748746,216496594,214118137,209686130,204284458,197810201,263617308,171390785,160171896,147923593,134804796,134804795,134804797,121008152,106755323,92450342,78414522,78414521,65132814,269528291,42697212,256157607,19202883,13715124,267935521,3850801,3850800,6154484,9394239,10661707,10661708,10638045,7022700,7022701,10638048,15392831,14442354,12503701,12503702,13697962,12986016,12986015,18295117,13698133,9381551,6146083,3845910,3845911,2304501,1337313,1337312,2139649,254291029,254631509,12987147,13116647,13116648,12711513,12711516,17939426,13356953,9128320,5973581,3735672,3735671,5973577,8713763,12816071,18077420 Dl.O(d2) = 77881853,91804479,105999582,91804492,77881865,77881862,77881861,91804487,105999587,120200647,120200653,134033909,127635871,113767333,99753010,99753011,105999586,105999585,119239178,119239179,119239182,105046733,105046732,105999579,91804476,91804477,105046723,105046724,119239176,116111010,102053275,102053276,105046729,90867960,76989811,76989812,90867961,76989815,63879322,52061051,41747163,32826548,25122440,18570822,13196732,13196731,18570821,13197287,13197288,18570789,25122408,27848451,25125726,25125727,32830504,32826971,25122769,25122768,32826579,32826897,32826898,41747211,41747210,32826743,32826744,41747360,41752656,32831525,32831526,41748383,32827800,25123518,25123517,32826800,25122631,25122630,32826798,32827218,25122974,18571239,18571155,18571154,18573791,18573792,13198822,8997545,5874218,5874219,8997549,13196882,8996303,5873457,5873458,8996305,13196889,18571074,25122749,32826956,41747565,41747139,41747140,41747258,32826644,25122518,25122519,32826649,41747197,32826591,25122477,25122478,32826592,41747199,41747425,41121265,32826996,25122785,18571097,13196903,13196902,18571093,25122780,25122511,18570884,18570883,25122508,32826627,41747242,52061113,42859875,256165845,19328894,268310071,33818557,42859871,52061098,52061097,53322257,53322263,42859883,42859885,53322265,52064772,41750809,32830029,32830027,41750805,42859867,42859300,33818377,33818378,42859712,42861113,53322236,42859831,33818516,26001374,26001375,33817732,33817733,33819696,42860850,42859168,42859156,42859157,42860588,33819358,33819339,33819338,42860569,53322724,53322753,42860617,42860609,42860608,42859091,33817607,26000501,19328164,19328165,26000503,25112438,25112436,255835988,51338894,41153735,41153736,41153738,32338558,24722404,18249273,17954022,17954021,24345217,27192297,20267943,14542032,14542031,10649942,7031999,7032000,10649943,12734221,8653207,5628347,3497220,2078091,1194375,672173,254140963,2078094,3497225,5628351,5628352,8653213,12734230,17969280,254881183,8653216,12734232,17969283,24364945,31892968,40601830,50651780,54642346,54642347,43899242,43899243,54642345,66899770,80327266,80327267,94382386,108669519,122933838,122933840,122933841,262068443,162117190,173216906,183067530,183067526,183067527,263648866,199078721,205340753,199078720,199078717,191676051,183067523,183067524,191676053,199078715,205340750,210524797,264580676,221175847,223684135,222346196,221175851,221175850,219577564,216299639,212345507,207505700,201633948,194656745,186509901,186509900,186509902,263208143,177162319,262302307,154889835,165591524,165591518,153809724,153809723,141136046,127778914,113904097,113904092,99885531,99885532,113904094,127778913,261727725,165591521,176267999,185720049,193963302,201025837,206980767,201960148,262567560,186957798,195042680,201960149,207778905,212575959,216496592,219748746,216496594,214118137,209686130,204284458,197810201,263617308,171390785,160171896,147923593,134804796,134804795,134804797,121008152,106755323,92450342,78414522,78414521,65132814,269528291,42697212,256157607,19202883,13715124,267935521,3850801,3850800,6154484,9394239,10661707,10661708,10638045,7022700,7022701,10638048,15392831,14442354,12503701,12503702,13697962,12986016,12986015,18295117,13698133,9381551,6146083,3845910,3845911,2304501,1337313,1337312,2139649,254291029,254631509,12987147,13116647,13116648,12711513,12711516,17939426,13356953,9128320,5973581,3735672,3735671,5973577,8713763,12816071,18077420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13737577, s2 = 4824335, dlinesl.size( ) = 2 s1 = 13737577, s2 = 4824335, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13737577, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13750569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13750569, s2 = 10775275, int(edited[s2]) = 0 s1 = 13750569, s2 = 10775275, d1 = 44, d2 = 68 Dl.O(d1) = 262989591,185785466 Dl.O(d2) = 38740976,30158463,22770349,16556295,11540050,11540049,268233375,25090595,18545042,18545041,25090593,32788301,29248806,29248805,37813616,47735856,41030075,32237600,24639759,18183778,12896181,8771748,7210423,7210424,10902413,15741963,17931710,12705626,12705625,15744541,15744540,10904330,10904332,15744405,15744406,20964216,15054482,10380272,10380271,15054479,20964214,28142548,25306528,18730943,13334295,13334296,18730949,25306534,33033112,26130120,19435109,13906677,13906675,19435104,26130114,256692129,30268284,22871372,16643320,254950957,7733723,4896214,4896215,254799891,11275150,7484583,4897422,254548753,7731057,4906303,4906301,4865449,4465083,2682566,1553974,883555,883557,967176,1701336,1698942,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789386,4630250,7329651,7740897,4901457,4901454,7740886,11622514,11557296,7690855,4866902,2932700,2932702,267895459,7605419,7605421,11437765,7612224,4815983,2902259,1683654,957359,539487,302320,167371,167372,302326,539489,957367,1683672,2902295,4816032,7600223,4808017,4808018,7600227,7599801,4807754,2897574,1681304,1681305,2897578,4807757,7599808,7595864,4804771,4804770,7595858,11426785,10416346,6866601,6866602,10416348,11437510,16421398,11629775,11629493,7746832,4905699,4905695,7746814,11629466,254748930,16436835,18105340,18105341,24538934,32116371,40890166,51027570,62653646,62653643,51027566,51027565,62653641,75595926,75595931,75595927,75595926,62653647,51027571,51027570,62653646,62653643,51027566,40890163,32116370,32116371,40890167,256355896,62653642,51027566,40890163,40890164,51027567,62653639,75595925,75595929,257477316,103452367,259336598,144606207,157004351,149987019,136853376,123022446,108753357,94460095,80400540,66970137,54710965,43967123,34691869,26697197,19876735,14241276,14241277,19876737,25612184,25612185,33377268,26683960,255463346,17948887,12718863,255207711,24339124,31861253,38578844,255926175,16449014,16449016,22637336,30007673,26697195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13750569, s2 = 10775275, dlinesl.size( ) = 2 s1 = 13750569, s2 = 10775275, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13750569, Dl.E( ) = 70, 2.72e-05 seconds used appending s1 = 13859483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8698953, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7077723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14693243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14693243, s2 = 4470860, int(edited[s2]) = 0 s1 = 14693243, s2 = 4470860, d1 = 13, d2 = 10 Dl.O(d1) = 147848905,160102691,171328856,181357337 Dl.O(d2) = 176378333,165714712,153940988,259945758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14693243, s2 = 4470860, dlinesl.size( ) = 2 s1 = 14693243, s2 = 4470860, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14693243, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10248252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9477797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4622910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7722439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8704463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8647690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8647690, s2 = 8133670, int(edited[s2]) = 0 s1 = 8647690, s2 = 8133670, d1 = 40, d2 = 39 Dl.O(d1) = 263977492,263168336 Dl.O(d2) = 72537020,86136339,256740950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8647690, s2 = 8133670, dlinesl.size( ) = 30 s1 = 4472673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4472892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238723, s2 = 8133742, int(edited[s2]) = 0 s1 = 7238723, s2 = 8133742, d1 = 28, d2 = 25 Dl.O(d1) = 264416989,194151920,185930955,185930954 Dl.O(d2) = 184601493,192985474,262733780,164184752,152301483,152301486,164184762,164184725,152301460,152301458,260618676,126196476,139571792,152301470,152301468,152301540,139571798,126196480,126196481,139571802,139571731,261195933,128034970,141403384,154077197,154077198,165846417,175000518,261743150,139571746,139571745,261195934,261636637,262733788,164184817,175000539,164184793,152301507,139571753,126196441,259400352,84443121,257542276,46804176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238723, s2 = 8133742, dlinesl.size( ) = 2 s1 = 7238723, s2 = 8133742, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7238723, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 16289738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2134104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2134104, s2 = 4626495, int(edited[s2]) = 0 s1 = 2134104, s2 = 4626495, d1 = 32, d2 = 6 Dl.O(d1) = 58187418,256019348,256846101,58187416,70900430,84456931,98366351,112348749,98470825,98470826,112461055,98470837,84548802,84548801,98470834,258862332,70985733,58271268,46906070,46906071,269777243,257048122,46906076,58271277,70985745,84548798,84548809,84548786,70985738,70985739,84548788,84548790,84548791,98470822,260513465,273098096 Dl.O(d2) = 194240828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4476531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4476531, s2 = 3642539, int(edited[s2]) = 0 s1 = 4476531, s2 = 3642539, d1 = 7, d2 = 9 Dl.O(d1) = 114311941,128194788,141551415,154212924,165969994,176613904,186032488,194243354 Dl.O(d2) = 212079404,216068267,219372792,222165359,221647587,221647588,221647590,218786485,215398047,211297244,206278471,200208036,193019402,184640999,175048091,164242385,152369593,139648894,126278538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4476531, s2 = 3642539, dlinesl.size( ) = 2 s1 = 4476531, s2 = 3642539, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4476531, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 4476591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4476591, s2 = 4127395, int(edited[s2]) = 0 s1 = 4476591, s2 = 4127395, d1 = 5, d2 = 9 Dl.O(d1) = 176614689 Dl.O(d2) = 154213899,141552495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4476591, s2 = 4127395, dlinesl.size( ) = 14 s1 = 10229417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4477224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4477852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4479552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4766767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4480391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8501830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4315446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7245040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13411137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13411137, s2 = 14280879, int(edited[s2]) = 0 s1 = 13411137, s2 = 14280879, d1 = 44, d2 = 43 Dl.O(d1) = 16640085,22867844,256988791,48767711,257569531,72898729,86495128,93400804,107823680,260642421,114481048 Dl.O(d2) = 261608502,273316667,125574799,125574800,138908547,138908546,260476000,111765565,259255469,70449676,57754529,46403612,36542297,28074698,255364989,10328610,14998095,20902735,28074694,36542292,46403603,57754518,70449659,70449664,258629003,97839774,97839784,259874287,125574798,138908540,125574785,261055315,261608499,163489628,272976294,165354777,165354778,176045151,273348146,133063126,119233080,259632367,76984388,259005153,90862358,105040817,105040433,105040434,119232621,133062546,261949803,170016840,263702537,203496596,209046170,264860885,220437176,265466075,223075504,223075505,225351462,227328822,229056899,230582323,231941515,230582321,229809752,228190146,265136916,221787834,218940653,215566634,211484003,206488004,200444339,193288559,184951113,261551482,259783740,112908267,257906440,256741234,47298908,37389735,36940387,34616515,34616516,34616075,26626456,19815909,19815910,14194822,9758106,9231170,9231168,13492634,13492632,18926391,24264813,18870216,13492668,13492666,18926441,25133980,31759222,39525308,30914790,23477916,17195406,17195405,23477913,20882918,20882919,28051556,29263771,35081083,34617797,30054627,22678372,16481254,11483601,7638175,4832550,4832551,7638183,11483618,16481293,13493336,9231534,6045928,6045929,9231319,6045824,3782840,3782841,6045884,3782829,2266035,2266036,3782835,5431096,3338619,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914175,14415323,20105209,26996228,35081071,44455950,38134598,255928260,29321409,37889556,36823198,28327582,21117466,21117467,28327584,33383217,33383216,42372226,52771235,53542144,53542143,54632452,52669767,52669768,254449820,25769745,25769747,20992615,15078869,15078868,20992613,28173708,30226815,30226816,28329218,21118653,21118654,23360674,19037214,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29321490,25769581,19129707,13658873,9353259,6126469,6126468,9353273,13658907,19129770,21992971,15895459,15895461,21993598,25465709,25465707,28327841,28327842,23577447,17265809,12145366,9344897,9344896,13646961,15171708,21118672,16475539,16475538,15140747,10442613,10442614,15140749,17105454,19459427,21088449,15148040,11019036,7294719,7294714,10437943,9559415,6272472,6272470,9559377,13927447,19461391,255383272,19459724,19459726,15894046,13907847,13907849,13925716,19458842,19540776,26260002,21991693,15894158,15894161,13742698,9415721,9415720,13742692,19235357,19459842,19428463,13901074,13901073,11018894,11018895,13906588,9544165,9544164,13906586,19434953,26129912,25621456,25621457,256657851,52774792,259048505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13411137, s2 = 14280879, dlinesl.size( ) = 2 s1 = 13411137, s2 = 14280879, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13411137, Dl.E( ) = 50, 2.19e-05 seconds used appending s1 = 4631692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4482814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9236033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9236033, s2 = 13687299, int(edited[s2]) = 0 s1 = 9236033, s2 = 13687299, d1 = 170, d2 = 32 Dl.O(d1) = 60243617,72979563,259431341,260648281,141803832,128451509,128451510,141803835,154450120,166185464,263191350,166185472,166185471,154450131,141803842,128451515,128451516,141803843,154450134,166185456,154450113,141803830 Dl.O(d2) = 164689965,164689966,175447617,184991179,193324899,184991198,184991199,193324926,263337018,264049018,221804129,218958971,215587817,215587818,215587805,211508842,211508841,211508855,206517101,263337020,215587814,211508857,211508859,206517114,206517113,211508861,273230268,193324937,184991208,184991206,193324903,193324928,184991226,175447650,164689994,164689995,175447656,184991193,193324916,200477124,206517088,211508849,264049020,211508866,206517112,262461160,193324972,193324965,184991235,184991236,184991242,193324971,193324935,193324934,200477143,206517070,200477136,200477137,206517102,211508859,206517114,206517113,211508861,273230268,200477141,200477140,200477150,200477151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9236033, s2 = 13687299, dlinesl.size( ) = 48 s1 = 7717262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4632716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4632716, s2 = 2343143, int(edited[s2]) = 0 s1 = 4632716, s2 = 2343143, d1 = 11, d2 = 39 Dl.O(d1) = 186206147 Dl.O(d2) = 46789136,256183042,38224043,256702632,59520990,72254749,85846133,99798676,113812592,127680411,141028345,153694118,165472937,262544914,169449064,169449065,273213103,185612954,176151603,165472935,263151327,185612954,179678426,169449065,273213103,185612954,176151603,262544912,176151606,262544914,169449064,169449065,158035316,145632273,132383932,118541403,104354758,90199509,76369875,63337397,51613218,41387135,32536633,24891401,24891400,24891402,32536636,41387136,51613220,63337398,76369877,90199510,104354761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4632716, s2 = 2343143, dlinesl.size( ) = 8 s1 = 4561867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4484488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7081009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9254766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4634516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9690447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8532505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14878898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16190914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8679993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4488264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817998, s2 = 7265233, int(edited[s2]) = 0 s1 = 6817998, s2 = 7265233, d1 = 64, d2 = 54 Dl.O(d1) = 258824657,257593563,39200257,30603860,30603859,257012929,270872153,154800861,166507230,177088340 Dl.O(d2) = 264738561 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9563373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4638324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4638324, s2 = 8176927, int(edited[s2]) = 0 s1 = 4638324, s2 = 8176927, d1 = 61, d2 = 59 Dl.O(d1) = 186481863,177132174,260034002 Dl.O(d2) = 122015640,107640582,93237135,259631892,77734741,77734740,77734738,77734739,91662873,105871377,113821620,113821619,100969572,86983702,73371047,257431806,100969568,91662862,91662861,105871366,112462564,98472949,84551058,70988002,70988001,74115857,74115858,70988004,70988003,64552229,64552228,73371046,60625341,60625342,72266349,85858046,99811257,87721296,74115867,61333627,258041696,256853368,60625334,73371038,61333616,49850628,49850627,61333612,255824814,87721292,74115863,61333620,49850631,49850632,61333623,74115865,84425590,70868148,70868147,257431808,49224088,39296993,39296992,30699344,23283689,23283692,30699350,39297002,46908302,37031098,28533123,21310570,16172893,16172894,22318078,29669379,38234774,48144816,39296994,255395594,60625337,73371043,257431816,58273379,70987912,84550939,98472812,260513697,261644039,164303022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4638324, s2 = 8176927, dlinesl.size( ) = 30 s1 = 7082051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4136283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4638954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4638954, s2 = 6739508, int(edited[s2]) = 0 s1 = 4638954, s2 = 6739508, d1 = 193, d2 = 203 Dl.O(d1) = 186507053,186507054,194654206,201631566,207503397,264259985 Dl.O(d2) = 55369642,44523497,44523496,257915511,259164839,109484394,261559289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10336575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7082443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7082443, s2 = 7249602, int(edited[s2]) = 0 s1 = 7082443, s2 = 7249602, d1 = 17, d2 = 25 Dl.O(d1) = 262304329 Dl.O(d2) = 194722123,264261641,264542395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5294822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5294822, s2 = 3214851, int(edited[s2]) = 0 s1 = 5294822, s2 = 3214851, d1 = 41, d2 = 1 Dl.O(d1) = 219596314,264542956 Dl.O(d2) = 101010700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5294822, s2 = 3214851, dlinesl.size( ) = 18 s1 = 11660390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14090903, s2 = 8640941, int(edited[s2]) = 0 s1 = 14090903, s2 = 8640941, d1 = 1, d2 = 1 Dl.O(d1) = 274399602,216332834,212388124,207565506,201718111,194770951,186651978,177328214,166773243,155076234,155076232,166773238,262307515,142431899,142431898,155076225,166773224,177328185,186651937,177328184,177328183,263477012,175142304,261624528,139759107,259890944 Dl.O(d2) = 274399602,216332834,212388124,207565506,201718111,194770951,186651978,177328214,166773243,155076234,155076232,166773238,262307515,142431899,142431898,155076225,166773224,177328185,186651937,177328184,177328183,263477012,175142304,261624528,139759107,259890944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14090903, s2 = 8640941, dlinesl.size( ) = 2 s1 = 14090903, s2 = 8640941, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14090903, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4493562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8619685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8619685, s2 = 12520665, int(edited[s2]) = 0 s1 = 8619685, s2 = 12520665, d1 = 41, d2 = 10 Dl.O(d1) = 129136771,129136772,142514015,261869070,155158279,166851178,177398568,186714355 Dl.O(d2) = 204275542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8619685, s2 = 12520665, dlinesl.size( ) = 24 s1 = 6819803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9673663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9673663, s2 = 13163113, int(edited[s2]) = 0 s1 = 9673663, s2 = 13163113, d1 = 16, d2 = 13 Dl.O(d1) = 129147379,115216999,101140233,87142275,259466803,115217001,129147383,142523344,262312747,177405424,263092600 Dl.O(d2) = 164442191,152586303,261096742,259916712,112611761,112611762,112611758,98616863,98616864,112611759,126480103,139851315,127290300,113431592,99429601,85488004,71902896,257492741,47765734,59164688,47765732,47765733,59164692,256190748,33029711,33029710,38358441,255097690,29899154,22543656,16368123,254536310,22543659,16368127,255097672,24344103,17953153,12722293,12722295,17953163,24344124,31866865,40569043,38455431,29898579,22543137,22543135,29898575,38455427,32884903,254619938,41807482,32884910,25176057,18616693,13233349,13233350,18616696,25176064,25883564,19224004,13732692,9407836,6163881,6163883,9407841,13732702,13920422,9554552,9554553,13920424,19452220,26150643,256414176,42720366,255208826,28576412,255601004,41533546,40399508,31707774,31707775,32879881,32297401,24686376,18219484,12922867,8791033,8791035,8917554,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917552,6011603,6011600,8777759,8917494,13013119,13230307,9021425,9021423,13230300,13230357,13230356,255604980,16747088,11701788,7805295,4950051,2987689,2987688,2987674,2987672,4950024,7805248,11701723,16746993,19830958,14205853,9765726,6420883,4028210,2413865,2413864,4028208,5322396,5322398,8250629,12220558,17347634,12940316,8803452,5734507,5734504,8803437,12940286,18242792,12998673,8849745,8849744,12998654,12998652,13771744,19267334,22997886,22997885,19831600,17365277,12234293,9766099,6421081,6421080,9622910,9765958,6421083,6421080,9622910,8260958,5329642,5329639,8260946,9652814,14039009,19593670,26319294,32647749,24976222,18456003,18456004,24976225,32647753,41535294,41534266,32646585,24975016,24975015,22711500,16507435,11503085,7651587,4841235,4841233,7651583,11503079,16507427,22711486,30093047,30093046,38670193,256178890,21672193,21672195,28952330,37494887,47402786,58790358,47402714,256972730,37495040,47293701,37494917,37494916,47402811,58790418,71520088,85092367,99017732,109486555,95233205,81177558,81177557,95233203,95233192,95233191,109486537,102425836,102425837,109486550,123677905,123677907,123677908,137295987,123564116,123564115,123677890,258295050,123677906,114311148,100280745,86318604,86318603,100280744,256430992,59983490,48591429,38674929,30097452,22715625,16511244,16511245,22715627,30097455,38674935,48591440,59983511,61539363,50061162,50061163,61539357,74315885 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4494391, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8698548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8698548, s2 = 15052316, int(edited[s2]) = 0 s1 = 8698548, s2 = 15052316, d1 = 24, d2 = 36 Dl.O(d1) = 274087166 Dl.O(d2) = 271373317,73543101,60796045,49395408,269309730,14194493,11174697,255080721,22222172,22678377,26627575,19816508,14194789,9758085,9758086,14194791,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415906,9231406,6045868,3782822,3782821,6045865,9231396,13493086,18927114,25470883,18870532,13446709,13446707,18870527,25470873,26628285,26628284,34617863,33993010,33993011,37827581,37827582,47061413,37169700,28652406,28652407,34615783,26626158,19815305,14193940,14193941,19815311,26626162,268751898,43887951,46706411,38508498,29944655,22581608,22581606,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,20105114,14415259,9914143,9914144,13562465,9285700,9285698,13562458,9356249,9356250,13662719,19134382,25774703,29322635,29322636,28422194,28422192,36823967,28328358,28328357,36823961,37499135,28956326,28956327,28956391,28956389,28910094,28910095,37449696,36779732,28283576,21078223,21078219,28283565,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,21993372,15895300,11018947,7294680,7294679,11018944,15893447,15994518,15994516,21117953,21117951,25470804,21118568,21118570,28329076,36824617,32580958,24924165,18415170,13080220,8913229,8913230,13080225,18415180,24924177,19452819,14195368,14195366,19817341,26628555,21671120,21671121,28950978,34082398,28975169,21692688,21692687,21117461,21117459,23990247,17645421,12471877,8441211,5450599,5450601,8441217,12471886,17645434,19108632,13643357,13643355,19108627,19457831,26127993,21279555,15317124,10579265,10579266,254934616,28497027,26163485,26163484,255273110,26160705,25894473,25894474,33700485,26168749,26168748,260341665,260561466,262204909,175768188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8698548, s2 = 15052316, dlinesl.size( ) = 32 s1 = 9480487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8681223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14274139, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9505045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165762, s2 = 14544311, int(edited[s2]) = 0 s1 = 14165762, s2 = 14544311, d1 = 2, d2 = 0 Dl.O(d1) = 258969547,63041160,63041159,51359867 Dl.O(d2) = 8823968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165762, s2 = 14544311, dlinesl.size( ) = 2 s1 = 14165762, s2 = 14544311, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165762, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7083645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7083645, s2 = 7085155, int(edited[s2]) = 0 s1 = 7083645, s2 = 7085155, d1 = 11, d2 = 12 Dl.O(d1) = 262321633 Dl.O(d2) = 262338978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7083645, s2 = 7085155, dlinesl.size( ) = 14 s1 = 8527315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8527315, s2 = 10244644, int(edited[s2]) = 0 s1 = 8527315, s2 = 10244644, d1 = 27, d2 = 33 Dl.O(d1) = 44727488,55625685,68013023,81496575,95532018,109741519,123886869,123886870,123886871,137574319,150578975,162683812,155381763,142794381,129472753,115587651,101551216,260694833,142794379,261547034 Dl.O(d2) = 164697015,152861741,152861740,164697013,164697016,175454191,175454192,165475343,261792592,127683109,113815507,99801916,85849919,72258872,59525285,258253518,57988603,256010558,52877488,42473373,33479693,25706224,25706223,33479690,42473361,33562444,33562443,42579112,53019314,53097546,47542751,47542752,58923952,64690815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8527315, s2 = 10244644, dlinesl.size( ) = 30 s1 = 7228306, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6872017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4646200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16063874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16063874, s2 = 4646338, int(edited[s2]) = 0 s1 = 16063874, s2 = 4646338, d1 = 6, d2 = 5 Dl.O(d1) = 39777744,49797677,49797678,61277209,61277211,258863823,87661383 Dl.O(d2) = 115669850,129556191,142874784,155456548,167095045,177598844,186884661,194975577,201900149,207726802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16063874, s2 = 4646338, dlinesl.size( ) = 2 s1 = 16063874, s2 = 4646338, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 16063874, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 4623167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8682051, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4782810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4782810, s2 = 8444648, int(edited[s2]) = 0 s1 = 4782810, s2 = 8444648, d1 = 9, d2 = 3 Dl.O(d1) = 195038108,186953000,177672175,167173037,155540517,142991278,129663562,115766812,101721756,270381449,49882358,39859207,267818492,61363865,74144477,87748915,101721754,115766811,129663560,142991276,155540512,167173034,167173036,155540513,155540512,167173035,177672173,177672172,177672171,177672170,186952998,195038106 Dl.O(d2) = 199706444,192415959,183948073,183948074,177672174,177672173,177672172,177672171,167173033,163436596,258553550,155540509,155540510,163436596,259182082,183948074,186952999,177672172,257932662,155540511,155540509,155540510,163436596,151553924,138851381,125518565,111711355,97788702,97788701,271284995,97788700,97788704,83929683,70403439,57709451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4782810, s2 = 8444648, dlinesl.size( ) = 2 s1 = 4782810, s2 = 8444648, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4782810, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13732979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8708968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7002897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7002897, s2 = 10762136, int(edited[s2]) = 0 s1 = 7002897, s2 = 10762136, d1 = 97, d2 = 123 Dl.O(d1) = 261209574 Dl.O(d2) = 173596054,173596055,183389846,263803377,264424469,210703430,214913825,264687368,216776177,212892158,212892159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7002897, s2 = 10762136, dlinesl.size( ) = 64 s1 = 4331487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4784144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4784144, s2 = 4784145, int(edited[s2]) = 0 s1 = 4784144, s2 = 4784145, d1 = 11, d2 = 13 Dl.O(d1) = 195082672,262640292,177719988 Dl.O(d2) = 195082676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 4649040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4501753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8734326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9677127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8557990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8557990, s2 = 14993529, int(edited[s2]) = 0 s1 = 8557990, s2 = 14993529, d1 = 41, d2 = 20 Dl.O(d1) = 256517038,42020976,259020735,105500006,119738412,133612092,146868840,262808995,129763219,262337267,177770997 Dl.O(d2) = 204051767,262099572,180999995,260419144,147193699,133970818,120128760,105916645,91709343,91709342,105916644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4000410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7085156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7085156, s2 = 7083644, int(edited[s2]) = 0 s1 = 7085156, s2 = 7083644, d1 = 7, d2 = 7 Dl.O(d1) = 262338979,177792473,177732563,177732562,187011318,262321632 Dl.O(d2) = 262338979,177792473,177732563,177732562,187011318,262321632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7085156, s2 = 7083644, dlinesl.size( ) = 2 s1 = 7085156, s2 = 7083644, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7085156, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 4651392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4651392, s2 = 16366313, int(edited[s2]) = 0 s1 = 4651392, s2 = 16366313, d1 = 84, d2 = 140 Dl.O(d1) = 187096977 Dl.O(d2) = 70326709,70326710,83852048,259245220,91977918,257384258,52928852,52928851,50219297,40197180,31511276,24011051,255188607,8460129,8460130,12490927,10983637,10983638,15848611,21936225,29256901,37821899,47743912,50219438,40197380,40197378,36962963,36962964,29925290,22565505,22565504,29925289,256389276,39785766,39785765,40197375,40195405,40195406,50217682,47743910,39427168,30822866,30822865,30822869,30822872,23394940,17123151,12033286,11834973,11834972,16911033,23175289,268032696,254944014,23174989,30593767,37930681,255455516,22393370,16386817,11404998,7578818,4793750,4793749,7578813,8852074,5769167,5769168,8852061,8852063,13002552,13002606,15040816,20949652,28127590,25739032,255357618,257814117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3239312, s2 = 11135744, int(edited[s2]) = 0 s1 = 3239312, s2 = 11135744, d1 = 39, d2 = 19 Dl.O(d1) = 101913985,115958279,260587534,155737456,167371014,177867023,187138675,177867022,261712732,143184910,261164374,167371010,167371012,167371013,177867025,177867027,261712734,260587534,155737456,167371014,177867023,187138675,177867022,261712732,143184910,261164374,167371010,167371012,167371013,177867025,177867027,177867028,187138680,263538784,207908446,212687610,216594331,264986970,224914980,226954481,228732948,265717956,228732947,230298734,231691213,232942685,232942683,231691207,230298729,228732944,228732943,230298727,265560782,222566985,264755562,216594333,219833221,219833222,222566981,224914971,226954468,228732938,265862572,228732958,229667986,228036647,226954486,226954482,226954481,228732955,230298740,228732956,228732957,230298739,228732952,226954477,226954476,224914979,224914980,226954481,228732948,265717956,226954473,265196824,265196822 Dl.O(d2) = 262148451,139436214,126064401,112207973,98229611,259136542,36781632,36781631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3239312, s2 = 11135744, dlinesl.size( ) = 2 s1 = 3239312, s2 = 11135744, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 3239312, Dl.E( ) = 40, 1.41e-05 seconds used appending s1 = 4505466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9500481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8683166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4653488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7719292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4506684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4506846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9717867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9717867, s2 = 15242010, int(edited[s2]) = 0 s1 = 9717867, s2 = 15242010, d1 = 26, d2 = 35 Dl.O(d1) = 263143724,177951946,167473078 Dl.O(d2) = 202156325,195266013,187207412,187207395,187207396,195265995,187207411,177951943,177951942,187207409,263143720,207948693,207948692,202156331,262705830,187207419,262705834,177951952,167473081,155852851,143307565,143307566,155852844,155852845,167473070,177951931,187207403,262705826,187207403,195266003,263143726,207948701,207948697,202156320,195266001,195266002,195266021,262705832,187207420,195266000,195265999,195266008,195266007,195266020,263143728,202156328,262705828,262226930,167473080,155852851,155852848,167473076,177951942,187207400,177951928,167473068,167473069,177951930,167473074,155852847,143307564,143307563,155852845,261711244,177951937,167473073,155852847,143307564,129976480,116069998,102014809,257509480,61639766,61639767,256929294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9717867, s2 = 15242010, dlinesl.size( ) = 18 s1 = 8622786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8622786, s2 = 9554749, int(edited[s2]) = 0 s1 = 8622786, s2 = 9554749, d1 = 1, d2 = 5 Dl.O(d1) = 271803565,202166884,195281207 Dl.O(d2) = 187228835,272265720,271397054,116100989,268258006,17620868,23970260,23970253,23970254,31465967,31608231,31517057,31517059,40166692,49370312,49370311,254135884,39441576,39441579,48957386,41991031,40165020,36727821,28233905,28233904,21036521,21036520,28233909,36727826,29685276,22333277,22333278,22523604,17172626,17172627,23448600,255183142,40173178,31488158,30755630,30755631,39356366,33995440,33995441,43054299,53534158,47287072,37377470,36740448,36740450,39443020,30838935,23409569,17134760,12041652,12041653,17134763,23409541,30740592,39339213,36583604,28111144,20934444,20934445,23320396,30740645,39339285,39385411,46629468,46677100,46677088,36791126,28294431,21087340,21087339,21292872,15326811,15326809,21292863,28513714,23320304,17055540,11964712,8009143,8009142,11964708,17055530,12445841,8414208,5430103,5430104,8414212,12445854,17625743,23973602,31469269,31482043,23985256,17639526,12463798,8432492,8432490,12463792,254106324,31482011,39035401,48725451,48160624,38251419,254273176,30161392,30161393,254601826,254856754,23321402,30742206,39341252,48725547,48725548,39340557,39340558,46831094,36953000,36953002,46831098,46831108,57724240,46374039,36515001,36514998,39441692,30837937,23408937,17134428,12041474,12041473,268245735,39441679,49370093,49370144,49370143,255186904,254601360,40291161,31608081,24105688,17746968,254186824,31373952,31373951,40055246,42491389,33494809,33494808,42491385,254858706,30741763,33378725,33378723,40156866,31472650,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977557,21915984,15832817,10972012,10972013,15832828,21916002,23977110,31473287,40157545,50182285,46628960,36741010,28245395,28245396,29851980,29851981,28771061,28771063,28245377,254272798,15116838,21045729,28245386,36741000,46628947,50552023,52694849,52694848,57991453,254861136,49447727,39515886,30907154,30907157,24734022,18261054,18261055,24734025,32349702,41164573,50192091,40167819,40167818,48755678,38835642,38835641,40169478,31484439,31484440,268001038,48159707,48159706,40169506,268115174,41990972,41990973,37360113,28820447,28820448,29233376,21916155,21916154,29233370,29233372,29232675,21915605,15832571,15832573,21915608,15832680,15832681,21915769,27289426,20354719,14610843,14610839,20354714,21915527,21915526,29232548,29632579,29632580,267929744,25775082,19134753,19134752,25363472,254442714,256844940,1504203,852669,852670,1504206,1515584,1515587,267785907,854355,854297,482492,482493,854324,1506803,1505037,853203,254223031,481664,839586,473410,266068,147325,147324,266067,473407,839581,1484313,2577052,4309823,255012907,11137208,10522747,10522748,10522191,10522189,10250410,6735039,6735040,6938421,6938400,6938401,8333161,8333162,6940419,4361627,2613677,2613681,4361638,6940446,10523673,8615684,8615685,6937003,4359126,2611844,2611846,4359133,6937016,8615064,5600051,5600052,4361188,4361187,6939856,5600239,5600238,8615382,12683933,255595681,28430432,28430431,28447521,24270727,17891457,12673033,8606390,5592716,5592715,254876591,17891456,24270725,21207565,15241255,15241254,17891281,255387487,15243405,21197990,269307503,256768010,23840261,17499991,12339420,10660538,10284123,10284124,6794823,4260412,4260413,4036467,4036466,4263886,4263888,6791029,4260447,2547004,1467298,830155,830156,836595,1480153,2570969,2541625,1464324,1464323,2541619,2527982,2527981,1457550,1457547,2220236,3707375,5929259,6770499,4243496,2537194,2534952,2534954,2533624,1460024,826468,826470,826498,466644,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718683,4249682,6762196,6762199,10287076,6792845,6792843,10301031,8597564,8597562,6845311,6845310,6828238,6828237,4285782,4285783,6774701,6774700,10302546,9095993,9095992,13315256,15335255,12665305,8600850,5942018,3715572,2224963,1290555,1290554,2224961,3715567,5942010,9084511,12562094,12562095,9097620,254440743,3722398,3465386,2560464,2560463,3306821,3306820,2560479,1474591,833850,833849,1474589,2560472,4246894,2539100,1463007,827979,827978,1463005,2539095,4246881,6128555,3834350,3834351,6128558,4228393,2528247,2528246,4228391,5951931,3722209,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,1062031,1861007,1861009,254388731,8133559,12094420,255990395,39529993,49463432,60517980,50572420,40535886,31837920,24318828,24318829,31837921,40535888,50572418,52724721,259380536,23173225,16909277,16909276,23173223,30591837,26618835,19809328,14189334,254681159,4023370,2410681,2410682,4023372,6413507,9754223,14189350,19809352,26618884,34607005,43877671,54620010,60619844,66877865,57981493,46604451,36716359,28400366,28400365,36897759,254956934,15499676,15499675,21508433,28769209,24049419,24049417,31553334,26340985,26340987,26149561,21317603,15346612,15346614,21317611,28541172,37039965,39337188,49263597,58599405,47209385,47209384,48853956,48853955,43203528,40239482,31553505,24049544,17696210,17696211,24049546,30153000,254956766,34214879,26341259,19612594,14054008,9663848,9663847,14054005,19612591,14054096,9663887,6354734,6354733,9663911,10719103,10719118,7081863,7081862,10719111,15499731,21508533,19609065,14051085,14051084,19609062,26337406,21508638,21508640,28769503,37302871,36496866,36496867,37066705,28564940,26342943,19614194,19614193,26342939,254462704,58599424,257682902,15471022,254735487,7067643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8622786, s2 = 9554749, dlinesl.size( ) = 2 s1 = 8622786, s2 = 9554749, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8622786, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 4654670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7035529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8602825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4655701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4655701, s2 = 4707801, int(edited[s2]) = 0 s1 = 4655701, s2 = 4707801, d1 = 9, d2 = 9 Dl.O(d1) = 187255339,263635766,191855490,191855489,273958487 Dl.O(d2) = 187255339,263635766,191855490,191855489,273958487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4655701, s2 = 4707801, dlinesl.size( ) = 2 s1 = 4655701, s2 = 4707801, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4655701, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 9486514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9486514, s2 = 10350464, int(edited[s2]) = 0 s1 = 9486514, s2 = 10350464, d1 = 26, d2 = 49 Dl.O(d1) = 156892968 Dl.O(d2) = 192992,352435,635063,1132255,1982286,3368268,1982553,1132400,635146,254089811,193005,105306,254089807,634983,1132104,1981992,3368214,5473547,3368881,1982367,1132312,635095,352448,352447,635090,1132302,267800895,3368637,3368638,254409098,12502301,8469443,5474538,3368812,1982317,1982318,1982382,1132318,1132319,254274299,5474477,3368749,1982281,1982282,1132422,635162,352480,193023,105316,57884,32565,32563,57881,105310,193013,352464,635130,1132367,1982487,3369062,5474649,3368868,1982351,1132291,1132288,1982344,3368857,3369084,1982505,1132376,1132375,1982502,3369077,254409104,3368364,1982066,1132143,635003,635002,1132139,1982061,1982507,1982509,3369085,5474988,8470023,8468194,8468196,5474308,5474309,5474976,5474975,8469601,5474695,3368903,3368901,3368900,5474697,5474678,3368890,3368891,5474681,5474690,5474689,3369126,254187967,1132392,1982544,3369146,5475051,8470083,12503031,17679758,24030323,31531135,24029026,17678535,12502033,12502032,12502020,8468863,8468864,12500449,12500450,12503561,12503583,17678526,24029015,24027426,24027425,254603566,12500129,8467484,8467485,12500131,17676418,17676431,12500138,8467685,8467684,12500401,12503567,12503081,8469656,8469654,8467731,5473480,3368173,3368172,5473475,254863235,12503044,17676815,24027422,256030499,24030319,17679755,12503028,254603574,24029258,17678804,17678803,24029255,31531308,40215145,31529182,24026980,24026981,31529187,24026984,24026985,31529191,31529203,40215151,40216974,268444612,24028978,31531089,31529674,24027430,24027429,24028977,17682272,17678513,12502015,12502014,17678510,24029002,31531104,24029041,24029035,17678538,12502035,8468870,8468871,12502038,17678541,17680305,17680304,24030924,31533064,40218929,50239061,51360413,255189424,32358353,24742081,24742082,32358355,41174181,50235501,40215147,40215146,50235498,49214787,39288089,30690840,23276034,23276033,30690838,39288083,31531093,24028983,17678498,12502006,8468853,8468855,12502009,17678505,24028997,31531107,40216981,40217014,31531141,24029030,24029029,31531139,256030412,17680313,12503580,12503579,17680309,24030932,31533077,40215412,40215411,32358380,24742096,18269089,12965454,8824604,8824603,12965450,18269085,24742091,32358376,41174210,49214799,39288102,255973739,17017583,11933632,11933631,17017579,23276038,24029047,31531152,30690854,30690853,39288105,258207999,86971742,100955972,89207835,84895184,257706804,47196702,37288352,37288351,47196700,58588027,70371600,57679932,46333172,46333173,57679934,70371602,61431875,49953865,39936509,39936508,36606400,28132588,21134318,21134319,28347420,36844897,33545954,30744211,30744212,39343319,49268986,59434372,261476944,48126981,38216853,38216852,29940071,29940070,38503740,257540607,52014411,52014410,258919371,70902185,257670816,52392320,52392321,64247778,58189287,46823218,36945295,36945294,42047327,33099042,25365169,18782005,13376976,254647609,5983128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9486514, s2 = 10350464, dlinesl.size( ) = 18 s1 = 8728398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6718050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6718050, s2 = 12844731, int(edited[s2]) = 0 s1 = 6718050, s2 = 12844731, d1 = 5, d2 = 0 Dl.O(d1) = 257667566 Dl.O(d2) = 28282245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6718050, s2 = 12844731, dlinesl.size( ) = 2 s1 = 6718050, s2 = 12844731, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 6718050, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 2574520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13613173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6969461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4657537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4657537, s2 = 14176416, int(edited[s2]) = 0 s1 = 4657537, s2 = 14176416, d1 = 7, d2 = 15 Dl.O(d1) = 187346674 Dl.O(d2) = 227015519,228788620,230350668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4657537, s2 = 14176416, dlinesl.size( ) = 2 s1 = 4657537, s2 = 14176416, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4657537, Dl.E( ) = 30, 2.88e-05 seconds used appending s1 = 8644947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8644947, s2 = 11556001, int(edited[s2]) = 0 s1 = 8644947, s2 = 11556001, d1 = 25, d2 = 20 Dl.O(d1) = 175919150,178113379,178113378 Dl.O(d2) = 266360273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8644947, s2 = 11556001, dlinesl.size( ) = 26 s1 = 16181144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13702053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7087061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7087061, s2 = 10669890, int(edited[s2]) = 0 s1 = 7087061, s2 = 10669890, d1 = 13, d2 = 0 Dl.O(d1) = 262364181 Dl.O(d2) = 98950522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7087061, s2 = 10669890, dlinesl.size( ) = 18 s1 = 9720021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9720021, s2 = 15282368, int(edited[s2]) = 0 s1 = 9720021, s2 = 15282368, d1 = 75, d2 = 72 Dl.O(d1) = 255049023,7161600,268075521,21692711,25726164,25620847,23888399,23888397,31385002,255362446,14486316,254693145,1418978,1418977,2454744,4103851,6550758,5827841,5827840,8929010,9968028,6551193,6551192,9968023,14487321,20191181,22167942,22167941,20191241,14487366,14487367,20190198,14486551,14486550,20190196,24131969,25162572,18604871,18604870,23898002,19355826,13843601,13843599,19355814,19355815,26033644,27089475,35177590,44555061,55401644,67740713,81205388,95261406,109515490,260245130,137437391,261409798,173628235,183419977,191979675,199342751,205572394,264342090,214933880,218396431,221305661,265464878,219950621 Dl.O(d2) = 270899186,84503462,70939478,58222380,268252894,10560731,254398986,10535928,10535929,6948292,6948291,10536000,15268936,15261821,10529918,6944511,4364147,4364146,6944507,10529908,15261808,20991613,15291133,15291132,255672709,18967829,13532257,9262301,9262300,8112551,5197416,3171030,3171031,5197373,6961645,6961646,5404198,5404196,7842800,4978438,3007359,3007360,4978447,7842820,11746776,11747051,9942122,6534447,4373784,4373782,6059140,3791169,3791173,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273080,2273082,3794824,6065145,9260335,13520109,13520110,18956479,14452053,14452047,14452048,20146755,27039699,33307417,25545753,25545754,28427732,31191351,257008632,44366763,257008630,49072258,269838413,73221916,261782177,270351321,256211916,5001967,5001968,4355297,3022939,3022934,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229322,19860852,20816230,26385002,24772024,21192963,21192966,21347368,26388778,26388775,28427024,36925680,29950526,29950528,29285734,26394229,26387247,19652768,14087037,9689490,9689489,12635817,12635819,14196748,19819171,23579385,17267610,17267608,23579381,26392571,19658242,19658243,19649618,14084323,14084324,19649619,14089697,9691014,9690837,9690838,14089377,19656318,22872879,16644831,11612761,11612759,16644828,22587755,23038930,16794255,11742596,11742597,7908335,7312216,4615478,4615479,7312220,11037799,14092953,14092952,9695125,6376431,4000722,2397520,2397519,4000721,6376428,6374585,3999833,3999835,6374589,9691622,14090588,15159957,10454867,254548162,5748853,5748854,8823384,12964041,18267597,24740428,22583091,22583092,19657417,19657416,17747327,12557435,12557434,15747731,15747732,21809491,29108293,30272167,30146962,22759918,16547779,16547780,22759920,30146964,23392475,255101852,12031295,17120613,22767485,16553649,254785102,7676184,11538106,11538077,11538076,14491270,14491271,17683873,12506237,12506238,13922869,9556401,9556402,6270702,3926188,2350464,2350466,3926193,6270712,9556463,13922959,16499325,11496109,7646471,4837762,4837761,2927134,2927137,254544107,11538184,16553785,22767672,30155942,38738532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9720021, s2 = 15282368, dlinesl.size( ) = 26 s1 = 8684529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4512354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4512901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10256924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10333997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8588592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4513742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8624100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4660834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4660834, s2 = 11024519, int(edited[s2]) = 0 s1 = 4660834, s2 = 11024519, d1 = 10, d2 = 23 Dl.O(d1) = 187475531 Dl.O(d2) = 12671581,12671582,17889467,24268351,31780938,40475514,50510691,62002112,74798470,88430612,102432393,116529676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4660834, s2 = 11024519, dlinesl.size( ) = 2 s1 = 4660834, s2 = 11024519, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4660834, Dl.E( ) = 24, 7.15e-06 seconds used appending s1 = 9269430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7206878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4354213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4662073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8420033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7107061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7107061, s2 = 7729725, int(edited[s2]) = 0 s1 = 7107061, s2 = 7729725, d1 = 45, d2 = 49 Dl.O(d1) = 262669363 Dl.O(d2) = 273897209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9110757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9403289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4516717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13822909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4663556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4663556, s2 = 12828411, int(edited[s2]) = 0 s1 = 4663556, s2 = 12828411, d1 = 13, d2 = 0 Dl.O(d1) = 187595020 Dl.O(d2) = 78245209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4663556, s2 = 12828411, dlinesl.size( ) = 66 s1 = 13494167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13575573, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8654578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7122217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10236263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7207978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4666936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9589628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7228468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8637417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4668036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4668267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4668267, s2 = 6608449, int(edited[s2]) = 0 s1 = 4668267, s2 = 6608449, d1 = 37, d2 = 40 Dl.O(d1) = 188128477 Dl.O(d2) = 256493596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4668267, s2 = 6608449, dlinesl.size( ) = 34 s1 = 7089613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7089613, s2 = 11547316, int(edited[s2]) = 0 s1 = 7089613, s2 = 11547316, d1 = 10, d2 = 7 Dl.O(d1) = 262411191 Dl.O(d2) = 236649769,235774137,265992504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7089613, s2 = 11547316, dlinesl.size( ) = 14 s1 = 7240578, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4668485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4668485, s2 = 14185518, int(edited[s2]) = 0 s1 = 4668485, s2 = 14185518, d1 = 86, d2 = 107 Dl.O(d1) = 188134306,179070196,168792101,157354184,157354183,168792100,168792097,168792098 Dl.O(d2) = 165738018,153964457,141292656,127931355,114050250,114050251,260100622,258861046,59725633,48341230,268673316,22522324,16349098,15328954,15328955,11383779,7563100,7563099,7556362,4778196,4778197,7556363,11374156,16346422,16349222,12139185,11376623,11376620,16349208,16355628,254584632,7562008,11382048,12207351,17258989,16350176,11377524,7558841,4779727,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525115,9928503,14433530,20125336,16335130,11365437,7550844,4775182,4775181,7550841,11365431,12171948,12212640,8243258,8243256,12212636,17338618,23655438,23566102,17254757,17254759,16326301,16326300,16354883,11381429,7561609,7561608,11381424,16330046,16330049,16343464,16325413,11358809,7546666,7546667,11358811,16326868,22501089,22503232,267770974,7548803,7548804,5292554,5292555,8222379,11035447,11035448,15913978,16338676,16338677,17264623,12144278,12144279,14432555,9927834,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,17237032,17312633,23628617,31115222,38425841,38425481,29861353,22498414,22498415,29861356,29860996,29860997,38425259,46895553,37016989,28518887,21298030,15330530,15330529,21298028,22475998,16305660,11491912,11491910,16494024,16305118,16305119,11544938,7680771,7680770,6890816,4325840,4325841,6890820,7356126,4646770,2799020,1623677,1623675,2798993,4646707,7356023,11091770,15977876,16302552,14929548,10266313,10266312,10454991,6891653,6891655,10454994,11347817,7540544,6750190,6750189,10271765,11352029,11344735,11344737,11346306,7539736,4769411,4769410,7539734,11346300,15157695,10453435,6890822,6890824,10453442,15157706,21101958,28312289,23007577,22481241,16309951,16309950,22481237,22972529,22480876,22480877,22972575,22481115,16309841,16309840,21296304,28517354,28518705,21297817,21297816,28518702,254347944,23570197,23570196,22508414,22508413,17513429,14935482,10271723,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,7104524,10753530,15548187,16343204,11371606,7554680,7554679,11371603,16343202,17514652,12350871,267841206,23857788,22388965,22388970,17587742,17587743,22514030,16340389,16340390,12196303,12196304,15752692,15752691,16340677,254578668,6525399,9928960,9972162,9972161,14493195,14431777,9927280,9927279,8205915,8205917,11377614,11374805,7556835,7556834,8222374,5292554,5292555,8222379,11035447,11035446,12178068,17300049,23576026,20125778,14433946,9928782,9928781,14433944,254839114,16326796,16326795,22500997,29849609,22484275,16312510,16312508,22484274,23613112,23613102,17300013,12178045,8209705,8209707,12178052,10452997,10452994,15157004,20126298,14434417,9929132,9929131,10453237,11365747,11365748,16335506,22509091,29749279,23589185,17277397,17277398,17300047,12178067,12178065,17300044,23613132,26045246,29879468,29870428,267994916,4775729,2878386,1670520,1670518,2878382,4775720,4772977,2876988,1669875,1669876,2876991,4772979,7546763,10452601,15156435,21098667,28308568,22501491,22501492,17084070,15157089,11365457,9501961,6232384,3902016,3902018,6232365,6232785,5172474,3154121,3154120,5172471,8077611,12018357,17103773,23372427,30798920,39402140,49330217,60732067,73480065,87098198,101095536,115172815,129104086,131472030,117667697,103535233,89438987,75675574,62729176,255753914,40955105,40955104,48219948,38310066,29741529,29741533,38310078,38310182,38310180,39729183,49748179,40520271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4668485, s2 = 14185518, dlinesl.size( ) = 2 s1 = 4668485, s2 = 14185518, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4668485, Dl.E( ) = 108, 2.91e-05 seconds used appending s1 = 4668554, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8657693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4668656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3733992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4522832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7054206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7054206, s2 = 7094786, int(edited[s2]) = 0 s1 = 7054206, s2 = 7094786, d1 = 8, d2 = 12 Dl.O(d1) = 261913130 Dl.O(d2) = 262485983,260886901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7054206, s2 = 7094786, dlinesl.size( ) = 14 s1 = 14113113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7196360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7089892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7089892, s2 = 7310899, int(edited[s2]) = 0 s1 = 7089892, s2 = 7310899, d1 = 11, d2 = 21 Dl.O(d1) = 262416275 Dl.O(d2) = 213250557,265271725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7089892, s2 = 7310899, dlinesl.size( ) = 2 s1 = 7089892, s2 = 7310899, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7089892, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 6425259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425259, s2 = 15869504, int(edited[s2]) = 0 s1 = 6425259, s2 = 15869504, d1 = 12, d2 = 0 Dl.O(d1) = 254198345,3572104,267922507,255226405,24720050,269940883,257292323,256205257,14236537,9786713,254467131,2418738,2418737,4036299,6434170,9786711,255015852,14449040,20143348,26687810,256205093,43011292,269396261,39940685,31265955,23780978,17450938,12301660,12301661,17450942,255555676,19870773,19870774,23450708,30882040,34203215,37277059,28744535,28744536,37277062,33031835,33031836,31890530,31890529,26980003,26672054,19855159,19855160,25608226,25608224,33372986,37952372,43309319,53834325,259738193,122218373,262547513,179274615,168988365,157525040,145090453,145090452,145090455,131831569 Dl.O(d2) = 89756068,75977179,257728263,257728265,51315381,41131877,257728267,258966781,103859693,118004285,131831572,261914455,168988368,263300123,196208260,202952603,208605478,264846623,217052860,220210999,222885655,225188965,227190592,266042861,231853242,265810812,265500738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425259, s2 = 15869504, dlinesl.size( ) = 2 s1 = 6425259, s2 = 15869504, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 6425259, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 4669413, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11660378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660378, s2 = 11505090, int(edited[s2]) = 0 s1 = 11660378, s2 = 11505090, d1 = 5, d2 = 6 Dl.O(d1) = 168996932,179283241,263678891,264325855,264600800 Dl.O(d2) = 222889483,222889485,265404360,222201791,219412743,216111231,263926514,201333438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660378, s2 = 11505090, dlinesl.size( ) = 2 s1 = 11660378, s2 = 11505090, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660378, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 7129473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4524005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4524005, s2 = 7799200, int(edited[s2]) = 0 s1 = 4524005, s2 = 7799200, d1 = 61, d2 = 81 Dl.O(d1) = 179292315,188341670,196223551,196223550,196223549,202966858,265070691 Dl.O(d2) = 244136478,244360434,244567738,244760433,244940440,245109747,245268090,245416366,267431856,245809816,245925198,246033834,246135671,246135672,246232902,246232903,246324191,246409993,246490999,246568215,246641182,246709914,246775141,246837517,246897641,246955453,247009694,247060208,247106072,247146979,247183942,247219190,247253184,275070930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4524005, s2 = 7799200, dlinesl.size( ) = 2 s1 = 4524005, s2 = 7799200, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4524005, Dl.E( ) = 82, 2.69e-05 seconds used appending s1 = 9544092, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7090049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7671683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7123220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4526075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4366735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4366735, s2 = 11339054, int(edited[s2]) = 0 s1 = 4366735, s2 = 11339054, d1 = 10, d2 = 2 Dl.O(d1) = 169424719,169424720,179659092,262841652,263649266,169424721 Dl.O(d2) = 104337708,258983229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4366735, s2 = 11339054, dlinesl.size( ) = 34 s1 = 4672549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8364843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3994508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3994508, s2 = 14217527, int(edited[s2]) = 0 s1 = 3994508, s2 = 14217527, d1 = 6, d2 = 6 Dl.O(d1) = 145708268,262432577,263312595,196527531,203203372,208800892,213401626,217170516,220307205,265461139,222965968,265076373,217170443,220307099,220307215,217170519,265076381,222966076,225257621,227249438,265918569 Dl.O(d2) = 145708268,262432577,263312595,196527531,203203372,208800892,213401626,217170516,220307205,265461139,222965968,265076373,217170443,220307099,220307215,217170519,265076381,222966076,225257621,227249438,265918569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3994508, s2 = 14217527, dlinesl.size( ) = 2 s1 = 3994508, s2 = 14217527, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 3994508, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 4673358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4528929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13256901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13256901, s2 = 13195729, int(edited[s2]) = 0 s1 = 13256901, s2 = 13195729, d1 = 0, d2 = 0 Dl.O(d1) = 3529697,3529703,5674933,8718294,5840626,3644846,3644849,5840633,8948099,13129090,18480332,25007359,32687057,41584800,51877797,63675911,76769627,90635706,104806307,118996379,132825079,146052093,262442045,179979695,188942337,196707653,203354400,197864598,190277037,181487429,171474285,160259801,148011860,134891981,121090443,106831058,92519577,78479796,257796144,33730142,25923207,19261384,13765730,13759181,9428790,6181788,3868496,2317178,1343749,1343752,1344258,1344260,1344233,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344232,2318576,2341487,2341653,2341651,2330857,2330859,3892973,3953947,6147496,6147494,9149292,9149293,13385026,18791864,25376823,33112075,33930233,42061149,42061152,52404953,64260364,77410120,91328678,259596514,119779653,133649393,146902543,159272994,170607827,180736568,189631428,197316450,203870975,209342159,213830228,264847920,220583798,223195551,265456734,229133939,266172135 Dl.O(d2) = 3529697,3529703,5674933,8718294,5840626,3644846,3644849,5840633,8948099,13129090,18480332,25007359,32687057,41584800,51877797,63675911,76769627,90635706,104806307,118996379,132825079,146052093,262442045,179979695,188942337,196707653,203354400,197864598,190277037,181487429,171474285,160259801,148011860,134891981,121090443,106831058,92519577,78479796,257796144,33730142,25923207,19261384,13765730,13759181,9428790,6181788,3868496,2317178,1343749,1343752,1344258,1344260,1344233,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344232,2318576,2341487,2341653,2341651,2330857,2330859,3892973,3953947,6147496,6147494,9149292,9149293,13385026,18791864,25376823,33112075,33930233,42061149,42061152,52404953,64260364,77410120,91328678,259596514,119779653,133649393,146902543,159272994,170607827,180736568,189631428,197316450,203870975,209342159,213830228,264847920,220583798,223195551,265456734,229133939,266172135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13256901, s2 = 13195729, dlinesl.size( ) = 2 s1 = 13256901, s2 = 13195729, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13256901, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7156475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7156475, s2 = 14332081, int(edited[s2]) = 0 s1 = 7156475, s2 = 14332081, d1 = 211, d2 = 144 Dl.O(d1) = 263337978,261962600,169985268,158622470,146248164,133013983,119178867,104983839,90805952,76929739,63821837,52005708,41693458,32776437,254645670,13170496,13170497,18535813,19345781,19345780,16217429,16217427,19658340,14090920,9691834,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,8087696,12030214,17119184,22601032,17123732,17123730,17116917,12028653,254521432,3161334,3161337,5181277,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,5984561,9145165,11422994,16406614,21468010,20196525,14491273,14491274,19663100,14094560,12034114,8090182,8090181,12034109,17124282,23396217,22458336,22458337,18338534,13017977,8863406,8863405,13017971,16220739,22376712,256404581,48212040,38302009,38302008,255104280,31718320,31718321,40410159,50444097,61934695,74728172,71573117,58846218,47460990,37553566,37553565,47460988,40160822,31476342,31476341,40160821,31797703,24283787,17903071,12682693,8614335,8614334,12682690,17903068,24283784,31797700,31491923,23995101,23995102,31476256,40149646,39958175,31283389,31283388,23994437,23994436,24283793,31797706,31492475,31486767,23989713,17903012,12682646,12682645,17903010,12682662,8614318,5599461,3475753,3475754,5599465,8614327,12682672,12449076,12449078,17628400,23976080,17651202,12682674,12682673,17903043,17621008,12439491,12439490,17621006,23970346,23980011,17902940,12682573,8614234,8614232,12682571,17632950,17650396,256027085,17640172,17640171,23985955,17902976,12682624,8614291,8614292,12480525,8451427,5459375,3356530,3356531,5459378,8451432,12480533,12480448,8451362,8451360,8451408,8451407,12468540,8437688,8437687,12468537,12480493,8614297,8614298,12682634,17628389,12682631,8614296,8614295,12477222,8447473,8447474,12477225,16372491,16372492,17632900,12455055,12455054,12480534,17632978,23977674,17630437,12451915,12451916,8424110,5437421,5437416,5437415,5458540,5458539,8425701,10955430,7250960,7250961,5427580,5427579,8410756,8420325,8415931,5431280,3338727,3338726,254406295,1966337,1123041,1123043,1966343,1963489,1121516,629201,629202,1121522,1963503,3338895,3342733,5437717,5451310,8442029,10938262,12477317,12477315,268114359,12453435,255185631,23621906,23621907,256503191,39786221 Dl.O(d2) = 39353576,48806915,48806918,39112601,256598856,53239583 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4530727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9455058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9455058, s2 = 7251673, int(edited[s2]) = 0 s1 = 9455058, s2 = 7251673, d1 = 13, d2 = 6 Dl.O(d1) = 153464713,165264077,261568782,131990836,143515002,272100720,145224756,145224757,139897459,126534186,272182197,137613613,150609491,150609492,273061753,183494644,176595149,176595148,186016624,187351498,195388275,261751878,167658624,167658625,260628052,162654670,162654671,156052276,271523754,116344817,261313081,261204894,162654673,162654672,261204892,180185141,180185140,273556099,262450106,167658612,156052252,143515011,143515012,143515030,143515031,261413180,143515007,143515025,156052259,156052257,156052258,156052249,156052250,167658610,156052267,156052266,158660953,262911507,189126932,196870962,203498201,209047771,213602379,212801283,208037571,202259854,202259855,208037573,212801285 Dl.O(d2) = 193387023,185059239,185059240,263872975,206566974,211552352,215625513,216604326,265247393,216695574,265049933,218991994,218992009,215625526,264566564,200533265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9455058, s2 = 7251673, dlinesl.size( ) = 2 s1 = 9455058, s2 = 7251673, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9455058, Dl.E( ) = 14, 4.77e-06 seconds used appending s1 = 8659533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3000857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3000857, s2 = 9451516, int(edited[s2]) = 0 s1 = 3000857, s2 = 9451516, d1 = 2, d2 = 113 Dl.O(d1) = 90893537,105073347,119266379,119266380,261415159,158692008,170049023,180212411,180212409,180212408 Dl.O(d2) = 258264729,40077329,40077330,50098051,50098050,61578004,61578005,258193706,268681571,31396077,27030362,27030361,35116997,44494075,55340182,46832312,46832313,50098049,50098058,61578014,67679905,55340173,55340172,61578019,74354805,61578011,50098056,50098055,61578009,62919904,58945760,47562888,47562887,257912937,44494077,44494078,55340186,67679918,81146129,258962695,75894276,89669617,85512950,269614480,59185972,71925373,259353581,95203527,89669616,75894274,62919909,51251810,41078073,32273083,32273084,41078074,51251812,62919913,75894280,87045034,73427674,73427673,75894273,269452541,41078087,32273092,32273091,41078085,51251829,62919939,75894295,89669611,75894268,74556128,61772551,61772552,61772557,61772556,74556132,75894314,75894303,62919949,51251837,41078094,41078093,41078097,51251841,62919952,258962705,74345509,74345510,87947775,87045031,258212893,60680036,73427666,74556111,74556112,84569205,84569206,74556110,74556109,73427667,73427668,61772529,61772530,74556102,72461642,59725969,59725968,59535664,59535665,61772522,61772523,74556107,72269689,64346910,52476658,50292756,40271481,31584366,31584367,29879174,22522752,16349631,11377071,11377070,16349629,22522747,29879167,38437935,40271488,50292724,40271462,256970820,40271564,40271490,31584374,24078499,17721425,12537516,8499051,8499049,12537512,255107286,12537530,17721438,17721437,24078484,24078508,24078510,31584396,31688887,40271521,269001847,61772580,61772567,50292776,40271503,31584383,24078503,24078502,31584381,40271499,50292772,50292791,40271514,31584390,24078506,24078505,31584388,40271511,50292786,50088336,40066938,40066939,50088338,40327369,31637827,24130715,24130714,31584358,31584357,31584438,40271563,40327395,40327396,50354573,269409437,40327420,31637861,24130738,17767360,12573265,8527295,5525885,5525884,8527293,12573260,17767352,24130723,31637841,40327390,50354556,40327377,40327378,50354535,50354534,40427099,40427100,50464819,61960703,61960702,258291691,50464854,40427132,31733001,24224474,24224475,31733003,40427133,50464856,50464811,40427091,31732975,24224461,17852722,12642968,12642967,17852719,24224456,256550631,50464802,61960689,258914601,75973012,89751753,102259952,116354188,130192312,143521328,143648883,143648882,135140000,135140001,258847368,121290324,121290325,135140003,130324839,130324838,143648881,135140009,121290338,121290339,135139999,129212755,115284281,115284280,257616906,92663713,92663712,106997626,106997629,92663715,78607431,78607432,92663716,106997631,121290328,121290335,135139997,121290336,106997642,106997641,121290312,115284287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3000857, s2 = 9451516, dlinesl.size( ) = 56 s1 = 10236383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10236383, s2 = 13531467, int(edited[s2]) = 0 s1 = 10236383, s2 = 13531467, d1 = 8, d2 = 15 Dl.O(d1) = 258380465,90904328,258340440,133107088,146334040,158702071,170058957,170058942,158702058,146334029,146334030,158702060,170058943,180221851,180221855,176108594,176108595,185573085,179267743,168980929,157517347,157517346,168980927,179267741,188319253,196202705,196202706,189159078,180221837,170058928,158702046,146334022,133107072,133107074,146334024,158702052,261375030,179267731,168980920 Dl.O(d2) = 260805453,260805455,145082593,157517342,146334027,146334026,158702054,170058937,170058926,158702046,146334022,133107072,133107074,146334024,158702052,261375030,180221844,272332860,158702044,146334020,133107071,119277334,105084309,90904326,90904327,105084312,119277336,133107078,133107067,119277331,119277330,133107064,260805450,261375026,170058923,179267738,168980926,168980927,179267741,188319253,196202705,262880464,263299634,185573083,262880466,262231198,127628682,113760063,259991184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10236383, s2 = 13531467, dlinesl.size( ) = 8 s1 = 9384247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9384247, s2 = 5565782, int(edited[s2]) = 0 s1 = 9384247, s2 = 5565782, d1 = 1, d2 = 1 Dl.O(d1) = 181800393,190537246,181800398,171833600,160643588,148378348,135209206,121358549,121358550,107061779,92722531,78660125,65356666,53354243,256062960,33845670,28434518,21210294,15243646,15243645,21210293,15243773,15243774,15243767,15243768,15243925,10516367,10516366,15243921,10516380,6935254,6935253,10516377,15243940,21210750,15244002,10516412,10516408,15244000,21210360,21210819,15243985,15243986,21210822,256306515,28435269,21210840,15243994,268068155,10516298,10516299,255387545,28434843,29632955,38199722,48110980,51563805,58179304,48110987,38199728,38199727,34630595,26640423,19828187,19828186,16137184,16137183,22280881,29632963,38199738,38199697,38199696,33475452,33344498,25584769,19828002,19828003,25702189,19075921,13618709,13618708,19075917,25702180,33475467,27192563,27192564,35312278,42300353,42300354,36933382,36933338,29632907,22280852,16137168,16137170,22280858,29632922,34630265,43902812,52872747,43902785,34630237,26640163,19828031,19828030,19828165,26640251,19828085,14203826,14203825,19828079,26640240,34630346,43902930,43902941,34630356,26640255,19828090,14203831,14203830,19828089,24852223,32040683,24476510,24476509,19828034,14203792,9764291,9764289,14203807,14203850,14203851,19828129,26640306,26640290,26640291,26640110,19827997,14203774,14203773,19827991,26640103,34630122,34630328,34630142,34630143,42732303,34630569,26640408,26640406,34630567,43903181,38199666,34630075,26640076,19827977,14203765,9764271,9764273,14203770,19827987,26640095,34630107,34630057,34630058,43902598,54645794,54645908,43902868,34630336,26640231,26640230,34630209,34630208,40215599,34630295,26640199,26640198,26640286,19828113,14203841,9764304,9764305,14203847,19828121,26640300,34630426,43902972,34630377,26640265,26640266,34630380,43902978,54645831,43902655,43902656,34630560,34630559,32040689,32040688,26640083,26640084,34630091,43289603,34630052,34630053,43902582,42469020,33475486,33475484,42469016,43902585,43902586,43902625,54645807,54646067,54645838,48776401,43902853,43902854,40215604,31529632,24027397,24027396,29597459,29597461,38163974,48076732,49959170,49959169,39942179,31267380,31267381,39942181,37339309,28801265,28801266,37339313,43902982,43903006,43903005,54646092,61715017,50235971,40215586,31529618,31529619,34630189,26640140,19828019,14203783,14203782,19828014,26640132,34630173,38856366,48776421,54645889,54645887,43902762,43902761,48076738,48076739,38856361,38856362,40215647,40215648,50235939,50235958,40215578,31529624,31529623,40215591,50235977,60170878,66903057,60169799,48775401,38855405,38855407,43902961,34630368,34630366,43902754,34630213,34630214,43902757,54645919,63710278,63710277,59230745,47833007,43903053,34630449,26640318,26640319,34630149,26640118,19828008,19828009,26640126,34630161,34630171,43902715,54645876,54646115,46811786,40215639,31529656,24027412,17676800,12500467,12500468,17676803,24027419,31529668,40215659,40215573,40215572,46826129,38856355,38856356,48776409,60170883,58192059,46826124,36948232,36948231,46826118,36948227,33729994,33729997,42759875,43902748,50235961,41603747,41603748,51903574,47833016,37911239,37911238,47833013,54646132,43903060,43903059,38447964,29891240,29891241,38447972,48350225,58786886,58786887,48350234,38447975,38447974,48350230,43310521,43310517,48262620,48350218,59734411,48350307,48350308,59734480,50236029,40215651,40215652,48350323,38448043,38448042,48350317,38467336,29909788,29909789,38467340,40922056,32144734,32144735,40922062,51062610,62692007,52393086,46826136,36948238,36948239,46826142,46826157,48350280,38448008,29891264,29891265,38448012,48350284,58786876,58192108,58192109,70904810,59649683,59649685,59734378,58786868,48262739,48262738,59649761,59734436,72470195,59734449,48350267,48350268,59649717,70904805,58192104,58192103,54646038,43902906,43902907,54646027,46812296,46812297,53835160,256846482,59734457,51062596,51062595,51062607,62692002,74313005,62692004,62692003,75636477,62691988,51062598,40922051,40922052,51062600,256407228,28947588,28947587,37490269,29891288,22536533,22536535,29891290,38448049,48350331,48262668,256949624,48262635,38351642,38351644,48262638,55347181,48262743,48262742,59649769,48350336,48350338,59734493,54646024,43902896,43902895,54646018,66903132,70893446,59649724,59649723,52304515,52304516,53532539,53532540,50057177,50057176,59649668,59649669,50058255,50058257,40038959,38351773,31357815,23863954,17519776,17519775,256017613,40037710,50057260,61536033,74313035,87916710,86624989,73024745,60287844,48894047,38973521,30387006,22984437,16746748,16746749,18600769,25158067,32864940,41785361,52098720,63917456,77029282,90909426,105089723,119282797,133112612,146339952,158708950,170069659,180240374,189186253,196930524,203549913,209085453,213628306,217353627,220456415,223091969,225366758,227343917,229072616,230597960,231955504,265780380,235288212,236204320,236702949,235833188,234877988,233829384,266230386,229978853,228374810,226547926,224450936,222036604,219224697,215892939,211865531,206936706,264219900,185646034,176187839,165512145,153735845,141069634,127718932,113848089,99832362,85878799,72286878 Dl.O(d2) = 181800393,190537246,181800398,171833600,160643588,148378348,135209206,121358549,121358550,107061779,92722531,78660125,65356666,53354243,256062960,33845670,28434518,21210294,15243646,15243645,21210293,15243773,15243774,15243767,15243768,15243925,10516367,10516366,15243921,10516380,6935254,6935253,10516377,15243940,21210750,15244002,10516412,10516408,15244000,21210360,21210819,15243985,15243986,21210822,256306515,28435269,21210840,15243994,268068155,10516298,10516299,255387545,28434843,29632955,38199722,48110980,51563805,58179304,48110987,38199728,38199727,34630595,26640423,19828187,19828186,16137184,16137183,22280881,29632963,38199738,38199697,38199696,33475452,33344498,25584769,19828002,19828003,25702189,19075921,13618709,13618708,19075917,25702180,33475467,27192563,27192564,35312278,42300353,42300354,36933382,36933338,29632907,22280852,16137168,16137170,22280858,29632922,34630265,43902812,52872747,43902785,34630237,26640163,19828031,19828030,19828165,26640251,19828085,14203826,14203825,19828079,26640240,34630346,43902930,43902941,34630356,26640255,19828090,14203831,14203830,19828089,24852223,32040683,24476510,24476509,19828034,14203792,9764291,9764289,14203807,14203850,14203851,19828129,26640306,26640290,26640291,26640110,19827997,14203774,14203773,19827991,26640103,34630122,34630328,34630142,34630143,42732303,34630569,26640408,26640406,34630567,43903181,38199666,34630075,26640076,19827977,14203765,9764271,9764273,14203770,19827987,26640095,34630107,34630057,34630058,43902598,54645794,54645908,43902868,34630336,26640231,26640230,34630209,34630208,40215599,34630295,26640199,26640198,26640286,19828113,14203841,9764304,9764305,14203847,19828121,26640300,34630426,43902972,34630377,26640265,26640266,34630380,43902978,54645831,43902655,43902656,34630560,34630559,32040689,32040688,26640083,26640084,34630091,43289603,34630052,34630053,43902582,42469020,33475486,33475484,42469016,43902585,43902586,43902625,54645807,54646067,54645838,48776401,43902853,43902854,40215604,31529632,24027397,24027396,29597459,29597461,38163974,48076732,49959170,49959169,39942179,31267380,31267381,39942181,37339309,28801265,28801266,37339313,43902982,43903006,43903005,54646092,61715017,50235971,40215586,31529618,31529619,34630189,26640140,19828019,14203783,14203782,19828014,26640132,34630173,38856366,48776421,54645889,54645887,43902762,43902761,48076738,48076739,38856361,38856362,40215647,40215648,50235939,50235958,40215578,31529624,31529623,40215591,50235977,60170878,66903057,60169799,48775401,38855405,38855407,43902961,34630368,34630366,43902754,34630213,34630214,43902757,54645919,63710278,63710277,59230745,47833007,43903053,34630449,26640318,26640319,34630149,26640118,19828008,19828009,26640126,34630161,34630171,43902715,54645876,54646115,46811786,40215639,31529656,24027412,17676800,12500467,12500468,17676803,24027419,31529668,40215659,40215573,40215572,46826129,38856355,38856356,48776409,60170883,58192059,46826124,36948232,36948231,46826118,36948227,33729994,33729997,42759875,43902748,50235961,41603747,41603748,51903574,47833016,37911239,37911238,47833013,54646132,43903060,43903059,38447964,29891240,29891241,38447972,48350225,58786886,58786887,48350234,38447975,38447974,48350230,43310521,43310517,48262620,48350218,59734411,48350307,48350308,59734480,50236029,40215651,40215652,48350323,38448043,38448042,48350317,38467336,29909788,29909789,38467340,40922056,32144734,32144735,40922062,51062610,62692007,52393086,46826136,36948238,36948239,46826142,46826157,48350280,38448008,29891264,29891265,38448012,48350284,58786876,58192108,58192109,70904810,59649683,59649685,59734378,58786868,48262739,48262738,59649761,59734436,72470195,59734449,48350267,48350268,59649717,70904805,58192104,58192103,54646038,43902906,43902907,54646027,46812296,46812297,53835160,256846482,59734457,51062596,51062595,51062607,62692002,74313005,62692004,62692003,75636477,62691988,51062598,40922051,40922052,51062600,256407228,28947588,28947587,37490269,29891288,22536533,22536535,29891290,38448049,48350331,48262668,256949624,48262635,38351642,38351644,48262638,55347181,48262743,48262742,59649769,48350336,48350338,59734493,54646024,43902896,43902895,54646018,66903132,70893446,59649724,59649723,52304515,52304516,53532539,53532540,50057177,50057176,59649668,59649669,50058255,50058257,40038959,38351773,31357815,23863954,17519776,17519775,256017613,40037710,50057260,61536033,74313035,87916710,86624989,73024745,60287844,48894047,38973521,30387006,22984437,16746748,16746749,18600769,25158067,32864940,41785361,52098720,63917456,77029282,90909426,105089723,119282797,133112612,146339952,158708950,170069659,180240374,189186253,196930524,203549913,209085453,213628306,217353627,220456415,223091969,225366758,227343917,229072616,230597960,231955504,265780380,235288212,236204320,236702949,235833188,234877988,233829384,266230386,229978853,228374810,226547926,224450936,222036604,219224697,215892939,211865531,206936706,264219900,185646034,176187839,165512145,153735845,141069634,127718932,113848089,99832362,85878799,72286878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9384247, s2 = 5565782, dlinesl.size( ) = 2 s1 = 9384247, s2 = 5565782, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9384247, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7690323, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14165334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4532920, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9418632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9418632, s2 = 15315882, int(edited[s2]) = 0 s1 = 9418632, s2 = 15315882, d1 = 5, d2 = 7 Dl.O(d1) = 12442936,17623665,23972132,31467771,40151594,50176867,61662869,61319857,49836776,49836777,61319859,74102800,61319862,49836781,256302230,23643714,17327208,256000437,17327206,17327207,23643729,23643720,17327226,12202289,8233832,8233830,12202284,255646421,32924596 Dl.O(d2) = 257148582,77142821,91047637,105257410,271496704,146586403,158953320,170295273,180437159,180437160,263305886,197068039,264024392,213688048,217397109,220488336,223116368,274347985,215943849,264283942,194014666,185776613,176332093,165663690,153887195,141215420,127856554,113978858,113978857,127856553,141215419,139929133,261658583,126564868,112700554,259308619,84776379,84776378,71207399,58485664,47107515,37210667,28686338,21436385,15441848,15441849,21436386,28686339,37210669,47107518,58485667,71207402,84776380,98704653,260529347,273530426,272532415,261658585,164487418,175263814,273530429,193176411,193176409,193176410,273530425,262659891,273061524,71207396,58485661,47107505,47107504,47107506,47107507,37210663,28686332,21436379,21436380,28686334,256955473,59720800,258721009,99369934,257782484,76969878,83855092,97713897,271029452,271292474,113306471,113306470,125437993,125437994,113306473,99302710,268604568,29136047,21828856,15760904,10915294,7218910,4548371,254230199,900736,508106,508105,900734,1584338,2734180,4548369,7218906,10806537,7140673,7140672,255046791,255312037,14165893,19777299,26580353,256719837,34566783,43838618,54583598,66843251,80273300,80273301,80273302,94329968,261533123,149857490,162071655,173174088,183028121,191641301,191641300,183028120,173174086,173174085,183028117,191641299,199048147,191641305,191641296,191641297,264115931,205313595,205313596,264673847,210501031,209730877,204336830,197870819,190283347,190283346,197870818,204336828,209730875,204336832,197870823,190283350,181494279,171481855,160268333,148021490,134902048,121100786,106841255,106841248,259703237,270556613,257829049,257829051,53219043,42769308,33739357,33739358,33739363,269101785,65204938,257829047,42769310,42769309,53219044,65204934,270556611,121100783,134902045,148021484,160268332,160268329,160268330,171481851,181494271,181494270,181494269,263745229,204336819,204336822,204336826,209730873,214154569,217787086,217787087,264560490,210269787,205020366,198684459,191205237,191205234,182517756,172583815,161402256,149115443,260114204,107602821,93202310,79087141,79087139,79087140,93202309,86015177,72419042,256009770,38387765,38387766,48298085,59684417,59896164,48502388,38587445,38587444,41200599,51393060,48502378,48502377,59896159,72637984,72309739,59575042,269375258,22357336,16205353,16205354,21858214,23284499,17025344,17025343,23284498,30700212,39297803,49224831,39297797,39297796,48502380,48502379,58770103,256885249,37475681,28934140,21656380,15621266,10808320,7141829,7141831,4497998,2702796,2702797,4498003,7141819,4496754,2701909,1565521,1565522,2701911,4496758,4497289,7142640,10809448,15622886,21658595,28937073,255933496,38500259,29937094,29937093,29937100,22574527,16391895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9418632, s2 = 15315882, dlinesl.size( ) = 2 s1 = 9418632, s2 = 15315882, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9418632, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 4533207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4533207, s2 = 5393893, int(edited[s2]) = 0 s1 = 4533207, s2 = 5393893, d1 = 17, d2 = 27 Dl.O(d1) = 159000565,170336280,180472950 Dl.O(d2) = 220493388,223119666,220493400,217405239,213701433,209185781,209185780,213701431,217405231,220493385,223119663,223119667,223119666,220493400,220493401,220493402,223119683,225388468,225388467,265658304,265633051,229084544,266050561,233183822,233851367,232701939,266000315,228408629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4533207, s2 = 5393893, dlinesl.size( ) = 12 s1 = 4533252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4533330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7718566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7191038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7191038, s2 = 7272678, int(edited[s2]) = 0 s1 = 7191038, s2 = 7272678, d1 = 23, d2 = 26 Dl.O(d1) = 263811472 Dl.O(d2) = 264822709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7191038, s2 = 7272678, dlinesl.size( ) = 12 s1 = 4680866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4680866, s2 = 8582717, int(edited[s2]) = 0 s1 = 4680866, s2 = 8582717, d1 = 53, d2 = 113 Dl.O(d1) = 189578270 Dl.O(d2) = 86701251,100674512,114720872,128617645,141977246,154619167,154619155,154619156,154619157,141977232,128617638,128617637,128617645,141977245,141977227,141977228,154619153,262762801,166336876,154619162,154619161,154619162,141977238,128617641,128617642,141977240,154619166,166336877,166336874,166336875,176933217,166336876,154619162,141977238,128617641,114720870,114720871,128617643,141977242,141977229,128617636,114720867,100674509,100674510,260053734,86701249,73097698,73097699,86701250,100674510,114720869,128617639,141977234,141977244,141977243,141977236,128617640,128617639,141977234,141977244,141977243,141977248,141977247,154619169,262762803,186306917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4680866, s2 = 8582717, dlinesl.size( ) = 2 s1 = 4680866, s2 = 8582717, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4680866, Dl.E( ) = 114, 4.2e-05 seconds used appending s1 = 4813405, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8688741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9479471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9479471, s2 = 4681503, int(edited[s2]) = 0 s1 = 9479471, s2 = 4681503, d1 = 6, d2 = 11 Dl.O(d1) = 33067404 Dl.O(d2) = 18758147,13357069,13357068,18758145,25337832,33067403,42011501,52350858,64201341,77349118,91269286,105491665,119730265,133604072,146860850,159234000,170571424,180702559,189600033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9479471, s2 = 4681503, dlinesl.size( ) = 2 s1 = 9479471, s2 = 4681503, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9479471, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 7166769, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8655034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8655034, s2 = 13334797, int(edited[s2]) = 0 s1 = 8655034, s2 = 13334797, d1 = 90, d2 = 86 Dl.O(d1) = 170604046,180733271,180733273 Dl.O(d2) = 17247968,23557152,18420776,18420777,24932320,32593990,254678650,27983024,27983025,36442043,255719092,28694080,255308424,15447141,21442902,28694078,37219281,47116632,46295007,46295009,47096622,58474346 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7093371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093371, s2 = 6848952, int(edited[s2]) = 0 s1 = 7093371, s2 = 6848952, d1 = 4, d2 = 6 Dl.O(d1) = 262470565,180875242,263718879,197438959,264357657,213879210,217547539,220609793,220609794,218585996,215154743,264443495,199725768,192437167,183971233,174308822,174308820,163460880,151577830 Dl.O(d2) = 260473693,259253277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093371, s2 = 6848952, dlinesl.size( ) = 2 s1 = 7093371, s2 = 6848952, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7093371, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 4538866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165868, s2 = 8760771, int(edited[s2]) = 0 s1 = 14165868, s2 = 8760771, d1 = 6, d2 = 6 Dl.O(d1) = 55224777,44374032,44374033,55224778,67567719,81036317,95094125,271656543,123539758,111529111,111529112,125348065,261595561,147052377,133805366,259860398,91477084,257990454,52503530,42145359,255780126,25440682,33186014,36896807,36896808,36897210,30003991,28399289,21178924,15218565,13723556,9400661,6158950,6158951,9400663,13723560,19213166,21183181,15221818,10499945,10499944,10497911,6922408,4348901,4216715,4216716,6730171,10242789,14896327,20784045,27937263,23265919,17002110,11915354,11915355,17002113,23265925,256474491,49206104,39697535,39697534,257258774,33784026,25973785,19306731,13804649,13804648,19306729,25973781,33784022,42816600,43020781,42707451,42707452,42706356,33676274,25870324,19212214,13722947,9400355,9400357,13722952,19212226,25870364,29090795,21792647,15734046,15734044,21792638,29090778,37641357,42705491,33676586,33676587,28688768,28688769,33677280,25871274,256158127,25869806,25869805,33675730,42705900,53155832,65140300,259699041,259324964,63546007,51766736,41495358,32614890,24949319,24949320,32614894,38630837,32614900,24949326,18433779,13093532,254635599,5822748,8922614,13093538,13093522,13093524,13379252,13379255,18784705,18450560,18450561,24970331,32641399,255473016,18818506,25409279,33149747,42103462,52455957,64323128,259027057,105643947,119882663,133752970,147003080,159386066,170736268,180877534,273630779,203967799,209412397,213880214,213880210,213880211,209412399,209412398,213880215,265093289,213880207,209412392,209412393,213880208 Dl.O(d2) = 55224777,44374032,44374033,55224778,67567719,81036317,95094125,271656543,123539758,111529111,111529112,125348065,261595561,147052377,133805366,259860398,91477084,257990454,52503530,42145359,255780126,25440682,33186014,36896807,36896808,36897210,30003991,28399289,21178924,15218565,13723556,9400661,6158950,6158951,9400663,13723560,19213166,21183181,15221818,10499945,10499944,10497911,6922408,4348901,4216715,4216716,6730171,10242789,14896327,20784045,27937263,23265919,17002110,11915354,11915355,17002113,23265925,256474491,49206104,39697535,39697534,257258774,33784026,25973785,19306731,13804649,13804648,19306729,25973781,33784022,42816600,43020781,42707451,42707452,42706356,33676274,25870324,19212214,13722947,9400355,9400357,13722952,19212226,25870364,29090795,21792647,15734046,15734044,21792638,29090778,37641357,42705491,33676586,33676587,28688768,28688769,33677280,25871274,256158127,25869806,25869805,33675730,42705900,53155832,65140300,259699041,259324964,63546007,51766736,41495358,32614890,24949319,24949320,32614894,38630837,32614900,24949326,18433779,13093532,254635599,5822748,8922614,13093538,13093522,13093524,13379252,13379255,18784705,18450560,18450561,24970331,32641399,255473016,18818506,25409279,33149747,42103462,52455957,64323128,259027057,105643947,119882663,133752970,147003080,159386066,170736268,180877534,273630779,203967799,209412397,213880214,213880210,213880211,209412399,209412398,213880215,265093289,213880207,209412392,209412393,213880208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165868, s2 = 8760771, dlinesl.size( ) = 2 s1 = 14165868, s2 = 8760771, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165868, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7668767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7668767, s2 = 7316244, int(edited[s2]) = 0 s1 = 7668767, s2 = 7316244, d1 = 21, d2 = 28 Dl.O(d1) = 271819842 Dl.O(d2) = 265215298,230659219,232008945,265576350,265335710,264925896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7668767, s2 = 7316244, dlinesl.size( ) = 30 s1 = 7093427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7952196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7111091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8324298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7179549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7179549, s2 = 13895134, int(edited[s2]) = 0 s1 = 7179549, s2 = 13895134, d1 = 54, d2 = 104 Dl.O(d1) = 263637207 Dl.O(d2) = 266609218,239162774,266809124,239162776,238530131,238530132,238530136,239162778,238530134,238530133,238358463,237653266,236876903,236022895,235083197,266447359,266610533,238358470,237839300,237079458,236247379,235335239,234334295,234334296,235335232,236247365,237079444,237839288,238530136,239162779,239743913,239592542,266918370,238358470,274822921,240139655,266865906,240281427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4540952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7276859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7276859, s2 = 4012791, int(edited[s2]) = 0 s1 = 7276859, s2 = 4012791, d1 = 16, d2 = 0 Dl.O(d1) = 264875798 Dl.O(d2) = 147128297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7276859, s2 = 4012791, dlinesl.size( ) = 18 s1 = 4685671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7127444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7127444, s2 = 11393334, int(edited[s2]) = 0 s1 = 7127444, s2 = 11393334, d1 = 38, d2 = 54 Dl.O(d1) = 262938939,189861448,180983102,170863661,170863660,180983101 Dl.O(d2) = 265448879,265134356,212998939,264122826,195735558,187773038,178639505 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7185719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8559511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4016323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4016323, s2 = 7218940, int(edited[s2]) = 0 s1 = 4016323, s2 = 7218940, d1 = 85, d2 = 94 Dl.O(d1) = 147213866,159572654,170900016,181017894 Dl.O(d2) = 264166561,211246175,215350768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4016323, s2 = 7218940, dlinesl.size( ) = 2 s1 = 4016323, s2 = 7218940, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4016323, Dl.E( ) = 114, 5.91e-05 seconds used appending s1 = 13806187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13806187, s2 = 3309705, int(edited[s2]) = 0 s1 = 13806187, s2 = 3309705, d1 = 102, d2 = 92 Dl.O(d1) = 274147451,204077607,263944378,263204848,159596483,147241126,134024241,261451943,262484351,147241097,134024232,120190838,120190839,134024226,120190836,105990293 Dl.O(d2) = 105990292,120190834,109603315,95350990,81294773,259361700,35253308,44637835,257923865,81294775,259655685,77512860,64347279,52477109 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9238744, s2 = 9107792, int(edited[s2]) = 0 s1 = 9238744, s2 = 9107792, d1 = 6, d2 = 3 Dl.O(d1) = 268995192,85858034,72266337,72266336,85858032,259675408,77880963,64691125,64691126,77880964,91803576,105998655,120199699,134032995,147249632,159604942,170929537,181044189,189917499,193774861,185510484,176040391,165350206,153561163,153561164,153561165,153561166,140886964,140886965,140886958,140886957,140886959,127531568,113659917,99645965,85696835,72110685,59377842,47987532,38074706,29510392,22169407,16045948,11141503,7389946,4668549,2812480,1631534,927754,522924,293094,293097,522932,927771,1631564,2812529,4668633,7390068,11141688,12490344,12490343,15579693,20300040,14567673,14567674,20300043,14568125,14568124,20300493,24003432,17658451,12487209,8457777,5464920,4127752,4127751,6588515,7120384,4483147,2693607,2693451,1560387,1560386,2693448,4482862,7119961,8460389,5466511,5466510,8460384,12491305,14567370,10023982,6588093,6588094,6588251,4127587,2469071,1631449,1631452,2812319,2812522,4668628,6588301,4668366,4668364,7389648,8330168,12331252,12311229,12311230,14568174,10024644,6588566,6588563,10024270,14567780,14569662,10025774,10025773,10776332,10777746,7121267,4483704,2693930,1560679,887289,500639,500638,887283,1560667,2693908,4483654,4128183,4128181,6589231,10025744,14569624,15583237,10779902,7122738,7122737,10025601,6589359,6589360,7121204,7121206,4484484,2694428,2694425,4484473,7122422,10779366,14569823,14569822,20302393,14569767,10776145,10776146,15578159,14568159,10024631,7122589,7122587,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,4483584,2693879,2693877,4483592,7121079,7576856,4792253,4792252,7576851,10025851,14569376,10025572,6589127,6589117,6589116,10025550,14569342,10779405,7122460,4484498,4484499,7122468,10779422,10779507,7122516,7122514,10779501,15582650,21611839,15582746,10779575,7122557,4484549,4484548,7122550,10779563,15582726,21607082,15578604,10777762,10777761,11395754,15578508,15578506,15578325,15578324,21535453,20301893,20301892,21608617,21608618,21608602,15579936,15579935,21608597,22563292,24586112,21612096,15582883,10779670,10779669,14569325,14569324,20301923,27231205,28882986,28887912,28884473,28884474,28888020,21611772,21611770,28888014,36743373,28247471,28247472,28802059,21611940,15582737,15582736,15582708,15582709,15582721,21611916,28802068,28802070,23135685,23135687,29520949,22178450,16052780,11146224,11146222,16052790,22178592,28801884,22178547,22178546,21611851,21611852,28884569,28884567,37277838,28745258,28745257,29619951,29619952,28888215,22270511,22270508,29621782,28888241,21612123,15582899,10779678,10779677,15582894,21612117,28802020,21535615,15520717,15520716,21535610,28802017,28802049,28802050,37340047,37425195,47183885,37430035,37430036,31886783,24359578,24359579,29521060,22178570,16052776,11146212,7393011,4670648,4670647,7393009,11146206,16052768,21535515,15520662,15520663,21535521,21608700,28882943,28882942,37277868,37277869,47183872,37426753,29521149,22178701,16052879,11146276,7393036,4670661,2814004,2814003,4670657,7393030,11146257,16052848,16127876,11203602,7434046,7434045,11203598,11203654,7434085,7434086,11203660,16127977,22269103,29620099,29332512,29332513,23125565,23125563,22112594,16000445,11203706,11203708,16128053,22178534,29521020,28801967,21535567,15520688,10734161,10734160,15520685,21535556,28801951,30542210,30542208,38085498,29621589,22270293,22270292,29620151,29521201,22178769,16052933,11146321,7393054,7393053,11146316,16052837,16052836,22178653,28802012,29485649,29445462,28802161,21535752,15520798,10734218,10734217,15520793,21535741,16128346,16128345,22269508,23119064,16859430,16000439,11108062,7367191,7367190,11108056,16000427,15901826,15901828,22001785,28801956,21535560,16863120,11795030,11108137,11108136,16000564,22112738,29446134,22270314,16128874,11204195,11204194,16128868,22269153,29521194,22178765,22178764,22178750,16052919,16052920,16872024,11802846,11802844,16872016,23132251,22111826,22111824,22111704,15999609,11107511,11107510,15999605,22111693,22111748,29445310,29445311,22112657,16000492,11108089,7367203,4654149,4654148,7367198,11108077,16000473,22001788,29332534,29445056,22111351,22111046,15999100,15482620,10706558,10706560,15482628,21487080,22110922,22110919,22111394,22270302,22111706,22111707,29445366,23118898,16859293,11791736,7874069,7874068,11791728,16026088,22111078,29444823,38007766 Dl.O(d2) = 38109574,29546259,22202778,16073309,11161441,7403572,4677284,2817833,2817830,4677278,7403680,11161648,15564696,10765961,10765959,15565203,15565160,15072528,14343883,14343882,17458757,12307875,8313211,5364107,5364105,4324034,2587018,1491373,844499,844497,1491372,2587015,4324033,6887604,10447829,15148745,13915078,9550426,9550427,8240904,5312728,3262250,3262249,2848718,1652817,940091,940090,1652815,2848716,4728233,7481791,11270846,16213689,255130581,11767923,9956410,9956409,255333461,268176179,27063988,27070716,29004228,35140402,27054805,20161287,14463600,11767930,7856764,7856763,11767928,16828415,23080759,23079555,16827357,16827356,23079553,29086472,21789065,255413598,10894205,254505162,15897014,21995554,21717363,15673539,15673537,21717362,29003128,37548947,38811361,38811360,47456845,268617990,29003127,23714594,23714595,31202397,268927671,269363120,39250429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238744, s2 = 9107792, dlinesl.size( ) = 2 s1 = 9238744, s2 = 9107792, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9238744, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 9578444, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7691022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7691022, s2 = 11552030, int(edited[s2]) = 0 s1 = 7691022, s2 = 11552030, d1 = 230, d2 = 156 Dl.O(d1) = 272707661,264067121,263542605 Dl.O(d2) = 266192728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7691022, s2 = 11552030, dlinesl.size( ) = 68 s1 = 7094952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7094952, s2 = 11329956, int(edited[s2]) = 0 s1 = 7094952, s2 = 11329956, d1 = 26, d2 = 23 Dl.O(d1) = 262488031 Dl.O(d2) = 260637263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7094952, s2 = 11329956, dlinesl.size( ) = 18 s1 = 4212600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4691723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8631589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7095556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7095556, s2 = 16149224, int(edited[s2]) = 0 s1 = 7095556, s2 = 16149224, d1 = 14, d2 = 3 Dl.O(d1) = 262498595,181357199,190166022,197771423,204251334,209656820,214091758,264879552,209656815,204251332,197771422,197771423,204251334,209656821,214091761,217733158,265099430,217733147,264635998,204251335,209656823,214091764,214091754,214091755,214091753,214091752,217733137,217733136,220772146,220772154,223359704,225596980,225596988,223359713,223359714,225596982,223359709,220772161,217733152,217733153,220772153,217733163,264635998,204251335,209656823,214091764,214091754,214091755,214091753,209656817,204251332,204251331,209656814,214091748,217733140,220772147,223359700,225596973,227542931,229244855,230749200,232090331,233298412,234392176,235386831,236293234,237121214,237876851,266768807,239197247,239777470,239210586,238583125,237897011 Dl.O(d2) = 190258108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7095556, s2 = 16149224, dlinesl.size( ) = 2 s1 = 7095556, s2 = 16149224, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7095556, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 7095613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9696693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9696693, s2 = 4692386, int(edited[s2]) = 0 s1 = 9696693, s2 = 4692386, d1 = 0, d2 = 0 Dl.O(d1) = 237893369,237137834,236308203,235399999,234404348,274617940,232102925,265940426,229260054,265653874,225616884,223382493,220798067,217763326,214127276,209698297,204298696,197824774,190225665,181426036,171407007,160188854,147940117,134820328,121022255,106768298,92462538,92462534,78426310,78426309,92462533,106768293,121022252,134820325,147940115,160188853,171407006,181426034,190225663,197824771,204298693,209698295,214127272,209698287,209698286,204298684,197824764,190225659,263374920,181426033,171407005,171407006,181426035,190225664,197824773,204298695,209698295,209698290,204298687,197824768,197824767,204298686,209698289,214127274,217763324,265307333,220798065,265110848,264931406,218819646,215434537,211338331,206326099,200264602,193087652,184724908,175147685,261009370,139766695,126391305,258553312,84601306,71037144,58321513,46954348,37074165,28571114,21343112,21343109,15368310,254730991,254730989,15368307,21343106,28571108,37074161,46954344,58321507,71037142,84601301,98526100,112520879,126391303,139766694,152487350,164354850,175147683,184724907,176007074,165313076,153519543,140840810,127482416,113608181,259979982,59321208,47928898,38014692,29452548,22118697,255886667,38014691,47928897,59321207,72055733,85642937,99592915,113608180,127482414,140840809,153519542,165313075,176007071,185480275,193747365,200836991,206820133,211764240,215804435,219146018,221133893,218198802,214703994,210455671,205256073,198972788,191541105,182893940,172992374,262055466,261521830,122283990,120836939,259109516,64989646,53014561,53014560,64989644,53094649,42644611,42644610,257821549,78360086,259695783,120949989,134745841,147866116,160118936,171343837,181370817,190177814,197781476,264375099,214098730,217739186,220777402,223364371,225600944,227546226,226112313,223972901,221502593,218620485,215195958,211038682,205951450,199799014,192521811,263065343,163571302,151692133,138988506,125650407,111835197,97901934,259259567,70497328,57796619,46441495,36576367,28104449,20928127,15019867,15019866,20928124,256171064,22708106,255446191,7338586,7338585,11067684,15948666,21642128,15610240,11033988,11033986,15912275,22013726,16220166,16220165,22375989,29373357,22042410,22042412,29368742,29392190,37957046,37956326,256068690,16022452,16022453,18049020,18049019,18757979,13356923,9381376,9381375,13697920,19181240,13697809,13697808,19181238,14587811,10037707,10037708,7034856,7034855,10653661,15412534,18051057,19181658,24471307,24471308,18446752,18446750,24965519,24965486,18446713,13103871,13103872,14588179,10038040,10038043,10037826,10037827,10692711,7064128,7064127,10692707,10661303,7040756,7040755,10661298,12711549,8636609,5616635,3489049,3489048,5616630,8636601,12711512,10038018,10038019,9128351,5973599,5973598,6596752,6596775,6596776,10038070,8636579,8636580,12711500,8700176,8700175,12796662,9381272,6145907,5663070,5663069,4132662,2472137,1429029,812978,812979,1429033,1429074,1429073,2472217,2472223,4132802,6596765,10037762,14587781,10037987,10037985,254697801,4132786,4132784,5650377,5650375,4132644,2472127,1429025,1429026,2472129 Dl.O(d2) = 237893369,237137834,236308203,235399999,234404348,274617940,232102925,265940426,229260054,265653874,225616884,223382493,220798067,217763326,214127276,209698297,204298696,197824774,190225665,181426036,171407007,160188854,147940117,134820328,121022255,106768298,92462538,92462534,78426310,78426309,92462533,106768293,121022252,134820325,147940115,160188853,171407006,181426034,190225663,197824771,204298693,209698295,214127272,209698287,209698286,204298684,197824764,190225659,263374920,181426033,171407005,171407006,181426035,190225664,197824773,204298695,209698295,209698290,204298687,197824768,197824767,204298686,209698289,214127274,217763324,265307333,220798065,265110848,264931406,218819646,215434537,211338331,206326099,200264602,193087652,184724908,175147685,261009370,139766695,126391305,258553312,84601306,71037144,58321513,46954348,37074165,28571114,21343112,21343109,15368310,254730991,254730989,15368307,21343106,28571108,37074161,46954344,58321507,71037142,84601301,98526100,112520879,126391303,139766694,152487350,164354850,175147683,184724907,176007074,165313076,153519543,140840810,127482416,113608181,259979982,59321208,47928898,38014692,29452548,22118697,255886667,38014691,47928897,59321207,72055733,85642937,99592915,113608180,127482414,140840809,153519542,165313075,176007071,185480275,193747365,200836991,206820133,211764240,215804435,219146018,221133893,218198802,214703994,210455671,205256073,198972788,191541105,182893940,172992374,262055466,261521830,122283990,120836939,259109516,64989646,53014561,53014560,64989644,53094649,42644611,42644610,257821549,78360086,259695783,120949989,134745841,147866116,160118936,171343837,181370817,190177814,197781476,264375099,214098730,217739186,220777402,223364371,225600944,227546226,226112313,223972901,221502593,218620485,215195958,211038682,205951450,199799014,192521811,263065343,163571302,151692133,138988506,125650407,111835197,97901934,259259567,70497328,57796619,46441495,36576367,28104449,20928127,15019867,15019866,20928124,256171064,22708106,255446191,7338586,7338585,11067684,15948666,21642128,15610240,11033988,11033986,15912275,22013726,16220166,16220165,22375989,29373357,22042410,22042412,29368742,29392190,37957046,37956326,256068690,16022452,16022453,18049020,18049019,18757979,13356923,9381376,9381375,13697920,19181240,13697809,13697808,19181238,14587811,10037707,10037708,7034856,7034855,10653661,15412534,18051057,19181658,24471307,24471308,18446752,18446750,24965519,24965486,18446713,13103871,13103872,14588179,10038040,10038043,10037826,10037827,10692711,7064128,7064127,10692707,10661303,7040756,7040755,10661298,12711549,8636609,5616635,3489049,3489048,5616630,8636601,12711512,10038018,10038019,9128351,5973599,5973598,6596752,6596775,6596776,10038070,8636579,8636580,12711500,8700176,8700175,12796662,9381272,6145907,5663070,5663069,4132662,2472137,1429029,812978,812979,1429033,1429074,1429073,2472217,2472223,4132802,6596765,10037762,14587781,10037987,10037985,254697801,4132786,4132784,5650377,5650375,4132644,2472127,1429025,1429026,2472129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9696693, s2 = 4692386, dlinesl.size( ) = 2 s1 = 9696693, s2 = 4692386, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9696693, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14904320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14904320, s2 = 9707855, int(edited[s2]) = 0 s1 = 14904320, s2 = 9707855, d1 = 11, d2 = 11 Dl.O(d1) = 41752837,268484379,5874299,254295413,129653,139856,254073513,41511,23041,23042,24172,13501,7439,3970,2058,2059,254073785,144346,260091,461055,813365,1429700,2473301,4134591,6599698,10042723,14595023,20336388,27272114,35398516,30847922,30847921,33160038,26593950,19788553,19788554,23751077,23751076,20223119,20223118,27128163,27209404,20281256,14552172,10013338,10013337,14552452,20281599,24807735,31592421,24089114,17731647,16601601,16601603,267752168,17023181,13744892,9417261,9417259,13422329,9177047,6006455,6006456,3757641,2250840,2250839,2194884,2191189,1271900,726829,726828,1271899,2191188,1300294,741934,741933,1273316,743912,729002,729001,1272608,792417,792418,254680337,14170486,268329151,58302440,46936412,255828740,28557397,37058076,259295319,91871282,77946765,64752561,64752562,77946768,70885577,257544184,28427089,21203482,15237715,10511565,10511567,15237719,19590788,16575765,11556776,11556775,16575764,16794364,11742669,7840012,7606740,4812369,2900245,2900247,4812375,7606754,11439435,12323447,16411109,13439580,13439581,13558934,17478823,12323456,12323457,17478834,16423924,11439942,7607149,4812639,4812638,7607142,11439928,16423902,14919560,10259168,6741572,6741573,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887102,22887099,20796728,20796726,21468116,20796734,20796733,22581315,16398858,11415311,7586373,7586372,11415309,16398856,19585668,26310591,25113513,22163821,16041823,11138775,7388214,5308880,5308881,7212951,10906010,15746776,15790849,10940233,7239081,7239080,10940230,15790841,14088930,9690570,9690571,14088933,17115939,14378631,11998527,11998526,17086072,21480997,15477785,15477786,21481001,28738676,29520386,22177939,16052242,11145841,7911518,7911519,11145791,7392753,7392750,11145778,16052161,22177875,18565251,13192766,8993654,8993653,13192764,18565247,20804207,20804209,256300504,10994244,15862123,21952999,29276908,29986921,29986922,38556498,40407713,33504708,25726486,19095059,19095058,25726484,257812867,78034728,65948026,53880984,257821551,257821549,78360085,259695783,120949988,134745840,147866116,160118935,171343837,273459043,190177814,197781477,264375099,214098729,217739186,220777403,223364371,225600945,227546226,226112314,223972901,221502594,218620485,215195959,211038682,205951451,199799014,192521812,263065343,163571303,151692133,138988507,125650407,111835198,97901934,84032106,70497328,57796618,46441495,36576368,28104449,20928126,15019867,10347460,10347461,15019868,255793221,36576370,269297859,258234372,53021972,42581561,33564510,27087268,20189293,14485843,9966972,6550510,5844935,5812878,5812877,8907657,13071939,18403481,255970180 Dl.O(d2) = 41752837,268484379,5874299,254295413,129653,139856,254073513,41511,23041,23042,24172,13501,7439,3970,2058,2059,254073785,144346,260091,461055,813365,1429700,2473301,4134591,6599698,10042723,14595023,20336388,27272114,35398516,30847922,30847921,33160038,26593950,19788553,19788554,23751077,23751076,20223119,20223118,27128163,27209404,20281256,14552172,10013338,10013337,14552452,20281599,24807735,31592421,24089114,17731647,16601601,16601603,267752168,17023181,13744892,9417261,9417259,13422329,9177047,6006455,6006456,3757641,2250840,2250839,2194884,2191189,1271900,726829,726828,1271899,2191188,1300294,741934,741933,1273316,743912,729002,729001,1272608,792417,792418,254680337,14170486,268329151,58302440,46936412,255828740,28557397,37058076,259295319,91871282,77946765,64752561,64752562,77946768,70885577,257544184,28427089,21203482,15237715,10511565,10511567,15237719,19590788,16575765,11556776,11556775,16575764,16794364,11742669,7840012,7606740,4812369,2900245,2900247,4812375,7606754,11439435,12323447,16411109,13439580,13439581,13558934,17478823,12323456,12323457,17478834,16423924,11439942,7607149,4812639,4812638,7607142,11439928,16423902,14919560,10259168,6741572,6741573,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887102,22887099,20796728,20796726,21468116,20796734,20796733,22581315,16398858,11415311,7586373,7586372,11415309,16398856,19585668,26310591,25113513,22163821,16041823,11138775,7388214,5308880,5308881,7212951,10906010,15746776,15790849,10940233,7239081,7239080,10940230,15790841,14088930,9690570,9690571,14088933,17115939,14378631,11998527,11998526,17086072,21480997,15477785,15477786,21481001,28738676,29520386,22177939,16052242,11145841,7911518,7911519,11145791,7392753,7392750,11145778,16052161,22177875,18565251,13192766,8993654,8993653,13192764,18565247,20804207,20804209,256300504,10994244,15862123,21952999,29276908,29986921,29986922,38556498,40407713,33504708,25726486,19095059,19095058,25726484,257812867,78034728,65948026,53880984,257821551,257821549,78360085,259695783,120949988,134745840,147866116,160118935,171343837,273459043,190177814,197781477,264375099,214098729,217739186,220777403,223364371,225600945,227546226,226112314,223972901,221502594,218620485,215195959,211038682,205951451,199799014,192521812,263065343,163571303,151692133,138988507,125650407,111835198,97901934,84032106,70497328,57796618,46441495,36576368,28104449,20928126,15019867,10347460,10347461,15019868,255793221,36576370,269297859,258234372,53021972,42581561,33564510,27087268,20189293,14485843,9966972,6550510,5844935,5812878,5812877,8907657,13071939,18403481,255970180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14904320, s2 = 9707855, dlinesl.size( ) = 2 s1 = 14904320, s2 = 9707855, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14904320, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 9458004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165734, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11659716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9590646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8554490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8554490, s2 = 10263967, int(edited[s2]) = 0 s1 = 8554490, s2 = 10263967, d1 = 24, d2 = 27 Dl.O(d1) = 260914467 Dl.O(d2) = 262774164,191674122,183065526,173215113,162115560,259451882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8554490, s2 = 10263967, dlinesl.size( ) = 48 s1 = 4695407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4695407, s2 = 9539060, int(edited[s2]) = 0 s1 = 4695407, s2 = 9539060, d1 = 31, d2 = 33 Dl.O(d1) = 190322728,263375549,171545600,171545601,171545591,171545592,181544363,171545600,171545601,171545593,262964193,160342966,160342967,262964195,262964191 Dl.O(d2) = 134977659,272407891,160342950,160342957,148099800,134977657,260321951,270557815,78535302,259705919,272030395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4695407, s2 = 9539060, dlinesl.size( ) = 2 s1 = 4695407, s2 = 9539060, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4695407, Dl.E( ) = 38, 1.1e-05 seconds used appending s1 = 4826610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4695743, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9548608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4552840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2733306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4554297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4554297, s2 = 13911074, int(edited[s2]) = 0 s1 = 4554297, s2 = 13911074, d1 = 7, d2 = 7 Dl.O(d1) = 182369605,191076953,198571641,204922661,210186568,214490622,218028382,220995219,223532453,225731231,227647980,229327761,230816964,230816961,229327758,229327759,230816962,266184219,232148294,230816961,229327758,265622932,225731231,227647980,229327761,230816963,232148296,233349517,266388541,236334620,237161680,237914760,238599214,266819578,239225446,239225441,239225440,239225439,266693452,237161676,236334618,236334619,237161678,237914758,238599212,239225444,239801113,239801111 Dl.O(d2) = 182369605,191076953,198571641,204922661,210186568,214490622,218028382,220995219,223532453,225731231,227647980,229327761,230816964,230816961,229327758,229327759,230816962,266184219,232148294,230816961,229327758,265622932,225731231,227647980,229327761,230816963,232148296,233349517,266388541,236334620,237161680,237914760,238599214,266819578,239225446,239225441,239225440,239225439,266693452,237161676,236334618,236334619,237161678,237914758,238599212,239225444,239801113,239801111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4554297, s2 = 13911074, dlinesl.size( ) = 2 s1 = 4554297, s2 = 13911074, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4554297, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 1911645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1911645, s2 = 9693694, int(edited[s2]) = 0 s1 = 1911645, s2 = 9693694, d1 = 0, d2 = 0 Dl.O(d1) = 116069509,129975997,129976076,116069584,116069583,261299763,262661217,152666088,152666087,164510988,164510989,152666090,139967236,139967235,152666089,152666085,152666086,152666091,139967239,126613013,259930673,98767341,112757308,126613010,126613005,126613006,271306819,98767345,84840134,71265956,71265957,84840127,98767340,98767342,89173552,75426063,258727404,103263238,117392312,131195264,144425619,156835956,153231458,144425641,144425642,271793858,127203883,140529466,127182866,260971158,85374990,71785509,59043626,59043625,71785507,85374993,91315361,91315360,105533332,104017757,89892081,76090687,63089826,63089825,76090685,89892079,104017755,98710714,84782521,71213505,58491758,256861730,48555812,47814684,38640953,38640954,48555733,257286636,52453321,42100884,33146959,25406616,18816236,13404667,9164404,9164405,13404669,18816240,24312896,17927581,17927582,24312902,21069941,21069942,28272955,33146862,25406546,18816208,18816207,25406483,25406484,33146777,28877686,28877685,34626904,34626905,256046546,256971701,30066162,30066163,36768019,46652562,36768134,28273065,28273066,36767941,36767942,38640798,38640799,48555615,46902959,37025334,37025335,33043637,33043636,41987438,52327843,59384946,59384945,71802135,59061392,47661172,37739312,29178461,29178460,37739311,47254354,47254382,258038499,46867204,36988742,36988741,37344984,28806891,28806890,37344981,30796828,30796831,39399884,30796924,23370447,23370448,30796905,23370440,23370441,30796909,39399982,49328227,60730201,60730203,50503184,40467186,31772324,31772325,256046570,31780270,40474909,50510192,60730150,62001604,60053590,48657142,48657141,49076320,49076319,49076336,39146630,32194307,255615881,12875725,12875726,18157293,24605943,32194311,31777924,24265432,17886856,12669435,12669434,17886853,24265429,31777919,31777862,31777861,40472520,50507880,49325201,49325199,60727356,50507885,40472528,31777897,31777889,31777888,31777937,24265438,24265439,31777939,31777945,24265444,17886862,17886863,24265447,31777949,40472593,37836576,29270441,29270440,23368275,23368276,24265581,24265582,31778096,31749376,24238233,24238234,24265385,24240830,17865080,17865079,24240719,31752552,255594646,12669596,12669597,17887014,17886784,12669363,254616708,3468516,2056706,2056705,3468534,5578925,5578926,5590999,8603894,12669528,17863169,12649888,8588795,8588797,5581426,3463043,3463044,5581429,8589654,5590976,5590975,5591015,3468622,2056777,2056778,3463070,2053769,2053768,3463068,5581457,8589690,12649917,8588818,8588819,12649922,12649855,8588765,5580850,3462630,2053436,1178056,1178057,661627,366857,254069288,109355,109917,109515,60074,60070,109508,200987,367301,662439,367686,254081052,662602,367426,367427,662604,1179983,2056861,2056711,1179888,662534,662535,1179891,2056712,254282902,2057422,3469473,5578752,254193534,8605623,8605624,12671931,12644478,12644479,12671933,12669947,12644463,8585412,5578699,3461244,2052532,1177463,661016,661018,1177467,2052539,2056214,2056213,3467738,5589541,3468735,2056854,2056855,3468740,5581528,5589557,5589556,8589415,5591184,5591185,5592221,5580924,5580925,5578755,267746816,3461267,3461266,5578739,8585458,5591192,5591193,8604185,8605628,12644504,12644505,12669870,12651313,8589718,5581483,5581481,5578701,254282875,2052528,3461240,5578705,8585418,12644474,17854758,17887348,24265989,31752642,254420220,40447909,31778545,31752413,29277818,21953767,255875331,29277731,29277730,37844738,255201332,31752368,40447553,50484032,61976407,65992391,257270149,256189889,19684478,14112702,9708661,6386579,4007683,4007685,3873094,2319311,1344523,1344526,1344209,1344213,1344236,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344232,1385218,1385220,2341823,2341822,3911580,6248174,9525473,13883208,19406206,257247913,65476531,78806639,259718485,121698249,135642012,148890272,262530699,182370884,191078138,198572794,204923832,210187718,264901281,265118987,220996259,220996260,223533408,225732117,227648848,229328594,230817752,232148979,232005974,230655948,229140699,227425361,265109378,220604667,217541731,213872473,209403324,263372364,189759879,180864277,170722026,260911574,133724314,119845386,105604312,91379572,77454598,64298226,52437063,52437062,64298225,77454596,91379570,95206077,81148741,67682607,67682608,81148743,95206081,88602136,259435368,50643391,62150439,74960357,88602137,102609570,116707578,128786181,128786182,142139319,142139321,128786183,114890511,114890512,128786185,142139324,154771497,142497051,142497050,142497052,129119589,115187646,115187645,101109409,87111305,73492624,60743587,49340417,39410858,39410859,49340418,43936959,34663160,26670353,19853873,19853874,26670357,34663165,43936969,257290379,66935781,75019784,76673277,76673275,85566635,88668683,256888552,75019834,75019833,88668711,75019841,75019842,88668716,102677078,116771252,102677063,88668673,85114481,85114479,73492602,60743572,49340396,49340395,60743571,72934816,84993675,71420440,58687278,47844990,37925140,29358906,25049487,18513002,18513003,25049491,18513098,18513097,25049606,25049604,22028508,22028506,22028532,22028579,22028511,15927553,11050681,11050682,15927555,22028505,22028504,29358888,29358975,25049749,22028548,15927507,11050656,11050653,13153540,8965507,5852736,5852734,8965502,13153536,18513105,13153574,13153573,18513151,22028534,22028533,25049707,18513205,255639961,15927511,15927512,15927494,15927460,15927461,13153526,13153525,18513043,25049454,18513214,13153616,8965542,8965543,13153619,18513216,25049550,18513209,15662349,15662348,21703320,25049465,25049464,21438645,21438646,25049510,25049511,25049527,32739479,32739745,32739744,41648833,41648834,32739748,256100867,25049786,25049431,25049432,31838020,25049548,25049549,32739502,40536310,40536308,41649154,41648832,41648831,32739472,256614779,50572737,50572738,40536525,33612560,31838649,24319432,24319431,31838647,26243579,19526493,13979540,9601581,9601580,8632755,8632756,12706229,17932613,24319471,31838679,31838329,24319151,17932412,17932413,24319155,31838071,24318956,24318955,17932502,12706173,12706172,17932501,24319138,31838305,31838271,24319384,17932560,12706202,8632743,5613711,3486916,2070787,2070786,3486913,5613702,8632723,12706164,17932483,24319278,31838275,31838276,40536246,31838415,31838416,40536362,50572677,46723257,40536260,31838568,31838569,31838567,31838566,31838384,24319190,24319189,31838381,40536337,50572688,40952902,36840503,36840504,37395474,28854800,21582210,21582211,28854802,37395477,257459623,269787683,52772950,42373962,33385032,33385033,42373964,47439981,37532060,37532059,42373825,33384910,33384909,42373807,33384913,268751833,52772835,64687104,77876606,77876602,77876603,91798956,105993559,120194196,134027685,147244767,139667327,139667328,258928992,98443830,98443831,112432579,126296247,139667338,128717434,114817494,260057535,100765429,100765430,114817486,100765438,86784675,73172130,73172131,86784678,73172132,258816523,100282425,258816542,73264111,60518835,60518836,73264112,86876200,100856915,104881541,104881542,119067153,127462783,259363468,99570201,113586668,113586669,127462769,127462776,113586675,258738246,85619674,99570199,113586679,127462772,127462773,140822896,140822886,127462757,127462758,127462794,113586688,113586689,127462791,127462790,140822907,153209528,140527121,140527120,127462765,113586665,113586666,127462768,127462778,127462779,140822899,153503789,165299368,153503780,140822892,129232686,115304530,101226303,101226302,115304528,129232682,142603262,142603263,155240315,155240336,142603275,261808227,166925311,166925317,166925318,155240375,142603301,129232704,115304545,101226315,87225309,87225308,101226313,115304543,129232701,142603296,154151536,141485932,128124601,128124600,141485931,154151533 Dl.O(d2) = 116069509,129975997,129976076,116069584,116069583,261299763,262661217,152666088,152666087,164510988,164510989,152666090,139967236,139967235,152666089,152666085,152666086,152666091,139967239,126613013,259930673,98767341,112757308,126613010,126613005,126613006,271306819,98767345,84840134,71265956,71265957,84840127,98767340,98767342,89173552,75426063,258727404,103263238,117392312,131195264,144425619,156835956,153231458,144425641,144425642,271793858,127203883,140529466,127182866,260971158,85374990,71785509,59043626,59043625,71785507,85374993,91315361,91315360,105533332,104017757,89892081,76090687,63089826,63089825,76090685,89892079,104017755,98710714,84782521,71213505,58491758,256861730,48555812,47814684,38640953,38640954,48555733,257286636,52453321,42100884,33146959,25406616,18816236,13404667,9164404,9164405,13404669,18816240,24312896,17927581,17927582,24312902,21069941,21069942,28272955,33146862,25406546,18816208,18816207,25406483,25406484,33146777,28877686,28877685,34626904,34626905,256046546,256971701,30066162,30066163,36768019,46652562,36768134,28273065,28273066,36767941,36767942,38640798,38640799,48555615,46902959,37025334,37025335,33043637,33043636,41987438,52327843,59384946,59384945,71802135,59061392,47661172,37739312,29178461,29178460,37739311,47254354,47254382,258038499,46867204,36988742,36988741,37344984,28806891,28806890,37344981,30796828,30796831,39399884,30796924,23370447,23370448,30796905,23370440,23370441,30796909,39399982,49328227,60730201,60730203,50503184,40467186,31772324,31772325,256046570,31780270,40474909,50510192,60730150,62001604,60053590,48657142,48657141,49076320,49076319,49076336,39146630,32194307,255615881,12875725,12875726,18157293,24605943,32194311,31777924,24265432,17886856,12669435,12669434,17886853,24265429,31777919,31777862,31777861,40472520,50507880,49325201,49325199,60727356,50507885,40472528,31777897,31777889,31777888,31777937,24265438,24265439,31777939,31777945,24265444,17886862,17886863,24265447,31777949,40472593,37836576,29270441,29270440,23368275,23368276,24265581,24265582,31778096,31749376,24238233,24238234,24265385,24240830,17865080,17865079,24240719,31752552,255594646,12669596,12669597,17887014,17886784,12669363,254616708,3468516,2056706,2056705,3468534,5578925,5578926,5590999,8603894,12669528,17863169,12649888,8588795,8588797,5581426,3463043,3463044,5581429,8589654,5590976,5590975,5591015,3468622,2056777,2056778,3463070,2053769,2053768,3463068,5581457,8589690,12649917,8588818,8588819,12649922,12649855,8588765,5580850,3462630,2053436,1178056,1178057,661627,366857,254069288,109355,109917,109515,60074,60070,109508,200987,367301,662439,367686,254081052,662602,367426,367427,662604,1179983,2056861,2056711,1179888,662534,662535,1179891,2056712,254282902,2057422,3469473,5578752,254193534,8605623,8605624,12671931,12644478,12644479,12671933,12669947,12644463,8585412,5578699,3461244,2052532,1177463,661016,661018,1177467,2052539,2056214,2056213,3467738,5589541,3468735,2056854,2056855,3468740,5581528,5589557,5589556,8589415,5591184,5591185,5592221,5580924,5580925,5578755,267746816,3461267,3461266,5578739,8585458,5591192,5591193,8604185,8605628,12644504,12644505,12669870,12651313,8589718,5581483,5581481,5578701,254282875,2052528,3461240,5578705,8585418,12644474,17854758,17887348,24265989,31752642,254420220,40447909,31778545,31752413,29277818,21953767,255875331,29277731,29277730,37844738,255201332,31752368,40447553,50484032,61976407,65992391,257270149,256189889,19684478,14112702,9708661,6386579,4007683,4007685,3873094,2319311,1344523,1344526,1344209,1344213,1344236,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344232,1385218,1385220,2341823,2341822,3911580,6248174,9525473,13883208,19406206,257247913,65476531,78806639,259718485,121698249,135642012,148890272,262530699,182370884,191078138,198572794,204923832,210187718,264901281,265118987,220996259,220996260,223533408,225732117,227648848,229328594,230817752,232148979,232005974,230655948,229140699,227425361,265109378,220604667,217541731,213872473,209403324,263372364,189759879,180864277,170722026,260911574,133724314,119845386,105604312,91379572,77454598,64298226,52437063,52437062,64298225,77454596,91379570,95206077,81148741,67682607,67682608,81148743,95206081,88602136,259435368,50643391,62150439,74960357,88602137,102609570,116707578,128786181,128786182,142139319,142139321,128786183,114890511,114890512,128786185,142139324,154771497,142497051,142497050,142497052,129119589,115187646,115187645,101109409,87111305,73492624,60743587,49340417,39410858,39410859,49340418,43936959,34663160,26670353,19853873,19853874,26670357,34663165,43936969,257290379,66935781,75019784,76673277,76673275,85566635,88668683,256888552,75019834,75019833,88668711,75019841,75019842,88668716,102677078,116771252,102677063,88668673,85114481,85114479,73492602,60743572,49340396,49340395,60743571,72934816,84993675,71420440,58687278,47844990,37925140,29358906,25049487,18513002,18513003,25049491,18513098,18513097,25049606,25049604,22028508,22028506,22028532,22028579,22028511,15927553,11050681,11050682,15927555,22028505,22028504,29358888,29358975,25049749,22028548,15927507,11050656,11050653,13153540,8965507,5852736,5852734,8965502,13153536,18513105,13153574,13153573,18513151,22028534,22028533,25049707,18513205,255639961,15927511,15927512,15927494,15927460,15927461,13153526,13153525,18513043,25049454,18513214,13153616,8965542,8965543,13153619,18513216,25049550,18513209,15662349,15662348,21703320,25049465,25049464,21438645,21438646,25049510,25049511,25049527,32739479,32739745,32739744,41648833,41648834,32739748,256100867,25049786,25049431,25049432,31838020,25049548,25049549,32739502,40536310,40536308,41649154,41648832,41648831,32739472,256614779,50572737,50572738,40536525,33612560,31838649,24319432,24319431,31838647,26243579,19526493,13979540,9601581,9601580,8632755,8632756,12706229,17932613,24319471,31838679,31838329,24319151,17932412,17932413,24319155,31838071,24318956,24318955,17932502,12706173,12706172,17932501,24319138,31838305,31838271,24319384,17932560,12706202,8632743,5613711,3486916,2070787,2070786,3486913,5613702,8632723,12706164,17932483,24319278,31838275,31838276,40536246,31838415,31838416,40536362,50572677,46723257,40536260,31838568,31838569,31838567,31838566,31838384,24319190,24319189,31838381,40536337,50572688,40952902,36840503,36840504,37395474,28854800,21582210,21582211,28854802,37395477,257459623,269787683,52772950,42373962,33385032,33385033,42373964,47439981,37532060,37532059,42373825,33384910,33384909,42373807,33384913,268751833,52772835,64687104,77876606,77876602,77876603,91798956,105993559,120194196,134027685,147244767,139667327,139667328,258928992,98443830,98443831,112432579,126296247,139667338,128717434,114817494,260057535,100765429,100765430,114817486,100765438,86784675,73172130,73172131,86784678,73172132,258816523,100282425,258816542,73264111,60518835,60518836,73264112,86876200,100856915,104881541,104881542,119067153,127462783,259363468,99570201,113586668,113586669,127462769,127462776,113586675,258738246,85619674,99570199,113586679,127462772,127462773,140822896,140822886,127462757,127462758,127462794,113586688,113586689,127462791,127462790,140822907,153209528,140527121,140527120,127462765,113586665,113586666,127462768,127462778,127462779,140822899,153503789,165299368,153503780,140822892,129232686,115304530,101226303,101226302,115304528,129232682,142603262,142603263,155240315,155240336,142603275,261808227,166925311,166925317,166925318,155240375,142603301,129232704,115304545,101226315,87225309,87225308,101226313,115304543,129232701,142603296,154151536,141485932,128124601,128124600,141485931,154151533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1911645, s2 = 9693694, dlinesl.size( ) = 2 s1 = 1911645, s2 = 9693694, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 1911645, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13498463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4699121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4399206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8698482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13785037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13785037, s2 = 3064812, int(edited[s2]) = 0 s1 = 13785037, s2 = 3064812, d1 = 11, d2 = 4 Dl.O(d1) = 182519592,172585720,161404106,149117213,149117214,161404108,172585721,172585717,172585718,182519589,191206765,198685684,198685686,198685685,205021290,264664569,210270597,214560154,216803171,212926820,208185190,208185189,202435702,195593128,195593127,202435700,264270164,195593129,195593130,202435705,208185194,212926825,274217199,225057599,227081642,265747322,274287524 Dl.O(d2) = 94867362,94867363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13785037, s2 = 3064812, dlinesl.size( ) = 2 s1 = 13785037, s2 = 3064812, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13785037, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 15054773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4556708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8633525, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4830692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4830692, s2 = 13294616, int(edited[s2]) = 0 s1 = 4830692, s2 = 13294616, d1 = 405, d2 = 503 Dl.O(d1) = 198717698,263939248 Dl.O(d2) = 26230545,19514831,19514830,26230544,34092419,43176255,53686833,65742992,74078802,70194002,70194001,83715765,85755906,79098907,65742985,53686826,53686827,65742987,79098909,86295678,84578403,71013674,62998118,62998117,75980859,89759630,270598166,70193718,70193717,70193713,256707536,58091119,46719319,46719320,58091121,268794418,58091138,46719332,46719333,58091141,58298471,46932357,37053949,256855387,58298473,71013822,84578530,89759652,75980873,75980872 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7091624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7091624, s2 = 6631984, int(edited[s2]) = 0 s1 = 7091624, s2 = 6631984, d1 = 73, d2 = 90 Dl.O(d1) = 262449544 Dl.O(d2) = 137348775,123616228,109422129,95165689,81107039,67641002,55302644,256744651,26998291,20107816,255329093,9916652,269075104,3756218,2249675,2249674,3756216,5371516,3302272,1942256,1109459,622628,346034,254105785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7091624, s2 = 6631984, dlinesl.size( ) = 2 s1 = 7091624, s2 = 6631984, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7091624, Dl.E( ) = 122, 4.7e-05 seconds used appending s1 = 14165206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165206, s2 = 14536921, int(edited[s2]) = 0 s1 = 14165206, s2 = 14536921, d1 = 5, d2 = 17 Dl.O(d1) = 3978705,6341753,9645547,14030163,19583679,26308586,33388398,33388397,42377102,47035310,42377086,33388389,33388390,42377089,52775983,64690055,64690067,64690066,64690061,64690060,77879622,91801904,84689817 Dl.O(d2) = 91138014,105356310,119587484,133452289,133452290,142193781,142193782,142193783,261123318,177110302,177109136,177109137,186459960,186459963,186459961,177109139,166531511,261470396,128833619,128833620,142190779,154826485,142190795,128833634,128833633,122185975,107781837,93360550,79233248,79233247,93360547,107781832,119960558,105724768,91500134,77568905,77568906,91500137,105724772,107781847,93360556,91500138,91500139,105724773,119960566,122185981,107781842,107781843,122185953,122185954,122185978,136147575,149396741,136147557,136147558,149396743,161687393,172845674,181359943,171331717,161687390,149396740,136147556,122185959,122185958,136147554,149396738,160105812,160105813,171331701,181359928,190168426,182745411,182745404,182745403,191398469,182745413,182745412,191398474,190168414,190168413,190168451,190168405,181359908,171331686,171331687,181359910,190168409,197773634,197773633,197773634,260904996,172845656,172845655,172845643,172845645,182745387,182745390,191398456,198844919,191398449,182745384,182745383,191398446,191398447,262498842,165430479,165430481,176112439,185576741,193835902,185576728,176112432,165430478,153649699,153649698,153649701,165430482,263148299,165430380,165430379,176112325,185576623,176112323,165430378,153649593,153649592,140982655,127633806,113765434,99751199,85797232,72202992,59465132,48074235,38161426,255897069,16109025,11189391,7424286,4691512,2826830,1640111,932619,932620,1640113,2826833,4691520,7424298,11189410,16109060,22246288,29595065,38161507,48074318,59465185,59465217,59465234,72203103,258748861,59465231,48074320,48074319,59465230,72203099,85797330,99751306,113765558,127633914,260526276,109771972,95571803,81541352,68054546,68054549,81541357,84725537,71155887,71155886,258678734,258044004,37167748,44749526,44749525,55657742,68054545,58434357,47059267,257443053,68054559,68054560,71155892,58434350,257433910,28650665,28650667,37167740,47059263,58434348,47059258,37167737,28650662,21408113,21408111,28650658,21408119,21408120,28650674,35323389,27199573,20272825,14545440,14545439,20272823,27199569,35323385,44749522,37167687,37167688,28650678,21408121,21408122,21408115,21408114,28650664,27199567,27199568,20272827,14545442,14545441,15419982,10659508,7039298,7039299,6577042,6577041,268071630,15419972,255832803,21408108,28650653,28650654,268613315,21408106,21408107,28650652,28650649,28650628,28650627,37167696,28650624,256323419,47059202,37167731,37167730,30369798,22968264,22968265,30369801,38955926,48875460,60267727,73002676,73002675,71155827,58434280,257862151,43354192,34254215,34254216,43354194,53879058,65946495,65946494,270598123,65946491,65946490,79310795,93441600,259718776,79310354,270575046,113017322,99029848,257841242,257248184,85105507,85105499,85105498,85105505,71534425,71534426,85105501,71534417,255702996,268035668,28966969,37510378,47418165,58805400,63020040,51339104,41153944,32338754,24722641,24722640,32338753,41153941,41153949,32338758,24722643,18249569,12946617,12946618,254958356,24726563,19321488,19321489,24367587,18613883,13231831,13231832,14112263,14112265,13109017,12903936,9184864,8934701,254115186,18454115,24974318,25516695,25516696,33277066,42256697,41533539,41533538,51812681,63600084,63600087,63600086,76688579,90554766,91650530,86700442,73097019,60358854,257001533,255956991,255128643,7842061,4977973,3007114,1746989,1746988,3007111,4977968,7842050,11247853,16181923,16182013,22328092,22911473,22911474,22327931,16181917,11247845,11247846,11745708,16241029,11291232,7841985,4977928,3007087,3007086,4977921,7841974,11745701,16798770,15326619,15326599,10585879,10585877,15326589,21292579,23044428,30452673,39042025,37752270,29190844,29190843,30452893,32295359,32295360,24684362,24684359,19855784,14225248,14225249,255730833,16798773,16798772,23044454,30452700,39042055,41160381,32345789,24730227,24730229,32345792,41160384,51345360,53676377,48964140,39042776,255985700,34082948,34082947,43166162,34083212,34083211,28513321,28513322,37012344,46891351,39042016,39042015,48963287,48963355,60358503,269490244,43166528,43166529,268786904,41160385,269134948,257058825,257595985,49969682,49969683,256947742,268410101,22619738,29987143,37012396,28513368,28513366,37012388,46891387,58258393,49969687,47917946,38002116,38002115,39042368,30452993,23044680,23044679,29482620,36767484,28272510,21069593,21069594,28272512,36767488,36878067,36878068,46756777,47255183,58647399,60562218,53676617,53676616,58647281,258067797,258253044,49162351,49162463,39235715,30637707,23214642,268423955,269322380,58258399,65732558,70839752,84397200,98306337,112288588,101788901,87816285,74212464,61433457,61433456,74212462,84290117,70738571,58024453,46652123,46652122,58024450,70738569,58647275,47255020,256335549,28807446,37345602,47255025,58647285,71382813,73305891,60562237,60562239,71669820,71669823,59725700,59725698,59365944,47975536,47975535,59365941,60562082,49162278,39235579,35214024,35214025,44594735,39235544,30637587,30637586,39235541,49162215,48963678,39042436,30453048,30453046,268964767,60358768,58647223,256876875,256876873,255983535,17133478,17133477,23407814,30836817,39440649,257611645,73520656,258842127,259937755,112870162,112870156,98883079,86951030,259413022,73339701,62834952,51184830,41028308,32235913,32235914,32235920,41028328,51184853,62834972,59725694,59725693,269803992,60112584,72849026,62834966,51184847,51184846,62834964,62834967,60771651,49369171,258219205,270815389,71382784,258692021,98883085,84957927,84957925,98883082,271350172,87046182,73428812,60681151,49280288,41028323,32235918,24638261,18182524,18182525,24638264,32235924,41028336,51184860,62834978,73305899,73305898,86916325,86916106,86916107,87864214,75799179,73305835,60562128,49162321,49162323,60562134,270353907,100897085,98890845,260052197,100648114,114693760,114693773,259497760,101041770,87046169,73428794,73428796,86915968,100896786,259497762,100897082,89581605,89581604,90885980,77007193,77007192,84965256,84965257,98890814,112878530,98890846,258251224,58655525,47263703,37354087,37354088,47263704,58655528,71390599,73070018,60329251,60329252,73070021,71981106,59243925,59243926,71981110,259357963,89581602,89581603,103697527,100648115,100648109,86674929,86674930,86674936,87046183,87046184,98890811,86674939,84990258,71416426,58682807,47291862,37382709,37382710,257458615,48930992,39007343,39007342,48930990,60329170,71390550,58655476,58655477,71390554,84965261,98890819,112878527,270819232,71390542,58655473,48931088,48931089,60329255,73070023,86674943,74231736,74231737,84990254,71416420,71416419,61452564,269813270,48930925,269833781,257642250,256455403,23013043,16773363,16773367,23013058,30418068,28815078,28815077,37354036,28815082,28815083,256877543,23013137,23013083,23013082,30418104,39007338,257579957,71416418,71416417,258703886,49974561,39957963,39957964,49974562,61452571,59771190,48388309,48388308,59771189,61604577,60258022,257469676,86591555,74226918,61447528,49969714,49969715,53362871,50124713,40104524,31424634,23934052,23590550,23590551,31073852,29924969,22565206,22565207,255854602,31278205,37820447,39953118,39797015,39797016,49817674,41105784,40104494,31424603,31424604,40104404,31424547,23933985,17591219,12416919,8392555,8392557,12416928,17591240,23934024,31424594,37927337,29360939,29360938,34088684,26227496,19512297,13966827,13966826,255709009,34088673,43171985,40104535,268075668,23934065,31424649,40104536,268212694,61604639,256889208,50124722,47742747,37820462,31424608,23934035,17591248,12416934,8392559,5415968,3329422,1958111,1958112,3329424,5415973,8392569,9590186,6295647,6295648,9590188,13966830,267963284,10683152,15451196,21448109,255830060,38244314,48153188,59539583,72273176,85864658,86700449,86700448,100673651,114720013,127702312,113832969,113832968,100673653,86700450,86700451,271359365,128616783,141976516,154618525,166336294,176932726,186306438,176932736,176932735,273561679,201477749,194477967,186306435,186306434,194477965,201477745,207369818,207369822,207369823,207369827,207369826,212228927,216199343,219489865,219489866,219489872,219489863,219489864,222268982,224654754,226726907,228533783,228533776,228533777,230122097,231532015,232795936,233938300,233938302,234979145,234453008,233938298,232795928,232795927,232795935,233938306,234979150,235926291,236789626,266637588,238937782,239430582,239082282,266691906,237743743,274771784,266792482,238817795,238817794,238156941,238156940,238156943,237431055,237431054,237743746,238156939,238156938,238156942,237431057,236631539,236631540,274771563,266741238,237431033,236631517,235754156,235754157,236128331,235200639,234182025,233061581,231822145,230443782,228892688,227132546,227132548,274482442,225115715,225115716,227132536,225115722,225115713,222794802,222794784,220096744,220096743,220096774,220096777,220096778,221833497,265375105,222794797,220096763,220096764,222794798,220096779,220096760,218991769,215625218,215625217,218991767,216903784,264593380,202634558,202634557,208343930,213053032,216903782,218991781,215625239,264529604,200532891,264193989,200532892,200532893,206566664,263932960,263872949,200532864,193386524,185058674,185058675,193386526,200532866,206566640,200532889,200532888,264529602,193386534,185058679,175521674,164771775,152943029,152943030,164771776,164771766,261770376,126907731,113054944,113054943,261128995,140254208,140254207,152943016,140254201,126907713,126907714,128539109,259626620,100608878,100608882,86641400,73039596,60301449,60301448,60359768,60359767,257169090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165206, s2 = 14536921, dlinesl.size( ) = 2 s1 = 14165206, s2 = 14536921, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165206, Dl.E( ) = 18, 1.6e-05 seconds used appending s1 = 4227585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4227585, s2 = 6511493, int(edited[s2]) = 0 s1 = 4227585, s2 = 6511493, d1 = 97, d2 = 49 Dl.O(d1) = 161702534,161702535,172860002,172860003,172859998,161702531,161702532,172860001,182758201,182758197,182758198,191409892,198855216,205160726,264668933,214651762,214651761,218161292,221105459,221105458,265500617,227705773,229373768,266115134,227841913,265861405,226495689,224391923,224391922,226495687,228328155,229936139,265822496,225957583,225957582,227841900,229497094,229497095,229497096,227841904,265514270,221305723,218396502,214933953,210724841,205572458,205572457,205572459,199342827,191979745,183420050,173628317,162600977,150475030,137437495,137437496,137437506,123707368,109515576,109515569,95261474,81205453,67740771,67740772,55401714,44555142,35177674,27089568,255450554,6551268,4104138,4104136,2800625,1624582,923742,520736,520735,923734,1624569,2800606,4649413,7360498,7362022,7360480,7360481,11098797,15987784,15988016,11120015,7375731,7375730,11120012,16015648,15988010,11098954,7360569,4649444,4649442,7360564,11098944,15987694,11098745,7360450,7360452,11006730,11006729,15878173,21971835,15987758,15987757,22096165,22096332,22096305,22096306,268387270,37385288,37383004,28843159,21571672,21571674,28843162,21573495,15550485,15550484,11098580,11098581,15987455,22095794,22200131,22095802,22095801,28458143,28458145,36958318,29426509,29426508,29543335,38106591,37988019,37988018,29426760,22095908,15987537,11098635,11098633,15987533,21543348,21543346,22823724,16603260,16603261,22823729,30215916,29426457,22095665,22095628,22095630,29426420,37987812,37988232,37988233,47903466,38026959,29464875,29426523,22095721,22095720,24338063,17947983,12718158,12718157,15987473,11098589,11098588,15987467,22095815,29426552,29426554,37987929,47903562,46836493,46383036,46383037,47903709,47903708,48016817,58401616,47903731,40561841,40561842,37385302,37385303,29426745,29426744,37988118,47259281,38799928,30215900,30215902,38799933,47241503,41829682,37987801,29426416,29426417,37987806,47903452,59298126,47903623,47903622,59298177,47903528,37987896,29426513,29426512,24338051,17947971,12718155,12718154,17947963,24338037,31860153,37331540,256875823,58635083,64254685,72852513,257505676,50602806,62101373,59298225,256132062,37987988,256925038,59304224,59298114,59298115,59298120,49981088,49981087,58062381,46689278,36805203,28794172,21529193,21529194,22095888,29426720,26586861,19782618,19782617,26586856,34573666,33105910,31860204,31860200,40561903,47294439,47294438,39511975,39511973,49443268,48952366,39030674,39030677,47087048,47087046,46502437,37520238,28976423,21693653,21693650,28976410,37520214,47029622,47427513,54589566,43845166,34573701,34573702,43845172,48875225,47427810,47427811,47427695,37519962,28976159,28976158,37519955,47427638,37519911,37331521,37331520,28976107,28976108,37519887,47427629,49820850,39800071,39800072,33105927,25370913,25370912,33105922,42055132,39511985,30903894,23469445,23469447,30903900,37520306,28976487,21693702,21693701,28976485,37520300,34573621,26586835,26586836,28976406,37519620,28975843,28627874,28627875,37141146,34573708,26586877,26586878,34573713,43845195,46382982,57733092,58814629,47427706,37519966,37519967,37519973,37519709,28976132,21693442,15652965,15652964,21693438,28976120,37519909,37519587,28975828,28975829,37519592,42055116,42055117,47427717,39512003,30903909,23469454,17188894,17188895,23469456,28975617,28975616,31119546,23632948,23632949,31119550,37540062,31119515,23632928,23632929,28976500,37520312,47029582,47029583,58401601,54589578,43845178,39526598,37519628,37519456,37519454,47427339,47427573,37519828,28976212,28976211,28976202,28975935,28975934,28976233,37519893,28976113,28976114,31119587,23632980,23632945,21693229,21693228,28975833,37519603,36878523,36878524,36878506,28975990,28975991,28975899,28975900,29633700,28976389,28976385,21710171,15667971,15667973,21710177,28975889,21693269,17316974,17316976,21693714,28976509,37519803,37519802,42055263,42055265,46411309,37519776,37519775,37519819,28976524,28976520,28976066,21693414,21693415,15653001,15653000,21693499,21693514,15653013,15653015,21693522,28975941,21693311,15652895,10834185,10834183,10834238,15652991,21693483,28976185,37249077,28718177,28718176,21693282,15652878,15652879,17696431,24049846,28976095,28975969,28975970,37519521,28976311,28975667,21693069,15652732,15652731,21693056,21693542,15653030,15653028,21693535,28081338,36549639,28976218,28976219,28976528,21693728,15653146,15653147,15653083,10834276,7161797,4510688,4510678,4510676,7161780,10834249,15653022 Dl.O(d2) = 255407592,21467496,254502524,254335726,12759211,9680724,6367222,3995280,3995279,254677273,14075300,19638639,26371538,26371535,26371534,268794197,53873853,257267012,79306371,259108997,71185510,259306707,76940374,63833037 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024493, s2 = 8718595, int(edited[s2]) = 0 s1 = 7024493, s2 = 8718595, d1 = 18, d2 = 27 Dl.O(d1) = 261518635,161711573,172869254,182767638 Dl.O(d2) = 264109935,264437718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024493, s2 = 8718595, dlinesl.size( ) = 2 s1 = 7024493, s2 = 8718595, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7024493, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 7097875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7097875, s2 = 14078402, int(edited[s2]) = 0 s1 = 7097875, s2 = 14078402, d1 = 34, d2 = 15 Dl.O(d1) = 262548183 Dl.O(d2) = 85536941,85536943 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4560011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4560170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4404115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8693289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4561543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4704793, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13394329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9563436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9563436, s2 = 11447197, int(edited[s2]) = 0 s1 = 9563436, s2 = 11447197, d1 = 7, d2 = 7 Dl.O(d1) = 255828103,37078377,46958778,58325873,257287390,43896489,43902184,34629715,26639809,19827783,14203650,14203651,19827786,26639816,34629728,28152861,256286089,43902183,54645352,66902561,259134275,108671168,122935380,136766323,149906991,262561709,183068893,191677259,191677260,199079697,199079698,205341534,210525535,214761636,218247884,221176815,265505557,225858189,227754015 Dl.O(d2) = 255828103,37078377,46958778,58325873,257287390,43896489,43902184,34629715,26639809,19827783,14203650,14203651,19827786,26639816,34629728,28152861,256286089,43902183,54645352,66902561,259134275,108671168,122935380,136766323,149906991,262561709,183068893,191677259,191677260,199079697,199079698,205341534,210525535,214761636,218247884,221176815,265505557,225858189,227754015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9563436, s2 = 11447197, dlinesl.size( ) = 2 s1 = 9563436, s2 = 11447197, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9563436, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9708375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10160603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13708575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9676931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358533, s2 = 6827830, int(edited[s2]) = 0 s1 = 10358533, s2 = 6827830, d1 = 61, d2 = 40 Dl.O(d1) = 221326296,274390901,210566407,205388503,199130718,191730910,191730909 Dl.O(d2) = 167922440,156344186,143822106,130497706,116658891,102559808,258925421,258925423,71147220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358533, s2 = 6827830, dlinesl.size( ) = 2 s1 = 10358533, s2 = 6827830, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10358533, Dl.E( ) = 62, 2.31e-05 seconds used appending s1 = 8693809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9209664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9209664, s2 = 614493, int(edited[s2]) = 0 s1 = 9209664, s2 = 614493, d1 = 4, d2 = 14 Dl.O(d1) = 63949381,52128386,257169940,77063762,90946938,100012915,86049616,72450849 Dl.O(d2) = 21196306,28418600,36916472,46794278,58161835,59056224,47655712,37733967,29173294,21863274,15790415,10939916,7238864,255059285,9298421,6091196,6091195,9298420,255273107,25642555,19584030,19584031,14030504,9645894,6342047,6342046,9645892,9335533,9335534,13633346,13624294,9329266,6111094,6111095,9329269,13624296,19082879,255684557,255273769,9304435,6094867,3813308,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304344,9304345,13588512,19036551,25655297,31794546,33471698,33471697,37607433,37607432,33417436,28374649,21157580,21157579,19035689,13587758,13587757,19035685,25654477,25654478,33423050,29802298,29802299,30038940,25698612,19155393,19155392,22834653,23775160,25698363,25698364,33471527,40457460,31763019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9209664, s2 = 614493, dlinesl.size( ) = 2 s1 = 9209664, s2 = 614493, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9209664, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 7099141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8435549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4409861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4567037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3068989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3068989, s2 = 16326258, int(edited[s2]) = 0 s1 = 3068989, s2 = 16326258, d1 = 0, d2 = 62 Dl.O(d1) = 95138581,259501898,150356696,261286800 Dl.O(d2) = 263971424,191896372,183328071,173527558,173527559,183328073,191896373,199266972,205503036,273744300,263623068,199266963,199266962,263237452,191896365,183328067,183328066,262809070,177771815,187045579,191896363,199266961,205503024,210661893,214876223,218343769,218343768,221257900,221257903,221257902,221257907,218343782,218343780,218343781,264812442,214876233,214876234,218343778,221257906,223754299,225918120,227805573,227805575,225918125,223754302,221257909,218343784,214876235,210661903,205503035,205503036,273744302,263971414,264282120,263623066,199266963,199266962,205503025,263971416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3068989, s2 = 16326258, dlinesl.size( ) = 14 s1 = 8666402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8666402, s2 = 10352840, int(edited[s2]) = 0 s1 = 8666402, s2 = 10352840, d1 = 32, d2 = 18 Dl.O(d1) = 274072288,210664900,205506429,199270713 Dl.O(d2) = 262083296,259157785,257908405,256218465 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7015697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660110, s2 = 15136796, int(edited[s2]) = 0 s1 = 11660110, s2 = 15136796, d1 = 14, d2 = 11 Dl.O(d1) = 95200587,81143815,67677905,257494636,44492399,257313031,67677904,259789617,123647210,137378451,150418588,162547591,173578663,183373473 Dl.O(d2) = 173578661,162547590,150418587,137378449,258813126,99862193,257001960,48191798,48191797,59578237,60115070,50580514,50580515,62072667,71125113,58407285,58407286,71125115,84689444,98614032,112609080,112609082,98614033,271302869,126477470,260652746,126477470,139848565,152561896,153787915,141114522,141114521,153787914,165569592,164420460,152561895,152561896,164420461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660110, s2 = 15136796, dlinesl.size( ) = 8 s1 = 10336863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7100128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8741280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280669, s2 = 9206613, int(edited[s2]) = 0 s1 = 7280669, s2 = 9206613, d1 = 21, d2 = 25 Dl.O(d1) = 264925620,191957292,183395615 Dl.O(d2) = 140567229,137404250,123673130,259792016,81171227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280669, s2 = 9206613, dlinesl.size( ) = 22 s1 = 9259564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13654929, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13750765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9721134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7204605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7204605, s2 = 8256792, int(edited[s2]) = 0 s1 = 7204605, s2 = 8256792, d1 = 25, d2 = 2 Dl.O(d1) = 263967392 Dl.O(d2) = 95336452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7204605, s2 = 8256792, dlinesl.size( ) = 34 s1 = 7100914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4702518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660436, s2 = 15020550, int(edited[s2]) = 0 s1 = 11660436, s2 = 15020550, d1 = 4, d2 = 36 Dl.O(d1) = 55678996 Dl.O(d2) = 227881007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660436, s2 = 15020550, dlinesl.size( ) = 2 s1 = 11660436, s2 = 15020550, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660436, Dl.E( ) = 58, 1.81e-05 seconds used appending s1 = 8597202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7190958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7190958, s2 = 8484529, int(edited[s2]) = 0 s1 = 7190958, s2 = 8484529, d1 = 20, d2 = 0 Dl.O(d1) = 263810559 Dl.O(d2) = 123942827,109806311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7190958, s2 = 8484529, dlinesl.size( ) = 12 s1 = 14166102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166102, s2 = 7216713, int(edited[s2]) = 0 s1 = 14166102, s2 = 7216713, d1 = 19, d2 = 7 Dl.O(d1) = 214985073,210780465,205632879,199410591,263446131,173734021,173734022,263446133 Dl.O(d2) = 264138943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166102, s2 = 7216713, dlinesl.size( ) = 2 s1 = 14166102, s2 = 7216713, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166102, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 7101179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165696, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4716000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4716000, s2 = 7806663, int(edited[s2]) = 0 s1 = 4716000, s2 = 7806663, d1 = 24, d2 = 47 Dl.O(d1) = 192078141 Dl.O(d2) = 10043397,10043396,255237617,254636261,5832593,8936214,13027892,8871215,5783837,3604928,3604931,3532835,2102530,2102532,2102524,1212725,684204,684207,1212736,717109,405377,227321,125275,125278,125816,68431,37094,37098,64484,64486,64337,64339,68715,126635,229839,375756,675393,254195775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4716000, s2 = 7806663, dlinesl.size( ) = 2 s1 = 4716000, s2 = 7806663, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4716000, Dl.E( ) = 48, 1.38e-05 seconds used appending s1 = 13694545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7191913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10268802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4632015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8485217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8485217, s2 = 4717028, int(edited[s2]) = 0 s1 = 8485217, s2 = 4717028, d1 = 44, d2 = 65 Dl.O(d1) = 5863650,8981284,13175402,18542649,25087445,32785284,41701713,255557898,22320233,16175176,11242505,11242504,255464771,255045396,255242527,11242481,8981606,8981608,13175974,18543571,25088737,18543825,13176137,13176136,18543821,25089077,24149372,24149371,28299629,21091395,15150111,15150110,18543227,20304416,27233685,35356372,28301026,28301027,36798284,38959773,30374182,27087095,20189097,20189096,27087093,35175142,27132902,27132903,35227045,30894861,23461859,17183042,12082032,8124681,5205165,3175708,1859061,1859060,3175707,5205163,8124676,268104569,23213723,30636629,39234498,47340649,39364087,30762746,23339731,17073482,11985416,11985415,17073480,19838045,26651557,34642675,43915844,39247422,30651682,23230257,23230258,21613896,21613895,28889958,32788160,41703521,33228836,26678134,26678135,28308850,21098953,15586003,10781953,258696803,257463472 Dl.O(d2) = 264698180,210877949,264436442,263818200,174079917,262115775,261037831,125180209,262115773,174079911,183766223,192256468,194951031,263226465,167063158,155423276,271312836,8189745,8189746,255159237,23591668,256500755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8485217, s2 = 4717028, dlinesl.size( ) = 42 s1 = 4576119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4576119, s2 = 10155502, int(edited[s2]) = 0 s1 = 4576119, s2 = 10155502, d1 = 14, d2 = 4 Dl.O(d1) = 262747322,199601608,205783193,273362854,183819437 Dl.O(d2) = 7592213,7602472,7602471,7727521,11412818,7584376,4797203,2891617,1678316,954854,954855,1678323,2891642,2933966,2933967,4868975,7610286,7610625,4866479,2932455,2932454,4806271,2896681,2896679,4806264,2898843,1681961,956525,539098,539094,539083,539085,956466,1681772,1680694,955977,955975,1679684,955476,538684,301982,167217,167216,301978,538673,955459,971845,971843,1709809,2948218,3731161,4801721,2895271,1680156,1680155,1681481,2897884,4802087,4802085,4099011,2452045,2452048,4099025,4273555,4273554,6813375,7603209,7603210,11435196,7613660,7613658,11413899,11413901,16397397,16567419,254923700,255667310,22598553,16440134,13344751,9118079,9118080,7585088,4797649,2902924,2902923,4817032,4813406,4813408,7608513,11441913,11426113,11426112,7746746,7070201,4905463,4905462,7746409,11628922,10701630,7609039,7605692,6542865,6542864,9955162,10029725,6591578,4129519,2470211,2470212,4129528,3535929,2104627,2104629,1680135,1680140,2895228,2428040,2428035,4056393,6472908,7611138,7611136,255923903,257721290 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8690322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9222507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8528414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4846787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4846787, s2 = 7214957, int(edited[s2]) = 0 s1 = 4846787, s2 = 7214957, d1 = 1, d2 = 3 Dl.O(d1) = 199646975,263821747,183873190,174203066,174203067,183873192,192348728 Dl.O(d2) = 183873189,174203065,174203064,183873188,191679767,183071063,173220236,162120412,149908599,149908600,162120414,173219988,183070807,183070806,262561843,162120233,173220009,162120296,162120299,163350271,151466619,138765228,125436171,111633185,97711902,97711900,111633191,261045355,151466644,163350304,174203063,263458669,192348733,264147819,210927513,205821306,263821743,183873187,183873188,191679767,183071063,173220236,162120412,162120411,173220234,183071062,263014309,173220234,183071061,191679535,191679534,264118539,199082161,263421867,263421865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4846787, s2 = 7214957, dlinesl.size( ) = 2 s1 = 4846787, s2 = 7214957, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4846787, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 7217205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7187924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10252226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10252226, s2 = 3852871, int(edited[s2]) = 0 s1 = 10252226, s2 = 3852871, d1 = 124, d2 = 66 Dl.O(d1) = 272874017,263822607,183890408 Dl.O(d2) = 138782535,261172768 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4718638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4718638, s2 = 8073777, int(edited[s2]) = 0 s1 = 4718638, s2 = 8073777, d1 = 86, d2 = 85 Dl.O(d1) = 263571886,192368209 Dl.O(d2) = 15933983,11056744,7331595,4631544,3582458,2134903,1231943,254198507,3582453,5753061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4718638, s2 = 8073777, dlinesl.size( ) = 64 s1 = 4577725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4577867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4578532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8696415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4578625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7692808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4721609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7192477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7192477, s2 = 7068219, int(edited[s2]) = 0 s1 = 7192477, s2 = 7068219, d1 = 13, d2 = 10 Dl.O(d1) = 263831787 Dl.O(d2) = 262135812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7192477, s2 = 7068219, dlinesl.size( ) = 14 s1 = 6797816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6797816, s2 = 7719993, int(edited[s2]) = 0 s1 = 6797816, s2 = 7719993, d1 = 18, d2 = 24 Dl.O(d1) = 258635305,262621905 Dl.O(d2) = 273643312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6797816, s2 = 7719993, dlinesl.size( ) = 32 s1 = 7210200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7103150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9246877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9246877, s2 = 14147398, int(edited[s2]) = 0 s1 = 9246877, s2 = 14147398, d1 = 85, d2 = 104 Dl.O(d1) = 174465268,263471851,184114396 Dl.O(d2) = 231280858,231280859,232568673,233731819,233731820,233731826,233731816,232568684,232568682,231280881,229844828,228227793,228227794,228227802,228227803,229844848,231280906,232568692,232568693,232568688,231280898,229844837,228227797,226386440,265375191,221834402,224272187,226386444,228227805,229844850,231280910,231280851,231280852,232568668,233731815,232568634,231280817,229844778,229844779,231280820,232568635,232568664,231280848,229844801,228227775,226386429,224272179,224272178,224272175,265549593,228227763,229844783,266108003,231280841,229844796,229844795,229844815,228227782,228227781,229844813,231280824,229844782,229844783,266108003,231280841,229844796,229844795,231280840,231280860,231280863,231280824,229844784,229844785,231280827,231280835,229844792,228227769,226386426,226386427,274511153,231280838,229844822,229844823,231280875,231280900,232568674,231280868,231280869,232568645,232568654,232568660,231280846,229844800,265985375,232568659,233731824,232568690,231280901,229844842,228227804,228227806,229844851,231280911,231280895,231280894,231280903,265985379,228227796,228227795,229844834,231280893,232568686,233731830,234790057,235521838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9246877, s2 = 14147398, dlinesl.size( ) = 2 s1 = 9246877, s2 = 14147398, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9246877, Dl.E( ) = 106, 3.22e-05 seconds used appending s1 = 6588027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4583366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4583366, s2 = 5551538, int(edited[s2]) = 0 s1 = 4583366, s2 = 5551538, d1 = 1, d2 = 7 Dl.O(d1) = 184287157 Dl.O(d2) = 218673725,221548803,224015682,226154221,228015503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4583366, s2 = 5551538, dlinesl.size( ) = 2 s1 = 4583366, s2 = 5551538, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4583366, Dl.E( ) = 8, 2.48e-05 seconds used appending s1 = 10344852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344852, s2 = 4724981, int(edited[s2]) = 0 s1 = 10344852, s2 = 4724981, d1 = 27, d2 = 2 Dl.O(d1) = 271097568,268516564,41574921,40875583,32103351,24527443,24527440,18481865,18481864,25009126,255805002,273322008 Dl.O(d2) = 192743593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4725019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8639397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9562768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10222091, s2 = 4586027, int(edited[s2]) = 0 s1 = 10222091, s2 = 4586027, d1 = 8, d2 = 3 Dl.O(d1) = 269824506,255247683,254910373,18679766,13286886,9069967,9069968,13286888,18679770,25250607,31411838,23922141,23922142,31411841,31318473,25085899,18541465,16354017,11380628,11380627,16354010,22526882,28299952,36797258,31318737,23828952,17491053,12332548,12332546,8622724,5606154,5606156,8622732,12692938,256557077,257688763,74834244,257999508,37346679,28808411,21541078,21541079,28808412,37346681,255521590,39032274,48954407,255967206,257012720,269368222,137304301,259448764,271831624,272883026,260937538,46492590,46492591,57848625,58595537,61431255,61431254,268393214,31702835,40383506,31689979,24181382,24181381,31689977,26914610,20030147,20030146,26914608,29363424,37930230,47850444,59247149,257030086,34260882,255717763,19648486,26383018,34260880,43360807,256226540,255455746,15899159,11021957,11021958,15899161,21998496,254945510,21199099,256181034,254989318,34883343,26824931,19958763,14290858,9817603,6450248,4043885,4043884,2422313,1401699,1401696,2422354,4044676,6451727,9820274,14295391,19966016,26836029,34899092,44260878,257898913,59548900,256400918,255670452,270356859,39344496,30745274,256479421,269821032,30860648,30860647,39464919,44344062,44344061,257901047,70747100,257413121,36774843,28278991,21074593,21074594,28278993,36774847,34218686,26345042,26345043,28550658,21325897,15353935,15353936,21325899,255935350,255669288,46733456,46733457,53840335,53840334,43940046,34665900,26672758,26672759,25549121,25549120,33310615,39409106,255981385,17106592,12020678,8080278,5175807,255013520,23376259,28218969,28218970,27242228,21035626,15109310,15109311,267785266,11128833,16028227,254489384,15336511,10592469,10592468,15336507,21305899,21120849,20311284,14576341,10030151,6591884,4129722,2470358,2470357,4129756,6591949,10030296,14576457,14576458,15178190,10591269,10591271,15334919,15175396,10467767,10467766,15175018,10465833,6898700,4330809,2591169,2591170,4330814,6898885,10466115,8245844,8245843,6870567,4312476,4312475,6867110,6867107,4391747,2631424,2631422,4391743,4391681,2631382,1519449,861523,486280,273489,273488,486274,861510,1519423,2631234,2631232,254119064,4334815,2594595,1499576,1497553,1496746,1495666,847505,847504,848171,848170,1496814,1496769,848145,848106,848105,847635,478670,478669,847630,1495901,2593377,1495796,254118440,269389,149328,149327,269387,478636,847561,1495769,2593318,4333183,6901254,255809933,36836203,46718825,256300190,84365994,98274480,112254107,126110059,139481765,152211303,164099370,174924169,184535291,174924183,164099390,152211326,152211327,164099392,174924187,164099428,164099427,152211371,139481818,126110102,112254138,258652440,126110086,258027790,258027788,126110084,139481801,152211343,164099404,174924181,164099382,152211315,139481781,258652436,257418054,84365998,98274486,112254121,126110075,139481788,152211329,152211298,139481758,126110054,112254101,98274476,84365992,84365993,98274477,258652432,139481762,126110098,112254133,112254132,126110096,139481811,152211359,164099425,174924178,164099379,152211312,139481775,126110064,112254111,258652434,139481777,139481770,139481769,152211306,261631390,164099373,152211304,260500518,139481798,126110082,112254125,112254124,126110078,139481794,152211338,164099401 Dl.O(d2) = 174924175,174924207,262151816,192928458,184535293,174924173,174924175,174924178,164099379,152211312,139481775,126110064,112254111,258652434,139481777,139481770,259279202,112254115,112254116,126110068,139481779,152211314,164099381,261631392,261631394,152211339,152211332,152211331,164099397,174924191,174924196,174924197,262151814,192928476,184535314,261079576,164099431,152211370,139481818,126110102,112254138,258652440,126110086,258027790,258027788,126110084,139481801,152211343,164099404,174924181,164099382,152211315,263079363,184535311,184535310,184535312,192928472,200127515,192928451,184535294,174924183,164099390,152211326,152211327,164099392,174924187,164099428,164099427,152211371,139481818,126110102,112254138,258652440,126110086,258027790,258027788,126110084,139481801,152211343,164099404,174924181,164099382,152211315,263079363,184535311,261079574,259898442,164099422,174924205,184535312,192928472,200127515,192928451,184535288,174924165,164099368,152211301,139481763,126110057,112254117,257418054,84365998,98274486,112254121,126110076,139481791,152211331,164099397,174924191,174924196,174924197,262151814,192928476,184535314,261079576,164099431,164099436,174924215,261631400,260500522,139481812,139481811,152211359,164099425,174924178,164099379,152211312,139481775,126110064,112254111,258652434,139481777,139481770,139481769,152211306,261631390,164099373,152211304,260500518,139481798,126110082,112254125,112254124,126110078,139481794,152211338,164099401,164099412,152211346,260500520,261631398,192928468,192928456,184535290,262151810,7211073,254341808,21803897,29102061,21867245,254514254,11264622,11264621,16204464,22356042,29711085,38277377,48186565,59572484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10222091, s2 = 4586027, dlinesl.size( ) = 2 s1 = 10222091, s2 = 4586027, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10222091, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 7104066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7104066, s2 = 4835289, int(edited[s2]) = 0 s1 = 7104066, s2 = 4835289, d1 = 13, d2 = 4 Dl.O(d1) = 262635847,184542699,263651902,199082882,264676145 Dl.O(d2) = 199082882,261487160,268768182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7104066, s2 = 4835289, dlinesl.size( ) = 22 s1 = 10238369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8639705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10209125, s2 = 6709752, int(edited[s2]) = 0 s1 = 10209125, s2 = 6709752, d1 = 248, d2 = 175 Dl.O(d1) = 112309749,112309750,126170435,261634507,164162623,174979876,263483403 Dl.O(d2) = 257586764 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7104436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8569616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8569616, s2 = 5838775, int(edited[s2]) = 0 s1 = 8569616, s2 = 5838775, d1 = 145, d2 = 97 Dl.O(d1) = 262144718,184589198,184589199,184589192,184589191,192974265,184589204,174987345,164170567,152286655,152286656,164170569,174987350,184589212,192974284,200167606,192974273,261623730,164170563,152286653,152286652,164170561,261623728,192974269,192974287,200167588,200167603,200167612,192974276,184589202,184589203,174987345,164170567,152286655 Dl.O(d2) = 235601361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8569616, s2 = 5838775, dlinesl.size( ) = 34 s1 = 4728496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4588319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4076104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8670495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2481598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2481598, s2 = 10361604, int(edited[s2]) = 0 s1 = 2481598, s2 = 10361604, d1 = 25, d2 = 28 Dl.O(d1) = 70896658,84453072,273318694 Dl.O(d2) = 266654007,238753409,239368176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2481598, s2 = 10361604, dlinesl.size( ) = 20 s1 = 4589107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4729354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4729354, s2 = 11236952, int(edited[s2]) = 0 s1 = 4729354, s2 = 11236952, d1 = 15, d2 = 7 Dl.O(d1) = 192998029,184615475,184615476,192998030,200189033,200189027,192998026,192998025,184615474,175015784,175015785,184615476,192998030,200189033,200189027,192998026,184615473,175015784,175015785,184615476,192998030,200189032,206260909,206260906,200189029,192998027,184615473,175015784,175015785,184615476,192998030,200189033,200189027,192998026,184615473,175015784,262158313,139590091,126215933,112356307,98374223,84465096,70908837 Dl.O(d2) = 155095927,166792305,155095926,271663012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4729354, s2 = 11236952, dlinesl.size( ) = 2 s1 = 4729354, s2 = 11236952, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4729354, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7402077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7402077, s2 = 6784273, int(edited[s2]) = 0 s1 = 7402077, s2 = 6784273, d1 = 14, d2 = 28 Dl.O(d1) = 266284302,274147864,211282183,264067944 Dl.O(d2) = 15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,30728232,23916152,21228754,21228756,25567501,21268389,15306950,12251537,12251540,15475670,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410282,6061074,6061073,9254623,13523188,18959251,21261446,21261445,17166103,12069901,8116460,5199853,5199854,8116475,10568277,6970655,4379151,4379153,6970663,10568287,15304202,15262210,13522413,9253962,9253961,13522407,18958635,25568728,23430770,17154065,12057518,12057517,17154064,15029198,10356939,6964216,6534413,4094261,4094258,6534399,6065665,3795123,2273219,1318252,1318250,254927993,18966183,25575008,33334756,258416918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7402077, s2 = 6784273, dlinesl.size( ) = 8 s1 = 3872028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7105038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4266898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10247411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10247411, s2 = 10255311, int(edited[s2]) = 0 s1 = 10247411, s2 = 10255311, d1 = 68, d2 = 94 Dl.O(d1) = 17842584,17842583,24212732,29726973,22370313,16215615,16215614,22370312,29726972,38293893,30598828,23180047,19650294,14084802,14084800,11145713,11145712,16052066,11839048,11839047,16916528,17767082,12572971,12572973,14095272,19663978,26397901,19663885,14095194,14095193,14088435,9690292,6373868,6373869,9690295,14088437,16564940,16564939,14910914,14910915,20805523,21481457,21481458,23396237,17124292,12034121,8090186,5183161,267796643,1851181,3162287,5183169,8090196,12034135,17124312,17720016,17720017,17720031,22356764,23290001,23290000,29712284,22356924,16205084,11265016,11265015,16205081,22356921,29712276,30422658,30422656,29712643,29712644,23634276,17318369,17318370,22357199,16205265,11265128,11265127,16205020,16205172,22356746,16204952,16204951,22356739,16205013,11264961,7478275,4726345,2847680,1652252,1652253,2847687,4726360,7478469,11265317,16205552,255394932,24076857,22357461,268205600,22357588,29713083,29712315,22356945,16205097,11265022,11265023,16205099,22356951,22578031,22578030,28522507,28522506,37020459,40269524,31582539,24076833,22357185,16205258,11265122,7478356,4726292,4726293,7478358,11265124,16205260,22357188,29712609,38070663,29507063,29507062,38070661,29711329,29711328,38277641,257429670,38111658,29548687,22205210,16075223,11162702,7404267,7404268,11162704,16075228,22205216,29507094,29507095,30878925,28522035,28522033,22205059,16075134,16075133,22205040,29548591,37020433,28522475,22356244,16204608,16204607,22356238,29711340,38277653,47982684,38070674,29507072,22166812,16044047,11140209,11140210,16044029,11140204,11140202,16043938,11140156,11140155,16043934,22166616,29506814,38070442,39137810,39137811,47982745,47982730,38070534,38070535,29548772,29548711,22205132,16075171,11162677,7404253,7404254,11162680,16075141,11162659,7404246,4677591,4677592,7404248,11162665,16075148,22205084,29548645,29548863,38111203,38112025,38070467,29506832,22166759,16044012,11140195,7389073,4667985,4667984,7389071,11140191,16044007,22166750,29506991,31379633,23882622,17536306,17536307,21291774,28512268,37011096,38111674,29548721,29548333,22204755,16074850,254768277,7404163,11162504,16074869,11162810,11162812,16075384,16075083,16075084,16075032,11162890,7404357,7404358,11162892,16074884,16074885,16074932,11162545,11162546,16074933,16075414,22205430,28439285,22204467,16074648,11162388,7404116,4677551,4677550,7404179,11162532,255893267,36938535,36938368,28438828,21213537,21213536,28438783,21213520,21213521,28438790,36938306,38201555,29634660,22282293,22282292,29634656,26255298,26255297,255999782,34695160,26700553,19879737,14243723,9791578,9791580,14243729,19879748,26700570,34695193,43970496,54714309,58259845,58259846,58259817,58259818,46892933,37013624,28514325,28514322,37013620,46648241,46648239,48112716,59500808,58021198,46816459,36938158,36938159,46816464,58183277,48112702,48112701,59500796,70975676,58259803,53719748,53719747,65776738,70831600,59576230,59576231,72310969,70831718,58117019,46748308,38280408,29713732,22358068,16205875,16205876,22358072,29713739,38280420,48189864,48189848,48189847,58116576,70831438,76988290,63877225,59576154,59576155,72310917,64447762,64447761,72310915,70831562,58116781,46748080,36868774,28372126,28372125,36868771,46748076,58116772,70831557,84388831,98297414,84388844,70831591,58116821,46748120,36868803,36868805,257418819,38280351,38280352,38887700,38887699,48810124,48189921,41898202,32960107,32960106,41898199,41898215,52234092,52234094,64079982,58116867,46748161,36868832,36868831,46748158,58116863,70831616,70831498,58116672,46748275,36868916,36868915,46748270,58116983,58259889,70975712,64079962,58259927,46892905,37013599,28514307,21293332,15327152,15327150,21293329,28514304,37013587,46892890,58243455,58243454,70959970,60207225,48810133,38887704,30301705,22902902,22902904,30301714,38887681,46748005,46748004,58116686,60207233,58116609,52234070,46748286,46748287,58117000,70831704,68083467,55685058,44776799,44776798,55685056,68083461,81573345,70831724,58117031,58116980,46897159,37018559,28520433,21299364,15331522,15331525,21299373,21281210,15331763,15331762,21299722,21283734,21283733,21299793,28501857,21283720,15320239,15320238,21283715,21299732,21299731,28520227,37018363,36996409,28498960,21299063,15331305,15331304,15331958,15318442,10580213,10580210,15318434,21281263,28498544,21280886,21280888,28498548,28502281,28499002,21281293,15318458,10580222,6979502,6979501,10580218,15318451,21281281,28498995,36995904,28521013,28498988,28498986,28520420 Dl.O(d2) = 271767018,259291992,112451963,98461429,84538987,70975582,70975581,84538985,98461426,270804418,152419230,152802388,261643418,164640172,164640174,175401462,184681465,184681463,184681526,175096437,164294233,164294232,164294236,164294235,175096399,164294192,152419239,139693353,259911130,152419219,259291996,112451981,112451980,126318353,139693392,152419306,164294269,164294287,152419322,139693404,258665254,98461443,98461444,112451990,126318368,259911140,164294282,152419317,152419300,152419299,164294265,175096454,175096453,175401448,261091632,152802370,164640160,262647334,184681483,175096379,175096378,184681480,193050506,272831158,175096376,175096375,184681477,262647312,273849314,211313147,264173744,200232491,262163214,164294229,152419271,260512982,175096431,184681523,193050499,184681467,175096370,164294161,152419216,139693337,126318311,258040896,258040898,112451956,258665250,139693339,152419219,259291996,112451981,112451980,126318353,139693392,152419306,164294269,164294287,152419322,152419323,260512986,139693399,126318362,258040910,258040912,126318364,139693402,152419318,164294285,175096493,262163226,262163222,175096454,175096453,184681540,262163218,184681529,263090224,211313160,264173746,221658559,224114985,224114991,221658565,264173750,211313173,206298065,200232530,193286563,184949533,175401453,175401454,184949535,263665872,262865392,261897238,152802375,140109065,126759817,262186539,175096450,175096451,261358616,140109069,259576272,258323894,71421600,58688384,58688383,71421599,84994935,98919716,112907299,126759820,140109066,152802377,164640163,175096471,164294257,259911136,126318348,126318349,139693388,152419296,164294262,175096352,175096353,184681452,193050483,200232448,200442132,193286561,184949531,184949529,193286556,200442121,206485592,211481568,215564385,218938681,221658567,218798201,215411430,211313173,206298065,200232530,193286563,263090216,272527468,164294188,152419237,259291990,112451961,98461427,258040902,126318317,259911128,164294181,175096382,271767026,139693407,139693406,152419326,164294290,164294148,164294149,261643412,193050487,184681555,272831162,200232487,262163210,175096417,175096418,175096374,164294173,271299612,270287056,112451959,126318316,139693346,152419200,139693325,139693326,152419203,164294140,164294250,152419287,139693383,126318344,259291994,152419280,164294245,261643428,193050560,200232510,206298054,206298028,200232471,193050511,184681489,184681488,193050509,200232469,200232481,262163206,175096413,164294202,152419247,260512978,164294199,152419245,139693357,139693358,260512976,175096410,175096435,175096415,262163208,200232483,200232482,193050525,193050524,200232453,206298012,206298008,200232450,193050485,184681454,175096354,272177608,164294144,175096356,262647304,200232516,193050568,184681545,184681544,193050566,200232514,200232485,200232484,200442125,193286557,193286558,200442126,206485594,211481570,215564387,215411416,211313146,206298021,200232461,193050501,184681473,184681474,175096385,164294183,152419233,152419235,164294187,175096389,184681492,193050513,263090214,184681553,175096468,175096469,262163220,175096459,164294253,152419289,152419292,164294256,175096465,184681551,193050576,200232505,193050559,184681538,184681539,193050556,200232504,206298050,263490488,262647310,175096372,164294164,152419221,139693341,126318314,258040900,98461422,258665250,139693339,152419219,259291996,112451981,112451980,126318353,139693392,152419306,164294269,164294287,152419322,152419323,260512986,271767022,175096488,184681564,193050589,200232532,206298067,211313158,215411422,273977312,224114979,221658563,218798200,274087097,200232525,200232526,273526996,206298043,200232488,193050539,184681516,175096424,164294223,152419265,139693372,139693373,152419268,164294225,175096427,262163212,264462899,273849316,264723050,221658561,264173748,211313163,206298049,200232501,193050553,193050555,263090226,211313165,274182561,224114988,265362016,265696222,274458528,229729532,265169294,264173742,206298039,262647320,184681512,262163200,184681458,262647308,263490486,215411414,218798190,221658551,224114974,224114976,221658554,218798192,273526994,200232457,193050493,184681459,175096365,164294152,152419211,152419208,260512974,260512984,164294263,164294262,175096352,175096353,184681452,193050483,200232448,200442132,200442131,206298024,200232467,262163202,262647314,193050549,200232499,273977289,200232477,262163204,175096403,164294195,164294194,152419256,139693367,126318331,126318330,139693366,152419223,261091630,184681471,175096497,164294293,152419328,260512988,152419264,139693371,139693344,139693346,152419228,164294171,164294154,259911126,126318309,259911124,259911122,164294145,175096357,262163196,261643422,175096414,184681506,262163198,261091628,164294150,164294279,152419315,152419316,164294276,164294277,175096485,262163224,200232524,206298013,262647306,193050490,193050573,184681549,184681547,193050570,200232519,206298055,200232513,200232514,200232485,200232484,200442125,193286557,193286558,200442126,206485594,211481570,215564387,215411416,211313146,206298021,200232461,193050501,184681473,184681474,175096385,164294183,152419233,152419235,164294187,175096389,184681492,193050513,263090214,184681553,175096468,175096469,262163220,175096459,164294253,152419289,152419292,164294256,175096465,184681551,193050576,200232505,193050559,184681538,175096446,164294242,152419277,139693381,126318342,112451974,257431034,70975586,70975585,84538991,84538989,84538988,258040904,126318329,139693364,152419253,164294208,261643424,261091636,152419330,139693412,126318370,112451992,257431038,70975590,70975591,84539002,258040906,98461434,112451970,112907304,126759824,260512980,164640178,175401466,184949544,263090222,206485596,211481572,215564390,264723052,224114981,264462974,215411424,263490490,262647326,184681522,175096429,175096428,184681518,262647324,193286567,193050536,184681514,175096422,164294271,259911138,258040908,98461438,258665252,112451983,126318358,139693394,152419312,164294273,175096483,184681560,193050583,193050546,261643426,175096433,184681497,261643432,261643430,193050581,193050497,184681461,175096368,164294160,152419214,152419213,164294158,152419262,270804420,126318332,259911132,164294216,272527470,262647322,206298041,263490496 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4858906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4858906, s2 = 7701453, int(edited[s2]) = 0 s1 = 4858906, s2 = 7701453, d1 = 7, d2 = 13 Dl.O(d1) = 200237498,193055923 Dl.O(d2) = 273098097,260513464,86314169,74037830,74037829,74037828,61257875,61257874,74037826,61563536,61563535,61257881,49779060,39760258,257048123,269777242,39760253,39760252,49779052,61257870,258862333,87641281,74037838,74037839,87641284,101608033,87641275,86314171,86314170,87983120,74380601,61604054,50124177,256846100,256019349,23882202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4858906, s2 = 7701453, dlinesl.size( ) = 8 s1 = 9677809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13750651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4592469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7210692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7210692, s2 = 4414961, int(edited[s2]) = 0 s1 = 7210692, s2 = 4414961, d1 = 87, d2 = 54 Dl.O(d1) = 264051664 Dl.O(d2) = 173635624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7210692, s2 = 4414961, dlinesl.size( ) = 14 s1 = 4732667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4732678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4592897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4592897, s2 = 16323630, int(edited[s2]) = 0 s1 = 4592897, s2 = 16323630, d1 = 45, d2 = 84 Dl.O(d1) = 184735371 Dl.O(d2) = 123566166,109375159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4592897, s2 = 16323630, dlinesl.size( ) = 2 s1 = 4592897, s2 = 16323630, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4592897, Dl.E( ) = 88, 2.41e-05 seconds used appending s1 = 4593354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4733545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4594219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4594219, s2 = 7531189, int(edited[s2]) = 0 s1 = 4594219, s2 = 7531189, d1 = 75, d2 = 66 Dl.O(d1) = 184774789,193131719,262461602 Dl.O(d2) = 267543821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4594219, s2 = 7531189, dlinesl.size( ) = 22 s1 = 11660038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660038, s2 = 4594388, int(edited[s2]) = 0 s1 = 11660038, s2 = 4594388, d1 = 0, d2 = 0 Dl.O(d1) = 175954897,185438066,193713340,200808649,206796209,206364592,200308122,193137743,184783306,175215396,164433894,152577537,139867453,260265292,112635808,98638978,84708635,71138806,58417200,47042577,255657784,21396821,15411037,10652428,10652427,15411032,21396810,28636855,25537901,24809571,24809570,21804489,15743712,15743714,15154033,15154032,21096930,22687598,28305956,28305955,21534382,15519822,15519821,21534380,28306413,28306415,36803184,31428430,23937299,17593837,17593835,18886711,13459248,13459247,18886705,15153852,15153850,15153867,10450968,10450967,11487666,11487664,16487664,15620043,268211735,28932331,37473817,47381129,58768359,71497856,85070072,98995787,112985532,126839578,140188198,152879499,164711537,175465970,185006756,193338247,264190775,206527522,211518400,215596607,265181329 Dl.O(d2) = 175954897,185438066,193713340,200808649,206796209,206364592,200308122,193137743,184783306,175215396,164433894,152577537,139867453,260265292,112635808,98638978,84708635,71138806,58417200,47042577,255657784,21396821,15411037,10652428,10652427,15411032,21396810,28636855,25537901,24809571,24809570,21804489,15743712,15743714,15154033,15154032,21096930,22687598,28305956,28305955,21534382,15519822,15519821,21534380,28306413,28306415,36803184,31428430,23937299,17593837,17593835,18886711,13459248,13459247,18886705,15153852,15153850,15153867,10450968,10450967,11487666,11487664,16487664,15620043,268211735,28932331,37473817,47381129,58768359,71497856,85070072,98995787,112985532,126839578,140188198,152879499,164711537,175465970,185006756,193338247,264190775,206527522,211518400,215596607,265181329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660038, s2 = 4594388, dlinesl.size( ) = 2 s1 = 11660038, s2 = 4594388, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660038, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9631020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6873768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355925, s2 = 13553794, int(edited[s2]) = 0 s1 = 10355925, s2 = 13553794, d1 = 41, d2 = 36 Dl.O(d1) = 160680252,171865752,263092934,273979828 Dl.O(d2) = 112710591,98715230,84787543,71218691,71218690,258682482,259928422,164495177,261107882,273102407,259309212,112710589,98715228,84787542,71218691,255835944,15448067,15448066,254734447,4441427,4441428,7055286,10680649,15448088,16100932,22236010,29583877,38150025,48062740,258124545,85785897,99739762,99739772,85785913,72191879,72191880,72595325,60682578,49281725,39354866,30754330,23331793,23331792,30754326,39354861,49281722,47114005,37216861,28691898,21441027,15445611,10678763,254334956,15448067,15448066,254734447,7055284,10680647,15448081,268634194,47118521,58496887,71218744,59062246,47662103,47662104,59062248,59453935,48062759,48062757,48062797,38150072,29583932,22236049,16100969,11183691,7420575,254769953,16100965,15448086,10680648,10680649,15448088,16100932,22236010,29583877,38150025,48062740,258124545,85785897,99739762,99739772,85785913,72191879,72191880,72595325,60682578,49281725,39354866,30754330,23331793,23331792,30754326,39354861,49281722,47114005,37216861,28691898,21441027,15445611,10678763,254120140,2666925,1544226,877421,806075,491043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355925, s2 = 13553794, dlinesl.size( ) = 22 s1 = 7061783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7061783, s2 = 13788860, int(edited[s2]) = 0 s1 = 7061783, s2 = 13788860, d1 = 6, d2 = 9 Dl.O(d1) = 262037574 Dl.O(d2) = 193191218,200354889,206406497,211411674,206406498,200354891,200354890,200354888,200354889,206406496,211411672,215503035,218883687,221737796,221737795,218883685,218883686,218883684,215503033,214501637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7061783, s2 = 13788860, dlinesl.size( ) = 10 s1 = 7685435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7685435, s2 = 9328101, int(edited[s2]) = 0 s1 = 7685435, s2 = 9328101, d1 = 37, d2 = 51 Dl.O(d1) = 272533375,175290986,184849144 Dl.O(d2) = 207033572,264225758,263554762,165677940,153902029,141230331,127871346,113993191,99969708,86010346,72413828,258142284,30868804,23440562,17166959,17166958,23440561,30868802,39472208,49400729,60801362,71212790,71212792,84781838,72813530,60076213,48679975,38758276,38758275,48679973,52637984,42252796,33273362,25512901,25512903,33273368,26696454,19876102,254966959,9789599,14240787,19876101,257293073,66969335,259139391,87878064,74275649,257649689,40002082,31324388,23833742,255174377,12335417,255563723,31324392,40002086,50020417,61498672,74275659,258258385,61498673,74275661,87878081,101033315,101033316,257700656,142410267,155056075,143130311,140188220,126839600,112985552,98995810,85070091,85070090,87878072,77289760,64140800,52288797,41948156,33005929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7685435, s2 = 9328101, dlinesl.size( ) = 40 s1 = 8744715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8744715, s2 = 13799009, int(edited[s2]) = 0 s1 = 8744715, s2 = 13799009, d1 = 0, d2 = 0 Dl.O(d1) = 164522124,152678020,152678021,164522127,263502095,184850631,193196416,264183445,205779435,200359495,193196414,184850630,184850626,184850625,193196408,200359481,193196398,193196397,193196404,184850632,175292568,263502095,175292567,175292566,184850626,184850625,193196408,200359481,193196398,193196397,193196404,193196417,264183447,200359490,264183443,193196412,184850629,184850626,184850625,193196408,200359481,193196398,184850618,175292558,164522120,273102957,184850616,193196394,264183441,206410560,206410562,206410563,200359497,193196415,193196416,264183445,205779435,200359495,193196414,184850630,184850619,263502089,200359483,200359474,193196392,184850614,175292554,164522118,164522119,164522123,262179745,152678022,263103839,193196420,200359499,264471659,200359478,200359477,193196414,184850630,184850619,263502089,200359483,264471655,273703717,184850624,184850625,193196408,200359481,200359480,263502091,263502093,200359488,193196402,193196401,200359487,263861197,193196394,264183441,206410560,200359489,193196402,184850621,184850620,263861199,193196396,184850617,263502087,184850630,184850619,175292559,263103835,193196390,263103837,262179745,152678022,263103839,193196420,200359499,264471659,264471657,200359483,264471655,200359492,263502091,263502093,200359493,200359497,193196415,193196416,193196411,184850628,175292565,164522125,152678020,139979939,126626347,270577276,28725397,37256904,47162210,257754206 Dl.O(d2) = 164522124,152678020,152678021,164522127,263502095,184850631,193196416,264183445,205779435,200359495,193196414,184850630,184850626,184850625,193196408,200359481,193196398,193196397,193196404,184850632,175292568,263502095,175292567,175292566,184850626,184850625,193196408,200359481,193196398,193196397,193196404,193196417,264183447,200359490,264183443,193196412,184850629,184850626,184850625,193196408,200359481,193196398,184850618,175292558,164522120,273102957,184850616,193196394,264183441,206410560,206410562,206410563,200359497,193196415,193196416,264183445,205779435,200359495,193196414,184850630,184850619,263502089,200359483,200359474,193196392,184850614,175292554,164522118,164522119,164522123,262179745,152678022,263103839,193196420,200359499,264471659,200359478,200359477,193196414,184850630,184850619,263502089,200359483,264471655,273703717,184850624,184850625,193196408,200359481,200359480,263502091,263502093,200359488,193196402,193196401,200359487,263861197,193196394,264183441,206410560,200359489,193196402,184850621,184850620,263861199,193196396,184850617,263502087,184850630,184850619,175292559,263103835,193196390,263103837,262179745,152678022,263103839,193196420,200359499,264471659,264471657,200359483,264471655,200359492,263502091,263502093,200359493,200359497,193196415,193196416,193196411,184850628,175292565,164522125,152678020,139979939,126626347,270577276,28725397,37256904,47162210,257754206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8744715, s2 = 13799009, dlinesl.size( ) = 2 s1 = 8744715, s2 = 13799009, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8744715, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7243637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4736785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4597429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4597474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4598195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13698317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7195585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7195585, s2 = 13329944, int(edited[s2]) = 0 s1 = 7195585, s2 = 13329944, d1 = 21, d2 = 27 Dl.O(d1) = 263865067 Dl.O(d2) = 21542337,15525739,10737667,10737668,15525741,13336870,13336867,18734573,25311263,18887458,13459774,13459775,18734616,25311329,33038842,41982502,41982543,42147453,42202325,33241344,33038882,30533227,30533226,25442588,25442589,33038749,25311277,25311276,30533245,39131893,41982435,39131935,39131934,49061745,41982462,33038815,25311313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7195585, s2 = 13329944, dlinesl.size( ) = 12 s1 = 4739482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4739482, s2 = 14327079, int(edited[s2]) = 0 s1 = 4739482, s2 = 14327079, d1 = 153, d2 = 161 Dl.O(d1) = 193298655,184964303 Dl.O(d2) = 258414841,52681819,257799055,77765235,259668767,260879995 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4739544, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10258871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4600988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4600988, s2 = 5367238, int(edited[s2]) = 0 s1 = 4600988, s2 = 5367238, d1 = 11, d2 = 4 Dl.O(d1) = 184986526,193320506,262453888,211505743,263705316,221802130,224242969,226359381,265084392,228468621,226654296 Dl.O(d2) = 224572541,222176215,219385222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4600988, s2 = 5367238, dlinesl.size( ) = 8 s1 = 8508212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8508212, s2 = 3411140, int(edited[s2]) = 0 s1 = 8508212, s2 = 3411140, d1 = 14, d2 = 2 Dl.O(d1) = 200477565,193325414 Dl.O(d2) = 112956476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8508212, s2 = 3411140, dlinesl.size( ) = 18 s1 = 4601322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8685514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8685514, s2 = 11660717, int(edited[s2]) = 0 s1 = 8685514, s2 = 11660717, d1 = 47, d2 = 57 Dl.O(d1) = 262388126 Dl.O(d2) = 266106769,266849765,275031223,267606479 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4602361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4603223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10243423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13496863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13496863, s2 = 15709118, int(edited[s2]) = 0 s1 = 13496863, s2 = 15709118, d1 = 7, d2 = 7 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13496863, s2 = 15709118, dlinesl.size( ) = 2 s1 = 13496863, s2 = 15709118, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13496863, Dl.E( ) = 8, 2.1e-05 seconds used appending s1 = 7108064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7108064, s2 = 7728570, int(edited[s2]) = 0 s1 = 7108064, s2 = 7728570, d1 = 11, d2 = 13 Dl.O(d1) = 262681073 Dl.O(d2) = 201412837,273875677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7108064, s2 = 7728570, dlinesl.size( ) = 2 s1 = 7108064, s2 = 7728570, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7108064, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 4743942, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4445808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4744720, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4744720, s2 = 9493477, int(edited[s2]) = 0 s1 = 4744720, s2 = 9493477, d1 = 11, d2 = 7 Dl.O(d1) = 193569093,185270658,262684501,153207511,140525154,127178434,259959965 Dl.O(d2) = 71781062,59039028,47637002,37714536,29153953,29153954,28415970,28415969,36913684,46791318,58158759,70872806,258387459,52289266,41948693,33006563,25281762,18709138,13316053,9096728,5951507,3721850,2228520,254296975,5951506,6812021,4272653,4272657,4229594,4229574,2528872,2528873,1458373,1458375,2530672,3304975,5374682,8327612,6793718,267957423,254420811,3466267,5587103,8598351,9510191,10352081,10297968,6770728,4243692,3372154,3372151,1984285,1984284,3372191,5480056,4286271,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550941,4266705,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219482,3705958,4295244,2567942,2567944,4295251,6845345,10321979,6791280,6791279,8594078,5951896,3722193,2228735,1292556,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,1062032,1861004,1861005,3179244,5211047,8133554,12094417,17199196,255990391,30919614,39529990,49463428,60866528,73616843,87238452,101238811,115317218,129245342,142615345,155250900,166934488,177471902,186777764,194882101,201819679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4744720, s2 = 9493477, dlinesl.size( ) = 2 s1 = 4744720, s2 = 9493477, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4744720, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 13751805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13751805, s2 = 8522924, int(edited[s2]) = 0 s1 = 13751805, s2 = 8522924, d1 = 29, d2 = 22 Dl.O(d1) = 272771979,183143161,264122863,263450258,262106376,162276937,150112489,259824522,94787473,94787472,94307321,94307322,259125833,70244060,258615665,259861233,125371833,261595971,163291385,273512393,273670381,263010501,149844688,262232374,259129453,108592925,260967233,273287019,264115513,210496006,264912845,265325097,265148468,224801764,273836700,263454248,262602852,259848894,142731290,260440386,122545409,262062921,273304868,199025878,264673327,274257436,221485829,274171740,264137682,272784616,97847008,83985075,70457148,257929718,37063651,37063650,46942676,58309168,71024809,84589119,87868974,74266993,61490101,61490102,74267007,259504111,74026752,74026751,74026757,61246524,49767655,49767654,61246523,74026756,87630638,90200239,76370605,258983989,259482336,115885881,115885880,112141398,112141397,113332886,99330408,99330409,89743987,75964295,62981204,51302697,51302698,62981206,75964298,70731008,58015813,46642166,36756592,36756593,46642168,58015815,70731010,257626850,59057501,59057500,71798220,85386545,99330415,113332892,127191493,140537503,153219384,165037962,175769949,183413136,173620986,262321822,273154264,173620987,173620988,183413138,175769944,165037958,272595474,153219385,140537504,140537503,153219384,165037962,262321824,193580837 Dl.O(d2) = 137430194,137430197,123700093,109508222,95253962,259077162,78392107,257239114,37161630,37161629,47052217,37161627,37161628,47052218,258052799,65731132,65731131,79086859,79086853,65731125,65731124,65731130,65731129,79086858,259728343,121972677,135894817,122383613,107957549,93519962,79383068,259053276,34316592,26437941,19698754,14124099,9717131,9717132,7443808,5583383,4704416,2833997,2833996,2833386,2833387,2833960,2833961,2054408,1178716,1178717,2054411,3464143,5583439,4703456,4703455,7444032,11219005,16148532,22293179,22296589,29644777,268227500,37585624,29644607,29644608,38211335,254780284,58871551,47490553,37585660,33749491,25941929,19278594,254749974,28663417,28663418,37184189,29649319,267990590,33749563,41623496,47079280,38211588,29645001,22293078,22293077,23200448,30622254,30622267,30622268,37585760,29818538,29818541,33749008,25941331,25941330,25942039,19278705,19278704,20265323,27095506,20196249,14491029,9970504,6552746,4105060,2455432,1419383,807441,457515,457512,807437,1419372,2455410,4105022,254980859,20196105,255736933,20020979,26903917,256736613,55213387,67557199,259151979,81026763,260261470,109408135,109408134,115586121,129471386,123600661,259017500,95153488,271026824,137332832,260209176,162506746,150374489,137332840,132288804,118461095,104289887,90149464,76330439,76330440,256078638,76028132,70323378,70323379,258341342,111630047,125433356,138762662,261914484,106136013,91939229,78014930,64819963,52898154,42491368,33494799,25718755,19089607,254934579,254659489,267934303,13629172,18900280,13468759,13468758,12945619,12945620,9214982,9214980,8807812,5737544,5737543,5740411,3574471,2130511,2130510,3574468,3576751,4505521,2707564,2707569,3775812,2262056,2262054,3775808,6035438,9217374,13475913,18907523,25517318,33277614,25517310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13751805, s2 = 8522924, dlinesl.size( ) = 16 s1 = 15222574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4606490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4286612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8834019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4746058, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8729038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6951340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4608032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8775430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8775430, s2 = 8495141, int(edited[s2]) = 0 s1 = 8775430, s2 = 8495141, d1 = 17, d2 = 11 Dl.O(d1) = 206731704,264202969,193628368,193628369,273712189,193628370,185336164,185336163,185336156,175831199,165106387,165106386,175831197,185336149,185336148,185336155,175831202,165106390,153292874,140612750,140612751,153292876,165106393,165106384,165106385,175831195,175831202,165106390,153292874,140612750,140612751,153292876,165106393,175831193,273540633,193628370,185336152 Dl.O(d2) = 140612748,127266826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8775430, s2 = 8495141, dlinesl.size( ) = 2 s1 = 8775430, s2 = 8495141, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8775430, Dl.E( ) = 18, 2.6e-05 seconds used appending s1 = 4608351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8621794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8621794, s2 = 13981629, int(edited[s2]) = 0 s1 = 8621794, s2 = 13981629, d1 = 19, d2 = 22 Dl.O(d1) = 262211905 Dl.O(d2) = 265712917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7197409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7197409, s2 = 14165809, int(edited[s2]) = 0 s1 = 7197409, s2 = 14165809, d1 = 7, d2 = 7 Dl.O(d1) = 263885387,263885384,273116498 Dl.O(d2) = 263885387,263885384,273116498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7197409, s2 = 14165809, dlinesl.size( ) = 2 s1 = 7197409, s2 = 14165809, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7197409, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 10180113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180113, s2 = 3772503, int(edited[s2]) = 0 s1 = 10180113, s2 = 3772503, d1 = 2, d2 = 14 Dl.O(d1) = 257199654 Dl.O(d2) = 193693775,200791409,206781114,211730020,215774075,219118377,221941767,224366076,226471688,228305668,229915079,231343083,232622665,233779017,234831629,235790599,236664159,237460663,238184012,237754014,237754010,236985142,236985143,236985141,236985140,236985146,236985150,236142658,235218189,235218188,236142656,236985148,237754013,236985152,236142659,235218190,234202732,234202731,235218187,236142654,236985145,236142657,235218189,234202732,233085561,231849767,230476843,228933688,227184757,225182124,222877744,220201799,220201798,262959686,208592143,202937609,196190899,188305584,179251720,168962603,157497557,145062050,131802539,117974621,103828391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180113, s2 = 3772503, dlinesl.size( ) = 2 s1 = 10180113, s2 = 3772503, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10180113, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 7746157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3382977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3382977, s2 = 11052948, int(edited[s2]) = 0 s1 = 3382977, s2 = 11052948, d1 = 2, d2 = 10 Dl.O(d1) = 112229596,112229598,112229597,126085007,139455471,142947766,129620964,115725335,101680404,101680403,115725334,270820210,129620962,142947765,155496949,167130478,272842168,186912480,194998750,186912481,186912482,185457068,262644596,155443790,142861232,261088904,259979285,85605867,85605868,259979287,99556211,99556210,113572152,261157017,262221793,175980866,185457072,193727375,200819531,206804901,211750525,215791964,265384701,224379936,224379935,265860689,228551767,228551768,274416297,222295430,219520062,216234781,212272026,207422070,201540548,194553365,186396655,177038961,177038960,166455244,154747213,142111284,128754591,114856572,259443951,258196513,49061839,49061838,60465010,49061835,49061834,49061833,60465008,73211495,73211496,60465011,49061841,39132007,30533344,23114656 Dl.O(d2) = 46444466,46444465,57799667,258008941,46444469,36579372,256819147,57799665,46444466,46444465,57799667,258008941,46444469,36579372,256819147,57799665,46444466,46444465,57799666,70500509,84035299,70500506,70500505,259259967,111838513,97905175,84035301,84035302,259878995,84035304,70500510,70500509,84035303,70500508,70500507,84035302,259878995,97905176,105718180,91494038,91494039,105718181,91494040,260275751,91494042,77563126,64394935,64394934,259031973,105718183,91494045,91494043,260275753,133821134,128037903,114148832,100115291,86149411,258151553,48430221,38522524,29957462,22592999,255101243,7595036,254711901,4276306,4276305,6815994,6815995,10351282,9074965,5934682,3710801,3710799,5934679,9074958,10327516,255364871,13292567,17877281,12660790,8596550,8596551,6802195,4265806,2550410,1469187,1469184,831114,831113,1469201,2550442,4265860,6802273,6802221,6802222,255003945,20909606,28082708,36551568,46414579,57768088,255256506,59113391,59113392,47715832,47715831,59113398,71851482,257190956,106017304,106017303,120219340,107889272,107889270,122305072,129878796,115981261,115981262,112271230,258416096,70821758,58105213,46733854,46733855,257209282,84380413,98289525,112271242,126130345,129878802,129878801,143208328,152236192,139505064,126130348,112271249,100394855,259468414,101924485,270360960,129866077,260683606,135922579,121995905,107622042,271087276,260921808,272607600,129878807,260133332,270389402,74361935,72844611,60108115,48712891,38790957,38790956,48712889,60108113,72844605,72844622,60108123,48712898,38790960,30206276,22814587,16596059,16596055,16596054,22814576,30206258,257564483,72844583,86439193,100394781,114418115,261214127,262273763,141643801,141643802,154297704,262749587,154297669,154297670,272904064,114418181,128294041,261214119,154297668,166048544,176687164,185786228,262485936,165674956,165674951,165674950,164174680,272990846,141227358,261060748,99966563,86007227,72410651,59675264,59675263,72410650,86007224,88127915,102115711,102115701,88127904,74515759,61734210,61734211,74515762,84433477,70875999,70876000,84433480,93243860,93243858,107646671,122021117,135948713,149172796,161459435,172636070,164174674,152291550,139561711,126186611,112326086,98343064,84433470,74515748,74515749,86007223,260008959,259768154,259390721,269878613,50255913,40236590,31550634,31550632,36916430,28418547,28418546,36916428,46794226,58161779,59699806,54702786,43958780,38256558,38256559,33042809,25314865,25314866,22820418,16600755,16600756,268376887,24567897,18127617,12854065,12854067,18127624,24567913,31719576,34115784,33461118,26251219,19533588,19533587,23730046,31214423,39891827,49912051,61392557,72809042,60071688,60071689,51519573,41302022,32459329,29963102,22598576,22598577,29963104,38528787,48436814,59822891,256964414,66890985,66890986,256280654,34621470,26632162,26632164,30753300,39353790,49280568,54635469,48686988,43892524,43892521,54635372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3382977, s2 = 11052948, dlinesl.size( ) = 2 s1 = 3382977, s2 = 11052948, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 3382977, Dl.E( ) = 26, 1.41e-05 seconds used appending s1 = 3904084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8744913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8744913, s2 = 15906414, int(edited[s2]) = 0 s1 = 8744913, s2 = 15906414, d1 = 33, d2 = 40 Dl.O(d1) = 183886065,262914762,205831122,210935893,206810132,200825234,273543344 Dl.O(d2) = 61452516,61452515,61452514,49974517,49974514,39957920,31283083,268439501,23796901,23796905,17464556,12312505,8316582,5366432,3299114,1940375,1940374,3280102,1929353,1102333,1102331,1929348,3280090,5336013,267891154,11231421,7453469,4712229,2838776,1646773,936367,936365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8744913, s2 = 15906414, dlinesl.size( ) = 2 s1 = 8744913, s2 = 15906414, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8744913, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 4991621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13722075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4613190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4613190, s2 = 4723156, int(edited[s2]) = 0 s1 = 4613190, s2 = 4723156, d1 = 7, d2 = 8 Dl.O(d1) = 185492408 Dl.O(d2) = 192565596 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8675068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4751487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4751487, s2 = 9708374, int(edited[s2]) = 0 s1 = 4751487, s2 = 9708374, d1 = 2, d2 = 11 Dl.O(d1) = 191654489,193763016 Dl.O(d2) = 153543825,140868863,127513592,127513593,140868865,140868866,127513595,113642008,99628168,85678845,72091857,59358021,47966805,38053555,29489689,22151083,22151084,29489691,38053557,47966800,256384801,22151082,22151081,29489687,29489686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4751487, s2 = 9708374, dlinesl.size( ) = 2 s1 = 4751487, s2 = 9708374, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4751487, Dl.E( ) = 12, 4.77e-06 seconds used appending s1 = 7682734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7682734, s2 = 627077, int(edited[s2]) = 0 s1 = 7682734, s2 = 627077, d1 = 42, d2 = 46 Dl.O(d1) = 272411413 Dl.O(d2) = 16070176,11158731,7401335,4675578,2816755,1634114,929295,523811,523812,929298,1634118,2816760,254525529,11158751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7682734, s2 = 627077, dlinesl.size( ) = 30 s1 = 8822283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8009019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7076119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7076119, s2 = 7129173, int(edited[s2]) = 0 s1 = 7076119, s2 = 7129173, d1 = 15, d2 = 9 Dl.O(d1) = 262229025,176077244 Dl.O(d2) = 262961934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7076119, s2 = 7129173, dlinesl.size( ) = 18 s1 = 9687831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7073833, s2 = 14721938, int(edited[s2]) = 0 s1 = 7073833, s2 = 14721938, d1 = 27, d2 = 35 Dl.O(d1) = 262202814 Dl.O(d2) = 192346018,183870259,174200053,163347200,151463550,138761899,125432545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7073833, s2 = 14721938, dlinesl.size( ) = 20 s1 = 4753852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4465285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4465285, s2 = 6552331, int(edited[s2]) = 0 s1 = 4465285, s2 = 6552331, d1 = 51, d2 = 1 Dl.O(d1) = 176128056,185591649,193850239,199062946,199062947,205327012,206903233 Dl.O(d2) = 72000886,72000887,59264834,47869317,47869316,59264832,59264828,59264827,72000887,59264834,47869317,37951328,255883229,15952904,11071166,255072229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4465285, s2 = 6552331, dlinesl.size( ) = 30 s1 = 4754584, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9294512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9294512, s2 = 630314, int(edited[s2]) = 0 s1 = 9294512, s2 = 630314, d1 = 13, d2 = 1 Dl.O(d1) = 224434456,265984200,193859350 Dl.O(d2) = 38205667,29639043,22287382,16143564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9294512, s2 = 630314, dlinesl.size( ) = 2 s1 = 9294512, s2 = 630314, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9294512, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7110962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8055369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9238080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9238080, s2 = 11351902, int(edited[s2]) = 0 s1 = 9238080, s2 = 11351902, d1 = 78, d2 = 45 Dl.O(d1) = 272858535,176152185,185613444,263900505,206918576 Dl.O(d2) = 141039649,127690451,113821876,99807625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9238080, s2 = 11351902, dlinesl.size( ) = 32 s1 = 4755692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9706350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8614227, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3171922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3171922, s2 = 6573532, int(edited[s2]) = 0 s1 = 3171922, s2 = 6573532, d1 = 14, d2 = 89 Dl.O(d1) = 99866038,113885020,127760485,141117785,153790960,165572554,263549797 Dl.O(d2) = 52295263,52295262,268487048,77285829,255251548,269071917,254297140,25277451,33002386,41944251,52284826,256114498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7067783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7067783, s2 = 9248499, int(edited[s2]) = 0 s1 = 7067783, s2 = 9248499, d1 = 17, d2 = 15 Dl.O(d1) = 262130674 Dl.O(d2) = 260476380,99870641,113889155,260476382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7067783, s2 = 9248499, dlinesl.size( ) = 30 s1 = 15175040, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7702841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7199137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7199137, s2 = 10340641, int(edited[s2]) = 0 s1 = 7199137, s2 = 10340641, d1 = 43, d2 = 48 Dl.O(d1) = 263906566,185750706,176303571,165630831,272561331 Dl.O(d2) = 19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,6153231,4877911,4877912,7707492,11579477,16602975,22823356,28993880,36746607,28256655,21055771,15124321,15124317,21048724,21052201,15121623,10429984,10429985,10429348,10429349,15120556,21050727,15122236,15122238,15122221,15122218,15122260,21052639,15121953,10430209,10430206,15121936,20806355,14911503,10253204,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912083,20807065,18081026,18081025,20948639,20948638,26994596,20103893,14414279,9913455,9913456,12819773,12819772,18082616,24512278,26994706,26994522,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,13615625,9323131,9323133,10471930,6904671,4336673,2596203,254491865,10471905,255379777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7199137, s2 = 10340641, dlinesl.size( ) = 2 s1 = 7199137, s2 = 10340641, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7199137, Dl.E( ) = 50, 3.48e-05 seconds used appending s1 = 8684084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8684084, s2 = 3255606, int(edited[s2]) = 0 s1 = 8684084, s2 = 3255606, d1 = 30, d2 = 15 Dl.O(d1) = 262724595,185779159,263986350,263811418,263041218 Dl.O(d2) = 102421579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8684084, s2 = 3255606, dlinesl.size( ) = 20 s1 = 4620342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7143537, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4620778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4620778, s2 = 7829652, int(edited[s2]) = 0 s1 = 4620778, s2 = 7829652, d1 = 0, d2 = 13 Dl.O(d1) = 185793335 Dl.O(d2) = 201088695,264510255,211944399,215953462,219273315,219575070,216296643,212342202,207502010,207502009,201630087,201630086,207502009,207502011,212342201,216296642,219575069,216296643,265021453,216296642,219575069,216296643,212342202,207502010,207502009,201630087,264188910,166583907,154883598,142249612,128897894,114995848,100941692,86958008,73346491,60601360,49200591,39274226,30677601,23261307,16998272,11912443,7968503,5070161,3073792,3073791,5043257,3079557,1797216,1025535,1025536,1027757,579073,323896,323899,579079,579040,579038,1027690,1796096,3078152,5075911,5044195,5044196,7933536,11869512,11924721,7978668,5077831,3079846,1797412,1025641,577922,323324,178660,178658,323313,577905,1025608,1797352,1797278,1797277,3079635,3057747,1782306,1018210,1018211,1785613,3063180,5056174,5096653,5076612,5076616,7944423,7944421,7947363,5065012,5056231,3063223,3063220,5056239,7950155,7991084,5086243,5082299,5050911,3060164,3060163,3079251,5077227,7977998,11892774,7952188,7952190,9169098,7952159,7952156,7939528,7939526,11876597,11211958,7439283,7439281,11211952,11867209,16954809,21708231,21708230,17003995,17003996,11918549,7997190,7997189,11947349,17032833,17033109,23292647,22963963,22963964,17069267,11980021,11980020,8062624,5155425,5155426,8062627,12006380,11875138,11875139,7998217,5091583,5091584,7998218,11948426,254822074,11672660,7781693,7781692,8067438,8069864,5164109,3146865,1840810,1050500,1050501,1840813,1841261,1050711,590980,329615,181603,181602,329611,590964,1050672,1841157,3147477,5165094,7962781,7962779,10879763,8058659,8058660,12003905,11927634,11925230,11925231,17011099,11926832,7980543,5079133,267901131,11926831,17012461,23273615,23256622,16993484,16993485,17021426,11936890,11878520,7940913,7940914,11878522,16963299,11882192,11882193,8045764,8045763,11994008,17081786,23260729,16997711,254180286,23288144,17028840,11943738,7994318,7952577,5058022,3064419,3064417,5057994,5057928,5057929,7796936,4944264,4944265,2983969,2983964,254568156,7973482,7973484,11896927,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997512,7959930,5063297,5063296,5091409,3089782,3089785,5091414,7997964,6000627,3752678,2832210,1643166,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941009,11878631,11881655,16969546,254389588,11927370,11927371,13190429,18562030,23292856,17033425,17033424,254570878,5870538,3665598,2193974,1274303,1030419,1030420,1804604,3089615,5048611,7938656,7985387,5082187,3082363,3082361,5082181,7985379,254564533,3081525,1798364,1798365,3081526,5080587,7982737,11929414,7982729,7982730,11929416,17014421,22283712,16139946,11212202,11212203,7984624,5081736,5081737,7984626,11931624,11879419,11879418,16967495,254567482,18822571,18822570,25414047,254570830,17026108,11941023,7991948,254256634,11211584,16139353,16963515,11875444,11875442,10834942,7162231,4510932,4510936,7162211,7162210,10834917,15653805,12009765,8067083,8067084,12009767,17039892,23300045,23250403,17099235,17099234,23367819,254103720,13410375,9168820,6001063,3752922,2247404,1303619,1303620,2247406,3752925,6001066,7439284,5057801,5057800,7952278,6881317,6881319,6881301,6881298,7947056,5053853,3061688,3061689,5053859,7947070,7959902,5063220,5049467,5049465,5053996,5053997,7947257,8071292,12013394,17099343,17094497,16961094,11933574,11928190,7981626,7981622,11928196,11918689,7973361,5073779,3076664,3076665,5073785,7945901,7945902,8045956,5136058,3123012,1825389,1041952,586686,327643,327642,586681,1041945,1825346,1825345,3122940,5135931,8045759,11994002,11689061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4620778, s2 = 7829652, dlinesl.size( ) = 2 s1 = 4620778, s2 = 7829652, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4620778, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 4758222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4621351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4621351, s2 = 14166155, int(edited[s2]) = 0 s1 = 4621351, s2 = 14166155, d1 = 49, d2 = 3 Dl.O(d1) = 185816534,194049702,264227093,211956545,209746433,204357042,197896565,190316010,181536783,171536949,160333199,148088829,134965229,121154972,106886780,271585305,134965227,148088825,160333190,171536934,181536760,190315982,190315981,190315982,197896523 Dl.O(d2) = 25809324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4621351, s2 = 14166155, dlinesl.size( ) = 14 s1 = 4621702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13800505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4759669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10180906, s2 = 8211821, int(edited[s2]) = 0 s1 = 10180906, s2 = 8211821, d1 = 37, d2 = 33 Dl.O(d1) = 191882566,191882558,262823332,162473726,150339311,143763621,130436828,116594598,102492780,102492779,95121315,81063737,67595979,269372642,44406553,38171087,38171085,48083640,40407380,31715239,28673978,255403347,15434002,21426207,15989250,15989251,22098155,29429496,35096005,44472760,44528048,35151749,27066059,27066058,35151748,38170102,29605068,28079278,28079277,27066062,27066061,21949770,21949769,29272808,37839039,35095569,35095570,40519802,38170036,38170035,38170210,47067842,44756129,36739454,28244160,24309195,24309197,31826420,40523461,50559909,62052362,74850527,88486154,102492783,116594601,130436834,143763628,143763637,156288661,156288663,156288662,167872756,178304007,186488542,177139474,166563542,154860684,142225400,128873306,114970907,100917296,259649332,86935637,86935638,73325684,60581910,60581909,73325682,270874023,114970905,128873304,130280445,261714212,102350509,114970937,260136384,258897628,73325751,73325752,86935757,100917415,259649334,86935678,86935677,100917295,86935640,73325668,258828277,86935641,73325670,73325671,86935643,100917299,270874024,91307224,102350511,102350510,114970940,100917349,100917348,114970939,128873330,114971002,100917407,86935747,86935675,73325690,60581913,60581914,73325694,86935637,86935638,73325684,60581910,60581909,73325682,86935666,100917327,100917413,270874020,77388236,77388235,91307180,88354347,86935756,86935757,100917415,259649334,86935678,86935677,100917295,86935640,73325668,258828277,86935641,73325670,73325671,86935643,100917299,270874024,91307224,102350511,102350510,114970940,100917349,86935689,86935690,100917351,100917412,86935753,73325747,60581940,60581941,73325750,86935702,86935703,100917363,114970954,114970991,114970996,116443572,102350476,88354320,260068843,259537691,74726003,61932157,61932158,74726006,88354336,102350495,100917397,86935736,73325733,73325732,86935734,100917395,102350481,116443576,130280447,128873375,128873374,119759051,119759050,114970975,100917379,100917380,114970977,114970994,114970914,260668085,260265700,100917330,102350472,102350471,114970947,100917356,86935694,86935695,88354330,74726003,61932157,61932158,74726006,88354336,102350495,100917413,270874020,77388236,77388235,91307180,88354347,86935756,86935757,100917415,259649334,86935678,86935677,100917295,86935640,73325668,258828277,99989912,88354322,74725997,74725996,61932164,50441468,40407380,31715239,28673978,28673977,37196311,31715160,24207534,17837633,15470192,10697087,10697085,15470187,21149107,15933739,15933740,13113039,8937085,5833270,3639912,3639913,5475475,3882268,3882265,6202565,9459819,13795443,17408381,17408383,22639763,17077564,16732125,11689538,11689536,16732114,19294860,13795177,13795178,19294844,16461290,16461286,18909008,13477346,13477344,13477315,10970752,10970751,13795221,13795222,19294938,16598613,11576365,11576360,16598602,22817855,30209800,27197785,20271324,14544212,10006797,6576121,6576120,10006795,14544208,20271319,255631352,32095933,32095932,29824274,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925872,15773719,268613530,47019298,58390556,71107354,84641815,71079149,58362650,46992470,46992469,58362648,71079147,84641812,98564716,105862035,91654072,91654071,77726412,270525101,91654093,91654094,105862037,91654075,77726415,64544285,52645125 Dl.O(d2) = 189134418,189134419,196877562,189134417,180193723,180193724,189134419,196877564,263806074,201862484,262697946,115621866,101581795,87614776,87614777,86470577,86470574,259357738,101581768,87614756,258108920,259357736,142823142,129506550,115621879,114452380,100427768,86470594,258176332,48743200,38823001,30239756,22846388,16622837,16622838,22846390,30239760,38823008,257567437,258799397,100427778,114452389,119227609,105034990,90856020,76977670,63866466,52047051,41732236,32811708,32811709,41660268,268733614,76893272,90772165,259000212,121723795,107342777,92938189,78831616,257842217,43000836,33945024,33945023,43000833,48987808,39064281,30472484,254907956,11757430,11757429,11757867,7851827,4983772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10180906, s2 = 8211821, dlinesl.size( ) = 38 s1 = 4759781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4759781, s2 = 15240059, int(edited[s2]) = 0 s1 = 4759781, s2 = 15240059, d1 = 15, d2 = 35 Dl.O(d1) = 194084880 Dl.O(d2) = 6911857,4340917,254222452,479906,270143,149776,254084831,479899,849701,1499221,254194711,254194633,666833,666832,1186967,2067758,256050161,257689271,260758283,143756304,262375677,178298002,264305087,195517079,202370527,265056109,265612653,225041230,227067708,265906473,231776844,233019616,234143704,235166374,235166375,236097075,236944056,237715758,266754365,239056548,239644534,240189351,266968710,239600111,239009266,238366980,237661854,236885358,236031254,235091730,234058732,266144478,230281600,228715426,265754486,224893817,222542038,219803320,216557800,212644103,207856294,202047785,195139996,187063097,263624344,155663443,143112154,129782394,260118820,74265400,61488406,50010378,50010377,61488405,74265398,87867366,260118819,115058093,259456557,73379467,60633311,60633312,73379472,86994807,271368497,128983469,142358253,128983464,115058015,115058013,128983460,261793021,115058031,100987618,86994815,86994814,100987607,115058018,100987611,100987612,100987590,86994795,73379433,60633294,257021249,30707987,30707988,39305725,49232343,60633297,73379439,86994801,100987600,115058008,115319092,101240665,87240217,258823702,129247067,127783437,127783438,141140376,153813777,165595394,166706738,155006148,142358273,128983494,115058041,115058040,128983492,141140383,153813782,154791338,155252803,155006133,142358259,260073086,127783433,115057987,100987578,86994789,86994790,100987580,115057990,100987601,100987595,86994797,73379435,73379436,86994799,100987598,115058005,101240669,87240221,73618495,73618496,258200540,115319101,127783441,127783440,141140378,142358240,128983449,115057999,100987586,100987587,115058001,115058009,261238892,130189205,130189206,142157263,142617153,142617154,142157259,128802493,128802495,127783435,113908954,99890539,85935477,72341729,269562388,48220455,59607249,72341731,85935482,98818291,98818292,112809487,102255673,102255672,115319095,111613836,111613835,125412845,129247061,115319079,101240643,101240642,115319074,115319112,101240680,101240678,115319110,116350399,116350398,115319113,101240684,87240230,87240231,101240686,101240692,101240660,101240661,87240240,87240241,101240699,115319126,116350414,102255733,102255732,116350416,127783429,113908950,99890533,85935474,85935475,99890535,87240210,87240211,101240653,112809488,126666445,130189185,116350383,102255680,101076399,101076400,115152199,129081371,130189186,143518942,142617146,129247077,115319108,115319107,129247071,116350386,116350387,259447930,101240695,87240238,73618504,60867962,49464711,49464712,60867963,269367922,101240702,115319129,260064622,129247049,127783426,113908946,113908943,113908942,101240657,87240215,73618490,60867952,49464706,39531073,39531071,49464702,60867946,73618482,87240200,74626929,74626928,87240195,74626937,61834709,61834710,74626939,88257316,259447922,88257094,259539734,270919112,102255608,116350343,102255839,88257479,74627116,74627117,88257481,88462944,74829462,74829461,88462941,85370005,71780602,61834912,61834753,50350715,40324050,31634910,24128048,24128049,31634859,24128025,17765009,17765011,17765037,17765036,24128076,31634828,40323930,50350558,61834553,50350746,50350745,61834518,61834517,61834820,50350817,40324120,40324121,50350787,50350786,61834868,74627089,88257450,88257347,74626965,74626963,73463627,60715829,60715830,73463630,87080537,88257237,74829464,62033038,50541495,40506176,40506175,50541493,53025905,42586118,42586117,50350707,40324039,31634904,31634905,40324041,40323983,31634861,31634863,40323986,50350553,50350554,61834550,61834552,74626754,270877975,87080531,101076404,102255611,88257187,74626826,61834904,61834865,61834864,74627084,88257441,102255815,102255818,88425158,74792975,74792974,88425163,102426573,116350363,116350361,130189175,134645016,120847061,106598248,92300275,78273539,65000574,53025902,53025900,269409338,74829459,71780590,71780589,85369992,86581575,88462947,102255579,88257126,88257127,259530565,101076406,260079281,128455683,141807856,261967702,140524562,130189201,130189203,140524564,140524561,127177864,127177863,130189172,130189173,140524565,129247087,115319120,115319119,260064620,155252802,261313478,113318339,99314794,259959915,261137735,128455688,141807860,272698048,128455677,114572391,114572390,128455674,127177871,113318344,99314799,99314798,260560201,127177858,140524555,140524580,140524589,127177894,127177895,140524591,128455682,128455681,128455690,114572404,100542200,86581579,86581578,100542197,260061292,100542194,114572397,102255784,88257409,74627038,74627039,88257411,102255787,99314843,271323557,99314793,85369997,71780593,71780592,85369995,99314788,113318336,127177860,140524558,128455672,271530992,100542188,113318362,113318361,127177878,140524570,140524586,127177891,127177890,140524584,261322086,140524572,140524596,127177900,127177899,114572407,102255785,260145133,99314841,271790531,99314785,99314786,113318333,113318391,270828993,85370038,99314850,113318389,127177904,140524582,260710830,99314836,85370032,85370033,99314838,113318374,127177893,127177906,127177902,113318387,99314847,99314846,113318385,113318364,113318363,127177880,116523572,102426595,99314814,85370014,71780609,59038522,59038523,71780612,85370020,99314821,113318368,127177886,140524577,127177908,261137737,127177897,127177898,140524594,153207015,143688536,130361820,130361817,116523568,102426591,88425180,88425181,99314831,85370029,77607595,77607596,91537534,102426602,88425189,88425185,74792987,74792986,88425183,85370011,85370010,85370016,85370015,99314817,113318366,113318398,99314856,89479896,89479895,99314868,85370055,71780641,59038544,47636481,37714034,29153456,21844861,21844860,29153453,37714028,47636469,59038525,71780614,85370025,99314828,105760070,102426603,88425193,74792992,61996592,50505043,40469313,40469312,50505039,61996586,74792983,88425179,102405994,88405682,88405683,102405997,102426617,102426618,116523580,113318369,99314861,85370045,85370046,99314864,87807876,87807877,99314830,86448388,72853348,72853350,85370052,71780640,71780638,85370050,91537350,105759949,119993550,119993557,133859066,129725807,115826591,115826592,105759996,91537430,91537429,105759993,113318351,102426631,88425220,74793012,61996606,50505052,40469316,40469315,50505048,61996600,66895368,54638019,54638018,66895362,74774090,88405688,102406001,88425201,74792996,64438335,64438333,77607343,91537359,88405671,88405670,102405976,100261072,86298512,72700998,59963253,59963252,64438441,60116564,60116565,72853353,86448393,100404756,88425175,74792980,269413348,61977785,258914985,77607418,64438430,64438431,77607420,91537408,105759976,105760058,102426629,88425216,88425215,88425203,74792998,66895370,54638024,43895086,43895085,54638022,50485536,50485537,61977779,74774095,64438568,64438569,77607567,88405690,77607555,77607556,88425212,88425211,258914982,64140358,52563240,42203221,33242124,33242125,42203225,52563246,64438446,77607363,64438354,52563167,42203179,33242103,33242098,33242096,42203149,52563129,52563133,60116614,48721813,38800733,30216533,30216532,38800727,41947737,33005561,33005562,41947742,52288342,48721718,38800679,30216507,30216509,38800683,48721730,52563386,42203314,42203313,52563289,42203273,33242155,33242153,42203270,52563328,64438559,77607562,77607309,64438495,52563275,42203239,33242135,25492209,25492210,33242139,42203245,52563281,64438378,52563191,42203196,33242113,25492199,18887902,18887900,25492185,33242077,42203138,42203216,48721740,48721738,38800722,38800721,41947764,33005577,25280623,25280622,33005571,41947756,38800700,30216517,22824179,22824178,30216513,33242144,25492225,25492227,33242182,42203323,52563395,64438547,52563321,52563322,52563408,52563407,64438639,64438640,63866213,63866212,258387344,52563266,64438482,259035295,64438362,52563170,42203181,33242104,33242105,269081417,42203130,52563112,60116592,60116593,72853372,64140355,52288350,41947748,41947747,52288346,60116609,48721753,38800694,38800693,42203306,42203301,42203300,269505119,52563569,64438833,77607756,86448412,91537457,77607481,64438479,52563376,52563378,64438617,77607475,64438475,64438474,64438578,64438579,77607388,77607389,64438857,64438357,64438358,269505113,52563173,64438364,77607371,91537381,105759897,91537271,91537272,105759901,91537525,91537265,77607259,77607258,86448404,257202730,48721746,48721747,60116605,64438812,64438664,64438663,77607631,64438832,52563568,52563567,64438829,258408362,90816649,91537840,100041260,91537553,91537449,91537450,77943484,257793130,64439799,64438528,64438527,77607524,91537488,77607646,77607645,77608237,64439786,52564535,52564536,64439604,52564452,52564450,64439702,64439692,64439693,70805901,70805902,255263724,52017954,63832955,64438657,64438656,77607626,64438808,52563554,257793109,64438854,64438853,77607768,91537617,86078363,86078350,86078349,77607728,64438792,64438793,64439770,72041528,72041527,85629480,257793136,77608319,64439787,257202696,42204067,33242631,33242630,42204063,52564447,48582695,42204012,33242596,33242579,33242580,42203979,52564069,42203795,42203796,52564072,42204156,33242685,33242683,42204147,52563950,59745480,48362175,48362176,52564511,59745658,48362318,48362319,59745547,48362241,48362242,59745549,64439540,64439722,64438693,64438692,59305991,47911674,37995631,37995632,42203471,52563213,52563212,64438408,52563432,52563431,48865101,38945379,38945378,42203991,33242628,25492489,25492488,33242644,42204021,33242601,25492463,18888035,13460167,13460166,18888029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4759781, s2 = 15240059, dlinesl.size( ) = 2 s1 = 4759781, s2 = 15240059, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4759781, Dl.E( ) = 36, 2.5e-05 seconds used appending s1 = 4759879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9391498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7172848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7172848, s2 = 8704462, int(edited[s2]) = 0 s1 = 7172848, s2 = 8704462, d1 = 10, d2 = 21 Dl.O(d1) = 263559766 Dl.O(d2) = 212006772,207116454,201187339,194145198,185923655,272567848,165838115,154068742,141394608,141394609,261196792,263559755,263561202,201187339,264513461,216003108,264769838,219313979,216003109,212006773,212006774,216003111,219313982,219313985,264999902,223939471,221463073,221463074,218573566,215140928,264442053,199705974,192415434,183947517,174284312,174284311,183947514,174284317,163435979,151553308,138850738,260470871,97788039,97788038,260470873,116514168,102418762,258916425,61990470,257101389,31768061,40462705,50498679,61990468,53196978,42748010,33718746,25912175,25912174,33718743,42748007,257827493,78466043,92505823,260317611 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8541455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5103950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4761287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4761287, s2 = 15091939, int(edited[s2]) = 0 s1 = 4761287, s2 = 15091939, d1 = 14, d2 = 35 Dl.O(d1) = 194180882 Dl.O(d2) = 20820783,27985652,36445174,28815324,28815325,31570260,24064632,24064630,31570255,40257667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4761287, s2 = 15091939, dlinesl.size( ) = 2 s1 = 4761287, s2 = 15091939, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4761287, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 7218939, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4761991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5002858, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4764017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4764177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4628181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9426965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14205011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14205011, s2 = 4765822, int(edited[s2]) = 0 s1 = 14205011, s2 = 4765822, d1 = 0, d2 = 4 Dl.O(d1) = 176685556 Dl.O(d2) = 194306546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14205011, s2 = 4765822, dlinesl.size( ) = 2 s1 = 14205011, s2 = 4765822, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14205011, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 4629414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9042249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9042249, s2 = 10239779, int(edited[s2]) = 0 s1 = 9042249, s2 = 10239779, d1 = 18, d2 = 20 Dl.O(d1) = 263185157,264242917,207263490,201350821,194324861,186121974,176709827,166072651,154323128,141670730,128321002,128321001,141670728,154323124,261763005 Dl.O(d2) = 154323126,141670729,128321002,128321001,262275699,166072659,176709834,263575907,186121980,273138035,260640121,100420035,100420034,114444378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9042249, s2 = 10239779, dlinesl.size( ) = 22 s1 = 4629849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9705851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7113942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4630148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4630148, s2 = 6988167, int(edited[s2]) = 0 s1 = 4630148, s2 = 6988167, d1 = 8, d2 = 12 Dl.O(d1) = 186130398 Dl.O(d2) = 261043546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4630148, s2 = 6988167, dlinesl.size( ) = 12 s1 = 8435342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14107401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4751044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4751044, s2 = 1113619, int(edited[s2]) = 0 s1 = 4751044, s2 = 1113619, d1 = 130, d2 = 96 Dl.O(d1) = 193754864,187937151,178840546 Dl.O(d2) = 28676348,22501926,22501924,29864014,25300076,25300075,28271176,28271177,36766194,254585018,16343432,15328974,10587384,10587385,15328975,21295907,22511922,254182632,23566115,17277460,12157071,8187679,8187678,12157068,17277453,23589244,23038336,22484100,22484099,29849488,267912534,37000924,28503437,28503438,31072476,23589030,23589031,31072479,30166515,30166516,31070427,267840560,22477629,22477630,29844248,22490832,16317677,16317675,15920764,11043287,8183180,5252860,254347684,11365270,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516977,22516946,16343475,11371815,11371814,11367759,7552301,4775991,4775992,7552304,11367765,16337796,16337795,11425417,7594840,7594839,11425412,16409343,22514724,22514725,29352979,22505660,16331799,16331798,22505657,23614325,28515943,23629758,17313830,12189346,11343626,11343624,16303168,22472796,29840341,29354192,22023144,267888630,35102694,27016383,20124491,20124492,27016384,20303506,20303507,255511178,38144361,37707127,29883401,22528307,22528308,29883402,30206317,38790999,30374156,22972458,22972456,29928199,22567818,22567817,29928197,29862181,29862180,38412609,29840244,28472638,28472639,22229236,17089464,17089465,22230362,22230363,27096482,27096483,21105367,15160359,15160357,11179371,11179370,15151349,15151348,21093399,28302151,25195637,25195636,21105503,15160452,10455165,10455167,8298706,8298705,5353645,5353643,8298717,12288135,17433900,22229312,22229310,22567762,21094972,21094971,28303986,28338026,36834813,46717499,58057657,58057891,58057532,46683685,44780279,35355898,35355899,28266200,21063475,21063476,28266202,28301637,21092997,17008840,16459652,16459653,22228842,28300121,28300120,36769498,36769499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4751044, s2 = 1113619, dlinesl.size( ) = 14 s1 = 4631964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14650679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14650679, s2 = 4632265, int(edited[s2]) = 0 s1 = 14650679, s2 = 4632265, d1 = 24, d2 = 12 Dl.O(d1) = 259803918 Dl.O(d2) = 186194360,176799179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14650679, s2 = 4632265, dlinesl.size( ) = 8 s1 = 4482989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4769308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9485893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4633432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7226370, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4136916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4136916, s2 = 8680999, int(edited[s2]) = 0 s1 = 4136916, s2 = 8680999, d1 = 5, d2 = 12 Dl.O(d1) = 154602169,166322269,176920740,176920741,186296173 Dl.O(d2) = 177397168,186712781,194826057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4136916, s2 = 8680999, dlinesl.size( ) = 6 s1 = 8676824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8761289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4770707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7115007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7115007, s2 = 5008653, int(edited[s2]) = 0 s1 = 7115007, s2 = 5008653, d1 = 13, d2 = 11 Dl.O(d1) = 262763679 Dl.O(d2) = 207387345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7115007, s2 = 5008653, dlinesl.size( ) = 14 s1 = 9623197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8618075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4772260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4636198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4636198, s2 = 16186378, int(edited[s2]) = 0 s1 = 4636198, s2 = 16186378, d1 = 66, d2 = 20 Dl.O(d1) = 186403691 Dl.O(d2) = 77545145,64376776,258147494,42144528,33185157,25439970,25439969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4636198, s2 = 16186378, dlinesl.size( ) = 62 s1 = 11660004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660004, s2 = 5009860, int(edited[s2]) = 0 s1 = 11660004, s2 = 5009860, d1 = 0, d2 = 0 Dl.O(d1) = 232811076,231548792,230140828,228555017,226751511,224683415,222301549,219526989,216242236,212279819,207430056,201548763,263636140,177049523,166467198,154760966,142127889,128774016,271865894,100827071,86845785,73232666,60485752,49082269,39152145,30554340,256464851,49082270,60485753,73232667,86845787,100827072,114877833,128774017,142127891,154760967,166467200,177049524,186406315,194562195,201548765,207430058,212279820,216242237,219526990,222301550,224683416,226751512,228555020,265749000,232811077 Dl.O(d2) = 232811076,231548792,230140828,228555017,226751511,224683415,222301549,219526989,216242236,212279819,207430056,201548763,263636140,177049523,166467198,154760966,142127889,128774016,271865894,100827071,86845785,73232666,60485752,49082269,39152145,30554340,256464851,49082270,60485753,73232667,86845787,100827072,114877833,128774017,142127891,154760967,166467200,177049524,186406315,194562195,201548765,207430058,212279820,216242237,219526990,222301550,224683416,226751512,228555020,265749000,232811077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660004, s2 = 5009860, dlinesl.size( ) = 2 s1 = 11660004, s2 = 5009860, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660004, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7115366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8484528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8484528, s2 = 7190957, int(edited[s2]) = 0 s1 = 8484528, s2 = 7190957, d1 = 16, d2 = 14 Dl.O(d1) = 166497630,177078685,186433363 Dl.O(d2) = 263810558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8484528, s2 = 7190957, dlinesl.size( ) = 12 s1 = 7265232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7265232, s2 = 4741991, int(edited[s2]) = 0 s1 = 7265232, s2 = 4741991, d1 = 41, d2 = 55 Dl.O(d1) = 264738560 Dl.O(d2) = 193367049,185038126,175499747,270872152,257012928,47425602,47425603,58812665,257593562,258824656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4773495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9582210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4638359, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7115981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7115981, s2 = 13277950, int(edited[s2]) = 0 s1 = 7115981, s2 = 13277950, d1 = 19, d2 = 17 Dl.O(d1) = 262776335,262782270,264544971,265160753 Dl.O(d2) = 261893346,139291023,125942352,260187616,98149674,98149675,100783344,257123442,268703670,255608488,272774289,255934096,271161103,270789714,257999996,258192141,39075041,255958897,11762281,11762282,16820343,11762417,11762416,16820548,23063960,16815503,11758624,11757917,11757916,7851838,4983776,4983690,3010409,3010410,4983304,3010262,3010264,4983344,7850878,11758637,16815531,16820057,11762101,11762098,16820047,23069904,22622112,16437136,11452080,7617207,7617208,11452084,13939095,19477406,19872198,19872032,14237779,9787515,6434629,6434626,255318261,26174803,26174806,34018763,257846931,271022067,255513802,257694367,17962222,17962221,12728655,12728654,17962254,256063438,255608622,50967772,41574940,32679379,25001308,18475678,13125837,8946466,8946464,13126405,13126400,18476670,25002679,25000105,18474945,18474950,18069497,18069498,24495937,24495932,24726626,24726630,32342522,25724861,19093747,255431035,254751937,7233879,10933206,15782155,256500524,4269817,6807863,7671301,5932851,254641753,4235395,4235394,6747132,6828178,6792978,6792982,10323860,9061531,9061532,5937207,5937206,9078342,10298800,10298801,12660777,17877269,17203491,12098057,10360775,6824436,6824434,10360773,255368941,10246425,14902486,11754923,7848609,7848608,11754920,16810093,23056937,30465461,268369830,36898273,43956942,37409874,37409873,29919170,22560373,22560374,24367879,18500835,13144173,13144174,255796696,26206721,19496710,13955510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7115981, s2 = 13277950, dlinesl.size( ) = 2 s1 = 7115981, s2 = 13277950, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7115981, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 13277949, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4775950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4775950, s2 = 6720558, int(edited[s2]) = 0 s1 = 4775950, s2 = 6720558, d1 = 8, d2 = 9 Dl.O(d1) = 194755556,186634759,262847132 Dl.O(d2) = 257691862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4775950, s2 = 6720558, dlinesl.size( ) = 12 s1 = 9435360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9435360, s2 = 11181730, int(edited[s2]) = 0 s1 = 9435360, s2 = 11181730, d1 = 57, d2 = 40 Dl.O(d1) = 254449849,254449851,7135354,4492215,4492217,6118892,9341604,9341609,6118896,6118895,6097956,3815368,2285618,2285619,3815371,6074945,3800988,2276690,2276692,3800995,6074966,9274352,13547349,9319723,9319726,9329744,11400169,9305278,6095368,6095367,9305273,13589974,19038169,25656672,33424680,33393079,25627848,19012852,13569703,9290821,9290822,13569707,19012860,25620586,20010123,14330821,14330820,20010120,20009823,20009822,24192383,25594198,33354485,25767378,19127639,13657250,13657251,19127640,25134524 Dl.O(d2) = 258765040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9435360, s2 = 11181730, dlinesl.size( ) = 14 s1 = 9264118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4641457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7116566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4642482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4642482, s2 = 7719556, int(edited[s2]) = 0 s1 = 4642482, s2 = 7719556, d1 = 13, d2 = 33 Dl.O(d1) = 186725301 Dl.O(d2) = 264267279,212443975,216384436,264848368,223247982,220645887,217586953,217586952,220645884,264602328,217073762,274234384,188365126,273632360 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7733943, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7911139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7911139, s2 = 7353627, int(edited[s2]) = 0 s1 = 7911139, s2 = 7353627, d1 = 81, d2 = 66 Dl.O(d1) = 256822058,20953845,255010964,256287350,269299557,6849754,4298463,2569920,1479571,1479573,2569926,2220520,2220519,3707907,4253643,4253646,4294193,4235460,4235459,4301599,4301562,4301560,2571827,2229002,1292673,829129,467860,467864,829138,1465262,2543299,4254181,4280956,4276226,4276228,6800747,6800743,6774482,6774485,10302347,10356660,6820705,6820706,10356666,254767077,7392938,11146085,10996597,10996596,10979952,10979951,255437299,28078933,28078932,25253221,18682420,13289579,9072357,5932765,5932767,9072363,9073119,12097669,12097670,14970343,14970342,15015642,10343928,6810004,6810005,10343932,15015646,17880452,20978119,15066574,10390328,10390329,6883654,6883656,10441757,15139445,17184952,12083346,262789807 Dl.O(d2) = 265756346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7911139, s2 = 7353627, dlinesl.size( ) = 106 s1 = 14707211, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9048384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9048384, s2 = 14209153, int(edited[s2]) = 0 s1 = 9048384, s2 = 14209153, d1 = 12, d2 = 17 Dl.O(d1) = 173076901,173076902,182961063,173076900,272763841,136362376,149628086,161925420,173076905,173076906,263008785,191594291,274015046,182961066,191594292,199014486,274165642,265324457,225836742,265324455,264912107,214725470,265128349,274389515 Dl.O(d2) = 224793327,224793328,224793335,265234539,216405249,212468114,207652141,201810844,194871298,186764319,177455792,166916036,155230073,155230074,166916039,177455798,186764324,194871302,201810855,264550039,207652150,201810849,274051036,177455796,263607997,201810852,207652154,212468127,216405266,219669718,218994722,215629061,211556971,206573038,206573039,211556973,211556969,206573035,206573034,206539790,200502598,263870414,211529019,263114818,200540903,193397606,193397607,200540905,206573037,200540913,200540907,193397608,185073734,175540367,259328054,140271835,126923616,258077966,126923612,113069650,99080962,256887100,85157641,85157640,268926530,85157638,71590800,58868195,255419298,267966732,37581498,47486664,58868198,71590805,85157647,99080951,85157631,85157630,99080950,113069636,257467268,99080961,85157637,71590799,58868192,267966730,37581495,47486659,58868191,71590798,85157636,99080945,99080946,113069634,99080956,85157633,85157634,256887096,126923605,140271825,152898157,140207741,258701856,140271830,126923607,113069645,113069646,269790108,140271823,270818708,271780254,260547362,270818710,152962211,270818712,140207748,126860771,113008541,113008542,126860773,140207745,126860769,113008539,113008540,261125065,261675028,126860759,113008532,100372631,86416835,72821951,257562313,38767148,30183634,30183636,38767151,47820090,37898150,29329622,22394073,22394074,29754781,268607904,30852311,23421667,23421666,30852309,29328269,21998011,21998007,29328259,37545206,28999780,21714683,21714684,28999782,24065068,24065070,24065082,17709567,17709568,24065087,31570738,30879626,23448772,22454798,16286145,16286144,22454778,29822039,38394411,254774908,37321710,38323922,38324292,30251997,22857066,22857065,22454780,268406731,38394418,39971930,39483311,39483310,44789981,35365687,35365677,27242410,20311649,14576654,14576653,20311647,27242401,29822032,23362320,17093493,17093494,23362325,18297384,18297383,17709557,12527341,12527340,17709550,14576697,12006660,8063085,8063086,11714934,8119940,5202039,5202040,8119942,12075243,17173949,23450462,30881769,257034745,60817210,258846073,101178172,115254376,101178166,101178167,115254375,115254377,127715243,127715249,113844216,99828002,85873959,85873960,72281654,59547176,48160260,38251073,29685923,29685924,38251075,39741720,257046433,49760449,49760450,61239569,74020268,260100249,272596319,272893848,167055245,177561403,167055238,155415354,155415355,152473825,152473826,272532592,164342510,175136557,175136560,175136559,184714515,175136551,164342512,152473828,139751753,259309268,112504297,126375656,139751749,259928484,258058252,258058250,112504295,126375655,139751746,260529876,273329499,164342517,260529878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9048384, s2 = 14209153, dlinesl.size( ) = 2 s1 = 9048384, s2 = 14209153, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9048384, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 5015773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8732633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4781039, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4781867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4781867, s2 = 15074892, int(edited[s2]) = 0 s1 = 4781867, s2 = 15074892, d1 = 0, d2 = 21 Dl.O(d1) = 194986064 Dl.O(d2) = 7502914,8219981,12189611,12189813,12189812,11831269,11831270,12189817,12189816,17314323,23630189,23630089,23630088,31116515,23630164,255911423,22198526,16069489,16069488,22198049,16069103,16069104,11158197,7401008,4675379,4675382,7401012,7507308,4745540,2860010,2860011,4745544,7507321,11307419,11158373,11158372,12319746,8321356,5369495,5369498,8321362,12298179,11158347,11158346,7401494,7401495,7921785,5036338,4675689,2816817,2816819,4675699,7401536,9229908,11018120,7400920,7400919,7400734,7400730,7502898,11300918,11300925,8220000,8219999,11263764,7477568,4725856,2847439,2847437,4725841,7477539,11263712,16068638,16069547,16068967,11967886,11967887,11158104,7507372,7502667,7502664,7507350,7507349,8321494,8321495,8321271,5369444,5369441,4675799,4675797,7132603,5369566,5369568,8321490,8321318,8321321,8321569,7401500,7401502,11158993,11159091,16070626,11300945,7502910,6591062,4129241,4129243,4675113,7400524,11157483,16068581,18923768,18923769,22419536,17438449,12292153,8301740,5355744,3291751,3291750,5355736,8301722,12292118,17438416,23766346,25848826,25848827,33653230,256492318,65120074,55462929,44614242,44614243,52523423,42165022,33204841,25457616,25457617,33204846,269080567,53910269,43386070,34287023,34287025,43386072,53910273,65977124,79341495,268429810,86051258,86051257,93473857,93473856,95330706,81271765,67804375,55462943,55462944,67804377,78402445,65120079,53134577,53134579,53134572,53134573,65120072,65977151,53910295,43386082,34287032,34287031,43386080,257864089,59181141,47781936,37858132,29289313,29289314,37858124,29289308,29289307,37858120,37858126,47781931,59181132,65977117,53910267,53910266,65977111,79341490,93473809,79341528,79341529,93473845,107906009,99446343,85504758,85504754,258104231,258104229,47781970,47781972,59181193,71919431,81276085,67808423,55466687,44617637,35235604,27140080,20232523,20232521,27140077,256757157,257922499,81276075,81276094,71919414,258727995,257494189,47781966,59181186,71919421,67808440,55466704,44617647,269196353,67808439,81276101,95335154,109590012,99446346,85504762,71919423,71919422,81276117,67808455,55466716,44617655,35235619,27140095,20232538,14518504,9990103,9990101,14518499,255755153,35235610,44617644,55466701,67808435,81276096,95335131,109589988,123779914,137503811,150533789,137503819,123779930,109590006,109590007,109590014,95335157,81276110,67808446,55466712,44617653,35235616,27140090,27140091,256757161,55466698,55466714,67808406,67808405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4781867, s2 = 15074892, dlinesl.size( ) = 2 s1 = 4781867, s2 = 15074892, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4781867, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 11660314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7764521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4648205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4648494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4783841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4784458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8733375, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9265191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9265191, s2 = 9248064, int(edited[s2]) = 0 s1 = 9265191, s2 = 9248064, d1 = 16, d2 = 15 Dl.O(d1) = 264490510,263235607,263970099,274117535,177735079,263970105,264811433,212619041,207826074,202010826,195095973,195095974,195095996,195095995,264560515,202010830,263884218,177735056 Dl.O(d2) = 202010846,195095993,195095994,192094137,183558289,263235609,177735058,187013654,195095984,202010836,202010850,265037881,207826087,264748184,183558289,263235609,177735058,187013654,195095984,202010837,207826082,202010855,263884230,167238667,155607884,155607883,167238664,177735075,187013670,263884216,177735054,187013646,264280973,212619040,212619049,207826088,202010845,195095993,187013660,187013661,187013653,187013654,195095984,202010837,207826082,202010855,264560521,264748178,202010827,195095973,263526992,272601211,167238644,177735054,263526996,273116038,155607876,263235611,167238659,155607881,143058572,129728009,115829030,101782957,87810781,74207689,258102888,39934871,31259842,31259841,257007658,26037879,26037878,33859236,256604041,24906614,18402446,18402445,13776481,254942997,9443575,13061293,13775707,18388296,13061335,13061336,18388298,24887754,32532480,256006979,17415652,13060902,13060903,18387628,24886957,29641072,22289498,16145525,16145526,19271229,19271228,14175622,9745349,9745348,7436384,4698943,2831041,1642512,1642513,2831048,4698956,6002556,3753878,254443771,9171001,13413123,11180489,7418118,7418119,11180492,16097203,268224069,22232021,17738710,12551114,12551113,17738709,24097353,31601517,40286430,50307780,61788307,59930465,59930464,67541125,81011029,85608501,72019998,72019997,72019991,59283082,47886613,47886614,41129066,32315795,32315796,41129067,48180881,48180862,38271640,29705281,22350483,22350482,29705278,38144558,48057723,59449121,62990567,62990568,60252309,60252310,257565322,48859540,48859539,60252322,57849124,46493114,36626631,256824215,57849127,60472943,255902124,39139155,49069539,57849239,46493231,46493232,57849242,46493242,36626787,28153207,28153208,36626574,36626576,33150517,28153029,20974514,15063756,15063755,255798261,20974564,15063752,15063751,255798257,28153164,20974633,20974621,15063793,10388083,10388082,15063790,20974615,15063814,15063815,20974645,28153178,36626747,46493198,50183341,40158705,31474297,23977938,23977937,31474294,40158702,50183337,61667991,50183326,40158694,31474289,31474285,23977929,17630775,254858015,5434968,5434969,8420813,12452453,16096941,22231700,29579505,38145738,48058744,46493183,36626718,28153157,20974626,20974624,23977914,31474266,40158665,40158747,40158714,31474302,31474299,40158707,40158679,40158680,50183299,61667968,61667990,50183324,50183322,257079375,40158683,50183300,61667970,71035959,58320336,58320335,61667915,59899264,48505508,38590559,30017978,30017980,38590566,48505518,50183313,47025002,37136666,28623892,28623894,37136674,47025015,47063474,58439039,51321839,51321840,60658722,49259157,49259158,60658725,72937460,72640863,59899298,59899299,268972730,60658710,60658711,73404199,86535741,100494456,257023522,88063770,74451555,74451554,85098519,71527111,58798097,257603892,49259145,49259146,60658707,58798093,58798094,71527106,85098515,85098668,71527281,58798254,257023524,37503816,47411335,58798201,71527215,59953567,48561331,48561334,55326508,44480502,44480503,44480513,38654229,254982852,16493848,11491786,7643210,4835350,4835347,7641547,6868979,6868982,10419743,15107107,16486593,16486595,14614872,10056006,10056003,14614946,20361314,27300233,27300145,20361259,14614910,10055982,6607292,6254563,6254562,9534398,10055995,14614930,20361284,23569193,17257851,12137933,10863274,10863273,15692226,20361042,27299827,24561168,18122137,16707918,11667341,11667339,16487814,22687835,26113886,31986485,31986484,30066478,22687934,22687933,27964338,22679450,16485895,16485894,256768833,20361148,14614853,14614848,20361135,22944491,16708413,11667711,11667710,16708407,22944471,30343184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9265191, s2 = 9248064, dlinesl.size( ) = 18 s1 = 10354985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354985, s2 = 6994361, int(edited[s2]) = 0 s1 = 10354985, s2 = 6994361, d1 = 23, d2 = 12 Dl.O(d1) = 39938104,259499845 Dl.O(d2) = 261111750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354985, s2 = 6994361, dlinesl.size( ) = 24 s1 = 8621672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4785226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8459639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8459639, s2 = 6630245, int(edited[s2]) = 0 s1 = 8459639, s2 = 6630245, d1 = 18, d2 = 17 Dl.O(d1) = 260590582,99303375,85358259,71767980,59024284,47620864,255895946,21829579,16932592,16932591,16594519,11573492,7703627,7703628,11573498,16594534,22812584,30203916,29408643,29408642,30203842,30203840,37428312,28886274,28886277,28907096,28232068,28232067,36725806,38358568,38358567,48268983,38358640,29786985,22422210,22422211,28281515,28281517,36777575,30203920,22812588,22551903,22551905,29908322,28281466,28281465,36777526,42452669,40441971,40441973,46662904,38465836,29908412,22551958,22551959,29908418,38465826,40442013,40442024,38465817,29908398,29908397,256957413,257197828,31515882,31515883,40075943,31394595,31394594,33206146,33206148,33206228,33206226,42166401,256432626,34211913,256976090,41658675,38697997,38697995,43309863,48613285,48613419,43309859,34211579,26337882,26337883,34211581,34211641,43309908,37803763,34211540,26337858,267791786,22743923,16535933,16535934,22743924,30123392,22744168,16536110,11525415,7667311,4851472,2923610,1695955,964386,964383,1695948,2923597,4851436,7667258,11525321,16535973,22743842,22743843,22739860,22739862,22744074,22742482,16534693,16532269,11522073,7664544,7664549,7665277,11522844,11522843,11522977,7665263,4849897,2922475,1695233,963974,963968,543217,543216,963963,1695213,254125992,7665363,11523140,16533512,254362932,11525389,11525387,16536069,254543414,38700469,30123553,22740996,16533284,11522962,11522961,11523219,7665416,4849977,2922521,1695249,1695247,2922514,4849972,7665405,11523208,16533584,22741403,30123953,22741689,16533834,16533833,22740626,16532990,11522752,7665101,4849813,2922424,2922422,4849802,7665080,11522731,16533008,22740651,30123234,38700389,48615810,58592113,48615049,48615048,48615669,256432676,257025560,70748747,70748748,67801174,58034454,58034455,70748788,72733938,72733939,72734003,70748809,58034477,48614634,38699036,38699037,257556817,48655779,48655783,60052087,60469443,60631814,49230806,39303782,30705885,23289689,17030197,11945006,7995372,7995373,7995711,7995712,11945569,17029826,11944730,11944729,17029824,15733304,15733305,17030952,17030953,17030440,11945183,11945182,11945157,7995460,5089743,3088665,3088664,254819809,17030398,23289932,21784276,15725401,15725400,20069149,20069147,26953560,21063016,15129547,15129546,21063015,20044546,14359572,9867054,6481768,4061724,4061725,6481774,9867060,14359582,20044576,20070406,20068000,14384195,14384196,20067991,17176853,12077304,12077302,17176846,17558631,17558632,23903008,26938219,20072631,20040297,14355775,14355776,20040305,21824720,20040489,14355896,9864017,6479507,4060332,2430150,2430149,4060326,6479491,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,35127836,37985122,37984595,37984597,37694584,29425111,22094364,255047598,15986588,15986589,22094563,29425310,23400573,23400574,254971308,268074972,26946838,20061808,20061806,21167236,28385350,35035478,26955578,26955579,30196760,267966540,32555960,24905506,18401536,18401534,21785942,15727445,15727447,21785946,26930555,20044874,14359731,14359729,15626299,21662208,28940997,37482918,31244469,26901579,21826122,21826120,22682096,26938208,20052274,20052271,26938200,35019224,35041873,37403922,38630925,46887455,48951431,41414795,32555831,24905390,22900350,255948237,30440722,23033901,16790349,16790345,23033894,255053562,254510542,254510540,20052449,26938414,35019421,39322574,41773793,39029165,39029163,48546623,48546624,44399786,35024428,29131445,29131444,30197398,38781875,39029162,30439845,30439844,38631205,44385258,35007348,26925501,23033246,16789934,11739724,11739723,16789932,23033245,30440067,36506691,36506690,35033585,26953388,21785939,15727443,10890930,10890931,15727447,21785946,26930555,20044874,14359731,14359729,15626299,21662208,28940997,37482918,31244469,26901579,26901580,22681664,22681665,30058453,38593816,38593817,37986145,29424098,29424100,30023626,22650729,21826975,21826976,29134071,37695014,36882101,36882102,35011816,26930132,20044560,14359577,14359576,17494263,21168206,21168207,26933826,26933827,29077776,37628514,35015071,26933580,20047272,20047273,26933583,35015074,42055407,33106413,25371500,18787184,18787183,20052686,20052687,23400480,17128321,17128319,18589037,25144705,30916735,30916733,39527139,30916729,30916730,37695007,44407537,44407536,49361886,255740816,35028582,26947975,26931215,20045381,14360030,9867314,9867315,14360037,20045398,20068033,14384226,9889863,9889862,12415663,12415665,16036347,14361168,9868080,6482333,6482336,9868066,9868104,14361219,9868187,6482390,4062028,4062029,254970849,20047283,22230148,16095789,11179553,11179552,16095787,22230146,29577708,38144002,36882124,36882125,254971556,21662898,255741466,44403553,254687938,20062703,20062702,26947644,26933448,26933445,20047152,14361285,9868138,9868139,6485829,4064117,4064116,6485822,9872902,14366581,20052221,26938148,20052832,14366987,9873155,6485935,6485934,9873153,14366981,20052824,26938880,35019827,36882903,44395087,39384755,255089068,30440710,39029719,48951547,44366430,34988385,26907688,20024137,14342060,9853316,6472336,6472337,9853320,14342065,20024148,26907703,34988407,44366456,55217519,67561037,81030240,95088532,109342714,123534454,128907907,115005775,100951613,86967434,86967432,86967433,100951611,115005772,128907904,126530936,112667569,98672206,84743514,71174231,58452139,47075189,256536162,71174229,255456730,64992924,53017842,42577670,33560976,33560975,29870202,22510888,21615673,15585929,10781888,10781889,15585931,21615677,28891900,263111797 Dl.O(d2) = 256724566,85405385,71816686,71816685,60479339,60479340,49076272,39146544,30548733,30548732,33463051,25690869,25690868,28115625,36588411,39919081,39919080,31271390,23785881,17455075,17455074,23785879,23785883,23785884,31271391,31271387,31271386,39946239,39946243,49963163,256010760,87074042,73456379,257607283,39377988,30776479,23352682,17085123,11997529,8050133,5140662,5140661,5146082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8459639, s2 = 6630245, dlinesl.size( ) = 20 s1 = 9699469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7037109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7037109, s2 = 9263708, int(edited[s2]) = 0 s1 = 7037109, s2 = 9263708, d1 = 27, d2 = 31 Dl.O(d1) = 261687536 Dl.O(d2) = 264198886,264743730,265352478,261079297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7037109, s2 = 9263708, dlinesl.size( ) = 8 s1 = 9486087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9486087, s2 = 14300437, int(edited[s2]) = 0 s1 = 9486087, s2 = 14300437, d1 = 26, d2 = 29 Dl.O(d1) = 3058281,1782631,1782630,3058278,5048228,7938138,11874939,9168580,9168577,8991486,8991485,13189868,17033442,23292866,30709179,26253928,19535988,19535989,23242479,17004000,17003999,16974751,16974750,17523058,267903608,7945677,7945673,7954889,5059605,5059604,7954882,11875543,11875521,11875517,254177788,23237220,16965215,16965214,15653265,10834421,10834423,15653264,11212266,11212267,16139989,17027148,11942240,11942241,11090399,267837784,22081887,17009322,254382716,8296199,8296198,12284502,10879798,10879797,15716600,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,3078035,3315493,5391787,7957975,7957974,8347911,8347914,12355751,17275314,17528101,12361939,10943021,10943020,12359847,12359846,12357968,8349745,5389222,5389219,8349740,254632438,23867529,31361722,40041897,50061359,61539535,74316084,87919483,101893575,115939734,129839389,143170632,155724681,167359202,177856055,187128675 Dl.O(d2) = 195200385,202100615,207900907,212680836,216588071,264850384,224909355,226948668,226092301,223949718,221474992,218586720,215155453,210989173,205891035,199726888,192438852,183973636,174311843,163464532,151581673,138879024,125546245,111739975,97817771,83958602,70432083,57737773,46387914,36528002,32142288,24560052,20891568,14987890,14987889,20891575,28062076,32030674,24560110,18121428,12849390,8737770,5688370,3538580,3538577,5688364,8737752,254632420,24559883,32142092,32915680,41843203,52164818,42869358,255230900,26010222,19336069,13827382,9483269,6218463,3892223,2330413,1350734,770566,437872,437873,770569,1350741,2330426,3892246,6218504,8116652,5199948,5199949,8116654,8105585,8105587,9106476,6969462,4378457,4378454,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,15295635,14451540,9942410,6534620,254691415,268175761,20969827,18952098,17155546,12059008,12059009,15251161,10521480,10521482,15251166,10701128,10701129,10902217,12057461,8106863,8106862,10700787,7069630,7069629,5199867,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,6946044,4364969,4364966,254704104,2527663,1456750,824809,465794,262178,262177,465789,824799,1456734,1456925,1456927,2528014,2547898,4261868,6748254,4228470,4228471,6748261,10268687,10268686,14931825,13280852,13280851,14963095,14963096,13297322,9079200,5944679,5944678,6808178,4270061,4270058,2566293,1477680,1477682,2566299,4292368,6840884,9101415,9101414,8593923,8593921,9100520,9100519,13320400,268292263,255001523,10314042,14981990,20884667,28053735,36518380,46377616,57727890,53541630,43062458,43062459,53541632,65566406,78901382,93011279,107419583,121801757,135740744,262038993,172484756,182436747,182436744,182436745,191139817,198630287,204975869,210233892,214531451,218064108,221025816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9486087, s2 = 14300437, dlinesl.size( ) = 16 s1 = 8622163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8622291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8622291, s2 = 8810903, int(edited[s2]) = 0 s1 = 8622291, s2 = 8810903, d1 = 15, d2 = 21 Dl.O(d1) = 195212703,273386245,177870306,187141722 Dl.O(d2) = 202112187,264565997,216597704,219836442,274422801,274291538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8622291, s2 = 8810903, dlinesl.size( ) = 8 s1 = 4652623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4787439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7063995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13778639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8669624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15235047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13839917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13839917, s2 = 8683237, int(edited[s2]) = 0 s1 = 13839917, s2 = 8683237, d1 = 0, d2 = 0 Dl.O(d1) = 207929438,263977977,187163313,177893050,274007218,202131670,264800124,177893042,187163303,195233457 Dl.O(d2) = 207929438,263977977,187163313,177893050,274007218,202131670,264800124,177893042,187163303,195233457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13839917, s2 = 8683237, dlinesl.size( ) = 2 s1 = 13839917, s2 = 8683237, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13839917, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4653751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4654390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9554748, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4507740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8588260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7259602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10272256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9374962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10186283, s2 = 14060336, int(edited[s2]) = 0 s1 = 10186283, s2 = 14060336, d1 = 99, d2 = 11 Dl.O(d1) = 258436451 Dl.O(d2) = 70972708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186283, s2 = 14060336, dlinesl.size( ) = 2 s1 = 10186283, s2 = 14060336, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10186283, Dl.E( ) = 144, 4.29e-05 seconds used appending s1 = 7126921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8660930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9572376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9572376, s2 = 184204, int(edited[s2]) = 0 s1 = 9572376, s2 = 184204, d1 = 41, d2 = 22 Dl.O(d1) = 29882060,29882062,38440050,46723510,36840724,36840723,28343971,21840018,255057383,10922688,15770359,21840016,29148078,37708421,47630716,53232826,269440422,33750991,270449370,39768627,256218801,26990112,31089946,39768628,49788501,61267586,272254238,31585033,24079157,17721982,12537925,12537924,17721979,256034483,40272142,50293515,50293517,50293518,61773428,74557116,88172037,88172034,74557114,74557113,88172033,102162752,116223773,130134330,143465141,156004038,262829315,187313983,264423944,199428956,192077948,192077947,192077949,192077951,183535316,173766540,162766824,260995058,137675950,137675949,137675952,123994647,109855885 Dl.O(d2) = 6995545,6519498,4396189,2634393,2634394,4396193,6516908,4425756,4085104,2444076,1413195,1413194,2444070,4085090,5676197,8720312,9128505,9916799,6517194,6517195,9916800,6531107,4092277,4092281,4084893,2443973,2100825,1361008,1361006,2349383,3924360,6267762,7000417,4399568,4399569,6518826,9123196,9123195,9412574,13353983,14442806,9935323,9935322,255236929,13349774,18751088,13782263,13782264,12850802,8738812,5689137,3539146,3539147,254625845,3847177,3847178,267764438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9572376, s2 = 184204, dlinesl.size( ) = 26 s1 = 4792299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10265741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10232337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10232337, s2 = 8500372, int(edited[s2]) = 0 s1 = 10232337, s2 = 8500372, d1 = 83, d2 = 109 Dl.O(d1) = 254519425,4610592,4610752,2776103,2776104,4610753,7306513,11031807,255442953,22011495,15909980,11031363,11031362,7306661,7306246,7306248,11031474,7306337,7306122,7306107,4610485,4610484,7306106,11031296,7306468,7306467,7306414,4610686,2776065,2776066,4610687,7306416,11031687,15910351,22011880,22011802,22011801 Dl.O(d2) = 161706311,273279545,130265090,116427913,116427912,107798362,260354973,136165938,149415507,161706303,156127691,272223754,260626566,271878101,261860457,167731177,262546542,122203482,107798385,93376436,79249248,257858857,256704225,26322065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10232337, s2 = 8500372, dlinesl.size( ) = 66 s1 = 4659572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7697355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7697355, s2 = 11370834, int(edited[s2]) = 0 s1 = 7697355, s2 = 11370834, d1 = 4, d2 = 1 Dl.O(d1) = 272912093,187430441,195456447,263188248,195456446,263579098,212847066,264527928,264527930,265904311,228812237,230371646,231757012,231757013,230371647,228812238,228812239,230371650,265878346,230097403,265734792,265579014,227042404,274352376,274569167,228506835,228506834,230097403,228812236,227042404,265010832,212847070,264245636,264116421,263786431,183036451,191648599,191648596,191648597,263786429 Dl.O(d2) = 191648598,263786431,173182946,262065773,260968749,108628022,94340915,80284867,66855261,257284553,34580418,255725329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7697355, s2 = 11370834, dlinesl.size( ) = 2 s1 = 7697355, s2 = 11370834, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7697355, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 7240468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4795134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4795134, s2 = 13582641, int(edited[s2]) = 0 s1 = 4795134, s2 = 13582641, d1 = 44, d2 = 9 Dl.O(d1) = 195500114,187482946,178270255,167829638,167829639 Dl.O(d2) = 74452766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4795134, s2 = 13582641, dlinesl.size( ) = 18 s1 = 7729697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4796311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8737826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13790621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7213888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7213888, s2 = 4796551, int(edited[s2]) = 0 s1 = 7213888, s2 = 4796551, d1 = 0, d2 = 0 Dl.O(d1) = 264102254,195557794,263401012,167922449,156344201 Dl.O(d2) = 264102254,195557794,263401012,167922449,156344201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7213888, s2 = 4796551, dlinesl.size( ) = 2 s1 = 7213888, s2 = 4796551, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7213888, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7703695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703695, s2 = 14256725, int(edited[s2]) = 0 s1 = 7703695, s2 = 14256725, d1 = 92, d2 = 143 Dl.O(d1) = 273145248 Dl.O(d2) = 241354607,240901655,240901654,241354606,241354604,240901653,240412313,239884686,239884685,266708822,239884684,239313380,238692667,238015913,237272398 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4797501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9565764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9245860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4664520, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8656827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10260294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10260294, s2 = 10248246, int(edited[s2]) = 0 s1 = 10260294, s2 = 10248246, d1 = 1, d2 = 1 Dl.O(d1) = 211939931,273993810,202557275,195747037,187792783,187792782,187792774,187792773 Dl.O(d2) = 211939931,273993810,202557275,195747037,187792783,187792782,187792774,187792773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10260294, s2 = 10248246, dlinesl.size( ) = 2 s1 = 10260294, s2 = 10248246, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10260294, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8502992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7344734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9694243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7207747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6791058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6791058, s2 = 7096822, int(edited[s2]) = 0 s1 = 6791058, s2 = 7096822, d1 = 28, d2 = 15 Dl.O(d1) = 258508009,94417383,108704243,122969571,263016059 Dl.O(d2) = 262530290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8591102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8591102, s2 = 8344836, int(edited[s2]) = 0 s1 = 8591102, s2 = 8344836, d1 = 170, d2 = 142 Dl.O(d1) = 261357331,156979037,262864459,187845826,263285240,263285243,264591711,264008514 Dl.O(d2) = 258681968,117601619,131401836,131401839,117601622,258681976,75609769,62665315,51037151,40898305,32123421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8591102, s2 = 8344836, dlinesl.size( ) = 122 s1 = 15196971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9174231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8500373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8500373, s2 = 10232336, int(edited[s2]) = 0 s1 = 8500373, s2 = 10232336, d1 = 117, d2 = 94 Dl.O(d1) = 87878122,256704224,257858856,130265075,130265076,136165964,136165963,262546543,165930116,261860456,271878100,260626567,272223755,154171027,165930121,176576677,165930155,260354972,128148047,114263399,114263400,117616938,273279544,187892403 Dl.O(d2) = 154171053,262263979,176576719,185999358,185999324,185999325,176576708,176576707,262836148,154171073,141507248,128148057,114263409,259536038,72665444,59925158,48531689,256547924,22667231,16471872,16471873,17074147,11986454,8037175,8037174,11476656,10860449,10860448,15688179,11476950,11476951,11286681,7493490,7493486,4736779,4736778,7493482,11286667,16234665,22394667,29755346,22667182,22667185,16472637,16472638,22668075,29699204,22345256,16472164,16472163,16472206,16472435,255928497,30042394,256203459,19853656,19853657,26670106,34662921,38616229,30042316,22666931,22666932,30042319,26664799,26664800,34656325,30042569,30042570,38616464,48531664,39267421,30671275,23255395,23255396,24068995,31574461,40261436,49193715,49193716,47834894,39889414,31211411,31211412,29343779,22011829,22011830,29343781,37912860,37913401,30671316,23255436,16992168,16992169,23255439,23255456,16992180,16992179,22012442,22677903,30054118,38484382,31574435,31574434,255442952,37912991,29343937,22012007,22012008,29343940,37912993,47834649,254519424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8500373, s2 = 10232336, dlinesl.size( ) = 58 s1 = 14165828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4801189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4745918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4745918, s2 = 8664409, int(edited[s2]) = 0 s1 = 4745918, s2 = 8664409, d1 = 65, d2 = 128 Dl.O(d1) = 193601732 Dl.O(d2) = 262044380,262044390,258470552,89581390,75798917,62834726,51184622,51184621,62834722,75798914,89581386,103697319,117851872,131680100,144928902,144928903,157342851,157342852,168782166,168782165,179061826,179061886,168782236,168782223,157342894,144928932,260348266,131680102,117851874,117851875,131680104,260944382,179061845,182557682,182557683,191239014,262994160,161453580,262539316,261510736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4745918, s2 = 8664409, dlinesl.size( ) = 44 s1 = 6979484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6979484, s2 = 7054207, int(edited[s2]) = 0 s1 = 6979484, s2 = 7054207, d1 = 7, d2 = 7 Dl.O(d1) = 260886900,262485982,273420208,179253857,168964821,261913131 Dl.O(d2) = 260886900,262485982,273420208,179253857,168964821,261913131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6979484, s2 = 7054207, dlinesl.size( ) = 2 s1 = 6979484, s2 = 7054207, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 6979484, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 4523259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4523259, s2 = 4122300, int(edited[s2]) = 0 s1 = 4523259, s2 = 4122300, d1 = 128, d2 = 156 Dl.O(d1) = 179269534,188321014 Dl.O(d2) = 264413328,219311308,216000133,212003360,207112736,201183332,194140868,185918872,176488030,165831540,154060987,141385779,128016212,114125888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4523259, s2 = 4122300, dlinesl.size( ) = 38 s1 = 7183157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7183157, s2 = 15671310, int(edited[s2]) = 0 s1 = 7183157, s2 = 15671310, d1 = 32, d2 = 35 Dl.O(d1) = 263691919,188326747,179275995,179275996,179275992,168989724,168989725,168989726,157526488,272378790,118005979,103861548,89758029,270526370,257800074,48675886,48060981,38148198,29582275,29582274,31392609,23898262 Dl.O(d2) = 145416280,132186826,271931732,260194616,76267465,63248769,51532395,257715186,32466736,24827724,18334918,18334917,18334931,13015330,8861677,8861678,13015331,14175005,14175008,19789556,26595022,26697220,34691889,40785218,32028613,32028612,33032738,25306184,25306185,33032739,41975813,50289156,53547344,268921777,28742205,37274201,32466897,32466898,28741860,24827900,24827904,26689795,19870533,19870531,26689776,24257788,256046283,19870698,255732201,26674502,255343544,32312628,39474085,34670822,26677530,26677531,34670824,40011134,41975812,41975813,50289156,53547344,268921777,21484435,15480524,15480523,21484430,28713071,28338112,255381385,10467436,6900023,4332018,2592390,2592391,4332022,6900032,10467444,15177212,21125883,28338133,30861624,28479350,28479351,33328678,25569687,25569688,28458408,28458407,23428947,23428948,23432650,17156552,17156553,18972716,25580548,256021492,23439579,21238501,18966664,18966663,17156548,12070359,12069471,8116077,8116078,11746710,16799978,12374688,8362162,5397430,3318929,3318928,5397425,8362154,12064612,8112329,5197283,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,7484806,5193825,3169172,3169167,5193796,3791676,3791678,6059995,5404673,5404672,8374510,12392263,16800019,12063350,12063348,15474163,15474164,10700581,10700582,11694751,11600499,11600496,13521773,9253436,6060369,3791926,3791928,6060403,6067785,9264013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7183157, s2 = 15671310, dlinesl.size( ) = 2 s1 = 7183157, s2 = 15671310, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7183157, Dl.E( ) = 38, 1.38e-05 seconds used appending s1 = 11660124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660124, s2 = 7778742, int(edited[s2]) = 0 s1 = 11660124, s2 = 7778742, d1 = 42, d2 = 36 Dl.O(d1) = 254098728,3278485,3278488,5333555,8262753,5330912,3276780,3276781,3278449,5333500,254842407,8534170,5532222,3417785,254190739,647633,359317,196763,196764,359319,647637,1154400,2017870,254415031,8534176,255195877,14124489,13709439,9390052,9390050,9717391,255721123,34317500,37839087,29272860,256370091,29604388,29272850,21949801,21949799,26434421,34312513,256009864,22255032,16116299,11194878,7428017,7428018,11194880,16116303,22255036,22254012,16115627,11194498,11194496,10868791,7427799,4693652,4693651,7427790,9924673,9924675,8330461,6522801,4086954,4086946,4086949,6522786,9924611,14427851,16132426,16132429,22274781,19250534,19250529,20118312,20118311,24484600,18061783,12805285,12805288,18061796,22835320,16614201,16614205,18155918,268084088,14472895,11528671,11528670,255492031,30138539,38718146,48636063,50396187,61886584,270466117,261763296,262417091,179283888,188334822 Dl.O(d2) = 274814080,266667532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660124, s2 = 7778742, dlinesl.size( ) = 38 s1 = 4670047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4670047, s2 = 13040557, int(edited[s2]) = 0 s1 = 4670047, s2 = 13040557, d1 = 46, d2 = 122 Dl.O(d1) = 188344314 Dl.O(d2) = 274807360,237262049,236445002,236445001,237262048,238006241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4670047, s2 = 13040557, dlinesl.size( ) = 106 s1 = 10248245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10248245, s2 = 2987321, int(edited[s2]) = 0 s1 = 10248245, s2 = 2987321, d1 = 13, d2 = 4 Dl.O(d1) = 262248081,176342022,185785969,194023532,264225521,211939794,215949587,219269950,222074529,219269948,215949584,211939793,207031374,207031373,207031387,201082452,194023536,194023535,264509823,207031385,211939810,208661048,203024582,196297300 Dl.O(d2) = 89925743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10248245, s2 = 2987321, dlinesl.size( ) = 2 s1 = 10248245, s2 = 2987321, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10248245, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7202205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7202205, s2 = 10520951, int(edited[s2]) = 0 s1 = 7202205, s2 = 10520951, d1 = 38, d2 = 24 Dl.O(d1) = 263939742,196302197,194544534,186385385,177025134,166439557,154729675,154729673,154729674,260218028,127937855 Dl.O(d2) = 273396945,273059433,137452390,150487612,269867780,257052674,81220225,81220226,257052678,123724508,137452392,123724506,123724504,258244646,150487614,162611624,173637578,260106906,150487616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7202205, s2 = 10520951, dlinesl.size( ) = 2 s1 = 7202205, s2 = 10520951, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7202205, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 4671210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4926133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4926133, s2 = 8151993, int(edited[s2]) = 0 s1 = 4926133, s2 = 8151993, d1 = 13, d2 = 1 Dl.O(d1) = 203092055,196376134,188520983 Dl.O(d2) = 104211832,90079962,257591160,51533150,256465814,32249868,24651223,256074593,41042611,37929974,29363175,29363174,24208392,24208393,18193804,18193803,24651189,18193812,12904482,8778234,8778235,12904483,18193815,24651202,23098434,16842504,16842502,18193735,254891635,5717145,3559052,2120557,1222729,1222728,2120553,3559044,5717130,8778218,12904429,255222983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4926133, s2 = 8151993, dlinesl.size( ) = 18 s1 = 4526129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 982702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4806413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7209395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4675002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9566039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9566039, s2 = 4808229, int(edited[s2]) = 0 s1 = 9566039, s2 = 4808229, d1 = 9, d2 = 3 Dl.O(d1) = 261946251,169957807,262631358,196833300,263477386 Dl.O(d2) = 203464861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9566039, s2 = 4808229, dlinesl.size( ) = 8 s1 = 6882949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6882949, s2 = 7186196, int(edited[s2]) = 0 s1 = 6882949, s2 = 7186196, d1 = 25, d2 = 27 Dl.O(d1) = 259629031,262909255 Dl.O(d2) = 263732126 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658078, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8659393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8659393, s2 = 3487599, int(edited[s2]) = 0 s1 = 8659393, s2 = 3487599, d1 = 11, d2 = 2 Dl.O(d1) = 158654110,170012605,180179167,189121417,196865758,203492971 Dl.O(d2) = 201792392,207635072,207635203,207635208,207635209,212452639,216392052,219658831,219658680,216391886,216391880,212452475,264245314,194851373,194851372,194851367,186741497,262754382,261766450,129172044,115240861,101163316,87165246,73546780,60799651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8659393, s2 = 3487599, dlinesl.size( ) = 2 s1 = 8659393, s2 = 3487599, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8659393, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 8593883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7125140, s2 = 7342552, int(edited[s2]) = 0 s1 = 7125140, s2 = 7342552, d1 = 5, d2 = 13 Dl.O(d1) = 262912797 Dl.O(d2) = 213608103,265632309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7125140, s2 = 7342552, dlinesl.size( ) = 2 s1 = 7125140, s2 = 7342552, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7125140, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 10208106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7023997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7244072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7244072, s2 = 9692899, int(edited[s2]) = 0 s1 = 7244072, s2 = 9692899, d1 = 15, d2 = 27 Dl.O(d1) = 264477018 Dl.O(d2) = 15182328,254720573,4337003,4337004,6905045,10472394,15182332,18888422,25493007,33243346,42204914,47229706,47229705,47229704,58622673,71359655,58688560,47297657,37388420,28848509,21576869,15553714,15553712,15851815,12481689,12481690,17460426,16737586,11693805,7799039,7799038,10986407,7272336,4586208,2759172,1599501,909353,512943,512944,909359,618578,618577,1102165,1929037,3279563,5335255,8264261,8264248,8264246,7782867,7782865,8269353,8269352,12244178,12301502,12241550,12241549,11674003,7782957,5363004,5363005,8311488,5489028,3379757,3379756,5489024,8488003,8801019,8265097,5332634,5332635,8265100,8307356,12237922,16677303,11641017,7755414,7755413,11641016,16677300,17464478,16764609,12301645,8310732,5362437,4541952,4541950,7208553,8264346,8263790,7782930,4933266,4933267,4933402,7783122,11674187,16715979,17358184,17358185,16165974,11233344,8269063,8269064,12243894,17359949,12609166,12609165,11240188,11240189,16168499,11236146,7457180,7457169,4711998,4711997,7453461,4709269,2836901,2836902,4709271,7453467,11232140,16096132,11179822,8582137,5576322,5576323,8487908,5488938,3379676,254410359,2255440,2255439,3035394,1766765,1006751,567378,567377,1006724,1006720,1163091,2030873,3433595,3433765,3433764,5548125,3761307,3761306,6013881,6017126,3764061,3416915,2017182,2000678,2000676,3394480,3764563,3764560,3763335,3763333,5527721,3453579,2060934,2060932,3474074,5597599,6015066,3762404,2254029,2254028,254444783,3762329,2253976,1308159,1308160,2253978,3762334,5554708,3439083,3439081,5554704,3761195,2253132,1307625,746509,254147101,1163156,1163154,659842,365724,365725,659846,1175393,2049463,3457125,3763789,2255028,2255027,3435974,2032543,1164114,1164115,2031227,1163295,1163294,1139465,1139464,1993944,2021051,2021052,2061184,3439219,5015452,3429304,2027337,1165529,654116,362728,198503,108165,108166,198507,362738,654142,1165591,2034940,2051412,2051410,254280710,3472199,3472200,3440851,254192191,1166468,660110,365855,365854,660108,1175957,1998381,1142221,1142222,1998384,268200326,2045969,2045968,2003569,2003567,3398389,3474686,3474687,3448551,2042357,1170640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7244072, s2 = 9692899, dlinesl.size( ) = 2 s1 = 7244072, s2 = 9692899, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7244072, Dl.E( ) = 28, 9.78e-06 seconds used appending s1 = 4810947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4678517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4678743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4678836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4678836, s2 = 8141666, int(edited[s2]) = 0 s1 = 4678836, s2 = 8141666, d1 = 96, d2 = 93 Dl.O(d1) = 189512874,262788764,146750395,133494026,119622058,105385505 Dl.O(d2) = 33341008,42321901,256439447,30204669,38789437,48711584,52709153,42321897,41385874,32535316,268444956,18390221,24890233,256548926,30204925,38789712,256548922,22813076,16594986,15093596,10409955,6862047,6862046,10409953,15093590,21015133,28207934,36698770,40181957,31497233,23999782,23999781,31497230,24289356,17907809,17907811,24289359,22331715,16185208,11250510,11250508,16185203,22331705,29683379,38248320,268939836,46927306,37049245,28549476,28549475,22813913,22813912,22324750,16179393,16179302,11245928,255087617,255903613,256942019,29679556,22328171,16182075,16182074,21324858,15352909,11250575,11250574,16182077,16182078,22328173,22814895,22814896,22324566,22324565,29675527,38240340,46927311,38248355,29683422,22331747,16185243,16179399,11246000,11245999,11250555,11250556,15352924,21324886,16179222,11245884,7464855,7464853,11245879,16179217,11574829,7704444,7704199,4875895,2938019,2938018,4717203,254237561,1648522,254354123,4717242,254530209,4717412,254774571,7465038,11246179,16179671,254774573,4717425,4717426,7465056,7466855,11248619,11250518,11246023,11245614,7464650,4717171,254237551,937306,1648512,2841830,4717166,2842766,1649058,937615,937616,1649060,2841973,1649086,1649081,2842798,4718681,7466867,7466874,4718686,4718445,4718446,7464455,7464457,255464947,16179700,254528670,254772504,11248692,7466920,7466921,7466901,7466902,11248676,16182938,17890379,16182346,267975377,7466519,11248168,11248169,16182320,255903651,22325154,29676151,29649943,29649942,22324639,16179316,11245947,11245948,16179319,22324641,22298022,16182915,11248660,11245703,11245704,11246222,11246223,16179727,19546235,26266645,29674606,29674605,22329026,16182828,16182829,22329028,16182935,16182936,254528668,16152860,22298020,22329161,22329160,29679860,29679859,38244645,29679829,22328434,16182318,16182319,22328437,22329139,22329138,22329166,22329165,24269612,25697746,33470957,38245246,29680481,29680449,255462658,31782307,31782308,33470966,33470965,40476944,40476940,31782333,24269572,17890404,12672240,12672241,17890408,22324190,268403553,16179664,11248576,7466818,7466819,11248580,16182826,19122543,13653127,9349200,7465064,7465065,11246207,16179707,11248583,11248584,16182836,255904025,19072101,255175026,6107149,6107147,9323232,13615730,19072087,17890388,17890389,24269549,29649846,22298036,16152878,16152877,22298034,26266543,34133103,34133077,31782303,31782302,24269556,17890392,12672233,12672234,17890394,24269558,29676135,22325131,19546846,19546847,17890364,17890363,12672229,12672230,17890383,24269544,256488457,30869510,256181727,19546158,17167452,12071036,8117265,8117266,12071039,17167456,255538351,12070988,8117238,8117237,12070985,255538349,23441193,17167444,12071029,8117256,5200309,5200310,8117260,12071031,17167447,23441151,19546852,19546851,23441134,17167388,12070990,12070989,255538353,30869511,26266622,255302153,9615350,9615351,13996373,19546211,26266625,24269551,19812370,19812371,23441159,17167417,12071010,8117247,8117246,12070994,12070993,17167372,13996343,13996344,19546165,19072072,19072073,25697735,19546555,13996628,13996627,19546223,26266605,19546194,19546193,26266601,26257753,19538954,13990476,13990477,255123458,26266596,26266595,256701167,34611605,256684117,26009383,25848550,19193565,19193567,25848553,25849853,25849854,33654391,268767841,33654394,33654393,42416195,42416196,42868149,256674279,33652993,256973224,256973226,78624068,65327266,53329509,256684113,33827050,42868142,38354317,29781616,22416133,16250970,11298155,11298154,16250968,21305228,21305229,28527250,29781608,256852943,38354248,38354250,48149626,38240449,38240450,38354267,29781574,22416109,22416110,19166949,19166951,25816452,33616350,29758005,22397104,22397102,29758001,38327769,38354238,38354237,269328710,48265227,59652150,258139923,48265205,38354213,29781544,268639922,11298139,11298151,7501053,4741501,4741502,7501056,11298158,16250976,22416149,29781651,28527262,28527261,29781594,29781593,38354293,48265276,42684623,33654403,30866332,23437524,17162905,12066570,255151319,23437517,256488077,38240493,38240496,256950463,29781573,22416108,22416107,22314995,16169927,16169926,22314992,29666778,38233013,38354282,29781585,22416117,16250962,16250957,11298144,11298143,16250954,22416103,22416144,29781641,38354334,29781631,22416138,22416137,29781627,29781643,256408117,38233003,38233004,46274143,36421546,36421547,39470059,30866331,23437522,23437521,29675654,38240453,38240531,48149701,59536480,48149661,48149633,257521831,59530904,269000702,38233009,48143418,48265249,38354259,29781569,29781568,256950461,38354229,48265221,48265210,256408105,22416092,22416093,256408107,36421553,36421554,46274155,57618598,49398550,49398549,268944039,29675661,22324681,22324680,29675659,38240461,48149636,48143405,48143403,55467121,55467122,67808879,59530897,59530898,257058666,38232991,38232992,30427242,30427241,39016188,38240472,29675665,29675664,38240470,48143396,48143395,59530881,52785408,52785411,268438248,59381870,47991987,47991988,42386203,42386202,47991972,47991974,59381861,63129875,255104542,41234172,51432279,255925166,72117336,71422624,58689511,58689510,47996580,47996581,59385684,72116799,59384925,47995693,47995694,59384927,72116801,59385673,47996570,47996569,59385671,72117324,72117293,59385595,268940591,29519616,29519617,22177153,22177152,29519676,38084304,47996510,47996538,59385656,72117320,72117344,59385702,59384919,47995687,257509501,47996603,59385657,72117323,65120134,53134651,42683552,33653318,33653319,38084332,38084376,38081575,38081576,257509311,47996586,59385665,47996556,38084351,29519726,29519727,22177215,22176591,16051263,11145166,7392379,4670307,4670306,7392376,11145157,16051248,22176569,22176598,16051267,16051266,22176594,22177277,16051681,11145434,7392551,4670402,2813859,2813857,4670394,7392538,11145408,16051628,22177192,29516409,38080907,29519906,29518832,29518833,22177319,16051705,255453537,29519854,29518826,29518824,22177309,22177311,16051724,11145471,7392570,4670413,4670414,7392572,11145476,16051731,22177167,22177168,29519701,256929312,29516398,22174672,22174670,16051577,11145381,255077617,22177112,29519599,29519800,29519608,22177116,22177115,29519607,29518578,29518579,29518822,22176538,22175118,16050302,16050304,255890691,22177369,16051736,11145483,7392576,7392577,7392558,7392557,11145449,11245940,16051690,11145442,11145443,16051692,22177291,29516379,29516347,22174627,16049932,11144315,11144314,16049930,22174621,29516339,38080867,29516387,29516386,38080895,46902823,38084492,29519900,29516984,28527163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4678836, s2 = 8141666, dlinesl.size( ) = 2 s1 = 4678836, s2 = 8141666, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4678836, Dl.E( ) = 116, 4.91e-05 seconds used appending s1 = 8639319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3551835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6988921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4680298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4680298, s2 = 7491017, int(edited[s2]) = 0 s1 = 4680298, s2 = 7491017, d1 = 1, d2 = 16 Dl.O(d1) = 189565238 Dl.O(d2) = 267173941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4680298, s2 = 7491017, dlinesl.size( ) = 2 s1 = 4680298, s2 = 7491017, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4680298, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 7031431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355225, s2 = 7739852, int(edited[s2]) = 0 s1 = 10355225, s2 = 7739852, d1 = 41, d2 = 51 Dl.O(d1) = 260263055 Dl.O(d2) = 274142995,273625164 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7126191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13795263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165824, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7234687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4815403, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10341135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341135, s2 = 7767507, int(edited[s2]) = 0 s1 = 10341135, s2 = 7767507, d1 = 45, d2 = 37 Dl.O(d1) = 13187471,255155791,12115751,13187278,8989508,254907043,9194357,8575008,8575007,7916525,7916526,9193105,9193106,13443874,255665501,17835268,12629498,8574886,8574887,254650838,9195558 Dl.O(d2) = 274649781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341135, s2 = 7767507, dlinesl.size( ) = 52 s1 = 4683308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4539715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4539715, s2 = 3058742, int(edited[s2]) = 0 s1 = 4539715, s2 = 3058742, d1 = 6, d2 = 60 Dl.O(d1) = 180905801,189794774 Dl.O(d2) = 108638136,122902864,136734985,260712100,122902862,108638135,94350400,257644578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4539715, s2 = 3058742, dlinesl.size( ) = 40 s1 = 4684129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8661165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8661165, s2 = 14213068, int(edited[s2]) = 0 s1 = 8661165, s2 = 14213068, d1 = 39, d2 = 21 Dl.O(d1) = 119961984,133829456,147074365,159449543,170788759,180917608,189804907 Dl.O(d2) = 244052489,244116540,274938012,242723670,267061652,242628098,242277890,274868710,242954418,267101062,242954416,242954415,243258814,274918174,244052482,244280201,244491812,267285010,244491827,244280223,244280222,244491829,244550145,244491816,244280203,244052484,243807243,243807244,267202100,244052482,244280201,244491812,244689616,244491823,244280217,244052493,243807248,243543236,243258815,242954417,242628098,242628097,242954415,243258814,274918174,244052482,244280201,244491812,267285010,244491827,244280223,244280222,244491829,244550145,244491816,244280203,244052484,243807243,267202102,244491814,244280204,244052486,243807245,243543235,243258815,242954417,242628098,242277890,241899845,266818690,240572190,240059422,266620908,238907190,238254698,237537944,236748260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8661165, s2 = 14213068, dlinesl.size( ) = 30 s1 = 13711297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13711297, s2 = 9717680, int(edited[s2]) = 0 s1 = 13711297, s2 = 9717680, d1 = 222, d2 = 217 Dl.O(d1) = 184547978,192937342,200134155,206211542,204006759,197483908,189823011,263429688 Dl.O(d2) = 262490543,147358846,134148573,120319811,106121730,91929475,78008177,259183968,57776267,46422065,36558623,28089221,20915602,15010066,10339912,10339913,15010068,20915598,19147242,13671901,9362541,9362545,13614527,9322403,9322405,6132646,3836760,2298568,2298567,3836757,6112515,3824598,254659409,268754585,64815079,259055161,106121731,106121732,120319814,134148574,147358849,159705547,171019304,162131838,149919948,136784312,122953923,108688582,94401352,80346955,66920564,54663873,54663872,43921321,37752239,37752240,43349828,34249834,34249833,28855665,256338153,21584510,25460743,28856817,37397023,28856179,28856178,21584140,21584144,25460642,28856045,37396894,47306332,47917232,47917233,257497810,59310953,47917229,47917206,47917205,47917208,47307244,37397972,37397973,47307246,58696391,58696392,71428900,59591251,48205010,47422063,37514329,37396877,37396878,36937729,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438016,29437947,29437946,38000922,31101150,31101149,39779703,48948498,39778788,31100365,31100366,39778790,39778493,38350435,38350436,48261339,39778722,31100309,23616465,23616466,31100312,39330676,39330677,49257177,39782525,39782526,49798509,49799998,49799040,39780535,39779727,39779726,49257929,39332160,31100610,31100188,31100189,31100654,23616650,23616649,29778219,29778220,38000517,31101110,30732573,29437632,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731939,30731938,30731818,23313058,23313057,30731815,30802587,30802588,33208196,39780326,39331965,39331964,42167126,33206961,33206960,33206952,33206716,25459090,25459089,33206713,42166894,42167773,33207786,33207787,39330600,39780143,31101569,31101567,39780137,33208107,33206853,25459226,18859522,13437121,9186885,6012732,6012731,9186881,13437110,18859503,23617235,25460373,31101366,31101367,25460154,18860201,13437515,9187093,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13237585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13237585, s2 = 15778056, int(edited[s2]) = 0 s1 = 13237585, s2 = 15778056, d1 = 4, d2 = 10 Dl.O(d1) = 37110587,28601719,21368401,21368400,28601717,37110583,37186315,37137178,28624357,21386692,15403084,10646370,10646371,15403086,19671307,19671305,26405692,28601723 Dl.O(d2) = 127729353,127729351,113857018,113857019,113002076,99013325,85087833,258077247,47397318,37488892,28946323,21667029,21667028,24296437,23990951,23990952,20823459,14925444,14925443,20823455,27988141,32398395,24775156,18295448,15236854,10511012,6931262,267823353,1505610,853574,853573,1505608,1484316,1484315,2577056,4309829,6866922,10416691,15102668,21026731,15243437,10516035,10516034,15243435,255816927,15102640,10416666,6866901,4309804,2577040,1484305,839578,839579,1484308,2577045,4309813,6866907,10416673,15102645,21026712,28221940,36714694,255820079,21241602,15307841,10571419,6972809,6069124,6069125,6954120,10544629,15278564,21245179,15283053,10548763,6957045,4371136,2618696,2618695,4371128,6952779,8116558,6968061,6968060,10496696,6950142,6950144,6954609,6954608,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,5403079,5423335,8404566,7902561,7902563,7902623,11748046,7843678,7843673,6050236,6050240,6059837,9237841,9237859,13502128,9256491,6062335,6062338,6945320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13237585, s2 = 15778056, dlinesl.size( ) = 2 s1 = 13237585, s2 = 15778056, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13237585, Dl.E( ) = 20, 4.39e-05 seconds used appending s1 = 9362138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9362138, s2 = 1075047, int(edited[s2]) = 0 s1 = 9362138, s2 = 1075047, d1 = 32, d2 = 1 Dl.O(d1) = 31245607,23761064,17433375,17433376,13472625,13472623,18904190,25514280,33274742,42254326,52639827,64538874,77720645,91647905,105855734,120067880,133910931,147135269,159496986,170828400,180951495 Dl.O(d2) = 27980523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9362138, s2 = 1075047, dlinesl.size( ) = 2 s1 = 9362138, s2 = 1075047, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9362138, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 13798631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4685685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4541552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4817808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8681145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8681145, s2 = 4864482, int(edited[s2]) = 0 s1 = 8681145, s2 = 4864482, d1 = 15, d2 = 35 Dl.O(d1) = 194845743,186735271,186735272 Dl.O(d2) = 202093345,264063945,197537003,204055116,263354788,193212345,263727302,200372769,200372771,193212347,184870324,184870323,193212337,184870311,261983550,164553810,272989370,273450556,206422327,202093344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8681145, s2 = 4864482, dlinesl.size( ) = 36 s1 = 4543227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4687576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4687576, s2 = 3308185, int(edited[s2]) = 0 s1 = 4687576, s2 = 3308185, d1 = 12, d2 = 0 Dl.O(d1) = 189889429 Dl.O(d2) = 105931114 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7185956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13759351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5049879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8828952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13811617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4821130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4821130, s2 = 7848809, int(edited[s2]) = 0 s1 = 4821130, s2 = 7848809, d1 = 45, d2 = 81 Dl.O(d1) = 197611688,189968773,189968774,181105196 Dl.O(d2) = 743963,744613,744751,423029,423028,744747,1110244,1110284,744089,422644,238486,238483,422628,744055,1304042,2248122,2248119,2248120,3754061,6002870,5371880,3302744,3302745,254321019,2525277,4082399,3302862,3302861,4223291,5371877,4217043,2521271,2521270,4217041,3302889,1942805,1942806,254401617,3758327,2251384,2251383,3758325,4023685,2410928,2410929,4023688,2442635,2442636,2521287,3303919,3303918,2413042,2413039,4026768,6418588,8324280,6730672,6730671,10243462,12323986,8324727,5372313,3303155,3303153,5372308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4821130, s2 = 7848809, dlinesl.size( ) = 2 s1 = 4821130, s2 = 7848809, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4821130, Dl.E( ) = 98, 3.79e-05 seconds used appending s1 = 4821355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4821366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4821366, s2 = 14530907, int(edited[s2]) = 0 s1 = 4821366, s2 = 14530907, d1 = 39, d2 = 11 Dl.O(d1) = 197619107,189976806 Dl.O(d2) = 254574531,255151021,23434887,255985764,48163551,255537690,57664868,257033068,41385128,32534607,24889666,24889667,28377036,36873801,30813769,30813767,39418935,44383236,35005115,35005114,33464537,25692103,255275833,13612591,19067622,17114223,12026693,12026691,17114218,23385413,17610893,12430746,12430747,15428229,10665686,10665685,15428244,13063228,13063226,14962715,11461102,8085470,8085469,5180875,3161124,1850577,1056170,593878,331074,331072,593866,1056144,1850530,254386445,8085741,12027051,13062393,18389826,256602777,51611233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4821366, s2 = 14530907, dlinesl.size( ) = 20 s1 = 7277639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7277639, s2 = 4822054, int(edited[s2]) = 0 s1 = 7277639, s2 = 4822054, d1 = 10, d2 = 2 Dl.O(d1) = 264884747,273986112 Dl.O(d2) = 197662394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7705154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7705154, s2 = 2334598, int(edited[s2]) = 0 s1 = 7705154, s2 = 2334598, d1 = 34, d2 = 2 Dl.O(d1) = 273190540,202547024,264004824,216855749,274048845 Dl.O(d2) = 62973181 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093800, s2 = 13820521, int(edited[s2]) = 0 s1 = 7093800, s2 = 13820521, d1 = 57, d2 = 115 Dl.O(d1) = 262475612 Dl.O(d2) = 207894874,207894855,207894854,212675468,216583612,265245875,265265770,264839196,212675487,207894866,202094167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093800, s2 = 13820521, dlinesl.size( ) = 58 s1 = 4692198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9401593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9401593, s2 = 9460336, int(edited[s2]) = 0 s1 = 9401593, s2 = 9460336, d1 = 7, d2 = 4 Dl.O(d1) = 268900971,20812438,20812439,27975980,27976006,36434750,36434728,255782223,20812440,20812463,268370283,16280304,11321363,254996133,6740028,4223382,2525334,2525335,4223383,6740030,10256986,14916524,20812456,27976003,36434747,28162617,20982709,15070424,15070423,20982708,20982756,28162668,27118845,27118846,35210824,36434725,36434721,36434722,36637700,46504785,36637515,28162555,20982656,15070373,10393589,6850724,6850725,10393593,15070383,20982672,28162572,32998498,32998499,27976231,20812717,14916816,14916815,20812716,27976229,27975813,20812570,14916630,14916629,14916797,14916798,20812701,254996114,20812505,14916565,10257015,10257014,10393700,10393702,7040505,4430399,2659336,2659337,4430400,7040508,10393569,267762738,10393652,6850774,6850773,7040489,7040487,10660966,15070341,10660974,10660972,15070305,10393622,10393621,15070433,15070468,10393657,10393658,254321064,4299082,2570312,1479806,836430,471332,471331,836427,1479802,2570303,4299068,6850727,10393596,15070388,20982614,15070332,10393561,10393560,15070330,10660987,10660986,254154742,4299071,4299070,6850729,254480030,17336722,20982718,15070431,15070429,10393653,6850775,6850776,10393655,10393693,6850818,6850738,254715495,254996166,254480046,15070328,10393559,6850709,4299058,2570297,2570296,4299056,6850706,10393530,10393529,6850786,4299109,2570330,1479818,836438,471337,471336,836436,1479816,2570324,4299098,6850761,10393637,15070446,20982736,28162647,36637619,46504883,57860979,70562460,84098731,97972464,91443886,77513944,77513943,91443885,105667382,109426101,95169795,81111338,81111339,84989394,95169815,81111353,67645079,55306144,55306145,52478021,42122832,33166403,25423762,18830676,13416421,13416420,18830674,25423757,26731152,255319509,14253060,14253059,19896632,26731150,34750761,257296497,39796577,39796576,49817344,61297186,74078723,87685873,101657442,99446538,85505046,71919769,59181547,59181548,71919766,71919767,85505045,85505049,85505048,99446541,112100709,98141738,84248075,70696221,57978311,46601253,46601252,57978309,70696217,84248069,259888873,98141740,84248071,84248072,98141741,260490663,139283108,150615049,150615050,158875937,146509785,133271998,119424220,105211872,105211873,119424222,109803797,95601463,81567857,81567858,95601465,109803800,109803815,109803814,123940183,137618686,150615065,162713273,173721640,183499025,263299584,197579739,197579741,189932898 Dl.O(d2) = 170951267,159627586,159627587,159627588,159627589,147270997,134052274,120216924,106015027,91820149,77898946,64710340,64710339,52796519,42396959,33407858,25641219,19024295,19024296,268293232,42396960,52796521,64710343,77898949,77898947,77898948,91820150,106015028,120216926,134052283,261427488,170951273,181063656,189932905,197579744,263712606,189932902,189932903,197579742,204090777,209523411,209674608,204271433,264375893,214107957,264491728,204271438,197795672,190195252,181392662,171370523,160150696,147901669,134783205,134783204,147901668,147901671,136734637,122902476,108637794,94350064,80293427,257316698,43863026,43863025,34592551,26605615,19798708,19798707,26605614,34592548,42663686,53115756,65102552,78386223,84238781,70686278,57968344,46592014,36705146,28213848,23230286,23230287,30651713,31725384,28214444,28214445,36705825,34966887,34966889,42741792,33712041,25905578,19244584,13750324,13750323,19244579,24725912,24725914,24906319,24906322,25609178,33373951,42362778,52762283,64677287,77867338,91789981,105984695,105984693,105984692,258020672,136738264,122906319,122906318,122906317,108641425,108641426,94353601,80297158,66867888,54609846,43867037,34596684,26609590,26609591,19801939,14183960,14183922,9750631,9750630,9750823,9750824,14184208,14184127,14184128,16913284,23178046,19802019,19802018,26609820,31105874,39785062,39785063,33182945,25437834,18841695,16088587,16088585,22220795,29566870,31885068,40592708,39194202,34596780,34596781,43867121,46699372,37268897,28736865,28736864,37268895,33182884,25437788,25437739,25437738,33182824,42142377,41749912,32829203,32829202,32829208,32829210,38070065,46352842,36494873,28032164,28032166,36494878,42677079,33647479,25843793,19189540,19189539,25843791,33647475,42677073,41720937,41720935,52036206,60659632,53910966,52500979,52500978,50413810,50413809,53127342,65112668,78395200,77543488,64375025,64375026,71447570,58716576,47327747,47327748,52501001,42142489,33182924,33182923,42142485,52500999,255435628,59108477,255871254,78395435,257431272,42677072,33647473,268627156,53127782,47328513,37420321,37420322,47328518,57810197,268610692,73266246,60521125,49119782,49119783,58174472,57810207,46454200,46454199,57810216,255824018,58264409,59311329,59311305,59311304,256313592,37019329,37019330,39830121,37019287,28521360,21300300,15332268,15332269,21300302,22042364,15939588,15939589,22042368,29373317,37939471,44499508,35121952,35121951,44499503,55345907,67685559,70888727,61578535,60521861,49120674,49120675,60521866,52917409,52917407,43401502,34300652,34300654,43401504,53927895,254560624,44501456,35123606,27036421,27036422,23176542,23176541,30595463,39192682,30596873,23177851,23177850,30596871,31037697,30596886,23177862,16913136,11836560,7910610,7910608,11836553,16913126,23177843,23174746,23174747,30593494,39190833,39192080,39192079,49120115,48045527,38132211,29566405,22220437,22220436,23177783,23177719,23177718,22220422,16088332,16088333,22220426,29566391,22220462,16913073,16088235,16088237,16088173,11173900,11173901,16088178,22220215,29566134,23177707,23177708,30596720,30590787,23172253,16908523,16908524,254251416,254128938,49121565,39193877,38131952,33370029,33370030,254375454,30596743,25652264,267836270,42411715,52813058,48045551,38132250,38132248,39728844,46861309,36982782,36982781,36982771,36982772,30590986,23172428,16908654,16908650,22693559,20862631,20862629,26954788,20070499,20070500,22175368,16050448,11144652,7392071,7392068,11144638,16050424,22175320,20864799,16174507,15829577,15829579,21911719,29227916,29737250,22379160,16222514,11277263,7485956,4730712,4730711,7485951,11277258,16222499,22379138,22175386,22175385,28835989,21564556,15542600,10749240,267836284,18992917,13553418,9278656,9278654,13553413,16908640,11833288,7908285,7908284,11833285,267986958,30590956,29517104,22175258,16050394,11144623,11144622,16050386,22175247,29517086,33637621,25834699,25834700,25834760,25834759,29737226,29737227,25557898,25557899,25834721,25834598,25834597,33637496,42667230,38305117,38305116,42667437,37387861,37387859,33637735,25834869,19181836,13698300,9381642,6146139,6146141,3845957,3845958,6146163,9381691,13698394,19181972,25834971,19183277,13699463,9382434,6146618,6146617,9382430,13699460,13698367,9381675,9381676,13698370,19181823,25834849,25834895,33637826,33637561,33637560,25836124,25834983,25834984,33637898,42667547,53119493,53120388,42669044,33639887,25836842,25836841,33639884,33639520,268423164,33637848,25834926,25834927,25835110,25835111,25834661,19181720,19181721,25834663,25834816,19181805,13698285,13698284,19181801,25834808,33637755,33639852,42667632,33638082,33638081,42667634,42667617,33638023,25835094,25835095,19183529,19183528,22963277,16726732,11684070,7791335,7791334,11684066,16726722,22963270,30365227,38951531,42669005,42668993,33639790,25836737,25836736,33639787,25836745,19183408,13699588,9382538,9382533,6146692,6146695,9382536,13699552,9382504,9382505,13699556,19183379,256156079,20864434,28032115,36494818,28151848,28151849,28152021,20973743,15063140,15063031,15063032,20973560,28151699,28151698,28032378,28032379,35372224,28032251,28032252,20864716,20864718,28032539,36495287,37488634,28946060,28946061,37488635,46353124,46353123,40090406,40090407,48225126,38315393,29746733,22387319,16228867,16228865,12515709,8478971,5480799,5480800,8478973,12515713,17695455,17695714,12515906,8479109,8479110,12515918,17695728,24048925,24048914,22462740,16294627,16294630,22462742,29830103,38402282,254981734,39299133,39299134,35199608,35199607,28032486,20864684,14962620,14962618,20864677,28032474,27253981,27253982,30864972,30864971,39468860,44803408,44803427,35378761,27254158,20321004,14583352,14583350,20321001,27254154,35378992,44803350,35378709,35378710,44803351,39286715,39286716,49213241,44803365,44803364,49216492,54709617,54709618,66968809,73362011,60617163,60617164,60791504,49390955,39462589,39462588,49390951,60791499,73538580,81596780,257251214,49213244,49213243,55704617,68101989,68107351,55710381,44803356,44803355,47162390,47650762,59051900,65538134,78873433,84856018,71282518,71282519,70396477,70396475,67764821,67764819,60385551,55710519,55710518,55704567,55704566,55704580,55704581,60617171,73362019,81591479,73432268,72345997,59612168,48225948,38316438,38316439,48225955,55710703,68107570,73362041,73362008,68107476,55710589,55710588,68107471,78871943,81591623,68101995,55704625,55704626,48225959,48225960,44797148,35372356,35372355,44797144,55704526,68101920,68101857,55704470,44797103,35372339,35372340,44797107,55704476,68101866,81591518,81591596,68101960,55704575,44797169,35372372,27247923,27247924,35372376,44797179,55704588,60617221,60617220,60684287,49283181,39356088,39356086,40840442,40840441,50971931,60617210,49216515,49216516,60617214,255296882,268158864,26137422,255705396,13911769,19441428,26137427,33976303,43033269,33976460,26137551,19441489,19441490,26137558,33976358,43033335,33976521,26137576,26137575,31670204,24160576,17793156,17793155,19441511,13911816,13911817,19441516,19440668,13911159,13911157,19440662,26136494,26137630,33975302,33975301,33976376,26138308,26138307,26137469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9401593, s2 = 9460336, dlinesl.size( ) = 2 s1 = 9401593, s2 = 9460336, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9401593, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 7128848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7128848, s2 = 7495002, int(edited[s2]) = 0 s1 = 7128848, s2 = 7495002, d1 = 16, d2 = 17 Dl.O(d1) = 262957821 Dl.O(d2) = 267212342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7128848, s2 = 7495002, dlinesl.size( ) = 18 s1 = 7128897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9261958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4720606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7129174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7129174, s2 = 4801215, int(edited[s2]) = 0 s1 = 7129174, s2 = 4801215, d1 = 8, d2 = 11 Dl.O(d1) = 262961935 Dl.O(d2) = 187975603,262229024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7129174, s2 = 4801215, dlinesl.size( ) = 20 s1 = 4825767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10140007, s2 = 6724894, int(edited[s2]) = 0 s1 = 10140007, s2 = 6724894, d1 = 115, d2 = 55 Dl.O(d1) = 4411858,7016451,254455496,6194772,9449053,13781752,19279467,25942824,262962945 Dl.O(d2) = 257746457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140007, s2 = 6724894, dlinesl.size( ) = 2 s1 = 10140007, s2 = 6724894, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10140007, Dl.E( ) = 122, 5.58e-05 seconds used appending s1 = 4826052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8691451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8509504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7129704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13797843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13797843, s2 = 4098487, int(edited[s2]) = 0 s1 = 13797843, s2 = 4098487, d1 = 4, d2 = 6 Dl.O(d1) = 198132595,264362460 Dl.O(d2) = 263876642,263122458,153054887,140357895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13797843, s2 = 4098487, dlinesl.size( ) = 2 s1 = 13797843, s2 = 4098487, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13797843, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 9475881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7128544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7128544, s2 = 13487152, int(edited[s2]) = 0 s1 = 7128544, s2 = 13487152, d1 = 87, d2 = 121 Dl.O(d1) = 262954852,182409492,191112236 Dl.O(d2) = 272758246,191129619,191129620,198619059,198619058,204964029,201924119,201924118,195003567,186917226,177635486,167135986,155503159,142954060,142954059,129627303,115731623,101686957,87713166,74106937,61323813,49840548,39816970,39816968,39816967,49840545,61323815,74106941,61323816,61323817,74106944,87713169,87713170,101686958,115731625,129627304,142954063,142954065,142954066,155503167,167135993,177635489,263615713,201924123,201924124,201924125,207747729,212550174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7128544, s2 = 13487152, dlinesl.size( ) = 2 s1 = 7128544, s2 = 13487152, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7128544, Dl.E( ) = 130, 5.6e-05 seconds used appending s1 = 13788859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4828962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8668002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4829654, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7160349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7160349, s2 = 7390256, int(edited[s2]) = 0 s1 = 7160349, s2 = 7390256, d1 = 36, d2 = 33 Dl.O(d1) = 263403017,191215745,198693277,193351961,193351962,198693307 Dl.O(d2) = 266157113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7160349, s2 = 7390256, dlinesl.size( ) = 48 s1 = 7214085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9483373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9483373, s2 = 10340918, int(edited[s2]) = 0 s1 = 9483373, s2 = 10340918, d1 = 105, d2 = 80 Dl.O(d1) = 81204551,81204550 Dl.O(d2) = 13498202,14446066,9938185,9938184,9599229,6303116,3949691,2365148,2365149,2401167,2401089,2401093,4006615,6385179,6029641,3772160,3772155,2400918,1389285,790055,447446,447450,790071,1389319,2400983,4006414,6384869,6575145,6350919,3984789,3984786,6350913,7282433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9483373, s2 = 10340918, dlinesl.size( ) = 92 s1 = 7130387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7130387, s2 = 13168702, int(edited[s2]) = 0 s1 = 7130387, s2 = 13168702, d1 = 51, d2 = 90 Dl.O(d1) = 262994673 Dl.O(d2) = 254180465,1068393,1873010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7130387, s2 = 13168702, dlinesl.size( ) = 46 s1 = 8692556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4831822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4831838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13784401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4701817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4701817, s2 = 14117427, int(edited[s2]) = 0 s1 = 4701817, s2 = 14117427, d1 = 9, d2 = 9 Dl.O(d1) = 191434280,263041138,203824965,197264924,189574927,180676059,170543177,159203337,146828973,133570509,257332080,91235984,77316592,77316593,84782376,77793300,77793301,91235983,105457612,119695909,133570507,146828970,258417938,180676058,189574926,197264922,203824964,209301661,213794130,217480504,273450760,224564646 Dl.O(d2) = 191434280,263041138,203824965,197264924,189574927,180676059,170543177,159203337,146828973,133570509,257332080,91235984,77316592,77316593,84782376,77793300,77793301,91235983,105457612,119695909,133570507,146828970,258417938,180676058,189574926,197264922,203824964,209301661,213794130,217480504,273450760,224564646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4701817, s2 = 14117427, dlinesl.size( ) = 2 s1 = 4701817, s2 = 14117427, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4701817, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 4702686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7130945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7130945, s2 = 10356299, int(edited[s2]) = 0 s1 = 7130945, s2 = 10356299, d1 = 79, d2 = 51 Dl.O(d1) = 263005617,191556410,264112801 Dl.O(d2) = 103488865,259451112,261898883,261787940,157040612,262299410,178792746,170986615,262947314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7130945, s2 = 10356299, dlinesl.size( ) = 82 s1 = 10184989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4834227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4834227, s2 = 14089248, int(edited[s2]) = 0 s1 = 4834227, s2 = 14089248, d1 = 22, d2 = 52 Dl.O(d1) = 199052814 Dl.O(d2) = 256800817,57466683,70127956,83652344,97533433,96664481,96664482,109757346,109669532,95438306,95438305,82088037,257277702,35596574,27414552,20584600,14764944,14645816,10074589,6665019,6665016,6618288,4172826,4172823,6611703,6611702,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500773,1442966,1442962,2498136,1441862,1441858,2498213,2480765,2480760,4149081,6626758,10090419,14670864,20444588,27421144,35606064,45111663,56109612,68582240,68524020,56060521,45074338,35580114,27403810,20432952,14662808,10084934,6623371,267950355,268562445,56060598,257880330,99878146,110574947,110574946,97533432,97533433,110747496,101528544,270374907,61193946,73972441,77632081,77632020,77632018,69836351,57198414,45947215,45947216,57198418,69836359,61783748,61783747,65187473,65187475,56860660,45683658,45652816,35979986,27688969,27302195,26213465,26213463,27166373,27166376,35270564,41110713,33416202,33416198,42406285,43143541,53647138,51216555,41057927,41057926,51216552,62868010,69865815,57226650,268668868,83403605,79070147,79070148,82486115,81931394,68998154,56469945,56285882,56285883,68784136,57222879,56413044,56413043,61872699,74664349,88289332,96552109,110653194,111524521,111524519,256207556,91549029,77621678,269505697,42216540,42216539,52579038,52594514,64477647,69455826,56867761,56867764,65870450,53802688,53802689,65870454,69315334,56747707,56747705,68504035,69315038,82834351,96786309,110844066,110262618,256718782,82047834,69706615,57084585,45857596,45857599,56658779,45526323,255311584,20565655,14752332,14752329,14805352,14650708,10077669,6619197,6619196,6648235,6679433,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500773,1442966,1442962,2498136,1441862,1441858,2498207,2480711,2480707,4148945,6626522,10089972,14670126,20443508,27419445,35603660,45108643,47560521,58943250,58943193,58943188,70113067,57453460,46151611,36336750,27906281,20763122,20763121,27906276,36336733,46151579,57453409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4834227, s2 = 14089248, dlinesl.size( ) = 2 s1 = 4834227, s2 = 14089248, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4834227, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 4704673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8844218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4835636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4835636, s2 = 6581586, int(edited[s2]) = 0 s1 = 4835636, s2 = 6581586, d1 = 17, d2 = 20 Dl.O(d1) = 199097318 Dl.O(d2) = 256202907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4835636, s2 = 6581586, dlinesl.size( ) = 26 s1 = 4835637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4835637, s2 = 4705811, int(edited[s2]) = 0 s1 = 4835637, s2 = 4705811, d1 = 1, d2 = 1 Dl.O(d1) = 199097326,191694941 Dl.O(d2) = 199097326,191694941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4835637, s2 = 4705811, dlinesl.size( ) = 2 s1 = 4835637, s2 = 4705811, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4835637, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4705813, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10357802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7131875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7131875, s2 = 6909698, int(edited[s2]) = 0 s1 = 7131875, s2 = 6909698, d1 = 29, d2 = 27 Dl.O(d1) = 263018919 Dl.O(d2) = 259986841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7131875, s2 = 6909698, dlinesl.size( ) = 2 s1 = 7131875, s2 = 6909698, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7131875, Dl.E( ) = 74, 1.81e-05 seconds used appending s1 = 7740649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7740649, s2 = 110901, int(edited[s2]) = 0 s1 = 7740649, s2 = 110901, d1 = 18, d2 = 10 Dl.O(d1) = 274168171,183244998,173434815,162389318,162389315,270756192,260452264,205444443,199201728,191823507,259226296,162389312,150249475,150249474,150249477,150249478,162389315,270756192,260452264,205444443,199201728,191823510,183245002,183245001,183245005,173434819,259226298,183244999,173434811,173434810,183244998,173434815,162389318,162389315,270756192,260452264,205444443,199201728,191823510,183245002,183245001,183245005,173434819,259226298,183244999,173434811,173434810,183244998,173434815,162389318,162389315,270756192,260452264,205444443,199201728,191823510,183245002,173434816,162389319,162389321,257367542,109273213,268058504,44234230,34879043,26822158,19957006,14290004,14290008,9830880,6458010,4047975,2423370 Dl.O(d2) = 79367540,77362683,64215236,52365772,42027239,33082867,25351975,18770737,13367192,9135624,5978305,5978304,5978356,5978357,9135767,13367535,18771416,25353256,33085258,42031455,49620118,44336673,44093709,34769764,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423378,2423373,4048012,6457396,254684207,270132575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7740649, s2 = 110901, dlinesl.size( ) = 2 s1 = 7740649, s2 = 110901, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7740649, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 4837490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10232608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10232608, s2 = 9724895, int(edited[s2]) = 0 s1 = 10232608, s2 = 9724895, d1 = 110, d2 = 99 Dl.O(d1) = 113038449,260393068,123534597,137265662,273055415,191862698 Dl.O(d2) = 265817832,229452595,230925596,232245408,274899241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10232608, s2 = 9724895, dlinesl.size( ) = 82 s1 = 8564923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8564923, s2 = 11208230, int(edited[s2]) = 0 s1 = 8564923, s2 = 11208230, d1 = 73, d2 = 66 Dl.O(d1) = 6814114,4274010,2555358,2555357,4274009,2933485,1702172,1698944,967577,967578,966056,966054,1699060,2929082,4860654,7681810,11546239,15340026,16575969,11556967,11556966,9116575,9116576,7616628,4819089,2904083,2904081,4819086,4890951,2947353,2947354,4796727,4796728,4801410,4801411,7590614,7590950,7590945,4817899,4817901,4798800,2892501,2892497,4798783,7586825,11415822,9118261,9118260,6813171,4273430,2555053,1471765,832466,469448,263959,263963,469456,832483,1471798,2555112,4273531,6813335,10348117,15020548,11426113,11426112,7746746,7070201,4905463,4905462,7746409,11628922,10701630,7609039,7605692,6542865,6542864,9955162,10029725,6591578,4129519,2470211,2470212,4129528,3535929,2104627,2104629,2895198,3535479,5683482,8730001,9854044,9854045,257303007,67562601,259152573,109343937,260984921,137266698 Dl.O(d2) = 269309205,36996000,256311799,21280943,255822743,268915581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8564923, s2 = 11208230, dlinesl.size( ) = 22 s1 = 11660272, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7132177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7132177, s2 = 8968425, int(edited[s2]) = 0 s1 = 7132177, s2 = 8968425, d1 = 33, d2 = 47 Dl.O(d1) = 263024029 Dl.O(d2) = 241327952,241748992,267112497,242498694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7132177, s2 = 8968425, dlinesl.size( ) = 28 s1 = 8707550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8707550, s2 = 9610455, int(edited[s2]) = 0 s1 = 8707550, s2 = 9610455, d1 = 68, d2 = 78 Dl.O(d1) = 261043775,123572735,123572736,137304291,262574033,183318508,191887187 Dl.O(d2) = 265818839,227803676,265818841,266193133,266396201 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7065328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7065328, s2 = 6605615, int(edited[s2]) = 0 s1 = 7065328, s2 = 6605615, d1 = 25, d2 = 64 Dl.O(d1) = 262088396 Dl.O(d2) = 657737,364609,364612,643111,1146452,1008769,568541,568540,1008764,1770011,2045048,2015978,1153225,646979,646980,1153200,2015937,3415190,3419288,5014261,3447009,2041074,1169702,656455,656454,1169374,1169375,2040578,3446357,5547329,8548814,268002483,1996751,1996755,2005709,1146596,643215,356997,195575,195574,356972,356975,643163,648093,1155160,1156348,2012478,2012479,1150970,647839,647836,1151152,2012820,3377099,3377101,3432884,5547233,3781370,3378664,1989052,1989053,3378668,5487984,5554112,3438457,2034249,2034248,1181461,663696,368153,201607,109995,60395,60397,110002,201626,368179,663739,1181730,2059349,3471935,5595149,6042951,9227028,10910089,11821683,11821684,16893463,23154780,256466117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7065328, s2 = 6605615, dlinesl.size( ) = 2 s1 = 7065328, s2 = 6605615, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7065328, Dl.E( ) = 74, 2.41e-05 seconds used appending s1 = 4839272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7051538, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5335980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8480220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7279139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4712142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4841521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4712196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4712246, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9578832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6986793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6986793, s2 = 15020458, int(edited[s2]) = 0 s1 = 6986793, s2 = 15020458, d1 = 50, d2 = 53 Dl.O(d1) = 261000433,150499262,273297437,191996117,273830881,214945878,218407485,265337531 Dl.O(d2) = 265957941,266196493,266399137,235544223,266570279,274843824,274843823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6986793, s2 = 15020458, dlinesl.size( ) = 32 s1 = 8067573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8067573, s2 = 15656113, int(edited[s2]) = 0 s1 = 8067573, s2 = 15656113, d1 = 9, d2 = 11 Dl.O(d1) = 5551610,8554357,12605140,17806114,24173891,17968881,12733898,8652943,8652942,12733896,17968876,24364476,31892418,37187879,28666644,21420412,15429536,10666675,7044701,7044702,10666678,15429540,21420420,28666656,28755901,28481972,21264361,15301891,15301890,21264355,28481960,36979283,42094496,48762539,38842899,30259318,29189496,22863349,16636320,16636318,22863345,256444373,38843031,48762658,48762551,48762552,60156476,48762594,38843178,30259361,30259362,30346595,38932491,48852007,53322596,65321262,60156732,48762936,38843317,38843318,37175224,28656902,21413163,15424045,10662654,7041765,4431340,4431339,7041762,10662649,15424036,21413145,28656875,37175208,41223481,47715268,37794428,29232107,21915189,15832249,267970321,7262264,10971661,15832251,268395467,37794431,37794425 Dl.O(d2) = 1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282864,1282859,1282586,1282585,1284950,1284948,2214091,3697299,3930602,267757854,13935080,17346110,12219302,254199412,5321486,8249513,12219299,13243956,9044221,5911155,5911154,7802925,254285116,22980537,23813889,17603161,12425220,12425221,13259298,9047095,9047096,13259300,18647420,23948788,17603152,12425214,12425213,17603150,23948783,31440438,40119751,255214130,25193804,25193803,22238632,16103252,11185441,11185440,16103251,22238630,29586399,30076847,30076846,30076854,22695986,16493612,11491621,7643108,4835294,4835293,7643107,11491619,16493606,22695978,30076844,33041802,33041803,41985686,37198946,28676198,21427946,15435271,10670777,10670778,15435273,21427951,28676204,37148292,47037366,58366435,58366434,48569395,38653536,268955349,64382940,52509605,42152001,33193249,33193248,42151998,255827924,47037371,37148296,37148295,37148297,47037372,48380214,59762851,72496631,73563171,60816838,60816837,73563170,87180922,101177792,101177796,101177797,100055843,86093693,72496629,72496628,86093691,84692201,258046200,270293064,99790407,258058636,85837621,85837622,85837631,99790414,113804241,127672196,141020257,148319938,160591892,261648450,148326114,135153713,121303984,107606343,93205874,259605110,92672314,92672315,85563514,78616692,65318545,53318901,42856033,42856034,53318903,269538445,53679049,65735106,79090753,93205875,92672319,92672318,78625233,78625234,92679495,81540861,68054053,68054054,81540863,95571351,258678718,95571348,109771595,109545408,109545409,123737145,137464550,150499421,150499422,150499423,162623020,262092864,191996351,199358212,199358211,264690535,214946004,218407589,221315842,223652001,221140099,218205659,214711634,214711633,218205657,221140100,223652002,225828504,227726440,229391574,230870601,232195853,232195848,230870599,229391573,227726437,225828497,223651987,221140089,221140088,218205644,214711617,210464836,205266836,205266837,205266840,262886914,262886916,191557333,273208790,182913743,173016238,260814660,136281346,136281347,149546627,161851315,173016243,182913750,191557340,198986001,205266848,210464842,210464841,214711623,218205651,221140094,223651994,223651990,274223606,225828500,223651991,265072416,219466101,219466100,219466103,216170750,212193936,264248885,201419814,207324950,201419817,194403237,186214180,186214181,186214182,194403238,201419813,194403233,186214177,186214178,186214181,186214182,194403238,201419818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9718324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9718324, s2 = 4887951, int(edited[s2]) = 0 s1 = 9718324, s2 = 4887951, d1 = 1, d2 = 1 Dl.O(d1) = 255649556,14522656,9992733,9992735,255755601,35247160,269196623,55481787,67823434,81289512,95345733,260411861,261565475,150538591,262586533,183464444,192018446,199376838,201266748,207187911,212071260,264428938,216152827,265011555,201391774,194369117,186169916,273726040,154385002,141737447,128392005,114517778,100493838,259428803,258181261,38878208,30292289,22893936,16664259,11630904,7748305,4906976,4906978,5797831,5797830,7744800,4904489,4904490,7744805,7692762,4868225,4868226,7613614,4816962,2902895,1684023,1684022,2789246,2789244,4629967,4810284,3742240,2240292,2240293,2955917,1713981,1713982,2955919,4904182,7744408,5388579,4894168,4894169,7731113,11611300,7736074,7736073,11432766,7601147,4808564,2898025,2898027,4808583,4273846,4273844,4803242,2895042,2895041,4803261,4814600,4814599,6812774,254538261,2895138,1680100,1680096,2895126,4803431,7593630,4866255,4866253,254794887,16575226,22791248,30180336,38763690,48685476,60081767,72819184,86414290,100370311,114393658,128269909,141620491,154276358,166029097,176669799,186086066,194293474,264523485,265006957,219405581,222194840,224589259,222520139,219779044,216531488,212615246,207822001,202006715,195091646,187008946,177729803,167232967,155601886,143052405,129721789,115822737,101776415,87803957,74200409,61421830,49943857,39926162,39926163,256148918 Dl.O(d2) = 255649556,14522656,9992733,9992735,255755601,35247160,269196623,55481787,67823434,81289512,95345733,260411861,261565475,150538591,262586533,183464444,192018446,199376838,201266748,207187911,212071260,264428938,216152827,265011555,201391774,194369117,186169916,273726040,154385002,141737447,128392005,114517778,100493838,259428803,258181261,38878208,30292289,22893936,16664259,11630904,7748305,4906976,4906978,5797831,5797830,7744800,4904489,4904490,7744805,7692762,4868225,4868226,7613614,4816962,2902895,1684023,1684022,2789246,2789244,4629967,4810284,3742240,2240292,2240293,2955917,1713981,1713982,2955919,4904182,7744408,5388579,4894168,4894169,7731113,11611300,7736074,7736073,11432766,7601147,4808564,2898025,2898027,4808583,4273846,4273844,4803242,2895042,2895041,4803261,4814600,4814599,6812774,254538261,2895138,1680100,1680096,2895126,4803431,7593630,4866255,4866253,254794887,16575226,22791248,30180336,38763690,48685476,60081767,72819184,86414290,100370311,114393658,128269909,141620491,154276358,166029097,176669799,186086066,194293474,264523485,265006957,219405581,222194840,224589259,222520139,219779044,216531488,212615246,207822001,202006715,195091646,187008946,177729803,167232967,155601886,143052405,129721789,115822737,101776415,87803957,74200409,61421830,49943857,39926162,39926163,256148918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9718324, s2 = 4887951, dlinesl.size( ) = 2 s1 = 9718324, s2 = 4887951, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9718324, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13976679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15182584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7003756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8695495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4962790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8616848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8587926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4844777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4844777, s2 = 11440940, int(edited[s2]) = 0 s1 = 4844777, s2 = 11440940, d1 = 25, d2 = 76 Dl.O(d1) = 199423660 Dl.O(d2) = 260609138,153899137,262248110,185786518,194024050,201082885,264225578,201082888,207031746,207031745,211940160,264283464,263624836,273384843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4844777, s2 = 11440940, dlinesl.size( ) = 20 s1 = 9099359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9099359, s2 = 14165799, int(edited[s2]) = 0 s1 = 9099359, s2 = 14165799, d1 = 38, d2 = 32 Dl.O(d1) = 5218568,7311383,4614816,2778884,267888411,11037046,15915641,22017327,17326694,12201583,12201581,12200978,12118923,12118924,12201824,8233309,8229018,5300346,3251209,3251210,5300348,8218948,5288963,5288962,267994691,11717471,7818915,7818916,11717472,16764818,12202167,8233677,8233676,8230421,5301981,3252769,1910234,1910233,254167235,531596,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614149,1093959,1900572,1915900,1609959,915963,915961,1609951,2775378,3242994,2774031,1609071,915487,516587,516584,915478,1609059,2774010,3223515,1895763,1895760,2772813,2772814,3200534,5241743,8172613,8174788,8174781,7305569,5259265,3214980,1883439,1883440,1075935,604401,604402,1075939,254263219,5263217,8193514,6978298,6978299,10578746,8191344,254392227,1884090,1884089,3215961,5253908,5253909,5247308,3205353,1877025,1070825,1070823,1877010,3205332,5247287,7324141,5311139,5311138,5389388,3314004,3314005,267910287,7698559,4872412,4872413,7698563,11566406,16586259,22803386,29621423,22803560,18717704,16128792,11204143,7434323,4697802,2830444,1642187,1642183,2830431,4697778,7434273,4720716,4720719,7469997,7901500,8091674,6959991,4372929,2619634,1512320,857440,857438,1512314,2619624,3795420,3795421,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,5403079,5423335,8404566,7902561,7902563,7902623,11748046,7843678,7843673,6050236,6050240,6059837,9237841,9237856,9236875,9236873,13500783,18936395,15263232,13518927,9250965,6058675,3790880,2270906,2270904,3790874,4369675,6954508,8106466,5193788,3169166,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374326,5404565,5404568,8374338,12392041,13513898,13513899,18950552,17471184,12317496,12317498,17151089,17160943,15294148,10558696,10558697,15294153,21232933,17152849,12056314,12056315,11914679,7970027,7970028,9106315,9106313,13327595,9235333,6059347,6059346,9251830,268146699,25566895,30193604,22803301,16586209,16586208,22803299,30193599,38777620,48699928,39145231,39145230,49075137,60478310,61891698,50401159,40365887,31671158,24161471,24161472,256857243,28571968,256317819,255827901,15369007,10648207,10619343,7008167,4405477,2640845,2640844,4405476,7008166,10619340,15115997,10426517,6874373,4315434,4315435,4315438,6874379,10426527,255376895,28243561,256831513,46626851,55731629,44824108,269205591,258555435,95651798,109854988,261572735,162766083,173765844,183534649,175327649,175327650,184880449,193222234,262915300,205648174,199428412,199428413,199428415,192077339,183534655,173765849,162766087,162766086,173765846,183534653,183534648,173765843,162766082,162766083,173765844,183534651,192077334,183534654,173765849,162766087,162766086,173765846,183534653,183534648,173765843,162766082,162766083,263042595,192077333 Dl.O(d2) = 32189407,32189408,40969087,50153174,40131641,40131643,40869720,32189501,32189500,40969212,51111540,269538472,43349402,34249401,26372313,19639179,14075644,14075645,19639181,26372316,34249403,43349404,51111595,61635589,61635592,62742675,51111368,40969045,40969044,40969137,40969138,51111472,62742771,74415318,61635481,61635480,50153162,40131676,31451589,31451590,257077099,40969245,269442879,62742869,61635495,50153179,40131645,31451557,31451558,32189505,24601706,18153931,18153932,24601707,31451594,31451593,24522701,18091481,12826478,12826477,18091474,24522692,32097929,40869714,32189548,32189550,40969269,40969025,40969026,32189374,32189373,32189384,32189386,40969050,40969184,40969185,51111511,62742809,61635476,50153140,40131669,31451576,23958542,23958543,31451582,35132965,41912801,32972976,25250390,18679593,18679592,25250386,32972972,40131651,31451561,23958535,17610829,17610830,17610821,12430710,12430711,17610824,23958531,24522715,18091488,12826481,8720770,8720771,9680908,14075649,19639187,26372325,256706875,40885590,40885591,51022628,51111502,269414414,86472223,72876615,269358319,22848214,21885804,15809545,15809544,21885800,22848188,16624204,11595960,11595958,16624199,11900740,11900739,16986134,23151562,23151561,30568898,23229340,16956337,12693899,12693898,255551115,12216504,12216503,17342992,15165912,10459100,6894204,4327681,2588995,1492464,845128,845127,1492463,2588992,4327675,6894194,10459083,10462220,6896330,4328925,2589698,2589534,2589535,2589548,2589547,4328673,255016469,10456247,15162036,15162914,15162913,21108654,254223430,23951339,24701401,32315172,254330104,28323210,21113313,21113314,28323213,254332178,254330126,21208818,21208820,28324805,21985302,21112715,15889100,11014505,11014504,11903137,7961032,7961029,11903129,16988335,23251261,28431039,21207130,15240826,15240829,21207142,23251305,16988361,16988360,23251299,28320517,22371325,16216527,11273106,10461370,10461369,15168627,11183890,7420690,4689345,2825594,2825593,4689339,7420676,11183870,16101218,11273256,7483468,7483467,6745856,6745854,10265991,6976849,4383185,4383187,4383231,6976911,10576901,15314165,21275924,21211406,15313040,15313042,21274475,24331009,31495119,24142060,17777655,12581901,12581902,17777658,24142066,31648288,28876460,21601273,15727201,15727202,20072643,20072644,15724807,15719683,15719684,20063873,20063874,20068940,20065096,20065095,256116344,21085236,21085237,28291990,31551442,26254629,26254630,23079021,16826905,14583206,10034585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9099359, s2 = 14165799, dlinesl.size( ) = 18 s1 = 8880028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4716627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4059141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10251488, s2 = 6948823, int(edited[s2]) = 0 s1 = 10251488, s2 = 6948823, d1 = 18, d2 = 9 Dl.O(d1) = 265841878,210897605,273837693,192301919 Dl.O(d2) = 138732010,125408395,260510620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10251488, s2 = 6948823, dlinesl.size( ) = 20 s1 = 7134286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7134286, s2 = 10986244, int(edited[s2]) = 0 s1 = 7134286, s2 = 10986244, d1 = 56, d2 = 52 Dl.O(d1) = 261598221,260465511,97707476,97707477,260465513,138761614,151463286,262608189,263054779 Dl.O(d2) = 268016827,3618205,2160579,2160575,1737756,1737757,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737227,2992381,4956730,7813915,11700158,16745155,22982596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7134286, s2 = 10986244, dlinesl.size( ) = 18 s1 = 9252522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7708102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7708102, s2 = 11480774, int(edited[s2]) = 0 s1 = 7708102, s2 = 11480774, d1 = 10, d2 = 19 Dl.O(d1) = 273316654 Dl.O(d2) = 174217480,163364161,163364160,174217477,183887918,183887916,174217476,261055168,138778723,151480113,163364162,262130140,192363170,264212845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7708102, s2 = 11480774, dlinesl.size( ) = 20 s1 = 10356657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356657, s2 = 8485742, int(edited[s2]) = 0 s1 = 10356657, s2 = 8485742, d1 = 63, d2 = 17 Dl.O(d1) = 262338753,263238735,273710681,265430768,223911823,264701326,264148558 Dl.O(d2) = 125533698,128617927,114721241,114721240,114721239,100675029,260053787,128617935,125533697,111727419,100674998,86701844,73098372,257581933,39043322,30453774,30453775,39043324,44726897,35307325,35307324,31878808,24353988,24353987,29915015,29915014,24353984,24353983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4422781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4847661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4847661, s2 = 9184987, int(edited[s2]) = 0 s1 = 4847661, s2 = 9184987, d1 = 4, d2 = 7 Dl.O(d1) = 223927072,265152117,215122919,210950825,205845414,199673127,192376437,183902106,174233083,163381609,151499236,138798947,138798948,125471023 Dl.O(d2) = 125471020,125471019,125471026,111669659,97750769,83893916,259873070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4847661, s2 = 9184987, dlinesl.size( ) = 2 s1 = 4847661, s2 = 9184987, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4847661, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9437808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7134577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7134577, s2 = 4510929, int(edited[s2]) = 0 s1 = 7134577, s2 = 4510929, d1 = 3, d2 = 12 Dl.O(d1) = 263058467 Dl.O(d2) = 274122287,202264101,195392567,187356245,178123857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7134577, s2 = 4510929, dlinesl.size( ) = 2 s1 = 7134577, s2 = 4510929, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7134577, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 4848274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7134635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7134635, s2 = 14722059, int(edited[s2]) = 0 s1 = 7134635, s2 = 14722059, d1 = 6, d2 = 6 Dl.O(d1) = 263059123,263825065,205873527 Dl.O(d2) = 263059123,263825065,205873527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7134635, s2 = 14722059, dlinesl.size( ) = 2 s1 = 7134635, s2 = 14722059, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7134635, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 4848481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4848481, s2 = 14303477, int(edited[s2]) = 0 s1 = 4848481, s2 = 14303477, d1 = 1, d2 = 1 Dl.O(d1) = 111718888,125526456,261604557,163446092,174294279,183956937,192423921,199713790,199713791,192423922,183956938,262613629,163446093,153734417,141068178,260552958,99830186,85876203,72284069,59549787,48163234,38254062,29688913,255424356,16188624,22336338,29688911,38254061,48163233,59549786,72284067,270841877,113846272,127717339 Dl.O(d2) = 111718888,125526456,261604557,163446092,174294279,183956937,192423921,199713790,199713791,192423922,183956938,262613629,163446093,153734417,141068178,260552958,99830186,85876203,72284069,59549787,48163234,38254062,29688913,255424356,16188624,22336338,29688911,38254061,48163233,59549786,72284067,270841877,113846272,127717339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4848481, s2 = 14303477, dlinesl.size( ) = 2 s1 = 4848481, s2 = 14303477, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4848481, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4848564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4848564, s2 = 12536166, int(edited[s2]) = 0 s1 = 4848564, s2 = 12536166, d1 = 1, d2 = 6 Dl.O(d1) = 199715756 Dl.O(d2) = 255787997,14977831,10310289,6781445,4250895,4250896,6781450,10310299,14977847,15863918,15863916,14977812,14977811,20879789,28047984,32559994,24908939,24908940,32559996,41419299,51266650,41089496,41089497,46371064,36512141,31503060,24004423,17659245,17659246,24004426,31503064,31503093,31503094,40188293,50210212,57721399,63924401,72658116,59918228,59918227,50210240,257664869,73462292,60714260,60714259,60714265,49312159,39384340,39384341,49312161,60714266,73462298,61691974,50210227,50210226,61691972,74474516,76924929,71927671,59188040,59188039,63924406,268121466,255209020,39746225,40188314,40188315,50210244,50210189,40188273,31503066,24004427,24004429,31503069,268999821,39141489,39141490,49071546,256391224,60523008,49121970,49121969,60523006,68141000,68141001,61691953,50210208,40188291,40188292,50210210,61691957,73462294,74474519,63818069,63818070,68141036,55743123,44835261,44835262,47787915,59188044,52104724,41790773,254620530,25162486,32869790,32869785,32869784,41790765,268266570,61691937,52104732,255601246,77037186,81631092,68140986,55743110,55743109,68140970,55743078,44835232,44835233,55743081,68140973,256562886,44835235,44835236,41790782,32869792,254881122,52104738,57721369,256562870,28047990,20879792,20879793,28047992,32869787,41790768,44835249,55743102,68141008,81631106,95664531,102073135,88086663,257695332,95664528,105408548,91186492,257695326,62159726,62159728,74971271,88613225,97802721,97802722,109868432,259372178,116715731,260401916,111724896,105481515,91259294,91186502,77267189,77267188,91186500,81940138,68416531,55968044,45005196,35533983,35533984,45005197,55968046,68416534,81940144,259646253,77339618,77339619,91259292,103878425,95987586,89777262,75999875,63016560,51335594,51335595,63016562,75999879,270790165,111724905,103878422,89777249,89777248,103878420,118020900,131846702,260407078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4848564, s2 = 12536166, dlinesl.size( ) = 2 s1 = 4848564, s2 = 12536166, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4848564, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 4849039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4849039, s2 = 12127207, int(edited[s2]) = 0 s1 = 4849039, s2 = 12127207, d1 = 18, d2 = 33 Dl.O(d1) = 199728760 Dl.O(d2) = 256551438,257682936,58800228,256684446,37505703,28962380,254945706,254456696,18911372,25520919,254945708,37805975,37805974,47727809,256684448,256909365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4849039, s2 = 12127207, dlinesl.size( ) = 24 s1 = 8727960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7217972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7217972, s2 = 11039386, int(edited[s2]) = 0 s1 = 7217972, s2 = 11039386, d1 = 90, d2 = 75 Dl.O(d1) = 264156015 Dl.O(d2) = 254339375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7217972, s2 = 11039386, dlinesl.size( ) = 50 s1 = 14166040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8722298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4850890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4850890, s2 = 14100507, int(edited[s2]) = 0 s1 = 4850890, s2 = 14100507, d1 = 10, d2 = 17 Dl.O(d1) = 199823651 Dl.O(d2) = 46465912,57822630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4850890, s2 = 14100507, dlinesl.size( ) = 2 s1 = 4850890, s2 = 14100507, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4850890, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 8093328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8093328, s2 = 10249527, int(edited[s2]) = 0 s1 = 8093328, s2 = 10249527, d1 = 11, d2 = 11 Dl.O(d1) = 268644922,37264156,36702179,36702178,28510864,28510863,37009445,258781742,38005333,47920726,42504103,256985134,50097859,46467272,272874356,192550930,263575560,194317836,194317835,187458476,262839894,261323126,47533735,256045742,29076704,22728055,22728054,30108859,31036197,23554488,23554489,28898915,28898913,28021040,28021039,21617981,21617980,25262259,32985724,32402037,24778261,18297959,12988197,8841937,7124732,7124731,10782937,15587416,16516307,11510408,7657081,7657079,6600369,4135013,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514227,22719234,254155524,16520183,16520184,20355690,20355689,20094247,20094248,26983259,35066669,257394534,11935599,7987858,268962916,258831185,100958353 Dl.O(d2) = 268644922,37264156,36702179,36702178,28510864,28510863,37009445,258781742,38005333,47920726,42504103,256985134,50097859,46467272,272874356,192550930,263575560,194317836,194317835,187458476,262839894,261323126,47533735,256045742,29076704,22728055,22728054,30108859,31036197,23554488,23554489,28898915,28898913,28021040,28021039,21617981,21617980,25262259,32985724,32402037,24778261,18297959,12988197,8841937,7124732,7124731,10782937,15587416,16516307,11510408,7657081,7657079,6600369,4135013,4135014,4488722,5094968,8003014,9095857,10025926,10025925,14569884,16889041,11817849,11817851,13636316,16514227,22719234,254155524,16520183,16520184,20355690,20355689,20094247,20094248,26983259,35066669,257394534,11935599,7987858,268962916,258831185,100958353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8093328, s2 = 10249527, dlinesl.size( ) = 2 s1 = 8093328, s2 = 10249527, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8093328, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 5135459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6899415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6899415, s2 = 6661549, int(edited[s2]) = 0 s1 = 6899415, s2 = 6661549, d1 = 117, d2 = 74 Dl.O(d1) = 259882749,125704207,263069061,192559843,199832838,264158129 Dl.O(d2) = 36428523,36428524,28257213,21056352,21056353,27968702,36427585,36746952,28253295,26124784,19430338,19430337,20805741,14911077,14911076,256268021,22399806,18081207,16238504,16238503,15346543,15346538,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,8716651,12820572,12818764,8715647,8715646,12818762,18080969,24510141,23538831,22399689,22399690,29761588,38332163,41094762,32285731,24676129,18211202,18211203,24676132,32285735,257139303,40855539,40855540,268704229,24511317,24511316,32085211,40856693,269920363,50991070,258321197,75550855,62613075,50991067,50991066,62613073,75550855,62613075,50991067,40856691,257709619,59622848,50991067,50991066,62613074,258946711,62613075,50991067,50991066,62613074,258761301,59622843,48236077,38326406,29756931,29756932,261181801,269812785,59622840,258761299,72357367,85952504,85952508,72357372,258761303,260004347,260114010,101780607,258874775,257060863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6899415, s2 = 6661549, dlinesl.size( ) = 32 s1 = 10352924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4723158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4723326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4723326, s2 = 8956375, int(edited[s2]) = 0 s1 = 4723326, s2 = 8956375, d1 = 157, d2 = 83 Dl.O(d1) = 192569878,273174684,262843414,163633680,151758510,151758512,163633676,151758507,272819887,262374120 Dl.O(d2) = 267017525 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4851820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8605887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5173501, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4853000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4853000, s2 = 8170801, int(edited[s2]) = 0 s1 = 4853000, s2 = 8170801, d1 = 15, d2 = 36 Dl.O(d1) = 199975807 Dl.O(d2) = 57790563,70491227,84025771,84025779,87208925,98132669,97895181,97895180,84237833,84237832,84677369,71112677,58394862,58394861,71112674,84677365,92986578,85229358,71664303,71100290,58383485,47012264,256317434,37051499,37051500,46929521,58295302,53393478,42927422,33881424,33881423,28622408,28622409,37134897,47022912,47022915,47022916,58394799,58394809,58394810,62607573,62607574,57790570,257992608,42145383,257198065,58394773,58394772,58394765,58394766,71112622,256901518,53393471,64377374,77545702,78700768,78700782,92763981,84677378,84677377,76313953,70491232,57790567,57790568,70491234,58295298,58295299,71010230,58295300,58295301,53240795,47022936,37134909,37134910,256359628,58394787,47022921,37134902,28622412,256321089,257440037,71112641,64377384,64377385,58394881,58394763,47022896,37134889,37134890,47022899,58394770,64377372,52503554,52503556,57966777,53515825,43037621,42927456,42927457,53393530,51573036,51573037,63290982,58394872,47022987,47022988,58394788,58394789,53240799,42789564,42789565,53240801,58394911,71112721,70685277,57967241,57967242,58394816,58394802,58394803,71010250,269257640,47022903,37134892,28622407,21385083,15401775,15401776,21385087,28622416,36703902,257407647,59589821,70685167,70685166,58295311,58295310,47022997,47022996,47045994,48203372,38293990,29727055,29727054,38293987,48203367,47022960,37134931,28622425,21385092,15401778,15401777,21385089,28622420,37134919,257407625,37051522,256855163,57966766,46590323,46590322,257417177,256709651,34293803,36703928,36703927,36703767,256828337,46929552,37051526,37051524,46590751,36703936,28212842,28212841,256828351,36703806,36703804,28212869,28212868,28212727,28212728,36703789,46590645,57967095,48203358,46929516,37051494,37051493,46590325,36703547,36703548,36703771,36703641,36703642,36703814,28212822,28212821,36703628,43393678,34293811,34293809,43393676,46590780,46590624,46590622,55364811,57967046,46590574,36703720,28212674,21019255,15096607,15096606,21019251,28212669,28212720,21019283,21019282,28212717,36703773,46590450,46590729,36703866,28212787,21019331,21019330,256289853,28212698,256289831,46590610,258053178,68051678,257608329,49319908,57967072,57967073,70685153,84237881,256480916,64329877,52462197,42109653,255145506,39391778,256480914,39391781,39391782,49319864,44834397,44834396,50351813,40324907,40324908,50351801,257674675,57848787,58426127,58426126,71147787,78336900,65057992,65057993,78336903,87741774,87741775,101716030,95190127,258838706,88258549,87088368,258215889,60722190,60722195,60722196,73470540,270794653,71077198,257768484,37105594,28597554,28597553,37105592,46492756,258013823,84087708,258215894,70550752,70550753,84087692,84640128,98563312,112556731,112556730,258305060,78465090,78465091,92504993,98563306,84640119,78465073,65181023,65181022,78465071,92504968,106816938,121077025,259553138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4853000, s2 = 8170801, dlinesl.size( ) = 8 s1 = 14165942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4853219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4853219, s2 = 10344853, int(edited[s2]) = 0 s1 = 4853219, s2 = 10344853, d1 = 3, d2 = 20 Dl.O(d1) = 199981872 Dl.O(d2) = 273322009,255805003,15122641,10430657,6876651,6876650,10430656,13894206,9534028,6254288,268516565,271097569,148924433,161236983,172441845,263398247 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10222087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10222087, s2 = 6731407, int(edited[s2]) = 0 s1 = 10222087, s2 = 6731407, d1 = 0, d2 = 2 Dl.O(d1) = 128025038,271763122,126105817 Dl.O(d2) = 264883178,199989994,192751884,273844885,264714153,206106633,199989946,199989945,206106630,264069322,184336262,174719521,163908345,152044286,152044288,139337753,139337752,152044292,163908352,174719535,184336289,192751968,199990076,206106746,264369610,192752004,184336312,184336311,192752001,264163439,263733174,184336177,192751831,192751830,199989943,192751837,192751836,263839093,199990112,206106775,211162390,215296391,211162401,206106786,206106787,211162404,206205314,206106598,199989903,192751791,184336207,174719468,163908296,152044256,152044257,163908290,174719456,163908309,163908308,174719475,184336223,192751833,264069320,184336209,262948150,163908302,174719470,184336213,263839083,199989994,192751884,263361314,263076465,184336176,184336175,192751839,199989953,206106643,200126134,192926669,184532998,174921339,164095889,152207414,152207415,262635183,184533002,192926673,263733176,174719465,163908296,152044256,139337728,125986393,112150010,112150011,125986399,139337739,152044271,163908319,174719409,174719410,184336122,184336164,174719441,163908282,152044247,139337721,125986389,260296008,257810712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10222087, s2 = 6731407, dlinesl.size( ) = 2 s1 = 10222087, s2 = 6731407, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10222087, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 10357334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357334, s2 = 8817290, int(edited[s2]) = 0 s1 = 10357334, s2 = 8817290, d1 = 23, d2 = 28 Dl.O(d1) = 263018085 Dl.O(d2) = 264714345,218706150,221577600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8482058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9737516, s2 = 9431465, int(edited[s2]) = 0 s1 = 9737516, s2 = 9431465, d1 = 14, d2 = 19 Dl.O(d1) = 272549200,268935568,255438686,28915532,255064832,15609505,21641288,28915538,37454748,47281254,47281253,58672446,58747647,58747600,47360794,47360795,58747602,71476756,85048277,256911912,85479139,74818177,74818176,84333321,98240367,112218558,126074622,139445718,152170022,164047759,174865409,184476842,192876679 Dl.O(d2) = 64203703,52353359,42013984,255016082,25339885,23620180,17305744,17305745,23620182,31105346,255807846,60152949,72889083,72859857,60123001,258174765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9737516, s2 = 9431465, dlinesl.size( ) = 14 s1 = 4851126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7136195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6443921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4727327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4728212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4728212, s2 = 13379596, int(edited[s2]) = 0 s1 = 4728212, s2 = 13379596, d1 = 28, d2 = 0 Dl.O(d1) = 192973474,200166816,206240585,206240586,211263114,211263115,214268768,209879297,204524605,198101413,190562555,263383393,171865028 Dl.O(d2) = 42924053,256687580,255701496,254947538,35136202,35136203,255701498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4728212, s2 = 13379596, dlinesl.size( ) = 2 s1 = 4728212, s2 = 13379596, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4728212, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 9673625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9673625, s2 = 11219620, int(edited[s2]) = 0 s1 = 9673625, s2 = 11219620, d1 = 5, d2 = 7 Dl.O(d1) = 21386486,28624115,37136917,47025221,47025220,47025219,47025225 Dl.O(d2) = 192976404,192976402,192976403,184591586,174990115,164173899,262640353,184591585,174990121,174990120,184591588,174990125,174990123,174990122,174990124,184591593,192976407,200169478,201395901,194374853,273566574,261768369,128421905,114539003,100508803,271356889,114539004,100508803,258805419,60207315,60207314,60207315,48810270,38887932,30301952,22903079,16672048,16672047,16672049,22903080,30301953,255975794,60207316,59317378,47924396,38009553,38009552,47924393,257828488,21775456,17582524,12410301,12410300,17582522,23923573,31413146,40092875,50113350,54613832,43871443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9673625, s2 = 11219620, dlinesl.size( ) = 2 s1 = 9673625, s2 = 11219620, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9673625, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 7193701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7193701, s2 = 11433743, int(edited[s2]) = 0 s1 = 7193701, s2 = 11433743, d1 = 6, d2 = 12 Dl.O(d1) = 263845024 Dl.O(d2) = 36916096,29823323,29823324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7193701, s2 = 11433743, dlinesl.size( ) = 14 s1 = 4856642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9043783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8607459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7127641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660424, s2 = 7163880, int(edited[s2]) = 0 s1 = 11660424, s2 = 7163880, d1 = 0, d2 = 0 Dl.O(d1) = 264735571,206500966,263867457,184972980,175429226,164671380,152834955,140140370,126789743,112935161,98945781,85020349,71447923,58717167,47328530,256881123,255847551,255847549,258071957,85020346,98945780,260542367,126789742,261670559,152834954,164671379,175429225,184972978,193306575,264955829,211294403,206275481,200204975,264144112,263453624,139645171,126274593,126274592,262159845,141783772,128429683,114545090,100513907,86551537,258384462,257769944,48816950,38895532,30309619,22909990,16677538,255505397,30309620,36580767,28108509,20931928,254995268,6816461,4275662,4275663,6816463,10351742,15023846,20843983,255162752,6755191,4233000,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1467863,1467865,2218916,1290940,736895,736896,1290942,2225565,3716640,5943713,9086547,9084455,5941963,3715536,2224937,1290540,736670,736669,1290536,2224928,3714913,5941014,6780498,4250227,2540867,1463895,1463893,2540860,4250211,6780479,6790402,6821452,5206278,3176322,3176324,1860771,1860767,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551994,1551856,1551858,2679080,4459684,7083504,6363824,6363823,9676155,14070084,18869539,13445935,9194579,9194578,13445934,18703492,25275997,33000983,256531544,33216457,42175236,46209871,46209870,52532899,57525287,64544667,64544668,58787759,58787758,57525298,46209815,36379149,27934687,20781958,14894925,14894928,20781963,27934697,36379161,38187031,29619875,29619874,38187030,44782898,35359043,27236227,255355621,10241933,10241931,14894872,20781853,27934463,27934462,27934461,35232481,44613912,257883391,43861155,34591063,26604480,19797915,19797917,26604482,34591069,39225636,49152342,60551932,54603937,43861171,36465474,36465473,46318292,57662534,62613821,62613823,67662983,65127199,53142338,42691792,42691790,53142336,58866282,59470346,48079465,48079464,51342812,62080452,72208967,59485991,59485992,65127470,53142645,53142646,64336035,53674737,43164590,34081454,34081451,43164585,53674730,60747323,53007691 Dl.O(d2) = 264735571,206500966,263867457,184972980,175429226,164671380,152834955,140140370,126789743,112935161,98945781,85020349,71447923,58717167,47328530,256881123,255847551,255847549,258071957,85020346,98945780,260542367,126789742,261670559,152834954,164671379,175429225,184972978,193306575,264955829,211294403,206275481,200204975,264144112,263453624,139645171,126274593,126274592,262159845,141783772,128429683,114545090,100513907,86551537,258384462,257769944,48816950,38895532,30309619,22909990,16677538,255505397,30309620,36580767,28108509,20931928,254995268,6816461,4275662,4275663,6816463,10351742,15023846,20843983,255162752,6755191,4233000,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1467863,1467865,2218916,1290940,736895,736896,1290942,2225565,3716640,5943713,9086547,9084455,5941963,3715536,2224937,1290540,736670,736669,1290536,2224928,3714913,5941014,6780498,4250227,2540867,1463895,1463893,2540860,4250211,6780479,6790402,6821452,5206278,3176322,3176324,1860771,1860767,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551994,1551856,1551858,2679080,4459684,7083504,6363824,6363823,9676155,14070084,18869539,13445935,9194579,9194578,13445934,18703492,25275997,33000983,256531544,33216457,42175236,46209871,46209870,52532899,57525287,64544667,64544668,58787759,58787758,57525298,46209815,36379149,27934687,20781958,14894925,14894928,20781963,27934697,36379161,38187031,29619875,29619874,38187030,44782898,35359043,27236227,255355621,10241933,10241931,14894872,20781853,27934463,27934462,27934461,35232481,44613912,257883391,43861155,34591063,26604480,19797915,19797917,26604482,34591069,39225636,49152342,60551932,54603937,43861171,36465474,36465473,46318292,57662534,62613821,62613823,67662983,65127199,53142338,42691792,42691790,53142336,58866282,59470346,48079465,48079464,51342812,62080452,72208967,59485991,59485992,65127470,53142645,53142646,64336035,53674737,43164590,34081454,34081451,43164585,53674730,60747323,53007691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660424, s2 = 7163880, dlinesl.size( ) = 2 s1 = 11660424, s2 = 7163880, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660424, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7189465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4858390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4858390, s2 = 13291624, int(edited[s2]) = 0 s1 = 4858390, s2 = 13291624, d1 = 52, d2 = 37 Dl.O(d1) = 200218366,193945643 Dl.O(d2) = 21256597,15292124,15292126,21256601,23704841,17382005,12248676,8272490,8272489,12248674,8370921,5402472,5344972,3284902,3284903,5344974,8285109,12268918,15419413,17404212,12268819,8285057,8285054,254828868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4858390, s2 = 13291624, dlinesl.size( ) = 2 s1 = 4858390, s2 = 13291624, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4858390, Dl.E( ) = 54, 1.6e-05 seconds used appending s1 = 10228852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7137392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7137392, s2 = 7263746, int(edited[s2]) = 0 s1 = 7137392, s2 = 7263746, d1 = 22, d2 = 15 Dl.O(d1) = 263091689,193068125,200247192 Dl.O(d2) = 211324784,264624180,264724013,265362733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7137392, s2 = 7263746, dlinesl.size( ) = 12 s1 = 4859626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8882838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10233423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10233423, s2 = 13750652, int(edited[s2]) = 0 s1 = 10233423, s2 = 13750652, d1 = 33, d2 = 27 Dl.O(d1) = 98342339,84432805,70875319,70875318,259283821,112325235,126185674,139560768,152290690,152290691,142229651,128877558,126185711,112325256,112325257,126185713,139560810,271807074,126185669,114974871,114974870,128877323,114975092,100921152,86938806,73328321,60584165,258205421,86938799,100921141,114975077,128877552,128877418,114974957,100921069,259283868,60584151,49184224,39258358,30662432,30662433,39258364,49184236,60584174,73328330,86938757,86938827,86938826,100921179,114975122,128877597,142229691,154864277,166566179,164174042,154864251,154864252,166566169,154864238,154864237,154864320,261635916 Dl.O(d2) = 263095644,175107462,164307633,152433895,139708812,261644491,159231548,164307569,152433802,139708725,126333955,112467580,98477380,84555366,84555367,98477384,112467585,126333961,119726376,119726375,112518847,98523961,98523964,112518851,119726340,271768258,119726343,133600583,146858086,272981209,262650560,184690554,263093258,193086028,184722963,184722962,193086025,197286152,197286150,197286151,203844426,263093232,180700441,170569241,170569240,180700439,189597947,197286151,203844426,263093232,180700441,170569241,159231677,146858339,146858340,262923489,189597949,263493112,193086089,272832406,164352964,152485492,139764897,139764899,152485498,164352975,175145795,184723093,180700318,180700317,180700329,263712629,203844418,203844425,203844426,263093232,180700441,180700440,175107477,262166816,193058930,262650524,184723029,180700394,170569168,170569167,180700393,180700074,175145903,175145902,184723167,193058884,184722967,184722965,189597690,180700047,180700048,262166758,152485415,261095470,175145733,184723037,184722970,184722969,193086032,197286008,189597689,180700045,170568737,159231152,159231137,159231136,262923457,262650624,159231149,159231150,164307632,152433894,139708812,261644491,261095560,119726402,105487164,91264623,91264622,105487163,119726399,126334087,126334086,112518718,112518717,126389278,139764722,152485313,164352792,262166698,170568738,159231153,261647342,133600385,119726176,260859199,146857834,139764947,126389446,126389447,139764952,152485564,164353045,170569095,170569094,180700037,170568732,170568730,175145651,164352801,152485468,152485467,139765012,139765013,152485630,164352789,164352788,175145637,175107243,164307398,152433632,152433631,164307395,159231304,146857997,133600517,133600518,139708728,126333955,112467580,98477380,84555366,84555367,98477384,112467585,126333961,119726376,119726375,112518847,98523961,98523964,112518851,119726340,271768258,119726343,133600583,146858086,272981209,175145780,175145782,175145774,175145775,175145803,164352986,152485504,139764902,126389410,126389409,139764899,152485496,164352969,175145788,170569090,170569091,180700320,184690676,193058848,273099100,261647222,139708632,126333896,126333897,126389283,139764728,152485322,159231541,152485420,139764818,126389352,112518758,112518757,126389350,139708785,259918848,112467615,126334003,139708786,152433862,262648149,263093334,180700340,189597903,263493152,262650644,159231533,170569103,180700333,180700337,170569106,159231536,159231537,170569108,180700338,189597902,197286132,200240435,203844427,263093232,180700441,170569241,159231677,146858339,146858340,261647272,262650534,193086089,272832406,164352964,152485492,139764897,139764899,152485498,164352975,175145795,184723093,180700318,170569089,164353021,159231532,146858185,133600656,119726394,105487160,105487159,119726391,133600651,146858176,159231518,159231667,146858330,133600782,133600781,146858328,139708845,139708795,126334014,126334015,139708800,152433872,164307615,263090929,272832410,164307653,164307651,262166816,193058930,262650524,184723029,189597929,197286135,189597908,262650464,262650462,175145711,164352874,152485397,139764796,139764795,152433911,139764809,139764808,146858050,133600556,119726322,260859215,146858046,159231364,164307550,152433780,262164137,146858149,133600625,119726376,119726375,112518847,98523961,98523962,105487017,105487016,119726177,133600389,133600564,133600566,146858061,159231383,170568974,180700139,262650466,119726254,119726255,126333862,139708581,152433609,164307372,175107217,184690467,184690468,262166714,164307721,175107528,180700194,170568931,159231341,262923475,170568892,180700174,180700024,170568723,262923459,263495104,184690491,175107178,262166828,159231142,170568731,263093296,152485630,164352789,164352788,175145637,175107243,164307398,152433632,139708606,126333879,112467536,112467535,261092679,152433626,152433973,152433975,164307713,164307698,164307697,153331369,153331367,159231143,146857829,146857830,260517098,270805580,258044880,71034676,71034677,84598941,98523899,259295838,139764798,139708781,139708780 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14967466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7137767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4861103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7708825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7708825, s2 = 7716904, int(edited[s2]) = 0 s1 = 7708825, s2 = 7716904, d1 = 51, d2 = 79 Dl.O(d1) = 273331666,200311700,263100034 Dl.O(d2) = 262173007,262174914,273555114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7708825, s2 = 7716904, dlinesl.size( ) = 24 s1 = 8620233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4734821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4735514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9217966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8818668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8818668, s2 = 9407853, int(edited[s2]) = 0 s1 = 8818668, s2 = 9407853, d1 = 16, d2 = 18 Dl.O(d1) = 264730519,211408449 Dl.O(d2) = 102290129,88296781,257403658,50389404,40354556,40354535,31659600,24149197,24149195,29165467,37725394,44147745,44147744,44836923,55744764,59563093,58405641,49459781,49459782,257797079,43801348,34542730,34542731,43588359,255347906,34528346,43441369,43441371,34883046,26824694,26819546,19955524,14289426,14289430,9830798,6457982,4047982,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358842,43488683,51842520,41557605,41557608,43456973,54006748,66097870,66097871,54830743,44044832,34738122,34738125,44044836,269624063,260386061,262567159,262587530,272064985,79471549,257962812,61186936,258856771,80266448,270609671,257871507,26480555,256714247,257871509,260367263,261487688,114546523,261769139,136424351,122465384,108065878,108065877,122465382,262062515,173095316,162061270,149844816,261021886,259826408,66813664,66813663,79699959,66302223,66302224,54239121,43604850,34424646,34424648,43604854,54239128,66411098,66397497,54227644,54227643,66397496,79804893,93907511,271688548,50965203,58512081,71237538,269586369,43506147,34368449,34368452,43506192,44047633,52446656,52446658,55106837,44267777,44267778,43778064,34528420,26556205,19762550,14157077,9733721,6401032,6401029,9733709,9724198,6396542,4013893,2405454,1391915,791514,791516,1391818,791994,791995,792002,792005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8818668, s2 = 9407853, dlinesl.size( ) = 14 s1 = 8724840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6743417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7106420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4737154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4737154, s2 = 16289737, int(edited[s2]) = 0 s1 = 4737154, s2 = 16289737, d1 = 8, d2 = 8 Dl.O(d1) = 126667998,140021141,152715836,164553608,175317606,184870177,193212196,200372634,197254572,189564104,180663970,170530009,159188730,260027790,133554659,119679259,105440336,91217719,77297290,64148182,52295900,41954997,41210241,32388990,24767667,18289660,12981769,8837061,8837060,5812185,5812184,8906637,13070414,18401383,22388578,22388577,29748451,33012728,25287722,18714768,16517100,14606706,10289401,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044573,10044571,14484042,14484041,20187385,21620795,26982761,26982760,20840475,14941052,14941051,20840472,28005050,36463730,28033556,255006060,14938313,10273965,10273966,10310738,6781834,5378709,4264787,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793224,10324136,8600245,8600247,12664708,13299389,13302459,9084043,5941629,5941628,9084041,13302457,18663257,13271471,9056320,9056319,9056327,6847576,4296673,2568799,2568797,4277089,2557198,2557201,4277095,6818456,10291335,9086681,5943826,3716719,2225608,1290968,736903,736901,1290954,2225589,1483884,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065561,9083138,9083137,13301483,10317546,6787447,4255123,2543785,1465523,829268,467930,263214,145790,145789,263207,467913,829234,1465449,2543657,2228666,1292512,1292513,2228670,2536379,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124409,12081643,10309384,10309383,9096518,5951301,5951302,9096523,13300531,14970893,10303081,6775077,4246694,4246693,4260480,4260481,4272835,6812252,6818008,6818007,5940764,3714735,3714736,5940768,6806381,6806380,6790843,4257589,2545320,2545321,4257591,4277840,2557680,2557681,4277843,6798839,6798840,254440335,3719025,2564540,2564539,4289342,6836166,10308133,6816817,6816819,6770727,4243692,3372154,3372151,1984285,1984284,3372191,5480056,4286271,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550941,4266705,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219482,3705958,4295244,2567942,2567944,4295253,6845347,10386918,14966647,10352152,6816887,4296770,4296771,6847714,10390011,15066285,20977851,21458928,21458929,25270294,18698381,13305356,9086909,5943991,3716853,3716852,5943987,9086902,13305345,18698365,25243281,18673329,13281332,13281330,10722660,7084124,4460097,4460099,7084133,10297007,6769845,5952990,5952991,9098618,13318172,18711378,20898992,20898993,28070264,36537176,46398058,57748828,68129267,55731481,44823920,35398260,27271789,20336069,14594754,14594755,18482387,18482388,14594236,10042236,6599429,4134459,4134458,6599426,255169013,267909179,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141650,23417639,23417782,268428401,31235107,31235108,31235397,23752524,23752527,31235654,39911225,39910556,31234751,255446832,255785501,255882250,21900381,15821115,15821114,20281691,14552512,14552511,17933333,254521652,22822018,16601954,16601955,22822019,27157563,27157562,268025040,254762630,17124661,12034375,12034376,17124664,18130642,21900350,29214597,35256524,35256523,255884020,21900084,29214288,26417480,26417481,268795467,43393578,53918745,65987500,79354531,93491103,107928999,122355892,136340840,149608477,161907806,173061386,182947089,191581414,199003413,191581412 Dl.O(d2) = 126667998,140021141,152715836,164553608,175317606,184870177,193212196,200372634,197254572,189564104,180663970,170530009,159188730,260027790,133554659,119679259,105440336,91217719,77297290,64148182,52295900,41954997,41210241,32388990,24767667,18289660,12981769,8837061,8837060,5812185,5812184,8906637,13070414,18401383,22388578,22388577,29748451,33012728,25287722,18714768,16517100,14606706,10289401,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044573,10044571,14484042,14484041,20187385,21620795,26982761,26982760,20840475,14941052,14941051,20840472,28005050,36463730,28033556,255006060,14938313,10273965,10273966,10310738,6781834,5378709,4264787,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793224,10324136,8600245,8600247,12664708,13299389,13302459,9084043,5941629,5941628,9084041,13302457,18663257,13271471,9056320,9056319,9056327,6847576,4296673,2568799,2568797,4277089,2557198,2557201,4277095,6818456,10291335,9086681,5943826,3716719,2225608,1290968,736903,736901,1290954,2225589,1483884,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065561,9083138,9083137,13301483,10317546,6787447,4255123,2543785,1465523,829268,467930,263214,145790,145789,263207,467913,829234,1465449,2543657,2228666,1292512,1292513,2228670,2536379,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124409,12081643,10309384,10309383,9096518,5951301,5951302,9096523,13300531,14970893,10303081,6775077,4246694,4246693,4260480,4260481,4272835,6812252,6818008,6818007,5940764,3714735,3714736,5940768,6806381,6806380,6790843,4257589,2545320,2545321,4257591,4277840,2557680,2557681,4277843,6798839,6798840,254440335,3719025,2564540,2564539,4289342,6836166,10308133,6816817,6816819,6770727,4243692,3372154,3372151,1984285,1984284,3372191,5480056,4286271,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550941,4266705,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219482,3705958,4295244,2567942,2567944,4295253,6845347,10386918,14966647,10352152,6816887,4296770,4296771,6847714,10390011,15066285,20977851,21458928,21458929,25270294,18698381,13305356,9086909,5943991,3716853,3716852,5943987,9086902,13305345,18698365,25243281,18673329,13281332,13281330,10722660,7084124,4460097,4460099,7084133,10297007,6769845,5952990,5952991,9098618,13318172,18711378,20898992,20898993,28070264,36537176,46398058,57748828,68129267,55731481,44823920,35398260,27271789,20336069,14594754,14594755,18482387,18482388,14594236,10042236,6599429,4134459,4134458,6599426,255169013,267909179,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141650,23417639,23417782,268428401,31235107,31235108,31235397,23752524,23752527,31235654,39911225,39910556,31234751,255446832,255785501,255882250,21900381,15821115,15821114,20281691,14552512,14552511,17933333,254521652,22822018,16601954,16601955,22822019,27157563,27157562,268025040,254762630,17124661,12034375,12034376,17124664,18130642,21900350,29214597,35256524,35256523,255884020,21900084,29214288,26417480,26417481,268795467,43393578,53918745,65987500,79354531,93491103,107928999,122355892,136340840,149608477,161907806,173061386,182947089,191581414,199003413,191581412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4737154, s2 = 16289737, dlinesl.size( ) = 2 s1 = 4737154, s2 = 16289737, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4737154, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 13783435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13371517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9676431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9676431, s2 = 7220897, int(edited[s2]) = 0 s1 = 9676431, s2 = 7220897, d1 = 129, d2 = 93 Dl.O(d1) = 263616662,129653843,142982566,262329279,263108271 Dl.O(d2) = 264186939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9676431, s2 = 7220897, dlinesl.size( ) = 62 s1 = 8676552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4738807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4738807, s2 = 11660321, int(edited[s2]) = 0 s1 = 4738807, s2 = 11660321, d1 = 5, d2 = 10 Dl.O(d1) = 193281105 Dl.O(d2) = 83874183,70349203,70349202,83874181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4738807, s2 = 11660321, dlinesl.size( ) = 2 s1 = 4738807, s2 = 11660321, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4738807, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 8748226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5087871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5087871, s2 = 8275995, int(edited[s2]) = 0 s1 = 5087871, s2 = 8275995, d1 = 37, d2 = 14 Dl.O(d1) = 206490422,211486092 Dl.O(d2) = 107355525,92950805,78844235,270577085,107355524,107355523,107355524,92950804,78844235,65512039,65512038,256691292,32296429,254949248,20352400,14608768,268035982,20811193,15599917,10791768,7129900,4488607,4488606,4488602,4488601,4766982,4766980,7535916,10298116,10298115,14965639,10783236,10783237,12663544,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044545,10044546,14597738,16225707,20961193,15051830,10377871,10377872,15051835,20339221,20339219,21623068,21623070,19464761,19464760,26165225,27288601,27276670,27276669,20841274,14941778,14941779,17035073,17035074,20841077,14941619,14941618,12205308,8237256,8237260,12205316,10044875,6601009,4135411,2473762,1429948,1429949,2473767,4135427,6601036,6600290,6600292,9773679,14216744,19844112,16555004,11539008,7676739,7676738,255111753,256294265,15128233,254718567,2582523,1487898,841873,841877,574760,574761,575708,1021757,1780690,1030352,580620,324703,179339,179338,324700,282755,156187,85755,47070,47072,85760,156197,98610,98611,179288,324596,580413,1030006,1783018,3058801,3072786,3084834,3084835,5047437,3057591,1782171,1016322,572885,572884,1016320,1782169,3057590,1783297,1016996,1016997,573249,573247,1016684,1016686,575114,321889,254129599,1789852,3069886,3073230,3059508,254175685,1022500,1792648,1796454,254253971,3072778,3053947,3053949,5043519,7932892,5077327,3079357,1797039,1780289,1780290,3055085,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802749,3057767,1797252,1025559,581020,324921,324922,322240,322239,575833,1021955,1791790,1787686,1019295,1019293,1022028,1785289,1018029,1018027,1785279,1792115,1786536,1786539,1785810,1785812,3063502,1794386,1023729,1023726,1794399,3055825,1805722,1486401,1486398,1805666,1805663,3091069,3091090,254256492,5047717,5041806,3052589,1778365,1778364,1786914,1018894,574194,574197,321472,177767,97898,97899,177771,321480,574265,1019051,1787226,254131172,255147045,11924671,268101245,16979659 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8700191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4866505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10172365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9692898, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10188099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353523, s2 = 5030653, int(edited[s2]) = 0 s1 = 10353523, s2 = 5030653, d1 = 83, d2 = 93 Dl.O(d1) = 255316514,22231811,16097012,16097014,21144889,21279310,21804163,15743433,10903498,10903499,15743436,21804167,29102368,37651432,34643571,34643570,38831517,36462540,36462539,38875026,30289288,22891189,16661799,16661798,22891188,30289285,30313424,30313425,32095392,24520401,22891102,16661745,11628484,11628486,12996234,8847870,8847869,12996228,18308448,24791533,269946319 Dl.O(d2) = 208188089,264736680,116787956,259555409 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7265034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7265034, s2 = 10353522, int(edited[s2]) = 0 s1 = 7265034, s2 = 10353522, d1 = 12, d2 = 10 Dl.O(d1) = 264736681,200482223 Dl.O(d2) = 269946318,10800586,7136400,4492961,2699352,2699353,4492966,7136412,10390434,10390433,15066669,20978211,21642575,15610617,10800463,10800464,15610620,21642580,28917113,37456441,37651091,29102080,21803917,15743254,10903353,10903355,7211160,4543461,2731223,1582573,899698,507492,507491,899695,1582569,2731211,4543442,4032389,4032387,6427320,255316515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7265034, s2 = 10353522, dlinesl.size( ) = 14 s1 = 8722065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8722065, s2 = 15164863, int(edited[s2]) = 0 s1 = 8722065, s2 = 15164863, d1 = 6, d2 = 6 Dl.O(d1) = 199744598,262306324,261795734,185006499,185006501,175465661,164711159,164711158,175465662,185006500,193337992,185006501,175465661,164711159,164711158,175465662,185006500,193337992,185006501,175465663,175465662,175465660,164711156,164711157,164711159,152879132,140187839 Dl.O(d2) = 199744598,262306324,261795734,185006499,185006501,175465661,164711159,164711158,175465662,185006500,193337992,185006501,175465661,164711159,164711158,175465662,185006500,193337992,185006501,175465663,175465662,175465660,164711156,164711157,164711159,152879132,140187839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8722065, s2 = 15164863, dlinesl.size( ) = 2 s1 = 8722065, s2 = 15164863, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8722065, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 4868188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4868188, s2 = 6846158, int(edited[s2]) = 0 s1 = 4868188, s2 = 6846158, d1 = 30, d2 = 15 Dl.O(d1) = 200499709,193350435 Dl.O(d2) = 259169168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4868188, s2 = 6846158, dlinesl.size( ) = 14 s1 = 4868866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13864739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13864739, s2 = 8574605, int(edited[s2]) = 0 s1 = 13864739, s2 = 8574605, d1 = 19, d2 = 10 Dl.O(d1) = 193380853,185052167,175514498,175514496,185052165,185052155,175514488,175514487,164763916,164763915,175514491,185052159,193380859,200528034,206562527,264193551,200528042,193380868,185052168,175514498,175514496,185052165,185052155,175514488,175514487,164763916,164763918,175514494,185052163,193380864,264193547,264193549,193380869 Dl.O(d2) = 200528042,193380868,185052168,175514498,175514496,185052165,185052155,175514488,164763914,164763913,164763924,261677835,126897964,126897963,140245147,152934611,164763913,164763923,152934615,152934616,261677835,126897964,113045393 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4743378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4743445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4743577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4743577, s2 = 5373234, int(edited[s2]) = 0 s1 = 4743577, s2 = 5373234, d1 = 1, d2 = 12 Dl.O(d1) = 193482413 Dl.O(d2) = 222351026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4743577, s2 = 5373234, dlinesl.size( ) = 2 s1 = 4743577, s2 = 5373234, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4743577, Dl.E( ) = 18, 2.38e-05 seconds used appending s1 = 13590751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4284502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4284828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4284828, s2 = 1177794, int(edited[s2]) = 0 s1 = 4284828, s2 = 1177794, d1 = 14, d2 = 124 Dl.O(d1) = 165010281 Dl.O(d2) = 254692158,24211962,24211961,31719189,40410859,34264797,26387509,254287832,16642090,16642091,22869937,30211272,30211271,24215219,24215218,26628812,22587135,22587137,23130947,23130946,21761040,15705625,10872466,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181817,254549036,17119198,14519034,9990433,9990432,14519030,13531467,9261646,6066041,6066040,9261644,13531463,9261661,9261660,13531503,18967011,25575718,25575585,18966910,13531438,13531437,18966907,22245334,22245335,26395160,26395159,34270886,34264718,26387427,26387425,34264714,34268827,27958441,20796824,14903855,10247295,10247298,10384564,15059025,14090330,9691437,6374500,3999795,3999796,6374506,9691453,12028427,11838577,11838578,16915919,17767079,19656954,15466864,15466863,21468440,19660543,14092562,12032999,12032998,16916337,13288449,13288450,18681299,22576838,22576837,23178941,28783959,28783960,22874806,22874805,30272016,254324584,18786115,25370184,26388633,21482408,21482409,28739990,23389215,17117399,17117398,23389213,29905627,22549447,22549446,29905626,32459326,29943708,29943707,30820478,29943709,29943710,38507542,30183607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4284828, s2 = 1177794, dlinesl.size( ) = 30 s1 = 8606342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13774077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10239059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7741817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8536983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8611613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10247868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13843329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4873883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4873883, s2 = 3673489, int(edited[s2]) = 0 s1 = 4873883, s2 = 3673489, d1 = 70, d2 = 47 Dl.O(d1) = 200747771 Dl.O(d2) = 127291530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4873883, s2 = 3673489, dlinesl.size( ) = 24 s1 = 13784019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4609691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7646350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7646350, s2 = 10358933, int(edited[s2]) = 0 s1 = 7646350, s2 = 10358933, d1 = 99, d2 = 120 Dl.O(d1) = 270833197 Dl.O(d2) = 264981773,265714151,266113171,231339455,266327921,233776334,234829525 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358932, s2 = 7646349, int(edited[s2]) = 0 s1 = 10358932, s2 = 7646349, d1 = 119, d2 = 96 Dl.O(d1) = 231339454,266113170,265714150,264981772 Dl.O(d2) = 270833196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13850587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7834518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7834518, s2 = 10360642, int(edited[s2]) = 0 s1 = 7834518, s2 = 10360642, d1 = 25, d2 = 20 Dl.O(d1) = 254918134,29735567,22377813,22377816,29144758,21837137,15767668,15767669,21837143,16313872,16313873,22486092,29851432,37967432,33095118,25361692,25361691,29403474,29403473,22377796,22377795,29735535,37795283,29232899,29232900,37795284,259361131,258395962,140808655,153489229,165285321,175982001,185458158,193728434,200820655,206806208 Dl.O(d2) = 215793424,219135888,221957815,224381124,265091152,274309300,231356276,274489374,266054564,235800362,266378166,237518650,266737001,274751017,234907479,233861244,233861245,266233778,230868009,265870328,265569608,223647991,225824802,227723251,229388820,274583111,234477165,235465568,236367771,236367773,236367772,266639393,238627046,239252883,239828493,266939509,241308900,267072551,267211941,242141442,267033566,240876920,240386409,239857633,239284819,266712962 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8241757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8241757, s2 = 5633049, int(edited[s2]) = 0 s1 = 8241757, s2 = 5633049, d1 = 29, d2 = 39 Dl.O(d1) = 259370786,256932546,33603881,25806309,19159109,19159108,18923718,18923719,19449875,22074489,29405039,256922319,59283923,261706403,263139905 Dl.O(d2) = 265194332,265194331,274513553,266424375,236673079,235996640,266351481,230230584,274565748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8241757, s2 = 5633049, dlinesl.size( ) = 40 s1 = 7141870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7141941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4751444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8727560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7714626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7714626, s2 = 11109500, int(edited[s2]) = 0 s1 = 7714626, s2 = 11109500, d1 = 20, d2 = 23 Dl.O(d1) = 273501937,218419334,273738356,206863750,200885054 Dl.O(d2) = 47172718,256330263,256330265,258061993,259043934,37266650,255838581,15474770,15474771,21477241,28734465,23912593,17569751,17569753,17799636,17799637,20235106,20235108,17569628,12397816,8378502,5407074,5407071,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256819,17392798,23716546,31203998,30859527,23428498,17556520,15460507,10689971,10689972,15460513,12691643,12691641,17913960,254828162,255150498,23899649,17554676,12384175,8368498,8368499,12384179,17380046,254828286,5337499,3281071,1929999,1102705,1102707,1930011,3281099,3281048,3281050,5337443,5337399,5337398,4514196,4514199,5590050,8602307,8287343,8287342,12272399,17413756,256006911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7714626, s2 = 11109500, dlinesl.size( ) = 38 s1 = 7142392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4617586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4617586, s2 = 4627178, int(edited[s2]) = 0 s1 = 4617586, s2 = 4627178, d1 = 16, d2 = 46 Dl.O(d1) = 185633659,193888086 Dl.O(d2) = 212089482,212089483,212089487,207208153,207208152,207208159,201289440,194257163,186047311,176629404,165986044,154229425,141568572,128212570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4617586, s2 = 4627178, dlinesl.size( ) = 36 s1 = 7264915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7264915, s2 = 3170064, int(edited[s2]) = 0 s1 = 7264915, s2 = 3170064, d1 = 44, d2 = 43 Dl.O(d1) = 264735626,193893180 Dl.O(d2) = 261670648,113837498,99822954,99822955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4881240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4881240, s2 = 8016541, int(edited[s2]) = 0 s1 = 4881240, s2 = 8016541, d1 = 70, d2 = 85 Dl.O(d1) = 200967469 Dl.O(d2) = 15500883,21510060,21510066,21510065,255039904,58600846,71333320 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165836, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4881437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4881437, s2 = 7694988, int(edited[s2]) = 0 s1 = 4881437, s2 = 7694988, d1 = 1, d2 = 2 Dl.O(d1) = 200972553 Dl.O(d2) = 262238433,272859688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4881437, s2 = 7694988, dlinesl.size( ) = 2 s1 = 4881437, s2 = 7694988, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4881437, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8653882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4618293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7246502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8723414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 40300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4882313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7143175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7702872, s2 = 7882250, int(edited[s2]) = 0 s1 = 7702872, s2 = 7882250, d1 = 69, d2 = 130 Dl.O(d1) = 273127425 Dl.O(d2) = 268610844,29343122,22011082,15909548,11030976,11030977,10666038,7044211,7044210,10666037,12228655,12228685,12228686,17358527,22285043,16141553,16141554,16782399,20063319,14379145,9885118,6494941,4069793,2435305,2435306,2435315,2435314,4069813,6494979,9885181,14379248,20063496,25291620,18718043,13324480,13324482,18718027,268199890,23398634,254488600,49360016,60763263,61352905,49871067,49871065 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13762881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13762881, s2 = 14235472, int(edited[s2]) = 0 s1 = 13762881, s2 = 14235472, d1 = 3, d2 = 148 Dl.O(d1) = 185771620 Dl.O(d2) = 238505014,237811854,237049500,236214809,235299545,234295461,233192081,231972318,230617785,229097490,227376079,265286424,220525607,264620310,209262611,203782641,197218641,262917232,262456534,159137948,146764385,133508614,119636964,105401041,91179321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13762881, s2 = 14235472, dlinesl.size( ) = 86 s1 = 7000823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7000823, s2 = 7201791, int(edited[s2]) = 0 s1 = 7000823, s2 = 7201791, d1 = 112, d2 = 102 Dl.O(d1) = 261185194,199343961 Dl.O(d2) = 216092316,212106529,207227833,264522691,194280896,263934540,141605267,128254439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7000823, s2 = 7201791, dlinesl.size( ) = 38 s1 = 9554304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7143496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7143496, s2 = 2482852, int(edited[s2]) = 0 s1 = 7143496, s2 = 2482852, d1 = 56, d2 = 9 Dl.O(d1) = 263162223 Dl.O(d2) = 61765943,70915228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7143496, s2 = 2482852, dlinesl.size( ) = 2 s1 = 7143496, s2 = 2482852, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7143496, Dl.E( ) = 78, 2.19e-05 seconds used appending s1 = 9712182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4758314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13983447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13756355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13756355, s2 = 4884119, int(edited[s2]) = 0 s1 = 13756355, s2 = 4884119, d1 = 27, d2 = 3 Dl.O(d1) = 141259843,153931607,165706401,176371249,185811804,194045490,264226873,263556221,262727657,165706401,176371249,185811804,194045491,201101535,207047662,211954124,264766417,207047654,201101528,201101529,207047657,211954122 Dl.O(d2) = 201101530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13756355, s2 = 4884119, dlinesl.size( ) = 16 s1 = 13752975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13752975, s2 = 10197037, int(edited[s2]) = 0 s1 = 13752975, s2 = 10197037, d1 = 16, d2 = 5 Dl.O(d1) = 263402234,193266160,200426042 Dl.O(d2) = 86051133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13752975, s2 = 10197037, dlinesl.size( ) = 2 s1 = 13752975, s2 = 10197037, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13752975, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 7235524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8647745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4886291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4886291, s2 = 15242589, int(edited[s2]) = 0 s1 = 4886291, s2 = 15242589, d1 = 8, d2 = 3 Dl.O(d1) = 201215505,194174447,194174448 Dl.O(d2) = 165870678,176525000,185954062,186680577,177360085,177360084,260671726,155114512,155114513,142470202,142470201,155114514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4886291, s2 = 15242589, dlinesl.size( ) = 2 s1 = 4886291, s2 = 15242589, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4886291, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10346216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346216, s2 = 10354056, int(edited[s2]) = 0 s1 = 10346216, s2 = 10354056, d1 = 8, d2 = 31 Dl.O(d1) = 44640295 Dl.O(d2) = 113774133,99760066,258749745,72212094,85806210,99760068,98170149,98170148,259272271,70723455,259272269,112131802,125968270,139320182,152028392,163894480,174707543,184325894,184325893,192742293,264162619,199980836,192742295,184325895,174707545,163894482,272823385,139320184,139320183,125968273,112131803,112131804,98170151,270281057,58008067,46633274,36745985,28250370,255377207,10429002,10429001,15119987,21049989,28250368,36745984,46633272,58008064,70723454,60374310,48977668,39055510,30465475,23056954,23056957,21180266,19418305,13892553,13892552,15217684,21177772,28397952,28411018,36908357,46785988,54694785,66953639,80383197,94441943,108734106,114144891,100111276,86145230,72546874,59811787,59811784,48425873,38518308,29953693,22589831,16407294,11423717,11423718,16407295,22589833,29953695,38518311,38518309,38518310,48425876,59811785,72546873,86145226 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8729449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8729449, s2 = 13776962, int(edited[s2]) = 0 s1 = 8729449, s2 = 13776962, d1 = 0, d2 = 11 Dl.O(d1) = 176561776 Dl.O(d2) = 194202374,201240270,264375120,201240252,264517657,212050256,207164784,201240258,194202364,194202363,264517661,201240267,201240266,264517663,212050259,212050258,207164792,204352527,204352528,201240260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8729449, s2 = 13776962, dlinesl.size( ) = 8 s1 = 4762538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13777041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7078999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7078999, s2 = 4912896, int(edited[s2]) = 0 s1 = 7078999, s2 = 4912896, d1 = 12, d2 = 11 Dl.O(d1) = 262266101,263177125 Dl.O(d2) = 202200792,195318907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7078999, s2 = 4912896, dlinesl.size( ) = 14 s1 = 8616254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4310769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4763552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4763552, s2 = 5439781, int(edited[s2]) = 0 s1 = 4763552, s2 = 5439781, d1 = 0, d2 = 13 Dl.O(d1) = 194243944 Dl.O(d2) = 222166091,224563451,224563450,226645940,265729919,226645939,224563452,222166089,265401387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4763552, s2 = 5439781, dlinesl.size( ) = 18 s1 = 13719661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7732261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9256828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4890002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8893445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8893445, s2 = 10175203, int(edited[s2]) = 0 s1 = 8893445, s2 = 10175203, d1 = 27, d2 = 31 Dl.O(d1) = 266237774,274351338 Dl.O(d2) = 268233794,22795301,30185040,30185038,22795297,16578610,16578609,255938055,38768735,257562449,60086570,257562446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8893445, s2 = 10175203, dlinesl.size( ) = 8 s1 = 11660122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14740946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14740946, s2 = 7225675, int(edited[s2]) = 0 s1 = 14740946, s2 = 7225675, d1 = 7, d2 = 7 Dl.O(d1) = 211552448,263927652,264242455,212132944,216117626 Dl.O(d2) = 211552448,263927652,264242455,212132944,216117626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14740946, s2 = 7225675, dlinesl.size( ) = 2 s1 = 14740946, s2 = 7225675, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14740946, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7145536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7145536, s2 = 7258387, int(edited[s2]) = 0 s1 = 7145536, s2 = 7258387, d1 = 12, d2 = 48 Dl.O(d1) = 263185067 Dl.O(d2) = 274684021,235897344,234947780,233904814,274600115,230083647,230083646,231495526,266289907,266067613,230798441,230798442,265805555,225671679,223448761,220880476,217867463,264653781,204514178,198089383,190548805,181813407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7145536, s2 = 7258387, dlinesl.size( ) = 28 s1 = 4217454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4891197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10244324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7074117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4778012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4767084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13827363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4891877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7145799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4631361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4631361, s2 = 9047977, int(edited[s2]) = 0 s1 = 4631361, s2 = 9047977, d1 = 0, d2 = 6 Dl.O(d1) = 186161021,194360785 Dl.O(d2) = 274470298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4631361, s2 = 9047977, dlinesl.size( ) = 2 s1 = 4631361, s2 = 9047977, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4631361, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 4892389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7145961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8706259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8706259, s2 = 4019144, int(edited[s2]) = 0 s1 = 8706259, s2 = 4019144, d1 = 39, d2 = 0 Dl.O(d1) = 72981925,86578972,261224223,263191507,194391204 Dl.O(d2) = 147335606,260901636,9319270,6104724,6104727,9319238,254660914,19064064,256145775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8706259, s2 = 4019144, dlinesl.size( ) = 42 s1 = 9581320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4769631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10229237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4894969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4894969, s2 = 7115006, int(edited[s2]) = 0 s1 = 4894969, s2 = 7115006, d1 = 9, d2 = 12 Dl.O(d1) = 201498152 Dl.O(d2) = 262763678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4894969, s2 = 7115006, dlinesl.size( ) = 14 s1 = 4771066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4771066, s2 = 7224375, int(edited[s2]) = 0 s1 = 4771066, s2 = 7224375, d1 = 1, d2 = 27 Dl.O(d1) = 194501943 Dl.O(d2) = 264227735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4771066, s2 = 7224375, dlinesl.size( ) = 18 s1 = 4895234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8650441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4486304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4486304, s2 = 11660349, int(edited[s2]) = 0 s1 = 4486304, s2 = 11660349, d1 = 1, d2 = 1 Dl.O(d1) = 177023384,177023385,186384094,194543553,194543554,201532685,264534945,216229944,265411891,265738727,266011979,266011977,228547830,265868146,231665541,264995202,226924296,224880946,222527341,219786878,216539969,212624328,207831960,202017468,261185224,177749678,167256470,155626812,143077526,129747821,115848689 Dl.O(d2) = 177023384,177023385,186384094,194543553,194543554,201532685,264534945,216229944,265411891,265738727,266011979,266011977,228547830,265868146,231665541,264995202,226924296,224880946,222527341,219786878,216539969,212624328,207831960,202017468,261185224,177749678,167256470,155626812,143077526,129747821,115848689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4486304, s2 = 11660349, dlinesl.size( ) = 2 s1 = 4486304, s2 = 11660349, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4486304, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7175127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4896138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10245415, s2 = 15642540, int(edited[s2]) = 0 s1 = 10245415, s2 = 15642540, d1 = 12, d2 = 1 Dl.O(d1) = 89300933,75544871,75544870,89300932,260785401,144532205,262531158,177046611,168384588,156930353,272567418,117515293,131311119,130031604,259718926,88077929,74465644,74465645,86838910,100820107,114871309,128768426,142123363,271598994,154757371,142123330,128768384,259718906,144532211,131311123,117515296,117515297,116122072,261846185,167521996,263634725,202177731,202577250,195769970,187820506,178703411,263397516,156930358,144532210,261893917,167522000,263250525,194559360,194559361 Dl.O(d2) = 128768382,114871278,259718902,154757364,156930347,168384586,178703408,187820503,195769967,263766748,213016885,216874583,219523789,216238989,263766758,262986830,186403511,177046627,166464065,154757406,142123360,142123359,142123357,128768409,114871294,114871295,128768410,142123358,128768418,128768419,142123374,154757403,142123355,142123354,154757400,155906929,155906928,166464083,155906912,155906910,167522005,177993677,186403499,177046613,166464060,154757395,142123352,128768406,114871292,114871293,259718916,154757396,261097048,139785026,126410974,112541076,112541075,126410972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10245415, s2 = 15642540, dlinesl.size( ) = 2 s1 = 10245415, s2 = 15642540, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10245415, Dl.E( ) = 18, 1.31e-05 seconds used appending s1 = 4896206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9565436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4772925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4772925, s2 = 7480137, int(edited[s2]) = 0 s1 = 4772925, s2 = 7480137, d1 = 1, d2 = 69 Dl.O(d1) = 194583739,201567077 Dl.O(d2) = 267066812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4772925, s2 = 7480137, dlinesl.size( ) = 2 s1 = 4772925, s2 = 7480137, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4772925, Dl.E( ) = 110, 5.08e-05 seconds used appending s1 = 4896763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8677470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8677470, s2 = 8773976, int(edited[s2]) = 0 s1 = 8677470, s2 = 8773976, d1 = 26, d2 = 23 Dl.O(d1) = 268710688,255617506,26142305,256692855,53517756,270360636,39416672,260680201,261800577,264265647,191927926,263435400,261556120,128073844,114187185,269818880,256960748,2903283,2903499,4818035,7614389,11448907,7618671,4820356,4820355,4818217,4818209,4818207,255103869,269821072,261199135,154110840,165877814,176532155 Dl.O(d2) = 274349777,194586046,273145148,262296217,177077948,186432734,194181259,264516245,201221721,264771037,264771035,265571325,224258227,221819182,265586284,211529844,206540650,200503573,264259124,175484447,262192511,152899835,272840599,140209638,261243780,58798263,257097755,24207849,24207848,31715520,40407700,50441796,269295342,37348557,256153994,42377655,42377656,34590418,26603794,19797258,19306843,19306842,25973908,254664960,254454896,25722908,19092044,19092045,18988752,18988751,18988737,13549919,13549920,18988738,25600805,18988742,13549925,9276005,6076010,3801695,2277141,2277140,3801694,267933253,2990150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8677470, s2 = 8773976, dlinesl.size( ) = 16 s1 = 9043977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8336948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4897539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4897539, s2 = 12444807, int(edited[s2]) = 0 s1 = 4897539, s2 = 12444807, d1 = 45, d2 = 47 Dl.O(d1) = 201591239,194610836,263204931 Dl.O(d2) = 1776461,1776462,3049329,5036335,7921781,11852581,256460735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4897539, s2 = 12444807, dlinesl.size( ) = 2 s1 = 4897539, s2 = 12444807, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4897539, Dl.E( ) = 48, 1.19e-05 seconds used appending s1 = 9264812, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4324760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4324760, s2 = 8731615, int(edited[s2]) = 0 s1 = 4324760, s2 = 8731615, d1 = 29, d2 = 24 Dl.O(d1) = 166552737,261799666,272589052,186479981,194628937,186479975,177129756,261799666,272589052,186479981,194628937,186479975,186479973,194628933,194628941,194628940,194628934,194628936,263602464,201607835,194628935,186479974,186479973,263214464,194628928,186479964,177129749,166552728,166552729,177129750,262783310,177369457,263205630,271839481 Dl.O(d2) = 166552776,154848323,154848327,166552784,177129794,186480011,194628967,263602472,207594775,201748354,263214474,177369491,177369493,177129739,261254140,142212590,142212589,259463804,259463806,262299689,177129806,262783326,201607863,263952388,212324302,207481741,201607848,201607849,207481744,207481756,201607867,194628981,186480040,262783326,201607863,263952388,212324302,207481741,201607848,264792361,263602466,194628956,264258359,207481741,201607848,201607849,207481744,207481756,207481757,263952376,201607843,264792359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4324760, s2 = 8731615, dlinesl.size( ) = 12 s1 = 8084991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8574604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4776243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4901139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4901139, s2 = 14165887, int(edited[s2]) = 0 s1 = 4901139, s2 = 14165887, d1 = 3, d2 = 11 Dl.O(d1) = 201769375 Dl.O(d2) = 261255866,114159215,258841178,72561237,59825951,48439918,48439919,38531643,29965665,22600802,16417569,11433467,268090083,22600801,22600804,16417570,11433467,7601648,4808874,2898193,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7622293,9982685,7587782,7587674,7587672,11416987,12838974,18106468,22865505,17246161,12128342,8159833,5230589,5230590,3361180,1976078,1128040,1128041,1976079,3361181,5466074,8459691,12490262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4901139, s2 = 14165887, dlinesl.size( ) = 2 s1 = 4901139, s2 = 14165887, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4901139, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 7361197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4778440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4779280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4779518, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10239709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8681482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7148666, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7228366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4645734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4868152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4868152, s2 = 8485216, int(edited[s2]) = 0 s1 = 4868152, s2 = 8485216, d1 = 33, d2 = 71 Dl.O(d1) = 200498851 Dl.O(d2) = 257463473,258696802,1563524,2698936,4492316,7135516,10799561,15609590,21632337,15601181,10792802,7130609,4489072,4489073,7130612,10792807,15601189,21632351,21857901,19838040,14211831,11601581,7723018,7723017,10441671,15139359,21076307,21637907,15606120,11482001,7636733,7636732,11481999,268104568,11550661,11048921,11048922,11933799,11933800,16269421,12556957,8513480,8513478,12556954,17746634,21695208,15654918,10835919,7162934,4511407,4511406,4747730,4747731,7510841,11312261,15441709,11586455,11586456,16611771,21632808,18536783,13171305,13171191,11265470,7478561,7478562,11265472,16205764,22357884,17287161,15657886,10838867,10838868,11311636,11311635,15655681,15655683,15996208,15996207,21633886,255242526,255045397,255464770,10886232,10886233,12288326,12288327,255557899,24076408,17719628,17719629,23614508,17301406,17301405,23614505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4868152, s2 = 8485216, dlinesl.size( ) = 76 s1 = 10340623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8660443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8660443, s2 = 14247942, int(edited[s2]) = 0 s1 = 8660443, s2 = 14247942, d1 = 21, d2 = 1 Dl.O(d1) = 119726867,105487702,91265295,91265296,105487703,119726869,133601130,146858587,159231927,170569455,180700632,189598119,197286299,264050524,180700630 Dl.O(d2) = 129546391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8660443, s2 = 14247942, dlinesl.size( ) = 2 s1 = 8660443, s2 = 14247942, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8660443, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 7148838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8568950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8708812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8708812, s2 = 8620733, int(edited[s2]) = 0 s1 = 8708812, s2 = 8620733, d1 = 236, d2 = 227 Dl.O(d1) = 261820211,167139239,263229843,195006126 Dl.O(d2) = 167109392,261818593,260701941 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7149095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4905764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4905764, s2 = 7149094, int(edited[s2]) = 0 s1 = 4905764, s2 = 7149094, d1 = 7, d2 = 7 Dl.O(d1) = 201956424,201862746,263231344 Dl.O(d2) = 201956424,201862746,263231344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4905764, s2 = 7149094, dlinesl.size( ) = 2 s1 = 4905764, s2 = 7149094, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4905764, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 13461197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9711721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8774556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4907440, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4907531, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13741565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10262927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4909215, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6953007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6953007, s2 = 5686723, int(edited[s2]) = 0 s1 = 6953007, s2 = 5686723, d1 = 10, d2 = 18 Dl.O(d1) = 260555068,261682204,195196381,202097169 Dl.O(d2) = 219825256,222559634,224908055,226947535,228725673,230290598,231681758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6953007, s2 = 5686723, dlinesl.size( ) = 10 s1 = 4909479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4909479, s2 = 6611286, int(edited[s2]) = 0 s1 = 4909479, s2 = 6611286, d1 = 15, d2 = 16 Dl.O(d1) = 202103560 Dl.O(d2) = 256523476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4909479, s2 = 6611286, dlinesl.size( ) = 2 s1 = 4909479, s2 = 6611286, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4909479, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 4910057, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10267889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4911153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3748710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3748710, s2 = 6817019, int(edited[s2]) = 0 s1 = 3748710, s2 = 6817019, d1 = 44, d2 = 79 Dl.O(d1) = 129960141,143288280,263247221 Dl.O(d2) = 72237786,59502609,268494922,22285137,16141615,11213694,254680956,1643281,1643284,2408780,2408779,2410125,1394499,793001,449062,252685,252681,449051,792972,1394444,2410004,4022185,254680947,14184345,255312807,9744288,6407395,5351329,3288877,3288881,5351347,8295152,9744328,14174141,12282564,8294936,5351250,3288844,3288845,5351254,8294942,5735409,5735410,8804784,10014107,268178657,27211710,23749962,23749963,26607636,19800177,14182660,14182659,19800174,26607629,20280700,14551735,10012907,10012906,14551731,20280694,17424182,17424183,23749673,17760272,17760270,17760204,17760203,17760241,17760240,24121790,23750861,17425173,12281783,8294487,8294486,12281780,13708365,9389301,6151378,6151381,9389316,12282803,8295053,5351306,254590085,12282801,17426691,23752523,31235649,39911224,34590223,26603604,19797103,19797105,24121641,17760104,12567515,12567517,17760105,17424753,12281508,12281505,14936724,14936727,16375929,22552830,22552874,22552872,27227619,27227620,30605828,31233965,30189311,29654871,29654870,37961890,29397469,29397468,37961886,37774702,255445422,15819951,10963490,10963495,15819959,19360418,15820432,10963777,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,16809698,11754664,7848443,7848440,11076546,15959592,22064129,29394491,32156066,27210169,20281987,14552713,14552714,15821174,10964222,10964221,15821172,21900463,29214697,29213601,21899490,15820466,15820467,21899492,18540430,13173800,13173799,17054168,15959542,15959543,15959554,20246315,19797146,15199668,15199667,15623827,10810123,10810122,15623822,21659904,17023216,11938256,7989778,5085306,3084861,1800708,1800709,3084864,5085313,7989792,11938295,17023284,23282491,20335345,20335344,17177931,12078149,12078147,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939275,4878104,4877597,2939011,1704286,968749,968747,1704279,2336386,2336389,1499193,849675,479886,479884,849670,1499184,2598728,4340823,254721217,255812183,21154912,28371887,36868441,39066979,39066980,48990955,258814637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3748710, s2 = 6817019, dlinesl.size( ) = 38 s1 = 9545989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4789930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9434769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9434769, s2 = 8314417, int(edited[s2]) = 0 s1 = 9434769, s2 = 8314417, d1 = 0, d2 = 0 Dl.O(d1) = 170621829,159286112,261432729,119790253,105556287,105556288,119790255,133660968,133660970,125539027,125539026,138871703,151574480,143387924,130057143,116148568,102091224,88104570,269877837,50230149,40209261,31523573,256535837,31523574,40209262,40209263,50230151,61710330,258897831,88104572,88104571,102091227,260733207,143387925,155928733,167540894,178009175,187254781,195304582,202187934,202187935,195304583,195304584,202187936,207975267,212747005,212747009,207975270,202187942,202187941,195304593,187254791,178009183,262354255,143387947,130057170,116148617,102091337,88104673,258275233,50230216,40209313,31523606,24022029,17672498,254863019,5470881,3365573,1979723,1979722,3365570,254603303,12497042,17672488,24022008,31523574,257083259,61710329,74492581,88104572,88104571,102091227,272267225,167540895,167540894,178009175,187254780,195304584,202187937,207975267,212747006,216648773,216648771,212747009,212747008,207975272,202187943,195304593,187254792,178009183,178009182,187254789,195304590,202187940,273891885,274383794,167540903,155928745,155928743,143387947,143387946,130057173,130057171,116148617,102091335,102091336,116148619,130057172,143387948,155928744,155928747,261305651,116148620,102091338,88104674,74492663,61710410,50230218,40209314,31523606,31523605,40209312,40209315 Dl.O(d2) = 170621829,159286112,261432729,119790253,105556287,105556288,119790255,133660968,133660970,125539027,125539026,138871703,151574480,143387924,130057143,116148568,102091224,88104570,269877837,50230149,40209261,31523573,256535837,31523574,40209262,40209263,50230151,61710330,258897831,88104572,88104571,102091227,260733207,143387925,155928733,167540894,178009175,187254781,195304582,202187934,202187935,195304583,195304584,202187936,207975267,212747005,212747009,207975270,202187942,202187941,195304593,187254791,178009183,262354255,143387947,130057170,116148617,102091337,88104673,258275233,50230216,40209313,31523606,24022029,17672498,254863019,5470881,3365573,1979723,1979722,3365570,254603303,12497042,17672488,24022008,31523574,257083259,61710329,74492581,88104572,88104571,102091227,272267225,167540895,167540894,178009175,187254780,195304584,202187937,207975267,212747006,216648773,216648771,212747009,212747008,207975272,202187943,195304593,187254792,178009183,178009182,187254789,195304590,202187940,273891885,274383794,167540903,155928745,155928743,143387947,143387946,130057173,130057171,116148617,102091335,102091336,116148619,130057172,143387948,155928744,155928747,261305651,116148620,102091338,88104674,74492663,61710410,50230218,40209314,31523606,31523605,40209312,40209315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9434769, s2 = 8314417, dlinesl.size( ) = 2 s1 = 9434769, s2 = 8314417, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9434769, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4912542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13794889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8579620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8579620, s2 = 7036761, int(edited[s2]) = 0 s1 = 8579620, s2 = 7036761, d1 = 86, d2 = 74 Dl.O(d1) = 259395574,155946974,261190902,187269807,195317469 Dl.O(d2) = 261683061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8579620, s2 = 7036761, dlinesl.size( ) = 18 s1 = 10357400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4913852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4913852, s2 = 7315760, int(edited[s2]) = 0 s1 = 4913852, s2 = 7315760, d1 = 42, d2 = 88 Dl.O(d1) = 202250547 Dl.O(d2) = 265330964,229454155,230927083,232246795,233437860,234519917,235505898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4913852, s2 = 7315760, dlinesl.size( ) = 42 s1 = 7211036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9229887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7678967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7678967, s2 = 8580976, int(edited[s2]) = 0 s1 = 7678967, s2 = 8580976, d1 = 32, d2 = 24 Dl.O(d1) = 272239041,274364267,265004734,264521070 Dl.O(d2) = 167942517,178222759,187441980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7678967, s2 = 8580976, dlinesl.size( ) = 50 s1 = 8684711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7151902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4794421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4172778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10249526, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4916580, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4916744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10244782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4918203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4796389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13526743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4919940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4798140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4798140, s2 = 785132, int(edited[s2]) = 0 s1 = 4798140, s2 = 785132, d1 = 13, d2 = 6 Dl.O(d1) = 195732240 Dl.O(d2) = 20153116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4798140, s2 = 785132, dlinesl.size( ) = 62 s1 = 4920516, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9714219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9714219, s2 = 8898703, int(edited[s2]) = 0 s1 = 9714219, s2 = 8898703, d1 = 7, d2 = 4 Dl.O(d1) = 38247353,256875608,22330952,16184602,11250119,7468009,4719428,4719426,254774849,16184600,256400545,24504928,18076329,12815099,254624241,5671822,8713090,12815106,18076339,24504939,32078720,40850552,50985272,62607750,75545820,89301861,103391419,117516300,131312174,144533204,272939657,168385556,178704221,187821144,195770543,202577743,208298664,213017292,216874974,220072968,222774692,225098368,265770193,228879920,230432287,231811702,233051884,234173106,266542713,236121224,236966826,266756723,239663818,240207510,240710617,241176789,241608265,242007411,242375459,242716958,267096556,241680967,241254609,240793848,240296782,274799842,238547628,274477280,265247828,220673057,217617283,264287970,204056412,263244858,181006176,170887174,159559174,147199963,133977236,120135497,105923445,91715976,257656452,42317495,33337110,25577790,25577791,23898955,17553765,17553766,21231938,21232128 Dl.O(d2) = 206276346,211295261,215396180,218784667,221645919,224102840,226234037,228089174,229716935,231161243,266210863,233625897,233478568,232288665,230970860,229500576,265771918,225961193,227845506,229500573,229500572,227845505,225961192,223801301,221309378,218400433,214938302,210729831,210729832,205578331,199349860,191987519,183428947,262867364,109533138,95278337,81220821,67754512,55414192,44566663,35188388,256753335,27099624,20200097,20200096,27099622,27099625,27099626,35188391,44566667,257918573,258538955,95278339,260408023,137452880,150488118,162612181,159402947,147022255,133774304,119905615,105669848,91446433,77516686,64351380,52481390,42126628,33170432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9714219, s2 = 8898703, dlinesl.size( ) = 2 s1 = 9714219, s2 = 8898703, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9714219, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 13823475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4799367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14304257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8658932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8657707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4801980, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7729063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729063, s2 = 6634119, int(edited[s2]) = 0 s1 = 7729063, s2 = 6634119, d1 = 70, d2 = 87 Dl.O(d1) = 273885237,201674548,263726512,264364134,220170084,220170083,222853251,225162924,225162864,222853190,222853188,220170054,220169486,220169483,222852492,222493134,220172572,217000249,213176658,208500520,202826263,196068471,188172971,188172972,196068473,202826060,202826061,202826246,208500483,273791250,264634814 Dl.O(d2) = 68129397,55731637,256767428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7729063, s2 = 6634119, dlinesl.size( ) = 22 s1 = 6981843, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8736681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8736681, s2 = 8687656, int(edited[s2]) = 0 s1 = 8736681, s2 = 8687656, d1 = 0, d2 = 8 Dl.O(d1) = 179267149,179267148,188318728,196202265,202947128,208600364 Dl.O(d2) = 202947132,202947135,196202269,196202268,202947130,202947129,208600365,213246703,213571913,209013140,203460210,203460212,209013138,203460209,196828947,189078463,180128293,169953291,169953292,178637479,178637478,178637481,168301337,168301338,178637483,168301340,168301339,168301349,158587833,156832505,144421972,144421973,144421971,131191277,117388042,103258806,89168900,89168899,103258805,117388040,105122110,105122112,256101216,63942554,63942552,52121941,41806671,32884038,32884039,254637986,268137630,79359818,65992720,53923760,43398480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8736681, s2 = 8687656, dlinesl.size( ) = 2 s1 = 8736681, s2 = 8687656, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8736681, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 4802614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4802614, s2 = 11493240, int(edited[s2]) = 0 s1 = 4802614, s2 = 11493240, d1 = 1, d2 = 25 Dl.O(d1) = 196208762 Dl.O(d2) = 265202810,220077984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4802614, s2 = 11493240, dlinesl.size( ) = 32 s1 = 14211431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14211431, s2 = 7202027, int(edited[s2]) = 0 s1 = 14211431, s2 = 7202027, d1 = 6, d2 = 6 Dl.O(d1) = 223795570,225955469,227839778,229494920,230965529,232283928,232283925,230965523,229494916,229494917,230965525,232283926,266301219,266398597,235220874,234205681,234205682,234205684,233088857,231853641,231853642,233088858,234205680,233088853,233088849,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191469,228939190,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,228939197,227191475,225189885,265455793,222886572,274353436,213252078,264325435,196209268,263937288 Dl.O(d2) = 223795570,225955469,227839778,229494920,230965529,232283928,232283925,230965523,229494916,229494917,230965525,232283926,266301219,266398597,235220874,234205681,234205682,234205684,233088857,231853641,231853642,233088858,234205680,233088853,233088849,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191469,228939190,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,230481434,231853639,230481436,230481429,228939195,227191473,225189884,225189883,227191471,228939193,230481427,231853634,233088850,231853632,230481425,230481424,231853629,233088848,231853644,230481440,266042907,230481433,228939197,227191475,225189885,265455793,222886572,274353436,213252078,264325435,196209268,263937288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211431, s2 = 7202027, dlinesl.size( ) = 2 s1 = 14211431, s2 = 7202027, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14211431, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2672300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7153952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7153952, s2 = 6621169, int(edited[s2]) = 0 s1 = 7153952, s2 = 6621169, d1 = 19, d2 = 45 Dl.O(d1) = 263300963 Dl.O(d2) = 256627757,256112873,13306304,12349269,12349270,17512719,23856077,21652322,15618007,15618006,21652318,28929455,37470724,32995299,25271109,25271107,32995259,25271094,18699140,13306162,9087770,5944882,5944879,4495902,2701289,1565005,1565004,267966435,256884865 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4803383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7174379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7174379, s2 = 978151, int(edited[s2]) = 0 s1 = 7174379, s2 = 978151, d1 = 25, d2 = 19 Dl.O(d1) = 263576695,201359949,272665480 Dl.O(d2) = 24748617,262883611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7174379, s2 = 978151, dlinesl.size( ) = 14 s1 = 8555001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4804104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13796397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8658375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8687065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8687065, s2 = 7794678, int(edited[s2]) = 0 s1 = 8687065, s2 = 7794678, d1 = 79, d2 = 81 Dl.O(d1) = 188533366,196385840 Dl.O(d2) = 245843659,275018511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8687065, s2 = 7794678, dlinesl.size( ) = 42 s1 = 11660632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8820878, s2 = 7325253, int(edited[s2]) = 0 s1 = 8820878, s2 = 7325253, d1 = 26, d2 = 17 Dl.O(d1) = 262893463,263687449,203167423,264606793,208770192 Dl.O(d2) = 265436458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8820878, s2 = 7325253, dlinesl.size( ) = 32 s1 = 4806156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4806776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7189317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9356559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7075895, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9280920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9280920, s2 = 5930181, int(edited[s2]) = 0 s1 = 9280920, s2 = 5930181, d1 = 30, d2 = 21 Dl.O(d1) = 263325137,196835499,203466941,209020275,213578795,209020279,203466943,203466942,209020277,213578797,217312125,220421163 Dl.O(d2) = 237793936,238487994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9280920, s2 = 5930181, dlinesl.size( ) = 16 s1 = 4929429, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7170189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4929748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5111662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4809973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8780996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8780996, s2 = 10275107, int(edited[s2]) = 0 s1 = 8780996, s2 = 10275107, d1 = 60, d2 = 26 Dl.O(d1) = 213719463,264618951,203721538,197148551,197148550,197148547,197148546,203721534 Dl.O(d2) = 264958719,211331091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8780996, s2 = 10275107, dlinesl.size( ) = 2 s1 = 8780996, s2 = 10275107, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8780996, Dl.E( ) = 62, 2.6e-05 seconds used appending s1 = 13843851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7210177, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8688480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8688480, s2 = 8981401, int(edited[s2]) = 0 s1 = 8688480, s2 = 8981401, d1 = 69, d2 = 77 Dl.O(d1) = 272991445 Dl.O(d2) = 267234285,243902492,267287605,267488271,267523767,246191835,267504410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8688480, s2 = 8981401, dlinesl.size( ) = 54 s1 = 4813394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4813394, s2 = 6585788, int(edited[s2]) = 0 s1 = 4813394, s2 = 6585788, d1 = 16, d2 = 18 Dl.O(d1) = 197270194 Dl.O(d2) = 256268467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4813394, s2 = 6585788, dlinesl.size( ) = 2 s1 = 4813394, s2 = 6585788, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4813394, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 7156452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7156452, s2 = 5466472, int(edited[s2]) = 0 s1 = 7156452, s2 = 5466472, d1 = 30, d2 = 28 Dl.O(d1) = 263337663 Dl.O(d2) = 225433173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7156452, s2 = 5466472, dlinesl.size( ) = 34 s1 = 7156483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7156483, s2 = 14325351, int(edited[s2]) = 0 s1 = 7156483, s2 = 14325351, d1 = 11, d2 = 13 Dl.O(d1) = 263338013 Dl.O(d2) = 263487667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7156483, s2 = 14325351, dlinesl.size( ) = 18 s1 = 7719234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7719234, s2 = 10355224, int(edited[s2]) = 0 s1 = 7719234, s2 = 10355224, d1 = 10, d2 = 10 Dl.O(d1) = 273625165,274142994,273626682,197283007,273443201,262923242,261427236,260263054 Dl.O(d2) = 273625165,274142994,273626682,197283007,273443201,262923242,261427236,260263054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7719234, s2 = 10355224, dlinesl.size( ) = 2 s1 = 7719234, s2 = 10355224, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7719234, Dl.E( ) = 12, 2.86e-06 seconds used appending s1 = 10357575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357575, s2 = 8688777, int(edited[s2]) = 0 s1 = 10357575, s2 = 8688777, d1 = 29, d2 = 1 Dl.O(d1) = 262624567,263652916 Dl.O(d2) = 180701740,189599199,197287276,203845420,209319787,203845418,203845414,197287271,260760562,170570527,159233089,146859915,133602916,257108184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10357575, s2 = 8688777, dlinesl.size( ) = 2 s1 = 10357575, s2 = 8688777, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10357575, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 10360643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360643, s2 = 7834519, int(edited[s2]) = 0 s1 = 10360643, s2 = 7834519, d1 = 15, d2 = 13 Dl.O(d1) = 234907480,274583110,230022666,228423107,226602674,224514116,265569609,265870329,231441487,266233779,233390732,233390731,234477164,274751016,266737000,235320012,266378167,231998249,266054565,274489375,225448990,274309301,265091153,213823983,209335066,203862525,197306313 Dl.O(d2) = 180724101,170594767,159259580,146888821,133635798,119766100,105532752,91314761,258395963,259361130,9142078,5982518,5982517,9142076,13374393,9141080,5981831,5981833,8410987,9140317,5981351,3740216,3740215,5981347,8443827,7119818,7119817,10775734,9141052,5981813,3740490,2239329,2239330,3740492,5981815,254918135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360643, s2 = 7834519, dlinesl.size( ) = 2 s1 = 10360643, s2 = 7834519, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10360643, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 4935458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10231639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4935885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5552091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165804, s2 = 14218135, int(edited[s2]) = 0 s1 = 14165804, s2 = 14218135, d1 = 30, d2 = 29 Dl.O(d1) = 23422043,23422044,28174231,28174251,28173786,20992670,15079142,10400758,6856112,6856111,10400753,15079132,20993058,23198611,23198614,30620207,30558508,30558509,23141462,16881320,16881321,20993000,15079094,15079095,16881309,11810917,11810916,7889350,5010606,3029710,1762816,1004289,565938,565940,1004298,1762830,3029738,5010663,5010679,5010676,7889471,11811097,11891569,16978365,23244852,23422009,17145017,12049372,12049370,17145005,17106316,17106314,254723210,18707866,273625735 Dl.O(d2) = 261049392,52527190,42169121,33209228,25461370,24761785,18285124,18285126,255875989,15866968,15866966,255875987,9110253,9110256,13333469,18729815,21062003,19869387,15408506,10650507,10650506,14235796,9786235,6433896,6433897,4471630,2686573,1556246,884775,499226,499231,884798,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787899,4628169,7327253,11051759,10752314,10752313,11376770,11304077,11304078,16258984,22425332,21565703,17302314,15540490,15540491,11371297,7554456,4777154,4777155,7554458,11371302,15547572,10753076,7485429,7485430,11276348,11374867,7556888,4778495,254535787,11371515,7556929,7556932,4990186,4990188,7862117,7556570,4778306,4778307,7556575,9927735,8205189,5276495,5276496,5276594,7104186,4472723,4472720,7104178,4777524,4777523,7555126,7757591,10751334,7103136,7103135,10751329,15545287,254370460,14431149,9926815,9926816,11376416,16348975,16343048,16343047,17295534,12174230,12174229,10747006,7100332,7100333,7561070,7561071,11380701,16354084,22512734,16338997,11368318,11368320,16339001,20127749,27018678,21979819,15884704,15884703,21979817,22514942,16341434,11370234,11370233,16274275,16274278,14431300,9926927,9926928,7888221,7888220,11809414,16879579,22528504,21979227,21979229,23607461,17294809,17294808,23139820,17319486,17319487,22523380,23637446,17321886,12197006,12173571,8205662,8205659,12173563,17294788,17293092,12171939,11360757,8248935,8248933,12218687,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,16334726,17657984,17657983,16335068,11365382,7550803,4775148,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301196,4980050,3008241,1747523,993754,887662,500855,500852,887654,887640,500881,500883,887704,1491941,844845,476826,268277,268278,476787,476789,844777,1491818,2587774,4325436,6890100,10452180,15155742,21099302,28309254,36806124,46690023,46690022,43360361,255422204,23300531,23049780,16804176,11750483,7845547,7845548,11750485,16804183,23049789,29836945,29705215,29009637,21723004,15678198,10854064,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,29012547,33432037,25662816,19043125,13593661,9307915,9307917,13593662,19043127,17863441,12650091,12650090,254874498,40444267,40431994,40431995,50469714,58189583,58189584,61206956,49728334,39709774,31032813,23551644,23551640,31032766,39709705,39709983,39709809,39709808,39709823,39709821,49728379,47447759,37539720,28994392,21709980,21709979,21747010,29039290,256043734,58872272,53532121,53532122,65556975,78891973,93001836,85161645,258084060,47494757,37590407,37590408,255859379,15697338,10866478,7184443,4526121,2720720,2720721,4526127,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023331,31751322,24239680,17864187,17864185,24239674,24229204,24229203,31738171,40432391,31750103,31749812,31749811,40444423,47464978,47464979,50482127,50482126,256551074,47464425,257099304,61973965,50481584,48539945,48539946,50480834,48427867,38520252,29955394,29955399,38520260,43293999,39357186,36765947,33030958,33030957,41974209,47482209,37576326,29029102,29029101,33862031,26040203,19361753,19361752,14351888,14351887,20035656,26920593,35002269,44380415,55230824,61999475,61999476,57703206,46353936,44381677,35003547,26921779,20036755,14352738,14352739,20036757,26921782,30560152,30560151,30717876,30717875,28730256,28730255,269322966,9078117,5937011,5937010,255649579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165804, s2 = 14218135, dlinesl.size( ) = 28 s1 = 7731532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7731532, s2 = 4685440, int(edited[s2]) = 0 s1 = 7731532, s2 = 4685440, d1 = 14, d2 = 10 Dl.O(d1) = 273961554 Dl.O(d2) = 189829992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7731532, s2 = 4685440, dlinesl.size( ) = 16 s1 = 7157521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8739449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4818406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4818406, s2 = 3631874, int(edited[s2]) = 0 s1 = 4818406, s2 = 3631874, d1 = 9, d2 = 45 Dl.O(d1) = 197518593 Dl.O(d2) = 125925740,112091551,258185658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4818406, s2 = 3631874, dlinesl.size( ) = 16 s1 = 8661693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7251746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7251746, s2 = 6775249, int(edited[s2]) = 0 s1 = 7251746, s2 = 6775249, d1 = 82, d2 = 124 Dl.O(d1) = 264567462 Dl.O(d2) = 31986517,24431576,256058541,258312193,261280519,115786131,259495229 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9589253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9589253, s2 = 15156999, int(edited[s2]) = 0 s1 = 9589253, s2 = 15156999, d1 = 17, d2 = 27 Dl.O(d1) = 5872491,5611963,5611959,6153974,3850501,2306975,2306973,3850516,5872498,4398722,4398721,3859087,2311892,2311893,3859091,6167531,6530436,9936040,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,2139879,1235653,1235650,2139871,3589228,5762514,8842186,9756358,14192374,14192373,19813557,20295714,14564376,10021922,6586795,4126702,254216321,1426840,2468581,2448091,1415443,805284,456332,456333,805286,1415447,2448102,4091810,6530350,9935921,14443415,20137381,255941562,36910156,28412803,28412801,36910153,46787793,58155345,52685128,42298430,33317782,33317781,38294266,29727305,22370582,16215862,16215860,257498755,29353349,29262950,21941448,15853080,10987342,7273080,254345225,2759458,4586711,7273082,10987348,12416775,8392428,5415882,3329363,3329362,5415881,8392423,10459957,6894762,6894763,10459960,15166978,17084702,12416556,8392281,5415795,5415793,8392273,12416546,17590783,15164234,15164235,17604738,12426477,8399213,5420049,3331884,3331885,5420050,5420072,5420071,8399244,10506005,10506004,15230051,21193564,28415398,25918973,19257131,19257132,20827943,16216724,16216725,22371580,29728321,33725601,42755034,254723948,78473791,92513434,106825029,121084700,134886609,148006868,160254990,171469468,181482588,190272526,261085640,204327884,209723056,214147532,217780504,220813286,220676788,264459270,213958890,209497509,264879305,209497509,204059929 Dl.O(d2) = 84423097,70865732,256138270,46784122,36906364,28409027,254448108,15225197,21187649,21175291,21175290,28395106,36892338,46770529,258654749,84409776,98319692,112302786,126163677,139539664,152271507,164156978,174974686,184577010,192961875,187000796,177720966,167223464,155591893,143041883,129711287,115812684,101766921,87794591,74190985,61412002,49933426,39915201,255749648,254979604,12296002,8304666,8304665,12295994,17443471,23772300,27093495,20194519,20194518,17429356,17429357,23755994,31239693,268031798,38031648,29468984,22133523,16017976,11121696,11121697,16017980,11167215,11167216,16080114,268633649,48034574,59426905,50301078,40280887,40280886,48185410,48185409,268763618,49274109,39347896,39347895,49274108,60674582,73421747,87039292,101035569,115110026,129038510,259788488,155057849,156784975,144374488,144374487,259167960,117340259,103210367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9589253, s2 = 15156999, dlinesl.size( ) = 24 s1 = 4939445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4939445, s2 = 13372766, int(edited[s2]) = 0 s1 = 4939445, s2 = 13372766, d1 = 8, d2 = 2 Dl.O(d1) = 204063923,197546747,197546748,197546756,189892930,189892929,189892931,189892932,197546746,189892925,181016284,181016283,189892922,189892938,181016293,181016290,189892934,197546742,189892920,189892922,189892938,181016293,181016291,189892936,197546765,204063939,262096366,197546735,204063912 Dl.O(d2) = 255339848,42331281,33349850,25589475,18980454,13544025,9272110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4939445, s2 = 13372766, dlinesl.size( ) = 2 s1 = 4939445, s2 = 13372766, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4939445, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 4940027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4819968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7158151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9606450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9606450, s2 = 4820416, int(edited[s2]) = 0 s1 = 9606450, s2 = 4820416, d1 = 10, d2 = 1 Dl.O(d1) = 219773827,222515894,224870727,226914907,228696169,230264221,229203295,227495085,225541281,223295488,220697430 Dl.O(d2) = 197585260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9606450, s2 = 4820416, dlinesl.size( ) = 2 s1 = 9606450, s2 = 4820416, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9606450, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 4820523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4820695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4820784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360276, s2 = 7158298, int(edited[s2]) = 0 s1 = 10360276, s2 = 7158298, d1 = 11, d2 = 11 Dl.O(d1) = 266473884,227503692,265661608,264368823,273792760,263360388,262488402,260890082,271609953 Dl.O(d2) = 266473884,227503692,265661608,264368823,273792760,263360388,262488402,260890082,271609953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360276, s2 = 7158298, dlinesl.size( ) = 2 s1 = 10360276, s2 = 7158298, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10360276, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7158305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7158305, s2 = 7224668, int(edited[s2]) = 0 s1 = 7158305, s2 = 7224668, d1 = 126, d2 = 77 Dl.O(d1) = 263360575,264369031,214002653,217659905 Dl.O(d2) = 264231113 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4941655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6956975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4023239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5052163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7158767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7158767, s2 = 13736564, int(edited[s2]) = 0 s1 = 7158767, s2 = 13736564, d1 = 25, d2 = 34 Dl.O(d1) = 263367883 Dl.O(d2) = 205648949,262988624,192078283,192078282,199429222,199429219,262037766,173767132,162767607,150673456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7158767, s2 = 13736564, dlinesl.size( ) = 20 s1 = 8597146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13776961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13973759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8740635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4824494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13729723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13729723, s2 = 11355540, int(edited[s2]) = 0 s1 = 13729723, s2 = 11355540, d1 = 174, d2 = 121 Dl.O(d1) = 172460090,161260443,161260442,172460088,182411332,191113903,273815079,274298916,265283208,274140118,209046082,209046083,264662300,202640650,195845810,195845809,202640649,203496473,263702508 Dl.O(d2) = 219611059,219611060,216340316,212396734,207575273,201729128,261690120,186666772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13729723, s2 = 11355540, dlinesl.size( ) = 116 s1 = 9693695, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7108741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4825245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360339, s2 = 9155372, int(edited[s2]) = 0 s1 = 10360339, s2 = 9155372, d1 = 14, d2 = 10 Dl.O(d1) = 256735344,256210188,27912696,27912692,36346333,257378287,40344406,31652696,31652694,27907326,27907324,36338174,45055599,45055598,44985489,35516324,27358625,20401836,14641562,10071879,10071875,10097323,10097322,10102214,14681140,10143663,255771109,35884123,45516309,56645247,69204644,82732401,271233857,110778387,114926402,100876462,86897342,73287324,60544159,49144824,39218301,39218300,49144820,41655022,39220030,30622794,30622793,39220024,49146469,51962555,48931912,39008222,30418894,23013848,16774098,11727655,11727656,16316341,16316342,22489220,29854372,38421685,254840354,47311570,47309873,37400425,28859149,22792892,16576606,11557495,11557497,16576611,21586924,28530820,37028846,46906028,58271203,48687506,48687505,41043560,257136691,41043557,36940140,268379521,21215229,28440695,36940147,46818132,51199354,41043410,41043411,36940191,28440718,21215240,15247194,10518583,6936764,4358983,4358982,6936762,10518577,15247179,21215220,28440684,36940132,46818114,258034219,259285619,112345776,126206059,139580774,262641875,164192964,175008348,184608667,192992022,200183648,206256182,206256183,211277152,215379895,218770136,221632398,265535313,226221415,228076957,229705173,229705171,229705172,231150051,230770452,229268488,227569459,227569458,225627375,223394655,220812330,217779605,214146637,209722103,204326825,273799403,197859481,204326828,209722105 Dl.O(d2) = 217779611,220501275,217416117,213717355,209210267,203718804,197145488,189444433,180538480,170406071,159072389,146708900,133462459,119598668,105368262,91150325,77234500,269492795,41905344,32966002,25244141,18674069,13282015,9066074,9066076,13282017,18674071,25244145,28729533,21472009,15469484,15469485,21472013,28729538,37261630,33305237,33305238,37651699,255929959,22687599,22599747,16416458,16416459,22599752,29964447,29964483,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809492,32444131,32444203,32870919,25163432,18605573,13223521,13223520,18605565,25163420,32870898,28636836,21396797,21396794,28636828,36778212,28282156,28282157,36778214,46663502,58036116,70750355,259274443,98198294,112160962,261074395,272823923,162622797,150499211,137464338,123736899,109545150,95290345,258725732,55426941,44579946,35201827,27111949,20210815,254981887,6559269,4109292,2458064,2458063,4109291,6559267,9979574,14502840,17587455,12414205,254854791,8390546,12414235,17587500,23929399,31419542,257074965,50119964,61599533,74375664,87977383,101949417,95222772,81166353,67700649,55360764,44514229,35137272,268640542,20158335,14461369,9949349,6539021,4096895,2450956,2450957,4096905,3631321,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360339, s2 = 9155372, dlinesl.size( ) = 2 s1 = 10360339, s2 = 9155372, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10360339, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 8805148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4945333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4825759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4825914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4825989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4826032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4826032, s2 = 5054690, int(edited[s2]) = 0 s1 = 4826032, s2 = 5054690, d1 = 0, d2 = 0 Dl.O(d1) = 160324385,171529317,181530083,190309924,197891190,204352375,209742416,214162882,217793088,220823889,218159453,214649362,210380550,264376260,198852225,191406935,182755195,172856698,161699043,272725082,122195532 Dl.O(d2) = 160324385,171529317,181530083,190309924,197891190,204352375,209742416,214162882,217793088,220823889,218159453,214649362,210380550,264376260,198852225,191406935,182755195,172856698,161699043,272725082,122195532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4826032, s2 = 5054690, dlinesl.size( ) = 2 s1 = 4826032, s2 = 5054690, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4826032, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14165630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5244437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5244437, s2 = 7820420, int(edited[s2]) = 0 s1 = 5244437, s2 = 7820420, d1 = 71, d2 = 39 Dl.O(d1) = 217804124,274052191,204368357,263201532 Dl.O(d2) = 21353864,255192930,268445814,255582514,40320132,40320133,50346301,268260664,61562477,50309593,40288120,31603665,24099935,17741291,12552981,12552982,254411692,254614704,20015460,20015461,24098374,17739570,12551721,8510329,5510456,3398601,3398600,5510454,8510324,12551715,16056976,11149316,7394919,7394920,5549180,3434644,3434646,5549183,8550903,12600427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5244437, s2 = 7820420, dlinesl.size( ) = 42 s1 = 4696201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13795085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7693380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7693380, s2 = 6852624, int(edited[s2]) = 0 s1 = 7693380, s2 = 6852624, d1 = 10, d2 = 6 Dl.O(d1) = 272829156 Dl.O(d2) = 259286468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7693380, s2 = 6852624, dlinesl.size( ) = 14 s1 = 10242029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10242029, s2 = 8812758, int(edited[s2]) = 0 s1 = 10242029, s2 = 8812758, d1 = 11, d2 = 14 Dl.O(d1) = 172413685,161205466,161205465,172413682,263397187,198572940,198572950,263397189,182371074,191078289,198572952 Dl.O(d2) = 264395049,264395047,264901307,265118998,218029549,264660822,204923988,274320598,222811385,222811384,274496032,225732147,274299318,264395051,198572964,264395053,264395045,204923972,198572990,191078316,182371089,172413699,262986475,263766519,264395061,214491961,218029570,220996318,218029561,214491955,210187882,204923998,264395059,214491957,274160349,210187865,204923985,198572968,198572969,204923987,210187862,264901309,265119001,214491955,210187882,204923998,264395059,214491957,274160349,210187865,204923985,198572968,198572969,204923986,210187863,264901311,214491934,264901309,265119001,214491955,210187882,204923998,198572981,264098841,182371070,172413687,172413688,182371073,191078288,198572949,204923968,264660817,210187860,210187861,204924003,204924004,210187889,214491931,210187854,204923977,198572962,198572961,264395047,264901307,265118998,216927379,213082114,208379863,202678202,273814406,213082111,210187854,204923977,198572962,191078294,191078295,198572963,204923978,210187856,210187903,264098853,198572995,204924022,210187900,214491966,218029565,274062027,210187883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10242029, s2 = 8812758, dlinesl.size( ) = 8 s1 = 7102870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10150814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4948464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8352861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8630800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5599152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5552064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4830227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7297536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4831232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4831232, s2 = 15167404, int(edited[s2]) = 0 s1 = 4831232, s2 = 15167404, d1 = 9, d2 = 3 Dl.O(d1) = 198839898,205147026,210370984,214640876,218151951,221097522,223616671 Dl.O(d2) = 227701476,227701478,229370163,230851899,232178325,233344258,232140876,230805821,229310393,227621495,274495255,225693870,223483582,265313997,217946809,274318771,265942837,274581433,265806127,225694749,223484710,220934219,217947907,217947908,220934221,223483506,223483507,223485064,223483724,220933197,217946925,217946923,220933191,223483720,225693987,223485068,223485069,225694606,223484535,220934010,264898469,214380652,217947700,265494181,227621929,225694923,223484942,220934445,220934444,223484941,274483764,220933236,217946965,217946966,220933240,223483768,265494167,223484533,225694604,227622027,274443751,223483549,220933026,217946777,217946776,220933023,265494119,265806087,230805820,232140874,233344257,266388305,233344262,232140882,230805836,230805835,265806117,225694519,223484396,220933854,220933853,223484394,225694517,265806115,225694558,223484469,220933930,217947625,214380602,214380603,217947629,274318823,265314017,217947331,214380373,210039904,204739479,204739478,264657245,264657247,210039905,214380376,217947337,220933636,223484166,225694359,227621863,229310644,230805948,265942859,227622095,225694682,223484635,220934128,217947818,214380762,210040206,210040207,214380764,217947820,220933962,217947656,214380625,210040096,264093037,190845909,182120585,172149121,160941470,148646983,135438127,135438128,148647023,262523101,182120657,190846023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4831232, s2 = 15167404, dlinesl.size( ) = 2 s1 = 4831232, s2 = 15167404, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4831232, Dl.E( ) = 10, 7.15e-06 seconds used appending s1 = 9668528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9668528, s2 = 7214299, int(edited[s2]) = 0 s1 = 9668528, s2 = 7214299, d1 = 50, d2 = 21 Dl.O(d1) = 263409499,263409501,273485751 Dl.O(d2) = 264108767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9668528, s2 = 7214299, dlinesl.size( ) = 40 s1 = 4831767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4832120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7297821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8711884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4834134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4834134, s2 = 5311467, int(edited[s2]) = 0 s1 = 4834134, s2 = 5311467, d1 = 1, d2 = 2 Dl.O(d1) = 199050642 Dl.O(d2) = 220207946,217049083,213246689,208600342,202947102,196202236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4834134, s2 = 5311467, dlinesl.size( ) = 2 s1 = 4834134, s2 = 5311467, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4834134, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7716501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4953424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7215917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7215917, s2 = 4231925, int(edited[s2]) = 0 s1 = 7215917, s2 = 4231925, d1 = 16, d2 = 3 Dl.O(d1) = 264129950 Dl.O(d2) = 162092244,149879601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7215917, s2 = 4231925, dlinesl.size( ) = 20 s1 = 8783003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15168905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8501441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8501441, s2 = 7252182, int(edited[s2]) = 0 s1 = 8501441, s2 = 7252182, d1 = 28, d2 = 32 Dl.O(d1) = 255325860,38780902,48703395,49246777,255741050,30721766,34088617,26227453,26227454,25368566,18784716,16590781,11570498,11570406,11570371,7701474,4874217,2937099,2937098,4874224,7701487,8004033,9166092,5999343,5999345,4654748,2804190,1626779,1626778,2804188,4654738,267972887,16002218,22114766,23306218,23306219,268414530,257563680 Dl.O(d2) = 264572236,262827056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165810, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4955054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4955054, s2 = 3343978, int(edited[s2]) = 0 s1 = 4955054, s2 = 3343978, d1 = 21, d2 = 6 Dl.O(d1) = 205373208 Dl.O(d2) = 108721683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4955054, s2 = 3343978, dlinesl.size( ) = 16 s1 = 7714288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8665783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8793311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8793311, s2 = 4836847, int(edited[s2]) = 0 s1 = 8793311, s2 = 4836847, d1 = 111, d2 = 73 Dl.O(d1) = 219702346,219702345,264553656 Dl.O(d2) = 199143644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8695802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238742, s2 = 9666519, int(edited[s2]) = 0 s1 = 7238742, s2 = 9666519, d1 = 17, d2 = 41 Dl.O(d1) = 264417416 Dl.O(d2) = 72800370,60061644,48664763,256435537,22771824,16557533,11541062,7678122,7678121,269101788,22771806,16557534,254793725,4858372,2927801,267832761,7678119,11541059,16557527,22771812,30160174,38743000,48664750,60061635,54697875,43953989,34679221,26685399,19866769,19866768,256204865,43953985,269615557,48664738,48664737,60061619,60061625,48664742,48664743,269615555,54697868,48664740,48664741,60061623,60061632,48664748,38742997,30160171,30160172,268958135,60061634,72800350,86396441,94444921,259786849,81107170,257909570,55302712,67641086,81107168,95165865,109422396,123616597,272461433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238742, s2 = 9666519, dlinesl.size( ) = 2 s1 = 7238742, s2 = 9666519, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7238742, Dl.E( ) = 42, 3.1e-05 seconds used appending s1 = 8601795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9578685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7162035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7162035, s2 = 11192628, int(edited[s2]) = 0 s1 = 7162035, s2 = 11192628, d1 = 29, d2 = 46 Dl.O(d1) = 263430669 Dl.O(d2) = 146115004,259573392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7162035, s2 = 11192628, dlinesl.size( ) = 12 s1 = 4838145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4838145, s2 = 5230748, int(edited[s2]) = 0 s1 = 4838145, s2 = 5230748, d1 = 13, d2 = 3 Dl.O(d1) = 199247062,205484842,210645348 Dl.O(d2) = 217255191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4838145, s2 = 5230748, dlinesl.size( ) = 2 s1 = 4838145, s2 = 5230748, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4838145, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 6985573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4958795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8760282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4712462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8566172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8566172, s2 = 7858108, int(edited[s2]) = 0 s1 = 8566172, s2 = 7858108, d1 = 100, d2 = 123 Dl.O(d1) = 262583463,262091752 Dl.O(d2) = 35398408,257334179,257934576,35398412,27271989,20336264,254987746,4134573,2473293,2473294,254476817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8566172, s2 = 7858108, dlinesl.size( ) = 48 s1 = 7700330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9261022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7163140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7163140, s2 = 13896110, int(edited[s2]) = 0 s1 = 7163140, s2 = 13896110, d1 = 8, d2 = 23 Dl.O(d1) = 263442217 Dl.O(d2) = 233482728,234562995,234563013,234563001,234563000,235546448,234562998,233482729,232293378,230976234,229506901,229506900,266044570,265958205,232293383,266302087,232293373,232293374,233482719,233482726,233482725,234562991,274716213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7163140, s2 = 13896110, dlinesl.size( ) = 2 s1 = 7163140, s2 = 13896110, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7163140, Dl.E( ) = 24, 1.62e-05 seconds used appending s1 = 4571942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4571942, s2 = 10199485, int(edited[s2]) = 0 s1 = 4571942, s2 = 10199485, d1 = 78, d2 = 87 Dl.O(d1) = 183458871,192013318,199372317,205598379 Dl.O(d2) = 76443300,89756817,89756814,75978045,75978046,89756816,103860392,118004884,118004885,131832117,145091002,157525542,157525540,157525539,157525538,168988826,179275078,188325904,196208811,202953170,208606055,208606056,213251847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4571942, s2 = 10199485, dlinesl.size( ) = 2 s1 = 4571942, s2 = 10199485, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4571942, Dl.E( ) = 108, 3.6e-05 seconds used appending s1 = 7163337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7163337, s2 = 11806783, int(edited[s2]) = 0 s1 = 7163337, s2 = 11806783, d1 = 10, d2 = 25 Dl.O(d1) = 263444549 Dl.O(d2) = 25657213,19038554,13590201,9305407,6095443,6095444,9305412,13590206,13590207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7163337, s2 = 11806783, dlinesl.size( ) = 2 s1 = 7163337, s2 = 11806783, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7163337, Dl.E( ) = 30, 1.31e-05 seconds used appending s1 = 7707774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7707774, s2 = 8898845, int(edited[s2]) = 0 s1 = 7707774, s2 = 8898845, d1 = 11, d2 = 17 Dl.O(d1) = 273299033,272972264 Dl.O(d2) = 263321608,274373200,233492622,265920320,274742715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7707774, s2 = 8898845, dlinesl.size( ) = 6 s1 = 4962268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8677223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8677223, s2 = 14730209, int(edited[s2]) = 0 s1 = 8677223, s2 = 14730209, d1 = 10, d2 = 10 Dl.O(d1) = 103492693,100107470,271345221,262256631,176496864,273723731,263913585,264513721,274196369,274516126,231443025,274634423,274623053,274409730,205627044,264693524,206910814,263445550 Dl.O(d2) = 103492693,100107470,271345221,262256631,176496864,273723731,263913585,264513721,274196369,274516126,231443025,274634423,274623053,274409730,205627044,264693524,206910814,263445550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8677223, s2 = 14730209, dlinesl.size( ) = 2 s1 = 8677223, s2 = 14730209, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8677223, Dl.E( ) = 12, 2.86e-06 seconds used appending s1 = 13541493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7261145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7261145, s2 = 3848408, int(edited[s2]) = 0 s1 = 7261145, s2 = 3848408, d1 = 31, d2 = 12 Dl.O(d1) = 264694725 Dl.O(d2) = 137661894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7261145, s2 = 3848408, dlinesl.size( ) = 2 s1 = 7261145, s2 = 3848408, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7261145, Dl.E( ) = 42, 1.31e-05 seconds used appending s1 = 7163881, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8718962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8788920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9550079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9717744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9717744, s2 = 2734980, int(edited[s2]) = 0 s1 = 9717744, s2 = 2734980, d1 = 67, d2 = 59 Dl.O(d1) = 273634293,264066141,209514859,274147473 Dl.O(d2) = 258004074,78693940,257646350,61977325,258004074,78693940,65389135,53385352,53385353,61460100,259501907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9717744, s2 = 2734980, dlinesl.size( ) = 60 s1 = 9705029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7164194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7164194, s2 = 7628648, int(edited[s2]) = 0 s1 = 7164194, s2 = 7628648, d1 = 72, d2 = 63 Dl.O(d1) = 263459311,199659212,205831730,264701031,215107696,215211301,263632460 Dl.O(d2) = 269979373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7164194, s2 = 7628648, dlinesl.size( ) = 2 s1 = 7164194, s2 = 7628648, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7164194, Dl.E( ) = 74, 2.5e-05 seconds used appending s1 = 7056432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4965372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4423033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2786520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16190145, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7164512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7164512, s2 = 10205427, int(edited[s2]) = 0 s1 = 7164512, s2 = 10205427, d1 = 27, d2 = 40 Dl.O(d1) = 263462729 Dl.O(d2) = 155606600,143057178,129726535,115827368,101781201,87808776,271800730,5358353,3293802,1937185,1937186,3293806,5358365,8304805,12296252,17443851,23756439,17429664,17429665,23756441,31240250,37395050,33965073,33965072,39932267,46931498,256062332,256711214,48747108,38827147,268415641,4886050,2944206,2944207,4886033,7719555,11596627,16625257,22849695,30243703,24002897,17657930,17657929,24002895,256534303,269311934,37773421,47007809,37121384,28610922,21375695,15394346,10639270,10639274,15394353,268612455,268914865,23431515,255150627,8107556,5194426,5194427,3171634,1856629,1856628,3171631,5198580,5199661,3172202,1856926,1059717,1059718,1856932,3172213,5199682,7067629,10697865,9267157,6070005,3797863,3797864,6060734,3792086,2271539,2271537,3792076,6060711,9254010,10571925,6973150,6973148,10571915,13506744,10558110,10558111,255820759,6113986,6113987,5669774,5669773,8709333,12809094,18067250,24491922,256155200,36654650,28178741,28178742,28178757,20996834,20996837,28178789,25007688,255260212,8948329,5840793,3644931,2178820,2178819,3644930,5840792,8948328,13129405,12884108,8762786,8762787,12884110,12812841,12812839,8718553,5675050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7164512, s2 = 10205427, dlinesl.size( ) = 44 s1 = 8568481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7176568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7241141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7241141, s2 = 9740436, int(edited[s2]) = 0 s1 = 7241141, s2 = 9740436, d1 = 0, d2 = 0 Dl.O(d1) = 264446545,264446547,215195863,218620391,221502481,223972775,265686263,229612440,229612449,265832709,227975661 Dl.O(d2) = 264446545,264446547,215195863,218620391,221502481,223972775,265686263,229612440,229612449,265832709,227975661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7241141, s2 = 9740436, dlinesl.size( ) = 2 s1 = 7241141, s2 = 9740436, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7241141, Dl.E( ) = 2, 2e-05 seconds used appending s1 = 10348829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4968936, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4851285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8802994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8605711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4851536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4851536, s2 = 7262486, int(edited[s2]) = 0 s1 = 4851536, s2 = 7262486, d1 = 27, d2 = 52 Dl.O(d1) = 199839538 Dl.O(d2) = 264710301,262800813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9703272, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4969684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8745883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8097542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4853036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7261763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4971654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4971654, s2 = 848693, int(edited[s2]) = 0 s1 = 4971654, s2 = 848693, d1 = 39, d2 = 7 Dl.O(d1) = 206184492 Dl.O(d2) = 21830227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4971654, s2 = 848693, dlinesl.size( ) = 26 s1 = 15748129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15748129, s2 = 4972004, int(edited[s2]) = 0 s1 = 15748129, s2 = 4972004, d1 = 0, d2 = 0 Dl.O(d1) = 254492123,6872147,6872146,10423369,10424496,6899410,6899409,10466793,10420129,6869342,4339236,2597753,2597755,4339243,4312150,2578595,2578593,4312144,6870213,6872841,4314256,4314257,6872846,10421084,10421001,6870323,6870321,4313612,2579677,1485989,840607,473991,266408,147510,81103,81104,147514,266419,474010,840653,1486077,254489979,6900116,10467547,15177336,21126028,28338295,257416947,46717749,58089495,70806370,84365063,98273661,112253322,126109266,139480980,152210532,164098708,174923643,184534839,192928072,200127195,206206202,211232509,215339189,218732384,265356431,274457049,265837595,231124640,232421445,233593949,234660659,234503801,266191045 Dl.O(d2) = 254492123,6872147,6872146,10423369,10424496,6899410,6899409,10466793,10420129,6869342,4339236,2597753,2597755,4339243,4312150,2578595,2578593,4312144,6870213,6872841,4314256,4314257,6872846,10421084,10421001,6870323,6870321,4313612,2579677,1485989,840607,473991,266408,147510,81103,81104,147514,266419,474010,840653,1486077,254489979,6900116,10467547,15177336,21126028,28338295,257416947,46717749,58089495,70806370,84365063,98273661,112253322,126109266,139480980,152210532,164098708,174923643,184534839,192928072,200127195,206206202,211232509,215339189,218732384,265356431,274457049,265837595,231124640,232421445,233593949,234660659,234503801,266191045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15748129, s2 = 4972004, dlinesl.size( ) = 2 s1 = 15748129, s2 = 4972004, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 15748129, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8830020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8830020, s2 = 13997880, int(edited[s2]) = 0 s1 = 8830020, s2 = 13997880, d1 = 89, d2 = 104 Dl.O(d1) = 223018294 Dl.O(d2) = 257377766,109136390,255779048,67337531,67337532,55100270,55100269,44262619,44262618,55100297,61051514,73824426,61087809,61026645,49583574,39608438,39608439,49583578,61026655,73798114,66999919,66999918,79951996,79951993,90792130,79665748,66274320,66274319,79665746,67006304,54739748,43988105,34706937,26708644,19885486,19885490,26708659,34706960,43983890,54732973,66601138,66601142,73727646,60964932,55191343,55191342,67427931,55093294,44256838,37170260,37170259,47062053,42321420,33340659,26814584,26814451,19952270,19952268,26814491,34869479,34929997,44299247,55143081,67483479,80952550,70157014,61054468,49605627,43496662,43496665,54069341,54298592,54217061,44005353,44000346,34713715,34713678,34713683,26712119,26712116,31014985,39689159,49704048,60895911,60895913,73649155,73692272,67223634,54900021,257346562,73692891,67276284,67276285,63188766,63188767,63882718,63882716,76199601,76199599,83742625,73646747,73646749,87267262,79905388,66501422,54318447,43662313,43662314,54318456,66501437,66122003,54020928,54020931,66121980,54020913,50940702,50940703,62545509,55172547,55172549,54294329,54294331,61021935,61021933,51358499,44093199,34769506,34769511,26816628,19953508,19953513,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423384,2423381,4046825,2423048,2423042,4046797,6456221,9827706,14306538,19981171,26855473,34925261,44293636,55136924,67476735,68445903,55993044,51843350,41558042,35475847,27330647,20382211,14628205,14628208,14628381,10063591,10063594,14628421,20382701,27331742,34867154,34867320,26812772,26812773,19951139,18470653,13126862,8946627,8946624,5839900,5839899,8946647,12808574,18066486,24490758,32057756,40819216,50939483,62543648,75466789,89219470,83981402,70453501,57758415,46407623,36546074,36546073,46407622,49121109,39193287,30596131,28780553,21517482,15506645,15506646,15506649,255841523,28780554,37316244,47225052,58618346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8830020, s2 = 13997880, dlinesl.size( ) = 42 s1 = 7166314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7166314, s2 = 5264790, int(edited[s2]) = 0 s1 = 7166314, s2 = 5264790, d1 = 170, d2 = 146 Dl.O(d1) = 263482723 Dl.O(d2) = 218746026 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9602698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9602698, s2 = 7180933, int(edited[s2]) = 0 s1 = 9602698, s2 = 7180933, d1 = 0, d2 = 0 Dl.O(d1) = 235343,416388,731202,254202251,3675258,5886341,9015912,9015910,5886340,254908493,18606544,25164518,32872173,41793359,257766261,259007637,105101488,98363025,84453650,70897292,58184002,46817498,36939442,28439976,28439977,36939443,46817499,58184004,269814172,70897293,84453653,85035811,71463925,58734203,256626056,37439310,28898949,21623764,15593233,15593234,17980268,18685567,18685568,25256615,254641962,52257772,255649096,91171762,105393705,119630001,113739719,99725463,85771543,72177142,59438594,53124104,258203960,48949989,39027508,36911846,28414252,28414251,255981964,39027518,33422518,30437969,30437968,32604718,29169346,29169347,37729637,38237763,48147297,268305298,37446437,30438036,23031328,23031329,29654366,22302703,16157036,16157035,22222684,16089886,16089887,16157171,11225474,11225472,16157166,22302851,29654516,38220501,48130516,59517783,72251779,259377837,113809831,127677790,141025876,153691890,165470845,176149549,185611067,193867575,200945883,206916924,211849376,215878900,219211486,265358323,218753370,215362595,211259076,206236696,200163002,263655266,174982464,164165155,152280340,139549137,126173662,112312914,98329814,84420438,70863128,70863127,58149011,46781463,36903703,28406358,21185178,21185181,24073802,24073801,28590717,28590716,37097334,39844754,37097440,28590827,28590826,22361910,16208798,16208799,18879819,18879820,25482211,22361103,16208151,16208152,20265447,20265449,18881650,18881649,16209094,11267644,11267645,9921868,9921869,14423415,18678756,13285963,9069150,9069149,13285953,14928893,20827335,15144356,10444816,10444821,15144367,15381399,10629366,10629370,15381410,21083795,21083793,25481370,18883248,13456614,254808932,13457777,255129230,255957676,33232336,29718335,29718336,38284940,31380165,31380164,40062985,50084443,61564568,74341868,87944359,259062850,129857960,143186730,155739082,167372402,177868210,262953428,202109878,207909140,212688198,216594898,219833771,222567533,224915497,226954955,228733401,230299207,231691630,266063084,235107266,234660284,233593565,265571766,229677509,228047258 Dl.O(d2) = 235343,416388,731202,254202251,3675258,5886341,9015912,9015910,5886340,254908493,18606544,25164518,32872173,41793359,257766261,259007637,105101488,98363025,84453650,70897292,58184002,46817498,36939442,28439976,28439977,36939443,46817499,58184004,269814172,70897293,84453653,85035811,71463925,58734203,256626056,37439310,28898949,21623764,15593233,15593234,17980268,18685567,18685568,25256615,254641962,52257772,255649096,91171762,105393705,119630001,113739719,99725463,85771543,72177142,59438594,53124104,258203960,48949989,39027508,36911846,28414252,28414251,255981964,39027518,33422518,30437969,30437968,32604718,29169346,29169347,37729637,38237763,48147297,268305298,37446437,30438036,23031328,23031329,29654366,22302703,16157036,16157035,22222684,16089886,16089887,16157171,11225474,11225472,16157166,22302851,29654516,38220501,48130516,59517783,72251779,259377837,113809831,127677790,141025876,153691890,165470845,176149549,185611067,193867575,200945883,206916924,211849376,215878900,219211486,265358323,218753370,215362595,211259076,206236696,200163002,263655266,174982464,164165155,152280340,139549137,126173662,112312914,98329814,84420438,70863128,70863127,58149011,46781463,36903703,28406358,21185178,21185181,24073802,24073801,28590717,28590716,37097334,39844754,37097440,28590827,28590826,22361910,16208798,16208799,18879819,18879820,25482211,22361103,16208151,16208152,20265447,20265449,18881650,18881649,16209094,11267644,11267645,9921868,9921869,14423415,18678756,13285963,9069150,9069149,13285953,14928893,20827335,15144356,10444816,10444821,15144367,15381399,10629366,10629370,15381410,21083795,21083793,25481370,18883248,13456614,254808932,13457777,255129230,255957676,33232336,29718335,29718336,38284940,31380165,31380164,40062985,50084443,61564568,74341868,87944359,259062850,129857960,143186730,155739082,167372402,177868210,262953428,202109878,207909140,212688198,216594898,219833771,222567533,224915497,226954955,228733401,230299207,231691630,266063084,235107266,234660284,233593565,265571766,229677509,228047258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9602698, s2 = 7180933, dlinesl.size( ) = 2 s1 = 9602698, s2 = 7180933, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9602698, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 10268454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7166463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7166492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7166492, s2 = 11524466, int(edited[s2]) = 0 s1 = 7166492, s2 = 11524466, d1 = 33, d2 = 79 Dl.O(d1) = 263484081 Dl.O(d2) = 231110856,232409168,233583112,234651219,266131050,235625677,234651216,265581088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7166492, s2 = 11524466, dlinesl.size( ) = 76 s1 = 7073953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4857025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4857025, s2 = 6752826, int(edited[s2]) = 0 s1 = 4857025, s2 = 6752826, d1 = 145, d2 = 146 Dl.O(d1) = 200186182,206258188,211278684,264278306 Dl.O(d2) = 268446668,21842978,29151195,37711397,47633617,258091027,85368178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4974571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9717363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7250878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7250878, s2 = 15460961, int(edited[s2]) = 0 s1 = 7250878, s2 = 15460961, d1 = 14, d2 = 17 Dl.O(d1) = 130267094,143594928,156129850,262836381,263644993,202306058,208077137,212835760,216726239,219950955,222672094,222672095,225008324,226237384,265427232,218788439,215400107,264557940,200210377,193021759 Dl.O(d2) = 28484534,21268045,15306635,255166638,18959803,13523810,9255135,9255134,13523808,15263446,10531302,6945349,6945350,6060557,6060555,6964176,6964175,10559075,12255191,8276599,5340281,3282452,3282450,5340269,8276574,10565939,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052875,9241898,9242337,10548800,13514520,12053979,12053980,15258048,10526768,8103403,6053674,6053675,5403440,3322130,1954037,1954036,1316245,751095,426790,426788,751089,1316233,2269250,254926389,18944160,19433589,26128447,28540027,37038680,46916383,58281857,50087040,40065523,31382769,23885989,17539491,12371068,8359439,8359440,254282784,8384621,5410689,5410688,8384619,12383241,8367872,8367871,9235894,12386497,8370125,8370126,5402022,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679861,7787349,4937090,4859536,4859539,7679750,8375835,5405550,5405552,8375846,5409047,3325287,1955768,1955766,3325277,5409025,8381699,12402255,13515637,13515643,13515647,16194221,16194223,17402776,17402774,17400760,17400759,17404050,13544764,13544766,18757898,18757899,18954542,13517945,9250100,9250101,13517952,10556842,6962745,4374497,4374498,6962748,10556850,15291885,21256327,23159324,16898062,12391455,12391456,13503517,13503518,18939376,23725710,24218822,17848499,13503511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7250878, s2 = 15460961, dlinesl.size( ) = 2 s1 = 7250878, s2 = 15460961, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7250878, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 14165372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8716916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7242793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7242793, s2 = 12513474, int(edited[s2]) = 0 s1 = 7242793, s2 = 12513474, d1 = 9, d2 = 3 Dl.O(d1) = 264463999,200247675,193068655,263491871,175121677,164323111,152450099,272834406,126349251,112481735,98489992,84566939,71003035,58288089,58288090,58398289,47026383,37138210,37138209,47026380,47026408,37138239,28625377,21387619 Dl.O(d2) = 254501418,15403780,15419554,21407588,254734582,47058315,255836240,84724126,91336977,91336976,105555201,105555212,98606226,98606227,105555214,105555213,112547398,112547397,119788909,259921269,98606223,112601617,126470654,139842329,152556183,164415377,157517261,145082508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7242793, s2 = 12513474, dlinesl.size( ) = 2 s1 = 7242793, s2 = 12513474, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7242793, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7167158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8747062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4859691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4859691, s2 = 7341698, int(edited[s2]) = 0 s1 = 4859691, s2 = 7341698, d1 = 6, d2 = 8 Dl.O(d1) = 200259034,206320880,211333212,215429432,218814604,221673615,224128920,226258689,228112727,229739575,231183167,231183171,232477912,265455272,228112740,228112739,229739591,229739607,228112748,226258703,226258702,228112723,228112722,229739568,231183164,229739605,229739604,231183192,232477923,232477922,265455272,228112740,264846028,224128926,226258698,265271322,229739573,231183165,231183176,232477915,233648693,233648700,265914150,232477919,232477920,232477917,231183177,229739587,229739586,231183176,232477915,233648693,232477927,231183189,229739600,228112745,228112723,228112722,229739568,229739589,228112736,226258694,265069438,229739585,265774562,231183192,231183181,229739594,229739595,231183183,231183191,229739603,228112746,228112723,228112722,229739568,229739589,229739572,229739571,228112728,228112727,229739575,231183167,231183171,232477912,265455272,228112740,228112739,229739591,229739607,265455276,229739596,228112742,226258699,226258700,228112743,265455274,231183168 Dl.O(d2) = 265455272,228112740,228112739,229739591,229739607,228112748,226258703,226258702,228112723,228112722,229739568,229739589,229739572,228112725,228112724,229739569,228112730,226258690,226258692,226258696,226258695,228112737,265622166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4859691, s2 = 7341698, dlinesl.size( ) = 2 s1 = 4859691, s2 = 7341698, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4859691, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7218489, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9471339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7701599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7167348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8444407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8444407, s2 = 8990035, int(edited[s2]) = 0 s1 = 8444407, s2 = 8990035, d1 = 45, d2 = 69 Dl.O(d1) = 259298947,112555252,263494883 Dl.O(d2) = 244237871,244452186,267363269,267401190,245013392,245178283,245332848,245178269,245178268,267401186,244837730,244651668,267320666,244006359,244006358,244237818,244452130,244651666,267401201,245332820,267480037,245861646,275019136,245478459,245332853,245178273,267382858,244651732,244452201,267297514,244006424,244237886,244452204,244651735,244837805,245013385,245013402,245013401,245178294,245332863,245178290,245178231,245013324,245013326,245013347,244837743,244651682,244452144,244452143,244651678,244452241,244452242,244452221,244452223,244651763,244837821,244837723,244837722,245013319,267401184,244651657,244452120,244237809,244006346,267297523,267363263,245013318,267418785,245478438,245478465,245332859,274999975,244651768,244651769,244837824,245013394,245178286,245332861,267451051,267493173,245861644,245742495,245615218,267435294,245013356,244837755,244651691,267363254,244452162,244452163,244651696,244452221,244452223,244651660,244452124,244237812,244006351,243757511,243488777,243488778,243488803,243757561,244006414,244237870,244006418,244006419,244237876,244452194,244651726,267342724,244452108,244651648,244651745,244452212,274994440,244837748,244651686,244651685,244452160,244452161,244452165,244237846,244006383,243757535,243757536,244006385,243757552,243488798,243488797,274959943,244237857,244452175,267320664,244006393,243757545,267217432,243199945,243488791,243757538,244006386,267320668,244006389,243757540,243757539,267272335,267320678,244006445,243757591,243488821,267186878,242561321,242891968,267245527,243757565,243757564,244006419,244237875,267342737,244837791,267382856,244651710,244651711,244837778,245013367,245013366,267418789,245478454,275010018,267418772,245013335,267363250,244452138,267401203,245332826,245332772,245332770,267435293,267465975,267493171,275034361,246362533,246273518,246178452,275023378,245615224,245478461,245332856,245178281,245013391,244837813,244651743,267320674,267320685,244452139,244452140,244651676,244837737,245013341,267418787,245332868,274999972,244837838,244837840,245013347,244837743,244651682,244452144,244452143,244651678,244452241,244452240,244651748,244452213,244237897,244006436,243757581,243488814,243199956,242891965,242561320,242206374,241822431,241406619,241406620,241822434,242206379,242561325,242891978,243199935,243488771,243757506,243757607,243757567,243488806,243488807,243757568,244006424,244237886,244452204,244651735,244837805,245013385,245013402,245013401,245178294,245332863,245178290,245178231,245013324,245013326,245013347,244837743,244651682,244452144,244452143,244651678,244452241,244452240,244651748,244452213,244237897,244006436,243757581,243488814,243199956,242891965,242891962,267217437,243757571,244006426,244237889,244452208,267363273,244651704,244452173,244237856,244006400,243757549,243488795,243199947,242891956,274942813,243757547,244006398,267320670,244237824,244006405,243757555,243488799,243199949,243199950,243488802,243757557,244006408,244237865,244452183,244651717,244837784,245013314,245013316,245178225,245332817,245478436,267418780,267418795,275010020,245178262,245178261,267418774,245178243,245332832,245478443,245478471,267435304,245013254,244837627,275005070,245478407,245615199,245615228,267435298,245178291,245013397,267363258,244651773,267342730,244452176,267363267,245013363,245013374,245013373,267382854,244651687,274994436,244837745,244651683,244651684,267382865,267435303,245615217,245742493,245742498,267451044,275005066,244651755,267320676,244237860,244237822,244006361,243757518,243757519,244006362,274994438,244452198,244452199,244651731,244837796,267401207,245332850,245478457,267435296,274982184,244006411,244006396,244006398,267320670,244237824,244006405,243757555,243488799,243199949,243199950,243488802,243757557,244006408,244237865,244452181,267342728,267320672,267320683,244651707,244837772,267401192,244837734,244651675,244452139,244237827,244006365,244006366,244237829,244452146,244651685,244452160,244452161,244452165,244237846,244006383,243757535,243757536,244006385,243757552,243488798,243199949,242891959,267217435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8444407, s2 = 8990035, dlinesl.size( ) = 38 s1 = 4439740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4439740, s2 = 8483034, int(edited[s2]) = 0 s1 = 4439740, s2 = 8483034, d1 = 1, d2 = 19 Dl.O(d1) = 175169111,176538564,165884815,154118499,154118500,260399698,258529876,126424977,126424974,139798192,152515503,152515515,139798181,139798178,152515508,260991434 Dl.O(d2) = 200279119,260991452,184743844,261554464,184743830,259786688,139798210,152515552,164379622,164379581,164379580,165884810,154118496,154118497,258529876,126424977,126424974,139798192,152515503,152515515,139798181,139798178,152515510,164379565,175169084,184743773,175169065,260991444,175169135,271658428,184743832,184743831,184743836,184743837,193104429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 9731752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7243091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7243091, s2 = 4733375, int(edited[s2]) = 0 s1 = 7243091, s2 = 4733375, d1 = 11, d2 = 0 Dl.O(d1) = 264466611 Dl.O(d2) = 193115682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7243091, s2 = 4733375, dlinesl.size( ) = 8 s1 = 4861181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7167626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7167626, s2 = 6297442, int(edited[s2]) = 0 s1 = 7167626, s2 = 6297442, d1 = 25, d2 = 22 Dl.O(d1) = 263497073 Dl.O(d2) = 245743232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7167626, s2 = 6297442, dlinesl.size( ) = 20 s1 = 7243246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7243246, s2 = 5788987, int(edited[s2]) = 0 s1 = 7243246, s2 = 5788987, d1 = 60, d2 = 48 Dl.O(d1) = 264468206 Dl.O(d2) = 234350168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7243246, s2 = 5788987, dlinesl.size( ) = 30 s1 = 8747520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4943207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7373747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7373747, s2 = 15290470, int(edited[s2]) = 0 s1 = 7373747, s2 = 15290470, d1 = 12, d2 = 14 Dl.O(d1) = 265979468,264470418 Dl.O(d2) = 112697943,112697942,261107291,112697939,98702067,84773517,269782115,47104147,58437635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7373747, s2 = 15290470, dlinesl.size( ) = 30 s1 = 4863204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7298438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7298438, s2 = 8719600, int(edited[s2]) = 0 s1 = 7298438, s2 = 8719600, d1 = 109, d2 = 103 Dl.O(d1) = 265134910,218317830,215504024,211412780,206407602,263794902,264680826,273958346,215504039,215504042,218884589,218884590,221738572,224187521,223735657,221235878,273958344,210628588,205465770,199224828,191848316,183272078 Dl.O(d2) = 221738588,224187527,224187525,221738579,218884597,218884596,221738577,224187522,221738575,221738570,221738569,265134906,221235879,221738584,218884601,215504034,215504035,211412790,206407611,206407610,264124010,215504023,264417512,215504041,218884608,218884602,218884603,221738587,221738584,218884601,215504034,215504035,211412790,206407611,206407610,211412788,215504043,215504027,263794900,206407589,211412769,214846458,214846457,218317830,215504024,211412780,264124004,210628586,263794904,200355962,206407607,264124008,218317841,274071450,211412765,206407587,206407588,206407600,264124000,264124002,215504025,215504023,264417512,215504041,218884608,218884602,218884603,221738587,221738584,218884601,215504034,215504035,211412783,206407605,206407606,211412786,264123992,264123994,206407610,211412788,264417524,215504024,211412766,211412768,215504023,264417512,215504041,218884608,218884602,218884603,221738587,221738584,218884601,215504034,215504035,211412790,206407611,200355963,264730935,264417508,200355950,273674712,215504018,264123988,263428300,263428302,211412768,215504023,264417512,215504041,218884608,218884602,218884603,221738587,221738584,218884601,215504034,211412775,206407594,264123990,264680824,215504018,264417514,263428300,263428302,211412768,273674716,271655930,258521614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7168047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7168047, s2 = 14733316, int(edited[s2]) = 0 s1 = 7168047, s2 = 14733316, d1 = 7, d2 = 7 Dl.O(d1) = 263502083,264183439,211415387,207284391,273999549 Dl.O(d2) = 263502083,264183439,211415387,207284391,273999549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7168047, s2 = 14733316, dlinesl.size( ) = 2 s1 = 7168047, s2 = 14733316, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7168047, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 9544583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9544583, s2 = 8137206, int(edited[s2]) = 0 s1 = 9544583, s2 = 8137206, d1 = 60, d2 = 58 Dl.O(d1) = 261230722,98793158 Dl.O(d2) = 117189525,103075494,89010669,89010668,103075491,260773947,117189501,259561763,270955571,117189500,117189504,257799520,15488631,10710630,10710629,12370053,10468345,10468347,10017011,6584299,6584296,10017377,254175770,6583957,4125194,4125195,6583959,10017127,10017020,10017021,7505161,4744067,4744066,7505156,11304385,16259397,22425783,18935447,14556983,14556984,17279639,12159094,8189693,8189692,12159091,13511894,9245339,8377999,5406823,3323924,3323923,5406822,8377996,12397039,254447948,254852447,5409897,5409896,8280539,5342543,5342544,8280573,8369516,12377374,8382005,8382003,5411724,5411726,8386415,12408539,12265437,8283003,5343774,5343775,8283009,8359741,5395817,5395801,3317978,3317979,5395803,8359720,12371513,17540088,17540008,17540009,15059210,15059212,12403083,12403082,17399981,21047510,23924080,31413588,30865498,23436433,17161445,17161444,12246749,12246748,255025642,41084219,268330502,32276944,41084223,51260743,53835491,49978182,39961523,31286381,23799987,17467284,254847825,5367653,3299959,254269617,1108732,622245,345812,189655,189656,344954,343880,343883,618807,1101897,1101918,618444,618443,1101907,1928630,1928200,1928201,1929761,1105347,620208,344641,344640,620205,1105337,1108442,1108439,1940502,3299334,5366754,254847687,5366527,3299179,254185055,267746125,254105737,1101293,1101294,1927473,1940606,3299486,3274134,1938927,1107528,1107530,1938933,3273678,3273675,254841455,17357866,12243755,8268918,8268917,8256271,5326301,3273842,3273843,1928678,1928677,254398727,8267288,12241862,17373774,17435103,17435104,23762665,31188154,256509192,12244619,8269816,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365287,3435672,2032327,2032326,3435663,5550655,5347621,5347624,8289421,8560068,8534524,7457563,7457565,7452336,4708542,4708546,7452350,8550111,11230592,7452203,4708466,2836450,1645470,935676,527324,527322,935669,1645455,2836422,4708407,7452099,11230566,12274829,15553382,10757389,10757391,8288237,5346774,4713090,2839322,2839321,4713087,7458683,11237856,12545661,8504848,5505331,5505330,8504846,12545660,17732331,24064499,23739337,17414754,12273562,12273561,13440221,13440222,16612984,16612983,12603212,12603211,12590346,12590345,12677802,17788517,16164931,11232518,11232517,16165196,16887743,11816615,11816614,9655713,6349171,6349173,8518298,5516535,5516538,8518307,12563171,12571704,8525858,8525856,7452694,4708738,4708736,7452690,8569492,9191713,8582019,5576200,5553730,3438085,2033968,2033969,3394452,5505751,5508454,5553572,3437994,2033916,1164941,1164940,2033910,3437979,254612621,5490580,5490581,254865299,7451875,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,2061171,2061173,3474348,3474345,5597881,8612522,11235649,7456701,7456700,5505645,5505644,5334341,3279018,3279019,2000637,1143535,1143534,2000633,3394399,2036287,2036289,3440898,5556428,5524018,3410587,2012538,2012539,3410591,5524025,5548185,3475489,3475490,5572932,3457055,3457056,5572936,5533924,3419417,3419416,3761523,5598998,8613706,8492921,8492919,8492564,5493255,3383503,1992666,1138732,1138734,1164481,1182116,2059916,3472603,5552069,7215541,7215542,8488757,5489752,3432533,3432535,3415360,3415361,5529419,3415388,2016091,2016090,3415384,3764309,2255374,2255373,3764306,6017436,9191892,8484034,8484033,12522287,12578207,12532354,8493817,5494868,3384936,1993647,1993644,254411021,5494472,3429902,2027833,1160991,1160990,2027831,3429897,5544195,8524519,8506572,8506573,8493950,5495057,5495056,8493948,5498547,5496581,5496583,3409134,3385598,1994163,1994162,3385595,5495564,3446607,2040775,1993460,1139190,1139189,1993456,1993451,1993452,3384657,5494534,7899214,5020334,5020335,7899216,7894648,5015430,3432485,2029885,1162381,1162379,2029881,268261772,2005462,1153960,1152601,1152602,2008139,3031851,2008368,2008370,3405186,3444851,2060403,1182405,664144,368403,201754,110075,110077,201756,368408,664151,1182414,1998558,1142332,640809,640808,1142328,1998551,3391362,3455614,5571466,5526554,3412848,267847893,3390102,3390103,3451706,2045045,2015977,1153225,646979,646980,1153200,1764717,1005434,566601,317334,175442,175444,317179,317177,317191,317189,317745,317743,567323,1006633,1149466,644827,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,2044666,3451268,5371031,5371032,3393147,254412023,5504188,8503844,5557698,254613111,12612225,268262717,257095609,49773379,257617416 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4864589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4864781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660666, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7277969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7277969, s2 = 1911109, int(edited[s2]) = 0 s1 = 7277969, s2 = 1911109, d1 = 134, d2 = 149 Dl.O(d1) = 264888646,200389849,193230710,193230709,193230711,193230712 Dl.O(d2) = 87082302,73465098,73465097,73465096,73465098,60717241,49315385,49315384,60717240,257608009,39387625,30785423,30785422,39387628,49315386,49315387,60717243,49315388,49315386,39387627,30785421,30785420,30785423,23360221,255146615,8058942,5150861,267903079,12004141,12004150,8058948,8051835,8029145,5118272,3109035,1816782,1816781,3109032,3128015,1828603,1828604,3128016,3153226,1845047,1840191,1050138,590728,590727,1043663,1828573,1832364,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817016,1838762,3143753,5117387,5101950,5101949,3108470,3108471,3131908,3131907,3143811,5147119,5162463,3145471,254178473,1049995,1839919,3112325,5122580,5172785,3154451,3154452,3143233,1838413,1838414,3096363,3098644,1810473,1034008,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065590,1868018,3110419,3098950,3098952,5104793,3115515,3115514,3130394,1830006,1044481,587939,587936,1044426,1044423,1829923,1831009,1044966,588174,328316,328318,588186,1044994,1819941,2868305,4758746,5123439,5154748,4762834,2871034,1666236,1666238,2871041,3112738,5107294,5109940,5109939,7529849,4763023,2871155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7277969, s2 = 1911109, dlinesl.size( ) = 20 s1 = 4866248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8725399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8660112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10258888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8673081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8673081, s2 = 16323774, int(edited[s2]) = 0 s1 = 8673081, s2 = 16323774, d1 = 3, d2 = 29 Dl.O(d1) = 140210983,152901103 Dl.O(d2) = 263475616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8673081, s2 = 16323774, dlinesl.size( ) = 52 s1 = 7244431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7244431, s2 = 14739584, int(edited[s2]) = 0 s1 = 7244431, s2 = 14739584, d1 = 6, d2 = 6 Dl.O(d1) = 264481088,206565970,263514390 Dl.O(d2) = 264481088,206565970,263514390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7244431, s2 = 14739584, dlinesl.size( ) = 2 s1 = 7244431, s2 = 14739584, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7244431, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14739583, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13776713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13774813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7728569, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10262001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6996710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4987035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8701395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8731562, s2 = 7746967, int(edited[s2]) = 0 s1 = 8731562, s2 = 7746967, d1 = 121, d2 = 68 Dl.O(d1) = 263127454,193600152,185303386,185303388,193600160,193252744,193252745,193600062,200710665,206709730,206457794,206457795,200411409,200411407,193645154,193645153,200750253,206457993,264977799,211666054,206709634,263523114,193599890,200411489,200411488,200710506,263523112,206709635,263880753,264487539,215717062,219067691,265379355,226434200,265553548,264745466,273114384,200411581,200411582,263127474 Dl.O(d2) = 274291239,265414430,184914431,193252545,200410444,273541120,262692998,262213124,262341911,177847988,187121219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4988043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4988043, s2 = 7732738, int(edited[s2]) = 0 s1 = 4988043, s2 = 7732738, d1 = 7, d2 = 11 Dl.O(d1) = 206712066 Dl.O(d2) = 273986113,264884746 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4873080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9025198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8708420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7705405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10262097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10262097, s2 = 8644995, int(edited[s2]) = 0 s1 = 10262097, s2 = 8644995, d1 = 1, d2 = 1 Dl.O(d1) = 211729037,264750337,264750335,211729035,211729034,264750337,206780045,200790192,263530521,175926385,165220052,165220051,263135805,193692416,274190961 Dl.O(d2) = 211729037,264750337,264750335,211729035,211729034,264750337,206780045,200790192,263530521,175926385,165220052,165220051,263135805,193692416,274190961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10262097, s2 = 8644995, dlinesl.size( ) = 2 s1 = 10262097, s2 = 8644995, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10262097, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7108968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9251086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9720710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8749816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7281958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4991710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7211041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7170960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7170960, s2 = 7746322, int(edited[s2]) = 0 s1 = 7170960, s2 = 7746322, d1 = 17, d2 = 19 Dl.O(d1) = 263535345 Dl.O(d2) = 274280359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7170960, s2 = 7746322, dlinesl.size( ) = 20 s1 = 7115793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4992478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4992478, s2 = 4613189, int(edited[s2]) = 0 s1 = 4992478, s2 = 4613189, d1 = 13, d2 = 18 Dl.O(d1) = 206827632 Dl.O(d2) = 193758171,185492407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6931171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6931171, s2 = 7044987, int(edited[s2]) = 0 s1 = 6931171, s2 = 7044987, d1 = 25, d2 = 22 Dl.O(d1) = 260252312,263940650 Dl.O(d2) = 261781982,112800674,112800673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6931171, s2 = 7044987, dlinesl.size( ) = 36 s1 = 7192637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10263205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8702729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2865986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8577745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8687657, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8696794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4996141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4883493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4883493, s2 = 11176069, int(edited[s2]) = 0 s1 = 4883493, s2 = 11176069, d1 = 10, d2 = 17 Dl.O(d1) = 201081810 Dl.O(d2) = 256328626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4883493, s2 = 11176069, dlinesl.size( ) = 36 s1 = 7082086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15010910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15010910, s2 = 4884102, int(edited[s2]) = 0 s1 = 15010910, s2 = 4884102, d1 = 6, d2 = 6 Dl.O(d1) = 219281445,219281446,265205842,201101262 Dl.O(d2) = 219281445,219281446,265205842,201101262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15010910, s2 = 4884102, dlinesl.size( ) = 2 s1 = 15010910, s2 = 4884102, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 15010910, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 240136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4999053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4999053, s2 = 9810850, int(edited[s2]) = 0 s1 = 4999053, s2 = 9810850, d1 = 4, d2 = 16 Dl.O(d1) = 207060872 Dl.O(d2) = 5473996,6426544,4031944,4031943,6426542,9774045,255316347,19844661,26658781,29763864,22401449,22401450,255091865,7495957,4738429,2855787,2855786,4738425,4738442,7495975,11290287,16239851,254200458,9034774,9034775,13245458,13227540,13227539,18609813,24879772,31208298,23721887,23721889,18651402,13262350,9049452,254434712,3698428,5915685,9049450,13262345,17398023,22986614,22401461,16239719,11290208,7495928,4738407,2855777,1657401,1657402,2855779,4738411,7495933,255470357,23721933,28617841,28617840,28617854,37129451,269013670,38334648,38334647,48245077,59632210,72366667,59632213,59632214,72366672,74168639,74168638,62989499,62989498,73598784,60849100,51793407,41516081,32630915,24962015,24962014,32630912,32630918,41516086,51793419,63578985,76664881,90527128,87852181,257750686,61468930,58383697,58383696,71100473,84663605,98587169,90527130,90527129,84769181,84769180,87852183,87131199,73512402,73512403,61468935,49991453,39975321,31300667,23814331,17479967,255562117,31300670,39975325,49991458,61468941,59450319,59450320,255343920,61468922,49991445,268679317,31300665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4999053, s2 = 9810850, dlinesl.size( ) = 2 s1 = 4999053, s2 = 9810850, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4999053, Dl.E( ) = 26, 1.38e-05 seconds used appending s1 = 4999104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10259369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10256041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4885792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5000292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5000340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8842618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8842618, s2 = 13997666, int(edited[s2]) = 0 s1 = 8842618, s2 = 13997666, d1 = 6, d2 = 6 Dl.O(d1) = 141447425,154118219,165884604,176538402,185966851,176538411,165884609,165884610,263172243,185966860,185966847,176538400,165884603,165884604,176538402,185966851,185966850,185966851,176538411,176538410,263172243,263917283,264516921,201227552,194187082,185966859,176538406,165884607,165884608,176538408,185966862,194187084,201227554,264516925,207154133,201227549,264233179,212041279,216033836,212041276,207154126,201227545,201227547,207154105,201227527,194187061,185966845,185966846,194187062,194187085,201227557,207154131,263917281,185966857,176538405,263172241,194187077,201227548,207154128,212041278,216033844,219341640,222136514,222136513,224536024,224536021,222136510,219341629,219341630,219341642,216033850,216033827,212041261,207154112,207154111,207154113,207154114,212041264,216033829,265209777,216033858,212041297,207154146,201227558,201227559,207154122,201227543 Dl.O(d2) = 141447425,154118219,165884604,176538402,185966851,176538411,165884609,165884610,263172243,185966860,185966847,176538400,165884603,165884604,176538402,185966851,185966850,185966851,176538411,176538410,263172243,263917283,264516921,201227552,194187082,185966859,176538406,165884607,165884608,176538408,185966862,194187084,201227554,264516925,207154133,201227549,264233179,212041279,216033836,212041276,207154126,201227545,201227547,207154105,201227527,194187061,185966845,185966846,194187062,194187085,201227557,207154131,263917281,185966857,176538405,263172241,194187077,201227548,207154128,212041278,216033844,219341640,222136514,222136513,224536024,224536021,222136510,219341629,219341630,219341642,216033850,216033827,212041261,207154112,207154111,207154113,207154114,212041264,216033829,265209777,216033858,212041297,207154146,201227558,201227559,207154122,201227543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8842618, s2 = 13997666, dlinesl.size( ) = 2 s1 = 8842618, s2 = 13997666, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8842618, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4887333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4887333, s2 = 11524714, int(edited[s2]) = 0 s1 = 4887333, s2 = 11524714, d1 = 32, d2 = 72 Dl.O(d1) = 201246747 Dl.O(d2) = 227162567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4887333, s2 = 11524714, dlinesl.size( ) = 38 s1 = 7268316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7268316, s2 = 14163101, int(edited[s2]) = 0 s1 = 7268316, s2 = 14163101, d1 = 18, d2 = 23 Dl.O(d1) = 264880392,226631324,224547318,222148309,219354416,264773108,273871568,194213169,185998006,176575513,165928964,154169849,141505907,128146485,114261733,100229492,86263843,72663304,59922783,48528742,38612753,30038082,22662583,16468096,255486827,30038080,30038088 Dl.O(d2) = 12004816,267928985,5952837,9098413,13317942,256114219,25284074,28121301,20943996,17253825,12134123,9353581,6127550,6127547,6097889,6097893,6291841,9426746,6176835,6176837,7141008,7141010,9473872,6211967,3888175,3888176,6211970,9473873,6211982,6211981,9473909,10044072,6600551,4135121,4040077,4040075,5591543,3469002,2705295,2705292,4501792,7148751,10816981,15631129,16517801,22722963,27287278,23017395,23017396,28281054,27287387,20352331,14608709,14608708,20352329,22725052,16519787,16519788,18424999,13087465,13087464,18424998,15461930,15461931,10791591,7129814,7129815,10791593,15599659,16518799,22723984,26734311,27280977,28024812,23554354,17245608,17245606,20842409,20842408,28007014,23967453,17617344,12435358,8404431,5423247,5423246,8404427,12435351,17617336,19541928,13992730,13992729,19541926,14940752,14940751,16519351,21973054,18678100,18678101,21619349,28132230,28132231,28135819,20957800,15048858,12508484,8473687,5477413,3370613,1983432,1132926,1132930,1983448,3370639,3721257,4929505,2973432,1725542,980990,980989,1725535,2564439,1476754,835422,835427,1477725,2566360,2566329,2566331,2566425,4292572,4293620,4293621,2567102,1478094,835596,835594,1478083,2567077,4227582,4228346,6746758,4227553,2527785,1456810,824844,465815,465814,824841,1456803,2527768,4227519,6746740,9061607,9061608,9059165,9059166,9076788,13294789,18688140,25259716,32983023,257180835,64110351,77256897,91175248,105396908,119632920,133504608,133504609,146760511,158578569,159134382,170476884,180614823,189520384,197215958,203780021,209260002,213755648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7268316, s2 = 14163101, dlinesl.size( ) = 2 s1 = 7268316, s2 = 14163101, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7268316, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 5001751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4887716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4887716, s2 = 4126682, int(edited[s2]) = 0 s1 = 4887716, s2 = 4126682, d1 = 18, d2 = 17 Dl.O(d1) = 165940163,165940164,176586635,186008520,194222594,201258868,264519171,207181508,212065776,212065775,265003271,207181517,201258873,201258872,201258866,201258868,264519171,207181508,212065776,212065775,265003271,207181517,201258873,194222596,186008521,176586637,165940165,165940164,176586635,186008519,194222591,201258862,264519173,212065784,207181518,201258873,194222596,194222595,201258855,201258870,263567101,176586637,165940165,165940164,176586635,186008519,194222591,201258863,207181514,207181513,264519173,212065784,207181518,201258873,194222596,186008521,176586637,165940165,154180794,141517339,128159095,260026971,86279076,259171866 Dl.O(d2) = 30059779,22682849,16484332,11485422,254541695,2913814,2913815,4835781,7643873,11492880,16495462,22698411,30079734,38656664,48572434,59964456,72701935,270855347,100261553,271816719,128174628,141532588,154195901,165955286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4887716, s2 = 4126682, dlinesl.size( ) = 2 s1 = 4887716, s2 = 4126682, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4887716, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 4780343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4780343, s2 = 7144730, int(edited[s2]) = 0 s1 = 4780343, s2 = 7144730, d1 = 95, d2 = 129 Dl.O(d1) = 194914341,201845467 Dl.O(d2) = 263177124,262266100 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4888100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8616299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9523509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8705247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7746321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7746321, s2 = 7170959, int(edited[s2]) = 0 s1 = 7746321, s2 = 7170959, d1 = 156, d2 = 177 Dl.O(d1) = 274280358 Dl.O(d2) = 186063013,263535344 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5003693, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9626506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8752409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9200576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4765926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8730290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351322, s2 = 11613024, int(edited[s2]) = 0 s1 = 10351322, s2 = 11613024, d1 = 80, d2 = 92 Dl.O(d1) = 268608491,38849625,255501640,259425689 Dl.O(d2) = 274741969,237988404,238667697,239290159,239862618,240391099,240391097,266836988,239290159,239862618,240391100,240881298,241335358,241335357,240881297,240881298,241335358,240881296,240391097,240391098,239862617,239862618,240391100,240881298,241335358,240881296,240391097,240391098,267033867 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14733315, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9704344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8773352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8773352, s2 = 11255856, int(edited[s2]) = 0 s1 = 8773352, s2 = 11255856, d1 = 48, d2 = 3 Dl.O(d1) = 262414517,179245366,188299932,196185924,273908269,213236191,274300902,216189644,212218138,207357477 Dl.O(d2) = 187393146,178165303,260736742,143570314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8773352, s2 = 11255856, dlinesl.size( ) = 38 s1 = 9048507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9048507, s2 = 10359485, int(edited[s2]) = 0 s1 = 9048507, s2 = 10359485, d1 = 124, d2 = 96 Dl.O(d1) = 132161264,118345682,104188291,90058749,90058750,261388399,157793022,273210965,196364247,274356842,274531207,232791940,231527917,230117900,265835904,265161288,273367237 Dl.O(d2) = 264746112,217100196,213312563,263523972,196331053,188470573,261691498,118301009,104147794,90023089,90023090,104147796,259964736,104431943,90280487,76450258,76450259,259612845,260825737,145703230,158104154,262894833,188728332,179732062,179732063,188728328,196525449,203201423 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7175165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7175165, s2 = 1007559, int(edited[s2]) = 0 s1 = 7175165, s2 = 1007559, d1 = 51, d2 = 87 Dl.O(d1) = 263585971 Dl.O(d2) = 18878414,13453157,9200220,6023608,3768428,2257910,254093816,254093814,2257905,3768420,6023594,9200201,13453122,18878359,25480444,25421658,25421659,21914099,21914098,29230852,33229129,33229131,33229048,33229047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7175165, s2 = 1007559, dlinesl.size( ) = 18 s1 = 13667731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7294086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8731269, s2 = 7269730, int(edited[s2]) = 0 s1 = 8731269, s2 = 7269730, d1 = 1, d2 = 1 Dl.O(d1) = 114850629,128748995,142105973,154742198,166450668,177034956,186393409,186393412,186393413,273732381,201538553,194550738,194550737,201538549,201538550,201538555,201538554,264788997 Dl.O(d2) = 114850629,128748995,142105973,154742198,166450668,177034956,186393409,186393412,186393413,273732381,201538553,194550738,194550737,201538549,201538550,201538555,201538554,264788997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8731269, s2 = 7269730, dlinesl.size( ) = 2 s1 = 8731269, s2 = 7269730, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8731269, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10282559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8679775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8679775, s2 = 11570558, int(edited[s2]) = 0 s1 = 8679775, s2 = 11570558, d1 = 137, d2 = 83 Dl.O(d1) = 186400317,194556620,201543596,207424985,212274825,216237441,219522370,222297386,224680010,224680009,226748865,226748839,224679979,224679980,274561434,224679985,224679986,226748848,226748849,265882241,226748843,224679983,222297368,222297352,219522347,219522346,222297349,224679976,226748836,226748855,226748854,228552860,230139101,230139097,228552849,226748841,224679982,222297354,222297353,224679980,222297363,222297362,224679996,265739355,266012545 Dl.O(d2) = 266013583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8679775, s2 = 11570558, dlinesl.size( ) = 14 s1 = 7078340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5010038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10177473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8829858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6574160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9269036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9269036, s2 = 8195840, int(edited[s2]) = 0 s1 = 9269036, s2 = 8195840, d1 = 12, d2 = 11 Dl.O(d1) = 260046174,268155387,9483366,6218525,3892256,3892258,6218529,9483370,13827514,11823163,11823164,10539311,6950526,6950528,4376214,2621274,2621276,4376222,6965699,10561105,15296549,12069450,12069451,12059456,12059458,15288932,17166065,12069852,8116428,254829159,13522898,9254374,255205496,10554078,9245885,6055495,6055493,9234932,9234933,6963608,6963606,6056657,3789801,2270381,2270384,3789811,6056678,6059361,6059359,5071118,5071116,7969879,11914450,15308626,21270058,28486428,271588965,263381253,264384213,209854290,265311795,266134316 Dl.O(d2) = 262298034,73287826,84967455,71392632,255968816,28816647,21547778,21547777,28816645,37355992,47265756,58657543,67656868,55317135,44471004,267871594,27005590,20114741,14425301,9923001,9923000,14425299,20114737,27005583,33994961,26153315,26153314,28589990,28589991,24340677,24340678,18289642,12981758,8837052,5758676,3586330,3586327,5758667,8837036,12981728,18289602,20114809,14425344,12920898,8789660,8789662,12920907,9922816,9922818,14425028,20114387,18289807,18289808,24767879,28932218,37473684,31765596,31765595,257101045,25985914,255290397,13812316,256164971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9269036, s2 = 8195840, dlinesl.size( ) = 14 s1 = 4897606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4897606, s2 = 14165325, int(edited[s2]) = 0 s1 = 4897606, s2 = 14165325, d1 = 117, d2 = 129 Dl.O(d1) = 263696690,201594747,264036122,216271804,264857500 Dl.O(d2) = 236086050,235154308,234130397,233005120,231761163,230376540,228817778,227048583,225020649,222685711,265053613,212855880,208100680,202333353,195473167,187452415,178235492,167790365,156194594,143664101,130338671,116501844,102406642,88406353,74774751,61978452,50486221,40449871,40449872,50486222,61978453,74774753,88406355,102406644,116501846,130338673,143664102,262369333,167790367,178235494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4897606, s2 = 14165325, dlinesl.size( ) = 30 s1 = 10227620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7175929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7175929, s2 = 8983571, int(edited[s2]) = 0 s1 = 7175929, s2 = 8983571, d1 = 84, d2 = 114 Dl.O(d1) = 263594587 Dl.O(d2) = 244576240,244369907,244146831,244146832,243906907,243649471,243372822,267174482,242762684,242424937,242424936,242060943,241665324,241665325 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10263966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10263966, s2 = 8554491, int(edited[s2]) = 0 s1 = 10263966, s2 = 8554491, d1 = 54, d2 = 48 Dl.O(d1) = 259451883,114959569,128860008,142218308,154854077,262774165,263594979,201609780,201609779,201609782 Dl.O(d2) = 168963161,262011824,260914466,75945106,257829480,32298936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10263966, s2 = 8554491, dlinesl.size( ) = 42 s1 = 8731635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8731635, s2 = 9260045, int(edited[s2]) = 0 s1 = 8731635, s2 = 9260045, d1 = 15, d2 = 11 Dl.O(d1) = 207485545,207485541,207485540,212327543,212327544,216283589,212327547,207485548,207485547,201612313 Dl.O(d2) = 177136503,177136504,186485766,194634084,201612310,207485542,212327544,216283588,212327546,212327545,207485548,263945365,186485768,177136505,166560551,154857758,142222594,128870665,260068667,270354473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8731635, s2 = 9260045, dlinesl.size( ) = 12 s1 = 7269729, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13774855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4898797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9260044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9260044, s2 = 8731634, int(edited[s2]) = 0 s1 = 9260044, s2 = 8731634, d1 = 8, d2 = 11 Dl.O(d1) = 186524095,194669165,201645337,207516590,212355786,263945364,222352791,224727900,224727901,226790545,224727899,222352787 Dl.O(d2) = 216308658,219585484,222352790,222352791,224727902,226790546,224727899,224727898,222352786,222250292,219466819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9260044, s2 = 8731634, dlinesl.size( ) = 14 s1 = 6963941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8826298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7289629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5013809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7669632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7669632, s2 = 7388472, int(edited[s2]) = 0 s1 = 7669632, s2 = 7388472, d1 = 67, d2 = 111 Dl.O(d1) = 271840725,194817555,201761660 Dl.O(d2) = 226826907,265887161,266137207,266745065,267053603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7669632, s2 = 7388472, dlinesl.size( ) = 92 s1 = 10356117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356117, s2 = 10228351, int(edited[s2]) = 0 s1 = 10356117, s2 = 10228351, d1 = 26, d2 = 25 Dl.O(d1) = 85845008,85845009,85845006,72253490,59519491,48132198,38222124,29656201,25951482,25951481,33759582,35101869,35101868,44478968,258532193,95190272,260401707,262578419,262578416,201771288 Dl.O(d2) = 262189989,152861238,262671707,175453610,175453609,164696465,152861255,140167626,140167624,152861253,263112863,164696477,164696476,175453638,263509955,184996644,193330144,184996650,175453626,164696467,152861256,140167626,126817776,112964039,98975013,98975012,112964037,261122189,152861252,164696461,175453625,184996648,193330143,184996638,175453602,263112855,193330144,184996650,175453626,164696467,152861256,140167626,126817776,126817777,261672461,164696468,152861261,140167632,126817779,112964040,98975014,98975012,112964037,261122189,152861252,164696461,175453625,184996648,193330143,184996638,175453602,263112855,193330144,184996650,184996649,193330149,263112865,164696470,164696469,175453629,175453630,175453636,263112851,164696444,152861230,152861228,164696443,175453608,164696478,152861266,140167635,140167634,152861264,164696454,152861242,152861240,140167617,140167616,152861238,164696449,175453617,263112859,152861234,140167612,126817767,112964033,112964032,261672457,164696441,152861266,140167635,140167633,152861262,164696473,263112869,273105873,152861244,261122187,126817772,140167621,263112861,152861248,140167623,140167622,152861246,164696458,164696461,175453625,184996648,193330143,184996638,175453602,263112855,193330144,184996652,262671709,164696468,164696471,175453632,273533293,175453620,175453604,164696440,164696441,152861266,140167635,140167633,152861262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356117, s2 = 10228351, dlinesl.size( ) = 12 s1 = 4901235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7176799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7176799, s2 = 13991064, int(edited[s2]) = 0 s1 = 7176799, s2 = 13991064, d1 = 15, d2 = 24 Dl.O(d1) = 263605565 Dl.O(d2) = 224782216,222413586,219653865,216386392,216386391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7176799, s2 = 13991064, dlinesl.size( ) = 30 s1 = 13786369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4902527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4902527, s2 = 7742660, int(edited[s2]) = 0 s1 = 4902527, s2 = 7742660, d1 = 15, d2 = 11 Dl.O(d1) = 201810121,263943056 Dl.O(d2) = 274202833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4902527, s2 = 7742660, dlinesl.size( ) = 2 s1 = 4902527, s2 = 7742660, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4902527, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 4903378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4903378, s2 = 9045824, int(edited[s2]) = 0 s1 = 4903378, s2 = 9045824, d1 = 0, d2 = 39 Dl.O(d1) = 201842539,207677586 Dl.O(d2) = 274228087,216421997,212488669,212488670,213513957,264857837,217260037,217260038,213513956,213513954,217260031,213513941,264857833,264857835,217260029,217260030,213513941,264857833,264339881,203373404,208940488,213513943,217260034,274228087,216421997,212488669,212488670,213513957,264857837,217260037,217260038,217260044,265079963,264612969,203373403,203373402,208940486,264857833,264339881,196730686,188969852,180012554,180012555,188969853,196730688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4903378, s2 = 9045824, dlinesl.size( ) = 30 s1 = 10336118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7131468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7177429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7177429, s2 = 14141128, int(edited[s2]) = 0 s1 = 7177429, s2 = 14141128, d1 = 21, d2 = 25 Dl.O(d1) = 263613019 Dl.O(d2) = 265161704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7177429, s2 = 14141128, dlinesl.size( ) = 34 s1 = 13825821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4904477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 524173, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7177784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7177784, s2 = 11407386, int(edited[s2]) = 0 s1 = 7177784, s2 = 11407386, d1 = 59, d2 = 0 Dl.O(d1) = 263617715 Dl.O(d2) = 147940405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7177784, s2 = 11407386, dlinesl.size( ) = 50 s1 = 15460962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4906374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4906471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8770569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4907431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4907558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9712964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8653765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7660358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7660358, s2 = 5379092, int(edited[s2]) = 0 s1 = 7660358, s2 = 5379092, d1 = 43, d2 = 30 Dl.O(d1) = 271392489,272901234 Dl.O(d2) = 222537763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7660358, s2 = 5379092, dlinesl.size( ) = 58 s1 = 11660636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660636, s2 = 4908732, int(edited[s2]) = 0 s1 = 11660636, s2 = 4908732, d1 = 3, d2 = 0 Dl.O(d1) = 212660611 Dl.O(d2) = 202071720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660636, s2 = 4908732, dlinesl.size( ) = 2 s1 = 11660636, s2 = 4908732, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660636, Dl.E( ) = 8, 2.69e-05 seconds used appending s1 = 4786186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7178673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8810902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8810902, s2 = 8622290, int(edited[s2]) = 0 s1 = 8810902, s2 = 8622290, d1 = 6, d2 = 4 Dl.O(d1) = 274291539,274422800,222569953,219836452,264565996,207911707,274211442,224917555 Dl.O(d2) = 195212706,202112192,207911702,202112196,263976446,202112196,195212709,187141726,273386244,202112197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8810902, s2 = 8622290, dlinesl.size( ) = 2 s1 = 8810902, s2 = 8622290, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8810902, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 13975399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7713411, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9275348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8628674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4912338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9517385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10267938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8832548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5219548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9600352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9600352, s2 = 8576265, int(edited[s2]) = 0 s1 = 9600352, s2 = 8576265, d1 = 1, d2 = 1 Dl.O(d1) = 48285294,48285295,49024152,49024153,53866549,43342121,34242436,34242437,43342124,40007201,31329139,23837784,23837786,24290899,24290900,31805640,40500844,50536015,50557165,255188880,39410744,268259366,71940493,59201301,59201302,71940495,85528287,99474686,99474687,113485099,127354448,127354449,127354450,140710232,153391897,165195245,165195247,153391898,153391899,165195248,175903407,175903405,165195241,261305460,140710229,140710231,153391897,165195244,165195247,165195246,175903407,175903404,165195241,261305460,127354444,127354445,140710230,153391896,165195243,175903406,185393626,193675740,200776603 Dl.O(d2) = 48285294,48285295,49024152,49024153,53866549,43342121,34242436,34242437,43342124,40007201,31329139,23837784,23837786,24290899,24290900,31805640,40500844,50536015,50557165,255188880,39410744,268259366,71940493,59201301,59201302,71940495,85528287,99474686,99474687,113485099,127354448,127354449,127354450,140710232,153391897,165195245,165195247,153391898,153391899,165195248,175903407,175903405,165195241,261305460,140710229,140710231,153391897,165195244,165195247,165195246,175903407,175903404,165195241,261305460,127354444,127354445,140710230,153391896,165195243,175903406,185393626,193675740,200776603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9600352, s2 = 8576265, dlinesl.size( ) = 2 s1 = 9600352, s2 = 8576265, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9600352, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8757065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7180267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8466887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8466887, s2 = 5294609, int(edited[s2]) = 0 s1 = 8466887, s2 = 5294609, d1 = 42, d2 = 21 Dl.O(d1) = 116510081,130346542,143670853,156200220,167795485,178240211,187457219,195477966,202337695,264828837 Dl.O(d2) = 222357834,219590996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8466887, s2 = 5294609, dlinesl.size( ) = 2 s1 = 8466887, s2 = 5294609, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8466887, Dl.E( ) = 44, 1.41e-05 seconds used appending s1 = 10249531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10249531, s2 = 10342011, int(edited[s2]) = 0 s1 = 10249531, s2 = 10342011, d1 = 165, d2 = 198 Dl.O(d1) = 265443174,274124065,202339553,195479953 Dl.O(d2) = 50497466,268691221,17877526,254616212,24705548,21625349,21625347,254616210 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7051364, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7712057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7712057, s2 = 13799878, int(edited[s2]) = 0 s1 = 7712057, s2 = 13799878, d1 = 16, d2 = 14 Dl.O(d1) = 273396723 Dl.O(d2) = 234509179,266191539,230910762,229435540,229435539,274584357,265668951,225882127,227774616,229435529,229435534,229435535,230910756,232232566,232232571,233425662,232232568,230910758,229435537,274448873,223712364,265507781,227774617,229435532,230910752,232232562,233425650,234509163,235496297,236397004,237219480,237219495,236397027,236397016,235496308,266484627,237219487,237968745,266641723,266641725,237219491,236397027,236397016,235496308,234509174,233425658,232232564,230910754,230910755,229435545,265668953,265668955,265952157,229435555,227774626,225882134,223712369,265133939,214801806,264679581,205394531,205394530,199137115,199137114,264416027,199137111,191738094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7712057, s2 = 13799878, dlinesl.size( ) = 8 s1 = 13207547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5015500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8786336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8786336, s2 = 14276265, int(edited[s2]) = 0 s1 = 8786336, s2 = 14276265, d1 = 58, d2 = 63 Dl.O(d1) = 264831267,208134233,202372493,202372494,208134235,212885559 Dl.O(d2) = 31418846,40097904,31417915,23927896,17586305,12413406,12413407,17586307,23927902,31417924,40097915,46906539,46906522,46872308,46872307,256022354,54686284,54686283,66942638,80368213,72384443,270517653,52502380,257544924,18843040,13425017,9178759,6007615,6007614,9178756,268144527,255923488,255103036,17844989,17844947,12636871,12636872,17267323,19662244,19662245,15479418,10704271,9759050,9759049,9759257,7686294,6417413,4025974,2412542,1396370,794446,450127,450128,794448,1396378,2412483,2412481,4025843,6417134,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,16916314,11838881,7911995,7911994,11838870,11547650,7682671,7682669,11547635,11547556,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,7732012,7732014,11612234,15159585,21104342,21104341,23743613,31227221,38066698,256596272,122300813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8786336, s2 = 14276265, dlinesl.size( ) = 50 s1 = 5029933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5029933, s2 = 14329863, int(edited[s2]) = 0 s1 = 5029933, s2 = 14329863, d1 = 19, d2 = 43 Dl.O(d1) = 208161215 Dl.O(d2) = 223619362,221100695,264908187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5029933, s2 = 14329863, dlinesl.size( ) = 18 s1 = 7180934, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8711709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5030665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660718, s2 = 8685515, int(edited[s2]) = 0 s1 = 11660718, s2 = 8685515, d1 = 63, d2 = 43 Dl.O(d1) = 267606478,275031222,266849764,266106768 Dl.O(d2) = 262388127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660718, s2 = 8685515, dlinesl.size( ) = 72 s1 = 5031259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7174453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7174453, s2 = 6672637, int(edited[s2]) = 0 s1 = 7174453, s2 = 6672637, d1 = 39, d2 = 33 Dl.O(d1) = 263280849,263577324,202552433,262339086,262339088,189802587,180914959,170785623,170785624,261831250,170785621,261288578,272899790,263972948,220627443,217566903,273577040,203991272,197466390,262810792,262339094 Dl.O(d2) = 257180841,25259741,25259740,32983048,257685208,255593752,15212672,10529145,6944082,4363937,4363933,6364316,3993251,3993252,3993180,2393080,2393081,3993184,6364190,9676668,14070735,10549863,10549862,15284337,15268673,10568468,10568466,15304388,15287426,15287425,17148915,12052438,8103176,5191914,5191913,8103172,8106578,5193851,5193850,8106576,12057089,12053925,8104209,5192503,5192502,6942613,6942612,10526791,12384167,17153712,12057137,9263221,6067143,6067142,3796764,3792639,2274029,2274030,3794242,6064233,6956803,6956722,4370946,2618604,2618603,4370973,6067384,4369665,4369666,6954491,10545086,268204501,269375321,72273987,268218200,7467244,7467242,10047820,10047817,14602371,13634089,9336044,6115281,6115280,4846347,4846349,7659728,11514834,13634146,19096667,24937184,255006994,13294536,9076572,9076571,13294529,18687865,25259421,28160785,36635487,255111098,20810073,20810072,24907118,18402907,13071511,13071512,254776486,255001832,17853706,12643656,12643657,17853709,17334868,17334869,23301740,17041512,16889042,11817849,11817851,13636316,16514225,22719230,27991033,22725428,17888612,12670886,8604824,5591651,3469054,2057076,1180144,662719,367513,201134,201135,367515,662723,1180150,2057090,3469071,5591686,6792238,4258551,2545895,254323503,6792236,255364195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7174453, s2 = 6672637, dlinesl.size( ) = 20 s1 = 14165912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9244712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9244712, s2 = 11067518, int(edited[s2]) = 0 s1 = 9244712, s2 = 11067518, d1 = 10, d2 = 13 Dl.O(d1) = 261084896,178321624,187523177,195533020,262641038,212893409,208310982 Dl.O(d2) = 260843866,103420596,256104676,62630335,54611170,43868398,43868397,41721282,254201836,25099841,21466997,15465856,10694069,7065066,4448297,2672489,2672486,4448287,7065044,8128019,12086771,17189375,12823038,8718204,5674899,5674901,8718209,12823049,12823068,12823070,8718231,5674910,5674911,8718238,12823112,18087681,24411810,31959598,256559316,50789485,47160935,37255703,37255702,30587334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9244712, s2 = 11067518, dlinesl.size( ) = 2 s1 = 9244712, s2 = 11067518, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9244712, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 4921491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8736307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7100927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4922258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4923132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4801798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4801798, s2 = 14095368, int(edited[s2]) = 0 s1 = 4801798, s2 = 14095368, d1 = 15, d2 = 1 Dl.O(d1) = 196033671,202795177 Dl.O(d2) = 84300541,70748844,58034519,46661684,36776294,36776295,44604233,35223436,35223387,35223386,44604185,55452939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4801798, s2 = 14095368, dlinesl.size( ) = 2 s1 = 4801798, s2 = 14095368, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4801798, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 7182087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7182087, s2 = 8961515, int(edited[s2]) = 0 s1 = 7182087, s2 = 8961515, d1 = 127, d2 = 103 Dl.O(d1) = 263675107,202802951,264598249,216985889,220160256,222845026,225156362,227165325,228919341,230466170,231841241,233078195,234196536,266460479,236982198,237751589 Dl.O(d2) = 241326319,241747474,242136740,267147473,243146333,267240249,267304292,274904320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8712923, s2 = 184034, int(edited[s2]) = 0 s1 = 8712923, s2 = 184034, d1 = 27, d2 = 34 Dl.O(d1) = 196214828,202958255,208610044,213254907 Dl.O(d2) = 264467258,175105325,269312256,15342575,256853511,58275412,258666070,256853512,28535519,255395754,6991282,4393356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712923, s2 = 184034, dlinesl.size( ) = 24 s1 = 7232903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7232903, s2 = 7092993, int(edited[s2]) = 0 s1 = 7232903, s2 = 7092993, d1 = 37, d2 = 69 Dl.O(d1) = 264330592 Dl.O(d2) = 213817656,213260960,208615966,208615965,274132595,217501289,265073624,264604998,208615969,202963857,196220395,196220396,189608974,189608975,197296619,203854282,264625271,213817650,213817651,217501289,265275056,264850612,274143259,197296622,263340255,262464733 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5035827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4925312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7092992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7092992, s2 = 7232904, int(edited[s2]) = 0 s1 = 7092992, s2 = 7232904, d1 = 32, d2 = 37 Dl.O(d1) = 262464732,263340254,214127692,274143258,264850613,265275057,220257053,220257054,220257056,264625270,213324541,208701024,203073127 Dl.O(d2) = 196354029,196354028,264330593,213324531,274430574,266622927,238464676,267156219,266903832,274771459,233726797,233726798,266418851,266219836,265984668,265852080,265548704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13773993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4926165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7590827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9265911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4927613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4927613, s2 = 7366042, int(edited[s2]) = 0 s1 = 4927613, s2 = 7366042, d1 = 0, d2 = 10 Dl.O(d1) = 203232444 Dl.O(d2) = 222982835,222982836,225272398,265893706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4927613, s2 = 7366042, dlinesl.size( ) = 26 s1 = 11660654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4927965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9609638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9609638, s2 = 8374060, int(edited[s2]) = 0 s1 = 9609638, s2 = 8374060, d1 = 69, d2 = 58 Dl.O(d1) = 225301845,265279722,217245560,213496747,208919185 Dl.O(d2) = 260237502,104765321,258366498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9609638, s2 = 8374060, dlinesl.size( ) = 48 s1 = 7154877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9592757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10253799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5040606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8797229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8797229, s2 = 12830281, int(edited[s2]) = 0 s1 = 8797229, s2 = 12830281, d1 = 157, d2 = 73 Dl.O(d1) = 189119555,196863754,196863740 Dl.O(d2) = 255642472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8797229, s2 = 12830281, dlinesl.size( ) = 44 s1 = 4929983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7056313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4930950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4930950, s2 = 11467202, int(edited[s2]) = 0 s1 = 4930950, s2 = 11467202, d1 = 3, d2 = 9 Dl.O(d1) = 203566267,209096570 Dl.O(d2) = 205986636,199839238,192566637,184115492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4930950, s2 = 11467202, dlinesl.size( ) = 2 s1 = 4930950, s2 = 11467202, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4930950, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6869142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4373685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4373685, s2 = 11254434, int(edited[s2]) = 0 s1 = 4373685, s2 = 11254434, d1 = 59, d2 = 82 Dl.O(d1) = 170309762,261907146 Dl.O(d2) = 176817433,166202093,166202094,176817442,166202092,154470350,141825542,128472383,128472382,141825541,141825539,260115988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4373685, s2 = 11254434, dlinesl.size( ) = 20 s1 = 5042535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4002912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7184034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10346647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346647, s2 = 7391397, int(edited[s2]) = 0 s1 = 10346647, s2 = 7391397, d1 = 61, d2 = 77 Dl.O(d1) = 18663163,15816602,15816603,17189840,23470656,255006132,20825470,14927212,10264510,6744815,6744814,10264506,14927205,20825465,27989943,36448646,268292302,19486697,19486698,256177051 Dl.O(d2) = 266169813,274855510,241229937,274956699,274896544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7318558, s2 = 7137391, int(edited[s2]) = 0 s1 = 7318558, s2 = 7137391, d1 = 21, d2 = 23 Dl.O(d1) = 265362732,264724012,264624181,209316549 Dl.O(d2) = 197283171,189594746,263091688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318558, s2 = 7137391, dlinesl.size( ) = 12 s1 = 8688861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4935653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7706130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7706130, s2 = 5320242, int(edited[s2]) = 0 s1 = 7706130, s2 = 5320242, d1 = 49, d2 = 59 Dl.O(d1) = 273235203 Dl.O(d2) = 220608937,266055709 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13239665, s2 = 14033770, int(edited[s2]) = 0 s1 = 13239665, s2 = 14033770, d1 = 86, d2 = 87 Dl.O(d1) = 8391959,5415566,5415565,8391957,12416122,17590129,23932590,26930591,35012213,26931132,22154529,16034151,16034149,22154523,29493521,30199551,38783862,39029419,30440263,23033414,23033412,30440259,26899600,20017471,20017472,20017583,20017584,26899735,23405524 Dl.O(d2) = 7290538,7290540,10246301,10246302,10396959,15074035,15244490,15051317,10377462,6838013,4290431,2565128,1477102,1477104,2565102,4290387,6837935,10377349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239665, s2 = 14033770, dlinesl.size( ) = 62 s1 = 10254001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9047514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9047514, s2 = 13822056, int(edited[s2]) = 0 s1 = 9047514, s2 = 13822056, d1 = 7, d2 = 13 Dl.O(d1) = 273789663,264874373,274272496,213899797,264978616,203991049 Dl.O(d2) = 217566770,213899796,213899797,264978616,203991049,209433802,209433803,264874375,264874373,265294461,274044047,197466132,197466133,264359529,213899794,209433806,203991058,203991059,264630503,264874377,264746326,189802288,180914594,170785263,159445672,262933549,264359531,213899799,217566771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9047514, s2 = 13822056, dlinesl.size( ) = 2 s1 = 9047514, s2 = 13822056, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9047514, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 13854939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13266415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13266415, s2 = 7166404, int(edited[s2]) = 0 s1 = 13266415, s2 = 7166404, d1 = 0, d2 = 0 Dl.O(d1) = 52554195,52554194,64428537,77597474,91528473,105752008,119986358,133852273,147095866,159469891,170807587,180934505,189819571,197480555,204003399,263483472,220635391 Dl.O(d2) = 52554195,52554194,64428537,77597474,91528473,105752008,119986358,133852273,147095866,159469891,170807587,180934505,189819571,197480555,204003399,263483472,220635391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13266415, s2 = 7166404, dlinesl.size( ) = 2 s1 = 13266415, s2 = 7166404, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13266415, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8761019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8761019, s2 = 14369243, int(edited[s2]) = 0 s1 = 8761019, s2 = 14369243, d1 = 26, d2 = 24 Dl.O(d1) = 189820082,197480986,204003798,209445190,213909868,217575881,213909869,213909870,217575885,220635630,223238533,225489720,223238529 Dl.O(d2) = 217647678,213989323,209533158,204101913,197592404,263731331,170975006,261989575,134091014,120255453,106049985,91851676,91851675,106049984,106049989,259051064,64736237,257216501,33428066,25659673,25659674,19040628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8761019, s2 = 14369243, dlinesl.size( ) = 2 s1 = 8761019, s2 = 14369243, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8761019, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 13784937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7129138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7129138, s2 = 15917618, int(edited[s2]) = 0 s1 = 7129138, s2 = 15917618, d1 = 62, d2 = 2 Dl.O(d1) = 262961534,204013957,209454658 Dl.O(d2) = 23872607,31367313,30689842,30658524,23237504,16965690,11877518,11877519,11675787,11675786,16717600,22954276,17011970,16966826,16139494,16139493,17017121,11933018,8064373,8064372,12007644,17094483,23238192,17031846,11946286,11946285,11930874,11888259,11888258,16975489,23243025,23248980,23244782,16978310,11919787,7974296,5074469,5074470,7974298,7937377,5047596,3057726,1782291,1782288,3057725,5047590,7937373,11873998,16962066,12011528,8069536,8069537,11882777,11882778,11919545,11910851,7967279,7967278,7162542,4511115,4511117,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,7791541,8991779,5870605,3665634,3665635,5870608,8991787,11928993,17014115,23274358,17014447,17014448,255145598,254569008,17017931,11933966,7986538,5082923,3082844,3082842,5082918,7986521,11884329,13410132,9168629,9168630,13410133,16980207,11893607,11893608,13409600,9168093,6000547,6000546,254255688,267769960,7943625,11882214,11930615,7983781,7983782,254383588,17084206,16977784,254384298,11684312,11684311,9648262,6343877,6343876,9648259,7952564,5058015,3064418,3064417,5057994,5057928,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,1050526,590905,590903,1050519,1840857,3146955,5164266,7131527,4489650,4489653,5266920,5266921,8196936,8172849,5242048,4763634,2871617,1666615,948005,948004,254239911,2774726,1873281,1607584,914542,516120,289644,160326,160325,289635,516098,606499,337505,185404,101431,101429,185396,337492,606474,916881,916880,1068679,916046,916048,906965,906963,1595347,918919,518251,290680,290678,518243,918908,916118,914298,914299,1069146,600857,600855,919370,919367,1616371,1875384,1912258,1912259,3202850,3227974,2752214,1595431,907000,906997,516744,289950,160491,88313,48585,48584,88307,160472,289912,516687,336251,184816,101174,101176,184820,184095,184096,334718,600907,916032,1068738,1068740,1873562,1882522,1914005,1871964,1871963,1887710,1887705,1887875,1887736,1077076,1077075,1887735,3221143,5266313,3261312,3261313,4607723,2773635,2773636,2773560,1608744,1608745,1880018,1072555,602633,335613,184527,184528,335618,602642,1072569,1880040,254391595,5252269,8182521,11033322,7308072,4612084,4612085,7308074,254761091,7323264,5270765,5270767,8200168,11033169,7307885,5242524,5242525,3212415,3212414,5256237,8186860,11817580,7895672,5016647,3034727,1766305,254250735,3207561,3207562,5250047,8180463,7319839,4621527,4621528,5257449,3213427,3213428,4611474,7307460,4618785,4618784,7316635,5252063,3209223,3209222,5252058,8182301,5252126,4627082,3209644,3209642,4624478,4624456,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,4612862,4612861,7308797,11033541,7308351,7308352,11033543,8180206,5311113,5311114,8238781,12137602,12137603,16269855,16269854,17257728,12137768,12137769,12150482,11048203,11048204,15922026,15923834,11046534,11046533,12165750,268107367,8247173,5318889,3267732,3267733,5318891,8247176,12172165,8204355,254393673,3229810,4735102,4735101,5221948,7311789,7311788,7311719,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,3275214,5328216,3275126,1926407,1100694,617785,617786,254183983,3275137,5328237,8258206,8258205,12163203,8454939,5462244,3358465,1974430,1974429,3358463,5462241,8454933,12146189,12205705,8243869,8243867,12213342,8243814,8243815,255162955,12212266,12171000,8203050,5274132,5274133,254836989,17292191,12485025,12485026,255577145,17343698,17326420,12201188,254585103,5304270,8226617,8226616,8236242,8236243,12166524,12166523,8226818,8226820,5320961,3269777,3269776,5320959,4960282,267798003,1893605,3229164,5274982,8167298,12137303,8214957,5285861,3238139,254394541,254395473,8221425,5314807,5314808,5314823,3264271,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903668,3223134,1905398,1886491,1081103,607202,337868,337869,607207,254181881,3229975,5275723,268106747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7129138, s2 = 15917618, dlinesl.size( ) = 2 s1 = 7129138, s2 = 15917618, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7129138, Dl.E( ) = 80, 2.98e-05 seconds used appending s1 = 8661389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10257892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660470, s2 = 4609293, int(edited[s2]) = 0 s1 = 11660470, s2 = 4609293, d1 = 17, d2 = 5 Dl.O(d1) = 91499615,80305737,66876085,66876086,80305740,94362499,105881226,91674187,77746832,64563804,52662932,42275694,42275693,52662924,64563788,77746811,91674163,94362426,91673668,91673594,77746406,77746405,77746668,77746669,91673960,91674025,77746871,257797371,52662942,64563826,54618194,43875726,43875728,54618207,66876134,80305825,91673774,77746527,77746529,91673783,105880729,120092351,120092755,120092756,105881266,91674214,77746852,64563813,52662934,42275694,42275693,52662924,64563791,66876049,54618151,43875711,43875713,52662895,52662894,43875718,34605221,255726969,19808264,26617433,34605224,41133557,32319810,24705357,24705356,32319808,29796450,22430124,22430123,29796449,22959159,22959160,30360481,38946535,257577413,269832921,86592716,100554471,260649749,141825756,154470573,144629703,259711514,257836426,89383766,257836424,100663219,86690626,73086896,256999914,39029802,255511204,23033993,22154423,16034077,16034076,13406680,13406678,18818561,25409347,33149833,26144681,19447340,19447341,20867249,14965251,254706621,6770557,10297759,14965252,18921896,18921895,25532631,33293979,42275151,52662406,64563218,64563217,77746170,91673391,260282687,133934360,147156991,159516831,170846224,180967167,189847202,197504322,189847203,189847204,197504323,204024000,264632909,217591420,220649793,223251450,225501178,227458595,225501181,223680448,221172130,218243045,263206580,205334920,199071772,191668036,191668035,199071769,205334917,210519867,214756525,218243041,221172129,223680447,274110808,225853787,227749643,229412929,230890137,232213778,233408650,234493789,235481804,236382961,236382962,237206266,237956825,238639760,237956823,237956824,238639764,239265172,239265173,239839977,240370591,240862052,241316772,241316771,241316770,241738176,242128037,242489502,242489501,242826214,242540983,242183933,241798307,241380232,240929180,240442187,239917312,239349585,238732664,238060967,237321959,236510310,235621157,235621156,234645903,233576824,232401689,231102001,231102000,232401690,232401688,231101998,229652462,228019343,226158226 Dl.O(d2) = 193657769,185368775,185368776,193657771,193657772,185368777,175866813,165145664,165145665,165145666,262477712,140655429,127309407,113450486,99448228,85506485,71920972,59182632,47783189,37859176,29290177,21963429,21963428,27260969,27260967,35386247,35386216,27260944,20326769,14587668,14587667,20326764,27260935,33054279,40053732,40053729,50073591,46705293,42265993,36822619,28335152,21123179,21123178,28327022,25819292,21117197,15170789,10463066,10463065,15170784,21117188,23598452,21962845,21962847,29289403,37858235,30536338,23117645,16858179,16858178,23117639,30536328,29048622,29048624,37596411,254517310,36822662,255439188,39369266,30767951,23344805,23344806,30767952,34562880,34572272,31798439,24284414,17903639,17903640,24284417,22485673,22485674,26576575,19774199,17079010,11991782,11991780,17079005,23345643,23343857,23343858,23344530,23344529,30767685,38357464,267970098,23344102,23344101,30767297,39368755,39371484,31265554,26578335,19775577,19774306,14163837,14163838,15463796,15463797,255837551,26585480,26585481,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,16777968,19776117,14164993,9738361,6403800,4017784,2407587,2407586,4017782,6403793,9738351,14165034,19776178,26579031,34565636,39369723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660470, s2 = 4609293, dlinesl.size( ) = 2 s1 = 11660470, s2 = 4609293, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660470, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 14165950, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7185576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224526, s2 = 13768190, int(edited[s2]) = 0 s1 = 7224526, s2 = 13768190, d1 = 31, d2 = 5 Dl.O(d1) = 264229385,204038614 Dl.O(d2) = 197520006,189864384,180986285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224526, s2 = 13768190, dlinesl.size( ) = 28 s1 = 7185674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4939026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4939028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5050268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9490081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13851479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13851479, s2 = 11513400, int(edited[s2]) = 0 s1 = 13851479, s2 = 11513400, d1 = 78, d2 = 51 Dl.O(d1) = 215265575,218676636,265689161,229650750,274589413,266651491,266784359,239916280,266947785,274862146,240302586,239766751,266728834,274722486,274594228,230718523,229208557,227500452,225547038,265182754,274092188,209538260 Dl.O(d2) = 264881939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13851479, s2 = 11513400, dlinesl.size( ) = 62 s1 = 5051313, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7186394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7186394, s2 = 11582946, int(edited[s2]) = 0 s1 = 7186394, s2 = 11582946, d1 = 19, d2 = 29 Dl.O(d1) = 263734567,265484317 Dl.O(d2) = 235376213,274682863,233284529,233284530,234380060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7186394, s2 = 11582946, dlinesl.size( ) = 8 s1 = 4941878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10260857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10260857, s2 = 4344101, int(edited[s2]) = 0 s1 = 10260857, s2 = 4344101, d1 = 76, d2 = 29 Dl.O(d1) = 207482050,212324539,216280914,214029566,209579299,204155593,264371299,264071180,204155582,204155583,209579284,204155608,197654406,190018535,181164597,171071249,262950443,190018533,197654403,264641409,214029517,214029518,216280914,214029566,209579299,204155593,264371299,264071180,204155595,272993636,159764856,147419841,134208221,120375376 Dl.O(d2) = 167413213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10260857, s2 = 4344101, dlinesl.size( ) = 18 s1 = 14165951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165951, s2 = 10135545, int(edited[s2]) = 0 s1 = 14165951, s2 = 10135545, d1 = 0, d2 = 2 Dl.O(d1) = 20849978,20849977,26911407,20027242,20027243,20027247,26911412,34992748,36476497,30333544,22932775,22932776,22932770,16698039,11658722,11658721,16698033,22932759,30333528,26910804,26910806,34992054,38919885,38919884,46332100,46332101,55221572,44372415,34993973,26912548,20028205,20028201,26912539,34992115,26910846,20026779,20026778,26910841,34992105,44370512,55221659,57678968,46332174,46332172,57678966,70370653,57678898,57678899,70370656,74128335,61345692,49862677,49862676,44371376,34992975,34992974,256336572,37360375,37360374,47270133,58661263,47275336,37365247,28824972,21554333,21554331,28824976,28820696,21551200,21551201,28820699,37360384,46332040,36476523,36476522,36476427,36476428,46331966,47613254,59017550,71401614,58667002,58661223,255844480,36964633,28465593,21243196,21243197,28465597,36964642,46843483,58211516,70928754,61345627,58661288,47270154,37360392,28820702,28820701,37360388,37688141,29126030,21819129,15752781,15752779,21819123,29126023,37688132,47613311,59017609,58667024,47275340,47275339,58667022,71395677,58661234,47270090,37360319,37360318,47270089,47986697,38073955,254738766,22168890,29509754,38073970,38593573,30020868,22648108,22648109,22321397,16176090,16176089,22321394,29672703,23668596,17350214,17350128,12222348,8251992,8251991,12222341,15531289,10741580,7096969,7096967,10741574,15531283,21549721,28819098,29771752,22408067,22408066,28819088,31156347,23668472,23668471,22407468,22407467,28819363,21551148,15532434,15532436,15532460,21551185,28820675,37359782,37359784,38073924,38073921,255470814,38593513,47268968,39838813,31156031,23668208,17349916,17349910,23668198,17349929,12222195,8251872,5323227,5323226,7097095,7097096,10741768,15531577,21550101,28819500,37359267,38593423,37359279,28819506,28819507,28818994,28818993,37358733,29771050,29771035,22407409,17350688,17350689,23669162,30020757,30020756,38593491,48489214,59880766,48508324,38593389,38593388,37358828,28819069,28819070,30020911,22648142,22648124,22648042,16456990,11466446,11466445,16456985,22648037,30020777,38576119,31155433,30005268,22635392,16447551,11459860,11459861,16447554,22635397,30005277,23667526,23667528,29771400,29771397,255470734,31155336,23667519,17349343,12221758,8251543,8251542,12221754,17349330,23667508,31155323,39837954,31155422,23668869,23668872,17350511,12222677,8252216,5323506,5323488,5323487,5323495,8252196,12222652,12222731,17350453,23668854,23668992,17350537,17350538,23668997,31154794,31154793,31163008,31163007,31155407,23671220,23671219,23668960,17350526,17350525,23668958,20231955,17350634,12222762,8254499,5325083,5325084,8254505,12225913,17349779,17350352,17349337,17349336,23667492,23668716,23668034,17349771,17349772,23667306,17349193,12221646,12221648,12222707,8252233,5323514,3271864,1924299,1924298,3271859,5323500,5323526,3271868,3271869,5323529,8252256,12222744,17350615,23667201,31154944,31156701,23668795,17350420,17350419,17349036,17349035,23667073,17349042,17349043,14518111,9989860,9989859,12225878,8254487,5325077,5325078,8254490,12225886,12225982,12225984,17355072,23674758,30005466,30610600,30610599,30144844,23669010,23669011,31154928,23669266,17350757,12222854,8252330,5323572,3271895,1924319,1924320,3271901,5323581,8252339,12222866,17350778,17350465,12222634,12222633,17350461,23667158,17349076,12221578,8251420,5322906,5322905,8251415,12221569,17349063,23667130,30005359,27139293,27139294,31154825,23667104,23667103,23669092,23674537,17354902,255552063,256506415,23669358,23669359,255551665,17350753,23669260,31157185,31157298,31157162,23669238,23667875,255163515,12221940,17349107,12221590,8251429,8251426,12221585,17349095,23667170,23638046,23638045,23667198,31154936,31163122,23674647,17355007,12225947,8254526,5325100,3273015,254397905,3271609,1924121,1924120,1099687,617209,617208,1099686,1099485,617093,617092,1099483,1924440,3272053,1924544,1099559,617129,343029,343030,342998,342997,617084,1099475,1924427,3271813,1924267,1099377,1099376,1924266,1924275,1099519,1099520,1924487,3272129,5323882,8252788,5324183,3272365,1924641,1099629,1099627,1924633,3272350,5324165,5325191,8254626,12222038,8251737,8251738,12222041,8253184,8253182,12222314,12222003,8251701,5323108,3272410,3272409,5324232,8253256,12224095,11265916,7478814,7478813,255089773,22358831,23668675,23668676,20835672,19689275,14116854,14116856,14901470,10252040,6736338,6736339,10252042,14909870,20804142,22672010,22672009,30047389,38621101,31154363,23666645,17348667,12221246,8251138,6732072,4217827,4217828,6732078,10245978,14901882,13455307,13455308,18881420,25484094,21479587,21479588,23674175,23674176,31160882,31155824,23672450,17353162,12224606,12224607,17353163,255688349,19164961,19689211,26426697,29547829,29547828,25526567,23666661,17348675,17348674,23666658,23672702,23672704,17354653,12225702,8254370,5324994,5324995,8254376,12225713,12225671,10774134,7118841,7118843,10774140,15575468,16462778,11470535,11470536,16462785,22655572,30029569,30514670,23098969,16842932,16842933,23098976,23674302,17354710,17354708,23674299,23672652,17353348,12224754,12224753,9372114,6139140,6139141,9372119,13685454,19164977,17354624,17354623,23674206,22672025,22672024,17353383,17353381,23668076,17354639,12225685,8254358,5324988,3272947,1925020,1925019,3272939,5324976,8254341,10774152,15575486,21603304,28878630,23098925,19422951,19422952,26116234,30514753,30846802,31162851,39111893,49041604,60445373,60354361,60354362,60354370,254550044,33223696,25475659,25475660,254558858,37370148,28830148,28830149,28985157,37529564,47437550,55443747,44593552,38525311,32884120,32884119,41806762,37529569,37529568,47437553,37529567,37529566,47437552,41025948,32233531,24635910,18180395,12893411,12893410,13104579,8931159,8931160,13104581,18447634,24966511,31909130,24377641,17979184,12741836,12741835,17979182,24377639,31909128,40623417,32995786,25271560,254619840,9087947,5945017,3717584,3717583,5945015,3717590,2226118,1291198,737023,418935,236436,130450,130452,254093309,737025,1291188,2226101,254297674,9062795,5925857,5925856,6865250,10280575,6756738,5936653,5936656,7612987,7612985,10414739,10414740,9071584,6784370,4253007,2542541,2542540,4253003,6784357,10313808,14981823,20884537,26262741,30898544,257036219,52275470,52275471,64124628,77271985,78268825,78268826,92296045,106594258,120842568,134639850,147770416,160034018,262496293,171270243,171270240,171270239,171270241,171270242,181306552,190120942,197731221,204215611,204215610,209625809,214065595,217710842,220753735,223344388,223021440,220371909,217250920,213502531,208925769,203355029,196708384,188943083,179980414,169796064,158425791,158425792,146053258,132826421,118997962,104808191,258995179,63678440,63678441,51879867,51879866,41586495,32688405,25008541,18481387,13130030,8948746,5841057,3645077,2178884,2178883,3550469,3550468,254626132,12883600,18166942,24617394,22911182,16876298,13126307,8946344,8946342,13125785,8946451,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453 Dl.O(d2) = 5674998,5675000,6536901,5190467,5190471,8101468,12050212,8710469,8710468,12811128,18070821,24497962,24498708,24498709,32070761,40840026,50971313,62589547,258508706,62589543,62589544,75524081,89278614,260187627,131290322,144514858,142523582,129147623,129147624,142523585,261256909,115217266,101140526,87142596,73523756,73523755,60775550,60775551,70912741,58200180,256847219,28455142,21228076,17136272,12042842,8096076,8096077,12042844,17136273,12255501,8276828,5340423,5340422,8276825,6949190,4366680,2616462,2616463,4366682,6949199,6948281,4366161,2616215,1510690,1510691,2616221,4366181,6948323,6969221,6969222,6944511,4364147,4364146,254724859,15261815,18958488,18958489,15266719,10534134,6947124,254725103,15266718,17560303,17560301,255985733,12062311,8110495,5196144,5196146,8110503,10539254,10545009,6955709,6955708,8112260,5197236,3170945,1856335,1856336,3170930,5197212,5197086,4369257,4369256,6953744,4978483,4978482,7842863,6956972,6956971,10548655,10531963,6945777,4364826,4364825,6945775,8103748,8103749,12053282,255536973,30858601,39463283,49391641,60792164,70540239,57838346,57838347,70540237,68078564,55679789,44770935,35345539,34188547,26316819,20349004,20349003,16372332,16372333,18747061,13346812,9119968,7998960,7998959,11949533,11682856,11682857,16724848,22960708,25757746,25757747,33546520,30104541,25653931,19034966,13587190,13587191,19034967,18705407,13312072,9092833,5948569,5948570,9092835,13312075,18705415,25277936,26163760,19463332,13928960,9560512,6273307,6195996,6195999,9450908,9279633,9279631,9447536,6273232,6193842,3927754,2351328,1362065,776285,776282,1362057,2345257,2312831,1341719,1341720,2312835,3822060,3928885,3876660,2351186,2351185,3927522,2352700,2352701,3929859,6276078,9370516,6137959,6137958,9370513,6267195,3924014,3860868,2313003,1341820,1341825,1362595,1362591,1341739,1341742,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,2312835,3822060,3928885,3876660,2351192,2351191,3839767,2352693,2352694,3929839,6276035,3929830,3929831,6276039,9564121,6377834,6377835,9559908,9559907,9415166,9415167,9543187,13688511,13688512,13689735,9415477,6168974,6168976,9375423,9375421,6217413,6217411,9481914,13825610,19333806,26007431,33824944,42865934,35161342,27074648,256225855,27074646,20178748,20178747,14477911,9961504,6547041,4101591,2453471,1418329,1418330,2453474,2453688,2453687,4101959,254692799,3746179,2242466,254443373,6548215,9963474,255334637,27079712,20182462,14480280,9962895,6547870,4102096,2453760,1418480,1418482,2453767,4102072,4102073,6547822,6548098,9963272,9962638,9962637,14479820,20181778,20182408,14481411,9963558,6548251,4102330,267872083,254980325,20181480,20181479,256226203,42066219,42066098,42066097,41288073,35170285,35170287,44432355,257317542,256226328,27080916,20183292,14480852,14480854,20183025,27079793,20182527,20182371,14480211,14480213,9963016,6547950,6547951,9963020,14480472,9963041,9963042,14480513,20182759,27080043,20184589,14481658,14402121,9905991,6510751,6510752,9905996,14402129,9962825,9962824,14480158,12561846,12561847,17753573,20262905,14538194,14538195,14538189,14538188,20262890,27080273,20262593,14538017,14538019,20184303,27082256,32697767,27185848,27185851,35305377,35170317,35053576,35053577,35056458,26973987,26972280,26972283,20087645,14402069,14402071,20087652,26974997,26971367,26971364,35052992,35058785,44426922,35053644,26971846,26971845,20088661,14402649,14402648,20088657,20182641,14480415,14480416,20182646,26972663,20086136,14401221,14401222,16501753,16501754,16501735,16501734,22705740,20086481,20086479,26972700,20086168,14401239,14401238,9905560,6510538,4079886,4079887,6510545,9905575,13415312,18829093,13415296,13415295,18829086,14400976,9905410,9905408,14400966,20085664,20183666,27081390,27081389,35059160,35059920,26976904,26976903,26976688,20088731,20088730,26976682,20088951,20088950,20182512,27079777,35054713,35054603,26972561,20086069,14401185,9905508,6510514,6510515,9905511,14401188,20086074,26972570,26972711,20086180,14401245,9905536,9905535,14401241,9905626,9905625,14401395,20086455,256217541,44428493,53081022,42632946,33607625,33607626,35305092,35305091,35053723,35053721,35056091,35056090,35305101,42402668,35057098,26974501,20087347,20087350,26974506,25646568,19029059,13582700,13582702,19029071,14401451,14401450,20086554,20086573,20086571,26973328,35055542,44430197,257152058,35055703,35055705,269191377,35053323,35053322,44427739,44427740,44429842,44429841,44429824,256599200,26973611,20086764,14401579,9905718,9905716,14401578,20086763,20087791,20087792,26971761,20087471,14401955,9905902,9905900,6510797,6510798,9906075,14402239,20087915,25809503,26977500,26977501,35060200,26977144,20089000,14402829,14402830,20089005,26977153,26977491,35060550,35059321,35059320,44433685,39283723,30686695,23270029,17007014,17007015,23270030,20085738,20085739,256217547,44428657,257308488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165951, s2 = 10135545, dlinesl.size( ) = 2 s1 = 14165951, s2 = 10135545, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165951, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 8712531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8712531, s2 = 8541454, int(edited[s2]) = 0 s1 = 8712531, s2 = 8541454, d1 = 2, d2 = 56 Dl.O(d1) = 178869807,187962099,195888565 Dl.O(d2) = 262733312,121031372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712531, s2 = 8541454, dlinesl.size( ) = 62 s1 = 5053636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4693848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13589687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5054271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258000, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8781699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4946339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10282539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8822226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8822226, s2 = 11587916, int(edited[s2]) = 0 s1 = 8822226, s2 = 11587916, d1 = 73, d2 = 83 Dl.O(d1) = 259712933,121381995,135232015,148397717,160658506,171844991,181809440,190544727,198085480,198085496,198085497,204510756,209867985,265114261,214259778,217865816,265312471,217865810,265195676 Dl.O(d2) = 240826206,240826207,241285170,241710808,241285166,240826204,240826203,241285163,266984947,266984945,266937437,267029627,267086690,274632523,231370566,265862079,265386687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8822226, s2 = 11587916, dlinesl.size( ) = 72 s1 = 5056426, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7735958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8664139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5057701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5057701, s2 = 15659340, int(edited[s2]) = 0 s1 = 5057701, s2 = 15659340, d1 = 57, d2 = 84 Dl.O(d1) = 210234660 Dl.O(d2) = 254094753,254076843,75459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5057701, s2 = 15659340, dlinesl.size( ) = 30 s1 = 4949528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8782365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7188262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4951647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8888154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5060820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13940975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8763772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8763772, s2 = 7606892, int(edited[s2]) = 0 s1 = 8763772, s2 = 7606892, d1 = 11, d2 = 0 Dl.O(d1) = 265151086,264673600,205953904,211040773,210495826 Dl.O(d2) = 269170720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8763772, s2 = 7606892, dlinesl.size( ) = 2 s1 = 8763772, s2 = 7606892, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8763772, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 7131231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7195582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5062401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7714242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7714242, s2 = 9588490, int(edited[s2]) = 0 s1 = 7714242, s2 = 9588490, d1 = 180, d2 = 151 Dl.O(d1) = 273493291 Dl.O(d2) = 222609485,264857364,212742248 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13534579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10254571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5063197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9252049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10237676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10237676, s2 = 7201214, int(edited[s2]) = 0 s1 = 10237676, s2 = 7201214, d1 = 8, d2 = 21 Dl.O(d1) = 16271931,16271932,22439618,23396172,24778610,18298199,18298200,24778614,28292464,21085596,19375924,19375921,18128271,254966282,29151568,37711772,40311119,263481795 Dl.O(d2) = 200697747,263521887,262686247,153225861,140544264,140544265,262686245,175775920,263928674,262205635,263126055,273539467,185287725,175775918,175775917,175775921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10237676, s2 = 7201214, dlinesl.size( ) = 8 s1 = 8742896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8817291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8817291, s2 = 10357335, int(edited[s2]) = 0 s1 = 8817291, s2 = 10357335, d1 = 185, d2 = 157 Dl.O(d1) = 221577599,221204902,264714344 Dl.O(d2) = 263018084 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5063952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5251788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5251788, s2 = 10268805, int(edited[s2]) = 0 s1 = 5251788, s2 = 10268805, d1 = 20, d2 = 19 Dl.O(d1) = 210596141,214820250,210596143,205426848,199179915,191794290,191794291,199179917,205426855,210596152,214820265,218297673,221220342,223723770,265147000,218297682,264695590,205426847 Dl.O(d2) = 221220358,265508361,223723771,265341288,265508359,227784444,229444583,230918837,232239299,233431161,234513789,234309259,233206676,231988124,230635576,229117857,265636921,223176719,220562744,274142941,209314236,203839236,263712181,159224436,146850670,133592632,261426783,105478432,91256164,77336644,260088794,25328487,27166115 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8719577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8482391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10270016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8713725, s2 = 14105265, int(edited[s2]) = 0 s1 = 8713725, s2 = 14105265, d1 = 13, d2 = 31 Dl.O(d1) = 196699183 Dl.O(d2) = 98231048,98231047,98231049,84323622,70764365,58045490,46670379,256441344,74785680,256472210,40461732,40461731,46787834,46787833,48808450,39917523,34626150,26636400,26127204,19432556,19432557,21585569,21585567,21281525,21281523,255442070,256374344,62990784,75972909,89751668,98156992,98156993,112116498,100723048,86746886,257546970,60074776,60074775,72812094,86407224,258174769,60123026,48728220,38807680,268959571,30224691,22832701,22832702,30224693,23565797,17254441,12134675,8164712,5234501,5234500,8164709,8222467,8222468,12192132,15606474,10797195,10797192,15606472,10833650,7161400,4510417,2710292,2710291,4510411,7161382,10797486,10797485,15606869,16769980,16769982,17648756,12476671,8446866,5455426,5455425,8446864,12476668,17648752,16769987,11724396,267984753,7825923,8248860,7826473,4967675,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186087,1864492,1864491,3186083,4655472,4965771,4965768,7824027,7311506,7311507,11037163,15915705,12163006,12163005,255162207,11720400,7822556,4964540,4964539,7822554,8233445,12117524,8148500,5220325,5220324,5265004,267797825,1076628,604739,604740,1076630,1887013,1077394,1077393,1886989,1900501,3227102,3227101,5272773,8201849,12169896,15316739,254728285,6978531,10578923,15316740,16855114,11788176,7871487,4997117,3019268,1754630,1754631,3019271,4997123,7871501,267972435,4638052,2793697,1620490,921560,519562,519560,921554,267789609,254522355,11074076,15947576,15947577,22050845,19794762,14178796,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072992,15955359,15950011,15950010,22053533,22072393,22072394,22036986,22036987,29367771,256486562,29390207,33239842,29377780,29377783,35222345,44603140,47883328,47883327,59254021,59254023,48603780,38687847,31383252,23886629,17540176,17540178,23886631,29368395,29368396,24704934,24704933,29368903,25540171,25540172,29378239,37943588,33303774,25541893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8713725, s2 = 14105265, dlinesl.size( ) = 36 s1 = 7345843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13397153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13397153, s2 = 5066062, int(edited[s2]) = 0 s1 = 13397153, s2 = 5066062, d1 = 0, d2 = 4 Dl.O(d1) = 10481764,15196601,21150857,28367384,23676933,23676934,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151500,15198594,15198596,19104596,25737603,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,5368150,5368147,5368214,8318809,8319142,8318804,8318805,8318833,5368075,5368076,8318902,12315822,16946060,23217540,16945763,16945764,23217418,20935480,16949309,11862359,7927796,7927736,7927735,7927761,11862297,16946283,11860379,11860381,16946291,23218957,16948802,16947810,16947812,16945848,11860128,11860129,15934399,11861499,11861500,16947991,16945531,11859919,7926429,7926430,7926857,7926856,11860710,11860709,16946815,15254502,255818197,16949855,11862713 Dl.O(d2) = 210675296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13397153, s2 = 5066062, dlinesl.size( ) = 2 s1 = 13397153, s2 = 5066062, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13397153, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 5066249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5066249, s2 = 14051960, int(edited[s2]) = 0 s1 = 5066249, s2 = 14051960, d1 = 69, d2 = 93 Dl.O(d1) = 210680465 Dl.O(d2) = 8264462,8263859,5331676,3277216,3277217,5331677,8263860,12238226,12240118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5066249, s2 = 14051960, dlinesl.size( ) = 24 s1 = 7724385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7724385, s2 = 14881, int(edited[s2]) = 0 s1 = 7724385, s2 = 14881, d1 = 94, d2 = 118 Dl.O(d1) = 273755133 Dl.O(d2) = 5664911,3523504,2096447,1206637,680266,378983,378986,214958,117838,64462,64465,64463,64461,64396,64397,64723,64720,118306,215691,389211,694594,1227482,1227479,1227480,2127270,3568957 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10242445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9739405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9739405, s2 = 11111241, int(edited[s2]) = 0 s1 = 9739405, s2 = 11111241, d1 = 118, d2 = 80 Dl.O(d1) = 260403703,123663321,137394517,150434263,262580053,183387197,191949041,199314504,205546245,210700726,214911298 Dl.O(d2) = 37288423,28754518,21495164,21495163,25306364,18730795,15649241,15649242,21688432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9739405, s2 = 11111241, dlinesl.size( ) = 34 s1 = 9549712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5067698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5067698, s2 = 14361467, int(edited[s2]) = 0 s1 = 5067698, s2 = 14361467, d1 = 70, d2 = 127 Dl.O(d1) = 210722191 Dl.O(d2) = 211345206,215440906,218825873,221685014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5067698, s2 = 14361467, dlinesl.size( ) = 2 s1 = 5067698, s2 = 14361467, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5067698, Dl.E( ) = 138, 3.48e-05 seconds used appending s1 = 13736301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4961733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4961733, s2 = 7243090, int(edited[s2]) = 0 s1 = 4961733, s2 = 7243090, d1 = 3, d2 = 10 Dl.O(d1) = 205614038 Dl.O(d2) = 264466610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4961733, s2 = 7243090, dlinesl.size( ) = 8 s1 = 13564649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13564649, s2 = 8589018, int(edited[s2]) = 0 s1 = 13564649, s2 = 8589018, d1 = 6, d2 = 8 Dl.O(d1) = 173722994,260146812,192048627,199403349,205626498,210774698,205626504,261314750,271417576,162714907,162714906,173722996,183500164 Dl.O(d2) = 192048626,192048627,199403349,205626498,210774698,205626504,261314750,271417576,162714907,150616968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13564649, s2 = 8589018, dlinesl.size( ) = 12 s1 = 8695541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8760203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10336679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4963949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7215308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7215308, s2 = 5613572, int(edited[s2]) = 0 s1 = 7215308, s2 = 5613572, d1 = 11, d2 = 11 Dl.O(d1) = 264122887,210579002,274027958,210831376,205695471,199486631,192150051,192150052,191748448,191748447,191748452,191748453,199146226,205402572,210579031,214808107,210579075,210579074,207668940,201831568,194898563,186801012,177506363,166986686,155328722,142728344,129398961,115510113,115510111,257972466,87500337,258595602,259844998,261588272,264271181,205727452,264934337,221384795,265519321,265961247,266199272,227895460,265826615,231011082,232324609,233511107,266401643,236463689,266647248,236463698,237279880,266647254,274716767,233511109,233511108,266401645,236463703,266647252,236463711,235569782,235569780,236463709,237279892,237279891,236463707,236463706,236463691,236463692,237279879,266647250,237279886,266716865,238698716,266780800,238698723,266839922,238698721,238022770,237279890,266491176,234588576,233511111,233511110,234588575,234588568,266401643,236463690,237279877,237279887,266647252,237279895,238022773,238698724,239318673,238698717,238698718,266788150,238113004,237382751,236579207,236579206,235697138,234726979,266213742,231198447,229755449,228129304,226276242,265488914 Dl.O(d2) = 264122887,210579002,274027958,210831376,205695471,199486631,192150051,192150052,191748448,191748447,191748452,191748453,199146226,205402572,210579031,214808107,210579075,210579074,207668940,201831568,194898563,186801012,177506363,166986686,155328722,142728344,129398961,115510113,115510111,257972466,87500337,258595602,259844998,261588272,264271181,205727452,264934337,221384795,265519321,265961247,266199272,227895460,265826615,231011082,232324609,233511107,266401643,236463689,266647248,236463698,237279880,266647254,274716767,233511109,233511108,266401645,236463703,266647252,236463711,235569782,235569780,236463709,237279892,237279891,236463707,236463706,236463691,236463692,237279879,266647250,237279886,266716865,238698716,266780800,238698723,266839922,238698721,238022770,237279890,266491176,234588576,233511111,233511110,234588575,234588568,266401643,236463690,237279877,237279887,266647252,237279895,238022773,238698724,239318673,238698717,238698718,266788150,238113004,237382751,236579207,236579206,235697138,234726979,266213742,231198447,229755449,228129304,226276242,265488914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7215308, s2 = 5613572, dlinesl.size( ) = 2 s1 = 7215308, s2 = 5613572, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7215308, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 5169784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13856313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8745018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8745018, s2 = 8644851, int(edited[s2]) = 0 s1 = 8745018, s2 = 8644851, d1 = 62, d2 = 74 Dl.O(d1) = 272160773,263460301,199672198,205844570 Dl.O(d2) = 113483387,127352841,140708706,153390467,153390475,153390464,153390463,153390458,140708698,127352837,127352838,140708702,153390462,165193972,165193979,153390472,140708710,271794569,99472929,85526432,85526431,99472925,99472924,113483387,127352841,140708705,260572937,99472931,99472930,113483394,261150115,153390464,153390463,153390458,140708698,127352837,127352838,140708702,153390462,165193972,165193979,153390472,140708710,271794569,99472929,85526432,85526431,99472925,99472924,261150109,113483389,113483390,273553674,165193976,175902298,165193978,153390471,140708708,260572935,113483391,261150113,153390469,165193970,175902294,165193975,153390465,140708704,140708703,153390463,153390458,140708698,127352837,113483385,261699379,140708704,127352839,272550401,260572935,113483391,262215579,153390472,140708710,271794569,99472929,85526432,85526431,99472925,99472924,113483387,127352841,140708706,153390467,153390468,153390469,153390460,153390462,165193972,175902295,264163467,192752116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8745018, s2 = 8644851, dlinesl.size( ) = 36 s1 = 4965714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7261650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7281667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7281667, s2 = 14056842, int(edited[s2]) = 0 s1 = 7281667, s2 = 14056842, d1 = 41, d2 = 12 Dl.O(d1) = 264939361,210968508,264703077,210968505,210968506,215137389,210968523,273969259,199700201,192409363,183941147 Dl.O(d2) = 60379879,48983052,39060352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7281667, s2 = 14056842, dlinesl.size( ) = 2 s1 = 7281667, s2 = 14056842, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7281667, Dl.E( ) = 46, 2e-05 seconds used appending s1 = 14722060, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4966397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8721954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9668706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9668706, s2 = 8590834, int(edited[s2]) = 0 s1 = 9668706, s2 = 8590834, d1 = 20, d2 = 5 Dl.O(d1) = 265264284,274397873,218607540,215181703,211022304 Dl.O(d2) = 192498519,261351552,260184468,269916106,257121034,62054717,58158059,268270450,28415396,28415397,268913651,55357525,67697466,81163272,70872024,70872023,81163276,258910834,61465616,259669491,77771998,91699431,105906713,105906706,105906707,120118488,109855870,260421331,260858472,259645984,61425043,49947271,39929795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9668706, s2 = 8590834, dlinesl.size( ) = 14 s1 = 7714986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10208791, s2 = 13983616, int(edited[s2]) = 0 s1 = 10208791, s2 = 13983616, d1 = 28, d2 = 73 Dl.O(d1) = 259370862,256390460,20918963,256279627,269764601 Dl.O(d2) = 264943089,221496205,223966289,226105662,227969658,226105654,223966280,221496200,218614013,215189229,264943087,265350127,226105657,227969659,229607135,229596347,265705048,265684535,265965135,232360530,233542997,234618027,266493707,237303599,238044101,238717445,266841573,238717443,238044098,266585704,235597244,234618025,233542994,232360528,231053108,266404381,266330758,232369131,274548617,223966249,221496170,221496169,265526435,221496172,218613978,215189200,265156343,223966244,226105628,274504691,228204169,226360777,224244607,265154344,211508400,206516618,200476621,193324375,263060982,263112239,193324373,200476618,206516616,211508398,264969309,221803936,224244604,265547151,228204173,265705050,221473793,218585476,215154147,210987808,273854156,192436395,192436396,273316060,164689335,152853460,140159621,126809385,126809384,261671663,263112237,193324363,200476609,206516613,264736141,218958744,221803929,274596731,265350122,219176137,274274737,265561191,223966263,221496182,218613986,215189204,211031157,211031156,215189203,274261383,223966259,226105637,265832447,265685966,224413307,221993708,221993707,221993704,219176135,219176136,265387651,226514685,226091201,265831099,223948539,221473777,264969306,264477008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7135123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7135123, s2 = 7300344, int(edited[s2]) = 0 s1 = 7135123, s2 = 7300344, d1 = 48, d2 = 51 Dl.O(d1) = 263065020 Dl.O(d2) = 265156637 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5075286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5075286, s2 = 11449183, int(edited[s2]) = 0 s1 = 5075286, s2 = 11449183, d1 = 11, d2 = 31 Dl.O(d1) = 211050127 Dl.O(d2) = 262135433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5075286, s2 = 11449183, dlinesl.size( ) = 30 s1 = 7130136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7130136, s2 = 15929838, int(edited[s2]) = 0 s1 = 7130136, s2 = 15929838, d1 = 8, d2 = 23 Dl.O(d1) = 262990792 Dl.O(d2) = 258235116,46730593,36847612,28350249,21136858,15186708,15186710,16073666,16073575,16073577,11161647,11161648,15564696,10765961,10765957,10474854,6906590,6906591,10474857,15185847,21135646,28048965,36513138,46372002,57722351,49724229,39705495,39705494,255564712,57722350,70417342,83944218,97803500,111725660,125531900,138864195,151566576,163449419,174297385,183959885,192426550,199716126,205881898,210981423,210981419,273385536,199716124,199716125,199716126,205881897,263974366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7130136, s2 = 15929838, dlinesl.size( ) = 2 s1 = 7130136, s2 = 15929838, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7130136, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 5172510, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7719931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7719931, s2 = 7285614, int(edited[s2]) = 0 s1 = 7719931, s2 = 7285614, d1 = 44, d2 = 37 Dl.O(d1) = 273642258 Dl.O(d2) = 264981344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7719931, s2 = 7285614, dlinesl.size( ) = 14 s1 = 10244886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10244886, s2 = 14300953, int(edited[s2]) = 0 s1 = 10244886, s2 = 14300953, d1 = 33, d2 = 18 Dl.O(d1) = 272897372,205975931,211059396,215213897,218635958,221516147,223984414,226122770,227985202,265427480,265751782,234632347,235610044,236500716,237313763,266446420,238053493,237313726,237313727,237645931,236868395,236868394,237313748,236868413,236868412,237645939,238053539,266353088,266142266,266142264,237313735 Dl.O(d2) = 246734302,246731471,246664395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10244886, s2 = 14300953, dlinesl.size( ) = 2 s1 = 10244886, s2 = 14300953, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10244886, Dl.E( ) = 40, 1.5e-05 seconds used appending s1 = 14738377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14738377, s2 = 7262389, int(edited[s2]) = 0 s1 = 14738377, s2 = 7262389, d1 = 7, d2 = 7 Dl.O(d1) = 273690803,264706005,264709545,265967707,228362128,265265122 Dl.O(d2) = 273690803,264706005,264709545,265967707,228362128,265265122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14738377, s2 = 7262389, dlinesl.size( ) = 2 s1 = 14738377, s2 = 7262389, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14738377, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 5075673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5075673, s2 = 14917398, int(edited[s2]) = 0 s1 = 5075673, s2 = 14917398, d1 = 21, d2 = 37 Dl.O(d1) = 211059722 Dl.O(d2) = 13976748,9598770,6302765,3949457,2364969,1369265,779628,442161,442160,779625,1344425,1344426,1344201,1344202,1344236,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,767232,767227,1344188,2317240,2317243,2364878,2364881,3949359,2365137,1369349,1369352,2365149,2401167,2401089,2401093,4006615,6385179,6029641,6029643,9210094,12041206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5075673, s2 = 14917398, dlinesl.size( ) = 2 s1 = 5075673, s2 = 14917398, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5075673, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 6990107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8682878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7242673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343868, s2 = 8971725, int(edited[s2]) = 0 s1 = 10343868, s2 = 8971725, d1 = 27, d2 = 53 Dl.O(d1) = 272405718,271583446,55421401,257826594,27106602,35196030,38067054,42124657,38395577,38395576,42183012,33223017,25475113,25475114,27190427,27190426,33223011,42183006,52541882,42182986,33222995,25475097,255262871,13449281,18873824,25475094,256378964,33222631,25474840,25474842,33222635,33222895,25475017,25475016,33222891,27190397,27190396,35310210,35310220,35310219,257928435 Dl.O(d2) = 267116885,274932859,274974841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343868, s2 = 8971725, dlinesl.size( ) = 40 s1 = 7117870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7117870, s2 = 4851537, int(edited[s2]) = 0 s1 = 7117870, s2 = 4851537, d1 = 43, d2 = 23 Dl.O(d1) = 262800812,264710300 Dl.O(d2) = 199839539 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7192761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7192761, s2 = 6863737, int(edited[s2]) = 0 s1 = 7192761, s2 = 6863737, d1 = 37, d2 = 43 Dl.O(d1) = 263834771 Dl.O(d2) = 140094707,259396042,28833463,21562622,21562620,255477836,47282761,55200968,44350522,39397964,39397963,38988272,38988271,48910215,60306047,49346449,49346450,257030738,59326229,47934588,38020897,29459041,22124803,16010536,16010537,22124805,29459046,38020904,47934598,59326240,256930238,39845307,31162665,23674117,23674118,31162668,39845311,48910206,48910205,60306036,257510418,47934607,59326251,72060537,73045094,73045093,86648324,94441580,94441535,80382776,258130538,54694319,54694395,43950597,43950598,46769862,256941064,34675770,34675769,39416939,268635836,73498161,68116226,68116227,81604882,256941056,54694347,66953210,66953212,73428892,60681263,49280408,49280407,255160010,255997666,19863864,19863865,26682129,28579470,28579466,37083862,257436669,71048352,84612261,84863138,98791443,94441590,94441591,108733798,261540093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7192761, s2 = 6863737, dlinesl.size( ) = 46 s1 = 7147369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7701047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7701047, s2 = 3067242, int(edited[s2]) = 0 s1 = 7701047, s2 = 3067242, d1 = 46, d2 = 35 Dl.O(d1) = 273090379,206092524 Dl.O(d2) = 95107945,91315279,91315278,105533247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7701047, s2 = 3067242, dlinesl.size( ) = 14 s1 = 5489002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7262934, s2 = 12307604, int(edited[s2]) = 0 s1 = 7262934, s2 = 12307604, d1 = 0, d2 = 0 Dl.O(d1) = 228045615,228045616,228045618,226187579,224053826,221593456,274264095,264715243,206185697,200099659,200099658,263840607,184488406,174877436,164060092,152182691,139458990,126088785 Dl.O(d2) = 228045615,228045616,228045618,226187579,224053826,221593456,274264095,264715243,206185697,200099659,200099658,263840607,184488406,174877436,164060092,152182691,139458990,126088785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7262934, s2 = 12307604, dlinesl.size( ) = 2 s1 = 7262934, s2 = 12307604, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7262934, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9708932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9708932, s2 = 2134801, int(edited[s2]) = 0 s1 = 9708932, s2 = 2134801, d1 = 36, d2 = 23 Dl.O(d1) = 269878777,102121881,259028544,130086901,271989258,178031387,262931696,207988551,212758914,215330107,211214514,206185936,200099877,263084352 Dl.O(d2) = 58198270,258659939,84466942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9708932, s2 = 2134801, dlinesl.size( ) = 2 s1 = 9708932, s2 = 2134801, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9708932, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 4971858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4972140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4972157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5079225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9599692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4972802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5079358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5079358, s2 = 7166313, int(edited[s2]) = 0 s1 = 5079358, s2 = 7166313, d1 = 113, d2 = 143 Dl.O(d1) = 211250829 Dl.O(d2) = 263482722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 9541538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5081113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5081113, s2 = 10180719, int(edited[s2]) = 0 s1 = 5081113, s2 = 10180719, d1 = 2, d2 = 19 Dl.O(d1) = 211292890 Dl.O(d2) = 229713961,231158341,232453154,233623683,274691209,235659539,234688095,234688096,235659541,266580007,266723439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5081113, s2 = 10180719, dlinesl.size( ) = 2 s1 = 5081113, s2 = 10180719, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5081113, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 5081199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4121106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7194166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4975545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3010103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3010103, s2 = 5082116, int(edited[s2]) = 0 s1 = 3010103, s2 = 5082116, d1 = 1, d2 = 1 Dl.O(d1) = 91264564,91264565,105487073,260859207,146857963,152485586,259915430,126389462,133600686,261427527,133600468,261427503,159231219,170568808,175107440,262166736,146858101,146858102,159231432,146858249,133600715,119726439,105487190,105487191,119726446,133600722,126389355,126389356,139764826,152485423,164352804,175145655,175145720,175145726,175145727,262169708,152433572,152433573,164307326,164307412,164307490,152433726,139708667,126333914,126333912,139708656,152433709,139764853,139764851,146858108,133600596,119726352,105487131,105487130,119726349,133600590,133600806,119726488,119726489,133600810,126389383,112518769,112518768,126389315,126389316,139764758,139708809,126334018,126334017,126389437,112518813,98523932,84598962,84598963,98523934,98523922,98523919,112518785,126389402,139764882,152485476,164352950,262650558,175145868,272178792,152485587,164353060,159231274,146857962,146857961,261095462,139764804,139764805,126389348,259915374,272178786,164307319,152433571,152433573,164307326,164307412,164307490,164307457,152433697,139708644,139708642,152433690,164307449,170568782,159231192,146857870,133600418,119726204,105487032,105487033,119726207,133600423,146857876,133600460,119726237,105487058,105487057,259295870,91264577,105487093,119726290,105487167,91264624,91264622,105487163,119726399,126334087,126334086,112518718,98523872,98523873,112518720,126389283,139764728,152485322,159231541,152485420,139764818,126389352,112518758,112518757,126389350,139708785,259918848,98477403,98477402,112467612,261092695,139754756,152476820,164345691,170568794,159231203,146857881,139708623,262164121,175107273,184690565,273330198,263851181,206305923,211320917,206920914,263706132,185615452,176154220,176154221,176154241,263151459,193871884,262650672,175145865,175145864,176799218,260849854,154443993,166179560,176154244,165475653,153697100,153697101,165475655,154443994,259637474,128443710,141797004,271979508,141031413,153697090,273122835,166179546,166179545,176799205 Dl.O(d2) = 91264564,91264565,105487073,260859207,146857963,152485586,259915430,126389462,133600686,261427527,133600468,261427503,159231219,170568808,175107440,262166736,146858101,146858102,159231432,146858249,133600715,119726439,105487190,105487191,119726446,133600722,126389355,126389356,139764826,152485423,164352804,175145655,175145720,175145726,175145727,262169708,152433572,152433573,164307326,164307412,164307490,152433726,139708667,126333914,126333912,139708656,152433709,139764853,139764851,146858108,133600596,119726352,105487131,105487130,119726349,133600590,133600806,119726488,119726489,133600810,126389383,112518769,112518768,126389315,126389316,139764758,139708809,126334018,126334017,126389437,112518813,98523932,84598962,84598963,98523934,98523922,98523919,112518785,126389402,139764882,152485476,164352950,262650558,175145868,272178792,152485587,164353060,159231274,146857962,146857961,261095462,139764804,139764805,126389348,259915374,272178786,164307319,152433571,152433573,164307326,164307412,164307490,164307457,152433697,139708644,139708642,152433690,164307449,170568782,159231192,146857870,133600418,119726204,105487032,105487033,119726207,133600423,146857876,133600460,119726237,105487058,105487057,259295870,91264577,105487093,119726290,105487167,91264624,91264622,105487163,119726399,126334087,126334086,112518718,98523872,98523873,112518720,126389283,139764728,152485322,159231541,152485420,139764818,126389352,112518758,112518757,126389350,139708785,259918848,98477403,98477402,112467612,261092695,139754756,152476820,164345691,170568794,159231203,146857881,139708623,262164121,175107273,184690565,273330198,263851181,206305923,211320917,206920914,263706132,185615452,176154220,176154221,176154241,263151459,193871884,262650672,175145865,175145864,176799218,260849854,154443993,166179560,176154244,165475653,153697100,153697101,165475655,154443994,259637474,128443710,141797004,271979508,141031413,153697090,273122835,166179546,166179545,176799205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3010103, s2 = 5082116, dlinesl.size( ) = 2 s1 = 3010103, s2 = 5082116, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 3010103, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10352033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352033, s2 = 10356817, int(edited[s2]) = 0 s1 = 10352033, s2 = 10356817, d1 = 0, d2 = 25 Dl.O(d1) = 58291750 Dl.O(d2) = 183023201,263418483,262064873,272074371,260967836,19773353,25095743,268167637,9737196,9737197,13179403,9737202,6403164,6403163,9737200,14163157,19773381,26575596,256719679,54580717,66840130,258837174,59518809,64380890,52507363,52507364,63837153,63837152,76944182,70433968,70433967,72252804,72252803,83960226,83960250,83960249,97819204,91480123,77548990,64380895,52507368,42149702,42149701,52507367,256814163,28063358,36529410,46389489,42978841,256525150,13879664,9521979,6245275,3909555,3869792,2317769,1343946,1343950,1344217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352033, s2 = 10356817, dlinesl.size( ) = 26 s1 = 10356816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7086884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8724217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5083209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5083209, s2 = 3120045, int(edited[s2]) = 0 s1 = 5083209, s2 = 3120045, d1 = 23, d2 = 0 Dl.O(d1) = 211346527 Dl.O(d2) = 98553666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5083209, s2 = 3120045, dlinesl.size( ) = 2 s1 = 5083209, s2 = 3120045, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5083209, Dl.E( ) = 44, 3.6e-05 seconds used appending s1 = 5268179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7166084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9740437, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9707526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9707526, s2 = 7264300, int(edited[s2]) = 0 s1 = 9707526, s2 = 7264300, d1 = 7, d2 = 3 Dl.O(d1) = 58475089,71196461,84764670,98691692,273659842,273332121,263859287 Dl.O(d2) = 264729793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9707526, s2 = 7264300, dlinesl.size( ) = 8 s1 = 7158341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7195192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7195192, s2 = 15249515, int(edited[s2]) = 0 s1 = 7195192, s2 = 15249515, d1 = 15, d2 = 0 Dl.O(d1) = 263860853,206406831,211412055,215503426,218884082,265543251,226310391,265847175,229782186,231222969,232515336,233683482,234745337,266349416 Dl.O(d2) = 224655362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7195192, s2 = 15249515, dlinesl.size( ) = 2 s1 = 7195192, s2 = 15249515, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7195192, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 5182117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13650523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4981297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4981297, s2 = 4598514, int(edited[s2]) = 0 s1 = 4981297, s2 = 4598514, d1 = 4, d2 = 0 Dl.O(d1) = 206441173,206441174 Dl.O(d2) = 184895184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4981297, s2 = 4598514, dlinesl.size( ) = 42 s1 = 7721927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4981904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7703009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703009, s2 = 9046319, int(edited[s2]) = 0 s1 = 7703009, s2 = 9046319, d1 = 23, d2 = 27 Dl.O(d1) = 273130440,206483420,263912612,218937617,221785256,224227287,264512916,211479884,206483421,263558964 Dl.O(d2) = 218937614,218937615,221785253,224227283,274461117,264998260,264998262,264512914,265703905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7703009, s2 = 9046319, dlinesl.size( ) = 2 s1 = 7703009, s2 = 9046319, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7703009, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 10255496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10255496, s2 = 2946386, int(edited[s2]) = 0 s1 = 10255496, s2 = 2946386, d1 = 151, d2 = 130 Dl.O(d1) = 263507820,175407122,262187071,140115610,126766500,126766499,140115607,152809070,164646422,175407118,264188257 Dl.O(d2) = 115921273,101874279,101874280,115921274,272262159,115921279,115921278,129821991,115921275,101874282,87900036,87900035,101874280,115921271,115921270,129821985,271472214,87900032,74296382,257710754,40020108,31340732,23847827,23847828,31340734,261291137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10255496, s2 = 2946386, dlinesl.size( ) = 80 s1 = 9049831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8684760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9573777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8725857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8725857, s2 = 5764064, int(edited[s2]) = 0 s1 = 8725857, s2 = 5764064, d1 = 7, d2 = 2 Dl.O(d1) = 193378444,200525876,206560504,211546786,215620704,218987627,221829506,224267598,226381999,228223617,226382000,224267599,265549123,221829503,221829495,221829490,221829489,224267586,224267589,224267597,221829505,218987625,215620702,215620701,218987623,218987622,221829500,224267595,226381999,228223617,228223616,226381998,224267591,224267590,224267585,221829488,221829487,265706981,228223618,229840808,231277196 Dl.O(d2) = 233728801,234787376,235752067,236629724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8725857, s2 = 5764064, dlinesl.size( ) = 2 s1 = 8725857, s2 = 5764064, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8725857, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13755627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13755627, s2 = 4414637, int(edited[s2]) = 0 s1 = 13755627, s2 = 4414637, d1 = 19, d2 = 0 Dl.O(d1) = 185060484,263873075 Dl.O(d2) = 173622794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13755627, s2 = 4414637, dlinesl.size( ) = 2 s1 = 13755627, s2 = 4414637, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13755627, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 8818842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4985745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7687289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4985927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165894, s2 = 14137442, int(edited[s2]) = 0 s1 = 14165894, s2 = 14137442, d1 = 1, d2 = 1 Dl.O(d1) = 12405252,12405253,17577105,23918777,19634377,17572887,15474462,15474432,254596652,4451073,4451042,2674036,2674037,2674067,4451179,7069817,10701067,12068812,8380578,5408375,5408374,8214199,8214201,11825220,7902764,6049311,3785457,2267943,2267944,3785462,6049319,4979027,267793383,1747234,3007644,4369946,6955002,10545884,12388370,12388371,16178343,16178341,13532939,13498140,9234841,6048293,267999550,6048250,6048268,6048269,9234800,9235301,9234187,6047863,3784552,3784554,3785842,3784982,3784983,6048585,9235287,13498703,18934159,25546795,33308348,42288407,52674650,64574768,77757361,91684471,105891528,259510084,130339780,116503104,102407828,88407570,74775916,61979518,50487307,40451025,31756125,24244413,24244412,31756123,40451024,50487306,42570116,33553113,31756118,31756119,40451020,39701623,31024519,31024520,31024521,257043393,60530208,49129843,39202882,39202881,49129841,60530204,73274722,86886223,100866361,88425362,74793191,61996791,50505232,40469533,31774670,24262376,24262375,18105679,18105680,24539363,32116940,25895753,19235738,13742970,13742972,18705690,21829007,28051572,20882931,14980545,14980544,20882914,14980538,14980535,20882906,28051544,36515896,46375079,57725391,70420536,83947501,97806860,111728921,125534985,138867109,151569330,163452002,174299642,171334766,160109158,147855591,134730589,120933028,106681167,92377917,78345522,65066646,53083890,42635607,33609875,33609877,38889011,48811497,60208590,60208588,51801943,267833762,26010388,26010389,33828344,42869534,53330788,65328337,72842955,60106413,53470472,53470473,60106415,48710894,38788630,268441672,18675699,18117436,18117437,24554679,18676498,254816312,5928811,5928812,254910031,12848915,12848918,18118192,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,11861558,16948103,18674427,13362794,9132406,9132383,9132382,13362756,18765644,25346714,26967922,20082731,14399022,14399023,12848654,8737328,5688141,3538458,2106303,2106302,3538451,5688119,8737285,9066793,13283102,18675663,24558322,32137686,32137684,40915366,41401948,42020962,33076970,30702468,30702469,39299912,49226837,59956197,59459788,55377583,52244629,41907433,32968099,31315794,31315798,38013551,44839870,44839869,37522058,37522056,41907483,38598264,36922071,28423672,21200517,21200520,28423680,36922080,46800149,51056818,55271073,44423818,35049136,35049137,32149279,32149280,40926835,50219090,40196910,31510957,24010820,17663854,12490811,12490809,17663848,24010810,31510940,29545363,29545364,38108556,30652757,30652758,39248590,40360671,40360672,47550266,255199280,29095553,21798031,21798032,29095555,256039642,58932344,257677948,99142478,113132865,126991145,140345486,153043380,164881228,175637623,185173479,193491246,200620867,206634995,264974425,221860379,224294344,226405744,228244361,229859148,231293536,232579435,233740844,234797879,235761518,236638170,237437164,238162375,238822512,239429031,239989115,240508384,240990673,241436749,267016478,242585727,242914895,242934447,242606776,242254641,241874183,241461823,267000106,240020967,266849726 Dl.O(d2) = 12405252,12405253,17577105,23918777,19634377,17572887,15474462,15474432,254596652,4451073,4451042,2674036,2674037,2674067,4451179,7069817,10701067,12068812,8380578,5408375,5408374,8214199,8214201,11825220,7902764,6049311,3785457,2267943,2267944,3785462,6049319,4979027,267793383,1747234,3007644,4369946,6955002,10545884,12388370,12388371,16178343,16178341,13532939,13498140,9234841,6048293,267999550,6048250,6048268,6048269,9234800,9235301,9234187,6047863,3784552,3784554,3785842,3784982,3784983,6048585,9235287,13498703,18934159,25546795,33308348,42288407,52674650,64574768,77757361,91684471,105891528,259510084,130339780,116503104,102407828,88407570,74775916,61979518,50487307,40451025,31756125,24244413,24244412,31756123,40451024,50487306,42570116,33553113,31756118,31756119,40451020,39701623,31024519,31024520,31024521,257043393,60530208,49129843,39202882,39202881,49129841,60530204,73274722,86886223,100866361,88425362,74793191,61996791,50505232,40469533,31774670,24262376,24262375,18105679,18105680,24539363,32116940,25895753,19235738,13742970,13742972,18705690,21829007,28051572,20882931,14980545,14980544,20882914,14980538,14980535,20882906,28051544,36515896,46375079,57725391,70420536,83947501,97806860,111728921,125534985,138867109,151569330,163452002,174299642,171334766,160109158,147855591,134730589,120933028,106681167,92377917,78345522,65066646,53083890,42635607,33609875,33609877,38889011,48811497,60208590,60208588,51801943,267833762,26010388,26010389,33828344,42869534,53330788,65328337,72842955,60106413,53470472,53470473,60106415,48710894,38788630,268441672,18675699,18117436,18117437,24554679,18676498,254816312,5928811,5928812,254910031,12848915,12848918,18118192,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,11861558,16948103,18674427,13362794,9132406,9132383,9132382,13362756,18765644,25346714,26967922,20082731,14399022,14399023,12848654,8737328,5688141,3538458,2106303,2106302,3538451,5688119,8737285,9066793,13283102,18675663,24558322,32137686,32137684,40915366,41401948,42020962,33076970,30702468,30702469,39299912,49226837,59956197,59459788,55377583,52244629,41907433,32968099,31315794,31315798,38013551,44839870,44839869,37522058,37522056,41907483,38598264,36922071,28423672,21200517,21200520,28423680,36922080,46800149,51056818,55271073,44423818,35049136,35049137,32149279,32149280,40926835,50219090,40196910,31510957,24010820,17663854,12490811,12490809,17663848,24010810,31510940,29545363,29545364,38108556,30652757,30652758,39248590,40360671,40360672,47550266,255199280,29095553,21798031,21798032,29095555,256039642,58932344,257677948,99142478,113132865,126991145,140345486,153043380,164881228,175637623,185173479,193491246,200620867,206634995,264974425,221860379,224294344,226405744,228244361,229859148,231293536,232579435,233740844,234797879,235761518,236638170,237437164,238162375,238822512,239429031,239989115,240508384,240990673,241436749,267016478,242585727,242914895,242934447,242606776,242254641,241874183,241461823,267000106,240020967,266849726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165894, s2 = 14137442, dlinesl.size( ) = 2 s1 = 14165894, s2 = 14137442, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165894, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4986445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4986445, s2 = 11114215, int(edited[s2]) = 0 s1 = 4986445, s2 = 11114215, d1 = 22, d2 = 41 Dl.O(d1) = 206641698 Dl.O(d2) = 113869955,99852385,85897661,72304933,59570969,48184948,268634844,22353521,16202223,11262965,11262966,16202224,17696443,19537324,13989256,13989258,19537328,26255742,26702665,26702666,255554162,38274900,29708189,29708190,30288110,38873855,48796185,59230097,47832337,37910588,255960248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4986445, s2 = 11114215, dlinesl.size( ) = 24 s1 = 7238897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238897, s2 = 9735089, int(edited[s2]) = 0 s1 = 7238897, s2 = 9735089, d1 = 18, d2 = 17 Dl.O(d1) = 264418946,206675090,200672768,193558927,262572138 Dl.O(d2) = 85356202,258524470,59021922,59021923,47618198,37694490,37694489,37694492,29133418,21826369,15758683,14366064,9872615,9872614,11134658,11134657,15983702,15983701,15564647,15564646,21590942,17045366,11957791,11957792,17045369,23306559,17357599,12227704,12227705,17357601,15491468,10712684,7077195,4455540,4455542,7077185,7077187,10712661,15491439,21498107,28757428,254315106,18589536,18589537,14366349,14366351,14366185,9872678,6485725,6485724,9872696,8356493,8356496,12366805,11096337,7417525,7417529,4687438,4687441,7417578,11179598,8132050,5210018,3178593,1860627,1860624,3178605,5210043,8132099,12092532,17196966,22091701,21823282,21823284,15984489,11096806,7359398,7359397,11096798,15718709,10881842,10881846,15718722,20066261,21167549,21167551,25233195,25233196,26950810,22682231,21823550,21823551,254747796,10619052,254499017,2640749,2640750,4405313,7007926,10619055,15368729,15011900,10341172,6807848,4269801,2552824,1470531,1470530,2552822,4269800,3306287,1945099,1945102,1947185,1112335,1112331,1467388,1458743,830249,830251,1467468,2547323,1696873,964872,964874,1696881,2925221,2528646,1457258,254117573,465940,825085,1457261,2528655,4229192,254908801,5921196,3717138,2225831,2225830,2225808,2225810,3717111,5944353,5944751,3717404,2225982,1291129,1291130,2225988,3717386,2226026,2226027,2226035,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375899,5375900,6747310,4227871,2527939,2527938,4227866,4852176,7668771,10267548,254704116,4227725,2545149,1471298,1462240,1462239,267821413,6771387,10284959,6760368,6760369,10284960,14944149,12093887,8133153,5210769,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238897, s2 = 9735089, dlinesl.size( ) = 2 s1 = 7238897, s2 = 9735089, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7238897, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 5092022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5092216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5092216, s2 = 13186724, int(edited[s2]) = 0 s1 = 5092216, s2 = 13186724, d1 = 14, d2 = 69 Dl.O(d1) = 211647764 Dl.O(d2) = 5559721,254281261,1168614,655897,655896,1168609,2039276,3407561,2010245,2010242,3407552,3378385,3378384,5487671,8486809,5569279,3453158,3453159,3402666,2006521,1147145,1147146,1936129,2051852,3385894,3385895,3422450,3440494,2035938,1166255,1166256,2035944,1295714,1295713,2006298,3402345,5515226,8516912,254867791,5514819,5514821,5513755,5513756,3992682,3992683,5567751,5567752,8571817,12625910,12566427,10910866,10910865,12628749,12586799,8539157,5537275,5537276,8539159,12586803,17784184,18931262,13496041,254652719,6046921,9233245,255199635,12628263,17417189,12275951,12275952,17417192,12566411,8521504,8521505,12566412,17758580,24119695,24151434,256026891,17638231,17638230,17449318,17449319,17831797,12626579,12626578,17831792,16890061,11818904,7897202,5018257,5018256,7897226,8290381,12275944,15752951,16714364,12626623,9305566,6095554,3813660,3813658,4546732,4546730,5358379,5358380,8304835,12296306,16387788,19361908,15753362,10909722,10909723,12678242,12678240,17897958,17796128,17796127,17455616,12305493,12305495,12300414,255170765,12233849,8260543,5329294,3275701,1926688,1926689,3275703,5329297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5092216, s2 = 13186724, dlinesl.size( ) = 44 s1 = 7183066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4987518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4987518, s2 = 1157614, int(edited[s2]) = 0 s1 = 4987518, s2 = 1157614, d1 = 12, d2 = 67 Dl.O(d1) = 206700654 Dl.O(d2) = 72781227,60042614,60042613,72781226,70836640,59017883,59017882,63129478,51431877,41233817,254627752,12991617,12991619,18302572,24784224,32408969,41233825,38874720,30288988,22890937,22890938,18183771,12896179,12896177,13592476,13592477,19041489,24784218,24784219,29545585,29545581,23967369,17617268,12435293,8404382,5423219,5423224,6531969,4092897,2448731,1415851,805555,805557,805742,456645,257457,142640,78234,78231,142625,257413,456565,805607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4987518, s2 = 1157614, dlinesl.size( ) = 30 s1 = 15003861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15003861, s2 = 7265844, int(edited[s2]) = 0 s1 = 15003861, s2 = 7265844, d1 = 1, d2 = 1 Dl.O(d1) = 274094890,193601942,185305151,185305152,193601945,200712492,206711474,264745655,265188491,221898509,224327099,226435100,228270668,229882208,229882209,231313622,232596745,233756065,234811495,235773470,236649104,237447400,238171688,266851667,240515493,240997368,241443302,241856684,242238151,242591049,242919713,243225787,243512130,243778143,244024814,244254470,244468098,267364985,245028302,245192293,245346029,245491060,245627339,267481289,245872618,245984113,246088743,246187940,246282402,246370943,246454567,246533593,267573257,246734065,246667482,246596491,246520929,246441205,246356577,246267127,246171735,246071943,245966175,245853605,245734000,245606160,245468745,245322488,245166981,245001158,267361731,244435940,244219768,243986864,243736651,243466433,243176263,242866965,242534650,242177428,241791796,241373597,240922290,240434710,240434709,240922287,241020070,240540451,240023659,239466396,238863380,238207278,237487102,236693709,235822961,234866427,266090282,231385984,265686504,226527501 Dl.O(d2) = 274094890,193601942,185305151,185305152,193601945,200712492,206711474,264745655,265188491,221898509,224327099,226435100,228270668,229882208,229882209,231313622,232596745,233756065,234811495,235773470,236649104,237447400,238171688,266851667,240515493,240997368,241443302,241856684,242238151,242591049,242919713,243225787,243512130,243778143,244024814,244254470,244468098,267364985,245028302,245192293,245346029,245491060,245627339,267481289,245872618,245984113,246088743,246187940,246282402,246370943,246454567,246533593,267573257,246734065,246667482,246596491,246520929,246441205,246356577,246267127,246171735,246071943,245966175,245853605,245734000,245606160,245468745,245322488,245166981,245001158,267361731,244435940,244219768,243986864,243736651,243466433,243176263,242866965,242534650,242177428,241791796,241373597,240922290,240434710,240434709,240922287,241020070,240540451,240023659,239466396,238863380,238207278,237487102,236693709,235822961,234866427,266090282,231385984,265686504,226527501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15003861, s2 = 7265844, dlinesl.size( ) = 2 s1 = 15003861, s2 = 7265844, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 15003861, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7265843, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4988320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8662558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8662558, s2 = 8169232, int(edited[s2]) = 1 s1 = 8537133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8537133, s2 = 14329127, int(edited[s2]) = 0 s1 = 8537133, s2 = 14329127, d1 = 6, d2 = 107 Dl.O(d1) = 99397090 Dl.O(d2) = 176320655,273550775,265203865,215936760,211921720,265176620,264184022,185766228,185766227,194003262,201059959,207008576,211921686,211921716,215936756,219259711,222065710,265368712,265176626,211921708,211921692,207008582,264184026,185766231,185766233,194003271,194003282,194003283,201059978,207008598,211921706,264731564,207008558,211921667,274195085,264965214,207008615,201059999,263861866,176320687,273103218,261662906,85972679,258687032,48256565,38346188,29774853,24175551,17807579,12606424,12606425,13543937,9272037,6073490,3800152,3800151,4902744,7742548,11555621,9115923,9115920,7695600,4870265,4870261,7695594,11422720,7727457,4903690,4087637,2445490,2445491,4087642,6523843,9926373,9926336,9926334,14430535,12606180,8555354,8555351,7743842,7471893,7471891,9117522,5965602,5965600,9117512,5984724,5850105,3651191,3651190,4897580,2951668,2951669,3741987,5984337,7586883,4893913,4893912,7730791,4895353,2950194,2950196,4895286,4895429,4895456,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7748679,4907289,4907291,7748687,11631302,11422786,11422784,13379128,9144687,5984221,3741916,3741914,254521373,2789074,1618170,1618172,2789080,2789162,2789163,2891212,4796416,7583108,254784037,4796319,4796318,7582957,9119761,5967329,5967328,4896055,2950664,1711239,1711240,972548,972549,1711267,2950725,2890665,2890666,4795407,4822249,4822250,2957403,1714854,974350,974351,1714861,2957418,2903006,2903009,2903065,2903241,2903242,4817575,4891102,2947455,1709391,971662,971663,971674,971677,1709447,2935510,1702386,1702385,2935508,4805106,7596319,11414105,7585388,4797832,2891960,2891958,4797825,4810870,2899413,2899412,4799272,2892764,2892763,2555134,2555133,4273570,6813396,10348192,11429911,11608680,9786364,7589918,4800951,4800950,7589912,4817937,4817935,2903524,1684349,957751,957750,957666,957664,1684168,2903183,1684382,957765,957766,1684386,2903584,2903707,2903706,4804833,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417647,2452149,4099235,6543057,9955401,14469472,16412110,16412109,256419435,256549788,16521961,16521963,22727265,29515340,29515341,38079835,47992543,38080029,38080027,33853198,33853200,26999162,22173863,22173774,16049312,16049311,16049433,11143978,7391626,4669810,4669811,7391630,11143913,268083375,16049362,11143939,7391606,7391607,11143941,16049366,22173853,29515409,38079867,38079810,29515314,22173789,16049320,16049319,22173786,28397163,255960166,29515596,22174009,22174011,29515600,37768480,29206933,29206934,37768484,47689800,257387488,29515576,22173994,16049468,16049467,22173990,22173867,16049376,16049374,16049459,16049458,22173934,16049429,11143976,11143975,16049425,16049438,16049293,16049292,22173736,22173844,22173843,22173834,22173836,29515379,29515404,29515403,29515448,30503086,29515359,29515358,38079790,29515298,29515299,38079794,47869223,47869246,37951253,29386653,22056604,15952870,15952869,22056600,29386648,37768475,39310690,38079923,29515444,29515446,29515269,22173755,22173754,29515265,38079757,30713001,30713000,38079778,47992490,38079766,36880209,28383702,21165858,21165859,28383704,22173925,22173923,29515494,36880227,36880228,38079936,38079935,46772907,37758897,36894697,28397249,28397250,36894780,46773001,46335459,46335460,47869237,47869238,39890194,31212418,31212416,33208567,33208565,30503079,30503080,36893559,28396170,28396171,36893561,40723309,36908737,36908738,29197459,21885170,21885169,23296479,17036663,17036664,23296481,30713008,39310697,46772924,36894689,28397182,21177090,21177089,28397179,36382064,36382063,36894758,28397230,22160189,22160190,29498875,22173973,22173972,25808976,25808977,21177134,15217172,15217171,21177128,28397245,28397257,36894791,38079964,38079965,46781518,52526406,42168453,42168452,36894805,36894804,268342436,36905559,36894664,28397166,21177083,15217140,10496802,10496803,15217142,21174409,21174410,21178634,28398961,21188427,21188425,21186887,15224646,15224648,15226060,21188726,28394912,28407857,255807314,10501637,6924714,4350203,2605330,1503499,852297,481386,270939,150209,150207,270947,481410,852341,1503539,2605371,2605372,4350291,6924843,10501840,7860369,4988806,4988807,7860373,11773498,16836132,23090457,21184783,255957423,23052647,30460435,38061505,36909016,28411636,21190056,15227117,15227116,21190053,28411632,36894657,36894658,38632762,48546923,46786683 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9720502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9720502, s2 = 10285367, int(edited[s2]) = 0 s1 = 9720502, s2 = 10285367, d1 = 27, d2 = 21 Dl.O(d1) = 226942786,226942784,228721626,230287057,231678542 Dl.O(d2) = 238176432,238835361,239440801,266731166,238176413,266793797,266663126,266510102,235780280,234819183,233764007,233764006,234819182,235780279,236655027,237452497,238176398,238835312,239440751,240000109,239440734,266905689,239440734,238835297,238176387,274794113,239440733,266731172,238835356,238835367,238176439,238176440,238835345,239440790,240000151,240000142,239440781,238835338,238835337,266852101,240000151,240000106,266731174,238176439,238176440,238176422,237452510,236655036,235780284,234819184,233764007,233764006,234819182,235780279,236655026,237452494,266731157,239440735,266905691,240518952,241000613,241446443,241859751,242240963,242192433,241807589,266964236,240939823,266915176,239929031,266743010,238746679,238746678,239362231,239929030,266862438,238949176,266676691,236802819,274700137,234994089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9720502, s2 = 10285367, dlinesl.size( ) = 8 s1 = 4988881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4988881, s2 = 16277496, int(edited[s2]) = 0 s1 = 4988881, s2 = 16277496, d1 = 129, d2 = 136 Dl.O(d1) = 206732736,211686989 Dl.O(d2) = 54709938,43966123,34690869,256729323,255318609,9789509,9789508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4988881, s2 = 16277496, dlinesl.size( ) = 36 s1 = 9608036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9608036, s2 = 14153512, int(edited[s2]) = 0 s1 = 9608036, s2 = 14153512, d1 = 25, d2 = 19 Dl.O(d1) = 185344385,185344388,193636051,200742193,206738128,211691749,265190361,219088680,219088681,221915648,224342091,226448516,265555322,219088675,215740392,211691746,206738125,200742190,193636044,193636045,193636049,193636047,185344382,185344381,193636045,185344386,175839596,165114993,165114992,175839594,185344384,193636048,200742192,206738126,211691748,215740395,219088679,221915645 Dl.O(d2) = 240520006,240001231,240001230,240520005,241001544,267045177,242241713,242594625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9608036, s2 = 14153512, dlinesl.size( ) = 8 s1 = 9367967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9248065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9259079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6980868, s2 = 2282344, int(edited[s2]) = 0 s1 = 6980868, s2 = 2282344, d1 = 67, d2 = 65 Dl.O(d1) = 260908434,206761325,262501636,219103324,221928719,274512959,233772385,234826453,265938948,266180746,266180748,236592406,237394931,238124467,238788440,274652154,238839537,238839539,238181022,237457459,236660537,236660538,266064734,236660512,265652028,265108334,231333022,232614224,233772364,234826424,265801810 Dl.O(d2) = 58534461,255405304,28710154,28710153,21455221,15456337,10686846,10686845,15456335,21455218,24649345,31232679,39909112,49928422,57842375,59174636,61354196,61354195,61354193,61354194,53202355,47775920,47775919,48080638,59471329,72209089,85803436,99757417,113771490,127639513,140987820,153654403,165435169,176117287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6980868, s2 = 2282344, dlinesl.size( ) = 2 s1 = 6980868, s2 = 2282344, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 6980868, Dl.E( ) = 74, 3.31e-05 seconds used appending s1 = 5094450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4875731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4991190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4991190, s2 = 11364860, int(edited[s2]) = 0 s1 = 4991190, s2 = 11364860, d1 = 0, d2 = 13 Dl.O(d1) = 206798921 Dl.O(d2) = 225377049,263999934,262381278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4991190, s2 = 11364860, dlinesl.size( ) = 38 s1 = 7722363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8699429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8699429, s2 = 10162162, int(edited[s2]) = 0 s1 = 8699429, s2 = 10162162, d1 = 114, d2 = 61 Dl.O(d1) = 184814970,193166300,262893538,200333990,193166302,262893540,211395050,273773342,200834123,193744162,185476654,185476655,193744164,185476658,185476657,273543319,176003074,165308730,165308731,263140671,176003076,166916184,155230241,142592584,142592585,153514863,142592587,142592586,153514869,140835859,127477569,113603190,99587834,99587833 Dl.O(d2) = 254278872,12275217,12275216,17416176,13273539,13273542,12554435,8511933,8511934,12554437,16580519,17738732,12551144,12551145,12539019,12539020,17723236,17740008,12552036,12552038,15096031,16885951,16228008,16228007,17729896,12543717,8503131,8503128,12543697,12543695,17729854,17729982,17729981,17780845,16889323,11818075,11818073,12600965,254606288,15109502,15109501,21035848,15538949,10746681,10746685,15538956,15083527,15083524,17386562,17386560,17770392,17812487,12610701,8559443,5556463,5556462,8528912,8528915,12575398,16612758,17803272,17786721,17786720,24153914,31578108,24072405,17715979,12532591,12532592,8540985,5538892,5538889,8540974,12589023,17786761,254609036,13486436,9227060,6043010,3780925,3780924,6043005,9227054,13486420,18917605,25527158,33169397,32798110,25463736,23041654,22665196,16470272,11475670,254414904,22665195,27041878,20148989,14453817,9944082,6535716,6535715,9944077,11593607,16620980,20148823,20148824,24153667,24153668,24184309,20012276,14332454,14332453,20012275,23739493,17414995,255553620,254591885,3299205,1940424,1108384,1108385,1940426,3299209,254267880,1927614,1927607,1927606,3277143,5331519,267843542,17370225,23692881,31182756,37644383,254267824,15737926,10899939,10899938,15738355,18833858,15734575,15734576,10898311,10898314,15735811,21794912,16647027,16194414,16194416,16941831,16941833,21779548,21779550,19782111,15734355,15734316,15734318,12575701,12273824,12273823,17414938,21294183,15735156,15735158,21794090,21797703,21793140,21793138,21797711,21795814,15736573,10898786,10898787,15736574,21795816,29093620,24877453,254142596,254091748,2160886,2160889 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4991976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4751710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9570318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5097612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8869240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8753796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8753796, s2 = 10269976, int(edited[s2]) = 0 s1 = 8753796, s2 = 10269976, d1 = 44, d2 = 52 Dl.O(d1) = 264792648,206860112 Dl.O(d2) = 264539722,193798208,200881513,206860114,200881515,264258782,185538248,176074150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 6467780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9567548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14730210, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8803474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4995830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4995830, s2 = 8761274, int(edited[s2]) = 0 s1 = 4995830, s2 = 8761274, d1 = 33, d2 = 23 Dl.O(d1) = 206930186,206930189 Dl.O(d2) = 153716250,141049410,260880464,259379396,258131380,13527068,9257946,9242746,9242745,13508471,18945124,18958884,18958885,25568884,33316786,33316785,260284837,133956434,262815822 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5435781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5435781, s2 = 14254633, int(edited[s2]) = 0 s1 = 5435781, s2 = 14254633, d1 = 0, d2 = 0 Dl.O(d1) = 224458814,222046027,219236443,264762039,206964033,201005149,201005150,206964035,211886175,264992787,215908240,264762041,264512424,185686515,176227100 Dl.O(d2) = 224458814,222046027,219236443,264762039,206964033,201005149,201005150,206964035,211886175,264992787,215908240,264762041,264512424,185686515,176227100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5435781, s2 = 14254633, dlinesl.size( ) = 2 s1 = 5435781, s2 = 14254633, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5435781, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9253022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9253022, s2 = 16125780, int(edited[s2]) = 0 s1 = 9253022, s2 = 16125780, d1 = 3, d2 = 0 Dl.O(d1) = 271298792,113909168,99890832,99890833,259908534,260510304,261640576,262644696,263088066,185723382,193966139,201028217,264172354,211901733,211901732,215921451,219248101,274265782,274182316 Dl.O(d2) = 219248103,265168450,224468245,226563355,265695626,231412935,232686815,233838016,234886048,235840548,236709545,237501391,238220067,238874844,266719490,266780385,266716446,235602681,234623931,233549517,266198678,274502060,265678402,221494273,218611737,215186630,211028177,264433030,264140522,263448188,163550420,151668812,138963520,125624751,111809867,97877240,84008553,70474982,57775301,46421169,36557771,28088402,20914844,15009447,10339391,6806555,6767209,4241107,4241108,2552036,1470124,831623,469033,469034,831626,1470130,2552047,4268510,6806004,7669585,11529150,10319518,10319517,9081011,9081012,6789207,5932847,5932848,4257635,2545344,1466409,829712,829713,1466417,2545354,3717846,5945412,9088454,12097588,8136046,5212770,5212771,267928891,3721057,2228085,2228086,3177620,3177621,5208359,8129450,12088678,254909051,5922651,5922650,5937562,5937561,9078804,13296934,9085071,5942508,5942509,9085073,9073080,9073079,5954350,5954351,4254400,2543350,1465289,1465287,2543346,3709212,2565346,2565345,2565615,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399910,2418363,4035576,6432948,8133586,12094445,17199229,268666493,39530030,257619817,60866575,73616892,87238501,260091429,115317252,129245373,142615386,155250938,166934517,262319168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9253022, s2 = 16125780, dlinesl.size( ) = 2 s1 = 9253022, s2 = 16125780, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9253022, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 5101639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165797, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10342861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5103115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8601402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8601402, s2 = 11646747, int(edited[s2]) = 0 s1 = 8601402, s2 = 11646747, d1 = 18, d2 = 12 Dl.O(d1) = 194140856,201183322,207112725 Dl.O(d2) = 266077383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8601402, s2 = 11646747, dlinesl.size( ) = 2 s1 = 8601402, s2 = 11646747, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8601402, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 13746659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13746659, s2 = 7143174, int(edited[s2]) = 0 s1 = 13746659, s2 = 7143174, d1 = 14, d2 = 20 Dl.O(d1) = 201187179,207116295,212006622,216002962,264561402,224514525,226603102,265429846,231061883,229606185,229606184,231061880,232368317,233549667,232712909,231441806,230022962,228423422,226603099,226603098,228423417,230022956,231061875,231061876,266024234,265894754,231441820,230022972,230022973,231441825,232712924,233861619,232712928,231441830,230022986,230022985,231441829,230022991,230022990,231441837,232712932,232368327,231061889,231061888,232368318,232368319,233549670,233861610,234624095,266119842,232368346,232368341,265753636,229606203,228423427,226603101,226603102,265429846,231061883,229606185,229606184,231061880,232368317,233549667,232712909,265894746,266143744,233549667,232712909,231441806,230022962,228423422,226603099,265243318,265753634,233549688 Dl.O(d2) = 227968666,229606170,227968671,226104611,223965027,265392660,274100636,211029154,205940815,199787135,263157746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13746659, s2 = 7143174, dlinesl.size( ) = 12 s1 = 8767384, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7868273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7199900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7268079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7268079, s2 = 8677405, int(edited[s2]) = 0 s1 = 7268079, s2 = 8677405, d1 = 115, d2 = 61 Dl.O(d1) = 264770537 Dl.O(d2) = 194173913,194173926,185953482,176524348,165869967,165869966,154102603,154102602,165869965,176524347,185953481,194173925,194173915,194173916,201215072,201215073,201215078,201215074 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7305350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5001285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5001285, s2 = 3885611, int(edited[s2]) = 0 s1 = 5001285, s2 = 3885611, d1 = 13, d2 = 3 Dl.O(d1) = 207160579 Dl.O(d2) = 140093235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5001285, s2 = 3885611, dlinesl.size( ) = 2 s1 = 5001285, s2 = 3885611, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5001285, Dl.E( ) = 28, 7.87e-06 seconds used appending s1 = 5001492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7077396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7077396, s2 = 5950754, int(edited[s2]) = 0 s1 = 7077396, s2 = 5950754, d1 = 2, d2 = 9 Dl.O(d1) = 262245478,207170134 Dl.O(d2) = 238268449,237552690,236763992,266434785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7077396, s2 = 5950754, dlinesl.size( ) = 8 s1 = 10248407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5072510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8672416, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5003710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5003710, s2 = 16005114, int(edited[s2]) = 0 s1 = 5003710, s2 = 16005114, d1 = 26, d2 = 97 Dl.O(d1) = 207229218 Dl.O(d2) = 254206715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5003710, s2 = 16005114, dlinesl.size( ) = 48 s1 = 8590036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13780289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9046993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7225674, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8357131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4314416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4314416, s2 = 8380524, int(edited[s2]) = 0 s1 = 4314416, s2 = 8380524, d1 = 33, d2 = 35 Dl.O(d1) = 166063848,263927701,207256348 Dl.O(d2) = 261470286,259694646,78337081,72089674,257228150,22149941,21458535,16511855,255109224,6059653,6059654,7843632,4978894,4978893,7843628,11747978,11746669,11746672,13529017,13529015,12272160,12272165,12409726,12409724,11825126,11825125,7903045,5023722,5023720,7903035,5399579,5399580,8366063,12380715,17551083,22776823,22776821,30165695,25590689,25590688,31393564,23899620,255150654,23733671,17409007,17409008,23733672,23893319,258264231 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7201229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13244945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8773020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8773020, s2 = 10354899, int(edited[s2]) = 0 s1 = 8773020, s2 = 10354899, d1 = 92, d2 = 74 Dl.O(d1) = 265218238,212161962 Dl.O(d2) = 154363494,263578751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8773020, s2 = 10354899, dlinesl.size( ) = 26 s1 = 5109652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5006649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7201792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5007998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 208361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7202028, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5009012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660350, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7390864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13834435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9495077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13815111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9581500, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8410993, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7742659, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8411521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8838867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8824977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8824977, s2 = 13696894, int(edited[s2]) = 0 s1 = 8824977, s2 = 13696894, d1 = 49, d2 = 106 Dl.O(d1) = 224743133 Dl.O(d2) = 184847634,175289232,164518431,164518432,175289235,184847624,175289222,164518421,152673925,139975328,126621131,126621133,112765632,112765631,126621145,139975341,139975315,139975314,152673910,164518409,261660942,261661099,164518405,261660938,126621129,126621130,139975326,139975336,139975339,139975338,152673937,164518432,175289234,184847623,175289227,164518426,152673934,139975335,126621140,261110296,112765606,112765605,112765607,261110471,152673892,152673947,152673918,139975319,126621124,112765618,112765617,126621123,261661093,152673914,139975317,126621151,112765638,98775789,98775788,112765623,98775781,98775780,259311828,259312025,112765626,126621134,139975330,262179284,139975322,126621127,112765620,112765621,261661091,126621129,126621130,139975326,139975336,139975339,139975341,139975315,139975314,152673910,164518409,261660942,126621146,126621147,139975342,152673941,152673932,139975335,126621140,126621139,139975332,273332738,152673926,139975329,126621131,126621133,112765632,112765631,126621145,139975340,152673940,152673890,152673891,164518389,175289193,175289200,164518393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8824977, s2 = 13696894, dlinesl.size( ) = 38 s1 = 8754197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9561766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9561766, s2 = 5115994, int(edited[s2]) = 0 s1 = 9561766, s2 = 5115994, d1 = 0, d2 = 4 Dl.O(d1) = 166835064 Dl.O(d2) = 212425620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9561766, s2 = 5115994, dlinesl.size( ) = 2 s1 = 9561766, s2 = 5115994, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9561766, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 5014030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8584829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9255044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9255044, s2 = 11593074, int(edited[s2]) = 0 s1 = 9255044, s2 = 11593074, d1 = 34, d2 = 19 Dl.O(d1) = 263605301,201782147,207626366,274287033,226837489,266017837,232862055,233999311,274564274,228630170,228630169,230206421,231606106 Dl.O(d2) = 235035568,235978765,266679319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9255044, s2 = 11593074, dlinesl.size( ) = 26 s1 = 5210597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5116982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5116982, s2 = 13182542, int(edited[s2]) = 0 s1 = 5116982, s2 = 13182542, d1 = 11, d2 = 32 Dl.O(d1) = 212449455 Dl.O(d2) = 261687318,185272901,193571267,200684250,261138026,200684253,206685886,211638969,215693462,211644954,261138028,261138030,206679439,200677253,193563636,269329170,153199625,140516480,127169734,113310015,268216166,254751560,71771765,59029105,47626665,37704110,29143735,254121950,37704462,29144276,21836588,21216899,21216901,254512596,15765871,15768813,15768812,21836534,29143866,37704214,29144417,21850548,15779767,10931055,7231880,4558345,2740896,2740893,4558338,7231868,10930047,10928125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5116982, s2 = 13182542, dlinesl.size( ) = 16 s1 = 7307833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7307833, s2 = 11432260, int(edited[s2]) = 0 s1 = 7307833, s2 = 11432260, d1 = 11, d2 = 0 Dl.O(d1) = 265235541 Dl.O(d2) = 177508206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7307833, s2 = 11432260, dlinesl.size( ) = 14 s1 = 4645078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4645078, s2 = 7186956, int(edited[s2]) = 0 s1 = 4645078, s2 = 7186956, d1 = 9, d2 = 9 Dl.O(d1) = 186826696,194921028,201852058,207686930,212498092,216431006,216430996,212498086,207686926,264552555,216430999,219692368,222446424,224810848,265516130,224810857,225620240,223386586,265109055,214133064,264377545,263742953 Dl.O(d2) = 186826696,194921028,201852058,207686930,212498092,216431006,216430996,212498086,207686926,264552555,216430999,219692368,222446424,224810848,265516130,224810857,225620240,223386586,265109055,214133064,264377545,263742953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4645078, s2 = 7186956, dlinesl.size( ) = 2 s1 = 4645078, s2 = 7186956, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4645078, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7148620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7148620, s2 = 10400142, int(edited[s2]) = 0 s1 = 7148620, s2 = 10400142, d1 = 58, d2 = 51 Dl.O(d1) = 263224788 Dl.O(d2) = 262322478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7148620, s2 = 10400142, dlinesl.size( ) = 46 s1 = 10240721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10240721, s2 = 7575151, int(edited[s2]) = 0 s1 = 10240721, s2 = 7575151, d1 = 23, d2 = 24 Dl.O(d1) = 258906557 Dl.O(d2) = 268293369,42013683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10240721, s2 = 7575151, dlinesl.size( ) = 2 s1 = 10240721, s2 = 7575151, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10240721, Dl.E( ) = 66, 4.2e-05 seconds used appending s1 = 7309165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7400745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13807105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5120033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10238472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8862858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5019277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5019277, s2 = 5685556, int(edited[s2]) = 0 s1 = 5019277, s2 = 5685556, d1 = 19, d2 = 7 Dl.O(d1) = 207806790,212600620,216517806,219766678,265427807,219766672,216517803,216517804,219766673,222509362,219766676,219766675,222509365,222509359 Dl.O(d2) = 231653361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5019277, s2 = 5685556, dlinesl.size( ) = 2 s1 = 5019277, s2 = 5685556, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5019277, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 5214266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7245497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7245497, s2 = 9720711, int(edited[s2]) = 0 s1 = 7245497, s2 = 9720711, d1 = 1, d2 = 1 Dl.O(d1) = 264494088,207813324,201997673,195082396,262699002,167222042,155590374 Dl.O(d2) = 264494088,207813324,201997673,195082396,262699002,167222042,155590374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7245497, s2 = 9720711, dlinesl.size( ) = 2 s1 = 7245497, s2 = 9720711, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7245497, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 8665114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5121392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14259171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14259171, s2 = 5020199, int(edited[s2]) = 0 s1 = 14259171, s2 = 5020199, d1 = 15, d2 = 12 Dl.O(d1) = 52759638,257212860,49343230,269847387,87113949,101111970,115190094,129121974,142499327,155143690,261966042,177385442,186702026,194816082,201760477,207606111,212426678,216369042,219638103,222399357,224769334,265472994,230196717,265927540,232854112,265923260,230271119,228703701,226922867,224879373,222525639,219784965,216537741,216537740,219784963,222525638,222525642,274039214,216537742,265429427,226922865,226922864,224879372,222525642,274039214,216537742,265429427,226922865,224879370,222525636,219784962,219784963,222525638 Dl.O(d2) = 222525634,222525635,224879371,222525641,222525640,274039214,212621843,207829136,207829137,207829139,202014423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14259171, s2 = 5020199, dlinesl.size( ) = 2 s1 = 14259171, s2 = 5020199, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14259171, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7754036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7754036, s2 = 428795, int(edited[s2]) = 0 s1 = 7754036, s2 = 428795, d1 = 88, d2 = 84 Dl.O(d1) = 274425738,264578992 Dl.O(d2) = 17464551,12312499,12312500,17464552,15737568,10899414,10899415,15737569,21796961,29094662,26441889,26441888,34319762,43420463,37643486,29093753,21795980,15736737,10898895,7208324,7208325,10898919,10029345,10029344,10898886,7208675,4542013,2730376,2730374,4542007,7208659,10899546,15737765,18832567,18832568,21799452,29096904,27240819,27240818,25426566,18833081,13418241,13418242,18833085,21065133,23145272,16885034,16885036,17041131,15387050,14169050,14169048,16989657,16989656,23252705,254842158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7754036, s2 = 428795, dlinesl.size( ) = 70 s1 = 10259794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8810743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8810743, s2 = 11502352, int(edited[s2]) = 0 s1 = 8810743, s2 = 11502352, d1 = 331, d2 = 230 Dl.O(d1) = 208308452,213025702,265431323,219814528,264814164 Dl.O(d2) = 264562997 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5100634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7175690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5123272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5123272, s2 = 7696907, int(edited[s2]) = 0 s1 = 5123272, s2 = 7696907, d1 = 35, d2 = 64 Dl.O(d1) = 212685833 Dl.O(d2) = 272901235,271392488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5123272, s2 = 7696907, dlinesl.size( ) = 78 s1 = 9720958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7150621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7150621, s2 = 11171206, int(edited[s2]) = 0 s1 = 7150621, s2 = 11171206, d1 = 15, d2 = 35 Dl.O(d1) = 263248720 Dl.O(d2) = 262064452,136690657,260372996,80219611,66792325,257282519,34548336,268328619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150621, s2 = 11171206, dlinesl.size( ) = 14 s1 = 5023002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9572252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5023328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5023328, s2 = 14034398, int(edited[s2]) = 0 s1 = 5023328, s2 = 14034398, d1 = 25, d2 = 1 Dl.O(d1) = 207936503 Dl.O(d2) = 73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,39608,39609,73048,254082851,430750,757757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5023328, s2 = 14034398, dlinesl.size( ) = 2 s1 = 5023328, s2 = 14034398, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5023328, Dl.E( ) = 110, 3.29e-05 seconds used appending s1 = 7107682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7272455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7272455, s2 = 6875571, int(edited[s2]) = 0 s1 = 7272455, s2 = 6875571, d1 = 48, d2 = 27 Dl.O(d1) = 264820330 Dl.O(d2) = 259518734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7272455, s2 = 6875571, dlinesl.size( ) = 48 s1 = 7271929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7271929, s2 = 7205870, int(edited[s2]) = 0 s1 = 7271929, s2 = 7205870, d1 = 7, d2 = 7 Dl.O(d1) = 264815194,264571018,263982384,273165302 Dl.O(d2) = 264815194,264571018,263982384,273165302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7271929, s2 = 7205870, dlinesl.size( ) = 2 s1 = 7271929, s2 = 7205870, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7271929, Dl.E( ) = 8, 1.98e-05 seconds used appending s1 = 7704622, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8683773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13724213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13880427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5126856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10284707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4795000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4795000, s2 = 4470920, int(edited[s2]) = 0 s1 = 4795000, s2 = 4470920, d1 = 24, d2 = 1 Dl.O(d1) = 195497327,202353609,208117777 Dl.O(d2) = 176391430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4795000, s2 = 4470920, dlinesl.size( ) = 34 s1 = 5029354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7745630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7745630, s2 = 12993495, int(edited[s2]) = 0 s1 = 7745630, s2 = 12993495, d1 = 37, d2 = 7 Dl.O(d1) = 274270096 Dl.O(d2) = 58285130,269332482,258390067,256914158,255876306,18731251,18731252,14229426,14229425,19860997,259137477,59182917,258104401,65111321,53125551,268760335,13704018,19188383,25842211,33645459,256929402,15216839,10496601,10496600,11688288,7794745,7794743,11688319,16730913,17973918,12737387,8655400,8655401,12296623,8909403,5814000,3626746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7745630, s2 = 12993495, dlinesl.size( ) = 54 s1 = 8590365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8590365, s2 = 10297536, int(edited[s2]) = 0 s1 = 8590365, s2 = 10297536, d1 = 39, d2 = 97 Dl.O(d1) = 259493886 Dl.O(d2) = 247100380,267641473,247282299,267624608,247179919,275071659,267641076,247313126,247282302,267624610,247142088,247100384,247053681,267589434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8590365, s2 = 10297536, dlinesl.size( ) = 88 s1 = 7152479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7152479, s2 = 5511873, int(edited[s2]) = 0 s1 = 7152479, s2 = 5511873, d1 = 17, d2 = 0 Dl.O(d1) = 263272897,195578594,202423362,208174719,212917898,265058257,215711304,265187825,224322507,265856159,229879402,228267474 Dl.O(d2) = 226756387,265027288,219533681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7152479, s2 = 5511873, dlinesl.size( ) = 16 s1 = 5030487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9588491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9588491, s2 = 7714241, int(edited[s2]) = 0 s1 = 9588491, s2 = 7714241, d1 = 0, d2 = 2 Dl.O(d1) = 208929132,264857365,220014403,216801920,212925539 Dl.O(d2) = 273493290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9588491, s2 = 7714241, dlinesl.size( ) = 2 s1 = 9588491, s2 = 7714241, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9588491, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8810612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8810612, s2 = 14723354, int(edited[s2]) = 0 s1 = 8810612, s2 = 14723354, d1 = 9, d2 = 19 Dl.O(d1) = 265059481,274217399 Dl.O(d2) = 193298484,184964114,263236822,164661241,272601776,126779791,112925294,98935875,85010246,71437325,58705750,47316722,268678694,21592534,15566116,10766710,7113744,4478918,4478914,4479459,4479222,4479221,2945092,1707964,1707966,1559114,1559111,2691332,4479383,6545987,6545988,9959860,14475553,20175514,27070682,35156654,44532897,55379130,67718936,78706143,65401362,53397689,42931109,33884395,26060022,19377863,13861160,13861161,14591671,14591670,20332112,25227427,25227428,32946265,41880156,52209421,64048160,77185283,77185282,271023377,119535816,119535817,119535818,105309654,91096112,270489550,64048159,259008095,105309655,119535820,133395232,146638720,159001356,170337413,180474556,189387293,197098239,203683519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8810612, s2 = 14723354, dlinesl.size( ) = 18 s1 = 9236034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9236034, s2 = 14159695, int(edited[s2]) = 0 s1 = 9236034, s2 = 14159695, d1 = 9, d2 = 10 Dl.O(d1) = 260648286,187769808,195732831,202548235,208274675,261861714,204165218,197664154,190028030,181173947,181114642,181114643,189977641,190028028,261992486 Dl.O(d2) = 262948402,187769808,262282928,202548235,263581898,261861714,260151952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9236034, s2 = 14159695, dlinesl.size( ) = 12 s1 = 8841452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7254417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7254417, s2 = 7999801, int(edited[s2]) = 0 s1 = 7254417, s2 = 7999801, d1 = 28, d2 = 40 Dl.O(d1) = 264602960 Dl.O(d2) = 262991594,261989690,260888738,258468056,257256264,25660893,25660894,33429242,26196700,19487268,13946363,9573358,9573359,9580886,6289010,3939217,2358154,1365410,777739,441324,441322,777641,1364286,2354463,3932868,3830609,3830614,6122302,9310550,9310548,13597147,19047452,25667575,19320621,13815398,13815393,19092964,13631334,9333992,9333988,9672399,14063904,14069676,19103727,13639636,13639634,9674278,9672457,9672459,14064006,13675837,9365446,9365448,9365659,13676205,19018092,19018094,19493849,19016544,13572289,9292538,6087373,3809694,3809691,6088856,3819035,2288010,1327427,254113959,430785,254148477,2288003,3819025,6103654,9317668,13607441,268029715,6122460,3830586,3830585,6122458,9347366,9298398,9298397,9290275,6085808,6085807,255272511,9899785,14393520,20075973,255681141,19072863,25698570,33471650,42465043,40367317,31672636,25709812,19082675,13624105,13624110,12656738,12656737,16248942,11296819,7500258,7500259,11296825,16248954,22413288,25134893,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,6085278,3807608,2280826,2280825,3807604,6085262,9289300,13442558,14397099,9902910,6508924,6508925,9902912,14397102,20079928,22431495,16264068,11307893,7507604,4745706,4745710,5583169,8592765,12656329,17872362,24249543,31761341,33213325,25752222,22029011,15927968,15927967,17754997,19144497,13669747,13669746,11051302,11051301,15927980,22029028,29359364,28939165,21660332,15624186,15624185,21660328,23601124,23601115,17288505,17288506,19075745,25701963,258427021,258943437,62530518,50926648,40807048,256062155,24481598,270963631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7254417, s2 = 7999801, dlinesl.size( ) = 20 s1 = 5225196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1745975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7181222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9576753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9576753, s2 = 6165276, int(edited[s2]) = 0 s1 = 9576753, s2 = 6165276, d1 = 57, d2 = 34 Dl.O(d1) = 117638768,131439545,144662476 Dl.O(d2) = 243037766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9576753, s2 = 6165276, dlinesl.size( ) = 2 s1 = 9576753, s2 = 6165276, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9576753, Dl.E( ) = 58, 1.88e-05 seconds used appending s1 = 5133629, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5033580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5033580, s2 = 5760283, int(edited[s2]) = 0 s1 = 5033580, s2 = 5760283, d1 = 0, d2 = 16 Dl.O(d1) = 208368419 Dl.O(d2) = 233635950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5033580, s2 = 5760283, dlinesl.size( ) = 2 s1 = 5033580, s2 = 5760283, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5033580, Dl.E( ) = 44, 2.19e-05 seconds used appending s1 = 5034087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5034871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5034958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5034958, s2 = 14076262, int(edited[s2]) = 0 s1 = 5034958, s2 = 14076262, d1 = 16, d2 = 41 Dl.O(d1) = 208594180 Dl.O(d2) = 22711851,30091513,22709972,16506072,11501963,7650833,4840713,4840714,7650834,11501964,16506073,22709975,30091519,34276125,26401139,26401140,255670941,18941852,25554812,33316797,38686469,38686470,42297409,45625723,45625724,46865027,36986525,28489646,21273346,15312112,10575278,6975634,6975633,10575276,15312106,268111026,28489611,36986482,46864996,56784697,45625767,255171802,31281663,39956565,49973200,61451104,69360544,60840676,257018674,42052492,52396545,268971316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5034958, s2 = 14076262, dlinesl.size( ) = 2 s1 = 5034958, s2 = 14076262, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5034958, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 5135277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9042652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8736969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8755427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5136717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7208937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5062989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5062989, s2 = 12824185, int(edited[s2]) = 0 s1 = 5062989, s2 = 12824185, d1 = 60, d2 = 128 Dl.O(d1) = 210546953 Dl.O(d2) = 12146053,17266556,23578289,22370074,16215408,11272160,7482691,7482690,8302385,8302386,12292725,16215392,16215394,22370049,29726658,23767036,255373708,25558107,25558108,31146895,31146894,39829001,39926865,31251423,268374796,49944511,61422446,74201000,87804501,101776966,115823238,129722316,143052946,261619936,167233534,177730426,187009561,195092238,202007240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5062989, s2 = 12824185, dlinesl.size( ) = 2 s1 = 5062989, s2 = 12824185, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5062989, Dl.E( ) = 132, 5.91e-05 seconds used appending s1 = 5138502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13760843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13760843, s2 = 8283538, int(edited[s2]) = 0 s1 = 13760843, s2 = 8283538, d1 = 16, d2 = 60 Dl.O(d1) = 195452303,202316580 Dl.O(d2) = 256946484,255090472,48447531,255468386,53593501,53593499,43164767,34081622,26221126,26221125,34081631,43164792,53674970,65730949,79086645,93201840,94183893,94183892,259225536,259189014,109095620,119217291,269664914,63850409,52034863,52034861,63854372,257971106,94866847,109132539,114764763,259633872,257765264,40525965,39069519,30477091,30477092,39069521,259439107,259775641,260250396,257765262,48993905,258191747,86740206,100715784,259838164,259838166,260944796,101340443,87353242,73734397,60970617 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9269112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7131648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8659414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8659414, s2 = 15141611, int(edited[s2]) = 0 s1 = 8659414, s2 = 15141611, d1 = 40, d2 = 25 Dl.O(d1) = 263702436,207211333,209045265 Dl.O(d2) = 264616262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8659414, s2 = 15141611, dlinesl.size( ) = 36 s1 = 5040891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5040891, s2 = 10359081, int(edited[s2]) = 0 s1 = 5040891, s2 = 10359081, d1 = 6, d2 = 6 Dl.O(d1) = 203498449,209047985,213602601,217332702,264720090,220439369,217332701,213602599,209047984,203498448,203498447,209047981,273848260,217332695,213602596,209047982,263085894,263085892,273525524,213602605,213602587,209047976,203498446,196871232,189127382,180185744,180185746,189127386,196871236,203498450,209047974,203498445,196871232,263085884,209047977,213602589,217332689,217332691,274181858,227334630,225355610,264720088,217332690,213602590,213602589,217332688,264720086,274181857,264720100,263846866,209048015,213602644,213602624,263846848,263085874,184489727,174879009,164061788,164061787,259286512,126090692,112235777,112235778,126090693,139460860,152184508,164061792,174879018,261638132,200100668,206186602,211215077,206260950,206260951,206260949,206260948,264170310,218773093,221635086,265166898,265360004,226224070,228079623,227090655,264355614,220034185,263342822,202497912,195671742,187692704,178537895,168177561,259024708,268741914,89036551,103107034,105092593,258397820,133114229,146340941,263330077,196930685,203550014,209085536,213628378,264355620,223092015,225366800,227343943,229072647,230597979,265638900,265444774,265056030,219159274,215819795,211782611,206841030,200860051,193772864,262374532,260757396,127523798,127523797,260160070,153554067,165344663,262374530,176036665,272914486,273715125,211782606,274019280,215819789,219159269,221978684,224400077,224400078,265444772,229942608,231369212,232647578,266512507,266540050 Dl.O(d2) = 203498449,209047985,213602601,217332702,264720090,220439369,217332701,213602599,209047984,203498448,203498447,209047981,273848260,217332695,213602596,209047982,263085894,263085892,273525524,213602605,213602587,209047976,203498446,196871232,189127382,180185744,180185746,189127386,196871236,203498450,209047974,203498445,196871232,263085884,209047977,213602589,217332689,217332691,274181858,227334630,225355610,264720088,217332690,213602590,213602589,217332688,264720086,274181857,264720100,263846866,209048015,213602644,213602624,263846848,263085874,184489727,174879009,164061788,164061787,259286512,126090692,112235777,112235778,126090693,139460860,152184508,164061792,174879018,261638132,200100668,206186602,211215077,206260950,206260951,206260949,206260948,264170310,218773093,221635086,265166898,265360004,226224070,228079623,227090655,264355614,220034185,263342822,202497912,195671742,187692704,178537895,168177561,259024708,268741914,89036551,103107034,105092593,258397820,133114229,146340941,263330077,196930685,203550014,209085536,213628378,264355620,223092015,225366800,227343943,229072647,230597979,265638900,265444774,265056030,219159274,215819795,211782611,206841030,200860051,193772864,262374532,260757396,127523798,127523797,260160070,153554067,165344663,262374530,176036665,272914486,273715125,211782606,274019280,215819789,219159269,221978684,224400077,224400078,265444772,229942608,231369212,232647578,266512507,266540050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5040891, s2 = 10359081, dlinesl.size( ) = 2 s1 = 5040891, s2 = 10359081, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5040891, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10180174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8760007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8760007, s2 = 5629620, int(edited[s2]) = 0 s1 = 8760007, s2 = 5629620, d1 = 94, d2 = 71 Dl.O(d1) = 21177740,15217660,10497142,10497145,10906932,7213565,7213564,8345461,12352169,17516419,18794790,13388130,13388131,18794793,25379552,33114778,35184520,256925975,29478528,22141298,16620011,16620013,22842761,22645979,255926921,21152492,15197649,10482336,6911065,4340450,4340449,6911063,10482331,15197638,21152475,28369340,21153136,15198095,10482551,10482552,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911014,10482227,15197449,17516715,21153912,15198653,15198657,21153925,22141333,28368526,29682355,22645981,22645980,21151261,268231210,31163866,23675399,17468585,15254636,10524135,10524136,15254643,21224566,23675300,23675301,31163785,39846195,36867045,36867044,39239053,30640936,23217577,23217576,23677023,21149779,15195949,15195948,21149777,23802081,17469106,12316007,12227354,12227352,17357158,23677338,31165538,30642202,25737623,19104614,19104613,25737621,33517164,268737814,64091593,262915475,264044195,209210720,213717816,213717820,265084886,197145975 Dl.O(d2) = 230138689,265739307,274416320,264254401,263589717,262293291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8760007, s2 = 5629620, dlinesl.size( ) = 68 s1 = 9527448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9527448, s2 = 16326127, int(edited[s2]) = 0 s1 = 9527448, s2 = 16326127, d1 = 46, d2 = 1 Dl.O(d1) = 32973473,41913339,41913345,32973476,32973477,41913346,257768975,41913341,52251151,64099648,64099649,64099650,52251154,41913349,257179711,41913346,52251153,52251154,41913347,41913348,257768977,64099652,77246084,91164461,105386581,119623044,261418625,146751113,159125665,170468895,180607509,189513302,197208773,203772939,209253157,264863751,220517037,223136286,225400239,227369107,229091497,230612714,231968163,230634547,230634548,231986776,233204926,234307072,235310254,236224806,236481156,237058763,236224799,236224798,237058760,237820469,274688976 Dl.O(d2) = 230634545,229117055,227399281,265152012,217488493,264149082,203838030,197279331,189590624,180692692,170560856,159222285,146848545,271283930,105476443,91254174,77334629,64187548,52337344,41998142,33054629,25325974,25325976,19220139,19220138,25879335,27987176,26619151,19809604,14189524,9754364,9754361,14189552,19809640,26619186,30110268,255110828,41998140,41998141,52337342,64187547,77334628,91254173,105476441,119715877,133590618,146848544,159222283,170560853,170560854,180692689,180692691,262623952,203838029,209313128,213803798,217488492,220561881,223175906,225435208,227399277,227399278,229117051,230634542,231986763,232418438,231121421,229674391,228043757,226185662,224051921,221591617,218725598,215327826,263168462,206183567,200097194,261195320,174874117,164056602,152179017,139455214,269348754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9527448, s2 = 16326127, dlinesl.size( ) = 8 s1 = 13809883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5142409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5234565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7234473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234473, s2 = 14333321, int(edited[s2]) = 0 s1 = 7234473, s2 = 14333321, d1 = 17, d2 = 19 Dl.O(d1) = 264352186,203839210,209314210 Dl.O(d2) = 196833198,189082659,180132542,169957711,158592814,146218788,132985793,119151010,119151009,104955101,90775592,258373309,51971862,41663930,32752683,25060604,18522004,18522003,255174286,41663926,268255302,65375587,78680546,78680548,92744050,92744068,92744069,92744071,257649576,65375600,65375599,78680559,92744062,99828043,99828042,113844243,99828038,85874015,85874016,99828039,99828035,98196726,269920612,46661553,36776193,28280197,28280196,36776192,46661552,58034326,70748640,62540580,269917243,89216509,98196721,84300387,70748620,70748619,84300385,75463705,62540577,62540576,75463703,89216507,89216476,89216477,75463676,75463675,75463668,75463669,62540587,50936663,40816888,40816867,32055906,32055905,40816864,50936621,50936622,62540535,75463659,73555229,60808843,49408564,49408559,39479175,39479174,39479190,256488939,30874460,39479179,256933871,38139356,38139357,38139358,48052658,59444137,72182279,85776433,99729984,99729993,260186587,89216495,75463691,75463681,62540555,258318413,89216483,103312069,117447867,131256585,127612378,117447873,103312077,89216487,89216486,103312074,271926481,144491272,144491277,259763840,99049438,85124504,71553696,58825667,47439016,47439015,58825666,58829598,47443584,37535576,256890099,58825669,58825670,71553698,85124505,85124514,71553712,58825680,58825679,71553710,59365509,47975075,38062959,29500042,22161162,22161161,29500040,38062956,47975074,59365508,72098648,59365497,59365496,47975065,255314174,61944437,50452964,268168348,61944437,254465806,41752913,33147940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234473, s2 = 14333321, dlinesl.size( ) = 20 s1 = 7276290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7276290, s2 = 4934182, int(edited[s2]) = 0 s1 = 7276290, s2 = 4934182, d1 = 7, d2 = 0 Dl.O(d1) = 264868567 Dl.O(d2) = 203844082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7276290, s2 = 4934182, dlinesl.size( ) = 2 s1 = 7276290, s2 = 4934182, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7276290, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 6770568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6770568, s2 = 7838589, int(edited[s2]) = 0 s1 = 6770568, s2 = 7838589, d1 = 35, d2 = 57 Dl.O(d1) = 258262562,18764661,18761435,18761436,25341551,33071315,42015260,263339427,264050929 Dl.O(d2) = 35388110,27262719,20328373,255762233,28027079,20859770,14958243,254706029,2535087,2535091,4236771,4236770,4721509,4236789,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249904,6770164,4243252,2537040,1461924,1461923,2537036,4243241,6770143,6791450,6771738,6771739,5588142,5588139,6819490,6779119,6779120,10307621,10346306,10301508,10301507,10305762,255362211,13319296,254875835,254875837,10304056,10304055,10591561,6986970,6822805,4280171,2559083,1473951,1473950,2559078,4280161,254712519,9314568,6101631,3817738,3817734,5981560,3740335,3740337,4460099,7084133,10306704,6832374,4286568,2562751,1475782,1475783,2562753,4286572,6832378,268373843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6770568, s2 = 7838589, dlinesl.size( ) = 28 s1 = 8797916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5144195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5144195, s2 = 7100127, int(edited[s2]) = 0 s1 = 5144195, s2 = 7100127, d1 = 47, d2 = 45 Dl.O(d1) = 223187072,220574080,217501805,213818282,264924198,197298285 Dl.O(d2) = 197298289,189611061,180714588,262579064 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9527733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5145214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13795013, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4936465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4936465, s2 = 7136663, int(edited[s2]) = 0 s1 = 4936465, s2 = 7136663, d1 = 2, d2 = 10 Dl.O(d1) = 203985112,209428245 Dl.O(d2) = 263083658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4936465, s2 = 7136663, dlinesl.size( ) = 2 s1 = 4936465, s2 = 7136663, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4936465, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 4816279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5237022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7157282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7209376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5047235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5047235, s2 = 4779198, int(edited[s2]) = 0 s1 = 5047235, s2 = 4779198, d1 = 13, d2 = 0 Dl.O(d1) = 209445901 Dl.O(d2) = 194867065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5047235, s2 = 4779198, dlinesl.size( ) = 34 s1 = 7211324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9473952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5047507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5047507, s2 = 6190770, int(edited[s2]) = 0 s1 = 5047507, s2 = 6190770, d1 = 7, d2 = 7 Dl.O(d1) = 209454011,213918183,217583400,220642407,223244570,225494899,265792875,230679295,232027704,233242206,234341553,235341755,236253625,237085526,237845458,266765843,239749790,240286230,240784363,241246242,241673739,242068754,242432593,242770376,243084836,243380242,243656527,243913048,244151829,267316916,244082659,243839960,243578556,243296841 Dl.O(d2) = 209454011,213918183,217583400,220642407,223244570,225494899,265792875,230679295,232027704,233242206,234341553,235341755,236253625,237085526,237845458,266765843,239749790,240286230,240784363,241246242,241673739,242068754,242432593,242770376,243084836,243380242,243656527,243913048,244151829,267316916,244082659,243839960,243578556,243296841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5047507, s2 = 6190770, dlinesl.size( ) = 2 s1 = 5047507, s2 = 6190770, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5047507, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5047606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8542816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8542816, s2 = 13669294, int(edited[s2]) = 0 s1 = 8542816, s2 = 13669294, d1 = 7, d2 = 22 Dl.O(d1) = 260634242 Dl.O(d2) = 225505858,227462921,265731264,274517502,233248787,266082796,265338958,264929704,214164521,209744187,204354412,197893582,264891537,264637990,204095184,197584623,189937889,181068938,181068937,179986936,169803797,158436440,146069704,146069705,158436442,169803801,163450542,163450541,262614199,151567724,151567725,163450541,151567728,138865373,138865374,151567731,163450540,151567724,138865371,125533070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8542816, s2 = 13669294, dlinesl.size( ) = 8 s1 = 7753035, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8761275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8761275, s2 = 5048452, int(edited[s2]) = 0 s1 = 8761275, s2 = 5048452, d1 = 62, d2 = 43 Dl.O(d1) = 260284836,31388423,31388424,40070878,38239311,29674426,22323534,16178331,11245084,7464266,7464267,11245087,258131381,259379397,260880465,147181306,159539911 Dl.O(d2) = 209478267 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7211639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7157858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7157858, s2 = 6149640, int(edited[s2]) = 0 s1 = 7157858, s2 = 6149640, d1 = 46, d2 = 37 Dl.O(d1) = 263354971,264064075 Dl.O(d2) = 242705011 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7127644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7283076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7283076, s2 = 11985883, int(edited[s2]) = 0 s1 = 7283076, s2 = 11985883, d1 = 22, d2 = 72 Dl.O(d1) = 264954114,209499941,209499940 Dl.O(d2) = 266059453,265535174,220678489,217622896,217622895,220678494,223277857,220678504,217622903,213961151,213961152,217622904,220678502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7283076, s2 = 11985883, dlinesl.size( ) = 36 s1 = 7127836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8815323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9561747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9561747, s2 = 15005936, int(edited[s2]) = 0 s1 = 9561747, s2 = 15005936, d1 = 22, d2 = 14 Dl.O(d1) = 205881811,205881813,199716022,192426453,192426452,273840045,205881812 Dl.O(d2) = 255878602,25726070,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,20105114,14415259,9914143,9914144,13562465,9285700,9285698,13562458,9356249,9356250,13662716,19134377,25774692,33564195,33701821,42731551,34000276,28327910,21117735,21117736,28327912,25712013,25712014,23374714,17105382,12019591,12019592,17105385,23374719,26151398,26151397,33992854,36823848,28328248,22835241,22835243,21118458,16614110,15171549,15171551,21118397,254931910,255678292,43888213,47809944,46664943,36779609,268067342,36871031,28374272,21157167,15201519,15201520,21157171,28374276,25363043,25363042,33096602,35080790,33992678,28373596,21156420,21156421,25895912,19235865,13743054,13743052,19235861,19604898,26333326,26333347,21993244,15895193,15895192,21993243,25895148,19235242,13742598,254656690,33701231,42731057,53180454,65165132,257214470,51898555,41598334,41598333,51898553,53720217,43208305,34121023,32742327,32742326,25052146,25052088,25052087,30918928,25052152,24295252,17912963,17250212,12131243,8161973,5232168,5232166,8161953,8161955,12131206,17250134,22394784,22394783,29755457,29672277,22321008,19537482,13989358,13989359,19537487,24295279,17912980,17912981,24295282,31042257,31043405,23560572,23560573,31043410,31810538,24295361,17913031,12690953,12690952,17913028,24295353,31810524,32742443,41652154,39719887,39719886,46661574,36776210,28280206,23416480,23416478,25052161,18515277,18515278,25052164,31043050,31043045,39720639,49738970,61217293,255806740,59996322,59996323,255491000,31043031,31043032,39719974,31042328,23559788,17249908,17249909,17249849,17249850,17249857,23559708,23560542,31043379,30112839,22732449,17249869,17249824,12131032,12131034,17249827,23559661,31042264,39719933,31693369,268689599,38688679,34121003,34121004,40386647,38237490,38237489,39720345,31043344,23560516,23560515,31043339,37762012,29200613,23371610,17102737,17102736,255981085,23559857,17249951,17249950,23559853,31042519,39720137,39401492,30798244,30798243,256498497,31042459,39720088,31693244,31693243,40386555,39719998,31042361,23559738,17249875,17249874,23559735,31042359,31042371,23559750,17249882,12131070,12131069,17249879,23559744,30798232,23371602,17102734,12017060,12017059,17102731,23371596,23371613,17102739,17102740,23371616,17816014,12613771,12131251,12131250,255545071,31043095,39720686,49739000,257627520,31043270,23560458,17250320,12131302,8161999,8161998,12131298,17102710,12017047,12017045,17102704,23371553,17250244,17250245,23560339,25683794,29006996,24184407,17815947,12613742,12613739,17815936,24184395,31692891,40386254,40035777,31355899,23862228,17518345,12353493,12353494,17518349,23862233,31355907,31693288,31693287,39401369,39401367,40386496,40386497,37596934,29049139,29049141,37596941,47500828,53349016,53349017,47001631,37783939,29222291,21906995,15825923,10967192,7259270,7259269,10967188,15825917,21906983,29222259,37783902,47704655,47001747,38269549,38269548,40386237,40386236,38269944,38269943,47001540,47001539,37115694,28606155,21372003,15391504,10637008,10637009,15391508,10637053,7021962,4416150,4416152,7016479,7016478,10629927,15382206,15391489,10637001,10637002,15391494,21371985,28606140,28606195,21372030,21372031,28606199,29703539,29703538,22607419,21906961,15825903,15825901,21906956,29222224,29703438,22349111,22349112,29703443,38269518,37596975,29049169,21755447,21755448,29049171,37596960,269323657,59102741,47704681,47704682,59102743,71841581,71479463,58750597,258074391,85050903,84341012,84341011,269788844,70782306,58064722,58064721,70782304,72299509,70782296,58064692,46691874,36808093,28311340,28311339,36808091,28311600,21101356,15157286,10453158,6890679,6890680,10453164,15157304,21101383,28311647,36808502,36808100,36808101,38269820,46692059,46691949,36808193,36808194,28919499,21644305,15611730,10801138,10801139,15611738,19365343,19365342,26044385,33866453,36808335,46692074,51055297,48179080,48179075,58064755,48348539,46691829,43928850,43928849,40285695,31600717,31600715,40285691,34655651,34655652,36808050,28311290,21101139,21101140,21101191,15157193,15157189,19849322,19849321,19848828,19848829,26663777,19848792,14220423,9776319,9776320,14220427,19848799,19849292,14220743,12025329,12025315,8084641,8084640,12025309,15611251,15611252,19849573,14220898,14220899,19849577,20260927,20260926,27183616,34656124,26664523,19849403,255730183,26664501,19849390,19849389,26664500,34656095,34656216,43929139,257007674,54671357,269614900,19849622,16836525,16836524,23091044,30505626,31356614,30505523,30505524,23862895,21023838,21023839,20991836,20991835,23862274,26664692,34656257,28218935,23862876,23862877,23090997,16836501,16836500,23090992,23091025,20991891,20991892,28172914,23862010,23862009,31355685,40035620,36648692,28173146,28173144,30505551,23090970,23090969,16891445,15078407,15078408,15971822,15971821,22077515,29408124,37714063 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5149896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5149896, s2 = 6903381, int(edited[s2]) = 0 s1 = 5149896, s2 = 6903381, d1 = 14, d2 = 15 Dl.O(d1) = 214013316 Dl.O(d2) = 259923136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5149896, s2 = 6903381, dlinesl.size( ) = 20 s1 = 5149964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4941955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5150535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5051864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5051864, s2 = 7062785, int(edited[s2]) = 0 s1 = 5051864, s2 = 7062785, d1 = 9, d2 = 10 Dl.O(d1) = 209619881 Dl.O(d2) = 262055082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5051864, s2 = 7062785, dlinesl.size( ) = 18 s1 = 7118317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8689858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8749484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9493476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7206249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7723589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7723589, s2 = 5242965, int(edited[s2]) = 0 s1 = 7723589, s2 = 5242965, d1 = 8, d2 = 3 Dl.O(d1) = 273737940,264667972 Dl.O(d2) = 217765267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7723589, s2 = 5242965, dlinesl.size( ) = 8 s1 = 10260910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8740723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8829092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8829092, s2 = 4025458, int(edited[s2]) = 0 s1 = 8829092, s2 = 4025458, d1 = 18, d2 = 1 Dl.O(d1) = 220540046,265087419,213779025,213779024,217465474,217773196,214138655,209712461,209712462,214138656,273442178,190259526 Dl.O(d2) = 147980454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8829092, s2 = 4025458, dlinesl.size( ) = 16 s1 = 7278268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7278268, s2 = 12859073, int(edited[s2]) = 0 s1 = 7278268, s2 = 12859073, d1 = 40, d2 = 76 Dl.O(d1) = 264891571,214165057 Dl.O(d2) = 141523138,154186604,165946095,176592579,186013992,176592577,165946094,165946093,176592575,186013989,194227246,201262798,201262799,194227247,186013991,176592577,165946094,165946093,176592575,176592578,176592579,186013992,176592577,165946094,165946093,176592575,176592578,176592579,183873456,174203337,174203336,183873453,192348981,199647209,205821447,206094638,199976712,192736923,263440824,174695778,163878283,261562488,125954850,112121474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7278268, s2 = 12859073, dlinesl.size( ) = 40 s1 = 8838112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7720006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13784191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5154015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8741397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5056891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7740407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7740407, s2 = 7726298, int(edited[s2]) = 0 s1 = 7740407, s2 = 7726298, d1 = 175, d2 = 171 Dl.O(d1) = 274161362 Dl.O(d2) = 273829218 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7726299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7726299, s2 = 7740408, int(edited[s2]) = 0 s1 = 7726299, s2 = 7740408, d1 = 107, d2 = 112 Dl.O(d1) = 273829219 Dl.O(d2) = 274161363 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5155739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13694925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3587965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7213944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7213944, s2 = 7497744, int(edited[s2]) = 0 s1 = 7213944, s2 = 7497744, d1 = 40, d2 = 51 Dl.O(d1) = 264103121 Dl.O(d2) = 267238459,267315149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7213944, s2 = 7497744, dlinesl.size( ) = 46 s1 = 5058117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5058117, s2 = 16097734, int(edited[s2]) = 0 s1 = 5058117, s2 = 16097734, d1 = 55, d2 = 83 Dl.O(d1) = 210269546 Dl.O(d2) = 111674029,97755421,83898591,270789039,70373941,57681868,46334873,36479093,256218810,268174980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5058117, s2 = 16097734, dlinesl.size( ) = 18 s1 = 7214065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7214065, s2 = 5885342, int(edited[s2]) = 0 s1 = 7214065, s2 = 5885342, d1 = 57, d2 = 71 Dl.O(d1) = 264104660,210286270 Dl.O(d2) = 185928982,194150176,264230055,264768999,216006147,219316509,222113728,224516886,226605264,228425498,230025062,231443772,232714619,233863073,234909121,266517683,236729438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7214065, s2 = 5885342, dlinesl.size( ) = 20 s1 = 5058799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5157173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5157173, s2 = 7259019, int(edited[s2]) = 0 s1 = 5157173, s2 = 7259019, d1 = 2, d2 = 1 Dl.O(d1) = 214640455 Dl.O(d2) = 210370523,264667973,273737941,142516116,260681373,101129191,87130956,73512165,60762984,257030181,257030183,60485730,73232640,84330835,272522821,192875961,264714811,218719705,265355815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5157173, s2 = 7259019, dlinesl.size( ) = 12 s1 = 8718505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5157305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5157305, s2 = 8480221, int(edited[s2]) = 0 s1 = 5157305, s2 = 8480221, d1 = 9, d2 = 19 Dl.O(d1) = 214643274 Dl.O(d2) = 93329642,93329643,107757381,122167649,261456190,107757388,260294502,93329630,79198573,79198574,93329634,107757375,107757396,93329657,79198594,79198595,93329659,93329663,107757400,122167647,107757383,93329640,93329641,260352957,260294504,65836593,65836574,65836573,257809172,43260585,53776445,65836575,79198585,93329647,107757373,259679238,65836597,65836596,79198585,93329647,93329632,93329634,107757375,107757396,93329657,79198594,79198595,93329659,79198604,259103947,93329640,93329641,260352959,107757392,122167654,122167645,107757378,93329637,93329636,93329631,79198573,79198574,93329634,107757375,107757396,93329657,79198594,79198595,93329659,93329663,107757400,122167647,107757383,93329640,93329641,260352959,93329651,79198590,65836594,53776454,43260590,43260591,53776456,65836599,79198608,79198586,65836580,65836581,79198580,65836570,65836571,79198582,93329643,107757381,122167648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5157305, s2 = 8480221, dlinesl.size( ) = 2 s1 = 5157305, s2 = 8480221, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5157305, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 7214293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7214293, s2 = 7482373, int(edited[s2]) = 0 s1 = 7214293, s2 = 7482373, d1 = 22, d2 = 27 Dl.O(d1) = 264108697 Dl.O(d2) = 267089021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7214293, s2 = 7482373, dlinesl.size( ) = 2 s1 = 7214293, s2 = 7482373, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7214293, Dl.E( ) = 42, 1.31e-05 seconds used appending s1 = 8742163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8742163, s2 = 4729900, int(edited[s2]) = 0 s1 = 8742163, s2 = 4729900, d1 = 14, d2 = 16 Dl.O(d1) = 182807839,273666219,205206648,210422179,214682581,218185041,221124187,223638562,225816460,227715480,229381593 Dl.O(d2) = 226230930,224099566,221642450,221642451,224099569,265695053,226230952,265695057,229714077,231158453,232453253,232453251,265974501,265841225,265536273,221642460,218781235,218781234,221642464,224099586,265695055,229714075,265695051,224099568,224099569,265695053,226230952,265695057,229714077,231158453,232453253,232453251,265974501,265841225,265536273,221642460,218781235,274086551,206272276,206272275,211291536,215392599,218781230,221642457,224099578,221642476,221642475,224099596,226230950,228086248,265536271,221642459,221642458,224099579,226230938,226230937,228086247,274507553,228086244,228086245,229714075,265695051,224099568,224099569,265695053,226230952,265695057,229714077,231158453,232453253,232453251,265974501,265841225,265536273,221642460,218781231,215392604,211291540,211291538,215392603,218781236,221642467,224099588,224099597,221642476,221642475,224099596,226230950,228086248,265536271,221642459,218781235,265167721,221642473,221642474,224099587,221642470,221642471,224099593,226230946,224099599,265167723,218781243,221642477,224099581,221642459,218781235,274086551,206272276,200201376,193012406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8742163, s2 = 4729900, dlinesl.size( ) = 2 s1 = 8742163, s2 = 4729900, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8742163, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 5060442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5158826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9719750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4040140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4040140, s2 = 11948753, int(edited[s2]) = 0 s1 = 4040140, s2 = 11948753, d1 = 9, d2 = 9 Dl.O(d1) = 149863962,162077750,173179965,272768706,205318129,199053117,191646780,191646781,199053119,205318134,210504911,214742777,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504899,210504896,264674207,218230732,218230729,214742758,210504893,205318123,205318122,210504890,210504883,205318115,263419194,205318167,205318129,199053117,191646780,191646781,199053115,191646776,183033984,262558700,191646774,191646773,191646784,191646778,183033985,183033986,263419190,205318126,210504897,214742762,264913334,218230750,218230751,221161428,264674210,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504899,210504896,210504895,214742760,214742790,214742789,210504937,210504938,214742802,218230762,265129470,214742771,210504905,205318133,199053118,199053119,205318134,210504911,214742777,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504898,210504897,214742762,218230735,221161417,221161423,218230745,214742774,210504906 Dl.O(d2) = 149863962,162077750,173179965,272768706,205318129,199053117,191646780,191646781,199053119,205318134,210504911,214742777,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504899,210504896,264674207,218230732,218230729,214742758,210504893,205318123,205318122,210504890,210504883,205318115,263419194,205318167,205318129,199053117,191646780,191646781,199053115,191646776,183033984,262558700,191646774,191646773,191646784,191646778,183033985,183033986,263419190,205318126,210504897,214742762,264913334,218230750,218230751,221161428,264674210,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504899,210504896,210504895,214742760,214742790,214742789,210504937,210504938,214742802,218230762,265129470,214742771,210504905,205318133,199053118,199053119,205318134,210504911,214742777,218230749,221161426,218230754,214742781,210504916,205318140,199053121,199053123,205318142,210504919,214742764,210504898,210504897,214742762,218230735,221161417,221161423,218230745,214742774,210504906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4040140, s2 = 11948753, dlinesl.size( ) = 2 s1 = 4040140, s2 = 11948753, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4040140, Dl.E( ) = 10, 7.15e-06 seconds used appending s1 = 5061953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13867595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8819208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9607000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9607000, s2 = 14165391, int(edited[s2]) = 0 s1 = 9607000, s2 = 14165391, d1 = 9, d2 = 7 Dl.O(d1) = 255092929,255911509,22421423,16255905,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,16254710,17472331,22420984,20975137,17473875,17473872,23806952,22355348,16203844,12298031,12298030,12318591,267909731,3300780,3300781,5369120,8320673,12318604,16256174,11302079,11302078,16256169,22421686,23806394,17473882,12319496,8321200,5369408,5369410,8321204,12319502,17473888,17473656,12319313,8321100,5369352,3300894,3300893,5369347,8321089,12319291,17473625,23806718,24521921,18090449,12825353,8719760,8719762,11626685,16659136,22887888,30285748,38871628,48794096,60190848,68079557,68079556,81569410,95602966,109805352,123941827,137620370,141731237,141731236,149860262,261807558,183030985,191644093,199050754,205315908,210502850,214740851,218229053,221160049,223669767,223737811,264995730,214849660,210632297,205470224,199230245,273551256,262725694,162431268,150295772,137255760,123525382,109333855,95079141,81020182,67550626,55206947,44356394,34978711 Dl.O(d2) = 15996573,15996574,22107946,29441363,38004295,47919983,59313450,72048439,85636179,99586403,113601836,127476362,140834803,153513936,165307899,176002287,185475960,176343696,165676234,153900162,141228393,127869406,113991235,99967851,86008498,72411869,59676499,48289475,38378772,38378771,48289473,48289477,48289478,48289486,38378780,29806946,22440593,16272692,11315138,7513024,4749341,2862280,1661211,945175,533089,533088,945173,1661208,2862274,3068422,1788752,1788753,2743204,1589810,903798,509727,509729,285752,285754,509761,903836,914331,516003,516004,914310,516943,516941,916154,970074,1706588,2942827,2699882,2699883,254348167,2785546,254358955,2888092,1888218,1077375,605120,605121,1077379,1888226,3221811,4575022,3263472,3263473,2752618,1595693,1595692,1086717,1086714,1884293,1884292,3216279,4733725,4513412,3227453,3227451,2761396,1600779,910157,513444,287992,287991,513439,910144,531750,531748,942800,942817,942719,942280,942279,1085140,1869155,1066247,1066245,599332,599334,1066260,1869194,1895019,3231293,5277504,8206649,8207260,5278212,3231980,1895555,1895556,3231981,3225358,3225359,3241255,1901881,1085626,609622,609627,601325,334927,184197,184192,334917,601305,1070004,1875630,3203125,3201840,1874682,1069419,601003,334766,184119,100874,100873,184117,334763,518364,290730,160891,160893,290740,518390,919213,919712,518653,290869,160962,88520,48679,48678,88519,160959,290859,518631,919640,919641,1616825,2787077,1879514,1072269,602493,602491,1072267,1610079,2775561,4609977,5282557,3235760,3235758,4612398,4612399,2783983,1614807,1614809,2783685,4608652,4608651,7300277,5235417,3195626,3195624,254578599,8147648,5219606,3184021,1863411,1063151,1063153,1863416,3184031,3210101,5219782,8147846,7825982,4967268,4967135,3000062,3000061,3000093,3183666,3183668,5219007,7825028,7825027,7511476,7312853,7312854,7302163,7302160,8176261,5245883,3204249,1876328,1070402,1070403,1876334,1863736,1863737,3184634,4964697,4964700,4964693,4964692,5861578,5307552,3257734,3257735,4611312,4611313,5224809,254577667,12121836,12165881,17286871,23599419,31083246,39761193,49779994,59689684,48303083,48303084,59550899,59550905,48164321,38255028,38255027,48164318,59550902,59550912,72285087,72424993,258132477,59550913,72285094,259359974,72285095,258755619,59550908,59550909,72285091,85877132,99830993,113846968,112653214,101184350,87187059,87187058,98657545,112653218,112653213,258052290,84609154,71045370,58329922,256322458,255401278,28577325,21348280,21348279,15420836,15420837,21409170,28651854,37169048,47060711,37169046,37169047,47060712,58436110,71158003,74712127,61918829,50428866,40395451,31703299,31703298,40395449,256465034,88340000,258821492,98657535,84727922,71158000,71158001,84727923,257590252,74712124,74712125,88340003,102336485,258311414,91781019,91781020,105714567,91491047,91491048,105714568,118798520,118798521,269912540,105975424,105975433,91781022,77858463,64668583,52753594,52753595,64668584,270529755,270799621,84324002,259275477,259894765,259275475,84323999,271294927,120175678,112209652,270799623,70764776,58045934,46670813,36784737,28288344,28288343,36784735,28854809,21582215,15558326,15558325,21582213,28854806,256879479,58695445,52753597,42354209,42354210,42354215,33365489,25601075,18989003,13550091,9276105,6076073,3822638,2290277,2290278,3822641,254659029,254670842,3820886,3820885,3820884,3801754,2277177,1320555,1320556,2277178,3801757,6076096,9276150,13550179,18989140,14555066,10015112,10015111,14555064,13550124,9276127,6076088,3801752,2277174,254655675,255674727,33365525,33599000,25802017,19155633,13678441,13678442,18989020,19144462,13669723,254661267,3836037,6131489,6076101,6076100,9276158,13550191,17529950,12363760,12363762,17529954,12652027,8590188,5581807,3463293,2053972,1178493,661767,366948,366949,661772,1178508,2054009,3463421,5582066,8590653,8593303,5583622,5583624,8593024,12656760,17872942,24250234,24242398,24242399,31754153,40449149,256360795,29168976,256902577,42354220,42354221,40449148,33365574,33365573,38255042,29689767,22337075,16189275,11253281,7470125,7470126,11253283,16189279,268403809,29689775,38255053,48164348,257522941,38255041,29689774,22337079,16189277,16189276,22337077,29689770,38255046,48164338,38255044,38255043,48164335,48164343,59550926,59550925,258755623,99831003,113846974,259380563,72285098,72285099,259380565,99831010,85877141,72285107,59550931,59550930,72285106,85136318,99060571,113047946,260598707,99831013,85877145,85877146,99831016,113846988,127523053,127523054,261140480,113651820,99638530,85689608,72103751,72103752,59371080,47980827,47980828,256891091,28999856,28999855,28999854,21714746,15671699,10849292,7172500,7172501,10849295,15671704,11139508,7388639,7388640,11139511,16042994,255889891,22165412,22165411,29505253,38068632,47453285,47453286,58839226,48859109,38939675,38939676,47453283,48859110,58839223,58839224,48859114,38939679,30353604,30353605,38939681,47980831,59371085,72103757,73060958,73060951,73060952,86666364,73060956,73060955,259434225,114576387,100545684,100545683,114576384,128460428,141813280,128582296,128582297,141943439,141813271,128460415,128460413,141813269,141813278,128460423,128460422,141813277,154459407,166193702,176811744,186205402,263522656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9607000, s2 = 14165391, dlinesl.size( ) = 2 s1 = 9607000, s2 = 14165391, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9607000, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 7132209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7104668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7104668, s2 = 3348669, int(edited[s2]) = 0 s1 = 7104668, s2 = 3348669, d1 = 1, d2 = 9 Dl.O(d1) = 262641892,150333455,137291926,123560031,123560032,137291927,150333456,162468348,173507633,263431171,199250690,205488109,210648473 Dl.O(d2) = 183309522,191879050,199250663,191879073,183309539,173507637,162468352,261637406,123560036,123560037,261550245,150333459,162468350,173507635,183309534,191879069,199250692,205488079,199250658,191879044,191879045,199250652,191879040,191879039,199250649,264419525,205488090,199250670,199250668,199250682,191879062,191879060,199250679,205488103,205488108,205488109,210648473,214864499,210648463,210648462,214864497,265136399,274086188,205488106,263846328,191879065,199250688,273976276,263485850,173507636,162468352,261637406,123560036,123560037,137291933,150333457,150333456,162468348,173507633,183309532,191879065,199250687,205488105,205488104,199250686,191879064,191879063,199250683,205488081,205488082,205488072,205488073,210648462,214864497,265136399,274086188,205488106,264419527,214864504,264459442,205488097,205488096,210648467,214864502,215379961,215379960,218333654,214864493,210648458,205488068,205488067,210648457,214864492,214864501,210648466,205488095,199250675,191879057,191879036,183309515,173507616,173507615,183309511,191879034,199250642,191879074,183309539,173507637,162468352,261637406,123560036,123560037,261550245,150333459,162468350,173507635,183309534,191879069,199250692,205488079,199250658,191879044,183309520,173507619,262157624,150333451,162468339,273698844,205488077,263846324,183309528,173507626,162468345,150333455,137291926,137291925,150333452,162468341,162468336,150333450,150333451,162468339,263024637,191879053,199250667,205488065,199250643,199250642,191879074,183309539,173507637,162468352,261637406,123560036,123560037,261550245,150333459,162468350,173507635,183309534,191879069,199250692,205488079,199250658,191879044,183309520,173507619,262157624,150333451,162468339,273698844,205488077,263846324,183309528,173507626,162468345,150333455,137291926,123560031,109368820,269775358,38815001,269358103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7104668, s2 = 3348669, dlinesl.size( ) = 2 s1 = 7104668, s2 = 3348669, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7104668, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 5163410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5163410, s2 = 4047989, int(edited[s2]) = 0 s1 = 5163410, s2 = 4047989, d1 = 18, d2 = 3 Dl.O(d1) = 214879932 Dl.O(d2) = 150365317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5163410, s2 = 4047989, dlinesl.size( ) = 24 s1 = 5065724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7215744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5163736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7239206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280427, s2 = 8192285, int(edited[s2]) = 0 s1 = 7280427, s2 = 8192285, d1 = 9, d2 = 14 Dl.O(d1) = 264923313 Dl.O(d2) = 48697408,38775142,38775141,48697406,60093581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280427, s2 = 8192285, dlinesl.size( ) = 2 s1 = 7280427, s2 = 8192285, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7280427, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 7692276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7229579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8856832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8856832, s2 = 6085736, int(edited[s2]) = 0 s1 = 8856832, s2 = 6085736, d1 = 83, d2 = 141 Dl.O(d1) = 259790849,123661021,137392256,272780445,173591429 Dl.O(d2) = 241759030,274931979,267339347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8856832, s2 = 6085736, dlinesl.size( ) = 100 s1 = 13841671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9485324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9578734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9578734, s2 = 11399633, int(edited[s2]) = 0 s1 = 9578734, s2 = 11399633, d1 = 1, d2 = 1 Dl.O(d1) = 85514896,99460826,113470960,259413768,153377551,165181741,175891518,185383312,193666587,193666581,185383306,175891515,175891516,185383308,262744230,206760334,206760336,206760335 Dl.O(d2) = 85514896,99460826,113470960,259413768,153377551,165181741,175891518,185383312,193666587,193666581,185383306,175891515,175891516,185383308,262744230,206760334,206760336,206760335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9578734, s2 = 11399633, dlinesl.size( ) = 2 s1 = 9578734, s2 = 11399633, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9578734, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5069484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5067726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5069930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5069930, s2 = 11567460, int(edited[s2]) = 0 s1 = 5069930, s2 = 11567460, d1 = 55, d2 = 51 Dl.O(d1) = 210779669,264574206 Dl.O(d2) = 274756810,236073001,266615021,236072999,274732005,237695514,237695515,266687000,236922357,266752512,236072998,235139051,234112093,232983141,231735952,230347827,228786128,265902059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5069930, s2 = 11567460, dlinesl.size( ) = 42 s1 = 5070337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5168301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13682485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7045995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5073592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14752308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14752308, s2 = 8766175, int(edited[s2]) = 0 s1 = 14752308, s2 = 8766175, d1 = 0, d2 = 3 Dl.O(d1) = 215151391 Dl.O(d2) = 215151389,210984039,205884708,199719191,192430221,264151841,265154215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14752308, s2 = 8766175, dlinesl.size( ) = 2 s1 = 14752308, s2 = 8766175, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14752308, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 8871880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8672770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7310388, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9506904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9569302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359925, s2 = 8766545, int(edited[s2]) = 0 s1 = 10359925, s2 = 8766545, d1 = 41, d2 = 19 Dl.O(d1) = 227983566,226121179,265351743,265351741,226121178,226121132,223982836,221514601,218634349,215212138 Dl.O(d2) = 221514569,223982847,265158131,215212105,211057410,205973758,199825073,192550934,263068215,262136937,139028480,260483523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359925, s2 = 8766545, dlinesl.size( ) = 2 s1 = 10359925, s2 = 8766545, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10359925, Dl.E( ) = 42, 1.6e-05 seconds used appending s1 = 9550394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8785614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5077052, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8812472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8812472, s2 = 5345010, int(edited[s2]) = 0 s1 = 8812472, s2 = 5345010, d1 = 57, d2 = 69 Dl.O(d1) = 211156953,265161729,221572634,224036660,221572638 Dl.O(d2) = 264590876,206101073,199984033,263283930,174712880,174712881,184329988,192745707,199984044,206101079,211156925,206101094,264453051,211156946,206101071,264713785,218700345,274298232,265355055,274366928,265530899,224036684,221572653,218700329,218700330,218700339,218700340,221572664,265355053,226173004,265770320,226172997,224036670,224036671,224036685,221572654,218700339,215291391,211156965,206101070,199984031,199984030,264453045,215291386,218700335,221572659,224036686,226173003,228032796,229664656,231112929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8812472, s2 = 5345010, dlinesl.size( ) = 2 s1 = 8812472, s2 = 5345010, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8812472, Dl.E( ) = 70, 1.72e-05 seconds used appending s1 = 7174426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7174426, s2 = 11379492, int(edited[s2]) = 0 s1 = 7174426, s2 = 11379492, d1 = 10, d2 = 8 Dl.O(d1) = 263577138 Dl.O(d2) = 263537812,195100477,187020084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7174426, s2 = 11379492, dlinesl.size( ) = 6 s1 = 9258245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9258245, s2 = 14099103, int(edited[s2]) = 0 s1 = 9258245, s2 = 14099103, d1 = 6, d2 = 4 Dl.O(d1) = 184339952,192754944,199992606,206108734,211164004,215297817,218705907,221577363,221577364,224040681,226176317,228035621,229667215,231115193,231054606,229597776,227958684,265525093,218587665,264705009,199728830,192441162,263464483,163467113,151584221,151584220,138881803,260474477,97821355,83962424,70436238,57741814,46391600,36531209,255789471,14990285,10321408,10321407,10359082,10321417,10321416,10393890,13278694,13299420,13291780,9074611,5934440,3710651,2222097,2222099,3710659,5934452,5939996,9081999,13300362,13300369,13300368,18693371,25264827,32988309,41928737,52267524,64116493,77263471,78695293,92758763,107099752,271875582,78695295,78695294,65390902,60050232,256978245,38732887,42921441,53387557,257158844,64681344,52766388,42366779,42366780,52766390,64681346 Dl.O(d2) = 91793829,91793830,105988497,120189022,105988498,105988499,120189025,134022434,147239245,159594417,159594418,159594419,170918868,170918867,181033895,189908197,192097485,197560194,197560196,189908199,181033896,181033897,189908200,192097486,183563428,183563427,173809252,162834324,150778841,137835380,137835381,150778843,162834328,173809258,183563430,192097487,199443455,205660426,210804048,263785352,192110060,183579146,173830309,162863613,150820262,137894125,124277555,110176429,258499194,81934390,95982336,103735487,111008751,96975139,83037728,69509023,56911519,45722023,45177407,35653392,27454005,255734304,10153688,6669461,4176435,2496560,2495463,1440578,818199,818202,1440661,2495694,1449091,1449086,2513550,4202729,6707059,10207041,255353457,27813799,36202261,257083982,31532433,255189540,17679987,13967489,9590836,9387540,9387541,13705889,10636986,7021927,4416128,2648684,1531266,1531265,2648682,4416122,7021914,8755499,5700468,3547089,3547090,5700470,8470844,5475529,5475530,8470846,12504730,17681866,24032889,268684497,8908536,5813446,3626406,2165771,2165770,254434223,8908514,8908584,8908583,13073362,8908591,5813480,5813479,8908588,13073365,18405602,21311776,27104097,255870984,255570726,255180798,63407118,257075416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9258245, s2 = 14099103, dlinesl.size( ) = 2 s1 = 9258245, s2 = 14099103, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9258245, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8746700, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9544521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4972382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8832550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9575918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7283186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660586, s2 = 7263623, int(edited[s2]) = 0 s1 = 11660586, s2 = 7263623, d1 = 2, d2 = 4 Dl.O(d1) = 264539669 Dl.O(d2) = 264722739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660586, s2 = 7263623, dlinesl.size( ) = 2 s1 = 11660586, s2 = 7263623, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660586, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7263622, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13177639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9707854, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7240224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7240224, s2 = 6750203, int(edited[s2]) = 0 s1 = 7240224, s2 = 6750203, d1 = 29, d2 = 39 Dl.O(d1) = 264432911 Dl.O(d2) = 133812403,260059278,98691273,84764256,259917054,47096849,47096847,47096865,37200916,28678104,21429586,15436540,10671706,7048435,4436270,4436269,7048433,10671702,15436532,21429575,21429584,15436537,15436538,15436535,15436536,21429582,21429572,255035495,255035493,255834809,37200905,47096841,268920029,28678098,28678097,37200910,37200909,47096852,47243807,47243806,58637413,58637415,47243811,37333914,37333915,257456083,58474638,71195988,84764224,71195996,71195997,58637417,47243814,47243815,258066991,84950458,98876424,86473094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7240224, s2 = 6750203, dlinesl.size( ) = 12 s1 = 10255339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5083063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7127677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13718979, s2 = 15815214, int(edited[s2]) = 0 s1 = 13718979, s2 = 15815214, d1 = 11, d2 = 8 Dl.O(d1) = 152535929,164398648,175186397,184759212,193117493,193117494,200289870,206346826,211355258,215449656,218834064,221692995,224147958,226276955,228129978,274552461,232492986,266317649,235697455,236579566,237383105,238113400,238777965,239388563,239951813,240474040,240958851,241407894 Dl.O(d2) = 241458574,241013923,240533587,240533586,240016109,239457950,238854102,238197130,237475848,237475849,236681683,235810394,234853440,233802692,232647561,231369197,229942595,228334878,226502998,224400028,221978580,219159088,215819602,211782435,206840877,263893027,185507711,176036578,165344591,262225993,140878957,127523680,113652455,99639234,85690383,258741593,59371922,59371921,72104572,259366513,113652461,116126642,102068349,88081797,74469297,61686024,50202916,40179595,40179594,40467613,40467612,50503514,61995271,74791710,88423931,102425326,116522282,130360581,143687315,156218090,167812947,160328071,261470992,134960097,121150190,106882153,92562682,78515856,269526572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13718979, s2 = 15815214, dlinesl.size( ) = 2 s1 = 13718979, s2 = 15815214, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13718979, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 5084104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15074891, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7732339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9566680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7220726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7220726, s2 = 11606768, int(edited[s2]) = 0 s1 = 7220726, s2 = 11606768, d1 = 33, d2 = 40 Dl.O(d1) = 264185211,211432536 Dl.O(d2) = 266902324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7220726, s2 = 11606768, dlinesl.size( ) = 32 s1 = 5133515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5183263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5183573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5183573, s2 = 9825470, int(edited[s2]) = 0 s1 = 5183573, s2 = 9825470, d1 = 35, d2 = 70 Dl.O(d1) = 215559297 Dl.O(d2) = 61820933,74612768,88243228,270000426,61820943,73214665,60467676,49064108,49064109,60467678,73214669,61820928,50337745,40311855,40311854,50337742,61820923,74612760,88243218,74612758,74612756,88035581,74723061,74485031,61702078,50220362,42277452,269020598,38034702,38034701,47948333,59339833,53207985,42758449,42758450,53207989,65193462,71889435,59151749,256138438,37830754,47753174,59151745,71889428,61820932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 9269374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360125, s2 = 7162187, int(edited[s2]) = 0 s1 = 10360125, s2 = 7162187, d1 = 9, d2 = 13 Dl.O(d1) = 225916532 Dl.O(d2) = 263432111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360125, s2 = 7162187, dlinesl.size( ) = 20 s1 = 7162186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7162186, s2 = 10360124, int(edited[s2]) = 0 s1 = 7162186, s2 = 10360124, d1 = 80, d2 = 71 Dl.O(d1) = 263432110 Dl.O(d2) = 229461655 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5184454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5184536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8829282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8640500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8748353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5185135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10230088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8700247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8700247, s2 = 10258870, int(edited[s2]) = 0 s1 = 8700247, s2 = 10258870, d1 = 23, d2 = 25 Dl.O(d1) = 175492177,175492176,164739419,164739418,175492174,175492167,164739415,262670130,113020695,99032809,99032808,113020693,113020698,272189705,152908936,164739428,273532882,262670128,261125837,152908922,164739411,175492161 Dl.O(d2) = 185031815,193361713,200510255,202168790,271767072,256531907,31470464,31470477,23974506,17626611,12446897,8415307,254405609,3338484,254598915,10438016,10438015,12463186,12459676,8431874,8427979,8427980,8427953,5440372,3344380,3344382,5440377,8427956,12459343,17633269,12460459,12440023,12440022,12443882,12443883,8434120,8434122,8443978,5452924,3352208,3352207,5452922,3352211,3352212,5452932,5450302,5450303,8422462,6036585,5424083,5424084,8405788,5425661,5425660,5454817,3353498,3353385,1971382,1125581,631243,350468,192043,192044,350473,631251,1124488,1124486,1969183,3349267,5448195,5428251,5428252,5438398,5438397,8425380,254602053,5458095,8429841,5441890,3345372,1967081,1967082,3345374,5441892,8411855,5428428,5428429,5446146,5446144,8435298,8435299,267999861,5429248,5429247,8231723,8231724,12200687,12472166,17641119,268000525,5445290,5445289,8434334,8412735,5429060,5093072,5093073,8000480,8412698,8412699,8440491,8440493,8437681,8437680,5456613,5429088,3346595,3346597,5443833,5456207,4718822,4718824,5424499,3334656,3334657,5424506,8406389,5425671,3335361,1964195,1964196,3340169,5427381,3338105,1970926,1970930,3352565,5441905,3352070,3352073,5452692,5428423,5426220,3335682,3335681,3345242,5441250,3344955,1966868,1966869,1966883,1966834,1123299,1123298,1966831,3344876,5441121,5441214,3344935,3344933,5441209,5441473,5441474,7474335,11258978,8426313,8426312,8446688,8445189,6978549,6978548,10578949,255393681,22033678,22033679,21289449,255823521,31082923,23599057,17286504,255547587,17261802,268250039,21490565,15484915,10707918,10707917,15484913,21490561,28749994,37284310,38776286,255938731,16585057,16585056,16589365,16589367,22459519,26950690,30687693,23271297,17008914,11922774,11922773,17008913,20075850,26959512,21462706,15462170,15462171,10880249,10880248,14357918,255323521,26928383,22550221,16373758,11395225,7571271,4788274,2886155,254536567,4519705,4519706,4972382,3003317,3003316,4972378,7833287,11732627,16780034,16376873,11397647,7573119,7573120,11397654,7913862,7913864,9886544,9892011,12144669,8174382,5243916,3202508,3202509,5243918,8174390,7571266,7571268,255098107,21787600,256344253,21662179,16014952,16014951,14370857,9876812,9876809,9888608,9872092,6485331,6485330,6499812,6485304,6485305,9872043,14365366,10472322,7697646,7697647,9891356,7699882,7699881,8309133,8309246,5361493,3295938,1938500,1107283,621356,621359,1107291,1938517,3295969,4788276,2886156,1675075,953051,537408,301320,301321,537411,953058,1675089,254358611,6493288,6493289,9880282,254469417,254469419,6498362,4071930,2436510,2436512,4071939,6498381,7145107,4499115,2703439,1566531,1566532,2703444,4499135,2703731,2703727,4063292,4063290,2439606,1410520,1410521,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454035,255915,255914,454030,801249,1408291,2435186,4069582,6494595,9884621,14378614,20062762,14387859,9893560,6501396,4073854,4073856,6501402,9891091,9893570,14387869,14392560,14369870,9875768,6487826,6487828,9874436,6487975,4065367,4065368,6487978,4539875,4539874,7205839,7699284,4872888,4872887,4875415,4072765,2437022,1409193,801706,801708,1409197,2437030,4072788,6499716,9891410,7198277,7198275,10813397,254749896,6493461,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,1579165,897796,897798,897785,897787,1579142,2725021,2725019,4053367,4053362,4536380,2726969,1579983,898193,506713,506716,898213,1580022,2726952,2726947,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,284096,156959,86219,86220,156963,284110,506630,898037,254341221,4533833,7196485,6506899,6506900,9900156,14375508,14375507,20060048,26945360,35026226,36793554,28296574,28296575,36793555,46679610,257459282,41411132,32552423,24902434,18399007,13068573,8905276,5811110,5811111,254900325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8700247, s2 = 10258870, dlinesl.size( ) = 16 s1 = 5185858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4985194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5090390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8878218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8878218, s2 = 5090820, int(edited[s2]) = 0 s1 = 8878218, s2 = 5090820, d1 = 6, d2 = 6 Dl.O(d1) = 231287113,229851715,229851716,228235552,226395255,226395256,226395254,226395253,228235550,228235557,226395264,265708101,226395257,226395258,226395255,226395256,226395252,224282258,224282259,224282265,221846121,221846120,224282263,226395263,228235555,228235543,228235542,226395261,224282262,224282263,226395262,265853521,228235547,226395249,224282255,224282254,226395247,226395261,226395260,226395249,224282255,221846116,219006774,215643557,211575024 Dl.O(d2) = 231287113,229851715,229851716,228235552,226395255,226395256,226395254,226395253,228235550,228235557,226395264,265708101,226395257,226395258,226395255,226395256,226395252,224282258,224282259,224282265,221846121,221846120,224282263,226395263,228235555,228235543,228235542,226395261,224282262,224282263,226395262,265853521,228235547,226395249,224282255,224282254,226395247,226395261,226395260,226395249,224282255,221846116,219006774,215643557,211575024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8878218, s2 = 5090820, dlinesl.size( ) = 2 s1 = 8878218, s2 = 5090820, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8878218, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7681913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7284896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8760770, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14165880, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10357486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357486, s2 = 5187789, int(edited[s2]) = 0 s1 = 10357486, s2 = 5187789, d1 = 18, d2 = 6 Dl.O(d1) = 270829035,263124505,264198695 Dl.O(d2) = 215698467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10357486, s2 = 5187789, dlinesl.size( ) = 8 s1 = 4986961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4986961, s2 = 7956951, int(edited[s2]) = 0 s1 = 4986961, s2 = 7956951, d1 = 65, d2 = 43 Dl.O(d1) = 206685073,211644334,264976215,265378091,221884035,221884030,219051781 Dl.O(d2) = 1346452,1353173,1366970,2360918,3943783,6295928,9590464,13967096,19512582,26227801,34089067,43172375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4986961, s2 = 7956951, dlinesl.size( ) = 2 s1 = 4986961, s2 = 7956951, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 4986961, Dl.E( ) = 72, 4.01e-05 seconds used appending s1 = 7146990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7146990, s2 = 4871596, int(edited[s2]) = 0 s1 = 7146990, s2 = 4871596, d1 = 47, d2 = 13 Dl.O(d1) = 263203260,211648722,215702103,219054861 Dl.O(d2) = 200688982 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8726466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8726466, s2 = 6952141, int(edited[s2]) = 0 s1 = 8726466, s2 = 6952141, d1 = 104, d2 = 101 Dl.O(d1) = 263541859,200913167,264501025,211658412,264977259 Dl.O(d2) = 113541750,260546184,37945980,256885604,11066713,11079103,11079104,11080348,11069204,7339660,4636098,2792633,1619937,921292,921290,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,2795175,4640796,6025695,6025696,9203795,11079256,11079255,11078328,11078327,11072331,7341777,4637306,2793280,1620261,921452,921451,1620260,2793278,4637302,7341771,255072379,10257657,10257658,14917356,20813345,22063898,15959355,11076333,11076332,15959353,255447897,15945572,15945573,22048756,255476760,47863161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8726466, s2 = 6952141, dlinesl.size( ) = 66 s1 = 13822055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5093479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7265975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7265975, s2 = 14368286, int(edited[s2]) = 0 s1 = 7265975, s2 = 14368286, d1 = 118, d2 = 145 Dl.O(d1) = 264747015 Dl.O(d2) = 256680456,40255726,31568131,24062400,17707185,12525241,12525242,17707187,24062403,31568133,40255731,44364393,44364394,39255285,268102464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7265975, s2 = 14368286, dlinesl.size( ) = 42 s1 = 5189266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8821747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8821747, s2 = 7158904, int(edited[s2]) = 0 s1 = 8821747, s2 = 7158904, d1 = 25, d2 = 22 Dl.O(d1) = 224345730,221918988,264888220 Dl.O(d2) = 263369456,262500500,140629555,260313062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8821747, s2 = 7158904, dlinesl.size( ) = 26 s1 = 7285634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8644994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5562576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5562576, s2 = 10722543, int(edited[s2]) = 0 s1 = 5562576, s2 = 10722543, d1 = 49, d2 = 62 Dl.O(d1) = 228302652,274340364,215768802 Dl.O(d2) = 10561252,10561251,15283049,10548760,10548759,15283045,21248829,15298754,15273405,268204353,21240169,21240170,23435392,17160056,255537763,15274281,15274280,21241667,15283048,15283047,21231120,15297917,10562436,6966614,6957668,4371440,2618839,1511945,857265,484063,272343,272344,484068,857277,1511970,2618883,2619625,2619624,3795420,3795421,4375955,2621172,2611428,2611427,4358481,6936032,10517535,15245674,17153451,17153452,255441928,254758528,6919431,6919432,10493344,9066484,9066486,13282290,13092969,12847212,12847213,12675404,12675401,12847318,12847317,12848499,18119994,24557753,19237667,13744366,9416841,9416842,11022973,15900473,22000157,24948018,24948019,27233588,32136718,24555237,18674731,16948087,11861554,11861558,16948103,18674427,13362794,9132406,254917177,13362774,18765680,17656516,12485851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5562576, s2 = 10722543, dlinesl.size( ) = 30 s1 = 8774874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8774874, s2 = 13775410, int(edited[s2]) = 0 s1 = 8774874, s2 = 13775410, d1 = 21, d2 = 32 Dl.O(d1) = 274207396,264492647,265192191,224363599,265382985,219114592,219114591,215769276,211724415 Dl.O(d2) = 264206539,193687481,193687480,200785292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11660476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660476, s2 = 14122616, int(edited[s2]) = 0 s1 = 11660476, s2 = 14122616, d1 = 0, d2 = 0 Dl.O(d1) = 15978511,15978510,22084624,22084628,29414884,37977880,256540719,17720458,17720457,24077328,31583040,269001815,47895258,50291291,40270087,37977865,37977866,29414876,29414877,255727328,24077334,17720462,17720461,24077330,31583041,40270043,40270052,47895211,38038774,29475867,267943870,31583076,24077366,17720489,12536791,12536787,8498465,8498464,12536785,17720484,24077359,31583075,40270073,40270075,255199318,24077362,31583082,40270078,50291315,61771100,74554702,88169713,102160651,116221967,130132688,143463620,156002489,167611769,178074475,187311081,195350600,202225127,264573355,212771694,216669524,265252589,224969889,265760765,230341407,231730420,232978271,234107808,235135152,236069333,236918977,237692497,274800325,239035767,239625224,240170958,240675614,241143166,240792244,240295385,239759867,239179367,239179368,266633118,237097268,236265466,236265467,235353991,234354332,233255692,232042764,265799392,265485392,223270849,264885462,213953955,209492674,204054911,263364966,181004422,170885329,159557280,147198125,133975351,120133548,105921462,91714014,91714013,91903911,259061892,120299362,260306030,147342772,159690984,171006121,181111090,189974343,197616930,204124758,209554292,214008619,211742452,264209386,175951475,165249233,153449795,140769627,261157068,113543407,99532135,85585257,71998436,269334319,256379770,22053622,22053623,27211313,27211314,32156082,24571997,24571998,27211312,23187080,23187079,30606296,35335709,39910627,255446134,21903525,255870469,15950094,11068865,11068864,15950090,21903418,15823377,15823222,10965435,10965431,15823202,17759693,21903326,15823318,15823319,21903330,24120571,254762474,17720764,12536987,12536985,15821756,10964563,7257681,7257682,10964568,15821769,11808649,7887557,7887556,7998478,11948753,17033957,254763490,21901265,255071984,11210515,7438327,4700138,2831727,2831728,4700141,7438333,11210525,16138001,22281986,29634231,38201010,32905684,25194325,254287996,13247171,9036210 Dl.O(d2) = 15978511,15978510,22084624,22084628,29414884,37977880,256540719,17720458,17720457,24077328,31583040,269001815,47895258,50291291,40270087,37977865,37977866,29414876,29414877,255727328,24077334,17720462,17720461,24077330,31583041,40270043,40270052,47895211,38038774,29475867,267943870,31583076,24077366,17720489,12536791,12536787,8498465,8498464,12536785,17720484,24077359,31583075,40270073,40270075,255199318,24077362,31583082,40270078,50291315,61771100,74554702,88169713,102160651,116221967,130132688,143463620,156002489,167611769,178074475,187311081,195350600,202225127,264573355,212771694,216669524,265252589,224969889,265760765,230341407,231730420,232978271,234107808,235135152,236069333,236918977,237692497,274800325,239035767,239625224,240170958,240675614,241143166,240792244,240295385,239759867,239179367,239179368,266633118,237097268,236265466,236265467,235353991,234354332,233255692,232042764,265799392,265485392,223270849,264885462,213953955,209492674,204054911,263364966,181004422,170885329,159557280,147198125,133975351,120133548,105921462,91714014,91714013,91903911,259061892,120299362,260306030,147342772,159690984,171006121,181111090,189974343,197616930,204124758,209554292,214008619,211742452,264209386,175951475,165249233,153449795,140769627,261157068,113543407,99532135,85585257,71998436,269334319,256379770,22053622,22053623,27211313,27211314,32156082,24571997,24571998,27211312,23187080,23187079,30606296,35335709,39910627,255446134,21903525,255870469,15950094,11068865,11068864,15950090,21903418,15823377,15823222,10965435,10965431,15823202,17759693,21903326,15823318,15823319,21903330,24120571,254762474,17720764,12536987,12536985,15821756,10964563,7257681,7257682,10964568,15821769,11808649,7887557,7887556,7998478,11948753,17033957,254763490,21901265,255071984,11210515,7438327,4700138,2831727,2831728,4700141,7438333,11210525,16138001,22281986,29634231,38201010,32905684,25194325,254287996,13247171,9036210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660476, s2 = 14122616, dlinesl.size( ) = 2 s1 = 11660476, s2 = 14122616, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660476, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5191512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7303968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7303968, s2 = 14774692, int(edited[s2]) = 0 s1 = 7303968, s2 = 14774692, d1 = 7, d2 = 23 Dl.O(d1) = 265194382 Dl.O(d2) = 263891199,206818352,206818343,273988611,264495853,215802987,265194735,264984278,206818337,206818338,211762685,206818332,206818331,211762684,211762695,206818340,264495849,215802969,215802975,215802974,264752754,206818344,264984649,215802971,215802970,219144394,221965504,219144392,264984276,211762681,215802970,219144393,219144404,221965505,265559167,226492140,265558866,219144398,219144401,264984280,206818340,200834949,200834950,206818342,211762699,215802983,219144406,219144387,219144388,219144397,219144403,219144407,219144389,215802977,211762689,206818334,200834946,200834945,206818331,211762684,211762695,206818340,200834949,200834950,206818342,211762698,264984282,264984649,215802971,215802970,219144394,221965504,219144392,264984276,211762681,215802970,219144393,219144404,221965505,224388084,226492138,265861167,226492140,265558866,219144399,219144401,264984280,206818340,200834949,200834950,206818342,211762699,215802983,219144406,219144387,219144388,219144397,219144403,219144407,219144389,215802977,211762689,206818334,200834946,193745020,193745021,200834948,206818338,211762685,206818345,200834953,193745025,185477587,263140050,165309596,165309597,153515859,140837017,127478846,113604567,99589314,85639239,72051704,59316861,47923783,38008795,29446600,22113277,16001022,11108525,7367495,4654329,2803946,1626640,267789741,4654328,7367493,11108524,9975835,9975837,9975697,9975696,14497851,14497384,9975804,9975803,6557707,4108299,4108298,6557704,9975800,9171814,6003081,4107244,2456759,267818093,6556186,9171839,13414340,14499692,9977287,9977288,9975806,9975805,9976022,6556697,4107589,2456973,1420284,1420285,2456975,4107591,6556701,6556818,6556817,6556768,4107634,4107635,6556769,9976111,9975461,6556275,6556276,6556445,6557578,6557579,9977176,14499599,20206606,20206667,20203729,20203730,14497346,254693733,6556777,6557856,4108416,2457518,1420614,808158,457947,258178,143073,78500,78499,143070,258170,457932,808138,1420570,2457423,1420606,1420602,2457495,4108379,6557558,4108192,2457373,1420543,808126,808127,1420547,2457380,4108208,6557500,6557501,6556925,6556926,6557625,4108244,2457408,2457407,4108114,6556443,6557719,4108311,2457458,1420586,808144,808145,1420588,2457461,4108317,6556476,4107541,4107542,4100935,4100934,6545890,6557776,9976921,6557549,4108187,4108186,6557535,6557396,6557397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7303968, s2 = 14774692, dlinesl.size( ) = 2 s1 = 7303968, s2 = 14774692, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7303968, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 4962182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8770944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8806636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5194367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5194367, s2 = 9803230, int(edited[s2]) = 0 s1 = 5194367, s2 = 9803230, d1 = 25, d2 = 30 Dl.O(d1) = 215876456 Dl.O(d2) = 18498503,13142518,8957358,8957357,13142517,18498545,20264839,25031168,18498592,13142547,13142546,18498591,23204797,23204798,30627430,32717592,25031215,18498627,18498626,18419421,18419420,20195284,27094386,20264370,20264367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5194367, s2 = 9803230, dlinesl.size( ) = 2 s1 = 5194367, s2 = 9803230, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5194367, Dl.E( ) = 44, 1.31e-05 seconds used appending s1 = 13649399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10273868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7223902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7198381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7198381, s2 = 5929900, int(edited[s2]) = 0 s1 = 7198381, s2 = 5929900, d1 = 33, d2 = 19 Dl.O(d1) = 263896668 Dl.O(d2) = 237784223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7198381, s2 = 5929900, dlinesl.size( ) = 34 s1 = 9615228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9328100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9328100, s2 = 4443696, int(edited[s2]) = 0 s1 = 9328100, s2 = 4443696, d1 = 52, d2 = 0 Dl.O(d1) = 257649688,98254847,112232916,259139390,134119560,257293072,64773974,52854134,42449886,254966958,64773975,73351158,60606100,49205401,49205400,60606098,73351154,61470025,49992564,49992563,61470024,74019847,61239161,49760109,49760108,47055390,47055388,47336553,47336552,39448049,39448048,49376391,39472514,39472515,39472122,39472123,258142285,86010260,99969610,113993069,127871207,141230180,153901913,165677854,176345163,263554763,264225759,211941970 Dl.O(d2) = 175287736,164516716,272533374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9328100, s2 = 4443696, dlinesl.size( ) = 42 s1 = 8703989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224246, s2 = 3923886, int(edited[s2]) = 0 s1 = 7224246, s2 = 3923886, d1 = 220, d2 = 156 Dl.O(d1) = 264226553 Dl.O(d2) = 141488191 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5196981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5196981, s2 = 11896373, int(edited[s2]) = 0 s1 = 5196981, s2 = 11896373, d1 = 9, d2 = 4 Dl.O(d1) = 215960900,211952467,207045923,201099563,194043306,273551663,176368449,165703359,153928428,261735611,127895932,114015789,99990058,86028414,72430739,59695098,48308166,38397433,29825058,22457701,22457702,29825060,38397435,48308169,59695102,72430745,86028418,99990061 Dl.O(d2) = 272216305,153928430,165703362,263163673,194043308,201099569,207045925,207045926,264766227,219280394,265724769,265724771,230008820,231428952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5196981, s2 = 11896373, dlinesl.size( ) = 2 s1 = 5196981, s2 = 11896373, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5196981, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 8704015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5102436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5102570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9269248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9269248, s2 = 5197654, int(edited[s2]) = 0 s1 = 9269248, s2 = 5197654, d1 = 2, d2 = 0 Dl.O(d1) = 194080689,194080690,185851466,176414374,176414373,273552229,264228229,201131411,201131410,207071953,201131417,194080694,185851461,176414368,176414358,176414357,185851441,185851449,176414362,263165769,176414352,176414371,165752133,165752132,176414370,185851463,194080683,185851453,176414362 Dl.O(d2) = 185851445,176414372,165752133,165752132,176414370,185851463,194080683,185851453,176414362,263165769,176414352,185851442,176414374,272865377,141308514,127948891,114068944,114068943,127948888,141308509,153979297,165752123,176414359,185851447,194080681,201131414,207071954,211973826,215978828,219295680,222097268,224504072,226595200,228417279,230017687,231436933,232708163,233857171,234903386,235856083,266595921,238233832,238887997,239489070,240043838,240558136,267005715,241889692,242268784,242620019,267192657,243536244,243800471,244045839,244273943,244486014,244684231,244869476,267404721,245360789,245504710,245640063,245765676,245797170,245673272,245540504,245399153,245249286,245089606,244918717,244918716,244736574,244541518,244331980,244106541,243864104,243603807,243323533,243023918,267168986,242361434,267099066,241592921,267017618,266923824,239644956,239056920,274800992,237716024,266540198,266363234,231778215,230394664,228837338,228837339,230394666,231778213,233020830,234144492,235166908,234144493,234144494,266540201,237716025,238417254,239056921,239644958,240189803,240189804,240189805,240693851,240927060,240439791,239914765,239346855,238729700,238057737,237318410,237318411,237318412,236506416,235616541,266165580,232390731,231087893,229635332,228000152,226138208,223998912,221529879,218649456,215227841,211074520,205992985,263320814,184124829,261941330,163640603,163640605,163640604,152034581,139327259,258368396,84279090,70726681,58010877,58010876,70726680,84279089,257574130,139327258,152034580,163899148,174710535,184327780,192743558,199981832,205326209,263190030,191657177,183046283,173193949,162093021,261186354,122906507,261186356,122906509,108641607,258765912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9269248, s2 = 5197654, dlinesl.size( ) = 2 s1 = 9269248, s2 = 5197654, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9269248, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 5198620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5104131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14767285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9259569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9259569, s2 = 3286195, int(edited[s2]) = 0 s1 = 9259569, s2 = 3286195, d1 = 21, d2 = 0 Dl.O(d1) = 170015968,170015967,263702457,273622844,201215492,207143190,212031756 Dl.O(d2) = 105039422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9259569, s2 = 3286195, dlinesl.size( ) = 14 s1 = 5200115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4763962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13627871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13627871, s2 = 14138940, int(edited[s2]) = 0 s1 = 13627871, s2 = 14138940, d1 = 42, d2 = 29 Dl.O(d1) = 114324570,128207742,263178703,194252499,201285061,264154350,216074194,265874033,226649802,265349804,224567340,224567341,225254340,222962398,264154346,264154348,264706590,219378221,264815306 Dl.O(d2) = 265685744,265349802,274177412,219378239,216074208,265004651,222170267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13627871, s2 = 14138940, dlinesl.size( ) = 2 s1 = 13627871, s2 = 14138940, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13627871, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 9259671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9678625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5287775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9596103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5201707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5201707, s2 = 14361657, int(edited[s2]) = 0 s1 = 5201707, s2 = 14361657, d1 = 82, d2 = 160 Dl.O(d1) = 216102530 Dl.O(d2) = 254692951,4102507,4102506,254226169,1548664,2673471,4450099,7068102,10698580,15471885,255838111,21242479,18335844,255494038,13523371,15275381,21242624,21473244,255203162,19834720,26648070,34639467,43912849,54655517,66912364,259134753,108680825,122946085,136776251,136776252,149911478,149911480,162123097,162123100,162123099,162123098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5201707, s2 = 14361657, dlinesl.size( ) = 22 s1 = 13760711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5107455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5107455, s2 = 4945045, int(edited[s2]) = 0 s1 = 5107455, s2 = 4945045, d1 = 5, d2 = 7 Dl.O(d1) = 212119081 Dl.O(d2) = 209721126,204325938,262514980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5107455, s2 = 4945045, dlinesl.size( ) = 12 s1 = 11660720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7200943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7200943, s2 = 7397855, int(edited[s2]) = 0 s1 = 7200943, s2 = 7397855, d1 = 19, d2 = 14 Dl.O(d1) = 263926334,265007667 Dl.O(d2) = 266238037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7200943, s2 = 7397855, dlinesl.size( ) = 8 s1 = 7282135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7282135, s2 = 6804029, int(edited[s2]) = 0 s1 = 7282135, s2 = 6804029, d1 = 38, d2 = 32 Dl.O(d1) = 264944277 Dl.O(d2) = 258694978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7282135, s2 = 6804029, dlinesl.size( ) = 46 s1 = 5202321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8705915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9047976, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5109419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9561286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13827549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13827549, s2 = 10998862, int(edited[s2]) = 0 s1 = 13827549, s2 = 10998862, d1 = 41, d2 = 30 Dl.O(d1) = 207304077,207304076,212176015,216155168,216155167,264501708,263898138,186179813,194374688,273875183,207304062,201395763,194374687,186179812,186179811,194374684,201395759,207304058,212175998,274193196 Dl.O(d2) = 271881374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13827549, s2 = 10998862, dlinesl.size( ) = 28 s1 = 9271583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10233064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10233064, s2 = 8528702, int(edited[s2]) = 0 s1 = 10233064, s2 = 8528702, d1 = 8, d2 = 6 Dl.O(d1) = 261318160,195406226,194398909,194398912,201415606,207321048,261600794,201415617,194398921,186209804,186209803,194398919,201415612,207321054,207321043,207321041,212190427,212190432,212190431,207321066,260467956,194398918,186209802,176817771,166202404,154470687,154470688,166202407,176817775,186209810,194398928,201415631,207321075,212190458,273082792,216167867,212190430,261047494,194398913,194398912,201415606,207321048,261600794,261600792 Dl.O(d2) = 166202406,166202407,176817775,186209810,194398928,201415631,207321075,212190458,273082792,216167867,212190430,261047494,194398913,194398912,201415606,207321048,261600794,261600792,216167873,274107835,207321051,212190423,212190422,212190449,261047500,194398922,194398923,201415598,194398905,186209796,261047488,201415630,201415631,207321075,212190452,207321066,260467956,194398918,186209802,176817771,166202404,154470687,154470688,166202407,176817775,186209810,194398926,261600800,212190430,261047494,194398913,194398912,201415606,207321048,261600794,261600792,216167873,274107835,207321051,212190423,212190422,212190449,261047500,194398922,194398923,201415598,194398905,186209796,186209797,194398906,201415602,207321041,212190427,212190432,212190431,207321066,260467956,194398918,186209802,176817771,166202404,154470687,141825881,256271302,60259563,48866553,254217898,22959335,22959336,30360675,29796555,255784790,50448308,43362008,34262056,28426460,24210807,17840641,17840640,17843611,17843610,267831888,6741588,4224407,2525953,2525954,4224411,5574586,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368674,14368676,12185802,8216332,5286455,5286451,8216277,8216276,12185710,17309575,14229027,14229028,15159973,15159974,16776824,15867442,10997713,10997712,15867438,21960193,23577703,23577704,22782349,17117677,12029183,8087089,5181485,3161438,1850750,1850751,3161442,5181492,8087110,12029214,17117721,14089673,9691004,9691002,14089670,19656704,25369089,18785182,13379651,9145196,9145197,9767048,6421655,4028618,4028623,6421630,8088963,12032186,17121693,15609452,15609450,12572125,11837472,11837473,16914344,17767144,17767145,23581282,24130577,24130575,31637725,30361204,22959826,22959827,22959829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10233064, s2 = 8528702, dlinesl.size( ) = 2 s1 = 10233064, s2 = 8528702, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10233064, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 8728100, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4769356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4769356, s2 = 6921359, int(edited[s2]) = 0 s1 = 4769356, s2 = 6921359, d1 = 57, d2 = 61 Dl.O(d1) = 194400485,263076716 Dl.O(d2) = 262990693,143052098,261826399,261826400,260113656 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5110921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5110921, s2 = 11390956, int(edited[s2]) = 0 s1 = 5110921, s2 = 11390956, d1 = 9, d2 = 30 Dl.O(d1) = 212222365 Dl.O(d2) = 262952552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5110921, s2 = 11390956, dlinesl.size( ) = 56 s1 = 7339567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7339567, s2 = 11531470, int(edited[s2]) = 0 s1 = 7339567, s2 = 11531470, d1 = 9, d2 = 9 Dl.O(d1) = 265597555,212229094,264786437,265014743,264786435,265221943,265410381,222269049,265410383 Dl.O(d2) = 265597555,212229094,264786437,265014743,264786435,265221943,265410381,222269049,265410383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7339567, s2 = 11531470, dlinesl.size( ) = 2 s1 = 7339567, s2 = 11531470, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7339567, Dl.E( ) = 10, 2.38e-05 seconds used appending s1 = 8901345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7133410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7133410, s2 = 3972726, int(edited[s2]) = 0 s1 = 7133410, s2 = 3972726, d1 = 35, d2 = 43 Dl.O(d1) = 263037584 Dl.O(d2) = 143529953,130200944,116362698,102268839,88270375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7133410, s2 = 3972726, dlinesl.size( ) = 2 s1 = 7133410, s2 = 3972726, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7133410, Dl.E( ) = 56, 1.6e-05 seconds used appending s1 = 5112766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8824591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5206964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8709734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16285557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16285557, s2 = 5208145, int(edited[s2]) = 0 s1 = 16285557, s2 = 5208145, d1 = 23, d2 = 16 Dl.O(d1) = 255681345,13617880 Dl.O(d2) = 216298099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16285557, s2 = 5208145, dlinesl.size( ) = 2 s1 = 16285557, s2 = 5208145, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 16285557, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 5114478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5208381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7214298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9587714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9587714, s2 = 14151230, int(edited[s2]) = 0 s1 = 9587714, s2 = 14151230, d1 = 72, d2 = 67 Dl.O(d1) = 30774273,23350687,23350686 Dl.O(d2) = 236826577,237608322,238319357,238319358,238966434,239561098,240110207,240110210,240110211,240110212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9587714, s2 = 14151230, dlinesl.size( ) = 28 s1 = 9568887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341477, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14225487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5210657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5210738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5016086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5211612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13894625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13894625, s2 = 13955170, int(edited[s2]) = 0 s1 = 13894625, s2 = 13955170, d1 = 121, d2 = 147 Dl.O(d1) = 266461820,234838024,233785814 Dl.O(d2) = 267594157,246809233,246746350,246746351,246809235,267606773,247035844,247084031,247127662,247167112,247203498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7262108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8775101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340311, s2 = 10271355, int(edited[s2]) = 0 s1 = 10340311, s2 = 10271355, d1 = 79, d2 = 66 Dl.O(d1) = 258867020,255550740,12112554,17230600,23538489,17335134,12209547,8240692,5312596,5312597,8240696,260106701,264276183 Dl.O(d2) = 226237829,226237827,224106748,221649917,221649916,218788684,264713232,264162332,193022045,184643666,175050774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340311, s2 = 10271355, dlinesl.size( ) = 74 s1 = 5119714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5119714, s2 = 16256659, int(edited[s2]) = 0 s1 = 5119714, s2 = 16256659, d1 = 7, d2 = 7 Dl.O(d1) = 51396425,63088532,76089405,89890795,271494293,118172663,131990043,145224095,157633618,169076017,179347318,188385709,196259446,202995462,208640952,212566524,212566525,216487633,219740353,222486614,224844798,226891731,228675566,230245393,231640733,232894706,234030335,235065335,236006739,236862607,237640482,266546068,236993944 Dl.O(d2) = 51396425,63088532,76089405,89890795,271494293,118172663,131990043,145224095,157633618,169076017,179347318,188385709,196259446,202995462,208640952,212566524,212566525,216487633,219740353,222486614,224844798,226891731,228675566,230245393,231640733,232894706,234030335,235065335,236006739,236862607,237640482,266546068,236993944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5119714, s2 = 16256659, dlinesl.size( ) = 2 s1 = 5119714, s2 = 16256659, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5119714, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 5213626, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5214192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5214192, s2 = 5019305, int(edited[s2]) = 0 s1 = 5214192, s2 = 5019305, d1 = 4, d2 = 0 Dl.O(d1) = 216518244 Dl.O(d2) = 207807225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5214192, s2 = 5019305, dlinesl.size( ) = 2 s1 = 5214192, s2 = 5019305, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5214192, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7081336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7118651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7229163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8876018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8876018, s2 = 5086087, int(edited[s2]) = 0 s1 = 8876018, s2 = 5086087, d1 = 138, d2 = 149 Dl.O(d1) = 274605938,265757688,212639478,264813037,219797486 Dl.O(d2) = 273399959,202434486,208183924,212925508,211420360,211420361,215510904,218890945,218890946,221744586,224193295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8876018, s2 = 5086087, dlinesl.size( ) = 72 s1 = 9045238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9045238, s2 = 6588272, int(edited[s2]) = 0 s1 = 9045238, s2 = 6588272, d1 = 33, d2 = 18 Dl.O(d1) = 224898906,265600471,222548844,219812364,216570032,264712026,202070602,202070604,207875691,212659634,216570034,265244827,224898918,224898904,222548838,219812352,264947520,264160978,195165228,264283875,212659630,216570027,265160366,216570030,219812361,216570036,216570035,219812368,222548851,265600473,224898910,222548841,219812357,219812358,222548843,224898912,222548848,222548847,222548846,219812364,216570032,264712026,202070602,202070604,207875691,212659634,216570034,265244827,224898918,224898904,222548838,219812352,264947520,264160978,195165228,264283875,212659630,216570027,265160366,216570030,219812361,216570036,216570035,219812368,222548851,265600473,224898910,222548841,219812357,219812358,222548843,224898912,222548848,222548847,222548846,219812364,216570032,264712026,202070602 Dl.O(d2) = 256289706,23834668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9045238, s2 = 6588272, dlinesl.size( ) = 2 s1 = 9045238, s2 = 6588272, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9045238, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 8619872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7205383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7205383, s2 = 5216765, int(edited[s2]) = 0 s1 = 7205383, s2 = 5216765, d1 = 8, d2 = 1 Dl.O(d1) = 263976787,207916666,212695149,216601386,219839644,219839639,264816791,207916665 Dl.O(d2) = 216601384,212695148,212695147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7205383, s2 = 5216765, dlinesl.size( ) = 10 s1 = 8722810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8722810, s2 = 10582326, int(edited[s2]) = 0 s1 = 8722810, s2 = 10582326, d1 = 54, d2 = 64 Dl.O(d1) = 261838281,167394881,177889459,187159829,195230016,202128293 Dl.O(d2) = 28338194,21125947,15177262,10467497,6900076,4332045,2592402,1495167,847190,478421,269258,149256,82075,82073,149253,269250,478404,254157471,847237,478471,478470,847117,478363,269228,149239,82067,82068,82089,80710,44191,44190,80707,82255,44997,24982,13965,7685,7684,13962,24974,44686,44687,81649,148489,148509,148508,268087,476536,476652,476653,269874,269872,474468,841315,847182,478411,269252,269254,478417,478459,475600,267427,267426,475597,837144,837143,837748,837749,842413,475141,267135,148346,148347,267822,476106,841157,841158,1486768,1483441,1483442,843096,842672,475277,267208,267211,475285,474203,269271,149264,149266,269274,476594,841325,474474,266724,147671,81183,81181,81175,81174,81190,81191,147685,266746,474505,841365,474520,266757,266756,474515,837623,838698,472769,265687,265685,267258,147963,147962,148879,148880,267298,267299,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268961,474463,474435,266698,266695,266685,266683,474412,841238,842476,842475,1488766,1488399,842201,474990,267037,147849,81288,81287,147844,267028,474978,842174,842254,475065,475066,475749,843239,845983,837694,472076,472075,837688,475567,475569,843025,1488516,1488515,1489135,2584105,4320178,4320270,2584178,254327923,1486833,1486834,846986,478252,478251,846982,1494893,2592071,2584553,2584554,4320674,4323061,4323062,2590584,2590583,2584262,1494513,846741,478112,478111,846735,1490698,844025,476287,267933,148412,148414,267940,476302,267763439,2265324,3781525,267960361,6910433,10481140,10446569,254729202,6899544,6886983,4323649,4323648,4331269,4314977,3781541,3781542,2578923,1485479,840306,840309,840261,840259,1485398,840328,840326,840275,473828,266320,147468,81082,81084,147478,266354,266308,266307,473799,840215,1485325,1486298,1486296,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,2578397,4311881,6869947,10420970,10444546,6885295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8722810, s2 = 10582326, dlinesl.size( ) = 18 s1 = 13768189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5124555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7229873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7229873, s2 = 10402775, int(edited[s2]) = 0 s1 = 7229873, s2 = 10402775, d1 = 93, d2 = 85 Dl.O(d1) = 264289973,212723233,216627704,219864368,222595733,224941639,226979044,228755133,230318912,231709323,231709302,230318900,228755122,226979037,224941633,224941634,224941640,224941641,226979046,228755136,230318914,230318920,231709318,232958930,234090035,235119913,235119919,266256947,232958938,266256939,231709302,230318900,228755122,226979037,224941633,222595731,222595733,224941639,226979044,265899015,231709318,232958930,234090035,235119913,274731463,235119924,235119923,235119928,235119927,234090059,232958965,232958964,234090057,235119930,266536037,236907163,236055969,235119931,234090058,234090053,234090052,234090049,232958953,231709340,230318929,228755144,226979056,226979054,224941649,222595739,265435513,226979065,228755158,230318947,231709361,232958967,266357885,236055973,236907159,236055963,235119925,234090051,232958956,266028267,266028261,226979036,224941633,222595731,222595733,224941639,226979044,228755133,230318912,231709323,231709302,230318900,266256937,232958948,234090038,235119917,235119912,235119910,234090060,234090048,232958951,231709338,231709339,231709329,230318922,230318923,231709308,231709309,230318939,228755154,228755153,226979066,226979065,228755156,230318945,230318930,230318910,228755129,226979041,226979042,228755131,226979047,226979048,228755137,230318915,230318939,228755154,226979061,224941647,222595737,265435511,226979058,228755148,266028261,228755119,228755132,228755147,226979057,226979058,265899019,231709345,232958959,234090054,235119926,236055960,235119914,235119913,274731463,235119924,235119923,235119928,235119927,234090059,232958965,232958964,234090057,235119930,266536037,236907163,236055969,235119931,234090058,234090053,234090052,234090049,232958953,232958943,231709330,230318922,230318923,231709331,232958924,231709313,231709312,230318926,228755143,226979056,274361699,219864371,216627705,216627704,219864368,222595733,224941639,226979043,228755132,228755147,228755146,230318931,231709342,266256949,231709355,232958963,234090057,235119930,266536037,236907168,236055972,235119932,234090059,232958965,232958964,234090057,235119930,266536037,236907168,236055972,235119932,234090059,232958965,232958964,234090057,235119930,266536037,236907163,236055969,235119931,234090058,234090053,234090052,234090049,232958953,232958943,232958942,232958949,231709337,231709336,232958948,234090038,235119917,266536035,236907162,237681533,266751169,239025672,239615532,239456052,238852192 Dl.O(d2) = 228338613,226507343,224405532,224405531,274345644,229946079,231372297,229946063,228338617,265386978,231372294,232650507,233805351,233805356,233805355,266227588,236684349,237478527,237478543,237478525,236684361,235812935,234855944,234855945,235812937,236684364,237478523,237478524,266512738,238856752,266512732,236684355,235812930,234855940,233805358,232650513,232650514,233805359,234855942,235812933,236684359,237478538,237478550,238199787,237478545,237478544,237478553,237478533,236684353,235812927,234855937,234855938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7229873, s2 = 10402775, dlinesl.size( ) = 2 s1 = 7229873, s2 = 10402775, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7229873, Dl.E( ) = 94, 3.29e-05 seconds used appending s1 = 13825903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13825903, s2 = 8820148, int(edited[s2]) = 0 s1 = 13825903, s2 = 8820148, d1 = 17, d2 = 14 Dl.O(d1) = 219878619,264959400,264465444,202180831,195296801,195296802,202180834,264570683,212741221,212741222,216643671,264465446,207968810,207968811,212741220 Dl.O(d2) = 219878619,264959400,264465444,202180831,202180832,207968815,212741223,265046629,265436763,224953402,226989950,226989948,224953399,222608809,265436763,222608811,222608810 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10272980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7169829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7169829, s2 = 5636817, int(edited[s2]) = 0 s1 = 7169829, s2 = 5636817, d1 = 11, d2 = 7 Dl.O(d1) = 263521658,212748027,264744458,274423989 Dl.O(d2) = 265187480,264976896,264486408,212748013,207976457,207976458,212748016,216649601,219883850,264976898,226993654,274406820,231722129,232970489,232970494,231722137,265552906,224957526,224957525,265378652,265378662,226993676,228769057,230332509,231722145,231722136,230332496,228769045,226993666,226993658,226993659,265552904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7169829, s2 = 5636817, dlinesl.size( ) = 2 s1 = 7169829, s2 = 5636817, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7169829, Dl.E( ) = 18, 1.31e-05 seconds used appending s1 = 7150932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7150932, s2 = 13978581, int(edited[s2]) = 0 s1 = 7150932, s2 = 13978581, d1 = 39, d2 = 57 Dl.O(d1) = 263252216,187257863,195307570,202190991,207978487,212750556 Dl.O(d2) = 274213040,216652461,264571674,207978484,263636342,187257860,178012339,167544265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150932, s2 = 13978581, dlinesl.size( ) = 48 s1 = 7230216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8797998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4840557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4840557, s2 = 10610073, int(edited[s2]) = 0 s1 = 4840557, s2 = 10610073, d1 = 34, d2 = 115 Dl.O(d1) = 199309631,205541293,199835382,199835383,205983358,205983359,211065903,211065858,205983305,199835329,199835328,205983303,211065856,264937194 Dl.O(d2) = 151974583,139267516,125917993,112083435,256827474,70673845,256827478,258016664,98122984,84227453,70673849,255374440,36691876,36691874,46578215,36691878,28201896,21010329,15090023,10407600,6860536,4305602,2574466,2574467,4305606,6860521,4305622,2574476,1482616,838350,472554,265553,147010,147008,265546,472547,838336,1482582,2574432,2574653,2574654,4305944,4305078,2574141,1482358,838152,838150,1482223,1482222,2573975,4304836,4305067,4303754,4303755,2573164,1481530,1481531,2527247,4226688,2573715,1482052,1482053,1482361,2574155,4305094,4305586,6860515,10407570,10407572,6860533,4305598,4305597,6860531,10407591,6860543,4305613,2574471,1482611,838346,472551,472540,472541,838328,838334,1482592,2574425,4304873,2574004,2574003,4304868,2574170,1482371,838163,472419,472418,838156,1482364,2574160,4305103,4303764,2573157,2573158,2573154,1481525,1481524,2573151,4303745,4304517,4304519,2574151,2574150,4305086,6859587,10405301,10405299,6860499,6860500,10407575,6860527,6860526,10405283,10405860,10407578,6860508,4305582,2574454,1482601,838341,838322,838323,1482577,1482587,2574436,4305566,6858806,4304463,4304462,6745507,4304597,2573757,1482342,838145,838144,1482071,2573746,4304580,6858957,6857756,4303760,4303759,4303743,2573145,2573146,2573955,4304815,6858857,6858858,10405024,10405168,10405167,10405176,6859101,6859100,4305569,4305570,6860494,10405287,6859070,6859071,4305097,4304862,4304863,6859273,4305578,2574450,1482596,1482595,2574443,2573994,2573978,2573979,4304842,4304468,2573665,2573666,4304473,6858815,4304594,2573764,1482080,837968,837967,1482076,2573754,4304588,6858963,6859243,4304825,2573963,2573965,2573957,2573956,4304820,6859236,10405448,10405173,6858973,4304600,4304601,4304696,2573840,2573841,4304703,6859108,6860341,6858954,4305436,4305435,6859011,6859010,6859077,4304663,2573799,2573800,2573823,2573824,1482236,838064,838063,1482230,2573986,4304855,6859267,6859314,6859391,4304956,2574074,1482297,1482067,1482068,2573744,4304577,6858950,6860373,6859171,6859172,6859239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4840557, s2 = 10610073, dlinesl.size( ) = 56 s1 = 9582355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7192782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7325707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13856945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7230750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7230750, s2 = 7340648, int(edited[s2]) = 0 s1 = 7230750, s2 = 7340648, d1 = 39, d2 = 46 Dl.O(d1) = 264300239 Dl.O(d2) = 265609904 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7726341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10351287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10351287, s2 = 5797916, int(edited[s2]) = 0 s1 = 10351287, s2 = 5797916, d1 = 79, d2 = 68 Dl.O(d1) = 257097683,258290269,263262629,264300855 Dl.O(d2) = 240412368,240412369,274874031,239884758,266780138,236456011,236456010,235561387,234579195,274501940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10351287, s2 = 5797916, dlinesl.size( ) = 12 s1 = 8811913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5222259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9264728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5222675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5130565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5130565, s2 = 7434428, int(edited[s2]) = 0 s1 = 5130565, s2 = 7434428, d1 = 1, d2 = 23 Dl.O(d1) = 212907543 Dl.O(d2) = 266617641,266872345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5130565, s2 = 7434428, dlinesl.size( ) = 24 s1 = 5222970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5385617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13839987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7729787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729787, s2 = 5308388, int(edited[s2]) = 0 s1 = 7729787, s2 = 5308388, d1 = 27, d2 = 35 Dl.O(d1) = 273898475,212936787 Dl.O(d2) = 220021837,265447441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7729787, s2 = 5308388, dlinesl.size( ) = 30 s1 = 5223643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9514973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9514973, s2 = 14166063, int(edited[s2]) = 0 s1 = 9514973, s2 = 14166063, d1 = 11, d2 = 17 Dl.O(d1) = 62533527,75456054,260783645,103303752 Dl.O(d2) = 208286033,213005833,216864459,220063334,221129357,218193410,214697105,264670607,205243204,274343832,182859761,263003003,161786458,149484780,261520249,259739373,257861309,43342358,256186547,19633289,14070135,9676198,254957439,19633287,256186543,43342355,53866757,258478685,93423631,85109257,71537807,58808713,258000962,21688681,28970520,37513831,47421478,58808716,259379149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9514973, s2 = 14166063, dlinesl.size( ) = 2 s1 = 9514973, s2 = 14166063, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9514973, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 5031892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5031892, s2 = 10142195, int(edited[s2]) = 0 s1 = 5031892, s2 = 10142195, d1 = 33, d2 = 46 Dl.O(d1) = 208288416,208288417,202566749,202566746,264313729,213007781,216866020,213007785,264313731 Dl.O(d2) = 3526688,3526689,5669348,254885831,18065535,255703276,40817148,38897175,30311164,22911340,22911335,18333113,13125830,8946473,8946475,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13126445,13126440,13014077,13014082,18333139,13125544,13125549,18475191,25000578,25001835,25001487,25001488,25001935,25001931,25329800,18750132,18750130,25000038,18474897,18474895,25000033,32677849,31882744,24997758,18472997,13124007,8945019,8945022,13124017,18473014,24997785,25010792,25010794,32685419,32675296,24998026,24998031,24497076,24497079,24996566,32672948,32672968,25002378,18476446,17866733,12652454,8946460,8946462,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13126427,13126426,18333164,18333169,24487485,18064144,18064143,18064116,18064118,24487444,32053233,40813345,50932691,40873605,40873606,43344902,34245125,26368467,26368468,34245128,36747793,32103443,32101688,255610529,12829580,8723464,5678605,5678606,8723467,12829587,18094926,24526306,32101713,40873641,51009097,53869745,53869746,46439104,36574074,28102513,20926504,18071581,12811654,8710827,5670513,3527246,3527244,5670501,254886017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5031892, s2 = 10142195, dlinesl.size( ) = 2 s1 = 5031892, s2 = 10142195, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5031892, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 10178741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10178741, s2 = 7982920, int(edited[s2]) = 0 s1 = 10178741, s2 = 7982920, d1 = 65, d2 = 66 Dl.O(d1) = 37448097,28908659,21634289,15602759,15602764,21634303,21615681,21615679,17782385,17782384,24149361,31659795,28309013,21099077,21099076,16957532,15229082,10505162,10505160,15229089,21192380,22972978,16736455,11692997,11692994,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,23645696,17580675,12408651,12408649,15157542,15229142,10505187,6927040,6927039,10505176,269799934,259345556,6078125,6078122,9279157,10672335,10672336,12680184,8612020,8612021,6912769,6912768,6123920,6085882,3807944,2281007,2281008,3807948,6085889,9290384,13569107,19012001,254308616,7085741,7085740,10724799,12607482,254671738,19036498,17135050,12041841,12041842,267958985,254716031,256287833 Dl.O(d2) = 12364246,255566645,30312665,30312664,24998270,24998271,32675615,32676965,260668770,16988870,254817781,3068661,1788953,1020051,574765,574761,575708,1021757,1780690,1030352,580620,324703,179339,179338,324700,282755,156187,156188,282749,504234,595391,1031519,1806241,3069697,3083593,3083592,5068221,3072003,3072004,3450909,3091871,1806352,1031594,581343,581344,1031595,1806356,254255099,1807085,2713903,1572281,893949,504343,504342,893946,1572275,2713681,2714371,3084651,1800552,1800551,3084650,5041421,3052232,1778088,1013725,1013723,1778083,3052227,5041418,3076212,1794790,1572548,1572551,1572193,1015985,1015986,1781601,1021499,575578,575580,1021503,1572895,894303,894304,1024499,1795637,1796580,1025123,1025122,1796579,1782653,1782654,3058318,5048294,5043867,3054318,1779651,1014728,571978,571980,1014716,1779629,1800926,1800927,3062016,3056357,3056358,3056537,1782727,1016618,573025,320910,320907,573015,1016593,1782675,3058355,3086368,1802025,1028631,579603,324181,179104,179103,254103307,1028626,1781168,1781167,1795712,3077542,3076302,3076301,3052001,1777936,1013622,1013623,1777941,1791016,1778470,1778471,254376471,3057796,1782332,1016422,572936,320868,320867,572933,1016417,1782322,3057780,5047661,254252849,1017829,573656,573655,1017828,1784884,1802081,3086475,3054935,254376721,3092529,1806890,1781314,1781312,2580395,4314663,6873345,5078389,3080231,1797659,1797662,3080243,1802596,1802594,3070572,3070573,5066505,7936677,5093356,5093357,7979489,5078492,5072587,254256932,7966777,7966776,7439001,5074547,3077195,1795465,1795466,3077201,5055464,5055465,7949274,7944556,7944558,11881089,7942760,7942761,11881092,7997227,5090981,3089544,3089545,5090985,7997305,11897236,11897237,11944089,7994631,7994334,6588395,4127671,4127670,6588392,10024402,7439340,7439341,6000464,3752562,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878773,8991723,7960006,7960008,7937091,7937090,7954002,11875667,11875666,11997674,11997673,17085199,17015918,11931446,11890602,7950375,5056424,3063368,3063367,5056420,7950364,7967224,7967225,11910789,15024014,15024013,11672947,7781964,7781962,7171390,4517123,4517122,7171384,10847736,15669603,16994001,16994002,23238511,23401210,30658811,23240007,17081504,12154440,254177806,3210998,3210997,5254439,8184900,12154432,11681266,7996526,7996525,7789460,4938786,4938783,7789449,7986783,5083088,3082962,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067579,7965367,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,7937228,5047511,5047509,3061164,3061167,5052806,7945163,9609244,10834674,11872157,10834818,7162145,7162146,7162135,7162136,7935808,7935807,7162560,7162559,10835439,7162599,4511146,4511145,7162595,8347897,8347898,12355735,8353164,5391588,3315370,1950315,1950314,257070699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10178741, s2 = 7982920, dlinesl.size( ) = 74 s1 = 5133131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5133131, s2 = 9288175, int(edited[s2]) = 0 s1 = 5133131, s2 = 9288175, d1 = 0, d2 = 2 Dl.O(d1) = 213037263 Dl.O(d2) = 228462882,265525532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5133131, s2 = 9288175, dlinesl.size( ) = 28 s1 = 5225738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5225738, s2 = 10224217, int(edited[s2]) = 0 s1 = 5225738, s2 = 10224217, d1 = 7, d2 = 17 Dl.O(d1) = 216909391 Dl.O(d2) = 274277240,263206625,166569334,272585191,128881532,114979255,100925383,100925382,114979254,104991097,104991096,119185906,133020994,146254940,272975501,154867985,142233468,128881539,114979243,114979242,128881537,114979267,114979266,128881546,114979250,259452809,73331955,73331954,86942673,100925375,114979244,128881541,131438585,262300793,142233464,142233466,142233472,128881550,128881549,262300797,263206629,186492414,177143776,262300795,128881548,114979252,100925381,86942677,73331956,73331957,86942679,100925385,114979258,128881555,142233476,142233464,142233465,131438588,117637840,103508083,103508084,117637841,131438589,142233478,261243543,114979243,114979242,128881537,114979267,114979266,128881546,114979250,261243551,128881555,142233476,142233464,142233466,142233472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5225738, s2 = 10224217, dlinesl.size( ) = 12 s1 = 9725060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7729919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729919, s2 = 14166015, int(edited[s2]) = 0 s1 = 7729919, s2 = 14166015, d1 = 0, d2 = 0 Dl.O(d1) = 257214095,42807568,268506459,19299403,13798672,9462313,254944281,19299405,256163975,24577362,268462205,51083695,258328001,89424214,103520597,117653897,131458974,144685616,157087514,168536340,178839392,187936339,195866928,273904027,213068423,216916012,274288309,216444932,264553955,201879240,194952148,186858311,177569998,167063929,155424045,142842996,129525942,115640971,101600797,87633947,74030377,61250473,49771882,39753378,31075771,23592422,23592421,31075766,39753374,49771878,61250466,74030369,87633936,101600785,101531415,87573676,258234736,49718598,39699875,31022789,23541643,17257094,17257093,21363304,21363305,23696990,17493143,255563589,31322050,39999765,50018024,61496133,74273058,270902533,67712648,61990540,257101403,31768125,24255981,24255982,268691245,50498735,61990546,74786916,258916429,61990544,50498734,50498735,61990545,74786914,270919503,259541157,88418484,88418480,88418481,74786915,74786916,258916429,61990544,61990543,74786910,88418481,259541159,269471864,90962508,77077708,77077709,88691166,88691167,88691169,75040198,62217036,50696850,269192400 Dl.O(d2) = 257214095,42807568,268506459,19299403,13798672,9462313,254944281,19299405,256163975,24577362,268462205,51083695,258328001,89424214,103520597,117653897,131458974,144685616,157087514,168536340,178839392,187936339,195866928,273904027,213068423,216916012,274288309,216444932,264553955,201879240,194952148,186858311,177569998,167063929,155424045,142842996,129525942,115640971,101600797,87633947,74030377,61250473,49771882,39753378,31075771,23592422,23592421,31075766,39753374,49771878,61250466,74030369,87633936,101600785,101531415,87573676,258234736,49718598,39699875,31022789,23541643,17257094,17257093,21363304,21363305,23696990,17493143,255563589,31322050,39999765,50018024,61496133,74273058,270902533,67712648,61990540,257101403,31768125,24255981,24255982,268691245,50498735,61990546,74786916,258916429,61990544,50498734,50498735,61990545,74786914,270919503,259541157,88418484,88418480,88418481,74786915,74786916,258916429,61990544,61990543,74786910,88418481,259541159,269471864,90962508,77077708,77077709,88691166,88691167,88691169,75040198,62217036,50696850,269192400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7729919, s2 = 14166015, dlinesl.size( ) = 2 s1 = 7729919, s2 = 14166015, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7729919, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7269279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7232208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8812759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7310898, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5135158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5389079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9245908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8736785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8736785, s2 = 11573336, int(edited[s2]) = 0 s1 = 8736785, s2 = 11573336, d1 = 13, d2 = 40 Dl.O(d1) = 262882187 Dl.O(d2) = 266274556,228943260,227196009,225195169,265623153,265914921,231857211,266269613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8736785, s2 = 11573336, dlinesl.size( ) = 16 s1 = 7188197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9045825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5138135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5230114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5138233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5138233, s2 = 4020572, int(edited[s2]) = 0 s1 = 5138233, s2 = 4020572, d1 = 24, d2 = 99 Dl.O(d1) = 213430688 Dl.O(d2) = 134207336,120374415,106172285,106172283,260894283,147419022,262950383,190017766,264641369,214029064,264371253,197653633,190017771,262950387,273242391,171070441,159764055,147419014,147419015,272993623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5138233, s2 = 4020572, dlinesl.size( ) = 28 s1 = 7247380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7203899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7202675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7202675, s2 = 6653011, int(edited[s2]) = 0 s1 = 7202675, s2 = 6653011, d1 = 42, d2 = 34 Dl.O(d1) = 263945023,265414875 Dl.O(d2) = 258787366,51960034,256974092,25052667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7202675, s2 = 6653011, dlinesl.size( ) = 54 s1 = 7233593, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7233599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5140201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5140201, s2 = 491667, int(edited[s2]) = 0 s1 = 5140201, s2 = 491667, d1 = 30, d2 = 107 Dl.O(d1) = 213600490 Dl.O(d2) = 267778246,9741816,14170595,12508540,8473740,5477447,3370633,1983447,1983448,3370639,3721257,4929505,2973432,1725542,980990,980989,1725535,2564439,1476759,1476758,2564448,4289207,4292224,4292225,4292614,6841200,7272856,10987036,255250381,9090978,9090977,6801940,4265634,2550311,1469133,831074,831075,1469138,2550323,4247272,6775954,6343219,3979727,2385106,1380695,785509,445078,445074,785501,254211357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5140201, s2 = 491667, dlinesl.size( ) = 2 s1 = 5140201, s2 = 491667, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5140201, Dl.E( ) = 112, 4.29e-05 seconds used appending s1 = 7342551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8688041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8688041, s2 = 3710840, int(edited[s2]) = 0 s1 = 8688041, s2 = 3710840, d1 = 92, d2 = 18 Dl.O(d1) = 196897634,264042937,189157890,180220257,180220256,189157887,196897533,189157780,180220194,180220193,189157778,196897529,203521199,209068300,213621269,273920319,189157947,189157948,189157880,180220253,170056872,170056871,180220252,180220316,180220315,189157974,189157795,189157794,196897554,203521222,264345367,209068492,264862207,213621420,264617643,264862198,209068306,209068305,213621271,264345371,203521301,203521300,203521317,274140536,158699596,146331302,133104055,133104054,146331300,158699591,170056861,180220238,189157864,273782537,196897673,189157888,189157886,196897670,203521340,209068302,203521201,196897740,196897741,196897745,189157947,189157948,189157880,180220253,170056872,158699600,158699601,170056874,262452589,146331311,133104060,119274153,105081219,90901454,90901453,105081218,119274150,133104056,261952471,170056868,180220247,189157876,196897657,196897604,196897605,203521271,209068324,213621270,274140535,203521321,209068427,213621360,213621395,217349373,220454076,223090796,220454072,265284304,217349336,213621408,264862209,217349364,264617644,196897701,189157911,189157910,196897702,263704450,203521294,264345346,203521269,196897603,189157846,189157845,196897621,196897625,196897624,203521294,209068362,203521251,196897591,189157820,189157819,196897567,262913858,196897534,262452586,209068357,203521335,203521336,263704450,203521294,209068362,209068361,213621307,209068410,263704444,203521292,203521291,203521368,264345348,203521269,196897603,189157846,189157845,196897621,203521290,209068390,203521270,196897604,196897605,203521271,203521227,261952468,189157854,262452586,209068357,203521335,203521336,263704450,203521294,209068362,203521251,196897591,196897590,196897570,196897569,203521230,209068335,264862195,213621387,213621386,213621414,209068509,209068360,203521249,203521248,209068358,209068405,264042935,189157850,180220232,170056854,158699586,261415635,119274148,119274147,261415633,158699582,170056845,180220210,189157805,196897566,189157912,180220288,262913863,170056855,263329931,196897629,189157957,189157958,196897758,203521210,196897544,189157786,180220197,263329925,189157801,196897565,196897730,189157929,263704455,180220281,180220282,189157918,196897710,203521382,209068464,209068467,203521417,196897760,189157960,180220307,170056906,158699624,146331326,146331327,158699627,170056910,263329943,263704459,180220304,170056903,158699621,146331324,146331323,158699617,170056897,180220298,189157943,264345369,213621411,213621407,209068500,203521401,203521400,209068499,213621351,217349340,265083909,265083903,217349339,213621350,209068413,203521309,273920313,196897672,189157888,189157887,196897533,189157780,180220194,180220195,189157784,196897538,203521204,209068305,213621271,264345371,196897756,189157957,180220305,263329941,196897753 Dl.O(d2) = 128389848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8688041, s2 = 3710840, dlinesl.size( ) = 42 s1 = 5141343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5141420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5141441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5394228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5143208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7234404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234404, s2 = 8843011, int(edited[s2]) = 0 s1 = 7234404, s2 = 8843011, d1 = 11, d2 = 11 Dl.O(d1) = 264351491,213796979,217482988,265289089,223172085,265636561,265357182 Dl.O(d2) = 264351491,213796979,217482988,265289089,223172085,265636561,265357182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234404, s2 = 8843011, dlinesl.size( ) = 2 s1 = 7234404, s2 = 8843011, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7234404, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 5235057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5235529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13805145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359138, s2 = 13813035, int(edited[s2]) = 0 s1 = 10359138, s2 = 13813035, d1 = 10, d2 = 4 Dl.O(d1) = 220577137,217505271 Dl.O(d2) = 217505274,213822219,209333150,273962004,203860294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359138, s2 = 13813035, dlinesl.size( ) = 2 s1 = 10359138, s2 = 13813035, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 10359138, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 8780135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7276513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7276513, s2 = 11304154, int(edited[s2]) = 0 s1 = 7276513, s2 = 11304154, d1 = 102, d2 = 130 Dl.O(d1) = 264871111 Dl.O(d2) = 271029621,77416170,64266199,52410810,42066932 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5144811, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8715249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5145496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5145496, s2 = 11607366, int(edited[s2]) = 0 s1 = 5145496, s2 = 11607366, d1 = 8, d2 = 27 Dl.O(d1) = 213890844 Dl.O(d2) = 236991152,266819739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5145496, s2 = 11607366, dlinesl.size( ) = 36 s1 = 7312775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7312775, s2 = 5145737, int(edited[s2]) = 0 s1 = 7312775, s2 = 5145737, d1 = 12, d2 = 0 Dl.O(d1) = 265294238 Dl.O(d2) = 213896210 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5145738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5145738, s2 = 7312776, int(edited[s2]) = 0 s1 = 5145738, s2 = 7312776, d1 = 1, d2 = 13 Dl.O(d1) = 213896211 Dl.O(d2) = 265294239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8781856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5145997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5146305, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5237777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7256637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7719557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10250255, s2 = 5398407, int(edited[s2]) = 0 s1 = 10250255, s2 = 5398407, d1 = 19, d2 = 17 Dl.O(d1) = 261981839,262939045,189862804,264363445 Dl.O(d2) = 223260078,265794101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10250255, s2 = 5398407, dlinesl.size( ) = 20 s1 = 5048438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5239884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8761615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7740251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7740251, s2 = 14244509, int(edited[s2]) = 0 s1 = 7740251, s2 = 14244509, d1 = 27, d2 = 41 Dl.O(d1) = 274151798 Dl.O(d2) = 254664604,13582157,9299951,6092069,6092070,6105241,9300095,6092136,6092133,7420384,9300095,6092136,6092133,4689166,4689164,7420343,9345175,13580893,19026699,13672721,9363133,9363132,9363119,9363076,6133015,6133014,9363072,13672634,19148161,25705012,25705002,25705003,254150676,12951592,12608840,8557729,8557728,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917551,6011598,6011594,9185009,268746145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7740251, s2 = 14244509, dlinesl.size( ) = 30 s1 = 5149428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5149428, s2 = 5759444, int(edited[s2]) = 0 s1 = 5149428, s2 = 5759444, d1 = 0, d2 = 19 Dl.O(d1) = 213997411 Dl.O(d2) = 233605854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5149428, s2 = 5759444, dlinesl.size( ) = 30 s1 = 8831926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10357749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357749, s2 = 8308166, int(edited[s2]) = 0 s1 = 10357749, s2 = 8308166, d1 = 28, d2 = 0 Dl.O(d1) = 261412951,154347434,166096121,261000314,147407692,147407691,273242216,262949802,197647261,264370701,214023965,217677985,220727348,220727347,220727348,265484294,190010801,264070637,209573222,264775844 Dl.O(d2) = 23691480,23691479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10357749, s2 = 8308166, dlinesl.size( ) = 8 s1 = 9740806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356011, s2 = 11612214, int(edited[s2]) = 0 s1 = 10356011, s2 = 11612214, d1 = 37, d2 = 83 Dl.O(d1) = 165393816 Dl.O(d2) = 241571207,241137712,274852226 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7236551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7236551, s2 = 5254322, int(edited[s2]) = 0 s1 = 7236551, s2 = 5254322, d1 = 27, d2 = 2 Dl.O(d1) = 264376449 Dl.O(d2) = 218375990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7236551, s2 = 5254322, dlinesl.size( ) = 20 s1 = 13809575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7748120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7329812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5244240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5244273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5244273, s2 = 14138548, int(edited[s2]) = 0 s1 = 5244273, s2 = 14138548, d1 = 5, d2 = 13 Dl.O(d1) = 217801067 Dl.O(d2) = 220831288,223411957,225643451,274407700,223397874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5244273, s2 = 14138548, dlinesl.size( ) = 2 s1 = 5244273, s2 = 14138548, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5244273, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11660882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8766174, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8741729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13713321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5247212, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8719017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5159616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5159616, s2 = 7331541, int(edited[s2]) = 0 s1 = 5159616, s2 = 7331541, d1 = 0, d2 = 2 Dl.O(d1) = 214743071 Dl.O(d2) = 265510718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5159616, s2 = 7331541, dlinesl.size( ) = 2 s1 = 5159616, s2 = 7331541, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5159616, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8665321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238302, s2 = 11545348, int(edited[s2]) = 0 s1 = 7238302, s2 = 11545348, d1 = 9, d2 = 9 Dl.O(d1) = 264411247,214751321,218238171,265325939,223676426,223676427,265666093,229409537,230886721,232210545,233405565,234491131,235479357,236380796,237204206,237954945,238638104 Dl.O(d2) = 264411247,214751321,218238171,265325939,223676426,223676427,265666093,229409537,230886721,232210545,233405565,234491131,235479357,236380796,237204206,237954945,238638104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238302, s2 = 11545348, dlinesl.size( ) = 2 s1 = 7238302, s2 = 11545348, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7238302, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7238399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238399, s2 = 15078386, int(edited[s2]) = 0 s1 = 7238399, s2 = 15078386, d1 = 0, d2 = 0 Dl.O(d1) = 263014221,191678915,199081660,264412385,214762983,218248768,214762986,210527203,205343503,199081662,199081661,205343502,210527202,214762985,265131183,223685351,223685356,221177351,221177352,223685358,225858416,225858415,223685355,221177348,218248772,214762988,214762984,264412387,199081663,264118479,210527208,264915111,221177349,218248773,214762989,210527206,205343505,199081663,264118479,210527207,212051769,216042918,214762988,214762987,265131185,265250628,219349851,219349854,216042921,212051772,207166503,201242126,194204253,185987872,176563656,261846466,141488784 Dl.O(d2) = 263014221,191678915,199081660,264412385,214762983,218248768,214762986,210527203,205343503,199081662,199081661,205343502,210527202,214762985,265131183,223685351,223685356,221177351,221177352,223685358,225858416,225858415,223685355,221177348,218248772,214762988,214762984,264412387,199081663,264118479,210527208,264915111,221177349,218248773,214762989,210527206,205343505,199081663,264118479,210527207,212051769,216042918,214762988,214762987,265131185,265250628,219349851,219349854,216042921,212051772,207166503,201242126,194204253,185987872,176563656,261846466,141488784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238399, s2 = 15078386, dlinesl.size( ) = 2 s1 = 7238399, s2 = 15078386, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7238399, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 5160334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5250994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8719369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5333762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13307405, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9267097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9267097, s2 = 14054994, int(edited[s2]) = 0 s1 = 9267097, s2 = 14054994, d1 = 95, d2 = 49 Dl.O(d1) = 210570747,210570748,210570749 Dl.O(d2) = 19363941,26042747,33864772,42910324,255692560 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4565343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7076406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7076406, s2 = 10829957, int(edited[s2]) = 0 s1 = 7076406, s2 = 10829957, d1 = 17, d2 = 2 Dl.O(d1) = 262232050,210628630,214846526 Dl.O(d2) = 40285805,40285804,257083687,31528266,256536195,257089269,40285804,257083687,31528266,255578731,12499450,12499451,17675541,24025963,31528282,40214162,40214163,43002780,43002781,53479711,65502222,65501980,65501981,61713538,50234378,40214142,31528217,31528218,40214145,50234387,61713540,61709137,53942096,53942097,61713587,53479718,256690681,33946917,269126187,53942088,61709131,50228403,40207070,31521274,31521275,40207074,50228407,61709138,66879007,74495034,61713613,50234486,40214228,31528276,31528275,40214226,50228479,50234442,50228440,40207096,31521287,31521286,40207093,50228433,50234453,43415618,256191263,26436154,256711343,53479720,53479721,50228417,40207080,31521280,24019900,17670875,17670876,256029859,40207084,50228421,61709144,53942116,53942117,53942139,66012193,74491690,61709160,61709159,50228473,40207126,34314500,34314499,257117051,40732828,43415639,34314506,26436164,24019918,17670886,12495972,8464245,8464246,12495974,17670889,24019924,31521319,40207115,50228456,50228419,40207083,31521292,31521293,257083129,269403179,40207104,40207105,50228445,50228397,40207065,31521271,24019895,17670873,17670871,24019891,24430304,24430320,24430319,31984822,40207052,50228385,50837648,40732772,31984780,31984781,40732763,40732764,40732838,31984817,31984818,40732840,50837718,50228449,40732782,40732785,40732787,31984786,24430303,18017415,18017414,24430301,31984783,40732779,50837658,59032784,50837743,40732867,256058425,18017434,12769854,12769855,18017436,256058427,37708317,29148020,21839981,15770328,15770329,21839983,29148024,36934842,36934839,31203075,31203077,29148051,29148052,268932487,37708281,47630575,50228466,59032785,47630636,37708330,31984854,24430340,24430342,256567285,46485846,47630666,47630665,47630696,37708406,37708405,46813083,42747424,36934640,28435752,28435751,36934636,268608907,28435722,36934587,42577814,46812845,46812846,36934623,36934624,36934509,36934508,46812816,46812859,46812876,36934561,29148045,29148044,37708357,36934549,36934548,36934784,257424165,36934773,36934772,46813056,46485857,46485856,53196513,58180000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7076406, s2 = 10829957, dlinesl.size( ) = 12 s1 = 9239761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9239761, s2 = 4566502, int(edited[s2]) = 0 s1 = 9239761, s2 = 4566502, d1 = 35, d2 = 39 Dl.O(d1) = 262080233,173503680,263797019,263797021,205485049,264682295 Dl.O(d2) = 214861618,218330962,264987612,214861619,264213834,263539500,183305806,183305807,263797021,265953499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9239761, s2 = 4566502, dlinesl.size( ) = 32 s1 = 5162836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5252889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5252889, s2 = 6445079, int(edited[s2]) = 0 s1 = 5252889, s2 = 6445079, d1 = 98, d2 = 110 Dl.O(d1) = 218340055 Dl.O(d2) = 254510577 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5253133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166026, s2 = 14162455, int(edited[s2]) = 0 s1 = 14166026, s2 = 14162455, d1 = 9, d2 = 23 Dl.O(d1) = 72040080 Dl.O(d2) = 264376298,199273767,191903857,183336493,173537200,162501243,272402940,123597038,109405233,95151188,81093793,67628224,55290269,44446075,35071613,35071612,44446074,55290266,67628220,81093791,71107103,60821267,258223629,257076132,57703768,46354544,36496711,28033963,28033965,36496717,32555766,24905335,18401429,18401430,24220711,31727374,40419102,50453413,42192825,33232775,33232776,37013947,30879807,30879806,39485430,46817801,36939744,36939745,46817789,36939735,36939736,46817791,58184259,70897511,268381744,38569271,38569270,256854336,35307048,27187319,20263586,14538591,10002884,10002883,14538590,20263584,23771154,31255654,39930673,49947976,58013542,257122130,28257887,28257888,31569115,31569116,37080353,28576329,24103873,24103874,31606361,40289702,38871479,38871478,48793934,50301076,61780354,256662834,256662836,72503541,62000862,257102049,40474120,269295259,49934595,61412870,74191659,73188353,60441329,60441328,49037357,39107551,256461595,23095227,23095226,30510565,257005961,49037355,60441326,73188351,86800654,100781539,114833643,128733499,142091798,154729768,166439652,177025224,263588733,194544577,264253751,207415956,212266956,216230311,219515720,222291363,224674556,226743764,228548182,230134643,231543050,232805723,266344241,234987502,235934236,236797176,237582393,238295582,238694429,266593032,236458084,235563563,234581544,266117918,231000482,229533101,227881064,265389880,218454140,214997614,210795034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166026, s2 = 14162455, dlinesl.size( ) = 2 s1 = 14166026, s2 = 14162455, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166026, Dl.E( ) = 28, 3.1e-05 seconds used appending s1 = 5253275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9578636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9578636, s2 = 9632470, int(edited[s2]) = 0 s1 = 9578636, s2 = 9632470, d1 = 264, d2 = 273 Dl.O(d1) = 274254376,205521653,205521652,264422139 Dl.O(d2) = 236693427,235822621,234866055,233816284,232662290,231385412,229961031,228355831 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8783875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8783875, s2 = 11379584, int(edited[s2]) = 0 s1 = 8783875, s2 = 11379584, d1 = 100, d2 = 153 Dl.O(d1) = 259988512,173574283,183369373,191932333,199298653,263145084,273715668 Dl.O(d2) = 273120630,191932332 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7239389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7239391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7175296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8781421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16364941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5031800, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10258271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8844300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8636517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8636517, s2 = 8832551, int(edited[s2]) = 0 s1 = 8636517, s2 = 8832551, d1 = 7, d2 = 7 Dl.O(d1) = 173646923,183436817,191994751,199356592,205584686,210736087,214944061,218405716,221314270,223805673,225964996,227848762 Dl.O(d2) = 173646923,183436817,191994751,199356592,205584686,210736087,214944061,218405716,221314270,223805673,225964996,227848762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8636517, s2 = 8832551, dlinesl.size( ) = 2 s1 = 8636517, s2 = 8832551, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8636517, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4055621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4055621, s2 = 11569679, int(edited[s2]) = 0 s1 = 4055621, s2 = 11569679, d1 = 3, d2 = 93 Dl.O(d1) = 150622481,150622482,274075204 Dl.O(d2) = 234574743,266400331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4055621, s2 = 11569679, dlinesl.size( ) = 30 s1 = 13554033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13554033, s2 = 9768810, int(edited[s2]) = 0 s1 = 13554033, s2 = 9768810, d1 = 7, d2 = 8 Dl.O(d1) = 84049533,84049534,97920197,86102045,72503275 Dl.O(d2) = 48386245,38483558,29923368,22563867,22563866,22563879,255919247,38483577,38483565,38483564,48386251,59769053,55719404,55719405,68115839,81604519,81604520,95637370,109840881,123980487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13554033, s2 = 9768810, dlinesl.size( ) = 2 s1 = 13554033, s2 = 9768810, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13554033, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 7240211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9725302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9725302, s2 = 14209472, int(edited[s2]) = 0 s1 = 9725302, s2 = 14209472, d1 = 28, d2 = 39 Dl.O(d1) = 223746431,274142940,227799627,229457289,265636918,233440587,234522555,235508348,235565766,234584039,233505764,232318416,231003744,229536958,227885320,226005547,265508356 Dl.O(d2) = 264919052,199442002,192095002,183559587,173803596,162826269,262568076,137819795,124176436,110046916,95825877,81760450,81760449,68236053,55807769,269629230,35437605,31851870,31851873,40550150,257691877,74876600,88512636,102520395,259548969,74876588,62078355,50586156,40550147,40550148,257691875,270407683,88512625,74876580,74876572,62078346,62078345,259548967,74876575,74876576,88512619,102520388,272085634,270922281,74876584,88512628,74876590,74876593,259548975,116624229,130468861,136257857,122284430,107871290,93443567,79312784,65948638,53881618,256707549,26379708,268526739,43357162,53881621,65948643,270598171,259109575,79312774,79312771,259109571,260358503,260358505,136257853,140966126,127616443,113747521,259372347,72184779,59446685,59446686,72184782,85779058,79312767,257862395,257862393,53881611,43357154,43357155,257862391,79312765,93443553,99732981,93443570,79312788,79312789,93443572,107871292,260590355,259372349,270839393,259990369,99732975,113747516,271616003,93443551,79312764,258479839,258479837,85779049,258123889,48055099,48055098,50586664,62078849,74877089,74877085,62078845,50586659,256560093,268693327,31852456,31852455,40550714,50586663,258301171,259990370,258123890,72184775,59446682,268941943,29574817,22227605,16093903,11178256,7416708,7416710,11178258,16093908,22227610,256391839,31852453,24332412,17943772,12715107,12715108,17943773,24332414,268693329,50586670,62078851,74877093,88513061,259366188,99732968,106753084,92448235,78412498,78412497,72184791,59446693,48055108,38141467,29574821,29574822,38141468,48055111,59446696,257508063,38066165,29502926,22163447,16041583,11138630,11138631,255452587,29502928,38066168,47978148,59368313,72100921,65130869,53145902,53145903,65130872,78412502,85779043,258117846,113648895,259366186,99732985,85779067,258741275,47978142,38066160,29502923,29502924,256927891,59368310,72100913,85686831,268940248,78412499,92448237,99635582,99635581,113648884,127520296,260584634,113648888,113648889,260062672,87876986,74274433,74274434,87876987,85686825,72100908,257508061,47978145,59368307,72100906,85686822,99635591,113648897,261161599,127520303,113648890,113648891,127520305,140875874,259998812,109861089,109861088,121005685,257590434,84397590,255964192,268099290,28382217,36878460,46757145,268422352,84397587,98306700,112288964,123999326,137680149,127520309,127520308,270870898,139524241,152255842,141070296,127719597,113848730,113848729,127719595,141070291,271364286,137680150,126148942,112288966,112288967,126148946,259445932,259445930,126148936,126148935,113648886,99635586,99635585,271798163,259380822,81625001,68135141,68135140,81624998,95658042,109861094,123999333,137680154,137680203,137680159,137680147,123999324,109861085,109861084,123999323,137680144,126148939,126148938,137680197,123999379,109861128,109861129,123999382,271803662,140639065,127293252,127293253,140639067,153317750,153551262,153551261,165342170,261783202,272582804,173769420,162770282,162770283,262238336,162770294,272859652,261175760,261175758,137680152,123999330,258755890,81625012,68135149,55737315,55737316,257523208,95658065,109861134,109861107,109861108,259998818,150676237,261723618,162770290,260598900,123999340,109861101,109861102,123999342,137680165,123999368,109861120,109861119,123999364,137680184,150676258,141070283,127719572,127719571,141070235,272211664,259380828,95658060,81625009,68135146,68135147,259810309,123999377,260598914,162770296,261723616,162770307,260598902,123999351,123999338,259998814,133850425,123999356,123999355,137680171,261175768,150676231,261175762,127719529,113848676,113848675,127719526,141070233,137680187,123999370,109861122,109861124,123999374,137680188,150676262,137680195,137680194,150676264,150676244,259998822,109861111,258132724,81625007,95658056,91525921,91525920,105749593,119984197,133850427,273236705,189818460,185646598,176188438,165512681,153736441,153736442,162770314,150676253,137680178,137680179,150676255,261723620,262202490,149520693,136257867,136257868,149520697,261723622,162770305,150676241,150676240,162770303,260598908,123999357,123999358,137680174,150676250,261175764,137680170,261175766,273300139,199430868,262716642,173769439,162770311,150676251,137680177,137680176,149520689,161825350,262238338,263123258,172992608,161825356,161825355,172992606,182894156,189818463,180933351,170806376,159468614,147094432,147094433,159468616,149520706,136257878,136257879,149520710,262202492,162770300,162770301,172992602,161825352,149520691,136257866,122284448,107871319,107871321,122284450,136257869,149520700,161825359,263004711,191541321,191541318,191541317,187416667,178191503,170806374,159468611,147094431,133850430,119984198,119984199,260598910,159468620,167736643,178191491,187416661,262202488,198972968,262202486,172992598,161825347,149520688,136257863,122284446,122284445,259339532,93443600,258713632,136257874,149520704,161825361,172992613,182894161,273113080,189818466,180933354,170806371,170806372,178191498,259958584,143598544,130270782,130270781,143598541,143598521,143598522,156133377,260558730,167736651,260558738,167736657,156133400,156133401,167736659,178191508,178191502,259958586,143598556,130270794,116433578,102340292,102340293,116433580,130270798,143598560,156133404,167736663,167736640,156133368,258713622,130270764,259339522,143598515,130270787,116433573,116433572,130270784,143227706,155778300,167408715,177901353,168266935,168266936,260558740,270828592,130270800,257479600,88344083,255863834,50433363,50433362,255863832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9725302, s2 = 14209472, dlinesl.size( ) = 42 s1 = 5223458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7161382, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7102938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7102938, s2 = 8890439, int(edited[s2]) = 0 s1 = 7102938, s2 = 8890439, d1 = 58, d2 = 100 Dl.O(d1) = 262621422,210931262,215103059 Dl.O(d2) = 266204452,235583129,266204450,234602300,233525053,232339539,274624223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7102938, s2 = 8890439, dlinesl.size( ) = 70 s1 = 8859069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5259378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5259723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5170976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13745125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5260597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5171485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5171485, s2 = 13062153, int(edited[s2]) = 0 s1 = 5171485, s2 = 13062153, d1 = 65, d2 = 79 Dl.O(d1) = 215166330,274177213,215166332,218596329,221483257 Dl.O(d2) = 6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772577,5818461,3629583,2167798,1254641,713576,713579,1254652,2167837,3629668,5818634,8916258,13084005,14913411,20808739,18337677,18337676,256108439,41149580,41149581,51334967,255623070,37155510,37155509,258617449,36420700,36420701,44542647,36420699,27962476,27962478,26240233,19523063,13975927,13975925,19523058,14479147,9962226,255334387,27077431,35165061,44542664,53703811,47006795,255834680,21375319,15398084,10642344,10642343,15398081,21380378,28616623,32547886,24898667,18396053,13066501,255631805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5171485, s2 = 13062153, dlinesl.size( ) = 64 s1 = 8878886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5261044, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15054853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7300343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7300343, s2 = 7135124, int(edited[s2]) = 0 s1 = 7300343, s2 = 7135124, d1 = 78, d2 = 77 Dl.O(d1) = 265156636 Dl.O(d2) = 263065021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7429920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7429920, s2 = 11016404, int(edited[s2]) = 0 s1 = 7429920, s2 = 11016404, d1 = 73, d2 = 80 Dl.O(d1) = 266571944 Dl.O(d2) = 46438998,46439000,57794335,46439004,46439005,57794343,70495282,70503522,258997558,65937002,258478947,53869825,256706681,26368500,256186713,43344962,258503835,34605612,34605611,42065829,33116922,33116923,29585703,22238018,254750074,11185105,16102777,255864086,23950784,17605030,12426731,12426730,17605027,23950779,25697849,31424104,31424105,36946312,28446546,21220424,21220423,28446542,36946309,46824226,55729587,68127590,55729608,44821597,35395546,35395545,44821595,37902520,29333998,29333999,37902522,29334006,29334005,37902526,37902559,37902558,44821556,38920140,38920139,44821559,55729564,47824141,47824142,59207185,47807847,37884396,29315520,29315519,29573216,37902466,29333950,22003045,15902748,15902749,22003048,29333954,37902468,37884480,37884437,29315559,21987315,21987314,268936739,26898223,26898222,34977585,44355286,55205922,55729099,55729100,68127090,57977920,46600879,36712712,36712713,46600877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7429920, s2 = 11016404, dlinesl.size( ) = 46 s1 = 7192403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8722337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7164873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5172941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13355017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13355017, s2 = 11356582, int(edited[s2]) = 0 s1 = 13355017, s2 = 11356582, d1 = 48, d2 = 39 Dl.O(d1) = 60609564,59535138,54675911,43933358,256721384,26667675,34659884,43933362,49139111,49460449,49460447,60863437,60539073,49139068,39212262,30615712,256469335,37325428,47234168,47741880,47741881,47741891,39494310,256650372,71878821,268749144,49424198,47741894,47741892,52663771,49424201,49424200,257206348,30615739,30615740,38036092,39494275,31813351,31813352,33295255,25533758,25533759,257206339,42276444,39494317,30887983,23455907,17178155,12078272,12078273,255539471,30887985,30523395,30523394,25533971,18922885,18922884,25533968,30887992,23455909,23455908,30887990,254837902,254837904,38036044,38036030,38036031,30505637,23091053,16836528,16836529,23091057,30505645,31813348,31813349,39217517,47949635,38036062,38036057,29473225,29473222,30658272,23237008,16964916,16964917,23237010,30658276,28907645,22136794,16020331,16020332,22136796,29473201,38036006,30615734,30615735,39212287,256882599,37446803,47353339,58740934,59340986,47949647,42811561,42296598,42296599,47941253,58740921,47353312,37446776,28907671,25896409,19236276,19236275,25896403,19302375,13801254,13801253,19302372,25968785,33778887,42811453,39148857,33778429,25968407,25968409,33778430,33778149,33778150,42810691,53263838,59560748,256943829,29698520,29698521,37449960,28910335,21635692,21635693,28910337,36954957,42296601,35251950,35251949,44636380,55486341,257696814,58351218,65254393,53264691,48174084,38264472,38264471,46833313,36954990,36954989,38264479,37098104,28591428,28591427,33778155,42810696,44636370,55486331,257324421,44636371,55486333,65254696,257523845,257523843,46833327,256943831,256308093,21227071,21227070,28454316,256039885,17807282,17807283,20242167,14525043,14525044,20242169,27153206,21227063,21227061,16461510,11469749,11469750,16461513,14525078,14525081,16461655,16461656,22653777,16461543,16461542,22653774,22653786,30027141,22653771,16461539,16461538,22653766,22653872,30027262,38600189,38600227,38600000,30027088,22653721,22653723,24379867,268266976,22653863,30027245,22653893,20242228,20242229,16461591,16461593,22653862,30027243,30027395,22653969,22653968,30027393,38600211,30027280 Dl.O(d2) = 259153908,257151830,62158974,256739250,255739344,14384324,9889941,6498595,6498594,9889940,14383916,9889540,6498255,4071861,4071862,2726859,2726860,4536515,7200540,6497438,4071354,4070788,2435907,2435904,2942752,2942753,2433865,1407619,1407618,2433861,4067363,6491277,4074000,2437668,2437670,4074009,6501678,9880185,9880186,254766238,16590131,11569860,254973663,6500415,6500417,7203390,4538268,4538271,7203404,9870997,6484478,6484474,8351233,9877683,9877684,7145588,7145589,9866440,9866442,14358833,16291315,15731143,10894543,9888472,9888471,10889857,7201520,4537134,4537136,7196079,6504578,4499239,2703741,1566689,1566687,2703766,4060527,6479862,4076941,254470585,2439350,1410361,1410360,2439345,2786080,4625931,257904025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13355017, s2 = 11356582, dlinesl.size( ) = 40 s1 = 5173559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5173559, s2 = 5384612, int(edited[s2]) = 0 s1 = 5173559, s2 = 5384612, d1 = 0, d2 = 10 Dl.O(d1) = 215232762 Dl.O(d2) = 222699217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5173559, s2 = 5384612, dlinesl.size( ) = 2 s1 = 5173559, s2 = 5384612, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5173559, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 5173588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5173588, s2 = 7532917, int(edited[s2]) = 0 s1 = 5173588, s2 = 7532917, d1 = 114, d2 = 79 Dl.O(d1) = 215233804,264403086,218654674 Dl.O(d2) = 267559202,275041658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5173588, s2 = 7532917, dlinesl.size( ) = 2 s1 = 5173588, s2 = 7532917, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5173588, Dl.E( ) = 124, 2.79e-05 seconds used appending s1 = 5173713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13869565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8569510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7165642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7165642, s2 = 11562372, int(edited[s2]) = 0 s1 = 7165642, s2 = 11562372, d1 = 39, d2 = 67 Dl.O(d1) = 263475643 Dl.O(d2) = 265160523,265529945,265835567,265773650,226157578,265969275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7165642, s2 = 11562372, dlinesl.size( ) = 48 s1 = 5262954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7241663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7241663, s2 = 7317790, int(edited[s2]) = 0 s1 = 7241663, s2 = 7317790, d1 = 84, d2 = 85 Dl.O(d1) = 264451829 Dl.O(d2) = 265354162 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8640940, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7116708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7116708, s2 = 14277353, int(edited[s2]) = 0 s1 = 7116708, s2 = 14277353, d1 = 33, d2 = 40 Dl.O(d1) = 262786420 Dl.O(d2) = 263142941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7116708, s2 = 14277353, dlinesl.size( ) = 2 s1 = 7116708, s2 = 14277353, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7116708, Dl.E( ) = 70, 2.6e-05 seconds used appending s1 = 8834102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5264101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5264101, s2 = 13756356, int(edited[s2]) = 0 s1 = 5264101, s2 = 13756356, d1 = 10, d2 = 9 Dl.O(d1) = 218731429 Dl.O(d2) = 215337862,211230758,206204052,200124541,192924875,184531048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5264101, s2 = 13756356, dlinesl.size( ) = 30 s1 = 5264706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5176097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5176097, s2 = 14194448, int(edited[s2]) = 0 s1 = 5176097, s2 = 14194448, d1 = 23, d2 = 52 Dl.O(d1) = 215353954 Dl.O(d2) = 152520261,164384000,175173267,184747594,193107551,200281677,272528434,199814608,192538693,184083945,174430665,163590113,151711232,139007193,259262602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5176097, s2 = 14194448, dlinesl.size( ) = 2 s1 = 5176097, s2 = 14194448, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5176097, Dl.E( ) = 58, 1.5e-05 seconds used appending s1 = 7732107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7732107, s2 = 14295402, int(edited[s2]) = 0 s1 = 7732107, s2 = 14295402, d1 = 19, d2 = 31 Dl.O(d1) = 273975785 Dl.O(d2) = 49452426,47000282,47000281,37114456,28605065,21371138,15390767,10636440,10636441,15390770,21371143,28605073,37114470,256470294,23205724,30577215,30577214,268968999,47000222,37114395,37114396,47000224,47067187,37174536,28656302,28656301,256864361,30628380,23205723,16935220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7732107, s2 = 14295402, dlinesl.size( ) = 2 s1 = 7732107, s2 = 14295402, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7732107, Dl.E( ) = 52, 3.6e-05 seconds used appending s1 = 9581319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9581319, s2 = 10192095, int(edited[s2]) = 0 s1 = 9581319, s2 = 10192095, d1 = 43, d2 = 34 Dl.O(d1) = 142161447,128806824,114909763,100859252,86878727,73266721,256471010,47927319,38012982,32141520,32141519,40918626,255969928,40918531,32141351,24559329,24558234,18120128,12848585,12848584,18120122,24558221,21533645,21533643,28799729,37104987,39028182,30438752,30438753,35147848,44524533,255970096,33730675,33730676,37867026,255164122,35147975,27062192,22652021,22652020,25427557,18834058,13418969,9174865,9174868,13418980,18834082,25427599,33170033,37460177,30217627,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,27095974,23059955,16812268,11756429,7849589,7849588,6924177,6924179,10500804,15223106,21184872,28406050,36900379,36897985,30886734,23454773,17177254,17177255,23454776,28406092,28406093,36903469,46781264,58148818,70862962,84420271,98329651,112312747,126173482,139548959,152280133,262284568,263483659,200162798,206236531,211258939,215362506,218753303,221616197,221616196 Dl.O(d2) = 102693304,88683941,258930031,62210506,50690826,268695771,17984487,12746011,12746010,12746619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9581319, s2 = 10192095, dlinesl.size( ) = 8 s1 = 5265871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8679906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8679906, s2 = 6012445, int(edited[s2]) = 0 s1 = 8679906, s2 = 6012445, d1 = 3, d2 = 17 Dl.O(d1) = 206267792 Dl.O(d2) = 265413246,232451441,233622196,266013090,235658281,236543555,237351811,274700160,239371243,238756553,238756554,239371245,239937226,239937227,239937228,239371244,239371245,239937229,240460885,240946600,241396307,241631090,241631089,241631091,241200414,266684456,239690919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8679906, s2 = 6012445, dlinesl.size( ) = 2 s1 = 8679906, s2 = 6012445, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8679906, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 7270465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7270465, s2 = 10160889, int(edited[s2]) = 0 s1 = 7270465, s2 = 10160889, d1 = 17, d2 = 73 Dl.O(d1) = 264797937,215415727,215415728 Dl.O(d2) = 63226667,52362370,52362371,52360648,44597946,35217079,35217077,44597942,36750845,255805171,21053959,21053958,256293605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7270465, s2 = 10160889, dlinesl.size( ) = 2 s1 = 7270465, s2 = 10160889, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7270465, Dl.E( ) = 110, 4.2e-05 seconds used appending s1 = 5267172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5267172, s2 = 7384878, int(edited[s2]) = 0 s1 = 5267172, s2 = 7384878, d1 = 0, d2 = 15 Dl.O(d1) = 218806984 Dl.O(d2) = 265362641,266099093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5267172, s2 = 7384878, dlinesl.size( ) = 2 s1 = 5267172, s2 = 7384878, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5267172, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 13240491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7288947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7288947, s2 = 9678792, int(edited[s2]) = 0 s1 = 7288947, s2 = 9678792, d1 = 8, d2 = 17 Dl.O(d1) = 265016657,218817492 Dl.O(d2) = 200262300,193085011,184721837,175144315,164351282,164351283,175144316,184721839,263853331,264465101,200262307,200262305,200262304,193085013,193085012,200262299,193085015,184721838,184721839,263853331,264465101,200262307,200262305,200262304,193085013,193085012,200262299,193085015,193085016,193085019,184721845,175144320,164351285,152483559,139762658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7288947, s2 = 9678792, dlinesl.size( ) = 2 s1 = 7288947, s2 = 9678792, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7288947, Dl.E( ) = 18, 2.6e-05 seconds used appending s1 = 13867679, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7243071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7243282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5180943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8699339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9258679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8835114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8835114, s2 = 6994796, int(edited[s2]) = 0 s1 = 8835114, s2 = 6994796, d1 = 78, d2 = 0 Dl.O(d1) = 264967149,215541187,218921574,221773790,264967145,215541178,218921564 Dl.O(d2) = 200401337,263505799,175350632,164588576,152753753,261116041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8835114, s2 = 6994796, dlinesl.size( ) = 68 s1 = 9671371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7201399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7201399, s2 = 11345400, int(edited[s2]) = 0 s1 = 7201399, s2 = 11345400, d1 = 44, d2 = 26 Dl.O(d1) = 263930275,207284792,207284794,264064254,215564279,212158767 Dl.O(d2) = 260287090 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5184095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5184174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8735474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8735474, s2 = 7514850, int(edited[s2]) = 0 s1 = 8735474, s2 = 7514850, d1 = 90, d2 = 141 Dl.O(d1) = 272620044,184979661,175435478,263867773,264305828 Dl.O(d2) = 267205305,243646167,243903713,244143814,267311787,267394351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8735474, s2 = 7514850, dlinesl.size( ) = 90 s1 = 9720480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9778920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10258929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5186183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9240362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8347503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8347503, s2 = 10140443, int(edited[s2]) = 0 s1 = 8347503, s2 = 10140443, d1 = 104, d2 = 107 Dl.O(d1) = 265332511,264683767,273609628,6512038,9908023,14098551,254678107,6377482,9696783,9907897,6511964,4080752,4080751,2441841,254153055,803419,1412047,2441839,4080800,6512037,9908019,14405232,20041819,254970471,9864945,14357053,255739065,35008876,257046526,44437941,55282024,50988798,44386771,35009392,26927729,26927730,35009358,26927696,26927695,20091774,14405030,9907872,9907871,14405027,20091767,26980430,35063810,44437920,55282029,55282027,55282028,65000161,53025494,42585736,33568853,33568852,33020613 Dl.O(d2) = 53174962,42725376,267986622,33694775,39354317,37032039,28534194,21311631,15341631,15341630,21311630,23681388,17361211,12231500,8259178,6906525,4337862,4337861,6906521,9410883,9410882,6906358,4337763,2596901,1498066,848925,848927,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474516,10474526,8540205,8540204,12587970,10510513,6930948,4354688,2608469,2608470,4354693,6930959,5538228,3423702,3423699,5538218,8540132,12587884,17785326,24152572,31264762,31264760,39939761,37972537,29408845,25463709,25463708,24103548,17744987,12555703,12555704,254191272,10437631,10437634,10709457,10709455,15486955,21492954,17439569,12638655,8581040,8581038,12638651,17740195,12681387,8613104,5598469,5598470,8613107,12252564,8274966,8274965,8275336,12253101,15185407,12593779,8544967,8544968,12593789,15488076,15488078,17898768,12678932,12678934,17816422,12614006,8562209,5559312,3443981,2038931,2038934,1701500,1701499,2933716,4868486,3398627,3398626,5510499,8510411,12551889,12555524,8562273,7693140,7693139,11559994,8566996,8566995,12620639,12537747,8499199,8499200,8499215,8499213,12537768,12622468,11594689,7718439,4885349,2943806,2943804,4885342,7718425,11594659,13441232,11506329,10289604,10289602,12522781,10746752,10746755,15539040,15539041,17824110,21559967,24152270,17785023,12587609,8539922,8539882,5537958,254107652,12587543,17784945,24152214,254418980,17831887,17831888,24085156,254278402,16881784,17780845,19700787,16889331,16889326,23150032,254275550,267746390,254080664,8490275,12528770,17711307,12528760,12528758,12540358,8501231,8501234,9411423,9411421,12543611,11560176,7693266,4868562,2933744,254276272,7359927,4649120,4649119,7359925,11097787,15986153,15986263,12544005,8503289,8503290,12544008,17730354,24087692,24078832,22181607,22181606,17739982,12552013,12552012,12527557,8489204,5490235,5490236,8489211,12527578,254278352,31570986,38614267,38614268,40409150,40409149,255086112,40409116,34972295,26893151,26893150,33695660,28268603,21851374,17774492,17774493,24138758,27041564,27041566,24141455,24083357,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24071112,17714875,17714878,12599286,12599284,17798841,14129013,14129011,12680347,9719014,9719013,8550171,8550170,12599213,9719600,6393972,4012499,2404708,2404709,4012504,6393986,7107304,7107302,10757504,11661797,11661794,12299684,17448698,20150111,22313456,16167928,14332430,14332431,20012241,24067750,24152061,24152062,18578334,13202754,13202755,18578338,14332587,14332585,12529346,8490669,5491458,5491459,8490674,8987011,8987013,8550234,5548818,3434415,2031538,2031537,3434433,5548853,8550309,11593683,7717501,4884612,4884611,7717499,11593681,255086444,255902550,31676131,31676130,35129017,39849559,39849558,40370360,31676119,24166906,17799241,17799240,24166905,255086066,23695392,268437461,29667741,29667742,23399371,23399372,23332507,17065952,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,1427771,1427770,2470173,4129391,4129392,6591329,10029311,14331929,9845354,6466260,4051471,4051474,6466269,9845375,14331967,16171891,16171894,22317074,17712231,17712233,17739868,16171586,11239120,11239121,10986173,10986172,15851826,16171581,22316714,23769537,23769535,31253754,37643737,36763129,29095146,21797562,15738051,12523569,10435903,10435905,15130670,21062658,15132266,10436816,10436817,10986072,7272098,7272097,10436155,6879973,6591316,4129383,4129380,4318804,4318803,6880197,4318718,4318715,6880188,10436582,14169104,14169106,15075456,11657275,11657274,11275040,11275039,15131071,15129025,15129028,21062329,23341652,17075518,11988320,11988319,10435193,10435191,15129525,257412321,44800292,44800291,52551152,52007624,41695987,41695985,255020714 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660716, s2 = 9344510, int(edited[s2]) = 0 s1 = 11660716, s2 = 9344510, d1 = 25, d2 = 29 Dl.O(d1) = 258867263,61333121,61333120,74115440,87720964,260106955,115739402,129635957,142963442,155512910,167146061,175642488,164886447,263087650,140351246,126996938,113138785,99148473,85225939,71660423,58939005,47557105,37651841,37651840,37651844,47557111,58939012,71660431,58939010,58939011,71660427,58939008,258088037,85225940,99148475,99148477,99148478,113138789,126996946,140351251,153048963,164886455,175642498,175642496,175642497,185177832,273699436,175642505,175642506,185177840,185177836,185177837,263876263,200624594,264483813 Dl.O(d2) = 265280721,217259486,217259487,274138759,188968725,272972435,18500672,13144059,8958472,5847388,3649097,2181457,1264327,720574,407903,407902,720572,1264324,2181453,3649093,5847379,8958457,13144042,15592217,10786422,10786421,15592216,21622709,28898050,37438585,47345718,58733522,71463276,85035167,98960109,112949181,114316371,100286044,86323922,72726408,59989052,48597149,38680897,30103788,254643092,14586630,10289400,10289399,13285517,9068702,9068697,13285504,18678370,25249113,32971354,41910775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660716, s2 = 9344510, dlinesl.size( ) = 28 s1 = 13815627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5187442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9263709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9263709, s2 = 7037110, int(edited[s2]) = 0 s1 = 9263709, s2 = 7037110, d1 = 35, d2 = 21 Dl.O(d1) = 261079296,265352479,264743731,264198887,263878413,206686832,211645809,215699775 Dl.O(d2) = 261687537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9263709, s2 = 7037110, dlinesl.size( ) = 8 s1 = 7303480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5276659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5276659, s2 = 11332400, int(edited[s2]) = 0 s1 = 5276659, s2 = 11332400, d1 = 5, d2 = 34 Dl.O(d1) = 219076883 Dl.O(d2) = 273343672,263129566,175819464,165093348,261693259,127251705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5276659, s2 = 11332400, dlinesl.size( ) = 38 s1 = 15750453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15750453, s2 = 5276689, int(edited[s2]) = 0 s1 = 15750453, s2 = 5276689, d1 = 6, d2 = 0 Dl.O(d1) = 99394023,85453208,71868215 Dl.O(d2) = 219078474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15750453, s2 = 5276689, dlinesl.size( ) = 2 s1 = 15750453, s2 = 5276689, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 15750453, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5189010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5277184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9733727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4608988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4608988, s2 = 8731563, int(edited[s2]) = 0 s1 = 4608988, s2 = 8731563, d1 = 96, d2 = 149 Dl.O(d1) = 185355008,175852451,262341910,262213125,262692999,273541121,194607809,186457445,177106847,265414431,274291238 Dl.O(d2) = 263127475,140563600,140563599,273114385,264745467,265553549,221897356,265379354,226434202,224326069,264487538,263880752,200710505,263523113,175792727,165062538,165062539,175792728,263523115,200710508,206709639,264977798,201588830,200710571,193599951,185303198,175792770,165062562,153244984,153244983,165062559,175792758,185303183,185303228,175792798,165062582,153244992,153244990,165062574,263127455 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9036918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9036918, s2 = 10344440, int(edited[s2]) = 0 s1 = 9036918, s2 = 10344440, d1 = 10, d2 = 2 Dl.O(d1) = 256523530,115135117,258884672,261292698,262814376,263627858,215747025,211699134,211699132,215747022,219094686,221921368,224347722,222370367,219606415 Dl.O(d2) = 259358020,37849302,29281447,256370943,37923906,256918683,31482711,23985888,255185699,8433002,12464310,255575297,15086426,15086424,255444339,11052439,11052438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9036918, s2 = 10344440, dlinesl.size( ) = 2 s1 = 9036918, s2 = 10344440, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9036918, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 5190057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5190057, s2 = 13882408, int(edited[s2]) = 0 s1 = 5190057, s2 = 13882408, d1 = 0, d2 = 0 Dl.O(d1) = 185393443,175903158,175903157,263529377,264206001,211718479,215763963,219109852,221934663,221934660,221934661,224359977,226465868,228299965,229909487,231337757,232617795,231337748,231337746,231337745,229909481,228299960,228299957,226465863,224359974,224359973,226465861,228299952,265990843 Dl.O(d2) = 185393443,175903158,175903157,263529377,264206001,211718479,215763963,219109852,221934663,221934660,221934661,224359977,226465868,228299965,229909487,231337757,232617795,231337748,231337746,231337745,229909481,228299960,228299957,226465863,224359974,224359973,226465861,228299952,265990843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5190057, s2 = 13882408, dlinesl.size( ) = 2 s1 = 5190057, s2 = 13882408, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5190057, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7303698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7303698, s2 = 4874711, int(edited[s2]) = 0 s1 = 7303698, s2 = 4874711, d1 = 27, d2 = 33 Dl.O(d1) = 265191930 Dl.O(d2) = 206769714,200778399 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5277698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5277698, s2 = 7303699, int(edited[s2]) = 0 s1 = 5277698, s2 = 7303699, d1 = 25, d2 = 33 Dl.O(d1) = 219110505 Dl.O(d2) = 265191931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13814583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13791033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7349940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7349940, s2 = 859688, int(edited[s2]) = 0 s1 = 7349940, s2 = 859688, d1 = 78, d2 = 67 Dl.O(d1) = 221948884,265715149,224372983,221948883,219125914 Dl.O(d2) = 22043533,29374338 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5190843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5190843, s2 = 5358793, int(edited[s2]) = 0 s1 = 5190843, s2 = 5358793, d1 = 7, d2 = 7 Dl.O(d1) = 215783918,219127391,221950271 Dl.O(d2) = 215783918,219127391,221950271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5190843, s2 = 5358793, dlinesl.size( ) = 2 s1 = 5190843, s2 = 5358793, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5190843, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 10259109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7303947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5191608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5191608, s2 = 4435404, int(edited[s2]) = 0 s1 = 5191608, s2 = 4435404, d1 = 6, d2 = 0 Dl.O(d1) = 215803380 Dl.O(d2) = 175016321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5191608, s2 = 4435404, dlinesl.size( ) = 14 s1 = 7245672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7245672, s2 = 6673302, int(edited[s2]) = 0 s1 = 7245672, s2 = 6673302, d1 = 43, d2 = 58 Dl.O(d1) = 264495897 Dl.O(d2) = 4411709,2645370,2645369,4411707,7016234,10629580,15381678,16744537,11699686,11699687,16744540,21386173,25312804,18735695,13337661,13337660,255654449,33040589,36990858,46869565,37089006,257186523,33040557,25312759,18735665,18735666,25312761,21495230,15488941,255839873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7245672, s2 = 6673302, dlinesl.size( ) = 36 s1 = 10262145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10262145, s2 = 11659675, int(edited[s2]) = 0 s1 = 10262145, s2 = 11659675, d1 = 11, d2 = 8 Dl.O(d1) = 261418258,134638284,120841122,106592869,93441241,93441240,107868941,122282163,136255726,149518650,149518651,161823293,172990747,261954854,173217542,273493227,188354715,179305583,261486506,145126895,131869876,118045261,118045260,131869874,145126891,157559615,169020677,179305578,188354708,263381468,202978174,202978175,206821883,208627873,211765562,211765563,264461896,211765558,215805418,219146795,265168598,224390543,264956498,219146791,264956500 Dl.O(d2) = 176011566,185484696,262160752,261089288,261089290,165317216,176011573,263849051,193025427,193025428,193886698,185632179,185632178,185632177,176171397,165492826,153714069,141046994,141046995,127697250,113827731,270841497,72267643,59533577,48146278,48146277,59533571,48146273,38236353,38236354,38236362,38236363,43070669,34012868,26171100,26171099,34012865,43070667,53549632,65574496,72267655,72267645,72267644,72267654,59533585,59533584,48146291,38236371,29671019,29671018,38236369,48146288,48146281,48146280,59533582,72267652,85859349,85859350,99812636,99812637,85859351,84660938,84660934,71098073,58381556,47010473,47010475,44363548,34985771,34985772,28612680,28612681,28612671,21377130,15395433,10640183,10640182,15395432,21377129,28612669,37123522,47010478,58381561,71098081,84660942,98584398,98584400,84660943,71098084,71098085,256377518,269334100,98584414,258673799,58381572,47010493,37123532,28612678,21377134,15395436,15395435,21377132,28612674,37123525,37123524,47010479,58381563,258673797,98584401,112578329,126447080,126447083,139819939,152536666,152536670,152536668,139819942,139819943,139061554,125722673,111905250,97968047,97968048,259884623,97968051,84094414,70558048,57856514,57856515,70558049,84094416,84094427,97968070,259884625,111905260,97968059,97968058,111905259,261065683,261411698,139061569,151763640,163638935,174474987,261948458,163638932,174474982,184123549,177881510,167386782,155754082,155754081,167386780,177881508,177881511,177881506,167386784,155754083,143201668,129872180,115974557,101930015,101930016,101930019,101930018,115974561,101930021,101930020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10262145, s2 = 11659675, dlinesl.size( ) = 8 s1 = 5191770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5191770, s2 = 2021566, int(edited[s2]) = 0 s1 = 5191770, s2 = 2021566, d1 = 8, d2 = 28 Dl.O(d1) = 215806830 Dl.O(d2) = 52545280,42186502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5191770, s2 = 2021566, dlinesl.size( ) = 2 s1 = 5191770, s2 = 2021566, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5191770, Dl.E( ) = 38, 1.1e-05 seconds used appending s1 = 8849259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5192775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9522569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5193416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5280868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5280868, s2 = 628661, int(edited[s2]) = 0 s1 = 5280868, s2 = 628661, d1 = 9, d2 = 15 Dl.O(d1) = 219189129 Dl.O(d2) = 16102596,11184980,267890469,2825841,1639534,932347,525524,525523,932322,1639471,2825715,4689408,2825627,2825624,4689401,254352522,4666176,4666177,7386074,11135488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5280868, s2 = 628661, dlinesl.size( ) = 2 s1 = 5280868, s2 = 628661, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5280868, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 6496077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6496077, s2 = 14166039, int(edited[s2]) = 0 s1 = 6496077, s2 = 14166039, d1 = 0, d2 = 0 Dl.O(d1) = 3547649,3547648,254627031,255221293,24606613,255708050,32358239,267939718,12965291,8824457,5749629,3580066,2133373,2133372,3580062,254630503,12965241,18268867,24741890,32358196,41174043,257731153,76024671,272753440,157558144,157558165,169018957,179303702,188352753,196234319,188352738,179303691,262994500,145125651,262418607,179303693,179303696,188352747,264021645,208626617,213270051,217069441,265456683,227200243,228947141,230488650,231860399,232660759,231383692,265157416,264944270,224424785,222007633,219192711,215857596,211825512,206889843,262135308,261060922,165428568,153647650,140980412,127630978,113762232,99747931,85794256,72200422,59462904,48072244,38159528,29593133,22244423,22244424,29593135,26734872,26734873,20826812,14928419,10265439,10265438,10391541,10391540,10354675,6819037,4277499,2557441,2557439,4277518,6819093,8584945,5578418,5578421,6603432,4231541,4231542,6099803,9311859,10880865,10880864,15717719,21776934,22277094,16134160,16134161,254363132,28003534,36462385,255794492,257399184,125457241,138786119,151487594,260481868,168503196,261634950,131431845,259902176,75643461,62699374,256843090,37097498,31161534,23673074,17353696,17353697,22359504,23012322,23012323,20820485,19689185,19689186,26426663,24363084,17967729,17967730,24363086,18878926,13455094,9201373,9201374,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,18885094,255260614,25489149,20793987,14901638,14901637,18885203,17129099,12037895,12037894,255219139,24569080,32152578,40929972,51070361,62699373,261899919,168503192,264011147,201524943,273499386,177010690,262085866,142075050,128715606,114815490,270634838,49019436,60423279,258326442,65394318,260330219,135253192 Dl.O(d2) = 3547649,3547648,254627031,255221293,24606613,255708050,32358239,267939718,12965291,8824457,5749629,3580066,2133373,2133372,3580062,254630503,12965241,18268867,24741890,32358196,41174043,257731153,76024671,272753440,157558144,157558165,169018957,179303702,188352753,196234319,188352738,179303691,262994500,145125651,262418607,179303693,179303696,188352747,264021645,208626617,213270051,217069441,265456683,227200243,228947141,230488650,231860399,232660759,231383692,265157416,264944270,224424785,222007633,219192711,215857596,211825512,206889843,262135308,261060922,165428568,153647650,140980412,127630978,113762232,99747931,85794256,72200422,59462904,48072244,38159528,29593133,22244423,22244424,29593135,26734872,26734873,20826812,14928419,10265439,10265438,10391541,10391540,10354675,6819037,4277499,2557441,2557439,4277518,6819093,8584945,5578418,5578421,6603432,4231541,4231542,6099803,9311859,10880865,10880864,15717719,21776934,22277094,16134160,16134161,254363132,28003534,36462385,255794492,257399184,125457241,138786119,151487594,260481868,168503196,261634950,131431845,259902176,75643461,62699374,256843090,37097498,31161534,23673074,17353696,17353697,22359504,23012322,23012323,20820485,19689185,19689186,26426663,24363084,17967729,17967730,24363086,18878926,13455094,9201373,9201374,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,18885094,255260614,25489149,20793987,14901638,14901637,18885203,17129099,12037895,12037894,255219139,24569080,32152578,40929972,51070361,62699373,261899919,168503192,264011147,201524943,273499386,177010690,262085866,142075050,128715606,114815490,270634838,49019436,60423279,258326442,65394318,260330219,135253192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6496077, s2 = 14166039, dlinesl.size( ) = 2 s1 = 6496077, s2 = 14166039, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 6496077, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13807679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7251431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8822933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4998799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8598528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8598528, s2 = 6626779, int(edited[s2]) = 0 s1 = 8598528, s2 = 6626779, d1 = 74, d2 = 60 Dl.O(d1) = 271585136,185817569,273722131,211956994,215964830 Dl.O(d2) = 256680101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13774497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8771879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7041342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7041342, s2 = 11256102, int(edited[s2]) = 0 s1 = 7041342, s2 = 11256102, d1 = 59, d2 = 29 Dl.O(d1) = 261738843,262730157,185855737,194084461,201134964,207075476,211977403,215982512,219299309,222100603,265725785,265735392,226597388,226597390,224506860,224506861,224506865,222100616,219299315,265206997,265569107,265840923,226228256,224096850,221639417,218777802,218777804,221639420,224096852,265694787,229711840,231156374,231156382,231156381,232451500,266009262,265694789,226228265,224506864,265219210,211977406,264246840 Dl.O(d2) = 258282559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7041342, s2 = 11256102, dlinesl.size( ) = 8 s1 = 7305277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7305277, s2 = 11434772, int(edited[s2]) = 0 s1 = 7305277, s2 = 11434772, d1 = 51, d2 = 0 Dl.O(d1) = 265208057 Dl.O(d2) = 176508070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7305277, s2 = 11434772, dlinesl.size( ) = 70 s1 = 5198419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5198419, s2 = 8195933, int(edited[s2]) = 0 s1 = 5198419, s2 = 8195933, d1 = 137, d2 = 163 Dl.O(d1) = 216019005,216019006 Dl.O(d2) = 7923256,7923254,7923311,7923465,7923463,11855731,16939994,23211754,30634845,39232824,256616818,60559149,73302649,258374538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5198419, s2 = 8195933, dlinesl.size( ) = 44 s1 = 8662900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13864127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8730060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8730060, s2 = 8752408, int(edited[s2]) = 0 s1 = 8730060, s2 = 8752408, d1 = 10, d2 = 28 Dl.O(d1) = 262748320 Dl.O(d2) = 222161123,264241040,212074349,207191346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8863047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7305625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7247681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7247681, s2 = 12660897, int(edited[s2]) = 0 s1 = 7247681, s2 = 12660897, d1 = 64, d2 = 14 Dl.O(d1) = 264520499 Dl.O(d2) = 92555468 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8807977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5201395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5201395, s2 = 2443709, int(edited[s2]) = 0 s1 = 5201395, s2 = 2443709, d1 = 105, d2 = 6 Dl.O(d1) = 216092206,216092207,219394315,265099744,226660930,228474291,230067681,228474279,226660915,224579995,222184296,219394303,216092198,264065064,207227755,264365766,219394299,222184290,224579987,226660907,228474274,230067673,231481710,231481709,265795518,228474289,228474288,230067693,265645114,226660919,226660918 Dl.O(d2) = 67829874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5201395, s2 = 2443709, dlinesl.size( ) = 2 s1 = 5201395, s2 = 2443709, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5201395, Dl.E( ) = 112, 5.41e-05 seconds used appending s1 = 5288135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5288135, s2 = 15281504, int(edited[s2]) = 0 s1 = 5288135, s2 = 15281504, d1 = 21, d2 = 31 Dl.O(d1) = 219395122 Dl.O(d2) = 89583752,103699643,260799763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5288135, s2 = 15281504, dlinesl.size( ) = 18 s1 = 7280691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280691, s2 = 7668768, int(edited[s2]) = 0 s1 = 7280691, s2 = 7668768, d1 = 36, d2 = 26 Dl.O(d1) = 264925897,265335711 Dl.O(d2) = 271819843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280691, s2 = 7668768, dlinesl.size( ) = 40 s1 = 5107752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5107752, s2 = 13881213, int(edited[s2]) = 0 s1 = 5107752, s2 = 13881213, d1 = 98, d2 = 100 Dl.O(d1) = 212125805,216111088 Dl.O(d2) = 230778428,229277661,227579725,225638768,265484000,265103278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5107752, s2 = 13881213, dlinesl.size( ) = 96 s1 = 7248057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8772845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5290354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7306369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7306369, s2 = 9724167, int(edited[s2]) = 0 s1 = 7306369, s2 = 9724167, d1 = 43, d2 = 59 Dl.O(d1) = 265219640,216159983,216159982,219456296,222240881,224631124 Dl.O(d2) = 226706814,228515954,226706812,226706813,226706850,226706849,228515916,228515986,265580079,224631205,265408385,222240939,224631198,224631212,222240958,222240957,222240947,219456343,219456344,222240935,219456332,216160004,212181660,207311226,207311225,212181658,265012289,222240918,224631175,222240927,219456328,216160002,216160001,265219651,222240918,224631175,222240927,219456328,219456327,222240926,224631182,222240922,222240923,224631184,226706837,265879227,226706865,265735839,230105729,230105719,230105718,230105723,230105724,228515995,228515996,228515963,228515962,228515920,228515921,265879223,226706776,224631138,222240889,222240888,224631136,224631209,224631208,266009679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7306369, s2 = 9724167, dlinesl.size( ) = 22 s1 = 5290870, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5204621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7733624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9625534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5205938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5293329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9605826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9605826, s2 = 16056322, int(edited[s2]) = 0 s1 = 9605826, s2 = 16056322, d1 = 26, d2 = 0 Dl.O(d1) = 264517761,201241691,194203746,185987283,176562929,165914378,154153385,154153384,165914377,176562928,185987281,194203744,201241690,207166113,212051401,216042612,219349559,265399619,219550176,216268946,264590990 Dl.O(d2) = 85870224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9605826, s2 = 16056322, dlinesl.size( ) = 2 s1 = 9605826, s2 = 16056322, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9605826, Dl.E( ) = 28, 1.41e-05 seconds used appending s1 = 10360744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360744, s2 = 7253665, int(edited[s2]) = 0 s1 = 10360744, s2 = 7253665, d1 = 64, d2 = 60 Dl.O(d1) = 266346452 Dl.O(d2) = 264591766 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7338533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13982649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5208893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5295377, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8141091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13817191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8783582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13543765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7750354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5017384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5212747, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8885536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13787935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10253045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5213801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5214231, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5299843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7462943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13828735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8810610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7251249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13834921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8696796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8696796, s2 = 5578885, int(edited[s2]) = 0 s1 = 8696796, s2 = 5578885, d1 = 38, d2 = 22 Dl.O(d1) = 261611308,273085876,207881395,212665069,216575280,219817102,222553311,219817092,219817091,264155084,212665060,212665061,264155086,222553298,224902966,222553317,219817096 Dl.O(d2) = 228722133,228513248,265832550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8696796, s2 = 5578885, dlinesl.size( ) = 2 s1 = 8696796, s2 = 5578885, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8696796, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 9279292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5452272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5452272, s2 = 13779954, int(edited[s2]) = 0 s1 = 5452272, s2 = 13779954, d1 = 17, d2 = 42 Dl.O(d1) = 224919507,274291600 Dl.O(d2) = 219839134,264816730,202117377,195218222,195218223,202117395,207916119,212694628,216600878,212694635,207916116,202117393,195218220,263243968,155747139,155747137,167380186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5452272, s2 = 13779954, dlinesl.size( ) = 34 s1 = 13779953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9303486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9303486, s2 = 5216981, int(edited[s2]) = 0 s1 = 9303486, s2 = 5216981, d1 = 10, d2 = 0 Dl.O(d1) = 265818607,230932348,232251914,232949504,232949505,234081767,232949503,231698261,231698260,232949501,231698263,230306060,228740731,226962962,224924135 Dl.O(d2) = 216606533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9303486, s2 = 5216981, dlinesl.size( ) = 2 s1 = 9303486, s2 = 5216981, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9303486, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 5302363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5217224, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7251858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7251858, s2 = 5944303, int(edited[s2]) = 0 s1 = 7251858, s2 = 5944303, d1 = 56, d2 = 0 Dl.O(d1) = 264568817 Dl.O(d2) = 238129381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7251858, s2 = 5944303, dlinesl.size( ) = 22 s1 = 10358757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8734342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8734342, s2 = 8734341, int(edited[s2]) = 0 s1 = 8734342, s2 = 8734341, d1 = 12, d2 = 11 Dl.O(d1) = 256532278,257662550,127160855,264742553,219040846 Dl.O(d2) = 207960564,265046009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8734342, s2 = 8734341, dlinesl.size( ) = 14 s1 = 8734340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8734340, s2 = 8734343, int(edited[s2]) = 0 s1 = 8734340, s2 = 8734343, d1 = 10, d2 = 13 Dl.O(d1) = 265046008,219872246 Dl.O(d2) = 202171347,264742552,74452833,257662551,256532279,17632980,17632981,23979829,256532277,23979827,255184595,254599629,5436968,8417877,5454705,5434040,3340505,3340506,1969847,1969848,3350531,1969881,1969880,3350623,3342422,3342420,5430781,8415187,8415977,8413951,5429923,5429924,8405987,8405986,8440469,257068090,5382398,3309813,1947171,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855018,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291422,2226590,254440257,9089242,6750613,6750612,7469573,9073698,5933739,3710200,3710201,5933743,5921877,3702948,2217869,2217868,3702941,5921870,9057320,5921606,5921605,4262168,2548150,2548151,4260017,4259964,2547883,2546723,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249291,6771669,6771667,6779050,4249745,2540614,1463771,828346,828347,1463775,254322849,4278610,2558164,2558166,2558140,1473455,833313,833314,1473457,2558143,4278573,3465414,3465415,5585702,3465509,3465508,4295223,6845305,5588079,4295234,2567935,2567936,3713025,5938162,9079614,10356490,9784621,6432871,5588653,5588652,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267568,13307639,9089028,255650963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8734340, s2 = 8734343, dlinesl.size( ) = 14 s1 = 9571168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8776274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8776274, s2 = 4345882, int(edited[s2]) = 0 s1 = 8776274, s2 = 4345882, d1 = 34, d2 = 0 Dl.O(d1) = 265046548,212740278,212740279,216642802 Dl.O(d2) = 167524708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8776274, s2 = 4345882, dlinesl.size( ) = 36 s1 = 5382011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5382011, s2 = 4166913, int(edited[s2]) = 0 s1 = 5382011, s2 = 4166913, d1 = 24, d2 = 0 Dl.O(d1) = 222619754,219890869 Dl.O(d2) = 155945683,262259650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5382011, s2 = 4166913, dlinesl.size( ) = 44 s1 = 7120197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7120197, s2 = 8501440, int(edited[s2]) = 0 s1 = 7120197, s2 = 8501440, d1 = 11, d2 = 18 Dl.O(d1) = 262827057,264572237 Dl.O(d2) = 263420976,271144834,61741649,50263093,40243585,40243584,50263091,61741645,74523556,271867945,74523556,262748951,154289092,259420094,271353111,257563681,268414531,2936313,2936312,4872811,7699184,267972886,4765335,2937267,2798777,2798778,4646282,2936454,1702895,967989,967991,1702903,2936471,4873103,7146633,7146634,10738919,10738922,7095354,7095355,10738944,15527363,21544175,22802455,18254568,16292540,16292539,22460396,255741051,14380775,9886548,9886549,255325861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7120197, s2 = 8501440, dlinesl.size( ) = 14 s1 = 5219140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7372704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7309346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7309346, s2 = 7193685, int(edited[s2]) = 0 s1 = 7309346, s2 = 7193685, d1 = 63, d2 = 17 Dl.O(d1) = 265252822 Dl.O(d2) = 200137426,200137425,273975249,264458300,263844914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7309346, s2 = 7193685, dlinesl.size( ) = 14 s1 = 8840629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8840629, s2 = 11019250, int(edited[s2]) = 0 s1 = 8840629, s2 = 11019250, d1 = 47, d2 = 30 Dl.O(d1) = 262359173,264295503,264823573,265252917,222634435,224975022,227008248,228782033,266149911,231733138,266259149,230344391,274478499,265438865 Dl.O(d2) = 260984758,269634808,257302664,256211770,21482832,15479300,10704202,10704109,7071806,7071808,10704123,15479178,12145776,8175580,5245159,3203659,1875992,1875994,3203698,5245234,8175712,9759349,9759348,14196884,17841367,254645630,23578009,23578010,31061577,26386616,19652149,19652150,21520417,15508904,15508902,21520414,28784045,31720585,24213322,17843059,254784928,8579064,12635407,17843063,24213325,21104331,21104332,19654592,14088030,14088031,11089882,7354839,4646029,2798652,1623470,1623471,2798656,4646044,6732694,4218156,4218155,6732688,10247056,14903469,17720143,16564242,16564241,13017763,13017764,15159061,10454278,6891329,4326112,4326114,4326147,4326145,2588184,2588182,4326175,6891449,10454646,7911780,5029607,3044822,1773360,1010837,569723,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,593917,331088,182315,100015,100017,182323,331117,593981,1056408,1851038,3161712,3161710,5182028,8088103,12030823,17117159,17120600,254526250,39425644,42628630,33603912,25806334,19159129,19159130,25806336,33603916,26316808,26316807,29743147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8840629, s2 = 11019250, dlinesl.size( ) = 20 s1 = 7316429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8732489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7252849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7252930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10258562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5307664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5307664, s2 = 4257399, int(edited[s2]) = 0 s1 = 5307664, s2 = 4257399, d1 = 32, d2 = 20 Dl.O(d1) = 220003087 Dl.O(d2) = 163663255,163663260,163663258,163663259,264450517,265430879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5307664, s2 = 4257399, dlinesl.size( ) = 26 s1 = 5307791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5307791, s2 = 5641130, int(edited[s2]) = 0 s1 = 5307791, s2 = 5641130, d1 = 8, d2 = 10 Dl.O(d1) = 220005696,220005697,222719981,225051502,222719985,220005701,216790380,263338526,202409058 Dl.O(d2) = 212910830,212910863,216790382,216790381,216790346,216790345,220005663,222719935,222803312,264835402,213070016,213070017,216917362,220107367,265089396,225122652,227138132,274436470,228897101,230447457,231825287,233064369,234184332,235202601,236129855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5307791, s2 = 5641130, dlinesl.size( ) = 2 s1 = 5307791, s2 = 5641130, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5307791, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 5223194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5223824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8841395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8841395, s2 = 16005102, int(edited[s2]) = 0 s1 = 8841395, s2 = 16005102, d1 = 42, d2 = 3 Dl.O(d1) = 225084016,274297747,265061020,224642001 Dl.O(d2) = 30813498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8841395, s2 = 16005102, dlinesl.size( ) = 2 s1 = 8841395, s2 = 16005102, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8841395, Dl.E( ) = 44, 3.19e-05 seconds used appending s1 = 11660870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660870, s2 = 5224547, int(edited[s2]) = 0 s1 = 11660870, s2 = 5224547, d1 = 3, d2 = 0 Dl.O(d1) = 222768145 Dl.O(d2) = 216867322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660870, s2 = 5224547, dlinesl.size( ) = 16 s1 = 7341318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7341318, s2 = 11532402, int(edited[s2]) = 0 s1 = 7341318, s2 = 11532402, d1 = 77, d2 = 106 Dl.O(d1) = 265617054 Dl.O(d2) = 229743298,265697607,224134039 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5224698, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5309413, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6455882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6455882, s2 = 11537492, int(edited[s2]) = 0 s1 = 6455882, s2 = 11537492, d1 = 33, d2 = 37 Dl.O(d1) = 254676096,32093933,40865596,47088610,47088609,51000390,62623108,273411187,273902573,213023996,216880738 Dl.O(d2) = 227121120,274571039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6455882, s2 = 11537492, dlinesl.size( ) = 38 s1 = 7253666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7253666, s2 = 10360745, int(edited[s2]) = 0 s1 = 7253666, s2 = 10360745, d1 = 61, d2 = 65 Dl.O(d1) = 264591767 Dl.O(d2) = 266346453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660572, s2 = 13841672, int(edited[s2]) = 0 s1 = 11660572, s2 = 13841672, d1 = 0, d2 = 0 Dl.O(d1) = 8943908,13122142,18470438,24994465,255332224,256223352,76734995,90601017,90601018,104773091,118965347,132798233,146030820,158408990,146030827,132798240,259790886,131427506,131427505,144650175,157048596,168496600,168496597,168496598,178803296,263031118,202637109,208346192,213054866,213054864,208346191,264131226,216905244,220097814,222795541,265139852,265139850,227132965,227132966,227132962,227132961,265335000,264924908,216905248 Dl.O(d2) = 8943908,13122142,18470438,24994465,255332224,256223352,76734995,90601017,90601018,104773091,118965347,132798233,146030820,158408990,146030827,132798240,259790886,131427506,131427505,144650175,157048596,168496600,168496597,168496598,178803296,263031118,202637109,208346192,213054866,213054864,208346191,264131226,216905244,220097814,222795541,265139852,265139850,227132965,227132966,227132962,227132961,265335000,264924908,216905248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660572, s2 = 13841672, dlinesl.size( ) = 2 s1 = 11660572, s2 = 13841672, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 11660572, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7729855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7240116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5226503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7254052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355077, s2 = 10174764, int(edited[s2]) = 0 s1 = 10355077, s2 = 10174764, d1 = 41, d2 = 34 Dl.O(d1) = 77027418,90907275,261952615 Dl.O(d2) = 48264639,59651576,72385994,85980932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355077, s2 = 10174764, dlinesl.size( ) = 36 s1 = 7254073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10357693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7254295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7254295, s2 = 10358068, int(edited[s2]) = 0 s1 = 7254295, s2 = 10358068, d1 = 39, d2 = 82 Dl.O(d1) = 264601575,217066970 Dl.O(d2) = 231859377,233094304,233094299,231859373,231859375,274610622,230487501,228945784,227198616,225198067,222896214,220223367,217066966,213350397,208732505,264331914,196228656,264326765,213267141,274484876,225198078,265276042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7254295, s2 = 10358068, dlinesl.size( ) = 24 s1 = 9222543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9222543, s2 = 8004279, int(edited[s2]) = 0 s1 = 9222543, s2 = 8004279, d1 = 121, d2 = 113 Dl.O(d1) = 260812613,145217716,272955003,274369854,264602775 Dl.O(d2) = 256843870,21203331,15237611,10511508,254493590,2608749,2608753,4355101,4603541,5574143,3457820,2049946,2049949,254419793,8578838,12635078,17842606,19818251,21072815,15136796,15136797,16690704,16690703,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,12146779,12146781,12637838,8580540,5575012,3458267,3458266,5575003,8580518,12637806,12634763,8578630,8578629,6417385,6416448,4025502,4025503,6416452,9758630,9758761,9758759,14195959,17845458,17846636,19666765,19659370,18535292,13170104,8977669,8977668,13170124,14195861,16210331,11268430,7480247,4727347,4727349,7480258,11268447,14088160,14088159,11546694,7682162,4860916,4860913,7682150,11546670,9695057,9695060,13066155,13066160,16568755,16566504,16566501,17846046,14088418,14088421,19655091,14093254,9760237,6417314,4025915,2412516,2412515,4025911,6417301,9691464,6374511,6374514,9691475,8087244,8087246,12029466,17118076,21243096,15275937,10542226,10542224,15275930,21243086,16645124,16645123,16578228,11558785,11558786,16578232,22794901,26397053,19663015,14094503,9694092,9694091,14094500,19663007,26397045,22783677,16568006,16568007,17779883,12583138,8535762,8535760,12583134,15021163,19651801,19651799,26386310,34263839,26389427,267767442,14489431,10703675,10703676,15478310,15478313,10703687,10703684,14903815,20796757,27958349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9222543, s2 = 8004279, dlinesl.size( ) = 38 s1 = 7295417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5228967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7705535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5313502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8827352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8806963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8779023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8779023, s2 = 13766868, int(edited[s2]) = 0 s1 = 8779023, s2 = 13766868, d1 = 0, d2 = 0 Dl.O(d1) = 169831825,180009742,188967391,196728551,196728548,264339741,264589282,273596260,196728550,203371317,208938482,213512014,208938479,208938480,208938476,208938477,213512012,217258327,220378050,220378052,220378051,220378052,217258329,213512016,208938481,264005400,203371318,208938485,213512020,213512016,213512015,217258328,264837332,217258328,217258325,217258327,217258331,213512018,208938484,273596260,188967390,188967391,196728552,203371318,208938486,264589286,220378053 Dl.O(d2) = 169831825,180009742,188967391,196728551,196728548,264339741,264589282,273596260,196728550,203371317,208938482,213512014,208938479,208938480,208938476,208938477,213512012,217258327,220378050,220378052,220378051,220378052,217258329,213512016,208938481,264005400,203371318,208938485,213512020,213512016,213512015,217258328,264837332,217258328,217258325,217258327,217258331,213512018,208938484,273596260,188967390,188967391,196728552,203371318,208938486,264589286,220378053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8779023, s2 = 13766868, dlinesl.size( ) = 2 s1 = 8779023, s2 = 13766868, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8779023, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5315672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8781820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7327770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7327770, s2 = 8627974, int(edited[s2]) = 0 s1 = 7327770, s2 = 8627974, d1 = 20, d2 = 18 Dl.O(d1) = 265465643,220431774 Dl.O(d2) = 273622643,146280288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7327770, s2 = 8627974, dlinesl.size( ) = 14 s1 = 7401192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7401192, s2 = 1109852, int(edited[s2]) = 0 s1 = 7401192, s2 = 1109852, d1 = 77, d2 = 147 Dl.O(d1) = 266275241,266180186,265800962,220442071 Dl.O(d2) = 22244316,23850420,31343808,29251924,21931082,21931084,29251925,28612943,21377331,15395611,10640359,10640360,15395613,21377334,256320357,37123823,47010779,58381856,55658271,44750126,255829974,257328971,68055030,81541773,257258966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7401192, s2 = 1109852, dlinesl.size( ) = 24 s1 = 4952742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5464380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8738083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5232810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5232810, s2 = 6272757, int(edited[s2]) = 0 s1 = 5232810, s2 = 6272757, d1 = 4, d2 = 15 Dl.O(d1) = 217375074 Dl.O(d2) = 245256366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5232810, s2 = 6272757, dlinesl.size( ) = 40 s1 = 5316930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165972, s2 = 14208214, int(edited[s2]) = 0 s1 = 14165972, s2 = 14208214, d1 = 4, d2 = 6 Dl.O(d1) = 266949600 Dl.O(d2) = 240761961,240261450,239721417,239137523,238502473,237809199,237046707,236211981,235296402,234291794,233187835,231967172,230611399,265694078,227365678,225394729,223127490,220503377,217418439,213719878,209213010,203721818,197148846,189448016,180542326,170410069,159076322,146712755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165972, s2 = 14208214, dlinesl.size( ) = 2 s1 = 14165972, s2 = 14208214, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14165972, Dl.E( ) = 8, 8.82e-06 seconds used appending s1 = 13710443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9266168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9266168, s2 = 9665590, int(edited[s2]) = 0 s1 = 9266168, s2 = 9665590, d1 = 14, d2 = 18 Dl.O(d1) = 264867351,209299445,264351123,265088505,213792088,217478605 Dl.O(d2) = 203822792,197262735,189572597,180673270,170540057,159199725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9266168, s2 = 9665590, dlinesl.size( ) = 8 s1 = 7256047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7256047, s2 = 5235461, int(edited[s2]) = 0 s1 = 7256047, s2 = 5235461, d1 = 5, d2 = 0 Dl.O(d1) = 264624913 Dl.O(d2) = 217499052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 5235657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7256145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166072, s2 = 8704037, int(edited[s2]) = 0 s1 = 14166072, s2 = 8704037, d1 = 7, d2 = 7 Dl.O(d1) = 224492927,265568150,217548609,264766376,263719008,273235364 Dl.O(d2) = 224492927,265568150,217548609,264766376,263719008,273235364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166072, s2 = 8704037, dlinesl.size( ) = 2 s1 = 14166072, s2 = 8704037, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166072, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14764887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14764887, s2 = 5321970, int(edited[s2]) = 0 s1 = 14764887, s2 = 5321970, d1 = 0, d2 = 3 Dl.O(d1) = 264061479,209464815 Dl.O(d2) = 213928162,217592397,220650704,223252251,265593379,225501816,223252249,265096973,217592397,220650704,223252251,222441181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14764887, s2 = 5321970, dlinesl.size( ) = 2 s1 = 14764887, s2 = 5321970, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14764887, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8798504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4938755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7735565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7735565, s2 = 7127645, int(edited[s2]) = 0 s1 = 7735565, s2 = 7127645, d1 = 12, d2 = 8 Dl.O(d1) = 274045813 Dl.O(d2) = 262941295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7735565, s2 = 7127645, dlinesl.size( ) = 2 s1 = 7735565, s2 = 7127645, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7735565, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 8830078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8814210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8814210, s2 = 7651904, int(edited[s2]) = 0 s1 = 8814210, s2 = 7651904, d1 = 78, d2 = 74 Dl.O(d1) = 265470118,220714263 Dl.O(d2) = 271025932,33461451,42454387,260954867 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9479109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5324679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5324792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9564342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7760386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5242279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5242279, s2 = 11293630, int(edited[s2]) = 0 s1 = 5242279, s2 = 11293630, d1 = 15, d2 = 17 Dl.O(d1) = 217740028 Dl.O(d2) = 260906074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5242279, s2 = 11293630, dlinesl.size( ) = 32 s1 = 8740571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8740571, s2 = 11388166, int(edited[s2]) = 0 s1 = 8740571, s2 = 11388166, d1 = 71, d2 = 86 Dl.O(d1) = 264011475,264594143,264645411 Dl.O(d2) = 262890084,169217618,262426620,145384727,145384726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 8815798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8663205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5243645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8762459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9266723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9579008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5328742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10263849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7297760, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10342689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342689, s2 = 1420154, int(edited[s2]) = 0 s1 = 10342689, s2 = 1420154, d1 = 57, d2 = 88 Dl.O(d1) = 257426602 Dl.O(d2) = 263550222,258004571,36539838,255790239,255003131,10326963,255712853,9640290,9640289,14023833,19576118,23582585,17270227,12149137,8178745,5248361,3206208,3206207,5248353,8178729,12149100,17270177,16620645,11593404,7717337,4884523,2943254,1706810,1706813,2943263,4884539,7674298,11535480,16550149,11536012,11536009,16550946,16618880,256839007,36857329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5246758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5246758, s2 = 14369639, int(edited[s2]) = 0 s1 = 5246758, s2 = 14369639, d1 = 49, d2 = 98 Dl.O(d1) = 218080317 Dl.O(d2) = 216545386,263623134,219024175,263237524,224294517,221860570,219024168,215665249,262337426,263623122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5246758, s2 = 14369639, dlinesl.size( ) = 2 s1 = 5246758, s2 = 14369639, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5246758, Dl.E( ) = 148, 5.2e-05 seconds used appending s1 = 7258869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10272432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5330320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5331009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5331009, s2 = 6500371, int(edited[s2]) = 0 s1 = 5331009, s2 = 6500371, d1 = 161, d2 = 101 Dl.O(d1) = 221107735,218164120 Dl.O(d2) = 255270232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5331009, s2 = 6500371, dlinesl.size( ) = 90 s1 = 7224667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224667, s2 = 7158304, int(edited[s2]) = 0 s1 = 7224667, s2 = 7158304, d1 = 97, d2 = 137 Dl.O(d1) = 264231112 Dl.O(d2) = 218279165,214797923,264369030,263360574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13637385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5249772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5249772, s2 = 11829318, int(edited[s2]) = 0 s1 = 5249772, s2 = 11829318, d1 = 16, d2 = 47 Dl.O(d1) = 218232860 Dl.O(d2) = 15055156,10380961,6840866,5583915,3464420,2562528,2562527,4286173,6831748,10369474,15042190,20950929,28128832,36602632,46469418,57826054,70528156,60529924,49129464,39202352,30606005,23186828,23186829,30606006,39202353,34585035,26597919,19791929,14176646,9745974,9745972,14176639,19791918,255071810,33597476,255468496,24564745,18125131,18125130,256068555,32147845,40925278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5249772, s2 = 11829318, dlinesl.size( ) = 2 s1 = 5249772, s2 = 11829318, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5249772, Dl.E( ) = 58, 1.79e-05 seconds used appending s1 = 8742550, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5333741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5251262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5334192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8743011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8743011, s2 = 13567247, int(edited[s2]) = 0 s1 = 8743011, s2 = 13567247, d1 = 46, d2 = 48 Dl.O(d1) = 258720954,26172103,254515904,71845680,254344596,73356605,73356606,76218862,76218863,76218846,63207845,51497567,51497531,51497530,58536816,58938865,47556951,37651655,37507851,28964432,28964431,24698581,21909753,21909755,15828292,10968891,10968890,15828294,21910038,29225967,37787899,47148186,37243022,28712026,28712027,28711743,28711744,37242770,47148201,255488012,38633903,254541710,27142582,27142581,35238710,38633983,30060236,22683270,22683238,22683239,30060190,38633938,48548201,38633880,38633879,47708003,37786974,37786973,47708001,59106134,71844752,72680009,59940607,48548223,48548222,59940604,70891396,59940631,48548247,48548248,50398975,61889319,273170151,273768528,264599976,210580290,210580289,274167971 Dl.O(d2) = 19707907,14130881,9721420,6395061,6395059,4016586,2406876,1392655,267782267,6396708,9724501,14136730,19719369,26470093,34368566,43506436,54084697,54427507,256590822,94005256,79921775,66517153,66517154,62549899,50943583,40821555,40821556,50943586,62549907,53953834,43424990,43424988,256590818,66027274,79397935,74966657,74966655,79473467,79473466,90635586,76769505,76769506,90635589,80965232,67496364,55155044,55155043,67496360,80965230,89261552,89259681,75506447,75506448,62575423,50960646,50960644,54200006,54200005,66358570,64086952,64086953,77231321,64087527,64087529,67086700,80532766,94005299,79921828,66517197,66517199,79921832,94005307,108349819,108346846,108346845,98665700,84736301,84736302,94005253,79921772,66517152,66517154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8743011, s2 = 13567247, dlinesl.size( ) = 42 s1 = 7315761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10260788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10254655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5252681, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5335688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5335688, s2 = 3838596, int(edited[s2]) = 0 s1 = 5335688, s2 = 3838596, d1 = 3, d2 = 0 Dl.O(d1) = 221261101 Dl.O(d2) = 137324884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5335688, s2 = 3838596, dlinesl.size( ) = 2 s1 = 5335688, s2 = 3838596, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5335688, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9002682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5253846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7260462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5254199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8694681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8694681, s2 = 7338002, int(edited[s2]) = 0 s1 = 8694681, s2 = 7338002, d1 = 78, d2 = 34 Dl.O(d1) = 105865351,120077987,273373240,264687301 Dl.O(d2) = 265581027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8694681, s2 = 7338002, dlinesl.size( ) = 14 s1 = 5336998, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8764986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7260656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7260656, s2 = 5482052, int(edited[s2]) = 0 s1 = 7260656, s2 = 5482052, d1 = 37, d2 = 24 Dl.O(d1) = 264689005 Dl.O(d2) = 225956360 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9584724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5255880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9621606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5256212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5256224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5167352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7168079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7213439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7213439, s2 = 6044154, int(edited[s2]) = 0 s1 = 7213439, s2 = 6044154, d1 = 41, d2 = 40 Dl.O(d1) = 264086902 Dl.O(d2) = 240412773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7213439, s2 = 6044154, dlinesl.size( ) = 48 s1 = 7761453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7761453, s2 = 14758126, int(edited[s2]) = 0 s1 = 7761453, s2 = 14758126, d1 = 8, d2 = 6 Dl.O(d1) = 274555718 Dl.O(d2) = 273986466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7761453, s2 = 14758126, dlinesl.size( ) = 8 s1 = 8721262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5340788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8809394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13868771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7217531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5342138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7332736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8696691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8696691, s2 = 8881100, int(edited[s2]) = 0 s1 = 8696691, s2 = 8881100, d1 = 53, d2 = 70 Dl.O(d1) = 192454333,199740498,205903044,210999909,215165210,218595517,221482613,265525590,221482614 Dl.O(d2) = 233546818,234621529,234621539,235600468,236492366,266649707,237306258,236492363,235600464,266404812,234621530,234621533,233546821,232365004,231058044,229601785,229601784,265831746,226097975,223956362,265525597,227963323,229601783,231058043,232365003,266089064,231058036,232364995,233546810,234621516,234621527,266203078,231058041,231058040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8696691, s2 = 8881100, dlinesl.size( ) = 60 s1 = 13981429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7360220, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5172193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7721489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356911, s2 = 8731990, int(edited[s2]) = 0 s1 = 10356911, s2 = 8731990, d1 = 86, d2 = 74 Dl.O(d1) = 261618927,262625803,184131247,263834929,205996986 Dl.O(d2) = 274285618,136186512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356911, s2 = 8731990, dlinesl.size( ) = 68 s1 = 13824193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7317791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7317791, s2 = 7241662, int(edited[s2]) = 0 s1 = 7317791, s2 = 7241662, d1 = 13, d2 = 10 Dl.O(d1) = 265354163 Dl.O(d2) = 264451828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7317791, s2 = 7241662, dlinesl.size( ) = 20 s1 = 10180718, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5345070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4971056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7262861, s2 = 15339258, int(edited[s2]) = 0 s1 = 7262861, s2 = 15339258, d1 = 53, d2 = 67 Dl.O(d1) = 264714533 Dl.O(d2) = 39759854,39759858,49778577,49778567,49778566,49056361,49056360,60460195,73207332,78680320,78680319,259443733,89300928,85123443,71552582,58824426,58824427,71552584,257841356,71552577,73207369,61257321,61257320,259443741,73207358,60460222,49056387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7262861, s2 = 15339258, dlinesl.size( ) = 52 s1 = 7733469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5489549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8834013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9297980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10258655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7741327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166016, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5347632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5347632, s2 = 6659569, int(edited[s2]) = 0 s1 = 5347632, s2 = 6659569, d1 = 21, d2 = 24 Dl.O(d1) = 221639617 Dl.O(d2) = 257038346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5347632, s2 = 6659569, dlinesl.size( ) = 2 s1 = 5347632, s2 = 6659569, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5347632, Dl.E( ) = 60, 2.79e-05 seconds used appending s1 = 9672653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5350937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8772912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8887991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7739022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5271637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5352997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5352997, s2 = 11111076, int(edited[s2]) = 0 s1 = 5352997, s2 = 11111076, d1 = 21, d2 = 39 Dl.O(d1) = 221789559,218942387 Dl.O(d2) = 141690640,128341172,258061028 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5272932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5272932, s2 = 1126854, int(edited[s2]) = 0 s1 = 5272932, s2 = 1126854, d1 = 31, d2 = 1 Dl.O(d1) = 218963660 Dl.O(d2) = 28920396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5272932, s2 = 1126854, dlinesl.size( ) = 24 s1 = 7265168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9598264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9598264, s2 = 6863905, int(edited[s2]) = 0 s1 = 9598264, s2 = 6863905, d1 = 23, d2 = 17 Dl.O(d1) = 1312165,254205019 Dl.O(d2) = 259398837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9598264, s2 = 6863905, dlinesl.size( ) = 2 s1 = 9598264, s2 = 6863905, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9598264, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 5186035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9702379, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10168048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5274069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8947494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15080139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9592340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8788381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9678586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5275345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8749433, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14134807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13882407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5277800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5358794, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14165964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165964, s2 = 6473565, int(edited[s2]) = 0 s1 = 14165964, s2 = 6473565, d1 = 21, d2 = 229 Dl.O(d1) = 35126503 Dl.O(d2) = 40071996,31389844,23894293,17548282,12378340,12378341,12268839,8285064,8285063,12268836,17409117,12378333,8364519,5398696,3319587,1952777,1115703,1115704,1952779,3319589,5398700,254447988,254928380,23901092,23901093,20958734,15049655,15049654,20958732,28136782,255806098,15217671,10497147,10497146,255385009,28397925,255648018,31353638,23860095,17516618,12352289,12352290,17516623,15195872,10481400,6910611,6910612,10481404,15195882,17356627,12227006,8255202,5325522,3273327,3273328,5325527,8255213,12227027,15197547,10482285,6911041,6911040,10482281,15197540,21152326,23676322,17516485,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,15197465,21152195,21152194,256301017,25960647,25960648,33769570,28370661,28370660,36867536,29478402,28366711,28366712,36864774,37658698,47564777,47564765,37658681,269440992,29339642,22008159,15907044,11028508,11028507,15907042,22008153,29339626,29339644,22008160,22008161,21977735,255872109,15835561,10973724,10973725,15835564,15198010,15198011,21152992,15198533,10482797,6911287,4340560,2598556,1499077,849591,849592,1499084,2598571,4340593,6911347,10482914,15198753,21154074,16949152,16949153,15196687,10481812,10481814,15196691,21150992,28367559,23218535,21149554,16949170,16949171,17355470,17355469,23675237,31163739,39846174,36866396,31731259,24223122,21920002,16949278,16949277,21153761,28112266,20935508,15027431,10355259,10355262,11860900,11860952,11860954,16945162,15197058,10482006,6910903,4340382,4340384,5039367,5039371,7927175,7927174,10482593,15198168,21153240,16950066,11862858,7928076,5039760,5039763,5038935,5038938,7926416,11859897,16945487,16946790,15254772,15254774,15493858,10714585,10714582,15493850,11863196,8255320,5325583,3273353,3273354,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,571184,571185,1013311,1777363,3050982,5039483,7927561,11861943,16948658,22048030,16950148,16950145,16948397,16948398,23217468,30640859,30645045,23222601,23222602,30645046,23223815,23223813,255612498,60567192,73310448,86920645,100901079,114953705,128854125,139299266,125950009,271292921,84262515,70711043,57994168,256830879 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8822072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8822072, s2 = 10358610, int(edited[s2]) = 0 s1 = 8822072, s2 = 10358610, d1 = 10, d2 = 10 Dl.O(d1) = 264753321,219146749,265385473,265177170,211427784,206424484 Dl.O(d2) = 264753321,219146749,265385473,265177170,211427784,206424484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8822072, s2 = 10358610, dlinesl.size( ) = 2 s1 = 8822072, s2 = 10358610, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8822072, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 8811920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8789575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8789575, s2 = 14257272, int(edited[s2]) = 0 s1 = 8789575, s2 = 14257272, d1 = 1, d2 = 65 Dl.O(d1) = 215840308 Dl.O(d2) = 241017370,241461482,241873906,242254340,242606464,267191143,243525188,243790253,244036292,244265027,244477516,244676251,244861610,244861611,245036386,245200101,245353379,267453135,245759114,245877407,245929636,245814604,245692667,267449902,245561713,245422010,245273839,245273840,267445335,245692669,245692666,245692665,245692667,267449902,245561713,245422010,245273839,245115522,244946389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8789575, s2 = 14257272, dlinesl.size( ) = 28 s1 = 5280565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13790725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9540191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9540191, s2 = 14753860, int(edited[s2]) = 0 s1 = 9540191, s2 = 14753860, d1 = 0, d2 = 0 Dl.O(d1) = 146031679,132799317,118966623,104774421,90602393,76736330,63645081,51852274,268729989,32671636,41565078,51852277,44469059,269637489,123629056,137361237,150402494,162532820,173565616,183361992,191926012,191926013,199293158,199293159,199293160,205526317,210682495,214894506,218360277,218360278,221272577,223767251,225929896,225929895,224418445,222000019,219184172,215848534,211815885,211815884,215848532,219184171,215848530,211815881,206879277,200903893,200903892,206879275,211815883,206879278,200903894,193821855,185561835,185561834,176096751,165414141,153633156,260596174,140965975,127616311,113747404,113747403,113747405,99732870,85778924,85778923,269810204,99732868,85778922,72184646,59446517,59446516,72184644,85778921,72184642,256941244,48054916,48054915,38141266,29574632,22227424,16093757,11178109,7416585,4686741,4686738,7416573,11178080,16093703,22227232,256391781,46954211,46954212,46954214,46954213,41277646,41277645,47415979,47415980,268272252,31443661,23952039,17606106,17606104,23952030,24274005 Dl.O(d2) = 146031679,132799317,118966623,104774421,90602393,76736330,63645081,51852274,268729989,32671636,41565078,51852277,44469059,269637489,123629056,137361237,150402494,162532820,173565616,183361992,191926012,191926013,199293158,199293159,199293160,205526317,210682495,214894506,218360277,218360278,221272577,223767251,225929896,225929895,224418445,222000019,219184172,215848534,211815885,211815884,215848532,219184171,215848530,211815881,206879277,200903893,200903892,206879275,211815883,206879278,200903894,193821855,185561835,185561834,176096751,165414141,153633156,260596174,140965975,127616311,113747404,113747403,113747405,99732870,85778924,85778923,269810204,99732868,85778922,72184646,59446517,59446516,72184644,85778921,72184642,256941244,48054916,48054915,38141266,29574632,22227424,16093757,11178109,7416585,4686741,4686738,7416573,11178080,16093703,22227232,256391781,46954211,46954212,46954214,46954213,41277646,41277645,47415979,47415980,268272252,31443661,23952039,17606106,17606104,23952030,24274005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9540191, s2 = 14753860, dlinesl.size( ) = 2 s1 = 9540191, s2 = 14753860, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9540191, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9678678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9678678, s2 = 10248103, int(edited[s2]) = 0 s1 = 9678678, s2 = 10248103, d1 = 1, d2 = 1 Dl.O(d1) = 215856406,211824264,206888480,200913636,193832102,185572481,176108022,176108023,185572484,193832103,193832104,193832098,185572470,263541893,193832097,185572470,176108007,165425786,153644695,153644696,165425789,165425804,176108036,185572478,263897361,185572482,176108022,165425795,153644699,140977403,140977402,153644698,165425793,176108011,176108010,185572473,185572492,185572475,176108042,165425810,165425809,176108040,185572479,263541895,176108021,176108020,263541897,185572477,176108014,165425790,165425791,176108016,185572478,263897361,185572482,176108022,165425795,153644699,140977403,127627852,272209411,153644696,165425789,165425804,176108035,176108027,165425799,165425798,176108025,185572487,176108039,165425807,165425808,176108040,185572479,263541895,176108021,176108020,263541897,185572490,176108028,165425800,153644702,140977404,140977405,153644703,165425803,176108034 Dl.O(d2) = 215856406,211824264,206888480,200913636,193832102,185572481,176108022,176108023,185572484,193832103,193832104,193832098,185572470,263541893,193832097,185572470,176108007,165425786,153644695,153644696,165425789,165425804,176108036,185572478,263897361,185572482,176108022,165425795,153644699,140977403,140977402,153644698,165425793,176108011,176108010,185572473,185572492,185572475,176108042,165425810,165425809,176108040,185572479,263541895,176108021,176108020,263541897,185572477,176108014,165425790,165425791,176108016,185572478,263897361,185572482,176108022,165425795,153644699,140977403,127627852,272209411,153644696,165425789,165425804,176108035,176108027,165425799,165425798,176108025,185572487,176108039,165425807,165425808,176108040,185572479,263541895,176108021,176108020,263541897,185572490,176108028,165425800,153644702,140977404,140977405,153644703,165425803,176108034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9678678, s2 = 10248103, dlinesl.size( ) = 2 s1 = 9678678, s2 = 10248103, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9678678, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 5281066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5361101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10267130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7338268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358011, s2 = 7377235, int(edited[s2]) = 0 s1 = 10358011, s2 = 7377235, d1 = 19, d2 = 17 Dl.O(d1) = 263606825,263901624,264760569 Dl.O(d2) = 266015761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358011, s2 = 7377235, dlinesl.size( ) = 14 s1 = 7267284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7267284, s2 = 11448028, int(edited[s2]) = 0 s1 = 7267284, s2 = 11448028, d1 = 92, d2 = 14 Dl.O(d1) = 264761695 Dl.O(d2) = 194214609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7267284, s2 = 11448028, dlinesl.size( ) = 22 s1 = 13792157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7289055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7289055, s2 = 7397136, int(edited[s2]) = 0 s1 = 7289055, s2 = 7397136, d1 = 12, d2 = 28 Dl.O(d1) = 265017755,219247422 Dl.O(d2) = 274795352,266231193,266231190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7289055, s2 = 7397136, dlinesl.size( ) = 8 s1 = 6957517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6957517, s2 = 14774888, int(edited[s2]) = 0 s1 = 6957517, s2 = 14774888, d1 = 14, d2 = 21 Dl.O(d1) = 260603507,273992933 Dl.O(d2) = 219249618,266515529,266428421,266333736,226564409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15078385, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8704036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9327327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9327327, s2 = 8034228, int(edited[s2]) = 0 s1 = 9327327, s2 = 8034228, d1 = 35, d2 = 45 Dl.O(d1) = 269296556,271808135,261607852,262616400,264226859,211954037,215962260,274261002,274467185 Dl.O(d2) = 257043701,12123621,8155377,5225840,3187934,3187933,5225839,8155375,12123617,17240313,12123566,12123567,17240315,12123706,8155431,5225873,4542710,267886329,267789837,1631143,2811708,4667150,7082590,5513634,3400678,2004988,2004989,3400680,5513639,8515432,11599342,16628895,15708836,10874556,7189833,4529642,2722888,2722887,2722822,1577880,897171,897170,1577876,2722812,4529516,255425501,268618672,3721650,5951227,6774815,10268651,14931794,255045038,36452875,258619703,258259288,57661354,46317118,36464367,36464368,31382986,29957789,22593391,16410266,16410264,22200512,29543680,29545276,29545275,38108480,256525138,257062645,269871017,257447084,18710020,18710024,18758472,255036018,33068005,255795212,268837889,20352073,14608496,14608501,20352080,24365499,20961183,20961185,17924350,12700068,12700067,17924348,16298408,11340127,11340128,14564187,14448888,9940358,6533368,6533373,9940377,14448927,20143197,15594415,10787929,10787931,11513345,7658858,7658859,11513347,16520338,17453210,23783470,20869315,20869316,27222647,261569139,162714060,262454372,155248654,260689626,115314737,101236320,258850183,257619547,30917691,23480686,255154259,12092971,258850185,101236323,260689629,126301404,112436453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9327327, s2 = 8034228, dlinesl.size( ) = 36 s1 = 5318603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5284637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5284637, s2 = 7538810, int(edited[s2]) = 0 s1 = 5284637, s2 = 7538810, d1 = 15, d2 = 84 Dl.O(d1) = 219292425 Dl.O(d2) = 267610381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5284637, s2 = 7538810, dlinesl.size( ) = 32 s1 = 7326300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7326300, s2 = 5102957, int(edited[s2]) = 0 s1 = 7326300, s2 = 5102957, d1 = 34, d2 = 0 Dl.O(d1) = 265447440,219292484 Dl.O(d2) = 211970083,273898474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7326300, s2 = 5102957, dlinesl.size( ) = 30 s1 = 8790538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8790538, s2 = 1864340, int(edited[s2]) = 0 s1 = 8790538, s2 = 1864340, d1 = 23, d2 = 0 Dl.O(d1) = 222110060,219312543,219312542,219312539,219312538,222110057,224513394 Dl.O(d2) = 48409233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8790538, s2 = 1864340, dlinesl.size( ) = 24 s1 = 13804943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13804943, s2 = 6959026, int(edited[s2]) = 0 s1 = 13804943, s2 = 6959026, d1 = 41, d2 = 17 Dl.O(d1) = 219313953,219313954,222111378,265000658 Dl.O(d2) = 261745630,260621432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13804943, s2 = 6959026, dlinesl.size( ) = 36 s1 = 9594087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7287803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5287311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5366935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8752298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7247866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5201464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7268797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5150425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7268917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5289458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5289830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7775331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7775331, s2 = 4892047, int(edited[s2]) = 0 s1 = 7775331, s2 = 4892047, d1 = 12, d2 = 0 Dl.O(d1) = 274768323 Dl.O(d2) = 201375349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7775331, s2 = 4892047, dlinesl.size( ) = 22 s1 = 7269202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7269202, s2 = 8797020, int(edited[s2]) = 0 s1 = 7269202, s2 = 8797020, d1 = 7, d2 = 19 Dl.O(d1) = 264782529 Dl.O(d2) = 222047708,224460002,265463908,265079930,273435878,141113533,127755969,271015876,269972136,257167850,29714081,22358361,22358362,25481426,22358793,22358791,29714545,36786809,28290332,22358799,21184668,21184669,25765639,33555226,39248974,33230414,33230413,42190698,38281613,38281614,38285787,38285788,29719188,22362971,16209609,16209608,22362969,21185100,15223274,15223275,21185104,25992613,25992614,255626566,29714174,29714176,37842785,36896408,28398895,22360193,16207512,11266634,255467687,26407909,22361330,16208318,15144533,15144534,21083829,28290282,36786765,38282027,38282026,36939848,29473702,22137192,16020674,267940294,269335947,258224724,11310086,10520236,6937916,6937921,8190333,12159902,8190414,5259779,3215294,3215295,5259781,254835875,17280970,15594020,10787637,255045065,255437538,21624711,28899817,37440021,37879721,34006341,26164538,26115451,26115452,28903951,21629637,21629638,28903953,27987396,254996912,14924717,20822679,25811299,33382682,30721237,254998318,28277201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7269202, s2 = 8797020, dlinesl.size( ) = 8 s1 = 7269206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7269206, s2 = 10360870, int(edited[s2]) = 0 s1 = 7269206, s2 = 10360870, d1 = 7, d2 = 7 Dl.O(d1) = 264782551,219447409,265407509,274561444,266324643,266341739 Dl.O(d2) = 264782551,219447409,265407509,274561444,266324643,266341739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7269206, s2 = 10360870, dlinesl.size( ) = 2 s1 = 7269206, s2 = 10360870, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7269206, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7269297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7269297, s2 = 7464528, int(edited[s2]) = 0 s1 = 7269297, s2 = 7464528, d1 = 9, d2 = 20 Dl.O(d1) = 264783659 Dl.O(d2) = 241065053,240590585,266905976,238930199,238930198,266913757,241065057,241505624,267091463,242290438,242639379,242290435,241913612,241913611,241505619,274913912,242639375,242290433,267085738,267002322,240590584,241065050,267051199,241913613,241505623,241505624,267091463,242290438,242639379,242290435,241913612,241913611,241505619,241065048,241065049,267002322,240079370,266913755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7269297, s2 = 7464528, dlinesl.size( ) = 2 s1 = 7269297, s2 = 7464528, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7269297, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 5110104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8793300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7269435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7269435, s2 = 6130396, int(edited[s2]) = 0 s1 = 7269435, s2 = 6130396, d1 = 20, d2 = 38 Dl.O(d1) = 264784963 Dl.O(d2) = 267018976,241915292,242291976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7269435, s2 = 6130396, dlinesl.size( ) = 14 s1 = 7288707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7288707, s2 = 15342166, int(edited[s2]) = 0 s1 = 7288707, s2 = 15342166, d1 = 225, d2 = 302 Dl.O(d1) = 265013637,222260520 Dl.O(d2) = 72768652,86365704,100325578,114352638,128231562,141583473,154241262,165995557,262469524,194263315,201294713 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8781737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7269618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7307988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5372333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7210945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5373233, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5294692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5373589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5373589, s2 = 9592341, int(edited[s2]) = 0 s1 = 5373589, s2 = 9592341, d1 = 5, d2 = 9 Dl.O(d1) = 222360898 Dl.O(d2) = 226797568,226797570,224735486,222360880,222360879,224735456,226797552,224735483,265587883,224735469,222360863,219594778,219594777,222360860,224735436,224735435,265376368,264741376,212372222,215660803,216320391,212372218,207541874,201684200,194728294,194728293,201684197,207541885,264795443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5373841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5373841, s2 = 2922650, int(edited[s2]) = 0 s1 = 5373841, s2 = 2922650, d1 = 20, d2 = 18 Dl.O(d1) = 222367129,219602634,216330313,212385136,212385137,216330314,219602629,219602630,216330309,212385131,207561834,207561835,212385132,212385138,212385126,207561830,201713460,201713459,207561829,207561844,201713468,201713470,263950166,201133800,264262964,263600128,185854443,194083259,263950165,201713471,201713467,194765264,194765265,201713470,263950166,194083257,185854441,176418034,176418035,185854443,194083260,186645039,186645038,194765265,201713470,263950166,194083257,185854441,176418034,176418035,185854443,194083260,186645039,177319721,166763043,155064729,155064728,166763041,177319717,177319719,186645036,194765263,201713465,207561842,212385134,212385135,211976567,207561843,201713471,201713467,194765264,194765265,201713470,207561845,207561841,207561842,212385134,207561837,207561838,264796151 Dl.O(d2) = 261796448,142419954,129046546,115119905,260614388,87051407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5373841, s2 = 2922650, dlinesl.size( ) = 12 s1 = 5374187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9581674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5295793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5295793, s2 = 15959736, int(edited[s2]) = 0 s1 = 5295793, s2 = 15959736, d1 = 0, d2 = 13 Dl.O(d1) = 219641130 Dl.O(d2) = 231599741,232856457,233994395,235030983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5295793, s2 = 15959736, dlinesl.size( ) = 8 s1 = 7717649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7717649, s2 = 7208690, int(edited[s2]) = 0 s1 = 7717649, s2 = 7208690, d1 = 25, d2 = 16 Dl.O(d1) = 273568961 Dl.O(d2) = 264022705,208636445,265273299,213276921,274600980,217074787,264602457,274000948,157608294,157608293,157608294,261380495,131952975,145191788,157608292,274353072,213276921,208636444,208636445,265776077,274430804,222901985,265776078,131952976,118135617,118135616,261380493,103983462,272232496,51383246,259433938,5754681,8831370,7281793,7281795,11000345,15871315,13183828,8987047,5867274,3663088,3663089,5867277,5867371,5867364,5867363,8987193,13184044,18554549,25103274,25103302,25103301,256324615,21418592,15428094,15428093,21418589,28664418,37185409,37861921,32805415,25103413,18554673,18554674,21803947,29102118,25102886,18554277,18554278,13183876,13183875,18554264,18554263,13183912,8987108,5867319,3663112,254201735,1272450,2191822,3663106,5867312,8987100,13183909,18554346,25102968,32804837,37185829,28664782,21418887,15428320,15428321,21418889,18554657,18554656 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4148595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4148595, s2 = 14034372, int(edited[s2]) = 0 s1 = 4148595, s2 = 14034372, d1 = 40, d2 = 46 Dl.O(d1) = 155166844,272857712,263898466,219650175 Dl.O(d2) = 265984569,229835515,265495680,221821308,274160332,215608528,264098780,193357057,262986402,185027071,263397096,185027069,185027068,185027067,175487605,164734740,152904069,152904070,152904073,164734748,175487616,175487610,164734744,152904071,140214302,126867979,113016147,113016146,126867977,272422684,164734742,260933656,260933654,260933652,272422684,262986404,152904071,140214302,126867979,113016147,258457948,21683703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4148595, s2 = 14034372, dlinesl.size( ) = 48 s1 = 11660764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8774575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7270998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7270998, s2 = 11201100, int(edited[s2]) = 0 s1 = 7270998, s2 = 11201100, d1 = 176, d2 = 261 Dl.O(d1) = 264803725 Dl.O(d2) = 80304128,66874724,54616967,43874557,268524576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7270998, s2 = 11201100, dlinesl.size( ) = 24 s1 = 13775409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7250418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7250418, s2 = 7116069, int(edited[s2]) = 0 s1 = 7250418, s2 = 7116069, d1 = 24, d2 = 19 Dl.O(d1) = 264552643,216431547,219692852,222446813,219692854 Dl.O(d2) = 206550429,262777356,185037933,261246552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7250418, s2 = 7116069, dlinesl.size( ) = 16 s1 = 13827459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13691875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7753542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7753542, s2 = 1125616, int(edited[s2]) = 0 s1 = 7753542, s2 = 1125616, d1 = 18, d2 = 32 Dl.O(d1) = 274417124 Dl.O(d2) = 115669528,101628500,87660986,74057132,61276929,49797458,39777574,31099306,23615668,17302581,255139466,254837695,17302582,255620066,19823918,24256962,31769147,31769143,31769142,255593330,47347430,41100134,32290862,32290861,28900319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7753542, s2 = 1125616, dlinesl.size( ) = 14 s1 = 7293403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7293403, s2 = 14996878, int(edited[s2]) = 0 s1 = 7293403, s2 = 14996878, d1 = 123, d2 = 3 Dl.O(d1) = 265069910,219753279 Dl.O(d2) = 131828554 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9615191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660358, s2 = 10355606, int(edited[s2]) = 0 s1 = 11660358, s2 = 10355606, d1 = 39, d2 = 34 Dl.O(d1) = 232942485,231691005,230298524,228732706,264565674 Dl.O(d2) = 270402323,143565103,156099912,263643381,202288307,207011373,201062846,194006489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5302245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276238, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5380605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8258679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7340093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7340093, s2 = 13727740, int(edited[s2]) = 0 s1 = 7340093, s2 = 13727740, d1 = 21, d2 = 24 Dl.O(d1) = 265603965 Dl.O(d2) = 177915966,273163259,261840263,167426545,262818735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7340093, s2 = 13727740, dlinesl.size( ) = 30 s1 = 7308994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7308994, s2 = 4635991, int(edited[s2]) = 0 s1 = 7308994, s2 = 4635991, d1 = 11, d2 = 19 Dl.O(d1) = 265249253 Dl.O(d2) = 235119202,266256842,232957984,234089206,232957981,266256837,233950457,232809141,231546810,265857086,228552335,226748192,265712072,224679114,222296070,222296069,219520698,216235440,212272730,207422897,207422896,207422895,201541643,264254377,212272731,207422899,201541644,194554755,186398519,177041312,177041313,184904642,262666727,152756671,140066970,126720000,112868804,260538439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7308994, s2 = 4635991, dlinesl.size( ) = 20 s1 = 8776141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5303128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4789717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5304810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7210282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166050, s2 = 10333327, int(edited[s2]) = 0 s1 = 14166050, s2 = 10333327, d1 = 1, d2 = 1 Dl.O(d1) = 226849268,226849257,224794759,265592339,228640537,226849276,224794776,222428176,265028989,212469708,207653985,264497344,166921493,262317791,142599094,129228337,115300204,101222165,87221318,258848985,60849726,257037169,30907423,30907422,256569444,32021049,32021048,32020628,24459266,24459265,24459581,24459218,18040532,18040531,18040538,12788219,12788220,18040540,24459226,32020579,24459444,18040706,12788309,12788308,18040703,255516998,17190858,12087865,12087866,12788365,8693906,5658451,3518869,2093142,2093143,3518871,5658455,8693914,12788377,18040818,18040482,12788187,8693800,8693799,12788184,18040478,24459130,32020459,29987499,22620067,16435408,16435409,22620070,24459535,22598230,22598228,29962744,24459584,24459585,32021013,40776857,32020576,24459222,24459221,255512458,24459291,18040593,12788248,12788247,18040592,24459289,32020652,32020668,32020669,40776937,50893182,41484934,41484935,37856458,29288006,29288007,32548742,32548741,41406921,51647648,62493362,50893523,40777287,254943576,41733034,41733035,52047765,63390376,63390377,75411817,62492920,50892972,40776723,37856460,37856461,47780031,48963154,51647653,50893395,40777157,40777158,40776918,32020648,24459287,18040590,18040589,24459285,255956946,48081092,46311821,256580032,32548693,40776917,40776916,50893161,53700289,43188427,43188428,40776923,37837870,29271668,29271669,37837871,32020645,32020644,28000433,20835909,20835911,28000436,255512414,51647674,63390385,51755060,51755058,50448445,40414136,32548753,24899361,18396581,18396582,24899362,32548754,41406936,51647631,51647630,62493078,59634061,49368306,39439488,39439489,49368307,57656298,53700294,256561764,57656276,50448451,255922898,24215161,31722321,40414143,48247250,59634070,51755359,51755358,63534044,53700296,53700297,62493355,62493354,62068965,62068964,50576582,50576581,43188466,43188468,53700320,63534051,51755361,256606951,24942726,24942725,32606448,41485287,51754878,63533690,76613662,269441962,256580030,41406949,32606526,24942784,24942783,23095702,16840150,16840149,23095700,30511088,39108110,49037929,60441905,58001847,46626118,36738251,36738250,46626117,257734551,59437022,59437021,70717854,58001906,46626163,36738274,36738275,46626167,41221915,32398238,24775032,24775031,32398236,41221911,51418653,51418600,41221873,32398212,32398211,41221869,41221895,41221894,51418627,63115425,76120845,76120844,63115413,51418615,51418616,258940304,270865895,63115405,63115406,76120877,85769632,86701836,73098421,73098420,86701893,99723440,85769610,72175430,59436945,48045048,38131693,29565877,29565878,38131694,46626181,46626179,58001913,258020929,258126128,72175459,72175364,59436825,59436826,48045021,38131676,38131677,38131607,29565816,22219998,22219997,29565813,38131605,48044926,51965001,269065794,40967604,40967603,48045002,58094448,268745544,73308923,62741259,51110031,51110032,51110034,62741261,59436801,48044907,38131587,38131588,48044909,40952882,256070289,24587312,268492050,256126538,70832898,62741179,51109996,51109995,61254935,51109991,40967607,32187957,24600456,18152968,18152965,24600448,32187938,40967591,51109966,62741204,51110024,40967637,32187979,32187980,36652866,36694394,28204139,21012100,254716234,25434228,25434229,268374834,46580740,36694432,36694431,46580738,57957156,46580746,46580747,57957152,57875411,57875412,57957123,70576188,57875402,255373920,36652946,46519913,57875400,256826536,70675929,84229397,77533302,64365296,52492412,46519941,36652965,36652966,40638876,50698003,62218141,70576226,57875460,46519966,36652988,28177270,28177271,36652991,256826522,57957087,46580672,46580673,46580836,46520050,42135458,33177719,33177720,42135462,46580762,36694453,36694452,36694451,255373924,36694407,28204147,21012103,15091286,10408419,6861049,4305947,4305948,6861051,10408426,10408427,15091298,21012127,28204185,36694465,46580674,46580810,46580809,57957233,57957241,46580815,46580814,46580813,36694501,28204204,28204180,28204181,36694457,268374836,64403707,52530330,42172405,33212812,25465252,25465253,18864993,18864994,256129419,42172414,52530342,52530399,52530400,64403746,52530377,42172440,33212839,33212838,42172439,52530375,52530380,59974243,59974242,72711292,77571804,77571803,77571808,76613946,63534071,51755385,51755386,63534072,76613948,86308144,86308147,72711296,59974251,59974252,50893558,40777320,40777319,42512971,33513428,33513427,42512969,52922730,64847603,64847602,52922724,42512965,33513424,33513423,30452356,25734166,25734165,32410138,24785221,18303416,12992330,12992331,18303418,19253272,19253270,25915425,33722288,38666363,30089010,30089011,256090594,30452558,23044323,16798639,11745581,7841886,7841888,11745583,267985127,7841794,11745431,11745366,7841740,7841738,11745363,268238739,22707147,22707146,30089043,24578698,24578699,23044233,23044234,24587375,255512459,16798685,23044367,30452465,30452464,24587387,18142908,12865499,8749486,5696564,5696565,8749488,12865502,18142915,24587394,32173439,31661561,24150937,24150936,31661558,40356660,39041973,39041974,48446717,48446718,40356656,40356657,50391617,61881293,74673443,88298984,102292243,116381946,261315343,156076292,156076290,156076291,167679769,178137530,187368839,195403762,273893959,212811805,216705187,219932268,222655424,224993832,227025514,228797734,230358875 Dl.O(d2) = 226849268,226849257,224794759,265592339,228640537,226849276,224794776,222428176,265028989,212469708,207653985,264497344,166921493,262317791,142599094,129228337,115300204,101222165,87221318,258848985,60849726,257037169,30907423,30907422,256569444,32021049,32021048,32020628,24459266,24459265,24459581,24459218,18040532,18040531,18040538,12788219,12788220,18040540,24459226,32020579,24459444,18040706,12788309,12788308,18040703,255516998,17190858,12087865,12087866,12788365,8693906,5658451,3518869,2093142,2093143,3518871,5658455,8693914,12788377,18040818,18040482,12788187,8693800,8693799,12788184,18040478,24459130,32020459,29987499,22620067,16435408,16435409,22620070,24459535,22598230,22598228,29962744,24459584,24459585,32021013,40776857,32020576,24459222,24459221,255512458,24459291,18040593,12788248,12788247,18040592,24459289,32020652,32020668,32020669,40776937,50893182,41484934,41484935,37856458,29288006,29288007,32548742,32548741,41406921,51647648,62493362,50893523,40777287,254943576,41733034,41733035,52047765,63390376,63390377,75411817,62492920,50892972,40776723,37856460,37856461,47780031,48963154,51647653,50893395,40777157,40777158,40776918,32020648,24459287,18040590,18040589,24459285,255956946,48081092,46311821,256580032,32548693,40776917,40776916,50893161,53700289,43188427,43188428,40776923,37837870,29271668,29271669,37837871,32020645,32020644,28000433,20835909,20835911,28000436,255512414,51647674,63390385,51755060,51755058,50448445,40414136,32548753,24899361,18396581,18396582,24899362,32548754,41406936,51647631,51647630,62493078,59634061,49368306,39439488,39439489,49368307,57656298,53700294,256561764,57656276,50448451,255922898,24215161,31722321,40414143,48247250,59634070,51755359,51755358,63534044,53700296,53700297,62493355,62493354,62068965,62068964,50576582,50576581,43188466,43188468,53700320,63534051,51755361,256606951,24942726,24942725,32606448,41485287,51754878,63533690,76613662,269441962,256580030,41406949,32606526,24942784,24942783,23095702,16840150,16840149,23095700,30511088,39108110,49037929,60441905,58001847,46626118,36738251,36738250,46626117,257734551,59437022,59437021,70717854,58001906,46626163,36738274,36738275,46626167,41221915,32398238,24775032,24775031,32398236,41221911,51418653,51418600,41221873,32398212,32398211,41221869,41221895,41221894,51418627,63115425,76120845,76120844,63115413,51418615,51418616,258940304,270865895,63115405,63115406,76120877,85769632,86701836,73098421,73098420,86701893,99723440,85769610,72175430,59436945,48045048,38131693,29565877,29565878,38131694,46626181,46626179,58001913,258020929,258126128,72175459,72175364,59436825,59436826,48045021,38131676,38131677,38131607,29565816,22219998,22219997,29565813,38131605,48044926,51965001,269065794,40967604,40967603,48045002,58094448,268745544,73308923,62741259,51110031,51110032,51110034,62741261,59436801,48044907,38131587,38131588,48044909,40952882,256070289,24587312,268492050,256126538,70832898,62741179,51109996,51109995,61254935,51109991,40967607,32187957,24600456,18152968,18152965,24600448,32187938,40967591,51109966,62741204,51110024,40967637,32187979,32187980,36652866,36694394,28204139,21012100,254716234,25434228,25434229,268374834,46580740,36694432,36694431,46580738,57957156,46580746,46580747,57957152,57875411,57875412,57957123,70576188,57875402,255373920,36652946,46519913,57875400,256826536,70675929,84229397,77533302,64365296,52492412,46519941,36652965,36652966,40638876,50698003,62218141,70576226,57875460,46519966,36652988,28177270,28177271,36652991,256826522,57957087,46580672,46580673,46580836,46520050,42135458,33177719,33177720,42135462,46580762,36694453,36694452,36694451,255373924,36694407,28204147,21012103,15091286,10408419,6861049,4305947,4305948,6861051,10408426,10408427,15091298,21012127,28204185,36694465,46580674,46580810,46580809,57957233,57957241,46580815,46580814,46580813,36694501,28204204,28204180,28204181,36694457,268374836,64403707,52530330,42172405,33212812,25465252,25465253,18864993,18864994,256129419,42172414,52530342,52530399,52530400,64403746,52530377,42172440,33212839,33212838,42172439,52530375,52530380,59974243,59974242,72711292,77571804,77571803,77571808,76613946,63534071,51755385,51755386,63534072,76613948,86308144,86308147,72711296,59974251,59974252,50893558,40777320,40777319,42512971,33513428,33513427,42512969,52922730,64847603,64847602,52922724,42512965,33513424,33513423,30452356,25734166,25734165,32410138,24785221,18303416,12992330,12992331,18303418,19253272,19253270,25915425,33722288,38666363,30089010,30089011,256090594,30452558,23044323,16798639,11745581,7841886,7841888,11745583,267985127,7841794,11745431,11745366,7841740,7841738,11745363,268238739,22707147,22707146,30089043,24578698,24578699,23044233,23044234,24587375,255512459,16798685,23044367,30452465,30452464,24587387,18142908,12865499,8749486,5696564,5696565,8749488,12865502,18142915,24587394,32173439,31661561,24150937,24150936,31661558,40356660,39041973,39041974,48446717,48446718,40356656,40356657,50391617,61881293,74673443,88298984,102292243,116381946,261315343,156076292,156076290,156076291,167679769,178137530,187368839,195403762,273893959,212811805,216705187,219932268,222655424,224993832,227025514,228797734,230358875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166050, s2 = 10333327, dlinesl.size( ) = 2 s1 = 14166050, s2 = 10333327, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166050, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7121293, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8840796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10268602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8674238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8674238, s2 = 7002196, int(edited[s2]) = 0 s1 = 8674238, s2 = 7002196, d1 = 78, d2 = 76 Dl.O(d1) = 262210578,202321208,208090819,212847541,216736351,219959002,222678904,225014298,227042627,228812449,265554732,265857304,266111828,236932327 Dl.O(d2) = 259406239,114238556,261201387,141486813,154152477,165913560,176562130,185986316,194202720,201240539,207165004,212050402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8674238, s2 = 7002196, dlinesl.size( ) = 2 s1 = 8674238, s2 = 7002196, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8674238, Dl.E( ) = 86, 3.5e-05 seconds used appending s1 = 8768872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5306189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5306189, s2 = 6036346, int(edited[s2]) = 0 s1 = 5306189, s2 = 6036346, d1 = 0, d2 = 41 Dl.O(d1) = 219966467 Dl.O(d2) = 240227365,266875948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5306189, s2 = 6036346, dlinesl.size( ) = 2 s1 = 5306189, s2 = 6036346, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5306189, Dl.E( ) = 58, 1.88e-05 seconds used appending s1 = 8777014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8835069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358765, s2 = 11202764, int(edited[s2]) = 0 s1 = 10358765, s2 = 11202764, d1 = 61, d2 = 53 Dl.O(d1) = 202374950,208136535,212887790,216772911,219992688 Dl.O(d2) = 273497642,272089970,270134646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358765, s2 = 11202764, dlinesl.size( ) = 50 s1 = 5385193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5385193, s2 = 3978927, int(edited[s2]) = 0 s1 = 5385193, s2 = 3978927, d1 = 13, d2 = 19 Dl.O(d1) = 222712642 Dl.O(d2) = 143788939,130460734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5385193, s2 = 3978927, dlinesl.size( ) = 14 s1 = 4553799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13686775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7285763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7352253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7292737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7292737, s2 = 5308860, int(edited[s2]) = 0 s1 = 7292737, s2 = 5308860, d1 = 0, d2 = 0 Dl.O(d1) = 265061097,220056775 Dl.O(d2) = 265061097,220056775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7292737, s2 = 5308860, dlinesl.size( ) = 2 s1 = 7292737, s2 = 5308860, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7292737, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8712089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5309665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5309804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7274329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7274329, s2 = 11857725, int(edited[s2]) = 0 s1 = 7274329, s2 = 11857725, d1 = 25, d2 = 26 Dl.O(d1) = 264845403 Dl.O(d2) = 255568718,254853236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7274329, s2 = 11857725, dlinesl.size( ) = 20 s1 = 7341699, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7769322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7769322, s2 = 5460410, int(edited[s2]) = 0 s1 = 7769322, s2 = 5460410, d1 = 62, d2 = 48 Dl.O(d1) = 274677475,265455753,265774935,230481067,266269250,266161086 Dl.O(d2) = 265774929,225189430,225189431,265774927,274369407,265307712,261375719,260209219,260209221,131831970,261914515,168988732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7769322, s2 = 5460410, dlinesl.size( ) = 32 s1 = 7262948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7272677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4802988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4802988, s2 = 14275882, int(edited[s2]) = 0 s1 = 4802988, s2 = 14275882, d1 = 171, d2 = 353 Dl.O(d1) = 196222021,264326301,213262456,217062959,220219828 Dl.O(d2) = 256957062,87749281,87749280,98146635,84253306,78499805,78499804,256414680,62425709,50841914,50841913,62425707,75325436,89054402,103125266,89054392,89054393,258146470,105340813,105340814,101211392,87210428,76217512,63206502,51496303,41281902,41281903,51496305,63206508,76217522,81012627,67542868,55198926,44348355,44348356,55198928,67542872,81012631,95071757,109326608,104146676,91483195,91119711,77202567,64061431,64061432,77202568,91119713,105340816,115289968,115289967,120114108,105902017,91694518,77766860,64583757,61990285,50498503,50498490,50498493,61990261,74786625,77552423,64384396,52510718,52510717,64384394,257788803,52510714,61237066,74017702,77552428,77552429,71207932,71207934,64384458,61990278,50498498,40462532,31767893,31767894,269008363,50498482,42152823,42152824,50498470,40462504,40462505,50498473,61990243,64384409,52510742,52510743,64384378,52510705,42152826,42152827,52510709,52510817,42152933,33194000,256643389,52510816,59359012,47967863,38054600,38054601,47967867,47112522,37215541,37215540,38054603,38054602,47967807,59358948,59358988,72092680,85679567,91483219,91483218,98709657,84781385,72092693,59359004,47967858,47112530,38054571,38054570,47967819,258117069,257837504,46379308,46379307,47112527,47112528,38054569,29490691,29490690,38054567,47967816,59358964,59359008,72092660,72092661,85679556,99628841,85679569,72092684,59358990,47967840,256384895,29490707,256927027,59358979,72092670,59358972,59358971,72092669,84517303,70953643,58236552,58236551,60338078,72092666,59358968,59358969,59358995,60338103,48940644,48940643,42647221,42647220,53097812,58236544,48940655,48940654,48940607,48940608,60338070,60338068,59359005,59359006,58236554,46868860,36990261,256850423,257580739,257580741,47967826,39017369,39017368,48940600,48940641,53097808,48940657,39017425,255955915,23022865,268238481,16781868,23022836,30428263,30428293,23022861,23022860,23022864 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9583988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7738690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7738690, s2 = 12660075, int(edited[s2]) = 0 s1 = 7738690, s2 = 12660075, d1 = 113, d2 = 115 Dl.O(d1) = 274114510 Dl.O(d2) = 1448187,1448184,2511586,4199425,6701372,10197911,14827736,20678946,27777029,36145806,45887619,45887519,45887520,57125205,258601005,97226070,111236039,125122099,138518724,262114919,163183590,174060192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7738690, s2 = 12660075, dlinesl.size( ) = 2 s1 = 7738690, s2 = 12660075, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7738690, Dl.E( ) = 136, 3.72e-05 seconds used appending s1 = 10356733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356733, s2 = 7368203, int(edited[s2]) = 0 s1 = 10356733, s2 = 7368203, d1 = 95, d2 = 136 Dl.O(d1) = 132459636,145706123,262432367 Dl.O(d2) = 188729596,196526483,264607843,217169746,220306567,220306565,265277407,222965523,265918537 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13860619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13850317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7217700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10281695, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5376487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5376487, s2 = 14320987, int(edited[s2]) = 0 s1 = 5376487, s2 = 14320987, d1 = 79, d2 = 51 Dl.O(d1) = 222455443,224818379,223078467,223078466 Dl.O(d2) = 264412404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5376487, s2 = 14320987, dlinesl.size( ) = 26 s1 = 9576636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5337290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8814089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5317822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5317822, s2 = 2191586, int(edited[s2]) = 0 s1 = 5317822, s2 = 2191586, d1 = 28, d2 = 49 Dl.O(d1) = 220525223 Dl.O(d2) = 59287167,72023809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5317822, s2 = 2191586, dlinesl.size( ) = 2 s1 = 5317822, s2 = 2191586, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5317822, Dl.E( ) = 68, 2.41e-05 seconds used appending s1 = 5318391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9584239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8843010, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9277506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5320174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5320174, s2 = 14286151, int(edited[s2]) = 0 s1 = 5320174, s2 = 14286151, d1 = 7, d2 = 1 Dl.O(d1) = 220605346 Dl.O(d2) = 27961518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5320174, s2 = 14286151, dlinesl.size( ) = 2 s1 = 5320174, s2 = 14286151, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5320174, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 5397590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5321865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7356946, s2 = 10250254, int(edited[s2]) = 0 s1 = 7356946, s2 = 10250254, d1 = 8, d2 = 10 Dl.O(d1) = 265794100,223260075 Dl.O(d2) = 265097878,264363444,197518604,262939044,261981838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7356946, s2 = 10250254, dlinesl.size( ) = 14 s1 = 13815675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5399252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5399252, s2 = 6422528, int(edited[s2]) = 0 s1 = 5399252, s2 = 6422528, d1 = 99, d2 = 64 Dl.O(d1) = 223284969,265481015,265795785,266059869 Dl.O(d2) = 254149027,2296198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5399252, s2 = 6422528, dlinesl.size( ) = 72 s1 = 5323522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10263668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5324163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5400285, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5240962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5240962, s2 = 5650077, int(edited[s2]) = 0 s1 = 5240962, s2 = 5650077, d1 = 34, d2 = 33 Dl.O(d1) = 214013447,217669687,220720939,223317206 Dl.O(d2) = 232071683,232071684,232071688,230727651,230727652,232071690,233282330,234377985,235374262,266557133,237868716,238558011,238560948,237872040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5240962, s2 = 5650077, dlinesl.size( ) = 32 s1 = 7300481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5400591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5363610, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5242032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5242032, s2 = 5242033, int(edited[s2]) = 0 s1 = 5242032, s2 = 5242033, d1 = 1, d2 = 9 Dl.O(d1) = 217733200,217733201,220772206 Dl.O(d2) = 225597024,223359756,220772208,217733203,214091797,214091795,264816790,223359752,223359757,220772208,217733202,214091796,263976786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5242032, s2 = 5242033, dlinesl.size( ) = 8 s1 = 10361069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7277903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5325828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7329728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8938446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7343286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5327085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5327085, s2 = 9266722, int(edited[s2]) = 0 s1 = 5327085, s2 = 9266722, d1 = 0, d2 = 7 Dl.O(d1) = 220823848,220823849 Dl.O(d2) = 3877556,6195270,8849506,5767623,3592546,2141959,2141960,3592548,254632041,12998301,18310931,24794306,32420377,27198139,20271627,14544438,10006977,6576264,4119601,2464195,2464191,1524486,1524394,864469,864465,1524462,2639305,3595625,4416836,7022937,10638367,15393255,21374314,28609190,37119224,30146018,22759071,16547065,11533057,7672574,254363209,2925575,4854788,5373538,5374710,5376735,5376734,8330871,9063780,5935199,3711100,2222330,1289140,1289141,2222334,3711107,5935216,4269093,4269094,6783241,4252191,2542046,2542047,1469326,1469327,2540670,2540669,4249844,6779918,8334958,5379497,5379495,8334955,12337829,11271053,7481988,6829916,4284953,4284952,6778228,4248710,254218509,1463499,2540065,4248708,6778226,10306605,13319545,14975401,10307769,254482623,2540443,2540442,4234295,4234296,6757114,8598525,5587232,254616369,267878885,2555956,267878887,10351090,13281148,15028114,20887817,20887816,18664409,13272765,10313910,6784466,6784468,8594879,5584570,3464793,3464790,4245302,2538302,2538303,1462637,1462639,2538385,4245614,4274925,4274929,3466897,2055759,1179325,662164,662163,1179318,2055745,3466879,5588214,8599949,12664438,17880723,24258260,31770487,40465311,50501383,61993343,74789898,88422023,102423202,116519765,130357490,143683177,156212890,272617275,143683176,156212888,167807079,167807080,178250374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5327085, s2 = 9266722, dlinesl.size( ) = 2 s1 = 5327085, s2 = 9266722, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5327085, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7278500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7278500, s2 = 9355058, int(edited[s2]) = 0 s1 = 7278500, s2 = 9355058, d1 = 133, d2 = 159 Dl.O(d1) = 264895457,220877768 Dl.O(d2) = 54715191,257217364,26701555,19880589,255733249,14244336,9791966,6437351,254683717,14244332,19880588,268540051,19880586,19880587,26701552,30861370,23431029,17154419,15060651,10385748,6844544,6844543,10385770,15060679,18958880,13522715,13522714,18958878,25568882,33329094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7278500, s2 = 9355058, dlinesl.size( ) = 58 s1 = 7734511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7734511, s2 = 15015363, int(edited[s2]) = 0 s1 = 7734511, s2 = 15015363, d1 = 12, d2 = 14 Dl.O(d1) = 274018044,220880079,217867011,214261489,214261490,217867014,220880087,223448363,225671296,264300958,220880060,217866998,217866999,220880062,223448356,225671290,225671285,223448345,220880048,217866992,214261477,214261478,217866978,217866977,220880037,223448329,274215286,230798052,265052940,225671302,223448366,220880092,220880091,220880088,220880087,223448363,225671296,225671295,227606532,265256544,229299925,229299926,229299919,227606516,225671255,264300952,220880020,223448303,223448347,220880051,220880052,223448349,264827704,220880033,217866975,214261474,214261473,217866987,220880045,264578614,223448315,220880030,217866972,214261464,214261463,217866969,220880027,220880068,223448339,264578616,223448349,264827704,220880033,217866975,214261474,214261473,217866987,220880045,264578614,223448315,220880030,217866972,214261464,214261463,217866969,220880026,223448310,223448323,225671264,227606526,227606528,225671273,225671274,264300962,217867005,217867004,217866980,263991834,223448327,223448328,225671269 Dl.O(d2) = 225671271,264300962,220880067,223448360,225671284,223448345,220880048,264300956,264300954,220880043,217866982,214261471,209870205,204513483,198088625,198088624,204513480,263262758,263262756,217867010,220880073,219954770,216731046,216731047,219954774,222675413,223448324,223448323,225671264,227606526,227606528,225671299,264300964,263645952,214261488,209870230,262367208,190547986,181812512,181812513,190547984,198088637,204513498,209870226,263645956,220880095,264578622,227606519,225671255,264300952,220880020,223448303,223448347,220880051,220880052,223448349,264827704,220880033,217866975,214261474,214261473,217866987,220880045,264578614,223448315,220880030,217866972,214261464,214261463,217866969,220880026,223448310,223448323,225671264,227606526,227606528,225671299,264300964,263645952,214261488,209870230,262367208,190547986,181812512,181812513,190547984,198088637,204513498,209870226,263645956,220880095,264578622,227606519,225671255,264300952,220880020,223448303,223448347,220880051,220880052,223448349,264827704,223448307,223448306,220880055,220880056,220880096,220880097,223448372,223448320,220880044,217866984,214261472,209870205,209870206,209870222,204513497,198088634,190547983,181812510,171847729,160660900,269885916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7734511, s2 = 15015363, dlinesl.size( ) = 2 s1 = 7734511, s2 = 15015363, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7734511, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7749565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5404966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5404966, s2 = 5246544, int(edited[s2]) = 0 s1 = 5404966, s2 = 5246544, d1 = 4, d2 = 0 Dl.O(d1) = 223558830 Dl.O(d2) = 221026610,218064992,218064991,218064993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 7329631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7214197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7343020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8763553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5331539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5331588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5331972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5331972, s2 = 7236550, int(edited[s2]) = 0 s1 = 5331972, s2 = 7236550, d1 = 3, d2 = 18 Dl.O(d1) = 221149037 Dl.O(d2) = 264376448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5331972, s2 = 7236550, dlinesl.size( ) = 20 s1 = 8722231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9720520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9720520, s2 = 14361682, int(edited[s2]) = 0 s1 = 9720520, s2 = 14361682, d1 = 21, d2 = 25 Dl.O(d1) = 2413867,4028214,6420891,9765741,14205887,19831004,26644261,26644269,19831008,19831007,19831006,19831005,26644266,34635311,34635310,43908295,54650641,66907149,66907147,66907148,80333405,94387176,108673461,122937407,136768221,260327120,122937410,108673462,108673463,108673464,108673465,122937412,136768223,149908839,162120647,173220433,183071244,183071242,183071241,181794957,171827923,171827922,181794956,190532358,198075169,264384537,209328835,203855594,197298488,189611289,180714877,170585073,170585072,170585078,159249359,146877975,133624327,119754438,105520361,105520362,119754439,133624329,146877977,159249357,159249358,170585077,180714880,189611293,189611294,189611295,193164368,184813108,175248013,164468948,164468947,175248011,175248021,175248018,164468952,164468951,164468953,152615171,139907134,126543566,126543562,112680632,112680627,112680628,113635098,127506714,140862572,153538782,153538787,165330489,176023250,185495021,185495028,185495022,185495023,193760525,193760528,200848137,206829702,211772663,264985397,221973151,224395411,226499040,226499046,228331577,265993405,232645130,232676253,231400723,229977254,228372823,226545539,224448529,222034312,219222581,215890955,211863336,264760775,219222578,222034307,224448525,226545534,226545535,228372821,229977253,231400721,231366658,229939727,228331574,226499041,226499042,226545542,226545541,224448533,224448534,226545533,224448535,265201111,215890958,211863338,206934376,200968423,200968421,193895066,185642725,176184369,262237861,153731027,163285326,163285323,151398887,138691024,138691025,262118393,174140139,177922405,262716205,165508123,261723029,141064259,127713246,113842453,99826568,258755301,48159347,38250185,29685172,29685174,38250188,48159348,268636289,268636287,48159349,59546342,72280799,85872852,99826578,113842470,127713264,133595770,119721532,105482356,91260027,77340187,77340188,258335632,47560845,37654981,29105564,21807092,15745903,10905332,7212464,7212465,10905335,9997114,9997113,14528714,20246684,24793830,24793831,21441354,21441355,28692261,24793835,24793836,25354431,33087065,256055208,28572188,24688835,18221477,12924275,12924276,16236813,16236814,22397275,29758241,28708003,21453222,15454627,15454628,21453223,28708005,37040342 Dl.O(d2) = 59342684,47951354,38037961,29475132,256383675,42667776,42667775,46353096,36495158,268902465,57702442,70396547,83922709,83922740,70396579,70396578,57847665,57847666,70396445,257592636,60489567,49086508,46353092,46353091,57702433,70396544,83922703,97781255,258623675,70396584,83922743,97781305,258638353,57847804,46491809,36625491,28152049,28152052,36625493,46491533,55704383,44797009,35372254,27247844,20315741,14579513,14579514,20315742,27247847,35372262,36495192,28032459,20864669,14962612,14962611,20864667,27253865,35378612,44803247,256727966,38761872,30178641,27254399,20321217,20315768,20315767,27247886,35372311,31997189,24439069,24439068,27254062,35378870,44803328,35378692,35378693,44803330,44803914,55710802,60643259,49242585,39315639,39286714,30689434,27253911,27247910,27247911,35372338,44797097,55704464,58551023,257251050,55704526,256692416,268499254,36791858,36791857,46677878,44797187,35372384,27247930,27247931,35372387,44797190,55704602,65536339,53768187,43251924,43251923,53768185,64618949,52718809,52718810,64618951,65536225,65536219,255296768,33976015,26137175,26137176,33976017,33976443,26137521,26137520,33976441,33977166,33976034,33976035,43033002,43032966,33976005,26137161,24160569,24160570,19441251,19441252,20878639,28046531,33014192,25289179,18716230,18716229,25289177,33014189,41956551,52297558,64149955,52360442,42021589,33077695,25347395,25347396,33077694,25347394,18766184,18716226,18716225,25289171,33014176,38315778,38315777,48225429,54631826,66889504,63275614,59611886,257251156,256174142,38315856,29747093,22387576,16229047,11281992,11281993,16229050,255908899,38315865,48225516,268740811,25347424,22387532,22387531,25347423,25347422,33077740,42021632,48225469,256405589,29747129,22387903,16229231,16229230,255908937,27123997,20219933,20219932,22387381,22387379,22388009,22387545,16229026,11281976,11281975,16229024,22387541,29747040,256947845,35216895,256755661,29746917,22387441,16228955,16228954,22387438,256405559,48225332,256947827,38315645,48225334,59611796,48226457,48226458,59094972,48225327,38316975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9720520, s2 = 14361682, dlinesl.size( ) = 2 s1 = 9720520, s2 = 14361682, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9720520, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 9592032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7279593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7279750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7279750, s2 = 5506388, int(edited[s2]) = 0 s1 = 7279750, s2 = 5506388, d1 = 13, d2 = 11 Dl.O(d1) = 264916419 Dl.O(d2) = 226617498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7279750, s2 = 5506388, dlinesl.size( ) = 14 s1 = 5250991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7279879, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4408474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13838965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280242, s2 = 6139470, int(edited[s2]) = 0 s1 = 7280242, s2 = 6139470, d1 = 51, d2 = 39 Dl.O(d1) = 264921793 Dl.O(d2) = 242500388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280242, s2 = 6139470, dlinesl.size( ) = 20 s1 = 8783855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13871495, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7280716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5412271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8734538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5337775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13861387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15284919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5256346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14196837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14196837, s2 = 5370566, int(edited[s2]) = 0 s1 = 14196837, s2 = 5370566, d1 = 0, d2 = 21 Dl.O(d1) = 86986327 Dl.O(d2) = 230122082,228533757,226726886,224654739,222268969,219489850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14196837, s2 = 5370566, dlinesl.size( ) = 2 s1 = 14196837, s2 = 5370566, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14196837, Dl.E( ) = 58, 1.69e-05 seconds used appending s1 = 5413611, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9275140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9275140, s2 = 6669891, int(edited[s2]) = 0 s1 = 9275140, s2 = 6669891, d1 = 78, d2 = 63 Dl.O(d1) = 70398709,57704687,46355368,36497403,255786553,14964751,14964750,13281140,9065271,9065272,10363218,10363641,6826959,6826960,9071197,9071198,13288275,18681104,20944280,28121609,256236616,57817133,70518431,84053583,97924335,111858572,125674576,139013398,151717479,272467847,123941158,123941159,137619678,150616089,162714103,173722284,173722270,162714091,262589419,163596263,151717474,260417570,97924334,97924333,259806414,123941148,123941147,137619663,150616067,150616078,137619672,137619671,150616076,162714090,173722269,174436920,261569144,260417568,125674572,139013395,151717472,163596262,174436921,184090029,184090035,263039982,263810448,192048087,183499518,173722285,173722284,262098080,163596253,173722267,162714089,162714090,173722269,174436920,261569144,260417568,125674572,139013395,151717472,163596262,174436921,184090031,184090032,183499515,173722275,173722274,183499504,183499506,173722261,173722260,163596271,163596270,174436929,184090037,273679672,183499502,183499501,192048083,199402887 Dl.O(d2) = 257151105,63212297,258978457,104154168,118308816,116543560,259543599,62016698,257103713,24280789,255204277,8611987,5597350,5597351,254656495,6083945,9287208,13564369,19005780,13674672,9364549,9364548,9287206,6083944,6083943,9287205,13564366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9275140, s2 = 6669891, dlinesl.size( ) = 12 s1 = 8939555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5415286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9607034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5416581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5416581, s2 = 15210189, int(edited[s2]) = 0 s1 = 5416581, s2 = 15210189, d1 = 15, d2 = 4 Dl.O(d1) = 223946976,221471697,221471698,223946967,226089879,226089886,226089880,226089881,227955948,229595273,231052117,229595278,227955956,226089891,265684327,226089895,265830891,229595274,227955969,227955951,226089888,223946971,221471694,264940667,210983475,205884183,199718687,199718688,205884185,210983477,215150772,218582812,221471700,223946980,226089904,227955951,226089888,226089880,226089881,227955948,229595273,231052117,229595278,227955956,226089891,265684327,223946975,223946974,226089893,226089898,227955960,227955958,265830891,229595274,227955966,227955963,226089900,223946978,223946980,226089904,227955951,226089888,226089880,226089881,227955948,229595272,227955959,227955960,265830889,226089883,223946969,223946968,226089881,227955947,226089885,223946970,221471694,264940667,210983475,205884183,199718687,199718688,205884185,210983477,215150772,218582812,221471700,223946980,226089904,227955951,226089888,223946971,221471694,264940667,210983475,205884183,199718687,199718688,205884185,210983477,215150772,218582812,221471700,223946980,226089901,227955965,229595276,227955954,226089890,223946972,223946973,265684327,223946975,223946974,226089892,227955952 Dl.O(d2) = 226089889,227955952,226089903,226089904,227955951,226089888,223946971,221471694,264940667,210983475,205884183,199718687,199718688,205884185,210983477,215150772,218582812,221471700,223946980,226089904,227955951,226089888,226089880,226089881,227955948,229595273,231052117,229595278,227955956,226089891,265684327,223946975,221471696,274080774,205884185,210983477,215150772,218582812,221471700,223946980,226089904,227955951,226089888,223946971,221471694,264940667,210983475,205884183,199718687,192429704,183963606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5416581, s2 = 15210189, dlinesl.size( ) = 2 s1 = 5416581, s2 = 15210189, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5416581, Dl.E( ) = 16, 4.05e-06 seconds used appending s1 = 13843511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8881134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5342792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5343808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8847263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8847263, s2 = 13983413, int(edited[s2]) = 0 s1 = 8847263, s2 = 13983413, d1 = 42, d2 = 59 Dl.O(d1) = 262624827,184119080,192570001,199842271,205989368,211071322,215224936,211071310,264710511,218646595,265352657,221526953,223996032,223996036 Dl.O(d2) = 231085462,266205325,266406533,266243516,266140930,229632918,227997552,226135297,223996041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4724404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5344787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5344787, s2 = 15910050, int(edited[s2]) = 0 s1 = 5344787, s2 = 15910050, d1 = 45, d2 = 9 Dl.O(d1) = 221564791,224028302,226164147,226640767,224557822 Dl.O(d2) = 193559134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5344787, s2 = 15910050, dlinesl.size( ) = 2 s1 = 5344787, s2 = 15910050, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5344787, Dl.E( ) = 46, 1.91e-05 seconds used appending s1 = 14132525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8870845, s2 = 11480552, int(edited[s2]) = 0 s1 = 8870845, s2 = 11480552, d1 = 60, d2 = 45 Dl.O(d1) = 229622748,229622749,265833986,221584499,218717789,215319077,211202614,264448672 Dl.O(d2) = 213800395,213800394,265089091,265471519,217485931,213800395,213800394,265089091,265471519,220560022,223174497,265636755,227398316,227398315,225434076,223174493,223174492,265471521,220560023,217485932,213800395,264351925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8870845, s2 = 11480552, dlinesl.size( ) = 2 s1 = 8870845, s2 = 11480552, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8870845, Dl.E( ) = 62, 4.6e-05 seconds used appending s1 = 9326991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054849, s2 = 13330579, int(edited[s2]) = 0 s1 = 15054849, s2 = 13330579, d1 = 43, d2 = 30 Dl.O(d1) = 230792169,266067084,274383570 Dl.O(d2) = 25832062,19203403,13715630,13715629,19203402,25694947,19171518,13690448,9375942,6142096,6142095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054849, s2 = 13330579, dlinesl.size( ) = 2 s1 = 15054849, s2 = 13330579, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 15054849, Dl.E( ) = 46, 1.38e-05 seconds used appending s1 = 5345760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5346122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5346122, s2 = 7828089, int(edited[s2]) = 0 s1 = 5346122, s2 = 7828089, d1 = 14, d2 = 0 Dl.O(d1) = 211244166,215348950,218740835,218740817,218740816,218740838,218740821,218740820,221604364,224063728,265176364,265701714,226647161,224564795,265374268,216070825,212082223,207199672,201279896,201279897,207199674,207199675,273982552,194246697,186035923,176617556,176617557,176617558,165973796,154216777,154216776,165973795,176617557,176617558,165973796,262193426,128199044,114316317,100285979,86323854,72726337,59988975,48597050,38680793,30103656,22722049,16516984 Dl.O(d2) = 11510849,7657350,4845109,2919768,254486607,4283281,4845114,2919771,1693759,963182,963181,1693758,2919769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5346122, s2 = 7828089, dlinesl.size( ) = 2 s1 = 5346122, s2 = 7828089, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5346122, Dl.E( ) = 16, 4.05e-06 seconds used appending s1 = 5346278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7742129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8774431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8774431, s2 = 7895900, int(edited[s2]) = 0 s1 = 8774431, s2 = 7895900, d1 = 33, d2 = 35 Dl.O(d1) = 142518416,263604561,263849172 Dl.O(d2) = 261641022,142518417,129141276,115209696,101131874,87133695,257428656,17904730,255595723,12175127,8206876,5277727,4530858,4530859,3313979,3313980,4784731,2883373,2883372,4784729,7191985,4530762,2723470,2723469,1578352,897406,897407,951751,536665,536664,951742,1673025,2723522,2723521,4530828,2884701,1674084,952402,537012,537011,952398,952392,537008,268426550,254536353,7567916,7567915,255053433,7192210,4530995,4530996,254536331,268640464,2882985,4784274,2884961,1674255,254240499,1673945,1673944,2884511,4530979,2884052,1674246,952482,952481,952274,536932,536933,536995,952363,1673714,952155,536879,536880,952157,1673716,2883854,1673453,1673454,1674503,1673068,1673070,1673746,1673780,1673779,2884293,2882966,2882967,2884810,2883312,2883313,2884266,4785844,4785417,2883907,2883908,2885208,1674443,952606,537121,301148,166772,166773,301153,537025,952435,1674160,1673286,951902,951904,1673288,2883602,4785011,4457240,4457241,4785947,7568323,4786933,4786934,4785776,2884197,2884198,4785778,4456682,2677322,2677323,4456684,254736597,7567242,7567243,11390021,10715730,7079414,4457121,4457120,4988795,7079548,4457216,2677629,2677628,4456967,2677495,2677494,1551135,881853,497620,279060,279059,497614,881843,881813,497602,497603,881819,881764,497580,497581,881770,881715,497556,497555,881711,1550852,2677358,2677449,1550907,1550910,2677457,4456905,7079101,4785533,4785532,7567843,7567359,7567360,11390155,16366469,11389759,7567067,7567065,7569196,7569195,11392382,15494902,15495445,10715946,7079613,4457260,4457259,7079611,7079210,7079209,267964915,4530967,4530966,7078793,7078792,255039155,7078988,4456846,2677427,1550895,881729,497563,279044,279045,497564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8774431, s2 = 7895900, dlinesl.size( ) = 30 s1 = 5422396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7384877, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5422682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7216712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5423316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5423994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5350189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7332426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7332426, s2 = 5145105, int(edited[s2]) = 0 s1 = 7332426, s2 = 5145105, d1 = 61, d2 = 40 Dl.O(d1) = 265521941 Dl.O(d2) = 213879451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7332426, s2 = 5145105, dlinesl.size( ) = 22 s1 = 5387319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4595641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4595641, s2 = 14155796, int(edited[s2]) = 0 s1 = 4595641, s2 = 14155796, d1 = 87, d2 = 151 Dl.O(d1) = 184817777,273703193,221726903 Dl.O(d2) = 245929823,267534179,246328458,246237137,246139838,246038162,246038161,246139836,246237135,267534175,267512565,245929822,267512563,246237116,246328440,246237129,246237130,246328453,267553053,267569555,275045159,246328454,246237131,246139833,246038159,245929829,245814835,245814834,245929825,246038156,246139827,246237125,246328450,246414307,246495248,267543861,246139829,246139828,246237127,246328452,246328438,246237115,246237116,246328440,267523879,245929826,245929825,246038156,246139827,246237125,246328450,246414307,246495248,267543861,246139829,246038157,245929826,245929825,246038156,267523877,246328441,246328453,267553053,275050208,246038149,245929821,267500799,245929831,267474765,245561991,245422303,245274149,245115958,274992193,274964706,267066245,267174688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4595641, s2 = 14155796, dlinesl.size( ) = 66 s1 = 5424876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5424876, s2 = 7763384, int(edited[s2]) = 0 s1 = 5424876, s2 = 7763384, d1 = 33, d2 = 25 Dl.O(d1) = 224180097,221730666,218875897,215494628,211402354,206395555,200342007,193175690,184826023,175263117,164486662,152635231,139928385,126564187,112699945,98703970 Dl.O(d2) = 274586036,235286840,236203074,237038186,237801656,266645356,239716281,240256624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5424876, s2 = 7763384, dlinesl.size( ) = 2 s1 = 5424876, s2 = 7763384, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5424876, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 9508895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9508895, s2 = 8043090, int(edited[s2]) = 0 s1 = 9508895, s2 = 8043090, d1 = 102, d2 = 70 Dl.O(d1) = 259931738,126612837 Dl.O(d2) = 51026168,62652278,61408600,49929360,49929358,58276768,58276766,52866969,52866575,52866561,42463453,42463454,34629231,34629233,33470039,25696860,25696859,21415587,21415586,28660206,37179594,47073340,53254578,43901555,43901557,42463131,42463000,42462996,40496173,31801033,24286874,17905842,17905845,24286884,25961749,24286853,24286852,31800995,40496115,50531706,42463432,42463431,42463036,33469652,33469655,25696606,24537976,24537977,32115210,33469973,33469972,31593896,31593894,40278208,42463187,33469784,33469469,25696463,25696461,33469462,31593871,31593870,32303633,41115360,42463462,48143296,48143295,49453891,39521456,39521457,49453895,50290843,40269605,31582607,31582608,40269612,50290857,40496275,31801104,24286927,24286930,31801111,31185489,31185490,33958412,43015245,50401019,42463265,37041995,28543028,21319688,21319689,25696618,19071163,13615066,13615065,19071156,19071314,19071315,22314917,22314918,29666686,38232885,48143234,48704727,42462730,33469411,32303649,24691729,18223622,18223623,24691735,31997147,24439028,24439029,31628682,31185463,23695817,23695815,31185455,39867837,47840750,37920184,37920171,37920170,47079814,37184657,28663812,21418113,21418112,28663746,28663747,37184570,30738160,25574720,25574721,31177385,38619229,33334346,33334347,39158270,36536196,36536195,46397130,42463111,39336853,30738142,23318119,17053760,11963402,11963403,17053763,23318126,30738148,28663856,21418144,15427768,10665374,7043750,4432841,4432838,7043739,10665356,14349123,10290960,6765114,4239734,4239732,6765109,254999173 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5425378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8820705, s2 = 14999700, int(edited[s2]) = 0 s1 = 8820705, s2 = 14999700, d1 = 6, d2 = 27 Dl.O(d1) = 226322598,224199435 Dl.O(d2) = 262732310,261741706,126671111,261664081,260535486,259315006,22576860,22576859,16657994,11625603,7743928,4903874,2955720,2955719,2955563,2955562,4795741,4465127,2682598,1554001,883560,498570,498569,883557,967176,1701336,1698942,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,6814501,254794559,7686689,7603356,7603355,11431128,16415140,255483665,11449900,11449898,7748847,4907444,4907442,7734517,7734518,11450973,16435751,12332101,12332103,15786838,10936800,7236490,4561939,4561941,2743467,1590011,1590008,2743503,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285754,509761,903836,914331,516003,516004,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,920379,920375,1079948,1618018,1892392,2774719,1609528,915764,915765,1609533,1873281,1607584,914542,516120,289644,160326,160325,289635,516098,606499,337505,185404,185401,254133029,254104581,336253,268088408,267841491,5283912,4626155,4626154,2887488,1675867,1675866,1071964,1071963,1875919,3203584,5245065,3211861,1881229,1881230,3211862,2772517,2772518,254168008,3210817,5254182,4623430,254233773,918480,918479,1614892,2784143,2783935,1614780,918443,918440,1614809,2783689,3228874,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,3212423,1881692,1073494,1073496,1881699,3207928,4622288,7308271,5252430,5252429,4611498,3212378,3207466,1878428,1071648,1071649,1072525,1072386,602556,602559,1072236,1072235,1879461,2784134,3208946,1892803,1892802,3208470,1879620,1072338,602534,602536,1072343,1612683,917428,917425,1612672,1879869,3209614,3219082,2783097,2783096,3208091,3208090,5250724,4619473,2781561,2781563,4619478,4619463,4619464,7313337,4616434,4616433,3228848,3228847,3002476,3002475,4970932,5252998,7308281,8184418,8180289,5252294,5252295,8180463,7319839,4621527,4621528,5257449,3213427,3213428,4611474,7307460,4618785,4618784,7316635,5252063,3209223,3209221,5252053,8182295,12151900,17272624,16764786,16764787,22027565,15926648,15926647,15926643,15926644,15915896,11037435,7311775,4615089,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,3275214,5328216,3275126,1926407,1100694,1072720,1072722,1880344,3210495,2761335,2761336,4589744,5236840,8167120,8172343,5265371,5265373,8180713,5250282,3207726,1878575,1878577,3207738,5250301,7315285,8167760,8167759,12137432,8167392,5237055,5237056,8167397,8258098,12119993,12119995,11839860,11839861,8167692,5237257,3196990,1871422,1067504,599982,334255,334254,599973,1067485,1871385,3196934,5237147,5285225,5285227,8214645,5304257,5304259,8184184,8184185,7277725,7277723,8246018,12183779,12183778,15907825,22009266,17360418,12230465,8257995,5327529,4733437,2852088,2852086,4733431,4737313,5290943,4793898,4793897,7579069,8230732,8214978,5285484,3237829,1899529,1872420,1872419,3198573,3274690,1926160,1926161,3274697,4589650,3244337,3234963,1897687,1083157,1083156,1897682,3234949,5281608,8173223,5290949,3242292,1911956,1091891,1091890,1911950,3254966,5304270,8226617,8226616,8236242,8236243,12166524,12166523,8226818,8226820,5320961,3269777,3269776,5320959,4960282,267798003,1893605,3229164,5274982,8167298,12137303,8214957,5285861,3238139,254394541,254395473,8221425,5314807,5314808,5314823,3264271,3244355,1904152,1087040,610355,610357,254182553,1086954,1086955,1904021,3244192,3202125,3202126,3264760,3264759,5297192,5297191,3264458,254397119,7819658,5317676,3266608,1921398,1921397,3268214,5268998,3236409,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607784,1082163,1895973,3232554,5278840,8207804,255548203,12163713,12155657,8186026,5262317,3217535,3217536,5262319,8186031,12155668,12205164,8237156,5309541,5300431,3251279,1909202,1891784,1079543,606333,606334,604215,604213,1075561,1885246,3204470,3204406,2785467,1615686,1615689,2785479,1897227,1897229,3234348,2776568,1610694,916389,916391,1610700,2776579,4611570,7307558,5291197,5274587,3228824,1893396,1080605,916702,517215,517214,916693,1611256,2777424,3212712,1898285,1898283,3235912,4619739,4619740,2781756,1613597,917856,917855,1613591,2781746,4619757,3226678,1891767,1891768,1858367,1060548,596303,596302,1060545,1858359,3174479,3174618,2788545,2788547,4629056,5281041,7321499,7307599,4611613,2776600,1610716,1610717,2776608,2766022,2766027,3202642,4597812,5244074,7215382,7215383,10910031,11041328,11041327,11817686,15137376,15137377,15912657,11034305,8229831,5301115,5016818,3034836,1766361,1766362,3034843,5016833,7895897,8211049,8152836,7895852,7323863,7319184,4620943,2782550,1614045,1614044,2782542,1615380,1615382,2783478,1614554,1614558,2783491,2998871,2998869,2783588,2783590,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618917,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,11038287,11038289,11038266,11038267,12120145,15916489,22017985,17284806,12164080,267974478,15925621,15925622,11721897,7824463,7511525,4748302,4748301,7511532,11039504,254760199,7314009,254392557,1886241,1886239,3219046,5263947,7317130,8258709,8258708,12119022,12137860,12137861,12150502,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,1612178,1612179,2779053,3248260,1906894,1906893,3248256,4673437,4673439,7397694,8278099,8278100,12257373,15920388,11042754,8153652,8153651,8153050,5224077,3186856,1864900,1063854,1063855,1864906,3186867,254389413,5461177,3357632,1973902,1973903,3357635,5461180,8223914,5294254,5279088,3232811,1896189,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,4733774,5242025,3200829,2854548,2854549,4736597,7493307,5268028,254263583,1077936,1077937,1888987,3222743,5241478,8172299,8172363,254390661,1901877,1901878,3241249,3230350,1894426,1081250,607288,337925,185616,101522,101520,185611,185904,185903,338474,603908,1074980,1884262,1884982,1609312,1609313,1884786,1884785,1892953,1080289,1080290,1892955,1896276,1896277,3199546,1873116,1873113,3199539,2998199,1741303,1741305,2998211,1894492,1894488,1877861,1079553,1075548,604212,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740455,2996839,4962072,7819938,8181154,12151162,254967136,6854570,4301780,2571941,2571940,1882739,1882738,3213938,254580813,8179509,5249052,3206749,3206748,5249050,5861893,5861920,7577469,7577470,7574588,4790682,2887716,1676016,1676018,2887724,4790700,3289488,3289486,5258123,3213972,3213969,5258117,5258132,254835723,16274518,12201021,8232115,5304036,5304035,254837375,5279829,3233319,1896516,1896515,1516307,859694,859696,1516311,2626543,255393727,28497070,36994581,46873393,257135762,59727897,259394455,38358036,29786206,22421268,16255752,16255751,17453812,12303983,8310409,5362233,5362232,7210066,254341759,1582377,267788387,10901919,15741326,21801581,19599977,256532551,23983117,31480007,257015527,30638096,29246173,21926028,21926027,29246171,37810869,32700094,25016743,20201255,14495242,9973694,9973695,14495244,20201260,268551349,44567912,49733704,47789184,255656096,40566338,40566340,50607789,49402568,49402567,47012758,43938033,41602935,32700104,25016753,18487033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8820705, s2 = 14999700, dlinesl.size( ) = 8 s1 = 9597948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9597948, s2 = 7286586, int(edited[s2]) = 0 s1 = 9597948, s2 = 7286586, d1 = 60, d2 = 54 Dl.O(d1) = 254612342,29097468,268676572,257637932 Dl.O(d2) = 264991518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9597948, s2 = 7286586, dlinesl.size( ) = 18 s1 = 7264751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7264751, s2 = 11055188, int(edited[s2]) = 0 s1 = 7264751, s2 = 11055188, d1 = 27, d2 = 24 Dl.O(d1) = 264733917,218924759 Dl.O(d2) = 115801203,261259268,3285116,254589373,255167911,255116746,16760755,16625307,11596667,7719584,4886050,2944206,1707361,1707360,2944203,4886040,7719566,11596644,16625272,22849717,22429776,22429775,22849067,16624817,11596352,7719399,4885934,2944131,1707313,970467,546565,546564,970498,1707370,2944222,4886082,7719637,11596682,16625341,16625385,22849882,22849916,16625411,254170220,255116788,255941932,258162624,31262065,39937096,46949241,37069690,37069691,46949243,268613240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7264751, s2 = 11055188, dlinesl.size( ) = 20 s1 = 7727435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7727435, s2 = 8719370, int(edited[s2]) = 0 s1 = 7727435, s2 = 8719370, d1 = 64, d2 = 68 Dl.O(d1) = 273853796,264735148 Dl.O(d2) = 263663679,202576591,205374207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7727435, s2 = 8719370, dlinesl.size( ) = 22 s1 = 5353445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5427894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5427894, s2 = 10990638, int(edited[s2]) = 0 s1 = 5427894, s2 = 10990638, d1 = 40, d2 = 44 Dl.O(d1) = 224254182,221814251,264970479,211522125,211522124 Dl.O(d2) = 145288270,157699690,169142506,179411740,188444630,196311225,203038176,208673348,213303566,217093168,220243427,222912220,221792283,263610596,218945066,218945063,215571272,211489147,211489148,215571275,263223710,218945066,215571274,215571273,218945065,215571276,215571275,218945064,218945065,215571277,211489150,206494029,206494025,200451507,193297852,184963469,175419045,164660610,152823930,140129511,126779049,112924529,98935094,85009422,71436362,58704687,47315550,37407030,28865869,21591308,15564937,15564941,21591315,28865870,23547819,23547818,31028815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5427894, s2 = 10990638, dlinesl.size( ) = 12 s1 = 8748453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5428405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5354662, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5274454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5274454, s2 = 9671413, int(edited[s2]) = 0 s1 = 5274454, s2 = 9671413, d1 = 27, d2 = 33 Dl.O(d1) = 219000049,221840696 Dl.O(d2) = 37603134,29054985,21760421,15705182,10872176,10872175,15705181,21760420,29054585,37602747,47506544,48440391,38532099,29966208,22601371,16418205,16418204,17840669,17267440,17267441,23579211,254215380,17844052,17844053,20816253,16426250,11441604,7608290,4813274,4813275,7608294,11441610,16426262,14195702,9758584,6416420,4025485,4025483,4025792,6417030,9759698,12633580,12633578,17840582,14095742,9694836,6376306,4000662,2397494,2397493,4000659,6376297,9694811,14095701,267766910,15901456,22001310,23577903,23577904,17267828,12360753,8351758,5390617,5390619,6868806,10419474,12636620,12636621,254168438,30170523,34264212,26386797,26386798,19657686,19657687,21960162,21960161,29285931,26395001,19660755,19660756,19654945,19654944,26387597,255103416,23659042,26316329,23394271,23394272,30822383,25497356,18892174,13463162,13463164,11547638,7682665,7682664,11547635,11547563,10843580,7168351,7168350,10843574,7682805,4861195,4861193,7682801,7070426,7070427,8535743,8535744,7070463,4451539,4451538,7070456,8088803,8088807,12031989,12031990,8089296,8089298,9692260,6374932,4000017,4000015,6374929,9692245,14091618,19659289,23392540,26393597,22614141,22614140,26393605,23179714,16914816,16914817,19661259,14093117,9693267,6375457,6375456,9693262,7682440,7682443,7682494,7682492,11547314,9692750,9692749,14088577,14212593,14212589,19839051,22874986,19654334,17118764,17118762,21104531,17920560,12697117,12697114,17920553,19662162,19662175,21103841,20795866,14903167,13023592,13023593,18345571,24840739,24832023,18338383,18338382,19655136,22779209,21385916,20075335,14392841,14392840,10246893,6732602,4218102,4218103,6732603,10246894,255780827,36415550,257382261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5274454, s2 = 9671413, dlinesl.size( ) = 14 s1 = 7335190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166771, s2 = 14142516, int(edited[s2]) = 0 s1 = 14166771, s2 = 14142516, d1 = 30, d2 = 23 Dl.O(d1) = 5675921,3530198,3530202,5675938,254815759,5036385,3049358,3049359,5036387,7921870,11852708,13145671,8959503,5848042,5848041,8959500,13145667,254941246,19300166,13799485,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,12850876,18123371,24482081,19506027,13961684,12750244,256056649,26997467,254975914,9915202,6516060,4082832,2442912,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11004300,9125191,5971235,3734188,3734189,5971238,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896149,4024658,2411826,2411827,4024663,6415091,9756446,14192561,15384382,21363269,19813990,15354890,10607867,6999195,4398653,2635736,1521999,862912,486999,273857,273858,487006,862929,1522037,2635812,4398795,6999415,10608112,15355106,14442469,12788653,8694116,5658612,5658611,6998930,5756160,3584452,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,4427185,4427184,4024614,2411803,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300022,5367751,7282533,7282532,11001318,15872352,17467612,12314953,12314952,10904965,7212175,4544061,4544060,254749455,10904964,15745461,21806559,21806558 Dl.O(d2) = 265551257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166771, s2 = 14142516, dlinesl.size( ) = 2 s1 = 14166771, s2 = 14142516, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166771, Dl.E( ) = 32, 9.06e-06 seconds used appending s1 = 16231659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359484, s2 = 9048506, int(edited[s2]) = 0 s1 = 10359484, s2 = 9048506, d1 = 84, d2 = 90 Dl.O(d1) = 196862789,189118321,180175796,170009062,170009061,180175800,262894832,146281917,133054306,260825736,259612844,63862023,63862022,76973652,90852247,259964737,71842870,59103985,59103984,71842868,85428656,261691499,165071939,175801716,263523973,200717523,206716133,264746113 Dl.O(d2) = 273367236,265161289,265835905,231105084,232404268,233579164,274531206,274356843,186717826,273210964,142518454,261388398,73514975,73514974,87133715,101131890,115209726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359484, s2 = 9048506, dlinesl.size( ) = 82 s1 = 8836119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8860218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7285615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7285615, s2 = 7719932, int(edited[s2]) = 0 s1 = 7285615, s2 = 7719932, d1 = 46, d2 = 52 Dl.O(d1) = 264981345 Dl.O(d2) = 273642259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7285615, s2 = 7719932, dlinesl.size( ) = 42 s1 = 5432723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13812829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10281143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358611, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7709654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10333326, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7732951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7171291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7171291, s2 = 6537997, int(edited[s2]) = 0 s1 = 7171291, s2 = 6537997, d1 = 161, d2 = 172 Dl.O(d1) = 263538921,264987083,221990744 Dl.O(d2) = 43294358,255714440,26324094,26323552,19597042,19597044,26323555,33064846,33064847,42008893,37563662,29016988,21728742,15682093,15682092,19597482,14041980,12861423,8746535 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5360594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10344218, s2 = 14314105, int(edited[s2]) = 0 s1 = 10344218, s2 = 14314105, d1 = 82, d2 = 81 Dl.O(d1) = 50905207,40788467,40788468,44746189,44746188,258020908,40765416,40765417,40765364,40765363,47843232,47843231,44572951,268375988,27105551,35194831,44572953,256831468,35194806,35194791,27105524,255335961,14498487,20205273,27105526,32009668,32009669,40765371,32009536,24449446,24449444,28973515,28973516,32009717,32009558,24449456,18032376,12781917,12781916,18032375,24449455,32009553,37923318,29356942,28340036,28340035,36836872,34080727,26220263,26220264,32009606,32009605,30155566,22767255,16553391,254987956,30155558,38738091,48659373,44572908,38024110,255013806,22127448,258738339,258645416,269808174 Dl.O(d2) = 258446568,19278513,254665832,11319789,14490083,9969878,9969879,14490084,11009654,7288196,4596017,4596018,7288200,11009659,15882514,21828122,15760298,15760299,254780017,4751929,254534161,11320550,12158305,11319706,7516266,4751498,2863671,1662098,945691,533349,533350,945695,1662106,2863685,4751523,7288517,4751471,4751472,7516229,7517372,7517369,7518642,254780181,5178466,7518908,4753391,2864792,2733953,2733952,4548028,4752178,7297173,7519657,7519652,7518978,7517484,5178633,4548167,2734040,1662644,945995,945993,1662635,1662996,946181,946178,1662986,2864936,1662813,1662815,2734017,2734014,1663168,946276,946275,946264,946265,946147,533562,299249,165804,165802,299241,533547,946118,1662875,2865045,4752253,4753505,2864863,2864862,4752133,4752134,7517228,11320908,11322060,7518339,7518295,4752920,2864477,1662545,1662547,1662699,946021,946019,945965,533476,533475,945964,1662583,2864548,4753023,7518431,8082587,267990591,15456887,11322826,11322827,15759925,254749975,7218145,7519489,254780287,11322119,11320881,11320882,12022018,16280901,11323092,11323093,12022340,11010040,7288493,4596183,2764982,2764981,2864292,4752603,7288470,4596170,2764975,2764976,4596174,5178574,5178573,8082508,12022192,17107875,255424314,12021847,17107652,23377409,30805505,255901188,21827748,18227561,18227562,17886198,13612245,13612246,19067174,25691574,24612853,18164047,18163947,12881719,12881718,18163940,18164019,16283061,11741050,11741052,8761324,8761323,12881674,18163876,24612641,26145521,26145522,33985425,30353151,22951398,22951401,257170920,58685840,47295048,37385832,28917253,21642691,21642690,26699587,26699586,256729701,43969476,54713292,258009416,269765238,127302797,261060210 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8806609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5434483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5361475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5361475, s2 = 15304731, int(edited[s2]) = 0 s1 = 5361475, s2 = 15304731, d1 = 2, d2 = 0 Dl.O(d1) = 222016552 Dl.O(d2) = 219409001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5361475, s2 = 15304731, dlinesl.size( ) = 2 s1 = 5361475, s2 = 15304731, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5361475, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 7377234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7377234, s2 = 10358010, int(edited[s2]) = 0 s1 = 7377234, s2 = 10358010, d1 = 10, d2 = 12 Dl.O(d1) = 266015760 Dl.O(d2) = 264760568,263901625,263606824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7377234, s2 = 10358010, dlinesl.size( ) = 14 s1 = 7349881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7761697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7761697, s2 = 14165993, int(edited[s2]) = 0 s1 = 7761697, s2 = 14165993, d1 = 24, d2 = 1 Dl.O(d1) = 274558592,224463490,222051192,219242055,219242056,222051194,274276494 Dl.O(d2) = 2318581,1460281,1460278,2341382,2368431,2368433,3954964,6310267,9607278,268469216,258471125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7761697, s2 = 14165993, dlinesl.size( ) = 2 s1 = 7761697, s2 = 14165993, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7761697, Dl.E( ) = 28, 2.91e-05 seconds used appending s1 = 5362638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166042, s2 = 11504325, int(edited[s2]) = 0 s1 = 14166042, s2 = 11504325, d1 = 6, d2 = 6 Dl.O(d1) = 113884801,99865829,85910203,72316782,59582144,48195744,48195745,59582146,59800679,59800680,72316784,85910204,99865831,113884802,127760264,141117569,261195090,176249621,185703755,193949449,201014588,206971916,211893074,211893102,215914474,219242137,222051267,222051271,219242140,219242141,222051273,222051282,224463534,264998748,264513532,211893069,211893070,215914472,219242130,222051258,222051284,222051285,224463536,265396968,224463531,222051276,222051247,219242116,219242115,222051245,222051289,219242171,219242170,219242163,215914510,211893130,206971940,206971941,211893132,206971947,263168248,185703765,185703764,193949441,262256382,176249614,185703748,193949439,263559860,211893086,264513538,219242133,219242137,222051267,222051271,219242140,219242141,222051273,222051282,224463534,264998748,222051237,222051238,219242118,219242117,222051249,224463527,222051291,264998746,219242116,219242115,222051245,222051289,219242171,219242170,219242163,215914510,211893130,206971940,206971941,211893132,206971947,263168248,185703765,185703764,193949441,262256382,176249614,185703748,193949440,201014574,206971899,211893090,211893114,215914456,211893084,206971897,263913370,201014566,193949435,185703745,176249612,165572377,153790768,141117567,141117569,261195090,176249621,185703755,193949450,201014590,206971919,211893110,206971913,201014586,201014584,206971910,211893106,215914493,219242146,222051265,219242136,219242132,222051262,222051271,219242140,219242141,222051273,219242148,219242107,264229652,211893144,215914520,219242139,215914479,211893081,206971895,263913372,206971916,211893074,211893102,211893076,206971885,206971884,206971893,201014568,193949436,185703745,176249612,165572377,165572376,176249609 Dl.O(d2) = 113884801,99865829,85910203,72316782,59582144,48195744,48195745,59582146,59800679,59800680,72316784,85910204,99865831,113884802,127760264,141117569,261195090,176249621,185703755,193949449,201014588,206971916,211893074,211893102,215914474,219242137,222051267,222051271,219242140,219242141,222051273,222051282,224463534,264998748,264513532,211893069,211893070,215914472,219242130,222051258,222051284,222051285,224463536,265396968,224463531,222051276,222051247,219242116,219242115,222051245,222051289,219242171,219242170,219242163,215914510,211893130,206971940,206971941,211893132,206971947,263168248,185703765,185703764,193949441,262256382,176249614,185703748,193949439,263559860,211893086,264513538,219242133,219242137,222051267,222051271,219242140,219242141,222051273,222051282,224463534,264998748,222051237,222051238,219242118,219242117,222051249,224463527,222051291,264998746,219242116,219242115,222051245,222051289,219242171,219242170,219242163,215914510,211893130,206971940,206971941,211893132,206971947,263168248,185703765,185703764,193949441,262256382,176249614,185703748,193949440,201014574,206971899,211893090,211893114,215914456,211893084,206971897,263913370,201014566,193949435,185703745,176249612,165572377,153790768,141117567,141117569,261195090,176249621,185703755,193949450,201014590,206971919,211893110,206971913,201014586,201014584,206971910,211893106,215914493,219242146,222051265,219242136,219242132,222051262,222051271,219242140,219242141,222051273,219242148,219242107,264229652,211893144,215914520,219242139,215914479,211893081,206971895,263913372,206971916,211893074,211893102,211893076,206971885,206971884,206971893,201014568,193949436,185703745,176249612,165572377,165572376,176249609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166042, s2 = 11504325, dlinesl.size( ) = 2 s1 = 14166042, s2 = 11504325, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166042, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 5436097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8807135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8704009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5364099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358307, s2 = 7375861, int(edited[s2]) = 0 s1 = 10358307, s2 = 7375861, d1 = 265, d2 = 283 Dl.O(d1) = 263277897,263557822 Dl.O(d2) = 266000861,231240189,229800518,228178584,265545582,221761311 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5364502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7267906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7267906, s2 = 11298198, int(edited[s2]) = 0 s1 = 7267906, s2 = 11298198, d1 = 10, d2 = 10 Dl.O(d1) = 264768388,222110303,265003386,207182924,201260476,263567264,141520519,261008190 Dl.O(d2) = 264768388,222110303,265003386,207182924,201260476,263567264,141520519,261008190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7267906, s2 = 11298198, dlinesl.size( ) = 2 s1 = 7267906, s2 = 11298198, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7267906, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 5438973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355496, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5366839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7287889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7744531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7744531, s2 = 9564343, int(edited[s2]) = 0 s1 = 7744531, s2 = 9564343, d1 = 7, d2 = 1 Dl.O(d1) = 161844881,149540105,136274489,122297743,107881608,93452407,93452406,107881607,261522583,161844879,173010261,182908198,191552260,198981551,205263032,210461481,214708707,218202844,218202841,274250467,222177588,219386848 Dl.O(d2) = 212097532,207217663,201300648,194270095,186062266,176645715,166004294,154251053,141594437,128243264,114365582,100340794,86383359,86383357,86383358,100340791,114365581,106119335,91926871,78005161,64811451,52890167,42483590,33487733,25712906,19085048,13625966,9330419,9330415,8968244,8968240,13157548,18518500,19085088,13625912,9330388,6111718,3824040,2291022,1329213,758901,758902,268780760,254659311,3824049,2291027,2291029,3824010,6111680,9330324,13625821,19084931,13626001,13626003,19085234,25713157,33487470,25712706,19084975,19084974,25712813,33487630,42483455,255682322,52889603,42483019,42483021,52889611,64810908,52889696,42483090,33487529,25712762,25712761,33487550,42483296,42483292,52889900,64811203,73003521,73003510,73003512,73003549,60268573,48876241,48876243,60268578,73003562,60640685,60640684,58094844,58094846,60640693,73386765,73003526,73003525,86601031,91926686,91926685,106119137,91927653,91927652,91926454,91926455,98281294,98281295,91926613,91926614,91926537,78004803,64811057,64811056,78004798,91926532,91927663,78005815,78005816,91927667,100467324,91926674,78004981,78004820,64811072,52889777,52889776,64811067,78004815,78004997,86601092,73003581,60268588,48876248,48876246,60268586,73003554,86601065,84371601,84371600,98281324,259331848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7744531, s2 = 9564343, dlinesl.size( ) = 2 s1 = 7744531, s2 = 9564343, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7744531, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7337443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7773260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7773260, s2 = 11292254, int(edited[s2]) = 0 s1 = 7773260, s2 = 11292254, d1 = 30, d2 = 18 Dl.O(d1) = 274737254,266280962 Dl.O(d2) = 256933939,29573628,255457537,11177641,7416194,7416193,8928713,13101302,18443480,22900530,16669965,13101269,13101268,18443444,24961650,29573608,22226619,22226618,22226614,22226613,29573595,23667216,23667215,17349138,17349137,23667228,31154981,256386060,31123246,24961666,18443452,13101274,13101273,18443449,21377434,21377435,15881657,11668166,11668165,16708920,22945040,25479787,18877848,13452737,13452736,15395680,10640415,10640413,10640387,10640388,15395638,18877928,13452802,9199951,9199950,13452796,9200013,6023441,6023440,9200008,13452895,18878080,25480121,33228687,37873124,29303845,21976333,15881674,11009145,11009144,15881669,21377361,25480045,18878014,18878013,18878125,18878124,25480181,30299177,25479814,25479813,23667288,17349183,17349182,23667283,25479859,18877891,13452773,9199938,6023411,6023410,9199932,13452760,15395673,21377408,28613044,25479714,18877794,13452707,9199907,6023400,6023402,9199913,13452719,9200001,9200003,13452884,18878064,25480105,25480148,28727363,23197706,16929200,11848548,11848549,16929204,23197716,30618956,33228438,33228439,33228383,30619277,23197930,23197929,30619272,33228233,33228232,25479802,25479803,25479770,25479771,33228333,39216011,39216738,30619590,30619588,39216733,33228713,33228708,28613011,28613010,23198158,23198159,30619627,31155028,25480128,25479701,25479700,25479727,25479687,25479686,33228237,39216358,30619323,23197964,16929341,16929342,23197970,30619336,30619566,39216710,49031425,60435484,49031424,39216392,39216393,39118646,30619310,23197958,16929338,11848615,7919195,5034835,5034836,7919202,11848626,16929357,23197850,16929273,11848585,7919177,7919176,7919182,11848593,16929288,16929315,16929317,23197886,16929298,16929297,23197882,30619203,30619665,30619066,23197788,23197787,30618988,23197735,23197733,30618983,30676509,39216746,39216747,49142760,49142758,39216397,30619351,30619352,30619446,23198037,23198038,30619448,39216515,39216383,30619346,256469707,49142999,60542739,73286233,86896540,100875824,268753158,74824576,73286468,60543057,60543055,73286465,60543105,49143492,49143493,49048066,49048067,52679141,63865705,52046252,52046253,63865708,76977049,64182400,52332249,41993001,33049634,33049636,41993007,52332255,64182401,70981119,59818856,48432832,38524917,38524914,48432828,256737044,49143211,60542898,73286360,86896586,74700396,61906766,50416249,50416248,61906763,74700393,258150074,64535166,52636499,52636502,64535168,59484007,48094679,38183017,38183016,38183089,38183090,47255563,58647741,60515149,49112364,39182958,39182957,47074002,47074003,58451051,58450846,58450844,71173075,59483994,48094668,38183011,38183012,47617628,47617631,59021505,52547582,52547581,47073601,47073603,47073638,37179975,37179974,47073654,37179873,28660425,21415746,21415732,21415731,28660397,28660494,28660493,37179993,47073838,38183019,29615925,22264839,16123951,16123952,22264841,29615929,38183043,48094712,59484037,258150072,59484099,48094789,38183101,38183102,48094792,58450817,58450874,52888618,257811913,47073983,37180128,28660590,28660591,37180132,37180085,37180084,28660565,28660564,37180093,38022238,257231854,64256082,64256083,65125933,53140783,42689912,33659399,25853828,19197445,13710543,13710542,19197443,25853827,33659397,42689909,53140778,46906711,37029436,37029435,38183177,29616023,29616021,33493705,28531285,28531286,37029461,257228256,257228258,32611513,29574669,22227452,22227451,29574667,256270274,12716318,12716320,17945729,21864160,21864159,29174252,37734891,41731474,32810976,25108484,25108485,32810978,29574658,22227446,22227444,22452824,16283577,11324708,11324709,16283583,22282873,22282872,29635301,24946691,24946692,24946824,19803382,14185069,14185070,19803388,24312224,24312222,22227464,19803403,14185078,9751401,9751402,13971118,18431977,13092354,8921885,5822309,5822310,8921874,13092337,257045415,23565432,17254103,17254104,17485856,23822244,29518101,29518100,31049992,28302983,28302984,35367415,35367416,28143364,28143365,29517572,29517573,33383107,258421209,77862290,77862289,91784936,99845930,85891224,257472948,53205349,42755921,33726439,33726438,42755922,258444989,92514146,106825730,270860525,59454653,55312926,55312925,61657037,50284673,50284672,257820034,24890383,24890384,32535510,41386069,51612167,258172856,30197312,30759460,23336733,17070454,17070455,255448552,7368195,4654742,2804189,1626779,1626778,2804188,4654738,7368181,11109478,11109442,11109441,16002173,11957387,11957388,17044744,23305710,254545888,30759458,260077413,270069148,257265062,34204929,34204930,255304690,28377265,21159957,21159958,24472734,24472735,24890559,255216430,17113425,17113424,23384312,28721306,28721305,24890463,24890462,254886814,12026090,12026089,8085361,8085360,12026386 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7337677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7337677, s2 = 11060108, int(edited[s2]) = 0 s1 = 7337677, s2 = 11060108, d1 = 85, d2 = 86 Dl.O(d1) = 265577602,216130886,265009355,265217016,265009356,219429324,222216376,265733493 Dl.O(d2) = 194769669,197262404,189572237,261190548,133566120,271528407,77312584,269495183,41972850,52313171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7337677, s2 = 11060108, dlinesl.size( ) = 30 s1 = 10360871, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8793788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5442487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5442487, s2 = 9135823, int(edited[s2]) = 0 s1 = 5442487, s2 = 9135823, d1 = 19, d2 = 37 Dl.O(d1) = 224630223 Dl.O(d2) = 28817425,21548378,21548379,28817428,268143984,15530332,10740944,7096606,7096607,10740946,15530336,21548404,28817466,37357052,37356984,28817416,28817415,37356982,47266892,58658608,71393582,71393583,58658630,58658599,47266882,47266883,58658601,71393521,62854050,51204840,51204837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5442487, s2 = 9135823, dlinesl.size( ) = 2 s1 = 5442487, s2 = 9135823, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5442487, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 7338001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7338001, s2 = 8694680, int(edited[s2]) = 0 s1 = 7338001, s2 = 8694680, d1 = 93, d2 = 120 Dl.O(d1) = 265581026 Dl.O(d2) = 264687300,273373241,115073879,101002613 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5443091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7772773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5371184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5371531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10272628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10272628, s2 = 5372347, int(edited[s2]) = 0 s1 = 10272628, s2 = 5372347, d1 = 8, d2 = 26 Dl.O(d1) = 264791553,212306519,216265372,219547076,219547080,264960402,212306521,212306520,265225997 Dl.O(d2) = 219547106,222319428,265585351,224699458,274402512,219547063,219547064,222319392,224699421,265791154,222319453,274416871,222319406,222319405,219547099,265225999,216265413,212306546,212306545,216265411,265226001,216265405,274203027,219547101,219547100,219547104,219547088,216265377,216265378,219547090,274354528,219547102,220617685,264538454,213887668,216265425,219547132,219547118,216265417,212306550,207461284,201584992,201584991,207461282,212306548,216265414,219547114,274284247,265226003,222319420,219547137,219547135,274203025,201584992,201584991,207461282,212306548,216265415,219547117,219547094,219547093,222319409,222319457,219547149,219547151,222319404,222319458,222319460,274284245,216265404,265019589,222319432 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7202587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7319290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7323633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5116907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5116907, s2 = 4987631, int(edited[s2]) = 0 s1 = 5116907, s2 = 4987631, d1 = 116, d2 = 45 Dl.O(d1) = 212447905,265027289,222414631 Dl.O(d2) = 206702766,200703165,193591817,263272896 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7289897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7289897, s2 = 14771100, int(edited[s2]) = 0 s1 = 7289897, s2 = 14771100, d1 = 11, d2 = 4 Dl.O(d1) = 265027539 Dl.O(d2) = 226840581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7289897, s2 = 14771100, dlinesl.size( ) = 14 s1 = 7289911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7289911, s2 = 14166131, int(edited[s2]) = 0 s1 = 7289911, s2 = 14166131, d1 = 14, d2 = 18 Dl.O(d1) = 265027697 Dl.O(d2) = 59198410,71937872,85525851,85356304,256215198,47618337,47618336,59022033,71495429,58765590,47378345,37471266,28929912,21652674,21652673,28929911,37471264,28942240,28942239,37484016,47391528,58778581,50485022,42499473,42499474,47377863,47377864,58765118,61571175,50091241,40070020,31387504,255331542,31194262,39875598,49897162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7289911, s2 = 14166131, dlinesl.size( ) = 2 s1 = 7289911, s2 = 14166131, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7289911, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 10267718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9577818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7322805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8770759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13756977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7399085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7315949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7271529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7271529, s2 = 7118318, int(edited[s2]) = 0 s1 = 7271529, s2 = 7118318, d1 = 32, d2 = 23 Dl.O(d1) = 264810107,219769688,274617118,219769692,219769691,265428079,222512417,265597725 Dl.O(d2) = 262804941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7271529, s2 = 7118318, dlinesl.size( ) = 34 s1 = 5378555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8818898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8818898, s2 = 562470, int(edited[s2]) = 0 s1 = 8818898, s2 = 562470, d1 = 27, d2 = 58 Dl.O(d1) = 228708258,226927526 Dl.O(d2) = 48009414,38097903,29533848,22190795,16062977,16062978,22190798,18232194,12932161,8797600,8797601,12932166,18232202,20116792,14426717,14426718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8818898, s2 = 562470, dlinesl.size( ) = 30 s1 = 5379174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7324815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7324815, s2 = 8565142, int(edited[s2]) = 0 s1 = 7324815, s2 = 8565142, d1 = 84, d2 = 145 Dl.O(d1) = 265431905 Dl.O(d2) = 263024970,162472062,150337547,260987609,258525977,260467814,4069924,6495171,9885444 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8794033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7241247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5452787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5452834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5380897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5380978, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9609188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9609188, s2 = 9554114, int(edited[s2]) = 0 s1 = 9609188, s2 = 9554114, d1 = 60, d2 = 59 Dl.O(d1) = 270388565,31444912,260725859,261840829,263246877,177923216,263979337,202147998,264819075,216625597,219862846,222594529,224940699,274477585,266028151,231708607,232958272,234089448,266443852,232871387,231616044,230217356,228642387,265592644,265235066,216410424,264802580,207658495,263958518 Dl.O(d2) = 155248563,261264312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7331825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14135495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135495, s2 = 2268234, int(edited[s2]) = 0 s1 = 14135495, s2 = 2268234, d1 = 28, d2 = 38 Dl.O(d1) = 216631083,219867121,222598104 Dl.O(d2) = 39423093,49352745,60755739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135495, s2 = 2268234, dlinesl.size( ) = 2 s1 = 14135495, s2 = 2268234, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14135495, Dl.E( ) = 60, 2.1e-05 seconds used appending s1 = 13906643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13906643, s2 = 14963742, int(edited[s2]) = 0 s1 = 13906643, s2 = 14963742, d1 = 25, d2 = 27 Dl.O(d1) = 241972857,241571422,241137972,240669852,240164639,240164640,240669850,240164647,239618790,239029028,238388290,237685492,237685491,238388286,238388285,239029020,239618783,240164638,240164645,239618789,239029026,239029027,239029025,238388288,237685489,236911583,236911584,236911586,236061264,235126296,234097601,232967102,231718085,265899972 Dl.O(d2) = 103393717,89304183,75548261,257709349,40852984,32080995,32080994,40852982,258320943,258320945,257871754,56601545,257871752,95375995,259750166,261004309,109643442,109611519,95361267,259800601,260966822,259222335,95361143,81306440,81306441,69945845,57297623,57297624,62763908,51130486,40986244,40986245,51130489,62763918,57195637,45945030,45358452,35776437,27625417,27355052,20399460,20399461,14701573,10110399,6649840,6649837,6612070,6612068,4182535,2500981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13906643, s2 = 14963742, dlinesl.size( ) = 2 s1 = 13906643, s2 = 14963742, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 13906643, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 8811507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5383254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7340649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7340649, s2 = 7230749, int(edited[s2]) = 0 s1 = 7340649, s2 = 7230749, d1 = 23, d2 = 16 Dl.O(d1) = 265609905 Dl.O(d2) = 264300238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7340649, s2 = 7230749, dlinesl.size( ) = 20 s1 = 5455593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5413350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9580508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9580508, s2 = 14251522, int(edited[s2]) = 0 s1 = 9580508, s2 = 14251522, d1 = 17, d2 = 3 Dl.O(d1) = 102159696,116221104,261310283,261852545,130131815,130131816,143462663,156001465,167610656,178073358,187310049,195349653,202224313,202224312,195349652,263338578,167610653,156001464,146854220,133596682,133596681,146854219,262463055,170565206,263338581,197282592,203841150,264624125,217491553,220565064,219971363,216749298,265180394,202340174,208106786,212861307,216749299,219971364,222690375,225024995,265372370,225438752,265471859,220565061,217491546,264624123,209316041,213806794,217491548,213806795,209316042,203841147,203841146,197282585,189594099,273230773,170565207,263338583 Dl.O(d2) = 187162208,187162209,195232517,202130773,207928559,212706804,216612713,265248061,224928244,226966324,228743557,266027385,232951247,234083296,235113962,236050588,236104800,235174200,234151996,233028464,231785761,230402464,228845759,227078421,225053910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9580508, s2 = 14251522, dlinesl.size( ) = 2 s1 = 9580508, s2 = 14251522, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9580508, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 8806528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7177091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7177091, s2 = 11501364, int(edited[s2]) = 0 s1 = 7177091, s2 = 11501364, d1 = 29, d2 = 31 Dl.O(d1) = 263608530 Dl.O(d2) = 265151878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7177091, s2 = 11501364, dlinesl.size( ) = 26 s1 = 5384572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5384572, s2 = 7677399, int(edited[s2]) = 0 s1 = 5384572, s2 = 7677399, d1 = 6, d2 = 21 Dl.O(d1) = 222697912 Dl.O(d2) = 272208877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5384572, s2 = 7677399, dlinesl.size( ) = 24 s1 = 9588118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5457703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5457703, s2 = 7181117, int(edited[s2]) = 0 s1 = 5457703, s2 = 7181117, d1 = 59, d2 = 71 Dl.O(d1) = 225062114 Dl.O(d2) = 263656903 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5457774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5457774, s2 = 7156451, int(edited[s2]) = 0 s1 = 5457774, s2 = 7156451, d1 = 60, d2 = 86 Dl.O(d1) = 225067666 Dl.O(d2) = 263337662 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10169943, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13844147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166411, s2 = 5458449, int(edited[s2]) = 0 s1 = 14166411, s2 = 5458449, d1 = 0, d2 = 3 Dl.O(d1) = 220067601 Dl.O(d2) = 225092847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166411, s2 = 5458449, dlinesl.size( ) = 2 s1 = 14166411, s2 = 5458449, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 14166411, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10149253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7293072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9618747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7293191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13874357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5461040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5390647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8852235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8852235, s2 = 11501362, int(edited[s2]) = 0 s1 = 8852235, s2 = 11501362, d1 = 7, d2 = 7 Dl.O(d1) = 216317587,219592266,222358748,224733716,226796134,227234800,225240800,222947771,220287072,220287071,217148200,213375594 Dl.O(d2) = 216317587,219592266,222358748,224733716,226796134,227234800,225240800,222947771,220287072,220287071,217148200,213375594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8852235, s2 = 11501362, dlinesl.size( ) = 2 s1 = 8852235, s2 = 11501362, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 8852235, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5462297, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7368202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7368202, s2 = 10356732, int(edited[s2]) = 0 s1 = 7368202, s2 = 10356732, d1 = 11, d2 = 11 Dl.O(d1) = 265918536,222965521,265277406,220306562,220306564,217169744,264607842,196526481,188729595,263312464,262432366,158106955,153322831 Dl.O(d2) = 265918536,222965521,265277406,220306562,220306564,217169744,264607842,196526481,188729595,263312464,262432366,158106955,153322831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7368202, s2 = 10356732, dlinesl.size( ) = 2 s1 = 7368202, s2 = 10356732, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7368202, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7724828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7724828, s2 = 6647551, int(edited[s2]) = 0 s1 = 7724828, s2 = 6647551, d1 = 41, d2 = 30 Dl.O(d1) = 273775689 Dl.O(d2) = 256921880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7724828, s2 = 6647551, dlinesl.size( ) = 38 s1 = 5463003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8797021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8797021, s2 = 7269201, int(edited[s2]) = 0 s1 = 8797021, s2 = 7269201, d1 = 40, d2 = 6 Dl.O(d1) = 146106796,273435879,265079931,265463909 Dl.O(d2) = 264782528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8797021, s2 = 7269201, dlinesl.size( ) = 28 s1 = 7124844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7124844, s2 = 6037312, int(edited[s2]) = 0 s1 = 7124844, s2 = 6037312, d1 = 14, d2 = 11 Dl.O(d1) = 262909085,265081441 Dl.O(d2) = 240249611,267204145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7124844, s2 = 6037312, dlinesl.size( ) = 14 s1 = 7294407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7294407, s2 = 8904735, int(edited[s2]) = 0 s1 = 7294407, s2 = 8904735, d1 = 27, d2 = 33 Dl.O(d1) = 265082857 Dl.O(d2) = 266167569,234278516,266466061,237035645,266822715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7294407, s2 = 8904735, dlinesl.size( ) = 42 s1 = 7342743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8851798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5395387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7294944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7294944, s2 = 10268367, int(edited[s2]) = 0 s1 = 7294944, s2 = 10268367, d1 = 7, d2 = 7 Dl.O(d1) = 265088939,223172835,225432552,227396905,229114925,230632504,265926104,265636616,223172830,220558237,217483945,265289149,220558235,217483942,213798190,213798191,217483943,220558236,223172829,220558239,217483947,217483946,265289147,223172823,265636615,229114904,230632486,231984794,230632502,229114924,229114925,230632505,231984815,231984797,230632488,229114908,227396891,225432545,225432546,227396894,229114910,230632489,231984799,274614118,231984811,233202973,233202970,266277695,266170462,231984810,233202984,234305385,235308693,236223467,274783942,237819704,237057741,236223458,266551813,266627886,266627885,236223461,274736638,266468205,235308683,266277698,265926102,229114906,230632487,266053016,230632494,231984807,266170460,231984800 Dl.O(d2) = 265088939,223172835,225432552,227396905,229114925,230632504,265926104,265636616,223172830,220558237,217483945,265289149,220558235,217483942,213798190,213798191,217483943,220558236,223172829,220558239,217483947,217483946,265289147,223172823,265636615,229114904,230632486,231984794,230632502,229114924,229114925,230632505,231984815,231984797,230632488,229114908,227396891,225432545,225432546,227396894,229114910,230632489,231984799,274614118,231984811,233202973,233202970,266277695,266170462,231984810,233202984,234305385,235308693,236223467,274783942,237819704,237057741,236223458,266551813,266627886,266627885,236223461,274736638,266468205,235308683,266277698,265926102,229114906,230632487,266053016,230632494,231984807,266170460,231984800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7294944, s2 = 10268367, dlinesl.size( ) = 2 s1 = 7294944, s2 = 10268367, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 7294944, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10268366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5395443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5395443, s2 = 16268875, int(edited[s2]) = 0 s1 = 5395443, s2 = 16268875, d1 = 99, d2 = 93 Dl.O(d1) = 223174046,225351664,223075805,220437625,217331535,213601604,209047068,203497505,196870174,189125907,273622867,274234014,170017593,262911419,158659132,146290771 Dl.O(d2) = 5871504,254295255,1274575,728963,254145565 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5466515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13833955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8843345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8843345, s2 = 7058721, int(edited[s2]) = 0 s1 = 8843345, s2 = 7058721, d1 = 68, d2 = 111 Dl.O(d1) = 265640507,266056153,229149207,227434977 Dl.O(d2) = 99892548,85937331,72343403,59609095,48222282,38312359,29743684,22384465,16226521,11280084,9676637,9676638,14070687,19633899,15285641,10551165,9613103,6314233,6314234,9613108,6970296,4378945,4378943,6970291,5195850,5195849,8109974,11270175,9256285,6062197,6062198,4364186,2615248,2615247,4364182,6944577,10529945,10529946,10529981,15261101,10529331,6944189,6944188,9259860,6064820,6064817,6064837,6064839,6974173,10573398,8114651,6062636,3793193,2272114,2272113,3793188,6062615,8114756,6561355,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,8112556,7069184,7069185,8103656,8103659,12053151,12387902,9260244,9260138,6065007,4376726,2621515,1513181,1513180,2621513,4376720,6966541,6948409,6948410,6966522,10551756,14450428,12381083,8366322,5399709,5399711,8108095,5194734,3169633,1855698,1059136,1059135,1855693,3169621,5193460,5199245,5199246,7069856,10701132,10701089,7069835,7069836,10701095,13508628,13508626,18945265,25558150,33320119,42300811,52687536,64588007,77770845,91698313,261982153,170867832,180987274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8843345, s2 = 7058721, dlinesl.size( ) = 90 s1 = 13831505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5237304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5397883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5398937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8794008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13859885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7343844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5399942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7296192, s2 = 6133435, int(edited[s2]) = 0 s1 = 7296192, s2 = 6133435, d1 = 26, d2 = 37 Dl.O(d1) = 265103233 Dl.O(d2) = 242353142,242353141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7296192, s2 = 6133435, dlinesl.size( ) = 18 s1 = 9270685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7296249, s2 = 7359604, int(edited[s2]) = 0 s1 = 7296249, s2 = 7359604, d1 = 23, d2 = 24 Dl.O(d1) = 265103841 Dl.O(d2) = 265824938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7296249, s2 = 7359604, dlinesl.size( ) = 14 s1 = 7735372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7735372, s2 = 11509721, int(edited[s2]) = 0 s1 = 7735372, s2 = 11509721, d1 = 16, d2 = 0 Dl.O(d1) = 274042012 Dl.O(d2) = 214094962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7735372, s2 = 11509721, dlinesl.size( ) = 18 s1 = 9715034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9715034, s2 = 13292523, int(edited[s2]) = 0 s1 = 9715034, s2 = 13292523, d1 = 46, d2 = 31 Dl.O(d1) = 70193634,57526518,46211152,46211153,57526520,70193636,83715360,271280075,114358888,114358883,100334399,100334394,86377196,86377195,100334392,114358882,114358885,260544206,86377194,86377193,100334389,86377204,72781287,60042680,48646386,48646385,60042678,72781284,86377197,100334397,114358884,114358887,114358886,126981932,113123240,113123241,126858355,140205618,259867668,261048696,175628521,185164791,262611238 Dl.O(d2) = 13818424,9476642,9476646,9679843,6366577,3994793,2394001,1385448,1385453,2393990,2394120,1385492,1385497,2394094,3994757,6350213,4003152,4003151,6380698,9701343,255308277,255697937,255571246,19636834,14073731,9679419,6366285,3994606,3994504,3994505,3886677,3886679,3924758,3924756,6268476,9404424,13728475,19219204,13853400,13853401,19367520,26046926,25956852,19292530,19241188,13747277,13747275,19241185,19292571,14913091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9715034, s2 = 13292523, dlinesl.size( ) = 2 s1 = 9715034, s2 = 13292523, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 9715034, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 13751115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13751115, s2 = 8815851, int(edited[s2]) = 0 s1 = 13751115, s2 = 8815851, d1 = 47, d2 = 34 Dl.O(d1) = 197846453,204314505,264059100,217772357,220806445,265476788,225623490,223389938,265294874,265095214,225623517,223389980,223389981,225623518,225623492,223389940,223389941,225623494 Dl.O(d2) = 220806442,264360156,263722058,204314527,209711123,214137650,209711109,263349170,197846463,264059106,217772391,214137652,214137651,264631126,214137657,214137646,209711107,204314516,204314515,264059104,264360152,263722052,197846452,190257150,181464742,171447729,160228812,160228815,171447735,181464752,190257165,197846482,204314517,197846462,190257155,190257154,197846459,263722050,209711080,264059094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13751115, s2 = 8815851, dlinesl.size( ) = 20 s1 = 5402917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5403077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5403077, s2 = 7256046, int(edited[s2]) = 0 s1 = 5403077, s2 = 7256046, d1 = 2, d2 = 4 Dl.O(d1) = 223411116 Dl.O(d2) = 264624912 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138547, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10266405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7297068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8816167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5475127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5475127, s2 = 14071650, int(edited[s2]) = 0 s1 = 5475127, s2 = 14071650, d1 = 11, d2 = 20 Dl.O(d1) = 225740966 Dl.O(d2) = 135712172,121771541,107386642,257843750,78863723,92975756,78863726,269555506,78863709,257843744,86529020,78863718,78863717,269555504,60191018,65527796,257250502,60191026,60191025,65527785,65527784,256691900,53502296,65527777,60191019,60191020,72930479,86529018,100487703,114511640,121771537,107386639,92975754,78863720,257843748,257843742,60191023,48794275,256691898,72930484,86529022,100487700,114511638,107386638,92975751,92975749,78863712,78863713,65527794,53502306,43022921,33965311,26127052,19432429,19432428,26127051,33965308,43022917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5475127, s2 = 14071650, dlinesl.size( ) = 2 s1 = 5475127, s2 = 14071650, "passes" = passes Sat Dec 09 04:19:07 2017: s1 = 5475127, Dl.E( ) = 22, 2.41e-05 seconds used appending s1 = 7297284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7297284, s2 = 5975935, int(edited[s2]) = 0 s1 = 7297284, s2 = 5975935, d1 = 73, d2 = 63 Dl.O(d1) = 218053410,265120601,223551906 Dl.O(d2) = 241457196,267053582,241457195,274865700,239456315,238852474 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9047277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9047277, s2 = 11359968, int(edited[s2]) = 0 s1 = 9047277, s2 = 11359968, d1 = 78, d2 = 58 Dl.O(d1) = 21956484,15864575,15864576,21956487,29281530,37849395,37849413,47772506,59171424,70779151,59171390,47772458,37849366,29281509,21956477,21956478,29281511,37849369,47772463,46688054,36803964,36803965,36803969,36803968,46688058,53528365,43048485,33989674,26148708,26148709,33298140,42279485,52666840,43048492,33989680,33989681,256483148,65553248,258216742,107406954,121790058 Dl.O(d2) = 264879020,197479771,273561802,147094651,133850732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9047277, s2 = 11359968, dlinesl.size( ) = 54 s1 = 7740412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7740412, s2 = 15909107, int(edited[s2]) = 0 s1 = 7740412, s2 = 15909107, d1 = 46, d2 = 59 Dl.O(d1) = 274161451 Dl.O(d2) = 46854799,36976251,28478768,21260435,15296821,10561366,10561368,12036163,12036164,12057323,12057321,10544804,10544805,15278754,11014019,11014020,15888312,21984191,23439354,18959146,13523053,9254512,9254513,13523055,13523027,9254488,6947121,4365535,4365532,6947110,8619480,8112340,5197287,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,3797889,3797891,6070061,9267226,13537755,10548109,254495617,254495615,8274020,10545875,15279818,21246209,28467670,32603482,24940449,18427316,268284743,32603480,41481788,40822116,32059335,24491663,18067052,254885889,3526878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7740412, s2 = 15909107, dlinesl.size( ) = 20 s1 = 5475803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7314810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9732680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9732680, s2 = 5476392, int(edited[s2]) = 0 s1 = 9732680, s2 = 5476392, d1 = 4, d2 = 7 Dl.O(d1) = 12678808,13496097,14065247,12629043,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,15754493,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,22362987,16209625,16209628,13607240,9317546,9317548,12626008,12625974,8571876,8571873,8571884,8571881,12625983,17831027,19208867,24157666,24185556,21820645,15754220,14965461,10297921,10297920,14965452,12592003,12591899,12591898,17790411,24157506,31666859,31666840,31666836,25079377,23743521,17418662,13594174,9308348,9308349,13594179,19043708,24185822,27030559,34627487,26637630,19825559,17642375,17642376,23988004,31485298,35117168,27030545,27030543,29376237,25663745,19043889,19043890,21820859,29127674,31487137,31487136,40172170,50195926,48265719,42865053,33823936,33823937,254310896,23983900,23983899,23983904,31480796,40165660,39901584,39901585,31670541,31670540,34627436,34627435,254956012,19621553,17637830,12462075,12462076,14020984,9638118,6335718,6335719 Dl.O(d2) = 26294705,34162540,43253051,53769278,65829757,79191879,93323010,107751260,107751261,107751259,107751258,122161924,136129558,136129559,149382979,161676220,172835956,182737034,191391322,198839019,205146223,210370281,214640269,263001180,223616380,225798638,225798636,225798635,227701279,274066506,232178197,233376225,234463237,235452687,236128699,235201028,234182469,233467018,233467017,234548704,235533569,236430427,237248861,237993964,238672143,239293866,266773380,240394389,240605467,240095554,239545059,238948813,238300130,266525286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9732680, s2 = 5476392, dlinesl.size( ) = 2 s1 = 9732680, s2 = 5476392, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9732680, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8845047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166124, s2 = 7965900, int(edited[s2]) = 0 s1 = 14166124, s2 = 7965900, d1 = 41, d2 = 46 Dl.O(d1) = 263060524 Dl.O(d2) = 267871678,17169995,23444893,30874575,39479295,46793194,36915438,28417667,21195529,255815851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166124, s2 = 7965900, dlinesl.size( ) = 2 s1 = 14166124, s2 = 7965900, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14166124, Dl.E( ) = 68, 2.1e-05 seconds used appending s1 = 10257989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5406416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5407049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5332281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13541831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13541831, s2 = 14324708, int(edited[s2]) = 0 s1 = 13541831, s2 = 14324708, d1 = 17, d2 = 4 Dl.O(d1) = 67645105,81111383,95169854,109426165,123620042,137352614,262577043,183354781,191918977,263800596,210676711,214889459,264923108,223764244,225927113,227813902,229408065,227744417,225848225,223674090,221164878,218234858,218234857,214747368,210509763,205323606,274069057,199059417,191654529 Dl.O(d2) = 262252469,262593957,170548950,159210888,159210887,146837897,146837895,261077058,119705614,105466140,91243452,77323244,72482033,72482025,59747510,48364463,38462846,29905570,255477397,11394615,7570824,7570825,11394618,16372998,22549409,29905588,38462870,48364491,59747536,72482026,72482027,72481994,59747486,59747485,59747526,72482035,86079486,100042162,114068615,114068669,114068670,114068621,114068622,114068613,114068612,127948519,114068668,100042206,86079485,86079484,100042204,114068667,127948603,141308169,153978860,165751617,153978826,141308165,127948601,127948600,141308163,153978852,163474142,163474143,153978850,141308160,141308161,143133990,129801849,129801847,115901829,115901828,101855981,87882923,74280616,61503799,50025731,40007177,31329110,23837755,17497961,17497959,23837752,31329105,40007169,50025715,269504755,42186491,42186492,40007167,40007166,50025710,61503804,74280623,87882937,101855994,101856019,115901857,129801878,141142330,127785389,127785388,120846589,106597517,92299196,78271989,64998451,53023338,42583131,33566029,33566028,42583129,53023335,64998448,78271985,268813354,85402113,71813321,59072096,47672064,37749939,29188650,29188651,37749942,47672069,59072105,61684630,50201415,40177696,37750124,37750122,35161983,27075099,26977270,22167928,16044876,16044877,22167930,29508476,32519392,41367709,254432792,59374240,255231326,38072272,35166546,35166547,44544245,44544257,55391566,55276938,44725805,35306144,35306143,39283561,42120480,33164212,33164211,42120474,35061304,35061305,35305719,31279752,23793865,17461875,17461876,23793869,31279766,39954479,35056623,26974105,26974104,35056620,44431212,256766744,40365173,40365149,31670426,31670425,24160796,17793322,17793321,24160728,24160729,22199401,16070328,16070327,16070329,22199402,29542676,38105932,48016186,59403293,72133730,74684654,88312254,84512319,258038119,46863287,36984741,28487947,21271933,21271932,28487945,36984738,46863282,36984780,36984779,269308990,58231327,46863290,36984743,28487949,28487948,36984682,28487909,21271903,15310926,15310925,21271901,28487907,21271920,255027313,6974917,4381702,4381701,6974915,10574380,15310935,21271916,28487924,36984708,36984715,36984716,46863262,58231308,70948624,70948612,70948613,84512293,98433758,101941399,115985743,112422078,112412204,112412203,112914254,112914255,112412202,98423342,84501643,84501644,84501652,98423353,112412220,112412224,98423357,91150240,77234386,64089960,52242498,41905236,32965924,255647787,268021369,5928184,5928187,7916166,7916168,11844568,16529009,22735302,29830221,22462856,22462855,29830219,33279260,42258936,41341604,32494125,24852211,18355911,13032519,13032520,18355915,15243961,10516388,10516387,15243956,21210780,28435189,28434601,21210377,15243698,15243697,15243858,10516330,6935223,4357913,2610957,2610956,4357908,6935217,10516319,15243839,21210607,28434962,36933461,28434680,28434679,21210561,21210563,28434887,36933662,46811635,36933254,36933253,46811632,58178981,46812264,36933947,28435167,28435168,36933949,256307516,32494124,24852210,255388282,28434636,21210819,15243985,15243986,21210822,256306515,28435269,21210840,15243994,268068155,10516298,10516299,15243797,21210533,28434847,36933632,28434954,21210601,21210602,28434957,28434967,28434645,21210366,21210368,15243991,15243992,21210836,28435173,21210769,15243951,15243952,21210773,28435177,36933955,46811757,39445499,36933399,36933397,46811777,58179093,58179116,48110943,48110942,52931604,46811980,36933624,36933625,46811982,256306513,28435237,32494122,28435246,21210824,21210823,28435243,34630591,26640422,19828187,19828186,16137184,16137183,22280881,29632963,38199738,38199697,38199696,34275022,26400087,19666145,19666146,26400093,34275031,26640396,19828171,19828092,14203831,9764300,6419946,4027630,2413531,2413532,4027636,6419959,9764323,8702529,8702530,12799787,18055015,24476512,32040688,26640083,26640084,34630091,43289603,34630052,34630053,43902582,42469020,33475486,33475484,42469016,43902585,43902586,43902625,54645807,54646067,54645838,48776401,43902853,43902854,40215604,31529632,31529631,40215600,50235981,60169800,65902198,53835157,43310515,43310516,53835158,65902200,54645881,48350311,38448041,38448042,48350317,38467336,29909788,29909789,38467340,40922056,32144734,24562065,18122845,12850434,12850437,18122847,16258304,11303592,7504658,4743750,2858904,2858905,3626003,5812844,8907612,13071874,18403379,24293967,17911806,17911805,24293965,29266588,21944563,268080161,10989856,15855827,21944565,256369583,37832587,47755070,59153673,59153671,59153672,71891160,85475401,99416128,102115279,88127477,74515326,74515327,88127480,102115277,116172827,130080423,261306991,116172831,116172826,116172825,130080419,130080418,130080426,130080427,143408690,155947462,153919239,261126480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13541831, s2 = 14324708, dlinesl.size( ) = 2 s1 = 13541831, s2 = 14324708, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13541831, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 8809378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9723282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5478575, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5478898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5478898, s2 = 7279749, int(edited[s2]) = 0 s1 = 5478898, s2 = 7279749, d1 = 10, d2 = 12 Dl.O(d1) = 225870296 Dl.O(d2) = 264916418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5478898, s2 = 7279749, dlinesl.size( ) = 14 s1 = 9276607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7298339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8817363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13565703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5410252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9610454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9610454, s2 = 8707551, int(edited[s2]) = 0 s1 = 9610454, s2 = 8707551, d1 = 20, d2 = 0 Dl.O(d1) = 266396200,266193132,265818840,227803675,265818838 Dl.O(d2) = 194727684,194727685,262574032,166468366,154762309,154762308,261043774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9610454, s2 = 8707551, dlinesl.size( ) = 22 s1 = 7280351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280351, s2 = 5544900, int(edited[s2]) = 0 s1 = 7280351, s2 = 5544900, d1 = 16, d2 = 12 Dl.O(d1) = 264922544,223759717 Dl.O(d2) = 227810019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280351, s2 = 5544900, dlinesl.size( ) = 8 s1 = 5481105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8858326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8817795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8817795, s2 = 6498449, int(edited[s2]) = 0 s1 = 8817795, s2 = 6498449, d1 = 77, d2 = 37 Dl.O(d1) = 221283104,223777297,265673073,227825723,229482157,230954127,266194735,234546685,234546686,266487447,236428658,237247503,266713881,239293060,239865205,240393529,239865206,239293061,239293060,266892253 Dl.O(d2) = 255249329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8817795, s2 = 6498449, dlinesl.size( ) = 8 s1 = 5411942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7758086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9580471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13774591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5413392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7731607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7731607, s2 = 7048477, int(edited[s2]) = 0 s1 = 7731607, s2 = 7048477, d1 = 43, d2 = 58 Dl.O(d1) = 273962577,265144675 Dl.O(d2) = 261823864,258844631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7731607, s2 = 7048477, dlinesl.size( ) = 42 s1 = 5483434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9549988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8846541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9610002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9610002, s2 = 11646402, int(edited[s2]) = 0 s1 = 9610002, s2 = 11646402, d1 = 32, d2 = 0 Dl.O(d1) = 209713273,264647347,264647345,265109443 Dl.O(d2) = 438381,438378,441990,779201,1366048,2359333,254459691,255299151,19506553,26220616,257015402,37853277,29285109,21959426,21959425,18926031,13492405,13492407,18926050,25537952,30272995,26666410,19850893,14221805,9777102,6428498,6428499,9777106,14221811,19850908,26666433,28306062,28306026,21096722,21096725,24809557,30790739,28306037,256296935,35192350,30657896,23236635,23236634,30657894,257017099,60579757,258828145,100914835,114968355,128870695,260526042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9610002, s2 = 11646402, dlinesl.size( ) = 2 s1 = 9610002, s2 = 11646402, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9610002, Dl.E( ) = 34, 1.81e-05 seconds used appending s1 = 7352318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7352318, s2 = 8792240, int(edited[s2]) = 0 s1 = 7352318, s2 = 8792240, d1 = 87, d2 = 161 Dl.O(d1) = 265740826 Dl.O(d2) = 232337814,231026539,229564622,229564621,229564620,265962567,266200395,266013828,229564624,227919681,226048379,223901423,221424159,264791400,210926761,205820551,205820550,264700523,218534051,221424151,221424154,221424152,218534058,215099010,210926767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7352318, s2 = 8792240, dlinesl.size( ) = 118 s1 = 7771924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8785086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8766021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166170, s2 = 5486198, int(edited[s2]) = 0 s1 = 14166170, s2 = 5486198, d1 = 7, d2 = 13 Dl.O(d1) = 256610487 Dl.O(d2) = 226092410,227958317,229597456,231054262,232361752,233544178,234619091,235598232,274744127,236490259,236490258,237304392,238044798,238718016,239335502,239904213,240429915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166170, s2 = 5486198, dlinesl.size( ) = 2 s1 = 14166170, s2 = 5486198, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14166170, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 8745480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5486921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5487442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5487442, s2 = 13923824, int(edited[s2]) = 0 s1 = 5487442, s2 = 13923824, d1 = 2, d2 = 26 Dl.O(d1) = 226125659 Dl.O(d2) = 240571979,240571981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5487442, s2 = 13923824, dlinesl.size( ) = 2 s1 = 5487442, s2 = 13923824, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5487442, Dl.E( ) = 36, 1.91e-05 seconds used appending s1 = 5488370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5488370, s2 = 10149252, int(edited[s2]) = 0 s1 = 5488370, s2 = 10149252, d1 = 14, d2 = 32 Dl.O(d1) = 226169550 Dl.O(d2) = 10628953,7015739,7015742,10628957,15380917,21358683,21358613,21358614,28589947,37096553,257437251,58349459,46980066,37096552,28589944,28589943,37096550,46980060,47109564,46980063,46980064,58349458,71065736,71065735,71065734,58349456,58349455,258671933,88064048,259517875,102049406,88064050,74451920,61668425,50183747,268683291,255574327,268258273,255184366,17746750,12557058,8513591,8513593,12557065,17746758,13804256,13804258,19306285,25973374,30741990,23321214,17056051,17056047,23321206,30741980,39341049,49266921,60667088,63707437,254601268,41599375,254407174,25014627,32697101,254601270,26931530,255187440,254861372,84537372,84905821,254861456,40173810,31488727,23991512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5488370, s2 = 10149252, dlinesl.size( ) = 2 s1 = 5488370, s2 = 10149252, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5488370, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 8871035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5488492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5488492, s2 = 4725048, int(edited[s2]) = 0 s1 = 5488492, s2 = 4725048, d1 = 17, d2 = 5 Dl.O(d1) = 226172967 Dl.O(d2) = 192745467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5488492, s2 = 4725048, dlinesl.size( ) = 2 s1 = 5488492, s2 = 4725048, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5488492, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 4970972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5488849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13882803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10213334, s2 = 11261176, int(edited[s2]) = 0 s1 = 10213334, s2 = 11261176, d1 = 69, d2 = 35 Dl.O(d1) = 271296941,259007126,260251074,261415454,192968140,192968141,200161222,206234892,211257498,215361266,218752301,218752294,263329654,271977662,192968142,200161223,262913594,263329656,224074149,263704160,262913590,215361261,218752303,221615387,274400653 Dl.O(d2) = 255107955,22693267,256429027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10213334, s2 = 11261176, dlinesl.size( ) = 30 s1 = 10227853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8819835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7348072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7279533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7348171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5422589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7348202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5422989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5422989, s2 = 5910099, int(edited[s2]) = 0 s1 = 5422989, s2 = 5910099, d1 = 24, d2 = 55 Dl.O(d1) = 224131237 Dl.O(d2) = 231109810,232408366,233582427,234650686,235625223,266577325,237324618 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10273321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8820149, s2 = 13825904, int(edited[s2]) = 0 s1 = 8820149, s2 = 13825904, d1 = 2, d2 = 20 Dl.O(d1) = 221680446,221680447 Dl.O(d2) = 215435800,211339618,211339612,206327506,206327505,264465447,215435796,211339614,211339613,264570682,200266104,193089177,193089176,200266101,264465445,264959401,218821066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5492633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5492633, s2 = 6694297, int(edited[s2]) = 0 s1 = 5492633, s2 = 6694297, d1 = 32, d2 = 39 Dl.O(d1) = 226275340 Dl.O(d2) = 257444444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5492633, s2 = 6694297, dlinesl.size( ) = 18 s1 = 5424413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13788777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13788777, s2 = 3943444, int(edited[s2]) = 0 s1 = 13788777, s2 = 3943444, d1 = 37, d2 = 34 Dl.O(d1) = 200322723,274267852,265541715,266502909,237388366,266951433,241411593,241827005,267119953,242895444,274942879,243760134,267297799,267342949,244840496,245015703,275010092,245616404,245743611,245862866,267505521,246180078,246275166,246327873,246236523,246139230,246037431,245928942,245813614,245691317,267445205,245272215,245114085,244945171,274986047,267311797,243903786,243646245 Dl.O(d2) = 114958190,128858509,142216694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13788777, s2 = 3943444, dlinesl.size( ) = 2 s1 = 13788777, s2 = 3943444, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13788777, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 5425254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7302196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7348663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7248430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7248430, s2 = 11533125, int(edited[s2]) = 0 s1 = 7248430, s2 = 11533125, d1 = 6, d2 = 14 Dl.O(d1) = 264528124 Dl.O(d2) = 274518519,231509610,230097944,228507480,274281944,224192402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14166178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9701242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5427482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13839977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13839977, s2 = 7129596, int(edited[s2]) = 0 s1 = 13839977, s2 = 7129596, d1 = 125, d2 = 63 Dl.O(d1) = 218964248,221809404,224249931,226365787,228208469,229826685,266106599,266138608,231264156,274630147,266138600,228208451,226365773,224249923,221809399,221809402,224249927,226365781,228208462,229826673,231264149,232553700,233718439,233290839,266285839,234777880,234777874,266248588,231264147,229826669,228208459,228208460,229826672,229826684,229826685,266106599,232553693,231264139,229826659,228208452,228208453,229826661,265983861,231264168,231264170,232553719,233718448,266418313,266443384,274603306,274521806,226365798,224249938,224249939,224249932,221809406,221809405,224249930,224249931,226365787,228208469,229826685,266106599,266138608,231264156,274630147,266138600,229826658,231264137,265888722 Dl.O(d2) = 262971365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13839977, s2 = 7129596, dlinesl.size( ) = 31 s1 = 5559375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5185478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5497124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6857309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6857309, s2 = 11145534, int(edited[s2]) = 0 s1 = 6857309, s2 = 11145534, d1 = 27, d2 = 23 Dl.O(d1) = 259332851,261679359,164785055,175534663,185068988,193393480,265183355 Dl.O(d2) = 13085637,8917151,5819211,3630052,3630050,5819208,8917145,13085627,18422672,24934534,32596467,24934586,24934587,255942504,19575785,19575784,26298571,257261947,50121941,40101278,40101277,37812760,29248073,29248072,37812759,32788974,25091067,25091066,29248068,21927786,21927785,29248066,29247992,29247993,37812681,37934117,257499889,61267731,61267715,49788643,39768769,39768768,49788641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6857309, s2 = 11145534, dlinesl.size( ) = 14 s1 = 7373359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7141226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5429087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10251921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8867820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8867820, s2 = 11660823, int(edited[s2]) = 0 s1 = 8867820, s2 = 11660823, d1 = 12, d2 = 7 Dl.O(d1) = 229884954,228273654,226438592,224331055 Dl.O(d2) = 99376919,85435585,85435584,71850052,71850051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8867820, s2 = 11660823, dlinesl.size( ) = 2 s1 = 8867820, s2 = 11660823, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8867820, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 8821600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8821600, s2 = 11282460, int(edited[s2]) = 0 s1 = 8821600, s2 = 11282460, d1 = 62, d2 = 1 Dl.O(d1) = 265856596 Dl.O(d2) = 84036252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8821600, s2 = 11282460, dlinesl.size( ) = 12 s1 = 14758125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14758125, s2 = 7761454, int(edited[s2]) = 0 s1 = 14758125, s2 = 7761454, d1 = 7, d2 = 9 Dl.O(d1) = 273986467 Dl.O(d2) = 274555719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14758125, s2 = 7761454, dlinesl.size( ) = 8 s1 = 7752645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7752645, s2 = 10347700, int(edited[s2]) = 0 s1 = 7752645, s2 = 10347700, d1 = 63, d2 = 85 Dl.O(d1) = 274403751,228167820,274553392,226448487 Dl.O(d2) = 113417232,113417234,99416002,85475263,71891034,59153535,47754931,38842147,30258606,22862927,16635895,16635894,22862924,30258602,24952275,18436170,13095393,8924058,5823745,255236657,24952255,18928181,18928182,18928046,13493709,9231751,6046052,6046050,9231719,9985799,6563239,5719935,5719934,8782431,11008407,15880499,11059074,11059073,15937369,22039827,29370740,254740178,21591125,15564791,10765661,7113071,7113070,4843286,4843285,6868105,6868104,255375977,28227043,256339242,4793401,2889476,2889478,2889614,2889613,4793587,7578553,7578591,7578191,7578194,11404104,11404540,11404541,16006448,22120133,22852681,21075694,15138801,10441142,6883178,6883181,10441151,12539298,12539297,17723600,24080773,21148510,17534495,17534497,21657545,15622171,10808972,7142352,5466380,3361374,1976197,1128110,1128113,1976209,3361398,5466437,8460279,12491122,17664266,15858747,15858748,11950416,7999499,7999498,11950414,16386033,11404612,11404610,16386300,17664047,15891555,11016772,11016770,12367309,12367310,11404220,11404222,16385707,15622764,10809351,10809350,255417955,28936853,28936859,23458860,23458859,30593590,31110628,31110626,39028594,30439100,30439099,39028592,47807638,256344596,256886227,33517877,268755645,29316267,29316268,255966641,16910681,16910678,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175131,5204154,8123049,12079850,17180445,19105281,13640868,9341014,9341015,13640870,17180410,12079819,12079821,10983823,7270428,7270430,10983830,12079664,8122936,8122938,5204113,5204112,8122971,12079732,16911013,15849166,11834680,7909254,5027890,5027891,7909297,7370054,7370057,11112300,11483039,16480504,21936701,23175198,30593846,29753913,22393363,16910845,16910844,22677495,16480532,16480531,12079814,8123028,8123027,12079811,17180399,23458897,19105299,13640876,9341019,6118537,6118539,9341023,13640881,19105305,15848883,10983779,7270404,4584938,4584940,7270416,10983806,9341174,9341172,13641101,10480842,6910212,4655858,4655860,7369926,254783679,5027389,5027390,7908653,11833812,11835701,11833683,10481088,10481089,7908578,5027334,5027333,7908577,11833701,11834169,16909938,23174039,29009788,21723149,21723148,29009786,22547319,16371372,16371373,22547321,24134197,17770450,12575639,8529082,8529083,12575642,17770453,24134187,24134186,31641121,35341295,40330135,31641128,257092057,61841102,256895434,102311320,257475086,70556597,258421206,21320773,19824892,14201042,9762149,9762147,14201035,19824833,14201006,14201007,18856800,18856801,25455743,33202643,42162583,50132786,40112639,31433680,31433681,38792766,38792765,48714482,271285482,42623701,42623699,33599149,33599150,33599153,255687455,254937667,6135652,6135651,9367194,13678590,13678588,13321481,13321484,16517100,14606706,10289401,10289399,13285436,9068669,9068671,10044754,8515521,5513718,5513719,4475904,4475906,7109027,7831140,7831139,11730074,16777148,21617888 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8902232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8806045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5500501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7306712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5500756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8782044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9727918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166064, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8836759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8836759, s2 = 5502513, int(edited[s2]) = 0 s1 = 8836759, s2 = 5502513, d1 = 5, d2 = 0 Dl.O(d1) = 226523579,224424005,224424004 Dl.O(d2) = 226523580 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5435126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8850427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5436211, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9663837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9663837, s2 = 10361070, int(edited[s2]) = 0 s1 = 9663837, s2 = 10361070, d1 = 61, d2 = 29 Dl.O(d1) = 255893960,29555699,38119901,255079756,16079210,11166516,7408123,7408125,11166520,11166822,7408595,4681268,4681267,7408592,11167187,16080068,255893979,38121191,38120229,29555062,22210222,16079480,16079481,22210226,256389993,38121688,38121706,257512331,59425732,48033304,38120086,29554928,29554929,29556422,22211437,22211436,29556419,38121804,48035090,59427442,57851402,46495513,46495512,258014047,84089357,85759061,72164405,59425412,48032954,38119751,29554618,29554619,38119755,48032962,50418388,40383963,40383962,50418384,52054875,52054878,256870504,48792192,39375605,30774402,23350814,17083452,17083453,23350817,30774411,39375616,256090302,47245320,58638656,48222494,38312589,29743915,29743916,23557304,17248106,17248107,23557306,29743943,29743942,38312627,258760427,260003399,127785910,141142796,273126221,265203059 Dl.O(d2) = 234208521,266161363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9663837, s2 = 10361070, dlinesl.size( ) = 38 s1 = 13838811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8822945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8839932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5504656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5504940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5363988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8853964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13862791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9567239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9567239, s2 = 7374679, int(edited[s2]) = 0 s1 = 9567239, s2 = 7374679, d1 = 22, d2 = 14 Dl.O(d1) = 12115178,8145992,5218336,5218335,8145990,12115172,17233888,23542190,31023402,23542249,17233933,12115199,8146015,5218347,3183242,1862986,1062932,1062931,1862984,3183238,5218342,5218359,3183249,1862990,1862991,3183251,5218363,8145968,8145967,12115152,17233855,23542148,31023346,37734436,256065278,39420839,30815621,23386334,17114861,12027117,8085782,8085783,255148157,15863603,10995154,10995155,15863605,21955107,18146308,12867696,12867697,18146311,22610159,16425918,11441258,11441259,16425920,11441284,11441285,16416715,11432444,11432443,10983328,10983327,11623618,11623619,16656075,22884803,30282455,38868143,48790228,60186667,255514282,41762485,38502247,38502248,256367436,72528369,86127835,100095299,114129872,259348192,154062839,165832883,176489022,185919666,194141542,201183960,207113321,212003857 Dl.O(d2) = 265989164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9567239, s2 = 7374679, dlinesl.size( ) = 2 s1 = 9567239, s2 = 7374679, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9567239, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 8807665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5439512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5439784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5507588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5439892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8314416, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8901967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8901967, s2 = 8752299, int(edited[s2]) = 0 s1 = 8901967, s2 = 8752299, d1 = 103, d2 = 84 Dl.O(d1) = 234937125,233893651,266126511 Dl.O(d2) = 212106681,212106680,212106676,207228005,201311508,263571809,262746259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8901967, s2 = 8752299, dlinesl.size( ) = 92 s1 = 8790618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7351692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5442244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5442462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7309573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9489759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9489759, s2 = 11343154, int(edited[s2]) = 0 s1 = 9489759, s2 = 11343154, d1 = 56, d2 = 51 Dl.O(d1) = 265641354,223260082,266058495,274615182,265737559,265222013 Dl.O(d2) = 126219133,112359773,98378307,84469661,257333448,256766708,52841210,52841209,58201286,58201284,70913838,270802911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9489759, s2 = 11343154, dlinesl.size( ) = 14 s1 = 7364843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8875152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7306762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7306762, s2 = 11640736, int(edited[s2]) = 0 s1 = 7306762, s2 = 11640736, d1 = 80, d2 = 110 Dl.O(d1) = 265223985 Dl.O(d2) = 247005441,247005440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7306762, s2 = 11640736, dlinesl.size( ) = 52 s1 = 5511930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5444751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8792241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8792241, s2 = 7352319, int(edited[s2]) = 0 s1 = 8792241, s2 = 7352319, d1 = 137, d2 = 77 Dl.O(d1) = 207459703,212305270,216264278,219546098,219546100,219546097,216264271,264700522,201583108,201583109,207459697,264791401,219546105,222318548,224698663 Dl.O(d2) = 265740827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8792241, s2 = 7352319, dlinesl.size( ) = 106 s1 = 7306991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7746603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7746603, s2 = 11516162, int(edited[s2]) = 0 s1 = 7746603, s2 = 11516162, d1 = 53, d2 = 44 Dl.O(d1) = 274284341 Dl.O(d2) = 265422468 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13888987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8825221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8825221, s2 = 7365505, int(edited[s2]) = 0 s1 = 8825221, s2 = 7365505, d1 = 13, d2 = 14 Dl.O(d1) = 222418728,224786730 Dl.O(d2) = 265888465,266138389,265813953,265504603,221166456,264913927,214749631,218236725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5448195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5448195, s2 = 7388647, int(edited[s2]) = 0 s1 = 5448195, s2 = 7388647, d1 = 100, d2 = 127 Dl.O(d1) = 224796381 Dl.O(d2) = 266139085 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5515168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7363796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7313131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5515479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13840165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1286508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5524457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5449347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5449347, s2 = 11147490, int(edited[s2]) = 0 s1 = 5449347, s2 = 11147490, d1 = 22, d2 = 42 Dl.O(d1) = 224834364 Dl.O(d2) = 256394509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5449347, s2 = 11147490, dlinesl.size( ) = 32 s1 = 13781839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8810408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8810408, s2 = 11042176, int(edited[s2]) = 0 s1 = 8810408, s2 = 11042176, d1 = 64, d2 = 80 Dl.O(d1) = 263967159,207782894,212579601,216500136,219752028,265427263,265240660,219752030,265427265,224855130 Dl.O(d2) = 270847314,15544250,255478184,884807,884806,1556309,2686686,4471824,2876891,2876890,4772806,7546451,11358479,16326491,20122610,22507505,22507503,19235875,13743065,13743064,15539766,17285254,12164622,11029728,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559556,7559610,5262029,3217284,1885035,1885034,3217276,5262009,8192516,12162032,17283024,15913940,11035423,11035422,15913936,267770500,12173794,16344021,16344019,254132226,267797286,27233384,35356102,44780421,255545356,29576957,32787533,25089767,25089766,25087911,255049316,13175591,18542948,25087916,25089706,25089705,29323154,25090019,25090018,32787629,30627032,29408447,22077838,15972101,15972099,21094605,21094606,25088914,22228883,17299185,17299184,21095471,15152817,15152816,21095465,22524131,22524132,25090300,18544808,18544807,25090295,25087908,20227209,14514776,14514778,15096758,10411956,10411957,15096762,21019498,28213038,27233916,23569250,18543122,18543121,22170402,16046772,16046773,13175763,13175762,18543244,16302876,11343448,7538247,7538250,11343459,8982068,8982070,11851990,8209144,8209140,12177516,13176347,255242567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8810408, s2 = 11042176, dlinesl.size( ) = 52 s1 = 5450151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8746752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5451433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5518944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7366523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9042120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5453726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5520298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5520771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7187838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5522051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5456398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5522725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7753424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7753424, s2 = 10200930, int(edited[s2]) = 0 s1 = 7753424, s2 = 10200930, d1 = 39, d2 = 87 Dl.O(d1) = 274415442 Dl.O(d2) = 161496796,261507112,172669710,161496815,149210092,135982093,122049789,122049790,122049779,122049781,259726978,161496799,172669706,161496807,149210085,135982088,122049784,122049783,135982086,122049786,122049785,259096226,107670872,93265337,257849488,259096228,149210101,149210095,135982096,122049791,122049790,122049779,122049781,259726978,161496799,172669706,161496807,161496808,161496803,149210083,149210081,149210080,161496802,172669710,161496815,149210092,135982093,135982094,149210094,260344544,135982101,259096224,270585408,149210097,161496810,149210088,135982089,122049784,259096222,259726982,122049788,257849486,93265335,107670866,122049785,259096226,107670872,107670871,270056964,107670861,122049776,135982077,260344538,161496817,260344544,135982101,259096224,270585408,149210097,161496819,172549672,161496804,149210083,149210081,149210080,161496802,172669710,161496815,149210092,135982093,135982094,149210094,260344544,135982101,122049801,257849490,79148558,65793701,53737762,43225634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7753424, s2 = 10200930, dlinesl.size( ) = 20 s1 = 5522969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5522969, s2 = 7661275, int(edited[s2]) = 0 s1 = 5522969, s2 = 7661275, d1 = 9, d2 = 9 Dl.O(d1) = 227072353,225046704,222713865,219997550,216778908,212895544,264180048,195535744,187525984,178324711,167897815,156317567,262378311,261872936,126516008,271424056,84726237,84726238,98655995,102516908,88508898,74872908,62074859,50582936,257443098,28651152,28651153,256052192 Dl.O(d2) = 227072353,225046704,222713865,219997550,216778908,212895544,264180048,195535744,187525984,178324711,167897815,156317567,262378311,261872936,126516008,271424056,84726237,84726238,98655995,102516908,88508898,74872908,62074859,50582936,257443098,28651152,28651153,256052192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5522969, s2 = 7661275, dlinesl.size( ) = 2 s1 = 5522969, s2 = 7661275, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5522969, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 8866073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7368036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8855044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13827279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5525248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5525248, s2 = 14133912, int(edited[s2]) = 0 s1 = 5525248, s2 = 14133912, d1 = 49, d2 = 37 Dl.O(d1) = 227139822,225124354,225124355,265452639 Dl.O(d2) = 265065873,222805009,222805029,222805028,222805032,220109218,264842213,208368984,202664801,195875653,195875654,263289659,168548333,261901551,260793033,259580927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5525248, s2 = 14133912, dlinesl.size( ) = 28 s1 = 5460219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5460219, s2 = 6973779, int(edited[s2]) = 0 s1 = 5460219, s2 = 6973779, d1 = 14, d2 = 21 Dl.O(d1) = 225182018 Dl.O(d2) = 260811547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5460219, s2 = 6973779, dlinesl.size( ) = 2 s1 = 5460219, s2 = 6973779, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5460219, Dl.E( ) = 32, 1.6e-05 seconds used appending s1 = 7258229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5461768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5229077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5229077, s2 = 11660847, int(edited[s2]) = 0 s1 = 5229077, s2 = 11660847, d1 = 9, d2 = 13 Dl.O(d1) = 217128839,265275891 Dl.O(d2) = 74850236,62052102,50559677,40523237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5229077, s2 = 11660847, dlinesl.size( ) = 2 s1 = 5229077, s2 = 11660847, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5229077, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10260437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5462147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5462147, s2 = 8528742, int(edited[s2]) = 0 s1 = 5462147, s2 = 8528742, d1 = 2, d2 = 0 Dl.O(d1) = 222948119,225241151,227235114,228977596,227394823,225430131,225430130,225430132,223170093,220555210,217480570,213794182,209301715,203825038,197264988 Dl.O(d2) = 189575010,180676145,180676141,170543263,170543262,262123626,262610658,180676145,170543267,170543266,180676144,189575009,197264993,203825040,197264989,189575006,262610656,170543268,159203439,146829070,270788992,105457746,91236141,77316749,64168562,268371028,33033619,25307068,254755968,17906669,12685592,12685594,10419710,10419713,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,2920639,2920635,4846934,7660781,11516457,16524461,21619295,21619293,28895038,32533807,36467821,38404834,29832914,22465982,16297880,16297879,22465981,29832913,38404832,36620644,28558211,28558212,37058990,46937422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5462147, s2 = 8528742, dlinesl.size( ) = 2 s1 = 5462147, s2 = 8528742, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5462147, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 7400984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7400984, s2 = 7209276, int(edited[s2]) = 0 s1 = 7400984, s2 = 7209276, d1 = 17, d2 = 10 Dl.O(d1) = 266272840,225279322,222990684,222990685,225279323,227267807,274304582,264855018 Dl.O(d2) = 264609652,264032000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7400984, s2 = 7209276, dlinesl.size( ) = 2 s1 = 7400984, s2 = 7209276, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7400984, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 13831993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7355832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5529158, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11660598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7311792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7311792, s2 = 8918737, int(edited[s2]) = 0 s1 = 7311792, s2 = 8918737, d1 = 39, d2 = 53 Dl.O(d1) = 265282915,225349283,227327066,265921823,231940566,233166174,231940570 Dl.O(d2) = 236080645,266361116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7311792, s2 = 8918737, dlinesl.size( ) = 58 s1 = 9596680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9596680, s2 = 5346985, int(edited[s2]) = 0 s1 = 9596680, s2 = 5346985, d1 = 9, d2 = 22 Dl.O(d1) = 90889945 Dl.O(d2) = 221626953,264581282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9596680, s2 = 5346985, dlinesl.size( ) = 2 s1 = 9596680, s2 = 5346985, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9596680, Dl.E( ) = 32, 1.12e-05 seconds used appending s1 = 8842677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8812066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5530390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5530390, s2 = 4532983, int(edited[s2]) = 0 s1 = 5530390, s2 = 4532983, d1 = 11, d2 = 1 Dl.O(d1) = 227358132,227358133,225385917,223116260,220488175,217396892,262403492,209165808,203656835 Dl.O(d2) = 180435401,170293031,158950679,146583509,133338007,119478859,105254392,91044837,77140285,64009753,52176697,41852535,32923201,25208532,18644348,13256875,9044965,5911776,3695024,2212388,2160132,2160130,1282837,733152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5530390, s2 = 4532983, dlinesl.size( ) = 2 s1 = 5530390, s2 = 4532983, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5530390, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8842746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5465555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7356185, s2 = 8675069, int(edited[s2]) = 0 s1 = 7356185, s2 = 8675069, d1 = 79, d2 = 8 Dl.O(d1) = 265785714 Dl.O(d2) = 193742794,193742795,264210081,211761153,215801617,216551918,212638900,212638899,265243881,216551919,212638900,264496620,264282769,211761152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7356185, s2 = 8675069, dlinesl.size( ) = 66 s1 = 5465645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5233982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5233982, s2 = 6829690, int(edited[s2]) = 0 s1 = 5233982, s2 = 6829690, d1 = 134, d2 = 73 Dl.O(d1) = 217454291,265287029 Dl.O(d2) = 258955494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5233982, s2 = 6829690, dlinesl.size( ) = 110 s1 = 5043375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5466499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5466499, s2 = 10234702, int(edited[s2]) = 0 s1 = 5466499, s2 = 10234702, d1 = 22, d2 = 55 Dl.O(d1) = 225433687 Dl.O(d2) = 152793846,164631414,175393284,184942605,193281022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5531967, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14693283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14693283, s2 = 9612971, int(edited[s2]) = 0 s1 = 14693283, s2 = 9612971, d1 = 30, d2 = 39 Dl.O(d1) = 223195368,265789703,227416491,274376631,213829958,209341828,264192020,189630947 Dl.O(d2) = 274489459,265928033,274614619,234319369,266219754,274576959,230650389,265984582,225453220,225453221,227416494,265706494,264971134,209341827,265291705,223195369 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5236091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5467375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5467375, s2 = 13764173, int(edited[s2]) = 0 s1 = 5467375, s2 = 13764173, d1 = 4, d2 = 12 Dl.O(d1) = 225455760 Dl.O(d2) = 262814330,210373343,263975550,214643211,263242570,205149522,210373340,263242568,205149520,198842666,262814330,210373343,263975550,214643211,263242570,205149522,210373340,263242568,205149520,198842666,262814330,210373343,263975550,214643211,263242570,205149522,210373340,263242568,198842664,198842665,205149522,210373340,263242568,205149520,198842666,191395555,182741636,172840770,161681178,149388129,149388130,258884584,107757320,93329587,256523442,53776401,43260547,34170403,254594684,14026522,9642528,6339248,6339249,5138414,3124871,3124870,5138411,6475058,6475059,9857353,14347200,16286076,14348082,9858149,6475694,6475695,9858151,14347280,9857411,6475093,6475092,9857410,254247644,254127412,16668280,16668279,22898624,30297040,28155940,254369872,26916191,20031894,14348912,9858892,6476209,4058332,267782623,799612,799610,1405091,2429039,4058307,4944044,4944043,7793704,7793702,7793781,7793782,11687168,11685799,7792743,4941039,4941038,7784766,11676034,16668733,11634274,7750584,7750585,4937804,4937805,254247194,11675899,16717730,22954361,16734269,16734268,20974085,22454990,16286419,16286418,22454987,29822276,38394694,30296769,23365681,17096620,12009893,8067272,8067273,11674838,12009888,16668559,22898919,28087015,25109788,18560359,17091243,12003949,8058739,7936327,5046707,5046705,7936343,11872827,16960943,16714061,11672260,11672261,16714070,22950882,30352549,30356581,29195507,21883419,15807365,10953680,10953678,11435250,7603243,4810066,4810065,7603237,11435239,16419224,22602404,16714048,16714047,22898020,29820450,22453114,22453111,16957131,16957130,17103525,16953990,11866356,7930900,5041864,5041863,7930898,11866352,16953981,23227231,254817308,30778016,23353976,23353978,23270521,17007590,17007588,23270514,23354106,17086326,17086328,23354111,30778165,23361360,23256537,23256538,29419090,22969256,22954570,22954569,22954618,16717974,11676096,7784799,7784797,11676087,16717956,17086211,16718313,11676500,11676498,16718341,17009397,17009396,17009359,16261099,11305685,7506055,7506054,11305678,16261080,22427937,23329639,17102790,17008101,17008103,22848065,16624124,16624125,22848070,29379194,30687922,23351839,23351837,28588261,30655399,23234182,23234184,22427792,22427794,22378080,16221807,16221809,17091269,16286860,16286861,22455250,17072650,17072651,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,7977428,11923324,17009384,17798765,17798763,23342764,23268381,21709070,15667141,10845859,10845860,15379934,10628201,10628165,7015131,4410891,2644822,2644824,4410899,7015147,10025386,8033673,5123167,3112761,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,7973869,7973854,7973853,11919247,254174844,11876040,11907872,7964864,5067136,3071082,3071083,5067137,7964866,11907875,7964868,7964869,11907881,254253816,11981911,8030521,8030520,11326825,11326824,8052749,8052750,11530652,12014172,10772308,254378388,4481381,4481379,254129750,15573132,16260865,16791241,11740466,11740465,16791240,23035110,28875454,37416212,28874573,21599148,21599149,17000177,17000178,19100510,15573361,15573362,21600685,17024485,254562094,30699396,39297027,39401691,49329819,60731651,256471928,87097824,101095206,256436228,66910631,255112282,34637711,267896660,17064101,11972704,254549754,17310260,14590127,10039417,6597694,4133400,4133401,6597696,10039420,14590133,20329921,27264557,28112196,28112195,22612612,16428241,16428242,12187049,12187050,17311390,23627359,20329904,20329905,27264543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5467375, s2 = 13764173, dlinesl.size( ) = 2 s1 = 5467375, s2 = 13764173, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5467375, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 5467806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5468330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9602482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9602482, s2 = 5534051, int(edited[s2]) = 0 s1 = 9602482, s2 = 5534051, d1 = 0, d2 = 0 Dl.O(d1) = 2262769,3777405,6037950,9219996,9219997,13478650,18910133,256649233,52645518,64544701,77726849,91654518,105862460,260876955,147142654,159503989,170834699,170834698,180956836,189838536,197497079,204017810,209457941,213921789,217586718,220645691,223247859,265642535,227456151,229168838,228798425,227026253,224994763,222656531,219933794,216707050,212814181,208052293,202276777,195407205,187372608,263259123,167684555,156082076,143550170,130226177,116392360,102302160,102302161,116392362,130226179,261857707,143550179,156082079,143550174,261857705,130226172,130226173,261315723,130226158,143550155,156082059,261315727,116392366,259533363,74680263,61887052,50396630,50396629,258286155,88307460,102302158,116392358,130226175,261857709,143550169,156082072,262833469,156082058,143550154,143550155,156082059,261315727,116392366,259533363,88307463,102302164,116392368,116392352,102302154,88307457,88307458,102302155,116392354,261315725,156082072,262833469,156082058,143550154,143550155,156082059,261315727,116392366,116392367,130226185,143550177,261857711,130226182,116392363,102302162,88307462,88307461,102302161,116392362,130226179,261857707,260744979,102302165,102302166,261315729,143550172,143550173,143550159,130226161,130226162,261857699,156082059,261315727,116392366 Dl.O(d2) = 2262769,3777405,6037950,9219996,9219997,13478650,18910133,256649233,52645518,64544701,77726849,91654518,105862460,260876955,147142654,159503989,170834699,170834698,180956836,189838536,197497079,204017810,209457941,213921789,217586718,220645691,223247859,265642535,227456151,229168838,228798425,227026253,224994763,222656531,219933794,216707050,212814181,208052293,202276777,195407205,187372608,263259123,167684555,156082076,143550170,130226177,116392360,102302160,102302161,116392362,130226179,261857707,143550179,156082079,143550174,261857705,130226172,130226173,261315723,130226158,143550155,156082059,261315727,116392366,259533363,74680263,61887052,50396630,50396629,258286155,88307460,102302158,116392358,130226175,261857709,143550169,156082072,262833469,156082058,143550154,143550155,156082059,261315727,116392366,259533363,88307463,102302164,116392368,116392352,102302154,88307457,88307458,102302155,116392354,261315725,156082072,262833469,156082058,143550154,143550155,156082059,261315727,116392366,116392367,130226185,143550177,261857711,130226182,116392363,102302162,88307462,88307461,102302161,116392362,130226179,261857707,260744979,102302165,102302166,261315729,143550172,143550173,143550159,130226161,130226162,261857699,156082059,261315727,116392366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9602482, s2 = 5534051, dlinesl.size( ) = 2 s1 = 9602482, s2 = 5534051, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9602482, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14768107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9289372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660824, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13876483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13876483, s2 = 13559106, int(edited[s2]) = 0 s1 = 13876483, s2 = 13559106, d1 = 173, d2 = 290 Dl.O(d1) = 225531598,265851493 Dl.O(d2) = 89351824,103447580,103720378,89605520,75823452,75823451,89605518,84991452,71417814,71417815,258889628,73248280,73248281,86860858,91445273,91445272,88315614,86860762,86860761,100841318,100841333,259759156 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5470377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8938456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8938456, s2 = 1017067, int(edited[s2]) = 0 s1 = 8938456, s2 = 1017067, d1 = 38, d2 = 0 Dl.O(d1) = 266383249 Dl.O(d2) = 25683079 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5470982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10338368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7741040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8871995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8891272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8799165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8815739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5537965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5537978, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5152774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5538387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4946065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5055465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7763061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7763061, s2 = 11185982, int(edited[s2]) = 0 s1 = 7763061, s2 = 11185982, d1 = 90, d2 = 84 Dl.O(d1) = 274581007,226221047,265311498 Dl.O(d2) = 115172742,101095472,87098110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7763061, s2 = 11185982, dlinesl.size( ) = 2 s1 = 7763061, s2 = 11185982, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7763061, Dl.E( ) = 92, 6.1e-05 seconds used appending s1 = 10289667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10289667, s2 = 9578066, int(edited[s2]) = 0 s1 = 10289667, s2 = 9578066, d1 = 29, d2 = 26 Dl.O(d1) = 239797412,239221302,239221303,274885448,266886361,266771009 Dl.O(d2) = 171832980,160642933,148377651,262020219,160642936,148377653,135208450,121357745,107060785,92721392,78658817,65355372,53352929,42888199,33844375,26024358,26024357,33844374,269110297,78658815,92721390,107060783,121357743,129724535,115825334,101779115,87806691,74203420,61424763,49946929 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7720058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7720058, s2 = 7763221, int(edited[s2]) = 0 s1 = 7720058, s2 = 7763221, d1 = 68, d2 = 66 Dl.O(d1) = 273647919,225676030 Dl.O(d2) = 274583740 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5474703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5541080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5541080, s2 = 11589188, int(edited[s2]) = 0 s1 = 5541080, s2 = 11589188, d1 = 61, d2 = 119 Dl.O(d1) = 227705317 Dl.O(d2) = 266088425,233542589,234617639,235596911,266574671,238043750,238717078,238043747,238043744,238043743,266806418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5541080, s2 = 11589188, dlinesl.size( ) = 58 s1 = 9519597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9519597, s2 = 5957963, int(edited[s2]) = 0 s1 = 9519597, s2 = 5957963, d1 = 27, d2 = 29 Dl.O(d1) = 49328383,257529982 Dl.O(d2) = 172991260,263781251,191540155,198972042,205255374,264671015,214703469,218198342,274324041,225822320,274497855,266072233,232190729,233388085,234474714,235463611,236366363,266639317,266773737,238440080,237739995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9519597, s2 = 5957963, dlinesl.size( ) = 2 s1 = 9519597, s2 = 5957963, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9519597, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 5407210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5407210, s2 = 12920145, int(edited[s2]) = 0 s1 = 5407210, s2 = 12920145, d1 = 48, d2 = 42 Dl.O(d1) = 225835788,223659909,223659908,225835789,227733326,229398097,265459550,265626198,234482335,235470372,236372118,237196483,237196482,237196481,237920783,237168433,236342220,236342219,237168429,266546926,238604718,237920779,266546926,266590624,237168436,237920784,237168434,236342221,236342222,237168436,237920784,237168434,237168435,266623212,239230498,238631042,238631041,239230501,238631044,237947564,237196485,236372119,236372120,237196487,237920783,237168433,236342220,236342219,237168431,237920781,238604721,239230500,239256590,238631046,237947566,237196486,236372119,236372120,237196487,237920783,237168433,236342220,236342219,237168431,237920781,238604721,239230500,239256590,238631046,237947566,237196486,236372119,236372120,266271316,237168438,236342223,235437981,234447616,234447615,235437979,236342222,237168436,237920784,237168434,237168435,266546922,237947564,237947561,266163308,235470371,235470372,266271314,238631041,239230501,266546924,266694674,266511576,232159210,265860316,227664186,225750556,265193718,264751964,210230516,204971986,198625822,263138448,161277986,261155538,107411076,93002977,258111078,33994485,26152917,26152918,33994486,43053402,53533305 Dl.O(d2) = 261715874,63754127,51942016,257757321,257386120,256270710,36611192,33206759,255896320,41638007,32730684,25042639,25042638,32730683,41638005,51942021,255896322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5407210, s2 = 12920145, dlinesl.size( ) = 2 s1 = 5407210, s2 = 12920145, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5407210, Dl.E( ) = 50, 1.38e-05 seconds used appending s1 = 5542305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5542508, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8858782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8858782, s2 = 8742814, int(edited[s2]) = 0 s1 = 8858782, s2 = 8742814, d1 = 26, d2 = 40 Dl.O(d1) = 229425769,227763767 Dl.O(d2) = 273503144,183097492,191705284,199106303,199417624,205365978,209755627,204367493,197908704,190330560,181554169,171556902,160354835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8858782, s2 = 8742814, dlinesl.size( ) = 20 s1 = 8812668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8812668, s2 = 11545328, int(edited[s2]) = 0 s1 = 8812668, s2 = 11545328, d1 = 58, d2 = 75 Dl.O(d1) = 274129286,223710179,225880106 Dl.O(d2) = 233423273,234506271,235492677,236392716,236065495,266079466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8812668, s2 = 11545328, dlinesl.size( ) = 38 s1 = 8783365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7315689, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5252037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8800034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9724894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15766323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8769506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7331403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5481140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5481140, s2 = 15015968, int(edited[s2]) = 0 s1 = 5481140, s2 = 15015968, d1 = 28, d2 = 0 Dl.O(d1) = 225932443 Dl.O(d2) = 103396030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5481140, s2 = 15015968, dlinesl.size( ) = 40 s1 = 5481209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5481892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5482053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5482053, s2 = 7260655, int(edited[s2]) = 0 s1 = 5482053, s2 = 7260655, d1 = 19, d2 = 28 Dl.O(d1) = 225956361 Dl.O(d2) = 264689004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9594773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5546421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9666021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9666021, s2 = 4194174, int(edited[s2]) = 0 s1 = 9666021, s2 = 4194174, d1 = 55, d2 = 51 Dl.O(d1) = 225965081,225965083,227848793 Dl.O(d2) = 158658139,158658141,158658140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9666021, s2 = 4194174, dlinesl.size( ) = 14 s1 = 7320538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5483137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5483683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9740944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5548423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5548634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5548889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16306306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10357641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7359955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7364752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7355472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8870497, s2 = 8760216, int(edited[s2]) = 0 s1 = 8870497, s2 = 8760216, d1 = 61, d2 = 58 Dl.O(d1) = 226072731,227941135,229582331,229595902,227956750 Dl.O(d2) = 210941373,210941368,264349668,218545932,264866130,218545939,218545935,215112074,215112075,218545937,264621746,215112072,218545931,218545935,218545934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8870497, s2 = 8760216, dlinesl.size( ) = 2 s1 = 8870497, s2 = 8760216, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8870497, Dl.E( ) = 68, 3.5e-05 seconds used appending s1 = 8802668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5486402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7317336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7317336, s2 = 6518309, int(edited[s2]) = 0 s1 = 7317336, s2 = 6518309, d1 = 97, d2 = 82 Dl.O(d1) = 265349307 Dl.O(d2) = 255488104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7317336, s2 = 6518309, dlinesl.size( ) = 20 s1 = 7769486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7769486, s2 = 11214202, int(edited[s2]) = 0 s1 = 7769486, s2 = 11214202, d1 = 31, d2 = 35 Dl.O(d1) = 274680415,234626478,233552702,232372191,231066821,229612100,227975311 Dl.O(d2) = 70495097,57794166,46438826,46438825,57794162,70495094,72219035,60747747,49344640,49344639,256937176,62064910,72219037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7769486, s2 = 11214202, dlinesl.size( ) = 2 s1 = 7769486, s2 = 11214202, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7769486, Dl.E( ) = 40, 9.06e-06 seconds used appending s1 = 5550687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5550687, s2 = 5781410, int(edited[s2]) = 0 s1 = 5550687, s2 = 5781410, d1 = 30, d2 = 93 Dl.O(d1) = 227980400 Dl.O(d2) = 234145046,233021350,231778708,230395156,228837867,228837866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5550687, s2 = 5781410, dlinesl.size( ) = 2 s1 = 5550687, s2 = 5781410, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5550687, Dl.E( ) = 110, 3.19e-05 seconds used appending s1 = 5487385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8881287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8881287, s2 = 9060, int(edited[s2]) = 0 s1 = 8881287, s2 = 9060, d1 = 29, d2 = 0 Dl.O(d1) = 232381339 Dl.O(d2) = 96377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8881287, s2 = 9060, dlinesl.size( ) = 8 s1 = 9286216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9286216, s2 = 15001483, int(edited[s2]) = 0 s1 = 9286216, s2 = 15001483, d1 = 20, d2 = 38 Dl.O(d1) = 262624369 Dl.O(d2) = 208004161,273563916,202223963,195349218,187309524,178072780,167610016,156000764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9286216, s2 = 15001483, dlinesl.size( ) = 30 s1 = 5551337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5551337, s2 = 4851922, int(edited[s2]) = 0 s1 = 5551337, s2 = 4851922, d1 = 9, d2 = 9 Dl.O(d1) = 219562792,222333114,224711695,226776923,228578335,230162135,274602133,232828620,232391422,231088733,229636181,228000965,226139116,223999858,221530935,264710238,215229166,211076096,211076097,211076095,205994853,263471852,192578125,192578137,199848941,205994852,263471852,184128408,174480469,174480470,184128411,263471854,184128409,174480469,174480470,184128411,263471856,184128412,263069748,192578135,192578136,199848940,263471860,192578131,184128413,184128414,192578132,199848930,199848931,199848933,205994852,263471852,192578125,184128418,174480474,163645202,163645201,174480472,184128414,192578132,199848930,199848931,199848933,205994852,263471852,192578123,273692400,211076090,215229165,218650639,218650640,215229167,211076096,211076097,264449352,205994855,199848932,274082420,211076098,215229164,215229165,218650639,274178366,215229167,211076096,205994854,199848932,192578127,192578128,263833778,205994855,199848932,192578127,192578128,263833780,211076098,211076093,205994850,205994851,273842312,199848935,199848934,205933068,199778117,192498659 Dl.O(d2) = 219562792,222333114,224711695,226776923,228578335,230162135,274602133,232828620,232391422,231088733,229636181,228000965,226139116,223999858,221530935,264710238,215229166,211076096,211076097,211076095,205994853,263471852,192578125,192578137,199848941,205994852,263471852,184128408,174480469,174480470,184128411,263471854,184128409,174480469,174480470,184128411,263471856,184128412,263069748,192578135,192578136,199848940,263471860,192578131,184128413,184128414,192578132,199848930,199848931,199848933,205994852,263471852,192578125,184128418,174480474,163645202,163645201,174480472,184128414,192578132,199848930,199848931,199848933,205994852,263471852,192578123,273692400,211076090,215229165,218650639,218650640,215229167,211076096,211076097,264449352,205994855,199848932,274082420,211076098,215229164,215229165,218650639,274178366,215229167,211076096,205994854,199848932,192578127,192578128,263833778,205994855,199848932,192578127,192578128,263833780,211076098,211076093,205994850,205994851,273842312,199848935,199848934,205933068,199778117,192498659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5551337, s2 = 4851922, dlinesl.size( ) = 2 s1 = 5551337, s2 = 4851922, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5551337, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13815553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7317796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7317796, s2 = 7394885, int(edited[s2]) = 0 s1 = 7317796, s2 = 7394885, d1 = 52, d2 = 54 Dl.O(d1) = 265354205 Dl.O(d2) = 266206307 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10271354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10271354, s2 = 10340310, int(edited[s2]) = 0 s1 = 10271354, s2 = 10340310, d1 = 42, d2 = 41 Dl.O(d1) = 174693643,184316212,192735112,264162333,264713233,218693571,221565514,221565515,224028901,226164729,226164731 Dl.O(d2) = 212483929,264276182,260106700,8144129,5217112,5217111,8144125,12112551,17230594,22853525,17335140,12209550,255550741,258867021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10271354, s2 = 10340310, dlinesl.size( ) = 14 s1 = 5317497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7745176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7380828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7380828, s2 = 7706129, int(edited[s2]) = 0 s1 = 7380828, s2 = 7706129, d1 = 58, d2 = 46 Dl.O(d1) = 266055708,226193140 Dl.O(d2) = 273235202 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7345048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7345048, s2 = 7342951, int(edited[s2]) = 0 s1 = 7345048, s2 = 7342951, d1 = 11, d2 = 13 Dl.O(d1) = 265662403 Dl.O(d2) = 265636400,274040888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7345048, s2 = 7342951, dlinesl.size( ) = 14 s1 = 7735276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7735276, s2 = 7345047, int(edited[s2]) = 0 s1 = 7735276, s2 = 7345047, d1 = 11, d2 = 12 Dl.O(d1) = 274040889,265636401 Dl.O(d2) = 265662402,174947512,164126528,272757762,84384570,258028055,28362373,21146605,21146607,28362376,36860697,42762782,36860449,255685136,21146477,255417790,29580465,29580464,255417788,57959408,46582982,46582926,36696469,28205904,28205905,21146527,15193556,10479722,10479721,15193552,255811343,36860528,46742078,46742207,257418288,36696491,36696492,256185926,20328681,20328682,254676690,27102409,21146583,21146585,28362340,23611352,23611353,22787883,16572067,11553101,11553103,16572072,22787893,30176586,268163296,28361955,21146329,21146328,27263124,20328693,20328692,27263120,30176548,256436803,32623495,24956343,18439637,13098528,9778764,6429458,4033620,4033617,6429446,4668027,2812168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7735276, s2 = 7345047, dlinesl.size( ) = 14 s1 = 5553237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8834133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8834133, s2 = 10359190, int(edited[s2]) = 0 s1 = 8834133, s2 = 10359190, d1 = 49, d2 = 51 Dl.O(d1) = 218759539,218759540,221622493,224081151,226213510,224081146,224081145,226213506,226213507,228069992,229698891,228069987,226213503,224081137,221622477,265358913,274507137,226213497,226213499 Dl.O(d2) = 226213494,265973075,231144289,229698886,229698887,274503880,218558006,265152061,218956699,264440624,261047616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8834133, s2 = 10359190, dlinesl.size( ) = 30 s1 = 7318262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7318262, s2 = 7347925, int(edited[s2]) = 0 s1 = 7318262, s2 = 7347925, d1 = 0, d2 = 0 Dl.O(d1) = 265359505,265693947,229704177 Dl.O(d2) = 265359505,265693947,229704177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318262, s2 = 7347925, dlinesl.size( ) = 2 s1 = 7318262, s2 = 7347925, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7318262, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 5611619, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9344511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7318497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7318497, s2 = 8270938, int(edited[s2]) = 0 s1 = 7318497, s2 = 8270938, d1 = 23, d2 = 24 Dl.O(d1) = 265361987 Dl.O(d2) = 261205402,58790118,71519823,73561469,73561470,71519829,58792589,58792588,71522085,71521980,58792489,47405143,47405144,47405141,47405140,58790117,58790116,60147204,60147203,258800267,85094035,85094036,74835729,71521891,58792359,58372370,58372371,255596648,40510285,50545983,58364250,46994192,37108973,37108972,46994191,58364249,258672687,98565524,102470924,102470923,112558678,98565606,98565605,98565585,84642838,74834522,62037873,62037874,74834516,74834515,81120744,67654214,67654213,62039139,62039140,257105470,98574291,98574292,111611191,97692581,84326054,70766864,58048188,58048187,58048190,70766866,70766860,58048184,58048186,50547307,50547308,62039123,65780246,62039144,62037867,62037866,257688590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318497, s2 = 8270938, dlinesl.size( ) = 26 s1 = 7766068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7766068, s2 = 6590615, int(edited[s2]) = 0 s1 = 7766068, s2 = 6590615, d1 = 41, d2 = 16 Dl.O(d1) = 274628130,226250630,265696481,226250656,224119986,221663527,218802937,215415940,211317548,206302517,200236943,200236942,206302515,211317545,215415934,265169631,224119942,224119941,226250609,228105430,226250646,224119975,265537927,224119979,224119977,226250649,228105436,228105435,228105440,226250628,226250614,224119946,224119944,226250611,228105433,226250651,226250633,224119964,221663511,218802929,215415936,215415935,218802926,221663507,224119951,221663502,221663503,224119953,224119978,224119977,226250649,228105436,228105435,228105440,226250628,226250614,224119946,224119944,226250611,228105433,228105462,228105463,265696479,224119948,224119947,226250616,224119988,221663527,218802937,215415940,215415939,218802935,221663523,224119980,224119975,265537927,224119979,265169633,218802935,221663524,224119981,226250633,224119964,221663511,218802929,215415936,215415935,218802926,221663507,224119951,221663502,221663503,224119953,224119978,224119977,226250649,228105436,228105435,228105440,226250628,226250614,224119946,224119944,226250611,228105433,228105462,228105463,265696479,224119948,224119947,226250616,224119988,221663527,218802937,215415940,211317548,206302517,200236943,200236942,206302515,211317545,215415934,265169631,224119942,224119941,226250609,228105430,226250646,224119975,265537927,224119979,224119977,226250649,228105436,228105435,228105440,226250628,226250614 Dl.O(d2) = 256314005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7766068, s2 = 6590615, dlinesl.size( ) = 2 s1 = 7766068, s2 = 6590615, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7766068, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 10273299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10273299, s2 = 7002841, int(edited[s2]) = 0 s1 = 10273299, s2 = 7002841, d1 = 114, d2 = 0 Dl.O(d1) = 265842671,228746553,226969566,224931585,222585231,222585234,224120160,226250817,228105602,229722347,228094198,226239024,264957580,218790554,218790555,264957578,224108047,226239011,226969560,226969559,265434628,228094186,228094187,228105589,265362338,226239002,224108042,221651453,273849440,263490796,200214056,206284204,211302406,215402679,218790550,221651459,265169672,221663690,274182728,215416128,264957588,218790577,215402693,263850930,200214059,193025534,184647148,184647149,193025536,200214063,206284216,211302429,215402713,218790600,218790594,218790593,221651520,224108109,265169670,224108050,226239014,224108135,221651525,221651524,224108109,221651502,221651501,219853160,216615469,216615467,219853157,221663685,224108084,226239039,224108076,221651483,218790564,218790565,221651486,224108080,224108131,221651518,221651517,224108128,226239069,226250799,226250797,265975915,232473150,233644699 Dl.O(d2) = 166003404,262269480,261209164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10273299, s2 = 7002841, dlinesl.size( ) = 46 s1 = 5492065, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14136633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5269720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8891474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13430335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8834951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4736503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13891587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10170421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9623080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9049606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9049606, s2 = 5088679, int(edited[s2]) = 0 s1 = 9049606, s2 = 5088679, d1 = 56, d2 = 93 Dl.O(d1) = 262941149,189886011 Dl.O(d2) = 220673699,217617993,265099019,220673696,220673695,265480121,265576796,220673709,265008098,211507545,264242104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9049606, s2 = 5088679, dlinesl.size( ) = 54 s1 = 9612970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9612970, s2 = 14693284, int(edited[s2]) = 0 s1 = 9612970, s2 = 14693284, d1 = 53, d2 = 59 Dl.O(d1) = 224261000,265291704 Dl.O(d2) = 211532617,215609213,274376630,228218201,265789702,224260999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13855141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13855141, s2 = 16228449, int(edited[s2]) = 0 s1 = 13855141, s2 = 16228449, d1 = 28, d2 = 41 Dl.O(d1) = 264739075,218987365,221829310 Dl.O(d2) = 141725620,128380440,260044409,72925790,72925787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13855141, s2 = 16228449, dlinesl.size( ) = 2 s1 = 13855141, s2 = 16228449, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13855141, Dl.E( ) = 42, 1.22e-05 seconds used appending s1 = 10203188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7319955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7335361, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8849405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8849405, s2 = 16336908, int(edited[s2]) = 0 s1 = 8849405, s2 = 16336908, d1 = 45, d2 = 47 Dl.O(d1) = 165070023,165070024,175799804,185309692,193605983,200716119,206714950,211670894,215721339,219071540 Dl.O(d2) = 21756302,21756301,29050364,37598376,47502333,58881629,71601462,85166549,99088881,113076998,126930659,140278707,152968881,259985832,175546206,260585912,193402885,193402886,200545916,200545913,200545915,206577836,211561654,215633625,215633621,211561652,206577834,200545914,200545915,206577836,211561654,215633624,218999096,221839905,224276919,224276918,226390387,224276912,221839898,218999092,215633621,211561652,211561653,215633622,218999091,218999090,221839897,224276925,226390400,228231003,227412360,225448733,223190598,220578215,217506567,213823694,209334753,209334754,264254682,203862134,197305862,273369922,180723419,262293730,159258658,146887889,133634965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8849405, s2 = 16336908, dlinesl.size( ) = 12 s1 = 5499190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5499190, s2 = 11149540, int(edited[s2]) = 0 s1 = 5499190, s2 = 11149540, d1 = 29, d2 = 47 Dl.O(d1) = 226440477 Dl.O(d2) = 260619842,153285613,140605737,127260016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5499190, s2 = 11149540, dlinesl.size( ) = 34 s1 = 5376120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9724547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5499496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5499757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13982581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7320469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7374911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5562774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5562774, s2 = 8749741, int(edited[s2]) = 0 s1 = 5562774, s2 = 8749741, d1 = 8, d2 = 10 Dl.O(d1) = 228308808,226474467,224368543,221944138,264982531 Dl.O(d2) = 265383473,265383477,219120788,215776661,215776660,219120786,221944144,224368551,226474468,224368543,224368544,226474466,224368542,221944137,264982531,211733000,206784400,200795065,263531063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5562774, s2 = 8749741, dlinesl.size( ) = 2 s1 = 5562774, s2 = 8749741, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5562774, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 5563066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5563066, s2 = 5176437, int(edited[s2]) = 0 s1 = 5563066, s2 = 5176437, d1 = 23, d2 = 44 Dl.O(d1) = 228314766 Dl.O(d2) = 224074916,221616323,218753394,215362619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5563066, s2 = 5176437, dlinesl.size( ) = 8 s1 = 5323358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5323358, s2 = 5563477, int(edited[s2]) = 0 s1 = 5323358, s2 = 5563477, d1 = 5, d2 = 7 Dl.O(d1) = 220690812,265481411,226491662 Dl.O(d2) = 226491663,228324649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5323358, s2 = 5563477, dlinesl.size( ) = 2 s1 = 5323358, s2 = 5563477, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5323358, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 13841141, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5564765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5503171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5565572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5503585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5503585, s2 = 16173690, int(edited[s2]) = 0 s1 = 5503585, s2 = 16173690, d1 = 25, d2 = 64 Dl.O(d1) = 226547904 Dl.O(d2) = 37308296,28774636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5503585, s2 = 16173690, dlinesl.size( ) = 2 s1 = 5503585, s2 = 16173690, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5503585, Dl.E( ) = 86, 4.2e-05 seconds used appending s1 = 5503645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7312025, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14765283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14765283, s2 = 9042121, int(edited[s2]) = 0 s1 = 14765283, s2 = 9042121, d1 = 22, d2 = 28 Dl.O(d1) = 263805561,205571083,207957586,212730850,265249899,219869273 Dl.O(d2) = 264290905,212730857,215923565,265045812,215923567,274194805,265392843,226564661,226982117,224945201,265392840,265203152,212730855,207957590,264223070,187230173,177981043,167507638,155890608,155890609,167507639,177981045,177981047,177981046,187230176,263980733,207957601,264819861,264763244,202168111,263906052,263158172,167507639,177981045,177981047,263633537,273891157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9580799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9580799, s2 = 8901282, int(edited[s2]) = 0 s1 = 9580799, s2 = 8901282, d1 = 11, d2 = 9 Dl.O(d1) = 38328414,38328413,48238469,59625608,72360427,85955880,99913873,113937181,127817679,141180367,262722653,262722655,185753835,193991796,201050422,207001264,264763663,215932507 Dl.O(d2) = 274347777,226567544,265867419,231416205,232689718,233840411,234887989,235842210,236711078,237502819,238124414,237394846,266504026,234744053,266215968,266103420,229780685,228157522,226308431,224185048,221736004,218881810,215501150,211409569,206403970,200352032,193187918,184841287,175282245,164510772,261662004,270294697,15455509,10686239,7059410,254335456,277757,277758,254120167,254159631,2669851,4444451,4447796,7064251,10692871,15464271,21465188,268615131,58545479,71277057,259312105,261085829,112346431,259285649,58185415,256845993,28441752,21216161,15247862,10519036,6937060,4359171,2611877,254158333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9580799, s2 = 8901282, dlinesl.size( ) = 2 s1 = 9580799, s2 = 8901282, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9580799, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 7375739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7387018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5567227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5567227, s2 = 11178430, int(edited[s2]) = 0 s1 = 5567227, s2 = 11178430, d1 = 12, d2 = 3 Dl.O(d1) = 228411202 Dl.O(d2) = 141279340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5567227, s2 = 11178430, dlinesl.size( ) = 30 s1 = 14185517, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8850652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8850652, s2 = 5676575, int(edited[s2]) = 0 s1 = 8850652, s2 = 5676575, d1 = 42, d2 = 13 Dl.O(d1) = 264997449,265395811,226593017 Dl.O(d2) = 231435342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8850652, s2 = 5676575, dlinesl.size( ) = 24 s1 = 7321734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7321734, s2 = 3389227, int(edited[s2]) = 0 s1 = 7321734, s2 = 3389227, d1 = 37, d2 = 66 Dl.O(d1) = 265396389 Dl.O(d2) = 126212618,112352601,260378134,84460979,70904679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7321734, s2 = 3389227, dlinesl.size( ) = 18 s1 = 7764205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8835180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8835180, s2 = 4309061, int(edited[s2]) = 0 s1 = 8835180, s2 = 4309061, d1 = 24, d2 = 3 Dl.O(d1) = 230042531 Dl.O(d2) = 165922347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8835180, s2 = 4309061, dlinesl.size( ) = 34 s1 = 7350275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7350275, s2 = 8899190, int(edited[s2]) = 0 s1 = 7350275, s2 = 8899190, d1 = 95, d2 = 96 Dl.O(d1) = 265718896,226629790,224545765,222146704,219352743,216046171,216046170,212055406,207170728,201247098,194209870,185994141,176570948,165923368,154162540,261167352,128135658,262263317,141496981 Dl.O(d2) = 227954096,226087685,226087684,227954095,265964735,229593744,229593743,229593754,265964733,232358557,266202207,229593748,229593749,231050764,232358540,231050760,229593745,229593743,231050759,232358542,231050738,265830625,265830627,274588279,231050769,231050762,229593748,229593749,231050764,232358540,231050760,229593760,227954097,226087685,223944512,265683991,229593761,229593725,229593724,231050736,231050760,229593745,227954086,226087678,226087677,227954083,229593740,231050736,231050760,229593760,227954097,226087685,223944512,221469202,218580305,218580306,221469203,223944514,226087688,227954100,229593768,231050741,265830629,227954074,229593727,274588281,233541235,234616455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350275, s2 = 8899190, dlinesl.size( ) = 34 s1 = 9281636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10275372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5202236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5570434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7387634, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8808395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8808395, s2 = 14087388, int(edited[s2]) = 0 s1 = 8808395, s2 = 14087388, d1 = 19, d2 = 23 Dl.O(d1) = 222218295,265406063 Dl.O(d2) = 234951284,266238993,232765016,266340621,235900613,236766161,237554713,238270338,238921737,239520037,274849695,241059771,267050731,241637789,241208070,240743835,240242717,240242718,266977245,241637790,267103053,267033014,241208120,241208106,241208105,241637812,267033016,240743894,240743895,240242827,239701473,266877385,266941482,266835794,274821583,240242769,240743895,240242827,239701473,239115888,238478702,237782303,237782304,238478705,238478606,237782227,237782226,238478604,237782343,237015937,266485220,234248171,233137906,231910542,230547883,229016901,265669948,223003286,220348060,264919818,263795666,263022452,262078210,132717603,260392812,90542474,76679288,63592776,51806505,41527964,32640919,24969950,18450282,18450281,23578219,22462822,19665365,19665348,19665346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8808395, s2 = 14087388, dlinesl.size( ) = 18 s1 = 7351850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10259585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5510273, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5510312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5510312, s2 = 694700, int(edited[s2]) = 0 s1 = 5510312, s2 = 694700, d1 = 74, d2 = 3 Dl.O(d1) = 226713758,226713759 Dl.O(d2) = 17709312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5510312, s2 = 694700, dlinesl.size( ) = 14 s1 = 11660848, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8865810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8773563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9726641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5511339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5511339, s2 = 11660869, int(edited[s2]) = 0 s1 = 5511339, s2 = 11660869, d1 = 8, d2 = 11 Dl.O(d1) = 226744331 Dl.O(d2) = 230135440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5511339, s2 = 11660869, dlinesl.size( ) = 16 s1 = 13864589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8821480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5512999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5513207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8731991, s2 = 10356910, int(edited[s2]) = 0 s1 = 8731991, s2 = 10356910, d1 = 51, d2 = 3 Dl.O(d1) = 207563813,274285619 Dl.O(d2) = 205996987,263834928,192580701,262625802,261618926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8731991, s2 = 10356910, dlinesl.size( ) = 46 s1 = 13883643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5575082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5575082, s2 = 14092744, int(edited[s2]) = 0 s1 = 5575082, s2 = 14092744, d1 = 13, d2 = 0 Dl.O(d1) = 228621034,226827468,265419169,222400660,219639474,216370599,212428537,207608212,201762827,194818957,186705211,177388836,166840895,155147481,155147480,166840894,177388835,177388786,177388787,262784551,155147445,142503158,129126041,115194373,101116456,87118510,87118509,101116455,260680379,142503150,155147435,166840849,177388788,186705163,177388824,177388826,186705200,186705189,186705187,186705193,263603413,186705166,186705167,186705209,186705208,194818944,186705169,186705168,186705174,177388801,177388800,177388806,166840864,155147449,142503161,129126042,115194374,101116456,87118510,87118509,101116455,115194372 Dl.O(d2) = 166840892,262784557,263603415,186705149,177388773,166840835,155147424,142503142,260680377,115194369,129126035,142503147,155147428,166840839,155147456,155147455,166840874,166840893,166840894,177388835,177388786,177388787,262784551,155147445,142503158,129126041,115194373,101116456,87118510,73499898,60750991,49348171,39418700,30813523,23384599,23384598,17114137,12026642,8085507,5808398,3623009,3623007,5808392,8901134,13062406,17113632,23384604,268664051,49348176,60750996,73499903,87118515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5575082, s2 = 14092744, dlinesl.size( ) = 2 s1 = 5575082, s2 = 14092744, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5575082, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 9605148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7289768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7289768, s2 = 15316022, int(edited[s2]) = 0 s1 = 7289768, s2 = 15316022, d1 = 87, d2 = 1 Dl.O(d1) = 265025960,265419294,274418817 Dl.O(d2) = 119664642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7289768, s2 = 15316022, dlinesl.size( ) = 48 s1 = 9740364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9740364, s2 = 8822944, int(edited[s2]) = 0 s1 = 9740364, s2 = 8822944, d1 = 6, d2 = 4 Dl.O(d1) = 224782169,224782170,224782171,224782175,224782174,226837989 Dl.O(d2) = 265566496,224782173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5575565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5575828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7388646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7388646, s2 = 5448192, int(edited[s2]) = 0 s1 = 7388646, s2 = 5448192, d1 = 87, d2 = 69 Dl.O(d1) = 266139084 Dl.O(d2) = 224796378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5515115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8872801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8872801, s2 = 8885537, int(edited[s2]) = 0 s1 = 8872801, s2 = 8885537, d1 = 35, d2 = 13 Dl.O(d1) = 255868548,21916848,15833419,10972384,10972386,15791175,15791176,21864208,21866602,15793050,15793051,21866605,17525171,17525170,23869535,31363953,37753620,37737557,29176655,21866146,15792722,15792723,21866149,27215797,23485257,23484966,17201321,12096228,8135021,5212107,5212108,8135024,12096235,17201325,23484973,25424698,25424699,21866937,21866936,15805761,15805762,21866306,29176803,29234111,24065516,21880659,15805014,15805011,15793239,10942057,10942055,10942213,7240448,4570216,2748998,1593320,905805,905806,1593327,1593529,905912,510885,510883,905902,1593503,2749332,4570711,6564979,6564978,9988607,10941613,10941616,15792555,10942123,10942121,15793348,21867023,254753542,38725665,255868738,16545543,254792945,4854132,4854131,7671613,8340080,6770989,4243898,2537456,1462170,1462169,2528992,2531181,4233475,2542424,1464784,828895,467729,467730,469739,833098,1472316,1472317,2556125,4275374,4238041,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770728,4243692,3372154,3372151,1984285,1984284,3372191,5480056,4286280,4286279,6831891,5585890,3465525,254420719,4280216,4280219,6822887,5213060,3180451,3180452,5213065,8136493,6838455,6828378,4283911,2561241,2561240,4283904,4247876,4247875,6776888,10305044,13277243,9064317,9064318,10328047,6796606,4261685,4261686,6796609,10328053,14997505,12085877,12085878,17188092,23468328,28152965,20974468,19064021,19064022,24259010,17881541,17881540,255161412,59148412,267994718,256503914,153297038,165110594,273986665,274407343,229892338,265033384,226881220,224830977,224830978 Dl.O(d2) = 231635639,232890107,234026066,266445481,266352078,233381363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8872801, s2 = 8885537, dlinesl.size( ) = 12 s1 = 5577035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5516419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5516419, s2 = 11578677, int(edited[s2]) = 0 s1 = 5516419, s2 = 11578677, d1 = 10, d2 = 30 Dl.O(d1) = 226893010 Dl.O(d2) = 92460757,106766119,121019347,134816307,147935076,273004787,273460417,171402793,181422649,190223642,197823537,204297833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5516419, s2 = 11578677, dlinesl.size( ) = 14 s1 = 13767705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7324640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9724832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9724832, s2 = 5517993, int(edited[s2]) = 0 s1 = 9724832, s2 = 5517993, d1 = 10, d2 = 1 Dl.O(d1) = 210380536,214649346,218159443,221104026,223621991,225803052,227704912,229372902,230854342,232180490,266253990 Dl.O(d2) = 226936634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9724832, s2 = 5517993, dlinesl.size( ) = 2 s1 = 9724832, s2 = 5517993, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9724832, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 5578783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8866818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8866818, s2 = 14323549, int(edited[s2]) = 0 s1 = 8866818, s2 = 14323549, d1 = 65, d2 = 76 Dl.O(d1) = 274755715 Dl.O(d2) = 112214999,268609054,98236670,255817512,36791634,254223388,254119590,4323723,2586796,1491215,844351,844352,1491218,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151113,1151109,1944698,1944699,3305580,5375721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8866818, s2 = 14323549, dlinesl.size( ) = 66 s1 = 7324830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7324830, s2 = 2813055, int(edited[s2]) = 0 s1 = 7324830, s2 = 2813055, d1 = 77, d2 = 21 Dl.O(d1) = 265432083 Dl.O(d2) = 84529529,84529530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7324830, s2 = 2813055, dlinesl.size( ) = 58 s1 = 5518489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5579222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5579222, s2 = 15773847, int(edited[s2]) = 0 s1 = 5579222, s2 = 15773847, d1 = 3, d2 = 10 Dl.O(d1) = 228731642 Dl.O(d2) = 202107130,195207338,187136015,187136016,262814837,155733441,143179743,129848695,115949223,101903606,87930242,74327332,61550903,257071153,8355198,5392916,3316148,1950722,1950724,3316123,5392871,8355132,12364999,17531569,23876225,31371394,40052352,50072214,61550778,74327213,259509119,114936762,270872621,60551591,60551590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5579222, s2 = 15773847, dlinesl.size( ) = 2 s1 = 5579222, s2 = 15773847, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5579222, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14780070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14780070, s2 = 5519006, int(edited[s2]) = 0 s1 = 14780070, s2 = 5519006, d1 = 1, d2 = 1 Dl.O(d1) = 230307500,228742357,226964975 Dl.O(d2) = 230307500,228742357,226964975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14780070, s2 = 5519006, dlinesl.size( ) = 2 s1 = 14780070, s2 = 5519006, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14780070, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13892551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5519786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5519786, s2 = 10361257, int(edited[s2]) = 0 s1 = 5519786, s2 = 10361257, d1 = 33, d2 = 19 Dl.O(d1) = 226985395,228761424 Dl.O(d2) = 234635607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5580968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5580968, s2 = 16223922, int(edited[s2]) = 0 s1 = 5580968, s2 = 16223922, d1 = 41, d2 = 45 Dl.O(d1) = 228776200 Dl.O(d2) = 256556616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5580968, s2 = 16223922, dlinesl.size( ) = 12 s1 = 10275756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5304897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9733211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9282410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5522531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5523686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13771993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8854343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5584547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5584549, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5584853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9632980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9632980, s2 = 10793948, int(edited[s2]) = 0 s1 = 9632980, s2 = 10793948, d1 = 62, d2 = 87 Dl.O(d1) = 266543363,237742414 Dl.O(d2) = 127717743,127717741,258750924,99830757,258127586,269810719,38254607,29689407,22336758,16189023,11253130,11251333,254166060,4768138,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9632980, s2 = 10793948, dlinesl.size( ) = 28 s1 = 5525283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9614546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7370384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8857202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7327200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10284637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10284637, s2 = 8839619, int(edited[s2]) = 0 s1 = 10284637, s2 = 8839619, d1 = 8, d2 = 18 Dl.O(d1) = 236003530,266609059 Dl.O(d2) = 232890734,232890735,233105814,233105816,232890738,231636360,231636361,231872374,265916681,228961705,230501864,231872376,233105812,231872373,230501861,228961703,227217011,225219857,225219858,227217014,228668999,226882528,224832558,222471302,222471301,265595397,265274907,217108005,217108004,220255529,222922242,225219858,227217014,228668999,226882528,266021247,266141003,231636355,266021243,265750063,224832554,224832555,265750067,266021245,232890737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 5587288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5390827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5527851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5527851, s2 = 10361158, int(edited[s2]) = 0 s1 = 5527851, s2 = 10361158, d1 = 3, d2 = 18 Dl.O(d1) = 227242511 Dl.O(d2) = 274561547,266436247,266522834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5527851, s2 = 10361158, dlinesl.size( ) = 14 s1 = 5587591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5643379, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9282088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10266383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13823035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5588993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5588993, s2 = 6062380, int(edited[s2]) = 0 s1 = 5588993, s2 = 6062380, d1 = 50, d2 = 55 Dl.O(d1) = 229051129 Dl.O(d2) = 240813105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5588993, s2 = 6062380, dlinesl.size( ) = 14 s1 = 10360792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360792, s2 = 7327794, int(edited[s2]) = 0 s1 = 10360792, s2 = 7327794, d1 = 21, d2 = 7 Dl.O(d1) = 266167160,233166303,231940698,230581323,229055624,227327292,225349548,225349547,265631681,225349542,265921841,265921843 Dl.O(d2) = 265465901,217328192,265163250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360792, s2 = 7327794, dlinesl.size( ) = 2 s1 = 10360792, s2 = 7327794, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10360792, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 8851866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7328000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7328317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5591751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5591751, s2 = 10471536, int(edited[s2]) = 0 s1 = 5591751, s2 = 10471536, d1 = 2, d2 = 4 Dl.O(d1) = 229130007 Dl.O(d2) = 220578521,217506901,213824066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5591751, s2 = 10471536, dlinesl.size( ) = 2 s1 = 5591751, s2 = 10471536, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5591751, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 5532830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5592817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8814871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5533897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5533897, s2 = 7261772, int(edited[s2]) = 0 s1 = 5533897, s2 = 7261772, d1 = 21, d2 = 14 Dl.O(d1) = 227452684,229165621,230678973 Dl.O(d2) = 264703988,264151344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5533897, s2 = 7261772, dlinesl.size( ) = 22 s1 = 7277907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7277907, s2 = 6297201, int(edited[s2]) = 0 s1 = 7277907, s2 = 6297201, d1 = 50, d2 = 83 Dl.O(d1) = 264888190 Dl.O(d2) = 267450775,245739574,245858975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7277907, s2 = 6297201, dlinesl.size( ) = 62 s1 = 14166164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13854851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5534842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5536252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5536477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5536477, s2 = 12019114, int(edited[s2]) = 0 s1 = 5536477, s2 = 12019114, d1 = 81, d2 = 270 Dl.O(d1) = 227528197 Dl.O(d2) = 246374309,246457821,267565821,246682055,246747777,246810360,246747769,246682050,246612008,275046537,246374305,246285783,267518419,245988042,245988043,267518421,246285790,246374316,246457828,246536781,246612016,246612005,246536772,267565819,246682045,246682063,246612023,246536788,246457835,246374319,246285794,246191383,246092453,245988044,275031540,267421125,245035309 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660772, s2 = 14162059, int(edited[s2]) = 0 s1 = 11660772, s2 = 14162059, d1 = 2, d2 = 1 Dl.O(d1) = 258162974 Dl.O(d2) = 229236081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660772, s2 = 14162059, dlinesl.size( ) = 2 s1 = 11660772, s2 = 14162059, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 11660772, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5596432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4550049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4550049, s2 = 7769321, int(edited[s2]) = 0 s1 = 4550049, s2 = 7769321, d1 = 28, d2 = 20 Dl.O(d1) = 181432824,261914514,147948592,260209220,260209218,261375718,265307713,274369406,265774926,227562101,227562100,265774928,229261748,230764265,232104069,230764268,229261755,265455754 Dl.O(d2) = 274677474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4550049, s2 = 7769321, dlinesl.size( ) = 16 s1 = 5597266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5598201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5474747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8815264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8815264, s2 = 14213647, int(edited[s2]) = 0 s1 = 8815264, s2 = 14213647, d1 = 12, d2 = 17 Dl.O(d1) = 264881010,225764195,227675417,229350787,265796312 Dl.O(d2) = 2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913914,4913912,5971286,5971287,254730198,9123801,5970280,3733617,3733615,5970273,9123796,8694159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8815264, s2 = 14213647, dlinesl.size( ) = 2 s1 = 8815264, s2 = 14213647, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8815264, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 8844946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7354034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5540980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5540980, s2 = 14282621, int(edited[s2]) = 0 s1 = 5540980, s2 = 14282621, d1 = 1, d2 = 6 Dl.O(d1) = 227703383 Dl.O(d2) = 267223710,267223708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5540980, s2 = 14282621, dlinesl.size( ) = 2 s1 = 5540980, s2 = 14282621, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5540980, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 5586445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10271306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10271306, s2 = 15240493, int(edited[s2]) = 0 s1 = 10271306, s2 = 15240493, d1 = 13, d2 = 5 Dl.O(d1) = 200609424,206625470,211594948,215657214,219016710,221853698,224288240,226400294,228239729 Dl.O(d2) = 6351959,6164713,6164712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10271306, s2 = 15240493, dlinesl.size( ) = 2 s1 = 10271306, s2 = 15240493, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10271306, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 8816783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8816783, s2 = 14946643, int(edited[s2]) = 0 s1 = 8816783, s2 = 14946643, d1 = 87, d2 = 84 Dl.O(d1) = 263780251,264405993,214697663,265126651,265501719,265501716,265322912 Dl.O(d2) = 44793639,55701150,44794453,44793635,35369070,27245201,20313728,254986563,6592849,4130412,2470830,254476317,10031560,14578147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8816783, s2 = 14946643, dlinesl.size( ) = 32 s1 = 5600594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5600718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13858673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10208097, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7379022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13863953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7261300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7261300, s2 = 5709708, int(edited[s2]) = 0 s1 = 7261300, s2 = 5709708, d1 = 60, d2 = 43 Dl.O(d1) = 264697570 Dl.O(d2) = 232324530 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8844890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8844890, s2 = 8906499, int(edited[s2]) = 0 s1 = 8844890, s2 = 8906499, d1 = 19, d2 = 22 Dl.O(d1) = 266185280,235503053,266185276,265944572,230923406,230923405,230923403,229450338,229450337,227791846,227791847,229450343,230923416,232243305,233434638,234516883,233434631,232243300,230923411,265808286,234516884,235503054,235503046,234516878,233434625,233434624,234516876,233434635,232243303,232243304,265944580,235503058 Dl.O(d2) = 229450338,265121078,225902350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 5544228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7364054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5603131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7331542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10268847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13804493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5482227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5165687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7430144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7430144, s2 = 8603211, int(edited[s2]) = 0 s1 = 7430144, s2 = 8603211, d1 = 24, d2 = 1 Dl.O(d1) = 266574541,230981286,229511902 Dl.O(d2) = 173680529,162659574,262090980,123789530,260406990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7430144, s2 = 8603211, dlinesl.size( ) = 22 s1 = 5546857, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7241233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7249965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8846463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5548082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5548082, s2 = 14300731, int(edited[s2]) = 0 s1 = 5548082, s2 = 14300731, d1 = 3, d2 = 0 Dl.O(d1) = 192117488,263049020,205672652,210812840,215011760,218465558,221367328,223852951,226007660,227887048,229538451,265679306,265519314,229538453,231004985,229538450,229538449,229538452,229538451,265679306,232319493,232319494,233506699,234584785,235566402,236460710,237277223,238020404,266572404,266524962,235128953,234100521,232970421,231722038,230332358,228768873,265739158,224957209,265412274 Dl.O(d2) = 219883404,216649118,212747456,207975797,202188572,195305329,187255693,273144160,155930024,261234988,116150280,102093378,88107111,74495587,61714150,50235018,40214723,40214722,268444589,17676025,17676024,24026540,31528780,257083733,50235072,258275543,74495638,88107150,260136745,130058725,143389378,155930086,167542099,263251681,195305366,202188613,207975820,212747470,216649135,219883429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5548082, s2 = 14300731, dlinesl.size( ) = 2 s1 = 5548082, s2 = 14300731, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5548082, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 7403385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8880826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8880826, s2 = 15231821, int(edited[s2]) = 0 s1 = 8880826, s2 = 15231821, d1 = 26, d2 = 35 Dl.O(d1) = 232331319,231017797,229552690 Dl.O(d2) = 114059488,100032534,86069123,83830830,70305684,257382465,27959842,23189417,23189416,30608754,257013247,269368341,40929884,32152478,32152477,24946235,18431635,18431636,24946237,28760833,28760832,32152552,24569061,18128465,12854583,8741357,8741356,255219129,22390535,16231433,11283964,254777299,4734490,254238663,941963,941964,1655532,1085574,1085576,254231519,1595612,907098,511599,511600,907233,1595870,1085555,609588,609587,1085553,1654927,942391,531526,531525,254086619,90860,50046,50047,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086695,1903679,1881536,1073403,1073400,1076320,1080696,1080697,1893575,1912302,1893964,1080954,1080953,1655323,1655322,942184,531420,531417,942175,1078246,1077548,605819,337118,337117,605811,606901,1080546,1078710,1078709,1070199,254104429,184227,100925,100926,184229,334982,601084,601085,1069560,254132995,337330,337329,606166,1079221,1069227,1069228,1874355,2189130,3659070,5861185,5254311,3236479,3236478,5250505,8180943,7307766,5241132,3200034,2788686,2788684,4629264,4629267,4626435,2786447,2786448,4626438,5271600,3226035,3226036,5271601,8198738,5269142,5269141,5269150,4970971,3002508,1743726,990843,557296,311608,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3228876,3228881,2774505,2774504,4608654,5235391,3195612,3195610,3208122,2775803,2775804,2786355,2786354,4626343,7325579,7319644,4621329,2782809,2782810,4621333,3207693,1878546,1071708,1071707,1878541,3207684,5250041,3207558,3207559,4616098,2779672,1612509,918187,918186,1614247,2782940,3185192,1864020,1614677,1614506,1614507,2783381,4620751,3208156,3208155,5250815,8181231,5274639,3228861,3228863,2779457,2779460,4615753,5236988,4623086,4623083,2783902,1614769,1614771,1880440,1880437,2783417,4622307,5251946,7321331,7326250,7824917,7824920,5249968,3207491,1878419,1071644,602168,335352,184397,184400,335362,602189,1071692,1878509,2784229,2783510,2783512,3274985,1926331,1926330,3274980,2999136,1741794,1741796,2999142,4965655,7823896,5252129,4627082,3209644,3209642,4624478,4624456,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,4612862,4612864,3199949,1873398,1873400,1611110,1611111,2777202,3207413,1878381,1878383,3207419,3207595,3207598,5250104,7319534,11044668,8223450,8223452,11050883,12167245,12167244,12137844,12137843,12163326,12163325,267984785,7826620,8180066,8167612,5237203,3196962,3196961,5237199,8167609,12137679,15917559,15917560,17237416,17263111,12142601,8171920,8171921,254832673,5223042,5223043,8151881,8322729,12321619,17476476,23544113,17235986,14963385,11721850,8146758,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,1926446,1926448,3275219,5328192,5328191,5241723,3200526,1873801,1068872,1068870,1873791,3200509,5236842,8167126,7490719,7490718,8258140,8258138,12230592,17360487,17327098,17327096,255547599,12165759,12165758,254834011,254834013,8214537,8214558,8214560,12183542,17306622,12183979,8215080,5285595,3237912,1899585,1899586,1084359,609006,609007,1084364,1899740,254394501,1899493,1899494,3237798,1918508,1095890,615214,615216,1095894,1918514,3244355,1904152,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889266,1889271,1090297,612166,612167,1090306,1903426,1903427,1908690,1887374,1887372,1890194,1078571,1078569,1890187,1921792,1097870,1097871,1885567,1085657,609635,339164,339161,609627,601325,334927,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,601435,1070257,1091629,612878,340851,187061,187059,340845,612866,1091598,1911456,254396095,5316489,254586201,5316492,8244826,12175816,12165330,8196621,5266604,3221417,3221418,254581681,254840729,8248955,8221715,5291774,5291773,8221712,10579061,15316831,12134906,8165004,5234863,3195205,3195206,4384636,2626477,2626478,3249089,1907516,1089096,1089095,1907513,3249086,5298205,4749801,4620905,4620908,3218593,3218594,5263370,7328682,5274893,3229092,1893547,1080682,606965,606966,1080687,1893557,3229101,4971226,4971227,5250380,4624263,4624262,5251239,7831454,7520921,7317890,4619797,2781773,1905791,1611527,1611526,2777869,4613280,2782007,2782011,4605241,3174438,1858326,1858325,3174433,4610183,2865848,2865846,4755089,7520961,8176598,12146701,8187433,5256955,5256954,8121700,8121701,11044123,11720315,11720316,11042962,7317556,4619506,4619505,3250698,3250699,3186781,3186782,5223956,7322423,4623619,2784286,2784285,4616920,4616919,4619603,4619604,7317679,7315876,5252354,4618599,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,12157014,11038459,7312902,254577409,254577411,5222657,3185960,1864430,1063642,597870,333182,183382,183383,333186,597878,1063662,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244729,8175147,5464163,3360062,3360061,5464158,5341240,3282964,1930791,1103075,1103074,1930786,3282951,5341216,8278175,8183828,5253429,5253430,4615156,4615154,4966036,4966035,3204765,1876626,1070575,1070574,1876622,254391051,5303913,5303914,8232019,11482665,8455753,5463109,3359168,1974859,1974858,3359165,5461700,3358016,3358017,5461702,8454406,7817818,7817817,254407911,1974544,1127241,632110,632111,1127242,1974545,267830627,2854010,4735943,5267701,254265941,1910469,3253067,5294335,3245507,2697292,2697291,3219447,1886540,1076361,604609,336562,336563,604612,1076367,1886546,1909402,3251601,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093875,614118,614120,1093915,1915357,1094209,1094212,1915863,3216889,3216892,5261650,8192205,8192169,5261593,3216852,1884703,1075252,604057,604059,1075262,1884717,3216874,3232353,3250974,1908987,1090055,1087342,1087343,1904627,3199511,3199510,1919606,1096555,1096557,1089740,1089735,1908510,3250342,3250181,1908358,1089630,611787,340286,340287,340330,340329,254133713,1908548,3250389,5276003,3230231,1894356,1894355,3230228,5275997,8204718,12172462,12161142,8191342,5260658,3215959,3215960,5260660,5272146,3226583,1891690,1079501,606314,337402,337403,606297,1079465,1891625,3174626,3174627,1920998,1920997,2771842,4605712,7301298,11027076,11052119,7327651,4628527,2788186,2775058,1609753,1609754,2774861,1894138,1609696,1609695,2774951,3224988,1890557,1078818,605910,605912,1078822,1890565,2772326,1607901,1607900,2772323,1676761,953966,953965,1676756,2889011,4792746,7577448,5303077,5258111,5258112,7575638,5363824,5316464,5316465,8244810,255042448,7574168,7472337,4722311,2845178,1650656,1650657,2845181,3204977,4788558,2886319,2886320,4788563,5090319,4750745,2863201,1661814,1661813,2863197,4750733,3205081,3205079,5243685,3202319,1875035,1069648,601139,601140,1069668,1676914,954056,537919,301560,301558,537886,945453,945451,1661695,254356681,256953073,59681067,72416176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8880826, s2 = 15231821, dlinesl.size( ) = 24 s1 = 8796837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5607294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5549205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5549205, s2 = 13881608, int(edited[s2]) = 0 s1 = 5549205, s2 = 13881608, d1 = 0, d2 = 3 Dl.O(d1) = 227942541 Dl.O(d2) = 235589798,236482703,237297185,237345184,236536240,235650501,234678437,233612828,266096299,231146008,231146009,232441382,232441380,231146007,229701098,228072709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5549205, s2 = 13881608, dlinesl.size( ) = 2 s1 = 5549205, s2 = 13881608, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5549205, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8833239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10337746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8890438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8890438, s2 = 4722214, int(edited[s2]) = 0 s1 = 8890438, s2 = 4722214, d1 = 65, d2 = 0 Dl.O(d1) = 274624222 Dl.O(d2) = 192539644,184085090,262621423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8890438, s2 = 4722214, dlinesl.size( ) = 80 s1 = 14782233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14782233, s2 = 7333116, int(edited[s2]) = 0 s1 = 14782233, s2 = 7333116, d1 = 6, d2 = 6 Dl.O(d1) = 206526452,211517319,215595620,218966467,221811488,265547967,228210506,229828580,266092074,232392164,231089614,231089613,229637294,228002220,226140597,226140598,228002221,228002224,265529279,221532718 Dl.O(d2) = 206526452,211517319,215595620,218966467,221811488,265547967,228210506,229828580,266092074,232392164,231089614,231089613,229637294,228002220,226140597,226140598,228002221,228002224,265529279,221532718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14782233, s2 = 7333116, dlinesl.size( ) = 2 s1 = 14782233, s2 = 7333116, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14782233, Dl.E( ) = 8, 8.82e-06 seconds used appending s1 = 7394884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7394884, s2 = 7317795, int(edited[s2]) = 0 s1 = 7394884, s2 = 7317795, d1 = 14, d2 = 8 Dl.O(d1) = 266206306,228020069 Dl.O(d2) = 265354204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7394884, s2 = 7317795, dlinesl.size( ) = 2 s1 = 7394884, s2 = 7317795, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7394884, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 5610575, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13756415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7333431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5175773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5553319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5553319, s2 = 15047836, int(edited[s2]) = 0 s1 = 5553319, s2 = 15047836, d1 = 0, d2 = 46 Dl.O(d1) = 228062636 Dl.O(d2) = 246860483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5553319, s2 = 15047836, dlinesl.size( ) = 32 s1 = 9289953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8819893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8871367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5612016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5612524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5612524, s2 = 5554787, int(edited[s2]) = 0 s1 = 5612524, s2 = 5554787, d1 = 70, d2 = 156 Dl.O(d1) = 229730568 Dl.O(d2) = 228102251,226247122,224116503 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 10261719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7283463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5866958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5866958, s2 = 12820381, int(edited[s2]) = 0 s1 = 5866958, s2 = 12820381, d1 = 26, d2 = 21 Dl.O(d1) = 236283504,274693229,229787137,231227867,229787119,229787118,266103501,233687758,234749365,234749372,233687773,232520007,231227874,274509587,224191688,221742758,221742759,224191655,221742753,221742752,224191666,226315133,228164172 Dl.O(d2) = 261705520,143673900,140570232,272547815,175798463,178242886,167798262,167798263,178242889,263139168,262759470,143673901,261864801,156203107,156203108,167798258,261705520,143673900,140570232,272547815,175798463,185308472,178242887,167798262,167798263,178242889,178242882,167798259,167798260,178242884,178242885,272853764,165068658,153251468,140570232,259360662,258111888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5866958, s2 = 12820381, dlinesl.size( ) = 2 s1 = 5866958, s2 = 12820381, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5866958, Dl.E( ) = 28, 1.5e-05 seconds used appending s1 = 7334258, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7463397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7463397, s2 = 10345194, int(edited[s2]) = 0 s1 = 7463397, s2 = 10345194, d1 = 40, d2 = 51 Dl.O(d1) = 266902556 Dl.O(d2) = 11779096,16843346,23099543,18684297,18684295,255216508,21389185,255170194,23099612,23099611,30515510,39112677,30515421,23099544,23099545,30515423,30515469,25448226,18850746,18850745,14349634,14349633,20032863,26917332,34998746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7463397, s2 = 10345194, dlinesl.size( ) = 54 s1 = 7139253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8890634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9044360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9044360, s2 = 11510208, int(edited[s2]) = 0 s1 = 9044360, s2 = 11510208, d1 = 44, d2 = 5 Dl.O(d1) = 273335331,263886586,265547145 Dl.O(d2) = 223990303,221522221,218642690,215221382,211067733,264710181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9044360, s2 = 11510208, dlinesl.size( ) = 30 s1 = 8835451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8835451, s2 = 3793124, int(edited[s2]) = 0 s1 = 8835451, s2 = 3793124, d1 = 34, d2 = 0 Dl.O(d1) = 140201760,152892890,164724819,175478830,185018868,193349489,200498745,206536101,211525548,215602324,218971730,218971728,218971727,221815487,224255087,226370353,228212544,229830319,229830318,231267440,232556625,231991899,266053751,229123028 Dl.O(d2) = 133605994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8835451, s2 = 3793124, dlinesl.size( ) = 14 s1 = 5560112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7356894, s2 = 11345784, int(edited[s2]) = 0 s1 = 7356894, s2 = 11345784, d1 = 37, d2 = 39 Dl.O(d1) = 265793456 Dl.O(d2) = 270415121,260170339,130617830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7356894, s2 = 11345784, dlinesl.size( ) = 12 s1 = 7374680, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13879161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5562862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9600431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16386966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5621355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5621355, s2 = 14092749, int(edited[s2]) = 0 s1 = 5621355, s2 = 14092749, d1 = 109, d2 = 173 Dl.O(d1) = 229944468 Dl.O(d2) = 257687724,52341964,42003011,42003010,269495931,91258767,105480937,119720095,133594382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5621355, s2 = 14092749, dlinesl.size( ) = 8 s1 = 9677088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9049890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9049890, s2 = 15092211, int(edited[s2]) = 0 s1 = 9049890, s2 = 15092211, d1 = 8, d2 = 16 Dl.O(d1) = 273863257,265561489 Dl.O(d2) = 235818382,236689336,237483188,238203921,266796263,240020911,240537993,267046733,267003816,266796264,237483186,266666083,238860385,266854343,240020916,240020915,266957492,241017739,274877372,240537995,266907794,274773011,266854340,238203926,237483189,236689339,274749859,236689333,235818379,266513295,274665854,234861822,274706342,266265108,265061378,178640065,262658322,144425483,271924343,255834006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9049890, s2 = 15092211, dlinesl.size( ) = 12 s1 = 8868466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8868466, s2 = 9100734, int(edited[s2]) = 0 s1 = 8868466, s2 = 9100734, d1 = 106, d2 = 128 Dl.O(d1) = 264758959,219202451,222016244,224432422,224432423,226530873 Dl.O(d2) = 260193738,105544964,268705878,33110603,42059802,38301172,29733534,255393418,42003362,37199546,28676812,28676814,22376105,22376102,22376100,17483081,12327004,8327283,5374417,5374418,8327285,12327010,17483091,23818076,29733613,29733612,22376135,16220297,11275758,11275757,16220293,16220288,16220287,22376119,25375256,18790286,13383565,13383567,255659637,31305138,31305137,37199545,29733541,22376072,16220263,11275741,11275742,16220264,18519150,13158089,13158090,18519153,254814716,23818075,31305133,38301234,38301233,256100270,28676803,28676804,29733552,29733553,38301183,42059808,33110613,29733571,29733572,255966958,22376085,22376086,25057226,18519146,18519144,25057224,32748747,34223601,26349518,19620330,14060959,9670377,6360407,3990966,3990965,6360404,9670368,14060946,19620303,26349474,34223587,43321590,35329247,34223603,26349490,19620315,19620316,26349492,34223604,43321599,41634526,32727575,32727574,41634522,41793014,52107077,58473268,52107098,41793033,41793032,52107095,63926714,77039443,71368609,63749791,59463129,48072500,38159778,29593422,22244698,22244697,29593416,38159771,48072490,59463120,72200625,76856760,63749789,51938190,51938189,63749788,63749774,51938180,51938179,268732410,40918775,32141678,32141677,40918788,41793026,32871924,25164281,18606314,13224122,13224123,18606317,25164286,32871932,41793037,52107093,49386233,49386234,51938168,58631996,63926696,59463126,48072498,48072499,59463123,72200631,255746442,81257407,72200623,72200621,67671051,55331393,44485356,44485357,55331395,255746440,254976952,20130606,20130607,27022291,20130727,20130726,27022391,35108359,44485318,254215010,55331369,44485343,44485344,55331371,52347716,42008526,42008527,52347718,64198011,67671081,55331432,44485386,44485385,255746444,35108275,44485261,40631493,31916122,31916121,40631488,35108393,27022414,20130742,14438003,9931683,9931682,14437999,20130735,27022403,35108373,40631507,31916131,24383766,268121861,8661925,8661926,12745863,17984298,24383769,254976942,50690408,62210105,75033048,64198020,52347725,42008532,33064510,25335130,25335131,33064513,256746919,52347713,52347728,55331431,67671080,81137237,88683754,75033042,62210097,50690394,50690396,50690393,50690392,62210094,50690383,44485376,35108400,27022417,27022419,35108402,40631504,40631505,44485275,44485277,256221462,27022420,35108404,256337984,31886540,31886542,28800377,21534145,21534144,28800375,37338375,28852078,21580019,21580020,28852080,37392328,255043196,60154602,256337990,84997739,71424717,58691962,47301518,37392312,37392313,47301521,58691966,71424718,81137233,84953055,98878603,257459530,92590630,78543103,78543102,71424757,71424758,84997742,71424721,71424722,80359472,80359471,72734769,72734768,71910756,59172845,47774000,37850944,29283025,29283026,37850946,47774004,59172855,71910772,80359417,66933481,66933480,74058532,74058534,87662514,80359459,80359426,80359427,94413293,258694340,85495790,85495789,269613326,66933502,54676779,43934024,43851946,34580328,256720787,54596369,66855172,71910754,59172844,269801889,47774007,37850948,29283028,29283029,37850952,257493527,71910792,64388177,64388178,77556385,91487151,258949562,71910783,71910782,80359422,66933484,66933485,80359425,94413292,108700225,257883410,268812118,54676788,60689364,60689365,71377531,257456331,37338420,28800413,256876281,21534146,21534147,21534131,21534085,21534084,28800297,28791907,21527242,21527243,15519658,15519657,21534163,28800405,28791883,21527227,15514643,15514644,10730081,7089605,4463919,4463920,7089607,4465245,4465246,7091789,7091788,7091787,10733462,10733503,7091815,4465255,2682676,2682675,4465253,7091814,10733501,15519653,21534148,28800379,28800384,28800385,30548835,39146690,37328953,37328952,37338316,37338315,47248223,47248298,47248235,37338327 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7372301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5436047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7420120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5623669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14783237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14783237, s2 = 5567042, int(edited[s2]) = 0 s1 = 14783237, s2 = 5567042, d1 = 0, d2 = 0 Dl.O(d1) = 266121440,266000061,228405964 Dl.O(d2) = 266121440,266000061,228405964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14783237, s2 = 5567042, dlinesl.size( ) = 2 s1 = 14783237, s2 = 5567042, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14783237, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7375860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5624907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5568001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5568076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5568076, s2 = 7438080, int(edited[s2]) = 0 s1 = 5568076, s2 = 7438080, d1 = 103, d2 = 117 Dl.O(d1) = 228430498,230028629,231446430 Dl.O(d2) = 240753355,240252570,266654578,238491782,237797767,237034232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5568076, s2 = 7438080, dlinesl.size( ) = 46 s1 = 13878645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13862021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5568860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7338522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7338522, s2 = 7024836, int(edited[s2]) = 0 s1 = 7338522, s2 = 7024836, d1 = 85, d2 = 94 Dl.O(d1) = 265586297,266526455 Dl.O(d2) = 264236868,261753137,261524156 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7376457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7337493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5626945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7376490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5627620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5627620, s2 = 14166181, int(edited[s2]) = 0 s1 = 5627620, s2 = 14166181, d1 = 3, d2 = 0 Dl.O(d1) = 230089579 Dl.O(d2) = 216132548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5627620, s2 = 14166181, dlinesl.size( ) = 2 s1 = 5627620, s2 = 14166181, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5627620, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5510232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14774887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14774887, s2 = 7733119, int(edited[s2]) = 0 s1 = 14774887, s2 = 7733119, d1 = 11, d2 = 63 Dl.O(d1) = 229992257 Dl.O(d2) = 273992932,260603506 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7338399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10357730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357730, s2 = 15624553, int(edited[s2]) = 0 s1 = 10357730, s2 = 15624553, d1 = 139, d2 = 148 Dl.O(d1) = 260857855,105472146,260261961,260857853,261962391 Dl.O(d2) = 175168829,164379314,261486204,152515196,139797789,126424485,112555199,259080134,260325978,164379303,164379307,152515186,152515188,164379308,260325980,126424487,112555200,98561638,84638371,71075389,71075388,84638369,98561636,112555196,126424480,139797779,152515188,164379308,164379325,164379319,152515196,152515197,261486206,175168826,261486202,164379308,164379325,164379319,152515196,152515197,261486206,262513898,175168838,164379326,152515204,139797796,259080136,98561638,84638371,71075389,71075388,257834528,112555197,126424482,139797785,152515194,164379316,164379329,152515204,139797796,259080136,98561638,84638371,71075389,256166366,37104106,29715616,22359724,268404347,28289748,256296019 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7767506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7767506, s2 = 10341134, int(edited[s2]) = 0 s1 = 7767506, s2 = 10341134, d1 = 28, d2 = 54 Dl.O(d1) = 274649780 Dl.O(d2) = 262470428,142258368,128907167,115005080,271836231,142258366,154891629,166591005,154891624,154891623,166591002,274004561,264056138,262930612,261435376,60610749,49210416,256639804,17007238,11920579,7974912,5074934,3077519,3077518,5074931,4992419,3016127,3016129,4992422,7865058,10476313,10476312,15188111,21138911,28352927,36850468,39951285,31276381,31276382,36850488,28352935,28352937,31874612,255262556,255262554,46733227,36850545,36850546,28353175,23270276,21139124,15188272,15188271,21139122,256299597,33215305,25468161,18867954,13444590,13444591,18867957,25468164,25469168,25469167,25471032,25471031,25471351,18871045,18871044,18868163,13444745,254650839,6018826,9193662,13444748,18868168,255665500,18869035,13445380,13445379,17697849,17697848,24051733,23704375,23704374,254907042,12248469,17381696,18868025,255155790,25471249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7767506, s2 = 10341134, dlinesl.size( ) = 38 s1 = 7323584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7323584, s2 = 7438996, int(edited[s2]) = 0 s1 = 7323584, s2 = 7438996, d1 = 111, d2 = 88 Dl.O(d1) = 265417267,226799830,228598264,230179881,231583960,232842855,266744575 Dl.O(d2) = 266663662,274631730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7338761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8885144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7338781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7338781, s2 = 14114493, int(edited[s2]) = 0 s1 = 7338781, s2 = 14114493, d1 = 31, d2 = 49 Dl.O(d1) = 265589033 Dl.O(d2) = 213887902,209420114,203975444,197448207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7338781, s2 = 14114493, dlinesl.size( ) = 36 s1 = 5575223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5631996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5575647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660920, s2 = 10376418, int(edited[s2]) = 0 s1 = 11660920, s2 = 10376418, d1 = 21, d2 = 43 Dl.O(d1) = 60838189,49436617,39505753,39505752,49436616,60838186,73587803,259472421,101210901,260687267,129218052,142589617,155227610,166913904,263220473 Dl.O(d2) = 263869406,213477575,208893221,263869402,208893222,208893223,208893228,273854460,217232826,213477578,208893230,203316735,203316733,262672738,179938992,188901768,196667518,203316728,208893223,208893228,273854460,217232826,213477574,208893221,203316727,203316728,208893223,208893228,264478028,220358841,220358840,223011285,223011287,223011286,265181300,229020797,230550945,231912960,233139856,234249547,235258802,236178271,237016738,237783152,238479572,239116913,239702475,274830322,241638743,242035660,242401600,242741473,243057774,243354744,243632856,243891647,244132663,244356733,244564223,267321914,245106614,245265101,245413712,245553995,245685446,267451740,246032346,246134127,246231316,246322565,246408457,246489503,246566852,246640112,246709099,267547776,246604116,246528740,246449558,246365695,246276832,246181985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660920, s2 = 10376418, dlinesl.size( ) = 34 s1 = 9282402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5576537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5576556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8852699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5633418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7339375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7339391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9631734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9631734, s2 = 11599495, int(edited[s2]) = 0 s1 = 9631734, s2 = 11599495, d1 = 0, d2 = 0 Dl.O(d1) = 239582272,274798947,237640426,236862552,236006671,235065269 Dl.O(d2) = 239582272,274798947,237640426,236862552,236006671,235065269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9631734, s2 = 11599495, dlinesl.size( ) = 2 s1 = 9631734, s2 = 11599495, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9631734, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 5577507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7746929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5635035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5635035, s2 = 6817819, int(edited[s2]) = 0 s1 = 5635035, s2 = 6817819, d1 = 142, d2 = 134 Dl.O(d1) = 230284052,265895778,226939400 Dl.O(d2) = 258823414,50065046,40045713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5635035, s2 = 6817819, dlinesl.size( ) = 2 s1 = 5635035, s2 = 6817819, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5635035, Dl.E( ) = 144, 4.01e-05 seconds used appending s1 = 5579401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9666116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9666116, s2 = 6682324, int(edited[s2]) = 0 s1 = 9666116, s2 = 6682324, d1 = 37, d2 = 17 Dl.O(d1) = 212730194,216633174,265249803,224944640,226981580,228757489,228757490 Dl.O(d2) = 261219485,114488894,100464277,86506106,72909496,60172466,257287132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9666116, s2 = 6682324, dlinesl.size( ) = 28 s1 = 8815578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8815578, s2 = 12637675, int(edited[s2]) = 0 s1 = 8815578, s2 = 12637675, d1 = 214, d2 = 264 Dl.O(d1) = 266179516,228792871,265486078,222648989,222648990,265761777,230354568 Dl.O(d2) = 226469654,226469653,224364254,221939900,219116372,219116373,221939901,224364255,226469653,224364254,221939900,219116372,215771777,211727326 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5582023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5583009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5583009, s2 = 16279318, int(edited[s2]) = 0 s1 = 5583009, s2 = 16279318, d1 = 14, d2 = 1 Dl.O(d1) = 228831852 Dl.O(d2) = 43368651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5583009, s2 = 16279318, dlinesl.size( ) = 2 s1 = 5583009, s2 = 16279318, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5583009, Dl.E( ) = 34, 8.11e-06 seconds used appending s1 = 7340894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7340894, s2 = 13405604, int(edited[s2]) = 0 s1 = 7340894, s2 = 13405604, d1 = 33, d2 = 54 Dl.O(d1) = 265612446 Dl.O(d2) = 24297283,31812629,28371837,21154836,19645196,19645198,16880232,11810061,11810060,16880230,268422301,23140569,23140568,30557802,254284676,22863217,16636154,16636153,22863215,254108486,12686674,12686673,8619091,5603442,3479032,3479031,5603439,8619085,12688262,12698748,8627321,8627323,8618465,8618467,12687671,16880377,22863630,16636490,11604957,8618226,8618225,8083796,8083794,12024028,17110477,15971719,15971717,21205765,24290450,22078620,22077063,22077064,29407795,22078994,15973259,15199365,15199363,16882348,16880386,16880388,22108315,29408923,22078369,16251898,11298817,11298816,12696792,12696791,254090910,17908177,16880154,16880155,23140336,29782601,22416992,16251698,254140278,29782602,254422256,16636861,22864037,18760262,18760260,16637792,16637793,22864465,18760059,18760060,25340067,30260450,22864506,16637819,16637821,255887111,26151920,23327665,17061671,11970144,8014067,7725800,4890175,2946896,1709106,971542,547187,306434,306435,547192,971552,1709124,2946929,4890232,7725901,11605343,11605342,16636948,17906036,12685179,8616356,5600932,3476717,3476719,5600941,5974584,3736360,2237012,2237011,3736354,5974575,9129816,10924768,10924769,15772205,21841842,29150027,37710279,38844191,30260529,30260528,38844189,48763713,60157455,48763740,38844207,30260537,22864576,22864577,17176886,254829737,5202914,5202913,8121276,12077331,17176885,23454353,30886367,30696556,254379376,11937594,7989363,5085080,3084727,3084728,5085082,7989365,11937597,17022234,23281162,30696562,23281231,22324290,254329596,38240006,48149295,50337977,49422867,39492787,30886352,30886353,30886365,23454350,23454351,30696543,23281139,17022216,11937586,11937587,16881692,16881691,21163548,21163549,255019576,255813160,28290799,28290800,36787316,46673418,257414075,269306609,40074762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7340894, s2 = 13405604, dlinesl.size( ) = 2 s1 = 7340894, s2 = 13405604, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7340894, Dl.E( ) = 56, 1.69e-05 seconds used appending s1 = 5222375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5222375, s2 = 15032786, int(edited[s2]) = 0 s1 = 5222375, s2 = 15032786, d1 = 13, d2 = 19 Dl.O(d1) = 216769063,219989391,222707089,264776682,228835612 Dl.O(d2) = 236950021,236103221,235172950,266162636,231784943,230401685,228844979,265458012,222722095,274030450,202421172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5222375, s2 = 15032786, dlinesl.size( ) = 18 s1 = 8903036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5456011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5583975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8823972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8886736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10274279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5524918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7766102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8853404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5586463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8866553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7341903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7760934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5642993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8812870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7366043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7366043, s2 = 5138122, int(edited[s2]) = 0 s1 = 7366043, s2 = 5138122, d1 = 33, d2 = 3 Dl.O(d1) = 265893707 Dl.O(d2) = 213425075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7366043, s2 = 5138122, dlinesl.size( ) = 30 s1 = 8855942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8855942, s2 = 11527720, int(edited[s2]) = 0 s1 = 8855942, s2 = 11527720, d1 = 37, d2 = 0 Dl.O(d1) = 265293814,208924312,264612049 Dl.O(d2) = 146050101,158423277,169793875,179978431,264035617,208924313,274377514,225305840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7401171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8904734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8904734, s2 = 7294406, int(edited[s2]) = 0 s1 = 8904734, s2 = 7294406, d1 = 40, d2 = 24 Dl.O(d1) = 266466060,234278514,266167568 Dl.O(d2) = 265082856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8904734, s2 = 7294406, dlinesl.size( ) = 40 s1 = 5644968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5645328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5645328, s2 = 593633, int(edited[s2]) = 0 s1 = 5645328, s2 = 593633, d1 = 69, d2 = 79 Dl.O(d1) = 230605572 Dl.O(d2) = 15363947,15363949,20301951,14569349,14569348,18049033,24468984,26645772,19832432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5645328, s2 = 593633, dlinesl.size( ) = 60 s1 = 9734030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9734030, s2 = 7312082, int(edited[s2]) = 0 s1 = 9734030, s2 = 7312082, d1 = 18, d2 = 10 Dl.O(d1) = 266632298,265924309 Dl.O(d2) = 265286367,217446861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9734030, s2 = 7312082, dlinesl.size( ) = 12 s1 = 7342777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5590774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5590774, s2 = 5914828, int(edited[s2]) = 0 s1 = 5590774, s2 = 5914828, d1 = 1, d2 = 9 Dl.O(d1) = 229105892 Dl.O(d2) = 237442312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5590774, s2 = 5914828, dlinesl.size( ) = 22 s1 = 5591160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5646640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15050896, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5592160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5533662, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10272683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10272683, s2 = 13859886, int(edited[s2]) = 0 s1 = 10272683, s2 = 13859886, d1 = 6, d2 = 6 Dl.O(d1) = 230699026,229188245,227478567,225523636,225523635,265795119,229188248,265645316,223276323,220676911,220676905,220676906,223276314,265644731,227478564,229188243,227478566,225523636,225523635,265932893,227478566,225523636,225523635,265795119,229188248,265645316,223276323,220676911,220676905,220676906,223276314,265644731,225523633,223276317,223276315,225523632,227478558,227478559,229188238,265795714,225523630,223276312,223276314,265644731,225523633,223276317,220676908,220676909,223276318,220676911,220676905,220676906,223276314,265644731,225523633,223276317,223276315,225523632,227478558,227478559,229188238,265795714,227478560,227478561,229188240,230699021,229188237,229188238,265795714,225523630,223276312,223276314,265644729,265932891,265933452,227478568,227478569,265932895,229188241,227478562,227478558,227478559,229188238,230699023,265933452,227478568,225523637,223276323,220676911,220676905,220676906,223276314,265644731,225523633,223276317,220676908,220676909,223276318,220676911,217621038,213959028 Dl.O(d2) = 230699026,229188245,227478567,225523636,225523635,265795119,229188248,265645316,223276323,220676911,220676905,220676906,223276314,265644731,227478564,229188243,227478566,225523636,225523635,265932893,227478566,225523636,225523635,265795119,229188248,265645316,223276323,220676911,220676905,220676906,223276314,265644731,225523633,223276317,223276315,225523632,227478558,227478559,229188238,265795714,225523630,223276312,223276314,265644731,225523633,223276317,220676908,220676909,223276318,220676911,220676905,220676906,223276314,265644731,225523633,223276317,223276315,225523632,227478558,227478559,229188238,265795714,227478560,227478561,229188240,230699021,229188237,229188238,265795714,225523630,223276312,223276314,265644729,265932891,265933452,227478568,227478569,265932895,229188241,227478562,227478558,227478559,229188238,230699023,265933452,227478568,225523637,223276323,220676911,220676905,220676906,223276314,265644731,225523633,223276317,220676908,220676909,223276318,220676911,217621038,213959028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10272683, s2 = 13859886, dlinesl.size( ) = 2 s1 = 10272683, s2 = 13859886, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10272683, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5594320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7343738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7343738, s2 = 11553950, int(edited[s2]) = 0 s1 = 7343738, s2 = 11553950, d1 = 28, d2 = 33 Dl.O(d1) = 265645367,265642346 Dl.O(d2) = 266881975,266933206,240784552,266906170,236268669,266327708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7343738, s2 = 11553950, dlinesl.size( ) = 36 s1 = 11661018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5650076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5650076, s2 = 5324379, int(edited[s2]) = 0 s1 = 5650076, s2 = 5324379, d1 = 41, d2 = 39 Dl.O(d1) = 230727641,230727640,232071673,232071669,232071668,233282317 Dl.O(d2) = 223317204,220720938,217669684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5650076, s2 = 5324379, dlinesl.size( ) = 34 s1 = 16244671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16244671, s2 = 5650425, int(edited[s2]) = 0 s1 = 16244671, s2 = 5650425, d1 = 1, d2 = 11 Dl.O(d1) = 109545591 Dl.O(d2) = 197719977,204206414,209618538,214059688,217705715,220749091,223340206,225580461,227529151,229233181,230739549,265757448,234384910,235380007,236287149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16244671, s2 = 5650425, dlinesl.size( ) = 2 s1 = 16244671, s2 = 5650425, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 16244671, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7234384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234384, s2 = 5988645, int(edited[s2]) = 0 s1 = 7234384, s2 = 5988645, d1 = 21, d2 = 54 Dl.O(d1) = 264351322,265651155 Dl.O(d2) = 239146580,266698761,237819115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234384, s2 = 5988645, dlinesl.size( ) = 54 s1 = 7392427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8912932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5628711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5652251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7048166, s2 = 8082307, int(edited[s2]) = 0 s1 = 7048166, s2 = 8082307, d1 = 147, d2 = 149 Dl.O(d1) = 261820909,167165081,177664603,186945962,264276721,266251141,229302242,265942495,227609297,225674709,223452762,220885395,264925268,214269533,274242205,223452761,220885407,217873561,214269537,209880010,204525289,204525291,207769933,274010283,219741167,220885391,265493375,265596071,222487506,265034463,212567465,212567467,216488425,219741178,216488444,214269541,264896169,220885409,223452778,225674720,225674715,223452771,220885402,217873556,214269535,214269534,217873554,220885399,223452768,225674711,224845734,222487502,219741170,219741172,219741165,216488414 Dl.O(d2) = 60232881,256994803,30331649,256994805,60232882,72969986,86568117,273172012,166179914,176799588,263581425,263349708,142006463,128643344,114742193,259034834,73110296,60370851,48974930,39053170,30463523,255263472,11754071,7848073,4981800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7048166, s2 = 8082307, dlinesl.size( ) = 20 s1 = 5598463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7373133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7306033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5599161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5653493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5540738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5599854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8784182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5602400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5602400, s2 = 11545710, int(edited[s2]) = 0 s1 = 5602400, s2 = 11545710, d1 = 15, d2 = 0 Dl.O(d1) = 229441990,230916682,232237581 Dl.O(d2) = 227029902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5602400, s2 = 11545710, dlinesl.size( ) = 2 s1 = 5602400, s2 = 11545710, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5602400, Dl.E( ) = 22, 2.5e-05 seconds used appending s1 = 8887232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8869721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7755195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7765680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5657778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10172275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8843418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8843418, s2 = 5604141, int(edited[s2]) = 0 s1 = 8843418, s2 = 5604141, d1 = 9, d2 = 9 Dl.O(d1) = 265930216,230983399,230983398,229513993,229483755,227827487,227827488,227859787,265516089,223818343,225976674,265792098,230955639,229483745,227827478,265294662,229513995,227859790,265792098,230955639,229483748,229483749,230955642,232275016,232300198,230983399,230983398,229513993,229483755,227827487,227827488,227859787,227859786,229483744,227827484,227827483,229483752,230955644,232275019,233466327,234548063,265930218,230955650,229483761,227827493,227827492,229483758,230955641,229483746,227827480,225941339,225941340,227827483,229483752,230955644,232275019,233466327,234548063,265930218,230955650,229483761,227827493,227827492,229483758,230955641,229483746,229483747,230955642,265792102 Dl.O(d2) = 265930216,230983399,230983398,229513993,229483755,227827487,227827488,227859787,265516089,223818343,225976674,265792098,230955639,229483745,227827478,265294662,229513995,227859790,265792098,230955639,229483748,229483749,230955642,232275016,232300198,230983399,230983398,229513993,229483755,227827487,227827488,227859787,227859786,229483744,227827484,227827483,229483752,230955644,232275019,233466327,234548063,265930218,230955650,229483761,227827493,227827492,229483758,230955641,229483746,227827480,225941339,225941340,227827483,229483752,230955644,232275019,233466327,234548063,265930218,230955650,229483761,227827493,227827492,229483758,230955641,229483746,229483747,230955642,265792102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8843418, s2 = 5604141, dlinesl.size( ) = 2 s1 = 8843418, s2 = 5604141, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8843418, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 13871881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13840249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5906936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5906936, s2 = 14773376, int(edited[s2]) = 0 s1 = 5906936, s2 = 14773376, d1 = 77, d2 = 75 Dl.O(d1) = 237254180,266404990,274548510 Dl.O(d2) = 274261192,218394546,214931729,210722231,263828478,263063140,258629440,20187376,20187378,256752297 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5658644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5659521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5659521, s2 = 7243247, int(edited[s2]) = 0 s1 = 5659521, s2 = 7243247, d1 = 46, d2 = 57 Dl.O(d1) = 230988669 Dl.O(d2) = 264468207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5659521, s2 = 7243247, dlinesl.size( ) = 24 s1 = 7346824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5606706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5607191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7234029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234029, s2 = 11797009, int(edited[s2]) = 0 s1 = 7234029, s2 = 11797009, d1 = 36, d2 = 59 Dl.O(d1) = 264347430,227948981,229589044 Dl.O(d2) = 258114078,257502790,256380564,15997660,11105871,7365557,4652924,4652926,4668023,2812186,2812187,4668044,7341643,11059780,7333420,4632592,2790753,2790754,3708579,3708578,5931119,9070231,13287157,267929283,3729077,2232597,2232598,3729080,5963458,9114512,13340218,255584348,15959398,11076375,7344585,4638962,4638961,254763507,11070074,7340280,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,920894,519270,519271,920902,1619102,2790922,4632906,4632784,4632783,7333808,11060408,15939196,22041956,22054168,15950481,15950483,22054172,15965610,11081403,11058284,11058282,7348099,4641098,4641097,7348096,11081382,9985885,6563298,4111731,4111732,6563301,9985889,14512252,20223921,22045272,15942344,11062843,7335271,7335272,11062844,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921464,22070535,22070758,22050410,22050411,25541591,29623983,22272619,16130758,11205504,7435184,4698273,4698279,7435198,6045505,3782624,2265911,1314444,1314442,2265882,3782577,254925049,18925294,25537024,256650701,52667739,258413511,77750874,88667447,75018596,62197650,50679512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234029, s2 = 11797009, dlinesl.size( ) = 18 s1 = 9288174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9288174, s2 = 5297848, int(edited[s2]) = 0 s1 = 9288174, s2 = 5297848, d1 = 34, d2 = 1 Dl.O(d1) = 265525533 Dl.O(d2) = 219698289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9288174, s2 = 5297848, dlinesl.size( ) = 32 s1 = 5417186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7360297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7360297, s2 = 7763555, int(edited[s2]) = 0 s1 = 7360297, s2 = 7763555, d1 = 29, d2 = 48 Dl.O(d1) = 265833303 Dl.O(d2) = 226117608,274588939,229617448,227980719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 5662824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358909, s2 = 8232008, int(edited[s2]) = 0 s1 = 10358909, s2 = 8232008, d1 = 53, d2 = 50 Dl.O(d1) = 2149404,2149405,3601898,5779838,8865941,13021052,12851327,12851326,18123879,24563263,18124013,12851417,8739237,8739238,12851419,18124016,24563410,24563458,24563457,32146137,24563370,24563369,32146136,40765595,38182633,32145896,32145897,256068449,24563415,256613776,30241909,255898731,22264409,268634811,33951861,31061072,24563453,24563454,268137096,50450651,43008709,33951858,29615518,22264429,255083237,11200249,16123627,22264424,24563472,32146239,40923603,33951878,26115022,26115023,26382799,26382798,29615499,25034883,25034885,26382813,19648337,19648336,25034879,25034878,32721713,26382828,26382830,34260669,41027507,41027508,34975401,34975400,38135867,29569597,24813833,20014327,14334098,14334099,20014329,22227797,22227796,29575028,38141680,48055314,48052861,38139504,37716758,29156103,29156104,37716760,34975327,26895990,268287654,16433824,16433825,16093471,11177922,7416466,4686681,4686680,7416464,255895571,38140385,254911002,12709085,17936464,13180483,13180482,17935361,17935360,24322817,17936723,12709278,8634883,8634882,12709276,17936720,24323141,24323142,24323131,21183949,15222395,15222394,16446350,11458905,11458908,16446356,22633941,28404935,21183914,17936710,16446032,11458709,7621745,4822275,4822272,7621738,11458695,12939279,18241335,19070220,22633496,22633495,25842692,22633447,22633445,25842697,22634404,16446715,16446716,16446315,11458890,11458891,16446320,21179314,15218854,15218856,20867420,14965368,14965367,20783899,27937112,28404833,21183811,15222292,15222289,16446436,16446437,22634048,30003785,25842751,19188815,13704308,13704309,16446536,18182842,18182843,21496359,15489906,15489907,13704181,13704182,14896280,14896278,20783971,23265917,17002109,11915352,11915353,7970516,5071531,3074830,1793841,1023347,1023348,1793844,3074833,5071541,7970530,11915388,17002170,23265998,30682818,39279755,257171616,47547578,49206145,58141622,70855935,58147603,46780072,36902210,36902211,46780075,58147605,70861632,62835381,51185325,41028859,41028860,51185327,47672758,41985853,33041926,25314101,25314100,25538782,25538783,33300909,42282240,43020704,43020703,42282251,42282252,37689124,33676276,25870324,19212214,13722947,9400355,9400357,13722952,19212226,25870364,29090795,21792647,15734046,15734047,21792594,29090701,37641227,37641322,29090758,29090759,37641326,33963216,33963214,41028798,51185270,43021032,42707634,33677711,33677710,42707588,47547567,42706812,33676745,33676744,42706032,42706969,42706833,42706831,53156244,42706470,33676365,25870390,25870391,33676370,42706487,42707426,33677438,33676668,25870695,19212449,19212450,25870696,33675241,25869349,25869348,255940086,46836527,256660744,33677192,25871204,19212834,19212832,19212976,20963230,15053595,10379475,10379476,15053601,20963242,19212381,13723583,13723582,9400693,6158966,3853766,3853764,6158959,254940327,13723604,19211473,21438305,21438303,28688764,25869713,25869718,19212765,13723282,9400514,6158886,6158882,9400508,13723266,18744966,13344818,13344817,13722375,19211343,19213176,19213178,19212688,19212691,25870089,21438286,15443227,10676785,10676786,15443232,21438296,19213410,13723722,13723721,19213407,25871857,33041889,33041890,33676078,25870134,25870135,33676033,33676034,42706139,33676635,25870669,25870670,33676638,33041948,33041949,25869626,19211686,19211685,25869620,29936967,37213341,37213343,47110186,42706230,33676136,33676137,38500114,30179998,22790917,22790921,30180007,38763341,38500124,29936946,29936947,38500127,42705929,48676957,49949861,61427290,50578264,40542230,40542229,42705241,53155379,49112621,255520432,49112664,53500358,53500359,64783522,52864355,42460518,33467353,33467352,42265356,52651300,64550949,64783400,73261425,85539417,71951404,65159834,64783466,64783465,77514708,64783282,53550466,43071587,34013768,26171957,19471007,13935584,13935585,19471013,26171971,34013797,40891829,40891828,47910403,49174377,39249205,30653315,30653316,26171935,26171934,34013725,43071530,39844799,36796617,36796618,40540484,41728517,41728516,33467578,25694764,25694763,25104835,25104836,24464530,24464532,24322445,24322444,22136452,16020058,16020059,19069504,19069503,25694405,28746025,21487838,21487835,28746018,28749119,28749118,21489919,18556792,13185710,13185709,14021318,9638406,9638407,8988333,5868245,3663982,3663981,5868240,8988320,13185761,18556889,25106136,21469022,15467351,10695085,10695087,15467361,21469037,18555686,13184911,13184910,18555681,25104629,24924490,24924488,32581254,25886443,23753569,17427548,12283458,12283456,17427540,21419795,21487764,21487763,18049556,13185008,8987855,5867960,5867961,5662418,5662417,7073608,10706952,15483271,21487994,25105140,18556098,18556094,25105133,32807336,258167512,22678706,16481482,16481479,22678700,257009117,39148816,44623296,44623295,55472600,52714738,42327562,33346228,25586285,18977678,18977679,25586287,33346230,39148804,39148805,39030181,30441260,255339828,16790707,23034392,30441257,255339830,257429972,36817497,28321617,28321616,36817496,35150090,254724180,15165343,15165342,10971312,7262021,7262020,5419921,3331808,1959488,1119308,1119309,1959491,254084950,8399024,6745865,6745866,10266019,14929140,14929142,20827656,27992057,28320399,21110043,21110042,17604441,17604440,269875635,273698852,215380234,265694057,229705385,231131316,231131315,266057684,265793096,224065275,221606076,218742658,218742657,221606060,221606062,221606075,224065273,226198181,228055203,229685068,228055207,265642438,224065288,226198187,228055186,265971723 Dl.O(d2) = 228055205,228055191,226198166,224065257,224065256,265477810,221606052,224065247,265642436,221606045,221606044,265532907,265477812,221606060,221606061,265296008,264876160,211246385,215350988,218742654,221606075,224065273,226198181,265838215,228055202,229685068,228055207,228055206,229685069,231131316,229685059,266057680,224065269,224065275,221606076,218742655,218742656,221606078,218742670,218742639,215350978,211246379,211246378,215350976,218742635,221606054,221606082,265532909,265296002,215350970,211246374,264361678,262477272,259899504,258653514,64543282,64543283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358909, s2 = 8232008, dlinesl.size( ) = 28 s1 = 8856838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5079720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660942, s2 = 16384741, int(edited[s2]) = 0 s1 = 11660942, s2 = 16384741, d1 = 23, d2 = 20 Dl.O(d1) = 11152404,11152405,16061515,22189052,29531893,268385302,49103207,42035707,39172906,39172907,268216066,38212498,29645972,22293951,21931047,255063485,7267453,4583116,2757424,1598528,1598526,2757423,4583113,7267449,269801406,23172361,16908603,11833263,11833264,16908605,23172364,30590897,30590898,29150770,29150771,37711003,39190174,30592814,23174118,16909991,11834200,11834199,16909988,23174112,30592807,30592835,23174130,23174129,30591735,23173139,16909220,255520917,30591724,30025755,30025754,29778110,22413471,22413472,29778111,23165630,23165631,23940378,20958511,15349985,10604008,6996480,6996478,10604004,15349974,21320772,28544250,37043475,46921475,58287387,71002624,71002617,58287383,46921473,46921472,58287381,58776579,256885743,28939740,21660795,15624553,10810691,10810692,15624554,21660798,28939743,37481787,257465985,58776580,71505925,85077946,99003359,271365460,84430230,84430231,98339686,98339685,112322384,126182664,139557667,152287977,164171855,174988543,184590302,192975281,200168559,206242332,211264628,264953351,218758938,265358849,226212863,228069434,229698424,231143868,232439678,233611307,234677017,235649146,236534881,237343866,266786015 Dl.O(d2) = 218278957,215345364,214797715,210567668,264165854,191732250,183126005,173279964,162185825,262151944,261079696,94451080,258652544,54701861,43957778,34682696,26688505,19869397,14235800,14235801,19857737,14242396,14242395,19878144,15144582,10444955,254493166,2585542,2585544,4322310,6885481,6885540,10444953,15144581,21083884,268606071,58047759,70766492,84325684,98233069,112211321,126067665,139439120,261082446,164042348,174860578,177074797,166493319,154786472,272705352,128796627,260879826,100848466,86867244,86867245,100848467,86867247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660942, s2 = 16384741, dlinesl.size( ) = 20 s1 = 5611611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5611611, s2 = 8064319, int(edited[s2]) = 0 s1 = 5611611, s2 = 8064319, d1 = 6, d2 = 43 Dl.O(d1) = 229704114 Dl.O(d2) = 10458209,10458210,15164747,21110767,28321031,30824867,23397078,17125078,17125079,23397079,30824868,39429031,49358698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5611611, s2 = 8064319, dlinesl.size( ) = 2 s1 = 5611611, s2 = 8064319, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5611611, Dl.E( ) = 52, 1.5e-05 seconds used appending s1 = 8860046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13858013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9610946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9610946, s2 = 5612017, int(edited[s2]) = 0 s1 = 9610946, s2 = 5612017, d1 = 15, d2 = 18 Dl.O(d1) = 263487506,212599503,216516886,219765865,222508702,265360746 Dl.O(d2) = 229714449,229714450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9610946, s2 = 5612017, dlinesl.size( ) = 2 s1 = 9610946, s2 = 5612017, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9610946, Dl.E( ) = 20, 4.05e-06 seconds used appending s1 = 8871423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8871423, s2 = 14107637, int(edited[s2]) = 0 s1 = 8871423, s2 = 14107637, d1 = 10, d2 = 7 Dl.O(d1) = 226240524,228095579,229723624,229723622,229723623,231168780,230147738,230147737,231555124,232816786,233957667,234997347,235943554,236805662,237589899,238302594,238950998,239547040,240097286,240606964,240097288,239547042,238950999,238302599,238302598,238951002,239547044,240097291,239547055,238951009,238302607,237589908,236805670,235943562,266525667,237589910,238302609,238951011,239547058,240097303,266964377,241518488,241925142,267129141,242300873,267075938,241079646,240606975,240097296,239547049,239547048,240097295,266964375,267052377,241079658,240606990,266893158,239547060,240097305,240606988,241079656,241518494,241079649,240606981,240097299,239547051,238951006,238302603,266645458,235943559,234997349,234997348,235943557,236805667,266603904,266345464,233957661,234997341,233957671,232816790,266082020,226759328,224691548,222310180,219536494,216253623,212293877,207447688,201570446,194587409,263441862 Dl.O(d2) = 123765830,109575190,95319411,258200706,55447922,67790606,81259310,95319416,109575192,123765833,123765834,137490560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8871423, s2 = 14107637, dlinesl.size( ) = 2 s1 = 8871423, s2 = 14107637, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8871423, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10251499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5614013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5614358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8860208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7334494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7334494, s2 = 11612756, int(edited[s2]) = 0 s1 = 7334494, s2 = 11612756, d1 = 26, d2 = 20 Dl.O(d1) = 265543255,228159282,229782221 Dl.O(d2) = 267156292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7334494, s2 = 11612756, dlinesl.size( ) = 30 s1 = 8860709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8879162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16228450, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8882672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8882672, s2 = 13720338, int(edited[s2]) = 0 s1 = 8882672, s2 = 13720338, d1 = 174, d2 = 117 Dl.O(d1) = 266419451,233732969,232570011,231282468,231282467,229846878 Dl.O(d2) = 265574906,200542709,193399345,263119105,164794687 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7765220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7765220, s2 = 8863046, int(edited[s2]) = 0 s1 = 7765220, s2 = 8863046, d1 = 80, d2 = 110 Dl.O(d1) = 274614597,231470068,265729618 Dl.O(d2) = 265004064,228238021,265573448,232575392,232575391,265573444,228238020,226398465,224286288,221851584,219014525,263921410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7765220, s2 = 8863046, dlinesl.size( ) = 70 s1 = 5670437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8900666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7386230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7386230, s2 = 10251498, int(edited[s2]) = 0 s1 = 7386230, s2 = 10251498, d1 = 7, d2 = 7 Dl.O(d1) = 266113892,229864103,228249484,226410477,224298722,221864611,219028220,215669426,211608082,206640218,263849704,193497517,263409312,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645514,263518425,193497525,200626511,200626513,193497519,193497518,273664886,175645506,164889846,153052954,140355943,140355944,153052956,164889850,175645515,185180330,175645504,175645503,185180328,193497518,273664886,175645506,164889846,153052954,153052955,164889848,175645510,185180335,185180336,263489396,185180324,185180333,175645508,175645509,185180336,263489396,185180324,193497515,200626511,200626514,200626512,193497519,193497518,263489398,175645501,175645502,185180327,193497517,263409312,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645515,185180330,175645504,175645503,273537041,273485666,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645515 Dl.O(d2) = 266113892,229864103,228249484,226410477,224298722,221864611,219028220,215669426,211608082,206640218,263849704,193497517,263409312,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645514,263518425,193497525,200626511,200626513,193497519,193497518,273664886,175645506,164889846,153052954,140355943,140355944,153052956,164889850,175645515,185180330,175645504,175645503,185180328,193497518,273664886,175645506,164889846,153052954,153052955,164889848,175645510,185180335,185180336,263489396,185180324,185180333,175645508,175645509,185180336,263489396,185180324,193497515,200626511,200626514,200626512,193497519,193497518,263489398,175645501,175645502,185180327,193497517,263409312,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645515,185180330,175645504,175645503,273537041,273485666,164889851,164889853,175645517,185180331,175645513,164889849,164889850,175645515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7386230, s2 = 10251498, dlinesl.size( ) = 2 s1 = 7386230, s2 = 10251498, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7386230, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 5618390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5618390, s2 = 5416358, int(edited[s2]) = 0 s1 = 5618390, s2 = 5416358, d1 = 13, d2 = 0 Dl.O(d1) = 229873043,231305070,266222227,274694703,235767727,235595046,234615663,233540359,266087969 Dl.O(d2) = 223942636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5618390, s2 = 5416358, dlinesl.size( ) = 2 s1 = 5618390, s2 = 5416358, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5618390, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9623797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9623797, s2 = 2525833, int(edited[s2]) = 0 s1 = 9623797, s2 = 2525833, d1 = 15, d2 = 17 Dl.O(d1) = 37239302,28708573,21453750,15455134,10685944,10685943,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,28578343,21356341,15379157,10627577,10627578,15379164,21356353,21349028,15373267,10622850,10622851,15373272,21349038,21349173,15455111,10685935,10685936,15455116,16686448,16686450,15344883,12573559,8527590,5526097,3412469,3412470,4394627,4394629,6992846,6992867,4394646,2633438,2633437,4394640,6992864,10599374,15345023,10654623,9470656,9470657,13809803,19312777,21315777,28539130,24131418,24131416,28580545,28580544,37037603,28539078,21315735,21315734,17767837,12573704,8527675,8527674,12573701,17767833,24131244,28539220,28578333,21349115,15373365,15373364,15455109,21453717,28578377,31637992,24130874,17767564,17767566,17767553,12573546,12573545,17767549,17767919,17767918,12573770,12573771,15344986,10599362,10599363,15345004,21315825,28539194,37037711,37037667,28539138,28539137,28539122,28539121,37037655,28578352,28578353,37037682,28539153,28539151,24131272,17767854,12573728,8527689,5526157,3412499,3412498,5526152,8527681,12573716,12573685,12573686,17767801,21349168,21349167,28578401,31638481,31638480,28578314,28578313,31637985,24131431,17767959,12573779,8527721,8527723,12573783,17767965,17767938,17767939,24131399,21315836,15344973,10599346,10599347,15344982,21315852,28539227,37037673,42825193,40328080,40328079,46915249,37082605,37082606,40328296,40328083,31638430,24269943,24131223,17767808,12573691,8527667,5526147,5526148,8527671,12573697,17767824,17767849,24131265,31638465,40328068,37082648,37082647,39256483,31638604,31638605,31638676,40328332,31638686,31638683,31638682,31638666,31638665,40328297,31638635,24131388,24131389,31638030,24131227,18774644,18774643,21315843,21315844,28539213,37037731,46915292,42037637,42037635,50355322,58280669,46963548,46963477,37082506,37082507,31782729,24269940,24269941,30384459,24131177,17767773,12573677,12573676,17767767,24131168,24131258,24131259,31638462,40328112,40328455,31638792,31638793,30660770,30660768,33089685,33089686,42037600,52381400,46943160,40328446,31638781,24131503,17768021,12573823,12573822,17768016,24130910,17767598,13370534,9138205,9138207,13370540,18774662,25356863,33089725,33372061,33372062,42361053,52760678,46963479,37082511,28578267,28578269,22982157,16744774,16744772,22982152 Dl.O(d2) = 32098240,24522992,24522991,27191082,28757197,35125316,35125397,27038272,20145330,20145331,27038279,255838026,28708571,28708572,37239300,47144611,47732274,47732276,37810127,29245583,29245581,29588617,22240406,16104522,255458395,29588615,33482230,25708775,19081740,19081741,25708777,256664047,30326371,22925257,22925256,18297080,12987508,255229181,24777124,24277004,17896629,12676913,12676916,17896637,24277021,30326435,24776706,24162291,17794712,12595546,8546657,8546659,12595552,17794717,12987445,8841389,5762003,3588880,2139677,1235517,1235516,2139672,3588873,5761990,8841351,12987368,18296877,18297048,12987483,8841423,8841421,8841420,12987476,18297043,24428214,18015711,15348383,10602603,10602601,15348380,16690093,21855881,15784279,10934829,7235064,7235061,10934821,15782227,10933263,10933261,15782222,21853311,29161758,32400273,41224067,41224068,51421022,63117933,76123350,89929158,104058666,118218207,132038617,145276526,157688938,169132593,179402419,188435121,196301240,203028246,208664151,213295910,217087420,220239164,222908905,225208840,227208187,265915973,231867148,233101605,234217407,234812784,233757431,232598190,231315039,229883702,228272267,226436900,224329125,221900915,219071831,215721718,211671463,206715793,200717134,193607117,185310992,175801171,165071339,153253864,140572319,127226986,113369238,99368671,85427378,71841487,59102611,256587766,255619984,254892586,25753449,19115308,13647637,13647636,19115306,19131229,13660133,13660132,19131221,23783535,23783536,24259265,21616608,21616609,17783605,17783517,15006646,12586140,11340227,11340226,15588246,10783554,10783553,10266399,10266402,14929646,20828264,16297135,11339020,11339022,7915086,7915087,10264554,10264553,14927286,20825567,16903650,11829727,10021417,10021415,12934030,18234611,268411595,11485558,7639313,4833148,2912388,1689510,960785,960784,267791615,4833144,7639306,11485548,16484451,22682961,16484482,11485568,7639324,7639325,268091501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9623797, s2 = 2525833, dlinesl.size( ) = 2 s1 = 9623797, s2 = 2525833, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9623797, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 5619170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7349645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8770251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8770251, s2 = 7908909, int(edited[s2]) = 0 s1 = 8770251, s2 = 7908909, d1 = 26, d2 = 49 Dl.O(d1) = 127339200,140695230,140695232,262214565,175891088,185382963,193666284,200767728,206760123,211710286,215756113,219102289,265713565,229902829,231331994 Dl.O(d2) = 237953694,266546176,235477096,234488754,266162278,230883791,230883790,232207690,233402992,233402994,274685541,236378859,274707534,235477097,236378857,266640195,238637094,266820088,266694040,236378851,235477090,266270304,274583531,273910260,262422654,262858964,257120544,256061130,37214450,28689778,21439740,15444481,10677862,10677861,268049541,6556393,4107376,267872203,9975649,14497807,20204540,27104694,35193859,257319513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8770251, s2 = 7908909, dlinesl.size( ) = 30 s1 = 7350002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7350002, s2 = 6050026, int(edited[s2]) = 0 s1 = 7350002, s2 = 6050026, d1 = 26, d2 = 15 Dl.O(d1) = 265715883,229927495 Dl.O(d2) = 240528752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350002, s2 = 6050026, dlinesl.size( ) = 2 s1 = 7350002, s2 = 6050026, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7350002, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 9634573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9634573, s2 = 7103464, int(edited[s2]) = 0 s1 = 9634573, s2 = 7103464, d1 = 90, d2 = 76 Dl.O(d1) = 230534901,231900368,233129874,234241575,235252269,236172587,237011760,237778717,238475442,239112891,239698536,239453706,238849661,238192470 Dl.O(d2) = 262627479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9634573, s2 = 7103464, dlinesl.size( ) = 16 s1 = 7350184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166132, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5674040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8901283, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10353153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353153, s2 = 7325116, int(edited[s2]) = 0 s1 = 10353153, s2 = 7325116, d1 = 47, d2 = 22 Dl.O(d1) = 259376921,113801467,274275614,265720243 Dl.O(d2) = 265435204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10353153, s2 = 7325116, dlinesl.size( ) = 42 s1 = 5622809, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9050148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9624076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8898114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8898114, s2 = 7386883, int(edited[s2]) = 0 s1 = 8898114, s2 = 7386883, d1 = 29, d2 = 45 Dl.O(d1) = 274101203 Dl.O(d2) = 232691702,233842195,234889623,235843825,274773677,274697005,266594653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8898114, s2 = 7386883, dlinesl.size( ) = 28 s1 = 5676572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5676572, s2 = 8850653, int(edited[s2]) = 0 s1 = 5676572, s2 = 8850653, d1 = 12, d2 = 64 Dl.O(d1) = 231435315 Dl.O(d2) = 266000740,228415308,226593007,265395810,264997448 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7368531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5676827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5676827, s2 = 7117384, int(edited[s2]) = 0 s1 = 5676827, s2 = 7117384, d1 = 33, d2 = 16 Dl.O(d1) = 231439948,230020944,228421056,226599816,224509845,224509844,226599815 Dl.O(d2) = 262794608,185874272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5676827, s2 = 7117384, dlinesl.size( ) = 14 s1 = 9725984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9725984, s2 = 5364925, int(edited[s2]) = 0 s1 = 9725984, s2 = 5364925, d1 = 0, d2 = 0 Dl.O(d1) = 257012224,70948779,84512457,98433924,112422244,126284905,126284906,128806691,128806689,128806690,142161301,154795276,166501478,177082369,180358862,170202119,170202118,261376160,189290836,197020477,203621990,209138996,213667103,217381628,220477184,223108637,265070170,229080612,274430496,231960443,233181992,232713440,231442339,230023518,228424019,226603778,224515294,222112057,219314788,216004173,212008128,207118125,201189210,194147161,185925644,176495640,165840291,154070976,141396908,271812359,100103915,86136281,72536957,59801751,257541367,38510814,255920685,16401622,11417931,7588515,7588516,11417936,16401632,22584105,28013466,36473864,46329270,57676037,70367671,83892167,258863284,125469143,138797142,151497532,163380125,174231786,183900916,192375250,199671957,205844326,210949799,215122020,218557695,221448701,223926557,226071906,227940339,229581551,231039903,232348604,233532256,234608171,235541475,234557378,233476454,232286195,230967990 Dl.O(d2) = 257012224,70948779,84512457,98433924,112422244,126284905,126284906,128806691,128806689,128806690,142161301,154795276,166501478,177082369,180358862,170202119,170202118,261376160,189290836,197020477,203621990,209138996,213667103,217381628,220477184,223108637,265070170,229080612,274430496,231960443,233181992,232713440,231442339,230023518,228424019,226603778,224515294,222112057,219314788,216004173,212008128,207118125,201189210,194147161,185925644,176495640,165840291,154070976,141396908,271812359,100103915,86136281,72536957,59801751,257541367,38510814,255920685,16401622,11417931,7588515,7588516,11417936,16401632,22584105,28013466,36473864,46329270,57676037,70367671,83892167,258863284,125469143,138797142,151497532,163380125,174231786,183900916,192375250,199671957,205844326,210949799,215122020,218557695,221448701,223926557,226071906,227940339,229581551,231039903,232348604,233532256,234608171,235541475,234557378,233476454,232286195,230967990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9725984, s2 = 5364925, dlinesl.size( ) = 2 s1 = 9725984, s2 = 5364925, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9725984, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8902904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8902904, s2 = 7703031, int(edited[s2]) = 0 s1 = 8902904, s2 = 7703031, d1 = 32, d2 = 28 Dl.O(d1) = 266966814,234017641,266530512,266020158 Dl.O(d2) = 273132180 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7703032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703032, s2 = 8902905, int(edited[s2]) = 0 s1 = 7703032, s2 = 8902905, d1 = 29, d2 = 33 Dl.O(d1) = 273132181 Dl.O(d2) = 266020159,266530513,235053076,266966815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6864400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8889734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5625685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8858632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5625870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5625870, s2 = 5978165, int(edited[s2]) = 0 s1 = 5625870, s2 = 5978165, d1 = 0, d2 = 25 Dl.O(d1) = 230050027 Dl.O(d2) = 238252332,238904988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5625870, s2 = 5978165, dlinesl.size( ) = 2 s1 = 5625870, s2 = 5978165, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5625870, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 13900655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7351391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7351391, s2 = 14212074, int(edited[s2]) = 0 s1 = 7351391, s2 = 14212074, d1 = 33, d2 = 42 Dl.O(d1) = 265730663 Dl.O(d2) = 240405071,239877285,266459064,274676760,237264494,236447501,235552627,234570224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7351391, s2 = 14212074, dlinesl.size( ) = 2 s1 = 7351391, s2 = 14212074, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7351391, Dl.E( ) = 44, 2.41e-05 seconds used appending s1 = 7378785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7378785, s2 = 15667041, int(edited[s2]) = 0 s1 = 7378785, s2 = 15667041, d1 = 66, d2 = 69 Dl.O(d1) = 266032380,266005850,265731450 Dl.O(d2) = 7692862,255495487,12837800,12837799,11616275,7735574,7735573,8962079,5850091,4897580,2951668,2951669,3741987,5984337,7586883,4893913,4893912,7730791,4895353,2950194,2950196,4895286,4895429,4895456,4865715,4865711,4865502,4862952,2934728,1702022,967529,544996,305296,168952,92990,51294,28843,28840,51284,92955,168870,305104,544573,966579,1700191,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934159,4869296,254795291,7583345,4796564,4796562,2891982,2891980,4797877,6814448,4274197,4274198,6814455,7583067,7583069,4807129,2929460,2929461,4861447,2956606,2956604,4811245,2899612,1682297,1682294,2899594,2899556,2899555,4811135,7597542,10944685,10944684,8159807,8159805,12128305,11421330,7591393,7591394,11421332,11446228,7612173,4815952,4815953,7602996,11434939,11420271,11420270,11626280,7744400,7744401,11626284,15020292,16216040,11272756,11272757,267849312,16420431,22603560,21477929,15475511,10701758,10701695,7070226,4451404,2674184,2674182,4451395,6542736,4099033,4099032,6542733,9954986,12838801,12838802,16447971,11460173,7622760,7622759,11430360,12838063,8730088,8730087,12838062,18105496,18105497,24539128,32116622,40890424,51027826,62653864,75596119,89357222,103452506,99437193,85495672,71910650,59172747,268705224,71910652,85495674,99437194,113439066,103452502,89357219,89357220,103452503,117582905,117582906,131383244,144606314,157004463,168451365,263286025,187861805,192007794,263807589,264662840,205594259,205594285,205594286,202603300,195801951,264009187,192007808,183452586,183452583,183452585,263807591,205594270,264592184,202603309,195801962,264009191,205594289,199367528,192007818,183452597,183452598,192007824,187861821,187861822,183452608,173666062,162644154,150524333,150524332,162644150,162644149,173666057,183452591,192007812,264135693,264691189,265143411,218412931,218412922,265120794,205594293,199367531,192007820,183452597,183452598,192007824,187861821,187861822,183452608,173666062,162644154,150524333,150524332,162644150,162644149,173666057,183452591,192007813,192007805,183452581,173666052,173666053,183452585,192007806,199367516,264428393,205594296,199367535,192007822,192007824,187861821,187861822,183452608,173666062,162644154,150524333,150524332,162644150,162644149,173666057,183452591,192007813,192007805,183452581,173666052,173666051,183452577,192007800,199367508,205594262,210744935,264928649,216891327,216891326,216891350,213036057,208320338,202603296,202603295,208320336,213036051,216891343,214952028,210744950,205594279,199367522,192007810,263807593,205594281,264691187,218412921,221019907,221019908,265317672,221320581,223811026,221320572,218412911,214952020,214952021,218412905,214952017,264397230,199367519,199367520,205594273,210744943,264903284,210744949,205594277,263768882,192007809,199367520,205594274,210744945,214952021,218412912,221320564,221019894,274171253,205594260,208320344,202603305,195801958,195801957,202603303,264592187,214952028,210744950,210744951,214952030,214952032,218412927,218412903,214952016,214952015,218412900,218412907,221320568,265120790,216891352,214952034,210744953,205594282,264428395,208320342,202603316,195801967,187861833,178757421,168451364,272652782,144606314,157004464,168451367,264135691,192007797,183452584,183452585,263807591,205594270,264592184,202603309,195801962,264009191,205594289,199367528,192007818,183452597,183452598,192007824,187861821,178757414,178757413,187861819,264009187,192007808,183452586,173666054,173666055,263442195,195801965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7378785, s2 = 15667041, dlinesl.size( ) = 18 s1 = 5626810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10275513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7351613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13790169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13790169, s2 = 11503706, int(edited[s2]) = 0 s1 = 13790169, s2 = 11503706, d1 = 97, d2 = 193 Dl.O(d1) = 194326422,264243103,212140424,216123655 Dl.O(d2) = 222211192,219423495,216123639,212140417,207264861,201352200 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7351829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7367142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7367142, s2 = 6831865, int(edited[s2]) = 0 s1 = 7367142, s2 = 6831865, d1 = 50, d2 = 65 Dl.O(d1) = 265905816 Dl.O(d2) = 33875775,257245615,51736850,257746359,258987207,270299344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7367142, s2 = 6831865, dlinesl.size( ) = 36 s1 = 5680156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8775311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5581765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5680971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8863675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8863675, s2 = 7363485, int(edited[s2]) = 0 s1 = 8863675, s2 = 7363485, d1 = 35, d2 = 58 Dl.O(d1) = 265582341 Dl.O(d2) = 265867460,219256957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8863675, s2 = 7363485, dlinesl.size( ) = 52 s1 = 7388066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5572615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5681341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7365483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7365483, s2 = 5682214, int(edited[s2]) = 0 s1 = 7365483, s2 = 5682214, d1 = 0, d2 = 0 Dl.O(d1) = 265888238,231568711 Dl.O(d2) = 265888238,231568711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7365483, s2 = 5682214, dlinesl.size( ) = 2 s1 = 7365483, s2 = 5682214, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7365483, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5630521, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5682646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5682880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7478768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7478768, s2 = 5014114, int(edited[s2]) = 0 s1 = 7478768, s2 = 5014114, d1 = 75, d2 = 86 Dl.O(d1) = 267053602,266745064,266137206 Dl.O(d2) = 264798449,216370156,212427981,207607562,201762093,271840724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7478768, s2 = 5014114, dlinesl.size( ) = 68 s1 = 7768962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7768962, s2 = 2278062, int(edited[s2]) = 0 s1 = 7768962, s2 = 2278062, d1 = 64, d2 = 0 Dl.O(d1) = 274671880,231630079 Dl.O(d2) = 61256089 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8810161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8810161, s2 = 9013801, int(edited[s2]) = 0 s1 = 8810161, s2 = 9013801, d1 = 119, d2 = 77 Dl.O(d1) = 219712620,274519286,274639651,266343716,274601194,230235990,230235991 Dl.O(d2) = 267637109,247276768,267647753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8810161, s2 = 9013801, dlinesl.size( ) = 74 s1 = 7250615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5684907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5684907, s2 = 14509341, int(edited[s2]) = 0 s1 = 5684907, s2 = 14509341, d1 = 16, d2 = 0 Dl.O(d1) = 231636569 Dl.O(d2) = 87693877,74086800,61305587,49825564,48048114,38134627,38134626,255679776,26169912,19468999,13933657,13933656,19468996,19812735,14191724,14191726,14191714,14191715,19812715,19077646,13620091,13620089,19077640,25704183,25769488,19129632,13658825,13658827,19129637,24133264,17769635,17769639,21991412,20911100,20911096,21118068,26627531,29320205,255279532,17769723,24133399,31640539,29316871,21988530,15892023,15892024,21988532,26160769,19460857,13927090,13927088,19429862,19429861,13927319,9559318,6272427,6272426,9559313,13927310,19461153,19461154,23336146,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932963,15333993,21302673,21011501,15090863,15090865,21011508,23618054,31102655,27004902,27004900,26157259,19457961,13925123,13925121,19457953,25894845,19235026,13742438,13742440,13924687,19427709,19457358,26156541,31228481,23744704,17419584,12277628,8291625,8291624,12277626,17419580,23744698,31228474,25894590,19234850,19234851,25894592,33700631,254933570,65164518,78447448,72601591,59863707,48472239,38559245,29989391,29989390,38559243,33878979,26055866,270310542,53390549,53514940,43036740,42188441,33228070,25479536,18877637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5684907, s2 = 14509341, dlinesl.size( ) = 2 s1 = 5684907, s2 = 14509341, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5684907, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 5633584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14771099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14771099, s2 = 7289896, int(edited[s2]) = 0 s1 = 14771099, s2 = 7289896, d1 = 9, d2 = 12 Dl.O(d1) = 232900501 Dl.O(d2) = 265027538,219750567,216498540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14771099, s2 = 7289896, dlinesl.size( ) = 14 s1 = 11660952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660952, s2 = 14147881, int(edited[s2]) = 0 s1 = 11660952, s2 = 14147881, d1 = 6, d2 = 4 Dl.O(d1) = 236867270,236011949,235071203 Dl.O(d2) = 232901859,231648328,230253486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660952, s2 = 14147881, dlinesl.size( ) = 2 s1 = 11660952, s2 = 14147881, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 11660952, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9587564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13744487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9620930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9597233, s2 = 11448391, int(edited[s2]) = 0 s1 = 9597233, s2 = 11448391, d1 = 1, d2 = 1 Dl.O(d1) = 187061346,263624160,205634872,205634873,210782081,207853192,207853191,212640472,216553532,219798742,222537796,224890466,226933379,228713840,230280462 Dl.O(d2) = 187061346,263624160,205634872,205634873,210782081,207853192,207853191,212640472,216553532,219798742,222537796,224890466,226933379,228713840,230280462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9597233, s2 = 11448391, dlinesl.size( ) = 2 s1 = 9597233, s2 = 11448391, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9597233, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 5635582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7353628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5683604, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5581215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5581215, s2 = 14144755, int(edited[s2]) = 0 s1 = 5581215, s2 = 14144755, d1 = 11, d2 = 22 Dl.O(d1) = 228782140,230344474,231733220 Dl.O(d2) = 219474166,216180875,212206608,273189642,201440406,194430068,260779052,154524018,258313942,114633515,257118388,86631307,73030623,60293268,48899000,254883808,30391158,254425600,16749977,11704119,11704117,12022921,17108870,23378658,23378631,17108854,17108855,23378637,30806711,39411745,49341270,60744391,60744389,258217165,87112068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5581215, s2 = 14144755, dlinesl.size( ) = 2 s1 = 5581215, s2 = 14144755, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5581215, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 5624403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5624403, s2 = 6654389, int(edited[s2]) = 0 s1 = 5624403, s2 = 6654389, d1 = 87, d2 = 82 Dl.O(d1) = 215974285,219291625,222093635,224500825,226592399,228414729,230015266,231434739,231735472 Dl.O(d2) = 20883698,20883699,28052661,30165252,30165253,38748804,40270464,256986382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5624403, s2 = 6654389, dlinesl.size( ) = 28 s1 = 6876131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6876131, s2 = 8367235, int(edited[s2]) = 0 s1 = 6876131, s2 = 8367235, d1 = 64, d2 = 55 Dl.O(d1) = 264572546,219928204,216700966,263254142,202268141,274016681,264294310,195397228,261308818,156064228,258900878,259524920,272270496,262357342,263638008,274363295 Dl.O(d2) = 23755101,29275750,29275749,37842470,47765137,59163914,47765009,37842336,29275613,29275614,256912609,59163924,64576281,64576283,77758890,86714395,86714394,99428542,85487079,84353514,84353515,98260931,112238833,101694150,87720665,74115093,64576279,64576278,77758888,91685995,79154583,65798829,65798831,71901879,71901880,85486954,99428496,113430530,114740620,100690673,100690671,113430507,113430690,99428679,91685985,77758883,77758884,91685988,85487127,71902080,71902079,60369484,48973697,48973696,48973689,39052014,39052015,48973694,60369477,73108838,86714420,100690668,99428759,85487214,71902172,59164033,59164032,71902168,85487208,99428747,101607919,101607918,112500261,98934596,85008836,85008835,72961844,72961845,86561061,90812585,104990340,112857569,98869487,98869486,84942848,72462863,59727283,59727282,72462860,84942677,259936549,84329230,70770363,58052078,46677353,36791360,28294613,256296427,46677358,58052087,70770377,84329242,72462926,72462927,85008786,85008787,86060993,84942856,72462872,59727294,48342949,38439581,38439580,48342939,58052076,58052075,70770360,84329226,71366240,71366239,70770329,70770328,58629484,47236499,37327432,28790904,21526609,21526608,28790900,37327424,47236487,58629459,58629465,71366231,84942760,71366118,58629361,58629349,58629348,58629415,47236464,47236465,58629416,71366190,258134798,86714371,73108802,71378869,258067385,47250227,37340462,28802487,21536030,21536032,28802490,37340468,47250236,58643025,58629324,47236840,47236449,37327406,28790891,28790892,37327409,47236452,37327450,37327451,37327439,37327436,47236506,58629497,58629552,58629550,47236558,47236557,58629555,71366312,84942934,98869608,112857626,98869719,84943070,84943069,84943268,84943267,257666490,99977018,86017177,72420518,59685460,59685461,72420522,86017182,84353546,84353545,86017088,98260949,98260950,258064290,59685366,59685367,72420398,86017051,99976868,86240510,72637831,59895987,59895988,59685380,48298821,38388313,29815468,29815467,38388310,39858230,268991733,58077633,46705463,46705462,48502270,38587359,30014899,30014898,38587357,48298788,38388288,29815508,29815509,38388393,255569040,28327118,21117104,15170738,15170737,21117102,28327113,36822704,46705477,258026063,84353643,86017055,86017073,74143359,74143358,61362756,61362757,74143353,61362749,61362748,74143350,72637878,72420424,72420422,86017070,258277667,50260598,256538537,31554916,40241094,50260600,50260619,61739184,74520818,74520819,88132998,74520866,61739037,50260519,40241042,31554885,31554872,24050595,24050594,30014879,30014878,38587319,48502214,48502280,59896066,72637904,74520909,61739081,50260547,40241061,40241062,38587325,38587324,48502223,53706347,65763290,79119321,79119315,65763284,53706343,43194617,43194618,257143880,50260529,61739055,74520886,61739133,61739134,65763298,65763296,67875357,55524704,44663506,44663507,55524708,67875363,61739172,50260614,50260615,61739176,74521033,88133195,88133150,88133151,101711824,102120869,88133106,74520924,61739087,61739086,74520920,88133101,87747782,74143279,74143280,87747785,95391362,95391361,102120808 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8853726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7448282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7448282, s2 = 8923990, int(edited[s2]) = 0 s1 = 7448282, s2 = 8923990, d1 = 25, d2 = 20 Dl.O(d1) = 266754871,266455989,266263295,266540683,266689473,237720555 Dl.O(d2) = 267059621,266972671,240193180,266815921,266540685,266363701,230399420,228842507,265613527,264584121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7448282, s2 = 8923990, dlinesl.size( ) = 20 s1 = 5690603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5690603, s2 = 11522602, int(edited[s2]) = 0 s1 = 5690603, s2 = 11522602, d1 = 53, d2 = 60 Dl.O(d1) = 231784970 Dl.O(d2) = 274461742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5690603, s2 = 11522602, dlinesl.size( ) = 2 s1 = 5690603, s2 = 11522602, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5690603, Dl.E( ) = 78, 3.6e-05 seconds used appending s1 = 8866033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5691372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5691372, s2 = 7568670, int(edited[s2]) = 0 s1 = 5691372, s2 = 7568670, d1 = 42, d2 = 73 Dl.O(d1) = 231804831 Dl.O(d2) = 254949012,37294931,268516576,21501552,28761157,37294934,47202856,58593890,71327094,84900406,98826954,112818046,126675068,119151857,260244679,90776593,76898064,257759085,41665393,32754092,25061944,18523116,255076543,11132453,16032946,22153004,29491993,38056071,41610073,32706473,25022334,25022335,23406373,23383384,23383385,23383440,23383439,30285497,28318714,26888937,26888936,22887604,22887603,17112840,17112841,19042398,13593216,9307650,6096995,3814658,3814657,267933823,268148561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5691372, s2 = 7568670, dlinesl.size( ) = 2 s1 = 5691372, s2 = 7568670, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5691372, Dl.E( ) = 74, 2.31e-05 seconds used appending s1 = 5641327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5641327, s2 = 11279634, int(edited[s2]) = 0 s1 = 5641327, s2 = 11279634, d1 = 65, d2 = 7 Dl.O(d1) = 230453823,231831409 Dl.O(d2) = 49349512,258217855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5641327, s2 = 11279634, dlinesl.size( ) = 12 s1 = 5585683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5585683, s2 = 16254108, int(edited[s2]) = 0 s1 = 5585683, s2 = 16254108, d1 = 76, d2 = 49 Dl.O(d1) = 220153744,222839247,225151028,227160508,228914937,230462075,231837363,266268055,235210453,236136457,266644064,236136471,236980213,236980196,236136449,236136451,236980199,237749870,237749878,237749879,238449191,237749866,266568938,235210459,235210460,236136460,236136456,236136457,236136453,235210450,234193423,234193424,235210452,236136454,236980201,236980202,236980203,266487292,235210455,236136456,236136457,236136453,235210450,234193423,234193424,235210452,236136455,236980203,236980204,237749873,237749879,237749869,237749870,238449195,237749871,236980200,236980201,266692587,239087853,238449192,266758019,266713794,236136458,236136459,235210468,234193433,233074702,233074701,234193429,234193430,235210463,236136468,236980205,266644066,236136466,235210461,234193428,233074700,231837364,231837363,266268055,235210454,236136459,235210468,234193433,234193432,235210466,236136471,236980213,236980196,236980197,266568938,236136465,266621089,237749880,266692589,237749883,237749884,237749877,236980206,236136463,235210457,235210458,234193433,233074702,233074701,234193429,234193430,235210464,266621091,237749882,236980210,236980211,236136472,266487294,235210465,266544485,266692591,239087856 Dl.O(d2) = 101915842,87943293,74340597,61563142,50082898,50082899,257071731,31378767,23881883,23881884,23881885,17535780,12368061,8357287,5394239,3317004,3317003,5394238,8357286,12368059,17535776,21198523,15234078,10509031,6929872,6929871,7511805,7511806,11313292,16270195,268406301,38375153,48285855,38681678,32838809,25895885,25895884,33701975,38005356,38005358,47564454,41759068,32838664,25133450,18579990,13203846,9001129,9001130,13203848,18579994,268484491,41759081,34003444,34003443,43051805,37423726,28881569,21605622,21605623,23374541,19452974,19452971,26151597,28283630,28283631,33413991,33413992,255273696,26161582,254657294,24240930,17865188,17865187,23854205,19433469,19276885,13779593,9447509,9447508,13779587,19276872,25940012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5585683, s2 = 16254108, dlinesl.size( ) = 24 s1 = 5641507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5739711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5739711, s2 = 14165333, int(edited[s2]) = 0 s1 = 5739711, s2 = 14165333, d1 = 29, d2 = 57 Dl.O(d1) = 233086249,231850928 Dl.O(d2) = 145076074,261374583,260207773,89730332,258339581,51293069,256588791,24690088,18222320,12924916,8792478,5727137,3565813,2125199,1225963,1225962,2125198,3565812,5727136,269069816,12924915,18222318,24690084,32301442,31166594,23678361,17358156,17358155,23678360,31166555,23678310,23678311,17358124,17358123,23678324,31166569,37055608,46934045,46934070,37055666,37055659,28555153,21329761,15357496,10610028,10610027,15357495,255826715,28555280,21329864,21329863,28555124,21329733,15357480,15357479,21329457,21329752,15357553,10610074,268070367,21329856,28554882,21329507,15357328,10609911,7000831,4399936,2636686,2636684,4399934,4399899,4399901,7000904,10610015,12228261,8256174,8256173,12228256,17358114,23678308,28555091,37055612,37055575,28555164,21329768,21329767,28048115,20879895,14977890,10310333,10310332,14977888,20879890,15357522,10610044,7000919,4399907,254498627,10610038,15357514,21329648,21329649,28554826,21329452,15357287,10609881,10609880,10610155,10610154,15357670,21330031,21329514,15357332,254730479,4399884,4399885,7000874,10609913,10609882,7000808,4399842,2636640,254333227,254730471,15357290,15357675,10610159,10610158,255397209,21329748,21329749,28554786,28554785,28554858,21329487,21329488,28554861,37055341,46933812,46933774,37055300,37055301,257434117,46933809,46933810,268916877,15357948,10610375,268070375,10610267,15357824,21330213,28555689,37056251,46934718,46934617,37056114,255826737,15357682,10610163,7000990,4399949,2636693,2636694,4399951,7000994,7001034,4399976,4399977,7001037,7001145,7001143,10610387,13178789,8983326,5864795,3661471,3661474,5864797,8983329,13178797,15357902,21330306,25094493,18547819,13178754,13178749,13178748,18547808,25094484,28555571,25094434,25094435,21330118,268139116,18547797,25094476,32793514,257172715,41709648,41709647,41709650,41709651,37056306,32793482,30913385,30913386,39523868,37056188,28555609,28555610,25094456,18547782,13178731,8983287,8983285,13178727,18547778,25094452,18547858,13178785,8983322,8983321,13178783,13178709,13178708,18547750,21330300,25094500,18547826,13178761,8983297,5864781,3661463,3661464,5864783,8983302,13178716,13178717,18547761,18547801,13178742,13178743,10610192,10610191,15357731,21330114,25094469,18547788,13178734,8983289,8983290,13178739,255245444,32793509,28555586,256107984,46934662,41709641,41709642,41779157,41779156,52020338,41709693,37056165,37056163,37056162,268139118,255245452,7001032,7001031,10610237,15357791,21330176,28555527,37056138,256108008,52092269,41779025,255245464,54648511,256107990,41779144,46934625,37056124,28555553,21330067,21330066,23781665,17451426,17451428,23781669,28555560,21330080,21330074,15357704,15357698,15357697,21330062,28555539,37056149,46934643,58300784,71015986,84580315,98505505,260516343,126372401,139748487,152470752,148328628,135156181,121306406,107014105,92681867,78627591,269538491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5739711, s2 = 14165333, dlinesl.size( ) = 28 s1 = 7355227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358069, s2 = 5229133, int(edited[s2]) = 0 s1 = 10358069, s2 = 5229133, d1 = 78, d2 = 34 Dl.O(d1) = 265276043,225230524,274484877,213350399,264326764,196397461 Dl.O(d2) = 220272786,217130314,264601574 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5461266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5461266, s2 = 11794815, int(edited[s2]) = 0 s1 = 5461266, s2 = 11794815, d1 = 28, d2 = 30 Dl.O(d1) = 225210162,265776627,230496693,231868015,233102288,266336222,231580780,231580779,232839754,233978632,235015955,234217972,233102290,231868017,230496694,230496695,231868018,233102292,234217977,235231780,235960115,235015974,233978657,232839787,231580808,231580793,230176483,228594717,228594716,230176481,266135873,232839762,233978637,266441175,266430816,232839779,231580801,230176489,230176491,231580802,232839781,232839771,231580792,266135873,232839762,232839769,231580791,230176480,230176481,266135873,232839762,233978637,266441175,266430816,232839779,231580801,230176489,230176491,266001876,265726822,222358339,222358338,224733394,226795895 Dl.O(d2) = 72101075,59368482,47978320,38066394,29503182,29503186,26395921,26395920,22780278,22780275,30169251,268408908,37223994,28698198,21446393,15449869,10682096,7056408,4442259,4442260,7056410,10682099,13010089,12711950,10656111,7036716,7035048,4426142,4426146,2757028,2465111,1425011,877467,865827,491040,275768,152357,152352,152301,152295,275527,490310,869351,1532252,2650085,4417989,7024433,10640198,15395456,21377155,28612700,37123549,47010503,58381580,58381577,47010500,47010501,58381578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5461266, s2 = 11794815, dlinesl.size( ) = 2 s1 = 5461266, s2 = 11794815, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5461266, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 8813151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5693736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5693736, s2 = 15080926, int(edited[s2]) = 0 s1 = 5693736, s2 = 15080926, d1 = 13, d2 = 2 Dl.O(d1) = 231874749 Dl.O(d2) = 32468290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5693736, s2 = 15080926, dlinesl.size( ) = 2 s1 = 5693736, s2 = 15080926, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5693736, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 10361159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361159, s2 = 5442344, int(edited[s2]) = 0 s1 = 10361159, s2 = 5442344, d1 = 25, d2 = 0 Dl.O(d1) = 266522835,266436246,274561546 Dl.O(d2) = 224627066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361159, s2 = 5442344, dlinesl.size( ) = 20 s1 = 7327495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7327495, s2 = 7483801, int(edited[s2]) = 0 s1 = 7327495, s2 = 7483801, d1 = 50, d2 = 63 Dl.O(d1) = 265462117,227267118,265919297 Dl.O(d2) = 267102989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7327495, s2 = 7483801, dlinesl.size( ) = 42 s1 = 5643859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5644321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5644321, s2 = 15151834, int(edited[s2]) = 0 s1 = 5644321, s2 = 15151834, d1 = 0, d2 = 30 Dl.O(d1) = 230571065 Dl.O(d2) = 274545986,230991884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5644321, s2 = 15151834, dlinesl.size( ) = 2 s1 = 5644321, s2 = 15151834, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5644321, Dl.E( ) = 38, 1.31e-05 seconds used appending s1 = 7274966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5646419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13842601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16359657, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5647408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5698381, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10361456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8829991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8829991, s2 = 8938447, int(edited[s2]) = 0 s1 = 8829991, s2 = 8938447, d1 = 1, d2 = 1 Dl.O(d1) = 42377677,52776614,256159780,77880552,91803164,105998231,120199298,134032636,147249312,159604686,170929332,261476022,204082608,209517626,213977012,217637551,220692189,220692190,217637552,263743288,223290676,225536778,227490505,229198496,230707973,232053123,233264994,234362558,274539410,266181154,238551757,239184062,266559226,240797808,241258767,241685306,266885264,242779695,243093448,243387934,243109095,242796344,242459386,242096091,241702531,241276320,240816315,266769704,239210132,266559228,237141270 Dl.O(d2) = 42377677,52776614,256159780,77880552,91803164,105998231,120199298,134032636,147249312,159604686,170929332,261476022,204082608,209517626,213977012,217637551,220692189,220692190,217637552,263743288,223290676,225536778,227490505,229198496,230707973,232053123,233264994,234362558,274539410,266181154,238551757,239184062,266559226,240797808,241258767,241685306,266885264,242779695,243093448,243387934,243109095,242796344,242459386,242096091,241702531,241276320,240816315,266769704,239210132,266559228,237141270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8829991, s2 = 8938447, dlinesl.size( ) = 2 s1 = 8829991, s2 = 8938447, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8829991, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13179543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7765351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7765351, s2 = 14261253, int(edited[s2]) = 0 s1 = 7765351, s2 = 14261253, d1 = 63, d2 = 4 Dl.O(d1) = 274616753 Dl.O(d2) = 39721,73039,73403,39724,39719,73377,134936,133854,133851,242015,428806,754711,759983,785452,445038,250453,250450,445027,785435,1380591,2384961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7765351, s2 = 14261253, dlinesl.size( ) = 44 s1 = 5650502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9052082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9052082, s2 = 5114277, int(edited[s2]) = 0 s1 = 9052082, s2 = 5114277, d1 = 113, d2 = 16 Dl.O(d1) = 266249088 Dl.O(d2) = 212343033 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5700931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9549531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8881942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5651398, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7357614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7357614, s2 = 5536599, int(edited[s2]) = 0 s1 = 7357614, s2 = 5536599, d1 = 16, d2 = 45 Dl.O(d1) = 265802281 Dl.O(d2) = 230740921,229234952,227531132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7357614, s2 = 5536599, dlinesl.size( ) = 24 s1 = 5597437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7357887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7763222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7763222, s2 = 5474571, int(edited[s2]) = 0 s1 = 7763222, s2 = 5474571, d1 = 17, d2 = 19 Dl.O(d1) = 274583741 Dl.O(d2) = 225676032,273647918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7763222, s2 = 5474571, dlinesl.size( ) = 20 s1 = 5653052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4399645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4399645, s2 = 8894497, int(edited[s2]) = 0 s1 = 4399645, s2 = 8894497, d1 = 25, d2 = 31 Dl.O(d1) = 172589690,273816657 Dl.O(d2) = 266207246,265970454,230238796,274263952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4399645, s2 = 8894497, dlinesl.size( ) = 26 s1 = 8889149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8889149, s2 = 8913607, int(edited[s2]) = 0 s1 = 8889149, s2 = 8913607, d1 = 4, d2 = 7 Dl.O(d1) = 65774394,79129689,263404957,198718206,205049190,264666019,218101928,221056253,223583442,225773712,227683942,229358466,229358456,227683935,227683936,265945879,230843883,230843885,232172317,233371473,233371458,232172242,232172241,233371456,266390413,266437084,234459285,233371518,232172324,230843902,230843903,230843802,229358401,227683887,225773662,223583412,221056236,221056235,223583410,225773660,265809757,228523190,226714325,224639372,265580835,265736578,265409236,223583458,225773733,227683969,229358498,230843897,232172320,233371478,232172268,230843832,230843830,232172252,232172251,232172312,230843889,229358491,229358493,230843854,230843853,232172291,233371496,233371499,232172296,230843857,229358471,229358470,230843856,266010336,227683949,227683950,229358476,230843867,230843837,229358445,227683924,225773705,225773704,265809759,230843834,231523608,230112635,230112634,228523194,227683879,225773657,265220632,265319973,223583454,223583455,225773698,223583434,221056245,218101922,218101924,221056247,223583437,225773700,225773685,225773681,223583425,223583427,225773683,227683908,229358424 Dl.O(d2) = 205049188,264400779,214579361,218101914,265319971,225773653,225773708,225773707,227683927,228523190,226714325,226714324,266241563,234972436,235449457,236353230,235449459,266241566,232172264,232172265,233371475,234459258,235449460,236353233,236353231,236353230,267030623,274921073,243420633,274958175,267310162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8889149, s2 = 8913607, dlinesl.size( ) = 2 s1 = 8889149, s2 = 8913607, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8889149, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14166182, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7357269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7357269, s2 = 14142159, int(edited[s2]) = 0 s1 = 7357269, s2 = 14142159, d1 = 33, d2 = 40 Dl.O(d1) = 265797748 Dl.O(d2) = 182913898,173016433,161851529,149546939,136281748,122305473,107889753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7357269, s2 = 14142159, dlinesl.size( ) = 32 s1 = 7279357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5061451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5061451, s2 = 14138007, int(edited[s2]) = 0 s1 = 5061451, s2 = 14138007, d1 = 59, d2 = 1 Dl.O(d1) = 210497379,274165951,221157240,265503903,223667262,225842291,274583459,265813379 Dl.O(d2) = 265949169,225842308,223667272,223667273,265665391,223667267,265813385,225842312,225842294,223667265,223667263,221157218,218225669,214736615,214736613,218225666,221157213,221157233,221157234,221157217,221157216,223667262,265665389,225842292,223667274,223667275,223667271,223667270,221157238,218225686,214736628,210497378,205309294,205309295,205309289,205309290,264673709,265325149,225842297,225842300,265325151,264912917,210497372,210497373,214736619,218225673,221157221,223667261,221157214,218225667,265129081,218225687,214736628,210497378,210497376,214736624,218225679,221157229,218225682,214736626,214736625,218225680,221157228,223667273,265665391,223667267,221157220,264912917,214736616,210497374,210497373,214736619,218225674,221157224,221157231,223667257,223667261,223667256,221157215,218225667,214736614,214736613,218225666,221157213,223667260,221157239,218225687,214736628,210497378,210497376,214736624,218225678,221157228,223667273,265665391,225842298,265503905,221157217,218225668,214736615,214736613,218225664,221157210,221157215,218225667,214736614,210497370,205309289,205309290,264673709,218225670,218225665,218225666,265325147,265122711,264905567,210282323,205034857,198701082,191224673,182540517,172610839,161432678,149146810,135923820,121997247,107623468,260347246,106675880,92371848,78339013,65060183,256178986,42630333,33605429,25807657,25807656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5061451, s2 = 14138007, dlinesl.size( ) = 24 s1 = 9295979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5705267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5656208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7332275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8939132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7359029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8898512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4052040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5708227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7781338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7781338, s2 = 14004484, int(edited[s2]) = 0 s1 = 7781338, s2 = 14004484, d1 = 80, d2 = 76 Dl.O(d1) = 274848148,266331546,232291553,232291554,266081948,265823190 Dl.O(d2) = 263234332,206897567,201390135,262333606,176760171,166127211,261825558,141735533,128390451,260112710,166127209,166127208,176760170,261825560,260709560,258873448,258873444,258873446,260112708,166127204,176760162,262333604,201390119,206897562,263807126,176119353,176119352,263234328,186168236,261282798,154382562,166127232,176760202,176760197,166127228,166127229,176760199,186168267,194367614,200923878,193843253,185583943,176119354,165437146,165437147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7781338, s2 = 14004484, dlinesl.size( ) = 26 s1 = 8867460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10275106, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7359605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10273384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7763554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5660072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5660072, s2 = 5194165, int(edited[s2]) = 0 s1 = 5660072, s2 = 5194165, d1 = 28, d2 = 30 Dl.O(d1) = 265084410,227883758,229535484,231002364,232316943 Dl.O(d2) = 228361303,265996135,228361304,228361297,228361298,274522564,265594774,222018435,222018436,222018437,219204863,219204862,274346625,219204855,219204856,222018436,222018437,222018441,224434364,226532858,265996135,265891162,228361305,228361300,226532856,224434363,222018439,219204860,219204859,219204861,219204858,215871479,211841500,206908463,206908462,211841498,215871475,211841497,206908460,200936825,200936824,206908458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5660072, s2 = 5194165, dlinesl.size( ) = 2 s1 = 5660072, s2 = 5194165, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5660072, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 5709707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5709707, s2 = 7261301, int(edited[s2]) = 0 s1 = 5709707, s2 = 7261301, d1 = 128, d2 = 176 Dl.O(d1) = 232324528 Dl.O(d2) = 264697571 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7768022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7768022, s2 = 2692435, int(edited[s2]) = 0 s1 = 7768022, s2 = 2692435, d1 = 80, d2 = 77 Dl.O(d1) = 274657399,231012255 Dl.O(d2) = 10090478,14670990,20444793,20693590,14836572,14836571,20693583,27801986,36184591,45941326,56700174,45560029,45560026,257963831,270075996,258336741,51238793,41070462,32268921,256586649,51238794,52727967,64628899,77811848,91739411,82084267,68559371,68559372,71178682,69431726,60021964,48631377,38715334,30136779,22751567,16540848,11528031,7668682,7668684,11527988,14645849,10074595,6665020,6665016,6618288,4172826,4172823,6611703,6611702,4182512,2500986,1443016,1443011,2500988,1443016,1443013,2501012,1443232,1443227,2501614,4173574,4173572,6665346,10148363,268186809,27615982,35903994,45543045,56679082,69241997,57330076,46052912,46052911,46123029,36316235,36316234,46122985,44913595,35464628,35464624,44913538,35880165,27598954,27598956,27857974,27857972,27466149,20476784,20476780,14693322,10105121,10105116,14693343,20477368,27467386,35122333,27558977,27558972,35634178,35634175,36090434,27847893,27487119,27487115,32762091,27511481,20504190,14710259,12233730,8260496,8260499,12233748,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260891,260886,463042,818850,1443013,2501017,1443260,1443257,2496112,1440847,1440844,2496150,4175730,6668478,10152435,14762233,20580163,27627286,35576037,35576032,35952462,35952459,36191308,27806595,27806594,36191306,45950693,45258766,45258764,256732828,27492945,35711607,45258780,56297376,258574265,81523623,95555558,109758938,262096825,159056497,159056498,155667353,143115722,143115723,129785910,115887729,101843324,87871397,74269947,257177730,31320081,23830013,17491810,12333131,12333129,17491806,23830005,31320072,257066673,269492023,52219295,64060805,77201969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7768022, s2 = 2692435, dlinesl.size( ) = 2 s1 = 7768022, s2 = 2692435, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7768022, Dl.E( ) = 82, 5.39e-05 seconds used appending s1 = 10282106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5798652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5798652, s2 = 8859203, int(edited[s2]) = 0 s1 = 5798652, s2 = 8859203, d1 = 47, d2 = 0 Dl.O(d1) = 234601854,233524585,233524583,233524584,266386484,266334232 Dl.O(d2) = 227955728,226089614,223946615,265204346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5798652, s2 = 8859203, dlinesl.size( ) = 32 s1 = 7317301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5711075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8929050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5551034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13894047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6963543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5713500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8917892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8917892, s2 = 15337896, int(edited[s2]) = 0 s1 = 8917892, s2 = 15337896, d1 = 78, d2 = 62 Dl.O(d1) = 236898602,237340237,236530838,266330726,233605679,232433668,231137381 Dl.O(d2) = 270661738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8917892, s2 = 15337896, dlinesl.size( ) = 20 s1 = 10360963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360963, s2 = 11997762, int(edited[s2]) = 0 s1 = 10360963, s2 = 11997762, d1 = 21, d2 = 10 Dl.O(d1) = 265218575,274752494,266898960,234675299,274590604,226211231,226211230,265839417,231141952 Dl.O(d2) = 266095975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4434011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8464183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8464183, s2 = 8187266, int(edited[s2]) = 0 s1 = 8464183, s2 = 8187266, d1 = 6, d2 = 3 Dl.O(d1) = 139731806,270649220,112488287,123734087,109542295,109542294,95287514,81229658,67763531,58712971,47489753,47489754,50072353,255734104,87930262,101903619,115949240,129848710,143179756,155733452,271649642,184708450,272454682,200251471,206314550,211328079,263793702,218810876,221670328,224125985,226255981,265134510,231181124,232476082,233647101,234712508,266076686,237372652,238104139,238769690,239381430,239945624,240468246,240953453,266835556,241057581,240582339,240070055,239517218,238918529,238266892,237550930,236762215,266076690,233903856,232759835,231494434,230082333,230082334,231494431,232759832,233903852,234946770,235896427,235896432,234946772,233903854,232759833,232759834,233860593,234906693,235859208,236726973,237517924,238236256,238890418,239491367,240045962,240560105,241037374,241480012,241890845,242269824,242621020,242947752,243252568,243010976,242689855 Dl.O(d2) = 274893969,239623825,239034351,238393652,237690853,236917014,236066786,235132093,235132094,235132092,234104125,232974386,231726467,230337420,228774576,227000227,224965813,222623722,219895889,216663639,212765011,207997816,207997817,202217215,195342342,187302127,187302128,187302129,178064332,272907045,155989293,155989294,143448718,130116756,116205487,102144156,88153094,74538171,61754114,50273885,50273884,60267538,48875243,256992302,22968094,16732302,16732301,256453553,48875241,38955695,30369595,22968100,16732305,11689706,7796026,7796027,11689709,16732311,22968113,30369618,38955735,257578025,55294308,67632260,62987704,51309386,256595818,24699908,24699907,32313450,38955712,48875262,38955726,38955725,48875281,44449911,35075124,26990902,26990903,35075127,38955719,48875272,60267558,49274155,268662361,30748292,39347951,257604937,49274150,49274149,49274151,48875286,48875285,52637694,42252509,42252508,39347947,39347946,49274146,41126477,32313416,32313417,41126479,41126480,32313420,32313419,39049876,32313438,32313437,41126502,46685824,46685823,41126483,41126482,41126481,256578150,18230104,18230103,24699891,32313426,30460267,23052473,23052472,18230118,18230117,24699913,32313455,41126523,51309397,62987718,75970232,86712136,100688378,114738436,128639990,142003740,154648219,166365165,176957840,186327393,186327396,186327397,194495822,201493297,207206052,201286893,194254366,186044565,262712632,154227588,141566870,141566871,154227589,261718956,128210935,114328282,100298194,86336404,72739286,72739285,60002740,48611509,38695918,30119311,29737859,29737860,31894209,29626692,255900018,25019406,18489222,13135475,8952226,5843109,3646212,3646213,5843111,8653917,8963453,13150833,18489221,18154570,12873753,8754986,5824066,5628868,5628869,5850711,5850712,5774632,5774631,8859525,13012609,8960879,5849068,3650255,3650254,2921762,1694799,963711,543085,543084,963705,1694785,2921732,4848722,7663630,5699530,3546448,2111818,1216849,1216848,2111813,1216854,1216855,2111837,3546480,5699582,8754239,8755169,254890103,11831872,11520862,7663663,7663662,11520860,16530562,12734985,8754086,8754087,8754091,5699476,5699477,8754093,12872575,18153074,12872570,12872571,12872552,12872551,12873826,12873965,12873964,12898174,12873978,12873979,12873698,8754951,8754950,12873697,18154494,18155034,12874132,12874131,18155032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8464183, s2 = 8187266, dlinesl.size( ) = 2 s1 = 8464183, s2 = 8187266, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8464183, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7361342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7361342, s2 = 4073378, int(edited[s2]) = 0 s1 = 7361342, s2 = 4073378, d1 = 81, d2 = 25 Dl.O(d1) = 265844963 Dl.O(d2) = 184556838,273697759,192945138,184556837,264166131,184556839,174950793,174950792,273524189,192945139,184556839,174950793,164129719,152242871 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13899165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5686700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7361768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7361768, s2 = 11492994, int(edited[s2]) = 0 s1 = 7361768, s2 = 11492994, d1 = 76, d2 = 74 Dl.O(d1) = 265849579 Dl.O(d2) = 264805533,264274019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7361768, s2 = 11492994, dlinesl.size( ) = 18 s1 = 7363738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7363738, s2 = 13862792, int(edited[s2]) = 0 s1 = 7363738, s2 = 13862792, d1 = 35, d2 = 69 Dl.O(d1) = 265870034 Dl.O(d2) = 265207122,274278032,226343413,226343412,228187804,274411542,265396442,264998180,224226317,221784213,218936441,215561806,263166986,262254562,255918922,21563866,15542149,13768917,9438605,6186893,3871754,2318642,1344262,1344266,1344234,1300072,1300070,1370019,2341555,2341557,2331230,2331228,3893648,254667865,13830154,19338813 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5496005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5496005, s2 = 9734031, int(edited[s2]) = 0 s1 = 5496005, s2 = 9734031, d1 = 7, d2 = 15 Dl.O(d1) = 226359713,265286366 Dl.O(d2) = 265924308,266632299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5496005, s2 = 9734031, dlinesl.size( ) = 8 s1 = 8823008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9576081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9576081, s2 = 9051490, int(edited[s2]) = 0 s1 = 9576081, s2 = 9051490, d1 = 101, d2 = 104 Dl.O(d1) = 224265618,226380284,264285682 Dl.O(d2) = 236628992,236628993,237428798,238154827,266025962,266254772,239885105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8849121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8849121, s2 = 6117429, int(edited[s2]) = 0 s1 = 8849121, s2 = 6117429, d1 = 103, d2 = 72 Dl.O(d1) = 226396851,265853535,231287949,232574690,231287952,231287951,231287950,232574692,274663963,233736802,232574694 Dl.O(d2) = 267218328,243042468,242725818,242385921,242019133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8849121, s2 = 6117429, dlinesl.size( ) = 60 s1 = 10282270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5719227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5670831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7222043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7362425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7362425, s2 = 7347805, int(edited[s2]) = 0 s1 = 7362425, s2 = 7347805, d1 = 19, d2 = 33 Dl.O(d1) = 265856435 Dl.O(d2) = 265692682,265357958,274181181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7362425, s2 = 7347805, dlinesl.size( ) = 34 s1 = 8849527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8783238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8783238, s2 = 8849559, int(edited[s2]) = 0 s1 = 8783238, s2 = 8849559, d1 = 6, d2 = 9 Dl.O(d1) = 263016896,206755642,211706677,215753311,219100040,221925904,224351790,225872848,224351803,221925921,219100050,215753315,211706681,211706683,215753318,219100053,221925923,224351807,226457728,228291906,229902030,231331379,232612785,232612780 Dl.O(d2) = 224351793,226457704,265506842,226457726,274325850,265328198,226457702,224351792,224351793,226457703,265506838,266327519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8783238, s2 = 8849559, dlinesl.size( ) = 12 s1 = 10272949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10272949, s2 = 11237186, int(edited[s2]) = 0 s1 = 10272949, s2 = 11237186, d1 = 13, d2 = 24 Dl.O(d1) = 269497915,261432125,262927523,263716135,264626847,217513186,265928085,231753252,274526861,265609945,265503916,273955294,143600712,260748481,102344014,259759068,257097111,40401927,50435965,61926433,259536975,116436958,130273547,143600719,153450252,153450261,153450262,165249892,175952283,185435669,193711275,196103661,196103659,200807178,193711579,263815820,200807181,199149256,191753190,183152738,173315308,173315309,183152742,191753194,190807737,182083345,182083344,190807731,198323620,196103933,196103932,202862686,264598915,274222271,222863575,265441844,273895248,264300528,212838297,264300531,195444080,187417175,273287230,271878347,272274969,272911791,273586065,264698120,222673673,225009632,265519586,266151671,274732291,237702699,274800625,274874140,242350574,242694133,243014946,267182804,274967180,267340208,245086434,245246304,275012177,245794447,245729806,267449553,267416955,244994979,244818307,274981445,243458017,243729183,267340207,244818305,244994976,267416956,244915316,244732987,244537572,267269014,243858701,243597584,243315975,267115004,267036116,241581576,274827328,238404791,237702701,274657392,266084870,231753255,230367647 Dl.O(d2) = 254117883,145831,145830,263284,468075,825088,1457269,1457277,2528683,3721968,2541512,2541511,2533030,1459681,1459682,2533034,4236635,2544781,2544779,2532420,1469933,1469934,2532486,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,5935150,3711077,2222318,2222319,3711081,5935166,4268214,2551857,2534258,2222270,2222269,3710818,2222180,2222177,1289081,1289080,2222186,3710834,5934730,6769876,4243015,4243014,3723493,3723495,5954071,9100113,12094095,8133315,5210877,5210879,6776819,6776818,5948600,3720033,3720032,3720270,2227652,2227651,3720266,4854577,5374103,5944268,5941723,3715394,3715395,5941731,9084179,5942673,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249263,6237658,6237660,9510176,10297968,6770728,4243692,3372154,3372151,1984285,1984284,3372192,5480063,254357664,8597138,12661430,17231257,17231258,20868456,255786737,23482941,18664158,13272464,13272463,254713107,6827812,5926713,5926711,9064016,13279640,255363063,14981710,14968392,10300572,10300573,254710186,6832535,6773094,4245318,4245319,4245467,6773291,6773530,4245625,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565350,1477208,835213,470767,470766,835206,1477191,2565311,4290777,6838601,6838605,10378317,15052229,14995062,14995064,12658838,8594612,8594611,7721072,4887154,4887155,7721077,11598764,14991159,18690394,13297233,13297232,12330508,12330509,256519349,257648779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10272949, s2 = 11237186, dlinesl.size( ) = 30 s1 = 16395183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054869, s2 = 5672953, int(edited[s2]) = 0 s1 = 15054869, s2 = 5672953, d1 = 0, d2 = 2 Dl.O(d1) = 219458368 Dl.O(d2) = 231354837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054869, s2 = 5672953, dlinesl.size( ) = 38 s1 = 8872995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7371304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9290355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13882573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5722064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5722064, s2 = 8836758, int(edited[s2]) = 0 s1 = 5722064, s2 = 8836758, d1 = 1, d2 = 4 Dl.O(d1) = 232650322 Dl.O(d2) = 231372092,231372093,232650321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8873203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5722222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9727324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5674161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5674161, s2 = 7690838, int(edited[s2]) = 0 s1 = 5674161, s2 = 7690838, d1 = 16, d2 = 0 Dl.O(d1) = 231381181 Dl.O(d2) = 175320281,272705216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5674161, s2 = 7690838, dlinesl.size( ) = 54 s1 = 13910185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13910185, s2 = 4621383, int(edited[s2]) = 0 s1 = 13910185, s2 = 4621383, d1 = 81, d2 = 5 Dl.O(d1) = 234870306,274724497,237490199,238209919,238865600,266660018,236697027,235826460,234870317,266418546 Dl.O(d2) = 185817408,272189300 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5723193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7400832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8859202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5676147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5724399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8839618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5724579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5724579, s2 = 11344762, int(edited[s2]) = 0 s1 = 5724579, s2 = 11344762, d1 = 13, d2 = 0 Dl.O(d1) = 232707156 Dl.O(d2) = 59739936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5724579, s2 = 11344762, dlinesl.size( ) = 2 s1 = 5724579, s2 = 11344762, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5724579, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 5725545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8898702, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8843048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8843048, s2 = 6090019, int(edited[s2]) = 0 s1 = 8843048, s2 = 6090019, d1 = 87, d2 = 66 Dl.O(d1) = 228476923,230070089,231483983,231483984 Dl.O(d2) = 241424900,240977825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8843048, s2 = 6090019, dlinesl.size( ) = 2 s1 = 8843048, s2 = 6090019, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8843048, Dl.E( ) = 92, 2.29e-05 seconds used appending s1 = 10301723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5812887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5727185, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5627500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5627500, s2 = 5813130, int(edited[s2]) = 0 s1 = 5627500, s2 = 5813130, d1 = 0, d2 = 10 Dl.O(d1) = 230086981,228496190,265877081,274715854 Dl.O(d2) = 234949857,266238841,231498526,230086982,228496190,265577561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5627500, s2 = 5813130, dlinesl.size( ) = 32 s1 = 7364491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7364491, s2 = 12719007, int(edited[s2]) = 0 s1 = 7364491, s2 = 12719007, d1 = 89, d2 = 112 Dl.O(d1) = 265877307 Dl.O(d2) = 221479813,223953842,223953841,221479809,221479808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7364491, s2 = 12719007, dlinesl.size( ) = 42 s1 = 5680489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7352113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7352113, s2 = 6146865, int(edited[s2]) = 0 s1 = 7352113, s2 = 6146865, d1 = 35, d2 = 28 Dl.O(d1) = 265738361,230130400,231539106 Dl.O(d2) = 242645057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7352113, s2 = 6146865, dlinesl.size( ) = 34 s1 = 9733892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8824781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9724166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5682584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5682584, s2 = 15792966, int(edited[s2]) = 0 s1 = 5682584, s2 = 15792966, d1 = 0, d2 = 10 Dl.O(d1) = 231578123 Dl.O(d2) = 222676576,219956088,216732567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5682584, s2 = 15792966, dlinesl.size( ) = 2 s1 = 5682584, s2 = 15792966, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5682584, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 13872825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5730206, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5683695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5684013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5684013, s2 = 13425662, int(edited[s2]) = 0 s1 = 5684013, s2 = 13425662, d1 = 25, d2 = 10 Dl.O(d1) = 231615141,232870610,266350349,235986501,266607525,238332625,238977492,239570703 Dl.O(d2) = 262135547,139008553,125669891,111854141,97919988,84049333,70513979,57812598,57812599,57812600,46456412,36590214,28117295,20940237,15031864,10359646,255006885,20846683,256271171,36472777,36472778,257386671,57674889,70366571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5684013, s2 = 13425662, dlinesl.size( ) = 12 s1 = 7277191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5684396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7347317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5732120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10277325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13875659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7365989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9560578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9560578, s2 = 13774498, int(edited[s2]) = 0 s1 = 9560578, s2 = 13774498, d1 = 35, d2 = 35 Dl.O(d1) = 258878090,113500191,113500190,127370174,140726545,153408385,165211230,175918077,175252465,164473258,164473257,175252464,184817736,193169243,184817734,184817733,175252480,164473266,159701599,147354720,134143823,120314003,106114112,91919223,77995017,64800711,52881343,52881344,64800725,77995029,71196079,71196078,84764324,84764321,84764322,98691353,260528105,139911643,152619490,164473265,175252477,184817754,193169269,264181769,200337002,193169246,184817740,175252468,164473259,152619486,139911639,126548187,126548188,139911641,152619487,164473262,175252476,184817751,193169262,200337018,206391213,211398284,265175157,221726886,221726885,219100067,215753333,215753332,219100066,221925929,224351812,224276681,224276682,226390195,228230839,229847271,228230836,226390193,226390194,228230837,228230845,229847284,231282857,232570356,233733317,234791444,235755639,234791450,233733322,233733323,234791452,235755647,236632904,236632903,237432361,237456716,238180249,238158136,237432347,237432348,236632892,236632894,237432353,237432352,236875182,236875181,237651744,238357129,238357138,237651756,236875194,236020752,235080346,266000786,231658870,274348682,265395970,228697505,226916570,224872756,222518420,222518421,219777121,219777120,222518425,219777123,219777122,264227954,207819602,207819564,207819563,207819566,202004076,202004075,195088524,263165392,177725214,167227546,155595907,143045920,129715277,129715276,143045918,155595903,167227539,177725197,187005253,195088498,187005257,177725200,177725201,187005259,273356650,207819568,207819579,207819578,212613057,216529482,212613051,207819572,207819571,212613050,216529487,216529493,212613060,212613061,216529494,219777138,222518445,224872782,226916595,228697533,230265394,231658881,231658880,232911631,231658888,230265392,228697527,226916592,226916585,224872773,224872772,222518437,222518438,224872776,226916591,226916599,224872786,222518447,219777140,216529498,212613064,212613063,212613080,212613076,212613075,211517269,206526404,200487678,200487679,206526406,211517272,211517277,206526409,200487681,193337218,193337219,200487682,200157530,192964294,184579422,184579421,184579424,184579423,184579425,174977244,174977245,164159715,164159716,174977248,184579426,174977251,164159719,152274451,139542686,126166863,112306126,112306125,98994167,85068184,85068183,71495712,58765885,47378656,47378654,40073312,40073311,50094194,44521927,44521926,55367958,256891714,70194828,57527642,46212253,36381842,36381841,255236308,46778028,46778027,46773895,36895710,28398204,22618871,22618872,28401801,21181107,15220271,10503038,10503039,13454061,15220287,13143680,13143678,15215671,15215673,16807060,16807061,21652979,15618496,15618498,21652983,28930214,255907070,58144465,256562828,98325801,112308920,126169664,139545454,151737582,139035124,139035123,151737581,151737589,151737588,151737592,151737593,163614121,174452547,184103439,192555980,199829839,205978355,211061733,211061741,215216256,214162125,209741644,204351546,197890327,190309023,181529205,171528437,160323556,148078109,145084588,131825488,117997747,259704136,89748797,75969854,62987350,62987349,258446628,62987355,62987356,75969859,89748804 Dl.O(d2) = 258878090,113500191,113500190,127370174,140726545,153408385,165211230,175918077,175252465,164473258,164473257,175252464,184817736,193169243,184817734,184817733,175252480,164473266,159701599,147354720,134143823,120314003,106114112,91919223,77995017,64800711,52881343,52881344,64800725,77995029,71196079,71196078,84764324,84764321,84764322,98691353,260528105,139911643,152619490,164473265,175252477,184817754,193169269,264181769,200337002,193169246,184817740,175252468,164473259,152619486,139911639,126548187,126548188,139911641,152619487,164473262,175252476,184817751,193169262,200337018,206391213,211398284,265175157,221726886,221726885,219100067,215753333,215753332,219100066,221925929,224351812,224276681,224276682,226390195,228230839,229847271,228230836,226390193,226390194,228230837,228230845,229847284,231282857,232570356,233733317,234791444,235755639,234791450,233733322,233733323,234791452,235755647,236632904,236632903,237432361,237456716,238180249,238158136,237432347,237432348,236632892,236632894,237432353,237432352,236875182,236875181,237651744,238357129,238357138,237651756,236875194,236020752,235080346,266000786,231658870,274348682,265395970,228697505,226916570,224872756,222518420,222518421,219777121,219777120,222518425,219777123,219777122,264227954,207819602,207819564,207819563,207819566,202004076,202004075,195088524,263165392,177725214,167227546,155595907,143045920,129715277,129715276,143045918,155595903,167227539,177725197,187005253,195088498,187005257,177725200,177725201,187005259,273356650,207819568,207819579,207819578,212613057,216529482,212613051,207819572,207819571,212613050,216529487,216529493,212613060,212613061,216529494,219777138,222518445,224872782,226916595,228697533,230265394,231658881,231658880,232911631,231658888,230265392,228697527,226916592,226916585,224872773,224872772,222518437,222518438,224872776,226916591,226916599,224872786,222518447,219777140,216529498,212613064,212613063,212613080,212613076,212613075,211517269,206526404,200487678,200487679,206526406,211517272,211517277,206526409,200487681,193337218,193337219,200487682,200157530,192964294,184579422,184579421,184579424,184579423,184579425,174977244,174977245,164159715,164159716,174977248,184579426,174977251,164159719,152274451,139542686,126166863,112306126,112306125,98994167,85068184,85068183,71495712,58765885,47378656,47378654,40073312,40073311,50094194,44521927,44521926,55367958,256891714,70194828,57527642,46212253,36381842,36381841,255236308,46778028,46778027,46773895,36895710,28398204,22618871,22618872,28401801,21181107,15220271,10503038,10503039,13454061,15220287,13143680,13143678,15215671,15215673,16807060,16807061,21652979,15618496,15618498,21652983,28930214,255907070,58144465,256562828,98325801,112308920,126169664,139545454,151737582,139035124,139035123,151737581,151737589,151737588,151737592,151737593,163614121,174452547,184103439,192555980,199829839,205978355,211061733,211061741,215216256,214162125,209741644,204351546,197890327,190309023,181529205,171528437,160323556,148078109,145084588,131825488,117997747,259704136,89748797,75969854,62987350,62987349,258446628,62987355,62987356,75969859,89748804 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13850031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7704443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7704443, s2 = 7407274, int(edited[s2]) = 0 s1 = 7704443, s2 = 7407274, d1 = 11, d2 = 9 Dl.O(d1) = 273162027,263627519,202099571,274515632,231682364 Dl.O(d2) = 266338676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7704443, s2 = 7407274, dlinesl.size( ) = 8 s1 = 7366322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5734276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9719171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5687671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5735488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8876291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5737130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9295489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13901407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9562926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9562926, s2 = 2973012, int(edited[s2]) = 0 s1 = 9562926, s2 = 2973012, d1 = 89, d2 = 0 Dl.O(d1) = 262908475,189082257,264039131,264587492,202497022,195670733,187691560,187691559,195670731,265060081,265615159 Dl.O(d2) = 89035110,75307031,257700663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9562926, s2 = 2973012, dlinesl.size( ) = 71 s1 = 9048873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9048873, s2 = 11573069, int(edited[s2]) = 0 s1 = 9048873, s2 = 11573069, d1 = 0, d2 = 6 Dl.O(d1) = 188116713 Dl.O(d2) = 218204345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9048873, s2 = 11573069, dlinesl.size( ) = 26 s1 = 5740338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10354366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354366, s2 = 8937670, int(edited[s2]) = 0 s1 = 10354366, s2 = 8937670, d1 = 11, d2 = 11 Dl.O(d1) = 18647309,267856340,41472757,32595852,268283922,51741454,269961057,90272154,260228675,132444880,265460803,265918293,231889237,266821051,239458259,274813590,237753814 Dl.O(d2) = 18647309,267856340,41472757,32595852,268283922,51741454,269961057,90272154,260228675,132444880,265460803,265918293,231889237,266821051,239458259,274813590,237753814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354366, s2 = 8937670, dlinesl.size( ) = 2 s1 = 10354366, s2 = 8937670, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10354366, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 8937671, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10360501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5760349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7330003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7330003, s2 = 8879194, int(edited[s2]) = 0 s1 = 7330003, s2 = 8879194, d1 = 38, d2 = 76 Dl.O(d1) = 265491902 Dl.O(d2) = 274618240,274618244,266477866,266289264,265804629,265655178,265311390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7330003, s2 = 8879194, dlinesl.size( ) = 54 s1 = 13867307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8814199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8884362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8937150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7369085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7369085, s2 = 11162616, int(edited[s2]) = 0 s1 = 7369085, s2 = 11162616, d1 = 77, d2 = 1 Dl.O(d1) = 265928391 Dl.O(d2) = 70402444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7369085, s2 = 11162616, dlinesl.size( ) = 82 s1 = 13762107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9680389, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9291445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5745878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7381624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9459757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9459757, s2 = 15297205, int(edited[s2]) = 0 s1 = 9459757, s2 = 15297205, d1 = 51, d2 = 55 Dl.O(d1) = 156059455,167664769,178123785,176680233,166040854,154289086,141634084,128283963,114407963,100384994,258796051,60098521,48702752,38780279,30195726,22804898,16587439,11567332,7699183,7699184,267972886,4765335,2937267,2798777,2798778,4646282,2936454,1702895,967989,967991,1702903,2936471,4873103,7146633,7146634,10738919,7095343,4467426,4467428,7095351,10738937,14368366,14368364,11333806,11333805,16290639,16290873,11333971,11333975,9901448,9901450,14395309,20077846,21592020,15627360,14383355,14376000,14375999,11567968,11567967,10766190,7700765,7700763,254103410,22807208,30198103,38782594,254565968,67550974,55207336,44356938,38594153,30021542,30021543,267880970,59902384,58777651,48703743,254970628,22805881,22805880,30196690,30199245,38783612,254795734,48699040,60095101,58065166,58065165,58176936,58176935,70891115,84448141,84341294,70782621,70782620,84341291,258074214,47041230,37150897,37150899,47041229,256862553,37150890,37150883,37150882,37150879,37150877,47041219,58415887,71137409,58415941,58415940,71137447,58415930,47041259,37150926,37150927,47041261,37150940,28635883,28635884,37150942,47041279,58415943,71137461,84707209,260106710,257571492,37150915,37150916,38297575,29730419,22373446,16218142,16218141,18168968,17266075,12145726,8175547,5245144,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,16649189,11617203,11617202,16649187,17844500,12637731,8580470,8580472,12637734,17846116,24216548,26632900,26395565,19661387,14095133,9694474,267825658,19663805,26397823,34262125,26384399,22626881,16441087,11455214,8087842,8087841,12030474,17117003,17117004,19817650,14195584,14195583,17118727,16399601,11416040,7586985,7586986,11416043,12032575,17116523,17122179,22887102,22887099,20796728,20796726,15466586,10694530,7065357,4448512,2672624,2672628,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,7912059,8527083,11838766,7911947,5029772,5029773,4448607,4448611,7065557,10694865,15467083,17329815,12204766,12204765,12724750,12724754,17956620,14094920,14094921,19663529,26397551,34272776,43371640,36699417,28208523,21015620,21015619 Dl.O(d2) = 7020975,254954339,6319648,3961637,3961642,6319541,3961535,2375453,2375455,2390576,1383767,1383770,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376190,1376189,1376636,783355,444000,444002,783365,1376678,1377348,1339137,1339135,2307973,3852175,6156422,9396854,6235396,3903736,2337811,1354945,772802,438905,438906,772809,1354973,2337869,3903823,6235550,9507042,9584237,6291201,6291199,9584231,13958986,13825579,9634509,9484297,6219168,3892690,3892688,2379703,2372701,1373655,1373654,1376786,1376781,1383739,1383736,2373520,1384007,1384010,2391067,3989653,6320645,6321759,6321758,9622453,14004214,19554718,26275550,33894098,42940571,269541891,259084901,77723857,64541964,52642771,256171254,25517275,18907487,18907488,17541186,12372342,8360339,5396217,3318226,1952075,1952076,2708303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9459757, s2 = 15297205, dlinesl.size( ) = 12 s1 = 5700152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5700152, s2 = 5641857, int(edited[s2]) = 0 s1 = 5700152, s2 = 5641857, d1 = 0, d2 = 21 Dl.O(d1) = 232070119 Dl.O(d2) = 233085554,231849754,230476835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5700152, s2 = 5641857, dlinesl.size( ) = 16 s1 = 7369799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13865133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13865133, s2 = 5650668, int(edited[s2]) = 0 s1 = 13865133, s2 = 5650668, d1 = 20, d2 = 40 Dl.O(d1) = 230748096 Dl.O(d2) = 227541639,229243592,230748092,232089330,232089320,230748084,265425074,227541635,229243589,265595206,229243598,230748097,230748099,265425080,227541642,229243598,230748097,230748099,265425080,274208110,220770519,217731294,263963776,263228306,160099007,260104796,53069399,42622094,33597763,25800945,22147583,17873720,12657282,255202071,24251120,18703973,13310830,255250465,25276475,25606317,33371093,25790596,19145594,13670586,13670585,19145593 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8868459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5701284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5701299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5701299, s2 = 14146115, int(edited[s2]) = 0 s1 = 5701299, s2 = 14146115, d1 = 12, d2 = 11 Dl.O(d1) = 232102591,233310201 Dl.O(d2) = 266568013,237981867,238661636,238661640,238661641,238661642,237981872,266712919,237606250,236823997,235963863,235019711,233982604,266441560,231585260,230181382,228599873,226801637,265588290,216329082,212383871,207560640,201712435,273880931,186644382,177319131,166762492,155064050,142419162,129045563,115118802,101045241,87050082,87050080,73432657,60684758,49283685,39356626,30755818,23333118,17066583,17066581,15863695,15863694,21955237,29279780,37847245,30119261,22737385,22737384,30119259,38695883,37379998,28839829,21568347,15546130,10751983,7103527,7103526,10751981,15546127,21568341,28839818,29280250,21955521,21955522,29280252,37847937,47770944,47770060,37847265,29279797,29279765,29279766,37847222,32637829,24967668,18448564,18448565,24967672,32637836,41524107,51802040,48333218,48333219,41523598,32637381,24967399,24967398,32637376,39390726,30788310,30788309,39390722,32604100,30788314,23362837,23362838,29235462,32637902,32637905,32353789,32353790,41030874,32637863,32637862,41524125,41524033,41524035,33678286,33678285,42708185,47289419,47289418,40188897,34096930,26234381,26234380,29338559,28231002,28231003,36724781,32637479,24967453,24967452,32637473,41523702,43214235,41524116,32637850,24967680,18448570,13105278,8931687,5829694,5829695,8931692,13105293,18448604,24967734,32637939,32637624,24967541,18448486,13105237,13105240,18448496,24967559,28909845,29456884,29456885,32637868,24967685,24967687,32604094,25422131,25422132,33164472,26261379,26261378,34127561,43215342,50210694,41523803,33111501,33111502,42060712,46612413,46612412,47501656,58880995,63587469,59168694,47770006,47770008,51802086,51802018,41524083,32637819,24967663,18448559,18448556,18448590,13105286,13105284,18448581,24967702,32637895,24967720,18448596,18448594,24967715,32637909,28909847,21635280,15603578,15603577,21635277,28909836,37449398,47356085,43213873,43213874,43215335,50063717,50063718,58114781,58114780,70829783,65783726,53727326,52404556,52404558,53727330,43215332,43215331,51422192,43213886,34126295,34126294,43213882,47356067,37449384,37449386,47356069,53727360,43215366,34127576,34127575,43215363,53727357,61517325,50038466,40019017,31339738,23847019,17505233,17505232,18448368,13105174,13105175,18448373,24967350,32637302,41523518,47766223,37843571,268672995,23571628,23571626,31054916,39732902,42499497,43213910,43213911,47356080,47356079,47709758,47709757,41482565,41482563,51752537,58616385,58616387,63587894,257670272,48319580,48319578,52507435,42149812,42149811,52507433,50063720,50063721,41225185,41225186,49761145,49761146,51544914,50038438,40018993,31339719,23847007,23847005,31339713,40018983,40019021,40019023,41225271,32401257,28020091,28020090,36481387,46337356,41225176,41225177,41909439,32970098,25247754,18676992,13284122,13284121,18676988,25247742,32970073,41909455,52246409,53726314,64796988,63119067,51422242,42632861,33607506,25809357,25809356,33607504,42632857,36481419,36481417,38385919,29813346,29813347,24777601,18297409,12987714,12987713,18297405,24777590,32401237,41225219,41225220,49761128,51422181,49402290,39473901,39473899,49402285,49918028,43214600,43214599,52246415,52877503,52877504,46500688,36633729,36633727,32970085,25247747,18676999,18676998,15067949,15067950,20979766,28159161,36633723,42457460,42457458,43214490,53726326,53080951,53080952,46337497,46337499,36561230,36561229,46425422,38385928,29813353,22445761,22445762,29813357,38385938,48296263,59682612,60523869,53726252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5701299, s2 = 14146115, dlinesl.size( ) = 8 s1 = 13794195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9051680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8889190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7404336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9631329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13931813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13931813, s2 = 7376708, int(edited[s2]) = 0 s1 = 13931813, s2 = 7376708, d1 = 3, d2 = 8 Dl.O(d1) = 274935668,242463931,242100704,241707351,241281391 Dl.O(d2) = 238590527,237905143,237150546,236321954,235414716,266436526,233328073,232122194,266009616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13931813, s2 = 7376708, dlinesl.size( ) = 2 s1 = 13931813, s2 = 7376708, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13931813, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 13899909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9289427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9295174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9293880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5751190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5751424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7436793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7436793, s2 = 7833922, int(edited[s2]) = 0 s1 = 7436793, s2 = 7833922, d1 = 29, d2 = 38 Dl.O(d1) = 266641179,233418884 Dl.O(d2) = 265463882,264120487,191710896,263697408,270497648,257756448,255639008,20207675,27108287,33004918,38286258,29719669,22363424,22363425,21602473,21602474,22360229,29714804,22421401,16255892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7436793, s2 = 7833922, dlinesl.size( ) = 26 s1 = 5752068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5752068, s2 = 9262724, int(edited[s2]) = 0 s1 = 5752068, s2 = 9262724, d1 = 36, d2 = 65 Dl.O(d1) = 233420329 Dl.O(d2) = 263017304,262071740,167212015,177710172,261540200,143029490,129698455,115799151,258508960,259137972,54661345,43918853,34645784,268330371,9771547,9771546,14214084,255273598,19840740,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,24601218,32188866,40968581,51110980,256662404,256803758,108743775,123012702,136843571,259861850,173279260,262118670,205389175,210567012,214797115,218278363,221203396,223708745,264698936,227771654,229432695,274452642,234505271,235491751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5752068, s2 = 9262724, dlinesl.size( ) = 8 s1 = 5752083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8817525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8817525, s2 = 11402292, int(edited[s2]) = 0 s1 = 8817525, s2 = 11402292, d1 = 16, d2 = 10 Dl.O(d1) = 210644401,264920707,265953455 Dl.O(d2) = 263574128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8817525, s2 = 11402292, dlinesl.size( ) = 14 s1 = 8858131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5753308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5707029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9700210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5754094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5754094, s2 = 15431482, int(edited[s2]) = 0 s1 = 5754094, s2 = 15431482, d1 = 25, d2 = 29 Dl.O(d1) = 233470556 Dl.O(d2) = 10839704,7166007,7166011,10839725,10882115,7194915,7194912,10882108,255426061,20056013,21721149,22459521,20056480,14371260,9877246,9877247,14371262,14124064,9717100,9717102,6499821,4072843,2437060,1409211,801714,801716,1409216,2437074,4072869,6499872,9891629,9881178,9881177,11569990,7701197,7701176,7701181,10887516,10887515,10881094,7194085,4532179,4532177,7193307,8174365,5243903,5243904,7194039,4532157,2724306,1578651,1578650,2724301,4532142,4519776,4519779,2728425,2728423,3003126,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9872092,6485331,6485330,6499812,6485304,6485307,7198909,7198911,6905001,5562459,4062775,2431454,2431456,2728204,2728203,4538946,7204510,10889986,7701349,4874145,2937061,2937066,4874160,7701378,11570242,11279482,9898037,6505131,6505136,7202224,8309059,8309060,7200536,7200540,6497438,4071354,4070788,2435907,1408668,1408666,2435899,4060019,6478923,7700077,4873362,2936605,2936606,4873346,7700041,11568510,16588702,22806150,29906359,23019851,268174184,11731854,14375197,15626719,10813086,7145677,6508280,4078414,267871383,9901928,7205359,254748779,6493100,6493099,254469060,2439220,2872144,4764477,4072407,2436803,2436802,4072405,4066299,2433293,1407354,1407355,2433295,4066302,6487987,6503058,7202886,7202885,10891651,254971439,6486067,4064253,2432226,2432225,4064247,6486055,6508107,9865520,9896410,14390441,10891266,9884601,6494581,254687361,6505484,9877393,9877389,14371391,14365149,9871818,9871819,14363961,9870559,9870560,6486548,6486547,4065373,2432798,254314909,4498617,6493466,6493467,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,1579165,897796,897798,897785,897787,1579142,2725021,2725019,4053367,4053362,4536380,2726969,1579983,898193,506713,506716,898213,1580022,2726952,2726947,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,284096,156959,86219,86220,156963,284112,506638,898054,753886,428276,428278,753889,1321432,2278566,2726830,4535015,4535013,2942722,1706535,1706534,2726040,2726038,4535042,5030036,3044965,3044968,5030068,7197423,4534490,2725738,2725737,4534487,7197417,4535936,4535935,7199680,6479709,6479713,7197918,4534773,4534772,7197897,6494749,4069671,4069670,6494743,9884856,7197382,4534462,2725727,1579343,1579344,1579621,2726264,4535471,7198986,10886896,268082881,255741815,35036416,44410941,55258511,67600194,81068376,95126575,109380802,123572290,137303902,141234268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5754094, s2 = 15431482, dlinesl.size( ) = 2 s1 = 5754094, s2 = 15431482, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5754094, Dl.E( ) = 46, 1.81e-05 seconds used appending s1 = 5754158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5412466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5754634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8876255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5708816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5708816, s2 = 5509790, int(edited[s2]) = 0 s1 = 5708816, s2 = 5509790, d1 = 9, d2 = 37 Dl.O(d1) = 232303813 Dl.O(d2) = 230101151,228510926,228510925,230101152,228510926,226701502,226701501,226701497,224625594,222234867,222234868,265407761,219450018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5708816, s2 = 5509790, dlinesl.size( ) = 24 s1 = 5709060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8870478, s2 = 8899115, int(edited[s2]) = 0 s1 = 8870478, s2 = 8899115, d1 = 57, d2 = 3 Dl.O(d1) = 205840310,199667800,199667799,205840307,210945912,215118422,218554548,221446080,265522623,265963417,266086858,265829174,223924436,265522629,265829172,226070244,274503829,266201003,233531302,232347576 Dl.O(d2) = 226070223,226070225,227939009,229580344,231038786,232347557,233531280,266492516,266200999,231038810,266086846,229580338,229580382,227939037,226070246,223924432,221446091,218554557,215118428,215118430,218554559,221446096,223924438,226070251,227939048,227939017,227939015,229580351,266086863 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7760901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7760901, s2 = 8907171, int(edited[s2]) = 0 s1 = 7760901, s2 = 8907171, d1 = 151, d2 = 192 Dl.O(d1) = 274547875 Dl.O(d2) = 232348687,233532332,234608233,235588312,236481239 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13928809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5710569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5757004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5711400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8907000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5800284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7372637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7372708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7372708, s2 = 7394858, int(edited[s2]) = 0 s1 = 7372708, s2 = 7394858, d1 = 15, d2 = 17 Dl.O(d1) = 265969237 Dl.O(d2) = 266206107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9325584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9325584, s2 = 8313112, int(edited[s2]) = 0 s1 = 9325584, s2 = 8313112, d1 = 1, d2 = 1 Dl.O(d1) = 112930029,98940539,85014870,71441984,58710510,58710509,49266717,39340803,30741802,255184738,11964959,11964960,17055986,17629973,17056110,17056111,11965037,11965034,17056125,23321340,30742128,28771139,28771135,37304450,47211045,50110683,50110684,52303867,41963355,33020522,33020517,41599364,38094814,29530966,28442958,21217149,21217151,28442965,30838089,39441923,49370304,44389747,35012901,35012900,44389744,38088787,38088788,48000586,55708340,52766929,42367398,33378526,33378525,42310607,40168415,31483509,31483505,26931436,26931433,26931603,26931446,20045533,20045531,26931443,35012991,38744698,31469249,31469248,39339056,30740472,30740471,36741229,28245550,21045836,15116910,15116908,21045835,28245548,36741227,39340910,30741886,23321148,17056015,17056014,23321140,30741866,39340889,49266778,50179704,48214685,38304627,38304628,40880051,48328880,38420560,38420561,267912384,36739925,28244550,21045144,21045145,28244552,28245139,28245138,31481609,23984926,23984927,25360312,18777704,13373096,9140047,254298284,18777702,25360310,28244130,21044810,18777679,13373084,9140035,9140034,13373083,18777676,21045982,15117004,10427055,6874642,6874640,10427052,256292831,258021019,84271952,84271953,98166954,112128271,125964489,139316292,152024670,163891215,174704755,263477035,199978187,206095591,211152287,265530595,228029651,265969755,266206601,234650826,235625385,266577347,238063523,238734949,239016067,266750260,236043684,235106246,266356376,266145854,234863868,265755884,266026400,274119258,226522719,264286358,263628188,263975902,263628190,262343304,261293274,165424813,153643726,140976436,127626817,113758160 Dl.O(d2) = 112930029,98940539,85014870,71441984,58710510,58710509,49266717,39340803,30741802,255184738,11964959,11964960,17055986,17629973,17056110,17056111,11965037,11965034,17056125,23321340,30742128,28771139,28771135,37304450,47211045,50110683,50110684,52303867,41963355,33020522,33020517,41599364,38094814,29530966,28442958,21217149,21217151,28442965,30838089,39441923,49370304,44389747,35012901,35012900,44389744,38088787,38088788,48000586,55708340,52766929,42367398,33378526,33378525,42310607,40168415,31483509,31483505,26931436,26931433,26931603,26931446,20045533,20045531,26931443,35012991,38744698,31469249,31469248,39339056,30740472,30740471,36741229,28245550,21045836,15116910,15116908,21045835,28245548,36741227,39340910,30741886,23321148,17056015,17056014,23321140,30741866,39340889,49266778,50179704,48214685,38304627,38304628,40880051,48328880,38420560,38420561,267912384,36739925,28244550,21045144,21045145,28244552,28245139,28245138,31481609,23984926,23984927,25360312,18777704,13373096,9140047,254298284,18777702,25360310,28244130,21044810,18777679,13373084,9140035,9140034,13373083,18777676,21045982,15117004,10427055,6874642,6874640,10427052,256292831,258021019,84271952,84271953,98166954,112128271,125964489,139316292,152024670,163891215,174704755,263477035,199978187,206095591,211152287,265530595,228029651,265969755,266206601,234650826,235625385,266577347,238063523,238734949,239016067,266750260,236043684,235106246,266356376,266145854,234863868,265755884,266026400,274119258,226522719,264286358,263628188,263975902,263628190,262343304,261293274,165424813,153643726,140976436,127626817,113758160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9325584, s2 = 8313112, dlinesl.size( ) = 2 s1 = 9325584, s2 = 8313112, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9325584, Dl.E( ) = 2, 1.29e-05 seconds used appending s1 = 7372958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8881681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9625456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5760186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5760186, s2 = 1276914, int(edited[s2]) = 0 s1 = 5760186, s2 = 1276914, d1 = 67, d2 = 99 Dl.O(d1) = 233626299 Dl.O(d2) = 12935435,8800054,5732271,3569199,2127440,2127442,3569203,5732280,7596051,7596053,11412345,11412347,7601553,7601554,11433377,13380437,13380436,11624116,7742439,4902649,2954907,2954906,4865932,6814760,4274412,2555561,2555562,4274414,2950600,2950604,1711236,972532,547674,547675,972555,1711278,2950739,4896106,7733572,11614014,9896937,9896938,11167416,7408746,254768759,11448721,7614252,7604044,4810621,4810622,7604046,11436171,16241425,16241426,11545596,7681230,4860246,4860245,7681226,11545593,16563429,16402734,11418992,11418993,7612180,7612181,11446239,11439787,8731193,5684271,3535949,3535947,5683810,3535680,3535679,5683805,8730483,12838576,18106050,24539823,32117441,40891323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5760186, s2 = 1276914, dlinesl.size( ) = 38 s1 = 5714497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5802715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5666016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7373417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7373417, s2 = 16048320, int(edited[s2]) = 0 s1 = 7373417, s2 = 16048320, d1 = 142, d2 = 88 Dl.O(d1) = 265976283,232476068,233063693 Dl.O(d2) = 266473155,237103024,237861674,238551752,239184056,266883159,240300601,240797790,241258747,241685286,242079371,242079370,242079369,242079371,241886637,241475166,241031742,240553243,240038052,266798617,266668937,236718254,235850079,234896775,233850188,232700795,231428988,230008865,228407676,226584554,224492095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7373417, s2 = 16048320, dlinesl.size( ) = 2 s1 = 7373417, s2 = 16048320, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7373417, Dl.E( ) = 144, 4.1e-05 seconds used appending s1 = 5761180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5716034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5716045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5761718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5716227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7405390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7405390, s2 = 10355117, int(edited[s2]) = 0 s1 = 7405390, s2 = 10355117, d1 = 92, d2 = 120 Dl.O(d1) = 266319419 Dl.O(d2) = 259617114,261397788,269846496,21526553,15514214,12295846,8304604,8304605,12295852,17443215,16086343,11172523,7412540,4683837,4683838,7412546,8711021,5670633,5670635,8711031,12811972,15223917,17251236,12131817,12131818,14405437,11172774,11172601,7412578,7412574,11172587,11172669,8296615,8296613,12285212,17430047,12297731,8305709,8305712,12297708,17442597,12295549,12295547,17442661,23770239,23770238,31254600,39915012,31239500,23755832,17429241,12284722,8296342,8296341,12284716,17429231,23755820,31239486,39915000,49933309,256927407,29498762,29498763,256927409,29709150,22353902,16202554,16202555,22353905,29709158,37538841,256364044,10845999,10845998,268212863,12349222,8343471,8343470,12349220,8345294,5386363,5386364,8345296,12351900,12351913,8345308,8345309,8343316,5385156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7405390, s2 = 10355117, dlinesl.size( ) = 32 s1 = 7373879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8872119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13789353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9734086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5718754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13883899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13883899, s2 = 5816754, int(edited[s2]) = 0 s1 = 13883899, s2 = 5816754, d1 = 57, d2 = 24 Dl.O(d1) = 231303395,231303394,232587396,233747454,234803474 Dl.O(d2) = 235041885,234005641,232868302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13883899, s2 = 5816754, dlinesl.size( ) = 18 s1 = 9627231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7758764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7758764, s2 = 10239058, int(edited[s2]) = 0 s1 = 7758764, s2 = 10239058, d1 = 12, d2 = 10 Dl.O(d1) = 274512278 Dl.O(d2) = 264487190,219064154,264200558,215713062,211661393,211661392,215713060,264200558,263522642,206704790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7758764, s2 = 10239058, dlinesl.size( ) = 8 s1 = 5720013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13869369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7374791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9625104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5620287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5721250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7396721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8889792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8828960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8828960, s2 = 11195880, int(edited[s2]) = 0 s1 = 8828960, s2 = 11195880, d1 = 62, d2 = 10 Dl.O(d1) = 235820255,234863644,233813720 Dl.O(d2) = 165422982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8828960, s2 = 11195880, dlinesl.size( ) = 34 s1 = 5723091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7317676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7317676, s2 = 9294257, int(edited[s2]) = 0 s1 = 7317676, s2 = 9294257, d1 = 15, d2 = 35 Dl.O(d1) = 265353006 Dl.O(d2) = 233569196,274689953,266406871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7386411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8903642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7407275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7407275, s2 = 5676272, int(edited[s2]) = 0 s1 = 7407275, s2 = 5676272, d1 = 10, d2 = 0 Dl.O(d1) = 266338677 Dl.O(d2) = 231427407,274515633,201096345,263627518,273162026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7407275, s2 = 5676272, dlinesl.size( ) = 8 s1 = 8850793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5770348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5770348, s2 = 10174816, int(edited[s2]) = 0 s1 = 5770348, s2 = 10174816, d1 = 45, d2 = 43 Dl.O(d1) = 233872296,274634797,266124221,230037540,228440093,226623126,224538598,224538599,226623128,228440096,230037541,266124222,234918006,235870204,234918013,233872301,266124225,228440098,265571779,224538600,226623131,226623125,224538598,222139359,222139358,265001855 Dl.O(d2) = 257409694,255803344,30165984,22949571,22949572,29313665,29313670,21985573,255877955,37882547,30199684,255939428,255114678,11335796,11335795,16292773,255422661,15676786,20046385,14360724,9867770,6482130,6482129,254235312,4498685,4882722,4882725,6504271,4075753,2942263,2942261,1706316,1706319,2942340,4069273,2434979,1408157,1408154,2434970,4069264,2724678,1578841,897639,506445,506443,897630,506465,506468,897715,254229605,4533129,255053845,15726189,12302374,8309287,8309285,12302370,10890861,10890862,15727354,16377036,11565164,7976884,5076277,3078394,3078396,5076281,7202684,10891390,10811650,7144409,7144410,10811654,15625449,21661539,15625428,10811644,8238319,5310790,4882866,2942252,2942251,4882862,6494413,6494414,9884425,14378402,14378418,14378417,20038744,20038600,14374127,9880047,9880049,12302704,14385621,15816226,10960767,9892297,6500402,4073218,4069735,4069734,6494848,9884973,14357927,9865665,6480675,6480674,267968519,4540148,2728895,1580983,898716,898714,1580979,2728883,4540128,7206229,10812649,8306927,8306924,11395286,7571318,7571320,9870039,6483751,6483747,9870028,6905005,5562459,4062775,2431454,2431456,2728204,2728203,4538946,7204510,10889986,7701349,4874145,2937061,2937066,4874160,7701378,11570242,11279482,9898037,6505131,6505136,7202224,8309059,8309063,9886903,7135167,7135168,9889241,9889242,7204333,4538827,2728137,1580615,1580614,1580628,1580631,2728175,4537671,4537672,6483297,4062588,4062587,6483291,9869428,14362671,9885898,254469759,2435536,1408501,1408506,2435547,4070196,6495547,9885980,10890822,7202248,7202249,4871929,4871930,7697817,9883352,8309370,7912627,7912625,10472344,6905005,5562459,4062775,2431454,2431456,2728204,2728203,4538946,7204512,10893756,14377326,14380920,14380921,12373560,12373559,9883831,9883832,7375215,4659454,4659455,7375216,7202834,4537947,4537946,4539451,4539450,6498974,6498975,9890411,14384821,268075047,4499713,4499712,7145948,6500296,4073149,4073148,4498509,4498508,4073227,4073226,6500417,7203390,4538268,4538270,4788253,2886143,1675069,953048,537406,301317,166861,91880,91882,166864,301326,537419,953073,1675116,2886235,4788424,7571510,7571147,4788200,2886117,1675055,1675056,2886119,4788206,7571155,10895554,9880131,6491091,6491090,4073897,2437610,1409464,1409463,2437606,4073887,4882905,4882904,7714836,4882933,4882932,254797711,14377634,14377635,15626175,255418299,15720658,10884002,7196668,4533950,2725443,2725444,1579232,1579231,2725473,254510773,6489894,4531817,2724107,2724108,254510501,10880455,15717390,11426123,11426121,16410260,22593385,29957779,38522858,48430563,49286171,60687468,269787956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5770348, s2 = 10174816, dlinesl.size( ) = 2 s1 = 5770348, s2 = 10174816, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5770348, Dl.E( ) = 46, 1.38e-05 seconds used appending s1 = 7407196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9843232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8922658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9597920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9597920, s2 = 5727174, int(edited[s2]) = 0 s1 = 9597920, s2 = 5727174, d1 = 6, d2 = 8 Dl.O(d1) = 188614211,196436105,203133650 Dl.O(d2) = 232761999,231496758,230084840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9597920, s2 = 5727174, dlinesl.size( ) = 2 s1 = 9597920, s2 = 5727174, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9597920, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 8884268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7376709, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7389991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7389991, s2 = 3936031, int(edited[s2]) = 0 s1 = 7389991, s2 = 3936031, d1 = 22, d2 = 14 Dl.O(d1) = 266154108,233933341 Dl.O(d2) = 141927886,258299510,270865123,60314311,268963937,16759109,16758876,16744058,16744056,254631190,32406660,32900883,41824921,32903780,32903782,30513375,23097777,16842011,11778062,11778066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7389991, s2 = 3936031, dlinesl.size( ) = 24 s1 = 13906119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13906119, s2 = 14176751, int(edited[s2]) = 0 s1 = 13906119, s2 = 14176751, d1 = 45, d2 = 7 Dl.O(d1) = 236100921,266438054,233943558 Dl.O(d2) = 85784276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13906119, s2 = 14176751, dlinesl.size( ) = 20 s1 = 10358003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358003, s2 = 3446295, int(edited[s2]) = 0 s1 = 10358003, s2 = 3446295, d1 = 107, d2 = 2 Dl.O(d1) = 59091760,47693199,47693200,59091761,71831783,259345425,259460952,128871391,128871366,114969049,100915567,100915568,97709597,97709595,86933898,73324002,73324003,86933900,100915480,111631180,125434400,263821583,263600470,265229821,224741836 Dl.O(d2) = 113989419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358003, s2 = 3446295, dlinesl.size( ) = 84 s1 = 10360591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360591, s2 = 7830560, int(edited[s2]) = 0 s1 = 10360591, s2 = 7830560, d1 = 128, d2 = 140 Dl.O(d1) = 265025155,222392540,274115300,265890742 Dl.O(d2) = 254579868,8067627,8067626,11375394,7557614,7557612,4780404,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915499,11037894,11037893,11379618,11379619,11367648,11367649,16307155,11379928,7560511,4780737,2880932,2880935,4780748,4781325,4781326,7561498,11052612,10747020,7549321,4774311,4774312,7102899,10750943,15544796,21567021,28838593,37378803,29861630,22498807,16324655,12155386,11843875,7915460,7915462,11843880,16923305,21567446,21567447,16230024,16230025,22388970,17587742,17587743,22514030,16340389,16340390,12196303,12196304,17294237,12173096,8205345,8205344,11383740,16357876,17254750,14432133,9927517,6524564,4088078,2445729,1414118,1414119,2445732,4088083,6524574,9927542,14432165,12212449,8243128,8243129,9926874,9926873,9929520,8242587,5314417,5314418,8242593,8165289,8165287,12135325,16340249,11369270,7553195,4776495,4776496,7553197,254181520,13584429,11907215,7964323,7964322,11907214,15256816,10525784,10525783,15256813,21227231,25596186,18986250,18986251,25596188,256000300,268108248,18853115,13432470,13432468,254182944,23642339,31120935,29860958,26966869,26966868,35047678,29854633,22489529,16316600,11358656,11358655,16326670,22500830,29863162,31116102,23629544,23629543,23602274,23602273,27015800,20123603,20123602,22015536,29347495,37916367 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7377350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7377390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5730829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5731107, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5731113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9722975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9722975, s2 = 5554137, int(edited[s2]) = 0 s1 = 9722975, s2 = 5554137, d1 = 12, d2 = 0 Dl.O(d1) = 216402703,219667393,222424641,224791532,265441912 Dl.O(d2) = 228083882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9722975, s2 = 5554137, dlinesl.size( ) = 2 s1 = 9722975, s2 = 5554137, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9722975, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 10279740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360588, s2 = 10354119, int(edited[s2]) = 0 s1 = 10360588, s2 = 10354119, d1 = 48, d2 = 38 Dl.O(d1) = 266414811,266529580,232870191,232870186 Dl.O(d2) = 260030716,255523527,5037752,7924771,11857801,12517578,8480304,8480305,12517579,17698002,24051913,18788684,18788685,23215930,30639153,31556232,30364924,22963040,22963039,22963045,16726562,16726561,22963042,30364928,33616176,25816304,19166827,13686809,13686808,255138122,33616174,40242288,37135739,37135740,44750082,35323909,27199993,27199994,35323911,31556226,24051864,257086013,257650698,50032633,50032634,256970474,59734994,256427322,46506398,36639158,28164100,20984094,15071698,15071699,20984096,20984092,15071696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360588, s2 = 10354119, dlinesl.size( ) = 38 s1 = 14235323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14235323, s2 = 10216013, int(edited[s2]) = 0 s1 = 14235323, s2 = 10216013, d1 = 87, d2 = 69 Dl.O(d1) = 228677268,230247164,231642509,232896427,232896424,232896425,266445883,236863634 Dl.O(d2) = 259918319,126421202,272529419,164377071,262947854,166536314,154831763,142196555,128839694,114940173,259680242,86908217,73298194,60555205,49155949,39229733,39229732,49155948,60555204,73298193,86908216,257885102,64786451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14235323, s2 = 10216013, dlinesl.size( ) = 2 s1 = 14235323, s2 = 10216013, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14235323, Dl.E( ) = 88, 4.29e-05 seconds used appending s1 = 7377909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7377909, s2 = 14346835, int(edited[s2]) = 0 s1 = 7377909, s2 = 14346835, d1 = 41, d2 = 42 Dl.O(d1) = 266022519,232901394,234036366 Dl.O(d2) = 261689166,260562540,140164907,258094046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7377909, s2 = 14346835, dlinesl.size( ) = 38 s1 = 7377927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13881607, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5777252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5733505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4785254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4785254, s2 = 2997555, int(edited[s2]) = 0 s1 = 4785254, s2 = 2997555, d1 = 54, d2 = 20 Dl.O(d1) = 76890974,63780677,63780678,258372910,63780676,59436816,48044918,48044917,59436812,48044946,38131619,29565821,29565822,38131622,48044950,58001958,70717910,84268762,85769591,72175372,59436837,48044936,48044937,38206183,38206184,48116998,59504864,48117007,38206189,29639618,268223634,32746676,25055570,25055571,32746679,41657157,51965005,48045022,38131678,38131679,37105417,28597394,28597392,37105413,41657135,41657137,48045043,59436828,48044928,48044929,59436822,48044923,38131601,38131603,29565826,268222993,11173803,11173802,16088039,22220012,256391111,48044999,48045111,48044939,38131614,29565819,29565818,38131611,48044932,256394288,48117003,59504872,59436875,59436874,59436888,48044987,38131647,29565841,29565842,38131649,48044991,59436890,51109947,255662862,256642032,39757465,49776151,40967612,32187961,32187960,40967610,48125488,38215150,38215152,38131659,38131658,48045007,59436897,48045011,38131662,38131663,40967599,32187949,32187948,39240049,33177784,25434231,24600436,18152958,18152959,24600439,32187930,40967575,51109938,62741183,268745542,49166335,49166334,60565728,50120265,40099820 Dl.O(d2) = 90794245,76919542,76919541,258746916,119163913,106038875,91841199,77917921,64727747,52812496,52812495,64727746,77917919,85774788,77917924,72180465,72180466,271334201,131831937,270902376,103860188,103860189,95101301,81043832,81043831,95101300,109355552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4785254, s2 = 2997555, dlinesl.size( ) = 18 s1 = 9284842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7378313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13916295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13916295, s2 = 10579659, int(edited[s2]) = 0 s1 = 13916295, s2 = 10579659, d1 = 35, d2 = 55 Dl.O(d1) = 236914879,236064526,236064527,236914881,266686313,266751904,266451705 Dl.O(d2) = 9610151,13989379,19537521,19085174,13625959,9330414,9330415,8968244,8968240,13157548,18518500,19085088,13625912,9330388,6111718,3824040,2291022,1329213,758901,758902,1329219,2291036,3824063,6111753,9330456,13626018,9330439,9330438,13626012,19085079,19085078,25712710,19084980,19084981,25712826,33487644,33487842,25713007,25713008,33487847,33157246,25416378,19085117,13625932,13625931,19084829,25712591,25712974,25712889,25712890,32590311,31529336,24027123,17676579,17676580,24027127,31529341,36990350,28493151,21276248,21276247,256311325,46868958,42483489,33487649,25712828,25712827,33487647,256615366,25074539,25712952,19085073,19085074,15314442,10577140,10577141,15314446,21276259,25712625,19084855,13625775,9330308,9330309,13625779,19084863,19084965,19084964,25712792,33487594,33488022,33488021,42483013,33487305,33487307,33487612,33487624,42483324,33487535,25712755,19084944,19084943,25712751,33487532,269516975,91926634,98281302,112263254,106119030,91926414,78004920,64811224,64811223,58029413,46657034,46657032,256998700,64811282,64811284,60268563,60268562,58094841,46722724,36839926,36839925,46722719,58094836,70812147,84371596,91926689,78004992,64811295,64811294,64811314,64810965,258427985,86509564,91926848,78005129,270533165,259054928,86601080,73003575,60268584,60268586,73003554,86601065,98281329,112263266,121788495,107405270,92996617,78886355,78886357,92996621,91927674,78005824,73235391,73235392,73235510,258705932,114880179,114880161,100829552,100829553,114880162,120318378,114880051,114880050,128776225,114880138,113049973,259331835,85138569,85138568,85138567,99062656,113049971,259106236,93377359,100829528,86848427,86848426,85419932,71832227,59092248,59092249,71832231,60488689,60488691,73235424,60488672,49085483,39155628,39155626,49085478,60488667,73235415,61469440,49992003,49992004,53818705,43293606,43293605,53818703,65886583,258082074,93377370,258705928,73235410,86848357,260062457,128776251,261257596,139524747,129727565,115828550,101782455,93377368,87974933,74373171,61596965,50117355,50117356,61596968,74373173,87150381,87150380,86848235,259445695,114880019,128776206,142130097,129154802,115224509,101147742,87150070,73531639,60784365,49383841,257612857,70841330,58126859,58126858,70841328,72284715,72284714,258220399,49384089,60784689,259467527,258843130,86848421,87182524,87182523,258843122,62009326,50517437,50517436,61597118,269848184,73564745,258846157,101179338,101782468,87810208,258220392,87975102,88439071,260157177,102440956,115990980,101947045,88439076,88439075,102440958,259380930,74806016,62009267,50517399,40481994,40481993,50517397,62009262,74806012,88438688,102440712,258756010,259998888,259998894,272277455,127720558,259380946,99834082,99497108,99497105,85550083,85550082,85963427,85963426,99920960,88096677,88096676,260005397,85963749,72369156,72369155,74484417,61701410,50219603,50219604,61701414,74484419,88096695,102083622,88096698,86423308,85963705,72369107,72369106,72828327,72828328,85963856,99920956,85963793,85963792,85963751,72369158,59635030,48248022,48248023,59635031,59634650,48247720,38337280,38337281,48247684,38337322,38337321,48247788,38772737,38772738,48694708,48247815,38337339,38337341,48247822,48248148,48248149,59635189,59635081,48248061,48248062,59634783,48247866,257529597,72368947,258824348,256467932,22799468,16582575,16582574,22799466,30189229,29766499,29766500,38337486,48248028,48247880,38337378,38337377,48247876,59634826,59634877,48248075,38337518,29766516,29766517,38337523,48248083,59635121,59635229,59634494,48247611,48247610,59634491,59634668,59634669,72368813,85963473,72369357,72369358,72369307,72368418,59634274,59634276,72368420,60090969,59634962,59634964,59634681,48247746,48247749,59634685,72368817,59634987,48247996,38337452,38337451,38337215,38337216,48247616,46791830,36914074,36914073,46791824,58159337,58159338,59634702,256949431,38337303,38337621,38337219,38337221,48247646,59634533,72368650,59634561,256949425,38337243,269343275,50220633,50220632,40198635,38337125,255910145,16241509,11291585,11291586,16241512,22403628,29766321,38337146,48247532,258274575,50220618,50220619,61702318,74485225,86869012,258274577,50220621,50220620,257665729,50220617,61702317,259521289,258897288,74485227,72379025,59644541,59644542,72379027,85973791,74485538,61702754,61702753,61702706,61702707,74485506,72379023,258160334,256970502,74485481,85973743,74485546,74485547,72379124,59644635,48257754,38347277,38347276,257530287,72379121,85973852,99931405,99931412,258274622,48257780,257082510,48257657,38347227,38347228,258139517,258784208,257082512,48247433,48247432,59634265,48350950,48350949,255928936,38347217,29775678,22411685,22411687,29775686,38347232,48257664,48257792,48257790,257384420,85973745,99931355,99931357,85973750,72378980,258139136,256950045,59644504,72378978,85973747,85973748,258897280,59634262,48247430,48247431,59634264,72368409,64811744,64811745,72671490,86271476,91927393,78005561,64811779,64811778,61835482,50351286,40324451,40324453,50351288,61835486,74627709,85973810,87687832,85966620,85966619,86271480,91323899,100032689,86069294,85973715,85973714,99931334,91927400,91927384,78005555,78005556,91927389,87658585,87658586,87687913,87687859,74080831,74080830,87687855,99931375,87687904,87658689,87658687,101625889,101659472,99920789,99920788,101659474,101659440,101659441,101659469,101625621,87658285,87658284,101625620,260700423,87658287,87658286,87658508,258241175,61274771,49795673,39775928,271385402,49819992,39799326,31118731,31118730,31097564,31097565,39775729,49795389,257631987,39775693,268435193,255160535,8210404,8210405,12178758,17300824,255998327,39775730,49795391,61274567,61274525,61274526,74054690,61274604,49795431,49795432,61274607,65127875,78409441,78409449,65127907,61274742,61274743,74054905,87658315,74054741,61274575,59634625,48247707,48247706,59634622,61274591,49795417,39775743,39775742,49795410,39775740,31097570,31097569,39775737,49795406,49795662,61274911,74055049,74054921,74054771,61274603,49795427,49795426,61274599,74054768,61274970,61274969,74055097,87658678,87658483,76894063,76894062,63784214,63784213,76894069,78409491,65127901,53143094,42692604,42692605,53143099,65127914,78409460,78409457,87658312,87658311,87658307,74054737,258863623,101625647,115666569,121002486,270858332,142872086,142872087,259416512,134799034,147917559,138995198,259416530,106749797,106749798,272025761,115666564,101625635,101625636,115666565,260033450,127227985,140573147,148414744,135248876,271775024,107099634,261489941,127227949,272200553,119896006,119896000,119896001,114485289,107099636,92758647,78695172,78695173,92758648,257919024,77922984,91847209,84038059,70503197,70503198,84038062,88339081,88339079,100460354,93216874,79100622,65744828,53688159,43177329,268413722,26231118,34093194,43177332,53688168,64334801,64334800,77499119,65390765,53387400,53387401,65390769,77499149,258792260,84037955,84037957,97908023,99616678,85667999,72081732,59348332,59348330,53387371,53387370,65390710,78695110,92758597,93217653,93217654,92758605,92758603,259098535,65744912,65744911,257487382,257487304,79101243,258097394,107620446,93217696,93217695,270298568,65745442,65745441,79101289,93216815,79100559,79100560,257487370,257487372,53688727,43177877,43177876,255870940,65744715,79100469,79100533,79100532,93216792,93217694,255435350,79100390,65744651,65744649,79100384,93216624,93216781,85429219,255870934,59104964,71843457,59104755,47706598,47706596,59104751,71843449,255870938,47706584,37785590,29223678,29223679,256907511,59104730,257487344,59104725,59104727,71843419,71516033,58785922,47397833,37489429,37489426,47397827,47397838,58762856,71493125,85065828,258721034,85429020,85429019,99370065,92635835,92635834,106974070,112982518,98992090,85065764,258075519,258075517,65282480,53290779,42835655,42835656,53290781,65282484,71493100,71493098,85065794,92635844,106974078,121271248,126836960,256365594,85065798,71493088,71493089,71493014,62415414,50833341,50833342,62415417,75313545,71493221,58762929,47375414,47375415,47375319,37468522,37468525,47375325,58762804,257832961,42835662,42835661,53290787,42835668,33799647,25986249,25986248,256682657,42835650,33799639,25986245,19316781,13812493,9472535,9472536,13812495,19316785,25986254,33799655,42835679,53290802,48919087,48919089,53290790,58762830,47375347,37468539,37468540,47375350,40729202,40729203,50833530,47375397,47375399,268700209,256567041,41988484,52328745,52328767,41988508,41988509,50833364,52328750,64179755,66933207,66933208,80359064,258908484,50833505,40729185,31981792,31981791,26910080,26910079,24427817,24427815,31981786,40729178,50833499,49272054,49272051,49272073,44369456,34991129,34991131,44369463,55220670,67564287,55220773,44369555,34991203,34991202,44369550,49272033,44369514,34991172,26910057,26910058,34991174,44369519,55220737,67564346,67564356,81033513,257464082,62415596,75313684,81033548,67564398,67564397,75313586,67564351,55220743,55220744,67564353,62415489,62415488,75313594,70948181,58230900,46862898,46862902,58230906,70948186,73419666,60672577,60672576,73234679,71457552,71457549,85029511,85029513,71457554,254742082,47338944,50554296,50554295,255850214,88480912,102487521,112943611,98954506,85029552,71457603,58727430,254506720,28889308,21613327,15584051,15584050,21613321,28889294,37430969,47338943,50554383,50554292,40518001,256342486,257464080,58230812,46862827,36984339,36984340,46862829,256883904,40518016,31821251,24304816,17921080,12697488,8626360,8626361,12697493,17921085,24304824,31821267,40518046,47338953,46862806,46862805,58230783,46862825,36984338,256849941,58230811,62669187,51040814,40901638,32126277,24547186,18111925,18111926,24547188,32126284,40901657,36984328,36984329,46862813,58230794,70948068,62046937,50554310,40518012,40518013,50554314,62046943,74845203,84511691,70948112,58230831,58230830,70948108,70948014,70948013,258074686,88480984,84511683,84511682,88480919,90878431,84511757,70948100,58230822,51040788,51040789,40901646,32126281,32126282,40901652,43973098,54716876,62669161,62669160,75613668,80406116,80406117,94465949,88480867,74845118,74845119,88480869,102487486,98139754,84246049,70694105,257408575,256290661,28218215,36710733,46598893,57976035,70694099,74328385,61551911,50073456,257653953,74328388,75456152,62533635,50929966,50929967,50929968,50929969,62533639,75456157,258698546,112098756,271749836,130430894,130430895,129849589,115950181,101904548,87931194,87931195,101904552,115950189,112098793,112098792,112967169,112098764,98139710,84246027,84246028,98139726,101904747,101904748,113944104,259387301,72368719,72368720,85963384,99920946,113944109,259863702,98139707,84246010,84246009,98139705,101904749,87931371,74328376,61551904,50073452,257653949,74328373,87931369,101904745,101904738,87931362,74328367,61551901,50073450,50073449,61551898,74328363,87931355,101904729,115950336,271292954,259890426,258645024,132455788,129849811,115950545,115950544,129849809,118615132,104430580,104430583,102109221,102109220,115950206,101904574,101904573,88122038,88122040,102109235,101904508,101904507,115950140,129849554,115950208,101904579,101904578,90795853,90795854,104972193,115950462,104430593,90278675,90278674,104430591,118615143,132455791,137403486,137403488,136360929,133807950,133807951,147054683,260960832,123672377,109480556,109480557,109480559,260363694,122376612,107950126,102088750,88101848,88101849,88101819,74489652,61706837,50225422,50225423,61706840,74489656,88101826,88101808,88101809,98470786,84548751,70985703,58271236,46906047,46906045,58271228,70985693,84548726,95618832,81584783,68094960,68094959,81584780,95618826,109823769,102088603,88101690,79375737,79375738,88101853,88101854,102088595,116146243,112117305,112117304,102088623,102088622,102088659,93512781,93512782,88101672,88101671,83978790,70450826,57755753,57755752,70450824,74489641,74489642,88101803,102088696,116146279,102088650,102088651,111633950,102088701,102088700,93512840,79376162,79376161,93512832,256190644,43410353,34308964,26431011,19693078,19693082,26431021,34308978,43410363,34309046,26431092,26431091,34309042,255309506,66007947,256710700,97712760,83853910,83853909,256190634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13916295, s2 = 10579659, dlinesl.size( ) = 2 s1 = 13916295, s2 = 10579659, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13916295, Dl.E( ) = 70, 2.69e-05 seconds used appending s1 = 9631590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5779928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5779928, s2 = 6451072, int(edited[s2]) = 0 s1 = 5779928, s2 = 6451072, d1 = 27, d2 = 37 Dl.O(d1) = 234107214 Dl.O(d2) = 254617138,24075520,17719003,17719004,24075522,254415274,254190856,5527214,8529149,8529150,12575735,12539498,8500771,8500770,12539496,17723792,19700446,14125362,9717957,6393017,4011981,2404445,1391396,791253,448118,448121,791264,1391431,2404513,4012125,6393284,9718363,14125957,267802594,26897175,26897174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5779928, s2 = 6451072, dlinesl.size( ) = 20 s1 = 5735836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7421478, s2 = 11296892, int(edited[s2]) = 0 s1 = 7421478, s2 = 11296892, d1 = 2, d2 = 0 Dl.O(d1) = 266485948,266360335,266298698,231739406,230351452,274253872 Dl.O(d2) = 272778618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7421478, s2 = 11296892, dlinesl.size( ) = 2 s1 = 7421478, s2 = 11296892, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7421478, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 14799245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9290979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280070, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5522196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7379029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8886609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7409825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5738830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359333, s2 = 8657706, int(edited[s2]) = 0 s1 = 10359333, s2 = 8657706, d1 = 86, d2 = 76 Dl.O(d1) = 9565501,13935076,254631498,23331839,17492001,17492000,21303143,21303145,21609783,21609784,15721879,15721880,17522439,17522438,21307233,21307234,28529569,23170796,23170795,23590089,17278408,17278407,17278406,23590086,268107133,267906338,3213929,267841641,1887706,1077055,1077052,1077115,604988,604987,1077138,914892,914887,518376,290733,160892,160893,290741,518395,919223,1616138,2786011,4625809,7324891,7322163,5254219,3210846,3209176,1879564,1879565,3209178,5252009,7322780,4623972,4623973,7317296,7317293,4619289,2781459,2781460,4619291,254760539,11817581,7895674,7316754,7316755,7316793,4618930,3186161,1864525,1864526,3186168,5222954,8151766,7311883,7086097,4615031,4615030,7311672,11037302,11286128,7492778,7492777,8222415,7308107,254347259,1610978,1610979,1097686,616157,616156,1097685,1921514,3228597,1893239,1081539,607429,338014,254104805,1081541,1562178,888118,888116,1562177,1070553,601592,601595,920304,518943,291011,291009,518932,517464,517465,917232,1612291,1874990,3202252,3206785,3206784,5242872,3201615,1874537,1874538,3201618,5242876,3206561,267841193,12149734,255546549,31067859,39746051,49764578,258238467,87627748,101595041,115635576,129520782,142837898,155419210,167059162,177564977,186852866,194946370,201873150,201873151,207702120,212509462,216440310,274288205,224816581,226868848,228657664,230230709,228919559,227165511,225156572,274300482 Dl.O(d2) = 264844912,263675270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359333, s2 = 8657706, dlinesl.size( ) = 40 s1 = 5739745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5824085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8887077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8887077, s2 = 14334404, int(edited[s2]) = 0 s1 = 8887077, s2 = 14334404, d1 = 97, d2 = 116 Dl.O(d1) = 230487944,231859746,233094567 Dl.O(d2) = 4047113,2423143,2423140,4047142,6457018,9828964,14308233,255735413,254455525,9450162,13783329,19281375,13976650,9598690,9598689,13976643,19523726,21694373,15682238,10856751,10856749,15682242,21728965,29017239,29017262,23134766,23134763,21728984,21728985,26057243,26057244,256687781,34366875,43503238,54079417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 3 s1 = 9609575, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5741373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5741373, s2 = 5835982, int(edited[s2]) = 0 s1 = 5741373, s2 = 5835982, d1 = 0, d2 = 14 Dl.O(d1) = 233131054 Dl.O(d2) = 243156015,243448367,243720144,243971697,244205309,243971698,243971699,244205312,244205308,243971700,243720148,243448369,243156016,242844136,242509070,242148999,241760339,241339417,240885121,240394920,274843609,239294605,238673003,266644431,236431844,235535081,234550349,233468789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5741373, s2 = 5835982, dlinesl.size( ) = 2 s1 = 5741373, s2 = 5835982, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5741373, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 13873245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5742226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9602278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7419649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5743520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5743837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8905017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7391336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7391336, s2 = 14788250, int(edited[s2]) = 0 s1 = 7391336, s2 = 14788250, d1 = 1, d2 = 11 Dl.O(d1) = 266169228 Dl.O(d2) = 233193140,266051844,233217534,266051846,232000728,232000729,232000749,230649686,229133052,227415699,227415702,229133059,230649692,229133111,229133110,229133018,265785982,229133056,229133059,230649692,230649745,232000726,230649659,230649657,230649619,229133005,227415670,265469314,230649613,265924580,266169224,231973495,230619236,230619235,266169227,230619263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7391336, s2 = 14788250, dlinesl.size( ) = 2 s1 = 7391336, s2 = 14788250, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7391336, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 5592124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5788166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7411120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5865447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7381027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7381027, s2 = 7442834, int(edited[s2]) = 0 s1 = 7381027, s2 = 7442834, d1 = 15, d2 = 19 Dl.O(d1) = 266057753,266288217,232111863 Dl.O(d2) = 266701213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7381027, s2 = 7442834, dlinesl.size( ) = 20 s1 = 7360152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7394857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7394857, s2 = 7372707, int(edited[s2]) = 0 s1 = 7394857, s2 = 7372707, d1 = 10, d2 = 8 Dl.O(d1) = 266206106 Dl.O(d2) = 265969236 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661016, s2 = 15995588, int(edited[s2]) = 0 s1 = 11661016, s2 = 15995588, d1 = 74, d2 = 6 Dl.O(d1) = 129878197,258661100,87963403,74361103,61584510,50104568,256309318,268256833,12396837,12396838,12401296,11748729,7844184,7844186,7844205,7844225,7844224,10541192,10541193,13513153,9246240,9246239,13513147,12388273,12388274,17410824,17410823,18954563,23919798,17848298,17848299,24218536,24218535,255024928,49915627,44406741,35031733,26951281,20066667,255741245,9888107,9888106,268047611,20073069,26957018,35037021,44411589,55259169,67600884,81069044,72134952,72134951,85719344,72134883,72134884,85719346,258680396,120189427,105988869,259047898,64681650,52766702,52766701,52766700,42367108,33378272,33378271,42367110,52766703,64681645,64681644,77871579,91794148,105988863,120189421,134022839,272990313,170919623,181034824,189909111,197561176,204076764,209512749,264880489,220688985,223287782,225534168,227488041,229196163,230705803,266176693,234361107,234361108,235359961,236270868,266631715,238550906,239183002,239763372,240299023,240532966,240015411,239457177,238853311 Dl.O(d2) = 48576591,255300522,30083501,22701661,16498090,254460546,30083500,255710054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661016, s2 = 15995588, dlinesl.size( ) = 2 s1 = 11661016, s2 = 15995588, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 11661016, Dl.E( ) = 76, 4.51e-05 seconds used appending s1 = 5746335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5746335, s2 = 11661017, int(edited[s2]) = 0 s1 = 5746335, s2 = 11661017, d1 = 1, d2 = 1 Dl.O(d1) = 170925758,181040745,189914225,197565263,204079937,209515321,213975289,217636106,220690955,223289613,225535985,227489842,229197922,230707450,232052610,233264499,234362120,235360796,266284632,237102728,274711744,239183717,266703122,240300152,240797368,241258399,241258400,241685027 Dl.O(d2) = 170925758,181040745,189914225,197565263,204079937,209515321,213975289,217636106,220690955,223289613,225535985,227489842,229197922,230707450,232052610,233264499,234362120,235360796,266284632,237102728,274711744,239183717,266703122,240300152,240797368,241258399,241258400,241685027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5746335, s2 = 11661017, dlinesl.size( ) = 2 s1 = 5746335, s2 = 11661017, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5746335, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 7381443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9628520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9628520, s2 = 6707179, int(edited[s2]) = 0 s1 = 9628520, s2 = 6707179, d1 = 60, d2 = 45 Dl.O(d1) = 223359013,225596260,265937801,266179875,233298044,232089898,230748598,266063693,266475443 Dl.O(d2) = 257683518,91309514,258213952,114410252,101056153,259420339,257563975,256439011,256439009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9628520, s2 = 6707179, dlinesl.size( ) = 36 s1 = 8888587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359849, s2 = 7381602, int(edited[s2]) = 0 s1 = 10359849, s2 = 7381602, d1 = 107, d2 = 116 Dl.O(d1) = 264374735,264887391 Dl.O(d2) = 233299638,234393153,235387709,235387713,234393160,233299641,232091775,230750792,230750791,266180077,233299639,266385009,233299635,266063977,230750776,230750793,229246555,266063983,230750781,266385006,229246550,229246544,229246543,230750774,230750788,230750786,230750794,266180079,225599038,227544737,229246547,266063979,274871481 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8888684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5747976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5748060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5748060, s2 = 6062487, int(edited[s2]) = 0 s1 = 5748060, s2 = 6062487, d1 = 0, d2 = 36 Dl.O(d1) = 233311104 Dl.O(d2) = 240814411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5748060, s2 = 6062487, dlinesl.size( ) = 2 s1 = 5748060, s2 = 6062487, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5748060, Dl.E( ) = 54, 1.81e-05 seconds used appending s1 = 9619138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5791226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5791614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5749505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10288324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7374282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7401347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7376624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7400668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8960940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13901323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8897922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8897922, s2 = 7095791, int(edited[s2]) = 0 s1 = 8897922, s2 = 7095791, d1 = 46, d2 = 30 Dl.O(d1) = 265550301,225803062,223621998,223621999,225803063,227704927,229372918,230854364,232180521,232180516,230854366,230854365,232180525,233378394,234465222,234465223,235454678,235454695,234465246,233378384,232180520,232180521,232180516,230854366 Dl.O(d2) = 262501204,136158209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8897922, s2 = 7095791, dlinesl.size( ) = 30 s1 = 8940468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7432232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7432232, s2 = 8898115, int(edited[s2]) = 0 s1 = 7432232, s2 = 8898115, d1 = 70, d2 = 58 Dl.O(d1) = 266594652,274697004,274773676,237951956,237200725,236376211,235474232,266334024,236376210,266428710,266120456 Dl.O(d2) = 274101202,199043345,199043346,205309237,210497316,214736569,264508826,214736563,210497312,205309235,199043345,191636485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7432232, s2 = 8898115, dlinesl.size( ) = 58 s1 = 5751343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5751343, s2 = 14809272, int(edited[s2]) = 0 s1 = 5751343, s2 = 14809272, d1 = 29, d2 = 32 Dl.O(d1) = 233401595,266392801 Dl.O(d2) = 240968153,241416355,266952033,240484049,240968154,240484045,239962522,239400100,238790508,238127098,237398155,236596219,236596218,236596220,235716446,235716445,234748995,233687366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5751343, s2 = 14809272, dlinesl.size( ) = 30 s1 = 13886217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5794835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5796018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5753473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8908180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8908180, s2 = 10222502, int(edited[s2]) = 0 s1 = 8908180, s2 = 10222502, d1 = 41, d2 = 44 Dl.O(d1) = 266583664 Dl.O(d2) = 173558705,173558698,162525408,162525407,162525413,150394590,150394591,162525415,173558695,260532230,162525406,173558696,162525423,150394597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8908180, s2 = 10222502, dlinesl.size( ) = 30 s1 = 5796571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8877186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9635565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5796986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5797222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9294858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8873694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8873694, s2 = 8703988, int(edited[s2]) = 0 s1 = 8873694, s2 = 8703988, d1 = 48, d2 = 29 Dl.O(d1) = 234569294,234569295,235551847,234569290 Dl.O(d2) = 264226314,214967425,263163254,262249496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8873694, s2 = 8703988, dlinesl.size( ) = 38 s1 = 5797731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5755252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10286788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5797957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5798098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5798226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9599331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9620542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9620542, s2 = 10340622, int(edited[s2]) = 0 s1 = 9620542, s2 = 10340622, d1 = 13, d2 = 11 Dl.O(d1) = 266048157,274635558,234596003,234596004,235577561,235674926,266250376,232463244,231166910,265749390,265594674,224106945,265032476,215400717,211300016,206281392,200210991,193022393,184644018,175051118,164245435,152372817,139652424,260102152,98431460,258240030 Dl.O(d2) = 6060433,268299296,254927837,6064485,3794438,3794439,3797408,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8116492,12069950,17166150,15742807,10903023,10903022,15742805,269001756,12071711,10417359,6867369,6867368,10417357,15103704,16154322,15913289,11034886,7309645,4613525,4613524,6810999,6811000,10345318,11034841,15913238,21028123,15103693,15103694,15103635,10417309,10417308,8491171,8491174,12530064,10417307,10417306,15103631,21028116,23913254,17570548,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,254242319,4830024,7634701,11478901,16122511,16122510,16154268,16944017,16154239,11223198,11223199,11741663,7839338,4976270,3005991,3005992,4976271,7839340,255128415,23037265 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8921010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7347085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10301234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5757420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7384216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5758807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5758931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9725836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9725836, s2 = 5794933, int(edited[s2]) = 0 s1 = 9725836, s2 = 5794933, d1 = 10, d2 = 13 Dl.O(d1) = 221626737,218764035,273857082,206248465,206248464,211270119,215373357,218764030,221626732,265185454,226216854,226216855 Dl.O(d2) = 232441276,266221648,234506716,266191398,232231011,230909461,229434396,227773423,225880811,223711022,221205892,218281075,214800011,210570045,205392299,199134734,191735344,183129370,262072758,136849310,259768054,94456452,257891130,43964123,54707873,66966952,80397155,257891126,108749634,123018574,117619367,103488934,89394643,75633269,62688683,51059136,51059135,62688682,75633268,75633278,270450023,75633277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9725836, s2 = 5794933, dlinesl.size( ) = 2 s1 = 9725836, s2 = 5794933, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9725836, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 7404913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9625028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7771671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5803154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7761184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8860371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7423002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5761503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5803806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10291343, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5804105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10338439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5762309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7423240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7423240, s2 = 1796682, int(edited[s2]) = 0 s1 = 7423240, s2 = 1796682, d1 = 49, d2 = 52 Dl.O(d1) = 266504198 Dl.O(d2) = 47182473,37276356,28743822,21485732,15481499,10705742,7072867,4452994,4452993,7072864,10705735,9536873,9536875,10618935,10618936,15368592,19857925,14234613,14227087,9780427,9780425,7828656,5210156,5210152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7423240, s2 = 1796682, dlinesl.size( ) = 50 s1 = 11660994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5804799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5804799, s2 = 1214451, int(edited[s2]) = 0 s1 = 5804799, s2 = 1214451, d1 = 43, d2 = 33 Dl.O(d1) = 234760592,233700564,265740970,265585460,265226126,264791692,218926792,215547424,215547423,218926835,221778074,218926784,215547348,215547349,218926782,218926783,215547397,211458518,206457275,200409893,193252011,193252012,200409897,200409909,200409910,206457291,211458536,215547421,215547410,215547409,218926828,218926802,215547379,215547380,215547378,273878896,221778072,221778088,221778071,221778070,218926838,215547426,211458544,206457299,206457300,211458545,215547428,264538572,215547422,215547423,218926835,221778074,218926784,218926785,221778073,218926816,218926815,218926796,215547361,211458476,206457233,273145606,193251993,200409870,206457236,211458467,206457230,200409868,263204312,211458464,215547349,218926782,218926783,215547397,211458518,206457275,200409893,200409894,206457269,206457270,211458514,215547392,264538566,211458476,206457233,206457232,263944076,218926815,218926796,218926795,264257466,264257464,218926784,215547348,215547349,218926782,215547345,215547344,274340965,221778086,218926816,218926815,221778081,264791698,264538570 Dl.O(d2) = 259082824,101600201,87633384,74029846,74029845,87633382,87913756,87913755,101888138,115934445,259507551,87913761,101888145,115934451,127198630,260719264,101237144,115315545,101806523,87832545,78676372,78676373,92739245,107078937,115315548,101806525,87832547,74227618,63737247,51927897,41625127,256099629,18499683,13143412,12093409,12093410,17198001,13134384,8951412,8951411,13134382,18487799,25017663,32701122,37409736,47318188,58707072,53073570,53073571,258437211,78334975,92367796,106671717,99556988,258735801,60570804,49171886,39246711,39246712,49171888,60570805,73313678,84440581,84440580,86947017,73336245,73336243,73354963,73354962,86923452,86884162,257027194,49127295,49127294,60528004,73272698,85483317,85483318,74032843,61252883,49774211,39755603,31078035,31078036,39755601,49774207,61252876,60610024,60610025,73273055,60528419,49127799,39200576,39200575,39283050,30686047,23269295,23269294,30686045,254824308,60610033,52863555,42459614,42459613,52863553,64782942,77977290,91901765,106096937,100864108,100864107,100864109,86884044,258667886,49930949,39912603,31237166,23753955,23753956,29159112,29159113,37719009,31022580,31022581,30669621,23254128,16991206,11905865,11905866,16991211,23254137,23697016,17374878,17374859,12242890,8268221,5334991,3279420,3279422,5334993,8268223,12242894,17374865,14904270,10247577,10247578,14904273,20797315,27958928,28180567,28180568,36656877,46524415,57880547,256346712,30601945,29269443,28730558,28730557,37262593,30602900,30602899,30604856,39201275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5804799, s2 = 1214451, dlinesl.size( ) = 2 s1 = 5804799, s2 = 1214451, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5804799, Dl.E( ) = 46, 1.79e-05 seconds used appending s1 = 10281418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5763658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8904052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9680144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10278420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5765882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7386276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5766803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5808723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5808913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7457957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8806555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7424210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7424210, s2 = 7039893, int(edited[s2]) = 0 s1 = 7424210, s2 = 7039893, d1 = 43, d2 = 49 Dl.O(d1) = 266514043 Dl.O(d2) = 183059001,261718900,149895596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7424210, s2 = 7039893, dlinesl.size( ) = 12 s1 = 5809508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5768414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361071, s2 = 9663836, int(edited[s2]) = 0 s1 = 10361071, s2 = 9663836, d1 = 49, d2 = 73 Dl.O(d1) = 266161362,235418100 Dl.O(d2) = 265203058,273126220,165951199,154191477,260003398,258760426,64779571,64779570,60348143,48952077,39030378,39030377,47162835,37257457,28725916,21469202,21469201,28725913,24896114,256090303,41402690,47011475,37124477,28613577,28613576,37124474,37257460,28725919,28725918,256870505,58333472,58333467,58333466,49988290,49988291,60754967,49352030,39422422,39422421,49352027,47011425,47011424,47011457,58382563,71099175,84662161,258014046,49352001,39422398,39422399,41933426,41933427,49352000,60754952,73504011,65946116,53878675,48033291,48033290,55366947,67706569,81172035,257512330,72165317,72165316,256389992,99713407,85759278,72164695,72164693,72165263,59426475,48034127,255893978,53340410,59426271,48033928,38120687,38120688,48033931,55326787,48034377,38121041,29555723,22210814,22210805,255079757,11167132,16079970,255893961,38121000,48034336,59426704,57619608,46275206,46275205,44480649,35104409,27019193,27019191,20128212,20128211,27019190,35104408,44480810,36416631,27958625,27019129,27019130,35104316,44480668,55326680,55326701,44480687,35104331,35104332,27019164,27019163,30078660,38655639,35251776,35251775,44636191,55486165,47565691,37659596,37659597,44480771,35104387,27019178,20128201,20128202,22209270,22209271,29554059,38119168,48032465,39030398,39030397,255456022,67666508,72164230,59425209,59425210,65182655,65182654,58285415,46919547,37041584,37041583,46919545,58285413,71000606,72356492,59621770,59621771,59829749,64150568,64150564,52298193,257044720,77299709,270375442,257735254,47454033,58839931,58182543,58182542,58426815,47052161,46815733,36937368,36917544,28419692,28419691,36917543,257566609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5769182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13889327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360391, s2 = 6028415, int(edited[s2]) = 0 s1 = 10360391, s2 = 6028415, d1 = 31, d2 = 15 Dl.O(d1) = 225012326,227040899,228810797,230370259,231755893,231441790,266122649,233861594 Dl.O(d2) = 240046511,240560648,241037946,241480605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360391, s2 = 6028415, dlinesl.size( ) = 22 s1 = 7387204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5725612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5678194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5678194, s2 = 11627033, int(edited[s2]) = 0 s1 = 5678194, s2 = 11627033, d1 = 0, d2 = 7 Dl.O(d1) = 231471789,265729866 Dl.O(d2) = 267347026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5678194, s2 = 11627033, dlinesl.size( ) = 2 s1 = 5678194, s2 = 11627033, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5678194, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 5771237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5771684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5771781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7399811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5814185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5814185, s2 = 7343036, int(edited[s2]) = 0 s1 = 5814185, s2 = 7343036, d1 = 91, d2 = 163 Dl.O(d1) = 234977712,233936855 Dl.O(d2) = 265637144,231102401,266053494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10269953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5815598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5815598, s2 = 899050, int(edited[s2]) = 0 s1 = 5815598, s2 = 899050, d1 = 66, d2 = 89 Dl.O(d1) = 235012230 Dl.O(d2) = 16649567,22877915,21533702,21533701,28799828,31775324,31775323,256044858,48393607,38490687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5815598, s2 = 899050, dlinesl.size( ) = 2 s1 = 5815598, s2 = 899050, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5815598, Dl.E( ) = 110, 3.91e-05 seconds used appending s1 = 5816273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7433367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7433367, s2 = 5116576, int(edited[s2]) = 0 s1 = 7433367, s2 = 5116576, d1 = 46, d2 = 53 Dl.O(d1) = 266606494 Dl.O(d2) = 212439369,264266864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7433367, s2 = 5116576, dlinesl.size( ) = 58 s1 = 10338130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7375568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15960339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9554115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9554115, s2 = 9609189, int(edited[s2]) = 0 s1 = 9554115, s2 = 9609189, d1 = 94, d2 = 89 Dl.O(d1) = 261264313,155248562,263958519,207658493,264802581,216410423,265235067,265592645,228642386,230217354,231616041,232871385,266443853,235044285 Dl.O(d2) = 266028150,274477584,228754475,226978385,224940935,222594862,264819074,212720820,263979336,195254209,263246876,261840828,260725858,50146103,270388564 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7762216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7762216, s2 = 8241756, int(edited[s2]) = 0 s1 = 7762216, s2 = 8241756, d1 = 46, d2 = 44 Dl.O(d1) = 274565749,234045641,266351480,234018970,235054333,266424374,274513552,265194330,265194333 Dl.O(d2) = 263139904,261706402,72020859,256922318,57832607,46476837,42207065,33245461,33245460,38123772,38123773,29558290,29558291,256932547,259370787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7762216, s2 = 8241756, dlinesl.size( ) = 36 s1 = 8892551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8892551, s2 = 9704230, int(edited[s2]) = 0 s1 = 8892551, s2 = 9704230, d1 = 83, d2 = 54 Dl.O(d1) = 193779001,263893551,206846215,206846214,264754875,219162666,221981431,274465041,232648575,274799349 Dl.O(d2) = 259420487,72838936,257564117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8892551, s2 = 9704230, dlinesl.size( ) = 52 s1 = 9633387, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7391909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8885714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5779259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5820054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7767805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5779914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8907671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8907671, s2 = 16345611, int(edited[s2]) = 0 s1 = 8907671, s2 = 16345611, d1 = 5, d2 = 6 Dl.O(d1) = 261081949,152270860,164156380,174974044,184576373,192961177,200154342,264456797,215355551,218747228,221610822,265838651,229689734,231135874,232432236,232432237,233604313,234670611,234670612,235643270,266331596 Dl.O(d2) = 265995718,230344121,265562684,224974603,222633961,219908053,216677697,212780546,263898578,187319555,262232818,130138590,116228131,258749990,257517000,40278758,31594423,31594424,29609295,22258977,16119519,16119520,22257937,22257960,16118532,16118531,16118524,11196572,11196563,11196564,16118505,22257916,29608380,29608447,29608446,33771404,33771403,42803347,42802386,33770597,25961510,25961511,32688276,32688274,33771148,33771149,32686187,32686185,37276140,37276141,28743594,28743593,37276145,29608479,29608477,38175366,33182658,33182659,42142167,50299209,40278744,31594403,31594405,38175251,40278751,31594434,31594433,40278770,42801266,38175281,29609303,29609304,38175316,29608431,29608357,22257897,16118499,16118500,22257902,29608362,38175257,48087376,40992121,32208750,32208749,40992117,46660876,42802378,33770588,33770590,32688272,25961921,19296417,19296419,25961926,33771153,42803072,49146711,41583854,32686132,25006527,25006526,25961505,25961504,25437606,25437607,32664717,40839870,40051547,31370658,31370659,32664708,39220286,39220281,39220280,48087413,41583843,32686116,32686117,32688142,32208764,24617675,18167179,18167180,24617678,24617703,24617704,32208790,38175770,46660884,36775390,28279355,21074767,21074765,28279348,26676746,19859258,14228039,14228040,255731215,21074780,28279368,32686168,25006555,18479733,13128629,13128630,18479737,25006562,32686178,33771745,32208702,24617626,18167148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8907671, s2 = 16345611, dlinesl.size( ) = 2 s1 = 8907671, s2 = 16345611, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8907671, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5026157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5821025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13916531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7390054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8937823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5782382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8911773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5822860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5822899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5822899, s2 = 5032193, int(edited[s2]) = 0 s1 = 5822899, s2 = 5032193, d1 = 0, d2 = 2 Dl.O(d1) = 235193213 Dl.O(d2) = 208299962,202579387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5822899, s2 = 5032193, dlinesl.size( ) = 2 s1 = 5822899, s2 = 5032193, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5822899, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15054871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7427253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7390255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5824347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8904393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5784241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5784241, s2 = 5883173, int(edited[s2]) = 0 s1 = 5784241, s2 = 5883173, d1 = 1, d2 = 7 Dl.O(d1) = 234220215 Dl.O(d2) = 236682278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5784241, s2 = 5883173, dlinesl.size( ) = 14 s1 = 9665723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5784613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5825503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7765146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7765146, s2 = 15284557, int(edited[s2]) = 0 s1 = 7765146, s2 = 15284557, d1 = 59, d2 = 0 Dl.O(d1) = 274613147 Dl.O(d2) = 122006113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7765146, s2 = 15284557, dlinesl.size( ) = 32 s1 = 10346141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10346141, s2 = 9735384, int(edited[s2]) = 0 s1 = 10346141, s2 = 9735384, d1 = 8, d2 = 33 Dl.O(d1) = 43259996,34169810,26301718,19578380,19578379,256183051,255312122,14025577,14025578,19578383,26301722,34169815,30679346,23262784,16999409,16999410,19578371,14025570,9641501,9641500,14025568,19578366,256183047 Dl.O(d2) = 183112766,191719388,199119889,205379330,210559814,214792638,218275763,221201608,223707223,225877332,227770152,265811576,265501814,221337033,221337032,221337035,221337034,221337033,218431922,214973606,210768813,205620963,199397623,192042416,263781010,173714529,173714530 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13872933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7341492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7341492, s2 = 11385678, int(edited[s2]) = 0 s1 = 7341492, s2 = 11385678, d1 = 35, d2 = 41 Dl.O(d1) = 265619450 Dl.O(d2) = 260297528,48055823,48055824,259990459,127617176,262230545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7341492, s2 = 11385678, dlinesl.size( ) = 16 s1 = 5826842, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5827457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5827457, s2 = 10223668, int(edited[s2]) = 0 s1 = 5827457, s2 = 10223668, d1 = 25, d2 = 46 Dl.O(d1) = 235317067 Dl.O(d2) = 260641470,100436087,260041151,91275753,77355885,77355886,77355887,77355888,91275757,105497926,119736229,105497946,91275771,91275772,105497948,119736250,133609785,146866332,146866318,133609769,119736232,119736233,133609770,146866320,159239567,146866333,261200712,260623668,91275774,77355903,77355902,91275772,105497948,119736250,133609785,146866332,146866318,133609774,119736239,260023050,77355895,64208241,52358036,52358035,64208239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5827457, s2 = 10223668, dlinesl.size( ) = 18 s1 = 5827639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5827659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9630125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10338365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10338365, s2 = 250144, int(edited[s2]) = 0 s1 = 10338365, s2 = 250144, d1 = 49, d2 = 54 Dl.O(d1) = 266172843 Dl.O(d2) = 6097887,6291841,9426746,6176835,6176837,8003945,8003919,8003918,11956274,17043133,23303755,30721280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10338365, s2 = 250144, dlinesl.size( ) = 2 s1 = 10338365, s2 = 250144, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10338365, Dl.E( ) = 88, 4.2e-05 seconds used appending s1 = 7391725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5828162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5828162, s2 = 5592609, int(edited[s2]) = 0 s1 = 5828162, s2 = 5592609, d1 = 17, d2 = 9 Dl.O(d1) = 235332445 Dl.O(d2) = 229153255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5828162, s2 = 5592609, dlinesl.size( ) = 34 s1 = 5788420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7364830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7364830, s2 = 14826790, int(edited[s2]) = 0 s1 = 7364830, s2 = 14826790, d1 = 10, d2 = 37 Dl.O(d1) = 265880694 Dl.O(d2) = 244882449,244698405,244698404,267348038,245126103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7364830, s2 = 14826790, dlinesl.size( ) = 14 s1 = 10360859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360859, s2 = 7758087, int(edited[s2]) = 0 s1 = 10360859, s2 = 7758087, d1 = 3, d2 = 43 Dl.O(d1) = 233626038 Dl.O(d2) = 274639491,234017800,232881443,231626473,230228843,228655316,274501050,219696270,274170740,273297088,115623609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360859, s2 = 7758087, dlinesl.size( ) = 20 s1 = 9734790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8920269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9295984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9295984, s2 = 14148330, int(edited[s2]) = 0 s1 = 9295984, s2 = 14148330, d1 = 6, d2 = 4 Dl.O(d1) = 265800465,230747888,232089147,233297314 Dl.O(d2) = 235385639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9295984, s2 = 14148330, dlinesl.size( ) = 2 s1 = 9295984, s2 = 14148330, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9295984, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7456583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8952646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8952646, s2 = 16185728, int(edited[s2]) = 0 s1 = 8952646, s2 = 16185728, d1 = 103, d2 = 125 Dl.O(d1) = 239784401,239207447,238579772,237893547 Dl.O(d2) = 257404665,36639309,28164268,20984248,15071852,15071851,15007979,15007978,10356949,6820955,4278850,2558303,2558304,4278852,6820959,10356954,6821797,6821799,4299860,2570759,2570758,4293703,2567069,1478081,1478083,2567077,4227582,2528228,2528224,4228305,2528197,2528122,1457093,1457095,2527750,4227482,6746671,9100821,13320728,15848273,10983380,10370374,6832472,4286629,4286631,6832477,10370386,9085940,9085936,13304301,18697339,25269189,32993316,41934043,52272884,64122001,77269307,64590963,52690373,42303527,33322769,25560836,18948239,13511482,9245053,6054991,3788971,3788972,6054993,9245059,13511493,254856078,33322776,42303534,52690382,64590971,269323910,91701110,99413223,255425424,59150328,47751782,37829448,29263783,23632436,19860316,14228865,14228864,19860312,26626940,19816563,14194823,9758106,9231170,9231168,13492634,13492632,18926391,24264813,18870216,13492668,13492666,18926441,25133980,31759222,39525308,30914790,23477916,17195406,17195405,23477913,20882918,20882919,28051556,29263771,35081083,34617797,30054627,22678372,16481254,11483601,7638175,4832550,4832551,7638183,11483618,16481293,13493336,9231534,6045928,6045929,9231319,6045916,3782847,2266039,2266040,3782849,6045922,9231517,13493313,18927438,25539825,33302005,42283026,47243097,43889552,41758660,255682576,25132923,21992136,21989385,21989384,26121250,26121249,29321353,26161394,19461375,18983251,18983249,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590578,15334023,21302705,28524319,37022135,46899996,256662246,70981680,84544985,98467051,112457314,126323515,139698424,152424118,164298883,175100401,184684862,262488828,206300620,211315511,215413771,218800401,221660727,224117062,224117061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8952646, s2 = 16185728, dlinesl.size( ) = 2 s1 = 8952646, s2 = 16185728, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8952646, Dl.E( ) = 126, 5.29e-05 seconds used appending s1 = 5791120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7442833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7442833, s2 = 7381026, int(edited[s2]) = 0 s1 = 7442833, s2 = 7381026, d1 = 28, d2 = 22 Dl.O(d1) = 266701212 Dl.O(d2) = 266057752 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13879833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9621320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9621320, s2 = 7443329, int(edited[s2]) = 0 s1 = 9621320, s2 = 7443329, d1 = 1, d2 = 1 Dl.O(d1) = 265070442,264847116,209854995,204493704,264384333,264847114,204493697,209854993,214249453,217857288,220871977,223441273,223441272,223441273,265622940,265492449,227600628,229294480,230792816,232129337,233333749,234424862,235418105,236324883,237153196,266706367,239220112,239796363,240329323,240824325,274885399,242102266,242465255,242802485,243115673,243409218,243682745,243936735,244173761,244394135,244598419,244788591,267447015,245177336,245012277,244836511,244650234,244450516,244236168,244004646,243755712,243486992,267171576,242559329,242204135,242204134,242204128,241819917,241819918,242204129,242204131,241819920,241819919,242204130,242559328,242890145,242559322,242204124,242204123,242204133,241819920,241403868,240954645,240469613,239947253,239383419,238772006,238106515,237375143,237375142,238106513,238106510,237375140,236570108,235686673,266370626,233650227,232479624,231185103,229741588,228114737,226260798,274223710,215431680,211335456,206323093,200261143,193083684,262887738,152480444,260815814,112511768,98516649 Dl.O(d2) = 265070442,264847116,209854995,204493704,264384333,264847114,204493697,209854993,214249453,217857288,220871977,223441273,223441272,223441273,265622940,265492449,227600628,229294480,230792816,232129337,233333749,234424862,235418105,236324883,237153196,266706367,239220112,239796363,240329323,240824325,274885399,242102266,242465255,242802485,243115673,243409218,243682745,243936735,244173761,244394135,244598419,244788591,267447015,245177336,245012277,244836511,244650234,244450516,244236168,244004646,243755712,243486992,267171576,242559329,242204135,242204134,242204128,241819917,241819918,242204129,242204131,241819920,241819919,242204130,242559328,242890145,242559322,242204124,242204123,242204133,241819920,241403868,240954645,240469613,239947253,239383419,238772006,238106515,237375143,237375142,238106513,238106510,237375140,236570108,235686673,266370626,233650227,232479624,231185103,229741588,228114737,226260798,274223710,215431680,211335456,206323093,200261143,193083684,262887738,152480444,260815814,112511768,98516649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9621320, s2 = 7443329, dlinesl.size( ) = 2 s1 = 9621320, s2 = 7443329, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9621320, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7381971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5831721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7370483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7370483, s2 = 8879399, int(edited[s2]) = 0 s1 = 7370483, s2 = 8879399, d1 = 79, d2 = 54 Dl.O(d1) = 265944341,229340163,229340164,230828049,232158099,233358519,233358509,233358508,233358519,233358509,232158091,230828036,230828035,274653365,266479547,234446686,233358513,266069347,229340156,227662414,225748181,265659373 Dl.O(d2) = 266115196,264496346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7370483, s2 = 8879399, dlinesl.size( ) = 56 s1 = 5869344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5832858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7345152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7393109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7423806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7436815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7393485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8845732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8845732, s2 = 8236378, int(edited[s2]) = 0 s1 = 8845732, s2 = 8236378, d1 = 56, d2 = 45 Dl.O(d1) = 265331397,225911447,227799771,227799772,229457434,230930109,232249688,233440735,234522683 Dl.O(d2) = 70348077,57658070,46314024,36461344,268370743,9084149,5942965,5942966,9085621,13303973,14971918,15019317,10347058,10347059,9081231,5939338,3713795,2568897,1479010,836041,836038,1479002,2567986,1478545,835822,835823,1478547,2567992,4295355,6845498,9064299,6762685,5921702,3702842,2217814,2217813,3702840,5921697,5379696,5379697,8335234,10291441,10291440,12344510,8339883,8339884,9087360,10383026,15057343,20830451,20830450,15035950,255109524,14945770,14968287,10313942,10313943,8594808,5584513,3464768,3464767,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129342,12088564,10351015,10351014,14950700,254705523,6760212,6791696,6791697,10322389,255364115,255436852,41819777,41819776,43377431,50358128,40331157,40331158,32896652,32896653,268079780,63956723,77071249,80338822,66912299,66912298,70687459,70687460,84239711,79330649,65967535,65967534,79330646,74634189,74634188,63956726,63956727,70687447,77964926,84867815,85065549,77071251,77071250,90954789,93461121,102262797,256956766,98537327,93461124,79330643,65967530,53901279,50358036,50358037,258284317,257675321,40331330,40331331,257810516,50351954,40325006,31635679,24236438,17861648,12648666,12648665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8845732, s2 = 8236378, dlinesl.size( ) = 32 s1 = 7393670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13904507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5796616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5796616, s2 = 5764905, int(edited[s2]) = 0 s1 = 5796616, s2 = 5764905, d1 = 2, d2 = 7 Dl.O(d1) = 234549451 Dl.O(d2) = 233749515,232589694,231305997,229874020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5796616, s2 = 5764905, dlinesl.size( ) = 2 s1 = 5796616, s2 = 5764905, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5796616, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9051684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10286378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5797457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7758151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7758151, s2 = 10351286, int(edited[s2]) = 0 s1 = 7758151, s2 = 10351286, d1 = 56, d2 = 80 Dl.O(d1) = 274501941,234579197 Dl.O(d2) = 264300854,263262628,258290268,257097682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7758151, s2 = 10351286, dlinesl.size( ) = 34 s1 = 5837231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5837231, s2 = 8141334, int(edited[s2]) = 0 s1 = 5837231, s2 = 8141334, d1 = 26, d2 = 50 Dl.O(d1) = 235562992 Dl.O(d2) = 29282777,25305878,19221834,19221833,25880964,33687351,42717355,257825613,78433392,92469675,106775536,121029369,134827369,134827370,134827371,261255524,121029368,106775531,260081874,134827366,121029371,121029370,114239589,100205327,255982376,59892370,254826386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5837231, s2 = 8141334, dlinesl.size( ) = 2 s1 = 5837231, s2 = 8141334, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5837231, Dl.E( ) = 54, 1.41e-05 seconds used appending s1 = 8908844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5837649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5837649, s2 = 14166231, int(edited[s2]) = 0 s1 = 5837649, s2 = 14166231, d1 = 11, d2 = 8 Dl.O(d1) = 235573614,234592247 Dl.O(d2) = 231015137,266085175,227901266,226025404,223875214,221395563,218503667,215065448,210889221,205776793,199593951,199593950,192288298,183808068,174134829,163279143,272812261,138682584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5837649, s2 = 14166231, dlinesl.size( ) = 2 s1 = 5837649, s2 = 14166231, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5837649, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 5799059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13875201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5969435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5969435, s2 = 5799113, int(edited[s2]) = 0 s1 = 5969435, s2 = 5799113, d1 = 0, d2 = 0 Dl.O(d1) = 239331306,238713436,238040034,237299514,236485382,235593161,234613802,233538470,232355675,231047643,229590172,227950078,226083023,223939158,265154226,210971693,205870797,199703608,192412827,263463718,174281588,163433090,151550544,138848216,260473296,97786557 Dl.O(d2) = 239331306,238713436,238040034,237299514,236485382,235593161,234613802,233538470,232355675,231047643,229590172,227950078,226083023,223939158,265154226,210971693,205870797,199703608,192412827,263463718,174281588,163433090,151550544,138848216,260473296,97786557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5969435, s2 = 5799113, dlinesl.size( ) = 2 s1 = 5969435, s2 = 5799113, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5969435, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5799317, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8881101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7771971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7771971, s2 = 7757375, int(edited[s2]) = 0 s1 = 7771971, s2 = 7757375, d1 = 35, d2 = 30 Dl.O(d1) = 274718213 Dl.O(d2) = 274487222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7771971, s2 = 7757375, dlinesl.size( ) = 26 s1 = 8899390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5710079, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7775328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7775328, s2 = 10715955, int(edited[s2]) = 0 s1 = 7775328, s2 = 10715955, d1 = 54, d2 = 0 Dl.O(d1) = 274768250,235619169 Dl.O(d2) = 46579432,257406941,44872490,44872489,46579456,36693086,256827557,57955982,57955970,46579443,36693077,268907136,28202935,36693095,46579471,57956003,70674870,57955956,46579428,36693061,28202913,28202914,36693066,257406941,44872490,35433815,35433816,44872492,36693080,28202922,28202923,36693082,46579451,57955977,46579452,46579419,257405820,256288196,21011175,28202941,256827561,36693069,36693068,28202917,21011159,21011158,24302442,17918996,12695796,8625051,5607979,5607981,8625057,12695807,14442045,14442044,20136158,16877118,16877119,16201746,11262658,7476818,4725338,4725337,7476813,11262652,16201740,17918952,16201772,11262677,7476828,7476829,7886549,7886260,5008539,3028527,1762191,1762190,3028526,5008714,7886579,11807471,11807129,7886493,5008665,3028504,3028505,5008668,7886499,11807351,16877392,23137675,255963811,16877387,16877336,16877335,23137638,23137654,16877364,16877363,16876875,11806931,11806932,16876880,16876925,11806958,7886217,7886218,11806965,16876933,16877421,11807387,7886520,7886518,7886281,5008549,5008550,7886288,11807078,16877086,23137420,16877514,16877513,23137762,16989698,16877127,11807111,11806442,11806441,7885961,5008375,5008374,7885957,11806544,16876357,16877500,16877501,23136821,16876565,11806684,7886038,5008423,3028394,1762128,1003925,1003927,1762136,3028407,5008451,7886090,11806765,16876659,16876658,23136929,23137168,30554771,30554335,23136667,16989717,16989716,16876521,16876520,23136781,23136596,16876460,16876461,23136487,16876260,16876259,16876643,11806740,11806741,16876646,16876378,11806560,7885966,5008377,3028372,3028374,5008380,7885970,11806563,16876380,255907162,11806477,7885914,5008356,3028362,1762114,1003919,1003918,1762108,3028359,5008350,7885906,11806469,16876250,23136477,30554167,30554437,23136822,18572859,16876228,11806451,7885898,7885899,11806456,16876236,16877307,16877308,23136739,23136738,18572873,16876431,16876432,23136662,23136661,16876452,11806608,7885993,5008393,3028379,1762122,1762124,3028384,5008401,7886011,11806641,16876500,21396615,15410898,10652323,10652322,7885901,7885900,268099155,23136463,23136706,23136707,257009351,42767240,39151915,39151916,39151956,39152165,49082278,39152178,30554404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7775328, s2 = 10715955, dlinesl.size( ) = 28 s1 = 7370828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4831713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4831713, s2 = 12003017, int(edited[s2]) = 0 s1 = 4831713, s2 = 12003017, d1 = 23, d2 = 15 Dl.O(d1) = 198856375,191411200,191411199,198856377,264166717,174961022,164141607,262637683,184566042,192953569,264456369,211247327,206223769,264716789,265357297,226198882,228055882,229685690,231131836,231131835,266208281 Dl.O(d2) = 236826077,235966152,235021966,233984627,232845629,231586749,265588544,226803668,224742910,222369686,219605604,216333877,212389449,207567023,201719862,194772810,186654052,177330488,166775640,166775639,155078675,142434333,129060323,115132521,101057894,87062146,73444635,60696755,60696756,73444638,259461263,259461261,73444628,60696751,49295395,49295396,60696752,73444631,87062141,101057890,93211399,79095343,79095344,79095342,65739137,65739136,79095340,65739141,53682740,43172286,257257133,65739142,259098183,107613537,121985643,121985644,261508741,272179156,126426091,126426090,128775822,114879579,112557149,100828851,86847692,73234739,60488015,49084832,49084831,257436156,39154966,39154967,49084837,39154971,30557403,256464995,49084842,269838731,257436152,256857440,37106136,268206410,254731116,7018811,7018812,9493863,6226458,3898008,2334458,1367803,779073,441962,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441965,779087,1346457,1353183,2334655,3898340,6226853,6298227,6299397,9594589,13972049,19518676,26235328,34098158,257258077,65751580,79107670,79107672,258124584,65739144,53682741,43172287,34088949,26227710,256178279,257257133,65739143,259098183,107613536,121985644,135910004,272179156,126426092,126426093,128775822,114879579,100828849,100828848,98563755,84640606,257436154,46990979,255828040,21365114,15385891,10632863,7018810,4413694,4413695,7018812,9493863,9493862,13840754,18572130,18572131,21405854,255832613,32828429,25124265,18572236,18572235,25124260,32828665,41748613,41750797,41747718,41747717,52061089,52061091,41747699,41747698,52061468,52061238,41747741,41747740,41751128,257175465,32830296,25125540,18573208,13198408,13198407,18573203,25125533,32830289,41751145,46428536,52065066,42861643,33820666,26003459,26003460,26002954,19329990,13822636,9479777,6215978,3890636,3890638,6215985,9479792,13822657,19329961,25124003,25124002,32828402,41749070,32828605,32828606,41747496,32826871,25122690,25122689,26588601,26588600,34575767,43847576,54592161,65321039,65321038,53322319,53322320,53322454,42860226,33818966,26002359,26002360,28999280,26001798,26001795,19329679,19329680,256165957,19783737,19783736,26002383,26002384,33819588,42860509,42860510,53322688,49040491,39110724,30513618,26588589,19783742,14170398,9741628,9741627,14170394,19783735,26588580,33819464,33817834,33817835,42859249,41736137,32815438,32815421,25112222,18562491,18562492,256105301,41736115,32815802,25112545,25112544,25112181,18562457,13190703,13190704,9479574,9479573,13822261,19329397,25112579,19328641,19328642,21115240,255494330,13190683,8992193,8992194,13190686,13190710,255016833,6896107,4328771,4328772,6896109,8992244,13190782,9460804,6299621,3947114,2363368,2362504,1368020,779085,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441965,779087,1346456,778570,778572,1366941,2360876 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 7442804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7442804, s2 = 13869232, int(edited[s2]) = 0 s1 = 7442804, s2 = 13869232, d1 = 22, d2 = 27 Dl.O(d1) = 266700918 Dl.O(d2) = 233604771,232432632,231136233,229690071,228060442,228060441,226203545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7442804, s2 = 13869232, dlinesl.size( ) = 28 s1 = 5713960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5802008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5802008, s2 = 7766019, int(edited[s2]) = 0 s1 = 5802008, s2 = 7766019, d1 = 3, d2 = 32 Dl.O(d1) = 234682277 Dl.O(d2) = 274627024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5802008, s2 = 7766019, dlinesl.size( ) = 32 s1 = 8958822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13926725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7419735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5842252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5762638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9049827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9049827, s2 = 9654741, int(edited[s2]) = 0 s1 = 9049827, s2 = 9654741, d1 = 203, d2 = 201 Dl.O(d1) = 264968193,265546283,274593569,274802746 Dl.O(d2) = 244312555,244522510,244718491,267389887,245236089,245387424,245530124,245664026,245788567,245904895,267509995,246117121,267529688,267507584,246457055,246373632,246373631,246457053,246373637,267482644,246373634,246457058,267482646,246285202,246285203,246373635,246373638,246285205,267438294,245987412,246091886,246190869,267468616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9049827, s2 = 9654741, dlinesl.size( ) = 28 s1 = 5844345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13929639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13929639, s2 = 16069620, int(edited[s2]) = 0 s1 = 13929639, s2 = 16069620, d1 = 52, d2 = 66 Dl.O(d1) = 242345721,241975190,241574318 Dl.O(d2) = 61323370,74106469,87712633,99721062,85766964,72172647,59434008,48042005,38128849,29563293,29563294,38128851,48042006,258122797,71900845,71900846,60728618,60728617,73476895,71900836,59162633,59162632,61741928,50263451,50263452,59162616,47763858,37841182,37841183,47763859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13929639, s2 = 16069620, dlinesl.size( ) = 2 s1 = 13929639, s2 = 16069620, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13929639, Dl.E( ) = 68, 3.91e-05 seconds used appending s1 = 5844985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7768078, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5845454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8900814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8900814, s2 = 8908777, int(edited[s2]) = 0 s1 = 8900814, s2 = 8908777, d1 = 23, d2 = 24 Dl.O(d1) = 265271751,266042841,231314347,266111137,233756761,234812152 Dl.O(d2) = 235774016,274664509,232597509,274595170,229882923,265711492,221899479,219070189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8900814, s2 = 8908777, dlinesl.size( ) = 30 s1 = 8908776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8908776, s2 = 8900815, int(edited[s2]) = 0 s1 = 8908776, s2 = 8900815, d1 = 24, d2 = 28 Dl.O(d1) = 274664508 Dl.O(d2) = 233756764,266111136,231314349,266042840,265271750,274028894,265140797,274028894,270984594,258341194,27063912,20169734,14471018,14471017,20169733,27063909,35149745,27072279,20177057,14476869,14476870,255750099,35158223,44534426,52916865,52916866,55364125,55355658,44509140,38429973,38429972,255974618,86379950,86379949,72783936,258209048,268413467,268738482,259415365,114361556,261208903,271390084,257642738,16603494,11579803,7707679,4878009,2939226,2939227,4878014,7707691,11579819,16603521,15176265,15176266,21124750,21895468,15817315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8908776, s2 = 8900815, dlinesl.size( ) = 32 s1 = 5807109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8879398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8879398, s2 = 7420809, int(edited[s2]) = 0 s1 = 8879398, s2 = 7420809, d1 = 79, d2 = 31 Dl.O(d1) = 264496347,266115197,274653362,266291400,235788186,266185084,237458785,238182320,238840819,239445812,238840821 Dl.O(d2) = 237458787,237458788,237458797,236662020,235788201,234828559,234828558,265944340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8879398, s2 = 7420809, dlinesl.size( ) = 60 s1 = 5846305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5807795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7396582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7396582, s2 = 11266672, int(edited[s2]) = 0 s1 = 7396582, s2 = 11266672, d1 = 32, d2 = 47 Dl.O(d1) = 266225297 Dl.O(d2) = 263014348,260378420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7396582, s2 = 11266672, dlinesl.size( ) = 22 s1 = 5766184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5766184, s2 = 10238996, int(edited[s2]) = 0 s1 = 5766184, s2 = 10238996, d1 = 105, d2 = 124 Dl.O(d1) = 233783028,234835448 Dl.O(d2) = 262071183,262199831,153040366,140342407,126988145,113129795,113129796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5766184, s2 = 10238996, dlinesl.size( ) = 56 s1 = 9054308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9054308, s2 = 2859055, int(edited[s2]) = 0 s1 = 9054308, s2 = 2859055, d1 = 52, d2 = 1 Dl.O(d1) = 266886522,266771194,235799574 Dl.O(d2) = 85595827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9054308, s2 = 2859055, dlinesl.size( ) = 22 s1 = 7396204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7458264, s2 = 14795866, int(edited[s2]) = 0 s1 = 7458264, s2 = 14795866, d1 = 7, d2 = 7 Dl.O(d1) = 266853492,235801061,234843444,234843445,235801062 Dl.O(d2) = 266853492,235801061,234843444,234843445,235801062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7458264, s2 = 14795866, dlinesl.size( ) = 2 s1 = 7458264, s2 = 14795866, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7458264, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14795865, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7397137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5818646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13889801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7778789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7778789, s2 = 7002074, int(edited[s2]) = 0 s1 = 7778789, s2 = 7002074, d1 = 42, d2 = 32 Dl.O(d1) = 274815027 Dl.O(d2) = 261199954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7778789, s2 = 7002074, dlinesl.size( ) = 16 s1 = 10223669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5850202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7319215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5850518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7397962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8902135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5852086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10285367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7398426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5853591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8911184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8911184, s2 = 7496578, int(edited[s2]) = 0 s1 = 8911184, s2 = 7496578, d1 = 98, d2 = 91 Dl.O(d1) = 265897444,234002242,266255730,236839834,237619758,237619748,236839828,235981623 Dl.O(d2) = 267226968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5816897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7426055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361256, s2 = 5644063, int(edited[s2]) = 0 s1 = 10361256, s2 = 5644063, d1 = 29, d2 = 14 Dl.O(d1) = 236503472,237316143,237316139,236503469,236503468,236059777 Dl.O(d2) = 231920693,230559257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361256, s2 = 5644063, dlinesl.size( ) = 2 s1 = 10361256, s2 = 5644063, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10361256, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 5820205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5820451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7783108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7783108, s2 = 10359848, int(edited[s2]) = 0 s1 = 7783108, s2 = 10359848, d1 = 25, d2 = 47 Dl.O(d1) = 274871480,266063978 Dl.O(d2) = 230355902,228794302,228794303,230355903,231743480,232989882,234117461,234393147,233299629,232091757,230750768,229246540,227544727,227544728,229246542,230750771,232091762,266286693,235387703,274579980,223362085,265305836,264887390,264374734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7783108, s2 = 10359848, dlinesl.size( ) = 32 s1 = 5858589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5858589, s2 = 12065023, int(edited[s2]) = 0 s1 = 5858589, s2 = 12065023, d1 = 7, d2 = 4 Dl.O(d1) = 236080553 Dl.O(d2) = 234122543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5858589, s2 = 12065023, dlinesl.size( ) = 2 s1 = 5858589, s2 = 12065023, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5858589, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 7440395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7440395, s2 = 5821248, int(edited[s2]) = 0 s1 = 7440395, s2 = 5821248, d1 = 23, d2 = 8 Dl.O(d1) = 266677312 Dl.O(d2) = 235150439,234125718 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7400028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7400028, s2 = 7448208, int(edited[s2]) = 0 s1 = 7400028, s2 = 7448208, d1 = 96, d2 = 117 Dl.O(d1) = 266262131 Dl.O(d2) = 266754039,274852851,243022064,274946477,267257375 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6164666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6164666, s2 = 7400027, int(edited[s2]) = 0 s1 = 6164666, s2 = 7400027, d1 = 117, d2 = 96 Dl.O(d1) = 243022062,274852850,266754038 Dl.O(d2) = 266262130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7764853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7400353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5822919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5860597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8925691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5896630, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7776379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5863611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5696149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5826818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7368790, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7368790, s2 = 7563155, int(edited[s2]) = 0 s1 = 7368790, s2 = 7563155, d1 = 34, d2 = 36 Dl.O(d1) = 265924994 Dl.O(d2) = 268022126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7368790, s2 = 7563155, dlinesl.size( ) = 60 s1 = 8904987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8904987, s2 = 15276148, int(edited[s2]) = 0 s1 = 8904987, s2 = 15276148, d1 = 107, d2 = 102 Dl.O(d1) = 233202539,234304981,235308342 Dl.O(d2) = 231131214,229684935,265692016,274457219,228055020,265692018,224064946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8904987, s2 = 15276148, dlinesl.size( ) = 18 s1 = 9727964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5827477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5864998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5864998, s2 = 4013647, int(edited[s2]) = 0 s1 = 5864998, s2 = 4013647, d1 = 12, d2 = 3 Dl.O(d1) = 236237362 Dl.O(d2) = 147153106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5864998, s2 = 4013647, dlinesl.size( ) = 2 s1 = 5864998, s2 = 4013647, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5864998, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 13869231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5865753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5828823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5828823, s2 = 13535564, int(edited[s2]) = 0 s1 = 5828823, s2 = 13535564, d1 = 27, d2 = 28 Dl.O(d1) = 235348823,236260515 Dl.O(d2) = 240286365,239749955,239169322,238536524,237845682,237085819,236253960,235342170,234342146,233242926,232028615,230680346,229167077,227454220,225496150,223245797,220643720,217584731,213919638,209455577,204014921,197493409,189834125,263413512,170828429,170828428,180951519,180951521,172990144,161822640,149517871,273041847,180951519,180951521,180951522,170828431,170828430,180951521,180951522,170828431,159497022,147135310,133910970,120067923,105855785,91647966,77720699,64538938,52639880,52639881,64538940,52639883,42254402,33274826,33274827,42254403,47305444,37395903,28855156,28855155,37395901,42157956,42158095,33198325,25451913,18853534,18853535,256128125,25451853,18853496,13432742,9183994,9183993,13432739,18853491,25451845,28855120,30583854,30583853,39181593,49111089,60513877,57441895,57441894,57441896,46142220,36329093,36329092,46142218,57441893,52845528,52845529,64765358,52845500,42441030,42441031,52845503,52845505,64765365,77960260,77960261,83625696,97508746,259238117,70100449,57441924,57441923,70100447,259238115,111462341,125294398,125501591,111695817,97774427,83916228,83916229,97774429,111695819,125501596,118620632,104436275,90285352,76455495,76455494,90285351,104436273,111695834,97774459,97774452,83916248,83916246,83916247,97774450,111695833,109737670,95527856,81492067,68008091,55620151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5828823, s2 = 13535564, dlinesl.size( ) = 2 s1 = 5828823, s2 = 13535564, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5828823, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 7388972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8878961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5850226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8868276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5868073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5868073, s2 = 1751018, int(edited[s2]) = 0 s1 = 5868073, s2 = 1751018, d1 = 23, d2 = 0 Dl.O(d1) = 236315565 Dl.O(d2) = 46357211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5868073, s2 = 1751018, dlinesl.size( ) = 2 s1 = 5868073, s2 = 1751018, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5868073, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 8885486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7429084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7429084, s2 = 6572805, int(edited[s2]) = 0 s1 = 7429084, s2 = 6572805, d1 = 67, d2 = 82 Dl.O(d1) = 266562937 Dl.O(d2) = 105339978,115623517,270072168,115623487,101583447,258859887,61231447,49752267,47709488,47709489,59107618,64060289,52218932,41887632,32952323,32952322,41887499,32952225,25232492,18663655,18663654,25232490,32952222,41887495,52218776,64060324,77201537,257766925,52219054,64060585,64060593,64060592,77201788,77201692,64060471,52218927,41887628,256108639,18663690,256108641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7429084, s2 = 6572805, dlinesl.size( ) = 2 s1 = 7429084, s2 = 6572805, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7429084, Dl.E( ) = 92, 1.98e-05 seconds used appending s1 = 8889213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5832976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5832976, s2 = 7472590, int(edited[s2]) = 0 s1 = 5832976, s2 = 7472590, d1 = 0, d2 = 49 Dl.O(d1) = 235458403 Dl.O(d2) = 242171434,242171435,242529064,266993024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5832976, s2 = 7472590, dlinesl.size( ) = 38 s1 = 5832977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7330710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7330710, s2 = 7534958, int(edited[s2]) = 0 s1 = 7330710, s2 = 7534958, d1 = 25, d2 = 21 Dl.O(d1) = 265501154,235459735 Dl.O(d2) = 267576838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7330710, s2 = 7534958, dlinesl.size( ) = 18 s1 = 5870278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8854404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5825022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8921120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10285999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7761313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7761313, s2 = 7710487, int(edited[s2]) = 0 s1 = 7761313, s2 = 7710487, d1 = 34, d2 = 61 Dl.O(d1) = 274553936 Dl.O(d2) = 128323565,141673304,154325712,166075223,176712454,176712455,273364137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7761313, s2 = 7710487, dlinesl.size( ) = 2 s1 = 7761313, s2 = 7710487, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7761313, Dl.E( ) = 62, 2.38e-05 seconds used appending s1 = 9278445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9278445, s2 = 11066130, int(edited[s2]) = 0 s1 = 9278445, s2 = 11066130, d1 = 76, d2 = 78 Dl.O(d1) = 263023885,264125447,264682115,218329064,221245383,265670385,229455195,266077495,266298079 Dl.O(d2) = 1972559,1126194,631569,254136131,267800613,5457744,8449519,12478832,255573121,255186687,12460947,8429765,8429770,12455324,8423651,5437077,5437079,254601689,5454977,8446264,12476150,17625630,254858507,8416519,8416518,12448249,12450208,8418594,8418568,8418569,12450175,9139053,8405918,7250874,7250875,8419149,5441913,3345385,3345384,5441911,8429861,12461036,255187229,8446548,8446547,8428951,5441160,3344901,3344900,3343517,3335587,3335586,5426076,5979775,5979774,9137935,13370151,17633897,17632802,12454922,8423279,8423283,8434286,8434288,12465553,12458988,12458985,12442921,12442916,12438048,8406613,8406617,5454824,5454828,5438688,5438687,5438774,3353269,3353268,3353287,3353288,5448543,5448544,3349505,1969295,1969294,3349500,5448563,5448330,5448331,5451419,3351247,3351248,5451424,8442180,12472782,8449791,8449793,8451059,8451061,8423971,5437315,5437313,8423978,12455653,255431691,12465332,12465331,12477656,8448026,268000955,255574987,12460994,8429821,8429820,11951795,11951796,12453510,12448771,12448767,8422584,5436322,5436321,8422581,12454260,17632289,17623029,12442105,12442106,254860017,5448188,5448189,8426842,8411101,5427826,254598509,12442761,10723341,10723342,15505638,17619272,12437408,8406017,8406016,8425607,12453564,12469042,12458658,8427199,8414775,8414776,8433640,8433641,8449725,5457913,3355514,1972631,1126235,631592,350650,350653,631599,1121813,1121811,1964049,3336428,1962170,1962172,3336431,5427386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9278445, s2 = 11066130, dlinesl.size( ) = 36 s1 = 7367299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14797707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14797707, s2 = 7411748, int(edited[s2]) = 0 s1 = 14797707, s2 = 7411748, d1 = 6, d2 = 6 Dl.O(d1) = 266568152,266558782,266385600 Dl.O(d2) = 266568152,266558782,266385600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14797707, s2 = 7411748, dlinesl.size( ) = 2 s1 = 14797707, s2 = 7411748, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14797707, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5872087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9599133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7403709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7403816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13919047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9610610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7421896, s2 = 14532431, int(edited[s2]) = 0 s1 = 7421896, s2 = 14532431, d1 = 43, d2 = 72 Dl.O(d1) = 266490037,235558457,236453421 Dl.O(d2) = 6592415,10030880,12569392,8523653,8523650,12569384,17762880,12641430,12641428,12641438,17850338,19236948,16057888,11149740,11149739,16057884,22184807,22753339,30139116,38718710,48636602,60029530,72766493,71077287,58360650,46990457,37105681,28597638,21934217,21934218,29255284,29255286,29255285,37820539,47742815,59141517,71879775,85464501,99405281,113406100,127264295,140609854,153289735,165103142,175828171,185333350,264202801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7421896, s2 = 14532431, dlinesl.size( ) = 26 s1 = 9724620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5837061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9294124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5873785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5873785, s2 = 16167756, int(edited[s2]) = 0 s1 = 5873785, s2 = 16167756, d1 = 56, d2 = 52 Dl.O(d1) = 238019031,237275717,236459214 Dl.O(d2) = 59080889,71821943,85410352,80313528,66884426,257169942,43884567,54626930,49834734,39811561,31129434,23641974,17325223,255550083,31129432,256020522,61317716,74100736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5873785, s2 = 16167756, dlinesl.size( ) = 2 s1 = 5873785, s2 = 16167756, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5873785, Dl.E( ) = 60, 3.79e-05 seconds used appending s1 = 9578912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5874174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5874198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5874198, s2 = 11192600, int(edited[s2]) = 0 s1 = 5874198, s2 = 11192600, d1 = 63, d2 = 94 Dl.O(d1) = 236472784 Dl.O(d2) = 256914397,59186083,71925475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5874198, s2 = 11192600, dlinesl.size( ) = 14 s1 = 5874328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8907231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5874970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7430203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7430203, s2 = 7360153, int(edited[s2]) = 0 s1 = 7430203, s2 = 7360153, d1 = 4, d2 = 12 Dl.O(d1) = 266575075 Dl.O(d2) = 274658665,233546425,266404769,234621136,235600082,266649671,238046240,238719303,239336803,238719297,238046237,237305887,274737818,266404769,234621136,235600082,236491972,237305893,236491980,274689399,234621141,235600091,235600085,235600086,236491975,237305896,238046238,238719295,238046235,237305885,236491970,235600080,274658665,233546425,266404769,234621136,235600082,266649671,238046240,238719303,239336803,239336802,238719299,266782795,238719299,266782795,238719299,266649673,237305894,236491978,266575077,236491980,274689399,234621141,235600087,235600088,235600090,234621140,233546429,233546428,234621139,235600088,236491977,235600093,266307799,233546430,234621141,235600087,235600088,235600090,235600089,266575077,236491980,274689399,234621141,235600091,235600085,235600086,236491975,237305895,266719219,237305890,266494073,234621133,234621134,233546429,233546428,234621138,235600086,236491975,237305895,237305891,266494073,235600081,235600092,266307799,232364553,231057480,265831703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7430203, s2 = 7360153, dlinesl.size( ) = 2 s1 = 7430203, s2 = 7360153, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7430203, Dl.E( ) = 14, 4.05e-06 seconds used appending s1 = 13983615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5839043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9267579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13901089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5839402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5839510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5840104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8941144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7766038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9298227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9298227, s2 = 5910882, int(edited[s2]) = 0 s1 = 9298227, s2 = 5910882, d1 = 321, d2 = 113 Dl.O(d1) = 233645893,234711494 Dl.O(d2) = 237342062 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13896709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5842209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5878498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5878498, s2 = 7033659, int(edited[s2]) = 0 s1 = 5878498, s2 = 7033659, d1 = 12, d2 = 29 Dl.O(d1) = 236580415 Dl.O(d2) = 274338576,211357962,264959598,200293274,193121383,184763479,184763478,273701819,193121383,184763479,175191142,164403900,164403901,262652098,261649090,259917536,71104570,58387853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5878498, s2 = 7033659, dlinesl.size( ) = 20 s1 = 5842318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13875891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7419996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5879099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5879099, s2 = 15516227, int(edited[s2]) = 0 s1 = 5879099, s2 = 15516227, d1 = 25, d2 = 45 Dl.O(d1) = 236590740 Dl.O(d2) = 254501378,21440896,28691727,37216664,33792689,25981664,24637974,24637973,25332420,24521944,18090469,18090468,24521940,32097174,37989144,29427684,24521949,18090472,18090473,24521953,32097191,33081186,25350211,18768458,13364794,13364795,18768461,25350215,33081193,42025249,51325135,41140688,41140687,269455993,47008791,37122080,37122081,39236698,36490258,28027748,28027747,36490256,256507946,53855566,53855567,49163473,39236708,30638680,23215557,16943462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5879099, s2 = 15516227, dlinesl.size( ) = 16 s1 = 7385461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8900539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7405780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7244462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7244462, s2 = 13060760, int(edited[s2]) = 0 s1 = 7244462, s2 = 13060760, d1 = 56, d2 = 66 Dl.O(d1) = 264481367,265852905,266323701,235754393 Dl.O(d2) = 236237694,266419558,266587004,239737580,266507486,266587006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5844760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5881023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5845062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5845345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5845814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7406144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5720575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5720575, s2 = 2871993, int(edited[s2]) = 0 s1 = 5720575, s2 = 2871993, d1 = 82, d2 = 117 Dl.O(d1) = 232612074,274664841 Dl.O(d2) = 264760101,264218525,185615593,176154383,165475815,153697268,141031639,127683984,113816484,99802905,85850937,72259947,59526409,48139359,38229176,29662677,22310016,22310015,29662676,38229175,46984000,48139347,38229164,38229163,48139343,41744258,32823254,25119093,18567921,13194758,13194759,18567922,25119095,256580307,32168358,40948085,37099964,28592823,21360813,15382522,15382521,15450338,15450336,21447032,24264876,23477906,17195398,12091463,12091462,9415901,9415900,13742972,18705690,19816700,19816697,25470534,18870289,18870288,25470308,29823147,30054627,22678372,16481254,11483601,7638175,4832550,4832551,7638183,11483618,16481293,13493336,9231534,6045928,6045929,9231319,6045824,3782840,3782841,6045884,3782829,2266035,2266036,3782835,5431096,3338619,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914175,14415323,20105209,26996228,33564192,25774690,19134374,13662721,13662719,19134382,25774703,29322635,29322636,28422194,28422192,36823967,28328358,28328357,36823961,37499135,28956326,28956327,28956391,28956389,28910094,28910095,37449696,36779732,28283576,21078223,21078219,28283566,36779713,34010590,26168734,26168735,34010593,43068440,53538993,52889279,42482663,33486842,25712015,19084229,19084227,18415159,18415160,24924143,32580939,34755189,34755188,44072025,39098580,30502717,23088784,16834955,11772764,11772765,11772691,11772692,16834824,23088590,30502481,30502610,30046857,23088529,23088531,255177700,254595304,267910444,21078271,21078269,15140731,15140729,21069059,15134031,10437929,10437931,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018280,11018278,13907847,9545040,9545041,13907833,13907834,254449184,19235369,13925588,13925589,19458669,26158131,254737326,254836780,48324196,54619650,43877248,34606614,26618596,19809170,14189236,9754151,9754150,14189235,19809167,26618591,32168281,24582460,18138946,18138944,24582459,32168277,40947968,51091387,47675572,37753078,29191621,268626197,47675566,59076045,71817476,270451281,75669820,75669819,269869122,85876768,99830668,113846721,113846724,122917148,108651963,94363829,80307143,66877534,66877535,80307145,94363830,108651955,122917142,136749164,149891171,157092985,144691896,131465980,260109886,89433144,89433145,89433213,103529124,258870568,85876741,72284641,59550408,48163765,48163766,59550411,72284647,258248106,85876755,85876754,94363820,94363821,99830652,85876751,85876752,85876765,80307172,66877550,257286279,258503915,94363857,85876761,85876762,88367536,88367535,102364510,116457858,259911346,115780338,106779971,92473481,259699999,99864231,85908730,258135045,59580723,72315336,85908732,89433182,103529102,117661716,129666440,129666441,142994293,154600179,143004578,131465998,117661699,103529078,103529079,103529088,103529087,117661704,112280792,98299188,84390612,70833554,58118941,54668168,43925682,255076968,26660765,257887835,80350723,93007125,92442920,257309174,65125221,78407050,92442912,93007133,93007134,269317872,121797163,256874702,93007124,107414997,107414993,93007120,93007121,93007117,93007118,107414990,121797152,135736234,148974835,161280354,172480813,172456495,161256438,148951016,135711758,121770965,107385859,92974830,78862775,65526865,53501390,43022095,33964509,26126311,19431773,13903735,9541716,6259973,6259970,9541711,13903730,19431770,26126309,33964507,43022093,50173641,40148316,31464819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5720575, s2 = 2871993, dlinesl.size( ) = 46 s1 = 9678100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5846643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5883980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8873446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7458468, s2 = 15310836, int(edited[s2]) = 0 s1 = 7458468, s2 = 15310836, d1 = 45, d2 = 33 Dl.O(d1) = 266855414,235834482,266332944,232679175,231404484 Dl.O(d2) = 8156516,7526456,7526455,5110420,3103090,3098363,3098359,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,587158,327848,327851,587174,1042929,1826313,1826314,1844519,3152486,5170472,4760661,3188581,3108755,1818345,1818347,1839346,1819432,1819433,3113493,5110345,254822097,12125420,254822425,5116056,3107414,1815746,1815745,1817928,3096805,1819394,1819393,3113434,3113187,3113188,3109825,3109826,3154457,5163829,3155212,1847988,1847929,1847932,1810477,1034008,1034005,1810464,1867605,3155540,5174007,4755345,4755346,5153622,7521358,4755480,4755479,5102788,254567563,3105181,3105182,3131471,5146647,4760059,2869231,1665215,1665216,2869233,254534791,5173299,3154907,3154906,3125303,1826911,1042780,1042781,1035623,1035626,1813582,3103837,5111441,5173275,5173274,5136579,3123370,2870605,1665990,1665993,1821451,3116749,3133267,1831784,1045409,1045407,1831779,3133257,3125541,1827054,1827055,3125548,3114274,1829210,1828929,1814587,1036166,1036165,1814523,1036140,1036142,1814530,1812630,1039743,1039742,1821288,3097113,3097110,3106718,1815309,1815310,3106721,3106653,3106652,3116508,3155584,3155583,5174061,5178053,8043057,8043060,9857789,14347648,11686064,9858113,6475673,4058042,4058041,6475656,9858094,9857397,9857398,11686919,8060277,8060278,11997037,11997036,17084582,11999430,11634250,7750569,4908459,4908458,7750568,8048198,8041523,5131937,5131936,7792916,11686039,15982488,15982489,11680645,7788866,4938298,2979886,2979889,2981871,2981870,4941419,7793350,11686577,11095220,7358391,4908406,4908407,7750467,11634018,11579505,7707507,4877922,4877927,7707520,8023374,8023376,11976704,11633887,7750364,4908351,4908354,7750374,7750383,7750384,11633919,16668227,17067141,17067140,22899191,16731442,14519527,14519524,16716779,11675009,7784674,7784673,7750112,7750111,11633460,11675899,16717730,22954361,16734269,16734268,20974085,22454990,16286419,11328581,11328580,16286413,16714033,16714031,15981884,11977209,11977210,11633349,7750031,7750030,7781143,4931700,4931701,7781149,7781192,7781189,11672220,16714005,20031417,26915740,255509256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7458468, s2 = 15310836, dlinesl.size( ) = 18 s1 = 8935710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5848616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5848616, s2 = 9613482, int(edited[s2]) = 0 s1 = 5848616, s2 = 9613482, d1 = 6, d2 = 23 Dl.O(d1) = 235839996 Dl.O(d2) = 265896854,227753517,225857504,223684130,221175836,221175835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5848616, s2 = 9613482, dlinesl.size( ) = 2 s1 = 5848616, s2 = 9613482, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5848616, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 13901405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5918136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5918136, s2 = 218502, int(edited[s2]) = 0 s1 = 5918136, s2 = 218502, d1 = 39, d2 = 47 Dl.O(d1) = 266731930,237512445 Dl.O(d2) = 7131432,7131433,8547150,12596119,12193252,8223549,5293749,5293748,7712092,7712089,10793088,7130797,7130796,10793081,11015040,7291861,7291863,7132120,4490134,4490137,7132136,10794843,10711765,7076620,5355677,5355675,8301642,11903056,12291841,8301495,8301482,8301483,10961486,7255686,7255687,8185783,8185782,11550693,7684921,7684922,11312688,7511207,6042701,3780494,3780495,4511420,254744057,13486104,10836794,10836793,12682192,8613835,8613833,8613834,7511047,4747910,2861321,2861320,4747907,4862578,2930141,2930142,4862582,7684907,11550669,15654882,15654883,11586524,267973325,4668797,2812614,1631615,1570641,1570640,2711229,4511992,7163930,7164875,10837460,10837461,11172139,11172140,11966312,15656043,15656041,15654875,10835879,7162903,7162901,10835875,15605476,15605474,21637346,28911983,37451604,37910037,29341033,22009201,255068189,7303346,254761103,4624500,2784913,2784914,4624496,4624495,7323394,8187841,12157222,16769203,12195089,8225219,8225220,254838589,5291589,3242890,1903034,1903031,3242835,3242837,5291526,5461887,3358148,3358147,4625426,2785649,1615831,1615832,2785651,4625431,7324438,11049184,8207835,8207836,12175916,255450288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5918136, s2 = 218502, dlinesl.size( ) = 34 s1 = 6003794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7452813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7452813, s2 = 8431915, int(edited[s2]) = 0 s1 = 7452813, s2 = 8431915, d1 = 104, d2 = 107 Dl.O(d1) = 266799868,236731987 Dl.O(d2) = 92769941,92769942,107111673,272036679,273928576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7452813, s2 = 8431915, dlinesl.size( ) = 48 s1 = 10360160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360160, s2 = 7224764, int(edited[s2]) = 0 s1 = 10360160, s2 = 7224764, d1 = 41, d2 = 25 Dl.O(d1) = 236732837,266518086,266336594,232719962,232719963,274667555,266123588,230032425 Dl.O(d2) = 264232092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360160, s2 = 7224764, dlinesl.size( ) = 34 s1 = 5850240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5812247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8884369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8941636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8941636, s2 = 206400, int(edited[s2]) = 0 s1 = 8941636, s2 = 206400, d1 = 47, d2 = 0 Dl.O(d1) = 266860798 Dl.O(d2) = 4914111,256993951,60223878,269099390,39813658 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5852021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13905265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13905265, s2 = 11537348, int(edited[s2]) = 0 s1 = 13905265, s2 = 11537348, d1 = 74, d2 = 60 Dl.O(d1) = 237418372,236779970 Dl.O(d2) = 274352785,223173904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13905265, s2 = 11537348, dlinesl.size( ) = 2 s1 = 13905265, s2 = 11537348, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13905265, Dl.E( ) = 98, 2.6e-05 seconds used appending s1 = 7416702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7447117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5837813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5837813, s2 = 7440396, int(edited[s2]) = 0 s1 = 5837813, s2 = 7440396, d1 = 7, d2 = 22 Dl.O(d1) = 235580282,235950429 Dl.O(d2) = 266677313,266743499,266677314,236811635,235950426,266346192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 7773549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7773549, s2 = 15055932, int(edited[s2]) = 0 s1 = 7773549, s2 = 15055932, d1 = 80, d2 = 10 Dl.O(d1) = 274741489,237976357,237598748,236815403 Dl.O(d2) = 22313760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7773549, s2 = 15055932, dlinesl.size( ) = 22 s1 = 5854827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5890109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5890241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8918053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10287213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7776645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7766931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5890372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7440937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7440937, s2 = 10357813, int(edited[s2]) = 0 s1 = 7440937, s2 = 10357813, d1 = 98, d2 = 86 Dl.O(d1) = 266682746 Dl.O(d2) = 263235904 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13887053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7417830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13758121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13758121, s2 = 7238709, int(edited[s2]) = 0 s1 = 13758121, s2 = 7238709, d1 = 204, d2 = 176 Dl.O(d1) = 177892795,262671998,202131513,207929262 Dl.O(d2) = 264416826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13758121, s2 = 7238709, dlinesl.size( ) = 34 s1 = 7473216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8886185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9300679, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5893500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8925213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5894394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5894845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5894845, s2 = 1272551, int(edited[s2]) = 0 s1 = 5894845, s2 = 1272551, d1 = 5, d2 = 0 Dl.O(d1) = 236957536 Dl.O(d2) = 31979664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5894845, s2 = 1272551, dlinesl.size( ) = 18 s1 = 7769235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8934714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10291073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5895759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5896588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5896588, s2 = 5767136, int(edited[s2]) = 0 s1 = 5896588, s2 = 5767136, d1 = 22, d2 = 11 Dl.O(d1) = 236997775 Dl.O(d2) = 233803536 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8876666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8876666, s2 = 8812096, int(edited[s2]) = 0 s1 = 8876666, s2 = 8812096, d1 = 8, d2 = 4 Dl.O(d1) = 264598460,226294230,228145109,229769311,266414625,236584969,235703634,234734760,234734761,235703633,236584971,237388176,237388175,237002220,236161823,236161822,237002219 Dl.O(d2) = 235239826,234226848,233112296,231879472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8876666, s2 = 8812096, dlinesl.size( ) = 2 s1 = 8876666, s2 = 8812096, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8876666, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 9628135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5897703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5863543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5863543, s2 = 5790012, int(edited[s2]) = 0 s1 = 5863543, s2 = 5790012, d1 = 10, d2 = 12 Dl.O(d1) = 227352568,229078987,230602718,265455268,234285582,265914140,236206545,237041421 Dl.O(d2) = 237110747,237110748,237867915,266545100,266383556,235373014,236281277,266474166,238557386,239189322,239769636,239189324,238557375,237867911,237867912,237867910,266556952,237110749,237110750,237110747,237110748,237867915,266545100,266383556,234376675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5863543, s2 = 5790012, dlinesl.size( ) = 2 s1 = 5863543, s2 = 5790012, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5863543, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 7356175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7368735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5864024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8907375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8907375, s2 = 8887735, int(edited[s2]) = 0 s1 = 8907375, s2 = 8887735, d1 = 31, d2 = 22 Dl.O(d1) = 233557410,234630486,266576009,274760942,236219340 Dl.O(d2) = 274534836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8907375, s2 = 8887735, dlinesl.size( ) = 32 s1 = 5864222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5864222, s2 = 7518717, int(edited[s2]) = 0 s1 = 5864222, s2 = 7518717, d1 = 19, d2 = 17 Dl.O(d1) = 236219511,237054254,237816546,238509705,239144331,239727546,240266705,240766884,241230042,241230040,241230041,241658990,241230043,241230042,241658988 Dl.O(d2) = 267429011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5864222, s2 = 7518717, dlinesl.size( ) = 2 s1 = 5864222, s2 = 7518717, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5864222, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 5864627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5899261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5899978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13914261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13914261, s2 = 5789404, int(edited[s2]) = 0 s1 = 13914261, s2 = 5789404, d1 = 37, d2 = 0 Dl.O(d1) = 234359472,234359474,235358534,236269538,237100905,237100891,266631599,237100902,237100901,237100896,237100897,237100898,237100899,237100886,266631597,237859821 Dl.O(d2) = 234359470,233261459,232049146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13914261, s2 = 5789404, dlinesl.size( ) = 14 s1 = 5953781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7411749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7436425, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7478571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7412304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7412304, s2 = 14180009, int(edited[s2]) = 0 s1 = 7412304, s2 = 14180009, d1 = 1, d2 = 1 Dl.O(d1) = 266390949,236357419,237182564,266638629,237182562,237182557,236357413,266563311,235454312,266293047,232179963,230853710,229372056,227703748,227703747,227703749,229372058,265662153,223620075,221101559,218156365,214645397,210375473,205151761,263777591,182745833,172846147,161687916,149397376,136148336,261516849,122186808,107782688,259104913,53802400,43277594,34181143,257846442 Dl.O(d2) = 266390949,236357419,237182564,266638629,237182562,237182557,236357413,266563311,235454312,266293047,232179963,230853710,229372056,227703748,227703747,227703749,229372058,265662153,223620075,221101559,218156365,214645397,210375473,205151761,263777591,182745833,172846147,161687916,149397376,136148336,261516849,122186808,107782688,259104913,53802400,43277594,34181143,257846442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7412304, s2 = 14180009, dlinesl.size( ) = 2 s1 = 7412304, s2 = 14180009, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7412304, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7419328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5869939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166232, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5870601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7392355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5905912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9301102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5906330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9623416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9623416, s2 = 72958, int(edited[s2]) = 0 s1 = 9623416, s2 = 72958, d1 = 7, d2 = 7 Dl.O(d1) = 266393577,236385018,237207970,266710631,238641029,239266333,239841108,266940427,241317796,241739124,242128761,267131562,242128758,242490133,242826774,242826779,242826775,242490134,242490135,274880168,242146696,241758166,241337261,266747806,239864530,239292348,238670484,237992143,237246590,236427572,266022566,234545534,234545535,233463783,232272521,232272522,233463784,234545538,234545537,234545536,234545537,233463783,232272521,230952988,229480956,227824493,225938240,223775922,221281535,218369714,214904972,210694251,205539550,199307767,191942236,183380032,173585549,260110170,123654157,257639258,268676888,55344028,44497722,254843324,20140494,14446463,10526267,6942284,4363005,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942956,8116300,8116304,9234640,13497848,15289136,15263008,10530971,6945151,4364492,4337583,2596792,1498010,848893,848894,1498014,2596806,4337608,6906087,10474041,15184702,10698461,7068026,7068027,10698463,12052592,267910490,15469840,10696803,10696802,15469838,13519138,13519139,18955650,17559683,17559682,267910744,8112701,5197517,5197520,4978535,3007404,3007405,4978539,3321952,3321957,5402979,8371741,254853173,8375500,8375501,255179123,256021055,269395416,36844914,28347440,268253368,6906065,10474004,255381657,28347441,36844916,46728023,258027249,84376140,98285583,112267502,126126730,139501632,262151471,174940738,184547095,187560518,178364132,167942854,156368706,262044066,130526659,260944000,102585455,88575489,258470272 Dl.O(d2) = 266393577,236385018,237207970,266710631,238641029,239266333,239841108,266940427,241317796,241739124,242128761,267131562,242128758,242490133,242826774,242826779,242826775,242490134,242490135,274880168,242146696,241758166,241337261,266747806,239864530,239292348,238670484,237992143,237246590,236427572,266022566,234545534,234545535,233463783,232272521,232272522,233463784,234545538,234545537,234545536,234545537,233463783,232272521,230952988,229480956,227824493,225938240,223775922,221281535,218369714,214904972,210694251,205539550,199307767,191942236,183380032,173585549,260110170,123654157,257639258,268676888,55344028,44497722,254843324,20140494,14446463,10526267,6942284,4363005,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942956,8116300,8116304,9234640,13497848,15289136,15263008,10530971,6945151,4364492,4337583,2596792,1498010,848893,848894,1498014,2596806,4337608,6906087,10474041,15184702,10698461,7068026,7068027,10698463,12052592,267910490,15469840,10696803,10696802,15469838,13519138,13519139,18955650,17559683,17559682,267910744,8112701,5197517,5197520,4978535,3007404,3007405,4978539,3321952,3321957,5402979,8371741,254853173,8375500,8375501,255179123,256021055,269395416,36844914,28347440,268253368,6906065,10474004,255381657,28347441,36844916,46728023,258027249,84376140,98285583,112267502,126126730,139501632,262151471,174940738,184547095,187560518,178364132,167942854,156368706,262044066,130526659,260944000,102585455,88575489,258470272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9623416, s2 = 72958, dlinesl.size( ) = 2 s1 = 9623416, s2 = 72958, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9623416, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7337671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7337671, s2 = 7771811, int(edited[s2]) = 0 s1 = 7337671, s2 = 7771811, d1 = 41, d2 = 72 Dl.O(d1) = 265577560,230956045,232275350,233466587,266238840,236429972 Dl.O(d2) = 274715855,265877080,230956045,232275349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7337671, s2 = 7771811, dlinesl.size( ) = 34 s1 = 7400405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5907829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7394402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5838073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9724438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8890469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8890469, s2 = 5908642, int(edited[s2]) = 0 s1 = 8890469, s2 = 5908642, d1 = 1, d2 = 1 Dl.O(d1) = 221448576,223926391,226071712,265829321,229581300,231039638,232348312,233531973,274688969,236481055,237295564 Dl.O(d2) = 221448576,223926391,226071712,265829321,229581300,231039638,232348312,233531973,274688969,236481055,237295564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8890469, s2 = 5908642, dlinesl.size( ) = 2 s1 = 8890469, s2 = 5908642, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8890469, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8907170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8859145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5874884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5874884, s2 = 7293438, int(edited[s2]) = 0 s1 = 5874884, s2 = 7293438, d1 = 3, d2 = 27 Dl.O(d1) = 236490126 Dl.O(d2) = 223656537,265456028,265070386,273420804,161892227,149587478,136318702,260807028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5874884, s2 = 7293438, dlinesl.size( ) = 22 s1 = 5909206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7387595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5550457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13905479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7764630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7764630, s2 = 10360600, int(edited[s2]) = 0 s1 = 7764630, s2 = 10360600, d1 = 6, d2 = 11 Dl.O(d1) = 274604433,266720466 Dl.O(d2) = 265834388,226992265,224956016,222611783,219882196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7764630, s2 = 10360600, dlinesl.size( ) = 14 s1 = 9616923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5875936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5875936, s2 = 6054633, int(edited[s2]) = 0 s1 = 5875936, s2 = 6054633, d1 = 2, d2 = 11 Dl.O(d1) = 236509542 Dl.O(d2) = 240625609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5875936, s2 = 6054633, dlinesl.size( ) = 2 s1 = 5875936, s2 = 6054633, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5875936, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 7437810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7437810, s2 = 16347916, int(edited[s2]) = 0 s1 = 7437810, s2 = 16347916, d1 = 21, d2 = 23 Dl.O(d1) = 266651911 Dl.O(d2) = 58012404,46638031,257411645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7437810, s2 = 16347916, dlinesl.size( ) = 28 s1 = 15046091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9303005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7766020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9629577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9629577, s2 = 7444978, int(edited[s2]) = 0 s1 = 9629577, s2 = 7444978, d1 = 1, d2 = 1 Dl.O(d1) = 236538171,236538177,236538178,266517194,274745469,266722893,239367803,238752855,238752854,238752860,238083126,237346988,236538176,235652527,235652526,236538172,274745471,238083121,266595976,266722895,239367805,239933922,240457810,240943707,241393612,241063612,266913526,239525860,239525861,238928334,238278273,237564198,237564197,238278269,266803301 Dl.O(d2) = 236538171,236538177,236538178,266517194,274745469,266722893,239367803,238752855,238752854,238752860,238083126,237346988,236538176,235652527,235652526,236538172,274745471,238083121,266595976,266722895,239367805,239933922,240457810,240943707,241393612,241063612,266913526,239525860,239525861,238928334,238278273,237564198,237564197,238278269,266803301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9629577, s2 = 7444978, dlinesl.size( ) = 2 s1 = 9629577, s2 = 7444978, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9629577, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7771947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7430729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5972046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5913090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7423262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7444551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7444551, s2 = 11466282, int(edited[s2]) = 0 s1 = 7444551, s2 = 11466282, d1 = 52, d2 = 0 Dl.O(d1) = 266718862 Dl.O(d2) = 199723496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7444551, s2 = 11466282, dlinesl.size( ) = 44 s1 = 7438728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5914581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5914662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5882205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5882205, s2 = 11615499, int(edited[s2]) = 0 s1 = 5882205, s2 = 11615499, d1 = 1, d2 = 1 Dl.O(d1) = 153377236,153377237,165181477,263528593,200767881,206760224,264749163,215756208,219102369,221927894,224353485,226459225,228293064,229902916,266112705,266327577,235785993,236660127,274831079,241003294,241448674,267085833,242596190,242924879,243231052,243517320,243783202,243517324,243231057,242924882,242596192,242243160,242243161,242596190,267190627,242600182,267086387,241453982,241009044,240528079,240009949,239451246,238846703,238188860,266590675 Dl.O(d2) = 153377236,153377237,165181477,263528593,200767881,206760224,264749163,215756208,219102369,221927894,224353485,226459225,228293064,229902916,266112705,266327577,235785993,236660127,274831079,241003294,241448674,267085833,242596190,242924879,243231052,243517320,243783202,243517324,243231057,242924882,242596192,242243160,242243161,242596190,267190627,242600182,267086387,241453982,241009044,240528079,240009949,239451246,238846703,238188860,266590675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5882205, s2 = 11615499, dlinesl.size( ) = 2 s1 = 5882205, s2 = 11615499, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5882205, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 5916027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10337541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10337541, s2 = 11049757, int(edited[s2]) = 0 s1 = 10337541, s2 = 11049757, d1 = 51, d2 = 136 Dl.O(d1) = 215840045 Dl.O(d2) = 26252124,34116718,43203833,53716173,59044328,71786307,254914774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10337541, s2 = 11049757, dlinesl.size( ) = 92 s1 = 10287932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13920773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7411302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7411302, s2 = 5661114, int(edited[s2]) = 0 s1 = 7411302, s2 = 5661114, d1 = 28, d2 = 37 Dl.O(d1) = 266381638 Dl.O(d2) = 237297065,237297068,238037816,238711453,239329496,239329497,238711436,238711434,238037845,237297087,236482611,236482610,236482593,236482595,237297066,238037814,238711451,238711440,266648651,236482590,274743871,238037804,238711437,239329502,238711446,238711447,238711436,238711434,238037845,237297087,236482611,236482610,236482593,236482595,237297066,238037813,266573959,236482604,237297079,238037834,238711461,238711457,238037819,238037818,238711456,238711446,238711447,238711436,238711434,238037845,237297087,236482611,236482610,236482593,235589660,234609507,233533494,232349874,231041242,229583102,227942037,226073882,223928781,223928782,223928780,265152333,274080237,205847734,263823595,183905191,174236746,273082939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7411302, s2 = 5661114, dlinesl.size( ) = 16 s1 = 5917403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7453209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5885138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9627495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8900852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8900852, s2 = 129626, int(edited[s2]) = 0 s1 = 8900852, s2 = 129626, d1 = 32, d2 = 5 Dl.O(d1) = 236726603,236726604 Dl.O(d2) = 2890404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8900852, s2 = 129626, dlinesl.size( ) = 2 s1 = 8900852, s2 = 129626, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8900852, Dl.E( ) = 36, 1.91e-05 seconds used appending s1 = 5918502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8982710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7398596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7398596, s2 = 5001239, int(edited[s2]) = 0 s1 = 7398596, s2 = 5001239, d1 = 17, d2 = 2 Dl.O(d1) = 266246088 Dl.O(d2) = 207159769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7398596, s2 = 5001239, dlinesl.size( ) = 20 s1 = 8940966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7446904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446904, s2 = 7364722, int(edited[s2]) = 0 s1 = 7446904, s2 = 7364722, d1 = 33, d2 = 22 Dl.O(d1) = 266741307 Dl.O(d2) = 265879455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446904, s2 = 7364722, dlinesl.size( ) = 36 s1 = 14150333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150333, s2 = 14351836, int(edited[s2]) = 0 s1 = 14150333, s2 = 14351836, d1 = 72, d2 = 34 Dl.O(d1) = 264535761,274202405,274562523,233950671,234990523,235936961,235936960,236799539,236799544,266603245 Dl.O(d2) = 244472172,244259349,244259350,244472175,244670961,244856292,244856293,244670947,244670949,267384905,245030934,244856327,244670966,244472180,244259355,244030223,267323119,244670968,244856330,245030908,244856296,244670947,244670949,267384905,245030934,245030937,245194525,267420637,245030957,267403115,245348032,245348017,245348018,267403113,244856335,244670970,244670969,244856332,245030909,244856300,244670950,244472164,244472165,267300147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150333, s2 = 14351836, dlinesl.size( ) = 28 s1 = 7364721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7478819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7478819, s2 = 5889856, int(edited[s2]) = 0 s1 = 7478819, s2 = 5889856, d1 = 48, d2 = 3 Dl.O(d1) = 267053889,239567256,238973591,274777313,266679465,237618870 Dl.O(d2) = 236838873,266679471 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9051310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9051310, s2 = 8958823, int(edited[s2]) = 0 s1 = 9051310, s2 = 8958823, d1 = 40, d2 = 37 Dl.O(d1) = 265976094 Dl.O(d2) = 240507985,239988661,274722742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9051310, s2 = 8958823, dlinesl.size( ) = 70 s1 = 13895133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13895133, s2 = 7179548, int(edited[s2]) = 0 s1 = 13895133, s2 = 7179548, d1 = 73, d2 = 78 Dl.O(d1) = 236006108,235064661,234029627,232893892,232893891,234029634,235064675,236006122,236862052,237640026,266610532,266447358,237142253,237897625,238583715,238990129,238346589,237640014,237640015,238346591,237640017,237640013,237640012,238346588,266809125,238346586,266609219,236006107,235064661,234029627,232893888,232893889,234029629,235064670,266609221,237640018,266531439,235064663,234029623,234029624,235064665,236006110,266681505,238990125,274804490,236862036,236006107,235064661,234029627,232893888,232893889,234029630,235064672,236006118,266609223,238346599 Dl.O(d2) = 189801611,264630415,189801610,263637206,175313161,164547946,152708735,140012389,126657432,112798772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13895133, s2 = 7179548, dlinesl.size( ) = 54 s1 = 8893637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5923994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5924168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8885785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13872045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13919147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5924578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5892037, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10360601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360601, s2 = 7444715, int(edited[s2]) = 0 s1 = 10360601, s2 = 7444715, d1 = 7, d2 = 9 Dl.O(d1) = 265834389 Dl.O(d2) = 266720467,274604432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360601, s2 = 7444715, dlinesl.size( ) = 14 s1 = 5893418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7418208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5858575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5582222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7776427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7776427, s2 = 7110961, int(edited[s2]) = 0 s1 = 7776427, s2 = 7110961, d1 = 23, d2 = 15 Dl.O(d1) = 274783784,237813742,238407289,237705193,236932906 Dl.O(d2) = 237051267,237051268,237705169,266550980,237477298,266627080,266550966,236932877,236932884,236084967,235153068,234128933,234128934,235153070,266376074,237705165,236932879,236084963,235153055,234128921,233003439,231759258,230374381,228815352,265635014,231759260,233003437,231759280,230374395,228815361,227045820,227045819,228815359,274488458,266425161,233803816,233803815,234854449,234128955,233003472,233003473,233003471,233003470,234128953,235153058,234128925,234128926,235153061,266376068,236932887,236932886,237705171,266550982,237813749,237051267,237051268,237705169,266550980,237477298,266627080,266550966,236932877,266550964,238407278,237705195,236932913,236084985,236084986,266467344,238407290,238407293,266467346,235153085,234128948,233003468,233003469,234128951,235153089,234854438,233803806,232648876,232648877,231370666,231370667,266051970,231759270,232648875,231370657,231370656,229944370,228336950,226505480,224403214,224403215,226505482,265862089,231370665,266118020,233003476,233003475,233003471,233003470,234128953,234128928,233003443,231759263,230374384,228815353,228815354,230374385,231759266,233003445,233803804,265996324,228336950,226505480,265717453,229944367,229944370,228336950,226505480,224403214,224403215,265717455,265993843,232648872,231370654,231370655,231370670,229944376,228336954,226505484,224403216,264990486,193780079,262713316,127535940,113664346,99650572,85701957,72116238,59384255,47994871,47994872,38095965,38095964,43138894,35369315,35369316,44793878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7776427, s2 = 7110961, dlinesl.size( ) = 14 s1 = 5956935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7441760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5957789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6098549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8931860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9054505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13893017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14208233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8932023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7410307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5898308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5898308, s2 = 9298226, int(edited[s2]) = 0 s1 = 5898308, s2 = 9298226, d1 = 124, d2 = 294 Dl.O(d1) = 237043908 Dl.O(d2) = 236515930,235627997 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5898502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8932540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8932540, s2 = 16075504, int(edited[s2]) = 0 s1 = 8932540, s2 = 16075504, d1 = 94, d2 = 151 Dl.O(d1) = 238518433,238518434,237826474 Dl.O(d2) = 49226977,256476101,23286980,17027929,268243431 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8926513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5900493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7420229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7420229, s2 = 6248598, int(edited[s2]) = 0 s1 = 7420229, s2 = 6248598, d1 = 30, d2 = 45 Dl.O(d1) = 266473533 Dl.O(d2) = 244955738,244776160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7420229, s2 = 6248598, dlinesl.size( ) = 46 s1 = 7392560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7767625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7767625, s2 = 6087323, int(edited[s2]) = 0 s1 = 7767625, s2 = 6087323, d1 = 21, d2 = 19 Dl.O(d1) = 274651751 Dl.O(d2) = 241371983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7767625, s2 = 6087323, dlinesl.size( ) = 2 s1 = 7767625, s2 = 6087323, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7767625, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 5934027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13868275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7428937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7428937, s2 = 740052, int(edited[s2]) = 0 s1 = 7428937, s2 = 740052, d1 = 24, d2 = 49 Dl.O(d1) = 266561560 Dl.O(d2) = 6126824,6097886,6097887,6291841,9426746,6176846,6176844,9426763,9354974,9354972,6279968,6279969,6257788,6257783,9538753,13900026,19319600,19319599,15225053,15225052,21187426,21617527,15587532,15587531,21617526,28138985,36612605,41944018,41944019,44837286,44837287,44826866,36447833,30422585,30422582,36446834,27987731,27986010,20821186,20821187,268140172,46298926,37041925,37041926,46919867,37041935,37041934,46919883,49034774,39105206,30508496,23093442,23093441,30508492,39105202,49034768,50485026,47377897,47377898,52847483,42443121,33449962,33449964,28857619,21584474,15559968,15559966,21584469,28857608,37117081,28607395,21372885,15392066,15392064,21372877,27203249,20275755,14547748,10009859,6578855,6578854,10009852,14547731,20061260,15559956,15559957,21584451,28857574,28542973,21319636,15349069,10603259,6995944,4396593,4396592,6995942,10603256,8213433,8213434,254694580,8213076,8213077,10761392,7363277,7363276,11103248,15994385,22105351,22027813,22027811,29358231,37924555,38215336,29648816,29648815,23618518,23618517,31103238,37396337,37396336,39782884,31104507,31104509,36937524,37395535,28854862,21582254,15558346,10761521,10761522,15558353,21582266,21213082,15245505,10517409,6935962,6935965,10517419,15245530,21213123,15559827,15558373,15558374,21582289,18571543,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,10761927,15559001,21583197,28856070,23313125,17050368,17050371,23313136,21582852,15558780,10761792,10761793,15558786,21582871,28855583,31100727,23616693,17303380,17303378,15994191,15994190,22105051,29438065,28855523,28855522,37396310,47305781,47917124,55700721,55700722,47917128,38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438256,36937715,46816058,38350740,29778495,22413719,22413718,256407875,48261607,47916704,47916703,257632235,257023454,23616660,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,254820890,49799770,255529840,49336651,39407279,30802670,23375005,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,21077842,21077843,28283101,33202702,33202700,33208235,25460467,18860450,13437678,13437679,13437503,9187091,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746344,1307287,2252507,3760167,6012167,9185956,13435745,18857551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7428937, s2 = 740052, dlinesl.size( ) = 18 s1 = 5902820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5902820, s2 = 11135458, int(edited[s2]) = 0 s1 = 5902820, s2 = 11135458, d1 = 31, d2 = 73 Dl.O(d1) = 237150571 Dl.O(d2) = 43933564,54676129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5902820, s2 = 11135458, dlinesl.size( ) = 18 s1 = 8944159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7381724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5904092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10279363, s2 = 5793563, int(edited[s2]) = 0 s1 = 10279363, s2 = 5793563, d1 = 20, d2 = 43 Dl.O(d1) = 53876019,262549941,182891094,273667905,264670895,265323067,265947643,232190377,233387755,234474336,235463037,236365489,237189886,266680832,237189882,236365486,235463035,234474333,233387754 Dl.O(d2) = 238340870,266680830,237189878,236365484,236365485,237189880,274702058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 7421179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7412495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5937529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9666518, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13874753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8939804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8939804, s2 = 7424931, int(edited[s2]) = 0 s1 = 8939804, s2 = 7424931, d1 = 32, d2 = 34 Dl.O(d1) = 266485719,237230175 Dl.O(d2) = 238268746,238268747,237552999,266521375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8939804, s2 = 7424931, dlinesl.size( ) = 24 s1 = 5967142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14186451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7450630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5907053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5907053, s2 = 8976596, int(edited[s2]) = 0 s1 = 5907053, s2 = 8976596, d1 = 65, d2 = 73 Dl.O(d1) = 237257538,238002134 Dl.O(d2) = 274940184,243055579,267143970,242738839,242738840,242738841,243055575,243352852,243631253,243631248,243352845,243055569,242738835,267070058,242031587,242398421,242031596,242031597,242398428,242738844,267143974,242398437,242398436,242398433,242031599,241633697,241203212,240738375,240236830,239695257,239109933,238472709,237776136,237009255,236170028,235249400,274652298,233125691,231895456,230529323,228994456,227255166,225263874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5907053, s2 = 8976596, dlinesl.size( ) = 2 s1 = 5907053, s2 = 8976596, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5907053, Dl.E( ) = 74, 3.79e-05 seconds used appending s1 = 9632146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9727826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10338457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5940049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10282093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8919696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361605, s2 = 7708197, int(edited[s2]) = 0 s1 = 10361605, s2 = 7708197, d1 = 35, d2 = 33 Dl.O(d1) = 239368177,239345083,266654006 Dl.O(d2) = 265973574,274337182,265352364,273971544,192991318,192991319,192563463,273318695,97953258,84079308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361605, s2 = 7708197, dlinesl.size( ) = 8 s1 = 13883079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7389613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7422660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7422660, s2 = 8953204, int(edited[s2]) = 0 s1 = 7422660, s2 = 8953204, d1 = 21, d2 = 23 Dl.O(d1) = 266497471 Dl.O(d2) = 274828571,239357868,239924758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7422660, s2 = 8953204, dlinesl.size( ) = 2 s1 = 7422660, s2 = 8953204, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7422660, Dl.E( ) = 28, 1.12e-05 seconds used appending s1 = 7422666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7422666, s2 = 7607037, int(edited[s2]) = 0 s1 = 7422666, s2 = 7607037, d1 = 91, d2 = 64 Dl.O(d1) = 266497503,237333248,238071067,238741930,239357969,239924845,240449113,267039201,241385948,241803516,267117841,241809446,241392563,240942521,240456357,239932318 Dl.O(d2) = 269174241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7422666, s2 = 7607037, dlinesl.size( ) = 2 s1 = 7422666, s2 = 7607037, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7422666, Dl.E( ) = 92, 4.98e-05 seconds used appending s1 = 5942124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5942211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5942211, s2 = 8834103, int(edited[s2]) = 0 s1 = 5942211, s2 = 8834103, d1 = 11, d2 = 6 Dl.O(d1) = 238078655,237342203,236532963,235646878,234674331,233608255,232436499,231140669,229695302,265531434,224077724,221619105,218756113,215365399,211261788,206239384,206239381,206239382,211261785,211261804,215365414,218756130,218756107,218756108,218756106,215365394,211261803,206239394,200165635,200165636,206239396,264454012,206239388,200165632,192972404,184587409,174985394,164168404,262148626,184587407,192972398,184587406,184587407,192972400,200165625,206239377,211261779,215365391,218756103,215365388,211261775,206239375,264164008 Dl.O(d2) = 215365401,211261791,206239385,206239386,211261793,215365404,215365414,218756130,218756107,218756108,218756106,218756102,215365388,215365387,218756101,274084816,215365398,218756112,221619103,224077722,274399892,224077725,221619112,221619113,221619114,221619115,218756128,218756115,218756109,218756110,221619100,221619111,218756123,218756122,221619110,264949858,215365409,215365407,211261797,206239389,206239390,206239392,200165634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5942211, s2 = 8834103, dlinesl.size( ) = 2 s1 = 5942211, s2 = 8834103, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5942211, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 7425843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5943067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5943067, s2 = 5344867, int(edited[s2]) = 0 s1 = 5943067, s2 = 5344867, d1 = 3, d2 = 0 Dl.O(d1) = 238106574 Dl.O(d2) = 221569199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5943067, s2 = 5344867, dlinesl.size( ) = 2 s1 = 5943067, s2 = 5344867, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5943067, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 5803115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5943506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13905337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13887433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13918555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5945254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5945254, s2 = 11997965, int(edited[s2]) = 0 s1 = 5945254, s2 = 11997965, d1 = 0, d2 = 0 Dl.O(d1) = 238154309,237428163,236628228,235750431,234785568,234785566,233726806,233726805,234785565,233726807,232562945,265885340,228220530,265416572,221824209 Dl.O(d2) = 238154309,237428163,236628228,235750431,234785568,234785566,233726806,233726805,234785565,233726807,232562945,265885340,228220530,265416572,221824209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5945254, s2 = 11997965, dlinesl.size( ) = 2 s1 = 5945254, s2 = 11997965, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5945254, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 7398313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7398313, s2 = 9727691, int(edited[s2]) = 0 s1 = 7398313, s2 = 9727691, d1 = 13, d2 = 18 Dl.O(d1) = 266242884 Dl.O(d2) = 266683956,266683954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 5945484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5945484, s2 = 7565284, int(edited[s2]) = 0 s1 = 5945484, s2 = 7565284, d1 = 19, d2 = 47 Dl.O(d1) = 238158452 Dl.O(d2) = 256895400,37601348,268076552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5945484, s2 = 7565284, dlinesl.size( ) = 16 s1 = 5914385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10286990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7375744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5946736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5946736, s2 = 2039751, int(edited[s2]) = 0 s1 = 5946736, s2 = 2039751, d1 = 4, d2 = 0 Dl.O(d1) = 238183276 Dl.O(d2) = 53083989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5946736, s2 = 2039751, dlinesl.size( ) = 2 s1 = 5946736, s2 = 2039751, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5946736, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 5882650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5916415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5917020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5917020, s2 = 7681458, int(edited[s2]) = 0 s1 = 5917020, s2 = 7681458, d1 = 6, d2 = 45 Dl.O(d1) = 237488091 Dl.O(d2) = 212258233,207406718,273782424,272363750,260250810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5917020, s2 = 7681458, dlinesl.size( ) = 54 s1 = 7484054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10284922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13917147, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5948586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9614385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9614385, s2 = 14166255, int(edited[s2]) = 0 s1 = 9614385, s2 = 14166255, d1 = 20, d2 = 18 Dl.O(d1) = 274770187,240958636,241407702,241823434,242207262,242562114,267186919,242635383,242286100,241909065,241500677,241060045,240585059,240073175,239520791,266740323,237556187,236768019,235902786,234953899,233911507,232767695,231502585,230091123,228500364,226690065,224612645,222220435,219433725,216134709,212152476,207277993,201366694,263929507,186140502,176729269,166092742,154343760,141691680,260641945,100440751,260041699,60152275,259344092,22859358,16633313,16633314,22859359,30254486,38838264,48758123,48758122,60152277,72888447,86483630,100440752,114465146,128342116,141691681,154343761,166092743,176729274,186140507,263929509,207278003,264780965,219433756,222220460,224612660,265733925,228500373,230091129,231502586,232767697,233911508 Dl.O(d2) = 207502622,201630670,194653151,186505832,263362158,166584457,154884190,261458934,261458932,100942550,259982652,72042278,72042279,85630007,99579935,260580997,116795702,102702939,88693630,75042772,62219729,59079504,47679459,37757228,37757227,42809602,33777148,33777150,42809604,48611712,38696123,33777132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9614385, s2 = 14166255, dlinesl.size( ) = 2 s1 = 9614385, s2 = 14166255, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9614385, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 5920511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5920511, s2 = 13257224, int(edited[s2]) = 0 s1 = 5920511, s2 = 13257224, d1 = 15, d2 = 35 Dl.O(d1) = 237565267 Dl.O(d2) = 4485602,5633258,8659758,12742802,16732496,11689858,11689859,16732500,22771372,25301388,24677972,18212910,18212369,18212366,15598723,15598728,20984336,24677650,24677651,20979888,15068040,15068041,16517103,14606709,10289401,10289399,13285436,9068669,9068673,13285467,10263016,10263015,7108986,4475883,4475885,6738714,4970851,4231364,4231362,6752699,10275216,14939915,11782663,11782664,254713008,13462550,9206341,7125236,4486061,2695272,1562141,1562142,2696684,4488782,7130254,10792342,15600598,14607234,10391850,10391847,10377814,6838254,4290552,4290551,4487057,7127083,10786880,15592845,21623370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5920511, s2 = 13257224, dlinesl.size( ) = 44 s1 = 9727690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9727690, s2 = 7398314, int(edited[s2]) = 0 s1 = 9727690, s2 = 7398314, d1 = 16, d2 = 13 Dl.O(d1) = 266683955,266683957 Dl.O(d2) = 266242885 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13904681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7397318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5954075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5924090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359020, s2 = 14355727, int(edited[s2]) = 0 s1 = 10359020, s2 = 14355727, d1 = 82, d2 = 76 Dl.O(d1) = 274271251,219777707,274359605,237651813 Dl.O(d2) = 266222875,274595112,265856244,224323796,221894614,265187982,264487168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359020, s2 = 14355727, dlinesl.size( ) = 58 s1 = 9296936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7447754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7749682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7749682, s2 = 7441307, int(edited[s2]) = 0 s1 = 7749682, s2 = 7441307, d1 = 75, d2 = 130 Dl.O(d1) = 274346847,231395931,232672233,233825401,234874488,235830234,236700431,237493332,266734617,239470548,238868131,238212628,238212629,238868133,274831847,274937026,266813138,266536886,232970356,266536885 Dl.O(d2) = 266686258,232970356,266029704,228768827,265605806,216649038,212747374,264292756,178009978,262354356,74490920,61708149,50227175,50227174,50227175,256030208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7749682, s2 = 7441307, dlinesl.size( ) = 112 s1 = 7771071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7771071, s2 = 7971525, int(edited[s2]) = 0 s1 = 7771071, s2 = 7971525, d1 = 31, d2 = 45 Dl.O(d1) = 274704685,235136959,266752345 Dl.O(d2) = 10930265,15778958,21848851,254513356,254230564,37718052,254098832,15772244,21841880,29150063,28653597,254230562,10631357,7017667,4412813,2646174,2465244,1425090,877374,865846,491041,275767,152357 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 5926382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8937234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8937234, s2 = 11596764, int(edited[s2]) = 0 s1 = 8937234, s2 = 11596764, d1 = 38, d2 = 21 Dl.O(d1) = 238404269,274836709,237702219,237702220 Dl.O(d2) = 240179072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8937234, s2 = 11596764, dlinesl.size( ) = 36 s1 = 5926482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5926482, s2 = 15248586, int(edited[s2]) = 0 s1 = 5926482, s2 = 15248586, d1 = 0, d2 = 3 Dl.O(d1) = 237703607 Dl.O(d2) = 238049144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5926482, s2 = 15248586, dlinesl.size( ) = 2 s1 = 5926482, s2 = 15248586, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5926482, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 9642258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9642258, s2 = 5927344, int(edited[s2]) = 0 s1 = 9642258, s2 = 5927344, d1 = 10, d2 = 0 Dl.O(d1) = 267059887,241169151,240702696,240199282,266872647,239066840 Dl.O(d2) = 237725904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9642258, s2 = 5927344, dlinesl.size( ) = 2 s1 = 9642258, s2 = 5927344, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9642258, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 5927443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7429337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7429337, s2 = 2653571, int(edited[s2]) = 0 s1 = 7429337, s2 = 2653571, d1 = 21, d2 = 22 Dl.O(d1) = 240207486,239663803,266565890 Dl.O(d2) = 89301667,103391253,117516138,131312015,271639272,143706713,130380920,260552604,88444684,74812403,62016028,50524235,40488584,40488583,50524234,62016026,74812401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7429337, s2 = 2653571, dlinesl.size( ) = 2 s1 = 7429337, s2 = 2653571, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7429337, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 5927896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8896750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5928524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5928524, s2 = 6205086, int(edited[s2]) = 0 s1 = 5928524, s2 = 6205086, d1 = 19, d2 = 13 Dl.O(d1) = 237751305,238450395,239088831,239675549 Dl.O(d2) = 243042144,243042146,243042145,243339287,243339286,243617576,243339288,243339285,243339284,243617575,243876533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5928524, s2 = 6205086, dlinesl.size( ) = 2 s1 = 5928524, s2 = 6205086, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5928524, Dl.E( ) = 20, 2.5e-05 seconds used appending s1 = 5958637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7410264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5929932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5929932, s2 = 6164727, int(edited[s2]) = 0 s1 = 5929932, s2 = 6164727, d1 = 9, d2 = 4 Dl.O(d1) = 237786217,238481839,266821839,240245146,240746282,267022421,241640000,267103211,242402661,242742509,243058704 Dl.O(d2) = 243023927,242704245,242361457,241992628,241992627,241992626,267134917,267099070,241592940,266972430,240693911,241160690,241160693,240693912,240189896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5929932, s2 = 6164727, dlinesl.size( ) = 2 s1 = 5929932, s2 = 6164727, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5929932, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 5929958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7427554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5930616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5930616, s2 = 9629154, int(edited[s2]) = 0 s1 = 5930616, s2 = 9629154, d1 = 39, d2 = 98 Dl.O(d1) = 237804035 Dl.O(d2) = 238078479,266578837,234674009,233607909 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7427007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7427007, s2 = 15054872, int(edited[s2]) = 0 s1 = 7427007, s2 = 15054872, d1 = 4, d2 = 7 Dl.O(d1) = 266543188 Dl.O(d2) = 274760629,235290392,234285200,233180581,231958958,265618232,229078365,227351845,225377037,223103866,220470775,217372659,213654288,209121126,203597191,196987075,189247655,180305598,170139411,261357674,146414266,259575410,119349991,105151718,90965239,77079587,63963105,268272052,32899606,28240546,28240545,32686099,31975067,24421581,21515746,15505133,10722925,10722928,15505145,21515762,26222426,19508216,15113612,10424775,6873145,6873125,6873124,10424705,15113478,12883405,269443758,270973157,259582814,258323020,105151716,119349989,126818993,112965140,98975994,270299783,58750688,47364663,37459178,28919738,28919352,28919353,37458600,37458460,28919245,28919244,37108589,38258946,29693304,22340233,16192083,16192084,22340240,29693318,38258963,48168540,53332626,59555283,49438638,39507722,30900177,23466444,23466445,30900178,30302158,22903252,255121783,255096356,267767475,549031,549030,975154,1716173,2959631,4910096,7752795,11376438,7558024,4779233,4779231,4779241,4779238,7558033,11373279,7556884,4778492,4778490,4778529,4778532,7556932,4990186,4990188,7862117,7556570,4778306,4778307,7556575,9927735,8205189,5276495,5276493,8205182,12172879,11026812,7301039,4605467,2771668,2771666,4605459,7301026,11026793,15905348,22006279,16341823,16341824,17514081,15546510,15546511,21568786,22500494,16326276,11358347,11010908,8191608,8191607,7288981,7288980,11010756,15151664,15151660,21093776,22007814,22007816,22502355,22502357,22522124,29878716,29307703,22527546,22527547,20188789,16354202,16354205,17322107,12197262,12197261,16339691,11368852,11368856,14431460,9927043,9927047,14430805,14435608,14435609,14434076,9928908,9928906,14430658,9926463,7553040,7553038,11369000,15883881,12170787,12170791,12193752,8224137,8224135,9966022,9966025,6549985,6549987,8241894,7552477,4776089,4776087,7552468,11368026,11368152,11360251,11360208,11360209,11360227,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,5272512,5272511,8201553,8226131,5296666,5296665,8066755,5160500,267903347,12009610,17096359,22394085,16234040,16234041,12188612,8218979,8218978,8209755,5280549,3233829,1896835,1896836,3233833,5280558,8209770,12178161,16320261,16320262,22493777,16346928,16346927,22389243,22389242,16230811,11283408,11283407,16230809,17320674,23636360,31122348,38428412,38428411,38919234,38876188,30290303,22892016,16662466,11629119,11629120,16662467,22892019,30290310,38423081,29856864,22492469,22492470,29853448,22488035,16315297,16315299,22485063,29850254,22494471,16320834,11354713,7544284,7544285,11354718,16320841,22494479,23588404,23588411,22482422,16310936,16310935,22482417,16310993,11351204,7542383,4770738,2875877,1669371,1669372,2875883,4770749,7542403,11351238,11351458,11351460,16315724,11353689,11351219,11351220,14935595,10271783,6750199,6750200,7538714,4768946,4768945,7538710,11344331,16304421,16319111,11353595,11353594,16004887,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,10586729,15327882,21294383,28515627,28517152,21296050,21296055,21297301,15329972,10587933,10587931,11544647,16562149,16311998,16311999,16350775,15918216,15918218,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295661,15328780,15328779,21295659,28516741,37015842,255068548,22917801,17274778,17274779,16304603,14421208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7427007, s2 = 15054872, dlinesl.size( ) = 2 s1 = 7427007, s2 = 15054872, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7427007, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9305094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9305094, s2 = 5961654, int(edited[s2]) = 0 s1 = 9305094, s2 = 5961654, d1 = 0, d2 = 6 Dl.O(d1) = 225470217 Dl.O(d2) = 238523661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9305094, s2 = 5961654, dlinesl.size( ) = 2 s1 = 9305094, s2 = 5961654, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9305094, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7771415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8798481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9674167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5990018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5990818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5963661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7328704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8897274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8897274, s2 = 7787571, int(edited[s2]) = 0 s1 = 8897274, s2 = 7787571, d1 = 50, d2 = 46 Dl.O(d1) = 266060630,237921571 Dl.O(d2) = 274931746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8897274, s2 = 7787571, dlinesl.size( ) = 54 s1 = 14166264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5936609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5936609, s2 = 12844472, int(edited[s2]) = 0 s1 = 5936609, s2 = 12844472, d1 = 29, d2 = 16 Dl.O(d1) = 237948487,238631926,239257505,239832640 Dl.O(d2) = 255657809,13369780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5936609, s2 = 12844472, dlinesl.size( ) = 2 s1 = 5936609, s2 = 12844472, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5936609, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 8921087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5938461, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7394108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5939577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5957732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13914837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9622223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8945890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5969878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5969878, s2 = 2787739, int(edited[s2]) = 0 s1 = 5969878, s2 = 2787739, d1 = 65, d2 = 29 Dl.O(d1) = 238722398,238049585,237309440,236495742,235604259,234625887,233551935 Dl.O(d2) = 70405528,70405530,57711474,46362201,46362202,258000615,83931799,97790892,111713692,261050711,138854158,151556948,163439823,174287973,172423141,161214577,148899518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5969878, s2 = 2787739, dlinesl.size( ) = 20 s1 = 7483800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7483800, s2 = 5608674, int(edited[s2]) = 0 s1 = 7483800, s2 = 5608674, d1 = 99, d2 = 3 Dl.O(d1) = 267102988 Dl.O(d2) = 229615454,265919296,226115516,265462116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7483800, s2 = 5608674, dlinesl.size( ) = 70 s1 = 8928329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5942271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7430698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7430743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8936995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7457450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7444779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7444779, s2 = 12963357, int(edited[s2]) = 0 s1 = 7444779, s2 = 12963357, d1 = 104, d2 = 97 Dl.O(d1) = 266720968 Dl.O(d2) = 263822827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7444779, s2 = 12963357, dlinesl.size( ) = 2 s1 = 7444779, s2 = 12963357, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7444779, Dl.E( ) = 144, 3.39e-05 seconds used appending s1 = 13985047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13985047, s2 = 13875892, int(edited[s2]) = 0 s1 = 13985047, s2 = 13875892, d1 = 2, d2 = 8 Dl.O(d1) = 240958044,266725422,239950777,240473083,240473090,240473091,266788402,239950772 Dl.O(d2) = 239387382,238776657,266582472,266656732,266788404,239950782,239387390,266502462,237381771,236578066,235695857,265978236,229753355 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5943316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13852035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5944771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5944771, s2 = 11369802, int(edited[s2]) = 0 s1 = 5944771, s2 = 11369802, d1 = 8, d2 = 0 Dl.O(d1) = 238138206 Dl.O(d2) = 228327151,265801624,265487986,265108042,273641030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5944771, s2 = 11369802, dlinesl.size( ) = 52 s1 = 8919515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8935369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8935369, s2 = 5974914, int(edited[s2]) = 0 s1 = 8935369, s2 = 5974914, d1 = 127, d2 = 97 Dl.O(d1) = 237450989,236653310,235778440,274664631,232602574,231319467,229888308,229888309,231319469,232602577,233762022,274664627,235778431,236653305,266662899,238834137,238834171,238175085,266731001,236653326,236653327,237451010,238175080,238175081,266793647,238175076,266793645,239999360,240518252,240999878,266955417,239439800,238834143,238834144,239439801,239999347,239439828,239439798,238834168,266793647,238175076,238834142,238175044,237450985,236653306,266662903,238834140,238175095,238175094,274923486 Dl.O(d2) = 237450973,237450974,266730995,266793635,238834122,239439779,239439781,238834124,238834123,238834125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8935369, s2 = 5974914, dlinesl.size( ) = 42 s1 = 14166250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166250, s2 = 14148532, int(edited[s2]) = 0 s1 = 14166250, s2 = 14148532, d1 = 1, d2 = 7 Dl.O(d1) = 119981982 Dl.O(d2) = 238177516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166250, s2 = 14148532, dlinesl.size( ) = 2 s1 = 14166250, s2 = 14148532, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14166250, Dl.E( ) = 18, 1.12e-05 seconds used appending s1 = 5975256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5975256, s2 = 5358086, int(edited[s2]) = 0 s1 = 5975256, s2 = 5358086, d1 = 25, d2 = 12 Dl.O(d1) = 238840488,238182007,237458475,236661638,236661639,274594520,238182004,237458471,274554874 Dl.O(d2) = 265853672,265550450,232617521,231337470,231337468,264741050,226465657,264741052,231337468,264741050,226465657,224359802,221934483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5975256, s2 = 5358086, dlinesl.size( ) = 12 s1 = 9300149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9423699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5916552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16334517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7434823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7416513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6003461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6003461, s2 = 7286897, int(edited[s2]) = 0 s1 = 6003461, s2 = 7286897, d1 = 16, d2 = 19 Dl.O(d1) = 239479738,238878664 Dl.O(d2) = 224480930,222071198,264995136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6003461, s2 = 7286897, dlinesl.size( ) = 12 s1 = 8941265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10277063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5977764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5978059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301791, s2 = 10277062, int(edited[s2]) = 0 s1 = 14301791, s2 = 10277062, d1 = 5, d2 = 6 Dl.O(d1) = 267125732,241897667,241487800,241045915,266910040,239503200,238903578,238250617,237533201,236742917,235875444,234923578,233878335,232731149,231462101,231462099,232731147,232731151,232731142,232731143,232731145,232731144 Dl.O(d2) = 231462100,232731148,233878334,234923576,234923579,274634206,266233234,232731148,232731153,231462104,230045647,230045646,231462102,232731151,232731142,232731143,232731145,232731144,232731150,231462101,231462100,232731148,233878334,234923576,274634208,231462105,230045647,230045646,231462103,266233234,232731148,232731153,232731152,232731142,232731143,233878331,266335342,232731150,231462101,230045645,228449040,228449039,226632789,224549358,222151005,219357746,216051912,264511894,201253473,263557308,176578809,165932398,154173402,154173403,165932399,176578811,186001332,194216418,194216410,186001323,273129200,154173405,261190222,114266532,100234427,86269181,72668967,59928859,48535384,38620329,30046546,29036281,29036280,30046499,22671204,22671203,30046498,38620283,30046525,256427039,48535365,59928843,59928841,48535364,48535365,59928842,72668953,86269167,72668963,72668962,72668966,86269180,259394690,86269180,271341554,100234413,114266521,128151068,141509891,151480625,138779237,125450358,111647856,97727207,83868290,70343092,57652507,254222908,27996470,20832259,14933795,14933794,10553394,6960389,4373154,4373153,6960384,10553381,15288007,21252861,254360042,26392116,27001928,20111997,20111998,23672311,29718452,22362314,16209091,11267644,11267645,9921868,9921869,14423415,18678756,13285963,9069150,9069149,13285953,10265859,10265861,6885468,4322265,2585525,2585524,4322259,6885456,10444788,10444787,6885564,6885488,6885487,10444862,15144432,21083686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301791, s2 = 10277062, dlinesl.size( ) = 2 s1 = 14301791, s2 = 10277062, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14301791, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 5950586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5950662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7432733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7432733, s2 = 9298837, int(edited[s2]) = 0 s1 = 7432733, s2 = 9298837, d1 = 52, d2 = 60 Dl.O(d1) = 266599949,238268519 Dl.O(d2) = 266246295,231582680,266020592,224736790,265424296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7432733, s2 = 9298837, dlinesl.size( ) = 50 s1 = 8950588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7459330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8884545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16160001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16160001, s2 = 14147536, int(edited[s2]) = 0 s1 = 16160001, s2 = 14147536, d1 = 35, d2 = 27 Dl.O(d1) = 233121715,233121714 Dl.O(d2) = 238279709,237565838,236779269,235915080,234966895,233924839,232781379,274578800,228515394,226706191,224630551,222240212,219455627,216159206,212180822,207310147,201403552,194385260,186194155,176798956,166179249,154443651,141796594,128443253,260291414,100528253,100528256,109132938,109132936,94867338,80802030,67333698,55005737,44181251,34836505,26790523,26790522,21086085,21086086,27253433,21963667,15869853,15869850,15869849,21959063,21959062,24836707,32477024,41323291,51544630,63261280,258981311,90093148,104225637,118385802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16160001, s2 = 14147536, dlinesl.size( ) = 2 s1 = 16160001, s2 = 14147536, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 16160001, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 9626049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8951367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8951367, s2 = 10279548, int(edited[s2]) = 0 s1 = 8951367, s2 = 10279548, d1 = 47, d2 = 44 Dl.O(d1) = 240591724,240080588,266573784,238282151,237568424,236782301,235918480,234970796,233929283,232786230,231521284,230110352,228520913,226712007,224637024,222247667,219463856,264149088,212190833,212190832,212190835,212190834,216168210,219463857,264701904,226712009,228520915,230110357,265682420,265963574,274727275,233972374,232833047,232833046,265963576 Dl.O(d2) = 226785820,226785821,228585682,230168344,231573422,232833031,266086998,265682422,231521297,230168342,274563327,266201148,233972346,274658258,233972370,232833019,231573414,230168339,230168340,231573417,232833005,231573428,230168347,228585684,228585652,226785797,226785798,226785813,228585674,226785826,224722380,224722379,226785824,228585690,266245485,266135271,232832975,231573378,231573379,230168308,228585654,226785799,226785800,228585655,265963572,228585650,265829342,230168328,228585672,228585671,230168327,231573401,232833001,233972364,233972340,232832975,266201154,266201156,265963586,232786239,231521298,230110371,228520925,226712016,224637026,222247670,219463858,219463857,264701904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8951367, s2 = 10279548, dlinesl.size( ) = 24 s1 = 7418534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7433014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7433014, s2 = 11596246, int(edited[s2]) = 0 s1 = 7433014, s2 = 11596246, d1 = 61, d2 = 42 Dl.O(d1) = 266602693,238292684,238941914,274833963 Dl.O(d2) = 266915376,241519415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7433014, s2 = 11596246, dlinesl.size( ) = 48 s1 = 9627694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7434753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7434753, s2 = 5852747, int(edited[s2]) = 0 s1 = 7434753, s2 = 5852747, d1 = 23, d2 = 27 Dl.O(d1) = 266620661 Dl.O(d2) = 235930693,234983733,233943415,232801872,231539122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7434753, s2 = 5852747, dlinesl.size( ) = 28 s1 = 7447279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10163278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13856239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5954212, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5954339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5954343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5954343, s2 = 6404152, int(edited[s2]) = 0 s1 = 5954343, s2 = 6404152, d1 = 0, d2 = 88 Dl.O(d1) = 238350645 Dl.O(d2) = 247733721,267691097,247766141,275090397,247796785,247803134,247809076,247809096,247803172,247803171,247809095,247814862,267699653,267701017,247847699,247855438,247862984,247870291,247877248,267706207,247893491,267708001,247903874,247906923,275095167,247893493,247888792,247883409,247877250,247870294,247862985,275093113,247833350,247826839,275091717,247814869,267699655,267701019,247826835,247820710,267698297,267696789,247782533,267693225,247756664,267689945,247719985,267688779,247745779,247756668,247766167,247774662,247782535,247790046,247796822,267699657,247814871,267700138,267695105,267695103,247790086,247796854,247796874,247790106,247782599,247774722,247766223,247756728,247745820,247733759,247720006,247703891,247703892,247720009,267689947,267689949,247756700,275089147,247733735,247733734,247745782,247756672,247766172,247774668,247774692,247766198,247756694,247756692,267693229,247782568,247790077,267695119,247774731,247774730,267695951,247803147,247803148,247803177,267696787,267695101,247782500,267695939,247796836,267696795,247790088,275090300,247745806,247733751,247719997,247703880,247703881,275089716,247756708,247766212,247774708,267695109,247782524,247782525,247790030,247796806,247803153,247796826,267696791,247809088,247814868,267698299,267696793,267695107,247774669,247782544,275090691,247803145,247796793,247796794,267697573,247796857,247790093,247782582,275089829,247756734,247745824,267691107,267692197,247745795,247745796,247756689,247766166,267691103,247745776,247756662,247756719,247745816,247733757,247720005,247703889,247685418,267685945,267688783,247745810,247756713,247766216,247774714,247782566,247774688,247774686,247766203,267691105,247733744,247719994,247703877,247685412,247664981,247664980,267685943,247664978,247643512,247621954,247601199,267679759,247643514,247664985,247685416,247703885,267688781,247745807,267692199,267694221,275090876,267693231,267692195,247745786,247745787,247756678,247756679,247766180,267694219,275090399,247774701,247766207,247756704,247756703,247756708,247766212,247774709,275090582,247756660,247745775,247733731,247719984,247703868,247685405,247685406,247703870,247719987,247733734,247745782,247756670,267694215,275090129,247766229,247756731,247745823,247745812,247745811,247756717,267693235,267695113,247796868,247802094,247795716,247788858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5954343, s2 = 6404152, dlinesl.size( ) = 18 s1 = 5982713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5982861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9654740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10280198, s2 = 15786801, int(edited[s2]) = 0 s1 = 10280198, s2 = 15786801, d1 = 156, d2 = 31 Dl.O(d1) = 265897573,231696993,232948299,266356931,266612787 Dl.O(d2) = 221516622,221516621,265226884,221516623,265226884,218636454,215214362,211059851,205976384,199827808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10280198, s2 = 15786801, dlinesl.size( ) = 46 s1 = 8942676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4511208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10285690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7441507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5957083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5927582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5958204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5986314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8925765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8931980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8931980, s2 = 7060691, int(edited[s2]) = 0 s1 = 8931980, s2 = 7060691, d1 = 38, d2 = 11 Dl.O(d1) = 266693661,236149191,236149192,236991119,266758981,238458145 Dl.O(d2) = 262010162 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5986968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5959471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166260, s2 = 5985489, int(edited[s2]) = 0 s1 = 14166260, s2 = 5985489, d1 = 1, d2 = 21 Dl.O(d1) = 41499247 Dl.O(d2) = 239074287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166260, s2 = 5985489, dlinesl.size( ) = 2 s1 = 14166260, s2 = 5985489, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14166260, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 8966698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8904921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5988608, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5988646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5988646, s2 = 7344216, int(edited[s2]) = 0 s1 = 5988646, s2 = 7344216, d1 = 49, d2 = 33 Dl.O(d1) = 239146583,266698760,239146581 Dl.O(d2) = 265651154,264351323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5988646, s2 = 7344216, dlinesl.size( ) = 52 s1 = 10276299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16252773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5989089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5989757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7435720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5962381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5962381, s2 = 7251857, int(edited[s2]) = 0 s1 = 5962381, s2 = 7251857, d1 = 6, d2 = 72 Dl.O(d1) = 238543237 Dl.O(d2) = 264568816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5962381, s2 = 7251857, dlinesl.size( ) = 60 s1 = 5962584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5962584, s2 = 6239069, int(edited[s2]) = 0 s1 = 5962584, s2 = 6239069, d1 = 103, d2 = 104 Dl.O(d1) = 238549548,239181871,239762377,240298058,240795010,241255701,241682044,242075852,242438659,274930063 Dl.O(d2) = 244583361,244583363,267301696,244377528,244155401,244155400,244377526,244583358,244377462,244377463,244377499,244155383,243916688,267250362,267301698,244377489,244377490,244583387,244775446,244955109,245124270,244955098,244775429,244583369,244377472,244155366,243916694,243660387,243660388,243916689,244155385,244377501,244583399,244775461,244775459,267324530,244775470,244583409,267301704,244775477,244775476,267346184,245124269,244955098,244775429,244583369,244377472,244155366,243916680,243660376,243660375,243916673,244155358,267276796,244583420,244377524,244377523,244377514,244155392,243916700,243660392,267125452,242776105,242776106,243089841,243384656,243660397,267222416,244377530,244583425,244775483,244775437,244583380,244377483,244155374,243916683,243660378,243660377,243660381,243660380,243916687,267250358,244583393,244775454,244775422,244583420,244377524,244377523,244377514,244377512,244583411,267276808,244377520,244583366,267250364,244155386,244377502,244583401,267301694,244377487,244377488,267276802,244775467,244955100,267366710,267366712,244955114,244775463,244775451,244583392,244583393,244775454,244775422,244583420,244377524,244377523,244377514,244155392,244155391,267276804,244775469,267346190,245124268,244955128,244955127,244955126,244775479,244775478,244955125,245124279,244955114,244775463,244775451,244583392,244583393,244775454,244775422,244583420,244377524,244377523,244377516,244377515,267301706,244955121,245124279,244955114,244775463,244775451,244583392,244583393,244775454,244775422,244583420,244377524,244377523,244377516,244377515,244583412,244583406,244377505,244155388,243916697,243660389,243384653,243089839,242776104,242439117,266958964,240795636,266735840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5962584, s2 = 6239069, dlinesl.size( ) = 2 s1 = 5962584, s2 = 6239069, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 5962584, Dl.E( ) = 108, 4.6e-05 seconds used appending s1 = 14147535, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5902009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5902009, s2 = 13914262, int(edited[s2]) = 0 s1 = 5902009, s2 = 13914262, d1 = 18, d2 = 56 Dl.O(d1) = 237123041,237878481,238567095 Dl.O(d2) = 240314203,240314216,240314215,240314214,240314213,240314218,240314219,266631598,240314208,240314222,239778854,239198735,238567099,238567097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5902009, s2 = 13914262, dlinesl.size( ) = 62 s1 = 7412122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5991796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5991931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7773424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14806846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7432827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8940260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7436821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5993848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5993848, s2 = 15957766, int(edited[s2]) = 0 s1 = 5993848, s2 = 15957766, d1 = 39, d2 = 30 Dl.O(d1) = 239275967,274858669 Dl.O(d2) = 234513325,265826030,236400488,235499999,234513327,233430542,232238481,232238482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5993848, s2 = 15957766, dlinesl.size( ) = 44 s1 = 9632471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13935805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5939194, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16242379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16242379, s2 = 5995956, int(edited[s2]) = 0 s1 = 16242379, s2 = 5995956, d1 = 5, d2 = 7 Dl.O(d1) = 221399600,223878559,226028358,227903949,229552949,231018031,232331590,233518511,234596563 Dl.O(d2) = 236472349,266305066,238029667,238704249,239323447,239893515,240420490,266781228,241361243,274911627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16242379, s2 = 5995956, dlinesl.size( ) = 2 s1 = 16242379, s2 = 5995956, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 16242379, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 16347915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16347915, s2 = 7437809, int(edited[s2]) = 0 s1 = 16347915, s2 = 7437809, d1 = 22, d2 = 20 Dl.O(d1) = 257411644,84020623,97889819 Dl.O(d2) = 266651910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16347915, s2 = 7437809, dlinesl.size( ) = 30 s1 = 5969924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5996821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10288473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9728110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6087914, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5997746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5971160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5971160, s2 = 11626398, int(edited[s2]) = 0 s1 = 5971160, s2 = 11626398, d1 = 171, d2 = 16 Dl.O(d1) = 238748083,239363613 Dl.O(d2) = 244773029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5971160, s2 = 11626398, dlinesl.size( ) = 30 s1 = 5943149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5943149, s2 = 11618752, int(edited[s2]) = 0 s1 = 5943149, s2 = 11618752, d1 = 1, d2 = 133 Dl.O(d1) = 238109424,238774215 Dl.O(d2) = 243756477,244005365,244236914,244236913,244451201,244650845,244451203,244451204,244650844,244650843,244837060,245012726,245177668,245332346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5943149, s2 = 11618752, dlinesl.size( ) = 94 s1 = 13905685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5972724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6000200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9629354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8955038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8955038, s2 = 11604449, int(edited[s2]) = 0 s1 = 8955038, s2 = 11604449, d1 = 14, d2 = 7 Dl.O(d1) = 241000864,274847485,239441253,239441252 Dl.O(d2) = 240000542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8955038, s2 = 11604449, dlinesl.size( ) = 2 s1 = 8955038, s2 = 11604449, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8955038, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 8922953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7766330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7766330, s2 = 5516729, int(edited[s2]) = 0 s1 = 7766330, s2 = 5516729, d1 = 130, d2 = 156 Dl.O(d1) = 274631731,266663663 Dl.O(d2) = 266744574,231647341,230252569,228683338,226900474,224854257,265417266 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5975228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13690659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6001981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5976590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6003162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6003162, s2 = 1845796, int(edited[s2]) = 0 s1 = 6003162, s2 = 1845796, d1 = 72, d2 = 63 Dl.O(d1) = 239473592,238871634,238871635 Dl.O(d2) = 59466461,48075590,38162749,29596187,22247215,17867234,17867233,14998030,14998027,20902675,19118951,19118952,25757421,33546103,42562399,42314408,33333976,33333975,32212678,24621031,18170037,12886105,12886103,18170030,24621021,32212668,40996744,39158009,30560776,30560775,256452959,22959684,22959685,256153865,19158678,13680678,9368606,9368605,255281715,25805659,31386642,30232769,22840154,16618065,16618064,22840153,30232764,38816004,42562362,33546071,33546070,42562359,53002225,61322864,52701564,44868485,44868486,49839343,49839344,52701561,51080454,40938500,32160191,32160192,35207679,38514021,33334658,33334101,25574552,18965897,13530528,13530527,18965893,25574542,30560726,25574435,25574436,33333929,33603073,25805639,25805638,33603004,42627650,33603035,33603036,42314469,52701610,48736314,48736315,49087712,39158088,33334712,25805649,25805650,30443892,39033230,47541221,47541219,39033263,30443910,30443908,39033254,48955319,42562458,42562459,49087541,39815790,39815788,39815812,49839397,49839394,52702566,42315283,42315284,48421115,52701673,42314514,33334068,25574532,25574531,33334062,42314503,52701645,48946364,48946365,52701827,42314645,42314649,42627708,42627709,46882200,37003389,30434125,23027748,16785406,11736220,11736221,16785413,23027760,30434154,39023678,48946460,58249794,58249793,58249718,46882487,37003561,37003560,46882483,46882512,46882514,58249766,49087719,49087717,46882678,37003676,37003675,46882671,48100365,59488909,59489000,59489001,48100440,48100438,49839330,49839329,60356328,48960537,39039091,39039090,48960534,60356323,59488932,49839320,49839319,52300584,46882171,37003368,28505439,21286514,21286515,23027776,23027778,30434091,30434092,39023573,48946334,46882086,46882087,37003595,28505569,21286576,15322290,15322287,21286566,28505554,37003569,46882504,58249262,58249263,59488997,59488995,59488969,48100408,38188586,32563152,24911404,18406145,18406144,24911403,32563150,41423047,51664967,46882564,46882565,58249831,46882573,46882571,58249841,51665358,51665029,41422975,32563109,24911375,18406130,13073785,8908877,5813664,5813667,8908887,13073806,18406175,24911463,32563260,41423234,51665415,51665394,51665393,63408851,63408755,63408593,51665178,51665177,62470496,70966349,64151954,52299768,41958781,41958782,52299775,64151964,72223566,84529138,84529139,98450934,90282510,76452338,63408354,51664976,41422932,32563086,32563087,41422935,51664983,63408363,76452191,76452190,72833559,60096534,60096533,51664913,41422894,32563055,24911382,18406134,18406135,24911384,32563123,41423006,40365728,40365732,50400981,61891536,74685133,74685132,73095545,73095546,64152353,52300360,51665405,51665407,63408866,70966306,70966307,77300760,73095578,60357126,48961572,48961571,60357121,63408181,59609550,48222706,48222709,59609556,60332556,48934694,48934695,60332559,71907224,59169140,47770342,37847471,37847473,47770347,39163127,38779375,38779374,48701820,60097628,64445285,59609618,48222769,48222770,59609627,53539397,43060109,43060111,53539403,65563923,77613540,73095075,60356176,48960373,48960375,60356181,255899196,61378275,74158726,72344015,59609695,48222829,38312929,38312930,48222832,255899224,257517912,59169481,47770632,47770633,59169484,64151613,52299361,52299362,64151403,64151402,72339157,59604452,59604451,72339155,257517890,77300427,64151487,64151486,52299376,41958370,33015792,33015794,38778958,46917232,48098819,38187355,38187356,48098821,48701439,38779048,30194655,22803977,22803981,30194664,38779067,38779108,37122253,37122255,47008985,47009263,47009264,43969367,43969369,47009016,47009015,48175747,42148138,42148136,37962366,29397997,22067592,22067590,29397993,37962363,47880200,47880182,47880181,59275559,58275275,46910275,37033313,28535358,28535357,37033311,46910270,58275270,64151507,52299253,52299252,48701528,48701531,41958176,41958177,48700135,38777841,38777840,48700133,60096191,58275267,58275268,59604988,60097085,48701234,38778878,257563549,64151417,72011295,72011296,257517950,84659672,71096722,71096723,257581670,71033854,71033855,72339777,85933388,259419990,259015455,85933238,72339498,59604878,48218065,38308373,38308374,48218068,48218191,51206971,51206973,62856673,75820279,72403468,59667910,48280144,48280146,48217424,38307703,38307702,38307716,38307715,48217445,59604358,71033802,71033801,72339557,72339556,72339781,59605346,48218584,48218582,59605345,59604670,48217778,48217777,59604666,72339306,60097134,60097133,60356034,257563482,72339320,59604677,59604676,72339317,77970462,72339527,59604911,48218094,38308387,29740154,29740152,38308381,48218083,59604900,72339059,72339061,72403474,59667914,48280147,38368753,38368754,38307736,29739662,22381347,22381346,29739656,38307724,48217456,46951187,37071387,37071388,29740176,29740178,38308433,38308584,29740295,29740294,38308580,48218335,43182400,43182399,53693743,65750818,72339240,59604548,59604547,256982684,39358450,39358448,49285361,48217661,48217660,38308614,38308613,48218378,59604961,48218158,48218159,59604565,48217663,48217666,59604569,59604919,48218098,38308395,38308397,41423038,41423040,38308405,38308406,38308284,29740089,29739910,29739909,29740275,29740274,29740170,29740169,38308413,38308409,38308408,256947175,29739920,29739921,38307778,29739690,22381360,22381229,22381228,29739460,38307443,38307919,29740378,25290269,25290268,33015509,41957999,38307482,29739488,22381245,22381246,29739490,38307486,46612223,268604917,21033599,15107508,15107507,16224517,268225911,16224409,20890462,28060850,256813935,28060884,28060885,36526754,38307975,29739847,22381455,22381213,22381214,29739401,38307355,38307381,48217070,38307997,268404727,268086677,7486826,7486827,11278567,16224347,22381480,22696951,16494376,11492162,11492163,16494383,22696965,30077964,38308066,38308858,36526578,28060770,28060771,30451146,23043057,20931059,15023106,15023105,16224523,22381800,29740415,33315317,25553469,25553468,33315314,42295867,38308219,38308218,46386565,48216962,38307263,29739330,22381146,16224173,16224172,22381135,29739309,38307234,38307661,29739614,22381321,22381322,29739618,38307667,48217379,38307664,38307665,48217381,57736201,70430438,73094990,77300834,91220988,257001274,77300847,77300846,78876586,65541561,53517578,53517579,60355851,73094930,64152481,64152480,64151863,53517574,43039309,257844587,48099813,38188073,38188074,48099829,52300574,41959869,33017131,25291458,25291459,33017133,40803825,33016375,25290863,18717532,254914196,5956941,5956942,9103934,13324169,18717568,25198321,255214340,32256303,25198331,18635835,13249834,13249835,18635837,25198338,25290688,25290691,25290735,25198352,25198351,255607376,25290708,25290707,33016154,35025482,32910632,25198395,254623716,13249850,18635867,25198392,32910627,41836942,41836826,32910500,32910503,32910510,25198311,25198312,25291054,18717751,13324271,9103984,9103983,13324265,18717741,25290621,25290623,30450678,39039981,37944861,37944860,33016388,25290870,25290871,33016395,40493696,31798627,24284563,24284561,25290838,18717518,18717516,25290833,33016334,41958994,41836890,39038325,30450063,30450064,39039070,48075589,59466459,72204215,85798392,99752398,112671241,271772133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6003162, s2 = 1845796, dlinesl.size( ) = 2 s1 = 6003162, s2 = 1845796, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6003162, Dl.E( ) = 76, 4.29e-05 seconds used appending s1 = 13894009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7439587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7778474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7778474, s2 = 11032758, int(edited[s2]) = 0 s1 = 7778474, s2 = 11032758, d1 = 81, d2 = 95 Dl.O(d1) = 274810522 Dl.O(d2) = 254720158,7640797,254790369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7778474, s2 = 11032758, dlinesl.size( ) = 40 s1 = 6005035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7440023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5979087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5979087, s2 = 5851627, int(edited[s2]) = 0 s1 = 5979087, s2 = 5851627, d1 = 6, d2 = 81 Dl.O(d1) = 238923670 Dl.O(d2) = 239521586,238923661,238923662,239521589,240073848,240585598,240073837,240073838,240585599,241060499,240585608,240585598,240073837,240073836,240585597,240585610,241060511,241060512,240585611,240585596,240585597,240585610,241060511,241501112,241501104,241501105,241501107,241501108,241060508,266862618,266743272,266676998,237558117,266673873,238923662,239521588,240073846,240585607,241060505,241501108,241501109,267010208,241060506,266862620,266743272,238272943,237558120,236770569,235905584,266244232,232770161,232770160,232770161,274110166,263943218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5979087, s2 = 5851627, dlinesl.size( ) = 58 s1 = 6005727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7440183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7440183, s2 = 8842853, int(edited[s2]) = 0 s1 = 7440183, s2 = 8842853, d1 = 25, d2 = 37 Dl.O(d1) = 266675287,238935637 Dl.O(d2) = 241655591,241226533,240763360,240763361,241226536,241655594,242052068,242417094,242052061,267023923,240763357,240262985,239723156,239139467,239139468,239139487,238504697,266763049,239139493,238504709,238504708,266823645,239723178,239139488,238504698,238504699,266763051,239723183,239723173,239723174,240263003,240262993,239723165,239139474,239139475,239723164,239723171,266823643,238504707,266626849,266467121,234295116,234295115,266467119,237049248,237811600,238504699,266763051,239723183,239723173,239723174,240263003,240262993,239723165,239139474,239139475,239723164,239723171,239723168,239139477,238504685,238504684,237811592,237049243,237049242,237811590,238504687,238504703,237811604,237811603,237811598,237049246,266550767,235299267,234295116,233191662,231971736,230617060,229096719,227375306,225407290,223143932,220524984,217446980,213757637,209262056,203782011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7440183, s2 = 8842853, dlinesl.size( ) = 28 s1 = 6030340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7333307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7333307, s2 = 5444541, int(edited[s2]) = 0 s1 = 7333307, s2 = 5444541, d1 = 104, d2 = 137 Dl.O(d1) = 265531364,232814093,232814089,265531360,274690382 Dl.O(d2) = 265531358,230144292,228558810,226755594,224687786,224687785,226755591,228558808,230144292,230144293,274336060,226755594,224687786,222306441,219532659,263839702,273093268,261627948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7333307, s2 = 5444541, dlinesl.size( ) = 52 s1 = 7772697, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5981051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6007113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7440681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7440681, s2 = 11498918, int(edited[s2]) = 0 s1 = 7440681, s2 = 11498918, d1 = 49, d2 = 7 Dl.O(d1) = 266680495,238980959 Dl.O(d2) = 233271292,232058886,230713007,274491636,225540898,223295026,220696881,217643105,213984201,213984200,213984201,273929077,273239999,19028671,13582408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7440681, s2 = 11498918, dlinesl.size( ) = 22 s1 = 10288761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7424930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7424930, s2 = 8939805, int(edited[s2]) = 0 s1 = 7424930, s2 = 8939805, d1 = 64, d2 = 62 Dl.O(d1) = 266521374 Dl.O(d2) = 266485718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7424930, s2 = 8939805, dlinesl.size( ) = 78 s1 = 6008720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7441182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8924548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8924548, s2 = 11525182, int(edited[s2]) = 0 s1 = 8924548, s2 = 11525182, d1 = 60, d2 = 46 Dl.O(d1) = 274642121,236063009,236913340,266686137,239030675 Dl.O(d2) = 236846942,235989125,235046275,266249248,274522040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8924548, s2 = 11525182, dlinesl.size( ) = 34 s1 = 5983673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8919047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6011731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6011731, s2 = 5895858, int(edited[s2]) = 0 s1 = 6011731, s2 = 5895858, d1 = 21, d2 = 1 Dl.O(d1) = 239675331 Dl.O(d2) = 236981611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6011731, s2 = 5895858, dlinesl.size( ) = 22 s1 = 14813174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5986363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7428606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7428606, s2 = 10416003, int(edited[s2]) = 0 s1 = 7428606, s2 = 10416003, d1 = 88, d2 = 0 Dl.O(d1) = 266558698 Dl.O(d2) = 86505263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7428606, s2 = 10416003, dlinesl.size( ) = 102 s1 = 7442050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7429356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5929745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5959900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8962360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8962360, s2 = 5826829, int(edited[s2]) = 0 s1 = 8962360, s2 = 5826829, d1 = 10, d2 = 6 Dl.O(d1) = 242419315,242054576 Dl.O(d2) = 239142127,238507340,237814106,237051752,237051751,237051753,236216958,235301683,266106572,231975269,230621541,229102322,227381963,225415088,223153330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8962360, s2 = 5826829, dlinesl.size( ) = 12 s1 = 7455032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9052158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8906112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7774980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7466860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7466860, s2 = 7774979, int(edited[s2]) = 0 s1 = 7466860, s2 = 7774979, d1 = 7, d2 = 7 Dl.O(d1) = 266936542,239444595,274763168 Dl.O(d2) = 266936542,239444595,274763168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7466860, s2 = 7774979, dlinesl.size( ) = 2 s1 = 7466860, s2 = 7774979, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7466860, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 6016808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6016875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5992415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8973528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7782090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13983215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7422072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7393362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6018920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6019588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7462293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7462293, s2 = 11545384, int(edited[s2]) = 0 s1 = 7462293, s2 = 11545384, d1 = 50, d2 = 0 Dl.O(d1) = 266892350 Dl.O(d2) = 227829797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7462293, s2 = 11545384, dlinesl.size( ) = 68 s1 = 8921283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7462414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7462414, s2 = 11455675, int(edited[s2]) = 0 s1 = 7462414, s2 = 11455675, d1 = 21, d2 = 1 Dl.O(d1) = 266893393 Dl.O(d2) = 73546755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7462414, s2 = 11455675, dlinesl.size( ) = 22 s1 = 5995598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5995828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7467831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8934246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8928475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8928475, s2 = 6023247, int(edited[s2]) = 0 s1 = 8928475, s2 = 6023247, d1 = 58, d2 = 51 Dl.O(d1) = 259900119,264166849,266208349,234667871,266497935,237336934,274791247 Dl.O(d2) = 239940763,266786977,266896162,266089080,263849197,175055638 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8965705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10353703, s2 = 11053692, int(edited[s2]) = 0 s1 = 10353703, s2 = 11053692, d1 = 305, d2 = 312 Dl.O(d1) = 259736543,122197692,261517605,263409993,198854208,205159645,210382238,214650854,218160537,221104888,223622691 Dl.O(d2) = 228070467,226214062,224081805,221623225,218760358,215369677,215369678,274264102,184592829,262640515,263479726,10508344,6934636,4357456,2610594,1507036,854460,482572,482573,854461,1507037,2610596,4357462,6934648,10515547,15242808,255816815,36932205,28433439,256306329,28433426,21209316,21209317,255968748,46810528,46810600,255968750,58177938,46810594,36932216,28433445,28433446,36932218,46810597,58177990,47834447,47834446,42500912,33502308,33502309,42500914,52910376,58657838,47266106,46810540,46810538,39147459,30549688,30549687,39147457,49077183,58657849,47266101,47266102,58657844,47266093,47266092,58177940,54606164,43863220,34592685,26605712,26605713,28816916,37356325,47266097,55442883,44592610,35211865,35211864,44592606,37356345,37356346,47266119,58657860,65130301,53145352,42694856,33664132,25857974,19200700,19200699,256674831,50407174,44592590,35211847,31678816,24170691,24170692,31678818,255968774,50407183,50407184,55442870,44592597,35211853,27119632,20216475,20216474,27119629,35211849,44592592,37912916,37912915,47834594,255968754,58657846,55442877,44592616,44592617,268100160,40372262,40372261,50407170,50407178,40372269,31678812,255968772,17803229,24170688,31678803,40372258,39054912,30464937,23056446,16809689,16809690,23056450,30464941,35211855,29343827,22011873,15910345,11031684,11031685,15910348,20216481,14506831,9982269,9982270,14506833,20216484,27119641,35211860,27119636,27119635,35211858,44592601,55442858,61733855,50255515,40236198,31550262,31550261,31674677,24165079,17797294,255021825,6933304,6933305,6975358,256311015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10353703, s2 = 11053692, dlinesl.size( ) = 98 s1 = 9310344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6022945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6022945, s2 = 7785566, int(edited[s2]) = 0 s1 = 6022945, s2 = 7785566, d1 = 117, d2 = 105 Dl.O(d1) = 238004305,238681634,239302862,239874536,239934198 Dl.O(d2) = 244296292,274976482,267195815,242977311,274925147,274904256,240041717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6022945, s2 = 7785566, dlinesl.size( ) = 36 s1 = 5998640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7468301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13908743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7477564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6024052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6024052, s2 = 5761100, int(edited[s2]) = 0 s1 = 6024052, s2 = 5761100, d1 = 50, d2 = 27 Dl.O(d1) = 239956263 Dl.O(d2) = 233658802 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8934481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7787743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7787743, s2 = 9301686, int(edited[s2]) = 0 s1 = 7787743, s2 = 9301686, d1 = 24, d2 = 3 Dl.O(d1) = 274933876 Dl.O(d2) = 236609707,237410140,236609709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10286983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6000326, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8954896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6025479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166256, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6026746, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7446220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446220, s2 = 11653360, int(edited[s2]) = 0 s1 = 7446220, s2 = 11653360, d1 = 25, d2 = 44 Dl.O(d1) = 266734875 Dl.O(d2) = 267296768,274912558,241811117,241394474,241394475,241811124,242195592,242195555,242195557,267118590,241811181,241394517,241394502,267040051,267118569,242195604,242195799,267118587,267216445,267216448,241811187,241394521,266949584,240458855,274875331,241394524,241811193,242195705,242551299,242882576,242551376,242195763,242195761,242551373,242195842,241811272,241811269,242195837,242551433,242551414,242551416,242882507,242551180,242195597,241811128,241811129,242195601,242551160,242195583,241811118,241394474,241394475,241811124,242195591,242551168,242882497,242551295,242551294,242551125,242195559,242195560,267153309,243190723,243190736,242882490,242551155,242195579,241811116,241394474,241394475,241811124,242195592,267185897,267296767,267271540,267244688,267185916,267185901,242882707,243190873,243479892,267185904,267118592,241811185,267080789,242551292,242195763,242195761,242551373,242195842,242195845,242551448,242882482,242551446,242551447,242882487,242882486,243190735,242882536,242882537,243190764,243479856,243479855,267244688,267185916,242551144,242195573,242195572,242551143,267153328,242551117,242195628,242195616,267118567,242195566,242551135,242882475,267216439 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6027767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7464062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13894053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6028187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13919265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10290796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6029545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6029545, s2 = 11181308, int(edited[s2]) = 0 s1 = 6029545, s2 = 11181308, d1 = 83, d2 = 77 Dl.O(d1) = 240070797,239518175 Dl.O(d2) = 141671325,260640203,100420609,86463858,270288022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6029545, s2 = 11181308, dlinesl.size( ) = 40 s1 = 8969762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661106, s2 = 10163279, int(edited[s2]) = 0 s1 = 11661106, s2 = 10163279, d1 = 0, d2 = 0 Dl.O(d1) = 244060992,267225930,243552459,243268693,242965255,267130018,242965256,242640233,242291316,241914509,241506505,266916558,240591690,240080545,240080546,240591691,240591697,240080552,239529019,238931863,238282099,266442078,233928952,232785828,231520912,231520911,232785826,233928948,234970582,235918359,235918368,234970591,233928957,232785832,231520914,230110043,265744454,230110042,230110041,230110040,274418622,226711755,226711754,226711757,224636796,224636797,274286420,224636799,222247443,219463606,216167952,216167951,216167950,212190554,207321182,201415732,194399015,186209883,186209884,186209885,176817866,261253936,141826045,128472938,128472935,128472934,114587067,100554926,100554925,86593203,72995391,60259754,60259755,270345409,86593204,90183768,76355483,63324213,51600691,41375736,32526511,24882931,24882928,18384552,13058610,13058607,254715588 Dl.O(d2) = 244060992,267225930,243552459,243268693,242965255,267130018,242965256,242640233,242291316,241914509,241506505,266916558,240591690,240080545,240080546,240591691,240591697,240080552,239529019,238931863,238282099,266442078,233928952,232785828,231520912,231520911,232785826,233928948,234970582,235918359,235918368,234970591,233928957,232785832,231520914,230110043,265744454,230110042,230110041,230110040,274418622,226711755,226711754,226711757,224636796,224636797,274286420,224636799,222247443,219463606,216167952,216167951,216167950,212190554,207321182,201415732,194399015,186209883,186209884,186209885,176817866,261253936,141826045,128472938,128472935,128472934,114587067,100554926,100554925,86593203,72995391,60259754,60259755,270345409,86593204,90183768,76355483,63324213,51600691,41375736,32526511,24882931,24882928,18384552,13058610,13058607,254715588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661106, s2 = 10163279, dlinesl.size( ) = 2 s1 = 11661106, s2 = 10163279, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 11661106, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 13916847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13916847, s2 = 7403815, int(edited[s2]) = 0 s1 = 13916847, s2 = 7403815, d1 = 76, d2 = 56 Dl.O(d1) = 238941688,239538385 Dl.O(d2) = 266302200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13916847, s2 = 7403815, dlinesl.size( ) = 104 s1 = 9631544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6007301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8931826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13913451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8942189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6032448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10288051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10288051, s2 = 8963585, int(edited[s2]) = 0 s1 = 10288051, s2 = 8963585, d1 = 7, d2 = 4 Dl.O(d1) = 241547368,241110859,240640389,240640384,240132795,239585440,238993674,238350375,237644268,266531901,236011459,266609657,238350377,238993677 Dl.O(d2) = 238350385,266747757,239585467,240132827,240640416,241110862,240640395,240132809,239585454,238993686,238993680,238350379,238350380,238993682,239585450,240132804,266918717,239585455,238993687,274851415,241547374,241547361,274880163,240640418,240132829,239585469,239585468,240132825,239585466,239585467,240132827,240640416,241110862,240640395,240132809,266918715,239585461,238993694,238350391,238350390,238993693,239585460,240132820,240640397,240132813,240132814,240640399,241110869,241110844,266918713,239585436,238993671,238993672,239585438,240132791,240132797,239585469,239585468,240132825,239585466,239585465,240132824,240640413,241110881,241547376,241547377,241110877,240640409,240640397,240640396,241110866,241547375,241547385,241547383,241547378,241547379,241951753,241547367,241110857,241110858,241110879,241547371,241110860,240640389,240640384,240640383,241110850,241110847,240640407,240640408,240763020,240763019,241110875,266918719,266809453,238993691,274835377,238993696,238993695,266866267,240132822,240640388,240132800,240132799,266967619,274880163,240640418,240640417,241110884,241547385,267139992,266918713,240132787,240640374,241110840,241547352,241951750,241547362,241547363,241547381,241547371,241110860,240640389,240640384,240132795,239585440,239585439,240132793,239585456,238993687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10288051, s2 = 8963585, dlinesl.size( ) = 2 s1 = 10288051, s2 = 8963585, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10288051, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 7440596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7440596, s2 = 6055432, int(edited[s2]) = 0 s1 = 7440596, s2 = 6055432, d1 = 16, d2 = 8 Dl.O(d1) = 266679470,240136462 Dl.O(d2) = 240644051,266679464,274777312,241550312,241954072,267053888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7440596, s2 = 6055432, dlinesl.size( ) = 30 s1 = 8840053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10270714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10270714, s2 = 3791873, int(edited[s2]) = 0 s1 = 10270714, s2 = 3791873, d1 = 47, d2 = 26 Dl.O(d1) = 31392953,23898718,17553490,12383064,8367769,5400536,5400538,8367775,5407170,3324111,3324112,5407171,8365545,8365553,8378692,9261208,9261209,11315338,11315337,8382785,8382786,10562655,12375006,12378419,8364579,5398725,5398727,8364569,12378399,17548351,21878775,17395831,16801620,12259084,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584296,4584299,5409796,5409794,8367095,5400114,5400115,8367096,12382111,17552515,23897932,25507986,18897560,18897559,25507985,33268632,42247955,255267718,74351284,87953539,101926148,115970384,259042754,143196771,155748959,167381964,177877337,187148691,195219444,202118504,207917081,212695576,216601778,219840067,222573254,224920453,274146726,230302736,231694743,232946009,234078555,235109507,234078553,265479462,230302735,230302736,231694744 Dl.O(d2) = 267019260,240769014,240268895,239729885,239146833,266817982,237819425,237057422,236223116,235308308,234304959,233202523,231984332,230632028,229114416,227396347,225431908,223172079,220557407,220557408,220557405,217482978,217482977,217482980,213796973,209304679,203828045,197268182,189578693,180680851,170549643,159211649,146838630,133580894,119706132,105466593,91243897,77323710,64175279,257127024,33039182,33039181,41982867,52323557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10270714, s2 = 3791873, dlinesl.size( ) = 14 s1 = 9708873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8937208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7448375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8956624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7470709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6012231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6012231, s2 = 14166277, int(edited[s2]) = 0 s1 = 6012231, s2 = 14166277, d1 = 0, d2 = 13 Dl.O(d1) = 239685802 Dl.O(d2) = 244933080,245102718,245261361,245410130,245550718,245682321,245805223,245920849,246029379,246131209,246228459,246319783,267560845,246487279,246405982,246405981,246487276,267568861,246564698,246487263,246405970,246319761,246228425,246131188,246029362,245920839,245920838,246029357,246131177,267523011,267552229,246406070,246487367,246564794,246638219,246707251,267576622,267576621,246707202,267568876,246487252,246405963,246405962,246405972,246319762,246228425,246131188,246029362,245920839,245805217,245805216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6012231, s2 = 14166277, dlinesl.size( ) = 2 s1 = 6012231, s2 = 14166277, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6012231, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 7448918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8952723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6037695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13907413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8943589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8962470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8962470, s2 = 7775066, int(edited[s2]) = 0 s1 = 8962470, s2 = 7775066, d1 = 22, d2 = 20 Dl.O(d1) = 267254397,267344276,267122264,241727359,267315573,267157056,241727359,274862358,240350954 Dl.O(d2) = 274764312,266293400,265662712 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7345089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7345089, s2 = 8962471, int(edited[s2]) = 0 s1 = 7345089, s2 = 8962471, d1 = 91, d2 = 103 Dl.O(d1) = 265662713,266293401,274764313 Dl.O(d2) = 239992613,274862359,241439790,267157057,267315572,241439790,267122265,267344277,267254396 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13928203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10289097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10289097, s2 = 870349, int(edited[s2]) = 0 s1 = 10289097, s2 = 870349, d1 = 111, d2 = 52 Dl.O(d1) = 266483819,237210661,237960634,238643136,266710926,266710917,266565774,266483820,235487440,266483817,235487450,234500232,234500231,235487447,236388092,237210641,237960612,238643107,266834939,239842894,266775262,238643152,239268221,274787638,237960644,238643149,239268173,238643087,237960598,237960599,238643089,266834937,239268187,238643111,238643112,239268190,239268182,238643104,237960611,237960612,238643107,266834939,266940679,267073449,242129702,241740133,241318905,266940666,239842870,239842869,240373218,240864360,240373228,240373227,240373209,239842851,239842850,266940677,241318898,267032270,240864361,240864360,240373228,239842892,239268218,239268217,239842890,266940673,241318892,240864353,240864352,241318896,241318898,266940686 Dl.O(d2) = 15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574558,11206189,7435599,4698494,4698496,7435608,11206139,11206137,16131640,22065512,21193691,21193688,16131287,11205912,7435457,4698425,2830751,1642359,933895,526322,294922,294920,526300,933845,1642265,2830592,4698077,7434727,7434730,11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,11206531,11206533,13485876,9226598,9226599,13485873,15882341,18927747,13493503,13493505,15882390,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,6007550,3757328,2250585,1305868,745321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10289097, s2 = 870349, dlinesl.size( ) = 62 s1 = 6042368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6042368, s2 = 11558162, int(edited[s2]) = 0 s1 = 6042368, s2 = 11558162, d1 = 25, d2 = 29 Dl.O(d1) = 240373381 Dl.O(d2) = 266394062,233416832,232223530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6042368, s2 = 11558162, dlinesl.size( ) = 22 s1 = 6018628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7450417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7783061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7783061, s2 = 9383537, int(edited[s2]) = 0 s1 = 7783061, s2 = 9383537, d1 = 81, d2 = 100 Dl.O(d1) = 274870898 Dl.O(d2) = 257681215,74726461,88354702,102350807,98343513,84433972,254728074,46794857,36917030,28419146,21196772,21196771,28419145,36917029,39199133,39199132,42357454,33368492,33368491,36428994,46281673,57625997,58162388,46794852,46794853,58162390,57626335,46282009,36429297,27970689,27970690,36429284,46281995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7783061, s2 = 9383537, dlinesl.size( ) = 2 s1 = 7783061, s2 = 9383537, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7783061, Dl.E( ) = 126, 3.6e-05 seconds used appending s1 = 6042834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6042834, s2 = 7430263, int(edited[s2]) = 0 s1 = 6042834, s2 = 7430263, d1 = 18, d2 = 61 Dl.O(d1) = 240383130 Dl.O(d2) = 237229813,266650147,237310008,266575604,236408546,235509178,266405448,234523516,233441774,265966630,229458912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6042834, s2 = 7430263, dlinesl.size( ) = 2 s1 = 6042834, s2 = 7430263, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6042834, Dl.E( ) = 62, 4.1e-05 seconds used appending s1 = 9592361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9592361, s2 = 13868276, int(edited[s2]) = 0 s1 = 9592361, s2 = 13868276, d1 = 39, d2 = 36 Dl.O(d1) = 129045562,142419161,155064048,166762490,177319129,186644380,194764421,201712434,207560638,212383870,216329081,274285567,265588291,228599871,230181380,231585258,232843924,233982603,235019710,235963862,236823996,237606249,238317656,266863747 Dl.O(d2) = 235513756,234528203,266193431,232256073,233446699,234528200,266396565,235513754,234528198,233446692,232256071,230936902,230936903,230936900,230936901,232256070,233446691,233446688,232256069,232256070,233446690,234528195,266486283,266486281,234528202,266193431,265954563,227807530,274500121,229464634,274449675,265332599,214879098,214879097,218346361,221260191,220797714,217762942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9592361, s2 = 13868276, dlinesl.size( ) = 30 s1 = 6043783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6065795, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6020431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6044385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6044385, s2 = 6943863, int(edited[s2]) = 0 s1 = 6044385, s2 = 6943863, d1 = 73, d2 = 69 Dl.O(d1) = 240416476,239889270,239318633,238698670,266780796,266572398,235569685,234588483,234588484,235569686 Dl.O(d2) = 149749878,260448962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6044385, s2 = 6943863, dlinesl.size( ) = 28 s1 = 5908709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8928155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8949494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6045485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8954456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6022775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7785493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6046572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6023256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6023256, s2 = 6068453, int(edited[s2]) = 0 s1 = 6023256, s2 = 6068453, d1 = 0, d2 = 4 Dl.O(d1) = 239940803 Dl.O(d2) = 240949577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8881995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8881995, s2 = 7312095, int(edited[s2]) = 0 s1 = 8881995, s2 = 7312095, d1 = 39, d2 = 30 Dl.O(d1) = 263094163,193088056,264725339,265697653,229743713,231187234 Dl.O(d2) = 265634658,265286560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8881995, s2 = 7312095, dlinesl.size( ) = 28 s1 = 6024212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8804685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6048465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6025254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6049064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6049064, s2 = 14364718, int(edited[s2]) = 0 s1 = 6049064, s2 = 14364718, d1 = 70, d2 = 104 Dl.O(d1) = 240512027 Dl.O(d2) = 259761988,164399624,175187336,184760119,175187340,164399628,152537007,139820291,139820290,152537006,258504210,139820293,152537009,152537011,164399630,175187345,184760120,175187337,164399625,258504206,139820289,152537003,259133182,139820291,126447457,126447458,139820292,152537008,164399629,175187342,175187339,271637182,259761992,164399630,175187345,184760120,175187337,164399625,258504206,139820289,152537004,164399624,175187336,184760119,175187340,164399628,152537007,139820291,126447457,112578749,98584884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6049064, s2 = 14364718, dlinesl.size( ) = 18 s1 = 6049236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7464527, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10283365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6026749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6027666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9310804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7486118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7453043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7453043, s2 = 7782619, int(edited[s2]) = 0 s1 = 7453043, s2 = 7782619, d1 = 33, d2 = 39 Dl.O(d1) = 266802143 Dl.O(d2) = 274864473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7782618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7782618, s2 = 7453042, int(edited[s2]) = 0 s1 = 7782618, s2 = 7453042, d1 = 32, d2 = 26 Dl.O(d1) = 274864472 Dl.O(d2) = 266802142 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6052664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6052664, s2 = 11661131, int(edited[s2]) = 0 s1 = 6052664, s2 = 11661131, d1 = 19, d2 = 4 Dl.O(d1) = 240582191,240069896,239517049,238918357,238266690,237550662,266115526,234946172,233903244,233903243,233903242,233903240,233903241,233903245 Dl.O(d2) = 262704516,194316308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6052664, s2 = 11661131, dlinesl.size( ) = 2 s1 = 6052664, s2 = 11661131, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6052664, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 13893391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6030108, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13912955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8931530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8951836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8951836, s2 = 10679353, int(edited[s2]) = 0 s1 = 8951836, s2 = 10679353, d1 = 47, d2 = 37 Dl.O(d1) = 266967846,240154669 Dl.O(d2) = 256227349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8951836, s2 = 10679353, dlinesl.size( ) = 2 s1 = 8951836, s2 = 10679353, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8951836, Dl.E( ) = 90, 2.1e-05 seconds used appending s1 = 13921875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13921875, s2 = 7792166, int(edited[s2]) = 0 s1 = 13921875, s2 = 7792166, d1 = 75, d2 = 42 Dl.O(d1) = 240668112,241136177,274867098,267015348,241136186,240668120,240162700,239616879,266751356,239026979,238386031,238386029,239026976,239616886,266812622,241136183,241136184,240668127,240162706 Dl.O(d2) = 274988975,267247823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13921875, s2 = 7792166, dlinesl.size( ) = 50 s1 = 8929602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8929602, s2 = 11379392, int(edited[s2]) = 0 s1 = 8929602, s2 = 11379392, d1 = 22, d2 = 23 Dl.O(d1) = 244908774,244726441,267323480,274890390,266732994 Dl.O(d2) = 264754370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8929602, s2 = 11379392, dlinesl.size( ) = 46 s1 = 6058467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9311156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6058907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6059250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6059250, s2 = 7410308, int(edited[s2]) = 0 s1 = 6059250, s2 = 7410308, d1 = 6, d2 = 9 Dl.O(d1) = 240736628 Dl.O(d2) = 266371593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6059250, s2 = 7410308, dlinesl.size( ) = 2 s1 = 6059250, s2 = 7410308, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6059250, Dl.E( ) = 16, 2.1e-05 seconds used appending s1 = 6080065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6059552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6059552, s2 = 6151148, int(edited[s2]) = 0 s1 = 6059552, s2 = 6151148, d1 = 0, d2 = 12 Dl.O(d1) = 240746510 Dl.O(d2) = 242742763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6059552, s2 = 6151148, dlinesl.size( ) = 28 s1 = 6037169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6037285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7769436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7769436, s2 = 3672329, int(edited[s2]) = 0 s1 = 7769436, s2 = 3672329, d1 = 118, d2 = 96 Dl.O(d1) = 274679979,240256173,240518635,239999776,239440314 Dl.O(d2) = 127261397,262690657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7769436, s2 = 3672329, dlinesl.size( ) = 48 s1 = 6037662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6037699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6060247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8963584, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7475763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7475763, s2 = 4932478, int(edited[s2]) = 0 s1 = 7475763, s2 = 4932478, d1 = 10, d2 = 26 Dl.O(d1) = 267023883,240763069 Dl.O(d2) = 266051555,230616683,231971326,266168971,274534543,225406879,225406878,227374934,229096356,230616688,230616690,230616686,230616685,230616686,229096354,265924263,225406886,225406883,274307771,220524468,223143493,225406881,227374936,229096358,229096353,227374932,265634445,225406884,227374937,265634447,223143495,220524469,217446403,217446402,220524467,265468919,265634445,225406884,265785573,265634447,225406882,274307771,217446401,213756977,213756978,209261308,203781250,197217143,189521503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7475763, s2 = 4932478, dlinesl.size( ) = 2 s1 = 7475763, s2 = 4932478, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7475763, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 6193738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6061023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8961272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6061069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8964573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8964573, s2 = 5989344, int(edited[s2]) = 0 s1 = 8964573, s2 = 5989344, d1 = 7, d2 = 0 Dl.O(d1) = 241670379 Dl.O(d2) = 239161319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8964573, s2 = 5989344, dlinesl.size( ) = 2 s1 = 8964573, s2 = 5989344, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8964573, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 6039152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6039152, s2 = 6101546, int(edited[s2]) = 0 s1 = 6039152, s2 = 6101546, d1 = 0, d2 = 2 Dl.O(d1) = 240289867 Dl.O(d2) = 241675801,242070533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6039152, s2 = 6101546, dlinesl.size( ) = 22 s1 = 7421011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7421011, s2 = 11539528, int(edited[s2]) = 0 s1 = 7421011, s2 = 11539528, d1 = 11, d2 = 29 Dl.O(d1) = 266481686 Dl.O(d2) = 266660378,236629216,235751558,266323294,232564493,265852330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7421011, s2 = 11539528, dlinesl.size( ) = 20 s1 = 6063093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6063093, s2 = 10257893, int(edited[s2]) = 0 s1 = 6063093, s2 = 10257893, d1 = 23, d2 = 19 Dl.O(d1) = 243118766,242805559,242468330,267070991,241286859,240827974,240333300,239800886,239225215,238598990,237914537,237161436,236334347,266478749,266290519,232147490,230816218,229326814,227646635,265495501,264900965,264660517,204920991,204920990,210184871,210184870,210184823,204920956,198569905,191075166,182367709,172410155,172410156,182367711,273659035,198569929,204921001,264660493,204920961,198569907,198569908,204920954,204920953 Dl.O(d2) = 198569908,204920954,198569903,198569902,191075182,191075181,264394721,210184841,210184842,214488814,214488816,265118721,218026424,265495495,274246237,264660511,204920981,204920980,263766185,182367718,182367719,263766187,204920998,274061931,218026469,265315747,225729461,227646629,229326809,229326811,227646632,225729479,223530457,220993137,264900971,210184893,210184891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6063093, s2 = 10257893, dlinesl.size( ) = 24 s1 = 6041064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8957648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8957648, s2 = 6064165, int(edited[s2]) = 0 s1 = 8957648, s2 = 6064165, d1 = 24, d2 = 27 Dl.O(d1) = 274886365,242127039,241737134,241737133,242127038,242488534,242488528,242127035,266940172,240860865,240860866,266940174,239838457,239263445,266710275 Dl.O(d2) = 239263448,239838459,240369250,240860882,267031931,241737167,242127070,242488562,242825191,243138448,243432031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8957648, s2 = 6064165, dlinesl.size( ) = 2 s1 = 8957648, s2 = 6064165, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8957648, Dl.E( ) = 36, 1.5e-05 seconds used appending s1 = 5933356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13922239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6043448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6044720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8938232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7457139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8949887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8949887, s2 = 6116350, int(edited[s2]) = 0 s1 = 8949887, s2 = 6116350, d1 = 1, d2 = 1 Dl.O(d1) = 238726640,266739142,239912180,240437478,240924901,241376015,241794044,242179747,267090304,242357186,241987349 Dl.O(d2) = 238726640,266739142,239912180,240437478,240924901,241376015,241794044,242179747,267090304,242357186,241987349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8949887, s2 = 6116350, dlinesl.size( ) = 2 s1 = 8949887, s2 = 6116350, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8949887, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14166252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166252, s2 = 16257890, int(edited[s2]) = 0 s1 = 14166252, s2 = 16257890, d1 = 3, d2 = 35 Dl.O(d1) = 84229255 Dl.O(d2) = 86969211,73357978,60613432,255979274,39286373,49212932,60613434,61527422,61527436,257069101,40028274,50048063,61527441,74305082,73504487,60755457,60755458,61527431,61527432,74305075,87908882,75386535,75386534,89131468,103220126,117348878,117348879,114057313,114057314,114057321,114057311,100030089,86066734,72468117,59732290,256425298,72468140,59732312,48348109,38445911,255927138,29889499,29889498,38445898,48348092,59732300,48348093,38446931,254361274,16361787,16361326,11386028,7564449,4783012,254535997,11386026,16361323,22535106,29889496,38445894,48348082,48348083,48348079,48348070,38445880,38445881,38445884,38445883,48348074,40811290,40811291,50930644,62534262,75456808,70844985,70844984,84402515,85663984,85663983,85663974,72077039,72077040,85663975,74697981,61904314,269006257,40379151,50413762,61904316,74697984,88325716,78432820,78432819,92469053,102321331,102321335,102321334,88325721,74697994,74697992,74697991,88325708,85874088,72281787,72281788,85874091,99828106,113844284,99828100,85874083,72281778,72281779,70366539,70366538,83891026,77573590,64405623,64405624,77573592,91504600,84939823,84939822,98866719,99828101,85874087,72281781,72281782,60333510,60333511,73073986,77573610,64405637,64405636,77573608,77573614,64405640,64405641,77573615,73073933,60333478,48935585,48935584,60333476,73073961,257791018,64405627,77573596,86678524,86678526,85874100,72281802,59547327,48160406,268624898,22333816,22333815,268636305,48160397,59547313,52532382,42174618,42174617,257200852,48935591,39012187,30422843,23017702,16777473,16777472,23017700,30422840,30422838,257580307,64405694,64405695,77573669,91504682,105729087,119964839,133832279,147076993,159452073,159452071,159452070,170790913,175774422,165042777,153224373,262205461,140542652,127196866,113338683,99336461,85393006,71804816,59064095,47663989,37742067,29181277,21870486,15796496,10944850,7242608,4566189,4566190,7242610,10944855,15795986,10944345,10944346,7242916,4566414,2746355,1771641,1771642,2746051,1591526,1591528,2746056,2946999,2946998,3042649,2746000,1591498,904802,510314,510313,904797,904755,510292,286068,286067,510285,904744,1591399,1009701,1009702,1009727,569015,569012,1009724,1771799,3042525,3042524,5026521,7243231,4566612,3290135,3290134,5353295,7969479,7240949,7240950,7243312,7242163,4565861,4565863,2746400,2746398,3288250,5350201,8293008,10944918,7242667,7242666,7242681,7242680,10944930,15796608,21870607,29181419,29179183,268217123,10957491,10941246,7239869,4564385,2745084,2745085,4564395,7239881,10941254,7907834,7907835,11832684,255059743,10944830,15796481,11832698,7907843,7907844,11832700,16907855,15805070,10951888,10951889,12301406,8308452,8308451,8267491,5334400,3279047,1928721,1928722,3279048,5334405,8267500,12242090,16632517,21868792,23171316,16907860,16907859,23171315,21869989,21869990,21869187,268078791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166252, s2 = 16257890, dlinesl.size( ) = 2 s1 = 14166252, s2 = 16257890, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14166252, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 9678552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9678552, s2 = 11656323, int(edited[s2]) = 0 s1 = 9678552, s2 = 11656323, d1 = 69, d2 = 119 Dl.O(d1) = 264170304,206260926,211281116,215383257,212632099,207842891 Dl.O(d2) = 271613374,193121407,260951384,184763499,184763500,272057336,175191176,164403939,259105822,175191167,184763502,193121401,184763498,175191165,164403923,152541883,139825763,126453496,126453495,257858572,257858578,126453505,112585111,112585112,126453506,139825773,152541885,152541884,164403927,175191167,184763502,193121401,184763498,175191165,164403923,152541881,139825761,257858572,257858578,126453505,112585111,255714180,254955868,37129283,28617694,21381254,15398792,10642894,7026628,4419801,4419802,7026631,10642899,254094436,3844637,3844638,254208144,18637312,19605320,19605319,26333747,28404193,21183285,254662956,21671797,255690152,256031275,16704425,16704426,20952454,16704639,12508468,12508470,11668895,11668894,11668824,7778735,7778734,7778748,7778765,11668869,16709711 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6068455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6125698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6068581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6068581, s2 = 11157128, int(edited[s2]) = 0 s1 = 6068581, s2 = 11157128, d1 = 37, d2 = 51 Dl.O(d1) = 240953083 Dl.O(d2) = 271309575,71005080,58289719,46923934,256315417,21322343,15351148,10604810,6997004,4397288,4397287,6997001,10604803,11317187,14424158,20113159,256964523,38063891,38063892,38551577,38551576,39822088,48602442,38686460,30110194,30110195,28450303,21223615,21223614,28450301,255171796,58194476,255016826,21877601,16636334,16636335,255016828,35199643,44577904,37187884,37187885,37289609,37289610,38728620,37289929,37289927,37340335,28802374,28802375,28538931,23236687,255520192,7939404,7939403,8321789,11158928,16070427,22199495,268426337,255719308,16010640,16010638,16253620,11300233,11300232,11014918,7291748,4598182,2766231,1603540,1603536,2766220,4598167,7291717,11014860,15889525,15889531,21985839,23807580,23807579,257063933,61461494,257465840,52665189,42277808,42277809,52665193,60115281,59618730,59618729,60208086,58496757,58496758,257785288,52665175,54605329,66863437,59061333,47661085,47661084,38320972,256948193,37739400,47661242,48369850,38468276,29910570,22553737,22553738,29910573,38468279,48369856,59061341,59061307,47661079,37739216,29178371,29178369,29178368,256903185,47661075,47661110,37739242,37739243,47661111,47661145,59061355,55304750,44459859,35084682,35084683,44459860,49191390,46852412,255789454,50397613,50397615,46852417,36973658,28475700,21256294,21256293,28475697,28515351,32576312,24919677,18411313,13077203,13077201,18411310,256092127,31559835,31559838,40246188,38488087,31559825,24055079,24055080,22428084,16261217,11305788,7506128,4744723,4744722,7506122,11305785,16261233,22428116,29794127,30424442,24055194,17701057,17701058,12520287,8482331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6068581, s2 = 11157128, dlinesl.size( ) = 38 s1 = 14166274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13825079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6048462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8915855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8950681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6050277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9639922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6071654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7458538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5977286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5977286, s2 = 6092618, int(edited[s2]) = 0 s1 = 5977286, s2 = 6092618, d1 = 18, d2 = 29 Dl.O(d1) = 238880654,239481783,240037232,240552427 Dl.O(d2) = 241474410,267088525,242616896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5977286, s2 = 6092618, dlinesl.size( ) = 20 s1 = 13923823, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6073377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8957553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7478403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7478403, s2 = 11334880, int(edited[s2]) = 0 s1 = 7478403, s2 = 11334880, d1 = 44, d2 = 45 Dl.O(d1) = 267050202,266961562 Dl.O(d2) = 272572808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7478403, s2 = 11334880, dlinesl.size( ) = 24 s1 = 7446810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446810, s2 = 1313036, int(edited[s2]) = 0 s1 = 7446810, s2 = 1313036, d1 = 78, d2 = 45 Dl.O(d1) = 266740494,241060634 Dl.O(d2) = 25354502,33087126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446810, s2 = 1313036, dlinesl.size( ) = 36 s1 = 6052917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6052917, s2 = 10274278, int(edited[s2]) = 0 s1 = 6052917, s2 = 10274278, d1 = 19, d2 = 69 Dl.O(d1) = 240586805 Dl.O(d2) = 233057892,266458933,235198014,234178794,233057902,233057901,232442919,231147580,229702604,228074136,265266680,221628506,224086604,224086608,226218374,228074148,229702622,231147603,232442949,233614184,234679595,234178799,233057907,231818008,230439139,228887807,227127030,265911195,229702614,228074142,265618572,231147589,232442930,266158060,233614144,234679570,235651449,266458930,235198011,234178788,233057896,231818001,231818002,233057893,233057892,266458933,235198014,234178794,233057902,231818004,230439137,230439136,231818002,233057893,233057892,266458933,235198014,234178794,233057902,233057901,232442919,231147580,229702604,228074136,265266680,221628506,224086604,224086608,226218374,265618574,231147601,231147583,229702607,228074138,228074139,229702609,231147587,232442927,233614153,234679573,235651452,236537174,236537179,235651461,234679588,234679589,235198009,234178788,233057896,231818001,231818002,233057893,233057892,266458933,235198014,234178794,233057902,233057901,232442919,231147580,229702604,228074136,265266680,218766000,273411766,184603132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6052917, s2 = 10274278, dlinesl.size( ) = 14 s1 = 6052948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6005544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7448685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13914295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7459232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7459232, s2 = 16400724, int(edited[s2]) = 0 s1 = 7459232, s2 = 16400724, d1 = 15, d2 = 28 Dl.O(d1) = 266862757 Dl.O(d2) = 267368949,245058868,245221086,245373290,245516730,245651567,245651566,245776966,267470150,267470148,245516725,245373286,245221084,245221083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7459232, s2 = 16400724, dlinesl.size( ) = 18 s1 = 7459498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7459498, s2 = 8653213, int(edited[s2]) = 0 s1 = 7459498, s2 = 8653213, d1 = 112, d2 = 2 Dl.O(d1) = 266865147,240629452,240639866,240132249,239584911,266681784,236865499,236009766,266352761,266022287,226898722 Dl.O(d2) = 201960491,195043174,195043175,186958426,177678156,167179679,155547700,155547699,167179648,155547683,142998831,129670999,129670998,142998827,155547674,167179639,167179687,177678099,186958346,195043151,201960505,207779205,201960565,195043202,186958385,186958384,195043200,201960480,207779184,201960490,201960491,195043174,195043175,186958426,177678156,167179679,155547700,142998837,129671002,115774319,101729299,258869985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7459498, s2 = 8653213, dlinesl.size( ) = 22 s1 = 6075991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6055144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7459607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7459607, s2 = 9708872, int(edited[s2]) = 0 s1 = 7459607, s2 = 9708872, d1 = 15, d2 = 3 Dl.O(d1) = 266865899,240636780,241107404,240661997,240156295,266535272,238379537,237676110,236901270,236049670,265897710,232950482,231699490,230307518,228742373,228742372 Dl.O(d2) = 101938092,87965499,74363324,61586807,50106840,40086235,31405814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7459607, s2 = 9708872, dlinesl.size( ) = 2 s1 = 7459607, s2 = 9708872, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7459607, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 7492997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7492997, s2 = 8104281, int(edited[s2]) = 0 s1 = 7492997, s2 = 8104281, d1 = 166, d2 = 217 Dl.O(d1) = 267193332 Dl.O(d2) = 46749690,257252604,58118139,46749562,36870247,28373345,21156074,15200470,10724765,7085709,4461173,4461171,5553373,8556460,12607486,13564460,11309722,9287270,6083986,6083985,8305739,5358892,5358894,8305745,9304848,6095101,3813411,3813413,6095105,9304856,12372959,8360858,8360860,12372963,17541950,23888617,31385161,256985137,30226718,30226719,38809459,256916040,22835070,16613966,16613967,11588365,11588368,9304401,6094853,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171501,10484875,7790816,7790815,9328262,13562800,13562799,19003940,18580963,13204410,9001430,9001431,9844216,254968495,13546179,268147401,23410225,27213497,25625745,25625744,28781849,21518594,15507526,254671724,255297914,30038843,256694048,31754374,31754375,40067800,33389878,31753658,31753656,33384412,42373484,52772552,49782577,49782576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7492997, s2 = 8104281, dlinesl.size( ) = 70 s1 = 6057235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6057235, s2 = 7470881, int(edited[s2]) = 0 s1 = 6057235, s2 = 7470881, d1 = 0, d2 = 13 Dl.O(d1) = 240686962 Dl.O(d2) = 266975571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6057235, s2 = 7470881, dlinesl.size( ) = 14 s1 = 6078711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6078711, s2 = 11535740, int(edited[s2]) = 0 s1 = 6078711, s2 = 11535740, d1 = 47, d2 = 29 Dl.O(d1) = 241174557,240708438,240205270,240205261,266925077,241174543,241174544,240708428,266973461,266973465,240708423,240708419,240708420,241174542,240708431,240205263,239661475,239074079,238434943,238434944,239074080,266873511,240205265,240205266,240708434 Dl.O(d2) = 234164981,266265253,231802407,231802406,266265251,231802407,265909551,227106890,265449071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6078711, s2 = 11535740, dlinesl.size( ) = 2 s1 = 6078711, s2 = 11535740, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6078711, Dl.E( ) = 48, 2.91e-05 seconds used appending s1 = 7460393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6058302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7460454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7460619, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10288937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6037381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5960463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7454897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7454897, s2 = 6933919, int(edited[s2]) = 0 s1 = 7454897, s2 = 6933919, d1 = 94, d2 = 105 Dl.O(d1) = 266820594 Dl.O(d2) = 159511886,147151209,133927383,260282217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7454897, s2 = 6933919, dlinesl.size( ) = 2 s1 = 7454897, s2 = 6933919, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7454897, Dl.E( ) = 126, 3.6e-05 seconds used appending s1 = 7450965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6081290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6060615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7479999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7479999, s2 = 10331687, int(edited[s2]) = 0 s1 = 7479999, s2 = 10331687, d1 = 71, d2 = 118 Dl.O(d1) = 267065268 Dl.O(d2) = 18774012,18775558,13375853,13375851,13373538,9140435,9140434,9141556,8465478,8465477,12497563,9139496,9139495,9142230,9142232,13375054,13375055,13376037,12497542,8465465,8465466,9139490,9139004,5980499,5980501,9139012,5980903,5980902,5982014,3740750,2239469,1298656,1298655,2239461,2239216,1298507,1298508,2239153,3740174,5981272,9140206,5981400,5520189,3740876,2239537,2239539,3740883,5982487,5982588,5982606,3740958,3740959,5982113,9141487,12682302,13376062,13372345,9139486,5980802,3739902,3739900,5980793,9139464,9137823,5979687,5979688,9137830,9141533,9141534,13374960,15697521,12624243,12479450,8450266,5458429,4482649,4482647,7119614,10775413,15577340,13373583,9140475,5981452,5981454,8423543,12455229,13372326,255256585,13372997,13373634,254647361,5981535,9140596,8421446,8421447,12453155,12453116,8421496,5435480,3341444,1964914,1122263,1122262,1964911,3341437,5435467,8421476,12453195,8614019,8408479,8408480,12440139,12440146,12457000,12437540,12437541,17619378,12470496,12470493,17644544,17651477,12480782,8451660,8451663,12470469,12470468,17641346,12465914,12465915,12474089,8443755,5452720,3352085,3352086,5452725,5183401,3162417,3162415,5183396,5183418,5183419,7894359,5438278,5438275,8411558,5428170,5046647,3057004,1781777,1781780,3057012,5046664,5438786,3343395,3343394,5438785,8406506,11880808,8435763,8435762,11279672,7487579,7487578,11279671,7637383,5454444,5454445,8445716,8446599,12476410,17631551,12461165,12461164,8452389,5460091,5460094,5434389,5434387,5449912,3350256,3350257,5449919,5437300,5437301,5449679,3350130,3350131,5449684,8440098,12470872,12474034,12474035,17645018,17618982,12437030,8449128,5457387,5457388,8449130,12478508,17633045,12455209,12455210,12470926,12470925,17644854,12470966,8452385,8452384,8440413,5449920,5449699,3350139,3350138,5449696,8440121,12470940,17627599,12447765,8416010,5434469,3340757,3340754,1969519,1124628,630746,630747,1124630,1969524,3349932,5438042,3342942,3342941,5438040,3344739,1966753,1966754,3344743,5438027,5438030,8424908,8439274,5449152,5449151,8439272,8406330,8406329,12437724,12458347,12448842,8417146,8417144,8445266,5454102,5454104,5454095,3353015,3353013,5454085,5448244,3349301,3349300,3339968,3339967,5433158,8418355,5458239,5458240,8450067,12449388,12471752,12443164,12443130,12443129,12445108,8413498,8413497,12445107,12454335,12454336,12468216,254600847,3348993,3348995,5447715,5429726,3337831,3337830,5429724,8413677,12438421,12445276,12471968,17645501,23972324,255573557,12444070,8412470,5437054,3342394,3342397,5437067,8423635,8408207,8408209,8414927,12437381,12476039,15900547,11023023,8413359,5429518,3337703,1962855,1121183,629035,349392,349391,349352,191523,191521,349345,628932,1120953,1962392,1966800,254406443,5427324,3336393,3336392,3336911,5428176,8411570,12443213,9138002,9138003,13370192,12684344,12478667,12466530,12466527,17626278,17626279,17625935,12445970,8414296,5446612,5446611,8435892,8416625,5431794,5431795,8416628,5443698,5443697,5424944,5424943,5424987,5424985,5438497,8425174,8425171,5451494,3351309,1970244,1124979,630930,350315,191972,104784,104785,191813,349992,629347,1121804,1122170,1122172,1964736,1122744,1122743,1121731,629310,349534,349532,350021,630333,1123770,1967761,3346652,5443916,8413496,8413495,8432543,12122708,8154680,8154679,254595344,23546887,28350088,28350087,36847456,46730425,58102247,50090011,40068766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7479999, s2 = 10331687, dlinesl.size( ) = 42 s1 = 9740986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9740986, s2 = 11597514, int(edited[s2]) = 0 s1 = 9740986, s2 = 11597514, d1 = 32, d2 = 26 Dl.O(d1) = 266702479,274823481,240298646 Dl.O(d2) = 267108644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9740986, s2 = 11597514, dlinesl.size( ) = 30 s1 = 9641607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9734646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8926394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361922, s2 = 11540652, int(edited[s2]) = 0 s1 = 10361922, s2 = 11540652, d1 = 57, d2 = 46 Dl.O(d1) = 266832230 Dl.O(d2) = 265871086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361922, s2 = 11540652, dlinesl.size( ) = 66 s1 = 6084232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6064710, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7472214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6085648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9565345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6065973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7462737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7462737, s2 = 6171174, int(edited[s2]) = 0 s1 = 7462737, s2 = 6171174, d1 = 12, d2 = 7 Dl.O(d1) = 266896473 Dl.O(d2) = 242866046,242866047,243175521,274950929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7462737, s2 = 6171174, dlinesl.size( ) = 8 s1 = 6087477, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8965756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8965756, s2 = 7538973, int(edited[s2]) = 0 s1 = 8965756, s2 = 7538973, d1 = 33, d2 = 30 Dl.O(d1) = 274933298 Dl.O(d2) = 267611969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8965756, s2 = 7538973, dlinesl.size( ) = 28 s1 = 7766139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7766139, s2 = 6172660, int(edited[s2]) = 0 s1 = 7766139, s2 = 6172660, d1 = 11, d2 = 1 Dl.O(d1) = 274629109,266901879,240966743 Dl.O(d2) = 243205304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7766139, s2 = 6172660, dlinesl.size( ) = 8 s1 = 8945681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8954850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8946586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7785371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9614384, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6091405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6071306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6071306, s2 = 15888532, int(edited[s2]) = 0 s1 = 6071306, s2 = 15888532, d1 = 48, d2 = 11 Dl.O(d1) = 241007502 Dl.O(d2) = 61323533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6071306, s2 = 15888532, dlinesl.size( ) = 8 s1 = 6071504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6072949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8956950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8956950, s2 = 13392636, int(edited[s2]) = 0 s1 = 8956950, s2 = 13392636, d1 = 48, d2 = 89 Dl.O(d1) = 266911285 Dl.O(d2) = 116823626,102731910,88723282,75070362,62242989,268617790,46678918,39399458,30796400,23370035,23370036,30796401,255043074,37414958,37414955,40651793,31931581,24395649,17994086,17994087,24395650,18441012,18441013,16662745,16662746,22892366,28273811,31931586,24395654,17994091,12753895,12753896,12753891,8668403,5639772,5639773,268007453,17994093,24395656,31931589,40651799,38072972,38072971,257508623,42515596,33515600,256666119,52926150,59375387,47985373,38072996,38072997,38072990,29508996,29508997,38072982,29508991,29508990,38072980,47985359,59375363,47985355,47985354,39282400,39282399,47263363,48067835,48067834,59458743,72196352,85790186,84976679,71402703,58668317,47276793,47276795,39942731,31268018,23782908,23782909,31268020,23782913,22648206,16457103,16457101,254160356,267825752,59902009,59901998,48508475,38593660,30020959,30020960,38593662,48508480,59902004,61437780,61437781,61437790,49959923,39943016,39943015,49959921,61437786,60578605,60578606,49959616,49959615,50249587,40229712,31543366,29329192,21998782,15899379,11022140,11022142,12186613,16007746,21000529,15084700,15084699,21000527,22121688,22121687,28182957,22341609,16193058,16193059,15084364,15084365,21000082,21905967,15825027,15825028,21905969,29221247,22121580,22121579,29455588,38017736,46527037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8956950, s2 = 13392636, dlinesl.size( ) = 54 s1 = 7478336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13906185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13906185, s2 = 10744296, int(edited[s2]) = 0 s1 = 13906185, s2 = 10744296, d1 = 36, d2 = 26 Dl.O(d1) = 236813234,237596377,237596378,238308319,238956143,239551605,240101317,266964733,241082936,241521456,241927878,242303363,242651208,242975641,243278643,243561742,243824475,244068678,274977175 Dl.O(d2) = 9663879,14054081,15499812,10719158,7081880,7081883,10719165,15499823,17053981,23318484,21508257,21508256,28768917,29525821,29525820,34214752,34214751,39337245,40363270,40363269,34214482,26340914,19612345,14053844,9663750,9663751,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354733,9663911,10719103,10719118,7081863,7081862,10719111,15499731,21508533,19609065,14051085,14051084,19609062,26337406,21508638,21508640,28769503,37302871,36496866,36496867,37066705,34216176,254676616,14054862,9664450,254956905,19613699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13906185, s2 = 10744296, dlinesl.size( ) = 2 s1 = 13906185, s2 = 10744296, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13906185, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 6073567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6005117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6005117, s2 = 14346281, int(edited[s2]) = 0 s1 = 6005117, s2 = 14346281, d1 = 0, d2 = 12 Dl.O(d1) = 239517324,266912865 Dl.O(d2) = 243236573,243236574,243522164,267275601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6005117, s2 = 14346281, dlinesl.size( ) = 60 s1 = 9680844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6073916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9625469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8935403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6075069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6075069, s2 = 10148050, int(edited[s2]) = 0 s1 = 6075069, s2 = 10148050, d1 = 30, d2 = 59 Dl.O(d1) = 241084136 Dl.O(d2) = 2522447,4219014,6734061,4219069,2522478,2522479,4219075,6734148,6734338,4219209,2522561,1453650,1453649,2522556,4219088,6734169,10249305,14906572,10250936,6735503,6735501,10250927,14908498,10250917,6735496,6735497,6735550,6735551,10251007,11152371,14910776,20802070,14908156,10250611,6735220,4219862,4219863,6735225,10250617,8701301,5663849,5663851,8701310,10251088,14908684,16475260,22671107,26919807,20805339,14910732,14910731,20805337,255561254,36427039,270270665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6075069, s2 = 10148050, dlinesl.size( ) = 24 s1 = 7426377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7426377, s2 = 2264469, int(edited[s2]) = 0 s1 = 7426377, s2 = 2264469, d1 = 60, d2 = 56 Dl.O(d1) = 266536936,241528820 Dl.O(d2) = 186647402,258898462,177323288,177323287,186647395,194766746,201714414,201714411,259522394,186647411,186647410,258275914,166767952,155070673,142426040,129051988,115124145,101049529,87053488,73435634,60687392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7426377, s2 = 2264469, dlinesl.size( ) = 24 s1 = 7479135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7479135, s2 = 8610606, int(edited[s2]) = 0 s1 = 7479135, s2 = 8610606, d1 = 45, d2 = 30 Dl.O(d1) = 267056729,241562440,241128585,240660411,240154895,240154894,267014759,241562453,241562455,267056731,274905450,241964771,267056738,241128602,240660421,240154900,239609348,239019452,239019453,239609350,240154904,266969359,241562490,241964808,242336786,267132747,242336769,242336806,241964806,241562489,267056733,241964769,241562452 Dl.O(d2) = 259247899,111671305,125472598,261601137,138800431,260468341,260550426,46332984,36477390,28016632,20850589,254998539,7671263,4853836,4853835,3718320,2226592,2226593,3718344,5946025,5375922,3305692,1944765,1466905,254218939,4259184,6793128,10324029,10278958,6755508,4233231,2531029,2531028,4233229,5922812,3703534,2218170,2218172,2217733,1286785,734758,417810,236327,130400,130401,130420,130419,236376,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786501,4281173,4281174,4308911,4281131,4281130,6824263,10360640,15033076,10363351,6826730,6826731,10363353,12094079,17198814,14602680,14602679,15004671,15004670,17874940,12658344,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,15000020,10364756,8130766,5209217,5209215,8130756,9086958,5944035,3716879,2225705,2225707,3716886,5944050,4282216,2560240,1474493,1474495,2560246,3179797,1861291,254260799,254575605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7479135, s2 = 8610606, dlinesl.size( ) = 2 s1 = 7479135, s2 = 8610606, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7479135, Dl.E( ) = 50, 2.29e-05 seconds used appending s1 = 8963782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8963782, s2 = 7567256, int(edited[s2]) = 0 s1 = 8963782, s2 = 7567256, d1 = 59, d2 = 30 Dl.O(d1) = 274273945,274723871,236249573,266554135,237840989,238531668,266881733,240781624,267106163,242345260,242345259,241974542,241573565 Dl.O(d2) = 268115857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8963782, s2 = 7567256, dlinesl.size( ) = 42 s1 = 7494112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7494112, s2 = 7294293, int(edited[s2]) = 0 s1 = 7494112, s2 = 7294293, d1 = 11, d2 = 7 Dl.O(d1) = 267204144,241576832 Dl.O(d2) = 265081440,262909084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7494112, s2 = 7294293, dlinesl.size( ) = 14 s1 = 7465483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13935369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13935369, s2 = 11612367, int(edited[s2]) = 0 s1 = 13935369, s2 = 11612367, d1 = 29, d2 = 32 Dl.O(d1) = 242006763,241607595,241176014,240709814,240206600,240206601,240709816,241176016,241607597,242006813,242374950,242716509,243034659,243332841,267230976,242374965,242716520,242716518,267201503,267169955,242716498,242716520,242716518,243034666,243034676,242716532,242374979,267135877,242006786,242006785,242374959,242716517,267201507,243332842,243034663,243034662,243034674,274928103,242374952,267135871,242374978,267100105,241607599,241176017,241176016,241607597,242006812,267135877,242006786,242006785,267135875,242374954,242006780,267135873,242374969,242006795,241607585,241176007,241176008,274894899,267135881,243034673,243332844,243332846,243611791,243871240,243611794 Dl.O(d2) = 241607599,241176017,241176016,241607597,242006813,242374951,242716510,267201505,243611788,243611793,267258273,267201511,243034671,243332848,243332845,243332846,243611791,243871240,274946817,243332823,243611768,243611770,243332824,243332825,243034670,242716524,242374968,242006798,242006799,242374973,242716504,243034661,267135879,242374966,242716521,243034657,242716500,242374975,242374976,242374926,242006751,267018825,240709799,240709798,241175990,267060623,267169951,274917863,242006761,242006762,267100099,242006787,242006776,267018831,240709807,240206596,239662759,239662758,240206590,240709797,241175987,241607554,242006746,241607578,241176003,241176004,241607580,241607595,241176014,240709814,240206600,240206599,240709813,241176010,267060629,241607588,241607589,242006800,242374949,242716505,242374961,242374962,242374932,242006759,241607562,241175994,240709802,240709796,240709797,241175988,267060621,242374924,242374940,267135867,242006804,242006806,242006807,241607592,241607594,267100103,242374971,242374972,242716529,243034655,267135869,242374942,242374953,242006780,241607575,241607574,242006747,241607556,241607557,242006748,267018831,240709807,240206596,240206595,240709804,267018829,242006766,267135867,242006804,242006806,242006807,242006794,241607585,241176007,241176008,241607587,242006799,242006814,241607599,241176017,241176015,241176011,240709814,240206600,239662761,239662760,240206598,240709810,241176006,241607583,242006790,242374965,242716520,242374964,242006789,241607582,241607583,242006791,242006773,241607570,241607569,267169957,267169952,242716501,242374945,242006770,241607568,241175999,240709805,240206596,240206593,240709800,241175992,241607553,241607554,242006746,241607578,241607577,242006750,242006772,242374946,242716480,243034639,267169949,242716476,242374947,242006773,241607570,241176000,240709807,240206596,239662759,239075375,238436355,266691065,236964608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13935369, s2 = 11612367, dlinesl.size( ) = 2 s1 = 13935369, s2 = 11612367, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13935369, Dl.E( ) = 36, 1.12e-05 seconds used appending s1 = 6098553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6098553, s2 = 7269434, int(edited[s2]) = 0 s1 = 6098553, s2 = 7269434, d1 = 23, d2 = 28 Dl.O(d1) = 241608373 Dl.O(d2) = 264784962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6098553, s2 = 7269434, dlinesl.size( ) = 20 s1 = 10338751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7784850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7784850, s2 = 14153536, int(edited[s2]) = 0 s1 = 7784850, s2 = 14153536, d1 = 94, d2 = 48 Dl.O(d1) = 274895371 Dl.O(d2) = 242622504,242622505,242946300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7784850, s2 = 14153536, dlinesl.size( ) = 56 s1 = 6079457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6099350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6099350, s2 = 5986673, int(edited[s2]) = 0 s1 = 6099350, s2 = 5986673, d1 = 13, d2 = 0 Dl.O(d1) = 241627718 Dl.O(d2) = 239099667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6099350, s2 = 5986673, dlinesl.size( ) = 20 s1 = 7466074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7466118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6080802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8970751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8970751, s2 = 14495900, int(edited[s2]) = 0 s1 = 8970751, s2 = 14495900, d1 = 55, d2 = 6 Dl.O(d1) = 242414381,266849734 Dl.O(d2) = 25239030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8970751, s2 = 14495900, dlinesl.size( ) = 20 s1 = 6081123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6081123, s2 = 11555682, int(edited[s2]) = 0 s1 = 6081123, s2 = 11555682, d1 = 141, d2 = 271 Dl.O(d1) = 241228148 Dl.O(d2) = 228707321,228707322,228707323 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6081629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6082433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6017177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7488020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8964267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6103860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6103900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6103900, s2 = 7443724, int(edited[s2]) = 0 s1 = 6103900, s2 = 7443724, d1 = 10, d2 = 19 Dl.O(d1) = 241736847 Dl.O(d2) = 266710241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6103900, s2 = 7443724, dlinesl.size( ) = 18 s1 = 6103926, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6122068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6122068, s2 = 14280173, int(edited[s2]) = 0 s1 = 6122068, s2 = 14280173, d1 = 73, d2 = 48 Dl.O(d1) = 242127983,241738115,241738114,242127979,242127980,242127998,241738128,241316727,240862015,240862016,267032041,241316717,241738113,242127980,242127998,241738128,241316727,241316725,240862019,240862018,241316731,241316720,240862009,240370559,239839943,239265149,239265150,239839945,240370563,240862014 Dl.O(d2) = 199071651,199071650,263013506,262560980,149894892,136753282,260377197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6122068, s2 = 14280173, dlinesl.size( ) = 14 s1 = 6104201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8968424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7429619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6104875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6085710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7487133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7455212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6107102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10286157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10286157, s2 = 13083245, int(edited[s2]) = 0 s1 = 10286157, s2 = 13083245, d1 = 7, d2 = 64 Dl.O(d1) = 238071578 Dl.O(d2) = 266866617,266723490,238355108,237649527,236872664,266682349,266723488,238998158,238998157,266786790,238998149,238355105,238355106,274817851,274829048,240137332,240137331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10286157, s2 = 13083245, dlinesl.size( ) = 38 s1 = 5074316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5074316, s2 = 8928474, int(edited[s2]) = 0 s1 = 5074316, s2 = 8928474, d1 = 0, d2 = 45 Dl.O(d1) = 211000705,263849196,266089081,266896163,266786976,241806435 Dl.O(d2) = 266722096,237436239,266497932,234796541,234796540,235760342,236637150,237436236,238161551,238821762,266904439,240990057,241388914,266948898,239360245,266844334,238161552,266792191,266904443,239988402,239428279,274791246,237436239,266497934,234796541,266208348,264166848,259900118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5074316, s2 = 8928474, dlinesl.size( ) = 42 s1 = 8950083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6088423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6089087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6089403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6089403, s2 = 109782, int(edited[s2]) = 0 s1 = 6089403, s2 = 109782, d1 = 69, d2 = 110 Dl.O(d1) = 241414108 Dl.O(d2) = 2415582,4030984,3854719,2309488,2309486,3854710,3918646,6259530,9541142,13903067 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6108473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6108473, s2 = 10992663, int(edited[s2]) = 0 s1 = 6108473, s2 = 10992663, d1 = 78, d2 = 114 Dl.O(d1) = 241830069 Dl.O(d2) = 10824499,10824452,8822632,8822633,7157385,4507741,3580746,3580745,5750685,6039646,268145827,16245391,16103005,16103009,21415973,15426234,10664341,7043046,4432346,4432347,7043053,8084811,5180191,5180193,8084819,12025534,16101812,11184331,7420964,4689508,2825680,1639448,932313,932310,1639441,2825657,2825776,4689530,4689529,7420992,4689580,4689579,4689585,4689368,2825607,2825608,254527101,11183731,16101013,22236098,22236424,22236425,22236391,22236390,29584243,255579314,22288217,22288218,255458165,16101493,19896400,16341278,11370100,11370101,16138795,16138794,21558470,15537698,15537699,16101094,16101093,11215935,11215936,16143185,16143184,22236691,22236840,16101718,11184247,11184246,16101713,11215431,11184818,7421308,4689720,4689719,7421301,11184781,7421285,4689713,4689715,7421287,11184785,15822866,15822865,16102054,11215757,11215756,16144219,11216132,11215805,7441945,4702205,2832796,1643453,1643454,2832799,4702213,7441958,7441873,7441875,11215770,16101079,16142782,16144296,22287805,22286774,22286773,22166229,16043651,11139966,7388925,7388923,11139959,16043643,22166222,23381144,29584322,22236487,22236486,22158424,254770654,11215643,11215407,7441618,7441617,255084433,254769796,8083502,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1850125,3049459,5036561,7922188,11853277,254491400,255016500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6108473, s2 = 10992663, dlinesl.size( ) = 18 s1 = 9642048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6089631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6089631, s2 = 5215582, int(edited[s2]) = 0 s1 = 6089631, s2 = 5215582, d1 = 53, d2 = 51 Dl.O(d1) = 241417413,241832495,242215870,242570236,242900201,243207421,243495506,243299899,243299898,243581433,243842778 Dl.O(d2) = 236031822,235092287,234059367,232925884,231674522,230282349,228716227,226936559,265600294,265039928,212646700,263973032,202052091,202052092,207859764,274012486,216559836,216559837,219804761,265244620,265895595,266025032,232925886,266448317,236496961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6089631, s2 = 5215582, dlinesl.size( ) = 44 s1 = 6108705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10301782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6109140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6109140, s2 = 16125135, int(edited[s2]) = 0 s1 = 6109140, s2 = 16125135, d1 = 177, d2 = 269 Dl.O(d1) = 241844257 Dl.O(d2) = 209212406,263834906,220502583,223126817,223126816,220502581,220502580,223126814,225394248,227365360,229089252,230611207,231966976,265968724,234291679,235296286,236211866,266310344,236191857,235273623,234265261,233156043,231929790,230569286,229042652,227312762,225332894,225332893,227312759,225332895,265464397,220411686,217301320,213567056,209008083,203454837,196823129 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6090379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6109389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6109389, s2 = 7440022, int(edited[s2]) = 0 s1 = 6109389, s2 = 7440022, d1 = 3, d2 = 7 Dl.O(d1) = 241849042 Dl.O(d2) = 266673804,239987389,239427145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6109389, s2 = 7440022, dlinesl.size( ) = 2 s1 = 6109389, s2 = 7440022, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6109389, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6002559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6072184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6092474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7482289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7482289, s2 = 12960807, int(edited[s2]) = 0 s1 = 7482289, s2 = 12960807, d1 = 51, d2 = 44 Dl.O(d1) = 242615738,267088318 Dl.O(d2) = 22427053,16260346,11305108,7505649,254356237,254239153,1659449,1659450,254239153,944238,532589 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6111457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14815977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14815977, s2 = 8955864, int(edited[s2]) = 0 s1 = 14815977, s2 = 8955864, d1 = 7, d2 = 7 Dl.O(d1) = 266960583,241486703,267089638,267011232,266863794 Dl.O(d2) = 266960583,241486703,267089638,267011232,266863794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14815977, s2 = 8955864, dlinesl.size( ) = 2 s1 = 14815977, s2 = 8955864, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14815977, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8955865, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6112039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6112175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8966577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8966577, s2 = 5971919, int(edited[s2]) = 0 s1 = 8966577, s2 = 5971919, d1 = 51, d2 = 4 Dl.O(d1) = 239514498,266912613,241055758,241496694,241905402,242282808,242632323,274925579,242282797,241905392,241496687,241055754,241055756,241496689 Dl.O(d2) = 238769617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8966577, s2 = 5971919, dlinesl.size( ) = 22 s1 = 7446841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446841, s2 = 14281849, int(edited[s2]) = 0 s1 = 7446841, s2 = 14281849, d1 = 35, d2 = 60 Dl.O(d1) = 266740795,274833621 Dl.O(d2) = 239523974,238926453,266674239,266740797,266674241,236774647,274699082,274752492,266436019,236774648,266674243,238926455,239523977,266962523,267050913,267091159,242636556,242961793,242636549,267091155,267008457,267091157,242636551,242961795,274944731,243813476,244058681,244058676,243813470,243813471,243904130,267234500,267174064,274908272,240768651,240268575,239729637,274709846,274614072,229113391,265636444,265288970,274040928,264049172,180678009,261961718,271981744,271026690,257775584,256631390,268292690,32679040,25000991,18475432,13125684,8946431,8946433,13125808,8946453,8946450,13126548,256097575,41576674,32689575,29193170,29193172,23474499,17192786,17192785,23474492,18470606,18470605,13374529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446841, s2 = 14281849, dlinesl.size( ) = 52 s1 = 7469588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7469588, s2 = 6576821, int(edited[s2]) = 0 s1 = 7469588, s2 = 6576821, d1 = 76, d2 = 114 Dl.O(d1) = 266962627 Dl.O(d2) = 262489751,147346758,134134525,120303825,106103741,91909174,77985425,64791766,52872931,42469159,256146975,254933867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7469588, s2 = 6576821, dlinesl.size( ) = 2 s1 = 7469588, s2 = 6576821, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7469588, Dl.E( ) = 120, 5.2e-05 seconds used appending s1 = 8923991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8923991, s2 = 7418471, int(edited[s2]) = 0 s1 = 8923991, s2 = 7418471, d1 = 47, d2 = 53 Dl.O(d1) = 264584120,265613526,236784482,237570259,266363700,266540684 Dl.O(d2) = 266689472,266540682,266263294,266455988,266754870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8923991, s2 = 7418471, dlinesl.size( ) = 46 s1 = 6094549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166278, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6030890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6131084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7474245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7480608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7480608, s2 = 14816171, int(edited[s2]) = 0 s1 = 7480608, s2 = 14816171, d1 = 7, d2 = 10 Dl.O(d1) = 267071215 Dl.O(d2) = 267055132,266967462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7480608, s2 = 14816171, dlinesl.size( ) = 2 s1 = 7480608, s2 = 14816171, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7480608, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8969770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7443930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6077263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6077263, s2 = 11618016, int(edited[s2]) = 0 s1 = 6077263, s2 = 11618016, d1 = 0, d2 = 35 Dl.O(d1) = 241135264,241568625 Dl.O(d2) = 267233808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6077263, s2 = 11618016, dlinesl.size( ) = 26 s1 = 6115605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13937423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13937423, s2 = 16372996, int(edited[s2]) = 0 s1 = 13937423, s2 = 16372996, d1 = 0, d2 = 0 Dl.O(d1) = 243541169,243588415,243307277,243006451,243006450,243307275,243588414,243849596,243588417,243588416,243307278,243006452,242685757,242341596,241970658,241569275,241135955,240667907,240162499,239616636,239026630,238385676,237682414,266536181,235121213,234091600,232960561,231711122,230320788,228756844,228756841,226980713,224943401,222597704,265045543,195277309,187224599,177975046,167500803,261843705,130003502,116094520,102037699,88053366,74441620,61657617,50171541 Dl.O(d2) = 243541169,243588415,243307277,243006451,243006450,243307275,243588414,243849596,243588417,243588416,243307278,243006452,242685757,242341596,241970658,241569275,241135955,240667907,240162499,239616636,239026630,238385676,237682414,266536181,235121213,234091600,232960561,231711122,230320788,228756844,228756841,226980713,224943401,222597704,265045543,195277309,187224599,177975046,167500803,261843705,130003502,116094520,102037699,88053366,74441620,61657617,50171541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13937423, s2 = 16372996, dlinesl.size( ) = 2 s1 = 13937423, s2 = 16372996, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13937423, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8947681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7470880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7470880, s2 = 6086862, int(edited[s2]) = 0 s1 = 7470880, s2 = 6086862, d1 = 12, d2 = 3 Dl.O(d1) = 266975570 Dl.O(d2) = 241362761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7470880, s2 = 6086862, dlinesl.size( ) = 14 s1 = 6116334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7454406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7454406, s2 = 15847341, int(edited[s2]) = 0 s1 = 7454406, s2 = 15847341, d1 = 62, d2 = 29 Dl.O(d1) = 237716570,238417733,266815597,240190233,240694179,241160896,241593107,241992758,242361582,242704359 Dl.O(d2) = 246022674,245913570,245913569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7454406, s2 = 15847341, dlinesl.size( ) = 40 s1 = 7777764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6098586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10338841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10338841, s2 = 11221930, int(edited[s2]) = 0 s1 = 10338841, s2 = 11221930, d1 = 16, d2 = 11 Dl.O(d1) = 267444239,245411994,245263295,245104659,245104658,245263302,267344580,244754332,267322828,267365082,244934962,244934963,267365084,245263288,245104642,244934938,244754317,244754316,244934936,245104639,244934960,244754331,244754330,244934956,244754335,244561137,244353500,267220142,243629596 Dl.O(d2) = 239105703,238467655,237770071,266326704,233113007,265712134,220282885,217143830,213370446,208763552,203158849,196473902,188666753,261693634,158008666,145606831,132360412,118520367,104336357,90183899,76355678,63324443,51600955,255437070,24883063,24883066,32526689,41375963,50532454,50532442,40497042,31801967,31801969,40497043,257061264,38170639,29603722,256394381,37595204,40282041,31597700,24310004,17925219,17925218,24310003,31827347,35095986,35095985,29485127,22146808,254985626,7381364,7381363,11128526,16027853,22146798,29485110,29923946,29923943,31809671,31809672,40505213,50540572,62032232,74828835,84507696,70944006,58226858,46859052,36980496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10338841, s2 = 11221930, dlinesl.size( ) = 2 s1 = 10338841, s2 = 11221930, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10338841, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 6118069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7483477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8967746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6119027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6119231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6101348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7494461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7494461, s2 = 6981091, int(edited[s2]) = 0 s1 = 7494461, s2 = 6981091, d1 = 62, d2 = 48 Dl.O(d1) = 267207182 Dl.O(d2) = 260911714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7494461, s2 = 6981091, dlinesl.size( ) = 12 s1 = 13903965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8953205, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8964892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8964892, s2 = 7779954, int(edited[s2]) = 0 s1 = 8964892, s2 = 7779954, d1 = 17, d2 = 10 Dl.O(d1) = 242795195,242795196,242795194,242795191,242458122,242094734 Dl.O(d2) = 240815024,274829744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8964892, s2 = 7779954, dlinesl.size( ) = 18 s1 = 6102542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6102542, s2 = 14042021, int(edited[s2]) = 0 s1 = 6102542, s2 = 14042021, d1 = 49, d2 = 86 Dl.O(d1) = 241702788 Dl.O(d2) = 2645420,1528795,254225125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6102542, s2 = 14042021, dlinesl.size( ) = 24 s1 = 7484408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6121612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8979398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8979398, s2 = 5793598, int(edited[s2]) = 0 s1 = 8979398, s2 = 5793598, d1 = 44, d2 = 1 Dl.O(d1) = 274886165,267146181,267210405,243426457,267179166 Dl.O(d2) = 234474916,233388297,274583085,265663602 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6103760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6104850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7472321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7472321, s2 = 11627364, int(edited[s2]) = 0 s1 = 7472321, s2 = 11627364, d1 = 21, d2 = 24 Dl.O(d1) = 266990451 Dl.O(d2) = 267406338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7472321, s2 = 11627364, dlinesl.size( ) = 24 s1 = 7488475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6105574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6105861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6105861, s2 = 7496457, int(edited[s2]) = 0 s1 = 6105861, s2 = 7496457, d1 = 1, d2 = 12 Dl.O(d1) = 241778475 Dl.O(d2) = 267226019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6105861, s2 = 7496457, dlinesl.size( ) = 2 s1 = 6105861, s2 = 7496457, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6105861, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 6105883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7472591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7472591, s2 = 5961227, int(edited[s2]) = 0 s1 = 7472591, s2 = 5961227, d1 = 25, d2 = 2 Dl.O(d1) = 266993025 Dl.O(d2) = 238515055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7472591, s2 = 5961227, dlinesl.size( ) = 24 s1 = 14816901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14816901, s2 = 7472640, int(edited[s2]) = 0 s1 = 14816901, s2 = 7472640, d1 = 26, d2 = 20 Dl.O(d1) = 267150862 Dl.O(d2) = 266993364 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7472641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7472641, s2 = 14816902, int(edited[s2]) = 0 s1 = 7472641, s2 = 14816902, d1 = 43, d2 = 49 Dl.O(d1) = 266993365 Dl.O(d2) = 267150863 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8971724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8971724, s2 = 10343869, int(edited[s2]) = 0 s1 = 8971724, s2 = 10343869, d1 = 60, d2 = 43 Dl.O(d1) = 274974840,274932858,267116884 Dl.O(d2) = 257928434,37954956,47873465,57855750,46499751,46499752,47873426,47873468,42182846,33222828,25474972,18873746,18873744,25474966,256378965,22058947,22058945,29389679,255262870,52541764,42182823,42182824,52541768,42798893,42798892,53251305,65240616,70557223,70557222,65084199,53098396,42647736,40495688,39783715,31104823,31104824,39783717,257826595,78447375,271583447,272405719,107079074,259082843,257837325,42902481,269832824,13846549,13846550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8971724, s2 = 10343869, dlinesl.size( ) = 48 s1 = 6125842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6125842, s2 = 8935368, int(edited[s2]) = 0 s1 = 6125842, s2 = 8935368, d1 = 36, d2 = 114 Dl.O(d1) = 242204183 Dl.O(d2) = 242204198,242559402,266955416,243487049,243198195,242890200,266793644,241820011,266793646,241820016,241820015,241403946,240954725,240954724,266731000,241820020,242204224,242204192,266662898,240954703,240469686,274664626,239383532,238772133,238106646,237375328,237375327,238106644,238772130,274664630,240469695,240954708,241403926,241819988,242204200,241820019,241403946,240954725,240469703,240469704,240954727,241403951,241403920,274723234,239947337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6125842, s2 = 8935368, dlinesl.size( ) = 32 s1 = 7779955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6108735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6108735, s2 = 8849120, int(edited[s2]) = 0 s1 = 6108735, s2 = 8849120, d1 = 55, d2 = 72 Dl.O(d1) = 241834152,242217380 Dl.O(d2) = 234321526,266378699,236237291,235323896,266324118,232004301,232004299,233220610,274663962,232004297,230653856,230653857,230653858,232004295,230653855,265853534,225460233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6108735, s2 = 8849120, dlinesl.size( ) = 40 s1 = 11661144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7486241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7474157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6112806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6112806, s2 = 16265652, int(edited[s2]) = 0 s1 = 6112806, s2 = 16265652, d1 = 87, d2 = 83 Dl.O(d1) = 241912980,242289804,242638728,242963665,243266976,243550752,267180602,243430290,243136923,242823923,267063400,241735728,241314001,241314000,241735725,242031245,242031244,242031246,241633228,241633227,242031244,242031246 Dl.O(d2) = 258941793,259847137,83184984,83184985,83210210,69679546,57061530,256792705,36111279,30129602,22746358,16537644,11526338,7667933,7667935,11526292,14645793,10074583,6645509,6642034,4158376,4158373,4157110,4156942,4156941,4156973,2484849,2484852,2515641,4206543,6713633,10217639,14857853,20726013,27850822,36256455,46041269,57315516,69964629,258855582,81525512,81525509,270641044,256247121,20466824,20776764,20776766,27759027,27759028,20760367,14880796,10232267,10232271,10172495,10172491,14789941,20518655,27536019,35430797,35430794,27640783,27640786,27668012,27697292,26244096,26244093,27539415,27691524,27870193,27642048,27642050,35944934,45600669,45627686,44969582,44969580,45799567,46048740,46048738,57324669,64526574,60010337,60010338,57354033,57354032,69819873,69819872,69353505,56777021,45619052,35956618,35956621,45619063,56777049,69353531,69549978,69373121,56983285,45779298,45779296,56983283,45955529,36194470,257371039,258603519,259220321,70017569,57366770,46083776,36288307,27873548,20741191,14867817,10224127,10224126,14867801,20740875,20740873,27872996,27549224,20528012,20389585,14633520,10128006,10128002,10058241,10058239,6679984,6611759,6611761,4181395,2499974,1442580,1442575,2500001,1452256,1452251,2520025,4214868,6722991,10232299,14880909,20760859,27903199,36332307,46145640,55899490,55899488,57370479,258376558,258359496,89645243,89645242,82606307,69079178,56537667,56537666,259833631,56731450,256786167,27635747,35934734,45586136,56731463,69297226,82817257,96772050,110833291,110263684,96086214,96086215,258777356,35453405,27315225,27315226,27325485,20378921,14872595,14872592,10237406,10237405,14888626,20748271,27320473,20758980,20631494,20369681,20369679,20759319,20759318,27901215,36330069,257377367,55525698,44664446,44664445,55525696,67876342,259174511,258608499,68871284,68871285,82396561,270722909,259827516,36330069,257377367,67876346,57394127,46105538,46105539,57394123,55526145,55526144,45767992,36060834,27717842,20757978,20757975,27360286,27360268,27360267,27835813,27835814,35515561,27543386,27543387,27344831,255767807,20472668,27460863,35506094,35506091,44971675,55929293,56568292,45457110,45457109,56304323,56304326,68805040,82330038,96338201,82393485,68868180,56359583,45306288,35743538,27512877,27512876,35743550,35934368,27635559,27635555,35934354,35641149,35641146,44876835,35437064,27303756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6112806, s2 = 16265652, dlinesl.size( ) = 28 s1 = 7786401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6094615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7489948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9638358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9638358, s2 = 7789290, int(edited[s2]) = 0 s1 = 9638358, s2 = 7789290, d1 = 14, d2 = 12 Dl.O(d1) = 241094736,241532470,241937531 Dl.O(d2) = 274953751,242966573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9638358, s2 = 7789290, dlinesl.size( ) = 20 s1 = 8951689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8951689, s2 = 5521663, int(edited[s2]) = 0 s1 = 8951689, s2 = 5521663, d1 = 162, d2 = 0 Dl.O(d1) = 242314507,267130451,242661414,242314508,241939999,241535054,241097557,240626127,240117754,239569359,266917269,267011969,241940000,267130455,242984959,242661415,242314508,241939999,241535054,241097557,240626127,240117754,266917267,274892815,243569983,243569971 Dl.O(d2) = 227038355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8951689, s2 = 5521663, dlinesl.size( ) = 46 s1 = 8950050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7785489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13943521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6114813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6132442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6116463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6116554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6116844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6116844, s2 = 9057940, int(edited[s2]) = 0 s1 = 6116844, s2 = 9057940, d1 = 101, d2 = 128 Dl.O(d1) = 242003949,242372159,242713654 Dl.O(d2) = 267709651,267709599,267708837,247900783,247897471,267706841,267705455,247870273,247862959,247855410,247847669,247840319,267700337,267699007,247809035,267696783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6116844, s2 = 9057940, dlinesl.size( ) = 26 s1 = 11661158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7475729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9641062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7491016, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6136277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6136496, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6119836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6137735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6137919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6137919, s2 = 8427180, int(edited[s2]) = 0 s1 = 6137919, s2 = 8427180, d1 = 55, d2 = 82 Dl.O(d1) = 242465062 Dl.O(d2) = 119881365,259026962,91416630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6137919, s2 = 8427180, dlinesl.size( ) = 34 s1 = 7470899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6121613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6138772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13924907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6140530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7452154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13922561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9055057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7787016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7477738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9728141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9728141, s2 = 11244214, int(edited[s2]) = 0 s1 = 9728141, s2 = 11244214, d1 = 81, d2 = 49 Dl.O(d1) = 265379930,265856758,274631340,266509490,240998587,266730754 Dl.O(d2) = 264195318,263516296,144689886,131463602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9728141, s2 = 11244214, dlinesl.size( ) = 40 s1 = 7786160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7786160, s2 = 8941145, int(edited[s2]) = 0 s1 = 7786160, s2 = 8941145, d1 = 67, d2 = 106 Dl.O(d1) = 274912492 Dl.O(d2) = 237498276,238217292,266653352,237498261,236705967,236705968,237498263,236705988,236705987,237498284,238217299,238872443,238872412,238217280,237498267,237498268,238217278,238217279,238217282,238217283,238872427,239474278,238872429,238217285,237498271,236705973,235836305,234881322,233832995,232681464,231407113,229985100,229985101,231407115,232681467,233832998,234881325,235836310,236705989,266578786,237498243,266409692,235836284,236705949,237498244,266578768,236705978,236705975,236705961,236705960,237498256,238217271,266578784,236705980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8966581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6130307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6130307, s2 = 16252017, int(edited[s2]) = 0 s1 = 6130307, s2 = 16252017, d1 = 38, d2 = 65 Dl.O(d1) = 242290394,242639337,242964354 Dl.O(d2) = 227487519,229195667,230705351,232050718,232050745,232050744,232050704,230705331,229195655,227487507,265500996,229195697,229195748,230705367,230705397,265501006,227487575,229195717,227487567,265933663,232050710,232050715,230705349,229195666,229195667,230705351,232050718,232050745,274446686,227487571,225533591,223287038,220688022,217632606,213971014,209510204,209510203,213971011,217632602,220688013,223287025,225533578,227487556,225533635,274323442,229195754,230705418,230705392,229195716,227487564,225533584,223287031,274249754,265645605,266059961,266071708,232050738,266071704,265947070,230705359,229195675,227487527,227487526,229195673,229195705,230705385,232050737,233262879,233262854,233262855,232050726,232050725,265947072,230705414,266187332,232050746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8975445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8975445, s2 = 9625468, int(edited[s2]) = 0 s1 = 8975445, s2 = 9625468, d1 = 15, d2 = 27 Dl.O(d1) = 243268646,242965219,242640195 Dl.O(d2) = 266861067,266803775,238931686,238931685,238931688,238281875,237568103,237568104,266741447,237568106,236781935,235918083,234970322,233928715,232785597,231520731,230109851,265736317,226711560,228520446,230109850,231520729,232785596,232522357,231230408,265220322,228166717,226317694,224194398,264248544,218892361,215512533,211422308,262759374,200368965,193207865,184864777,175310866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8975445, s2 = 9625468, dlinesl.size( ) = 2 s1 = 8975445, s2 = 9625468, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8975445, Dl.E( ) = 28, 2.79e-05 seconds used appending s1 = 8961514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8961514, s2 = 7182086, int(edited[s2]) = 0 s1 = 8961514, s2 = 7182086, d1 = 90, d2 = 106 Dl.O(d1) = 274904321,267304293,267240248,244068664,267147472,243278627,242975623 Dl.O(d2) = 263675106,213674681,262412198 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6148232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13914899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6148496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10291923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7491162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6149140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9315604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6134590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6134590, s2 = 9634569, int(edited[s2]) = 0 s1 = 6134590, s2 = 9634569, d1 = 0, d2 = 3 Dl.O(d1) = 242388198 Dl.O(d2) = 266906798,239452080,238847725,238190096,237467861,236672495,235799931,234841887,233790175,232634345,231355013,265860524,226484648,224379779,265193900,265194035,219134295,215791772,211750331,206804690,200819320,193727198,185456908,175980734,165283908,165283909,175980732,165283910,165283911,175980738,175980739,165283913,153487784,153487783,262701093,263890187,193727199,193727202,193727203,200819326,200819327,193727205,185456913,185456905,175980733,165283915,153487785,140807016,127447615,113572027,99556095,85605741,72017001,59279931,47883399,256379308,29381208,22050985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6134590, s2 = 9634569, dlinesl.size( ) = 2 s1 = 6134590, s2 = 9634569, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6134590, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7469364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6087046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6087046, s2 = 7952789, int(edited[s2]) = 0 s1 = 6087046, s2 = 7952789, d1 = 49, d2 = 46 Dl.O(d1) = 241366226,267077791 Dl.O(d2) = 8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,6376404,6376402,9695053,7682863,7682864,11548027,16566484,17118294,19664813,14095958,9694967,9694968,9694917,6376343,6376344,9694921,14095889,19657971,19658072,19658071,24772049,26391174,19656774,19656775,22617578,19656916,14089832,14089833,19656921,26391320,19662069,14093741,9693640,9693639,14093737,19662062,254537862,9758981,14196324,17445742,17445743,23389410,17117577,12029120,12029121,17117579,23389411,28274960,28274959,26389475,23461753,23393275,23390057,17118200,17118199,23390055,17124989,14904385,10247659,10247658,12034627,10703799,7071606,4452267,4452264,7071595,9689701,12557781,12557782,9693818,9693819,14094066,14096193,14096194,19665091,26398967,23179957,16915026,16915025,16915018,16914614,11838192,11145730,11145729,11838387,11093585,7357273,7357274,5181727,3161564,1850820,1056287,593917,331088,182315,100015,100017,182328,331131,594006,1056449,1851121,3162202,5183014,8089959,12033773,17123802,19455331,21467880,21467881,23604430,23389424,23389425,18338398,13017836,13017837,17121929,17121928,15466403,15466398,13473087,13473088,12945821,8807966,8807965,12945818,254442978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6087046, s2 = 7952789, dlinesl.size( ) = 2 s1 = 6087046, s2 = 7952789, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6087046, Dl.E( ) = 82, 1.91e-05 seconds used appending s1 = 8926069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8926069, s2 = 15248510, int(edited[s2]) = 0 s1 = 8926069, s2 = 15248510, d1 = 27, d2 = 22 Dl.O(d1) = 236195371,237031313,274821876,274869665 Dl.O(d2) = 274972216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8926069, s2 = 15248510, dlinesl.size( ) = 28 s1 = 9640471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9640471, s2 = 14154496, int(edited[s2]) = 0 s1 = 9640471, s2 = 14154496, d1 = 1, d2 = 1 Dl.O(d1) = 237806504,237806505,266823127,239719652,240259837,240760421,241223689,241652766,242049061,267139627,267173183,243363874,243641364,243899527,244140163,244363870,244570813,244763233,244943036,245112186,245270472,245418708,245558556,245689725,267488129,246036182,267523687,246326669,246412569,246359188,246269983,246174772,246075095,245969430,245856922,245737314,245609602,245472398,245326453,245326454 Dl.O(d2) = 237806504,237806505,266823127,239719652,240259837,240760421,241223689,241652766,242049061,267139627,267173183,243363874,243641364,243899527,244140163,244363870,244570813,244763233,244943036,245112186,245270472,245418708,245558556,245689725,267488129,246036182,267523687,246326669,246412569,246359188,246269983,246174772,246075095,245969430,245856922,245737314,245609602,245472398,245326453,245326454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9640471, s2 = 14154496, dlinesl.size( ) = 2 s1 = 9640471, s2 = 14154496, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9640471, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 6151728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7480138, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6152950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6152950, s2 = 7296191, int(edited[s2]) = 0 s1 = 6152950, s2 = 7296191, d1 = 42, d2 = 44 Dl.O(d1) = 242784090 Dl.O(d2) = 265103232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6152950, s2 = 7296191, dlinesl.size( ) = 36 s1 = 13913647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6153240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6153240, s2 = 2417882, int(edited[s2]) = 0 s1 = 6153240, s2 = 2417882, d1 = 9, d2 = 23 Dl.O(d1) = 242793234 Dl.O(d2) = 260259624,128989129,258454842,87000093,73384698,60638381,49237642,39310866,30713170,30713169,39310864,32928731,32928732,26438078,26438077,34316760,256089888,66014830,79383181,93520073,93520070,93520071,107957655,122383710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6153240, s2 = 2417882, dlinesl.size( ) = 2 s1 = 6153240, s2 = 2417882, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6153240, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 8976597, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6138865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7490467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6139361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9312678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7481193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7472594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7473743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8971082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6157837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6157837, s2 = 6495506, int(edited[s2]) = 0 s1 = 6157837, s2 = 6495506, d1 = 14, d2 = 33 Dl.O(d1) = 242890214 Dl.O(d2) = 255783636,97684451,257385502,138725473,151420949,163299439,151420944,151420945,151420951,151420950,151420951,138725474,258620040,151420948,151420949,163299439,151420944,151420945,151420951,138725474,258620040,258620036,257385500,97684451,257385502,138725473,151420949,163299439,259865130,163299440,174149332,183818690,188382334,179342121,169068834,271467250,259568738,118166336,104010847,89886074,76085597,63085611,51394143,255213870,24761728,18285065,12978238,12978239,18285067,24761729,32381677,41201712,51394144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6157837, s2 = 6495506, dlinesl.size( ) = 18 s1 = 7473219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7473219, s2 = 6226540, int(edited[s2]) = 0 s1 = 7473219, s2 = 6226540, d1 = 13, d2 = 10 Dl.O(d1) = 266998927,267083009 Dl.O(d2) = 244326708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7473219, s2 = 6226540, dlinesl.size( ) = 14 s1 = 6158600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6158600, s2 = 6089917, int(edited[s2]) = 0 s1 = 6158600, s2 = 6089917, d1 = 33, d2 = 34 Dl.O(d1) = 242904884 Dl.O(d2) = 241423578,240976357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6158600, s2 = 6089917, dlinesl.size( ) = 38 s1 = 6159447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9634568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8980529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8980529, s2 = 6028969, int(edited[s2]) = 0 s1 = 8980529, s2 = 6028969, d1 = 30, d2 = 57 Dl.O(d1) = 243258839,243258840,243543272,243543268,267193585 Dl.O(d2) = 241048512,240572332,240059587,240059586,240572326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8980529, s2 = 6028969, dlinesl.size( ) = 58 s1 = 9054846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8929126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6161328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6175708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6175708, s2 = 15074770, int(edited[s2]) = 0 s1 = 6175708, s2 = 15074770, d1 = 20, d2 = 29 Dl.O(d1) = 243262139,242958061,242958062,243262141,242958063,242958060,267161856,243546424,243262144,242958066 Dl.O(d2) = 231488507,230075983,228484533,226673097,224593825,222199268,219410008,216108188,212122633,207244528,207244529,264524122,207244530,207244532,212122638,264778238,222199279,224593837,274414008,224593827,222199270,219410012,219410011,216108191,212122634,207244528,201328849,194300076,273363183,166038337,166038336,154286432,141631316,128281384,260036773,86427078,72832118,60094850,269067428,22802453,16585370,11565556,11565555,16585366,22802445,30192653,37391400,29212203,21898059,16031955,16031954,22151624,23487562,17203627,17203624,17203589,12098160,8136564,8136562,12098153,13321881,9101858,9101861,13321893,18715217,25288137,24652822,24652824,32251997,41045149,50025043,40006501,31328404,23837040,17497378,17497380,23837043,31328405,40006502,50025080,61503251,74280071,87882394,84262801,258020343,46618389,36730434,28236151,21038296,15111280,10423162,10423164,15111286,21038306,21585402,28858838,37400110,46618374,57994461,70711339,70711340,84262797,98156964,100098065,86130701,72531389,59796266,48411427,38505587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6175708, s2 = 15074770, dlinesl.size( ) = 2 s1 = 6175708, s2 = 15074770, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6175708, Dl.E( ) = 32, 1.12e-05 seconds used appending s1 = 6176030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10292699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6095028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6147411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6147411, s2 = 7192783, int(edited[s2]) = 0 s1 = 6147411, s2 = 7192783, d1 = 10, d2 = 56 Dl.O(d1) = 242656200 Dl.O(d2) = 228002122,226140498,224001351,221532567,218652369,215230962,211077864,205996670,263834915,184130848,174483247,163648270,151773792,139072217,125733182,111915174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6147411, s2 = 7192783, dlinesl.size( ) = 36 s1 = 8943658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10293091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10293091, s2 = 13353602, int(edited[s2]) = 0 s1 = 10293091, s2 = 13353602, d1 = 59, d2 = 62 Dl.O(d1) = 267244516 Dl.O(d2) = 1244525,1244524,2151614,3604823,5694725,5694724,8746870,8746871,12861814,18137763,24580725,19085552,19085550,15195478,10481154,6910445,6910443,6867302,6867303,10417255,15103546,21027983,15499557,10719031,7081827,4458688,2678525,254160030,254336092,15499531,21508202,28768818,37302105,47208984,38521720,29956704,22592331,22592330,29956702,38521718,256185636,38616631,30042775,30042774,38616629,48531784,43312179,43312178,43312197,268665190,30028558,38601844,34211181,255305540,39337266,43312787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10293091, s2 = 13353602, dlinesl.size( ) = 2 s1 = 10293091, s2 = 13353602, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10293091, Dl.E( ) = 102, 3e-05 seconds used appending s1 = 6149780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7471187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7471187, s2 = 7534012, int(edited[s2]) = 0 s1 = 7471187, s2 = 7534012, d1 = 22, d2 = 43 Dl.O(d1) = 266978616 Dl.O(d2) = 245678176,267542671,267568481,267561380,246769761,246769762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7471187, s2 = 7534012, dlinesl.size( ) = 26 s1 = 6165282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16153433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6150812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8978849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7466364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6151652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6151682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6151682, s2 = 14156252, int(edited[s2]) = 0 s1 = 6151682, s2 = 14156252, d1 = 0, d2 = 6 Dl.O(d1) = 242755127 Dl.O(d2) = 246138544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6151682, s2 = 14156252, dlinesl.size( ) = 2 s1 = 6151682, s2 = 14156252, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6151682, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 13985607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9723727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9723727, s2 = 6167501, int(edited[s2]) = 0 s1 = 9723727, s2 = 6167501, d1 = 62, d2 = 61 Dl.O(d1) = 10399043,6855061,4302114,254224664,254497734,16731224,22967058,30368495,38954668,48874297,60266724,73001820,86599209,98828065,84901569,71328342,71328343,63975245,63975244,58595267,47204665,47204666,46748623,42301386,42301385,52688165,59383890,256439758,38081977,46488599,36621968,28148060,20969606,15059615,10384986,10384985,15059613,17941207,22656883,23821858,23821860,31310548,26264146,26264147,254906974,16174500,22319458,29670639 Dl.O(d2) = 243088997,243383839,243659528,243915752,244154340,244376246,274997997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9723727, s2 = 6167501, dlinesl.size( ) = 2 s1 = 9723727, s2 = 6167501, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9723727, Dl.E( ) = 66, 1.69e-05 seconds used appending s1 = 9725231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6167502, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8976499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8976499, s2 = 14631877, int(edited[s2]) = 0 s1 = 8976499, s2 = 14631877, d1 = 50, d2 = 84 Dl.O(d1) = 267260625,274944292 Dl.O(d2) = 223282744,265206008,273239103,271996838,114022953,259045740,29831925,22464589,16296298,16296297,13623609,9328787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8976499, s2 = 14631877, dlinesl.size( ) = 64 s1 = 8984780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6082457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7484335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6154247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6154247, s2 = 10646190, int(edited[s2]) = 0 s1 = 6154247, s2 = 10646190, d1 = 101, d2 = 85 Dl.O(d1) = 242816970,242796398,267177233 Dl.O(d2) = 120102904,133944795,147167258,159526590,170855124,180975189,185947433,176517528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6154247, s2 = 10646190, dlinesl.size( ) = 2 s1 = 6154247, s2 = 10646190, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6154247, Dl.E( ) = 102, 4.6e-05 seconds used appending s1 = 10290124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6168387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6168387, s2 = 5153291, int(edited[s2]) = 0 s1 = 6168387, s2 = 5153291, d1 = 37, d2 = 65 Dl.O(d1) = 243113050 Dl.O(d2) = 134970151,148092543,160336224,171539377,261939348,272730965,171539380,181538845,190317762,197898106,197898102,263694526,181538842,171539379,160336226,148092544,148092543,160336224,171539377,261939348,272730965,171539380,181538845,190317762,197898106,197898102,263694526,190317760,263694526,181538842,171539379,171539378,181538843,190317761,197898103,204358366,274051967,214167505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6168387, s2 = 5153291, dlinesl.size( ) = 16 s1 = 6153596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6168448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6153951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6139380, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6139663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7495264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8971738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6157898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10302344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6158501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6158895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6158895, s2 = 11495962, int(edited[s2]) = 0 s1 = 6158895, s2 = 11495962, d1 = 29, d2 = 86 Dl.O(d1) = 242911039 Dl.O(d2) = 272941155,263286125,187863490,195803222,264840269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6158895, s2 = 11495962, dlinesl.size( ) = 26 s1 = 13933149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7785628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6159610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8952083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8952083, s2 = 10361916, int(edited[s2]) = 0 s1 = 8952083, s2 = 10361916, d1 = 58, d2 = 86 Dl.O(d1) = 274800287 Dl.O(d2) = 267376904,244585042,267313288,267107496,267107498,266982574,266828150 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6174423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6174423, s2 = 5564468, int(edited[s2]) = 0 s1 = 6174423, s2 = 5564468, d1 = 17, d2 = 1 Dl.O(d1) = 243239443 Dl.O(d2) = 228345661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6174423, s2 = 5564468, dlinesl.size( ) = 2 s1 = 6174423, s2 = 5564468, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6174423, Dl.E( ) = 30, 8.82e-06 seconds used appending s1 = 6160265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6188278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6188278, s2 = 7143244, int(edited[s2]) = 0 s1 = 6188278, s2 = 7143244, d1 = 50, d2 = 49 Dl.O(d1) = 243531852,243246748 Dl.O(d2) = 263158195,193968617,201030743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6188278, s2 = 7143244, dlinesl.size( ) = 2 s1 = 6188278, s2 = 7143244, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6188278, Dl.E( ) = 66, 3.41e-05 seconds used appending s1 = 7486114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7486114, s2 = 6188556, int(edited[s2]) = 0 s1 = 7486114, s2 = 6188556, d1 = 21, d2 = 16 Dl.O(d1) = 267125917 Dl.O(d2) = 243537315 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8969769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7496456, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6162896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9644759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9644759, s2 = 7430653, int(edited[s2]) = 0 s1 = 9644759, s2 = 7430653, d1 = 50, d2 = 28 Dl.O(d1) = 274772679,274831331,267046087,267123731,267185782,243297857 Dl.O(d2) = 266579352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9644759, s2 = 7430653, dlinesl.size( ) = 28 s1 = 6236219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7485335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9313124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8983734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6149999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6149999, s2 = 5386798, int(edited[s2]) = 0 s1 = 6149999, s2 = 5386798, d1 = 35, d2 = 11 Dl.O(d1) = 242715574,242715575,243033836 Dl.O(d2) = 222766386,274428035,274072952,216865477,213007060,208287468,202565437,195756788,272780064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6149999, s2 = 5386798, dlinesl.size( ) = 22 s1 = 6165232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7500006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7500006, s2 = 8886937, int(edited[s2]) = 0 s1 = 7500006, s2 = 8886937, d1 = 72, d2 = 146 Dl.O(d1) = 267258868 Dl.O(d2) = 266041739,228915807,227161300,265454145,222839899,222839903,225151724,227161309,228915818,266041741,231838150,230462889,265773525,265454135,216979272,216979271,265270099,225151666,227161205,227161219,227161221,227161230,265454127,222839870,225151675,227161225,227161191,225151654,225151655,227161198,265773533,230462933,266159909,230462888,231838148,233075339,234193960,235210871,234193989,233075380,231838186,231838185,233075376,231838202,266159919,233075410,231838237,230462981,230462905,266041727,266268121,231838235,230462976,228915806,227161299,265454143,220154351,220154352,222839899,222839903,225151724,227161309,228915818,266041741,231838150,231838149,233075348,231838151,230462890,265773525,265454135,216979269,216979270,220154339,265454137,265773527,265913289,227161276,225151704,225151703,227161274,228915773,230462940,231838190,233075326,231838121,230462861,228915735,265621157,222839878,220154342,216979275,216979277,220154344,222839883,225151699,227161270,228915769,230462908,228915747,227161260,225151694,225151695,227161263,228915754,230462911,231838165,231838166,233075360,233075401,231838222,230462967,228915794,227161287,225151712,222839892,220154348,220154350,222839897,225151718,227161298,228915804,230462975,231838228,231838227,231838118,230462860,228915695,265913273,231838116,231838133,230462872,228915708,227161212,225151668,222839865,222839867,265621151,225151684,225151685,227161242,228915730,230462899,231838158,231838242,230462984,228915815,227161305,225151720,222839901,220154353,216979282,213152022,208470898,208470899,213152023,265270103,222839886,265068009,208470896,202791139,196028587,274348082,213152015,216979262,213152008,264844461,220154320,222839848,225151655,227161198,225151702,225151699,227161270,228915769,230462908,228915747,227161260,225151694,225151693,227161254,265913287,231838168,231838240,231838193,230462942,265773535,225151707,222839886,222839885,225151705,227161277,227161288,225151713,222839893,220154349,220154350,222839897,225151718,227161298,228915804,230462975,231838228,231838227,231838118,230462860,228915695,227161202,265454121,222839853,220154356,216979284,213152024,213152023,216979283,216979286,264597677,202791142,196028588,188128361,262876089,144930993,263162086,18184185,13007747,13007748,17476520,12321668,8322773,5370416,3301482,1941748,1941749,2118630,2118631,3556024,5712851,4543764,2731396,1582665,899751,899754,1582680,2731429,4543815,4291843,2565986,2565988,2565998,254325777,6840212,10380191,15054361,20964042,268602307,268710749,8772359,8772360,12897152,15481549,15481548,255156541,12124778,17242045,23550058,28620253,28620252,268301562,32116321,24538899,24198853,24198852,31706343,258264017,50090115,40068854,31663392,24152682,24152683,24258862,17881362,12665208,12665209,11529475,7669834,4852874,2924367,2924368,4852876,7669837,11529476,254219202,9798070,14255118,19132842,13661505,9537733,6257075,6257073,9537725,13898566,19425154,20352781,20352782,15593733,15593732,21624364,23593183,17281047,12160133,12160131,17281042,23593179,30108457,22727587,22727588,18721629,13327174,9106045,5958369,5958367,9106038,13327158,18721598,19439736,26135553,19464826,13930099,13930100,13674111,9364179,6133845,6133844,9364173,10050704,10050707,14606429,13730009,13730010,19220810,14610281,14610282,19689366,19689365,20354067,14932850,10269653,10269651,7101633,6748743,4766975,4766976,6748669,5942279,5942276,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511674,16518067,17453241,20840083,28004727,28028940,20861711,20861712,28004720,28004719,30247823,27987884,27987883,30367202,38953428,36608155,36608156,36608159,28134357,20956391,15047482,10374425,10374426,15047483,15593013,268063532,37439157,256277526,270299351,112949576,126803521 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8968216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6135185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8976213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7487532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6152334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6101407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6101407, s2 = 8967308, int(edited[s2]) = 0 s1 = 6101407, s2 = 8967308, d1 = 0, d2 = 21 Dl.O(d1) = 241672724,242067872,267141705,243084286 Dl.O(d2) = 243087466,242773385,242436116,242073174,241679268,241252833,240792132,240295244,239759712,239179199,238546729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6101407, s2 = 8967308, dlinesl.size( ) = 8 s1 = 8973817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7455595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7455595, s2 = 11653546, int(edited[s2]) = 0 s1 = 7455595, s2 = 11653546, d1 = 14, d2 = 29 Dl.O(d1) = 266827832,266934440,267145065 Dl.O(d2) = 244934256,267393148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 8974065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9313108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9313108, s2 = 14810060, int(edited[s2]) = 0 s1 = 9313108, s2 = 14810060, d1 = 40, d2 = 42 Dl.O(d1) = 239284863,239857662,239625538,239625536,266942105,266813512,237234604,274826369,240386436,274873319,242501812,242837264,267267565,267267562 Dl.O(d2) = 266452392,233447088,274568140,265819322,265510582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9313108, s2 = 14810060, dlinesl.size( ) = 32 s1 = 7498057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6170357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6170357, s2 = 7442202, int(edited[s2]) = 0 s1 = 6170357, s2 = 7442202, d1 = 0, d2 = 25 Dl.O(d1) = 243159169 Dl.O(d2) = 266695662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6170357, s2 = 7442202, dlinesl.size( ) = 46 s1 = 6184265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7488686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7488686, s2 = 6526086, int(edited[s2]) = 0 s1 = 7488686, s2 = 6526086, d1 = 93, d2 = 124 Dl.O(d1) = 267151053 Dl.O(d2) = 262927666,260864182,269497954,8480332,255580707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7488686, s2 = 6526086, dlinesl.size( ) = 40 s1 = 9729783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7789736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7489341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6158294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6186791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7511632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7489427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7489427, s2 = 7359680, int(edited[s2]) = 0 s1 = 7489427, s2 = 7359680, d1 = 26, d2 = 8 Dl.O(d1) = 267158431,243234766,243520669 Dl.O(d2) = 265825618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7489427, s2 = 7359680, dlinesl.size( ) = 14 s1 = 6174208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7496429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9722785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9722785, s2 = 9658205, int(edited[s2]) = 0 s1 = 9722785, s2 = 9658205, d1 = 1, d2 = 1 Dl.O(d1) = 229956279,229956280,231381350,232658609,233812687,234862652,235819235,236690223,237484052,238204714,238861170,266854403,240538571,241018204,241462246,241874555,242254944,242607028,242934663,243240156,243525643,243790752,267300865,244477927,267365991,245036696,245200410,245353661,267453165,245759353,245877640,245988884,246093189,246191980,246286330,246374801,246458276,246537232,246612444,246682406,246748075,246810641,246870985,246929035,246984392,247036626,247084802,247128404,247167914,247204295,247238942,247272316,247303750,247332799,247359648,247385198,247409878,247434024,247457246,247479313,247500253,247520180 Dl.O(d2) = 229956279,229956280,231381350,232658609,233812687,234862652,235819235,236690223,237484052,238204714,238861170,266854403,240538571,241018204,241462246,241874555,242254944,242607028,242934663,243240156,243525643,243790752,267300865,244477927,267365991,245036696,245200410,245353661,267453165,245759353,245877640,245988884,246093189,246191980,246286330,246374801,246458276,246537232,246612444,246682406,246748075,246810641,246870985,246929035,246984392,247036626,247084802,247128404,247167914,247204295,247238942,247272316,247303750,247332799,247359648,247385198,247409878,247434024,247457246,247479313,247500253,247520180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9722785, s2 = 9658205, dlinesl.size( ) = 2 s1 = 9722785, s2 = 9658205, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9722785, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6188554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6188554, s2 = 7486113, int(edited[s2]) = 0 s1 = 6188554, s2 = 7486113, d1 = 4, d2 = 12 Dl.O(d1) = 243537313 Dl.O(d2) = 267222786,267125916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6188554, s2 = 7486113, dlinesl.size( ) = 2 s1 = 6188554, s2 = 7486113, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6188554, Dl.E( ) = 16, 4.05e-06 seconds used appending s1 = 8975307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8994172, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7489715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7489715, s2 = 11464454, int(edited[s2]) = 0 s1 = 7489715, s2 = 11464454, d1 = 57, d2 = 68 Dl.O(d1) = 267161111 Dl.O(d2) = 274410561,265867181,226564387,224469459,274276695,215923077,265203131,265203129,215923077,211903520,264710228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7489715, s2 = 11464454, dlinesl.size( ) = 8 s1 = 8963113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8963113, s2 = 3487314, int(edited[s2]) = 0 s1 = 8963113, s2 = 3487314, d1 = 87, d2 = 1 Dl.O(d1) = 240148466,266912834 Dl.O(d2) = 115236299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8963113, s2 = 3487314, dlinesl.size( ) = 44 s1 = 6189219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6190024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8959723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8959723, s2 = 7534750, int(edited[s2]) = 0 s1 = 8959723, s2 = 7534750, d1 = 63, d2 = 73 Dl.O(d1) = 240620079,267011329,241529935,274915935 Dl.O(d2) = 246550329,246550328,267575043,267589159 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7452505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8963861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8963861, s2 = 12930025, int(edited[s2]) = 0 s1 = 8963861, s2 = 12930025, d1 = 158, d2 = 179 Dl.O(d1) = 232997768,234124279,235149254,236081840,274858240,239044835,239633853,266971459,241581416,267134067,243014859,243287309,267098106,242314236,242314237,266971456,241734016,274879735,266917167,267011903 Dl.O(d2) = 139928884,126564642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8963861, s2 = 12930025, dlinesl.size( ) = 66 s1 = 10293618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6178799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6178799, s2 = 7211728, int(edited[s2]) = 0 s1 = 6178799, s2 = 7211728, d1 = 52, d2 = 46 Dl.O(d1) = 243324417,267169069,241993235 Dl.O(d2) = 264635500,223989328,264064074,263354970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6178799, s2 = 7211728, dlinesl.size( ) = 18 s1 = 7505448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7505448, s2 = 11552280, int(edited[s2]) = 0 s1 = 7505448, s2 = 11552280, d1 = 25, d2 = 40 Dl.O(d1) = 267309288 Dl.O(d2) = 242719626,267100554,241180953,266990642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7505448, s2 = 11552280, dlinesl.size( ) = 34 s1 = 6192672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6192672, s2 = 6117445, int(edited[s2]) = 0 s1 = 6192672, s2 = 6117445, d1 = 25, d2 = 1 Dl.O(d1) = 243618044 Dl.O(d2) = 242019375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6192672, s2 = 6117445, dlinesl.size( ) = 30 s1 = 7505488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6192906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6193978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6101526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7508741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7508741, s2 = 8856833, int(edited[s2]) = 0 s1 = 7508741, s2 = 8856833, d1 = 96, d2 = 109 Dl.O(d1) = 267339346,274931978,243673683,243400567 Dl.O(d2) = 223378289,225613482,227557314,264924766,227557316,264686850,229257648,229257649,227557306,225613477,223378282,220792442,217755330,217755331,263802964,217755336,214116015,272780444,197805136,190205365,259790848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7508741, s2 = 8856833, dlinesl.size( ) = 42 s1 = 6195128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6195128, s2 = 1685701, int(edited[s2]) = 0 s1 = 6195128, s2 = 1685701, d1 = 51, d2 = 85 Dl.O(d1) = 243674138 Dl.O(d2) = 42715922,33685872,33685871,42121583,42121582,256291020,77512591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6195128, s2 = 1685701, dlinesl.size( ) = 70 s1 = 8983779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8983779, s2 = 10523012, int(edited[s2]) = 0 s1 = 8983779, s2 = 10523012, d1 = 81, d2 = 140 Dl.O(d1) = 244175368 Dl.O(d2) = 192946715,263040146,273325467,184558506,192946717,184558516,174952423,164131337,261569326,126138260,126138262,261631985,164131340,174952427,184558519,192946729,200142171,264218247,263544811,185611136,193867631,273864927,211849443,264503507,264503505,264431078,193867629,193867628,200945925,206218380,264218247,263544811,176149630,165470933,263481519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8983779, s2 = 10523012, dlinesl.size( ) = 58 s1 = 6182944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6183374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6183374, s2 = 8989429, int(edited[s2]) = 0 s1 = 6183374, s2 = 8989429, d1 = 2, d2 = 12 Dl.O(d1) = 243439118 Dl.O(d2) = 244579125,244579126,244373265,244151121,243912343,243655836,243379544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6183374, s2 = 8989429, dlinesl.size( ) = 2 s1 = 6183374, s2 = 8989429, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6183374, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 6196491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8987992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6196602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6196602, s2 = 8906599, int(edited[s2]) = 0 s1 = 6196602, s2 = 8906599, d1 = 9, d2 = 9 Dl.O(d1) = 243713736,243441424,243148562,274910890,242500330,242139709,241750747,241329697,240875168,266836234,239855487,239282385,238659303,237979437,237231732,236410544,235511427,234526019,233444523,232253781,265954265,227804916,225917275,223753304,221256610,218342103,214874064,210658899,205499193,199262307,191891353,183323008,173522409,162484851 Dl.O(d2) = 243713736,243441424,243148562,274910890,242500330,242139709,241750747,241329697,240875168,266836234,239855487,239282385,238659303,237979437,237231732,236410544,235511427,234526019,233444523,232253781,265954265,227804916,225917275,223753304,221256610,218342103,214874064,210658899,205499193,199262307,191891353,183323008,173522409,162484851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6196602, s2 = 8906599, dlinesl.size( ) = 2 s1 = 6196602, s2 = 8906599, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6196602, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 6183659, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6183777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6183777, s2 = 6183778, int(edited[s2]) = 0 s1 = 6183777, s2 = 6183778, d1 = 6, d2 = 7 Dl.O(d1) = 243447916 Dl.O(d2) = 243447917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6183777, s2 = 6183778, dlinesl.size( ) = 12 s1 = 7790313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8991344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6186236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6186236, s2 = 9005697, int(edited[s2]) = 0 s1 = 6186236, s2 = 9005697, d1 = 1, d2 = 87 Dl.O(d1) = 243493608 Dl.O(d2) = 246673799,246603146,267528030,267528028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6186236, s2 = 9005697, dlinesl.size( ) = 66 s1 = 7492499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7492875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7492875, s2 = 14180515, int(edited[s2]) = 0 s1 = 7492875, s2 = 14180515, d1 = 9, d2 = 16 Dl.O(d1) = 267192295 Dl.O(d2) = 274983205,244047550,243802358,243538280,243253656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7492875, s2 = 14180515, dlinesl.size( ) = 2 s1 = 7492875, s2 = 14180515, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7492875, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 9727592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8951177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6129866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13941321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13933847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8966738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13944363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13932851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6147585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7493369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6203472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6203472, s2 = 5856313, int(edited[s2]) = 0 s1 = 6203472, s2 = 5856313, d1 = 14, d2 = 11 Dl.O(d1) = 243841005,243841006,243579653,243297975,242996414,242996415 Dl.O(d2) = 236024071,235084504,234051161,234051160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6203472, s2 = 5856313, dlinesl.size( ) = 2 s1 = 6203472, s2 = 5856313, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6203472, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 7499668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7499668, s2 = 6148546, int(edited[s2]) = 0 s1 = 7499668, s2 = 6148546, d1 = 8, d2 = 1 Dl.O(d1) = 267255613,243583451,243302207,267152350 Dl.O(d2) = 242679622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7499668, s2 = 6148546, dlinesl.size( ) = 2 s1 = 7499668, s2 = 6148546, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7499668, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 6203686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6203686, s2 = 7084947, int(edited[s2]) = 0 s1 = 6203686, s2 = 7084947, d1 = 64, d2 = 99 Dl.O(d1) = 243844993 Dl.O(d2) = 260712822,187141727,262336598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6203686, s2 = 7084947, dlinesl.size( ) = 44 s1 = 6205085, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7503134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7503134, s2 = 11510206, int(edited[s2]) = 0 s1 = 7503134, s2 = 11510206, d1 = 111, d2 = 100 Dl.O(d1) = 267288598 Dl.O(d2) = 264072377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7503134, s2 = 11510206, dlinesl.size( ) = 26 s1 = 8973771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6167543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13937333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9641707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10296720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6195995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8989428, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13986195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7783358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7783358, s2 = 11233410, int(edited[s2]) = 0 s1 = 7783358, s2 = 11233410, d1 = 63, d2 = 86 Dl.O(d1) = 274874727,242867564,243176864,243467015,243737172 Dl.O(d2) = 259726612,112231630,98253409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7783358, s2 = 11233410, dlinesl.size( ) = 2 s1 = 7783358, s2 = 11233410, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7783358, Dl.E( ) = 94, 4.51e-05 seconds used appending s1 = 8995224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6198363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7504078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9656586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7496560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6211301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6211301, s2 = 13252872, int(edited[s2]) = 0 s1 = 6211301, s2 = 13252872, d1 = 43, d2 = 58 Dl.O(d1) = 244016748,243768896 Dl.O(d2) = 31835082,24316314,17930162,12704368,12704369,17930164,24316320,31835087,39516654,39516653,39401645,39401644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6211301, s2 = 13252872, dlinesl.size( ) = 14 s1 = 7352970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10294156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6201260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7505368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7505368, s2 = 5951372, int(edited[s2]) = 0 s1 = 7505368, s2 = 5951372, d1 = 0, d2 = 0 Dl.O(d1) = 267308682,267284272,243552794,243269092,242965654,242640664,242640658,242291807,242291808,242640659,242965646,242965657,242640666,242291813,241915102,241915104,242291812,242640658,242291807,242291808,242640659,242965646,242965657,242640666,242640657,242291816,242291815,242640656,267162763,267224669,243816305,243552790,243269089,242965651,242640663,242291811,241915100,241507199,241507198,241915098,242291806,242291805,242291807,242291808,242640659,242965646,267224671,242965650,242965649,243269087,243269094,242965656,242640666,242640657,242291816,241915106,241507201,266973286,240592658,240592654,240081536,240081535,266963155,241066904,240592657,240081540,240081539,240592655,274878903,240081537,239530012,238932859,238283265,237569671,236783813,235920154,234972725 Dl.O(d2) = 267308682,267284272,243552794,243269092,242965654,242640664,242640658,242291807,242291808,242640659,242965646,242965657,242640666,242291813,241915102,241915104,242291812,242640658,242291807,242291808,242640659,242965646,242965657,242640666,242640657,242291816,242291815,242640656,267162763,267224669,243816305,243552790,243269089,242965651,242640663,242291811,241915100,241507199,241507198,241915098,242291806,242291805,242291807,242291808,242640659,242965646,267224671,242965650,242965649,243269087,243269094,242965656,242640666,242640657,242291816,241915106,241507201,266973286,240592658,240592654,240081536,240081535,266963155,241066904,240592657,240081540,240081539,240592655,274878903,240081537,239530012,238932859,238283265,237569671,236783813,235920154,234972725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7505368, s2 = 5951372, dlinesl.size( ) = 2 s1 = 7505368, s2 = 5951372, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7505368, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6203148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7496579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7496579, s2 = 8911185, int(edited[s2]) = 0 s1 = 7496579, s2 = 8911185, d1 = 54, d2 = 47 Dl.O(d1) = 267226969,243837001,244079803,244079804 Dl.O(d2) = 234078612,235109576,236046708,236046718,235109582,266255731,231694811,231694810,232946072,234078612,235109576,236046708,236046718,235109582,266255731,231694811,265897445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7496579, s2 = 8911185, dlinesl.size( ) = 28 s1 = 7518184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8985160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8983154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10362240, s2 = 7465654, int(edited[s2]) = 0 s1 = 10362240, s2 = 7465654, d1 = 29, d2 = 30 Dl.O(d1) = 244334318 Dl.O(d2) = 266924472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10362240, s2 = 7465654, dlinesl.size( ) = 30 s1 = 13938543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6256796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6206448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6206448, s2 = 7517073, int(edited[s2]) = 0 s1 = 6206448, s2 = 7517073, d1 = 0, d2 = 111 Dl.O(d1) = 243910592 Dl.O(d2) = 244165035,244386014,267357329,267413783,267446657,267413789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6206448, s2 = 7517073, dlinesl.size( ) = 52 s1 = 7497432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7497432, s2 = 11638062, int(edited[s2]) = 0 s1 = 7497432, s2 = 11638062, d1 = 21, d2 = 23 Dl.O(d1) = 267235499 Dl.O(d2) = 267604666,246842753,246780537,267578066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7497432, s2 = 11638062, dlinesl.size( ) = 36 s1 = 6214141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6218198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7487852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6207064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6218987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8983516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6230210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6219782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6219782, s2 = 7264634, int(edited[s2]) = 0 s1 = 6219782, s2 = 7264634, d1 = 71, d2 = 72 Dl.O(d1) = 244197245 Dl.O(d2) = 264732552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6219782, s2 = 7264634, dlinesl.size( ) = 66 s1 = 6219888, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9655450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7787587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7787587, s2 = 3953960, int(edited[s2]) = 0 s1 = 7787587, s2 = 3953960, d1 = 246, d2 = 43 Dl.O(d1) = 274932036,243971737,244205346,244422233,267317141,243971683,267293707,274999198,244989318 Dl.O(d2) = 142831826 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8979777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6231605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6231605, s2 = 11340144, int(edited[s2]) = 0 s1 = 6231605, s2 = 11340144, d1 = 198, d2 = 168 Dl.O(d1) = 244437273,244221256,244221255 Dl.O(d2) = 260801151,272661817,131701044,126920360,126920361,261679719,164788427,175537105,168800551,157362152,261371141,117873961,117873962,272329893,262412309,263256279,273605199,262807530,273383594,116430804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6231605, s2 = 11340144, dlinesl.size( ) = 2 s1 = 6231605, s2 = 11340144, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6231605, Dl.E( ) = 200, 5.2e-05 seconds used appending s1 = 7792574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7792574, s2 = 8971739, int(edited[s2]) = 0 s1 = 7792574, s2 = 8971739, d1 = 72, d2 = 97 Dl.O(d1) = 274994046,267341421,267381817,245169099,245324517,267479369,245967655 Dl.O(d2) = 243180192,242871413,242539417,267079180,266994604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7792574, s2 = 8971739, dlinesl.size( ) = 88 s1 = 6210017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6210017, s2 = 14155838, int(edited[s2]) = 0 s1 = 6210017, s2 = 14155838, d1 = 15, d2 = 7 Dl.O(d1) = 243992258,244224553 Dl.O(d2) = 245809197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6210017, s2 = 14155838, dlinesl.size( ) = 2 s1 = 6210017, s2 = 14155838, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6210017, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 7498420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8977499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9651850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6223268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6212221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6212221, s2 = 7509643, int(edited[s2]) = 0 s1 = 6212221, s2 = 7509643, d1 = 1, d2 = 31 Dl.O(d1) = 244033700 Dl.O(d2) = 267347276,244609532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6212221, s2 = 7509643, dlinesl.size( ) = 30 s1 = 10289897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10294451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6212494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6223664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6223664, s2 = 5195610, int(edited[s2]) = 0 s1 = 6223664, s2 = 5195610, d1 = 16, d2 = 0 Dl.O(d1) = 244270114 Dl.O(d2) = 215917544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6223664, s2 = 5195610, dlinesl.size( ) = 2 s1 = 6223664, s2 = 5195610, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6223664, Dl.E( ) = 40, 1.31e-05 seconds used appending s1 = 7499153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7499177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9315887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6214398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7507491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8978523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7499823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6204414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6215914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6215914, s2 = 5765881, int(edited[s2]) = 0 s1 = 6215914, s2 = 5765881, d1 = 2, d2 = 0 Dl.O(d1) = 244103769 Dl.O(d2) = 233771487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6215914, s2 = 5765881, dlinesl.size( ) = 20 s1 = 6216054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6226830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6226830, s2 = 11189124, int(edited[s2]) = 0 s1 = 6226830, s2 = 11189124, d1 = 72, d2 = 0 Dl.O(d1) = 244332740 Dl.O(d2) = 62078599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6226830, s2 = 11189124, dlinesl.size( ) = 80 s1 = 13931651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7490672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6227220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6227581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7500285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8981400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8981400, s2 = 8688481, int(edited[s2]) = 0 s1 = 8981400, s2 = 8688481, d1 = 145, d2 = 134 Dl.O(d1) = 267523766,267488270,267287604,244142683,267234284 Dl.O(d2) = 272991444 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7514849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7514849, s2 = 8735475, int(edited[s2]) = 0 s1 = 7514849, s2 = 8735475, d1 = 105, d2 = 123 Dl.O(d1) = 267394350 Dl.O(d2) = 264305829,263867772,156310105,143785487,272620045,130456968,130456967,143785437,156310039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7514849, s2 = 8735475, dlinesl.size( ) = 96 s1 = 8983570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6228890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8979187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6229241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6229241, s2 = 6173971, int(edited[s2]) = 0 s1 = 6229241, s2 = 6173971, d1 = 13, d2 = 5 Dl.O(d1) = 244385085 Dl.O(d2) = 243232349,267108440 Dl.To( xleft[d1] ).size( ) = 5 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6218770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7500716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6219665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7486499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7486499, s2 = 11661193, int(edited[s2]) = 0 s1 = 7486499, s2 = 11661193, d1 = 3, d2 = 4 Dl.O(d1) = 267129472,243975402,244208833 Dl.O(d2) = 267520566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7486499, s2 = 11661193, dlinesl.size( ) = 2 s1 = 7486499, s2 = 11661193, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7486499, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 7501063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7501063, s2 = 14314307, int(edited[s2]) = 0 s1 = 7501063, s2 = 14314307, d1 = 24, d2 = 19 Dl.O(d1) = 267269203,267318145,244430714,267361030,267244372,238744402,266722090,266578358 Dl.O(d2) = 274550456,265692192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7501063, s2 = 14314307, dlinesl.size( ) = 14 s1 = 7789042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7789042, s2 = 6723041, int(edited[s2]) = 0 s1 = 7789042, s2 = 6723041, d1 = 104, d2 = 108 Dl.O(d1) = 274950996 Dl.O(d2) = 51337061,41151732,41081635,41081634,257724665,75908057,89683980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7789042, s2 = 6723041, dlinesl.size( ) = 50 s1 = 10295958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10295958, s2 = 7033258, int(edited[s2]) = 0 s1 = 10295958, s2 = 7033258, d1 = 82, d2 = 34 Dl.O(d1) = 267505246,245741006,245613698,267435116,245331151,245476886,245613699,245740999,245613692,267450898,245476881,275005026,245011359,245011358,245176413,245331145,245476879,245331149,267435121,267465831 Dl.O(d2) = 261644900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10295958, s2 = 7033258, dlinesl.size( ) = 70 s1 = 6221749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6221749, s2 = 11389778, int(edited[s2]) = 0 s1 = 6221749, s2 = 11389778, d1 = 18, d2 = 41 Dl.O(d1) = 244235738 Dl.O(d2) = 228116423,226262981,224133645,221678320,218819050,215433898,263719020,262930982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6221749, s2 = 11389778, dlinesl.size( ) = 26 s1 = 6232565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6232565, s2 = 9445224, int(edited[s2]) = 0 s1 = 6232565, s2 = 9445224, d1 = 19, d2 = 42 Dl.O(d1) = 244456309 Dl.O(d2) = 71215172,58493334,47115030,268612524,21441882,15446368,10679389,7054377,4440769,4440770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6232565, s2 = 9445224, dlinesl.size( ) = 2 s1 = 6232565, s2 = 9445224, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6232565, Dl.E( ) = 44, 1.31e-05 seconds used appending s1 = 6232666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6232666, s2 = 7481752, int(edited[s2]) = 0 s1 = 6232666, s2 = 7481752, d1 = 11, d2 = 12 Dl.O(d1) = 244457701 Dl.O(d2) = 267083008,266998926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6232666, s2 = 7481752, dlinesl.size( ) = 14 s1 = 6232803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13940259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6233738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6233738, s2 = 11661195, int(edited[s2]) = 0 s1 = 6233738, s2 = 11661195, d1 = 9, d2 = 5 Dl.O(d1) = 244476087 Dl.O(d2) = 40010800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6233738, s2 = 11661195, dlinesl.size( ) = 2 s1 = 6233738, s2 = 11661195, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6233738, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 7504443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6234107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8992081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6224843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6224843, s2 = 6299143, int(edited[s2]) = 0 s1 = 6224843, s2 = 6299143, d1 = 0, d2 = 14 Dl.O(d1) = 244292364 Dl.O(d2) = 245775578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6224843, s2 = 6299143, dlinesl.size( ) = 30 s1 = 8992442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8992442, s2 = 10275757, int(edited[s2]) = 0 s1 = 8992442, s2 = 10275757, d1 = 12, d2 = 8 Dl.O(d1) = 267442134,245230196,245068289,244895550,267307432,244305537,244079459,243836624,243575124 Dl.O(d2) = 274293776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8992442, s2 = 10275757, dlinesl.size( ) = 2 s1 = 8992442, s2 = 10275757, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8992442, Dl.E( ) = 22, 1.31e-05 seconds used appending s1 = 7487580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7487580, s2 = 14301017, int(edited[s2]) = 0 s1 = 7487580, s2 = 14301017, d1 = 61, d2 = 75 Dl.O(d1) = 267139708 Dl.O(d2) = 267609655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7487580, s2 = 14301017, dlinesl.size( ) = 86 s1 = 7502421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6226069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6226712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13945053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6237349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8985457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7793310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6238106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6238106, s2 = 7209442, int(edited[s2]) = 0 s1 = 6238106, s2 = 7209442, d1 = 30, d2 = 34 Dl.O(d1) = 244565738 Dl.O(d2) = 265280650,227228884,225234229,264612770,264036544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6238106, s2 = 7209442, dlinesl.size( ) = 2 s1 = 6238106, s2 = 7209442, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6238106, Dl.E( ) = 50, 1.72e-05 seconds used appending s1 = 15823583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15823583, s2 = 12017708, int(edited[s2]) = 0 s1 = 15823583, s2 = 12017708, d1 = 0, d2 = 25 Dl.O(d1) = 233265110 Dl.O(d2) = 243093464,267142555,267142553,243093463,243387948,243662792,243918253,243918254,244156373,244156372,244156373,267335603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15823583, s2 = 12017708, dlinesl.size( ) = 2 s1 = 15823583, s2 = 12017708, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 15823583, Dl.E( ) = 46, 1.31e-05 seconds used appending s1 = 8985775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7476296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7476296, s2 = 11579818, int(edited[s2]) = 0 s1 = 7476296, s2 = 11579818, d1 = 38, d2 = 1 Dl.O(d1) = 267029243,267208859,243681793,267237592 Dl.O(d2) = 235597324,234618141,266202549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7476296, s2 = 11579818, dlinesl.size( ) = 30 s1 = 8991374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8991374, s2 = 6680972, int(edited[s2]) = 0 s1 = 8991374, s2 = 6680972, d1 = 80, d2 = 90 Dl.O(d1) = 267476898,267431684,267397230,244608380 Dl.O(d2) = 262051467,136162012,122199420,273486268,65879579,257263723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8991374, s2 = 6680972, dlinesl.size( ) = 40 s1 = 6240264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6240264, s2 = 11510576, int(edited[s2]) = 0 s1 = 6240264, s2 = 11510576, d1 = 23, d2 = 43 Dl.O(d1) = 244611177 Dl.O(d2) = 229406298,265813664,266073752,229406300,227742470,265325464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6240264, s2 = 11510576, dlinesl.size( ) = 24 s1 = 8985974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6250055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6250055, s2 = 8513299, int(edited[s2]) = 0 s1 = 6250055, s2 = 8513299, d1 = 94, d2 = 115 Dl.O(d1) = 244810728,244622278 Dl.O(d2) = 51028756,62654779,259576295,117583613,131383949,261897253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6250055, s2 = 8513299, dlinesl.size( ) = 10 s1 = 9651884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6241418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6241418, s2 = 7406143, int(edited[s2]) = 0 s1 = 6241418, s2 = 7406143, d1 = 21, d2 = 13 Dl.O(d1) = 244633337,244432276,244216191,243983345,243732663,243461940,243171212,242861348,242861334,267045168,242170955,242528531,242528548,242170964,241785121,241785122,242170967,242528553,242861347,242861339,242528536,242170957,241785117,241366720,240914849,240914850,241366723,241785119,242170961,242528544,242528547,242170963,241785120,241785122,242170967,242528553,242861347,242861339,242528536,242528535,242528530,242528529 Dl.O(d2) = 266731312,266327090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6241418, s2 = 7406143, dlinesl.size( ) = 2 s1 = 6241418, s2 = 7406143, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6241418, Dl.E( ) = 22, 2.5e-05 seconds used appending s1 = 6232357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6232357, s2 = 6157937, int(edited[s2]) = 0 s1 = 6232357, s2 = 6157937, d1 = 9, d2 = 27 Dl.O(d1) = 244452651 Dl.O(d2) = 242892404,266901878,274629108 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6152852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6152852, s2 = 14257329, int(edited[s2]) = 0 s1 = 6152852, s2 = 14257329, d1 = 0, d2 = 1 Dl.O(d1) = 242782165,274979861 Dl.O(d2) = 244453142,267189886,267085484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6152852, s2 = 14257329, dlinesl.size( ) = 12 s1 = 6233191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6233191, s2 = 7799555, int(edited[s2]) = 0 s1 = 6233191, s2 = 7799555, d1 = 104, d2 = 170 Dl.O(d1) = 244466525 Dl.O(d2) = 275074448 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9056181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13927825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8989402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7791681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8974126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8974126, s2 = 11500912, int(edited[s2]) = 0 s1 = 8974126, s2 = 11500912, d1 = 85, d2 = 75 Dl.O(d1) = 274814761,274806950,242271259,266986522,243537971,243802045,267145970,244275306,267179010,244487273 Dl.O(d2) = 206302490,200236925,193055375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8974126, s2 = 11500912, dlinesl.size( ) = 66 s1 = 8985079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6245610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9648867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8987212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6247324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8983395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7500124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7500124, s2 = 15856394, int(edited[s2]) = 0 s1 = 7500124, s2 = 15856394, d1 = 70, d2 = 77 Dl.O(d1) = 267260034,244562272 Dl.O(d2) = 247810236,247815958,247821801,247828007,247828004,247828005,247834638,247841721,247849152,247856842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7500124, s2 = 15856394, dlinesl.size( ) = 2 s1 = 7500124, s2 = 15856394, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7500124, Dl.E( ) = 78, 2e-05 seconds used appending s1 = 9001032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6248259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6248259, s2 = 15271552, int(edited[s2]) = 0 s1 = 6248259, s2 = 15271552, d1 = 2, d2 = 1 Dl.O(d1) = 245931323,245816574,245694965,267387014,245276622,245118363,244949194,244769735,244577706,244371423,244148671,243909100,243651868,243375242,243079706,243079707,274914968,243375245,243651873,243909103,243909107,243651877,243375248,267049690,242765200,243079709,243375247,267161334,243909077,267193534,243909101,244148662,267223516,243651861,243651862,243909094,243909108,243651878,243651865,243651866,243909079,243909078,243651852,243651853,243651856,267193530,244148647,243909091,243651858,243375239,243079703,242765192,242427358,242063406,242063405,242427356,242765189,242427361,242063408,241668107,241239911,240777211,240277725,239739445,239157328,238524115,237832923,237072999,236240779,235328180,234326490,233226483 Dl.O(d2) = 230662082,229147895,227433611,225474238,223221731,220616991,217555133,213886930,209419215,203974576,197447385,189780177,180886546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6248259, s2 = 15271552, dlinesl.size( ) = 2 s1 = 6248259, s2 = 15271552, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6248259, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 10361917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361917, s2 = 8952082, int(edited[s2]) = 0 s1 = 10361917, s2 = 8952082, d1 = 93, d2 = 63 Dl.O(d1) = 266828151,266982575,267107499,267107497,267313289 Dl.O(d2) = 274902610,240016263,274800286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361917, s2 = 8952082, dlinesl.size( ) = 52 s1 = 6239332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8996626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6249469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6249865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13926567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7506625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7506625, s2 = 14826894, int(edited[s2]) = 0 s1 = 7506625, s2 = 14826894, d1 = 20, d2 = 13 Dl.O(d1) = 267320255,244648019 Dl.O(d2) = 267564683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7506625, s2 = 14826894, dlinesl.size( ) = 2 s1 = 7506625, s2 = 14826894, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7506625, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 8988325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6251719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7506887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6232518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10293028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10293028, s2 = 6245312, int(edited[s2]) = 0 s1 = 10293028, s2 = 6245312, d1 = 10, d2 = 12 Dl.O(d1) = 267195190,242970833,242646069,242646068,242970834,242970837,243274157,243557458 Dl.O(d2) = 244705737,244509149,244298578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10293028, s2 = 6245312, dlinesl.size( ) = 2 s1 = 10293028, s2 = 6245312, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10293028, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 6245311, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6236047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7507777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7507777, s2 = 7546337, int(edited[s2]) = 0 s1 = 7507777, s2 = 7546337, d1 = 35, d2 = 42 Dl.O(d1) = 267330207 Dl.O(d2) = 267674425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7507777, s2 = 7546337, dlinesl.size( ) = 32 s1 = 6255823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6255823, s2 = 11613250, int(edited[s2]) = 0 s1 = 6255823, s2 = 11613250, d1 = 20, d2 = 15 Dl.O(d1) = 244917313 Dl.O(d2) = 244690494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6255823, s2 = 11613250, dlinesl.size( ) = 30 s1 = 6246802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6246802, s2 = 7548514, int(edited[s2]) = 0 s1 = 6246802, s2 = 7548514, d1 = 59, d2 = 166 Dl.O(d1) = 244738960 Dl.O(d2) = 267692211 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6256276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6247543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6247543, s2 = 6256708, int(edited[s2]) = 0 s1 = 6247543, s2 = 6256708, d1 = 1, d2 = 1 Dl.O(d1) = 244756407,244936649,245106134,245264626,245413268,245553614,245685126,245553609,245413264,267428183 Dl.O(d2) = 244756407,244936649,245106134,245264626,245413268,245553614,245685126,245553609,245413264,267428183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6247543, s2 = 6256708, dlinesl.size( ) = 2 s1 = 6247543, s2 = 6256708, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6247543, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6248408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6248408, s2 = 9001033, int(edited[s2]) = 0 s1 = 6248408, s2 = 9001033, d1 = 1, d2 = 1 Dl.O(d1) = 244772038,244951376,245120356,245278490,245426538,245565897,245696369,245817880,245932592,267500906,246142466,246070145,245964200,245851489,245731675 Dl.O(d2) = 244772038,244951376,245120356,245278490,245426538,245565897,245696369,245817880,245932592,267500906,246142466,246070145,245964200,245851489,245731675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6248408, s2 = 9001033, dlinesl.size( ) = 2 s1 = 6248408, s2 = 9001033, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6248408, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13938211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10295439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6250245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6250245, s2 = 11719351, int(edited[s2]) = 0 s1 = 6250245, s2 = 11719351, d1 = 78, d2 = 83 Dl.O(d1) = 244813217,244813219,244813220,244813221,244990270 Dl.O(d2) = 255947647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6250245, s2 = 11719351, dlinesl.size( ) = 22 s1 = 6250976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7512812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7512812, s2 = 9701243, int(edited[s2]) = 0 s1 = 7512812, s2 = 9701243, d1 = 24, d2 = 18 Dl.O(d1) = 267375823 Dl.O(d2) = 254488455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7512812, s2 = 9701243, dlinesl.size( ) = 16 s1 = 6260370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6260370, s2 = 8798480, int(edited[s2]) = 0 s1 = 6260370, s2 = 8798480, d1 = 8, d2 = 0 Dl.O(d1) = 275013082,245740378,245613000,245476147,245330295,245175341,245010196,244834389,244648026,244448046,244233455,244001554,267142010,243194314,242886093,242886091,242554983,242199593,241815061,241398635,240948956,240463309,266701524,239940032,239940000,239374949,239374950,266766258,240948930,241398604,240948958,240463310,240463311,240463366,239940084,239375015,238762279,238095964,237364271,237364272,237364258,236558863,235674699,234702155,234702156,235674703,236558870,237364265,238095954,238762261,239374993,239940025,239940026,240463299,240948947,266882260,241815059,241398633,240948948,266826672,241398637,240948958,240463310,240463311,240463366,239940084,239375015,238762279,238095964,237364271,236558874,266282154,238095962,238762277,239375009,266701534,240463349,240949007,266766270,240463346,240463355,239940070 Dl.O(d2) = 266701526,238095945,237364259,236558864,235674699,234702155,234702156,235674703,236558870,237364265,238095954,238762261,239374993,239940025,239374966,238762243,238762245,239374970,239940031,240463307,239940077,239375005,238762275,238095959,237364270,236558873,235674707,234702158,233635401,232462782,231166372,229720930,228092647,226237356,224106367,221649587,218788409,215400070,211299366,206280701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6260370, s2 = 8798480, dlinesl.size( ) = 2 s1 = 6260370, s2 = 8798480, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6260370, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 6260469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6260469, s2 = 11425984, int(edited[s2]) = 0 s1 = 6260469, s2 = 11425984, d1 = 133, d2 = 140 Dl.O(d1) = 245012355 Dl.O(d2) = 261955253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6260469, s2 = 11425984, dlinesl.size( ) = 70 s1 = 6252056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10362437, s2 = 8919514, int(edited[s2]) = 0 s1 = 10362437, s2 = 8919514, d1 = 84, d2 = 75 Dl.O(d1) = 244682373,244867644,245034983,275000665,275005435,245025253,244850308 Dl.O(d2) = 266792442,238823975,238163896,237438793,266587538,266420278,235264776,266109414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10362437, s2 = 8919514, dlinesl.size( ) = 22 s1 = 7509351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7509351, s2 = 7513740, int(edited[s2]) = 0 s1 = 7509351, s2 = 7513740, d1 = 25, d2 = 26 Dl.O(d1) = 267344555 Dl.O(d2) = 267384630 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6261502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6262519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6262519, s2 = 11786652, int(edited[s2]) = 0 s1 = 6262519, s2 = 11786652, d1 = 0, d2 = 0 Dl.O(d1) = 244693278,244877614,245051384,245051385,245051386,245214206,245366930,245510636,245645826,245771401,245889368,246000251,246104096 Dl.O(d2) = 244693278,244877614,245051384,245051385,245051386,245214206,245366930,245510636,245645826,245771401,245889368,246000251,246104096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6262519, s2 = 11786652, dlinesl.size( ) = 2 s1 = 6262519, s2 = 11786652, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6262519, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6271430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6271430, s2 = 7514238, int(edited[s2]) = 0 s1 = 6271430, s2 = 7514238, d1 = 6, d2 = 0 Dl.O(d1) = 245228057,245065875 Dl.O(d2) = 244512705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6271430, s2 = 7514238, dlinesl.size( ) = 2 s1 = 6271430, s2 = 7514238, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6271430, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6235788, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9056494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6263494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7516609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7516609, s2 = 11598142, int(edited[s2]) = 0 s1 = 7516609, s2 = 11598142, d1 = 31, d2 = 35 Dl.O(d1) = 267409640 Dl.O(d2) = 239655032,239067058,266689887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7516609, s2 = 11598142, dlinesl.size( ) = 18 s1 = 7517366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9651168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6265371, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13944217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9648418, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9648418, s2 = 6266303, int(edited[s2]) = 0 s1 = 9648418, s2 = 6266303, d1 = 10, d2 = 7 Dl.O(d1) = 240314349,240811141,241271337,241697620,242091566,242455198,242792389,243105585,243399170,243672300,243926186,267178160,244384529,244590066,244781790 Dl.O(d2) = 245129413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9648418, s2 = 6266303, dlinesl.size( ) = 2 s1 = 9648418, s2 = 6266303, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9648418, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 13949979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8991852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8991852, s2 = 14334333, int(edited[s2]) = 0 s1 = 8991852, s2 = 14334333, d1 = 50, d2 = 73 Dl.O(d1) = 274940477,267314761,267358007,244969821 Dl.O(d2) = 267453136,245200159,245036441,244861693,244676341,274976222,267275926,267221456,267158982,267087102,266733650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8991852, s2 = 14334333, dlinesl.size( ) = 60 s1 = 6266876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6259194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6267855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6267855, s2 = 6283136, int(edited[s2]) = 0 s1 = 6267855, s2 = 6283136, d1 = 0, d2 = 2 Dl.O(d1) = 245162128,244995870,244995871 Dl.O(d2) = 245464277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6267855, s2 = 6283136, dlinesl.size( ) = 10 s1 = 7512098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7512098, s2 = 7384021, int(edited[s2]) = 0 s1 = 7512098, s2 = 7384021, d1 = 40, d2 = 47 Dl.O(d1) = 267369312 Dl.O(d2) = 265526427,227969619,229607111,266089677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7512098, s2 = 7384021, dlinesl.size( ) = 38 s1 = 6268090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6260475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6260475, s2 = 7452506, int(edited[s2]) = 0 s1 = 6260475, s2 = 7452506, d1 = 11, d2 = 3 Dl.O(d1) = 245012418,245177459,245332159,267421509,267421511,245201523,245037970,245037969,245037970,267366259,244267135,244038666,244038665,243792693 Dl.O(d2) = 266796889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6260475, s2 = 7452506, dlinesl.size( ) = 2 s1 = 6260475, s2 = 7452506, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6260475, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 9005399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6260684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6260684, s2 = 5736762, int(edited[s2]) = 0 s1 = 6260684, s2 = 5736762, d1 = 10, d2 = 95 Dl.O(d1) = 245017221 Dl.O(d2) = 236936342,236936343,237708516,238410175,239050289,239638772,266870030,238410174,238410178,237708517,237708518,237708519,236936345,236088648,235157027,234133206,233008013,231764214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6260684, s2 = 5736762, dlinesl.size( ) = 24 s1 = 6261805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6261805, s2 = 7039750, int(edited[s2]) = 0 s1 = 6261805, s2 = 7039750, d1 = 27, d2 = 20 Dl.O(d1) = 245037635 Dl.O(d2) = 211724371,272896882,102071100 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6262703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6262774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6235969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6271731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6271731, s2 = 11622281, int(edited[s2]) = 0 s1 = 6271731, s2 = 11622281, d1 = 17, d2 = 19 Dl.O(d1) = 245234259 Dl.O(d2) = 266748882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6271731, s2 = 11622281, dlinesl.size( ) = 2 s1 = 6271731, s2 = 11622281, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6271731, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 9056760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7515023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6265790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7504176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7504176, s2 = 14919208, int(edited[s2]) = 0 s1 = 7504176, s2 = 14919208, d1 = 51, d2 = 84 Dl.O(d1) = 267298158 Dl.O(d2) = 125693866,111876956,97940746,84067845,70531471,57829930,256838902,28134157,20956225,15047345,10374296,6835704,6835706,6773906,4251070,2541409,2541408,4251068,4276836,4276835,6790175,6790186,6762261,5563613,3447278,3447277,5563607,8568036,6831542,6831543,9064745,9064747,10297492,6770280,6770281,9091250,9091248,7471207,6802808,6802807,6778853,4249126,3711477,2222555,2222556,1467907,1467910,2548143,2547870,2547868,4261812,4259970,2547910,2547911,4240560,4240561,5924071,3704345,3704347,5924077,9060407,13275579,10313448,10311120,10311119,10314751,8333785,5378729,3307442,3307439,5378721,8333774,7274137,4587392,2759859,2759858,4587387,6830562,4285366,2562074,2562072,4285376,6830578,7273557,10282588,10282589,10987493,10987494,10987550,10394038,10394037,10294249,10294248,6786643,4254516,2543406,2543404,4254507,3323042,1954525,1116584,626595,626594,1116582,1954519,3323029,5405082,254853499,17564295,23907981,31400514,40081396,50102083,61581971,74358589,87960759,101771736,87799715,74196491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7504176, s2 = 14919208, dlinesl.size( ) = 36 s1 = 6274211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6241348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6267948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6268194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7513741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7513741, s2 = 7509350, int(edited[s2]) = 0 s1 = 7513741, s2 = 7509350, d1 = 11, d2 = 8 Dl.O(d1) = 267384631 Dl.O(d2) = 267344554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7513741, s2 = 7509350, dlinesl.size( ) = 14 s1 = 6269760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6270056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7514016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7514016, s2 = 7007056, int(edited[s2]) = 0 s1 = 7514016, s2 = 7007056, d1 = 82, d2 = 71 Dl.O(d1) = 267387157 Dl.O(d2) = 261256295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7514016, s2 = 7007056, dlinesl.size( ) = 72 s1 = 6279192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7496750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6263649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10284711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7499883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7516681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6280374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9653522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7520487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6280856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15047783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6280878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7510669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10295069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9652562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13986191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13986191, s2 = 9056761, int(edited[s2]) = 0 s1 = 13986191, s2 = 9056761, d1 = 37, d2 = 0 Dl.O(d1) = 245538469,267426365,267391259,267391257 Dl.O(d2) = 244214448,243981438,267294761,244430628 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6283395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6276449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6276449, s2 = 6369166, int(edited[s2]) = 0 s1 = 6276449, s2 = 6369166, d1 = 0, d2 = 19 Dl.O(d1) = 245328567 Dl.O(d2) = 247122031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6276449, s2 = 6369166, dlinesl.size( ) = 2 s1 = 6276449, s2 = 6369166, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6276449, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 6252162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6284461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6284461, s2 = 3656917, int(edited[s2]) = 0 s1 = 6284461, s2 = 3656917, d1 = 37, d2 = 61 Dl.O(d1) = 245487237 Dl.O(d2) = 126715897,268622238,256354090,126715899,273104121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6284461, s2 = 3656917, dlinesl.size( ) = 14 s1 = 7794071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8995165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7473877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7473877, s2 = 13736455, int(edited[s2]) = 0 s1 = 7473877, s2 = 13736455, d1 = 57, d2 = 93 Dl.O(d1) = 267005495,274925132,243249511,267438371 Dl.O(d2) = 264789895,219529871,222304336,265584167,224685999,222304334,219529869,265145564,212283164,212283165,212283163,264431270,194567038,186411678,177055509,166473881,154768200,142135617,128782213,260418184 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6271201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7512082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6279124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6279194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6279194, s2 = 11533907, int(edited[s2]) = 0 s1 = 6279194, s2 = 11533907, d1 = 72, d2 = 61 Dl.O(d1) = 245381556,245229784,245229785,245381558,267456190,245229795 Dl.O(d2) = 265237951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6279194, s2 = 11533907, dlinesl.size( ) = 2 s1 = 6279194, s2 = 11533907, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6279194, Dl.E( ) = 82, 2.31e-05 seconds used appending s1 = 6279354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13919301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13919301, s2 = 7509416, int(edited[s2]) = 0 s1 = 13919301, s2 = 7509416, d1 = 16, d2 = 14 Dl.O(d1) = 234131074,235154923,236086579,236086580,236934196,237706284,238408122,239048474,239637379,266923161,240686555,241152851,241584482,241983866,242353189,242696638,243017193,243317960,243599419,243860484,244103429,244329160,244539086,244734398,244916635,245087631,245247391,267442507,245671140,245538413,245538414,245671142,245671147,245795008,245911101,245795001,245671137,245671134,245538409,267426355,245247391,245397203,245538412,245671138,245795002 Dl.O(d2) = 267403458,244674294,244674293,244859918,245034801,245198633,267437435,245495829,267403518,245034256,267345190,244474776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13919301, s2 = 7509416, dlinesl.size( ) = 2 s1 = 13919301, s2 = 7509416, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13919301, Dl.E( ) = 18, 2.31e-05 seconds used appending s1 = 7513352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7513352, s2 = 2315075, int(edited[s2]) = 0 s1 = 7513352, s2 = 2315075, d1 = 103, d2 = 129 Dl.O(d1) = 267380850,245409575 Dl.O(d2) = 32376151,24757033,18281338,12975307,8832232,5755301,3583932,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135883,2135879,3583964,254320934,12975451,18281489,15630846,10816776,7148624,4501732,2705287,1567716,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589221,8601186,12665641,17881772,24259239,31771436,40466330,50502447,61994402 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7516751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6280617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10294795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8995687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7517094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7517094, s2 = 11620412, int(edited[s2]) = 0 s1 = 7517094, s2 = 11620412, d1 = 41, d2 = 33 Dl.O(d1) = 267413981 Dl.O(d2) = 267274846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7517094, s2 = 11620412, dlinesl.size( ) = 42 s1 = 9654870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6289849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6290400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7522781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7522781, s2 = 11541508, int(edited[s2]) = 0 s1 = 7522781, s2 = 11541508, d1 = 54, d2 = 60 Dl.O(d1) = 267465759 Dl.O(d2) = 274602666,226233536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7522781, s2 = 11541508, dlinesl.size( ) = 48 s1 = 7522794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7522794, s2 = 16252337, int(edited[s2]) = 0 s1 = 7522794, s2 = 16252337, d1 = 46, d2 = 71 Dl.O(d1) = 267465935 Dl.O(d2) = 215434739,215434740,264725329,206326405,200264942,200264941,206326404,211338556,206326394,206326393,264959317,215434736,215434735,218819833,265171187,265363763,218819832,218819834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7522794, s2 = 16252337, dlinesl.size( ) = 28 s1 = 13946253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6291713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7792263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7792263, s2 = 6285685, int(edited[s2]) = 0 s1 = 7792263, s2 = 6285685, d1 = 14, d2 = 2 Dl.O(d1) = 274990014,267405712 Dl.O(d2) = 245512911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7792263, s2 = 6285685, dlinesl.size( ) = 2 s1 = 7792263, s2 = 6285685, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7792263, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 8980533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8980533, s2 = 7531813, int(edited[s2]) = 0 s1 = 8980533, s2 = 7531813, d1 = 21, d2 = 19 Dl.O(d1) = 243259645,243544115,267422671 Dl.O(d2) = 267549516,246753774,267588492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8980533, s2 = 7531813, dlinesl.size( ) = 26 s1 = 7525982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7526257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7526257, s2 = 6959926, int(edited[s2]) = 0 s1 = 7526257, s2 = 6959926, d1 = 49, d2 = 20 Dl.O(d1) = 267499071,267532669,267549520,246390982,267508088,267483216 Dl.O(d2) = 260631154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7526257, s2 = 6959926, dlinesl.size( ) = 28 s1 = 6286413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14216123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6293953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7523548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7519665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6289174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6296034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7522363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6289762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6296800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9318756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9318756, s2 = 11626804, int(edited[s2]) = 0 s1 = 9318756, s2 = 11626804, d1 = 18, d2 = 21 Dl.O(d1) = 267346379,244869309,245043968,245167280,245322804,245469100,245606563 Dl.O(d2) = 267558058,245469100,275005048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9318756, s2 = 11626804, dlinesl.size( ) = 14 s1 = 6290577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6290577, s2 = 6127060, int(edited[s2]) = 0 s1 = 6290577, s2 = 6127060, d1 = 13, d2 = 1 Dl.O(d1) = 245610085 Dl.O(d2) = 242230320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6290577, s2 = 6127060, dlinesl.size( ) = 20 s1 = 7521078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7521078, s2 = 5060371, int(edited[s2]) = 0 s1 = 7521078, s2 = 5060371, d1 = 67, d2 = 82 Dl.O(d1) = 267450405 Dl.O(d2) = 210458884,273326244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7521078, s2 = 5060371, dlinesl.size( ) = 86 s1 = 10295181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9002076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6291985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6291985, s2 = 6362053, int(edited[s2]) = 0 s1 = 6291985, s2 = 6362053, d1 = 0, d2 = 144 Dl.O(d1) = 245635662 Dl.O(d2) = 247168474,247128987,247085316,247037173,246984970,246984969,246984968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6291985, s2 = 6362053, dlinesl.size( ) = 92 s1 = 6298695, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6298794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6298794, s2 = 14317423, int(edited[s2]) = 0 s1 = 6298794, s2 = 14317423, d1 = 8, d2 = 11 Dl.O(d1) = 245768976 Dl.O(d2) = 266801437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6298794, s2 = 14317423, dlinesl.size( ) = 2 s1 = 6298794, s2 = 14317423, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6298794, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 13938955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7524457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6294193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6307225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7520680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7520680, s2 = 14157090, int(edited[s2]) = 0 s1 = 7520680, s2 = 14157090, d1 = 26, d2 = 29 Dl.O(d1) = 267446713 Dl.O(d2) = 267638859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7520680, s2 = 14157090, dlinesl.size( ) = 8 s1 = 6295946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6302510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6303479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6303479, s2 = 7277908, int(edited[s2]) = 0 s1 = 6303479, s2 = 7277908, d1 = 22, d2 = 44 Dl.O(d1) = 245858983,245739579 Dl.O(d2) = 264888191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6303479, s2 = 7277908, dlinesl.size( ) = 48 s1 = 6297772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6304554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6304554, s2 = 7516750, int(edited[s2]) = 0 s1 = 6304554, s2 = 7516750, d1 = 9, d2 = 19 Dl.O(d1) = 245878420 Dl.O(d2) = 267410928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6304554, s2 = 7516750, dlinesl.size( ) = 34 s1 = 9056997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9056997, s2 = 15265897, int(edited[s2]) = 0 s1 = 9056997, s2 = 15265897, d1 = 24, d2 = 10 Dl.O(d1) = 245760648,267453456,267453375,245760651 Dl.O(d2) = 244039185,267249942,243243245,242937903,242610584,242610583,242937901,243243241,243528514,243793288,243528515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9056997, s2 = 15265897, dlinesl.size( ) = 40 s1 = 9001400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6298993, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8999191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8999191, s2 = 6313039, int(edited[s2]) = 0 s1 = 8999191, s2 = 6313039, d1 = 5, d2 = 66 Dl.O(d1) = 245370947,245514449 Dl.O(d2) = 246414268,246328406,246237081,246139794,246038121,267488441,245692894,267445361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8999191, s2 = 6313039, dlinesl.size( ) = 36 s1 = 6299512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6299512, s2 = 11521026, int(edited[s2]) = 0 s1 = 6299512, s2 = 11521026, d1 = 39, d2 = 31 Dl.O(d1) = 245782210,267478594,245782206,267433608,245228219,245066094,245066095,245228222,245066103,245066102,245228238,267417004,267449590 Dl.O(d2) = 264935468,219676553,216412675,216412674,219676553,264935470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6299512, s2 = 11521026, dlinesl.size( ) = 20 s1 = 6305777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6286598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13951197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7534011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7534011, s2 = 7471188, int(edited[s2]) = 0 s1 = 7534011, s2 = 7471188, d1 = 46, d2 = 57 Dl.O(d1) = 267568480 Dl.O(d2) = 243067748,274947743,267173193,242413871,242049103,241652813,266978617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7534011, s2 = 7471188, dlinesl.size( ) = 44 s1 = 6301189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13942477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10296713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7527238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7527238, s2 = 11536292, int(edited[s2]) = 0 s1 = 7527238, s2 = 11536292, d1 = 84, d2 = 0 Dl.O(d1) = 267508628,267501229,267488886,245649106 Dl.O(d2) = 231532558,265932582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7527238, s2 = 11536292, dlinesl.size( ) = 32 s1 = 6318717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6318717, s2 = 6229837, int(edited[s2]) = 0 s1 = 6318717, s2 = 6229837, d1 = 51, d2 = 20 Dl.O(d1) = 246143547,275029709,267501305,245819868,245934284,245947004 Dl.O(d2) = 267289166,244403071,244183675,243947644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6318717, s2 = 6229837, dlinesl.size( ) = 2 s1 = 6318717, s2 = 6229837, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6318717, Dl.E( ) = 52, 1.81e-05 seconds used appending s1 = 6274585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6302182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6308558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7522648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6303128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7523118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7523118, s2 = 11630748, int(edited[s2]) = 0 s1 = 7523118, s2 = 11630748, d1 = 110, d2 = 165 Dl.O(d1) = 267469315 Dl.O(d2) = 267419681,267451789,245748682,267480786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7523118, s2 = 11630748, dlinesl.size( ) = 86 s1 = 7527646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7527646, s2 = 11428046, int(edited[s2]) = 0 s1 = 7527646, s2 = 11428046, d1 = 140, d2 = 1 Dl.O(d1) = 267512549 Dl.O(d2) = 213803807,209313136,264049959,263338233 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6294939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6313989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6313989, s2 = 11981252, int(edited[s2]) = 0 s1 = 6313989, s2 = 11981252, d1 = 62, d2 = 34 Dl.O(d1) = 246056199,267502832,245874776 Dl.O(d2) = 227742521,225845985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6313989, s2 = 11981252, dlinesl.size( ) = 12 s1 = 7531637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7531637, s2 = 2623407, int(edited[s2]) = 0 s1 = 7531637, s2 = 2623407, d1 = 104, d2 = 0 Dl.O(d1) = 267547830 Dl.O(d2) = 74163636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7531637, s2 = 2623407, dlinesl.size( ) = 42 s1 = 7515246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7515246, s2 = 6314058, int(edited[s2]) = 0 s1 = 7515246, s2 = 6314058, d1 = 8, d2 = 0 Dl.O(d1) = 267397859,267432329,267477409 Dl.O(d2) = 246058931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7515246, s2 = 6314058, dlinesl.size( ) = 16 s1 = 6314585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7525541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9003948, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9003634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6314838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6314838, s2 = 11616913, int(edited[s2]) = 0 s1 = 6314838, s2 = 11616913, d1 = 21, d2 = 24 Dl.O(d1) = 246074743 Dl.O(d2) = 266653874,236519992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6314838, s2 = 11616913, dlinesl.size( ) = 22 s1 = 6309466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13939621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6315975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9320046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9000339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7524782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7524782, s2 = 6317221, int(edited[s2]) = 0 s1 = 7524782, s2 = 6317221, d1 = 0, d2 = 0 Dl.O(d1) = 267485197,246012619,246115252 Dl.O(d2) = 267485197,246012619,246115252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7524782, s2 = 6317221, dlinesl.size( ) = 2 s1 = 7524782, s2 = 6317221, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7524782, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6317222, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7527544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7527544, s2 = 11507948, int(edited[s2]) = 0 s1 = 7527544, s2 = 11507948, d1 = 39, d2 = 63 Dl.O(d1) = 267511508,267487072 Dl.O(d2) = 234509309,266160278,230910892,230910891,232232683,233425764,233425766,266160278,230910892,230910891,232232683,233425764,232232685,265913640,229435695,227774835,265454544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7527544, s2 = 11507948, dlinesl.size( ) = 8 s1 = 6318411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6318411, s2 = 11586342, int(edited[s2]) = 0 s1 = 6318411, s2 = 11586342, d1 = 4, d2 = 0 Dl.O(d1) = 246139070 Dl.O(d2) = 242419998,242055264,241658932,241229974,240766829,240266657,239727508,239144294,238509676,237816507,237054210,236219454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6318411, s2 = 11586342, dlinesl.size( ) = 2 s1 = 6318411, s2 = 11586342, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6318411, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 7525135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7525135, s2 = 2368295, int(edited[s2]) = 0 s1 = 7525135, s2 = 2368295, d1 = 63, d2 = 83 Dl.O(d1) = 267488583 Dl.O(d2) = 259656360,64268933,77419056 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6314094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6314094, s2 = 7523950, int(edited[s2]) = 0 s1 = 6314094, s2 = 7523950, d1 = 7, d2 = 27 Dl.O(d1) = 246059666 Dl.O(d2) = 267477408,267432328,267397858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6314094, s2 = 7523950, dlinesl.size( ) = 26 s1 = 6314225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7794677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6289871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7530044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6320671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6316679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6316679, s2 = 6290454, int(edited[s2]) = 0 s1 = 6316679, s2 = 6290454, d1 = 13, d2 = 11 Dl.O(d1) = 246106106,267530587,246385993,246468964 Dl.O(d2) = 246880571,246859275,246820380,246758168,246692162,246622299,246622290,246622291,246692155,267555890,267527282,267516284,246268061,246172807,246073138,245967590,245855143,245735540,245607830,274999716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6316679, s2 = 6290454, dlinesl.size( ) = 14 s1 = 7490441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13951425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9003802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10296388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7795095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7795095, s2 = 11046696, int(edited[s2]) = 0 s1 = 7795095, s2 = 11046696, d1 = 81, d2 = 93 Dl.O(d1) = 275023523 Dl.O(d2) = 71009619,58294691,46928949,256120210,21326525,254917256,254917258,4398546,4398547,6999026,10607644,15354524,15354525,14442763,9935823,6530279,4091768,2448082,2448081,4091764,6530267,9935806,6995838,6995836,7030367,7030364,10602013,10673083,7049453,5976824,5976825,9133274,10673090,7049457,7049455,7008043,7008044,10619197,15368874,15346895,10601027,10601026,15346889,255066192,18440528,255825603,255029859,6996025,4396648,4396649,6996028,10603374,9917739,6517920,4083947,2443461,1412887,803908,803907,1412885,1412860,1412861,1412998,2443656,4084299,6518577,4395053,4083844,4083843,6517754,6529578,6529579,5969326,3733088,2235162,1296274,1296273,2235160,3733084,5969316,9122479,9919048,12863182,10601950,10601951,7008417,4405682,2640962,2640959,2634126,2634127,4395728,6994520,10601449,15347337,12825455,8719879,8719876,5675906,3530191,2100903,1209648,1209649,2100906,267852287,4083040,6516409,9915745,8969168,5855237,3654970,267778115,1268150,2186106,3654968,254638107,7759058,11646381,13350706,9125165,5971213,5971215,3734490,3734491,4084131,4084130,6518267,9122614,5969404,3733128,2235184,1296287,739872,739871,1296283,2235177,3733115,5969384,6569180,9122608,9122609,13350345,9995552,9995553,13351207,13351206,9126077,5971951,3734611,3734610,5971945,9126069,13350302,18751528,13353484,9125496,9125495,13353478,11000143,7281642,7281643,254689562,6997874,4397816,2635274,1521773,862803,862800,254224871,4091536,2447959,1415384,805261,254153287,2447961,2712306,4513893,7166772,7166770,10840910,15660115,12689808,12689809,13324724,9104297,5957204,3725537,2230620,2230622,3725540,5957212,9104313,13324748,18718442,25292143,25286869,21112983,15166844,15166843,15166995,15166996,21109101,21109102,15164564,15164566,10459137,10458091,6894438,6894436,10459468,15166394,15166703,10459824,6894676,4327950,4327949,6894670,6894659,6894653,6894652,10459788,14471388,20170163,27064355,35150159,44526602,46701392,36820509,28325338,21115689,15169621,10462179,6896295,6896294,10462176,255809001,257137061,41047989,51204174,57833316,46477595,36611615,28137975,28137974,256822489,18280087,18280088,255516261,16844742,23101368,30517624,29148268,29148267,23101168,16844625,16844624,23101164,30517356,39114700,38343431,30517525,30517524,39114833,35878755,27597992,27597991,29627133,22275463,22275464,29627135,38194081,47793629,37868873,37868872,38343455,38343436,29772197,256407501,30517365,23101175,23101176,30517367,39114714,47793553,38343473,38343472,256546596,71669964,71669963,258287404,37342693,28804582,21537900,21537901,28804585 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7527005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7527077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6326866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6326866, s2 = 6324259, int(edited[s2]) = 0 s1 = 6326866, s2 = 6324259, d1 = 17, d2 = 16 Dl.O(d1) = 246301036 Dl.O(d2) = 246251659,267545243,246507612 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6327928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6300651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6312677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6328166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7527723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7524378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7524378, s2 = 13939622, int(edited[s2]) = 0 s1 = 7524378, s2 = 13939622, d1 = 10, d2 = 19 Dl.O(d1) = 267481474 Dl.O(d2) = 246248209,246151689,267467412,245578961,267384838,244967485,244967484,244789418,244599283,244599282,244789414,267300086,244395044,267220490,267123092,267045350,242466657,242803838,243116914,243410368,243116918,267045350,242103748,242103747,242466656,242803836,243116912,267190206,244174716,244395036,267300084,267365270,267403014,275019540,267494538,246338831,246424139,267528910,275033461,245943778,267467414,275005610,267384840,245135417,245135418,245292687,267403016,245708760,245829783,275019542,246146416,267489344,245822562,245701445,245571840,245433255,274992568,274965426,243925240,243671309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7524378, s2 = 13939622, dlinesl.size( ) = 2 s1 = 7524378, s2 = 13939622, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7524378, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 13947773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13947773, s2 = 2071249, int(edited[s2]) = 0 s1 = 13947773, s2 = 2071249, d1 = 2, d2 = 0 Dl.O(d1) = 245384215,245526907,245660833,245785445,245902178,246012110,246114716,267531577,246305381,246392476,267541952,246429320,246344489,246254405,267485716,245950952,267441848,245588145,245450029,245303618,245147471,244980709,244803423,244614308,244411517,244193382,243958609,243706288,243433193,243139675,242826511,242489841,242128427,274898923,240862599,240371124,239840460,239265660,238640290,237957491,237207119,236384025,235483056,234495430,233410964,232216714,230893181,229415680,265250390,223681966,221173443,273891554,210520990,263634620,199073253,191669794,261845948,162110084,149898175,136757056,122925720,108661416,257663550,66890138 Dl.O(d2) = 268443778,34617993,34011741,29425914,29425915,29425901,26628427,19817234,14195312,9758370,9758371,14195313,19817256,26628457,34618031,43889611,54632601,66890146,80318570,94374012,108661421,122925722,136757058,149898179,162110087,173209933,183060696,185725131,255952138,153816625,141143664,127786919,113912489,99894030,254171634,59611099,48224396,38314578,29745880,22386561,22386541,16228218,16228214,22386534,29745839,38314534,48224356,59611050,72345235,254804506,57769765,46416279,36553314,28084388,20911249,255365823,10336144,6803617,4266800,2550990,2550991,4266802,6769451,5940742,3714723,3714724,5940745,9082889,13301215,10368165,6830593,4285386,4285388,4261692,4261690,6796615,10328060,9064602,5927120,3706124,3706123,5927116,9064594,13280345,11217824,7443257,4702995,2833255,2833257,4702998,7443263,11217829,16147011,255900657,38210082,48120494,59507932,72242525,85557260,71970025,59232514,47835375,37914071,29345005,22931040,22931041,30331985,38918471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13947773, s2 = 2071249, dlinesl.size( ) = 2 s1 = 13947773, s2 = 2071249, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13947773, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 9008854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9008854, s2 = 7258980, int(edited[s2]) = 0 s1 = 9008854, s2 = 7258980, d1 = 90, d2 = 61 Dl.O(d1) = 246790136,246725997,246658533,246586826,246510535,246430519,246345839 Dl.O(d2) = 264666334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9008854, s2 = 7258980, dlinesl.size( ) = 14 s1 = 6319500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6319500, s2 = 7535194, int(edited[s2]) = 0 s1 = 6319500, s2 = 7535194, d1 = 13, d2 = 11 Dl.O(d1) = 246160896,246256994 Dl.O(d2) = 267578801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6319500, s2 = 7535194, dlinesl.size( ) = 14 s1 = 9319360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13949191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661218, s2 = 13172816, int(edited[s2]) = 0 s1 = 11661218, s2 = 13172816, d1 = 14, d2 = 21 Dl.O(d1) = 242446767,242083573,274897527,241263180,240802571,240305517,239769739,266767911,237868044,237110860,236281403,235373187,234376881,233281241,232070566,230726563,230726562,230726565,229218267,227511372,225559476,223315289,220718680,217667301,214010874,209556505,204127284,197619827,189977598,181114613,171009670,159694585,262097346,106103216,106103215,271051841,77984777,77984778,91908575,85069880,71497671,59043582,59043583,71785466,259960417,90114911,76300328,63278529,51559983,51559982,54611772,257883829,80299157,94355668,105442031,91219449,77298957,64149788,52297402,268760078,25289038,18716098,13322942,13322941,18716097,25289037,33014038,41956371,52297400,64149787,259015305,105442028,119680916,133556337,146815172,159190322,170531364,180665049,189564903,197255294,203815537,209292414,213784905,217470984,220545541,223161103,225422077,227388210,229107814,230626351,266277197,235304461,236219541,237054282,237816563,238509729,239144350,239727564,266931265,241230082,267065775,242420030,242758334,243073308,267234403,243903404,244143529,244366721,244573285,244765439,244944888,245113878,245272067,267445185,267474607,267488315,267523797 Dl.O(d2) = 246993116,267601746,246820281,246820279,246759292,246759291,246821326,246820269,246758037,246692068,246622239,267581833,246820282,246821325,246821326,246820269,246758037,246758036,246758042,246692078,246622233,246622232,246692077,275056107,246692065,246692064,267588869,246692085,275049502,246547605,246622241,246622223,246547595,246468933,246468934,246547596,246622226,246622239,246547603,246468940,246468939,246468946,246547612,246622249,246622220,246547608,246468943,246385979,246385977,246468939,246385982,246385983,246468945,246468930,246385971,246298111,246298112,246385973,246468931,246385980,246385981,246468945,246547594,246622219,246547592,246468928,267540920,246204797,246204798,246298112,246385974,246468934,267566827,246692066,246692081,246758045,275058007,246820284,246758049,267574874,246547604,246468940,246468939,246385982,246385983,246468945,246468930,246468929,246547593,246547608,246547609,246547606,246547605,246622241,267581829,246622243,246547606,246547605,246622241,246622223,246547595,246468933,246468934,246547596,246622228,246692071,246758035,246692067,246692066,246622236,246622235,246692058,246692061,246622221,246622219,246622218,267558958,246385970,246298113,267520520,246002631,245891999,245774309,245648990,245514137,245370654,245218319,245055720,244882250,244698188,244698189,244501137,244289880,244289879,267304176,267253164,243554249,243554248,243270665,243270666,242967290,242642262,242293634,241917064,241509464,241069504,240595502,240084775,239533780,266743318,235925096,266345680,232794724,231530824,230120911,228532570,226725637,224653396,222267270,219487679,216196921,212226248,207366899,201474269,194473795,263203564,176926743,166329191,261785940,128605571,114708776,100663342,86690752,73087031,60347886,48951774,39030054,255967482,16790633,11740102,7838303,4975613,3005547,1745862,1745860,3005541,4975607,7838296,11740087,16790600,11958297,11958296,17046126,23307492,26942122,26942123,26958404,31324020,31324019,35013822,35013823,38398759,38398760,47763688,40001576,31323773,23833204,21825733,21825734,29132806,37694041,40001751,37694519,37694518,47313063,37403598,28862020,21587976,21587978,25969028,23306695,23306696,30724355,30439524,28143513,20965124,16590789,11739526,11739525,16789559,23032703,30439529,28865076,21590622,21590623,26700618,19879785,14243752,14243751,19879780,25409481,26937176,23341797,21589652,15563715,10764981,7112665,4478352,2690757,1558816,1558818,2690767,4478373,7112697,10765032,15563796,21589759,28864128,30199630,268406884,11570801,255496721,22805729,30196525,38781047,256456568,72835824,260037097,128284780,133500087,260712228,105391880,91169870,269396348,41917347,32977179,25254296,25254295,32977176,257180253,64104537,77251322,91169868,105391877,91169867,91169868,105391879,119628212,261955685,262916413,180611048,189516645,273970388,192999920,184617406,263063702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661218, s2 = 13172816, dlinesl.size( ) = 12 s1 = 9849612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7500705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7500705, s2 = 11645074, int(edited[s2]) = 0 s1 = 7500705, s2 = 11645074, d1 = 39, d2 = 65 Dl.O(d1) = 267265835,267315375,274993061,245444937,275048118,246583380,267554286 Dl.O(d2) = 247605838,267676970,247549284,247530856,267675043,247586200,275088845,267695401,275092094,247835361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7500705, s2 = 11645074, dlinesl.size( ) = 24 s1 = 10295933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7531460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6334146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13951765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13950731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6330919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6331009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6331300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7529888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10297494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7520536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7520536, s2 = 8999190, int(edited[s2]) = 0 s1 = 7520536, s2 = 8999190, d1 = 149, d2 = 11 Dl.O(d1) = 267445360,246139799,267488440,246414273 Dl.O(d2) = 245774695,245649324,245514445,245370946,245218635,245056104,244882715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7520536, s2 = 8999190, dlinesl.size( ) = 96 s1 = 13951517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7535193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7535193, s2 = 6324606, int(edited[s2]) = 0 s1 = 7535193, s2 = 6324606, d1 = 23, d2 = 34 Dl.O(d1) = 267578800 Dl.O(d2) = 246259791,246163784 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14833679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9009672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9007293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15887020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15887020, s2 = 7527004, int(edited[s2]) = 0 s1 = 15887020, s2 = 7527004, d1 = 1, d2 = 1 Dl.O(d1) = 267647008,247335148,247306532,247306531,247306530,267627858,267606518,247042081,246990554,246935741,246878045,267573054,246689080,267547976,246543845,246464813,267506144,246199852,267466842,245886721,275005364,245508544,267384036,245212246,245049401,244875384,244690799,244493001,244281338,267188744,267156290,243259906,242955671,267000400,241051028,240575067,240062462,239509314,238910086,238257613,237540889,236751346,235884758,234934019 Dl.O(d2) = 267647008,247335148,247306532,247306531,247306530,267627858,267606518,247042081,246990554,246935741,246878045,267573054,246689080,267547976,246543845,246464813,267506144,246199852,267466842,245886721,275005364,245508544,267384036,245212246,245049401,244875384,244690799,244493001,244281338,267188744,267156290,243259906,242955671,267000400,241051028,240575067,240062462,239509314,238910086,238257613,237540889,236751346,235884758,234934019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15887020, s2 = 7527004, dlinesl.size( ) = 2 s1 = 15887020, s2 = 7527004, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 15887020, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10296656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9741292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9741292, s2 = 5898317, int(edited[s2]) = 0 s1 = 9741292, s2 = 5898317, d1 = 111, d2 = 183 Dl.O(d1) = 246624075,246624076,246693751 Dl.O(d2) = 237044500,237807236,238150022,266576432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9741292, s2 = 5898317, dlinesl.size( ) = 56 s1 = 7798258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7798258, s2 = 11572122, int(edited[s2]) = 0 s1 = 7798258, s2 = 11572122, d1 = 63, d2 = 83 Dl.O(d1) = 275059983,267557452 Dl.O(d2) = 234579557,266441940,274625319,231069581,265832985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7798258, s2 = 11572122, dlinesl.size( ) = 68 s1 = 7527719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7531351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7531351, s2 = 14257463, int(edited[s2]) = 0 s1 = 7531351, s2 = 14257463, d1 = 23, d2 = 24 Dl.O(d1) = 267545223,246507481,267585353 Dl.O(d2) = 267610128,246846482,246906317,267610435,247017437,267604278,246846477,267610433,246963673,267616054,247017435,246963669,267597856,246784670,246784669,246846465,246906296,246963666,247017433,267610118,267597856,246784670,246784669,246846465,246906296,246963666,246963670,246906302,246906301,246846472,246784674,246784673,246846470,267604276,246846464,246846465,246906296,246963666,246963670,275058746,267584524,246652250,246579980,246503198,246422576,267553873,246579982,246579979,246503196,246503195,267570261,267577853,275056969,246906320,246963682,246963678,246906315,246846480,246784680,246784679,246846479,246906294,246846464,246846465,246906296,246963666,246963670,246906302,246906301,246846472,246784674,246720197,246652247,246579978,246503196,267544162,267524208,246048486,267488774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7531351, s2 = 14257463, dlinesl.size( ) = 2 s1 = 7531351, s2 = 14257463, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7531351, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 9005696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9005696, s2 = 6126221, int(edited[s2]) = 0 s1 = 9005696, s2 = 6126221, d1 = 40, d2 = 0 Dl.O(d1) = 267528029,267528031,246364535,246448446,246527723,275051229,246448432,267538107,267517115 Dl.O(d2) = 242212426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9005696, s2 = 6126221, dlinesl.size( ) = 26 s1 = 6339660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6339660, s2 = 6353759, int(edited[s2]) = 0 s1 = 6339660, s2 = 6353759, d1 = 17, d2 = 26 Dl.O(d1) = 246547247 Dl.O(d2) = 246819999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6339660, s2 = 6353759, dlinesl.size( ) = 48 s1 = 7536392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7536392, s2 = 8959722, int(edited[s2]) = 0 s1 = 7536392, s2 = 8959722, d1 = 46, d2 = 48 Dl.O(d1) = 267589158,267575042 Dl.O(d2) = 267304610,243283029,274915934,241529934,267011328,240620080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7536392, s2 = 8959722, dlinesl.size( ) = 21 s1 = 6343887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6343887, s2 = 7439586, int(edited[s2]) = 0 s1 = 6343887, s2 = 7439586, d1 = 57, d2 = 46 Dl.O(d1) = 246627437,246553165,246474730 Dl.O(d2) = 266682071,266668934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6343887, s2 = 7439586, dlinesl.size( ) = 2 s1 = 6343887, s2 = 7439586, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6343887, Dl.E( ) = 58, 3.41e-05 seconds used appending s1 = 7531052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7531052, s2 = 5940401, int(edited[s2]) = 0 s1 = 7531052, s2 = 5940401, d1 = 10, d2 = 0 Dl.O(d1) = 267542602 Dl.O(d2) = 238042409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7531052, s2 = 5940401, dlinesl.size( ) = 16 s1 = 10296603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9006943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6341521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6341521, s2 = 11629496, int(edited[s2]) = 0 s1 = 6341521, s2 = 11629496, d1 = 18, d2 = 52 Dl.O(d1) = 246582584,246648331 Dl.O(d2) = 267475390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6341521, s2 = 11629496, dlinesl.size( ) = 30 s1 = 6341350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6341350, s2 = 10451806, int(edited[s2]) = 0 s1 = 6341350, s2 = 10451806, d1 = 17, d2 = 10 Dl.O(d1) = 246579832,246652092,246720049,246784499,246846297,246811225,246748694,246682979,246613054,246537907,246458999,246375572,246287171,246192951,246094297,246094298,246094296,245990119,245878912,245760606,245634815,245499157 Dl.O(d2) = 242937869,242610551,242610552,242937870,242610556,242258586,242258587,242610553,242258585,241878379,241878378,241466221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6341350, s2 = 10451806, dlinesl.size( ) = 2 s1 = 6341350, s2 = 10451806, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6341350, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 7535168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9656561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9656561, s2 = 6341952, int(edited[s2]) = 0 s1 = 9656561, s2 = 6341952, d1 = 0, d2 = 0 Dl.O(d1) = 245317914,245317915,245464310,245602052,267478653,267504231,246169042,246264582,246354242,246438819,246518581,246594250,246665607,267586237,275059205,246915428,246856094,267592528,246663486,246591997,246516119,267554964,246261404,267526170,267503797 Dl.O(d2) = 245317914,245317915,245464310,245602052,267478653,267504231,246169042,246264582,246354242,246438819,246518581,246594250,246665607,267586237,275059205,246915428,246856094,267592528,246663486,246591997,246516119,267554964,246261404,267526170,267503797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9656561, s2 = 6341952, dlinesl.size( ) = 2 s1 = 9656561, s2 = 6341952, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9656561, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7532624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7532624, s2 = 11638818, int(edited[s2]) = 0 s1 = 7532624, s2 = 11638818, d1 = 51, d2 = 52 Dl.O(d1) = 267556689 Dl.O(d2) = 275075447,275069562,246808406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7532624, s2 = 11638818, dlinesl.size( ) = 12 s1 = 7796643, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7535415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6348471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6348471, s2 = 7527720, int(edited[s2]) = 0 s1 = 6348471, s2 = 7527720, d1 = 2, d2 = 7 Dl.O(d1) = 246716781 Dl.O(d2) = 267513091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6348471, s2 = 7527720, dlinesl.size( ) = 14 s1 = 6333188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7534959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6345537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6345539, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9008910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9008910, s2 = 10295932, int(edited[s2]) = 0 s1 = 9008910, s2 = 10295932, d1 = 24, d2 = 2 Dl.O(d1) = 275053070,246674140,246674141,267578762,246864594,246923241,246864589,246803596,246803597,246803602,246740353,246674147,246674148,246740351,246803601,246803580,267585852,246803600,246803601,246803581,246740347,246674138,267554958 Dl.O(d2) = 245976004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9008910, s2 = 10295932, dlinesl.size( ) = 6 s1 = 7796913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7796913, s2 = 6393363, int(edited[s2]) = 0 s1 = 7796913, s2 = 6393363, d1 = 70, d2 = 99 Dl.O(d1) = 275044777,275049853 Dl.O(d2) = 267684518,247643834,247622292,247601498,247581523,247562388,247543802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7796913, s2 = 6393363, dlinesl.size( ) = 50 s1 = 9008141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6349023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7534404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7534404, s2 = 9013989, int(edited[s2]) = 0 s1 = 7534404, s2 = 9013989, d1 = 21, d2 = 35 Dl.O(d1) = 267571887 Dl.O(d2) = 247159933,247159934,247196813,267639473,247297735,275074288,247327154,267661281,267666417,247494688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7534404, s2 = 9013989, dlinesl.size( ) = 32 s1 = 9006682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7537057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7537244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6351378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6351378, s2 = 7527561, int(edited[s2]) = 0 s1 = 6351378, s2 = 7527561, d1 = 38, d2 = 35 Dl.O(d1) = 246834009,267596954,246771859,267576540,267576545,246771861 Dl.O(d2) = 267596956,246771870,246771868,246771869,267590542,246706562,267568792,246485973,246404600,246318362,246227030,267511612,245803828 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7540434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7540434, s2 = 10393348, int(edited[s2]) = 0 s1 = 7540434, s2 = 10393348, d1 = 103, d2 = 161 Dl.O(d1) = 267625442 Dl.O(d2) = 266927432,240339081,274802408,238606161,266545798,236344519,236344520,237170384,266622158,239231828,239231838,238606171,237922452,237170386,236344521,235440582,234450284,233362369,232162131,230832322,229344942,227667922,225754812,223560469,221028342,218066784,214534338,264021552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7540434, s2 = 10393348, dlinesl.size( ) = 106 s1 = 7537381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7535142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7535142, s2 = 6087708, int(edited[s2]) = 0 s1 = 7535142, s2 = 6087708, d1 = 43, d2 = 19 Dl.O(d1) = 267578305,246787991,246849750,246798184,246734681,246668179,267562554,267564391,246668181,267578070,246597271,246521808,267564391,246668181,246734682,246798186,246798183,246734679,246668176,246668174,246668173,246597267,246521806,246442151,267535372,246172892,246268166,267546935,267564391,246668181,246734682,246798185,246859415,246798183,246734679,246668176,246668174,246668173,246597267,246521806,246442151,267535372,246172892,246268166,267546935,267564391 Dl.O(d2) = 241378964,240927843,240440636,239915620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7535142, s2 = 6087708, dlinesl.size( ) = 2 s1 = 7535142, s2 = 6087708, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7535142, Dl.E( ) = 46, 1.72e-05 seconds used appending s1 = 6366410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7537800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7537800, s2 = 14834385, int(edited[s2]) = 0 s1 = 7537800, s2 = 14834385, d1 = 9, d2 = 3 Dl.O(d1) = 267601145 Dl.O(d2) = 267581392,245994890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7537800, s2 = 14834385, dlinesl.size( ) = 10 s1 = 14834386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14834386, s2 = 7537799, int(edited[s2]) = 0 s1 = 14834386, s2 = 7537799, d1 = 0, d2 = 8 Dl.O(d1) = 245994891,267581393 Dl.O(d2) = 267601144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14834386, s2 = 7537799, dlinesl.size( ) = 10 s1 = 6357568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6357568, s2 = 11380184, int(edited[s2]) = 0 s1 = 6357568, s2 = 11380184, d1 = 71, d2 = 110 Dl.O(d1) = 246893776 Dl.O(d2) = 264222140,264506714,213257717,208612728,208612727,264222140,264506714,213257717,208612728,263156828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6357568, s2 = 11380184, dlinesl.size( ) = 104 s1 = 6357715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6357715, s2 = 11593360, int(edited[s2]) = 0 s1 = 6357715, s2 = 11593360, d1 = 30, d2 = 59 Dl.O(d1) = 246897634 Dl.O(d2) = 237032263,236196508,235279181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6357715, s2 = 11593360, dlinesl.size( ) = 18 s1 = 6355331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6355331, s2 = 11634922, int(edited[s2]) = 0 s1 = 6355331, s2 = 11634922, d1 = 6, d2 = 104 Dl.O(d1) = 246849330 Dl.O(d2) = 245771326,267483463,246000198,246104054,246000193,246000192,246104053,246104056,246000194,267519831,246104056,246000197,246000198,246104055,246000193,245889277,245771325,267483461,246000196,246104053,246104056,246000194,267519831,246104056,246000194,245889278,245771325,245645737,245510515,245366822,245214098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6355331, s2 = 11634922, dlinesl.size( ) = 20 s1 = 6356410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6356410, s2 = 6361977, int(edited[s2]) = 0 s1 = 6356410, s2 = 6361977, d1 = 1, d2 = 7 Dl.O(d1) = 246870644 Dl.O(d2) = 246984046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6356410, s2 = 6361977, dlinesl.size( ) = 8 s1 = 6356729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6360101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6360101, s2 = 6354297, int(edited[s2]) = 0 s1 = 6360101, s2 = 6354297, d1 = 5, d2 = 0 Dl.O(d1) = 246946395 Dl.O(d2) = 246828635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6360101, s2 = 6354297, dlinesl.size( ) = 8 s1 = 7541515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9008542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6358389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6361754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6361754, s2 = 14216513, int(edited[s2]) = 0 s1 = 6361754, s2 = 14216513, d1 = 13, d2 = 9 Dl.O(d1) = 246979932 Dl.O(d2) = 246865455,246924088,267587146,246741413,246675250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6361754, s2 = 14216513, dlinesl.size( ) = 2 s1 = 6361754, s2 = 14216513, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6361754, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 6361816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6359212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6362056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7539672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6362516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6362516, s2 = 12022247, int(edited[s2]) = 0 s1 = 6362516, s2 = 12022247, d1 = 49, d2 = 40 Dl.O(d1) = 246995348,246940503,246940504,246995349 Dl.O(d2) = 246822772,246822773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6362516, s2 = 12022247, dlinesl.size( ) = 22 s1 = 7537230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6360251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6354478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6361222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6364321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7537684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9011388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7538972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7535712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6363128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6363128, s2 = 6616912, int(edited[s2]) = 0 s1 = 6363128, s2 = 6616912, d1 = 88, d2 = 192 Dl.O(d1) = 247005540 Dl.O(d2) = 126268812,112405903,98416910,84495271,84495270,98416908,112405900,112405904,98416910,84495271,256581510,46845826,37125179,28614142,21378343,15396407,13099466,11186211,7422335,4690410,4690409,7422333,11186208,254105972,11186219,11186218,12353251,254075434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6363128, s2 = 6616912, dlinesl.size( ) = 158 s1 = 6372245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9010942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6366971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9011900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6367823, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6365767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6365767, s2 = 9015005, int(edited[s2]) = 0 s1 = 6365767, s2 = 9015005, d1 = 29, d2 = 26 Dl.O(d1) = 247056330,247102613,247102614 Dl.O(d2) = 247343292,275076646,247394479,247394478,247369497,247343295,247343294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6365767, s2 = 9015005, dlinesl.size( ) = 2 s1 = 6365767, s2 = 9015005, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6365767, Dl.E( ) = 32, 2.69e-05 seconds used appending s1 = 7539305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7539305, s2 = 11644278, int(edited[s2]) = 0 s1 = 7539305, s2 = 11644278, d1 = 42, d2 = 55 Dl.O(d1) = 267615408,247057577 Dl.O(d2) = 267684675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7539305, s2 = 11644278, dlinesl.size( ) = 60 s1 = 7539914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9009947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13953837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6369089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6369729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10297600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7540911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6367674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6367674, s2 = 7540912, int(edited[s2]) = 0 s1 = 6367674, s2 = 7540912, d1 = 4, d2 = 13 Dl.O(d1) = 247093759 Dl.O(d2) = 247136237,267629461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6367674, s2 = 7540912, dlinesl.size( ) = 2 s1 = 6367674, s2 = 7540912, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6367674, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 7539217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7539217, s2 = 7521819, int(edited[s2]) = 0 s1 = 7539217, s2 = 7521819, d1 = 13, d2 = 38 Dl.O(d1) = 267614582,247101241,267582810 Dl.O(d2) = 267521710,246704376,246635075,267521708,275025012,267457190 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6368602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13954187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13954187, s2 = 6369831, int(edited[s2]) = 0 s1 = 13954187, s2 = 6369831, d1 = 31, d2 = 32 Dl.O(d1) = 246881258,267607843,247045039,267624257 Dl.O(d2) = 247134926,247134927,267633201,247173618,247134905,247092235,247092234,247045041,246993731,246938923,267607843,247045039,267624259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13954187, s2 = 6369831, dlinesl.size( ) = 32 s1 = 6371994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9012862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10297283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9012520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7539976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9012958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9012958, s2 = 11309784, int(edited[s2]) = 0 s1 = 9012958, s2 = 11309784, d1 = 76, d2 = 43 Dl.O(d1) = 247261312,247227115,247191552 Dl.O(d2) = 265120881,265220648,78891694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9012958, s2 = 11309784, dlinesl.size( ) = 54 s1 = 7538871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7538871, s2 = 6370823, int(edited[s2]) = 0 s1 = 7538871, s2 = 6370823, d1 = 22, d2 = 10 Dl.O(d1) = 267610840 Dl.O(d2) = 247154023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7538871, s2 = 6370823, dlinesl.size( ) = 38 s1 = 9013988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7541668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13955617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6373584, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6371640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6372188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6372188, s2 = 6349011, int(edited[s2]) = 0 s1 = 6372188, s2 = 6349011, d1 = 22, d2 = 3 Dl.O(d1) = 247178014 Dl.O(d2) = 246729354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6372188, s2 = 6349011, dlinesl.size( ) = 34 s1 = 9013563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7799201, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9010499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6373324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6373324, s2 = 6377306, int(edited[s2]) = 0 s1 = 6373324, s2 = 6377306, d1 = 0, d2 = 9 Dl.O(d1) = 247198087 Dl.O(d2) = 247267122,267646715,247328296,247355429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6373324, s2 = 6377306, dlinesl.size( ) = 2 s1 = 6373324, s2 = 6377306, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6373324, Dl.E( ) = 10, 7.15e-06 seconds used appending s1 = 6373859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6373859, s2 = 7537683, int(edited[s2]) = 0 s1 = 6373859, s2 = 7537683, d1 = 9, d2 = 19 Dl.O(d1) = 247207680 Dl.O(d2) = 267600056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6373859, s2 = 7537683, dlinesl.size( ) = 2 s1 = 6373859, s2 = 7537683, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6373859, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 6373871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9657446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13954643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6375821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6375821, s2 = 7548450, int(edited[s2]) = 0 s1 = 6375821, s2 = 7548450, d1 = 1, d2 = 14 Dl.O(d1) = 247240798 Dl.O(d2) = 267691692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6375821, s2 = 7548450, dlinesl.size( ) = 34 s1 = 7542723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7799573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7799573, s2 = 6364995, int(edited[s2]) = 0 s1 = 7799573, s2 = 6364995, d1 = 15, d2 = 16 Dl.O(d1) = 275074619 Dl.O(d2) = 247091193,247043832,246992463,246992462,246992464,246937639,246879890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7799573, s2 = 6364995, dlinesl.size( ) = 8 s1 = 6380554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13956233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6382742, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6383508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9658204, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7543083, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6383259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6383259, s2 = 6346525, int(edited[s2]) = 0 s1 = 6383259, s2 = 6346525, d1 = 18, d2 = 4 Dl.O(d1) = 247364786 Dl.O(d2) = 246679433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6383259, s2 = 6346525, dlinesl.size( ) = 28 s1 = 6383452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6383452, s2 = 11661231, int(edited[s2]) = 0 s1 = 6383452, s2 = 11661231, d1 = 1, d2 = 1 Dl.O(d1) = 247368883,247393963 Dl.O(d2) = 247368883,247393963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6383452, s2 = 11661231, dlinesl.size( ) = 2 s1 = 6383452, s2 = 11661231, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6383452, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7544365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6383761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6383761, s2 = 11495228, int(edited[s2]) = 0 s1 = 6383761, s2 = 11495228, d1 = 95, d2 = 83 Dl.O(d1) = 247375249,247399836,267660813 Dl.O(d2) = 237628401,236849059,266249602,234012756,265889976,274287842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6383761, s2 = 11495228, dlinesl.size( ) = 38 s1 = 6384419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6384611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7544628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7544628, s2 = 15853318, int(edited[s2]) = 0 s1 = 7544628, s2 = 15853318, d1 = 74, d2 = 4 Dl.O(d1) = 267660309 Dl.O(d2) = 247004420,267615153,247004403,247004404,247055319,247101891,267615145,247004410,267615143,267609235,246893218,246893208,246833201,246771033,246705698,246705697,246771035,246833203,246771036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7544628, s2 = 15853318, dlinesl.size( ) = 6 s1 = 11661236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661236, s2 = 7960085, int(edited[s2]) = 0 s1 = 11661236, s2 = 7960085, d1 = 112, d2 = 122 Dl.O(d1) = 267699830,247810444 Dl.O(d2) = 191759618,183163219,173332742,259636460,150094134,137016669,123248629,109023261,109023257,109023258,257178480,123248628,268485680,94742906,109023258,257178480,123248628,268485680,80664825,67190099,54870711,44070366,34753658,254202404,18704970,13338693,9113591,254295894,5962923,3728827,254203241,738956,420054,420053,738958,1294682,2232499,3728828,5962925,9113605,267762884,25314273,20095083,14407712,14407711,254707900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661236, s2 = 7960085, dlinesl.size( ) = 18 s1 = 7544528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7544528, s2 = 15049120, int(edited[s2]) = 0 s1 = 7544528, s2 = 15049120, d1 = 18, d2 = 43 Dl.O(d1) = 267659347 Dl.O(d2) = 275070244,247131709,247142891,267613244,246635085,275015596,245546106,267404944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7544528, s2 = 15049120, dlinesl.size( ) = 16 s1 = 11661232, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6385162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9015217, s2 = 14166319, int(edited[s2]) = 0 s1 = 9015217, s2 = 14166319, d1 = 6, d2 = 6 Dl.O(d1) = 267655465,267660961,247470743,267668615,267664201,275078611,267656014 Dl.O(d2) = 267655465,267660961,247470743,267668615,267664201,275078611,267656014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9015217, s2 = 14166319, dlinesl.size( ) = 2 s1 = 9015217, s2 = 14166319, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9015217, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 7544253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9657877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7544477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7544477, s2 = 9015064, int(edited[s2]) = 0 s1 = 7544477, s2 = 9015064, d1 = 16, d2 = 36 Dl.O(d1) = 267658911 Dl.O(d2) = 267668976,247354311,267646587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7800089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7800089, s2 = 11639055, int(edited[s2]) = 0 s1 = 7800089, s2 = 11639055, d1 = 11, d2 = 6 Dl.O(d1) = 275080240,247457602,247458196,247434969,247410825,267653712,267647450,247274250,267636738,247170479,267623822,247088156,247131339,247088146,247040587,247040588,247088155,247131311,247131310,267632837,247131341,247131340 Dl.O(d2) = 247170459,247131314,247088108,247088107,247040584,267607330,246875596,246815195,267601163,267613177,267623829,267632837,247131341,247088151,247040585,246988843,246933601,267594790,267581338,246616636,246541441,246462281,246378817,246290545,246196752,246098315,245994484,245883668,245766024,245640476,245505169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7800089, s2 = 11639055, dlinesl.size( ) = 2 s1 = 7800089, s2 = 11639055, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7800089, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9015024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166320, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6389973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9731382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9006815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6391536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6391536, s2 = 6288993, int(edited[s2]) = 0 s1 = 6391536, s2 = 6288993, d1 = 51, d2 = 64 Dl.O(d1) = 247511178 Dl.O(d2) = 245579298,267399442,245293230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6391536, s2 = 6288993, dlinesl.size( ) = 80 s1 = 9057658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9057658, s2 = 8973770, int(edited[s2]) = 0 s1 = 9057658, s2 = 8973770, d1 = 17, d2 = 34 Dl.O(d1) = 275055150,267635389,275070968,275074216,247449325,247471384,247492393 Dl.O(d2) = 267206510,242805957,242468735,242105913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9057658, s2 = 8973770, dlinesl.size( ) = 8 s1 = 13956813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7545407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6393188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6393188, s2 = 7544252, int(edited[s2]) = 0 s1 = 6393188, s2 = 7544252, d1 = 31, d2 = 9 Dl.O(d1) = 247540853,275082375,247599118,247619774,267679712,247600927,247621689,247600930,247580910,247580909,247580903,247561619,247542711,247523704,247503720,247482733,247460790,247460789,247482732,247503719,247523708,247542719,247542723,247542722,267674284,247542721,247561629,247561625,247561616,267672202,247523709,247542719,247542723,247542722,267674284,247542721,247561629,267678001,247600926,247600925,267679709,247621689,247600930,247580910,247580909,247580903,247561619,247561618,247561627,247542718,247542716,247523706,247523705,247542713,247561620,247580894,247561611,247561610,247580890,247561609,247561608,247580888,247580913,247561631,247542724,247523713,247503723,247503722,247523710,267674281,247580911,247600916,247580913,247561631,247561632 Dl.O(d2) = 267657040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6393188, s2 = 7544252, dlinesl.size( ) = 2 s1 = 6393188, s2 = 7544252, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6393188, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 6394416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7546336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9017424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9017424, s2 = 9006814, int(edited[s2]) = 0 s1 = 9017424, s2 = 9006814, d1 = 64, d2 = 58 Dl.O(d1) = 267699124,267693350,267691258,247734827,275086400,247583108 Dl.O(d2) = 247486747,267663008,267645308,267576342,246484511 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6395461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7546302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6395914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9016560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9016560, s2 = 14225018, int(edited[s2]) = 0 s1 = 9016560, s2 = 14225018, d1 = 47, d2 = 3 Dl.O(d1) = 267676046 Dl.O(d2) = 247585540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9016560, s2 = 14225018, dlinesl.size( ) = 56 s1 = 7546842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7546842, s2 = 13958316, int(edited[s2]) = 0 s1 = 7546842, s2 = 13958316, d1 = 13, d2 = 14 Dl.O(d1) = 267678653,247626427,247647547,247668563,247688845,247668567,247668569,247688853,247707271,247723251,267689223,267689225,267691543,267689219,247723244 Dl.O(d2) = 247723237,267690392,267687917,247688846,247688845,247688852,267689225,267691543,267689219,247707267,247688851,247668566,247647549,247647550,247668569,247688853,247707271,247723251,267689223,267689225,267691543,267689219,247723244,247723236,247707262,247688844,247688843,247707260,247723232,267690391,247723240,247723241,247737034,247749137,247759982,267691536,267690395,247737026,247737025,247723236,247723237,247737032,247749136,247749147,247749140,267691534,267691536,247749138,247737035,267687919,247688847,247668564,247668565,247688849,267687921,247737023,247749132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7546842, s2 = 13958316, dlinesl.size( ) = 2 s1 = 7546842, s2 = 13958316, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7546842, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7546868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10298272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10298272, s2 = 11597910, int(edited[s2]) = 0 s1 = 10298272, s2 = 11597910, d1 = 81, d2 = 2 Dl.O(d1) = 247733995,247733998,247720257,247720251,247720250,267688018,247704157,247704158,247720251,247704152,247704153,267686546 Dl.O(d2) = 242338672,274936839,274911070,266989886,266892242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10298272, s2 = 11597910, dlinesl.size( ) = 48 s1 = 6399785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6399785, s2 = 14166321, int(edited[s2]) = 0 s1 = 6399785, s2 = 14166321, d1 = 7, d2 = 7 Dl.O(d1) = 247705041,247686657,267684644 Dl.O(d2) = 247705041,247686657,267684644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6399785, s2 = 14166321, dlinesl.size( ) = 2 s1 = 6399785, s2 = 14166321, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6399785, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 14166322, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6400658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6400088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7548189, s2 = 6400546, int(edited[s2]) = 0 s1 = 7548189, s2 = 6400546, d1 = 4, d2 = 9 Dl.O(d1) = 267689406 Dl.O(d2) = 247722461,267688192,267690257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 9017439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9017439, s2 = 11645016, int(edited[s2]) = 0 s1 = 9017439, s2 = 11645016, d1 = 18, d2 = 16 Dl.O(d1) = 247548798,247566903,247585714,267681837,247668281,247688572,267689191,247722963,247707000,247688569,247668280,247647184,247625989,247605450,247585713,247585712,247605448,247625982,247647175,247668266,247688546,247706976,247707003,247688574,247688573,247707007,247722971,267690333,247759515,247759526,247748779,247748781,247759510,247748762,247748753,247748752,247736710,247736709,247736683,247722937,247706969,247688544,247668263,247647171,247647173,267684911,247688553,247668272,247647180,247625983,247625982,247647175,247668266,247688546,247706976,247707003,247688571,247688572,267689191,247722963,247707000,247688569,247668280,247668279,247688566,247706998,247722961,247722938,247706969,247688544,247668263,247647171,247647173,267684909,247706971,247688564 Dl.O(d2) = 267692547,247748765,247748764,247748763,247736705,247722955,247706989,247688557,247688559,267687883,247736707,247748786,247748758,247736678,247722935,247706967,247688544,247668263,247647171,247647173,267684911,247688553,247668272,247647180,247647179,247668267,247688548,267687877,267690335,267687881,247722941,247706977,247706978,247722944,267689189,247748774,247736695,247736696,247748748,247748749,247748746,275090748,267690345,247722965,247722966,247736713,247748767,267694517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9017439, s2 = 11645016, dlinesl.size( ) = 2 s1 = 9017439, s2 = 11645016, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9017439, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 6401301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6401301, s2 = 6401302, int(edited[s2]) = 0 s1 = 6401301, s2 = 6401302, d1 = 6, d2 = 7 Dl.O(d1) = 247739901 Dl.O(d2) = 247739902,275090274,267695595,247800667,275092482 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9017269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9017269, s2 = 6403078, int(edited[s2]) = 0 s1 = 9017269, s2 = 6403078, d1 = 17, d2 = 9 Dl.O(d1) = 247571686,247591376,267682193,267685219,247712159,247726845,247739670,247751276,247761679,247770708,247770712 Dl.O(d2) = 247770714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9017269, s2 = 6403078, dlinesl.size( ) = 20 s1 = 14837809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14837809, s2 = 7548941, int(edited[s2]) = 0 s1 = 14837809, s2 = 7548941, d1 = 7, d2 = 7 Dl.O(d1) = 267688133,247739795,247751386,267695579 Dl.O(d2) = 267688133,247739795,247751386,267695579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14837809, s2 = 7548941, dlinesl.size( ) = 2 s1 = 14837809, s2 = 7548941, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14837809, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 7548940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7801031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7801031, s2 = 6401933, int(edited[s2]) = 0 s1 = 7801031, s2 = 6401933, d1 = 24, d2 = 35 Dl.O(d1) = 275092483,247806765,267695594,275090275,247751464 Dl.O(d2) = 247751463,267694737,267696423,275090852,247794180,247787074,247779345,247770879,267690598 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10298346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6402226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7548373, s2 = 9659697, int(edited[s2]) = 0 s1 = 7548373, s2 = 9659697, d1 = 33, d2 = 59 Dl.O(d1) = 267691143 Dl.O(d2) = 267714508,247950750,247949444,247948101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7548373, s2 = 9659697, dlinesl.size( ) = 14 s1 = 7548391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7546902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7546902, s2 = 7551081, int(edited[s2]) = 0 s1 = 7546902, s2 = 7551081, d1 = 41, d2 = 48 Dl.O(d1) = 267679298 Dl.O(d2) = 267714308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7546902, s2 = 7551081, dlinesl.size( ) = 20 s1 = 7548424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7800841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9017219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548198, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6403750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6405074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6405303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7549288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7549288, s2 = 6404185, int(edited[s2]) = 0 s1 = 7549288, s2 = 6404185, d1 = 6, d2 = 18 Dl.O(d1) = 267698190 Dl.O(d2) = 247744150,275089081,247773527,267694973,247795893,267697423,247814050,267698894,247808236,247802250,247795902,247789058,247781490,247773530,267694975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7549288, s2 = 6404185, dlinesl.size( ) = 2 s1 = 7549288, s2 = 6404185, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7549288, Dl.E( ) = 20, 2.72e-05 seconds used appending s1 = 6405994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6406304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6406384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9018161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9018069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9057911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6408549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6408549, s2 = 6262715, int(edited[s2]) = 0 s1 = 6408549, s2 = 6262715, d1 = 39, d2 = 46 Dl.O(d1) = 247876950 Dl.O(d2) = 245648987,245648985,245514129,245514130,267366794,245055715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6408549, s2 = 6262715, dlinesl.size( ) = 24 s1 = 7801152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9018447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9018491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9057941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7550811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7550811, s2 = 15335495, int(edited[s2]) = 0 s1 = 7550811, s2 = 15335495, d1 = 59, d2 = 6 Dl.O(d1) = 267712280,275095618,247908699,247905816,267708320 Dl.O(d2) = 247807557,247801528,247795127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7550811, s2 = 15335495, dlinesl.size( ) = 12 s1 = 6410970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13959255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6411425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6411425, s2 = 6402673, int(edited[s2]) = 0 s1 = 6411425, s2 = 6402673, d1 = 20, d2 = 30 Dl.O(d1) = 247924571 Dl.O(d2) = 247764591,247754686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6411425, s2 = 6402673, dlinesl.size( ) = 14 s1 = 9659696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9659696, s2 = 7548372, int(edited[s2]) = 0 s1 = 9659696, s2 = 7548372, d1 = 35, d2 = 20 Dl.O(d1) = 247946016,247947558 Dl.O(d2) = 267691142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9659696, s2 = 7548372, dlinesl.size( ) = 2 s1 = 9659696, s2 = 7548372, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9659696, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 6411835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6412399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13959269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6412836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7801388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7801388, s2 = 13959270, int(edited[s2]) = 0 s1 = 7801388, s2 = 13959270, d1 = 39, d2 = 87 Dl.O(d1) = 275096696 Dl.O(d2) = 247947092,267713534,247941234,247939643,247937918,247935951,247935950,247937917,275096559,247939648,247939649,247941239,247939653,247939652,247941244,267714439,247952462,267714272,247949879,267714733,267714866,267714868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 6413055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6413055, s2 = 6406465, int(edited[s2]) = 0 s1 = 6413055, s2 = 6406465, d1 = 32, d2 = 0 Dl.O(d1) = 247948953 Dl.O(d2) = 247825891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6413055, s2 = 6406465, dlinesl.size( ) = 2 s1 = 6413055, s2 = 6406465, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6413055, Dl.E( ) = 50, 1.38e-05 seconds used appending s1 = 6413178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6413178, s2 = 6413268, int(edited[s2]) = 0 s1 = 6413178, s2 = 6413268, d1 = 0, d2 = 9 Dl.O(d1) = 247951033 Dl.O(d2) = 247952328,247953547,247952327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 6413287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6413287, s2 = 7747328, int(edited[s2]) = 0 s1 = 6413287, s2 = 7747328, d1 = 79, d2 = 57 Dl.O(d1) = 247952558,267714108,247956203,247957348,247957349,247958381,267714884,247960040,247959304,267714606,247956201,247956200,247957349,247958381,267714884,247960040,247959304,267714606,247956201,247955006,247955005,247956199,247957347,247958378,247958373,247957344,247957345,247958375,247959294,247960028,247959297,247959296,247959307,247959299,247958379,247958381,247958384,247958385,247959306,247960041,247960753,247960754,247960759,247960039,247959304,247959305,247960033,247959300,247959301,247959310,247959308,247959309,247960044 Dl.O(d2) = 274297934,227226949,225231889,264313338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6413287, s2 = 7747328, dlinesl.size( ) = 2 s1 = 6413287, s2 = 7747328, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6413287, Dl.E( ) = 82, 4.48e-05 seconds used appending s1 = 6413369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7551229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6414110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9324890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7551414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6414477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6415123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6415062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7801531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7801531, s2 = 10298582, int(edited[s2]) = 0 s1 = 7801531, s2 = 10298582, d1 = 33, d2 = 27 Dl.O(d1) = 275098065 Dl.O(d2) = 247981152,247980993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7801531, s2 = 10298582, dlinesl.size( ) = 26 s1 = 10298583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10298583, s2 = 7801530, int(edited[s2]) = 0 s1 = 10298583, s2 = 7801530, d1 = 42, d2 = 28 Dl.O(d1) = 247980994,247981154,247981333,275098199,267718666,247981489,247981732,247981807,247981984,247981731,247981487,247981488,267718693,247981982,247981729,247981487,247981269,247981107,247981108,247981271,247981491,247981734,247981805,247981806,247981731,247981730,247981727,247981486,247981269,247981107,247981108,247981271,247981491,247981733,247981981,247981980,247981982,247981804,247981726,247981484,247981268,247981107,247980957 Dl.O(d2) = 275098064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10298583, s2 = 7801530, dlinesl.size( ) = 40 s1 = 7853280, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9660014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6484632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13221463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13221463, s2 = 11296213, int(edited[s2]) = 0 s1 = 13221463, s2 = 11296213, d1 = 13, d2 = 8 Dl.O(d1) = 1785535,1782731,1782730,3058427,5048377,3072374,3072375,3087312,3066719,1787631,1019269,574364,574363,254175357,3066711,5061777,7950488,8070919,11871257,7935115,7935116,11871258,7937420,5047640,3057757,3057758,5047641,3062044,1784897,1784898,3062050,3061813,3061812,1784767,1784765,3061821,5054079,5060137,5060139,254169090,16981471,16970522,254256966,5052132,3060827,3060829,3081934,5081406,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,3058147,1782596,1782597,3058199,5048093,7937924,7791776,4940296,4940295,7791728,7947889,7947888,7956096,7956092,11887561,11923055,7977175,5076498,5076496,7977171,11923047,7977167,5076493,3078518,3078517,5076488,7977163,11923041,11947400,11947398,11947387,7997232,7997233,7720393,4886527,4886524,7720389,7940604,7570307,254389756,16372218,11884899,11884900,16503232,16503231,18822771,13410263,9168725,9168724,10834737,7162102,7162103,10834746,8001614,5093953,5093952,7986872,5083143,5083142,7981767,7981363,5079670,5079669,7981356,5081000,5081002,3443393,3443392,5558632,7785525,4935544,4935547,5044005,3054476,1779766,1779765,3054471,5043993,7933290,11672960,7781981,4932449,4932450,7781987,5081395,5081394,7406144,7950787,7950788,11876581,7939519,7939518,254571528,7932537,7932539,11868375,11942123,15134679,10438422,10438423,11933436,13410478,13410477,17039881,11953599,11953598,11888098,7948104,7948106,11888100,13189957,17013424,16970395,16970394,16973229,16979427,12356052,12356051,11676877,7979023,267987615,5053446,3061492,1784601,1017687,1017686,1784597,3061484,5053428,7946307,11682701,11682649,11682600,7790318,7790322,11682608,11908652,11867053,11867052,15654272,11908116,11908117,11936875,11936874,16979433,16976844,11889859,7949661,7949662,11889864,16976854,11896509,7955289,7955290,11896516,16982663,17015049,16981249,11894747,11894745,11930136,7983377,7983376,11930130,11930010,11930008,7983345,5080968,3081718,3081720,5080981,7983368,11867995,11867997,11940970,17026064,13410472,11684650,11090468,7355201,4646215,254079738,1623529,2798746,4646223,7355221,11090511,8070034,8070035,11090492,15654175,10835293,7162452,5080394,5080391,254257588,11896019,11896018,16982246,17006502,15666228,11687644,11687642,16730166,11884847,7945622,7945623,11884849,16972387,17005542,11918896,11896911,7955588,7955592,5060545,5060541,7944079,5052139,3060832,1784290,254103496,3060816,3060817,5052106,5080708,3081583,3081582,5080706,3146807,3146808,5164001,8069699,12011720,16966983,11878890,11878889,16966982,23238303,16983334,16983333,19848470,254569454 Dl.O(d2) = 255979644,108694400,122959744,258837506,23576347,17264872,17264875,23576355,31059985,257466802,255407809,10708729,10708728,15485907,21491665,28751181,255747286,11170255,11170254,16084182,22215892,29561391,28413441,28413439,29141829,29141828,37702707,268608546,71771102,269774740,72347103,257528093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13221463, s2 = 11296213, dlinesl.size( ) = 8 s1 = 709982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7587151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7587151, s2 = 8289992, int(edited[s2]) = 0 s1 = 7587151, s2 = 8289992, d1 = 37, d2 = 53 Dl.O(d1) = 268608968,43876771,43876772,44514307,40254152,31566661,255581219,5487142,3377931,3377932,254864889 Dl.O(d2) = 268550277,27051522,35137330,44514301,39055958,255957799,16810340,16810339,20158372,20158373,27051526,35137338,41620704,37830900,37830901,34606026,26618092,26618093,256722519,43876964,41620703,41620702,47843318,37923397,32952800,257177769,257735287,41233023,32408200,24783524,24783525,26618918,34607035,32408194,24783519,18301956,12991120,12990985,8843927,5763676,5763675,8843925,12990982,18301773,255229477,12991040,8844010,5763725,3589991,2140332,2140333,3589993,5763728,254723482,254723480 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 314931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13549885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7974377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7900739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7900739, s2 = 13321954, int(edited[s2]) = 0 s1 = 7900739, s2 = 13321954, d1 = 24, d2 = 19 Dl.O(d1) = 255664830,12815523,8713379,8713378,12815522,255609001,32079254,36436125,27977400,27977399,31058594,23574971,23574970,256042288,40618888,31905209,31905208,30735395,30735394,39331841,268972645,38623325,38623324,256400187,22327225,22327226,256400189,30733930,255910896,22405996,22405998,17051240,11961804,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,29678304,24431622,23314879,17052000,11962278,11962281,17052009,17052185,11962393,11962391,11961614,11961612,17050834,17050833,17051967 Dl.O(d2) = 25373446,25373447,19648376,16299903,16299902,17740513,12552422,12552423,17740515,24099193,23214042,16942212,11857420,7924515,7924514,8622701,9373153,6139969,3841619,3841618,6139964,254561385,5037534,7924428,11857298,16942068,13686820,9373167,6139977,3841623,3841625,6139982,9373174,13686829,13382327,9147221,5985933,5985932,8622697,5606139,5606138,8622695,254561404,16455678,11465529,254252078,2907577,2907579,4825032,7626292,11465561,16455742,22646438,30018815,30018768,30018767,30639058,23215844,16943666,11858496,7925260,7925258,11858494,16455692,11465535,11465536,16455698,16942055,22468129,16299921,16299922,22468134,22646393,22646394,23215285,23215284,30018790,38591287,30639018,23215802,23215803,20156620,14460092,14460093,20156625,27049491,30018715,30364914,35135161,44512091,55358704,48506283,48506284,48506267,38591306,30018694,30018695,30018649,22646306,16455651,16455652,22646311,22646325,30018675,38591282,38591304,38681801,30104813,30104812,38681797,48597950,59899901,48506252,38591294,38591295,48506166,38591209,30018617,22646297,22646299,30018635,38591231,31489395,23992126,23992125,31489390,38951190,47008328,40174479,31489360,23992106,23992108,27049440,35135131,44512067,55358687,48870905,40174489,31489371,23992111,17647589,12475122,8445045,8445046,12475127,17647601,254850146,31555634,40174444,31489329,23992088,23992090,25818903,19168772,13688205,9374188,6140799,6140800,9374190,13688210,19168781,25818917,33619251,40241782,42646894,50032888,50032889,61511114,61681179,61511057,50032788,50032787,42646957,42646958,40014239,40014210,40014211,38215637,29649153,22297259,17508122,12345519,8340658,8340659,12345521,17508127,23850688,31344101,37941139,37941138,38215641,38215640,40014207,50032860,61511095,65083334,53097506,42646890,33619282,25818878,19168757,13688199,13688198,19168756,25818874,33619276,42646882,256016128,23843881,23843882,31335847,39401816,40014242,31335936,23843985,17502975,17502974,23843981,31335928,40013925,31335522,23843473,23843471,31335515,40013912,50032639,40014214,255174960,48694458,40241694,40241692,50260859,50260858,48316269,38405632,254409564,22467273,29833878,38405634,31555339,24051002,17697222,17697221,24051000,24050991,17697215,12516917,8479715,8479716,12516919,17697217,24050993,22467221,16299264,16299265,17697504,267913064,24051564,31555667,31555666,40241396,31555809,31555412,31555413,40241489,38405616,31555653,24051366,24051367,22467226,22467225,29833846,24051009,17697225,254658736,5481233,3372917,3372916,5481230,267755956,4767382,2873822,2873821,4767380,7536477,11340928,16299253,17697697,17697696,24051314,24051313,22467255,16299293,16299292,16299276,11340938,7536486,4767384,4767385,7536488,8479981,12517202,11340962,7536505,7536504,11340957,12517179,17697505,24050960,24050959,24051447,24051441,17697591,17697593,254303282,17697307,22467275,17697205,12516913,8479713,8479712,12516909,12516956,8479749,8479750,7536475,7536476,11340925,16299261,22467214,22467197,16299249,16299250,12517324,12516973,8480052,8480051,12517319,11340952,254106582,2873828,1667945,1667946,2873831,4767400,7536510,11340969,16299303,22467262,22467263,17697580,17697582,17697192,268001902,5481449,5481448,8480009,12517246,17697595,24051444,24050968,17697200,16299268,12517007,8479810,8479809,12517003,9539082,6258026,3917670,2345072,1358411,1358413,1341647,1341649,2312670,3860468,6108145,9324848,13618189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7900739, s2 = 13321954, dlinesl.size( ) = 20 s1 = 6492047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6492047, s2 = 14525347, int(edited[s2]) = 0 s1 = 6492047, s2 = 14525347, d1 = 38, d2 = 51 Dl.O(d1) = 255169356 Dl.O(d2) = 5096678,267901571,11959345,17047431,23308930,30726696,39324467,49250861,258210839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6492047, s2 = 14525347, dlinesl.size( ) = 2 s1 = 6492047, s2 = 14525347, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6492047, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 6565908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6565908, s2 = 11265962, int(edited[s2]) = 0 s1 = 6565908, s2 = 11265962, d1 = 57, d2 = 48 Dl.O(d1) = 256029492 Dl.O(d2) = 114062434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6565908, s2 = 11265962, dlinesl.size( ) = 24 s1 = 10148842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10148842, s2 = 12035618, int(edited[s2]) = 0 s1 = 10148842, s2 = 12035618, d1 = 1, d2 = 104 Dl.O(d1) = 15994017,11103026,7363147,4650933,4650932,254764713,11103022,7363144,7363143,255449345,22104723,29437500,32684658,255451126,15994004,255238625,255238623,255238629,13127886,18478718 Dl.O(d2) = 140264547,271781499,99073629,85149191,258083133,269791397,58854947,47470763,47470762,58854945,258706981,85149342,99073847,113062234,113062213,113062212,113062407,99073809,85149320,71580194,71580192,85149315,99073797,258706987,71580165,58854862,58854861,71580161,85149277,99073745,113062319,99073962,99073947,85149429,71580268,71580269,85149238,99073680,85149340,71580203,58854880,58854881,58854926,58854925,58854840,47470694,37563806,256892857,58854799,58854796,71580093,85149178,85149352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10148842, s2 = 12035618, dlinesl.size( ) = 2 s1 = 10148842, s2 = 12035618, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10148842, Dl.E( ) = 114, 4.79e-05 seconds used appending s1 = 8338705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6511835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7828247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7828247, s2 = 11106338, int(edited[s2]) = 0 s1 = 7828247, s2 = 11106338, d1 = 0, d2 = 38 Dl.O(d1) = 11591758,7716319,4883937,2942909,254170223,306001,306006,546379,970141,1706714,1706763,1706764,2943156,4884308,255499329 Dl.O(d2) = 266442302,274356514,264265518,262784210,271840633,49342326,257028910,255981666,15480328,254915168,4452721,4452722,7072354,10704943,15480345,19871036,14237129,14237130,18334840,24827636,25916377,26661733,19847018,14218977,14218976,17241521,12124413,12124411,17241517,23549395,31030501,34653304,26661723,26661721,34653301,43926620,54669075,257332278,80351634,94405858,108692956,100467250,257779388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7828247, s2 = 11106338, dlinesl.size( ) = 36 s1 = 7943657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7943657, s2 = 2928319, int(edited[s2]) = 0 s1 = 7943657, s2 = 2928319, d1 = 21, d2 = 7 Dl.O(d1) = 254589252,10006298,10006303,7901652,5022787,5022788,7901679,10035040,6594862,6594863,10035064,14583971,15289885,15285771,10551315,10551313,15270139,10537045,6967010,4376969,4376970,4376930,2621614,1513233,1513232,1513260,1513259,2621665,4377044,6967142,10563261,15271444,10538191,10538192,15271448,15272339,15272337,10566405,6969321,6969323,6968940,4378154,4378153,6967169,6967168,10563304,10562901,6966925,6966899,6966898,4377025,4377024,4377042,4377044,6967142,10563261,15271444,15271443,17163158,12066877,12066876,15305468,10569377,10569378,15305471,15286846,12055351,12055352,8109803,8109802,10531639,6945586,6945587,4367035,2616662,1510898,856795,483873,483871,856813,1510938,2616727,2623766,2623765,254409211,8472348,6949448,6949449,10537599,10560389,15295775,18950476,18961157,13525277,9256393,9256395,255023269,10536641,9768215,9265107,9265108,13535314,12374560,9941606,9941605,9236540,9236541,8103393,8103394,5771227,5771228,8854782,13006127,9942099,8104994,5335146,3791460,2271237,1317254,751582,427004,427002,751574,751916,1317895,2272480,3792622,6059201,6059203,6060494,9253686,10700257,10700260,13514325,10842532,10842536,9247323,9247320,12492361,12409103,10700632,7069538,7069537,10700626,15474224,15474222,18933554,13498087,13498088,18933562,14448310,9939909,9939911,14448317,17150393,15284729,10550236,6966478,4376676,4376674,6966465,10562215,6974386,4381351,2623888,2623890,4381339,3789894,2270423,2270421,3786028,3786030,4381533,2623993,1514396,1514398,2623998,4381543,6059276,9250214,6058159,6058162,8115702,5199365,3172029,3172030,5199369,255538171 Dl.O(d2) = 101164202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7943657, s2 = 2928319, dlinesl.size( ) = 20 s1 = 10348236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7564895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166324, s2 = 14892914, int(edited[s2]) = 0 s1 = 14166324, s2 = 14892914, d1 = 10, d2 = 79 Dl.O(d1) = 19586772 Dl.O(d2) = 43279666,53804493,65872371,79236309,93363540,105847868,91640127,91640126,91640129,77713168,77713169,77713170,64532178,269084095,33268796,25508128,18897693,18897694,25508131,25046495,18510630,17876366,17876367,24253985,28526638,21304726,21304725,28526636,25046500,18510632,13151554,8963972,8963971,8963973,5851526,3652330,2184108,2184109,3652331,5851528,8963975,13151555,18510634,25046505,32735764,41644402,51950438,269973433,76873772,90752278,104932428,118542110,259611205,258357157,51613941,41387893,32537367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166324, s2 = 14892914, dlinesl.size( ) = 60 s1 = 8146073, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14166326, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9156103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7603978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13294407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10158712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158712, s2 = 4986121, int(edited[s2]) = 0 s1 = 10158712, s2 = 4986121, d1 = 38, d2 = 33 Dl.O(d1) = 255055460,64165146,52313607,41973182,33030012,33030013,41973187,35349105,35349033,27226039,27226040,27226058,20297452,20297453,27226063,35349065,44774114,44768151,44768152,44768294,35342364,35342363,43179546,35341438,255759093,14559095,14558962,10018335,6584802,4125663,4125662,6584801,10018332,14558954,268343003,10018669,10018670,14559451,20289729,27218116,27218150,35342084,35343102,44768757,37648300,29099364,29099366,35342183,256236996,35348906,27225919,20297324,20297323,27218985,20290415,14559934,10018991,6585176,4125871,4125872,6585178,254985457,20290426,27218996,35342567,27218734,20290206 Dl.O(d2) = 206635645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10158712, s2 = 4986121, dlinesl.size( ) = 8 s1 = 10342263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342263, s2 = 7722365, int(edited[s2]) = 0 s1 = 10342263, s2 = 7722365, d1 = 28, d2 = 35 Dl.O(d1) = 259171318,39879287,39879288,49900747,42612186,256231182 Dl.O(d2) = 273714383 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9152216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9152216, s2 = 8126002, int(edited[s2]) = 0 s1 = 9152216, s2 = 8126002, d1 = 6, d2 = 4 Dl.O(d1) = 19776195,19776194,19679772,19679775,23164393,23164389,23164386,30582109,31261179,23776026,23776024,31261177,34292031,26415932,26415931,34292030,29313763,29313761,23347282,23347281,30770382,39371055,41892848,39179472,36738782,36738783,46626865,58003016,70719520,84271264,98166294,112127711,125963913,139315698,127195072,113336763,99334433,85390834,258298746,29179138,29179137,37740024,38209687,29643023,24250287,24250286,24245807,17869294,12654191,8591480,5582483,3463638,2054122,1178557,1178555,2054114,3463623,5582457,8591437,12654127,15223317,15223316,18881637,13455431,12653893,11405413,7579042,7579046,11405424,13455413,13455411,18881578,18881600,21192708,15229397,10505475,10505476,254320578,28414417,36912019,46789643,255780228,70871008,84428343,257380370,47381144,37473841 Dl.O(d2) = 257478182,32804233,25102337,25102338,32804236,41724329,48554459,50607894,50607893,62107147,63108953,257330538,41216206,256983940,63108952,72878081,60141509,60141508,58812293,58812292,60111072,60111073,268234326,33438387,25668778,25668779,33438388,38826926,48746912,255741104,255325910,85622435,254469828,254214288,29425252,22094514,254469824,37986930,47902874,59297690,50698868,50698869,49317793,49317794,59297688,59297690,255325908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9152216, s2 = 8126002, dlinesl.size( ) = 2 s1 = 9152216, s2 = 8126002, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9152216, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8126003, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6613505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6620885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6620885, s2 = 2112147, int(edited[s2]) = 0 s1 = 6620885, s2 = 2112147, d1 = 11, d2 = 24 Dl.O(d1) = 256625681 Dl.O(d2) = 167800111,178244872,187461495,195481770,187461492,178244871,262370597,156204688,143675230,261864917,167800107,178244859,178244866,187461487,195481765,187461486,263648201,202340960,202340959,195481756,195481757,263993957,195481778,263648203,178244879,178244880,178244867,178244868,187461489,195481768,202340962,208107342,264829139,219971568,218595032,215164724,210999418,205902536,199739984,192453839,183991125,174332905,163489643,163489642,163489646,174332906,163489645,163489644,151609997,138908562,125574820,111765589,111765590,97839810,83977683,70449713,57754577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6620885, s2 = 2112147, dlinesl.size( ) = 2 s1 = 6620885, s2 = 2112147, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6620885, Dl.E( ) = 28, 6.91e-06 seconds used appending s1 = 8070691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8026881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8026881, s2 = 14357235, int(edited[s2]) = 0 s1 = 8026881, s2 = 14357235, d1 = 12, d2 = 20 Dl.O(d1) = 255412271,10745386,10745385,15536999,21557589,28404002,21183089,15221747,10499892,10499893,15221753,11754213,7848161,7848160,11754218,16808995,21182279,21189016,21189015,28410507,24785749,22682336,16483990,11485215,7639088,4833019,4780567,2880853,2880854,4780570,4981294,4981449,3009228,1748008,1748007,3009226,4981442,7847467,11753047,16807299,22403924,21084064,255005090,10445058,10445059,15144717,15145146,21084618,28291198,256834849,258024207 Dl.O(d2) = 274673943,234089444,232958264,232958265,231708602,231708601,274606038,266147337,274567361,226978203,265435376,216625594,264568675,195253127,263246875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8026881, s2 = 14357235, dlinesl.size( ) = 14 s1 = 11661252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9670299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9670299, s2 = 14162249, int(edited[s2]) = 0 s1 = 9670299, s2 = 14162249, d1 = 35, d2 = 27 Dl.O(d1) = 21634365,15602818,15602819,17823684,15604640,10795624,10795625,15604642,15814531,15814532,21697549,254779194,16793151,16793152,254779196,21697591,15814890,10959614,10959615,15814892,13852182,13852181,16046701,16085047,16611781,16611782,16268607,11311625,7510260,7510261,10838612,7164946,7164947,10838615,15657653,17648784,12476692,8446878,8446879,10797480,7137331,7133994,4491470,2698515,2698514,4491467,7133987,10797119,9142313,5982673,5982678,8310132,5362064,5362062,8310123,12303529,11039801,7314220,7314221,11039806,15917601,12309429,10799113,10799116,12288002,17433729,23587440,255996581,23565769,23565770,29677312,22326277,16180663,16180664,255475778,17326986,12202017,8233514,8233515,12202019,17326989,15919212,15919211,16767256,17563775,17434551,17434553,17339707,255550921,15606037,10796791,7133712,7133711,10796790,15606036,11046610,7321409,7315872,4618157,2780808,2780810,4618164,4490069,4490068,4618819,4964389,4964388,4618910,2781261,2781256,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,4512918,7165356,8168072,5237581,3197173,3197171,5237577,8168067,12121559,12157229,12164228,12164229,17284878,255069391,7317317,4619308,4619307,5224383,7317315,8195430,8151856,8151857,5223121,3186265,3186263,3183533,1863162,1063036,597555,333050,333049,597546,1063003,1863101,254389043,1974148,254273451,5461747,8454442,12483786,17654646,23998773,255434748,61686744,256906542 Dl.O(d2) = 7260425,4578880,2754870,2754869,4578878,254754807,15828367,21910137,256365841,29226085,37788022,35389448,255762367,14589809,10039199,10039200,14589810,20329440,18754609,13354167,13354168,18754611,18754563,18754562,13354462,13354461,18755014,25334304,33063487,33062725,25333811,18754661,13354206,9126237,9126235,13354203,14189180,14188908,14188907,255314057,14188995,19808843,23859527,24343531,31866100,40567984,37773432,29211537,21897397,15818785,15818786,21897412,29211553,29211588,32751582,32751581,38487118,31189229,31189228,257056109,37773382,29211504,21897373,15818756,10962591,10962597,15818767,16204739,16204740,22356442,29711650,33052835,25324349,19642058,14078190,14078188,19642052,26375435,34252566,41128822,269455455,51094023,40950676,40950675,47694423,37773303,37773305,47694632,59093070,59093062,47694621,47694622,258720143,70390583,70390582,64783775,64783765,64783764,60207645,48810571,38888199,254531264,254531266,38888203,48810574,60207649,256305348,43876616,34605994,26618476,19809090,14189182,9754116,6413435,4023324,4023325,6413437,255314087,26618483,34114151,43200970,53713299,53918947,53918948,65770553,65770555,76150818,63142819,51443482,41244182,41244183,51443484,53683526,43173117,43173118,53683528,65739844,79095972,76150819,257732562,65739855,53683542,43173132,43173131,42795067,42795066,53247284,65236837,76891634,65739867,65739845,53683533,43173122,34089770,26228474,19513196,13967735,13967736,19513199,26228482,34089782,43173146,53683560,53683589,257143680,19513207,13967740,13967739,19513204,26228492,33763467,33763466,42795052,53247272,65236820,78527117,65236849,53247309,42795097,33763527,25954964,19290644,19290646,25954971,32338850,254638044,43201055,34114225,26249875,255226546,267854196,13934817,13934816,19470169,26171033,34012811,43070614,51087276,43201009,41107008,32296350,32296351,38980014,254428236,22989433,25954934,25954950,19290634,19290633,25954949,33763518,32165831,32165830,33148662,25408172,18817599,16751085,11705025,11705024,8746741,8746739,12861652,254889222,19513114,13967652,9590974,9590973,13967649,19513109,254630932,30403691,30403690,38992808,32296353,24685170,18218480,18218477,13777760,13051942,8891475,5800216,3618168,3608693,3608694,3690075,2209179,1285006,1285002,2214210,3697471,5914441,7801982,7802061,8890215,5799107,3875584,3875585,6192433,4010260,2403480,2403481,4010265,6390011,9712894,14117614,13750421,13750422,19244764,19634942,19599218,19599219,25037768,18503967,13146480,8960181,5848570,3649891,3649888,5848553,8960196,6234835,5618766,3869412,2317620,1343909,1343906,1344219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9670299, s2 = 14162249, dlinesl.size( ) = 36 s1 = 6654935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6654935, s2 = 8502134, int(edited[s2]) = 0 s1 = 6654935, s2 = 8502134, d1 = 6, d2 = 6 Dl.O(d1) = 256990832,258180166,169218372,179475233,188497364,196354676,203073659,208701504,213325035,217110346,220257561,219444193,216146292,212165558,207292364,262754878,216146294,263188256,216146325,219444257,217110352,213325039,208701506,208701480,203073636,196354660,196354661,203073638,208701483,213325019,217110325,219444209,219444208,219444250,216146321,216146283,212165552,207292362,207292363,203073681,203073679,201382411,196354667,196354666,203073646,208701488,262754870,212165457,212165456,216146190,216146315,212165590,207292395,207292394,212165536,207292348,201382404,201382405,207292352,212165540,216146278,219444221,262754876,208701516,203073667,201382438,201382439,207292387,212165580,216146308,216146207,216146208,219444161,222229601,220257528,217110301,262279482,203073630,196354657,188497356,179475234,179475233,188497364,196354676,203073659,208701504 Dl.O(d2) = 256990832,258180166,169218372,179475233,188497364,196354676,203073659,208701504,213325035,217110346,220257561,219444193,216146292,212165558,207292364,262754878,216146294,263188256,216146325,219444257,217110352,213325039,208701506,208701480,203073636,196354660,196354661,203073638,208701483,213325019,217110325,219444209,219444208,219444250,216146321,216146283,212165552,207292362,207292363,203073681,203073679,201382411,196354667,196354666,203073646,208701488,262754870,212165457,212165456,216146190,216146315,212165590,207292395,207292394,212165536,207292348,201382404,201382405,207292352,212165540,216146278,219444221,262754876,208701516,203073667,201382438,201382439,207292387,212165580,216146308,216146207,216146208,219444161,222229601,220257528,217110301,262279482,203073630,196354657,188497356,179475234,179475233,188497364,196354676,203073659,208701504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6654935, s2 = 8502134, dlinesl.size( ) = 2 s1 = 6654935, s2 = 8502134, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6654935, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8502135, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9082010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13240997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358647, s2 = 4900135, int(edited[s2]) = 0 s1 = 10358647, s2 = 4900135, d1 = 31, d2 = 24 Dl.O(d1) = 264888005,265487591,227550004,274555922,211693167,206739889,273991424,153306557,140627048 Dl.O(d2) = 262691965,185346834,263242470,201729298,194783664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358647, s2 = 4900135, dlinesl.size( ) = 8 s1 = 10350687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350687, s2 = 8113467, int(edited[s2]) = 0 s1 = 10350687, s2 = 8113467, d1 = 27, d2 = 23 Dl.O(d1) = 263076838,147848802,260495410,259274486,25804681,33601966,257820209,78335578,259274489,272823936,270843755,260004005,258760859 Dl.O(d2) = 2853258,1655779,942108,942107,254238693,4734864,254521059,2787103,3194843,3253538,3253537,5302746,8231015,11046783,11046782,8182741,8152681,5223748,5223749,8152685,8218574,5288569,3240213,1901120,1742339,989995,989994,1742333,3000209,3078537,3078536,5076521,7977202,8179658,8179657,12150004,11724060,7826658,4967836,4967837,5220394,3184542,1863687,1863689,3184548,2699034,2699033,4492471,7135691,10799732,11721397,11721396,11724039,8147898,254389113,1863490,1063193,597635,333087,183343,100497,100498,183348,333100,597665,1063245,1863546,1863544,2999258,2780661,2780660,4617926,7315502,11041190,7322172,7321233,5304867,3255533,1912375,1912372,3187405,3187404,5224946,5222001,3185539,1864200,1864201,1906259,3247355,5219987,5219988,8148094,7977187,7977188,8151838,8239764,5311979,5311980,4611275,4611278,2776477,1610644,1610643,2776475,3446128,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999371,4965362,4965359,3185693,1864293,1864292,3185689,5222207,8150873,5304821,3255510,1912364,1092137,613134,340978,340977,333175,183378,183377,333169,597841,1063591,1864338,3185775,3186923,3186924,5220132,4967029,2999997,2999998,4967031,254397653,1922670,1098408,1098407,1922665,3269785,5301958,3252755,3252754,1921342,1921341,254840603,17343542,23660361,25804698,32325200,32325204,24710166,24710165,268631516,5984418,3742033,2240179,2240178,3742030,5984412,9144944,10572750,255392931,12058712,8107813,5194582,3169545,3169546,5194584,8107817,5200090,5200088,8116874,254205446,8107588,5194451,3169490,3169492,5194457,5195133,5195130,267991191,23432692,268428724,30865449,30865448,257033195,256427084,41190035,38446928,37027501,28529487,21307179,21307180,28529489,36849652,28352039,21138183,21138184,15650659,15650658,21690355,17919264,12696042,8625286,5608171,5608169,8625281,12696039,17919258,24302753,31819085,39003055,39003056,40954545,32175144,24588903,24587953,255220165,8749687,8749688,12865740,18143279,24587866,18143669,12865978,8749804,8749805,12865979,12236098,12236097,17368116,23690561,29170307,21860801,15788477,15788476,21860799,29170306,31179136,31179137,26904473,20021483,20021484,26904474,255188192,17367560,12235776,12235777,17367562,268340671,35217154,257689471,43033966,43033965,40520354,40520353,255577332,31642983,31642982,31360652,23866565,17522501,17522502,18144859,258328813,61688517,50205705,40182898,31498144,24000600,17656375,17656370,12485767,8456897,8456896,12485765,17656365,24000583,31498124,29679899,22328497,16182383,11248228,11248227,14407853,20095254,25714874,255277357,9331088,6112184,254659383,13626933,19086528,17411033,17411034,23735647,31219354,36608580,257401351,70532063,72931097,86529575,72931099,60191729,48795032,38872612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350687, s2 = 8113467, dlinesl.size( ) = 12 s1 = 6914826, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2587687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6712562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10182269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13452683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2298821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7633981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7633981, s2 = 7367143, int(edited[s2]) = 0 s1 = 7633981, s2 = 7367143, d1 = 64, d2 = 75 Dl.O(d1) = 270299345,258987206 Dl.O(d2) = 265905817,231770578,266262087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7633981, s2 = 7367143, dlinesl.size( ) = 48 s1 = 7690007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8157095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8157095, s2 = 11074130, int(edited[s2]) = 0 s1 = 8157095, s2 = 11074130, d1 = 33, d2 = 25 Dl.O(d1) = 42019826,257779149 Dl.O(d2) = 262987708,161238306,261502310,269126390,26115328,26115330,19422047,13895675,13860557,13860559,19377055,26058994,33883220,37186533,28665447,21419441,17358562,12228708,8256530,8256526,12228700,254949092,26115331,258322009,32096083,32096084,40867822,38396647,29824275,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925873,13544380,16598506,16598505,268649425,258796993,259745356,268165096,81584849,254464654,27242675,20311843,14576783,254095120,27242670,35366004,44790279,55697580,254679330,95618880,109823798,111859061,97924857,84054140,70519014,57817673,46461494,36595186,28122026,255369381,15036360,20944713,255720656,36595189,46461500,57817683,267942828,50225590,254464648,50225586,50225584,254960334,55697576,55697566,44790265,35365998,35365999,44790266,254464632,46461502,254960328,254960330,97924875,268528106,256190976,70519025,84054153,81584839,68095009,68094994,254679322,81584824,68095000,254464634,44790273,44790272,55697571,68095006,81584833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8157095, s2 = 11074130, dlinesl.size( ) = 26 s1 = 10356778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356778, s2 = 10980616, int(edited[s2]) = 0 s1 = 10356778, s2 = 10980616, d1 = 74, d2 = 73 Dl.O(d1) = 262969559,262513310,261485638 Dl.O(d2) = 193864839,185608164,176146199,165466917,153687712,141021629,127673675,113805778,99791963,85839290,85839289,72247499,59513144,59513143,48125665,38215377,38215376,38215378,29648870,22296892,268108963,12229135,16151684,11221264,255462555,29648867,38215374,48125660,43032712,43032713,53511203,257187045,33049118,33049117,41992490,46609221,46609222,51097583,40954838,39863204,31180749,23690991,23690990,31180746,36721188,36721187,39861996,31179379,31179378,31178769,23689439,23689438,31178264,23689005,17367119,17367120,23689015,31178279,27094782,20195676,14490617,9970235,9970237,14490627,9970278,6552599,4104978,4104979,6552605,9970292,14490724,20195834,27095021,35183809,39342106,256003697,23690035,22348678,16198548,11260333,11260335,13919564,11260322,11260323,16198521,22348516,16198446,11260288,11260289,16198453,16198435,11260278,11260279,10924488,10924489,15771947,21841543,29149722,37709974,31178343,23689078,23689081,23689084,23689086,23777505,17447524,17447527,21115013,20196186,254980861,9970467,12865975,8749801,5696743,3544553,2110600,1216065,1216064,2110598,3544547,5696732,254889527,15169018,15169017,21114985,23777494,17447517,17447518,12865920,8749774,5696729,267920551,12865922,18143565,24588263,32174414,27010867,20118970,20118969,22288471,21653395,21653396,255417653,10807108,10807109,10807067,10807068,15619087,10806712,10806711,10915076,10807144,7141093,254512333,4548620,7219315,7142721,4497351,2702317,2702318,4496293,2701696,1565349,890003,502177,502176,502179,281605,281606,502180,890005,1565351,1565501,890117,890118,254121073,281747,155553,155503,85313,46753,46752,85310,155496,281644,502210,890052,889947,502488,281783,281784,502493,890064,502222,502221,502077,281550,155451,85281,85282,155456,281558,502083,889770,502037,281530,281529,502032,889765,890033,502195,281615,281616,502200,281826,281825,502564,502470,281772,155570,85353,85354,155532,155531,281698,281668,155512,85321,46756,46757,85322,155515,281672,502289,890187,1565580,2702012,4496925,7142081,7143512,4497966,2702763,2702764,4497783,2702600,2702601,4497785,7142652,7142653,7142654,10809463,10808407,10808408,15621378,21656501,22184850,16057913,11149754,7395238,4671904,4671905,7395242,254352138,7416967,7416966,10807554,15620214,21655048,28932589,29772429,22408797,16245459,11294351,254165890,2856733,2856728,4740111,7441127,7386087,4666181,4666180,7386084,11135506,11214822,16143132,17582194,23923223,31412787,29639877,254769792,254769790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356778, s2 = 10980616, dlinesl.size( ) = 26 s1 = 6949737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1043706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8534548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1650592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7859015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6883802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6883802, s2 = 11493562, int(edited[s2]) = 0 s1 = 6883802, s2 = 11493562, d1 = 23, d2 = 65 Dl.O(d1) = 259637790 Dl.O(d2) = 263581365,194385447,201403753,201403752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6883802, s2 = 11493562, dlinesl.size( ) = 2 s1 = 6883802, s2 = 11493562, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6883802, Dl.E( ) = 76, 2.88e-05 seconds used appending s1 = 8411401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661256, s2 = 11659115, int(edited[s2]) = 0 s1 = 11661256, s2 = 11659115, d1 = 58, d2 = 56 Dl.O(d1) = 55458654,67800223,67800266,81268031,81267996,258528656,95327391,81267998,78619195,258881120,32827228,25122982,25122983,25122469,18570853,18570854,21119687,15172339,15172340,18573170,255244419,255244417,25126305,32831275,257175595,33817633,26001580,19329005,13821991,13821992,19329007,256683581,53322346,258451133 Dl.O(d2) = 257915044,67705029,67705031,70550892,57848976,257183132,256286091,41945644,52286186,44519282,44519281,55365309,62695505,51066436,51066437,59024800,59024801,54645290,43902104,34629642,26639748,26639749,34629646,43902108,34629967,26640006,19827924,14203740,14203741,19827927,268538517,54645674,256724292,64203632,52353272,42013875,33069518,25339547,18759514,13358209,13358208,18759513,25339546,33069515,42013869,52353264,64203621,77351290,91271296,105493618,119732237,133606030,146862901,146862899,146862900,146870573,133614005,119740429,112640126,112640125,112640124,257190096,71143096,58421353,47046470,37155646,28639883,21399402,15413132,10654154,254732175,4420750,2652195,1533722,1533723,2652196,267882749,10644199,15400315,15401801,15401802,20276882,14548684,10010663,6579529,4122286,2466084,2466083,1526711,1526713,2642362,4407502,7010747,10622671,15373034,21348716,20246855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661256, s2 = 11659115, dlinesl.size( ) = 72 s1 = 8392787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8392787, s2 = 6652671, int(edited[s2]) = 0 s1 = 8392787, s2 = 6652671, d1 = 13, d2 = 4 Dl.O(d1) = 37022756,258041161,259292193,260026836 Dl.O(d2) = 256970934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8392787, s2 = 6652671, dlinesl.size( ) = 8 s1 = 15062942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1210646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358179, s2 = 2419670, int(edited[s2]) = 0 s1 = 10358179, s2 = 2419670, d1 = 64, d2 = 94 Dl.O(d1) = 265129532 Dl.O(d2) = 261187136,173180849,183034770,263162946,273994008,257533832,255914300,25941205,22289905,16145800,11216899,11216900,15897128,11020486,11020489,15897135,13780657,13780655,13781047,13780787,9448472,6194437,3877082,3877083,6194441,9448480,13780801,11385640,11385641,16360730,22534231,268227464,19278698,14539795,14539794,20265063,19278710,19278711,25941510,27189165,27189055,20265165,14539884,14539691,10003693,6574050,6574049 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6725736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6725736, s2 = 7017002, int(edited[s2]) = 0 s1 = 6725736, s2 = 7017002, d1 = 119, d2 = 108 Dl.O(d1) = 257758980,41049968,41049969,258960775 Dl.O(d2) = 261409385 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7017001, s2 = 6830011, int(edited[s2]) = 0 s1 = 7017001, s2 = 6830011, d1 = 88, d2 = 87 Dl.O(d1) = 261409384,260800921,144945884 Dl.O(d2) = 132985762,260800920,258960774,32752659,32752658,257758981,60170829,48776367,48776368,60170833,72907846,269097144,53876323,53876325,65944010,79308493,93438870,259064946,93439011,93439012,259064930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017001, s2 = 6830011, dlinesl.size( ) = 33 s1 = 1031241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1031241, s2 = 7706828, int(edited[s2]) = 0 s1 = 1031241, s2 = 7706828, d1 = 32, d2 = 49 Dl.O(d1) = 26030417,26030418,25763055,25763054,33552663,39523576,39523574,255904064,256942432,115308061 Dl.O(d2) = 92721205,273259110 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350545, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13620515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9441304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6848951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8116907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8116907, s2 = 6745357, int(edited[s2]) = 0 s1 = 8116907, s2 = 6745357, d1 = 218, d2 = 142 Dl.O(d1) = 44440030,44440031,255368302,70507662,256819802,259260665 Dl.O(d2) = 258022456 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7036057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7036057, s2 = 10346250, int(edited[s2]) = 0 s1 = 7036057, s2 = 10346250, d1 = 22, d2 = 21 Dl.O(d1) = 156834975,261674860,260547168,163473906,156834973 Dl.O(d2) = 261124886,156834976,168303502,178639277,178639278,168303504,156834980,156834979,168303503,178639278,178639279,168303505,156834980,262172180,75424324,258701568,117390920,271286191,57744851,46394355,46394354,57683897,256162820,50464024,268263494,40426171,47709581,59107709,71846358,85431951,71987286 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13479009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10356298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356298, s2 = 4602459, int(edited[s2]) = 0 s1 = 10356298, s2 = 4602459, d1 = 38, d2 = 12 Dl.O(d1) = 262947315 Dl.O(d2) = 185025146,263005616 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9702291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13184597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8554597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8554597, s2 = 11558022, int(edited[s2]) = 0 s1 = 8554597, s2 = 11558022, d1 = 48, d2 = 40 Dl.O(d1) = 12930831,18230518,24700578,32314319,41127539,51310625,62989135,75971319,89750298,103854344,117999565,131827543,145087062,260805765,259593405,89750306,103854350,89750303,75971324,75971323,259593403,117999571,259593407,51310629,41127544,32314322,32314323,41127545,51310631,259593409 Dl.O(d2) = 235909995,274600532,230098415,265734929,265734931,265811910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8554597, s2 = 11558022, dlinesl.size( ) = 26 s1 = 14166336, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9663050, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8685107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10224478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6887314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8178255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6918715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8532607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6920479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8523609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10286959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10286959, s2 = 13258934, int(edited[s2]) = 0 s1 = 10286959, s2 = 13258934, d1 = 37, d2 = 32 Dl.O(d1) = 239959558,266769330,238122311,237392457,266704800,237392466,237392459,236589376,236589377,237392460,266726161,238122318,237392468,237392469,238122316,237392465,236589379,235708409,234740164,234740163,235708407,236589375,266726159 Dl.O(d2) = 84775520,259308525,84775519,84775518,71206307,58484316,47105999,37209224,255691008,15440992,10675134,10675133,10680235,7054983,4441222,4441221,7051003,4438138,4438139,7051005,10675140,15349285,254729903,6996131,10603499,15349288,21319826,15349396,10603623,6996238,4396801,2634718,1521457,1521458,2634721,3646031,3646032,5842837,8951851,12824851,8719345,5675546,3529997,3529996,5675544,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,380140,682205,267775457,3530314,5676127,254680340,6518404,4084201,4084202,6518406,9918372,9505659,254947449,15353791,10606729,6998316,4398076,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,13349825,18751137,18090706,13739613,9413208,6167423,3859030,2311860,2311861,3859032,4398751,6999356,10608052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10286959, s2 = 13258934, dlinesl.size( ) = 24 s1 = 7024501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024501, s2 = 11347584, int(edited[s2]) = 0 s1 = 7024501, s2 = 11347584, d1 = 12, d2 = 23 Dl.O(d1) = 261518827,260355671,258477175,43304974,53829931,65897289,260355673,262547279 Dl.O(d2) = 254151171,254310861,254676197,254462419,2388534,254310861,255304729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024501, s2 = 11347584, dlinesl.size( ) = 2 s1 = 7024501, s2 = 11347584, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7024501, Dl.E( ) = 28, 7.15e-06 seconds used appending s1 = 7028757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7035863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10229643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10229643, s2 = 10526708, int(edited[s2]) = 0 s1 = 10229643, s2 = 10526708, d1 = 81, d2 = 90 Dl.O(d1) = 53230157,53230159,65218846,78507786,79331416,65968105,65968106,79331422,70537210,70537209,259882713,262623629,262759148,272877510,271824758,114457196,128334193,272874917 Dl.O(d2) = 221519382,273928666,205980376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8411021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6963641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9687843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9687843, s2 = 9735714, int(edited[s2]) = 0 s1 = 9687843, s2 = 9735714, d1 = 51, d2 = 36 Dl.O(d1) = 36582972,28110594 Dl.O(d2) = 261273047,262325259,262204623,261667880,127186986,140533274,142859614,155442349,142859587,129540588,129540587,115654245,101613166,101613170,260561149,99325094,99325095,113327965,113327931,259938702,71792053,59050816,47649660,37727881,29167865,29167864,21858665,15786507,15786506,21858660,15786502,10936576,7236314,7236313,10936574,15786498,21858655,29167867,37727882,47649661,59050820,71792063,257522581,38249980,29684905,29684904,38249978,48159165,58005462,70720999,72922680,60183607,48787162,48787163,59924860,59924861,72665173,72231843,72231842,72408087,72408086,72306322,258134363,48186408,38277147,29710714,22355617,16204059,16204060,18352087,16376544,16376545,18351802,18351803,16203953,16203956,12462240,12425888,12425886,11915960,11915961,12298158,17446588,22198306,16255786,16255783,17473053,16254395,11300816,11300819,16254408,18352125,22420283,16254821,16254823,16777884,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17472877,17472878,23806020,26577599,23019283,23019282,17473348,254961700,16254243,22419675,23805809,17472645,17472644,16254148,16254149,22419552,24847480,29710924,22355892,22355891,29710057,256408513,268638745,24847786,18351738,13028685,13028689,13028803,8871843,8871841,12318611,8320676,8320677,12318612,8958953,5847703,3649278,3649277,3649229,3649228,3649247,3649248,254637395,5847605,8958798,13144597,13145163,18502164,25035346,32722176,41628483,51931623,63741889,76846736,88510564,88510563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9687843, s2 = 9735714, dlinesl.size( ) = 14 s1 = 6968121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6968121, s2 = 8396681, int(edited[s2]) = 0 s1 = 6968121, s2 = 8396681, d1 = 9, d2 = 16 Dl.O(d1) = 260722785 Dl.O(d2) = 263102801,164508165,262660983,184839303,264182665,200350447,263417568,262660985,261660129,112753462,98763341,271774203,274005684,164508165,152662928,261109411,112753460,98763340,258684299,71261862,84836024,98763342,271774205,126609400,259930395,98763342,271774205,126609401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6968121, s2 = 8396681, dlinesl.size( ) = 18 s1 = 7224740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224740, s2 = 8354748, int(edited[s2]) = 0 s1 = 7224740, s2 = 8354748, d1 = 172, d2 = 214 Dl.O(d1) = 264231844 Dl.O(d2) = 261980130,255669314,29254116,37819441,33322243,257799909,270532528,86135240,72535906,257541243,257525764,16400563,22583089,22623614,16655475,11623007,7741328,4901770,4901771,7741330,256446691,14024187,14024189,19576636,19577624,19577623,22840843,22840844,30232981,30234945,22842042,16619460,16619461,11595825,7719075,4885744,4885743,7719070,11595810,16623966,18168991,13509766,9640794,9640795,11592221,16618857,268415463,48441703,256188054,22602335,29967305 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10210699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10210699, s2 = 8171657, int(edited[s2]) = 0 s1 = 10210699, s2 = 8171657, d1 = 30, d2 = 34 Dl.O(d1) = 175907052,175907059,165198926,165198925,175907057,263852089,263852091,264567830,184706152,184706151,193071177,264175161,263838044,193692843,200790594,264162448,264162450,200249513,193678710,193678709,193692847,193692846,200790598,206312867,200249531,263838046,193071183,200249517,200249514,193071172,184706159,175125771,164327873,152454998,139729656,126353715,112486060,112486061,126353717,139729660,152455004,164327884,164327865,164327857,164327858,175125744,164327859,164327860,175125747,175125812,184706198,184706138,175125756,262165563,152454991,164327864,175125753,263492151,193071162,184706131,175125750,164327861,164327862,164327887,262649493,263492155,200249529,200778859,193678707,185397083,263089374,165348265,153558480,153558479,153558478,165348262,176039168,185509653,193774325,200861451,273636458,197901115,197901114,200249548,193071200,184706191,262649495,262649497,175125804,164327902,164327903,175125806,165348261,165348260,176039165,185509649,193774323,194627548,194627547,194627534,194627535,200249539,206312872,264210268,186478445,177128090,177128091,177128044,166550949,166550948,177128042,186478413,177128049,166550954,166550955,177128052,186478422,186478394,177128025,177128026,166550968,154846433,154846434,166550971,177128074,186478436,177128081,177128082,177128060,166550962,154846428,142210638,128852874,128852872,261788043,128852887,128852854,114952366,259981292,73309223,60566039,49166678,39240592,30643584,30643585,39240594,49166681,60566045,258827061,100002411,86040105,72442070,72442071,258768451,72442075,86040113,100002421,114028999,127909405,141270063,127909428,114029021,260011955,100002425,86040116,72442081,59705959,59705958,72442079,260011951,127909408,141270065,260107246,100002454,86040137,72442095,59705971,59705972,72442097,259393653,260612191,100002440,100002439,114029009,127909418,127909440,127909437,114029037,100002472,86040155,72442110,59705980,48319258,48319259,59705982,72442115,86040162,100002477,100875839,100002465,86040144,259393655,100002478,114028995,127528135,113656320,99642579,85693730,72108098,59375703,50213532,50213533,61695327,74477747,72108115,59375723,47985713,256386165,29509268,257508653,72108114 Dl.O(d2) = 180694855,186211273,176819361,166204243,154472754,141828197,128475294,114589527,100557516,86595800,72998095,60262543,60262542,72998093,86595796,100557509,271824893,114589503,117440123,131249394,140541855,127195896,127195895,140541854,261688655,127195884,127195883,140541838,140541864,140541863,140541860,127195902,127195903,140541862,272262790,153223715,153223696,140541835,127195900,113337435,99335002,85391358,71803190,71803191,85391360,99335007,113337410,113871062,106899519,99335016,85391378,71803206,71803207,85391380,258093367,59062570,59062569,269867785,49849526,61332697,74115095,71803202,59062565,47662438,37740549,256903345,59062556,47662432,47662433,59062558,65965821,65965820,79329073,91690832,79329077,65965825,53899639,43375827,34276913,34276912,257268677,257207733,257207735,64580279,71803203,79329078,79329079,93459542,270526009,64580255,52679863,42293343,33313139,33313141,257798843,77763294,77763308,77763307,258750577,72222779,258808306,270345289,48860973,38941493,38941492,257577013,59486246,256937605,38185795,48097329,59486247,64580274,64580273,72939649,256992296,42106771,38882938,38882937,30297614,22899344,16669026,16669025,22899342,16721106,11679457,11634602,11634601,16669003,11634579,7750808,4908584,2958574,2958575,4908587,254801791,16669024,16669033,22899350,30297566,30297565,29312376,29312375,36439077,27979971,255357681,10259123,10259124,14919482,255782647,255357679,14919478,20816054,27979966,36439069,46292170,57636596,70327155,83852513,97711687,111633015,114924523,100874353,86894902,86894901,100874351,111633013,115207917,129139698,142176171,261045325,111633019,97711678,83852506,70327150,70327151,83852507,259864161,125436019,125436021,125436020,138765043,138765051,125436027,111633033,97711696,83852522,70327173,57636611,57636612,70327175,83852524,97711703,111633040,125436033,138765059,151466446,163350037,174202709,183872756,174202710,262121191,272510163,272510161,263458625,262608477,151466450,151466449,138765069,261167092,260647461,111633010,271283223,83852564,83852565,86565574,100526960,260019806,70327145,270788055,83852567,70327216,57636660,57636659,70327211,57636657,57636658,70327213,83852500,97711672,111633012,125436012,111633044,97711706,97711705,111633043,114163276,128052936,258870780,101129963,115207916,129139695,142517047,141534344,128176566,261744754,59967513,57636591,46292166,36439067,27979965,256269021,46292164,256806121,36439080,46292182,57636613,70327176,83852527,83852514,258248326,57636640,46292202,36439092,36439091,27979986,27979987,25550518,25550519,256509842,39430887,39430886,49360459,57636618,70327180,83852532,83852542,269760317,46292196,46292187,46292188,36439094,27979985,20816067,14919487,10259126,254996413,20816069,27979989,36439099,46292211,57636652,270271019,70327200,57636647,46292209,36439097,256806125,57636645,70327199,64578805,257656742,33311967,33311966,42292114,52678539,64578803,77761538,83852540,257994897,46292195,46292185,256269023,27979976,36439084,46292190,57636624,70327185,70327201,83852549,270788057,83852555,83852543,70327186,57636635,57636637,70327191,83852551,91226753,77307036,64158974,52307722,41967286,33024298,33024301,41967289,41967176,33024221,25297879,18723414,13328716,13328717,13328689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10210699, s2 = 8171657, dlinesl.size( ) = 8 s1 = 9692038, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7101537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9326776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7013717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7013717, s2 = 11016198, int(edited[s2]) = 0 s1 = 7013717, s2 = 11016198, d1 = 15, d2 = 0 Dl.O(d1) = 261348980 Dl.O(d2) = 15428334,255034920,15432408,15432409,13870557,13870556,256170559,28137021,28136936,28136935,36610705,46476654,36610808,28137046,20958966,20958967,28137026,28137025,268374027,20958945,21123092,15174882,15174881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7013717, s2 = 11016198, dlinesl.size( ) = 30 s1 = 8596629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6961695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8544031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8313113, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7091202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7018060, s2 = 7234178, int(edited[s2]) = 0 s1 = 7018060, s2 = 7234178, d1 = 13, d2 = 7 Dl.O(d1) = 261421615,272979701 Dl.O(d2) = 264349119 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13740341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6906489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6906489, s2 = 11333472, int(edited[s2]) = 0 s1 = 6906489, s2 = 11333472, d1 = 10, d2 = 2 Dl.O(d1) = 259954268,91819533,261453263 Dl.O(d2) = 155632551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6906489, s2 = 11333472, dlinesl.size( ) = 2 s1 = 6906489, s2 = 11333472, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6906489, Dl.E( ) = 20, 2.41e-05 seconds used appending s1 = 8657961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8657961, s2 = 9067442, int(edited[s2]) = 0 s1 = 8657961, s2 = 9067442, d1 = 31, d2 = 33 Dl.O(d1) = 261062574,179286743,262136976 Dl.O(d2) = 46468037,36601305,28127602,20949670,15040831,12934077,12934076,14946419,14946418,13338226,9113311,5962777,5962778,9113316,10266606,10266605,13338296,14561319,10019897,6585693,4846927,3723014,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8657961, s2 = 9067442, dlinesl.size( ) = 32 s1 = 7135860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7135860, s2 = 7261764, int(edited[s2]) = 0 s1 = 7135860, s2 = 7261764, d1 = 52, d2 = 59 Dl.O(d1) = 263074659 Dl.O(d2) = 264703895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7135860, s2 = 7261764, dlinesl.size( ) = 16 s1 = 8396680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14669524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14669524, s2 = 9514932, int(edited[s2]) = 0 s1 = 14669524, s2 = 9514932, d1 = 32, d2 = 30 Dl.O(d1) = 270305548,99782166,85828848,257478718,85828849,74244587,258878285,101823453,115870057,129769434,129769433,127003471,127003472,260556994,141012839,141012838,153053993,273110431,141012837,127664484,127664483,141012836,260556992,165458228,164890827,153053994,262201037,175646449,262201034,167282011,167282010,176137878,261134534,153679008 Dl.O(d2) = 234481872,235417658,234424374,233333159,265469212,229293874,227600052,225664223,223440730,220871407,217856683,214248693,209854148,204492675,198062621,190515877,181772435,171796912,160597898,148325885,135153475,121303690,107011310,92678935,87079399,73462245,60714232,60714233,73462248,258967115,103861834,258541956,62997116,62997117,75979712,255754578,55454540,67796543,81264583,87079387,87079388,92678927,95275326,81217537,67750982,55410375,44562672,44562671,55410373,67567992,55225032,44374253,44374252,55225031,67567989,255313902,64418354,64418352,66872817,54615080,54615081,55455578,44606984,44605927,44605928,55454574,66872894,66872893,80302210,81264597,80302198,66872874,54615163,43872894,43872794,34602761,34602760,43872792,44605937,35225110,35225111,268552188,54615153,55455449,44606866,44606867,37800563,37800562,255337788,55455688,47333511,47333510,55455622,67797550,72694876,72694875,81265473,67797528,67797462,55455524,55455523,67797460,61898740,61898739,73071615,256756424,39009816,30420500,23015439,23015437,30420497,39009809,39009821,256388442,48554469,38639707,30065149,30065148,38639703,36704268,28213141,21019644,21019647,28213271,28213160,21019577,15096812,15096811,21019591,28213179,36704303,46591125,36704411,256138166,57967393,46591033,36704462,268147168,46591029,36704395,28213233,21019624,15096832,10411997,6863345,4307373,2575587,2575588,4307376,6863354,10412016,15096866,21019678,28213306,28213083,21019529,15096778,10411969,6863334,4307367,4307368,254716787,15096782,21019536,28213092,30162005,30162004,28213076,28213075,36704197,39849789,31167674,23679320,17359006,12229039,12229038,17359002,23679314,31167662,30162022,22773135,22773132,30162014,31167652,26232119,26232118,29549827,38112708,38061761,38061763,31167735,28755420,28755419,30161997,22773123,16558390,16558391,22773125,22773104,22773103,17359195,17359193,23679521,28755431,36704183,30335779,30335780,36704180,46590999,53312449,48867052,38947316,30361233,25993128,19321961,13816475,13816477,19321956,25993119,30161973,22773101,22773100,30161971,38745151,48666888,257119736,72801622,86397519,100354496,114378536,128255401,141606199,154262318,166015364,176656763,186073347,194281271,201311608,207228068,212106713,216092478,219394554,222184532,224580219,226661155,225195983,222893815,220220610,217063766,213263344,208618487,202966542,196223180,188341299,179291898,169007136,157545886,261485830,118028245,103885574 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9514933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1769811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1769811, s2 = 7197856, int(edited[s2]) = 0 s1 = 1769811, s2 = 7197856, d1 = 13, d2 = 5 Dl.O(d1) = 46727457,268827141,268337879,268337881,13679975,254661763,6136253,6136102,3838946,3838944,6136086,9367789,9608398,13986817,19534182,26251930,28479922,36977293,46855861,254966940,22352951,22352950,22352993,22352994,25685399,19061815,19061816,13802036,13802035,270834906,261706536 Dl.O(d2) = 214173509,263890574,274618117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1769811, s2 = 7197856, dlinesl.size( ) = 8 s1 = 1928007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1928007, s2 = 6269946, int(edited[s2]) = 0 s1 = 1928007, s2 = 6269946, d1 = 83, d2 = 35 Dl.O(d1) = 49884085,272896883,140986175,261717167,262711175,273546003,263898127 Dl.O(d2) = 245201235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7668291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13734697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7047637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7047637, s2 = 11462408, int(edited[s2]) = 0 s1 = 7047637, s2 = 11462408, d1 = 46, d2 = 48 Dl.O(d1) = 261814365 Dl.O(d2) = 262619761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7047637, s2 = 11462408, dlinesl.size( ) = 2 s1 = 7047637, s2 = 11462408, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7047637, Dl.E( ) = 76, 2.6e-05 seconds used appending s1 = 7051372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7051372, s2 = 1799887, int(edited[s2]) = 0 s1 = 7051372, s2 = 1799887, d1 = 51, d2 = 119 Dl.O(d1) = 261859226 Dl.O(d2) = 57649378,255164846,256003472,58121285,70835732,84392677,98301147,112282745,112864051,98876743,84950943,71375054,58638499,47245108,47245109,58638501,258019419,46606301,46606300,57983317,70700940,74246011,74246012,61467390,61467389,74246018,78839486,78839487,78839488,84252549,84252550,98145959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7051372, s2 = 1799887, dlinesl.size( ) = 50 s1 = 8119407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6972439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6995264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6995264, s2 = 15257777, int(edited[s2]) = 0 s1 = 6995264, s2 = 15257777, d1 = 15, d2 = 2 Dl.O(d1) = 261121149,263868031 Dl.O(d2) = 98961020,257770126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6995264, s2 = 15257777, dlinesl.size( ) = 26 s1 = 9664820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8688621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7199987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7199987, s2 = 14250357, int(edited[s2]) = 0 s1 = 7199987, s2 = 14250357, d1 = 6, d2 = 21 Dl.O(d1) = 263916190 Dl.O(d2) = 259403528,269886063,31722401,255483286,12636796,8579912,5574674,3458113,2050086,2050088,3457972,5574386,3458027,3458024,5574469,8579518,254317166,20816283,16420342,15479407,15479406,16426226,16426227,22610488,28229469,22604104,16421125,16421124,22604101,255102488,24215932,31722997,30114220,30114221,34268559,26392439,26392438,24216538,17846107,17846106,24215928,17845545,254784036,8580209,10381988,10381987,254537550,12032734,8089296,8089298,9692260,6374932,4000017,4000015,6374929,9692245,14091618,19659289,23392540,26393597,22614141,22614140,26393605,23179714,16914816,11837796,11837795,16914812,14196342,14196341,16914809,22780761,16565303,14196349,14196346,10703159,254238278,267891574,13700109,13799459,13799460,13366434,9135031,9135030,12724234,8646009,5623359,3493699,2075626,2075627,3493688,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516625,6516624,9915999,14417516,15415989,13112321,9455343,6199443,6199441,9455341,13789720,15354370,15413396,21399670,21898387,15819702,13700123,13700122,254976044,18876559,13451667,9199155,9199156,13451669,18876562,15639823,15639824,18077113,13799350,13799348,19300065,20107189,19245435,19245434,25906299,23623230,17308169,12184792,12184793,17308172,16724076,254646000,18606148,18047517,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257658,3768016,6022949,268025691,18876699,21967191,254689790,25837038,19183754,18753580,13369303,9137194,7056614,7056615,4576662,4576663,254318258,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,4594351,2763985,254517843,268396759,258105029,259353923,261149351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7199987, s2 = 14250357, dlinesl.size( ) = 22 s1 = 8195841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8195841, s2 = 9269037, int(edited[s2]) = 0 s1 = 8195841, s2 = 9269037, d1 = 18, d2 = 16 Dl.O(d1) = 256164970,40790971,255290396,62508137,257101044,42324460,33343525,33343524,35090617,27008193,20116761,20116760,27008204,31862923,24340688,20116920,14426800,9923936,6522388,6521854,6521853,9923057,14425406,9923980,6522411,4086738,2444969,2444971,2444956,1413666,1413664,2444770,1413567,1413566,2444766,4086348,4086357,4086358,4086378,2444783,1413571,804261,455781,455782,804263,1413575,2444790,267871595,9922993,14425291,20114720,27005569,23199799,16930646,11849498,7919801,7919802,11849500,255968817,39218877,49145454,60544767,262298035 Dl.O(d2) = 266134317,265311794,216156173,264384212,263381252,271588964,44766910,35340639,27216699,27215590,20287229,14557267,14557269,14556706,14556709,17408771,17558419,12387656,10016767,6583736,6583737,5406314,3323665,3323663,3293531,3293530,5357843,8303881,8621995,255205497,18981293,25590593,254829158,23723674,17399817,12262176,8281050,8281053,12256661,8277615,8277614,12256657,8277890,8277891,12257137,15846528,10981772,7268927,4584029,4584028,7268921,10981760,15846514,21934213,17389353,12254072,8275903,8275901,12254068,17389347,268155386,260046175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8195841, s2 = 9269037, dlinesl.size( ) = 14 s1 = 8715129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8715129, s2 = 13447291, int(edited[s2]) = 0 s1 = 8715129, s2 = 13447291, d1 = 12, d2 = 15 Dl.O(d1) = 100806866,86825695,73212955,60466248,49062907,49062906,60466246,256594484,32383466,24763120,24763122,32145407,24562620,18123257,18123258,24562621,32145408,40922826,33105290,268679686,64253911,77403884,91322438,105540122,119773423,133643163,146896561,159267578,272899676,189627216,263238726,189627217,197312488,203867343,263624282,197312482,203867339,264283102,177788805,177788806,187062399,262338738 Dl.O(d2) = 64253910,64253911,77403884,91322438,105540122,119773423,133643163,261288328,262338730,189627204,263624280,177788811,272899679,155662968,262810446,170602901,159267579,146896562,146896561,159267575,262338740,263238725,167294576,167294577,177788806,187062399,189627211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8715129, s2 = 13447291, dlinesl.size( ) = 14 s1 = 7089672, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7180072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7180072, s2 = 10258266, int(edited[s2]) = 0 s1 = 7180072, s2 = 10258266, d1 = 3, d2 = 5 Dl.O(d1) = 218880157,215499445,215499444,265175673,224183527,221734464,218880161,215499442,264690030,206402005,211407768,215499431,211407756,206401991,200349690,195874734,187945530,263644174,144697004,144697003,157098383,152652061,152652062,262660743 Dl.O(d2) = 262583858,164502013,164502012,175276205,164502056,164502055,175276248,184837067,273703469,263440802,184837039,184837038,193184887,200349695,264470937,264964223,265142476,215499432,273830700,193184914,184837074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10258267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10258267, s2 = 7106288, int(edited[s2]) = 0 s1 = 10258267, s2 = 7106288, d1 = 4, d2 = 1 Dl.O(d1) = 183432022,191990444,273830701,214940424,265142477,264964222,264470936,199352594,191990417,183431984,183431985,263440803,273703468,183432015,173641583,162615845,162615846,173641540,162615802,162615803,262583859 Dl.O(d2) = 262660742,150491911,150491910,162615851,167723636,167723637,263644175 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8388151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8388151, s2 = 11037338, int(edited[s2]) = 0 s1 = 8388151, s2 = 11037338, d1 = 43, d2 = 30 Dl.O(d1) = 256946944,55676448,52294011,41953130,33010903,33010902,256637943,30252999,22858018,22858019,258800743,260409799,109570560,261563685,262584921 Dl.O(d2) = 258061898,23724642,17400768,17400769,23724645,22776701,16561557,16561561,18954531,23715165,23715164,23578886,17267058,12146508,8375134,8375137,12393080,254735702,15848031,21170539,19834249,17393948,12260456,8279980,8279981,8284935,8284933,12268597,17408832,255100651,7590401,254359559,1712842,973339,254170663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8388151, s2 = 11037338, dlinesl.size( ) = 62 s1 = 6799485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7108554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8822065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7233233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7233233, s2 = 7183122, int(edited[s2]) = 0 s1 = 7233233, s2 = 7183122, d1 = 17, d2 = 11 Dl.O(d1) = 264335208,273614536 Dl.O(d2) = 263690746 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7183123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7183123, s2 = 7719012, int(edited[s2]) = 0 s1 = 7183123, s2 = 7719012, d1 = 12, d2 = 16 Dl.O(d1) = 263690747 Dl.O(d2) = 273614537,264335209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7183222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9229780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4250544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4250544, s2 = 2774150, int(edited[s2]) = 0 s1 = 4250544, s2 = 2774150, d1 = 37, d2 = 8 Dl.O(d1) = 163372911,151489276,138787880,261599929,163372915,174225563,264440079,264474874,176318422,263160345,264187218,184604251,273034026,265693853,264507548,263906030 Dl.O(d2) = 25584983,255269753,9269516,254928713,18976589,25584984,33344713,42325840,33347627,25587460,20931947,15023855,15023856,20931948,28108525,36580783,46446192,57801751,52716111,269511447,77798878,91726661,95353437,81297441,67831679,67831678,81297439,95353436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4250544, s2 = 2774150, dlinesl.size( ) = 8 s1 = 8227951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4743933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4743933, s2 = 8828140, int(edited[s2]) = 0 s1 = 4743933, s2 = 8828140, d1 = 0, d2 = 38 Dl.O(d1) = 193494528 Dl.O(d2) = 264849736,175641585,185177012,193494525,200623992,206637971,211606004,215667445,219026186,215667450,215667448,264741967,206637963,200623986,193494521,185177010,175641582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4743933, s2 = 8828140, dlinesl.size( ) = 32 s1 = 8022233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10337410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8308167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8308167, s2 = 10357748, int(edited[s2]) = 0 s1 = 8308167, s2 = 10357748, d1 = 13, d2 = 18 Dl.O(d1) = 85166039,85166040,73403551,60657878,49258230,39332790,255977191,17052254,254820899,3094174,3094172,5097698,8007661,11962436,17052247,23315852,30735003,39332771,48151993,47956914,47956913,49257089,60657162,269844231,260074947,100335260,100335259,114359786,128236827,141587248,154243980,263179509 Dl.O(d2) = 264775845,219384289,264070636,210735783,265484295,220727346,220727345,220727346,217677984,214023963,264370700,190010792,262949803,273242217,162621409,150497870,261000315,109543866,95289091,261412950,14501943,9978914,9978915,255336437,257919557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8308167, s2 = 10357748, dlinesl.size( ) = 8 s1 = 7146571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8747049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10200724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10200724, s2 = 8321262, int(edited[s2]) = 0 s1 = 10200724, s2 = 8321262, d1 = 39, d2 = 19 Dl.O(d1) = 114246226,114246227,128133156,141494452,263918877,264772797,273643138,128133154,114246225,104058195,104058194,118217714,128133151,141494448,260322280,100211780 Dl.O(d2) = 260916584,86243676,72641308,59899781,48506114,38591162,30018571,30018572,256968153,30018530,22646210,16455585,16455584,22646208,30018527,38591117,48506081,59899789,256975821,30117735,22736263,16529714,16529715,22736266,30117741,38694024,48047443,38133978,38133977,48047440,48047458,38133999,29567853,22221532,16089068,11174432,7413862,7413861,11174430,255457185,29567849,38133995,40525908,32637518,32637517,30547577,30547578,38134004,38134003,31699107,29385210,29385211,31828759,29567860,22221558,268084149,7413866,4684756,4684755,7413865,11174438,16089060,22221527,24311212,256050783,17926217,12701495,12701496,17926219,24311207,24311208,255895175,16089070,12701487,12701488,17926196,24190928,17821846,17821847,23129243,30547627,268633937,29567839,29567846,22221530,16868749,11799856,11799855,16868747,22221551,22221550,16089081,16089082,22221557,29567840,29567841,38133992,30547482,23129142,23129143,30547484,256464437,30547385,23129070,23129072,30547394,255963407,23129155,30547503,39145491,256464447,23129154,16868793,254811865,5004399,5004398,7880778,11799878,16868788,23129146,30547490,30547618,23129232,16868843,16868844,23129234,30547520,23129168,23129169,23129194,16868816,11799892,7880784,7880782,11799887,16868807,23129178,30547535,268967923,30547588,23129212,23129213,30547590,37160737,39145511,43046710,43046714,49075384,257403421,36626110,36626109,38885282,38885283,48807618,49075422,39145549,39145550,47051324,37160740,30299718,30299719,38885357,30299723,22901081,22901082,30299725,30547404,31699122,30007391,22637155,22637156,30007393,254963982,32537024,24891770,24891771,26147247,19449169,13917917,13917918,19449172,16670385,11635673,11635672,16670369,16670370,22901040,30299562,38885278,33988085,26147238,256174823,38885466,30299717,30299716,38885463,32537062,255631535,18391490,24891793,32537066,41387604,48807793,60204874,48807810,38885488,30299735,22901087,16670398,11635685,7751676,267833725,1715774,2959037,4909254,7751673,11635679,16670388,22901072,30299581,38885309,31769009,31769008,38885457,48807783,41387568,32537031,24891776,18391481,13063497,8901784,5808757,5808759,8901788,13063504,18391492,24891795,32537068,33988098,26147253,26147254,26147256,19449176,13917921,13917922,19449179,26147258,32537081,24891805,18391498,18391497,24891803,31769002,31769027,40463739,39182223,30584519,23166555,23166556,30584520,39182226,254581194,30299634,30299631,22901013,22901014,256448229,42145456,33186093,33186095,30547466,23129129,23129127,30547463,39145467,32537040,32537039,31769000,24256855,24256854,31768998,40463705,50499771,51613664,51613663,63337902,53333047,42871836,33830654,33830656,42871837,38885471,38885421,30299669,30299668,38885418,46448616,57804478,62608997,50986657,40851819,32079867,32079868,40851822,50986659,47878711,37960779,37960778,42145453,33186088,33186089,42145454,48807788,42871851,33830666,26012658,26012657,33830663,42871846,53333057,50986632,50986630,53333053,53333054,60514420,73260415,269614038,75546935,62608954,50986624,40851795,32079853,24505982,24505983,32079855,40851798,50509447,40474113,31779473,24266914,24266913,25538740,18926639,18926640,25538745,256305268,28418001,36915820,46793589,41954017,41954016,42282126,42769262,33739321,33739320,39282000,39282001,43320696,34222548,26348346,19619207,14059982,14059983,19619211,257266371,53804718,43279881,43279880,50126605,40106516,31426779,23935823,17592592,17592593,23935824,31426780,26026733,19350156,13839153,13839154,19350159,26026738,33846938,42890654,53355386,65357749,78661103,86415086,86415085,73611940,73611939,86415088,72819927,60082433,48686141,48686140,60082431,256155084,53179070,65163775,78446668,92484088,106791524,115312043,101233689,87233314,73611944,73611943,87233312,87233298,73611916,60861812,256041738,30914682,30914681,39525190,49458816,60861808,73611911,67800877,55459313,44610954,39771053,31092798,268387204,12175215,12175216,17296714,23609188,256502211,49790797,61269657,57977075,57977074,70695110,83963359,86807951,73195919,60449790,60449791,70340392,70340391,83865766,70436889,57742263,256814399,28065158,28065159,36531466,46391917,57742269,70436896,74049469,61269710,49790837,256878482,23609200,255998029,39771046,39771026,39771025,49790801,49790791,49790790,51435973,41237852,41237851,51435972,63133925,58466048,47087940,37192214,28670375,28670376,37192217,37195114,29017150,255304328,15682207,21728902,21728893,21728892,29017140,31571826,24066166,24066167,21381986,255032811,7027087,254333885,2651749,1858572,1060665,1060666,1858573,3174828,4434507,4434506,7046038,10668403,15431879,21423357,28670272,37192123,37192210,37192209,39496095,30889033,30889034,24516891,24516892,32090783,40861558,50995160,50994789,50994480,50994481,59960869,48568632,38652888,38652889,39308841,39308842,49235486,48568607,48568605,59960839,72698848,71515846,58785720,48568595,38652869,30076231,22695527,22695528,30076233,38652873,48568604,59960836,59960882,48568644,48568646,59960885,59960898,59960851,48568614,41331599,32483790,32483791,41331600,256820708,65311227,58854671,47470547,37563658,37563659,47470549,58854675,61317812,49834834,49834833,58853515,47469476,37562641,37562640,47469474,58853513,62856610,62856609,75820248,89602185,100259585,87706742,74100814,74100816,87706744,99037017,85111699,71540151,71540152,70802057,70802056,73391276,73391277,73391262,60644562,49243764,49243765,49243781,39316630,30718116,256477407,49243785,258210251,71413458,58679624,58679625,60046238,48649653,38728457,30146910,22759862,22759864,30146915,38728462,48649663,47423954,268620213,21690402,21690401,28972642,37516157,47423953,58811113,71540149,84987435,75820232,73377746,60631406,60631405,256814398,100986083,87006823,86409309,72814246,60076913,48680637,48680636,60076912,72814245,74715847,61922679,52716334,52716335,64616574,77799070,77960534,64765656,52845862,42441449,33448366,25677382,25677381,33448364,257217685,42441373,33448300,33448301,42441378,42441401,33448319,25677348,19055346,19055347,25677384,33448368,256040165,24178041,31686779,40380535,40399949,40487275,31792194,31792195,40487277,48618514,48618513,60008319,65913594,53846262,257266370,14061184,9670574,9670573,14061181,268321634,24277155,31790860,32593339,32593340,41470387,51739185,63516867,60867584,49464310,39530686,39530687,43294537,53819540,65887416,259106275,79250987,79250986,257156500,268476060,268134266,17200812,17200813,255990689,23484338,22255844,16116878,11195228,7428205,7428207,11195231,16116885,22255854,29605971,38172821,48085058,59475157,72212637,85806678,99760519,113774568,127642625,122204533,122204534,136167217,149417054,260355076,122204527,107799427,93377508,79250337 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7260385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7260385, s2 = 6632093, int(edited[s2]) = 0 s1 = 7260385, s2 = 6632093, d1 = 19, d2 = 23 Dl.O(d1) = 264685578 Dl.O(d2) = 256745536,18499425,25032223,25699410,25699412,33472299,32555701,32555702,41414668,51656309,63399695,76443660,90273774,104424821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7260385, s2 = 6632093, dlinesl.size( ) = 2 s1 = 7260385, s2 = 6632093, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7260385, Dl.E( ) = 46, 2.1e-05 seconds used appending s1 = 7210007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7210007, s2 = 13495826, int(edited[s2]) = 0 s1 = 7210007, s2 = 13495826, d1 = 39, d2 = 0 Dl.O(d1) = 264043563,274039167,264555848 Dl.O(d2) = 52219772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7210007, s2 = 13495826, dlinesl.size( ) = 2 s1 = 7210007, s2 = 13495826, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7210007, Dl.E( ) = 48, 3.1e-05 seconds used appending s1 = 13720109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6926058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6926058, s2 = 8009018, int(edited[s2]) = 0 s1 = 6926058, s2 = 8009018, d1 = 2, d2 = 16 Dl.O(d1) = 260163044,123650979,273058025 Dl.O(d2) = 260591395,259373435,270318802,255458659,11187511,11187510,255458657,269352587,16479473,267979727,7636796,255107167,254633454,24873084,18375612,13050156,13050155,254292152,9009780,13216880,255433418,4668107,2812220,1631385,927672,927666,1631360,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769558,2786302,2786300,4626226,7325411,11050114,7335750,4633840,4633842,4639397,2794409,2794410,4639400,7325390,7325389,11050086,15926902,15966442,15966441,15160703,10455315,10455314,11070786,7344966,4639176,4639174,7344961,11076925,15960099,22039729,15939649,11060735,11060736,14917612,10455386,6891864,6891863,10455383,15160783,15961948,15961949,22066678,15964058,11080046,7347121,7347122,11050220,7325468,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,18928892,25541482,22044185,22044095,15941184,15941183,11074077,11074078,15956655,22042692,22060721,256379097,47874574,258111413,59219475,59219476,71957846,257883376,258111441,256921301,255883705,15957115,11074433,11074432,15957113,22061523,29391996,29392085,37956977,29401203,22070735,22070739,29401212,29390247,29390249,25541612,25541611,33303512,37935125,37935124,29391171,29391172,37956214,37939226,37939225,39132577,47859193,42277357,42277358,37944752,33304528,33304525,37940147,30521171,30521173,34660633,26668204,26668202,25542589,22388374,16229527,13495060,9232607,6046523,3783178,2266233,1314598,750292,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574558,11206189,7435599,4698494,4698496,7435608,11206139,11206137,16131640,22065512,21193691,21193688,16131287,11205912,7435457,4698425,2830751,1642359,933895,526322,294922,294920,526300,933845,1642265,2830592,4698077,7434727,7434730,11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,11206531,11206533,13485876,9226598,9226599,13485873,15882341,18927747,13493503,13493505,15882390,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6926058, s2 = 8009018, dlinesl.size( ) = 8 s1 = 10259150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10259150, s2 = 10341673, int(edited[s2]) = 0 s1 = 10259150, s2 = 10341673, d1 = 26, d2 = 17 Dl.O(d1) = 255141482,13925705,13925707,19458829,19459819,19459821,26159505,28329029,21118540,15171627,15171628,16407455,21118257,255682210,36824227,37022190,43063003,256659616,258423556,270531264,260888180,261989264,191140877,198630967,204976381,210234267,205289728,199015046,191594923,191594924,199015030,264114703,199015037,191594919,191594920,199015042,205289721,210482872,210482873,210482868,205289686,199015014,199015017,199015008,191594895,191594894,199015005,205289673,210482857,214726008,210482856,210482857,214726008,214726007,214726039,214726038,210482896,205289707,199015029,191594911,264114701,210482894,210482861,210482862,205289685,199015013,199015012,264408807,273954711,263731088,204976381,210234267,205289728,199015046,191594923,191594924,199015030,264114703,199015037,191594919,191594920,199015042,205289723,210482913,214726051,218217801,214726025,210482878,205289696,205289694,210482876,264672907,205289670,264408797,264912177,221150754,264881444,210482898,210482899,214726037,210482896,205289707,199015029,191594911,182961874,173077847,161926388,262555651,182961880,191594920,199015042,205289721,210482872,210482873,210482868,205289686,199015014,199015016,205289684,199015013,199015012,205289683,210482866,214726006,210482855,205289672,199015004,191594893,182961862,273044873,149629022,136363217,136363218,149629023,161926385,173077846,263784341 Dl.O(d2) = 8378091,5406879,3323959,1955007,267800053,5406885,8378105,10548414,10548415,15282685,21248520,23726177,23967248,23904532,17560444,12435128,12435127,17617103,23921929,17580737,12408699,12408700,17580739,254853636,12370141,8404531,5423310,3333949,3333947,5410671,8384588,8371611,8371609,12388477,12388520,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376666,8376663,7679671,5403617,3322223,1954080,1116332,1116331,1930116,1930114,3281360,5338131,8272960,12249451,17383138,254828692,31407766,31395227,29673764,22322538,16177139,16177138,17551123,17551122,17383381,12249645,8273082,5338196,5338195,254073684,12351719,8345132,8345130,12351715,17515769,23859038,29421983,22091355,20066378,20066381,21661900,21661897,16427952,254786921,4814241,4814242,7609682,11442899,11447129,7690963,4866965,4866964,7690961,8624698,5764286,5764283,7587980,4902273,2954650,267767443,973568,1713322,2954655,4798914,4896611,4807783,2897592,1681314,1681315,2897596,2897875,4808302,7600700,11432417,9118040,5965987,3730737,3730738,254645639,11453294,7618011,7590442,7590440,7746189,4905302,4905299,7746180,9144742,11553031,11427318,7596282,4905314,4905316,3666009,3666008,5871276,8992920,11436226,16420162,11442065,255482833,29977605,257483924,7239229,4563889,2744714,2744715,4563892,7239234,10940427,15791091,21864100,21864113,15791100,15791103,15791057,10940405,10940406,15791060,21864060,21866182,15792745,10941744,7240184,254344024,15792750,21866169,21866167,15805012,15805011,15793239,10942057,10942055,10942213,7240448,4570216,2748998,1593320,1593319,2748994,4570207,7248019,10017210,6584015,6584016,10017211,14557495,12359364,8350751,8350752,12359366,17525176,23869542,29191835,21880030,15804550,15804549,21880027,29176550,29176551,21882079,15806181,12096417,10952665,10952668,15806127,15793364,10942130,7240401,7240402,7240144,4564558,4564557,254514790,7240124,10941626,10952419,10952420,8306427,7354885,7354884,11089954,15975416,22081123,29193949,21882064,21882065,21886459,21866379,21866380,26980349,21880335,21880334,21881941,254343794,15806068,10952633,10952635,15806076,15792759,15792757,20907096,15002082,15002083,15809981,10955857,10955858,15809988,15803611,10950628,10950627,15803605,21878992,22386223,16227991,11281258,11281257,10952346,10952344,15805629,21881410,23485299,27215806,22648803,16457551,16457552,22648806,29624017,29624016,37738390,37738125,29177696,29177613,21867096,21867097,21867180,28902546,37442147,254812630,39146124,254514260,25887442,19227520,13735566,10524567,6941106,6941104,9409958,9410028,9410518,13736383,19228526,19285621,13786843,13786844,19285624,21311560,15341580,10596710,10596709,15341630,21311630,23681388,17361211,12231500,8259178,6906525,4337862,4337861,6906521,9410883,9410882,6906358,4337763,2596901,1498066,848925,848927,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474516,10474526,8540205,8540204,12587970,10510513,6930948,4354688,2608469,2608470,4354693,6930959,5538228,5538229,8540103,8540160,8540159,12587925,17785384,17722778,12538622,12538624,17713848,17713849,24070000,24119408,17758377,12566266,8521371,8521370,12537711,12537712,12536095,8497788,8497789,12536101,12592694,8543853,5541728,5541727,5545163,8546776,12595664,14491549,14491550,17722686,15095903,10411468,10411470,12587610,8539922,8499826,8499828,8546594,8546593,12538594,12538592,12551820,17739711,24097262,17847462,13459497,13459498,17740244,12555624,8512676,5511695,3399236,2004002,1145540,642593,356660,195415,106698,106694,195404,356643,642563,1145479,2003878,3399009,5511229,8511756,12554127,17742812,24063184,17707916,12525929,12525930,17707922,24063187,23712372,23712373,23747986,17422549,17422548,17705386,17387393,17387392,254140008,8275178,5339425,5339422,8275171,12252858,17387738,17722573,12622371,8568543,5564159,3447794,3447793,5564139,8568496,8561269,8561271,12612893,8571059,8571058,12625053,17713827,12530604,8491612,8491614,12530608,17713836,19827560,21033742,15107637,10420191,10420190,15107634,21033737,16889139,11817929,11817931,16889141,17728420,17786429,24153615,24179090,254136866,24162151,23156097,16894783,12591138,12591140,12615342,12615341,16885914,13441424,9190827,9190828,12554084,17742741,17363260,12555741,8512749,5511731,3399255,3399257,5511734,8512755,12555754,10506719,6928247,4352562,4352563,6928249,10506723,15231044,17771053,16795788,12615353,12615354,8563307,5560334,3445045,3445049,5560352,8563171,12615172,17817793,18865388,18865387,18864668,18864671,17056502,17056500,17812970,12611141,8559798,254415936,17812973,14455351,14455353,20150916,22826707,22826706,24187375,18864737,17724527,12540006,12540007,17724531,24081767,24138480,25463563,31705677,24198050,24198049,27043782,20151228,255194022,16893974,23155303,24081856,17724624,16470727,11475959,11475963,13756894,13756893,15107951,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190101,13440547,14126315,9718618,9718574,9718573,12632722,12632720,13440045,9845571,6466368,4051518,4051519,6466372,9845582,9191917,9191922,13442695,15889052,12624026,8570149,5565911,3449635,2043232,2043231,2449870,1416454,1416456,1175427,1175426,2049522,3457206,5573141,8577349,12632652,14979466,12556725,12556727,17746353,24104853,22665110,16470202,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496282,16164738,12556820,8513352,8513351,12523341,17704857,24059653,20150958,16146153,16146154,255081188,267947304,9943887,9943888,14453520,20148602,16795838,11743782,11743781,16795835,23040725,30448504,39037822,44506672,35130114,27044531,27044530,28156049,20976962,15065610,10389441,10389438,14456320,14456319,20152200,27043436,20150818,14455263,9944939,6536217,6536218,254877398,9719569,9719570,14127863,19703730,20152376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10259150, s2 = 10341673, dlinesl.size( ) = 8 s1 = 7186955, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8750521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7742931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7742931, s2 = 11660313, int(edited[s2]) = 0 s1 = 7742931, s2 = 11660313, d1 = 10, d2 = 1 Dl.O(d1) = 274208522 Dl.O(d2) = 192752044,192752045,273789467,197458064,203983664,206106821,263615740,184336341,262328276,139337760,150521597,137490934,261554902,137490934,259159540,95320007,81259989,81259990,95319999,81259976,258530330,123766261,260400150,150521589,150521590,149184815,135961132,122033916,259732649,79142236,65787926,53731781,43219663,34131732,26265245,26265246,34131734,43219661,43219658,257260821,62060625,74859342,271039112,62060622,50568054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7742931, s2 = 11660313, dlinesl.size( ) = 12 s1 = 7011601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7011601, s2 = 7100031, int(edited[s2]) = 0 s1 = 7011601, s2 = 7100031, d1 = 18, d2 = 20 Dl.O(d1) = 261312439,263986849 Dl.O(d2) = 262205445,262578046,258093523,59063964,48104336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7011601, s2 = 7100031, dlinesl.size( ) = 20 s1 = 7293696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7293696, s2 = 3992089, int(edited[s2]) = 0 s1 = 7293696, s2 = 3992089, d1 = 8, d2 = 1 Dl.O(d1) = 265073286 Dl.O(d2) = 145355664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7293696, s2 = 3992089, dlinesl.size( ) = 14 s1 = 8856948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8856948, s2 = 10988288, int(edited[s2]) = 0 s1 = 8856948, s2 = 10988288, d1 = 29, d2 = 22 Dl.O(d1) = 265490177,227578659,274503860,265346018,264701824 Dl.O(d2) = 259866124,257386606,255359418,14610312,20354120,22365800,20958144,15049176,10375904,10375905,15049178,14961482,14961483,16108395,16212035,12287475,8298195,8298193,12287471,17433140,16214345,16214343,16515051,11509404,11509401,16515047,22720050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8856948, s2 = 10988288, dlinesl.size( ) = 18 s1 = 8441709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8578467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10255954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5203474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8238245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8238245, s2 = 13740342, int(edited[s2]) = 0 s1 = 8238245, s2 = 13740342, d1 = 16, d2 = 5 Dl.O(d1) = 259640672,268486688,28996533,255250150,47449867,58836095,261128153,273983021,272979700 Dl.O(d2) = 175514779 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 7234177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7234177, s2 = 7018059, int(edited[s2]) = 0 s1 = 7234177, s2 = 7018059, d1 = 6, d2 = 12 Dl.O(d1) = 264349118 Dl.O(d2) = 272979700,261421614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10282293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10282293, s2 = 3767671, int(edited[s2]) = 0 s1 = 10282293, s2 = 3767671, d1 = 42, d2 = 37 Dl.O(d1) = 232598226,266223271,229883744,229883743,231315082,232598230,266326213,231315076,229883740,229883741,231315077,232598224,233757465,266421723,236650279,236650282,235774649,234812825,233757468,266223271,231315083,232598233,233757471,266509463,266509461,266662597,236650284,235774650,234812825,233757468,266223271,229883744,229883743,231315082,232598231,232598222,231315075,229883739,265711603,265782098,264488237,200717482,193607516,263523961,175801639,165071846,153254368,140572907,260564907 Dl.O(d2) = 131351875,144576568,156976998,273194213,178736784,263665089,195788178,202592150,208311237,213028634,213028635,216885090,220081828,222782361,225104999,227123535,228885146,230436885,231815933,233055868,274676621,236124437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10282293, s2 = 3767671, dlinesl.size( ) = 2 s1 = 10282293, s2 = 3767671, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10282293, Dl.E( ) = 44, 1.19e-05 seconds used appending s1 = 7286182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7286182, s2 = 6567360, int(edited[s2]) = 0 s1 = 7286182, s2 = 6567360, d1 = 25, d2 = 37 Dl.O(d1) = 264987096 Dl.O(d2) = 6428438,9776975,268156140,14221585,256045526,19814895,14193590,255001506,7124660,4485779,4485780,7124664,10782818,13012333,11509271,11509270,16297181,11339061,11339060,14483795,14606799,10050925,10050924,10384100,10274421,10274419,14938846,14988338,14988339,20350033,22725576,16520371,11513369,11513371,16520377,17877778,14609377,10052627,6605484,6605485,10052628,13303543,9085211,9085212,6602987,4136432,2474277,2474279,4136437,6602996,254593682,257934851 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13806203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8712499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8712499, s2 = 8732678, int(edited[s2]) = 0 s1 = 8712499, s2 = 8732678, d1 = 26, d2 = 32 Dl.O(d1) = 21144940,22353450,29708721,254966530,21416790,28661684,37181362,47075175,37181364,28661685,28661687,35378064,35378062,40239146,44801959,37181383,31719599,30493127,23079477,16827283,16827284,23079478,30493130,39089847,256642914,258328941,259580963,261362701,157100258,168548569,263289695,273763709,208369198,208369192,202664987,195875823,195875822,202664985,264594763 Dl.O(d2) = 216919747,213073245,208369188,264594765,274287860,219686311,222440743,222440744,265593322,220109330,216919755,213073254,264271788,195875824,273763709,208369198,208369192,202664987,195875823,263223822,262953052,269523491,33554273,33554274,268150478,34009217,26167538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8712499, s2 = 8732678, dlinesl.size( ) = 16 s1 = 9665591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9665591, s2 = 9266169, int(edited[s2]) = 0 s1 = 9665591, s2 = 9266169, d1 = 15, d2 = 17 Dl.O(d1) = 199414436,205636165,209299447,203822791,197262734,197262733 Dl.O(d2) = 213792087,209299446,265088504,264351122,215069422,264867350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9665591, s2 = 9266169, dlinesl.size( ) = 8 s1 = 8761425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4095927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4095927, s2 = 11192729, int(edited[s2]) = 0 s1 = 4095927, s2 = 11192729, d1 = 3, d2 = 13 Dl.O(d1) = 152937773,140248489,140248490,264739431 Dl.O(d2) = 186169882,262056160,260955724,114517667,260190808,62640557,269027283,254427215,267927962,405445,227358,125288,125291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4095927, s2 = 11192729, dlinesl.size( ) = 6 s1 = 8634529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8634529, s2 = 14178281, int(edited[s2]) = 0 s1 = 8634529, s2 = 14178281, d1 = 25, d2 = 26 Dl.O(d1) = 265437850,149892872,262067633,173205612,273892286 Dl.O(d2) = 274325105,264572240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8634529, s2 = 14178281, dlinesl.size( ) = 30 s1 = 13896159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7366196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8747838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7308335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7308335, s2 = 3487560, int(edited[s2]) = 0 s1 = 7308335, s2 = 3487560, d1 = 12, d2 = 5 Dl.O(d1) = 265241170,274209376,219658420,216391619,216391618,212452199,207634773,201792110,194851097,194851098,201792111,207634774,212452202,264279238,194851100,186741238,272600590,155192032,155192033,261824560,186741242,186741236,177428708,177428707,186741235,261824556,155192029,142548236,142548235,260111528,129171557,142548237,155192031,166883842,261281694,142548236,129171556,129171555,258872094,87164706,257058094,49398416,39469936,30866211,23437365,17162710,17162709,23437364,30866210,39469934 Dl.O(d2) = 87164705,101162758,115240335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7308335, s2 = 3487560, dlinesl.size( ) = 2 s1 = 7308335, s2 = 3487560, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7308335, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8843403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358623, s2 = 11598332, int(edited[s2]) = 0 s1 = 10358623, s2 = 11598332, d1 = 69, d2 = 45 Dl.O(d1) = 199713924,264940275,265180289 Dl.O(d2) = 266647587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358623, s2 = 11598332, dlinesl.size( ) = 2 s1 = 10358623, s2 = 11598332, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10358623, Dl.E( ) = 74, 1.91e-05 seconds used appending s1 = 7376493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7376493, s2 = 7306098, int(edited[s2]) = 0 s1 = 7376493, s2 = 7306098, d1 = 5, d2 = 0 Dl.O(d1) = 266007516 Dl.O(d2) = 265216932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7376493, s2 = 7306098, dlinesl.size( ) = 6 s1 = 7306099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7306099, s2 = 7376494, int(edited[s2]) = 0 s1 = 7306099, s2 = 7376494, d1 = 7, d2 = 13 Dl.O(d1) = 265216933 Dl.O(d2) = 266007517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7306099, s2 = 7376494, dlinesl.size( ) = 6 s1 = 10358743, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7312096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7312096, s2 = 8881994, int(edited[s2]) = 0 s1 = 7312096, s2 = 8881994, d1 = 25, d2 = 58 Dl.O(d1) = 265286561 Dl.O(d2) = 267024965,274829406,274720872,266316892,233212796,231995259,265697652,264725338,203853859,263094162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7312096, s2 = 8881994, dlinesl.size( ) = 42 s1 = 7220870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7377150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7358164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7358164, s2 = 700887, int(edited[s2]) = 0 s1 = 7358164, s2 = 700887, d1 = 18, d2 = 25 Dl.O(d1) = 265809200 Dl.O(d2) = 17866211,12652088,8590222,5581820,5581819,8590218,12652078,8590549,254874925,8590617,5583488,3464170,2054426,1178724,661881,367002,367001,661863,1178687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7358164, s2 = 700887, dlinesl.size( ) = 2 s1 = 7358164, s2 = 700887, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7358164, Dl.E( ) = 48, 3.7e-05 seconds used appending s1 = 7371157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7422787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7359883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7356051, s2 = 11047788, int(edited[s2]) = 0 s1 = 7356051, s2 = 11047788, d1 = 15, d2 = 28 Dl.O(d1) = 265784321 Dl.O(d2) = 260272822,15000979,15000980,19408289,18684347,13291405,9074002,5934001,4296793,254488087,7672356,255110959,17494625,12335196,8333088,8333089,8132555,5210346,5210343,5924354,3705914,2219460,2219461,1287650,1287647,2219482,3705958,4295244,2567942,2567944,4295253,4295289,2567956,2567953,4295279,6845400,6802013,6802011,8326519,8326516,5584509,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178779,3178778,5206129,3176239,3176240,5206144,6789667,6789669,5956708,5956707,6346691,3981965,3981963,5932250,8127374,5206883,5206882,8127371,5939229,5939228,8388827,8597927,10281538,10281537,10281528,254998203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7356051, s2 = 11047788, dlinesl.size( ) = 24 s1 = 8868757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8868757, s2 = 10287136, int(edited[s2]) = 0 s1 = 8868757, s2 = 10287136, d1 = 16, d2 = 19 Dl.O(d1) = 266067465,266083916,229298820,265678042,225669798,225669796,225669797,265805363 Dl.O(d2) = 266183274,232313939,233501696,234580239,235562339,236456921,274766597,238016906,238693428,239313968,239885177,240412774,240902105,241355049,241774472,242161499,242520272,242854032,243164720,243456304,243727516,243612686,243333835,267170111,267100323,241610050,274868481,240210198,266817855,239079542,266874075,240713031,241178872,267060869,267136065,242718148,242376936,242376937,242718108,242376870,242009008,274882161,240713053,240713054,240713033,240210200,240210201,266974019,241610059,242008977,242376849,242009151,241610229,241179016,240713138,240713140,241179020,241179009,241179008,241179046,241178935,240713078,240210227,239666709,239666708,240210224,240713075,241178926,241610108,242008988,241610073,241610072,241610090,242008975,241610057,241178883,240713034,240210200,240210201,266974019,241610059,242008977,242376849,242009151,241610229,241179016,240713138,240713139,240713167,266874089,239666744,240210285,240713169,241179048,241610096,241610097,242009020,242376879,267170119,242376874,242009011,242009012,242009114,241610192,267060891,274882165,241179044,241610208,274906809,241610053,241178878,240713057,240210211,239666703,239079547,239079548,239666706,240210218,240713068,267019173,242009022,242009182,241610270,241610269,241610068,241178893,240713046,266974021,241178909,241178910,240713086,240210234,240210232,240713084,240713091,240713092,267060883,267136075,241610184,241610185,242009104,267136067,242009167,267019183,267100327,241610068,241178893,240713046,266974021,241610055,241178883,240713034,240210200,240210201,266974019,241610059,242008977,242376849,242009151,241610229,241179016,240713138,240713140,241179020,241179009,241179008,241179046,241178935,240713078,240713077,241178931,267019181,241179035,241610243,267100331,242009096,242008965,241610047,241610048,242008969,242376841,242376972,242009175,242009174,274917933,242009004,241610081,241178902,266925715,239666702,239666701,240210208,240713052,241178897,241179029,267060877,267136073,243035899,243333840,267278208,242376938,242009139,241610224,241179012,240713136,240713135,241179008,241179045,241610109,241179031,267019179,267100335,267170131,242718104,242376866,242009003,241610081,241610083,242009006,242008957,241610037,241610036,241610125,242009046,242009184,267100337,267223992,267100329,242718113,267136071,242009023,241610101,241178919,240713069,266974023,266912726,238440577,238440579,237740453,236969571,236124034,235195775,266458617,236969567,237740447,237740461,238440592,239079551,238440579,237740452,236969571,236969570,237740451,238440578,238440586,237740457,236969573,236969572,237740456,238440585,239079563,239666729,240210262,240713124,241178988,241610200,267019171,240713048,266874077,266757019,237740446,237740447,236969577,236124038,235195777,234176409,233055390,231815435,230436462,228884720,227123036,225104420,222781690,265266057,216884583,213028127,208310684,202591437,195787203 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8843841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8877731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13810679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7412096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7412096, s2 = 5458368, int(edited[s2]) = 0 s1 = 7412096, s2 = 5458368, d1 = 10, d2 = 4 Dl.O(d1) = 266388860 Dl.O(d2) = 225090483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7412096, s2 = 5458368, dlinesl.size( ) = 2 s1 = 7412096, s2 = 5458368, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7412096, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 9047955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8922073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8939004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7404140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7768499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7757376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7757376, s2 = 7771970, int(edited[s2]) = 0 s1 = 7757376, s2 = 7771970, d1 = 43, d2 = 48 Dl.O(d1) = 274487223 Dl.O(d2) = 274718212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7757376, s2 = 7771970, dlinesl.size( ) = 48 s1 = 10338471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8929247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360219, s2 = 9229781, int(edited[s2]) = 0 s1 = 10360219, s2 = 9229781, d1 = 135, d2 = 0 Dl.O(d1) = 265614149,265907573,266324833,266508221 Dl.O(d2) = 143395237,130065237,116157097,260262750,88113137,259522443,74501594,61720206,50241405,40221350,40221351,50241406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360219, s2 = 9229781, dlinesl.size( ) = 66 s1 = 7430654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7430654, s2 = 9644758, int(edited[s2]) = 0 s1 = 7430654, s2 = 9644758, d1 = 35, d2 = 63 Dl.O(d1) = 266579353 Dl.O(d2) = 242550408,267185783,267123730,267046086,274831330,274772678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7430654, s2 = 9644758, dlinesl.size( ) = 46 s1 = 7781697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7436952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7436952, s2 = 11510950, int(edited[s2]) = 0 s1 = 7436952, s2 = 11510950, d1 = 14, d2 = 12 Dl.O(d1) = 266642748 Dl.O(d2) = 265510018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7436952, s2 = 11510950, dlinesl.size( ) = 14 s1 = 5360745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5360745, s2 = 8806554, int(edited[s2]) = 0 s1 = 5360745, s2 = 8806554, d1 = 0, d2 = 24 Dl.O(d1) = 221996376,265994827,232657302,266733653 Dl.O(d2) = 274557394,265718594,219179137,264756446,273989780,265387921,226517050,266116615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5360745, s2 = 8806554, dlinesl.size( ) = 30 s1 = 7378579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7378579, s2 = 7426369, int(edited[s2]) = 0 s1 = 7378579, s2 = 7426369, d1 = 41, d2 = 42 Dl.O(d1) = 266029705,232970357,266686259 Dl.O(d2) = 266536884,232970357,266536887,266813139,274937027,274831846,239145658,238511062,238511061,239145656,239728775,266734616,237817932,237055713,236221187,235306239,234302748,233200044,231981317,274346846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7378579, s2 = 7426369, dlinesl.size( ) = 120 s1 = 7467481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7352190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7467440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7467440, s2 = 10556174, int(edited[s2]) = 0 s1 = 7467440, s2 = 10556174, d1 = 158, d2 = 173 Dl.O(d1) = 266942250 Dl.O(d2) = 242066778,267033698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7467440, s2 = 10556174, dlinesl.size( ) = 30 s1 = 7780385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7780385, s2 = 487084, int(edited[s2]) = 0 s1 = 7780385, s2 = 487084, d1 = 70, d2 = 0 Dl.O(d1) = 274834861,267011777 Dl.O(d2) = 3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514327,13514435,9247344,6056295,6056292,9247337,13514421,15489544,254205322,8107224,5194220,3169360,3169359,5194216,3285531,1932210,1932209,3285526,5345969,8286800,8286827,5345982,5345981,8271253,5337293,5337292,5368233,5368231,3323279,3323278,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383388,17394663,12262242,8281072,5342797,5342799,8281080,8363535,8282662,8282661,8282727,8282399,8282401,12264508,17403180,23727091,23735538,23906556,25564896,25564897,31393656,24260989,24260987,23159063,23159062,23724966,21300263,15332244,15332245,21300264,28521310,31212588,31196351,23707659,17384568,255840706 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8932097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7482402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7482402, s2 = 8982711, int(edited[s2]) = 0 s1 = 7482402, s2 = 8982711, d1 = 28, d2 = 33 Dl.O(d1) = 267089278,267089276 Dl.O(d2) = 240361080,239829477,239254091,238628403,237944856,237193618,236369103,266336396,233392106,266481981,237193614,237944851,238628397,239254083,239829469,240361068,240853932,240361063,239829466,239254088,266670326,237944854,274921309,243700521,243953418,267315659,267338018,267386675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7482402, s2 = 8982711, dlinesl.size( ) = 24 s1 = 10361746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361746, s2 = 5496899, int(edited[s2]) = 0 s1 = 10361746, s2 = 5496899, d1 = 68, d2 = 18 Dl.O(d1) = 206958132,206958133,211881642,266797475,266908763,267125007,274913481,238815771,267043535,267121495,267188699,274952171,242910667,274892290,266850043,239422988,239983638,266953695,241431887,241845611,267121503,241845666,241431918,240985640,240503248,239983647,239983646,240503247,240985638,241431914,241845659,242227923,242581421,267219127,243504741,267188733,242581454,267156285,242910768,242910769,242910770 Dl.O(d2) = 265585006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361746, s2 = 5496899, dlinesl.size( ) = 32 s1 = 7789486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7789486, s2 = 10361928, int(edited[s2]) = 0 s1 = 7789486, s2 = 10361928, d1 = 23, d2 = 39 Dl.O(d1) = 274956333,267287998,274956186,242841046,267137808 Dl.O(d2) = 150408970,150408969,271941382,261911506,199297313,273419540,274585283,266042300,274734214,266758244,241336402,274854024,267061980,274918510,241336400,266976216,266876266,237242321,274715713,274223800,264329834,263306984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7497010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9055679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7488101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7488101, s2 = 7489790, int(edited[s2]) = 0 s1 = 7488101, s2 = 7489790, d1 = 11, d2 = 13 Dl.O(d1) = 267145183,267209577 Dl.O(d2) = 267161945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7488101, s2 = 7489790, dlinesl.size( ) = 28 s1 = 7789223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7791732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13935917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7511972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7511972, s2 = 16116788, int(edited[s2]) = 0 s1 = 7511972, s2 = 16116788, d1 = 22, d2 = 32 Dl.O(d1) = 267368470 Dl.O(d2) = 256374484,15801327,15801326,15898299,21997264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7511972, s2 = 16116788, dlinesl.size( ) = 14 s1 = 16116787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7497884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7517074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7517074, s2 = 6206449, int(edited[s2]) = 0 s1 = 7517074, s2 = 6206449, d1 = 161, d2 = 1 Dl.O(d1) = 267413788,267446656,267413782,267357328,244908826,244726498 Dl.O(d2) = 243910593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7517074, s2 = 6206449, dlinesl.size( ) = 32 s1 = 10338937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7498774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6282892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7521820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7521820, s2 = 6354254, int(edited[s2]) = 0 s1 = 7521820, s2 = 6354254, d1 = 38, d2 = 74 Dl.O(d1) = 267457191,275025013 Dl.O(d2) = 246888141,246945683,246888136,267589801,267582813,267582811,246827985,267614583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7536322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7536322, s2 = 8980532, int(edited[s2]) = 0 s1 = 7536322, s2 = 8980532, d1 = 25, d2 = 3 Dl.O(d1) = 267588493,246543103,267549517 Dl.O(d2) = 244849415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7536322, s2 = 8980532, dlinesl.size( ) = 26 s1 = 7528420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7535923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7535923, s2 = 9007624, int(edited[s2]) = 0 s1 = 7535923, s2 = 9007624, d1 = 9, d2 = 2 Dl.O(d1) = 267585074,267570390,246580923,267562440,246653179,246580922,267544838,246338353,246338346,246247680,267513751,245942962,245828801,245828802,245942963,246050139,246151143,246247682,267544841,246247681,267513751,245942962,245828801,245828802,245942963,246050139,246151143,267535229,246423663,246504285,246580917,246580905,267562446,246247677,267535227,246423655,246504277,246580903,246580920,246653174,246653177,246580922,267544838,246338353,246338346,246247680,267513751,245942962,245828801,245828802,245942964,246050142,267524967,246338350,246423666,246504287,246504283,246504284,246580914,267562440,246653179,246580922,267544838,246338353,246338346,246247680,267513751,245942962,245828801,245828802,245942964,246050142,267524967,246338350,246423666,246504287,267577960,246338338,246338337,246423649,246504274 Dl.O(d2) = 267513751,245942962,245828801,245828802,245942964,246050142,267524967,246338350,246423666,246504287,246504283,246504284,246580914,267562440,246653179,246580922,267544838,246338353,246338346,246247680,267513751,245942962,245828801,245828802,245942964,246050142,267524967,246338349,267553979,246580920,246653174,246653177,246580922,267544838,246338353,246338346,246247680,267513751,245942962,245828801,267461999,245438808,245291353,245133959,244965822,244787629,244597335,274973369,243935630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7535923, s2 = 9007624, dlinesl.size( ) = 2 s1 = 7535923, s2 = 9007624, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7535923, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 7800270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9015065, s2 = 7544476, int(edited[s2]) = 0 s1 = 9015065, s2 = 7544476, d1 = 33, d2 = 35 Dl.O(d1) = 267646586,247401864,267668977 Dl.O(d2) = 247494767,247473700,247451585,267658910 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7698051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9780986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6053779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077897, s2 = 433919, int(edited[s2]) = 1 s1 = 19135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345778, s2 = 9339783, int(edited[s2]) = 0 s1 = 10345778, s2 = 9339783, d1 = 80, d2 = 90 Dl.O(d1) = 12492188,8461001,5466918,3361681,1976393,1128223,632639,632638,254187527,3361669,5466906,8460987,12492176,17665850,17665893,12492201,8461009,8461008,12492198,12492165,12492166,12492210,12492211,17665897,23030949,23030934,254238564,11738656,16788283,254532064,17665848,24013475,31514250,38841662,30258030,25245171,25245170,32967124,269070677,52243806,41906535,37264552,29683494,29675592,22324618,22324619,29675594,29675768,256439473,39205822,30609799,30609800,30206839,22815136,16596529,16596530,22324730,22331736,16185264,11250548,7468261,4719607,4719606,7468259,10605949,10605948,15352911,21324862,28549444,22814770,22814771,16596572,16178589,11245348,7464444,4717020,2841739,2841738,254237573,937347,528198,295894,163642,163643,295895,528200,254166505,2841980,4717446,7465092,11246240,11245663,255087599 Dl.O(d2) = 26266638,26266639,19812368,19812367,26622705,256554117,24269562,24269564,30869516,30869517,23441147,17167402,12071000,12071001,17167404,22508748,22171008,16047295,16047294,19160546,13682040,13682039,13708013,13826972,13708009,254939643,6151152,3848949,2306164,1338167,764357,764358,1338168,2306165,3848951,6151157,9389026,13708037 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6706196, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13364015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187166, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13342994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14585819, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15383437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15489380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15489380, s2 = 11656953, int(edited[s2]) = 0 s1 = 15489380, s2 = 11656953, d1 = 7, d2 = 7 Dl.O(d1) = 28401087,28401088,36898424,46776302,58143974,70858205,81588099,68098258,55700701,55700702,44793069,35368388,27244474,20313140,20313139,27244472,28759981,28759982,256873127,47201756,258688455,71326320,84899703,98826283,89228882,75476596,62551564,50944708,40822247,32059444,24491747,24491746,256572473,32665107,24990436,24990435,32665106,41556289,51840513,63631666,64836280,64836279,76723671,90591678,104765503,118959057,132793082,146026568,158405371,272710350,179968704,188933475,263362802,176120395,165438133,153657342,140990800,261169351,259992769,85806350,72212265,59474728,48084503,38172185,29605316,22255376,22255374,29605313,25668975,25668976,256616574,32746626,32746627,32746628,25055541,18517866,13157141,13157140,18517864,25055537,32746624,29047491,29047490,37595235,47499335,38606749,30032987,22658338,16464761,11471849,11471848,10868811,10868810,15700443,12343435,12343434,12720666,17951203,24341863,31864230,40566176,40566173,40566174,256402602,50607637,62106884,74911071,88549783,102556349,116655141,130493403,143817218,261177592,178343160,264584221,216788596,220004255,222718664,225050325,227075297,228842848,230399713,231783151,233025851,234149487,266230702,236102196,236949094,236886523,236032385,235092869,234059967,232926537,231675351,230283500,228717942,226938963,224898362,222548292,219811813,216569490,212659149,207875213,202070100,195164679,187089081,263214900,155683999,143130186,129797849,115897530,101851239,87877933,74275505,61498484,269872569,40001904,31324210,23833568,17494630,12335202,8333100,5378298,3307214,1945656,1111514 Dl.O(d2) = 28401087,28401088,36898424,46776302,58143974,70858205,81588099,68098258,55700701,55700702,44793069,35368388,27244474,20313140,20313139,27244472,28759981,28759982,256873127,47201756,258688455,71326320,84899703,98826283,89228882,75476596,62551564,50944708,40822247,32059444,24491747,24491746,256572473,32665107,24990436,24990435,32665106,41556289,51840513,63631666,64836280,64836279,76723671,90591678,104765503,118959057,132793082,146026568,158405371,272710350,179968704,188933475,263362802,176120395,165438133,153657342,140990800,261169351,259992769,85806350,72212265,59474728,48084503,38172185,29605316,22255376,22255374,29605313,25668975,25668976,256616574,32746626,32746627,32746628,25055541,18517866,13157141,13157140,18517864,25055537,32746624,29047491,29047490,37595235,47499335,38606749,30032987,22658338,16464761,11471849,11471848,10868811,10868810,15700443,12343435,12343434,12720666,17951203,24341863,31864230,40566176,40566173,40566174,256402602,50607637,62106884,74911071,88549783,102556349,116655141,130493403,143817218,261177592,178343160,264584221,216788596,220004255,222718664,225050325,227075297,228842848,230399713,231783151,233025851,234149487,266230702,236102196,236949094,236886523,236032385,235092869,234059967,232926537,231675351,230283500,228717942,226938963,224898362,222548292,219811813,216569490,212659149,207875213,202070100,195164679,187089081,263214900,155683999,143130186,129797849,115897530,101851239,87877933,74275505,61498484,269872569,40001904,31324210,23833568,17494630,12335202,8333100,5378298,3307214,1945656,1111514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15489380, s2 = 11656953, dlinesl.size( ) = 2 s1 = 15489380, s2 = 11656953, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 15489380, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11854146, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14538677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8407878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8407878, s2 = 1877614, int(edited[s2]) = 0 s1 = 8407878, s2 = 1877614, d1 = 0, d2 = 0 Dl.O(d1) = 128260900,114384462,100360946,86404628,72809435,60072097,48675940 Dl.O(d2) = 128260900,114384462,100360946,86404628,72809435,60072097,48675940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8407878, s2 = 1877614, dlinesl.size( ) = 2 s1 = 8407878, s2 = 1877614, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 8407878, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8170926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11213295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8199255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8199255, s2 = 6821187, int(edited[s2]) = 0 s1 = 8199255, s2 = 6821187, d1 = 24, d2 = 15 Dl.O(d1) = 254835257,17272099,255996387,39746776,49765237,61244024,258861035,74024342,257629415,39746781 Dl.O(d2) = 258861039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8199255, s2 = 6821187, dlinesl.size( ) = 28 s1 = 11350573, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14204650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13774991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13777598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7186197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7186197, s2 = 7124857, int(edited[s2]) = 0 s1 = 7186197, s2 = 7124857, d1 = 11, d2 = 0 Dl.O(d1) = 263732127 Dl.O(d2) = 196844982,262909254,259629030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7186197, s2 = 7124857, dlinesl.size( ) = 18 s1 = 15141612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15141612, s2 = 8659415, int(edited[s2]) = 0 s1 = 15141612, s2 = 8659415, d1 = 30, d2 = 33 Dl.O(d1) = 264616263,196868252,196868251,203495618,209045272,264343731 Dl.O(d2) = 189123985,189123981,263702437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15141612, s2 = 8659415, dlinesl.size( ) = 24 s1 = 11545347, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15773848, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15080925, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13960718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13960718, s2 = 8219495, int(edited[s2]) = 0 s1 = 13960718, s2 = 8219495, d1 = 7, d2 = 16 Dl.O(d1) = 4495734,4495736,7140235,10805888,15617966,268074859,10805895,15617967,21652274,15617954,10805881,7140228,4495732,4495733,7140229,4495749,4495750,4496965,4496964,4495744,4495737,254227891,889690,889691,1564929,2701190,4495743,254742273,267966478,254742443 Dl.O(d2) = 254338499,889928,889926,1565239,890088,502240,281645,155497,155496,267744097,281673,502293,890195,890183,890185,890407,889787,889786,502285,502284,890174,890255,1565055,890592,502545,281816,155590,155591,281821,502553,890603,890499,890500,1566065,2702664,2701339,1565622,890573,502532,281808,155587,85358,85357,155579,281795,502513,890535,1566113,1566143,1565066,1565065,2701368,2701719,1565370,254161037,254161035,254228041,254228039,4497877,4497946,254506895,4495933,7140540,7141960,4496843,2701959,2701958,2702305,1565829,890346,890345,1565827,2702301,4497326,254742513,3329389,3329388,5415928,8392499,10808411,7395239,4671904,4671905,7395242,254352138,7416967,7416966,10807554,255417719,11685172,11685175,16727896,22964344,30366204,38952538,33860609,33860608,42905812,53371853,53371883,53371882,53371877,53371876,48872042,38952399,30366116,30366118,25951206,25951207,33759268,42790242,53178390,42728949,33860993,33860994,268963443,30366071,30366073,38952339,42905929,44374753,34996570,26915223,26915224,33860464,269110845,60264580,65376048,65230014,65230013,60264782,48872176,38952521,256997375,38956935,30370813,30370811,38956933,48876449,48872037,38952394,30366114,22964300,16727875,11685166,11685167,16727880,22964311,30366134,38952425,48872075,60264688,60264800,64116083,65538668,64116079,52267130,52267129,42905869,33860661,26039160,26039162,33860667,42905847,42905846,33979478,26140185,26140184,28625691,21387859,15403969,10646994,10646995,15403971,256321391,47026805,255065912,15347139,15347140,13489422,9229092,6117474,4396794,4396793,6996193,10603566,9996108,6569590,4115468,4115469,267948737,14527459,20245229,21969010,21430754,15437356,10672252,10672251,13369746,13369747,10672244,7048807,7048805,254442578,8705889,6199653,6199654,8705897,6204368,6204371,5969680,3733268,2235239,2235238,3733236,254646001,9996305,268488454,254646233,5971103,9125011,13352943,18753591,25332863,31886977,255600893,254880923,5626834,3496204,2077411,1193871,1193866,764286,764288,1338022,2305847,3848289,254663119,13705600,19190456,255398218,255237291,256130107,34115798,26251237,20318574,14581602,10033547,10033545,14581597,19875781,22890179,16661000,11627983,7745712,4905046,2956404,1714256,974032,974033,1714262,2956414,4905060,7745741,11628017,16661045,22890229,28069717,28069716,36536620,46397554,254914870,41051913,41051912,51208932,255917590,29708252,22353074,22353073,24941060,32604377,41483041,51753248,257070896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13960718, s2 = 8219495, dlinesl.size( ) = 14 s1 = 13962804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13962804, s2 = 13960098, int(edited[s2]) = 0 s1 = 13962804, s2 = 13960098, d1 = 0, d2 = 0 Dl.O(d1) = 15393097,14918890,14918891,10990401,7275425,4588261,4588260,5209928,5209927,4583907,2757924,1598866,1598864,2757917,4583893,7268654,5609024,5609023,8626442,12697634,10807502,7141323,4496471,4496472,7141327,7403794,4677336,4677335,7403786,11161843,16073885,19539665,22203516,22203595,25433884,29547108,22203486,22203484,27979389,31798906,28372925,21155671,15200055,15200056,15846050,11859595,11859594,16944993,21933853,21933537,15845979,10981408,10981407,12548599,17735577,24093509,29547948,22204339,22204341,29264882,29268500,21946206,21946205,21665870,15630170,10816300,7148327,7148328,10816304,15630177,21665884,28944727,37486812,29267962,29267963,21946275,15857125,10990758,7275647,7275648,10990767,15857142,21946299,21987073,15890745,15890742,16906280,11831219,11831218,16906273,255966155,29267953,29267954,268218311,15858017,21947439,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276621,10992150,15668752,15668751,21711185,20940836,20940837,21253140,25361086,30729516,23311135,23311136,28243326,21044224,15115898,10426430,10426433,15115892,21044210,28243305,36738401,46626284,47757483,37834991,29268907,21947390,21947388,24113960,24113961,31619149,27007682,20116337,14426415,14426413,10991768,10991766,15858564,254338584,254742502,268211792,255664746,44528436,35152187,255261812 Dl.O(d2) = 15393097,14918890,14918891,10990401,7275425,4588261,4588260,5209928,5209927,4583907,2757924,1598866,1598864,2757917,4583893,7268654,5609024,5609023,8626442,12697634,10807502,7141323,4496471,4496472,7141327,7403794,4677336,4677335,7403786,11161843,16073885,19539665,22203516,22203595,25433884,29547108,22203486,22203484,27979389,31798906,28372925,21155671,15200055,15200056,15846050,11859595,11859594,16944993,21933853,21933537,15845979,10981408,10981407,12548599,17735577,24093509,29547948,22204339,22204341,29264882,29268500,21946206,21946205,21665870,15630170,10816300,7148327,7148328,10816304,15630177,21665884,28944727,37486812,29267962,29267963,21946275,15857125,10990758,7275647,7275648,10990767,15857142,21946299,21987073,15890745,15890742,16906280,11831219,11831218,16906273,255966155,29267953,29267954,268218311,15858017,21947439,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276621,10992150,15668752,15668751,21711185,20940836,20940837,21253140,25361086,30729516,23311135,23311136,28243326,21044224,15115898,10426430,10426433,15115892,21044210,28243305,36738401,46626284,47757483,37834991,29268907,21947390,21947388,24113960,24113961,31619149,27007682,20116337,14426415,14426413,10991768,10991766,15858564,254338584,254742502,268211792,255664746,44528436,35152187,255261812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13962804, s2 = 13960098, dlinesl.size( ) = 2 s1 = 13962804, s2 = 13960098, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13962804, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 9695850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9695850, s2 = 271327, int(edited[s2]) = 0 s1 = 9695850, s2 = 271327, d1 = 8, d2 = 13 Dl.O(d1) = 7894655,5015439,3033549,3033550,2019721,1155612,648368,359716,196977,196979,359725,648389,1155657,2019794,3420090,5534536,8536557,11577555,254546320,254244262,22818863,16599393,16599394,22818865,254244264,23927320,17585821,16600249,11577558,7706243,7706244,11577561,16600252,16600250,16600251,22819800,30211737,29746575,28834093,22387168,16228774,16228772,22387165,22387191,16228788,267960842,16228721,16228720,22387098,29649463,29649462,38215840,48126084,48717200,38796044,30211730,22819785,21015888,15094161,10410359,10410360,15094163,11575533,11575532,16597315,22816067,22818240,30210189,36699820,28208875,28208874,29744278,22385095,16227059,16227062,268110389,8299235,8299234,255169613,23762163,22563916,16384218,11403093,11403094,16384220,22385072,22385071,29744263,38312949,32834144,32834143,256217066,41755131,36723299,28229555,21032614,15106820,15106821,255271179,13555880,268300265,33372979,36723317,36723316,46610947,256356208,21032636,15106837,10419565,6868860,4311109,4311108,6868858,10419563,15106834,255803359,23321579,23321854,23321855,255715172,22445271,22445269,23321708,19453593,13921390,13921389,9661267,9661269,13442991,13259717,13259718,15477848,17056355,17056356,21839742,23321723,17056492,15770146,11965861,11965862,17056955,22915912,17421393,15797084,10945415,10945412,10922555,7224298,7224299,10922556,15770231,21839894,29147924,30742706,23321882,255430133,10926745,7228050,7226193,4553744,2737634,1586256,1586255,2737633,4553741,7226188,10924327,15771783,15771432,15771433,21841011 Dl.O(d2) = 20892659,14988848,10320127,6789631,4256685,4256684,6789628,10320122,14988805,14988807,20892632,14988827,14988826,20892625,14988801,14988802,20892626,14988827,10320112,6789621,4256681,2544744,1466063,1466064,2544746,4256684,6789624,6789639,10320145,14988841,14988840,20892660,14988887,14988886,20892710,28063262,24564608,18125006,18125007,23271743,17009542,11923475,7977556,7977557,11923481,8156337,8156335,5246430,3204650,3204649,5246424,3204678,1876561,1070540,1070539,1876557,3204670,5246471,8176925,254786424,12637834,8580539,5575012,3458267,3458266,5575003,8580518,12637806,12634763,8578630,8578629,6417385,6416448,4025502,4025503,6416452,9758630,9758761,9758759,14195959,17845458,17846636,19666765,19659370,18535292,13170104,8977669,8977668,13170124,14195861,16210331,11268430,7480247,4727347,4727349,7480258,11268447,14088160,14088159,11546694,7682162,4860916,4860913,7682150,11546670,9695057,9695060,13066155,13066160,11549943,7684344,7684341,11549941,16566757,16566758,16073040,16073041,11839261,11839258,10384571,10384574,11161267,8088754,8086371,8086372,12028082,12028085,12028313,16377886,16377888,17121521,17121523,22555402,19833105,16431367,11446461,11446460,12033056,8089479,5182744,3162068,3162066,5182737,8089466,12033024,10454438,10454441,7682208,4860934,2929243,2929247,4860947,7682240,11546830,14084811,19650304,26384805,34262430,32147621,24564546,18124950,18124949,24564541,24564540,32147614,40925041,44408967,35034437,35034432,26954404,26954403,24564602,18124998,18124997,24564601,32147689,40925130,38903353,30316403,22916009,16682610,11644926,11644925,14197397,12147110,12147108,11434212,11434182,11434185,16418169,16801309,19660198,21015036,15093536,15093538,21015042,254100894,16241663,22403878,29766667,26384409,19649848,19649849,26384410,34262133,43362057,39740831,31062926,31062927,37272422,37272423,34270944,30326292,22925185,16690730,16690731,17266333,22781645,16566087,16566086,14211735,9769963,6423672,6423671,9769969,14211748,19837944,16426291,16426287,22610536,24216532,24216531,19819577,19819576,26630221,26631092,30598206,24822006,18330515,18330514,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580772,8580770,12638228,17846822,22589094,16406610,254539506,4802923,4802924,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526317,10454563,8327087,8327086,6929647,4353662,2607633,2607635,4353675,6929675,7531160,5029314,4452157,4452159,7071405,10703436,13011920,13011919,18330347,22980774,16743643,16743645,17119061,12340276,12034754,8090557,8090558,12032351,12032373,17121919,14536224,10001492,6572679,4117201,4117207,6572690,9757321,6415701,6415699,9757317,12665598,8601193,8601192,12586132,11512486,7658332,7658331,11512482,16519194,19176785,13694301,13694302,19176787,25828836,33631026,30107574,29831707,22464280,16295950,11338194,11338193,16295948,254440838,35410711,27285605,20350484,14607114,14607113,20350483,27285603,35410708,27285894,27285893,255006194,14536278,14536279,20260142,27182783,35301956,44721525,55620398,269650097,55620384,68008320,269202601,44721522,55620385,44721516,35301950,27182780,27182781,35301952,44721521,52420991,57843137,46486908,46486907,57843135,70545149,68008327,55620391,55620392,68008329,63823691,52007884,41696229,32779868,32779869,38059089,38059090,47971402,47971470,38059147,29496064,29496063,38059145,47971351,38059039,38059038,47971349,59361932,72095281,85681862,99003546,85078162,71506168,70371090,57679375,46332596,36477011,36477010,46332595,46332258,46332259,57679035,70370771,257524448,269294273,46332261,46332260,46332297,257387097,28016023,20850068,14949749,10283885,10283886,14949751,14949974,10284153,6759625,4235937,4235936,6759623,6759379,6759380,10283879,14949736,10283891,267877727,2532508,1459372,1459371,2532505,254481195,10283876,255359901,28015997,36476717,37245402,28714395,22770804,22770805,30159021,28016011,20850060,20850059,28016009,36476734,31416832,23926859,22385279,16227232,16227231,255908735,38269363,29703292,29333227,23766499,17438560,12292282,11024385,11024386,11260525,7475407,7475408,11260527,16198826,11280702,11280701,12412545,12412546,255570181,30211847,23927557,17586038,12413210,8389878,8389879,12413211,12412923,12412922,17585756,17585786,15902289,15902290,22002411,16597230,11575464,7704857,7704856,11575461,12413172,8389837,7488502,4732487,4732488,4876290,4876291,7704854,11575457,16597222,22309571,22309570,29662089,29942211,22579087,22579086,29660239,22307953,16161288,16161287,22022170,29353402,28762501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9695850, s2 = 271327, dlinesl.size( ) = 2 s1 = 9695850, s2 = 271327, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9695850, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 13455555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8362224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15265898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15265898, s2 = 9056996, int(edited[s2]) = 0 s1 = 15265898, s2 = 9056996, d1 = 38, d2 = 57 Dl.O(d1) = 243529336,243794031,243529335,243244150,242938875,242611630,242611631,242938877,243244154,267249943,244039852 Dl.O(d2) = 267495148,245761268,267453374,267453457,245761265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15265898, s2 = 9056996, dlinesl.size( ) = 26 s1 = 11786651, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11834249, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11837197, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11849289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11904399, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15937376, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14970061, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11937595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14254696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15711990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11997761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11997761, s2 = 10360962, int(edited[s2]) = 0 s1 = 11997761, s2 = 10360962, d1 = 9, d2 = 20 Dl.O(d1) = 266095974 Dl.O(d2) = 231141948,265839416,226211228,226211229,274590605,234675295,266898961,274752495,265218574 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5854826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5854826, s2 = 7327999, int(edited[s2]) = 0 s1 = 5854826, s2 = 7327999, d1 = 17, d2 = 13 Dl.O(d1) = 235984889,235041907 Dl.O(d2) = 234005657,265468126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5854826, s2 = 7327999, dlinesl.size( ) = 44 s1 = 15900455, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14276266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15375662, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8008178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8008178, s2 = 11197062, int(edited[s2]) = 0 s1 = 8008178, s2 = 11197062, d1 = 48, d2 = 15 Dl.O(d1) = 42781000,47314097,58703473,59106294,59106296,59748251,59106326,47708176,47708175,59106303,59106582,47709326,37788295,37788296,47709328,47706265,37785335,37785334,47706263,37787136,37787135,47708202,59106338,62125995,59106293,47708133,37787076,37787075,37787109,29225175,29225177,37787112,47708145,47708144,59106300,47709302,47709301,47709305,47708166,37787124,37787123,38650423,37788313,37788314,41920729,32980607,29226323,29226322,37788274,47709295,58153479,58584474,58584475,57639474,46295206,36442229,27983166,20818965,14921784,10260787,6742642,4225097,2526383,2526384,4225100,6742644,10260792,14921792,20818974,27983181,36442241,46295155,36442183,27983130,20818945,14921773,10260781,10260780,14921769,20818940,27983126,27983140,30626111,37284659,28750359,21490965,21490966,28750362,37284661,46295151,38531590,29965603,22600737,16417478,16417476,22600736,28750366,37284669,47193137,57639487,57639462,46295191,36442217,27983157,20818962,20818924,14921762,10260775,6742637,6742636,268062031,255782867,269293339,57639478,57639420,57639419,57639407,46295147,36442177,27983124,20818936,20818937,14921778,14921777,20818951,27983146,36442201,37284654,37284655,47193128,58584458,58584463,57639416,47193145,37284678,28750374,21490969,15485307,15485306,21490968,28750369,37284672,47193140,58584470,257995087,46295189,46295110,36442155,27983105,27983104,36442151,46295107,57639363,70329597,83854756,97713608,111634798,125437720,111634834,97713645,83854791,70329626,57639403,53178599,46295175,36442204,27983149,255624668,27983142,36442196,46295167,57639435,58584455,58584454,71317916,58584522,47193179,37284709,28750402,21490981,15485316 Dl.O(d2) = 52477767,64347932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8008178, s2 = 11197062, dlinesl.size( ) = 8 s1 = 12362305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12362305, s2 = 2978227, int(edited[s2]) = 0 s1 = 12362305, s2 = 2978227, d1 = 8, d2 = 8 Dl.O(d1) = 257128729,62681980,75626606,89387673,89387676,75626608,75626607,89387674 Dl.O(d2) = 257128729,62681980,75626606,89387673,89387676,75626608,75626607,89387674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12362305, s2 = 2978227, dlinesl.size( ) = 2 s1 = 12362305, s2 = 2978227, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 12362305, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 12459625, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12513473, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15236704, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12654063, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15413738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15413738, s2 = 7987707, int(edited[s2]) = 0 s1 = 15413738, s2 = 7987707, d1 = 65, d2 = 45 Dl.O(d1) = 7277079,7277080,10860518,15688243,21737625,26405344,26405345,21199062,21199063,16791498,11740654,254235402,23035508,30084428,30084430,38661659,38839069,31594748,31594747,26406907,19672437,19672436,26406903,31088780,23604369,23604368,31088775,23744203,17419152,17419153 Dl.O(d2) = 48711813,38789753,38789752,48711812,47170520,37264513,28831818,21561258,254537206,8117362,8117361,12071215,17167768,22814296,22814298,30205930,256416604,40033549,31353570,23860033,17516578,17516577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15413738, s2 = 7987707, dlinesl.size( ) = 34 s1 = 15792965, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16256660, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12915858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12915858, s2 = 9385976, int(edited[s2]) = 0 s1 = 12915858, s2 = 9385976, d1 = 7, d2 = 12 Dl.O(d1) = 258538175 Dl.O(d2) = 86039936,258507800,38408274,29836089,22469000,16300469,11341866,7537283,7537282,11341864,11784875,11784874,16836658,16836657,22468998,29836088,38408272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12915858, s2 = 9385976, dlinesl.size( ) = 2 s1 = 12915858, s2 = 9385976, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 12915858, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14335938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14335938, s2 = 8335871, int(edited[s2]) = 0 s1 = 14335938, s2 = 8335871, d1 = 12, d2 = 15 Dl.O(d1) = 154762582,153939785,153939787 Dl.O(d2) = 259393560,85786605,99740374,271801248,86037775,72439626,61983395,257100527,31761380,24249619,17872437,12656381,8592791,8592790,12656379,17872434,24249613,31761404,269008183,61983465,74779632,88411016,74779606,61983442,258292813,88411041,100949762,86965735,73354189,60609189,49208705,49208704,60609187,73354185,269887301,50491476,50491477,61983382,61983452,258908340,85840697,85840698,99793414,113807358,116506087,123763907,109573025,95316854,88410989,88410988,102410987,88411036,88411037,102411037,90023063,90023064,95316853,81256361,81256360,85840699,258908344,109573030,109573029,95316857,81256366,81256367,95316860,100262776,100262777,260011802,127675402,127907549,116506093,102411000,88411000,74779548,74779549,85840730,259995591,127675409,259532782,100949921,115003926,128175753,128175752,127675405,113807397,113807396,116506097,116506098,117618360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14335938, s2 = 8335871, dlinesl.size( ) = 2 s1 = 14335938, s2 = 8335871, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14335938, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 15318357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15318357, s2 = 14165093, int(edited[s2]) = 0 s1 = 15318357, s2 = 14165093, d1 = 20, d2 = 10 Dl.O(d1) = 264258108,188777438,188777465,188777466,188777440,188777439,196563206,188777422,263205304,158224052,158224050,158224051,169601215,179798429,179798438,179798437,188777429,264030867,196563211,188777428,188777427,196563210,203232303,208826066,208826068,203232305,196563212,196563207,188777422,179798432,179798421,169601211,158224048,145853938,145853937,145853943,132634085,132634084,145853942,158224056,169601222,179798440,179798444,169601228,169601229,179798447,188777441,188777428,179798434,179798435,188777429,264030869,203232305,196563212,188777431,263690415,188777433,188777432,263780328,211356940,206348690,272436266,184761921,175189426,164402081,152539906,139823632,126451135,112582499,98588606,255716692,58384872,58384871,71101675,71101674 Dl.O(d2) = 128472945,141826052,154470837,164402080,152539905,139823628,126451132,112582495,257266858,257428744,60259768,60259767,72995405,74722867,61929274,58150098,46782532,36904765,28407438,28407441,23056131,16809481,16809480,21189798,15226905,15226902,21189795,28411335,36908700,46786353,37478048,32389139,24767805,18289752,12981829,12981827,18289750,268716949,51404250,257077159,23958984,17611147,12430896,8401518,8401519,12430898,17611148,23958986,31452195,31452192,31452193,25237378,25237380,32957245,41892646,256452570,20030536,14347536,9857644,9857646,14347541,14347577,255125162,20030920,20030919,26914291,255614480,47723992,256070326,21920647,21920649,29239249,25729899,19098000,13635206,13635207,19098001,25729901,19098065,13635250,13635249,19098062,14957407,10290572,6764781,4239496,4239495,6764780,10290569,10367608,10367607,9059032,9059031,6815185,6815186,10350366,10362029,9091860,9091857,13310755,18703900,14993356,10324302,6793315,4259293,2546297,1466927,1466926,2546295,4259291,6793312,4464546,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,26626989,34616589,42282369,36425654,27967057,23975307,23975306,29320090,26627349,26627350,25896100,25588476,22392992,22392990,29753470,33998647,31049594,23565245,19816944,14195089,9758234,6416212,4025370,2412241,2412240,4025364,6416196,9758202,14194987,14194988,19816800,16265205,11308615,7508018,7508019,11105365,7365108,4652560,4652558,4652591,2802768,2802770,4652604,7365205,11105522,15997296,22108970,29442583,22108938,16517966,16517967,22723118,19077826,13620199,13620197,19077820,15636031,10820245,10820243,15636023,21673780,25133610,254696306,21118327,21118331,21989081,16475567,11479302,7634954,4830176,4830178,7634962,10442620,10485030,10485031,15201478,21157112,26160327,19460503,15134044,10437940,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069836,13924874,9557913,9557909,13924859,13924788,9557874,9557876,13924798,13932885,19459565,13926239,13926238,19459563,26159192,26167313,26122911,254451906,13926439,13926441,19459894,21494504,21494506,21379680,19233862,15608418,10798610,10798612,13926579,13926578,13926686,13926688,9558964,8094192,6272245,6272249,9558986,9542981,6260994,5440493,5440490,8428100,254303104,254323541,268155448,10324165,14993165,14945655,10279828,7153425,254458064,4507459,2708549,2708547,2263123,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,1569385,1569389,2263076,2262507,2262511,3776835,6037076,9219586,254667854,268155450,37505856,47413486,256418579,29950832,38515270,48422469,57746932,46396170,36535312,28068543,20897336,14993256,14993257,20897338,28068538,36535303,36535306,28068540,20897334,20897335,28068542,36535310,46396150,57746901,258628239,97830390,105052056,90872800,76994322,256750844,52065444,63883708,67719034,81184004,74794993,74794994,77263830,64116800,64116799,59144151,47745525,37823550,29258582,29258581,37823548,47745523,59144149,71882296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15318357, s2 = 14165093, dlinesl.size( ) = 2 s1 = 15318357, s2 = 14165093, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 15318357, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 10979084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9920, s2 = 3990648, int(edited[s2]) = 0 s1 = 9920, s2 = 3990648, d1 = 45, d2 = 22 Dl.O(d1) = 116914,63764,35289,19946,11349,11348,19992,35494,64461,64389,64386,64625,64629,118099,215365,254110121,669983,1191563,2074193,2074205,3491731,5620540,5852936,8830685 Dl.O(d2) = 145177308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9920, s2 = 3990648, dlinesl.size( ) = 18 s1 = 9801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9801, s2 = 6807159, int(edited[s2]) = 0 s1 = 9801, s2 = 6807159, d1 = 18, d2 = 16 Dl.O(d1) = 114244,114246,62562,35410,19994,19992 Dl.O(d2) = 258723241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9801, s2 = 6807159, dlinesl.size( ) = 2 s1 = 9801, s2 = 6807159, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9801, Dl.E( ) = 30, 2.69e-05 seconds used appending s1 = 13210947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13210947, s2 = 16065, int(edited[s2]) = 0 s1 = 13210947, s2 = 16065, d1 = 4, d2 = 9 Dl.O(d1) = 42272,42255,23331,12973,12975,23335,42266,77540,79654,43642,24263,23142,23143,254070453,7493,7494,13578,254071655,23484,23485,42472,42471,77162,254071507,12893,7111,7112,12894,23181 Dl.O(d2) = 241977,428726,254148007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13210947, s2 = 16065, dlinesl.size( ) = 2 s1 = 13210947, s2 = 16065, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13210947, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 16273607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9738, s2 = 7083, int(edited[s2]) = 0 s1 = 9738, s2 = 7083, d1 = 3, d2 = 2 Dl.O(d1) = 113033,61948 Dl.O(d2) = 66511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9738, s2 = 7083, dlinesl.size( ) = 2 s1 = 9738, s2 = 7083, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9738, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 9097006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9097006, s2 = 9155930, int(edited[s2]) = 0 s1 = 9097006, s2 = 9155930, d1 = 1, d2 = 1 Dl.O(d1) = 90794262,270136228,51997600,63812835,76919562,90794265,256965882,57837334,57837332,46481338,36615011,28141298,20963126,15053503,10379409,6839523,6839522,10379406,11178155,11178154,10512138,10512140,11643729,14036421,14036423,11434191,11434189,16418175,22601336,24129290,24129291,18935923,13500399,13500400,268298685,31535934,24033431,17682333,12505086,12505085,17682332,15509475,15509474,10726227,7086859,254336305,1552779,1552780,1552782,2680603,254503423,6078392,3803307,3803306,6078390,3803308,2278177,1321185,753736,753737,267749295,242689,134163,73373,39718,39720,73384,72804,39517,39513,72784,133784,133757,133755,241842,428482,754199,1321954,2279413,3804260,2278805,2278803,3804253,3805058,3834409,2299270,1334101,761887,761885,754168,754169,1321887,2279308,2291084,1329251,758921,758923,755674,429391,242369,134018,72881,72878,134002,242340,134126,72937,72938,73375,39718,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39730,39729,73426,135046,244420,431396,758711,1327007,2287366,2287835,2287837,2384870,2384871,3812477,2283800,1324685,1324684,757600,757601,1327152,254303043,3805658,2279689,254302099,1324682,1324681,2283793,2298433,1333622,761633,761634,1323096,1320330,753196,427839,241476,133531,72686,39474,21759,21763,39496,72730,133645,241694,428231,753816,1321313,2278384,267862229,9279984,13555033,18994705,25607300,33372086,257212949,257804337,77865815,91788318,105982823,120182982,120096286,105884645,91677767,77750720,64568080,52667496,42280123,33298743,25536786,25536787,30812075,23383396,23383397,22240507,22240508,23406362,23406363,30835287,30811974,23383310,17112696,12025696 Dl.O(d2) = 90794262,270136228,51997600,63812835,76919562,90794265,256965882,57837334,57837332,46481338,36615011,28141298,20963126,15053503,10379409,6839523,6839522,10379406,11178155,11178154,10512138,10512140,11643729,14036421,14036423,11434191,11434189,16418175,22601336,24129290,24129291,18935923,13500399,13500400,268298685,31535934,24033431,17682333,12505086,12505085,17682332,15509475,15509474,10726227,7086859,254336305,1552779,1552780,1552782,2680603,254503423,6078392,3803307,3803306,6078390,3803308,2278177,1321185,753736,753737,267749295,242689,134163,73373,39718,39720,73384,72804,39517,39513,72784,133784,133757,133755,241842,428482,754199,1321954,2279413,3804260,2278805,2278803,3804253,3805058,3834409,2299270,1334101,761887,761885,754168,754169,1321887,2279308,2291084,1329251,758921,758923,755674,429391,242369,134018,72881,72878,134002,242340,134126,72937,72938,73375,39718,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39730,39729,73426,135046,244420,431396,758711,1327007,2287366,2287835,2287837,2384870,2384871,3812477,2283800,1324685,1324684,757600,757601,1327152,254303043,3805658,2279689,254302099,1324682,1324681,2283793,2298433,1333622,761633,761634,1323096,1320330,753196,427839,241476,133531,72686,39474,21759,21763,39496,72730,133645,241694,428231,753816,1321313,2278384,267862229,9279984,13555033,18994705,25607300,33372086,257212949,257804337,77865815,91788318,105982823,120182982,120096286,105884645,91677767,77750720,64568080,52667496,42280123,33298743,25536786,25536787,30812075,23383396,23383397,22240507,22240508,23406362,23406363,30835287,30811974,23383310,17112696,12025696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9097006, s2 = 9155930, dlinesl.size( ) = 2 s1 = 9097006, s2 = 9155930, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 9097006, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6422457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6422457, s2 = 15984507, int(edited[s2]) = 0 s1 = 6422457, s2 = 15984507, d1 = 16, d2 = 27 Dl.O(d1) = 254148381,430408,242969,134316,73018,73024,73403,39724,39721,73039,73403,39724 Dl.O(d2) = 13627034,19086656,25714972,24191983,24191982,31700092,33389952,42378449,52777353,64691441,77881230,91803790,105998825,92997039,78886770,268452406,43047240,33988559,26147760,19449812,267776256,13051613,8891177,5799911,3617272,2160101,2160099,1282834,733152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6422457, s2 = 15984507, dlinesl.size( ) = 12 s1 = 14077093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10941, s2 = 1230378, int(edited[s2]) = 0 s1 = 10941, s2 = 1230378, d1 = 0, d2 = 118 Dl.O(d1) = 132118 Dl.O(d2) = 3797869,3797145,2274674,2274388,2274390,3797184,6061922,6061926,3793200,2622537,2622536,4378707,6969935,9263436,7246453,4568981,4568987,2748107,2748103,4569004,5412298,3327002,1956567,1956564,3326986,5405447,5405450,8375641,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825456,8381501,8381499,12401931,10570943,10570941,7737987,4899316,4899313,7737975,9075100,11619077,7737800,4899212,4899210,7737794,11619065,14558243,10017761,9989789,7737506,4899051,2952626,2467944,1426524,1426525,2467951,4125451,6584428,8618072,8618070,12687158,17908389,15118062,10427741,10427740,15118061,255494068,12202168,12177976,8209655,8209654,5307686,3257816,3257818,4461334,3242886,3242887,4959957,4959958,7817765,8196127,8196128,12164687,12202105,8233580,5305652,5305651,5261417,5261416,5270071,3254785,1911814,1091816,1091817,1878946,3208309,3242808,1904867,1096468,1096469,1919497,3261910,1916847,1916848,3260157,3260155,5275443,5275441,5257340,3239654,1900733,1900735,1609336,1609337,2774426,3257562,5307322,8193525,5320717,3269515,1922444,1098263,1098261,1922441,3269511,5269109,3245058,3245059,5293880,5311888,3261730,1916708,1094738,614567,341657,187431,102356,56286,31717,31716,56283,102348,187412,254105231,919315,1616292,2786265,3210498,1891889,1891890,3226848,5260020,3215437,3215438,254581017,12160693,17281836,23594080,31077398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10941, s2 = 1230378, dlinesl.size( ) = 28 s1 = 6420269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6420269, s2 = 13209125, int(edited[s2]) = 0 s1 = 6420269, s2 = 13209125, d1 = 36, d2 = 26 Dl.O(d1) = 254113717,242251,133966 Dl.O(d2) = 133963,242242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6420269, s2 = 13209125, dlinesl.size( ) = 2 s1 = 6420269, s2 = 13209125, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6420269, Dl.E( ) = 40, 1.5e-05 seconds used appending s1 = 188678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 57312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 104602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13164495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7932876, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15192630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6422318, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7953229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 28915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020098, s2 = 199944, int(edited[s2]) = 0 s1 = 14020098, s2 = 199944, d1 = 34, d2 = 13 Dl.O(d1) = 30229,254070763,9122,4999,4998,9119,16094,28237,50299,91203,254086657,532600 Dl.O(d2) = 4744479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020098, s2 = 199944, dlinesl.size( ) = 30 s1 = 15968556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6425500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425500, s2 = 13189231, int(edited[s2]) = 0 s1 = 6425500, s2 = 13189231, d1 = 8, d2 = 10 Dl.O(d1) = 254200369 Dl.O(d2) = 64149,64151,65855,65856,254092229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425500, s2 = 13189231, dlinesl.size( ) = 2 s1 = 6425500, s2 = 13189231, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6425500, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 37349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 37349, s2 = 25863, int(edited[s2]) = 0 s1 = 37349, s2 = 25863, d1 = 71, d2 = 58 Dl.O(d1) = 716589,716590,1259028 Dl.O(d2) = 438372,441978,779152,1368228,2363010,259729999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 37349, s2 = 25863, dlinesl.size( ) = 66 s1 = 5043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14506051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10147074, s2 = 14063850, int(edited[s2]) = 0 s1 = 10147074, s2 = 14063850, d1 = 6, d2 = 6 Dl.O(d1) = 254206649,757056,757057,1326307,2286222,3816259,6099300,9311005,10399451,13592238,13592239,13601609,13601608,19053240,25674793,23873247,17528944,12362875,8353666,8353665,12362872,17528936,18995768,18995769,16659830,11627252,11627251,16659825,16659832,11627253,7745281,254366913,254366915,7745282,11627256,16659837,22888646,30286433,33157713,25416783,18825413,13412706,13412705,18825411,16659819,11627248,7745278,4904814,4904815,254801161,7512479,4749008,2862170,2862169,4749151,7512728,11314686,16272069,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,7280409,4591469,4591470,7280412,255065613,15868017,21960951,16272073,11314687,11314689,16272076,22439801,26679302,34672627,38377889,254966204,59675659,256727856,113990443,257291590,86007647,72411036,256727856,99966967,86007649,72411037,60426416,49022873,39094022,30498237,23084984,16832126,11770807,7858697,4987816,4987817,7858698,11770805,16832125,23084982,30498233,39094018,49022866,60426408,73173214,73173211 Dl.O(d2) = 254206649,757056,757057,1326307,2286222,3816259,6099300,9311005,10399451,13592238,13592239,13601609,13601608,19053240,25674793,23873247,17528944,12362875,8353666,8353665,12362872,17528936,18995768,18995769,16659830,11627252,11627251,16659825,16659832,11627253,7745281,254366913,254366915,7745282,11627256,16659837,22888646,30286433,33157713,25416783,18825413,13412706,13412705,18825411,16659819,11627248,7745278,4904814,4904815,254801161,7512479,4749008,2862170,2862169,4749151,7512728,11314686,16272069,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,7280409,4591469,4591470,7280412,255065613,15868017,21960951,16272073,11314687,11314689,16272076,22439801,26679302,34672627,38377889,254966204,59675659,256727856,113990443,257291590,86007647,72411036,256727856,99966967,86007649,72411037,60426416,49022873,39094022,30498237,23084984,16832126,11770807,7858697,4987816,4987817,7858698,11770805,16832125,23084982,30498233,39094018,49022866,60426408,73173214,73173211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10147074, s2 = 14063850, dlinesl.size( ) = 2 s1 = 10147074, s2 = 14063850, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 10147074, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8308308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8308308, s2 = 8013196, int(edited[s2]) = 0 s1 = 8308308, s2 = 8013196, d1 = 21, d2 = 53 Dl.O(d1) = 17639771,17639772,23985566,22546287,16370552,11392851,7569528,4787067,2885323,2885324,254536417,11392863,16370567,22546313,29901728,38458506,38458449,29901667,22546258,16370528,16370529,22546260,24125565,30430337,23024517,23024516,30430335,39019683,48138480,39019743,30430383,30430384,257000603,29662035,22309545,22309546,24125596,24125595,31631962,37927132,29360792,29360791,37927125,269362769,47398084,47398085,58786161,71516242,71294416,71294417,72796388,71294416,71294417,60057830,268608536,28088097,22543082,22543081,21214850,15246902,15246900,15246891,15246890,15309787,21270978,255709283,254952331,3944716,2361635,1367801,779068,441961 Dl.O(d2) = 38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755561,52069389,58857754,58857756,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,21736860,21736858,29027071,32834375,25129289,25129291,25129162,25129158,32834159,41755147,39393970,39393971,32834588,32834590,41755655,44423149,44423136,38651521,38651524,48566978,39408155,39408152,41755522,32834494,25129370,25129369,30755755,30803621,30803620,39408378,40274579,46758847,49818485,49818540,46758863,46758819,36880012,36880011,35048259,35048086,32171913,24585981,24585982,29955820,22591638,22591640,29955828,38520712,48428324,48428180,38520573,29955712,22591572,22591573,29955720,38520595,37366122,37366117,29027118,21736882,15687702,10860165,10860167,15687710,21736898,29027153,37573995,35237248,27141432,20233558,20233555,23630590,17314745,12190221,8220477,5290419,3241860,3241863,5290427,8220494,12190264,16250636,22415656,29781041,38353650,42419183,38520082,29955243,22591203,16408623,11424992,7594614,7594617,11425000,16408636,22591224,23123398,23123399,30541983,25304474,18729116,18729117,25304477,25732556,19100075,13636652,9337815,9337816,13636656,19100081,25732566,29957404,36421821,268126568,35337289,33487166,25712400,19084640,255682283,33487159,38520121,47920354,38004790,34002117,26160383,26160382,21325377,21325376,18870148,18870147,25134006,25134007,25134257,32839559,255093618,20911123,15005980,15005979,20911121,28084268,33631231,28329361,21118749,21118747,28329356,28329314,21118728,21118731,25539353,25132947,25132949,26996113,35080968,26996126,26996127,25539661,25539659,33301827,42282923,40155408,31471228,26151742,268399193,15996971,15996972,22108499,21992862,21992861,28328302,25794736,19233868,15608417,15608414,19439854,13910392,9546754,6263613,6263612,9546751,11018670,7294550,4600271,4600270,254758401,15894766,21992584,26157137,27221005,23854162,17511392,17511391,19148511,19457914,26157182,29321860,23618047,17304129,17304128,23618045,26157239,19457948,13925119,13925121,19457953,25894845,19235026,13742438,13742440,13924687,19427709,19457362,19461237,19461236,26159165,22765280,16551841,11536648,11536650,16551848,22765296,19459293,13926037,13925791,9558446,9558445,13925785,19458934,25774971,25774974,22294487,16149525,15043154,15043157,15397520,15397519,15608413,15608414,21640120,28914394,28327832,21117686,15171125,15171126,21117690,28327842,23577447,17265809,255546097,31060978,39738792,46665058,46665059,43028004,33970294,255812358,21118292,15171496,15171497,19429850,13902068,13902067,19429846,26124268,21118198,15171436,10463430,10463431,15171439,254741696,254338216,11964614,11964615,17055388,23320062,19439960,13910509,13910510,19439962,26135805,29320373,29320372,33998426,33998425,26156609,26156610,255581888,5527073,5527071,8528915,12575398,16612758,17803272,17786721,17786720,24153914,31578108,24072405,17715979,12532591,12532592,8540985,5538892,5538889,8540974,12589023,17786760,23710399,18917616,13486432,13486433,18917618,15539170,15539171,254280932,5865219,5865220,8984101,13180089,12537628,8499134,5500723,5500720,8499122,12537605,17721535,23319588,17055028,11964346,11964347,10746203,7099920,4470311,2685866,1555889,1555888,2685862,4470298,7099896,268116258,20151038,14455447,9945064,6536298,4095276,4095275,6536294,8566861,12620438,14454887,14454886,20150408,25200448,18637609,16604931,254353746,16795879,254124166,24087985,17730642,17730643,17794677,24162247,30739602,30739603,31662926,254413322,254529400,20151352,19703186,19703187,26442370,34319949,28265657,21062971,16469821,16469822,22664672,24132821,17769298,12574844,12574842,17769289,24132803,29668435,22316879,16171721,11239210,7459657,7459658,11239213,11239198,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,17784803,254353834,25416910,25416909,26444250,20149979,20149978,26444609,34321392,26892994,26892995,255902564,19705413,14129099,9720273,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244012,17375993,23698131,29091981,23301426,23301425,30448497,255553626,27042767,22316594,22316593,29668222,255412914,31601300,29082782,21796000,19704499,14128418,10436299,6880040,6880044,10436315,15131426,15131445,10899600,7208685,7208684,10899597,15737838,21797298,29094947,254267894,14168888,9740708,9740709,14168890,15734574,15734576,10898311,10898314,15735811,21794912,16647027,16194414,16194416,16941831,16941829,254842058,39234310,269868794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8308308, s2 = 8013196, dlinesl.size( ) = 30 s1 = 257793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16080697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16080697, s2 = 42347, int(edited[s2]) = 0 s1 = 16080697, s2 = 42347, d1 = 12, d2 = 16 Dl.O(d1) = 42624074,33599552,25802545,19156101,13678811,9367352,6292848,6292850,9507619,9507617,9367352,9367353,13678816,19156109,25802551,33599561,42624080,53071689,65054243,78333297,92366348,106670355,260904585,147846914,160100853,171327224,181355696 Dl.O(d2) = 68086216,55687929,44779782,35355084,27231987,20302838,255304066,6589473,4128319,2469522,1427385,811917,460070,460071,811920,1427389,2469527,4128324,6589479,254462180,20302841,255304070,44779790,46357991,36499925,28036702,20868656,14966466,10298814,6771543,4244274,2537653,2537652,3308485,3723642,2547291,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272651,254485451,254705991,4239679,2534920,1462445,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238159,4238160,6762748,10287680,10392402,10392403,14976149,20878003,20905543,15000622,10330904,6809988,6809989,10343915,10319453,254483495,2544530,1465944,1465943,2544526,4256328,254326241,2570022,267879611,4285520,4285518,5939178,4248808,2540114,2540113,4248805,6778376,10306816,14974552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16080697, s2 = 42347, dlinesl.size( ) = 2 s1 = 16080697, s2 = 42347, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 16080697, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 10994268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14861139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14861139, s2 = 1230068, int(edited[s2]) = 0 s1 = 14861139, s2 = 1230068, d1 = 121, d2 = 119 Dl.O(d1) = 4509466,2709699,1569758,892540 Dl.O(d2) = 3256551,5306311,8234329,12202833,12484929,12484930,11036803,8153244,5224234,3186953,3186955,3240310,1901183,1085219,1085221,1901195,1740866,989258,556512,556513,989265,989342,556561,556562,254172311,1085124,1085123,1901019,1906219,1906245,1088306,611034,339885,186574,186576,339893,611051,1088334,1655575,942026,942027,1655629,1090873,1090870,1910332,3252892,5302090,254584002,5274361,5274362,4575252,4575253,5274365,3228589,1893230,1893229,3228586,3238138,5240755,5240752,7303143,8171593,8170799,8170800,5302748,5302749,4611075,4611076,3249538,1907824,1907823,3249535,3246974,3246975,1906959,1906957,3248345,5234884,3195218,3195216,5234878,3222588,3222587,4613749,3229176,1893610,1893611,3229179,4957937,2993323,2993321,3215090,1883521,1094766,614580,614579,341666,341668,334507,184004,184007,334522,600507,601369,1070125,1875868,1886100,1882501,1871957,1871956,1887710,1077055,1077052,1077115,604988,604987,1077138,914892,914888,1608164,254123077,518272,918960,1615794,254348177,4627742,2787525,1617130,919826,919825,969235,1705030,2940230,4879716,5258357,3214150,3214151,267906367,5273474,267994255,11584098,7710488,7710487,268210196,2775673,2775672,4610115,5248981,3206682,1877904,1071336,602012,335269,335268,335231,184344,184342,335225,601924,1071167,1877624,3206261,5248441,5265236,5265237,8178830,11403230,7577474,7577475,11403231,8165852,5265242,3220174,3220176,3218223,3218222,5262999,7571721,7571720,7577774,5239141,5239142,5861356,5861355,5258368,5258367,8188827,8178005,5258607,3214359,3214357,5258596,4720069,2843717,1649666,937993,937994,1649669,2843684,2889154,1676853,954025,537909,301555,301558,537886,945453,945450,1661687,2863000,3214028,5258190,8188635,12158051,17278475,23590160,31073381,39750970,49769432,49769433,39750972,31073383,23590161,23590162,31073385,32031183,32031182,40788052,50904766 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140738, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 29640, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14855786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14855786, s2 = 10191443, int(edited[s2]) = 0 s1 = 14855786, s2 = 10191443, d1 = 12, d2 = 15 Dl.O(d1) = 7598829,5964999,5965000,7593678,4803461,2895138,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,2452254,2899653,4099344,2899704,1682357,1682354,2899698,4811390,7605179,7622504,7622505,7619325,7619322,10324215,6793271,4259269,4259266,6793264,10324202,11767423,7856419,4986418,4986419,7856420,11767425,255114550,13406871,9166162,9166161,13406869,11571229,11571227,16002252,11109495,7368192,7368191,11109491,11109459,11109457,16002202,22114742,29448283,38010539,37405028,30723025,23305472,17044562,11957264,255529149,18555090,257173537,63860813,76972489 Dl.O(d2) = 76972489,259631311,260843783,133053768,261948931,146281469,262758568,86581027,259431750,256996188,255507954,12015651,11989767,8041650,5168892,3150970,1843501,1051955,1051953,1843494,3150958,254571722,5101024,4994234,3017373,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,1042902,254258801,1053280,1053282,946433,533687,299304,299303,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830645,3127081,3127082,5141130,3155055,3155054,5173457,7406605,267837921,3101593,3101577,3101576,3101589,3101590,3134918,1832884,1046028,1046031,1832864,3107086,5115584,3107140,3107141,5115671,8026548,5115735,3107181,1815613,1036728,584018,326372,326373,584021,1036736,1815628,3107209,5115778,8026668,8052753,8052752,11999632,12687511,17065041,23331691,23350144,23350143,30773644,39374645,49301621,60703237,267915700,74213614,61434745,49957059,40274679,31588818,31588817,31678464,25527835,25527834,22239387,22239386,17387628,12300688,12300690,11185920,7422133,7422132,5328517,3275304,3275305,5328520,8259198,12231524,8524278,8524279,12232507,12232503,12608726,8557596,5554514,5554517,8557608,12608754,12275141,8289823,5347892,3286631,3286633,5347896,8289830,12275155,267774130,31223583,24156050,17788977,17788978,23740261,17416265,12275277,8289911,8289910,12274957,12274958,11474122,11474121,16468047,22662524,22180818,16054551,11147394,11147395,16054556,17829753,17829754,24139904,23712106,23712105,23712095,23712093,22796047,254558930,254866252,17801927,12601653,8551656,8551654,8493280,8493278,12531965,8494878,5496116,5496119,8494865,12533245,17716672,17812467,17812464,17725552,254279822,17787262,17787261,18228343,24193969,24111352,24111353,22183615,16056798,15539148,15539149,21560154,28830830,31577681,28181473,20998872,15083507,15083506,17740422,12552355,12552356,17386740,17386735,17386736,12599999,12600000,12611455,12611457,12611464,12611465,12599997,12599996,14211200,19837269,24071940,31577676,31616444,29522756,22180093,22180092,17750982,12559750,12559749,11475774,11475773,16470428,17784760,17784759,17824215,12620092,12532841,8494350,5495540,5495538,8494341,8563723,12616041,17817804,17800943,15539125,10746784,10746785,15539131,17715233,12531941,8563504,8563503,8563523,5560451,5560455,8563539,12615764,15231027,10506714,10506710,11560614,11560615,16580413,17768924,17768926,19360347,21033935,17386348,12251822,8274533,5339067,3281803,1930269,1930268,3281798,5339051,8274507,12251774,17386263,23709706,28829998,26445175,19706132,14129634,12601627,8551633,5549560,3434820,3434816,5549544,8509138,12549977,17737159,17711543,17711542,24067328,24067356,23682830,23682832,254280634,30569442,23152028,23152026,24094213,24186747,18863526,13440585,9190120,8559781,8559779,9968914,254093756,20193048,254204590,24083174,17725911,17725910,24083172,254138078,21517431,15506610,15506608,19230075,23041226,23041225,27041976,20149101,14453897,255747989,25339753,18759730,18759729,25339751,31621822,24198025,23778776,20151699,14455953,12632685,12632538,8577275,8577274,12632534,17839143,254867366,14454306,9944374,6535875,6535837,6535836,6535913,6535922,6535921,9944448,14454454,20149822,22313430,16167913,16167910,17799231,17799229,17799137,17799135,17799209,17647875,12475487,8445500,8445499,10421440,10421439,15109087,20148588,14453513,14453512,17896949,12677251,11475481,11475482,10757516,10757513,15553533,21576742,19705146,14128892,14128893,19705135,19704795,14128611,9720001,6394192,6394189,9719989,14128582,11743775,11743776,9945420,9945422,9944281,9944285,14454150,14454206,20149494,17712187,17712188,17836938,16171695,11239200,8550232,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,14128281,19704332,26443472,34320743,27042715,27042714,254844538,14129099,9720273,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,12478882,10898877,10898878,268108934,29093728,28267950,28267949,29091180,22317010,16171839,11239308,7459712,7459709,7459765,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,8002711,8002681,5094755,3092439,3092437,5094751,8002666,7961897,7961898,9740807,14169023,14169022,15734959,15734958,15736239,10898576,10898575,15736236,17041222,12310745,8315157,5365356,5365358,8315160,12310750,10897355,10897356,15734286,21792954,24153761,23797068,17465372,12313297,12313298,17310113,23625740,21784941,15726422,15726424,16171386,15736445,15736444,21795675,28267472,21066363,21064702,19781908,14169228,14169226,15130295,10899917,7208861,4542119,4542121,7208870,10899938,15738355,18833858,15734575,15734576,10898311,10898314,15735811,21794912,16647027,16194414,16194416,16941831,16941833,21779548,21779550,19782111,15734355,15734316,15734318,12575701,12273824,12273823,17414938,23739457,31222803,37641805,47548272,46408382,36546851,36546850,38872145,33586054,25790479,254321474,6781783,4257311,4257312,6790484,4265096,2549972,1468937,830981,830980,1462458,1462457,1470088,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,3708566,2220925,2220922,1478244,1478242,2567407,3703299,3703298,5922445,3710410,3710411,5934070,9074101,9095630,10366785,15039290,13271258,10297672,6770444,6770445,8594798,5584509,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927825,6386493,255719641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14855786, s2 = 10191443, dlinesl.size( ) = 14 s1 = 6560330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11042456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042456, s2 = 3321499, int(edited[s2]) = 0 s1 = 11042456, s2 = 3321499, d1 = 63, d2 = 90 Dl.O(d1) = 270154294,17608961,23955950,31448444,40128207,31448686,23956211,17609176,12429686,12429685,8860147,5775142,5775141,254432865,3598055,5775120,8860116,5775136,5775135,8662509,8662508,12746601,17985114,23956191,23956189,23956185,255181725,12429673,17609161,23956187,255612241,8734839,8400607,8400606,12429411,12428489,8400070,254855523,8400065,8400612,8400613,254404934,8400819,5421082,5421081,8400720,8400719,5421077,5421076,254855629,254855525,5420617,3332564,1959989,254135703,628254,1119666,254271923,5421086,8400824,254888079,5686637,3537544,2105734,2105735,3332252,1959778,1119512 Dl.O(d2) = 256971268,137494187,150524807,260027044,192008084,199367817,199367819,205594633,262741032,204331504,197865004,190277377,262936764,160260310,148012475,134892656,121091168,106831859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042456, s2 = 3321499, dlinesl.size( ) = 8 s1 = 90865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 35004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 35004, s2 = 15345896, int(edited[s2]) = 0 s1 = 35004, s2 = 15345896, d1 = 0, d2 = 15 Dl.O(d1) = 669257 Dl.O(d2) = 8638717,12714162,12714160,255207279,24330824,31850685,40548819,50584732,62076777,74874963,88511016,102519026,116623193,130468117,143796980,156322052,167902820,178329768,187530953,195540148,202390820,208149794,212898484,216781215,219998955,222714725,225047324,227072851,228840656,230397584,266154331,266289938,232726717,231457533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 35004, s2 = 15345896, dlinesl.size( ) = 2 s1 = 35004, s2 = 15345896, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 35004, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10986730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 57731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 57731, s2 = 34988, int(edited[s2]) = 0 s1 = 57731, s2 = 34988, d1 = 4, d2 = 2 Dl.O(d1) = 1231877 Dl.O(d2) = 669087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 57731, s2 = 34988, dlinesl.size( ) = 2 s1 = 57731, s2 = 34988, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 57731, Dl.E( ) = 18, 8.82e-06 seconds used appending s1 = 64115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 64115, s2 = 13178728, int(edited[s2]) = 0 s1 = 64115, s2 = 13178728, d1 = 6, d2 = 15 Dl.O(d1) = 1329275 Dl.O(d2) = 2280567,3807169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 64115, s2 = 13178728, dlinesl.size( ) = 2 s1 = 64115, s2 = 13178728, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 64115, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 103754, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 64434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14241345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 73803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 73803, s2 = 7871176, int(edited[s2]) = 0 s1 = 73803, s2 = 7871176, d1 = 0, d2 = 67 Dl.O(d1) = 1517289 Dl.O(d2) = 15539271,10746877,7100257,7100256,10746876,7562114,4781677,4781678,267841078,12135161,16331410,16331409,22505351,27018746,20127862,14435959,11359386,7547002,4773106,2877049,2877050,4773111,7547009,11359395,16327724,22502006,22507025,22507026,29350346,23029251,16786601,11737183,7836225,7836226,11737187,16314802,11350897,7542200,4770643,4770644,3240921,3240916,5289340,254104946,15330502,15330503,21297991,16307871,16307869,22477282,29843984,38414578,48323637,268259080,22472465,22490934,16317758,11352727,7543195,4771166,4771165,7543193,11352724,11545041,11545038,16562763,22490161,16562618,16562619,16736462,11693037,7798583,4945426,4945423,7798574,11693021,11351943,11351941,11692889,10026325,6589588,4128390,4128389,6589585,10026319,14570447,20303212,16316532,16316533,22489430,29845728,38415547,30375119,30375120,29414260,29414259,29859917,23008168,16859337,16859336,23118978,21530678,21530679,16978352,11891562,7951266,5057126,5057127,7951268,11891565,16978359,23244833,30662351,28226654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 73803, s2 = 7871176, dlinesl.size( ) = 2 s1 = 73803, s2 = 7871176, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 73803, Dl.E( ) = 78, 3.19e-05 seconds used appending s1 = 14018978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 452884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 452884, s2 = 13168712, int(edited[s2]) = 0 s1 = 452884, s2 = 13168712, d1 = 13, d2 = 9 Dl.O(d1) = 11482180,7636886,4831437,2911269,1688875,1688874,2699506,2699507,2700048,1564189,889213,889217,1564106,1652085,939658,939657,1562943,1562940,1563010,2698090,2698214,4490511,3259436,1914991,1093635,613945,613944,1093633,254266407,5309370,5242378,5242377,5292370,3243757,2888087,2888086,1907046,1907044,2712053,2712049,3227453,3227451,2761396,1600779,910157,513444,287992,287991,513439,910144,531750,298194,165141,90879,50053,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,4607980,2773878,1889025,1889024,254392991,3245865,5294720,5303316,5266629,3221441,3207152,3207154,254375657,1773504,1773503,1910183,1887933,1887934,3221392,1889970,254393125,4629322,2788737,254182967,1091542,1911354,3229484,3229466,3229465,5275296,4575161,3222011,3222012,3246603,1905700,1905701,3224902,1890509,1078782,254181573,1077964,605454,336955,336956,605456,1077967,1889030,1904076,1086990,610327,610326,1086988,1611663,2778118,3255105,2788807,1617974,920334,518963,518965,518957,291018,291017,518954,606973,1080714,607050,337777,337775,607041,915471,915470,1595447 Dl.O(d2) = 3266919,5290633,3241987,3241991,4604720,2787083,1616833,919645,919646,1616835,2787086,4624274,4624273,4624436,5243374,3201997,1874789,1069484,601046,601045,1069481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 452884, s2 = 13168712, dlinesl.size( ) = 2 s1 = 452884, s2 = 13168712, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 452884, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 14482553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14482553, s2 = 4005949, int(edited[s2]) = 0 s1 = 14482553, s2 = 4005949, d1 = 12, d2 = 4 Dl.O(d1) = 268091662,254121183,503219,891732 Dl.O(d2) = 146836223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14482553, s2 = 4005949, dlinesl.size( ) = 2 s1 = 14482553, s2 = 4005949, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14482553, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 13269009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13269009, s2 = 6828114, int(edited[s2]) = 0 s1 = 13269009, s2 = 6828114, d1 = 48, d2 = 14 Dl.O(d1) = 15564569,10765519,10765520,15564571,21590818,28865309,28865306,28865307,37406473,47315070,58704265,59030538,47628359,37706084,29145925,21838117,15768525,10920840,7222702,7222700,267988745,17056643,21839873,29147905,255864949,254750763,7224295,10922544,10923656,10923655,8009461,5098710,5098709,8009459,255143929,8010047,8010048,7223219,7223220,7223203,4551227,4551229,4551966,4551967,7223240,10921370,7223840,7223841,10921977,15769529,15770052,10922390,10922387,7224164,5098903,5098904,4551809,2736252,2736253,4551812,7223977,10922203,10923386,10922269,10922270,8009628,254380475,1808203,1808207,2741746,4559477,7233006,7225009,4552677,2736833,1585770,1585768,2736830,4552666 Dl.O(d2) = 258930108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13269009, s2 = 6828114, dlinesl.size( ) = 2 s1 = 13269009, s2 = 6828114, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13269009, Dl.E( ) = 50, 2.69e-05 seconds used appending s1 = 13182541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15925301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058027, s2 = 7829562, int(edited[s2]) = 0 s1 = 14058027, s2 = 7829562, d1 = 31, d2 = 25 Dl.O(d1) = 47649261,37727449,37727448,47649260,47649264,47649263,40261253,256375760,8491032,8491033,12529864,17712877,17376710,12244891,8270043,5336410,3280356,3280355,5336408,8270040,12244885,17376701,16793868,16793870,254535240,15173872,10464988,10464987,15172575,10595317,6989761,4392367,4392366,267962419,255395537,28532558,23141015,16880833,16880835,23141017,21121701,16943978,11858764,11858765,16880421,23140577,28532683,28532573,23141026,23141024,23141300,16881183,15339424,15339425,11279984,7487786,4731971,2851061,2851060,4731969,7487782,11279976,7487813,4731984,2851069,1654288,1654287,254355379,7487808,11280005,16226434,11810466,10595584,255395575,10595756,10595755,15340459,16153947,16153946,21310161,21310160,255174312,16153867,21308896,255029109,10594538,15339032,21308899,21309376,21310066,21310067,21308850,15338976,10594492,254497849,2631593,2631594,4392008,6989190,10594498,15338980,15339104,21308972,21309366,15339495,10594914,10594915,15339499,17636595,15338739,15338738,15338736,15338735,12529826,8491012,5491705,5491703,6990273,10595999,254519766,24068741,255068792,46908223,58273386,55256908,44409492,256215859,255741423,20068448,21662754,15626992,10813384,10813385,9877552,7145736,4499566,2703715,2703717,4499553,6500327,6500326,4073341,2437329,1409331,1409330,2437323,4073330,6500562,9880509,254469429,4067444,4063616,2431911,1406650,800462,267762055,2431905,2431906,4063604,6481703,6481706,4883370,2942595,2942598,2449635,2449640,4094590,6535027,7832426,4971790,4971788,3003006,1743990,1743987,3003017,4971845,7832504,7145827,4499637,3316757,3316758,4882961,7195883,8297789,8297786,12286925,17432405,21436614,21436616,28686625,37210966,47107784,58485907,58840044,58840043,270302089,99061164,99313165,85368268,71778459,59035983,47633733,37711546,37711545,47633731,269639737,44565769,55413430,67753838,81220250,85136997,85136996,99061165,113048493,106592238,92293924,92293923,78266741,71207550,71207549,84776509,98704753,112700683,98704807,84776557,71207605,58485901,47107779,37210964,28686622,21436611,254586094,14493462,20199037,27098523,35187383,44565771,55413435,67753845,73272670,60527962,49127241,49127240,60527960,73272665,258204767,49173193,39248017,30652194,23230808,255139009,7934262,5044934,5044935,254379743,1803873,1803874,2064107,1184658,1184657,2064105,254422217,2944627,1707635,1707637,1799423,254254237,254564735,11935090,17019019,23277191,18040326,12788060,8693695,8693696,12788063,18040333,24431977,18018688,12770798,8680462,8680463,12770801,18018692,16961017,11872895,7936393,5046743,3057075,1781847,1781846,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,282931,282932,504610,894454,1573107,2714961,3053824,3053823,3073682,3073681,3077410,1795608,1024469,577286,322987,322988,321357,321358,573954,574007,321378,321381,322774,322773,576861,576880,1023648,1019735,1019736,1788467,3068005,5045519,3072641,3072640,5056697,3063577,1785867,1018357,573906,573905,1018356,1785866,3063574,3054663,3054664,267894564,7944412,5052381,5052385,5060140,4767701,3075968,3075965,2714810,2714808,4517157,254564325,3079107,267837295,5045632,7935014,7956554,5060735,3066054,3066055,3077353,3077352,5059262,5059261,7954390,7954813,5059587,5059588,7949848,7949846,10425013,6873332,5172894,5172893,4938649,4938650,7789299,7943729,7992991,11876791,11901743,7959793,5063148,3067750,1788325,1788324,3067744,5063135,7959766,7082403,4459033,3064944,3064943,5058897,7439161,7089430,7089428,4647685,4647684,7357627,7791614,4940195,4940194,7791611,11684392,7967215,5069067,5069066,7967211,7439308,5049483,3059396,254255482,6889117,7953507,7953506,11894424,11954857,11954856,16964757,11876668,11876669,16964758,11948052,11948053,17033303,17025110,11940117,7991253,5086390,5086389,7991252,11940114,12015782,8074552,5169142,5169141,7953488,7953487,11894401,7997295,5090978,3089543,1804569,1804568,3089540,5090973,7997288,7997304,7997305,11897236,11897237,11944089,7994631,7994334,6588395,4127671,4127670,6588392,10024402,7439340,7439341,6000464,3752562,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7973572,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,5129718,3118093,1822330,1822333 Dl.O(d2) = 5175941,7997513,7949958,7941583,7941581,10774674,10774670,11901211,11901212,11894815,7953811,7953808,11894808,11866645,7931168,7931166,11866641,11925510,16974006,16974005,16981302,11929511,11917339,7972107,7951237,5091340,5091339,7997860,11948093,17033361,23241289,16972620,254382120,3068024,3068023,5063583,7960396,7957067,7957068,11898562,11673312,7782257,4932634,4932636,7782262,7982673,7959240,5062840,3067592,3067593,5062846,7959253,7959222,7959221,11889102,11881661,7943224,5051606,5051607,7943228,8001725,11953182,16974224,11886866,7947112,7947113,11886870,254821502,7980693,5079226,3080762,3080763,5079230,5080063,3081216,3081215,5078191,5080048,5080046,7981954,10848026,7171656,7171653,10848018,11868677,11868676,11896706,7956580,7956582,11897989,11947467,11896607,11896606,16970398,17022139,16977047,11890090,7949871,7949872,6001178,6001179,9168976,9168974,13410536,13410552,254571260,11948326,17033519,22410631,16246941,11295444,11295445,16246943,22337256,16189484,12012953,11904942,7962527,5065335,3069544,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,3057353,3057350,2247387,1303614,1303611,2247378,267838512,254177652,11924281,16973352,11885894,11885895,11926035,7979922,7941032,7941033,11878685,11884381,11213224,7440227,4701249,4701250,7440192,10834941,7162231,4510932,4510936,7162211,7162210,10834915,15153363,15153364,17016050,11934174,11934172,11953049,11953050,12012069,8070039,5164221,3146918,3146921,5164225,8070043,12012073,255525623,5087367,5087366,7992427,11941501,17010794,11932536,7985345,5082158,3082350,254176067,1026345,1798760,3082347,5082151,7985335,11932524,11253309,7470142,7470141,11253308,11866249,7930805,7930804,11866247,254823984,21726008,15680158,254745751,4520942,4520943,7176853,255051373,21726014,29013491,256825966,37559848,37559847,47466758,58851088,71576923,58851101,47466766,256481632,29013481,37559851,257472669,71576933,85146468,85146483,75675218,71576975,71576974,85146501,85146502,85146503,99071268,113059901,126809301,113111614,99121317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058027, s2 = 7829562, dlinesl.size( ) = 2 s1 = 14058027, s2 = 7829562, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 14058027, Dl.E( ) = 32, 3.22e-05 seconds used appending s1 = 13220495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13301965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7830514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7830514, s2 = 7115879, int(edited[s2]) = 0 s1 = 7830514, s2 = 7115879, d1 = 42, d2 = 22 Dl.O(d1) = 3986223,3986224,5140633,8050086,11997484,17085080,12021008,8080625,5176122,254132604,3126178,5139897,5129502,5129501,3130801,1830239,1830240,3130791,5145792,8054957,5161787,3144856,2710524,1570283,1570280 Dl.O(d2) = 194263458,194263459,201294815,207212771,212093406,212093405,216080637,212093417,207212784,262775208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7830514, s2 = 7115879, dlinesl.size( ) = 30 s1 = 8012462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6437193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13352375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 226591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15130719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 94058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6496128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7814171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7814171, s2 = 12498351, int(edited[s2]) = 0 s1 = 7814171, s2 = 12498351, d1 = 20, d2 = 17 Dl.O(d1) = 64037,64041,65188,65186,119357,217487,254110363,697972,697971,1232838,2136188,3584468 Dl.O(d2) = 71085616,58369108,46998765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7814171, s2 = 12498351, dlinesl.size( ) = 2 s1 = 7814171, s2 = 12498351, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7814171, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 6431024, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9060565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16397475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15087540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15087540, s2 = 15653826, int(edited[s2]) = 0 s1 = 15087540, s2 = 15653826, d1 = 25, d2 = 17 Dl.O(d1) = 53503413,46404906,46404907,57755740,57755741,53503419 Dl.O(d2) = 1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,2954279,2954250,1713110,1713111,2954252,4901662,5966338,9118535,11553298,7687291,267980987,16572268,22788147,30176910,38759944,48681585,52312078,41971525,255142204,18727439,18727435,18727438,25302197,29950858,22587205,21360354,15382168,15382166,11820776,11820773,16892433,23153646,30571306,254565432,30571304,38281114,38281113,33028413,25302234,25302236,33028415,255974904,60632427,49232047,49232049,41971760,41971761,52312247,63044419,60504230,49099985,39738823,31061022,24744862,18271628,18271627,24744857,24744869,267988410,39305337,39305338,41971741,33028616,25302385,25302384,33028608,33028611,41177094,32361255,32361254,41177104,42711584,42711582,49231479,39304743,39304744,31061060,23577524,23577525,31061062,39738885,49757425,51363277,52312233,41971729,33028606,33028607,41971731,49231470,39304731,39304730,48617747,38702941,30126089,30126088,33028554,41971680,52312207,49230849,49230850,49232206,39305583,30707861,30707862,39305588,49065827,39135483,30536563,30536561,23117794,23117793,30536573,35251129,27152562,27152563,35251133,44635586,48617738,48617739,49065754,49065755,59292516,61236380,49757419,39738877,39738875,42172025,38702926,38702927,48617720,60007743,48618374,48618372,48618446,48618445,48617780,48617777,49065877,49065876,60469427,72742865,60007789,48617758,38702950,256976387,30760731,23337889,23337888,30760725,39361781,49288905,60690291,258209274,72061095,72061096,60006025,60006026,72741726,86338274,72741735,60006031,60006032,72741738,86338280,86994609,86338939,72742852,60007765,60007767,60690126,49288701,49288702,60690127,73438486,87056552,86337395,72740548,72740549,72740542,60004362,48613456,48613459,60004366,60005580,60005582,72740660,60690302,49288926,39361801,30760739,23337893,23337895,30760668,30760667,39361681,49288797,60690199,60690252,73438553,87056465,73438336,61535086,50056096,50056095,60006037,48615389,38699819,38699818,40036497,40036496,39361736,39361735,49288847,60690207,60005405,49288705,39361595,39361596,48615510,48615508,49288501,49288444,39361385,30760485,30760486,39361386,49288446,258165519,48614289,48614290,60005125,72741083,72741094,60689975,60689974,72741317,72741316,60689904,60005073,48614258,48614259,60005076,48614684,38702212,30125431,30125430,38702209,48614676,38699064,38699062,48614669,257302672,38702218,37537425,37537426,38699397,38699395,30122173,30122175,22742912,16535067,16535069,22742921,22739398,22739397,30121837,22743395,22743396,30125476,30121941,22739449,22739445,30121932,38699127,38699725,30122530,30122531,38699729,30122760,22740147,22740144,30122715,30125094,22742686,22742685,30125091,30122598,30122596,30122797,38700009,30125403,30125404,37537435,28992235,28992234,37537432,37537463,37537465,30125511,30125265,30125263,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742890,22743225,16535378,11524771,11524772,16535384,268219808,16535153,16535174,16535158,11524560,11524561,16535160,16535085,11524511,11524510,11524513,16532115,16532117,16535790,16532606,11522325,254543317,4849507,7664721,7666527,4850828,2923129,1695643,964191,964190,1695641,2923118,4850807,7665050,4849779,4849778,4851321,2923486,2923487,4851323,7664688,7664687,7667182,7667183,11524740,267895003,2923225,254362893,7666691,7664781,4849548,2922247,1695080,1695079,2922244,4849544,7664776,11522379,7667077,7667078,11525128,11524045,11522100,7664568,7664558,4849389,4849390,7664562,254362919,2923350,4851120,4850896,4850895,4850843,2923138,2923137,2923146,2923149,4850860,4851079,4849731,2922378,2922380,4849738,7664992,7667507,4851623,4851613,4851610,7666689,7666688,7667523,4851638,4851637,7666826,4851102,2923325,1695771,1695773,2923333,4849703,7664952,4850098,2922596,1695288,1695285,2922589,2922256,2922257,1695474,1695473,2922853,2922937,4850577,7666239,4851685,4851686,7666315,7666260,4850601,2922952,2922951,1696012,964415,543457,543455,964151,964152,1695562,1695424,964068,964067,1695420,2922795,2923362,2923360,4851141,7666903,11524945,11524367,7666357,7666356,7664756,7664755,7667512,11524670,7667563,4851656,4851657,4850301,2922752,1695391,964047,964046,1695384 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7998722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7998722, s2 = 13190261, int(edited[s2]) = 0 s1 = 7998722, s2 = 13190261, d1 = 14, d2 = 5 Dl.O(d1) = 19257603,13761852,9431410,254455085,2316753,1343593,1343595,1344240,1344243,1344233,1344237,1344235,1344232,2318576,2341487,2341653,2341655,2330951,2330953,2386121,2329155,2329153,3890086,6215033,9478202,9196457,6020846,3766553,3766494,2256683,1309736,747661,747662,1309739,1403806,822939,464774,464775,822942,1453454,2522209,2424661,1402494,1309665,1309666,2256584,3766329,6020507,254068874,6022037,3767371,2257221 Dl.O(d2) = 33283054,25522848,18913419,13482537,12958243,8818154,5744852,5744853,6032424,3773864,2261077,1428742,1428743,1455216,823950,823955,1455136,1455266,2525173,4223151,6739704,254996081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7998722, s2 = 13190261, dlinesl.size( ) = 2 s1 = 7998722, s2 = 13190261, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 7998722, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 16271623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6425937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425937, s2 = 7956810, int(edited[s2]) = 0 s1 = 6425937, s2 = 7956810, d1 = 11, d2 = 8 Dl.O(d1) = 254206375,1324043,1329323,758973,431543,243624,134645,134646,243126,134385 Dl.O(d2) = 244184,432369,760279,1331418,2286822,254450109,6090937,9288111,9298060,9306306,6096091,3814079,3814080,6096095,9306310,9321976,9288439,9288435,255272197,9304512,6094918,3813327,2284258,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656412,25735301,25419058,25419056,25712484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425937, s2 = 7956810, dlinesl.size( ) = 2 s1 = 6425937, s2 = 7956810, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6425937, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6788553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 39618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 39618, s2 = 7835543, int(edited[s2]) = 0 s1 = 39618, s2 = 7835543, d1 = 0, d2 = 0 Dl.O(d1) = 73039,73403,39730,39728,73416,135009,244338,432623,760588,1331868,2295439,3831335,6123638,9349131,13652995,13652996,19122319,19122320,25761503,25761504,33550750,42567508,42567506,33550752,33550751,42567510,257816999,64982142 Dl.O(d2) = 73039,73403,39730,39728,73416,135009,244338,432623,760588,1331868,2295439,3831335,6123638,9349131,13652995,13652996,19122319,19122320,25761503,25761504,33550750,42567508,42567506,33550752,33550751,42567510,257816999,64982142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 39618, s2 = 7835543, dlinesl.size( ) = 2 s1 = 39618, s2 = 7835543, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 39618, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13308603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13308603, s2 = 6737172, int(edited[s2]) = 0 s1 = 13308603, s2 = 6737172, d1 = 12, d2 = 10 Dl.O(d1) = 19214668,19214669,19214395,13724565,9401457,6159498,3854088,2309110,1339710,765182,765183,1339712,2309117,2320338,3874752,6191302,9444398,13775029,9443881,9443880,13775027,13061545,9444535,9444537,13776030,255695058,19272579,19272580,25934213,19271772,13775342,13775341,19271770,25934210,25934211,32532336,32532337,32532270,24887489,24887488,19272331,19272332,24887725,24887726,25873208,25873207,25934567,25934568,19272098,13775578,13774928,9443807,9443806,13774927,19271245,24888163,24363537,24363538,31891405,33741151,25933798,25933797,26413709,19678050,14106970,14106969,19678046,268495901,22358469,18388031,13061144,8900290,8900291,9443996,6191086,6191085,8900178,13060926,18387660,24887001,24887851,24887852,32532552,25933101,19272310,19272309,18388682,18388105,13061193,13061191,18388068,13061168,13061167,18388061,18819054,19271259,13775115,13775114,16834328,16834329,11772434,11772433,16834395,23087856,23088162,30501801,30501906,268239819,11772487,11772488,16834480,23088100,30501913,39097876,33679197,29893076,29893075,38449941,48352035 Dl.O(d2) = 257888954,54682008,44663117,35269543,35269544,38354209,38354207,48265201,52668325,42281036,254939692,18925873,18925874,25537731,29459239,25537583,25537582,33299566,42280917,33299723,33299586,25537603,18969731,18969730,25578176,33299559,25537570,25537569,22125013,254939684,255284014,52694365,42307449,42307450,42307454,33327016,25566377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13308603, s2 = 6737172, dlinesl.size( ) = 2 s1 = 13308603, s2 = 6737172, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 13308603, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 13171269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9155931, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 244780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 244780, s2 = 13214785, int(edited[s2]) = 0 s1 = 244780, s2 = 13214785, d1 = 3, d2 = 4 Dl.O(d1) = 5989729,3745330,2241880,2241884,1344200,1344202,1344236,1344237 Dl.O(d2) = 9526658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 244780, s2 = 13214785, dlinesl.size( ) = 2 s1 = 244780, s2 = 13214785, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 244780, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 1040526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1040526, s2 = 543971, int(edited[s2]) = 0 s1 = 1040526, s2 = 543971, d1 = 6, d2 = 9 Dl.O(d1) = 26318068,19592717,14038241,13829684,9485369,6220030,3893346,2331068,2316986,1343696,770793,770789,1344260,1344233 Dl.O(d2) = 13829334,19338041,254625130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1040526, s2 = 543971, dlinesl.size( ) = 2 s1 = 1040526, s2 = 543971, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 1040526, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10331113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 162668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 162668, s2 = 3844233, int(edited[s2]) = 0 s1 = 162668, s2 = 3844233, d1 = 27, d2 = 9 Dl.O(d1) = 3801554,254448731,2278347,2278348,254448733,4039672,2420525,254314043,254967657,19897810,17872346,255592363 Dl.O(d2) = 137489391,260589832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 162668, s2 = 3844233, dlinesl.size( ) = 2 s1 = 162668, s2 = 3844233, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 162668, Dl.E( ) = 28, 1.19e-05 seconds used appending s1 = 171658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 112244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6433275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6433275, s2 = 11049186, int(edited[s2]) = 0 s1 = 6433275, s2 = 11049186, d1 = 14, d2 = 12 Dl.O(d1) = 254325559 Dl.O(d2) = 102179235,88188208,258903968,256541842,255583436,254607752,8505582,5506007,267847487,2005973,1146789,643334,357071,357072,643339,1146796,1148710,1148708,1148742,1158495,2024269,2008620,1148477,644295,644294,1148474,2008617,2008676,2008677,2059461,1181817,1181818,1768283,1768284,3037435,5019593,5348421,4690294,4690293,7422160,5536220,3449764,2043358,2043359,3449765,5538460,3423909,2022744,2022745,3423911,5538464,8540344,8573277,12627589,16890538,11819319,7897575,254813291,16890541,23151355,256627304,21623302,21623199,20964958,20964959,28143318,36617198,268022118,31794090,31794089,40489118,41943828,33001899,33001896,254643708,21504662,19428453,13901061,13901062,15279387,21245865,21261350,15298053,15276593,10542809,6952919,4368792,4368794,6952924,10542819,12061646,8110007,5195867,5195868,8110012,12061657,8110831,5196354,5196355,4381422,2623941,2623940,4381445,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791700,2273120,2273122,3794926,6065311,9260561,13530018,255536999,30858848,39463461,48312817,48312816,59699725,59675016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6433275, s2 = 11049186, dlinesl.size( ) = 2 s1 = 6433275, s2 = 11049186, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 6433275, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 72599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 72599, s2 = 9669289, int(edited[s2]) = 0 s1 = 72599, s2 = 9669289, d1 = 0, d2 = 0 Dl.O(d1) = 4320809,4320811,2584642,1489671,1489673,1489676,843302,843299,475810,267599,148194,81472,44588,24764,13862,7643,4072,4070,7641,13853,24753,44576,81445,148147,267527,475728,254157013,837064,254118813,267598,267597,475808,841247,475420,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268960,477911,846437,1486905,846590,478024,269032,269033,478028,846596,1494293,1489243,842918,842917,254119146,2584196,2590689,4304324,2573503,1481774,837673,472067,472068,837675,845717,1493371,846241,477794,477793,846236,1489213,1493921,2590465,1493388,845729,477416,477418,845733,1493395,2580926,2580963,1486950,841291,841293,841228,841229,845683,1488791,842498,842496,845956,477599,477600,845964,1486917,844240,476410,267991,267990,476405,477594,478077,478076,478198,846669,1494374,1489444,844140,844141,1490876,849451,849450,1494801,846923,846924,1490734,1490733,844111,844109,1490825,1490824,1491026,2586020,2586019,4323010,2591752,2591751,4311771,4311770,4315005,4315006,2586414,267822819,10421499,6870549,4312466,2578837,1485426,840275,473828,266320,266321,473832,840288,1485447,2578870,4312508,4313027,4313025,2580125,1486258,840763,474060,266442,147518,147516,266428,474033,840706,254221183,4314061,6872585,6872586,10424051,15112618,21040087,256292477,28238530,36733196,36733197,28238532,21040092,15112623,10424054,6872587,6872585,6872586,10424051,15112617,21040085,28238523,28238522,28238523,28238525,28238524,36733197,36733199,28238527 Dl.O(d2) = 4320809,4320811,2584642,1489671,1489673,1489676,843302,843299,475810,267599,148194,81472,44588,24764,13862,7643,4072,4070,7641,13853,24753,44576,81445,148147,267527,475728,254157013,837064,254118813,267598,267597,475808,841247,475420,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268960,477911,846437,1486905,846590,478024,269032,269033,478028,846596,1494293,1489243,842918,842917,254119146,2584196,2590689,4304324,2573503,1481774,837673,472067,472068,837675,845717,1493371,846241,477794,477793,846236,1489213,1493921,2590465,1493388,845729,477416,477418,845733,1493395,2580926,2580963,1486950,841291,841293,841228,841229,845683,1488791,842498,842496,845956,477599,477600,845964,1486917,844240,476410,267991,267990,476405,477594,478077,478076,478198,846669,1494374,1489444,844140,844141,1490876,849451,849450,1494801,846923,846924,1490734,1490733,844111,844109,1490825,1490824,1491026,2586020,2586019,4323010,2591752,2591751,4311771,4311770,4315005,4315006,2586414,267822819,10421499,6870549,4312466,2578837,1485426,840275,473828,266320,266321,473832,840288,1485447,2578870,4312508,4313027,4313025,2580125,1486258,840763,474060,266442,147518,147516,266428,474033,840706,254221183,4314061,6872585,6872586,10424051,15112618,21040087,256292477,28238530,36733196,36733197,28238532,21040092,15112623,10424054,6872587,6872585,6872586,10424051,15112617,21040085,28238523,28238522,28238523,28238525,28238524,36733197,36733199,28238527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 72599, s2 = 9669289, dlinesl.size( ) = 2 s1 = 72599, s2 = 9669289, "passes" = passes Sat Dec 09 04:19:08 2017: s1 = 72599, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 73214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 121603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935187, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6434556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6434556, s2 = 8071633, int(edited[s2]) = 0 s1 = 6434556, s2 = 8071633, d1 = 40, d2 = 59 Dl.O(d1) = 254342439 Dl.O(d2) = 47640239,47640237,37718220,37718219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6434556, s2 = 8071633, dlinesl.size( ) = 36 s1 = 16034843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 80571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 80571, s2 = 16356406, int(edited[s2]) = 0 s1 = 80571, s2 = 16356406, d1 = 0, d2 = 47 Dl.O(d1) = 1678358 Dl.O(d2) = 274884763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 80571, s2 = 16356406, dlinesl.size( ) = 16 s1 = 10341759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341759, s2 = 9176813, int(edited[s2]) = 0 s1 = 10341759, s2 = 9176813, d1 = 49, d2 = 17 Dl.O(d1) = 268250328,31350346,31350345,30363681,22962044,16725831,11683490,11683491,16725834,22962048,29964921,29966676,22601780,22601781,22875908,22875909,25323293,25323294,22596762,22596761,255119003,11610943,16643034,16414633,11430682,7599325,4807433,4807430,2897408,2897411,4807462,2952089,1711996,1711995,2952084,2893521,2893519,4800584,4939737,4939738,7790938,11683492,16725833,16725834,22894528,16664718,16664719,22894529,30292953,29256401,21935757,15848215,11552123,7686260,4863531,2930690,2930691,4863535,254794511,16571076,16394384,11410641,11410640,7687059,4864094,4864095,267791913,1699998 Dl.O(d2) = 259110278,38858952,257563085,30190943,22800948,16583983,255495915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341759, s2 = 9176813, dlinesl.size( ) = 26 s1 = 9123312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1171740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15907003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15907003, s2 = 9264729, int(edited[s2]) = 0 s1 = 15907003, s2 = 9264729, d1 = 40, d2 = 43 Dl.O(d1) = 231878817,230509240,228970372,227227228,225232225,222937823,265074928,213357648,208744648,203131034,196433731,188611954,179587456,169340385,157917824,261391661,132280490,145517290,132280491,118452708,118452707,132280490,145517286,132280488,132280489,145517289,157917811,145517282,145517283,157917813,157917819,145517287,132280488,118452706,118452705,132280487,145517285,157917817,169340382,169340381,157917816,157917817,169340383,157917820,157917821,157917825,157917826,169340378,169340377,157917812,157917813,145517292,132280491,118452708,104281741,90141564,76323358,63299816,51581677,41360379,32513407 Dl.O(d2) = 166450791,177035068,186393490,194550804,201538607,207420380,208142187,208142188,202382194,195530832,187520816,178319221,167892162,156311224,143786503,130458115,116613341,260162679,88500636,88500635,74863932,257690889,40536441,268451707,24319310,256559101,29146195,37706306,47628569,58095579,58095578,62065183,50572656,50572657,46723609,36840814,36840813,37767376,29205900,29205901,28343989,28343990,36840810,28740903,21483352,21483351,28740902,24166136,17798436,17798437,24166141,31675664,40370169,47439682,37531527,28986786,21703399,21703400,28986787,37531531,37531875,28987103,21703631,21703630,28987101,37531424,42374047,37531388,28986642,21703271,15662321,15662319,15662430,19835918,19835917,23761737,25619127,33385059,37531437,33384904,25619009,25619007,25619167,21703685,15662587,10842482,7167724,4514420,2712580,2712578,4514413,7167709,10842451,7167737,7167738,10842515,15662647,21703262,21703261,28986629,37531375,47439554,39283212,39283211,42911594,36840852,36840851,46723640,46803602,39283208,39283209,49209672,52772818,42373806,33384886,25618993,19004789,19004788,25618989,28986736,37531483,47439642,52772953,58826312,47439614,37531445,37531444,28986992,21703548,15662495,15363554,15363553,19004864,25619096,25618985,25618984,33384877,28986776,21703391,21703390,28986773,37531511,42374148,37531452,37531450,47439620,58826315,71554260,268678274,257061382,126890848,140238673,152928548,164758537,175509774,185048313,193377481,200524983,206559764,263621808,264281148,224267286,226381717,228223327,274290166,265429352,232480283,231185802,229742404,228115686,226261978,224132461,221677074,218817884,215432856,264465438,184722641,175145300,164352426,152484899,152484900,164352427,152489339,139768823,126393415,112523081,98528539,258670058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15907003, s2 = 9264729, dlinesl.size( ) = 2 s1 = 15907003, s2 = 9264729, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15907003, Dl.E( ) = 44, 1.88e-05 seconds used appending s1 = 10989420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10989420, s2 = 445891, int(edited[s2]) = 0 s1 = 10989420, s2 = 445891, d1 = 14, d2 = 28 Dl.O(d1) = 1917761,1095383,614916,614917,1095390 Dl.O(d2) = 8872000,5784311,5784196,5784194,8871756,13028689,13028803,8871843,8564631,8564633,12617253,17472430,12318448,12318451,9313671,6101006,6101007,9313677,12318876,17473025,16256434,11302269,7503716,4743109,2858463,2858464,4743114,7503727,11302292,15216157,15216159,11301446,11301445,16255257,22420775,29785841,256719734,29783351,22420134,16254693,11302226,11302227,13029206,8872082,5784357,3605235,3605236,5784359,8872086,13029214,18352400,23243523,16976365,11889288,7949107,7934591,7934592,11870693,9965248,6549501,4103125,2454328,1418761,1418762,2454329 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1489463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 140594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6492798, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 143300, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 690179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 90673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 342427, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 149994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 149994, s2 = 1270859, int(edited[s2]) = 0 s1 = 149994, s2 = 1270859, d1 = 7, d2 = 14 Dl.O(d1) = 3497878 Dl.O(d2) = 31894789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 149994, s2 = 1270859, dlinesl.size( ) = 2 s1 = 149994, s2 = 1270859, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 149994, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 94046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 94046, s2 = 9111551, int(edited[s2]) = 0 s1 = 94046, s2 = 9111551, d1 = 0, d2 = 18 Dl.O(d1) = 2094582 Dl.O(d2) = 8697808,12793495,18047158,24467019,32029211,27151486,27151485,35249868,44634278,52910659,55360590,58691736,47301308,47301307,58691735,61595195,50115508,40095128,40095129,50115509,61595196,74371470,87973370,74371467,74371466,74371462,61595191,61595190,258888679,101945635,101945634,260127417,101945631,259056162,61595188,61595189,74371460,87973360,87973361,101945629,115989794,115989795,129887171,143216683,155768405,167400527,177894719,181158308,181158307,190012794,197649038,202132992,202132991,264567539,202132994,195234909,187164900,177894718,177894717,187164898,263734658,187164905,177894723,167400529,155768408,155768409,272092592,259789088,137372621,123640729,109447637,95191896,81133867,67667217,55327316,55327302,44481201,35104702,27019390,20128373,20128372,256221107,44481199,55327298,59890066,59890065,59890068,48496064,38581290,38581291,30366012,30366011,38952269,48871904,60264521,72999933,86597573,100559140,98299499,256187282,58119358,46750832,46750831,43354363,34254416,26377116,26377115,30182970,30182971,38766515,255306776,58221981,256136438,28477859,25964789,19298862,19298863,25964797,33774465,25964840,19298884,13798331,9462128,6204181,6204182,9462131,13798340,16170065,22315096,29666854,38233091,48143535,49996197,61473800,53519565,43041158,33983648,26143825,19446608,13915955,9551169,9551168,13915952,19446602,26143818,33983641,37083483,37083484,37056012,37056011,255289732,46854193,46854194,58221975,58300612,255289714,46795017,42806847,38653155,30076482,30076483,38653158,43041129,46795010,37074045,28571024,21343051,21343052,28571027,37074051,46954229,48840597,38920160,38920161,36917260,36917261,40372173,43041156,46934489,37055988,28555418,21329964,21329965,28555423,37055993,46828439,37083480,28579085,21349682,21349680,28579081,22695704,16493387,11491483,11491482,16493383,22695695,30076502,37083472,37083473,46934318,37074060,37074061,37074040,37074041,46934514,40481804,37074082,36917235,28419386,28419387,36917241,28579067,21349672,15373741,15373742,21349677,28579076,267936802,58162534,46795023,46795024,58162537,58300546,58300547,53519542,255696744,58332305,46964585,46964584,46934588,46934587,46964601,46934414,46934415,53519554,48569042,48569038,42807385,255696774,65249940,71015848,58300619,268308324,71047929,58332278,267936800,28579060,267864586,46964566,46964588,46964589,58332295,58332294,58332316,58332315,71047954,84611841,84611834,256163970,71047961,58332319,58332318,71047959,256163968,72699336,257239062,42807492,42807491,257239082,256681481,33774941,42807279,53260293,53260295,58332280,58332281,71047931,84611827,255289694,46964570,46964569,58300602,58300603,256163936,257239040,71015868,58300648,58300649,59961337,48569020,38653169,38653170,48569025,59961351,53260476,42807487,42807488,49466616,49466615,59446440,48054854,48054855,59446445,71960138,62838194,51188011,51188010,62838191,75802393,84934743,71357752,62838215,51188029,51188030,62838185,62838186,62838224,58300289,46934252,42474822,42474821,52878629,51188025,41031455,257135913,62838203,73620361,60869915,60869916,73620268,78458392,71015575,65175154,59961348,59961347,72699324,60869906,60869905,65250061,65250062,75802432,62838253,62838254,72699328,72699329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 94046, s2 = 9111551, dlinesl.size( ) = 14 s1 = 94539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7628615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7628615, s2 = 11294718, int(edited[s2]) = 0 s1 = 7628615, s2 = 11294718, d1 = 163, d2 = 131 Dl.O(d1) = 269978392 Dl.O(d2) = 256149275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7628615, s2 = 11294718, dlinesl.size( ) = 120 s1 = 15939451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6425003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6425003, s2 = 6723240, int(edited[s2]) = 0 s1 = 6425003, s2 = 6723240, d1 = 31, d2 = 27 Dl.O(d1) = 254196161,255213359,12924976,254883102,8677607,254621986,254289783,2125204 Dl.O(d2) = 257726775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6425003, s2 = 6723240, dlinesl.size( ) = 36 s1 = 153270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 153270, s2 = 11507646, int(edited[s2]) = 0 s1 = 153270, s2 = 11507646, d1 = 13, d2 = 112 Dl.O(d1) = 3582292,2134757 Dl.O(d2) = 132438923,261930577,264607133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 153270, s2 = 11507646, dlinesl.size( ) = 40 s1 = 6421997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6421997, s2 = 68550, int(edited[s2]) = 0 s1 = 6421997, s2 = 68550, d1 = 28, d2 = 2 Dl.O(d1) = 254143093 Dl.O(d2) = 1344232,1385218,787897,787902,1385205,255716621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6421997, s2 = 68550, dlinesl.size( ) = 32 s1 = 153795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6497293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1634197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1634197, s2 = 7912229, int(edited[s2]) = 0 s1 = 1634197, s2 = 7912229, d1 = 37, d2 = 36 Dl.O(d1) = 41416926,32558057,24907436,18403151,13071689,8907439,5812718,3625897,2165438,1253187,712679,712678,1253184,2165433 Dl.O(d2) = 3750432,2245825,2245826,3750435,5997139,5997140,9162946,5997333,5997167,5997168,268024819,18813341,18813216,13402585,9163023,9163024,5997131,5997132,9163028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1634197, s2 = 7912229, dlinesl.size( ) = 2 s1 = 1634197, s2 = 7912229, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1634197, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 8163784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6418600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6418600, s2 = 6974723, int(edited[s2]) = 0 s1 = 6418600, s2 = 6974723, d1 = 8, d2 = 16 Dl.O(d1) = 254091102 Dl.O(d2) = 260830152,114540925,100510869,100510870,114540929,128423731,114540886,100510831,100510832,260646149,141776059,154422486,260234142,258990652,91049025,77144197,77144199,64013304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6418600, s2 = 6974723, dlinesl.size( ) = 2 s1 = 6418600, s2 = 6974723, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6418600, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 99331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 99331, s2 = 11628462, int(edited[s2]) = 0 s1 = 99331, s2 = 11628462, d1 = 131, d2 = 155 Dl.O(d1) = 2214766,2214767,3698314,5915539,9049284,13232762,254092278,3680250,2203229,2203227,2160494 Dl.O(d2) = 245111656,245269968,245418240,267410350,245689456,245558226,245418238,245418237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 99331, s2 = 11628462, dlinesl.size( ) = 12 s1 = 6692456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 244118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10992664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6455165, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 666817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 666817, s2 = 7976827, int(edited[s2]) = 0 s1 = 666817, s2 = 7976827, d1 = 8, d2 = 6 Dl.O(d1) = 17031260,19133495,268027598,3834090 Dl.O(d2) = 6172940,9421135,13749779,19243960,24778255,22465294,16297086,16297085,17333678,12208379,8239872,5312111,5312110,8239870,12208375,10790793,7129222,4488169,4488172,7129227,267809604,3928166,2351667,2351666,2351683,2351682,3928188,6273820,9561183,13929842,11514871,7659750,4846362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 666817, s2 = 7976827, dlinesl.size( ) = 2 s1 = 666817, s2 = 7976827, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 666817, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 9107750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9389960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9389960, s2 = 15569580, int(edited[s2]) = 0 s1 = 9389960, s2 = 15569580, d1 = 11, d2 = 13 Dl.O(d1) = 6531517,4092566,2448498,1415667,1415668,2448500,4092571,6531523,9937515,14445173,20138993,27031614,27031612,27031611,35118342,28068165,28068166,29976659,22609951,16425722,11441066,7607836,4812993,2900560,2900559,2900561,4812995,7607839,11441071,7851836,4983776,4983690,3010409,3010410,4983202,3010217,3010214,4983189,7850575,11758144,267872938,23120426,23120425,23108118,23108119,256462935,30622870,23200933,16931559,11850139,7920189,7920188,11850136,16931552,23200924,23666326,31154031,39837012,37389190,37389191,47298414,49942164,39924441,31248865,23764436,23132681,23132682,30473767,23063588,23063589,30473770,39065688,48989322,60386967,73127237,73127232,60386965,52256649,268343750,77252352,64105540,64105539,77252357,64105537,64105536,77252355,91170888,86842292,86842293,100823800,114874758,105370005,99472207,99472208,95636332,81603546,68114846,55718445,44811930,35387365,27262037,27262036,31034488,39148637,256240070,73229157,86842273,73413352,60665427,49264264,39338050,30739379,30739378,256444358,51668416,51667601,41425496,32565336,32565337,41425500,255235020,43210718,53722604,257157834,53722594,65779278,53722581,43210712,34123377,26257974,19539174,19539175,19539149,19539150,26257940,34123336,256700465,26257990,26257989,34123401,43210710,34123355,34123356,33308617,25547068,25547067,25547069,18934408,13498918,9235440,6048685,6048686,9235442,13498920,18934412,13990709,9611165,6312898,3956648,2369474,2369475,1371676,780799,442722,442721,780797,1371671,2369487,3956661,3956666,6312918,6144729,6144728,6312917,3956663,2369488,2369489,3956665,6144734,6312911,3956659,2369484,2369483,3956654,6312907,9611177,13696087,13696082,9379834,6144731,3844944,2303916,2303917,3844946,6144736,9379800,6144706,6144707,9379790,9379789,13696040,19179240,25832087,33634898,42664359,258440027,60088142,256545752,22796390,16579632,16579631,22796387,30186168,38769947,48691945,258171571,86420288,100376016,101900619,101900620,101900621,260123883 Dl.O(d2) = 177097520,186451733,194604217,201586111,265019721,222320565,224700405,226766955,228569322,266134319,266345915,274729320,266249006,232475824,231180888,229737015,228109907,226255610,224125443,221669536,218809863,215423844,211326911,206313515,200250540,273377346,175127418,261808630,139730799,126354762,112487113,98495301,84572423,269838546,46927837,37049770,37049771,37049646,28549807,21325112,21325113,17588460,12415067,12415065,17588457,23930356,31420520,37049685,36743438,28247536,27232132,20303004,20303005,27232134,30259585,22863694,16636552,11605023,11605022,16636549,22863688,29274313,29274314,28549944,25420088,18827997,18827996,25420085,33161183,28549954,21325230,15353166,15353167,21325231,28549959,29274340,29195422,21950861,21950862,29274324,28549897,28234237,28234238,28549971,21781690,21781691,29079647,37630151,37756758,31420536,23930367,23930366,28549872,28549871,29274342,29274343,33160834,25419793,18827807,13414479,255259685,25419786,33160828,29105373,21806915,15745738,10905173,10905172,15745737,21806913,29105371,37654764,47560617,58943347,71664898,257435468,99151863,113141797,126999561,140353567,153051052,164888403,175644306,185179347,193496678,200625794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9389960, s2 = 15569580, dlinesl.size( ) = 2 s1 = 9389960, s2 = 15569580, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9389960, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2031263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2031263, s2 = 13382557, int(edited[s2]) = 0 s1 = 2031263, s2 = 13382557, d1 = 80, d2 = 72 Dl.O(d1) = 52794645,42395055,257214961,269514543,33405882,33405881,30075059,30075060,38651272,48566712,59958661,268250096,47288794,47142065,47142066,42904775,42904776,50306591,40285335,40285334,35119334,27032484,20139676,20139677,27032486,27032470,20139668,14445699,9937868,9495478,6227798,3899084,3899085,6227801,9495483,13827668,9495590,6227877,3899136,2335256,2335255,2335229,1353517,254209557,3899087 Dl.O(d2) = 37391459,28851390,255413137,15556010,21579425,28851399,37391467,29315452,21987239,21987240,28691481,21440663,15445289,15445288,21440661,28691475,31887165,31887166,28644694,28644695,268222048,29316466,21988169,255525472,37271369,32618092,24952115,24952116,268073882,37415370,47323940,47113514,37216422,28691490,21440669,21440670,28691492,28851402,28851401,37391469,47113509,37216419,37216418,37216409,28691470,28691471,37216411,255453078,47323948,37415385,28873792,21598347,15570624,10770007,7115960,7115961,10770009,8163272,5233173,5233174,8163274,11844015,11844014,15556309,15856342,254345326,4588179,4588180,7275293,7109320,4476231,4476232,4587866,4587865,7274823,7213704,7213702,4974207,3004479,3004482,4974218,4587818,4587819,7115946,7115947,7147688,4501077,4501076,7147706,10815596,7265887,7265888,7116018,4480408,2692002,1559545,1559544,2691996,4480395,7109226,4476114,2689185,2689183,4476108,7109219,7109108,4475967,2689043,2689045,2692735,1560006,886928,254078240,2692738,4481632,7109547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2031263, s2 = 13382557, dlinesl.size( ) = 2 s1 = 2031263, s2 = 13382557, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2031263, Dl.E( ) = 82, 3.39e-05 seconds used appending s1 = 7836802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 68330, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6503969, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8375480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14194343, s2 = 9661428, int(edited[s2]) = 0 s1 = 14194343, s2 = 9661428, d1 = 32, d2 = 38 Dl.O(d1) = 254939838,28685186,21435403,15441037,254149470,6193990,3876853,3490158,3490156,5618228,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092166,6517584,254646920,9996767,254674407,6313670,9612255,9919638,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380149,682219,1209703,1413174,2444027,4085004,6519672,6520945,254690065,9122825,13350559,9122823,9122824,9123911,5970370,5970369,9123909,13351656,18751666,18751667,20136924,18195496,18195495,14420648,9919181,6519063,4084627,4084625,5676142,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916952,254209076,10606599,10606598,15353657,255656121,18753882,25333111,19681899,19231495,17938262,13796766,9460707,6203117,3882585,2324931,1347803,1347801,2324925,3882573,6203103,6569272,4115277,4115278,6569276,9935315,6529884,4091530,2447956,2447955,4091525,6529879,9935305,9756509,6415140,4024694,4024695,6415077,6415078,9125354,6415093,6415092,6415262,7032129,7032131,10650120,15408003,15448207,255835961,269314665,20803605,254995621,10251628,14909400,20803607,27966076,32981299,256266104,257380444,80437156,80437154,87480456,80437160,80437159,67003557,54737709,54736408,43986106,34705886,34705884,43986097,39588200,30955569,30955573,39588215,34741700,34741703,44051311,54840854,55056893,44226085,34872171,34872175,35704509,35704768,27489041,27489042,34769754,34769756,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007 Dl.O(d2) = 16574427,11555500,255937593,34990044,33611934,25812864,25812865,19276640,14000766,9619112,254658224,2372395,2372396,2388368,2388365,1383779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14194343, s2 = 9661428, dlinesl.size( ) = 12 s1 = 14481691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14481691, s2 = 13057461, int(edited[s2]) = 0 s1 = 14481691, s2 = 13057461, d1 = 55, d2 = 7 Dl.O(d1) = 255754503,4111990,254474589,9986538,255337653,27130428,35224145,44604992,48976717,48976718,55133332,44290783,34923021,34923022,34894763,34882865,26824578,19958568,19958572,19955562,14289437,14289441,9830798,6457982,4047982,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,26505367,34433220,43618235,43733489,43733561,34501822,34501824,43733647,54428381,66467284,75538217,89294760,89428787,100280608,86318456 Dl.O(d2) = 42325793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14481691, s2 = 13057461, dlinesl.size( ) = 2 s1 = 14481691, s2 = 13057461, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14481691, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 6447678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6447678, s2 = 3722396, int(edited[s2]) = 0 s1 = 6447678, s2 = 3722396, d1 = 49, d2 = 16 Dl.O(d1) = 254552796,4089682,6527260,9931775,14438114,11679519 Dl.O(d2) = 128877005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6447678, s2 = 3722396, dlinesl.size( ) = 2 s1 = 6447678, s2 = 3722396, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6447678, Dl.E( ) = 50, 3.1e-05 seconds used appending s1 = 176502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 176502, s2 = 14060260, int(edited[s2]) = 0 s1 = 176502, s2 = 14060260, d1 = 0, d2 = 4 Dl.O(d1) = 4133153 Dl.O(d2) = 255980658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 176502, s2 = 14060260, dlinesl.size( ) = 2 s1 = 176502, s2 = 14060260, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 176502, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 8008598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8008598, s2 = 4899553, int(edited[s2]) = 0 s1 = 8008598, s2 = 4899553, d1 = 57, d2 = 4 Dl.O(d1) = 256476822,15038623,10395423,10395424,7669508,7669507,11529064,16542090,11666245,10306402,6778038,5954204,5954195,4227678,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774968,4308908,2576525,2576524,4308903,6865633,10415264,10415232,10415231,14971295,10328914,6797341,4262268,2548221,1467947,830452,468457,263452,263453,468459,830456,1467958,2548247 Dl.O(d2) = 201707924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8008598, s2 = 4899553, dlinesl.size( ) = 32 s1 = 13181093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7850400, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15088397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15088397, s2 = 13250874, int(edited[s2]) = 0 s1 = 15088397, s2 = 13250874, d1 = 19, d2 = 14 Dl.O(d1) = 9989820,6565671,4113141,4113142,6565651,6565667,4113140,2461010,1422614,809330,809329,1422612,2461005,4114368,6567791,9993309,14523585,15163998,15164000,15164128,21110086,28320438,36816510,33217744,27150750,20240175,15166627,10459669,6894572,4327890,2589116,1492523,845156,845155,1492521,2589112,4327424,2588852,1492391,845095,845094,845157,477001,268377,148706,81777,81778,148708,268379,477004,845163 Dl.O(d2) = 4328784,6892982,10457205,15163381,254494074,12427220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15088397, s2 = 13250874, dlinesl.size( ) = 2 s1 = 15088397, s2 = 13250874, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15088397, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 14870333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14870333, s2 = 13212894, int(edited[s2]) = 0 s1 = 14870333, s2 = 13212894, d1 = 0, d2 = 0 Dl.O(d1) = 263083598,194207610,185991909,176568581,165920926,272570001,86243673,72641305,59899777,48506047,256968147,255926951,16455573,11465460,7626232,4824992,2907558,2907559,4824993,254788953,16455575,22646195,30018504,38591086,48506048,59899779,72641306,86243675,100211775,114246220,272534374,61534012,50054871,40035043,256522575,23861529,17517757,254850827,5386832,254270549,624739,624740,1113268,1948743,1948741,1948740,3312497,5386831,8346014,12353078,17517755,23861528,31355168,257652231,74311279,259041486,86703373,73099906,257207604,256135276,36961720,28462104,28462105,21934254,255063713,7268947,7268946,10981789,15846556,21934249,29255303,23047632,21935646,15848106,10983207,7270009,4584684,4584683,7270006,10983204,15848101,21935641,254726830,7464385,4716986,4716984,7464048,11244719,8363919,7246813,5409142,5409140,5409201,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747263,11747260,12390752,12265514,12265515,8404946,5423569,5423570,8404948,12436078,12270005,12269923,8285710,8285712,12269933,17409898,17409911,12318091,8320374,5368938,5368934,8284678,8364856,8364857,12378893,15061231,10386111,6844730,4294839,4294835,6844718,8100192,8271711,5337486,5337484,8271700,8271844,12247146,12247149,12247203,17379798,23603841,17290921,17290922,23603823,28461706,23703358,23703357,28136840,20958797,20958799,17883191,12666889,10386154,10386150,11754034,12048429,17143564,17378852,17378851,23701174,23701016,23701015,23727735,23727737,31191786,31191788,23702232,23701094,23701093,31190936,23705497,17382592,17382593,23705500,28475769,21256378,15291939,10556895,6962773,4374515,4374514,5368871,3300662,3300660,5368859,8320235,12263759,12263760,17402124,17545188,17402177,17402176,23726057,23722266,23722265,255392404,31191892,31191891,36839041,36839068,36839067,46721924,255537762,21129965,21129964,28342261,23701967,255389866,12434139,12434137,17616070,268253191,12262942,12257853,12257852,17394131,255389006,21129800,21129799,23915261,18889741,254828558,33244791,28437864,21212697,15245231,10517231,6935852,4358371,2611335,2611336,2607098,2607097,4352904,6928637,6928515,6928516,6928610,267881215,2613538,1509145,1509147,2613543,1514765,858634,858633,1514764,2607388,4353337,254330419,2610039,4356823,6933861,6975098,6734966,4382254,2624617,267763801,484746,272680,272681,254119771,1514900,2624628,4382263,6975579,6975566,6975567,10525494,6941755,6941756,4598254,4219666,4219670,6734987,10250337,10279752,6756135,4233677,4233678,6756137,6734998,6734999,6932611,6932610,10513089,10523531,255022829,10508686,10508687,15233629,21198021,28420548,21206048,15239800,15239799,255204739,8615237,8615238,12683736,15231283,15231284,15094637,15094638,15313145,10576155,6976354,4382832,4382831,6894809,6981336,4386551,4386552,6933462,6932545,4355703,4355704,6932549,8606309,8606308,12672929,15322098,21223517,21205793,15239586,10512776,6932388,4355543,4355544,6932391,10512782,15239592,15314358,15314361,12683721,8615226,8615225,255204733,21226414,21226415,24285263,256498869,49746979,258859431,101578369,115618600,129503446,142820460,155402055,167042336,177548977,186837732,185019627,175479703,164725863,152894191,140203278,126855810,113002884,99014069,85088502,71515969,255154058,37489362,254576196,21667385,254179802,7148855,7148815,7148819,4501858,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536547,8538503,12586156,12827712,12827713,10789971,7128774,7128775,10789975,7659304,4846106,4846105,7659300,11514121,10264177,6744626,6744625,10264174,14926732,20824926,27222889,20294501,20294502,267878504,30108652,22727820,16522456,11514904,7659767,7659766,11514902,15587667,10783126,10783131,7585717,4798017,4798018,7585721,11414517,11512850,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14605813,10050275,10050276,10050313,11340064,11338776,11338777,7535862,4766947,2873533,1667727,948642,534818,534819,948648,1667613,1667610,2873306,4766444,7534897,11338514,16296346,17029720,254999960,26983483,20094496,20094498,20353399,14959910,254997258,254484308,7481638,7481641,11270612,15591627,11208124,7436840,4699245,2831203,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,3800460,3800463,5383491,8340671,12345550,17508171,23850744,31344154,40024039,50044114,61523882,255564620,268440682,115926526,129826428,128323759,114447102,114447101 Dl.O(d2) = 263083598,194207610,185991909,176568581,165920926,272570001,86243673,72641305,59899777,48506047,256968147,255926951,16455573,11465460,7626232,4824992,2907558,2907559,4824993,254788953,16455575,22646195,30018504,38591086,48506048,59899779,72641306,86243675,100211775,114246220,272534374,61534012,50054871,40035043,256522575,23861529,17517757,254850827,5386832,254270549,624739,624740,1113268,1948743,1948741,1948740,3312497,5386831,8346014,12353078,17517755,23861528,31355168,257652231,74311279,259041486,86703373,73099906,257207604,256135276,36961720,28462104,28462105,21934254,255063713,7268947,7268946,10981789,15846556,21934249,29255303,23047632,21935646,15848106,10983207,7270009,4584684,4584683,7270006,10983204,15848101,21935641,254726830,7464385,4716986,4716984,7464048,11244719,8363919,7246813,5409142,5409140,5409201,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747263,11747260,12390752,12265514,12265515,8404946,5423569,5423570,8404948,12436078,12270005,12269923,8285710,8285712,12269933,17409898,17409911,12318091,8320374,5368938,5368934,8284678,8364856,8364857,12378893,15061231,10386111,6844730,4294839,4294835,6844718,8100192,8271711,5337486,5337484,8271700,8271844,12247146,12247149,12247203,17379798,23603841,17290921,17290922,23603823,28461706,23703358,23703357,28136840,20958797,20958799,17883191,12666889,10386154,10386150,11754034,12048429,17143564,17378852,17378851,23701174,23701016,23701015,23727735,23727737,31191786,31191788,23702232,23701094,23701093,31190936,23705497,17382592,17382593,23705500,28475769,21256378,15291939,10556895,6962773,4374515,4374514,5368871,3300662,3300660,5368859,8320235,12263759,12263760,17402124,17545188,17402177,17402176,23726057,23722266,23722265,255392404,31191892,31191891,36839041,36839068,36839067,46721924,255537762,21129965,21129964,28342261,23701967,255389866,12434139,12434137,17616070,268253191,12262942,12257853,12257852,17394131,255389006,21129800,21129799,23915261,18889741,254828558,33244791,28437864,21212697,15245231,10517231,6935852,4358371,2611335,2611336,2607098,2607097,4352904,6928637,6928515,6928516,6928610,267881215,2613538,1509145,1509147,2613543,1514765,858634,858633,1514764,2607388,4353337,254330419,2610039,4356823,6933861,6975098,6734966,4382254,2624617,267763801,484746,272680,272681,254119771,1514900,2624628,4382263,6975579,6975566,6975567,10525494,6941755,6941756,4598254,4219666,4219670,6734987,10250337,10279752,6756135,4233677,4233678,6756137,6734998,6734999,6932611,6932610,10513089,10523531,255022829,10508686,10508687,15233629,21198021,28420548,21206048,15239800,15239799,255204739,8615237,8615238,12683736,15231283,15231284,15094637,15094638,15313145,10576155,6976354,4382832,4382831,6894809,6981336,4386551,4386552,6933462,6932545,4355703,4355704,6932549,8606309,8606308,12672929,15322098,21223517,21205793,15239586,10512776,6932388,4355543,4355544,6932391,10512782,15239592,15314358,15314361,12683721,8615226,8615225,255204733,21226414,21226415,24285263,256498869,49746979,258859431,101578369,115618600,129503446,142820460,155402055,167042336,177548977,186837732,185019627,175479703,164725863,152894191,140203278,126855810,113002884,99014069,85088502,71515969,255154058,37489362,254576196,21667385,254179802,7148855,7148815,7148819,4501858,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536547,8538503,12586156,12827712,12827713,10789971,7128774,7128775,10789975,7659304,4846106,4846105,7659300,11514121,10264177,6744626,6744625,10264174,14926732,20824926,27222889,20294501,20294502,267878504,30108652,22727820,16522456,11514904,7659767,7659766,11514902,15587667,10783126,10783131,7585717,4798017,4798018,7585721,11414517,11512850,11517502,11517501,10292269,10292268,13346960,13346962,18747248,20340260,14598237,14598236,14605813,10050275,10050276,10050313,11340064,11338776,11338777,7535862,4766947,2873533,1667727,948642,534818,534819,948648,1667613,1667610,2873306,4766444,7534897,11338514,16296346,17029720,254999960,26983483,20094496,20094498,20353399,14959910,254997258,254484308,7481638,7481641,11270612,15591627,11208124,7436840,4699245,2831203,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,3800460,3800463,5383491,8340671,12345550,17508171,23850744,31344154,40024039,50044114,61523882,255564620,268440682,115926526,129826428,128323759,114447102,114447101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14870333, s2 = 13212894, dlinesl.size( ) = 2 s1 = 14870333, s2 = 13212894, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14870333, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 6443957, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 119301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8015232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 120272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6475289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6538162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6538162, s2 = 6421996, int(edited[s2]) = 0 s1 = 6538162, s2 = 6421996, d1 = 30, d2 = 22 Dl.O(d1) = 255716620,4507124,2708388,2708384,2708589,2708586,2263120,2263124,2263120 Dl.O(d2) = 254143092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6538162, s2 = 6421996, dlinesl.size( ) = 2 s1 = 6538162, s2 = 6421996, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6538162, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 7576197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7576197, s2 = 1701280, int(edited[s2]) = 0 s1 = 7576197, s2 = 1701280, d1 = 16, d2 = 6 Dl.O(d1) = 268318950,9601262,9601263,10830275,254309644,4508950,7159076 Dl.O(d2) = 43192412,257853095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7576197, s2 = 1701280, dlinesl.size( ) = 2 s1 = 7576197, s2 = 1701280, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7576197, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 29641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 29641, s2 = 2105132, int(edited[s2]) = 0 s1 = 29641, s2 = 2105132, d1 = 24, d2 = 7 Dl.O(d1) = 512111,512112,908109,1597444,2755638 Dl.O(d2) = 57637411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 29641, s2 = 2105132, dlinesl.size( ) = 2 s1 = 29641, s2 = 2105132, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 29641, Dl.E( ) = 48, 2.1e-05 seconds used appending s1 = 125031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8081330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8081330, s2 = 14290159, int(edited[s2]) = 0 s1 = 8081330, s2 = 14290159, d1 = 99, d2 = 101 Dl.O(d1) = 29498505,256440670,4666544,4666545,4878896,2939775,2939774,4878895,7709175,11582163,16606750,22827853,255498372,11585815,16611062,255116030,12339603,12339604,16038058,16606730,11582145,11582146,16606733,16607504,11582810,7709632,7709631,255498061,11984632,11984633,17072778,23338922,30761756,39362945,47318999,58707880,49197843,39271587,39271586,49197841,255498150,73343655,86955251,100939021,114993289,258174576,125557273,269298420,83966262,70439146,57744101,255007306 Dl.O(d2) = 38868324,48790422,258180223,86524336,86524335,87181986,73564218,60817844,49417938,39488309,255987269,17174335,255539143,30882320,39488308,49417937,257643725,74207276,259499049,260114215,129727779,261827005,167238514,177734945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8081330, s2 = 14290159, dlinesl.size( ) = 2 s1 = 8081330, s2 = 14290159, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8081330, Dl.E( ) = 102, 3.98e-05 seconds used appending s1 = 7827191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7827191, s2 = 14299299, int(edited[s2]) = 0 s1 = 7827191, s2 = 14299299, d1 = 59, d2 = 57 Dl.O(d1) = 2816404,2816403,4674934,7400204,11156935,16067780,256388535,48013688,258743869 Dl.O(d2) = 132980962,119145955,271487888,76890570,258340772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7827191, s2 = 14299299, dlinesl.size( ) = 12 s1 = 6475712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14932945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14932945, s2 = 9107019, int(edited[s2]) = 0 s1 = 14932945, s2 = 9107019, d1 = 27, d2 = 37 Dl.O(d1) = 29099384,21801608,15741345,10901931 Dl.O(d2) = 4812837,2900498,1682786,956927,956926,254241605,4812835,254786703,8729722,8729723,12837596,18104947,24538391,32115729,32867520,25160352,254888986,13221206,254288298,2199124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14932945, s2 = 9107019, dlinesl.size( ) = 22 s1 = 202682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 202682, s2 = 7394204, int(edited[s2]) = 0 s1 = 202682, s2 = 7394204, d1 = 11, d2 = 64 Dl.O(d1) = 4821022 Dl.O(d2) = 266199346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 202682, s2 = 7394204, dlinesl.size( ) = 2 s1 = 202682, s2 = 7394204, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 202682, Dl.E( ) = 122, 3.7e-05 seconds used appending s1 = 10143264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10142112, s2 = 13554501, int(edited[s2]) = 0 s1 = 10142112, s2 = 13554501, d1 = 37, d2 = 44 Dl.O(d1) = 255146158,6827582,4283391,4283392,6827596,10019654,6585562,4126081,4126078,6585555,9714744,6391042,6391044,9714753,10263597,6744299,6744297,10263592,10782547,7124497,4485691,2695090,2695089,4485686,7124486,10782531,10782462,7124446,7124451,10782473,7259745,7259746,10255532,6738873,6738872,10255530,14914892,20810682,19899185,14254947,9797958,9797956,14254934,10384073,10384070,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190246,7535690,7535689,11339789,15600106,11515998,11516000,10520118,6937839,6937835 Dl.O(d2) = 89939529,76133627,76133628,81092965,67627369,67627370,76133630,89939299,89939408,76133515,76133513,89939306,104068612,89939321,76133436,76133438,89939325,104068588,104068587,111806275,118227711,116401878,102309974,102309973,111893208,104068621,104068622,111893226,111893224,99849342,99849343,99849345,85894501,269813503,48267921,48267923,48267917,38357103,38357101,256039251,17795511,17795512,24163216,31672915,40367612,50403024,47214239,37307935,36619865,36619866,39810915,49834018,61316912,67633848,67633847,70544465,70544466,57842504,46486328,256408391,29784628,25708011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10142112, s2 = 13554501, dlinesl.size( ) = 8 s1 = 8024404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8024404, s2 = 16026104, int(edited[s2]) = 0 s1 = 8024404, s2 = 16026104, d1 = 92, d2 = 87 Dl.O(d1) = 22857834,16631882,11601541,7722987,254365715,971084,546907,306289,169497,93309,93308,169495,306286,546897,971066,1708373,2945748,4888349,7722883,11601418 Dl.O(d2) = 4742422,4742420,7502468,8384494,12405860,12407713,8385784,7903483,7903484,8366711,5406287,3324573,3324569,3322076,1954003,1954001,1116704,1116705,1954780,3323539,4425372,7034050,10652639,15411363,13356847,13356846,18757906,17570005,12398160,8378721,6055798,3789396,2270198,2270200,3789400,6055806,9246421,7268467,4583794,4583795,254446244,15845592,21460518,21460517,23899561,23921386,18825354,17393339,12257232,8277943,5341011,3282822,1930718,1103038,1103039,1930721,3282829,5341031,5340892,3282769,1930697,1930695,3282761,5340868,8277663,9245460,12261852,12261854,17399438,17572165,12410572,12410571,17582895,13533215,12400074,12400073,17401570,254724826,255023334,23700994,17378702,17378701,23700992,31190853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024404, s2 = 16026104, dlinesl.size( ) = 2 s1 = 8024404, s2 = 16026104, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8024404, Dl.E( ) = 96, 3.1e-05 seconds used appending s1 = 15996481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15996481, s2 = 9761574, int(edited[s2]) = 0 s1 = 15996481, s2 = 9761574, d1 = 34, d2 = 20 Dl.O(d1) = 162541793,258627054,133651311,119781466,105548338,105548337,105548341,91330665,77412077,77412075,257392176,257392178,43013189,33956367,33956366,39846528,39846527,49165982,44575200,36863764,28365463,21149314,21149313,28365461,23675105,21151963,15197286,15197285,21151960,28368707,29478444,23802484,23802487,28369903,21153002,21153007,21153768,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340520,6911211,10482664,15198320,21153454,28366083,255382857,15195968,21149803,28366089,23217776,21153293,21153292,28370210,36867259,255970257,16948704,11861973,255138467,11860029,7926490,7926487,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945161,11863199,8254864,8254865,12226405,17355657,23675463,31163917,39239048,30645034,23222585,16949476,16949475,23222583,21224283,15254409,15254408,21224281,23217949,268104297,8117871,5200686,5200687,255172247,8318926,8318925,12315861,268291174,34258463,26380837,26380836,255247296,30643964,30643965,37652105,29103143,21805001,255055775,10904033,10904034,15744177,13660878,9354794,6127498,3833711,2296895,2296899,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,6126824,6097886,6097887,6291841,9426746,6176835,6176837,7141008,7141010,10807032,15619522,19132868,19132878,13661526,9355300,6127867,3833915,3833914,6127863,9355294,13661520,19132866,25772985,26118386,33955534,43012399,44721561,50524409,40488789,31793745,31793743,33506898,28894317,21618415 Dl.O(d2) = 209680262,272259400,190201545,190201544,187470236,178255695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15996481, s2 = 9761574, dlinesl.size( ) = 2 s1 = 15996481, s2 = 9761574, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15996481, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 7945470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7945470, s2 = 13676305, int(edited[s2]) = 0 s1 = 7945470, s2 = 13676305, d1 = 76, d2 = 83 Dl.O(d1) = 254411980,1999854,1143068,1143069,254189326,5504522,7893222,7893223,11815110,8506451,5506898,3395605,2001558,2001557,2943776,2943777,3438230,2034074,2034075,2011465,1985821,1134514,636604,636601,1134510,1134495,1134494,1985779,2011371,2011373,2809221,1629680,1629681,2809223,3032466,1764603,1005338,566530,566529,254173831,1005364,567411,267740209,175671,254174029 Dl.O(d2) = 16889826,268240983,16889806,23150517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7869547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7869547, s2 = 14371759, int(edited[s2]) = 0 s1 = 7869547, s2 = 14371759, d1 = 163, d2 = 183 Dl.O(d1) = 3128079,1828644,1043702,587550,328029,180898,99371,99372,180908,328053,587598,588001,588005,1044618,1830289,3112373,1818762,1818763,1838771,3143764,3156538,3156540,3107883,3107880,5116696,5117531,5100982,3096274,3096276,3103089,3098363,3098359 Dl.O(d2) = 255960619,257529362,44410918,35036387,35036386,44410917,55258494,65837802,53777696,49316237,47965811,38052545,29488771,28110731,28110730 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10153212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10153212, s2 = 218793, int(edited[s2]) = 0 s1 = 10153212, s2 = 218793, d1 = 0, d2 = 0 Dl.O(d1) = 6311400,3955667,2368825,1371263,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478633,12515175,14582162,12516422,8479413,8479414,12516424,17696448,24049869,20320751,14583203,10034584,6594589,4131437,2471365,2471364,4131434,254697555,14583174,11721998,11722001,15603058,21634676,23594351,17339694,12216626,12161022,12161021,11041394,7315771,5394450,3317128,3317127,5353892,8299130,12118761,8149970,5221464,5221465,4619828,2781791,1613617,917866,517748,290446,290447,517751,917867,1613621,1063450,597773,597771,1063448,1864029,3185212,3185095,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618594,2781405,2781404,4619202,7317196,11042688,7826781,7826782,10838070,7164499,4512371,2711437,2711438,4512374,7164507,7320273,11045239,12210323,8241221,8241220,12157225,254580767,3213392,1882357,1882359,3213397,5257401,8187850,5264001,3219076,3219077,5264003,3256281,1912845,1092391,1092390,1912843,3256275,5305928,8233851,12202309,17327247,23643767,31131226,39813482,39813480,39813479,49836809,61319870,74102808,268644410,256423252,122932487,136763438,149904022,162115569,173215124,183065540,191674130,199076964,191674132,260022604,162115570,149904023,136763440,122932489,108668285,255925310,54640906,54640907,66898367,80326038,94381196,100036851,86073620,72475515,59740368,48356893,38455185,29898310,22542839,16367427,16367426,22542836,29898309,38455183,48356892,59740367,72475514,86073618,98965552,85040474 Dl.O(d2) = 6311400,3955667,2368825,1371263,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478633,12515175,14582162,12516422,8479413,8479414,12516424,17696448,24049869,20320751,14583203,10034584,6594589,4131437,2471365,2471364,4131434,254697555,14583174,11721998,11722001,15603058,21634676,23594351,17339694,12216626,12161022,12161021,11041394,7315771,5394450,3317128,3317127,5353892,8299130,12118761,8149970,5221464,5221465,4619828,2781791,1613617,917866,517748,290446,290447,517751,917867,1613621,1063450,597773,597771,1063448,1864029,3185212,3185095,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618594,2781405,2781404,4619202,7317196,11042688,7826781,7826782,10838070,7164499,4512371,2711437,2711438,4512374,7164507,7320273,11045239,12210323,8241221,8241220,12157225,254580767,3213392,1882357,1882359,3213397,5257401,8187850,5264001,3219076,3219077,5264003,3256281,1912845,1092391,1092390,1912843,3256275,5305928,8233851,12202309,17327247,23643767,31131226,39813482,39813480,39813479,49836809,61319870,74102808,268644410,256423252,122932487,136763438,149904022,162115569,173215124,183065540,191674130,199076964,191674132,260022604,162115570,149904023,136763440,122932489,108668285,255925310,54640906,54640907,66898367,80326038,94381196,100036851,86073620,72475515,59740368,48356893,38455185,29898310,22542839,16367427,16367426,22542836,29898309,38455183,48356892,59740367,72475514,86073618,98965552,85040474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10153212, s2 = 218793, dlinesl.size( ) = 2 s1 = 10153212, s2 = 218793, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10153212, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 223117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 296106, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 148939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6424832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13315203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10991504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991504, s2 = 1551604, int(edited[s2]) = 0 s1 = 10991504, s2 = 1551604, d1 = 42, d2 = 19 Dl.O(d1) = 8646159,5623451 Dl.O(d2) = 39297699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991504, s2 = 1551604, dlinesl.size( ) = 2 s1 = 10991504, s2 = 1551604, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10991504, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 230484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 514397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 514397, s2 = 151042, int(edited[s2]) = 0 s1 = 514397, s2 = 151042, d1 = 1, d2 = 2 Dl.O(d1) = 13123109,8944494,5838756,3643876,3643877,5838760,8944506,13123140,12884137,12364325,12364326,8718618,5675082,5675079,6537003,5675002 Dl.O(d2) = 3529697,3529703,5674933,8718296,12809125,8709357,8709358,12808724,12808722,8712491,5838074,3643533,2178139,1262296,1262295,267808489,5838059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 514397, s2 = 151042, dlinesl.size( ) = 2 s1 = 514397, s2 = 151042, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 514397, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 6451776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6451776, s2 = 7814332, int(edited[s2]) = 0 s1 = 6451776, s2 = 7814332, d1 = 22, d2 = 30 Dl.O(d1) = 254625839 Dl.O(d2) = 3562992,254200886,12917259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6451776, s2 = 7814332, dlinesl.size( ) = 2 s1 = 6451776, s2 = 7814332, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6451776, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 14575156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 152492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16027065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 155097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 155097, s2 = 106452, int(edited[s2]) = 0 s1 = 155097, s2 = 106452, d1 = 23, d2 = 0 Dl.O(d1) = 3630780,5820127,7850162,4983006 Dl.O(d2) = 2324103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 155097, s2 = 106452, dlinesl.size( ) = 2 s1 = 155097, s2 = 106452, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 155097, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 7814333, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 978649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 978649, s2 = 11336006, int(edited[s2]) = 0 s1 = 978649, s2 = 11336006, d1 = 17, d2 = 7 Dl.O(d1) = 24761289,255129652,8834233,8834232,12977957,13208397,9003945,5877862,5877854,3669678,3669680,5877854,3669678,3669680,5877854 Dl.O(d2) = 119514891,259440222,146620055,158984814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 978649, s2 = 11336006, dlinesl.size( ) = 20 s1 = 10990100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 358651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 241060, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 363297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 363297, s2 = 694942, int(edited[s2]) = 0 s1 = 363297, s2 = 694942, d1 = 19, d2 = 71 Dl.O(d1) = 9138202,5979981 Dl.O(d2) = 49986730,39970813,37894564,37894565,47816568,58940374,48826020,48826019,59215226,47816798,47816799,37982402,29419536,22089084,22089081,29419518,37982375,256012892,60229658,48835011,38914219,38914220,48835013,268652744,30327381,38914233,48835030,60229667,256517660,41112493,32301405,255620675,18222293,256077537,41112496,49986910,49986909,58532919,58532916,71264719,71953573,59214737,59214689,47816098,47816099,37894443,29326167,29326166,37894438,47816428,51292954,41112464,32301390,24690051,18222289,12924892,8792464,5727129,5727130,8792466,256077539,41112516,51293023,59348135,71953662,85541915,72960222,72081496,72081495,72442787,65383045,64397625,64397623,72963300,73442049,60693772,49292286,49292285,60693768,73442044,64397805,61676699,50193306,50193307,61676705,74063506,73442184,60693929,60693928,73442178,64397666,52523801,42165389,42165390,52523808,42700468,42700469,49807265,49807266,61285070,49807289,49807290,61283994,72968712,60231464,60231463,72968709,86559864,86559865,74063630,61284654,61284655,258241856,73441825,60693446,60693445,73441823,256993652,60694003,258213905,259461057,74063901,61285095,258241861,61284727,61284728,74063676,70823099,60693447,49291966,49291967,60693451,73441827,257574298,73442058,64397649,61284800,49806942,39787828,31108380,31108381,39787838,39788359,39788357,49807484,58107363,58107364,58107383,58107380,255999104,257050192,49806667,49806668,46736648,39365172,39365173,49292527,60694021,257632770,49292523,39365170,39365171,49292475,39365138,30763584,30763585,39365139,49292476,255549026,39365115,49292449,49752585,49292473,49292471,49805812,61283970,60694218,49806853,49806854,61284725,74063673,87059853,86194476,73442380,257632772,74012391,73441876,73441875,257632718,115130536,107091399,92751052,87667142,87667060,74063664,72642287,60629398,49228251,49228249,60225770,48829706,48829705,59901023,59901025,59901019,48507482,40480382,31785919,24273004,17893291,17893290,24272998,31055844,31055843,39733933,49752607,50515477,50515478,50515457,50515449,40480328,31785878,31785876,40480324,50515439,49752411,49752414,49806896,39787794,39787796,39483399,30877881,23447406,17171783,17171782,23447401,30877873,39483378,39483406,39483407,41282777,51497109,59900936,59900942,59900944,48507435,38592581,38592575,38592576,48507420,58107437,61232006,61232004,61516675,50515458,40480333,40480334,50515461,62007113,257651186,49752454,257628347,74012366,61232000,57752486,50515543,40480403,40480405,49752432,61231612,61231662,49752520,49752522,61231666,61231795,58106845,46736059,39733969,39733971,49752647,61231752,61231567,49752384,39734259,31056107,31056105,31056115,31055733,23572265,17261016,17261017,23572270,31055740,28356835,28356836,36853936,28356202,28356203,36853941,46735943,36853797,36853796,46735938,38592523,38592524,48507369,39733991,31055900,23572390,23572391,31055930,31339257,31339258,40018395,50037807,58106662,46736075,39733981,39733980,33351696,28356182,21141681,21141680,28356181,36853908,31785965,24273038,24273039,31785968,40480430,255810998,21141641,15190178,15190181,21141634,21141683,21141572,21141574,28356007,36853631,36854911,40069822,36853870,28356156,21141666,21141668,28356162,36540307,46401390,57752349,46736840,36854697,36854651,28356824,28356823,36854646,40480470,31785993,24273055,17893320,17893322,24273060,31786004,40480483,255017968,36540361,28072958,20901192,20901193,28072961,36450232,36853604,28355983,21141563,21141564,17144481,12049020,12049024,17144490,23421295,28356658,28356657,28357765,28357766,28357783,21143018,15191081,15191082,18108984,24543295,25356536,25356535,28358178,21143351,21143349,28355928,21141534,21141533,28355923,36853509,46735584,46737252,36855232,36853655,28356018,28356017,36853651,46735686,46735687,40895435,38882449,38882450,46735896,46303195,36450226,27991647,20827256,20827257,27991651,24543252,18108953,12840878,12840877,18108949,24543246,32121231,40895323,39455699,30851789,30851790,32121256,24543259,24543258,32121254,36853641,36853642,46735750,46735756,48373456,255018038,36540449,36540448,255810974,255810976,256838870,74012446,71882414,71882415,71882428,59144396,47745805,37823808,29258772,21937932,21937931,23572429,17261114,12140856,12140857,17261116,23572433,31056001,36639956,36639957,37823816,29258775,28073031,21937898,21937900,29258716,37823743,47745730,39109730,36525195,36525193,31055951,23572403,17261102,17261103,23572408,31055961,36540519,28073069,20901249,20901250,28073073,36540528,46401199,36626054,36626055,46492510,47858321,49752902,49752901,57734211,46384250,36524663,36524664,40475640,50510778,46384331,36524863,36524864,46384574,46384570,36524854,28059333,20889272,20889268,20889265,20889390,20889392,28059269,36524636,46384294,36524932,28059386,28059385,36524926,36524964,28059407,20889315,20889317,28059414,36524685,46384359,46384365,39301403,30703831,23287914,23287913,30703825,39301397,46384370,46384369,40328844,40328843,50356050,256046812,53852090,43327790,34229522,34229525,34229551,39845024,41934523,32993776,25269640,18697770,18697769,25269635,32993763,32993827,39301345,30703791,23287897,23287894,30703782,24070297,17714152,17714151,255532780,23275728,17017058,11932943,11932944,17017059,23275729,30690600,39287794,255582810,17745396,12556031,12556032,17745399,24103903,31606396,254277354,30037852,22662273,22662272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 363297, s2 = 694942, dlinesl.size( ) = 2 s1 = 363297, s2 = 694942, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 363297, Dl.E( ) = 72, 5.6e-05 seconds used appending s1 = 13195105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13195105, s2 = 16327087, int(edited[s2]) = 0 s1 = 13195105, s2 = 16327087, d1 = 58, d2 = 60 Dl.O(d1) = 254996072,254334157,1536046,254225355,4425388,6248215,6248219,3989924,3989927,5860107,8976330,5990444,3745779,2242107,2242104,3745774,5990431,9153360 Dl.O(d2) = 224335002,226442295,265234358,224243537,221802822,218957494,215586058,211506807,211506806,206514632,206514633,200474462,193322030,184988115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13195105, s2 = 16327087, dlinesl.size( ) = 38 s1 = 7989544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10148292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10148292, s2 = 15372818, int(edited[s2]) = 0 s1 = 10148292, s2 = 15372818, d1 = 20, d2 = 22 Dl.O(d1) = 74355149,61578352,50098397,40077665 Dl.O(d2) = 10341513,6808170,4270057,4270058,2566293,1477680,1477682,2566299,4292368,6840884,9101415,9101414,8593923,8593921,9100520,9100517,10986602,9547192,6263967,3921563,3921564,5954380,5954379,9056716,13271875,254651946,8128102,12086865,17189471,21585057,15560420,10762858,10362624,6826091,6826089,10362617,10392034,10392033,10362790,6826237,6826238,9071798,6817930,6817931,10353423,15025557,15038927,13292788,13292787,18685847,256626095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10148292, s2 = 15372818, dlinesl.size( ) = 2 s1 = 10148292, s2 = 15372818, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10148292, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 249491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 249491, s2 = 6089402, int(edited[s2]) = 0 s1 = 249491, s2 = 6089402, d1 = 140, d2 = 94 Dl.O(d1) = 6091671,6091672,9299193,9299494,6091843,3811540,3811542,6091852,9299475,6092132 Dl.O(d2) = 241414107 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1033819, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 164007, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7914588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7914588, s2 = 6426115, int(edited[s2]) = 0 s1 = 7914588, s2 = 6426115, d1 = 11, d2 = 6 Dl.O(d1) = 33416712,25648887,19030761,13583943,9301208,6092859,3825960,3825962,3829243 Dl.O(d2) = 254208024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7914588, s2 = 6426115, dlinesl.size( ) = 12 s1 = 251998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 251998, s2 = 8868458, int(edited[s2]) = 0 s1 = 251998, s2 = 8868458, d1 = 5, d2 = 137 Dl.O(d1) = 6137814 Dl.O(d2) = 232537848,232537849,232537851,231247808,229809631,228190022,226345992,224229370,265107746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 251998, s2 = 8868458, dlinesl.size( ) = 2 s1 = 251998, s2 = 8868458, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 251998, Dl.E( ) = 138, 5.7e-05 seconds used appending s1 = 252239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14846861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13258933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8422608, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6422511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7998660, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8098902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9342822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9342822, s2 = 7005444, int(edited[s2]) = 0 s1 = 9342822, s2 = 7005444, d1 = 34, d2 = 24 Dl.O(d1) = 42848799,256165215,268309769,13815596,9474678,6212416,254456327,3888791 Dl.O(d2) = 261237849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9342822, s2 = 7005444, dlinesl.size( ) = 18 s1 = 6455140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6455140, s2 = 14331705, int(edited[s2]) = 0 s1 = 6455140, s2 = 14331705, d1 = 90, d2 = 81 Dl.O(d1) = 254667653 Dl.O(d2) = 139574329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6455140, s2 = 14331705, dlinesl.size( ) = 104 s1 = 255083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 255083, s2 = 9631545, int(edited[s2]) = 0 s1 = 255083, s2 = 9631545, d1 = 0, d2 = 92 Dl.O(d1) = 6218110 Dl.O(d2) = 104470409,90322721,76493728,63446581,51697039,41447391,32581200,24924418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 255083, s2 = 9631545, dlinesl.size( ) = 2 s1 = 255083, s2 = 9631545, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 255083, Dl.E( ) = 106, 3.1e-05 seconds used appending s1 = 14528590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7910116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7910116, s2 = 14088217, int(edited[s2]) = 0 s1 = 7910116, s2 = 14088217, d1 = 20, d2 = 24 Dl.O(d1) = 256097570,13892726,9532767,6253551,3914799,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563 Dl.O(d2) = 258708598,31658963,31434393,23943392,23943391,26960636,20076911,14394530,14394529,20076910,16771118,16771117,21071309,21071311,21043724,21043723,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394562,20076972,15136018,15136019,21071682,25291918,18718254,18718256,23010851,21877727,15802169,15014967,15014966,12872808,12872810,12872787,12872784,18153309,24600883,32188399,36756919,28261777,21059927,15127354,15127353,15126413,10433196,6878216,6878212,255014547,21058405,256294053,36754570,28259511,28259510,36754568,36754828,36754827,43918222,54660547,44763146,44763147,268459938,30414508,33592965,25796938,25796939,33592968,40790621,32033634,32033635,28260619,28260620,25673663,21059085,21058977,21058976,25673519,25673520,24509851,24509852,32083790,40855615,46625221,36737198,28242122,28242121,36737197,46625161,36752364,36752363,46638684,48927532,39003531,30414327,23009583,23009582,255909844,28428531,255609506,29167694,21858492,15786322,15786321,21858487,29167688,36757168,28262026,21060131,21060132,26615286,22398467,16237568,11288768,10691250,10691253,15462247,21462808,22396124,29756736,38326216,48235895,58651916,48238504,38328450,29758528,29758529,38328452,39192628,42249964,33270571,33270570,42249963,51302806,41120036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7910116, s2 = 14088217, dlinesl.size( ) = 2 s1 = 7910116, s2 = 14088217, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7910116, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 379614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 379614, s2 = 5395294, int(edited[s2]) = 0 s1 = 379614, s2 = 5395294, d1 = 57, d2 = 95 Dl.O(d1) = 9544303,6262063 Dl.O(d2) = 223169944,223169946,223169928,223169929,223169918,265088683,264623251,203824866,203824867,209301562,209301567,203824869,203824868,209301558,209301559,264867541,217480422,213794045,264867543,220555068,223169953,225429968,265787411,225429966,223169944,223169946,220555069,217480423,217480425,265288919,220555051,220555052,265787413,225429969,223169951,223169952,265636417,227394659,227394658,265471147,265088683,264623251,203824866,203824867,209301562,209301567,203824869,197264778,197264779,203824872,209301571,213794040,217480415,220555060,220555071,217480424,217480425,265288919,220555051,217480410,264623255,203824870,203824872,209301571,213794040,217480415,220555061,265088689,213794047,209301575,203824874,197264781,263337157,262461381,146828806,133570333,119695726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 379614, s2 = 5395294, dlinesl.size( ) = 2 s1 = 379614, s2 = 5395294, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 379614, Dl.E( ) = 98, 3e-05 seconds used appending s1 = 16267463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 257340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 257340, s2 = 11061805, int(edited[s2]) = 0 s1 = 257340, s2 = 11061805, d1 = 7, d2 = 124 Dl.O(d1) = 6279312 Dl.O(d2) = 18092361,12827247,12827246,18092360,24523578,22913087,22913086,26429549,19691850,255720283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 257340, s2 = 11061805, dlinesl.size( ) = 28 s1 = 549706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 259243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 259243, s2 = 13256975, int(edited[s2]) = 0 s1 = 259243, s2 = 13256975, d1 = 3, d2 = 11 Dl.O(d1) = 6351745 Dl.O(d2) = 441926,778973,1367775,254460147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 259243, s2 = 13256975, dlinesl.size( ) = 2 s1 = 259243, s2 = 13256975, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 259243, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 166130, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13543445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13543445, s2 = 13381545, int(edited[s2]) = 0 s1 = 13543445, s2 = 13381545, d1 = 2, d2 = 11 Dl.O(d1) = 47905411,43819154,43819121,43819123,54555644,56751501,54926146,54926144,56751415,54848537,44056033,44056034,54848542,67155896,74950559,271502059,76280391,63261121,63261123,72959875,74523773,72959880,60219796,60219797,65089549,65089547,78372710,90635339,76769265,63675603,51877536,41584566,41584567,50943532,50943534,62549817,258518771,271128391,43563795,34401391,34401390,43563794,257872593,66713999,54479558,54479559,66714005,67136829,80591855,72956230,60216683,48819943,38898000,30311781,30311779,38897996,257574025,72956236,86555616,100517547,107941746,99079002,85155395,85155394,94821669,80753448,67283569,54957947,54957946,55478724,268831259,27147592,35245137,44628923,55478721,67820628,81287282,95344115,257366708,269251402,76732806,63641467,51848830,41561984,32668940,32668941,41561987,51848835,257360208,80876437,80923164,80857765,67390417,67390418,256777998,55114322,268822631 Dl.O(d2) = 4047757,2423316,2423313,4045143,2422533,2422530,4045169,6452667,9821760,14297665,19969275,26464076,34356542,34356253,34356252,43484060,44126779,44126778,43490181,34359573,256713171,34359572,36567655,257396839,45358783,45358785,56433151,65495630,65495631,53934098,43407281,43407282,52320776,41980178,33036824,25309753,25309754,19415662,19415663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13543445, s2 = 13381545, dlinesl.size( ) = 2 s1 = 13543445, s2 = 13381545, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13543445, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 8021980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8021980, s2 = 266707, int(edited[s2]) = 0 s1 = 8021980, s2 = 266707, d1 = 8, d2 = 7 Dl.O(d1) = 269972092,58298196,46932077,37053694,28553417,25653608,19034618,18061164,18061166,22255902,16116916,11195245,7428212,4693857,4693860,7428234,11195205,9716227,9716225,14122775,14122772,10317174,10317176,9716191,6391905,6391906,9716197,14122759,19696618,19697024,19697023,26435667,27139744,20232294,14518328,9989982,254541926 Dl.O(d2) = 6565765,9989984,14518330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8021980, s2 = 266707, dlinesl.size( ) = 2 s1 = 8021980, s2 = 266707, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8021980, Dl.E( ) = 12, 2.41e-05 seconds used appending s1 = 14056391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056391, s2 = 6686922, int(edited[s2]) = 0 s1 = 14056391, s2 = 6686922, d1 = 15, d2 = 11 Dl.O(d1) = 46275298,36422649,36422650,42444196,52848347,64767949,53839867,43315960,34218263,34218264,36422678,46275327,42281864,34218255,34218254,43315955,53839863,63742070,51931851,51931852,63742057,76846863,76846861,63742056,51931831,51931830,63741987,51931754,41628668,41628669,257756675,269472156,63742062,51931836,41628737,32722489,32722487,32722496,32722494,41628745,51931844,41628748,32722498,25035668,25035669,32722500,256099905,18502202,255639175,13145194,13145195,18502209,25035676,32722481,32722526,25035694,18502228,13145208,13145207,18502227,25035691,25035661,25035662,32722486,41628731,51931826,257744272,51931800,51931799,257756693,51931857,63742034,63742064,63742001,51931775,51931776,51931769,51931768,51931773,51931774,63742000,51931819,41628723,32722479,25035655,25035656,32722480,41628725,41628714,41628715,51931807,41628710,32722470,25035648,25035647,32722468,41628708,51931805,51931828,63742024,51931790,41628693,41628692,51931788,63742020,51931815,41628716,41628717,41628700,41628698,51931796,57622362,55682071,44773325,44773324,55682069,63837031,63836971,257172813,41711303,52022029,41711378,36425286,36425287,46278000,41711398,32795010,25095580,25095579,272201370,18548545,13179256,8983616,8983617,268138293,25095582,32795013,41711402,32795156,32795155,257172821,32794979,25095556,18548552,18548551,25095587,32795019,32795001,25095571,18548541,18548543,256104029,32795154,255642667,18548686,25095563,255242895,8983611,8983610,13179246,18548533,25095558,25095584,25095583,18548682,13179352,8983694,5865018,3661628,2190822,2190824,3661550,3661551,5864914,8983536,5864972,3661593,3661594,254639031,3661621,2190815,1271644,726632,413263,413262,726629,1271641,254294871,5864982,5864981,8983643,13179301,18548604,25095594,25095480,25095479,268627728,25095599,25095596,18548558,13179265,8983621,8983620,13179263,18548553,25095590,25095644,25095643,32795022,32795021,41711410,50302360,45643627,35973938,35973937,41711424,41711425,40282084,31597739,24094010,255193519,12548811,17735922,24094007,31597736,32795076,25095654,18548615,254906593,8983651,13179311,18548622,25095670,27659964,20600103,14774656,14774655,20600100,27659961,32794837,25411581,25411582,25095454,25095453,32794869,41711224,41711226,41711238,52021994,52021990,52021989,52021993,41711236,32794839,25095425,25095426,27966707,256267837,257172803,41711223,32794826,256267645,20802158,14908241,10250696,6735315,6735314,10250693,14908237,20802148,255798602,31779350,31779349,40474018,41711212,41711213,269368791,36422819,27964426,20802100,20802099,27964423,36422814,36425249,27966721,20804249,20804248,27966717,20804245,14909938,10252104,10252103,14909935,20804240,27966708,23205240,23205241,30627915,39225856,49152589,49152621,49152620,50509346,40474017,40474016,46277972,46277973,269840806,14909926,14909925,11852380,11852379,268241933,16934795,16934794,16934817,16934818,23205267,30627954,39225857,39225887,30627939,23205256,23205257,30627941,39225890,49152619,39225883,39225882,49152617,60552154,60552109,257383127,36425239,36425238,46277955,57622343,70312732,256032506,38289199,254864436,17493017,17493018,23205251,16934807,11852382,11852383,255523165,256470255,49152611,256593197,32365601,41181411,51367423,49152650,49152651,257993572,60552134,49152598,49152597,60552129,73295394,72319675,59585091,59585090,60552184,49152660,41936089,32995226,25271042,18699104,13306123,255249947,25271044,32995231,30627927,30627925,39225868,49152601,258070914,68080768,70310421,57619957,57619958,60552119,60552120,60552128,49152596,39225863,30627920,30627919,27964466,20802134,20802135,27964468,36422855,46275504,49152599,52275006,64124187,70310414,57619944,257993499,52275026,52275027,46276149,44773434,35348306,256763349,53331391,53331390,57620600,64124182,57620767,256635772,28551438,28551437,37051220,46929175,58294918,52274982,41936041,41936040,49152593,49152594,60552124,57620769,46276359,36423685,36423684,27965193,256267681,20802713,14908700,14908701,20802714,20296768,14565217,10022503,6587163,4126915,2468702,1426912,811655,459929,459930,811659,1426922,2468716,4126841,4126842,6587029,6735356,4219972,4219976,6023364,9199868,10022420,6587109,6587108,10022416,6736400,4220771,2523600,1454295,823420,823422,1454297,254479757,10022327,10022328,6735330,4219953,2523033,1453928,823213,823214,1453930,254320759,2523758,2468674,1426901,811649,811650,1426896,2468668,4126845,4219509,2522759,1453767,1453766,2522757,4219504,4221232,4219977,4219978,4219493,4219494,6734776,6736984,6735313,4219941,254479629,4220775,2523601,2523602,254479755,267877303,2523757,2523756,4221008,6736687,6735306,254475877,2523538,2523537,4219930,4219931,4220700,254434474,2522621,1453687,823075,823076,1453691,1454443,823506,465080,465082,823515,1453912,1453905,823200,823199,1453903,2522999,3629047,2167469,2167468,3629043,5817640,4220991,4220990,6736714,6736715,254200120,6736289,4220692,4220691,4221118,4221119,6736863,6736366,6736367,6736371,6736372,10252089,10252020,10252019,6736888,4221140,4221139,6736884,10252758,10251959,6736279,4220687,4220688,6736283,10251967,10250635,6735243,4219878,4219877,6735239,10250629,14908177,10252742,6736869,6736868,9312621,6100337,3816926,3816923,254657851,6735250,6735249,10250643,13409036,9167563,9167560,13409031,18821878,256640475,33154934,26344617,26344618,27964304,36422687,34218283,26344620,26344619,34218281,34647201,43315961,36728293,28234358,28234357,36728291,46616007,57991876,70708630,84259800,89217817,75465008,75465006,75465022,62541797,50937729,50937730,53507954,59998657,59998656,56531400,45430374,45430373,51850926,63643641,76734869,70544551,57842569,46486389,46486388,57842566,70544548,84021103,74387985,61610621,50129926,40109403,40109405,50129935,61610629,74388004,63643713,51850990,41563914,32670569,24994380,24994378,32670560,41563903,51850978,63643633,257880164,51850957,51850956,63643680,62537409,50968198,50968199,56586309,69137591,82666255,89212758,75460065,70488233,57787421,57787422,57506553,256195838,27927847,27927846,34257228,27600437,27600433,20601945,20601943,20400749,14640801,10071306,6616095,4143373,4143371,4161914,6612085,6612083,4182539,2500980 Dl.O(d2) = 2500773,1442966,1442962,2498346,1441918,1441913,2498373,2481164,2481159,4149936,6628217,10092838,14674610,20450179,27429855,27657080,20598071,14773309,14773308,255772777,256209030,27606123,27606122,35890456,269297640,20507168,14712026,10116713,6642779,6642780,10116715,14712030,20507172,27516728,35750239,35625889,27434498,20453403,14676864,14676867,20453407,27434506,35625896,45139655,45317104,45317105,45139610,35696575,27484152,20487425,20487424,27484148,35696566,35696617,27484173,20487434,14699512,14699513,20487437,27484177,35696623,45235275,56266266,45292088,256718886,62731756,51100731,40958844,40958843,257041328,257953441,257349579,55550294,44679545,35278984,27170674,20253812,14533050,14533047,20253763,27170546,35278746,36316670,44683017,46123557,45951446,36191672,36191671,42478676,33484713,25710832,25710829,33484704,35927675,35927672,45575917,45053046,35565456,27394256,27394254,35565444,27737716,27737714,36090434,27847893,27487119,27487115,32762091,27511481,20504190,14710259,12233730,8260496,8260493,12233717,17364464,23685362,27418370,35602268,36339891,27908473,20764663,20764660,19532252,19532250,26249582,34113747,43200356,53712313,53712314,53711419,53711418,53711567,65768411,256730672,45141001,45141003,56148329,68628272,65867107,53799495,43275109,43275108,53799491,57497218,55960209,45442138,35831763,35831762,45442137,53799526,53799525,56973369,45771269,45771268,56973374,69090370,269070294,46067124,55786425,257767498,56338487,56338486,68844175,68563721,56093678,45099026,35596865,27414719,20440029,20440030,27414679,20475064,14692068,14692066,20475059,27463700,27903332,27529171,27378635,20760442,14880716,14880719,20760451,257148387,32404933,24780764,24780766,256595941,51426771,53237595,42786192,42129553,33173151,33173149,33630360,25828236,19176289,13693938,9378304,8751350,5697759,3545200,3545199,5697755,254649327,13420962,18837018,19692304,26430075,25430867,25430865,33173472,40988486,40988485,43166173,51848716,46104208,46104207,57392482,48293206,48293207,59680281,55853117,256769861,27322620,20376646,14624624,10061612,6610399,4140355,2476188,1431084,816902,816897,463009,260891,260886,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443013,2501011,1443204,1443201,2501542,2496804,2496801,4176874,6670154,10154719,14765680,20585723,25067865,25067866,30133858,38712064,48627695,256715808,46329714,36474315,28013842,20848096,20848092,27784321,27887936,20750651,14874156,14646915,10075245,6618095,6618093,6642474,6611690,6611688,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536019,35430797,35430794,27640783,27640786,27668012,27697292,26244096,19526793,19526790,26243908,26243910,34107455,43193235,46164356,56136435,56761952,45608025,35949151,35949152,36344416,36344417,46161980,56006882,56512063,69049916,57466962,57466963,258612245,74666491,74666490,70045276,257953515,257953517,51426770,51426771,53237595,42786192,42129553,33173151,33173149,33630360,25828236,19176289,13693938,9378304,8751350,5697759,3545200,2111011,2111012,3545201,5697760,8751356,12868360,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713654,9713659,14118687,9714057,9714060,14119444,19692304,26430075,25430867,25430865,33173472,40988486,40988485,43166173,51848716,51133347,51100889,40958973,40958972,41229817,51426861,45441763,257354067,44913134,35464204,27323023,20376974,14624853,10061733,6610463,4140379,2476197,1431086,816901,816897,463009,260891,260886,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536019,35430797,35430794,27640783,27640786,27668012,27697292,26244096,26244093,27539415,27691524,27870193,27642048,20588976,20588979,20595182,27652669,27652667,35962675,45118717,56118876,56122610,56259994,56775698,64451992,56534359,56534358,57487217,68411648,68532489,69341525,69341524,81935329,82321392,69984040,69984039,81880444,83653907,96281226,82264624,82264625,83554474,70023772,70023773,259218979,257665315,40193396,40193397,45519109,35885816,35885815,45519106,52606689,42231941,42231942,44921456,44921455,45485894,35861839,35678122,27472512,27472513,27885260,20749047,20606885,14778874,14778875,20606826,20677257,20667612,14819322,10191666,10191669,14819310,20667568,27761582,27762216,20667945,20667946,27762219,27686444,27686445,31374263,27622657,20576821,14760039,14760040,20576823,27622659,31594017,39359215,39359216,40278493,40278406,31594083,256541193,46157313,50298848,50298742,46157348,46157349,53219114,65204979,65204980,70121229,70121231,74561732,61778321,50298861,40278416,31594092,24090692,24090693,24090699,24090698,31594107,40278439,46306062,36453122,36340977,27909129,27909130,20830419,20830420,27994685,36453154,36340963,36340964,36340999,27909145,20765085,20765082,20765081,27909138,27994671,20830408,20830410,27994674,36453144,46306079,57650842,57460486,46306033,36453102,36453101,42769368,42769369,53219102,48122224,38212001,38212002,41236584,32411463,256596423,51434881,46871217,46871216,57650870,46306121,45592024,41236576,32411456,32411455,41236574,36992509,28495043,28495044,36992511,36453205,36453204,36992569,36453173,27994694,27994693,36453170,46306034,256850629,32411415,24786483,18304477,18304478,24786486,32411422,41236537,32411472,32411470,32411448,32411446,32411453,32411452,256722254,41236601,32411485,24786532,24786531,32411484,41236598,51434894,63132679,76138624,258034021,36936734,36936736,42111919,33157475,28495009,28495010,36992460,32411437,24786503,18304487,18304486,18304498,24786526,256596425,51434827,46871185,36992500,32411458,32411409,24786478,18304474,18304473,24786476,32411408,41236520,51434830,41236547,32411432,24786500,24786501,28781047,28781048,37316764,47225579,41984717,33040836,33040835,41984714,43874305,43874306,54616709,46871178,46871179,58238814,46871183,36992497,36992474,28495018,21277839,21277840,28495022,36992480,46871168,47225593,37316779,28781057,21517906,21517907,28781059,37316783,36992531,36992530,36992528,36992529,46871209,58238838,70955618,71560858,71560857,63132662,63132664,71356030,71356032,72929209,70955599,58238794,52692297,52692296,52325329,52325330,57992369,57992370,48793063,48793062,46955167,37074991,28571866,28571865,37074988,46955165,58322282,70955602,63142055,51442667,51442666,54596976,54596977,58238799,46871163,46871164,58238800,58238852,46871235,36992557,36992556,28994205,21709821,21709822,28994208,22886895,16658119,16658118,22886889,256447049,48793079,60189822,63404181,51660725,43852581,34580946,26593684,19788355,19788353,26593681,26593725,19788379,14174072,9744276,6407386,6407385,9744272,14174067,19788368,26593703,34580967,26593761,19788394,19788395,26593769,34581066,43852750,54596806,43852421,43852422,34580899,26593660,26593659,34580894,43852503,43852555,34580927,26593673,26593672,30284749,30284750,38870627,43852727,43852728,48793010,48792985,48792984,60189765,54597152,43852798,34581106,26593792,26593793,34581108,43852802,54596802,54596801,43853739,34582247,34582246,43853737,54597042,66855746,54597109,269613181,54597117,54596971,43852587,43852418,34580848,26593632,26593633,34580851,43852425,43852474,43852476,54596863,54597031,268811923,26593720,19788376,19788375,26593717,256720833,54596864,257318946,54597106,66855780,80285167,84109529,70572961,70572962,59372807,59372808,72105343,61998153,61998154,74794538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056391, s2 = 6686922, dlinesl.size( ) = 2 s1 = 14056391, s2 = 6686922, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14056391, Dl.E( ) = 16, 1.5e-05 seconds used appending s1 = 269358, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 177447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 177447, s2 = 11489904, int(edited[s2]) = 0 s1 = 177447, s2 = 11489904, d1 = 30, d2 = 38 Dl.O(d1) = 4226287,2527032,2527033,4226290 Dl.O(d2) = 183887317,192362541,192362578,183887343,174216927,262121900,138778058,261599291,163363530,151479486,151479487,163363532,263055669,192362427,199659494,205831941,210936681,205832086,264701059,218542345,215108178,215108179,218542443,218542530,215108366,210937146,210937061,264701065,218542512,218542523,218542409,215108128,210936939,205832145,199659645,192362532,192362530,199659638,205832137,210936927,215107845,210936698,205831951,205831950,210936696,215107841,218542161,218542602,218542508,218542507,265345121,218542523,218542409,215108128,210936939,205832145,199659645,192362532,192362530,199659638,205832137,210936927,210936736,205831977,199659523,192362446,192362445,199659517,205831972,210936727,210937172,205832325,199659775,192362630,183887375,174216948,163363585,163363583,174216918,174216916,183887329,192362566,264148281,205832147,205832144,210936937,215108123,215108232,218542493,221432045,264937466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 177447, s2 = 11489904, dlinesl.size( ) = 12 s1 = 14124877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124877, s2 = 6931429, int(edited[s2]) = 0 s1 = 14124877, s2 = 6931429, d1 = 27, d2 = 29 Dl.O(d1) = 192036743 Dl.O(d2) = 260254551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124877, s2 = 6931429, dlinesl.size( ) = 2 s1 = 14124877, s2 = 6931429, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14124877, Dl.E( ) = 42, 1.72e-05 seconds used appending s1 = 179234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 180004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13194257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6545210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6545210, s2 = 14485744, int(edited[s2]) = 0 s1 = 6545210, s2 = 14485744, d1 = 27, d2 = 25 Dl.O(d1) = 255808361,10454185,254491325,4326055,6891231,4724649,4724652,4724695,4724693,4804249,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478116,11425804,11425803,16409972,22592745,22592746,29957208,254161616,15694831,10864991,7183551,7183554,10865002,15688382,21733722,21733723,254121428,29023026,23049807,23049806,254745824,37590536,29043091,254509888,15697395,21750342,29043097,30044679,30044680,38618697,42109052,46693459,36810188,28313585,21103273,15158717,10454082,10454083,15158720,21103281,28313598,29028240,21737831,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,29039312,37586835,37589200,47468446,47468447,58852576,71578075,85147436,74768048,61969875,61969876,74768050,65377902,258454639,71583632,58859684,47476940,37571030,29024162,29024164,37570976,29024133,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071114,17167589,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,29027034,37573779,47059763,47059762,50472019,50289782,50289781,58863967,58852329,47468156,47468155,42108559,42108560,37575718,37575722,47481559,48540232,48540231,58857628,58857626,47493493,47493490,58873957,59483115,59483114,59815011,64328494,52460707,47486152,37580797,29047006,29041742,29041743,37570532,29023809,29023811,37556696,37556697,47463986,37575642,29028576,21738032,15688523,15688524,21738034,254541478,29890452,22535826,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569039,47474864,52461314,42108722,33154182,25412971,256124935,42108720,50472303,256351258,74766567,85150384,73257930,60511657,59482569,48093079,48093078,59482566,61966809,61966808,74766329,88400144,74768099,61969944,61969943,74765629,61965676,50470337,40432667,31738388,24229334,17856720,17856718,24229328,31738373,24235612,17861105,17861104,24235607,31742992,40437190,50474257,61968488,71584205,58860236,58860235,71584202,85097138,71525418,58796186,58796185,59773270,48390145,38486986,29926281,22566257,22566253,29926269,38486965,48390130,50470294,42907625,42907624,50481449,61973878,60813905,49413690,39483880,39483879,49413686,40438540,38618416,38618415,30051027,22675239,16478455,16478453,22675234,30051020,255948882,38624842,38624841,42907557,53373867,46651804,36767126,28272181,21069304,21069305,21069378,15134292,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158184,12126343,12644877,17338824,17338821,23655563,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681204,21727537,25813428,33612599,42638592,53087009,47490311,47490310,58871378,60511580,50470340,40440757,31746223,24235569,24235568,31746226,255858278,61970925,65690128,53640560,50472915,50472916,58856300,71581214,85150124,93001790,85151486,71583530,58859536,256352816,29023984,29023985,255424478,29024085,29024087,37570935,37592692,29045012,29045014,37592698,37592776,29045070,25895178,25895177,33701272,42731099,53180497,65165184,78448058,256352020,85813797,72220137,61967499,50472796,40435390,31741075,31741074,40435385,50472788,40509433,31813466,24298065,17915362,17915366,16478606,11481316,11481314,16478572,16478573,17167623,23441499,25813428,33612599,42638592,53087009,47490311,47490310,58871378,60511580,50470340,40440757,31746223,24235569,24235568,31746226,255858278,61970925,65690128,53640560,50472915,50472916,58856300,71581214,85150124,93001790,85151486,71583530,58859536,256352816,29023984,29023985 Dl.O(d2) = 8052624,5143333,5143336,8029381,254381777,254381775,8029379,8023337,5162949,5162947,3145931,1840195,1832367,1045714,1045712,1832304,1832305,1832396,1867288,1867287,3128371,1828813,1043796,1043795,1828810,3128366,3115540,3115539,5126553,5155415,3139127,3139128,5155416,4665083,267789823,1630478,1836651,1048100,1048101,1836653,3140634,4678486,7405502,11164328,254566741,3097454,1809790,1040450,1040451,1822700,1813857,1035761,583559,326153,326152,583556,590123,329225,329229,590138,1048999,1838164,1845852,1847931,1847932,1810477,1034008,1034005,1810464,1867603,3108211,5117151,3113932,3113935,5124693,3152843,3152844,4755442,5131622,5131620,5143598,8044489,5134523,5134525,5141115,5141116,5122061,3111929,3111931,5122066,3131964,1830926,1830923,3131955,3139855,5156211,4761416,4761415,3118630,3118626,5130370,5115659,4994151,4994152,5111080,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4761807,2870344,1833969,1046607,1046605,1833965,3136644,5152596,3153059,1844943,1844944,3143913,3143915,5160718,5126610,3115597,1820743,1820747,2866874,2866875,3104670,3104671,3104693,1814096,1814098,3104697,1818976,1818974,1818238,1818237,3111509,5121482,5038662,3050539,1777141,1038582,1038581,1819177,1844216,3152024,5154052,5154053,8028033,8055923,8032674,5122032,5122031,5117819,5117818,7524496,8034977,5124710,5124711,5159233,5159234,5150259,5150258,5227229,4762785,2871011,1666226,1666227,2871014,4762794,3118512,3118510,3121270,3121269,5133745,254822821,5122270,3112071,3112069,5122238,5101256,5101237,3096432,1809215,1809218,3096441,3153166,3153165,5168446,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314636,561873,590138,1048999,1838164,1845852,1054641,1054639,1848004,1809173,1809171,3096375,1826047,1826046,3124008,5124599,5124600,3146026,1840270,1050187,254257777,1835125,1842484,1051420,1051419,1842476,3149384,1846386,1846387,3155165,5173599,5175233,3156579,1847425,1847423,3156572,5175223,4757993,4757992,4757620,2867527,2867528,4757626,5113002,5113000,8023837,8041253,5131684,5131683,5129086,5075074,3077625,1795772,1024604,1024605,1795777,2868852,2868851,4759493,5130704,8031508,8032949,8032947,5168411,3150593,3150594,2868836,2868837,1837657,1048678,589985,589984,1041161,1041162,1823984,3120742,5133037,8042506,8049502,11996963,11330763,254380232,12015315,8073919,267740310,2692296,1559732,1559730,254505409,10771190,15571931,11627654,7745524,4904944,4904942,7745522,11627648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6545210, s2 = 14485744, dlinesl.size( ) = 2 s1 = 6545210, s2 = 14485744, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6545210, Dl.E( ) = 28, 3.1e-05 seconds used appending s1 = 6433503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6433503, s2 = 585308, int(edited[s2]) = 0 s1 = 6433503, s2 = 585308, d1 = 142, d2 = 119 Dl.O(d1) = 254328622,254157366,4332501,4332502 Dl.O(d2) = 15178386,21127099,28339317,36836145 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13250873, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14065579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16243340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8014868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8014868, s2 = 7840076, int(edited[s2]) = 0 s1 = 8014868, s2 = 7840076, d1 = 14, d2 = 13 Dl.O(d1) = 255400279,254732213 Dl.O(d2) = 1534135,870464,870463,870465,1534137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8014868, s2 = 7840076, dlinesl.size( ) = 2 s1 = 8014868, s2 = 7840076, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8014868, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 13295059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13295059, s2 = 7928461, int(edited[s2]) = 0 s1 = 13295059, s2 = 7928461, d1 = 28, d2 = 22 Dl.O(d1) = 11644826,11644827,11644830,16639952,16639951,11966036,255058323,7232110,4558592,4558596,4551875,2736300,1585487,1585486,1717521,1717520,2961660,4913317,7230946,10930188 Dl.O(d2) = 15779132,15779133,10930682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13295059, s2 = 7928461, dlinesl.size( ) = 32 s1 = 192946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6562798, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1267985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1267985, s2 = 14499424, int(edited[s2]) = 0 s1 = 1267985, s2 = 14499424, d1 = 1, d2 = 1 Dl.O(d1) = 31820718,24304350,20783677,20783678,268477416,47820220,37898300,255548556,15899918,11022561,7297709,7297710,11022562,15899920,21999418,17020645 Dl.O(d2) = 31820718,24304350,20783677,20783678,268477416,47820220,37898300,255548556,15899918,11022561,7297709,7297710,11022562,15899920,21999418,17020645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1267985, s2 = 14499424, dlinesl.size( ) = 2 s1 = 1267985, s2 = 14499424, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1267985, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14491581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7974806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7974806, s2 = 1006338, int(edited[s2]) = 0 s1 = 7974806, s2 = 1006338, d1 = 25, d2 = 20 Dl.O(d1) = 257460306,9869136,9869137,12413204,12413202,12413201,14370095,14370097,15658970,21698755,16585543,11565721,7698047,4872090,4070311,2435612,2435611,4070309,6495745,7195474,7135125,7135123,9889842,9889841,14384199,20068003,15627663,10895767,7206260,4540148,2728895,1580983,898716,898714,1580979,2728883,4540128,7206229,10812649,8306927,8306924,11395286,7571318,7571320,9870039,6483751,6483747,9870028,6905005,5562459,4062775,2431454,2431456,2728204,2728203,4538946,7204510,10889986,7701349,7701348,11570208,16590424,14364997,9871679,9871678,7374676,4659051,2806949,2806947,4659046,254748421,4537488,4537490,7202132,10890698,7202464,7202465,4537726,4537725,7198892,7204348,4538835,4538833,6500721,4073412,4073410,4073418,6500729,9892739,255326497,17432415,13342053,13342052,10813935,255047515,7203921,4538573,254511291,6496483,4070766,2435873,2435875,2435894,4070808,6496556,9887400,9887469,9887467,14381883,11568565,11568501,11568503,16373817,16920013,11841581,7913804,5030827,5030825,7913802,9890424,10894545,10894546,14390412,9896370,6503714,4075407,4075408,6503718,7198240,7198242,10885941,11732556,8309567,8309568,10892132,9866423,9866421,11922898,15624895,10811071,7143871,4498297,4498298,6490565,254315001,1407522,800902,800900,1407518,2433658,2433610,2433608,4066863,4536826,4498888,2703305,2703301,2703275,2703270,4498832,4499794,2728293,1580689,898578,506902,284247,284248,506905,898588,1580703,2728315,4539152,7193737,10880686,15717593,14388259,9894020,9894021,7703420 Dl.O(d2) = 58075972,58075970,46703877,46703876,58075968,70793330,84352165,84360683,70802124,70802125,84360684,87186403,98259698,112237715,98259610,256489614,70793234,84352086,98259609,112237713,112237689,112237688,112237824,98259766,98259765,270881366,269849130,98259583,84352069,70793222,70793223,84352071,98259587,112237680,98259607,98259593,84352076,70793227,58075874,46703763,257415933,70793230,84352083,98259603,112237705,126092652,272523145,166729033,155030086,259470602,101010380,101010381,98259582,98259581,98259584,112237674,112237697,126092651,259470606,112237686,126092644,112237709,112237708,258846252,112237701,112237700,115081036,129007479,142382742,260086912,112237802,98259731,98259730,112237801,126092632,126092631,115081037,101010341,87017333,73402550,60656258,60656257,70793365,258650717,58075853,46703750,36821174,28325931,255380779,15170107,255809059,36821182,270282824,73567868,73567867,70793326,58075964,46703873,36821303,28326045,21116317,255016899,10462672,15170184,268246708,36821314,36821176,28325932,28325933,36821178,46703756,58075863,70793217,60820550,49419969,39490068,39490069,49419970,60820552,61423182,70793233,58076034,254575250,48509761,58075992,255152314,73567846,73402554,260498693,98259571,84352059,70793214,70793215,60820355,49419792,257615999,73567686,87186407,87186405,74201798,61423185,49945314,39927749,31252560,31252559,38594921,30022260,22649388,22649387,30022256,38594917,48509764,59903315,49419842,49419841,60820412,49419951,39490049,30883800,30883801,39490051,49255668,49419977,60820560,73567876,87186579,87017377,73402522,60656223,49255638,39328857,39328856,39328905,49255695,254575252,48509766,59903317,60656284,73402567,73402524,60656226,49255640,39328858,257023185,30883799,39490047,49255672,60656271,73402560,60820443,49419866,49419865,60820441,60820555,49419972,49419971,49419973,60820558,257616016,60656285,258211267,60656292,60656221,49255634,49255635,39328912,30730592,30730591,39328908,49255699,255539216,39328895,30730585,23312026,17049652,17049651,23312016,23312017,30730570,39328863,49255644,60656227,257034872,39328888,49255677,60656276,67618182,55280219,55280217,67618181,81083940,73567871,73567872,87186577,87017410,73402578,60656291,49255688,39328896,39328897,49255690,60656293,60656245,60656244,60656305,60656304,73402584,257616008,60656300,73402485,73402486,60656295,49255703,39328913,30730595,23312030,17049656,11960905,8006868,8006867,11960903,17049649,23312021,30730576,39328878,49255665,60656264,73402553,87017396,76131477,76131478,87017379,87017361,73402504,60656204,60656200,60656201,73402499,73402574,60656288,60656287,73402570,73402465,73402467,258211255,49255560,39328797,39328798,256478333,23311983,23311980,23311979,30730521,39328793,257603629,73402455,87017334,259389566,72645735,59905014,48511712,38597220,30730536,30730537,39328816,49255582,258831707,60656124,49255527,256478329,23311968,17049619,17049618,23311966,30730498,39328771,49255524,60623581,49222315,39295246,30697551,30697554,39295248,49222319,39328805,30730530,23311988,17049628,11960895,11960896,17049632,23311995,30730539,30730458,30730457,39328725,49255474,60656062,73402382,73402388,73402387,87017289,101010313,260074879,87017344,73402475,73402477,87017346,87017341,73402462,60656158,60656159,60656121,268972565,30730500,30730495,30730496,39328768,49255521,49255585,39328818,268425975,23282047,23282048,30697558,39295251,49222322,269308810,30730507,23311973,23311974,30730512,30730518,30730517,30730460,23311938,17049604,17049605,23311941,30730463,39328730,49255479,60656069,72138058,72138059,85722371,258211257,49255594,39328820,39328822,49255569,39328806,39328807,39328836,30730551,23312007,23312005,30730548,39328832,49255604,60656197,73402495,73402400,73402401,60656098,257023173,30730486,23311959,23311960,23311955,17049614,17049611,23311951,30730476,39328743,49255499,60656088,72138061,59408114,48021536,48021537,49039257,49039258,60443093,270345150,60656093,256996140,42469845,47306065,37396611,256129178,15558863,15558861,21583008,28855792,35368446,35368445,44793122,55444319,268403600,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47306366,58696210,58696044,47305635,47305634,48348656,47956878,47956879,48261600,59648710,58182920,46816079,38000946,36937566,28438088,21212894,21212893,28438085,268426094,49798931,49799769,49799768,48261494,48261495,49798752,61278021,61277991,61277992,49798856,39779152,31100667,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249272,17303416,12181175,12181177,17303421,12181231,12181232,12181244,8212925,5284033,3236939,1899011,1083959,608790,608791,1083961,1899014,3236945,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955413,17955412,24347206,31871082,39330304,39330305,269080609,33206862,25459231,25459230,33206860,39332373,42168090,42167151,256128953,18859581,18859579,25459332,254820842,52525480,60339814,52525993,42167914,33207935,255790514,18860239,15140459,10442393,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,6011837,255043313,10762247,15559512,21583870,28856802,37397606,258235038,16898884,11826225,11826226,11968367,17060260,23326304,18970906,13535662,13535660,255023650,12397185,12397184,16084108,255038016,12436181,12375947,8362981,8362982,12375949,17545485,23892010,28716292,21460461,21460460,23724642,17400768,17400769,23724645,30165926,268068694,31401713,40082417,50103012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7974806, s2 = 1006338, dlinesl.size( ) = 2 s1 = 7974806, s2 = 1006338, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7974806, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 16001143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15391904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15906289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16062246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6517152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7940827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10331894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6522275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6522275, s2 = 11656134, int(edited[s2]) = 0 s1 = 6522275, s2 = 11656134, d1 = 21, d2 = 36 Dl.O(d1) = 255534822 Dl.O(d2) = 52295592,52295593,52295591,41954693,41954692,41954701,33012390,25287395,18714457,13321151,9101202,9101203,13321153,18714460,25287401,33012402,257184069,64147909,77296975,91217384,81130355,81130356,95188751,259788727,270137393,67663236,81130363,91217381,98792139,87635277,74031815,74031814,81130334,95188763,88397620,74763473,61963199,256551402,88397624,102398628,91486623,77555824,64387632,52513971,52513970,64387630,77555821,91486619,260275169,123638206,271420838,87635286,74031819,74031810,74031811,74031812,61251837,50358272,50358273,61251813,258239207,64784918,77979024,77499514,64335154,64335153,64784930,52865772,52865771,52865779,52467509,52467508,64335142,52865732,42461782,33468472,25695567,19070358,13614562,13614561,19070356,25695563,33468468,42461777,52865722,64784874,77499505,64335159,64335158,257785928,42461806,42461805,52865758,52865759,64784913,64784917,64784916,77979023,77517289,64352035,52482044,52482043,42461802,33468481,33468480,42461801,256349487,21716335,15672870,10850086,255050731,21716334,29001867,37547597,47455584,58841374,71568308,84950819,71374906,71374905,84950817,98876657,98871911,98871913,257675318,85790150,98876666,84950855,71374956,71374955,84950853,84950825,79363143,71369618,58632997,47239696,37329914,37329913,47239695,58632996,71369616,58633006,257092124,30913979,23477235,17194835,17194834,255147964,39451542,49379713,60780917,73498063,80283332,66853673,66853672,75978038,269455637,51316318,49793380,268836586,25914598,25914600,33721376,31095140,31095141,39773519,38135120,255611168,16089690,16089689,16529002,22735296,29085463,22958914,22958913,25507906,18897506,18897507,18559483,13188284,9208235,9208233,13465902,10989956,7275120,7275119,10989952,15855964,21944716,23106721,17693689,12514433,8478120,8478119,12514429,17693678,21158600,15202726,10485962,10485964,15202730,16295478,16295479,22463802,23794753,23794754,24311739,24311740,255264128,10978922,10978925,15842808,21929584,29250189,37815297,30376878,22975612,16739113,16739114,22975615,256454073,42285751,33305596,255983390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6522275, s2 = 11656134, dlinesl.size( ) = 38 s1 = 566503, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7561436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6547370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14860385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16301739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1681882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15488385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16190327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16190327, s2 = 1170574, int(edited[s2]) = 0 s1 = 16190327, s2 = 1170574, d1 = 21, d2 = 47 Dl.O(d1) = 37879375 Dl.O(d2) = 8576353,5572240,3456424,2048947,2048945,3374743,1986128,1986127,3374741,5483713,7899494,9652894,6347220,3982397,2386700,2386701,3982398,6347222,9652897,11713450,11713451,16760621,11713457,11713456,16760632,23000505,27961592,20799666,14906221,14906222,20799669,25570227,18960522,16760610,16760609,21219944,28446049,21219945,15250967,10521367,10521369,15250970,21219950,28446060,25258905,25258904,32982197,256998513,255979799,17085477,11998014,11998012,17085475,23353041,30776888,257026627,57616833,57616834,257913444,46272296,38598858,38598859,48513638,59907098,53743140,43230415,43230414,53743135,44626688,35243140,35243141,44626693,46272304,57616838,60321517,48922991,38999098,30410101,30410102,38999101,31783247,27146032,20236801,14521373,9991922,254983157,20236792,27146019,35243158,34141851,255827672,19554191,26275086,34141848,30410125,30410124,38999136,256545424,40477860,31783272,31783271,40477857,48923014,50512973,50512972,59237569,47840431,47840432,59237571,48922993,48922992,53813442,47840422,47840421,47840429,37919794,29352157,22020861,15919695,11042105,11042106,15919699,255880425,30216274,30216276,35243166,35243167,30410104,30410105,35243178,35243177,44626724,55476704,67818951,81285964,95343032,109596019,260202242,150537635,162656954,173678294,183463941,176334675,165666197,153889696,141217885,127858940,113981213,99958443,85999806,85999805,72403537,59667987,48280220,38368824,29796121,22429795,16262637,11306885,7506959,7506958,11306882,16262636,22429794,29796120,38368820,38368821,48280215,50887332,40771372,32015311,24454667,18036828,12785343,8691627,5656708,267804673,1203499,678097,405864,227609,227610,217667,217616,119446,119447,217634,391844,698199,1233118,2136566,254290879,1233439,1233438,2137053,3585664,5757908,8795311,8795310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16190327, s2 = 1170574, dlinesl.size( ) = 2 s1 = 16190327, s2 = 1170574, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16190327, Dl.E( ) = 50, 1.41e-05 seconds used appending s1 = 8032105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8032105, s2 = 16314748, int(edited[s2]) = 0 s1 = 8032105, s2 = 16314748, d1 = 95, d2 = 120 Dl.O(d1) = 23280044,255141549,7988640 Dl.O(d2) = 131189610,144420339,156830830,155598045,143048220,261283383,115818856,272174466,87801109,74197849,61419330,61419328,61419329,258251665,49941341,49941340,61419327,258251667,74197847,257642787,39923604,31248053,23763704,23763705,256513695,49941343,258251667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8032105, s2 = 16314748, dlinesl.size( ) = 8 s1 = 14485743, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13289173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 321771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 321771, s2 = 15316419, int(edited[s2]) = 0 s1 = 321771, s2 = 15316419, d1 = 77, d2 = 73 Dl.O(d1) = 8037071,5127190,3116079,1821048,1039619,1039618,1821047,3111277,1818099,1038053,584679,584678,254177317,3111267,3149535,1842594,1051501,1051500,1816083,1036983,584149,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3100530,3100533,3104667,2866682,2866681,2866568,2866566,3123449,5136667,254562606,3096432,1809215,1809218,3096441,3153166,3153165,4761801,2870339,2870338,4761796,5176785,5176786,8053761,5174886,3156295,1847217,1054148,592730,592731,1054149,1847218,3156297,4757205,4757204,3123424,1825682,1825679,3116736,5128007,8037822,11978185,8025535,5114658,3106382,3106381,5114656,8025532,11978183,11983763,8046572,254823703,11324967,16283790,22453040 Dl.O(d2) = 9867093,9280564,9280565,13555752,13555722,9280549,6079203,6079204,9280550,268147725,17128298,12037391,8092610,5184747,5184746,254404500,17128281,23400419,26925510,35007349,26937704,20051815,16025765,11126983,11126984,15143254,10444088,10444087,15143249,21082071,26925645,20040349,20040348,20875055,267946556,10305247,14973020,20875057,28043055,254547018,23405575,23405573,22900354,22900357,30298818,27040671,27040672,26934820,20048650,20048649,25475880,25475879,33223912,31422217,30440516,30440517,35018116,254971290,37404469,28863065,28863066,29132093,29132091,254315234,254687506,23281316,17022371,17022372,20067938,14384143,9889787,9889791,14384161,20047123,14361268,9868130,9868128,14361258,14378493,9884510,9884507,9873013,9869660,9869662,14362929,11999958,8053275,8053274,11133984,11133982,16035346,12487936,12487935,17659548,14361285,9868138,9868139,6485829,4064117,2432157,2432159,4064126,6485844,6494169,4069283,2434986,2434988,4069291,6494186,9884120,14378076,20062298,26947336,21290382,15324889,15324887,21290376,28510400,23861081,23861080,21564224,21564223,28835505,28864494,28864495,26953549,254687902,14385388,16128931,16128935,17142077,15728481,15728479,21786923,26954083,20069739,14386018,14386021,14973201,20875267,25117228,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,28441394,24193353,24193348,29687315,29769651,22406336,16243525,16243528,17087299,21123980,22807783,30198622,28941147,25926584,25926581,22652792,22652789,26926754,23307452,23307454,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008,21492518,21492520,28752236,35012147,26930519,26930520,23418233,23418228,25144602,21589052,15563254,10764679,7112477,4478249,4478248,7112474,10764673,15563238,21589019,28863258,21787317,21787318,28875694,21600516,15573157,15573156,17046248,23307623,25408813,18818143,13406423,13406424,18818148,16291095,11334170,11334169,11811428,11811431,16787229,11737779,11737780,16787233,23029773,29826359,22808991,22808992,18818417,13406584,9165999,9165998,13406583,256124691,42103742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 321771, s2 = 15316419, dlinesl.size( ) = 2 s1 = 321771, s2 = 15316419, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 321771, Dl.E( ) = 78, 4.7e-05 seconds used appending s1 = 6482854, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14868321, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16314747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16314747, s2 = 8032104, int(edited[s2]) = 0 s1 = 16314747, s2 = 8032104, d1 = 120, d2 = 100 Dl.O(d1) = 84402806,70845468,70845469,258251664,84402808,84402807,84402809 Dl.O(d2) = 30695320,255141548,17021225,23280043,30695319,39292815,49219471,60620016,73364597,61276069,49796685,39776853,31098608,23614923,23614924,31098613,268114294,60666308,73414026,84513786,70950249,58910894,47529805,47529806,48853113,58258772,46891926,46891927,46891928,58258773,57991515,57991516,59394684,59394685,60666355,61679794,50196609,48666085,48666084,41657592,32747103,32747102,36739893,36739894,39502566,49433749,51965463,41657647,41657646,47501374,40632793,40152173,31468329,31468330,40152174,35356040,35356041,28245324,21045694,21045695,28245326,31082498,39760400,33695343,25889137,25889136,33695341,42725153,50188866,48853245,42100164,33146096,25405846,25405845,28809271,37347728,38174388,38174389,48086700,38850519,30266609,22870021,22870022,30161212,22772598,22772596,30161210,38744257,32107446,32107444,40880163,50173215,46628165,46628166,40880228,32107516,24531035,24531036,32107518,40880231,51016351,48214747,38304703,33047467,33047465,29736066,22378194,22378197,29328362,36957768,28457510,21231462,21231460,22333440,16186484,11251351,11251352,16186488,22333447,22377919,22377917,29735701,38303674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16314747, s2 = 8032104, dlinesl.size( ) = 2 s1 = 16314747, s2 = 8032104, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16314747, Dl.E( ) = 122, 2.91e-05 seconds used appending s1 = 323633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15991185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7902879, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16216141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7946570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7946570, s2 = 7902689, int(edited[s2]) = 0 s1 = 7946570, s2 = 7902689, d1 = 18, d2 = 15 Dl.O(d1) = 65786335,53730250,256936958,26264168,19544196,19544197,26264170,34130567,255095840,53730257,59563674,59563675,66870903,59563672,59563671,48177058,38267419,29701244,22347045,22347044,29701242,38267416,48177054,41129174,32315885,24701963,24701943,24701942,32315857,32315882,29875851,22518822,16345389,11373289,11373290,11378956,7559814,4780313,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,16343980,15546617,10752737,7103968,5258305,5258304,7102701,8188740,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,12169137,11383911,11383910,16358122,22530727,22514599,16341060,11369935,11369936,16341063,16333443,16333444,12215415,8245680 Dl.O(d2) = 16352867,22511639,16337813,16337814,18536287,18536288,20125919,14434098,14434097,11655619,7767154,4920814,4920815,2967234,2967236,4920835,7767186,8188410,5257941,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195866,8226120,8226118,8066707,5160472,5160471,8066704,12009525,16329335,254390774,16325232,16325231,16921738,20201564,254804722,254997396,21321389,15350403,15350404,21321387,21321386,28545110,37044528,255783900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7946570, s2 = 7902689, dlinesl.size( ) = 2 s1 = 7946570, s2 = 7902689, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7946570, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 6637413, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6733399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14191207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9807554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6492530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13234097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13346455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 338107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 443033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 443033, s2 = 11421114, int(edited[s2]) = 0 s1 = 443033, s2 = 11421114, d1 = 38, d2 = 41 Dl.O(d1) = 11238174,8557193,5554077,5554076,8557191,12520094,8508929,254867355,17736914,17126867,12036127,12036128,15806786,12611607,12583212,8535842,8535845,8560268,8548120,8548121,12273935,12273934,15553132,11238039,7458854,4713194,2839382,1647101,936528,936529,1647105,254353895 Dl.O(d2) = 88326327,102322194,260746713,102322191,261317635,143580882,143580884,143580885,143580880,143580881,261859717,130252193,260149345,102322186,88326320,88326321,102322189,116414946,261317633,156117125,167721458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 443033, s2 = 11421114, dlinesl.size( ) = 22 s1 = 340597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 340597, s2 = 7820501, int(edited[s2]) = 0 s1 = 340597, s2 = 7820501, d1 = 1, d2 = 1 Dl.O(d1) = 8561997,5559160,5559159,254872313,255200507,254865273,268002211,12613694,12534294,12534295,267931407,254650219,12598375,8549420,8549421,8567353,8538024,8538025,8494431,5495624,3385640,3385638,3415518,3415519,5496620,3386503,3386502,5496617,6423495,5528743,3414651,2043989,2043988,1171769,1171773,2003394,1145230,642433,642435,1145239,645609,645607,646260,646261,1152023,1150693,1150690,1150873,1150871,2012366,3410369,2035106,2035105,3384063,1994782,1139958,1139957,1397864,2058368,2058369,3404663,5508390,5531742,5531733,5531734,5526267,5526265,8492737,8539108,254639052,8493148,8493149,254869347,254877265,5597489,3473993,2060861,254140115,664316,1182697,2060862,2023808,1158194,1158193,1765627,3033813,5015741,254591198,3293102,3780904,5356856,3302011,1942080,1109361,622579,346018,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234797,1705640,1705642,2011814,1150546,1150547,2011821,1986245,1134785,1134786,1134783,636752,636751,1134780,1986235,254409735,5363654,5363655,5356799,5356798,5022482,5022483,3407635,3407638,3451149,2044584,1172200,657963,657959,1172186,2044558,1999622,1142936,1142935,1999619,3393000,5370845,7215952,7215953,8527178,8527179,268003205 Dl.O(d2) = 8561997,5559160,5559159,254872313,255200507,254865273,268002211,12613694,12534294,12534295,267931407,254650219,12598375,8549420,8549421,8567353,8538024,8538025,8494431,5495624,3385640,3385638,3415518,3415519,5496620,3386503,3386502,5496617,6423495,5528743,3414651,2043989,2043988,1171769,1171773,2003394,1145230,642433,642435,1145239,645609,645607,646260,646261,1152023,1150693,1150690,1150873,1150871,2012366,3410369,2035106,2035105,3384063,1994782,1139958,1139957,1397864,2058368,2058369,3404663,5508390,5531742,5531733,5531734,5526267,5526265,8492737,8539108,254639052,8493148,8493149,254869347,254877265,5597489,3473993,2060861,254140115,664316,1182697,2060862,2023808,1158194,1158193,1765627,3033813,5015741,254591198,3293102,3780904,5356856,3302011,1942080,1109361,622579,346018,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234797,1705640,1705642,2011814,1150546,1150547,2011821,1986245,1134785,1134786,1134783,636752,636751,1134780,1986235,254409735,5363654,5363655,5356799,5356798,5022482,5022483,3407635,3407638,3451149,2044584,1172200,657963,657959,1172186,2044558,1999622,1142936,1142935,1999619,3393000,5370845,7215952,7215953,8527178,8527179,268003205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 340597, s2 = 7820501, dlinesl.size( ) = 2 s1 = 340597, s2 = 7820501, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 340597, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 7935899, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14108333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 705799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 705799, s2 = 11473870, int(edited[s2]) = 0 s1 = 705799, s2 = 11473870, d1 = 6, d2 = 30 Dl.O(d1) = 17976044,254881453 Dl.O(d2) = 62193014,75013199,88661422,102669311,116763573,130593091,272623815,130593094,273624032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 705799, s2 = 11473870, dlinesl.size( ) = 2 s1 = 705799, s2 = 11473870, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 705799, Dl.E( ) = 32, 2.41e-05 seconds used appending s1 = 6436276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6436276, s2 = 7809253, int(edited[s2]) = 0 s1 = 6436276, s2 = 7809253, d1 = 22, d2 = 23 Dl.O(d1) = 254373820,8697410 Dl.O(d2) = 64846,64844,118572,216175,389715,254198291,3570259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6436276, s2 = 7809253, dlinesl.size( ) = 2 s1 = 6436276, s2 = 7809253, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6436276, Dl.E( ) = 30, 1.41e-05 seconds used appending s1 = 7991698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7991698, s2 = 16254944, int(edited[s2]) = 0 s1 = 7991698, s2 = 16254944, d1 = 76, d2 = 35 Dl.O(d1) = 24310721,17925831,12701201,8629092,8629095,6536998,5675002 Dl.O(d2) = 218970168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7991698, s2 = 16254944, dlinesl.size( ) = 14 s1 = 14850311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14850311, s2 = 350259, int(edited[s2]) = 0 s1 = 14850311, s2 = 350259, d1 = 12, d2 = 11 Dl.O(d1) = 131845320,118019306,254894184,75997448,254894182,256079544 Dl.O(d2) = 8804124,12941131,18243707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14850311, s2 = 350259, dlinesl.size( ) = 14 s1 = 6451730, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 352461, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 353658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 353658, s2 = 11694638, int(edited[s2]) = 0 s1 = 353658, s2 = 11694638, d1 = 13, d2 = 12 Dl.O(d1) = 8906014 Dl.O(d2) = 5905669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 353658, s2 = 11694638, dlinesl.size( ) = 2 s1 = 353658, s2 = 11694638, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 353658, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 6421783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6421783, s2 = 268214, int(edited[s2]) = 0 s1 = 6421783, s2 = 268214, d1 = 26, d2 = 32 Dl.O(d1) = 254141720 Dl.O(d2) = 6600807,6600809,10044513,6601048,6601047,10044942,6837531,6837533,10376781,254710978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6421783, s2 = 268214, dlinesl.size( ) = 2 s1 = 6421783, s2 = 268214, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6421783, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 14094859, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 357916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 357916, s2 = 14850426, int(edited[s2]) = 0 s1 = 357916, s2 = 14850426, d1 = 2, d2 = 17 Dl.O(d1) = 8997123 Dl.O(d2) = 26002947,25122944,25122945,32827180,33818306,26001180,19328704,13821813,9479297,9479298,13821815,19328708,25122964,19328777,19328776,19328683,13821800,13821801,13821862,9479328,6215738,6215737,9479326,13821859,19328787,26001275,33818405,42859739,41735969,32815283,32815282,256105254,47023948,256619875,25112036,256105261,41735840,36881972,36881971,42860457,53322662,58465914,47087742,37192001,28670148,28670149,34280792,26406069,19671671,19671670,26406067,29130816,29130815,33307148,33307147,28334260,21122478,15174479,10465469,10465468,15174476,21122474,28334256,36830639,37694005,267946350,29079705,26955823,26955822,29861705,22498923,16324760,16324759,14378082,14378079,20040754,14356067,9864097,6479553,4060354,2430165,2430167,4060364,6479571,9864143,10305240,10305241,6777066,6777067,10305303,14973098,20147625,20147628,23405573,22900354,22900357,30298818,27040671,27040672,26934820,26934824,29130216,21823229,15756319,15756317,21823220,26958447,20074721,20074720,20056975,14371971,14371968,20047203,20047202,25566114,20052276,20052277,14385466,9890997,9890999,14385472,20069272,15210538,10492204,6918679,4346409,4346408,6918670,10492174,15210483,21168074,26929627,28386255,21824067,21824066,29129892,29129893,37691925,254341326,44394548,36480562,32326940,32326939,35018643,35007668,35007669,29425731,29077793,26925707,26925708,35007527,35008190,26926458,20041019,20040991,20040990,20040993,20044467,20044466,26930002,29423665,29423663,37985858,35007549,30585220,23167243,23167242,21826780,15758996,15758993,15758153,10913155,10913156,15758159,21825673,26930146,26930147,35011831,35011842,35034731,26954724,20070417,20070418,26954729,35034737,44409215,37693430,31352498,23858977,17515717,17515719,23858980,31352503,36506638,38058373,40032656,254973144,21826916,267946810,7217736,4547614,2733726,2733728,4547621,7217753,10913770,15759166,21826997,28510390,29422034,32327763,38058125,29494793,29494792,38058124,31422301,31422300,33307146,25545516,18932672,18932673,25545518,33307150,42287172,52673392,44356756,267817554,37498776,30916387,23479319,17196471,15759107,15759106,16035049,11133793,11133792,16035047,22155754,22680665,16482780,16482777,22680655,30057319,35013767,29080326,29080329,37630648,30834593,30834594,38463679,38463677,37636163,37636164,38631218,35008151,26926408,20040978,20040980,23932088,31422526,29131194,21824149,21824148,26933258,26933256,20052963,14367149,9873296,9873298,14367155,20052974,15756977,10912389,7216958,7216959,10912396,15756989,15757948,15757947,21825411,15986791,15986790,20068997,26953359,21822865,21822864,29129824,31422242,26954699,20070397,20070396,26954695,35034711,35019280,26938260,26938259,26937502,20051613,14366145,14366143,18589453,18589454,20047528,21822919,29129889,26926645,26926643,29081719,29081720,37632049,47199210,37291208,254973636,22155788,20069177,14385406,14385407,15986609,22094592,26938934,20052863,254808718,9873170,14367012,15499944,10719217,10719219,14366864,9873087,9873088,14366869,12366825,12366824,17533888,22093277,29424005,23564046,23564044,26226311,26226300,26226299,23577080,17265510,15210400,10492135,6918643,4346394,2602960,1502008,851372,851374,1502015,2602976,4346327,2602929,2602928,4346320,6918508,255019585,21167275,28385405,36881970,46760659,58128918,70843359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 357916, s2 = 14850426, dlinesl.size( ) = 2 s1 = 357916, s2 = 14850426, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 357916, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 9066276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9066276, s2 = 3495073, int(edited[s2]) = 0 s1 = 9066276, s2 = 3495073, d1 = 28, d2 = 25 Dl.O(d1) = 119335789,105139251,90954923,77071378,63956844,52135671,52135670,255620250,254892730,32896725,25187078,18626886,18626885,18626884,254289654,18626886,13242580,9032238,5900279,5900278 Dl.O(d2) = 262391080,203588928,209116050,207754338,263954212,263216474,142962549,129634935,115738373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9066276, s2 = 3495073, dlinesl.size( ) = 2 s1 = 9066276, s2 = 3495073, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9066276, Dl.E( ) = 32, 2.48e-05 seconds used appending s1 = 359016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 362207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 362777, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15386469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10144470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13428015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7976826, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10987428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 370521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14934983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14934983, s2 = 3673667, int(edited[s2]) = 0 s1 = 14934983, s2 = 3673667, d1 = 61, d2 = 43 Dl.O(d1) = 213271007,264847907,213270973,208627971,208627972,208627935,202978218,196236185,196236186,202978220,208627940,213271040,217070109,217070139,217070140,220226035,222898460,225200071,274301540,222898467,220992660,218025798,218025797,264601908 Dl.O(d2) = 127297127,113438422,99436550,85494960,71909911,59171862,47772983,255229836,29282015,21956882,21956881,28452111,28452112,36952365,46830426,57652086,46307401,41350366,32503290,24861339,18364553,13040406,13040407,18364555,24861341,32503295,32521376,24878127,18380209,13054782,13054781,18380205,24878118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14934983, s2 = 3673667, dlinesl.size( ) = 2 s1 = 14934983, s2 = 3673667, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14934983, Dl.E( ) = 64, 3.22e-05 seconds used appending s1 = 7557221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 371711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 371711, s2 = 7809796, int(edited[s2]) = 0 s1 = 371711, s2 = 7809796, d1 = 18, d2 = 21 Dl.O(d1) = 9335383 Dl.O(d2) = 3825923,3829219,6120292,9279806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 371711, s2 = 7809796, dlinesl.size( ) = 26 s1 = 11100910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 373437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 374926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 374926, s2 = 7823123, int(edited[s2]) = 0 s1 = 374926, s2 = 7823123, d1 = 2, d2 = 4 Dl.O(d1) = 9416268 Dl.O(d2) = 1341816,1362533,1362534,1341718,1341720,1362538,1362534,1341718,1341715,2285196,3814805,3843952,6094016,9303031,254148274,33421684,269089209,77919746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 374926, s2 = 7823123, dlinesl.size( ) = 12 s1 = 714881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 377954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 377954, s2 = 7810467, int(edited[s2]) = 0 s1 = 377954, s2 = 7810467, d1 = 27, d2 = 23 Dl.O(d1) = 9494022,9494023,13839569,9492844,6225597,3897341,2334006,1352777 Dl.O(d2) = 438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438373,441966,779099,1368070,2362616,3946140,254952585,19517568,256178959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 377954, s2 = 7810467, dlinesl.size( ) = 2 s1 = 377954, s2 = 7810467, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 377954, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 16090567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14018783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6475416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6475416, s2 = 1328026, int(edited[s2]) = 0 s1 = 6475416, s2 = 1328026, d1 = 19, d2 = 9 Dl.O(d1) = 254949647,9543472,13905763,13681325,9368980,6136803,6136805,9368987,9368901,8659513,8659516,9368987,9368901,8659513,8659516,9368987,9368901,8659513,8659516,9368987,9368901,8659513,8659516,9368987,9368901,8659513 Dl.O(d2) = 33377811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6475416, s2 = 1328026, dlinesl.size( ) = 8 s1 = 14063849, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 381043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 381043, s2 = 381042, int(edited[s2]) = 0 s1 = 381043, s2 = 381042, d1 = 6, d2 = 12 Dl.O(d1) = 9592034 Dl.O(d2) = 9592032,13968994,256697823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 381043, s2 = 381042, dlinesl.size( ) = 14 s1 = 6455951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6455951, s2 = 5660405, int(edited[s2]) = 0 s1 = 6455951, s2 = 5660405, d1 = 37, d2 = 44 Dl.O(d1) = 254676990 Dl.O(d2) = 231011062,229545469,265889710,221384762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6455951, s2 = 5660405, dlinesl.size( ) = 2 s1 = 6455951, s2 = 5660405, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6455951, Dl.E( ) = 58, 2.29e-05 seconds used appending s1 = 178702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6680773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6680773, s2 = 11074036, int(edited[s2]) = 0 s1 = 6680773, s2 = 11074036, d1 = 168, d2 = 243 Dl.O(d1) = 257261062 Dl.O(d2) = 26094782,33928014,257247851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6680773, s2 = 11074036, dlinesl.size( ) = 32 s1 = 9086189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9086189, s2 = 2857146, int(edited[s2]) = 0 s1 = 9086189, s2 = 2857146, d1 = 15, d2 = 8 Dl.O(d1) = 26428575,19690927,267926504 Dl.O(d2) = 85564532,257419338,47843090,59239965,257419336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9086189, s2 = 2857146, dlinesl.size( ) = 2 s1 = 9086189, s2 = 2857146, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9086189, Dl.E( ) = 20, 2.5e-05 seconds used appending s1 = 6503994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7912369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13595579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14546053, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14030175, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 395108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 395108, s2 = 15213095, int(edited[s2]) = 0 s1 = 395108, s2 = 15213095, d1 = 1, d2 = 1 Dl.O(d1) = 9999036,9999037,268177811,20251085,27165610,35269592,44663154,55524350,67874900,81341691,259801275,123813052,137528766,150552783,162668320,173687748,183472478,191558648,182915459,173018459,161853923,149549466,136284138,122307463,107891282,107891281,122307461,107891283,93462367,93462366,257268846,53902157,43378423,43378424,53902158,53902159,43378427,34279660,26404765,19670454,14100716,14100717,14101382,19671323,26405709,21517030,21517031,28779827,37315457,43872579,34602555,26615229,19806638,19806639,256199137,32071740,24499590,18072075,18072077,24499591,32071734,26615021,26615020,26615199,268538019,23841546,23841545,31333375,257901395,55197960,67541913 Dl.O(d2) = 9999036,9999037,268177811,20251085,27165610,35269592,44663154,55524350,67874900,81341691,259801275,123813052,137528766,150552783,162668320,173687748,183472478,191558648,182915459,173018459,161853923,149549466,136284138,122307463,107891282,107891281,122307461,107891283,93462367,93462366,257268846,53902157,43378423,43378424,53902158,53902159,43378427,34279660,26404765,19670454,14100716,14100717,14101382,19671323,26405709,21517030,21517031,28779827,37315457,43872579,34602555,26615229,19806638,19806639,256199137,32071740,24499590,18072075,18072077,24499591,32071734,26615021,26615020,26615199,268538019,23841546,23841545,31333375,257901395,55197960,67541913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 395108, s2 = 15213095, dlinesl.size( ) = 2 s1 = 395108, s2 = 15213095, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 395108, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6506081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 396810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 396810, s2 = 7912831, int(edited[s2]) = 0 s1 = 396810, s2 = 7912831, d1 = 30, d2 = 31 Dl.O(d1) = 10036604 Dl.O(d2) = 13480551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 396810, s2 = 7912831, dlinesl.size( ) = 2 s1 = 396810, s2 = 7912831, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 396810, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 311769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7951962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7921209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 270631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6479249, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 406035, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 582086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 276919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13242229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13242229, s2 = 14540535, int(edited[s2]) = 0 s1 = 13242229, s2 = 14540535, d1 = 73, d2 = 63 Dl.O(d1) = 255462774,16154559,11223458,11223459,267974882,256397915,16120840,11224953,11224954,16156447,22301918,16156336,16156337,16156369,11224876,7447939,4705732,254166202,935108,526977,295258,163308,163307,254100063,935101,1644548,2834780,4705712,7447909,4705787,254237091,1644580,1644587,1644588,2834846,4705819,7447947,4705737,4705738,7447949,11224885,16156387,268403077,11224889,254528827,4705768,4705740,254237083,935116,935117,1644562,2834801,4705752,7447973,11224916,7447978,7447977,11224912,7447969,7447968,4705758,2834805,2834806,4705759,7447984,255085465,22302001,29653655,38219681,48129693,38219664,29653630,22301977,22301978,21548854,16156408,11224903,7447961,4705745,4705746,7447964,11224908,16156414,22301987,255205980,16246076,22409429,255522884,15530640,15530639,16156425 Dl.O(d2) = 260186130,140277155,258317912,85165033,85165034,99087472,258317914,99087474,256571656,58879186,47499294,37595186,254623884,15700386,10868786,10868787,11194424,7573858,7573855,9924673,9924675,8330461,6522801,4086954,4086946,4086949,6522786,9924613,14427859,255745713,22098191,15989270,15989267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13242229, s2 = 14540535, dlinesl.size( ) = 10 s1 = 15542791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6546523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6825005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6825005, s2 = 5718419, int(edited[s2]) = 0 s1 = 6825005, s2 = 5718419, d1 = 51, d2 = 20 Dl.O(d1) = 258896626,10582750,6981306,4386537,4386538,6981308,10582755,15322015,21286179,28505042,23331288,17064614,11973539,8018880,8018878,11973535,17064607,23331279,28763786,28763787,22832029,22832028,30224003,23804194,17470886,12317267,12317268,254805851,4945307,7798328,10716650,7080232,4457697,2677945,1551191,1551192,2677947,4457701,4945325,4945324,7798371,11692646,16735928,16735731,16610977,11692626,11692625,16735901,22832006,16610920,16610918,22831999,30223969,30220033,22827729,22827730,255142873,11955224,17041815,23302053,22831475,16610351,11585174,11585177,16610364,22831495,22830848,16609804,11584695,11584696,16609811,22831005,30223063,22830951,22830942,22830941,22830970,16610342,11585169,11585167,16610337,22831457,22831358,16610213,16610214,22831363,16610234,11585075,11585058,7711188,7711189,7711330,4880260,4880261,7711334,11582007,11582006,16606560,22827648,30219936,38803691,48724560,38806389,30223423,22831396,22831397,21570820,15548383,10753657,10753656,11585094,16607387,11582708,11582709,7711135,4880140,4880141,7711137,7709571,4879155,2939936,2939937,4879158,7709575,7502254,7502255,4880392,4880393,7368715,7368714,11110323,16003462,255498295,16610277,16609615,16002989,16002988,11584454,11584453,16609543,254765826,7363585,7355685,4646515,2798889,1623603,923222 Dl.O(d2) = 228218780,228218781,228218782,229836306,229836310,265324170,224261658,224261659,226376814,228218791,228218794,229836311,265812644,232561793,233725966,234785081,234911744,233866107,233866108,234911745,234911747,233866110,232718040,231447851,230030254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6825005, s2 = 5718419, dlinesl.size( ) = 12 s1 = 823340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 823340, s2 = 13338318, int(edited[s2]) = 0 s1 = 823340, s2 = 13338318, d1 = 107, d2 = 121 Dl.O(d1) = 21326644,268160332 Dl.O(d2) = 4882113,2941846,1706069,969817,969816,1706045,2941799,3834485,3834482,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836910,3836909,254661441,13672406,15201653,21157349,25739293,25739292,33518761,33555627,255878226,13656295,19126453,25766083,28374480,33422951,27212306,268202819,10910319,10910320,15753944,254935525,6120661,6120660,4302273,2572304,1481016,1481017,2572308,4302286,3825738,3825736,6113656,6113655,9333568,13630749,19006621,13564980,9287576,9287577,13564985,19006624,19081325,13622891,9328261,9328262,13562800,13562799,19003940,18580963,13204410,9001430,9001429,9844221,14330372,20009673,25800753,19154446,19154447,25764238,25764237,33553877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 823340, s2 = 13338318, dlinesl.size( ) = 2 s1 = 823340, s2 = 13338318, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 823340, Dl.E( ) = 142, 4.98e-05 seconds used appending s1 = 11696546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 281874, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7609541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7609541, s2 = 10743615, int(edited[s2]) = 0 s1 = 7609541, s2 = 10743615, d1 = 78, d2 = 125 Dl.O(d1) = 269312543 Dl.O(d2) = 18505143,25039184,32726518,34978572,34978571,44356254,50191183,256462554,31482193,40166978,48294584,48294711,38384256,29811890,22444722,22444721,29811886,38384249,38384678,38384680,38384691,38384655,29812256,29812255,38384651,38383679,34669099,34669100,29811526,22444478,22444479,29811528,29811509,29811510,29812185,22444934,16275841,11317435,7514664,4750473,2863036,1661715,945466,945467,254239411,4750479,7514673,11317451,16275872,22444994,29394253,29811697,29811696,38384001,43206418,48294678,47329637,38384359,29811980,22444772,22444773,29811985,37452342,28912976,28912974,37452337,38384446,43206181,43206180,48294717,49429214,48294970,38384684,38384685,38384581,29812178,29811355,29811353,37452438,38384069,268657206,47981026,39497864,30890507,23457752,20235274,14520378,14520379,20235276,27143870,35240377,44623168,50550410,40514486,31818026,24301955,17918645,17918644,256049979,30704954,30704955,30705015,30705016,30704922,23288842,17029460,11944346,11944349,17029464,23288848,28857841,21584651,15560115,15560116,21584652,28857843,268240062,34655063,31794397,24280535,17900009,12679936,255204247,7777935,4929362,2973351,1725500,1725501,254368749,6818245,10353792,14970362,16708645,11667879,11667880,13284720,13284721,10322067,10322066,10305666,6777345,5936985,5936984,9078076,6865848,4309065,4309064,6865852,6747752,4228146,4228145,5931648,6800435,4264586,2549660,2549661,4264588,6800439,10332343,12508601,11217421,11217422,11591843,11591838,11591837,16618309,14963548,10295931,6768854,6768852,4257323,2545145,2545144,2559829,4281465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7609541, s2 = 10743615, dlinesl.size( ) = 40 s1 = 11016892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16042933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16042933, s2 = 283952, int(edited[s2]) = 0 s1 = 16042933, s2 = 283952, d1 = 0, d2 = 0 Dl.O(d1) = 245262638,245103974,267358426,244560495,244352694,244128538,243887562,243628525,243350124,243052620,242735645,242395124,242028034,267071638,241629914,241198979,240733632,240231195,239688979,239103001,238464863,237766903,236998962,236157897,235235424,234221958,233106947,231873714,230503413,265809090,227219319,225222987,222926580,220261598,217115988,213332192,208709955,203082718,196364236,263403202,179484136,169226212,157792978,145391096,132161169,118345605,104188213,90058690,76250351,63235317,51522115,41304296,32461175,24823422,18331743,13013096,8860012,5775023,3597963,3597960,5775010,8859991,10831231,13086216,13484373,13013097,267866768,24823423,32461177,41304298,51522119,63235318,260223229,132161170,145391097,260942874,179484137,188506872,187423058,178199045,167745719,156143551,156143549,143609313,130282004,116445246,258775364,260018430,143609317,130282006,258151558,88356269,74728108,61934649,50444046,40410119,31718279,24210865,24210864,17840696,12633662,8578008,5573600,3457525,2049784,1175596,1175597,2049789,3457539,5573640,8578076,12633756,12636137,12636139,12636522,17844530,24214845,254473128,254979344,24130643,17767259,255119224,29952841,22589087,22589085,21482426,15478992,10704007,7071722,4452337,4452338,7071723,10704008,15478996,21482427,28740010,37272185,47178097,58566883,71298915,84873369,84783698,71214623,58492813,47114543,37217369,28692394,21441486,15446010,10679089,7054126,4440569,254316984,1544366,2667101,4440568,7054125,255404293,28692392,37217367,47114542,58492811,71214622,259308923,259928137 Dl.O(d2) = 245262638,245103974,267358426,244560495,244352694,244128538,243887562,243628525,243350124,243052620,242735645,242395124,242028034,267071638,241629914,241198979,240733632,240231195,239688979,239103001,238464863,237766903,236998962,236157897,235235424,234221958,233106947,231873714,230503413,265809090,227219319,225222987,222926580,220261598,217115988,213332192,208709955,203082718,196364236,263403202,179484136,169226212,157792978,145391096,132161169,118345605,104188213,90058690,76250351,63235317,51522115,41304296,32461175,24823422,18331743,13013096,8860012,5775023,3597963,3597960,5775010,8859991,10831231,13086216,13484373,13013097,267866768,24823423,32461177,41304298,51522119,63235318,260223229,132161170,145391097,260942874,179484137,188506872,187423058,178199045,167745719,156143551,156143549,143609313,130282004,116445246,258775364,260018430,143609317,130282006,258151558,88356269,74728108,61934649,50444046,40410119,31718279,24210865,24210864,17840696,12633662,8578008,5573600,3457525,2049784,1175596,1175597,2049789,3457539,5573640,8578076,12633756,12636137,12636139,12636522,17844530,24214845,254473128,254979344,24130643,17767259,255119224,29952841,22589087,22589085,21482426,15478992,10704007,7071722,4452337,4452338,7071723,10704008,15478996,21482427,28740010,37272185,47178097,58566883,71298915,84873369,84783698,71214623,58492813,47114543,37217369,28692394,21441486,15446010,10679089,7054126,4440569,254316984,1544366,2667101,4440568,7054125,255404293,28692392,37217367,47114542,58492811,71214622,259308923,259928137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16042933, s2 = 283952, dlinesl.size( ) = 2 s1 = 16042933, s2 = 283952, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16042933, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14106283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106283, s2 = 11276403, int(edited[s2]) = 0 s1 = 14106283, s2 = 11276403, d1 = 31, d2 = 14 Dl.O(d1) = 126613988,271306837,84841377,71267326,58535620,47147293,37241993,28711153,28711152,37241997,47147300,47147296,37241994,255836903,15456967,10687315,7060171,7060172,10687316,15456969 Dl.O(d2) = 263529053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106283, s2 = 11276403, dlinesl.size( ) = 2 s1 = 14106283, s2 = 11276403, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14106283, Dl.E( ) = 34, 1.91e-05 seconds used appending s1 = 11085924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 421983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 422657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 836962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11003550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6482773, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 426362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 426362, s2 = 10981002, int(edited[s2]) = 0 s1 = 426362, s2 = 10981002, d1 = 11, d2 = 122 Dl.O(d1) = 10832325 Dl.O(d2) = 25712255,19084501,254934349,6111565,6104906,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,3800665,2276510,2276508,3800660,6074402,9273485,13546039,13594859,13623133,13623010,13623008,19081455,21677997,19035177,13587368,9303615,9303617,6913141,6913140,10485257,12041826,9288402,9288401,13566144,19008172,25622681,19118859,13650407,13650408,13609159,9333724,9333723,11309716,8569031,5564768,3448466,3448468,5564773,8569043,12622896,17827596,19087628,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832005,6124617,9350530,9323505,6107322,6107323,9323510,6134061,6134060,9364514,12618660,8565578,8565577,12618654,13677696,9366547,9366546,13677693,13374373,9141070,9141071,11309066,11309065,16265905,19113694,25751929,19155384,13678267,9367001,9366998,13678256,19155371,25801765,25135318,25135317,32840450,31481333,23984636,17638879,12463045,8431696,5443247,5443246,8431692,12463034,13204769,18581488,23765526,19010341,19010340,17136560,17136561,23411717,30841518,33424696,31700397,30406318,255878146,32099041,32099040,31486582,31486583,38026549,29464405,22129613,16014840,11119389,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866999,24242952,19144279,19144277,24263260,17885106,12668214,8603061,8603062,12668217,17885110,24263263,31691915,32840182,25134947,25134944,19072353,13615934,13615936,19072357,24248679,25654976,25654975,256659739,256624264,77923265,91847477,106046065,120251763,257178704,256624262,64732243,64732242,257178702,256109504,106046059,256624262,257767910,106046060,258382422,147303301,147303302,147303303,144869270,144869271,257767912,134087597,257178706,106046062,106046063,120251761,258382418,157282820,256624266,255647484,75767093,62809633,254641150,89541903,103650015,106046059,256624262,64732243,52816282,256624264,77923265,91847477,106046065,120251763,258382416,131623250,131623251,120251752,106046056,106046057,120251754,120251756,258382422,147303301,258382420,257767914,257767916,269070518,131623249,255647482,89541906,75767092,62809633,254295918,32223239,24628384,24628385,21616981,21616982,28893101,37434455,37433986,28900538,28900536,35384971,36553393,33002060,25277072,18704561,13311395,9092397,9092395,13311390,14955666,14955667,13311560,13311563,18704771,18704704,18704703,20340696,14605514,10050088,10050091,14605521,267928098,8240084,10050520,14606171,15191605,256838901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 426362, s2 = 10981002, dlinesl.size( ) = 8 s1 = 7996942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15413058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15413058, s2 = 8019529, int(edited[s2]) = 0 s1 = 15413058, s2 = 8019529, d1 = 1, d2 = 1 Dl.O(d1) = 7098670,6885666,6885667,7099746,4470191,2685797,2685798,4470192,7099729,4470183,4470182,7099728,10745755,7099609,4470111,2685745,2685746,4470126,6885706,6885705,7189568,7189567,10874104,15708114,21764364,29059780,21855203,15783706,15783707,21852731,21852732,21072995,21072994,28276968,29161141,29162281,21853787,21853786,24372195,22099160,15989874,15989876,22099166,21853020,15781957,10933047,10933046,10966824,7258967,4577972,2754285,2754284,4577970,7258963,6882306,4320245,4320247,4559957,7233616,10932882,15781767,10932874,10932875,10932654,7233450,4559836,2742677,2742676,4560780,7234777,255058643,10933244,7233903,4560181,2742546,1589405,903548,267744235,285670,509503,254122013,509542,903443,254230827,2742291,4560018,4560017,7233690 Dl.O(d2) = 7098670,6885666,6885667,7099746,4470191,2685797,2685798,4470192,7099729,4470183,4470182,7099728,10745755,7099609,4470111,2685745,2685746,4470126,6885706,6885705,7189568,7189567,10874104,15708114,21764364,29059780,21855203,15783706,15783707,21852731,21852732,21072995,21072994,28276968,29161141,29162281,21853787,21853786,24372195,22099160,15989874,15989876,22099166,21853020,15781957,10933047,10933046,10966824,7258967,4577972,2754285,2754284,4577970,7258963,6882306,4320245,4320247,4559957,7233616,10932882,15781767,10932874,10932875,10932654,7233450,4559836,2742677,2742676,4560780,7234777,255058643,10933244,7233903,4560181,2742546,1589405,903548,267744235,285670,509503,254122013,509542,903443,254230827,2742291,4560018,4560017,7233690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15413058, s2 = 8019529, dlinesl.size( ) = 2 s1 = 15413058, s2 = 8019529, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15413058, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 15989737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15989737, s2 = 11007489, int(edited[s2]) = 0 s1 = 15989737, s2 = 11007489, d1 = 6, d2 = 23 Dl.O(d1) = 10627698 Dl.O(d2) = 37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856041,10856017,10856013,15681082,21727368,268004878,17863748,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,39497324,48286643,38375890,38375889,48286640,59673681,61206974,61206975,71594183,58872216,47491350,37586767,37586765,258084135,85160646,256351912,61968248,59162508,47763732,37841104,37841105,47763739,49973676,61451504,71419807,72548809,62726657,51094517,51094515,58686603,47295756,47295753,37912095,29342876,22010828,22010830,20082194,14398688,14398690,20082203,26967203,35048049,37571641,37571640,47295925,58686822,48428651,38520994,38520731,38520732,37386551,28846306,28846303,37386538,37841285,29274672,21951137,15860616,10993111,10993112,15860623,21951155,29274710,37841334,47466253,37559293,29274575,29274577,37841129,37841114,37841116,47763765,51094498,40951284,32171860,24585951,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,29274722,37841356,47764060,49818547,39797877,39408347,30803602,30803601,31117352,32834491,25129370,25129369,30755755,30803621,30803620,39408378,40274579,46758847,49818486,268928272,67611219,55270158,44422861,44422863,55270160,67611221,76997415,90875534,90875610,257131486,73490101,72548865,59813662,59813661,59814099,48428192,38520581,29955714,22591572,22591573,29955720,38520595,37366122,37366117,29027118,21736882,15687702,10860165,10860167,15687710,21736898,29027153,37573995,35237248,27141432,20233558,14519234,14519235,20233563,16874387,12190527,8220674,5290543,5290545,8220677,12190534,16656939,11624536,7891014,7891013,11812720,12196022,12196019,11425030,7594633,7594632,11425026,16408699,22591326,29836881,38409213,38409215,38409191,38409192,30217850,22825451,16604646,16604647,22825454,29194082,21882203,15806313,10952799,10952800,15806315,254753466,31411866,23922172,17581031,12408999,12408998,17581030,23922170,31411864,40091653,50112193,61592229,258888487,101943205,270846802,127543044,257536336,255916708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15989737, s2 = 11007489, dlinesl.size( ) = 2 s1 = 15989737, s2 = 11007489, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15989737, Dl.E( ) = 40, 1.38e-05 seconds used appending s1 = 6514210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7902688, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 439053, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7913436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7913436, s2 = 14030466, int(edited[s2]) = 0 s1 = 7913436, s2 = 14030466, d1 = 17, d2 = 12 Dl.O(d1) = 256653656,254927752,23910483,17567110,12395643,8377027,5409818,3325607,3325606,5409815,5400213,3797086,2274340,2274339,3797077,267862000,12352109,12352110,12352111,16060998,254489542,4672885,2815242,1633278,943285,943284,1657806,2856462,2815339,2815340,4673047,2815816,1633590,928999,523637,293467,162301,89217,49068,27440,15545,15544,27432,49048,89183,162245,293384,523486,928754,1633171,2815039,4672433,2911121,1688782,960390,960392,1688790,2911136,4831203,7398315,11153965,11152453,7399479,7399478,11152455,16061593,11469014,7628788,7396554,7106617,7106619,7397962,7397961,7395920,7395921,11150776,11150701,7395872,7395873,11150704,7397913,4673580,4673581,7397915,4674506,4674507,4672678,4672679,7396562,7396020,7396021,7361818,7361819,11100958,15990976,16125202,16125201,21576348,22100675,22189454,16061899,11201087,11201089,16124889,11201638,7432598,7432597,11201635,16125516,22188069,16062735,11153339,7397888,7397886,11153393,11150742,7395898,4672258,4672257,7395894,7432428,7397458,7397459,7395577,4672074,2815683,2815682,2829676,1641784,933569,933570,1641764,254352835,7432201,11201092,11201064,7432179,7432181,11201068,7432629,4696684,2829806,1641863,1641864,2829812,4696693,254527821,4696370,7432122,11200990,11202842,11202843,16126931,16127000,11202892,11202891,16126997,22266820,16127034,16127035,16125602,268223851,16125180,16125181,22266438,22268255,22268454,16127493,11203286,7433804,4697482,254527943,11203282,16127483,22267030,16125901,11201973,11201974,11202278,11202257,7433063,7433062,11202124,11202122,16058476,11150151,11150153,11202734,16126809,16126255,16126256,22267372,29529202,29529201,38092850,29619125,22268179,16127167,16126088,16126089,22267235,29618461,38185604,38185940,29618949,29618950,38185942,29619190,22268281,16127305,16127306,16127445,22185632,22185633,22268425,29528111,29618155,22267717,16126666,11202633,11202631,16126659,16127380,16127367,16127369,11203213,11203214,16127400,21544846,21544845,22189474,29532270,22268001,22267999,29618559,29528408,22186033,16058960,11150516,11150518,16058966,11150525,11150526,16058985,22186069,22267056,22267102,22267104,16934619,11852250,7921575,5036210,3049264,3049265,5036218,7921592,11852282,11849625,7919883,5035247,3048754,3048751,5035236,7919864,11849594,16930801,23200000,23199942,23199941,29618807,29618809,22279679,16136289,11209315,7437563,7437566,7235547,7235548,10935510,15785202,21857099,23199842,30621652,37354951,28815825,21547155,15529514,10740431,7096301,7096299,255041873,21547143,28815806,29536721,22193580,22193579,29536716,38100393,48011098,48097366,38185869,29618838,22267744,16126688,16126689,22267747,16930749,11849565,11849563,16135553,16135554,22278635,29630463,30621821,39219059,39219061,39219062,48860673,48860672,48373428,48373429,48010488,38099355,29535473,22192236,22192235,28329541,21118885,21118884,18858943,13436723,13436721,18858936,25458415,29535534,29535530,29535529,38099425,31163290,23674799,23674800,31163293,38099716,29535880,29535878,38099709,30621685,30621686,29536300,22556235,16378560,11398852,11398849,16033928,16033929,22154244,22192482,22192484,29535721,256930477,46720620,38099371,29535490,29535491,38099374,38099357,29535475,22192239,22192238,22192256,16064064,16064065,22192258,16064075,11154295,7398500,4673935,2815865,2815866,4673938,7398507,11154306,16064057,16064056,22192247,21128762,15180314,255381453,10470788,10470787,15180279,21128719,16466163,11472824,7631104,4827982,4827932,4827934,7631023,11472725,16064917,11154815,11154817,11155466,16065847,22192131,16063977,11154238,10470747,10470748,15180211,21128633,22194320,22194179,16065766,16065765,16845129,23101857,28340844,22193136,22193107,16064792,11154742,11154287,11154286,16064061,11154840,11154841,16064969,22193275,21128765,15180316,10470814,6903682,4335661,2595369,1497083,1497084,2595371,4335666,6903690,10470826,7631100,7631098,11472813,16063836,16063837,22191976,28340850,21128732,16063778,16063779,22191867,21128770,21128771,28340880,23101953,16845219,11780401,7865481,4992659,3016294,3016291,4992652,7865465,11780360,16845143,15134001,15133995,10437913,10437911,11154922,11154921,16065084,21128973,21128941,21128938,28341062,22193439,22193440,29536590,29535238,29534828,29534827,256876766,22143947,22143948,28341118,21128987,15180449,15180450,21128992,28341128,36837887,36837810,28341009,21128891,15180395,15180396,16477684,16477685,22191884,16063791,11154127,11154129,16063799,22191900,22192185,16064014,16064013,16064043,11154275,7398488,7398487,11154268,16064031,16845167,22159004,22159005,29497856,30045377,22670114,16474350,11478469,7634428,4829872,2910439,2910440,4829877,7634440,11478484,16474372,11478619,11478618,16474015,21539401,22670076,16474327,16474326,16037896,11135905,7386356,7386355,11135897,11478426,7634408,7634407,11478417,16474132,11479041,11479040,16475159,16476234,16476208,16476205,16476473,16476472,12144783,12144782,11291998,11291999,7635314,4830404,4830405,7635076,11479502,16241992,11291912,7497128,7497129,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,4830626,4830473,2910752,2910729,1688575,1688576,2910647,4739224,2856262,1657698,943231,943232,1657705,2856274,4739256,7497224,11292061,16242192,11478234,7634312,7634313,7636672,4831257,2911155,2911154,4831248,7636646,7396495,4672642,4672644,7396502,11151582,16060382,11474254,7631973,4828480,4828478,7631966,11474223,16060983,11467974,11467973,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,303311,541237,960232,1688486,2908932,254361313 Dl.O(d2) = 890310,502366,281712,281715,502374,890326,1565794,2702257,4497270,7142618,10809428,15622870,21658581,28937057,37479014,36776510,28280534,21075699,15138802,10441142,6883178,6883181,10441151,12539298,12539297,17723600,24080773,21148510,17534495,17534497,21657545,15622171,10808972,7142352,5466380,3361374,1976197,1128110,1128111,1976201,3361385,5466407,8460220,7710546,7710544,11584165,16609180,22566230,23085072,16832173,16832174,23085074,17534596,12367301,12367305,17534602,23880136,31376430,33518640,25739178,25738876,19105729,13641172,13641171,19105724,25738870,33518322,33518323,36497674,39156788,39156787,42518253,33518332,25738863,19105721,19105720,19105665,19105666,25738800,33518262,33517958,33517957,255852526,16169909,11237673,7458521,254773965,16169911,22314970,29666745,38232956,42518236,52928770,50073912,40053991,31372818,24277730,256047813,25738776,30593879,28425268,21201908,15236559,15236560,21201910,28425272,33518260,33518534,42518415,50522180,40486558,268619876,24277710,17897296,13002639,8852117,5769191,5769194,254897443,18318166,21303875,15334876,10591240,6986726,4390237,4390235,6986722,10591231,15334865,21303862,28525726,254489372,28339580,28339574,28339566,21127445,15178882,15178883,15115075,10425905,10425906,15115068,21042971,28232785,21035685,21035684,21103573,15178409,10468636,10468635,15178451,14576442,14576441,20311399,27242174,27242137,21103569,15158928,15158930,15335921,10592084,10592083,14576523,20311494,15108784,15108783,21035077,28232207,28242918,21043914,15115678,15115677,15115685,21043920,21123601,28335549,28335551,28530674,28335495,21123546,15175298,15175297,21123542,28335493,28530681,21308217,15338402,10594027,6988826,4391744,4391745,6988830,6988300,6901849,4333727,2593716,2593715,4333721,6881253,10438337,15134573,10466909,6901103,4333042,4333044,6901108,10468603,254096910,6881027,6881026,10438080,10400140,6855745,4302553,4302552,4312188,4312189,6870261,6900197,10467633,10467970,6900477,4332404,4332405,4391323,6988326,10467648,6900206,6900207,10467652,6903268,6903270,4391737,2631417,1519467,861534,486282,273489,151532,151529,273482,486262,861489,1519390,2593710,4333709,2594478,2594479,4334632,6881082,4333821,2593765,1496026,847720,478714,478715,847728,1496049,2593807,2595275,2595276,4332654,4332652,4391579,4333760,4333758,2599175,2599176,4333101,2595212,1496988,848255,848254,1496982,2595201,4332333,2592640,2592638,2595175,4335432,6903458,6900299,6900301,4391451,2631215,1519357,861470,486254,486251,861457,1519329,1488314,1488313,1496611,2594613,2592893,1495494,1495493,2592890,4332664,2593836,2589804,2589803,2598926,2598925,4334160,2598917,2598918,4341070,4333999,2593902,1496116,847761,478732,269437,269438,254119147,1496131,1496088,1495311,1492917,845365,477107,477106,845363,1492910,1492921,1492922,254221248,254157384,2594528,2594697,4334917,6902995,10469974,10469973,15179498,10483860,6912070,6896424,4328988,2589739,1492858,254077758,268434,148734,81793,254077695,268429,477097,477096,845349,479175,479173,848653,1492954,1495983,1495982,2593673,4333653,6901674,10469163,15178862,15178525,10471957,6904717,4336740,4336739,4336855,6904806,10470513,7790879,4939684,4939682,5601366,254220802,2063119,3477065,5601368,6901417,10416501,10484044,10470208,7880909,7880910,10427647,10427648,15117990,10484043,6912280,254490116,7790767,4939587,4939586,4939593,2980711,254805313,11824092,255013916,11824092,7901923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7913436, s2 = 14030466, dlinesl.size( ) = 2 s1 = 7913436, s2 = 14030466, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7913436, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 11037482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037482, s2 = 8370875, int(edited[s2]) = 0 s1 = 11037482, s2 = 8370875, d1 = 6, d2 = 6 Dl.O(d1) = 24049658,31553675,25487250,24364746,17969099,17969098,24364742,31892784,40601671,50651627,62160652,62160653,52555792,52555791,44808773,35384300,35384301,41173040,32357367,24741115,18268066,12964394,8823646,8823647,12964396,18268070,24741120,32357377,41173052,51358976,63040014,257440426,89799447,95093495,81035695,257112192,44373000,34994622,26913188,26913189,26913870,26913919,26914008,34995425,44373653,37324810,28788623,21524651,15512558,255409983,28788621,37324809,257454989,58626256,52713202,42326024,33344854,25585092,18976675,13540888,9269603,9269449,6071578,6071577,267862069,3798420,6070949,6070795,3799072,2275536,1319567,1319475,1319440,752668,427510,427511,752670,1319442,2275296,1319419,1319420,2275298,3798718,3798945,2275453,2275454,3798915,3798914,6071652,6071694,9269600,9269944,13539984,9269307,9269308,9268885,6071158,3798547,3798546,6071155,9268882,9269546,9269547,13540820,18976607,25585002,18995822,13556079,9280819,255271199,267933360,19234732,13742198,9415325,6168881,6168882,9415321,9539138,6258072,3917701,2345088,2312790,1341697,1341699,1362524,1362522,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,766220,435749,435748,766132,766129,1341493,2312385,3859959,254207056,13619517,254658982,9325935,12655862,15516746,10731542,7090605,4464534,2682235,2682231,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,19816519,19816520,19815797,14194285,14194284,19815795,19815720,14194229,14194228,19815717,255912440,43888345,42175995,42175996,43889079,43888546,34616478,26682652,26682651,34676266,31471030,23974968,23974967,29753823,22393286,19816842,19816841,24247476,28026148,36488427,43889262,34617508,34617507,42283055,38134683,29568509,268223041,11174657,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,18580453,25134106,255912548,257532152,59209028,47810161,256147800,29318812,256916083,256147562,74537837,88152806,271400997,86408422,72813283,60075954,48679699,38758018,30175047,22786333,16570537,11551622,7685771,4863200,2930504,2930506,4863205,7685783,11551642,11555070,11443004,7695600,4870265,4870261,7695594,11422720,7727457,4903690,4087637,2445490,2445491,4087642,6523843,9926373,255483024,8918580,5820207,3630849,2168664,2168665,3630851,5820211,8918586,13087591,11423463,7593337,4803218,2895010,1680045,1680046,2894984,4803176,254785199,254826574,254386534,2930633,2930635,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548095,973489,1713145,2954314,4901759,7606779,4812388,2900255,2900256,4812395,7606793,9852261,6813123,4273395,4273394,6813117,7606522,7606521,4812235,4812232,7606535,11439164,13343839,256117659,41994712,52333892,52107947,41793793,32872580,25164901,25164902,254908518,8868456,8868457,9974119,8897177,5805444,5805441,5805425,5805427,8897144,12977305,12977303,254621628,18346942,256600789,18328943,22109644,22109646,28404461,21183510,21183509,28404458,36901797,29062444,29062443,37611698,269001880,46409852,36548270,33177501,33177502,37358582,37358583,47268552,37358569,37358568,31883112,31883113,40590183,50638007,51850154,41563226,32669975,32669976,36381139,38398024,48308720,52724300,42337097,33355811,33355810,37153395,28637951,21397658,15411695,10652926,7034267,7034268,10652930,15411702,21397667,28637971,37153422,47043875,47921637,59314898,58244725,46877739,46877737,58244720,70961323,84524855,98446891,112436391,126301345,139674377,261852870,164272235,261349886,140996123,260780104,113780201,99766176,85812341,72218395,59481220,50984909,50984908,48091740,38180106,29613211,22262432,16122137,11199293,11199292,255081311,7418464,4687950,4687951,4687974,2824812,2824811,4687973,7418501,11181035,16097885,22232759,16113700,16113699,16097967,16097968,17125824,12505956,12505959,16113564,12035183,8090861,7006575,4404296,2640044,2640045,4404302,5183537,5183536,8090808,7426774,7426775,10738357,7094808,4466970,2683660,1554566,1554567,2683664,4466981,7094823,6809808,4271077,2553528,254155671,832001,1470887,1111818,1111819,1470919,1946262,3308311,29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Dl.O(d2) = 24049658,31553675,25487250,24364746,17969099,17969098,24364742,31892784,40601671,50651627,62160652,62160653,52555792,52555791,44808773,35384300,35384301,41173040,32357367,24741115,18268066,12964394,8823646,8823647,12964396,18268070,24741120,32357377,41173052,51358976,63040014,257440426,89799447,95093495,81035695,257112192,44373000,34994622,26913188,26913189,26913870,26913919,26914008,34995425,44373653,37324810,28788623,21524651,15512558,255409983,28788621,37324809,257454989,58626256,52713202,42326024,33344854,25585092,18976675,13540888,9269603,9269449,6071578,6071577,267862069,3798420,6070949,6070795,3799072,2275536,1319567,1319475,1319440,752668,427510,427511,752670,1319442,2275296,1319419,1319420,2275298,3798718,3798945,2275453,2275454,3798915,3798914,6071652,6071694,9269600,9269944,13539984,9269307,9269308,9268885,6071158,3798547,3798546,6071155,9268882,9269546,9269547,13540820,18976607,25585002,18995822,13556079,9280819,255271199,267933360,19234732,13742198,9415325,6168881,6168882,9415321,9539138,6258072,3917701,2345088,2312790,1341697,1341699,1362524,1362522,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,766220,435749,435748,766132,766129,1341493,2312385,3859959,254207056,13619517,254658982,9325935,12655862,15516746,10731542,7090605,4464534,2682235,2682231,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,19816519,19816520,19815797,14194285,14194284,19815795,19815720,14194229,14194228,19815717,255912440,43888345,42175995,42175996,43889079,43888546,34616478,26682652,26682651,34676266,31471030,23974968,23974967,29753823,22393286,19816842,19816841,24247476,28026148,36488427,43889262,34617508,34617507,42283055,38134683,29568509,268223041,11174657,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,18580453,25134106,255912548,257532152,59209028,47810161,256147800,29318812,256916083,256147562,74537837,88152806,271400997,86408422,72813283,60075954,48679699,38758018,30175047,22786333,16570537,11551622,7685771,4863200,2930504,2930506,4863205,7685783,11551642,11555070,11443004,7695600,4870265,4870261,7695594,11422720,7727457,4903690,4087637,2445490,2445491,4087642,6523843,9926373,255483024,8918580,5820207,3630849,2168664,2168665,3630851,5820211,8918586,13087591,11423463,7593337,4803218,2895010,1680045,1680046,2894984,4803176,254785199,254826574,254386534,2930633,2930635,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,4905426,2956607,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548095,973489,1713145,2954314,4901759,7606779,4812388,2900255,2900256,4812395,7606793,9852261,6813123,4273395,4273394,6813117,7606522,7606521,4812235,4812232,7606535,11439164,13343839,256117659,41994712,52333892,52107947,41793793,32872580,25164901,25164902,254908518,8868456,8868457,9974119,8897177,5805444,5805441,5805425,5805427,8897144,12977305,12977303,254621628,18346942,256600789,18328943,22109644,22109646,28404461,21183510,21183509,28404458,36901797,29062444,29062443,37611698,269001880,46409852,36548270,33177501,33177502,37358582,37358583,47268552,37358569,37358568,31883112,31883113,40590183,50638007,51850154,41563226,32669975,32669976,36381139,38398024,48308720,52724300,42337097,33355811,33355810,37153395,28637951,21397658,15411695,10652926,7034267,7034268,10652930,15411702,21397667,28637971,37153422,47043875,47921637,59314898,58244725,46877739,46877737,58244720,70961323,84524855,98446891,112436391,126301345,139674377,261852870,164272235,261349886,140996123,260780104,113780201,99766176,85812341,72218395,59481220,50984909,50984908,48091740,38180106,29613211,22262432,16122137,11199293,11199292,255081311,7418464,4687950,4687951,4687974,2824812,2824811,4687973,7418501,11181035,16097885,22232759,16113700,16113699,16097967,16097968,17125824,12505956,12505959,16113564,12035183,8090861,7006575,4404296,2640044,2640045,4404302,5183537,5183536,8090808,7426774,7426775,10738357,7094808,4466970,2683660,1554566,1554567,2683664,4466981,7094823,6809808,4271077,2553528,254155671,832001,1470887,1111818,1111819,1470919,1946262,3308311,2924997,2924996,2534131,2534132,4238374,4254831,4272431,2554454,1471448,832293,832292,1289151,825610,466191,466190,825606,1458302,2530561,4232476,2546667,2546668,4259899,6794118,4261091,4261093,6760027,4236262,4236259,6760021,6760467,4236546,4236547,4259560,4259559,6793676,6761214,4237082,2533286,1459809,826354,466554,262561,262562,466556,826357,1111949,1111948,1459523,1459522,2532747,2225862,1291072,736960,418908,236422,236421,418906,736953,761562,1333524,2298265,3836257,6131854,9361425,12326769,254997562,20845642,255361870,10281008,10281009,12662483,10386946,10299323,6818930,4277430,2557379,2557382,4277434,6818935,10354568,254489431,4309035,4234327,2531693,1458925,1458924,2531688,4234315,6757154,6776043,4247338,2539355,1463148,828048,467340,262927,262926,467338,828040,1463130,2539331,4247300,4247228,4247158,4234220,2531631,1458897,825923,825924,1458903,2531647,4234249,6757059,4257857,2545490,1466497,1466499,2545497,4257872,6763148,5946430,5946432,9089790,6802013,6802011,8326519,8326517,12326159,12658985,10301079,6773413,4245536,4245537,4275840,6816684,10301350,6773673,6756582,4233950,4233951,6756554,6756553,6808834,6782804,4251873,2541855,2541854,4251864,6782787,8124345,5204960,5204959,8124339,7219268,7219269,7423616,11188246,16107374,22244132,29592844,38159239,31847658,24327892,17939753,255598785,8636847,8636846,12711789,17939749,24327885,28919926,37459380,40545691,31847631,31847633,24327879,24327877,31847634,31847655,31847654,31847640,24327880,17939745,17939746,24327882,31847643,40545698,50581654,50581653,62073661,74871654,88507565,102515526,116619332,130463918,117518479,103393615,89304080,75548169,62610171,50987766,40852894,256064011,255609119,12817278,12817279,254886409,5672939,3528647,2100071,2100072,3528649,5672941,5660565,3520418,2094224,254426077,8696631,12791822,18044896,24464218,32026099,40782582,50899300,62499700,257771302,117385645,131188867,260256694,261473506,71997918,269099582,29382687,22052555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037482, s2 = 8370875, dlinesl.size( ) = 2 s1 = 11037482, s2 = 8370875, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11037482, Dl.E( ) = 8, 8.82e-06 seconds used appending s1 = 534153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 534153, s2 = 371898, int(edited[s2]) = 0 s1 = 534153, s2 = 371898, d1 = 13, d2 = 11 Dl.O(d1) = 13582178,9299963,6092073,6092070,6105241,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384 Dl.O(d2) = 9339711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 534153, s2 = 371898, dlinesl.size( ) = 12 s1 = 15056526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 872241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16359699, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8077886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8077886, s2 = 7458778, int(edited[s2]) = 0 s1 = 8077886, s2 = 7458778, d1 = 33, d2 = 62 Dl.O(d1) = 21827680,29134818,37695527,38215719,35184230 Dl.O(d2) = 266217198,230050615,266125105,233882140,234927197,235878688,266598123,238252466,266858485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077886, s2 = 7458778, dlinesl.size( ) = 2 s1 = 8077886, s2 = 7458778, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8077886, Dl.E( ) = 70, 3.79e-05 seconds used appending s1 = 14041845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123233, s2 = 10712028, int(edited[s2]) = 0 s1 = 14123233, s2 = 10712028, d1 = 46, d2 = 102 Dl.O(d1) = 186476498 Dl.O(d2) = 258386618,272414953,261421746,171912806,160728203,160728204,261421748,190602375,262918740,209901961,204553537,263334602,263334606,198136303,190602378,181873295,171912807,261421748,190602375,273229470,198136302,263334604,209901958,204553535,204553536,209901959,204553537,198136300,190602372,190602371,190602381,181873296,181873294,190602376,198136301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123233, s2 = 10712028, dlinesl.size( ) = 2 s1 = 14123233, s2 = 10712028, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14123233, Dl.E( ) = 104, 3.29e-05 seconds used appending s1 = 13246799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6651064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6651064, s2 = 8652918, int(edited[s2]) = 0 s1 = 6651064, s2 = 8652918, d1 = 14, d2 = 19 Dl.O(d1) = 256956092 Dl.O(d2) = 261353015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6651064, s2 = 8652918, dlinesl.size( ) = 2 s1 = 6651064, s2 = 8652918, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6651064, Dl.E( ) = 40, 1.69e-05 seconds used appending s1 = 10154743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10154743, s2 = 67607, int(edited[s2]) = 0 s1 = 10154743, s2 = 67607, d1 = 41, d2 = 19 Dl.O(d1) = 22702560 Dl.O(d2) = 1362538,1362534,1341718,1341720,1362538,1362534,2312828,2321681,2321686,2346969,3920719,6262513,254113644,19065742,19065743,25653237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10154743, s2 = 67607, dlinesl.size( ) = 46 s1 = 16179277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16179277, s2 = 16350035, int(edited[s2]) = 0 s1 = 16179277, s2 = 16350035, d1 = 33, d2 = 40 Dl.O(d1) = 147847352,260904653,120923572,134721802,147847348,160101286,171327603,171327629,262002843,120923575,106671000,106671001,120923577,134721810,147847362,160101303,171327630,181356062,190164863,181547369,171548910,160346524,148103645,134981886,121173754,106907462,92589002,78541643,65251599,53261988,42808939,33776539,33776540,30111056,22730739,16525503,11517343,7661354,7661355,11517344,16525504,22730740,256431723,48603113,52635974 Dl.O(d2) = 185025415,193355676,200504520,206541524,264738083,211530668,211530672,206541516,200504508,193355661,185025407,185025408,263512015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14045030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10344696, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9491528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9491528, s2 = 309922, int(edited[s2]) = 0 s1 = 9491528, s2 = 309922, d1 = 1, d2 = 1 Dl.O(d1) = 6847751,4296816,2568883,2567986,1478545,835822,835823,1478547,2567992,4295355,6845498,9064299,6762685,5921702,3702842,3702843,5921704,4292531,4292532,6798716,10330497,10287322,6762389,5921853,3702927,3702926,5921850,4852263,2924021,2924024,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747146,10267658,14930871,10295456,7677936,5950640,5950639,9095618,8594221,5584092,3464505,2054576,1178784,1178786,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283566,6824871,6824869,10361290,8109050,5195308,3169932,3169931,5195306,8109044,12060459,15852182,15852181,21940495,29261902,37827392,47749634,59148131,71885994,85470514,99411316,113412482,127270852,140616681,153296632,153296633,165110258,175834875,185339809,193631684,200737936,206734297,211688453,207243267,201327482,194298522,186091689,176676092,166036296,154284130,141628784,128278827,114403099,100380241,270340507,60092190,48695821,38773618,255938501,255113825,7696024,7696025,7587179,4799034,2892643,1678827,1678829,957090,957092,1683143,2901238,4814176,4808600,2898041,2897940,2897939,4808405,7600873,8624425,6813849,4273839,2930632,2930635,2895035,2891446,1678236,1678234,2891436,4796838,5230559,8159786,11620887,16653497,22594060,16410897,11426733,7739217,5964992,5964991,9116732,11424202,11424203,12839579,8731284,8731285,11448950,7614431,4901425,2954093,1713015,973429,973428,1713012,2954082,4901406,7740813,11622438,11613213,11613212,255104013,7616438,7616439,4866544,2932492,2932493,2903955,2903953,4818859,4817498,2903197,1684180,957668,957669,1684184,2903202,4817506,254787477,7594011,7594010,11424205,16407769,16580921,11561076,7693890,7693889,11421205,11421204,16405033,16431067,11446210,11446211,10351877,6816614,4275793,4275794,6816617,10351885,15023968,11455662,7619740,4821068,4821067,7619732,11455651,14341839,9853156,9853155,14341836,20023869,26907411,34988035,44366027,55217070,65564926,53540457,43061440,34003563,29319699,21990964,21990963,29319697,37888188,268499056,113492844,127362393,140718311,153399816,165202577,260296990,193680932,200780751,206771869,262948752,215222577,211069229 Dl.O(d2) = 6847751,4296816,2568883,2567986,1478545,835822,835823,1478547,2567992,4295355,6845498,9064299,6762685,5921702,3702842,3702843,5921704,4292531,4292532,6798716,10330497,10287322,6762389,5921853,3702927,3702926,5921850,4852263,2924021,2924024,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747146,10267658,14930871,10295456,7677936,5950640,5950639,9095618,8594221,5584092,3464505,2054576,1178784,1178786,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283566,6824871,6824869,10361290,8109050,5195308,3169932,3169931,5195306,8109044,12060459,15852182,15852181,21940495,29261902,37827392,47749634,59148131,71885994,85470514,99411316,113412482,127270852,140616681,153296632,153296633,165110258,175834875,185339809,193631684,200737936,206734297,211688453,207243267,201327482,194298522,186091689,176676092,166036296,154284130,141628784,128278827,114403099,100380241,270340507,60092190,48695821,38773618,255938501,255113825,7696024,7696025,7587179,4799034,2892643,1678827,1678829,957090,957092,1683143,2901238,4814176,4808600,2898041,2897940,2897939,4808405,7600873,8624425,6813849,4273839,2930632,2930635,2895035,2891446,1678236,1678234,2891436,4796838,5230559,8159786,11620887,16653497,22594060,16410897,11426733,7739217,5964992,5964991,9116732,11424202,11424203,12839579,8731284,8731285,11448950,7614431,4901425,2954093,1713015,973429,973428,1713012,2954082,4901406,7740813,11622438,11613213,11613212,255104013,7616438,7616439,4866544,2932492,2932493,2903955,2903953,4818859,4817498,2903197,1684180,957668,957669,1684184,2903202,4817506,254787477,7594011,7594010,11424205,16407769,16580921,11561076,7693890,7693889,11421205,11421204,16405033,16431067,11446210,11446211,10351877,6816614,4275793,4275794,6816617,10351885,15023968,11455662,7619740,4821068,4821067,7619732,11455651,14341839,9853156,9853155,14341836,20023869,26907411,34988035,44366027,55217070,65564926,53540457,43061440,34003563,29319699,21990964,21990963,29319697,37888188,268499056,113492844,127362393,140718311,153399816,165202577,260296990,193680932,200780751,206771869,262948752,215222577,211069229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9491528, s2 = 309922, dlinesl.size( ) = 2 s1 = 9491528, s2 = 309922, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9491528, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1880580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1880580, s2 = 12699025, int(edited[s2]) = 0 s1 = 1880580, s2 = 12699025, d1 = 44, d2 = 45 Dl.O(d1) = 48721247,38800271,255940547 Dl.O(d2) = 192008277,183453092,173666799,173666798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1880580, s2 = 12699025, dlinesl.size( ) = 2 s1 = 1880580, s2 = 12699025, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1880580, Dl.E( ) = 70, 5.7e-05 seconds used appending s1 = 8376426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8376426, s2 = 14558890, int(edited[s2]) = 0 s1 = 8376426, s2 = 14558890, d1 = 85, d2 = 101 Dl.O(d1) = 262922292,52432101,52432102,269775268,57710639,49835874,269775523,36948120,33107497,33107496,37714593,46825925,36947989,36947822,28447899,28447901,36947846,28447846,21221562,15252323,15252322,21221560,28447840,36947809,28448472,28448004,28448005,36947997,36948071,36948070,36948058,28448066,28448065,255022096,36948024,36949013,28448839,22449952,22449951,22932841,16698074,11658739,7770101,7770102 Dl.O(d2) = 52013578,63829197,76936769,260246471,133020524,146254542,158628925,169991552,169991526,169991527,263326111,169991537,158628913,146254530,146254529,262448215,169991556,180161845,169991541,169991540,169991520,158628899,146254522,133020513,119185408,104990497,104990498,119185409,272361937,158628900,169991522,169991524,158628904,158628903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8376426, s2 = 14558890, dlinesl.size( ) = 26 s1 = 14867429, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15057889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15057889, s2 = 1013364, int(edited[s2]) = 0 s1 = 15057889, s2 = 1013364, d1 = 26, d2 = 1 Dl.O(d1) = 11828720,255135259,7903597,7903598,8215046,8215047,12183953,16899231,16899320,11826546,11826549,16004691,17093384,12006581,12006582,17093386,23160627,16899313,16899312,22348316,16899544,16899545,23160921,21306689,15337192,10593029,10593028,11111162,11828891,16902791,22348363,22348365,22348367,22348355,16198302,11260161,11260160,7905179,7905180,11828848,16902710,23160616,29702654,22371763,16216862,16216863,11826454,7903589,7903588,11826451,16899196,16641369,11826487,11826486,15337199,21306694,28528888,21306702,15337212,15337211,11826521,11826520,16899290,23160202,23160203,23160197,16898959,16198288,11260149,11260148,15380154,15380155,21357645,16903142,16899279,11826514,7903625,7903624,7471587,4721771,4721772,5131353,7903617,5024047,5024046,7903614,11826496,16899252,23160576,30577429,29728509,22371754,22371753,23165131,16902586,11828740,11828741,16902588 Dl.O(d2) = 25589750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15057889, s2 = 1013364, dlinesl.size( ) = 2 s1 = 15057889, s2 = 1013364, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15057889, Dl.E( ) = 50, 1.91e-05 seconds used appending s1 = 14060259, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15866665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 319623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 319623, s2 = 16348312, int(edited[s2]) = 0 s1 = 319623, s2 = 16348312, d1 = 0, d2 = 73 Dl.O(d1) = 7970039 Dl.O(d2) = 267769275,254176763,3093183,5095920,8004522,11957222,17044509,23305415,30196469,38780996,48703468,43343765,34244154,26367631,19635180,14072141,9677889,6365029,6365028,6303844,6303845,4008930,4008931,6310426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 319623, s2 = 16348312, dlinesl.size( ) = 20 s1 = 15088933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1554117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1554117, s2 = 16197942, int(edited[s2]) = 0 s1 = 1554117, s2 = 16197942, d1 = 1, d2 = 33 Dl.O(d1) = 39348856,30748967,23327359,17061346,11969690,8013392,5101894,5101893,8013384 Dl.O(d2) = 8718437,5674998,5675000,8718437,8718433,9946220,12364222,9946140,8946787,5839938,5839936,8946776,13127092,18477741,25004245,20153530,255221681,12884448,14045367,11643115,7756703,4912329,4912330,7756705,8832853,12976016,18067212,12809062,8709308,8709311,8762672,254890585,18167414,24617901,32208978,40992346,47402442,38896908,38896906,40837522,41575144,32686542,25006937,25006940,32686580,31828099,24310648,24310647,25000001,32677799,29763240,22400997,255091825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1554117, s2 = 16197942, dlinesl.size( ) = 2 s1 = 1554117, s2 = 16197942, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1554117, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 6518149, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 472545, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7954540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7954540, s2 = 7659707, int(edited[s2]) = 0 s1 = 7954540, s2 = 7659707, d1 = 6, d2 = 4 Dl.O(d1) = 60073930,256327426,24312061,17926874,12701950,12701949,14194466,14194467,14194299,9757807,9757805,9757923,9757922,14194500,19816094,26627064,26996166,35081014,37496851,32837787,25132669,25132668,25769889,19129946,13659015,9353329,9353331,7999860,7999857,11950918,17036920,23296808,30713442,36824550,36824549 Dl.O(d2) = 271372826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7954540, s2 = 7659707, dlinesl.size( ) = 2 s1 = 7954540, s2 = 7659707, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7954540, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 331069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 331069, s2 = 13183219, int(edited[s2]) = 0 s1 = 331069, s2 = 13183219, d1 = 2, d2 = 48 Dl.O(d1) = 8311828,8311829,12305843,17456098,16382675,16382671,255149615 Dl.O(d2) = 11351459,16315719,16312145,11349190,7541233,4770138,4770137,7541230,11349183,16312136,22474384,22474404,29245016,254347444,15839133,21925191,23004611,16765064,16765065,16235385,16235384,22395276,29755798,29839802,29839803,22479642,16308652,11347052,7540132,4769606,4769605,7540128,11347046,11353726,11353727,16319308,16315251,11351181,7542367,7542366,11351179,7542393,7542394,11351215,16315313,15977338,11091402,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310822,22018165,16357527,16357526,22530126,29842732,22475668,22475667,254581822,29840024,38412494,37919161,29351209,22019660,22019662,22529929,16357323,11383354,7562822,7562820,11383351,16357320,12157502,8188167,8188166,12157499,17277837,23589567,22519236,16345766,11373619,11373620,11381238,11381239,16354680,22484416,22484414,20126773,14434856,11380710,11380711,16354100,22515196,17295616,17295617,17336947,254834366,12157797,8188419,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146365,8224404,5294810,3245927,1905240,1905236,3245917,5294782,8224339,12193953,17318714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 331069, s2 = 13183219, dlinesl.size( ) = 2 s1 = 331069, s2 = 13183219, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 331069, Dl.E( ) = 56, 4.2e-05 seconds used appending s1 = 14054393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6436911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7980009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 478241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8058752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8058752, s2 = 9732360, int(edited[s2]) = 0 s1 = 8058752, s2 = 9732360, d1 = 1, d2 = 1 Dl.O(d1) = 254802818,16465422,16465421,11647413,7760129,7760131,7761783,11649719,16685562,16685136,11647053,7763130,7763131,7759741,7759712,7759711,11647038,16685116,11647241,11647239,16685342,16686072,16686074,11649659,11647524,11647523,16685661,16687037,16685312,11647214,7759822,7759821,11647207,16685300,16689937,16685717,11647573,11647492,7760028,4914837,2962687,2962689,4914843,4915104,7760374,11647893,11648347,7760744,7760747,11648358,16686650,16685531,16685530,11649708,11649710,16685513,22919163,30319560,38906276,38906277,48825236,48825237,60222180,72961594,60221965,48824977,38911482,30324566,30324567,38908982,38910035,30322932,22922032,22922031,30322927,38910026,46746946,46746947,48825107,38902901,30316043,30316044,38902908,38908788,30322780,22921938,16687852,16687854,22921557,16687612,16687611,22921554,22929665,22921470,20226130,14513950,9987084,9987083,14513945,14517914,20231699,27138917,35233994,38911474,30324560,30324558,30319790,22919436,22919435,24319762,17932829,12706374,8632870,254879337,17932840,18847536,13428525,9181242,9181243,13428529,18847540,25444540,22671394,18849062,13429611,13429612,18849069,21922849,23997554,17653589,17653586,23997548,31493817,33190930,27108400,20207770,14500562,13428569,13428571,18847607,15837425,10974860,7264112,7264113,10974866,15837436,21922921,18848777,13429406,9181750,254921189,18123644,21875007,16829963,16829962,23082582,23997364,23997363,23997542,17653582,12482800,8453409,5460759,3357325,1973696,1126753,631858,631859,1126757,1973702,3357339,5460783,8453446,5460805,3357349,3357348,5460803,8453487,12482924,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740540,13740541,19232668,20173943,14474346,14474344,20173939,27068821,27052645,27052644,254978538,35139049,35139050,29462984,29462359,22127729,16013011,16013013,16833546,23086842,254371924,44513660,37550697,30497766,23084451,16831634,16831633,23084405,16831584,11770365,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,4581310,2756238,1597762,1597761,2756230,4581284,7264607,10975687,15838669,21924597,29244233,29244220,29244221,256224524,30322727,30322726,38909785,38270802,29704579,22349921,16199441,16199440,12213849,8244312,5316021,3265210,3265211,3258063,3258064,5298708,5320733,8241462,8241461,254761439,4627905,2787683,2787684,254521161,3266009,3266008,5316943,5282715,3235892,3198061,1919800,1919801,3228065,5273773,8202704,12170669,17291861,23604970,256502041,49788106,61267183,74047017,87650179,101617078,115657839,101742127,259463346,74164451,269394985,31202337,31202336,31202339,31202338,257027908,14085210,14085209,14085208,19650923,256188029,26389805,34266491,43366053,257055599,31184678,23694920,17372597,254842379 Dl.O(d2) = 254802818,16465422,16465421,11647413,7760129,7760131,7761783,11649719,16685562,16685136,11647053,7763130,7763131,7759741,7759712,7759711,11647038,16685116,11647241,11647239,16685342,16686072,16686074,11649659,11647524,11647523,16685661,16687037,16685312,11647214,7759822,7759821,11647207,16685300,16689937,16685717,11647573,11647492,7760028,4914837,2962687,2962689,4914843,4915104,7760374,11647893,11648347,7760744,7760747,11648358,16686650,16685531,16685530,11649708,11649710,16685513,22919163,30319560,38906276,38906277,48825236,48825237,60222180,72961594,60221965,48824977,38911482,30324566,30324567,38908982,38910035,30322932,22922032,22922031,30322927,38910026,46746946,46746947,48825107,38902901,30316043,30316044,38902908,38908788,30322780,22921938,16687852,16687854,22921557,16687612,16687611,22921554,22929665,22921470,20226130,14513950,9987084,9987083,14513945,14517914,20231699,27138917,35233994,38911474,30324560,30324558,30319790,22919436,22919435,24319762,17932829,12706374,8632870,254879337,17932840,18847536,13428525,9181242,9181243,13428529,18847540,25444540,22671394,18849062,13429611,13429612,18849069,21922849,23997554,17653589,17653586,23997548,31493817,33190930,27108400,20207770,14500562,13428569,13428571,18847607,15837425,10974860,7264112,7264113,10974866,15837436,21922921,18848777,13429406,9181750,254921189,18123644,21875007,16829963,16829962,23082582,23997364,23997363,23997542,17653582,12482800,8453409,5460759,3357325,1973696,1126753,631858,631859,1126757,1973702,3357339,5460783,8453446,5460805,3357349,3357348,5460803,8453487,12482924,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740540,13740541,19232668,20173943,14474346,14474344,20173939,27068821,27052645,27052644,254978538,35139049,35139050,29462984,29462359,22127729,16013011,16013013,16833546,23086842,254371924,44513660,37550697,30497766,23084451,16831634,16831633,23084405,16831584,11770365,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,4581310,2756238,1597762,1597761,2756230,4581284,7264607,10975687,15838669,21924597,29244233,29244220,29244221,256224524,30322727,30322726,38909785,38270802,29704579,22349921,16199441,16199440,12213849,8244312,5316021,3265210,3265211,3258063,3258064,5298708,5320733,8241462,8241461,254761439,4627905,2787683,2787684,254521161,3266009,3266008,5316943,5282715,3235892,3198061,1919800,1919801,3228065,5273773,8202704,12170669,17291861,23604970,256502041,49788106,61267183,74047017,87650179,101617078,115657839,101742127,259463346,74164451,269394985,31202337,31202336,31202339,31202338,257027908,14085210,14085209,14085208,19650923,256188029,26389805,34266491,43366053,257055599,31184678,23694920,17372597,254842379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8058752, s2 = 9732360, dlinesl.size( ) = 2 s1 = 8058752, s2 = 9732360, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8058752, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6609105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6609105, s2 = 7975938, int(edited[s2]) = 0 s1 = 6609105, s2 = 7975938, d1 = 25, d2 = 26 Dl.O(d1) = 256502244,254394005,1896374,1896376,3233108,5279496,5279494,8208395,12176456,17298009,22841303,16618945,16618947,22841310,22761327,22761328,29244169,29244167,37808456,38947690,39772475,31094225,23610673,255160372,23610131,31093620,255998144,257049168,87653138,101619912,261273559,133587686,261273618,142865391 Dl.O(d2) = 258391537,52334984,41995839,33052462,25324027,18745144,13345014,13345015,18745146,268414217,16576376,260635717,58937935,257635472,254341803,899687,899688,1582556,2731164,4543069,2731005,1582464,899648,507473,507475,899660,1582498,2731065,4543178,3555914,2118568,2118570,3555918,5712654,8771955,12896517,18184278,24640325,26687727,34681954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6609105, s2 = 7975938, dlinesl.size( ) = 12 s1 = 14499423, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8007288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8007288, s2 = 10426696, int(edited[s2]) = 0 s1 = 8007288, s2 = 10426696, d1 = 25, d2 = 20 Dl.O(d1) = 255514966,12482366,9297344,6090435,6090436,6168015,9297390,9297391,12482268,12482270,17652807,23996086,17652395,17652394,23996083,30495296,23081811,23081810,27060195,20166410,20166409,23082220,30495707,30495805,30495806,23082935,23082936,30496438,30495443,30495442,29533008 Dl.O(d2) = 1283382,1283381,2210739,3692545,254110260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007288, s2 = 10426696, dlinesl.size( ) = 16 s1 = 7871572, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6490631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490631, s2 = 744576, int(edited[s2]) = 0 s1 = 6490631, s2 = 744576, d1 = 4, d2 = 9 Dl.O(d1) = 255150418,30576419,23912115,17569125,13063143,8901565,5808630,3623131,3623129,5808624,8277626 Dl.O(d2) = 18953021,18953020,255973082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490631, s2 = 744576, dlinesl.size( ) = 14 s1 = 7872123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14046601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6789399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6789399, s2 = 16067764, int(edited[s2]) = 0 s1 = 6789399, s2 = 16067764, d1 = 38, d2 = 47 Dl.O(d1) = 258476144,61487242,50009111,39991154,39991153,40038669,34161858,256017699,17520463,12355039,8347314,8347313,12355037,17520457,13390179,9154018,9154019,13390181,18797091,25381939,26294099,26294098,25867270,25494527,18889851,16488293,11488073,11488072,16488289,22688530,22935448,16700552,16700551,22935446,17495580,13803989,13803988,19306032,21210444,15243743,15243741,17488219,12330563 Dl.O(d2) = 259888820,184687118,175102986,164302088,152427778,139702199,126327235,112460813,255012640,70985447,67681190,58270972,46905792,46905791,267879876,81147247,255375480,100490278,86531563,255427834,256356446,39089762,49019531,60423393,73170156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6789399, s2 = 16067764, dlinesl.size( ) = 2 s1 = 6789399, s2 = 16067764, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6789399, Dl.E( ) = 48, 1.41e-05 seconds used appending s1 = 6618657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15858942, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11098286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098286, s2 = 8121393, int(edited[s2]) = 0 s1 = 11098286, s2 = 8121393, d1 = 16, d2 = 9 Dl.O(d1) = 73277509,73277510,86888751,85001012,85001013,85001030,86889443,86889444,75407651,62489592,62489591,58695188,258070383,58695205,47304775,37395321,28854689,256338057,47304772,58695199,49133083,49133082,60533195,60533205,58370937,58370939,71087344,62640267,51015971,51015970,58643495,51206671,41049830,41049832,51206672,269460468,71549968,71549961,71549960,62640285,51015984,51015982,62640282,75580757,89339625,75580733,62640249,62640251,75580729,62640245,51015954,269027277,40879780,51015967,58370945,47000608,37114699,28605248,28605247,37114695,47000600,58370931,71087336,75580739,84649955,71087361,58370966,58370967,71087366,84649961,87916986,87916987,74313354,61536505,50058008,40038567,40038566,50058005,61536501,58821910,47435509,37527922,37527920,47435506,58821907,62640278,51015980,257711339,63807893,51992463,41681225,41681223,40879772,40879769,40038489,38295776,31358598,256522837,31358605,23864665,17520397,17520398,23864668,21366311,21366310,25093409,21366306,15386882,15386881,21366303,28599392,268206800,15386886,15386885,21366315,28599406,37107847,46992966,46993019,37107905,37107906,256103824,31358550,31358433,23864527,17520316,12354925,8347237,5387554,5387555,8347240,255176123,23864534,31358442,37107932,28599470,21366370,15386921,10633633,7019394,7019393,10633629,15386914,21366359,28599461,37107924,46993032,46992996,37107872,28599427,21366332,21366333,28599428,37107876,40038484,31358554,31358527,23864603,17520360,17520359,23864599,23864554,17520334,17520333,23864550,23864613,17520371,12354964,12354965,8347263,8347260,12354971,17520386,23864634,31358561,31358568,23864638,23864636,31358564,38912499,30325448,22924388,17520299,17520298,23864495,31358399,40038374,50057872,48833527,38912589,30325522,22924436,16690057,16690058,16690020,16690022,22924386,30325441,38912483,38912448,38912447,48833417,50057962,48833396,38912432,30325397,22924353,22924352,30325393,38912428,31358517,256450349,22924325,22924326,30325345,38912379,48833334,48833361,48833261,38912309,38912308,48833256,48833490,38912564,30325503,22924422,22924423,30325506,38912569,40038353,40038354,50057865,48833545,38912607,38912606,30325547,22924450,16690069,11651201,7763194,4917497,2964614,2964613,4917493,254803017,255506307,30325487,38912542,48833389,38912459,38912460,48833424,48833467,48833466,257574873,60228149,48833503,38912574,30325508,256450365,269360965,60228220,60228219,48833539,48833462,38912536,38912535,48833461,60228180,48833469,48833442,38912518,38912517,257574865,72965707,60228199,60228198,72965732,72129619,59399001,59398999,72129614,72129607,72129606,72965757,86564151,72965713,72965714,72129659,59399057,59399056,59399040,59399041,60221018,72960898,72965702,72965645,60228082,60228083,72965651,60228205,60228206,72965749,86564166,86284651,72686091,59947421,59947419,72686085,86249810,72965730,72960904,60221029,48823871,48823872,257549373,38599913,38599914,30314981,30314982,29537372,29537373,38100934,48011437,59399025,72129634,60221143,48824004,48555316,38640484,38640483,38640435,30065766,22687435,16487554,16487553,22687431,30065763,22696131,16493708,16493707,22696124,29537364,29537354,29537353,38100902,48011496,59022527,59022515,47618908,47618907,59022512,48011512,38100906,29537358,29537359,38100910,48011519,48514544,48569737,48514599,38599917,30027015,22653675,22653676,30027020,38599921,48011526,48011430,48011429,38100869,29537334,29537336,38100874,48011454,48555318,38640487,30065792,22687453,16487568,11487612,7640649,7640647,11487607,16487561,22687447,30065779,30077055,38640441,38640440,38100913,38100896,38100897,48011490,48514535,38599873,30026990,30026991,38599877,48514539,59399083,48514590,48514591,48011516,48011515,59399090,48569742,38653828,38599924,30027023,22653679,16461476,16461477,22653683,30027027,38599840,30026971,30026972,38599844,48514494,48011445,48011446,48514523,59907801,59947451,48555307,38640478,38640479,48555279,38640459,30065776,256971661,59399070,48011498,48011499,48514638,38599948,30027036,30027038,256968597,59907928,48828814,38907018,38907017,48828812,256888956,84862072,85605655,99556041,100216942,100216943,86284625,72686051,72686050,86284624,78444846,72963981,60225046,48828780,38906992,38906991,38906986,30320296,30320297,256994087,60225037,53176989,53176991,48514628,42727406,42727405,48828718,48828719,60224955,48828692,38906936,30320272,30320273,38906941,48828701,48828804,38907010,38907011,48828806,60225065,60224949,48828685,38906933,38906934,48828688,38906961,38906962,48828745,48828756,48828757,38907002,30320310,22919958,16686306,11648076,11648077,16686314,22919968,30320258,38906915,48828668,60224929,72181732,59443480,48051994,48051996,50354926,48828789,48828790,60224988,65161867,54608495,50354904,48828727,38906954,38906953,48828725,59443012,48051367,38138075,38138074,48051362,59443007,60225057,48828799,48828800,59442994,48051348,48051350,59442998,60224944,48828746,38906969,30320286,22919948,22919949,30320290,38906976,38907016,38906910,30320254,22919934,16686297,16686298,22919938,30320265,38906925,48828624,60224889,59917671,59443488,48052001,38138777,38138778,256994089,38907005,48828795,59443038,59443342,59443073,59443074,48828627,38906881,38906883,48051410,38138133,38138078,38138079,29571982,22225323,22225321,29571978,38138107,48051345,48051353,48051352,59443000,72181503,60225010,48828738,268954394,29572312,29572311,38138488,48051744,48051358,38906896,30320244,22919927,22919928,30320246,38906901,48051407,38138127,256933803,59443044,48051992,38138774,38138773,48051370,38138169,38138168,48051456,38138537,38138536,48051445,48051446,48569746,48051381,48051382,38138138,29572004,22225339,16092102,11176769,11176767,16092099,22225331,22225763,16092429,11176984,11176983,11176930,11176929,11176782,11176784,16092134,22225388,22935567,22225403,16092147,16092148,22225405,22225378,16092123,11176780,11176781,11176961,11176960,16092400,22225735,29572480,38138681,38138757,38138358,38138357,29572370,22225592,16092275,16092276,22225594,22225660,16092326,16092327,16092330,16092292,11176886,255457431,22225710,16092378,16092379,22225696,22225697,16092442,11176998,7415657,4685997,2823451,1638093,931472,931471,1638087,2823431,4685955,7415579,11176848,16092238,22225539,29571906,22225283,22225282,28548980,255895450,28548957,28548956,255457436,22225422,22225423,29572114,34218028,38138351,29572169,22225465,22225464,256391579,48051664,46926618,38138339,29572149,268223087,255080873,11176747,16092062,22225244,16092050,11176740,11176739,16092049,19615519,14056453,14056452,19615514,26344375,34218026,43315783,46926660,58292379,59442928 Dl.O(d2) = 38137996,38137997,46926628,40924888,40924889,46926625,58048365,46673501,36787396,28290892,21084323,21084324,28290898,36787385,36787384,46673492,47020162,47166517,37260658,28728741,21471455,15469105,15469104,21471448,28728735,32147497,28620437,21383569,21383571,22789455,30178330,30178352,38761567,47020201,37132752,37102695,37102694,38761555,30622999,30622998,32147503,24564451,24564452,32147508,28620551,28620554,32147488,40924901,51065519,40924892,32147469,24564422,18124855,12852050,12852049,18124853,24564411,32147459,37132741,28620659,28620658,37132736,39224082,37132704,37132703,28620674,21383727,21383726,15469119,10696274,10696273,15469113,21471468,28728757,30178343,22789459,16573544,11554614,11554616,16573551,22789465,30178358,38761574,40924906,32147498,32147499,39224065,256858952,21383662,15400709,10644525,10644526,15400732,15400693,10644499,10644498,15400688,18124848,12852044,12852043,18124846,24564404,32147444,40924866,47020190,37132734,37132564,37132565,47020091,257163974,47920119,39224011,37132588,37132585,43211008,38571560,30001009,22631580,22631579,30001003,37070293,37070294,46949944,47020030,37132443,37132439,37132440,37132453,37290545,37290546,37260711,37132434,28620390,28620389,37132430,29441656,22108188,15996737,11105147,7364883,4652356,4652357,7364889,11105158,15996762,22108208,22108207,29441686,37132517,28620458,21383581,21383580,28620454,37132513,29441559,22108106,22108104,29441553,34310381,34310380,43411697,53519600,43041224,43041222,43041218,33983729,26143901,26143902,33983730,37290595,28756704,28756705,37290600,37290742,37290670,28756773,28756774,255621715,18233988,24704758,21330945,254501168,7001397,4400248,4400247,7001394,10610715,15358432,21330942,28556495,32319231,28756611,21497158,20842752,14943037,10277614,10277616,13915988,13915987,19446640,19446693,19446692,19446687,19446686,26143921,21330949,21330950,19446670,13916001,9551203,9551205,13916006,19446680,21497619,28756777,28756779,36466199,36466201,37290594,43041198,33983695,33983693,37290590,28756695,21497249,15490629,10712056,10712057,15490632,15490609,10712046,7076803,7076804,10712052,9551214,9551215,13916027,18233999,12933556,12933555,18233994,17602988,17602987,23948564,26143848,19446629,19446627,26143845,26143936,26143935,23948570,23948571,21497297,15490675,15490676,19446647,15490970,10712291,10712290,15490963,255038905,7076794,4455310,4455309,7076792,7076844,7076845,10712091,7076837,7076836,10712089,15490667,21497284,21497623,15490972,15490973,21497168,18385253,15491317,15490638,10712061,10712060,15490636,15490884,15490883,21497180,15490568,15490567,21497163,15490726,15490563,10712033,10712032,10712125,7076858,7076859,7077052,7077051,10712465,15491177,21497795,21497309,21497310,21497140,15490988,10712303,7076959,4455397,2676497,2676498,2676505,2676471,1550351,1550352,1550355,2676477,4455351,7076874,7076895,10712187,10712163,7076883,7076884,10712135,10712136,15490579,10712586,10712234,7076913,4455373,4455372,5419139,5419138,4455307,2676455,2676454,4455302,7076778,10712010,15490539,10712477,7077067,4455473,2676547,2676545,4455466,7077056,7077032,7077031,10712438,15491132,15490531,15490533,15490753,10712146,7076986,4455421,2676513,1550369,881401,497336,497335,881397,1550360,2676489,4455365,2676520,1550371,881402,881403,1550373,2676524,2676522,2676521,4455431,7077006,10712376,15491067,20266953,20266952,27038241,20145295,14450694,9941758,6534220,6534218,9941754,14450688,20145273,27038201,21497816,15491192,15491193,21497812,28757153,28757177,23697245,17375049,12243033,12243034,17375054,23697253,31186988,23697266,23697267,31186973,31186974,35125415,35125416,28757065,28757056,28757057,37290827,37260817,37260816,38577206,30006335,22636270,22636271,24311022,24311023,31828522,37290820,31186947,31186932,31186933,31187024,39256402,30660701,23242629,23242630,30660704,33368218,25603610,25603612,33368219,42357128,35125346,35125345,27038228,27038229,31186950,31186951,23697239,23697238,20211744,20211745,27113027,35203018,35203019,256025650,44581023,55427910,59882031,48490492,38577233,30006367,22636290,16448225,16448226,22636297,30006377,38577242,48490507,38577256,30006385,30006384,31828544,40525683,39869409,39869408,40525663,44581046,44581044,44502989,39869350,257055865,39256504,256120752,16975174,11887976,7948042,7948040,11887970,16975164,23242666,30660750,39256461,46974965,37091952,37091953,256037384,50355257,50355258,55336800,55336801,46975029,42010234,42010235,268447184,28586177,28586176,28586135,28586134,21355584,15378561,10627080,7014262,4410151,2644304,2644303,4410147,7014255,10627070,15378507,10627052,7014246,7014245,10627045,15378491,15374999,10624223,10624224,15375002,21351025,28580519,21471694,21471696,28586127,28586128,37092044,37213166,28688597,21438175,15443149,15443125,15443127,21438138,21438153,28688567,33644680,28552363,28552364,25336539,25336537,25336577,25336576,33066095,33644689,25841319,19187556,19187543,13703258,13703257,13703238,13703237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098286, s2 = 8121393, dlinesl.size( ) = 2 s1 = 11098286, s2 = 8121393, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11098286, Dl.E( ) = 18, 1.88e-05 seconds used appending s1 = 7901073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16197511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16197511, s2 = 334523, int(edited[s2]) = 0 s1 = 16197511, s2 = 334523, d1 = 29, d2 = 27 Dl.O(d1) = 256509538,36965534,28466561,21244562,21244563,28466563,36956371,28463731,21240286,15272407,10539116,6950395,4367394,4367397,4380839,6973556,10531905,10556502,10556501,12061136,15284909,10550419,10550420,15284912,17567181,17567180,15261639,10529782,6944445,6944446,4373740,2620045,2620047,4373743,2621091,2621089,4375794,6945835,10532062,6969335,6969336,10554837,12066429,12065806,10534956,6947655,6947653,4365852,4365785,4365784,6947247,10533728,10533727,8114296,8114295,12067116,10566258,10543892,10543894,12055135,12059592,12059593,10381428,10381432,15055605,18957274,13520959,12059733,12059734,15288381,17162253,17162254,12065848,10381653,9768338,9768342,14209422,15268802,15268804,10563175,6967088,6967087,10550091,6957915,6957914,10534255,10534252,15266868,15273179,15273180,21240811,25562931,18951266,18951265,15274693,10541230,10541231,15274697,255390009,10541226,10541225,15274685,21089691,15273833,10540423,6951306,4367921,2617111,2617113,4367924,6951311,10540434,15273849,15273848,255150235,8104356,6946584,6946583,10533245,15265655,21234683,21262028,15299702,10564115,6967768,6967770,10553622,6960550,6960549,9248934,9248935,13516477,15292486,10557258,6962987,267961789,15292475,21256981,15298359,10562833,6966882,6966881,10562832,15298357,21236445,15267831,10535083,6953015,6953016,6968109,4377643,4377644,6968111,10533924,14071118,19634283,15305756,15296514,15296512,15296115,15296113,13536226,9265860,9265863,10533484,6955138,4370031,2620955,2620959,4375532,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614980,4363621,2621315,1513083,1513081,2621309,4363474,2614920,2614922,4363480,4367371,6950353,10539053,10572433,15263973,15263974,21233318,21239645,21233601,15264358,10532128,6945873,6945872,10532126,15264352,15272448,10539142,6950414,4367406,2616867,2616868,3168533,5192587,6841374,6841375,9254535,13521021,9252773,6059914,3791635,2271336,1317314,1317312,1317913,1317912,2272504,3792624,3792629,6059201,6059203,6060492,9241322,9241320,8110976,8110977,12056804,8106338,8106339,12056805,17149748,13519071,9251096,6058753,3790928,3790927,6058751,9251092,13519064,255671943,13519123,9251131,9251132,10977114,10977115,13529509,9260056,9260058,12512431,15293969,10558554,10558557,15293973,13520730,13520731,13508392,12251539,12251540,15475670,10701896,10701838,8483676,254502287,254502285,10701909,15475699,21478103,28735273,37267364,47173435,58562410,71294470 Dl.O(d2) = 38375133,255990518,16270177,16270176,22437447,29803373,38375132,40111224,31432043,256118816,17596656,12420590,8394834,5417376,3330250,1958575,1118764,627716,348704,191179,191182,348714,627737,1118810,1958673,3330455,5417766,8395561,12421876,8395786,5417877,5417876,8395781,12422273,17599208,23944044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16197511, s2 = 334523, dlinesl.size( ) = 2 s1 = 16197511, s2 = 334523, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16197511, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 10150415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10150415, s2 = 654577, int(edited[s2]) = 0 s1 = 10150415, s2 = 654577, d1 = 11, d2 = 0 Dl.O(d1) = 8396249,8396250,12423043,17600377,17600364,12423034,12423035,12423029,8396241,5418102,5418103,8396243,12423031,17600358,23945456,31436364,40114840,50134674,59692214,59692213,61615248,61615249,58622571,48305291,38394761,38394759,48305289,59692202,72427936,86025721,78482851,78482850,78482860,66912716,65198393,59692201,59692200,49859003,49859002,61342524 Dl.O(d2) = 16708972,11668203,7778242,7778244,6817869,6817870,10353349,10361741,15034180,17191624,16708638,11667871,11667872,12088524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10150415, s2 = 654577, dlinesl.size( ) = 2 s1 = 10150415, s2 = 654577, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10150415, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 8054643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8054643, s2 = 98002, int(edited[s2]) = 0 s1 = 8054643, s2 = 98002, d1 = 82, d2 = 50 Dl.O(d1) = 16623307,22847024,30240520,26298754,26298756,31093854,31093855,255996014,17549302,17549301,22843109,17021067,11936582,11936579,17021074,23279832,23279795,17021047,15511103,15511105,19484199,13943355,9570360,9570362,10270991,10270988,13071920,13071919,18403447,24907799,23907431,17563692,12392450,12392452,17563656,13943403,13943404,11535202,11535199,16549748,17611953,12431421,8401834,5421697,3332928,3332929,5421700,8401838 Dl.O(d2) = 2183876,2183877,254436181,255240513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8054643, s2 = 98002, dlinesl.size( ) = 2 s1 = 8054643, s2 = 98002, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8054643, Dl.E( ) = 86, 2.69e-05 seconds used appending s1 = 14924981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14924981, s2 = 11183598, int(edited[s2]) = 0 s1 = 14924981, s2 = 11183598, d1 = 30, d2 = 44 Dl.O(d1) = 255156749 Dl.O(d2) = 37454052,47360228,58747113,258698029,85047897,98972977,112962180,111753666,97829569,83968815,70441460,57746341,46395677,36534889,255789799,14992908,10323900,6793015,4259091,2546194,1466877,1466882,2546212,4259117,6793037,4259253,4259252,6793240,10324160,12544698,15031977,10392822,6850062,6850059,6850102,10392794,10392795,11270988,9059480,5923320,5923319,254909137,17482337,16553523,16553524,20896733,20873077,14970949,14970948,14978325,10310724,10310723,14978323,14974510,14974509,14997131,12665450,254741028,3467452,3466129,2550819,2550816,4266518,4261644,4261643,6796534,6817836,6817839,4585246,4585245,3177487,1860028,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,4290828,2565476,2565474,4291024,6824935,6824936,10361356,15033795,19586242,19586241,26311140,34182673,41200294,32380249,24760268,24760270,28700243,28700242,26319173,26319174,34191077,37649565,37649566,38306872,29738988,29738977,22380835,20114395,14425032,14425031,14425041,14425040,20114404,15810469,255433695,29199426,37760880,47682972,55313292,61663952,61663951,74448069,88060161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14924981, s2 = 11183598, dlinesl.size( ) = 2 s1 = 14924981, s2 = 11183598, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14924981, Dl.E( ) = 54, 1.62e-05 seconds used appending s1 = 6441267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 90507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16266915, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15989615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15370501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15370501, s2 = 14850082, int(edited[s2]) = 0 s1 = 15370501, s2 = 14850082, d1 = 7, d2 = 1 Dl.O(d1) = 2005082,1146172,642955,356870,356871,642957,1146174,2005084,3400821,5513769,8515585,12560029,17718605,12535216,8496983,5567710,3451729,2045073,2045072,3409487,3409488 Dl.O(d2) = 8524205,12569940,17763521,24126281,256543429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15370501, s2 = 14850082, dlinesl.size( ) = 2 s1 = 15370501, s2 = 14850082, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15370501, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 225994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7820500, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14863957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 342060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 342060, s2 = 7753543, int(edited[s2]) = 0 s1 = 342060, s2 = 7753543, d1 = 46, d2 = 37 Dl.O(d1) = 8598701,12663058,255593331,31769144,24680807,18215048,255620067,23242930,254837694,255139467 Dl.O(d2) = 274417125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 342060, s2 = 7753543, dlinesl.size( ) = 18 s1 = 8010541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14049139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7875581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7875581, s2 = 501354, int(edited[s2]) = 0 s1 = 7875581, s2 = 501354, d1 = 5, d2 = 2 Dl.O(d1) = 23876866,17532135,16912690,15708581,15708582,12420826,12420827,8659167,5632837,5632834,8659157 Dl.O(d2) = 13416928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7875581, s2 = 501354, dlinesl.size( ) = 2 s1 = 7875581, s2 = 501354, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7875581, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7851042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7851042, s2 = 13298050, int(edited[s2]) = 0 s1 = 7851042, s2 = 13298050, d1 = 68, d2 = 61 Dl.O(d1) = 255222108,254429078,254429076,16806083,12778363,8686256,5652660,267850238,254194880,677125,379148,379151,214970,117837,64462,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64461,64372,64375,64528,36731,36730,67657,124701,226554,404505,715924,1258151,2172635,3600536,5778359,8864420,254199478 Dl.O(d2) = 27667705,20604545,14777485,14777484,20604540,26428967,24421616,24421615,29609892,29609890,31975100,24421613,22259313,22259314,22823941,22823942,28812297,22823971,16603420,11579751,11579750,16603417,22823962,23598343,23598246,17285898,12165116,8196474,8196473,12165111,17285885,23598218,17285932,17285931,23598299,29607928,22257475,19413155,13888919,13888918,19413148,26103698,29609597,22259324,22259325,23598323,31081949,29609617,22259335,22259334,29609612,27667698,27667697,31202253,31202255,38174828,29607857,29607858,29609448,38174929,37934538,37934539,256034884,29608028,38174973,38174972,48086982,48086983,48087120,48087145,38174872,29607900,22257453,16118126,16118128,16118483,22257863,22257458,22257321,22257320,29607737,29607908,22257615,22257614,29608072,29608311,29608287,29608284,29608283,29608125,22257661,16118273,16118249,16118248,22257620,29607991,22257531,22257532,255459860,48086978,38174682,29607721,22257310,22257309,29607719,38174651,29607691,22257282,16117966,16117967,11197673,7430062,7430061,11197669,16118569,11196609,11196611,11196074,7428786,254352679,2828370,4694184,4694554,2828576,2828577,4694556,2828741,1641226,1641227,2828743,4694876,4694958,4694959,4694444,2828512,1641120,933202,525975,294732,162986,162985,294724,525965,933177,1641085,2828461,4694292,2828426,2828394,2828393,2828761,2828762,4694908,7429817,11196081,7428893,7428894,7429094,11196386,11196375,11196376,254236620,7429031,7429077,11196369,13213164,13213168,18593685,25150523,29609323,29609322,25150412,25150414,32857341,41777925,52091407,41778096,41778097,38176051,38176052,41778018,41777939,32857347,32857346,41777935,38175112,29608170,22257718,22257717,29608164,38175106,48087284,48087294,38175123,29608176,29608174,38175117,38176057,48087305,41777900,32857321,25150396,18593571,13213108,13213106,18593564,25150373,32857291,32857296,25150494,18593622,13213128,9006854,9006855,9006859,9006858,13213141,18593642,25150534,32857461,41777921,41777922,42802199,33770413,33770411,42802194,41777904,41777906,41778020,32857501,32857502,41777930,38175162,38175163,35219294,27125979,255337365,14510464,20221391,27125981,35219297,35219361,268736485,25150402,18593573,18593574,25150404,25150669,18593783,14510459,14510460,20221385,27125971,24350203,24350204,31874839,35219305,35219306,29599419,256393979,48079181,41777956,35219331,27126008,20221405,14510475,14510472,20221402,27126005,35219327,44600104,48088523,52091488,52091486,52091484,59470117,55449395,51346039,51346038,48088494,38176622,29609839,29609840,38176626,48088503,50623699,41778029,41778028,41778031,41778077,35219253,35219254,44600036,48088415,44600019,35219233,35219234,35219222,27126031,20221418,14510482,14510483,20221423,22249978,22249974,29599405,38166197,48079155,59470125,257200388,48088392,38176524,38176523,38176677,29609867,29609868,38176679,48088375,48088376,268691856,41778160,41778161,48703886,52805074,42404972,34274580,34274579,33415026,33415027,42404923,48088476,42404928,33415033,33415031,40490914,48088323,52805004,58167629,46800207,36922128,36922129,46799279,57872068,57872064,46516177,36649075,36649074,46516166,57872061,70573415,70881065,58166954,46799584,36921654,28423375,28423374,36921648,42404829,42404830,51646644,63389382,76432984,90263476,98549343,98549338,87982909,84442304,84442302,98347730,85809937,85809936,74380312,74380313,87982923,101955975,113777935,99763768,85809904,72216124,59479084,48089594,48089596,59479090,72216134,85809922,99763787,113777955,123557460,109366047,109366046,113757415,99763780,99763779,99403592,85462912,85462911,99403589,103891530,89790196,76013539,63030975,257168644,29610982,22260569,16120809,16120810,22260570,29610985,38177838,48089605,59479106,72216160,84442298,70885048,58170977,46803593,46803594,58170982,70885057,84442309,98352091,112335202,126195770,123557463,109366049,95111904,81054488,257075270,109366043,123557455,257857678,113777924,127646230,271113634,141191667,127829547,113983647,113983648,121168960,129898120,139876876,126511328,126511329,112646906,98650557,98650558,112646909,126511336,112646911,98650562,98347627,258448032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7851042, s2 = 13298050, dlinesl.size( ) = 32 s1 = 7574347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9458966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9458966, s2 = 6687409, int(edited[s2]) = 0 s1 = 9458966, s2 = 6687409, d1 = 8, d2 = 10 Dl.O(d1) = 9765949,14206261,19831470,26644791,26016136,22047083,15943999,11064001,9016174,6293726,6293727,9587933,255708625,34084151,43167446,43167447,257850819,258468369,257703487,32008316,256059719,24448426,24448457,18031647,12781361,8688622,8688621,12781360,18031644,24448454,32008313,40764010,32008323,32008322,24448466,18031654,18031655,24448419,256059717,255212689,8688614,254883953,18031624 Dl.O(d2) = 18031628,256059721,255212693,8688625,5654558,3516008,2091052,2091051,3516006,5654553,8688616,255212691,24448434,32008297,40764004,40764010,32008323,32008322,32008321,40763996,32008291,24448424,24448422,32008289,256568743,32008292,40763999,32008306,24448443,18031636,12781357,8688619,5654555,5654556,254883955,18031641,256059725,32008287,24448420,18031622,18031621,24448418,24448459,32008315,32008293,24448440,268123557,12781356,18031633,18031644,24448455,24448468,24448462,24448461,256568751,12781352,12781353,18031630,24448433,32008296,40764003,40764008,40764007,40763998,32008291,24448424,24448422,32008289,256568743,32008292,40763999,32008306,24448443,18031636,12781357,8688619,5654555,5654556,254883955,18031641,256059725,32008287,24448420,18031622,18031621,24448418,18031648,12781362,8688623,5654557,3516008,3516007,5654556,254883955,18031641,256059725,32008287,24448420,18031622,18031621,24448418,24448459,32008315,32008293,24448440,268123557,12781356,18031634,24448438,32008302,40764007,40763998,32008291,24448424,24448422,32008289,32008295,32008294,40764001,40764004,40764010,32008323,32008322,24448466,24448467,24448468,24448462,24448460,256059719,24448426,24448457,18031647,12781361,12781355,8688620,254883955,18031641,256059725,32008287,24448420,18031622,18031621,24448418,24448459,32008315,32008293,24448440,268123557,12781356,18031634,24448438,32008301,32008311,24448445,24448444,32008308,40764004,40764010,32008323,32008322,32008321,40763996,32008291,24448424,24448422,32008289,256568743,255605361,18031623,24448422,32008289,256568743,32008292,40763999,32008306,24448443,18031636,12781357,12781358,18031638,24448447,32008297,40764004,40764010,32008323,32008322,32008321,32008310,24448445,24448446,24448449,24448427,18031626,18031627,18031653,12781364,8688624,5654558,3516008,2091052,1202733,677524,377135,207020,207022,212590,117513,64380,35499,35494,64461,64389,64388,64619,64616,118055,215285,388824,694150,1202732,2091050,3516004,5654550,8688611,12781346,18031617,257703485,256627271,32991239,257181903,52270851,52270850,257994094,64119985,257383530,88573685,74931573,62124386,50622366,40578139,40578140,31873867,31873866,40578149,40578153,31873869,24349425,17957154,17957153,256053667,40578151,40329121,31639559,31639560,30703438,23287626,255974645,39300939,37740311,29179465,29179466,37740312,29179471,29059281,29059282,31753892,24242118,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,7424773,11190106,7424746,7424745,8261323,12234773,17365923,23687307,255027634,25538322,25538318,18926317,18926318,25538321,33300432,33300433,42281796,52669022,64569465,256846196,52669076,64569519,77752087,257024522,85614205,72025857,59289397,47893524,37975780,29412433,29412434,37975782,47893525,59289399,60123002,48728197,38807663,38807662,48728196,258174767,86455658,100412989,114437742,261215691,154315821,166064288,176700370,186113080,263927725,201343351,207256918,212133663,216118184,219418959,222207197,224600998,226679425,228490386,230081666,274600009,234946198,274344034,264979526,200735640,263883042,175831935,262691016,261694338,260567830,76932541,256910830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9458966, s2 = 6687409, dlinesl.size( ) = 2 s1 = 9458966, s2 = 6687409, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9458966, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 7886148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7886148, s2 = 299907, int(edited[s2]) = 0 s1 = 7886148, s2 = 299907, d1 = 40, d2 = 49 Dl.O(d1) = 75419732,62500604,258675966,12792236,12792235,10610764,9127667,268009409,8707657 Dl.O(d2) = 11198438,7430578,4695466,4695465,7430576,255460023,11225014,11223905,11223904,16155006,16155007,22300309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7886148, s2 = 299907, dlinesl.size( ) = 10 s1 = 346049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13206409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13206409, s2 = 722572, int(edited[s2]) = 0 s1 = 13206409, s2 = 722572, d1 = 21, d2 = 18 Dl.O(d1) = 36806,36809,67825,254081893,404839,716356,1258713,2173375,3637288,5829109,8930882,13104189,18447044,18447043,18447208,24966031,32111320,32111321,40884672,36813555,36813556,32635510,32110872,24533886,18101021,12834218,8726903,8726900,12834215,18101013,24533870,32110846,24965724,24965725,32635489,32635481,24965716,18446939,13104048,8930809,8930808,13104043,18446935,18447056,13104118,13104119,18447057,24965864,18447184,13104209,8930894,5829120,5829116,5829114,5829105,5829106,8930871,13104162,13104183,18447136,13104167,13104166,18447086,18447087,24534417,24534416,32111324,32635500,32635501,41521563,36870000,36869998,46749360,40884380,32110862,32110838,32110837,40884359,33246270,25495661,25495662,24965972,24965971,32111077,32111075,40884542,51021526,40884278,32110742,24533773,24533772,32110739,40884271,40884515,40884514,32635793,24965994,24965993,18447176,13104203,8930889,8930887,8930863,8930862,13104149,18447101,254625020,18890733,24534382,24534381,32111055,32111056,40884524,51021612,40884445,32110954,24533976,24533975,32110950,40884437,32111130,32111129,38644280,38644278,32726585,32726586,32726595,25039248,25039247,24534194,18101239,12834350,8726976,5681140,3533863,2103297,2103296,3533858,5681134,8726969 Dl.O(d2) = 8727248,12834774,18101872,24534860,24985420,18462993,13116076,13116075,18462987,24985409,32659193,24985371,18462964,13116065,13116064,18462960,24985367,25039258,18505200,13147421,13147422,13147437,8960864,8960863,13147433,18505221,25039281,24534832,24534831,24534837,24534836,24985336,18462938,13116055,8939145,8939143,13116048,18462924,24985320,24985359,18462952,18462951,24985354,255217128,12834777,12834764,12834763,18101849,18101869,24534854,32111698,32659221,32659220,32659238,24985406,24985405,32659233,41549432,32659202,24985379,18462971,18462972,24985384,32659210,32726618,25039276,21173699,15214600,15214601,18505224,25039280,25039279,28393311,21173723,18101854,18101855,24534841,25039251,25039250,32659323,32659151,24985300,18462917,18462919,24985304,18463100,13116133,13116134,18463103,18463143,24985629,24534864,18101874,18101875,18462968,24534827,32111662,32111695,32659226,24985399,18463041,13116093,8939157,8939156,13116088,18463025,24985451,32635564,24965779,24965778,32635559,32659162,28393282,21173705,15214587,10495115,10495116,15214593,21173714,28393295,32659180,24985363,18462954,13116101,13116102,18463055,24985480,18463062,18463064,24985507,32659329,24985579,18463107,13116137,8939173,8939175,13116143,13116170,18463149,18463073,18463072,24985376,24985375,32111656,32659352,41549537,51831942,41549457,41549458,41549468,33450389,27133400,24985467,18463037,18463036,24965781,18446986,18446988,24965787,32635572,24985458,18463031,18463032,24985460,21173709,21173708,27133435,32659186,24985350,24985351,24985494,18463052,18463050,24985486,32659301,32659481,32659325,24985551,24985550,18463133,13116158,8939187,5834667,3640790,3640791,5834658,5834656,8939162,13116114,18463079,24985533,268457396,36890394,41549461,32659255,24985438,24985439,27133408,20227421,20227420,24985606,24985604,32111259,40884648,35227623,35227624,44608509,41549474,32659277,32659276,33450436,27133445,20227436,20227435,27133442,35227641,36890374,32659309,32659304,32659297,32659296,24985545,18463085,13116120,13116122,18463091,24985558,18463121,13116149,8939180,8939169,8939168,8939191,13116097,13116109,18463068,24985517,32659344,41549529,47723745,58136428,58136429,47723769,44608490,35227595,27133396,20227415,20227414,27133395,32659436,41549624,50554694,50554695,58136420,46768670,36890379,36890381,37802571,37802570,37802422,37802423,37802444,41549603,44608537,55457062,51831975,41549516,32659338,32659337,41549513,51831972,51832010,51831995,51831992,63622445,51881539,41587715,32689292,25009216,25009218,32689294,41587717,47723794,47723846,37802659,37802563,29239038,21920487,21920485,15835865,15835866,21920501,29239056,37802411,29238892,29238891,21920521,15835878,15835880,21920524,29239081,37802621,47723812,41549631,37802464,29238930,21920407,15835813,15835811,21920404,29238927,37802461,41549636,32659447,32659448,41549640,37802603,36889350,28392481,28392482,29238981,29238980,37802414,37802549,37802548,47723743,37908098,29339230,22007777,22007774,29339226,37802663,29239131,29239132,29239063,21920511,15835870,10973896,10973894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13206409, s2 = 722572, dlinesl.size( ) = 2 s1 = 13206409, s2 = 722572, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13206409, Dl.E( ) = 22, 1.41e-05 seconds used appending s1 = 349818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070401, s2 = 2335571, int(edited[s2]) = 0 s1 = 14070401, s2 = 2335571, d1 = 1, d2 = 1 Dl.O(d1) = 34618,34619,19955,11350,11348,19989,35478,64392,64764,64767,118403,215850,389383,694761,254198219,3569312,5732421,8800267,12935698,255621973,32322966,41136950,51320917,63000152,75982954,89761634,103865085,118009824,261376139,145096636,262416923,168994095,179280137,188330639,179677848,169448455,158034645,145631583,132383195,118540673,104353955,258157038,63336461,51612272,41386176,32535643,24890500,18390418 Dl.O(d2) = 34618,34619,19955,11350,11348,19989,35478,64392,64764,64767,118403,215850,389383,694761,254198219,3569312,5732421,8800267,12935698,255621973,32322966,41136950,51320917,63000152,75982954,89761634,103865085,118009824,261376139,145096636,262416923,168994095,179280137,188330639,179677848,169448455,158034645,145631583,132383195,118540673,104353955,258157038,63336461,51612272,41386176,32535643,24890500,18390418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070401, s2 = 2335571, dlinesl.size( ) = 2 s1 = 14070401, s2 = 2335571, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14070401, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6502577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6502577, s2 = 101683, int(edited[s2]) = 0 s1 = 6502577, s2 = 101683, d1 = 5, d2 = 2 Dl.O(d1) = 255294838 Dl.O(d2) = 2263120,2263124,2263126,2263127,2262985,2262988,3777937,6038866,9221912,13480597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6502577, s2 = 101683, dlinesl.size( ) = 12 s1 = 10999546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10999546, s2 = 1356322, int(edited[s2]) = 0 s1 = 10999546, s2 = 1356322, d1 = 37, d2 = 25 Dl.O(d1) = 9405055,12956085,8816383,254894779,18259464,256080471 Dl.O(d2) = 36629749,46496446,57852281,70553657,84090160,79148894,65793996,53738067,43226008,34137874,26271123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10999546, s2 = 1356322, dlinesl.size( ) = 2 s1 = 10999546, s2 = 1356322, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10999546, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 366483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 512252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6628378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6628378, s2 = 512601, int(edited[s2]) = 0 s1 = 6628378, s2 = 512601, d1 = 11, d2 = 7 Dl.O(d1) = 256697822,18394370,13065222 Dl.O(d2) = 13065224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6628378, s2 = 512601, dlinesl.size( ) = 14 s1 = 1292772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1292772, s2 = 1108711, int(edited[s2]) = 0 s1 = 1292772, s2 = 1108711, d1 = 8, d2 = 5 Dl.O(d1) = 32591533,255633545 Dl.O(d2) = 28594058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1292772, s2 = 1108711, dlinesl.size( ) = 2 s1 = 1292772, s2 = 1108711, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1292772, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 2342824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13501425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13501425, s2 = 14308273, int(edited[s2]) = 0 s1 = 13501425, s2 = 14308273, d1 = 32, d2 = 27 Dl.O(d1) = 43208165,43208166,53720072,53721126,53721125,65777965,79132838,259101245,93248405,79132845,257854343,53721128,65777969,53721204,256180972,26256744,19538387,19538386,26257051,34122356,43209672,53721592,65778043,269565928,43209320,53721198,258471801,79132805,65778052,257260145,256180957,19538120,19538121,268319282,255711298,34122362,43209679,53721596,65778028,65778027,257854335,34121907,26256637,26256636,34121905,43209177,53721043,65776881,53720045,43209220,34122012,34122010,269135309,53721083,53721084,53721118,257854339,257854221,43208138,34120865,26255744,19537837,13989621,13989620,19537826,13989611,13989610,19537418,26255844,34120991,26256007,19537531,13989389,9610156,6312160,267940479,254953727,6312097,3956044,2369060,2369062,254460943,6312148,6312147,6312467,3956307,3956303,3956302,2369248,1371518,780715,780716,1371447,1371448,1371427,1371426,1371521,1371525,780719,780718,1371523,2369256,3956133,2369145,1371456,1371457,254309769,1371187,780504,442540,442539,249307,249306,442607,442659,442658,780707,1371505,2369217,3956252,254674259,8904328,5810471,5810472,254900245,18397318,24900240,32549685,24900296,18397381,18397380,24389711,31922577,24900286,18397369,18397368,24900284,24949900,255634869,13093811,8922823,8922824,13093792,13093791,18434155,24949790,25330479,18750606,18750607,18434275,13093896,8922875,8922874,13093894,17957338,24349727,18433998,18433997,24949617,32615276,41495885,51767426,51767527,48054184,38140624 Dl.O(d2) = 65772560,258098914,259965896,112942866,98953610,85028537,71456438,58726123,58726124,71456441,85028539,258098932,126796871,140147020,152841153,154062082,141387448,272567167,140147021,140147020,152841153,154062082,141387448,128018509,114128795,100094197,258098942,100094216,100094217,114128820,128018551,141387491,152841143,164677325,175435311,177409459,261143242,152841153,154062082,141387448,128018509,114128795,100094197,258098942,100094216,100094217,114128820,128018551,141387491,152841143,164677325,175435311,176488657,176488658,166862878,155170757,142527194,142527195,140146963,140146965,152841110,259986176,113954905,99932163,99932164,113954907,112942908,112942907,126796869,126796871,140147020,152841153,154062082,141387448,128018509,114128795,100094197,258098942,100094216,100094217,114128820,128018551,141387491,152841143,164677325,175435311,177409459,175435328,261163164,260566024,141387495,141387494,154062115,165832333,155170761,142527202,271792432,101142872,87144554,73525493,60777242,49375694,49375695,60777244,73525496,87144558,101142876,115220072,129150929,141196076,141196074,153871069,151692315,260586190,127834151,127834152,125650713,111835552,97902375,260480239,125650722,111835562,111835563,111835557,111835558,97902402,84032629,258357778,46442044,46442045,57797170,70497879,84032632,259611846,258154289,59854626,72592228,86189746,100152598,89359055,75597867,62655684,62655683,75597865,259316894,72368117,72368116,85962924,99920589,102146343,102146344,102146341,102146342,116207419,103454296,100152596,86189745,86189744,260020945,128069883,261474144,130118543,116207417,260736845,260908920,116207416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13501425, s2 = 14308273, dlinesl.size( ) = 8 s1 = 6530806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6530806, s2 = 11105403, int(edited[s2]) = 0 s1 = 6530806, s2 = 11105403, d1 = 58, d2 = 62 Dl.O(d1) = 255636123 Dl.O(d2) = 259790297 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 202411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 202411, s2 = 13469610, int(edited[s2]) = 0 s1 = 202411, s2 = 13469610, d1 = 25, d2 = 31 Dl.O(d1) = 4812676,4812678,3698037,3698039,5915128,8953226 Dl.O(d2) = 29428810,29428811,37990797,268102702,23865725,31359767,40039770,50059257,61537561,58133976,58133977,70848356,70848359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 202411, s2 = 13469610, dlinesl.size( ) = 2 s1 = 202411, s2 = 13469610, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 202411, Dl.E( ) = 80, 3.1e-05 seconds used appending s1 = 7820900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8045600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8045600, s2 = 723895, int(edited[s2]) = 0 s1 = 8045600, s2 = 723895, d1 = 20, d2 = 18 Dl.O(d1) = 257167894,255639089,8958709,5847548,267921733 Dl.O(d2) = 8958710,13144434,18501175,256099789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8045600, s2 = 723895, dlinesl.size( ) = 2 s1 = 8045600, s2 = 723895, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8045600, Dl.E( ) = 22, 2.19e-05 seconds used appending s1 = 13165619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7977984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16115117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14496081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9383241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9383241, s2 = 362992, int(edited[s2]) = 0 s1 = 9383241, s2 = 362992, d1 = 0, d2 = 0 Dl.O(d1) = 25342897,18762496,13360474,9130884,5975335,3736863,3736864,4979576,3007962,3007963,254555717 Dl.O(d2) = 25342897,18762496,13360474,9130884,5975335,3736863,3736864,4979576,3007962,3007963,254555717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9383241, s2 = 362992, dlinesl.size( ) = 2 s1 = 9383241, s2 = 362992, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9383241, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 461215, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 740947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 247190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1322273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15437847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15437847, s2 = 14871308, int(edited[s2]) = 0 s1 = 15437847, s2 = 14871308, d1 = 14, d2 = 30 Dl.O(d1) = 33314984 Dl.O(d2) = 254142715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15437847, s2 = 14871308, dlinesl.size( ) = 2 s1 = 15437847, s2 = 14871308, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15437847, Dl.E( ) = 50, 1.41e-05 seconds used appending s1 = 6440637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6440637, s2 = 1326819, int(edited[s2]) = 0 s1 = 6440637, s2 = 1326819, d1 = 23, d2 = 10 Dl.O(d1) = 254448391 Dl.O(d2) = 33351036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6440637, s2 = 1326819, dlinesl.size( ) = 26 s1 = 6534521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11134184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 536143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 536143, s2 = 750056, int(edited[s2]) = 0 s1 = 536143, s2 = 750056, d1 = 13, d2 = 14 Dl.O(d1) = 13633213 Dl.O(d2) = 19085595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 536143, s2 = 750056, dlinesl.size( ) = 2 s1 = 536143, s2 = 750056, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 536143, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 537183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 538055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13188217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13188217, s2 = 4659708, int(edited[s2]) = 0 s1 = 13188217, s2 = 4659708, d1 = 75, d2 = 47 Dl.O(d1) = 4978475,3007376,1747112,1747113,3007385,4978495,7842891,267969792,6062502,3793138,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794862,5939710,9081670,10570023,10564091,8371139,5402592,5402593,8371141,9242980,6053616,3788165,3788167,6053624,9242999,6059642,6059644,7722310,11600546,254813638,254963009,4022278,3288879,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426327,23752130,17426663,14178470,14178471,19794317,16920704,16920703,23186899,27211876,26610813,19802941,14184735,9751168,6411586,6411585,9751164,14184728,19801351,14183533,9750389,9750388,14183527,19801344,15821940,15821942,21901486,17424725,17424724,17426415,17424690,12281480,8294331,8294330,255073184,23186540,23186541,30605741,37939415,29373235,29373234,36994472,28496982,21279526,21279527,254234426,27210948,20282722,20282721,254349096,14553233,10013855,6581597,4123607,4123606,254349221,2794191,4639029,7344712,11076548,15959593,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,7707274,11579138,13173826,8980269,8980267,13173819,18540456,25084665,32782104,29634129,29634128,38200934,255070702,23318800,17054254,254234236,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,3013230,1750263,1750264,3013193,2303824,2303827,3844801,6144527,9379519 Dl.O(d2) = 187431626,195457278,202321126,208090746,212847478,216736282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13188217, s2 = 4659708, dlinesl.size( ) = 36 s1 = 7968156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7968156, s2 = 12110513, int(edited[s2]) = 0 s1 = 7968156, s2 = 12110513, d1 = 17, d2 = 15 Dl.O(d1) = 254198854,13935074,13935073,267776604,34012926,43070718,46948290,37068834,28566746,21339549,21339550,28566750,37035812,46913059,58278277,70992905,84556248,89963095,76154470,63145963,63145965,268470578,58315119,46948298,37068841,37068842,44810057,55716500,58328768,268546752,28576587,21347644,15372144,15372147,21347649,28576590,37080643,37836851,47759320,268702242,62081136,50588687,40552415,31853906,24333585,254733844,12715819,15454614,19446432,19446431,17944749,12715827,8639947,8639948,12715829,17944752,15402362,10645833,8739621,5689646,254625891,255218807,18772299,13368275,9136371,9136370,254775362,18295122,18295121,19181288,19181289,13697884,9381354,6145957,6145956,9381349 Dl.O(d2) = 4132644,2472127,1429025,1429026,2472129,4132649,6596507,10037691,12796770,12796769,12796397,8699994,8699993,6596570,6596571,6596718,6596719,10037971,11124935,7378928,4661706,2808454,2808455,4661709,4661641,4661629,2808410,1629228,926421,522180,522179,926417,1429039,812992,812994,1429067,2472208,4132781,254319209,2472156,4132692,6596584,10037791,10037655,6596482,4132630,4132631,4661586,254523989,7378814,8700004,5662910,3521996,3521995,5662907,8700001,11124887,7378890,7378891,255075897,14588113,10037955,6596706,4132765,2472199,254476599,254987185,16022546,255451027,22139839,16022721,16022720,14207216,14207215,19832235,19832234,20327289,27261479,26902510,20019860,16022690,11124900,7378899,4661685,4661686,7378902,11124904,14207331,9766766,6421483,6421484,9766729,14207297,19832645,19832528,14207159,14207084,11124845,11124846,14206605,9766217,9766216,14206602,9766570,9766571,7378866,4661665,2808427,1629238,1629236,2808424,4028508,6421465,9766445,6421289,6421291,9766450,14206905,19832239,19832210,14206874,9766434,6421285,6421284,9766430,14206887,11124821,11124820,16022595,22139713,26645395,255315435,9766371,6421251,6421252,9766375,14206803,19832111,14207143,14207142,19832513,18050601,12796388,8699986,8699987,10634074,7019742,7019741,10634070,14206710,9766289,6421197,4028372,2413940,1397297,1397296,2413948,4028389,6421244,9766356,7378845,4661652,4661650,7378840,11124802,16022575,19831921,14206617,9766441,6421287,6421286,9766438,14206895,18048682,19832082,22139721,19832286,14206964,9766492,9766494,14206967,9766617,9766616,11124816,7378848,7378847,11124813,16022586,14206684,254891800,14207047,10634069,9766291,6421199,4028362,2413937,1397289,1397290,2413939,4028367,6421206,9766304,14206724,14207135,14207132,255728781,9766480,9766479,9766555,14206610,9766557,9766558,14206731,18050606,18050605,14206743,9766321,6421219,6421218,9766319,14206698,14206699,14206940,11124809,11124810,16022582,14206642,9766236,6421166,4028344,4028343,6421160,6421392,4028464,4028463,6421230,4028382,4028381,6421192,4028358,2413935,2413934,4028353,6421185,9766274,7044872,7044871,9766605,9766604,9766481,254964535,19832276,24470737,24470736,32033109,40790108,34636610,26645349,19832057,19832056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7968156, s2 = 12110513, dlinesl.size( ) = 2 s1 = 7968156, s2 = 12110513, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7968156, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 539542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 539734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100186, s2 = 13330416, int(edited[s2]) = 0 s1 = 11100186, s2 = 13330416, d1 = 9, d2 = 30 Dl.O(d1) = 133766821 Dl.O(d2) = 52699833,52699834,53160007,42710366,33680471,25874370,25874368,25874369,33680463,42710363,53160002,46481047,36614669,256284715,20962804,20962803,28140953,33270471,25509831,25509828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100186, s2 = 13330416, dlinesl.size( ) = 2 s1 = 11100186, s2 = 13330416, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11100186, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 10143618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7954457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7954457, s2 = 2452553, int(edited[s2]) = 0 s1 = 7954457, s2 = 2452553, d1 = 27, d2 = 19 Dl.O(d1) = 13623732,254666750,9464253 Dl.O(d2) = 70302065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7954457, s2 = 2452553, dlinesl.size( ) = 2 s1 = 7954457, s2 = 2452553, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7954457, Dl.E( ) = 30, 3.1e-05 seconds used appending s1 = 6496490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6496490, s2 = 6568248, int(edited[s2]) = 0 s1 = 6496490, s2 = 6568248, d1 = 52, d2 = 76 Dl.O(d1) = 255226316 Dl.O(d2) = 256054540,31574014,25358456,18776063,13371704,13371705,18776065,25358458,29212334,37774275,29636276,22284572,16141196,16141195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6496490, s2 = 6568248, dlinesl.size( ) = 46 s1 = 6502296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6502296, s2 = 8717647, int(edited[s2]) = 0 s1 = 6502296, s2 = 8717647, d1 = 36, d2 = 31 Dl.O(d1) = 255292199,9491059,6224380,6224379,9491058 Dl.O(d2) = 160642139,263382001,263752646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6502296, s2 = 8717647, dlinesl.size( ) = 2 s1 = 6502296, s2 = 8717647, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6502296, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 8270572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8270572, s2 = 9125393, int(edited[s2]) = 0 s1 = 8270572, s2 = 9125393, d1 = 14, d2 = 16 Dl.O(d1) = 81259899,95319940,84983628,84983627,98909003,257195102,258399914,259654386,162701758,261435570,261466128,260306496,79308719,79308718,73082516,60342720,48945760,39022701,30433041,23026819,16784813,16784814,23026821,29753368,254449704,25701439,25701440,26161470,19461464,13927499,9559408,6272471,6272470,9559376,13927434,13927197,9559253,9559252 Dl.O(d2) = 43060956,53540186,58078417,269090548,43958178,43958179,47683764,37761597,37761598,47683765,59083540,71824575,85409925,71821471,71521590,58791978,58791979,71521593,80391753,66961470,54702193,43958177,43958176,54702191,48332039,257457222,268999300,121808241,125714488,111896927,111896928,125714490,139053524,257780446,98706162,84778210,71209501,58487828,47109762,47109761,257846319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8270572, s2 = 9125393, dlinesl.size( ) = 8 s1 = 7856103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7856103, s2 = 13364042, int(edited[s2]) = 0 s1 = 7856103, s2 = 13364042, d1 = 76, d2 = 11 Dl.O(d1) = 6296473,3944186,254459943 Dl.O(d2) = 38942402,38942388,38942387,48862036,60254830,60844232,49442306,39510814,30902685,30356119,30356115,38942419,38627090,31592721,31592720,40277049,48040865,38942283,30356013,30356012,38942281,38942425,38942426,48861938,38942298,36517261,36517262,46376441,47391430,47391429,40502547,40502485,254457422,17910581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7856103, s2 = 13364042, dlinesl.size( ) = 2 s1 = 7856103, s2 = 13364042, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7856103, Dl.E( ) = 78, 2.41e-05 seconds used appending s1 = 14074943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 550672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028144, s2 = 1029806, int(edited[s2]) = 0 s1 = 11028144, s2 = 1029806, d1 = 34, d2 = 0 Dl.O(d1) = 23376470,17106746,12020796,8080352,5175853,3157161,3157160,5175850,8080347,12020780,17106716,22458198,22458200,23095173,21077279,21077277,16272354,16272355,22440157,25269018,18697179,15800170,15800171,21875236,21774682,21774683,29072607,26373330,19640020,14076367,254912227,9085808,9681486 Dl.O(d2) = 9522641,13880441,19403695,26093008,33926200,33926198,33926197,42979624,53453699,53453706,53453707,65473406,78803377,78803376,78607326,78607325,78803374,65473397,53453700,53453699,65473395,65473398,65473399,78803375,65473403,53453704,42979627,42979628,53453707,65473406,78803377,78803376,78607326,65308681,53309275,42846778,33806083,25990057,19319191,19319192,25990058,22211754,17593229,17593230,18747003,254909568,13346802,18747049,25326053,20351105,14607700,10051554,10051556,14607702,14960059,14960061,15644874,21684143,20895864,14991911,10323020,10323021,14606140,10053322,10053321,14610395,20349796,14606497,14606498,20349798,20342740,20342739,27278437,35404417,44829999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028144, s2 = 1029806, dlinesl.size( ) = 2 s1 = 11028144, s2 = 1029806, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11028144, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 1381646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7582818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7582818, s2 = 11413514, int(edited[s2]) = 0 s1 = 7582818, s2 = 11413514, d1 = 53, d2 = 57 Dl.O(d1) = 268459108,18299894,268124546,24780796,32404970,33174458,25431796,18837465,13421238,13421237,18837460,25431791,33174451,36735390,28240353,28240350,26428901,19691227,14118582,9713595 Dl.O(d2) = 109432392,123625863,137358078,150399339,150399340,162529671,173562563,183358974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7582818, s2 = 11413514, dlinesl.size( ) = 2 s1 = 7582818, s2 = 11413514, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7582818, Dl.E( ) = 72, 2.69e-05 seconds used appending s1 = 1346768, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6736880, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8167933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16226513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16226513, s2 = 14034810, int(edited[s2]) = 0 s1 = 16226513, s2 = 14034810, d1 = 30, d2 = 23 Dl.O(d1) = 60591947,60591948,70929495,58212230,46844160,256309127,21244164,15277296,10543472,254495431,2617635,1511360,1511359,2617634,4369015,6953339,10543470,15277295,255819651,36965280,46844156,58212226,258660871,98415352 Dl.O(d2) = 255733421,14245820,9792940,9792941,9780978,6430776,4034395,4034396,2418518,2418516,4035904,6433444,9785423,14234547,9785395,6437609,4038255,2419785,2419784,4038251,6437600,9775098,6427257,6427258,9775099,6432082,6427227,4032333,4032334,6427231,9775058,9948055,14459488,20155849,26674508,20915609,20915610,28089229,34203207,26675097,19857867,15743385,10996229,10996228,15865347,15970396,11085366,9783348,6432084,6432085,6436974,9791310,14243318,19879221,26695467,24827855,255473396,21485852,15481606,13188524,13188525,15034498,15034495,20942984,28120305,36593382,46459564,57815645,70516971,84052069,97922751,97922750,97922757,111856953,258272296,101028076,87031740,256027176,60666828,49266471,39340523,39340522,49266469,60666826,60849512,59053338,254857406,29169990,29169978,21860553,254860682,31484064,31484063,28243735,28243734,36738953,46627038,36739180,28243915,28243916,36739181,31474927,31474926,40159332,41164881,41164903,50185560,40161143,31476632,31476634,28017664,20851499,20851501,28017671,36478712,46334456,39442537,39442535,38774208,30190480,255184496,48696448,50195018,40171169,36740173,36740174,33965277,28244336,21044962,21044964,28244341,21046265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16226513, s2 = 14034810, dlinesl.size( ) = 2 s1 = 16226513, s2 = 14034810, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16226513, Dl.E( ) = 34, 1.22e-05 seconds used appending s1 = 389158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 389158, s2 = 14487339, int(edited[s2]) = 0 s1 = 389158, s2 = 14487339, d1 = 1, d2 = 13 Dl.O(d1) = 9850554,6470220,6470221,9850555,9850556,9850557 Dl.O(d2) = 26902455,20019812,20019811,267816920,254152096,2426786,1403871,798929,452844,452845,798931,1403874,2416480,1398932,1398931,2416478,4032190,6426960,254093728,4053953,4053952,5864112,5864113,8982212,13177003,254112086,21620935,21620936,28896458,254639346,18746706,18746708,25233482,18664620,18664621,18663309,13271537,13271536,18663307,19613195,14255961,14255960,19899039,14254844,9797895,6440676,6440675,9797888,14254832,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,2920639,2920635,4846934,7660781,11516457,16524461,21619295,15589101,15589104,20886662,21630795,15599733,10791640,10791644,14936382,17864505,23890276,20914804,20914805,15023006,15023005,20802699,16525481,16525484,15071929,15071925,254909360,11510439,11510438,16516354,16525034,22730311,20347631,17980329,12742752,8659733,8659729,9352970,6126239,3833027,3833026,6126236,9352963,9550485,6266445,3923394,2348756,2348757,3923396,6266450,4488612,4488613,7129913,10791791,11516662,7660899,4846996,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135008,4488732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 389158, s2 = 14487339, dlinesl.size( ) = 2 s1 = 389158, s2 = 14487339, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 389158, Dl.E( ) = 18, 1.31e-05 seconds used appending s1 = 11064676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15411116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2094467, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 562469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 562469, s2 = 8818899, int(edited[s2]) = 0 s1 = 562469, s2 = 8818899, d1 = 57, d2 = 54 Dl.O(d1) = 14426716,9923888,6522360,4086714,4086717,6522366,9923902,14426744,14425093,9922860,9922862,14425098,20114470,20116735 Dl.O(d2) = 221481512,223955234,226096938,227962425,266031380,228148184,274363150,221721682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 562469, s2 = 8818899, dlinesl.size( ) = 14 s1 = 7965901, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16267335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16267335, s2 = 11284464, int(edited[s2]) = 0 s1 = 16267335, s2 = 11284464, d1 = 16, d2 = 14 Dl.O(d1) = 17813122,12611316,12611315,17422825,12280057,8293354,5350386,3288366,1933787,1104561 Dl.O(d2) = 115760737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16267335, s2 = 11284464, dlinesl.size( ) = 12 s1 = 392787, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10989686, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 564576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 235022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 569740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 569740, s2 = 11151614, int(edited[s2]) = 0 s1 = 569740, s2 = 11151614, d1 = 13, d2 = 86 Dl.O(d1) = 14591381 Dl.O(d2) = 269833092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 569740, s2 = 11151614, dlinesl.size( ) = 64 s1 = 7922545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14026268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14854682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15403921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15403921, s2 = 13298978, int(edited[s2]) = 0 s1 = 15403921, s2 = 13298978, d1 = 1, d2 = 1 Dl.O(d1) = 40031005,50051313,61530758,74308329,87912214,97754223,258621997,57680797,46333912,36478225,255785173,14950797,10284894,254910482,20851184,254641642,33246708,36462871,28004069,20839415,14940105,10275337,10275339,14940112,16776887,11729869,11729870,16776891,254321904,14926443,20340904,20340902,25252057,32974729,254911488,25241104,25241103,32962606,255359996,256271706,91142387,105361509,119593374,111764037,97838409,83976410,70448488,57753403,46402514,36541263,28073636,20901714,255003205,6795984,4261264,4261263,6795982,6842626,6842627,8600147,12664613,11906618,11906617,16992218,22198089,22199285,22199343,16070268,16069131,11158366,8220077,7401382,4675607,254525533,11158796,8220203,8220204,12189895,11967988,11831524,7906862,7400740,7400739,7986362,5082814,5082815,7986364,7401351,4675587,4675588,7401353,8220210,12189913,12189792,8220109,5290125,3241651,1902190,1085841,609738,339217,339218,609743,1085858,1902222,3241704,5290180,5290183,8220183,11157404,11157403,8296114,5351957,5351956,8296109,12284407,17428896,16068540,11157451,11157446,16068529,22197496,22197428,16068458 Dl.O(d2) = 40031005,50051313,61530758,74308329,87912214,97754223,258621997,57680797,46333912,36478225,255785173,14950797,10284894,254910482,20851184,254641642,33246708,36462871,28004069,20839415,14940105,10275337,10275339,14940112,16776887,11729869,11729870,16776891,254321904,14926443,20340904,20340902,25252057,32974729,254911488,25241104,25241103,32962606,255359996,256271706,91142387,105361509,119593374,111764037,97838409,83976410,70448488,57753403,46402514,36541263,28073636,20901714,255003205,6795984,4261264,4261263,6795982,6842626,6842627,8600147,12664613,11906618,11906617,16992218,22198089,22199285,22199343,16070268,16069131,11158366,8220077,7401382,4675607,254525533,11158796,8220203,8220204,12189895,11967988,11831524,7906862,7400740,7400739,7986362,5082814,5082815,7986364,7401351,4675587,4675588,7401353,8220210,12189913,12189792,8220109,5290125,3241651,1902190,1085841,609738,339217,339218,609743,1085858,1902222,3241704,5290180,5290183,8220183,11157404,11157403,8296114,5351957,5351956,8296109,12284407,17428896,16068540,11157451,11157446,16068529,22197496,22197428,16068458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15403921, s2 = 13298978, dlinesl.size( ) = 2 s1 = 15403921, s2 = 13298978, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15403921, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6507343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1236103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1236103, s2 = 16291823, int(edited[s2]) = 0 s1 = 1236103, s2 = 16291823, d1 = 12, d2 = 15 Dl.O(d1) = 39883244,31203340,28278906,21074530,20881791,14979546,12400079,8380173,8380176,9767717,9767720,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405567,8280980,8280969,8005582,5096516,5096514,8005574,11958944,12246547,8271281,254727462,12400710,12400711,17408100,12268092,12268093,17408101,23732626,31217004,39894259 Dl.O(d2) = 258841132,59246984,47850263,37930053,29363269,22032432,15931021,11054225,11054183,10349509,6814477,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711116,2950371,4895603,7732903,255112983,7688229,4865063,2956879,2956880,4905914,7747122,9854209,9854208,14343153,16571562,11552571,7686626,7686625,7613480,7613482,11447800,16417037,16412121,11427858,11427859,7616777,7595554,4804592,2895719,1680367,955820,955821,1680371,2895730,4804604,2897593,1681314,1681315,2897596,2897875,4808302,7600699,267894065,2904130,1684652,1684653,2904134,4819179,7616788,11451414,11452307,11452309,11452643,16437987,16410014,16410015,22593170,29957594,256404276,48430347,257526532,72551340,86149516,100115384,114148923,128037994,141406702,154081083,154081084,165851231,165851232,176507342,273353646,201198753,203230487,203230489,208824413,208824407,264608783,203230485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1236103, s2 = 16291823, dlinesl.size( ) = 2 s1 = 1236103, s2 = 16291823, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1236103, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 576279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13235241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16125136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16125136, s2 = 6094504, int(edited[s2]) = 0 s1 = 16125136, s2 = 6094504, d1 = 233, d2 = 117 Dl.O(d1) = 232391952,232391953,266310345,232391956,231089423,229637094,265968725,226140403,224001269,221532495,218652307,215230894,211077794,205996595,205996596,211077796,211077797,205996598,263834907,184130787 Dl.O(d2) = 241510546 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 403734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9067443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16175987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6458056, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15133747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15133747, s2 = 6612835, int(edited[s2]) = 0 s1 = 15133747, s2 = 6612835, d1 = 37, d2 = 71 Dl.O(d1) = 265169114 Dl.O(d2) = 19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464861,26464859,34358871,39554039,43823607,34555304,34555305,43823616,51379190,51839745,55160133,55160136,67501563,79871055,93960909,97630790,97630789,109167468,259216218,101496423,260693163,142741271,258607930,122472101,122472100,123298541,122652800,257944414,79865464,66464609,66464610,258007684,74519733,61738064,50259672,256538481,31554294,40240344,50259619,256063992,19682558,268271454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15133747, s2 = 6612835, dlinesl.size( ) = 22 s1 = 8063545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9091452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6509087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6509087, s2 = 11002984, int(edited[s2]) = 0 s1 = 6509087, s2 = 11002984, d1 = 86, d2 = 114 Dl.O(d1) = 255381310,12072727,12072728,17170086,20311377,27242155,35365463,37023662,28525720,21303848,20311452,14576488,14576487,10421142,10421143,15108771,21035063,255012882,15147140,21087287,28294344,28242903,21043892,15115655 Dl.O(d2) = 4039864,2705291,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920657,9920634,9920635,9757229,9757183,6415629,4025050,4025049,5208430,3177665,3177664,5208424,8129545,12088803,16732550,22968396,24681343,23294620,17034907,11949377,7998872,7998871,11949374,17034899,23294612,22465388,19501405,19501404,26214921,34075657,43159447,38404457,254705148,20259917,14536099,14536098,14607827,20351226,267928200,14936497,13814650,9474078,9474079,13814653,14586610,10036807,10036806,14586608,20325486,254481042,9339032,6117190,3827352,2292970,2292969,3827347,6117175,9339004,11339083,14611048,14611046,14611072,10053805,6606168,4138078,2475091,1430562,1430563,2475099,2474736,2474737,4137358,6604743,10051207,10046720,10046719,10048739,10048741,10391337,10391339,13637791,16520239,17497829,14611835,14611836,10274606,10053457,6605962,6605963,6753009,4231531,4231532,3816529,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953376,3320880,5401236,8368986,8659594,11507888,11507889,14958044,11509903,11509902,10954562,7250369,7250368,10954554,15808450,14216793,9773709,9773711,8380361,5408256,5408257,8380352,11539239,7676960,4857611,2927331,1698040,965538,544061,544063,965545,1698056,2927361,4857674,7125488,7125490,10784240,7171271,7171273,7436986,7436988,10246302,10396959,15074035,15244490,15051317,10377462,6838013,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6811495,6811494,8792431,7770330,7770331,11659009,16698358,22933135,30333891,38920225,44070565,38920227,38920228,48840667,48840665,254999138,22933129,22933128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6509087, s2 = 11002984, dlinesl.size( ) = 2 s1 = 6509087, s2 = 11002984, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6509087, Dl.E( ) = 120, 4.7e-05 seconds used appending s1 = 14862383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 43356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 43356, s2 = 2409051, int(edited[s2]) = 0 s1 = 43356, s2 = 2409051, d1 = 9, d2 = 5 Dl.O(d1) = 845060,845061,1492344,2588774,4327264,6892393,6892394,10456278 Dl.O(d2) = 65753012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 43356, s2 = 2409051, dlinesl.size( ) = 2 s1 = 43356, s2 = 2409051, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 43356, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 15103585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16300381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16300381, s2 = 8084693, int(edited[s2]) = 0 s1 = 16300381, s2 = 8084693, d1 = 44, d2 = 43 Dl.O(d1) = 18880353,25482857,33231479,42191685,42191683,42191682,52550382,64424475,77593156,91524172,94444663,80385921,66956416,54697581,43953711,34678964,26685195,19866584,19866530,19866531,19866548,19866549,256204843,43953645,54697511,46307587,36454678,27996263 Dl.O(d2) = 139474478,126102489,112246390,98266734,84358278,70799707,58082989,46711479,36829032,254937188,15173532,10464756,6897982,4330076,4330077,6897986,10464763,15173544,21121246,23207430,30630374,39228261,49154509,258203439,86906881,100886947,100886946,114938706,128838052,261449408,271658842,259160626,67654797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16300381, s2 = 8084693, dlinesl.size( ) = 2 s1 = 16300381, s2 = 8084693, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16300381, Dl.E( ) = 46, 1.81e-05 seconds used appending s1 = 1612396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14056975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056975, s2 = 14056285, int(edited[s2]) = 0 s1 = 14056975, s2 = 14056285, d1 = 6, d2 = 25 Dl.O(d1) = 36896427 Dl.O(d2) = 38246814,31575827,31575828,40262928,32150018,24566689,18126619,12853380,12853379,18126617,24566684,19186833,13702711,13702710,19186831,25840413,33643671,34563136,34563137,43835908,39500635,30893411,30893409,268225474,19774329,26576754,25888664,25888665,19775610,19775611,26578370,26124074,26124072,33962126,34563624,30767557,30767556,34572189,29910403,26576054,19773779,14163526,9737523,6403384,4017587,2407476,1393051,792187,448611,448612,792189,1393056,2407483,4017601,6403420,9737604,14163675,19774031,26576386,26576385,30770773,23347645,17174860,17174859,23451511,268429243,23347879,23347878,30771050,39371603,49296096,39368703,39368704,37432634,37432633,36834187,36834188,31293023,23807447,17474434,12320043,8321579,8321577,12320039,17474422,20308848,20308849,17174608,17174607,23164351,17080299,17080298,22869325,16641450,16641445,22869311,28366751,21150337,15204586,15204585,16901689,23164110,19679758,19679639,15889628,15889631,21985939,26415888,26577877,29254273,28835821,28835824,21985699,21547957,15530043,15530044,21364041,21364039,21042832,21042830,28241636,31802959,26415811,21568089,15545901,10751796,10751795,15545897,21568082,28839572,30581970,23164280,16901793,16901744,268422929,255071978,53840543,43316738,34219147,26345429,19616446,14057132,9666160,6356248,3988044,3988043,6356247,9666157,14057128,19616445,24507727,18079135,12817601,255215655,24507729,25279982,18707275,13314013,255249119,9080662,9080665,13299109,17170459,23445507,256488999,49409740,60809978,73556085,87173602,101170778,115247746,129178100,142554103,155197271,166888525,177432883,186745094,194854821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056975, s2 = 14056285, dlinesl.size( ) = 2 s1 = 14056975, s2 = 14056285, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14056975, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 587017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 587017, s2 = 1271732, int(edited[s2]) = 0 s1 = 587017, s2 = 1271732, d1 = 1, d2 = 38 Dl.O(d1) = 15219506 Dl.O(d2) = 116790302,260767131,130615131,116790301,259555647,75037436,62214482,50694585,40635438,31919814,24387224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 587017, s2 = 1271732, dlinesl.size( ) = 2 s1 = 587017, s2 = 1271732, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 587017, Dl.E( ) = 46, 1.69e-05 seconds used appending s1 = 16212918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16212918, s2 = 10143619, int(edited[s2]) = 0 s1 = 16212918, s2 = 10143619, d1 = 13, d2 = 10 Dl.O(d1) = 49203514,258207205,86961103,100944922,114999052,106722358,92416735,78379374,65095503,53108668,42656841,255919892,53108670,65095505,78379375,92416736,106722360,120974528,134770982,260016710,261194408,162189230,272238292,123017518,108748560,94455357,80396007,66965774,54706730,43962959,34687707,255966758,19873326,15970388,11085362,11085361,15742232,19868547,14235166,14235165,14232765,9783982,6432443,6432444,9783987,9780401,9780399,14227049,9780437,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035151,6432214,9783575,6436060,6436061,9789852,14241185,19870626,26676963,19859438,14228168,14228167,19859435,18729461,18729462,25304866,32411513,24786553,18304524,12993242,12993243,18304526,19022806,268752273,64708891,77897414,91818700,100884386,86904274,73293933,60550761,49151371,39224754,39224755,30626955,23204428,23204429,30626953,39224752,49151370,60550758,270353575,100884384,95593669,259000004,68070186,55670989,44761170,44761169,55670988,258550853,62737741,51106826,40964847,32185543,24598437,255615222,40964846,41847361,38193839,29626886,22275243,22275244,29626888,38193843,41847364,41847365,254428384,39302770,38609522,38609521,48524940,47669347,46670956,36784843,28288424,28288425,32185548,32185550,38142665,37747633,37747632,41223614,40497579,40497578,44788092,257931959,81582812,95617121,104772215,90600073 Dl.O(d2) = 257752707,256610675,24993822,18469904,13121706,13121705,18469901,24993818,32669905,36921604,28423348,21200298,15235382,10510028,6930610,4354475,2608303,1505399,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,17959536,12726774,12726775,17959543,24352595,31877540,28423344,28423343,33769892,26616525,19807610,19807611,19296920,19296921,25962650,24149888,24149889,28423942,31780174,24267633,17888814,12671052,8604938,8604937,12671047,17888807,24267625,25961912,25961910,33769898,25960975,25960974,28422910,21199978,19295806,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,17456115,23787068,20305003,20305006,21276167,28493045,31660341,24149914,24149915,25962639,19807617,19807616,26616534,31877519,24352581,24352582,31660346,40355303,44781206,35357128,31780121,24267599,24267600,31780126,36920854,31976643,24424038,18011823,18011634,12764815,8675344,5644293,5644294,8675346,12764817,18010915,24423005,256566621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16212918, s2 = 10143619, dlinesl.size( ) = 2 s1 = 16212918, s2 = 10143619, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16212918, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6560569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6560569, s2 = 387187, int(edited[s2]) = 0 s1 = 6560569, s2 = 387187, d1 = 9, d2 = 6 Dl.O(d1) = 255973083,10563121,10563122 Dl.O(d2) = 9767561,9767562,8115130,5198994,5194512,3169516,3169048,3169046,5193540,8105998,255150419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6560569, s2 = 387187, dlinesl.size( ) = 14 s1 = 2138566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2138566, s2 = 13262105, int(edited[s2]) = 0 s1 = 2138566, s2 = 13262105, d1 = 27, d2 = 38 Dl.O(d1) = 58254185,58254186,58254047,46887106,37296727,28763471,22489249,16316363,11351841,11351842,10584350,10584349,10584173,10584174,6982231,6982232,10584317,10584135,6982130,4387019,4387017,6982125,10584128 Dl.O(d2) = 23423269,17146189,17146191,23423273,30854014,23942755,17598087,17598088,23942758,28995109,21710649,21710651,23224844,23224843,16951514,11864059,7929023,5040449,3051594,3051595,5040453,7929030,11864072,16951539,17598485,17598486,22033756,15932346,15932347,22033761,29364328,23944061,17599223,17599227,17599201,17599202,21710647,16598753,16598754,22818062,24058511,17703590,17703589,17703595,22817986,17597692,17597691,23284175,30699833,39297429,31433246,31433245,31564420,30209894,22817960,22817959,23943501,31434487,31564402,30210003,22818069,16598759,11576445,7705480,7705479,11576444,16598757,22818065,27962787,20800715,20800716,17703569,17703568,255324144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2138566, s2 = 13262105, dlinesl.size( ) = 2 s1 = 2138566, s2 = 13262105, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2138566, Dl.E( ) = 96, 4.48e-05 seconds used appending s1 = 591748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 591748, s2 = 13197338, int(edited[s2]) = 0 s1 = 591748, s2 = 13197338, d1 = 12, d2 = 108 Dl.O(d1) = 15328957 Dl.O(d2) = 4686755,7416365,4686582,2823897,2823895,4686580,7416363,9846962,9846961,7416095,4686374,2823966,2823967,4686190,2823882,2823881,4686556,7416332,11177786,14334155,9847023,9847022,11177494,7416248,4686498,2823834,2823833,4686496,7416243,11177696,11178424,11178425,16092805,11177326,11177325,13805301,11177390,11177392,16092882,22226255,29280227,22222627,16089839,11174952,10937383,7414233,4684972,4684970,7236909,7236906,7416659,7416658,11178197,15602123,10793585,7131153,4489382,4489381,7131151,8585596,5578848,3461362,3461361,267830234,12644696,254530224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 591748, s2 = 13197338, dlinesl.size( ) = 2 s1 = 591748, s2 = 13197338, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 591748, Dl.E( ) = 136, 5.6e-05 seconds used appending s1 = 7568768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 415324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16002909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15068111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15068111, s2 = 8342956, int(edited[s2]) = 0 s1 = 15068111, s2 = 8342956, d1 = 10, d2 = 5 Dl.O(d1) = 25967203,25967204,28651384,28651410,28651356,28651355,24566210,24566209,32149579,28628299,28628300,32031163,32031164,28564858,21337963,15364153,15364154,21337964,28564859,37066615,32149683,24566364,255218965,12853135,18126315,23007064,18048725,18048724,13167772,13167773,18532474,24470641,24470642,18225846,18225845,24694768,23812612,23812611,24427377,23812616,23812614,31298444,24427388,18015085,12767968,12767967,14480364,9962950,9962951,10805593,10805594,254909458,28928541,37469495,47376277,58763593,55666970,44756686,35328849,35328848,43071063,43071064,34013259,26171512,19470636,256175935,35328835,27203763,27203764,35328838,44756680,256323101,28646858,256762065,44756672,55666962,52637240,52637239,55666979,68066464,258668826,55667004,257929675,55666976,44756690,35328851,35328850,257929667,58402015,71119635,58401983,47030052,47030053,58401984,254964668,44358651,44358648,34981090,34981089,28628451,28628452,32775677,28628365,21390099,21390098,28628364,28628423,28628422,257440595,270290119,58402041,47030114,47030113,41692617,32775679,25078316,21390111,15405767,10648408,7030853,4422905,4422904,7030849,10648397,15405772,21390121,28628391,37141690,268330262,47030203,47030107,37141687,37141688,47030110,37141760,28628426,21390140,15405781,15405782,21390142,28628429,37141765,47030208,41692616,32775676,25078311,18535141,13170007,8977610,254906043,18535139,25078308,32775671,41692610,47030104,37141684,37141683,47030103,47030242,37141793,37141792,46968669,258047253,71119674,58402036,257191538,39386958,49314762,49314777,49314776,47030211,37141770,37141771,37610922,29061684,29061683,29061679,21765980,17090986,12003583,8058063,5149636,5118455,5118457,8029368,255145097,12021534,12021535,17086937,11999530,8052609,5143318,5143319,8052402,8052403,11973206,11973199,8036187,8036188,5138911,5138910,8048645,7361022,7361023,8045303,5135500,3122581,254382969,5149777,3134219,1832419,1045736,1045738,1041845,586623,327616,180722,99289,99288,180689,327149,326617,180259,99086,99087,254088293,584574,1037856,1817709,1841699,3097564,1809841,1033685,582519,582520,1033688,1809848,3097579,5102851,8014333,8014310,8014311,8068545,5162751,5146590,3131411,3131414,5126579,5126578,8036540,8026727,5116118,5116119,5109742,3120594,1823892,1823893,3120598,5132851,3137599,3137601,5134972,3122118,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104007,5111759,3135318,3135319,1833217,1833161,1833160,3096572,3096571,1842845,1051635,591443,329813,181685,181684,329808,591426,1033360,1033342,582352,327965,180872,180873,327970,587430,1043489,1828266,3127159,3127161,254569711,5122661,254568291,8056167,5163477,3146409,1840535,1050350,590829,329554,329557,590839,1050371,1840581,3117561,3117562,3129439,1829447,1044147,1044146,1829435,254239823,1665918,1665929,1665930,2870497,3133635,1832042,1045555,588447,588446,1045539,1812791,1055046,1035154,583237,326037,180016,98979,54702,54701,98953,98954,179974,325959,583157,592801,592799,1052611,1054323,592837,592836,1054320,1847515,3156699,3125110,1826793,1826794,3125112,2819284,1635603,1635604,2819288,3102213,1812561,1812562,3102217,3134333,3134334,5133799,5133800,5115139,4680005,4680004,7407053,8020227,11974473,254888695,5690191,5690190,8740413,10631927,10631929,15384753,15405711,10648364,10648365,15405714,15418094,15418095,21405711,18048907,12794985,254603670,5662206,8698931,267755930,254089814,28770835,28770836,29613222,22262440,22262439,29613219,35090256,44466679,42467498,33474225,33474224,38182353,38180122,38180121,31697941,24190036,17821221,12617787,12617789,12189525,8219920,5290024,3241590,3241589,5290022,8219917,12189519,11903059,11310844,7509590,7509589,11310841,15814905,15786005,15657690,15657689,15801053,10948393,254502706,4568034,7137140,4493424,4493427,7132558,7133872,4491387,4491385,7133868,10792822,7411196,7134677,7134679,10798338,11034492,15814859,11481998,255472969,16267310,22216658,16085054,11312784,7511308,4748104,2861465,1660703,1660702,2861462,4748103,4746629,2860581,1660223,944686,532850,532851,944689,1660229,254356381,7509275,11310465,7510485,4747438,3317474,3317475,5394958,8358323,7411864,7411865,10837761,7411010,7411009,10838068,8151682,5222870,3186113,3186115,4621105,4621101,5267376,5267373,8194250,5291339,5291340,8221380,11723052,16769174,17237661,12120740,255156179,17301163,12179143,8210940,5282037,5282038,8210944,5461653,3357977,1974108,1126994,631988,631989,1126998,1974113,3000014,3000013,4967057,5260581,8168082,5237591,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3268243,4962945,7820813,11718826,8223667,5293915,3245099,1904663,1904664,3196493,1871153,1871152,3196491,2444392,2444393,3217313,3217312,2816930,1634225,1634224,2816926,4675904,5267602,5267600,7490159,5267619,3223817,1889684,1889683,3216304,3252278,1918599,1095936,1095935,1091689,1091690,1911595,3234918,1903849,1903852,2669625,3207201,2669612,2669611,4444142,5242690,3201456,3201457,3254667,3246498,3246497,3266720,3258810,3258809,5282258,7325773,8174545,5244118,3202729,1875326,1069788,1069787,1875324,1910678,3253341,5302517,5235106,3195344,1917929,1095496,615003,341903,341902,614997,1095491,1917917,3263526,3242725,3242726,5241049,5241048,5296164,3247154,1906100,1906099,1094776,614584,614586,341666,341668,334507,184004,184007,334522,600507,601369,1070125,1875868,1886100,1882501,1871957,1871956,1887710,1887705,1887875,1887736,1077076,1077075,1887735,3221143,5266313,3261312,3261313,3250924,1908936,254133729,612029,1090027,1079656,919456,518533,518532,919455,1616524,1877070,3205436,5247402,5269630,8172248,8189334,258044684,1416588,1416586,1425356,810811,810813,865733,491005,275770,152355,152354,152357,152353,152342,152338,275723,490657,870314,1533955,254499773,10644850,15401180,21384352,268916410,257439937,70994156,84557855,74969953,62158435,257111741,31890587,31890588,37133739,28621464,21384345,15401175,10644849,10644850,15401180,21384352,256321009,270804840,260522435,139828617,139712915,126338223,126338222,139712913,152437262,139828616,126456634,261100749,116714372,102618350,98480502,258674666,58279374,58279375,259293115,98480505,112471368,126337960,261644678,126456628,259912588,84672517,84672519,71109436,71109437,71109417,58392660,256853730,37133734,47021382,58392658,47021386,257439935,71109425,84672513,98595507,112588648,126338228,259912611,98480938,88611963,74969958,62158438,62158433,62158432,74969951,259301383,259912586,71109427,71109428,71109438,71109437,71109417,58392660,256853730,37133734,47021382,58392658,47021386,257439935,71109425,84672513,98595508,112588651,126456626,272530163,261100746,112471349,112471348,126337942,260514376,98595502,98480484,84557829,70994137,70994138,84557830,84558446,98480941,260514405,112588643,98595504,84672510,71109421,257432160,37133741,37133743,257439935,71109425,84672513,98595508,112588651,126456626,261652121,152544653,261092914,112588646,112471700,98480935,98480936,88611963,74969958,62158438,62158433,50649329,50649328,62158430,70994157,84557856,98480505,112471368,126337960,261644678,126456628,259912588,84672517,84672519,84672524,98480485,84557829 Dl.O(d2) = 259301385,112471700,98480935,84558444,70994977,257432221,46914920,58280338,70994979,84558446,98480941,260514405,112588643,98595504,84672510,71109421,257432160,37133741,37133743,257439935,71109425,84672513,98595507,112588648,126338228,259912611,84558445,70994978,257432221,37037352,28538834,25654972,255878156,12204113,12204114,13546341,13546357,13546356,18983355,25592800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15068111, s2 = 8342956, dlinesl.size( ) = 2 s1 = 15068111, s2 = 8342956, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15068111, Dl.E( ) = 12, 1.19e-05 seconds used appending s1 = 6475204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6475204, s2 = 11270444, int(edited[s2]) = 0 s1 = 6475204, s2 = 11270444, d1 = 75, d2 = 77 Dl.O(d1) = 254948072 Dl.O(d2) = 261062214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6475204, s2 = 11270444, dlinesl.size( ) = 20 s1 = 831511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 831511, s2 = 2939687, int(edited[s2]) = 0 s1 = 831511, s2 = 2939687, d1 = 54, d2 = 21 Dl.O(d1) = 21453229,15454635 Dl.O(d2) = 167191948,155561791,143013779,143013778,129685495,115788191,101742486,87769559,74164906,61384305,49903808,39882834,31202849,23715033,17391165,12255450,8276792,5340402,3282507,254399109,8276794,255166841,21270007,15308542,12065623,11275402,11275401,16219938,18964979,23892849,23892848,17563546,17563547,13537025,13536957,9266498,6069510,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023197,1793601,3074546,5071206,7970053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 831511, s2 = 2939687, dlinesl.size( ) = 2 s1 = 831511, s2 = 2939687, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 831511, Dl.E( ) = 80, 2.6e-05 seconds used appending s1 = 6559708, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11007592, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 423792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 423792, s2 = 13542424, int(edited[s2]) = 0 s1 = 423792, s2 = 13542424, d1 = 1, d2 = 74 Dl.O(d1) = 10774320 Dl.O(d2) = 113493195,123729821,109538231,109538230,123729819,137457405,140718728,137457427,137457428,261215760,123729803,123729802,127362788,137457401,137457402,137457421,123729861,109538304,109538301,261206304,81226061,81226064,81226080,81226081,95283607,259795829,95283610,95283621,95283620,109538266,123729835,260999763,109538229,109538228,123729816,137457403,123729852,123729825,109538239,95283593,81226061,81226064,81226080,81226081,95283607,259795829,95283610,95283621,95283620,109538266,123729835,260999763,109538229,109538228,123729816,137457403,123729852,123729825,123729826,109538276,95283632,95283631,81226095,67759948,55419921,44572743,257319611,67759945,81226090,81226092,67759946,270139541,81226087,67759942,67759943,81226088,95283637,109538281,109538289,95283642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 423792, s2 = 13542424, dlinesl.size( ) = 26 s1 = 423932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6801627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6801627, s2 = 8001271, int(edited[s2]) = 0 s1 = 6801627, s2 = 8001271, d1 = 28, d2 = 31 Dl.O(d1) = 258670024,86687470,73083370,60343678,48946812,39023971,255827636,23027972,16785580,11736350,255511947 Dl.O(d2) = 255401757,18049119,18049118,24469057,255213765,12795234,15433913,10669819,7047014,4435244,2663054,2663055,4435248,7047019,8006689,8006688,11960590,17049117,15373678,10623140,10623139,15373676,21349603,21426071,15433908,15433907,13147125,13147124,18504746,22262556,16122238,16122237,18519596,15417201,10657319,10657318,7037686,4428228,4428229,5662285,5662284,8699067,12795174,18049128,24431431,24469069,25842236,19188404,19188403,25842233,256673761,41480884,51750394,63528630,70430314,257537348,259872161,125543392,261606319,159073430,159073429,146710069,271979459,105369711,91151921,258383061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6801627, s2 = 8001271, dlinesl.size( ) = 8 s1 = 6512454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10341534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341534, s2 = 8314815, int(edited[s2]) = 0 s1 = 10341534, s2 = 8314815, d1 = 53, d2 = 57 Dl.O(d1) = 254547482,10844408,11939653,7990840,7990841,11327832,11327833,7990801,7990800,10770617,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,2692396,1559798,886813,500372,280624,154944,84993,46565,46564,84990,154937,280609,500344,886735,1559635,2692123,4480593,7116320,5172005,5085518,3085025,1800854,1800856,3085030,5001215,7527864,7527862,10770902,15326913,15326912,11950441,11950442,17036306,15571599,15571600,16957442,11939534,11939533,12132769,8162890,5232719,5232720,7640360,11487188,16285236,11329934,7526960,7526959,11329932 Dl.O(d2) = 116208922,102147879,88157300,269337864,50279327,40258404,255455868,17709905,254525854,29552905,35434097,35434096,44872716,44872719,44872718,37415031,28873467,21598077,15570412,10769856,7115855,4480304,2691914,1559477,886633,886635,520942,520943,267734744,1677770,2890577,1745258,991903,924071,924072,1625168,2732552,1583427,1583426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 609964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8111608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8111608, s2 = 7571065, int(edited[s2]) = 0 s1 = 8111608, s2 = 7571065, d1 = 13, d2 = 11 Dl.O(d1) = 255324499,9875305,9875304,14365366,10472322,7697646,7697647,9891356,7699882,7699881,8309133,8309246,8309244,8309216,254846725,6505344,6496050,5076219,5076218,4536654,254511073 Dl.O(d2) = 268214871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8111608, s2 = 7571065, dlinesl.size( ) = 8 s1 = 6546152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9404068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15970115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15970115, s2 = 11175856, int(edited[s2]) = 0 s1 = 15970115, s2 = 11175856, d1 = 51, d2 = 74 Dl.O(d1) = 256357604,255428684 Dl.O(d2) = 255403554,21441592,21441593,28692525,37217503,37217504,37217507,28692523,255834768,37200416,37217508,28692528,28692529,37217511,256866448,71214732,84783818,98711924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15970115, s2 = 11175856, dlinesl.size( ) = 2 s1 = 15970115, s2 = 11175856, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15970115, Dl.E( ) = 92, 4.1e-05 seconds used appending s1 = 11052006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052006, s2 = 613683, int(edited[s2]) = 0 s1 = 11052006, s2 = 613683, d1 = 38, d2 = 32 Dl.O(d1) = 254651173,6023758,9200446,13453545,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881256,24062910,17707652,12525706,8487523,5488534,3379252,3379251,5488527,8487506,12525675,17707608,22835815,30227447,29226943,21910936,15829036,10969490,10969491,15829040,21910946,29226952,37788884,44758553,35330533,27205216,27205218,32489631,24847304,23915323,23915322,17916575,17916576,24299431,21167154,21167152,15829063,10969510,10969509,15829058,11250892,11250891,10969540,7260864,4579179,4579177,7260861,10969534,7260889,4579194,2755050,2755049,4579187,7260878,10969566 Dl.O(d2) = 268202466,9756099,7226902,4554302,4554303,7226904,10925221,15772842,21842587,29150850,37711089,47633304,59035545,48226209,38316735,38316736,42153628,42153629,52511523,60045935,60045936,72784706,71777988,71777989,85367740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052006, s2 = 613683, dlinesl.size( ) = 10 s1 = 14481811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14481811, s2 = 6671214, int(edited[s2]) = 0 s1 = 14481811, s2 = 6671214, d1 = 8, d2 = 24 Dl.O(d1) = 255841780 Dl.O(d2) = 3585671,5627055,3585405,2136857,2136856,3585403,5756863,3584923,267854591,8834573,8944536,8944535,13123184,18471825,17986084,12747465,12712032,12712031,12920542,8789354,5724914,3564316,2124134,1225227,1225226,2124132,3491000,5619537,8640706,12717064,16860675,23120497,18497372,255638777,32715242,257167481,63731329,258997415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14481811, s2 = 6671214, dlinesl.size( ) = 2 s1 = 14481811, s2 = 6671214, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14481811, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 6514602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6514602, s2 = 11400808, int(edited[s2]) = 0 s1 = 6514602, s2 = 11400808, d1 = 24, d2 = 41 Dl.O(d1) = 255443929 Dl.O(d2) = 72283294,72283296,258755511,85875595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6514602, s2 = 11400808, dlinesl.size( ) = 2 s1 = 6514602, s2 = 11400808, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6514602, Dl.E( ) = 54, 1.6e-05 seconds used appending s1 = 14105869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15744981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15087443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 623854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16183257, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 438071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8068138, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 625948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 625948, s2 = 6819095, int(edited[s2]) = 0 s1 = 625948, s2 = 6819095, d1 = 9, d2 = 34 Dl.O(d1) = 16043138 Dl.O(d2) = 129035946,115107501,101033459,258835311,60673904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 625948, s2 = 6819095, dlinesl.size( ) = 2 s1 = 625948, s2 = 6819095, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 625948, Dl.E( ) = 60, 2.41e-05 seconds used appending s1 = 13342961, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14596407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 627025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 155330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 155330, s2 = 14109244, int(edited[s2]) = 0 s1 = 155330, s2 = 14109244, d1 = 5, d2 = 11 Dl.O(d1) = 3638684,2174403,2174402,3638683,5831282,5671163,5671162,8712000,12813481,16679683,11642654,11642653,8708662,7028709,7028706,8708701,8711465,5671050,5671046,8711800,5675003,5675000,8718437,5674998,3529697,3529703,5674933,8718296,12809125,8709357,8709358,12808724,12808722,8712491,5838074,3643533,3643534,267926403,13121219,12807453,12807452,16084428,16084429,22216164 Dl.O(d2) = 38127203,48040378,59432468,258746125,99719417,113733940,127602739,140952170,153618703,273120787,185543660,193803253,200886493,206865048,211804964,215840258,219177710,221995203,224414766,223668787,274304614,218227854,214739482,210501221,205313866,199048410,191641518,262898952,162071738,149857570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 155330, s2 = 14109244, dlinesl.size( ) = 2 s1 = 155330, s2 = 14109244, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 155330, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 440968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 440968, s2 = 5555599, int(edited[s2]) = 0 s1 = 440968, s2 = 5555599, d1 = 0, d2 = 67 Dl.O(d1) = 11185457 Dl.O(d2) = 228124765,226271564,224142399,224142401,226271569,226319190,226271567,224142400,224142401,226271569,274403086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 442498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13330067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15953797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6599559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6599559, s2 = 14252763, int(edited[s2]) = 0 s1 = 6599559, s2 = 14252763, d1 = 36, d2 = 68 Dl.O(d1) = 256405927 Dl.O(d2) = 263381031,198059745,204489273,264652437,206558615,206558614,206558616,206558617,211545138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6599559, s2 = 14252763, dlinesl.size( ) = 2 s1 = 6599559, s2 = 14252763, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6599559, Dl.E( ) = 84, 5.01e-05 seconds used appending s1 = 15466969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15466969, s2 = 8615110, int(edited[s2]) = 0 s1 = 15466969, s2 = 8615110, d1 = 30, d2 = 36 Dl.O(d1) = 3230340,5235308,3195535,3195536,1883941,1883942,3215725,3218138,1885644,1075830,1075829,1885640,3218134,4612667,2777448,2777447,4612665,5259191,3214911,3214912,4793154,5319705,5301027,3251747,1909499,1090350,254182867,3228125,3228129,3228128,3202520,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,945327,1070741,601684,601681,1070734,1876881,3205143,5247079,3205205,1891677,1891679,3226569,4792046,2888540,1676492,1676493,1082488,1082487,1896551,3231633,2888350,1676388,1676387,1882785,1882786,1882863,3214132,5258330,3659263,2189261,1270494,1270493,1270506,1270504,1612013,917106,917102,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301557,537882,953838,1675750,2887288,3234824,254394205,8210505 Dl.O(d2) = 261190454,176409127,185846465,194076163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15466969, s2 = 8615110, dlinesl.size( ) = 2 s1 = 15466969, s2 = 8615110, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15466969, Dl.E( ) = 44, 1.19e-05 seconds used appending s1 = 12806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12806, s2 = 639960, int(edited[s2]) = 0 s1 = 12806, s2 = 639960, d1 = 0, d2 = 0 Dl.O(d1) = 7818610,4960724,4960727,4682774,4682776,3000494,2711963,2711965,4513273,7165849,8246238,12120476,11039171,7313585,7313586,8229286,5300668,3251488,3251489,3251472,3251470,5223182,3186297,3186296,5223177,8152051,8150153,5221607,5221608,8150146,5253213,5253212,8183586,8172517,8172514,8278122,5341156,5341155,8148063,12117123,17235510,17574612,15305620,15305623,21267196,22323252,21267177,15305610,15305611,12396633,8377737,8377736,12396628,17568211,21242238,15274939,15274940,21122297,22518769,20989656,15076436,15076435,15474057,15474055,21476647,17552591,12382180,8367156,8363839,5398327,3319388,1952685,1952684,267844833,254852529,12253826,12253824,16765200,11717902,7819391,7819390,11717900,8148431,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737102,7493896,11036686,11036685,8234031,5306096,3256406,1912919,1092431,1092430,1912542,3255788,3256196,5305812,8233755,254777505,4736613,2854564,1656599,942568,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1903803,1595485,907031,511485,511483,907024,1595479,2752287,4574861,3358346,1974336,267800659,5462122,268107539,254825030,3244594,1904327,1087165,610417,339566,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,608169,1082812,1082811,1897106,3234204,3216417,1884391,1075044,1075043,1884387,3216414,5261127,8191726,8245364,5317102,5317101,5303150,5280722,3233966,1896932,1896931,3233964,3200006,1873439,1873438,1078171,605554,336996,185165,101321,101320,185162,336989,254132907,254263621,1903471,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3269847,5265873,5320099,4792036,3268953,3268952,5320088,8204380,8204381,8193230,5262891,3218136,1885641,1885640,3218134,4612667,2777448,2777447,4612665,5259191,3214911,3214912,4793152,5300541,3251382,1909281,1909282,254395783,8229179,7710507,5258357,3214150,3214151,267906367,5273474,267994255,11584098,7710488,5246763,3204889,1876707,1876706,3197929,1871927,1871926,3197928,5238724,7572080,7308108,4612126,4612127,3520453,2889073,1676795,953993,537895,301547,166962,91911,91913,166883,301376,537551,953345,1675594,2887022,4789662,7573263,11397863,16377167,22554380,256401120,28476695 Dl.O(d2) = 7818610,4960724,4960727,4682774,4682776,3000494,2711963,2711965,4513273,7165849,8246238,12120476,11039171,7313585,7313586,8229286,5300668,3251488,3251489,3251472,3251470,5223182,3186297,3186296,5223177,8152051,8150153,5221607,5221608,8150146,5253213,5253212,8183586,8172517,8172514,8278122,5341156,5341155,8148063,12117123,17235510,17574612,15305620,15305623,21267196,22323252,21267177,15305610,15305611,12396633,8377737,8377736,12396628,17568211,21242238,15274939,15274940,21122297,22518769,20989656,15076436,15076435,15474057,15474055,21476647,17552591,12382180,8367156,8363839,5398327,3319388,1952685,1952684,267844833,254852529,12253826,12253824,16765200,11717902,7819391,7819390,11717900,8148431,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737102,7493896,11036686,11036685,8234031,5306096,3256406,1912919,1092431,1092430,1912542,3255788,3256196,5305812,8233755,254777505,4736613,2854564,1656599,942568,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1903803,1595485,907031,511485,511483,907024,1595479,2752287,4574861,3358346,1974336,267800659,5462122,268107539,254825030,3244594,1904327,1087165,610417,339566,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,608169,1082812,1082811,1897106,3234204,3216417,1884391,1075044,1075043,1884387,3216414,5261127,8191726,8245364,5317102,5317101,5303150,5280722,3233966,1896932,1896931,3233964,3200006,1873439,1873438,1078171,605554,336996,185165,101321,101320,185162,336989,254132907,254263621,1903471,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3269847,5265873,5320099,4792036,3268953,3268952,5320088,8204380,8204381,8193230,5262891,3218136,1885641,1885640,3218134,4612667,2777448,2777447,4612665,5259191,3214911,3214912,4793152,5300541,3251382,1909281,1909282,254395783,8229179,7710507,5258357,3214150,3214151,267906367,5273474,267994255,11584098,7710488,5246763,3204889,1876707,1876706,3197929,1871927,1871926,3197928,5238724,7572080,7308108,4612126,4612127,3520453,2889073,1676795,953993,537895,301547,166962,91911,91913,166883,301376,537551,953345,1675594,2887022,4789662,7573263,11397863,16377167,22554380,256401120,28476695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12806, s2 = 639960, dlinesl.size( ) = 2 s1 = 12806, s2 = 639960, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 12806, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16190713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16190713, s2 = 270791, int(edited[s2]) = 0 s1 = 16190713, s2 = 270791, d1 = 184, d2 = 137 Dl.O(d1) = 152259627,152259628,164145545,174964273,184568292,192955028,200149443,206224523,211247985,215352476,218744079,216308139,212355146,207515810,201644172,194667545 Dl.O(d2) = 6776245,4247459,2539411,1463182,828070,828072,1463187,2539425,2567325,1478199,1478200,2567330,2567202,2567200,4293888,4247442,2539401,2539400,254482439,10295636,10295635,14963236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16190713, s2 = 270791, dlinesl.size( ) = 2 s1 = 16190713, s2 = 270791, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16190713, Dl.E( ) = 196, 5.41e-05 seconds used appending s1 = 11050374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050374, s2 = 726635, int(edited[s2]) = 0 s1 = 11050374, s2 = 726635, d1 = 57, d2 = 81 Dl.O(d1) = 256515862 Dl.O(d2) = 16790300,23033827,29587879,33733545,33149999,30198497,28836555,28836553,30014724,38587141,44390514,44390513,42574745,33557937,25768584,19128805,255047256,14973191,14973192,20875247,28043278,25117229,18566407,13193674,8994309,8994304,10518820,10518825,15247596,21215822,28441408,36940866,46818745,47970501,53257317,257831291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050374, s2 = 726635, dlinesl.size( ) = 18 s1 = 16365807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15262695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13266233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14485634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14485634, s2 = 11648576, int(edited[s2]) = 0 s1 = 14485634, s2 = 11648576, d1 = 21, d2 = 61 Dl.O(d1) = 254694856 Dl.O(d2) = 165453358,261170738,259994259,258751223 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1332379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 645986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 645986, s2 = 9243916, int(edited[s2]) = 0 s1 = 645986, s2 = 9243916, d1 = 11, d2 = 47 Dl.O(d1) = 16512376 Dl.O(d2) = 264579956,211004898,211004899,215169595,274261211,211004900,211004901,205908995,199747392,192461356,183998289,174339545,163495743,261323018,151615809,261323018,138914360,125580565,111771507,97845978,258293194,70456176,57761123,46410345,36548758,28080527,23830943,17492596,12333723,12333725,14193664,9757387,9757388,14193673,19814978,18196477,18196475,14605106,14535798,10001217,10001215,11338957,7535160,7535161,11338962,16297033,18196188,254830216,8779577,12906361,18196189,24654195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 645986, s2 = 9243916, dlinesl.size( ) = 62 s1 = 647070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7894258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1779644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6439726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8215038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8215038, s2 = 11560834, int(edited[s2]) = 0 s1 = 8215038, s2 = 11560834, d1 = 69, d2 = 75 Dl.O(d1) = 257055678,256646340,255666284,22901274,16670577,11635827,11635826 Dl.O(d2) = 233906356,232762520,232762521,266238784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8215038, s2 = 11560834, dlinesl.size( ) = 14 s1 = 14045483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14045483, s2 = 15651165, int(edited[s2]) = 0 s1 = 14045483, s2 = 15651165, d1 = 44, d2 = 47 Dl.O(d1) = 24054166,17700309,12519724,12519725,17700314,24054174,31558656,40244824,50264352,61742707,61742705,72405287,86001434,73520777,73520778,74020061,61742724,61742723,74524534,86411656,100367651,87624230,74020076,61239342,50264238,40244761,31558617,24054151,17700300,17700299,24054149,31558614,24054165,24054163,31558637,257086147,42575169,33558319,255685555,19129123,25768951,33558322,42575170,53015463,64990560,78264112,92291165,258749894,58148209,46780701,46780700,52343952,59948624,48842402,48842401,258183661,258211070,99377219,85436111,85436112,85482354,71897407,71897406,85482353,98328688,84419480,70862272,58148211,46780703,36902883,28405489,257421509,38921846,30335617,22934894,16700024,16700025,22934897,30335619,38921848,48842405,53168430,53168431,59159511,47760889,47760890,58148205,46780694,36902879,28405486,21184366,15222706,15222707,21184369,268608369,38921843,30335620,255950820,11660623,7771923,4924818,4924819,7771925,11660625 Dl.O(d2) = 117925529,117925530,261372029,261898674,142562967,129189002,115260331,101184381,87187087,87187086,73568507,60821471,60821470,270034239,92716512,107055936,121352727,114326343,100296037,258949208,72736561,86333981,100296036,114326342,128209308,141565536,154226484,165982957,176626108,186043713,192521833,273516794,151692216,138988616,125650573,111835407,97902160,84032333,70497593,57796915,46441779,36576658,28104686,28104685,36576657,46441777,57796914,70497591,75967248,257472830,258340573,89746635,103850832,99147351,85224915,71659394,58937953,58937954,71659396,85224916,99147352,86530101,72931622,60192226,48795506,38873086,30287324,22889454,16660420,11627595,7745485,4904924,4904925,7745490,11627605,16660441,22889479,30287357,30289190,22891107,16661748,11628484,11628482,16661741,22891095,30289166,38874897,46675160,58049942,70768480,84327509,259895079,260788858,112337089,98354145,269027746,46805525,36927268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14045483, s2 = 15651165, dlinesl.size( ) = 2 s1 = 14045483, s2 = 15651165, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14045483, Dl.E( ) = 52, 1.69e-05 seconds used appending s1 = 16172373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6447651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6447651, s2 = 1574286, int(edited[s2]) = 0 s1 = 6447651, s2 = 1574286, d1 = 5, d2 = 36 Dl.O(d1) = 254552109 Dl.O(d2) = 8283063,5395323,5395322,6055527,8359021,8359018,12370448,14449361,10590139,6985967,4389693,4389694,6985973,10590152,15333419,17562001,12391086,12391088,17562010,17616649,17616650,17568896,12397185,12397184,16084108,22215818,17562915,17562914,17561423,17561422,17576279,17576280,23918060,23893683,17547541,12377695,12377699,17404595,12265563,8283073,8283071,254387420,17617368,23905960,23716915,267962100,12257116,17393204,23716913,22313672,22313673,22887971,30285824,254495384,11747263,11747260,12390752,12265514,12265515,8404946,5423569,5423570,8404948,12436078,12270005,12269923,8285710,8285712,12269933,17409898,17409911,12318091,8320374,5368938,3300694,1941346,1941343,3300676,5368899,8320326,12318029,17471886,23719868,17396028,12259232,12259233,17382585,17382584,12485201,12306129,8312034,5363392,5363394,8312044,12306145,12267256,8284088,8284087,12257508,17393645,23717317,31204482,39884044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6447651, s2 = 1574286, dlinesl.size( ) = 2 s1 = 6447651, s2 = 1574286, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6447651, Dl.E( ) = 50, 1.5e-05 seconds used appending s1 = 657258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 657258, s2 = 5764242, int(edited[s2]) = 0 s1 = 657258, s2 = 5764242, d1 = 0, d2 = 51 Dl.O(d1) = 16782310 Dl.O(d2) = 228155347,274420942,231219048,232511388,231219050,231219047,229778310,274289314,226306259,228155345,274420942,229778311,274289314,226306259,228155346,229778313,231219051,232511389,233679608,266141602,236590745,237393641,238123333,237432272,236632781,235755506,234791270,233733127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 657258, s2 = 5764242, dlinesl.size( ) = 10 s1 = 7860738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7860738, s2 = 9042653, int(edited[s2]) = 0 s1 = 7860738, s2 = 9042653, d1 = 40, d2 = 38 Dl.O(d1) = 254730894,3004123,1744638,1744639,3004125,254555349 Dl.O(d2) = 273422410,222877654,264328032,220039511,264022996,225073300,264328034,263681570,273206970,208592077,202937547,202937548,208592079,213239219,263303978,273909588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7860738, s2 = 9042653, dlinesl.size( ) = 2 s1 = 7860738, s2 = 9042653, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7860738, Dl.E( ) = 60, 1.69e-05 seconds used appending s1 = 13960951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13960951, s2 = 9549530, int(edited[s2]) = 0 s1 = 13960951, s2 = 9549530, d1 = 66, d2 = 77 Dl.O(d1) = 2757659,4583510,7268025,9706473,10627332,13789822,19288634,21965893,254879578,255338978,12825059,12825058,18090170,24521741,21332009,21332010,28557733,26147712,21383040,21338134,21338135,18771851,18771850,15365138,10616160,10616161,15365117,14416041,13700005,13700004,254307208,8684304,12775956,18025591,13628641,13628642,11004933,7285072,7285073,11004934,15876038,18767552,268141666 Dl.O(d2) = 232253132,230937237,230937236,232256370,230937254,229465073,227808045,227808046,229465075,265819291,227808051,265671535,225920648,227808036,229465058,230937235,229465067,229465066,230937238,230937249,265819287,225920652,223757000,223756999,225920649,227808034,227808035,227808043,229465071,230937251,266078584,233446996,232256375,230937254,229465073,227808045,227808046,229465075,265819291,227808051,265671535,223756998,221260981,221260980,223756995,265510545,223756994,265510547,225920656,265671533,265332655,218347206,265137493,223756993,221260987,265137491,214879955,214879956,265137493,223756992,225920641,265510549,223757007,225920659,223757005,221260986,221260985,265510547,225920656,265671533,265332655,218347206,265137493,223756993,221260987,265137491,214879955,214879956,265137493,223756992,265332657,221260984,223757003,225920657,227808050,274544521,227808044,227808046,229465075,265819291,225920658,223757005,221260986,218347210,214879958,210666096,210666095,214879956,265137493,223756993,221260987,218347212,214879959,264420863,199272011,191901784,183334021,173534287,162497759,150365369,137324668,137324667,150365366,150365367,260990036,121000424,106747801,92442938,78407065,78407064,258528848,106747803,106747802,121000425,134796742,147914960,160163109,171381753,181402088,190203587,264376323,214114464,217753957,215830531,211794460,206854009,263894370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13960951, s2 = 9549530, dlinesl.size( ) = 42 s1 = 659530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 659434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 659434, s2 = 12755228, int(edited[s2]) = 0 s1 = 659434, s2 = 12755228, d1 = 34, d2 = 37 Dl.O(d1) = 16837380,23092210,23100956,16844472,11779928,7865194,4992500,267898983 Dl.O(d2) = 37140049,256818054,47028253,47028254,47028258,49034095,59126858,47728435,47728433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 659434, s2 = 12755228, dlinesl.size( ) = 2 s1 = 659434, s2 = 12755228, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 659434, Dl.E( ) = 66, 2.79e-05 seconds used appending s1 = 13295465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13591871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9106662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9106662, s2 = 10145119, int(edited[s2]) = 0 s1 = 9106662, s2 = 10145119, d1 = 30, d2 = 35 Dl.O(d1) = 256230401,27128512,29397291 Dl.O(d2) = 5023513,6054845,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,16650646,22879008,23712755,17389128,12253890,12253889,17389124,17883507,12667176,12667177,17883508,17381125,12248090,8272169,5337732,3281180,1930038,1102720,618846,343903,188584,188583,254134493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9106662, s2 = 10145119, dlinesl.size( ) = 2 s1 = 9106662, s2 = 10145119, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9106662, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 6552076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 665524, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 667350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155528, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6603125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6603125, s2 = 7938406, int(edited[s2]) = 0 s1 = 6603125, s2 = 7938406, d1 = 7, d2 = 7 Dl.O(d1) = 256441242,256805095,36426664,46279718,57624384,60189730,256500190,268974453,23368562,17100065,12014254,254571807,3148768,5132904,5132903,4252332,2542149,267762891,828811,584713,584712,1038134,1635134,929852,929851,1635133,2818432,4678288,5228983,3190769,1867394,1065225,598715,333580,333581,598718,1065236,1867405,1065569,1065567,1867977,3191596,5107351,5107352,3113072,1819173,1819174,3113075,5115650,3107133,3107132,3122467,3101829,1812339,1034962,1034961,1812335,3101786,3101787,1845419,1053108,1053109,1845424,3153796,5171894,7525149,7526136,4759596,4759597,7526138,11329321,12007713,8064484,8064485,5166961,3149224,1842372,1842371,3149220,5166953,5162828,3145822,3145823,5162834,8068622,5167387,3149602,1842649,1842650,3149603,254571887,10427536,6874918,4315758,4315759,5150052,3134481,1832596,1045833,1045834,588579,588580,1045862,1039526,585430,327030,327033,585444,1039557,1820919,1836050,1832460,1832462,1832419,1045736,1045738,1041845,586623,327616,180722,99289,99285,180673,180653,180651,180373,99136,54760,54759,99131,180362,326817,584979,1038622,1819249,3113200,5123778,3115417 Dl.O(d2) = 256441242,256805095,36426664,46279718,57624384,60189730,256500190,268974453,23368562,17100065,12014254,254571807,3148768,5132904,5132903,4252332,2542149,267762891,828811,584713,584712,1038134,1635134,929852,929851,1635133,2818432,4678288,5228983,3190769,1867394,1065225,598715,333580,333581,598718,1065236,1867405,1065569,1065567,1867977,3191596,5107351,5107352,3113072,1819173,1819174,3113075,5115650,3107133,3107132,3122467,3101829,1812339,1034962,1034961,1812335,3101786,3101787,1845419,1053108,1053109,1845424,3153796,5171894,7525149,7526136,4759596,4759597,7526138,11329321,12007713,8064484,8064485,5166961,3149224,1842372,1842371,3149220,5166953,5162828,3145822,3145823,5162834,8068622,5167387,3149602,1842649,1842650,3149603,254571887,10427536,6874918,4315758,4315759,5150052,3134481,1832596,1045833,1045834,588579,588580,1045862,1039526,585430,327030,327033,585444,1039557,1820919,1836050,1832460,1832462,1832419,1045736,1045738,1041845,586623,327616,180722,99289,99285,180673,180653,180651,180373,99136,54760,54759,99131,180362,326817,584979,1038622,1819249,3113200,5123778,3115417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6603125, s2 = 7938406, dlinesl.size( ) = 2 s1 = 6603125, s2 = 7938406, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6603125, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11061806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14527353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14527353, s2 = 14051392, int(edited[s2]) = 0 s1 = 14527353, s2 = 14051392, d1 = 15, d2 = 8 Dl.O(d1) = 256983589,30207434,22815705,16596968,255497251,22815700,28383659,21165819,18918374,18918375,255446841,11072538,7341919,4637389,4637390,7341921,11072540,15954787,22059041,29389793,24467936,22052333,15948916,15948917,15940035,11061002,7334133,254348809,1619114,920921,920920,1619144,2791016,4633056,7334320,11061272,15940435,22043289,22066931,255884167,255539153,12075614,12075612,17174418,23451055,30882446,39488455,38639331,38639330,48554086,59946311,72685116,86283877,73236141,60489429,49086366,39156702 Dl.O(d2) = 52666312,42278956,33297667,28174740,28174741,22412238,22412240,255748232,18924334,13491203,13491202,18924332,25535826,30711965,23295486,23295487,23263562,23263561,21630689,254401816,21622278,15591817,15591818,15052114,13306682,13306684,10790269,10790271,10392082,10392080,12680519,12680520,14600316,10046358,10046359,10314139,10314140,14982123,20884841,22368795,20825320,20825317,27989782,36448517,46301513,57646151,70336594,83861733,257558364,125443546,138772308,151473738,163357527,174210555,183880972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14527353, s2 = 14051392, dlinesl.size( ) = 2 s1 = 14527353, s2 = 14051392, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14527353, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 14047731, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14064645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7879015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 676808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 676808, s2 = 7428938, int(edited[s2]) = 0 s1 = 676808, s2 = 7428938, d1 = 53, d2 = 24 Dl.O(d1) = 17285465,17285466,21471085,15468832,10696041,7066280,4449049,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,18054881,18054882,24476309,32040437,30732837,23313906,17050912,17050914,23313911,30732846,23314931,17051584,255529841,17051227,254820891,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,11961452,8007162,5097465,3094071,3094070,5097457,8007147,11469526,11469525,16461075,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,30734468,257023455,257632234,38043362,38043363,47956758,256407874,29769253,29769254,30732037,23313248,23313247,22327240,16181387,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007128,11961365,17050397,17051964,17051965,23315450,28289220,21082862,21082863,22142848,16024887,11126461,11126462,16024895,22142864,23313333,17050499,17050498,22142732,29480301,29480750,38043899,29480817,29480814,23315714,17052139,17052137,23315707,29678252,33838952,26019516,22008883,15907540,11028894,11028896,15907548,22008893,22327200,29678383,30665438,33209786,27127059,20222145,16181433,16181431,22143201,16025110,11126570,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567 Dl.O(d2) = 235433401,234442469,234442470,235433404,236338145,237164705,236338140,266561561,237917371,238601519,238246348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 676808, s2 = 7428938, dlinesl.size( ) = 12 s1 = 11121718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449565, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7585371, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 683985, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10363066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 318776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 465905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 465905, s2 = 6761601, int(edited[s2]) = 0 s1 = 465905, s2 = 6761601, d1 = 1, d2 = 69 Dl.O(d1) = 11813190,11813192,16883637,21972141,16882038,11811577,11811578,16882039,255204984,31281918,39956661,47800954,39956638,31281755,31281756,39956639,31281876,31281877,23795738,23795737,31281895,39956745,31369154,255566565 Dl.O(d2) = 258173396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 465905, s2 = 6761601, dlinesl.size( ) = 2 s1 = 465905, s2 = 6761601, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 465905, Dl.E( ) = 118, 3.29e-05 seconds used appending s1 = 13960463, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 487754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 689359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 689359, s2 = 6682402, int(edited[s2]) = 0 s1 = 689359, s2 = 6682402, d1 = 32, d2 = 29 Dl.O(d1) = 17587179,12414021 Dl.O(d2) = 60356196,59609642,48222788,38312900,38312901,48218250,48217533,47770271,37847431,29279912,21955321,15863747,15863745,21955310,29279893,37847390,37695643,37695645,47618950,59022551,64151621,52299375,41958370,33015792,33015794,38778958,46917232,48098819,38187355,30194649,22803972,22803971,30194646,38779036,48701422,47770585,37847653,29280028,21955377,21955379,29280035,37847661,47770594,52299158,41958195,39038956,39038955,47880190,59275568,48218266,38308519,29740243,29740241,38308515,48218259,59605069,256937760,255899206,47008950,58379932,64151493,64151494,64151538,52299298,48960393,39038960,38778928,38778929,48340767,58450444,48701449,48701448,52665889,52665888,64566551,58379992,48700101,38777802,34694135,34694133,43969373,47009019,37122269,37122267,47009010,37847548,29279969,29279970,37847555,38779017,38779016,48701401,51028233,51028232,47009193,37122375,28611672,21376283,15394797,15394798,21376290,21376314,28611719,37122432,28611729,28611731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 689359, s2 = 6682402, dlinesl.size( ) = 2 s1 = 689359, s2 = 6682402, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 689359, Dl.E( ) = 36, 1.81e-05 seconds used appending s1 = 1248728, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6525595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6525595, s2 = 691323, int(edited[s2]) = 0 s1 = 6525595, s2 = 691323, d1 = 15, d2 = 11 Dl.O(d1) = 255574325 Dl.O(d2) = 17631241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6525595, s2 = 691323, dlinesl.size( ) = 30 s1 = 10148771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16046629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15569579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16117033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16117033, s2 = 9107751, int(edited[s2]) = 0 s1 = 16117033, s2 = 9107751, d1 = 29, d2 = 25 Dl.O(d1) = 28567578,21340231,15365995,10616865,7006235,7006236,10616867,15366000,21340241,28567596,37069840,38041756,29478702,29478703,23476631,17194237,17194236,23476629,30913320,30913319,30913318,39523801,49457390,60860373,73610451,87231799,101232232,115310574,129238619,261808631,262791229,273377347,194877438,201815679,207656258,212471807,216408672,219672997,222429756,265592549,228641710,230216737,231615396 Dl.O(d2) = 38051353,37538328,37538327,47446448,58832536,71559919,58832540,58832539,71559920,85130347,98346614,98346615,112329693,102157092,88165707,88165706,102157090,99309193,85364350,85364349,99309190,113312707,127172403,260123882,86009322,86009323,99123348,85200786,71636006,71636005,74550379,74682297,258171570,40363790,31669237,24159717,17792373,12593505,12593506,17792375,256545753,50398923,258440026,71559912,71559913,59047448,47646028,47646029,59047449,65126003,63023718,53140900,53140901,42690070,33659544,25853951,25853950,28754719,21495368,15489066,10710963,7076134,7076133,10710960,15489061,21495359,28754704,37288612,47196939,58588282,71321656,71321692,58588319,47196962,47196963,256700464,84895499,90285319,90285318,104436256,98822472,98822470,98372975,98372974,84895498,76455440,76455441,63411714,257157835,41426323,32566137,32566138,41426325,51668403,44814480,44814479,257745369,47709079,37788067,37788068,44814151,55720673,68117000,60642692,59107155,47709074,47709075,59107157,68116786,55720471,55720470,44814387,35389676,27264158,27264159,35389678,27264161,27264162,35389669,268343751,14589936,14589935,20329610,20329618,14589942,10039311,6597622,4133349,2472574,2472573,4133347,6597619,10039305,13208387,13208388,9003945,5877862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16117033, s2 = 9107751, dlinesl.size( ) = 2 s1 = 16117033, s2 = 9107751, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16117033, Dl.E( ) = 30, 1.41e-05 seconds used appending s1 = 13372453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 702219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 702219, s2 = 7991221, int(edited[s2]) = 0 s1 = 702219, s2 = 7991221, d1 = 1, d2 = 1 Dl.O(d1) = 17892064,254553952,16761373,11959692,8006132,8006131,255143285,12674547,8607441,8607440,8607434,5593395,5593396,8607436,12674544,17892891,17892947,17892949,17893117,17893115,17893114,255594393,12675159,8607860,254876765,17894285,256047429 Dl.O(d2) = 17892064,254553952,16761373,11959692,8006132,8006131,255143285,12674547,8607441,8607440,8607434,5593395,5593396,8607436,12674544,17892891,17892947,17892949,17893117,17893115,17893114,255594393,12675159,8607860,254876765,17894285,256047429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 702219, s2 = 7991221, dlinesl.size( ) = 2 s1 = 702219, s2 = 7991221, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 702219, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 92624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 92624, s2 = 5456310, int(edited[s2]) = 0 s1 = 92624, s2 = 5456310, d1 = 5, d2 = 6 Dl.O(d1) = 2059117,254617139 Dl.O(d2) = 256554955,50521428,62013219,74809675,88442118,260157437,130378637,143704472,156233147,167825809,262372379,143704468,130378635,116540553,116540552,130378633,143704466,156233141,156233145,167825807,167825810,167825806,156233144,156233143,263266481,195496964,202353278,202353283,195496972,187479764,187479765,187479762,262841877,156233149,156233148,167825806,167825804,178266894,187479757,195496965,187479758,187479759,195496964,202353278,202353283,202353280,202353281,208117473,212870391,216757148,219978139,222696626,225031058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 92624, s2 = 5456310, dlinesl.size( ) = 2 s1 = 92624, s2 = 5456310, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 92624, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7875239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16311227, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1964708, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10347813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 706532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 706946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 706946, s2 = 7957023, int(edited[s2]) = 0 s1 = 706946, s2 = 7957023, d1 = 9, d2 = 23 Dl.O(d1) = 18013919 Dl.O(d2) = 254673489,13972755,255709797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 706946, s2 = 7957023, dlinesl.size( ) = 2 s1 = 706946, s2 = 7957023, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 706946, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 6528727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6529407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6529407, s2 = 8112711, int(edited[s2]) = 0 s1 = 6529407, s2 = 8112711, d1 = 33, d2 = 11 Dl.O(d1) = 255618413,12906254,8779506,5718033,3795087,3795090,6065608,9261021,12140752,13650465,19118935,19118934,25757383,25574499,18965870,18965868,25574490,25925429,30560804,30232750,22840143,17328713,17328714,23645571,23645620,17328750,12203712,8235342,5307486,5307487,7891536,11813294,13530542,9260950,9260949,13530536,13910929,13910928,18965939,18232897,18232898,23645539,19440376,19158645,19158644,19440404,13910940,13910943,19440412,19440422,19440424,26136294,30561002,25574980,18966163,18966162,13650471,13650469,19118960,25757440,33546136,33603422,33603421,30560759,23143749,23143748,30560754,39157970,42315304,52702587,60131040,53510738,48421132,38514006,29949561,29949560,38514001,48421123,42314554,36922008,28423617,28423618,36922013,46800092,58167530,48955230,39033203,30443875,30443876,36921418,28423195,21200186,21200187,28423201,36921427,30434097,23027731,23027732,30434104,39023594,42314528,52701691,46882439,46882440,58249655,70965759,70966068,84529329,72224682,70966049,58249772,58249773,70965748,58249394,58249393,46882689,37003683,37003682,46882671,48100365,59488909,59489000,59489001,48100440,48100438,49839330,49839329,60356328,48960537,39039091,39039090,48960534,60356323,59488932,49839320,49839319,52300584,46882171,37003368,28505439,21286514,21286515,23027776,23027778,30434091,30434092,39023573,48946334,46882086,46882087,46882541,46882432,37003535,28505538,28505537,37003532,46882425,58249639,70965969,75820275,72224687,63408565,59488988,258039871,58249625,70965956,84529271,98450992,90282554,90282555,84529285,258358977,51665323,41423173,41423172,51665321,258358975,90282684,271145110,84529119,70965674,70965675,77301013,91221086,84529332,70966075,58249810,58249811,70966079,84529336,90282440,100659928,269339388,63408646,257157493,24911427,24911426,24911443,32563225,41423167,38188621,29621358,28505496,28505493,33334134,28505513,21286548,21286546,28505510,37003485,37003634,28505636,28505635,37003721,46882299,46882300,58249376,46882234,37003405,37003404,46882227,41959543,41959541,52300315,51665135,41423046,41423047,51664967,46882564,46882565,58249831,46882573,46882571,58249841,51665358,51665029,41422975,32563109,24911375,18406130,13073785,8908877,5813664,5813667,8908887,13073806,18406175,24911462,32563256,41423223,51665399,51665388,51665387,63408843,76452729,77300998,64152346,64152345,70966159,70966317,58250054,58250055,70966322,72223578,59487497,59487496,52701768,42314595,42314596,52701770,64602465,77785552,71009315,71009316,84573144,98496033,99433663,85492103,71907142,60356133,48960350,48960349,60356130,63408180,63408179,76452175,72343891,59609553,48222708,48222709,59609556,60332556,48934694,48934695,60332559,71907224,59169140,47770342,37847471,37847473,47770347,39163127,39163128,49092950,60496238,73243009,78898608,71154207,71154206,71907086,71907087,257008854,60097294,48701465,48701463,60097293,71907453,85492353,99433732,85492232,71907276,59169190,59169193,71907019,71907018,61636999,50154197,40132409,40132410,50154202,60356173,62470501,64151848,64151847,77300671,74158719,74158717,72833955,72833951,61378282,60097298,60097299,71172746,60097301,255496244,40757840,40757839,50872537,62470504,61378277,49897885,39876419,31195310,31195311,39876425,33297249,33297251,28660198,28660197,22803946,22803947,30194601,38778958,46917232,48098819,38187355,30194649,22803972,22803971,30194646,38779036,48701422,47770585,37847653,29280028,21955377,21955379,29280035,37847661,47770594,52299158,41958195,39038956,39038955,47880190,59275568,48218266,38308519,29740243,29740244,38308521,48218273,59605091,59168999,47770252,37847421,37847420,47770207,37847382,37847383,47770211,48090216,38178431,29611613,29611614,38178434,41958256,33015704,25290411,18717273,18717275,22804012,16586603,11566579,7698637,7698636,11566571,16586584,22803981,30194664,38779067,38779108,37122253,37122255,47008985,47009263,47009264,43969367,43969368,54713166,54713175,66972374,59169295,59169296,71907364,255938936,256982602,74548020,71096816,58380213,58380212,71096813,84659721,268634940,72217019,59479785,59479784,72217016,60097321,48701493,38779091,30194682,30194683,38779095,48701498,52299151,60097148,48701434,48701433,47008996,37122260,37122259,47008992,47771051,37848040,37848039,47771050,41958184,41958183,47009067,58380056,58318194,47009066,47009065,37122297,28611635,21376264,15394788,15394789,21376266,28611640,37122305,47009068,47009069,58380058,256879312,59154799,52299558,52299559,47009042,37122285,28611630,28611628,37122281,47009035,58380029,65880320,53812179,43287067,43287066,53812169,65880311,75820284,62856675,51206976,51206977,47009062,37122295,37122294,47009058,58318095,58318093,59604888,48218211,48218212,58318100,58318099,46951246,269311025,59605257,59489075,59489073,48218240,48218239,59605049,59605238,48218441,38308674,29740358,29740360,37071412,37071413,46951235,58318184,71033862,73434206,60686396,60686395,71033791,58380027,58380026,59403195,59605371,48218609,48218610,41958727,41958728,52299728,60686377,72339243,65880316,59604522,48217624,38307878,29739776,29739775,38307874,38308479,29740209,22381694,22381696,29740097,29740098,38308297,48217999,48217714,48217715,59604623,48217862,38308689,29740363,29740364,38308694,48218457,59604613,59604136,48218135,48218134,49097626,46586379,36699666,36699665,46586375,48217145,38307463,29739472,29739471,38307461,48217141,38307830,29739725,29739724,38307184,38307185,29739786,29739787,38307897,38307339,29739388,29739389,38307342,38308095,30757638,23335034,17068798,17068797,23335032,30757633,39358372,268964720,29740220,29740219,38307762,40425953,38307293,38307292,40425980,31732044,24223738,17852194,17852195,24223758,31732076,39358441,30757695,23335070,17068820,17068816,22381390,16224298,11278546,11278548,16224301,22381397,22381581,16224403,16224402,22381510,29739932,36526588,29739486,22381525,16224369,11278587,11278586,7486870,7486871,11278671,11278594,11278595,16224396,22381568,29740013,38308184,46386634,36526761,36526762,29739387,22381185,16224191,11278496,7486798,7486799,11278502,16224206,22381207,29739427,38307389,40425996,38307639,29739862,22381464,22381319,16224257,16224258,16224347,22381480,22696951,16494376,11492162,11492163,16494383,22696965,30077964,38308066,38308858,36526578,28060770,28060771,30451146,23043057,20931059,15023106,15023105,16224523,22381800,29740415,33315317,25553469,25553468,33315314,42295867,38308219,38308218,46386565,48216962,38307263,29739330,22381146,16224173,16224172,22381135,29739309,38307234,38307661,29739614,29739616,38307632,29739590,29739591,38307634,48217353,57736361,268964736,36526705,256457172,48961466,60357038,72115115,59383001,59383002,72115116,85700944,257650590,99888467,85932981,85932983,99888470,113907094,100383944,89200353,89200352,83956861,70430540,64151809,60501298,49097617,39167392,30569506,30569505,39167387,49097609,59488477,59488476,72224345,72105269,59372668,47982537,38070284,29506658,23216662,16944433,11859168,11859167,16944426,23216658,30639888,33015610,25290489,25290488,33015836,41958151,41958149,41959804,50922872,41959858,33017111,33017112,33016084,25290656,25290657,32044042,24479128,18057110,18057109,18057045,18057044,24479024,32043872,40803718,257184369,41958716,41958714,33016949,25291313,25291311,256061965,18057025,12801372,12801373,18057030,18057052,18056996,12801357,8703748,5665841,5665843,8703755,12801369,13324378,9104035,9104038,13324389,18717935,13324370,13324338,13324339,18717863,25291368,32256299,25290944,25290945,21209069,15242586,15242585,21209064,28433150,36931898,32044000,32044001,40803856,33015601,25290335,25290336,24478837,18056911,18056914,24478843,32043656,33016280,41958949,41958961,33016289,33016288,25290817,18717507,18717504,25290812,25291531,24478895,18056955,12801337,8703739,8703740,12801340,18056964,13324397,9104044,5957000,3725362,2230487,2230486,3725356,5956986,9104012,13324332,13324307,13324310,18717816,25290961,25290960,257184431,52300006,257513836,62472057,75387874,86031799,270960640,85775517,89132777,75387862,75387863,258835850,84428491,70871141,62472108,50874011,50874010,62472107,75387930,89132827,90878411,90878410,103221315,89132763,75387830,62472013,50873928,50873929,258939449,70871132 Dl.O(d2) = 51000722,40865905,32094243,32094242,40865904,268476832,75562357,71124702,58406875,269638465,55355130,44508741,44508742,44508697,35132107,27046567,20154080,14457943,14457944,20154082,27046569,35132112,44508753,38895814,38895813,38895815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6529407, s2 = 8112711, dlinesl.size( ) = 2 s1 = 6529407, s2 = 8112711, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6529407, Dl.E( ) = 34, 2e-05 seconds used appending s1 = 10193213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15093283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16327088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6578987, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6470192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6470192, s2 = 14529, int(edited[s2]) = 0 s1 = 6470192, s2 = 14529, d1 = 13, d2 = 7 Dl.O(d1) = 254887829,256082831 Dl.O(d2) = 210566,382701,686000,254288367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6470192, s2 = 14529, dlinesl.size( ) = 20 s1 = 14238831, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 511325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15345895, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14892913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14648690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14648690, s2 = 6530622, int(edited[s2]) = 0 s1 = 14648690, s2 = 6530622, d1 = 40, d2 = 37 Dl.O(d1) = 14883619,12809432,9415011,8711613 Dl.O(d2) = 255633645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14648690, s2 = 6530622, dlinesl.size( ) = 2 s1 = 14648690, s2 = 6530622, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14648690, Dl.E( ) = 50, 1.81e-05 seconds used appending s1 = 514446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14577040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14577040, s2 = 9697573, int(edited[s2]) = 0 s1 = 14577040, s2 = 9697573, d1 = 25, d2 = 23 Dl.O(d1) = 258994569,63662516,51866978,257165113,32681197,268286689,268286691 Dl.O(d2) = 60803250,73550214,87168584,260085697,103494223,260194207,259469303,73550219,60803253,49402668,39474257,39474256,39474285,30870873,30870872,39474284,49402704,258222183,73550212,259469299,101166653,87168611,257682964,49402702,39474282,30870870,23442353,17168221,17168220,255986473,39474279,49402671,39474260,39474259,49402663,269375663,54674286,66930918,80356882,94410926,108697842,270809800,258055468,67808774,67808773,62809580,62809581,75627138,89388200,258055470,131411038,259925740,129175249,122962834,122962835,114006787,99981917,99981918,260610597,137504050,123780183,109590335,95335495,81276476,81276477,89541863,89541862,258055466,127886236,115244207,260096448,114006791,99981923,99981924,103649966,89541849,75767044,62809571,60803279,257444806,258679804,101166662,87168616,73550241,62809578,51164818,41012348,32223139,24628287,18175000,18175001,24628290,255538439,12071508,12071509,17168224,23442360,30870882,39474270,30870877,23442357,23442358,30870878,39474291,49402711,49402712,60803282,73550243,87168601,101166646,98470466,98470465,91692565,257640496,42294801,33314370,25552655,25552654,33314369,42294800,52681319,64581714,58583456,58583457,58270882,58270883,60206432,72946385,86546270,268109858,84890954,98818192,98818193,84890955,255803424,70985381,70985380,64581702,52681309,42294790,42294789,47192185,58583452,58583462,58583463,58583465,47192198,47192199,58583466,65776294,60658694,60658696,49259554,256478909,23316831,30736297,30736040,23316640,17052743,11962746,8007842,5097787,3094230,1807919,1807920,3094233,5097810,8007883,11962735,17052732,11962831,11962830,17052921,23316925,23303136,17042710,16660090,16660091,22888972,256447227,48794921,49175784,60574524,60658030,60658029,60658127,49258607,39333371,30735748,23316458,23316456,30735745,39333367,49258604,39333556,39333553,49258854,258023294,58035428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14577040, s2 = 9697573, dlinesl.size( ) = 2 s1 = 14577040, s2 = 9697573, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14577040, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 6452788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7908530, s2 = 6503378, int(edited[s2]) = 0 s1 = 7908530, s2 = 6503378, d1 = 42, d2 = 57 Dl.O(d1) = 254928879,9270788,13542378,13542399,13542397,18978563,254540596,10871929,7188263,4528716,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,1175659,2049899,3457654,5573663,5573662,8176888,5246453,3204659,3204658,5246450,8176877,12147139,16426535,11441835,11441834,11610040,7729874,7729875,11610047,10512555,7497048,4739122,2856182,1657646,1657644,2856175,4739108,7497022,10725855,7682369,7682371,11547061,15576970,21605338,28881234,34268738,34268739,36927979,28429338,21205543,15239391,15239392,21205548,19650579,19650580,17841743,17841746,17840207,17840206,20167950,25572611,18963649,18963647,254785404,17845680,12637405,8580281,8580279,8580277,5574883,3458211,2050132,1175753,660013,660014,1175756,2050136,3458218,5574892,8580294,8580907,8580908,12638118,12638117,17846636,19666765,19659370,18535292,13170104,8977669,8977668,13170124,14195861,16210331,11268430,7480247,4727347,4727349,7480258,11268447,14088160,14088159,11546694,7682162,4860916,4860913,7682150,11546670,9695057,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580755,8580756,11547127,16564300,268245527,12028929,12028930,12029188,8087094,8087093,12029187,17117683,17482480,13136316,13136315 Dl.O(d2) = 31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035709,37533596,28988817,28988816,37533590,46399324,40510788,31814782,31814779,29244992,21925173,15839118,15839119,21925179,29245000,37809468,47441726,37533811,31559389,28989015,28989014,37533768,28988961,21705120,15663694,15663681,15663682,15663609,15663597,15663596,21705013,28988801,37533571,30791613,23365755,17096701,17096702,23365762,30791625,39394160,37533719,37531288,37530781,28986180,21702954,21702939,21702941,21702971,28986197,37530806,28988822,28988820,37533603,47439482,50546476,40510784,37530757,37530758,29244979,29244973,28989192,24054695,24054697,31559404,37533817,28989024,28989006,21705180,21705179,21705315,15663832,10843261,10843178,10843169,10843129,7168100,7168098,10843123,15663603,21705021,28988809,23365771,17096706,12009977,12009978,17096712,23365780,30791598,28988904,28986542,23879701,21702965,15662105,10842197,10842198,15662111,21702979,21705352,21705353,28989223,37534001,46924784,46924785,39794416,37530762,28988893,28988892,37533709,37533748,28988938,28988941,28989039,21705189,15663738,10843197,10843196,15663733,10843279,7168173,7168165,7168116,4514620,2712677,2712676,4514615,7168105,10843161,15663676,21705104,23365730,17096685,12009970,12009972,17096693,21706829,21706830,21703200,15662268,15662267,15662137,10842210,7167565,7167564,10842203,15662117,21702987,28986221,37046690,28547087,21323019,21323022,28547094,37046698,39733663,31704288,24196636,17827344,12622666,12622665,17827341,21705359,21705200,15663743,15663744,10843290,7168183,4514660,2712695,1571416,893429,893428,1571411,2712689,4514641,7168144,10843224,15663780,21705253,28989109,37533876,37533847,28989067,28989066,22788818,16572957,11554016,11554015,10842259,7167594,7167589,7708888,4878719,4878720,6342606,9646628,255303539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7908530, s2 = 6503378, dlinesl.size( ) = 2 s1 = 7908530, s2 = 6503378, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7908530, Dl.E( ) = 58, 2.38e-05 seconds used appending s1 = 6497669, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9755668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 516331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 516331, s2 = 15091945, int(edited[s2]) = 0 s1 = 516331, s2 = 15091945, d1 = 0, d2 = 17 Dl.O(d1) = 13163726 Dl.O(d2) = 257759745,51993063,41681898,32765970,32765969,41681895,51993060,63808403,256287298,48601086,38685007,254715782,16522358,11514838,11514839,13634352,9336200,9336199,8965718,8965719,13153904,14923905,14923904,20821695,23325857,23325858,255007302,27276288,20340324,17864522,14915049,10255633,6738932,4222615,4222614,6738953,10255673,14915112,20810952,20345053,14602433,10047848,10047846,14255627,14255626,10045804,6601554,6601550,10045794,14599491,13173532,13173529,15593928,15593926,14560371,10019284,6585374,6585375,6853317,6853318,10323892,6793009,6793012,10323896,14992901,20873745,14971745,14970716,10302898,10302899,14970718,20872845,23936280,255364468,35406987,256269814,20824518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 516331, s2 = 15091945, dlinesl.size( ) = 12 s1 = 1298463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 421764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16295761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6453024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6453024, s2 = 9088529, int(edited[s2]) = 0 s1 = 6453024, s2 = 9088529, d1 = 88, d2 = 58 Dl.O(d1) = 254639856,13198806 Dl.O(d2) = 20144984,20144983,21122297,22518769,20989656,15076436,15076435,15474057,10700488,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,16177170,17552781,18970965,13535728,9265465,6068810,6068808,9265462,8621916,8621918,12691825,17550802,12380445,12380444,17550798,17576034,12404173,8383036,8383035,12404167,16560768,22776042,16561689,16560916,16560917,16494334,11492138,7643418,4835469,4835465,7643390,9246064,6055601,6055600,9246061,13512904,10689911,7062068,4446254,2671064,2671067,2671059,2671058,4446238,7062027,10689834,15460284,21460265,28716070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6453024, s2 = 9088529, dlinesl.size( ) = 2 s1 = 6453024, s2 = 9088529, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6453024, Dl.E( ) = 96, 4.1e-05 seconds used appending s1 = 991848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 728599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 728599, s2 = 5232764, int(edited[s2]) = 0 s1 = 728599, s2 = 5232764, d1 = 20, d2 = 64 Dl.O(d1) = 18627935 Dl.O(d2) = 217372988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 728599, s2 = 5232764, dlinesl.size( ) = 2 s1 = 728599, s2 = 5232764, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 728599, Dl.E( ) = 72, 1.6e-05 seconds used appending s1 = 14051992, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8156274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7982349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7982349, s2 = 6735360, int(edited[s2]) = 0 s1 = 7982349, s2 = 6735360, d1 = 38, d2 = 11 Dl.O(d1) = 9405523,9405522,13729721,10255860,10255859,11188574,7423819,4691264,2826705,2826702,3941414,3941412,6292771,7423742,11188454,13684421,9371379,9371376,9371368,9371366,13684389,13684431,13684430,19163631,14030582,9645946,9645942,14030569,19584132,16519197,16519198,12586098,8538496,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,11843551,11843550,16923034,18428128,13089575,13089576,18235949,18235950,255250388,14964889,14964888,19501438,19501441,17950331,12720074,8643084,5621365,3492347,2074643,1191849,1191850,2074652,3492362,4847119,2920715,1694174,1694173,2920708,4847105,7661117,11517009,11517038,13274858,9059611,5923409,4846595,4846597,4846769,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,1645295,1645296,2836127,4707921,7451286,10354748,13636525,19099947,25732437,23829484,17491433,254643280,8331234,12332820,17491435,268140509,9087665,9087663,13306061,18699035 Dl.O(d2) = 257855447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7982349, s2 = 6735360, dlinesl.size( ) = 2 s1 = 7982349, s2 = 6735360, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7982349, Dl.E( ) = 42, 1.1e-05 seconds used appending s1 = 732050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 732050, s2 = 7106829, int(edited[s2]) = 0 s1 = 732050, s2 = 7106829, d1 = 1, d2 = 90 Dl.O(d1) = 18699680 Dl.O(d2) = 262671530,262666301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 732050, s2 = 7106829, dlinesl.size( ) = 20 s1 = 735089, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 735861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 736353, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9348548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9348548, s2 = 16187071, int(edited[s2]) = 0 s1 = 9348548, s2 = 16187071, d1 = 7, d2 = 4 Dl.O(d1) = 18786464,13380769,9146190,268023467,9146189 Dl.O(d2) = 18786463,25370683,33105684,258396865,256361498,53516434,43038171,33980807,26141285,26141284,33980804,43038169,53516433,48429729,38522097,29957037,22592535,22592534,29957035,38522094,34213004,26339372,26339371,28769581,28769582,37302961,47209647,268792716,49083479,49083480,60486949,65115901,53130375,47209229,43312987,34215064,34215065,37302918,37302919,30555704,23138297,23138298,30555707,39153367,49083485,60486952,53529004,49871926,39849604,39849605,33649360,33649359,42679283,255297434,74483976,88096216,102083180,105056895,90877993,76999913,63889903,52072438,52072437,57722674,52455777,42103273,33149049,25408534,18817917,13916547,9551612,6267356,6267358,9551623,13406220,18817838,23032433,30439284,39028765,48951022,39517054,30908172,23472785,17191409,12660410,12660409,17876975,24254589,255823563,15325007,254728673,4387188,2628118,2628117,4387187,5287248,3239087,1900357,1084750,1084751,1900362,3239099,3026734,1760845,1760846,3026738,3024973,3024975,3238710,5005832,3026446,3026444,5005824,4999436,3020934,1755811,999186,999188,1755776,999166,999154,999155,1755758,3020859,4999318,3024671,3024669,5003849,7880109,11798913,7880644,7880643,7880892,7880894,10585173,11801298,7881937,5005443,254318680,1002680,1002681,1760403,3026128,5003633,5003584,5003582,7879822,10585346,7878641,7878632,5002471,5002472,5003361,7878622,10015875,11362827,11797356,7878556,5003594,5003595,5003611,5004238,3024935,1759213,254249959,1758868,1001441,1001440,1758864,3024468,5002456,3023324,1757797,1000614,1000613,1757793,3023316,3026952,3026951,5006470,254373433,1758940,1001490,564204,315965,174728,174726,315955,564187,565235,564084,564086,1001291,1758538,1758828,1001417,1001273,564155,564157,1001411,1758820,3024367,1760258,1760259,1760988,1759827,1002162,564616,564615,1002155,1002179,1002178,1759847,1756308,1756309,1761215,1003247,565344,316642,175086,96253,96252,175037,316575,565259,1003152,1001171,564015,564017,999013,1001162,1755542,1755637,3020698,3023105,3023106,1761107,1761106,1761115,1761116,3026968,4999689,4999688,5001318,5001319,3028071,1761905,1003768,565666,565435,565433,1003374,1756083,254128181,562928,315250,315249,562939,999370,564605,316190,174843,96126,96125,174839,316178,564589,1002120,1759767,1003621,565567,316771,316770,565562,1003610,1761710,3020309,3020310,3023305,3023306,4999937,3026812,1760914,1003024,1003025,1760908,1003018,565165,316524,175009,96216,96217,175012,316531,565174,1003030,1760893,1003001,999290,562849,562847,565270,999375,999086,999087,1001034,1758326,1758423,1002085,564565,316166,316167,564569,564574,1002091,1759732,3025512,254558187,11791538,268240375,16863033,268082672,7883686,7883685,7354589,254764265,254373111,1756867,1756866,3022127,5000820,7876385,7877470,5001614,5001615,3022693,1761731,1761732,3027832,3022280,1756963,1756958,1756959,3022268,1761944,1761945,3028138,254558471,254249777,1757445,3022955,3022959,3022960,5002079,7878162,5002377,5002376,7878529,11797330,16863679,11795609,7885248,5007849,4998822,3020347,3020346,4998816,7873998,11791663,11794504,7876234,7876235,11794508,7876578,5000961,3022233,3022234,5000966,7876588,11794399,7876141,7876142,11794406,7883208,7883210,11795888,11795886,16862813,11794692,11794693,11794656,11794657,16862779,11805520,11805519,16869434,16869433,23129003,23123747,16863992,16863993,23120335,16860509,11792734,7874916,4999707,4999709,7874920,7874948,11792773,11792637,11792639,7885485,7885486,11791647,16859213,11792753,11792754,11800202,11800203,16862903,16862904,23122918,30541704,30539284,23130770,16870321,11801227,11801230,16870327,23130773,30548991,30553475,23135066,23135067,30539276,23120354,23120355,256340352,30539916,23120982,16861066,11793257,7884801,5007497,3027676,3027675,5007493,7884795,11805136,16874881,16874808,11805086,7884768,5007477,5007475,7884761,11805073,16874526,11804858,11804860,16874506,11805986,11805720,7885290,7885289,11805714,16871914,16045084,16045082,11793490,11793492,11805305,11805304,11792930,11792931,11795370,7877039,5001300,3022462,3022463,5001305,7877049,7885027,11805472,16870292,11801207,7881877,7881876,5007461,5007462,7875337,7884779,5007486,5007484,7884774,11797025,7878276,7878279,11797033,11805797,11805798,11804931,7884682,7884685,11804941,14567331,14567330,20299593,23123628,16875458,11805701,11805702,16863503,16871920,16045061,11140908,11140910,15536182,15536183,16870213,11805788,11805789,16870048,16863388,11795351,11795350,7877062,7877063,11795436,16863519,16870229,11801159,7881849,5005371,5005369,7881844,11801153,16870217,23125446,16865409,16865410,23125449,27229225,28503433,21285007,21285009,22232398,16875991,11806245,7885705,267835753,3028239,5008195,7885701,11806239,16875985,15536029,10744616,7098897,254318918,15536026,20299492,14567240,10023869,6588026,4127446,2468998,2468999,4127450,6588035,10023889,7878679,7878680,10744371,7098764,4469641,2685469,2685467,4469646,7098778,10744401,15535689,15649625,15536388,10744852,10744850,11800013,16868960,23129376,27229166,20300123,14567754,14567755,17103995,16097428,11180672,7418237,4687821,2824738,1638982,1638983,2824740,4687826,7418247,11180688,16097458,22232310,16924521,16924522,23191360,30610949,37367348,254696884,21556329,28827168,37367345,256878171,35351603,44776133,55684308,258551813,81572643,95606642,109809872,123947227,262098347,142155782,128800960,114903637,100852885,86871818,73259275,60513098,49110131,39180648,30582941,23165161,23165162,23166067,16903337,11829217,11826344,7905375,7905376,254559993,5024184,7903791,7903790,7905100,11828768,16902620,16903143,16198328,11260188,11260189,16198330,22348275,16198228,16198227,16475240,16475239,16899026,11826747,7903794,7903793,11826746,16899558,22117889,17093384,12006581,12006582,17093386,23160627,16899313,16899312,22348316,16899544,16899545,23160921,21306689,15337192,10593029,10593028,11111162,11828891,16902791,22348363,22348365,22348367,22348355,16198302,11260161,11260160,7905179,7905180,11828848,16902710,23160616,29702654,22371763,16216862,16216863,11826454,7903589,7903588,11826451,16899196,16641369,11826487,11826486,15337199,21306694,28528888,21306702,15337212,15337211,11826521,11826520,16899290,23160202,23160203,23160197,16898959,16198288,11260149,11260148,15380154,15380155,21357645,16903142,16899279,11826514,7903625,7903624,7471587,4721771,4721772,5131353,7903617,5024047,5024046,7903614,11826496,16899251,16902678,23165208,30582982,37095124,37095125,46978476,38334744,29764013,29764012,255132844,38334715,38334716,44797228,38295307,37894958,29326540,29326539,31086528,23602349,23602350,29548427,38111482,48021328,48021322,38111478,29548423,22204848,22204847,29548419,32159925,24575481,18133523,18133522,24575477,32159919,255928742,38446858,268629534,24282859,17902164,17902163,24282856,29765053,22402461,16240527,16240528,22402462,29765058,38334757,29764023,22401566,16239776,16239777,22401568,29764025,35040181,26960397,20076726,20076723,26960389,32159926,40938134,38334749,30448176,23040317,255128481,254555477,3006666,3006667,267898483,11743530,16795452,23040330,30448200,268424896,20076733,26960412,35040207,37909120,29340227,22008599,15907330,15907332,22008606,22402180,29764739,256464038,30448183,23040321,16795446,16795445,23040319,29764761,268226465,16240282,22402189,29764758,29764757,38335481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9348548, s2 = 16187071, dlinesl.size( ) = 2 s1 = 9348548, s2 = 16187071, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9348548, Dl.E( ) = 8, 2.29e-05 seconds used appending s1 = 15587483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15587483, s2 = 7019206, int(edited[s2]) = 0 s1 = 15587483, s2 = 7019206, d1 = 1, d2 = 1 Dl.O(d1) = 180536177,170403704,159069801,262454255,260849179,105361323,91142232,91142231,105361322,260849181,111858848,259880963,84053912,70518782,57817456,46461301,36594993,28121844,20944573,20944572,256282867,46461292,258010819,259261983,259354746,105760902,91538689,77609349,268629066,42205272,33243685,25493339,18888734,13460674,13460675,18888736,17553589,12383129,8367813,8367814,12383135,12376922,12376924,17383196,12383769,8368237,5400836,3320698,3320697,3323291,3323292,3324653,5404596,3322749,3322752,5404608,8374388,8379976,12399822,8380272,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679861,7787349,4937090,4859536,4859534,7680061,11543853,12402171,8381648,5408996,3325262,1955761,1117208,1117206,1955755,3325248,5408970,8381608,12402107,17573972,23916255,23916276,17573988,17573987,23916271,23719278,23702559,23702561,31192043,31219161,31219160,31391990,23897431,17551878,12381427,11300272,7502514,4742450,2858101,2858102,4742453,7502517,11300276,16253669,16560582,11543319,11543317,11543347,11543346,11678840,11678838,16720494,16561170,16561169,17574029,12402143,8381629,5408983,3325254,3325255,5408987,8381634,12402050,12402094,12402102,17573966,23916246,23916280,17573992,12402115,8381614,8381615,12402119,17573995,23916285,31407108,39895859,39895858,40073551,31391987,30646975,25055695,25055696,25492908,18888350,13460357,9204907,6026417,5360422,5360419,8307813,6026555,6026553,9205144,13460677,18888737,255066716,42205282,52565778,64441048,257495708,91538694,105760904,261434350,126948137,113093606,99105689,85184029,71619645,58899730,47519675,37614259 Dl.O(d2) = 180536177,170403704,159069801,262454255,260849179,105361323,91142232,91142231,105361322,260849181,111858848,259880963,84053912,70518782,57817456,46461301,36594993,28121844,20944573,20944572,256282867,46461292,258010819,259261983,259354746,105760902,91538689,77609349,268629066,42205272,33243685,25493339,18888734,13460674,13460675,18888736,17553589,12383129,8367813,8367814,12383135,12376922,12376924,17383196,12383769,8368237,5400836,3320698,3320697,3323291,3323292,3324653,5404596,3322749,3322752,5404608,8374388,8379976,12399822,8380272,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679861,7787349,4937090,4859536,4859534,7680061,11543853,12402171,8381648,5408996,3325262,1955761,1117208,1117206,1955755,3325248,5408970,8381608,12402107,17573972,23916255,23916276,17573988,17573987,23916271,23719278,23702559,23702561,31192043,31219161,31219160,31391990,23897431,17551878,12381427,11300272,7502514,4742450,2858101,2858102,4742453,7502517,11300276,16253669,16560582,11543319,11543317,11543347,11543346,11678840,11678838,16720494,16561170,16561169,17574029,12402143,8381629,5408983,3325254,3325255,5408987,8381634,12402050,12402094,12402102,17573966,23916246,23916280,17573992,12402115,8381614,8381615,12402119,17573995,23916285,31407108,39895859,39895858,40073551,31391987,30646975,25055695,25055696,25492908,18888350,13460357,9204907,6026417,5360422,5360419,8307813,6026555,6026553,9205144,13460677,18888737,255066716,42205282,52565778,64441048,257495708,91538694,105760904,261434350,126948137,113093606,99105689,85184029,71619645,58899730,47519675,37614259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15587483, s2 = 7019206, dlinesl.size( ) = 2 s1 = 15587483, s2 = 7019206, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15587483, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 741739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 742075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 742075, s2 = 13179281, int(edited[s2]) = 0 s1 = 742075, s2 = 13179281, d1 = 1, d2 = 1 Dl.O(d1) = 18904067,18904068,18263553,12959943,8819753,6033877,3774807,2709138,2709143,2263070,1313021,1313022,1569385,892407,892408,1569326,2262338,3776428,6036354,6032462,254300299,2261095,3773882,6032460,9213713,255264467,25513799,33274276 Dl.O(d2) = 18904067,18904068,18263553,12959943,8819753,6033877,3774807,2709138,2709143,2263070,1313021,1313022,1569385,892407,892408,1569326,2262338,3776428,6036354,6032462,254300299,2261095,3773882,6032460,9213713,255264467,25513799,33274276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 742075, s2 = 13179281, dlinesl.size( ) = 2 s1 = 742075, s2 = 13179281, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 742075, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 16195444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16195444, s2 = 14186772, int(edited[s2]) = 0 s1 = 16195444, s2 = 14186772, d1 = 22, d2 = 15 Dl.O(d1) = 97685291,102307738,88312224,74684511,61890916,50400375,40365083,40365084,41301396,33556775,25767236,25767235,33556774 Dl.O(d2) = 8777844,8917542,9184698,9184697,12893714,10324749,6793739,6793740,6848546,4297358,2569214,2569212,4232843,4232845,2537521,2537519,4244016,5377568,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,1474090,1474089,2559363,4256535,2544653,1466008,829515,829516,1466010,2544660,2546472,2224224,2224226,3714425,2926014,2926013,4855443,4855131,2925805,2925806,3715410,3715409,4254695,2945017,2945018,4230905,4230907,4248367,4251196,5378709,4264787,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249903,6773902,6773904,6805695,10338475,10297338,10297337,10299039,6771731,6771732,10299043,14966692,18699110,14963011,10295397,6768455,4241992,4241993,6768458,10295400,10328207,10307436,10307437,9101006,9058703,5922679,5922681,9058707,10280006,6847942,6847943,9102438,6743405,6743402,8132908,8132907,6755682,6755681,6822007,6782158,5586769,3466052,3466051,3466129,2550819,2550816,4266518,4261644,4261643,6796534,6817836,6817839,4585246,4585245,3177487,1860028,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838669,6838788,6838833,10378552,15052552,13542654,13542653,254655092,22382984,22382982,18978870,18978869,25587712,25587874,25587873,33348132,42329564,39535036,39535035,33347885,25587698,25587699,30923776,23486063,23486064,30698141,23282605,17023360,17023361,17415365,17415364,23739646,28102454,28102453,32242829,41035140,33345571,25585753,18977235,13541336,9269979,9269977,13541329,18977220,25585727,23486217,23486218,30923966,39535082,49469276,254448130,254928646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16195444, s2 = 14186772, dlinesl.size( ) = 2 s1 = 16195444, s2 = 14186772, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16195444, Dl.E( ) = 42, 2.38e-05 seconds used appending s1 = 14099997, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6533881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6533881, s2 = 2341067, int(edited[s2]) = 0 s1 = 6533881, s2 = 2341067, d1 = 29, d2 = 15 Dl.O(d1) = 255668523,13484262,9225489,6041751,3779817,2264031,1313341,1312732,749440,425992,425990,749502,1313022 Dl.O(d2) = 63247444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6533881, s2 = 2341067, dlinesl.size( ) = 8 s1 = 13372331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6453910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6453935, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11062182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14871307, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6500039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13211887, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11166126, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 746470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 746470, s2 = 14029415, int(edited[s2]) = 0 s1 = 746470, s2 = 14029415, d1 = 6, d2 = 3 Dl.O(d1) = 18996262,13556436 Dl.O(d2) = 18165793,24615586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 746470, s2 = 14029415, dlinesl.size( ) = 2 s1 = 746470, s2 = 14029415, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 746470, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14291881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101123, s2 = 6454329, int(edited[s2]) = 0 s1 = 14101123, s2 = 6454329, d1 = 1, d2 = 5 Dl.O(d1) = 259493630 Dl.O(d2) = 25690171,19066065,13611414,254658533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101123, s2 = 6454329, dlinesl.size( ) = 2 s1 = 14101123, s2 = 6454329, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14101123, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 13383123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14483178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11165576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7575691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7575691, s2 = 15563986, int(edited[s2]) = 0 s1 = 7575691, s2 = 15563986, d1 = 64, d2 = 82 Dl.O(d1) = 268304073 Dl.O(d2) = 23654163,22509132,22509131,22510366,16336584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7575691, s2 = 15563986, dlinesl.size( ) = 22 s1 = 14086535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 538806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 538806, s2 = 13501215, int(edited[s2]) = 0 s1 = 538806, s2 = 13501215, d1 = 15, d2 = 16 Dl.O(d1) = 19181033,13697619,254662713,6145812,6145707,6145709,3996338,3996340,6173862,6173864,9422311,6240876,6207350,3885256,2326459,2326460,3885258,2364154,1368859,1368861,2334014,1352779,771653 Dl.O(d2) = 771921,438462,438460,441832,778731,1367288,254309223,6296879,9591659,13968494,19514201,256178479,34091450,43175126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 538806, s2 = 13501215, dlinesl.size( ) = 18 s1 = 232755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 232755, s2 = 3188593, int(edited[s2]) = 0 s1 = 232755, s2 = 3188593, d1 = 48, d2 = 14 Dl.O(d1) = 5675719,5675720,6519909,4085150,4085151,6519913,6994831,4395910,4395911,6994834,10601841,10600430,9916398,254975751,13739538,19231644,25891053,257234193 Dl.O(d2) = 100286893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 232755, s2 = 3188593, dlinesl.size( ) = 32 s1 = 755757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7956811, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 756560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 756560, s2 = 11407526, int(edited[s2]) = 0 s1 = 756560, s2 = 11407526, d1 = 2, d2 = 41 Dl.O(d1) = 19252499 Dl.O(d2) = 262665213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 756560, s2 = 11407526, dlinesl.size( ) = 14 s1 = 11071988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071988, s2 = 13383124, int(edited[s2]) = 0 s1 = 11071988, s2 = 13383124, d1 = 15, d2 = 45 Dl.O(d1) = 61935572 Dl.O(d2) = 26144320,33984192,268754050,51315635,41132082,41132081,51315633,51315629,51315630,55365328,62695488,62695489,59127909,49361191,39431595,30827373,23399663,23399665,30827382,33997132,32318373,32318372,35142841,27057541,27057540,28152893,20974408,20974409,256286091,41945644,52286186,44519282,44519281,55365309,62695505,51066436,51066437,59024800,59024801,54645290,43902104,43902103,52178686,64012030,67705036,55365267,44519222,44519220,51922340,51922338,59127925,47729417,37807541,37807540,47729413,59127905,63545767,55361298,55361297,67701286,59628520,48241315,255634816,22398896,16237848,16237849,22398898,29760598,38331012,46492849,36626375,28152804,28152805,36626379,46492855,57848868,59628467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071988, s2 = 13383124, dlinesl.size( ) = 2 s1 = 11071988, s2 = 13383124, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11071988, Dl.E( ) = 64, 2.6e-05 seconds used appending s1 = 167121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 759840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 805841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7840948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 762808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 762808, s2 = 6543609, int(edited[s2]) = 0 s1 = 762808, s2 = 6543609, d1 = 6, d2 = 23 Dl.O(d1) = 19417805 Dl.O(d2) = 255792375,19879588,19879589,256206429,43026661,33968782,33968783,37970372,30211146,26700478,26700474,25639528,19022777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 762808, s2 = 6543609, dlinesl.size( ) = 2 s1 = 762808, s2 = 6543609, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 762808, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 546258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 546634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7835542, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14040038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 763452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 763452, s2 = 5263378, int(edited[s2]) = 0 s1 = 763452, s2 = 5263378, d1 = 6, d2 = 37 Dl.O(d1) = 19430970 Dl.O(d2) = 218702105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 763452, s2 = 5263378, dlinesl.size( ) = 14 s1 = 6473896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6473896, s2 = 1607883, int(edited[s2]) = 0 s1 = 6473896, s2 = 1607883, d1 = 57, d2 = 15 Dl.O(d1) = 254932606 Dl.O(d2) = 40508094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6473896, s2 = 1607883, dlinesl.size( ) = 2 s1 = 6473896, s2 = 1607883, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6473896, Dl.E( ) = 96, 4.89e-05 seconds used appending s1 = 766560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100040, s2 = 13266234, int(edited[s2]) = 0 s1 = 11100040, s2 = 13266234, d1 = 52, d2 = 46 Dl.O(d1) = 149906879,136766189,122935217,122935216,108670990,94384147,80329551,66902272 Dl.O(d2) = 263174658,262263392,261202630,84393287,70836308,58121857,268912819,15203863,10486864,10486865,15203865,20915761,20915760,28089404,36558817,46422245,57776445,70476189,84009792,97878504,255625234,64022756,52186849,41860609,32929666,254198708,254198710,22986515,16748514,254896070,13220406,13220405,18601812,268130686,32866006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100040, s2 = 13266234, dlinesl.size( ) = 2 s1 = 11100040, s2 = 13266234, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11100040, Dl.E( ) = 56, 1.91e-05 seconds used appending s1 = 6741459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6741459, s2 = 110566, int(edited[s2]) = 0 s1 = 6741459, s2 = 110566, d1 = 13, d2 = 3 Dl.O(d1) = 257945676,256774398,67404466,55072956,44240582,34883760,26825172,19958853 Dl.O(d2) = 2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047859,2423344,2423338,4047866,6458530,260982727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6741459, s2 = 110566, dlinesl.size( ) = 2 s1 = 6741459, s2 = 110566, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6741459, Dl.E( ) = 20, 5.01e-06 seconds used appending s1 = 9073096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9073096, s2 = 15667394, int(edited[s2]) = 0 s1 = 9073096, s2 = 15667394, d1 = 22, d2 = 26 Dl.O(d1) = 255548582,31068823,267994508,17272291,14355388,9863653,9863652,6503056,6503057,9895656,9897093,7199009,6497233,4071225,2436127,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,4534081,2725525,2725527,4533244,254747723,255425937,20072022,15624807,15624806,19814386,14387037,9892660,7714544,4882683,2942161,2942160,4882680,6502486,4129232,4129231,6591047,10028831,14574442,20061119,20061116,20061115 Dl.O(d2) = 154380058,141732888,128387465,128387464,141732887,128387467,260260818,114513195,114513193,114513192,114513197,260260818,100489219,86530489,86530488,86530490,100489221,114513197,260260818,100489219,86530489,86530488,72931980,60192575,48795831,48795832,60192577,72931978,66940925,257002370,256403529,22362736,268404393,19857460,15144463,10444882,10444884,15144467,14226580,9780080,9202476,6024909,6024908,4034079,4034078,267825348,10688467,15458543,14232580,14232579,16222684,16222685,22379359,29737474,38305461,48215367,43951367,43951366,52796940,42397334,33408214,25641549,25641550,33408216,42397335,52796941,64710728,77899281,91820518,106015434,120217392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9073096, s2 = 15667394, dlinesl.size( ) = 14 s1 = 6452875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6452875, s2 = 6619207, int(edited[s2]) = 0 s1 = 6452875, s2 = 6619207, d1 = 17, d2 = 6 Dl.O(d1) = 254637887,3653744,5853266,8966276,13154610,18514413,25051053,20107352 Dl.O(d2) = 256608642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6452875, s2 = 6619207, dlinesl.size( ) = 14 s1 = 118564, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15657703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15689687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7884849, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9074081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9074081, s2 = 13222569, int(edited[s2]) = 0 s1 = 9074081, s2 = 13222569, d1 = 17, d2 = 19 Dl.O(d1) = 30556040,255150006,11808347,254558571,4742041,4742042,7501862,7501791,4741996,2857849,1658606,943746,943747,1658611,2857859,4742012,7501819,11299239,15608735,15608734,15578261,15578262,11808457,7887414,5009308,3028910,3028911,3166810,5190312,8101287,11808427,15877941,15877942,16252100,11298998,7501637,254349882,4644941,254764219,15973424,11813104,10776253,10776254,255383952,11811615,7889910,7889911,11811617,16879692,23139956,23139658,23139657,16879366,11809244,11809243,16879363,22417661,16882074,11811611,7889908,7889907,11811608,16882068,16878374,11808343,11808342,16878370,17643524,22417422,16798064,16189999,11253969,11253970,11808488,7887440,7887441,11808491,16878520,21606763,15578288,11745118,7841549,7841548,11745116,16798033,18841020,13423602,9177855,9177856,13423604,16883247,11812809,7891090,7888097,7888096,11809259,12035778,14489083,14489082,255335207,14489192,11998973,8051858,8051859,11998975,10773209,7118274,7118275,7118517,7118518,4482041,4482042,7118583,10773687,15574816,21602403,21601668,15574171,15574170,255030122,22301114,28548471,255847473,15574831,268387881,15574726,12373660,8361403,8361402,12115563,12115564,254907063,8989648,8989660,8989659,13187300,8989668,5869257,5869131,5869132,8989475,8574879,5570841,5570842,8574884,12629496,11967397,8011295,5100119,5100120,8011299,8146199,8146201,5869196,3664756,2193362,2193363,3664763,5869211,8989596,12115469,17234365,12629504,12629503,13942403,9569656,6279613,3932062,3932061,6019420,6019419,9194546,13445890,13445743,9194413,6019319,3765541,3765542,6019321,9194418,13187419,8989631,8989630,8989637,8989636,7326046,7326047,9194387,6019299,6019300,9194392,13445702,17058888,11967392,8011290,8011291,255144231,12115605,8146253,8146252,255155777,13942390,18869220,13445551,13445552,18869222,25469433,23542952,255543685,12115677,12115678,17234591,13445982,13445983,18869194,25469419,25469616,18869447,13445820,9194485,6019372,3765578,3765577,6019369,254299904,9193220,254445102,13445690,9194383,9194384,13445626,13445559,13445560,13447195,9195553,9195499,6020083,6020084,9195501,254445110,254445108,2256080,1309393,747466,424731,424730,424732,747468,1309397,2256092,3765433,2256420,1309575,1309574,267811605,6020143,3766159,3766161,6020280,8267189,8267191,6020176,3766083,3766080,6020165,6019993,6018564,6018565,9193196,13443719,13443718,13446185,13446184,13443740,9193009,6018436,3765021,2255863,1309289,1309288,2255860,3765015,6018422,9192983,13443696,9193002,9193003,13443732,9195380,6019992,3765967,3765966,254650933,9195914,6020412,6020414,9195917,13447562,18866859,25467074,25467310,18867118,13443958,9193171,6018546,3765097,2255908,1309309,1309310,2255910,3765100,6018554,9193185,13443974,268297117,13443701,9192986,9192987,13443705,18866867,18870904,13447080,9195449,268025609,18866862,18866863,25467077,18871081,18871082,25467573,25467574,25467076,25467071,18866853,13443922,9193144,6018532,3765089,2255903,2255904,3765090,6018535,9193149,13443931,18867067,18871054,18871055,25471357,33214650,42098308,42173939,33214698,33214699,42174080,37026327,256516430,24830727,24830729,25404027,25404028,256639793,52451262,64318862,64407026,64405246,52531994,52451260,42098319,42098320,42174074,33214657,25467272,18867249,18867250,18867087,13443937,13443936,13016936,13016935,13443924,13443925,18867072,18869173,25403812,18814146,255381994,31040149,39717527,33144125,255660935,13403457,13403456,18814323,14381341,14381338,13403454,13403455,12130255,254491974,20065471,14381377,14381376,20065469,256215463,44405898,257194805,33144246,25404193,18814510,18814509,20065716,20065717,26950431,27188110,27188109,25403723,25403724,20065604,18867315,13444129,9193303,9193304,13444135,18814514,13403607,9163773,9163775,9163746,5997585,3750725,2246017,1302762,743227,743226,1302759,2246010,3750716,5997568,9163709,5997622,3750745,3750746,5997626,9163815,13403661,14381528,14381527,18814325,18814562,25404242,25404273,27188117,20264283,14539188,10003345,6573834,6573835,10003351,254591614,18814958,18814970,13403902,9163971,5997717,5997718,9163973,255661021,23043549,16797948,16795111,11743277,7840455,7840454,4977077,4977076,7350051,11083853,11745078,7841525,7841527,11745082,16797976,20851072,14950672,14950671,16795220,11743374,7840551,7840550,4977729,3006969,1746905,1746904,3006966,4977724,7841653,7840499,7840500,7840553,7840466,7840453,4977001,3006522,3006523,3006571,1746643,993330,993331,1746645,3006573,1746883,1746659,1746660,993439,993438,1746855,3006903,3006533,3006536,1746641,993328,559280,559278,993325,1746636,3006564,4977063,7840526,4977108,3006602,1746708,993367,993368,1746710,1746881,3006941,3006470,1746652,993335,993334,993386,993387,559352,313171,173208,95285,95284,173206,313167,559345,993450,1746588,1746586,3006473,1746910,254127729,559353,993466,1746909,1746749,993394,993395,1746548,1746549,993379,559310,559311,993381,1746730,254371451,254808329,16795488,23040379,30448253,39037687,36742449,36742317,28246515,21046596,21046598,21567819,255258863,9163903,9163904,13403782,18814758,25404472,26965632,26965631,34631847,34631848,43904555,39187385,39187384,30866242,26667031,26667033,34659043,43932288,54647510,43905119,36959750,36959751,46838888,47283505,37374032 Dl.O(d2) = 17236169,17236167,21295724,21820036,15753679,15753678,11723379,7825845,4967165,4967166,7825849,11723393,16769370,23008650,21295708,21295666,21295669,22489831,29854850,22508067,22508065,23607539,31025800,38596149,39769887,37919162,29351210,22019663,22019664,22511958,22511959,20303752,14570906,14570904,20303751,254761006,29356051,29354226,22023190,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,20288821,16777258,11730197,7831299,7831300,11361395,11361396,16303633,16303634,267888750,10587544,7831297,7831296,11378245,7559302,4780016,4780015,7559299,11378241,16351166,22524219,22517829,22517830,23614555,17301484,12179572,12179574,17272143,22525220,22525225,27086728,23588579,23588580,22510593,16336809,11366658,7551612,7551613,7558717,11377362,16349994,17277490,12157096,8187690,5257231,3213272,3213271,5257229,8187689,12157091,12173728,8205763,5276819,5276818,8205761,12173724,17294979,14434934,9929484,9928360,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283865,11283925,11283924,15158142,15158144,16320590,16320589,22494183,22031241,20123165,20123163,27015489,29872555,29872554,23334446,23334447,30757058,23601695,23601696,27018727,27018728,31419883,31419882,254397242,22520828,16347649,16347650,12191496,8221974,8221973,7545738,7545739,11357332,16324900,22017442,22017441,18106252,18106253,24540033,26965735,35046324,31509412,24009652,18933953,13498466,13498464,18933948,25546610,23868079,23868078,254760976,37912061,38441833,254760788,16357860,11383731,11383733,16357862,15919857,15919858,22021036,29352368,31098948,31098947,37922604,29356141,29338018,22650508,16459071,16459070,22650505,22504279,16343573,14485024,9966350,6550149,254099568,1418847,807109,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4780051,4780052,4780044,4773019,4773020,7546838,8203987,5275144,5275145,8203989,11363060,7549381,4774346,4774347,7549385,11363069,16332250,17096138,23365227,29871440,38432174,31351172,31351173,37907018,29347284,23365057,17095958,12009281,254267240,254397116,12009284,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464767,5464770,8457532,8224327,8224328,12193937,17318689,16332505,11363259,7549514,4774411,4774410,7549509,11363250,16332490,21099999,15156290,15156289,21099996,21612710,15583520,15583518,21612706,22509473,16335844,11365998,11365997,11364520,11364521,10782096,10749651,10749650,12009368,11348269,7547287,4773269,4773268,4772940,2876972,2876973,4772945,7546707,11358890,11737129,11737130,12150975,11365399,7550811,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960225,15815528,21893282,29206702,254158878,21281502,21102636,15158219,15158218,16804026,16804024,13403794,13403795,18814792,25404528,19829246,254964385,6420176,6420175,9764714,14204505,18814862,13403838,9764582,9764581,14204307,19828928,19828989,19828944,14204318,14204315,19828939,22819485,22819486,26641497,19828823,14204247,9764550,9764551,14204250,19828833,26641511,26641617,26642163,20796406,20796404,25404515,18814786,18814787,25404522,256724393,26642007,26642008,26642095,19829268,14204520,9764721,8161258,5231757,5231759,8161260,12130101,17248495,23557774,28383874,21166035,21166036,28383875,30719541,268661769,30719531,30719530,256384569,16029989,16029987,22148970,256384567,36803615,28306854,255380061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9074081, s2 = 13222569, dlinesl.size( ) = 2 s1 = 9074081, s2 = 13222569, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9074081, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 15110213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15110213, s2 = 14035005, int(edited[s2]) = 0 s1 = 15110213, s2 = 14035005, d1 = 33, d2 = 35 Dl.O(d1) = 71505747,85077787,99003209,112992492,126846115,272537493,131517903,117715544,103584622,89489183,75725636,62776826,51140743,40994078,40994079,51140744,62776828,75725637,89489185,103584625,117715547,131517909,144741696,157138751,157138749,157138750,168581929,178879389,187970444,178879392,178879391,273764083 Dl.O(d2) = 6570527,267872437,2461968,2461967,4116045,6570521,9997457,14529055,20247004,27158722,27158881,27158880,35257917,44642446,55492564,67834014,255018068,58093889,46721712,36838777,267823044,35257742,27158731,20247009,20247010,27158733,35257746,35257784,27158759,27158757,35257780,44642282,53078973,44642204,35257715,27158713,255339177,255339179,27158717,35257723,44642217,53078944,42631437,33606472,25808588,25808587,33606470,28341864,21129601,15180986,15180985,21129598,254222334,46721706,267960312,44642449,55492568,67834018,67834037,58093891,46721714,46721713,44642265,44642230,44642231,55492367,65061322,53078995,53078965,53078964,65061302,67833842,65061340,53079028,42631509,35257775,27158752,27158750,25808791,19161043,19161044,25808790,33606509,257228383,33606590,25808683,25808682,25808722,33606655,27158739,27158740,33606434,33606435,42631396,33606725,25808778,25808779,33606727,42631703,53078946,53078947,42631485,33606514,25808624,19160924,13682361,13682360,19160922,19160905,19160906,25808601,33606488,33606505,42631432,44642261,269097545,25808700,19160979,13682398,13682399,19160981,25808703,19161011,13682419,13682420,19161015,256154107,33606433,25808555,19160876,19160877,19160945,13682374,9369904,6137506,6137505,9369901,13682370,19160938,19161050,13682446,9369938,6137528,3839903,2300544,2300543,3839899,6137519,9369926,13682417,19161007,25808740,33606583,25808677,25808678,25808626,268502451,33606538,25808648,19160942,19160941,25808646,33606430,269097543,49453395,49453396,60855088,60855084,49453394,39520982,30911425,30911384,23475378,23475379,30911386,39520910,49453311,53079023,65061331,65061330,60855089,49453397,49453398,44642699,44642700,39520991,30911431,23475399,17193463,12089909,8130310,8130309,12089907,17193460,23475393,30911419,39520973,39520918,30911393,30911392,39520917,44642708,44642707,55492820,60855126,60855046,49453325,39520926,30911397,30911396,39520925,49453326,60855047,73604787,87226846,101227598,115305832,129233807,142604187,152542932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15110213, s2 = 14035005, dlinesl.size( ) = 2 s1 = 15110213, s2 = 14035005, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15110213, Dl.E( ) = 38, 1.29e-05 seconds used appending s1 = 15563337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15563337, s2 = 15101933, int(edited[s2]) = 0 s1 = 15563337, s2 = 15101933, d1 = 0, d2 = 0 Dl.O(d1) = 59683237,48296883,48296884,59683243,72418050,258439122,67632535,55294600,55294599,67632533,67738984,72418058,59683326,48296966,48296967,48296945,38386592,38386593,48296947,59683353,72418176,86014380,86014381,99973706,113997368,127875864,120966619,106714432,92409208,78372519,78372520,92409211,86014372,72418136,59683308,48296921,48296920,59683306,53179086,42729638,33699865,33699866,42729642,53179094,65163803,74692619,61898978,59683319,48296929,38386583,38386581,48296926,59683315,48296955,38386597,29813979,22446304,16276911,16276910,22446302,29813974,38386587,44450182,44450183,44553355,44553354,44553359,55399922,67738909,55399967,44553402,44553401,55399966,55294596,44450176,35075360,26991109,26991111,35075366,44450181,55294582,47225397,47225399,258689725,81203532,67738993,67738992,67738994,67738995,72418174,67738917,55399928,44553364,256227003,20189852,14486276,9967300,9967299,14486274,20189850,27087855,35175887,44553350,55399914,67738899,78327897,81098062,81098063,257917609,44553352,35175945,27087897,20189876,14486286,9967306,6550741,6550742,9967307,14486289,20189879,27087880,35175922,38671043,48587197,44553345,44553344,55399907,269513849,42366651,257804807,77871175,67738903,55399915,55399916,48587098,38670963,30093778,30093777,38670959,48587092,269824221,257917615,55399972,55399958,256752427,27087875,20189863,14486281,14486280,20189861,27087872,35175913,30093840,22712214,22712212,28645914,37162203,33381372,25615590,19001777,19001776,25615584,33381362,42370453,50407690,40372809,40372807,38670968,30093780,22712182,16508117,16508118,16508131,22712177,16508114,16508116,22712179,16508130,11503710,7652031,4841538,4841537,7652029,11503707,16508126,22712197,30093807,38671004,47055784,37164931,256863577,30093745,22712157,22712158,30093740,22712149,16508100,11503695,11503696,16508104,22712154,256023948,25612543,25612542,33377685,38670993,30093795,22712190,22712191,30093798,33385736,42374720,48587149,48587151,52766258,61514930,50035947,49212911,42366633,38670985,30093789,30093791,30093817,38671011,258163663,86312537,86312540,86312538,100273918,114303700,128186018,141542929,154205114,165963332,261656510,173706723,162695232,150593276,150593275,137593181,123912151,123912152,258055484,95574955,81544319,81544320,95574956,268613802,55660399,44752045,35325644,27201447,27201448,20274438,14546756,10009004,6578031,6578028,10009002,14546752,20274435,27201446,255035040,55660394,55660395,68057342,74853156,62503550,62503551,75422433,89170004,103259749,117388929,131192073,260193798,168301896,178638002,187771831,195734529,202549653,203871706,197317374,195734528,189632572,273231959,170609364,170609359,159274576,146904118,133650949,119781078,119781077,105547936,105547935,91330283,77411735,64262065,52406858,42063177,33114282,25379075,255258007,9151806,9151807,6179846 Dl.O(d2) = 59683237,48296883,48296884,59683243,72418050,258439122,67632535,55294600,55294599,67632533,67738984,72418058,59683326,48296966,48296967,48296945,38386592,38386593,48296947,59683353,72418176,86014380,86014381,99973706,113997368,127875864,120966619,106714432,92409208,78372519,78372520,92409211,86014372,72418136,59683308,48296921,48296920,59683306,53179086,42729638,33699865,33699866,42729642,53179094,65163803,74692619,61898978,59683319,48296929,38386583,38386581,48296926,59683315,48296955,38386597,29813979,22446304,16276911,16276910,22446302,29813974,38386587,44450182,44450183,44553355,44553354,44553359,55399922,67738909,55399967,44553402,44553401,55399966,55294596,44450176,35075360,26991109,26991111,35075366,44450181,55294582,47225397,47225399,258689725,81203532,67738993,67738992,67738994,67738995,72418174,67738917,55399928,44553364,256227003,20189852,14486276,9967300,9967299,14486274,20189850,27087855,35175887,44553350,55399914,67738899,78327897,81098062,81098063,257917609,44553352,35175945,27087897,20189876,14486286,9967306,6550741,6550742,9967307,14486289,20189879,27087880,35175922,38671043,48587197,44553345,44553344,55399907,269513849,42366651,257804807,77871175,67738903,55399915,55399916,48587098,38670963,30093778,30093777,38670959,48587092,269824221,257917615,55399972,55399958,256752427,27087875,20189863,14486281,14486280,20189861,27087872,35175913,30093840,22712214,22712212,28645914,37162203,33381372,25615590,19001777,19001776,25615584,33381362,42370453,50407690,40372809,40372807,38670968,30093780,22712182,16508117,16508118,16508131,22712177,16508114,16508116,22712179,16508130,11503710,7652031,4841538,4841537,7652029,11503707,16508126,22712197,30093807,38671004,47055784,37164931,256863577,30093745,22712157,22712158,30093740,22712149,16508100,11503695,11503696,16508104,22712154,256023948,25612543,25612542,33377685,38670993,30093795,22712190,22712191,30093798,33385736,42374720,48587149,48587151,52766258,61514930,50035947,49212911,42366633,38670985,30093789,30093791,30093817,38671011,258163663,86312537,86312540,86312538,100273918,114303700,128186018,141542929,154205114,165963332,261656510,173706723,162695232,150593276,150593275,137593181,123912151,123912152,258055484,95574955,81544319,81544320,95574956,268613802,55660399,44752045,35325644,27201447,27201448,20274438,14546756,10009004,6578031,6578028,10009002,14546752,20274435,27201446,255035040,55660394,55660395,68057342,74853156,62503550,62503551,75422433,89170004,103259749,117388929,131192073,260193798,168301896,178638002,187771831,195734529,202549653,203871706,197317374,195734528,189632572,273231959,170609364,170609359,159274576,146904118,133650949,119781078,119781077,105547936,105547935,91330283,77411735,64262065,52406858,42063177,33114282,25379075,255258007,9151806,9151807,6179846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15563337, s2 = 15101933, dlinesl.size( ) = 2 s1 = 15563337, s2 = 15101933, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15563337, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10153754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16175335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16052519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15390359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15390359, s2 = 793966, int(edited[s2]) = 0 s1 = 15390359, s2 = 793966, d1 = 0, d2 = 0 Dl.O(d1) = 13884485,14078749,9683654,9683653,14078747,19642633,26376046,23323229,17057943,11966768,8010850,5099823,3095452,3095451,5099821,8010847,11966765,17057941,14596939,10043976,6601671,4135763,2473939,2473943,2473912,2473911,4135722,254698309,14599692,20341907,20341908,27277608,35403744,44829317,55736997,68134814,81624666,95657678,261572951 Dl.O(d2) = 13884485,14078749,9683654,9683653,14078747,19642633,26376046,23323229,17057943,11966768,8010850,5099823,3095452,3095451,5099821,8010847,11966765,17057941,14596939,10043976,6601671,4135763,2473939,2473943,2473912,2473911,4135722,254698309,14599692,20341907,20341908,27277608,35403744,44829317,55736997,68134814,81624666,95657678,261572951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15390359, s2 = 793966, dlinesl.size( ) = 2 s1 = 15390359, s2 = 793966, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15390359, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11003000, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11093152, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6433022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6685952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6685952, s2 = 16335084, int(edited[s2]) = 0 s1 = 6685952, s2 = 16335084, d1 = 10, d2 = 33 Dl.O(d1) = 257327666 Dl.O(d2) = 75981441,268258904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6685952, s2 = 16335084, dlinesl.size( ) = 2 s1 = 6685952, s2 = 16335084, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6685952, Dl.E( ) = 34, 2.6e-05 seconds used appending s1 = 8115969, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14866863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14866863, s2 = 10346216, int(edited[s2]) = 0 s1 = 14866863, s2 = 10346216, d1 = 28, d2 = 25 Dl.O(d1) = 262264552,141512667,128153537,114268845,259409266,39440436,30836546,30836548,32557287,24906735,18402562,18402559,19270798,19214992,13724990,9401738,9401737,13724983,13489837,9229359,9229360,13489843,18279808,18974995,13539607,13539609,18975002,19215428,19215427,25874156,25874155,25418881,18827018,18827019,18388431,18388429,19273195,18402398,17323131,17323132,23638794,19273070,13776347,13776096,9444588,9444590,9401539,9401540,13724699,18155340,18402596,19271660,16145446,13775262,9444049,6191120,6191121,9444054,13775277,13776512,9444863,9444859,13725008,9401745,9401743,10490480,6917392,4345367,2602150,2602149,4345362,6917380,8900666,8900669,13061742,13061748,13724546,13724547,13724536,9401444,9401442,6191303,3874753,3874752,6191302,9444398,13775818,255288101,13774795,19271080,18387563,13724617,13061376,8900432,8900433,13061379,18388370,24887104,18388040,13061154,8900292,8900291,9443996,6191086,6191085,8900178,13060926,18387660,24887001,24887851,24887852,32532552,25933101,19272310,19272309,18388682,18388105,13061193,13061191,18388068,13061168,13061167,18388061,18819054,19271259,13775115,13775114,16834328,16834329,11772434,11772432,16834390,23087954,20969155,18295145,18295146,16834261,11772362,7859776,7859775,11772360,16834257,23087784,23408488,255149043,8094887,8094886,255149041,254715122,6602685,10047779,7148589,4501715,2705294,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745199,10265031,14407420,11729844,7831018,7831016,11729839,16776849,14216872,14216870,17853796,17853798,18667682,25236733,20846721,14946279,14946278,20846718,25734615,27279871,30717363,31910527,31910528,26735260,25313751,25313750,20839066,15587607,10783068,7124801,7124802,10783071,15587610,21617613,27279794,21630866,15599776,15599777,12411008,8388181,5412840,3327290,3327291,5412843,8388186,10784195,10048374,6603052,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,3816525,6099790,9311862,13599011,19049708,14967799,14967798 Dl.O(d2) = 57708534,70402544,57708550,46359401,256273596,28038159,36501384,46359398,44640295,35255827,255756319,14527345,9995980,6569508,6569512,9995985,9947530,267962579,4396727,2634677,1521437,1521438,2443325,2443324,4083669,6517448,9917049,6517563,6517564,6517545,5675809,3530136,3530137,5675813,8719741,8480358,8480359,7471609,7471611,11000422,7281866,4592249,2762874,2762873,4396567,6520286,6520287,8719689,8719690,7281839,7281838,9995921,14527301,267935514,15437346,15437347,14527376,14527377,17071826,17071827,19448072,20107018,20246929,255256266,16490741,15348456,10681812,10681815,12850982,12850983,9916283,6516805,6516803,6994750,6569497,6569498,4405346,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,142279,256826,256827,455651,804036,1413112,2443183,4083332,4083331,5971942,9126064,13354004,15017563,15017564,14421497,9919971,6519678,6519677,9919969,14421495,14421839,9920331,6519967,4085187,2444122,1413221,1413222,2444126,4085192,3858577,2311632,2311633,3858579,6166615,6520244,4085381,2444224,2444223,4084205,4083592,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398080,6998323,254944326,13738865,12906195,9412598,6166950,3858753,2311718,254454577,9412596,13739032,19231293,25890726,256676705,40224686,31538207,24035367,17683920,12506294,8471938,8471937,12506291,17683915,24035365,31538204,40224684,50244849,258276287,88116158,95592999,95593000,95200276,81143438,67677515,55669937,44759617,35331805,27206504,20278503,20278502,27206502,35331801,44759613,55669929,68069365,76921930,63815290,52000068,41688537,41688538,39833952,39833953,39833963,49857598,61341125,61341121,61341120,74124254,256084330,87884662,74282348,61505677,50027541,50027540,50027547,57624993,70315620,74282346,74282347,257700684,87884664,83840410,74282341,61505673,61505672,59964067,48571983,38656112,38656113,46812574,46812575,48245545,38335129,29764359,29764358,38335127,38335086,37073138,37073139,46953187,58320245,59632570,48245514,38335098,29764341,29764340,38335096,48245499,58320257,48245526,38335109,38335108,46953144,37073097,37073098,46953145,53519411,53519412,256520100,29764354,22401822,22401823,256406833,29764351,22401820,22401821,28570208,28570209,256084332,39762662,31084429,31084430,39762664,34986124,26905872,26905871,34986122,44363880,44363905,34986143,34986142,44363903,55214877,55214845,44363877,34986119,34986118,34986140,34986141,44363902,44363907,44363906,49781893,61260702,71035866,58320234,58320235,55214847,55214846,44363900,44363899,46953128,44363894,44363895,55214866,67558529,81027991,73560642,60814259,60814261,58320193,58320194,71035841,58320202,46953115,46953114,55214839,44363926,44363927,55214904,67558565,67558566,67558585,67558584,71017323,71017324,73092990,81027976,257478668,123532843,137264000,259956768,173483006,183288644,185181081,193498270,200627139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14866863, s2 = 10346216, dlinesl.size( ) = 20 s1 = 14049645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14049645, s2 = 16210646, int(edited[s2]) = 0 s1 = 14049645, s2 = 16210646, d1 = 0, d2 = 0 Dl.O(d1) = 28796687,21531279,21531281,28796690,37334169,47244068,58637676,60542355,60542354,58637674,47244067,42184149,33224168,25476105,18874595,13449896,255262907,25476101,33224162,42184142,46578907,256513720,21169754,15211638,10492975,10492976,15211639,21169755,28202449,23809804,23809803,31295739,28388380,28388381,36436170,36436171,255955778,59596851,48209745,38299930,29732317,22374897,22374896,22649565,16458335,11467550,7627855,4826118,2908359,2908360,4826123,7627864,11467559,16458362,22649594,16781742,11733791,7834031,7834030,7834032,11733792,11852758,7921902,5036405,3049369,254174743,1012842,1776484,3049368,5036404,7921901,7921945,5036428,3049385,1776494,1012847,570913,319778,176844,97278,97277,176839,319749,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1012750,1012749,1776331,3049002,3049008,5035728,7920709,7920638,7920637,11850811,11851488,7921040,5035904,5035906,7921047,11851495,11210951,11210952,16029587,16029606,11851023,11851022,11851397,7920982,7920980,11851385,16933380,22237233,16102110,11184559,11184558,11185075,11185080,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597,11130111,7382731,7382733,11130120,16029620,11851375,7920977,7920978,11851377,16933362,23203356,17111062,16102101,16102099,16144239,16245708,16933249,16933247,22286170,23203413,23203274,16933302,16933300,21536297,22233078,23203475,16933461,11851447,11851446,16933217,11851276,7920930,7920933,11851299,16933244,23202579,23202612,22286176,22286178,22286187,22288439,23203310,16933324,16933326,23203316,21829544,15761406,15761408,17111098,17111099,22148621,16029900,11216055,7921226,5036020,5036021,7921229,11851784,8084133,5179745,5179746,7498853,7498854,11294588,16245676,22408977,28802844,21536319,15521217,10734550,10734551,11181313,16098228,22233085,29580820,23205484,16935029,16935031,22288465,16144722,11216198,11216197,11214387,7440968,4701638,4701635,7440958,11214374,16142497,22286200,23401986,17129372,17129371,23203279,23203278,22287679,22287678,23204170,16933983,11851819,7921258,5036033,3049169,3049170,5036040,7921268,5179755,3160442,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832847,4702317,4740242,2856788,1657969,943365,943366,1657973,2856731,2856728,4740111,7441129,7920040,5035332,3048800,3048799,5035347,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740033,7498568,11214575,8083503,8083502,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1055888,1055892,1850120,2671128,1547168,879427,879428,1547170,2671131,4446352,7062205,254735008,21460746,28716596,21460739,15460677,15460678,21460741,21048028,15118559,10428069,6875259,6875260,10428070,15118562,18045550,15594013,10787632,7127486,7127485,10787630,15594008,21624688,24465136,32027177,37434097,37434096,255247738,20874496,14972486,14972485,20874494,28042463,28374949,21157862,15202127,15202128,21157864,28374951,28374947,21157865,15202130,10485512,254492377,2599611,1499758,1499756,2599607,4341994,254721361,4446541,2671289,2671290,4446545,4455636,254736461,15491684,255840029,37291413,47199376,37291415,37291414,47199377,58540191,71271891,71271886,71271885,84845850,98772723,270336920,126618043,112762569,112762570,112557216,98563832,98563830,112557215,112557211,99495354,85548646,71961011,71961012,84640694,84640685,71077822,58361204,46991045,46991042,37106203,37106202,46991040,258672541,71077829,58361208,46991039,37903530,29334874,29334875,37903532,269333279,37903311,37903310,37903257,29334639,29334640,37903259,37903309,37903308,47824956,58076095,46704031,36821441,36533949,36533948,39900111,39900110,49919838,61399951,74180232,256751684,46703948,36821371,36821372,46703950,49919844,39900139,36821454,28326169,21116394,15170234,15170233,21116392,28326165,36821448,46704039,36821449,28326166,28326167,36821451,31223391,31223390,38130571,38130572,48043723,46394620,39900112,39900113,31223406,23740134,17415932,12275062,8289772,5347864,3286616,1932721,1932720,3286614,5347861,254844795,17415923,23740083,23740082,31223343,39900096,39900119,31223366,23740102,23740101,23740090,17415902,12275046,12275047,17415904,23740094,31223356,31223399,39900094,31223348,31223349,39900101,49919833,39900145,31223393,31223392,39900143,39900102,31223351,31223352,39900104,256511721,31223346,39900099,257641057,49919870,61399978,258250179,61399976,259426001,74180252,74180250,87784990,101758379 Dl.O(d2) = 28796687,21531279,21531281,28796690,37334169,47244068,58637676,60542355,60542354,58637674,47244067,42184149,33224168,25476105,18874595,13449896,255262907,25476101,33224162,42184142,46578907,256513720,21169754,15211638,10492975,10492976,15211639,21169755,28202449,23809804,23809803,31295739,28388380,28388381,36436170,36436171,255955778,59596851,48209745,38299930,29732317,22374897,22374896,22649565,16458335,11467550,7627855,4826118,2908359,2908360,4826123,7627864,11467559,16458362,22649594,16781742,11733791,7834031,7834030,7834032,11733792,11852758,7921902,5036405,3049369,254174743,1012842,1776484,3049368,5036404,7921901,7921945,5036428,3049385,1776494,1012847,570913,319778,176844,97278,97277,176839,319749,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1012750,1012749,1776331,3049002,3049008,5035728,7920709,7920638,7920637,11850811,11851488,7921040,5035904,5035906,7921047,11851495,11210951,11210952,16029587,16029606,11851023,11851022,11851397,7920982,7920980,11851385,16933380,22237233,16102110,11184559,11184558,11185075,11185080,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597,11130111,7382731,7382733,11130120,16029620,11851375,7920977,7920978,11851377,16933362,23203356,17111062,16102101,16102099,16144239,16245708,16933249,16933247,22286170,23203413,23203274,16933302,16933300,21536297,22233078,23203475,16933461,11851447,11851446,16933217,11851276,7920930,7920933,11851299,16933244,23202579,23202612,22286176,22286178,22286187,22288439,23203310,16933324,16933326,23203316,21829544,15761406,15761408,17111098,17111099,22148621,16029900,11216055,7921226,5036020,5036021,7921229,11851784,8084133,5179745,5179746,7498853,7498854,11294588,16245676,22408977,28802844,21536319,15521217,10734550,10734551,11181313,16098228,22233085,29580820,23205484,16935029,16935031,22288465,16144722,11216198,11216197,11214387,7440968,4701638,4701635,7440958,11214374,16142497,22286200,23401986,17129372,17129371,23203279,23203278,22287679,22287678,23204170,16933983,11851819,7921258,5036033,3049169,3049170,5036040,7921268,5179755,3160442,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832847,4702317,4740242,2856788,1657969,943365,943366,1657973,2856731,2856728,4740111,7441129,7920040,5035332,3048800,3048799,5035347,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740033,7498568,11214575,8083503,8083502,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1055888,1055892,1850120,2671128,1547168,879427,879428,1547170,2671131,4446352,7062205,254735008,21460746,28716596,21460739,15460677,15460678,21460741,21048028,15118559,10428069,6875259,6875260,10428070,15118562,18045550,15594013,10787632,7127486,7127485,10787630,15594008,21624688,24465136,32027177,37434097,37434096,255247738,20874496,14972486,14972485,20874494,28042463,28374949,21157862,15202127,15202128,21157864,28374951,28374947,21157865,15202130,10485512,254492377,2599611,1499758,1499756,2599607,4341994,254721361,4446541,2671289,2671290,4446545,4455636,254736461,15491684,255840029,37291413,47199376,37291415,37291414,47199377,58540191,71271891,71271886,71271885,84845850,98772723,270336920,126618043,112762569,112762570,112557216,98563832,98563830,112557215,112557211,99495354,85548646,71961011,71961012,84640694,84640685,71077822,58361204,46991045,46991042,37106203,37106202,46991040,258672541,71077829,58361208,46991039,37903530,29334874,29334875,37903532,269333279,37903311,37903310,37903257,29334639,29334640,37903259,37903309,37903308,47824956,58076095,46704031,36821441,36533949,36533948,39900111,39900110,49919838,61399951,74180232,256751684,46703948,36821371,36821372,46703950,49919844,39900139,36821454,28326169,21116394,15170234,15170233,21116392,28326165,36821448,46704039,36821449,28326166,28326167,36821451,31223391,31223390,38130571,38130572,48043723,46394620,39900112,39900113,31223406,23740134,17415932,12275062,8289772,5347864,3286616,1932721,1932720,3286614,5347861,254844795,17415923,23740083,23740082,31223343,39900096,39900119,31223366,23740102,23740101,23740090,17415902,12275046,12275047,17415904,23740094,31223356,31223399,39900094,31223348,31223349,39900101,49919833,39900145,31223393,31223392,39900143,39900102,31223351,31223352,39900104,256511721,31223346,39900099,257641057,49919870,61399978,258250179,61399976,259426001,74180252,74180250,87784990,101758379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14049645, s2 = 16210646, dlinesl.size( ) = 2 s1 = 14049645, s2 = 16210646, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14049645, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 16270345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7969738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8064731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16175883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13669761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13669761, s2 = 14502377, int(edited[s2]) = 0 s1 = 13669761, s2 = 14502377, d1 = 13, d2 = 1 Dl.O(d1) = 139046162,262138103,273318667,260484919,259263967,70540735,259065886,20964176 Dl.O(d2) = 28742945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13669761, s2 = 14502377, dlinesl.size( ) = 2 s1 = 13669761, s2 = 14502377, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13669761, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 14507092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6544304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6544304, s2 = 13205648, int(edited[s2]) = 0 s1 = 6544304, s2 = 13205648, d1 = 1, d2 = 6 Dl.O(d1) = 255798365 Dl.O(d2) = 32490239,31292104,31292105,255724254,22354551,16255987,16255988,16256500,16204343,11264539,7478027,7478028,11264543,16204347,22354866,22354868,23776206,23776207,17473664,15691830,10863037,10863036,15691823,16204077,11264339,11264340,16204080,16255982,11301950,11301951,13028966,13028965,15213995,10494566,6920197,4347464,4347465,6920201,10494573,15214008,21172974,16597123,15691777,10863010,7182210,7182209,7503580,7503582,11300818,11300819,16254408,18352125,22420283,16254821,16254823,16777884,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,5784295,5784293,254898915,13920283,13920282,16255799,11301821,7503452,4742969,2858391,2858390,4742966,7503447,11301809,16255778,255089575,11263936,16203468,255906395,16254446,16254447,16254914,11301193,11301192,7503198,4742828,4742827,4742995,7503508,7503776,7502930,4742690,4742691,7477656,7477660,7477988,7477985,11263810,7477597,4725875,2847458,2847455,4725890,7477630,8305899,12298048,16076781,11163747,11163748,16076784,22207443,28673292,23776280,23253204,16990232,16990233,23253208,23949766,22815926,16597152,11575403,7704816,7704817,11575410,15389873,11302008,11302009,16256071,18351416,13028435,8871615,5784125,5784124,8871609,13028424,18351401,17473885,17473886,23806965,18351451,13028461,8871629,5784134,5784133,8871628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6544304, s2 = 13205648, dlinesl.size( ) = 2 s1 = 6544304, s2 = 13205648, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6544304, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11053342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053342, s2 = 13201936, int(edited[s2]) = 0 s1 = 11053342, s2 = 13201936, d1 = 17, d2 = 13 Dl.O(d1) = 14743,25625,14372,14373,8774,8777,9042,8053,8051,14520,14478,14477,15626,8786,8787,4909,2594,2595,4914,9017,5420,4812,2541,1268,620,316,317,649,1331,2661,1720,848,406,407,849,1721,3359,6242,11124,19443,33968,60433,110091,201783,254108387,1182542,2060611,3473672,5597111,8611641,12679700,17899740,24280232,31277936,23792178,17460452,17460453,23792180,31277937,256288566,30874507,23444841,17169950,12072632,12072631,15082291,15082292,20997107,15083566,10403762,6858029,6858030,255011651,20998951,28181549,23216071,23216072,30280768,25932678,20999028,20999027,28181660,36658165,46525774,50524690,57613323,46525657,36658042,28181538,20998946,15083564,15083563,17899725,17899723,24280210,30639340,30639339,28181615,20998997,15090899,15090898,21011564,28203412,36693495,46525799 Dl.O(d2) = 12151634,8182054,5251804,3208984,3208983,5250502,5222342,3209477,1879760,1072425,1072426,1879762,1610737,916420,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783689,3228874,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,1881679,1073489,603144,254132593,335673,335674,267752085,516938,916150,254233265,4610201,5252350,3209486,1879771,1879770,2787014,1616788,919621,518615,518614,919619,1616783,1614339,918235,517924,517925,918236,918182,517894,517895,254132575,1879812,2783918,1880440,1880439,2783412,254520501,254582159,5253987,5253986,8180470,5250051,3207565,254580043,8180330,8180331,8238772,5311110,5311111,8238774,10960403,10960402,15815754,11044960,11044959,11046524,15923824,12153496,12153497,15920290,17271753,17271754,15917246,11039285,7313683,4616640,4616639,7313680,11039283,268106117,8147808,255155875,8148056,8148055,254581397,3219034,1886233,1886234,1886242,1886239,3219047,5263950,8167562,5237172,5237129,5237128,8167499,268088268,11717107,11717108,12153715,10993839,10993840,8453951,5461187,3357639,3357638,5461185,8453947,12202806,12202805,16764536,11717021,254583775,5289597,3269530,1922460,1922459,1912972,1912973,2854586,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942029,1655635,2853052,4734644,5306951,3257158,3196219,1870969,1075040,1075041,1884386,1909938,3252385,3255330,2774428,1609338,915640,516664,516663,915637,1609335,2774421,4608562,7304046,7490076,7490077,8206713,267906511,5263442,5298077,3251806,3251808,5256994,5256995,8187468,5301089,3251795,3251792,5301083,8229814,5308126,5308128,5262312,5262311,7324298,4625288,2785505,2785440,2785436,3251933,1909607,1090411,1090410,1909604,3234342,1897227,1897229,3234348,2776568,1610694,916389,916391,1610700,2776579,4611570,7307558,8200510,5271210,3225675,1898290,1083508,608518,254133329,1898292,254394309,4613354,4613355,7309427,7313747,7322505,7322503,11047533,12120161,8151677,5222866,5222865,8151675,12085755,8184212,254835465,11043377,7825464,4966876,2999909,1742186,1742187,254370871,2999339,2999340,254554567,4676276,2817177,2817178,4676279,7402238,11040717,11040719,8150291,8150290,12119051,17235962,12188248,8218500,5288470,5288469,8209304,11719090,7821154,4963262,4963263,7312069,4615325,2779177,2779175,3185727,3185728,5222253,8150927,11721522,7823980,7823943,7823942,11038135,8221572,5291575,3242879,1903030,1903031,1903017,1903021,3242861,5291554,5307431,3257660,3257658,5244673,5244672,8175072,12145319,17265746,22394574,16234530,16234531,17327294,17327295,17340181,17340180,17317600,12192784,11489032,11489031,12484752,8455719,5463082,5463083,8455724,12484758,17327320,17327321,23612957,17299846,12177890,8209563,8209562,8199402,8153257,5224239,3240310,1901183,1085219,1085221,1901195,1740866,1740868,1656329,942437,942440,1656341,989471,989473,1741259,2998127,2816974,2816977,1777538,1013462,571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101519,101521,185615,185906,185907,338478,608219,1082964,1897315,3229894,5275665,8204413,11027658,11027656,11713591,11713590,8244777,8244778,8236136,8203386,5319669,5319668,5235771,3212890,3212891,4962146,5298063,3248939,3248938,5298059,8227330,8206552,5277369,5277368,4958468,2993853,2993854,4957999,2993380,1738150,987727,987725,1083007,1083008,1897389,3234558,5279261,5279262,3239987,3239986,5288319,7301935,5263055,5263054,3241841,3214947,1897357,1897356,3231711,4961794,4961795,4628896,2788457,1617780,920233,518908,518907,920227,1617761,920239,920238,1617793,1740337,1740339,2996679,3195640,1870604,1870605,2788068,2779291,1875190,1069721,1069720,1875189,254390863,8174414,267891361,4722407,7472453,11256284,254775297,4722370,4722369,5861383,3659230,3659231,5861384,8978035,11843701,11318001,8189351,8189350,7312321,7312320,4788566,4788567,7571690,11395695,267844738,7795065,7795067,11688608,16731184,22966987,255465024,22282569,22343783,16194752,11257568,7473355,4723014,2845662,1650990,1650992,2845663,4723016,7473358,11257575,16194766,22343806,22145754,22145753,23458457,17180015,17180016,17691062,12512364,8476576,5479248,3371698,1984014,1133257,1133258,254409419,8476322,12511929,12512186,17690778,24042884,31544735,24042455,17690415,17690414,24042454,24042898,31546407,31544677,24041309,17689398,12511071,12511069,17689029,12510701,12510702,17689031,16613452,11588600,11588599,11587991,11587994,13614277,13614280,10724706,10724705,11309148,13653583,9349539,9349540,13653585,10484224,6912443,6912444,6912715,9356503,9356502,13544432,11671242,11671241,16712897,19012672,19065898,256041131,17822785,12618905,8565718,5561851,5561852,8565722,255198775,11036528,11036527,15860317,10992878,7277071,4589268,2761056,1600574,910023,910021,1600567,2761038,4589231,7277014,8624040,7173348,7173349,10850624,15673785,16810531,12196029,8226256,8226259,6855208,4302217,4302176,4302179,6855147,10399173,15076812,10494203,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476515,20082717,14399011,11750688,7845697,7845698,11750703,12190400,17315019,23630932,17314999,12190370,12190368,16804517,13194629,8994962,5872667,5872668,8994967,13194641,18567738,15213074,15213076,15687955,10860283,10860152,10860151,8749074,8749077,12864820,15076981,15860745,15860744,15860801,21737156,15699566,10868146,7185680,7185679,10868141,15699555,21744420,21744421,21737194,15687917,10860264,10860263,15687909,17315079,17315076,23631018,24586038,32171970,40951416,256580502,256742425,55270505,257131432,58878124,47498106,37593904,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,40951438,32171998,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,39758911,49777573,258239713,259486593,85159877,71898674,59160891,47762493,37840129,29273765,21950470,15860134,15860135,21950449,21950452,29039500,29039499,37587045,41227861,37560153,29013775,29013773,32403659,40436160,40436127,31741967,24232242,24232243,30015809,30015810,38588216,48503118,58243084,46875882,36997264,34250517,30318658,22918155,22918154,23597914,31081364,24234792,17860574,12648045,12648044,17860567,24234784,256551257,50476431,50469209,50469208,48827451,38905457,38905459,48827459,40435970,31741803,29274931,21951349,21951350,29274934,37841579,41227876,32403694,24779759,18299111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053342, s2 = 13201936, dlinesl.size( ) = 2 s1 = 11053342, s2 = 13201936, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11053342, Dl.E( ) = 20, 2.1e-05 seconds used appending s1 = 1763051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7873236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6452778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6452778, s2 = 14054046, int(edited[s2]) = 0 s1 = 6452778, s2 = 14054046, d1 = 21, d2 = 14 Dl.O(d1) = 254636672 Dl.O(d2) = 51133922,51133923,62768320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6452778, s2 = 14054046, dlinesl.size( ) = 12 s1 = 811233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 811233, s2 = 14860386, int(edited[s2]) = 0 s1 = 811233, s2 = 14860386, d1 = 7, d2 = 11 Dl.O(d1) = 21077990 Dl.O(d2) = 10442501,6884122,4321509,4306651,2575048,1482937,838542,838543,1481031,837200,836911,471585,471583,836905,843496,254097031,267706,475951,843497,841740,841739,843058,838636,478489,475867,475865,843368,476627,269233,149240,82067,82068,82089,80710,44191,44190,80707,82255,44997,24982,13965,7685,7684,13962,24974,44686,44687,81649,148489,148509,148508,268087,476536,476652,476653,269874,269872,474468,841315,847182,478411,269252,269254,478417,478459,475600,475602,478463,476184,267876,149177,149176,266677,267736989,81174,81190,81191,147685,266746,474505,841365,841372,841373,846286,254097221,268910,477821,846284,1493940,2580977,2580838,2580839,1486852,1486851,2580845,1488737,842457,475165,475164,842456,254157403,2591402,4331037,4323431,254328217,1491024,844246,844248,844307,1491135,2584244,4320312,6881119,6886889,6886888,6874204,6874203,4331241,2591570,1494461,1494462,2591572,254491769,10446552,6886571,254328147,1490680,844017,476285,267933,148412,148414,267940,476302,844051,846956,1314127,1314128,2265332,2591500,4322989,4311812,2578345,1485101,1485104,2578352,2579251,2578375,1485116,1485118,1490630,1490629,2586050,2586323,1490815,1490813,847048,478280,478281,847054,1485083,1485081,1485221,1494022,846354,254157377,1483705,1483706,2576058,4308202,2578911,1485474,1484755,1484756,2577756,1485504,840318,840319,473881,266346,147475,81083,81084,147478,266354,266308,266307,473799,840215,1485325,1486298,1486296,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,1485126,840109,840110,1485132,2578410,2596840,2596839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 811233, s2 = 14860386, dlinesl.size( ) = 2 s1 = 811233, s2 = 14860386, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 811233, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 7560950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6567306, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1877824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1877824, s2 = 11522840, int(edited[s2]) = 0 s1 = 1877824, s2 = 11522840, d1 = 53, d2 = 43 Dl.O(d1) = 48678461,38756865,255379376,21183646 Dl.O(d2) = 264200127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1877824, s2 = 11522840, dlinesl.size( ) = 2 s1 = 1877824, s2 = 11522840, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1877824, Dl.E( ) = 70, 2.5e-05 seconds used appending s1 = 14555292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14555292, s2 = 14185211, int(edited[s2]) = 0 s1 = 14555292, s2 = 14185211, d1 = 55, d2 = 43 Dl.O(d1) = 61272811,49793737,39773857,31095450,23611684,17298837,12177077,12177076,17298835,23611682,31095449,39773855,49793735,61272810,74052685,87655995,101622918 Dl.O(d2) = 17690414,24042454,24042898,31546407,31544677,24041309,17689398,12511071,12511072,12513346,12513347,17692293,24044609,24043814,17691570,12512792,8476868,8476869,12512788,17691562,24043795,256500589,23589164,17277379,12157028,12157027,255190563,12512803,17691590,24043832,31547355,31546381,24042854,17690756,17690755,24042852,24043733,17691498,12512725,12509368,8474388,5477879,3370900,3370899,5477878,8474387,8474352,8474353,12509302,8475651,8475647,8475648,10966556,255435145,12511638,12509656,8474580,8474579,8475845,5478803,3371436,1983887,1983886,3371435,5478801,8475838,12511254,17686973,16228427,11281544,7488914,4732791,2851629,2851630,254231644,1133175,635581,635582,1133177,1983893,3371453,3468892,3468893,5591366,8604355,12670103,14079892,11281694,7489022,7489023,255091083,22386979,29746295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14555292, s2 = 14185211, dlinesl.size( ) = 2 s1 = 14555292, s2 = 14185211, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14555292, Dl.E( ) = 56, 1.38e-05 seconds used appending s1 = 15452697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 819357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10339116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10339116, s2 = 7051986, int(edited[s2]) = 0 s1 = 10339116, s2 = 7051986, d1 = 75, d2 = 33 Dl.O(d1) = 46901852,37024148,28526175,21304260,15335178,10591465,267881957,267881959,10591467,15143341,15143340,21082177,21127358,15178787,15178786,21127357,24908437,28335232,21123246,21123245,28335231,28339496,21127318,21127319,15334902,14928657,14928658,20827089,21126467,28338702,36835515,28360260,21144979,15192477,15179634,10470141,6902840,4334717,4334718,254327441,1486587,1486586,2580638,4315032,6873885,255013332,10594121,10594122,10593781,10593780,15176596,10466978,6988757,6988758,10593957,14576586,20311389,15109266,15109268,15338134,15178730,10469015,10469016,10467756,10426261,6874168,4315265,4315267,6874177,6898861,10464644,11962862,11962860,15338416,10594037,6988832,6988830,6988300,6901849,4333727,2593716,2593715,4333721,6881253,10438337,15134573,10466909,6901103,4333042,4333044,6901106,6899114,4331052,4331050,4335372,4335373,6903417,10439902,10439903,6904062,4336029,4336030,6901139,4333060,4333061,6901140,6903177,4335117,4335116,6900301,4391451,2631215,1519357,861470,486254,486251,861457,1519329,1488314,1488316,254220666,2594547,2580643,2580642,4315040,254491644,4334309,4334308,6902481,6903248,6903249,10466738,254222058,4336668,2596200,1497634,1497635,2596202,1499577,1497553,1496746,1495666,847505,847504,848171,848170,1496814,1496769,848145,848106,848105,847635,478670,269524,269525,478906,269655,269654,479174,848656,1497679,1495463,847408,478566,478564,847403,847858,1496277,2594168,2630399,2630398,4390272,6986768,6900074,4332043,2592399,2592400,2596125,2594225,1496314,847884,847883,847896,847897,1496334,2594252,3770368,3770366,6026717,4334978,4334508,2594325,1496386,847925,847926,1496388,2594328,1496923,1496926,1497356,2595797,4335726,2595776,1497615,848619,479152,479149,847420,1495480,2592873,2596169,2595826,2592848,2592847,4332608,4334299,4332597,2592840,2592839,4332591,6900662,10462421,10462422,10468803,10468778,6901277 Dl.O(d2) = 219744400,261867144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10339116, s2 = 7051986, dlinesl.size( ) = 34 s1 = 14857681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14857681, s2 = 8021499, int(edited[s2]) = 0 s1 = 14857681, s2 = 8021499, d1 = 17, d2 = 8 Dl.O(d1) = 254539779,254539781,11447351,16432261,22616915,29984090,38383864,29811585,29811584,29812296,29812297,38384706,34119142,256700083,38135087,37943364,29377996,29377997,37943365,46524763,255801142,15083079,20998286,25790552,25790553,33586133,38860283,30275644,30275645,33009523,25800507,255190310,28070158,255342048,18553230,13183030,13183029,256104353,36956595,255818581,15259737,15259740,21229738,21264498,17153239,17153241,23430087,23428884,17151727,17151508,15265704,10533276,10533278,15265713,10550181,10550182,15284660,21241296,21246119,15279694,10545774,6954928,6954927,10545769,15279685,21246112,17150935,17150934,23428222,21751536,21751537,21237256,15268813,10562998,6966987,6966986,10562996,255112154,8112249,8112248,12064505,10542277,6952570,4368595,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616728,1514296,1514263,1514264,2623580,4380782,267962067,15308905,18957793,13521559,9253255,6060251,3791852,2271423,2271422,3791849,3793921,6061754,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514327,13514435,9247344,6056295,6056292,9247337,13514421,18950983,20185230,21476007,15473405,10699895,10699859,7068989,7068991,10699867,15473374,10699883,10699884,13535047,13535048,18970272,21476064,22776362,268385122,10696799,10696797,12393482,8375443,5405340,5405339,8375441,11581777,7708915,7708916,11580534,11580535,7708924,4878746,4878747,7708925,11580839,11580838,11581049,10461953,10461955,15169328,21115329,28324961,36820118,46702616,58074641,256745834,47302327,52359111,43220242,43220243,53732291,47233382,47233381,257589196,41626919,32720960,256093204,18501100,22958117,30359604,35095205,27008836,20117283,20117284,27008837,24561392,20117280,14427076,14427075,18122328,14427005,14427006,255235946,13144390,8958683,5847529,3649187,3649188,5847531,8958689,10423005,11912144,12047326,8099415,5189026,5189025,8099411,11037577,15915995,22017582,22405237,16242782,16242783,20987682,20987681,22404743,16242423,11292193,7497308,4739311,2856306,2856307,4739315,7497320,11292217,16242460,22404807,28984147,21701393,16883036,11812607,11292439,7497458,7497457,11292430,11292429,16242722,11292399,11292398,15878324,15878322,21971965,22404620,19444309,19444308,26141159,33980658,43037964 Dl.O(d2) = 30609246,23189837,23189842,30609252,30609256,39205261,49132093,42147951,39459155,39459156,49387467,46926342,42147971,41730427,39459127,30854768,30854767,39459124,31824126,25443092,255260827,9180724,9180725,13427696,18846307,25443094,32810014,25107516,18558031,18558030,256104891,24307283,24307284,24307269,24307270,31824135,39459162,40520685,40520686,46926321,46926322,39205234,30609234,23189829,16922991,16922990,23189827,16922999,16923000,23189847,30609262,24288096,24288097,30854806,30854805,30854772,28548649,25443104,18846311,13427699,12050784,12050785,12699005,17922988,24307254,31809902,33188633,25443085,18846303,18846301,25443081,31802433,29442712,29442711,38005474,40505187,31824151,24307288,17923019,12699022,8627508,8627507,12699017,17923010,21324236,15352468,10605664,10605663,15352466,21324227,28548614,30854828,23423998,23424000,18846406,18846407,22109049,24288105,17906744,12685661,12685662,17906747,23423987,23423988,21324258,21324257,17146732,12050791,8101920,8101922,12050794,17146738,23423949,17912558,17912559,24294776,31809591,24294454,24294453,31809590,31809593,31824116,24307244,24294528,17912375,17912374,24294525,17922997,12699011,12699012,15997365,15997364,22109064,24295607,28548592,28548591,37048260,46926303,40521113,31824183,24307312,24307314,25107496,24294800,17912611,17906752,12685665,8616665,8616666,12685668,17906758,24288121,24294602,24294601,23423936,21324211,15352456,10605658,10605657,15352455,21324206,28548583,24294456,17912303,12690406,12690407,17912304,17912315,24294464,31809599,24294459,24294458,24307256,17922990,17922989,22109052,22109051,29442706,31809653,40497526,31802466,31802441,24294623,24294622,31809751,268206000,22109042,29442698,31802458,24288113,17906749,15997351,268221143,24306714,17922533,17922534,15997869,11106130,11106131,15997872,22109598,24294508,256339600,31802421,24294446,17912295,12690404,12690405,12690416,8620932,5604894,5604893,8620927,12690409,17912311,24294461,24294537,24294510,17912366,12690456,8620963,8620946,5604903,3480151,2065525,1185545,1185547,2065538,3480173,5604938,8621014,12690542,8621382,5605239,5605238,7365220,7365221,11105549,12698836,8627379,8616594,8616595,5602449,5602447,3484015,2068653,2068652,2069107,3484635,5610423,8627185,12685638,8616641,8616643,8620450,8628171,8628172,8627213,8627212,8621092,5605005,3480230,2065582,2065580,3480226,5604997,8621084,12690468,8620971,8620972,12690470,268264839,12699853,8628107,8628106,12699849,255597465,22109031,255886251,17912439,268005937,5610677,5610676,8628445,8616646,5601103,3476817,3476818,5601106,8616648,12685641,8620721,8620720,8620496,8620497,12689937,8620714,5604733,5604734,8620717,12690201,17912107,24294316,17922549,17922550,255205378,17913368,12698616,8627203,8627204,5610671,3484839,267850183,8621134,5605049,3480267,3480265,5605043,8621128,12690685,9744432,8618997,8618998,12688184,12690687,15199196,21154620,28371660,30854736,255536731,17146676,12690206,8620725,5604738,5604739,6407481,4019879,2408821,1393879,1393881,2408826,4019891,6407496,9744441,14174297,12698634,12698633,12700260,12691186,12691185,8627209,5609652,3484023,3484024,2069254,2069255,3484844,254423055,2069245,2069246,3477774,3477773,3484626,3476821,3476822,5601118,5604730,5609943,3484278,2068852,1187806,1187807,2068856,3484282,5609948,5367307,5367308,3480060,2065462,1185508,1185509,2065467,3480069,4019872,4019866,4019867,6407466,9744413,12690309,12690311,8627276,5609690,3484057,2068687,2068688,3484063,5604539,3479918,2068663,1187700,667256,667257,667468,1188073,2069242,3484654,5610442,8120450,5602091,3484667,2069126,2069127,3484670,5610457,8628218,8626163,5608839,3484544,3484543,5604846,8317730,5367296,5367297,8317734,8620747,5604750,3480051,3480050,3480078,5604787,8620790,7497620,7497619,5367313,5367311,8317762,12314097,17466472,17919544,17924232,17912060,17912059,24294286,24294236,17924544,12700230,8628410,5610644,3484814,2069229,2069228,3484811,5610639,8628404,12699944,17924209,12699953,8628196,5610446,5610447,8628198,12699955,17924218,24308707,24294417,17912238,12690345,12690347,12314068,8317739,8317740,12314069,12690350,17912244,21137875,21137877,28351558,23799070,17466465,12314087,12314086,10466545,10466544,15176000,21124365,17924564,12700245,8628420,8628421,255017251,254491757,2591473,2591471,4331131,6899208,10466566,12075740,12075741,17174542,17912264,12690373,8620895,8620896,12690377,8628407,8628408,12700225,255205025,11912217,11912218,16998024,23261060,17911995,17911994,21137882,15187447,15187448,12690325,8620851,5604831,3480108,3480109,5604835,8620859,10466538,6899195,6899194,8623790,12694353,17917355,24295808,17913362,12691201,10466547,10466549,15176013,16242286,22404566,29767331,31823471,37415977,28874339,21598866,15571151,10770522,7116342,7116341,10770517,15571144,18735857,17924540,17922527,16998016,11912212,7968309,5069995,3073639,1792933,1022705,1022703,1792928,3073627,5069964,7968258,11912126,16997879,23260859,256703082,26308328,34179769,43276207,259104839,258176954,67754402,269296539,46397388,57748210,61397190,257477788,269306012,257090515,31626402,24121050,17759726,12567266,254608873,2010467,2010466,3407848,5521038,8522246,11082846,15967414,22072475,26216108,34076866,39910145,31234169,23750913,23750912,31234167,34568243,26581902,26581903,34568246,33569883,25779676,19138381,13665812,13665813,11578282,7706736,7706735,11578280,16601240,22821083,268444292,18744182,13344043,13344045,255566286,8056542,5147653,3132351,3132352,5147655,8029818,5174660,5161785,3144856,2710524,1570283,1570280,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529113,5142585,3128268,1828753,1828752,3128267,3116462,254382431,3125619,1827093,1827094,1042940,1042941,1827204,3124405,3138317,3138319,2869587,2869586,254382713,1823243,1040736,586035,586034,1040734,1823238,1843235,3150502,5168261,5138760,5138761,8014693,5103049,3097684,3097685,5103053,3190341,3100193,1811329,1065025,598602,598603,1065026,1867072,3190305,5228501,5138956,3125363,3125362,5138950,3132854,3132853,3120259,3118150,3118149,4763118,5177270,8081440,8058307,5150003,5150004,8034042,8034041,8057741,7644380,5102420,5102421,8013922,5104428,3098702,1810515,1810514,3098697,4759600,2871270,1666377,947860,534386,299627,165968,165969,183809,183808,334084,599597,254180305,3194711,5170160,3152198,254377030,3102853,5110077,8021285,11165568,11165569,12005585,17067399,17067400,23333750,22453937,16284942,11326467,7522797,7522796,7522907,11326629,12125593,17070576,16287737,16287738,12014142,12014144,11973837,11973838,12017805,8077139,5172150,3153950,3153947,5172136,254161312,7990905,11939719,17024360,17024361,22454172,16285233,11326804,7523043,4756914,4756915,7523047,11326813,8067324,8067325,7990115,7990116,7990151,5085574,3085056,3085055,5085568,5952820,3722760,2229039,2229041,254440789,9098406,6832231,6832230,10370041,10382360,10308311,6821090,4278939,2558348,2558345,4278929,6821074,10357073,15029323,20937474,28114430,257782395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14857681, s2 = 8021499, dlinesl.size( ) = 2 s1 = 14857681, s2 = 8021499, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14857681, Dl.E( ) = 18, 2e-05 seconds used appending s1 = 820950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 820950, s2 = 92093, int(edited[s2]) = 0 s1 = 820950, s2 = 92093, d1 = 33, d2 = 23 Dl.O(d1) = 24188137,28495151,21277924,268379397,255816801 Dl.O(d2) = 1169052,1169051,2039948,3445282,5560777,8564128,11593967,12677751,8610070,5595851,3472657,2059938,1182128,663967,663966,1182129,2059943,3472664,2837823,254353697,7455428,11234247,11815189,11815190,16886028,12629441,8611125,5596691,254592467,5371154,8323610,8491835,5492457 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8301882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 592529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10140531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10140531, s2 = 16221478, int(edited[s2]) = 0 s1 = 10140531, s2 = 16221478, d1 = 3, d2 = 79 Dl.O(d1) = 7006032 Dl.O(d2) = 122568445,136497279,149716328,161980089,173112814,173112813,173112814,164735344,152904594,140214756,126868383,113016532,99028907,257782708,58804361,268142504,28965995,21684032,15644751,10827438,7156613,4507223,2708434,2708436,2708604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10140531, s2 = 16221478, dlinesl.size( ) = 22 s1 = 14072239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 825207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 825207, s2 = 562687, int(edited[s2]) = 0 s1 = 825207, s2 = 562687, d1 = 15, d2 = 10 Dl.O(d1) = 21354155 Dl.O(d2) = 14433167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 825207, s2 = 562687, dlinesl.size( ) = 24 s1 = 594703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 594703, s2 = 10179902, int(edited[s2]) = 0 s1 = 594703, s2 = 10179902, d1 = 1, d2 = 22 Dl.O(d1) = 15378414 Dl.O(d2) = 84623627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 594703, s2 = 10179902, dlinesl.size( ) = 36 s1 = 14048350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048350, s2 = 15710825, int(edited[s2]) = 0 s1 = 14048350, s2 = 15710825, d1 = 28, d2 = 51 Dl.O(d1) = 268071051,10641510,7025562,7025561,7025564,4418963,2650804,2650805,4418965,7025568,10641514,15397033 Dl.O(d2) = 31030745,39707714,255065508,255065510,73450207,256371100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048350, s2 = 15710825, dlinesl.size( ) = 14 s1 = 416974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14909059, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6547646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6547646, s2 = 11450076, int(edited[s2]) = 0 s1 = 6547646, s2 = 11450076, d1 = 49, d2 = 52 Dl.O(d1) = 255833031 Dl.O(d2) = 264461716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6547646, s2 = 11450076, dlinesl.size( ) = 18 s1 = 599081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6444480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6444480, s2 = 16108513, int(edited[s2]) = 0 s1 = 6444480, s2 = 16108513, d1 = 37, d2 = 57 Dl.O(d1) = 254501556,10686860,10686859 Dl.O(d2) = 177728168,177728167,187007638,180739289,180739288,189633822,187007643,177728169,167231135,155599944,261826307,129720034,129720033,129719982,129719976,129719977,143050468,155599929,155599943,261283531,115821093,115821092,129719974,115821049,115821051,101775059,87802679,74199156,61420550,61420551,74199158,87802681,101775060,115821114,129720048,261826297,129720019,129720020,143050498,143050482,129719993,129719992,143050479,155599924,143050458,129720017,115821081,115821080,129720015,143050495,262334269,177728156,167231122,167231123,177728158,263234965,263234967,273743593,263234969,167231133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6444480, s2 = 16108513, dlinesl.size( ) = 2 s1 = 6444480, s2 = 16108513, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6444480, Dl.E( ) = 60, 1.88e-05 seconds used appending s1 = 8052390, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 832412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14490519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15372817, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 420964, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10148353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16183765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16183765, s2 = 2111688, int(edited[s2]) = 0 s1 = 16183765, s2 = 2111688, d1 = 51, d2 = 43 Dl.O(d1) = 10382021,10382022,255797373,36618132,46484558,57840654,70542566,84079625,97953533,111891242,261064313,261337837,116794072,260170523,88692179,75041298,62218130,50697989,40638864,31923049,24390160,17990269,17990270,17990272,255171711,8314798,8314796,12310239,12026646,8085510,5808398,3623009,3623007,5808392,8901136,13062410,12027581,10486970,10486971,8085309,8085307,12026292,17113578,23384528,25559521,33321500,257208711,57818900,46462894,36596532,28123190,20945585,15037015,10364515,10019654,6585562,4126081,4126078,6585555,9714744,6391042,6391044,9714753,10263597,6744299,6744297,10263592,10782547,7124497,4485691,2695090,2695089,4485686,7124486,10782531,10782462,7124446,7124451,10782473,10967921,15827005,21908453,27220219,27220220,33005837,28158573,28158572,36633028,29943675,29943676,25424795,25424794,32982628,41922941,255799034,77256503,73437284,60688894,49287439,255650784,30759462,30721495,23303979,17043325,11956415,8004008,5095612,3093003,3093004,5095616,8004015,11956429,17043345,21192585,25408707,25408706,33149204,42103412,39322395,30724481,29448401,22114842,16002274,11109507,7368200,254764997,15564103,12344791,8340141,8340140,10360431,6824110,6824108,6824136,10360474,15032564,15032563,20941011,28118169,29253383,29253381,29253382,37818651,46271270,36418652,27960651,27960652,255498778,42491130,42491129,46271271,57615815,70306401,65132964,53147936,42697319,33666433,25860132,19202992,19202991,18076393,12815152,12815151,254628170,13715242,9394312,9394311,13715240,268012280,25860131 Dl.O(d2) = 15577149,15577150,21605616,255177704,30802207,30802206,38322797,29753253,28953755,25736357,23026924,19466983,19466986,26158979,30433089,29319918,29319920,26161537,19461513,13927529,9559421,9558827,9558824,7484566,7484563,11275107,16219519,21989782,21989779,29318390,31640165,33068299,25369372,18785387,18785386,25369368,28329048,29321151,37889344,47811549,53538660,43059232,34000813,26159070,255149080,34278030,37038670,28540017,21316465,21316466,28540021,36824192,34970001,26890821,26890822,23902508,17558129,13932859,9563592,6275624,6275626,9563600,13932873,19074179,13617431,13617433,13924757,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,6986232,6986236,10590599,15334044,21302726,28524338,37022151,43843660,43843661,34571770,26584613,19780611,19780610,20191278,20191277,27089482,35177600,44555071,49189131,60589456,57747812,46397009,36536063,32098204,24522953,22759451,20897922,20897920,28069210,36536065,46397011,57747813,70442951,83970308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16183765, s2 = 2111688, dlinesl.size( ) = 2 s1 = 16183765, s2 = 2111688, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16183765, Dl.E( ) = 52, 2.12e-05 seconds used appending s1 = 14083791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083791, s2 = 14119898, int(edited[s2]) = 0 s1 = 14083791, s2 = 14119898, d1 = 19, d2 = 29 Dl.O(d1) = 73254988 Dl.O(d2) = 37424711,37424712,256881539,27214279,35338229,44764439,257930187,81562554,95595942,109797913,123933779,137611812,150607969,154263928,141607955,128257405,114380845,100357163,86400615,72804978,60067247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083791, s2 = 14119898, dlinesl.size( ) = 14 s1 = 6608281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608281, s2 = 14064646, int(edited[s2]) = 0 s1 = 6608281, s2 = 14064646, d1 = 14, d2 = 21 Dl.O(d1) = 256491924,21666494 Dl.O(d2) = 255288857,13787417,9453257,6197669,3878997,2322997,2322998,3878998,6197671,9453262,13787425,19286264,25950501,30567101,30567102,35402406,44828133,55735880,53240487,53240488,47195813,47195812,255789672,52529104,49094764,49094763,60347491,72827848,60090512,268422462,38772312,48694273,38869417,30283593,22885817,22885818,30283595,30283597,268651537,23032854,23032855,25014053,25014054,32696452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6608281, s2 = 14064646, dlinesl.size( ) = 2 s1 = 6608281, s2 = 14064646, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6608281, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 842097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 842097, s2 = 10247676, int(edited[s2]) = 0 s1 = 842097, s2 = 10247676, d1 = 5, d2 = 11 Dl.O(d1) = 21667383 Dl.O(d2) = 193328002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 842097, s2 = 10247676, dlinesl.size( ) = 2 s1 = 842097, s2 = 10247676, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 842097, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 9683628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9683628, s2 = 14091930, int(edited[s2]) = 0 s1 = 9683628, s2 = 14091930, d1 = 34, d2 = 36 Dl.O(d1) = 254991409,10241579,14894460,20781275,27933766,36378006,46208491,57523780,70190606,71533584,58804585,47417415,37509623,28966225,21684266,15645002,15645003,12947086,8808933,8808934,9209975,13467937,15642372,10825174,9219014,9219013 Dl.O(d2) = 8608072,5593850,5593849,8608071,7081462,7081461,10718460,11245744,16179035,17895356,16182571,11248353,10718274,10718272,7466468,7466467,254774763,7466829,11248258,7466575,4718477,4718475,7466573,4718494,2842670,1649004,1649003,2842666,4718487,7466587,11248268,16178743,16178742,12675462,11248050,11245386,7464478,4717040,2841751,2841750,4717036,7464471,11245379,11248360,11246229,11245574,7464614,4717140,2841809,1648501,937299,937298,1648498,2841799,4717122,7464589,5010958,4717157,4717056,2842719,2842717,4718565,7466688,7465318,7465319,7466373,11245339,7466610,7465378,4717654,4458300,2678279,2678278,2842648,2842105,2842106,4717660,7465389,7466517,4718436,4718435,7466515,11248193,255087925,11248706,16182975,22329182,29680598,38245354,31663142,24152350,17785086,12587657,8539979,5538073,5538072,8539975,255196555,24152307,31663081,268780578,40358409,40358408,48150352,38241285,38241286,48150353,59537054,72270915,83932379,70406039,57711855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9683628, s2 = 14091930, dlinesl.size( ) = 12 s1 = 843015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 843015, s2 = 3989970, int(edited[s2]) = 0 s1 = 843015, s2 = 3989970, d1 = 7, d2 = 13 Dl.O(d1) = 21684401 Dl.O(d2) = 145116490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 843015, s2 = 3989970, dlinesl.size( ) = 2 s1 = 843015, s2 = 3989970, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 843015, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 11074874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8182542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7928760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 343586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15548710, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9475475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9026836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9026836, s2 = 5483329, int(edited[s2]) = 0 s1 = 9026836, s2 = 5483329, d1 = 144, d2 = 131 Dl.O(d1) = 258711243,257477811,37648336,29099408,21801629 Dl.O(d2) = 230988544,265959298,229519718,227866230,227866229,229519718,227866230,225984036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9026836, s2 = 5483329, dlinesl.size( ) = 24 s1 = 10341551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341551, s2 = 1963196, int(edited[s2]) = 0 s1 = 10341551, s2 = 1963196, d1 = 56, d2 = 18 Dl.O(d1) = 9250580,12258088,10558532,6963777,4375051,4375053,6048308,6048307,7745897,11628254,16661394,18958443,18958441,267886362,7211445,254749391 Dl.O(d2) = 50530506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341551, s2 = 1963196, dlinesl.size( ) = 2 s1 = 10341551, s2 = 1963196, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10341551, Dl.E( ) = 62, 2.79e-05 seconds used appending s1 = 14140561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140561, s2 = 9569303, int(edited[s2]) = 0 s1 = 14140561, s2 = 9569303, d1 = 9, d2 = 20 Dl.O(d1) = 222888280 Dl.O(d2) = 58945582,71667235,268908938,85232226,85232227,88321499,84232578,84232577,98127645,98880214,100556358,95591553,81557970,81557971,71379390,71379389,81557933,86594676,88009398,84954720,84954719,73218023,60471357,60471356,73218021,71379362,58643452,58643453,71379364,71379388,84954737,98880237,100556360,95591480,84954696,81557855,68067695,55668168,55668167,55668319,44757836,35329849,29106547,29106548,35329806,27204571,27204570,35329789,44757744,55668169,68067696,81557858,76369119,76369120,63826558,63336676,51612481,51612482,55668240,55668241,68067780,258356989,51612511,51612512,52010856,63826559,76934188,90810399,104988240,92923028,92923027,104354109,95591487,81557871,81557870,95591486,86874202,74404168,63336667,51612474,41386393,32535877,32535878,32535895,24890716,18390568,13062862,13062863,18390572,24890724,32535905,41386416,51612510,61625174,52010831,52010832,63826543,68067844,55668289,55668290,68067847,63336626,57966379,46589903,36702987,36702986,46589900,57966372,70684525,76934172,88009196,74403839,258745945,59430464,48038395,48038396,59430466,52010850,51612448,41386370,41386371,51612450,51612460,41699231,32782861,25085285,25085286,32782863,41699196,32782831,25085265,25085266,32782833,32782842,40122431,50143175,59430468,59430469,52010868,41699246,41699214,41699213,50143155,256529453,23951371,23951372,256529455,50143158,52010829,41699208,32782846,32782845,40122757,268998265,52010835,48038402,38125188,31442761,23951373,255571675,17605961,23951599,17605794,12427351,8399338,254404855,3331918,5420122,8399336,12427348,17605786,23951585,23951587,23951588,31443085,40122393,31443225,23951712,23951713,31443228,31443106,31443103,40122404,48669976,38748205,30164643,22775194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140561, s2 = 9569303, dlinesl.size( ) = 2 s1 = 14140561, s2 = 9569303, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14140561, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 15616441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15616441, s2 = 11035673, int(edited[s2]) = 0 s1 = 15616441, s2 = 11035673, d1 = 4, d2 = 15 Dl.O(d1) = 151786484,163661332,174494520,184139098,192586089,184139094,184139092,184139108,263747326,205999741,211080420,215233303 Dl.O(d2) = 15800457,11158825,7401399,7400668,4675189,4675190,7400672,11157700,11157834,7400765,4675243,2816556,1633995,929222,523765,523766,929230,1634003,2816575,4675280,7400823,11157932,11911176,15336951,15336953,16068681,11157559,7400575,4675138,2816506,1633969,929211,254099805,293531,523760,929215,1633980,2816524,4675172,7400640,4675707,2816823,1634159,1634158,2816819,4675699,7401536,9229908,11018120,7400920,7400919,7400734,7400730,7502898,11300918,11300925,8220000,8219999,11263764,7477568,4725856,2847439,2847437,4725841,7477539,11263712,16068638,16069547,16070720,22199761,29543002,28153759,254848186,15064179,20975155,22199714,16070662,11159127,7401593,4675737,4675738,7401595,11159129,16070667,22197560,21985792,15889489,15889490,21985636,15889363,11014737,11014738,12297968,11157873,8011538,8011536,11967822,10388450,8321326,5369479,3300957,1941476,1941477,3300959,5369480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15616441, s2 = 11035673, dlinesl.size( ) = 2 s1 = 15616441, s2 = 11035673, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15616441, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 500795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 500795, s2 = 11084025, int(edited[s2]) = 0 s1 = 500795, s2 = 11084025, d1 = 42, d2 = 57 Dl.O(d1) = 12727916,12727917,10976344,10976343,8648586,8648585,5625092,3494880,254344915,2756455,4581614,7265120,10976423,15839655,21925882,29245997 Dl.O(d2) = 255557666,11347362,7540298,7540297,9024602,13233960,18617424,25176931,32886040,41808705,52124343,63945171,257177257,32886244,25177074,25177073,32886240,41808925,257766469,257177235,52124490,41808856,32886174,256622907,52124489,58632483,258066517,74867458,62829003,62829002,52124380,52124381,41808772,41808773,50240744,41808858,32886175,256622909,41022792,32230783,32230784,41022794,41023008,41023009,51179296,62828951,71546081,62746533,51115296,40973106,40973107,51115299,41023085,40220566,40220565,50240646,258898473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 500795, s2 = 11084025, dlinesl.size( ) = 24 s1 = 617299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 617299, s2 = 13805146, int(edited[s2]) = 0 s1 = 617299, s2 = 13805146, d1 = 0, d2 = 72 Dl.O(d1) = 15843642 Dl.O(d2) = 219368624,216063785,212074645,207191628,201270986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 617299, s2 = 13805146, dlinesl.size( ) = 18 s1 = 619824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7599235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7863503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7863503, s2 = 14357049, int(edited[s2]) = 0 s1 = 7863503, s2 = 14357049, d1 = 83, d2 = 77 Dl.O(d1) = 1957883,1118390,254106127,191120,191118,348588,627481,501608,281297,155302,85205,85201,155290,85221,46709,46707,85150,85164,46678,46681,85172,155229,281171,501382,888645,1563113,1914992,1914995,3259444,3244429,1904192,1087066,1087068,1904202,3198670,3198666,5239576,4605307,2771543,2771540,4605291,7300855,255046045,8197986,5268239,5268238,5278119,5278120,8194535,5302589,5302591,8230891,12199931,12164419,8195871,5265973,3220842,1887531,1076945,604893,336693,254080001,55804,31498,31497,55801,101265,254088815,600473,334509,184004,184007,334522,600507,601369,1070120,603425,603424,1074027,1882531,1074016,1074017,1882536,3211463,2775716,2775717,3199273,4610028,254238064,15909456,15920642,12050539,8101674,5190587,5190585,8101665,12050531,17146432,23423617,30373845,28336928,21124766,16735845,11692586,7798344,7798342,10624891,7012568,7012570,8305127,12296786,17444616,23773839,30753757,24011801,17664655,12491330,8460399,8460398,12491325,17664646,24011792,30373888,38959545,31292863,23807270,22831954,17471061,17471062,16009020,11114593,11114591,16009013,22122929,22972338,16735887,11692610,7798355,7798356,11692616,8319890,8319889,12050520,12050521,17146418 Dl.O(d2) = 260079308,258838268,140109932,126760666,112908141,257607936,152803347,152803346,164641262,260079296,184951071,175402754,164641268,152803350,257607938,112908140,98920619,84995834,71422588,58689456,47298640,47298641,47776430,37853225,29285058,21959390,15866795,15866796,21959392,29285062,29905806,29905804,31108879,23623247,17308197,12184814,8215732,5286115,3238304,1899812,1084418,609037,338889,338890,609039,1084426,1899831,3238346,5286214,8215923,7873731,7873730,5230640,5230639,8159928,12128463,17246338,23555153,25157355,32864214,30441649,23034670,16790911,11740312,7838441,4975690,3005587,1745884,1745886,3005592,4975701,7838455,11740329,16791001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7863503, s2 = 14357049, dlinesl.size( ) = 18 s1 = 14566247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 661587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 661587, s2 = 11040325, int(edited[s2]) = 0 s1 = 661587, s2 = 11040325, d1 = 57, d2 = 61 Dl.O(d1) = 16889267,16889268,23149964,20228207,14515454,14515455,15941642 Dl.O(d2) = 23277848,17019539,17019540,21921185,21921184,21921182,21921181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 661587, s2 = 11040325, dlinesl.size( ) = 26 s1 = 9115630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9115630, s2 = 215541, int(edited[s2]) = 0 s1 = 9115630, s2 = 215541, d1 = 15, d2 = 19 Dl.O(d1) = 23281007,23281008,256475591,48506037,38591072,38591073,268627960,29403687 Dl.O(d2) = 3480467,2065762,1185689,1185688,2065760,3480466,5605271,8621410,12049666,8100981,8100980,7349861,7349860,11083659,11085223,7351042,4643316,4643317,7351044,5190444,254558712,5190443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9115630, s2 = 215541, dlinesl.size( ) = 2 s1 = 9115630, s2 = 215541, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9115630, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 6503562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6503562, s2 = 11068774, int(edited[s2]) = 0 s1 = 6503562, s2 = 11068774, d1 = 26, d2 = 14 Dl.O(d1) = 255305690,256270343,268221362 Dl.O(d2) = 256590524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6503562, s2 = 11068774, dlinesl.size( ) = 14 s1 = 438049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 438049, s2 = 1098324, int(edited[s2]) = 0 s1 = 438049, s2 = 1098324, d1 = 9, d2 = 3 Dl.O(d1) = 11116657,11116658,16011844,22126407,29460902,38022841,47936465,59328047,72062173,271329836,259361906,59328048,59328049,72062175,84432541,70875044 Dl.O(d2) = 58160810,58160811,58160815,46793252,36915506,28417726,28417725,28417716,21195568,21195569,28417718,36915494,269307451,70875012,259283775,112324938,126185397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 438049, s2 = 1098324, dlinesl.size( ) = 2 s1 = 438049, s2 = 1098324, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 438049, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 8058740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13393129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 625510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140286, s2 = 7452426, int(edited[s2]) = 0 s1 = 11140286, s2 = 7452426, d1 = 6, d2 = 30 Dl.O(d1) = 22198081 Dl.O(d2) = 266795945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140286, s2 = 7452426, dlinesl.size( ) = 2 s1 = 11140286, s2 = 7452426, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11140286, Dl.E( ) = 50, 1.69e-05 seconds used appending s1 = 9120057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9120057, s2 = 11135168, int(edited[s2]) = 0 s1 = 9120057, s2 = 11135168, d1 = 11, d2 = 10 Dl.O(d1) = 30724116,29303497,21976068,21976069,22808169,16590760,254795754,4874253,2937111,1703232,1703234,2937118,4874274,254101256,11957630,17045130,22154459,22154460,29493463,37403594,30196591,255114342,268337154,268649167,22807922,16590575,11570375,7701476,7701477,11570377,16590578,22807924,30198667,254169926,254795704,255834612 Dl.O(d2) = 255731887,34680401,256841184,31248259,257060259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9120057, s2 = 11135168, dlinesl.size( ) = 2 s1 = 9120057, s2 = 11135168, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9120057, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 14107655, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 253443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 253443, s2 = 13319320, int(edited[s2]) = 0 s1 = 253443, s2 = 13319320, d1 = 51, d2 = 71 Dl.O(d1) = 6174048,6174049,9422586,13751309,11220510,11220509,16150745 Dl.O(d2) = 60354804,48958674,47546008,37639770,31365448,23870878,17526406,17526408,23870884,31047739,39175584,30577911,23430574,17897104,17897106,17279989,12159360,12159361,17279992,23591975,31075342,39752964,49771460 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10172904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10172904, s2 = 6991515, int(edited[s2]) = 0 s1 = 10172904, s2 = 6991515, d1 = 76, d2 = 49 Dl.O(d1) = 11291141,255470477,22402955,29765598,255901397,16153652,16153651 Dl.O(d2) = 261081306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10172904, s2 = 6991515, dlinesl.size( ) = 2 s1 = 10172904, s2 = 6991515, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10172904, Dl.E( ) = 78, 2.5e-05 seconds used appending s1 = 16169512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16169512, s2 = 13539282, int(edited[s2]) = 0 s1 = 16169512, s2 = 13539282, d1 = 10, d2 = 9 Dl.O(d1) = 30147903,22760797,16548566,11534389,7673657,7673658,11534390,12344808,8340156,8340154,12344805,255564879,23849512 Dl.O(d2) = 15342838,14405177,9907986,6512014,4080783,2441828,2441830,4080788,6512021,9864982,9865081,6480221,4060739,2430358,2430359,4060742,6480228,9865097,14052057,9662482,6353920,6353916,9662474,9865055,9865054,14357227,20042088,26927639,28629504,21391028,21391029,28629510,24332630,24332625,31852711,40551029,50587015,46935630,37057284,28556634,21331071,21331072,28556635,28538345,21315168,15344462,10598962,6992603,4394450,4394449,6992599,10598954,15344449,21315151,28538325,34127499,34126233,26260461,26260460,34126232,43213799,34127486,26261328,26261327,34127483,43215221,43213795,43213796,53725706,65782196,65783564,65783565,65783566,71470655,71470654,71470653,58740870,53727162,53727163,65783536,79137962,93253122,98867269,84940411,71470647,71470649,74969324,84557919,70994264,65783557,65783556,79137986,93253152,259281580,85042610,89056530,75327649,71013737,58298396,58298397,71013740,84578460,98503845,98867268,84940409,71363777,71363778,79137955,257854825,47353237,47353236,269788541,269913079,62427900,75327655,89056538,260178667,272174682,79137980,65783553,257260547,43215228,53727178,65783559,79137989,93253157,260349775,112499443,98503844,98503842,112499439,126370759,112855192,112855193,126706970,140054391,152744483,140161355,126811267,112957085,270817177,85042613,98967730,103127058,112499432,98503840,84578454,84578455,98503841,103127055,89056533,89056532,93253144,93253141,93253139,107655889,103127098,103127099,117242994,103127115,103127116,102116100,102116101,116173672,117243068,117243069,131040927,144278258,155948515,143409720,143409719,131040916,131040915,260775709,117243084,117243089,126556814,117243086,117243087,117243036,116173667,116173666,130081375,261082092,103127108,89056592,75327686,62427923,50844145,50844142,50844141,62427916,75327673,84769120,71199935,58477964,58477965,71199938,84769128,98697562,88128302,258277171,258277173,88128304,260138357,89056552,75327661,62427904,50844130,256567655,257701841,62427927,62427926,71918627,71918628,85504007,89056595,89056594,85504018,71918637,59180474,59180473,258727897,68130106,61734649,61734650,59180478,47781352,37857643,37857642,37857641,37857630,29288902,21962521,21962523,29288905,37857634,38527748,29962164,29962163,38527746,48435687,59821652,68143084,81633177,270391334,67793557,55451447,44602485,44602483,44602484,46643102,58016568,64710404,55451445,55451446,67793556,81261863,95321563,109577034,98434072,84512613,70948983,58231751,46863824,46863825,58231752,58231759,46863829,257428441,70948989,84512622,98434083,259317282,83865867,70340498,70340499,65198044,53212352,53212353,65198046,65198042,53212350,42762568,33732685,33732684,256607088,46781796,255236336,21185507,21185509,17417768,17417769,23742328,23058441,23058440,21278151,15315922,10578201,8793951,8793952,12927078,15226514,10503071,6925584,4350710,4350045,4350044,6924432,10501205,10503068,10503069,15226512,11773480,7860375,7860376,11773503,255515365,22707915,256430337,38666827,48582970,59974656,72711635,86308465,100269967,100269968,260601460,100269963,86308462,86308463,100269966,114299709,261178618,137388691,259404096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16169512, s2 = 13539282, dlinesl.size( ) = 14 s1 = 10987516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987516, s2 = 1206712, int(edited[s2]) = 0 s1 = 10987516, s2 = 1206712, d1 = 19, d2 = 60 Dl.O(d1) = 37656414,29106781,21808108,15746671,15746673,21808112,29106787,256525990,48697748,48697747,58019872,46646615,46646616,46425473,46425474,38775511,38775512,47628782,37706483,37706484,38775529,48697776,59030847,47628666,46864988,46864987,46913914,37036465,28538062,21314931,21314930,28538059,37036459,42330447,33349031,25588693,25588694,21314935,15344302,15344303,21314937,28538068,29678117,22326981,16181231,16181232 Dl.O(d2) = 267264660,243681675,267177528,267029210,241707343,266984482,241707340,266936872,266936870,240821858,240821859,241281389,266984484,242463928,267109120,242100693,242100694,267177527,274930833,242463925,267144368,274871817,266830663,266635617,236321934,236321935,266770662,237150523,237150522,237905125,238590514,266984481,240326542,239793434,239217158,238590521,274683802,236321941,266477652,266560174,266387248,266182494,233328034,274494356,265310264,223413290,264650078,274152622,273643264,262964873,262508727,148110224,148110223,134987925,261481725,121179361,106912641,92594016,92594014,78546434,78546433,259706887,260322818,78546436,65256095,53266406,270558098,92594019,86830005,73216941,256164384,39136440,30537459,23118617,16859069,16859071,23118619,16859082,11791565,11791564,16859079,23118633,30537484,39136471,38775476,30191684,30191685,38775479,48697656,38775409,30191632,22801543,22801544,30191634,38775411,48697658,57743191,46392653,46392654,48880128,38993523,30404346,22999336,16759675,16759676,22999340,30404351,30404317,30404318,38437264,254521016,30191686,30191687,268397782,30191682,22801567,22801566,30191680,38775465,255444164,48880114,38961508,38775468,38775467,46392628,255639958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987516, s2 = 1206712, dlinesl.size( ) = 2 s1 = 10987516, s2 = 1206712, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10987516, Dl.E( ) = 62, 1.79e-05 seconds used appending s1 = 6695858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6695858, s2 = 2230682, int(edited[s2]) = 0 s1 = 6695858, s2 = 2230682, d1 = 23, d2 = 24 Dl.O(d1) = 257459592,50259539,40240234,40240152,40240151,50259441,258277483,53198821,42750018,42750015,53198817,63286155,51567856,51567857,50259510,40240212,269000937,59453340,48062115,38149322,38149323,48062118,42400043,33410886,33410885,42400040,42557861,33541589,33541588,33930995,33930996,42985006,42985004,42985003,52760457,52760458,61737922,50259548,40240241,31554200,31554199,40240237,32498538,24856346,24856347,32498541,33411628,33411629,256159984,25766548,22335995 Dl.O(d2) = 74458757,71544702,59999264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6695858, s2 = 2230682, dlinesl.size( ) = 2 s1 = 6695858, s2 = 2230682, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6695858, Dl.E( ) = 26, 2.88e-05 seconds used appending s1 = 873438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 873438, s2 = 8102360, int(edited[s2]) = 0 s1 = 873438, s2 = 8102360, d1 = 6, d2 = 67 Dl.O(d1) = 22336666 Dl.O(d2) = 29652188,29652187,268943190,53175949,42726478,42726479,39716710,39716709,49735309,59515818,67700461,55360579,55360580,59515822,59515821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 873438, s2 = 8102360, dlinesl.size( ) = 58 s1 = 874269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 874269, s2 = 7275606, int(edited[s2]) = 0 s1 = 874269, s2 = 7275606, d1 = 19, d2 = 141 Dl.O(d1) = 22352706 Dl.O(d2) = 212026154,264861334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 874269, s2 = 7275606, dlinesl.size( ) = 8 s1 = 15096951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15096951, s2 = 15703364, int(edited[s2]) = 0 s1 = 15096951, s2 = 15703364, d1 = 49, d2 = 39 Dl.O(d1) = 5877781,3669658,3669660,5877791,9003807,13208288,18586702,25141704,22626113,22626114,29994617,32850175,32850177,41771355,52085596,63904814,77002786,77002787,63892477,52074582,52074583,63892482,77002959,90881391,102863564,88834341,75157470,62305769,50759550,40679598,40679600,50759557,40691679,40691682,50749356,50749357,62288780,62170484,50666944,50666946,62181503,50705895,40644674,31927297,24393333,24393336,31927313,40644592,40645948,33581967,33581168,25786100,19141920,19141440,19141439,25785160,25781357,25781356,33572338,42590611,53032040,52075670,41762552,255513774,25137398,21801713,15741433,10901988,255055465,21801715,29099497,37648414,47553567,58935315,71656736,75609737,62665280,51037110,40898263,32123378,24544928,18110332,12841855,8732862,5685389,3536717,254427531,8732863,6195359,3877603,2322210,2322211,3877609,6195371,8830784,12973416,18108434,19280672,16138747,11211007,7438620,7438619,11211005,9449738,6195225,3877533,2322171,2322170,3877531,6195222,9449733,12988459,18298356,13354852,9126709,9126708,13354848,18755510,18297829,12988079,8841813,8841811,8841850,12988115,10604327,8841844,7116049,7116048,8830801,5754267,5754266,8830797,6195285,6195286,9449850,6996650,4397035,4397034,6996646,5685415,3536732,2105186,1212237,1212236,2105180,3536718,5685390,8732864,12841856 Dl.O(d2) = 84375955,70816980,256803908,28347121,21133929,15184202,15184201,16491703,11490338,7683933,4861912,4861913,5828274,4902784,4902787,5552422,8555213,5985552,5985549,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428937,11551898,16570795,16659126,11626661,7744843,4904521,2956094,2956095,4904526,7744863,11442707,7609164,7609166,11442712,16427413,16416863,11432646,7600915,7600916,11432651,11613765,9144666,9144665,11608961,16581359,22600534,16417274,11433115,11433114,16417272,11609578,11435311,7603300,4810121,4810122,7603305,7607969,4892167,2948135,2948136,4892173,7688486,5965303,3730302,3730301,5965302,7611544,4815535,2902009,1683527,1683529,2902015,4799140,2892697,1678857,955083,538511,538509,955078,1678845,2892680,4799105,4862064,2929842,1699437,1699439,2893890,2893889,1679853,955564,538724,301996,167224,92040,50780,50779,92036,167211,301961,538635,955367,1679473,2893927,1683426,1683425,2901784,4815143,5764188,5764186,4099434,2452269,1417718,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,2428035,4056252,4056255,6472683,9853785,14342654,15184203,15184204,21133930,28347122,36844651,46727777,37968468,268398727,22073960,256703859,19593402,14038815,14038816,256144063,19044236,13594606,9308669,6097685,3815158,3807908,2280987,2280988,3807913,6085841,3826386,2292419,1330122,759510,759511,1330127,2292429,3826402,4746272,4746275,7508708,6086088,6086091,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9289999,13568592,19011342,19585775,14031988,14031987,19122960,13653428,13653427,13676753,9365974,6134946,3838202,3838201,6134943,254937543,19153424,19102570,13638690,9339415,267862985,3827496,6117433,254935113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15096951, s2 = 15703364, dlinesl.size( ) = 2 s1 = 15096951, s2 = 15703364, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15096951, Dl.E( ) = 54, 1.91e-05 seconds used appending s1 = 14035674, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14065146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 877204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 877204, s2 = 14520829, int(edited[s2]) = 0 s1 = 877204, s2 = 14520829, d1 = 4, d2 = 9 Dl.O(d1) = 22414956 Dl.O(d2) = 255910985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 877204, s2 = 14520829, dlinesl.size( ) = 2 s1 = 877204, s2 = 14520829, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 877204, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 8132619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8132619, s2 = 14159866, int(edited[s2]) = 0 s1 = 8132619, s2 = 14159866, d1 = 11, d2 = 5 Dl.O(d1) = 48281040,38369593,29796873,22430479,16263205,11307325,7507268,4745519,2860002,1659944,1659945,2860003,4745522,254778903,16263220,268400831,22430532,16263246,16263249,16069604,16069605,22198641,22198044,16069099,11157893,11157891,11307376,11307377,11158278,7507438,4745614,2860043,1659965,944564,944563,1659959,2860030,4745585,5369461,3300946,3095742,3095743,5100265,7400581,11157577,12189960,12189961,17314462,22199632,22199080,22199081,29542384,23807378,23807377,29541109,22430366,22430365,23325459,22430770,16263452,11307494,11307493,16263450,22430768,22197518,16068552,16068551,11159254,7401685,4675799,4675797,7132603,5369566,5369568,8321490,8321318,8321321,8321569,7401500,7401502,11158993,11159091,16070626,11300945,7502910,6591062,4129241,4129243,4675113,7400525,4675399,4675400,7400537,8301680,8301679,7291695,4598154,2766213,2766214,4598140,7291672,7291636,7291637,11014738,12297968,11157873,8011538,8011536,11967822,10388450,6846508,4295978,2568366,1478743,1478742,2568362,4295965,6846485,10388417,15064242,20975212,22421032,16255510,11301625,7503324,4742899,4742900,7503328,11301628,11263931,7477674,254776037,7477796,4725988,4725989,7477824,11264195,11264291,16204009,22355560,23169919,24848043,24848042,22419587,16254177,16254176,22419585,22419667,22419666,16452695,16255137,16255138,22420637,29785185,255311908,11300816,11300819,16254408,18352125,22420283,16254821,16254823,16777884,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,255032450,18352147,18352145,23018917,17472560,12318544,12318548,14483502,14483503,16203397,22354841,17472551,17472550,18822221,25413917,23019135,16778619,16778620,23019139,18351716,13028671,13028672,12318407,12318405,8871714,8871716,13028616,18351629,16976371,16976370,23243531 Dl.O(d2) = 263010948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8132619, s2 = 14159866, dlinesl.size( ) = 2 s1 = 8132619, s2 = 14159866, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8132619, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 636110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 636110, s2 = 2219138, int(edited[s2]) = 0 s1 = 636110, s2 = 2219138, d1 = 10, d2 = 51 Dl.O(d1) = 16272394 Dl.O(d2) = 263247290,176423764,165763108,153991458,260726588,114081125,100054799,86092385,86092387,100054801,114081126,127961377,127961380,141321030,153991459,153991460,141321033,258268784,258891032,258891034,127961377,127961380,141321030,260726584,127961378,141321030,153991459,153991460,141321033,129625674,115729767,101684904,101684905,115729769,129625680,141321031,258891034,127961377,127961380,141321030,260726584,127961378,141321030,153991459,153991460,141321033,129625674,115729767,101684904,101684905,115729770,129625682,142952515,258891036,153991460,141321033,258268784,100054803,86092388,72494988,59760674,59760673,59760680,72494995,86092393,100054809,260615073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 636110, s2 = 2219138, dlinesl.size( ) = 18 s1 = 6436776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6436776, s2 = 6752052, int(edited[s2]) = 0 s1 = 6436776, s2 = 6752052, d1 = 78, d2 = 82 Dl.O(d1) = 254386279,1849617,1055564,593499,593500,1055571,1849629,3159674,5178601,8082552,11322250,7518541,4753100,4753101,7518545,11322261,16280320,11322660,11322662,16280919 Dl.O(d2) = 258084087,50266337,40246772,36695827,28205246,21012882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6436776, s2 = 6752052, dlinesl.size( ) = 24 s1 = 7890019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7890019, s2 = 2580163, int(edited[s2]) = 0 s1 = 7890019, s2 = 2580163, d1 = 14, d2 = 18 Dl.O(d1) = 16271807,11314510,7512620,4749079,4449347,4449348,7066791,7512539,7533812,11337125,7533834,7533833,11337160,16294669 Dl.O(d2) = 270112827,259138421,72879933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7890019, s2 = 2580163, dlinesl.size( ) = 14 s1 = 9079458, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15907063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15907063, s2 = 10148352, int(edited[s2]) = 0 s1 = 15907063, s2 = 10148352, d1 = 1, d2 = 1 Dl.O(d1) = 17529427,16960315,11872211,11872181,7935822,5046353,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,5073188,3076170,3076169,2777543,1611326,916737,916736,1611323,2777538,4612798,7308735,5830861,5086723,5086724,5086736,5086737,7130463,4488929,2696792,2696793,4488935,3313477,1949284,1113558,1113555,1949267,3313435,5388456,8348627,5389621,5389622,8350305,8350308,8350306,8350307,12358771,17524493,17524492,17524491,23868805,256505603,23656759,23656760,31143797,29914701,22557063,16379150,16379149,22557061,23679913,23679912,31168201,31168203,23679914,17359602,12229555,12229554,12291574,8301268,8301269,12291576,16737717,22315023,24074943,22317794,16172529,11239820,7460002,7460003,11239822,16172533,22317801,17370408,12238066,8263704,5331560,3277160,3277159,5331554,8263696,7073494,7073495,10706765,11238071,7458883,7458882,11238070,12237900,8263609,5331500,5331503,8263613,12237910,12240280,12240278,12301496,16165854,11233198,11233199,7461317,7461316,8264106,7799395,4945899,2985086,2985083,4945892,7799385,8092080,7458823,7458824,11237996,16170164,22315147,22974622,22834095,16612969,16612970,12630940,12630941,16168618,22313943,23694658,25463118,18862855,13439829,9189409,6015146,3762480,3762479,3763443,3763442,6016362,5347629,3286476,1932650,1932651,2941106,2941105,4881139,7712509,8307401 Dl.O(d2) = 17529427,16960315,11872211,11872181,7935822,5046353,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,5073188,3076170,3076169,2777543,1611326,916737,916736,1611323,2777538,4612798,7308735,5830861,5086723,5086724,5086736,5086737,7130463,4488929,2696792,2696793,4488935,3313477,1949284,1113558,1113555,1949267,3313435,5388456,8348627,5389621,5389622,8350305,8350308,8350306,8350307,12358771,17524493,17524492,17524491,23868805,256505603,23656759,23656760,31143797,29914701,22557063,16379150,16379149,22557061,23679913,23679912,31168201,31168203,23679914,17359602,12229555,12229554,12291574,8301268,8301269,12291576,16737717,22315023,24074943,22317794,16172529,11239820,7460002,7460003,11239822,16172533,22317801,17370408,12238066,8263704,5331560,3277160,3277159,5331554,8263696,7073494,7073495,10706765,11238071,7458883,7458882,11238070,12237900,8263609,5331500,5331503,8263613,12237910,12240280,12240278,12301496,16165854,11233198,11233199,7461317,7461316,8264106,7799395,4945899,2985086,2985083,4945892,7799385,8092080,7458823,7458824,11237996,16170164,22315147,22974622,22834095,16612969,16612970,12630940,12630941,16168618,22313943,23694658,25463118,18862855,13439829,9189409,6015146,3762480,3762479,3763443,3763442,6016362,5347629,3286476,1932650,1932651,2941106,2941105,4881139,7712509,8307401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15907063, s2 = 10148352, dlinesl.size( ) = 2 s1 = 15907063, s2 = 10148352, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15907063, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 426671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6555510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6555510, s2 = 450062, int(edited[s2]) = 0 s1 = 6555510, s2 = 450062, d1 = 1, d2 = 1 Dl.O(d1) = 255919902,16393495,11409695,11409696 Dl.O(d2) = 255919902,16393495,11409695,11409696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6555510, s2 = 450062, dlinesl.size( ) = 2 s1 = 6555510, s2 = 450062, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6555510, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 13364919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6555587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6555587, s2 = 1611998, int(edited[s2]) = 0 s1 = 6555587, s2 = 1611998, d1 = 72, d2 = 94 Dl.O(d1) = 255920451 Dl.O(d2) = 40622742,39411685,39411686,49341202,60744315,70936904,58219688,46851853,36973104,36973103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6555587, s2 = 1611998, dlinesl.size( ) = 44 s1 = 885115, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6705384, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7998864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7998864, s2 = 270403, int(edited[s2]) = 0 s1 = 7998864, s2 = 270403, d1 = 19, d2 = 4 Dl.O(d1) = 46605674,36717609,28224451,21028665,15104038,10417571,10417573,13133745,8951017,8951018,13133747,18486934,19799036,14181837,14181836,19799032,26606081,22655784,16462945,16462944,22655782,19194401,13708657,11470674,11470669,16462996 Dl.O(d2) = 14957650,10290738,6764902,4239572,2534852,2534851,4239570,254999151,10290736,14957649,20859089,27974268,20810684,20810682,19899185,19899183,26734184,26734190,26735771,26735772,25669986,19049549,19049550,13898507,13898508,19425078,26118475,27275427,21623221,15592705,10786783,7127023,4487027,2695779,2695782,4487036,7127042,10786812,7657296,4845077,2919751,1693751,1693750,2919746,4845066,4857812,4857815,7677254,4857795,4857793,7677251,7677243,7677242,11539819,16556009,22770033,30158189,38740770,48662212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7998864, s2 = 270403, dlinesl.size( ) = 2 s1 = 7998864, s2 = 270403, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7998864, Dl.E( ) = 116, 4.91e-05 seconds used appending s1 = 14859805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15175665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15175665, s2 = 645487, int(edited[s2]) = 0 s1 = 15175665, s2 = 645487, d1 = 10, d2 = 16 Dl.O(d1) = 64387199,52513551,42155611,33196252,33196251,33556105,38215139,38215140,48125470,59512987,52530404,42172462,33212852,268297083,13441873,9191248,9191247,13441872,18865000 Dl.O(d2) = 16502870,16502871,22707019,30088895,38666233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15175665, s2 = 645487, dlinesl.size( ) = 2 s1 = 15175665, s2 = 645487, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15175665, Dl.E( ) = 34, 3.29e-05 seconds used appending s1 = 666964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7866951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6602257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 493576, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14056447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 456794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 456794, s2 = 9123313, int(edited[s2]) = 0 s1 = 456794, s2 = 9123313, d1 = 1, d2 = 11 Dl.O(d1) = 11576831,7705726,4876841,4876840,267752914 Dl.O(d2) = 50419391,40384850,40384849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 456794, s2 = 9123313, dlinesl.size( ) = 2 s1 = 456794, s2 = 9123313, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 456794, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 650054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 650054, s2 = 8136239, int(edited[s2]) = 0 s1 = 650054, s2 = 8136239, d1 = 7, d2 = 9 Dl.O(d1) = 16606208,22827158,22827159 Dl.O(d2) = 48723918,258797783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 650054, s2 = 8136239, dlinesl.size( ) = 12 s1 = 6654390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6595202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16050014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16050014, s2 = 15692154, int(edited[s2]) = 0 s1 = 16050014, s2 = 15692154, d1 = 1, d2 = 59 Dl.O(d1) = 20238949 Dl.O(d2) = 112800872,98808011,84879142,258657584,47183933,37277994,28745544,268379238,23551076,17243005,17243006,17389790,17389791,17569554,12397742,8378458,8378457,12397740,12381531,8366650,5399871,5399870,8366645,12381526,17551968,23897501,17575428,17575427,23434763,18949235,18949234,21248544,21248545,17579187,17579186,15304926,15304925,10950318,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,10295682,12270567,12256150,12256152,12256724,12256725,17392699,21934420,15846740,10981989,10981990,15846741,12678487,12678486,17898246,13517106,13517105,18953775,25564959,20140038,14445989,9938126,6531945,6531944,6026922,6026921,9205731,13461524,18889810,21487410,15482852,10706680,7073444,7073443,10706679,11944694,11944693,11600128,11600129,16629986,21487403,21487402,17364819,12233936,12233935,17364817,22946698,16710342,11669294,7779074,4930214,4930213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16050014, s2 = 15692154, dlinesl.size( ) = 2 s1 = 16050014, s2 = 15692154, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16050014, Dl.E( ) = 60, 2.1e-05 seconds used appending s1 = 1697812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 905615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 658537, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 906791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 909035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14102591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14102591, s2 = 14128510, int(edited[s2]) = 0 s1 = 14102591, s2 = 14128510, d1 = 11, d2 = 12 Dl.O(d1) = 114865681,100814307,86833120,258820415,60474313,49071230,39141219,30542760,23124336,16864529,11796378,7877814,5001832,3022829,1757382,1757383,2106164,2106162,3538150,4355302,3022933,3022934,5002036,4603545,4603544,6591492,6591490,10029608,14575652,19818785,14196455,9759069,6416673,6416674,7261393,7261394,10970362,15830422,16649171,16649170,14198347,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,12030236,17119211,19664114,14095398,9694639,9694638,14095396,15159431,10454507,10454508,15159437,254723018,17636286,15376835,11838624,7911887,5029666,5029665,7911536,5029475,3044663,3044662,5029472,7911528,5440577,5440576,8428218,12459597,17636296,23124335,23124334,30542755,39141209,30542750,23124330 Dl.O(d2) = 30542755,257008573,60474310,73220646,86833119,100814306,114865680,128763002,142118485,154753141,166460242,177043285,186400626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102591, s2 = 14128510, dlinesl.size( ) = 2 s1 = 14102591, s2 = 14128510, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14102591, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 909175, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13318627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11096012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096012, s2 = 2595903, int(edited[s2]) = 0 s1 = 11096012, s2 = 2595903, d1 = 6, d2 = 5 Dl.O(d1) = 23162545,16900582,267986797,5024356,5024357,7904138,11827338,16900585,23162546,30579994,39177899,49107869 Dl.O(d2) = 73257721,86870331,100851286,114902027,101829990,87855373,74250774,61472664,49995214,39978925,31303991,31303990,256550154,31304141,31304143,36610197,28136467,28136466,36610194,31431122,31431123,31431132,40110588,40109310,40109309,39978928,31303993,23817021,17482054,255562411,31303985,23817017,23817016,256518441,39978913,49995195,258256247,87855363,101829984,261287775,143107095,155658699,167290531,177785048,187058733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096012, s2 = 2595903, dlinesl.size( ) = 2 s1 = 11096012, s2 = 2595903, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11096012, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11035674, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 283589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 283589, s2 = 13134648, int(edited[s2]) = 0 s1 = 283589, s2 = 13134648, d1 = 23, d2 = 18 Dl.O(d1) = 7048557,10671860,7909126,7909128,11834534,16908157,23171659,16910002 Dl.O(d2) = 155690164,167324155,177820494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 283589, s2 = 13134648, dlinesl.size( ) = 24 s1 = 662776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 662776, s2 = 15398186, int(edited[s2]) = 0 s1 = 662776, s2 = 15398186, d1 = 0, d2 = 13 Dl.O(d1) = 16918259 Dl.O(d2) = 255935545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 662776, s2 = 15398186, dlinesl.size( ) = 2 s1 = 662776, s2 = 15398186, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 662776, Dl.E( ) = 28, 2.79e-05 seconds used appending s1 = 6560226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6560226, s2 = 2773998, int(edited[s2]) = 0 s1 = 6560226, s2 = 2773998, d1 = 1, d2 = 3 Dl.O(d1) = 255969641 Dl.O(d2) = 81295115,95351336,86071201,72473110,257563186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6560226, s2 = 2773998, dlinesl.size( ) = 2 s1 = 6560226, s2 = 2773998, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6560226, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 6953771, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11059876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9104370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8068408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14857091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6457950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6457950, s2 = 15307168, int(edited[s2]) = 0 s1 = 6457950, s2 = 15307168, d1 = 47, d2 = 110 Dl.O(d1) = 254709586 Dl.O(d2) = 930182,1635800,2819612,3190109,3190110,5149145,3133616,3133617,254569051,5113594,254567611,8020244,5108944,3102017,1812438,1035014,1035013,1812436,1848703,1055029,1035216,1035214,590405,590403,1049471,1838999,3144110,5124212,3113542,1819459,1819460,3113545,5124224,5115309,3106904,3106905,3142754,3142753,5150886,5228359,5159395,3142755,3116942,3116941,2866826,2866828,3109662,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,587158,327848,327851,587173,1042925,1826320,1826321,3124397,5128578,3189380,3117612,1836567,1836566,3140534,5128106,8031068,5120309,5120307,5170857,4760291,4760292,5168813,3150899,1843451,1663435,946404,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1866765,3189881,3189931,1866951,1064967,1064966,1866948,3122807,3122808,5135761,3132007,1830947,254130963,328300,181020,181019,328299,588155,1044934,1830945,3132002,5143246,5168543,3150709,3150708,5157644,7521595,4755695,4755694,7521593,11325307,7522287,4756432,4756433,3109641,3109643,4755692,3155058,2866260,1663559,1663560,2866262,4755684,5130156,5139331,254357013,2866255,267892361,4760730,2869656,2869660,4760740,3098002,3098003,5103515,3149655,3149656,3159049,3129008,1829202,1044010,1044009,1829200,1836050,1832460,1832462,1832419,1832416,2819970,2819968,3101500,1869618,1869617,3105319,1824650,1041531,1041530,1046785,1834307,1837408,1048529,589913,589915,590318,590316,1049273,1838614,1049259,1049258,1838613,3143515,3143534,3106399,3106400,3118306,3189730,5227979,5134649,3121846,1824658,1824659,1867255,1065148,598681,333565,333566,598551,598550,333512,183538,100580,55457,55458,100601,183605,333699,598942,1065590,1868018,3110419,3098950,3098953,5104719,3098887,3098888,5104730,3110330,254381857,8030748,5157793,3141306,1865757,1865754,3188395,5120249,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693,588690,329257,329254,583425,326092,326094,583432,1035497,1035581,585703,585702,1040097,1821977,3117570,5111801,4760343,2869399,1822905,1822906,3119010,3154236,2870960,1666197,1666199,2870963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6457950, s2 = 15307168, dlinesl.size( ) = 2 s1 = 6457950, s2 = 15307168, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6457950, Dl.E( ) = 112, 4.6e-05 seconds used appending s1 = 6564758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6564758, s2 = 15060326, int(edited[s2]) = 0 s1 = 6564758, s2 = 15060326, d1 = 2, d2 = 16 Dl.O(d1) = 256018352 Dl.O(d2) = 8051444,11998635,17067736,11987340,8081682,8081683,12021547,12005087,12005086,12000099,8053468,8053469,11327893,8163927,5233857,3194432,1869837,1869836,3194427,5233849,8163921,8075969,5170954,5170953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6564758, s2 = 15060326, dlinesl.size( ) = 2 s1 = 6564758, s2 = 15060326, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6564758, Dl.E( ) = 22, 1.22e-05 seconds used appending s1 = 6619819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6619819, s2 = 216735, int(edited[s2]) = 0 s1 = 6619819, s2 = 216735, d1 = 49, d2 = 44 Dl.O(d1) = 256616310,32086588,28255903,28255902,30626633,23204109,16933912,255411506,11851759,15124429,255139652 Dl.O(d2) = 5116270,3107588,3107589,5116271,5146457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6619819, s2 = 216735, dlinesl.size( ) = 44 s1 = 919648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 919648, s2 = 14048924, int(edited[s2]) = 0 s1 = 919648, s2 = 14048924, d1 = 4, d2 = 7 Dl.O(d1) = 23354555 Dl.O(d2) = 81155515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 919648, s2 = 14048924, dlinesl.size( ) = 2 s1 = 919648, s2 = 14048924, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 919648, Dl.E( ) = 20, 2.69e-05 seconds used appending s1 = 14134261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14051391, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6466360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6466360, s2 = 11445640, int(edited[s2]) = 0 s1 = 6466360, s2 = 11445640, d1 = 24, d2 = 41 Dl.O(d1) = 254830797 Dl.O(d2) = 33662272,269528219,78409793,92445379,106750030,121002734,134799246,262006041,160165657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6466360, s2 = 11445640, dlinesl.size( ) = 14 s1 = 14024947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14024947, s2 = 839089, int(edited[s2]) = 0 s1 = 14024947, s2 = 839089, d1 = 9, d2 = 23 Dl.O(d1) = 1419466,2455576,4105286,4105285,6553129,9971076 Dl.O(d2) = 21606058,28077494,23872998,23872997,28381138,36877484,255111892,15290348,15290347,21255026,28474721,36638705,28163653,28163654,36638706,39193179,30595996,30595997,39192211,49120206,40111749,31432753,23941716,17597259,17597258,23593620,22547424,16371450,11393456,11393455,11393448,11393451,16371421,22547387,22704143,16500368,11496952,11496953,16500369,22152044,17595298,17595299,23286589,23940515,17596306,12420341,12420340,17596305,23940514,17596705,17596206,17596205,23940406,25274547,31432309,40111434,36778547,28282493,28282495,32150638,24567237,18127092,12853721,8740896,5690489,5690488,8740892,12853712,18127076,15146356,15146357,21086323,20320004,14582682,14582681,20320000,20320027,14582693,10034270,6594816,4131565,2471428,1428534,812632,460575,259786,259789,460580,812614,460567,460566,812610,1428476,2471318,4131329,6594370,10034160,13607757,19061432,19061366,19061367,18738698,18738700,18128544,18128545,24569145,22438647,22438646,29804770,38061965,33780596,25970339,19303652,13802172,9464919,6206101,6206099,9464914,13802164,19303639,21111099,15165033,10458422,6893739,6893740,10458426,15165039,21111107,21115499,15169469,15169468,20170144,14471376,14471375,20170142,23950035,17604251,254493964,10481865,6910837,5866863,5866865,5600376,3476351,3476350,4328016,4328019,6894803,8986447,8986448,6895418,6893211,6893210,6894148,6893660,6893662,10458287,10459033,6894166,6894164,10459026,15165835,21111284,15165992,15165990,21112091,21112815,15166655,10459693,10459694,15165561,15164026,15164027,21109963,15831750,10971301,7262008,4579851,4579849,7262002,10971292,10461083,10461082,10460973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14024947, s2 = 839089, dlinesl.size( ) = 2 s1 = 14024947, s2 = 839089, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14024947, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 14091161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6433610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6433610, s2 = 904873, int(edited[s2]) = 0 s1 = 6433610, s2 = 904873, d1 = 5, d2 = 10 Dl.O(d1) = 254330204 Dl.O(d2) = 23022790,30428223,268648307,16559403,16559402,22774435,30163711,30563548,23146502,16886193,11815337,7893381,7893382,11815339,16886184,23146486,30563526,39160936,30563550,30563549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6433610, s2 = 904873, dlinesl.size( ) = 18 s1 = 14857495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14857495, s2 = 6777653, int(edited[s2]) = 0 s1 = 14857495, s2 = 6777653, d1 = 84, d2 = 83 Dl.O(d1) = 112758269,99579613,85629611,84841267,71267187,58535483,47147176,47147177,58535486,71267190,71375046,70771117,58052735,46677985,36791929,36791931,37240815,37241871,256869425,47147356,258059979,58535459,58535704,58535703,58535442,47147209,37241908,256869435,256398291,22304678,16158784,11226706,7449213,7449216,11226719,16158812,22304719,29656447,36531005,46391365,43360307,43360308,48010588,48010587,52352865,42013467,269790634,72253608,59519614,48132330,38222247,38222246,48132328,46866405,46866406,58234284,258194930,59396590,48008168,257053844,46780509,36902723,28405350,28405351,33219157,25472374,25472373,28519951,21298969,21298967,21180571,21180569,28401164,30467860,23672617 Dl.O(d2) = 256081479,41181018,258344635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14857495, s2 = 6777653, dlinesl.size( ) = 2 s1 = 14857495, s2 = 6777653, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14857495, Dl.E( ) = 86, 3.41e-05 seconds used appending s1 = 14034506, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7984406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7984406, s2 = 2888054, int(edited[s2]) = 0 s1 = 7984406, s2 = 2888054, d1 = 76, d2 = 59 Dl.O(d1) = 255536930,12407961,12407960,12678661,12390941,12390942,255182405,17552351,12381912,8366936,8366934,11825434,10536535,10536537,12407219,12407218,15464357,15464356,15803268,15464380,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408013,254259934,17571700,17561466,12390579,12390580,8386564,5411828,5411826,8379928,8379929,12399760,17165971,16660776,11627820,11627821,16660781,18961569,18961570,17578232,17380782,17380783,12249364,8272903,8272904,12249369,17383017,17471347,12317622,12317621,12378970,17393319,17393318,17399839,17399841,17546781,17378981,15118171,10427816,10427814,10295679,10295680,13507911,12256757,12256759,9245459,9245460,12261852,12261849,17399432,23723317,23891315,17544734,17379662,12247117,12247120,12264258,8282531,5343539,3284156,1931452,1103364,619122,619123,1103369,1931422,1930843,1930847,1103168,1103170,1931009,3281471,3281470,5338380,254843237,17384081 Dl.O(d2) = 86218871,100182410,114214381,128102601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7984406, s2 = 2888054, dlinesl.size( ) = 2 s1 = 7984406, s2 = 2888054, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7984406, Dl.E( ) = 82, 3.5e-05 seconds used appending s1 = 7960488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13213045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7903525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019310, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 938087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13390397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15475069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15436791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15436791, s2 = 13250334, int(edited[s2]) = 0 s1 = 15436791, s2 = 13250334, d1 = 1, d2 = 1 Dl.O(d1) = 193302267,184967925,175423282,164664545,152827922,140133445,126782989,112928499,98939289,98939288,271487891,89749121,75970173,62987620,256880770,41126411,32313364,24699832,18230065,18230066,24699834,31094180,23610628,23610627,25369226,25369227,33103987,42053147,33478214,33478215,42471761,37406861,28865700,21591163,15564819,15564820,254337534,37406864,47315394,47149719,37244537,28713630,21458100,15458507,10688439,7060936,4445434,2670482,1546735,879133,879132,254225931,4445414,7060892,10688362,15458399,21457962,28713492,257449375,47149569,58537857,59856300,256266006,38552732,30859259,23428140,17150832,12054341,12054343,17150836,23428145,30859265,28365079,28365080,36863377,46744683,51603304,52689757,42302924,33322129,25560102,18947275,18947273,25560095,33322116,42302911,52689744,64590386,269142948,26342165,19613333,19613334,26342166,34211296,26337637,19609249,14051215,9661902,9661903,14051220,9663747,6354654,6354655,9663751,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354730,9663904,254676542,23138422,30555857,39153542,49083601,60487023,73233885,86846925,100828176,114878953,128775200,129805629,115905584,101859735,87886675,74284447,61507940,50029769,40011140,31332869,23841073,17500677,12339973,8336641,5380694,3308719,254185573,624017,346799,190169,103850,57091,57089,103845,168659,168658,304672,543699,964851,1696837,2924871,2535463,2535462,2925748,2925747,4855021,6774515,4264215,3718006,2226385,1291331,1291333,1458357,1458356,2530645,4232009,2530268,2530269,4232011,5944785,3717427,2226005,1291138,1291137,2226004,2226034,3717465,5921352,3702611,3702613,5921360,9057029,13272181,18663923,14998917,254714064,6797699,10329344,14974400,10306660,255000723,8598333,8598332,12659768,17876350,13304389,9086014,6788274,6788273,10318508,10351681,8597720,8597719,255202655,14970737,10302920,6774963,6774964,6801454,5583811,5583813,5583788,5583789,8593766,9647404,9647392,6343198,6343196,6832218,5985531,5585489,5585490,8596159,9101222,9101224,9987116,12330477,8597404,5586372,5586371,8133906,5211706,5211708,5211733,5413379,5208456,3177686,1860129,254388495,254830753,12088848,17191922,23473305,30908718,39517692,49449707,60851579,73601301,87223574,101224650,115302975,261263367,155239274,166924343,177463170,186770257 Dl.O(d2) = 193302267,184967925,175423282,164664545,152827922,140133445,126782989,112928499,98939289,98939288,271487891,89749121,75970173,62987620,256880770,41126411,32313364,24699832,18230065,18230066,24699834,31094180,23610628,23610627,25369226,25369227,33103987,42053147,33478214,33478215,42471761,37406861,28865700,21591163,15564819,15564820,254337534,37406864,47315394,47149719,37244537,28713630,21458100,15458507,10688439,7060936,4445434,2670482,1546735,879133,879132,254225931,4445414,7060892,10688362,15458399,21457962,28713492,257449375,47149569,58537857,59856300,256266006,38552732,30859259,23428140,17150832,12054341,12054343,17150836,23428145,30859265,28365079,28365080,36863377,46744683,51603304,52689757,42302924,33322129,25560102,18947275,18947273,25560095,33322116,42302911,52689744,64590386,269142948,26342165,19613333,19613334,26342166,34211296,26337637,19609249,14051215,9661902,9661903,14051220,9663747,6354654,6354655,9663751,14053849,19612358,19612738,14054117,9663897,6354728,3987117,3987118,6354730,9663904,254676542,23138422,30555857,39153542,49083601,60487023,73233885,86846925,100828176,114878953,128775200,129805629,115905584,101859735,87886675,74284447,61507940,50029769,40011140,31332869,23841073,17500677,12339973,8336641,5380694,3308719,254185573,624017,346799,190169,103850,57091,57089,103845,168659,168658,304672,543699,964851,1696837,2924871,2535463,2535462,2925748,2925747,4855021,6774515,4264215,3718006,2226385,1291331,1291333,1458357,1458356,2530645,4232009,2530268,2530269,4232011,5944785,3717427,2226005,1291138,1291137,2226004,2226034,3717465,5921352,3702611,3702613,5921360,9057029,13272181,18663923,14998917,254714064,6797699,10329344,14974400,10306660,255000723,8598333,8598332,12659768,17876350,13304389,9086014,6788274,6788273,10318508,10351681,8597720,8597719,255202655,14970737,10302920,6774963,6774964,6801454,5583811,5583813,5583788,5583789,8593766,9647404,9647392,6343198,6343196,6832218,5985531,5585489,5585490,8596159,9101222,9101224,9987116,12330477,8597404,5586372,5586371,8133906,5211706,5211708,5211733,5413379,5208456,3177686,1860129,254388495,254830753,12088848,17191922,23473305,30908718,39517692,49449707,60851579,73601301,87223574,101224650,115302975,261263367,155239274,166924343,177463170,186770257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15436791, s2 = 13250334, dlinesl.size( ) = 2 s1 = 15436791, s2 = 13250334, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15436791, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7573435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11036640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060325, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10174002, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15651153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15651153, s2 = 8295933, int(edited[s2]) = 0 s1 = 15651153, s2 = 8295933, d1 = 101, d2 = 145 Dl.O(d1) = 263065030 Dl.O(d2) = 23908039,23908040,31218084,31200714,31200715,37821090,39893536,40086578,31406244,23915074,23915075,23915087,23915086,31406250,25577200,23911754,17568717,17568716,23911753,23733665,17562706,17562705,23089540,17421306,267962016,12259160,8279234,8279233,7268251,4583650,4583647,7268242,254496502,21932449,255392636,47741108,256849686,59139842,59139841,71878089,85462846,258662480,127262197,127262196,127262197,140607632,272176588,261640502,185331212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15651153, s2 = 8295933, dlinesl.size( ) = 2 s1 = 15651153, s2 = 8295933, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15651153, Dl.E( ) = 150, 4.1e-05 seconds used appending s1 = 6443919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 869272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 869272, s2 = 14356469, int(edited[s2]) = 0 s1 = 869272, s2 = 14356469, d1 = 18, d2 = 17 Dl.O(d1) = 22246412,17573660,12401782,12401783,11582414,11582413,16607047,15305722,15305721,17561555,13516781,9249160,9249159,13516779,18953441,23436622,23721498,23721501,23914293,31403055,31403056,31221619,31221621,28475718,28475719,33326911,269510875 Dl.O(d2) = 30588071,28896160,21620525,15590160,15590157,21620518,28896151,34269203,43368429,254723108,29849389,255021176,23679461,31167796,39849887,49872156,61353877,74135454,87741119,87741129,87741130,98439400,84517757,70954134,70954135,84517760,92355208,78321632,65041787,53058986,42611330,255752332,25791832,33587452,257227079,270020317,92355211,101715408,87741112,269868201,49872149,39849884,31167794,23679458,256003033,39849881,269393935,259492811,115761533,129659308,270298192,114141476,102441864,269318878,62010755,50518683,50518682,48421739,38514551,29950056,29950055,38514549,48421736,258150775,86141196,81151883,270660641,81151962,67686262,55346621,55346620,67686260,270660643,86141195,86141194,100107600,258868569,270898533,261557532,259790330,81151948,81151947,260402955,114141452,114141453,128030352,129659305,115761532,115761531,129659302,142987631,141398609,128030363,114141472,260618135,114141449,114141450,100107627,258774641,269348975,48421733,59807548,72542685,86141206,271345235,123656115,261557537,154072456,141398604,128030350,260017777,271345233,261195417,260402956,95208976,258533886,257313814,44500218,55346528,67686183,67686271,55346629,44500313,35122495,35122496,257313817,67686273,81151973,81151942,81151943,95209036,109463609,114141434,100107598,100107599,260618131,261742587,141398602,141398601,261195421,260017781,259399751,109463547,109463546,123656082,123656117,109463619,259162816,67686277,55346633,256748094,27035354,20142445,20142444,27035351,35122498,44500317,55346631,258533889,95209071,100107592,86141166,72542648,72542649,86141168,86141173,81151971,81151970,95209068,100107573,86141153,81151966,81151967,95209063,86141182,72542656,72542657,86141183,100107614,114141457,260402950,95209050,81151954,67686258,269193398,35122491,27035348,20142440,14448216,14448215,20142438,27035346,35122486,44500298,55346610,67686246,81151939,259790337,100107595,95208918,95208917,109463484,114141438,100107589,100107590,109463631,109463630,109463605,95209029,95209030,109463578,95209040,81151945,67686251,259790339,123656111,260994588,123656017,261557530,100107576,95209025,81151933,67686240,67686241,81151935,81151921,67686228,55346606,257913525,67686229,67686230,259162823,271659432,260402948,81151931,67686237,55346602,55346603,270137907,95209022,86141149,72542636,59807526,59807527,72542638,270850719,114141426,128030337,123656099,109463581,95209003,258533878,55346597,44500289,35122481,35122482,44500290,55346601,67686233,81151928,95209014,109463593,261557535,161822795,161822796,261985238,122281397,272059859,107868217,93440505,79309759,79309758,93440503,107868212,114141422,114141421,128030335,141398596,136255026,122281455,122281451,122281452,122281382,122281381,271996794,161822801,150427248,137387292,123656103,109463587,95209010,81151925,81151924,259790333,123656101,137387289,150427242,149518050,149518051,149518088,136255034,122281469,107868209,93440501,93440500,107868204,122281465,136255032,149518086,149518084,136255020,128030342,260883560,122281434,122281435,136255018,137387234,123656012,260994585,260358187,107868142,259740261,79309698,65945305,65945306,79309700,93440433,107868137,122281393,107868196,93440492,93440491,107868194,122281457,260288252,107868182,93440483,93440482,107868180,122281438,122281402,107868143,93440438,258479423,53877826,53877827,65945310,79309704,93440440,79309752,65945353,258479431,93440497,107868199,122281460,136255030,133994985,120153992,105942119,105942120,120153994,271615915,79309743,65945345,53877849,53877848,65945343,79309739,93440447,258479427,53877831,53877832,65945317,79309707,93440444,79309761,79309760,79309696,65945303,65945302,53877856,43352818,34252809,34252810,43352821,53877860,65945357,79309754,93440499,107868201,259876062,99041141,259672634,271047192,136255014,122281431,107868175,107868172,259109261,257862013,53877850,65945348,79309745,93440487,107868186,260954913,136254991,122281448,107868189,259109263,65945349,53877853,257862015,79309728,93440468,99845904,99845905,93440462,257862006,122281407,122281408,270071706,93440486,107868184,122281442,136255024,136254993,122281404,107868145,93440442,270071703,65945312,259109257,93440452,79309712,65945320,65945319,53877843,43352812,34252807,26375633,26375632,34252804,43352807,53877839,65945330,79309724,93440460,93440419,79309779,65945382,65945381,269577369,43352827,34252820,26375642,19642234,19642233,26375638,34252815,43352824,53877867,258479433,93440509,79309765,79309766,93440511,107868168,93440466,270071709,65945331,79309719,259109259,65945384,53877881,53877882,65945387,79309783,93440518,79309788,65945396,270598095,65945404,79309768,65945371,257267293,257267291,65945334,65945335,258479441,53877887,43352841,34252824,34252823,43352839,53877884,258479439,65945397,53877904,43352860,34252838,34252839,43352862,53877908,65945401,259109267,269144891,34252782,26375649,19642240,19642242,26375652,34252836,43352858,53877816,43352793,34252796,256707127,43352848,34252828,34252826,43352780,43352781,53877801,43352835,257267295,53877874,43352833,268526639,19642235,255717091,26375611,19642215,254957883,254463299,3996578,254957881,19642202,254957891,9683206,14078351,19642244,26375657,34252833,26375647,26375646,34252830,269144893,79309688,269086472,34252786,26375608,26375609,256707123,28978668,256187129,14078365,9683215,6369158,254957895,19642210,254957885,6369150,3996580,3996579,6369148,9683202,255306643,19642218,19642217,26375614,256139498,64624707,256139496,43352863,53877909,53877813,53877811,53877805,43352783,34252784,26375681,26375680,256187127,14078361,9683212,9683211,255306647,19642207,19642206,24439874,268322859,14078344,9683200,9683199,14078342,19642223,256187123,43352794,53877818,65945296,79309692,84852263,77308496,64160468,64160467,65542146,257438136,43039939,53518227,43352896,34252873,34252875,43352898,43352888,34252867,26375675,26375673,34252865,257267299,40752102,31998179,24439878,18024345,18024346,255965700,16263536,16263537,17446651,17446652,255911393,23169807,23169808,17446479,12298074,12298073,17446478,16254426,11300829,7502854,5419514,5419515,4742610,4742607,7502768,4743010,4743009,7503538,7831936,7831935,11731066,16778396,23018875,23018854,23018853,23018861,29033940,29033939,31291891,31291890,37731207,38357296,30424566,23019708,16779155,11731609,7832275,7832274,11731608,16255096,11301327,11300884,11300883,16254505,22419965,17473490,17473489,23806596,22420283,16254821,16254823,16777884,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,8871968,12319436,11264095,7503432,7503435,11301773,11730726,8321142,8321141,11264012,11730840,16778004,16255056,11301292,7503127,7503125,11301284,16255034,16778049,11730858,7831832,4971468,4971467,254807759,16778037,255531912,18352214,13029073,8872000,5784311,5784196,5784194,8871756,13028689,13028803,8871843,8564631,8564633,12617253,17472430,12318448,12318451,9313671,9313668,12318519,17472524,23805707,29786009,31291853,257646469,258877905,260147608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 869272, s2 = 14356469, dlinesl.size( ) = 2 s1 = 869272, s2 = 14356469, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 869272, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 13223961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6771384, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14871431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14871431, s2 = 16126466, int(edited[s2]) = 0 s1 = 14871431, s2 = 16126466, d1 = 28, d2 = 30 Dl.O(d1) = 17631302,12453069,8421392,8421393,12453066,17631299 Dl.O(d2) = 219871718,222602366,224947386,226984099,228759876,227131703,225114537,222793103,220094180,220094181,222793100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14871431, s2 = 16126466, dlinesl.size( ) = 2 s1 = 14871431, s2 = 16126466, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14871431, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 16126465, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14069135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15527345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15527345, s2 = 15218110, int(edited[s2]) = 0 s1 = 15527345, s2 = 15218110, d1 = 87, d2 = 92 Dl.O(d1) = 8446519,5455174,3353729,3353730,5455176,8405989,5424243,3334498,3334499,5424246,8405992,12437387,12459739,12455951,12455952,12456615,8434472,8434471,8407506,5426602,5426606,5437673,5450159,5450156,8406317,8406316,10937591,15787787,21860255,17648496,12476346,12476345 Dl.O(d2) = 7953879,7953880,11894880,11889069,7948901,7948902,8071829,8071828,7986047,7986048,7082374,4459014,4459015,254086678,5052050,5052049,7943929,11882586,254079754,15976262,11873030,11873034,16961124,23233839,30655164,30687433,24000856,267838024,30664494,23275739,19201822,254534872,17098469,12012197,8070149,5254323,5254325,8184708,12154194,17274812,21710424,17004403,11917542,11917541,12154183,12154184,11886086,11886085,7972323,7964981,7964979,5078775,5078774,7941032,7941033,11878685,11884381,11213224,7440227,4701249,4701250,7440192,10834941,7162231,4510932,4510936,7162201,7162203,10834900,15653785,21694132,28976735,23248163,16983775,11906122,7963545,5066123,5060242,3065782,3065783,5060249,5060455,7948381,5061486,3066514,3066515,5061489,7957668,5072792,3075823,1794533,1794537,3075839,5053777,5072745,5072747,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832221,4701089,7439932,11212800,16140507,18822907,13410469,11882588,8003450,254239714,5387953,5387952,7839221,7940900,7940901,11878504,16966597,16966887,23238231,28906258,267769426,16973575,16973576,11940895,11940897,17026012,12126550,8158295,5229219,5229220,8158298,8001217,8001218,254103708,16984933,11899306,11899307,16984934,267745510,12363182,17529245,254383700,31368306,40048761,50068080,61546109,74322228,87925254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15527345, s2 = 15218110, dlinesl.size( ) = 2 s1 = 15527345, s2 = 15218110, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15527345, Dl.E( ) = 96, 4.48e-05 seconds used appending s1 = 11120036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14199191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14199191, s2 = 2059559, int(edited[s2]) = 0 s1 = 14199191, s2 = 2059559, d1 = 23, d2 = 20 Dl.O(d1) = 258471371,53716305,43203945,34116829,26252217,19534440,13987008,9608527,6311157,6311158,4725438,2847162,2847161,4501280,4501278,7147996,255047673,12515335,17694893 Dl.O(d2) = 257259723,34116827,43203944,257853903,53716302,53716301,65773706,58166488,58166490,63216624,51505965,51505964,51505959,51505948,41291161,41291151,41291150,32451115,32451114,41291174,51505962,58332841,71048535,84612435,90034187,90034186,104160909,95533776,81498521,68015328,268615984,35311079,35311080,44730423,55628387,68015332,81498527,95533785,109743152,123888385,128098119,120976780,106724556,106724555,120976779,134773403,134773401,134773402,147892227,140620708,140620709,147892228,134773405,134773406,127274932,113416442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14199191, s2 = 2059559, dlinesl.size( ) = 8 s1 = 950522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 54162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6493597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6493597, s2 = 1823920, int(edited[s2]) = 0 s1 = 6493597, s2 = 1823920, d1 = 23, d2 = 13 Dl.O(d1) = 255191962,2755314,1597250,1597249,2755313,4579671,7261723,254445319,254445317,9200158,13453069,18878290,17710221,15831251,10970922,7261749,4579693,4579694,7261751,7261921,4579806,4579804,7261918,256366319,29588320,38154624,37350633,28812120,28812121,37350636,29588460,22240304,22240305,29588463,38154831,48067593,50436454,40402306,31710131,31710132,40402309,269412097,59458444,48067704,48067490,38154693,29588341,29588340,38154689,47233938,47233937,58626631,59458426,59458427,72196137,72196250,59458597,50436451,40402302,40402303,48067612,51421497,269338703,268634263,22240223,255896553,38154681,256646170 Dl.O(d2) = 47713998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6493597, s2 = 1823920, dlinesl.size( ) = 26 s1 = 13403317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13403317, s2 = 13333180, int(edited[s2]) = 0 s1 = 13403317, s2 = 13333180, d1 = 47, d2 = 36 Dl.O(d1) = 49745568,39726212,31047353,31047355,23769609,23769608,31253866,31253835,23769591,17441572,17441573,23769597,31253848,39928996,49946483,61424325,61695785,50214014,40191895,31506484 Dl.O(d2) = 42886233,42886232,53350722,65353063,78656103,65352924,53350562,42886108,33842585,33842584,42886103,42886122,42886121,42886065,33842556,33842553,42886063,53350503,58739208,58739209,68058195,68058193,81545035,78656272,65353070,53350732,42886238,33842668,33842669,42886130,33842597,26022831,26022832,33842601,42886136,48301720,48301721,59688399,72423650,78656111,78656112,92718626,107058053,121355031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13403317, s2 = 13333180, dlinesl.size( ) = 2 s1 = 13403317, s2 = 13333180, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13403317, Dl.E( ) = 54, 1.6e-05 seconds used appending s1 = 13304515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13304515, s2 = 11108846, int(edited[s2]) = 0 s1 = 13304515, s2 = 11108846, d1 = 28, d2 = 23 Dl.O(d1) = 5605292,5605293,8621448,12691099,17913247,24295673,31810907,256556781,31810909,24295675,17913250,17913251,24295678,256556785,50541761,62033276,61818136,61818137,61818139,50334782,40308753,31620305,24114902 Dl.O(d2) = 38400880,47892459,47892458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13304515, s2 = 11108846, dlinesl.size( ) = 2 s1 = 13304515, s2 = 11108846, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13304515, Dl.E( ) = 38, 1.62e-05 seconds used appending s1 = 11157426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157426, s2 = 7831265, int(edited[s2]) = 0 s1 = 11157426, s2 = 7831265, d1 = 28, d2 = 15 Dl.O(d1) = 29150252,21842002,15772307,10924841,10924842,15772309,21842005,29150265,37710572,47632826,39965591,39965592,37880667,37880668,47804359,50237198,47632840,37710587,255430190,15772312,255865215,37710583,47632833,258714761,84493322,70929067,70929068,84493324,98414954,112404043,261087543,126266939,126266940,126266970,112404108,98414964,84493332,70929073,58211804,58211805,259287529,84493311,258036177,46843742,36964905,36964906,258036179,84493312,270285763,70929020,84493260,84493299,98414926,98414975,87131829,73513053,60763926,60763925,73513051,87131826,101130071,260681419,112404129,98414986,84493347,84493348,258081462,99080069,98414850,84493230,70929002,70929004,84493233,98414851,112404014,98414948,98414947,99563428,99631854,99631855,100901556,257090004,61775861,58702926,47313448,47313449,58702928,71434888,85008096,257089998,257090000,87757632,74153482,61373204,58702923,58702924,71434878,85008091,98933886,102165213,257090008,61775872,61775873,71608412,71608413,258282090,113082383,260143656,126935420,113082371,99095085,99095084,113082390,126935438,140283134,260742291,102254157,102254158,99807283,85854603,85854604,258283364,50348534,40322108,31633238,24126663 Dl.O(d2) = 358306,358176,358175,645480,1150646,2011985,3409814,5514088,5522932,3417769,2017842,2017841,2009906,2009909,3407136,5328790,5014471,4892709,4892706,7729180,254190726,3410782,2012676,1151079,645706,645705,267773391,254275073,5487771,3453339,2046333,1173355,658667,658663,659222,1109375,622582,346018,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2941262,1767603,1767604,2062026,2058538,2058510,2058511,2020853,2020854,3390078,1997552,1997553,1937555,1937553,2050829,2049316,1175286,1157652,1157651,2022886,3424098,5520073,5520070,3442757,3439490,3439492,3473893,2060760,1182629,1182631,2002552,3396942,3459117,5021832,3427075,3427076,3414421,3409821,3409820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157426, s2 = 7831265, dlinesl.size( ) = 2 s1 = 11157426, s2 = 7831265, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11157426, Dl.E( ) = 30, 1.5e-05 seconds used appending s1 = 14053196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053196, s2 = 8162418, int(edited[s2]) = 0 s1 = 14053196, s2 = 8162418, d1 = 26, d2 = 38 Dl.O(d1) = 746750,424373,424372,746749,1308043,2253807,3762131,5543948,3452798,3452797 Dl.O(d2) = 171904252,160720022,148457531,257831602,107127295,92780887,78713550,255289798,42936113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053196, s2 = 8162418, dlinesl.size( ) = 2 s1 = 14053196, s2 = 8162418, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14053196, Dl.E( ) = 56, 3.1e-05 seconds used appending s1 = 7850682, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6464247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6464247, s2 = 8396626, int(edited[s2]) = 0 s1 = 6464247, s2 = 8396626, d1 = 19, d2 = 37 Dl.O(d1) = 254797374,12232165,17362101,23156117,267986722,267846928 Dl.O(d2) = 95353191,81297172,67831429,55490205,44640279,35255809,27156782,20245106,14527295,9995912,9995911,9995913,6569460,4115380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6464247, s2 = 8396626, dlinesl.size( ) = 2 s1 = 6464247, s2 = 8396626, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6464247, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 957840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11003718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9124582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9124582, s2 = 14298533, int(edited[s2]) = 0 s1 = 9124582, s2 = 14298533, d1 = 145, d2 = 160 Dl.O(d1) = 254101325,305769,545907,969258,1705068,2940298,2940276,1705056,1705058,2940280,1998900,1998901,3391808,5502215,8500539,12539306,14177878,19793563,22830737,30222889,30222870,30222869,30222464,30222463,38805893,48726569,40058815,37821911,29256914,21936235,15848620,10983645,7270323,7270322,10983642,15848616,21936229,29256907,37821902,30222496,22830373,16609161,11584155,11584157,16609164,13641008,13641009,19105473,19105374,19105375,25738450,19105498,19105497,22830335,22830336,30222460,37821752,42518024,33518057,25738572,25738573,25738852,25738575,25738577,33518037,25738591,19105501,13641027,13641028,19105465,19105488,19105343,19105344,25738409,25739287,19106067,13641398,13640905,13640906,19105339,25738406,29256904,29256670,21936434,21936436,19105370,13640943,9341061,6118557,6118558,9341064,9341066,9341065,13640946,268303175,23174980,19105345,255683759,13641019,13641020,9341121,6118597,3828260,2293570,1330785,254207365,3828262,6118602,9341128,255278439,13641022,13640913,9341038,9341039,255278425,9341037,6118548,3828235,2293555,254148867,759921,759923,254148871,2293559,3828245,6118563,9341068,13640949,16910732,255278427,9341040,268029499,13640901,9341110,6118589,3828256,3828255,6118586,9341101,13640998,13640997,19105462,255683763,13640925,9341048,6118552,6118551,9341044,13640920 Dl.O(d2) = 261175561,113846392,260598680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9124582, s2 = 14298533, dlinesl.size( ) = 36 s1 = 961813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 961813, s2 = 7002172, int(edited[s2]) = 0 s1 = 961813, s2 = 7002172, d1 = 2, d2 = 53 Dl.O(d1) = 24301184 Dl.O(d2) = 261201068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 961813, s2 = 7002172, dlinesl.size( ) = 24 s1 = 16005101, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1614383, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14047742, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2652411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14497144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14497144, s2 = 6470253, int(edited[s2]) = 0 s1 = 14497144, s2 = 6470253, d1 = 0, d2 = 3 Dl.O(d1) = 19808032 Dl.O(d2) = 254888681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14497144, s2 = 6470253, dlinesl.size( ) = 2 s1 = 14497144, s2 = 6470253, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14497144, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 6640603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 973147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 973147, s2 = 6580893, int(edited[s2]) = 0 s1 = 973147, s2 = 6580893, d1 = 14, d2 = 22 Dl.O(d1) = 24616201 Dl.O(d2) = 256190577,258483507,81596932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 973147, s2 = 6580893, dlinesl.size( ) = 2 s1 = 973147, s2 = 6580893, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 973147, Dl.E( ) = 28, 1.19e-05 seconds used appending s1 = 973376, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13661139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6617600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6617600, s2 = 8405339, int(edited[s2]) = 0 s1 = 6617600, s2 = 8405339, d1 = 17, d2 = 26 Dl.O(d1) = 256589915 Dl.O(d2) = 95259540,81203612,259794565,123705273,123705295,123705294,113026813,113026814,126879810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6617600, s2 = 8405339, dlinesl.size( ) = 2 s1 = 6617600, s2 = 8405339, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6617600, Dl.E( ) = 36, 1.38e-05 seconds used appending s1 = 16203351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 716173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6530036, s2 = 9137457, int(edited[s2]) = 0 s1 = 6530036, s2 = 9137457, d1 = 53, d2 = 37 Dl.O(d1) = 255625793,24775141,271388188,268470589,41222071,257147820,76121140,269460348,104056822,259601652,137261699,123530794,109339035,109339033,95084509 Dl.O(d2) = 59851772,48461199,48461200,38548920,255923757,22613124,257545051,72589423,79088318,270554026,38548912,271167388,258384195,64105262,77252069,86404340,86186956,86186957,260020701,128066682,141432192,128066685,261198349,131424269,272261308,89398469,75637213,62692757,51063419,259578581,106734478,259020876,258394094,53123248,42672322,33643090,255657454,6148044,6148045,9384363,6999470,267962681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6530036, s2 = 9137457, dlinesl.size( ) = 2 s1 = 6530036, s2 = 9137457, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6530036, Dl.E( ) = 54, 3.29e-05 seconds used appending s1 = 7809155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7809155, s2 = 14039274, int(edited[s2]) = 0 s1 = 7809155, s2 = 14039274, d1 = 11, d2 = 13 Dl.O(d1) = 63003,115219,210628,382803,681480,1208470,2098899,1245635,1245636,254292095,254898977 Dl.O(d2) = 24849720,256601185,30463004,23054866,16808518,11753867,7847960,4981726,3009374,3009372,4981722,7847955,11753855,11756284,11756283,16812074,15069338,15069339,20981419,15226643,15226644,21189472,28411022,33117840,25382354,18797590,18797589,25382429,18797423,18797422,18797369,13390360,9154129,5990976,5990977,9154131,13390365,14357020,9864924,9864923,14357017,18797631,13390546,9154253,9154254,13390549,18797636,25382448,255258231,13390407,18797438,13390568,9154261,9154260,13390566,18797599,25382559,18797532,13390481,13390480,18797530,25382556,33118054,42066447,33118208,33118207,40088915,31408969,23918806,17577147,12405321,8384063,8384065,12405324,17577153,17913221,268112843,8373716,8373715,8379528,8380541,8404089,12434901,12435600,8404611,5423350,5423351,7679879,7787351,4937090,4859536,4859539,7679750,8375835,5405550,5405553,8375847,12394002,17382503,12402215,9205701,9205700,255170137,23769409,30683129,30683128,23308547,23308546,21934199,21934200,29255273,37751577,29190004,21877988,255266566,12169867,17291013,23603954,31088354,30726166,23308409,23308410,21130251,21130250,23308422,17456524,12306193,12306194,17456531,23787522,23717333,17393663,17393662,21129859,15181187,15181186,12400590,12400589,17572412,23914972,21300249,21300250,28521291,29256198,21935475,21935474,23894110,23089544,16835487,16835488,23089550,25493437,25493438,20898649,20898648,18888315,13460327,13460326,18888314,23723640,22343200,22343199,17572645,17572644,23915210,31218181,23734006,17409304,17402619,12264110,12264109,17402612,17402659,17404828,23728698,31213340,23729178,17405314,17405315,23705768,23701482,18981453,18981451,17401132,17401131,17410316,23735005,23720995,23720997,17618502,12436539,12436540,17618504,23968357,31193731,28333699,21121999,21121998,23728152,23728154,23734692,28149716,20971642,15061391,15061389,20971635,28149704,23724054,17400990,12262982,12262983,17400994,20971611,20971610,28149675,255819438,30499747,23086255,16833081,11771467,11771465,16833077,20971712,20971713,16833114,15061427,10465160,6898230,4330267,4330268,6898231,10465162,15174094,21122002,18953071,18953073,17236396,17236397,23544485,23882745,31379753,23917607,23917606,31191746,31191748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7809155, s2 = 14039274, dlinesl.size( ) = 16 s1 = 1989306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7949299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7949299, s2 = 13338608, int(edited[s2]) = 0 s1 = 7949299, s2 = 13338608, d1 = 1, d2 = 1 Dl.O(d1) = 5807308,254633973,13060007,18386378,24885261,32529434,36597065,28123740,28123741,26162453,19462264,19462265,26162456,34004196,41447117,34665446,34665445,29529935,25689147,25125232,25125233,32829901,31840176,31840179,27247590,27247589,35371865,35378202,44798393,35373597,35373596,41529630,32642065,24970800,18450898,13106937,8932935,5830583,5709789,3638258 Dl.O(d2) = 5807308,254633973,13060007,18386378,24885261,32529434,36597065,28123740,28123741,26162453,19462264,19462265,26162456,34004196,41447117,34665446,34665445,29529935,25689147,25125232,25125233,32829901,31840176,31840179,27247590,27247589,35371865,35378202,44798393,35373597,35373596,41529630,32642065,24970800,18450898,13106937,8932935,5830583,5709789,3638258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7949299, s2 = 13338608, dlinesl.size( ) = 2 s1 = 7949299, s2 = 13338608, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7949299, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 8132728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 985922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 985922, s2 = 7261154, int(edited[s2]) = 0 s1 = 985922, s2 = 7261154, d1 = 25, d2 = 39 Dl.O(d1) = 25004551 Dl.O(d2) = 264694849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 985922, s2 = 7261154, dlinesl.size( ) = 14 s1 = 11706248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13291623, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13361783, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1159219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1159219, s2 = 3144962, int(edited[s2]) = 0 s1 = 1159219, s2 = 3144962, d1 = 20, d2 = 62 Dl.O(d1) = 29576347,22228899,16094880,268084054,18543851,18543852,25089107,22320296,16175222,16175221,21091294,15150041,15150043,13176283,13175854,13175855,16175193,11242514,11242513,8981844,8981846,13176379,18544230 Dl.O(d2) = 11241775,16174311,22319260,256399651,38235775,48145771,59533097,72267170,85858874,99812144,260596981,141046589,153713746,165492558,263152457,193886534,200670526,193556527,185256944,175743580,165010066,153190471,140507151,127160238,113300502,99297071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1159219, s2 = 3144962, dlinesl.size( ) = 2 s1 = 1159219, s2 = 3144962, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1159219, Dl.E( ) = 64, 2.5e-05 seconds used appending s1 = 211905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 211905, s2 = 6489802, int(edited[s2]) = 0 s1 = 211905, s2 = 6489802, d1 = 30, d2 = 33 Dl.O(d1) = 5065035,7962154,11904499,16958881,23231607,25111505 Dl.O(d2) = 1950144,1114089,1114091,1950149,3065146,3065145,5059202,7954311,11894638,255139653,21544313,15527469,255411507,21544316,28812161,25069014,18527162,18527163,25069016,256616311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 211905, s2 = 6489802, dlinesl.size( ) = 18 s1 = 8215000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 991304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 991304, s2 = 2354218, int(edited[s2]) = 0 s1 = 991304, s2 = 2354218, d1 = 5, d2 = 13 Dl.O(d1) = 25138342 Dl.O(d2) = 63894980,77005616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 991304, s2 = 2354218, dlinesl.size( ) = 14 s1 = 992140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 992140, s2 = 11795586, int(edited[s2]) = 0 s1 = 992140, s2 = 11795586, d1 = 13, d2 = 10 Dl.O(d1) = 25163994 Dl.O(d2) = 5919596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 992140, s2 = 11795586, dlinesl.size( ) = 2 s1 = 992140, s2 = 11795586, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 992140, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 15203405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9731806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9731806, s2 = 9124253, int(edited[s2]) = 0 s1 = 9731806, s2 = 9124253, d1 = 72, d2 = 66 Dl.O(d1) = 273440969,271024495,254910269 Dl.O(d2) = 259676297,77899431,64710927,52797123,42397500,42397501,52797126,259471721,259471723,260686669,260969920,73581383,259471723,261534912,62824778,259585676,256583986,32229482,24632765,255222083,8768314,255222081,256583985,255668948,37145894,28631922,21393008,15408060,10650176,10650177,14459240,9947857,9947856,10705521,15481190,21485344,28347018,255467232,112267246,126126458,139501380,126126459,126126458,139501381,152232394,164119410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9731806, s2 = 9124253, dlinesl.size( ) = 52 s1 = 13298977, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6507179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16004553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13233477, s2 = 8126252, int(edited[s2]) = 0 s1 = 13233477, s2 = 8126252, d1 = 1, d2 = 20 Dl.O(d1) = 3716000,3716001,5942696,254912169 Dl.O(d2) = 50486357,40450000,40449999,50486356,50486361,269887181,40450003,40450002,257683259,74774960,64846010,52921145,52921146,61978624,74774961,88406614,102406904,116502113,272046052,130338886,261863871,143413412,260559752,140521213,258714616,85366544,85366543,258090722,113314606,99311094,85366173,85366174,99311096,99319630,268393582,71785172,71785170,71785171,85366192,85366176,71776386,71776385,85366174,99311096,99319630,268393582,255864982,99311098,85366175,71776386,71776385,85366174,99311096,99319630,268393582,59043282,254750800,29159517,21851101,15780269,15779797,10931077,10931079,15779802,21846673,21846672,21846691,21846690,29143386,21835680,21835682,15781217,14050541,14050544,10924644,10924642,15766874,10931454,10931452,268078344,29159353,37719244,39752156,39752152,39752151,49770632,49395975,39467529,30863578,30863577,39467527,49395973,39512235,30904118,23469598,17188984,17188983,23469596,17766163,12572216,8526331,8526333,12572220,16336560,11366455,7551486,4775535,2878278,2878279,4775542,4337746,2596895,1498075,1498076,2596918,2632203,2632202,4393029,6990864,10474515,10474513,15185310,21135034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13233477, s2 = 8126252, dlinesl.size( ) = 2 s1 = 13233477, s2 = 8126252, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13233477, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 16050918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11021836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021836, s2 = 14166242, int(edited[s2]) = 0 s1 = 11021836, s2 = 14166242, d1 = 6, d2 = 7 Dl.O(d1) = 47756136,59154787,59154789,59154790,65500534,53478268,53478269,65500535,78832099,92938628,105656929,91430473,77499314,75654863,75654864,89416409,103510042,93390516,93390517,79264268,65902023,53834951,53834949,43310232,43310231,53834947,65902020,64140060,52288047,41947430,33005269,25280348 Dl.O(d2) = 4976133,7839153,11741418,16792628,15865933,254121258,4591012,2762165,2762166,4591015,7279570,10978879,11741416,10764125,10764126,11341066,267751738,15843854,15843853,11741578,11741577,15839049,10975965,10975966,254099058,7503820,4743206,4743207,4767959,4767957,7537077,11341549,16299988,21956639,29281702,37849573,47772647,37850835,30609901,23190491,23190493,30609905,37832512,47754982,59153575,58702558,55256787,44409395,35034914,26954899,26954900,35034909,44409389,55256779,67598296,73076496,85081507,71876814,59138730,59138729,71876812,72358225,72358224,60532861,49132733,49132734,47393506,37485821,28943779,21664929,15629135,10815296,10815297,15629136,21664931,28943782,37485826,37485806,28943771,28943773,268628058,58780535,62409196,58702551,47312862,37403402,37403401,38214395,38214393,47393526,48236677,48236676,50400313,40365006,40365007,40723172,50827174,62409198,71424126,58691189,47300591,37391426,37391427,28851359,21579389,15555965,10759701,7109114,4475972,2692735,2692734,4481627,4501082,4501081,4501059,2704790,1567373,1567372,254227214,1567375,2704793,4501067,4480357,2691981,1559538,886677,254078036,2691973,4480366,7115952,10769995,254227222,7109215,4476105,4476104,7109212,7147887,7147886,10815114,10815112,15556418,15629411,10815605,7147713,4501080,254161168,891278,502931,281998,155687,155688,282002,254121135,1567399,2704851,4501180,7147851,10759960,15556288,15556392,15556328,10759992,10759993,10815336,254085574,2890625,2890624,2704715,2704714,4500929,7115562,4480095,2691773,1559390,1559391,2691775,4480100,7115569,10769492,13329508,15861765,15629196,15570003,10769505,10769504,15569999,21554785,22174385,21986608,15896894,11020253,10896272,10896273,15556365,10760027,10760026,15556361,11020112,7295704,7295705,10760058,10760059,11015303,11019955,15570023,15733089,255019902,7292234,7292235,11015512,7296507,4601939,4601940,4601951,3193860,1869490,1869488,2873169,2873167,4766133,4601622,2768709,2768708,2768163,1604883,912706,514971,514970,912690,1604862,1869531,1066486,599477,334022,183777,100713,100712,183766,334000,599441,1066420,1869402,2766932,1603999,912128,514615,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,4601583,4601582,7296041,4604267,4604266,7299604,11025266,254337368,10760299,10760298,8163113,7115660,4480160,2691810,2691811,4480163,4416023,2648611,1531218,1531220,2648615,4416028,7021797,10636806,15391228,255829499,23608957,17296504,17296503,15391237,15391238,21371705,21371752,21377260,28605792,21371714,21371716,28605789,28605788,28605747,21371679,15391221,255399425,17639960,12464205,8432912,254393836,3346862,254600463,12464211,17639972,23985788,31482590,25113299,21371731,15391254,10636821,10636822,15391256,21371735,17639962,12464206,12464207,17639964,21371748,28605831,37115297,37115296,31482606,31482605,40167438,47001209,47001210,58371533,258673039,61675472,50191660,40167421,31482596,31482597,40167423,50191664,61675476,74458579,88070720,98573547,98573548,112567213,102002300,88023084,88023085,102002302,102002305,88023091,74415396,61635550,61635551,61635544,50153218,40131702,40131701,50153225,61635557,74415405,88023105,102002320,112922058,98932475,85006422,71432700,58700113,47309943,47309942,47323363,37414787,28873127,254505174,28859184,21585686,21585689,28859194,37400472,37400502,37400500,42184245,42184248,255160250,47323329,47323328,47822832,255548148,52416812,42072974,33123794,25387658,25387657,33123791,42072969,52416810,52680726,42294146,42294145,49871525,61353312,53852586,43328292,34229963,27284836,27284835,256768025,30679508,23262902,16999518,11913380,11913381,16999521,23262906,30679513,39276424,43014893,52769637,64683923,77873491,74292856,61515170,53919176,46851715,36972989,36972988,46851712,42978982,33925553,33925555,42630728,42979008,33925580,26120785,26120783,33958091,43014888,47064361,39276445,39276444,37172332,28654678,21411578,15422865,10661796,10661797,15422871,21411590,18723198,13328547,13328546,18723194,25297603,33023897,258207169,86960827,100944664,114998805,128900689,142251945,154885512,166585454,177158650,186506526,194653686,264259947,212343131,265021545,222344691,224721420,226784881,228584717,230167309,231572406,266245413,233971466,235009610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021836, s2 = 14166242, dlinesl.size( ) = 2 s1 = 11021836, s2 = 14166242, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11021836, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 8213204, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14869323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7878877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7878877, s2 = 8583620, int(edited[s2]) = 0 s1 = 7878877, s2 = 8583620, d1 = 41, d2 = 48 Dl.O(d1) = 13351059,9123326,254916213,18752023 Dl.O(d2) = 142176292,128821756,114924644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7878877, s2 = 8583620, dlinesl.size( ) = 36 s1 = 11076466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1965208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1000430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1656635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14624183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14624183, s2 = 9159709, int(edited[s2]) = 0 s1 = 14624183, s2 = 9159709, d1 = 17, d2 = 13 Dl.O(d1) = 2658006,2658007,4428607,7038245,10658022,15418058,21405662,28647644,37164170,255101158,30542627,23124226,21203326,15901461,11023840,7298610,5574143,3457820,2049946,1175662,659974,365796,365800,659996,1175707,2050022,3457954,5246370,5246369,8176707,8176718,12146865,17267437,15663703,15663701,21705133,26387681,19653230,16565232,11547137,11547138,14196825,14196823,17267334,23550702,17242616,17242614,23550696,28899196,30818805,29215064,22781140,16565634,16565635,14213142,9770855,9770854,10847695,10847697,8179463,8179462,12125074,8156315,8156316,11441090,14036880,14036941,17242452,16657510,11625073,8579936,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,21204041,19142990,17841270,12634078,12634077,12637718,17846093,19819852,14197274,14197273,15975765,11090164,11090162,15975757,18292772,24771946,32394598,33332317,33332318,27957315,24984992,18462696,13115909,13115908,11318504,11318503,14095248,17766132,24129467,24130587,20843343,14943574,10278145,6754905,4232806,4232808,5029659,5029662,6932469,10512873,15239728,21205982,28429813,36928510,46806900,46806901,58174367,58174368,58174369,70888620,84445793,98355395,98355400,84445795,84445794,98355398,112338164,112338162,112338163,126198667,119761835,105528363,271530541,270510747,77391538,91310489,105528364,91310490,77391539,64240705,52384724,52384725,64240706,77391541,64240708,257191091,33092648,33092647,25359414,18776933,18776932,25359412,33092650,42040718,52384728,64240712,52384729,42040719,33092652,33092653,42040722,42040723,33092655,25359416,18776936,13372461,9139561,5980857,5980856,3739930,3739931,2239023,1298394,1298392,1298393,2239020,3739929,5980854,9139559,255135325,23161938,23161939,30579191,256039347,17796518,12597006,8547874,5546220,5546219,8547871,12596999,17796504,24164319,31673945,40368544 Dl.O(d2) = 74688065,88315552,102310954,116402942,130239169,143566458,147906122,134787390,134787389,134787393,120990656,106737694,106737693,120990655,134787392,147906123,160155158,171374994,181396767,190199115,197799391,204275477,201895604,194970514,186878480,177591225,167085601,155445658,142863274,129544516,129544515,115658246,101617465,87650651,257409468,49788503,256830132,61897921,61897922,74691585,85143987,85143985,74309963,61532573,61532572,74309959,87913766,86920257,84777171,72419325,70387041,57693240,46344701,46344700,57693237,70387038,71208282,71208283,258078390,76941304,63834022,63834021,259630249,112701219,98705403,258670542,47108637,47108638,58486711,71208397,71208442,58486749,47108667,47108666,47108668,58486750,71208244,257436082,37211769,47108532,37211849,28687426,21437291,15442498,10676245,7051800,4438670,4438669,7051797,10676238,255404143,28687375,37211781,47108548,58486585,71208272,84777165,98705300,88443155,259297228,84777153,88443195,84629759,71066371,71066370,74810765,74810782,84626157,98470621,84548608,84548607,84548609,269410796,84861844,71287303,71287302,84861841,258692204,62014338,257520842,40486860,50522524,62014343,50522574,40486894,31791760,24278010,17897605,17897606,24278013,31791764,40486877,31791753,31791751,40486870,50522543,62014372,61879176,61879177,74671309,77615620,74760624,61960593,61879173,61879174,256545116,61844997,74637241,88267272,74810761,62014396,50522571,50522570,50464700,40426991,31732866,24224354,24224355,256550621,50464704,61960594,257078456,46716557,58088233,67787068,67828817,55487677,257923851,81294610,259800031,123791030,262650380,106675439,92371416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14624183, s2 = 9159709, dlinesl.size( ) = 8 s1 = 16053538, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 363479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 363479, s2 = 6438600, int(edited[s2]) = 0 s1 = 363479, s2 = 6438600, d1 = 12, d2 = 7 Dl.O(d1) = 9141462,5982098,5982097,9141460,13374880,18779543 Dl.O(d2) = 254421653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 363479, s2 = 6438600, dlinesl.size( ) = 2 s1 = 363479, s2 = 6438600, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 363479, Dl.E( ) = 36, 2.88e-05 seconds used appending s1 = 1002065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9768314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 364820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 364820, s2 = 9383765, int(edited[s2]) = 0 s1 = 364820, s2 = 9383765, d1 = 75, d2 = 76 Dl.O(d1) = 9175674,254920565,18835782,25429688,257196875,33762650,33762649,42794092 Dl.O(d2) = 16563850,11624502,7742802,4902924,2955064,1713526,1713527,1713815,973828,548268,306920,306919,548262,973813,1713773,1710790,972310,547545,306594,306595,547528,972279,832543,469484,469486,305246,305247,305028,305027,544408,954746,538363,538365,954753,1678080,1677933,954683,538340,301825,301827,538346,954700,1677875,1677871,2890708,4795491,4864879,4864880,7688020,11409887,7581892,4795594,2892485,1713441,1713438,2445470,2947140,1709232,1709234,2947144,4890597,7697232,4892893,2948623,2948624,2957040,4906142,7599187,11430537,10348852,6813937,4807250,2897303,1681199,956228,956230,1681245,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584688,4815331,4815334,4815303,4815301,4891199,7727325,11442234,7608791,7608790,7612687,7612685,7603685,4810525,2899234,2899235,2899222,2899225,4810507,4810475,4810474,7603680,4810403,4810402,4815496,4813169,2902500,2902497,4816389,7612829,11447021,8472384,5476496,5476498,7738053,11619445,13345825,11454195,8472378,8472379,11614131,7733657,5828239,5828240,8929614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 364820, s2 = 9383765, dlinesl.size( ) = 2 s1 = 364820, s2 = 9383765, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 364820, Dl.E( ) = 88, 3.1e-05 seconds used appending s1 = 15301891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15301891, s2 = 1006428, int(edited[s2]) = 0 s1 = 15301891, s2 = 1006428, d1 = 1, d2 = 1 Dl.O(d1) = 219716257,216458855,274115795,207727224,201900655,194976186,186885421,262798559,155457942,142876363,129557818,129557819,129557816,115671510,101630446,87662936,74058949,61279317,49801014,256502893,23618563,17304527,17304526,13435883,13435882,18857747,25456897,33204005,42164056 Dl.O(d2) = 219716257,216458855,274115795,207727224,201900655,194976186,186885421,262798559,155457942,142876363,129557818,129557819,129557816,115671510,101630446,87662936,74058949,61279317,49801014,256502893,23618563,17304527,17304526,13435883,13435882,18857747,25456897,33204005,42164056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15301891, s2 = 1006428, dlinesl.size( ) = 2 s1 = 15301891, s2 = 1006428, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15301891, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14556897, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11016366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016366, s2 = 7589245, int(edited[s2]) = 0 s1 = 11016366, s2 = 7589245, d1 = 7, d2 = 16 Dl.O(d1) = 47832330 Dl.O(d2) = 268638477,48254180,59640807,71514488,73587839,257659226,49436653,60838220,257215284,58784391,58784389,47396347,37487989,37487988,257466471,71514488,85086952,73365178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016366, s2 = 7589245, dlinesl.size( ) = 2 s1 = 11016366, s2 = 7589245, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11016366, Dl.E( ) = 94, 6.2e-05 seconds used appending s1 = 743836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11047458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7940089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7940089, s2 = 11363330, int(edited[s2]) = 0 s1 = 7940089, s2 = 11363330, d1 = 56, d2 = 69 Dl.O(d1) = 17165038,254829099,8115619,12068831,17165039,23439107,30867628,25560212 Dl.O(d2) = 259797112,81070817,86312554,86312553,86312555,100273927,114303703,261753371,165963333,272902472,186028142,194239983,201273850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7940089, s2 = 11363330, dlinesl.size( ) = 18 s1 = 15434305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15434305, s2 = 15433910, int(edited[s2]) = 0 s1 = 15434305, s2 = 15433910, d1 = 9, d2 = 7 Dl.O(d1) = 52362198,44597654,35216804,30001364,29797037,22430624,22430625,29797040,38369757,48281164,49751795,40184085,40184084,50206687,257566116,50207753,256122032,256050366,25349082,33078468,255657313,13363336,13363337,18766558,25347944,33078472,42022459,40184726,38545899,38545898,48458130,269205242,48221248,38311400,38311401,38460429,48361913,51097955 Dl.O(d2) = 61689993,50208136,50208134,50207634,40185356,35217138,256755675,55446552,44596552,44596553,47864937,47864938,256003594,35215610,35215609,44596487,254817890,39052857,30463244,30463245,255387218,33475385,33475386,42468898,50206431,61689028,62030412,62030411,61689274,255614628,33077495,33077497,42021375,52360295,58743640,58743639,57994083,46617966,46617967,49813447,52360659,52360658,52705651,42318458,33338036,25578709,18970407,13535177,9264982,9264981,8966567,8966568,11724702,15117680,10427450,6874859,6874860,10427439,15117660,21046899,28246898,36742791,36928335,39725556,36742862,28246951,28246948,36742856,46630672,58005722,53937752,43410789,34309485,26431534,22724483,16519258,16519257,22724481,30105838,26115470,26115469,33952317,43009135,38682653,30105839,30105840,255936172,30157326,22769043,22769042,30157325,38739912,48661288,60057935,72796493,77268132,77268133,91187523,105409701,119646776,112893643,107089384,258095798,114058815,100031805,86068411,72469656,59733828,48349651,48349652,59733832,72469661,258158836,100031809,259407928,141298827,153969904,149149476,135925634,121998606,107624708,93221763,79105356,65749472,65749473,79105357,86453037,100410077,93221761,93221762,107624706,121998605,135925633,149149475,153568921,140894687,127539442,113667959,99654711,85706654,72121581,59390406,48001928,38090402,38090401,47275757,37365757,28825539,21554828,15534589,15534591,20202932,18059279,18059278,20202139,17040378,17040379,23300608,30718032,35190712,35190713,268125522,14496678,9974847,9974673,6555703,4106926,4106928,6555706,268014056,6555869,4107864,2457164,1420402,808042,808041,1420398,2456339,4106535,6555085,9973853,9974039,9973854,6555711,6555712,9974682,14495371,14495372,9974025,6555686,4106911,2456562,2456561,267818083,2456403,2456590,1420066,807840,457764,258079,143022,78472,78473,143024,258060,143014,143013,258055,457724,807770,1419933,2456356,4106558,4106880,6555178,6555179,9973800,6555037,6555035,267872185,254215653,1419994,1419979,807795,807796,1419983,1420421,808051,457887,258142,258141,457885,808049,1420417,2457180,4107888,6555055,4106513,4106512,6555052,9973811,6555910,6555578,4106841,2456503,2456502,2456536,1420031,807818,807819,1420033,2456538,1420059,1420060,1420107,807865,457778,457777,807862,1420103,2456665,4107022,4107045,6555355,4106718,2456582,2456583,4106944,6555726,9974693,9974893,9974895,14495861,9976596,6557131,254317721,2457173,4106584,4106583,6555159,9973956,14495370,9974195,6555334,6555223,4106630,4106629,6555219,4106888,4106889,4106599,2456375,2456372,4106592,6555172,9973970,9974684,9973856,6555421,6555422,6555626,6555624,9974205,6555348,6555347,6555620,6555621,6555925,4107079,2456659,2456658,4107076,6555920,9974968,9974532,6555586,4106848,4106849,6555587,9974537,14496286,14495512,9973905,6555127,4106569,2456361,2456362,4106572,6555131,9973912,12516734,12516733,14495559,9973945,6555152,4106581,4106582,6555156,6555139,254693577,14495536,20201664,14495860,9974211,9974199,9974200,9973926,9973927,9974663,9974659,9974658,9974207,9974208,9974964,6555914,4107073,4107074,6555612,9974563,9974965,14496820,20203159,20201572,20201570,27101324,35190224,27101426,20201644,20201645,27101428,27101476,27101365,20201607,14495485,9973891,6555118,4106562,4106563,6555120,9973894,14495492,14495539,20201578,27101267,20201523,14495424,14495423,20201519,14495848,14495850,20201966,20201443,20201444,14496320,14495596,9973992,6555191,254693585,14495600,20201713,27101493,35190396,44568388,40241107,31554925,24050621,24050620,268684897,35190371,35190252,27103032,20203150,14496816,14496817,20203151,20201707,14495593,14495592,20201705,27101487,35190389,44568489,44569545,35191417,27102488,24050622,268445107,35191255,35191254,35190324,35190325,27101470,20201690,20201691,27101472,27101692,256228075,44568393,40928534,32151064,27101331,27101332,29527344,27102486,20202662,20202661,27102482,32826400,25122330,25122331,29561186,29561185,35190215,27101319,20201566,14495460,14495461,20201569,27101322,35190221,44568320,35190619,34627388,34627387,32151069,32151070,40928540,35190236,27101348,20201588,20201587,27101346,268829881,55415491,55415817,55415645,44568507,44568506,38090904,38090903,35191240,27102325,256753551,54642722,66900082,55415648,44568317,44568318,35191257,27102342,20202563,19825481,14201496,14201494,19825474,26637522,24567664,18127422,18127423,24567668,27102817,35191474,35190328,35190329,35191414,35191413,41123500,51306184,55416846,54642704,54642705,44568406,35190249,27101360,27101359,35190247,44568401,35190350,34627393,26637531,19825482,19825483,256200917,35190609,35190608,44568759,55416050,55416634,44569371,44569370,44477129,44477130,48001811,50402267,51069037,40928536,40928537,255330210,67756898,55416771,44569544,44568397,44568396,44569617,35191482,35191483,44569619,43899680,34627397,26637539,19825487,14201499,14201500,19825490,26637546,34627407,43899692,54642727,54642728,66900085,80327558,80327559,74686380,61892846,50402272,40366829,31672081,255745882,256746212,44569622,44569621,55416852,59390234,50402258,40366815,3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Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14484611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14484611, s2 = 8097770, int(edited[s2]) = 0 s1 = 14484611, s2 = 8097770, d1 = 52, d2 = 58 Dl.O(d1) = 254459462,3799971,3799973,6073195,6077596,6095508,6096237 Dl.O(d2) = 260219734,76155777,269045646,268471384,53004735,51447724,51447725,52768766,42369734,42369735,52768768,64683051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14484611, s2 = 8097770, dlinesl.size( ) = 30 s1 = 14025813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025813, s2 = 14248124, int(edited[s2]) = 0 s1 = 14025813, s2 = 14248124, d1 = 2, d2 = 7 Dl.O(d1) = 2341362,2341361,2342602,2342603,3912962,6250191,9527789,13885557,19408487,26097632,33931032,39816713,31134140,23646374,23646375,23742481,31225850,23742823,17418116,17418115,23742819,30501014,39097067,39902680,39902679,47912217,37996327,37996326,30506437,23091721,23091719,30506432,255960466,39902782,49922425,48427503,256461138,22591029,29955037,38519873,48427506,59813514,72548747,257932402,95623063,95623064,257932404,95097368,95097366,109352235,123544645,109794690,109794691,123544633,271184052,95097344,109352220,100113028,100113027,94378406,269173486,54637999,48304641,38394158,38394159,48304642,57623533,54638181,43895232,43895233,54638185,59306170,59876763,59306240,47912000,47912001,59306245,52821005,42419355,33428528,33428529,42419361,37995990,35075957,26991647,26991648,35075961,44450824,55295378,63836020,53023809,53023808,61350434,55295387,55295385,61724148,50245213,50245214,53023271,42583022,33565904,25776323,25776324,33565909,42583027,33565916,25776328,25776329,33565921,42583054,53023301,53025274,53025275,64998539,78271954,64998403,64998402,73433610,61350391,61350392,64998142,64998141,64998376,78271932,64999526,53024805,53024804,64999523,60685755,49284612,49284613,42585860,42582535,33565415,26658881,26658880,34650172,43923391,49119525,39191441,39191440,33565510,31338618,31338621,33568966,40017708,32793705,25094618,18547915,18547917,25094623,25094629,32793709,41709910,41709933,41709928,41710023,47912100,47911898,37995937,37995938,29433550,29433551,29433605,29433604,33352271,29433520,22101224,18547994,18547957,13178850,13178852,18547962,25094711,22101275,22101273,25094793,25094727,18547977,13178864,13178863,18547974,25094724,29433535,29433534,255338660,33616612,33616613,42643662,34276184,26401199,19667112,19667117,21087905,15147657,15147658,21087911,24792588,24792589,32418607,31761717,28952715,22631970,16444794,16444792,21858387,15786244,10936320,10936318,15786237,13178525,12571216,12571218,16287897,11330837,11330836,16287892,19170614,21458975,27967397,20804724,20804722,27967391,36426120,31059590,23575947,17264513,12144145,8173850,8173849,8396109,7407765,7407766,254661056,22209143,19470497,13935175,9565597,9565596,254449840,13903123,19170111,13689507,9375214,6141711,3842863,3842861,6141707,6136843,3839396,3839392,3839472,3839476,6136965,3984617,3984616,6350638,9369705,6350650,6350649,9377626,9377625,254657508,14681868,19040555 Dl.O(d2) = 19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358842,43488683,51842520,41557605,41557608,34341308,26455915,19711953,14132937,14132942,19711936,26455643,26455646,34340776,43455997,54005066,43657908,34458628,26519325,26519327,34449828,34449831,43488626,34358843,34358847,43488695,41557207,32665616,32665619,39546784,30931300,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,26743935,26743938,34769779,34796396,26769373,26769370,26770069,19922166,14269040,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34358610,26464744,19716372,19716369,26464772,34358677,43488301,54055657,66165790,75501373,89254590,94011892,90613482,257372874,73909597,61137530,49674417,49674420,45648762,35977294,27661916,20601259,20601257,19953465,19953469,19955002,14289169,9832495,6458839,4048007,4047983,2423372,2423367,4047996,2423610,2423604,4048792,4043524,4043521,6449048,9814254,14283500,267750048,12858257,12740046,8657498,8657499,6422829,4029297,267734794,795249,795252,254070360,457444,257886,142893,142894,257891,457454,807334,1419206,1403672,798817,452785,255230,255231,452787,798821,1403679,2426523,4054162,6469872,9850101,9196182,6020646,3766421,3766420,6020641,9196177,6023153,6023152,8986149,6415607,4025039,2412079,2412081,4025041,6415612,9757152,6730372,6730373,8990501,8986367,8986368,13182918,18553112,19773398,14897859,14199902,9761289,6417939,6417938,4440921,2667370,2667368,4440917,6022660,6022661,9198777,6515051,4082156,4082157,6515053,9913715,254201874,13189002,8990926,5870080,3665307,3665308,5870084,8990939,5874319,5874318,8997696,13194231,8994667,8994666,13186844,18558141,13199334,8997922,254299410,13199341,9183535,9183536,8993285,5871522,3666149,2194346,2194345,2230854,2230855,3725939,5875246,8997679,8982690,5864446,5864445,5871932,5868778,3725987,3725986,5957964,9105433,254295334,9105446,9105449,13326263,13326261,9902245,6508532,4078601,4078599,6508527,9000070,5875843,5874801,5874800,8998498,8997897,8997896,5874486,3668003,2195691,1275624,729720,729719,1275619,2195682,2195717,3668051,3668091,5874608,8997746,5875290,254201960,3668446,5874346,8997753,8999324,8999322,13200925,14163267,18554944,13184361,8987409,8987410,8998009,5874500,5874501,5875013,5875012,6426040,8801056,8801055,5871546,3666164,2194364,1274609,1274610,2194369,3664971,2193460,1273808,728256,728255,1273806,1275704,729759,415570,415567,729752,1275695,2195852,3668335,5869474,3664904,2193424,2193423,3664899,5869463,8989981,5869479,5869480,5875268,5875269,6020709,6020708,8998471,8998563,5874853,3668221,2195793,2195794,3668224,5874860,5957982,3725996,3725994,5957980,8999084,13200725,18557989,13186667,13186668,18557990,19135445,19135444,25472298,18871902,18871903,20784611,18575594,18575593,25128054,23813653,18834560,18834561,17254645,17254646,18834460,18830500,13416288,13416289,18827779,21010672,15090251,10407750,10407752,15090253,13414420,9171887,9171886,13414417,18827732,25419706,25419389,18827466,13414196,13414198,18827472,22833377,22833378,22981836,17479658,12324106,8324842,5372435,5372433,8324833,12324093,9173106,9173105,13412894,16842366,13416292,13416293,18830505,25423537,33166131,256125238,64347759,77513320,91443182,259027772,260272142,159401093,170748654,180887684,189781215,197448364,203975579,209420241,213888031,217556320,220618140,223222749,225475110,227434326,229148529,265929138,229684554,228054608,226197503,224064496,221605149,218741672,215349927,211245313,206221678,200145957,192950663,184562381,174955975,164134709,152247798,139516263,261080373,98300595,84392020,70834973,258028689,46751935,36872783,28376109,259280017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025813, s2 = 14248124, dlinesl.size( ) = 2 s1 = 14025813, s2 = 14248124, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14025813, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 9439486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9439486, s2 = 1851818, int(edited[s2]) = 0 s1 = 9439486, s2 = 1851818, d1 = 17, d2 = 13 Dl.O(d1) = 6179547,9430104,268013722,255221279,24606379,32194766,40974738,256146527,19072016,13615684,13615683,19072014,25697660,33470856,42464284,52868137,64786978,259053797,91905093,106100085,120300425,261457787,125621129,111806578,97874119,84005386,70471765,257445186,46418539,57772340,258630263,258879770,87590522 Dl.O(d2) = 29704145,38270216,48179377,59565488,72299668,85892353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9439486, s2 = 1851818, dlinesl.size( ) = 8 s1 = 7990535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7990535, s2 = 13205953, int(edited[s2]) = 0 s1 = 7990535, s2 = 13205953, d1 = 12, d2 = 8 Dl.O(d1) = 25710030,19082931,13624345,9329315,9329316,13624348,17822175,17822174,268448763,19584300,19584301,24191332,31699546,36870915,257418931,33585255,25789670,25789669,27213331,20284832,14554897,10015023,10015022,14554892,19072568,19072569,21283405,15319981,10581374,6980431,4385956,4385957,6980433,10581380,15319991,21283420,25698684,19072963,13616369,13616366,19009098,13566888,12654559,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,9360891,6131482,6131478,9360899,13669697,15707245,10873473,10873470,15707234,15707256,15707255,12655905,8592491,5583019,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,17866272,24242124,24616343,18166309,12883185,12883186,18166311,18835080,13419746,9175457,9175458,13419748,18147285,12868351,8751376,8751377,12868402,9713854,9713857,9281163,6079610,3804142,3804137,6079571,9281064,13556429,13122987,8944442,8944438,13122968,14652300,20416307,18300912,12990331,8843447,5763324,5763326,8843226,5763205,3589709,2140187,1235854,1235857,2140197,3589729,5705229,3550379,2114499,2114500,3550385,5705241,8762112,6005525,3755838,3755839,2249502,2249500,3545206,3545201,5697760,8751356,12868360 Dl.O(d2) = 9713627,12883049,9713521,9713524,14118441,18147474,24593582,18835196,18835198,25428936,254903434,51134483,40989379,268463353,24616341,32206841,27120928,20217599,14507765,9982944,9982945,14507767,20217600,27120930,35213304,44594005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7990535, s2 = 13205953, dlinesl.size( ) = 10 s1 = 9121940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8084692, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1681462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1681462, s2 = 11132561, int(edited[s2]) = 0 s1 = 1681462, s2 = 11132561, d1 = 31, d2 = 43 Dl.O(d1) = 42623719,33599167,25802205 Dl.O(d2) = 106669651,120922085,134720278,272723627,171326593,263367721,262955582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1681462, s2 = 11132561, dlinesl.size( ) = 2 s1 = 1681462, s2 = 11132561, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1681462, Dl.E( ) = 44, 1.22e-05 seconds used appending s1 = 13401539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13401539, s2 = 506708, int(edited[s2]) = 0 s1 = 13401539, s2 = 506708, d1 = 22, d2 = 26 Dl.O(d1) = 41777014,41777013,46868840,41564080,38176326,38174660,29607699,24994587,20206574,17019996,268040472,9977165,9977164,14499590,20206597,27107014,31848004,31848003,32670782,24994591,24994592,25142942,25142943,32849355,32206456,24616074,18166130,12883075,8762179,5705270,5705272,8762183,12165126,17285923,23598301 Dl.O(d2) = 12890903,18177073,24631372,32227545,41018489,51173242,257076388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13401539, s2 = 506708, dlinesl.size( ) = 2 s1 = 13401539, s2 = 506708, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13401539, Dl.E( ) = 28, 1.48e-05 seconds used appending s1 = 1366519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13180841, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15625024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6577922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 756224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 756224, s2 = 105403, int(edited[s2]) = 0 s1 = 756224, s2 = 105403, d1 = 11, d2 = 3 Dl.O(d1) = 19242217 Dl.O(d2) = 2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,1342032,766329,766333,1342000,2313446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 756224, s2 = 105403, dlinesl.size( ) = 10 s1 = 6577844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 555233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15198068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15198068, s2 = 8598457, int(edited[s2]) = 0 s1 = 15198068, s2 = 8598457, d1 = 12, d2 = 11 Dl.O(d1) = 50412902,40378338,31684663,255587599,12606909,8555904,5552842,3437298,2033369,2033368,3437295,3741768,3741773,5983964,7609675,7696610,11563970,16403142,11419438,11419437,268081591,7329521,7329523,4897126,4897128,7583707,7583708,11412062,11630135,11427984,11114272,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,538946,302090,167266,167267,302095,538918,956053,1680872,2896694,2896755,1680904,956066,956068,1680912,2896771,4806430,4900997,4802169,4801607,2894185,2894183,4801758,4811066,4811064,4900162,4900164,7739197,11620755,15022079,15022078,11411682,7583341,4796563,4796562,2891982,2891980,4797874,4797762,4274191,4274192,4274513,4274512,4905489,7746453,7683272,7683273,7728133,7728202,11608371,9954717,7598799,7598798,11430093,11442662,7609114,7585819,7585818,11414623,16398138,22580673,16433706,11448801,11448799,16433703,16432434,11447460,7613195,4816686,2902741,2902742,4816690,254787357,7593979,7593978,4811095,2899532,2899533,2957441,2957440,4906736,7748020,7585359,7585360,7608927,7608928,7596112,4891817,2947925,1709648,971767,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,3535925,4033707,5684217,5683447,3535461,2104383,2104379,3535450,5683421,8729900,12837834,18105248,24176234,31684665,40378339,40378343,50412908,61903389,74696990,259534923,116412774,116412775,261317477,118608572,259612389,258358361,51657602,41416125,32557188,24906630,18402468,13071169,13071172,9444919,9444918,13776627,19273395 Dl.O(d2) = 33743014,42773353,271393008,92545636,106864432,106864434,106864433,121132512,134942773,148066776,160311869,162528948,150398689,137357505,123625349,109431886,258403434,55311368,55311367,55309541,55309542,258530709,259787517,123623225,137355492,150396826,260992113,109429390,259159897,259159899,271658617,162526911,262253526,123622443,137354742,260994148,130589312,259162264,88656507,75008741,257912912,55311189,44465271,268549249,20112906,254976227,6521327,254976229,20112907,256219813,257310783,67650599,81117189,260400613,123622435,109428733,259159829,81114147,81114148,259787421,123622437,137354733,262085275,260994148,130589312,259162264,88656507,75008741,257912912,67650388,55310982,44465098,35088790,256745173,55310983,67650390,81116974,95173480,95175511,81117133,81117134,95175513,109431624,102664640,257912910,269638092,259162262,95173488,81115200,81115199,81116488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15198068, s2 = 8598457, dlinesl.size( ) = 8 s1 = 7891258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15467315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15467315, s2 = 9842890, int(edited[s2]) = 0 s1 = 15467315, s2 = 9842890, d1 = 1, d2 = 1 Dl.O(d1) = 86143193,72544926,59809883,48424048,38516723,268409199,16405810,22588340,29952116,38516737,29971410,22606340,16423317,16423320,22606341,26397589,34272801,43371671,53328117,42866687,33825630,26008105,19334424,254945443,6351081,3984917,2388286,2388287,3984919,6351086,9475656,9701851,6381101,6381105,9402439,9470699,9469313,6366804,3994992,2394119,1385492,1385497,2394094,2394120,1385492,1385497,2394094,2394120,1385492,1385497,2394094,3994755,3886692,3886697,4003027,6380436,9700964,14103941,255718905,34284456,43383259,45682091,35999494,27675743,20609589,20601071,20601070,20390855,14634360,10067152,6613311,6613310,6676694,10162117,14776001,20602223,24561725,32144306,40547239,40547237,50583040,258300859,88508961,102516960,116620766,113761982,99747715,85794069,72200246,59462728,48072055,38159347,29592948,22244242,16107460,11188319,7423669,4691180,4691181,7423666,11188315,16107453,22244232,256393315,38159327,33799484,25986109,19316657,13812404,13812403,14059529,9669164,6359392,6300922,3948161,2364181,2364184,3881423,2402046,1389901,1389904,2402057,2334366,1367789,779069,441961,441964,771652,438387,438383,442013,779271,1368474,2363482,2394888,3996373,3996368,2394883,2394881,254457045,2333837,2333838,254457047,255699797,33846090,257243437,65357300,78660695,259711399,121358836,135209397,148378492,160643706,171833736,181800515,190537361,198079144,204504913,273774630,264030458,209862700,264086511,190537359,181800513,263382117,198079141,204504910,274053767,181754854,171777907,160576613,160576612,262433814,273429170,204475279,264334638,263689912,171777910,261395852,135125274,121271099,106973879,92635629,78577612,257159168,42835444,33799483,25986108,25986107,33799480,42835441,53290530,257746668,92635628,106973877,121271096,135125272,148301615,160576609,272964248,190499023,263313838,181754852,262896368,262433812,160576606,160576605,171777899,181754850,190499020,273913708,264334636,217840243,214231108,209836586,263689910,190499017,263313836,204475268,209836588,274136366,223427908,265076994,220856538,265461682,223427905,264854150,217840245,214231113,264030456,264651767,264854154,273913710,204475274,263313842,273614032,263401368,260344394,93142212,270056886,65673504,53625203,43124107,34048374,26193923,19484609,13943669,9570562,9291436,6086572,3808415,254206257,429007,242147,134550,73126,73127,73399,39723,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724 Dl.O(d2) = 86143193,72544926,59809883,48424048,38516723,268409199,16405810,22588340,29952116,38516737,29971410,22606340,16423317,16423320,22606341,26397589,34272801,43371671,53328117,42866687,33825630,26008105,19334424,254945443,6351081,3984917,2388286,2388287,3984919,6351086,9475656,9701851,6381101,6381105,9402439,9470699,9469313,6366804,3994992,2394119,1385492,1385497,2394094,2394120,1385492,1385497,2394094,2394120,1385492,1385497,2394094,3994755,3886692,3886697,4003027,6380436,9700964,14103941,255718905,34284456,43383259,45682091,35999494,27675743,20609589,20601071,20601070,20390855,14634360,10067152,6613311,6613310,6676694,10162117,14776001,20602223,24561725,32144306,40547239,40547237,50583040,258300859,88508961,102516960,116620766,113761982,99747715,85794069,72200246,59462728,48072055,38159347,29592948,22244242,16107460,11188319,7423669,4691180,4691181,7423666,11188315,16107453,22244232,256393315,38159327,33799484,25986109,19316657,13812404,13812403,14059529,9669164,6359392,6300922,3948161,2364181,2364184,3881423,2402046,1389901,1389904,2402057,2334366,1367789,779069,441961,441964,771652,438387,438383,442013,779271,1368474,2363482,2394888,3996373,3996368,2394883,2394881,254457045,2333837,2333838,254457047,255699797,33846090,257243437,65357300,78660695,259711399,121358836,135209397,148378492,160643706,171833736,181800515,190537361,198079144,204504913,273774630,264030458,209862700,264086511,190537359,181800513,263382117,198079141,204504910,274053767,181754854,171777907,160576613,160576612,262433814,273429170,204475279,264334638,263689912,171777910,261395852,135125274,121271099,106973879,92635629,78577612,257159168,42835444,33799483,25986108,25986107,33799480,42835441,53290530,257746668,92635628,106973877,121271096,135125272,148301615,160576609,272964248,190499023,263313838,181754852,262896368,262433812,160576606,160576605,171777899,181754850,190499020,273913708,264334636,217840243,214231108,209836586,263689910,190499017,263313836,204475268,209836588,274136366,223427908,265076994,220856538,265461682,223427905,264854150,217840245,214231113,264030456,264651767,264854154,273913710,204475274,263313842,273614032,263401368,260344394,93142212,270056886,65673504,53625203,43124107,34048374,26193923,19484609,13943669,9570562,9291436,6086572,3808415,254206257,429007,242147,134550,73126,73127,73399,39723,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15467315, s2 = 9842890, dlinesl.size( ) = 2 s1 = 15467315, s2 = 9842890, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15467315, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 1030566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14602009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14602009, s2 = 760932, int(edited[s2]) = 0 s1 = 14602009, s2 = 760932, d1 = 0, d2 = 0 Dl.O(d1) = 10903946,268215329,29102961,37651929,47557216,58939138,71660572,85226088,99148629,113138948,126997128,140351417,153049121,164886591,263121993,185177914,193495320,200624625,206638491,211606456,215667870,265185375,224296845,226408391,226505722,224403485,221982929,219164302,215825740,211789153,206848067,262297100,185516517,176046464,165356302,153567098,140892702,258201416,99652249,85703849,72118438,72118437,255809252,58234945,46867125,36988665,36988664,46867124,255380942,268781029,59386896,47997963,44564407,35186116,27097347,27097346,35186114,44564404,44564405,55412012,55412013,67752550,67752549,81218926,95276532,95276528,81218924,67752547,55412009,55412010,258538751,81218925,95276531,84955703,71380437,257760844,28804040,28804041,37342086,47251843,58644601,71380438,84955704,98881092,112868287,126719550,128420366,114537118,100506656,86544527,72944714,257573239,38885461,255948317,16670393,11635683,255121629,18391484,24891782,32537042,33988134,43046793,49075367,49111668,43046611,268434740,26147226,19449158,13917912,13917913,19449160,26147228,30547455,23129119,22901031,22901030,30299652,38885397,48807731,42871854,42871852,53333065,65330603,78627168,92681402,92996667,92996668,97792975,111715731,97792976,83933968,70407749,57713694,46364252,36505972,28042515,20874543,20867241,14965242,14965243,12338689,9096805,5951576,3721906,2535458,2535462,2925748,2925747,4855021,6774515,4264215,3718006,2226385,1291331,1291333,1458357,1458356,2530644,4232628,6751114,6770948,4254624,4254627,3704307,2218607,2218608,3704314,5924033,6812477,6754837,4232764,2530741,2530739,2570702,2570703,4299776,6851723,5923842,3704194,3704191,254217961,1459487,2532679,4236036,6759745,6776636,6776635,10294449,10294450,14961879,13300218,9081812,5940724,3714710,3714709,4308694,4244771,4244770,2541522,2541521,4251250,5955971,4249909,4249907,6772330,5946400,3718637,3718633,2226785,2226788,3718683,4249682,6762196,6762199,10287076,6792845,6792843,10301031,6845324,4295231,2567934,2567933,4295228,6845319,10386890,13314245,9094950,9094949,268140713,255990913,17202853,13272832,9057752,9057753,13272827,13272838,255367355,15019014,20894303,25252734,18708008,13314860,9095615,9095618,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,17876842,12660238,12660240,12412008,12412009,14983873,20887063,20848197,17183203,17183202,17195412,12091470,8131431,8131432,12083586,10722624,10722625,10281405,254998183,10940283,13286398,13286397,18679242,14972535,14972536,20874544,28042517,256811937,42896565,33851559,26030407,19353096,13841547,9494499,6227048,3898530,2334789,2334790,1390175,790539,790538,1389690,790278,790281,1389706,2401336,3855326,3855330,3924126,3924129,2424371,1402326,1402323,2424361,3175392,5204555,6152658,6387556,6386438,5204607,3175410,1858907,1858904,3175436,5204647,8123831,9433699,6182616,3869025,2317449,1343859,1343863,1344281,1344283,1344234 Dl.O(d2) = 10903946,268215329,29102961,37651929,47557216,58939138,71660572,85226088,99148629,113138948,126997128,140351417,153049121,164886591,263121993,185177914,193495320,200624625,206638491,211606456,215667870,265185375,224296845,226408391,226505722,224403485,221982929,219164302,215825740,211789153,206848067,262297100,185516517,176046464,165356302,153567098,140892702,258201416,99652249,85703849,72118438,72118437,255809252,58234945,46867125,36988665,36988664,46867124,255380942,268781029,59386896,47997963,44564407,35186116,27097347,27097346,35186114,44564404,44564405,55412012,55412013,67752550,67752549,81218926,95276532,95276528,81218924,67752547,55412009,55412010,258538751,81218925,95276531,84955703,71380437,257760844,28804040,28804041,37342086,47251843,58644601,71380438,84955704,98881092,112868287,126719550,128420366,114537118,100506656,86544527,72944714,257573239,38885461,255948317,16670393,11635683,255121629,18391484,24891782,32537042,33988134,43046793,49075367,49111668,43046611,268434740,26147226,19449158,13917912,13917913,19449160,26147228,30547455,23129119,22901031,22901030,30299652,38885397,48807731,42871854,42871852,53333065,65330603,78627168,92681402,92996667,92996668,97792975,111715731,97792976,83933968,70407749,57713694,46364252,36505972,28042515,20874543,20867241,14965242,14965243,12338689,9096805,5951576,3721906,2535458,2535462,2925748,2925747,4855021,6774515,4264215,3718006,2226385,1291331,1291333,1458357,1458356,2530644,4232628,6751114,6770948,4254624,4254627,3704307,2218607,2218608,3704314,5924033,6812477,6754837,4232764,2530741,2530739,2570702,2570703,4299776,6851723,5923842,3704194,3704191,254217961,1459487,2532679,4236036,6759745,6776636,6776635,10294449,10294450,14961879,13300218,9081812,5940724,3714710,3714709,4308694,4244771,4244770,2541522,2541521,4251250,5955971,4249909,4249907,6772330,5946400,3718637,3718633,2226785,2226788,3718683,4249682,6762196,6762199,10287076,6792845,6792843,10301031,6845324,4295231,2567934,2567933,4295228,6845319,10386890,13314245,9094950,9094949,268140713,255990913,17202853,13272832,9057752,9057753,13272827,13272838,255367355,15019014,20894303,25252734,18708008,13314860,9095615,9095618,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,17876842,12660238,12660240,12412008,12412009,14983873,20887063,20848197,17183203,17183202,17195412,12091470,8131431,8131432,12083586,10722624,10722625,10281405,254998183,10940283,13286398,13286397,18679242,14972535,14972536,20874544,28042517,256811937,42896565,33851559,26030407,19353096,13841547,9494499,6227048,3898530,2334789,2334790,1390175,790539,790538,1389690,790278,790281,1389706,2401336,3855326,3855330,3924126,3924129,2424371,1402326,1402323,2424361,3175392,5204555,6152658,6387556,6386438,5204607,3175410,1858907,1858904,3175436,5204647,8123831,9433699,6182616,3869025,2317449,1343859,1343863,1344281,1344283,1344234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14602009, s2 = 760932, dlinesl.size( ) = 2 s1 = 14602009, s2 = 760932, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14602009, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16317941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16317941, s2 = 9022042, int(edited[s2]) = 0 s1 = 16317941, s2 = 9022042, d1 = 30, d2 = 28 Dl.O(d1) = 28067626,255490337,11507313,7655033,7655034,255109275,22717034,268412325,38676415,48592901,255405932,22717035,16512420,11507315,7655036,4843673,4843674,7655037,11507316,11508532,7655879,7655880,7061848,4446082,4446083,4844285,7655869,254501834,7655851,11508497,16513930,16513932,21459586,22718947,16513939,11508505,11508504,16513937,255932387,30101015,30101016,38678566,268955923,256431349,48594926,59986815,72724224,270816858,84535292,70972394,70972393,84535290,98456846,112446202,114314113,114314114,114314115,114314111,114314112,128196917,261120520,100283735,114314105,100283736,260029741,128196908,141553495,154214934,165972069,261120522,128196903,128196902,141553489,261670896,261670892,141553485,128196900,128196901,141553487,154214931,165972067,154214936,141553499,128196909,260542668,100283739,260630361,141553500,154214937,154213366,141551907,141551908,154213322,141551872,128195279,128195280,141551874,154213325,165970376,165970372,165970369,154213316,141551869,261753761,165970367,263178099,262743245,154213309,141551861,128195270,114312511,114312510,114312519,260630139,260630141,100282129,100282130,114312523,114312513,114312512,128195272,141551863,154213312,141551870,134614590,120818370,106570881,106570880,260305659,134614592,147744817,160008382,262989792,147744815,262494621,261732756,261185378,128195311,114312551,260630143,259412599,72722529,72722528,259412597,92469139,92469138,106774802,259909973,259290741,72722530,59984992,48592911,269353875,72722532,86320044,98446805,98446804,112436318,270855835,72722537,72722535,71611874,58892073,256548030,29058405,21762991,15706940,15706942,21762995,29058414,37050028,37050029,41759376,52072421,63889892,76999906,90877976,76999903,256041202,52072420,53166604 Dl.O(d2) = 53166607,65150962,78432928,70344635,57654098,57654099,70344638,259246311,258442661,65150961,78432926,83869859,83869861,97728777,111649488,125452056,138780909,125452051,259390074,83869853,83869854,97728772,271750245,97728780,270321900,70344642,74525771,74525772,70344647,61744027,50265713,40246055,40246054,269001049,40246061,31559716,24054974,24054973,31559714,40246057,50265716,61744030,74525758,88137626,259865129,125452062,116182303,116182304,130089685,271323546,167566729,157046745,144648374,131425496,117624517,117624518,131425500,144648378,144648380,258091270,103494155,103494154,92743185,92743184,102124961,116182294,122930229,260307654,149902263,144648373,140716833,140716832,259340978,260560166,103494158,103494159,117624530,130089679,130089680,117624515,117624516,127860308,260377668,117624513,259340970,75638615,75638616,80323343,259133781,94378519,108665874,107083797,92743179,92743178,259762619,54638367,43895448,34623628,34623629,43895450,54638359,43895445,43895446,54638361,270110779,94378502,94355154,94355155,106597588,108665864,259375722,94355160,94355156,94355157,260375925,271071940,271575546,92743170,78679596,78679595,65374624,65374625,65374628,65374627,65374591,53370450,42904340,33859158,26037797,19359987,13847709,13847708,19359984,26037793,33859152,42904328,53370433,65374612,260329247,93253699,93253698,87591668,73991376,257627179,39715359,268433947,17246742,17246743,23555735,31037806,39715361,49734175,61212548,51040437,40901227,32125849,24546772,18111586,12842710,12842712,16067386,12524959,12524957,17706839,24061994,31567739,29539333,22196134,22196135,29539336,31567653,24061904,17706748,17706747,24061902,18111778,16067517,12524884,11156780,11156781,12524983,12524980,16642879,16068002,11157062,7400265,4674961,2816413,2816412,2816430,1633923,1633922,2816425,4674981,7400307,11157152,16068138,22197021,24062007,24062005,28698279,21446456,21446455,22275453,16132862,16067365,11156655,11156653,7400357,7400354,11157249,15449917,15449916,21446450,28698265,37224079,29540029,22196733,22196735,29540032,38103455,38851782,38851784,31567789,31567790,40255426,48014088,48013388,48013389,42123307,33166831,33166829,38207595,33294653,25533234,18922372,18922371,22288964,16145143,11216515,11216518,11216538,7442394,7442396,11216544,15460671,15460668,21460732,19272900,13776213,13776212,19272895,25873748,19215041,19215042,25873752,29715651,24587677,18143121,18143120,24587674,24906680,18402509,13071194,13071195,13071156,13071157,18402454,24906619,19272540,13775929,9444474,9444475,13775932,19272545,25935023,254722634,7478775,7478774,11265851,16206345,22358700,29714445,254329794,254722352,31822203,255814190,17708072,12526069,8487810,8487812,6159666,6159665,9401385,6159457,3854068,2309103,2309104,3854075,6159472,9401410,13061271,13061270,13085743,12865650,8749587,5696628,5696627,8749581,12865638,18143113,24587663,32173775,31124744,31124745,33679217,32532153,24887376,18387978,13061112,13061113,255631173,32532158,268378874,25873983,20302205,20302204,20302232,14569586,10025722,10025723,14569588,20302235,27231479,35354639,44779358,41382354,41382353,258675333,257883704,62496944,50897124,268701925,32024678,256582860,55301408,44456888,44456889,48699351,38777109,38777110,256174854,255297294,100383380,256693294,134969363,259091558,78527151,271081921,260915871,121160558,134969367,272647476,260780764,98503719,84578282,71013518,58298151,46932033,46932032,58298148,71013513,84578272,98503711,270961926,258541627,55451233,256755985,27127526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16317941, s2 = 9022042, dlinesl.size( ) = 2 s1 = 16317941, s2 = 9022042, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16317941, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 14061897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1038724, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10139132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10139132, s2 = 14058210, int(edited[s2]) = 0 s1 = 10139132, s2 = 14058210, d1 = 27, d2 = 20 Dl.O(d1) = 30871548,28914843,21640509,15608708,10798804,10798805,15608711,21640512,26256036,19537554,19537555 Dl.O(d2) = 255715227,256705285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10139132, s2 = 14058210, dlinesl.size( ) = 2 s1 = 10139132, s2 = 14058210, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10139132, Dl.E( ) = 34, 1.69e-05 seconds used appending s1 = 14055085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055085, s2 = 1040215, int(edited[s2]) = 0 s1 = 14055085, s2 = 1040215, d1 = 12, d2 = 2 Dl.O(d1) = 33775991,25966277,19300243,13799579,13799581,19300247,24348033,25878785,21679118,15639854,10822821,8931227,5829347,3637423,3637422,5829343,8931221,7281763,7281762,6161707,6161708,9404805,13728889,10600989,10600990,255254892,24347878,17955957,12796030,8699729,8699732,6023030,6023033,9199371,9199373,10601350,6994447,4395678,2634102,2634103,4395682,6022888,3767967,3767969,6022889,9199167,13451687,12816719,12816720,8936437,8936438,13112148,18457383,19446579,19446580,21725974,20797741,14904694,10247947,7282645,4592719,4592720,7282648,7282689,11001516,15872570,254646112,13790121,9455687,9455688,13790122,19288862,21374937,15393776,10638834,7023359,4417162,2649432,2649433,4417164,7023360,10638835,15393778,21374939,28609924,37120171,47006368,269298178,52569077,42208597,33246864,25496200,18891137,13462412,13462414,18891138,25496201,33246866,42208598,52569078,256816668,91541568,258630148,77297489,64148382,52296095,41955200,33012947,25287993 Dl.O(d2) = 26311188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055085, s2 = 1040215, dlinesl.size( ) = 2 s1 = 14055085, s2 = 1040215, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14055085, Dl.E( ) = 14, 2.29e-05 seconds used appending s1 = 11124942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124942, s2 = 255600, int(edited[s2]) = 0 s1 = 11124942, s2 = 255600, d1 = 4, d2 = 7 Dl.O(d1) = 46469166,52647500,52647499,64012449,254633890,41854652,43306869,34208493,26334715,26334713,34208490,257265273,65898745,65898756,65898755,65898723,53831681,43306853,43306852,53831679,259738007,107810217,258983112,259610382,270112480,19606591,14049205,9660567,9660566,14049203,19606587,26334711,34208487,43306860,259106973,65898739,53831699,53831698,258477295,93387500,259610386,93387516,259610384,79260804,257742478,26334714,19606589,19606588,19606590,256705093,256602146,268722822,256602148,258983116 Dl.O(d2) = 43306863,43306864,43306859,43306858,53831694,65898733,269051500,65898730,53831691,43306857,43306856,53831687,65898728,79260785,93387507,107810215,94383577,80328845,257886045,43900986,43900983,269879976,26334705,256705087,257244952,16890559,16890560,23151370,17524925,12359162,12359163,13962935,13962934,14908633,10251038,10251036,14908625,19210045,13721331,13273507,9058405,5922469,5922470,9058412,13273521,16087388,11173249,7413013,7413016,11173161,7412958,7412959,11173167,11406566,11406567,11406517,7579737,6231439,6231442,9500574,13849188,19362046,25882802,19362305,13849367,9500693,6231507,3901445,3901446,6231509,9500699,254466970,268043572,42907963,256602150,53831687,65898728,79260785,93387507,107810215,94383577,80328845,257886045,43900986,43900985,53831671,43306845,43306844,53831672,65898710,79260772,259738005,259766572,79260759,259610378,122216631,269954698,122216630,122216631,257154958,254199758,254199760,32924955,35381260,27256226,27256227,35381262,44805822,44805821,38443788,268639442,53492269,43014166,33957559,33957560,43014169,37187439,28666271,28666273,37187441,47082774,53110255,42658418,42658417,257491635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124942, s2 = 255600, dlinesl.size( ) = 2 s1 = 11124942, s2 = 255600, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11124942, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15353761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15353761, s2 = 15228072, int(edited[s2]) = 0 s1 = 15353761, s2 = 15228072, d1 = 9, d2 = 17 Dl.O(d1) = 19441299,26137250,33976089,33976072,26137236,19441288,13911657,9547782 Dl.O(d2) = 6264345,254949943,19441300,13911705,13911706,19441002,26136891,26136462,19440638,19440639,26136463,33975282,257251059,40402507,31710372,24202710,17833155,12627665,12627664,12254801,12254800,17390425,23714276,26136855,26137232,33976068,43032234,43032235,33976069,33976070,43033030,52796882,42397286,33408172,25641510,19024599,19024597,25641507,27109915,32312507,24698864,18229201,12929829,12929830,18229208,18229450,12930010,12930011,18229440,16201163,11262226,7476545,7476546,11262231,16201171,12930000,12930001,14501497,9978578,6558605,4108878,4108877,6558603,9978574,9978576,6558609,6558610,9978588,14501037,11262318,7476586,7476585,11262315,16201294,268377779,21133777,21485672,27109677,27109675,35199519,27109946,27109948,35199789,44578025,255527652,35199814,27109969,20209053,14501520,14501519,20209050,26915686,23338551,17072388,17072387,17072389,11984140,254103314,17007335,17007336,23270369,30687071,39284113,49210447,48278308,46977774,37094471,28588166,21357200,21357199,23234099,23234100,21357391,15379981,10628225,7015160,4410903,4410902,7015154,10628213,15379960,17029657,23289032,30705126,39302937,30705124,30705123,39302935,49211275,49211274,39406431,255528588,37719630,30655330,23234095,16961573,11873567,11873566,16961571,23234093,30655326,38953447,43354888,37094473,37094472,28588326,21357353,15379955,15379956,21357355,28588330,37094637,46977935,58347297,58347179,49184543,47967231,47967232,46977850,37094567,37094566,38941375,38941374,39284109,39284110,43354782,34254870,34254869,26377557,19643901,19643902,26377558,34254872,26377646,26377647,34254971,268678516,29239334,21920706,15835988,10973971,7263617,4580773,4580770,7263611,10973960,15835974,21920680,29239295,37802849,47724054,39946066,39946065,43354298,53879144,46501508,36634376,34995700,28159722,28159721,30757487,26377478,19643835,19643834,26377470,34254792,43354702,34254885,26377567,19643905,19643906,26377456,26377457,34254780,43354685,37802903,37802904,257062172,19643951,14079693,14079694,14079659,9684248,6369891,3997018,3997019,6369894,9684254,6369904,3997025,2395299,254311417,6369902,9684266,14079695,19643712,19643713,26377307,34254633,26377642,26377641,34254278,26377014,19643471,19643470,19643909,14079669,14079670,19643910,14079785,9684320,254463339,3997037,6369931,9684327,14079799,16157779,22303571,29655283,38221265,34253906,34253905,34254523,39314824,34255147,26377798,26377020,26377021,34254287,39272473,30675994,30675993,30783405,23358580,17090030,17090028,14079834,9684351,9684275,9684274,14079710,17243229,23551328,19644081,14079793,9684324,9684323,14079792,19644078,26377829,19644077,15440699,10674897,10674898,12126149,10324690,10324689,14993835,20898047,28069335,36536226,46397165,55425153,55704367,55704368,49116340,49116341,60518352,257011891,30590176,23171801,23171802,30590179,39187651,49116329,49116334,60518350,73263760,75443019,75443020,259068724,62521374,50918676,256673208,40799960,40799959,47912532,42667904,33638377,255689682,13698648,13698649,19182304,22101602,29434021,256383688,42668420,255283406,19183210,19183209,25836515,33639580,33639388,25836318,19183053,13699315,13699316,19183056,25836326,33639392,42668710,42668542,33639130,25836048,25836049,33639136,40489806,33638832,25835816,25835815,33638826,42668272,42668222,42668225,42668700,42668922,42668461,33639047,25835978,25835979,25835950,25835951,33639003,254939086,255689802,256618656,25772558,25772557,33561960,42578643,53018839,64993947,64993950,64993949,64993951,58716537,53127698,53127697,42676997,33647406,33647407,29637771,29637770,38020776,39924205,31248610,23764180,23764183,18930578,13495497,9232886,6046694,6046695,9232890,13495508,16909086,16909085,23172938,30591502,30591535,23172962,16909098,16909099,23172965,30591539,37419445,42285466,39189020,30628586,30628587,39226500,38204452,36949851,28449597,28449598,268329590,48115312,59503183,61708106,50227134,40205494,31519188,24017620,17668964,12494448,12494447,17668962,17106974,12021026,8080647,8080648,12021032,17106980,23376761,30804783,24268389,17889496,17889497,24268395,31780977,40475465,40332897,268620590,24268819,17889795,12671783,8605505,5592143,3469415,3469416,5592148,8605329,5592036,3469336,2057310,1180333,662852,662854,1180347,2057346,3469386,5592097,8605414,12671672,17889642,16838728,11775511,11775512,12671514,17889349,18215044,18215043,23376829,17889216,17889215,24268039,24268458,17889535,12671618,12671620,17889541,17889582,23093718,16838594,16838596,15253649,15253565,15253566,15253587,21223249,24268095,31780632,24268074,24268072,24268779,24268903,24268906,24268262,17889393,17889394,17889490,17889363,12671524,8605318,8605252,8605254,5592112,5592111,8605459,12671721,17889721,18764327,17106987,12671605,12671604,17889513,24268418,31780985,40475559,40475962,31781253,255594017,12671681,12671683,8605484,8605483,12671749,17889751,15168378,15168379,21114343,28324011,36819271,28323966,21114309,15168355,10461153,10461157,15168371,21114331,28323992,29147685,29147684,37707909,47630081,46737234,36855730,28357899,21143120,21143123,28357907,36855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9,12184500,8215658,8215660,12184712,17307645,12184508,12184507,12184611,12184556,12184555,12184566,12184589,17307807,23622691,30655562,23622753,17307844,17307847,23622762,31108098,23622657,17307791,17307793,23622666,31108116,39787508,38900928,38900927,39787748,31108304,31108305,31107431,29664123,22311953,22311951,29664118,38230382,39787567,46640439,46640440,39786984,39786983,49806143,58105572,46734313,36851879,36851881,31107648,23622350,17308053,17308054,17308067,23623146,31108262,23622773,17307854,17307855,23622604,23622602,23622607,23622608,31108007,39787372,39787657,39787397,39786990,39786989,49806157,49806597,49806605,39787490,39787489,49806627,61284525,61284584,60225258,48829037,39786891,38907253,30320547,30320550,38230361,38230360,48140493,48140527,48829217,47451574,47451575,58837649,61284958,49807336,39788180,39788179,39788238,39788213,39788214,49807365,58832319,47446235,37538116,28992812,28992800,28992802,31108271,31108273,39787698,48839142,47451689,47451690,48837265,40018431,31339280,23846658,23846661,31339292,40018445,38916499,30330151,30330152,30314304,22914234,22914236,30314309,38900888,48823105,38907296,38907294,48823149,38900918,38900920,38907359,38907360,48829129,48829189,38907402,30320660,22920262,17308010,17308013,23623041,17308022,17308024,23623071,31108703,39788227,47446262,37538138,28992822,21708494,15666661,15666663,16696706,17477054,17477055,23810852,31296841,39971150,48836999,38916682,38916681,31296877,23810894,23810895,30320751,30330159,30330158,38916510,38900843,38900844,38900870,39786406,31107186,23622049,22920216,16686561,11648306,7760728,7760730,11648312,16686575,22920235,30320594,22920284,16686593,11648321,11648322,16686597,22920294,21708479,21708480,28992786,37538078,37905620,29336822,29336820,37905614,38907477,30320716,30320717,31107175,38904124,38904125,30320649,22929511,22929512,22929505,22929507,23810888,17477073,12322018,11655871,11655872,16695006,16695024,22929472,30314281,22914221,16681180,16681181,22914222,30314287,22920243,22920244,30320560,30320539,30320542,30320744,22920319,16686610,255506085,22920273,22920274,30320675,38907428,38903865,37307398,37307397,47213833,257726760,258182985,71334443,257453511,39970671,31296283,23810302,17476630,17476631,23810309,28983070,31296406,30316582,23810407,23810406,17477160,12322077,8323012,5370547,5370548,8323014,8323021,8323022,12322092,17477179,22916942,28983127,21713282,15670618,10848554,10848553,15670614,17476840,17476839,16683299,11645419,11645417,11645431,16683325,16683390,22916933,30317246,22916773,16683244,16683243,16681260,11643850,11643851,16681266,22914286,30314378,23810616,17476878,17476644,12321751,8322823,8322824,12321755,12321873,8322884,8322885,12321879,17476864,17476690,12321780,8322838,5370456,5370455,8322833,12321771,17476674,22916084,16683396,15660426,10841117,10841120,15660419,15670605,15670604,21713261,21713626,21713625,21713448,16683250,16011778,16011779,16683460,22917026,30314405,30314404,30317235,22916766,16683963,16683961,22917611,28998440,21713547,15670814,15670812,11645270,11645269,16683064,22916563,30316984,38903880,31296317,255949845,22917678,22916272,22916271,30316493,23810363,17476678,17476679,12321881,12321880,17476872,23810603,30316477,28998229,28983139,21700626,21700627,21713594,15670863,10848710,7172131,4517769,4517770,7172135,4913544,4913543,7758287,11645368,16683231,22916760,30317225,38904052,38904960,30318134,30316998,22916570,22916571,30317001,28998428,28998430,30316989,38903875,30317266,30317268,28998543,21713651,15670893,10848729,10848727,15670889,16682705,11645022,11645023,10720622,10720624,15502099,21511746,23810511,17476800,17476801,23810517,31296500,37307774,38903991,30317151,23810772,22917016,16683452,11645499,11645498,15670831,21713562,16683146,11645324,7758267,7758264,11645317,11645318,16683134,22916654,30317085,38903935,38887430,37307213,37307211,47213675,47213375,37306862,30324221,22923394,16689217,16689218,22923381,30324201,37307276,37307270,28773499,21512030,15502285,15502284,21512025,28773682,28773298,28773297,28774008,21512274,21512276,28773936,21512210,21512211,28773938,37307740,37307028,28773318,21511769,21511768,28773311,37307021,47213503,48838433,38917924,38917925,47213884,38903923,30317071,30317073,37543710,28998338,21713434,21713435,28998342,30301514,37301911,28768697,28768696,22905222,16673805,16673806,16673790,16673789,15502010,10720580,7082698,4459211,4459212,7082702,10720590,15502029,21511634,15502388,15502389,21512205,28773927,37307730,47214100,38906771,37307677,28773859,28773858,37307672,38893505,48814839,48937032,48937031,48838419,38917906,38917795,38917794,39459896,39013855,30425019,30304282,30304283,38890349,38890997,37307573,28773781,28773782,37306685,30304375,22905320,16673871,16673872,22905325,30304216,22905207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15353761, s2 = 15228072, dlinesl.size( ) = 2 s1 = 15353761, s2 = 15228072, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15353761, Dl.E( ) = 18, 2.38e-05 seconds used appending s1 = 10997658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15213096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7957943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7957943, s2 = 12274624, int(edited[s2]) = 0 s1 = 7957943, s2 = 12274624, d1 = 12, d2 = 32 Dl.O(d1) = 20318288,14581409,13454490,9201016,9201012,13454479,14444052,18885102,18885100,13458170,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5968027,5968028,9120666,13347726,255655621,33055649,26405447,26404498,19670222,19670223,26404367,19670103,14100454,9698392,9698391,14100453,19670099,19670901,22684185,22684184,30061444,38635404,34280687,26406157,19671762,14101731,14101729,19671759,26405230,26404444,19670971,14101778,14101779,19671818,268323334,14100720,9699429,9699430,11486135,7639676,4833367,4833368,7639681,11486141,16485353,14101222,14101223,19671046,14101193,9698856,9698855,14101185,19670243,19670244,14101034,9698776,9698777,9699061,14101500,15234428,17773599,19670008,19670009,26404245,26404250,23448530,23448528,30879293,26404556,26404554,28421693,21198990,21198993,19670874,14101046,9698781,9698782,6378941,6378942,9698840,14101157,19670999 Dl.O(d2) = 144259809,131021242,117223114,103107117,89036632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7957943, s2 = 12274624, dlinesl.size( ) = 2 s1 = 7957943, s2 = 12274624, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7957943, Dl.E( ) = 40, 1.41e-05 seconds used appending s1 = 772218, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1044782, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10167224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10167224, s2 = 4519469, int(edited[s2]) = 0 s1 = 10167224, s2 = 4519469, d1 = 33, d2 = 31 Dl.O(d1) = 254962939 Dl.O(d2) = 178732226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10167224, s2 = 4519469, dlinesl.size( ) = 2 s1 = 10167224, s2 = 4519469, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10167224, Dl.E( ) = 54, 1.81e-05 seconds used appending s1 = 6621365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6621365, s2 = 13259404, int(edited[s2]) = 0 s1 = 6621365, s2 = 13259404, d1 = 24, d2 = 47 Dl.O(d1) = 256628920 Dl.O(d2) = 42894185,256685733,26028752,19351740,13840430,9493599,6226249,3897865,2334362,1367788,779069,441961,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441960,779066,1368026,2362519,3945909,6296890,9474756,9474757,255290607,255697769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6621365, s2 = 13259404, dlinesl.size( ) = 2 s1 = 6621365, s2 = 13259404, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6621365, Dl.E( ) = 62, 3.5e-05 seconds used appending s1 = 984263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1049951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14019556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16007149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348224, s2 = 6792030, int(edited[s2]) = 0 s1 = 10348224, s2 = 6792030, d1 = 24, d2 = 26 Dl.O(d1) = 258150350 Dl.O(d2) = 258525220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348224, s2 = 6792030, dlinesl.size( ) = 38 s1 = 16200111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16200111, s2 = 8570003, int(edited[s2]) = 0 s1 = 16200111, s2 = 8570003, d1 = 40, d2 = 36 Dl.O(d1) = 36696115,39527807,39527808,49461242,40234696,31548773,31548774,40234698,50254109,51667119,41424978,32564784,24912697,18407131,18407132,24912699,32564787,41424979,43927767,254953820,26662955,34654554,43927765,54670139,58054933,46680520,36794438,36794437,38732904,256978249,60050253,258791555,100342414,114367279,128244983,141596231,150473185,137435727 Dl.O(d2) = 53532036,43052137,33993306,26151822,19453114,13921032,254671507,3925485,2350056,1361404,1361406,2350067,3925509,6269637,9554993,13921165,16037852,11135871,7386339,4666363,2811273,2811272,4666358,4666359,4666379,7386365,11135922,7929559,7929558,11864840,16952407,16002997,16002995,16003157,16038510,16038509,11136492,7386714,7386715,11136493,7386838,4666650,4666648,7386831,11136654,255452123,29497589,38060504,47926535,38011962,29449845,29449843,29497627,22158746,22158745,22115687,16002965,11109985,11109986,16002969,22115699,22115987,22115965,22115966,22116425,22116427,22116689,29450306,37976267,38011945,30223508,30223510,30224095,22832100,22832099,22116496,16003712,16003711,21665267,21665268,22116383,22116382,29449977,38012099,29450167,29450166,29450076,22116455,22116456,29450080,29815241,29815240,38012464,29815269,29450356,29450355,38012369,38012370,33050601,29497640,29497639,38060539,38470390,38012119,29449986,29449985,38012115,47891950,38012018,29450201,29449629,29449628,38011799,47926421,255116112,58780752,47393784,37486098,28944060,28944062,22080103,15974540,11089304,7354451,7354448,11089295,15974526,255885079,29449287,29449285,38011530,47926239,47926842,47926435,38060557,29497657,29497658,38060559,39760732,31082777,23598905,17286368,17286369,23598908,31082785,38060532,37973925,37973926,47891839,59288014,64183456,70513459,59288116,47891990,47891991,59288118,48536238,38621274,254848002,255561340,256029126,30019306,22646831,16456039,11465744,11465745,15322879,17312714,23628709,30675093,30675094,39271574,43051518,39735392,31057195,268673065,38436917,29878054,22521420,16348227,11375790,7557540,4778924,4778925,7557541,7554272,4777055,4777056,7554275,11370996,16342433,17285234,15908426,11029703,7304200,7304185,4774289,4774290,7549272,5257782,4780168,4780164,7559556,7559610,5262029,3217284,1885035,1885034,3217276,5262010,7289509,11011546,11283136,11283137,15913857,15913858,22015459,17317996,12193217,267789160,5293709,8223519,10909124,10909125,7555183,4777553,4777555,7555189,8237830,12205896,17330922,17338271,12212340,8243067,254181560,16804066,15158284,10453825,10453827,15158294,21102742,17292374,12171196,8203242,8203241,8176163,8176165,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201558,8343659,8343660,8226127,5296663,5296662,5244422,3203082,267841091,8174808,12145035,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918381,22019777,22472527,21296523,15329448,15329451,21296531,16321200,16321199,22494926,28516456,23378467,21295752,21295751,28516844,28429574,21205739,21205738,28315209,28315208,36811498,29839535,29839534,29862911,254582236,15918660,15918662,22020133,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798789,11693430,15329374,16736103,21979528,29307075,23585921,23585922,29862689,22500136,22500137,17277594,15995118,15995117,22106339,29439627,38002671,31252920,28752801,28752802,28503320,21284915,15321133,10582196,10582198,15321142,21284931,28312010,28312009,29562051,22501022,22501021,21192399,15229102,15229103,15229049,10505143,10505144,15229054,21192309,23037940,30445547,36911484,28413921,21192238,21192237,28413914,36911473,28979641,28979642,37523412,29324544,29324545,30413507,37000855,36911443,28413894,21714917,16336065,16336066,22509716,28874445,29868992,22509683,22509684,29324658,21995151,21995153,23049732,30457347,28849965,28285865,28285867,36782628,36513233,28049044,20880670,20880669,28049042,21148665,21102345,15157994,15157991,21102334,21455500,15456531,15456533,21455509,28271437,28271435,21614624,21614622,28890743,28868795,22793702,21792501,15733959,10897144,10897145,15733966,15141786,15141789,21079913,23360691,23049720,21634309,15602765,15602764,21634303,21615681,21615679,24149367,31659806,30894885,23616056,17302892,12180763,8212559,5283713,5283712,8212557,12180760,17302887,21632833,255014634,7933410,7933411,11869383,16957148,23229887,30651286,37431825,28890088,21613996,15584655,15584656,21098137,15154849,15154848,21098135,25341400,22506881,22506878,21614484,21614485,22793446,22509327,16335741,16335740,21101430,15157333,10781624,10781625,15585554,15585311,15585310,21614821,15585291,15585190,10781729,10781731,15585702,11482854,7637597,4832087,3142398,1837830,1491759,1491761,2587672,4325212,6889732,10451566,15154851,21098142,28307987,36804969,46689106,58062211,258649825,271295245,272173051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16200111, s2 = 8570003, dlinesl.size( ) = 14 s1 = 1645328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16192609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1065813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14041104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15377167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981392, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 794165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7843750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1398178, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6527072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6527072, s2 = 6814504, int(edited[s2]) = 0 s1 = 6527072, s2 = 6814504, d1 = 2, d2 = 20 Dl.O(d1) = 255590776 Dl.O(d2) = 46316836,57661097,70351116,257560226,97735018,97735019,111655829,111655815,97735008,83876082,268648266,57661098,70351118,83876083,258169202,258792822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6527072, s2 = 6814504, dlinesl.size( ) = 2 s1 = 6527072, s2 = 6814504, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6527072, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 15115059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14907693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6586937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6586937, s2 = 14851692, int(edited[s2]) = 0 s1 = 6586937, s2 = 14851692, d1 = 14, d2 = 7 Dl.O(d1) = 256278070,20905956 Dl.O(d2) = 4257671,4264929,2567766,1478434,1478435,1467263,1467262,2546940,4260326,4300223,3715467,3715468,5941861,4274730,4274729,6815224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6586937, s2 = 14851692, dlinesl.size( ) = 2 s1 = 6586937, s2 = 14851692, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6586937, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 16209863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1082328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1082328, s2 = 7269699, int(edited[s2]) = 0 s1 = 1082328, s2 = 7269699, d1 = 0, d2 = 50 Dl.O(d1) = 28093132 Dl.O(d2) = 213394121,208792061,203193024,196515384,188716138,188716137,196515382,262766616,188716136,196515377,203193018,264253720,213394147,263588706,196515425,196515424,263588704,264253724,274109390,274109386,217164501,217164502,264534980,217164529,220302587,264788590,264788588,225254099,266163925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1082328, s2 = 7269699, dlinesl.size( ) = 14 s1 = 13605575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16204465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16204465, s2 = 14099673, int(edited[s2]) = 0 s1 = 16204465, s2 = 14099673, d1 = 40, d2 = 44 Dl.O(d1) = 77781568,85024186,71452124,58721685,47333085,37424728,28882501,21606612,15578134,10776129,255394468,8456907,12485784,17656391,24000613,31498156,40182911,50205721,61688527,73239551,86852313,257267852 Dl.O(d2) = 6011620,6011617,9185055,12727058,12727060,17959870,24352932,31877862,254959746,62127446,260763575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16204465, s2 = 14099673, dlinesl.size( ) = 2 s1 = 16204465, s2 = 14099673, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16204465, Dl.E( ) = 46, 1.41e-05 seconds used appending s1 = 7885445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 179741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 179741, s2 = 1931991, int(edited[s2]) = 0 s1 = 179741, s2 = 1931991, d1 = 31, d2 = 63 Dl.O(d1) = 4289880,255008623 Dl.O(d2) = 49939445,61417364,58184976,58184977,61493202,50015350,39997285,39997287,256361693,29180846,22857880,22857879,30252862,34637140,30252858,22857877,22857876,21046320,21046321,28246175,34637128,34637127,43910318,46629898,38836704,38836703,35116133,27029478,20136812,19416070,19416071,26107742,33942890,28735611,268615423,31319986,28246178,28246177,28246152,28246153,35116147,27029490,27029489,35116120,27029483,20136818,14442752,14442753,20136821,15796072,10944463,10944464,10944472,15796086,21870090,20136801,14442742,14442741,20136795,27029464,29180819,29180820,31785226,24272389,17892816,17892818,24272390,19832470,19832469,26645813,26645827,26645840,31785249,24272410,17892831,12674061,12674060,17892825,21478497,15476049,15476050,21478501,28735615,24272378,17892808,12674055,12674056,17892811,24272386,31785224,34306011,26428228,19690637,19690638,21870077,15796080,10944469,7242263,4565931,4565932,7242266,10944474,15796090,14442748,9935267,6529850,6529851,9935272,14442758,19832487,14207120,9766598,6421375,4028455,4028454,6421372,9766592,14207115,19832477,19832497,19832496,26645853,30860130,30788441,23362944,17094049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 179741, s2 = 1931991, dlinesl.size( ) = 2 s1 = 179741, s2 = 1931991, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 179741, Dl.E( ) = 88, 3e-05 seconds used appending s1 = 13391181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1087471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8286955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8286955, s2 = 14067741, int(edited[s2]) = 0 s1 = 8286955, s2 = 14067741, d1 = 23, d2 = 53 Dl.O(d1) = 84279440 Dl.O(d2) = 66895507,54638150,43895192,34623329,26634076,19822618,19822614,26634066,34623308,43895150,54638083,66895413,80323221,74626283,61834026,61834025,68099605,78272482,78272481,77929035,67811067,55469413,44620290,44620291,55469414,67811069,81278475,86585426,72988268,60252759,48859929,48859928,60252758,72082226,59348911,48859931,38940384,30354158,30354157,38940381,48859927,270345255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8286955, s2 = 14067741, dlinesl.size( ) = 2 s1 = 8286955, s2 = 14067741, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8286955, Dl.E( ) = 62, 2e-05 seconds used appending s1 = 7876925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11698134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3205618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3205618, s2 = 15191687, int(edited[s2]) = 0 s1 = 3205618, s2 = 15191687, d1 = 1, d2 = 1 Dl.O(d1) = 42290824,52677103,64577278,259041381,105894141,120105724,120105725,133947526,142093359,154731102,142093362,142093361,142093363,154731105,142093368,128735238,128735236,114835647,100783785,86803128,73191205,60444770,49041002,39111283,30514145,23098457,254877386,254421798,4991685,7864134,11778440,16842530,12024573,12024574,17111174,23381514,28372291,36869023,46748392,58117101,256501638,98297472,112278951,112902029,98914162,84988780,254263752,47289998,37380671,28840793,28840794,23190217,23190216,22506160,22506162,23856612,17513326,12349756,8343804,8343803,12175379,8207213,8207211,12175390,17296880,22513622,17091198,12003879,12003880,17091201,16344183,16344184,22517612,21560384,21560383,16334789,12176042,12176040,17297454,14435652,14435653,12197898,8228636,8228637,9007752,9007753,7554105,4776971,2879008,1670838,1670839,2879013,4776981,7554127,11370757,16342134,22515581,23606500,17293598,12172433,8204685,5275970,5275969,7553352,7553351,11369563,16340624,22514261,18725416,13330214,9108142,5959697,3727018,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,4772335,4772334,7545618,9929888,9929890,10746842,10746841,15539217,17331189,23318934,17054399,11963944,8008704,8008628,8008629,11963813,17054332,23318889 Dl.O(d2) = 42290824,52677103,64577278,259041381,105894141,120105724,120105725,133947526,142093359,154731102,142093362,142093361,142093363,154731105,142093368,128735238,128735236,114835647,100783785,86803128,73191205,60444770,49041002,39111283,30514145,23098457,254877386,254421798,4991685,7864134,11778440,16842530,12024573,12024574,17111174,23381514,28372291,36869023,46748392,58117101,256501638,98297472,112278951,112902029,98914162,84988780,254263752,47289998,37380671,28840793,28840794,23190217,23190216,22506160,22506162,23856612,17513326,12349756,8343804,8343803,12175379,8207213,8207211,12175390,17296880,22513622,17091198,12003879,12003880,17091201,16344183,16344184,22517612,21560384,21560383,16334789,12176042,12176040,17297454,14435652,14435653,12197898,8228636,8228637,9007752,9007753,7554105,4776971,2879008,1670838,1670839,2879013,4776981,7554127,11370757,16342134,22515581,23606500,17293598,12172433,8204685,5275970,5275969,7553352,7553351,11369563,16340624,22514261,18725416,13330214,9108142,5959697,3727018,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,4772335,4772334,7545618,9929888,9929890,10746842,10746841,15539217,17331189,23318934,17054399,11963944,8008704,8008628,8008629,11963813,17054332,23318889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3205618, s2 = 15191687, dlinesl.size( ) = 2 s1 = 3205618, s2 = 15191687, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 3205618, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 16210645, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14056219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056219, s2 = 8341737, int(edited[s2]) = 0 s1 = 14056219, s2 = 8341737, d1 = 1, d2 = 1 Dl.O(d1) = 268343275,35360007,44783758,35360009,256764307,269652515,52812395,42411079,33420126,25651700,19033079,13585758,9302441,9302444,13585766,18418784,24345016,18419374,18419373,23371855,23371853,30798449,31908749,40623020,50680439,46277623,36424969,27966438,20803986,14909729,10251916,6736248,4220643,2523524,2523528,4220653,5817548,5817549,8914703,13082320,13083037,18419329,24930632,32592270,41469295,36424939,27966402,21181711,15220729,10499196,10499195,9109375,9109377,13332097,255252042,15220730,21181712,28402467,36899720,46777465,258030847,70859098,84416581,87964648,74362404,61585840,50105844,40085215,40085216,50105848,61585848,74362410,74232560,61453441,49975419,40085217,31404833,23913468,268113005,8379215,8379216,12398818,17570737,23913474,23913464,17570734,17570735,23913465,31404829,28881472,21605547,21605548,28881474,37423612,47331951,58720458,258696251,71450929,259322765 Dl.O(d2) = 268343275,35360007,44783758,35360009,256764307,269652515,52812395,42411079,33420126,25651700,19033079,13585758,9302441,9302444,13585766,18418784,24345016,18419374,18419373,23371855,23371853,30798449,31908749,40623020,50680439,46277623,36424969,27966438,20803986,14909729,10251916,6736248,4220643,2523524,2523528,4220653,5817548,5817549,8914703,13082320,13083037,18419329,24930632,32592270,41469295,36424939,27966402,21181711,15220729,10499196,10499195,9109375,9109377,13332097,255252042,15220730,21181712,28402467,36899720,46777465,258030847,70859098,84416581,87964648,74362404,61585840,50105844,40085215,40085216,50105848,61585848,74362410,74232560,61453441,49975419,40085217,31404833,23913468,268113005,8379215,8379216,12398818,17570737,23913474,23913464,17570734,17570735,23913465,31404829,28881472,21605547,21605548,28881474,37423612,47331951,58720458,258696251,71450929,259322765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056219, s2 = 8341737, dlinesl.size( ) = 2 s1 = 14056219, s2 = 8341737, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14056219, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 6639818, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14885983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8042458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8042458, s2 = 15360434, int(edited[s2]) = 0 s1 = 8042458, s2 = 15360434, d1 = 32, d2 = 86 Dl.O(d1) = 112665765,112331958,112331957,98348556,84438689,70881299,58167186,46799793,36921791,28423462 Dl.O(d2) = 8011795,8011794,11968212,17060037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8042458, s2 = 15360434, dlinesl.size( ) = 8 s1 = 8066379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8066379, s2 = 1099119, int(edited[s2]) = 0 s1 = 8066379, s2 = 1099119, d1 = 1, d2 = 1 Dl.O(d1) = 17373419,16102832,16102833,22238100,22516187,16342694,16342693,22516185,23634114,17318202,12193457,12193458,17318206,22692589,21080577,15142272,15142273,15142306,15142305,21080637,21081269,254581790,16329891,22503982,29865223,35174962,35174961,31069985,23586070,254347856,10756163,10756164,15551933,16356068,16356069,17259837,23570943,22015286,17282031,12160927,12152133,8182619,8182623,12152146,17272830,22506269,22499971,22499970,16330569,16330568,267888930,22512824,16339100,11368404,7552696,7552699,11368413,16339111,15735816,15735817,17539906,16325896,11358065,7546242,4772686,2876829,1669801,1669802,2876834,4772699,7546261,8343875,5385490,4613965,4613961,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197497,5238123,7305319,254348182,17260153,15990179,11100415,254394364,16350253,11377604,254133060,4779776,7558928,11357772,254104750,16329607,11360851,11360852,11361155,16329938,16338884,11368211,7552574,7552575,11360459,7549807,7549808,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551087,11365816,16335609,17284243,23596459,23362761,23362760,22510881,16337085,16337086,16336806,11366655,254532398,4775602,7551608,11366649,16336803,16803968,16803970,16804010,11750333,7845429,7845395,7845394,7551396,4775489,2878260,2878261,4775496,7124280,7124276,10782223,10453319,6890755,6890756,7551445,4775510,2878267,2878268,4775515,7551457,10693842,7064928,4448213,4448212,7064923,10693830,15465448,12020261,11366621,11366620,16336749,22510549,28547620,28547621,37047321,28548054,256315625,38431080,48335727,46925468,46925467,256114834,21323549,15351996,10605352,6997317,4397476,4397477,6997320,6997367,4397504,2635105,1521673,862745,862742,486914,486913,862740,1521664,2635087,254498391,10605305,15351926,17248082,17248081,15351911,15351912,255826057,37047311,28547603,28547602,37047206,28547619,28547618,23557505,17248270,17248269,23557504,28547453,21323288,21323287,28547445,23557502,268434021,31039479,39716856,257433307,268611257,28548035,31039305,23557206,23557207,31039307,38312612,38312611,31039406,31039405,28899309,21624140,15593523,15593524,21624142,27214657,20286264,14556370,10016254,10016253,14556369,20286261,27045648,27045650,28430641,21206794,15240542,10513596,10513597,15240544,21206796,28430643,29555139,22210327,22210328,29555141,31039606,23557508,23557507,31039603,38119246,29554147,22209347,22209346,29554145,31039471,23557363,23557362,31039470,31686834,39716945,38119243,38119242,46807627,46807626,39716944,38119464,29554372,29554371,38119463,48032613,50829801,40725761 Dl.O(d2) = 17373419,16102832,16102833,22238100,22516187,16342694,16342693,22516185,23634114,17318202,12193457,12193458,17318206,22692589,21080577,15142272,15142273,15142306,15142305,21080637,21081269,254581790,16329891,22503982,29865223,35174962,35174961,31069985,23586070,254347856,10756163,10756164,15551933,16356068,16356069,17259837,23570943,22015286,17282031,12160927,12152133,8182619,8182623,12152146,17272830,22506269,22499971,22499970,16330569,16330568,267888930,22512824,16339100,11368404,7552696,7552699,11368413,16339111,15735816,15735817,17539906,16325896,11358065,7546242,4772686,2876829,1669801,1669802,2876834,4772699,7546261,8343875,5385490,4613965,4613961,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197497,5238123,7305319,254348182,17260153,15990179,11100415,254394364,16350253,11377604,254133060,4779776,7558928,11357772,254104750,16329607,11360851,11360852,11361155,16329938,16338884,11368211,7552574,7552575,11360459,7549807,7549808,11360065,7547403,7547400,4773710,4773711,7548149,11284192,11284194,11052911,7328502,4629376,2788783,2788781,4629389,7328534,11052978,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551087,11365816,16335609,17284243,23596459,23362761,23362760,22510881,16337085,16337086,16336806,11366655,254532398,4775602,7551608,11366649,16336803,16803968,16803970,16804010,11750333,7845429,7845395,7845394,7551396,4775489,2878260,2878261,4775496,7124280,7124276,10782223,10453319,6890755,6890756,7551445,4775510,2878267,2878268,4775515,7551457,10693842,7064928,4448213,4448212,7064923,10693830,15465448,12020261,11366621,11366620,16336749,22510549,28547620,28547621,37047321,28548054,256315625,38431080,48335727,46925468,46925467,256114834,21323549,15351996,10605352,6997317,4397476,4397477,6997320,6997367,4397504,2635105,1521673,862745,862742,486914,486913,862740,1521664,2635087,254498391,10605305,15351926,17248082,17248081,15351911,15351912,255826057,37047311,28547603,28547602,37047206,28547619,28547618,23557505,17248270,17248269,23557504,28547453,21323288,21323287,28547445,23557502,268434021,31039479,39716856,257433307,268611257,28548035,31039305,23557206,23557207,31039307,38312612,38312611,31039406,31039405,28899309,21624140,15593523,15593524,21624142,27214657,20286264,14556370,10016254,10016253,14556369,20286261,27045648,27045650,28430641,21206794,15240542,10513596,10513597,15240544,21206796,28430643,29555139,22210327,22210328,29555141,31039606,23557508,23557507,31039603,38119246,29554147,22209347,22209346,29554145,31039471,23557363,23557362,31039470,31686834,39716945,38119243,38119242,46807627,46807626,39716944,38119464,29554372,29554371,38119463,48032613,50829801,40725761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8066379, s2 = 1099119, dlinesl.size( ) = 2 s1 = 8066379, s2 = 1099119, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8066379, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1099411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 818440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1101585, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7861677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7861677, s2 = 14111764, int(edited[s2]) = 0 s1 = 7861677, s2 = 14111764, d1 = 59, d2 = 45 Dl.O(d1) = 7114485,7113816,7113817,6973472,4380793,4380790,6973466,255027181 Dl.O(d2) = 156433511,143926559,143926560,262851715,167997201,156433521,143926565,143926564,156433519,263274937,273756071,187600828,195602662,263656861,263274939,262383575,143926567,130619005,116794099,260767497,143926568,156433523,167997204,178410318,187600823,187600827,263656857,187600820,178410316,273400351,262383575,143926567,130619005,116794099,102701414,88692200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7861677, s2 = 14111764, dlinesl.size( ) = 2 s1 = 7861677, s2 = 14111764, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7861677, Dl.E( ) = 60, 2.19e-05 seconds used appending s1 = 1142015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1142015, s2 = 14165371, int(edited[s2]) = 0 s1 = 1142015, s2 = 14165371, d1 = 0, d2 = 0 Dl.O(d1) = 21825763,29132856,31323424,31323859,25145311,18589496,18589493,25145306,21787307,21787309,23833501,29421528,37984321,30441020,30441018,37404348,47313543,39443926,39443925,254748450,18589341,13210116,9004901,5878330,3669921,2196657,1276172,1276170,2196654,3669914,5878310,9004856,13210043,268290195,15851002,15851003,21939091,21588245,21588244,254974614,35011381,26929619,26929618,35011380,44388820,55238437,67580580,81048461,95105875,109360048,95667345,81633892,68143786,55745935,256275020,27288208,20353333,14609597,10052769,10052770,10263381,10263383,14925518,18458775,13113209,8937216,254706284,18458776,24979776,26983859,254322252,31138931,33763909,25955328,20860760,14959200,10292114,10292115,10954583,15808483,20881438,267963778,10311444,10653846,14428118,9924787,9924788,13545312,9272989,6074111,6074112,9272992,13545314,18982045,21219035,21219034,255175282,15838302,21924075,29243584,37807844,47729713,269194128,37807840,37807839,37807840,29243580,29243581,37807842,47729711,50130461,40110061,31430457,23939242,23939241,21272517,21272516,28488648,36985442,46863929,58231855,70949086,84512726,98434184,112422502,126285182,261640801,152375534,164248163,175053910,184646869,193025278,193025275,184646868,175053908,164248158,152375530,139655062,126285176,112422498,98434180,84512721,70949083,58231854,46863926,36985438,28488646,21272515,15311406,10574740,254496729,2624286,1514593,858494,858495,1509035,2607789,1505068,853224,481880,481879,483507,272054,150810,150811,271774,271773,482996,855211,1508185,2612177,1515114,858871,858872,1515117,2624922,4357384,2610515,1631056,927513,927514,1631060,2811561,4666896,7387209,11137204,16039605,15256148,10525284,6941597,6941598,10525285,10521212,255022565,21219741,28445819,256846231,58189621,70902506,84458905 Dl.O(d2) = 21825763,29132856,31323424,31323859,25145311,18589496,18589493,25145306,21787307,21787309,23833501,29421528,37984321,30441020,30441018,37404348,47313543,39443926,39443925,254748450,18589341,13210116,9004901,5878330,3669921,2196657,1276172,1276170,2196654,3669914,5878310,9004856,13210043,268290195,15851002,15851003,21939091,21588245,21588244,254974614,35011381,26929619,26929618,35011380,44388820,55238437,67580580,81048461,95105875,109360048,95667345,81633892,68143786,55745935,256275020,27288208,20353333,14609597,10052769,10052770,10263381,10263383,14925518,18458775,13113209,8937216,254706284,18458776,24979776,26983859,254322252,31138931,33763909,25955328,20860760,14959200,10292114,10292115,10954583,15808483,20881438,267963778,10311444,10653846,14428118,9924787,9924788,13545312,9272989,6074111,6074112,9272992,13545314,18982045,21219035,21219034,255175282,15838302,21924075,29243584,37807844,47729713,269194128,37807840,37807839,37807840,29243580,29243581,37807842,47729711,50130461,40110061,31430457,23939242,23939241,21272517,21272516,28488648,36985442,46863929,58231855,70949086,84512726,98434184,112422502,126285182,261640801,152375534,164248163,175053910,184646869,193025278,193025275,184646868,175053908,164248158,152375530,139655062,126285176,112422498,98434180,84512721,70949083,58231854,46863926,36985438,28488646,21272515,15311406,10574740,254496729,2624286,1514593,858494,858495,1509035,2607789,1505068,853224,481880,481879,483507,272054,150810,150811,271774,271773,482996,855211,1508185,2612177,1515114,858871,858872,1515117,2624922,4357384,2610515,1631056,927513,927514,1631060,2811561,4666896,7387209,11137204,16039605,15256148,10525284,6941597,6941598,10525285,10521212,255022565,21219741,28445819,256846231,58189621,70902506,84458905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1142015, s2 = 14165371, dlinesl.size( ) = 2 s1 = 1142015, s2 = 14165371, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1142015, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10343957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14483607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14125285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14125285, s2 = 10143749, int(edited[s2]) = 0 s1 = 14125285, s2 = 10143749, d1 = 38, d2 = 22 Dl.O(d1) = 270804854,259297859 Dl.O(d2) = 254731272,6992798,4394599,2644437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125285, s2 = 10143749, dlinesl.size( ) = 36 s1 = 1108758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1110278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16042825, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14172640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8411639, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6591740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6591740, s2 = 12033551, int(edited[s2]) = 0 s1 = 6591740, s2 = 12033551, d1 = 11, d2 = 6 Dl.O(d1) = 256324511,21417793,15427528,255402713,28663325,256865107,256865109,271770806,98675653,112670266,126533033,260526795,259306139,71179313,71179314,84748037,98675646,112670260,98675651,98675647,98675646 Dl.O(d2) = 98675651,84748041,71179317,58457160,47079165,47079164,58457157,71179314,84748038,98675648,112670261,112670263,98675650,84748040,71179316,58457159,47079165,37184074,28663324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6591740, s2 = 12033551, dlinesl.size( ) = 2 s1 = 6591740, s2 = 12033551, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6591740, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15970885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15970885, s2 = 829422, int(edited[s2]) = 0 s1 = 15970885, s2 = 829422, d1 = 6, d2 = 0 Dl.O(d1) = 255298768,9621631,6320989,3962607,3962608,2377532,1376175,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376179,2377548,2377657,1376271,1376273,1377824,783855,444188,444191,783868,1377863,1377441,1377437,2379895,3972232,6333016,6332967,3972206,3972205,6332965,9634650,255712625 Dl.O(d2) = 21418653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15970885, s2 = 829422, dlinesl.size( ) = 2 s1 = 15970885, s2 = 829422, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15970885, Dl.E( ) = 8, 2e-05 seconds used appending s1 = 16221477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16221477, s2 = 10140530, int(edited[s2]) = 0 s1 = 16221477, s2 = 10140530, d1 = 5, d2 = 7 Dl.O(d1) = 741806,421547,421545,741758,1299894,2241812,3745186,5989481,9152142,268142505,25379424,257782709,52407205,64262392,77412095,91330676,105548348,119781475,133651322,133651321,133651322,133651320,133651319,138368611,124930529,111009149,96975725 Dl.O(d2) = 69510127,269489688,36028846,27695992,20623352,14789958,10172495,10172491,14789941,20518655,27536019,35430797,35430794,35673565,27634280,27634279,31650851,40341118,45264970,45264968,45565156,48418647,48418644,268328158,81364197,81364198,95409862,109646937,123821400,137533322,150555083,139011238,125672435,111856611,97922398,84051733,70516613,57815310,46459240,36593069,28120019,20942685,15034150,15034149,15034154,10361710,6825257,6825255,10284679,6802389,6802390,10334709,14994605,17200579,15005676,15005675,13297332,9079210,5937860,3712833,3712832,5937858,6786666,10296396,10304916,14972664,254911879,5940412,5940413,9082524,13300921,13561363,19002125,25615919,28687694,21437476,254730934,7051881,4438729,4438730,7051883,7010740,4407492,2642353,2642354,4407494,7010741,10622663,255398507,28577845,37082066,46963029,58330464,71045894,84609667,98534156,112528451,126398350,139773059,128245279,260562184,86385317,258717394,48654354,59065963,71806557,85394539,259961933,127198035,140543813,153225429,262686219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16221477, s2 = 10140530, dlinesl.size( ) = 2 s1 = 16221477, s2 = 10140530, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16221477, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 6481877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6481877, s2 = 14591498, int(edited[s2]) = 0 s1 = 6481877, s2 = 14591498, d1 = 45, d2 = 55 Dl.O(d1) = 255036325 Dl.O(d2) = 38758447,38758446,257561393,72813753,86408873,100365045,101217222,87216325,73594270,60844749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6481877, s2 = 14591498, dlinesl.size( ) = 46 s1 = 6592440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15723731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15723731, s2 = 11655391, int(edited[s2]) = 0 s1 = 15723731, s2 = 11655391, d1 = 16, d2 = 15 Dl.O(d1) = 9609876,13988923,19536771,26254940,34119823,34119824,39171976,30574218,254399354,11823416,7901413,5022629,3040233,3040236,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942956,8116300,8116304,9234640,13497848,15289136,15263008,10530971,6945151,4364492,4337583,4337581,6906046,9246852,9246854,13513875,17563523,21251770,28471910,36970285,46849098,58217027,70934301,84498489,98420204,112409129,126272180,139642838,152363600,164236660,261281646,184635958,262332646,200203359,206274136,211293313,215394407,218783052,221644413,221345332,218440184,214981908,210777212,205629673,199407498,192053850,183506691,173730916 Dl.O(d2) = 123950446,109812768,95609346,81575488,68085490,55687117,44778887,42626197,33601659,25804403,19157631,13679883,9368050,9368048,13679876,19157621,22731212,22731213,26254752,23730999,17406718,17406713,21500226,28759635,37293366,47201411,58592677,71326032,84899436,258768157,258768155,59700188,59700189,48313326,38402622,38402621,29830476,29830474,22463109,16294931,11337350,7533979,4765795,254357643,254167849,534636,299750,166031,254086693,534634,948351,1667296,2872864,4765774,7533935,10639215,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472386,28729972,37262074,36603049,28661675,24977520,24977521,254966932,28759695,28759693,37293421,33094496,25361142,18778620,13374064,13374065,18778621,25361144,30162954,30162953,24569044,24569045,32152534,40929926,51070312,42419676,33428932,255617518,13592486,9307108,9307107,10936695,15786680,21858900,29168176,256360721,31132021,31132020,39814183,47051732,58426512,71148223,84718164,72369428,59635320,48248258,38337670,38337669,48248256,257127210,48248259,59635321,52255228,41916991,32976812,25253921,25253922,25232306,18663456,18663458,255787961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15723731, s2 = 11655391, dlinesl.size( ) = 2 s1 = 15723731, s2 = 11655391, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15723731, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 14076261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14062859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062859, s2 = 11121728, int(edited[s2]) = 0 s1 = 14062859, s2 = 11121728, d1 = 119, d2 = 129 Dl.O(d1) = 257056320,268252906,19083966,20897975,25763724,22834729,16613582,14030463,9645858,9645860,255303465,13164641,13164640,255641179,256616465,38809878,48730197,42354064,33365350,256409813,22434919,16267126,11310023,7508892,7508890,9329297,9329299,13624326,19082909,25710020,33386507,31700124,24192029,19005819,13564397,9287225,6083957,3806856,3806857,2887946,2887945,4791033,7575032,11400116,16380278,22558638,22695526,256144515,256144513,29801107,29801106,32839850,33389927,31760819,25621107,19006838,19006837,25135661,18581834,255645201,30236809,22843599,16620589,16620588,15025685,10353544,10353545,15025689,11535479,11535480,16550149,16550962,22762689,16549916,16549917,256434411,256980264,16427631,11442951,255855218,997656,561900,561896,997601,1753434,1038617,584955,326804,326806,584959,1038624,254131315,591818,1052418,1837743,3111945,5122095,5124097,4756009,4756010,3122258,1824896,1824894,2818507,4678389,7405415,5166683,5130210,5130211,5146934,5146936,7522250,4756393,2866794,1663902,1663901,2866790,4756387,7522247,8056337,254824323,267903297,5158200,8064734,12007887,17077056,12009853,8067200,8067201,12009855,17071136,11982499,8031387,5228699,3190493,3190492,5228696,5165835,5165837,7525863,4759378,3112226,3112223,3101085,2867289,1664141,1664136,1048381,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693,588690,329263,329261,590202,583455,583458,1035539,1813415,3103540,3125206,5109272,5038589,5038590,3131619,3131617,5141423,4376478,4376479,2869373,2869374,2868824,1665000,1664999,2868820,1846821,1846822,3155783,5174304,7530028,7530027,11330506,8061962,8013884,5102385,3097205,1812950,1035263,583287,583286,1035261,1812946,3102861,4761106,7527788,8026238,5115367,5115366,5175213,5128991,5128992,8038719,11987554,11977699,11921575,7975817,5075516,4679466,2819213,2819216,4679475,7406564,5131722,3119697,3119695,3119703,3119705,5041094,5041093,7169118,4515204,4515202,7118692,7988872,7988875,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975675,11913066,7968946,5070439,5070440,7964838,5067124,3071075,1790814,1790815,3071077,5067127,7964843,11907850,15575014,15575013,17023564,11938572,7990012,7990011,11938571,16989059,16287324,11329951,7526971,4760326,4760328,7526975,11329956,12004541,12004542,16628001,16559077,11542106,7678816,4858806,4858807,7678817,7116196,4480522,4480523,7116199,10770325,11907846,16993388,21602650,16991055,16991054,12010953,8068794,5163069,5163071,5168396,8073978,254088048,15571756,10771028,10771027,15571755,21599403,28874758,29817367,33144030,30674651 Dl.O(d2) = 95143708,81086250,81086249,259785275,123589317,123589308,109397654,95143699,81086244,81086245,270658849,67620553,257308873,256218327,20092186,14405344,9908093,9908094,14405346,17378685,12246484,8271247,5368233,5368231,3323279,3323278,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,6898189,4330246,4330249,6898203,10465102,9797652,9797651,12639652,12639651,17848461,24218784,31191387,29696735,22343082,16194195,11257180,11257179,15847917,21935432,23715176,254495308,12248939,12248937,17382362,23705225,23729292,31213732,26980953,20092189,20092190,255269284,44438550,44765812,35339503,35064436,26980959,26980958,35064435,29578461,29578463,23916933,23916932,22230843,16096323,16096321,22230839,22343085,267823730,11257179,15847917,21935432,23715176,254495308,12248939,12248937,17382362,23705225,23729292,31213732,26980953,20092189,20092190,255269284,44438550,44765812,35339503,35064436,26980959,26980958,35064435,29578461,29578463,23916933,23916932,22230843,16096323,16096324,17381161,17381163,17582915,17582917,17409419,17409420,21935600,21935601,17548586,17472160,12318245,12318242,12263777,12262553,8281282,5342895,3283824,3283827,5342905,8281314,12262705,12264859,9988033,9988034,14515348,20228063,17565800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062859, s2 = 11121728, dlinesl.size( ) = 72 s1 = 693629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 693629, s2 = 7365151, int(edited[s2]) = 0 s1 = 693629, s2 = 7365151, d1 = 53, d2 = 34 Dl.O(d1) = 17686486,17686487,256031385,40227636,38670402,38670401,48586512,257324210,38656373,40305146,31616907,31616908,257089701,58645778,47252948,256335389,21538204,15522744,255411031,28804802,21538087,255843403 Dl.O(d2) = 265884077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 693629, s2 = 7365151, dlinesl.size( ) = 2 s1 = 693629, s2 = 7365151, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 693629, Dl.E( ) = 56, 1.81e-05 seconds used appending s1 = 1121607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1121806, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15679472, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8339748, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1126626, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15058810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15058810, s2 = 7993174, int(edited[s2]) = 0 s1 = 15058810, s2 = 7993174, d1 = 33, d2 = 26 Dl.O(d1) = 31822998,31822999,28262860,28262861,36758026,46643481,37192789,28670825,28670824,37192786,47088668,58466902,58881470,71417696,58881468,58881467,62029856,51667790,41425695,32565554,32565553,38669109,30091963,24913769,24913770,24913117,18407610,18407609,21322253,24913277,18407635,13074898,8909643,8909642,13074896,18407632,24912969,32565128,255808170,28920612,28920613,256114796,55620458,68008409,81492355,86321409,268906982,70570989,84107833,258015732 Dl.O(d2) = 77299157,91219644,105442218,119681092,105442221,105442220,119681090,261423741,159190493,273626008,189565096,180665245,170531576,170531575,263336115,180665247,189565097,197255456,274040677,265288207,265087924,264622389,274231333,223161148,265635819,223161149,223161150,274412854,265547757,227388250,265786927,274593954,274630140,265983846,265705670,224553629,222155471,219362438,219362439,222155473,274336158,264950234,215593011,218964042,218964047,215593013,211514133,206522564,200482854,193331217,193331216,200482852,206522562,206522566,200482864,263078132,273533323,184997877,175454975,175454974,272522924,261076974,262149400,263078128,184997894,175454997,175454998,175454996,164697943,152862856,261628902,175454994,184997893,193331233,200482863,200482856,193331220,272522928,271762712,140169316,258649754,98976714,85051672,71480274,255808172,28306941,255380068,29977743,29811711,256410835,38383961,37452365,37452364,256953095,38384439,43206053,34118836,26254108,255301479,256134147,25535921,33297806,42279114,52666446,53718711,47980994,38068804,29505412,22165541,22165540,26675941,19858669,14227596,14227595,19858668,26675938,19858690,19858689,26254137,19536191,13988533,13988532,19536186,21603883,21603881,28879443,37421310,40956668,32177843,32177842,35240331,37421492,37421491,39308572,47783418,37859408,34118953,26254208,26254206,25533515,25533514,26254475,19536391,19536390,26254470,34119294,43206506,34119328,26254498,26254496,34118879,36829677,36829675,34118958,34118957,30710845,29385373,29385372,37949960,34118989,34118988,34119179,34119177,39114176,39114177,37949951,29385369,29385370,35240368,27143864,26254517,22618172,16433497,11448601,11448602,16433501,22618177,28879627,28879628,30710857,30710855,39308590,46613715,36726198,34119406,26254554,19536438,13988669,9609710,6311899,3955935,2368978,2368977,3955930,6311889,9609687,13988628,19536361,268521509,53718685,53718705,65775908,79131034,70800433,58083747,46712189,36829718,28333356,28333339,21121646,21121645,28333346,29363074,255621818,47329831,47117028,37219652,37219653,31542367,31542368,40228772,268404668,29766117,29766116,25457931,25457930,33205207,36829694,28333331,28333332,33239766,25490251,18886427,18886426,25490249,33239763 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16188977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13389767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8222509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10166705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10166705, s2 = 6905737, int(edited[s2]) = 0 s1 = 10166705, s2 = 6905737, d1 = 0, d2 = 0 Dl.O(d1) = 113004133,99015399,99015400,99015401,85089849,71517309,58787254,47399049,37490588,28947892,21668370,21668371,28947894,37490592,47399053,58787253,71517308,259946495,99604825,85654806,72067417,72067416,85654804,99604824 Dl.O(d2) = 113004133,99015399,99015400,99015401,85089849,71517309,58787254,47399049,37490588,28947892,21668370,21668371,28947894,37490592,47399053,58787253,71517308,259946495,99604825,85654806,72067417,72067416,85654804,99604824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10166705, s2 = 6905737, dlinesl.size( ) = 2 s1 = 10166705, s2 = 6905737, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10166705, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1129040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1129040, s2 = 47201, int(edited[s2]) = 0 s1 = 1129040, s2 = 47201, d1 = 1, d2 = 2 Dl.O(d1) = 37504953,28961770,268620033,21679391,15640091,10823037,10823036,15640087,21679387,28953303,21672985,15635532,15635533,11844900,11844901,12050878,17146853,17197257,17197256,21672955,16924103,16924102,23190890,28959300,28959299,28953725,28953723,37496426,47404276,256302008,22073376,22073375,22074851,22075050,22075049,22074828,15969400,11084585,7350581,4642994,4642995,7350584,11084589,11084642,7350615,7350614,11084638,15969475,22074938,29405595,37969656,29405675,22075031,15969535,15969534,22075029,29405613,28961344,28961343,37504431,46756076,36877300,28380919,21163439,21163440,17197275,12092759,8132246,6916492,6916490,10489492,15206934,21163430,28380901,29405605,22074949,15969490,11084652,7350620,7350621,11084657,15969423,11084598,7350592,4642998,2796707,1622287,922526,520092,291573,270542,149978,82506,45143,25072,14025,14027,25079,31188,31187,55297,100261,182814,331878,182764,182765,331882,595231,1058514,1058521,1622049,1622455,2602433,1854598,1500869,850644,850643,1500866,1854606,3167745,4346116,4346115,6918164,4346480,2603018,1502050,1502051,2603023,2796119,2602055,1501356,850941,480607,480606,850936,1501351,2602048,4345268,3167034,3167036,3167116,3167629,2602010,1501319,850918,480593,480594,595212,1058479,1058486,1058485,1854529,3167646,5191260,5190858,3167243,2801977,1625372,1625369,2801974,4651640,7364104,11104301,11104996,7364728,4652214,4652215,7364732,7364759,7364761,10492343,6918799,5601207,5601206,4652478,4652477,3484297,3484298,5605401,4652953,4652945,4652944,7331885,5601250,5601249,8616835,11106115,11106116,12686834,8617790,8617791,10492340,7365692,5190637,3167054,1854063,1854064,3167059,5190641,7364769,4652247,2802516,1626027,924599,521220,292172,292173,521224 Dl.O(d2) = 3484144,5603815,8619650,5609807,5609806,254284699,1187763,1187764,2068775,3484187,4321752,6884549,5603903,5603350,5603349,8617553,5610610,5605436,5605437,8620299,5609050,3483381,3483380,3478099,2063949,1187057,666883,666882,1187055,1187296,2068191,3477546,2063500,254284051,5601867,5607247,3484715,3484520,2069013,1187905,1187903,2065647,3480316,254422975,3484106,3481966,2066885,1186405,666487,369684,369683,666484,1186395,1186390,1186389,2066865,3481944,2066942,2066940,3481973,3481972,5607042,8623886,8624144,5607290,5607289,8621461,12691111,12694693,8624085,5607207,5607206,8624082,12690707,267916819,5605082,254422659,3481695,5606878,5607259,3482008,2066911,1186421,1186420,2066906,3482002,5607249,8624114,12694714,12694571,8623972,5607113,5607112,8623906,5607057,3481840,2066786,1186348,666463,369673,254108557,1186350,2066789,3481844,5607064,8623914,5607219,5607140,3481909,2066825,2066823,3481903,5607136,7152553,7152552,7152588,4504283,2706801,2706800,4504279,3481884,2066818,2066819,2066797,1186354,1186355,2066801,3481865,4504254,4504253,4504526,4504524,7152884,10823113,15639913,15639912,10822942,7152692,4504359,4504356,7152687,10822878,7152725,4504390,4504391,7152730,10822999,12694516,12694517,15639890,21679163,21679155,15639901,12694529,8623925,8623924,5607130,3481898,3481899,5607134,8623997,10822840,7152831,4504471,4504271,2706795,2706796,4504274,7152583,10822867,8623938,5607075,3481851,2706788,1568609,1568607,2706783,4504261,4504286,7152593,5609028,5609030,8626453,12697643,15639414,10823003,7152739,4504393,2706895,2706894,2706891,1568675,1568674,2706890,1568805,1568806,2707047,4504566,7152939,10823228,15640338,21679722,28961772,37504954,47412485,58799381,71528462,85099811,269403664,60107349,48712205,38790262,30205543,255190236,11574235,7704074,7704075,11574237,16595549,22813941,22813934,16595544,14092271,9692689,9692690,11023841,7298610,5574143,5574141,8578978,12635130,12635335,17842951,17843410,17843409,24211091,31718478,40410305,43369660,254785018,22782381,16566997,11548355,254359874,16566623,267791358,30170852,38753777,34265165,26388027,19653637,14087305,14087306,9695169,6376454,6376455,9695172,14096289,19655035,19655036,26389398,26790740,25369061,25369060,30169426,24821775,18330284,18330283,17122113,12032527,12032528,17122121,19663022,17121179,12031780,12031781,11838961,7912054,7912059,8527083,11838766,7911947,5029772,5029773,4448607,4448611,7065557,10694865,15467083,17329815,12204766,12204765,12724750,12724754,17118860,12030007,8087581,8087582,8090407,8089126,8089127,8089108,8089110,11496151,11415034,11415036,16398557,19936018,19936014,16428554,16428551,19654829,19654830,16582906,11621125,11621127,16653726,21104157,21198153,15233755,15233754,20833061,27997297,36455704,46308553,57653294,70343856,83869113,97728066,111648804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1129040, s2 = 47201, dlinesl.size( ) = 2 s1 = 1129040, s2 = 47201, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1129040, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 15413501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1130853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 845048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9735951, s2 = 11421158, int(edited[s2]) = 0 s1 = 9735951, s2 = 11421158, d1 = 32, d2 = 21 Dl.O(d1) = 24237582,31748693,30209136,30209135,36972351,28474247,21254597,15290057,15290056,21254595,28474244,23176049,16911681,16911682,23176055,30594925,33104533,42053666,42306618,42306619,36985070,28488249,21272168,15311143,15311142,21272164,28488242,255027334,15745552,10905035,255055847,21806661,29105054,37654396,37654405,29105066,21806655,21806656,29105068,37654357,29105013,21806614,21806613,21806645,15745539,15745538,21806642 Dl.O(d2) = 210645365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9735951, s2 = 11421158, dlinesl.size( ) = 30 s1 = 15799983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15799983, s2 = 14162157, int(edited[s2]) = 0 s1 = 15799983, s2 = 14162157, d1 = 21, d2 = 16 Dl.O(d1) = 239430761,238824445,238164463,237439346,266653788,235763957,234800621,266313804 Dl.O(d2) = 21810244,15748284,10906998,7213592,4545029,2732203,2732201,4545017,7213564,8345461,12352165,17516410,23859836,31353349,268996171,39846669,39846670,268444160,17356688,17357135,12227337,8255394,5325624,5325623,8255391,12227328,17357119,23677274,31165470,26055550,26055549,33878592,255705694,15399613,10643573,7027199,7027197,10643572,15399612,21382240,28618807,37130577,47018027,258674451,84669153,87903960,74300184,61522248,50042588,257377928,8340110,254778860,2674922,2674921,4452576,7072119,10704595,15479864,21483577,23788838,17457714,12307123,12307122,17457711,19851918,19851917,26667810,34660045,43933529,38368701,38368700,39950065,31275096,30858736,30858735,39463385,49391757,39950211,31275228,25927398,25927399,19881668,19881666,26702674,34697196,257381083,257381081,70229911,258231513,49580653,39606639,30965778,23509284,23509285,30965746,30965750,39606581,34960695,26883272,26883273,34879076,26822167,19957008,14290004,14290008,9830880,6458010,4047975,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269039,19922223,26501426,19908973,14261190,14261187,19909002,26750023,34779741,43285354,52239935,41903041,41903046,52239923,52238838,52238840,44111621,254702260,34892775,254994096,268893320,258493987,93979991,257347498,109058126,255347910,254699558,44104178,34883052,26824696,26819546,19955524,14289426,14289430,9830798,6457982,4047982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15799983, s2 = 14162157, dlinesl.size( ) = 2 s1 = 15799983, s2 = 14162157, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15799983, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 16260925, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13215247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13215247, s2 = 2175505, int(edited[s2]) = 0 s1 = 13215247, s2 = 2175505, d1 = 14, d2 = 19 Dl.O(d1) = 4551843,4551842,7224010,7224219,4552026,4551614,4551615,4913387,4551259,4551258,4550718,2735477,1585017,901085,508272,285004,267744211,901090,1585022,2735488,4550735,7222610,4555123,2738558,1586816,902042,508769,508768,902039,1586810,2738545,4555102,2738865,2738866,4237145,4237147,6761298,7232260,4558727,2741185,2741186,4558731,7232266,10928034,7229296,7229006,7229004,10927791,10928032,7229288,4556217,2739358,2739359,2735991,2735990,4551444,2737741,1586321,254121887,285204,157617,86672,47621,26593,15047,15049,26605,47643,86719,157690,285352,508941,509450,902378,902386,902388,1587397,1585278,901221,508341,254121811,254230333,2737349,2737348,4553364,4559314,2741610,1588805,903173,509386,509385,903170,1588800,2741601,1588811,1588809,2737418,1586119,901664,901665,1586122,2737426,1588124,902807,902804,1588118,2740527,4557811,4557827,4557829,7228281,254751321,7221222,4549849,4549850,7221223,255056979 Dl.O(d2) = 260559313,272212414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13215247, s2 = 2175505, dlinesl.size( ) = 32 s1 = 1466096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16187072, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10341567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341567, s2 = 10564674, int(edited[s2]) = 0 s1 = 10341567, s2 = 10564674, d1 = 30, d2 = 23 Dl.O(d1) = 2750815,2749572,2749574,4571055,4571142,4571143,4568740,4568739,2748479,1592991,1592992,1593566,1593244,905766,905764,1593236,2748853,4570032,7244895,10947909,15800468,21875602 Dl.O(d2) = 255196931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341567, s2 = 10564674, dlinesl.size( ) = 14 s1 = 13258537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14490821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14490821, s2 = 13423146, int(edited[s2]) = 0 s1 = 14490821, s2 = 13423146, d1 = 2, d2 = 0 Dl.O(d1) = 40571646,40571647,33646165,33646167,42675425,53126167,258440685,71170958,58448706,47071694,37178152,28658963,28658965,37178156,40570751,40570750,50612723,62112271,58448661,50612738,50612737,258302527,53126195,53126196,62112714,53127095,257509576,42675895,49821338,39800540,31119982,23633401,23633402,31119988,39800546,49821348,50613141,50613414,40571428,31868802,24345686,24345685,31868796,40571420,50613408,62112350,62112349,66065649,72636333,258781269,86238980,269891653,50612721,257693193,257693195,74916609,74082183,61300981,61300982,73558169,65111912,65111911,78394733,258698870,87175802,88555562,74917231,62113199,62113200,74917233,78394671,258302623,62113112,65095942,53126129,42675399,33646153,33646152,42675398,257231323,33646248,33646247,25843370,25843371,33646906,257231409,42676473,53126549,256673879,25843074,33646472,42675815,53126553,65112061,55091534,55091535,58920407,47539012,37633309,29083230,21785590,15727024,15727023,21785587,29083225,37633303,47539003,58920396,71641645,71641644,85206969,99129760,113120618,113120619,113120621,99129773,99129774,113120626,112952116,102561646,102561647,116660227,261332981,140551846,153233361,147889936,140551859,127205732,127205731,119352894,105154648,90968055,86600652,73003161,60268208,60268210,73003165,85647949,92431864,87971382,74369325,71861658,68223570,55796940,257272574,27298924,27298926,35430665,43218873,38956410,30370296,22968833,16733018,11690369,11690370,16733020,22968836,30370301,256156650,15836136,10974070,10974069 Dl.O(d2) = 47724961,59123158,71861671,71861699,59880523,48488968,48488967,59880522,71861738,59123210,47724995,37803473,37803445,29239681,29239682,37803447,47724951,59123150,71861660,85446823,71861768,71861767,85446919,85446984,85446985,72060881,268503438,59216209,256156626,99489542,111837058,100246228,95351461,81295254,67829436,55488318,44638376,35253929,27155030,256232621,44638379,55488325,67829447,81295265,95351472,85446938,71861803,71861801,85446949,81188830,67724843,67724844,72618962,59880546,59880548,71861632,59880556,48488989,38575847,30005116,22635267,16447430,16447429,22635266,30005113,38575839,48488977,59880534,60793157,49392554,49392553,269527794,87158753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14490821, s2 = 13423146, dlinesl.size( ) = 2 s1 = 14490821, s2 = 13423146, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14490821, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 15861355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11708680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6484026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6484026, s2 = 16225220, int(edited[s2]) = 0 s1 = 6484026, s2 = 16225220, d1 = 25, d2 = 29 Dl.O(d1) = 255064399,21942095 Dl.O(d2) = 240400167,240889967,241343700,241764007,242152199,242152197,242152198,242511988,242846614,243158203,243450492,243722346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6484026, s2 = 16225220, dlinesl.size( ) = 2 s1 = 6484026, s2 = 16225220, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6484026, Dl.E( ) = 42, 1.81e-05 seconds used appending s1 = 16036235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16036235, s2 = 4401420, int(edited[s2]) = 0 s1 = 16036235, s2 = 4401420, d1 = 68, d2 = 92 Dl.O(d1) = 255536170 Dl.O(d2) = 263369060,182745359,172845597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16036235, s2 = 4401420, dlinesl.size( ) = 38 s1 = 15067363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1148308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1148308, s2 = 8116954, int(edited[s2]) = 0 s1 = 1148308, s2 = 8116954, d1 = 142, d2 = 97 Dl.O(d1) = 29359623,22528832,16356126 Dl.O(d2) = 13966798,13966799,19512257,26227439,34088602,28384185,21810516,15748505,10907155,7213689,7213690,10907157,15748508,17307310,23621855,29109501,21810552,15748529,255049702,29109498,37659323,29109492,21810548,21810549,29109494,28384205,21166279,15209264,15209265,21166282,28384208,21195172,15231463,10507084,10507086,15231469,16798913,16798915,23044663,30452969,39042338,48963570,40148833,256025605,17620046,23969557,31465213,40148831,50174404,58503966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1148308, s2 = 8116954, dlinesl.size( ) = 2 s1 = 1148308, s2 = 8116954, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1148308, Dl.E( ) = 154, 6.1e-05 seconds used appending s1 = 10332773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10332773, s2 = 9355342, int(edited[s2]) = 0 s1 = 10332773, s2 = 9355342, d1 = 13, d2 = 19 Dl.O(d1) = 11477684,16473233,22668873,30044369,37572985,29026221,254745904,47478722,58667801,255858700,34061400,43138254,49401823,39473299,37590228,29042852,21750157,15697281,10866445,10866448,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,40437071,50468131,58872313,60644017,71578102,71578103,58870391,47489016,47489015,58870386,47495355,47495354,47481671,37575814,29028686,21738092,21738093,29028689,37575821,47481677,58863992,71587261,85154757,85155875,71589721,71589720,71576187,255856634,255856636,61966667,50471665,50471664,57873774,46518210,36651174,28175471,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488138,58869568,47488127,47488126,58869567,71592082,58872212,58855529,58855528,71580798,85149934,268928416,73986387,61207243 Dl.O(d2) = 47493106,58873705,71595196,71583191,58859040,58856097,47472221,37565619,37565620,31745562,24235203,24235202,31745560,40439880,50476708,61970160,58686729,48540032,40439932,31745588,31745587,37573985,29027148,21736897,21736898,29027153,37573995,35237248,27141432,20233558,14519234,14519235,20233563,16874387,12190527,8220674,5290543,5290545,8220677,12190534,16656939,11624536,7891014,7891013,11812720,12196022,12196019,11425030,7594633,7594632,11425026,16408699,22591326,22469642,16300928,11342203,11342207,16300922,22469628,24239184,17863894,17863896,24239194,19361669,19361668,26040076,19361773,13848984,9500445,6231379,3901376,3901375,6231373,9500429,13848955,19361726,255011232,15959981,11076835,255072911,22064611,29394983,37259681,28727778,28727777,255591834,24262364,17886648,17886650,17884289,17884287,255201500,23975177,17627127,12447311,8415613,8415614,12447315,17627134,23975196,31471272,33217427,33217428,255094024,42053261,42053263,47401202,42052461,33103377,25368666,18784788,13379307,13379308,11555646,7689379,7689380,11555648,15022036,11624381,7742678,4902823,4865804,2932026,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957839,4352000,4351943,2606373,1504087,1504086,1701165,967079,967078,1701158,2931420,4864833,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,4796196,2891087,1678057,1678054,2891076,4796170,6866436,4811954,2900025,1682534,1682535,2749705,1682515,1682517,2899981,2950964,2950962,4896535,7734197,7588297,4799823,2893078,254537905,11417647,16401379,22583858,29946891,268552070,37397763,31104075,23619201,22105196,15994271,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,22105235,28438077,36937554,255807234,28855797,37396612,36937757,28438288,28438289,36937759,46816098,47307234,268972620,49256851,57805971,46450076,46450074,57805970,47917127,38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438016,29437910,22104958,15994141,15994143,22104968,23617353,23618460,23618459,23616875,23616874,28855758,31100894,31102032,31102034,23617775,23617777,31102234,31100390,23616498,23616495,31100380,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,48348637,38446427,31101923,23617565,23617567,22413757,16249270,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,38000455,47916441,38350489,37396982,37396981,38043288,38043287,256478642,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,21077842,21077843,28283101,33202702,33202700,33208235,25460467,18860450,13437678,13437679,13437503,9187091,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252526,3760235,6012344,9186218,13436133,18858099,255896977,16108417,16108418,22245400,29593996,38160309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10332773, s2 = 9355342, dlinesl.size( ) = 2 s1 = 10332773, s2 = 9355342, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10332773, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 15909317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13469609, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8653556, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7991220, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15346389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15346389, s2 = 6648441, int(edited[s2]) = 0 s1 = 15346389, s2 = 6648441, d1 = 6, d2 = 0 Dl.O(d1) = 272270982,87846196,269871597,256517499,23808429,31294091,268994613,54700822,47735144,37812932,29248233,268557672,20267621,20267622,27192004,28007868,267818640,22199426,16070355,11158876,255078865,22199428,29542703,38105960 Dl.O(d2) = 22199429,22199428,29542703,38105959,256931043,59403335,72133767,85718310,99665817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15346389, s2 = 6648441, dlinesl.size( ) = 2 s1 = 15346389, s2 = 6648441, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15346389, Dl.E( ) = 8, 2.19e-05 seconds used appending s1 = 6553162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553162, s2 = 8727665, int(edited[s2]) = 0 s1 = 6553162, s2 = 8727665, d1 = 14, d2 = 39 Dl.O(d1) = 255893355,22205731 Dl.O(d2) = 23014510,16776589,16776590,23014853,23014606,16774815,16774700,11728191,11728192,11728202,7829886,7829888,11728210,11729648,11729646,11729659,7830897,7830896,7830878,4970714,254248407,990767,990769,1743623,3002322,4970724,7830895,11728310,11728384,11728198,7829884,7829883,11728195,255127557,7830867,4970707,3002313,3002314,4970710,7830870,7829818,7829820,11728138,16774658,22204164,16774937,254807573,4970243,3002042,3002041,4970239,7830095,11728308,255510959,11729618,7830874,7830876,11729620,7830908,4970731,3002329,3002331,4970719,7830889,11729649,11728247,11728248,11728144,7829826,267834961,3001894,4970031,5687029,254625577,12845627,12845629,18115722,23016863,16776625,16776615,11729679,11729680,16775105,11728626,7830254,7830255,7830258,11728593,11728594,15143425,15143426,21082314,23014871,22204144,22204145,29547764,29547770,22204150,22204149,23014694,23014696,22004345,15903692,11025358,255067855,22004346,29335531,24552498,18115687,12845599,12845600,18115689,24552490,18115667,12845574,8735387,8735388,12845576,18115672,23016948,30422290,23016954,16776692,16776693,23016956,22004342,255879169,37904310,30419785,23014881,255455591,11162339,7404087,4677504,2817936,1743493,1743494,3002132,4970350,4970349,7830240,11728597,16775076,18115763,12845682,8735465,8735464,11162337,11162335,16074581,12845592,8735397,5687011,3537807,3537808,5687015,8735401,7830945,4970750,3002340,3002341,4970753,7830950,8074964,12016063,255442393,24552546,18115759,18115760,16775095,11728613,11728614,15903682,16775085,12845667,8735454,5687051,3537826,3537825,5687048,5687071,4970368,4970362,4970363,5687059,267920191,12845694,18115773,16776690,16776689,15903697,15903696,22004350,22004343,17075499,14518375,14518371,14518362,14518363,14518368,268177407,11729727,7830943,7830942,7905089,8074961,11162238,11025374,7299672,7299671,11025373,15903712,16544240,16775090,268125921,8735481,5687065,5687064,8735451,12845663,16775124,11728641,7830264,7830263,11728636,16775115,22204154,24297103,17914580,17914579,24297102,29335534,29335533,35235184,27139805,20232351,14518379,9990010,6565779,6565777,9990006,11162257,11162258,16074471,16074432,11162218,7404012,7404013,7404038,11162256,11025391,7299679,4604306,2770780,2770779,4604302,7299675,11025377,11163287,11163288,16076088,18115776,12845700,8735474,8735475,12845702,12845686,8735471,8735472,12845690,18115771,24297110,17914585,12692199,8622213,254422589,3480875,5605826,8622206,12692187,17914571,24297098,29335559,22204289,16074491,11162271,7404043,4677483,2817923,1634806,929667,929666,1634801,2817916,4677467,7403990,11162187,14483411,11025386,11025381,11025380,11025531,7299757,7299755,4677788,4677789,7404626,11163039,11163040,16075690,22205731,255893353,258121139,85722450,262228283,176059073,263538815,200876756,264561492,177757637,271858810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6553162, s2 = 8727665, dlinesl.size( ) = 12 s1 = 15088455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11133402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133402, s2 = 13901090, int(edited[s2]) = 0 s1 = 11133402, s2 = 13901090, d1 = 61, d2 = 65 Dl.O(d1) = 106167481,99716797,85762797,72168639,59430051,48037969,38124712,256390449,22213714,22213713 Dl.O(d2) = 181160463,190014972,197651187,204152635,209576732,214027548,217681620,220730970,223325787,225568458,227518678,229224138,230731635,232075259,233285322,234380744,235376830,236284610,237113795,237870539,238559575,239191441,238777423,238112829,237382578,236578964,235696819,234726624,233662221,232492007,231197669,229754568,228128370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133402, s2 = 13901090, dlinesl.size( ) = 20 s1 = 8577713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 868509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13212893, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6715274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6715274, s2 = 11452460, int(edited[s2]) = 0 s1 = 6715274, s2 = 11452460, d1 = 26, d2 = 22 Dl.O(d1) = 257642070 Dl.O(d2) = 185584759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715274, s2 = 11452460, dlinesl.size( ) = 18 s1 = 787040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 787040, s2 = 1358154, int(edited[s2]) = 0 s1 = 787040, s2 = 1358154, d1 = 35, d2 = 39 Dl.O(d1) = 20195464,20195465,22289631,22289629 Dl.O(d2) = 53823612,43298417,34200345,26327160,19599969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 787040, s2 = 1358154, dlinesl.size( ) = 2 s1 = 787040, s2 = 1358154, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 787040, Dl.E( ) = 64, 2.19e-05 seconds used appending s1 = 1163498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7561230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1136007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6439941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6439941, s2 = 2524033, int(edited[s2]) = 0 s1 = 6439941, s2 = 2524033, d1 = 45, d2 = 24 Dl.O(d1) = 254437164,7711933,7711934,7412335,7412336,7509006,10836288,7163142,4511516,2710974,2710972,4511513,4511876,4510345,4510346,7161280,10833426,15651732,21633847,15602467,15602466,21633844,21696661,21436164,15924079,11046858,11046859,15656883,11265459,255089725 Dl.O(d2) = 71814489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6439941, s2 = 2524033, dlinesl.size( ) = 18 s1 = 874716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15400225, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7857800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7857800, s2 = 11161112, int(edited[s2]) = 0 s1 = 7857800, s2 = 11161112, d1 = 17, d2 = 33 Dl.O(d1) = 23066248,23066247 Dl.O(d2) = 257038005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7857800, s2 = 11161112, dlinesl.size( ) = 44 s1 = 1169987, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14920508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 878402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16257131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16257131, s2 = 16071107, int(edited[s2]) = 0 s1 = 16257131, s2 = 16071107, d1 = 84, d2 = 62 Dl.O(d1) = 273677319,205549139,210703522,214913949,210703520,210703519,264925239,264925241,218378107,218378106,218378108,274521972,227829563,265956337,274622221,233467712,234549289,266487725,235496698,234509563 Dl.O(d2) = 211563686,206580291,263230384,185083226,175550580,164802854,152973975,140284157,126936593,113083597,99096410,85174695,71610082,58890278,47510730,37606213,29057305,21762169,21762168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16257131, s2 = 16071107, dlinesl.size( ) = 10 s1 = 879564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 879564, s2 = 13808132, int(edited[s2]) = 0 s1 = 879564, s2 = 13808132, d1 = 9, d2 = 38 Dl.O(d1) = 22457110 Dl.O(d2) = 261971764,208082651,202312118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 879564, s2 = 13808132, dlinesl.size( ) = 12 s1 = 11111242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111242, s2 = 9739404, int(edited[s2]) = 0 s1 = 11111242, s2 = 9739404, d1 = 62, d2 = 93 Dl.O(d1) = 7512661,4749111,4749110,7512659,11314571,16271902,16294433,16294431,22462498 Dl.O(d2) = 214723549,210480368,205287030,199012185,191591804,182958493,262580052,149624850,136358815,122374501,260403702,93510386,79373451,257914226,43407536,34306142,269193584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111242, s2 = 9739404, dlinesl.size( ) = 28 s1 = 6424436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6424436, s2 = 13315088, int(edited[s2]) = 0 s1 = 6424436, s2 = 13315088, d1 = 2, d2 = 31 Dl.O(d1) = 254184794 Dl.O(d2) = 254553050,17071224,254369640,11985923,8036259,5156015,5156014,254821867,5106752,5106753,5131806,8041418,11989650,16728543,22964865,17100017,12014189,8072339,8072340,11986723,11686162,11686163,14348680,12014127,12010321,11996145,8048238,8048239,9857575,8158140,5229108,3190894,3190891,2428902,2428903,4058041,6475656,9858094,9857397,9857398,9857427,6475110,6475111,9857442,7793768,4941678,4941679,7793771,9858045,7787793,4937507,4937508,7787803,7793256,4941355,4941354,7793253,11686456,11686104,11686105,16728764,17929575,17929574,24315524,22964996,16728700,11686032,11686031,16728695,20030980,14347884,9857960,9857959,14347882,16721904,11680293,11680292,255508088,16719845,20031433,26915763,26916113,20031809,14348807,9858804,9858803,254552282,4937861,4935890,4935889,4941532,4941535,7793528,11686824,11686887,15982173,11095156,11095157,11685997,11685998,16728657,16729894,11915517,11915516,14348307,9858342,7792912,4941147,2981724,2981723,4941142,7792905,11685842,7792774,4941055,4941056,7792777,11676057,7784785,7784784,9858828,14348843,11679427,11679426,16721071,16667810,16667809,12002776,8056701,8056703,11094963,15981938,17095721,22967948,16732171,267767790,7795903,11689591,16732168,22967946,254369764,16668864,14519531,11634445,11634039,11634040,15982034,11095043,11095041,11675857,16717673,16667770,11633550,7750154,4908252,4908251,7750147,7792901,7792900,11686017,16713946,16713945,22950780,30352478,23188159,254580858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6424436, s2 = 13315088, dlinesl.size( ) = 2 s1 = 6424436, s2 = 13315088, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6424436, Dl.E( ) = 36, 2.22e-05 seconds used appending s1 = 9736257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 882997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7244717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 796128, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14845991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14860807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14860807, s2 = 15295238, int(edited[s2]) = 0 s1 = 14860807, s2 = 15295238, d1 = 35, d2 = 2 Dl.O(d1) = 59723907,59723908,72459656,73280048,60535653,49135515,39208572,30612384,23192651,16925615,11846074,11846075,16925619,23192658,30612393,39208582,33366069,25601902,18989672,13550526,13550527,18989674,25601904,26057908,33881830,33968419,29984018,22616848,22616847 Dl.O(d2) = 146758715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14860807, s2 = 15295238, dlinesl.size( ) = 2 s1 = 14860807, s2 = 15295238, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14860807, Dl.E( ) = 38, 1.29e-05 seconds used appending s1 = 8384336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8384336, s2 = 12936711, int(edited[s2]) = 0 s1 = 8384336, s2 = 12936711, d1 = 43, d2 = 14 Dl.O(d1) = 258154643,29984730,29984731,29984729,22617482,16432767,16432766,20928094,20928095,22587020,22587019,22587020,16404440,11420547,11420546,16404439,22587018,22788204,22788205,22617493,16432772,16432770,22617489,29984736,22893760,22893759,29965710,22600857,22600856,20928092,20928093,16404438,11420544,11420545,7605824,7605826,11438257,16405596,11421775,11421774,13343849,255655167,33051309,29950705,22587017,22587018,268642781 Dl.O(d2) = 181283010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8384336, s2 = 12936711, dlinesl.size( ) = 2 s1 = 8384336, s2 = 12936711, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8384336, Dl.E( ) = 44, 2.88e-05 seconds used appending s1 = 14056475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 811749, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14501237, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8198025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8198025, s2 = 14043751, int(edited[s2]) = 0 s1 = 8198025, s2 = 14043751, d1 = 8, d2 = 8 Dl.O(d1) = 19778834,26582161,34568326,26581979,19778740,19778739,26581977,34568323,43839955,34569005,26582516,19779048,19779049,14574555,10028938,6591107,6591108,10028941,14574562,20308955,27239300,20309082,20309081,27239527,26582018,19778760,19778761,26582022,27239329,27239330,34568580,43840273,34568868,26582279,26582278,34568864,43840610,35362431,35362430,44786553,54584871,43839967,34568332,26581981,26581982,34568337,43839976,34568806,34568369,34568343,26581986,26581987,34568349,43839991,43840216,34568526,34568305,26581966,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304493,28526415,35362626,27239534,27239533,34568600,34568599,26582285,19778909,19778911,26582294,34568900,43840666,54585393,54585152,43840346,43840345,44438629,35064522,35064523,34568446,34568447,43840119,54584992,54585287,44786401,35362322,35362323,44786453,43840129,34568455,34568453,27126829,27126827,35220373,34568638,34568637,43840351,54585159,44786409,35362294,34568955,34568954,34568537,26582080,26582078,34568441,34568931,26582502,26582503,34569221,43840633,43840188,34568549,34568550,43840242,43840648,34568892,34568893,43840652,54585380,66844552,66844878,59736360,48352617,38450663,38450662,44438627,43840108,43840107,49147639,43840638,43840639,35219855,35219854,44600692,35219953,35219954,35220387,27126833,20222003,20222004,27126838,35220392,44601359,47261908,55450371,55450269,55450271,55449974,55449973,59736383,72471731,59736412,48352701,38450729,38450728,48352693,43840718,34568951,29893840,22538774,16364138,11387945,11387944,16364133,22538760,27126787,27126786,35220316,44601300,55450362,255983372,44601456,44601455,55450305,44601164,35220194,28813079,28813078,35220205,35220206,44601183,55450301,55450298,58652999,47261196,37351760,28813073,28813074,37351764,30833643,23404870,23404869,30833640,39437660,39437760,47759105,47759104,43862028,43862029,39437129,37351659,37351658,38807436,30224367,22832341,22832340,30224362,38807431,37351687,37351688,38487304,29926581,22566480,22566481,29926601,38487336,48390497,59773584,71190796,59157739,58652944,58652943,53145697,53145696,47261115,47261116,51363382,51363351,51363350,58469085,71190869,84759507,98686907,268975458,71388082,71388081,58652985,268664362,60768153,49365575,49365574,60768152,70972363,58256662,46889555,46889554,58256661,58468959,47091067,37195299,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,37195339,37195338,47091123,256485262,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,21425523,28673210,37195531,47091326,41777491,256107897,25150087,32856907,41777489,47805183,58469008,47805191,257496035,46484455,41777621,41777620,36618023,28144181,256285115,46484464,48220044,47091287,37195484,28673170,21984509,15888528,11014149,11014148,15888522,21984480,22430953,16263603,11307622,7507456,7507455,11307617,11307642,16263655,22431039,29797580,38370303,32856959,29797558,22431030,16263648,16263647,22431024,29797566,30315042,30315041,38901658,41777618,37881517,29312552,255441299,11014160,254518255,2766076,254518257,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467910,12049405,12049407,17145061,23422070,255386546,49384980,60785705,71276805,71276801,71276800,58545217,58545216,268830164,55254795,44407024,35032004,28294683,21087549,21087550,28294685,255753146,28294686,28294675,27112261,20211118,14503062,14503063,20211121,27112266,35202133,44580290,55427271,58052167,48661350,48661351,48661348,48525246,38609904,30035773,29531552,22188771,22188770,29531550,38095601,38609961,38609959,48525288,59918563,72658387,86258642,100224807,99482103,85535781,71948087,59209406,47810616,47810617,59209407,65567032,53542169,43062954,43062953,53542166,65567029,59599460,48212046,38302018,254878162,16220757,16220758,17915854,12693162,12693160,17915847,24294358,24294360,31809520,38349087,29777086,29777085,22412703,16248496,11296517,7500069,4740933,4740934,7500071,11296521,8627258,8627257,12697039,17920449,17143104,12048128,12048129,12698702,17922633,24306835,23142479,23142480,30559553,36833305,30557554,23140154,23140153,20193499,14489004,9969163,9969164,14489009,20193512,23140430,23140429,17915907,12693210,12693212,16880185,11810025,8625795,8625793,8099934,8099933,5604784,5604783,8620780,12690265,16248470,16248472,22412670,23140076,16879878,16879880,11809767,7888497,7888498,11809771,12697060,8626057,8626054,12697053,17920481,22417071,16251780,11298744,7501431,7501434,11298747,16251783,17920154,17920155,24303818,23138481,16878200,16878201,254283968,16636148,16636147,254283966,35180987,27092276,27092275,35180986,31820221,24303802,17920141,12696739,8625819,5608587,5608588,8625820,12696741,17920144,24303805,22077431,22077432,29298955,29298954,28877123,268103724,268428480,46836872,48392751,39244404,30648781,23227012,16953732,11866137,7930701,7930702,11866140,16953737,23227024,30648807,28458471,21232865,15263470,10531318,10531319,15263475,21232871,28458479,36913780,36913781,39016705,48939913,48392970,48392969,59775873,48392898,48392897,59775871,72510076,60568369,49169441,49169440,48392719,38489987,29929400,22569075,16388153,254783793,7579368,7579315,7579314,7579387,4794074,4794075,7579390,11405960,16388227,22569165,29929533,37974514,29411006,22080485,15974893,11089596,254349946,2798564,1623419,1623421,2798571,4645914,7354674,11089629,11808569,11299310,7501881,7501880,11299307,16252471,11811397,11299103,7501720,4741966,4741967,7501725,5009212,5009210,5009293,3028902,1762405,1762406,3028904,4492016,2698766,1658617,1658616,2857863,4492005,2698758,2698757,4492000,7135012,7891236,5012119,3030761,3030763,5012124,7891247,255133975,10798817,10798816,15608727,11811302,11298991,11298992,7501860,5009221,5009220,7501831,11299250,7501844,4742027,2857868,1658622,1658623,2857872,4491991,4491992,7135007,7890126,5011160,3030057,3030056,5011153,5190333,3166820,1853908,1853907,3166816,5190327,8101308,255149919,16252387,11299228,11299229,11808290,7887297,5009232,3028857,3028855,5009231,7887294,11808281,11103537,7363483,7363484,11103539,15994807,16878491,16878490,23138740,23138728,23138727,255260469,13423604,16883247,11812809,7891090,254812557,16883241,23143298,23138613,16878348,11808322,11808323,16878351,23138617,28246492,21046582,15117434,15117435,21046585,28246496,30557384,23143294,23143295,30560296,254721084,30557079,255811498,23043661,16798051,16798052,22105992,22105993,23138457,16878173,15117433,15117431,21046579,255382706,21494433,21494434,28753767,30556022,23138612,23138611,23040094,23040093,30447892,38355576,36742457,28246629,21046685,15117503,15117504,15117487,10427325,10427324,15117485,21046650,21046510,255804313,36728087,36742285,28246484,21046577,21046575,17662846,17662847,24009371,31509083,38531994,46630153,39041252,36728095,28234187,21036742,21036740,28234185,29966112,23039987,16795197,16795198,21046546,28246428,30451870,30451869,39041277,36742083,28246301,21046445,15117337,10427256,10427257,6874804,4315678,2581195,2581194,254490171,10427329,9764518,9764516,14204208,19828754,26641390,28246408,30559496,254491154,28341943,28341944,31884291,24357462,24357461,31884286,255807716,54647539,47803961,37880292,29311477,29311479,36742408,33070095,33070092,30866239,23437433,17162826,15117451,10427308,10427309,15117456,21046610,21046613,28246533,36742269,36742270,34632505,34632506,43905183,43932314,34659072,256201304,256033920,21046689,28246635,34632509,43905189,46630130,36742310,28246510,21046593,15117444,10427304,10427305,15117446,21046597,21567847,28839377,26641893,26641834,21562515,15541166,10748243,7101122,4470971,2686226,1556066,884705,499202,499205,884680,1555993,2686071,4470704,7100685,8081176,10449540,15151694,15543405,14433693,14433692,15543413,10749862,7102213,7102212,10749860,12350159,15544663,11304127,7505002,4782527,4782528,7563628,11384749,9007709,9007710,13214343,15545741,21560368,21567106,16343976,11372224,11372220,15546623,10752722,10752721,15547144,14485283,14485282,20188651,16338097,11367616,7552234,4775962,2878507,1670583,1670584,2878513,4775970,7552242,11367631,7562269,7562268,11382475,16356157,20124620,14493239,14493240,14485395,267754788,27086841,31071997,254347296,29345424,29746272,22386952,22386950,29746268,38314948,267907934,22502453,16328156,16328155,254834510,16328089,16328092,16348860,22514058,22528374,16761107,11713944,7815669,4958247,4958248,7539587,4769341,2875179,2875182,4769354,7539617,9930120,12196440,12196444,14221776,14221778,14435184,9929673,6525822,6524096,6524097,9926766,14221748,9777073,6428488,6428489,9777076,11370235,11370233,16274275,16274278,14431300,9926927,9926928,7888221,7888220,11809414,16879579,22528504,21979227,21979229,23607461,17294809,17294808,23139820,17319486,17319487,22523380,23637446,17321886,12197006,12173571,8205662,8205659,12173563,17294788,17293092,12171939,11360757,8248935,8248933,12218687,11360905,7547967,5283047,3236160,3236162,5283055,8211851,12179965,12349462,8343616,8343618,12349468,17512981,20199104,20199105,22481628,17301986,17301985,23615075,23633681,17330149,17330148,20123875,23604723,22007715,15906712,15906713,17514029,17276288,12155859,8223249,5293477,5293476,8223247,12190918,8221125,5291038,3242379,3242380,5291040,8219683,8219681,12189306,17313805,22494620,20124961,14433192,9928277,9928276,12157130,11750237,7845355,7845356,11750243,14431550,11348099,7540695,7540696,7544324,11354797,12168617,12168615,17289595,20125012,16788158,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814884,15628601,16323799,22497891,29860895,29860896,31084626,29860727,23376878,17107108,12021173,8080875,8080874,11356270,7545113,4772102,2876542,1669667 Dl.O(d2) = 19778834,26582161,34568326,26581979,19778740,19778739,26581977,34568323,43839955,34569005,26582516,19779048,19779049,14574555,10028938,6591107,6591108,10028941,14574562,20308955,27239300,20309082,20309081,27239527,26582018,19778760,19778761,26582022,27239329,27239330,34568580,43840273,34568868,26582279,26582278,34568864,43840610,35362431,35362430,44786553,54584871,43839967,34568332,26581981,26581982,34568337,43839976,34568806,34568369,34568343,26581986,26581987,34568349,43839991,43840216,34568526,34568305,26581966,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304493,28526415,35362626,27239534,27239533,34568600,34568599,26582285,19778909,19778911,26582294,34568900,43840666,54585393,54585152,43840346,43840345,44438629,35064522,35064523,34568446,34568447,43840119,54584992,54585287,44786401,35362322,35362323,44786453,43840129,34568455,34568453,27126829,27126827,35220373,34568638,34568637,43840351,54585159,44786409,35362294,34568955,34568954,34568537,26582080,26582078,34568441,34568931,26582502,26582503,34569221,43840633,43840188,34568549,34568550,43840242,43840648,34568892,34568893,43840652,54585380,66844552,66844878,59736360,48352617,38450663,38450662,44438627,43840108,43840107,49147639,43840638,43840639,35219855,35219854,44600692,35219953,35219954,35220387,27126833,20222003,20222004,27126838,35220392,44601359,47261908,55450371,55450269,55450271,55449974,55449973,59736383,72471731,59736412,48352701,38450729,38450728,48352693,43840718,34568951,29893840,22538774,16364138,11387945,11387944,16364133,22538760,27126787,27126786,35220316,44601300,55450362,255983372,44601456,44601455,55450305,44601164,35220194,28813079,28813078,35220205,35220206,44601183,55450301,55450298,58652999,47261196,37351760,28813073,28813074,37351764,30833643,23404870,23404869,30833640,39437660,39437760,47759105,47759104,43862028,43862029,39437129,37351659,37351658,38807436,30224367,22832341,22832340,30224362,38807431,37351687,37351688,38487304,29926581,22566480,22566481,29926601,38487336,48390497,59773584,71190796,59157739,58652944,58652943,53145697,53145696,47261115,47261116,51363382,51363351,51363350,58469085,71190869,84759507,98686907,268975458,71388082,71388081,58652985,268664362,60768153,49365575,49365574,60768152,70972363,58256662,46889555,46889554,58256661,58468959,47091067,37195299,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,37195339,37195338,47091123,256485262,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,21425523,28673210,37195531,47091326,41777491,256107897,25150087,32856907,41777489,47805183,58469008,47805191,257496035,46484455,41777621,41777620,36618023,28144181,256285115,46484464,48220044,47091287,37195484,28673170,21984509,15888528,11014149,11014148,15888522,21984480,22430953,16263603,11307622,7507456,7507455,11307617,11307642,16263655,22431039,29797580,38370303,32856959,29797558,22431030,16263648,16263647,22431024,29797566,30315042,30315041,38901658,41777618,37881517,29312552,255441299,11014160,254518255,2766076,254518257,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467910,12049405,12049407,17145061,23422070,255386546,49384980,60785705,71276805,71276801,71276800,58545217,58545216,268830164,55254795,44407024,35032004,28294683,21087549,21087550,28294685,255753146,28294686,28294675,27112261,20211118,14503062,14503063,20211121,27112266,35202133,44580290,55427271,58052167,48661350,48661351,48661348,48525246,38609904,30035773,29531552,22188771,22188770,29531550,38095601,38609961,38609959,48525288,59918563,72658387,86258642,100224807,99482103,85535781,71948087,59209406,47810616,47810617,59209407,65567032,53542169,43062954,43062953,53542166,65567029,59599460,48212046,38302018,254878162,16220757,16220758,17915854,12693162,12693160,17915847,24294358,24294360,31809520,38349087,29777086,29777085,22412703,16248496,11296517,7500069,4740933,4740934,7500071,11296521,8627258,8627257,12697039,17920449,17143104,12048128,12048129,12698702,17922633,24306835,23142479,23142480,30559553,36833305,30557554,23140154,23140153,20193499,14489004,9969163,9969164,14489009,20193512,23140430,23140429,17915907,12693210,12693212,16880185,11810025,8625795,8625793,8099934,8099933,5604784,5604783,8620780,12690265,16248470,16248472,22412670,23140076,16879878,16879880,11809767,7888497,7888498,11809771,12697060,8626057,8626054,12697053,17920481,22417071,16251780,11298744,7501431,7501434,11298747,16251783,17920154,17920155,24303818,23138481,16878200,16878201,254283968,16636148,16636147,254283966,35180987,27092276,27092275,35180986,31820221,24303802,17920141,12696739,8625819,5608587,5608588,8625820,12696741,17920144,24303805,22077431,22077432,29298955,29298954,28877123,268103724,268428480,46836872,48392751,39244404,30648781,23227012,16953732,11866137,7930701,7930702,11866140,16953737,23227024,30648807,28458471,21232865,15263470,10531318,10531319,15263475,21232871,28458479,36913780,36913781,39016705,48939913,48392970,48392969,59775873,48392898,48392897,59775871,72510076,60568369,49169441,49169440,48392719,38489987,29929400,22569075,16388153,254783793,7579368,7579315,7579314,7579387,4794074,4794075,7579390,11405960,16388227,22569165,29929533,37974514,29411006,22080485,15974893,11089596,254349946,2798564,1623419,1623421,2798571,4645914,7354674,11089629,11808569,11299310,7501881,7501880,11299307,16252471,11811397,11299103,7501720,4741966,4741967,7501725,5009212,5009210,5009293,3028902,1762405,1762406,3028904,4492016,2698766,1658617,1658616,2857863,4492005,2698758,2698757,4492000,7135012,7891236,5012119,3030761,3030763,5012124,7891247,255133975,10798817,10798816,15608727,11811302,11298991,11298992,7501860,5009221,5009220,7501831,11299250,7501844,4742027,2857868,1658622,1658623,2857872,4491991,4491992,7135007,7890126,5011160,3030057,3030056,5011153,5190333,3166820,1853908,1853907,3166816,5190327,8101308,255149919,16252387,11299228,11299229,11808290,7887297,5009232,3028857,3028855,5009231,7887294,11808281,11103537,7363483,7363484,11103539,15994807,16878491,16878490,23138740,23138728,23138727,255260469,13423604,16883247,11812809,7891090,254812557,16883241,23143298,23138613,16878348,11808322,11808323,16878351,23138617,28246492,21046582,15117434,15117435,21046585,28246496,30557384,23143294,23143295,30560296,254721084,30557079,255811498,23043661,16798051,16798052,22105992,22105993,23138457,16878173,15117433,15117431,21046579,255382706,21494433,21494434,28753767,30556022,23138612,23138611,23040094,23040093,30447892,38355576,36742457,28246629,21046685,15117503,15117504,15117487,10427325,10427324,15117485,21046650,21046510,255804313,36728087,36742285,28246484,21046577,21046575,17662846,17662847,24009371,31509083,38531994,46630153,39041252,36728095,28234187,21036742,21036740,28234185,29966112,23039987,16795197,16795198,21046546,28246428,30451870,30451869,39041277,36742083,28246301,21046445,15117337,10427256,10427257,6874804,4315678,2581195,2581194,254490171,10427329,9764518,9764516,14204208,19828754,26641390,28246408,30559496,254491154,28341943,28341944,31884291,24357462,24357461,31884286,255807716,54647539,47803961,37880292,29311477,29311479,36742408,33070095,33070092,30866239,23437433,17162826,15117451,10427308,10427309,15117456,21046610,21046613,28246533,36742269,36742270,34632505,34632506,43905183,43932314,34659072,256201304,256033920,21046689,28246635,34632509,43905189,46630130,36742310,28246510,21046593,15117444,10427304,10427305,15117446,21046597,21567847,28839377,26641893,26641834,21562515,15541166,10748243,7101122,4470971,2686226,1556066,884705,499202,499205,884680,1555993,2686071,4470704,7100685,8081176,10449540,15151694,15543405,14433693,14433692,15543413,10749862,7102213,7102212,10749860,12350159,15544663,11304127,7505002,4782527,4782528,7563628,11384749,9007709,9007710,13214343,15545741,21560368,21567106,16343976,11372224,11372220,15546623,10752722,10752721,15547144,14485283,14485282,20188651,16338097,11367616,7552234,4775962,2878507,1670583,1670584,2878513,4775970,7552242,11367631,7562269,7562268,11382475,16356157,20124620,14493239,14493240,14485395,267754788,27086841,31071997,254347296,29345424,29746272,22386952,22386950,29746268,38314948,267907934,22502453,16328156,16328155,254834510,16328089,16328092,16348860,22514058,22528374,16761107,11713944,7815669,4958247,4958248,7539587,4769341,2875179,2875182,4769354,7539617,9930120,12196440,12196444,14221776,14221778,14435184,9929673,6525822,6524096,6524097,9926766,14221748,9777073,6428488,6428489,9777076,11370235,11370233,16274275,16274278,14431300,9926927,9926928,7888221,7888220,11809414,16879579,22528504,21979227,21979229,23607461,17294809,17294808,23139820,17319486,17319487,22523380,23637446,17321886,12197006,12173571,8205662,8205659,12173563,17294788,17293092,12171939,11360757,8248935,8248933,12218687,11360905,7547967,5283047,3236160,3236162,5283055,8211851,12179965,12349462,8343616,8343618,12349468,17512981,20199104,20199105,22481628,17301986,17301985,23615075,23633681,17330149,17330148,20123875,23604723,22007715,15906712,15906713,17514029,17276288,12155859,8223249,5293477,5293476,8223247,12190918,8221125,5291038,3242379,3242380,5291040,8219683,8219681,12189306,17313805,22494620,20124961,14433192,9928277,9928276,12157130,11750237,7845355,7845356,11750243,14431550,11348099,7540695,7540696,7544324,11354797,12168617,12168615,17289595,20125012,16788158,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814884,15628601,16323799,22497891,29860895,29860896,31084626,29860727,23376878,17107108,12021173,8080875,8080874,11356270,7545113,4772102,2876542,1669667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8198025, s2 = 14043751, dlinesl.size( ) = 2 s1 = 8198025, s2 = 14043751, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8198025, Dl.E( ) = 10, 1.31e-05 seconds used appending s1 = 6521684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6521684, s2 = 6796631, int(edited[s2]) = 0 s1 = 6521684, s2 = 6796631, d1 = 18, d2 = 5 Dl.O(d1) = 255527888,29941496,29941497,22675138,22675139 Dl.O(d2) = 258625356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6521684, s2 = 6796631, dlinesl.size( ) = 2 s1 = 6521684, s2 = 6796631, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6521684, Dl.E( ) = 44, 1.88e-05 seconds used appending s1 = 14922706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7828088, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6654040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10340377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10340377, s2 = 14510511, int(edited[s2]) = 0 s1 = 10340377, s2 = 14510511, d1 = 31, d2 = 2 Dl.O(d1) = 50249657,50249658,60353162,59323496,49814647,39793955,31113382,23626841,17310974,12186735,8217100,5287028,3238892,1900203,1900204,3238896,3238864,1900188,1084649,1084651,1900192,3238870,5286978,8217023,8475739,5478735,254409390,254188076,24041417,31544769,38789181,30204412,22813064,22813065,30204414,37028915,28530862,21308339,21308340,28530867,26907756,268116012,37405670,47314431,38017555,38017554,39793478,31112918,31112919,30206586,30206585,38791272,40234308,36949768,255190630,255726930 Dl.O(d2) = 38759095,48680757,60077057,259418201,258799430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10340377, s2 = 14510511, dlinesl.size( ) = 2 s1 = 10340377, s2 = 14510511, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10340377, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 7926663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7926663, s2 = 13222505, int(edited[s2]) = 0 s1 = 7926663, s2 = 13222505, d1 = 41, d2 = 32 Dl.O(d1) = 8062795,5155706,267796121,1835825,3139405,5109468,3102405,3102406,4679040,2818962,2818961,4679037,7406030,5147283,3132029,3132027,5147277,5161833,3151580,1843914,1843913,3151478,3151479,5169448,5227703,3189460,3138287,3103918,1843376,1843377,1833313,1833311,3116937,1821565,1039876,1039873,1821554,3116914,254525879,4678447,3151710,1844000,1052244,591733,267769943,8078800,5173812,3155365,3155366,5135068,5155701,5172622,7521889,4755994,2866478,1663699,1663697,2866468,4755979,7521870,11325547,8075989,5170977,3152953,3152950,5163154,5163153,8068872,8077326,5172273,254377478,254376928,11982113,11982114,17018596,254130244,16990715,12017407,8076799,5171934,5171936,8076802,7975378,7975377,8076778,8076779,12017382,11330810,11330809,254102976,10770442,11946441,11921553,7975792,5075499,5075235,5075233,7975361,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077678,3068720,3068721,5064468,7961515,7987080,5083323,5083325,7987084,8655863,5630196,5630198,4744588,4744589,7505924,7505923,11305499,267900910 Dl.O(d2) = 15909345,15909346,254837662,17336546,17336547,267842252,254506674,9929131,10453237,11365747,11365748,16335506,22509091,29749279,23589185,17277397,17277398,17300047,12178067,8209716,8187667,5257220,5257221,8187672,12157062,17277439,23589232,20126288,20126291,21101530,17318864,12194126,8224477,8224476,12194134,10960867,10960866,14945574,20846038,20846039,16712481,16371859,16371857,22547991,16803652,11750430,11750301,7845396,7845394,7551396,4775489,2878260,2878261,4775496,7124280,7124276,10782223,10453319,6890755,6890756,7551445,4775510,2878267,2878268,4775515,7551457,10693842,7064928,4448213,4448212,7064923,10693826,10979529,15843720,19262167,13766584,9436149,9436148,7544138,4771620,4771621,7544143,11354443,16320406,15923944,11046687,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,16004889,22118094,23888042,23888041,31384622,29854832,29854833,29845416,29413737,22083458,15977548,15977547,22083456,29413736,22777402,16562199,16562200,22777405,254347574,254347572,8289789,5347873,5347872,7543148,7543147,11352645,10587111,10587112,15328540,16323344,22497425,29351329,22488386,16315617,11351397,11351395,16315611,22485042,22491160,16317923,16317922,15330628,15330625,11040246,11040247,11347084,11347082,11383558,7562943,7562942,11383552,16357661,16318321,16318322,22491621,29355169,29351955,22530173,22530172,22019192,22019193,29350795,29349899,29349900,29349907,29349908,37918419,255068566,29350927,29350928,37919022,267992666,22479934,22479935,22476186,22476183,29843129,29355183,22024370,22024371,255069440,35355148,27232079,20302946,14570243,10026196,267842154,4128350,6589521,10026201,14570246,20302952,27086472,254581074,9966223,9966222,14484878,16346021,11373827,11373828,16346023,22519444,268640125,29883330,22528170,16355422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7926663, s2 = 13222505, dlinesl.size( ) = 2 s1 = 7926663, s2 = 13222505, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7926663, Dl.E( ) = 52, 3e-05 seconds used appending s1 = 13236877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10175329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8072219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8072219, s2 = 11585126, int(edited[s2]) = 0 s1 = 8072219, s2 = 11585126, d1 = 47, d2 = 38 Dl.O(d1) = 22639662,22639054,16450135,16450136,22639057,30010150,29217301,21902950,21902949,29217297,30009486,30012109,38584220,35118716,27031939,20139244,14445341,14445338,20139232,27031928,22638875,16450022,11461563,7623662,4823453,4823451,7623653,11461544,16449982,22638822,25960290,19295275,16451184,16449918,16449920,16451172,22640517,25960033,21900022,21900021,29214223,22639013,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542359,28008638,30009399,35126862,44504496,38579721,38579720,48493617,51995778,51995777,47093016,37197251,28674865,21426939,21426940,28674866,30010682,22639453,22639451,22885872 Dl.O(d2) = 266436017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8072219, s2 = 11585126, dlinesl.size( ) = 28 s1 = 654440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 654440, s2 = 8121560, int(edited[s2]) = 0 s1 = 654440, s2 = 8121560, d1 = 22, d2 = 38 Dl.O(d1) = 16705113,255123773,11665017,16705094,22940671 Dl.O(d2) = 58367459,46997340,37111820,28602749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 654440, s2 = 8121560, dlinesl.size( ) = 2 s1 = 654440, s2 = 8121560, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 654440, Dl.E( ) = 48, 3.1e-05 seconds used appending s1 = 10160751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10160751, s2 = 6712566, int(edited[s2]) = 0 s1 = 10160751, s2 = 6712566, d1 = 13, d2 = 5 Dl.O(d1) = 255393140,21480609,21480608,28738342,31400796,31400794,254805214,49966165,50102337,42170661,254650450,18862828,17812935,13440566,13440567,18863500,13486491,12579118,8532489,8532490,12579120,11744529,11744528 Dl.O(d2) = 257613005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10160751, s2 = 6712566, dlinesl.size( ) = 2 s1 = 10160751, s2 = 6712566, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10160751, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 14083627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1201523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1201523, s2 = 15968593, int(edited[s2]) = 0 s1 = 1201523, s2 = 15968593, d1 = 15, d2 = 75 Dl.O(d1) = 30419036 Dl.O(d2) = 219087914,221914859,265712707,226447527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1201523, s2 = 15968593, dlinesl.size( ) = 2 s1 = 1201523, s2 = 15968593, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1201523, Dl.E( ) = 76, 2.41e-05 seconds used appending s1 = 1201556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9383600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9383600, s2 = 906218, int(edited[s2]) = 0 s1 = 9383600, s2 = 906218, d1 = 3, d2 = 1 Dl.O(d1) = 53107889,53107890,65094872,257423808,53107888,58459284,48972834 Dl.O(d2) = 23053626,23053627,30461581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9383600, s2 = 906218, dlinesl.size( ) = 2 s1 = 9383600, s2 = 906218, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9383600, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16229323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16229323, s2 = 10685464, int(edited[s2]) = 0 s1 = 16229323, s2 = 10685464, d1 = 47, d2 = 53 Dl.O(d1) = 175005930,262641613 Dl.O(d2) = 258460566,52519149,42160919,33201051,25454382,25454381,33201050,33200974,25454317,255261491,13434399,18855648,18855796,255261525,13434611,18855790,25454319,25454318,33200976,33201098,33201096,42160886,33201256,25454534,18855827,18855828,25454536,33201260,33201254,33201255,42161123,52519354,64393407,61848103,50363652,40336348,31647744,24141481,24141482,256544545,50363655,61848105,74640745,88271251,102269583,116363304,260874016,112741158,98751534,84826822,84826823,98751536,112741157,98751539,84826827,84826826,84826818,84826819,98751530,98751541,84826829,71255285,58525809,58525810,71255286,84826830,98751542,258044028,80220477,66793369,54544218,47139306,47139305,52385161,257433952,91311095,89405438,256316154,62700195,256855366,89405436,77392088,71013663,71013664,71062266,58346003,46976721,46976722,58346006,71062269,84625820,86545265,86545262,86545263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16229323, s2 = 10685464, dlinesl.size( ) = 2 s1 = 16229323, s2 = 10685464, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16229323, Dl.E( ) = 54, 3.5e-05 seconds used appending s1 = 1204258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13782383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9699234, s2 = 8120620, int(edited[s2]) = 0 s1 = 9699234, s2 = 8120620, d1 = 11, d2 = 9 Dl.O(d1) = 259457197,260029389,114826771,100774526,86793519,73181066,257585975,39101271,30526138 Dl.O(d2) = 40199544,40199542,40199543,268915904,50221771,61703415,257071656,86465746,72870212,60133508,48738757,255177262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699234, s2 = 8120620, dlinesl.size( ) = 2 s1 = 9699234, s2 = 8120620, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9699234, Dl.E( ) = 18, 1.41e-05 seconds used appending s1 = 14032180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14032180, s2 = 8022436, int(edited[s2]) = 0 s1 = 14032180, s2 = 8022436, d1 = 6, d2 = 6 Dl.O(d1) = 5711816,5711817,268011933,18182133,15859871,10992602,10992604,15859879,21950096,23126756,16866970,11840701,7913253,5030500,3045213,1773564,1773563,3045209,5030489,5030475,5030474,7913216,10669757,7046967,7046966,10669753,7912983,267987035,16918070,23183438,255918729,16380449,11400256,7575126,4791089,2887973,2368704,1371207,1371205,2368699,3955430,6310978,8478745,5480659,3372542,3372546,3372592,3372671,1984642,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515559,10664862,10664861,15426951,17694226,12514880,8478456,8478457,12514888,14582971,10034450,6594517,6594518,10034455,13803010,13803009,19304801,21416808,15426904,10664830,7043399,4432608,2661075,2661074,3838925,6136050,9367729,13679404,19156977,19334992,24568955,21958568,15868023,14581049,10033188,10033193,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741278,12854416,254966646,32152147,38376429,37293396,37293397,47201429,58592692,63085306,60521672,60521671,73266709,68101530,269174838,255449610,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,7819411,4961458,4961460,7819417,10033880,6594203,4131222,4131221,3668112,3668114,5874647,7768630,7768629,11657213,16696514,16696501,16696500,21689509,21689510,19303773,19303774,22931046,22931047,27247108,35371349,28941299,23113891,23004781,23004782,29708413,26255110,19536937,13989041,13989043,16826996,15869770,15626615,15626614,15866145,10996849,7279742,4591123,2762239,1601326,910622,910621,1601535,2762692,4591550,7280593,10998398,15868545,16045311,16045310,17463187,12311225,11140705,11140706,10024638,6588564,6588563,10024270,14567779,20300150,20300517,15580125,15580126,17658265,15580295,10777705,7121238,4483689,2693950,1560690,1560691,2693959,4483750,7121339,10777884,255414995,16663349,16663350,20302090,27231339,21608417,21608415,255518324,37430190,28888475,28888474,28888247,21612129,15582906,15582907,15582914,10779762,10779763,15583039,21612211,15583099,10779808,7122686,7122687,10779811,7434159,4697723,4697725,7434165,255083599,15482590,10706538,7073359,4453277,4453278,7073349,10706515,15482558,21486995,16128888,11204204,11204205,15482691,10706591,7073385,4453289,4453290,7073387,10706596,15482537,15482539,15582426,15582424,21609015,21609016,22001943,22001929,15901919,11204167,7434335,4697808,2830447,1642189,933786,526248,294870,294871,254123965,1642195,2830457,4697826,7434378,11204252,16128826,22270260,29621565,31501747,24003332,24003331,31501745,29621561,22270252,255083619,7434330,7434331,11204159,16128816,22268948,267890408,7434037,7434038,11203582,7434358,4697820,4697811,4697812,7434340,11204177,16128840,22270268,29621571,255132992,38187223,29620299,254558468,254771395,4697736,4697738,7434189,11107539,254173668,15077746,15077745,20991329,28172302,22111445,15999430,11107422,7366846,4653979,2803766,2803765,4653977,7366841,11107415,254250112,7882310,11801725,16870880,23131273,30549426,254557882,255132914,257008525,52311646,42767721,33737843,33737842,42767720,34574096,34574097,43845587,46785688,55709110,68106141,63338149,51613967,41387922,32537414,24892098,24892096,23772128,17443356,12295930,12295931,17443358,23772134,256387086,13773074,13773073,19268988,25930985,33737841,29039118,21746889,15695085,10865160,7183666,4525673,2720462,1576423,896252,896253,1576425,267826715,7183668,10865161,15695087,21746890,29039120,37586550,268414420,59633407,270325296,70572537,57871029,57871028 Dl.O(d2) = 5711816,5711817,268011933,18182133,15859871,10992602,10992604,15859879,21950096,23126756,16866970,11840701,7913253,5030500,3045213,1773564,1773563,3045209,5030489,5030475,5030474,7913216,10669757,7046967,7046966,10669753,7912983,267987035,16918070,23183438,255918729,16380449,11400256,7575126,4791089,2887973,2368704,1371207,1371205,2368699,3955430,6310978,8478745,5480659,3372542,3372546,3372592,3372671,1984642,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515559,10664862,10664861,15426951,17694226,12514880,8478456,8478457,12514888,14582971,10034450,6594517,6594518,10034455,13803010,13803009,19304801,21416808,15426904,10664830,7043399,4432608,2661075,2661074,3838925,6136050,9367729,13679404,19156977,19334992,24568955,21958568,15868023,14581049,10033188,10033193,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741278,12854416,254966646,32152147,38376429,37293396,37293397,47201429,58592692,63085306,60521672,60521671,73266709,68101530,269174838,255449610,11766888,10997177,9319000,9318998,10996823,7279693,4591810,4591808,7281070,7281083,7819411,4961458,4961460,7819417,10033880,6594203,4131222,4131221,3668112,3668114,5874647,7768630,7768629,11657213,16696514,16696501,16696500,21689509,21689510,19303773,19303774,22931046,22931047,27247108,35371349,28941299,23113891,23004781,23004782,29708413,26255110,19536937,13989041,13989043,16826996,15869770,15626615,15626614,15866145,10996849,7279742,4591123,2762239,1601326,910622,910621,1601535,2762692,4591550,7280593,10998398,15868545,16045311,16045310,17463187,12311225,11140705,11140706,10024638,6588564,6588563,10024270,14567779,20300150,20300517,15580125,15580126,17658265,15580295,10777705,7121238,4483689,2693950,1560690,1560691,2693959,4483750,7121339,10777884,255414995,16663349,16663350,20302090,27231339,21608417,21608415,255518324,37430190,28888475,28888474,28888247,21612129,15582906,15582907,15582914,10779762,10779763,15583039,21612211,15583099,10779808,7122686,7122687,10779811,7434159,4697723,4697725,7434165,255083599,15482590,10706538,7073359,4453277,4453278,7073349,10706515,15482558,21486995,16128888,11204204,11204205,15482691,10706591,7073385,4453289,4453290,7073387,10706596,15482537,15482539,15582426,15582424,21609015,21609016,22001943,22001929,15901919,11204167,7434335,4697808,2830447,1642189,933786,526248,294870,294871,254123965,1642195,2830457,4697826,7434378,11204252,16128826,22270260,29621565,31501747,24003332,24003331,31501745,29621561,22270252,255083619,7434330,7434331,11204159,16128816,22268948,267890408,7434037,7434038,11203582,7434358,4697820,4697811,4697812,7434340,11204177,16128840,22270268,29621571,255132992,38187223,29620299,254558468,254771395,4697736,4697738,7434189,11107539,254173668,15077746,15077745,20991329,28172302,22111445,15999430,11107422,7366846,4653979,2803766,2803765,4653977,7366841,11107415,254250112,7882310,11801725,16870880,23131273,30549426,254557882,255132914,257008525,52311646,42767721,33737843,33737842,42767720,34574096,34574097,43845587,46785688,55709110,68106141,63338149,51613967,41387922,32537414,24892098,24892096,23772128,17443356,12295930,12295931,17443358,23772134,256387086,13773074,13773073,19268988,25930985,33737841,29039118,21746889,15695085,10865160,7183666,4525673,2720462,1576423,896252,896253,1576425,267826715,7183668,10865161,15695087,21746890,29039120,37586550,268414420,59633407,270325296,70572537,57871029,57871028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14032180, s2 = 8022436, dlinesl.size( ) = 2 s1 = 14032180, s2 = 8022436, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14032180, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 8022437, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1207513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7815563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7815563, s2 = 4284925, int(edited[s2]) = 0 s1 = 7815563, s2 = 4284925, d1 = 44, d2 = 95 Dl.O(d1) = 27001798,35086661,44462013,37164984,28648354,28648355,37164985,29008949,21722492,21722493,28882187,37424436,47332831,37554746,37554747,42034826,35086631,35019918,26938964,20052920,14367077,10884691,10811481,10811480,254972539,6493562,4071569,2436311,1408863,1408862,2436309,2440154,1410803,802502,454650,256203,256202,454645,802495,1410641,2435345,1408379,801303,801302,1408376,2430434,1406450,800360,800357,1406018,2430740,2430336,2430333,4060622,4060620,6480027,9864815,14356904,9899202,6506060,6506059,9899200,7891684,7891685,255134029 Dl.O(d2) = 156429330,167992856,165012843,153193820,140510822,127164023,113304223,99300603,257564024,59021201,47617213,37692680,29130929,21823906,15757537,15757538,21824884,23304381,17043674,11956638,11956637,17043673,23304380,30721909,31352581,31352580,40032722,37692704,29130966,21823938,21823940,23304128,28865266,29133550,21826474,15758753,10913523,10913524,15758755,21826479,20045216,14359928,9867251,6481864,4061771,4061770,6481860,9867239,14359904,20045179,26930975,23931720,17589477,14395899,14395900,15717812,15717815,20284365,20284367,21457470,20235341,20235339,15986842,11098212,7360167,6482437,6482440,9868278,9867538,9867536,14360448,20046084,16104186,11186126,11186129,16104158,22239818,18589933,18589932,15564639,10765570,10765571,15564642,21590930,21588519,15562888,10764470,7112370,7112369,10764466,10912322,7216926,4547203,2733513,1583962,1583961,2733510,4547196,7216910,10912289,15756796,16483007,11484685,7638829,4832885,2912252,2912254,4832892,7638846,11484720,16483070,11484754,7638864,7638865,9884671,9884670,14378681,20062862,26944991,26944990,31422014,254315150,27154114,35252987,44637527,55487549,67564722,55221116,255474956,26910396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7815563, s2 = 4284925, dlinesl.size( ) = 2 s1 = 7815563, s2 = 4284925, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7815563, Dl.E( ) = 100, 3.79e-05 seconds used appending s1 = 16007759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14322367, s2 = 10927970, int(edited[s2]) = 0 s1 = 14322367, s2 = 10927970, d1 = 28, d2 = 46 Dl.O(d1) = 30637235,30752993,39353496,49280268,42663466,33634082,25831351,19178650,19178649,23330550,17063784,17063785,23330557,30753005,39353524,49280303,60681167,73428818,87046187,99515041,86674969,73070043,60329275,60329274,73070041,86674967,73339716,73339717,86951042,98890842,84965287,257059738,47263698,47263697,58655518,47263707,37354090,28815107,21546621,21546622,28815109,37354097,47263715,58655538,71390595,58655522,47263700,37354086,28815103,28815104,37354088,37354094,37354093,257457559,71390593,270815589,73069944,73069973,60329173,60329174,58655470 Dl.O(d2) = 263117942,187248373,187248375,195299326,263514516,264193998,212742956,212742961,207970835,207970834,212742960,216645178,219880025,218347175,214879930,264922203,214879929,264645758,264076698,183333931,262958102,150365260,162497668,173534197,173534216,162497687,150365279,137324564,123593385,109401804,109401805,123593388,123593393,109401808,95147991,95147990,109401807,101128718,101128717,259372378,142515526,155159810,261715252,123593373,109401797,109401796,123593372,137324547,141727367,141727368,154374404,263188379,273121380,261715250,155159805,153633769,140966518,140966517,141727372,128382114,114507812,100484080,100484079,114507811,128382113,141727370,272548672,158813272,165095573,153281657,140601426,127255535,127255536,140601428,153281659,153864040,141188778,260378124,113946926,127826607,141188780,140601430,127255537,113397021,261124833,113006200,99017695,85092329,84908474,84908475,98834301,112825189,126681835,271792825,99395940,99395939,85454879,71869856,257489677,257489675,71869852,85454873,99395937,260848060,76664379,76664381,90526541,76664385,63578555,63578556,76664387,258916707,61993061,257101663,256553477,256095211,24961684,32630584,41515743,271023080,260234381,88421659,74789589,61993048,50501109,50501110,61993051,74789592,88421662,88421670,74789603,61993059,61993058,258916705,74789594,61993053,61993054,74789596,88421665,102422770,260100973,87632100,74028497,74028496,87632098,260100971,74028491,258861389,87632105,74028508,61248538,61248537,257629765,39751252,257629767,49769766,39751244,31073614,31073615,39751246,49769769,61248528,74028499,87632096,88421666,87632106,74028510,269389679,39751254,255996731,17278567,17278566,23590328,31073617,257629763,258861391,101598981,89035649,269912477,50827524,268700035,268456677,50827526,62409505,64813813,52892737,257812217,74028478,257629755,256500633,23590325,23590326,256500635,49769762,61248517,49769760,49769759,269863845,62409503,74028474,74028473,87632077,101598974,115639206,259055100,87632079,74028467,258861385,74028484,87632080,74028483,74028471,61248505,49769751,49769752,61248499,61248500,64813805,52892729,268754543,256664567,52892731,61248513,49769758,49769756,61248511,74028480,87632082,260297423,52892735,42486279,33490367,33490365,257221109,270533201,120319405,262325048,91928912,91928915,78007316,64813793,52892719,52892720,64813789,272424072,91928932,78007335,64813820,52892746,42486286,33490374,33490373,270049092,19086914,19086915,25715247,268499215,33490372,42486283,52892744,257630776,91928930,106121300,120319408,116148558,102091210,88104555,74492564,74492563,71411670,58677660,58677659,53926365,43400490,34299891,26423044,268527901,257270415,61710313,61710314,257083255,256029979,17672487,256029977,40209254,260733201,39517257,30908329,30908328,39517256,38616326,30042419,22667035,16471721,11476586,11476587,11477182,7633659,4829458,4829456,7633656,11477179,11477064,7633588,7633590,11477068,16472334,255106206,17402050,22667827,19853716,19853715,16472060,16472058,22667410,30042758,30042870,22667916,16472532,16472531,22667913,22667001,22667002,19853695,14223755,14223757,19853698,22511005,16337192,16337191,22511002,16472275,11477009,11477008,16472271,19853678,26670127,30042362,22667168,22667167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14322367, s2 = 10927970, dlinesl.size( ) = 2 s1 = 14322367, s2 = 10927970, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14322367, Dl.E( ) = 64, 4.39e-05 seconds used appending s1 = 7862156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7862156, s2 = 8792379, int(edited[s2]) = 0 s1 = 7862156, s2 = 8792379, d1 = 3, d2 = 51 Dl.O(d1) = 11866760,11866761,7964790,7964789,11907784,15572536,254253370,23296276,17088262,12000772,11905649,7963200,5065908,5065909,7963203,5086019,5086016,7990766,10331845,7524004,7524002,5064473 Dl.O(d2) = 201618300,201618303,194640593,186492684,186492683,186492685,177144100,177144098,186492682,194640594,201618305,201618315,262676386,194640589,201618296,207490838,212331950,216287106,264193540,216287107,212331955,212331956,216287108,219566057,222335805,265182850,265549286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7862156, s2 = 8792379, dlinesl.size( ) = 2 s1 = 7862156, s2 = 8792379, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7862156, Dl.E( ) = 52, 2.19e-05 seconds used appending s1 = 14880065, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16172801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16172801, s2 = 7891086, int(edited[s2]) = 0 s1 = 16172801, s2 = 7891086, d1 = 8, d2 = 15 Dl.O(d1) = 254889678 Dl.O(d2) = 23276898,23276900,23276894,17018604,16271958,11314610,7512681,4749128,2862160,1661140,945132,533069,533068,945122,1661102,2862080,4748998,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,9113872,13339180,18737741,18127560,12854019,8741062,8741060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16172801, s2 = 7891086, dlinesl.size( ) = 2 s1 = 16172801, s2 = 7891086, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16172801, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 917053, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14861258, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8386580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8386580, s2 = 11656271, int(edited[s2]) = 0 s1 = 8386580, s2 = 11656271, d1 = 24, d2 = 23 Dl.O(d1) = 58703592,71435468,85008653,98934429,104155079,90029656,85008657,71435471,58703593,47314278,37405478,28864255,21589897,15563890,11957078,11957077,17044323,23305207 Dl.O(d2) = 146820530,133561823,119686745,105447988,91225467,258372568,63775047,51959777,256630292,256615015,30232627,30232628,33705919,33705918,42735511,39708796,39708795,269388753,87586169,271383517,129470533,261280752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8386580, s2 = 11656271, dlinesl.size( ) = 18 s1 = 13179239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16392318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16392318, s2 = 14879697, int(edited[s2]) = 0 s1 = 16392318, s2 = 14879697, d1 = 54, d2 = 52 Dl.O(d1) = 3095734,3095724,1808768,1033056,582202,325532,325533,582204,1033061 Dl.O(d2) = 259459621,259459618,60672983,60672984,73419973,73419982,270876581,87037031,73419976,60672992,49272510,39346327,30746709,23325326,23325327,30746711,39346330,39346300,268662310,17059469,11967770,11967771,17059472,23325314,30746696,39346297,39346302,39346303,257024346,257024344,39346302,39346303,49272488,257604800,70505655,70505654,84040798,73419966,60672978,60672979,73419967,73419963,60672974,60672975,60672989,60672988,73419960,60672973,57804417,46448556,46448555,46448562,46448561,57804422,49272504,39346325,257024375,46448558,36582895,28110544,256819609,39346309,30746695,30746696,30746685,30746686,39346299,46448559,46448560,57804421,60672987,49272504,49272505,49272493,257024354,23325316,30746698,38815886,256441767,255499063,256441769 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6594236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15058361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 919863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 919863, s2 = 1264878, int(edited[s2]) = 0 s1 = 919863, s2 = 1264878, d1 = 14, d2 = 27 Dl.O(d1) = 23359726 Dl.O(d2) = 31769826,257684899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 919863, s2 = 1264878, dlinesl.size( ) = 2 s1 = 919863, s2 = 1264878, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 919863, Dl.E( ) = 32, 1.6e-05 seconds used appending s1 = 10162326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14350719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11060266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6658848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14850425, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 649507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 649507, s2 = 5991930, int(edited[s2]) = 0 s1 = 649507, s2 = 5991930, d1 = 59, d2 = 67 Dl.O(d1) = 16595031,11573920,11573921,16595033,17085799,17085797,23353458,30777363,39378924,30870179,30870180,23441765 Dl.O(d2) = 238598901,239225131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 649507, s2 = 5991930, dlinesl.size( ) = 28 s1 = 11148116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16298605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16298605, s2 = 15756789, int(edited[s2]) = 0 s1 = 16298605, s2 = 15756789, d1 = 3, d2 = 47 Dl.O(d1) = 18899452 Dl.O(d2) = 256897840,40240993,40240992,268737848,47564711,50053305,47412089,37658431,29108620,22468992,255649079,9074742,9074743,13292255,18685236,15195878,15195882,17356627,12227006,8255202,5325522,3273327,3273328,5325527,8255213,12227027,15197547,10482285,6911041,6911040,10482281,15197540,21152326,23676322,17516485,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482555,7926365,7926364,11859784,16945291,23217761,30641120,30644992,39239603,30641932,29682401,22330889,16184548,16184547,22330887,29682397,33769663,31353077,31353076,39963515,46745499,39963652,31288730,28371294,28371293,22008101,15907001,11028483,7302897,7302896,11028481,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151500,15198594,15198596,19104596,25737603,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,5368150,5368147,5368214,5368039,3300198,1941084,254269629,5368033,8318795,255172201,23220549,30643461,28451475,23223150,23223149,23222589,16949481,16949480,23219359,16946639,11860608,11860609,16945683,16945681,23218221,23217948,23217949,268104297,8117871,5200686,5200687,8117872,12072044,17169025,23443422,30331912,24568921,18128356,18128357,24421477,24421478,31974945,33044349,25927833,25927834,33734903,42764952,53214761,65200553,78485034,92525049,106836715,121096474,134898177,148018011,160265299,171479047,181491559,190280815,197868376,204334499,209728729,214152583,217785093,220817447,274382499,265653453,229271786,230773186,232112212,266288247,235407512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16298605, s2 = 15756789, dlinesl.size( ) = 2 s1 = 16298605, s2 = 15756789, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16298605, Dl.E( ) = 54, 8.3e-05 seconds used appending s1 = 16354463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6490942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490942, s2 = 1563841, int(edited[s2]) = 0 s1 = 6490942, s2 = 1563841, d1 = 13, d2 = 5 Dl.O(d1) = 255154295 Dl.O(d2) = 39528251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490942, s2 = 1563841, dlinesl.size( ) = 14 s1 = 6490969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6490969, s2 = 7247189, int(edited[s2]) = 0 s1 = 6490969, s2 = 7247189, d1 = 49, d2 = 50 Dl.O(d1) = 255154513 Dl.O(d2) = 264514000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6490969, s2 = 7247189, dlinesl.size( ) = 20 s1 = 1196002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1196002, s2 = 10522233, int(edited[s2]) = 0 s1 = 1196002, s2 = 10522233, d1 = 40, d2 = 55 Dl.O(d1) = 30285931,29629293,29629292 Dl.O(d2) = 141097380,127743699,127743698,259942968,99852898,85898166,72305469,59571516,59571515,72305467,85898161,99852892,113870482,99852896,99852897,113870487,113870489,260543620,141097382,153767217,153767219,141097385,127743703,127743697,113870484,99852895,85898164,72305468,59571516,59571515,256882556,38276113,29709361,22354076,16202699,11263343,7477272,7477271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1196002, s2 = 10522233, dlinesl.size( ) = 2 s1 = 1196002, s2 = 10522233, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1196002, Dl.E( ) = 56, 1.6e-05 seconds used appending s1 = 15976995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14873001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1228783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1228783, s2 = 6475415, int(edited[s2]) = 0 s1 = 1228783, s2 = 6475415, d1 = 4, d2 = 11 Dl.O(d1) = 31049485 Dl.O(d2) = 17253836,12134133,12134134,17253837,18990845,13551582,9277205,6076775,3802152,2277395,2277390,2298905,3802141,2277393,2277390,2298905,3802141,2277393,2277390,2298905,3802141,2277393,2277390,2298905,3802141,2277393,2277390,2298905,3802141,2277413,2277410,3802175,6076822,9277271,13551696,254949646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1228783, s2 = 6475415, dlinesl.size( ) = 2 s1 = 1228783, s2 = 6475415, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1228783, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 928190, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15347112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1231653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1231653, s2 = 390522, int(edited[s2]) = 0 s1 = 1231653, s2 = 390522, d1 = 124, d2 = 43 Dl.O(d1) = 31104424,23619535,17305217 Dl.O(d2) = 9887522,9887523,7199737,4535973,2726551,2726553,4535976,7199741,10887746,10812974,7145588,7145589,7194470,4532403,4532405,7194448,9899392,9899391,255327267,15627216,20055629,20055628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1231653, s2 = 390522, dlinesl.size( ) = 2 s1 = 1231653, s2 = 390522, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1231653, Dl.E( ) = 130, 5.2e-05 seconds used appending s1 = 10985834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1233082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1233082, s2 = 2281012, int(edited[s2]) = 0 s1 = 1233082, s2 = 2281012, d1 = 3, d2 = 4 Dl.O(d1) = 31138358 Dl.O(d2) = 61327481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1233082, s2 = 2281012, dlinesl.size( ) = 2 s1 = 1233082, s2 = 2281012, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1233082, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1234482, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1234976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14860337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1235528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1235528, s2 = 10613639, int(edited[s2]) = 0 s1 = 1235528, s2 = 10613639, d1 = 10, d2 = 32 Dl.O(d1) = 31193393 Dl.O(d2) = 154335046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1235528, s2 = 10613639, dlinesl.size( ) = 24 s1 = 16252748, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16297247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16297247, s2 = 14045029, int(edited[s2]) = 0 s1 = 16297247, s2 = 14045029, d1 = 62, d2 = 59 Dl.O(d1) = 266571179,236449690,236449691,236449692,236449693 Dl.O(d2) = 23704277,254793316,22763542,22763543,22116890,22116891,29450591,38012708,47927093,59319763,47965834,38052576,38052575,29790279,22424761,16258574,16258575,22424763,26606019,19798999,14181818,9749341,9749340,254533220,10243592,14897336,20785290,27938612,268441192,35067645,254851710,20095411,18148206,13359691,9130386,5974976,3737281,2237573,1297631,740622,420967,237580,131174,71185,71184,131171,237571,420949,740580,1297554,2237433,3737038,5975635,9131336,13361117,13361071,9131304,5975614,5975615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16297247, s2 = 14045029, dlinesl.size( ) = 2 s1 = 16297247, s2 = 14045029, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16297247, Dl.E( ) = 64, 1.69e-05 seconds used appending s1 = 15971788, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1236325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1237466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1238226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1238226, s2 = 848249, int(edited[s2]) = 0 s1 = 1238226, s2 = 848249, d1 = 9, d2 = 27 Dl.O(d1) = 31246510 Dl.O(d2) = 21819383,271354154,59428332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1238226, s2 = 848249, dlinesl.size( ) = 20 s1 = 14116577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 937658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7804807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 63733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 63733, s2 = 7084566, int(edited[s2]) = 0 s1 = 63733, s2 = 7084566, d1 = 17, d2 = 9 Dl.O(d1) = 1322531,754564,754565,1322535,2280400,3806939,6084131,9287545,13564916,19006516,257797598 Dl.O(d2) = 262332069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 63733, s2 = 7084566, dlinesl.size( ) = 2 s1 = 63733, s2 = 7084566, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 63733, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 14857677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15195685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15195685, s2 = 7602013, int(edited[s2]) = 0 s1 = 15195685, s2 = 7602013, d1 = 57, d2 = 40 Dl.O(d1) = 30234921,22842022,22842023,28537755,22842017,22842018,255116952,11592639,7716865,7716864,11592638,16619470,17568777,23911799 Dl.O(d2) = 268986886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15195685, s2 = 7602013, dlinesl.size( ) = 18 s1 = 1248224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 946747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103285, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 950856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8176124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8176124, s2 = 11572663, int(edited[s2]) = 0 s1 = 8176124, s2 = 11572663, d1 = 125, d2 = 153 Dl.O(d1) = 59061412,58180881,256903204,28436595,28436594,36935599,36935596,28436589,28436588,36935594,28436607,28436606,36893833,30310269,30310268 Dl.O(d2) = 207999903,212766980,216665366,219897451,222625113,224967192,227001559,228775891,230338660,231727615,232975448,234105069,235132910,236067513,236917643,237691364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8176124, s2 = 11572663, dlinesl.size( ) = 2 s1 = 8176124, s2 = 11572663, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8176124, Dl.E( ) = 154, 4.1e-05 seconds used appending s1 = 9355343, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6613697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6613697, s2 = 8125191, int(edited[s2]) = 0 s1 = 6613697, s2 = 8125191, d1 = 28, d2 = 50 Dl.O(d1) = 256546826,40362060,40362064,31667584 Dl.O(d2) = 28989223,37534001,46924784,46924785,39794416,37530762,28988893,28988892,37533709,37533748,28988938,28988941,28989039,21705189,15663738,10843197,10843196,15663733,10843279,7168173,7168165,7168116,4514620,2712677,2712676,4514615,7168105,10843161,15663676,21705104,23365730,17096685,12009970,12009972,17096693,21706829,21706830,21703200,15662268,15662267,15662137,10842210,7167565,7167564,10842203,15662117,21702987,28986221,37046690,28547087,21323019,21323022,28547094,37046698,39733663,31704288,24196636,17827344,12622666,12622665,17827341,21705359,21705200,15663743,15663744,10843290,7168183,4514660,2712695,1571416,893429,893428,1571411,2712689,4514641,7168144,10843224,15663780,21705254,28989115,28989073,21705222,15663761,15663760,10844075,10844073,10842297,7167616,4514357,2712548,2712545,4514350,7167605,10842273,255854985,256889769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6613697, s2 = 8125191, dlinesl.size( ) = 8 s1 = 6664917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16327542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16327542, s2 = 6613879, int(edited[s2]) = 0 s1 = 16327542, s2 = 6613879, d1 = 7, d2 = 43 Dl.O(d1) = 210506688,214744629 Dl.O(d2) = 101602325,87635557,74032072,61252098,256490474,31077285,23593990,17281764,12625687,8571629,8571630,12625690,17830717,24199913,256548633,257680211,61922266,74715449,88343242,102339514,116432887,130270160,143597924,262366489,262836617,187415866,195442773,202307628,208078680,202363222,195508388,187492868,178282646,167845502,156257018,143730707,130405041,116565207,102466200,88462381,74828805,74828804,259545127,116565203,130405033,130405051,260159453,88462385,74828807,62032211,50540558,50540557,62032209,74828801,88462375,102466193,116565199,130405027,116565223,102466215,88462390,88462389,74828816,62032218,50540562,40505206,31809668,31809667,40505205,50540560,258297397,88462391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16327542, s2 = 6613879, dlinesl.size( ) = 2 s1 = 16327542, s2 = 6613879, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16327542, Dl.E( ) = 46, 2.69e-05 seconds used appending s1 = 913711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 913711, s2 = 1081135, int(edited[s2]) = 0 s1 = 913711, s2 = 1081135, d1 = 12, d2 = 3 Dl.O(d1) = 23224996,23224997,30178132,38761331,48683058,254420628 Dl.O(d2) = 28074522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 913711, s2 = 1081135, dlinesl.size( ) = 2 s1 = 913711, s2 = 1081135, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 913711, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 583798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11024520, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 960968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 960968, s2 = 6925697, int(edited[s2]) = 0 s1 = 960968, s2 = 6925697, d1 = 0, d2 = 15 Dl.O(d1) = 24285398 Dl.O(d2) = 74819528,259544321,260158616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 960968, s2 = 6925697, dlinesl.size( ) = 18 s1 = 7592582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7592582, s2 = 15221694, int(edited[s2]) = 0 s1 = 7592582, s2 = 15221694, d1 = 81, d2 = 113 Dl.O(d1) = 268692329 Dl.O(d2) = 14225751,255730881,256727039,54683437,258508119,94418875,108705931,122971580,122971571,108705922,94418867,259136970,66939744,66939743,80365228,94418871,108705926,271146606,258508204,54683437,66939746,257290826,43940771,54683435,270112081,108705919,261539179,136802532,262070812,122971575,122971576,136802534,136802529,136802528,260974408,122971574,136802530,149938623,162150272,173249363,174162830,163312391,151433932,259365718,111616327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7592582, s2 = 15221694, dlinesl.size( ) = 2 s1 = 7592582, s2 = 15221694, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7592582, Dl.E( ) = 114, 3.5e-05 seconds used appending s1 = 6494791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16300687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16300687, s2 = 11656837, int(edited[s2]) = 0 s1 = 16300687, s2 = 11656837, d1 = 27, d2 = 8 Dl.O(d1) = 31841130,24321599,17934389,12707707,8633956,5614825,3487849,2071548,1189824,254108723,203243,203241,371184,214960,117838,64462,64465,64463,64465,64463,64467,64415,64414,68276,125784,228384,407123,719733,1263294,2179963,3646877,5844119,8633955,5614824,5614823,8633953,12707703,17934387 Dl.O(d2) = 40539373,257747424,256093456,17668288,12493942,12493941,15835320,21919643,29237806,37800932,43941612,43941611,54684280,60109018,48713949,38792184,30207509,30207510,29285126,255571796,42123538,39889442,31211445,255555507,12263734,17402084,23725972,31211447,34313896,26435638,19697001,14122853,14122854,19697003,256514264,27066021,20171792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16300687, s2 = 11656837, dlinesl.size( ) = 28 s1 = 14914514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1269309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6568156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6495185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6495185, s2 = 11567730, int(edited[s2]) = 0 s1 = 6495185, s2 = 11567730, d1 = 15, d2 = 21 Dl.O(d1) = 255210391 Dl.O(d2) = 231789708,233032149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6495185, s2 = 11567730, dlinesl.size( ) = 2 s1 = 6495185, s2 = 11567730, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6495185, Dl.E( ) = 32, 2.91e-05 seconds used appending s1 = 8189374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13412957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15542743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15542743, s2 = 6731863, int(edited[s2]) = 0 s1 = 15542743, s2 = 6731863, d1 = 28, d2 = 19 Dl.O(d1) = 3830666,6122601,9347603,13650899,19072891,19009261,13567014,13567016,16614066,16614067,20283989,20283990,27212356,31700116,25751861,19114191,13646613,13646612,18982980,18982981,23888746,19006416,13646656,13646658,15201014,13646076,9344199,9344198,13646070,19113610,19065989,13611351,12372835,12372836,16192770,22341269,19036570,19036569,255278523,9341475,9341473,13641617,16885249,23145491,19031270,13584346,9301499,254931611,19031271 Dl.O(d2) = 257816699,260028583,86305308,269824069,48579556,257554346,255931219,255954360,16907719,23171164,30589451,39186928,49115660,254553906,32171581,24585677,18141503,12864527,255220003,24585669,18141522,18141521,24585702,24583288,18139593,18139592,16762842,11715514,11715515,16762845,18139667,18139659,18139660,16762923,11715565,11715564,16762917,16762983,16762981,16762975,16762976,23002616,23002928,16763302,11715892,11715891,16762955,16763087,16763154,11715759,7817190,4959522,2994671,2994673,4959526,7817196,11715768,16763165,11715822,11715821,11715559,7817038,4959370,2994515,2994516,4959372,7817044,11715575,254553896,16763300,11715888,7817311,7817309,11715882,16763294,23002552,16762882,16762884,23002554,23002709,22331834,22331833,29683507,23002900,23002901,29683537,23002938,16763309,16763310,16761671,11714545,11714544,16761665,23001461,16763857,16763858,16763352,11715934,7817338,4959638,2994759,2994758,4959632,7817323,11715904,16763314,254127544,11715912,7817328,7817329,7817319,4959783,2994881,1739238,1739239,2994914,4959838,7817599,5592907,5592906,8606711,12673512,8607121,254370282,254370376,16763755,16761748,16761749,23001574,254553872,23003095,23003096,30407933,254554006,17892149,12673576,8606763,8606764,12673475,8606693,5592894,5592895,8006050,5096806,3093681,1807627,1807628,3093684,5096810,8006058,11714688,254370298,7816309,5096843,3093708,1807642,1032462,581885,581883,1032458,1807637,3093698,5096833,3470310,2057937,1180733,663117,367799,367798,663111,1180727,254616991,12674942,17893955,24273765,31786799,40481406,50516702,62008451,74805260,88438034,259542739,74805252,62008443,50516691,40481402,31786797,256554543,50516697,258295025,259004329,258377381,62008466,74805278,88438052,102440147,116537284,116537298,102440168,102440151,88438016,74805244,62008436,50516690,40481400,31786795,24273763,24273762,31786794,40481398,50516685,60190937,48794193,48794192,258180675,86528940,258295021,62008433,71373490,258691269,58636577,58636578,71373484,84949663,98875629,270815191,71373494,84949676,98875654,98875649,98875650,112863033,126714407,262184259,175348240,263652152,184490304,174879709,261330292,260161972,260161974,152185465,139461719,126091446,126091445,139461710,126091438,112236348,112236349,108625339,94338213,94338215,108625343,122889465,112236344,112236345,126091433,136721078,122889411,108625291,94338155,94338156,108625293,122889415,126091415,112236334,98258258,98258259,112236336,126091419,139461700,136721092,122889425,122889426,122889427,122889430,136721099,143781269,143781268,156306353,166123570,154650234,142005874,128642425,114741037,100691141,100691140,114741035,128642418,142005867,154650227,149863275,136721023,122889342,108625211,94338079,80281888,80281889,94338081,108625214,122889347,122889004,108624841,94337759,80281608,80281609,80281891,94338084,108624849,94337765,80281612,257882535,43848272,34576450,34576453,43848277,54592880,258810125,80281642,66851865,54592899,43848286,34576459,26589260,26589259,34576457,43848280,54592884,258501823,94337781,108624875,108624898,260374579,94337802,94337801,94337752,80281601,66851826,54592864,43848263,43848262,54592861,66851822,80281591,94337744,108624813,94337735,94337736,108624815,122888973,122889192,108625064,94337952,270632552,136720919,136720923,122889194,108625069,94337955,94337956,108625072,113811705,99797665,85844909,257520324,59519377,72253380,85844904,99797660,113811699,259995914,85844919,72253392,59519382,48132095,38222006,38222005,268943602,72253383,85844914,99797671,85844926,72253394,59519383,257520326,85844923,99797685,113811718,122889187,122889186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15542743, s2 = 6731863, dlinesl.size( ) = 18 s1 = 6616064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7949767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7949767, s2 = 7159968, int(edited[s2]) = 0 s1 = 7949767, s2 = 7159968, d1 = 15, d2 = 8 Dl.O(d1) = 3644957,5840842,8948407,8708893,8708892,9456037,6199858,6199860,9456047,13127991,8947372,5840236,3644641,3644643,5840193,5840191,8947281,8947301,8947300,11643316,7756848,7756847,8948467,5840889,3644976,2178841,1262619,719300,719297,1262612,2178830,3644956,5840840,5840839,5840840,8948405,13129541,18088512,12823787,8718640,5675088,5675090,6537003,5675002,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,2178785,2178789,1262619,719300,406843,406839,719242,254200665,254435543,8946021,13125577,18475231,25000651,32053182,24487410,18064099,13125783,8946451,8946455,13126425,13126420,18333407,18333411,18479969,13128805,13128809,16239443,11290016,10346388,10346386,15018566,18071581,12811654,255215185,24489504,18065516,18065515,24489502,256572217,50936835,62540789,62540787,62540786,75463954,89216770,103312438,261353919,156901466,168363660,263282833,187807489,195758532,274314776,220064540,222766770,265769697,230425302,231804878,274644633,228872817,228872816 Dl.O(d2) = 263397652,132772607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7949767, s2 = 7159968, dlinesl.size( ) = 8 s1 = 6616091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6616091, s2 = 795735, int(edited[s2]) = 0 s1 = 6616091, s2 = 795735, d1 = 8, d2 = 8 Dl.O(d1) = 256572297,24490037,18065953,12808188,12808190,9847838,9847836,14335278,20015709,255221584,19104789,25737809,33517334,27920417,27920418,27427517,20449308,14674350,10092761,6628212,6628213,10092825,14674555,20434441,27406202,27406206,35584079,44936723,45101541,45101539,55882992,56451746,56576975,56577057,258319266,27313894,27313896,35451618,27808161,27492159,20492178,20492179,20700542,14842662,14842666,14842708,10207618,10207620,14842824,20703323,27816562,36205894,35556185,31760536,31760535,40454865,50490674,61982638,74778858,75832346,88281295,78612468,65313890,53314048,42851205,42851207,53314055,65313899,78612478,92668503,83651596,70127175,70127174,69972405,57323058,46329715,36474315,28013842,20848096,20848092,27784321,27887936,20750651,14874156,14646915,10075245,6618095,6618093,6642474,6611690,6611688,4182512,2500986,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690171,20472177,27460059,27467225,27467223,35669843,45197181,256789917,36028176,45429323,35823191,27562183,20536521,14732202,10130884,6652829,4165254,2489995,2489992,4165246,6652820,4183688,2501923,1443381,1438458,1438460,817418,817413,1438501,2490981,4166983,6655854,10135460,14738802,20545404,27574970,35843152,27797071,27797072,36177571,256713276,69820208,82796674,96755742,110760054,260304314,83112804,83112806,97044596,97044603,110548197,124564352,260962630,96678974,258584023,257378399,36349223,36349221,36088197,35593553,27412847,20439002,14717578,14646675,10075047,6617982,6617980,6648309,6611683,6611680,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214868,6722991,10232299,14880909,20760859,27903199,36332307,46145640,55899490,55899488,57370479,56567596,56567594,64666241,52751932,42353220,42353215,52751920,64666222,56319493,45274893,45274892,56319485,57201894,46072291,46072288,51980912,41671992,32758990,25064985,18524708,14893859,10241155,6729158,4216085,2520715,2520716,4216088,6729159,10241156,14893861,20780273,256265707 Dl.O(d2) = 256572297,24490037,18065953,12808188,12808190,9847838,9847836,14335278,20015709,255221584,19104789,25737809,33517334,27920417,27920418,27427517,20449308,14674350,10092761,6628212,6628213,10092825,14674555,20434441,27406202,27406206,35584079,44936723,45101541,45101539,55882992,56451746,56576975,56577057,258319266,27313894,27313896,35451618,27808161,27492159,20492178,20492179,20700542,14842662,14842666,14842708,10207618,10207620,14842824,20703323,27816562,36205894,35556185,31760536,31760535,40454865,50490674,61982638,74778858,75832346,88281295,78612468,65313890,53314048,42851205,42851207,53314055,65313899,78612478,92668503,83651596,70127175,70127174,69972405,57323058,46329715,36474315,28013842,20848096,20848092,27784321,27887936,20750651,14874156,14646915,10075245,6618095,6618093,6642474,6611690,6611688,4182512,2500986,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690171,20472177,27460059,27467225,27467223,35669843,45197181,256789917,36028176,45429323,35823191,27562183,20536521,14732202,10130884,6652829,4165254,2489995,2489992,4165246,6652820,4183688,2501923,1443381,1438458,1438460,817418,817413,1438501,2490981,4166983,6655854,10135460,14738802,20545404,27574970,35843152,27797071,27797072,36177571,256713276,69820208,82796674,96755742,110760054,260304314,83112804,83112806,97044596,97044603,110548197,124564352,260962630,96678974,258584023,257378399,36349223,36349221,36088197,35593553,27412847,20439002,14717578,14646675,10075047,6617982,6617980,6648309,6611683,6611680,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214868,6722991,10232299,14880909,20760859,27903199,36332307,46145640,55899490,55899488,57370479,56567596,56567594,64666241,52751932,42353220,42353215,52751920,64666222,56319493,45274893,45274892,56319485,57201894,46072291,46072288,51980912,41671992,32758990,25064985,18524708,14893859,10241155,6729158,4216085,2520715,2520716,4216088,6729159,10241156,14893861,20780273,256265707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6616091, s2 = 795735, dlinesl.size( ) = 2 s1 = 6616091, s2 = 795735, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6616091, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 1275620, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1275969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1275969, s2 = 13894048, int(edited[s2]) = 0 s1 = 1275969, s2 = 13894048, d1 = 17, d2 = 57 Dl.O(d1) = 32094644 Dl.O(d2) = 274622187,234548252,234059172,234059173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1275969, s2 = 13894048, dlinesl.size( ) = 2 s1 = 1275969, s2 = 13894048, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1275969, Dl.E( ) = 58, 1.72e-05 seconds used appending s1 = 10163036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10163036, s2 = 10519117, int(edited[s2]) = 0 s1 = 10163036, s2 = 10519117, d1 = 64, d2 = 58 Dl.O(d1) = 12842935,12842934,18111903,24547152 Dl.O(d2) = 265451466,222789500,225111357,227129075,265504272,265129672,215792418,211750989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10163036, s2 = 10519117, dlinesl.size( ) = 26 s1 = 8156718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8156718, s2 = 12751089, int(edited[s2]) = 0 s1 = 8156718, s2 = 12751089, d1 = 43, d2 = 40 Dl.O(d1) = 259336265,269793519,47539605,37634089,29084075,21786478,15728033,15728032,21786477,26983391,20094387,20094388,26254991,24048137,24048135,29764906,22402329,16240406,11290727,11290728,11313984,7512288,6434131,6434130,9786646,14236443,16271586,11314327,11314328,16271590,17497661,17497663,255251498,21973292,21973290,29300395,22890857,18114226,18114227,24550747,32131529,24619463,18168713,12884949,8763381,5705977,5705978,8763222,8763221,12884742,18168500,254766768,22861007,22861006,30256305,26380149,26380147,25707427,19080548,13622346,13622344,19080492,16633605,11602952,11602951,16633599,22859290,28836914,21565363,15543287,15543286,12090924,8131006,8131005,12090919,13465764,9208144,6028237,6028235,9208136,13465717,18897216,16655343,11622951,11622952,16655392,16655391,16634163,11603288,7724287,7724286,11603282,16634149,22860522,30254761,22859621,16633480,16633478,22169509,29510502,30254711,22859589,16633463,16633464,22859591,22859532,22859531,22859881,22859882,22859891,29510580,22169599,16046082,11141578,7389988,4668579,2812499,1631544,927760,927759,1631541,2812493,254524685,11141546,16046014,22169500,22169501,29510492,38074825,271826170,269806383 Dl.O(d2) = 19610879,19610880,14055298,14055297,14052385,14052386,19610732,23438040,26338962,256185667,19611827,14053385,9663420,9663421,14053387,19451318,19451319,17163472,12067190,8114336,8114337,12067192,17163474,19614279,14055396,14055395,19614277,21512551,15502649,255408935,26339312,19610823,14052461,13370986,9138486,5980146,3739522,3739519,5980135,9138464,13370944,18775245,14055683,9665144,6355583,6355582,9665135,14055666,19614524,17163528,17163526,15502714,10720964,10720966,15502719,21512650,17021791,11937189,255141599,23280644,30695984,39293499,49220120,60620613,73365086,86976400,100960674,115015008,128917193,142268735,154902675,166602162,155625846,143076503,129746826,115847728,101801517,258626760,74222514,61442729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8156718, s2 = 12751089, dlinesl.size( ) = 2 s1 = 8156718, s2 = 12751089, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8156718, Dl.E( ) = 44, 1.29e-05 seconds used appending s1 = 14069751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1280119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13227523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13227523, s2 = 4691500, int(edited[s2]) = 0 s1 = 13227523, s2 = 4691500, d1 = 23, d2 = 33 Dl.O(d1) = 9713654,9713653,9713908,9713905,14119145,18165797,18165796,24615587 Dl.O(d2) = 92295747,106593964,120842272,134639536,147770085,160033729,171269959,181306250,190120643,197730910,264373049,210480584,205287273,199012389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13227523, s2 = 4691500, dlinesl.size( ) = 2 s1 = 13227523, s2 = 4691500, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13227523, Dl.E( ) = 34, 9.06e-06 seconds used appending s1 = 7957584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7957584, s2 = 3719031, int(edited[s2]) = 0 s1 = 7957584, s2 = 3719031, d1 = 32, d2 = 40 Dl.O(d1) = 30738370,39337085,255305444,26337406,21508638,21508640,28769500,31281580,23795455,23795456,31281588,39956490,49973150,43312925,34214991,34214992,33649281,25845424,19190925,19190926,17086563,17086565,23354403,26337803,24636260,18180665,12893626,12893627,18180669,24636264,19609349,14051283,9661952,9661951,12893640,8769695,8769694,12893638,18180689,24636285 Dl.O(d2) = 258822127,260063085,128781890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7957584, s2 = 3719031, dlinesl.size( ) = 2 s1 = 7957584, s2 = 3719031, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7957584, Dl.E( ) = 48, 3.1e-05 seconds used appending s1 = 1281515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1281515, s2 = 14145847, int(edited[s2]) = 0 s1 = 1281515, s2 = 14145847, d1 = 0, d2 = 36 Dl.O(d1) = 32239846 Dl.O(d2) = 233076622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1281515, s2 = 14145847, dlinesl.size( ) = 2 s1 = 1281515, s2 = 14145847, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1281515, Dl.E( ) = 60, 2.22e-05 seconds used appending s1 = 6592739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6592739, s2 = 14373859, int(edited[s2]) = 0 s1 = 6592739, s2 = 14373859, d1 = 11, d2 = 30 Dl.O(d1) = 256334322 Dl.O(d2) = 259932344,142152690,260292972,109513347,95259240,81203288,257216134,44553105,44553104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6592739, s2 = 14373859, dlinesl.size( ) = 2 s1 = 6592739, s2 = 14373859, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6592739, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 14872581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14872581, s2 = 13464034, int(edited[s2]) = 0 s1 = 14872581, s2 = 13464034, d1 = 0, d2 = 0 Dl.O(d1) = 11622269,255503165,21260332,21260331,28478699,30281075,30281060,30281059,38866607,48788626,48788625,51970971,50187386,50187387,48788708,48788709,48788707,48788669,48788670,60185208,61671264,61671255,50187318,46854758,36976203,30281045,30281044,30281101,30281100,38866644,38866643,48788682,60185214,258803477,72924481,60185227,48788701,256446587,22883496,255946577,38866655,48788704,48774990,48774991,46857572,36978924,36978922,46857565,53913761,65980931,65980936,53913765,53913764,58225339,58225337,64261758,60185225,60185224,72924497,259108107,257266381,43320802,53845317,48788661,38866622,38866623,48788665,48524451,38608998,38609000,48524454,59917846,269361030,258806644,91308736,91308735,79346118,79346119,93479952,90774999,90774998,104954689,91330034,258397438,52406514,42062820,42062821,52406516,64261764,65912711,53845323,256706135,34222667,43320804,53845321,65912722,260268075,100224424,86258114,269361032,53845303,43320796,43320795,53845300,65912693,79276057,72924490,60185204,60185203,72924488,256450562,53845307,53845306,65912700,65912706,65912705,53845313,43320800,256186289,19619339,26348475,34222669,269143309,65912728,79276089,93403583,85915884,85915883,99871060,85915896,72322656,72322655,85915894,270598172,99871055,101806034,87832020,87832021,85915872,85915871,259650754,85915903,72322660,59588159,48201713,38292345,38292344,48201711,59588156,72322651,85915890,85915880,72322646,72322647,85915882,99871058,113889606,101806038,87832011,74227064,61447667,61447666,74227060,87832009,87832000,269577462,74227080,61447675,49969866,49969867,61447671,74227073,87831999,87831998,99754576,85800600,72206488,72206487,85800597,72322641,72322642,85915874,99871049,113889599,113889604,113889603,115852366,115852367,113889595,259740592,115852374,257862400,74227066,61447668,49969861,39953207,39953206,49969859,61447665,74227057,87832002,99871050,87832030,74227077,61447673,61447672,74227075,87832026,101806051,115852362,122234448,122234451,116607910,102502991,102502990,101806045,101806042,101806043,101806040,101806039,115852368,101806046,87832015,87831991,256707550,61447662,74227053,87831995,85915878,72322645,72322644,85915876,99871051,102503006,101806054,88494206,88494205,102503004,116607917,127764788,113889601,113889600,115852369,115282319,102503002,88494202,259547661,102502987,259109576,74856976,62057938,50565259,50565258,62057934,74856967,88494182,88494208,74856987,62057949,62057948,74856986,259547667,88494212,102502993,116607914,116607912,116607911,259109578,101806027,99871053,259109580,88494189,88494190,101203939,87203171,87203172,88494193,102502996,260162163,88494203,259547663,62057941,62057939,74856977,81233781,259169219,74856989,62057951,62057952,74856991,270921669,260686611,101203969,87203212,87203211,87203194,258224373,60831308,73580956,73580985,60831337,60831338,73580987,81233784,81233783,95291575,259471653,73580933,60831291,60831290,73580928,87203168,87203196,73580957,257616673,39498001,30890644,30890643,39497999,49429273,49429285,60831319,49429303,49429304,60831343,73580989,87203220,258224370,60831344,73580991,73580927,259471651,87203201,73580961,60831312,49429275,257616675,49429277,39498016,30890653,23457853,268429389,49429294,49429281,39498023,39498022,39497990,39497989,49429257,60831288,73580925,87203162,95097299,81038753,67569860,60831294,49429260,39498005,30890646,23457850,17179524,17179523,255987743,257035461,49429251,39497985,39497984,49429249,55295733,60831330,49429295,49429296,258847149,73580968,73580967,75635353,67633804,67633805,73580916,60831276,49429246,49429247,60831279,73580919,87203160,86497433,259425713,86497437,86497435,86497436,73580918,258847143,72900995,60164146,48769732,48769731,60164144,49429287,49429286,257884860,44591646,35211157,27119081,20216069,20216070,27119083,35211160,44591651,55441533,67784715,81253942,86497426,86497427,74297334,74297335,81253940,67784713,55441532,44591648,44591647,55441530,48769734,38849816,30265909,22869391,22869392,30265911,38849819,48769738,269830411,67784709,67784708,270342789,72900973,60164129,60164128,67784710,73580966,72900990,60164141,48769730,38849814,38849813,48769728,258178271,50040405,40020743,31341318,23848354,17506237,17506236,23848353,31341316,40020741,50040401,60164133,60164134,60164139,72900988,259169969,74297349,61519606,61519605,74297347,74297350,61519607,61519608,72901001,61519611,58539222,58539223,50040417,40020754,31341324,23848358,17506239,12344126,8339617,254850337,10688890,10688891,10688892,15459053,21458814,28714473,37245488,47150834,42195351,257202189,64428562,64428569,77597503,86497424,84844752,84844751,91528498,77597496,270518969,105752034,98296983,98296984,84388357,84388358,98296994,112278511,99919529,85962007,72367189,72367188,71270856,258684945,271306921,91528500,77597497,70831001,58116140,58116141,70831003,84388360,98296997,98771537,98296985,98296986,271763673,112278520,126137775,119986384,105752043,91528512,77597509,77597508,70831005,70831004,84388362,98297002,112278517,126137771,126137770,119986380,105752039,91528506,77597504,64428570,64428571,77597506,91528511,260874045,139512647,261230184,260054686,98297003,112278519,119986375,112278515,98297000,98296999,91528509,91528508,105752040,119986382,115788285,101742604,87769674,74165055,74165054,87769673,101742602,101742581,87769654,74165038,74165039,87769655,101742582,115788272,115788273,260707633,261360154,115788284,259173130,87769659,74165043,74165042,74165053,87769671,258544330,74165040,74165041,74165048,61384444,61384445,74165050,87769669,101742596,113673234,113673233,101742593,101742592,99660581,85712897,72128077,59397286,48009060,38097565,29533504,22190482,22190483,29533506,38097568,48009065,59397075,48009062,38097566,38097567,48009063,59397072,59397287,49992704,39976556,38097274,38097273,48008807,48008803,48008804,59397079,72127919,65311858,65311857,78610240,84461297,257754940,72127920,85712749,98370550,84461299,70905043,58192377,46826530,36948660,28448600,21222116,15252626,15252627,21222119,28448604,30895400,30895399,39502822,49433971,41078147,32273143,24666596,24666595,32273141,39502818,39502819,256612440,51251891,51251892,62920014,51928419,51928418,44424426,35049665,35049666,44424427,55271710,63737774,59023348,47619788,37696449,29135698,21828570,15760703,15760704,21828573,29135703,32719488,32719489,41625571,43839720,256196767,19778523,14166875,14166877,19778527,26581699,26057175,19375768,13859675,13859677,19375773,26057182,33880763,28685116,21435306,21435307,28685119,30344086,38930201,33216443,25469662,18869535,18869534,19375860,25297885,33024226,25469674,256129635,41660362,41660363,51968090,42926713,33880770,26057187,19375776,19375774,26057185,26057193,268156467,9507688,9507689,269066872,33880778,42926714,42175226,33216450,25469668,18869538,13445933,13445934,18703492,25275997,33000983,41660375,32749626,25057977,25057976,256615531,33880765,37806691,32749603,32749604,41660355,51968085,42926716,33880774,26057190,19375778,19375777,26057189,33880772,32749631,25057987,25057986,32749606,25057965,18519770,13158624,8969103,5855193,5855194,268019781,25057975,32749624,32749619,25057972,25057973,256615529,51968097,257169761,32749607,32749608,28871765,28871764,37413261,47321813,51968087,41660381,32749633,255640579,13158631,8969108,5855197,3654941,2186087,2186088,254436523,8969097,8969099,13158615,13158619,13158618,18519760,268482441,41660346,37413248,28871758,28871759,28871766,256880849,58710946,63783387,51968081,256615527,25057955,18519764,18519763,256101563,22652890,22652889,30026068,38598901,48513675,46305940,36453022,256807069,36453014,27994567,27994565,36453009,46305925,57650704,47321810,47321805,37413253,28871760,256339371,47321807,57650705,258619723,80343394,71442481,58710934,47321809,47321808,46305929,46305930,57650709,61725744,74506633,71442480,71442479,59668311,48280577,48280576,59668309,50247284,40227437,31541125,24037979,17686354,12508382,12508383,17686356,24037982,31541130,29796483,22430150,22430149,29796482,38369185,36526475,28060687,20890345,14986765,14986764,20890342,28060681,36526463,46386306,57736126,70430375,257508788,46386314,46386313,54660701,59668315,59668316,57736137,57736136,64405897,64405898,77573854,73090859,60351072,255890244,57736108,46386294,36526452,36526451,46386291,258003125,64183115,52332918,41993675,41993674,48426155,38518561,29953889,256418933,48426153,57799704,46444518 Dl.O(d2) = 11622269,255503165,21260332,21260331,28478699,30281075,30281060,30281059,38866607,48788626,48788625,51970971,50187386,50187387,48788708,48788709,48788707,48788669,48788670,60185208,61671264,61671255,50187318,46854758,36976203,30281045,30281044,30281101,30281100,38866644,38866643,48788682,60185214,258803477,72924481,60185227,48788701,256446587,22883496,255946577,38866655,48788704,48774990,48774991,46857572,36978924,36978922,46857565,53913761,65980931,65980936,53913765,53913764,58225339,58225337,64261758,60185225,60185224,72924497,259108107,257266381,43320802,53845317,48788661,38866622,38866623,48788665,48524451,38608998,38609000,48524454,59917846,269361030,258806644,91308736,91308735,79346118,79346119,93479952,90774999,90774998,104954689,91330034,258397438,52406514,42062820,42062821,52406516,64261764,65912711,53845323,256706135,34222667,43320804,53845321,65912722,260268075,100224424,86258114,269361032,53845303,43320796,43320795,53845300,65912693,79276057,72924490,60185204,60185203,72924488,256450562,53845307,53845306,65912700,65912706,65912705,53845313,43320800,256186289,19619339,26348475,34222669,269143309,65912728,79276089,93403583,85915884,85915883,99871060,85915896,72322656,72322655,85915894,270598172,99871055,101806034,87832020,87832021,85915872,85915871,259650754,85915903,72322660,59588159,48201713,38292345,38292344,48201711,59588156,72322651,85915890,85915880,72322646,72322647,85915882,99871058,113889606,101806038,87832011,74227064,61447667,61447666,74227060,87832009,87832000,269577462,74227080,61447675,49969866,49969867,61447671,74227073,87831999,87831998,99754576,85800600,72206488,72206487,85800597,72322641,72322642,85915874,99871049,113889599,113889604,113889603,115852366,115852367,113889595,259740592,115852374,257862400,74227066,61447668,49969861,39953207,39953206,49969859,61447665,74227057,87832002,99871050,87832030,74227077,61447673,61447672,74227075,87832026,101806051,115852362,122234448,122234451,116607910,102502991,102502990,101806045,101806042,101806043,101806040,101806039,115852368,101806046,87832015,87831991,256707550,61447662,74227053,87831995,85915878,72322645,72322644,85915876,99871051,102503006,101806054,88494206,88494205,102503004,116607917,127764788,113889601,113889600,115852369,115282319,102503002,88494202,259547661,102502987,259109576,74856976,62057938,50565259,50565258,62057934,74856967,88494182,88494208,74856987,62057949,62057948,74856986,259547667,88494212,102502993,116607914,116607912,116607911,259109578,101806027,99871053,259109580,88494189,88494190,101203939,87203171,87203172,88494193,102502996,260162163,88494203,259547663,62057941,62057939,74856977,81233781,259169219,74856989,62057951,62057952,74856991,270921669,260686611,101203969,87203212,87203211,87203194,258224373,60831308,73580956,73580985,60831337,60831338,73580987,81233784,81233783,95291575,259471653,73580933,60831291,60831290,73580928,87203168,87203196,73580957,257616673,39498001,30890644,30890643,39497999,49429273,49429285,60831319,49429303,49429304,60831343,73580989,87203220,258224370,60831344,73580991,73580927,259471651,87203201,73580961,60831312,49429275,257616675,49429277,39498016,30890653,23457853,268429389,49429294,49429281,39498023,39498022,39497990,39497989,49429257,60831288,73580925,87203162,95097299,81038753,67569860,60831294,49429260,39498005,30890646,23457850,17179524,17179523,255987743,257035461,49429251,39497985,39497984,49429249,55295733,60831330,49429295,49429296,258847149,73580968,73580967,75635353,67633804,67633805,73580916,60831276,49429246,49429247,60831279,73580919,87203160,86497433,259425713,86497437,86497435,86497436,73580918,258847143,72900995,60164146,48769732,48769731,60164144,49429287,49429286,257884860,44591646,35211157,27119081,20216069,20216070,27119083,35211160,44591651,55441533,67784715,81253942,86497426,86497427,74297334,74297335,81253940,67784713,55441532,44591648,44591647,55441530,48769734,38849816,30265909,22869391,22869392,30265911,38849819,48769738,269830411,67784709,67784708,270342789,72900973,60164129,60164128,67784710,73580966,72900990,60164141,48769730,38849814,38849813,48769728,258178271,50040405,40020743,31341318,23848354,17506237,17506236,23848353,31341316,40020741,50040401,60164133,60164134,60164139,72900988,259169969,74297349,61519606,61519605,74297347,74297350,61519607,61519608,72901001,61519611,58539222,58539223,50040417,40020754,31341324,23848358,17506239,12344126,8339617,254850337,10688890,10688891,10688892,15459053,21458814,28714473,37245488,47150834,42195351,257202189,64428562,64428569,77597503,86497424,84844752,84844751,91528498,77597496,270518969,105752034,98296983,98296984,84388357,84388358,98296994,112278511,99919529,85962007,72367189,72367188,71270856,258684945,271306921,91528500,77597497,70831001,58116140,58116141,70831003,84388360,98296997,98771537,98296985,98296986,271763673,112278520,126137775,119986384,105752043,91528512,77597509,77597508,70831005,70831004,84388362,98297002,112278517,126137771,126137770,119986380,105752039,91528506,77597504,64428570,64428571,77597506,91528511,260874045,139512647,261230184,260054686,98297003,112278519,119986375,112278515,98297000,98296999,91528509,91528508,105752040,119986382,115788285,101742604,87769674,74165055,74165054,87769673,101742602,101742581,87769654,74165038,74165039,87769655,101742582,115788272,115788273,260707633,261360154,115788284,259173130,87769659,74165043,74165042,74165053,87769671,258544330,74165040,74165041,74165048,61384444,61384445,74165050,87769669,101742596,113673234,113673233,101742593,101742592,99660581,85712897,72128077,59397286,48009060,38097565,29533504,22190482,22190483,29533506,38097568,48009065,59397075,48009062,38097566,38097567,48009063,59397072,59397287,49992704,39976556,38097274,38097273,48008807,48008803,48008804,59397079,72127919,65311858,65311857,78610240,84461297,257754940,72127920,85712749,98370550,84461299,70905043,58192377,46826530,36948660,28448600,21222116,15252626,15252627,21222119,28448604,30895400,30895399,39502822,49433971,41078147,32273143,24666596,24666595,32273141,39502818,39502819,256612440,51251891,51251892,62920014,51928419,51928418,44424426,35049665,35049666,44424427,55271710,63737774,59023348,47619788,37696449,29135698,21828570,15760703,15760704,21828573,29135703,32719488,32719489,41625571,43839720,256196767,19778523,14166875,14166877,19778527,26581699,26057175,19375768,13859675,13859677,19375773,26057182,33880763,28685116,21435306,21435307,28685119,30344086,38930201,33216443,25469662,18869535,18869534,19375860,25297885,33024226,25469674,256129635,41660362,41660363,51968090,42926713,33880770,26057187,19375776,19375774,26057185,26057193,268156467,9507688,9507689,269066872,33880778,42926714,42175226,33216450,25469668,18869538,13445933,13445934,18703492,25275997,33000983,41660375,32749626,25057977,25057976,256615531,33880765,37806691,32749603,32749604,41660355,51968085,42926716,33880774,26057190,19375778,19375777,26057189,33880772,32749631,25057987,25057986,32749606,25057965,18519770,13158624,8969103,5855193,5855194,268019781,25057975,32749624,32749619,25057972,25057973,256615529,51968097,257169761,32749607,32749608,28871765,28871764,37413261,47321813,51968087,41660381,32749633,255640579,13158631,8969108,5855197,3654941,2186087,2186088,254436523,8969097,8969099,13158615,13158619,13158618,18519760,268482441,41660346,37413248,28871758,28871759,28871766,256880849,58710946,63783387,51968081,256615527,25057955,18519764,18519763,256101563,22652890,22652889,30026068,38598901,48513675,46305940,36453022,256807069,36453014,27994567,27994565,36453009,46305925,57650704,47321810,47321805,37413253,28871760,256339371,47321807,57650705,258619723,80343394,71442481,58710934,47321809,47321808,46305929,46305930,57650709,61725744,74506633,71442480,71442479,59668311,48280577,48280576,59668309,50247284,40227437,31541125,24037979,17686354,12508382,12508383,17686356,24037982,31541130,29796483,22430150,22430149,29796482,38369185,36526475,28060687,20890345,14986765,14986764,20890342,28060681,36526463,46386306,57736126,70430375,257508788,46386314,46386313,54660701,59668315,59668316,57736137,57736136,64405897,64405898,77573854,73090859,60351072,255890244,57736108,46386294,36526452,36526451,46386291,258003125,64183115,52332918,41993675,41993674,48426155,38518561,29953889,256418933,48426153,57799704,46444518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14872581, s2 = 13464034, dlinesl.size( ) = 2 s1 = 14872581, s2 = 13464034, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14872581, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 976170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16197988, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1374520, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16305375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14034809, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6585787, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11260690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1290563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1290563, s2 = 10986729, int(edited[s2]) = 0 s1 = 1290563, s2 = 10986729, d1 = 7, d2 = 4 Dl.O(d1) = 32520607,24877523,18379635,13054262,254091738 Dl.O(d2) = 1250106,1250111,731158,731161,1278053,2199783,3674939,254092304,3675069,3675068,5885999,9015391,13223825,18605957,21584707,15560148,15560151,18571532,13197181,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1290563, s2 = 10986729, dlinesl.size( ) = 2 s1 = 1290563, s2 = 10986729, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1290563, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14846724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14846724, s2 = 11139962, int(edited[s2]) = 0 s1 = 14846724, s2 = 11139962, d1 = 47, d2 = 7 Dl.O(d1) = 2992632,1737380,987377,555597,310771,310775,555637,987534 Dl.O(d2) = 4296926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14846724, s2 = 11139962, dlinesl.size( ) = 14 s1 = 14536021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7957022, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6619511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6619511, s2 = 13516637, int(edited[s2]) = 0 s1 = 6619511, s2 = 13516637, d1 = 7, d2 = 17 Dl.O(d1) = 256612615 Dl.O(d2) = 49306980,60709237,258528797,95147125,101088910,115165635,121777997,128794815,114897463,100846591,100846593,101075628,87079550,73462400,73462401,260079241,129080679,142456167,141689988,128340511,114463526,100439111,86481998,72886833,60150641,48756457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6619511, s2 = 13516637, dlinesl.size( ) = 2 s1 = 6619511, s2 = 13516637, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6619511, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 8223333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8223333, s2 = 3884677, int(edited[s2]) = 0 s1 = 8223333, s2 = 3884677, d1 = 45, d2 = 13 Dl.O(d1) = 34684607,43959769,54703783,66963010,74284442,61507935,50029762,256520911 Dl.O(d2) = 140062745,152752302,164587127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8223333, s2 = 3884677, dlinesl.size( ) = 2 s1 = 8223333, s2 = 3884677, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8223333, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 1297521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1297521, s2 = 15482264, int(edited[s2]) = 0 s1 = 1297521, s2 = 15482264, d1 = 3, d2 = 37 Dl.O(d1) = 32748217 Dl.O(d2) = 13837449,9491372,6224622,3896778,2333670,1352564,771516,438291,247309,247313,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247301,438209,771014,1351705,2332395,3895161,6222387,9488332,13833311,19342521,26017477,33836460,42879242,256618588,65183471,255242958,33720450,254437318,19044621,19044622,254906648,42426341,42426340,42426341,270531473,147315200,260843342,147315199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1297521, s2 = 15482264, dlinesl.size( ) = 2 s1 = 1297521, s2 = 15482264, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1297521, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 6444143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6444143, s2 = 14363169, int(edited[s2]) = 0 s1 = 6444143, s2 = 14363169, d1 = 100, d2 = 134 Dl.O(d1) = 254499039,9920082,6519761,4085063,4085062,6519756,9920078,10637819,10637820,15392581,13158733,254646856 Dl.O(d2) = 224362569,221937571,219113072,215767626,211722650,206773345,200783194,193684985,193684986,264166856,200783198,206773343,200783190,200783191,264166858,264166856,193684989,185405559,175917123,165209981,153406755,140724403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6444143, s2 = 14363169, dlinesl.size( ) = 2 s1 = 6444143, s2 = 14363169, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6444143, Dl.E( ) = 136, 4.79e-05 seconds used appending s1 = 1298684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1298684, s2 = 6250023, int(edited[s2]) = 0 s1 = 1298684, s2 = 6250023, d1 = 1, d2 = 49 Dl.O(d1) = 32780319 Dl.O(d2) = 245173636,245328834,267344610,245611829,245739390,245858851,245842923,245723021,245594368,245456242,245309581,245153557,267398309,244809834,267359887,244419688,244202628,243968645,243716748,243444207,274941369,267148029,242142807,241754046,274873369,240387945,239859216,266836729,238663483,237983824,237236390,236415389,235516416,234531182,233449877,232259341,230940228,229468185,227811493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1298684, s2 = 6250023, dlinesl.size( ) = 2 s1 = 1298684, s2 = 6250023, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1298684, Dl.E( ) = 50, 1.41e-05 seconds used appending s1 = 6671613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6671613, s2 = 9382498, int(edited[s2]) = 0 s1 = 6671613, s2 = 9382498, d1 = 15, d2 = 16 Dl.O(d1) = 257171977 Dl.O(d2) = 28397771,27973641,20810056,14914422,10255249,10255251,14914427,20810063,27973649,30680064,28036623,25284801,18711830,18711829,25284798,22350033,16199526,11260938,7475631,7475632,10843495,7168314,7168312,4514846,2712798,2712796,4514843,7168533,10842074,10842073,15661915,21702684,15663324,15663326,15663590,10843107,7168074,4514597,2712670,1571403,893424,504086,504085,893417,1571387,2712649,4514558,7168005,9119327,5966991,5966990,9119323,10842964,7167985,7167984,10842957,15663369,10976001,10976000,15663022,11591294,10789460,10789459,11814067,16884598,23144703,28990459,21706359,15664611,10843782,7168466,7168468,7168518,10843874,10843884,15662810,10842654,10842657,10842975,15662803,10843516,10843514,15663329,15662935,10842768,7167876,4514491,2712615,1571365,893407,893408,1571371,2712624,4514503,7167889,10842755,13346027,9119313,9119314,13346034,10842951,7167979,7167980,10842624,15662761,21703858,21925111,28902187,21627569,15596691,15596689,16884589,23144691,28876046,21704749,21704748,21706328,15664605,15664593,15664594,15664732,15664749,15662820,10842663,7167816,7167817,7167989,10842971,15662800,10843090,10843089,10842720,10842719,15662938,21704133,256348089,37532361,28987552,21704012,15662900,15662899,21704085,28987608,28987609,28988759,28988758,37532226,28987779,28987776,28987658,21704113,15662916,15662914,21703904,15662787,15662788,21703910,28987404,37532145,33053574,33053570,33053571,41997078,37533220,37532164,37532163,47440295,49106269,58826887,71554721,71465951,58736348,47348612,39094280,37532410,37532409,47440551,58826978,71554715,257011176,58826962,47440520,47440518,58827001,71554751,60673691,49273261,39347080,39347081,49273262,60673692,58826896,47440329,37532195,255855061,21703895,28987388,256889849,47440539,47440540,58827010,49106668,49106667,39347100,39347101,49273275,258200250,86870096,73257285,73257284,86870093,100851126,87037644,73420617,255965478,255965480,39347093,49273270,49273278,60673694,58826894,58826893,58827022,258080605,58826900,47440331,47440330,268914354,58827491,49273251,39347062,255965556,39176359,49106670,39176557,39176552,39176071,30578301,30578302,30498473,23085171,23085170,30498466,30578391,30578392,39176187,39176105,30578332,23161333,23161334,30578325,37532301,47440445,39347140,30747539,23326023,17060076,11968228,11968227,17060070,23326007,30747510,30747554,23326054,23326053,30578642,30578641,39176541,31541556,31541555,30578579,30578580,39176439,41997093,33053598,33053599,39175956,39175955,30578668,23161533,16899975,11826995,11826994,16899972,255965503,37045312,46923271,49273489,49273488,257024467,30747719,30747720,38074189,29509921,29509923,38074198,39347344,39347343,49273469,47441206,37533288,37533290,47441214,49106347,39176007,39176006,49106342,49273415,49273418,40227902,40227903,39347052,30747432,30747412,30747413,30747421,39347045,31814792,24299277,24299278,31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035709,37533596,28988817,28988816,37533590,46399324,40510788,31814782,31814779,29244992,21925173,15839118,15839119,21925179,29245000,37809468,47441726,37533811,31559389,28989015,28989014,37533768,28988961,21705120,15663694,15663681,15663682,15663609,15663597,15663596,21705013,28988801,37533571,30791613,23365755,17096701,17096702,23365762,30791625,39394160,37533719,37531288,37530781,28986180,21702954,21702939,21702941,21702971,28986197,37530806,28988822,28988824,37533612,47441517,58827684,50265446,40245737,31559392,24054685,17700662,17700663,24054688,31559394,37533808,37533704,268389995,15663653,15663654,21705072,21705077,28988881,37533693,37533725,30791627,23365764,255980681,39394165,49322248,58826217,47441788,256928546,28986156,21702943,21702944,256347949,28989222,28989223,37534001,46924784,46924785,39794416,37530762,28988893,28988892,37533709,37533748,28988938,28988941,28989039,21705189,15663738,10843197,10843196,15663733,10843279,7168173,7168165,7168116,4514620,2712677,2712675,4514610,7168096,10843142,15663642,268389993,37533687,28989058,268212811,10843207,7168129,4514627,2712681,1571407,1571411,2712689,4514641,7168144,10843224,15663780,21705254,28989115,28989073,21705222,15663761,15663760,10844075,10844073,10842297,7167616,4514357,2712548,1571339,1571340,2712550,2756321,4581437,254755383,15839140,16199524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6671613, s2 = 9382498, dlinesl.size( ) = 2 s1 = 6671613, s2 = 9382498, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6671613, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 14905719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14905719, s2 = 1302225, int(edited[s2]) = 0 s1 = 14905719, s2 = 1302225, d1 = 18, d2 = 14 Dl.O(d1) = 257410808,15851289,15851290,21939423,21477305,15474832,12030102,12030101,17119013,23390922,30819780,34206476,43304859,53829803,49420270,49420271,258218273,60438992,55411319,46821794,46821793,50546285,50546284,59175286,55411311,49420265,39490342,30884061,256489651,49420268,60820784,55410882,44563208,35184945,29733293,27096653,27096652,35185383,35185418,41314957,255152090,24830152,32469598,41314960,35185384,27096655,20197338,14492028,14492027,20197335,14492043,14492044,254980915,9970926,14491628,20196879,27096173,35184949,44563210,44563658,35185412,35185411,41314972,32469607,32469608,41314974,51535787,44563630,35185387,255751785,20197340,27096658,35185389,44563631,55410865,44563198,35184938,35184937,256973149,30083592,30083593,35185342,35185343,257017407,268955491,30083541,30083540,38660758,256429833,22701738,16498147,16498146,16498148,255931065,268411983,16498122,11495069,7645566,4837024,2914696,1690810,1690809,2914693,267894599,256622449 Dl.O(d2) = 52634798,52634797,63035250,51354466,41169199,41169198,33674819,33674818,256473866,52545931,51820593,256233100,24979473,18458482,18458483,24979474,32651755,41540372,51354505,51354504,63035278,63035254,51354474,41169204,32354246,24738368,24738369,268715559,46791187,46791186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14905719, s2 = 1302225, dlinesl.size( ) = 2 s1 = 14905719, s2 = 1302225, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14905719, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 14035287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 360451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7563156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7563156, s2 = 7368791, int(edited[s2]) = 0 s1 = 7563156, s2 = 7368791, d1 = 51, d2 = 74 Dl.O(d1) = 268022127 Dl.O(d2) = 231976415,230622981,230622980,265924993,265635357,225417203,227383917,265924995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7563156, s2 = 7368791, dlinesl.size( ) = 70 s1 = 6727350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6727350, s2 = 5224591, int(edited[s2]) = 0 s1 = 6727350, s2 = 5224591, d1 = 47, d2 = 65 Dl.O(d1) = 257772603 Dl.O(d2) = 222769646,225093413,265769865,222769650,220067979,216870380,213013111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6727350, s2 = 5224591, dlinesl.size( ) = 20 s1 = 7891087, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14057661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7908656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14497982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14931725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109243, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14504791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6474665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6474665, s2 = 7879499, int(edited[s2]) = 0 s1 = 6474665, s2 = 7879499, d1 = 8, d2 = 5 Dl.O(d1) = 254941910,33200212 Dl.O(d2) = 6011555,8777837,5832015,5832013,8935335,13110587,18455376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6474665, s2 = 7879499, dlinesl.size( ) = 12 s1 = 16080931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6455423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15103143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9419710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9419710, s2 = 5048679, int(edited[s2]) = 0 s1 = 9419710, s2 = 5048679, d1 = 16, d2 = 15 Dl.O(d1) = 36956568,28456138,21229692,15303311,10567487,10567486,15303310,15304343,10568426,10568428,13521697,9253380,6060342,6060341,9253378,13521689,15282893,10548603,10548602,15282890,21229716,21241730,15274345,12059275,8108211,6959145,6959148,10545699,6954891,6954890,10545691,15259254,21229362,256276994,28143982,21249875,15284115,10822396,254714810,6958888,10551360,10539700,10539698,15267363,10534658,6947453,6947454,10534664,10561114,15267374,21234190,17559054,17559053,23903435,21246547,15280349,10546412,6955400,6955403,8115378,5199141,5199142,8115351,12068460,17164680,23438826,28464611,28473042,21253123,15288278,15288279,15298468,15473835,21259510,15295486,15295487,21259511,255026097,10560081,15295514,10568073,10568078,15266623,10534050,10534052,10539121,9677013,6364379,3993280,254463121,3993270,3993269,254574783,3171940,1856776,1856775,3171938,2623749,2623748,4381081,6973932,6069008,6069006,4363907,2616430,1510792,1510793,2616433,4366608,6949059,10537192,6960594,6960597,10553694,8110022,8110025,9256676,254926874,25570883,24160942,17793429,12594408,12594412,10776825,10776823,15579082,17126840,21607655,21607686,15579125,10776852,7120622,4483896,4483894,7121592,8091510,5183984,5183985,8091515,12036036,17126335,12035764,12035765,9252913,6059996,6059995,5404673,5404672,8374510,12392263,16800019,12063350,12063348,15474163,15474164,10700581,10700582,11694751,11600499,11600496,13521773,9253436,6060369,3791938,3791936,6060428,9253561,13521976,18958260,25568448,33328760,42309238 Dl.O(d2) = 209488539,213950186,217612072,220667678,223266913,225514990,225514988,224618857,222227179,219441016,216142277,212160734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9419710, s2 = 5048679, dlinesl.size( ) = 2 s1 = 9419710, s2 = 5048679, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9419710, Dl.E( ) = 18, 3.29e-05 seconds used appending s1 = 148838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1014025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14884396, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15983843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15983843, s2 = 6887237, int(edited[s2]) = 0 s1 = 15983843, s2 = 6887237, d1 = 1, d2 = 1 Dl.O(d1) = 57711422,46362138,36503995,28040566,255787185,10302635,10302634,14970399,20872536,28040565,36503993,46362136,42038980,42038979,49207490,39281166,30684238,30684239,33091030,25357953,18775545,13371196,9138671,5980289,3739600,3739599,5980287,5862330,3659901,3659902,5862333,7490212,4733791,4733792,7490219,7490650,5305240,5305239,8221508,8236409,5462821,5462820,5256623,3212801,3212802,4832271,7637820,7255964,4576194,2753258,1905132,1905130,3245738,2753032,2753036,4575807,5241834,8172686,8223067,5308703,3258885,1914657,1914660,3258895,3225423,3225422,3268180,3359270,1974926,1127491,632237,350987,192294,192296,350994,632253,1127525,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,1087140,1087129,1087130,1904239,3243588,3243589,3201388,1874389,1096243,1096242,1919117,3265115,5264336,254273521,1974890,3359215,254395227,2993347,2993348,4957955,5298382,3249879,3249878,3212923,3212920,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4609001,4609003,5257318,4618715,4618714,7316543,7822986,7313814,254760175,4624548,4624549,7323482,5181356,3161372,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,5225056,3187462,3187460,5225052,8154187,12120270,16769027,11722797,7825232,4966705,2999785,1742112,1742113,2999789,4966709,7825237,7823573,4965395,2998992,2998993,4965397,267984679,7822512,4964485,4964484,5291830,4967472,3000269,254370913,1742445,1742447,3000445,4492866,3000334,3000333,4616847,4965091,4965090,4966780,2999843,1742146,1742145,2699289,1864238,254261011,5222064,8150712,254357732,11041060,254768077,4676498,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184982,5221125,8149548,12118412,12116666,254577171,5219502,8147499,8226366,12117541,8148527,5277523,3231318,1895035,1895034,3231314,5219493,8147486,8151916,5223080,3186241,3186242,5223084,8151920,267892642,11159461,11159462,12177701,11283569,11283568,8153775,8153770,11159979,11159978,11718901,11718899,7928379,5039913,3242225,3242227,4960698,7312022,7312023,8207886,5278967,5278966,8207885,5962571,4960912,2995685,1739688,1739689,2995686,1874374,1874375,3201376,3242330,3242331,254583929,5295189,3246325,1905532,1905530,3246320,4574939,7254327,8236696,7492292,5240617,3199652,1887471,1094052,614205,614206,1094058,1915611,3198856,1915821,1915824,254265311,1904551,1089600,1066774,599629,599628,1066769,1870077,254390181,267798963,1097870,1097871,1885567,1085657,609635,339164,339161,609627,601325,334927,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,339645,186451,101973,56115,56117,56272,102319,187340,341435,614120,1093913,1915353,254183219,1094104,254266473,4628062,4628063,3268416,1921545,1921544,2993750,2993753,1906758,1906759,1088683,1088684,1906802,3248139,5297294,5263334,3218559,3218558,4627526,4627527,267797943,1079148,1079147,1891101,3225780,2865861,2788646,1617883,920271,920272,1617890,1091125,1091127,1910734,3253437,5244065,5244064,5244047,3226452,1891598,1891600,3226456,5271998,7304551,4609026,2774818,2774819,3250872,5299975,8228749,12197962,15454890,15454889,15917365,11039449,254760777,7319705,4623059,2783865,2783864,4623057,4622602,3184084,1863441,1063166,1063165,1863438,3184082,5219701,8147737,8147224,5219271,5219270,8147228,8151318,8151317,12076217,8120627,8120628,11902707,11720972,254781520,7822511,4964485,4964484,5291830,4967472,3000269,254370913,1742445,1742447,3000445,4492866,3000334,3000333,4616847,4965091,4965090,7823226,11720940,12121197,8153124,8153125,12121199,17235856,12145528,8175312,8175311,5461537,3357901,1974067,1126978,1126979,1974069,3357905,267912455,7312138,7312139,8454370,8392113,5415665,3329248,1958015,1958012,2998793,4965024,5308654,4963837,2998024,1741190,989433,556589,311236,311234,556580,632302,1127627,1975253,3359747,2997185,2997186,3358695,3358696,5462533,5962571,4960912,2995685,1739688,1739689,2995686,1874374,1874375,3201376,5242593,8173232,5263804,5263805,8193938,5263803,5263802,5279015,254837275,267995207,8243340,5315106,5315089,3264436,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,610002,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3269847,5265876,5246204,3217593,2785400,1615647,1615645,1088945,611386,340059,186653,186654,340064,186729,186727,340182,611596,1089314,1907884,3214391,3214390,5258635,5298940,3249804,3249803,5298937,8187214,5256705,3212871,3212873,5256707,7328262,8245181,5316923,5297538,3248380,1906991,1615126,918596,518083,518084,918603,1615147,2784535,4623968,5242884,3201625,1909587,1909586,254395839,5218811,5218812,267992651,5273634,5273635,8202625,12170616,11255731,7573576,5311332,3261261,1916344,1916345,1934431,1934430,3213976,1882756,1074228,603527,336049,184738,184735,336040,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,3828386,3828387,4614541,7311057,5258891,5258892,8189342,7514019,4750048,4750049,3243384,3243385,4608831,2774636,1609476,1609477,2774640,4608834,7304353,11029886,15908615,255879727,29342130,36530536,28064343,20893673,20893674,28064345,20893679,20893680,17795938,12596535,8547498,8547499,255197167,24163702,255583757,17752989,24113788,22445373,16276171,11317691,7514841,4750615,2863121,2863123,4750618,7514848,11317709,16276195,22445407,29812870,38385342,32598777,32598776,30909247,23473720,17192226,17192205,17192204,23473687,21121819,15173955,10465052,10465053,255381161,13375353,13375352,18780065,25362811,18780059,18780060,18780068,18780067,25362818,33096360,256888340,27970526,20807404,20807405,20320271,20320270,27253248,35377972,44802623,49976055,39959435,31284530,23798331,23798332,31284531,30601681,23183000,21971353,15877571,11006080,7285778,4594544,4594545,7285780,11006084,15877582,21971374,23866756,30571695,23379185,17109248,12023164,12023162,17109239,23379170,24588859,18278475,12973110,8830541,5754076,5754075,8830535,12973101,18278458,24753255,32371689,40306949,38382957,30019770,22647247,16456366,255485979,21307444,21307443,28529823,21971364,15877579,15877578,21971362,29298176,256914743,50068179,48186211,48186212,41992141,41992142,269495663,53062711,269863326,257627812,58270364,46905035,46905036,49884509,40392678,31700153,31700152,25612025,18998954,18998956,19084332,270049372,13558612,17437599,17437598,23765534,26416186,33424074,268394279,15795656,10944041,7241906,7241907,10944048,15795666,19006732,13565061,13565060,19006728,25621004,21157049,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616493,9323688,6107405,6107407,9290390,13569119,19012022,25626877,25767925,25767926,33557275,32839904,25134582,18580831,13204323,13204322,18580829,17542026,17542024,17869758,12654501,8591666,8591667,12654502,17869762,19144395,13669667,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550132,17866844,255591801,20284915,14554965,14554964,20284912,25625538,19010796,19010795,17869902,17869901,17871304,24248335,256044549,24241969,29058811,24241901,17866042,12651965,8590158,5581792,3463288,2053972,1178493,1178490,2053950,2054039,3463468,5582171,8590863,255201605,24243912,31755549,33377035,259674581,120188085,134021462,147238256,154765187,142132351,128778707,114882665,100832218,86851290,73238431,60491619,49088378,39158701,30561345,23144243,16884153,16884154,23144246,23144251,16884157,11813627,7891792,7891791,255134041,22118442,16005194,11111581,7369615,7369614,11111580,16005193,22118440,256922782,16005176,16005177,11111576,7369612,7369611,4655660,2804757,2804758,4655662,7369608,11111570,16005173,22118422,29452256,29452267,29452268,38014387,38014388,38014390,29452260,22118433,16005188,16005189,22118436,256382285,38014391,29452261,256382283,47928568,39187114 Dl.O(d2) = 57711422,46362138,36503995,28040566,255787185,10302635,10302634,14970399,20872536,28040565,36503993,46362136,42038980,42038979,49207490,39281166,30684238,30684239,33091030,25357953,18775545,13371196,9138671,5980289,3739600,3739599,5980287,5862330,3659901,3659902,5862333,7490212,4733791,4733792,7490219,7490650,5305240,5305239,8221508,8236409,5462821,5462820,5256623,3212801,3212802,4832271,7637820,7255964,4576194,2753258,1905132,1905130,3245738,2753032,2753036,4575807,5241834,8172686,8223067,5308703,3258885,1914657,1914660,3258895,3225423,3225422,3268180,3359270,1974926,1127491,632237,350987,192294,192296,350994,632253,1127525,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,1087140,1087129,1087130,1904239,3243588,3243589,3201388,1874389,1096243,1096242,1919117,3265115,5264336,254273521,1974890,3359215,254395227,2993347,2993348,4957955,5298382,3249879,3249878,3212923,3212920,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4609001,4609003,5257318,4618715,4618714,7316543,7822986,7313814,254760175,4624548,4624549,7323482,5181356,3161372,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,5225056,3187462,3187460,5225052,8154187,12120270,16769027,11722797,7825232,4966705,2999785,1742112,1742113,2999789,4966709,7825237,7823573,4965395,2998992,2998993,4965397,267984679,7822512,4964485,4964484,5291830,4967472,3000269,254370913,1742445,1742447,3000445,4492866,3000334,3000333,4616847,4965091,4965090,4966780,2999843,1742146,1742145,2699289,1864238,254261011,5222064,8150712,254357732,11041060,254768077,4676498,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184982,5221125,8149548,12118412,12116666,254577171,5219502,8147499,8226366,12117541,8148527,5277523,3231318,1895035,1895034,3231314,5219493,8147486,8151916,5223080,3186241,3186242,5223084,8151920,267892642,11159461,11159462,12177701,11283569,11283568,8153775,8153770,11159979,11159978,11718901,11718899,7928379,5039913,3242225,3242227,4960698,7312022,7312023,8207886,5278967,5278966,8207885,5962571,4960912,2995685,1739688,1739689,2995686,1874374,1874375,3201376,3242330,3242331,254583929,5295189,3246325,1905532,1905530,3246320,4574939,7254327,8236696,7492292,5240617,3199652,1887471,1094052,614205,614206,1094058,1915611,3198856,1915821,1915824,254265311,1904551,1089600,1066774,599629,599628,1066769,1870077,254390181,267798963,1097870,1097871,1885567,1085657,609635,339164,339161,609627,601325,334927,184197,184194,102638,56450,56451,102645,101917,101916,186477,102294,102295,187287,341320,601432,339645,186451,101973,56115,56117,56272,102319,187340,341435,614120,1093913,1915353,254183219,1094104,254266473,4628062,4628063,3268416,1921545,1921544,2993750,2993753,1906758,1906759,1088683,1088684,1906802,3248139,5297294,5263334,3218559,3218558,4627526,4627527,267797943,1079148,1079147,1891101,3225780,2865861,2788646,1617883,920271,920272,1617890,1091125,1091127,1910734,3253437,5244065,5244064,5244047,3226452,1891598,1891600,3226456,5271998,7304551,4609026,2774818,2774819,3250872,5299975,8228749,12197962,15454890,15454889,15917365,11039449,254760777,7319705,4623059,2783865,2783864,4623057,4622602,3184084,1863441,1063166,1063165,1863438,3184082,5219701,8147737,8147224,5219271,5219270,8147228,8151318,8151317,12076217,8120627,8120628,11902707,11720972,254781520,7822511,4964485,4964484,5291830,4967472,3000269,254370913,1742445,1742447,3000445,4492866,3000334,3000333,4616847,4965091,4965090,7823226,11720940,12121197,8153124,8153125,12121199,17235856,12145528,8175312,8175311,5461537,3357901,1974067,1126978,1126979,1974069,3357905,267912455,7312138,7312139,8454370,8392113,5415665,3329248,1958015,1958012,2998793,4965024,5308654,4963837,2998024,1741190,989433,556589,311236,311234,556580,632302,1127627,1975253,3359747,2997185,2997186,3358695,3358696,5462533,5962571,4960912,2995685,1739688,1739689,2995686,1874374,1874375,3201376,5242593,8173232,5263804,5263805,8193938,5263803,5263802,5279015,254837275,267995207,8243340,5315106,5315089,3264436,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,610002,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3269847,5265876,5246204,3217593,2785400,1615647,1615645,1088945,611386,340059,186653,186654,340064,186729,186727,340182,611596,1089314,1907884,3214391,3214390,5258635,5298940,3249804,3249803,5298937,8187214,5256705,3212871,3212873,5256707,7328262,8245181,5316923,5297538,3248380,1906991,1615126,918596,518083,518084,918603,1615147,2784535,4623968,5242884,3201625,1909587,1909586,254395839,5218811,5218812,267992651,5273634,5273635,8202625,12170616,11255731,7573576,5311332,3261261,1916344,1916345,1934431,1934430,3213976,1882756,1074228,603527,336049,184738,184735,336040,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,3828386,3828387,4614541,7311057,5258891,5258892,8189342,7514019,4750048,4750049,3243384,3243385,4608831,2774636,1609476,1609477,2774640,4608834,7304353,11029886,15908615,255879727,29342130,36530536,28064343,20893673,20893674,28064345,20893679,20893680,17795938,12596535,8547498,8547499,255197167,24163702,255583757,17752989,24113788,22445373,16276171,11317691,7514841,4750615,2863121,2863123,4750618,7514848,11317709,16276195,22445407,29812870,38385342,32598777,32598776,30909247,23473720,17192226,17192205,17192204,23473687,21121819,15173955,10465052,10465053,255381161,13375353,13375352,18780065,25362811,18780059,18780060,18780068,18780067,25362818,33096360,256888340,27970526,20807404,20807405,20320271,20320270,27253248,35377972,44802623,49976055,39959435,31284530,23798331,23798332,31284531,30601681,23183000,21971353,15877571,11006080,7285778,4594544,4594545,7285780,11006084,15877582,21971374,23866756,30571695,23379185,17109248,12023164,12023162,17109239,23379170,24588859,18278475,12973110,8830541,5754076,5754075,8830535,12973101,18278458,24753255,32371689,40306949,38382957,30019770,22647247,16456366,255485979,21307444,21307443,28529823,21971364,15877579,15877578,21971362,29298176,256914743,50068179,48186211,48186212,41992141,41992142,269495663,53062711,269863326,257627812,58270364,46905035,46905036,49884509,40392678,31700153,31700152,25612025,18998954,18998956,19084332,270049372,13558612,17437599,17437598,23765534,26416186,33424074,268394279,15795656,10944041,7241906,7241907,10944048,15795666,19006732,13565061,13565060,19006728,25621004,21157049,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616493,9323688,6107405,6107407,9290390,13569119,19012022,25626877,25767925,25767926,33557275,32839904,25134582,18580831,13204323,13204322,18580829,17542026,17542024,17869758,12654501,8591666,8591667,12654502,17869762,19144395,13669667,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550132,17866844,255591801,20284915,14554965,14554964,20284912,25625538,19010796,19010795,17869902,17869901,17871304,24248335,256044549,24241969,29058811,24241901,17866042,12651965,8590158,5581792,3463288,2053972,1178493,1178490,2053950,2054039,3463468,5582171,8590863,255201605,24243912,31755549,33377035,259674581,120188085,134021462,147238256,154765187,142132351,128778707,114882665,100832218,86851290,73238431,60491619,49088378,39158701,30561345,23144243,16884153,16884154,23144246,23144251,16884157,11813627,7891792,7891791,255134041,22118442,16005194,11111581,7369615,7369614,11111580,16005193,22118440,256922782,16005176,16005177,11111576,7369612,7369611,4655660,2804757,2804758,4655662,7369608,11111570,16005173,22118422,29452256,29452267,29452268,38014387,38014388,38014390,29452260,22118433,16005188,16005189,22118436,256382285,38014391,29452261,256382283,47928568,39187114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15983843, s2 = 6887237, dlinesl.size( ) = 2 s1 = 15983843, s2 = 6887237, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15983843, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 528225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 528225, s2 = 7862, int(edited[s2]) = 0 s1 = 528225, s2 = 7862, d1 = 61, d2 = 6 Dl.O(d1) = 13438235,13438234,18861222,25461404,18861224,18861223,254950664 Dl.O(d2) = 73403,39730,39729,73423,135030,244389,254114275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 528225, s2 = 7862, dlinesl.size( ) = 54 s1 = 15356343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16248393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1680685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1680685, s2 = 14062914, int(edited[s2]) = 0 s1 = 1680685, s2 = 14062914, d1 = 1, d2 = 2 Dl.O(d1) = 42586206,33569219,25779130,19137956,19137957,13665514,9358334 Dl.O(d2) = 3835181,3805484,3805485,2345359,267814541,6081636,3817334,3817333,6101020,9279614,6121246,6121245,9345429,9320255,6105321,6105320,9290838,6127246,3833591,2296850,2296854,3833555,3731687,3731686,5967574,9120214,6128315,3834211,3834214,5234085,3194593,1869939,1869943,3194607,5234119,6254548,6254546,9534377,13894627,19420865,26113862,33950325,43006612,53484126,53186607,42737413,33707828,25901547,19240811,13746952,9418771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1680685, s2 = 14062914, dlinesl.size( ) = 2 s1 = 1680685, s2 = 14062914, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1680685, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 6458901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 109933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1023273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1023273, s2 = 10189791, int(edited[s2]) = 0 s1 = 1023273, s2 = 10189791, d1 = 10, d2 = 11 Dl.O(d1) = 25837083 Dl.O(d2) = 29709118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1023273, s2 = 10189791, dlinesl.size( ) = 12 s1 = 1339504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1339504, s2 = 3577148, int(edited[s2]) = 0 s1 = 1339504, s2 = 3577148, d1 = 2, d2 = 12 Dl.O(d1) = 33673313 Dl.O(d2) = 121015245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1339504, s2 = 3577148, dlinesl.size( ) = 2 s1 = 1339504, s2 = 3577148, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1339504, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 1340196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15413561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1027436, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11129688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091929, s2 = 9683629, int(edited[s2]) = 0 s1 = 14091929, s2 = 9683629, d1 = 19, d2 = 10 Dl.O(d1) = 102568890,92949007,78842392,65510141,53486746,43008684,43008683,33951812,33951813,268780579,26114918,19421684,255196554,9465217,6206275,6206276,9465221,13802641,19304302,19304260,19304259,25971087,33781381,42813919,38216348,29650075,255087924,23262520,22298333,16153118,16153119,12845871,11913108,11913109,12845869,12845868,15174588,17242894,17242895,20994316,15080272,15080274,20994325,20994330,15080354,10401721,6856776,4303177,2572813,2572812,4303173,6856768,10401707,15080336,20994415,17102252,17102253,23371002,29681088,29675095,28837240,21565666,15543555,15543552,21565659,28837229,29650150,29650178,24983379,23371009,17441130,17441132,17441146,12294436,12294437,11222320,11222321,16153063,18116052,13115085,13115084,18461417,24983387,31735278,24226704,20994301,20994300,28175679,31784677,31784679,36788316,28291730,21085047,254774762,15080292,10401674,8735624,8303730,8303729,12294433,17441143,23769245,17854867,17854868,12644597,12644598,12644668,12644666,17854994,24226806,31735377,40429579,37298616,37298615,40478974,40478973,50513973,256869772,29153202,268625235,257481247,71780228,85369635,85369636,99314457,260532128,113318014,113318015,261137691,140524200,134890942,134890943,261443938,121089458,106830009,259038852,53208640,268494398 Dl.O(d2) = 13388034,13384735,13384734,18791586,25376567,33111848,42060979,52404820,64260240,77410030,91328578,105546337,119779578,109188238,94924162,80860217,67392568,254991408,34876290,26820263,19956064,19956063,26778222,26778223,19993348,19993350,14317032,14317030,19993382,26870520,34944595,44317274,55080125,49559551,39593411,39593408,49559541,60994384,269669072,101366311,115422967,129327967,129407790,129407789,128651637,114751979,100703807,258814353,61466456,49988979,39973055,31298807,23812885,255173019,12323540,17478916,19477348,13939057,9567719,6278475,6278472,9567707,13939042,19477309,26182921,34032134,39645958,39645961,39063406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091929, s2 = 9683629, dlinesl.size( ) = 2 s1 = 14091929, s2 = 9683629, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14091929, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 6578347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6578347, s2 = 1996113, int(edited[s2]) = 0 s1 = 6578347, s2 = 1996113, d1 = 10, d2 = 5 Dl.O(d1) = 256163150 Dl.O(d2) = 51922002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6578347, s2 = 1996113, dlinesl.size( ) = 2 s1 = 6578347, s2 = 1996113, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6578347, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 9454794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133105, s2 = 13201646, int(edited[s2]) = 0 s1 = 14133105, s2 = 13201646, d1 = 69, d2 = 18 Dl.O(d1) = 273371582,185633653,176172966,165494541,153715938,141049010,127699155,113829556,113829557,260068048,113390377,99389363,85448418,71863271,59124704,47726427,37804764,29240744,21921780,15836662,15836661,21921779,29240742,255001226,59124703,52776525,42377574,33388875,28043672,21667041,15631058,14928166,14928167,14990472,20894385 Dl.O(d2) = 86400197,72804532,60066769,255523298,30165140,23474637,17192895,17192892,22648240,30021018,28686724,28686722,23207710,23207380,16936419,16936418,23207375,30630319,30910395,33295058,33295060,29339409,29339410,23474770,23474769,30910558,30910335,23474600,23474601,30910341,39519580,30910511,23474736,17192954,12089495,8129999,5208714,3177840,3177842,5208720,8130007,12089513,17192990,20021944,16936554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133105, s2 = 13201646, dlinesl.size( ) = 30 s1 = 6475244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6475244, s2 = 13161976, int(edited[s2]) = 0 s1 = 6475244, s2 = 13161976, d1 = 4, d2 = 6 Dl.O(d1) = 254948255,255547481,17285384,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,23316308,17052567,11962631,11962629,17052560,23316295,30735548,30735528,30735508,30735505,30735467,23316255,17052538,17052539,23316261,30735415,23316227,17052524,17052525,17051047,17051048,23314108,23314639,23314588,23314585,30733642,38340519,38340520,48251189,48538141,256478779,23315759,255143667,8007640,8007591,8007595,8007678,5097707,5097709,8007684,11962477,17052321,23315935,22142551,16024723,11126377,7379956,4662391,4662390,7379948,11126358,16024687,22142489,17050561,17050560,16243347,11961443,11961442,17050541,17051714,17050251,11961287,11961286,255486147,11469523,11469522,16461067,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085 Dl.O(d2) = 11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,19344246,13834604,9489290,9489289,13834596,15907530,15907528,11127058,11127057,16025892,22009174,29340995,30665362,30665360,39260910,254739778,28852301,28852299,22143835,22143836,29481662,28288981,21082673,21082672,28288979,36785442,44602427,35221411,27127645,20222628,14511298,14511297,254505140,26093350,33926558,42980015,53454117,48991583,39067540,30475312,30475311,33761105,25953145,25953148,33761119,39685786,49698226,40993603,40993605,44154981,49528944,39574885,30948218,23499783,17210423,12101884,8138486,5214173,3180967,1861840,1062368,597241,332920,332916,597296,1062539,1862179,3181668,5215596,8141280,12107301,17220807,19956225,19956229,14314357,14289228,9832479,6458836,4048008,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423384,2423381,4047113,2423143,2423140,4047142,6457021,9828978,14308291,19983422,26858301,34929021,44298093,43615133,43615132,54252825,66425841,73761151,87380169,94561431,80508283,269620965,34723443,34723444,44017224,54785876,67068139,80508286,94561437,256793688,83803607,76793308,66412823,54240581,43605878,34425330,26501064,19735736,19735737,26501068,34425346,43606017,39586824,30954838,23503522,17222541,17222537,23520160,23520163,26738761,19902482,14256963,14256960,14291369,9817857,9817852,14275034,19930746,14319246,14319205,9836354,9836357,14319232,19995863,26781735,26781736,34824692,44166098,54987651,67315646,80785286,83981665,83981664,70453751,57758669,46407873,36546333,28078195,20905705,15000778,267957605,4263712,2549144,2549142,4263707,4271807,2556673,2556670,4229171,3721799,2228498,1292418,737632,737633,1292421,2228505,3721823,4855021,6812021,4272653,4272652,6812031,10277919,6754699,4232657,4232656,4270014,2552962,2552963,267878725,4250444,2541001,2541002,4250446,6780834,10294465,254484586,6762023,6750309,6750311,4240093,2535167,1460890,826952,826954,1460891,2535168,3711068,2222317,2222319,3711081,5935166,4268214,2551857,2534258,2222270,2222269,3710818,2222180,2222177,1289081,1289085,2222205,3710862,5934779,9062845,9082062,5940046,3714259,2224149,1290100,736404,736403,1290093,2224119,3714210,254488085,4296784,6847728,10390029,8133040,5210687,3179030,1860881,1061942,597032,332784,332785,597033,1061653,1061655,1860341,3178068,5209112,8130621,12090410,17194204,23476564,30913216,39523694,49457317,49457315,49457316,258849767,87231778,86314147,258786816,257554186,30095437,22713840,22713841,30095438,257554847,64698613,52784709,52784710,55339039,67678533,81144356,95201112,109455501,123647781,137379142,140061582,126714444,112863062,98875677,84949702,71373532,58636623,47242910,255897208,28795403,21530194,21530195,28795404,29199139,37760639,40453489,34004716,34004717,40155337,40155338,31471152,23975088,17627065,12447276,12447274,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29321490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6475244, s2 = 13161976, dlinesl.size( ) = 2 s1 = 6475244, s2 = 13161976, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6475244, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 11041758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14622533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14622533, s2 = 3328204, int(edited[s2]) = 0 s1 = 14622533, s2 = 3328204, d1 = 1, d2 = 7 Dl.O(d1) = 9713640,9713645,13579603,13579565,13579564,19024954 Dl.O(d2) = 255608184,42397708,256457087,23042341,16797214,16797213,23042340,17501306,17501305,23841916,268680163,39039002,48934716,39011262,30421814,30421818,39011269,30451066,30451068,30449478,30449477,23042699,16797401,11744766,11744768,16797408,23042720,23042958,20890428,14986841,14986842,20890434,23043426,23042853,23042852,23043199,16797837,16797838,23043402,30451111,30451110,39040337,33010122,29280373,21955619,15863967,15863970,16797585,11744889,7841405,4977545,4977544,7841401,11744881,16797620,20233857,20233856,27141852,32133981,32133983,40911785,42314783,40426702,31732607,30451075,23043009,23043010,30451079,23043140,23043143,23043158,23043157,25574638,30450629,38307930,29739810,29739809,38307925,48217689,269342214,30451128,30451127,257001409,60356428,60356763,60356920,72833626,64152230,52300214,41959394,38188360,29621195,22270034,16128686,16128684,16128633,16128634,16128644,16128668,16128669,21431284,21431283,28680288,37203619,47100012,47822537,38777829,38777830,38778273,38188328,30194163,22803638,16586391,11566466,11566465,16586384,22803625,30194148,30194757,30194756,30194739,30194738,268958991,47099992,37203594,28680269,21431273,15437729,10672542,10672543,15437732,16586240,16586239,22803348,29621365,255938965,22803812,30194396,38778664,47820593,59218835,48960705,39039273,268964709,48098981,38187466,29620603,29620604,38187440,41958440,33015875,25290513,18717334,13324048,13324049,18717340,25290526,33015906,41958501,52299526,50213334,50213333,61695138,50213448,40191331,31506012,24006895,24006896,31506018,34629201,34629200,26639409,26639408,34629243,43901658,54644826,54644862,50213382,40191290,31505993,31505992,38187577,38187579,48099169,52002920,41691236,41691238,50531725,50531726,43357278,43357279,53881759,258479861,62023697,74556654,77979613,64785610,257581642,33770941,33770942,42802810,50531679,50531678,53255550,53255549,61677924,72223465,63408574,62652257,51026156,51026153,51026173,40888859,40888857,51026168,62652278,61408600,49929360,49929358,58276768,58276766,52866969,52866575,52866561,42463453,42463454,34629231,34629233,33470039,25696860,25696859,21415587,21415586,28660206,37179594,47073340,53254578,53254574,52867095,42463323,33469929,33469925,42462728,33469411,32303649,24691729,18223622,18223623,24691735,31997147,24439028,24439029,31628682,31185463,23695817,23695814,31185450,29352579,22021286,15920111,15920112,22021294,29352589,35254672,31185485,23695835,17373731,17373732,23695841,26121064,23960918,17612361,12431685,12431684,17612355,19071305,13615133,9322768,6106858,3821022,3821021,6106849,9322748,13615090,16169880,16169879,22314926,22314940,22314939,29666717,22807076,19071054,13615008,12925854,8793158,8793159,9347315,9347313,13650495,19119004,13900115,268158575,26121065,33958418,43015251,53493508,65516969,78849413,92956249,107361320,121742616,119187089,104992186,90814661,76938795,63831449,52016380,41705912,32790258,32790259,41705914,52016383,63831450,76938796,90814662,104992188,119187090,133022339,146256454,158631064,169993854,180163880,189108502,196854852,203483373,209034237,213590408,217321673,220429037,223068503,225345192,227323290,266049145,233163248,234272037,235279552,236196800,237032495,237796029,238489977,239125506,239709837,266929667,241214805,241644297,242040947,242406537,242746057,267204231,243636725,243895522,244136500,244360452,244567756,244760449,244940459,245109762,245268099,245416373,245556271,245687418,245809820,245925203,246033836,246135678,246232907,246324196,246409998,246491003,267569169,246641186,246709916,246775142,246837520,246897643,246955457,247009697,247060211,267625797,247183945,247219191,247253186,247285724,247316242,247344518,247370611,247395544,247419787,247443493,247466109,247487735,247508142,247527731,247546379,247564820,247583832,247592768,247573497,247554889,247536476,267669250,247477034,247454850,247431204,247406731,247381924,267653188,267646818,247268339,247234804 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 546986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 546986, s2 = 10449068, int(edited[s2]) = 0 s1 = 546986, s2 = 10449068, d1 = 0, d2 = 21 Dl.O(d1) = 13907372,19436006,26131074,26131073,19436005,19436006,26131075 Dl.O(d2) = 262988529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 546986, s2 = 10449068, dlinesl.size( ) = 12 s1 = 7898716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7898716, s2 = 11656771, int(edited[s2]) = 0 s1 = 7898716, s2 = 11656771, d1 = 51, d2 = 73 Dl.O(d1) = 254805118,30371028,38953455,255125594,16729557,16729556,22965663,30367235,254805622,30358973,22968783,17266186,12145799,9858465,6475914,6475915,9858467,13917398,13917397,19448271,26145690 Dl.O(d2) = 134028178,134637967,134637968,270530222,92294277,257805278,256657712,53018425,64993516,53018427,255676222,254930502,13660871,9354788,6127494,3833711,2296895,2296899,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,3833761,6127611,6127330,6127328,6361965,3991943,2392414,2392411,3991936,6361994,9672918,14064642,19625328,26355459,34230136,43328470,53852768,65920033,258387276,93411175,107834822,122242099,136207886,149459967,149459968,161752536,172910300,166706066,155005372,142357304,128982315,115056771,100986357,86993588,73378250,60632155,257021117,30706397,23290231,17030684,17030686,23290233,30706401,257021119,60632157,73378251,86993590,100986359,100986358,115056774,128982318,142357306,128982316,128982317,142357308,155005373,150453919,137414758,123683893,109492436,95239366,81184203,67719237,55379400,44533165,35156926,27070911,20175756,255333989,9959987,6546069,4101057,2453176,1418194,1417022,806202,456890,254083965,142717,257597,257598,456897,806220,254215305,4096987,4100880,6541996,9954029,14467874,9954075,9954073,14467931,14460076,14460075,14471050,9956618,9956617,14471048,20169775,20166139,14467866,9954024,6541993,6541992,6544619,4100234,2452732,1417959,806666,457108,257695,257694,457117,806685,1418003,1417202,806293,806292,1417196,2451248,2452712,4100204,6544571,9951904,9951929,6540681,6540680,9951923,14465057,20162904,256223759,20157319,14460653,9948868,9948869,14460654,20157321,19822971,14199590,14199591,19822976,24065969,17710602,12528172,12528171,11174073,11174075,16088481,22220622,29566640,38132482,46956105,40259411,40258942,31571600,24065954,17710307,17710310,17710560,15369824,10620122,10620123,11781439,11781440,16846891,17710745,17710746,18135341,18135340,24577861,26039009,33860447,37110828,28601924,28601923,37110826,37075840,28572676,28572675,37075835,46956013,58323135,257244842,58323133,48125328,42905612,38133844,38133845,48047312,55225760,44375008,37480165,37480166,44374890,34996690,26915291,26915292,34996688,44374914,44374875,38945631,30359448,22957930,22957929,26915356,26915354,26915317,26915316,34996724,44374974,55225728,47860229,47860230,55225475,60724989,61759748,55225412,48865370,48865371,39299448,39299447,44642796,35258293,27159191,27159189,35258286,28572826,21344676,21344674,28572818,37076062,46956336,55225647,67568548,81037058,73181115,72176006,60363119,60363118,72176142,67568338,61759765,50280188,50280187,61759764,55225328,44374612,34996437,26915105,20030718,20030719,22953804,30355645,38941919,44374686,55225428,44375139,39365424,38952362,38952363,39365435,44374734,35182978,35182977,40258939,31571559,26915160,20030754,20030753,26915158,26915141,26915144,23366149,20030731,14347716,14347717,256212633,20157316,20157317,256223757,44512947,55359537,60775522,49373972,39445535,255983885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7898716, s2 = 11656771, dlinesl.size( ) = 20 s1 = 1447943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1447943, s2 = 3216576, int(edited[s2]) = 0 s1 = 1447943, s2 = 3216576, d1 = 55, d2 = 41 Dl.O(d1) = 37331945,255436128,15892148,11018003,11018002,15893551,21990826,26159090,34000831,43059248,53538662,65563237,257551156,59732653,48348586,255487344,22535433,16361539,16361540,22414895 Dl.O(d2) = 101071054,87074828,87074827,87074828,256523302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1447943, s2 = 3216576, dlinesl.size( ) = 2 s1 = 1447943, s2 = 3216576, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1447943, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 1035830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14481636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15905991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9060020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13962341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6530621, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1041468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1041468, s2 = 7262949, int(edited[s2]) = 0 s1 = 1041468, s2 = 7262949, d1 = 15, d2 = 3 Dl.O(d1) = 26340061,34213653,43311740,53836207,65903187,70797401,58080687,58080686,70797400,84355606,98262752,260498899,139464940,152188496,164065455,263078905,184492084,174881990,164065459,262634863,184492089,184492104,174881998,164065467,152188510,139464948,126094973,112240367,112240366,126094971,139464942,262634855,184492072,192891184,263840845,184492094,262634865,152188506,139464946,261629821,152188498,164065456,174881985,263480011,184492074,262634857,273093713,264164941,200102409,200102403,200102404,206188176,200102386,264454931,206188189,200102402,192891208,192891210,200102404,206188176,206188177,206188197,211216556,211216542,264454935,200102399,200102394,200102395,263840847,184492101,262634869,262634867,184492098,192891214 Dl.O(d2) = 264715399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1041468, s2 = 7262949, dlinesl.size( ) = 2 s1 = 1041468, s2 = 7262949, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1041468, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 14858660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16304864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 109240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 109240, s2 = 14165188, int(edited[s2]) = 0 s1 = 109240, s2 = 14165188, d1 = 15, d2 = 13 Dl.O(d1) = 2341497,2341322,2341320,3894063,254456703,2402653,2402652,4008886,6388114,9710559,254900580,26424610,34301995,43403157,53929995,66000592,258358474,64846626,53348862,42884486,42884488,53348865,53929965,257554498,255309119 Dl.O(d2) = 256604122,256604120,66000596,258358476,71931594,261136431,113302831,258281384,85354074,99299162,258635022,83867373,70342084,57651474,256820662,27995433,20831174,14932858,254996796,6748660,254324634,2528468,2528478,4228829,6748865,9067277,11512429,7658294,4845583,2919983,1693842,1693843,2919986,4845595,7658315,11512460,16519165,20896002,14992013,10323090,6792303,4258595,2545923,1466733,1466735,2545926,4258600,6792315,10323113,14992057,20896079,28067170,34162598,36533731,36533732,46394234,36533722,28067156,20896070,14992052,14992053,20896072,28067158,36533724,36587083,36587082,31775178,28067098,20896022,20896023,28067100,36533648,255794954,46394307,46394308,257399750,74793539,74793538,256820692,51396459,41203584,32383287,32383289,41203588,51396464,41203606,32383299,256594469,51396490,61919905,50430091,41200811,41200810,51393248,63084703,76084733,89885281,259019429,52347154,64197283,259019427,105486985,105486996,119726162,119726167,115295757,259646753,77344565,64197280,64197281,77344567,77344581,77344582,91264508,260263339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 109240, s2 = 14165188, dlinesl.size( ) = 20 s1 = 14033270, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16008190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16008190, s2 = 14896493, int(edited[s2]) = 0 s1 = 16008190, s2 = 14896493, d1 = 4, d2 = 8 Dl.O(d1) = 199270306,191900008,183331986,173531775,162494771,150362088,137321362,258356836,95144598,81087132,67621433,55283551,44439528,35065421,35065420,29541157,29541156,38104453,43418082,34316759,255631362,53944684,257155500,93520069,107957653,122383709,118539521,118539522,132382174,145630590 Dl.O(d2) = 169447410,179676756,261392468,158033653,261929906,188680587,179676759,179676757,188680586,273213040,263310992,170023602,180189797,189131462,188680589,179676761,262430534,146297256,133069739,119239896,105047434,90868615,76990469,63880076,269398368,256520284,25122746,32826950,268255350,18571071,13196888,13196889,18571074,25122749,32826956,41747202,32826593,32826594,32830859,32830860,41751774,33818366,26001235,19328750,19328748,268508983,41749268,41749269,42859851,42859029,42859030,42859911,42859910,52061143,54592167,53322337,53322335,53322232,48229847,42860144,33818866,26001692,26001691,33818530,26001393,19328868,13821911,9479356,9479357,6215779,3890530,2329414,1350096,770198,770199,1350100,1350143,2329495,3890700,4517908,7172336,10849050,15671365,19328178,19328758,13821841,9479313,6215729,6215728,9479308,13821404,13821403,19328127,19329324,26001220,33818353,42859686,42859678,33818342,33818340,33818341,33818305,33818304,269109209,42859245,33817817,33817818,31229049,23745248,17420031,12278011,8291950,5349498,5349497,8291948,12278009,11841193,11841194,16919481,23185306,16919576,11841278,7913606,7913608,11841283,16919583,23185449,30604453,31229048,30604440,268659075,23185436,16919571,16919572,23185439,30604441,39200883,41909338,41909339,35410434,27285256,27285257,27284462,20349177,14605957,14605956,14924947,20822957,27987663,32969955,41909336,52246300,64093543,77237831,91153422,105371200,119601570,133465465,127868540,260008979,86007488,258141995,48288408,38377687,29805841,22439595,22439596,29805842,33407703,25641065,19024163,19024162,25641062,33407698,42396782,52796359,64710207,77898803,91820032,106014926,120216840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16008190, s2 = 14896493, dlinesl.size( ) = 2 s1 = 16008190, s2 = 14896493, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16008190, Dl.E( ) = 10, 2.1e-05 seconds used appending s1 = 9139364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15452633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1047307, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1047812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1047812, s2 = 16020408, int(edited[s2]) = 0 s1 = 1047812, s2 = 16020408, d1 = 0, d2 = 11 Dl.O(d1) = 26624408 Dl.O(d2) = 43884587,54626942,66884439,80313540,258503877,54619213,43876747,34606128,26618193,19808851,14189006,9753983,254963331,19808854,26618194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1047812, s2 = 16020408, dlinesl.size( ) = 2 s1 = 1047812, s2 = 16020408, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1047812, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 14067669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1368460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6630545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6630545, s2 = 9637543, int(edited[s2]) = 0 s1 = 6630545, s2 = 9637543, d1 = 166, d2 = 237 Dl.O(d1) = 256727361 Dl.O(d2) = 240930835,240444057,239919381,266784749,238063899,238063898,238735386,266843575,240444053,266948115,274903168,266948113,240444054,274891054,239919377,239919378,239351972,238735385,238735386,266843575,240444053,266948115,274903168,266948113,240444054,274891054,239351970,238735384,238063897,237325187,236514135,235625938,235625939,235625940,266577385,238063900,238735388,239351976,239919374,239919373,240444053,239919382,266897779,240930836,266994985,240930836,274774040,266577385,266721269,239351977,239351968,266721267,238063896,238735383,238063897,237325187,236514135,235625938,235625939,234651483,233583426,232409556,231111270,229663005,265689987,224035076,221570894,218698309,215289083,264713585,206098378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6630545, s2 = 9637543, dlinesl.size( ) = 42 s1 = 14078131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078131, s2 = 6682808, int(edited[s2]) = 0 s1 = 14078131, s2 = 6682808, d1 = 25, d2 = 70 Dl.O(d1) = 76748307,63656092,51861078 Dl.O(d2) = 257291371 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050872, s2 = 13337498, int(edited[s2]) = 0 s1 = 11050872, s2 = 13337498, d1 = 14, d2 = 9 Dl.O(d1) = 42419398 Dl.O(d2) = 27095783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050872, s2 = 13337498, dlinesl.size( ) = 2 s1 = 11050872, s2 = 13337498, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11050872, Dl.E( ) = 36, 1.19e-05 seconds used appending s1 = 1371165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6542178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6542178, s2 = 2657797, int(edited[s2]) = 0 s1 = 6542178, s2 = 2657797, d1 = 10, d2 = 5 Dl.O(d1) = 255773156,254700988,254700986,55060568,66026865,54562337,43823427,43823431,54102664,43517602,43517606,54102679,66230028,63653114,54777697,44012229,44012233,54777710,61004580,61004582,49577955,49577956,41579723,32683023,25004105,18477614,13126976,8946698,5839904,3644485,3644482,5839839,5839843,8946569,12731603,8651280,5627063,5627067,8651263,12731553,17965753,24360581,31887973,40596041 Dl.O(d2) = 74962266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6542178, s2 = 2657797, dlinesl.size( ) = 2 s1 = 6542178, s2 = 2657797, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6542178, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 15975827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15975827, s2 = 7202537, int(edited[s2]) = 0 s1 = 15975827, s2 = 7202537, d1 = 62, d2 = 58 Dl.O(d1) = 255943575,16629706,255943577,30249868,256987635,48753579,60147912,57837255 Dl.O(d2) = 46415267,57768781,70467729,269840402,111801141,125615561,138953702,151658504,163540322,174384346,262771610,199778208,205933160,205933158,263943526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15975827, s2 = 7202537, dlinesl.size( ) = 2 s1 = 15975827, s2 = 7202537, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15975827, Dl.E( ) = 66, 1.6e-05 seconds used appending s1 = 11127870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14925855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14925855, s2 = 8633917, int(edited[s2]) = 0 s1 = 14925855, s2 = 8633917, d1 = 69, d2 = 55 Dl.O(d1) = 62823900,62823901,74012428,61231791,257045825,39734039,39734283,40026425,31346633,31346635,39733975,31055886,31055885,36853635,39733828,31055766,255545705,12140798,8170302,5239387,3198534,1872396,1872397,3198535,5239389,8170310,12140814,12140840,12140839,17261082,23572375,31055914,39734009,31056156,23572527,17261185,12140894,8170356,5239409,3198549,1872404,1068011,600226,254088687,183928,334376,600232,1068022,1872424,3198581,5040046,3358779,3358778,5305236,5305239,8221508,8236409,5462821,5462820,5256623,3212801,3212802,4832271,7637820,7255964,4576194,2753258,1905132,1905130,3245738,2753032,2753036,4575807,5241834,8172686,8223067,5308703,3258885,1914657,1914660,3258895,3225423,3225422,3268180,3239612,3239615,2699013,2699010,3223193,1900887,1085052,609374,609373,1085044,1089611,942730,942732,1656856,1656872,1656893,1654952,941614,941613,1654951,1655132,2852352,3231956,1895534,1081875,1081873,1895531,3229651,2852662,2852663,3234250,1897149,1082846,608154,338432,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915247,1097619,616124,616123,1097615,1921401,3268217,5319374,7303845,5321055,3269891,3269892,3220819,3220817,3220790,3220791,3255199,5275942,3230179,3230176,5275936,254584043,4958403,2993794,1738437,987879,555785,555783,987868,254247841,4958382,3045799,3045798,5031537,4962271,4962272,7307574,4611615,2776601,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776511,2781127,2781129,4618684,7316229,11041605,11041937,11041152,7315450,7315451,11041154,7316493,4618665,4618666,7316496,11041948,11044198,8191180,5260478,5260479,8191182,11038489,11051000,11051001,12147670,12153698,11033309,11026687,7300905,7300906,11026690,8152608,8152609,8181233,7511670,4748428,3208165,3208166,4754804,5297454,3248293,3248294,2780879,1613155,917649,517658,290405,160736,88419,88416,160724,290391,517624,917575,1612994,2780556,4617750,7315322,8183906,7822913,254370765,2998667,4964801,7822909,7320139,4968270,4968272,7827197,5223754,4965039,4965040,5224701,7823674,6355120,6355119,7825463,8358285,7824930,7824931,7824913,7824243,4965965,4965966,4965373,2998980,1741920,989800,556764,556765,989810,1741938,2998847,1741655,1741653,1920209,1920207,1741644,989659,989658,1741640,1863660,1863658,3184486,3183438,3183437,2778892,1612099,917148,917149,1612106,2778905,4614849,5224996,7493774,4736993,2854883,2854882,4736988,7493760,11286902,7822750,7822714,7822715,11720584,8153489,5224422,5224417,5224418,3358480,3358481,4964662,4964661,5223395,8152287,8209416,5280288,5280287,5464269,3360137,3184291,3184292,2999201,2999203,3357922,3357923,5305405,3255910,3255911,3231030,3231031,254582645,3293625,1937101,1106481,1106482,1937106,3293635,5358004,8304129,8231974,5303868,5303869,8231976,10802593,7137781,4493850,4493851,7137784,10802597,8456464,268001233,11283478,7490492,7490493,11283481,16230869,17286335,12165432,8196799,5295043,4676715,2817470,1634523,929502,523927,293606,293605,523923,929491,1634500,1595503,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098294,1098293,1919431,1919429,254395821,1909471,1095448,1095447,1098287,616503,342696,254105353,1098283,1917841,3263419,5314082,5280792,3234067,3234065,5280791,3269888,1922728,1922725,3202938,1891375,1891374,3226123,5271679,5319724,5298140,4610285,4610286,5295801,4625035,4625036,7324063,11048875,8241466,5313224,3262637,1917297,1917296,3195775,1870677,1870678,3195777,254347037,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214340,3233248,3233247,5279706,8208633,11036594,13170891,8978279,8178160,7468899,4720001,2843658,1649635,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,166964,166961,301498,537492,953214,1675372,2886647,254536659,11396637,16375505,255588225,21190683,15227758,10504098,10504097,7374751,4659108,4659109,7374752,9862987,9890236,14354444,20038759,255055079,10895438,15731815,21661868,15625974,10812228,10812231,10812612,7145304,4499254,4499253,7145301,4532500,4532501,6506536,4077312,4077313,4659074,4659073,7374712,11118687,254764508,2806968,1628394,925952,521937,521934,925946,1628382,2806942,4659038,7374651,11118623,14377177,15227845,14364301,9870919,9870916,7223737,6507633,4102973,4102970,4102958,4102956,6549262,6489906,255324829 Dl.O(d2) = 191436252,262366828,161728623,172886199,182784370,262836938,182784376,172886204,172886203,182784375,264670027,264827488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14925855, s2 = 8633917, dlinesl.size( ) = 58 s1 = 7571064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7571064, s2 = 8111609, int(edited[s2]) = 0 s1 = 7571064, s2 = 8111609, d1 = 10, d2 = 13 Dl.O(d1) = 268214870 Dl.O(d2) = 254511072,9884659,9884656,14378651,20062811,25884226,254846724,42720884,38630923,30056732,22680091,21636948,17451843,17451842,23781927,31266986,29129777,26926748,26926745,35008413,255324498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7571064, s2 = 8111609, dlinesl.size( ) = 8 s1 = 13387617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6705669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6705669, s2 = 14144745, int(edited[s2]) = 0 s1 = 6705669, s2 = 14144745, d1 = 106, d2 = 15 Dl.O(d1) = 257548836,35051709 Dl.O(d2) = 48801320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6705669, s2 = 14144745, dlinesl.size( ) = 60 s1 = 6562634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6562634, s2 = 2032613, int(edited[s2]) = 0 s1 = 6562634, s2 = 2032613, d1 = 16, d2 = 6 Dl.O(d1) = 255996777,29727834,29727833,38294803,48204205,44435911,35061902 Dl.O(d2) = 52831225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6562634, s2 = 2032613, dlinesl.size( ) = 2 s1 = 6562634, s2 = 2032613, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6562634, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 1380913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1380913, s2 = 11277710, int(edited[s2]) = 0 s1 = 1380913, s2 = 11277710, d1 = 26, d2 = 34 Dl.O(d1) = 35132573 Dl.O(d2) = 258749104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1380913, s2 = 11277710, dlinesl.size( ) = 30 s1 = 9338196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9338196, s2 = 11076665, int(edited[s2]) = 0 s1 = 9338196, s2 = 11076665, d1 = 0, d2 = 0 Dl.O(d1) = 15807171,10953547,10953548,15807172,21883163,29195165,27050212,255332543,9948859,6538737,6538738,9948864,12991351,8844180,8844181,9956384,9956385,10358927,6822936,6543948,4099794,4099792,6543943,9956692,6543983,6543982,9953448,6541647,6541648,9953450,9951926,6540681,4097842,2451446,1417292,1417293,2451449,4097848,6540691,9951942,14465081,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226063,22383982 Dl.O(d2) = 15807171,10953547,10953548,15807172,21883163,29195165,27050212,255332543,9948859,6538737,6538738,9948864,12991351,8844180,8844181,9956384,9956385,10358927,6822936,6543948,4099794,4099792,6543943,9956692,6543983,6543982,9953448,6541647,6541648,9953450,9951926,6540681,4097842,2451446,1417292,1417293,2451449,4097848,6540691,9951942,14465081,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226063,22383982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9338196, s2 = 11076665, dlinesl.size( ) = 2 s1 = 9338196, s2 = 11076665, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9338196, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14086898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086898, s2 = 9491060, int(edited[s2]) = 0 s1 = 14086898, s2 = 9491060, d1 = 10, d2 = 9 Dl.O(d1) = 261310763,262358893,167617008,178080620,187318578,188386358,179348131,169077086,157634975,145225695,131991713,118174408,104018176,104018175,118174406,271027724,76091038,258972951,63090187,51398015,42034667,33087188,33087187,42034665,37158218,37158219,37158221,28642545,21401531,255033919,10655341,15414771,255832203,37158222,47048769,258052549,55363231,44517016,44517017,44517010,35140418,27054821,20161302,14463623,9950850,9950851,14463625,255748681,35140427,257315219,55363232,67702994,67703005,55363231,44517016,35140421 Dl.O(d2) = 43040711,35140417,27054821,27054822,35140420,44517014,35140424,35140423,269193815,35140424,35140423,256749505,27054825,20161305,20161304,255297089,9550875,6266786,3923684,2348976,2348977,3923687,254671265,13915610,19446213,26143402,33983175,257251579,43375036,34276221,255718307,19667142,26401243,34276222,43375038,53898806,259110473,79328305,93458877,81293298,81293299,259799925,112587821,259920671,84671153,71107932,58391110,47019777,47019776,58391107,256860895,28620141,21383308,21383309,28620143,37132186,47019781,58391111,71107933,84671155,98594419,112587826,126455970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086898, s2 = 9491060, dlinesl.size( ) = 6 s1 = 15985129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028723, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6685589, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16335083, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1066966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1066966, s2 = 15456939, int(edited[s2]) = 0 s1 = 1066966, s2 = 15456939, d1 = 6, d2 = 89 Dl.O(d1) = 27198213 Dl.O(d2) = 258810148,137492275,272232518,183451627,262760586,205593404,264249582,221319778,222016191,222016190,222016191,264989930,215868573,215868574,211837979,211837978,215868573,264758952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1066966, s2 = 15456939, dlinesl.size( ) = 2 s1 = 1066966, s2 = 15456939, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1066966, Dl.E( ) = 94, 4.22e-05 seconds used appending s1 = 15412235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16036293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16036293, s2 = 16241218, int(edited[s2]) = 0 s1 = 16036293, s2 = 16241218, d1 = 4, d2 = 0 Dl.O(d1) = 270347235,48978216,48978215,39055975,30465859,30465860,39055976,48978218,46870788,36992007,28494519,28494518,256850607,36992008,257429135,70955389,58238479,46870789,256311465,21277325,15315250,15315249,254728213,4383803,2625894,1515896,1515895,2614526,4362764,254724645,10525659,15256643,21227046,28454282,36954933,46833271,58199329,70911855,81584273,81584274,81584275,68094444,55696983,44789695,35365368,35365367,44789694,55696981,257010023,30564806,30564807,39162429,42136154,33178364,33178363,31580574,24074995,24074994,25434852,268492071,39162378,42136196,33178423,25434779,18839604,13422719,13422718,18839601,25434772,33178417,33178501,25434854,25434855,33178503,36490808,28028461,20861215,20861214,28028459,36490805,36490839,42136358,37287846,37287845,42142894,33183391,33183390,37287855,28753936,21494606,21494605,28753934,37287853,47196228,42136368,36885236,33178615,33178616,42136336,42136170,33178387,25434746,25434745,33178384,25434831,18839640,18839641,25434834,33178444,255093642,52493100,58131529,46763714,46763713,58131498,46763698,36885288,28388587,21169887,21169886,28388583,29689014,22336410,22336409,16188691,11252868,11252869,16188684,16188685,22336403,29689004,38254176,257061280,85876324,92977460,78865284,65529139,65529140,268302858,34189538,33701555,33701556,42646655,33619065,33619066,42646657,53097272,57725474,57725473,64569958,52669594,47811647,37889508,37889509,47811648,59210218,48567230,48567229,48551050,48551049,59943246,72682283,65529126,59150305,47751750,47751746,47751747,59150299,59959206,59959205,70999567,70999565,58284344,46918456,37040485,28541623,21318099,21318101,28541626,37040491,46918468,58284357,70999579,84563534,97884351,85421585,84015580,70481737,70481735,84015577,97884353,97884354,269652382,97884369,84015597,84015596,88404568,88404566,86702920,74772888,61976497,50484131,50484129,61976490,74772850,61976461,50484106,40447655,31752488,31752487,40447653,50484102,52798377,42398711,40447667,31752493,31752491,40447664,50484122,57781549,46426565,36562364,255677444,255004711,6807843,4269797,4269798,6807845,10341168,255366505,28092374,36562412,46426634,57781471,57781466,46426508,36562328,28092325,28092324,36562325,46426502,36562357,28092340,28092339,36562355,46426551,57781527,57781625,46426637,46426639,46426620,36562403,36562404,46426623,57781608,50479837,50479835,53900715,43376814,254657042,28092336,20918141,15011883,10341163,10341162,15011881,20918137,28092328,36562333,46426518,57781478,62021240,57781513,57781514,57781553,70481702,79330148,65966972,255273142,62021223,50529229,40493559,31798490,24284457,24284458,31798491,40493560,50529231,62021226,74818114,73510426,73510360,70481636,57781482,46426520,36562334,36562335,39428150,39428151,256478365,30730860,257023243,38425884,29862087,22499350,16325127,16325126,255045262,7545834,4772447,4772446,7545833,5147994,5147993,5153750,5153752,8061296,11978427,8052261,5142912,5142911,8052255,8028330,5117459,5117458,8028323,5173337,5173338,5118217,3109208,3109209,5118561,3126673,1827781,1823502,1040869,1040867,1823494,3108036,5116885,5112474,4679226,2819055,1635484,930030,930027,1635466,2819020,4679162,5101012,8012561,5139832,5101662,5101663,5177785,5152636,5152637,5145492,5145491,7523621,5102109,3097006,1809582,1033552,582459,582456,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1036945,584129,326412,180179,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,7526500,5167743,3149968,3149969,3135184,3135186,5128260,5128262,8037616,5127786,3116568,1821330,1039768,585532,585533,1039772,1821343,3116590,5127837,5161564,8046594,11977256,11977255,8036210,8036211,5127966,5127963,8037787,8020725,8020724,9857620,6475272,4057774,4057772,5111889,8022960,8059742,8059743,5175689,5175688,6476091,6476090,9858727,14347463,9857580,9857581,9857603,9857602,7795426,7795428,11689049,11986722,16717889,11676038,7784768,4934931,4934930,2979652,2979651,254552813,7914466,5031193,3045593,3045594,4944035,4944036,7750228,7750227,11633667,16667902,14348237,9858286,9858285,11633817,11676183,7784858,4934966,4934967,7784863,11634429,7750709,4908528,4908530,7750720,11634039,11095060,11095056,15982050,22088601,29419130,22954395,16717771,11675935,7784699,7784696,11675927,16717757,22952475,30354316,38940555,38366655,30655082,30655081,30297158,22898761,16668419,11634086,11634085,15008448,20913695,17091228,16668583,11634178,11634181,16668402,11634074,7750488,7750486,11634059,16668381,22898724,23271548,17009334,11923288,11923287,17009332,23271545,30356452,22954765,22954766,30356454,38882347,38882348,30762893,28588187,21357223,15379867,15379868,16718360,11676509,7785138,7785136,11676498,16718341,17009397,17009396,17009359,16261099,11305685,7506055,7506054,11305678,16261079,17021551,254129794,7988863,5140419,5140424,8018667,8040146,7522404,7522405,11325922,254175600,16288548,11331821,7529448,4762628,4762627,4481322,4481321,7117530,8076888,5171988,5171987,8076886,8159185,8159184,12127468,16559141,17007692,15572987,15572986,11870349,11870350,254376944,17007357,11920719,10844727,10844728,15665755,11916365,11916366,11903874,11903873,11980095,8028198,5117330,5117328,8028194,11980091,11984330,10770727,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,7968909,7968910,11913023,8474876,8474877,12509997,17242869,23550940,23265582,17001873,11915203,11915202,16261288,11327140,11327141,9163552,9163553,13403323,15665762,11907414,11907413,12017996,9163629,9163628,11906737,11906739,11939767,10771552,7117062,4481047,4481048,7117067,7939390,5172106,5172107,5044095,5044094,5071667,5071666,4481161,4481162,7117258,10771834,13637026,13637025,19100495,22427779,28877760,28493006,28493007,267826342,15573418,10772560,7117788,254339308,14988784,14988783,16337060,16337062,22510842,29870152,38431197,40972898,32192932,24604716,18156407,12875148,8756039,5700819,3547317,2112409,2112410,254428687,8756041,12875149,18156408,24604717,32192933,256314644,51115101,62746378,75693788,89459047,103557846,259912478,259179539,258550729,55669204,44758744,35330761,27205447,255340589,10011037,6579788,4122451,4021744,2409779,1394333,1394335,2409791,2874488,4768168,7537367,10013882,6581610,4123612,4123611,6581605,10013874,14180827,19797514,26604101,21902519,19794316,19794317,16920704,16920703,23186899,27211876,26610813,19802941,14184735,9751168,6411586,6411585,9751164,14184728,19801351,14183533,9750389,9750388,14183527,19801344,15821940,10964669,254515765,4577266,7257738,10964666,15821935,21901470,22402234,23696097,23696095,31185747,39309875,268425661,23295720,30712202,256490633,24014643,17666871,17666870,23295713,23295712,30712188,39309860,256520558,255930527,16494130,11491973,11491974,255488735,30077685,38654533,31515579,24014694,17666901,12492963,12492962,17666899,24014693,24014668,17666886,12492957,8461498,5467185,5467184,8461496,255188881,17188078,17188077,23468309,30292600,23295715,23295714,30712193,39309865,49236625,49853343,50224398,50224392,40202049,40202048,48570432,40202075,31515568,31515569,40202066,256382340,37978005,47895341,59290909,59672733,72027350,85615774,74489125,72027361,59290955,47895380,47895379,58944952,71666693,58944951,47562064,268623939,21807845,21807846,29106464,37656052,47562068,58944956,71666698,58945074,58945073,71666782,71419614,71419613,84993074,256929830,71666760,85231891,99154139,101696937,256929846,61336222,257509970,101696938,256968698,85973268,85973267,87723633,99938312,85980219,255927384,59650558,55410541,55410540,58945061,58944927,47562049,47562048,48257208,38346812,29775345,22411428,22411427,29775343,26261543,19541882,19541881,26261541,34127749,43215537,53727533,58809268,256888059,28970888,28970890,37514188,37514187,256968694,47421897,37514204,37514203,47421884,37514196,28970828,21688915,21688914,28970826,37514194,47421880,58809101,258079045,72027373,64578463,55740597,44832701,35407288,255798868,43850511,34578700,34578701,43850513,43850516,269172595,72030796,59294446,59294445,72030794,72030728,72030729,85619277,269961606,72030717,59294346,59294347,66853971,66853970,80283633,72030725,72030724,72030720,72030721,70851247,70851248,79296148,65933551,65933550,79296147,85619294,72030760,72030759,64752635,52833251,42429333,42429332,47781268,47781266,42429320,42429319,52833224,64752605,64752639,77946829,71571757,256186526,77946821,70862029,70862028,72672657,59933281,254677068,72672666,254957422,38625984,30052109,30052108,38625987,48540687,59408588,48022084,48022083,59408586,59408582,53866519,53866518,65933185,72047098,254957420,47918364,59312022,72047101,79295828,72138396,255306152,72672641,85634893,254463050,47918306,47918305,47918354,38002496,29439410,254957430,47918357,53866944,53866950,43342529,34242875,26366158,255306148,43341921,43054259,43054258,47918316,43054250,43054249,53534110,268163768,53866376,53866372,53866373,53729327,48570444,48570443,43217477,34129785,34129786,34242771,26366054,19633322,19633323,26366056,34242773 Dl.O(d2) = 50433471,50433514,256186520,31708657,40400277,40400112,40400113,40400073,40400074,31708595,24201243,24201242,31708592,40400205,40400206,255306110,40400219,40400180,40400181,50433368,40400069,31708462,31708461,29741055,22382271,16224825,11278855,7486986,7486985,11278853,12626744,17831993,24201241,256186566,50433469,40400271,31708654,24201280,24201281,31708656,40400274,50433417,50433420,53866530,43342091,43342090,46650673,58023207,47899415,37982274,29419423,29419425,35062295,44436300,55280409,60551252,50433434,50433433,50433501,43342337,43342336,50433492,40400240,31708619,24201256,17832003,17832002,24201253,31708612,40400236,256186570,73004030,86601461,76733838,63642616,51849951,41563051,32669839,24993751,18469840,18469839,17191781,17191780,23473132,24830098,24830097,32469537,41314886,51535699,63252413,76271736,90083990,104216157,100210714,86242612,72640215,59898594,48504782,38589776,30017221,22645120,16454777,16454776,22645119,30017219,38589772,48504777,59898592,63775612,268796004,32743462,29128033,29128031,37690041,47615007,59019050,71763039,84664915,71101640,58384829,47013567,37126428,37126427,35398231,35398232,40044839,40044840,43858628,34588307,26601544,19795214,19795215,20333999,20333998,22633078,16445687,11458453,7621559,4822162,2905872,1685621,1685620,2905870,4822158,7621554,11458442,16445666,22633071,19797036,19797035,19793282,19793281,24120672,17759409,12567065,8522137,8522136,12567063,17759406,24120667,30741994,30741993,39341067,39485043,43040289,53518565,58003818,50182345,46615581,36727820,28233905,23448626,17172641,17172638,254186956,39485045,267845930,47334658,37426278,37426279,254600142,49265138,39339072,30740480,23320302,17055540,11964712,8009143,8009142,11964708,17055530,12445841,8414208,5430103,5430104,8414212,12445854,17625743,23973602,31469269,31482043,23985256,23985225,23985226,17639514,17639511,23985229,31481996,40166816,254135882,39441575,39441579,48957386,52330709,57706274,57706273,46504666,46504665,267911614,49370306,48341903,48341904,59726305,60666617,55266625,44419268,44419269,55266626,58004150,53374726,53374727,59394574,59394572,50193436,254405428,58678159,47286987,37377388,37377389,38142180,29575445,22228146,22228148,21755678,15701423,15701420,21755665,29049508,31476556,31476554,28245099,21045538,21045535,28245065,28245021,24542277,23978696,17631758,17631757,255572888,256531450,57724233,57724234,47903535,37987906,37987905,47241497,58635075,71371908,72034396,59298139,256383004,37987819,47903473,255788860,48201661,38292295,38292294,48201659,256275808,257391986,58062387,70780064,59308408,59308407,58465165,47087014,37191333,37191334,37191348,47087030,58465179,258115184,58814592,256888667,28976140,28976141,37519924,37519923,47427645,47154161,47154162,58542562,50259150,40239843,31553859,31553858,257085813,37519578,28975823,28975822,28976228,28976229,28975941,21693311,15652895,10834185,10834183,10834238,15652991,21693483,28976185,37249077,28718177,28718175,37249071,28975779,25990883,19320052,13815013,13815012,19320051,22728737,26192629,26192628,28901982,22464059,22464060,16523266,11515461,11515462,16520658,11513567,7658976,7658975,11513566,16520656,21454270,21454267,22725849,22725848,30106844,36772539,36772533,28276854,21072900,21072884,15136851,15136850,16105711,13380937,9146318,5985397,5985398,9146325,13380947,18786679,22241342,16105234,16105235,11187065,11187064,16105645,16105899,22242210,22242220,255896755,38156339,38156340,46722857,36840061,28343300,25370876,18786668,18786669,25370877,29589651,26658245,26658247,34649576,43922803,54665351,58094983,46722871,36840074,28343308,21130997,21130996,28343306,36840071,38156350,48068896,38156383,30810693,256483843,29589740,29589739,25676274,25676273,33447115,42440156,52844660,64764520,52844592,42440044,42440043,48068897,52844596,52844580,42440019,39415748,30810547,25675978,25675977,33446791,25675998,19054254,13602469,13602470,19054256,25676001,33446833,33447178,33447183,42439900,47774042,42440211,33447153,25676290,25676289,33447147,39804261,49825196,50334113,40308094,31619773,31619774,40308096,48098004,48098003,59381678,59381461,48097972,38186477,38186476,40724317,40724316,50828278,62410185,257666608,47692148,47692147,59090829,71830994,71830998,59090845,47692173,47692172,58017206,255274674,30829150,23401337,17128927,17128926,23401336,30829146,31518427,39433093,48558422,39433139,30829243,23401386,23401385,30829237,30829116,256485025,49362261,53313163,42850662,42850661,50231771,40210797,31524791,31524790,39715622,31038164,23556152,17247124,17247126,14980942,10312966,10312967,14980946,20883550,28052460,36516978,40213612,31527774,31527773,40213610,254408748,48511261,57726494,46376211,46376210,50227589,50233931,50227672,40206209,40206210,50227673,58697763,60731980,49330149,49330148,50232288,40211394,40211129,31525116,24023168,24023166,30024481,31527784,24025614,22103820,22103819,17670465,12495657,8463965,8463963,12495652,17670448,24019363,31520703,31526050,31519457,31519456,31525443,36517050,28052526,28052525,36517047,46376254,57726523,61710287,50230109,50230110,254862798,61708485,50232645,50232644,50227898,50227897,48511139,38596529,30024155,22651358,22651359,30024156,254106452,254187742,40213584,48510691,38595889,38595890,30024135,30024134,24025513,24025512,24024377,24024376,31526239,40212021,50232650,50227866,40206479,40206480,48511239,38596707,30024409,30024410,254603354,47808289,254518690,254563844,22104172,22104171,29436872,37999662,47915642,50232612,40211938,40211936,50232607,48366994,48366993,49925810,40211939,40211940,40215134,40215135,47944255,47910902,37994863,29432454,22100425,15990758,11100805,11100804,14238423,19873035,22104186,15993590,11102687,11102686,15993587,22104181,29436884,37999673,256029828,72045423,260581099,140832539,263140495,193742034,200832194,206815846,211760609,215801225,219142942,221964243,264808646,222236952,219452128,216155248,216155249,263966536,273742792,207304139,201395849,194374784,186179980,186179979,194374786,201395850,207304141,212176083,216155252,216155255,262802344,207304143,207304142,207304141,263231690,219452130,216155255,216155254,219452131,222236954,224627452,226703259,228512627,230102731,231514008,265596600,232779087,232779086,274669103,265596598,231514006,230102730,228512626,264808644,224627451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16036293, s2 = 16241218, dlinesl.size( ) = 2 s1 = 16036293, s2 = 16241218, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16036293, Dl.E( ) = 6, 1.22e-05 seconds used appending s1 = 1880483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8114473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1070451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1070451, s2 = 889242, int(edited[s2]) = 0 s1 = 1070451, s2 = 889242, d1 = 14, d2 = 10 Dl.O(d1) = 27263714 Dl.O(d2) = 22685212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1070451, s2 = 889242, dlinesl.size( ) = 8 s1 = 7920237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1072745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1072745, s2 = 13421059, int(edited[s2]) = 0 s1 = 1072745, s2 = 13421059, d1 = 19, d2 = 10 Dl.O(d1) = 27626189,35919259,45564315,56705634,59341525,56907501,56907504,56830342,45660486 Dl.O(d2) = 4186840,6681206,10166733,14782271,20611811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1072745, s2 = 13421059, dlinesl.size( ) = 2 s1 = 1072745, s2 = 13421059, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1072745, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 11104590, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11194074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194074, s2 = 4824964, int(edited[s2]) = 0 s1 = 11194074, s2 = 4824964, d1 = 0, d2 = 21 Dl.O(d1) = 36379005 Dl.O(d2) = 197840814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194074, s2 = 4824964, dlinesl.size( ) = 28 s1 = 6506837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6506837, s2 = 11277942, int(edited[s2]) = 0 s1 = 6506837, s2 = 11277942, d1 = 13, d2 = 10 Dl.O(d1) = 255357097 Dl.O(d2) = 113666074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6506837, s2 = 11277942, dlinesl.size( ) = 2 s1 = 6506837, s2 = 11277942, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6506837, Dl.E( ) = 44, 2.29e-05 seconds used appending s1 = 623657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1397978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15968769, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6635550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1404281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1405122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1405869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7887136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7887136, s2 = 1875089, int(edited[s2]) = 0 s1 = 7887136, s2 = 1875089, d1 = 74, d2 = 61 Dl.O(d1) = 39462685,46487080,254644014,20968220,20295460,14564164,14564167,19319718,13814716,13814712,19319715,21625161,15594439,12210039,12210037,17335788,20934996,20934997,28111719,36584186,46449892,268198704,256281602,84042128,84042130,256421916,58137508,58137509,49391046,49391045,59993550,48601693 Dl.O(d2) = 48610863,60002169,72738903,86336115,100297967,109768083,114328119,128210809,141566570,128210812,114328122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7887136, s2 = 1875089, dlinesl.size( ) = 2 s1 = 7887136, s2 = 1875089, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7887136, Dl.E( ) = 78, 2.12e-05 seconds used appending s1 = 13496321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6588861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6588861, s2 = 8214149, int(edited[s2]) = 0 s1 = 6588861, s2 = 8214149, d1 = 45, d2 = 55 Dl.O(d1) = 256296318 Dl.O(d2) = 271984507,259652215,260864603,146927461,146927463,133670009,260268691,91341508,77422013,64271678,258398047,64271674,77422011,91341504,77422007,259024927,91341507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6588861, s2 = 8214149, dlinesl.size( ) = 2 s1 = 6588861, s2 = 8214149, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6588861, Dl.E( ) = 74, 2.1e-05 seconds used appending s1 = 6508342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6508342, s2 = 11512008, int(edited[s2]) = 0 s1 = 6508342, s2 = 11512008, d1 = 93, d2 = 60 Dl.O(d1) = 255372289 Dl.O(d2) = 205989993,211071832,205989992,205989991 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8031453, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1088503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14506626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14506626, s2 = 14890658, int(edited[s2]) = 0 s1 = 14506626, s2 = 14890658, d1 = 1, d2 = 1 Dl.O(d1) = 8739584,11257071,11257073,15360449,15360450,10659195,7039078,7039079,10659198,7155810,7155807,10826552,10978485,15842385,18047782,15360442,10612313,9654457,7051919,7051916,10676382,13357109,18758198,25337900,28219332,36712009,46600228,57977389,70695319,269940816,57977385,46600225,46600226,57977387,70695318,70695321,84247112,98140811,98140812,84260335,259271137,112113623,261071169,126514294,112649957,98653673,84723733,84723734,259408900,74757920,61957810,50461783,50461782,61957809,258914335,72666006,72666007,74757923,61957814,50461785,40424268,31730596,268263463,17851360,268449465,12642019,8583788,5577680,3460578,2052087,1177127,1177128,254282835,5577685,8583797,12642030,17851365,24222580,31730609,32565344,32565345,41425509,43860971,43860970,49361315,53076207,65058539,70695168,59260765,52553087,42194433,33234292,25485423,18882461,13456047,13456048,12533735,8495376,8495374,12533730,10896314,10896315,15732884,21791088,15732874,15732875,21252883,15288021,10553391,6960388,4373154,4373153,254726359,15288009,21252862,28472832,29717615,29716040,22360160,16208692,16208691,16208655,16208653,22361732,22363379,22363381,19581450,14028859,9644780,9644779,9921904,14423479,12329645,12329641,17486776,18879154,16208724,11267422,10245739,6731935,6731933,254722622,20793686,27955107,36413311,34172420,34172419,28219632,28219630,36712292,36712315,28219650,21024518,15100456,10414459,10414460,15100334,21024248,21024249,255265705,13491673,18925051,255284030,21023930,15099952,10414143,10414142,15099948,21023925,28219027,36711691,28219594,21024462,21024461,15100340,10414384,10414385,15100344,21024472,28219495,256290809,21024599,21024269,15100186,10414287,10414288,15100189,15100425,21024575,28219309,36711995,46600211,36712020,28219343,21024213,15100143,10414258,6864786,4308286,254717027,15100137,21024201,28219330,36712007,36712026,28219351,268200503,10414261,6864788,4308287,2576119,2576120,4308288,6864790,10414264,15100150,21024228,28219358,36712031,46600246,57977404,70695341,84247134,98140835,84521354,70957982,58241291,46873730,36994910,28497403,21279877,15317413,15317411,21279873,28497394,36994901,46873718,58241277,70957962,60697150,49295743,39368326,39368324,49295736,60697139,73445065,87062550,101058271,272243653,115132935,115132934,271283282,142434854,129060798,129060797,142434852,155079260,166776338,177331304,262121356,142435976,131426624,131426625,144649509,157047942,157513339,168978230,179265824,188317805,195800142,195800143,196201619,196201618,201837209,201837208,201837213,194905140,186808413,186808414,177515787,166999597,155347068,142755581,142755580,261267464,174233826,261210320,142755582,129436423,129436420,142755560,137571540,123884053,109738505,95528770,95528769,95528773,95528771,109738506,123884054,111670621,258234488,61194518,61194519,68009055,268672166,77549095,70370411,255936140,46331798,256435440,83894940,97751796,109738500,95528765,95528764,81492989,68009062,57678598,46331793,255936138,70370407,68009066,255543248,35302876,254576878,267905130,35302873,44722331,55621190,68009059,81492985,95528777,81541591,81541590,95572004,109772133,101623053,87656114,87656113,101623050,101623048,87656110,74052792,61272913,49793831,49793832,61272915,62652959,51026882,40889492,40889493,51026885,62652966,75595313,259576073,89356431,258290530,62652971,75595308,62652957,51026881,51026880,256737350,87656135,81090922,270658983,103451784,103451785,117582110,129549199,115663508,115663509,109344641,101623057,101623058,99770142,99770143,113783381,125997682,112161540,98198990,258886656,73547655,60800522,49399795,39471320,39471319,49399793,60800519,258844553,85817378,72225098,258750693,99638076,87656137,87656138,99638078,99638079,101164279,87166135,87166136,99638060,85689131,72103267,257486132,38068166,38068164,38068165,38068176,38068177,269330568,47695102,59093523,71833398,259345659,113365039,261141799,127650944,271766960,85817383,259993605,127650941,261718239,165445129,176126738,185590947,263899047,193772163,193772162,185507075,176035867,261828228,127522677,127522678,261710255,273119631,175096826,182961086,182961087,191594307,199014500,205289216,263769964,161925450,149628125,136362431,122378352,122378351,136362429,140840798,271814190,118599236,104415105,90263099,76432488,63388815,51646071,51646072,63388816,76432490,259405004,98549299,112543204,260057108,260363927,93515170,258483839,258483841,93515129,79378632,66010372,269147011,43413064,43413060,34311720,26433763,19695578,14121905,14121904,19695576,26433758,34311713 Dl.O(d2) = 8739584,11257071,11257073,15360449,15360450,10659195,7039078,7039079,10659198,7155810,7155807,10826552,10978485,15842385,18047782,15360442,10612313,9654457,7051919,7051916,10676382,13357109,18758198,25337900,28219332,36712009,46600228,57977389,70695319,269940816,57977385,46600225,46600226,57977387,70695318,70695321,84247112,98140811,98140812,84260335,259271137,112113623,261071169,126514294,112649957,98653673,84723733,84723734,259408900,74757920,61957810,50461783,50461782,61957809,258914335,72666006,72666007,74757923,61957814,50461785,40424268,31730596,268263463,17851360,268449465,12642019,8583788,5577680,3460578,2052087,1177127,1177128,254282835,5577685,8583797,12642030,17851365,24222580,31730609,32565344,32565345,41425509,43860971,43860970,49361315,53076207,65058539,70695168,59260765,52553087,42194433,33234292,25485423,18882461,13456047,13456048,12533735,8495376,8495374,12533730,10896314,10896315,15732884,21791088,15732874,15732875,21252883,15288021,10553391,6960388,4373154,4373153,254726359,15288009,21252862,28472832,29717615,29716040,22360160,16208692,16208691,16208655,16208653,22361732,22363379,22363381,19581450,14028859,9644780,9644779,9921904,14423479,12329645,12329641,17486776,18879154,16208724,11267422,10245739,6731935,6731933,254722622,20793686,27955107,36413311,34172420,34172419,28219632,28219630,36712292,36712315,28219650,21024518,15100456,10414459,10414460,15100334,21024248,21024249,255265705,13491673,18925051,255284030,21023930,15099952,10414143,10414142,15099948,21023925,28219027,36711691,28219594,21024462,21024461,15100340,10414384,10414385,15100344,21024472,28219495,256290809,21024599,21024269,15100186,10414287,10414288,15100189,15100425,21024575,28219309,36711995,46600211,36712020,28219343,21024213,15100143,10414258,6864786,4308286,254717027,15100137,21024201,28219330,36712007,36712026,28219351,268200503,10414261,6864788,4308287,2576119,2576120,4308288,6864790,10414264,15100150,21024228,28219358,36712031,46600246,57977404,70695341,84247134,98140835,84521354,70957982,58241291,46873730,36994910,28497403,21279877,15317413,15317411,21279873,28497394,36994901,46873718,58241277,70957962,60697150,49295743,39368326,39368324,49295736,60697139,73445065,87062550,101058271,272243653,115132935,115132934,271283282,142434854,129060798,129060797,142434852,155079260,166776338,177331304,262121356,142435976,131426624,131426625,144649509,157047942,157513339,168978230,179265824,188317805,195800142,195800143,196201619,196201618,201837209,201837208,201837213,194905140,186808413,186808414,177515787,166999597,155347068,142755581,142755580,261267464,174233826,261210320,142755582,129436423,129436420,142755560,137571540,123884053,109738505,95528770,95528769,95528773,95528771,109738506,123884054,111670621,258234488,61194518,61194519,68009055,268672166,77549095,70370411,255936140,46331798,256435440,83894940,97751796,109738500,95528765,95528764,81492989,68009062,57678598,46331793,255936138,70370407,68009066,255543248,35302876,254576878,267905130,35302873,44722331,55621190,68009059,81492985,95528777,81541591,81541590,95572004,109772133,101623053,87656114,87656113,101623050,101623048,87656110,74052792,61272913,49793831,49793832,61272915,62652959,51026882,40889492,40889493,51026885,62652966,75595313,259576073,89356431,258290530,62652971,75595308,62652957,51026881,51026880,256737350,87656135,81090922,270658983,103451784,103451785,117582110,129549199,115663508,115663509,109344641,101623057,101623058,99770142,99770143,113783381,125997682,112161540,98198990,258886656,73547655,60800522,49399795,39471320,39471319,49399793,60800519,258844553,85817378,72225098,258750693,99638076,87656137,87656138,99638078,99638079,101164279,87166135,87166136,99638060,85689131,72103267,257486132,38068166,38068164,38068165,38068176,38068177,269330568,47695102,59093523,71833398,259345659,113365039,261141799,127650944,271766960,85817383,259993605,127650941,261718239,165445129,176126738,185590947,263899047,193772163,193772162,185507075,176035867,261828228,127522677,127522678,261710255,273119631,175096826,182961086,182961087,191594307,199014500,205289216,263769964,161925450,149628125,136362431,122378352,122378351,136362429,140840798,271814190,118599236,104415105,90263099,76432488,63388815,51646071,51646072,63388816,76432490,259405004,98549299,112543204,260057108,260363927,93515170,258483839,258483841,93515129,79378632,66010372,269147011,43413064,43413060,34311720,26433763,19695578,14121905,14121904,19695576,26433758,34311713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14506626, s2 = 14890658, dlinesl.size( ) = 2 s1 = 14506626, s2 = 14890658, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14506626, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 62221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 62221, s2 = 2172218, int(edited[s2]) = 0 s1 = 62221, s2 = 2172218, d1 = 140, d2 = 147 Dl.O(d1) = 1291153,736996,418926,418925,736994,1291150,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375903,3496802,3496800,4269677,2552742,2552741,4269671,6807676,10339049,10353451,9097515,5952181,3722357,3722358,5952183,9097518,12665222,14972109,19507993,13963448,9587491,9587490,13963447,14986760,268083440,9101185,5954916,5954917,5931567,3708854,2221082,2221083,3708856,5931572,5931838,5931839,9071225,13288302,13280095,255246915,20936357,17875779,13298606,9080287,5938632,3713330,3713329,5938630,9080283,10363760,6865228,6865227,10414798,255375501 Dl.O(d2) = 258470132,257506842,47516654,58896295 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079939, s2 = 8198096, int(edited[s2]) = 0 s1 = 14079939, s2 = 8198096, d1 = 0, d2 = 0 Dl.O(d1) = 123248431,259774053,67190031,54870659,54870658,67190015,67190014,54870645,257896295,80664713,258937104,94742783,258516317,54870659,44070308,34753588,34753587,268542825,19898503,14254413,9797612,6440500,4039785,2420603,1401146,1401145,2420602,4039783,4039786,2420606,1401148,1401147,1401144,797467,254152381,2420599,4039780,6440497,9797609,14254408,19898500,26733509,34753583,44070299,54870638,67190002,80664699,77864430,65759245,65759244,79115498,93232430,79115496,65759242,53702150,53702149,43190460,34104722,34104719,26241209,26241210,34104720,43190458,53702147,65759241,79115494,259730713,81117785,81117786,95176220,109432390,123625860,137358075,139297207,125947837,125947838,112113895,98154460,84260563,70709293,257032688,36728794,46616579,48123842,256397525,22294878,16149840,11219857,7444540,254353181,1643907,1643910,2833668,4703747,4703806,7443780,4703322,4703320,7443722,7443724,9738750,11218543,11218542,12042198,11220011,7444642,7444641,7444622,4703779,4703777,4704128,2833846,2833843,4704119,7445272,11219816,16149787,16150256,11220179,7444754,7444753,7445507,11220731,9738769,6404029,6404031,9738776,14165733,19777085,20977788,16151901,11221421,7445564,4704276,4704275,7445559,11221410,11220291,7444831,7444832,11220295,7445013,7445014,7443706,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,16148504,11219944,11219942,11221835,255901297,255901095,16150364,16150363,12656863,12656862,12306598,8312372,8312373,11220553,7445000,7445002,11218827,11218828,9738736,6404009,6404006,9738727,7445224,4704097,2833831,2833832,4704104,7445244,7054539,4440908,4440910,7054547,10679588,8312366,8312364,12306580,17456977,19777025,14165668,12306525,8312329,5363561,3297259,3297260,5363563,3297272,3297271,5363584,8312370,12306594,255560095,23787886,31273380,38215169,29648628,22296616,16151415,11221062,11221063,16151420,12306427,12306428,17456800,19365556,22296988,22626565,255474476,11218761,11218763,16148171,22292775,16152680,16152681,22297798,29038131,29038074,29038073,37585669,29644524,29038042,21745855,15694322,10864707,7183392,4525513,4525512,7183388,5363526,3297242,3297243,5363527,8312273,7183420,4525525,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,37585795,29038222,21746010,15694423,15694421,21746005,29038212,37585786,39219431,30622290,23200475,23200474,29038457,35307899,27188246,20264415,14539326,14539327,17455737,17112005,17112004,23382458,30811009,29836805,22469568,16300871,16300870,22469565,29836803,37530590,33749815,25942293,19278956,13781359,9448802,6194614,6194612,9448800,13781356,13780826,9448494,9448493,13780823,19278217,25941479,33749157,29817128,29325340,21995712,16150574,16150576,22295694,25941186,19278154,13780806,13780807,19278199,25941466,24341167,24341166,22295707,255095074,14539710,10003705,6574059,4118058,4118057,6574057,10003704,14539709,20264956,27188842,33748840,25941128,19279114,19279115,17950706,17950705,24341197,22534188,16360698,16360697,268340001,14490495,14490496,20195510,256752967,55409377,67749870,254916062,77338030,91257557,105479694,91664444,77736598,64554238,64554239,77736600,91664447,77736611,64554248,52654568,52654567,64554247,259039605,257796881,52654924,64554542,77736897,91664740,105873021,105053120,90873935,90873934,105053118,105872697,91664449,91664450,105053117,257171732,76995684,257760740,64260847,257433684,42061698 Dl.O(d2) = 123248431,259774053,67190031,54870659,54870658,67190015,67190014,54870645,257896295,80664713,258937104,94742783,258516317,54870659,44070308,34753588,34753587,268542825,19898503,14254413,9797612,6440500,4039785,2420603,1401146,1401145,2420602,4039783,4039786,2420606,1401148,1401147,1401144,797467,254152381,2420599,4039780,6440497,9797609,14254408,19898500,26733509,34753583,44070299,54870638,67190002,80664699,77864430,65759245,65759244,79115498,93232430,79115496,65759242,53702150,53702149,43190460,34104722,34104719,26241209,26241210,34104720,43190458,53702147,65759241,79115494,259730713,81117785,81117786,95176220,109432390,123625860,137358075,139297207,125947837,125947838,112113895,98154460,84260563,70709293,257032688,36728794,46616579,48123842,256397525,22294878,16149840,11219857,7444540,254353181,1643907,1643910,2833668,4703747,4703806,7443780,4703322,4703320,7443722,7443724,9738750,11218543,11218542,12042198,11220011,7444642,7444641,7444622,4703779,4703777,4704128,2833846,2833843,4704119,7445272,11219816,16149787,16150256,11220179,7444754,7444753,7445507,11220731,9738769,6404029,6404031,9738776,14165733,19777085,20977788,16151901,11221421,7445564,4704276,4704275,7445559,11221410,11220291,7444831,7444832,11220295,7445013,7445014,7443706,4703284,2833412,1643780,1643781,934682,934681,1643790,2833425,4703307,7443753,11218520,16147859,16149917,11219918,7445582,7445583,11221451,16148504,11219944,11219942,11221835,255901297,255901095,16150364,16150363,12656863,12656862,12306598,8312372,8312373,11220553,7445000,7445002,11218827,11218828,9738736,6404009,6404006,9738727,7445224,4704097,2833831,2833832,4704104,7445244,7054539,4440908,4440910,7054547,10679588,8312366,8312364,12306580,17456977,19777025,14165668,12306525,8312329,5363561,3297259,3297260,5363563,3297272,3297271,5363584,8312370,12306594,255560095,23787886,31273380,38215169,29648628,22296616,16151415,11221062,11221063,16151420,12306427,12306428,17456800,19365556,22296988,22626565,255474476,11218761,11218763,16148171,22292775,16152680,16152681,22297798,29038131,29038074,29038073,37585669,29644524,29038042,21745855,15694322,10864707,7183392,4525513,4525512,7183388,5363526,3297242,3297243,5363527,8312273,7183420,4525525,2720376,2720373,4525519,7183407,10864734,15694360,21745882,21745883,17128116,12037277,12037276,16152416,21746014,20195429,20195430,21949274,21949273,29038040,30827950,37585795,29038222,21746010,15694423,15694421,21746005,29038212,37585786,39219431,30622290,23200475,23200474,29038457,35307899,27188246,20264415,14539326,14539327,17455737,17112005,17112004,23382458,30811009,29836805,22469568,16300871,16300870,22469565,29836803,37530590,33749815,25942293,19278956,13781359,9448802,6194614,6194612,9448800,13781356,13780826,9448494,9448493,13780823,19278217,25941479,33749157,29817128,29325340,21995712,16150574,16150576,22295694,25941186,19278154,13780806,13780807,19278199,25941466,24341167,24341166,22295707,255095074,14539710,10003705,6574059,4118058,4118057,6574057,10003704,14539709,20264956,27188842,33748840,25941128,19279114,19279115,17950706,17950705,24341197,22534188,16360698,16360697,268340001,14490495,14490496,20195510,256752967,55409377,67749870,254916062,77338030,91257557,105479694,91664444,77736598,64554238,64554239,77736600,91664447,77736611,64554248,52654568,52654567,64554247,259039605,257796881,52654924,64554542,77736897,91664740,105873021,105053120,90873935,90873934,105053118,105872697,91664449,91664450,105053117,257171732,76995684,257760740,64260847,257433684,42061698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079939, s2 = 8198096, dlinesl.size( ) = 2 s1 = 14079939, s2 = 8198096, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14079939, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 9085332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15360433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15360433, s2 = 8042459, int(edited[s2]) = 0 s1 = 15360433, s2 = 8042459, d1 = 103, d2 = 161 Dl.O(d1) = 25526931,25526932 Dl.O(d2) = 256305616,19296871,19296869,25962585,24542483,24542482,18108334,12840441,12840440,18108333,24542491,32120334,32120333,40894395,51032212,269922089,89363284,103458905,117589359,272095528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15360433, s2 = 8042459, dlinesl.size( ) = 2 s1 = 15360433, s2 = 8042459, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15360433, Dl.E( ) = 174, 7.1e-05 seconds used appending s1 = 1312483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13256693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14066815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7597505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7597505, s2 = 13470485, int(edited[s2]) = 0 s1 = 7597505, s2 = 13470485, d1 = 24, d2 = 18 Dl.O(d1) = 268912285 Dl.O(d2) = 74788021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7597505, s2 = 13470485, dlinesl.size( ) = 2 s1 = 7597505, s2 = 13470485, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7597505, Dl.E( ) = 34, 3.5e-05 seconds used appending s1 = 10197973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14190769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14190769, s2 = 14130403, int(edited[s2]) = 0 s1 = 14190769, s2 = 14130403, d1 = 68, d2 = 55 Dl.O(d1) = 258029455 Dl.O(d2) = 215384348,218774229,218774228,215384342,211282205,206262003,200190074,192999155,184616673,184616672,264170477,211282217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14190769, s2 = 14130403, dlinesl.size( ) = 94 s1 = 1427623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1427623, s2 = 7288900, int(edited[s2]) = 0 s1 = 1427623, s2 = 7288900, d1 = 28, d2 = 116 Dl.O(d1) = 36974077 Dl.O(d2) = 266492453,274767419,238709421,239327878,274859910,274864946,266861644,239327879,238709422,238709420,266840797,274874346,266992594,240423893,239897418,267036589,266914448,240557933,274797466,274727524,236723797,266242440,274519324,265881204,226733657,224662795,274415927,265411180,265015806,264252378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1427623, s2 = 7288900, dlinesl.size( ) = 2 s1 = 1427623, s2 = 7288900, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1427623, Dl.E( ) = 136, 4.41e-05 seconds used appending s1 = 6573639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10139113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10139113, s2 = 9791576, int(edited[s2]) = 0 s1 = 10139113, s2 = 9791576, d1 = 145, d2 = 167 Dl.O(d1) = 12064054,10541044,6951762,6951763,10541047,15274505,21241861,28464688,21257725,21257726,28461796,25550435,18937954,13502167,13502168,15280589,15245736,10517600,6961040,4373521,2619928,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031 Dl.O(d2) = 309666,171294,254074847,52015,94268,171309,309686,553403,571405,571407,553252,553251,982691,925654,521773,521772,925650,1627809,2806010,2983258,1731858,984570,984571,1731865,2983265,2977365,2977364,4931630,2976773,1727680,982142,982143,553261,553260,982713,1728706,254314482,1726656,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,982618,553213,309592,171254,171253,309586,310181,171544,171543,310179,554372,984832,1732336,2983973,4944283,7783810,7796961,4944286,2983976,1732339,1730036,983506,553688,309856,309857,553691,983513,1726925,1726922,2975542,2982864,4942786,4935996,2980025,1729891,1729893,2980030,4936566,2978636,2978634,4936559,254805598,1731906,1731907,2983304,4943344,3082078,1798631,1798632,3082084,5081689,7984542,11931512,17015821,11931335,7984392,5081605,5081606,6001076,9168847,11679539,7974334,7974332,11919826,11689001,11685345,7792342,4940685,4940682,3064396,3064394,3064373,3064372,5057929,7796936,4944264,4944265,2983969,2983967,4938272,7788810,11680565,11927888,7981408,5079696,3081005,1798101,1026050,578130,323419,323417,578126,1026045,1026314,578251,323469,178719,98339,54386,54387,98342,178723,267745361,1026351,1798775,3082386,3082261,3082260,3082303,5082064,7937890,5048072,3058225,3058228,5048136,7937994,11874753,16962861,16955771,11895484,11895483,7997825,7986268,7984573,5081710,3082092,1798635,1026291,578240,254088107,178718,323464,578231,1026273,1798596,3082012,5081549,254819003,11931859,12361346,8352274,5390972,3315014,1950123,254270805,5390971,8352272,12361345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10139113, s2 = 9791576, dlinesl.size( ) = 74 s1 = 1428699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7586913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7586913, s2 = 3872364, int(edited[s2]) = 0 s1 = 7586913, s2 = 3872364, d1 = 10, d2 = 9 Dl.O(d1) = 268606058,21278496,28495761 Dl.O(d2) = 260496982,126293676,139664478,152385274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7586913, s2 = 3872364, dlinesl.size( ) = 2 s1 = 7586913, s2 = 3872364, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7586913, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 11105410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105410, s2 = 15942548, int(edited[s2]) = 0 s1 = 11105410, s2 = 15942548, d1 = 51, d2 = 57 Dl.O(d1) = 255393629 Dl.O(d2) = 47036304,37147372,28633284,21394184,15408993,10650907,7032752,4424365,4424366,7032754,267882891,4424367,7032756,10650913,8808166,8808165,8469145,8469146,5474977,3369070,1982495,1982497,254409085,1982371,1982372,3368860,3368858,3368804,1982312,1132269,1132270,1982314,3368807,3369065,3369163,1982560,1982561,3369164,5475079,5474724,3368923,3368922,5474723,8469644,5475017,5475018,8470052,12503534,12503067,12503068,17679798,24030363,268444665,12503019,12503016,12503017,12503538,12503539,17679785,24029016,17678527,254603576,12503536,268259661,24030897,31532335,31533032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105410, s2 = 15942548, dlinesl.size( ) = 14 s1 = 1429582, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8120621, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8176926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1431954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1432172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8177331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8177331, s2 = 7618790, int(edited[s2]) = 0 s1 = 8177331, s2 = 7618790, d1 = 6, d2 = 175 Dl.O(d1) = 21393045,256321971,268715758 Dl.O(d2) = 269579210,259113320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8177331, s2 = 7618790, dlinesl.size( ) = 20 s1 = 11088810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9160387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1109466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 407450, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1112251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15459069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15459069, s2 = 1112767, int(edited[s2]) = 0 s1 = 15459069, s2 = 1112767, d1 = 1, d2 = 1 Dl.O(d1) = 23758101,31242113,39917539,31242110,23758100,23758099,31242108,39917537,49935458,61413734,74192617,87796156,101768498,115814180,126529790,112666472,98671112,84742485,71173225,258007768,37180267,28660705,21415912,15426157,10664295,10664293,15426154,21415908,28660695,22835667,16614491,16614494,22835679,30227285,38809947,30852970,30852971,39457192,49385226,40230420,34999166,34999169,44377531,51318906,50250487,46468012,40230596,31544222,24040829,17688888,17688886,24040818,31544203,40230569,50250461,50250419,40230519,31544159,24040790,24040789,256537677,50250241,40230350,31544023,24040693,24040688,17688800,17688799,24040686,17688838,12510506,12510507,17688844,24040749,31544098,26917823,26917824,34999265,40232382,31545946,24042392,24042391,31545944,40232376,50252327,61731168,74513016,88125335,102113174,116170774,130078494,143406811 Dl.O(d2) = 23758101,31242113,39917539,31242110,23758100,23758099,31242108,39917537,49935458,61413734,74192617,87796156,101768498,115814180,126529790,112666472,98671112,84742485,71173225,258007768,37180267,28660705,21415912,15426157,10664295,10664293,15426154,21415908,28660695,22835667,16614491,16614494,22835679,30227285,38809947,30852970,30852971,39457192,49385226,40230420,34999166,34999169,44377531,51318906,50250487,46468012,40230596,31544222,24040829,17688888,17688886,24040818,31544203,40230569,50250461,50250419,40230519,31544159,24040790,24040789,256537677,50250241,40230350,31544023,24040693,24040688,17688800,17688799,24040686,17688838,12510506,12510507,17688844,24040749,31544098,26917823,26917824,34999265,40232382,31545946,24042392,24042391,31545944,40232376,50252327,61731168,74513016,88125335,102113174,116170774,130078494,143406811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15459069, s2 = 1112767, dlinesl.size( ) = 2 s1 = 15459069, s2 = 1112767, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15459069, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 6694298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6694298, s2 = 5555711, int(edited[s2]) = 0 s1 = 6694298, s2 = 5555711, d1 = 32, d2 = 27 Dl.O(d1) = 257444445 Dl.O(d2) = 228126865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6694298, s2 = 5555711, dlinesl.size( ) = 12 s1 = 1113288, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10166363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10166363, s2 = 11402932, int(edited[s2]) = 0 s1 = 10166363, s2 = 11402932, d1 = 29, d2 = 5 Dl.O(d1) = 45661,83559,152354,152357,152354,152357,152354,152357,152354,152357,152354,152357,152351,152261,152257,152818,152821,277131,494356,876424,1542710,255403883,28683026,37206741 Dl.O(d2) = 261849357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10166363, s2 = 11402932, dlinesl.size( ) = 20 s1 = 16269493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15109254, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14046699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14046699, s2 = 9590304, int(edited[s2]) = 0 s1 = 14046699, s2 = 9590304, d1 = 14, d2 = 17 Dl.O(d1) = 25322688,18743816,18743815,22578651,16395882,11412303,7583913,4796904,2891467,2891470,4796915,7583932,7690420,7739636,7739635,7748442,7748443,11631058,11412454,11412452,7735601,4897626,4897627,7595582,7587532,4808471,2897976,2897977,1681567,956376,539054,539052,956363,1681524,2897993,4808507,7601072,7744526,11432860,11433154,7601328,7601329,11433156,16417320,11433427,7601608,4864040,2930963,1699979,1699978,2930961,4864036,4904332,2956008,2956007,4865227,3730461,3730460,3730321,2949584,2949585,4894366,7731332,7606063,7606062,11438574,16422432,16435373,11607198,11607201,15102117,15102090,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192041,5230514,5683916,5683915,7598292,7598293,11429591,11623626,11414946,7586058,4798240,2892193,2892192,4798238,7586053,11414943,254870786,11622392,7740754,4901366,4901365,254800663,7598066,4806369,4806368,7598062,11429323,16413537,16420961,11437074,11437073,11630670,7748021,7748020,7585359,7585360,7608927,7608928,7596112,4891817,2947925,1709648,971767,547312,547311,971793,1709712,2452254,2899653,4099344,2899704,1682357,1682356,2899701,4811395,268090185,29969413,257543981,59830230,71282677,58551185,47162605,37257263,28725750,28725751,254826254,47162606,58551187,71282678 Dl.O(d2) = 269374384,126627057,139980688,152678722,164522650,175292945,184850948,193196672,200359726,206410748,211415554,215506550,218886961,221740775,224189699,226313097,228162147,227955659,226089551,223946562,221471233,218582295,215150175,210982790,205883283,199717588,264151660,183961910,174299726,163452077,151569410,138867189,125535069,111728996,97806938,83947562,70420597,57725462,46375155,36515994,28051668,20883013,255001387,6807971,4269894,2552881,2552879,1947311,1947312,2569371,254326183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14046699, s2 = 9590304, dlinesl.size( ) = 2 s1 = 14046699, s2 = 9590304, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14046699, Dl.E( ) = 18, 1.22e-05 seconds used appending s1 = 15777358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6504346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1118718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6613878, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 188449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 188449, s2 = 11504770, int(edited[s2]) = 0 s1 = 188449, s2 = 11504770, d1 = 0, d2 = 3 Dl.O(d1) = 4460881,255409459 Dl.O(d2) = 175335019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 188449, s2 = 11504770, dlinesl.size( ) = 14 s1 = 6543356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6543356, s2 = 6546454, int(edited[s2]) = 0 s1 = 6543356, s2 = 6546454, d1 = 42, d2 = 44 Dl.O(d1) = 255790020 Dl.O(d2) = 255822050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6543356, s2 = 6546454, dlinesl.size( ) = 8 s1 = 8025187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8025187, s2 = 7522863, int(edited[s2]) = 0 s1 = 8025187, s2 = 7522863, d1 = 8, d2 = 57 Dl.O(d1) = 22466230,255370166 Dl.O(d2) = 267466479 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6511812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 218142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8019528, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14570495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14570495, s2 = 7934664, int(edited[s2]) = 0 s1 = 14570495, s2 = 7934664, d1 = 16, d2 = 6 Dl.O(d1) = 99323538,99323560,85378885,71789579,71789580,85378887,99323564,113326596,127185690,113326602,113326594,113326593,127185712,140532065,153214030,165032578,261681862,152704564,140007841,140007840,140007820,140007821,152704561,152704574,152704573,152704572,152704570,152704569,140007829,126652618,112793871,98801135,98801136,112793873,126652614,112793869,112793868,126652612,259335706,98801132,84872419,258709760,71297947,58565931,47177118,257451441,71297951,271775001,112793874,126652623,127164575,127164576,259326920,258076726,256885786,71765349,85355776,98801152,84872432,257476298,58565935,71297956,71765343,71765342,71765351,59021390,47617452,37693127,37693126,47617450,59021386,71765344,71765337,71765338,85355760,99300941,98801158,98801157,258709766,58565937,47177121,47177122,58565938,71297961,84872443,97805235,269760734,83945949,83945945,70419111,70419112,83945947,70419128,57724142,57724143,70419131,83945969,97805227,83945943,83945942,87569899,73971733,258856897,61193293,258234343,87569908,87569906,83945964,73971738,61193286,49714652,49714651,39695977,39695976,39695975,257042881,49714655,61193291,73971744,73098407,73098408,73971735,73971736,87569902,83945973,83945972,97805244,100675038,260053789,115557022,101527633,87569904,87569905,101527634,101527644,271849487,115557030,129434646,129434644,129434648,129434649,142753734,141977477,128617933,128617934,261046642,114721241,114721240,114721239,100675029,260053787,128617935,125533697,111727419,100674998,86701844,73098372,73098373,86701846,86701857,86701864,260053785,100675010,86701860,86701861,73098387,60360020,48964783,258189629,48964777,39043322,39043323,48964779,60360010,73098379,86701852,73098394,73098393,60360023,60360022,73098390,86701866,100675017,100675001,260053783,128617923,127191602,114721257,104848818,104848817,119032674,127191604,113333000,99330534,85386686,71798388,256737480,49802890,49802889,61281057,61281061,61281060,74060463,87664285,101631613,100674962,86701797,73098315,73098314,71798387,269189998,87664282,87664283,101631610,115672525,128617881,114721201,259152752,73098312,73098313,259436945,114721203,127191599,113332996,271359384,140537588,259436940,270657508,114721202,128617882,115672518,258812794,258523484,129558659,258189626,101631606,258523490,129558655,259436942,115672521,101631608,87664281,74060461,61281056,61281055,74060458,87664275,101631604,115672517,129558652,126698155,126698154,112846050,98857373,84930052,84930051,91451461,77521920,77521922,91451463,87664277,270895415,259436938,126698148,126698147,126698149,126698150,115672513,101631601,101631602,115672515,257581926,71353038,58615677,47222423,47222422,58615674,71353031,84930047,98857366,112846040,258812756,258812754,259436936,147026052,258906444,116335588,116335589,126698134,126698135,140045510,259436934,140045514,152735769,260053772,140045520,140045521,259436946,130175512,130175511,143119379,152735766,140045512,126698132,112846032,112846033,120280460,120280461,258906454,106079212,106079213,120280464,258283780,88241442,74610816,74610815,88241440,102240170,116335594,130175510,134112000,258906450,102240162,91883527,91883526,106079206,257674744,64763132,255585020,40309519,40309520,50335523,61818808,268687796,88241425,257091668,88241423,88241424,88241427,74610798,61818788,50335512,40309513,40309514,50335514,61818792,74610801,74610820,61818810,50335525,50335524,61818784,61818785,61818795,61818796,256543736,74610825,74610824,74610814,61818806,50335521,40309518,31621070,31621069,40309516,50335519,61818802,74610810,77958397,88241434,74610808,74610807,74610806,74610805,77958396,257674740,258906448,269004286,61818812,61818811,74610822,88241446,257674748,91883537,102240177,102240178,116335601,113793429,106079214,106079215,102240163,102240164,109354633,95100057,81042079,67573647,67573648,81042081,85827619,72235281,59499843,48111721,38200456,29633603,29633602,38200454,48111717,59499838,59499849,48111731,48111730,59200862,59397299,52806749,42406510,33416349,33416350,42406513,48433743,38525814,38525815,48433744,48111762,38200492,29633632,29633631,30835717,23406803,23406804,30835718,39439758,38200426,29633591,22783714,16568033,16568034,22783717,30172393,38755166,48676669,48111642,48111643,48676695,38755197,30172425,30172426,23406765,17132700,17132699,23406763,30835673,39439731,30835701,23406791,23406790,30835699,39439747,30835708,30835709,38755190,30172418,22783737,16568046,11549268,11549269,255148942,8094387,8094388,12040251,17132781,23406871,30835783,33722233,33722232,30452321,23044071,23044070,16798603,11745557,7841868,4977850,3007046,3007045,4977847,7841863,11745547,16798588,23044256,30452498,39041843,39041868,39041869,48963152,39041975,33859962,33859961,39127117,30528758,30528759,33476169,25702844,25702843,33476166,42469746,52873531,64792350,77986061,91909928,106104640,106104638,91909927,91909926,102081437,88094557,74482274,61699221,50217199,50217200,58676062,47284700,37375099 Dl.O(d2) = 5054810,5052113,5052110,3065238,1786802,1786807,3065259,1795339,1024318,577215,577216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13161975, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6696033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6696033, s2 = 4600368, int(edited[s2]) = 0 s1 = 6696033, s2 = 4600368, d1 = 48, d2 = 10 Dl.O(d1) = 257460906,37410762,28869495,21594643,16073317,16073318,21591138,15564797,10765664,7113071,7113070,7654483,7654490,11506608,16511531,22715968,30097826,38675302,35173526,27084937,27084938,31275762,28226983,28226982,36720544,30020301,22647615,22647614,30020299,38108664,38108663,256019752,47320689,37412288,28870932,256880763 Dl.O(d2) = 184967672,264735457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6696033, s2 = 4600368, dlinesl.size( ) = 34 s1 = 15929923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1125265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 424272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6644272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6644272, s2 = 14897178, int(edited[s2]) = 0 s1 = 6644272, s2 = 14897178, d1 = 11, d2 = 0 Dl.O(d1) = 256889449 Dl.O(d2) = 9956123,255333419,27062862,35148718,44525263,55371449,258535903,64436559,52561455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6644272, s2 = 14897178, dlinesl.size( ) = 2 s1 = 6644272, s2 = 14897178, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6644272, Dl.E( ) = 24, 1.81e-05 seconds used appending s1 = 6482769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6482769, s2 = 4967719, int(edited[s2]) = 0 s1 = 6482769, s2 = 4967719, d1 = 24, d2 = 23 Dl.O(d1) = 255048164 Dl.O(d2) = 221495356,221495338,218612978,218612977,221495337,223965560,264701998,218612997,218612996,274176112,221495364,221495371,218613027,218613026,215188114,211029914,211029913,215188054,218612984,221495342,264440650,205941580,199787964,192509646,184052895,174397469,163554387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6482769, s2 = 4967719, dlinesl.size( ) = 2 s1 = 6482769, s2 = 4967719, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6482769, Dl.E( ) = 48, 2.19e-05 seconds used appending s1 = 11158720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15474419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13255321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1463256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1134063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15344083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15094825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9716278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9716278, s2 = 15094826, int(edited[s2]) = 0 s1 = 9716278, s2 = 15094826, d1 = 5, d2 = 6 Dl.O(d1) = 264744998,219064544,264200444,263522494 Dl.O(d2) = 193594565,272849104,261140296,153237471,270829982,113352271,99350429,85407124,71818494,59077205,47676986,37754740,29193365,21881466,15805679,10952375,7248634,4570648,4570649,7248640,10952385,15805697,21881497,21882611,20091738,14405004,9907856,6511940,4570630,4570629,7248604,10952323,7248788,7248789,10952635,15806076,15792759,15792757,20907096,15002082,15002083,15809981,10955857,10955856,15809978,255059406,15805582,21881359,29193268,37754657,255598262,46408362,42650640,33622416,33622415,28266421,21063644,15142043,10443402,10443404,15142050,21067491,15132880,15132882,21067495,28269765,21168402,21168401,28269777,36764866,28309511,21099538,21099537,28270264,28270263,36765349,36765104,28270007,28270006,21080035,21067441,15132845,10437168,6880512,4318875,4318876,6880518,10437188,15132875,17909370,14329599,14329598,20008639,26889463,34968453,29465934,22131021,21099532,15155925,15155926,15142164,10443472,6884708,4321843,2585290,1490130,1490129,2585282,4321826,6884671,10443393,15142028,21067165,15132676,10943880,10943876,254343598,29180338,268078816,18568079,18568078,25119276,32823445,36764482,31223262,23740024,20990719,15077271,10452908,10452910,15156875,21100778,20990673,15132567,10437016,6880436,6880435,10437011,15132553,21066952,28269456,36764550,46649656,58022377,70736897,71879446,59141137,47742464,37820178,37820177,47742462,39016015,39016014,47742485,37820189,29254950,21933902,21933901,29254948,37820185,256709942,71879453,85464242,73077060,60336828,60336827,49804677,39785389,31106181,23620948,23620949,23734264,31204240,23910918,255266218,8377370,5406445,3323725,1954874,1954873,3323724,5406443,8377367,8365355,8365354,12379723,15050095,17537922,17537921,23884453,23439603,17165738,17165737,23439601,25560198,18947363,18947362,21804426,23855706,31349867,23914511,21139645,17383402,17383403,17383394,12249656,12249657,17383396,23706342,267964602,12408385,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825457,254720630,30111511,22731252,16526012,255490911,30111509,38687550,37820187,37820186,47742480,59141155,60336807,48939196,39016006,39016007,48939197,48939204,48939203,60336817,73077055,86681538,258811737,60336812,48939200,257580639,72732890,269816070,38687547,38687548,48603518,59995417,72495267,72495266,259396841,86681529,84281309,84281308,86330739,86330738,86330733,86330734,100293193,114323876,102689356,95352944,95352942,100654199,114699361,127757466,113881739,113881740,102701996,102701997,259281876,130619418,130619419,130619429,130619420,116794601,102701989,88692830,88692831,102701991,99466209,85519950,71932269,62218874,50698795,40639659,40639660,50698797,62218878,75042018,88692843,102702006,106883224,121151286,106883216,106883217,116794586,130619412,143926945,145114191,143926937,130619405,130619404,143926934,141958856,141958857,137514731,130607632,116782611,102689371,102689370,98931345,85005276,71431523,71431522,259321409,260102927,129546265,142864904,137514733,123792733,116103676,116103677,123792735,109605045,109605046,123792737,109605049,109605050,123792740,115659997,101619275,101619276,271174313,271174311,85005257,71431509,58698909,58698908,71431508,85005255,98931324,98931326,98931327,87652243,81296889,67831153,55489979,55489978,67831151,67831159,74049077,74049076,67831207,67831206,67831203,55490018,44640115,44640114,55490016,55489985,44640093,44640092,55489984,67831160,74049212,61269418,61269417,61269298,49790579,44640118,35255640,35255641,39770685,41737798,32816852,25113324,25113325,32816854,31092517,23608921,21807992,21807993,29106650,23608922,17296476,12175038,254600462,3231475,254393837,8206805,12175032,17296463,255399424,12175053,14527055,20244922,15746586,15746587,21807997,23608989,23608988,18705698,17296564,17296523,12175071,12175070,17296522,21371688,27156588,255829498,12175060,8206819,5277682,3231479,1895177,1081650,1081651,1895180,3231486,5277695,8206843,12175100,255548159,23608938,17296489,12175047,8206811,8206810,12175045,17296487,23608934,31092527,39770723,40260615,40260614,31695093,24187060,17818502,12615684,8563487,8563486,12615681,17801790,17801788,24169232,31677669,40371353,50406463,61897007,74690718,88318310,99668289,85720683,72136237,59406114,48019252,38109137,29545845,22202385,19818311,19818310,26629620,254868148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9716278, s2 = 15094826, dlinesl.size( ) = 2 s1 = 9716278, s2 = 15094826, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9716278, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14034989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034989, s2 = 1474806, int(edited[s2]) = 0 s1 = 14034989, s2 = 1474806, d1 = 92, d2 = 25 Dl.O(d1) = 14521950,9992316,9992314 Dl.O(d2) = 37851461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14516051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14516051, s2 = 7074826, int(edited[s2]) = 0 s1 = 14516051, s2 = 7074826, d1 = 6, d2 = 6 Dl.O(d1) = 228331512,228331508,226498961,224395292,224395293,226498962,228331509,229939688,231366631,231366632,265882308,233800312,266132950,266243444,266438812,238852349,266676424,240014481,240532113,266862170,241869887,242250431,242602704,242930614,243236196,243521875,243787254,267225104,244475476,267303934,274983804,267368718,267406100,245758063,245758062,245876418,245987793,246092225,246191180,246191177,246191178,246285573,246374086,246457612,246536601,246611867,246681929,246651210,246578777,246501776,246420899,246335126,246243956,246146871,246045392,245937443,245822930,245701733,245572111,245433504,245286290,245128758,267402178,244383882,244162785,243925591,243671647,243398539,243104920,274920451,242090715,241696643,241270180,240809806,266884587,239197181,238565482,237876786,266558127,235386712,266286523,232090025,274538915,227542295,225596390,223359163,265106655,214091403,209656532,204251070,197771122,190165717,263512382,147847843,134722268,261470131,106671464,92367563,259328946,53073295,53073297,42625779,256153705,255281577,11314232,11314236,13679983,13679981,19157775,255732684,17405999,255318532,38796699,48717825,60112494,72848950,86443646,86443642,72848945,72848946,86443645,100399693,114423419,128299348,141648654,261541438,262565948,175888261,165178632,153374361,140692570,261081324,259900218,85510476,71923020,258029566,47784225,37860088,29291060,21964148,15870229,10999498,7281252,4591912,4591911,7281251,10999496,15870223,21964132,29291023,256914215,257293670,37860030,47784111,59183636,71921944,85507350,99449017,113451242,127310148,262214377,263133313,193658514,200762269,264205169,207647316,201805564,194865817,186758270 Dl.O(d2) = 228331512,228331508,226498961,224395292,224395293,226498962,228331509,229939688,231366631,231366632,265882308,233800312,266132950,266243444,266438812,238852349,266676424,240014481,240532113,266862170,241869887,242250431,242602704,242930614,243236196,243521875,243787254,267225104,244475476,267303934,274983804,267368718,267406100,245758063,245758062,245876418,245987793,246092225,246191180,246191177,246191178,246285573,246374086,246457612,246536601,246611867,246681929,246651210,246578777,246501776,246420899,246335126,246243956,246146871,246045392,245937443,245822930,245701733,245572111,245433504,245286290,245128758,267402178,244383882,244162785,243925591,243671647,243398539,243104920,274920451,242090715,241696643,241270180,240809806,266884587,239197181,238565482,237876786,266558127,235386712,266286523,232090025,274538915,227542295,225596390,223359163,265106655,214091403,209656532,204251070,197771122,190165717,263512382,147847843,134722268,261470131,106671464,92367563,259328946,53073295,53073297,42625779,256153705,255281577,11314232,11314236,13679983,13679981,19157775,255732684,17405999,255318532,38796699,48717825,60112494,72848950,86443646,86443642,72848945,72848946,86443645,100399693,114423419,128299348,141648654,261541438,262565948,175888261,165178632,153374361,140692570,261081324,259900218,85510476,71923020,258029566,47784225,37860088,29291060,21964148,15870229,10999498,7281252,4591912,4591911,7281251,10999496,15870223,21964132,29291023,256914215,257293670,37860030,47784111,59183636,71921944,85507350,99449017,113451242,127310148,262214377,263133313,193658514,200762269,264205169,207647316,201805564,194865817,186758270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14516051, s2 = 7074826, dlinesl.size( ) = 2 s1 = 14516051, s2 = 7074826, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14516051, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 7599200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7599200, s2 = 7433703, int(edited[s2]) = 0 s1 = 7599200, s2 = 7433703, d1 = 107, d2 = 113 Dl.O(d1) = 268936435 Dl.O(d2) = 266609820,266142330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7599200, s2 = 7433703, dlinesl.size( ) = 2 s1 = 7599200, s2 = 7433703, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7599200, Dl.E( ) = 136, 6.1e-05 seconds used appending s1 = 14920705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14920705, s2 = 6473216, int(edited[s2]) = 0 s1 = 14920705, s2 = 6473216, d1 = 0, d2 = 16 Dl.O(d1) = 3377809,2004374,1145747,642715,356734,195459,254090119,642712,642749,356753,356752,642747,268116934 Dl.O(d2) = 256883059,21696813,17301550,12179639,8211590,8211589,12179643,8484307,8484304,12522586,17282088,255996989,18780723,255658693,20225226,254923494,6563768,9986628,13532462,13382715,9986656,9986657,14513319,12015616,8074330,6966140,6966139,10561787,13528903,15275344,16902350,11828514,7904886,5024799,5024797,5024827,5024828,6905843,4337462,2596736,1497987,1497988,2596740,4337476,6064962,6064963,9260062,10538534,6949980,4367186,4367187,6949985,10538545,15271797,21239745,21255031,255640981,13162894,13162895,18526464,25068212,32764586,25568743,255268299,11826262,11826260,16898927,23160153,17148703,12052264,12052263,15184257,10473645,6905874,6905873,8268411,8268414,9253243,6060244,3791846,2271421,2271420,3791840,3793924,6061754,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14920705, s2 = 6473216, dlinesl.size( ) = 14 s1 = 14047847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 619369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7841916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16024995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1479776, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9391804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16029539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11076666, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1197159, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14043752, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16388781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8079976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1489843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14898738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8125855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080469, s2 = 8010540, int(edited[s2]) = 0 s1 = 14080469, s2 = 8010540, d1 = 21, d2 = 3 Dl.O(d1) = 255365414,35403999,35403997,44829555,48195674,38286582,38286581,255481744,24216763,24216761 Dl.O(d2) = 39524276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080469, s2 = 8010540, dlinesl.size( ) = 16 s1 = 7002709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1501413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123033, s2 = 6503825, int(edited[s2]) = 0 s1 = 14123033, s2 = 6503825, d1 = 48, d2 = 63 Dl.O(d1) = 262038498 Dl.O(d2) = 255309181,14115944,12420891,8395003,8395005,12420897,17597110,16912479,11836114,11834176,7909127,7909128,11834534,16908159,20047826,26934135,23177132,16912721,15192792,10479238,10479239,15192800,17593953,17593952,16912808,11836326,11836324,16909871,23173344,23173342,23172353,23172344,23172343,23177225,30596201,39193339,47514605,37609793,268908888,23325620,23325619,30746972,39346529,41506486,38203717,38203718,40623817,31909531,24377982,17979445,12742028,12742029,17979447,24377984,23942581,17597935,12421404,12421038,12419397,8394163,8394162,12419393,17594761,23938535,22401323,19581215,14028666,14028665,17596823,17596824,16477265,16477266,17599584,12422530,12422531,17599588,23944514,21660341,15624198,10810410,10810409,15624193,17599619,17599612,17599611,23942430,23941127,23254049,16991147,16991146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123033, s2 = 6503825, dlinesl.size( ) = 22 s1 = 6516894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13374303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6537913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6537913, s2 = 1171395, int(edited[s2]) = 0 s1 = 6537913, s2 = 1171395, d1 = 8, d2 = 5 Dl.O(d1) = 255713622 Dl.O(d2) = 29808229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6537913, s2 = 1171395, dlinesl.size( ) = 14 s1 = 9345174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7571876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7571876, s2 = 2548409, int(edited[s2]) = 0 s1 = 7571876, s2 = 2548409, d1 = 38, d2 = 12 Dl.O(d1) = 268227743 Dl.O(d2) = 59508224,72242822,85834840,99787622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7571876, s2 = 2548409, dlinesl.size( ) = 16 s1 = 15988156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1173452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1173452, s2 = 3177609, int(edited[s2]) = 0 s1 = 1173452, s2 = 3177609, d1 = 0, d2 = 2 Dl.O(d1) = 29840932 Dl.O(d2) = 100009846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1173452, s2 = 3177609, dlinesl.size( ) = 2 s1 = 1173452, s2 = 3177609, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1173452, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 456855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1511689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1513873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7997676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2762986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2762986, s2 = 13478865, int(edited[s2]) = 0 s1 = 2762986, s2 = 13478865, d1 = 13, d2 = 23 Dl.O(d1) = 81077346,255926720,48507328,38592492,30019911,30019912,35049868,44424595,268091006,21245675,16453773,11464171,11464170,16453770,22643901,30015923,38587826 Dl.O(d2) = 44420746,44420747,55268162,67609498,67609502,55268168,55268157,44420745,35046199,26965599,26965600,35046201,44420747,55268162,67609498,67609502,55268168,55268167,67609501,81077349,95135814,81077347,270658645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2762986, s2 = 13478865, dlinesl.size( ) = 2 s1 = 2762986, s2 = 13478865, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2762986, Dl.E( ) = 24, 1.6e-05 seconds used appending s1 = 6709208, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6518310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6518310, s2 = 7317335, int(edited[s2]) = 0 s1 = 6518310, s2 = 7317335, d1 = 78, d2 = 85 Dl.O(d1) = 255488105 Dl.O(d2) = 265349306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6518310, s2 = 7317335, dlinesl.size( ) = 14 s1 = 15929497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14528035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11238034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1187418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6706948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6706948, s2 = 9815288, int(edited[s2]) = 0 s1 = 6706948, s2 = 9815288, d1 = 15, d2 = 56 Dl.O(d1) = 257561787 Dl.O(d2) = 40519910,50556359,49409576,49409575,255143506,68072730,68072731,81562598,87173577,73556028,257071698,40060980,31378285,31378284,30029281,30029280,29014472,29014474,27214391,20286039,14556122,10016005,10016004,14556119,15664582,15664583,21706307,28990415,37535348,31822869,31822868,40519900,50082432,50082431,49254265,39327635,30729573,30729572,39327632,48948673,47282819,47282818,47439402,44764561,44764562,55673839,60568020,60568012,60568011,73311021,256524720,60568007,50082500,256524718,55673841,48948669,39026007,256019282,68072686,55673782,55673781,68072683,72650996,59910723,48517552,48517553,50082448,50082446,40061010,37535362,37535363,40061081,257022662,39243713,30648007,30648006,30648152,39243845,39243764,30726323,30726322,30648038,30648039,39243751,39243755,30648042,30648043,255976314,30857616,39462442,49390816,49390821,49168963,39243774,30648058,23226262,23226263,30648061,23316994,17052968,17052969,23316997,30736526,30436482,23029844,23029843,23280741,17021862,17021863,17021869,17047189,11959158,11959157,17047184,12052051,8102903,5191709,3167991,3167990,5191705,4429213,4429215,7039010,10659108,15419499,14514467,9987469,9987471,14514475,20226797,16953023,11865383,11865382,16953018,21521187,15509512,15509514,15448030,15448031,21444053,17140417,17140415,23416319,29415653,23331457,23331458,23416309,21332279,21332278,28558080,37058811,28558051,21332262,21332261,28558030,23311666,23280750,23280753,23308648,23308647,30726345,25731684,19099264,13636039,9337358,6116073,3826688,2292579,2292580,254451375,9337360,13636042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6706948, s2 = 9815288, dlinesl.size( ) = 28 s1 = 14114325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1525561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8570002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8570002, s2 = 16200112, int(edited[s2]) = 0 s1 = 8570002, s2 = 16200112, d1 = 10, d2 = 4 Dl.O(d1) = 165063771,272173050,271295244,258649824,71827652,59087298,47688454,37767150,29205690,21892472,15814874,10959595,10959594,8543821,7960983,5064084,3068427,3068428,4493884,7133969,4491446,2698491,1563258,1563256,903771,509714,509711,903762,1589760,2698350,1563180,1563179,2698344,4491207,7133534,7132821,7132818,4574692,2752162,1595396,906982,906985,1595406,2752175,4574715,7130863,4489222,2696971,2696970,4489219,7130862,10793173,12189387,12189388,15127830,10434082,6878712,6878711,255014635,15604330,10795369,7132546,7132547,10793002,15601437,21632649,21637931,15606147,11311902,8223175,8223173,5359735,4492137,4492139,7135257,10434484,12596119,12193252,8223549,5293749,5293748,7712092,7712089,10793088,7130797,7130796,10793081,11015040,7291861,7291863,7132120,4490134,4490137,7132136,10794843,10711765,7076620,5355677,3291711,3291713,5355660,7509763,5355559,5355556,5367357,8317841,12314211,10839275,10839274,8317827,8241235,5312986,5293427,3244662,3244664,3262433,3262430,5312994,8241247,11909487,7966139,5068144,3071950,3071952,2861207,2861206,2861614,2861615,4748326,7411690,4683242,2821664,1636965,1636964,2821658,2821394,2821396,4682756,7165577,4513065,2711844,1570961,893173,893171,1570953,2711828,1660474,1660475,2861058,4746643,7509291,10329835,6798143,6798144,7509278,4746637,4746635,4747478,7306978,4611122,2821677,2821678,2711898,2711900,2783173,1614387,918257,517939,290536,160801,160802,290538,517943,918271,1614411,2783208,4621919,7320282,4970915,4967500,3000293,3000294,4967504,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,3186816,1864876,1864874,3186809,5223998,254582237,4613337,4613338,7309414,4682726,2821386,1636829,1636830,2821388,4682733,3268311,3268310,5260577,5260578,8191291,11171839,8152355,8152356,11032731,7825620,5031878,3046080,3046083,3446136,3446135,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,1076756,1887176,267841090,5303731,5303732,5292684,3244001,1903866,1086836,610250,339464,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889271,1090297,612166,612167,1090306,1903426,1903427,1908690,1887374,1887372,1890194,1078571,254181561,1918294,1918295,3258104,3247977,1906692,1088612,1088613,1739795,1066851,599668,599667,1066842,1870200,3194985,267789161,1607654,2771972,4605846,3260719,1915990,1094288,614341,341550,341551,341670,341668,334507,184004,184007,334522,600507,601369,1070125,1875868,1886100,1882501,1871957,1871956,1887710,1887705,1887875,1887736,1077076,1077075,1887735,3221143,5266313,5311428,4625654,3205592,3205593,5247061,8177544,12147936,17268699,23580564,31064301,38807091,268673064,12317220,12317221,17470831,23804123,17662863,12490154,8459616,5466033,3361157,3361158,5466036,8459618,12490156,17662868,256029127,255561341,254848003,8319836,12317282,16611401,16611400,22832587,30224606,29037457,29037458,30223355,22831395,22831394,22831403,22831404,30223427,29783987,22831247,22418614,22418613,29784022,38356529,36870124,28373217,28373216,22831532,22831335,22831159,16609994,16609957,16609956,22831128,255885078,11106810,7366487,4653764,4653767,7366497,11106824,15693996,10864510,7183249,7183250,7709772,11583050,255116113,7711297,4880238,4880227,4880228,7711284,11585189,16607748,11584725,7710947,7710948,11584729,16609850,16610256,16610257,16610272,22830905,16609683,16253227,11299962,7502328,7502329,11299967,16253240,16607822,16610669,16607735,11584855,7711016,4880053,4880054,7502306,4742332,4742331,4879996,7710925,11300002,7502345,4742352,4742349,7502336,11299983,16253269,16607836,16607799,11583100,11583101,7711276,4880223,2940526,1705191,1705192,2940530,4880235,7709874,4879326,4879327,7709861,11583167,16607882,16610265,22115700,16609667,11584587,11584589,16609670,22830887,29783948,30223025,255452122,16606544,11581993,11581994,11582079,16003325,11110226,11110225,11583850,16606540,16606538,22116073,16003334,16003336,11300030,11300031,16253327,16607395,16608613,16672755,22082488,15976698,11582242,11582241,11582345,7709286,7709285,5358697,3293987,3293986,5358693,5358736,3294004,1937290,1937292,3294008,3294029,5358776,8305510,254671506,23775172,31260344,39935600,42313405,33333065,25573420,18964448 Dl.O(d2) = 811758,459979,259384,254096103,811756,1427101,2469019,4127498,6588116,10024021,14567421,20299684,20302410,20302411,20301245,20300503,20300504,21608975,21608974,21608891,16044752,16044751,14569515,11792401,11792402,14567804,11479134,7634860,7122479,7122480,10025647,10024642,6588566,6588563,10024270,14567779,20300150,20300517,15580125,15580126,17658265,15580295,10777705,7121238,4483689,2693950,1560690,1560689,2693957,4483643,7120155,4482999,4483002,4999377,4999378,7874598,11792395,16860121,20302040,16045674,16045673,16663354,15580566,15580568,14569468,10025633,7122357,7122358,7122375,10779259,10779268,10779272,10779274,10779482,10779483,10779529,7122528,4484536,4484538,2694513,2694511,4484677,7119978,10775960,7121175,7121178,10777620,7571768,4788620,2886355,2886357,4788628,7571789,7120204,4483028,4483032,4483584,2693879,2693877,4483592,7121079,7576856,4792253,4792252,7576851,10025851,14569376,10025572,6589127,6589117,6589116,10025550,14569342,10779405,7122446,4484490,4484492,4484666,4484667,7122762,10779462,15582599,15583204,10779877,10779880,15583213,10779990,7122798,4484689,4484688,7122792,10779976,10780012,10780013,15579898,10777422,10777421,15578532,15578531,10776420,10776419,15578537,21607039,28745452,28745451,28745376,21487213,21487212,17665185,12491704,8460657,8460658,12491706,15583010,15583011,21612244,255963050,255132916,39151854,30553909,23136107,16875866,254558478,7885627,11806126,16875864,23131719,30549773,29445123,22111434,17491678,12333042,12333041,17491675,23131771,16871457,11802291,7882705,5006001,3026545,1760714,1760715,3026548,5006005,7381662,4663478,2809567,1629890,926889,522421,522422,926897,926874,926875,926821,522388,522389,926826,1629967,2809701,4663731,4124570,2467486,1426314,1426315,2467493,4124582,4663693,4663692,4125614,4125613,5002994,3023913,3023914,3026708,5006218,5277715,4124841,4124736,4124737,6583272,6583405,4398308,2635564,1521919,862876,862877,1521925,2635582,4398359,5465221,5465223,4663443,2809548,1629877,926780,926781,926756,926755,1629750,926879,926880,1630074,2809892,2809765,2809764,4663827,3360926,3360927,5465643,4124696,4124694,2809271,2809272,4663003,4663040,4663039,7381024,8304463,8304461,7381649,4663471,4663470,7381644,11128878,16028260,267768374,6583492,6583491,5466227,3361280,1976139,1128076,632536,632538,1128066,1976124,3361254,254332456,12490514,17663387,255394208,29545106,38108307,48018403,59405303,72135561,85720141,99667798,91506239,269992401,254473644,33218426,25471784,18871497,13447632,13447636,18871507,25471803,25471782,25471783,33218425,42176975,254693158,254980660,91506237,105730516,119966217,133833708,147078410,159453574,259167152,184541765,174934805,164113568,152226527,139495569,126121083,112262232,98280427,258791554,58094101,256978248,28342321,21130032,21130033,28342325,34122694,26257351,19538627,13990203,9610746,254953821,19538629,26257355,34122699,37144216,28630510,28630509,37144214,46721977,36839118,36839120,37514124,37514123,37897393,29328838,21998466,21998465,29328836,34122689,34122688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8570002, s2 = 16200112, dlinesl.size( ) = 8 s1 = 8221002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8221002, s2 = 11592712, int(edited[s2]) = 0 s1 = 8221002, s2 = 11592712, d1 = 70, d2 = 63 Dl.O(d1) = 256441985,30234314,38817582,256985972 Dl.O(d2) = 266434809,234949044,235898618,236764292,237552972,274815658,237552971,237552972,266802461,274831277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8221002, s2 = 11592712, dlinesl.size( ) = 16 s1 = 11032696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032696, s2 = 12387257, int(edited[s2]) = 0 s1 = 11032696, s2 = 12387257, d1 = 10, d2 = 9 Dl.O(d1) = 255009506,48647970,256285510,23937464,17593940,15830872,15830875,18486970,18486966,21083097,24342316,17951555,16650040,11617907,7737083,7737082,254719634 Dl.O(d2) = 3978705,6076361,6076363,6120313,9306518,9306521,9336659,13591692,19040449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032696, s2 = 12387257, dlinesl.size( ) = 2 s1 = 11032696, s2 = 12387257, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11032696, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 6509294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6509294, s2 = 3950382, int(edited[s2]) = 0 s1 = 6509294, s2 = 3950382, d1 = 86, d2 = 11 Dl.O(d1) = 255384430,255019738,22914430,16681341,255019740 Dl.O(d2) = 142547897,271841859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6509294, s2 = 3950382, dlinesl.size( ) = 8 s1 = 16203609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16203609, s2 = 3198799, int(edited[s2]) = 0 s1 = 16203609, s2 = 3198799, d1 = 0, d2 = 6 Dl.O(d1) = 47195300 Dl.O(d2) = 100528814,114559582,128443693,141796976,154443962,166179522,263190827,194385448,263170690,186081282,272868998,166023894,154271128,141615185,128264698,114388478,100365199,86409033,72813929,60076632,48680370,255482682,22787071,254539366,11552248,16571252,15975566,11090044,7354950,7354951,11090050,15975577,21204008,23389404,30818609,38751792,30821801,23393578,17121834,17117467,17117468,23389283,30818497,39423566,256981374,73505334,73505335,87124101,101122083,114559579,100528811,259428142,72969541,60232430,48838062,48838065,259007593,257766217,52107166,258380623,259634923,272876176,90920295,271524973,114559583,261223497,154443964,166179525,176799185,263581367,201403755,264529493,216159351,265219581,224630714,265735757,230105312,266130241,266342325,235915089,236779274,237565845,238279718,238929700,239527103,240078878,240590190,241064767,241345959,240892387,240402581,239874538,239302863,238681636,238004307,266570493,235546300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16203609, s2 = 3198799, dlinesl.size( ) = 2 s1 = 16203609, s2 = 3198799, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16203609, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 1198460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1200234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1200234, s2 = 14481635, int(edited[s2]) = 0 s1 = 1200234, s2 = 14481635, d1 = 2, d2 = 33 Dl.O(d1) = 30378059 Dl.O(d2) = 257849468,256177034,19373012,254951386,6235140,3966408,2390573,1383767,1383770,2377539,1376176,1376178,1383781,2377539,1376190,1376189,1376636,1376637,2378349,3970001,6330132,255712551,268519382,53761894,65821056,79181460,93309660,107733354,122138657,136101322,149353240,149353237,149353238,139753033,126376938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1200234, s2 = 14481635, dlinesl.size( ) = 22 s1 = 1535723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11103420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16279393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16279393, s2 = 1384700, int(edited[s2]) = 0 s1 = 16279393, s2 = 1384700, d1 = 28, d2 = 2 Dl.O(d1) = 231063163,231063162 Dl.O(d2) = 35203688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16279393, s2 = 1384700, dlinesl.size( ) = 2 s1 = 16279393, s2 = 1384700, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16279393, Dl.E( ) = 30, 1.41e-05 seconds used appending s1 = 1544800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2200387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1548901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1548901, s2 = 3637778, int(edited[s2]) = 0 s1 = 1548901, s2 = 3637778, d1 = 7, d2 = 45 Dl.O(d1) = 39251824 Dl.O(d2) = 28388358,21169717,15211612,15211611,21169715,21169710,15211608,10492956,10492955,268203029,28388351,28388354,28388349,28388350,268913035,46763415,258029555,84402927,98312608,112295257,112295258,112295263,126155413,139530651,152262189,139530649,126155412,112295262,112295260,112295261,126155410,139530645,152262185,261003716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6636019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6636019, s2 = 14088924, int(edited[s2]) = 0 s1 = 6636019, s2 = 14088924, d1 = 1, d2 = 3 Dl.O(d1) = 256814826,30680204,23263589,23263588,30680202 Dl.O(d2) = 31168622,39850593,49872813,61354443,61354444,74135941,270898549,101715851,115761987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6636019, s2 = 14088924, dlinesl.size( ) = 2 s1 = 6636019, s2 = 14088924, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6636019, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 1552028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15999081, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1216695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1216695, s2 = 11541618, int(edited[s2]) = 0 s1 = 1216695, s2 = 11541618, d1 = 0, d2 = 41 Dl.O(d1) = 30726224 Dl.O(d2) = 201684878,207542478,264795497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1216695, s2 = 11541618, dlinesl.size( ) = 18 s1 = 7985191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7985191, s2 = 14529914, int(edited[s2]) = 0 s1 = 7985191, s2 = 14529914, d1 = 84, d2 = 53 Dl.O(d1) = 255176556,11278385,11278384,254569437,3124630,3124631,5138126,8047881,7147945,4501247,2704887,2704886,4501245,7147941,8032527,5121880,5121881,8032528,254821771,5105117,3099150,1810748,1034138,1034139,1810752,254380941,8016707,8156893,267837378,254257557,1046073,1046072,1832955,3135040,5121290,3111338,3111337,3111368,3111371,3148699,1841980,1841985,3148706,5166408,254571277,3142949,1838225,1049026,1049025,1838223,3142944,5159600,254823329,5131615,5131616,8041173,11324995,7521161,4755258,2865958,1663384,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,3131400,1866866,1064915,1064917,1866872,3190028,254833163,254740414,21604986,15576682,10774935,10774936,10774942 Dl.O(d2) = 4330034,6897914,10464650 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1555328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1555328, s2 = 690231, int(edited[s2]) = 0 s1 = 1555328, s2 = 690231, d1 = 7, d2 = 37 Dl.O(d1) = 39372011 Dl.O(d2) = 50843460,50843459,254473772,31442141,23950444,17604670,17604669,23950442,254564662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1555328, s2 = 690231, dlinesl.size( ) = 12 s1 = 13401959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13239337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13239337, s2 = 6427508, int(edited[s2]) = 0 s1 = 13239337, s2 = 6427508, d1 = 15, d2 = 16 Dl.O(d1) = 17091366,17091411,17091410,12004105,8058903,5150828,5150831,8058909,12004114,17091440,23360188,30785383,39387581,47441767,47441768,58827853,47986810,38074062,38074061,38106737,29543522,29543521,22200381,22200382,29509892,22168978,16045609,16045607,16045602,16045603,22168923,22168937,29509830,35201314,35201311,44579445,47986778,41735091,32814536,25111483,25111482,32814529,40510763,50546460,49893943,39871620,39387534,30785341,30785339 Dl.O(d2) = 46824714,36946831,36946827,36946828,46824708,58190761,49076887,39147164,30549359,30549358,39147162,47440401,37532267,29289040,21962614,15869090,10998714,7280772,7280773,10998720,15869105,21962644,23162055,23162058,30579361,39176169,49106502,47441239,37533305,28988530,21704819,16899806,11826911,7903910,7903908,11826902,16899790,23161213,30578185,39175910,47781418,37857735,29289017,29289018,37533413,37857700,37532501,37532500,37532506,47440620,39175926,39175927,47440391,47441258,58827462,49076880,39147153,39147154,37532278,28987468,21703969,21703970,28987473,29289004,21962600,21962582,21962583,21962634,21962635,29289060,32709691,25024672,25024671,28988541,37533314,28988612,21704871,15663451,15663419,10843000,10842999,10843006,15663434,20944773,28122096,36595255,46461580,46461589,37857748,29289029,21962608,21962609,28988675,28987678,21704159,21704158,28987699,37532512,47440629,44398701,44398702,39348167,39348166,39348152,39348153,37532287,28987487,21703980,15662842,15662843,21703985,28987503,33053586,25325044,25325046,28988664,21704921,21704922,28988557,21704834,15663423,15663424,21704841,21704880,15663456,10843023,7168025,4514566,4514565,7168021,10843014,15036430,20944778,28122103,36595260,28988603,28988604,28988686,21704932,15663494,15662952,10842728,10842730,15662963,21704170,21704906,28988649,35023352,35023347,30748498,23326960,17061003,17061002,23326955,30748490,25567148,25567149,28987490,28987626,21704083,21704082,28122173,28988763,28990457,28988658,23636901,17321269,17321270,21704824,21704825,21704946,15663509,10843053,7168048,4514582,2712658,2712657,4514576,7168043,10364153,15036436,20944782,25755742,33544400,33544410,28988642,21704899,15663475,15662974,10842735,10842736,15662980,21704203,28987753,35023357,26942610,20057193,20057187,15573590,11969158,11969157,17061011,23326973,18956609,18956610,25567162,20944820,15036460,15036462,20944828,23436917,23436918,23636928,17321282,12196358,12196359,17321289,21207198,21207196,21703928,15663467,10843031,7168029,4514570,4514571,7168034,6827405,6827406,10364166,13649339,13649340,19117422,25755737,28954674,28954673,21948029,15858428,15662965,15662966,21704180,21958261,28902184,26942622,20057200,14372238,9878315,9878316,10772757,15573600,18590617,18956612,13520283,13520282,12366226,8356085,6489770,254228618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239337, s2 = 6427508, dlinesl.size( ) = 2 s1 = 13239337, s2 = 6427508, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13239337, Dl.E( ) = 20, 1.41e-05 seconds used appending s1 = 6598801, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15993553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15993553, s2 = 14071445, int(edited[s2]) = 0 s1 = 15993553, s2 = 14071445, d1 = 33, d2 = 30 Dl.O(d1) = 254305295,2305570,3847803,6149197,6149195,6149194 Dl.O(d2) = 259165252,258445839,53217159,257236569,33737101,33737100,42767219,256679093,25929994,19267891,254942741,9441615,13772166,13772173,13772174,255694669,256679095,27165808,20251288,20251287,27165807,35269762,44663323,255984314,71443927,67875053,55524484,55524485,60165483,48771306,44663322,35269761,35269760,38851509,38851508,48771308,258178415,259174455,109633466,121100995,106841533,106841532,106841529,103108716,89038455,75310761,62412956,50831200,40727250,255701462,24426714,18014592,12980184,8835843,8835842,12980180,18287645,24764976,268716647,51398606,47049784,47049785,51120700,47071442,255714054,24609933,24609934,32198392,40978439,51120690,256065906,75699039,65205281,65205280,78490021,92530002,106841525,109574695,95318837,81258617,81258618,95318839,259284886,137490106,137490107,261636844,113613288,99598297,259361890,47935736,38022022,38022021,47935734,59327435,72061683,85648611,99598295,91521482,260139982,64421730,52547606,42188659,38140038,29573604,22226616,22226618,22226614,22226613,29573595,23667216,17349127,12221606,8251438,5322919,5322917,8251443,12221620,17349151,23198183,29573618,25480270,25480269,33228835,39837868,49861609,47010855,37123907,37123906,256130263,18877892,13452773,9199938,6023411,6023410,9199932,13452760,15395673,21377408,28613044,25479714,18877794,13452707,9199907,6023400,6023402,9199913,13452719,9200001,9200003,13452884,18878064,25480105,25480148,28727363,23197706,16929200,11848548,11848549,16929204,23197716,30618956,33228438,33228439,33228383,30619277,23197930,23197929,30619272,33228233,33228232,25479802,25479803,25479770,25479771,33228333,39216011,39216738,30619590,30619588,39216733,33228713,33228708,28613011,28613010,23198158,23198159,30619627,31155028,25480128,25479701,25479700,25479727,20345190,20345191,255153570,16929429,255968627,30618966,30618965,39215915,49142639,52547873,49143450,49143449,49143482,39216881,33228467,33228466,30619576,23198122,23198121,30619575,33962988,26124859,19430393,13902513,13902514,19430396,26124863,33962996,43020601,53499989,65525583,64182389,257217406,49037807,60441827,70192179,57525001,57525003,70192181,59818880,59818879,52243203,41905967,32966622,32966623,41905972,52243206,54611400,54611401,65525555,65525554,73286362,60542901,49143214,39216572,39216571,49143213,60542899,73286361,60542941,60441750,49037754,48358168,38456474,38456475,47073662,37179876,37179875,44391244,35014654,35014653,44391242,55240139,67581966,81049728,74700396,61906766,58450700,48094726,38183050,29615934,29615935,38183052,48094729,58451036,47073988,47073989,47073990,37180136,28660595,28660596,37180137,47073859,58450957,64809894,64431010,59327539,256674426,38183139,38183140,30337098,22936142,22936141,29460161,38022015,38022016,38022100,38022160,29460205,22125788,22125787,29460200,38022153,29460217,29460215,38022175,47935739,47935738,38022023,29460111,22125739,22125740,29460112,38022025,41490944,41490943,41731511,41491193,41491192,48302684,51761414,41490922,41490923,256396591,29635293,37870488,29300889,21973712,15879659,15879660,21973714,29300891,37870491,38022211,47935923,47935757,38022047,38022046,47935755,47935830,41490960,41490961,38022062,38022063,47935773,257038520,41731477,32810980,29300913,21973733,15879669,11007828,11007827,15879667,21973729,29300907,37434120,37434121,47341578,58729511,51761419,41490925,40476314,40476312,38183171,36378825,27934408,27934407,36378820,37870510,41491045,38141321,29574670,22227452,22227451,29574667,32552474,24902482,18399063,18399064,13381752,13092328,13092329,18431929,24946663,24946791,32611506,41491149,50564007,40559035,31857504,31857506,25108522,25108521,25108519,25108518,25108474,25108473,32810959,32611427,32611426,41490976,32810990,25108496,18559311,18559310,25108491,32611542,24946827,18432044,18432043,19803382,14185069,14185070,19803385,26611328,256721815,54611403,54611398,54611399,66869418,259132099,94355152,108643114,108643111,108643112,112521984,112521986,98527277,84602484,71038406,58322874,46955741,37075614,28572504,28572505,37075616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15993553, s2 = 14071445, dlinesl.size( ) = 2 s1 = 15993553, s2 = 14071445, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15993553, Dl.E( ) = 46, 2.79e-05 seconds used appending s1 = 6713429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6713429, s2 = 544329, int(edited[s2]) = 0 s1 = 6713429, s2 = 544329, d1 = 43, d2 = 15 Dl.O(d1) = 257625501,256496291,31017829 Dl.O(d2) = 13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713654,9713655,12980087,9713971,9713976,14119274,19692056,26429778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6713429, s2 = 544329, dlinesl.size( ) = 2 s1 = 6713429, s2 = 544329, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6713429, Dl.E( ) = 72, 3.1e-05 seconds used appending s1 = 8189194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10161945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1229859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1229859, s2 = 12490395, int(edited[s2]) = 0 s1 = 1229859, s2 = 12490395, d1 = 10, d2 = 15 Dl.O(d1) = 31069281,23585058,17272664,17272663,23585056,28469347,36967960,31069389,31069387 Dl.O(d2) = 98712232,112707827,112707830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1229859, s2 = 12490395, dlinesl.size( ) = 2 s1 = 1229859, s2 = 12490395, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1229859, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 8405606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8405606, s2 = 11268184, int(edited[s2]) = 0 s1 = 8405606, s2 = 11268184, d1 = 60, d2 = 49 Dl.O(d1) = 255159413,23594596,31077916 Dl.O(d2) = 42208936,52569401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8405606, s2 = 11268184, dlinesl.size( ) = 18 s1 = 10211820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 440476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6523677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1235076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10158699, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9077440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11136178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1236315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1236315, s2 = 2834326, int(edited[s2]) = 0 s1 = 1236315, s2 = 2834326, d1 = 167, d2 = 41 Dl.O(d1) = 31206699,39885938,39207047,30610877,255578100,254602944,4387295,2628179,1517308,1517305,860238,860241,1084757,609224,609222,1084751,1900362,3239099,3026734,1760845,1760846,3026738,3024973,3024975,3238710,5005832,3026446,3026444,5005824,4999436,3020934,1755811,999186,999188,1755776,999166,999154,999155,1755758,3020859,4999318,3024671,3024669,5003848,255133181,16867261,15322373,11797428,7878626,5002470,5002472,5003361,7878622,10015875,11362827,11797356,7878556,5003594,5003595,3024479,3023812,3023811,5002898,3024524,1758896,1758897,1758906,1758673,1001283,1001285,1517411,2628340,1758847,1001449,1001448,1758885,1759417,1759416,3024942,3024374,3024373,5003520,5004880,3025572,1759802,1002146,1002145,1758667,1758666,3024240,3024560,3024463,3024462,5003588,7875306,5002489,5002477,3023336,3023329,3023328,5002467,5002524,5002525,7878686,7879405,5003188,3024568,1758940,1001490,564204,315965,174728,174726,315955,564187,565235,564084,564086,1001291,1758538,1758828,1001417,1001273,564155,564157,1001411,1758820,3024367,1760258,1760259,1760988,1759827,1002162,564616,564615,1002155,1002179,1002178,1759847,1756308,1756309,3021484,5000018,3023349,1757811,1000622,563692,563693,1000629,1757818,1757867,3023403,3024379,3024084,1758997,1758974,1001525,1001377,564135,315936,315939,564145,565244,316567,316566,565240,254173609,3026954,254558247,254558337,3027075,254373369,1758515,1758514,254250067,1759850,1003233,1003145,565257,565259,1003152,1001171,564015,564017,999013,1001162,1755542,1755637,3020698,3020449,1759894,1002227,564665,316224,174858,96130,96129,174855,316214,564646,1002207,1759872,3025618,3026891,3026892,3024099,3020527,1755467,1755468,1002002,564513,564512,1001997,1759587,1003088,565208,254128473,1003216,1003217,1761185,3027046,3020624,1755559,998998,562663,315092,315093,254128145,1755563,1000672,1000669,1757870,254250027,254250025,3025681,5003199,5003198,3025347,1759573,1759572,1760912,1003024,1003025,1760908,1003018,565165,565163,254250185,1003189,565293,565292,565525,565526,1003536,1760922,1761339,3027252,5006815,7883690,7879064,5007607,4999846,3021329,3021328,4999246,7874437,7881025,5004674,3025391,1759630,1002030,1002029,1002061,1002062,1002077,1759715,3025494,5004790,5006558,7883384,254811309,4998862,3020380,3020378 Dl.O(d2) = 85019560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1236315, s2 = 2834326, dlinesl.size( ) = 40 s1 = 16187633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16187633, s2 = 16189636, int(edited[s2]) = 0 s1 = 16187633, s2 = 16189636, d1 = 10, d2 = 6 Dl.O(d1) = 255538869,17171485,17171486,23446947,30877272,39482592,49412324,60812500,259485421,258238615,49766014,39747376,31069264,23585043,23585042,23585045,17272655,12151980,12151979,12151982,8182422,5252195,5252194,3209352,254180879,602547,602548,335588,335587,602584,517070,517071,916421,1610764,1881755,3212534,4607570,4607573,2783956,1614792,918432,518006,518008,918440,1614809,2783689,3228874,2774505,2774504,4608654,5235391,3195612,3195611,4629253,4629255,3212425,3212423,1881692,1073494,1073496,1881699,3207928,4622288,7308271,5252430,5252429,4611498,3212378,3207466,1878428,1071648,1071649,1072525,1072386,602556,602559,1072236,1072235,1879461,2784134,3208943,3208944,2784122,2784121,3226857,267841829,8201538,7319474,4621188,2782730,1614144,918128,517872,290505,290504,517870,918126,1614138,2782717,4621166,7319441,11044596,15921845,17271540,12150521,8180349,8180350,12150523,254806550,8183547,8183548,8195439,8181046,5250624,3208013,3208015,5250629,8181053,12150411,12150410,11050872,7326264,7326268,7319983,7319985,11039276,8150968,5241666,4959951,4959954,7817758,8258693,12121848,11044894,7319882,5264049,5241567,3200434,3200433,5241574,8149767,5221268,5221266,8149489,5221089,5221084,8149472,5263912,3219027,1886228,1886227,1886241,1886239,3219044,5263940,5250280,3207726,1878575,1878577,3207739,5250308,5237311,254263325,1076421,604639,604640,1076428,1886650,3219607,3223125,3219460,3219459,3219764,3219766,5264701,3238111,1899693,1895472,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118226,1957625,3328632,254585131,3260059,1915499,1093996,1093997,1915503,3260064,4629577,3659872,3659873,5862287,254586069,3264341,3264340,5314933,8212125,5283240,5283239,5319121,3267921,254183621,616054,616051,1097482,1921152,3195850,3195851,3248729,5297877,5314255,4384465,2626336,1516189,1516184,1516164,859621,859622,1516165,2626301,3034876,3226731,5272307,8201344,8189585,5259165,5259164,3224232,1889994,1889996,2775045,4609357,3034745,3034744,5016681,7895718,8181773,8167001,5236763,3196719,3196718,2780933,2780932,4618355,4618343,4618344,4626346,4626347,4622340,4622336,7291157,5294096,5294094,4618961,2781275,1613336,1613337,2781278,4609483,4609484,7305060,11030451,15909105,15921674,11044425,7319269,7319270,11044427,255443821,17476477,17301575,17274075,12153181,8183371,5252989,5252988,8183369,11043087,11048316,11042124,11042125,11039138,7316247,7316245,11041773,12121908,8154000,254389463,3187380,4965943,2999328,2999329,4965947,7824227,8167446,12137496,17236663,23008435,16769116,11722963,8233232,8233231,12201803,11482613,11401766,11401765,8175297,8175296,8191659,5309205,5309203,8236894,12167193,8198716,8198318,5268638,5268643,8198329,7402631,4676599,2817388,1634476,1634475,2817384,3243930,1903805,1595507,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1910346,3252874,3257182,1913427,1913425,3257177,3196183,3196184,3224508,1890209,1890208,3224506,5269897,3244699,1904383,1087196,610436,610435,1087191,1904375,3244689,5293457,4735262,2853565,1655968,1655969,1890252,1078605,605778,337104,185214,101348,101347,185213,337101,605769,1078586,1890220,3224527,1920352,1920351,3220787,5265923,5308089,5294380,3245555,3245554,3245647,5294464,5274358,5274359,3244258,3244257,1920045,1898597,1898598,3236369,5283359,5310237,5310427,3260463,3260462,3228001,3227998,5273706,4626314,2786333,1616324,1616325,1085381,1085380,1901483,3240739,5255041,3263670,254183673,1097866,1921784,3268711,3246790,1905821,254133661,340070,186659,186660,340074,340184,340182,611596,1089314,1907884,3214391,3214390,5258635,5298940,3249804,3249803,5298936,5025903,3042097,1771474,1771475,3042101,5025906,5297971,5297973,3265996,1919771,1096663,1096664,1919758,3265972,5316902,8174097,5243633,3202273,1875006,1875005,3202271,1877100,1070866,1070865,1877097,1877215,3204791,5246648,7302025,11027711,11904942,7962527,5065335,3069544,3069542,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11891331,7951098,7951099,7170019,6001256,6001259,9169098,7952159,7952156,7939528,7939526,11876597,11211958,7439283,5057801,5057800,7952278,10438414,15134670,21069764,17013132,11927738,7981278,7981277,11927736,13545728,13545729,16996011,11952105,8000879,8000880,11952107,17038150,22283255,16966359,11878259,7940708,7940707,11878257,16486560,11486925,11486924,16486557,19848514,14220203,9776164,6427959,6427958,5050126,3059779,1783755,1783757,3059784,5047510,5047509,3061164,3061167,5052806,7945163,9609244,7162062,7162061,10834672,15653518,21693989,16960310,11872202,11872201,16960309,12356631,254824902,5164873,5164872,8070915,12012984,17099030,16993744,254257068,5067486,3071408,3071407,5067481,7965211,11908258,16993738,23248833,17656562,12485895,11667931,7778017,4929424,3315716,1950503,1114280,1114278,1950496,3315700,3315734,5392196,5390740,3314864,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,104023,57196,57193,104009,190474,347371,625169,1113995,1949976,3314746,5390553,7251449,10956034,10947276,7244369,4567350,2746958,254343721,7244371,10947281,15799716,21874572,29185925,37746952,40045233,50064573,61542647,71809653,71809652,71809655,72465107,59729617,48345741,38443632,38443633,48345743,59729619,48350430,48345745,38443635,29887383,22533164,22533165,29887384,34980601,34980602,44358094,38443604,29887344,255512040,16359755,16359760,11384954,7563758,4782604,4782605,7563732,4782600,2881934,1672263,951339,951341,1672264,2881936,4782603,7563757,11384951,7563755,7563754,11384947,16359792,22533158,22806475,16589059,11568831,7700276,7700275,11568829,16589056,16589062,16589061,11568832,255114513,22806476,22806477,30197318,38781798,48704203,258036410,48060267,40389335,31696667,30197320,30197319,256982891,40389341,31696679,24188966,17820348,12617141,12617140,17820346,24188961,31696671,40389337,257679305,48060275,48060274,59451524,72189447,85783529,99737344,100928370,114981884,100928369,269843178,100928372,86945775,73335064,60590742,59575000,48188670,48188671,256594718,60590698,60590700,73335023,73335062,86945770,86945722,268423922,73092782,73092785,60353158,60353157,70714027,57997476,46621375,268909857,28238602,28238599,28238600,30431853,23025914,255956259,39021280,48944321,60341231,53866718,43342312,34242666,26365949,19633231,19633232,26365951,34242670,43342319,53866723,43342315,34242668,34242667,43342314,47823388,59221509,61612007,50131452,40111320,257075819,59221506,61612008,61612009 Dl.O(d2) = 20594530,14770970,10158465,254991799,20594537,23795526,23795525,31281668,33859689,31281690,23795548,23795549,27651764,20594546,14770975,14770974,20594545,23795511,17463213,17463214,23795513,31281651,24788711,24788710,31281718,30900493,30900494,23795642,17463308,17463307,256011605,39956571,31281691,23795546,17463234,12311261,12311262,17463235,23795547,31281693,31281778,23795630,23795629,31281774,31281729,30900489,29267016,25098257,18550495,18550496,17463265,12311283,12311282,17463262,12311386,8315590,8315589,268111027,23795597,17463277,12311291,8315533,5365576,5365577,8315536,12311297,12311330,255171813,23795668,17463377,255560647,31281865,39956728,49973340,257539952,47067003,58325626,46958551,37078165,28574552,28574551,37078164,37174271,28656152,28656151,37064196,37064231,36771654,36771656,46656562,37174429,28656204,21412604,21412602,28656196,37174413,47067078,47067021,37174366,28656160,21412582,21412581,28656158,37174358,47067005,47546919,37640641,255862341,15733746,15733747,268392549,22309830,16162816,16162817,22309831,29662454,38228921,29787737,22422746,16257027,11302707,11302706,16257023,22422739,29787725,38359542,33661641,25855662,25855663,31829972,40527319,31829974,29254952,29254951,37820190,47742487,49153212,40527386,37143463,37143461,38621357,38621380,38621381,46760828,36882180,30047664,30047665,256052840,256122386,59929672,72669682,62026067,52400936,52400937,62056532,256637740,40527201,42056980,33107770,33107771,42056981,50563918,62056524,50563772,40527196,31829878,31829880,38621395,38621394,31829868,31829867,40527179,50563756,48258576,48258575,40527218,31829894,31829893,40527216,50563793,62056545,59929618,48536299,38621347,38621348,48536301,59929621,61194841,62056483,50563734,40527167,40527166,50563733,62056482,73276088,60531573,49131308,39697472,31020408,31020407,39697468,49716213,39697455,31020400,31020399,39697451,49131326,49716195,60531601,60531600,73276111,61194882,49716239,49716238,49716254,48536318,48536317,59929627,58942606,58942607,71664107,72051074,59316220,47923020,47923019,59316214,60531622,49131349,49131352,49131432,39204548,39204549,39697422,31020379,31020380,39697427,39204453,30608574,23189294,23189292,256468653,49131305,60531569,49131448,39204561,39204560,39204608,30608658,23189346,16922616,16922617,16922630,11843253,7914858,5031450,5031449,7914855,268100037,23189355,30608677,39204633,49131521,60531511,60531510,73276046,73276166,73276167,86887587,86887546,73276061,73276062,73276158,60531677,60531533,49131280,49131281,60531537,60531523,49131275,49131274,40329088,40329087,50356299,60531549,50356316,255684020,31639512,40329101,50356321,61840469,60531816,49131551,39204653,30608687,23189361,23189362,30608690,39204664,40002452,40002437,31324720,23834061,23834062,31324724,40002446,50020787,52654860,61499230,50020998,40002577,40002579,50021005,61499239,72119158,59387813,50356323,40329105,40329106,42521683,52932554,52932520,52932518,64858337,74276109,61499243,61499244,61499266,74276124,64858010,52932146,52932149,60531799,60531800,72119160,72119162,78055435,64858248,64858247,78055431,73276271,61499269,50021031,40002603,31324806,31324805,40002598,40002585,31324796,31324794,40002435,40002440,40002441,50020780,52654856,52654857,64554490,61499182,50020944,40002547,31324778,31324779,40002551,50020955,42786509,33755543,33755544,38844410,38844411,47321756,47321755,58710894,71442447,85015430,74360345,61583845,61499205,50020970,40002558,40002559,47321765,47321766,49131556,49131557,60531821,64858213,61499214,61499213,74276087,78055356,64858149,52932285,42521371,33521009,33521008,42521364,52932279,64858146,52932361,42521444,33521056,33521055,42521442,52932356,53237965,53237967,61499219,61499172,50020936,50020935,53237927,42786525,33755553,25947884,25947883,33755547,42786517,53237922,53238027,42786604,42786605,40002554,40002553,50020962,61499196,74276067,65226715,53237941,53237940,61499257,61499256,73276255,73276254,70871761,70871762,65226770,65226771,65226767,53238006,42786577,33755583,25947898,19284012,13785566,9451838,9451839,13785568,19284017,25947906,33755595,257237595,65226699,258430418,79369775,78516273,65226827,53238056,269518436,78516208,270008686,65226736,53237962,53237961,42786585,42786586,53237972,50020629,269398337,74275832,65226804,53238042,42786623,33755611,25947914,25947916,33755613,42786500,42786501,53237906,258447033,66001427,257270637,43404022,53930809,66001433,78516258,259075631,65226730,53930810,53930813,66001436,79369785,93506718,87878218,74275816,74275815,87878215,78516235,65226760,65226759,78516228,78516229,92562988,87878311,74275960,74275961,74275789,74275791,87878204,74275804,61498841,50020598,40002289,40002290,50020601,61498844,70789325,84348129,78516264,65226815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16187633, s2 = 16189636, dlinesl.size( ) = 2 s1 = 16187633, s2 = 16189636, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16187633, Dl.E( ) = 18, 2.31e-05 seconds used appending s1 = 9684253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9684253, s2 = 9653152, int(edited[s2]) = 0 s1 = 9684253, s2 = 9653152, d1 = 153, d2 = 169 Dl.O(d1) = 13420208,9175698,6005601,3755873,3755875,2249502,2249500,3545206,3545201,5697760,8751356,12868360,9713654,9713659,11580687,9714034,9714037,14119390,14229899,17428853,12284369,8296084,8296081,255557371 Dl.O(d2) = 245536184,245394614,245244591,245084692,244913589,244913590,244913591,244731125,244535605,244325609,244099699,243856716,243595402,243313719,243012397,242691463,242347682,241977696,241577476,266970940,240173773,239628359,239039115,238398511,237696310,236923369,236074278,235140742,234114316,232986166,274568543,228789528,227016483,224984479,265253719,216694692,212800315,208036492,202258619,195386745,187349578,178116005,167655584,156048648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9684253, s2 = 9653152, dlinesl.size( ) = 22 s1 = 6712565, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11084026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084026, s2 = 1741438, int(edited[s2]) = 0 s1 = 11084026, s2 = 1741438, d1 = 73, d2 = 51 Dl.O(d1) = 258898472,59499555,48111445,48111439,48111440,59499549,50294264,40272919,40272918,37749850,29188581,29188582,37749852,47671969,46766471,46766470,37525516,37525515,47433154,256622908,72234975,59499520,59499519,72234973,85827378,77794609,64611894,64611892,77794606,74867457,258066516,59499540,72234999,256622906,70883003,64331242,64331243,257177234,257766468,52124558,48832084,38910882,38910883,48832087,257177256,58314129,52531000,42173102,33213675,31243303,23759024,17431648,12286345,8297331,8297332,12286347,255557667 Dl.O(d2) = 44822075,55729973,52909243,42499689,38102079,254344914,16066779,16066778,22195369,29538520,38102078,38102072,29538517,29538516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084026, s2 = 1741438, dlinesl.size( ) = 14 s1 = 953998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15589769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14953355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9470080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 485013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 485013, s2 = 14602503, int(edited[s2]) = 0 s1 = 485013, s2 = 14602503, d1 = 0, d2 = 3 Dl.O(d1) = 12336000,17495558,23834549,31325270 Dl.O(d2) = 258881053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 485013, s2 = 14602503, dlinesl.size( ) = 2 s1 = 485013, s2 = 14602503, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 485013, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 15382773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6475558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8201827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15102554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8073575, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1251314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14055594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055594, s2 = 14336139, int(edited[s2]) = 0 s1 = 14055594, s2 = 14336139, d1 = 41, d2 = 53 Dl.O(d1) = 26243293,25946787,19282947,13784465,13784466,18157994,19263330,19263329,25925087,19266432,13770965,9440666,6188665,6188664,9440664,13770963,255694593,19526182,19526181,19526183,26091713,26091712,26243289,26243290,33115314,25380039,18795296,13388608,9152751,5989989,5989990,9152752,13388609,18795297,18292949,12984285,8839067,8839068,12984287,18292953,24772155,32394771,32394770,41217869,51414167,41217875,32394774,256595173,51414178,63110538,72323698,59589160,48202679,38293272,38293271,48202678,59589159,57992193,46616311,46616310,57992190,48694378,48694379,48694382,38772433,38772434,30188963,30188962,38772447,33924336,33924337,257247467,52406790,42063093,256430686,25378987,18794217,13387548,9151732,9151733,13387550,268294219,33114202,42063094,33114189,25378982,25378983,33114191,42063096,52406792,42063106,42063105,52406796,64262013,52406797,42063104,33114199,33114200,33114192,269822242,34645377,269920332,59063131,47663002,37741087,29180234,29180235,37741089,269329731 Dl.O(d2) = 39392843,30790250,23364437,23364436,23364431,17095411,17095410,23364429,30790225,39392826,49320933,39393251,30790621,255532951,12008781,12008780,17095571,23364679,30790524,37606215,47510735,58890285,269073396,256633338,49321395,49321252,39393146,39393145,49320896,49320761,39392659,39392560,30790011,30790012,23364302,17095304,12008616,8065809,8065810,12008626,8065842,5159560,5159559,8065836,12008688,17095428,17095362,17095363,23364370,30790172,30790560,23364646,23364600,17095518,17095517,12008779,12008777,12008661,12008660,268245015,268427311,30772317,23349104,23349105,256481247,30790676,23364729,23364728,30790674,39393322,39393173,30790550,23364642,23364643,30790552,257027699,30790266,23364450,23364449,23364615,30790493,39393116,49320852,39393109,39392990,30790381,30790380,30790608,39392961,30790352,23364507,23364506,30790348,39392960,32384225,24763764,24763763,32384222,30772331,23349110,17082029,12008718,12008719,17095481,23364546,30790403,39393019,257329174,49321105,49321101,39392992,39392991,49321099,49321087,39392981,30790373,23364526,17095469,12008712,8065851,8065852,8065869,8065870,255146911,256482517,30790398,23364543,23364544,30790401,39393017,49321084,39392978,255980605,255146909,12008710,17095463,23364516,30790357,30790320,23364490,268102925,12008704,17095452,23364496,30790332,39392937,49320872,49320873,50888311,50888310,60723303,256118198,30790397,30790396,39393012,37061938,28560818,28560817,37061925,37061926,33056387,33056388,256118246,30790343,23364502,23364503,30790345,39392954,49321072,60723314,58095242,46723122,44756788,44756787,46940692,37061915,254984700,21334495,28560794,37061918,46940696,39392934,30790328,30790327,39392931,49321051,43367090,43367091,49321299,46940728,254916030,21334511,21334510,25327994,18748846,18748847,24161653,28560823,21334506,15361269,15361268,21334500,28560807,37061929,44756837,39392926,39392927,39392982,39392944,39392945,49321064,39393091,30790455,23364583,23364582,30790452,39393088,33056662,255758164,52339256,60723311,49321069,49321068,46940727,46940726,58306934,60723304,49321045,39392929,39392930,49321049,50126023,44756791,44756792,37061956,28560837,21334517,15361275,10612967,7003198,7003200,10612971,15361277,254984704,28560814,35328984,27203898,20276293,20276294,27203901,35328991,44756845,55667119,59266881,55667139,55667140,61891989,61891988,74685614,88313304,98511332,256633300,58306918,50126028,50126027,61606062,61606063,74382811,257777284,61606079,74231596,61452393,61452392,50401436,40366111,40366110,50401432,61891967,50401427,50401428,61891969,59266883,47871321,37953144,37953145,44756848,44756776,44756777,52263863,52263865,64112690,68066584,55667126,55667127,55667132,44756858,44756859,49321294,60723537,61892043,74685663,68066525,68066524,81556641,73353484,73353485,81556685,87985825,87985826,84586389,71022364,58306958,58306957,71022361,84586384,73471507,60723340,60723341,73471509,61891979,58306922,46940717,46940718,58306925,71022346,61452357,49974368,49974369,55667125,68066583,59266880,258111111,49974382,49974383,61452384,61606057,61606071,50126020,40105825,40105824,257658303,74382820,61892050,50401490,50401489,61892047,74685667,87836273,74231571,61452367,49974376,49974377,61452373,71899682,71899680,71022356,58306956,58306955,71022352,74231592,74231591,87089263,99426523,257929684,71022341,71022340,84586377,74231553,74231552,87836260,87985824,87985823,260148263,102308827,88313355,74685670,74685669,63113892,63113891,76119467,89925654,80348115,71899672,59161575,47762944,37840457,29273991,29273992,31671406,24161648,17794084,17794083,24161646,31671400,40366154,50401498,50401499,61892057,74685678,85662978,78489660,76119465,72003015,72003014,78489662,85662975,74231577,269340746,39957724,37840462,37840463,257492395,64112693,61605984,50125938,50125937,51417053,41220384,41220383,51417051,63113890,54665328,43922786,34649564,26658240,26658241,34649567,43922788,54665330,66921879,258144618,64112705,64112704,72441524,59705444,48318722,38407949,38407951,48318725,59705452,72441540,63113899,63113898,76119477,86148436,72550183,72550180,86148421,72550176,257579114,48429037,47950435,47950434,59341802,72075829,85662965,74685695,74685693,88313370,91177810,79086812,79086813,93202030,107602557,121972623,114028521,260612161,260580962,99612433,113626788,114028522,100001939,100001940,91177796,91177797,86039599,86039598,100001933,100001936,91177783,77259319,77259320,91177785,105399690,119635664,259801252,146763033,133507363,119635674,105399700,259011801,77259338,258701705,71522093,85094173,99019387,85381003,71792173,71792172,85381001,99325236,113328166,127187178,133507374,133507373,123812776,123812777,114685433,100639990,86666678,86666679,100639993,260651533,116592804,126860048,113007661,99019390,99019389,113007659,126860045,140207113,140533471,127187201,113328186,113328187,126860053,113007666,99019395,85094181,85094182,99019397,113007671,119635663,122955008,127499280,113626779,99612424,85662954,85662953,99019385,113007654,99325234,99325233,113007662,99019391,85094178,85094179,259946851,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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 15536529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1252392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1252583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8576264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15050592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14589703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14589703, s2 = 15933798, int(edited[s2]) = 0 s1 = 14589703, s2 = 15933798, d1 = 0, d2 = 0 Dl.O(d1) = 155989240,143448669,130116702,116205403,260736615,88152954,74538013,61753950,50273706,40252366,40252367,40252368,31564885,24059179,17704296,12522681,8484424,5485050,3375911,1986943,1135204,1135205,1986945,3375913,3427255,5541869,8543942,12592787,17791588,24158895,31668325,40362834,50397897,61888229,74681303,88308341,102302919,116393025,130226794,143550899,156082857,156082860,167685401,178142563,187373469,195408131,202277725,208053212,212814831,216707515,219934069,222656785,224995000,227026485,228798630,230359689,231746728,231365967,229938967,228330756,226498192,224394366,221971885,219151003,215809918,211770562,206827477,200845781,193758044,185492297,176020280,165327149,153535067,262128524,127501742,113629497,99615545,85666716,72080193,59346470,47955227,47955228,48429432,48429431,59815352,72550491,86148595,100114441,114148085,120152453,105940465,91733118,77805404,64622960,64622959,53211449,42761677,42761676,42446025,33452940,25681517,19058608,19058609,25681504,19779490,16790574,16790575,23034219,18691627,18691628,25263021,32986377,41926741,50309514,40287990,40287991,50309516,61790160,64114169,58022690,46650026,36764963,28269867,21067288,15132760,15132756,10437122,6880484,6880483,10437116,15132740,21067259,28269837,36764932,39230345,39230344,39384858,39384857 Dl.O(d2) = 155989240,143448669,130116702,116205403,260736615,88152954,74538013,61753950,50273706,40252366,40252367,40252368,31564885,24059179,17704296,12522681,8484424,5485050,3375911,1986943,1135204,1135205,1986945,3375913,3427255,5541869,8543942,12592787,17791588,24158895,31668325,40362834,50397897,61888229,74681303,88308341,102302919,116393025,130226794,143550899,156082857,156082860,167685401,178142563,187373469,195408131,202277725,208053212,212814831,216707515,219934069,222656785,224995000,227026485,228798630,230359689,231746728,231365967,229938967,228330756,226498192,224394366,221971885,219151003,215809918,211770562,206827477,200845781,193758044,185492297,176020280,165327149,153535067,262128524,127501742,113629497,99615545,85666716,72080193,59346470,47955227,47955228,48429432,48429431,59815352,72550491,86148595,100114441,114148085,120152453,105940465,91733118,77805404,64622960,64622959,53211449,42761677,42761676,42446025,33452940,25681517,19058608,19058609,25681504,19779490,16790574,16790575,23034219,18691627,18691628,25263021,32986377,41926741,50309514,40287990,40287991,50309516,61790160,64114169,58022690,46650026,36764963,28269867,21067288,15132760,15132756,10437122,6880484,6880483,10437116,15132740,21067259,28269837,36764932,39230345,39230344,39384858,39384857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14589703, s2 = 15933798, dlinesl.size( ) = 2 s1 = 14589703, s2 = 15933798, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14589703, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7568458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7568458, s2 = 1601892, int(edited[s2]) = 0 s1 = 7568458, s2 = 1601892, d1 = 10, d2 = 22 Dl.O(d1) = 268144986 Dl.O(d2) = 40395785,40395786,40395787,31703701,24196160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7568458, s2 = 1601892, dlinesl.size( ) = 2 s1 = 7568458, s2 = 1601892, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7568458, Dl.E( ) = 30, 2.41e-05 seconds used appending s1 = 10332332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10195590, s2 = 8466098, int(edited[s2]) = 0 s1 = 10195590, s2 = 8466098, d1 = 84, d2 = 54 Dl.O(d1) = 5506020,268002663,255582825,31593606 Dl.O(d2) = 258907047,102263036,116357105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10195590, s2 = 8466098, dlinesl.size( ) = 2 s1 = 10195590, s2 = 8466098, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10195590, Dl.E( ) = 86, 4.32e-05 seconds used appending s1 = 6526523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1599249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1599249, s2 = 7358837, int(edited[s2]) = 0 s1 = 1599249, s2 = 7358837, d1 = 2, d2 = 77 Dl.O(d1) = 40350639 Dl.O(d2) = 265816936,228658689,226870138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1599249, s2 = 7358837, dlinesl.size( ) = 2 s1 = 1599249, s2 = 7358837, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1599249, Dl.E( ) = 112, 4.79e-05 seconds used appending s1 = 8046936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163025, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15914703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1264365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6527335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13245329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9345309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1606806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10343255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343255, s2 = 11249166, int(edited[s2]) = 0 s1 = 10343255, s2 = 11249166, d1 = 27, d2 = 29 Dl.O(d1) = 11588003,9351084,9351086,13624059,15507544,13600071,9312584,6100304,254657849,13600072,19051115,25671955,256660721,31699761,31699762,33386221,31795634,24281877,17901280,12681103,12681100,17901272,24281867,31795624 Dl.O(d2) = 154340724,262277151,167828723,156236877,156236876,143708718,130383071,260755342,260028266,86480992,72885795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343255, s2 = 11249166, dlinesl.size( ) = 2 s1 = 10343255, s2 = 11249166, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10343255, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 499370, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14070384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1423979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1423979, s2 = 13251340, int(edited[s2]) = 0 s1 = 1423979, s2 = 13251340, d1 = 35, d2 = 0 Dl.O(d1) = 36920601,31866619,31866618 Dl.O(d2) = 12498721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1423979, s2 = 13251340, dlinesl.size( ) = 8 s1 = 8263147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8263147, s2 = 7208745, int(edited[s2]) = 0 s1 = 8263147, s2 = 7208745, d1 = 7, d2 = 0 Dl.O(d1) = 75384419,62468419,50870161,40755130,32000131,268457363,255212323,5651053,3513404,2089130,1201483,676764,676767,682745,380446,208975,120888,120889,111895,61338,35498,35494 Dl.O(d2) = 188431595,179399004,179399003,263682679,203024941,264603295,217085961,217085974,220238047,222908111,265624231,274420820,265072235,265624235,228953689,274484271,222908137,265457477,220238084,265457475,265273743,264849127,213293813,265072219,208661439,274010224,188431609,188431606,188431605,264023889,203024958,208661405,208661439,274010224,188431610,264023891,274030229,217085973,265457469,265776375,266270295,235230900,266546169,274814392,237658939,236882323,266334816,266121398,266000038,230275634,265724526,265394742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8263147, s2 = 7208745, dlinesl.size( ) = 28 s1 = 502486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 502486, s2 = 6583961, int(edited[s2]) = 0 s1 = 502486, s2 = 6583961, d1 = 53, d2 = 42 Dl.O(d1) = 12776615,12776616,255605083 Dl.O(d2) = 256227533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 502486, s2 = 6583961, dlinesl.size( ) = 38 s1 = 1614923, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 346723, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1617980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1617980, s2 = 13549730, int(edited[s2]) = 0 s1 = 1617980, s2 = 13549730, d1 = 5, d2 = 22 Dl.O(d1) = 40884798 Dl.O(d2) = 37325536,37325537,47234279,58627009,71363662,84940310,71438138,71438137,85010982,98936565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1617980, s2 = 13549730, dlinesl.size( ) = 2 s1 = 1617980, s2 = 13549730, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1617980, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 14124177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124177, s2 = 2777456, int(edited[s2]) = 0 s1 = 14124177, s2 = 2777456, d1 = 13, d2 = 17 Dl.O(d1) = 262791660 Dl.O(d2) = 201963269,195046175,186961464,177681612,167183846,155552739,143004633,129676905,115780390,258417162,269511132,256654134,39876230,39876231,49897669,61378047,74158511,87762821,260109893,115780392,129676906,137648250,123966638,109826788,95622343,81588584,68098762,55701229,55701228,68098760,81588583,95622341,109826787,123966637,137648249,150645889,162741885,173743841,183514981,263811311,199412875,205634814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124177, s2 = 2777456, dlinesl.size( ) = 2 s1 = 14124177, s2 = 2777456, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14124177, Dl.E( ) = 34, 1.79e-05 seconds used appending s1 = 6669455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6669455, s2 = 7879773, int(edited[s2]) = 0 s1 = 6669455, s2 = 7879773, d1 = 17, d2 = 23 Dl.O(d1) = 257145270,40937236 Dl.O(d2) = 25517072,18907271,254285996,9217195,267815290,6031254,6031256,6029457,3772060,2260121,2260125,3624448,5744584,5744582,8812926,11501806,7650723,7650721,11501782,9466026,8467821,8467819,9218692,6036431,6036434,9218702,8758832,8758830,6351452,6351450,9658847,12502507,8812231,8812229,8821267,8824313,8820903,7156100,4506831,2708216,2708221,2708695,2708700,3775906,3775911,2263388,2263389,3773243,6031430,9212515,13470810,18902337,257143905,63023538,76006679,89784049,103885476,259069762,259021118,257779646,91440144,268740930,110862906,259021120,69343484,258519848,57358878,257984455,259235681,111410714,110934467,259219123,69445106,56859264,45682496,35999824,35999825,257362343,69445108,272006196,110132184,96042300,81999318,68474591,68474590,81999316,96042298,110227933,111454159,97496659,97496658,97930228,97930219,270785908,125682122,259058364,110458043,110486535,96356329,96356330,93357738,93357736,258573651,68771456,82297248,95968821,81918449,68393727,55946380,44985787,35516600,27358879,20402011,14641740,10072003,6616501,4143602,4143600,4162000,4177439,4177441,4178958,2498144,1441864,1441858,2498213,2480765,2480760,4149081,6626758,10090419,14670863,20444585,27421138,35606049,45111636,56109562,68206563,69350593,69350592,82872551,96818341,109622674,110261899,96083804,82046317,68522926,56059861,56059860,68522923,82046312,96083793,110261894,124344643,137942393,138450195,125037164,111139360,97125685,83200853,83200854,95898484,91629344,77700429,77700431,82169201,82169202,96196035,110354605,96901800,82967661,82967660,96901798,110937593,124867272,138318197,147801792,134672089,120873977,106623854,92324000,92323999,106623852,109994212,124129442,137783940,150743581,162811237,151026170,138194847,124697402,110715163,96626003,82646860,69117780,56569585,45458174,45458175,56569588,69117782,82646864,96626008,110715170,111349597,97360329,83444967,83444968,82717215,69189274,56632052,56632051,57395230,70047792,83319676,69776676,57141672,257977903,57141675,69776679,69444948,56859123,45682366,35999698,35999699,256255857,20609796,14780813,14780812,20609795,256255855,269254909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6669455, s2 = 7879773, dlinesl.size( ) = 12 s1 = 1280678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1280678, s2 = 14762337, int(edited[s2]) = 0 s1 = 1280678, s2 = 14762337, d1 = 0, d2 = 47 Dl.O(d1) = 32209646 Dl.O(d2) = 262929826,130337234,116500496,102405217,88404901,74773343,61977107,50484872,256551637,255591649,12651633,8589977,8589978,9290031,255272467,13648690,13625350,9329975,9329974,13625347,19084374,25639890,19023068,19023069,19082913,16077179,16077180,13554149,13554150,15461495,15461494,18983360,13546361,13546360,255674341,13584939,9301861,9301859,13584934,16614459,11588706,7713935,267833173,2941932,4882264,7713934,11588703,16614452,19114152,13646590,9344610,6120700,6120701,9344613,13646591,19003967,17822928,12619053,12619054,17822932,19082815,13624218,13624219,19035619,13587717,13587718,19035620,19113686,20990605,22433884,17542069,12373069,8360942,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,4828564,7632113,11474519,13592394,13592393,19041357,19139012,19139013,19009297,19009299,25623877,33389476,29799807,22433381,22432118,22432117,29798613,33599074,255258520,35156746,35156745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1280678, s2 = 14762337, dlinesl.size( ) = 2 s1 = 1280678, s2 = 14762337, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1280678, Dl.E( ) = 48, 5.6e-05 seconds used appending s1 = 14947311, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7947909, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9088921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1625277, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15698389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15698389, s2 = 8077323, int(edited[s2]) = 0 s1 = 15698389, s2 = 8077323, d1 = 8, d2 = 8 Dl.O(d1) = 217052027,220210318,222885091,225188543,222885089,274072108,208604330,208604331,213250273,217052030,220210318,220210316,217052025,213250270,208604330,202951395,196206824,188323760,179272574,168986055,157522457,145087581,260396690,103855065,258526844,62990154,51311675,41128711,41128712,35037825,26957814,20073981,14391273,9897317,6504508,6504510,9897323,14391286,20074006,26041854,31189239,31189240,39871975,48279610,39871936,32171176,24585265,18141178,12864305,8748733,8748734,12864312,18141193,18581054,25134829,29795490,38368190,46980839,46980840,58350250,71066552,258994111,257753073,41569658,32674776,268286573,13123959,8945002,8945003,13123967,13126161,13126163,18064398,18064395,18475685,13125841,8946466,8946469,13125812,8946453,8946456,13126427,13126426,18333164,18333163,24825479,32060195,40813429,40813428,32055070,24488780,24488779,32055064,40815638,50935067,46430179,269297585,258631891,59624530,257528787,256406273,22397027,16236629,11288223,7494758,4737741,2855432,1657199,942954,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495067,255091689,22398479,29760072,38330412,29761552,29761551,32086021,24512273,24512274,28546880,21322839,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095910,18080304,12818419,12818418,255014568,15530589,15530590,13677378,9366359,9366360,13677381,18080415,18080416,24509479,24752726,18278059,12972787,12972786,18278058,24752724,28294585,21087466,254903274 Dl.O(d2) = 217052027,220210318,222885091,225188543,222885089,274072108,208604330,208604331,213250273,217052030,220210318,220210316,217052025,213250270,208604330,202951395,196206824,188323760,179272574,168986055,157522457,145087581,260396690,103855065,258526844,62990154,51311675,41128711,41128712,35037825,26957814,20073981,14391273,9897317,6504508,6504510,9897323,14391286,20074006,26041854,31189239,31189240,39871975,48279610,39871936,32171176,24585265,18141178,12864305,8748733,8748734,12864312,18141193,18581054,25134829,29795490,38368190,46980839,46980840,58350250,71066552,258994111,257753073,41569658,32674776,268286573,13123959,8945002,8945003,13123967,13126161,13126163,18064398,18064395,18475685,13125841,8946466,8946469,13125812,8946453,8946456,13126427,13126426,18333164,18333163,24825479,32060195,40813429,40813428,32055070,24488780,24488779,32055064,40815638,50935067,46430179,269297585,258631891,59624530,257528787,256406273,22397027,16236629,11288223,7494758,4737741,2855432,1657199,942954,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495067,255091689,22398479,29760072,38330412,29761552,29761551,32086021,24512273,24512274,28546880,21322839,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095910,18080304,12818419,12818418,255014568,15530589,15530590,13677378,9366359,9366360,13677381,18080415,18080416,24509479,24752726,18278059,12972787,12972786,18278058,24752724,28294585,21087466,254903274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15698389, s2 = 8077323, dlinesl.size( ) = 2 s1 = 15698389, s2 = 8077323, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15698389, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 15089205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15089205, s2 = 15056742, int(edited[s2]) = 0 s1 = 15089205, s2 = 15056742, d1 = 8, d2 = 10 Dl.O(d1) = 270391362,270515717,40035239,40035241,256360974,21435526,21435527,28685329,37209410,40035287,50055113,53889427,50055101,40035248,40035246,50055098,61534237,53191900,42742325,42742327,38292741,38292740,48202185,59588688,65956188,65956189,61534282,61534281,65956227,65956226,65956195,65956196,79320077,65956239,53889495,53889494,65956237,61534228,53889434,43365444,34265903,26389085,19654731,14088144,14088145,19654734,26389094,26389096,26389098,34265927,43365486,53889420,50055107,40035254,31355322,31355324,40035258,48427641,59747432,50055183,50055182,61534241,51794717,51794716,63580286,76666199,255633784,72827255,86422240,87915348,79320093,79320092,86029707,86029706,72431991,72236909,269339719,29635794,38202579,48113635,48113634,59501633,59051962,47650823,47650825,51794631,41517288,32632165,24963133,268478323,41517283,38398737,29826418,22798655,16581771,11562037,11562036,16581770,22798652,30188316,256981827,60089978,60089971,60089970,72827290,86422231,72827278,72431976,72431977,64973428,64973429,78246853,92273873,90839515,90839516,99326238,85382004,71793217,71793218,85382006,99326239,99833465,85879944,258132779,48167249,38258000,29692591,256401289,48167243,59553790,72287960,258900235,61740031,61740032,52798502,52798501,64712302,61235610,61235611,72288008,59553825,258132781,72287951,59553819,59553820,71793216,59051916,59051915,71793213,85382000,93139275,259005092,135842329,149064918,154843672,142207838,128849934,114949217,100896353,88237929,74607748,74607747,88237928,102235836,116330411,259963036,92728810,78667146,65363123,257799072,33849424,26028628,19351623,13840330,13840331,19351625,26028631,268768635,53359723,65363144,74607773,61815792,50332332,50332334,61815796,74607777,87085080,73467279,73467278,87085078,88237959,88237958,258414872,73488160,87085094,73467291,60719090,49317062,39389248,30786925,30786926,33849419,42894009,53359696,64712312,64712311,77900908,74607851,74607852,88238006,258768774,52514088,42156090,42156089,52514086,64387754,259031327,73488201,61815846,50332368,40306267,31617930,31617931,40306272,50332376,61815837,50332364,40306265,40306266,50332366,61815842,52514076,49335441,49335440,258073355,77900925,77900884,64712276,52798480,52798479,64712274,77900882,77555957,77555956,64387770,64387735,64387736,52514111,42156105,33196643,33196642,42156102,48414421,38508431,29944556,29944555,38508428,48414417,59799427,72534755,77555960,77900871,77900872,64712377,52798590,42398962,42398961,52798587,52798511,42398908,33409766,25642931,25642930,33409764,42398904,40443445,31748868,31748869,28364195,28364196,33409664,33409822,25642961,25642789,25642790,33409595,33409757,25642925,25642926,25642993,33409860,42398981,33409836,25643009,25643010,25642864,19025785,13580225,9298583,9298585,13580229,19025795,25642794,25642795,33409571,25642891,255273147,9298601,6091303,6091304,9298603,13580259,256142623,23723394,23723395,31209641,25642777,25642779,25642965,25642964,33409655,39888286,42398856,257806619,42398849,42398850,33409825,33409824,33409662,31209634,23723391,17399501,12261915,12261914,17399499,23723389,256510663,49908736,42398788,33409656,33409585,25642782,19025744,19025745,25642787,33409592,31209628,31209627,39888288,40443402,40443400,42398923,49908737,42398785,33409653,25642838,25642837,24237737,17862716,17862717,256044387,40443390,40443327,40443328,47695845,37774435,29212473,29212472,37774434,47695844,55685681,256763759,35352823,44777467,47695884,47695883,59094223,59094222,55685702,44777492,35352846,35352845,37774504,44777418,256821239,28124186,20946560,20946559,28124184,36597536,46463917,57819924,46463932,36597537,36597538,42557091,33540687,25751974,19113752,19113751,25751971,33540681,42438188,33445310,25674690,19053146,19053147,25674693,33445315,37774337,47695738,257214701,25630952,25630953,33396931,33396927,25630949,25630948,25646842,25646841,20231855,268091618,9989803,14518025,20231858,27139130,35234258,42402999,42438181,42438180,52784914,52784904,42403024,33413918,33413919,33504178,33413877,25646795,19029267,255677645,25725974,19094592,13632506,9334816,9334818,13632508,19094539,19029237,13582838,13582837,19029233,19094556,255682979,19094622,25726011,29332432,33504064,33413910,25646835,19029304,13582885,9300457,9300458,13582888,19029308,21156144,19094546,13632478,9334795,6114425,3825703,3825702,6114422,9334789,13632468,19094531,25725919,33504088,25726008,25726009,33413835,33413836,269088995,38371335,29798933,22432506,16264902,255472701,29798925,29799049,22432578,22432577,256401741,256401743,48173495,48282540,48282539,59670000,59669907,48282418,38371338,38371339,48282422,48282428,59669913,59560085,269810981,72405316,72405317,59669961,48282484,48282483,59386523,59386522,59669929,48282445,38371367,38371368,48282358,48282357,38371294,38371293,29799072,22432592,16264949,16264950,22432593,29799074,256951915,257388402,29798982,29798983,25438127,18841941,13424228,9178243,6007253,6007252,9178241,13424225,18841934,25438084,18842176,13424371,13424261,13424260,14449599,9940885,6533675,4093850,4093851,6533678,9940892,9178307,9178306,13424353,18842156,25438152,18842114,18842113,25438317,25438102,25438101,18842095,13424321,9178289,6007278,3757121,2250423,2250424,3757123,6007283,9178298,13424336,18841960,25438159,256222879,33183182,33183181,25438236,18842024,18841910,13424212,13424213,18841903,18841904,25438075,25438206,18842012,13424267,9940887,9940886,13921839,19454202,26153102,33183321,256810180,27036822,27036823,25438405,25438406,33183345,25438230,25437998,18841853,18841854,18842020,13424326,13424325,18842103,25438237,33183109,26153113,25438426,18842168,18842075,268296559,20143991,25438178,25438049,18841886,13424199,13424198,18841884,25438046,25438285,25438286,33183411,35123928,33178506,25434861,18839656,18839655,25434859,18841895,13424203,9178230,9178231,13424204,18841897,25438067,33183188,33178473,255519010,25438194,33183315,42142864,42136333,42136332,42142792,33183235,33183234,33183305,25438182,18841981,13424251,13424253,255663151,33183310,42142858,36584415,28111943,20935190,20935191,25438039,25438306,31804064,24289480,17907917,12686715,8617642,8617641,9178226,13424193,18841875,25438029,33183148,32798000,32797999,33183543,33183466,25438351,18842106,18842107,25438352,33183471,33183274,25438148,18841948,18841947,25438145,33183270,42142809,33183257,25438131,25438132,33183258,31435813,23944959,17599977,12422801,12422802,14053417,9663438,9663437,14053415,18842059,18842058,25438283,268240908,40499181,40499182,50534413,43312089,43312088,41716128,32798004,25097541,25097542,31568177,31568178,27234446,27234445,35357111,43312043,34213984,34213983,43312041,52501252,257590790,50453560,269000050,40114353,40114352,41716124,32797995,32797996,41716125,40255762,31568174,31568175,40255764,43312014,34213969,34213970,43312017,50277100,43312079,43312078,53836515,46884224,37005019,28506666,28506665,28497384,28497383,36994888,42142713,40255767,40255768,50277097,46286413,36433387,36433386,40001329,31323412,31323413,40001332,43312055,53836478,43312026,34213976,34213977,43312033,46502625,36635439,36635440,46502630,43312053,43312052,53836500,50277092,48234295,38324368,29754808,22394099,16234061,11285978,11285976,16234057,22394092,21994683,15896278,11019712,7295366,4600980,2768278,2768280,4600991,4652361,4652360,7364896,4700222,2831775,1642934,1642933,2831768,4700209,7438450,11210714,16138314,16844345,16844349,18151272,14478859,14478857,20180296,18306141,12994487,12994488,12023360,8083357,8083356,12023354,14478853,14478842,14478843,17018854,17018853,14478808,11934935,11934936,17018842,23277017,19852468,19852469,20180422,20180423,22282420,255811042,17018852,23277030,22767313,16553462,11537961,7676089,7676088,11537959,16553458,14929733,14929732,17488038,12330390,12330391,9088056,9088058,10321447,6790803,6790804,10321432,14990312,13582756,9300371,6760146,6760147,10284715,6821464,6821465,10357443,10390014,6847715,6847716,10350432,8598044,5586840,3466089,3466088,5586835,8598034,9062227,9058087,5925499,3705164,2219049,1287422,735096,735097,1287431,2219062,3705191,2538127,2538128,4245132,4252920,2542502,1464825,1464824,2219116,3705295,4253108,2542586,1464862,828929,828928,1464859,2542578,4253081,3464746,3464743,4245300,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178779,3178782,5210331,8132527,10300902,10300901,7273237,7273236,10363129,15035416,13302773,13302774,13279563,9063929,9063928,13279561,255197624,32320509 Dl.O(d2) = 269307756,257423832,270284968,84989092,270802406,259449198,59969506,48577800,38661816,30084588,22702747,22702748,30084590,256845142,47290163,58681265,54683716,43941033,257290781,66939983,80365472,259320225,86303603,86303604,100265690,93238995,79122628,65766955,65766954,79122624,93238993,93238991,79122619,78272583,259182752,65766957,65766958,79122629,93238996,93239001,79122634,270588685,107642388,93238965,79122632,79122631,93238967,260348635,128178749,114295725,100265695,86303614,72706597,59969493,48577792,48577790,269824013,67672015,81138020,257933352,53710202,53710203,65766963,53710206,53710207,256766238,34112373,268179300,13984035,13984036,19531078,26248362,27023145,27023146,35109256,44486377,53710201,43198576,34112356,34112355,34112342,268786991,43198567,34112348,34112347,43198565,53710187,65766946,79122616,65766967,65766968,55715347,53710222,43198593,34112370,26248357,19531074,19531073,26248354,34112364,43198583,53710211,53710225,53710192,256239510,34112352,38438975,29880704,29880703,38438972,44808948,55715349,68111711,72669061,65766975,53710215,43198586,43198587,269653068,65766980,79122644,257332962,53710228,59726827,48342420,38438980,29880710,22524943,16351951,16351950,255916253,38438977,48342415,59726821,72462439,86060599,72462436,72462435,72462445,72462443,59726825,256942848,29880706,256413309,48342418,48342413,48342412,59726818,258769159,70328983,70328984,83854088,83854078,83854074,70328966,70328967,59928930,48535472,38620410,30046631,30046629,38620408,256040004,72669022,86269240,95076274,81017536,254612564,86060606,72462442,256040006,93239003,79122636,79122637,258619075,257384497,36441601,27982582,20818475,20818474,256269251,46294518,46294495,257384493,53378464,53378465,65382373,78687036,269006252,107642417,93239008,93239007,107642418,100234475,86269237,83854063,70328954,57638738,46294514,36441595,27982579,27982577,36441594,46294512,57638734,258619073,70328924,57638709,57638708,70328922,70328933,83854048,258910312,125436792,125436793,260149282,258716222,83854059,70328977,258619071,57638713,46294501,46294500,57638712,70328929,70328935,57638718,57638719,70328937,70328959,70328961,73509030,270360113,257384499,27982592,27982591,268901139,268901137,57638756,70328975,70328976,70328994,70328979,57638758,256806359,27982590,20818479,20818478,27982588,36441607,46294527,57638754,57638748,46294524,46294525,257995041,257995045,70328986,57638761,46294528,36441611,27982595,20818483,20818484,27982599,36441616,46294533,57638767,70328996,83854095,97712899,83854100,70329005,57638780,46294539,46294538,57638776,70329000,70328971,57638774,270271061,48535475,48535476,59928935,258619077,257384501,36441612,46294530,269760355,97712896,258619079,70329003,83854096,257909158,70328999,57638775,46294537,36441619,27982604,20818486,20818485,268598073,38620414,30046636,22671321,16475393,11479201,268091311,22671317,16475405,255487287,256427057,257551093,48535487,59928950,53137564,53137563,57638773,46294535,256970205,30046694,22671376,16475437,16475438,22671380,30046700,38620412,30046632,22671328,255106867,7634903,4830150,4830151,7634906,11479208,16475407,22671340,30046645,22671329,22671330,256427055,269343558,16475423,22671361,30046674,38620442,38620444,257551101,59928952,48535489,38620422,30046650,22671331,22671325,16475396,16475397,22671327,256427053,22671346,16475411,11479209,11479210,16475412,22671350,16475432,11479220,7634911,4830153,2910588,1688502,1688501,267832243,7634908,11479212,16475416,22671355,30046664,30046683,30046659,30046658,29768614,29768615,38339738,48250397,48250391,38339735,29768612,255487293,11479227,7634914,7634913,11479225,16475440,22671384,30046661,30046662,30046660,22671352,268411309,16475422,254789705,7634909,11479214,255487289,255928675,268411317,30046710,268645417,30046704,38620460,257551109,59928966,48535500,38620437,30046669,22671357,22671356,30046667,256427065,30046709,268954621,269352463,38620457,38620458,48535527,59928985,72669081,72669058,59928965,48535498,38620435,38620434,30046705,30046706,38620462,48535534,48535496,257551097,72669049,59928960,59928959,72669048,72669087,59928989,59928990,257551099,38620438,38620439,48535504,59928968,59928964,259387611,85966604,99924065,260626765,260626763,260026267,86269294,72669080,72669079,86269292,72669084,59928987,59928986,72669083,86269297,100234540,114266630,260606362,72669052,72371926,256950040,38339734,268946433,72371927,72371934,59637563,59637562,72371932,85966613,99924075,113946978,114266628,260606360,99924060,85966599,260005687,261730841,141188808,141188807,153316328,261750693,128151159,272214808,111633986,111633987,125436788,138765737,138765740,138765738,272214675,113946973,261183161,111633983,97712878,97712879,111633985,259388056,83854042,97712881,111633990,99924071,85966611,85966612,99924073,270854539,86269259,86269265,260026269,128151114,272677044,154173438,162075075,260824912,127826644,113946968,99924066,99924067,113946969,259611994,142618184,140561997,127216154,269984750,85412909,257780500,259022148,127826642,271983388,271816027,125407208,111608409,111608408,125407205,127216153,271530486,149861054,141509966,141509965,154173447,165932436,176578849,260824908,142618185,272870959,261750689,128151127,261750687,165932440,261966104,154173453,141509980,128151140,114266607,261203669,128151136,114266603,100234517,86269282,86269280,260626771,141509970,141509976,128151134,128151133,272863434,100234521,86269284,72669075,258783915,100234519,260069567,86945390,86945391,100928055,114981641,128883553,262300937,261750691,128151130,114266598,114266597,128151129,141509967,142235107,134216788,128883552,128883551,128883550,114981639,114981638,114981630,114981629,114981636,100928052,86945389,86945388,260069565,128883548,142235108,261243779,114981632,100928047,86945387,73334590,60590261,49189965,49189964,60590259,73334594,86945392,100928056,260668825,141509972,154173451,165932443,176578852,166570543,262300941,142235115,142235114,154869304,154869308,166570547,263206739,194216443,186001364,176578858,262264175,261203671,114266611,100234523,258783917,72669076,86269286,100234527,114266615,259244024,115828432,257382918,74206683,61428207,49950823,39933857,31259023,31259024,39933861,49950826,61428209,74206687,87809909,101782267,100234536,100234535,114266627,259862746,260464412,259244028,101782263,87809905,74206684,74206685,87809907,101782265,114266625,114266624,128151154,114266619,114266620,113472237,113472236,113472239,113472238,259244026,272259751,272570347,114266616,114266617,128151152,261043812,259862748,127341569,113472248,99462114,85516306,71928702,63869279,63869280,76980265,90858503,99462102,85516293,71928683,59189132,59189133,59189147,59189146,269802249,59189149,258728749,259631991,76980266,63869282,63869281,59189150,47789032,256372141,21968574,21968573,29295278,256914613,32814844,268735579,32814841,32814842,41735478,52050118,52050123,256619821,18562145,255643717,29295266,37864533,41735474,52050116,256914605,29295272,21968568,255876705,32814846,25111748,18562149,13190515,8992075,254437643,3665726,5870780,8992074,255243611,25111741,32814838,257763461,270314383,59189131,47789014,37864541,37864540,37864535,29295269,21968566,15874906,11003715,11003716,15874907,255876703,37864531,268628787,11003719,255440439,256372143,29295263,21968562,15874902,11003718,7284230,4593672,4593673,254757491,15874917,21968582,257494831,71928717,259972046,74712483,255581488,50429304,50429298,40395951,40395952,256539650,43881593,34610468,26621719,19811606,14190896,9755234,6414215,267816835,449423,449424,267761853,267761863,794223,1396102,2258674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15089205, s2 = 15056742, dlinesl.size( ) = 2 s1 = 15089205, s2 = 15056742, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15089205, Dl.E( ) = 14, 3.7e-05 seconds used appending s1 = 16297459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6621587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6621587, s2 = 14123723, int(edited[s2]) = 0 s1 = 6621587, s2 = 14123723, d1 = 43, d2 = 45 Dl.O(d1) = 256630912,29586219,32388488 Dl.O(d2) = 111697712,125503464,138835291,151537859,163421173,174270792,273705640,205864113,210965513,215134433,218567776,221457771,223934600,226078845,265829809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6621587, s2 = 14123723, dlinesl.size( ) = 2 s1 = 6621587, s2 = 14123723, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6621587, Dl.E( ) = 54, 2.38e-05 seconds used appending s1 = 1178637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15913900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15913900, s2 = 6641218, int(edited[s2]) = 0 s1 = 15913900, s2 = 6641218, d1 = 0, d2 = 0 Dl.O(d1) = 30690358,268971543,49214240,39941585,31266685,269010633,24332180,17943581,12714974,12714976,17943587,22434111,16266368,16266369,22434112,29800409,25765276,19125643,13655646,255279603,25765278,19127785,13657353,9352228,9352227,10484809,10484810,15201181,13616565,13602825,9314462,9314463,13602829,18581536,18581537,13590030,11474537,11474541,11309230,11309229,16266119,22433854,29800223,31367695,40048127,35337568,27213315,20284810,14554883,10015019,10015018,14554881,19106391,19106390,14554990,255341071,14555602,20285661,20285207,14555588,10015412,10015410,12470227,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2747638,2747637,4568316,7245636,9360953,6131511,6131515,9360963,12656717,17866977,12652612,8590535,8590536,12652614,12668283,12668285,17885204,17885203,15927961,11051291,11051290,15927954,17867182,12652758,12652757,17867177,17866406,17866404,24242289,21999163,17644321,17644322,19011086,24250787,17873415,12657090,8681956,8681954,12772743,12652949,8590737,8590740,12652960,17867488,21763641,15707408,10873564,10873565,15707411,21763648,29059074,22431773,21763517,15707317,15707318,15707299,15707298,16265101,11308734,11308735,10452290,10452289,15155905,21099507,17135087,12041868,8095369,8095370,12041872,17135093,12656385,12656384,17872441,24249627,27998606,20834350,255230937,8855635,5771783,3595428,3595429,254632435,13007423,18324186,24813641,32448925,256860986,256860988,28593940,268207026,267882762,4412491,4412490,7017249,6579593,4122341,2466129 Dl.O(d2) = 30690358,268971543,49214240,39941585,31266685,269010633,24332180,17943581,12714974,12714976,17943587,22434111,16266368,16266369,22434112,29800409,25765276,19125643,13655646,255279603,25765278,19127785,13657353,9352228,9352227,10484809,10484810,15201181,13616565,13602825,9314462,9314463,13602829,18581536,18581537,13590030,11474537,11474541,11309230,11309229,16266119,22433854,29800223,31367695,40048127,35337568,27213315,20284810,14554883,10015019,10015018,14554881,19106391,19106390,14554990,255341071,14555602,20285661,20285207,14555588,10015412,10015410,12470227,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2747638,2747637,4568316,7245636,9360953,6131511,6131515,9360963,12656717,17866977,12652612,8590535,8590536,12652614,12668283,12668285,17885204,17885203,15927961,11051291,11051290,15927954,17867182,12652758,12652757,17867177,17866406,17866404,24242289,21999163,17644321,17644322,19011086,24250787,17873415,12657090,8681956,8681954,12772743,12652949,8590737,8590740,12652960,17867488,21763641,15707408,10873564,10873565,15707411,21763648,29059074,22431773,21763517,15707317,15707318,15707299,15707298,16265101,11308734,11308735,10452290,10452289,15155905,21099507,17135087,12041868,8095369,8095370,12041872,17135093,12656385,12656384,17872441,24249627,27998606,20834350,255230937,8855635,5771783,3595428,3595429,254632435,13007423,18324186,24813641,32448925,256860986,256860988,28593940,268207026,267882762,4412491,4412490,7017249,6579593,4122341,2466129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15913900, s2 = 6641218, dlinesl.size( ) = 2 s1 = 15913900, s2 = 6641218, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15913900, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11725644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11725644, s2 = 1289144, int(edited[s2]) = 0 s1 = 11725644, s2 = 1289144, d1 = 1, d2 = 1 Dl.O(d1) = 140868094,127512832,113641220,260583919,140868089,143247998,129916933,116017341,101970795,87996163,74392222,61614691,61614692,61614690,61614689,257739397,32458493,32458494 Dl.O(d2) = 140868094,127512832,113641220,260583919,140868089,143247998,129916933,116017341,101970795,87996163,74392222,61614691,61614692,61614690,61614689,257739397,32458493,32458494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11725644, s2 = 1289144, dlinesl.size( ) = 2 s1 = 11725644, s2 = 1289144, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11725644, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11250686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250686, s2 = 7394193, int(edited[s2]) = 0 s1 = 11250686, s2 = 7394193, d1 = 134, d2 = 174 Dl.O(d1) = 255628977 Dl.O(d2) = 237279173,266572332,237222640,236400481,266199122,274546484,229443036,227782481,225890272,265147968,221216422,218292406,214813192,210586086,205412285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250686, s2 = 7394193, dlinesl.size( ) = 2 s1 = 11250686, s2 = 7394193, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11250686, Dl.E( ) = 188, 6.2e-05 seconds used appending s1 = 6670219, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7975077, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1291786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1634772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1634772, s2 = 11031384, int(edited[s2]) = 0 s1 = 1634772, s2 = 11031384, d1 = 15, d2 = 13 Dl.O(d1) = 41427202 Dl.O(d2) = 27266906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1634772, s2 = 11031384, dlinesl.size( ) = 12 s1 = 9423649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1295152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6682807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682807, s2 = 14078132, int(edited[s2]) = 0 s1 = 6682807, s2 = 14078132, d1 = 89, d2 = 104 Dl.O(d1) = 257291370 Dl.O(d2) = 63656095,76748309,90614594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 1609110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1298264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050042, s2 = 13255322, int(edited[s2]) = 0 s1 = 14050042, s2 = 13255322, d1 = 0, d2 = 6 Dl.O(d1) = 8658198,12740902,17978206 Dl.O(d2) = 32775686,25078320,18535148,18535147,25078318,32775685,41692629,52004808,52004827,41692647,32775696,25078325,21440788,21440789,28691619,37216545,256321618,256724797,43913174,34639767,26648396,26648397,21440777,255033260,34639768,32775701,25078328,18535155,13170015,8977615,8977614,13170011,14209519,14209518,19835079,26648355,26648358,26648357,256724789,43913139,34639729,256724793,43913119,54655788,54655809,54655812,54655813,54655844,54655843,66912665,58305603,46939420,46939419,58305601,71020882,84584993,71020865,58305583,46939392,37060731,28559752,21333621,15360602,15360603,19442507,26138722,28559749,28559750,37060764,46939434,40911013,32133290,32133291,40911016,51052832,52051188,52051189,52232881,46939409,37060748,37060749,46939411,41897297,41897298,41897301,41897312,32959463,32959462,41897311,52232882,63870392,64078411,52232873,52232866,52232865,53119295,53119296,52232886,52232885,52232890,52232889,42667176,33637447,25834547,25834546,33637445,41897291,32959442,32959443,256751802,32959467,256623981,33751133,25943782,25834228,25834227,255613198,32307822,32307823,24776511,24694781,24694780,254884930,18296571,12987167,8841232,5761923,5761922,8841228,12987162,13697828,13697829,19181259,24774708,22771826,16557535,16557536,255230168,24776530,18296601,15392866,10638068,7022713,7022711,10638063,13933507,9564138,9564139,13698155,13698157,18446773,18446774,18446781,24965533,21373806,15392841,14206926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050042, s2 = 13255322, dlinesl.size( ) = 2 s1 = 14050042, s2 = 13255322, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14050042, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 14904871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14904871, s2 = 11058040, int(edited[s2]) = 0 s1 = 14904871, s2 = 11058040, d1 = 62, d2 = 69 Dl.O(d1) = 31755437,40450301,50486557,61978821,258288683,50426291,257522874,38371487,38371448,29799026,22432568,22432569,29799030,38371456,48282383,48282532,48282533,59669993,59669996,59670005,59669985,52501401,48282481,48282482,48282420,48282422,48282428,59669913,59560085,269810981,59747421,48364383,48364384,59747423,52501385,42142948,42142949,48282416,42142832,33183280,33183279,42142831 Dl.O(d2) = 2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4780051,4780052,4780044,4780045,5257753,5257992,5257991,8188473,12157864,12199402,8230150,8230151,12199405,16331849,16331848,17301999,23570564,17259392,12139396,12139395,11363387,254263560,17289964,12168988,12168989,17289967,22503847,16329720,12191299,254584003,5291651,8221637,8008703,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,9502656,6232798,6232799,9502660,13852171,19365889,22506330,21896976,15818463,10962387,10962386,15818460,17289510,12168550,11963809,11363833,7549839,7549838,11359600,16327968,22502239,22499818,16325572,11357825,7546056,7546054,4773967,2877469,2877470,4773973,7548644,11361922,11361923,11365951,11365125,11359121,11359120,16327313,22501573,16334741,16334742,11365369,7550797,7550794,11027107,7301325,7301326,4774884,4774889,7550358,7884359,7884361,11804439,254393462,30552945,37791050,37791051,37298026,33014427,28763530,28760880,28760879,30702638,30702637,30886406,33289067,29764414,22401874,16240023,16240021,18918770,18918769,25528554,33289076,28421885,21199141,15496026,10716474,10716472,15496022,21503716,16427022,11442343,7608852,4813626,4813627,7608856,11442352,16427038,17027844,23286903,30702608,23839048,17499060,17499062,23839052,22611165,16426999,16426998,22611162,29977887,37296795,28763538,21503700,15496008,15496010,21503703,28763542,32028702,32028703,29228844,28763551,28763550,25528570,18918783,13487257,9227638,6043583,6043585,9227643,13487266,18918794,17671771,12496566,11389717,7567022,7567024,11389724,16366441,16426995,16426994,11942935,7993695,5088387,5088386,7993689,11942922,17027857,21504767,15496890,10717167,10717169,10714748,10714747,7993682,7993681,11942904,13487234,18918736,25528509,28764206,28763597,21503738,21503737,28763594,24273442,24273443,31786409,37790968,37296807,37296806,28763985,21504111,15496358,15496359,21504114,28763987,37297164,29228845,28763569,21503724,21503723,28763567,37296827,28764866,21504996,15497106,10717349,7080720,7080721,10717352,15497115,21504701,21504033,15496278,15496279,21504035,15496421,10716786,10716785,15496418,21503813,15496733,255408597,15496324,10716870,7080391,4457813,4457815,7080394,10716879,10717336,10716886,10716887,15495936,21503612,21504337,21504862,15496985,10717252,10717249,15496962,15496853,10717138,7080574,7080575,7080339,255039333,16317180,11352357,11352355,16317177,22490212,21569408,21569405,22490526,16736318,15919216,15919219,22020465,22972542,16736063,11692745,7798431,4945352,2984775,1732902,985180,554580,310318,310319,554582,985185,1732914,1732909,1732908,2984790,4945374,7798481,11692847,16736218,16736531,11693045,7798587,4945428,4945427,7798585,11693040,16280587,21094761,21094760,267825588,23244820,16978344,11891559,7951266,5057126,5057127,7951268,11891565,16978359,21094796,15152345,10449911,10449910,15152342,21094790,28303766,36800585,40065770,40065771,46608299,46684115,42448819,36801132,28304417,21095351,21095352,27087025,29576679,29576680,22229371,16095232,11179204,7417378,7417380,11179206,16095239,16094904,16094905,22228940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14904871, s2 = 11058040, dlinesl.size( ) = 2 s1 = 14904871, s2 = 11058040, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14904871, Dl.E( ) = 78, 4.01e-05 seconds used appending s1 = 1644871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13277991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13277991, s2 = 14040037, int(edited[s2]) = 0 s1 = 13277991, s2 = 14040037, d1 = 8, d2 = 8 Dl.O(d1) = 6249231,9526639,255294811,19407466,26096749,33930144,41768296,32847603,25141467,268736249,18583782,13206175,9002401,5877067,3669653,2196512,2196509,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877690,3669630,3669634,5877705,9003636,13208006,16218883,16218882,22374438,25143476,32850067,256691814,255296276,13655401,13655402,19125342,25764966,33554547,42571567,53011741,64986641,71421069,255717194,37387624,254677460,15552171,10756324,10756323,15552169,17703352,12521808,8483538,8483539,12521811,17703359,22408253,16986950,16244935,11293886,11293887,11293904,7498360,7498361,11293908,16244962,22408336,19836368,16079406,11166703,11166702,16079400,17268421,12147655,8177238,5246714,5246711,8177229,12147642,16716894,11675131,11675132,16716897,22952345,16993506,16993505,17178770,12078663,12078664,17178762,22968250,22968248,30369778,37784508,43914825,38938750,38938751,48858066,58087332,58087331,47296965,37387609,30354564,22952751,16716090,16716091,22952752,30354565 Dl.O(d2) = 6249231,9526639,255294811,19407466,26096749,33930144,41768296,32847603,25141467,268736249,18583782,13206175,9002401,5877067,3669653,2196512,2196509,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877690,3669630,3669634,5877705,9003636,13208006,16218883,16218882,22374438,25143476,32850067,256691814,255296276,13655401,13655402,19125342,25764966,33554547,42571567,53011741,64986641,71421069,255717194,37387624,254677460,15552171,10756324,10756323,15552169,17703352,12521808,8483538,8483539,12521811,17703359,22408253,16986950,16244935,11293886,11293887,11293904,7498360,7498361,11293908,16244962,22408336,19836368,16079406,11166703,11166702,16079400,17268421,12147655,8177238,5246714,5246711,8177229,12147642,16716894,11675131,11675132,16716897,22952345,16993506,16993505,17178770,12078663,12078664,17178762,22968250,22968248,30369778,37784508,43914825,38938750,38938751,48858066,58087332,58087331,47296965,37387609,30354564,22952751,16716090,16716091,22952752,30354565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13277991, s2 = 14040037, dlinesl.size( ) = 2 s1 = 13277991, s2 = 14040037, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13277991, Dl.E( ) = 10, 1.31e-05 seconds used appending s1 = 1646054, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13159805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13159805, s2 = 5469893, int(edited[s2]) = 0 s1 = 13159805, s2 = 5469893, d1 = 0, d2 = 7 Dl.O(d1) = 1282855,1282852,1282735,1282731,1284231,1284228,1734523,986005,986004,1734517,2987569,4949859,7805002,5321997,3270731,3270733,1923727,1099024,1099020,1737757,1282841,1250106,1250110,1282887,1283478,1283474,1281424,1281422,2206579,3686139,254199106,9033220,13243697,18628191,25188501,32898348 Dl.O(d2) = 63959842,63959843,52138100,52138099,63959844,77075131,90959494,269462656,105144670,119341897,133175604,146405033,158773735,170131931,261923636,196984491,203595648,209120242,213653745,217372342,220470545,223103709,225376941,227351774,229078316,265624846,233180487,234285088,235290274,236156344,235233624,235233623,266546503,236997461,237765532,238463687,239101853,239687876,239687877,240230077,240732530,241197942,241546388,241109842,240639373,240131792,239584488,238992661,238349092,237642655,236864876,236009056,235067893,234033365,232898319,231644622,230249685,228680223,226897127,226897126,227480502,225525688,223278545,264808590,209500977,204063562,197546367,262802238,262330400,159570009,147211059,133988547,130258366,116421551,102329026,102329027,105935133,116440505,102347345,88351141,88351142,271366363,60568526,49169573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13159805, s2 = 5469893, dlinesl.size( ) = 2 s1 = 13159805, s2 = 5469893, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13159805, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 8266596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8266596, s2 = 10156964, int(edited[s2]) = 0 s1 = 8266596, s2 = 10156964, d1 = 19, d2 = 16 Dl.O(d1) = 55675358,44765995,44765996,36701577,28210506,21017243,15095119,15095117,21017241,28210502,29699601,28210409,21017171,21017172,28210413,27215694,20287355,14557394,14557392,20287350,21017374,15095190,15095167,10411000,6862742,4307038,4307039,6862744,10411005,15095173,21017074,21017073,15095112,15095114,21017233,28210493,28210401,21017163,21017161,26927924,20042344,20042343,26927922,35009592,28210619,21017332,21017331,28210616,36701687,36701690,46588414,57964849,67605968,55720252,44813698,35389012,35389011,44813694,55720247,59951838,67605974,55264301,44416731,35042344,26962130,26962131,35042346,36563420,36593856,46460085,49925899,49925900,255952874,59478574,59478575,62045843,70517471,57816170,53717548,53717549,59951817,59478620,59478560,59478559,51783270,41508297,41508298,51783275,57964688,46588221,46588220,256289654,47755940,50553211,50553221,40516991,40516993,48559653,59951823,62045851,59478341,59478342,72215585,59478535,256936927,268942693,38176725,38176727,38176794,29610541,22260232,22260233,29610634,38177491,38177455,29610569,29610570,29610091,22259698,16120110,11197919,11197920,16120118,22259711,22259693,16120108,16120109,16120127,22259672,29610052,29610099,22259714,16120124,16120018,11197862,11197863,255083059,7430384,7430383,11198163,16120468,22260121,29610475,22260042,22260041,22260051,16120403,11198117,11198116,11198197,11197969,7430280,7430279,11197967,16120174,11198008,7430301,7430300,11198011,16120231,22259834,29610026,22259650,22259651,22260251,22260250,255898419,16120434,16120435,16120551,22260214,29610617,38177485,38176839,38176838,29610528,29610529,38177194,29610395,22259999,16120365,11198089,7430348,4695311,4695309,7430335,254770993,16120346,22259969,29610366,38177178,48088959,48088924,258126619,48088960,48088947,38177141,29610326,22259920,22259921,29610329,38177147,38176928,38176929,256394895,29610352,38177162,38177495,38177494,29610686,22260269,22260267,29610128,38176927,48088755,48088768,48088769,46870177,46870178,48089154,258126613,48089317,38177518,29610657,22260245,255898431,38177167,48088926,59478515,59478753,72215703,59478538,59478537,59478466,258343110,38177014,38177015,40879211,38177506,38176998,29610177,22259796,22259795,29610174,38176992,38177556,38177500,29610642,29610643,38177505,48088771,38176937,29610131,29610130,38176934,48088765,59478373,59478453,59478452,48089156,38177373,29610498,22260067,16120417,11198133,11198134,16120424,22260079,29610516,38177411,48089221,59478508,59478509,72215704,72215671,59478450,59478449,59478748,48089211,47034953,37145971,37145972,29610491,29610489,38177355,48089137,48089133,257517103,70954935,70954936,72718881,59981602,59981603,257854116,48589782,48589820,38673491,30096126,22714465,22714466,30096117,28092995,28092994,36563136,36991448,46870158,258038819,72718920,70954928,58237860,46870167,46870168,51098559,40956588,32177723,32177722,40956586,51098553,62729725,258471572,75676048,89439391,90185620,259610483,99056910,90185604,90185603,260225942,104338006,118521964,114306733,114306734,118521958,132361819,127646045,113777720,99763586,85809693,76357412,76357411,90185611,104337997,113735418,99720796,85766676,72172349,59433675,59433676,72172351,85766679,259610481,76357398,76357397,90185597,258356435,51602412,41377208,32527722,32527721,41377205,51602407,63326030,76357400,72215617,59478389,59478390,72215619,85809534,72215893,59478810,59478811,72215896,259375069,102160802,88169938,74555051,74555053,88169939,91303656,95075593,81016822,67547194,55203391,44352784,44352783,55203389,60377202,48980330,39057711,39057712,40270504,50291748,61771484,257671267,50291732,61771467,257993704,39057721,39057719,48980347,50291775,61771507,61771475,50291740,50291739,61771473,74555027,76357507,63326120,51602464,41377238,256089557,18385359,18385358,24883919,32527736,39363187,30761977,23339091,23339089,30761974,39363183,49290338,60691672,60691668,60691666,73117309,71223897,58502270,47742932,37820676,29255453,29255452,37820670,47123626,42308921,33328480,28700100,28700099,256322418,47123802,41407018,32548861,32548862,41407020,37225886,28699961,21447877,21447876,28699959,256322402,28699949,21447870,268384561,36563354,256862668,37225908,37225906,37225850,28699957,28699956,37225876,47123599,256747024,58501993,67672530,55333135,55333136,67672533,71223741,71223740,84792374,81138479,67672539,254690630,35110085,35110086,44487153,55333142,67672540,74044449,65352708,256747028,61264566,61264565,72210383,74044534,81138513,67672593,55333181,44487182,35110100,27023886,27023885,35110097,44487175,55333172,55333221,44487223,44487224,42885889,33842410,26022709,19346986,13836804,9490873,9490872,13836802,19346983,26022703,20131979,14438914,14438913,20131977,27023954,35110179,44487278,55333280,67672690,67672684,67672685,64772111,64772112,77966914,91891800,86831625,85136357,85136358,86061104,91891811,91891809,85136351,258081763,269322769,71566277,85136356,99060598,102095712,103981342,257160618,118820342,118132662,105265465,255236434,64017267,64017266,77149045,90476363,103981313,89861980,76067210,76067211,89861982,103981316,104639054,104639051,118819634 Dl.O(d2) = 257748292,133349671,119490488,256607294,118819910,118819915,104639427,90475552,90475551,76617037,76617035,90475564,84615937,84615938,84615908,71051703,71051699,84615893,71051696,63536735,51758270,260232475,268477442,105265407,118819792,104639250,90475355,76616886,257748154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8266596, s2 = 10156964, dlinesl.size( ) = 2 s1 = 8266596, s2 = 10156964, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8266596, Dl.E( ) = 20, 1.41e-05 seconds used appending s1 = 7608351, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1305088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1305088, s2 = 9390274, int(edited[s2]) = 0 s1 = 1305088, s2 = 9390274, d1 = 1, d2 = 11 Dl.O(d1) = 32960941 Dl.O(d2) = 102160584,88169637,74554627,74554628,74554631,258280157,50291240,40269996,40269995,50291237,269871031,58706660,269787911,47317745,37409261,28868101,21593430,268197828,7114118,7114120,10767255,15566868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1305088, s2 = 9390274, dlinesl.size( ) = 2 s1 = 1305088, s2 = 9390274, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1305088, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6507588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6507588, s2 = 14054257, int(edited[s2]) = 0 s1 = 6507588, s2 = 14054257, d1 = 7, d2 = 7 Dl.O(d1) = 255365095,14999094,20903789,28075980,36543847,40465286,31770470,24258249,17880700,12664402,8599906,8599905,12664401,255648163,32971196,257179456,255663628,19398260,13875718,9518927,9518926,7173875,7173874,10851364,15674686,255856511,37550292,29005249,256893286,254229090,7634202,11478044,11425624,11425625,11425635,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526151,7184532,10866641,15685365,21733588,29022878,37569346,47475124,255051918,47480847,37575116,29028204,29028201,37575107,47480843,58852874,47468761,37561792,29015180,29015179,29033437,37580760,47486119,47485073,47485072,58866829,58873175,61540620,61540619,71553847,58852999,58852998,50481775,40445464,40445462,37557414,29011089,21724180,21724179,29011084,29042963,37590386,47494727,48407949,48162638,48162640,40432006,40432007,33153822,25412696,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,20994101,20994098,28175459,36651162,46518183,57873751,70574690,84111065,71578232,71578231,61973543,50480982,40444641,31750006,24238710,17863589,12650205,12650206,17863592,24238714,255200890,21744804,29036629,37584047,29036735,29015043,21727285,15681035,15681034,21727283,29015166,31740221,31740223,40434549,50472008,61966930,58848318,50483212,40446828,31751747,31751748,40439365,50476310,47482373,47482372,58864555,71587670,85154993,73437315,73437316,74770848,61974027,61974026,57870266,57870265,70571941,84108616,74765639,61965696,50470352,48491198,48491199,40437257,40437258,50474349,50472393,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650080,12650396,17863850,24239090,31750518,40440208,31746713,255591330,50477690,40440810,40440811,50475121,40445477,31750760,24239285,24239286,31750763,40445483,50481806,61974128,257099328,47476354,47481444,40446333,31751393,31751391,255591360,48539779,39750460,31737307,31737311,40431477,40430764,31736713,31736711,40430760,47475267,47475268,49322028,39393940,30791404,29020862,21731914,21731916,29020870,37567483,47473685,48427489,38519867,38519865,37575561,255948910,31137087,23649490 Dl.O(d2) = 255365095,14999094,20903789,28075980,36543847,40465286,31770470,24258249,17880700,12664402,8599906,8599905,12664401,255648163,32971196,257179456,255663628,19398260,13875718,9518927,9518926,7173875,7173874,10851364,15674686,255856511,37550292,29005249,256893286,254229090,7634202,11478044,11425624,11425625,11425635,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526151,7184532,10866641,15685365,21733588,29022878,37569346,47475124,255051918,47480847,37575116,29028204,29028201,37575107,47480843,58852874,47468761,37561792,29015180,29015179,29033437,37580760,47486119,47485073,47485072,58866829,58873175,61540620,61540619,71553847,58852999,58852998,50481775,40445464,40445462,37557414,29011089,21724180,21724179,29011084,29042963,37590386,47494727,48407949,48162638,48162640,40432006,40432007,33153822,25412696,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,20994101,20994098,28175459,36651162,46518183,57873751,70574690,84111065,71578232,71578231,61973543,50480982,40444641,31750006,24238710,17863589,12650205,12650206,17863592,24238714,255200890,21744804,29036629,37584047,29036735,29015043,21727285,15681035,15681034,21727283,29015166,31740221,31740223,40434549,50472008,61966930,58848318,50483212,40446828,31751747,31751748,40439365,50476310,47482373,47482372,58864555,71587670,85154993,73437315,73437316,74770848,61974027,61974026,57870266,57870265,70571941,84108616,74765639,61965696,50470352,48491198,48491199,40437257,40437258,50474349,50472393,47469009,37562032,29015384,21727470,15681168,15681173,21727491,29015425,31750468,24239033,17863814,12650370,8589093,8589097,12650387,17863749,24238939,31750354,37561458,31739408,31739410,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650080,12650396,17863850,24239090,31750518,40440208,31746713,255591330,50477690,40440810,40440811,50475121,40445477,31750760,24239285,24239286,31750763,40445483,50481806,61974128,257099328,47476354,47481444,40446333,31751393,31751391,255591360,48539779,39750460,31737307,31737311,40431477,40430764,31736713,31736711,40430760,47475267,47475268,49322028,39393940,30791404,29020862,21731914,21731916,29020870,37567483,47473685,48427489,38519867,38519865,37575561,255948910,31137087,23649490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6507588, s2 = 14054257, dlinesl.size( ) = 2 s1 = 6507588, s2 = 14054257, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6507588, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14054258, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15999209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15999209, s2 = 9471093, int(edited[s2]) = 0 s1 = 15999209, s2 = 9471093, d1 = 0, d2 = 0 Dl.O(d1) = 77306620,256115522,72465266,59729772,59729771,63868464,59729796,48345918,48345917,53845835,48657779,38736609,38736608,48345900,48345901,53003172,52049298,52049297,63868466,63905763,65083345,65083346,78365337,256630436,58209494,58209493,268502438,42563251,33546864,25758070,25758071,33546865,42563253,268502440,50448722,40414401,40414402,50448723,57800507,61693630,50211881,40189951,31504908,24006128,24006127,31504905,33105581,25370611,18786412,18786413,25370613,24006175,24006173,31504994,40190063,31504979,31504980,40190067,50212030,61693763,57800440,52398753,52398752,57800362,46445040,36579816,36579815,46445039,47753484,37831028,37831027,47753483,38041975,29478869,29478868,38041973,47955477,59346727,72080412,61472019,59346616,59346617,72080341,61693764,50212031,40190068,40190069,50212034,55342981,55342984,61693617,72320184,61471826,49994386,268679371,31303305,39978193,49994381,61471802,61471801,59346549,53126806,53126807,44750111,44750112,55658259,68055021,59909016,268609742,39978170,31303289,31303288,39978165,49994349,39978234,31303342,31303345,39978254,37643353,37643352,47549373,47955431,38041946,29478854,29478855,38041953,47955446,39978143,39978142,39978317,39978315,49994547,49994607,49994608,47955473,47955472,59346723,258329704,75692951,62745420,62745421,75692952,76127907,63122362,51425483,41228248,41228249,258049838,46338905,57686052,70378141,74766779,61967530,50472857,50472856,51853713,41566192,41566189,51853712,58701114,47311128,37401703,28860323,28860322,37401690,47311115,47840960,37920371,29352804,22021486,15920252,15920254,22021498,29352816,37920393,40114589,31436096,25388617,18802571,18802574,22361473,16208435,11267254,11267251,16208427,22361458,29717491,29515535,22173953,16049446,16049447,21537221,22173943,22173945,29515525,27189508,255453286,19676109,14105433,14105432,19676108,26411267,34286591,43385650,37958803,29394184,22063789,15959246,11076235,11076171,7344454,7344455,11076173,7344501,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,1618805,2790315,4631784,7331993,11057380,15934862,11076054,11076055,15959042,15959043,15957749,11074961,7343556,7343555,11074958,15957745,15962597,11078839,7346217,7346216,11073146,15955568,22059875,22027901,15942091,11062602,11062601,11063101,15942198,15942196,14917451,255073007,7345578,255073009,22046725,15943701,15943699,22046719,29377254,37942763,47861627,59257841,47865059,37946714,29381890,22051757,22051758,29381892,29381897,22051761,15948423,15948424,22051763,25541838,23740746,23740745,31223971,29369170,22038394,254590060,26662457,29302773,21975436,255066497,7287672,4595742,2764765,2764762,4595736,7287662,11008617,15880550,11008435,7287506,7287505,11008430,14222835,9777708,9777710,7287480,7287479,11008367,7287954,7287955,11009210,15881779,16044349,13491163,13491162,15882251,11009477,7288101,7288102,11009485,7574554,7574555,11399539,16379474,22557478,29625092,29304854,21977230,21977228,29304844,29262378,28453968,21226852,15256529,15256527,21226845,15962457,15962458,16131512,11206053,7435533,7435534,11205375,16130586,21976665,21976667,21425631,15433576,10669563,10669564,14184941,9778571,9778570,7346123,7346124,11078715,15880461,19852227,19852228,21977246,15882319,15882320,15960848,11077477,7345280,7345282,11077486,11009559,11009561,14492434,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424759,9178611,9178610,13424757,11009233,7287968,7287967,11009230,15881824,256372729,32972768,255648311,13286553,13286552,10318473,8595483,5584998,5585002,5584206,5584205,8594377,12658561,254318796,12659708,17876284,256552883,50496280,61988175,74784428,88416048,102416493,259806332,143672536,140707611,127351741,270315182,85525098,71937079,71937078,85525097,99471622,113482222,113482224,127351738,127351739,113482226,99471620,85525096,85525097,99471621,113482227,121777420,107392713,92981919,78869984,65534098,53508918,43029894,43029893,53508915,46416755,36553685,28084809,28084810,27069259,22244182,20174391,254770074,9959251,14474719,10336514,6803870,6803869,10336512,15006519,19237889,13744557 Dl.O(d2) = 77306620,256115522,72465266,59729772,59729771,63868464,59729796,48345918,48345917,53845835,48657779,38736609,38736608,48345900,48345901,53003172,52049298,52049297,63868466,63905763,65083345,65083346,78365337,256630436,58209494,58209493,268502438,42563251,33546864,25758070,25758071,33546865,42563253,268502440,50448722,40414401,40414402,50448723,57800507,61693630,50211881,40189951,31504908,24006128,24006127,31504905,33105581,25370611,18786412,18786413,25370613,24006175,24006173,31504994,40190063,31504979,31504980,40190067,50212030,61693763,57800440,52398753,52398752,57800362,46445040,36579816,36579815,46445039,47753484,37831028,37831027,47753483,38041975,29478869,29478868,38041973,47955477,59346727,72080412,61472019,59346616,59346617,72080341,61693764,50212031,40190068,40190069,50212034,55342981,55342984,61693617,72320184,61471826,49994386,268679371,31303305,39978193,49994381,61471802,61471801,59346549,53126806,53126807,44750111,44750112,55658259,68055021,59909016,268609742,39978170,31303289,31303288,39978165,49994349,39978234,31303342,31303345,39978254,37643353,37643352,47549373,47955431,38041946,29478854,29478855,38041953,47955446,39978143,39978142,39978317,39978315,49994547,49994607,49994608,47955473,47955472,59346723,258329704,75692951,62745420,62745421,75692952,76127907,63122362,51425483,41228248,41228249,258049838,46338905,57686052,70378141,74766779,61967530,50472857,50472856,51853713,41566192,41566189,51853712,58701114,47311128,37401703,28860323,28860322,37401690,47311115,47840960,37920371,29352804,22021486,15920252,15920254,22021498,29352816,37920393,40114589,31436096,25388617,18802571,18802574,22361473,16208435,11267254,11267251,16208427,22361458,29717491,29515535,22173953,16049446,16049447,21537221,22173943,22173945,29515525,27189508,255453286,19676109,14105433,14105432,19676108,26411267,34286591,43385650,37958803,29394184,22063789,15959246,11076235,11076171,7344454,7344455,11076173,7344501,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,1618805,2790315,4631784,7331993,11057380,15934862,11076054,11076055,15959042,15959043,15957749,11074961,7343556,7343555,11074958,15957745,15962597,11078839,7346217,7346216,11073146,15955568,22059875,22027901,15942091,11062602,11062601,11063101,15942198,15942196,14917451,255073007,7345578,255073009,22046725,15943701,15943699,22046719,29377254,37942763,47861627,59257841,47865059,37946714,29381890,22051757,22051758,29381892,29381897,22051761,15948423,15948424,22051763,25541838,23740746,23740745,31223971,29369170,22038394,254590060,26662457,29302773,21975436,255066497,7287672,4595742,2764765,2764762,4595736,7287662,11008617,15880550,11008435,7287506,7287505,11008430,14222835,9777708,9777710,7287480,7287479,11008367,7287954,7287955,11009210,15881779,16044349,13491163,13491162,15882251,11009477,7288101,7288102,11009485,7574554,7574555,11399539,16379474,22557478,29625092,29304854,21977230,21977228,29304844,29262378,28453968,21226852,15256529,15256527,21226845,15962457,15962458,16131512,11206053,7435533,7435534,11205375,16130586,21976665,21976667,21425631,15433576,10669563,10669564,14184941,9778571,9778570,7346123,7346124,11078715,15880461,19852227,19852228,21977246,15882319,15882320,15960848,11077477,7345280,7345282,11077486,11009559,11009561,14492434,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424759,9178611,9178610,13424757,11009233,7287968,7287967,11009230,15881824,256372729,32972768,255648311,13286553,13286552,10318473,8595483,5584998,5585002,5584206,5584205,8594377,12658561,254318796,12659708,17876284,256552883,50496280,61988175,74784428,88416048,102416493,259806332,143672536,140707611,127351741,270315182,85525098,71937079,71937078,85525097,99471622,113482222,113482224,127351738,127351739,113482226,99471620,85525096,85525097,99471621,113482227,121777420,107392713,92981919,78869984,65534098,53508918,43029894,43029893,53508915,46416755,36553685,28084809,28084810,27069259,22244182,20174391,254770074,9959251,14474719,10336514,6803870,6803869,10336512,15006519,19237889,13744557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15999209, s2 = 9471093, dlinesl.size( ) = 2 s1 = 15999209, s2 = 9471093, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15999209, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7991351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15414494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14065635, s2 = 8087178, int(edited[s2]) = 0 s1 = 14065635, s2 = 8087178, d1 = 6, d2 = 6 Dl.O(d1) = 255760570,35361344,256764425,33735301,33735302,42765401,35361339,35361338,35361375,27238562,20308424,20308423,27238560,35361371,44785355,55692684,55693689,44786349,35362233,27239244,20308910,14574528,10028909,10028907,14574525,14574152,10028629,6590909,4129140,2470013,2470015,4129144,6590911,10028636,14574160,20308374,22148141,16029186,11129814,11129817,16029192,22148149,20906328,15001320,10331601,6799757,4264131,4264129,4238166,2569654,2569651,1479503,1479509,254154336,6849778,5933250,5933249,9073036,6791627,6791628,5950788,5950787,5929941,3707837,3707838,5929944,5929966,3707846,3707845,5929963,6839830,4291652,3709179,3709180,2565371,1477216,1477215,2565368,2565720,1477422,1477418,2565769,4291481,6748137,6748138,6748442,10269324,14932486,17876311,15029425,15029424,17881435,17881434,14945791,255359445,28012028,36472414,46327698,40724055,40724056,44491357,44491358,55337232,67676497,81142281,95199009,95199010,86509751,72913306,60176392,257098168,30277220,30277219,38861712,48781916,48781912,47168728,37262863,37262864,37262865,47168731,258686177,72913303,258258955,31329727,31329726,23838261,17498371,17498372,23838263,31329731,33479587,25706125,254925538,10710845,10710844,15488912,17385122,23708366,23910522,18958529,13532527,9262553,9262551,13532522,17165052,255986129,39471170,49399649,60800358,73547512,259468973,115241707,129172832,142549517,146764878,133509289,119637855,105402105,91180337,77261796,64114960,52266074,41927492,41927493,49434514,60836321,257035950,48535411,51648344,41407619,41407620,36609955,36609954,46475965,52266085,63741657,58279542,48535410,46475994,46475959,36609951,36609952,46475961,52266064,41927480,32987164,25263832,18692469,18692470,25263834,25263843,32987180,41927499,52266055,41927476,32987162,32987161,41927475,52266053,64114938,64114955,52266066,41927481,41927483,52266059,41927478,41927477,52266057,64114944,77261785,64114973,64114974,64114940,64114939,52266062,52266061,64114951,256490704,52266081,41927497,41927496,52266079,64114969,77261803,91180347,259472168,119637848,105402128,91180350,91180349,105402122,119637869,133509302,146764890,153658007,153658008,152024260,139315840,125964033,112127840,98166453,84271443,70719732,70719733,84271445,98166458,112127847,261072169,152024307,152431009,139705794,126330891,126330892,261644131,262206597,127213815,259962993,85410932,71822511,71822512,85410934,99354037,113355723,127213827,261689935,261092390,112464629,98474564,258666090,58275528,58275527,70989853,84552763,98474560,270804658,70989855,70989856,84552766,98474569,112464632,259912084,84552904,70989982,58275614,46910590,257431935,70989980,84552897,98474680,112464713,126330967,128288854,114412644,100389567,100389566,114412642,128288851,141639384,154294545,166046245,261760627,260637605,270859479,86434179,259420585,86434177,100389580,114412665,261213849,114412651,114412650,261760625,128288866,114412661,100389578,86434176,72839752,60103152,60103154,72839756,259420587,114412667,114412649,100389570,258796489,60103147,60103148,72839747,72839744,60103145,48707595,38785416,30201062,30201061,30201060,38785415,48707592,258173191,86434161,100389562,114412638,128288846,261760623,262454340,128288841,272573381,141639375,128288840,114412632,100389557,86434158,72839734,60103139,60103138,71822525,85410948,261140651,259903820,98474727,84552923,84552924,98474729,99354046,85410943,71822521,59081413,59081414,71822524,73249422,73249423,85410954,71822529,70990021,58275635,46910601,46910603,58275638,70990025,84552968,98474765,271299850,84552936,258041884,58275623,59081398,71822498,84552938,70990000,70990001,84552939,98474740,86019488,72422350,257533871,38389877,38389875,48300365,58275682,46910628,37033599,28535593,21312840,15342597,10597441,10597442,255395763,11632063,11632058,7749223,4907686,4907687,7749225,11632062,16665706,22895724,22895725,22895726,30294245,22895713,255947935,16665704,22895715,22895714,30294248,38880128,48802379,60199183,71181658,71181659,84750375,71181657,257444617,37186409,37186410,47081644,58459654,71181661,84750378,98677815,87740941,74135258,74135257,74135251,74135250,87740928,101715256,101715258,115761396,115761395,115761404,271855951,87740934,101715261,115761402,115761408,101715265,87740938,87740939,101715266,260705157,142987506,129659186,115761406,115761405,129659183,142987502,155537044,142987508,129659187,129659188,261821449,262747648,171001026,159686029,159686030,263732819,273136618,166030117,166030116,176670766,262747646,171001023,272226780,271352730,106093494,106093495,120294025,134125189,147337716,134125185,134125184,147337714,134125201,259418812,106093503,114395017,128271179,120294029,106093498,91898405,91898406,100371832,86416009,86416010,100371833,114395020,261211974,114395022,100371834,270858976,257562216,52859250,42455311,33462357,33204026,25456919,256128651,42164084,52522387,64396233,77564560,64396248,52522401,42164091,42164090,52522398,64396246,77564569,77564570,91495628,260035732,91495625,77564566,259659263,119955838,260871677,260871679,133823551,261092394,112464636,112464635,114239238,105720072,105720071,119955834,133823550,128126017,272569739,141487303,128125992,114239237,100204917,86236707,72634085,59891950,48497928,269351705,72634090,259406327,86236730,72634101,59891956,256967373,30010862,30010861,38583033,48497930,59891954,72634096,259406329,114239251,128126012,141487310,141487311,141487309,141487307,154152935,154152938,165913982,155458474,142876843,271852065,87663705,87663706,260103775,129558322,142876846,262326349,177600398,176562545,167096818,155458477,142876848,129558329,115672081,115672084,129558336,115672091,115672092,115672078,101631132,101631133,115672080,115672071,115672072,115672096,115672074,101631129,87663709,74059822,61280310,61280311,74059824,87663711,101631135,108672302,258505548,66904935,54648345,54648346,60342375,256724476,39022266,48945396,60342378,73082189,86686365,80331598,256201472,66904944,66904945,66904967,54648375,54648376,66904925,66904926,80331594,94385806,108672300,94385809,80331595,72422326,72422327,86019472,98337865,98337866,86019482,72422338,72422337,256201474,58156966,58156967,70870952,84428276,98337871,108672306,254964436,66904951,54648361,43906009,34633309,26642660 Dl.O(d2) = 255760570,35361344,256764425,33735301,33735302,42765401,35361339,35361338,35361375,27238562,20308424,20308423,27238560,35361371,44785355,55692684,55693689,44786349,35362233,27239244,20308910,14574528,10028909,10028907,14574525,14574152,10028629,6590909,4129140,2470013,2470015,4129144,6590911,10028636,14574160,20308374,22148141,16029186,11129814,11129817,16029192,22148149,20906328,15001320,10331601,6799757,4264131,4264129,4238166,2569654,2569651,1479503,1479509,254154336,6849778,5933250,5933249,9073036,6791627,6791628,5950788,5950787,5929941,3707837,3707838,5929944,5929966,3707846,3707845,5929963,6839830,4291652,3709179,3709180,2565371,1477216,1477215,2565368,2565720,1477422,1477418,2565769,4291481,6748137,6748138,6748442,10269324,14932486,17876311,15029425,15029424,17881435,17881434,14945791,255359445,28012028,36472414,46327698,40724055,40724056,44491357,44491358,55337232,67676497,81142281,95199009,95199010,86509751,72913306,60176392,257098168,30277220,30277219,38861712,48781916,48781912,47168728,37262863,37262864,37262865,47168731,258686177,72913303,258258955,31329727,31329726,23838261,17498371,17498372,23838263,31329731,33479587,25706125,254925538,10710845,10710844,15488912,17385122,23708366,23910522,18958529,13532527,9262553,9262551,13532522,17165052,255986129,39471170,49399649,60800358,73547512,259468973,115241707,129172832,142549517,146764878,133509289,119637855,105402105,91180337,77261796,64114960,52266074,41927492,41927493,49434514,60836321,257035950,48535411,51648344,41407619,41407620,36609955,36609954,46475965,52266085,63741657,58279542,48535410,46475994,46475959,36609951,36609952,46475961,52266064,41927480,32987164,25263832,18692469,18692470,25263834,25263843,32987180,41927499,52266055,41927476,32987162,32987161,41927475,52266053,64114938,64114955,52266066,41927481,41927483,52266059,41927478,41927477,52266057,64114944,77261785,64114973,64114974,64114940,64114939,52266062,52266061,64114951,256490704,52266081,41927497,41927496,52266079,64114969,77261803,91180347,259472168,119637848,105402128,91180350,91180349,105402122,119637869,133509302,146764890,153658007,153658008,152024260,139315840,125964033,112127840,98166453,84271443,70719732,70719733,84271445,98166458,112127847,261072169,152024307,152431009,139705794,126330891,126330892,261644131,262206597,127213815,259962993,85410932,71822511,71822512,85410934,99354037,113355723,127213827,261689935,261092390,112464629,98474564,258666090,58275528,58275527,70989853,84552763,98474560,270804658,70989855,70989856,84552766,98474569,112464632,259912084,84552904,70989982,58275614,46910590,257431935,70989980,84552897,98474680,112464713,126330967,128288854,114412644,100389567,100389566,114412642,128288851,141639384,154294545,166046245,261760627,260637605,270859479,86434179,259420585,86434177,100389580,114412665,261213849,114412651,114412650,261760625,128288866,114412661,100389578,86434176,72839752,60103152,60103154,72839756,259420587,114412667,114412649,100389570,258796489,60103147,60103148,72839747,72839744,60103145,48707595,38785416,30201062,30201061,30201060,38785415,48707592,258173191,86434161,100389562,114412638,128288846,261760623,262454340,128288841,272573381,141639375,128288840,114412632,100389557,86434158,72839734,60103139,60103138,71822525,85410948,261140651,259903820,98474727,84552923,84552924,98474729,99354046,85410943,71822521,59081413,59081414,71822524,73249422,73249423,85410954,71822529,70990021,58275635,46910601,46910603,58275638,70990025,84552968,98474765,271299850,84552936,258041884,58275623,59081398,71822498,84552938,70990000,70990001,84552939,98474740,86019488,72422350,257533871,38389877,38389875,48300365,58275682,46910628,37033599,28535593,21312840,15342597,10597441,10597442,255395763,11632063,11632058,7749223,4907686,4907687,7749225,11632062,16665706,22895724,22895725,22895726,30294245,22895713,255947935,16665704,22895715,22895714,30294248,38880128,48802379,60199183,71181658,71181659,84750375,71181657,257444617,37186409,37186410,47081644,58459654,71181661,84750378,98677815,87740941,74135258,74135257,74135251,74135250,87740928,101715256,101715258,115761396,115761395,115761404,271855951,87740934,101715261,115761402,115761408,101715265,87740938,87740939,101715266,260705157,142987506,129659186,115761406,115761405,129659183,142987502,155537044,142987508,129659187,129659188,261821449,262747648,171001026,159686029,159686030,263732819,273136618,166030117,166030116,176670766,262747646,171001023,272226780,271352730,106093494,106093495,120294025,134125189,147337716,134125185,134125184,147337714,134125201,259418812,106093503,114395017,128271179,120294029,106093498,91898405,91898406,100371832,86416009,86416010,100371833,114395020,261211974,114395022,100371834,270858976,257562216,52859250,42455311,33462357,33204026,25456919,256128651,42164084,52522387,64396233,77564560,64396248,52522401,42164091,42164090,52522398,64396246,77564569,77564570,91495628,260035732,91495625,77564566,259659263,119955838,260871677,260871679,133823551,261092394,112464636,112464635,114239238,105720072,105720071,119955834,133823550,128126017,272569739,141487303,128125992,114239237,100204917,86236707,72634085,59891950,48497928,269351705,72634090,259406327,86236730,72634101,59891956,256967373,30010862,30010861,38583033,48497930,59891954,72634096,259406329,114239251,128126012,141487310,141487311,141487309,141487307,154152935,154152938,165913982,155458474,142876843,271852065,87663705,87663706,260103775,129558322,142876846,262326349,177600398,176562545,167096818,155458477,142876848,129558329,115672081,115672084,129558336,115672091,115672092,115672078,101631132,101631133,115672080,115672071,115672072,115672096,115672074,101631129,87663709,74059822,61280310,61280311,74059824,87663711,101631135,108672302,258505548,66904935,54648345,54648346,60342375,256724476,39022266,48945396,60342378,73082189,86686365,80331598,256201472,66904944,66904945,66904967,54648375,54648376,66904925,66904926,80331594,94385806,108672300,94385809,80331595,72422326,72422327,86019472,98337865,98337866,86019482,72422338,72422337,256201474,58156966,58156967,70870952,84428276,98337871,108672306,254964436,66904951,54648361,43906009,34633309,26642660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14065635, s2 = 8087178, dlinesl.size( ) = 2 s1 = 14065635, s2 = 8087178, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14065635, Dl.E( ) = 8, 1.5e-05 seconds used appending s1 = 14846769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14846769, s2 = 7030144, int(edited[s2]) = 0 s1 = 14846769, s2 = 7030144, d1 = 40, d2 = 15 Dl.O(d1) = 260402712,269638195,44497195,44497196,55343510,268901343,20832078,20832080,27989027,27996619,26625831,26625830,22723801,22723800,27223511,20295122,14563880,14563879,14963131,20865282,20867710,20867711,19107068,19107069,19107112,13642257,9341940,8593613,6119091,6119090,9341917,254112418 Dl.O(d2) = 261609780,94344839,80288618,257395500,268537709,35222250,256198149,26600603,19794434,14178556,14178555,14511636,14511637,20223106,20282886,14553354,254696217,4123620,2466954,2466957,4123626,6581639,10013934,255505743,16682606,12535995,8497677,5499053,3388685,1996391,1996392,1588922,1588921,2741804,1808193,1032745,582032,582033,1032749,1808207,2741746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14846769, s2 = 7030144, dlinesl.size( ) = 14 s1 = 1651270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15625267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13484447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8341736, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15999349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15999349, s2 = 6670880, int(edited[s2]) = 0 s1 = 15999349, s2 = 6670880, d1 = 1, d2 = 1 Dl.O(d1) = 24153676,17786496,12588845,8540856,5538832,3424203,2022939,2022942,3424217,5538856,8540911,8487615,5488619,5488620,5488627,5488628,8487635,10289586,10289584,12232754,17362885,21559794,17786298,12588709,12588712,13438761,9187848,9187850,13438769,18862029,16889000,16889002,16888987,16888983,21135252,17751032,13786876,13786875,19285672,22183618,21559923,15538928,10746670,7100158,7100161,10746685,15538956,15083527,15083524,17386562,17386560,17770392,17812487,12610701,8559443,5556463,5556462,8528912,8528915,12575396,17770126,17388178,12253161,12253160,17388173,17796197,17796198,24163980,24072389,24072390,23765840,17786810,17786808,24071206,17717134,12533686,12533684,11404531,7578484,7578486,11404536,12622135,17703993,17826664,24087643,31591259,40271710,31676987,31676988,38565777,29995399,254188916,254411108,17771341,12601576,12601575,17801834,14210990,9769424,6423277,4029677,2414742,1397782,795411,795415,1397796,2414768,4029731,6423388,9769624,14211295,19837367,24153673,23040507,18759616,13358308,13358309,18759619,24206753,254417236,31616274,31616272,34641928,26650580,26650581,34641929,33020310,25294315,25294316,33019528,33019527,33019552,25293650,25293649,33019550,41962321,52302901,52303284,41962727,41962726,52303281,257163071,32640952,32640951,33019557,25293653,18719585,13325524,9104800,5957493,3725703,2230720,254441123,9104806,9104890,5957550,3725735,2230735,1293689,1293690,2230738,3725740,5957559,5957634,3725790,254441133,9105001,13325850,18719821,13325708,13325684,9104888,5957548,5957547,254914279,18719820,25293938,33019864,41962493,33019715,25293801,18719713,13325600,13325599,18719711,25293797,33019708,257163072,52671534,64154773,64154795,64154793,52303073,41962522,33019732,33019731,41962521,52303060,52303061,64154781,64571463,64571462,77753802,91680558,105887355,91680532,77753766,64571415,64571416,77753767,91680534,269478398,120098940,272378283,147163925,159523733,153396902,140715134,127359004,113489274,99478578,85532123,71944159,71944160,77236827,64092574,52245148,41908049,41908048,42188014,33227703,25479233,18877361,13452384,9199664,9199665,13452388,9199682,6023216,3768154,3768153,6023211,9199676,13452409,255666057,256646063,257791893,268493119,25479275,33227755,257020493,39296589,42187596,33227392,25479022,25479021,30699026,268661289,42188069,33227756,33227757,29670213,255464653,16173974,22319004,256399627,28031642,28031641,30687499,257019537,52546800,64092552,52245131,41908035,32968654,25246512,18675950,13283319 Dl.O(d2) = 24153676,17786496,12588845,8540856,5538832,3424203,2022939,2022942,3424217,5538856,8540911,8487615,5488619,5488620,5488627,5488628,8487635,10289586,10289584,12232754,17362885,21559794,17786298,12588709,12588712,13438761,9187848,9187850,13438769,18862029,16889000,16889002,16888987,16888983,21135252,17751032,13786876,13786875,19285672,22183618,21559923,15538928,10746670,7100158,7100161,10746685,15538956,15083527,15083524,17386562,17386560,17770392,17812487,12610701,8559443,5556463,5556462,8528912,8528915,12575396,17770126,17388178,12253161,12253160,17388173,17796197,17796198,24163980,24072389,24072390,23765840,17786810,17786808,24071206,17717134,12533686,12533684,11404531,7578484,7578486,11404536,12622135,17703993,17826664,24087643,31591259,40271710,31676987,31676988,38565777,29995399,254188916,254411108,17771341,12601576,12601575,17801834,14210990,9769424,6423277,4029677,2414742,1397782,795411,795415,1397796,2414768,4029731,6423388,9769624,14211295,19837367,24153673,23040507,18759616,13358308,13358309,18759619,24206753,254417236,31616274,31616272,34641928,26650580,26650581,34641929,33020310,25294315,25294316,33019528,33019527,33019552,25293650,25293649,33019550,41962321,52302901,52303284,41962727,41962726,52303281,257163071,32640952,32640951,33019557,25293653,18719585,13325524,9104800,5957493,3725703,2230720,254441123,9104806,9104890,5957550,3725735,2230735,1293689,1293690,2230738,3725740,5957559,5957634,3725790,254441133,9105001,13325850,18719821,13325708,13325684,9104888,5957548,5957547,254914279,18719820,25293938,33019864,41962493,33019715,25293801,18719713,13325600,13325599,18719711,25293797,33019708,257163072,52671534,64154773,64154795,64154793,52303073,41962522,33019732,33019731,41962521,52303060,52303061,64154781,64571463,64571462,77753802,91680558,105887355,91680532,77753766,64571415,64571416,77753767,91680534,269478398,120098940,272378283,147163925,159523733,153396902,140715134,127359004,113489274,99478578,85532123,71944159,71944160,77236827,64092574,52245148,41908049,41908048,42188014,33227703,25479233,18877361,13452384,9199664,9199665,13452388,9199682,6023216,3768154,3768153,6023211,9199676,13452409,255666057,256646063,257791893,268493119,25479275,33227755,257020493,39296589,42187596,33227392,25479022,25479021,30699026,268661289,42188069,33227756,33227757,29670213,255464653,16173974,22319004,256399627,28031642,28031641,30687499,257019537,52546800,64092552,52245131,41908035,32968654,25246512,18675950,13283319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15999349, s2 = 6670880, dlinesl.size( ) = 2 s1 = 15999349, s2 = 6670880, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15999349, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 8474886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8474886, s2 = 13718008, int(edited[s2]) = 0 s1 = 8474886, s2 = 13718008, d1 = 47, d2 = 6 Dl.O(d1) = 123702186,137432224,141545422,128188740,114306614,114306615,100277196,86315888,72718722,59981452,48589642,48589643,59981454,72718724,86315891,100277201,105859228,91651285,77723784,77723783,91651284,105859226,107849654,260245599,99754458,99754459,94336215,91651286,77723786,64541892,52642689,257057750,18907355,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187 Dl.O(d2) = 43204002,43204003,53716359,65773766,79129056,93244772,262044963,164187390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8474886, s2 = 13718008, dlinesl.size( ) = 14 s1 = 1654136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14173138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14173138, s2 = 12430517, int(edited[s2]) = 0 s1 = 14173138, s2 = 12430517, d1 = 22, d2 = 79 Dl.O(d1) = 99060997 Dl.O(d2) = 260572705,99470823,85524220,85524221,99470826,113481460,260572709,113481460,261149893,260572705,99470823,99470824,113481459,127351056,127351057,140707056,153388905,263134175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14173138, s2 = 12430517, dlinesl.size( ) = 14 s1 = 8136314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1312583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15405679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13367085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13367085, s2 = 11164160, int(edited[s2]) = 0 s1 = 13367085, s2 = 11164160, d1 = 8, d2 = 46 Dl.O(d1) = 30401179,30401180,30401181,30401182,26367454,26367453,268489145,18793303,13386646,13386645,18793300,25378144,33113377 Dl.O(d2) = 28942158,21663557,15628005,15628004,21663556,21362888,255829047,37103077,37471671,37471672,257465069,257057427,31208886,31208887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13367085, s2 = 11164160, dlinesl.size( ) = 24 s1 = 8153940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8153940, s2 = 10245940, int(edited[s2]) = 0 s1 = 8153940, s2 = 10245940, d1 = 16, d2 = 39 Dl.O(d1) = 268298048,13770164,9439847,6187949,3872508,3745298,2241868,2241869,3745302,5989685,9152395,13388231 Dl.O(d2) = 52407439,64262600,77412283,91330847,105548552,119781737,261432165,133651660,133651661,146904865,262467375,180738528,189633057,263716168,180738492,180738491,189633043,264053727,209343214,213831186,209343235,209343233,264626865,209343134,203872290,203872291,264053724,189633074,180738514,170609927,159275225,146904861,146904860,159275223,170609922,180738505,180738534,180738535,189633098,189633034,180738488,262467370,261968144,133651660,133651661,146904866,262467377,180738538,189633107,197317942,203872242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8153940, s2 = 10245940, dlinesl.size( ) = 36 s1 = 1586254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7844230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1226503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14899524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14899524, s2 = 16349370, int(edited[s2]) = 0 s1 = 14899524, s2 = 16349370, d1 = 5, d2 = 29 Dl.O(d1) = 25645411 Dl.O(d2) = 254815876,30445103,23037535,23037536,30445105,39034562,38537407,38537406,46791032,36913434,36913435,46791037,48956677,60353151,73092778,84900302,71327014,58593809,47202728,37294699,28760842,21501231,15494014,15494013,15493665,10714471,7078672,7078671,10714730,15494016,21501234,28760843,29417258,37980161,256881606,270316763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14899524, s2 = 16349370, dlinesl.size( ) = 2 s1 = 14899524, s2 = 16349370, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14899524, Dl.E( ) = 38, 1.69e-05 seconds used appending s1 = 11071614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071614, s2 = 14504792, int(edited[s2]) = 0 s1 = 11071614, s2 = 14504792, d1 = 7, d2 = 15 Dl.O(d1) = 269080029,42136271 Dl.O(d2) = 26127886,33966285,43016906,33959802,26122219,19428138,19428139,26122222,33959808,43016915,53495263,268301296,43023357,47401341,38109848,38109847,48019985,256142888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071614, s2 = 14504792, dlinesl.size( ) = 2 s1 = 11071614, s2 = 14504792, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11071614, Dl.E( ) = 26, 1.5e-05 seconds used appending s1 = 14663657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14920397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14920397, s2 = 11411896, int(edited[s2]) = 0 s1 = 14920397, s2 = 11411896, d1 = 47, d2 = 51 Dl.O(d1) = 58551446,65348847,269539134,256684894,15558008,15558007,15560157,10762706,269196036,15558291,15559750,10762432,10762433,15559756,15559007,10761931,10761930,15559005,21583213,28856094,28855950,28855948,37396803,33470462,33470461,40574516,39779230,31100734,23616701,23616702,31100736,39779232,49798915,256644926,38001446,36937835,36937836,46816163,47306331,39330197,30731857,23313105,17050356,11961348,11961350,17050362,21584700,15560143,15560142,21584692,28857899,37398849,39779181,31100689,23616672,17303371,15994210,11103127,11103124,15994200,22105080,29438102,37396545,29438364,29438363,38001373,47917107,47917109,47917136,38001288,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438016,29437910,22104958,15994141,15994143,22104968,23617353,23618460,23618459,23616875,23616874,28855758,31100894,31102032,31102034,23617775,23617777,31102234,31100390,23616498,23616495,31100380,31100441,23616521,23616519,31100433,39778880,39778893,31100675,23616659,23616658,31100669,39779161,31100821,23616767,23616765,31100817,39779330,47916740,47916738,39780671,31102144,31102145,39780674,48261567,39779120,31100643,31100644,39779126,39779130,39779304,47916761,49798698,61277997,74058086,61278197,49799155,47916913,38001020,29438041,29438042,31102119,23617699,23617698,31102116,39780643,44436007,47916836,47916835,49799808,61278451,268636132,61278145,256478536,49798262,49798261,59648597,49798403,49798371,39778560,31101164,31101162,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856131,31100875,23616799,17303439,17303438,255998537,39779399,257790263,42166698,39779998,39779999,49799536,46664635,36779326,36779327,46664639,42162628,33208235,25460467,18860450,13437678,13437679,13437503,9187091,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187138,13437599,18860335,25460332,25455678,18856750,15140408,15140407,255806953,25455825,25455824,33202721,255997224,33196921,25450747,18852627,18852628,25450748,33196923,27100310,20200693,14494771,14494770,20200690,27100307,35189093,42162720,268492657,9185653,6011977,3760101,2252491,1307233,746312,746313,1307237,2252500,3760141,6012089,255664559 Dl.O(d2) = 225482249,223230419,220626637,265294381,265641117,223301070,220703359,264881886,189954728,262946299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14920397, s2 = 11411896, dlinesl.size( ) = 32 s1 = 1664800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6786924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14170636, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13414425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1668085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1668085, s2 = 9401195, int(edited[s2]) = 0 s1 = 1668085, s2 = 9401195, d1 = 6, d2 = 13 Dl.O(d1) = 42282786 Dl.O(d2) = 11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,19235868,13743515,13743514,19236514,25895145,19235241,13742596,13742595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1668085, s2 = 9401195, dlinesl.size( ) = 2 s1 = 1668085, s2 = 9401195, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1668085, Dl.E( ) = 18, 9.78e-06 seconds used appending s1 = 8103591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 368463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14498630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1326335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16236103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13498479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062913, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6544890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7568669, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9669667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8051014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14502378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11082044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14503917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1682835, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7835751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7835751, s2 = 2747178, int(edited[s2]) = 0 s1 = 7835751, s2 = 2747178, d1 = 14, d2 = 34 Dl.O(d1) = 9376677,6142566,3843429 Dl.O(d2) = 30173198,38755899,257561125,72810827,72810822,60073497,48677413,48677412,48677416,48677415,60073500,72810825,60073498,48677414,257561125,72810827,72810822,60073497,48677413,38755898,38755897,48677411,257862783,72810820,60073496,48677416,48677415,60073500,72810830,72810822,60073497,258152742,48677417,38755901,256420712,34263688,34263689,43363538,53887573,65954304,79318150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7835751, s2 = 2747178, dlinesl.size( ) = 2 s1 = 7835751, s2 = 2747178, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7835751, Dl.E( ) = 36, 1.72e-05 seconds used appending s1 = 11170620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14904999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14904999, s2 = 7292305, int(edited[s2]) = 0 s1 = 14904999, s2 = 7292305, d1 = 48, d2 = 43 Dl.O(d1) = 22911666,24502880,18074686,12813947,8712280,5671317,3527652,2099502,2099503,3527654,5671323,8712292,5839268,5839270,8944212,5838599,3643804,2178267,1262353,719179,406774,406775,406800,719225,1262451,2178477,3644244,3643939,2178333,2178335,2178535,1262479,1262480,2178539,3644350,5839573,8945911,13125343,18474752,18472226,13123471,8944714,5838879,5838880,8944716,13123473,18472229,19540563,19540562,26259757,34125489,43213002,53724915,65781481,79136124,93251398,91647008,77719717,64538076,53212782,42762916,42762917,53212780,42762913,33732989,25926034,19264207,13768789,9438487,9152483,9152484,6180519,3867584,2316702,1343573,1343575 Dl.O(d2) = 265055188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14904999, s2 = 7292305, dlinesl.size( ) = 2 s1 = 14904999, s2 = 7292305, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14904999, Dl.E( ) = 64, 2e-05 seconds used appending s1 = 7594828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7594828, s2 = 14143187, int(edited[s2]) = 0 s1 = 7594828, s2 = 14143187, d1 = 7, d2 = 4 Dl.O(d1) = 268760328 Dl.O(d2) = 209729551,274152185,265110331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7594828, s2 = 14143187, dlinesl.size( ) = 2 s1 = 7594828, s2 = 14143187, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7594828, Dl.E( ) = 36, 1.41e-05 seconds used appending s1 = 8209294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8209294, s2 = 13368357, int(edited[s2]) = 0 s1 = 8209294, s2 = 13368357, d1 = 20, d2 = 27 Dl.O(d1) = 254666011,6196851,9451820,6310578,6310579,9451819,6196667,3878370,2322664,1346667,254208945,3878372,3878392,2322674,2322673,3878390,267936629,9451853,13785594,19283750,25947604,33755225 Dl.O(d2) = 64401,64404,64834,64836,118545,216119,389653,695050,1228063,2128062,3570205,5733849,8802530,12938956,18240951,12938952,12938953,18240952,24713184,32328391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8209294, s2 = 13368357, dlinesl.size( ) = 2 s1 = 8209294, s2 = 13368357, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8209294, Dl.E( ) = 28, 4.82e-05 seconds used appending s1 = 11170202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14556836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14556836, s2 = 1691268, int(edited[s2]) = 0 s1 = 14556836, s2 = 1691268, d1 = 12, d2 = 9 Dl.O(d1) = 61887482,61887483,61887485,50397099,40361968,31667488,24158146,17790915,12592241,8543428,5541184,5541181,8543417,8543384,8543386,9481239,13824611,14060561,14060563,17834665,12954198,12954196,9345986,9345983,13648492,17790861,17790865,19320894,13815648,13815649,19320895,25991891 Dl.O(d2) = 42848860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14556836, s2 = 1691268, dlinesl.size( ) = 2 s1 = 14556836, s2 = 1691268, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14556836, Dl.E( ) = 14, 2.1e-05 seconds used appending s1 = 11051760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16217235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16217235, s2 = 15284966, int(edited[s2]) = 0 s1 = 16217235, s2 = 15284966, d1 = 48, d2 = 62 Dl.O(d1) = 268451634,128568115,128568114,114673393,100630301,86658737,86658738,100630303,255598084,254879226,73054169,86658738,100630302,114673395,128568116,141927333,154571611,166294138,176895919,171829756,160639866,148374737 Dl.O(d2) = 160639854,148374734,262020103,171829753,262514924,148374727,260922066,121354762,261487477,262020098,135205622,135205621,260922073,92718185,78655570,65352248,53349881,42885478,42885479,53349882,65352249,78655572,260327325,135205612,261930797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16217235, s2 = 15284966, dlinesl.size( ) = 2 s1 = 16217235, s2 = 15284966, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16217235, Dl.E( ) = 66, 1.91e-05 seconds used appending s1 = 6679172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6679172, s2 = 6455424, int(edited[s2]) = 0 s1 = 6679172, s2 = 6455424, d1 = 7, d2 = 11 Dl.O(d1) = 257243745 Dl.O(d2) = 255700001,9493300,6226023,254307391,1352887,771693,438362,247333,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441960,779067,1349014,1358340,1358342,2344977,3917518,254670711,13900068,19427164,26120970,33958284,43015106,53493398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6679172, s2 = 6455424, dlinesl.size( ) = 2 s1 = 6679172, s2 = 6455424, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6679172, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6675668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6675668, s2 = 11665844, int(edited[s2]) = 0 s1 = 6675668, s2 = 11665844, d1 = 81, d2 = 57 Dl.O(d1) = 257208867,33922800,255702365,13877151,9519945,6243733,3908492,2340377,2340376,2340379,1356242,773427,439242,439243,773433,1356255,1383689,1383693 Dl.O(d2) = 262311940,191719845,199120233,199120231,273150720,183113263,191719844,199120229,191719846,191719845,199120233,199120231,273150720,183113263,191719844,199120229,191719846,191719845,199120232,193246195,193246194,199120229,191719846,191719845,199120233,199120231,199120230,193246192,193246193,200405130,263501642,184905882,175354884,164593054,152758245,140068433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6675668, s2 = 11665844, dlinesl.size( ) = 24 s1 = 11076236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14071649, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16170177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16170177, s2 = 11402020, int(edited[s2]) = 0 s1 = 16170177, s2 = 11402020, d1 = 103, d2 = 76 Dl.O(d1) = 2913898,2913899,4835908,7644081,11493226,255930745 Dl.O(d2) = 260359053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16170177, s2 = 11402020, dlinesl.size( ) = 30 s1 = 14908819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14908819, s2 = 11960791, int(edited[s2]) = 0 s1 = 14908819, s2 = 11960791, d1 = 11, d2 = 8 Dl.O(d1) = 121783460,259918862,78877184,65542150,53518230,43039943,33982443,255829386,255032196,256174479,19445871,255337736,33982767,30077420,22696407,21037131,21037132,28234693,36728753,46616533,256230766,256756356,98154429,112113871,125947821,139297196,152004347,163872789,174690670,184313381,185603356,176141167,165461403,153682076,141015899,127667701,113799532,99785569,85832617,72240600,59505887,258128639,38207501,29640920,22289345,18388883,18388884,24888426,32533118,32557216,41416156,257524140,59997037,72734233,86331929,100294211,114324791,128207959 Dl.O(d2) = 154225412,165981961,165981964,176625131,176625130,186042803,194252653,201285210,274104925,206334598,200274260,263101746,175162036,164371862,152507032,261658502,263494547,200274262,206334602,211345630,215441239,218826210,265364215,226269582,265844175,231192387,232486984,233657644,234722707,235693417,274746921,266656259,236211995,266375443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14908819, s2 = 11960791, dlinesl.size( ) = 8 s1 = 6454328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8156058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14869065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14869065, s2 = 15249421, int(edited[s2]) = 0 s1 = 14869065, s2 = 15249421, d1 = 17, d2 = 22 Dl.O(d1) = 37030327,30843185,23413301,23413300,23413414,17137935,12044140,12044139,17137933,255535971,17137933,23413410,23413336,17137867,17137868,23413338,30843210,30842985,23413340,17137871,17137872,23413020,17137603,267882008,5187163,5187160,8096773,12043904,17137594,23413010,23413093,255984079,39447359,39447544,49375979,49375980,60567897,49168828,49168827,49376063,49376062,60777529,73525711,73525650,60777446,49375941,46608568,255845314,30250686,30250685,38834337,48173602,38264093,29698232,29698233,254504726,15550698,10755232,254227126,16195290,16195291,22344502 Dl.O(d2) = 5611075,5611076,8629025,8793871,5728096,3566428,2125617,2125615,3566421,5728082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14869065, s2 = 15249421, dlinesl.size( ) = 2 s1 = 14869065, s2 = 15249421, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14869065, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 14881047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14881047, s2 = 15589619, int(edited[s2]) = 0 s1 = 14881047, s2 = 15589619, d1 = 57, d2 = 61 Dl.O(d1) = 43865854,34595022,26607736,19800269,14182737,10041587,6599073,4134267,2473144,1429624,1429623,2473141,4134262,6599064,10041569,14593189,10041567,10041566,14593187,14593191,14593190,20334113,27269824,24571532,24571533,25925257,24120302 Dl.O(d2) = 99028760,85104398,71533263,58804241,256325500,15644661,15644660,15433893,10669808,10669809,15433897,15378726,15378727,21355854,28586559,37092645,30809376,28647778,21405812,15418194,10658129,10658128,10827355,7156558,7156561,10827359,15644665,255213764,18991437,13552092,13552093,18991440,25603852,33368513,37139939,37139938,28673805,255606640,42171230,52529176,48105319,38193692,38193691,47028188,47028187,58399995,257439394,41178027,51364123,47091887,37196149,268919915,47091890,49344229,39414583,39414584,33691427,25884794,25884795,33691429,42721499,42721506,37164336,28647783,21405814,21405813,28647780,255403336,52529196,42171246,33211646,25464090,25464091,25464079,18863916,13440927,9190410,254444889,3763211,6016067,9190414,13440933,18863926,25464092,33211649,25464130,18863949,13440950,9190422,6016073,3763213,3763212,6016070,9190416,13440937,269802926,49136592,39209739,256160200,60536662,52767906,50507341,49136620,39209762,30613491,30613490,39209759,49136618,60536687,53819453,43294448,39209355,30613169,23193248,16926071,11846378,7917619,7917618,11846374,16926063,23193205,23193204,30613121,39209296,30613326,30613327,30613214,30613215,30613106,23193194,23193195,30613107,39209289,49136124,49136619,60535571,49136266,39209454,30613255,30613254,39209450,39209330,30613151,30613152,39209335,30613189,23193257,16926076,16926075,23193255,30613186,39209376,30613497,23193471,23193469,30613191,39209380,30613270,30613271,39209325,39209324,39209293,30613118,23193202,16926036,11846358,11846359,16926039,16926180,255968059,268659219,30613155,23193236,16926058,11846370,11846371,16926045,11846363,7917614,7917615,11846368,16926050,16926114,11846405,7917637,5033729,5033728,7917632,11846398,16926102,23193289,23193336,16926144,11846424,11846425,16926148,23193340,23193501,23193502,23193296,16926105,16926106,255968039,23193666,16926381,11846591,7917742,7917743,11846593,16926384,23193521,23193519,30613550,256469101,30613138,23193226,23193228,30613140,30613198,30613637,30613280,30613279,39209447,30613248,23193309,23193308,255968045,23193321,23193593,23193592,16926318,11846536,7917716,5033770,5033771,7917719,11846544,11846594,254815337,7917675,11846431,7917653,7917654,7917754,5033798,3047779,1775528,1012316,570635,319639,319638,267753705,1775511,3047747,254561049,11846465,16926202,255522279,16926196,23193416,30613409,39209658,49136492,60536434,50911347,50911348,62511752,73344578,60599440,49198707,49198709,60599445,73344583,73280728,73280672,73280670,73280680,60536431,49136360,49136358,60536426,49136384,49136382,49136375,39209568,30613357,23193390,16926185,11846459,11846460,16926190,23193398,30613369,39209590,257435280,49136469,49136470,60536554,60599447,60536613,60536612,73280852,86891778,73280747,60536569,60536418,49136353,49136354,60536420,49136364,39209560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14881047, s2 = 15589619, dlinesl.size( ) = 2 s1 = 14881047, s2 = 15589619, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14881047, Dl.E( ) = 82, 4.01e-05 seconds used appending s1 = 724097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 724097, s2 = 2192339, int(edited[s2]) = 0 s1 = 724097, s2 = 2192339, d1 = 73, d2 = 34 Dl.O(d1) = 18505234,25039296,257126615 Dl.O(d2) = 185471987,175997738,165302819,153507860,140827371,127467305,113591352,113591351,99574735,85623961,72035405,59299233,47904643,37989044,35067408,26984148,26984147,32181114,24594325,24594324,32181112,40960069,51102030,62733041,64316387,52448545,52448546,64316383,77480636,91411583,105637543,119876200,133746246,146996303,262470283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 724097, s2 = 2192339, dlinesl.size( ) = 2 s1 = 724097, s2 = 2192339, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 724097, Dl.E( ) = 94, 2.79e-05 seconds used appending s1 = 13174235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13174235, s2 = 1716785, int(edited[s2]) = 0 s1 = 13174235, s2 = 1716785, d1 = 1, d2 = 1 Dl.O(d1) = 94377734,80322374,66894406,54636960,43894024,34622237,30211340,22819391,16599903,11577281,11577282,14085079,9692500,6375074,6375073,9692495,14092001,19659819,22017661,15916103,15916105,18535870,20168467,14470073,10725754,7086570,7086571,5774455,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739525,11621132,254548644,26389437,34266217,43365770,43956176,34681031,26686832,26595001,26595002,19875275,14244732,9792224,9792227,14227031,9780385,6430405,4034185,4034184,4038513,6438073,9780434 Dl.O(d2) = 94377734,80322374,66894406,54636960,43894024,34622237,30211340,22819391,16599903,11577281,11577282,14085079,9692500,6375074,6375073,9692495,14092001,19659819,22017661,15916103,15916105,18535870,20168467,14470073,10725754,7086570,7086571,5774455,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739525,11621132,254548644,26389437,34266217,43365770,43956176,34681031,26686832,26595001,26595002,19875275,14244732,9792224,9792227,14227031,9780385,6430405,4034185,4034184,4038513,6438073,9780434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13174235, s2 = 1716785, dlinesl.size( ) = 2 s1 = 13174235, s2 = 1716785, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13174235, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 1360437, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3853277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6842629, s2 = 8177330, int(edited[s2]) = 0 s1 = 6842629, s2 = 8177330, d1 = 121, d2 = 119 Dl.O(d1) = 259113321,269579211 Dl.O(d2) = 37082229,257436535,256856758,28577960,28577959,37082224,28577970,21348826,21348825,28577968,37082221,46963215,268715759,256321970,28577933,21348790,15373085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6842629, s2 = 8177330, dlinesl.size( ) = 44 s1 = 8325829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14241567, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14332401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16335175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079250, s2 = 6737666, int(edited[s2]) = 0 s1 = 14079250, s2 = 6737666, d1 = 0, d2 = 13 Dl.O(d1) = 14186462 Dl.O(d2) = 257896105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079250, s2 = 6737666, dlinesl.size( ) = 2 s1 = 14079250, s2 = 6737666, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14079250, Dl.E( ) = 24, 3e-05 seconds used appending s1 = 565561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1715135, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6538736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1368996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1368996, s2 = 4043242, int(edited[s2]) = 0 s1 = 1368996, s2 = 4043242, d1 = 0, d2 = 20 Dl.O(d1) = 34674796 Dl.O(d2) = 149961409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1368996, s2 = 4043242, dlinesl.size( ) = 28 s1 = 9705473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9705473, s2 = 16279800, int(edited[s2]) = 0 s1 = 9705473, s2 = 16279800, d1 = 19, d2 = 23 Dl.O(d1) = 98702699,112698611,126562627,139926571,152633263,139926569,126562626,126562628,139926572,152633266,164484609,175261338,173266790,162172385,149965676,136833120,260381883,94444612,80385882,66956380,54697536,43953670,34678933,34678934,43953672,52292679,52292680,64144907,57691031,255247390,36486370,36507170,31061314,31061301,23577764,23577765,31061302,39739099,49757650,61236624,74017276,87621529,101588685,115629036,129513968,142830836,155411887,167051732,177558076,186846593,194940872,201868707,207698696,212506770,216438177,264773258,224814737,226866995,228656061 Dl.O(d2) = 267223344,244304244,244514659,244711106,244894665,245067436,245067437,245229408,245381217,245524121,245658216,245783096,245900123,246010243,267483058,246211290,267519470,246473560,246552074,246552076,246626439,246552080,246552079,246552077,246473562,246391134,246391135,246473558,275035106,246211289,246211290,246303900,246391135,246473564,246552078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9705473, s2 = 16279800, dlinesl.size( ) = 2 s1 = 9705473, s2 = 16279800, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9705473, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 1369562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1369562, s2 = 7816826, int(edited[s2]) = 0 s1 = 1369562, s2 = 7816826, d1 = 1, d2 = 28 Dl.O(d1) = 34683142 Dl.O(d2) = 257765724,37308486,31276077,23790358,17458938,17458937,23790355,268678665,268623310,22095313,29426082,29255371,21934374,15846695,15846696,19671650,26406047,21590915,15986400,11097955,11097954,11097948,7360038,7360039,11097977,10912236,10912233,15756709,21823781,21780201,15721390,15721388,16187723,22335177,18240118,18240119,15987092,11098363,11098365,7360256,4649285,4649284,7360253,254748774,22095284,29426047,37303150,29080394,21782517,21782518,254686792,29078455,21780488,21780489,29078457,25897446,19237130,19237131,267862242,10912020,7216765,4547124,4547126,7216776,10912053,15755772,10911657,7216590,7216591,10911664,10887936,7199884,7199886,10886678,7198820,7198818,10886689,15723345,21605011,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,15758092,16034224,22154642,23932561,29577547,29577545,31422242,26954699,20070397,20070396,26954695,35018509,35018505,35019273,28019313,28019312,32326940,32326939,35018643,35007668,35007669,29425731,29077793,26925707,20040389,20040387,20041034,14356237,9864181,6479587,6479586,9864175,14356227,20041012,14359654,9867095,9867093,9280564,9280565,13555752,13555722,9280549,6079203,6079204,9280552,9884835,14378838,14395955,14395954,20045363,15324883,14378815,14378816,20062984,26947919,29132771,26933622,20047302,14361394,14361395,20047304,26933625,26933685,20047353,254687420,9884097,9884095,7627159,7627161,8356463,8356465,11133578,11133582,10884306,10584616,6982377,6982375,10584587,267870828,21290350,27006116,27006117,21778413,21778412,29076323,35092047,254685656,30440044,23033234,23033235,29493520,31694989,28510114,21290097,21290098,28510116,32852747,29086395,21788978,15730781,15730780,21788975,29086389,29493610,22154627,22154624,24712088,24712090,32327334,26900174,26899989,26899990,21824311,15757086,10912461,7216999,7217000,10912467,11179531,11179530,15758067,10913126,10913125,15757230,21824467,23479763,17196830,12092442,12092439,17196819,23479744,24004775,24712717,24712718,28862441,26932915,20046714,17045996,11958216,8005091,8005090,11958212,17045987,23307288,23861160,20051327,14365961,14365960,20051323,26937143,31503543,24004867,255326300,20017622,14336712,9848928,9848930,14336719,20017631,25608124,21824661,21824659,254971690,20063015,14378833,9884834,9884835,14378838,14395955,14395954,20045363,15324883,14378815,9884820,6494721,6494720,7090824,10731928,12415671,15975327,14361169,9868080,6482333,4062001,2431039,2431044,4061990,2432116,1406747,1406745,2432094,4063987,6485584,9867586,8093985,8093986,12039680,15210513,17128376,12037434,12037433,11252129,11252128,7989447,7989448,11937715,17022360,23281295,23861236,29481974,30696670,23281271,20051940,14366378,9872779,9872781,14366384,20051952,26937870,35018955,44394419,35018426,35018427,30886327,23454317,20060974,14385484,9891006,9891007,9872971,6485849,6485847,7627143,7627140,8356462,8356465,11133578,11133582,10884306,10584616,6982377,4387146,4387149,6982358,10584571,15324853,14377807,14377812,15322070,21286250,28505116,37002957,36987958,28491045,21274547,15313099,15313100,20064774,26949649,28604481,21370632,21370631,16034701,11133573,7384919,7384921,7627086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1369562, s2 = 7816826, dlinesl.size( ) = 30 s1 = 6719828, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16202944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16202944, s2 = 9706229, int(edited[s2]) = 0 s1 = 16202944, s2 = 9706229, d1 = 0, d2 = 21 Dl.O(d1) = 17731695,17731694,24089180,268685757 Dl.O(d2) = 195038837,201956431,264557091,212572633,207775433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16202944, s2 = 9706229, dlinesl.size( ) = 2 s1 = 16202944, s2 = 9706229, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16202944, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 890422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 890422, s2 = 3682861, int(edited[s2]) = 0 s1 = 890422, s2 = 3682861, d1 = 21, d2 = 16 Dl.O(d1) = 22706638,30088566,256738547 Dl.O(d2) = 127552882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 890422, s2 = 3682861, dlinesl.size( ) = 12 s1 = 11186644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186644, s2 = 8860209, int(edited[s2]) = 0 s1 = 11186644, s2 = 8860209, d1 = 31, d2 = 44 Dl.O(d1) = 55440821,44590947,35210546,27118648,20215770,14506356,14506357,20215766,27118641,35210536,42378191,35210538,35210537,44590946,52777184,256336788,33389796,42378296,52777188,64691256,77881076,67784032,67784031,64691166,52777077,256296126,19009528,13567217,9289118,9289121,256658001,52777086,64691171,70767136,58048559,46673731,46673730,42378230,33389744,33389743,42378228,52777116,52777268,42378361,33389844,33389845,42378190,33389737,25624154,19009537,13567228,13567227,19009534,25624147,19235572,19235573,25895535,33701633,42731421,42378366,42378367,52777278,64691133,52777049,42378183,42378182,38880078,30294173,22895658,16665654,11632032,7749209,7749208,11632026,16665650,22895652,256447863,35040960,255742371,255742369,9900889,6507518,4077903,4077904,2439925,2439922,4077920,3091377,3091380,5093618,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043 Dl.O(d2) = 231546979,266057228,234990445,266676355,266742693,238946281,266554206,236799489,235936882,234990424,233950578,233950577,233950586,233950585,234990435,234990436,233950591,233950590,266281226,234990441,233950596,232809280,232809279,233950595,234990416,233950567,232809261,231546961,265641952,228552519,230138797,231546955,232809256,232809266,266057234,232809271,231546969,230138803,228552525,226748460,226748461,228552527,230138808,231546975,266057224,233950598,266281224,266057214,232809250,233950558,232809287,231546982,231546983,266057232,266174162,232809286,232809272,231546970,265930556,233675743,232507321,231214405,265700458,229734189,265846332,265538062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186644, s2 = 8860209, dlinesl.size( ) = 10 s1 = 6732607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6887236, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14882725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14882725, s2 = 11076465, int(edited[s2]) = 0 s1 = 14882725, s2 = 11076465, d1 = 8, d2 = 15 Dl.O(d1) = 16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,11766870,7856071,4986189,3011685,3011681,254556295,9319001,254933153,19063659,15866276,254757085,4591148,2762250,267828065,7279773,10996942,10998307,10998306,255876071,37855821,256435480,71916675,65252455,60572417,51512265,51512266,63225465,76241043,63225517,51512306,41295570,41295571,258876011,49959835,39942952,39942951,49959787,61437642,74216720,85046564,74216726,61437649,49959794,39942921,31268243,23783119,17452896,17452894,17452903,23783130,31268287,39942987,49959889,61437755,74216827,87050793,73433373,73345182,73345181,74216790,74216789,72324760,257526417,48203898,59590326,72324764,85918007,99873218,87820679,74216728,74216727,73433381,60685464,49284294,39357205,30756352,23333706,17067317,11977494,8024597,8024599,11977500,17067330,23333732,30756403,39357295,49284399,49284372,39357269,39357268,49284370,60685507,49284380,49284379,60685532,49284374,39357273,39357274,48818115,38896590,38896591,37990432,29428504,22097348,15988651,254523884,7360828,11099377,255449029,22097357,22097358,29428441,29428440,255887498,22097300,15988622,11099363,11099362,15988620,15988645,22097341,29428492,37990418,47906553,48818101,38896581,30310531,22910832,22910830,30310527,38896574,48818093,59866573,48474934,47906588,47906580,37990450,29428519,22097363,22097364,29428521,37990454,47906586,59301511,63391419,59197270,59197269,71936811,72037824,65131428,65131427,59129668,52677159,42290873,42290874,52677161,64577354,64577373,53146363,42695728,256385924,52311716,41971103,41971104,42290890,33310858,25549359,25549360,33310859,33310832,25549336,25549335,33310831,40178303,40178304,33310943,33310944,30273927,22876693,22876694,30273933,38858346,48778498,48140844,38230664,29664377,29664378,38230668,37323995,28787812,21523866,15511849,15511851,21523871,24162399,256546049 Dl.O(d2) = 27001546,20111590,14422892,9921382,6520742,4085678,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,6994167,4395512,4395513,6994169,10600974,7284127,4593600,2763571,2763570,4593598,7284122,11003575,15874784,21328193,21969728,21969729,19830317,19830315,15842739,10978818,7266836,7266835,10978817,15842737,21929510,29212281,21969737,15876386,11005285,7285318,7285319,11005286,15876387,13714548,13366691,9135226,9135227,9135225,5978021,3738359,2238158,1297919,1297918,2238157,3738357,5978019,7282230,11000898,15871888,21965947,29293030,37862306,47786654,59186682,71926091,85513597,85513598,99459500,113469685,116431319,102337765,88341342,74713477,61920282,50430462,48276242,46693648,36810352,28313763,21103447,16473216,11477674,10454020,10454021,11477667,11477664,13408513,9167179,7469832,4720608,4720607,7469828,11252815,7634081,4829701,4829702,2910396,1688397,960190,541196,541195,960186,1688388,2910377,4829762,7634202,11478044,11425624,11425625,11425635,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735501,29025445,33153277,42107689,254746632,58873049,58066108,46693668,46693669,58066111,70783539,58873083,52461602,42109006,37569523,29022997,29022996,255857928,255424056,47408972,47408973,52461546,42108948,33154380,25413172,25413170,33154375,40435087,37590560,33154437,33154436,40431976,31737873,31737875,40431981,47495520,37591201,29043657,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,29040006,37587493,40440013,256351236,255423440,71575900,58864253,255423438,29028858,255052134,15688608,21738186,29028855,37576058,47481959,50468077,50468078,61963744,71584163,58860186,58860185,256350782,85160398,256448848,85151586,99075328,85151484,71583529,58859535,256352816,29023984,29023985,37570794,37575132,37570972,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,22533089,29028772,30051218,30051213,30051215,29037783,21745632,21745631,16901064,16901063,23163198,30580725,39178583,31746114,24235511,24235510,31746111,40440611,50470526,40445981,40445980,33661981,33661982,254745732,37575203,37575202,47480933,58863295,58863844,58863843,49108462,47488955,37583996,29036609,29036608,21750658,268391085,37584156,31737304,24228528,24228530,31737311,40431477,40430764,31736713,31736711,40430760,47475267,47475268,49322028,39393940,30791404,29020862,21731914,21731916,29020870,37567483,47473685,48427489,38519867,38519865,37575561,37575559,47481348,58863671,59483213,48093748,38182027,29614952,29614953,24228703,17856322,15680407,10855553,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438100,10438103,15134297,12647207,8587041,5579806,5579804,8587079,12647304,17859355,24229185,29039534,21747201,21747203,29039431,37586923,29039766,21747397,15695401,15695404,12650082,12650078,12650404,17863877,24229630,17856921,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229153,8158167,12126310,17243567,23551656,23551655,31032839,39709821,49728379,47447759,37539720,28994392,21709980,21709979,15695179,15695181,21747017,29039302,37586815,37586782,37586781,47469221,40437294,40437293,40445556,40445558,40446427,50482782,268690666,61968459,50474219,256043702,31742972,40431381,36726359,28232654,28232655,36726362,37588573,29040934,21748336,15696013,10865714,7184050,7184049,10865707,15696003,21748322,29009579,21722932,21722935,29009584,37555757,47463207,38961670,30376632,28272157,21069287,15134278,10438100,10438103,15134297,17859152,12647333,8587103,8587101,12647361,17859462,17856632,17856628,24229143,31738072,37561270,37561271,29017409,29017412,30869770,23441380,17167557,12071097,12071094,17167537,23441321,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655559,31142626,31142848,39825308,49849009,40430241,40430240,50468064,61963729,71595561,58874384,58874385,71583239,58859104,47476285,37570427,29023740,21734242,21734241,29023735,37570422,47476274,58859088,61967151,61967152,71578072,71578073,85145990,71578014,71578015,85147397,99072087,85149989,71580947,58855791,47471739,47471740,50472675,61967413,74766709,88400349,92442518,78406573,65124623,53139454,42688549,42688550,53139456,257309602,92442521,106747402,117430163,117430166,103295182,270963341,75448668,62526527,50923189,40803922,32044070,32044069,32044071,40803924,50923190,258317533,75448669,259570015,103295183,117430168,131238831,123765343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14882725, s2 = 11076465, dlinesl.size( ) = 8 s1 = 2084491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8043202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8043202, s2 = 10688444, int(edited[s2]) = 0 s1 = 8043202, s2 = 10688444, d1 = 32, d2 = 48 Dl.O(d1) = 257252364,51097030,40954014,37358129,28818437,28818435,35091365,35091366,35091010,35091013,42766871,51116715,40974510,40974508,50170992,40145791,31462169,23966197,17616020,12434102,8403475,5422587,3333460,1960485,1960484,3333456,5422577,8403457,12434074,17615967,13164495,13008427,8856386,5772286,3595777,2144300,2144298,3595770,5772275,8856366,13008392,18325426,20115659,21198481,21198482,18325435,18325434,24815311,20115531,255745443 Dl.O(d2) = 21965622,18378105,13052331,13052330,18378103,18514329,25050996,32518963,32518962,41367253,50650124,50650125,40600276,31891501,31312713,31312714,39989298,50007056,61485177,74262451,87864673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8043202, s2 = 10688444, dlinesl.size( ) = 6 s1 = 1912537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1912537, s2 = 1379211, int(edited[s2]) = 0 s1 = 1912537, s2 = 1379211, d1 = 9, d2 = 11 Dl.O(d1) = 49344313,256221084,35104483 Dl.O(d2) = 27019234,27019235,35104480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1912537, s2 = 1379211, dlinesl.size( ) = 2 s1 = 1912537, s2 = 1379211, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1912537, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 16334967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16334967, s2 = 1729530, int(edited[s2]) = 0 s1 = 16334967, s2 = 1729530, d1 = 1, d2 = 1 Dl.O(d1) = 95239330,95239334,81184166,67719204,55379370,44533133,35156898,27070880,27070881,35156900,30494025,23080355,255959543,20160973,14463360,9950671,6539833,6539834,254978779,20160980,27054448,35140078,44516729,55362945,67702736,81168496,95224891 Dl.O(d2) = 95239330,95239334,81184166,67719204,55379370,44533133,35156898,27070880,27070881,35156900,30494025,23080355,255959543,20160973,14463360,9950671,6539833,6539834,254978779,20160980,27054448,35140078,44516729,55362945,67702736,81168496,95224891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16334967, s2 = 1729530, dlinesl.size( ) = 2 s1 = 16334967, s2 = 1729530, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16334967, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 13297719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13297719, s2 = 62739, int(edited[s2]) = 0 s1 = 13297719, s2 = 62739, d1 = 20, d2 = 0 Dl.O(d1) = 55378889,44532670,44532669,35196140 Dl.O(d2) = 1300408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13297719, s2 = 62739, dlinesl.size( ) = 2 s1 = 13297719, s2 = 62739, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13297719, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 14854006, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1732491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 435721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 435721, s2 = 11443042, int(edited[s2]) = 0 s1 = 435721, s2 = 11443042, d1 = 133, d2 = 81 Dl.O(d1) = 11056600,11056601,11604242,16635544,16635543,22862441,22035325,255881499,35210614,27118686,20215797,14506375,14506374 Dl.O(d2) = 262321759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 435721, s2 = 11443042, dlinesl.size( ) = 48 s1 = 987864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 987864, s2 = 13424390, int(edited[s2]) = 0 s1 = 987864, s2 = 13424390, d1 = 43, d2 = 55 Dl.O(d1) = 255968124,38343370,32750556,25058780,18520400,13159108,8969447,5855405,3655072,3655071,5855403,254905333,18520391,25058763,32750532,33961135,26123424,26123423,33961133,43018195,51336129,41150807,32335638,25058777,25058778,32750553,27149636,27149637,35247928 Dl.O(d2) = 35447711,27673904,27673903,35996473,45677273,56852087,69436253,74893728,259549501,111054506,111054527,124965466,260456485,259231955,69869250,57230082,45973332,45973333,258604183,75186033,75186035,88874611,100316177,88874727,88874724,102914275,103004326,103004327,117114041,272386100,125217420,261038625,124481965,110436774,96294294,82280077,69916073,57270318,57270320,68655059,56169908,45157018,35638123,35638120,38705503,36186722,27803423,20694589,20694588,20706972,27810883,27812541,27814578,27814579,27814742,20702247,14842216,14842217,20702318,27814981,36171097,36171093,40339288,31649836,31649833,40339341,50367357,61852234,257039570,96192743,258569395,68638560,270704567,110351423,260371106,89477145,75713177,257718865,40986791,40986792,51131451,62765378,75713185,89477153,103573571,117705440,131508838,138246026,130202140,130202139,124382652,124382653,272479311,137544429,123838868,109671545,109671544,96754029,96754030,110819947,124486096,124486098,259816238,107766743,107766744,102817125,271623134,97399484,83490142,69952137,57303734,46031537,46031535,56349138,56349136,45607690,44915374,35466102,27324531,20378246,14625742,10062187,10062183,10157068,14625663,14806239,14796144,10176529,10175581,10136774,10136770,14670096,10089971,10089972,14670126,20443508,27419445,35603654,44956986,44956985,55909163,56918999,56918998,56165003,56165002,68649246,82179754,74976158,62164643,50655715,40605636,31896471,268266655,12736347,8654833,5629584,3498111,2078774,2078776,3498161,5629738,8655174,12736983,17973255,24370393,31898396,40608823,42603581,50719523,42603107,40644338,31927120,29722846,29722848,31958496,29722847,29722845,31958464,31958467,31960966,31958184,25785185,25785183,33579432,40695897,42596008,38062737,29499843,29499841,38062743,47974875,59365340,72098516,62767664,62373394,50803601,40707517,31965621,31965620,32845887,41766238,41764986,41764988,50897677,50897676,62298328,63821722,52005614,41693370,32776355,32776354,32797422,25097106,18549488,18549490,18549725,13179923,8984009,8984007,9003975,5877900,5877897,9004036,13208629,18587139,25142196,32848379,255645644,255645646,255766602,35611776,39292128,32829474,25124894,18572703,13198080,13198081,18572706,25124898,256621015,50514787,62006154,68594878,257764577,52064071,49218753,49218752,60619399,61874814,56120514,56120515,46186253,46186252,46186223,46186222,57495970,49218807,49218806,56120567,56120566,60619540,60619539,60619549,49218894,49218816,49218815,60619467,49218840,39292154,30694664,23279447,23279445,30694662,39292148,49218830,60200800,60619497,49218847,39292163,39292164,49218851,56810708,46186213,46186214,57495957,60619513,49218867,39292171,39292169,49218865,49218778,39292103,39292102,49218775,60619415,49218768,39292098,39292099,49218770,57495960,60619408,57495965,49218888,39292189,30694683,30694684,39292191,49218892,60619548,73364101,73364102,70160195,57495996,46186241,36362113,27923233,27923232,36362110,46186232,57495985,70160179,73364099,73364098,72939837,72939836,86537723,74267562,61490789,61490790,60201154,60201152,70158749,57494444,57494445,70158754,83682249,71218227,58496316,47117925,37220457,28695148,28695149,37220459,46184874,57494431,49734950,39716379,39716380,49734953,61213329,73992141,86537706,74267570,61490795,61490794,71218199,72939751,72939733,60201005,48804708,48804707,257627243,73992106,87592429,101554975,114519992,114519991,114519963,100496303,86537636,72939729,72939728,259429077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 987864, s2 = 13424390, dlinesl.size( ) = 2 s1 = 987864, s2 = 13424390, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 987864, Dl.E( ) = 58, 2.5e-05 seconds used appending s1 = 15373523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14885240, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9477309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9471092, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15091940, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13661273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116277, s2 = 4568575, int(edited[s2]) = 0 s1 = 14116277, s2 = 4568575, d1 = 128, d2 = 82 Dl.O(d1) = 154846492,260790614,260193710,100899852,86919474,73309345,257714258,256578314,257015947,60566172,73309344,68129528,55731762,44824226,35398657,27272243,27272244,35398658 Dl.O(d2) = 262577919,261555993,260992839,109436421,95180344,81121951,81121950 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 9434663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9434663, s2 = 15203786, int(edited[s2]) = 0 s1 = 9434663, s2 = 15203786, d1 = 22, d2 = 6 Dl.O(d1) = 84444456,91686667,91686666,105893714,105893715,259327052,133947097,120105293,105893722,259180002,64576880,64576881,259668213,120105295,120105265,120105266,133947077,260132388,155156925,142512511,133947073,133947074,147169436,147169438,159528678,147169442,261007242,105893708,105893707,120105273,113505394,99494289,271328143,260619702,113505383,127375379,140731645,127375381,127375380,133947080,140731648,140731647,140731638,140731639,127375366,127375368,113505400,113505401,127375396,113505405,99494299,85547548,71959779,59221485,59221484,71959776,68138367,55740353,44832462,35407019,27281323,20345806,20345805,27281322,35407018,44832461,44392369,44392368,55241121,62829842,254928712,41023689,255269752,64613324,52713006,52713005,64613322 Dl.O(d2) = 33490086,33490085,42485995,52892431,58089213,70806054,269638378,112252983,126108886,139480564,152210057,162560358,273058235,142791895,129470166,115584940,115584941,129470168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9434663, s2 = 15203786, dlinesl.size( ) = 2 s1 = 9434663, s2 = 15203786, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9434663, Dl.E( ) = 24, 2.38e-05 seconds used appending s1 = 1393256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16225679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16225679, s2 = 13900656, int(edited[s2]) = 0 s1 = 16225679, s2 = 13900656, d1 = 72, d2 = 55 Dl.O(d1) = 222222319,224614423,226691760,228501977,228501975,226691753,265406554,219435637,219435638,222222317,224614396,222222296,219435620,216136777,216136775,219435617,265009978,216136784,219435629,265406541,226691744,224614411,222222312,219435660,216136811,212155089,207280928,201370069,194345934,186144685,176734302,166098928,154352088 Dl.O(d2) = 234603783,233526740,232341470,232341471,232341473,233526742,234603788,266648239,237292845,238033861,266520010,235584569,234603801,233526749,233526748,234603799,235584567,235584556,234603792,233526744,232341474,231030401,229568939,227924481,227924480,229568936,231030397,232341466,233526736,234603778,235584544,234603800,234603799,235584566,236477991,237292837,237292831,237292818,236477957,235584546,234603781,266237004,236477959,236478000,236478001,266433320,266237006,233526739,232341470,232341471,232341473,233526741,234603785,235584552,236477972,236478002,236478003,237292845,238033861,237292829,236477973,235584553,234603790,234603789,266338750,237292821,236477960,235584547,234603783,233526740,232341470,232341469,233526737,234603780,235584545,236477955,237292816,238033857,238707863,239326484,239896141,240422713,266912104,241781373,267049976,242858553,243168738,243459884,243730954,274953376,267277952,267387096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16225679, s2 = 13900656, dlinesl.size( ) = 18 s1 = 11168848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168848, s2 = 2384085, int(edited[s2]) = 0 s1 = 11168848, s2 = 2384085, d1 = 104, d2 = 151 Dl.O(d1) = 272119181,262259002,273682017,263051193,271653404 Dl.O(d2) = 20893944,14989994,10321126,6790516,6790518,10321129,14990002,20893954,28064665,256399474,22318160,29669434,38234820,48144860,53493822,63261415,73392182,60645515,49244909,43015569,33958702,33958700,43015564,53493841,65517266,78849680,78849673,65517255,53493827,46874293,36995535,36995534,34011726,26169866,19468967,13933638,13933639,19468973,26169874,33380876,42369937,33380879,33380880,33958707,33958708,43015572,53493855,44632820,44632821,55482895,67824394,81290455,258424062,257216594,78849683,65517268,53493849,53493845,53493844,65517261,64683360,52769049,256142012,53548572,43069527,254656730,26169862,34011720,43069524,52769056,52769055,64683368,77872994,67824397,55482897,55482896,64737669,52821773,43027995,268028146,26131540,33357860,254206558,18986949,25597113,33357857,33429569,33958705,43015571,53493852,65517272,65528627,53502967,43023450,33965787,26127477,26127478,33965791,43023452,43015540,43015541,255682482,63856434,52036574,42420122,42420121,52821794,64737686,77928954,78908543,256660190,256656138,33429380,33429366,33429365,255674698,53502038,52726111,42339078,42339077,52726110,64626281,65528623,53502964,43023448,43023447,42420139,256143908,19041913,19041911,25661032,33429387,42420133,33491152,25715715,25715716,33357866,42339072,33965801,33965800,43023459,53502977,65528636,65573314,64129651,52279749,41940483,256141284,64129656,53502972,52821804,52821802,48209679,38299875,38299876,48209683,59596804,52769066,42369952,33380890,33380889,42369947,52769064,64683375,77873001,77928945,77928967,77928966,71421740,71421741,84995046,77887675,64698489,52784556,42385369,33396518,33396517,41184841,41184840,42385480,52784632,64698551,53806376,43281302,43281301,53806372,61414862,49936809,49936810,61414868,65527565,53502057,43022741,33965182,33965180,41184848,41184847,51371426,52821830,42420159,42420160,38299881,38299880,48209690,52769073,42369960,267975810,25615134,33380893,42369957,52769070,53182570,59596801,59596802,72332020,65528631,65528630,77808810,68109688,55713046,44806285,44806286,41184845,32368452,24751215,18277168,18277167,24751210,25630513,33396523,42385374,52784558,64698491,74193513,65527563,53502052,53502054,52821818,42420152,33429412,33429410,42420148,52821816,64381767,77549794,78863549,65527561,65527560,64683386,64683387,64683381,52769069,51371399,41184823,41184824,42733234,53182576,63053217,64698483,64698482,74193510,61414853,61414854,52508385,51371449,41184874,32368468,32368469,41184867,32368465,24751220,24751217,32368458,41184858,51371436,63053241,76037217,89815344,103917686,260012080,125549095,273084579,183976021,263827119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168848, s2 = 2384085, dlinesl.size( ) = 2 s1 = 11168848, s2 = 2384085, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11168848, Dl.E( ) = 180, 6.29e-05 seconds used appending s1 = 16188919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13226719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14521219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14918360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1750672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1750672, s2 = 944290, int(edited[s2]) = 0 s1 = 1750672, s2 = 944290, d1 = 103, d2 = 93 Dl.O(d1) = 46351613,36493795,28031194,20863631 Dl.O(d2) = 12389693,13497762,10017694,10017695,14558139,20288186,23918962,17577341,12405538,8384227,258265803,87967958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1750672, s2 = 944290, dlinesl.size( ) = 22 s1 = 1751900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1405684, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1406430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8339795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15992203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1759198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1759198, s2 = 9387129, int(edited[s2]) = 0 s1 = 1759198, s2 = 9387129, d1 = 12, d2 = 31 Dl.O(d1) = 46486219 Dl.O(d2) = 21629424,23184444,16918830,16918831,268423387,30603328,35011100,35011101,30601633,23184913,16919168,11840995,7913425,7913426,11841002,16919182,23184937,30603851,39199759,35230728,35230730,30604680,28065440,28065441,28414965,23183774,23183776,30602560,257012787,47354660,47762099,39200002,39200003,49127319,49126944,47349911,37443200,37443201,35011098,26929383,20043871,16247432,11295842,9116197,9116195,13342733,16215854,16647033,16647034,22875339,29940321,22798114,16581250,16581251,16647638,16647637,18288362,12980749,12980748,12980821,8836349,5967112,5967113,9119481,9926445,8836361,5758107,3585830,2948879,1710188,972027,972028,1710194,2948890,4893247,4895376,2950205,2950206,2951352,1713924,1713923,2955798,4903965,7744028,7743963,254794873,4866143,2932239,267831827,2898005,4808530,7601093,7584315,7584314,254867604,7693882,7693883,11561065,11415315,7586374,4798445,4798446,7586376,4905770,2956771,1714457,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,11410837,15102103,10416337,6866595,6866597,10416323,6866584,6866586,10416326,11448279,11448323,11448321,255055783,254511895,4543710,7211577,10904095,11448619,7614155,7614153,11448612,11458218,255104903,19782150,26586270,22196620,18472063,255637013,32126013,32126014,40901314,40901315,51040472,46872596,36993910,36993911,29539732,22196486,16067769,16067770,16132848,16132849,255426898,12842802,8733548,5685838,5685840,7400217,7400216,8733562,5685844,5685843,8733558,10682133,15449926,16067883,12842770,8733533,8733532,12842764,18111674,256067197,29205642,21892410,21892411,29205643,255892429,16067547,11156774,7400123,7400124,11156781,12524983,12524980,16642879,16068002,11157062,7400265,4674961,2816413,2816412,2816430,1633923,1633922,2816425,4674981,7400307,11157152,16068138,22197022,22105619,22105617,24062144,29539503,38102930,29540577,29540578,38103941,39513028,32991850,32991851,41932537,38102850,29539382,255454745,16067540,268400801,38102848,40255594,38103620,29540192,22196870,16068039,16068040,22196872,29540195,38103622,47121883,37224139,37224140,32126043,24546969,24546971,30904859,29540243,22196895,22196894,29540235,29539346,22196146,22196147,29539353,38102815,48013349,39513012,30904857,23470233,23470232,30904854,39513008,48013351,48013352,50555655,50555654,59401211,48013836,48013835,38103818,38103819,40255589,31567955,24062198,17707002,12525061,8486769,8486770,12525063,17707004,24062203,29772914,38343930,38103649,29540227,22196891,22196890,29540225,38103646,30904869,29701853,255466740,16197604,22347576,26586446,29772882,22409406,22409407,29772884,38343894,39223613,48105778,48013831,48013830,49835071,42709551,33679585,25873466,25873465,21545858,21545856,28814024,37352864,33150690,33150691,28404651,21183684,15222204,15222203,21183682,28404648,25417802,25417801,29701768,24289525,24289524,31804109,36895479,36895478,40603697,40603698,50653731,49290303,39363144,30761951,23339078,23339079,30761953,39363145,37498035,28955452,28955453,25410102,18819127,13407096,13407095,18819126,25410100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1759198, s2 = 9387129, dlinesl.size( ) = 2 s1 = 1759198, s2 = 9387129, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1759198, Dl.E( ) = 32, 8.82e-06 seconds used appending s1 = 6544267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1409694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1409694, s2 = 10356485, int(edited[s2]) = 0 s1 = 1409694, s2 = 10356485, d1 = 2, d2 = 61 Dl.O(d1) = 36626235 Dl.O(d2) = 261649959,164378688,263095358,264648713,204351280,271807538,78509454,65220497,257533792,92555547,78509454,65220497,255914246,25942320,254779942,16278790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1409694, s2 = 10356485, dlinesl.size( ) = 2 s1 = 1409694, s2 = 10356485, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1409694, Dl.E( ) = 78, 2.38e-05 seconds used appending s1 = 293841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 293841, s2 = 7597587, int(edited[s2]) = 0 s1 = 293841, s2 = 7597587, d1 = 6, d2 = 168 Dl.O(d1) = 7272795 Dl.O(d2) = 268913454,13544593,17486801,17486802,23823549,255020302 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8078709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9338836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1410838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1761199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14657664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14657664, s2 = 6690238, int(edited[s2]) = 0 s1 = 14657664, s2 = 6690238, d1 = 23, d2 = 13 Dl.O(d1) = 258479726,47240065,37330311,28793186,21528404,21528405,256875707,58633374,270815304,260537711,140059245,152749288,152755707,140066091,126719099,126719100,140066093,140324109,140324108,153023165,164861762,175618298,262666076,142282120 Dl.O(d2) = 257407509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14657664, s2 = 6690238, dlinesl.size( ) = 20 s1 = 10158297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10158297, s2 = 8594749, int(edited[s2]) = 0 s1 = 10158297, s2 = 8594749, d1 = 137, d2 = 149 Dl.O(d1) = 257695026,51117994,256054490,24607205,24607204,255600988 Dl.O(d2) = 262920568,271528154,259992215,260592061,140985333,262232159,272857560,262920571 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13509725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13509725, s2 = 8038951, int(edited[s2]) = 0 s1 = 13509725, s2 = 8038951, d1 = 16, d2 = 18 Dl.O(d1) = 17511718,23854622,31348285,40027952,40027951,50047766,61527141,60560537,49160771,44350373,44350372,49277750,57996791,46620580 Dl.O(d2) = 31575358,24069725,24069724,31575355,24069959,17713809,17713808,24069957,31575670,40262775,43225961,43225960,50283581,61763286,61763211,50283475,40262488,40262489,50283476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13509725, s2 = 8038951, dlinesl.size( ) = 2 s1 = 13509725, s2 = 8038951, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13509725, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 1416189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1416189, s2 = 2081462, int(edited[s2]) = 0 s1 = 1416189, s2 = 2081462, d1 = 7, d2 = 11 Dl.O(d1) = 36779489 Dl.O(d2) = 55257659,257906247,44410114,35035591,26955685,20071593,14388370,9894120 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8084021, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8367234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13355023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13355023, s2 = 6694235, int(edited[s2]) = 0 s1 = 13355023, s2 = 6694235, d1 = 0, d2 = 5 Dl.O(d1) = 30014624,28350848,21137335,21137334,28350846,36848254,46731254,48020641,54584341,43839445,256149620,19778298,19778299,26581427,34567757,38110700,38572603,38572604,256910622,72615606 Dl.O(d2) = 2721320,4527065,7185876,10868420,15699953,21753552,29046823,37594576,47498754,37594577,256894925,55656132,258550211,257443738,256323980,27198347,20271803,255757977,256761845,269651635,55656131,268836069,20271802,14544557,14544555,14544558,267883130,4119685,4119686,4122235,6579011,6576356,4119687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13355023, s2 = 6694235, dlinesl.size( ) = 2 s1 = 13355023, s2 = 6694235, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13355023, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 16019029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16019029, s2 = 16007760, int(edited[s2]) = 0 s1 = 16019029, s2 = 16007760, d1 = 15, d2 = 149 Dl.O(d1) = 52562202 Dl.O(d2) = 203657556,197068030,189353659,180437149,170295265,158953316,146586391,133340960,119481875,105257363,91047578,77142766,64011970,52178636,41854204,32924535,32924536,41854202,52178635,64011968,77142764,91047577,105257362,119481873,133340958,146586390,158953314,170295263,180437148,189353658,197068028,203657555,209166246,213688037,217397101,220488329,223116365,225386004,227358205,229083042,230605651,231961742,233182982,234287326,235292326,236208023,237042882,237805839,238499463,239134969,239719220,240259494,274801808,240273171,266817782,239151981,238518398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16019029, s2 = 16007760, dlinesl.size( ) = 2 s1 = 16019029, s2 = 16007760, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16019029, Dl.E( ) = 176, 5.1e-05 seconds used appending s1 = 7583157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7583157, s2 = 526703, int(edited[s2]) = 0 s1 = 7583157, s2 = 526703, d1 = 4, d2 = 2 Dl.O(d1) = 268470108,36868647,36868646 Dl.O(d2) = 13406013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7583157, s2 = 526703, dlinesl.size( ) = 2 s1 = 7583157, s2 = 526703, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7583157, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11032898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032898, s2 = 408907, int(edited[s2]) = 0 s1 = 11032898, s2 = 408907, d1 = 0, d2 = 0 Dl.O(d1) = 220008365,264624034,227077543,228844840,265471780,265637016,234150847,235172871,236103179,236949962,237721581,238422560,239061949,239649670,240194040,266764082,241595648,241995086,242363789,267024658,243325611,267174154,267234594,244542973,244737771,244919704,245015339,267355560,244454400,244239997,267297755,243759766,243491253,243202646,242895072,242564774,242210162,267041591,240962296,240477637,239955513,239392269,238781821,238117521,237387482,236584174,235702679,234733720,233670865,232502347,231209321,265845845,226292327,265366259,218858348,215475770,211381667,206372791,200316668,193146804,184792930,262656645,152588938,139879574,126514277,112649937,98653638,84723694,71154158,58432900,47058108,37166762,28649832,28649830,37166760,44564105,35185797,35185798,44564106,48470508,48470509,59861637,72599313,85094116,71522012,58792510,47405169,47405170,58792512,270283578,84392385,257419156,256301646,46752384,36873205,28376509,21159241,15203260,10486419,6913995,4342539,2600039,254157719,850163,1500045,2600036,254492479,10486417,6914034,254721489,4342571,254492485,4342574,6914036,255019039,21159286,256301655,46752424,58120967 Dl.O(d2) = 220008365,264624034,227077543,228844840,265471780,265637016,234150847,235172871,236103179,236949962,237721581,238422560,239061949,239649670,240194040,266764082,241595648,241995086,242363789,267024658,243325611,267174154,267234594,244542973,244737771,244919704,245015339,267355560,244454400,244239997,267297755,243759766,243491253,243202646,242895072,242564774,242210162,267041591,240962296,240477637,239955513,239392269,238781821,238117521,237387482,236584174,235702679,234733720,233670865,232502347,231209321,265845845,226292327,265366259,218858348,215475770,211381667,206372791,200316668,193146804,184792930,262656645,152588938,139879574,126514277,112649937,98653638,84723694,71154158,58432900,47058108,37166762,28649832,28649830,37166760,44564105,35185797,35185798,44564106,48470508,48470509,59861637,72599313,85094116,71522012,58792510,47405169,47405170,58792512,270283578,84392385,257419156,256301646,46752384,36873205,28376509,21159241,15203260,10486419,6913995,4342539,2600039,254157719,850163,1500045,2600036,254492479,10486417,6914034,254721489,4342571,254492485,4342574,6914036,255019039,21159286,256301655,46752424,58120967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032898, s2 = 408907, dlinesl.size( ) = 2 s1 = 11032898, s2 = 408907, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11032898, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15101548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15101548, s2 = 1420966, int(edited[s2]) = 0 s1 = 15101548, s2 = 1420966, d1 = 1, d2 = 1 Dl.O(d1) = 17570779,23913518,31404882,40085266,50105902,46752576,36873388 Dl.O(d2) = 17570779,23913518,31404882,40085266,50105902,46752576,36873388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15101548, s2 = 1420966, dlinesl.size( ) = 2 s1 = 15101548, s2 = 1420966, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15101548, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1421851, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16274976, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8003986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8013513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 817429, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13265945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16067763, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16205457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6800395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15909323, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16266137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16266137, s2 = 7578005, int(edited[s2]) = 0 s1 = 16266137, s2 = 7578005, d1 = 22, d2 = 14 Dl.O(d1) = 215267851,211132141,206075186,199957745,192718021,184299028,174676509,174676507,262623324,139283524,125934453,125934452,125934453,112101149,98142214,84248483,70696624,57978702,46601575,256822390,21025518,15101418,10415503,10415457,10415458,15101390,17494600,12335178,12335177,15072913,10395961,6852715,6852714,10395960,14942141,254704773,254704775,5217364,8144489,12112991,17231102,23539095,31020224,39697293,49716066,61194723,73973259,259481203,260096333,129436600,261811501,166999718,177515897 Dl.O(d2) = 268380223,10547052,6955839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16266137, s2 = 7578005, dlinesl.size( ) = 2 s1 = 16266137, s2 = 7578005, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16266137, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 15382513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15382513, s2 = 14046602, int(edited[s2]) = 0 s1 = 15382513, s2 = 14046602, d1 = 16, d2 = 15 Dl.O(d1) = 58828153 Dl.O(d2) = 47345523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15382513, s2 = 14046602, dlinesl.size( ) = 2 s1 = 15382513, s2 = 14046602, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15382513, Dl.E( ) = 36, 1.79e-05 seconds used appending s1 = 14103494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103494, s2 = 9351193, int(edited[s2]) = 0 s1 = 14103494, s2 = 9351193, d1 = 1, d2 = 1 Dl.O(d1) = 47080719,256450408,21418616,21418617,28664453,37185450,47080722,47694933,47695000,47694999,47694927,37773562,37773538,37773537,46593309,36706347,36706346,46593307,46593357,46593356,57969689,70687460,84239711,79330649,65967535,65967534,79330646,74634189,74634188,63956726,63956727,70687447,64770072,257489636,33453037,255679687,19058686,268498245,37630430,29079995,21782053,15723068,15723069,14381951,9898944,6505846,4076831,2439286,1410328,1410327,2439284,4076829,6505841,9898937,10883395,14354295,14354293,14395676,14358759,14358757,20043661,15725663,10889168,7200907,7200906,8707856,10889057,7200819,4536678,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,506607,897946,897944,1579491,1579641,2726297,2726365,2725691,2725692,2278521,2278522,3803823,6079107,7200411,10888572,14354331,10888304,10888302,9886107,9886105,7832737,7832736,11569443,11569442,7832714,7832717,9876809,9888608,9872092,6485331,4073001,2437143,2437141,4063827,6485293,4536919,4536917,2935785,2935786,4535111,4535110,7198406,10886155,14364676,9871294,7198703,7198702,7198711,7198710,6504285,4535255,4074241,2437784,1409548,1409547,2437775,4074209,6501986,7199249,10887187,15723793,21782706,21779222,21779221,26954462,268393294,29086005,37635824,47541062,58922156,71643200,85208464,99131228,113122049,126980733,140335422,261640405,260510109,98429555,84507993,70944344,58227164,46859392,36980859,28483989,21267532,15306050,10569908,267881707,2623006,1513881,858112,858113,1513882,2623012,4379709,6971719,8371986,5403147,3321982,3321983,5403155,5197524,5197525,4978535,3007404,3007405,4978539,3321952,3321956,5403007,5403006,6053315,3787941,3787938,3793912,3793733,3793729,2272477,1317892,1317120,1317121,1317924,1318747,1318746,2274107,3796646,4375002,6963709,10558428,15293816,17159053,254977991,7269195,7269196,254378465,1793640,1023190,1023186,1793605,1316505,1316507,1315926,750991,750994,1315982,2268665,254446791,4379696,6971696,10569905,15306047,21267530,28483988,36980858 Dl.O(d2) = 47080719,256450408,21418616,21418617,28664453,37185450,47080722,47694933,47695000,47694999,47694927,37773562,37773538,37773537,46593309,36706347,36706346,46593307,46593357,46593356,57969689,70687460,84239711,79330649,65967535,65967534,79330646,74634189,74634188,63956726,63956727,70687447,64770072,257489636,33453037,255679687,19058686,268498245,37630430,29079995,21782053,15723068,15723069,14381951,9898944,6505846,4076831,2439286,1410328,1410327,2439284,4076829,6505841,9898937,10883395,14354295,14354293,14395676,14358759,14358757,20043661,15725663,10889168,7200907,7200906,8707856,10889057,7200819,4536678,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,506607,897946,897944,1579491,1579641,2726297,2726365,2725691,2725692,2278521,2278522,3803823,6079107,7200411,10888572,14354331,10888304,10888302,9886107,9886105,7832737,7832736,11569443,11569442,7832714,7832717,9876809,9888608,9872092,6485331,4073001,2437143,2437141,4063827,6485293,4536919,4536917,2935785,2935786,4535111,4535110,7198406,10886155,14364676,9871294,7198703,7198702,7198711,7198710,6504285,4535255,4074241,2437784,1409548,1409547,2437775,4074209,6501986,7199249,10887187,15723793,21782706,21779222,21779221,26954462,268393294,29086005,37635824,47541062,58922156,71643200,85208464,99131228,113122049,126980733,140335422,261640405,260510109,98429555,84507993,70944344,58227164,46859392,36980859,28483989,21267532,15306050,10569908,267881707,2623006,1513881,858112,858113,1513882,2623012,4379709,6971719,8371986,5403147,3321982,3321983,5403155,5197524,5197525,4978535,3007404,3007405,4978539,3321952,3321956,5403007,5403006,6053315,3787941,3787938,3793912,3793733,3793729,2272477,1317892,1317120,1317121,1317924,1318747,1318746,2274107,3796646,4375002,6963709,10558428,15293816,17159053,254977991,7269195,7269196,254378465,1793640,1023190,1023186,1793605,1316505,1316507,1315926,750991,750994,1315982,2268665,254446791,4379696,6971696,10569905,15306047,21267530,28483988,36980858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103494, s2 = 9351193, dlinesl.size( ) = 2 s1 = 14103494, s2 = 9351193, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14103494, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1779056, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6546455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6546455, s2 = 6543357, int(edited[s2]) = 0 s1 = 6546455, s2 = 6543357, d1 = 48, d2 = 46 Dl.O(d1) = 255822051 Dl.O(d2) = 255790021,14994770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6546455, s2 = 6543357, dlinesl.size( ) = 2 s1 = 6546455, s2 = 6543357, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6546455, Dl.E( ) = 84, 2.31e-05 seconds used appending s1 = 16189635, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1780584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1780584, s2 = 13189998, int(edited[s2]) = 0 s1 = 1780584, s2 = 13189998, d1 = 46, d2 = 116 Dl.O(d1) = 46889135 Dl.O(d2) = 2533443,1459918,1459916,2533438,4237309,6761543,9060970,5924503,5921370,3702618,2217692,2217690,3702612,254640625,6793079,6793080,10323970,6801307,6801308,9078197,13272332,13272331,10284031,10284030,6779041,4249266,4249267,6779044,6832238,6832235,10370041,10382360,10308311,6821090,4278939,4278937,6821046,4278909,4278908,2567073,2567077,4227582,2528228,1457040,824968,465886,262215,145338,79980,79979,145335,262203,465855,824911,1456927,2528014,2547898,4261868,6796840,10328335,13271347,9056200,9056201,9356140,6128469,3834298,3834299,4228163,2528113,2528115,4228170,4281771,4281772,5951921,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,3716927,5588054,6433258,9785178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1780584, s2 = 13189998, dlinesl.size( ) = 14 s1 = 15540545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15540545, s2 = 12992735, int(edited[s2]) = 0 s1 = 15540545, s2 = 12992735, d1 = 53, d2 = 74 Dl.O(d1) = 256239189 Dl.O(d2) = 81165902,67700205,60764526,60764525,73513655,87132375,101130524,115208400,129140133,142517426,129140129,115208397,115208396,101130520,87132373,73513654,73513655,87132375,101130523,271841021,162566745,155161663,142517422,129140126,115208394,101130519,87132373,87132372,101130518,115208391,129140121,123668303,123668304,137399393,260082564,129140131,115208398,271841021,162566745,155161663,142517422,129140126,115208394,115208393,129140125,270360228,101130525,101130524,115208399,129140123,129140120,115208390,101130517,101130518,115208391,129140121,123668303,123668302,137399391,150438768,155161663,142517422,129140126,115208394,115208393,129140125,270360228,101130525,101130524,115208400,129140133,137399392,123668303,123668304,137399393,142517421,129140119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15540545, s2 = 12992735, dlinesl.size( ) = 2 s1 = 15540545, s2 = 12992735, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15540545, Dl.E( ) = 76, 2.6e-05 seconds used appending s1 = 1781340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6740618, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8015142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8015142, s2 = 16341560, int(edited[s2]) = 0 s1 = 8015142, s2 = 16341560, d1 = 8, d2 = 12 Dl.O(d1) = 83895023,257518426,36476358,28015699,20849848,20270685,14543653,14543652,17516187,23859538,19583512,14030016,14030018,10622540,10622539,15367970,15367967,21342688,28570591,37073573 Dl.O(d2) = 47694731,257017568,30665507,39261028,49186805,60586895,258205660,86941720,100924259,260069214,114978098,128880615,142232681,261789470,166568772,177143276,186491937,194639904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8015142, s2 = 16341560, dlinesl.size( ) = 2 s1 = 8015142, s2 = 16341560, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8015142, Dl.E( ) = 14, 4.77e-06 seconds used appending s1 = 1113746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1113746, s2 = 5508295, int(edited[s2]) = 0 s1 = 1113746, s2 = 5508295, d1 = 45, d2 = 35 Dl.O(d1) = 28678163,256325839,257437511 Dl.O(d2) = 226664002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1113746, s2 = 5508295, dlinesl.size( ) = 20 s1 = 9100187, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16341559, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15325037, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1437524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1437524, s2 = 2820437, int(edited[s2]) = 0 s1 = 1437524, s2 = 2820437, d1 = 2, d2 = 22 Dl.O(d1) = 37140526 Dl.O(d2) = 84682947,98607827,112603093,112603098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1437524, s2 = 2820437, dlinesl.size( ) = 40 s1 = 15656515, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15887741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15976177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6434133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6434133, s2 = 4443630, int(edited[s2]) = 0 s1 = 6434133, s2 = 4443630, d1 = 26, d2 = 34 Dl.O(d1) = 254335494 Dl.O(d2) = 175286913,260533588,164515807,152671212,152671213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 6574974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574974, s2 = 13339390, int(edited[s2]) = 0 s1 = 6574974, s2 = 13339390, d1 = 8, d2 = 7 Dl.O(d1) = 256128536 Dl.O(d2) = 37397682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6574974, s2 = 13339390, dlinesl.size( ) = 2 s1 = 6574974, s2 = 13339390, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6574974, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 1796066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15343813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15343813, s2 = 11531192, int(edited[s2]) = 0 s1 = 15343813, s2 = 11531192, d1 = 189, d2 = 104 Dl.O(d1) = 254874466,2057393,1895096,1081589,913169,515213,289126,289125,515209,913161,911559,514247,288567,288568,514252,515740,289447,160206,160208,289292,289291,173266,173265,313264 Dl.O(d2) = 232528087,231236584,229796259,265981222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15343813, s2 = 11531192, dlinesl.size( ) = 42 s1 = 421449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6639929, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7911328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14533197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1451708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1451708, s2 = 10163966, int(edited[s2]) = 0 s1 = 1451708, s2 = 10163966, d1 = 16, d2 = 3 Dl.O(d1) = 37403882 Dl.O(d2) = 12400802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1451708, s2 = 10163966, dlinesl.size( ) = 2 s1 = 1451708, s2 = 10163966, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1451708, Dl.E( ) = 40, 1.5e-05 seconds used appending s1 = 14079902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1805629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1805629, s2 = 13493645, int(edited[s2]) = 0 s1 = 1805629, s2 = 13493645, d1 = 11, d2 = 9 Dl.O(d1) = 47341814,37434425,28893068,27014079,20121563,19160093,19160091,15586996,10782644,10782643,15586993,21616940,28012046,21624406,21624405,28899543,23929730,19814819,19814820,20341224,15588430,10783682,7125163,4486024,2695252,1561450,254120855,500903,887748,1561446,2695243,4485998,7125109,10783592,14609928,10052978,6605674,4137829,4137828,6605670,10052971,14609919,20353697,27288544,35413282,35408130,35408131,27288538,27288539,268557017,44833548,35413280,27288541,20353695,20353696,27288543,27282519,20347114,14604244,14604243,20347113,27282515,35408133,44833543,40632431,31916978,24384557,17985010,12746526 Dl.O(d2) = 3502039,3502040,5635114,8662444,8653059,5628236,3497154,2090930,1202657,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197237,2081488,1196802,674021,674023,1196868,2081611,267850915,8662445,8662446,12746527,17985014,24384561,31916981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1805629, s2 = 13493645, dlinesl.size( ) = 2 s1 = 1805629, s2 = 13493645, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1805629, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 1453925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2165316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2165316, s2 = 3980442, int(edited[s2]) = 0 s1 = 2165316, s2 = 3980442, d1 = 47, d2 = 26 Dl.O(d1) = 58762504,47374914,37468105,28927438,268211669 Dl.O(d2) = 143909328,147343931,134131515,120300668,106100367,91905396,77981165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2165316, s2 = 3980442, dlinesl.size( ) = 2 s1 = 2165316, s2 = 3980442, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2165316, Dl.E( ) = 54, 3.6e-05 seconds used appending s1 = 1456208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8365788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1467238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11139708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16324469, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11030160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1827402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1827402, s2 = 15294991, int(edited[s2]) = 0 s1 = 1827402, s2 = 15294991, d1 = 4, d2 = 46 Dl.O(d1) = 47773808 Dl.O(d2) = 100096659,258773623,59794529,59794528,48409641,38503792,29940128,22577125,16394229,11410443,7582345,7582346,7686022,11422644,7592569,4802740,4802741,7592571,6260327,4894220,2949489,2949488,4351973,4351972,6927432,4895856,2950540,1711171,254245185,4895854,254485519,4273366,2896515,2896513,4804400,7595101,11419035,16395603,11434966,11434969,7735755,7735756,11444535,7610726,4814958,4814956,4815791,2902143,1683591,1683593,2902149,2902273,2901425,2901424,4814506,4815739,7611873,11424776,7612085,7612083,11446130,10347552,6812908,6812906,4894568,4894570,7731631,9955666,6543260,6543262,4803968,2947864,2947861,4273731,6813684,7736314,7736315,11616949,16648918,22877226,30274515,38858997,48777858,38857711,30273295,22876110,16647830,11615801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1827402, s2 = 15294991, dlinesl.size( ) = 2 s1 = 1827402, s2 = 15294991, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1827402, Dl.E( ) = 56, 1.69e-05 seconds used appending s1 = 1827511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6551628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15446663, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13441815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6495043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10152582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10152582, s2 = 3699122, int(edited[s2]) = 0 s1 = 10152582, s2 = 3699122, d1 = 174, d2 = 168 Dl.O(d1) = 21434237,21380808,15440101,10674386,10674387,254732080,4437728,254225711,254225709,254501101,10674384,15440096,11058008,11058006,15935756,15965638,11081437,11081436,15957557,22061991,29392480,37957274,257501579,72006727,258111464,74235850,87841007 Dl.O(d2) = 194182939,263916827,194182940,185962477,262837442,154112583,141441690,128076352,114189641,100159258,86196699,72599457,59861785,48470677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10152582, s2 = 3699122, dlinesl.size( ) = 14 s1 = 16336361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16336361, s2 = 14050539, int(edited[s2]) = 0 s1 = 16336361, s2 = 14050539, d1 = 1, d2 = 1 Dl.O(d1) = 40046199,40046200,50065466,61543523,258262524,61543522,74319755,87922822,101896666,115942738,271860825,143173473,155727666,167362380,177859515,177859514,167362378,155727665,262343204,170559932,170559931,159221445,146847727,259263706,119714996,133589800,146847728,159221446,170559934,180691649,170559936,159221447,159221448,261616476,189589439,197278025,203836624,209311751,213802669,213766304,209272196,203794048,197232427,197232423,197232424,189539734,180636649,180636650,180636648,170500023,170500022,159157657,146782213,133524364,133524363,146782211,133524365,133524362,119650896,105413710,91191528,77272081,259013141,77272080,91191526,258386247,52275606,41936707,41936706,257389269,256627799,28035650,28035649,32995857,25271612,18699522,13306448,9087960,9087961,13306449,18699524,25271614,25271613,32995855,41936705,32995853,32995854,41181855,32365941,24749176,24749175,32365940,34249587,32365950,24749181,18275583,12971058,12971057,18275581,24749177,32365943,41181857,51367900,63048890,76031626,63048884,63048883,63048882,258344715,63048885,51367896,41181850,32365935,24749172,18275577,18275576,24749169,32365931,27977830,20814295,20814294,27977829,36436519,36436516,36436517,46289496,57634068,70324831,70324829,57634067,57634066,70324826,83850540,79260490,65898412,53831350,53831349,270069301,93387217,97709927,106599824,106599823,120848703,134646787,147778122,160041977,160041974,160041975,170749458,159401969,147021200,133773118,133773119,119904316,105668352,91444929,77515062,64349515,52479322,42124273,33167886,33167887,42124274,268693194,28697527,21445798,21445797,28697524,255544801,17247763,18076976,18076975,21445883,17247845,12129610,8160935,5231559,3192773,1868716,1868713,3192761,5231536,8160895,12129538,17247755,23556879,31038962,23556875,17247751,255544799,29405085,22074522,22074521,29405084,30098297,256974469,59984240,49144667,39218171,30621045,23199385,16930364,11849322,7919681,5035147,5035148,7919685,11849329,16930374,23199404,30621026,268493301,255263503,11849257,11849258,9203512,6025518,6025519,9203514,13458474,18885856,23199409,23199410,23199221,23199222,25489744,25489746,30621062,256674830,11139315,11139316,16042657,22164931,29504565,30621031,23199374,16930354,11849317,7919677,7919676,11849316,16930352,23199372,23199300,16930281,11849262,7919648,5035128,254251975,1776143,3048688,3048691,5035131,7919652,268100159,23199307,30620965,30620881,23199223,16930226,11849230,11849229,16930222,11849334,7919689,5035150,267900203,11849331,16930331,11849302,7919666,7919665,255522879,29504562,29504563,255522861,16930257,11849245,11849246,16930260,23199271,30620933,23199291,23199290,23199209,16930210,16930211,11849277,11849276,11849225,11849226,16930209,23199208,23199273,16930261,16930238,11849236,7919633,5035120,254251973,1012652,1012653,1776142,3048687,5035125,7919644,11849256,16930273,11849267,11849266,16930285,23199309,30620970,23199350,16930323,16930324,16930296,11849275,11849274,16930212,23199211,30620871,23199284,23199283,23199276,23199275,23199318,16930301,11849279,11849278,16930300,23199240,23199239,16930236,16930235,255968751,23199325,23199288,255968749,23199237,23199352,23199351,30621011,30621017,30620952,30620951,30620974,23199314,23199313,30620973,31804399,30620948,23199287,23199286,30620945,23199338,16930317,11849290,7919661,5035137,5035136,7919660,11849286,16930312,21542798,28810515,30620884,23199231,16930229,16930230,23199234,30620886,30620984,39218116,47258436,39218167,30621043,30621044,39218169,49144665,53759770,53759767,43244425,34154339,26286279,26286280,26286278,19564168,268162087,9629942,6328159,3968393,3968392,6328158,9629940,14012767,19564167,26286276,21882688,15806740,10953184,7691969,5552784,3437268,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7748679,4907289,4907292,7594205,7594206,11424428,16408007,11614988,254548635,2951046,2951045,2954627,4902239,7328859,7328858,7688106,4864961,2931510,2931509,4864959,254794693,16573167,254801291,7746482,7598338,4806576,4806577,7598340,5967038,5967036,9119372,7611010,4815135,4815134,7611008,255483137,16394546,11410849,7582698,7582696,11410864,7595918,7595919,11426877,11608276,7728095,4891823,4891824,254786613,4812348,254241567,254125501,302221,302220,302246,539298,956942,1682591,956835,956836,1682596,2900145,4812180,4812451,4812452,7606882,11439584,16423508,22606527,29971596,256738984,33635567,25832732,25832734,256635733,256882627,37447167,47353735,58741338,71471068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,255889068,17128991,12037817,8092869,5184890,5184891,8092874,12037835,17129020,23401421,30829298,36758794,28263344,28263343,28263416,21584401,21584399,28857484,37398373,46644444,36758769,36758771,46643855,36758310,28263054,28263053,36758306,31525854,31525853,36758901,30068058,22689148,22689149,22689167,22689168,30068077,38643277,48558458,59950586,60765457,60765458,72484491,61423466,59103166,47705089,39812479,31130285,28857450,28857448,37398333,47307670,50226654,49362190,49362189,50231797,46644634,46644633,49362373,49362490,49362236,39432960,30829095,23401304,23401305,30829096,39432964,46643840,46643841,58017244,49362203,39432913,30829062,23401286,17128898,17128896,23401281,30829050,39432893,39432998,39433175,30829270,30829271,39433181,47307738,47307737,38056661,38056660,31518703,31518701,38466369,38466368 Dl.O(d2) = 40046199,40046200,50065466,61543523,258262524,61543522,74319755,87922822,101896666,115942738,271860825,143173473,155727666,167362380,177859515,177859514,167362378,155727665,262343204,170559932,170559931,159221445,146847727,259263706,119714996,133589800,146847728,159221446,170559934,180691649,170559936,159221447,159221448,261616476,189589439,197278025,203836624,209311751,213802669,213766304,209272196,203794048,197232427,197232423,197232424,189539734,180636649,180636650,180636648,170500023,170500022,159157657,146782213,133524364,133524363,146782211,133524365,133524362,119650896,105413710,91191528,77272081,259013141,77272080,91191526,258386247,52275606,41936707,41936706,257389269,256627799,28035650,28035649,32995857,25271612,18699522,13306448,9087960,9087961,13306449,18699524,25271614,25271613,32995855,41936705,32995853,32995854,41181855,32365941,24749176,24749175,32365940,34249587,32365950,24749181,18275583,12971058,12971057,18275581,24749177,32365943,41181857,51367900,63048890,76031626,63048884,63048883,63048882,258344715,63048885,51367896,41181850,32365935,24749172,18275577,18275576,24749169,32365931,27977830,20814295,20814294,27977829,36436519,36436516,36436517,46289496,57634068,70324831,70324829,57634067,57634066,70324826,83850540,79260490,65898412,53831350,53831349,270069301,93387217,97709927,106599824,106599823,120848703,134646787,147778122,160041977,160041974,160041975,170749458,159401969,147021200,133773118,133773119,119904316,105668352,91444929,77515062,64349515,52479322,42124273,33167886,33167887,42124274,268693194,28697527,21445798,21445797,28697524,255544801,17247763,18076976,18076975,21445883,17247845,12129610,8160935,5231559,3192773,1868716,1868713,3192761,5231536,8160895,12129538,17247755,23556879,31038962,23556875,17247751,255544799,29405085,22074522,22074521,29405084,30098297,256974469,59984240,49144667,39218171,30621045,23199385,16930364,11849322,7919681,5035147,5035148,7919685,11849329,16930374,23199404,30621026,268493301,255263503,11849257,11849258,9203512,6025518,6025519,9203514,13458474,18885856,23199409,23199410,23199221,23199222,25489744,25489746,30621062,256674830,11139315,11139316,16042657,22164931,29504565,30621031,23199374,16930354,11849317,7919677,7919676,11849316,16930352,23199372,23199300,16930281,11849262,7919648,5035128,254251975,1776143,3048688,3048691,5035131,7919652,268100159,23199307,30620965,30620881,23199223,16930226,11849230,11849229,16930222,11849334,7919689,5035150,267900203,11849331,16930331,11849302,7919666,7919665,255522879,29504562,29504563,255522861,16930257,11849245,11849246,16930260,23199271,30620933,23199291,23199290,23199209,16930210,16930211,11849277,11849276,11849225,11849226,16930209,23199208,23199273,16930261,16930238,11849236,7919633,5035120,254251973,1012652,1012653,1776142,3048687,5035125,7919644,11849256,16930273,11849267,11849266,16930285,23199309,30620970,23199350,16930323,16930324,16930296,11849275,11849274,16930212,23199211,30620871,23199284,23199283,23199276,23199275,23199318,16930301,11849279,11849278,16930300,23199240,23199239,16930236,16930235,255968751,23199325,23199288,255968749,23199237,23199352,23199351,30621011,30621017,30620952,30620951,30620974,23199314,23199313,30620973,31804399,30620948,23199287,23199286,30620945,23199338,16930317,11849290,7919661,5035137,5035136,7919660,11849286,16930312,21542798,28810515,30620884,23199231,16930229,16930230,23199234,30620886,30620984,39218116,47258436,39218167,30621043,30621044,39218169,49144665,53759770,53759767,43244425,34154339,26286279,26286280,26286278,19564168,268162087,9629942,6328159,3968393,3968392,6328158,9629940,14012767,19564167,26286276,21882688,15806740,10953184,7691969,5552784,3437268,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7748679,4907289,4907292,7594205,7594206,11424428,16408007,11614988,254548635,2951046,2951045,2954627,4902239,7328859,7328858,7688106,4864961,2931510,2931509,4864959,254794693,16573167,254801291,7746482,7598338,4806576,4806577,7598340,5967038,5967036,9119372,7611010,4815135,4815134,7611008,255483137,16394546,11410849,7582698,7582696,11410864,7595918,7595919,11426877,11608276,7728095,4891823,4891824,254786613,4812348,254241567,254125501,302221,302220,302246,539298,956942,1682591,956835,956836,1682596,2900145,4812180,4812451,4812452,7606882,11439584,16423508,22606527,29971596,256738984,33635567,25832732,25832734,256635733,256882627,37447167,47353735,58741338,71471068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,255889068,17128991,12037817,8092869,5184890,5184891,8092874,12037835,17129020,23401421,30829298,36758794,28263344,28263343,28263416,21584401,21584399,28857484,37398373,46644444,36758769,36758771,46643855,36758310,28263054,28263053,36758306,31525854,31525853,36758901,30068058,22689148,22689149,22689167,22689168,30068077,38643277,48558458,59950586,60765457,60765458,72484491,61423466,59103166,47705089,39812479,31130285,28857450,28857448,37398333,47307670,50226654,49362190,49362189,50231797,46644634,46644633,49362373,49362490,49362236,39432960,30829095,23401304,23401305,30829096,39432964,46643840,46643841,58017244,49362203,39432913,30829062,23401286,17128898,17128896,23401281,30829050,39432893,39432998,39433175,30829270,30829271,39433181,47307738,47307737,38056661,38056660,31518703,31518701,38466369,38466368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16336361, s2 = 14050539, dlinesl.size( ) = 2 s1 = 16336361, s2 = 14050539, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16336361, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 16024516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1487595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1487595, s2 = 3682003, int(edited[s2]) = 0 s1 = 1487595, s2 = 3682003, d1 = 0, d2 = 6 Dl.O(d1) = 38082282 Dl.O(d2) = 127535851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1487595, s2 = 3682003, dlinesl.size( ) = 2 s1 = 1487595, s2 = 3682003, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1487595, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9362850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6701389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6701389, s2 = 14071888, int(edited[s2]) = 0 s1 = 6701389, s2 = 14071888, d1 = 20, d2 = 47 Dl.O(d1) = 257510059 Dl.O(d2) = 441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441965,779091,1353194,1353190,2334680,3898384,6226875,254946559,6297187,254673071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6701389, s2 = 14071888, dlinesl.size( ) = 2 s1 = 6701389, s2 = 14071888, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6701389, Dl.E( ) = 52, 1.91e-05 seconds used appending s1 = 8444138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123490, s2 = 10490247, int(edited[s2]) = 0 s1 = 11123490, s2 = 10490247, d1 = 44, d2 = 39 Dl.O(d1) = 59408673,256931561,29549774 Dl.O(d2) = 3227453,3227451,2761396,1600779,910157,513444,287992,287991,513439,910144,531750,298194,165141,90879,50053,50051,90817,165011,297974,531332,942013,1655611,1873981,3200786,3257593,3258304,5236205,5236207,3255389,1912253,1092075,613104,340959,340957,613098,1092059,1910239,1910240,254395933,4618786,7316642,8202668,11724015,7826601,7826602,8180456,8180457,12150637,12151175,8181190,8181189,8194115,11042810,12118241,12118240,15578044,15578045,17276777,17271753,12150800,12150799,17271752,17360521,12484095,12484096,255469749,15908860,11030141,8564932,5561379,254613449,12617646,17654971,17299803,17284290,12163490,12163491,17284294,17297206,17821070,17361055,12231381,8259077,8227259,5297936,3248807,1907307,1907308,3248812,3237670,3237671,4615250,2779135,2779136,3237273,1899203,1084078,608860,608861,1084082,1899209,3237278,5284649,8213841,254838879,5299445,5299446,5241337,254579151,11034704,8210027,8210026,10799154,12184023,8215158,5285676,3237967,3222299,3222298,5267624,3264575,1918746,1918745,1918944,1096135,615355,615356,1096138,1918949,1904167,1087049,610359,339521,186397,186395,339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614142,614141,1093949,1915414,3217167,3217169,5261887,7819931,4962053,4962052,7819928,11718205,16765234,11717941,11042867,254520255,2781530,2781532,4619414,7317444,11042875,8348793,8348794,7895966,6978885,6978884,10579378,11026107,7300209,4604700,2771066,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222872,5222871,7319384,7319385,11044552,15921816,15925625,255443375,11036734,7311108,7311109,11036730,11036729,255066897,11013968,10725194,7086100,4461467,3220401,3220400,5265506,8195472,11041149,11041148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123490, s2 = 10490247, dlinesl.size( ) = 2 s1 = 11123490, s2 = 10490247, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11123490, Dl.E( ) = 76, 2.38e-05 seconds used appending s1 = 8307472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8307472, s2 = 8186481, int(edited[s2]) = 0 s1 = 8307472, s2 = 8186481, d1 = 9, d2 = 14 Dl.O(d1) = 257610241 Dl.O(d2) = 30814907,23385721,23385720,30814904,39420089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8307472, s2 = 8186481, dlinesl.size( ) = 32 s1 = 1843632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8216065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13280469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091689, s2 = 6622658, int(edited[s2]) = 0 s1 = 14091689, s2 = 6622658, d1 = 3, d2 = 13 Dl.O(d1) = 88166683 Dl.O(d2) = 48128922,38218845,254919944,18824189,18824190,25415447,19835307,14209694,9768536,6422610,6422609,9768526,9768527,14209675,19835271,26648573,256640585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091689, s2 = 6622658, dlinesl.size( ) = 2 s1 = 14091689, s2 = 6622658, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14091689, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 16349369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16169527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16169527, s2 = 15919141, int(edited[s2]) = 0 s1 = 16169527, s2 = 15919141, d1 = 33, d2 = 26 Dl.O(d1) = 47655628,256361103,21863165,15790303,10939828,7238797,4563554,4563555,7238800,10939832,8310792,8310793,12304489,8310761,8263148,5333449,5333450,8266172,12240640,16173632,11241078,11241079,12242388,12242389,12546714,10939827,7798995,4945647,4945648,7798996,11693742,255509493,16168430,16168429,12312236,11237083,7458039,4712640,4712641,7458040,8548031,5546429,3432083,3432084,4714564,2840171,2840172,4714572,4709400,3414677,3414676,5528769,8530746,7453774,4709476,4709475,4708685,2836577,2836576,2837919,1646313,936138,527550,295570,295569,527547,936136,936264,527618,527617,936270,1646578,1646579,2838413,4711630,7456660,11235599,7900849,7900850,254609743,3414152,2015127,1152646,646603,358798,196495,196496,358800,527545,267752387,1646300,254353707 Dl.O(d2) = 263076025,125979598,259891921,70733043,58018356,269304045,36759520,28263896,21061522,255805789,10434545,6879014,254327701,1487932,841892,474799,266927,266925,474792,841877,574760,574761,575708,1021757,1780690,1030352,1029737,580242,580246,1029751,1021687,1021684,1020216,574857,321755,321757,571435,571434,1013758,1778171,1798978,1026467,578326,578328,1026478,580128,578875,578874,1027406,1799918,1799919,3068860,3068861,5064608,3090996,2714847,1800590,1027623,1026599,1024130,577086,322884,178447,178448,322889,577091,1024140,578987,578988,579079,579040,579038,1027690,1024812,1024811,1572725,894204,504477,504479,894210,1572740,1017170,573317,321050,177591,97821,97824,177599,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016683,1029850,1029852,1030248,1777957,3052029,1800772,1800771,3056002,1781018,1015609,1015608,576954,322822,322821,576950,1023899,1794699,3076092,5073117,7972517,11873089,10024351,6588352,4127637,2469104,2469105,267872749,254985907,14567857,255596359,19585137,26310163,34181713,43278212,53803052,65870831,258253880,87827346,74222329,61442511,257062317,255560023,12305814,254591495,5363241,8311810,255171335,256010879,39444315,30840082,255535703,12042328,12042155,8095573,8095574,255149157,23410474,255554440,11170068,7410538,4682498,3040229,1770441,1770443,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376195,254300954,15296461,15310678,10574142,10574143,15310679,21271686,23431560,254113442,25580941,18973260,18973261,18972196,13537069,13537070,14446374,12393052,8375117,5405109,3792974,3792972,6062296,9256442,12057855,8107184,5194202,5194204,8107191,9260324,6065258,6065259,3794915,2274619,2274622,3797536,4377817,4377820,6968407,8374326,5404562,5404558,8374315,12392015,9246881,9246882,13513914,17543899,17549686,12379444,12379446,17549693,23895560,31390640,25556481,25556482,33318507,38876696,38876695,40329449,268499848,61840689,74632878,88263199,102261374,259056438,258661457,58217989,46850152,256309701,21253324,15288527,15288526,15288536,10553865,6960707,6960706,10553862,10356343,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942955,6061137,6061138,9254717,13523301,15698471,18959201,18959200,21134029,28347209,28480419,21262621,21262622,255531627,15258347,10527041,6942763,4363260,2614824,1510018,1510022,2614837,4363285,6942819,4376706,2621506,2621505,4376700,6966511,10548645,7842546,7842547,11746446,12147482,8177093,8177089,12147477,17268199,23579996,18955923,18955922,25566641,33327211,42307658,52694568,64595224,64771737,52851911,42447587,256378306,64771736,258110644,91891478,106086600,120286971,134117979,147329844,141096897,127743196,113869946,99852371,259286704,59570958,258035302,38275526,38275527,48184934,53719233,59761073,72495376,86092776,100055137,114081456,127961647,141321268,153991680,165763322,176423968,263558621,201137270,207077253,206807658,200822354,193730639,185461087,175985492,165289264,153493232,140812314,127452226,113576052,99559602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16169527, s2 = 15919141, dlinesl.size( ) = 2 s1 = 16169527, s2 = 15919141, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16169527, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 15558299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13427585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8077007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1853628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16222315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16222315, s2 = 16271690, int(edited[s2]) = 0 s1 = 16222315, s2 = 16271690, d1 = 3, d2 = 59 Dl.O(d1) = 23657515 Dl.O(d2) = 58159655,256331026,60141306,72877874,86473452,86070801,72472621,59737463,48354019,38452152,29895021,22539609,21745535,15694128,254387962,254179588,16458130,16458131,22649341,17917208,17917210,17606071,12427518,8399432,8399431,12427516,12075604,8120204,8120203,8622186,12692163,12696872,11604494,7725059,4889743,4889744,4889802,2946709,1709019,971492,547164,306428,306426,254170439,254365851,7725328,11604863,8121265,8121266,12077316,16636030,17920645,12697175,12697174,17907704,12696927,8625953,8625954,12075704,11604960,7725380,4889913,2946776,2946778,4889829,7725220,11604717,16636176,12693099,8622853,5606238,3481220,3481221,5606240,8617458,254829566,24289294,17920376,12696958,12696957,12693096,12693097,16636173,22863233,17176788,12077252,12077253,17176791,23454228,30886245,39155237,31823692,24306906,24306907,26379238,24298556,24298555,31814041,24306858,254194358,12698716,17922647,24306861,24306865,23140320,23140319,23140325,30557653,24306970,17922775,17922774,24306969,27092325,27092324,35181034,31823737,24306965,254422126,12698841,17375635,16480721,16480722,22079247,22079248,22417055,16251761,16251760,16480730,16480731,15199457,10483392,10483393,10483400,6911678,6911676,8268825,5335390,3279656,3279655,254588283,255073568,254764006,11088159,7353456,7353457,11088151,7353452,7353451,11088145,15972413,11087099,7352574,7352575,11087101,15972419,17922792,14220298,9776247,7341406,6429443,6429446,4668027,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921459,22070744,22070742,29401218,37940717,37940718,29391370,22060859,22060861,15956516,15956515,15956304,15956306,22060627,29390853,29392851,29392850,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16222315, s2 = 16271690, dlinesl.size( ) = 2 s1 = 16222315, s2 = 16271690, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16222315, Dl.E( ) = 60, 2.41e-05 seconds used appending s1 = 14520830, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 836293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 836293, s2 = 6885093, int(edited[s2]) = 0 s1 = 836293, s2 = 6885093, d1 = 0, d2 = 77 Dl.O(d1) = 21546366,21546367,256336143,47263206,48255733 Dl.O(d2) = 259649679 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1858135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1504516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1504516, s2 = 15452634, int(edited[s2]) = 0 s1 = 1504516, s2 = 15452634, d1 = 26, d2 = 33 Dl.O(d1) = 38383750,38383751,38383794,38384466,38384465 Dl.O(d2) = 6742662,10260819,10260999,254480209,4225164,6742768,5683341,5683340,8729793,12837698,18105094,24538616,32115972,40889734,51027096,58658974,47267264,37357291,37357289,28817657,28817656,28817663,28817662,28817678,37357319,47267285,58658979,47267271,37357303,37357305,47267273,58658982,71393892,67819873,55478064,55478063,46295365,36442395,36442393,46295361,57639594,70329796,71026050,257432012,46295355,268598081,27983302,256806425,40889723,256066461,24538607,24538612,32115969,40889732,51027095,47267268,37357293,28817660,21548566,15530456,15530457,21548568,28817667,37357298,46943901,46943894,37064774,37064773,46943891,58310379,71026040,81286595,67819870,67819869,57639590,46295358,46295357,57639589,70329790,77413867,77413866,71026046,58310385,269293347,46295350,57639583,70329782,75595516,62653182,51027091,40889729,32115967,32115966,40889725,51027090,57639587,57639586,61839867,61839868,61839883,50355684,40328517,37064784,28563156,268205808,15362857,21336434,28563154,37064778,46943897,58310382,71026043,84590375,77596360,77413870,77413871,88262473,97713787,97713788,97713785,97713784,84590377,84590379,98515554,104464664,90317216,90317217,97713781,259797176,85606096,72017387,59280353,59280354,61839878,50355676,40328513,31638836,31638835,40328509,50355674,258042000,40328519,31638847,268261617,17768052,256037427,24131565,24131563,31638867,40328557,40328571,269409467,64427576,64427572,61839860,61839859,74632096,88262476,102260627,102260637,102260647,88262496,74632130,74632131,271588916,85606098,72017398,59280374,59280375,72017394,269334717,37965174,37965175,47267280,47267279,52408617,52652723,61839865,50355758,40328583,31638891,24131592,17768069,17768067,24131586,31638843,256037431,17768063,17768064,24131578,31638860,269004377,59969423,52553427,42194729,33234592,25485690,25485691,33234595,42194734,52553431,61839844,50355647,40328484,40328486,50355649,61839848,72017403,257834500,47883808,47883827,47883821,37965185,29400703,22070184,22070185,28817675,37357313,40328535,40328536,50355714,61839909,257593252,31638886,24131584,24131585,31638875,40328562,40328581,40328550,40328552,50355743,50355721,50355720,61839902,61839905,258906811,74632157,61839958,257091975,40328610,257675079,257553959,48577763,50355698,50355697,61839895,72706526,59969426,59969427,72706529,72017382,72017381,61839850,50355655,40328489,40328488,40328606,31638904,24131603,24131601,31638902,40328602,38661759,31359085,23865124,23865123,31359082,38661805,38661806,48577778,59969475,72706509,72706517,258786575,258162913,256973249,30084577,30084578,38661799,48577766,59969459,72706560,72706569,74632112,74632111,258162907,48577683,38661750,257553955,59969457,59969456,72706558,72706469,72706468,72706455,72706456,86303513,100265632,88262485,74632118,61839897,61839898,71450251,61537146,61537147,72706577,59969470,59969469,72706574,86303599,86851599,73238815,73238816,72706523,72706522,72706506,72706505,86303554,74313718,61536923,61536924,74313721,86303549,72706503,59969402,48577713,48577712,59969374,48577691,38661752,38661751,48577688,59969371,72706466,86303522,94466708,87917244,74313677,74313678,87917245,87917286,86303508,86303509,74313725,74313726,80272277,80272278,87917293,88262487,88262488,101891401,100265683,86303596,86303597,100265686,100265649,86303537,72706487,59969392,48577704,38661763,38661764,48577708,59969397,72706495,86303544,100265657,101007696,101007694,259322704,74313698,72706498,72706497,258696198,100265652,86303594,72706567,72706566,70354390,70354389,70354387,70354385,61536907,50058474,50058475,61536910,74313709,87917267,87917414,74313891,74313890,87917411,80272281,66842254,54582504,43837139,43837138,40039080,40039081,50058504,61536933,61536887,58622873,47229945,47229948,50058460,40039053,31359074,31359075,40039055,50058462,61536897,74313696,87917256,101891409,259934074,86303593,260028489,126667372,112810345,98819125,87917261,87917262,87917264,87917263,86851614,73238833,257234362,100832516,114882947,258443600,86851615,73238835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8077827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8060710, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6555085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1175046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1175046, s2 = 15783446, int(edited[s2]) = 0 s1 = 1175046, s2 = 15783446, d1 = 0, d2 = 39 Dl.O(d1) = 29888077,29888078,38444236 Dl.O(d2) = 265395689,226592043,228414451,230015032,231351785,229923875,228314701,226480970,224375782,221951902,264983491,211743139,206795721,200807887,193712423,185437072,175953858,165251529,153451880,140771501,127415436,113544823,99533582,270316079,59263954,47868395,47868394,258110893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1175046, s2 = 15783446, dlinesl.size( ) = 2 s1 = 1175046, s2 = 15783446, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1175046, Dl.E( ) = 40, 1.38e-05 seconds used appending s1 = 14117843, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14548039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14548039, s2 = 3180294, int(edited[s2]) = 0 s1 = 14548039, s2 = 3180294, d1 = 35, d2 = 17 Dl.O(d1) = 40355460,31660491,24150039,24150038,31660490,40355457,269410817,55332344,44486232,257312619,67671876,81137876,95195099,108688602,95195100,270634469,80346965,270899308,108688606,95195092,94401382,80346980,66920583,54663887,54663888,66920584 Dl.O(d2) = 100069991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14548039, s2 = 3180294, dlinesl.size( ) = 2 s1 = 14548039, s2 = 3180294, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14548039, Dl.E( ) = 44, 1.91e-05 seconds used appending s1 = 11121214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14068680, s2 = 2220035, int(edited[s2]) = 0 s1 = 14068680, s2 = 2220035, d1 = 7, d2 = 7 Dl.O(d1) = 17140183,23416115,30846272,39450510,49378644,60779850,73527765,87146651,101144768,109869770,95665636,259810623,95206182,81148888,70501210,57800349,57800350,60194819,60194820,72934124,62021155,50529161,50529160,62021150,57800341,57800342,49442333,49442334,60844267,66858970,67682796,55342985,55342984,61693617,72320184,61471826,49994386,268679371,31303305,39978193,49994381,61471802,61471801,59346549,53126806,53126807,44750111,35323941,255815228,30414232,256350351,29010132,37556318,35038869,26958965,26958966,35038873,44413257,46268577,36415885,27957780,20796194,20796193,18400402,18400403,24904134,268724495,47836619,59233770,66918812,270338848,66918815,66918814,61417476,268949464,39921862,49939591,61417477,74195929,87799170,101771246,108686110,94399208,94399209,260379041,132035416,127861847,118215088,113516037,113516038,114106262,114106263,118215091,104055491,104055492,91429698,77498455,77498456,91429699,104055483,89925819,89925818,104055481,260153524,259539202,78875766,76119655,76119656,76119654,63114113,257147731,32397223,41220690,51417299,63114115,76119661,77498439,74143529,74143530,77498451,77498450,74195925,74195926,77498444,64334046,52466405,52466406,52466413,42113793,33159391,25418373,18826624,18826626,25418370,268744793,44771346,35351650,35351649,44771339,44771338,55680218,68078994,68078992,68078991,55680223,44771341,44771342,55680225,68079005,259180261,258868931,61362920,49881374,49881373,61362918,68078998,81568887,74143519,74143520,61362929,61362928,74143522,68079009,68079008,81568891,95256233,81200216,74477945,61695545,50213765,40191613,31506261,31506262,40191614,50213767,61695548,58640100,47246947,47246946,258067167,61695533,257429774,40191605,50213754,61695538,74477940,61695555,61695556,58640101,47246949,37337094,28799271,21533246,21533245,28799269,37337089,257456225,71376383,84952070,98877688,99321757,99321756,102075771,112711020,98715707,84788052,71219241,58497384,58497383,71219240,84788051,269297052,59045774,71787447,85376969,99086594,85164086,71598618,58877965,47497927,47497926,58877964,71598617,85164084,97924848,85164072,85164073,98715708,97924852,84054128,84054127,97924850,99086596,99086597,92987330,78875773,78875772,71598628,58877971,58877948,58877947,71598599,257474461,47497932,47497922,37593695,37593694,47497920,58877955,58877967,71598603,71598604,77277682,77277683,71598584,71598583,71598582,58877936,58877935,71598579,85164049,85164059,71598592,71598591,85164058,99086578,92987320,85164056,71598589,71598590,71598593,85164061,99086569,86398117,86398118,78875748,65540550,65540552,65540549,53516505,43038234,33980857,33980858,43038236,53516509,65540560,65540597,58877959,58877960,71598596,58877945,58877946,71598598,85164063,78875751,78875750,65540563,53516515,43038244,43038245,269555803,65540588,53516542,43038266,33980880,26141342,26141341,33980878,43038262,53516537,43038279,33980894,26141353,19444441,13914147,9549720,9549719,13914145,19444436,26141344,33980882,33980865,33980864,43038242,53516512,43038239,43038237,53516510,65540562,58877998,58877925,256894822,33980863,33980861,33980862,33980891,43038275,53516553,47497946,37593713,37593712,47497943,58877924,256894817,29046022,21752910,15699456,10868062,255052677,21752912,29046023,37593685,37593709,47497938,58877974,48427379,38519761,38519762,48427381,47679550,47679551,59079591,71820734,71820733,269863936,269863938,86146926,72548603,59813361,48427373,38519754,29954941,29954940,38519752,48427369,59813354,258775215,72548599,270331855,100112884,98940533,98940532,100112887,100112888,86146919,72548592,72548593,86146914,72548589,72548590,86146916,100112886,99501737,99501736,113512921,100112881,100112880,260618723,140135600,127382871,113512925,99501740,99501741,113512927,102337527,88341078,74713212,61919998,50430172,50430173,61920000,74713218,74713224,71967820,59229976,59229975,61919975,61920005,74713225,88341085,102337511,88341050,74713185,61919970,50430148,50430147,61919968,70890832,70890833,61919980,61919981,50430164,50430163,50430159,50430160,61919987,74713180,74713179,87094559,73476498,73476497,74713196,88341062,259508348,88341075,102337519,107792239,93369724,79241614,65877107,53808908,43283946,34187056,34187057,43283947,53808909,65877109,79241616,93369714,79241606,65877103,53808905,53808906,65877104,79241608,93369717,99086600,85164112,71598640,71598639,85164110,85164103,71598635,58877984,258084395,85164105,99086605,107792240,106024433,91830262,270297372,113074818,100095083,86127573,72527999,72527998,72527991,59792709,59792708,72527988,85164114,71598641,71598637,58877987,47497959,37593726,29046059,29046060,37593728,47497963,58877993,48407783,48407784,48407794,38501956,38501957,48407796,47497964,47497965,58877991,48407790,48407789,255436528,22575480,254344818,7581157,7581156,254344816,20174819,27069736,29938374,22575474,22575473,25458467,22575467,22575469,29938370,255436520,33205887,25458459,25458460,33205889,42166032,42166026,42166027,52524441,52524446,42166029,33205881,268627452,33205885,256644603,52524443,256644601,33205878,33205869,33205870,33205883,268746275,25458466,18858975,18858974,25458464,33205875,25458447,18858965,13436734,13436735,256128877,256894821,29046056,21752933,15699468,15699469,21752935,29046058,32120939,32120940,40895032,47497953,42166033,42166034,47497969,47497970,47497955,47497954,47497956,47497957,40895030,32120937,24542986,18108730,18108729,24542984,32120934,40895027,37910306,37910307,37910312,29341299,22009463,15907969,11029253,7303611,7303610,11029251,15907966,22009459,29341291,37910297,37910302,32120944,32120945,268937159,29341288,29341283,22009451,22009452,29341286,37910292,40895050,257127515,40895041,32120955 Dl.O(d2) = 17140183,23416115,30846272,39450510,49378644,60779850,73527765,87146651,101144768,109869770,95665636,259810623,95206182,81148888,70501210,57800349,57800350,60194819,60194820,72934124,62021155,50529161,50529160,62021150,57800341,57800342,49442333,49442334,60844267,66858970,67682796,55342985,55342984,61693617,72320184,61471826,49994386,268679371,31303305,39978193,49994381,61471802,61471801,59346549,53126806,53126807,44750111,35323941,255815228,30414232,256350351,29010132,37556318,35038869,26958965,26958966,35038873,44413257,46268577,36415885,27957780,20796194,20796193,18400402,18400403,24904134,268724495,47836619,59233770,66918812,270338848,66918815,66918814,61417476,268949464,39921862,49939591,61417477,74195929,87799170,101771246,108686110,94399208,94399209,260379041,132035416,127861847,118215088,113516037,113516038,114106262,114106263,118215091,104055491,104055492,91429698,77498455,77498456,91429699,104055483,89925819,89925818,104055481,260153524,259539202,78875766,76119655,76119656,76119654,63114113,257147731,32397223,41220690,51417299,63114115,76119661,77498439,74143529,74143530,77498451,77498450,74195925,74195926,77498444,64334046,52466405,52466406,52466413,42113793,33159391,25418373,18826624,18826626,25418370,268744793,44771346,35351650,35351649,44771339,44771338,55680218,68078994,68078992,68078991,55680223,44771341,44771342,55680225,68079005,259180261,258868931,61362920,49881374,49881373,61362918,68078998,81568887,74143519,74143520,61362929,61362928,74143522,68079009,68079008,81568891,95256233,81200216,74477945,61695545,50213765,40191613,31506261,31506262,40191614,50213767,61695548,58640100,47246947,47246946,258067167,61695533,257429774,40191605,50213754,61695538,74477940,61695555,61695556,58640101,47246949,37337094,28799271,21533246,21533245,28799269,37337089,257456225,71376383,84952070,98877688,99321757,99321756,102075771,112711020,98715707,84788052,71219241,58497384,58497383,71219240,84788051,269297052,59045774,71787447,85376969,99086594,85164086,71598618,58877965,47497927,47497926,58877964,71598617,85164084,97924848,85164072,85164073,98715708,97924852,84054128,84054127,97924850,99086596,99086597,92987330,78875773,78875772,71598628,58877971,58877948,58877947,71598599,257474461,47497932,47497922,37593695,37593694,47497920,58877955,58877967,71598603,71598604,77277682,77277683,71598584,71598583,71598582,58877936,58877935,71598579,85164049,85164059,71598592,71598591,85164058,99086578,92987320,85164056,71598589,71598590,71598593,85164061,99086569,86398117,86398118,78875748,65540550,65540552,65540549,53516505,43038234,33980857,33980858,43038236,53516509,65540560,65540597,58877959,58877960,71598596,58877945,58877946,71598598,85164063,78875751,78875750,65540563,53516515,43038244,43038245,269555803,65540588,53516542,43038266,33980880,26141342,26141341,33980878,43038262,53516537,43038279,33980894,26141353,19444441,13914147,9549720,9549719,13914145,19444436,26141344,33980882,33980865,33980864,43038242,53516512,43038239,43038237,53516510,65540562,58877998,58877925,256894822,33980863,33980861,33980862,33980891,43038275,53516553,47497946,37593713,37593712,47497943,58877924,256894817,29046022,21752910,15699456,10868062,255052677,21752912,29046023,37593685,37593709,47497938,58877974,48427379,38519761,38519762,48427381,47679550,47679551,59079591,71820734,71820733,269863936,269863938,86146926,72548603,59813361,48427373,38519754,29954941,29954940,38519752,48427369,59813354,258775215,72548599,270331855,100112884,98940533,98940532,100112887,100112888,86146919,72548592,72548593,86146914,72548589,72548590,86146916,100112886,99501737,99501736,113512921,100112881,100112880,260618723,140135600,127382871,113512925,99501740,99501741,113512927,102337527,88341078,74713212,61919998,50430172,50430173,61920000,74713218,74713224,71967820,59229976,59229975,61919975,61920005,74713225,88341085,102337511,88341050,74713185,61919970,50430148,50430147,61919968,70890832,70890833,61919980,61919981,50430164,50430163,50430159,50430160,61919987,74713180,74713179,87094559,73476498,73476497,74713196,88341062,259508348,88341075,102337519,107792239,93369724,79241614,65877107,53808908,43283946,34187056,34187057,43283947,53808909,65877109,79241616,93369714,79241606,65877103,53808905,53808906,65877104,79241608,93369717,99086600,85164112,71598640,71598639,85164110,85164103,71598635,58877984,258084395,85164105,99086605,107792240,106024433,91830262,270297372,113074818,100095083,86127573,72527999,72527998,72527991,59792709,59792708,72527988,85164114,71598641,71598637,58877987,47497959,37593726,29046059,29046060,37593728,47497963,58877993,48407783,48407784,48407794,38501956,38501957,48407796,47497964,47497965,58877991,48407790,48407789,255436528,22575480,254344818,7581157,7581156,254344816,20174819,27069736,29938374,22575474,22575473,25458467,22575467,22575469,29938370,255436520,33205887,25458459,25458460,33205889,42166032,42166026,42166027,52524441,52524446,42166029,33205881,268627452,33205885,256644603,52524443,256644601,33205878,33205869,33205870,33205883,268746275,25458466,18858975,18858974,25458464,33205875,25458447,18858965,13436734,13436735,256128877,256894821,29046056,21752933,15699468,15699469,21752935,29046058,32120939,32120940,40895032,47497953,42166033,42166034,47497969,47497970,47497955,47497954,47497956,47497957,40895030,32120937,24542986,18108730,18108729,24542984,32120934,40895027,37910306,37910307,37910312,29341299,22009463,15907969,11029253,7303611,7303610,11029251,15907966,22009459,29341291,37910297,37910302,32120944,32120945,268937159,29341288,29341283,22009451,22009452,29341286,37910292,40895050,257127515,40895041,32120955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14068680, s2 = 2220035, dlinesl.size( ) = 2 s1 = 14068680, s2 = 2220035, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14068680, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 1867108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8500363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8500363, s2 = 14863958, int(edited[s2]) = 0 s1 = 8500363, s2 = 14863958, d1 = 19, d2 = 24 Dl.O(d1) = 141505904,128146479,259528808,86263831,257672770 Dl.O(d2) = 48326593,59713428,65479646,53459128,42984314,33930333,26096950,19407677,17774526,17774528,17771538,12576635,8530029,5528137,3414099,3414098,5528133,8530022,12576624,17771513,17801481,17801480,24168986,31325485,31325376,23834640,17495630,12336048,8333700,5378676,3307418,3307417,5378672,8333693,12336033,13654127,19123826,17820045,12616914,12616915,17820046,24188586,31696243,40388948,50422822,61912997,74706323,88333891,102329705,116422166,130258990,143587203,262365789,178182593,187408561,195436405,202302081,208074030,212833307,216724328,219949423,222670771,225007059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8500363, s2 = 14863958, dlinesl.size( ) = 14 s1 = 13226043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2100141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1873251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6684204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6684204, s2 = 3196841, int(edited[s2]) = 0 s1 = 6684204, s2 = 3196841, d1 = 73, d2 = 63 Dl.O(d1) = 257309716,38677631,267947370,16513230,16513231,22718074,30100085,38677636,48594067,59985987,256744368,100283015,114313463,260399376,176615138,186033730,262576412,207197923,263433876,216069354,212080603,207197921,201277922 Dl.O(d2) = 100466788,86508914,256871122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6684204, s2 = 3196841, dlinesl.size( ) = 2 s1 = 6684204, s2 = 3196841, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6684204, Dl.E( ) = 78, 3.89e-05 seconds used appending s1 = 6472321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6708618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6600684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8081065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11285138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285138, s2 = 6567544, int(edited[s2]) = 0 s1 = 11285138, s2 = 6567544, d1 = 36, d2 = 39 Dl.O(d1) = 15071363,10394559,10394560,255372845,11575305,7704738,4876209,4876208,255115143,255939945 Dl.O(d2) = 40477647,268450541,24270284,31277043,30147661,22760587,22760586,256047073,40477649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285138, s2 = 6567544, dlinesl.size( ) = 8 s1 = 1880390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8136238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8136238, s2 = 2236493, int(edited[s2]) = 0 s1 = 8136238, s2 = 2236493, d1 = 24, d2 = 23 Dl.O(d1) = 258797782,38803099 Dl.O(d2) = 256440546,38803098,48723922,60118984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8136238, s2 = 2236493, dlinesl.size( ) = 20 s1 = 7812137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7812137, s2 = 12818999, int(edited[s2]) = 0 s1 = 7812137, s2 = 12818999, d1 = 27, d2 = 52 Dl.O(d1) = 254911028,7720280,4886448,2944436,1707497,970575,970576,1707500,2942849,2942850,1706606,1706609,2942858,4883860,7716155,11591488,255941887 Dl.O(d2) = 178792750,264010225,195828527,195828528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7812137, s2 = 12818999, dlinesl.size( ) = 18 s1 = 1529140, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14562401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14562401, s2 = 8179465, int(edited[s2]) = 0 s1 = 14562401, s2 = 8179465, d1 = 10, d2 = 9 Dl.O(d1) = 49343153,39413574,39413573,49343152,60746267,71582563,258840087,62038955,50547136,40511395,31815225 Dl.O(d2) = 48759286,60153203,72889306,84894298,256549310,84763054,84505658,71151330,59613208,58586988,47195614,37287186,37287187,47195615,58586990,270296161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14562401, s2 = 8179465, dlinesl.size( ) = 2 s1 = 14562401, s2 = 8179465, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14562401, Dl.E( ) = 14, 1.29e-05 seconds used appending s1 = 11232742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8113567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16224803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9107018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9107018, s2 = 14932946, int(edited[s2]) = 0 s1 = 9107018, s2 = 14932946, d1 = 6, d2 = 18 Dl.O(d1) = 685531,254288299,5692434,254888987,12857800,18132881,24574704,32159132,40937384,36912441,28414764,28414763,254786702,31723969,254241604,29055789,30446732,39036062,48957900,60354101,73093485,254786704,73093483,86697715,100671278,114717778,128614581,133512848,119640758,105404443,105404444 Dl.O(d2) = 105404440,105404442,91182294,77263447,64116475,52267509,41928726,32988299,25264814,18693358,13323892,9103767,9103766,9080668,254341754,18692272,25263641,21800279,15740318,12903619,12903618,18192627,24649841,254341760,51197236,62846564,75810073,89592162,103707702,269325764,131689097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9107018, s2 = 14932946, dlinesl.size( ) = 2 s1 = 9107018, s2 = 14932946, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9107018, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 1893346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6451306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11114216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 754730, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2253570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2253570, s2 = 8363171, int(edited[s2]) = 0 s1 = 2253570, s2 = 8363171, d1 = 19, d2 = 16 Dl.O(d1) = 86850892,73238064,60491251,49088027,257590379,60491254,257009681,30561042,23143952,23143951,30561040,39158353,49088024,60491247,258821683,100831758,114882156,272237577,129517481,115632343,101591802,87624513,87624512,101591800,115632338,129517476,261271105 Dl.O(d2) = 49760485,39741769,255995947,23580234,31063873,39741766,49760481,258238077,87624484,101591754,115632286,260697437,115632299,261271099,118048915,118048917,118040851,103898694,103898693,114882307,128778397,142132081,129517331,115632239,101591726,270376103,257628959,49760479,61239606,271656532,271851011,103907045,270467295,41180030,51365917,63046689,51365902,51365906,63046700,76029255,89805963,260212315,261917199,162495300,262098902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2253570, s2 = 8363171, dlinesl.size( ) = 20 s1 = 1625169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1625169, s2 = 11327992, int(edited[s2]) = 0 s1 = 1625169, s2 = 11327992, d1 = 29, d2 = 19 Dl.O(d1) = 41121079,41121080,46408531,46408532,41229802,32405349,24781117,18300186,12989890,12989889,18300183,24781111,32405337,41229793,49175452,268616136,49134193,39207261,30611101,30611100,39207259 Dl.O(d2) = 257617639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1625169, s2 = 11327992, dlinesl.size( ) = 2 s1 = 1625169, s2 = 11327992, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1625169, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 9450872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1903841, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15055931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15055931, s2 = 6061020, int(edited[s2]) = 0 s1 = 15055931, s2 = 6061020, d1 = 67, d2 = 86 Dl.O(d1) = 29525490,22183086,16056358,16056357,13009209,8856919,5772683,3596067 Dl.O(d2) = 240778827,240279469,239741661,274741488,237836219,237075937,236243565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15055931, s2 = 6061020, dlinesl.size( ) = 2 s1 = 15055931, s2 = 6061020, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15055931, Dl.E( ) = 88, 2.69e-05 seconds used appending s1 = 14051291, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14173838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 676839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6607009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6607009, s2 = 14079722, int(edited[s2]) = 0 s1 = 6607009, s2 = 14079722, d1 = 122, d2 = 147 Dl.O(d1) = 256480747,23339433,23339432,30762399,39363672 Dl.O(d2) = 1438180,1438184,817290,817287,1438231,2490519,4166164,6654477,10133553,14735753,257344807,35635973,27457262,27457261,256776601,56200977,68688971,82216548,89471860,89471861,83162776,69633685,69633683,81811311,81364487,260413613,110712386,272128559,261364561,260198279,269990090,24618061,257133959,43193059,53704697,65761808,79118147,85808032,72213838,59476261,59476258,69960958,57312310,46038825,46038828,57312273,55528212,44666070,35704069,35704065,45247128,56282641,68506657,56045167,45250868,35706403,27489957,20490864,14701827,10110535,254477677,2484501,4156442,6638993,10110534,14701842,20490895,27490017,35706494,45251074,56287586,55614122,44717508,44717510,55614129,55609853,55609854,270672327,67936529,81411216,82782904,70057431,69850656,57211743,56973431,45771326,36063536,36063537,36309090,36296211,36296209,36296210,36312469,36312426,27889628,20751837,20751838,27889631,256799479,258561835,270710885,257951529,45239400,35699152,27485793,27485794,35699156,45239406,56272289,68768927,57307182,57307180,69783055,57146732,56358324,45305267,45305266,45903862,57146775,69783136,68937400,56418314,56418313,68865393,56357267,45304563,35742542,27512385,20504705,20504704,14710542,10115797,10115792,14710549,20504832,27512692,35728058,35728056,35438357,35438358,27687176,20673134,14823709,14823707,20666252,14818464,14818463,20666250,14818685,14818684,10191267,10191271,14818725,20666640,27760234,36122513,45854591,57080877,258587727,91264933,259202486,259215121,72958890,60219000,48821902,48821904,40596099,31888015,31888018,40596106,50644838,258304349,77857433,257988761,57484014,64667418,56170217,45157246,35638282,35638281,45157241,45202227,44979082,35511588,35511591,27697265,26244092,26244093,27539415,27691524,27870193,27642048,20605948,20566181,20566177,16540586,11527931,11527928,16540524,20575719,22749640,20706945,14845170,14845166,20706933,20700598,20700595,14841572,14841573,20701192,14841586,255353447,256260809,257371363,258603991,97317848,260384132,259140680,82233047,68749569,56255153,56255154,68749571,76016972,76016971,89793914,83499903,83499904,97407215,262116427,262597881,150982255,138132851,261266508,56471409,45386910,256781051,35786958,27702406,20627760,14792964,10174431,6686635,4190690,2506686,2489077,2489075,2500438,2500441,1442936,818847,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472161,21212127,21212126,27467462,28436898,36935833,35928000,35928003,36282139,36282134,46075454,55978485,68429180,68429183,57508867,57282378,57282380,69238474,61360507,56077992,56077994,68544113,56077913,56077912,68544120,256063072,257946817,257356148,89219364,82115782,269244578,96630105,82651812,69122709,56573847,45461292,35844538,27575796,20773930,14889736,10238212,10238209,14889750,20773971,27449366,27449364,35647319,27596176,20558555,20558554,27596173,35876257,269244581,69188070,75470174,62546719,50941465,40820299,32058334,24491069,18066648,268270955,32058333,40820297,50941461,62546717,56322345,257952843,82348322,81425613,67948244,67948243,270669829,83547454,259856135,270715691,82395243,81893603,68369104,57484904,57484905,70148753,83673141,97552407,111499437,106730438,258806112,257574212,42664867,33635337,257822895,68408173,256773432,256734312,27805639,27805638,35669931,35669933,36936068,35660713,27467350,27467346,35670048,45197484,45422740,45296247,45296246,56347636,258575719,56978568,56978569,69584271,270750885,259120442,259839149,96176260,82148311,68621607,68621609,56302346,56302345,68802966,259326057,272651807,117548464,103419086,99719222,85765112,72170816,59432213,59432211,257707437,40819180,32057729,24490736,24490737,32057732,40819186,50939458,62543611,57269401,46003731,45216540,35683552,35683554,35645692,27448256,20463260,20463258,27448243,27448244,35645128,45166846,45792014,36077837,36077840,35931645,35931641,39061337,48984355,45296268,35736669,35634169,27440173,27440172,33974560,31915861,24383507,20489091,20489089,27487147,35701676,45136846,35623902,255766933,14676120,20452426,268564327,258568913,96176274,110337671,123406466,109202399,94939022,256775084,82715759,75470174,62546719,62546718,75470172,82148316,96176267,110337669,261020019,261529194,138224960,261004265,109639525,259193845,82004375,96047317,109693118,260414397,124255985,271200337,269663905,44968279,257338961,57484904,57484905,70148753,83673141,97552407,111499437,272025351,261472461,120983306,260647006,53116877,258440061,55960472,44998463,35527526,27368400,20408890,14646403,14646401,14680771,10100520,10100519,14686046,10142342,6660850,4170428,4170431,6634313,10102862,14689295,20470515,27457496,35657571,45044810,56021503,56142760,45136848,35623906,27433114,27433115,257344047,68621609,56302346,56302345,68802966,259326057,272651807,117548464,103419086,99719222,85765112,72170816,59432213,48040118,40870621,32098848,24523588,24523589,32098851,40870629,51005674,57272593,57272594,69918892,69220483,56659490,56090614,45366744,35782020,27535814,20518577,20518579,27535794,35430793,27499448,20496606,14705330,10112635,10112631,10111633,10111632,14703588,20493894,27495074,35715198,45264499,56305464,258545957,258567709,68581580,82106826,83651971,70127556,57466287,256800799,255779217,270985830,57466284,70127551,83651960,97533123,111483955,100166038,100166037,96248998,96248999,97127964,83203209,83203210,88538718,74899984,62096734,50598754,40558170,31856859,31856858,40558162,45222994,35861988,35678290,27472568,27472564,27885262,20749047,20606885,14778874,14778875,20606826,20677257,20667612,14819322,14819318,20667593,20733601,27863092,27866464,27866462,36093249,27740252,20653099,14810144,14810149,20368189,14619143,10058341,10058339,14619053,20367714,20368416,27310567,27311438,35447741,27428205,20449193,20449192,27428149,35616674,45126795,56129317,68605083,69543789,57117335,45882503,45882501,56929565,56929567,56411762,56411761,258577679,57320349,46045367,36259577,27852971,27852974,25812734,25812732,33611686,33611761,33611758,42637539,44686738,44686737,55562600,67927815,259175721,109674171,95509242,81470961,67989175,55606326,44712706,44712705,35296646,35296649,44667249,35272224,35272226,28573001,21344790,21344792,28573011,37076334,45601647,36075329,27727670,27727672,36075313,35856008,27582724,20549846,20549842,27582713,27590869,20607358,14865842,14865839,20440420,20557580,20466297,14688465,14688468,20466244,20466241,20474287,20474270,20474196,14691432,14691429,20474234,27462771,256776871,56209344,68497137,259189193,55857374,44916257,35466981,27325156,20378750,14626070,10062326,6610695,4140460,4140457,2513061,1448868,820863,463791,261125,261122,463780,820813,1448715,2512815,4201600,6705081,10204045,14837375,20694732,27803606,271382120,258856102,45733905,36036192,27700740,20626452,14791995,10173798,6686340,4190518,2506554,1445585,1445587,1435597,816057,462088,461987,260479,260480,462008,815795,1434993,2484510,254990077,20491068,27490368,35707265,36282288,36282286,27920334,27914612,27914611,20770131,20768415,20768412,27914304,20768730,20768729,27914802,36349655,36929872,28431215,24994120,18470162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6607009, s2 = 14079722, dlinesl.size( ) = 14 s1 = 11296214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296214, s2 = 13221464, int(edited[s2]) = 0 s1 = 11296214, s2 = 13221464, d1 = 9, d2 = 12 Dl.O(d1) = 257528092,70870340,269774741,46788895,268608547,21192092,15228934,15228935,21192094,23829432,23829431,27032903,20140021,14445974,14445975,255747287,35119863,41965599,33022862,25296660,23019992,255407808,257466803,37493183,28975181,21692694,21692692,28975176,258837507,49302976,39375751,255979645 Dl.O(d2) = 254569455,3124725,3139953,3139954,4755900,4755899,5102214,3104076,1813726,1035688,583517,583516,1035685,1813720,3104062,1813796,1035729,583540,326144,180063,180062,254103497,1035708,1054198,1048996,1048999,1838164,1845852,1054641,1054637,1054643,1054644,1848015,3157287,5175968,5126993,5126992,7925802,8035600,5125363,3114461,3114460,5125361,8035599,8059197,5151210,254257589,1046209,1833161,1833160,3096572,1809294,1033379,1033380,1809296,1033401,582376,325608,179811,98877,254079739,325600,582355,1033348,1809220,3096444,5101252,5102023,3099552,1810972,1034265,1034263,1066567,1066565,1066604,599533,334053,334054,599535,1066605,1869767,3194297,3194313,3140065,1836268,1047885,589594,328962,328961,589588,1047874,589599,589597,1047844,589574,589575,1047851,1836215,3139996,5156398,5156488,5149427,5149425,5124683,5124684,5131568,7521241,4755351,4755347,3103111,3103112,3157703,3157701,3132047,1830969,1044946,1044947,1830972,3132056,5147292,8056257,267987614,5167133,5156759,3140338,3140339,5112977,3105105,1814355,1036051,1036050,1810549,1810548,3098756,5104519,5134669,3121864,3121865,5134672,8044607,5150100,5150099,8058386,8055632,5228379,3190154,3190155,5145044,8054151,254571529,3145371,3137480,3137479,3104165,3104164,5111851,5147699,3132389,1831198,1831197,1045088,1045086,1831219,1052165,591701,329941,329940,591697,1052154,1843849,1846004,1866466,3138287,3103918,1843376,1843377,1833313,1833311,3116937,1821565,1039876,585580,585581,1039879,1821578,1663927,946693,533835,533833,328529,328532,588608,588603,1045907,1035863,1035862,1814039,1848804,1848805,3158496,5177327,8080481,254389757,3190630,5228849,5123876,3113272,3113275,3151219,1843662,1843661,3132882,3132883,1831559,1045283,588326,588325,1045278,1831554,3132909,5111109,3188566,1865878,1865877,3188564,5226747,8032867,5122249,3112058,1818579,1818580,3112069,5122238,5101256,5101237,3096432,1809215,1809218,3096441,3153166,3153165,5168446,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314638,561880,997621,1042762,1042761,254256967,4836178,2914115,254169091,541703,541699,961248,1690439,1037654,1037656,1817318,3109984,4760079,5110932,5110931,4760459,4760458,7527126,11330071,12016900,8076063,5171087,5171088,8076065,8066055,5159766,5159767,8066056,11326892,254175356,7644391,7527091,7527092,8065348,12008282,12008103,8065064,8065063,11986012,8036412,8036411,5175006,5175005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296214, s2 = 13221464, dlinesl.size( ) = 8 s1 = 616169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 616169, s2 = 1619293, int(edited[s2]) = 0 s1 = 616169, s2 = 1619293, d1 = 26, d2 = 9 Dl.O(d1) = 15820552,21899618,24572253,23282200,254521976,12034229,11842195,11842192,12034305,8090324,8090323,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7706825,4877528,2938974,1704266,1704264,2938966,3152866,5170888,8075924,268103047,255981067,39401003 Dl.O(d2) = 40915718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 616169, s2 = 1619293, dlinesl.size( ) = 32 s1 = 189267, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7977863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7977863, s2 = 11160062, int(edited[s2]) = 0 s1 = 7977863, s2 = 11160062, d1 = 62, d2 = 76 Dl.O(d1) = 31287532,23800897,17468071,12634633,12634632,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458126,5574712,8579981,12636906,17844996,24213854,24784591,22787733,255503214,254549414,9693259,9693262,7682440,7682443,7682476,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,7357226,8863324,8863326,12031654,8088612,8088611,11837830,12034040,12034041,16914872,16567292,12027769,8086175,8086176,10454880,15159986,21104857,23178754,29945100,23389528,17117691,12029192,8087095,8087096,8513953,5512540,3399870,2004437,1145779,1145778,2004432,3399864,5512526,8513903,12557569,12557988,12557987,8514143,8514144,12557993,16913597,16913598,16914975,12029170,11145761,7392743,7392745,7911437,11837930,8088050,8088049,12030754,255982531 Dl.O(d2) = 260635269,261785206,260013819,258770611,59750808,48368399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7977863, s2 = 11160062, dlinesl.size( ) = 18 s1 = 16298321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16298321, s2 = 6618864, int(edited[s2]) = 0 s1 = 16298321, s2 = 6618864, d1 = 103, d2 = 97 Dl.O(d1) = 130365203,270296202,256872850,255839938 Dl.O(d2) = 256603617,24901974,32551790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16298321, s2 = 6618864, dlinesl.size( ) = 51 s1 = 1915344, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6561704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2023079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1562444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1562444, s2 = 8732227, int(edited[s2]) = 0 s1 = 1562444, s2 = 8732227, d1 = 0, d2 = 21 Dl.O(d1) = 39502486 Dl.O(d2) = 273150603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1562444, s2 = 8732227, dlinesl.size( ) = 2 s1 = 1562444, s2 = 8732227, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1562444, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 15756790, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16327333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321627, s2 = 15273909, int(edited[s2]) = 0 s1 = 13321627, s2 = 15273909, d1 = 39, d2 = 44 Dl.O(d1) = 23468625,23468628,22666288,22666290,17188173,12085949,12085947,8127564,8127561,12086017,255540521,30902982,39511090 Dl.O(d2) = 84458583,84458582,98367998,112350377,126210510,139585327,262157885,262642111,184612446,192995400,273848193,264719803,265166667,222457963,265146212,216447427,264694614,273680110,177575938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321627, s2 = 15273909, dlinesl.size( ) = 2 s1 = 13321627, s2 = 15273909, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13321627, Dl.E( ) = 52, 1.72e-05 seconds used appending s1 = 14088033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058209, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15242171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11698700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1564849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1564849, s2 = 7906792, int(edited[s2]) = 0 s1 = 1564849, s2 = 7906792, d1 = 4, d2 = 26 Dl.O(d1) = 39698532 Dl.O(d2) = 254871397,5550009,3435101,2031940,1163729,1163730,2031929,254417093,8552279,12244207,12562956,17754833,24115841,22658506,22417883,22417884,29783293,30033221,29783298,22417887,16252608,11299421,7501971,7501972,11299424,16252612,21984629,15888588,15888589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1564849, s2 = 7906792, dlinesl.size( ) = 8 s1 = 1920838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1920838, s2 = 16004554, int(edited[s2]) = 0 s1 = 1920838, s2 = 16004554, d1 = 2, d2 = 12 Dl.O(d1) = 49731950 Dl.O(d2) = 4465903,4465904,7092963,10734707,15521409,14960600,10293196,6766731,4240734,2535526,2535527,4240740,6766743,10293212,10733606,15519797,21534352,20885359,15517060,15517062,21498790,15492051,10713129,7090387,4464420,4455686,4455687,7077407,10713000,15491884,254738100,27244994,21531078,15517501,10732058,254504010,254226825,883460,883459,254226823,4464712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1920838, s2 = 16004554, dlinesl.size( ) = 2 s1 = 1920838, s2 = 16004554, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1920838, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6713698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8088237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1924213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7117704, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14116295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6609435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6609435, s2 = 11148318, int(edited[s2]) = 0 s1 = 6609435, s2 = 11148318, d1 = 48, d2 = 68 Dl.O(d1) = 256505945,31147690,39829837 Dl.O(d2) = 262879340,172837010,161677318,161677317,172837006,182738129,191392414,198839927,205147062,264324168,191392419,182738132,172837010,161677318,149384205,272056137,271337842,257262009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6609435, s2 = 11148318, dlinesl.size( ) = 20 s1 = 14172754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6563384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8089187, s2 = 11316116, int(edited[s2]) = 0 s1 = 8089187, s2 = 11316116, d1 = 56, d2 = 54 Dl.O(d1) = 38549322,31220799,23736972,17412122,12271110,12271111,255556109,31220800,39897660 Dl.O(d2) = 262745341,185042882,261357266,262398788,261357264,259575060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8089187, s2 = 11316116, dlinesl.size( ) = 40 s1 = 13553913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8257427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8257427, s2 = 6873709, int(edited[s2]) = 0 s1 = 8257427, s2 = 6873709, d1 = 0, d2 = 0 Dl.O(d1) = 262250650,140772216,127416004,113545325,272167516,101053616,87057493,87057494,101053619,260116717,101811096,87837405,74232726,61453586,49975584,39958980,39958979,49975582,259501575,260499451,98271851,84363384,84363383,98271846,112251472,98271858,98271859,112251491,126107333,139479157,152208903,140772011,140772012,129756303,261829123 Dl.O(d2) = 262250650,140772216,127416004,113545325,272167516,101053616,87057493,87057494,101053619,260116717,101811096,87837405,74232726,61453586,49975584,39958980,39958979,49975582,259501575,260499451,98271851,84363384,84363383,98271846,112251472,98271858,98271859,112251491,126107333,139479157,152208903,140772011,140772012,129756303,261829123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8257427, s2 = 6873709, dlinesl.size( ) = 2 s1 = 8257427, s2 = 6873709, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8257427, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 15057599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8213068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16204949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15929837, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11223260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8329738, s2 = 506972, int(edited[s2]) = 0 s1 = 8329738, s2 = 506972, d1 = 94, d2 = 156 Dl.O(d1) = 257653804,135205540,258885268,271590481,78655520,65352199,53349827,42885405,42885404,53349824,65352195,78655514,92718118,257653800,116772482,111604010,97685726,83828219,258929479 Dl.O(d2) = 65569089,256879404,62052325,72871762,86467158,91543481,86467167,86467166,86467164,75802927,75802928,269862868,77614548,77614549,77614550,91543480,77614553,64446586,64446587,62838737,51188507,51188506,41031854,32239246,24641227,24641226,32239245,41031852,51188480,51188481,62838712,51188526,41031867,41031866,41031857,256074005,18184983,12897032,8772288,8772287,12897028,18184975,256074003,41031830,51188484,61665476,74449359,62838732,62838731,75802921 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6657987, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6716568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14535927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060757, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1646029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11105404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105404, s2 = 6530805, int(edited[s2]) = 0 s1 = 11105404, s2 = 6530805, d1 = 25, d2 = 19 Dl.O(d1) = 259790296 Dl.O(d2) = 255636122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105404, s2 = 6530805, dlinesl.size( ) = 2 s1 = 11105404, s2 = 6530805, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11105404, Dl.E( ) = 56, 2.38e-05 seconds used appending s1 = 1666616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8146635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14539432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14539432, s2 = 16248043, int(edited[s2]) = 0 s1 = 14539432, s2 = 16248043, d1 = 0, d2 = 42 Dl.O(d1) = 23988968,256027371 Dl.O(d2) = 192962484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14539432, s2 = 16248043, dlinesl.size( ) = 42 s1 = 1946901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1946901, s2 = 11308678, int(edited[s2]) = 0 s1 = 1946901, s2 = 11308678, d1 = 7, d2 = 22 Dl.O(d1) = 50195417 Dl.O(d2) = 102244447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1946901, s2 = 11308678, dlinesl.size( ) = 20 s1 = 15393913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 337434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1255034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1255034, s2 = 7900535, int(edited[s2]) = 0 s1 = 1255034, s2 = 7900535, d1 = 88, d2 = 90 Dl.O(d1) = 31558589,31558590,31558766,256538761,31891177,31558763,24054257,24054258,31558765,257669141,50264145,258900304,61742501,50264142,40244675,31558550,24054107,17700275,12519697,8481916,8481917 Dl.O(d2) = 256399130,102063278,116121383,116180920,116180921,129210506,138687559,143363464,143416354,134795507,261473351,143416353,139942587,260713436,155954663,167565802,167521806,259378628,142459807,141055911,132189112,118372225,104212842,90080925,88595063,74953057,74953056,78253803,64980612,53005917,53005918,49315619,255141834,23360425,17091674,12004410,8059485,8059486,11994413,8046240,8046242,8050452,11979215,12002897,8065932,5159629,3142966,3142965,1838750,1049336,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816482,3108095,3103072,2868989,2868101,1664600,947015,947016,1664603,2868112,3118056,1822306,1822305,3112120,1822266,1822264,3113863,1843532,1843531,3151016,5115496,3128062,1828632,1828630,1833852,1833854,3135985,3135987,5151830,5141539,3135995,3135993,3136098,3136097,5151948,5125272,3114388,3114389,1819986,1819987,3114444,3050395,3050394,3106338,5114606,8025488,5117751,5117750,8026972,8032775,5149051,3133529,1831950,1831949,1838952,1049450,1049451,1838954,1052555,591884,330027,181792,181787,254103875,1052529,1844492,3152436,5170418,8075555,12016528,17102219,21428264,21428263,28676605,37199354,38118347,29553390,22208655,16078059,16078060,11165417,7407011,4679960,2819577,1635782,1635783,2819580,2868487,1664821,1664823,2868493,3100990,1811806,1034685,582995,325887,179939,98939,98942,179951,325911,583057,254103471,325826,582860,254130773,586463,1041565,1047180,589225,589223,1047173,1834961,1844835,3141001,1836897,1836896,1812675,1043131,587244,587243,1043125,1827560,1841447,3147956,2913948,1690346,961203,961206,1690358,2913962,2914122,2868740,2868741,3123623,3123624,3102826,1812931,1035254,1035253,947382,947380,1665352,2869497,1836414,1836415,1835140,1835139,1665621,1665622,1842484,1051420,1051419,1842476,3149384,1846397,1846396,3155182,5173633,3156613,1847445,1054284,1054282,1847434,3153650,5171738,5147486,3132208,1831079,267795943,5147489,8056401,8015251,7964785,7964786,11907782,16993339,23256523,17061564,11970052,8013928,8013927,11970050,17061607,15573525,10772690,7964708,7964709,8076549,8076550,12014522,17100275,16964105,254252384,5049044,5049039,5070435,7968920,8158760,5229521,5229523,8158768,12018225,17103700,16954126,11866516,11866517,16954127,17024637,23283822,22454206,16285290,11326846,11326847,11327362,11326411,11326413,7990852,7990853,11326628,11938613,16285117,11977793,8024977,8024976,7990801,7990800,10770617,7116396,4480640,4480641,7116392,10770609,7116462,7116466,10770740,9163614,5997517,5997519,5172150,3153950,3153948,5172139,7117288,7523169,7523168,8077333,7116789,4480887,2692289,1559729,1559728,2692285,3085282,5084053,5084051,7169064,267768756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1255034, s2 = 7900535, dlinesl.size( ) = 8 s1 = 6613525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6794017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16291155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16192777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1604488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1604488, s2 = 4825975, int(edited[s2]) = 0 s1 = 1604488, s2 = 4825975, d1 = 0, d2 = 2 Dl.O(d1) = 40455093 Dl.O(d2) = 197890234,263475878,171528285,164190641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1604488, s2 = 4825975, dlinesl.size( ) = 28 s1 = 1960743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16212917, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14077320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7889028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1741775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 961896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 961896, s2 = 14995339, int(edited[s2]) = 0 s1 = 961896, s2 = 14995339, d1 = 0, d2 = 10 Dl.O(d1) = 24302482,31818753,40515481,257689153,258921237 Dl.O(d2) = 50551933,62044791,74843150,88478834,102485088,88478831,74843148,62044789,62044788,258921237,269888907,258298343,259546319,74843152,259546317,116586420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 961896, s2 = 14995339, dlinesl.size( ) = 2 s1 = 961896, s2 = 14995339, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 961896, Dl.E( ) = 24, 2.5e-05 seconds used appending s1 = 6567954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6720413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6720413, s2 = 6636553, int(edited[s2]) = 0 s1 = 6720413, s2 = 6636553, d1 = 27, d2 = 34 Dl.O(d1) = 257690580 Dl.O(d2) = 269762539,46373434,256819150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6720413, s2 = 6636553, dlinesl.size( ) = 14 s1 = 10145118, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15783445, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14173066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6720996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6720996, s2 = 10361043, int(edited[s2]) = 0 s1 = 6720996, s2 = 10361043, d1 = 14, d2 = 17 Dl.O(d1) = 257697043 Dl.O(d2) = 234209779,235224520,266545643,237758901,266758903,266975661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6720996, s2 = 10361043, dlinesl.size( ) = 2 s1 = 6720996, s2 = 10361043, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6720996, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 8116387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16278097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6722459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1614112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1971033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1971033, s2 = 1273668, int(edited[s2]) = 0 s1 = 1971033, s2 = 1273668, d1 = 6, d2 = 0 Dl.O(d1) = 50901420 Dl.O(d2) = 32028223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1971033, s2 = 1273668, dlinesl.size( ) = 24 s1 = 16056807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16056807, s2 = 15481414, int(edited[s2]) = 0 s1 = 16056807, s2 = 15481414, d1 = 45, d2 = 43 Dl.O(d1) = 91846883,106045488,120251203,134087057,261989277,159653950,170971623,181078971,189944790,197589683,204099451,197589684,197589685,204099452,209530976,213987438,217645957,220699416,223297468,223297471,220699429,217645968,213987441,213987442,217645972,220699433 Dl.O(d2) = 186097486,176682371,166042985,154291099,141635849,128285555,114409515,100386441,86430904,86430905,100386442,114409517,128285559,269357366,166042983,155743993,143191471,129862655,115965365,260330362,87948857,74346649,61569815,50089767,40068499,31385975,23889472,17846719,12638167,12638168,17843341,12635621,8579206,7758028,267983117,16292341,16291220,11334293,7531738,4764420,4764419,7531733,11334281,10892484,7203489,4538313,4538314,7203494,7202580,7202582,7998751,11949185,16291613,16291612,15730572,10893926,10893928,15730575,20069322,15730571,15730570,12230197,8257693,5327279,5327278,7202265,7202267,7203928,10893046,15717655,10880784,7193833,7193834,7203421,7203420,4764331,4764332,7531599,7531714,10892388,7203414,4538277,2727854,2727855,4538279,7203417,6508451,254688943,7700580,7205188,7205034,7203847,4538532,2727970,1580520,1580519,2727967,4538523,4072916,2437091,2437089,4072910,6499962,9891765,14385782,9891312,7203527,4538333,2727878,2727876,4538325,7203509,10892505,14364128,9870719,9870721,14364131,11334513,9880732,7197033,4874130,4874131,7531960,10892639,7203617,4538384,4538382,7203609,6482853,6482855,9868852,10895339,9884694,6494637,6494639,9877230,6488937,6488938,7203474,4538306,4538305,5327233,5327235,6499828,4072846,2437060,1409211,801714,801716,1409216,2437074,4072869,6499872,9891629,9881178,9881177,11569990,7701197,7701176,7701181,10887516,10887515,10881094,10881093,7912252,7912250,5764700,3590626,3590625,5764698,8845319,10881895,255053731,12302777,12302778,11732590,7833250,4972356,3003303,3003291,3003290,4972330,7833215,8309567,8309568,10892132,9866423,9866421,11922898,15624895,10811071,7143871,4498297,4498298,7143873,10811075,10811492,10811491,10814520,7146850,7146849,6488573,4065752,2433003,2433004,4065757,6488582,6553600,6553599,9876621,6498362,4071930,2436510,2436512,4071939,6498381,7145107,4499115,2703439,1566531,1566532,2703444,4499135,2703731,2703727,4063292,4063290,2439606,1410520,1410521,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454035,255915,255913,454028,801243,1408277,2431203,2434141,2434139,4067878,6492107,9881449,9877338,6489004,4066296,4066297,4065955,2433104,1407265,1407264,2433098,4065948,6488922,9877207,9880877,6491679,4067628,4067627,6491673,9880868,6503037,4074951,4074950,6499279,6494670,4069627,2435208,2435207,4069623,6485970,6503123,9895731,9880147,6491102,6491103,9880149,6503110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16056807, s2 = 15481414, dlinesl.size( ) = 2 s1 = 16056807, s2 = 15481414, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16056807, Dl.E( ) = 60, 2.6e-05 seconds used appending s1 = 714629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 714629, s2 = 6459765, int(edited[s2]) = 0 s1 = 714629, s2 = 6459765, d1 = 41, d2 = 34 Dl.O(d1) = 18228735,18228736,24553762,24553763,32134989,256895748,51054911,40912913,40912524,32134680,32134681,40912525 Dl.O(d2) = 254732904,4394925,4394926,254729647,15345671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 714629, s2 = 6459765, dlinesl.size( ) = 26 s1 = 14061584, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14502807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8186513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1978471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1978471, s2 = 15990214, int(edited[s2]) = 0 s1 = 1978471, s2 = 15990214, d1 = 7, d2 = 23 Dl.O(d1) = 51123187 Dl.O(d2) = 254142257,384126,211503,115707,267735695,35112,63241,115681,211437,383991,687945,1218053,2113896,3549623,3563634,3563636,2130920,2130922,2144284,1238677,1238675,1218307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1978471, s2 = 15990214, dlinesl.size( ) = 2 s1 = 1978471, s2 = 15990214, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1978471, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 1978834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1978834, s2 = 12956701, int(edited[s2]) = 0 s1 = 1978834, s2 = 12956701, d1 = 9, d2 = 15 Dl.O(d1) = 51155252 Dl.O(d2) = 24625686,24625685,24625687,32219130,41005916,258331817,258968292,92516592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1978834, s2 = 12956701, dlinesl.size( ) = 2 s1 = 1978834, s2 = 12956701, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1978834, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 6776799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6776799, s2 = 12347049, int(edited[s2]) = 0 s1 = 6776799, s2 = 12347049, d1 = 5, d2 = 13 Dl.O(d1) = 258333663 Dl.O(d2) = 258959281,258959283,103698681,89582827,89582828,89582832,103698684,103698679,103698678,117853116,260799627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6776799, s2 = 12347049, dlinesl.size( ) = 2 s1 = 6776799, s2 = 12347049, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6776799, Dl.E( ) = 18, 5.22e-05 seconds used appending s1 = 1623618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1982025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1982025, s2 = 14142862, int(edited[s2]) = 0 s1 = 1982025, s2 = 14142862, d1 = 4, d2 = 7 Dl.O(d1) = 51311742 Dl.O(d2) = 230480533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1982025, s2 = 14142862, dlinesl.size( ) = 11 s1 = 1625753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1625753, s2 = 6533880, int(edited[s2]) = 0 s1 = 1625753, s2 = 6533880, d1 = 8, d2 = 18 Dl.O(d1) = 41133298 Dl.O(d2) = 2341498,2341280,2341281,3910229,6246209,9523130,13880939,19338893,26013170,33831169,42872318,255668522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1625753, s2 = 6533880, dlinesl.size( ) = 2 s1 = 1625753, s2 = 6533880, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1625753, Dl.E( ) = 20, 1.69e-05 seconds used appending s1 = 14069922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777652, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14064034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14064034, s2 = 11612467, int(edited[s2]) = 0 s1 = 14064034, s2 = 11612467, d1 = 45, d2 = 29 Dl.O(d1) = 257557069,48619006,60008779,64972805,259030628,59502875,59502874,55425771,55425770,59361794,47971191,47971192,59361796,51403594,51403589,41209762,32388549,24767306,24767305,32388546,41209759 Dl.O(d2) = 243885837,244127063,244030052,243783416,243517534,243231261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14064034, s2 = 11612467, dlinesl.size( ) = 2 s1 = 14064034, s2 = 11612467, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14064034, Dl.E( ) = 46, 1.69e-05 seconds used appending s1 = 6470252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1633342, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14043718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043718, s2 = 6975704, int(edited[s2]) = 0 s1 = 14043718, s2 = 6975704, d1 = 2, d2 = 22 Dl.O(d1) = 52899725 Dl.O(d2) = 260846539,146317688,158685523,147354705,134143808,120313987,106114092,257734812,91919196,77994988,70936682,257148082,98422544,112411387,126274546,139645134,152365881,164238830,175044688,184110651,174461431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043718, s2 = 6975704, dlinesl.size( ) = 2 s1 = 14043718, s2 = 6975704, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14043718, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 1991103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16189467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16189467, s2 = 11162258, int(edited[s2]) = 0 s1 = 16189467, s2 = 11162258, d1 = 25, d2 = 17 Dl.O(d1) = 72607222,72607223,258155676,100167003,114197181,128083587 Dl.O(d2) = 8910832,5814910,254292845,1253742,2166302,254434313,8910836,13076626,18410002,24916597,32569573,41429865,41429864,51671665,56189210,268345298,82204181,95508590,82071300,257944723,45089699,45089697,56080630,68547447,69084639,79062989,79062987,67982504,67982506,69364309,82885177,96785680,96785380,82833284,70187364,65488507,53467691,42992496,42992492,53467668,56907498,56830342,45660486,35985061,27666584,20603997,14777217,14777219,20603920,20597745,20568266,14753698,10146158,10146162,14719916,10237963,10237965,10238075,6727558,4214845,2520020,2520025,4214870,6722985,10232271,10172495,10172491,14789941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16189467, s2 = 11162258, dlinesl.size( ) = 8 s1 = 1993247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1993247, s2 = 14187775, int(edited[s2]) = 0 s1 = 1993247, s2 = 14187775, d1 = 1, d2 = 3 Dl.O(d1) = 51769851 Dl.O(d2) = 16678679,11641953,7756007,4912000,4911999,7756001,11525097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1993247, s2 = 14187775, dlinesl.size( ) = 2 s1 = 1993247, s2 = 14187775, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1993247, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 16203335, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6892451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6892451, s2 = 6655742, int(edited[s2]) = 0 s1 = 6892451, s2 = 6655742, d1 = 18, d2 = 22 Dl.O(d1) = 259758142,70134762,70166314,57501701,46191091,36365801,32758317,25064655,25064657,32758325,41670877 Dl.O(d2) = 256999113,30412287,30412286,268242271,16949041,12226508,8254926,8254924,255164065,17355677,17355676,23675485,31163931,31731250,24223110,17851728,13427444,13427445,16950333,16950334,23218296,22082951,15977141,11091262,7355742,4646555,4646554,7355738,11091255,7927500,7927499,7926695,7926694,11860416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6892451, s2 = 6655742, dlinesl.size( ) = 24 s1 = 989451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 989451, s2 = 8473903, int(edited[s2]) = 0 s1 = 989451, s2 = 8473903, d1 = 0, d2 = 19 Dl.O(d1) = 25095857,268483603,25095864,256104065 Dl.O(d2) = 259357710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 989451, s2 = 8473903, dlinesl.size( ) = 26 s1 = 6572443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6572443, s2 = 11435612, int(edited[s2]) = 0 s1 = 6572443, s2 = 11435612, d1 = 33, d2 = 37 Dl.O(d1) = 256104655 Dl.O(d2) = 274327011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6572443, s2 = 11435612, dlinesl.size( ) = 2 s1 = 6572443, s2 = 11435612, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6572443, Dl.E( ) = 48, 1.79e-05 seconds used appending s1 = 10146052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146052, s2 = 11005901, int(edited[s2]) = 0 s1 = 10146052, s2 = 11005901, d1 = 74, d2 = 76 Dl.O(d1) = 91048151,77143303,64012487,52179133,52179132 Dl.O(d2) = 29581182,29581184,38147198,48060142,48116816,38205977,29639364,22288369,21536295,21536297,22233078,23203475,16933461,255523067,30625836,38146935,38146938,39223449,39223448,49150029,48115355,38204505,29637882,22286137,22232747,16142482,11214364,11214363,16142479,22286166,29637878,29487022,23401989,17129372,17129371,23203279,23203278,22287679,22287678,23204170,23204151,16933946,11851792,7921236,5036024,5036025,7921241,11851798,12024509,8084137,8084138,11294069,11294068,16245164,17129357,17129356,22252220,16114026,11193219,11193217,16114021,22252216,29601890,23200522,23200521,30622328,29497365,22158467,16037385,11135516,7386090,7386091,11135521,16037394,11215448,7441643,7441642,11215446,16143871,255081388,17129366,254769822,22286109,29637857,38204490,48115336,48092158,38180461,29613498,22262690,16122366,11294074,7498488,4739984,4739986,7498491,4740230,4740227,7498669,7498670,11294316,11294339,11294340,11214659,7920040,5035332,3048800,3048799,5035347,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740029,7498556,11294150,16245255,22408652,25689736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10146052, s2 = 11005901, dlinesl.size( ) = 2 s1 = 10146052, s2 = 11005901, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10146052, Dl.E( ) = 94, 7.39e-05 seconds used appending s1 = 15640139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15580343, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13393253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13393253, s2 = 10364407, int(edited[s2]) = 0 s1 = 13393253, s2 = 10364407, d1 = 49, d2 = 59 Dl.O(d1) = 47423808,37515978,28972478,28972477,37515976,29828524,22461246,22461245,29828522,38400765,256472662,36716187,36716186,32990814,25266936,25266935,32990812,41931513 Dl.O(d2) = 48281513,39146024,268407702,41777474,38370337,38370336,30315060,22914948,16681809,11644332,11644331,16681805,22914939,29741681,22382758,22382757,28474063,21254362,21254363,28474064,31621180,24115839,17754832,17754833,24115841,22658506,22417883,22417882,29783291,38355863,48266739,59653571,72387950,74227451,86886404,73274924,256468684,47280287,37371002,37371003,30607281,23188133,16921665,11842593,11842592,16921664,254815074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13393253, s2 = 10364407, dlinesl.size( ) = 2 s1 = 13393253, s2 = 10364407, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13393253, Dl.E( ) = 74, 2.81e-05 seconds used appending s1 = 1651213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1651974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16187200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16066566, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 506538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7933923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062500, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2365234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14330379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14330379, s2 = 14200274, int(edited[s2]) = 0 s1 = 14330379, s2 = 14200274, d1 = 1, d2 = 24 Dl.O(d1) = 1744998 Dl.O(d2) = 431968,759636,1325764,1325761,2285477,1331244,1322174,754351,754348,428662,241951,133810,73090,73091,73401,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73041,73514,39762,39760,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815466,6085004,6085005,6098101,3815454,3815455,6098104,9309226,13595352,19045121,256144109,33434554,42427053,52831307,258424269,270531491,106066036,120268756,134102246,147315991,142953314,129626403,115730375,256025028,74105345,61322304,49839046,39815543,39815542,49839045,61322302,74105343,87711505,256530836,129626402,142953312,258892050,177634689,271863618,201923167,207746898,212549468,216475117,219731194,222479936,224839726,225054330,222723489,220010231,216796357,212918276,208175001,202423591,195578815,187573097,178376819,167956600,156384667,143868603,130550569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14330379, s2 = 14200274, dlinesl.size( ) = 14 s1 = 7912228, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14535743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14916175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1666858, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2266480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2266480, s2 = 14171765, int(edited[s2]) = 0 s1 = 2266480, s2 = 14171765, d1 = 34, d2 = 50 Dl.O(d1) = 60723678,49321481,49321480,52682733,42296124,42296125 Dl.O(d2) = 23116450,30535101,39133796,44458411,37214247,37214249,47111045,58488854,70416554,57721486,46371098,36512176,268740402,30035133,38609380,48046677,41406295,40600751,31892030,24364166,24364167,31892035,40600755,50650652,41078195,32273181,24666616,18204396,12911882,8783272,8783270,12911880,18204393,24666607,32273156,40600810,31892085,24364209,24364210,31892088,40600813,48046697,38133268,38133267,48046695,49063844,59142719,48828000,38906171,38906170,37214254,28689592,28689593,255362656,50650740,40600840,31892114,28048039,28048040,28689588,28689589,37214244,47111040,51647072,44727950,35308608,35308609,44727954,55626042,62159714,58250172,51251917,41078177,32273165,24666611,24666610,32273162,41078173,51251912,62920039,51251908,51251907,42265828,33285839,25525576,18916179,18916178,25525574,24898956,18396297,13066672,13066673,18396298,24898959,32548233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2266480, s2 = 14171765, dlinesl.size( ) = 12 s1 = 10198438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10198438, s2 = 11451576, int(edited[s2]) = 0 s1 = 10198438, s2 = 11451576, d1 = 64, d2 = 55 Dl.O(d1) = 133967117,120125034,105912892,91705652,77778084,64595380,52694717,42307801,33327360,25566842,18956204,13519827,9251766,9251765,6947510,4365739,4365740,4379058,6946867,6946868,6946415,4365166,2615757,2615758,4365175,4372612,4378324,6969189,10566161,10552228,10552227,15286746,268204453,10543110,10543111,12064173,12064174,12276190,8290598,5348538,3287136,254399637,7843000,11746963,15889169,11014580,11014582,15889175,256373441,255178072,18961434,18943779,13507215,13507216,13523066,13523058,13523027,9254488,6947121,4365535,4365532,6947110,8619480,8112340,5197287,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,9263997,9264000,13514087,13513706,13513704,15292910,10566938,6969701,6969700,10566932,15302731,15308556,15474323,12052297,12052298,17148754,13506803,9241366,7134415,7134416,8854578,10568489,15287981,10553363,6960375,6960374,10553360,12067481,12067480,15274578,12062556,9241480,6052620,3795620,2273530,2273531,3795623,6063047,6063855,9242413,8110838,5196358,5196357,5196428,5196444,3170537,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8116492,12069948,255266247,22639518,16450452,11461807,11461806,16450447,22639509,24521088,18089592,18089593,22063805,22063804,17234025,12115252,12115254,17234038,23542359,28008638,22638485,16449783,11461436,11461433,16449771,22638467,25327288,30011472,30011334,30011335,36383067,36383068,46213438,48851697,46397828,39753485,31075864,23592515,255996885,36976322,28478870,255391847,10561751,6966114,4376459,2621381,1513120,1513121,2621382,4376461,6966120,8334185,12336722,17000093,18701059,18701060,25273345,23019929,22673774,16477325,11480487,7635699,7635700,11480491,16477335,22673790,25259326,32982631,37434641,39463489,49391869,60792403 Dl.O(d2) = 185176996,193494513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10198438, s2 = 11451576, dlinesl.size( ) = 12 s1 = 6609995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6609995, s2 = 11568450, int(edited[s2]) = 0 s1 = 6609995, s2 = 11568450, d1 = 72, d2 = 88 Dl.O(d1) = 256511206,23892923,17546619,12376922,12376924,17383196,12383769,12383767,255568339,18961340,254927557,9256607,256137233,42310987 Dl.O(d2) = 239627866,266752523,237695648,236922550,236073287,235139447,266259401,231737195,265902111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6609995, s2 = 11568450, dlinesl.size( ) = 40 s1 = 6737687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1672122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1672122, s2 = 10289571, int(edited[s2]) = 0 s1 = 1672122, s2 = 10289571, d1 = 4, d2 = 75 Dl.O(d1) = 42354586 Dl.O(d2) = 241220998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1672122, s2 = 10289571, dlinesl.size( ) = 76 s1 = 6678134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15198790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16275749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14947057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15104437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6788220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6788220, s2 = 11135300, int(edited[s2]) = 0 s1 = 6788220, s2 = 11135300, d1 = 13, d2 = 25 Dl.O(d1) = 258460388 Dl.O(d2) = 2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467387,35122345,27559070,27559066,35818445,45230452,45558420,45558424,53781528,53781526,65842588,69894827,69894825,68382712,55936536,55936535,68382710,57413206,57413205,63008808,63008807,69511971,69511970,83040092,82418745,68894539,56382442,45322861,35754413,27519503,20508973,14713312,10117561,6643347,6643345,10117556,14713302,20508952,27519471,35754358,45322758,55915849,44962118,35499740,27347472,20394470,14636792,10068593,6614183,4142117,2477052,1431524,814238,461457,260699,260700,144660,144658,260886,463042,818850,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472162,27460001,27467523,27467519,27633444,27631284,20582842,20582844,27631291,35926961,34175832,26306314,26306312,34175843,43268912,53789394,65853848,67878218,67878215,81345114,88288539,81749011,75893070,62918929,62918926,57423308,46127915,46127912,46127989,36319501,36319498,45142283,46128013,46128011,44960761,35498848,27346847,20420982,14654980,10080011,6620487,4145437,2478660,1432330,816764,816762,462798,260826,260823,462831,818226,1440752,2495921,4175317,6667796,10151432,14760815,20577859,27624166,35916506,45560696,40348556,31654815,24145331,24145332,17779283,17779279,24145467,31655037,40348905,50382546,45307489,35744204,35744206,45307457,56361286,49878784,49878781,45670065,44960772,35498853,27346847,27346843,35498808,35551302,27876380,27864242,27590921,20555126,20420537,20420535,20629272,20362611,20362607,20434423,20434420,27406188,27406191,20591234,14768984,14768987,20591205,20618878,20618880,27688724,36017495,35270494,35270491,41110675,32300264,27667775,255351305,14777510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6788220, s2 = 11135300, dlinesl.size( ) = 2 s1 = 6788220, s2 = 11135300, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6788220, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 14122615, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1020126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2037636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2037636, s2 = 1203422, int(edited[s2]) = 0 s1 = 2037636, s2 = 1203422, d1 = 12, d2 = 41 Dl.O(d1) = 53014953 Dl.O(d2) = 30460504,257001971,48971787,258189999,261776417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2037636, s2 = 1203422, dlinesl.size( ) = 20 s1 = 1680315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1680315, s2 = 14164701, int(edited[s2]) = 0 s1 = 1680315, s2 = 14164701, d1 = 9, d2 = 104 Dl.O(d1) = 42578494 Dl.O(d2) = 254456255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1680315, s2 = 14164701, dlinesl.size( ) = 14 s1 = 6501812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6785988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1684469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1684469, s2 = 12266657, int(edited[s2]) = 0 s1 = 1684469, s2 = 12266657, d1 = 1, d2 = 64 Dl.O(d1) = 42688858 Dl.O(d2) = 149980425,136846802,123015928,108746874,94453516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1684469, s2 = 12266657, dlinesl.size( ) = 56 s1 = 6605614, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2044619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2044619, s2 = 1716242, int(edited[s2]) = 0 s1 = 2044619, s2 = 1716242, d1 = 15, d2 = 14 Dl.O(d1) = 53189862 Dl.O(d2) = 43948315,34673600,26680127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2044619, s2 = 1716242, dlinesl.size( ) = 18 s1 = 16049273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16049273, s2 = 2093670, int(edited[s2]) = 0 s1 = 16049273, s2 = 2093670, d1 = 6, d2 = 5 Dl.O(d1) = 204034521,197515653,189859926,263013866,147176604,133954316,120112259,259762718,77764470,64581260,52680764,42294188,42294187,52680762,258414753,74365755,259512045,98131973,84237092,70684211,57966016,46589523,36702658,28211441,21018022,15095668,15095667,21018020,256289751,46589522,57966011,258642365,260489971,106818270,92506363,78466555,65182511 Dl.O(d2) = 42748602,33719365,25912759,19250878,13755425,13755426,19250880,25912760,256677959,53197530,258444525,88395436,74761777,74761779,72236502,72236503,74405743,74405744,67824968,55483404,55483405,258543729,258786092,55483370,44633224,44633225,44611902,44611901,55460425,55483375,55483368,55483369,67824931,81291245,95347803,109600553,123788781,112330784,98347592,84437859,70880501,58166458,46799118,36921264,36921263,36921268,46799116,36921262,36921261,46799113,58166455,70880498,84437858,98347589,112330783,126191390,139566738,152296860,164180503,174996640,184597968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16049273, s2 = 2093670, dlinesl.size( ) = 2 s1 = 16049273, s2 = 2093670, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16049273, Dl.E( ) = 8, 2.1e-05 seconds used appending s1 = 14865177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14865177, s2 = 6786925, int(edited[s2]) = 0 s1 = 14865177, s2 = 6786925, d1 = 0, d2 = 0 Dl.O(d1) = 19216095,19216096,25875026,33681175,25917431,19255597,13759793,9429422,6178926,3866465,2316087,1343309,1343311,2316044,3866342,6177745,3910659,3910663,6246796,254652128,19255365,25917252,33723841,42753102,258444819,92510931,106822495,121082310 Dl.O(d2) = 19216095,19216096,25875026,33681175,25917431,19255597,13759793,9429422,6178926,3866465,2316087,1343309,1343311,2316044,3866342,6177745,3910659,3910663,6246796,254652128,19255365,25917252,33723841,42753102,258444819,92510931,106822495,121082310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14865177, s2 = 6786925, dlinesl.size( ) = 2 s1 = 14865177, s2 = 6786925, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14865177, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2045257, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2046606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2046606, s2 = 4273070, int(edited[s2]) = 0 s1 = 2046606, s2 = 4273070, d1 = 12, d2 = 30 Dl.O(d1) = 53230548 Dl.O(d2) = 164482163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2046606, s2 = 4273070, dlinesl.size( ) = 2 s1 = 2046606, s2 = 4273070, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2046606, Dl.E( ) = 48, 1.41e-05 seconds used appending s1 = 1661225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14577695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14495551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14495551, s2 = 16203352, int(edited[s2]) = 0 s1 = 14495551, s2 = 16203352, d1 = 16, d2 = 33 Dl.O(d1) = 254665157,3866001,2315846,1343228,1343232,1343993,1343994,1344224,1344225,1344235,1344237,1344235 Dl.O(d2) = 16505152,11501104,7650146,4840243,2916730,1691977,962145,542217,542214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14495551, s2 = 16203352, dlinesl.size( ) = 2 s1 = 14495551, s2 = 16203352, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14495551, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 14054506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10342953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342953, s2 = 11401046, int(edited[s2]) = 0 s1 = 10342953, s2 = 11401046, d1 = 105, d2 = 89 Dl.O(d1) = 22819053,22819054,30211026,38795175,30210766,22818811,16599353,11576853,10321121,6790511,6790505,255002445,20893911,28064602,36530839,46391159,39268008,32964494,25242773,18672947,18672946,24891183,255094862,36800484,255854190 Dl.O(d2) = 216037478,274101130,273724983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342953, s2 = 11401046, dlinesl.size( ) = 2 s1 = 10342953, s2 = 11401046, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10342953, Dl.E( ) = 106, 4.32e-05 seconds used appending s1 = 2735065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2735065, s2 = 15294908, int(edited[s2]) = 0 s1 = 2735065, s2 = 15294908, d1 = 113, d2 = 115 Dl.O(d1) = 78697425,268287382,42923781,42923782,255638558,48769902,48769903 Dl.O(d2) = 58246381,46879265,37000771,28503274,21284886,15321115,10582184,6980976,4386335,2628216,1517334,860238,860241,1084757,609224,609222,1084751,1900362,3239099,3026734,1760845,1760846,3026738,3024973,3024975,3238710,5005832,3026446,3026444,5005824,4999436,3020934,1755811,999186,562785,562789,562772,562765,562766,562799,999213,1755852,3020975,4999471,7874677,7879053,7879054,5287118,3238952,3238951,5004626,3025324,1760610,1760609,3025174,1759431,1759430,1760444,1002707,564964,316415,316416,564968,316448,316449,564954,1002699,1002617,1002619,1758247,1000979,1000980,1758251,1760566,1760565,1759350,1001809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2735065, s2 = 15294908, dlinesl.size( ) = 46 s1 = 14070400, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 979533, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1698286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1698286, s2 = 6890740, int(edited[s2]) = 0 s1 = 1698286, s2 = 6890740, d1 = 1, d2 = 19 Dl.O(d1) = 43057594 Dl.O(d2) = 259722989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1698286, s2 = 6890740, dlinesl.size( ) = 20 s1 = 10356072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2730740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2730740, s2 = 6603776, int(edited[s2]) = 0 s1 = 2730740, s2 = 6603776, d1 = 13, d2 = 10 Dl.O(d1) = 78516101,257528012,38344373,38344372,48254587,42337067,33355792,33355791,259098703 Dl.O(d2) = 256446928,19516652,13970507,255299995,21883991,255413128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2730740, s2 = 6603776, dlinesl.size( ) = 8 s1 = 8433136, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6653679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1356223, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6574225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14543021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15549387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2067264, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1508405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1508405, s2 = 9736256, int(edited[s2]) = 0 s1 = 1508405, s2 = 9736256, d1 = 5, d2 = 11 Dl.O(d1) = 38453442,38453407,254782428,59738943,54602042 Dl.O(d2) = 14179473,9747804,6409593,4021118,2409497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1508405, s2 = 9736256, dlinesl.size( ) = 2 s1 = 1508405, s2 = 9736256, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1508405, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 490033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 490033, s2 = 13662470, int(edited[s2]) = 0 s1 = 490033, s2 = 13662470, d1 = 40, d2 = 53 Dl.O(d1) = 12462484,8431279,8431281,12462492,17638329,23984233,31481040,40165874,46931636,46993531,37108390,28599892,26604579,256198387 Dl.O(d2) = 13086545,13086546,18028025,255633819,13086549,8917773,8917772,268134815,24935881,32597952,32597966,24935893,18423868,13086555,8917775,5819568,3630251,3630250,254901425,9107125,254914483,18723286,256115527,41966923,52307348,64158645,64389003,64389004,77557151,84236620,91487951,105711796,105711900,91488015,77557200,77557199,77557145,64389053,52515236,42157086,33197471,25451187,25451186,33197466,42157085,52515234,52515214,42157072,42157073,52515217,64389027,77557187,87973596,91487957,105711805,112091489,112091488,119946596,105711793,105711794,119946248,107356376,92951653,78845062,65512733,53489238,53489240,65512743,78845083,91487925,105711487,91487727,91226491,77557015,64388914,52515156,52515157,64388921,77557023,91487751,105711522,105448780,91226452,77306704,64158651,64158650,77306718,84236609,70683734,57965547,57965546,70683729,84236600,98131521,112091502,119946597,119946248,107356376,92951653,78845062,65512733,53489238,53489240,65512743,78845083,91487927,105711708,105711720,91487897,77557119,64388979,64388980,77556997,91487709,105711458,119946264,105711751,105711639,91487843,77557076,64388952,52515180,42157050,33197451,33197452,42157055,52515187,64388967,77557100,91487871,105711682,119946443,119946444,119946376,105711569,91487792,91487794,105711576,119946382,133813457,133562538,119687537,105448810,259015990,64158654,64158655,52307353,41966927,257185061,64158661,77306723,257774318,41966925,33024025,33024026,257185061,64158660,270508317,260260071,260856138,105448834,260260071,260856138,119687563,105711599,91487809,77557058,77306727,64158657,64158656,77306725,91226485,105448806,119687531,133562532,261424418,119687518,105448793,105448792,119687517,133562523,133813538,133813539,133813431,119946516,105711714,260275271,133813570,119946675,105711849,105448807,105448809,119687534,119946424,258808884,98131543,112091520,119687541,105448821,105448813,260260069,91226482,258389038,64158656,77306725,91226484,105448820,105711895,119946731,119946765,133813557,133562555,119687554,105711534,91487893,91487894,91487982,105711850,119946677,119946416,105711610,105711609,119946414,112091522,112091523,125925708,119687529,119687531,133562532,261438843,119946415,105711610,105711609,105711701,260275269,133813549,147059234,133813351,260049808,105711481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 490033, s2 = 13662470, dlinesl.size( ) = 2 s1 = 490033, s2 = 13662470, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 490033, Dl.E( ) = 54, 1.81e-05 seconds used appending s1 = 14986643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8133093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8133093, s2 = 9247871, int(edited[s2]) = 0 s1 = 8133093, s2 = 9247871, d1 = 7, d2 = 5 Dl.O(d1) = 23334475,30757081,23606472,17293557,12172401,12172398,17293554,22478728,23656229,29846990,29821894,22454649,16285967,16285966,22454647,29821892,31073692,29854522,29854523,29842443,29842442,254554654,15919221,15919217,22020456,22083794,29353992,22022872,22022871,22972554,16736078,16736079,254832662,254535925,2881693,1672147,1672148,2881697,4782115,7562842,11383384,12153943,12153944,8184438,8184439,12153948,17274586,16306469,11345589,11345588,16306467,22477027,18106637,18106636,24540436,29956585,30374988,30374989,29843507,29843483,22476614,16306138,15921628,11044396,7319238,7319237,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467990,16356797,11382938,7562570,7562571,11382945,16356813,22529473,16777240,16777239,23017494,30412798,30412799,28424658,21201389,15236170,15236169,21201385,28424646,29354845,28891380,22386021,21615235,16303751,16303752,16355507,16355509,21095076,28304102,29879305,38438059,38488973,38488974,38431569,29880869,29880868,38438512,29879903,29848258,22482691,16311182,11348620,7540967,7540970,11348631,10750475,7102597,7102595,10750465,15544218,16315935,16315936,16332691,14192264,254581810,18287072,19805465,24061617,24686664,22924459,16690074,16690075,19813440,19813441,26624026,19813429,14192245,14192244,19813424,26614281,19805776,14186710,9752468,6412367,4022679,2410260,2410259,4022673,6412355,9752441,14186657,19805690,26614175,26614221,34601590,26614218,26614217,34601588,43871702,43884199,43884198 Dl.O(d2) = 259321145,112913808,126766445,140115566,152809031,164646389,262807700,185172603,260712010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8133093, s2 = 9247871, dlinesl.size( ) = 2 s1 = 8133093, s2 = 9247871, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8133093, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1049053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1049053, s2 = 2754320, int(edited[s2]) = 0 s1 = 1049053, s2 = 2754320, d1 = 12, d2 = 10 Dl.O(d1) = 26651772,34642856,43916007,54658482 Dl.O(d2) = 80341467,71563680,58836477,47450258,37542288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1049053, s2 = 2754320, dlinesl.size( ) = 2 s1 = 1049053, s2 = 2754320, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1049053, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 6497571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6497571, s2 = 6572715, int(edited[s2]) = 0 s1 = 6497571, s2 = 6572715, d1 = 25, d2 = 75 Dl.O(d1) = 255239216 Dl.O(d2) = 41775435,256107741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6497571, s2 = 6572715, dlinesl.size( ) = 18 s1 = 10135562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1794877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13340469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13340469, s2 = 14163420, int(edited[s2]) = 0 s1 = 13340469, s2 = 14163420, d1 = 12, d2 = 27 Dl.O(d1) = 80395554,66965301,54706251,43962501,43962500 Dl.O(d2) = 54596552,43852130,34580526,26593319,19788044,14173831,14173833,14184427,9750974,9750973,10042636,6599646,6599645,10042632,10041718,9746935,6599531,4134506,2473263,1429679,813355,461050,260088,144345,144346,260091,461055,813365,1429699,2473298,4134584,6599687,10042702,14594978,20336325,27272048,25317822,25317821,19789424,19789423,26594890,26597949,19791958,19791957,20335696,27271417,21902131,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12281613,8294402,5350988,5350985,8294390,12281593,17424900,21901439,15821911,15821878,10964629,7257712,4577253,4577254,7257713,255061797,10964734,10964736,15822059,21901396,24122356,24122354,31627361,40314447,34663040,26670250,19853784,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,21898423,15945885,15945883,21903256,21903255,21901167,15821706,15821704,11803915,11803913,14171939,9742851,6406501,6406504,9742865,14171970,15638038,15638039,17760004,14552725,14552728,20282001,23186919,20246183,20246185,27157823,23020618,16780238,16780235,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,7707274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13340469, s2 = 14163420, dlinesl.size( ) = 14 s1 = 6737491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6737491, s2 = 14866155, int(edited[s2]) = 0 s1 = 6737491, s2 = 14866155, d1 = 42, d2 = 54 Dl.O(d1) = 257891075,258510081,54707526 Dl.O(d2) = 254683463,4036893,6435257,9788531,14239280,255732535,256729081,43963808,54707546,257292787,43963810,54707532,66966568,80396760,94456058,108749199,94456069,80396774,66966582,54707545,54707544,66966580,54707553,43963812,43963811,54707550,258510091,259767979,80396783,80396784,80396756,66966566,66966565,80396755,94456044,94456045,259767987,94456063,260382803,258510085,54707538,43963801,43963802,54707536,43963816,43963815,54707556,66966597,80396786,94456082,108749221,259767989,94456072,271640387,108749207,94456071,80396774,66966582,54707545,54707544,66966580,54707553,43963812,43963811,54707550,258510091,259767979,80396783,66966596,66966597,80396786,94456082,108749221,259767989,94456072,271640387,108749207,94456071,80396774,66966582,54707545,43963805,34688609,26694142,26694143,26694148,34688620,43963818,54707563,66966606,80396788,273576032,259767985,80396767,66966575,66966576,80396769,94456063,260382803,258510085,54707538,43963801,43963802,54707536,54707558,66966601,273576032,108749196,259139065,80396753,94456047,258510087,66966580,54707553,43963812,43963811,54707550,258510091,259767979,80396783,80396784,80396756,66966566,66966565,80396755,94456048,258510089,54707550,258510091,259767979,80396783,80396784,80396756,80396757,94456052,94456040,80396749,66966561,257292785 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 253384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13711785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6534810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6534810, s2 = 15996850, int(edited[s2]) = 0 s1 = 6534810, s2 = 15996850, d1 = 72, d2 = 101 Dl.O(d1) = 255678596,31031177,23550049,19877067,19877068,255274142 Dl.O(d2) = 39966647,31291865,31291866,38269326,255905827,16198776,11260491,255089145,8612672,7705027,254796507,7515108,4750807,4750808,7515109,7487908,7299040,4603909,2770529,1606648,1606646,2770528,4603907,254364769,2938558,1704003,1704006,2938560,4876827,255115319,22446774,16277308,16277309,22446775,22816261,16597472,16226989,16226988,22385018,22384598,22384597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6534810, s2 = 15996850, dlinesl.size( ) = 62 s1 = 6787285, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7962410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7962410, s2 = 8283456, int(edited[s2]) = 0 s1 = 7962410, s2 = 8283456, d1 = 7, d2 = 10 Dl.O(d1) = 256790552,49508530,49508529,55056410,44225776,44225775 Dl.O(d2) = 257875491,256731467,34737756,44044267,54830051,66194143,66194144,79579814,67128729,54828340,44043073,44043075,54828346,66186745,54070824,54054977,54054979,43492057,34360665,30933530,23491977,17206164,12099613,8137330,5213555,3180698,1861732,1062520,597292,597296,1062539,1862179,3181668,5215596,8141280,12107301,17220807,19956225,19956229,14314357,14289228,9832479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7962410, s2 = 8283456, dlinesl.size( ) = 2 s1 = 7962410, s2 = 8283456, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7962410, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14069498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7918598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8224257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2085770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2085770, s2 = 3593886, int(edited[s2]) = 0 s1 = 2085770, s2 = 3593886, d1 = 1, d2 = 5 Dl.O(d1) = 55334475 Dl.O(d2) = 122305459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2085770, s2 = 3593886, dlinesl.size( ) = 74 s1 = 6902029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6902029, s2 = 14089615, int(edited[s2]) = 0 s1 = 6902029, s2 = 14089615, d1 = 11, d2 = 33 Dl.O(d1) = 259908694 Dl.O(d2) = 61898321,74692049,72999689,72999690,76630578,257071708,99641481,85692314,85692315,97935788,97935787,111872072,112437219,112437220,100558889,86597324,72999697,72999698,86597327,100558892,100558879,100558880,114590730,121097656,125945369,112111326,98151797,258644416,84268511,84268512,72106441,72106442,72999693,60264292,48871638,38951998,38951999,48871639,60264294,72999700,84268523,256830526,46625825,46625824,58001576,70717580,84268519,98162203,86597303,86597305,269806268,258118264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6902029, s2 = 14089615, dlinesl.size( ) = 2 s1 = 6902029, s2 = 14089615, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6902029, Dl.E( ) = 50, 2.1e-05 seconds used appending s1 = 6739382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583773, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6793582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6793582, s2 = 8059014, int(edited[s2]) = 0 s1 = 6793582, s2 = 8059014, d1 = 12, d2 = 11 Dl.O(d1) = 258538456,44559996 Dl.O(d2) = 27092804,27092803,22887475,22596404,22596405,29961044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6793582, s2 = 8059014, dlinesl.size( ) = 14 s1 = 70044, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1384827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14484467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1385778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16089475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16089475, s2 = 11657233, int(edited[s2]) = 0 s1 = 16089475, s2 = 11657233, d1 = 53, d2 = 61 Dl.O(d1) = 73344680,60599546,60599545,49198822,39272562,39272561,49198820,60599543,73344676,61530490,50051030,50051031,52513117,52513118,64386778,77555002,67795017,60845282,60845283,73594736,87216770,101217657,115295937,101956133,87983143,74380631,61604084,61604086,74380635,87983144,101956135,116000614,119944665,129898640,143227857,155778411,167408816,177901436,178000898,167530092,155915619,143373013,130041015,116131564 Dl.O(d2) = 31504383,40189355,50211208,50211209,61692935,74475390,61692936,61692937,67745552,67745553,67745554,81210695,258146648,86080107,84839812,84839811,74357967,61581249,50101385,40080739,40080738,50101384,61581247,51917532,51917531,63726086,58237008,46869213,36990531,28493272,21276358,15314525,10577193,6977160,4383424,2625564,1515608,859225,485056,485059,859229,853503,482042,482041,272092,150832,150834,272101,483589,856206,1508414,1508415,2612524,4360070,2612991,1508735,254223483,1509830,2614495,4362733,6941843,255021383,6929309,4381839,2624202,1514526,1514527,2624203,4381841,6975104,10574631,15311267,21272329,17494925,17494926,23833812,17495329,12335826,255174405,21198006,21198005,21208505,28432568,28488270,23022783,16781821,11733850,11733851,15090171,10407703,10407704,15090173,21010554,15969381,11084567,11084568,12683819,12683820,17904353,21209073,28235781,21038016,15111049,15111048,21038014,21223632,28449389,28317660,23834257,21251383,15286241,10551800,6959249,4372507,4372506,6959248,10551798,15286239,255820285,36970031,46848841,58216764,258661329,84498148,98419829,112408729,126271823,139642525,262159559,175042405,170906920,159581595,147225926,134009202,120176112,105975921,91781581,77859040,64669159,52754229,52754228,259046849,92555301,86592450,259345192,114586369,128472324,261141482,176817365,186209378,263127760,207320376,212189701,216167205,265580561,228520273,230109701,265856534,226942982,224902595,222552905,219816716,216574903,212664737,207881088,202076225,195171433,187096907,177824286,262340784,143144851,129814034,115914126,259506298,74290185,257650859,40015599,31337052,31337051,31337050,23844946,17503772,12342348,8338364,5381896,3309488,3309487,5381895,8338362,12342359,255564519,17503767,12342344,12342341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16089475, s2 = 11657233, dlinesl.size( ) = 2 s1 = 16089475, s2 = 11657233, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16089475, Dl.E( ) = 64, 2e-05 seconds used appending s1 = 9436914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15586101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6846812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6846812, s2 = 6497391, int(edited[s2]) = 0 s1 = 6846812, s2 = 6497391, d1 = 65, d2 = 79 Dl.O(d1) = 259180054 Dl.O(d2) = 255237072,18626465,13242156,13242157,254902286,12241477,268109319,16716002,17467030,17375910,17375909,17359706,12238490,8264318,8264317,8264123,8264122,12236709,12236708 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6541620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6541620, s2 = 16335396, int(edited[s2]) = 0 s1 = 6541620, s2 = 16335396, d1 = 33, d2 = 67 Dl.O(d1) = 255759262 Dl.O(d2) = 59149695,59149694,71887453,59149692,59149693,63920562,52101330,256566600,40098697,32866934,25159919,25159922,22690218,22690219,25159912,32866928,38180018,29613141,29613142,38180020,40216111,32866945,25159925,25159924,32866942,38180064,38180067,29613170,255460143,11199273,7431049,7431047,11199266,16122095,22262374,29613148,38180028,48091656,59481145,72218320,85812271,85812268,85812269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6541620, s2 = 16335396, dlinesl.size( ) = 16 s1 = 8313719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7607036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14076325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7574263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1745867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1745867, s2 = 11121213, int(edited[s2]) = 0 s1 = 1745867, s2 = 11121213, d1 = 19, d2 = 51 Dl.O(d1) = 46274079 Dl.O(d2) = 164693927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1745867, s2 = 11121213, dlinesl.size( ) = 2 s1 = 1745867, s2 = 11121213, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1745867, Dl.E( ) = 84, 2.81e-05 seconds used appending s1 = 10193994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2783789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15993073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11151456, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16266661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16191591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16191591, s2 = 6947562, int(edited[s2]) = 0 s1 = 16191591, s2 = 6947562, d1 = 3, d2 = 64 Dl.O(d1) = 15307295,10570965 Dl.O(d2) = 21126385,28338627,36835423,257416971,269772981,84365364,260499635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16191591, s2 = 6947562, dlinesl.size( ) = 2 s1 = 16191591, s2 = 6947562, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16191591, Dl.E( ) = 72, 4.2e-05 seconds used appending s1 = 14071880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14071880, s2 = 9466902, int(edited[s2]) = 0 s1 = 14071880, s2 = 9466902, d1 = 46, d2 = 45 Dl.O(d1) = 3806324,2280057,1322352,1322353,2280059,3806328,6083117,9286065,13562899,254662308,33228390,25479833,18877875,13452763,13452766,13452928,13452929,18878124,25480181,30299177,25479814,25479813,23667288,17349183,17349182,23667283,25479859,18877891,13452773,9199938,6023411,6023410,9199932,13452760,15395673,21377408,28613044,25479714,18877794,13452707,9199907,6023400,6023398,9199902,13452695,16929342,23197729,23197728,30618976,23197764,23197763,30619028,30619738,30619736,39216869,39011199,30421762,23016476,16776280,16776281,11848641,11848640,16929381,23198043,30619454,39216521,49143138,53500004,58624366,47231529,37322652,37322651,47231528,58265733,58265734,70981119,59818856,48432832,38524917,29959595,29959594,30619496,23198064,23198063,30619491,33486466,25711673,19083895,13624950,9329679,6111308,3823804,2290901,2290900,3823801,6111302,9329668,13624933,19083873,25711626,256664243,47935806,47935807,47935845,38022121,29460173,22125773,16011328,16011319,16011320,11116304,7372884,4657695,4657693,7372881,11116295,16011342,22125802,29460095,22125734,22125736,29460103,38021973,29460081,29460080,38021971,47935689,47935921,47246799,47246801,53140779,53140778,46906711,37029436,37029435,38183177,29616023,29616021,33493705,28531285,28531286,34181106,26309614,19584701,14031068,9646357,6342413,3979205,2384718,1380412,785321,785318,1380373,2384667,3810855,3810857,3801768,2277187,2277189,2287103,2287104,3815028,2285352,2285353,2276786,1320295,1320294,761837,761841,1334012,2298207,2298209,3836170,6107879,6115180,3826147,2292281,1330046,759466,759469,1330056,2292300,3826185,6099554,6082818,3809345,2357336,1365122,777663,441306,441304,777649,777747,441325,441327,777647,1364414,2354639,3933275,254311088,13945519,19486392,26195718,34050247,256186180,65675995,79028391,70400949,57707087,46358000,36499943,28036720,20868674,14966482,10298838,255361433,14957857,254705995,4239712,2534946,1460768,826887,826886,1460766,2534941,4239706,3704251,2218571,2218572,3704253,5923941,9060255,6765086,6765087,10290932 Dl.O(d2) = 29295548,21968933,15875387,11004221,11004222,15875388,21968934,29295550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14071880, s2 = 9466902, dlinesl.size( ) = 8 s1 = 14070044, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6586427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058226, s2 = 6786731, int(edited[s2]) = 0 s1 = 14058226, s2 = 6786731, d1 = 23, d2 = 21 Dl.O(d1) = 474403,841224,845688,845689,843184,475699,475698,843176,477598,477600,845964,1486917,844240,476410,267991,267990,476405,477594,478077,478076,478198,846669,1494374,1489444,844140,844141,1490876,849451,849450,1494801,846923,846924,1490734,1490733,844111,844109,1490820,844247,844248,844307,1491135,2584244,2591694,1498894,1498892,2586683,2580946,1486942,1486518,840910,475229,267179,267182,475238,254156959,2583950,4320029,4320564,4323608,2592010,1494835,1494834,2592009,4323371,6886840,4331071,4331072,4323588,4323587,4323615,4323614,6886685,4323178,4323177,4330797,2591163,1494092,1494091,2591161,4330795,4331248,4330132,4330133,2591913,2591912,2586054,2586055,1494738,846881,478204,478205,846908,1494779,1494714,1494715,2591886,2591690,2591689,4320674,4323061,4323062,2590584,2590583,2584262,1494513,846741,478112,478111,846735,1490698,844025,476287,267933,148412,148414,267940,476302,844051,846956,1314127,1314128,2265332,2591500,4322989,4311812,2578345,1485101,1485104,2578352,2579251,2578375,1485116,1485118,1490630,1490629,2586050,2586323,1490815,1490813,847048,478280,478281,847050,254222201,4331735,4311766,2578309,2578308,4311764,6869842,10420872,10414689,6865126,4323246,2586248,2586246,4311666,6869720,10420732,15100686,15100687,15100654,254717063,6865060,255012627,21024800,254739550,33759691,28295860,24290892,17909142,17909141,24290891,31805634,39135952,39135948,39135947,41221212,32397716,28048515,28048516,36512660,46371541,57721873,269869741,39904079,49923773,60168966 Dl.O(d2) = 59175028,258103679,258255583,258443308,17477927,23811789,31297726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058226, s2 = 6786731, dlinesl.size( ) = 2 s1 = 14058226, s2 = 6786731, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14058226, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 14601107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14601107, s2 = 1753102, int(edited[s2]) = 0 s1 = 14601107, s2 = 1753102, d1 = 13, d2 = 0 Dl.O(d1) = 119961364 Dl.O(d2) = 46389178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14601107, s2 = 1753102, dlinesl.size( ) = 2 s1 = 14601107, s2 = 1753102, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14601107, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 14088923, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14153183, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16269083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16269083, s2 = 15103586, int(edited[s2]) = 0 s1 = 16269083, s2 = 15103586, d1 = 23, d2 = 20 Dl.O(d1) = 152818,152822,267743927,267764523,1542369,2664212,4436816,7049180,10672750,15438029,255835007,256326073,47100804,38819532,30236099,22842971,16620158,16619115,254797943,4884159,2943041,2943043,4884166,2943886,2943887,2943908,2943912,2382003,2382001,3975480,6337528,9640510,6337812,3975639,3975637,6337809,9640945,11534711,7673851,7673849,10946933,10946935,15799260,21873988,29185237,37744742,37746314,29185271,21874009,15799275,15799274,21873762,15799097,10946835,10946836,15799099,21873764,15799215,10946903,10946904,255432661,256362011,47666597,44466530,35090131,27004395,20113821,14424627,9922585,6521584,6521585,9922586,14424628,20113822,27004396,35090133,44466532,55312428,67651821,81118392,95176850,109433035,123626523,272461707,137358779,150400019,162530283,173563092,183359386,191923427,264685341,218358929,221271330,223766036,225928739,227815406,229471874,230943752,232262830,233453540,232444694,231149511,229704697,228076421,265231512,221631583,218769245,215378815,211276011,206254984,200182461,192990752,184607292,175006923,164191420,152308406,139578851,126203817,112343413,258217308 Dl.O(d2) = 78320168,92353548,106657958,120910705,261469241,160090888,171318431,181348083,190158122,187480086,178267205,262372423,271881043,102444323,88442616,258295581,50521936,40486367,31791266,31791267,40486369,50521938,62013769,50521934,40486364,40486363,50521932,62013767,74810181,88442612,102444321,116541044,260901420,118215630,104055961,89926279,257817654,257225446,41221266,32397769,24774734,22361601,16208531,11267313,254304272,14028859,9644780,9644779,9921904,14423479,12329645,12329641,17486776,18879155,24176194,17808114,12606872,8555871,5552817,5552818,7681534,7681533,11545957,268233521,30168115,268448426,13378588,18784010,255119555,7735553,4897584,2951668,2951669,3741987,5984337,7586883,4893913,4893912,7730791,4895353,2950194,2950196,4895286,4895429,4895456,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,974132,548406,548408,972421,1710429,1710430,2949312,1714609,974209,974208,1714607,2956980,4906046,7747279,11418010,11630746,7748121,4906822,4906821,7748119,255119991,11610342,7730149,7730147,11607337,255118609,12768085,8678223,5984608,3742155,3742154,5984606,4809540,2898595,1681823,956486,539090,539091,956491,1681842,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871373,7697019,255113933,11412594,7584187,4895092,4895094,7697000,5684171,3535885,2104610,1211835,683484,380811,380808,683475,1211821,2104572,3535825,5684088,8730923,12839168,13523921,9255235,6061445,3792456,3792457,6061448,9255241,10526690,6942553,6942554,4378273,4378275,6969102,8375491,5405371,5405374,3796852,3792002,2271502,1317377,1317376,2271497,3791987,4366884,6068054,3796622,3796619,6068044,9264349,13514184,10700250,10700245,9247513,9247516,9247548,13514704,18951263,25562929,33324250,42304923,52691804,257582018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16269083, s2 = 15103586, dlinesl.size( ) = 2 s1 = 16269083, s2 = 15103586, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16269083, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 14879418, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6738671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1757354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11270408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8339581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8339581, s2 = 7241142, int(edited[s2]) = 0 s1 = 8339581, s2 = 7241142, d1 = 27, d2 = 24 Dl.O(d1) = 84054335,256111970 Dl.O(d2) = 199798917,205951391,211038634,215195899,264446557,192521679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8339581, s2 = 7241142, dlinesl.size( ) = 2 s1 = 8339581, s2 = 7241142, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8339581, Dl.E( ) = 36, 1.19e-05 seconds used appending s1 = 6587582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077913, s2 = 15638720, int(edited[s2]) = 0 s1 = 14077913, s2 = 15638720, d1 = 10, d2 = 30 Dl.O(d1) = 75996518 Dl.O(d2) = 24439677,31997955,25872002,254896164,26012506,255228720,255227164,25378257,19258535,254290426,6181412,3868246,2317052,1343714,1343711,1351170,1351171,2102564,2341660,3911141,3949540,6302382,6302381,254953001,19523399,26240569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077913, s2 = 15638720, dlinesl.size( ) = 2 s1 = 14077913, s2 = 15638720, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14077913, Dl.E( ) = 34, 1.81e-05 seconds used appending s1 = 16197941, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6564430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6564430, s2 = 13150529, int(edited[s2]) = 0 s1 = 6564430, s2 = 13150529, d1 = 78, d2 = 121 Dl.O(d1) = 256015580 Dl.O(d2) = 264447532,194587018,186433740,186433741,263942701,201570014,201570013,194587019,263942701,201570014,194587020,186433742,177079042,166498008,154791850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6564430, s2 = 13150529, dlinesl.size( ) = 2 s1 = 6564430, s2 = 13150529, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6564430, Dl.E( ) = 128, 2.79e-05 seconds used appending s1 = 9372648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9372648, s2 = 11923723, int(edited[s2]) = 0 s1 = 9372648, s2 = 11923723, d1 = 148, d2 = 111 Dl.O(d1) = 19878036,19878037,26698659,34693322,43968552,54712383,54712380,54712381,66971587,80402044,85087930,71515477,58785425,47397428,47397427,255009964,57849594,57849593,46493575,36627155,36627154,46493571,57849591 Dl.O(d2) = 128194537,114311765,100281350,259412480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9372648, s2 = 11923723, dlinesl.size( ) = 46 s1 = 14858768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13426145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13426145, s2 = 1210204, int(edited[s2]) = 0 s1 = 13426145, s2 = 1210204, d1 = 26, d2 = 16 Dl.O(d1) = 70677098,57958317 Dl.O(d2) = 30600810,30600580,23182052,23182051,23182137,23182138,16917269,16508998,16508997,22713141,30094766,38671971,39197102,30600585,23182059,16917109,16917110,23182158,16917099,16917098,16917157,11839500,11839499,16917156,23182224,17470744,17470742,23804042,31290588,39965736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13426145, s2 = 1210204, dlinesl.size( ) = 2 s1 = 13426145, s2 = 1210204, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13426145, Dl.E( ) = 40, 3.5e-05 seconds used appending s1 = 896282, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7675383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7675383, s2 = 7825309, int(edited[s2]) = 0 s1 = 7675383, s2 = 7825309, d1 = 31, d2 = 40 Dl.O(d1) = 272169460,84238539,258026430 Dl.O(d2) = 269772812,46591752,36704886,28213631,255381116,15096989,15142218,10443508,6884739,4321864,4306663,2575058,1482943,1481031,837200,836911,471585,264933,146622,146621,148264,148263,267696,475943,474825,471641,264968,264969,269990,149674,82332,82331,82365,80943,44296,44295,80938,81481,147171,80902,80903,81461,148177,267576,473643,479264,844542,844541,1491415,254489121,254220755,838562,475815,475814,843305,1489683,2580399,267763321,474100,840830,254096995,148086,147084,80855,44256,24585,24586,44259,80861,147097,265701,472798,837771,472137,265264,146827,146826,265261,472130,268620,148855,81860,44799,44800,81865,148859,266037,147301,80973,80974,147307,147274,147273,265973,473248,266644,266646,266539,147569,147570,149208,82051,82052,149213,269023,266471,149057,148068,81401,81400,148063,267421,474487,474489,475664,475662,843133,838721,838723,477637,477636,843198,843199,845804,477478,268687,268686,477354,475342,267255,148879,148880,267298,267299,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268961,474463,474435,266698,266695,266685,266683,474412,841238,842476,842475,1488766,1488399,846515,838973,472988,472987,474998,474997,842151,842152,1488345,2580650,1486600,840976,477345,477344,845666,1484267,839523,473351,473350,839518,846153,477730,477727,475152,475151,842433,846604,478032,269036,254097239,269104,149148,149149,269105,478162,846839,1494680,2586307,1491141,844311,476443,268006,268005,476441,844073,844071,1490773,2586263,4312413,4312411,4322992,2591803,2591804,4331420,4322958,4322959,4331500,2591905,1494728,846875,846876,1494451,1494450,2591558,1494627,1494629,2591766,2598259,2598260,4322963,4322964,4331661,4312884,2586059,2578333,2578332,4311795,6869805,6899546,4331612,2592038,2585968,1490579,1490578,2585962,4312041,4312042,2586077,1490642,843993,843992,844062,1490672,1490671,2578916,2578918,2578782,1494651,846826,846827,1494657,2591816,4312481,4312483,4307062,4307061,4313012,4312915,4312261,2578674,2578673,4312257,6870342,4331384,4331386,4331762,6899654,6886567,4323030,2586038,2586039,2576203,1483785,1483784,2576197,4308429,4331380,4331382,4331610,4331611,4322937,4322936,6869843,6865127,6865128,6886648,6886556,6871736,6871737,6866758,6866757,255012883,6870103,6870102,254327411,2580259,4311645,4311643,6868557,6868558,4312304,4312303,254717665,6863424,4307423,2575635,2575634,4307419,6863419,10412108,15096989,21019887,28213632,36704888,46591754,259980807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7675383, s2 = 7825309, dlinesl.size( ) = 42 s1 = 14940125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8198200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8198200, s2 = 8278696, int(edited[s2]) = 0 s1 = 8198200, s2 = 8278696, d1 = 2, d2 = 79 Dl.O(d1) = 57990423,46614271,46614269 Dl.O(d2) = 97997818,100024724,86061619,86061620,85982425,72387449,59652992,59652993,72387451,84122350,84122351,84122384,258503602,59727907,48343559,48343558,59727905,70585750,57884587,57884586,70585748,77405318,84122389,84122345,81202133,256722304,109512182,97997793,97997794,86803257,73191363,73191362,86803255,90866748,76988503,76988502,90866747,81202135,81202136,95258094,109512185,99956444,99956443,99956450,269494652,63877513,52058590,52058591,257183628,60444963,268967231,30514338,30514337,39111497,49041218,55398640,67737615,60265111,48872488,48872489,52400017,48872287,38952626,38952627,48872289,48872291,38952628,38366318,29793484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8198200, s2 = 8278696, dlinesl.size( ) = 2 s1 = 8198200, s2 = 8278696, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8198200, Dl.E( ) = 80, 2.79e-05 seconds used appending s1 = 15607739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13207239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13207239, s2 = 248411, int(edited[s2]) = 0 s1 = 13207239, s2 = 248411, d1 = 48, d2 = 2 Dl.O(d1) = 25462551,18862295,17818686,16895082,11823020,11823021,16895085,19695297,14121711,9715567,9715568,14121712,19695298,26433438,24193848,17824544,17824545,23041836 Dl.O(d2) = 6066389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13207239, s2 = 248411, dlinesl.size( ) = 24 s1 = 14063518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14908217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6588844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15988647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1768465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1768465, s2 = 11271188, int(edited[s2]) = 0 s1 = 1768465, s2 = 11271188, d1 = 6, d2 = 65 Dl.O(d1) = 46702306 Dl.O(d2) = 84489489,259287163,58207781,46839658,36960594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1768465, s2 = 11271188, dlinesl.size( ) = 22 s1 = 2309323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14855164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6749015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6749015, s2 = 1740482, int(edited[s2]) = 0 s1 = 6749015, s2 = 1740482, d1 = 8, d2 = 14 Dl.O(d1) = 258055252,46739464,36857788,28359825,28359824,36857787,37136867,28624074,21386453,15402937,15402936,21386449,28624065,37136851,36857809,36857810,46739493,46995906,46995905,46944684,37065552,28563884,21337045,21337043,28563878,37065542,37116725,37110642,37110641,37116669,28607027,28607028,37116639,33480787,25707250,25707249,21386809,19080339,15403150,15403149,21386816,28624515,34186639,26314726,19589218,19589223,26314739,34186657,26404753,22710517,21372697,15391937,10637308,7022130,4416277,4416278,7022139,10637324,15391971,21372756,28607220,37116884,47002704,58372804 Dl.O(d2) = 47888908,44802432,35377797,27253075,27253074,25127369,18574815,13199796,13199798,15145646,15145647,16270570,16270569,17694968,12515388,8478767,8478768,12515389,17694970,24047963,24049180,17695955,16827233,11767041,7856154,4986221,4986216,7856138,255130483 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352962, s2 = 9087830, int(edited[s2]) = 0 s1 = 10352962, s2 = 9087830, d1 = 24, d2 = 20 Dl.O(d1) = 261080248,259279927,258028615 Dl.O(d2) = 256840200,10485601,6913387,4342074,2599673,2599674,254492389,6913388,10485603,15202247,21157994,28375092,21157991,21157990,28375090,36871668,36871666,256301489,21157989,15202244,15202243,21157987,28375085,36871663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352962, s2 = 9087830, dlinesl.size( ) = 20 s1 = 14509359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14044338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044338, s2 = 11657415, int(edited[s2]) = 0 s1 = 14044338, s2 = 11657415, d1 = 57, d2 = 67 Dl.O(d1) = 1634503,929493,929491,1634500,1595503,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297968,531315,941995,1655585,1896130,1082256,607830,607831,1082262,1889012,1077952,605446,605444,1077944,1889000,1085708,1085709,1902006,1901564,1085432,1085431,1901559,1902653,1086124,609891,339282,186292,186296,339296,609915,1086176,1901954,1901955,1085694,609653,609654,1085700,1901988,1654983,1654985,2852104,2853652,1656009,942351,942350,1655466,1655464,941934,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172700,5200516,8117602,8227993,5299005,3249852,1908068,1908067,1918441,1118108,1118106,1957442,1904478,1904477,3244844,5293653,5296015,3247016,1906008,1088155,1088154,1906006,3218256,1885710,1075862,604360,604359,1075861,1885708,3218251,5263039,3219966,1914739,1914737,3259007,5308839,8236506,12162327,12136306,8166296,5236081,3196141,1870921,1870922,3196143,3196065,1870866,1067192,1067190,254261645,5235978,8166212,7815812,4958412,4609580,4609582,254759327,4731664,2850849,2850850,4731666,7487414,11279534,8176498,5246107,3204402,3204403,5246110,4627667,2886321,2886320,4788563,5090319,4750745,2863201,1661814,1661813,2863197,4750733,3205081,3205079,5243685,3202319,1875035,1069648,601139,601140,1069668,1676914,954056,537919,537921,953990,953989,1627076,925221,925222,925225,1627081,2804756,4655620,2804733,1627068,1627069,2804735,2765078,1602752,1602751,2765076,2804737,4655625,7369552,7369684,4655704,2804785,2804784,4655701,7369679,4655725,4655723,7369719,255074955,22118696,22118631,22118630,29452485,36896264,255964926,10497473,6922130,4348729,2604554,1503111,1503112,2604555,4348704,4348703,6922089,10497426,15218137,21178259,28398550,28398851,255134806 Dl.O(d2) = 84617791,91906002,77981805,64788038,52869255,52869257,64788043,77981809,91906005,77981807,71053392,58337346,46969342,37087813,28583014,21353253,21353258,21353243,21353244,28583000,37087795,39260404,39260403,49186233,55714919,55714918,58669805,58669804,58670191,58669759,58669758,71404155,84978342,72602072,59864229,48472694,38559677,29989773,29989772,38559641,29989741,29989740,38559638,48472674,257509950,49186235,256878297,28829364,28829366,37369427,35383949,27258634,20324512,20324513,256239467,37369203,47278781,47278971,37369418,28829359,256043338,21558446,20324523,20324524,27258647,21558068,15537368,254738977,7099504,10745624,15537374,15537225,10745531,7099435,4470015,2685680,1555787,1555785,2685673,4470004,7099407,7099503,7099496,7099495,7099497,10745612,15537144,15537145,15537231,15537296,21557551,21557550,21557631,255844843,28828805,21557979,268210131,15536993,15536992,21557582,255042355,7099510,254738979,15537086,254738953,4469975,4469976,7099375,10745445,15537101,21557708,15537312,10745591,10745590,15537311,15537360,15537361,21558061,28828374,28828392,37368446,31414925,31414924,40094703,32051278,24485739,18062625,12805779,8707144,5668416,5668417,8707146,12805784,18062635,21855068,21855069,15783622,10934358,10746028,10746029,15537931,21558751,28829732,36787450,36786998,36786997,46673087,256022040,29161419,29161421,37721192,29161453,21853003,15781949,10933041,10933026,10933024,15781928,21852906,15781879,15781880,10933018,10933019,15781922,15825500,10966820,7258965,7258964,10966818,15825498,255058645,7234780,7234781,10934451,10934457,255430989,10932769,10933532,7234511,7234512,10933534,10933367,10933368,15782025,21853099,29161527,37721278,29162160,21853659,269798604,10933351,15782348,15784190,10934760,10934762,15784194,15782456,15782455,21853570,29162064,37721899,37721974,29162165,29161485,21853058,21853059,21853074,21853072,29161493,21853468,21853467,21853473,255866189,21854557,29162164,21853663,16907580,11832458,11832459,16907581,21855992,21854551,15783215,15783214,21854549,29163199,37723116,256629490,29164691,21855954,15784320,10934858,10934860,15784322,21855956,29164696,37724575,37724637,37724636,37724640,47646498,49115524,39186783,30589291,30589290,37724550,255866371,21855975,23171037,30589311,39186797,49115496,39186751,39186752,49115497,52006040,41693763,37321755,32776771,25079457,18536133,13170710,8978096,8978095,268138127,25079455,23170988,23170989,30589252,39186739,41693759,32776761,25079449,25079448,28785587,28785588,22198420,22198419,29541722,38105026,48015269,49905723,61386135,58172763,58172762,269784125,37256137,28724569,28724568,37256136,47161411,47161394,37256125,37256124,47161391,39884919,39884920,49905711,255919566,37837072,255919564,271326377,31229182,31229184,39905932,39905933,255843724,23185110,16919317,16919316,15860012,15860014,21950263,21950264,29273467,37839745,47352572,37446027,28906831,21632718,21632719,23745370,256512231,49925416,261282383,141221932,268961564,22436279,255094041,7132343,7132344,254728597,267823853,2627901,4386787,6981690,5255152,3211458,1880959,1073050,1073052,1880963,3211461,5255157,8185821,10802946,7138102,4494142,2700116,2700117,4494145,7138107,10802953,15613881,21645563,28920774,22009264,22009263,17438235,12291944,12291945,17438238,15817251,15817250,268395013,22785424,22785425,28915215,21641378,268388521,21644645,21644644,28908722,21634362,21634361,17902606,12682163,8613803,8613804,12682164,17902609,17005043,11918298,11918299,17005044,23268548,21695209,15654920,10835920,7162935,4511407,2710920,2710922,4511413,2711063,1570551,892960,254161351,1570719,893059,503910,282591,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570889,2711712,4512567,4512068,4512070,7164037,5099509,5099512,7712154,7163422,5099629,3095342,2861541,2861542,1705429,969441,969442,1705435,2940977,4513623,4513622,4747310,4747312,4683727,2821972,2821973,4683733,7164874,4668779,4668777,7390313,7165164,7165163,10838888,15657915,11171663,7411796,7411795,11171660,16085449,15656779,10837641,10837633,10837634,254437146,16611480,15602488,10793847,10793848,15602491,255242524,15606743,255416341,16269444,22436767,18536682,13171208,13171209,18536683,25079949,23627583,23627584,17316919,12192109,12192108,255995601,17262276,17262277,18536487,13171037,13171036,18536486,16384022,16384023,22563636,22326197,22326198,256341599,28912744,31119482,23632881,23632880,22107476,15996148,15921832,15921830,12156321,8186671,5256048,5256047,8186666,7520817,7520819,11047969,7323009,7323011,11047973,11324802,11324801,16283664,22452904,17235109,12116440,8147220,5219263,5219262,254832299,17235102,23543494,31024869,39701981,49720479,61198853,73976972,87575037,73976970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044338, s2 = 11657415, dlinesl.size( ) = 20 s1 = 6605035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6605035, s2 = 13342104, int(edited[s2]) = 0 s1 = 6605035, s2 = 13342104, d1 = 2, d2 = 7 Dl.O(d1) = 36898077,46775994,58143686,257004622,70857949,58143682,58143681,256460176,46775984,46775983,255130434,58143675,46775979,256460182,36898107,255814397,15219570,21180212,28400746,35307433,256460178,46776015,36898105,28400739,21180209,15219569,15219568,21180207,28400734,36898101,46776012,256842289 Dl.O(d2) = 257004626,36898088,28400726,28400727,256460174,36898072,36898077,46775994,58143686,257004622,258655295,256842291,15219567,10498426,10498425,15219565,255814395,36898087,46776005,58143695,70857953,70857883,58143605,46775911,36897990,28400645,21180133,255020299,10498392,15219519,255020307,10498424,15219563,21180198,28400719,36898075,257421071,58143691,46776000,46211504,36381113,27936776,27936775,36381109,28400739,21180209,15219569,10498427,10498428,15219570,21180212,28400744,36898066,36898067,36898002,28400652,255902162,15219764,10498560,6922830,4349131,2604769,1503214,852160,481316,481315,852156,1503203,2604739,4349082,6922717,4349066,4349067,6922719,10498396,15219525,21180146,25033274,28399488,36896980,28401118,21180537,255814441,21180536,28401117,36898455,46776317,39377544,30776044,30776045,26696438,19876088,19876090,19055846,19055843,19778081,14166519,14166521,12511297,8475867,5478814,5478813,8275854,12253973,17389224,23712873,25302638,33028871,41971987,36648410,36648406,28172782,20991785,15078223,10400198,6855789,4302584,2572515,2572514,4302583,6855788,10400196,15078217,15078218,10400195,10400194,15078220,20991779,28172776,36648397,36648401,33561385,25772003,267994238,9354618,9354617,13660683,19131918,25772000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6605035, s2 = 13342104, dlinesl.size( ) = 2 s1 = 6605035, s2 = 13342104, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6605035, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2131170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2131170, s2 = 15929924, int(edited[s2]) = 0 s1 = 2131170, s2 = 15929924, d1 = 9, d2 = 4 Dl.O(d1) = 84418520,70861268,70861269,70861268,58147117,46779560,46779561,58147119,257032816,57873227,46517608,36650438,28174711,28174712,36650440,46517609,57873229,257264508,97985362,111924740,125744620,139085586,151789265,163664215,174497399,184142072,192588813,192588768,184142034,174497374,163664201,151789258,139085583,271613528,163664205,174497381,184142046,192588783,199857402,206002068,211083001,215236190,218657508,218657507,221537535,221537536,218657597,218657386,218657381,218657382,221537459,218657581,215236238,215236237,218657579,264669424,218657203,221537290,264909168,221537168,221537380,218657300,215235979,215235978,264669430,215236070,263778728,206002007,264109818,218657134,264109808,211082721,215235804,264669416,224006105,224006252,221537552,218657512,215236186,215236184,273952362,215236187,218657514,221537554,224006322,224006059,221537145,218656997,264669402,218657472,215236144,211082966,264109822,206002048,273279672,184142042,174497378,174497379,184142045,192588781,199857398,206002056,211082982,215235842,211082749,206001898,206001897,211082747,215235840,218657173,221537256,221537130,218656986,218656974,218656973,264909162,224006233,224006234,221537480,218657415,215236081,215236079,218657412,221537479,218657533,218657536,221537565,224006336,226145127,224006032,221537053,218656893,215235625,215235626,218656950,218656994,218656995,221537141,221537494,221537355,218657273,215235949,211082829,206001958,206001959,211082834,215235958,218657282,218656876,215235572,215235571,218656871,221537033,218657099,215235774,215235775,218657102,221537224,221537092,218656927,218656926,218657227,218657226,221537315,224006151,224006107,224006108,221537423,221537422,224006229,226145263,228006428,226145164,224006076,221537183,221537125,218656982,218656983,218657000,215235670,215235671 Dl.O(d2) = 206001830,211082575,206001798,199857237,192588675,192588676,199857244,263778708,211083090,206002138,199857447,192588810,262546862,184142032,192588762,199857268,192588695,184141985,174497349,163664188,163664187,174497343,184141996,192588715,199857297,206001891,211082730,215235817,218657150,218657240,215235903,211082788,206001930,206001927,211082781,215235887,215235971,211082867,211082868,215236009,218657342,221537117,218656977,215235653,211082624,206001829,206001830,211082575,206001798,199857237,192588675,192588676,199857244,206001809,211082586,215235603,218656914,218656920,215235608,211082589,211082590,215235614,218656933,215235780,215235781,218657107,221537230,218657196,218657197,218657180,218657181,221537276,221537294,218657534,218657536,221537565,224006336,226145127,224006032,221537053,218656893,215235625,215235626,218656950,218656994,218656995,221537141,221537494,221537355,218657273,215235949,211082829,206001958,206001959,211082834,215235958,218657282,218656876,215235572,215235571,218656871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2131170, s2 = 15929924, dlinesl.size( ) = 2 s1 = 2131170, s2 = 15929924, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2131170, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 16266172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16279577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16279577, s2 = 14065145, int(edited[s2]) = 0 s1 = 16279577, s2 = 14065145, d1 = 40, d2 = 43 Dl.O(d1) = 11049893,7325207,7325208,11049894,15926724,22027645,24727480,18254680,18254679,14060976,13632951,13632950,12500849,8467984,6011557,6011554,8777844,8917542,8935141,8769736,8769735,254293430,24636449,32234074,41026465,51183016,51183017,51183008,41026460,41026461,254636148,24636449,32234074,41026464,51183013,62833040,51183009,51183010,62833041,75797067,72414094,59678904,48291903,48291904,59678906,70467022,57768030,57768031,53947856,43421797,43421796,53947852,57768044,70467032,84000278,70467053,70467054,63830460,55461906,55461694,55461695,58263995,67803410,67803411,58668711,47277215,37367288,37367287 Dl.O(d2) = 218763793,215373144,211269915,263906500,192982927,184598649,174997503,260604382,152298517,139568622,269812766,98349317,84439457,70882034,58167908,46800470,254777524,21200655,28423874,29877424,22520655,22520656,29877428,38436268,48339910,39153227,30555526,23138075,23138076,17649662,12478138,12478137,17649660,14397264,14397262,20080175,22447220,20868056,14965970,10298359,6771067,4243945,4243944,6771060,10298346,14965947,20868014,23614932,23614931,27203407,27203409,21510528,21510529,15501292,15501295,17191106,17191108,18741033,18741058,18741074,18741076,25319425,33047531,39901424,39901423,49921033,49370457,39442080,39442079,48160607,52767590,42368340,42368341,50312036,57858526,49370569,49266416,46692671,36809160,28312427,28312423,31467185,23971514,17622734,12441657,8410014,8410013,12441652,17622721,23971496,31467154,37305765,37305764,47212413,50187233,48305980,38395321,38395322,48305982,40161472,31476933,31476934,31476939,29169963,29169962,37730306,47652272,50193110,61668705,58601725,58601726,58601715,58601717,60148662,50188585,40164318,40164319,47212470,47212472,48302647,48302648,59689267,50185889,40161560,31477012,23980407,17633691,12456081,8424350,5437584,3342655,3342653,5437575,8424334,12456043,17633631,21045193,21045191,28244597,36739979,31476729,31476730,40153369,254186878,23973704,17802527,17802528,13734809,13734808,19226659,25886660,28809253,21541673,15525195,15525194,21541672,28809249,32773861,25076594,25076593,254861168,41690564,51350007,41164803,32349922,24734160,18261129,18261128,24734145,32349887,31386636,23890039,17543246,17543243,23890032,31386624,29851756,254407088,16314012,22486318,29851748,38419716,41657669,32747189,32747187,36739069,32747114,25055928,18518139,13157330,8968096,8968097,13157332,18518143,25055936,30837802,30837803,39441509,49369928,39442126,39442127,40159771,39339781,30741018,30741019,30838726,23409424,17134687,17134690,23409429,21510458,15501244,10720126,7082431,4459053,4459052,254140196,15501235,21510438,16558101,11541472,11541473,16558094,22772536,30161102,38744127,47211838,47257178,47257177,52380047,48666306,38744566,38744565,48666305,60062924,48770686,48770685,50185753,59145531,48770455,38850555,30266633,30266634,38850558,48770458,60164841,59145582,47746951,37824873,29259679,29259680,30161204,22772604,22772602,30161220,38744270,32107503,32107502,38304643,38304644,46628692,46628693,43419991,34319111,26441029,19701838,19701836,23994408,23994406,30741814,23321107,23321106,23977241,23977242,31473430,39820349,31490647,29259647,21938600,21938599,29259641,37824822,31483923,23986806,23986807,17641039,17641040,17640985,17640984,23986855,31484008,31484252,32107322,40880047,38304979,29737022,22378966,16222377,16222378,22378968,254917690,22378878,16222312,11277163,7485904,7485903,4770524,4730671,4730667,7485872,11277093,16222172,13371050,13371049,14360221,9867416,9867417,14360224,20045717,254298358,37849952,254918274,44872342,35433608,31647807,31647806,40336431,37849969,29282055,21956914,15864873,15864871,21956912,23567618,23567617,31051776,39730389,44566203,50051997,41370095,41370094,51594512,46927692,37049621,256084622,58293438,67754170,73054785,60314249,48916117,46927695,37049623,28549786,21325087,17256093,17256094,20924790,15017024,10345007,10345006,15017022,20924786,28100598,35188841,44567086,46436676,40811561,32051588,24486034,18062829,12805940,10606032,6997756,4397745,4397746,6997758,10606035,15353057,21325089,27099950,35188707,28549788,28549787,27099853,27099852,20200556,20200271,20200272,20200559,14494683,9973272,6554665,4106266,2456163,2456162,4106264,6554664,9972513,6554128,4105908,2455946,2455947,4105911,6554134,9972518,14493725,20199350,27098822,20199719,14494036,14494037,14494105,14494104,20199807,27099325,35188104,35188005,27099210,27099209,35187610,256227821,14494017,9972754,6554306,4106028,4106029,6554307,9972755,14494019,20199696,14494217,9972912,6554419,6554420,9972913,255335597,14493977,9972718,9972719,14493979,9973066,9973065,14494263,9972948,6554441,4106115,4106113,6554440,9972943,14494254,20199995,27099520,35188294,256052128,55414793,67755038,81221321,95278768,109533524,106902745,92583732,78536062,65245866,53256281,42803480,256163723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16279577, s2 = 14065145, dlinesl.size( ) = 2 s1 = 16279577, s2 = 14065145, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16279577, Dl.E( ) = 44, 1.88e-05 seconds used appending s1 = 2133519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16217925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6538921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6538921, s2 = 10626023, int(edited[s2]) = 0 s1 = 6538921, s2 = 10626023, d1 = 21, d2 = 19 Dl.O(d1) = 255728457,19828023,26640150,34630208,40215599,34630295,26640199,26640198,26640286,19828113,14203841,9764304,9764305,14203847,19828121,26640300,34630426,43902972,34630377,26640265,26640266,34630380,43902978,54645831,47859353,37940097,29374091,22043262,22043263,29374090,37940095,41603726,41603738,32700901,25017429,25017430,32700904,36948264,36948245,28448216,21221825,21221824,256307503,46826130 Dl.O(d2) = 260507401,139587268,152316188,164198813,175013909,184613900,175013920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6538921, s2 = 10626023, dlinesl.size( ) = 16 s1 = 6458405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6458405, s2 = 11433200, int(edited[s2]) = 0 s1 = 6458405, s2 = 11433200, d1 = 23, d2 = 24 Dl.O(d1) = 254715472,254715474 Dl.O(d2) = 263070672,263834602,264710868,215385304,211283237,211283236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6458405, s2 = 11433200, dlinesl.size( ) = 26 s1 = 14092937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092937, s2 = 1335456, int(edited[s2]) = 0 s1 = 14092937, s2 = 1335456, d1 = 113, d2 = 14 Dl.O(d1) = 259988944 Dl.O(d2) = 33565126,35076610,44451538,55296112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092937, s2 = 1335456, dlinesl.size( ) = 8 s1 = 2137624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2137624, s2 = 14044750, int(edited[s2]) = 0 s1 = 2137624, s2 = 14044750, d1 = 4, d2 = 19 Dl.O(d1) = 58235692 Dl.O(d2) = 7022863,4416780,4416778,3476158,3476159,5600039,268005611,17903943,24284840,31798970,38110630,38110629,48020708,257591768,58768447,58768448,51527840,51527841,63243636,59141047,47742347,46749136,255521068,29547152,31798980,31798981,29415593,22085235,21091603,21091602,28299892,22146397,22146398,20230880,20230882,27137803,28932441,28299883,21091595,15150230,10981476,7926236,254816127,16944946,21654920,15620118,15620119,21654922,28932447,24284005,24284004,31797922,29484675,22203493,22203492,21933372,15845845,15845846,21933375,29254421,29484681,31597364,40281591,37834704,37834703,47757268,47757275,47757276,257012158,47752994,37830579,29268500,21946206,21946205,21665870,15630170,10816300,7148327,7148328,10816304,15630177,21665884,28944727,37486812,29267962,29267963,21946275,15857125,10990758,7275647,7275648,10990767,15857142,21946299,21987073,15890745,15890742,16906280,11831219,11831218,16906275,21933598,15846016,15846014,12490946,12490947,17664097,24011097,29254748,29254747,29272037,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276621,10992150,15668752,15668751,21711185,20940836,20940837,21253140,25361086,30729516,23311135,23311136,28243326,21044224,15115898,10426430,10426433,15115891,10991413,7276090,4588683,2760732,1600406,1600405,2760726,4588667,7276062,10990526,7275507,7275505,7275719,7276137,7276138,7276281,10991688,15858466,21948078,29270665,35103596,44480020,55326125,49825131,39804196,256000165,23638167,17322515,12197618,12197617,17322512,21266006,15304142,10568232,6970623,6970624,10568235,15304145,13536342,9265943,6069123,6069125,6954120,10544629,15278564,21245179,15283053,10548763,10548762,15283051,10979581,10979582,12260731,12260732,13342833,9116300,9116299,13342830,18742970,254163342,18963287,267887614,15258477,12058864,8107932,5194649,3169579,3169577,5194644,5199212,3171952,1856789,1856790,3171957,5199221,8115509,10546983,7067239,4449599,4449598,4583001,4582999,7267303,8112554,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052875,9241898,9242337,10548800,13514520,12053979,12053980,15258048,10526768,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269421,2269417,2622126,2622125,4377871,6067396,6067397,7484806,5193825,5193824,8106468,12056964,9252881,254595422,18957404,25567702,30857915,23426377,17148600,17148599,21247874,15281834,15281835,21247875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2137624, s2 = 14044750, dlinesl.size( ) = 2 s1 = 2137624, s2 = 14044750, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2137624, Dl.E( ) = 20, 2.5e-05 seconds used appending s1 = 11190140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1381629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1559475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1559475, s2 = 15900744, int(edited[s2]) = 0 s1 = 1559475, s2 = 15900744, d1 = 76, d2 = 287 Dl.O(d1) = 39446985,49375485 Dl.O(d2) = 7377256,11122431,16019140,12400151,8380230,8380232,12400156,8602168,7676000,4857062,4857060,7675992,9251891,10590772,6986322,6986323,8281787,8281791,10590791,8375872,5405565,5405568,5385194,5385196,8280944,12262020,17399628,23723524,31209727,23895386,17549468,12379281,10471530,10471531,15181272,21129982,28342283,28475790,28475791,29856217,22491541,16318253,16318254,22019776,22019777,22472527,21296523,16317738,16317740,15924035,15924034,11046778,7321617,7321616,11046776,15924033,22025209,29355874,29859501,38424520,29941003,22577960,20303762,20303761,22023342,29354347,37921596,31069513,31069514,31070477,38002675,38002674,39829174,31147047,23660268,17343434,17343435,23544163,29485330,22146964,16027991,16027990,16303586,16303587,22473298,23585763,17273455,16355411,16355412,22528164,29859506,29859507,36798933,28301782,21093109,15151185,15151184,16095250,11405148,11405147,16387032,22567732,16873127,11803812,7883961,5006988,5006989,7883964,11803817,16873135,23133422,28301130,27998208,20833894,14935321,14935320,16095011,11179069,7417312,7417313,4687366,254526915,11179229,16095268,22229414,23357783,23357782,22229468,254327684,19366123,26045311,254718570,25485314,268227536,16736928,22973490,21095446,15152805,10450183,6888907,6888906,10450180,15152800,21095437,28304517,36801207,29408285,22077693,254764774,4644161,4644163,7352253,11086752,15971994,22077714,27233767,20304490,16303979,11993434,8045065,8045066,11993437,17081267,23348526,21093225,15151260,10449272,6888446,254719581,11923164,11923163,15832475,15832476,21093077,21093078,28301744,22230504,16096042,16096043,11718167,7819860,7819858,10449824,6888738,4324651,4324650,6888733,10449813,15152170,16303823,14485665,14485664,20189082,15287810,15287811,19351928,13840602,9493735,7538546,4768874,2874962,2874961,4768868,7538532,11344047,16303915,22473726,29841062,29841116,35356415,28303134,21094271,15152001,15152002,21094274,28301927,35356621,35356622,30782445,30782444,28304874,21095721,21095722,16356325,16356324,22528988,29883797,36801606,36801607,44780469,36800161,28303227,27233865,20304556,14571420,10026887,10026886,14571418,20304549,22320184,21094232,21094233,22077921,22077920,23138791,16878570,11808545,11808544,15152506,21095021,25089727,18544575,18544574,22473851,22473852,18543027,13175633,8981410,5863710,5863709,8981407,13175628,18543013,14571300,10026816,10026815,14571240,14571237,20304263,26045063,26045064,28303077,28303078,36800021,41703121,44780667,36799983,28303031,21094192,21094191,28303028,36799980,35356021,28304932,28304931,25089253,25089251,31095885,30627036,254744222,23612310,17299312,12177393,8209075,8209076,12177377,17299281,17299245,17299246,23612226,254744058,32787634,25089865,25089864,25087895,22208727,22208726,28891186,21615090,15585503,15585504,21025047,21025046,18544934,18544933,25090460,21615087,21615088,17299235,12177352,8209059,8209060,12177354,17299240,23612213,22518325,22518326,29875417,38434537,47341318,48338406,38434540,38434539,47341316,37433867,28892429,21616255,15586402,15586403,21616257,28892432,28891233,21615127,15585534,15585535,15612287,15585539,10781614,10781613,10453194,10453193,6890700,4325784,2587971,2587970,4325781,6890694,10453186,267966310,255028258,22676569,19190598,13705729,9387379,9387380,255283921,19190599,256674093,33649006,42678929,53129997,65115514,78397812,92434130,260313607,134788744,142841788,129524767,115639777,101599589,87632693,74029099,256915314,49770379,53720912,43209062,43209061,43209063,53720913,60666903 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13170093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2140430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14093168, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14095133, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16075503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16075503, s2 = 8932541, int(edited[s2]) = 0 s1 = 16075503, s2 = 8932541, d1 = 25, d2 = 27 Dl.O(d1) = 268243430,48248998,59635983,256476100,99921847,258208996,139767274,126391865,112521448,98526693,259020940,71037822,58322268,46955149,256120304,21343734,18514385,14420681,9919217,9919216,14420679,255744819,35084635,42034549,42034548 Dl.O(d2) = 236232424,237065693,237826479,237065689,266699429,237065691,266628475,237826481,238518437,238518436,239151998,239349386,238732490,238060829,237321846,236510235,235621097,266140858,228019321,226158183,224020232,221553957,218679673,264275080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16075503, s2 = 8932541, dlinesl.size( ) = 2 s1 = 16075503, s2 = 8932541, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16075503, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 14159857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159857, s2 = 14164293, int(edited[s2]) = 0 s1 = 14159857, s2 = 14164293, d1 = 12, d2 = 11 Dl.O(d1) = 262961301,160250571,148002372,134881949,121079606,106819620,92507792,258444649,65184081,78468068,79199880,65837856,65837855,258444650,89608852,75826569,75826570,75826572,62862550,51212452,41055179,32260733,32260732,35096330,44473028,36992580,28495105,268610219,58238866,70892159,58238905,257265624,28495111,28495110,36992587,46871273,58238896,70955660,84449138,259285143,84449135,98358812,84519067,84449134,70892116,257423933,36932088 Dl.O(d2) = 70892131,84449149,70955674,70955675,84519079,259107338,70955656,70955658,84519064,98440626,271613824,259107336,58238882,46871264,46871265,58238883,70955644,84519047,98440612,98440635,98440634,271086054,70892141,259285147,108709819,94422774,80369241,66943810,66943811,72723230,59985737,257241960,43945109,43945113,54687507,257834534,84449151,84449153,261085403,152306555,164189616,175005141,184605562,192988973,192988976,273848065,211274242,215377092,218767601,265133473,214797023,210566934,205389110,199131306,191731502,183125237,173279097,162184907,162184906,162184908,149977304,136843351,123012494,108743554,94450181,94450180,108743551,112521535,98526769,84601972,71037921,58322382,46955259,37075072,28571946,255398215,15368980,269964574,46955260,58322383,71037922,259297137,112521539,126391971,139767389,139767390,152487942,164355334,175148114,184702311,263091690,164322074,152448535,139722969,139722968,126347092,112479571,112479570,112479572,98488002,84564872,71000935,58285745,46919922,37041971,28543015,21319678,21319679,21319677,15349103,10603301,6995971,6995972,255825593,255635817,13105264,13105265,18448535,24967432,18448430,18448429,24967430,32637436,41523665,47766347,47766346,59165084,47766291,268628299,21952901,21952902,29276763,37843663,47766276,47766275,47766083,37843399,268396299,15861979,15861980,21952750,15862053,15862052,21952875,29276716,37843606,47766248,59165062,59165057,59165056,47766244,47766243,52049310,52049311,63868475,258102717,258051910,44568427,44568428,55415746,67755936,63587592,60125284,60125285,72862218,72462179,59726539,256102958,29880173,38438643,256617176,257465174,100023568,98360202,84450523,70893668,257647906,72890862,257569218,48761256,60155017,71514246,71514247,85086678,91250827,77331103,77331102,75307348,255417616,50827241,62409255,67755959,64183801,52333624,52333625,60155013,256343376,84450521,70893667,58179619,46812403,46812405,48761255,38841903,30258308,30258309,256988495,47396124,256518750,257465176,64183807,52333626,52333627,48760493,48760494,60154197,72890073,72890072,72890070,72890071,64183804,256014254,33051008,33051006,31050274,23565895,23565896,31050277,39729091,49748121,61227304,72890509,60154639,48761268,48761266,48760483,38841128,30257568,30257567,38841126,48760480,52333615,50827242,42805043,42805044,53257987,255859780,48521254,48521255,48761400,40723217,40723218,48521111,38606013,38606012,48521108,48860682,38941125,38941124,31343339,31343340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159857, s2 = 14164293, dlinesl.size( ) = 2 s1 = 14159857, s2 = 14164293, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14159857, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 1624732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1624732, s2 = 9674091, int(edited[s2]) = 0 s1 = 1624732, s2 = 9674091, d1 = 8, d2 = 83 Dl.O(d1) = 41104552,41104553,46959116 Dl.O(d2) = 71041619,258670709,71042325,258670839,71042282,58326703,46959365,46959364,58326702,270288637,258339109,51285090,41105172,257140165,62960481,62959322,62959321,75940717,71042320,58326721,46959377,37078810,37078809,46959374,58326718,71042314,71059231,58343009,58343008,71059226,84622743,85492670,259970345,89721065,75941993,75941992,89721056,75941983,62960530,62960529,62960504,51285101,41105177,32294733,24683815,18217371,12921255,12921257,18217376,24683825,29280200,21955488,15863862,10995309,10995308,15863861,21955487,29280197,37847861,47770839,59169724,62008895,62008897,74805687,84605989,89720766,75941698,75941697,75942026,74805698,74805699,88438401,102439393,103824929,103824928,89720772,89720773,103826097,98529758,98529755,112524280,103825900,89720589,75941575,62960148,62960150,62960337,51284968,51284969,269938695,258964459,62959363,62959364,75940774,259591549,103824961,89719544,75940582,62959187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 594695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15392071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15988409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15988409, s2 = 6734054, int(edited[s2]) = 0 s1 = 15988409, s2 = 6734054, d1 = 85, d2 = 67 Dl.O(d1) = 15698705,10867552,10867553,15698710,15921506,11044196,11044195,10525841,10525842,11491077,11491076,15900186,15698474,10867387,7185204,4526648,4526651,7185214,10867407,7904876,5024795,5024797,5024827,5024828,6905843,4337462,2596736,1497987,1497988,2596740,4337475,6064957,6064959,9260058,12512431,15293969,10558554,10558557,15293973,13520730,13520731,13508392,12251539,12251540,15475670,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274467,3797330,254654915,7066978,8108290,8108291,12059379,10551032,10551031 Dl.O(d2) = 257838680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15988409, s2 = 6734054, dlinesl.size( ) = 30 s1 = 8121981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1789634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1789634, s2 = 10209443, int(edited[s2]) = 0 s1 = 1789634, s2 = 10209443, d1 = 1, d2 = 42 Dl.O(d1) = 47045516 Dl.O(d2) = 112639360,272181201,164437079,272834564,262173676,263497285,263497846,193140692,262173678,260525196,139870448,139870450,126504290,112639359,98642496,98642498,112639363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175610, s2 = 9202833, int(edited[s2]) = 0 s1 = 11175610, s2 = 9202833, d1 = 10, d2 = 9 Dl.O(d1) = 10619056,7007927,7007926,10619055,15368729,20918161,28092379,256727814,21425208,15433238,10669304,7046628,7046627,10669302,15433236,21425204,28672728,37194948,47090731,58468616,71190500 Dl.O(d2) = 71190501,269782030,42026718,52364840,53270956,42818499,33785785,25975153,19307766,19307765,25975152,33785783,31684444,31684443,40378042,257678321,74696555,88324166,102319793,116412188,127625330,140974969,143577588,130249126,130249127,143577589,156113945,156196763,143666385,130341234,130341233,143666382,143666381,130341235,116504737,102409540,88409475,74777986,61981780,50489787,40453984,31759604,31759605,38024574,38534258,38534257,257543829,258776709,270110094,85681691,72095143,72095144,64442042,52566800,42206275,33244701,25494307,18889675,13461423,13461426,17553589,12383129,8367813,8367814,12383135,12376922,12376924,17383196,12383769,8368237,5400836,3320698,3320697,3323291,3323292,3324653,5404596,3322749,3322752,5404608,8374388,8379976,12399822,8380272,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679861,7787349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175610, s2 = 9202833, dlinesl.size( ) = 12 s1 = 8015783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11127198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11176070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176070, s2 = 5351388, int(edited[s2]) = 0 s1 = 11176070, s2 = 5351388, d1 = 20, d2 = 18 Dl.O(d1) = 256328627 Dl.O(d2) = 221737434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176070, s2 = 5351388, dlinesl.size( ) = 34 s1 = 6803013, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11200254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9088490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9088490, s2 = 7910331, int(edited[s2]) = 0 s1 = 9088490, s2 = 7910331, d1 = 7, d2 = 7 Dl.O(d1) = 147419652,159764719,165354255,153564994,140890558,140890559,153564995,140890561,127535055,113663416,99649581,259367407,72115016,59382885,47993195,38080627,29516115,22174434,16049797,11144229,11144230,16049800,22174436,29516116,29521370,22178877,22178876,29521368,38085813,47997902,59386856,258742767,99652209,112909379,98921798,84996936,71423793,58690840,47300175,37390954,37390953,47300174,58690839,60641263,60641264,73387496,70324301,70324290,70324291,67576121,55233599,44383340,35005229,26923349,26923348,35005227,44383339,44383343,35005232,26923352,20038144,14353813,14353812,20038141,19866957,19866958,26685634,34679500,43954341,49325415,39397206,39397207,43188557,34102828,34102827,43188554,53700345,43188510,255489212,19521818,19521819,26239230,26239247,19521827,13974531,13974532,19521829,26239245,34102825,43188551,53700388,65757625,58814031,58814032,53700392,53252701,53252700,65242259,53700409,53700410,55411286,55411285,53252702,42800100,42800101,44563612,44563613,55411284,58233075,46865181,36986679,36986680,46865182,39483730,39483728,44563707,44563708,46865197,36986692,28489830,21273545,15312315,10575439,8119022,5201340,5201339,8119020,12073894,17171909,20167501,18013766,18013767,24425830,31979414,40726323,35115974,27029324,20136658,14442600,14442599,20136656,27029322,34085592,35067295,35067296,29826687,29826686,38398987,29826682,22459314,16291343,11334432,11334433,13964901,9588632,6294325,3942552,3942553,6294328,9588635,9380502,6145236,3845316,3845315,3509434,3509435,5645749,254883081,18013768,15469467,254734756,7066632,10696555,15469465,21471994,28729518,37261608,47167584,58556527,71288506,84862884,98791205,112783615,112250690,98270996,84362515,70803925,58087026,46715267,36832721,28336258,21124258,16088411,11174038,7413628,7413627,11174033,16088408,11206287,11181825,11181828,16098818,22233670,29581304,31174887,23686145,21543041,15526320,15526321,21543044,28810847,37349425,28934327,255384032,23143100,30560091,38695909,40908894,32131236,32131235,39157240,41442589,32576368,30629946,23207080,23207078,21108376,15162700,10456710,10456711,15162704,19797879,14181089,9748870,6410248,4021504,2409683,1394303,1394308,2409701,4021542,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177806,14177808,17760633,20280810,14551841,10012972,6581135,6581136,8522226,8522224,12567229,17759662,24120980,31626345,40314509,50340192,61823253,74614913,73075887,60335366,48937555,39014389,30425563,23020646,16780269,16780268,256455969,256133824,26670227,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,3850079,6153253,8092347,12036969,17127732,23399803,255890004,24919646,18411300,13077196,13077195,16667273,13077286,13077285,18411412,255110035,8911097,5815061,3627356,2921743,2921742,4848744,7663668,8875228,5786930,3607320,3607319,5727554,3566088,3566089,5706312,8763789,12874214,12735030,8653860,5628872,3497625,3497626,5628877,5706831,8764386,5843123,254636951,8755346,5700379,254626907,5709776,8768271,12891726,8768276,255222073,13151449,8963878,8963877,8754178,5699537,5699536,8754175,8763791,8875267,13032786,12874015,8755179,8755180,255221039,12872640,8754174,5699535,3546450,2111818,1216849,1216848,2111813,1216852,1216850,2111826,3546464,5699561,5699503,3546426,2111805,2111804,3546416,2111801,1216844,1216843,2111799,3546412,5699479,3546578,3546577,5699723,3626102,3546403,3546404,5690131,3539780,3539778,5690126,8740312,12852871,18125957,18154795,12873935,12873936,12874112,8755266,8755267,12874117,18155008,24602898,24691450,24691448,255141752,40969977,32190396,32190393,256582057,40969970,32190412,24602651,24602653,30294663,22896150,22896149,30294660,38880469,40969960,32190563,24852505,22896172,16666106,16666108,20232875,14518743,14518742,20232871,27140534,30294679,22896160,16666100,16665116,16665114,22894942,24366063,24366064,27140523,20232860,20232861,27140524,22894625,16664837,11631476,11631475,16664833,16664998,16664997,16666431,11632561,11632563,16665591,11632000,7749194,7749195,11632005,16665599,16666146,11632367,7749415,4907795,2958161,1715241,974585,548639,307088,307087,548632,974574,1715223,2958118,4907630,2958066,2958067,4907636,7749133,7748889,4907510,4907507,7748928,11631587,16665008,22894827,22894849,22895981,16665922,11632211,11631724,7749020,7749021,268095221,16665385,16665384,22895356,22896451,22894976,16665142,11631948,7749157,254801617,11631730,11631731,11631764,254549845,2958035,1715190,974554,548621,548620,974551,1715182,2958015,254801587,16665136,22894967,22894859,16665051,11631614,11631615,11632104,11632106,11632449,16665957,11632227,7749322,4907743,2958128,2958127,4907739,7749312,11632209,16665916,22895757,16665936,16665937,22895069,22895115,16665435,11631894,11631896,16665443,16666021,16665183,16665181,22895042,22895059,16665198,11631704,7749003,4907559,2958022,2958023,4907566,7748979,7749151,11631937,11631955,11631786,7749046,4907585,2958037,2958040,4907589,7749054,255121253,22895235,30293682,38879573,39171751,257010849,48801634,38879403,30293504,30293505,38879405,256642046,60199297,48802521,38880259,30294385,30294386,255948039,11632566,11632567,16666449,22896604,30295202,38881011,48802461,38880211,38880210,48802471,41733988,41733986,52048578,54596745,66855532,71546521,58818136,58818137,71546392,58818165,47431697,47431696,58818162,63867664,58818022,47431578,47431575,58818014,71546410,78689064,77450608,71546489,58818102,47431657,47431658,58818107,71546470,71546471,71546478,61467208,49989708,49989707,61467206,74245889,71546356,58817971,47431551,47431552,58817976,71546363,258804999,100495369,95619781,95619782,101825180 Dl.O(d2) = 147419652,159764719,165354255,153564994,140890558,140890559,153564995,140890561,127535055,113663416,99649581,259367407,72115016,59382885,47993195,38080627,29516115,22174434,16049797,11144229,11144230,16049800,22174436,29516116,29521370,22178877,22178876,29521368,38085813,47997902,59386856,258742767,99652209,112909379,98921798,84996936,71423793,58690840,47300175,37390954,37390953,47300174,58690839,60641263,60641264,73387496,70324301,70324290,70324291,67576121,55233599,44383340,35005229,26923349,26923348,35005227,44383339,44383343,35005232,26923352,20038144,14353813,14353812,20038141,19866957,19866958,26685634,34679500,43954341,49325415,39397206,39397207,43188557,34102828,34102827,43188554,53700345,43188510,255489212,19521818,19521819,26239230,26239247,19521827,13974531,13974532,19521829,26239245,34102825,43188551,53700388,65757625,58814031,58814032,53700392,53252701,53252700,65242259,53700409,53700410,55411286,55411285,53252702,42800100,42800101,44563612,44563613,55411284,58233075,46865181,36986679,36986680,46865182,39483730,39483728,44563707,44563708,46865197,36986692,28489830,21273545,15312315,10575439,8119022,5201340,5201339,8119020,12073894,17171909,20167501,18013766,18013767,24425830,31979414,40726323,35115974,27029324,20136658,14442600,14442599,20136656,27029322,34085592,35067295,35067296,29826687,29826686,38398987,29826682,22459314,16291343,11334432,11334433,13964901,9588632,6294325,3942552,3942553,6294328,9588635,9380502,6145236,3845316,3845315,3509434,3509435,5645749,254883081,18013768,15469467,254734756,7066632,10696555,15469465,21471994,28729518,37261608,47167584,58556527,71288506,84862884,98791205,112783615,112250690,98270996,84362515,70803925,58087026,46715267,36832721,28336258,21124258,16088411,11174038,7413628,7413627,11174033,16088408,11206287,11181825,11181828,16098818,22233670,29581304,31174887,23686145,21543041,15526320,15526321,21543044,28810847,37349425,28934327,255384032,23143100,30560091,38695909,40908894,32131236,32131235,39157240,41442589,32576368,30629946,23207080,23207078,21108376,15162700,10456710,10456711,15162704,19797879,14181089,9748870,6410248,4021504,2409683,1394303,1394308,2409701,4021542,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177806,14177808,17760633,20280810,14551841,10012972,6581135,6581136,8522226,8522224,12567229,17759662,24120980,31626345,40314509,50340192,61823253,74614913,73075887,60335366,48937555,39014389,30425563,23020646,16780269,16780268,256455969,256133824,26670227,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,158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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9088490, s2 = 7910331, dlinesl.size( ) = 2 s1 = 9088490, s2 = 7910331, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9088490, Dl.E( ) = 8, 1.5e-05 seconds used appending s1 = 9202482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9202482, s2 = 6943128, int(edited[s2]) = 0 s1 = 9202482, s2 = 6943128, d1 = 41, d2 = 64 Dl.O(d1) = 64259013,52403576,42059665,257192919,63714429,76063016,76063017,89856684,103974479,112785645,98793376,98793377,98793372,84865120,84865121,84865117,71290825,71290826,258061663,47169976,47169977,257665906,71124591,71290836,58558878,58558877,71290834,84865106,71290812,71290811,58777057,58777058,71506390,84865142,98793364,98793363,112785642,256735460,84865109,98793362,85078394,71506356,58777031,58777032,71290820,84865113,71506364,58777037,58777038,71506327 Dl.O(d2) = 260417093,95594611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9202482, s2 = 6943128, dlinesl.size( ) = 16 s1 = 6592249, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1444671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 329972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13238049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14573739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14573739, s2 = 15347112, int(edited[s2]) = 0 s1 = 14573739, s2 = 15347112, d1 = 13, d2 = 25 Dl.O(d1) = 256697883,53688434,257675726,39217192,39217191,49143781,51606894,51606892,60543318,49143783,39217192,30620017,23198447,255137403,7919287,7919286,5034881,3048504,3048505,5034883,7919294,11848787,16929641,23198489,30620085,37260459,37260458,47166324,58555264,58555262,58555263,49143856,49143855,60543185,49143634,49143636,60543187,73286553,84861860,86896813,86896814,84895880,71322118,58588763,47197421,258063651,58588774,47197433,37289094,28755230,21495960,21495959 Dl.O(d2) = 154354582,165097552,165097553,153283801,272850401,153283817,140603695,260364104,99398360,258484036,71872900,85457548,271325855,269579412,59134870,71872893,85457530,71872887,71872886,59134885,59134880,47736345,47736344,59134878,71872898,85457546,99398356,271618286,113399343,127257785,140603687,134758167,120961407,106707820,106707821,113399333,113399332,127257780,140603648,127257761,113399319,99398338,99398337,113399317,99398345,85457538,71872891,71872890,71872903,270313103,99398366,113399354,269492184,127257783,140603682,153283809,165097564,175823129,185328910,175823130,165097565,153283811,140603684,140603685,261528182,127257777,127257778,140603678,153283807,165097509,260660704,127257759,113399315,113399314,127257754,113399349,113399348,127257793,127257774,113399325,99398341,85457534,257767426,113399320,127257765,140603651,153283768,260252898,165097515,153283765,259636212,175823070,185328862,185328905,175823121,165097560,261235800,154752894,142118226,128762724,114865402,258820386,142118225,154752892,272237234,165097537,153283778,140603673,272548737,165097556,175823119,175823075,165097517,165097516,175823072,185328861,175823137,175823138,261953932,193622045,261953934,190181073,190181074,197783767,272365134,175823113,165097549,153283792,140603664,140603663,140603701,140603700,153283825,165097583,175823144,185328921,193622077,185328903,175823117,261953938,175823141,185328865,193622049,262914906,211681979,264043758,193622055,185328871,263525155,263331016,262914908,165097546,153283786,140603660,140603659,153283784,262453956,153283782,153283780,165097541,175823107,185328897,193622071,200729681,200729678,193622064,193622052,193622053,200729670,197139983,197139982,273732538,263331014,165097523,165097522,175823083,166459991,154752927,154752926,262768151,166583863,154883544,154883545,166583864,273144322,177157290,166583870,154883550,142249543,128897796,114995688,114995689,128897799,142249545,154883553,154883554,166583871,177157293,186505287,186400362,177043018,166459988,166459987,263200291,194556651,263589882,194652580,186505275,261782120,194652590,261235794,177157310,262293462,142249554,128897805,114995694,100941487,100941486,114995691,128897801,142249549,154883557,166583874,261782122,177157272,186400358,186400360,194556650,201543612,207424996,201630077,194652585,194652586,201543624,201543623,260660694,261782114,194556642,186505289,177157299,166583876,166583875,154883559,154883560,166583882,177157305,166583883,166583884,262301749,142249552,272582492,260660698,186505291,194556667,260660700,207425008,212274848,216237456,219522386,216296641,212342199,207502005,201630081,194652592,194652593,201630084,260660696,214853552,214853555,210636798,205475424,270351304,173485026,173485027,183290661,177157303,177157302,272237232,194556666,186400387,177043060,177043061,261782116,177043070,166460037,166460036,177043067,262293460,201543631,207425009,207425012,201543632,195110300,195110299,202022888,207836692,206070965,199952662,192711901,184292209,174669155,174669154,184292206,191863145,199236515,205475425,261235790,186400403,177043087,177043086,177157283,166583857,166583856,166583861,166460035,154752983,142118347,128762832,260061210,154752985,166460040,177043074,186400392,260061216,187031081,177757494,167265194,167265195,177757497,259444596,163851370,259444592,192711904,186400405,177043090,166460057,166460054,166460055,177043084,166583854,166583855,177043079,166460049,154752992,142118350,128762835,114865513,114865511,260061212,154752988,166460043,177043077,177757492,167265193,155636118,143086681,143086682,155636121,167265197,177757500,184292211,174669157,163851375,151982344,151982343,150306939,150306938,162442802,173485033,165843965,154074695,141400752,141400751,258197198,176499221,166460063,154752999,154752998,166460061,166460044,258197206,257008556,137266081,137266079,257008554,137266078,256464164,162442808,173485035,165843967,154074696,141400753,141400754,154074700,165843969,173485021,162442793,150306929,150306930,257589282,259444584,205475420,261235786,262293458,273144325,142118343,260061214,154752976,142118342,142118313,128762797,114865471,114865472,258820382,128762730,114865411,114865410,128762726,272582491,177043058,166460030,258197204,128762830,114865505,114865506,128762831,257008550,100814105,86832893,73220402,73220403,86832895,100814109,114865502,261235797,154752962,142118316,259444590,257589286,100814018,86832825,86832824,100814016,100814121,86832907,86832901,73220408,73220411,86832904,100814116,101959220,87986034,74383207,61606546,61606545,74383205,87986033,101959216,116004317,256464158,100109807,100109806,100814012,86832823,255133016,60473972,73220329,255963136,100814023,114865416,258197212,73220419,60474074,49070994,39141000,30542568,30542569,39141002,49070997,256464170,86832912,255963130,100109801,86143688,72545379,72545380,73220415,73220416,78548361,78548360,73220327,60473971,49070888,39140875,39140876,49070892,60473976,73220331,86832827,95089196,81030999,81031000,268098946,86832909,86143683,269819279,38517132,38517131,48424528,59810357,72545377,86143680,72545391,72545390,255517810,59810362,48424532,48424531,59810360,53268460,53268459,42815538,42815537,53268455,255963126,48506236,59810370,255963128,86832797,100813998,114143478,100109795,86143684,86143685,100109798,114143476,100109793,268967840,65258164,53268464,42815542,33783028,268763681,30018671,30018672,38591278,48506238,39140832,39140831,49070841,268657602,86143700,255133014,59810366,59810367,59810391,48424559,38517152,29952522,22588774,255100943,7592650,11422724,16406334,22588772,29952520,38517150,48424557,59810387,72545400,73220290,73220288,60473923,60473922,258197210,86143698,72545395,59810380,48424545,48424544,59810378,59810388,257008558,29952516,29952515,256464148,59810374,257008544,60473919,73220293,60473927,49070844,257589277,73220296,86832800,255517814,95089198,81031001,254811644,59810383,48424553,38517147,38517146,257541999,48424543,59810376,55800073,48424549,38517144,38517143,256464150,49070878,39140864,30542449,23124066,23124065,30542447,39140859,49070875,60473949,73220318,255963140,255133024,255133022,81752703,254557964,55218268,55218269,67561835,60473929,255133018,268240492,16864294,11796194,11796196,16864297,23124047,255963120,49070848,39140860,39140861,49070877,255963134,60473964,60473965,72038010,256464176,44870591,44870592,55800072,68227718,255133026,68227721,59301764,55218271,44367151,39140878,30542464,23124075,16864318,11796224,7877710,7877709,11796221,11796198,7877695,7877696,11796200,255517803,255517816,47906882,37990763,37990762,47906880,59301757,72038016,257008548,49070881,49070882,59810381,256464172,81752705,81752706,256464174,268422070,39140838,30542461,30542462,30542457,23124071,23124070,30542455,39140871,255517818,59301766,47906889,47906890,255133020,85626293,85626282,72038012,72038011,85626281,270870473,60473969,49070887,49070886,255963118,268098944,30542451,39140849,30542439,30542440,39140851,49070861,59301772,47906893,47906892,59301771,72038026,72038023,60473936,49070854,39140840,30542431,30542432,39140842,49070858,60473941,257589278,256464152,47906902,257503443,59301773,258115394,86832814,73220315,73220314,85626292,99576582,113592827,114865407,100814009,86832819,73220323,73220322,73220307,60473933,60473932,73220304,86832805,99576584,85626299,72038038,59301785,47906903,37990775,37990776,37990771,37990770,47906895,59301775,72038029,72038034,85626286,85626295,85626296,99576579,99576573,99576572,113592824,127468373,127468375,268422072,67574715,55232070,55232069,255738632,85626290,99576577,256464154,59301798,47906912,255887518,22097546,15988811,255449041,29428798,37990773,47906899,258113413,60473938,60473939,73220313,86832812,100814006,114865404,113592829,257903794,109355150,268547092,81043018,85626307,72038047,59301792,59301793,72038051,85626313,85626316,72038054,59301796,47906910,37990781,37990780,258113415,72038036,270316887,72038032,59301780,47906898,47906897,59301777,47906906,47906905,59301789,72038041,259362157,113592830,127468379,137279124,137279123,150320949,140828125,127468385,113592838,99576590,85626309,85626310,99576588,113592836,127468382,140828123,260660690,105665791,91442153,77512135,64346349,52475982,42120889,33164618,33164619,42120890,52475984,64346352,77512143,259980459,113592832,127468381,127470731,113595384,113595385,127470724,113595381,113595382,127470726,140830093,263140429,170748316,159400667,272459776,133771235,271797684,127470728,133771239,259982582,99579412,85629330,85629329,99579411,260580961,140830090,261786674,30620087,30620088,34180805,268659385,3048503,3048491,1776004,1012576,1012575,1776002,1012577,570783,319719,254102835,1012579,1776007,3048497,5034872,7919264,11848735,255522757,23198369,30619906,30619865,30619864,39217018,255968655,255137395,7919250,5034864,3048493,3048494,5034867,7919256,11848723,16929551,11848722,255137399,23198350,30619878,257014445,60543160,73286524,86896655,100875883,100875884,100875887,100875886,86896657,259415628,259449997,86803218,73191297,60444862,49041090,49041089,39111367,30514226,23098532,16842595,16842594,16780990,11733281,7833702,4972622,4972623,7833704,11733285,16780995,23021623,30426735,23021621,16780993,255511495,255511579,16781621,23022501,30427913,33224137,39769306,31090661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14573739, s2 = 15347112, dlinesl.size( ) = 2 s1 = 14573739, s2 = 15347112, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14573739, Dl.E( ) = 26, 2.19e-05 seconds used appending s1 = 13292737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14604202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14604202, s2 = 11143549, int(edited[s2]) = 0 s1 = 14604202, s2 = 11143549, d1 = 0, d2 = 0 Dl.O(d1) = 256220225,44469721,55315639,67655095,81121606,95179993,84949453,71373279,58636342,47242627,256661496,10731503,10731505,10623433,10623434,10682430,7056661,4442483,2668506,2668507,4442486,7056668,10682443,15450336,21447031,18870138,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416285,7657769,11511583,16517967,22723118,25704380,33477775,33216850,25470090,18869941,18869938,21673809,18580077,13203900,9001156,9001157,13203879,18580037,23026942,16784881,11735898,254931790,7835314,11735896,16784878,23026939,30433183,26160756,26160755,21069103,15134056,13927505,9559410,6272472,3927233,3927231,6272432,3927218,2351052,2351051,3927217,6272429,9559327,13927336,19461227,26161241,29821913,29821912,257534237,72427341,72206186,59468526,256936326,38165175,48077920,59468528,259992311,127637132,261717131,165433820,263898107 Dl.O(d2) = 256220225,44469721,55315639,67655095,81121606,95179993,84949453,71373279,58636342,47242627,256661496,10731503,10731505,10623433,10623434,10682430,7056661,4442483,2668506,2668507,4442486,7056668,10682443,15450336,21447031,18870138,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416285,7657769,11511583,16517967,22723118,25704380,33477775,33216850,25470090,18869941,18869938,21673809,18580077,13203900,9001156,9001157,13203879,18580037,23026942,16784881,11735898,254931790,7835314,11735896,16784878,23026939,30433183,26160756,26160755,21069103,15134056,13927505,9559410,6272472,3927233,3927231,6272432,3927218,2351052,2351051,3927217,6272429,9559327,13927336,19461227,26161241,29821913,29821912,257534237,72427341,72206186,59468526,256936326,38165175,48077920,59468528,259992311,127637132,261717131,165433820,263898107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14604202, s2 = 11143549, dlinesl.size( ) = 2 s1 = 14604202, s2 = 11143549, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14604202, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 15095129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15095129, s2 = 11575616, int(edited[s2]) = 0 s1 = 15095129, s2 = 11575616, d1 = 42, d2 = 41 Dl.O(d1) = 257292717,48753811,268653192,38469442,48371031,59753449 Dl.O(d2) = 226338094,266217461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15095129, s2 = 11575616, dlinesl.size( ) = 2 s1 = 15095129, s2 = 11575616, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15095129, Dl.E( ) = 52, 1.6e-05 seconds used appending s1 = 15086750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1202652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2163050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8014245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8014245, s2 = 14133321, int(edited[s2]) = 0 s1 = 8014245, s2 = 14133321, d1 = 91, d2 = 101 Dl.O(d1) = 255260635,9179611,9179617,12709385,17936864,21183444,21189361,21189360,28410873,36908195,36900335,28403091,28403092,28495656,21278395,21278396,28495658,28420948,21198429,15233997,10508962,10508963,254966032,258073061 Dl.O(d2) = 154342462,262752885,184052857,184052856,192509620,263929461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2163734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1806615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1806615, s2 = 9220689, int(edited[s2]) = 0 s1 = 1806615, s2 = 9220689, d1 = 37, d2 = 281 Dl.O(d1) = 47351684 Dl.O(d2) = 155077782,142433503,260609496 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15906277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15906277, s2 = 10186044, int(edited[s2]) = 1 s1 = 2051440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2051440, s2 = 79665, int(edited[s2]) = 0 s1 = 2051440, s2 = 79665, d1 = 5, d2 = 0 Dl.O(d1) = 53378760 Dl.O(d2) = 1652818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2051440, s2 = 79665, dlinesl.size( ) = 2 s1 = 2051440, s2 = 79665, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2051440, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 2168539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9466566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15730593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2171265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14556961, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 290841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10216511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15477185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13665291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15585355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16029349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16029349, s2 = 632260, int(edited[s2]) = 0 s1 = 16029349, s2 = 632260, d1 = 12, d2 = 15 Dl.O(d1) = 193592857,185295559,175784391,165053383,153235355,140554100,127208376,113350129 Dl.O(d2) = 59074527,47674141,254447510,21878353,15802836,10949966,10949968,15802840,16178146,15840413,10976956,7265492,7265494,6534512,4094312,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,15333359,17582109,23157882,23157883,23716369,17392581,15885358,12390416,8373159,5403906,5403907,8373162,12390422,14208798,9767828,6422162,6422163,9767830,255315593,268069248,12262357,15804003,10951010,7247496,6057648,3790382,2270671,2270673,3790391,6057669,9249425,12380299,8365753,5399377,3319908,3319907,5399372,8365742,12267677,8284337,8284340,7679878,7679879,7787351,4937090,4859536,4859539,7679750,8375835,5405550,5405553,8375847,12394002,17382503,12402215,9205701,9205700,255170137,23769409,30683129,30683128,23308547,23308546,21934199,21934200,29255273,37751577,29190004,21877988,255266566,12169867,17291012,23603953,22335308,16187827,16187829,22335312,254468834,25475963,18874477,13449759,9197593,254314652,15756296,10911987,10911986,15756290,20072205,14389051,14389050,255054140,35036247,29079234,29079233,37629754,47535575,41904659,32965418,25243606,18673664,13281718,9065879,5928067,3706726,2219923,2219922,3706724,3370622,1983436,1132927,1132930,1983448,3370639,3721257,4929505,2973432,1725542,980990,980989,1725535,2564439,1476754,835422,835423,1477715,2566368,2566244,2556168,1472336,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229040,4229039,6749241,4285720,4285718,6831091,10322566,9072646,9072644,6818564,6818563,10354178,15026337,20934412,28111109,36583559,46449218,53694727,43183206,34098244,26235382,19518717,19518718,23266321,255334962,32545264,24896345,18394165,13065049,13065048,18394162,17200608,17200607,23484023,255751276,49465810,257225372,73619685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16029349, s2 = 632260, dlinesl.size( ) = 2 s1 = 16029349, s2 = 632260, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16029349, Dl.E( ) = 16, 2.22e-05 seconds used appending s1 = 8140457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 618147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 618147, s2 = 16188978, int(edited[s2]) = 0 s1 = 618147, s2 = 16188978, d1 = 0, d2 = 25 Dl.O(d1) = 15858119,21947548,255047000 Dl.O(d2) = 35255415,27156368,20244670,14526773,9995409,6569078,6569079,6518805,4084454,4084455,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,740036,1296623,1296657,2235917,254646301,13353819,9936612,6530879,5970384,3733678,3733677,5970382,9123930,13351671,15354917,10607892,10607893,13101500,8928882,8928883,7000398,7000399,10609358,14418419,9916895,9916896,9921219,9921220,12710780,8636152,6166989,6166990,6994045,9413198,9413200,11646455,7759131,7759133,7758995,7758850,5765793,5765795,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971374,9125357,13353310,18047447,12793754,8698036,5661562,5661561,8698032,9412373,6166791,3858663,3858664,6166794,9412377,6999160,4398815,2635824,1522057,862940,487011,273861,151703,83368,83367,151700,273854,486990,862897,1521970,2635676,254498499,10607638,15354658,255256038,13705418,13705417,19190294,13780004,9447888,9447889,7055597,4592597,4592598,7282442,11001190,14443674,255030333,10608282,255396367,10604136,10604137,6996552,267962589,7051972,7051970,10676471,15442828,21437772,24330869,17942538,12714212,12714213,17467664,12315001,12315002,10630046,7016591,7016590,10630044,14418696,14418697,14420337,9918824,9918823,14419701,14419700,9921141,6520567,4085569,4085568,6520562,9917131,9136225,5978626,5978628,5978646,5978644,5978665,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,6994773,10601761,12314988,12314990,17467649,21319308,18091035,268080466,9455758,9455757,13349602,254645929,5968852,9121851,6995674,6995673,9996457,9996458,7008341,7008343,10619568,15369219,19231663,13739558,9413166,9413168,8719993,8719994,8685739,5652283,3514320,3514319,5652277,8685726,6569078,6569079,6518805,4084454,4084455,4092281,4084893,4084892,6519504,6531157,6531158,9936997,8635926,8635925,8719454,12710752,8636127,5616392,5616393,268011930,8650979,5626878,5626879,8650981,12731161,17965236,256054379,40594872,268217946,35326793,254516500,267788908,6578751,6578754,10009677,9413116,6167360,6167361,9413118,13739511,18754076,13353511,13353510,13739686,17938105,15354749,10607727,6999088,4398589,4398591,4398742,6999342,10608036,12788638,12788636,14444281,14444278,20137616,255126136,6530539,6530540,6530529,6530528,6530284,4091772,2448085,2448084,4091770,6530281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 618147, s2 = 16188978, dlinesl.size( ) = 2 s1 = 618147, s2 = 16188978, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 618147, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 14888927, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6476912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6476912, s2 = 6848584, int(edited[s2]) = 0 s1 = 6476912, s2 = 6848584, d1 = 16, d2 = 30 Dl.O(d1) = 254969504 Dl.O(d2) = 259455067,87109250,101107363,115185725,129117790,142495357,155139829,166833557,177382084,186699045,194813382,201758116,199697108,192405459,183936352,174271847,163422066,151538590,141593382,128242196,114364479,100339612,259249404,60047175,48650520,257388538,256272768,16548446,16548445,22760658,30147736,37899618,35248502,35248503,27150077,20239566,20239565,255878825,22000470,256047108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6476912, s2 = 6848584, dlinesl.size( ) = 2 s1 = 6476912, s2 = 6848584, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6476912, Dl.E( ) = 32, 9.78e-06 seconds used appending s1 = 8283854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8283854, s2 = 9684775, int(edited[s2]) = 0 s1 = 8283854, s2 = 9684775, d1 = 32, d2 = 16 Dl.O(d1) = 261596138,97941388,84068472,84068473,71904010,59165829 Dl.O(d2) = 70409219,68134682,55736817,55736816,47176744,37270802,28738393,21480654,21480653,24212636,24784512,18302777,18302776,23264475,17000720,17000722,19653096,19653097,16584080,12991756,8844473,8844469,12991744,18302747,16448344,16448345,22636480,23625184,24214063,17843745,17843744,21960610,26678338,19860660,18330789,18330790,19860821,17841018,12633908,12633911,16422362,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573746,5573749,8578307,12634201,13421745,13421744,12361193,12361192,16659188,16210438,11268497,11268495,13421738,18838201,25252097,18681293,18681297,14198368,9760273,9760275,11837344,7911090,7911089,11837338,14092404,12573081,12573080,11838701,11838703,14092474,11837033,7910929,5029156,5029152,7910905,7911938,11838744,16916127,19663312,26397334,23181364,16916387,16916388,16916367,16916089,11838720,11838721,16916091,23181095,30599748,39196346,267929402,23606330,24105970,25078377,25078375,255254170,41692689,52004872,63821049,63821046,63821047,76928972,86416530,72821629,257535166,47745484,47745486,59144118,71882260,74971004,259552761,261334961,125694508,259882245,258636569,57830565,46474672,46474673,50650384,268732034,24363930,17968463,17968464,256054717,40600524,269292597,268597477,27955765,257382131,70301590,259276342,33654263,256674365,51997242,257778565,42014393,42014398,52353709,42014385,42014384,52353708,64204021,270326256,72262545,73005358,73005357,258141630,257904580,62102799,62102798,74906391,88544914,84429859,70872536,58158499,46791086,256304963,28415792,36913489,29281695,29281694,37849563,258503521,66873916,80303219,258677514,35361558,27238714,20308539,14574277,14574276,20308536,25008313,18481202,18481201,25008308,32688146,36775543,28279482,28279483,25004991,25004992,32683979,41580848,50945305,40822796,40822795,41566106,32672464,24996088,24996087,25006517,32686112,27238624,27238623,35361455,41583882,269062327,39056035,39056034,46660891,58033704,51871827,41579859,41579858,41586561,41579868,36954018,28453484,21226422,21226421,28453482,36954014,32686269,32686267,27238706,20308534,20308533,27238702,35361551,44785545,42803431,33771462,33771463,28279485,21074862,21074863,15138239,15138240,21074870,21226420,28453478,36954010,46832185,37653316,37653315,41566100,44785475,35361469,27238632,20308476,20308475,25006558,25006557,32670683,24994498,24994497,32670679,41564020,33771195,33771196,42803122,41566518,32672835,32672834,25571052,25571050,33330875,40429139,40429140,32031298,25006646,18479790,18479792,25006652,32686275,41583961,39850039,31167944,23679574,23679573,25962176,33771468,28279478,28279479,32686246,25962611,19296890,19296891,21885513,29197719,37653322,29104378,29104379,32031295,32031294,29197730,21885518,21885519,29197734,32686170,25962324,25962326,29197737,37759190,47558577,40429213,40429212,42801499,47681364,42801550,42801538,42801537,52698182,42311198,42311199,40429154,31734904,24226378,24226379,31734890,32686265,41583953,37759224,29197780,21885549,21885548,29197777,25962179,25962178,33771472,42794894,37653303,29104362,29104363,29104510,29104402,25960915,21806142,15745112,15745113,21806147,29104373,29197744,21885527,15809306,10955344,7250907,7250908,10955349,13796509,19296886,25960882,33769796,25960891,25960890,33769804,42801505,33769858,25960936,25960934,33769856,40429196,31734960,24226434,24226383,17854639,12644393,12644392,17854634,24226377,31423754,23933282,23933283,21806135,21806134,29104352,24226456,24226455,31734937,28424005,28424001,28423999,21806271,21806183,15745137,10904697,7211983,7211982,10904690,15745126,21806170,15809326,10955363,7250922,4572392,4572391,7250916,9460509,13795793,13795775,13795774,13795782,19295760,20308491,19295788,13795801,13795800,19295784,25960944,24226442,17854672,12644411,8585360,5578645,5578644,8585354,12644398,17854648,23933287,17590620,17590619,17590594,17590593,23933243,24226371,21885563,21885554,21806196,21806197,15745205,10904744,7212011,7212010,7211993,4543948,4543947,7211987,10904705,12229820,8257437,8257438,10955359,9460531,6203004,6202994,6202737,3882360,3882358,6202730,9460060,13795784,19295762,256043421,268449531,268623885,15745149,17854658,13796604,9460587,6203039,3882538,2324903,1958035,1118465,627547,268046856,5415720,8392149,12416367,17590518,17590517,12416366,12416365,17590515,23933139,255285745,1340760,765741,435513,435514,765746,1337264,2304359,2304360,2314024,1342270,766457,766459,1342275,1363508,777059,777060,441099,441101,248956,248957,441730,439581,439580,774170,771654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8283854, s2 = 9684775, dlinesl.size( ) = 40 s1 = 11208428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 78439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 78439, s2 = 14115501, int(edited[s2]) = 0 s1 = 78439, s2 = 14115501, d1 = 3, d2 = 8 Dl.O(d1) = 1622864,2797630,254349840,11006233,7286495,4595058,4595057,7286492,254259822,15878241,15878339,15878340,16883205,16883206,21971930,15878284,11006827,11006826,11812155,7890438,5011439,5011438,7890436,256372295 Dl.O(d2) = 272827666,200771292,206763183,264771632,16989529,11904128,7961823,5064733,254253247,1789214,1789209,1789207,1021616,1021618,1791304,3071717,3068908,3068906,5043256,3071582,1791211,1791208,1022913,576442,322564,178306,98154,54307,30736,30737,54309,98163,178326,322603,576506,1023115,1790465,1021043,575341,321998,321999,575347,1021053,841837,841839,1487824,1792467,1022367,1014977,572114,320448,177302,97685,97688,177311,320465,572146,1015031,1014580,1014581,1779451,1031538,581308,579790,579789,1028976,1802485,3085892,3090318,5092365,7999498,11950414,16386033,11404612,11404610,16386300,17664047,15891555,11016772,11016770,12367309,12367310,11404220,11404222,16385707,15622764,10809351,10809350,15622759,21657153,15622705,15622706,21658331,28936442,21658088,15622522,15622523,21148502,21658093,23296077,21657534,21657536,24011067,17664069,12490935,8460136,8460135,8460263,5466429,5466430,8460269,12491102,17664322,16910656,16910657,23174885,23296072,21949021,21949020,25738336,23458674,23458672,29316259,21987967,15891564,11016779,7293503,7293506,11016789,15891583,15630142,15630143,12079682,12079680,17180191,21658405,28936859,23458860,23458859,30593590,31110628,23624332,23458834,23458836,23032293,23032292,23296081,23296082,29257373,30891518,23458707,23458708,17664059,17180498,12079893,8123076,8122998,5204123,5204124,5204142,7909282,7909284,11834732,16910670,17180351,17180350,23458823,19105286,16910819,11834828,11834827,11834796,7909325,5027904,5027905,7909330,11834810,12079655,8122947,5204103,5204104,8122953,12079692,17180216,21936916,16910587,11834670,11834671,16910593,16910678,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175131,5204154,8123049,12079850,17180445,19105281,13640868,9341014,9341015,13640870,17180410,12079819,12079821,10983823,7270428,7270430,10983830,12079664,8122936,8122938,5204113,5204112,8122971,12079732,16911013,15849166,11834680,7909254,5027890,5027891,7909297,7370054,7370057,11112300,11483040,10983878,10983877,15849001,21936713,17180234,16233527,16233529,16910860,16910863,12079871,8123063,8089585,7953196,7953195,11893996,12033243,12033242,13002570,13002571,18318078,15849056,10983913,7270472,7270473,7909442,7270455,4584960,2758456,2758454,4584955,7270446,10983857,15848975,16911011,11834957,7909426,7909427,11834701,7909263,5027877,3043547,1772471,1772472,1010211,1010212,1772491,2911831,2911834,4832218,7637758,11483073,13641222,16233541,11285643,11285645,16233548,22393385,16386380,11404992,7578815,4793750,4793749,7578813,8852074,5769167,5769168,8852061,8852063,13002552,13002604,15040811,10983773,10983775,10983788,7270407,4584939,4584940,7270416,10983806,9341174,9341172,13641101,10480842,6910212,4655858,4655861,2804948,2804949,254516039,5046256,3056686,3056586,3056587,254562243,3058494,1782775,1782774,3058491,5048456,7938402,10862423,10862419,11941250,11676406,7785078,7785080,11676414,11678374,7786874,7786871,11678366,7787403,7787402,11678312,11678313,16720054,11690105,11690106,16732746,22698485,16720280,11678591,7787055,7787056,11678593,7939052,5048995,5048994,7939051,11675076,11691422,7797480,4944705,4944704,7787053,11678587,11689543,16716323,16715488,11673709,11673710,7787406,4937155,2979089,1729273,1729274,2979093,4937164,4932144,2975342,1726776,1726777,2975343,2979084,1729272,1729271,1074235,1074236,1882920,3214221,4931357,2974697,2974699,2976894,4931379,2977728,1728328,254247197,4935266,4942767,7782218,7782220,254247582,7783409,4933651,4932183,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,983851,553867,553868,983819,1730589,2981219,4935698,2982568,1731384,984282,984283,1731390,2982578,4942410,7794676,11677904,7786404,4936228,2978438,1728825,1728826,2978443,4936235,7786416,11677921,7794007,7794006,11687465,11687652,11685097,7794798,7794800,4942520,4942521,3081126,3081125,5079926,7981813,7440176,4701228,4701229,7440181,7791659,254572682,16718712,16727318,16729986,11687451,7793996,7793995,11676942,7785574,4935576,4935575,7785572,11676938,7794639,254314458,7959819,11901768,267902574,13074430,8909338,5813968,3626725,3626726,5813969,8909341,13074433,11677259,11677258,7794624,4942368,4942367,5388373,8348504,12356520,16730959,11688363,11688362,7952245,7952244,11892851,9168045,9168047,7796929,4944263,4944265,2983969,2983967,4938273,7788814,11680578,11684745,7791839,4940327,2981177,2981175,4940315,7791815,11684713,7959663,7959662,11901598,16986898,17061265,17061264,23273933,23273934,267989984,22966147,255531646,16730267,16730268,12356012,12356011,17521506,23244412,16995741,16984401,11924448,7978389,7978390,11866972,7978631,7978632,8060458,7971826,7971825,11640774,11640773,11481867,7636609,4831222,4831223,5073296,5073295,7972740,8069427,8069426,12011416,11874535,7937803,7937802,255139243,21096006,16968125,254823700,7942027,11880109,16968123,21708241,16140878,11213178,11213177,254382546,16140892,16719677,11677863,11677861,11879007,254569470,11212523,16140234,22283876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 78439, s2 = 14115501, dlinesl.size( ) = 2 s1 = 78439, s2 = 14115501, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 78439, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 14521955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14521955, s2 = 6808452, int(edited[s2]) = 0 s1 = 14521955, s2 = 6808452, d1 = 49, d2 = 72 Dl.O(d1) = 58325202 Dl.O(d2) = 258734637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14521955, s2 = 6808452, dlinesl.size( ) = 26 s1 = 11097578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14921589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14921589, s2 = 10996596, int(edited[s2]) = 0 s1 = 14921589, s2 = 10996596, d1 = 135, d2 = 113 Dl.O(d1) = 32136864,24555396,18117977,12847254,254625673,5687724,8736508,12847251,13080345,8913320,5816588,5816585,8737470,8737473,12848918,18118192,18118189,24555658,32137137,36868159,31510645,31510646,37999589,37999588,47915576,59309798,58597301,255565382,28767804,21507547,21507548,28767809,37300680,31778928,31778930,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,41304369,35147863,27062096,20168198,14469795,14469799,20168212,27062136,25246793,18676132,18676128,21152372,28369193,24010512,17663682,17663680,24010504,30468115,23059069,23059068,30468113,39058603,48981294,39485745,30880126,30880125,33730707,25923742,19261889,13766245,13766246,19261894,25923753,30498702,24829627,18336396,18336394,24829618,32468979,25246959,18676228,18676229,25246962,25246940,25246938,25295117,18720888,18720889,18676018,15655242,10836152,10836153,15655249,12852826,12852828,18125913,24565927,29297836,21971134,15877433,11006004,7285746,7285747,11006006,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165594,25427539,25427540,33169970,37999508,37999506,47915496,59309759,257902936 Dl.O(d2) = 16166966,22312718,29664794,254410666,11234421,11234422,12631745,8576655,7451931,4708302,2836361,1645429,1645427,2836353,4708286,6015631,8485200,8485201,8549591,8549593,11231208,8538831,8538829,12274192,8289030,8289028,7799241,7799244,5597563,5597564,7896326,5597582,5597581,8534406,8559261,8559263,12580386,12571898,12523258,12523263,8564119,8564117,11230968,7452433,5509135,3763476,3763477,4711819,4711803,2838515,2838514,254529563,11235823,8557003,5553872,5553874,8557009,12545946,12545947,8527335,5525910,5525909,8527331,255195359,11234193,11234194,8582356,254874189,8554835,5552006,5552007,8554837,5597595,3474073,3474077,3762438,3440284,254417711,2254086,2254088,1308265,1308266,2254166,3762614,5555598,5547007,5528615,3414521,3414520,3418603,254610311,5554700,6015698,5566328,3450164,3450165,3433908,2031083,1163207,652744,361953,198109,198110,361956,652754,1163220,1989998,2031425,3434293,3039968,254375117,3418173,2018180,1994490,1994489,3386046,3783824,2266749,2021314,1156636,1156631,2021295,1176634,1176633,2051289,2033653,1164786,1164784,2033649,3437649,3377265,1987946,1135796,1135797,1161324,2028357,3395447,2025591,2025590,3383321,254605703,5542745,8543588,5541369,3426659,3426660,3391476,1998640,1142381,1142380,1144302,2001881,2024148,1158418,649947,360523,197401,254075683,59154,107662,197395,360510,360743,197493,197494,360748,650400,363425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14921589, s2 = 10996596, dlinesl.size( ) = 8 s1 = 14240205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6596980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8485546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8485546, s2 = 14966686, int(edited[s2]) = 0 s1 = 8485546, s2 = 14966686, d1 = 28, d2 = 26 Dl.O(d1) = 147014866,133764831,119893723,270834958,37969561,47887976 Dl.O(d2) = 273118727,274408335,265962576,180884622,262644052,272176324,98820419,258661608,15486157,21492016,28751599,256406990,58586065,61602018,50122023,256435734,48668150,49173446,39248276,255493828,25115426,268289663,13192460,8993411,254907335,18564873,18564861,18564862,25115442,25115445,25115446,32819275,41740110,41740112,41740151,41740150,52054699,41740103,41740104,52054700,54595014,66853986,80283644,260044999,60192425,48795688,38873315,30287545,30287544,38873314,48795690,60192427,72931821,86381408,72785282,256756080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8485546, s2 = 14966686, dlinesl.size( ) = 26 s1 = 6449846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6449846, s2 = 15057676, int(edited[s2]) = 0 s1 = 6449846, s2 = 15057676, d1 = 24, d2 = 28 Dl.O(d1) = 254594920 Dl.O(d2) = 258262635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6449846, s2 = 15057676, dlinesl.size( ) = 20 s1 = 6597285, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2195689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2195689, s2 = 6508638, int(edited[s2]) = 0 s1 = 2195689, s2 = 6508638, d1 = 153, d2 = 117 Dl.O(d1) = 59356048,47964964,257506843,258470133 Dl.O(d2) = 36712705,256829355,268604598,255375500,12159662,8190120,8190121,11682898,15036504,15036505,20944877,15598881,10790961,7129318,7129319,10302958,14970785,255246914,10435126,12569860,12569861,17763468,20341214,27277031,23582041,17269823,17269822,21619027,25880203,19221052,13730199,11146804,268083441,13378362,13378361,14926988,14926989,20825215,27989702,21076223,15139287,15139288,21076224,28281127,21631572,15600493,10792246,10792248,11270894,10054155,6606342,4138171,4138172,6606348,7905509,10375938,6837028,4289896,4289898,6837039,10375963,15049270,12209628,8240743,8240744,8336405,12339662,10291955,6765879,4240209,4240207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2195689, s2 = 6508638, dlinesl.size( ) = 8 s1 = 15478313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 500618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6914750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6914750, s2 = 11554760, int(edited[s2]) = 0 s1 = 6914750, s2 = 11554760, d1 = 17, d2 = 9 Dl.O(d1) = 260039882 Dl.O(d2) = 229178956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6914750, s2 = 11554760, dlinesl.size( ) = 2 s1 = 6914750, s2 = 11554760, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6914750, Dl.E( ) = 36, 1.5e-05 seconds used appending s1 = 6598001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6598001, s2 = 14101543, int(edited[s2]) = 0 s1 = 6598001, s2 = 14101543, d1 = 64, d2 = 48 Dl.O(d1) = 256390725,48040738,59432847 Dl.O(d2) = 38601042,268410979,255927393,38601046,48515745,59908914,270335071,114251207,109446649,109446650,123639944,272214859,99935731,85977683,85977682,85977677,72382469,255927396,59647601,72382475,72649356,72649364,255927398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6598001, s2 = 14101543, dlinesl.size( ) = 2 s1 = 6598001, s2 = 14101543, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6598001, Dl.E( ) = 66, 3.7e-05 seconds used appending s1 = 13333179, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 628758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6630355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15624855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15624855, s2 = 1699439, int(edited[s2]) = 0 s1 = 15624855, s2 = 1699439, d1 = 12, d2 = 10 Dl.O(d1) = 229458156,230930674,265818485,225912316,265670759,223747529,221249584,265331551,225912308,227800563,228354365,226525181,224425830,222008682,219193736,215858620,264757931,206891094,200916742,193835716,185576536,262710767,140982583,260591817,99751130,85797155,72202922 Dl.O(d2) = 4691503,2826825,2826826,4691507,7424278,11189377,13087886,18425626,24938091,18435781,13095131,13095133,18435789,22245675,22245676,25965565,24760651,22246127,22246126,18435797,18435799,24951748,28774754,37308399,47214584,58603430,50584614,42016282,42016283,46773220,46773219,53533555,43126758,34050669,26196079,19486707,19486706,26196076,34050666,43126751,53627927,52184188,52184189,60029516,49364420,49364419,50906635,40789858,40789859,50906636,53627953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15624855, s2 = 1699439, dlinesl.size( ) = 2 s1 = 15624855, s2 = 1699439, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15624855, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 13496411, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7635301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7110973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7110973, s2 = 879285, int(edited[s2]) = 0 s1 = 7110973, s2 = 879285, d1 = 18, d2 = 25 Dl.O(d1) = 262713479,99792450,270322225 Dl.O(d2) = 255085131,7445907,7445908,11221951,16152542,16151250,11220933,7445249,4704107,2833835,267829999,7445250,10679580,7054545,7054547,10679589,15446616,11218898,7443971,7443972,11218899,11221060,16151410,22292888,22292887,22295504,22295505,22293038,22293037,256136334,268087914,29649325,38215751,31592114,24088785,24088784,31592113,37585673,44562620,267830954,36933925,254239492,27189175,27188821,20264931,20264930,22534228,16360728,14539992,10003891,10003890,254779968,19277908,19277909,254681022,6529245,9934484,12720340,12720341,14539555,10003610,10003611,14539558,20264745,27188627,22448525,22448524,17950873,17950874,22447828,22447829,254534146,9970411,6552681,6552682,255335339,20196345,268829781,31582095,29819274,22451730,22451729,29819272,256953825,268715682,44483522,268549647,14437143,14437144,20129558,255227518,256081148,42264673,42264674,38671258,30094048,255265006,48587426,59979065,72716083,260629741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7110973, s2 = 879285, dlinesl.size( ) = 26 s1 = 2504043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2504043, s2 = 11148001, int(edited[s2]) = 0 s1 = 2504043, s2 = 11148001, d1 = 0, d2 = 6 Dl.O(d1) = 71364169,84940686,71364151,58627483,58627482 Dl.O(d2) = 269810221,72262100,59528256,48141150,48141151,59528258,72262102,85853290,99805365,99805371,99805372,85853304,85853305,99805381,99805327,85853263,72262085,59528249,59528248,72262083,85853260,85853292,72262104,59528259,258130747,85853279,72262095,72262096,85853282,99805354,113818724,113818756,113818715,113818716,125757527,261068373,127685961,113818759,99805418,258753801,72262067,257521155,48141136,59528235,72262065,85853242,99805306,85853353,85853355,258753795,59528253,59528254,72262092,85853277,259887125,84122369,70585726,57884576,57884574,70585721,84122361,86061605,72463484,59727904,59727905,70585750,57884587,57884586,70585748,77405319,86597753,86061618,72463493,269394708,57884589,57884590,70585757,70585739,57884581,256827195,36661240,46528752,57884579,70585734,84122348,70585713,57884567,57884566,70585707,70585706,84122337,86803258,73191366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2504043, s2 = 11148001, dlinesl.size( ) = 2 s1 = 2504043, s2 = 11148001, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2504043, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 1852464, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 251608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 251608, s2 = 15166492, int(edited[s2]) = 0 s1 = 251608, s2 = 15166492, d1 = 29, d2 = 5 Dl.O(d1) = 6127970,9355472,9338773,254296938,13346578,14599100,10045526,10045527,14599102,20341295,20095102,14407724,14407723,267784832,35067277,38291151,29724209,254706014 Dl.O(d2) = 37173994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 251608, s2 = 15166492, dlinesl.size( ) = 2 s1 = 251608, s2 = 15166492, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 251608, Dl.E( ) = 48, 1.31e-05 seconds used appending s1 = 13285477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1854225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1854225, s2 = 11228784, int(edited[s2]) = 0 s1 = 1854225, s2 = 11228784, d1 = 7, d2 = 79 Dl.O(d1) = 48220754 Dl.O(d2) = 262456506,109870958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1854225, s2 = 11228784, dlinesl.size( ) = 68 s1 = 14510512, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2212076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13415291, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11138876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2216283, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1860287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7581471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14067833, s2 = 882062, int(edited[s2]) = 0 s1 = 14067833, s2 = 882062, d1 = 35, d2 = 5 Dl.O(d1) = 60349227,73088318,86692149,100664975,114710590,119814351,259483104,260098344,62059094,50566499,40529902,31832320,24313981,255206467,3485866,254752506,14489257,20193803,27092584,254514872,30923152,23485458,23485459,29198752,267887266,28286464,267768592,10443472,6884708,4321843,2585290,2585289,4321839,6884694,10443445,15142117,21080371,28286384,254514434,28270224,267969584,21099539,20941541,15032948,15032947,20941540,21869548,21869547,29180372,36765488,36591841,268216716,70515432,84050666,97921338,258093580,125671278,139009983,151713989,163592806,174433236,184086264,185842809,262685178,141295926,260561080,100026450,86063395,72465353,72465352,72465355,72465354,270846371,86063387,72465344,59729851,48345960,48345961 Dl.O(d2) = 48345962,38443865,29887643,22533407,16360032,11385138,7563885,4782678,2881977,1672287,1672288,2881994,4782714,7563947,11385161,11385160,16360050,14490129,14490128,20195039,14490114,14490115,16360556,19806056,20195030,14490104,9969895,9969896,14490106,20195032,27094144,27094143,35182996,27094237,20195122,20195121,22452072,22452071,24825060,20194948,14490018,9969834,9969836,11324169,16282933,14490203,9969960,6552411,4104872,2455339,1419340,1419341,2455341,4104877,6552422,9109614,13332456,11320148,7516619,7516620,11320152,16279225,16279224,22448884,20195123,15882490,11009629,7288182,7288180,11009625,7515869,4751276,2863552,1662039,1662040,2863557,4751287,7515893,7516648,11025940,11025942,8162734,8162731,11320181,7516637,4751742,4751743,4104884,4104883,6552427,6552354,6552353,4104850,4104847,6552361,9969872,14490075,11324107,11324108,13562923,11009795,7288294,4596065,4596067,7288300,11009805,11321467,7517754,7517755,11321470,16279749,11322454,7518744,7518745,11322455,255097272,11731484,11319141,7515876,7515875,7516543,4751675,4751674,4751997,7517032,11320438,16278870,16278871,22448582,16279275,16279274,22005540,21828079,15760236,15760237,11321735,7517997,7516561,4751693,2863771,2863772,4751694,7516563,11320065,11323393,11320221,7516665,7434398,255083621,254534265,4752871,7518229,4752887,4752888,7517422,4752286,2864113,2864114,4752289,4548087,2733984,1584209,900632,508042,508043,900635,946044,533514,533513,946041,1662728,2733953,2733952,4548028,4752178,7297173,7519657,4754056,4754057,7517215,10914425,7218185,7218186,10914427,10914447,7218610,7218611,4752307,2864127,1662357,1662356,2864120,4752297,7517438,7518122,4752781,2864392,2864391,2864652,2864651,4753178,7518647,11322362,15882922,12022252,8082563,5178613,3159680,3159683,5178615,8082565,7288450,4752708,4752709,7518024,7519679,7519678,11323327,8082272,8082271,12021906,8082492,5178562,5178563,8082495,11322622,8082268,5178415,5178416,5178425,8082285,12021917,17107716,12022256,8082567,7517674,7517672,11321382,11322140,11323049,16280886,11321996,7518273,7288454,4596163,2764972,1602701,1602700,2764970,4596162,7288453,10913905,10913907,15759371,16280314,16280313,17108190,12022347,12022348,17107886,17107887,22451250,21827139,21827138,29134294,37695183,29816279,22448362,16278651,11319552,7516158,7516159,11319558,16268145,16268146,11741115,11741116,16281259,22450500,22037347,22037349,17618883,17618880,17690212,22332762,22332761,29684694,255901078,65954917,53888227,43364222,34264394,34264395,43364224,255373988,28204364,36694717,268032078,254942570,21684583,258278905,50278576,50278575,61758407,74542093,258286414,47483812,37577949,37577948,47483810,58865982,71589053,85156297,78474089,65190012,53204769,42755435,42755436,53204771,65190016,78474096,72664349,59923939,48530087,48530089,59923942,72664354,256545774,114262380,116208414,102147380,88156753,74542091,257677243,50399373,61889731,74682881,258747132,113742058,113742057,127610472,134952767,123521390,112113080,112113081,100230213,100230214,98153638,98153637,112113083,113742052,109330116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067833, s2 = 882062, dlinesl.size( ) = 14 s1 = 15760223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15760223, s2 = 13105840, int(edited[s2]) = 0 s1 = 15760223, s2 = 13105840, d1 = 3, d2 = 24 Dl.O(d1) = 103910542,89809559,76032810,63049912,63049913,76032811,89809562,103910540,118052038,131876081 Dl.O(d2) = 134880571,133775749,119907238,105671699,91448485,77518928,64353735,52483596,42128609,33172261,33172262,42128610,52483597,64353738,77518930,64353737,64353738,77518931,91448486,105671701,119907239,133775750,147023483,159403959,170751212,180890045,189783545,197450619,203977797,209422385,213890121,217558357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15760223, s2 = 13105840, dlinesl.size( ) = 8 s1 = 1863747, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15987791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1867130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1867130, s2 = 11593100, int(edited[s2]) = 0 s1 = 1867130, s2 = 11593100, d1 = 0, d2 = 71 Dl.O(d1) = 48467361 Dl.O(d2) = 240922446,266896641,239341114,266719873,233555306,266090363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1867130, s2 = 11593100, dlinesl.size( ) = 2 s1 = 1867130, s2 = 11593100, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1867130, Dl.E( ) = 80, 2.22e-05 seconds used appending s1 = 2223277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2223277, s2 = 4942563, int(edited[s2]) = 0 s1 = 2223277, s2 = 4942563, d1 = 19, d2 = 12 Dl.O(d1) = 59862089,52005477,41693275,32776297,25078985,255104066 Dl.O(d2) = 273797220,214064437,209624392,204213659,197728823,190118263,181303688,260309962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2223277, s2 = 4942563, dlinesl.size( ) = 2 s1 = 2223277, s2 = 4942563, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2223277, Dl.E( ) = 22, 2.79e-05 seconds used appending s1 = 11188256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7594137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7594137, s2 = 6763361, int(edited[s2]) = 0 s1 = 7594137, s2 = 6763361, d1 = 8, d2 = 7 Dl.O(d1) = 268745037,18529184,13165007,13165008,18529187,25071520,30011634,30011635,38576588,48489760 Dl.O(d2) = 258188233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7594137, s2 = 6763361, dlinesl.size( ) = 8 s1 = 6808451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6808451, s2 = 14521956, int(edited[s2]) = 0 s1 = 6808451, s2 = 14521956, d1 = 86, d2 = 63 Dl.O(d1) = 258734636 Dl.O(d2) = 65055784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6808451, s2 = 14521956, dlinesl.size( ) = 2 s1 = 6808451, s2 = 14521956, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6808451, Dl.E( ) = 146, 4.01e-05 seconds used appending s1 = 14622112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032294, s2 = 1144633, int(edited[s2]) = 0 s1 = 11032294, s2 = 1144633, d1 = 46, d2 = 21 Dl.O(d1) = 38619856,48534923,52289415 Dl.O(d2) = 256106696,19535199,19535198,26253124,34117781,29287748,29287747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032294, s2 = 1144633, dlinesl.size( ) = 2 s1 = 11032294, s2 = 1144633, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11032294, Dl.E( ) = 68, 2.91e-05 seconds used appending s1 = 15911665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6601986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2230137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11070108, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6602303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6602303, s2 = 1693745, int(edited[s2]) = 0 s1 = 6602303, s2 = 1693745, d1 = 1, d2 = 12 Dl.O(d1) = 256433955 Dl.O(d2) = 11657997,11657996,16697262,22931929,22389751,22389752,16341129,11369980,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,10587719,10587717,15329588,21296727,16320567,16320566,22485111,16313219,11349905,11349906,16313220,22485113,28286709,21080660,15142322,15142321,21080657,254761084,38415656,38415176,29845197,29351160,22019604,22019605,29351165,37919143,29858579,29858580,33008243,33008244,39851237,36783597,36783590,31509417,24009657,17663068,15112311,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,22475499,22475496,23008623,29855433,22490495,22019729,22019728,22025376,21080565,15142263,10443536,6884756,4321872,4321873,6884760,10443541,15142270,21080573,22490698,16317567,16317565,22490694,29841197,22473885,16304038,16304037,22473883,29352134,22020840,22020841,29352135,28518023,22019164,15917944,11040124,11040123,15917942,22019160,22024149,15923057,11045823,7320598,7320601,11045832,15923068,16342716,22516212,22525956,22017906,15916344,15916345,22017911,29349725,31070059,23586189,23586186,22024785,22018668,15917300,11039340,11039339,15917297,22018662,16333869,16333870,22507587,29356110,29356109,31068625,29353105,29353106,22973299,22973300,30374745,31070101,29354454,22023450,15922502,11045487,11045486,15922500,16309176,11347382,11347383,16309179,17271561,15924593,11047423,11047422,15924566,22025624,22973815,22026428,21296176,16312599,11349494,11011059,7289205,4596593,2765213,2765212,4596586,7289186,6589657,6589661,10026461,14570686,20303436,20303437,25299955,18725337,18725336,254233060,22500787,254099404,16333998,16326635,11358614,7546541,7546520,7546518,5250482,3207874,3207876,4775167,2878073,1670363,1670364,2878010,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,6232387,9501951,11637060,11637058,13851251,13851252,19364642,26043563,254351886,42911246,53377587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6602303, s2 = 1693745, dlinesl.size( ) = 2 s1 = 6602303, s2 = 1693745, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6602303, Dl.E( ) = 22, 1.6e-05 seconds used appending s1 = 1521885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11157896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059506, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11084714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6707458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7935911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7935911, s2 = 11656845, int(edited[s2]) = 0 s1 = 7935911, s2 = 11656845, d1 = 2, d2 = 1 Dl.O(d1) = 16641272,16641271,22798354,268233851,11561717,7694503,254795311,11430657,10348259,10348258,9117417,9117418,11418712,11418714,11428811,7597555,7597554,11413934,11413935,11621299,11621300,255503045,256446447,269359835,257721843,41037485 Dl.O(d2) = 255617873,12901953,12901954,18190474,18190475,24647006,24647004,24647003,32245104,41037487,255990340,34687287,26692845,26692846,34687289,43962519,268453030,27030810,20138289,268141583,13350145,9122684,5969460,5969461,9122690,9935435,10601536,6994600,4395783,2634160,2634162,4395788,6517365,6518739,9918773,12826095,8720460,5676295,5676294,8720457,10601970,15347786,21318554,18306565,14418873,14418359,14418360,9935390,9935389,14442878,13790168,13352136,12994842,8846922,5765775,3591339,2141204,2141206,3591344,3732829,5968873,9121881,12825908,18090937,22917974,255048384,13738576,9412125,254757513,7284641,11004284,10609361,10609362,13702505,9385007,6520257,4085386,4085385,6520254,9920748,12850824,12850823,13405535,9165158,9165157,9552196,13353669,9125696,5971627,3734413,2235868,1296635,740037,420620,237404,237403,420608,740013,1296593,1296379,1296378,2235374,3733518,5970088,3903266,3903269,6234594,6234596,5971571,3751424,2246452,1303001,1303002,2246420,2204623,2204626,3682782,5896113,254345720,14192882,18567219,267970902,12314924,12314925,17467589,14192297,9756191,9756190,12905738,12905737,9756230,9756229,6415012,6194026,3876872,2321843,2321844,3876860,4592668,5367743,3300020,3300021,2763031,1601743,910756,910753,1601732,2763061,4592602,7282453,11001209,13005167,12707866,8634089,8634090,10666709,7044730,7044729,255035005,15429579,15429580,21420450,28666691,256865473,28666688,37187932,37187933,28666694,28666693,28092459,20918246,15011960,14984812,10316609,6786704,4254558,4254557,6786703,6932290,6932291,10512681,10343823,6809904,4271138,2553564,2553562,3308246,2554471,2554472,2552845,1470546,831837,469125,263795,263793,469120,831824,254219391,1457389,1457388,2528911,4229638,6750075,9087690,5944802,3717439,2226013,2226012,2226035,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375903,5375904,8329564,12330347,14936636,10272692,6782886,4251947,4251945,6782884,10312025,10308600,6779993,4249883,2544027,2544026,2554698,2225419,1290831,1290830,2225413,3716419,4294761,2567650,2567648,4294754,6844573,6768109,6768108,4258743,2545996,1466765,1466767,2546001,4258752,6792500,4356010,4356011,4277783,4277782,4309037,4309039,5585623,3720606,3720607,5949533,6865826,6792845,6792840,6831510,6831513,9097071,6822419,4285931,2630540,1518923,1518919,2630528,4390436,6822805,4280171,2559083,1473951,1473950,2559079,4280162,6822782,10358776,255368691,28116065,23484360,23484361,30921952,36593751,28120670,20943311,15034855,15034857,20943315,28120676,36593760,269298399,70512189,84047459,70517377,70517376,84052498,97923189,111857406,125673272,136744591,122912838,108647985,94360189,94360188,94360190,86900830,73290319,73290318,86900827,259450239,86900832,80303657,80303656,94360136,80303701,66874305,66874295,54616503,43874104,43874103,54616501,66874294,80303690,80303670,80303671,86900821,86900820,100880919,260637517,100388998,86433599,72839138,72839139,86433601,100389000,114412058,261213771,154293832,162514211,262273503,154293835,150382553,137340506,128288178,128288179,141638686,137340503,137340502,134793821,259786318,106745565,92440762,78404720,65122632,53137515,42686691,42686692,53137516,51559727,41337177,41337178,51559729,63278287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7935911, s2 = 11656845, dlinesl.size( ) = 2 s1 = 7935911, s2 = 11656845, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 7935911, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14054520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14054520, s2 = 11042760, int(edited[s2]) = 0 s1 = 14054520, s2 = 11042760, d1 = 65, d2 = 39 Dl.O(d1) = 30579475,39176172,39176082,30578316,23161325,16899860,11826944,7903928,5024253,3041156,3041157,5024260,7903942,11826963,16899886,23161369,30578409,30579457,39176154,39176153,30578892,30578891,39176815,36946871,36946836,28447022,21220865,21220866,28447027,36946847,30217468,30217467,38801632,47619026,47781397,48724395,38803588,30219854,29289033,22827540,21962565,15869063,15869065,15869095,21962621,29289045,21962643,21962644,29289065,28988617,255421270,47441275,47441234,37533302,28988524,21704816,16899822,11826922,11826921,16899820,23161267,30578236,39175899,49106237,49106291,58826948,47440442,47440441,269790767,85125305,71554775,58827047,58827048,71554777,85125330,85125553,71555039,256348068,60674784,58826944,47440424,47440423,47440631,47440630,47440416,37857711,29288990,21962591,15869075,15869076,21962595,29288998,29289053,32709690,25024672,25024671,28988541,37533314,28988612,21704871,15663451,15663419,10843000,10842999,10843006,15663434,20944773,28122096,36595255,46461580,46461589,37857748,29289029,21962608,21962609,28988675,28987678,21704159,21704158,28987699,37532512,47440629,44398701,44398702,39348167,39348166,39348152,39348153,37532287,28987487,21703980,15662842,15662843,21703985,28987503,33053586,25325044,25325046,28988664,21704921,21704922,28988557,21704834,15663423,15663424,21704841,21704880,15663456,10843023,7168025,4514566,4514565,7168021,10843014,15036430,20944778,28122103,36595260,28988603,28988604,28988686,21704932,15663494,15662952,10842728,10842730,15662963,21704170,21704906,28988649,35023352,35023347,30748498,23326960,17061003,17061002,23326955,30748490,25567148,25567149,28987490,28987626,21704083,21704082,28122173,28988763,28990457,28988658,23636901,17321269,17321270,21704824,21704825,21704946,15663509,10843053,7168048,4514582,2712658,2712657,4514576,7168043,10364153,15036436,20944782,25755742,33544400,33544410,28988642,21704899,15663475,15662974,10842735,10842736,15662980,21704203,28987753,35023357,26942610,20057193,20057187,15573590,11969158,11969157,17061011,23326973,18956609,18956610,25567162,20944820,15036460,15036462,20944828,23436917,23436918,23636928,17321282,12196358,12196359,17321289,21207198,21207196,21703928,15663467,10843031,7168029,4514570,4514571,7168034,6827405,6827406,10364166,13649339,13649340,19117422,25755737,28954674,28954673,21948029,15858428,15662965,15662966,21704180,21958261,28902184,26942622,20057200,14372238,9878315,9878316,10772757,15573600,18590617,18956612,13520283,13520286,18956630,25567184,20944811,20944809,23436923,17162051,12065633,12065634,17162057,17757749,12565650,8520688,8520685,10513831,15240876,21207201,28431113,36929773,46808114,51501794,41287072,32447401,24812319,18323188,254852068,8855155,13006658,18323194,15793856,15793857,21867810,21867652,21867651,21867730,21867731,29178405,37739252,37969944,39743540,269864542,37739406,29178534,21867816,15793861,10942461,7240630,7240629,10942457,255432133,29178518,37739384,47661233,59061444,58220236,49774493,39755842,39755843,48101036,38189320,38189319,38468420,29910695,29910696,37739213,37739212,39755879,39755869,39755868,40311556,40311555,50337465,49774516,269844116 Dl.O(d2) = 257668182,37783104,254863994,15825186,254863996,7371211,7370882,7370883,11113484,14188488,14188487,19808252,26617416,34605191,43875685,39928410,39928409,49945918,47765778,40428105,31733805,24225140,17853339,12643407,12643406,17853336,24225128,31733785,34605174,34605175,37843069,43875675,34605172,26617397,19808240,14188480,14188481,255726965,34605177,33340918,33340917,40234301,31548374,24044913,24044912,31548372,40234300,50253704,268001748,61728201,50249597,40229719,254274456,42321822,42321821,52709103,46906152,37028951,28530895,268610887,37028949,37028948,38789492,30204719,30204720,38789494,39220762,30623412,256297274,33955033,26117942,19424651,13898157,13898159,19424654,26117945,254743172,34639261,34639258,32742472,255081536,30623029,39220331,49146743,60546063,59544401,48157518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14054520, s2 = 11042760, dlinesl.size( ) = 24 s1 = 1531542, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11250384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8029190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1556601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1257373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1257373, s2 = 13866717, int(edited[s2]) = 0 s1 = 1257373, s2 = 13866717, d1 = 130, d2 = 132 Dl.O(d1) = 31608649,31608650,40291706,48879175,52396993 Dl.O(d2) = 230607839,229085728,227361511,227361512,229085723,227361505,225390152,225390151,265784403,227361510,266168159,274680137,234289110,233184753,231963634,265923214,227361506,225390152,265284682,220497173,223122059,225390154,227361509,265923209,231963636,233184756,234289114,235294090,236209940,266375192,234289111,234289112,274648620,266050662,229085721,265923212,225390160,223122062,223122063,225390162,227361512,229085723,227361505,225390152,225390151,265784401,230607837,266050661,266050662,229085721,227361503,265467430,217411608,213712568,213712567,217411606,220497173,223122059,225390154,227361509,274487942,225390155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1257373, s2 = 13866717, dlinesl.size( ) = 2 s1 = 1257373, s2 = 13866717, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1257373, Dl.E( ) = 134, 3.81e-05 seconds used appending s1 = 13262479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 945018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14943366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817185, s2 = 10650048, int(edited[s2]) = 0 s1 = 6817185, s2 = 10650048, d1 = 54, d2 = 64 Dl.O(d1) = 258816617 Dl.O(d2) = 265885213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6817185, s2 = 10650048, dlinesl.size( ) = 20 s1 = 1896174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8306376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8306376, s2 = 8632574, int(edited[s2]) = 0 s1 = 8306376, s2 = 8632574, d1 = 26, d2 = 68 Dl.O(d1) = 272236732,114841281,100789501,271363275,260659258,60451105,258195383,260659260,39119012,30521318,255516491,11781446,11781447,268240147,30521322,39119013,49048338,60451104,71126882,256462500,258195380,128740886 Dl.O(d2) = 273466180,192927032,192927030,200126355,262513930,184533434,184533469,184533467,192927005,272735096,164096724,260326028,139478514,152208327,164096726,174921997,184533447,192926986,262970164,262970168,184533459,174921966,262513942,192926977,262513950,174921985,261486246,152208318,139478509,126106696,126106697,139478513,152208326,164096723,174921992,184533480,192927019,200126358,192926988,272735090,174921944,184533440,190515835,181772366,174921981,174921980,174921945,164096690,152208298,152208297,152208299,139478500,126106691,126106692,139478502,152208302,164096695,262513934,192927035,184533499,174922010,164096738,152208337,139478519,126106702,126106703,139478521,152208340,164096741,174921974,164096710,152208310,152208311,152208304,139478503,139478502,152208302,164096695,262513934,192927035,184533499,174922010,164096738,152208337,139478519,126106702,126106703,139478521,152208340,164096742,174922015,184533490,174922002,174922003,184533493,192926985,184533469,184533467,184533464,184533466,192927007,273017058,174922011,262018974,192927042,200126379,192927025,184533482,184533483,192926993,200126344,200126345,200126362,192926997,184533450,262018972,272033600,139478515,152208331,164096727,174922001,184533485,192927029,200126376,192927023,184533481,273017056,263381222,263381220,200126351,192926980,184533432,184533433,192926982,273466180,192927032,192927030,200126355,263381214,263381216,192926990,200126359,200126360,262513940,184533455,184533489,174922002,174922003,184533493,192926985,184533469,184533467,184533464,184533466,192926999,184533451,174921954,174921953,261486250,152208328,152208327,164096726,174921997,184533447,192926995,262513940,174921959,164096701,152208306,152208305,164096700,262513938,192927010,184533474,174921984,272735094,192927012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8306376, s2 = 8632574, dlinesl.size( ) = 28 s1 = 15997197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7580802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7580802, s2 = 13619285, int(edited[s2]) = 0 s1 = 7580802, s2 = 13619285, d1 = 32, d2 = 31 Dl.O(d1) = 268422273,49082047 Dl.O(d2) = 261236621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7580802, s2 = 13619285, dlinesl.size( ) = 38 s1 = 13415249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13415249, s2 = 3207469, int(edited[s2]) = 0 s1 = 13415249, s2 = 3207469, d1 = 33, d2 = 43 Dl.O(d1) = 74826668,62030163,62030164,73238141,60491330 Dl.O(d2) = 100831908,91663499,91663500,91663548,91663559,77735500,64553090,52653527,52653528,64553092,77735502,91663560,105872029,100830220,100830219,257796772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13415249, s2 = 3207469, dlinesl.size( ) = 2 s1 = 13415249, s2 = 3207469, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13415249, Dl.E( ) = 70, 2.91e-05 seconds used appending s1 = 13368725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9031867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13570633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 449193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16315286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16315286, s2 = 16121179, int(edited[s2]) = 0 s1 = 16315286, s2 = 16121179, d1 = 53, d2 = 50 Dl.O(d1) = 220175568,264845163 Dl.O(d2) = 256468024,16916704,11839179,11839180,16916707,17309652,17309608,16658499,11626036,7744208,7744212,11626018,9781858,9781862,14229270,14919556,14919555,20816184,254360252,46292410,38856133,31609040,26390502,19656170,14094433,14094432,19662937,23179765,23178439,22324168,16913526,11836822,7910807,7910806,11836820,15861460,15861459,21952235,255821962,47765399,59164297,57849684,57849685,64203854,52353522,42014222,42014223,52353524,52913212,64837929,78035274,91962569,99083300,85160081,85160082,97962205,269098590,57849689,256672710,31621392,256542509,50335744,61818977,61818979,257090087,40309804,50335749,48043151,48043149,52241712,41904512,256109789,25243482,32855039,25148100,18591748,13211725,9005907,9005908,13211727,18591752,25148105,32855043,41775814,52089609,63908842,77020468,90900176,105080025,119272908,261952273,261952275,170054432,180217458,189155004,264345153,213620173,217348473,220453265,265467041,227342862,229071720,230597275,274576592,265926840,227405036,225440931,223181812,220568359,217495507,217495508,218817143,215432051,215432050,215432052,218817144,215432051,211335892,206323632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16315286, s2 = 16121179, dlinesl.size( ) = 2 s1 = 16315286, s2 = 16121179, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16315286, Dl.E( ) = 54, 2e-05 seconds used appending s1 = 6764953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14083404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1905174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6777634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8032184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1911902, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2267827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15861595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7659708, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14171805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14171805, s2 = 11544724, int(edited[s2]) = 0 s1 = 14171805, s2 = 11544724, d1 = 15, d2 = 17 Dl.O(d1) = 2178857,3645027,5840992,5669973,5669978,8709699,8762364,12062004,8110253,8110255,12062007,17158601,256487831 Dl.O(d2) = 201790573,201790572,201790571,207633463,212451089,216390606,219657476,222416717,224784989,226840538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14171805, s2 = 11544724, dlinesl.size( ) = 2 s1 = 14171805, s2 = 11544724, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14171805, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 14913673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14913673, s2 = 7913066, int(edited[s2]) = 0 s1 = 14913673, s2 = 7913066, d1 = 32, d2 = 29 Dl.O(d1) = 86679543,100652372,260846837,146327948,272977075,60800205 Dl.O(d2) = 268246443,12068590,17164824,17566564,255150154,8376577,12395076,17421122,17421120,23746424,23900851,17573778,12401901,8381485,5408910,3325208,3325207,267910819,8383201,5409819,3325608,255179709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14913673, s2 = 7913066, dlinesl.size( ) = 20 s1 = 2271243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15809839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2271704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1917442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1917442, s2 = 11384142, int(edited[s2]) = 0 s1 = 1917442, s2 = 11384142, d1 = 0, d2 = 54 Dl.O(d1) = 49432985 Dl.O(d2) = 263223316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1917442, s2 = 11384142, dlinesl.size( ) = 12 s1 = 13594845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13594845, s2 = 16114826, int(edited[s2]) = 0 s1 = 13594845, s2 = 16114826, d1 = 34, d2 = 28 Dl.O(d1) = 39523508,49457056 Dl.O(d2) = 219672962,222429711,220175416,217003195,213179737,208503798,262982634,196072073,188176600,179115070,168837115,259717082,144986529,131742018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13594845, s2 = 16114826, dlinesl.size( ) = 2 s1 = 13594845, s2 = 16114826, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13594845, Dl.E( ) = 44, 1.29e-05 seconds used appending s1 = 8433934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6608450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608450, s2 = 4885626, int(edited[s2]) = 0 s1 = 6608450, s2 = 4885626, d1 = 29, d2 = 45 Dl.O(d1) = 256493597 Dl.O(d2) = 201190133,207119062,212008962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6608450, s2 = 4885626, dlinesl.size( ) = 14 s1 = 14141157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141157, s2 = 11480086, int(edited[s2]) = 0 s1 = 14141157, s2 = 11480086, d1 = 25, d2 = 41 Dl.O(d1) = 265164273 Dl.O(d2) = 154293917,269828390,114412137,100389093,86433695,72839240,60102638,48707084,38784905,38784906,48707086,60102639,72839241,86433698,100389100,114412149,128288277,141638795,259420554,176685006,174451653,163613122,261565554,125695875,111879026,97942832,84069995,70533643,57832078,57832077,70533641,71282042,58550554,58550555,71282043,84855515,98781813,112771230,126626176,139979781,152677837,273539358,175292381,184850438,193196250,200359346,206410442,211415295,215506298,218886756,221740606,224189465,226312808,224189463,224189462,226312805,226698979,224623026,222232282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141157, s2 = 11480086, dlinesl.size( ) = 2 s1 = 14141157, s2 = 11480086, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14141157, Dl.E( ) = 46, 1.29e-05 seconds used appending s1 = 8312556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8312556, s2 = 8089988, int(edited[s2]) = 0 s1 = 8312556, s2 = 8089988, d1 = 16, d2 = 10 Dl.O(d1) = 257767129,77203683,91120761,105341831,119575834,127472741,115619341,101579153,101579151,87904735,74300906,72216815,72216814,85631911,98688876,85632073,84761653,84761654,72043546,59307961,59307962,47913887,47913886,59308234,59308249,72043427,72043429,85631469,85631580,72043513,59307940,59307939,72043503,72043531,61522900,61522901,61480253,50002130,50002132,61480260,74258082,85632520,99582993,113598743,115880280,127836128,126106951,269320986,70804527,256884980,72125887,268995002,46759997,36881209,36881210,39729084,31050267,31050266,39729082,49748114 Dl.O(d2) = 258075856,258257072,260118561,258879746,113598611,100532060,87859414,74255350,61477345,61477346,74255353,257065386,115879638,258257128,139479347,139479326,129779828,115881423,101836385,258257064,101836386,114917778,100867361,86887237,86887236,257648208,115925382,256014042,74300981,74300980,87612213,74008035,74008033,87612211,101579221,106762310,100532215,86571251,72973384,72973385,86571253,100532217,86571280,86571281,100532238,100532200,100532198,113598368,99582624,85632218,84761364,84761366,85547579,71959801,59221503,47823381,47823382,48089924,39986895,31310196,31310195,39986894,50005031,61483461,255173626,254593000,31343441,31343442,40023283,50043359,61523088,255562834,74300674,87863578,74261131,74261130,71614149,58894404,50043096,40023059,40023060,50043098,61522714,61210998,254849062,254401910,23850060,23850061,31343359,254592948,254270032,23850006,31343288,23850063,17507605,267799652,39829141,35352908,27229844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8312556, s2 = 8089988, dlinesl.size( ) = 2 s1 = 8312556, s2 = 8089988, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8312556, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 16041379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8089440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6637150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9083560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 327458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6627438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6627438, s2 = 16032520, int(edited[s2]) = 0 s1 = 6627438, s2 = 16032520, d1 = 70, d2 = 153 Dl.O(d1) = 256687570,74058137,61278171 Dl.O(d2) = 257567109,38819399,36915257,36915256,46792957,258032345,84432318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6627438, s2 = 16032520, dlinesl.size( ) = 2 s1 = 6627438, s2 = 16032520, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6627438, Dl.E( ) = 156, 6.32e-05 seconds used appending s1 = 10348862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348862, s2 = 16361778, int(edited[s2]) = 0 s1 = 10348862, s2 = 16361778, d1 = 163, d2 = 4 Dl.O(d1) = 48502672,256967826,255926672,53945744,43419245,43419246,48502681,49804539,49804538,61282819,257548530,87666149,87666148,101633655,115674793,129560996,115674788,115674787,129560995,142879283,142879292,129561001,129560999,260624910,142879293 Dl.O(d2) = 25790531,19339527,19339530,26013815,32290422,37563478,42811115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348862, s2 = 16361778, dlinesl.size( ) = 20 s1 = 14061820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1926414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 243172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 243172, s2 = 9734890, int(edited[s2]) = 0 s1 = 243172, s2 = 9734890, d1 = 63, d2 = 29 Dl.O(d1) = 5952529,3722578,2228933,1292642,737729,737730,1292644,2228939,3722591,5952543,9098016,13317463,18710579,257769543,49852775,257635591,71636333,60108545,51743235,51743234,63521016,71293377,71293376,258061934,53164931,256676019,25878693,268504395,37266183,28733968,21476537,21476538,28733969,37266185,47172275,269080831,33219246,42177863,52535318,256241852,85683994,257308614,85718654,258424407 Dl.O(d2) = 1282840,1282876,1282872,1283136,1283135,2210182,3691723,5907765,9040420,13251648,18638094,25201088,32913965,30407341,30407342,38996552,30407377,30407376,30526592,30526579,30526580,24270063,256047022,17477911,17477912,23811777,31297711,30407182,30407183,38996456,39359335,30758450,23335760,17069512,12672490,12672489,17662136,12489693,8459353,8459354,12489698,17662143,24008381,30358694,23002315,16762588,16762590,17069526,11980324,8028475,5117609,5117608,8028471,11980318,17069508,17883640,24261211,255594172,256602064,46453003,256281851,15029258,15029257,15029260,10356991,6820992,254712293,15029256,255794359,20937433,28114390,36587064,36587063,40121583,40121582,50142756,258663370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 243172, s2 = 9734890, dlinesl.size( ) = 14 s1 = 14889584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14889584, s2 = 2797415, int(edited[s2]) = 0 s1 = 14889584, s2 = 2797415, d1 = 42, d2 = 60 Dl.O(d1) = 10405957,6859658,6859657,10405955,15086518 Dl.O(d2) = 84228697,70675196,256826920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14889584, s2 = 2797415, dlinesl.size( ) = 38 s1 = 10143427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1930770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11698306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1933278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1933278, s2 = 7720438, int(edited[s2]) = 0 s1 = 1933278, s2 = 7720438, d1 = 9, d2 = 89 Dl.O(d1) = 49956702 Dl.O(d2) = 273672387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1933278, s2 = 7720438, dlinesl.size( ) = 36 s1 = 6467362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9401194, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16185727, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14065545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14065545, s2 = 2269553, int(edited[s2]) = 0 s1 = 14065545, s2 = 2269553, d1 = 6, d2 = 14 Dl.O(d1) = 258056065,84759102,259926259 Dl.O(d2) = 257031192,60775741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14065545, s2 = 2269553, dlinesl.size( ) = 2 s1 = 14065545, s2 = 2269553, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14065545, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6611287, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 686818, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2038863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11150870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14893945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14893945, s2 = 6864494, int(edited[s2]) = 0 s1 = 14893945, s2 = 6864494, d1 = 38, d2 = 24 Dl.O(d1) = 10392810,6850054,254698322,6823581,6823583,10327702,12338446,14950807,14950805,10312441,6783216,6783218,10270970,6749669,4241149,4233602,2531277,2531279,4233612,4257777,4257778,6791133,6791149,5942656,3715982,3715986,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4289435,4289436,6836274,10287077,10287076,6792845,6792840,6831510,6831513,9097071,6822419,4285931,2630540,1518923,1518925,2630547,4390470,4249018,2540244,1463593,1463590,2540234,4248991,5930023,3707876,2220512,2220514,3707890,5930049,6367428,9681057,6367462,3995432,3995433,6367471,4279363,4279364,4242299,3467195,2055911,2055913,3467202,4281109,5956153,8421281,5435333,4253042,4253040,6784425,8179068,12149501,10302115,10302114,13319388,9099527,5953605,5953603,5952233,3722391,2228822,1292584,1292585,2228826,3722397,5952242,8594230,5584099,3464508,2054578,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283566,6824871,6824869,10361290,8109050,8109053,12060449,11668336,11668332,16709090,22945209,30346605,28126241,20948492,255795767,23904101,17559901,17156177,12059578,254595940,5194915,8108425,12059573,17156168,17557600,12678516,8610702,8610701,12056009,12056011,12349055,12349054,8364611,8364610,5423675,3334153,3334156,5423687,8405155,9243124,6956404,6956406,9235860,13499499,18935094,16801804,11748460,8366370,8366368,12381141,17398851,12261410,8280571,8280574,8369508,5409283,3325380,3325377,5409272,8382160,9252093,8112855,5197589,5197588,8112848,12065197,17161564,254726040,31204620,31204621,29696854,23704998,20287802,269308616,255272977,13579195,268495480,268392655,31462422,31221352,23737553,17544755,254654478,17576218,18949361,17618433,12436448,12436445,14451383,14451355,9942292,9942293,12667084,8602375,8602376,12397284,8381088,5408660,3325046,3325045,5408655,8381075,12401339,256526857 Dl.O(d2) = 259404556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14893945, s2 = 6864494, dlinesl.size( ) = 34 s1 = 14661285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14661285, s2 = 16172500, int(edited[s2]) = 0 s1 = 14661285, s2 = 16172500, d1 = 23, d2 = 15 Dl.O(d1) = 91222162,77302060,257079292,41961128,33018416,28620889,21383904,21383902,22100902,29433031,37995499,47911542,59305907,67734989,55395724,44548898,44548897,55395721,67734986,81199829,95255853,109510010,260998331 Dl.O(d2) = 255415314,9084199,9084200,13302603,14969340,20871623,23838290,17498390,17498389,19002313,19002312,14976711,14976712,18680519,13287639,9070644,5931419,5931420,6119033,6119032,8984785,5865642,3662043,3662039,5865622,3805946,2279841,2279838,3805937,6082388,254930331,18712895,22368079,16213825,16213824,18234620,18234619,24705490,24378636,17980056,14939224,10274687,6752373,4231180,4231182,6752379,10274696,14939251,14597803,10044582,6600845,4135321,4135318,6600840,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,7660164,4846685,2920527,1694101,1694102,2920533,4846698,7660372,11515831,13305248,13305249,14407304,20094594,14606850,14606851,10328521,6796990,6796991,10328523,14997978,20902619,28074565,30110934,30110933,38687062,48603024,59994933,72732365,64976305,53001294,42561262,33544847,25756165,19117794,19117795,25756167,28325493,28322953,21112992,21112991,28320042,21109642,15163763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14661285, s2 = 16172500, dlinesl.size( ) = 2 s1 = 14661285, s2 = 16172500, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14661285, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 2298029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2298029, s2 = 11090295, int(edited[s2]) = 0 s1 = 2298029, s2 = 11090295, d1 = 1, d2 = 1 Dl.O(d1) = 61610257,269369211,30648669 Dl.O(d2) = 61610257,269369211,30648669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2298029, s2 = 11090295, dlinesl.size( ) = 2 s1 = 2298029, s2 = 11090295, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2298029, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14113115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1946727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13320527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023830, s2 = 6604211, int(edited[s2]) = 0 s1 = 11023830, s2 = 6604211, d1 = 4, d2 = 15 Dl.O(d1) = 50230852 Dl.O(d2) = 48853108,256451873,22946850,16710476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023830, s2 = 6604211, dlinesl.size( ) = 2 s1 = 11023830, s2 = 6604211, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 11023830, Dl.E( ) = 18, 2.29e-05 seconds used appending s1 = 16175651, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14499717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14499717, s2 = 2149828, int(edited[s2]) = 0 s1 = 14499717, s2 = 2149828, d1 = 4, d2 = 3 Dl.O(d1) = 256935564,88128835,74516687,61735136,254770322,44466085,47690725,255458836,78266528,258125410,147767762,160031246,152616743,261105973,112682515,270810075,71192015,71192014,84760558,98687878,260527789,273530169,164470469,152616748,139908830,126545307,112682516,270810075,71192015,58470355,47092520,47092519,58470353,71192013,84760556,98687876,112682508,261657065,273332050 Dl.O(d2) = 84760558,98687878,260527789,263100915,175249587,262710700,164470460,164470461,175249594,262710702,273530171,175249601,164470469,152616748,139908830,126545307,112682516,270810075,71192015,71192014,84760558,271304729,126545296,139908825,152616741,164470457,164470451,152616735,139908822,139908823,152616737,164470452,175249590,184814710,175249601,164470469,152616748,139908830,126545307,112682516,270810075,71192015,58470355,47092520,257445532,254225653,2756829,1598133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14499717, s2 = 2149828, dlinesl.size( ) = 2 s1 = 14499717, s2 = 2149828, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14499717, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 1952420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1952420, s2 = 2644076, int(edited[s2]) = 0 s1 = 1952420, s2 = 2644076, d1 = 1, d2 = 9 Dl.O(d1) = 50297823 Dl.O(d2) = 74560724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1952420, s2 = 2644076, dlinesl.size( ) = 2 s1 = 1952420, s2 = 2644076, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1952420, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 2959038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7655535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15144377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2648934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6614219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6614219, s2 = 8090310, int(edited[s2]) = 0 s1 = 6614219, s2 = 8090310, d1 = 61, d2 = 10 Dl.O(d1) = 256552125 Dl.O(d2) = 15771998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6614219, s2 = 8090310, dlinesl.size( ) = 32 s1 = 804605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 804605, s2 = 9806928, int(edited[s2]) = 0 s1 = 804605, s2 = 9806928, d1 = 10, d2 = 32 Dl.O(d1) = 20940094,15031756,13595858,13595857,16265396,17871747,12655892,8592482,8592480,12655887,256552311 Dl.O(d2) = 33206441,42166608,52524978,58270546,46905257,37028033,28530016,21307603,19406848,13883830,13883831,11116518,11116517,16011624,17522467,12357125,12357124,17522462,23866499,23866631,23866630,28885755,29460643,29810722,22443876,16275182,11317033,7514408,4750316,4750317,7514413,11317043,16275201,15337366,15337367,18789302,18789301,22443801,21307462,21307463,24075619,24075620,25374241,29810648,22443815,16275146,15337449,15337448,21307037,15337658,15337657,17321168,12196257,8226482,5296952,5296953,8226489,12196271,17321198,22341338,21307027,21307026,28351976,28351975,36849589,31360538,28529612,21307268,21307267,28529610,37027624,38592679,30020047,30020048,31178759,255824553,15337593,10593248,10593249,15337595,21307294,28529645,31252555,23768377,23768376,31252553,36833373,256311268,31687378,40307123,46868062,37730848,37730847,46732544,36849617,36849618,31618653,24113379,24113378,31618650,40306970,256684120,12866595,8750153,8750152,12866593,18143249,18143248,18144746,24589770,32176195,39861885,31179266,23689836,18143869,18143870,24588697,32174889,40954322,39265682,33048770,33048769,41992199,52331661,44362902,44362901,40955464,40955463,37707039,32247358,32175134,24588894,24588892,32175131,29741504,29741337,29741338,28506105,268001292,15322570,21286969,28506102,29649041,38215540,44597037,39801308,31120835,23634363,17318447,17318448,23634364,31120837,29769572,22406292,16243502,16243504,22406294,23690340,21286966,21286967,255577574,31513810,32176605,37730733,37730732,39729197,31050359,23565960,17254579,17254578,17254577,23565958,29741341,255657302,24589967,25320303,25320302,33048630,33048644,268292895,13341812,13341811,18741726,25320310,33048641,41992107,40396432,40396433,34985053,26904789,20021696,14340069,14340068,20021691,26904775,268824863,43034528,43034527,39861828,255255800,26904842,26904843,22382560,22382562,29741427,24249873,17872639,12656536,12656537,17872643,24249879,29170638,21861041,21841563,255057609,7226358,4553904,4553905,7226360,10924495,15771960,21841572,29149764,28916347,28916348,30569574,23152129,23152130,30569575,30222818,22830674,16609414,11584330,11584329,9138755,5980348,5980350,9138764,13371345,18775705,23748474,17423022,17423021,23748470,31232013,23812204,17478278,17478279,256013067,31298081,30676356,23260196,23260197,30676352,23260194,16997155,11911404,11911405,16997157,23260199,30676358,39272801,49198990,258206715,73344825,86956453,100940212,114994437,128896537,142248304,154882428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 804605, s2 = 9806928, dlinesl.size( ) = 2 s1 = 804605, s2 = 9806928, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 804605, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 3301033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3301033, s2 = 13470120, int(edited[s2]) = 0 s1 = 3301033, s2 = 13470120, d1 = 28, d2 = 58 Dl.O(d1) = 105701355,258771260,77545144,88422340,258555790,74078611,74078612,258294063 Dl.O(d2) = 44829901,36968113,28469513,28469512,256848379,58214999,70932271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3301033, s2 = 13470120, dlinesl.size( ) = 16 s1 = 10331171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10331171, s2 = 14002868, int(edited[s2]) = 0 s1 = 10331171, s2 = 14002868, d1 = 55, d2 = 48 Dl.O(d1) = 17007,9758,9759,5501,5500,5285,2813,1425,693,695,1432,853,410,194,192,254068891,1710,254069285,11005,19229,33592,33636,33635,59868,60368,33928,33927,59836,33617,19240,19239,33613,59830,109053,109052,109868,60313,60315,109402,200795,366597,366253,366252,200505,109186,59885,59886,109190,60331,60332,109896,109631,109632,201160,201159,366591,661304,662738,367654,254081039,109721,201260,367651,254090795,201432,201463,109903,60338,60339,109908,201474,367498,201120,201119,201272,367674,660816,660815,661051,1177498,2052585,3461300,3463241,3469076,5591288,5591234,3468756,3463240,2053900,1178439,1178438,254139903,367490,367489,662678,1180081,2056972,2052611,1177515,661048,661046,1177509,2052604,3461310,3468843,3468792,2056910,2056909,2053848,1178399,661723,661722,1178396,2053842,3463170,5581609,3468808,3461168,3461167,3463208,3463211,2053868,254282955,5581668,5591303,3468835,2056950,1180067,662670,662668,1180062,2056944,3468825,3468787,2056906,1180027,1180028,254283243,1180504,1180503,1178388,1178390,2053832,3463155,5581592,254282953,2053862,3463205,3468781,5581627,3463184,3463181,5581623,8589893,5581691,5581690,5591236,3468860,3468858,3462569,3462570,5580757,8588601,8608747,5594295,3470764,254421247,3470770,2058263,1180961,663294,663295,1180963,2058265,3470777,5577783,8583985,12642367,8605883,8605884,8583981,254874373,17851887,12644533,8608759,8608758,12676404,12651521,8589871,8589872,8604276,8589846,5581567,3470757,2058256,2058255,3470755,5594282,8608735,8608752,5594300,3470767,3470766,5577979,3470775,254420405,3463159,5581598,8589876,255590751,17851889,12642362,12642363,17851892,17865511,17865512,17862810,12649609,12649610,12642650,12642649,8589840,5581560,3463133,3463134,5581562,3470471,2058040,2058039,3468513,2056693,2056694,3468495,5590861,8603690,12644542,8585491,5578780,5578779,5593997,5593998,8608240,5593992,5593991,5594309,5594308,8584417,8584416,12642931,12651531,17865416,24241158,24275163,24275161,31732133,24276082,17895955,17895956,24241142,24241133,24241134,31752948,24265300,17886746,12669330,8603709,5590874,5590872,8603706,12651515,8589867,8589866,5593817,3470459,3470461,5593823,8603732,5590887,5590886,8603728,12669340,17886724,17886725,17854831,17854823,17854822,12669305,12669307,17886721,17851926,12676402,12676401,255594647,12675703,8608276,8608274,12675700,17895035,17886731,17886730 Dl.O(d2) = 254773310,20149751,20149749,23025809,22665465,16470505,16470506,22665470,17810941,17810939,20151871,20151870,17810908,17810907,24179312,18865650,13442488,13442489,16164123,16414066,11581656,11581654,14456119,19704269,16469971,11475474,11475475,15553543,12312665,8316711,8316710,12312660,17464713,23797062,20012138,14332360,9845606,9845607,14332363,14454388,14332419,9845640,9845637,14332412,19703256,17376189,12244265,8269441,8269442,12244268,16172258,16163726,16163727,14128689,9720032,9720030,14128673,11239561,11239560,16172154,14454602,14454604,17798651,17798650,19702246,14332176,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,8449566,5457777,5457778,8449568,12478888,17462572,17462569,19704462,21785366,21785368,21800210,17464298,16163253,11230192,11230191,7459838,7459839,11239506,15739537,12245266,12245268,17377154,12312764,12312766,12294135,12294138,16171091,16171088,21793106,21793104,19837328,15726447,10890283,10890287,10897885,10897880,10435926,7208485,7208483,10899205,10899187,10436311,6880043,6880044,10436315,15131426,15131444,20310232,15737836,15737834,12241704,12241705,12677532,12677534,11239302,7459710,7459709,7459765,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,8002711,8002681,5094755,3092439,3092437,5094751,8002666,11904229,16363144,22537544,29094529,29094528,23252710,21795891,21795892,19187818,19187817,17457388,12306904,12306905,17430708,23757831,17465615,12313446,8317326,5367048,3299550,1940654,1940653,3299544,5367038,8317312,12285750,10897453,7207511,7207513,10897455,15734457,21793172,22924734,17373716,16311281,11348681,7540993,7540992,11348671,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10436730,6880285,6880282,10436719,15132112,21066400,28268908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10331171, s2 = 14002868, dlinesl.size( ) = 2 s1 = 10331171, s2 = 14002868, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 10331171, Dl.E( ) = 56, 2.38e-05 seconds used appending s1 = 767920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 767920, s2 = 11224617, int(edited[s2]) = 0 s1 = 767920, s2 = 11224617, d1 = 23, d2 = 27 Dl.O(d1) = 19554192,19554193,269112578 Dl.O(d2) = 88433488,260156753,130371892,143698590,143698591,156228348,273396654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 767920, s2 = 11224617, dlinesl.size( ) = 28 s1 = 14560201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2316703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2316703, s2 = 16283114, int(edited[s2]) = 0 s1 = 2316703, s2 = 16283114, d1 = 13, d2 = 0 Dl.O(d1) = 62021468 Dl.O(d2) = 24211831,31719078,40410767,50444662,61935324,55344340,44498016,35120516,27960702,20798909,14905644,10248661,10248660,14905640,10360351,10360350,7719345,7719344,11596264,16624671,22848856,30242648,38825973,48746024,60140623,72877344,86472906,100430129,114454685,270860574,100430124,100430120,100430119,95103586,81046226,67578399,55236143,256411384,35009044,26927400,20041916,14357108,14357112,20041923,20091819,24332656,27288812,26927292,20041841,14357061,14357059,20041835,26927280,26927679,26980887,35064367,28685702,21435863,15441408,15441407,21435859,28685698,35063859,255416962,20091798,26980471,32707935,36806504,28309610,21099603,254834890,36806508,28685562,28685561,37209680,40479495,50514530,268673234,49958698,49958699,50514519,40479484,40479483,44386853,44386854,46690380,36806495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2316703, s2 = 16283114, dlinesl.size( ) = 28 s1 = 1963197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6614984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6614984, s2 = 2143179, int(edited[s2]) = 0 s1 = 6614984, s2 = 2143179, d1 = 35, d2 = 8 Dl.O(d1) = 256559117 Dl.O(d2) = 58336498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6614984, s2 = 2143179, dlinesl.size( ) = 8 s1 = 6614909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14975923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14975923, s2 = 965658, int(edited[s2]) = 0 s1 = 14975923, s2 = 965658, d1 = 132, d2 = 12 Dl.O(d1) = 143920481,130613098,116788545,102696014,88686938,258307049 Dl.O(d2) = 24395504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14975923, s2 = 965658, dlinesl.size( ) = 56 s1 = 8062262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8062262, s2 = 3215245, int(edited[s2]) = 0 s1 = 8062262, s2 = 3215245, d1 = 23, d2 = 15 Dl.O(d1) = 255364623,10326155,6794961,4260502,2547044,1467320,1467319,2547049,4260511,6794977,10326180,14995403,20899694,28071099,254821356,21654570,28932022,21660194,21660193,21654600,15619880,15619881,21654603,28932055,37473461,267901662,254566522,255144270,15619883,267884866,17059272,254742372,30746048,39345514,255530682,22970356,22970357,28932067,23324841,23324842,23324993,23324994,28931974,256343487,23774138,23774140,31258928,39933712,49950647,50827128,40723130,40723129,50827125,60269834,256885102,60269835,62409156,256885100,256453753,30371873,38957966,30371875,30371874,38957968,48877455,60269835,62409156,256885100,256453753,30371873,38957966,30371875,22970352,16734520,11691828,7797922,4945078,4945079,7797924,11691830,16734523,22970359,23092940,30507884 Dl.O(d2) = 47388601,40723100,31976048,24422400,254338514,12763961,18010394,18010396,18010395,254742366,24422405,31976052,37480982,254882972,21660176,18010392,12763959,8674776,8674775,12763957,18010388,24422391,31976032,255046852,31976019,40723075,31976043,24422396,24422395,31976040,40723098,255850956,50827113,47388603,37480986,28939002,21660180,15624074,10810333,254425176,21660175,28938998,37480981,47388599,40723087,31976030,255046854,31976038,31976037,31976022,24422384,18010384,18010383,24422380,28938996,28938995,37480977,47388590,255417676,40723070,50827087,256343482,62409148,75307243,89035306,103105883,112991616,257465280,85077019,99002357,99002362,257465268,71531848,258075972,99027476,113015160,126866872,270817848,117221951,103105868,89035290,89035291,258075970,258700024,113015163,126866877,140213140,140213138,144258767,140193463,126845262,126845263,126866873,113015161,113015162,126866874,140213143,152902976,261123602,144258768,144258769,156685104,156685105,152884696,152884695,164716616,175471005,175486862,272840096,166754535,166015819,272907454,154262919,154262918,164716619,259945314,140193461,152884694,164716618,166015820,166015821,167740614,156138023,156138024,155055217,155055216,262358896,129035091,115106580,101032518,258835221,73419628,269912448,85077031,71505051,58775744,58775743,71505050,85077029,99002366,99002378,258935834,260177270,140193469,140193470,140193467,258935830,258935832,129035085,259326268,126845265,112991625,99002371,99002370,85077033,85077032,99002375,103105872,258700028,260545772,271461718,126845269,112991626,99002384,258075976,89035295,257465276,102345440,116438625,258311182,85077048,71505061,58775751,256566550,85077046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8062262, s2 = 3215245, dlinesl.size( ) = 2 s1 = 8062262, s2 = 3215245, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8062262, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 6775590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6775590, s2 = 1988939, int(edited[s2]) = 0 s1 = 6775590, s2 = 1988939, d1 = 18, d2 = 11 Dl.O(d1) = 258317437 Dl.O(d2) = 51556012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6775590, s2 = 1988939, dlinesl.size( ) = 2 s1 = 6775590, s2 = 1988939, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6775590, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 10352757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352757, s2 = 9801966, int(edited[s2]) = 0 s1 = 10352757, s2 = 9801966, d1 = 39, d2 = 45 Dl.O(d1) = 270025519 Dl.O(d2) = 255726608,30827503,30827504,36712338,36712339,46600504,49361329,57977128,46599925,36711675,36711676,46599928,50033072,48936776,39013599,30827510,30827509,39431744,49361323,255313770,256198978,36712312,36712393,255802511,15100442,15100441,21024595,28219645,256829301,36712316,36712271,36712270,28219650,21024518,15100456,10414459,10414460,15100334,21024248,21024249,255265705,13491673,18925051,255284030,21023930,15099952,10414143,10414142,15099948,21023925,28219027,36711691,28219594,21024462,21024461,15100340,10414384,10414385,15100344,21024472,28219495,256290809,21024599,21024269,15100186,10414287,10414288,15100189,15100425,21024575,28219309,36711995,46600211,36712020,28219343,21024213,15100143,15100142,15100397,10414420,6864885,6864883,10414417,10414406,6864874,4308336,2576149,1483758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352757, s2 = 9801966, dlinesl.size( ) = 20 s1 = 14143257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143257, s2 = 5063578, int(edited[s2]) = 0 s1 = 14143257, s2 = 5063578, d1 = 32, d2 = 36 Dl.O(d1) = 227735723 Dl.O(d2) = 221205660,218280835,214799748,210569728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143257, s2 = 5063578, dlinesl.size( ) = 12 s1 = 14046706, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9124520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14914683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14914683, s2 = 10395921, int(edited[s2]) = 0 s1 = 14914683, s2 = 10395921, d1 = 6, d2 = 6 Dl.O(d1) = 13397294,9159082,9159083,13397296,18806206,255855012,17025527,11940433,7991465,5086570,5086571,7991468,8408020,8408019,12439568,11404900,11404902,16386699,18979073,18979074,23777125,17447239,12298596,12298598,12089327,12089326,17192656,23474300,30700530,37149153,47038304,39297912,39297913,31262259,31262261,256348054,21703353,21703354,28986729,30018850,31262302,31262303,38591422,39937351,46951825,37071926,37071927,30700326,23284590,23284587,30700318,39297919,49224927,60626151,73371894,86984591,100970453,115026470,128929432,142280089,154912071,166609548,177180146,186525449,194670343,201646324,207517522,212356672,216309414,265416577,226791127,265885343,231577285,232610561,231328848,229899197,228288834,226454308,224347870,221921508,265190769,215747184,264748335,206746995,200752157,263527309,175855023,165133354,153322357,262367356,85495373,71910391,59172478,47773646,256370997,29282689,256913401,36564527,28094259,28094258,20919791,15013351,15013352,13892922,9532998,6253562,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914825,3914822,6253634,3915137,3915134,6254229,9533930,13894025,19420131,26113046,33944190,28094721,28094716,33623946,25822832,25822828,33505774,33505777,42504631,43001266,53478096,65090485,269028030,65904466,53837639,43313467,34215569,34215570,43313469,53104057,59037821,71779861,70486238,57785759,57785758,52318409,256288494,25308071,18732204,13888857,9530119,9530117,13336159,9533162,9532751,6253576,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914818,3914815,3914966,3914963,254670303,255703885,255703881,13893446,13892080,9532749,6253574,3914805,3914802,6253563,3914805,3914801,6253346,3914705,3914702,6253335,6251739,6251737,9530018,13888705,18732807,25282085,25282082,26109971,33944990,33733261,33733260,42763227,42997843,53473888,52319215,52319216,52753854,52753853,53478027,52557641,42198425,33237883,33237882,41978944,33035608,33035609,32204908,32204907,40987216,42653031,33624534,25823251,19172474,13691151,13691149,255608772,255608770,25822999,33624179,41978666,41978664,52319349,64171372,258435396,71779778,257818600,65488824,78819417,75621129,62676465,51046920,40906374,32129629,24549458,18113448,254888038,8734294,12843975,12843979,254625478,24549462,32129632,40906377,51046926,62676468,75621132,89383308,259577544,117608944,131408750,260789938,168472282,178778245,182961240,182961241,263187494,173077135,166105087,154358537,141709276,128361695,114485370,100460445,86502199,72905735,60169016,48774768,38854828,30270504,22873417,16645304,16645305,16411813,12992232,8844921,5764408,5764409,3590406,2140567,1236073,700519,393857,393856,700516,1236066,254291145,5764291,4799138,4799139,4861708,7683646,9491966,6260411,6260409,9542254,11433756,11433757,7613364,4816780,4816779,7613358,11447653,11417618,7588268,4799808,2893068,2893067,4799805,7588259,4892528,2948376,1709895,971880,971847,971850,1709819,1709854,971870,971869,1709867,2901820,2901822,4815207,4894251,4801973,2957318,2957319,254327021,1484112,839352,473221,473218,839342,1484081,972255,972256,1710693,2949796,4894748,254799671,7603376,7603377,11435411,16402889,13306784,9088243,5945252,3717745,2226219,1291261,254202839,3717748,3304608,3304606,2538634,2538636,3713117,3713114,5938292,9079792,8984845,5865683,3805934,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805929,4009688,3805813,3805812,6082112,9284575,13561041,255675897,33381421,42370486,52769609,64683899,77873469,91795900,81126986,67660192,257311719,256746075,27011774,20119808,14428853,14428852,13020534,13020533,13020534,8865440,8865441,9914289,9914290,14415491,20105451,26996521,34125456,26259721,26259722,34125402,26259679,26259680,20313323,14577777,10031096,10031097,14577781,11853472,11853471,16936464,23207433,30630378,34125422,34125421,26259732,19540541,13991768,13991769,19540547,26259739,34125426,34125427,256181227,26259759,34125492,36877615,46756310,42683502,33653260,25848846,25848845,33653257,42683498,53134610,65120110,78402476,92438735,106743737,120996292,272402895,160158160,171377408,181398839,190200897,264076611,209679871,214112831,217752523,220790113,223376215,225611576,227555682,229256240,230759369,230759368,229256241,228202286,226358695,224242195,221801325 Dl.O(d2) = 13397294,9159082,9159083,13397296,18806206,255855012,17025527,11940433,7991465,5086570,5086571,7991468,8408020,8408019,12439568,11404900,11404902,16386699,18979073,18979074,23777125,17447239,12298596,12298598,12089327,12089326,17192656,23474300,30700530,37149153,47038304,39297912,39297913,31262259,31262261,256348054,21703353,21703354,28986729,30018850,31262302,31262303,38591422,39937351,46951825,37071926,37071927,30700326,23284590,23284587,30700318,39297919,49224927,60626151,73371894,86984591,100970453,115026470,128929432,142280089,154912071,166609548,177180146,186525449,194670343,201646324,207517522,212356672,216309414,265416577,226791127,265885343,231577285,232610561,231328848,229899197,228288834,226454308,224347870,221921508,265190769,215747184,264748335,206746995,200752157,263527309,175855023,165133354,153322357,262367356,85495373,71910391,59172478,47773646,256370997,29282689,256913401,36564527,28094259,28094258,20919791,15013351,15013352,13892922,9532998,6253562,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914825,3914822,6253634,3915137,3915134,6254229,9533930,13894025,19420131,26113046,33944190,28094721,28094716,33623946,25822832,25822828,33505774,33505777,42504631,43001266,53478096,65090485,269028030,65904466,53837639,43313467,34215569,34215570,43313469,53104057,59037821,71779861,70486238,57785759,57785758,52318409,256288494,25308071,18732204,13888857,9530119,9530117,13336159,9533162,9532751,6253576,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914818,3914815,3914966,3914963,254670303,255703885,255703881,13893446,13892080,9532749,6253574,3914805,3914802,6253563,3914805,3914801,6253346,3914705,3914702,6253335,6251739,6251737,9530018,13888705,18732807,25282085,25282082,26109971,33944990,33733261,33733260,42763227,42997843,53473888,52319215,52319216,52753854,52753853,53478027,52557641,42198425,33237883,33237882,41978944,33035608,33035609,32204908,32204907,40987216,42653031,33624534,25823251,19172474,13691151,13691149,255608772,255608770,25822999,33624179,41978666,41978664,52319349,64171372,258435396,71779778,257818600,65488824,78819417,75621129,62676465,51046920,40906374,32129629,24549458,18113448,254888038,8734294,12843975,12843979,254625478,24549462,32129632,40906377,51046926,62676468,75621132,89383308,259577544,117608944,131408750,260789938,168472282,178778245,182961240,182961241,263187494,173077135,166105087,154358537,141709276,128361695,114485370,100460445,86502199,72905735,60169016,48774768,38854828,30270504,22873417,16645304,16645305,16411813,12992232,8844921,5764408,5764409,3590406,2140567,1236073,700519,393857,393856,700516,1236066,254291145,5764291,4799138,4799139,4861708,7683646,9491966,6260411,6260409,9542254,11433756,11433757,7613364,4816780,4816779,7613358,11447653,11417618,7588268,4799808,2893068,2893067,4799805,7588259,4892528,2948376,1709895,971880,971847,971850,1709819,1709854,971870,971869,1709867,2901820,2901822,4815207,4894251,4801973,2957318,2957319,254327021,1484112,839352,473221,473218,839342,1484081,972255,972256,1710693,2949796,4894748,254799671,7603376,7603377,11435411,16402889,13306784,9088243,5945252,3717745,2226219,1291261,254202839,3717748,3304608,3304606,2538634,2538636,3713117,3713114,5938292,9079792,8984845,5865683,3805934,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805929,4009688,3805813,3805812,6082112,9284575,13561041,255675897,33381421,42370486,52769609,64683899,77873469,91795900,81126986,67660192,257311719,256746075,27011774,20119808,14428853,14428852,13020534,13020533,13020534,8865440,8865441,9914289,9914290,14415491,20105451,26996521,34125456,26259721,26259722,34125402,26259679,26259680,20313323,14577777,10031096,10031097,14577781,11853472,11853471,16936464,23207433,30630378,34125422,34125421,26259732,19540541,13991768,13991769,19540547,26259739,34125426,34125427,256181227,26259759,34125492,36877615,46756310,42683502,33653260,25848846,25848845,33653257,42683498,53134610,65120110,78402476,92438735,106743737,120996292,272402895,160158160,171377408,181398839,190200897,264076611,209679871,214112831,217752523,220790113,223376215,225611576,227555682,229256240,230759369,230759368,229256241,228202286,226358695,224242195,221801325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14914683, s2 = 10395921, dlinesl.size( ) = 2 s1 = 14914683, s2 = 10395921, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14914683, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 13394347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13394347, s2 = 13297795, int(edited[s2]) = 0 s1 = 13394347, s2 = 13297795, d1 = 39, d2 = 59 Dl.O(d1) = 32134143,32134144,40911942,51053875 Dl.O(d2) = 13276118,14948227,10282422,10282423,14076018,14076017,15004889,10334977,6802601,6802605,10334974,10365889,6828680,6828681,10306061,14973893,20875959,28044030,36507632,46365871,57715234,70409406,83935581,259869933,111717309,125524638,138857715,151560580,163443460,174291464,183953946,192420994,263825511,199711060,205877515,205877521,199711066,199711065,199711064,205877519,210977895,215146097,218578645,221467818,221467819,221467820,223943411,226086651,227953109,227953108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13394347, s2 = 13297795, dlinesl.size( ) = 2 s1 = 13394347, s2 = 13297795, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 13394347, Dl.E( ) = 60, 1.88e-05 seconds used appending s1 = 2978535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2978535, s2 = 10162986, int(edited[s2]) = 0 s1 = 2978535, s2 = 10162986, d1 = 21, d2 = 14 Dl.O(d1) = 89393465,257596494,257016034,40915738,32138149,255138542 Dl.O(d2) = 40792133,32034895,24472194,18051833,12797367,8700648,5663365,5663364,8700642,12797361,18051819,24472153,29451170,29451171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2978535, s2 = 10162986, dlinesl.size( ) = 2 s1 = 2978535, s2 = 10162986, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2978535, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 14063830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063830, s2 = 9692981, int(edited[s2]) = 0 s1 = 14063830, s2 = 9692981, d1 = 2, d2 = 63 Dl.O(d1) = 26704274 Dl.O(d2) = 257109533,62107022,71635451,58914794,47533579,44622785,35239990,29076460,29076459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063830, s2 = 9692981, dlinesl.size( ) = 24 s1 = 6782836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6782836, s2 = 1001406, int(edited[s2]) = 0 s1 = 6782836, s2 = 1001406, d1 = 25, d2 = 35 Dl.O(d1) = 258401392 Dl.O(d2) = 25351114,33082011,42026116,42026115,42026114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6782836, s2 = 1001406, dlinesl.size( ) = 18 s1 = 14629421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14629421, s2 = 8123555, int(edited[s2]) = 0 s1 = 14629421, s2 = 8123555, d1 = 74, d2 = 71 Dl.O(d1) = 261901098,89432969,258953870 Dl.O(d2) = 18118203,18118202,18118917,24556673,18119031,12847908,8736875,5687896,3538340,2106252,1212954,684333,381489,209690,209692,381494,684348,1212986,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066209,13282223,18674369,25244511,32966364,32137957,32137958,40915589,255138362,24557836,24557838,24556739,23386718,23386719,18119467,12848168,8737011,5687959,5687958,8737006,12848157,18119443,24556989,18119148,18119147,24556982,29436627,22652627,22652625,30025686,32140555,32140554,39890105,49910339,61390522,72054595,59320091,47927624,38013359,38013360,47927626,41907500,41907499,42581909,42581910,51057927,51057024,51057025,62687277,51056995,256301216,24556109,268202750,30880225,32965865,25244031,268424072,41905194,40196315,31510389,24010444,24010446,31510393,40196320,40914402,48554159,40916426,32138965,24557238,24557236,32138956,32968097,31315802,256519449,35106304,35106305,32967298,32967297,41906720,47247429,37337569,37337570,47247434,58640560,54699870,43955718,34680584,26686417,24010583,256029249,40196537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14629421, s2 = 8123555, dlinesl.size( ) = 14 s1 = 14762338, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9420666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9420666, s2 = 2332463, int(edited[s2]) = 0 s1 = 9420666, s2 = 2332463, d1 = 1, d2 = 1 Dl.O(d1) = 220272259,217129648,213349535,208731393,273677116,196395750,188544219,179528878,169279073,157851876,145452364,132223862,118408194,104249021,90115469,76300811,63278958,51560415,41337896,38636421,38636422,32238181,24640277,18184239,18184240,12896505,8771950,5712652,5712651,8771948,12896501,18184252,24640295,24640296,32238206,41030675,51187116,62837174,75801318,259586655,117854134,131682279,144931058,157344828,168783846,179063276,178121635,167662343,156056784,143520462,130190876,116352252,102257804,88259658,74629610,257674845,40326443,31636972,255585085,12572563,255195297,24129859,24135612,24135613,268262371,17803786,17771883,17771881,17763475,12569885,12569884,12242733,8268051,5334829,5334827,5555491,3439792,2035345,2035346,3439798,5550411,5550412,5523861,5523860,8525098,7718039,7718038,11235031,16167492,16173327,17766533,12572564,8526724,5525362,5525363,4881896,2941706,2941705,4881893,7713363,11587885,16613363,22834479,268649749,38808911,37930033,29363240,22032396,15930970,11054151,11054150,13378521,18783950,25367685,33102206,28957616,21676305,21676307,24639310,268465427,37500604,268813998,25733256,25733259,28222773,36715557,46603708,57980839,70698726,84250491,98144070,112102862,260381718,139284925,151991878,262071762,154263105,141607125,141607124,141607127,128256433,128256434,141607128,262746319,186073820,176657258,263180839 Dl.O(d2) = 220272259,217129648,213349535,208731393,273677116,196395750,188544219,179528878,169279073,157851876,145452364,132223862,118408194,104249021,90115469,76300811,63278958,51560415,41337896,38636421,38636422,32238181,24640277,18184239,18184240,12896505,8771950,5712652,5712651,8771948,12896501,18184252,24640295,24640296,32238206,41030675,51187116,62837174,75801318,259586655,117854134,131682279,144931058,157344828,168783846,179063276,178121635,167662343,156056784,143520462,130190876,116352252,102257804,88259658,74629610,257674845,40326443,31636972,255585085,12572563,255195297,24129859,24135612,24135613,268262371,17803786,17771883,17771881,17763475,12569885,12569884,12242733,8268051,5334829,5334827,5555491,3439792,2035345,2035346,3439798,5550411,5550412,5523861,5523860,8525098,7718039,7718038,11235031,16167492,16173327,17766533,12572564,8526724,5525362,5525363,4881896,2941706,2941705,4881893,7713363,11587885,16613363,22834479,268649749,38808911,37930033,29363240,22032396,15930970,11054151,11054150,13378521,18783950,25367685,33102206,28957616,21676305,21676307,24639310,268465427,37500604,268813998,25733256,25733259,28222773,36715557,46603708,57980839,70698726,84250491,98144070,112102862,260381718,139284925,151991878,262071762,154263105,141607125,141607124,141607127,128256433,128256434,141607128,262746319,186073820,176657258,263180839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9420666, s2 = 2332463, dlinesl.size( ) = 2 s1 = 9420666, s2 = 2332463, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9420666, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 2334269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1499943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15993384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6503071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 779821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6618105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6618105, s2 = 11243942, int(edited[s2]) = 0 s1 = 6618105, s2 = 11243942, d1 = 128, d2 = 112 Dl.O(d1) = 256594283,51393884,63085346,76085347,89885875,104010687,104010684,104010683,118166175,131982727,145216158,145216156,271949085,104010680,104010682,118166172,131982717,118166168,118166169,131982720,131982732,118166183,118166179,104010686,104010687,104010684,104010683,118166175,131982727,145216158,145216156,271949085,104010680,104010682,118166172,131982717,118166168,118166169,131982721,131982734,118166184,118166185,131982735,118166190,259599915,76085352,89885882,104010695 Dl.O(d2) = 255939699,22810024,21850690,15779892,10931179,10931180,14364255,20049945,22808916,20074086,14391421,9897492,9897491,255043572,10813670,7146164,7113477,7113401,4478742,4478743,7113412,7532521,4764945,4764946,7532507,7532504,4765231,2872594,1667160,948293,534606,299737,299735,534603,948287,967933,545195,305400,305396,545186,967908,1702752,2936193,4872597,7698853,11566890,16586990,256438681,48702345,60098043,271780906,114407239,128283205,261213261,114431493,259421931,72855362,60118390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6618105, s2 = 11243942, dlinesl.size( ) = 32 s1 = 16169207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7220305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7220305, s2 = 9728235, int(edited[s2]) = 0 s1 = 7220305, s2 = 9728235, d1 = 56, d2 = 60 Dl.O(d1) = 264181058,63129387,51431753,41233668,32408796,256000440,12991437,8844235,8844234,256596143,51431752,63129385,258420156,77142840,256656452,65519194,259721043,37418511,47327046,58716078 Dl.O(d2) = 267062790,242991877,267102090,242323250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 16266931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16266931, s2 = 11586509, int(edited[s2]) = 0 s1 = 16266931, s2 = 11586509, d1 = 40, d2 = 93 Dl.O(d1) = 222398772 Dl.O(d2) = 266694409,237766575,238464552,238502869,238502870,239137847,239721711,239688711,239102709,266694409,237766575,238464552,238502869,238502870,239137847,239688710,274760742,237766573,237766572,238464551,239102707,238464553,238464546,237766569,236998608,236998607,237766575,266697693,237047178,266550536,266375504,237275087,236458514,235564014,265784896,265468052,231001314,229534019,227881888,226001616,223845905,221358562,218454852,214998348,210795843,262455122,261418570,173769482,162770372,150676321,137680263,123999442,109861202,95658125,81625081,68135221,55737389,44829734,35404166,27278095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16266931, s2 = 11586509, dlinesl.size( ) = 2 s1 = 16266931, s2 = 11586509, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16266931, Dl.E( ) = 94, 4.91e-05 seconds used appending s1 = 6531099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070090, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16270443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16270443, s2 = 1634577, int(edited[s2]) = 0 s1 = 16270443, s2 = 1634577, d1 = 58, d2 = 3 Dl.O(d1) = 231618062 Dl.O(d2) = 41424069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16270443, s2 = 1634577, dlinesl.size( ) = 46 s1 = 15389627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178822, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1994043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1994043, s2 = 11648516, int(edited[s2]) = 0 s1 = 1994043, s2 = 11648516, d1 = 16, d2 = 103 Dl.O(d1) = 51812070 Dl.O(d2) = 59242585,71979997,258642583,57969125,258642581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1994043, s2 = 11648516, dlinesl.size( ) = 2 s1 = 1994043, s2 = 11648516, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1994043, Dl.E( ) = 128, 2.91e-05 seconds used appending s1 = 15459973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6762011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6762011, s2 = 11282934, int(edited[s2]) = 0 s1 = 6762011, s2 = 11282934, d1 = 32, d2 = 30 Dl.O(d1) = 258176346 Dl.O(d2) = 128132045,262263039,141493511,260676338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6762011, s2 = 11282934, dlinesl.size( ) = 10 s1 = 14098653, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2001727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2001727, s2 = 6644296, int(edited[s2]) = 0 s1 = 2001727, s2 = 6644296, d1 = 10, d2 = 131 Dl.O(d1) = 52072445 Dl.O(d2) = 21706375,15664619,10843787,10842314,10842315,15662308,21703247,28986612,256889783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2001727, s2 = 6644296, dlinesl.size( ) = 24 s1 = 2354472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2354472, s2 = 8116386, int(edited[s2]) = 0 s1 = 2354472, s2 = 8116386, d1 = 9, d2 = 26 Dl.O(d1) = 63900798 Dl.O(d2) = 55380135,44533833,35157602,27071601,27065097,20170878,14472010,9957353,9957355,14463627,9950852,6539958,4097405,2451191,1417160,1417159,2451189,4097401,6539950,6542063,9954120,9958022,6544795,6544796,9958023,14468343,14468342,20166693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2354472, s2 = 8116386, dlinesl.size( ) = 2 s1 = 2354472, s2 = 8116386, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2354472, Dl.E( ) = 40, 1.31e-05 seconds used appending s1 = 8246648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8246648, s2 = 10751091, int(edited[s2]) = 0 s1 = 8246648, s2 = 10751091, d1 = 14, d2 = 17 Dl.O(d1) = 77018292,258152704,52087640,41773978,32853280,32853279,29329810,29329811,37898312,47820231,47820230,256622195,32853276,41773976,52087639 Dl.O(d2) = 220452566,223089373,225364781,227342226,229071159,230596695,231765854,231765855,231954357,231954358,233176735,233176734,266050315,230381528,228823116,228823115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8246648, s2 = 10751091, dlinesl.size( ) = 2 s1 = 8246648, s2 = 10751091, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8246648, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 2353064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15204255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6781158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14929597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14929597, s2 = 14098567, int(edited[s2]) = 0 s1 = 14929597, s2 = 14098567, d1 = 55, d2 = 3 Dl.O(d1) = 28035795,20867945,14965904,10298319,10298318,10351764,13312135,9092878,9092879,255250527,256628425 Dl.O(d2) = 76828060,258963644,119055413,132877807,146097805,261912430,180005913,180005909,169827224,169827225,180005912,188964196,196725943,196219669,188337206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14929597, s2 = 14098567, dlinesl.size( ) = 22 s1 = 13423683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 652659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 652659, s2 = 7765675, int(edited[s2]) = 0 s1 = 652659, s2 = 7765675, d1 = 27, d2 = 31 Dl.O(d1) = 16656410,11623992,254549317,2954839,2954840,4902541,6171042,6171041,254645599,3730447,3730448,3730563,3730562,5965684,9117614,13344185,18744308,25323188,256632769 Dl.O(d2) = 274621842,229155276,230669174,232018280,233233155,234332974,235228296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 652659, s2 = 7765675, dlinesl.size( ) = 8 s1 = 16227387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16227387, s2 = 14258454, int(edited[s2]) = 0 s1 = 16227387, s2 = 14258454, d1 = 24, d2 = 15 Dl.O(d1) = 3447235,3447236,5563538,8567957,254156056,7671681,7671680,10287963,9096820,5951587,3721918,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720101,5948672,9092976,11668112,11668111,14972120,10304395,6776309,6776310,10304397,10321837,7672265,7672266,5935118,3711057,2222311,2222309,3711055,5935116,6777719,6772449,4254405,4254406,6786478,10316368,14984634,14964920,10297346,10297347,10308326,6779769,6779768,4257977,4257978,6791435,8600712,5588847,5588622,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706488,2219807,2219809,3706525,5927768,4254518,2543406,2543404,4254507,3817732,2287191,2287192,3817734,5981560,3740335,3740337,4460099,7084133,10297007,6769845,5952990,4234498,2531783,2531784,3176685,5206832,4286559,2562743,1475779,1462538,1462537,2538197,2758367,2758364,4584788,7270165,10983405,10364898,6827877,6827878,6827875,6827876,10364896,15037451,20946065,28123673,36597006,46463366,57819339,70520269,84055157,97925800,111860034,260709780 Dl.O(d2) = 37290395,257452775,257699754,44499371,35121816,27034887,20142065,256014307,17486717,17486716,23823448,21758301,21758302,29052737,37600930,47504874,48068185,52696336,59820409,48434354,38526425,29960922,255793678,22596303,16413228,16413229,11552269,7686356,4863581,254544801,11552259,16571264,22787081,30175775,29503329,22163808,16041808,11138762,7388207,7388209,11138766,16041812,22163811,26399040,24772039,18292843,18292842,24772037,30821884,255659098,49356038,60759235,73508343,87127147,259023450,115202980,129134574,142511826,149621105,136355115,122371049,107944719,93507438,79370843,66002927,53932527,43405662,257270687,269146870,49792158,39772417,31094165,23610610,17298022,17298024,23610618,23610756,23610758,22840825,16618600,11592035,255116863,14116879,9712140,9712139,14116877,19689303,26426793,29830150,22462785,16294666,11337157,7533831,7533829,11337153,16294660,22462779,26981485,26981486,35064965,42609828,33586056,25790479,25790480,26342857,19614114,14055244,9664783,6355331,6355332,9664788,14055253,19614133,26342878,32724086,268814742,38376833,38376834,34216449,26342840,26342839,34216446,36994204,35199293,27109437,22202142,16072864,16072866,22202148,22369675,22369676,29726243,29545603,22202201,22202202,19455627,19455628,26154626,33231110,25482478,18880056,18880057,25482480,23060648,23060647,30469786,39060375,40368091,31673492,24163878,17796091,17796090,24163875,31673489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16227387, s2 = 14258454, dlinesl.size( ) = 2 s1 = 16227387, s2 = 14258454, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 16227387, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 2013366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15975623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2372983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2372983, s2 = 6645654, int(edited[s2]) = 0 s1 = 2372983, s2 = 6645654, d1 = 15, d2 = 17 Dl.O(d1) = 64406194,52533017,42175382,33216638,25469896,268145035,13446280,18869822,25469902,33216648,28836868,24263385,24263384,255592178,36420185,255585812,26623295,26623296,26160865,26160864,29320892,21992044,268003456,33999385 Dl.O(d2) = 21992757,19458882,13925755,9558430,9558429,13925750,12574905,11530823,11530822,13617458,9324372,9324373,13617460,19074232,15892998,11017645,7294009,4600002,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018270,11018271,15894033,21991557,19565684,19565683,21991834,15894238,11018372,7294394,7294395,11018379,10379246,6839398,6839400,10379254,12575013,13925046,13925047,19433344,13905142,13905143,13927009,19460735,17075807,11988860,11988862,13617402,13926912,16709315,11668575,7778589,4929856,2973687,2973686,4929855,7778588,11668574,16709313,17008093,17008094,18686796,20947909,255007767,6829465,4284621,4284622,6829466,10366800,15039308,20947911,28125598,36599163,46465982,57822700,70524854,84061539,97934513,111870516,125687318,139025438,151727843,262622547,184096123,185539357,185539358,193799190,185539355,185539354,185539356,263539147,185539357,176075497,165393864,262205650,127597090,113728688,99714447,85760489,72166277,59427629,48035285,256903758,22211653,268083957,11167637,16080684,22211658,29556670,268690928,11252899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2372983, s2 = 6645654, dlinesl.size( ) = 2 s1 = 2372983, s2 = 6645654, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2372983, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 14484849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15482263, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2377749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104479, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6532863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6532863, s2 = 3308174, int(edited[s2]) = 0 s1 = 6532863, s2 = 3308174, d1 = 5, d2 = 0 Dl.O(d1) = 255657581,255673581,13540566,13540565,18976250,256654699,52712294,260287365 Dl.O(d2) = 105930976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6532863, s2 = 3308174, dlinesl.size( ) = 2 s1 = 6532863, s2 = 3308174, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6532863, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 16167177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6624316, s2 = 6694291, int(edited[s2]) = 0 s1 = 6624316, s2 = 6694291, d1 = 41, d2 = 72 Dl.O(d1) = 256655795 Dl.O(d2) = 164458766,272531650,126532915,112670157,98675549,84747917,84668050,257444362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6624316, s2 = 6694291, dlinesl.size( ) = 14 s1 = 2381149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9385053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6624374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6624374, s2 = 7682434, int(edited[s2]) = 0 s1 = 6624374, s2 = 7682434, d1 = 30, d2 = 37 Dl.O(d1) = 256656605 Dl.O(d2) = 272384446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6624374, s2 = 7682434, dlinesl.size( ) = 14 s1 = 9358557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9358557, s2 = 286981, int(edited[s2]) = 0 s1 = 9358557, s2 = 286981, d1 = 8, d2 = 1 Dl.O(d1) = 2263126,2263130,2263031,2263035,3778097,6039208,9222353,12946816,12946812,13592165,13592164,19041001,25660094,33428509,42419328,52820972,64736798,77928016,91816906,77895338,255712428,52792472,254674848,25637091,19020730,13576096,9295565,254094866,3809856,6089206,9295563,13576089,19020721,25637074,33403469,42392611,42878905,33836198,26017274,26017273,26353574,25650268,19031915,19031914,19623794,19017484,13573105,9293101,6087701,3809078,3809080,6087709,6088096,6088093,9293746,13574070,19018713,25635027,33401341,42390336,52789655,64703353,77892162,91813324,106007487,120208269,259734472,159614951,261515700,189926098,195528122,187517780,178315927,167888691,156307459,143782408,130453308,130453309,143782409,156307461,167888695,178315924,263269877,262377371,156307466,167888700,178315932,187517782,187517781,187517787,178315930,167888697,167888698,262846033,156307463,143782416,130453312,130453311,143782413,156307466,167888700,178315932,187517782,187517781,187517787,178315930,167888697,156307465,143782412,130453310,116607923,102503010,258922521,62057957,50565270,40528735,31831356,24313339,17928016,12702926,8630413,5612080,254284873,2070012 Dl.O(d2) = 387855,693289,1225939,2125174,3565770,5727044,8792341,12924718,18222106,24689861,256588775,51292708,62968939,75950497,85013170,71440457,58709097,47320127,37411681,28870323,255375972,10768387,7114880,7114851,4479670,4479668,7114849,10768344,15568322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9358557, s2 = 286981, dlinesl.size( ) = 2 s1 = 9358557, s2 = 286981, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 9358557, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 6823582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6823582, s2 = 11304144, int(edited[s2]) = 0 s1 = 6823582, s2 = 11304144, d1 = 38, d2 = 62 Dl.O(d1) = 258883600 Dl.O(d2) = 261132210,152704559,140007818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6823582, s2 = 11304144, dlinesl.size( ) = 34 s1 = 3227447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3227447, s2 = 6789512, int(edited[s2]) = 0 s1 = 3227447, s2 = 6789512, d1 = 121, d2 = 77 Dl.O(d1) = 101629926,100443050,87662427,74058455,61278748,49800308,39781183,31102572,31102571,28510837,28510836,37009423,39781190,39781191,49800350,49800349,52833259 Dl.O(d2) = 258477614 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15100639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2033005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11143550, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14098854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14098854, s2 = 14164479, int(edited[s2]) = 0 s1 = 14098854, s2 = 14164479, d1 = 6, d2 = 5 Dl.O(d1) = 189078464,189078465,180128297,180128296,180128301,169953302,158587839,146213262,261945893,158587844,158587843,169953309,180128304,180128305,189078473,264038823,203501879,196874942,189131089,262416404,163347818,158665021,146296811,146296810,146213236,132979443,132979444,133069295,119239419,105046988,90868195,76990074,76990073,90868194,105046986,119143932,105046983,105046984,119239415,133069289,146287728,146213230,146213231,133060172,133060173,146287726,147386921,134173297,260298125,106136007,106136022,91939233,78014932,78014931,91939231,106136018,120339106,134173310,134173295,120339089,120339090,120339086,106136002,91939222,78014925,64819957,52898151,52898150,64819956,78014923,91939221,259682549,78014927,64819967,52898156,42491369,33494799,33494798,42491367,52898152,64819960,78014928,78014910,257812535,52898143,64819944,52898139,256664861,33494789,33494790,25718747,19089597,13629160,13629161,19089598,18906764,18906765,24724601,255622901,18251600,13629168,13629169,18256189,18257755,12954442 Dl.O(d2) = 18257754,19089602,25718751,33494794,42491358,42257615,268308348,25517692,33277923,42257617,52643122,52643121,64542302,77724190,77724191,64819952,64819953,78014913,78014914,78014915,91939215,106135995,120339079,130067756,116159935,102103270,88116801,74505600,61724422,50245539,40225304,40225305,256229900,40225172,40225173,50245412,59371122,47980882,38068687,36929605,28430924,28430923,36929602,46807944,53409448,42942886,42942887,53409450,256888364,51097292,48927178,39003114,30413932,23009270,23009271,30413933,39003115,48927180,55447985,61542811,50064749,40045413,31365171,31365172,40045415,35217928,27124786,20220415,20220414,27124784,35217924,29142067,21834291,21834293,29142068,37702905,47625860,57655690,55445685,55445686,57655693,57655694,46311127,36458330,27999775,20835397,14936682,10272722,6750938,4230216,2529290,2529289,4230215,6750936,10272719,14936678,20835377,20835376,256270201,42165215,33205037,25457769,25457768,33205035,42165213,52523614,52523601,52523602,46603165,36715055,28222317,21027068,15102934,10416880,6867065,4309946,4309945,4309948,6867068,10416888,15102948,16271369,16271368,16294904,17870762,24247710,31759540,40453937,50489742,61981731,70698226,57980353,46603209,36715105,28222350,28222351,36715106,43178246,34094065,34094066,43178247,53689131,256830849,36729896,46617827,57993939,70710847,258011876,40790090,40790091,50906874,53290861,65282571,55678028,44769152,35343602,27219891,20291300,14560659,14560658,20291298,21617756,15587738,10783183,9086820,9086819,13305255,254644136,27282255,21617755,21617754,255280818,20291226,14560601,14560600,20291224,20291113,14560509,14560508,20291112,27219688,35343423,34092126,26230299,19514619,19514618,26230297,34092121,34092122,43175924,257851639,79098640,84253319,70701855,257914388,28225900,21029760,15104844,10418165,10418166,15104847,21029763,28225903,36719400,46607578,57984416,70701863,84253327,98146653,112105253,106902203,106902202,121168983,134977691,137247832,137247831,123517840,109326472,95071590,95071591,109326474,95071593,81012460,67542717,257901489,55198790,44348217,34970674,34970675,44348218,55198793,67542719,81012461,86780679,73168038,60421395,60421396,73168040,256460070,60421418,60421310,49017527,39087882,30491223,30491222,39087879,49017522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14098854, s2 = 14164479, dlinesl.size( ) = 2 s1 = 14098854, s2 = 14164479, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14098854, Dl.E( ) = 8, 4.77e-06 seconds used appending s1 = 15533982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15291267, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10139919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14635495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14635495, s2 = 9564335, int(edited[s2]) = 0 s1 = 14635495, s2 = 9564335, d1 = 88, d2 = 138 Dl.O(d1) = 261047354 Dl.O(d2) = 181352121,262123112,261600620,134716179,127297974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14635495, s2 = 9564335, dlinesl.size( ) = 14 s1 = 15162565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15162565, s2 = 9186645, int(edited[s2]) = 0 s1 = 15162565, s2 = 9186645, d1 = 0, d2 = 0 Dl.O(d1) = 30355175,22953369,22953370,23350329,29195496,29195495,22952199,16715387,16715385,22952196,30354006,29994272,22625841,16440281,16440280,22625838,16734206,16734208,16717582,11675768,11675767,16717579,22954252,30356150,38942447,38957738,30371589,30371590,38957740,38956886,38956885,30675447,23259331,16996424,16996426,22970038,30371577,23359953,23330578,23330570,23330569,30753018,38941028,30775536,23371725,17102865,17102866,23371727,22378086,17091269,16286860,16286861,22455250,17072650,17072651,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,267837496,17009375,23271585,28588299,22427888,16261046,11921688,11921691,16261125,12008007,12008004,8064948,8064947,5158502,5158501,5116381,5116379,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002032,11953582,254129322,7523259,11327074,267794836,12008451,8065623,8065624,11942010,10770619,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869448,11973888,11973886,17064889,21599643,15572082,15572081,12018400,8077669,8077668,10770657,7116416,7116415,5070454,5070453,254103138,5066403,5066405,7963956,11906785,16992422,23255760,23280378,17021577,17021578,17021576,255140960,39293161,49219800,60620324,73364874,86507253,72910753,72910754,86421249,258802709,60173784,269830651,86507256,100465187,114489623,100465183,100465182,261219549,141712489,154361431,154361425,154361424,262278851,147907292,260907767,259069315,259069313,65220599,270025551,271081315,92555618,78509531,78398007,65115727,53130201,53130183,42679112,33649182,25845225,25845224,33649181,42679111,53130181,65115697,78397974,92434297,106739848,120992498,261114765,120992495,106739846,106739847,120992497,271776423,98861283,84934115,84934116,98861285,112849539,98861280,84934113,71357129,58619865,58619866,71357131,84934110,259316753,112849533,126701331,140048558,260350174,259102082,78251925,78251926,64978540,54869083,44068401,44068400,44373597,44373598,53003689,42618911,256153327,268151117,6134823,3838153,254207835,1334162,2299399,3838151,6134821,6285984,3936790,2356881,1364975,777610,441296,441299,777533,1364403,2354593,3933117,3848640,3848645,6150613,6130178,3836123,2298181,2287460,1327055,757542,430608,243057,134352,73027,73031,73403,39724,39719,73376,134930,244183,432364,254148927,1380268,2384549,3978984,6342112,6122442,3830575,3830576,254660397,13650544,9347339,6122436,6122435,254660393,13650549,19119100,25757640,255684645,13650551,9347340,254935805,19119102,268500997,19119096,254935803,6122434,9347337,13650543,255684641,257224565,257816670,64977622,53002737,268757273,33546398,42562793,53002734,64977626,78251070,258433500,78251065,258433498,78251057,78251056,259690219,120824665,116486536,258259896,257068234,61957834,257651002,58128149,258653951,270310938,74050894,61271353,61271352,74050893,87653928,101620717,259961114,142866174,155448401,167088123,174963939,164145136,152259173,139527480,126151957,112291683,260502031,139527477,152259170,164145132,174963935,184567988,263382776,164709245,262088217,137395767,271659727,95218496,81161742,257914315,44509380,35132617,27047054,20154508,14458297,14458298,20154510,27047058,257314621,44839137,44839138,55746899,68144736,81634828,85561911,71974573,59236781,47839542,37918366,29349828,22018093,268219475,11038580,7313031,7313032,11038582,15916638,22018101,29349835,37918372,47839550,48579534,38663412,30086166,22704316,16500564,16500563,22704313,30086160,22713007,22713008,30094603 Dl.O(d2) = 30355175,22953369,22953370,23350329,29195496,29195495,22952199,16715387,16715385,22952196,30354006,29994272,22625841,16440281,16440280,22625838,16734206,16734208,16717582,11675768,11675767,16717579,22954252,30356150,38942447,38957738,30371589,30371590,38957740,38956886,38956885,30675447,23259331,16996424,16996426,22970038,30371577,23359953,23330578,23330570,23330569,30753018,38941028,30775536,23371725,17102865,17102866,23371727,22378086,17091269,16286860,16286861,22455250,17072650,17072651,17072642,17072643,23286515,22956552,22956551,17031988,16961594,16961596,11873595,11873597,7977440,5076753,3078734,3078733,5076746,267837496,17009375,23271585,28588299,22427888,16261046,11921688,11921691,16261125,12008007,12008004,8064948,8064947,5158502,5158501,5116381,5116379,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002032,11953582,254129322,7523259,11327074,267794836,12008451,8065623,8065624,11942010,10770619,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869448,11973888,11973886,17064889,21599643,15572082,15572081,12018400,8077669,8077668,10770657,7116416,7116415,5070454,5070453,254103138,5066403,5066405,7963956,11906785,16992422,23255760,23280378,17021577,17021578,17021576,255140960,39293161,49219800,60620324,73364874,86507253,72910753,72910754,86421249,258802709,60173784,269830651,86507256,100465187,114489623,100465183,100465182,261219549,141712489,154361431,154361425,154361424,262278851,147907292,260907767,259069315,259069313,65220599,270025551,271081315,92555618,78509531,78398007,65115727,53130201,53130183,42679112,33649182,25845225,25845224,33649181,42679111,53130181,65115697,78397974,92434297,106739848,120992498,261114765,120992495,106739846,106739847,120992497,271776423,98861283,84934115,84934116,98861285,112849539,98861280,84934113,71357129,58619865,58619866,71357131,84934110,259316753,112849533,126701331,140048558,260350174,259102082,78251925,78251926,64978540,54869083,44068401,44068400,44373597,44373598,53003689,42618911,256153327,268151117,6134823,3838153,254207835,1334162,2299399,3838151,6134821,6285984,3936790,2356881,1364975,777610,441296,441299,777533,1364403,2354593,3933117,3848640,3848645,6150613,6130178,3836123,2298181,2287460,1327055,757542,430608,243057,134352,73027,73031,73403,39724,39719,73376,134930,244183,432364,254148927,1380268,2384549,3978984,6342112,6122442,3830575,3830576,254660397,13650544,9347339,6122436,6122435,254660393,13650549,19119100,25757640,255684645,13650551,9347340,254935805,19119102,268500997,19119096,254935803,6122434,9347337,13650543,255684641,257224565,257816670,64977622,53002737,268757273,33546398,42562793,53002734,64977626,78251070,258433500,78251065,258433498,78251057,78251056,259690219,120824665,116486536,258259896,257068234,61957834,257651002,58128149,258653951,270310938,74050894,61271353,61271352,74050893,87653928,101620717,259961114,142866174,155448401,167088123,174963939,164145136,152259173,139527480,126151957,112291683,260502031,139527477,152259170,164145132,174963935,184567988,263382776,164709245,262088217,137395767,271659727,95218496,81161742,257914315,44509380,35132617,27047054,20154508,14458297,14458298,20154510,27047058,257314621,44839137,44839138,55746899,68144736,81634828,85561911,71974573,59236781,47839542,37918366,29349828,22018093,268219475,11038580,7313031,7313032,11038582,15916638,22018101,29349835,37918372,47839550,48579534,38663412,30086166,22704316,16500564,16500563,22704313,30086160,22713007,22713008,30094603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15162565, s2 = 9186645, dlinesl.size( ) = 2 s1 = 15162565, s2 = 9186645, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15162565, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 14632541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14632541, s2 = 13891153, int(edited[s2]) = 0 s1 = 14632541, s2 = 13891153, d1 = 54, d2 = 74 Dl.O(d1) = 261199418 Dl.O(d2) = 235477187,236370698,235468930,235468929,234488856,233403117,233403118,234488857,266482883,235477184,274666106,232207869,230883993,229406529,227742715,225846203,223671715,265199516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14632541, s2 = 13891153, dlinesl.size( ) = 38 s1 = 11245344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6839667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6839667, s2 = 466805, int(edited[s2]) = 0 s1 = 6839667, s2 = 466805, d1 = 19, d2 = 24 Dl.O(d1) = 259074269 Dl.O(d2) = 11834856,16910869,16006609,11112530,11112529,10480842,6910212,6910211,6910175,6910174,10480783,254877590,268264652,46743814,58113490,257104137,40493643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6839667, s2 = 466805, dlinesl.size( ) = 2 s1 = 6839667, s2 = 466805, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6839667, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 8148474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2047864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2047864, s2 = 11544518, int(edited[s2]) = 0 s1 = 2047864, s2 = 11544518, d1 = 0, d2 = 13 Dl.O(d1) = 53256768 Dl.O(d2) = 259076863,106903198,121169901,134978559,148100679,160343799,171546350,181544966,264081695,209751490,214170748,214170747,217800233,218763648,221626335,265534831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2047864, s2 = 11544518, dlinesl.size( ) = 2 s1 = 2047864, s2 = 11544518, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2047864, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 16113149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16113149, s2 = 2733935, int(edited[s2]) = 0 s1 = 16113149, s2 = 2733935, d1 = 7, d2 = 21 Dl.O(d1) = 190191071,197791872,197791873,204268301,209672056,214105811,214105810,212273983 Dl.O(d2) = 72133500,59403069,59403068,48015926,38105687,29542407,22199109,16070039,11158622,11158624,9493120,6225852,3897559,3897556,6225842,9493101,13839792,19350952,26027816,33848509,42892993,53358629,257727534,78665991,92727491,106661699,98257763,84350303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16113149, s2 = 2733935, dlinesl.size( ) = 8 s1 = 2401721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2401721, s2 = 11166521, int(edited[s2]) = 0 s1 = 2401721, s2 = 11166521, d1 = 4, d2 = 0 Dl.O(d1) = 65370353 Dl.O(d2) = 42900332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2401721, s2 = 11166521, dlinesl.size( ) = 2 s1 = 2401721, s2 = 11166521, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2401721, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 2406837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1698652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1698652, s2 = 2739240, int(edited[s2]) = 0 s1 = 1698652, s2 = 2739240, d1 = 10, d2 = 1 Dl.O(d1) = 43064124,53543214 Dl.O(d2) = 78903261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1698652, s2 = 2739240, dlinesl.size( ) = 14 s1 = 11043892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2058140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13600647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2410483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2410605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2410605, s2 = 16035628, int(edited[s2]) = 0 s1 = 2410605, s2 = 16035628, d1 = 23, d2 = 29 Dl.O(d1) = 65780933,258472047 Dl.O(d2) = 11708619,16755107,254891518,30398016,38985819,48907723,60303363,73042328,84056209,70521240,57820301,46464255,36597857,28124502,20946863,20946865,255385980,12933280,18233633,18785652,13380075,9145587,5984857,5984859,7746998,7692554,7692551,11460957,7623302,7623303,7215237,4546046,2732831,2732834,4546053,7215250,7693618,4868744,2933841,254364175,7693611,11410513,7582395,7582394,11410511,11549329,7683836,4861846,2956210,2956212,4904691,7745061,11626910,11620640,7739091,7739090,11435453,11435452,11441225,7607960,4813065,2900597,2900600,2900592,2900593,4813056,7607949,4893397,2950650,2950651,2933925,2933926,4868888,7693796,7734253,4896586,4896587,4902155,4892847,2948594,1710016,1710017,2898726,1681889,956504,956505,1681890,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416193,15102100,14469971,14469972,16417627,11433554,7601740,254786079,255101099,7594012,7594013,11424211,11622362,7740720,4901339,267792345,973414,973413,254245391,267896519,254545159,2932496,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,1211840,1211837,1211728,683427,683426,1211727,2104362,3535408,4225179,254704035,14922204,20819638,27984130,36443425,46296748,57641293,47267260,43261457,37357280,37357279,28817680,21548578,15530464,10741044,7096661,7096660,10741042,15530460,21548570,28817672,268923809,35244663,27147222,20237629,20237628,24538525,18105028,12837649,8729761,5683318,5683319,8729765,10260819,10260999,254480209,4225164,6742768,5683341,5683340,8729793,12837698,18105094,24538616,32115972,40889734,51027096,58658974,47267264,37357291,37357289,28817657,28817656,28817663,28817662,28817678,37357319,47267285,58658979,47267271,37357303,37357305,47267273,58658982,71393892,67819873,55478064,55478063,46295365,36442395,36442394,43973878,46295357,57639589,70329790,77413867,77413866,71026046,58310385,269293347,46295350,57639583,70329782,75595516,62653182,51027091,40889729,32115967,32115966,40889725,51027090,57639587,57639586,61839867,61839868,61839883,50355684,40328517,37064784,28563156,268205808,15362857,21336434,28563154,37064778,46943897,58310382,71026043,84590375,77596360,77413870,77413871,88262473,97713787,97713788,97713785,97713784,84590377,84590379,98515554,104464664,90317216,90317217,97713781,259797176,85606096,72017387,59280353,59280354,61839878,50355676,40328513,31638836,31638835,40328509,50355674,258042000,40328519,31638847,268261617,17768052,256037427,24131565,24131563,31638867,40328557,40328571,269409467,64427576,64427572,61839860,61839859,74632096,88262476,102260627,102260637,102260647,88262496,74632130,74632131,271588916,85606098,72017398,59280374,59280375,72017394,269334717,37965174,37965175,47267280,47267279,52408617,52652723,61839865,50355758,40328583,31638891,24131592,17768069,17768067,24131586,31638843,256037431,17768065,17768066,24131581,31638884,40328574,40328560,40328562,40328581,40328550,40328552,50355743,50355721,50355720,61839902,61839905,74632114,77596359,77596358,259661777,88262470,74632090,61839853,50355660,40328492,31638821,31638822,40328494,50355662,50355780,40328599,40328598,50355775,61839952,72017411,59280364,47883815,37965179,37965180,38661780,30084568,30084567,38661777,48577728,59969422,57664627,46795684,46795685,50355756,61839939,74632110,61839890,50355696,40328524,40328521,50355690,61839887,50355713,256543967,31638854,40328531,50355707,61839895,72706526,59969426,59969427,72706529,72017382,72017381,61839850,50355655,40328489,40328488,40328606,40328604,50355782,61839955,72706514,72706513,72706568,258786577,72706578,72706478,59969386,59969385,61839953,59969413,48577719,38661769,255931117,16499117,11495914,11495913,16499112,22702734,30084558,38661756,48577696,59969381,72706460,59969457,59969456,72706558,72706469,72706468,72706455,72706456,86303513,100265632,88262485,74632118,61839897,61839898,71450251,61537146,61537147,72706577,59969470,59969469,72706574,86303599,86851599,73238815,73238816,72706523,72706522,72706506,72706505,86303554,74313718,61536923,61536924,74313721,86303549,72706503,59969402,48577713,48577712,59969374,48577691,38661752,38661751,48577688,59969371,72706466,86303522,94466708,87917244,74313677,74313678,87917245,87917286,86303508,86303509,74313725,74313726,80272277,80272278,87917293,88262487,88262488,101891401,100265683,86303596,86303597,100265686,100265649,86303537,72706487,59969392,48577704,38661763,38661764,48577708,59969397,72706495,86303544,100265657,101007696,101007694,259322704,74313698,72706498,72706497,86303545,86303518,72706462,72706463,86303520,100265641,114295702,128178737,129837111,115937603,101891420,260122903,260067096,115937584,101891397,87917248,259507975,259934076,114295710,100265651,86303540,72706491,72706490,76979147,76979146,90857486,100265677,86303594,72706567,72706566,70354390,70354389,70354387,70354385,61536907,50058474,50058475,61536910,74313709,87917267,87917414,74313891,74313890,87917411,80272281,66842254,54582504,43837139,43837138,40039080,40039081,50058504,61536933,61536887,58622873,47229945,47229948,50058460,40039053,31359074,31359075,40039055,50058462,61536897,74313696,87917256,101891409,259934074,86303593,260028489,126667372,112810345,98819125,87917261,87917262,87917264,87917263,86851614,73238833,257234362,100832516,114882947,258443600,86851615,73238835,71359806,257022928,258210970,57664624,46320327,36467369,36467371,257386337,70354393,83879114,97737893,100832503,259314664,103451979,89356627,89356628,89356622,81752698,81752700,71317953,58584509,47193163,37284691,37284693,47193169,39159174,30561822,23144742,23144743,30561825,39159178,49088873,60492084,66842260,54582511,43837140,43837141,51383553,63072556,68227848,55800155,44870655,42315077,41192817,32374068,32374067,41192813,41192803,32374056,28008458,28008459,36467373,46320335,57664632,70354395,83879116,97737896,111658663,117582318,103451981,89356629,75595499,62653142,62653141,75595496,89356625,84891926,71317948,58584501,47193160,47193161,58584505,71317949,63072560,51383555,256331314,75595375,62653019,51026939,51026940,62653023,51026953,51026954,51026961,40889596,40889595,51026957,52702310,42315075,42315074,51383548,41192808,32374061,255624669,18280018,24755267,32374059,32374049,32374050,40889586,51026947,62653033,75595381,89356505,89356633,75595501,62653147,51027051,51027052,59287572,59287573,51027077,51027078,62653170,68127018,68127017,257995086,51383559,51383560,62653094,62653026,51026941,40889576,40889577,44820904,40889592,32115854,24538498,24538499,32115859,40889601,51026964,51026944,51026943,41192822,32374072,24755274,18280023,12974344,8831562,8831561,12974339,18280016,24755264,32374054,41192801,51383542,63072549,269293338,255782866,268062030,18105083,18105084,24538595,32115955,40889695,40889694,51027056,44820907,40889652,32115895,32115896,40889654,51027014,46295223,36442248,27983185,27983186,36442250,32318683,32318684,269040589,51316016,258341385,84425133,84425132,98334691,112317524,259886026,71818968,59077730,47677640,37755505,29194260,25345657,18764729,18764728,25345661,28524885,28524884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2410605, s2 = 16035628, dlinesl.size( ) = 18 s1 = 15917617, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6628983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6628983, s2 = 10519776, int(edited[s2]) = 0 s1 = 6628983, s2 = 10519776, d1 = 92, d2 = 98 Dl.O(d1) = 256704511 Dl.O(d2) = 267150023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6628983, s2 = 10519776, dlinesl.size( ) = 36 s1 = 16019367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8165001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6688314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842331, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14063358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8179464, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1587242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1587242, s2 = 11140650, int(edited[s2]) = 0 s1 = 1587242, s2 = 11140650, d1 = 15, d2 = 9 Dl.O(d1) = 40094066,31414292,23924721,23924722,26422562,19685572,19685573,26422564,256115616 Dl.O(d2) = 255602889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1587242, s2 = 11140650, dlinesl.size( ) = 2 s1 = 1587242, s2 = 11140650, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1587242, Dl.E( ) = 26, 3.5e-05 seconds used appending s1 = 8165349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 772035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15903737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15903737, s2 = 8433935, int(edited[s2]) = 0 s1 = 15903737, s2 = 8433935, d1 = 1, d2 = 1 Dl.O(d1) = 137360337,137360338,150401639,162532030,173564847,183361214,191925226,199292387,205525617,263398572,190117185,181302516,262036892,160029873,147766291,134635792,120838672,106590281,92291975,257250012,53016263,42576124,33559447,25770078,19130104,13659132,9353409,6126544,6126543,6139531,6139533,9372602,9511102,9426157,9426160,9338771,9338768,6279904,6279908,6176571,6176572,9426394,13659112,13756796,9426750,6176836,6176837,7141008,7141010,9473872,6211967,3888175,3888176,6211970,9473873,6211982,6211981,9473909,10044072,6600551,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862899,254179838,17279904,14117305,9712627,9712626,14117304,19689630,26427114,34304782,43406095,53932979,66003410,79371509,93508332,107945880,260960579,149622898,161920309,173072135,182956635,191590042,199010614,205285728,210479267,214722610,218214695,265324293,223659277,225835221,227732862,229397704,230876104,232200539,274654283,235470160,236371902,237196214,237947281,238630742,266939753,241311274,241733272,242123599,267146399,243134678,243428196,243701527,243954301,244189236,267338093,244799450,244893036,245066085,245228212,245380114,245523110,245657316,245782198,245899329,246009559 Dl.O(d2) = 137360337,137360338,150401639,162532030,173564847,183361214,191925226,199292387,205525617,263398572,190117185,181302516,262036892,160029873,147766291,134635792,120838672,106590281,92291975,257250012,53016263,42576124,33559447,25770078,19130104,13659132,9353409,6126544,6126543,6139531,6139533,9372602,9511102,9426157,9426160,9338771,9338768,6279904,6279908,6176571,6176572,9426394,13659112,13756796,9426750,6176836,6176837,7141008,7141010,9473872,6211967,3888175,3888176,6211970,9473873,6211982,6211981,9473909,10044072,6600551,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862899,254179838,17279904,14117305,9712627,9712626,14117304,19689630,26427114,34304782,43406095,53932979,66003410,79371509,93508332,107945880,260960579,149622898,161920309,173072135,182956635,191590042,199010614,205285728,210479267,214722610,218214695,265324293,223659277,225835221,227732862,229397704,230876104,232200539,274654283,235470160,236371902,237196214,237947281,238630742,266939753,241311274,241733272,242123599,267146399,243134678,243428196,243701527,243954301,244189236,267338093,244799450,244893036,245066085,245228212,245380114,245523110,245657316,245782198,245899329,246009559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15903737, s2 = 8433935, dlinesl.size( ) = 2 s1 = 15903737, s2 = 8433935, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15903737, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9675890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8112710, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2417816, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6795164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 159019, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8434811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8434811, s2 = 13217255, int(edited[s2]) = 0 s1 = 8434811, s2 = 13217255, d1 = 27, d2 = 9 Dl.O(d1) = 122954815,108689395,94402155,94402156,108689397,122954819,122881749,259956762 Dl.O(d2) = 28610285,23344057,17077854,17077851,17077988,19775983,14164925,9738295,6403764,6403765,9738301,14164942,16787585,23030188,28720863,21464648,15463821,10692529,7063976,7063978,255037155,255108856,24374107,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,19812728,22599234,22599233,29963814,26151451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8434811, s2 = 13217255, dlinesl.size( ) = 14 s1 = 7843199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16011093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15162641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13579971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1068775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1068775, s2 = 8459638, int(edited[s2]) = 0 s1 = 1068775, s2 = 8459638, d1 = 11, d2 = 0 Dl.O(d1) = 27231393,27231394,27231395,34634208,256724567,257886523,260378301,262068687,136767973,136767972,149908622,273576254,129756799 Dl.O(d2) = 115857788,263111796,1940785,1108626,1108627,1563447,1563446,2698832,1636919,930787,930786,1636914,2821551,4683045,7411411,11171231,255456731,29562246,256536163,24025745,24025744,31527907,40213690,50233963,61713299,74494888,86927462,73317937,60575223,49176419,49176418,49176420,60575225,73317940,86927465,88331523,74703816,61910369,50935006,40815586,40815585,46439067,36574038,28102470,28102471,22733753,16527936,15705084,15705083,21760288,29054849,37602995,47506796,55256428,44409028,35034518,26954506,20070160,255089069,7474900,6498546,6498547,9889876,6498928,4072272,2436716,1409054,801623,801624,1409056,2436722,2434939,1408142,801168,801170,1408144,2434907,2434917,1666924,948171,948172,1666933,2436879,2436877,4072504,4072525,2436967,2436968,4072660,254687939,14385604,255741467,14385248,254971557,9874346,14368183,20053805,14371566,9890376,7145646,4499491,4499492,7145648,10813059,9901177,254970848,1410717,1410716,2439977,4078027,6492851,6492660,4068232,2434351,2434347,1408234,801221,454035,255915,255913,454028,801243,1408277,2431203,2434141,2434139,4067878,6492107,9881449,9889629,9884607,9884608,14378605,255740817,16585157,14365484,14365485,14385645,11569757,11569756,14386521,11569758,9889751,6498442,6498441,7200267,10888418,9873704,6486312,6486311,7200239,9890555,9890556,9898514,12806701,8707851,5668932,5668930,4077245,4077246,5359721,8306933,6504607,6504608,9883856,6493986,6493985,6507804,6499751,6487375,6487374,4073010,4073009,4070495,4070494,6485389,6485390,9872170,7797313,7797314,11691238,16733964,21779457,17451671,12302310,8309230,8309231,12302312,12302377,8309292,8309291,9891224,6499599,4072717,2437003,2437004,4072722,6499611,9866453,8297798,8297797,9887285,6505366,4076506,4076507,6505370,9898338,10895190,15731619,21789638,26954453,23185983,16919997,11841571,11841572,16919999,21777250,15718026,15718027,21777252,22806044,16588520,12302190,12302191,14367467,14374790,10811488,9889548,9889549,14383921,20067758,23781832,20067188,20067189,26951728,21778573,21777242,15718000,10881078,254510541,254510543,255053563,14386499,9892008,9892011,14386501,20070163,255948236,20061132,17585387,17585388,23781835,17451684,12302326,8309247,5361493,3295938,1938500,1107283,621356,621359,1107291,1938518,3295973,5361567,8309291,9891224,6499599,4072717,2437003,2437004,4072722,6499611,9866453,8297798,8297797,9887285,7195976,7195977,10883246,10798903,10798901,15608843,267966541,4498321,2703011,1566324,890683,890681,1566322,2703006,4498311,7143895,268074973,254971309,9871901,9880619,11590601,14374634,10799016,10799015,255047599,4500282,4500283,7146831,6535258,6535256,9871569,6484912,6481703,6481706,4883370,2942595,2942598,2449635,2449640,4094590,6535027,7832426,4971790,4971788,3003006,1743990,1743988,3003026,4971866,7832533,9876873,14370911,14375793,9897574,6504702,6484173,4063152,4063153,6484180,9870612,14364014,14371941,14371940,14387562,9893270,9893272,10889659,9870535,9870534,7199005,6506314,6506313,9870512,14363915,9871645,9871644,6500461,4073281,2437294,1409320,1409321,2437299,4073292,6500507,4536523,2726864,1579927,898166,506693,284139,284142,506700,898178,1579949,2726902,4536587,254819808,21784287,25302036,25302466,18727616,13331902,9109242,9109243,13331905,18727622,25302478,33028712,37376328,47285870,49065931,39135588,30536662,23117833,23117834,30536665,33028665,33028664,39135501,38702892,38702891,38928094,48848224,60008229,72743160,72743159,72742687,60266691,48874249,257556816,60007417,60006120,48615483,38699894,30122670,30122671,38699900,48615494,49288426,39361377,39361376,30760791,30760790,30760817,257025561,256432677,22739300,22739299,30121665,22740224,16532598,11522317,7664714,4849502,4849366,2922131,1695021,963862,963865,1695034,2922158,2922305,2922302,4849618,2923185,2923188,4850895,4850843,2923138,2923137,2923146,2923149,4850860,4851079,4849731,2922378,2922380,4849738,7664992,7667507,4851623,4851621,7667042,11525107,11524847,11524846,11524297,254543415,2922974,2922973,4850619,254362933,1695839,964311,543396,254125993,304517,304518,543384,964285,1695164,1695165,1695819,964296,964295,1695815,2923046,1695600,964168,543319,543321,964170,1695606,2923057,4850686,7666361,7666363,4850692,4850690,4850554,4850553,4851390,4850595,2922955,2922945,2922944,2922901,1695506,1695487,964111,964112,1695495,2922886,2922765,2922766,4850288,2922723,2922724,4850177,2922660,1695327,267791787,4850171,7665712,11523685,16534214,22742061,30120754,38697647,38697646,38697830,38701582,30124739,30120951,22738732,22738734,30120666,30120665,256976091,30125831,256432627,22738696,22738697,28987933,21704353,21704351,28987926,30127061,30127063,38703768,42142179,257197829,256957412,42142195,47281113,52500711,42172094,42172074,42172076,47281130,37371827,37371826,42172106,42172104,52530057,50254855,40235494,40235493,50254850,42172191,42172192,47281066,37371787,37371785,42172172,33212543,33212544,25464912,24045884,17693328,17693327,24045876,31549555,40235308,31549388,28232005,21034887,21034886,21034905,28232028,36725748,36725769,36725768,38004055,29441130,22107747,22107748,28281453,33182603,25437567,18841510,13423908,9178031,6007122,6007125,9178045,11180435,16097121,255895947,38145993,48058971,59450286,72188264,85782373,260590583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1068775, s2 = 8459638, dlinesl.size( ) = 2 s1 = 1068775, s2 = 8459638, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 1068775, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 6630461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6630461, s2 = 9147554, int(edited[s2]) = 0 s1 = 6630461, s2 = 9147554, d1 = 25, d2 = 13 Dl.O(d1) = 256726713,54680025,66936370,80361937,94415680,259542889,74807411,258295205,50518524,40482869,31787868,255594581,12675309,8607942,5593751,5593750,8607940,12675307,17894543,24274580,31787872,40482874,40482875,50518530,62010588,258295203,62010577,50518520,40482863,40482864,50518522,257686193,40482876,257102943,62010588,258295203,62010577,50518520,40482863,40482864,50518522,257686193,40482876,31787874,24274581,17894546 Dl.O(d2) = 84048832,70513513,57812083,57812084,70513514,84048842,95134127,109388731,123580693,137311972,137311969,123580691,109388730,260006704,44417963,256216733,26963413,26963960,26963959,26963760,20079428,14397474,9903172,6509079,4078956,2440604,1411117,1411116,2440602,4078953,6509072,9903156,14397456,9903168,9903167,9903057,9903056,14397324,20080304,26964802,35045155,44419535,44419290,44419289,254221656,23409032,23409031,254221654,12472852,8442252,8442251,12453640,12453636,17631716,23978634,31474906,36953077,36953076,28890704,21614583,21614581,28890696,37432395,40151309,31467472,23971769,17623049,17623050,23971772,267772438,23981640,23981641,31478442,29530992,22188354,16060950,11152011,7396840,7396839,11152008,16060940,22188339,29530969,38094820,40031121,40031123,40159681,39341298,30742234,23321413,23321311,23321312,30742100,23977403,23977404,21916034,17978846,17978849,15832885,15832881,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465116,17640705,23986461,31483356,38352642,29780047,29780050,30838102,30838103,39441750,30837975,30837976,267880268,254221656,23409032,23409031,254221654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6630461, s2 = 9147554, dlinesl.size( ) = 2 s1 = 6630461, s2 = 9147554, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6630461, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 8166697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11168728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6724999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6724999, s2 = 11534680, int(edited[s2]) = 0 s1 = 6724999, s2 = 11534680, d1 = 15, d2 = 32 Dl.O(d1) = 257747996 Dl.O(d2) = 266269576,230312405,230312402,230312403,231703844,231678333,230286812,265754981,224902046,222552317,222552318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6724999, s2 = 11534680, dlinesl.size( ) = 18 s1 = 7628373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2078898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8167459, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8067627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8067627, s2 = 2076500, int(edited[s2]) = 0 s1 = 8067627, s2 = 2076500, d1 = 53, d2 = 3 Dl.O(d1) = 28672606,256739861,26942033,256214609,44398245,258029070,35022859,26942028,26942029,35022861,44398240,55246261,67587959,257587172,73209762,86822420,269366054,98126805,269837804,139271096,151977998,163846883,174664841,184288320,186395462,260659104,128753013,114854963,258195184,142109746,151977995,151977996,273089691,166453707,177037562,260659102,271363246,177037564,261780904,261234346,166453705,259442604,142109747,154745616,260659100,262292316,177030340,177030339,186390005,262767114,263199374,262292312,186395456,186395457,262292314,201539832,194552416,186395453,177037559,262292310,194552408,194552409,201539823 Dl.O(d2) = 54868512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8067627, s2 = 2076500, dlinesl.size( ) = 2 s1 = 8067627, s2 = 2076500, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 8067627, Dl.E( ) = 56, 1.91e-05 seconds used appending s1 = 2080752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2080752, s2 = 15562346, int(edited[s2]) = 0 s1 = 2080752, s2 = 15562346, d1 = 11, d2 = 2 Dl.O(d1) = 55247541,67589277,81056778,95114163,109368121,123559352,137291259,150332753,162467644,173506977,183308825,263797313,199250001,205487439,210382347,264515906,198854383 Dl.O(d2) = 172859021,161701450,161701449,161701452,149410724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2080752, s2 = 15562346, dlinesl.size( ) = 2 s1 = 2080752, s2 = 15562346, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2080752, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 2081491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098424, s2 = 1376383, int(edited[s2]) = 0 s1 = 11098424, s2 = 1376383, d1 = 8, d2 = 10 Dl.O(d1) = 259633464 Dl.O(d2) = 35051719,26970405,20084677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098424, s2 = 1376383, dlinesl.size( ) = 14 s1 = 16185612, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15472493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6738722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6738722, s2 = 14918165, int(edited[s2]) = 0 s1 = 6738722, s2 = 14918165, d1 = 9, d2 = 13 Dl.O(d1) = 257908829 Dl.O(d2) = 44451187,35076271,35076272,44451188,55295782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6738722, s2 = 14918165, dlinesl.size( ) = 2 s1 = 6738722, s2 = 14918165, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 6738722, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 15579019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15579019, s2 = 6750809, int(edited[s2]) = 0 s1 = 15579019, s2 = 6750809, d1 = 0, d2 = 0 Dl.O(d1) = 199290321,263434799,173562400,162529496,150399147,137357889,123625684,109432208,95176063,81117637,67651084,55311690,44465794,35089419,27003739,20113256,20113255,27003737,20113258,20113257,27003740,35089420,44465797,55311693,67651086,81117638,95176065,109432209,123625686,137357890,150399149,162529498,164670545,152834140,140139593,126789001,112934375,98945003,98945004,99778613,85824852,258071848,38195715,48107280,59495838,72231858,85824850,258985692,269959112,140577171,127231178,113373141,99372592,85431259,71845660,59107014,47708882,37787850,29225926,21909999,21910000,25211211,18646452,15828245,10968850,10968849,15828241,21909966,29225897,37787836,255632650,47708880,258721235,72212429,59474913,48084765,48084766,40334201 Dl.O(d2) = 199290321,263434799,173562400,162529496,150399147,137357889,123625684,109432208,95176063,81117637,67651084,55311690,44465794,35089419,27003739,20113256,20113255,27003737,20113258,20113257,27003740,35089420,44465797,55311693,67651086,81117638,95176065,109432209,123625686,137357890,150399149,162529498,164670545,152834140,140139593,126789001,112934375,98945003,98945004,99778613,85824852,258071848,38195715,48107280,59495838,72231858,85824850,258985692,269959112,140577171,127231178,113373141,99372592,85431259,71845660,59107014,47708882,37787850,29225926,21909999,21910000,25211211,18646452,15828245,10968850,10968849,15828241,21909966,29225897,37787836,255632650,47708880,258721235,72212429,59474913,48084765,48084766,40334201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15579019, s2 = 6750809, dlinesl.size( ) = 2 s1 = 15579019, s2 = 6750809, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15579019, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14976782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14976782, s2 = 13192662, int(edited[s2]) = 0 s1 = 14976782, s2 = 13192662, d1 = 22, d2 = 10 Dl.O(d1) = 64297847,52436738,42088066,42088067,52436739,64297848,77454147,91379141,105603957,119845133,133724126,146987133,159370895,150413135,137372421,123640407,109447101,259161341,67666132,55326221,270137451,44480141 Dl.O(d2) = 6470102,6470103,9850413,10030477,13438491,9768850,254083690,4053900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14976782, s2 = 13192662, dlinesl.size( ) = 2 s1 = 14976782, s2 = 13192662, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 14976782, Dl.E( ) = 24, 2.41e-05 seconds used appending s1 = 6632265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6632265, s2 = 14082851, int(edited[s2]) = 0 s1 = 6632265, s2 = 14082851, d1 = 52, d2 = 32 Dl.O(d1) = 256747307 Dl.O(d2) = 30477577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6632265, s2 = 14082851, dlinesl.size( ) = 38 s1 = 16020407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6822248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6822248, s2 = 14990112, int(edited[s2]) = 0 s1 = 6822248, s2 = 14990112, d1 = 45, d2 = 90 Dl.O(d1) = 258871256 Dl.O(d2) = 259720579,78844287,65512097,257249873,43010646,258460095,92950857,98791320,84863012,84863011,84863013,98791322,112783734,126641899,139997068,152694526,152694527,164535565,175302610,184857598,262820397,155854720,261299953,116072147,102017228,88034506,74424318,61642595,50158726,256530457,23960825,256024805,40135971,269401583,50158727,256530459,255572319,12431661,254597725,3332974,1960229,1960230,3332976,254597727,11766157,7855521,4985788,3011411,1749105,994572,559899,254127785,1749109,254248853,4985884,4648556,4648383,2800009,2800010,4648385,6996888,6996887,10604683,11096148,15350966,15983408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6822248, s2 = 14990112, dlinesl.size( ) = 10 s1 = 2086964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15163687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15163687, s2 = 6583605, int(edited[s2]) = 0 s1 = 15163687, s2 = 6583605, d1 = 9, d2 = 9 Dl.O(d1) = 265140172,263803410,183390270,173596462,162566695,261558550,123668202,259791478,81165730,67700019,55360096,44513511,256223825,20157743,20157744,21468875,22384439,29743657 Dl.O(d2) = 265140172,263803410,183390270,173596462,162566695,261558550,123668202,259791478,81165730,67700019,55360096,44513511,256223825,20157743,20157744,21468875,22384439,29743657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15163687, s2 = 6583605, dlinesl.size( ) = 2 s1 = 15163687, s2 = 6583605, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 15163687, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 8483537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9154701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15241123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15241123, s2 = 1966716, int(edited[s2]) = 0 s1 = 15241123, s2 = 1966716, d1 = 51, d2 = 56 Dl.O(d1) = 72819277,67721408,268266806,44535288,256055258 Dl.O(d2) = 74919073,74919075,270409914,62115111,50615655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15241123, s2 = 1966716, dlinesl.size( ) = 34 s1 = 6685099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2440463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2440463, s2 = 14504747, int(edited[s2]) = 0 s1 = 2440463, s2 = 14504747, d1 = 26, d2 = 0 Dl.O(d1) = 67757506,55417472,256679924,27103358,20203461,19601471,14045121,9657426,7213248,7213249,10053953,8795444,8795441,8943522,5838185,5838183,8943517,13121594,18469747,24993631,25915547,25915545,25915546,33722380,42751733,53200746,57834114,46478270,46478271,57834112,46478268,46478269,257111734 Dl.O(d2) = 838632,472705,472706,838634,1483040,839047,473055,265861,147198,147197,265859,147716,81212,81213,80865,80862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2440463, s2 = 14504747, dlinesl.size( ) = 2 s1 = 2440463, s2 = 14504747, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2440463, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 14072496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072496, s2 = 13204615, int(edited[s2]) = 0 s1 = 14072496, s2 = 13204615, d1 = 17, d2 = 27 Dl.O(d1) = 25113074,18563029,13191060,13191059 Dl.O(d2) = 4229783,2529007,1457440,254117579,465983,825171,1457444,2529010,3306955,3306956,2530600,2530599,3717982,2226373,2226374,3717987,4235650,4236245,4236248,6754701,4243908,4243909,6761961,4237625,2533650,1460035,826477,826479,1460042,1460144,826564,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129339,10350974,10350973,9059169,9059170,13274417,12658211,255202179,17188718,12086302,8127728,8127729,12086305,12090072,17182971,12081982,8124650,254830091,8131394,5209634,5209630,8131384,12091414,17195355,23477865,30495400,24336761,24336760,256560401,44515582,35138688,27052904,20159569,14462244,9949909,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232643,20165266,25445192,28011257,23996040,23996039,31493618,40178996,50202537,255050826,35140828,35140829,35139054,27053325,27053155,27053154,35138904,44515717,36600758,28127129,20949288,20949171,20949170,255749380,46467434,57824189,57824188,70526365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072496, s2 = 13204615, dlinesl.size( ) = 24 s1 = 15683297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6633314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6633314, s2 = 7163196, int(edited[s2]) = 0 s1 = 6633314, s2 = 7163196, d1 = 23, d2 = 2 Dl.O(d1) = 256757461,55476250,67818509,81285554,261002745,273361368,263442945,263442943,263442937,183463873,192018001,263429127,183286411,183286408,173678218,173678217,173678216,162656868,150537534,150537535,162656870,263037329,173480426,273055162,137262371,150302809,162438446,173480424,183286411,183286408,173678218,173678217,173678216,162656868,150537534,150537535,162656870,173678219,183286410,263442941,183286415,173480427,273055162,137262371,150302808,162438443,173480422,173678199 Dl.O(d2) = 150537526,263037323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6633314, s2 = 7163196, dlinesl.size( ) = 14 s1 = 2445300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2445300, s2 = 13160829, int(edited[s2]) = 0 s1 = 2445300, s2 = 13160829, d1 = 30, d2 = 36 Dl.O(d1) = 68058058 Dl.O(d2) = 1283438,254110586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2445300, s2 = 13160829, dlinesl.size( ) = 2 s1 = 2445300, s2 = 13160829, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2445300, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 2097281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2097281, s2 = 3259519, int(edited[s2]) = 0 s1 = 2097281, s2 = 3259519, d1 = 45, d2 = 8 Dl.O(d1) = 55687627,256377128 Dl.O(d2) = 102549621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2097281, s2 = 3259519, dlinesl.size( ) = 8 s1 = 2097574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2097574, s2 = 10182445, int(edited[s2]) = 0 s1 = 2097574, s2 = 10182445, d1 = 0, d2 = 3 Dl.O(d1) = 55690866 Dl.O(d2) = 256764271,27237025,20307178,14573293,14573294,20307180,27237030,35359751,44783506,44781768,35358627,27235779,20306045,14572415,10027495,10027494,10028046,10028045,14573281,14573571,20306133,14572481,10027546,6590252,4128771,4128770,6590251,6590697,6590692,10028316,14573711,20307585,20307584,27237424,23557072,23557071,31039182,257044701,49320209,60722524,73360334,61467782,61467781,258102844,61721439,258131682,31536222,40222452,40222453,40222454,50242589,59591199,48204963,38295748,29728917,22372187,16217253,16217252,22372185,29728914,38295756,40222459,31536231,31536232,40222461,48204949,48204948,59591190,269801722,42630142,53077652,65060037,65060040,61721424,61721423,74502771,73360337,60615584,49214893,39288203,39288202,49214891,60615582,72250323,59549481,48162858,48162857,255439316,67675246,65060036,59516137,48128774,48128775,59516139,59549500,48162880,38253657,38253656,48162878,59516146,48162874,38253654,29688398,22335781,22335780,29688397,27026915,22300742,22300743,29652547,22335787,22335786,29688409,38253663,44490119,256221825,20134392,20134393,27026851,35113288,29688432,22335801,16188194,16188193,22335792,29688416,38253668,48162895,59548366,50163621,50163622,55335876,55335875,44490162,35113341,35113342,38252359,38252358,48161588,59548353,258755483,59548360,59548361,48161601,48161600,44490138,44490139,55335898,59548363,67675222,55335889,44490131,44490133,38252372,29687112,22334680,16187326,11251965,11251939,11251940,16187289,22334634,22334689,22334688,29687079,22334697,16187336,11251975,7469285,7469284,11251973,16187261,11251919,7469249,7469250,11251921,16187263,22334601,22334676,255088305,11251963,7469294,4720285,2843878,1649803,938100,528660,528661,938101,1649805,2843882,4720293,7469306,11252005,16187376,16187433,22334832,29687156,24353696,24353694,256561887,254882473,5638221,254882471,17990303,24390210,31923105,40638923,50698046,261337841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2097574, s2 = 10182445, dlinesl.size( ) = 2 s1 = 2097574, s2 = 10182445, "passes" = passes Sat Dec 09 04:19:09 2017: s1 = 2097574, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 15228071, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6633987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15900743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15900743, s2 = 2539421, int(edited[s2]) = 0 s1 = 15900743, s2 = 2539421, d1 = 3, d2 = 23 Dl.O(d1) = 15657010,254744223,7164311,7510987,4747871,2861298,2861297,4747865,7510975,8301509,11311469,11311470,16268476,16268475,13486095,13486096,16268297,11311292,7510002,4747119,2860863,2860861,4747113,7509991,8978519,5861826,5861827,8978549,13171263,16269316,22217261,16085890,16085891,22217263,21287445,21287444,17811417,17811416,15926580,15655604,10836444,10836443,15655601,17311551,16268586,13486090,9226763,7133409,7133410,10796391,15605500,10796443,10796444,15605580,13170926,13170927,18536371,23565774,21638254,21638255,23766123,17438173,17438172,21637716,21637715,24297082,22026530,22026531,23597074,23627898,22026678,15925802,15925803,22026680,29357107,22437005,16269803,16269804,17311577,23170372,21697793,15657996 Dl.O(d2) = 32924965,32924966,41854679,47703866,47703863,38090165,34249312,34249310,43349333,44488521,255630906,62688927,65258722,65258720,53268990,42816013,33783461,25973173,25973172,33783456,28234725,28234726,36728811,46616601,57992548,58697568,47307436,37398136,28857293,28857294,37398139,47307442,49913739,47372857,37831073,37831072,47753414,40808894,40808895,49393417,39464998,39464999,49393420,60794057,57800529,57800530,53268959,53268958,47753400,37830952,32750188,25058465,18520161,18520159,25058461,32750182,41661022,43213569,53725464,58460790,58460789,47372862,47372861,42816009,42816008,37187408,37187407,47082726,47082768,58220627,47307450,47307449,39770533,31092362,31092363,27025004,27025005,35111353,37466735,28926473,28926474,37466737,47372854,258075251,259016416,40972465,32192590,32192591,40972466,49994607,49994608,47955473,47955472,59346723,258329704,75692951,62745420,62745421,75692952,75692672,62745050,62745051,75692674,71889653,256071736,68109354,55712673,256766083,27256294,20322815,20322816,256239373,44805947,55712680,62745905,62745904,74249981,61471758,49994308,49994309,58701114,47311128,37401703,37401704,42575954,53016107,49994302,49994301,58064975,59216810,57729462,57729463,70424320,57729409,57729410,70424324,64600559,52699870,51114620,46379213,46379212,47753447,59152017,62745891,51114580,40972423,40972424,51114582,62745895,74191392,85562969,71975627,59238016,59238017,71975609,68109360,68109359,71216759,76456456,71472752,59237990,52699869,52699868,64600556,72315521,68109341,55712655,44805933,35381343,35381344,44805934,37920392,37920390,46379316,46379265,46379264,36808693,36808692,46692344,47753451,37831001,29265231,21943495,21943496,29265234,37831006,47753459,58701000,51114586,51114585,62745899,70424343,70424342,70424329,70424330,71975635,59238030,47841013,47841012,59238025,71975612,59237978,57729419,46379157,36519889,36519890,37449096,47355775,58743202,52699879,52699880,269312120,47840952,47355790,37449107,28909579,21635063,21635062,28909573,22021493,15920253,15920254,22021498,29352817,36808688,46379173,46379172,257133010,29265228,29265229,37830998,47753446,47841040,37920456,29352866,29278457,21954246,15862984,15862985,21954251,29278465,37845595,29352867,29352868,256918475,59238050,71975639,59578412,48191967,48191965,59578410,70424335,57729440,46379183,37845534,37845533,47768212,46786670,36909054,30291235,30291237,38877130,48799464,60196305,66852361,61615042,59166847,47768265,39406448,39406447,32121547,24543496,24543495,32121544,33232284,33232283,42192373,36520029,28055208,22021479,15920249,11042570,11042569,15920246,19784793,19784794,26589675,25483582,25483583,33232213,38283394,36786575,36786574,32121548,29718722,22362564,22362562,29718719,38285318,41960986,41960985,44728200,255814078,255725035,254962117,9742389,14171283,19784703,256303126,35099343,33237492,25488244,18884702,18884704,19175916,19175917,25827796,31162098,27189410,22362477,16209204,11267710,11267711,11268116,11268115,16209838,22363253,27001956,27001979,20112043,18678756,13285963,9069150,9069149,13285953,14928893,20827335,15144356,10444816,10444821,15144367,15381399,10629366,10629370,15381410,21083795,21083793,25481370,18883248,13456614,9202352,6024824,6024823,9202346,9202308,6024804,6024807,9202317,13456549,16207768,22360519,16208496,16208495,22361558,29713955,22358240,16205988,16205987,22358237,23848179,17506090,12343999,12343998,17506086,23848174,31312844,23823922,17487077,12329689,12329690,17487079,21185174,21185175,20265558,14540190,10004032,6574225,6574221,10004021,14540205,20265582,23465556,30899119,25085476,18541119,13174326,13174325,18541115,25085471,19537273,19537274,26255684,34120810,28803817,21537214,15521972,15521973,19537284,13989227,13989226,19537280,26255693,34120818,35249557,27151234,27151233,23596519,17284313,12163506,8194536,5270296,5270297,5270255,3224806,3224808,5267482,5267480,4606658,4606657,4610990,3268087,1921319,1921316,3268084,3220561,1887340,1076820,254181365,1891489,1079391,606258,606254,267770921,3226223,5271767,3245445,1904929,1904928,3245443,4612751,254233375,916722,517227,517230,916732,1611313,2777524,2786280,1616299,1616297,2786274,4626185,7303263,7303262,11028870,7310674,4614187,2778454,2778455,4614189,7309075,5283520,5241945,3236515,3002488,1743722,990843,557296,311608,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4611458,4624123,2784667,1615218,1615219,2784669,3215814,5260472,5253350,3210158,1880157,1880156,3210157,5253274,8183672,11032727,11720924,7826633,4967806,4967807,5220023,3184301,1863564,1863565,3184307,5220032,3187258,3187257,5224715,8153807,12121764,17238328,23545867,31026767,39703930,37758013,29196539,21884252,15808032,15808033,21884251,29196537,37758009,47680214,59080225,71821307,85409787,72077390,59343458 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16048319, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2099376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2099376, s2 = 2154694, int(edited[s2]) = 0 s1 = 2099376, s2 = 2154694, d1 = 4, d2 = 49 Dl.O(d1) = 55726723 Dl.O(d2) = 58583998,71317484,258636796,57722065,258001805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6634120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6634120, s2 = 4384460, int(edited[s2]) = 0 s1 = 6634120, s2 = 4384460, d1 = 43, d2 = 82 Dl.O(d1) = 256767429 Dl.O(d2) = 266445188,265749506,216457554,265237987,212529984,207725863,207725864,212529986,216457445,265238009,216457559,212530067,207725924,201899327,201899326,207725921,212530063,216457554,219714878,219714712,217609214,217609215,220665475,222465070,219714373,219714374,219714907,216457570,216457571,219714911,222465525,222465501,219714888,219714887,222465498,224827397,226877899,265749675,217609904,264634815,273791251,180993317,170873523,170873343,170873342,159545717,147186709,147186708,159545715,170873541,180993355,189871556,197527506,204046696,209485718,208220131,202480957,202480960,204044231,204620738,204620740,209950106,213945748,209483201,204044257,204044258,264364135,263726513,170873539,273885236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6634120, s2 = 4384460, dlinesl.size( ) = 2 s1 = 6634120, s2 = 4384460, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6634120, Dl.E( ) = 90, 5.39e-05 seconds used appending s1 = 6556205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6556205, s2 = 7867200, int(edited[s2]) = 0 s1 = 6556205, s2 = 7867200, d1 = 10, d2 = 13 Dl.O(d1) = 255925996 Dl.O(d2) = 254540580,12789024,8694458,5658884,3519147,2093335,1204416,1204415,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,22780619,17839775,17839776,24209864,30169471,31717465,24209859,17839773,17839772,21707112,28991427,23038882,23038883,30446584,28092273,28092274,36562280,32472023,32472021,41317837,255103336,28991428,268093290,31111544,31111542,31063261,23579639,17267866,12147205,8176915,8176916,11174872,14213123,14212708,14212707,19839196,23579750,17267956,17049467,11960790,8006808,8006804,11960767,254784648,14277898,9811125,9811124,14277895,19661075,24217206,17846794,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,7911911,7911909,11838697,15400527,15400526,15400528,21383399,28620218,37132250,47019824,58391164,71108006,84671232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6556205, s2 = 7867200, dlinesl.size( ) = 14 s1 = 16037891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2451567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13968931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7629167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7629167, s2 = 11224474, int(edited[s2]) = 0 s1 = 7629167, s2 = 11224474, d1 = 20, d2 = 38 Dl.O(d1) = 269989974 Dl.O(d2) = 76914178,76914177,90789409,102428365,88426955,88426956,102428366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7629167, s2 = 11224474, dlinesl.size( ) = 2 s1 = 7629167, s2 = 11224474, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7629167, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 14258453, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1074062, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15989445, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14518793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14567629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11205700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7067183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7067183, s2 = 8438030, int(edited[s2]) = 0 s1 = 7067183, s2 = 8438030, d1 = 29, d2 = 40 Dl.O(d1) = 262123673,272858104 Dl.O(d2) = 100040597,100040598,86077645,72479688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7067183, s2 = 8438030, dlinesl.size( ) = 20 s1 = 2855640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2855640, s2 = 8281733, int(edited[s2]) = 0 s1 = 2855640, s2 = 8281733, d1 = 47, d2 = 57 Dl.O(d1) = 85535997,269349388,80366380,66940872,66940873,68132981,55735079,55735078,49888701,39866442,39866441,49888699,61369388,58542406,47154034,47154035,58542407,60066741,48670437,48670436,47810799,47810800,59209603,57711975,57711974 Dl.O(d2) = 81222382,81222383,95279773,260408111,109534457,109534458,109534452,109534451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2855640, s2 = 8281733, dlinesl.size( ) = 34 s1 = 6909697, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2459239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2459239, s2 = 13285478, int(edited[s2]) = 0 s1 = 2459239, s2 = 13285478, d1 = 0, d2 = 0 Dl.O(d1) = 210981709,205882191,199716421,192426842,183960207,272861696,151566946,138864590,125532257,271337920,97803879,83944565,70417685,57722729,46372462,36513641,28049405,20880946,14978707,10311038,6782089,4251390,2541598,2541596,4251387,3718930,3718929,2549795,2549794,4264807,4855390,7673362,11534054,16548187,18678532,24258959,18680028,13287129,9070204,5931098,3708566,2220925,2220922,1478244,1288290,735514,418183,418179,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472336,1472337,2556173,4226495,4226491,5379899,4293572,4254795,2543593,2543594,3467601,5586661,8597804,12662144,17878580,17202882,17202881,20891667,20878528,14976650,10309157,6780443,4250193,2540855,2540856,4250196,6780448,10309162,14930510,14948799,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979733,4994896,4994894,7868558,11784544,14945815,10279998,10279999,14945819,17874589,17875676,17875677,17182101,12659514,12659513,17876070,18716366,17876060,17876059,24253700,31765657,40460149,50496029,61987971,61987973,74784303 Dl.O(d2) = 210981709,205882191,199716421,192426842,183960207,272861696,151566946,138864590,125532257,271337920,97803879,83944565,70417685,57722729,46372462,36513641,28049405,20880946,14978707,10311038,6782089,4251390,2541598,2541596,4251387,3718930,3718929,2549795,2549794,4264807,4855390,7673362,11534054,16548187,18678532,24258959,18680028,13287129,9070204,5931098,3708566,2220925,2220922,1478244,1288290,735514,418183,418179,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1477562,2566088,2566244,2556168,1472336,1472337,2556173,4226495,4226491,5379899,4293572,4254795,2543593,2543594,3467601,5586661,8597804,12662144,17878580,17202882,17202881,20891667,20878528,14976650,10309157,6780443,4250193,2540855,2540856,4250196,6780448,10309162,14930510,14948799,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979733,4994896,4994894,7868558,11784544,14945815,10279998,10279999,14945819,17874589,17875676,17875677,17182101,12659514,12659513,17876070,18716366,17876060,17876059,24253700,31765657,40460149,50496029,61987971,61987973,74784303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2459239, s2 = 13285478, dlinesl.size( ) = 2 s1 = 2459239, s2 = 13285478, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2459239, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14929735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2460776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2112082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6834716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6834716, s2 = 6052374, int(edited[s2]) = 0 s1 = 6834716, s2 = 6052374, d1 = 39, d2 = 60 Dl.O(d1) = 259018630 Dl.O(d2) = 240576334,241052278,241493501,274903549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6834716, s2 = 6052374, dlinesl.size( ) = 22 s1 = 11138974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138974, s2 = 14090958, int(edited[s2]) = 0 s1 = 11138974, s2 = 14090958, d1 = 35, d2 = 54 Dl.O(d1) = 254213511,1401202,2420715,3469004,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783559,255001652,25303227,33029454,36462295,254756414,20964429,21579025,15555611,10759442,10759443,10759530,15029485,13929911,10263880,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,14977237,10309754,10309752,10378424,11339666,14933456,10270061,10270060,14933454,20831848,20339319,20339317,27275462,23652974,17335893,12210123,8241042,8241041,12210121,12208652,12208650,9067366,9067365,11509547,11509546,11509837,12208809,12208808,16134766,11208327,7436984,7436988,10246302,10396959,15074035,15244490,15051317,10377462,6838013,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6811495,4272241,4272238,6811470,10345918,256818465 Dl.O(d2) = 166840724,166840722,177388679,177388683,186705062,264265715,186705060,177388682,166840724,166840722,177388679,166840725,166840726,261255118,260081476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138974, s2 = 14090958, dlinesl.size( ) = 2 s1 = 11138974, s2 = 14090958, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11138974, Dl.E( ) = 58, 1.5e-05 seconds used appending s1 = 2462962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14242635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15638719, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1344023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1344023, s2 = 10187396, int(edited[s2]) = 0 s1 = 1344023, s2 = 10187396, d1 = 26, d2 = 43 Dl.O(d1) = 33760216,33760217,34695011,34695012,32983787,257180969 Dl.O(d2) = 260047234,143159554,155713505,143159557,129827844,115928051,101881897,101881896,115928050,128440520,141794244,153655728,165436419,154441662,154441663,166177470,176797433,176797436,166177472,166177473,176797432,166177468,154441660,141794242,128440518,128440517,128440519,260047238,143159559,129827846,129827847,141794246,128440522,114556296,100525486,100525487,259430514,129827836,115928046,101881900,87907688,74303862,61526199,255506290,40026887,50046751,61526196,73002236,60267228,60267229,50046754,50046752,50046753,61526201,74303864,86599649,86599650,73002239,60267233,256294490,38955355,48874933,270345527,259273348,112945833,98956795,258696857,71460085,85031932,85031934,85031935,98956801,112945840,98956803,85031936,71460092,58730347,47342452,37435095,37435096,47342453,58730349,58730343,47342449,37435094,37435093,47342448,269788365,77965856,64770963,52851149,42446849,33453718,25682150,19059066,17768613,12574329,8528273,5526715,3412993,3412994,5526716,8528276,9356533,13651385,19120150,19114011,13646525,255015534,6094717,6094718,6113807,6113810,8611985,12680135,9336548,9336551,13634819,16384867,13646433,9344486,9344489,6123604,6123603,8565501,5561745,3473845,3473846,5597346,8611975,12680110,13624285,13624287,10402218,10402217,15081031,10484557,10484558,13589864,13588677,9304435,6094867,3813308,3813305,6094863,9304427,13588660,13631026,16274326,13588285,13588286,13588014,9304013,9304012,11403913,16189265,16189263,22337062,24280782,17900224,12680121,12680122,255595231,24471610,268458509,24471617,28665564,25895039,19235158,13742534,9415597,6169057,6169058,9415599,254659978,25895046,29984844,38554205,42711889,33681972,31361475,23867305,17523168,17523167,23867303,31361472,25274977,25274976,32999627,41940839,46881302,37002615,28504853,28504852,37002612,34062398,29518026,22175929,16050821,11144866,7392188,7392187,255077561,22175915,28032626,20864796,16174507,11241957,11241956,16174501,22319461,29211032,268217357,10962406,7256356,7256355,7256359,10962412,15818498,11791753,7874078,5285461,5285462,8214949,12183882,10959392,10959391,10936236,10936235,15786145,15655741,10836556,7163313,4511627,4511628,7163316,10836563,15655752,21696159,16084681,11170657,11170656,16084678,16268501,16268500,15655693,15655692,21696097,256347183,47430388,57963472,57963473,46586887,36700150,28209162,255374693,10578806,10578805,8243417,5315186,3264531,1918705,1918706,3264534,5267922,3222658,1888916,1077895,1077893,615275,342060,187632,187631,342056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1344023, s2 = 10187396, dlinesl.size( ) = 32 s1 = 2118416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2467338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080612, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6677803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6677803, s2 = 4191256, int(edited[s2]) = 0 s1 = 6677803, s2 = 4191256, d1 = 36, d2 = 35 Dl.O(d1) = 257229746 Dl.O(d2) = 158418179,272044926,196704243,196704250,196704249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6677803, s2 = 4191256, dlinesl.size( ) = 46 s1 = 13959963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14135033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8378045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8378045, s2 = 8718694, int(edited[s2]) = 0 s1 = 8378045, s2 = 8718694, d1 = 38, d2 = 41 Dl.O(d1) = 72798289,70745550,58031262,58031207,46658571,46658573,58031214,70745479,70745168,70745170,76612117,63532212,63532213,72698304,59960383,59960386,71914907,59176980,59176982,59177025,59177031,59177034,71914993,85500134,99441788,86295811,86295812,100258599,114288944,128172464,260472078,72698415,72698414,73588451,73588452,87210690,101211663,115290179,107959846,105748648,91524975,77593941,77593939,91524971,260278261,258647541,58031184,58031183,60334979 Dl.O(d2) = 158633732,146259509,133025672,133025673,131418240,131418239,144640957,133025695,119190683,104995808,91323299,77404736,64254839,64254840,77404738,91323303,105540900,104995803,90818357,76942680,258376053,63835535,76942706,63835537,63835536,76942708,90818383,90818374,76942696,63835529,63835530,76942698,77404747,77404746,91323314,91323317,105540909,119190664,258703754,76942670,76942671,90818344,77404734,77404733,77404780,258079910,63835522,76942684,76942691,76942703,257469318,41709778,32793604,25094550,25094549,32793601,41709775,52020437,63835532,76942700,71547021,259329717,90818398,76942722,76942721,90818395,91323213,268620410,52399346,52399347,64254764,64254896,64254897,76942724,76942723,90818401,259329708,77404771,77404661,258271466,48794010,48794011,60190752,72930204,86269460,98441453,88425958,86528780,85710685,72125605,59394604,59394605,72125608,59929248,59929247,72669301,86269453,90678970,256027188,89358289,75597178,256875630,51029008,256334392,89358280,103453502,115207178,129138898,133753500,128151324,128151325,116503741,116503742,119774122,113031798,99043216,99043217,113031729,113031731,126884875,116102572,271864137,113881124,259865400,97731689,111652431,125454962,112981444,98991038,98991037,112981442,126835999,115207181,101129276,270360197,258841535,258915277,61980344,61980345,270404829,99043221,102408421,91323232,77783770,64600583,64600582,77783767,258549034,105919218,105919222,120131366,259177888,102036733,102036734,260537673,98871701,84945512,71369365,71369366,84945516,98871706,112859388,116107235,102049686,102049687,116107239,111652447,105540847,91323246,91323244,105540842,119774116,116503731,116503732,271667954,99862063,85906338,72312750,59578047,59578043,48191619,48191620,59578045,72312745,64600587,52699899,42312795,33332480,33332481,42312801,52699904,64600590,68012632,77783776,77783775,88052434,74440696,74440695,88052431,102036740,116093566,130002579,261843625,167500061,155901805,143357950,130024777,116429040,116429039,123886488,109741157,109741156,123886485,137573898,140233055,272538385,164753977,152923382,140233038,126884913,126884912,140233034,152923378,164753970,175505794,185044809,185044817,185044816,193374381,263038516,273387949,155881919,272903569,192030613,192030612,273831527,264365442,201588180,264257621,264217034,176124820,176124823,185589240,185589344,185589342,185589332,176124901,165443032,153662701,153662702,165443034,261718050,193848388,200928524,200928372,200928371,206901653,211835906,211835925,207462482,201586224,201586223,201588011,194607239,194607240,193848262,193848263,200928381,205612053,206901684,206901685,201587986,201587985,207463841,212307666,207462460,206901671,200928392,193848268,185589244,176124826,176124827,185589247,193848272,200928395,200928408,193848282,262711984,165442980,153662673,140996529,127648605,127648603,140996523,262711977,154824349,142188813,128831719,128831718,142188811,262298663,177106350,186456875,194607190,263004160,154824361,142188826,142188825,154824297,154824299,154824318,142188779,260593132,100880768,86900668,73290158,73290159,86900671,100880775,100880783,100880785,114932350,128831716,142188808,154824344,154824304,154824303,142188798,128831701,114932338,114932337,128831699,142188796,142188762,128831672,114932311,100880760,86900663,73290153,73290152,86900661,86900703,73290188,73290189,86900710,100880792,100880780,86900676,73290167,60546963,49147684,256877678,23201686,16932108,16932109,23201689,30623833,39221278,49147693,60546977,73290197,86900721,85813342,85813341,99767048,259375320,128823716,142178012,128823734,114926861,270872487 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6509065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15376321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9087831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9087831, s2 = 10352963, int(edited[s2]) = 0 s1 = 9087831, s2 = 10352963, d1 = 11, d2 = 18 Dl.O(d1) = 36871606,36871607,46750729,36871610,28375032,21157934,15202185,254492388,6913343,6913342,10485557,15202184,21157932,256840201 Dl.O(d2) = 70833847,70833848,258028614,259279926,261080249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9087831, s2 = 10352963, dlinesl.size( ) = 14 s1 = 14588271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14588271, s2 = 12081223, int(edited[s2]) = 0 s1 = 14588271, s2 = 12081223, d1 = 0, d2 = 0 Dl.O(d1) = 24958072,256094995,41509515,51784782,42811029,40137124,40137127,35170274,27081954,27081953,35170271,42105774,33151837,25411138,18819874,18819873,25411132,33151826,40137699,31456103,23961803,17612950,17612949,23961801,31456097,40137689,40126239,38940436,30354199,30354200,23962643,23962644,31457354,25968642,25968643,33778722,31450286,31450285,40124937,40139311,31457247,23962585,17613411,17613414,23962597,31457270,25411079,18819842,13407605,13407604,18819839,23953629,17607367,12428511,12428510,17607364,23953625,31445485,40125007,40125046,40125047,50146273,50146321,50146320,50146334,40125129,31445611,23953712,23953713,31445614,31447980,31447979,40127777,40125141,31445622,23953718,23953719,31445623,40125143,40125390,40125391,31446086,23954056,23954058,31445599,31445600,40125114,49206756,39280405,30683488,30683489,28113012,20936131,20936134,17608581,12429217,12429216,17608576,21393922,21393923,28633006,28633017,28633016,31446319,23954220,17607739,17607395,12428530,8400093,8400094,12428535,8400101,5420632,3332259,1959784,1959783,3332255,5420626,8400089,12428521,17607383,23953664,17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125216,40139970,50163380,61643815,257019172,23962413,17613309,12432249,8402323,8402322,12432247,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,628384,628385,1119846,1960294,3333092,5421976,8402297,12432214,17613251,23962335,31456862,40138808,50162155,270388681,74428121,74428122,88038444,102021567,102021568,116077177,129228997,271338790,116077172,102021561,102021560,88038446,74428127,74428126,88038413,257077874,102021538,116077151,129984608,127706587,113837758,99823299,85870558,85870557,85870588,85870589,258137726,85870599,256405966,48158220,48158221,59545021,72279120,257528382,256405960,48158214,48158213,59545010,59545014,72279093,255469654,255909248,85870533,72279094,72279095,85870518,72279084,72279083,85870516,99823257,113837720,127706511,141055761,153722086,153754525,153722038,141085861,127733089,113860287,99842744,85888115,72295387,72295385,85888107,85888147,72295408,59560940,48174230,38264594,29698618,22344798,16195514,11258042,11258041,16195508,22344783,29698600,38264575,48174197,59560889,72295333,85888035,99842598,113860100,127732883,127808600,127732732,113859961,99842483,85887935,72295261,72295256,85887947,99842516,113860008,127732782,116376834,102287403,99823255,99823257,113837720,127706511,141055759,153722080,165500499,259386006,127706569,127706568,113860334,113860333,127733119,260604244,127732895,113860109,113860107,127732893,141085652,127733082,127733083,141055727,153722053,153722052,165500466,176178734,176178735,166446488,154736703,154736702,165500527,153722125,141055804,141055805,260004162,127733103,113860294,113860295,127733104,141055826,127706561,127706562,141055830,141055886,141055808,127706548,113837738,99842647,85888048,72295344,72295277,59560849,59560848,72295273,85887959,99842532,260599817,261181496,153754288,153754287,165532747,165500565,259386014,127706578,113837754,99823288,85870550,72279110,72279111,85870554,99823293,99842453,113859933,127732695,141085435,139522748,126147183,112287044,271763927,139522746,152254561,260004174,113860060,99842565,85887981,85887983,99842569,113860062,127732757,127732693,127732695,141085435,139522748,126147183,112287044,259455564,58123470,46754871,46754872,258028969,61835961,74628217,84395588,84395587,271296441,126147184,139522750,152254566,164140649,174960207,184565266,192952906,200147798,206223240,211246820,215351389,215351388,218743081,221606454,224065654,226198528,228055576,229685446,265879856,232428031,265580774,228055580,226198530,224065660,221606456,218743082,264248986,211246822,206223242,262759854,262759852,262284688,164579638,152744319,140054210,126706791,112855000,98867063,84940182,258065987,47234126,47234127,58626856,258690315,71363516,84940178,98867058,112854991,98867067,84940187,84940188,86808725,259442779,114841431,114841413,100789646,86808717,86808716,84940186,269786411,47234130,37325374,28789130,28789132,37325375,47234134,58626860,257013270,255967716,255136878,255136876,52648039,64547274,77729493,257593858,258824938,100414794,86457752,72862122,257313602,100414795,114439311,114439315,128315930,141385921,260994442,154736652,142099147,142099146,142099143,142099142,154736649,142470490,260678637,101086447,87089937,87089933,87089934,101086440,115162902,129093584,118033110,259595887,76012508,63029751,63029752,270466899,270985661,258968991,103890622,118033096,261377575,157549526,169010595,179295350,174677655,163860277,151991639,139284699,125935752,125935755,139284706,151991651,163860293,174677683,184300096,184300098,192719031,196226693,188344763,179295424,169010646,157549555,145116265,145116268,157549544,169010626,179295398,188344718,188344752,196226675,202969837,263866120,184300080,174677671,262186566,262629125,184300108,184300290,176701390,262606436,194317986,199959101,192719332,184300320,174677840,174677706,163860309,151991666,139284715,139284683,125935754,125935755,139284704,262143599,273321295,192718993,199958681,206076102,263507432,192719243,196227066,188345064,188345065,196227068,199958834,192719102,192719103,199958836,199959001,192719239,262668590,261668702,151991694 Dl.O(d2) = 24958072,256094995,41509515,51784782,42811029,40137124,40137127,35170274,27081954,27081953,35170271,42105774,33151837,25411138,18819874,18819873,25411132,33151826,40137699,31456103,23961803,17612950,17612949,23961801,31456097,40137689,40126239,38940436,30354199,30354200,23962643,23962644,31457354,25968642,25968643,33778722,31450286,31450285,40124937,40139311,31457247,23962585,17613411,17613414,23962597,31457270,25411079,18819842,13407605,13407604,18819839,23953629,17607367,12428511,12428510,17607364,23953625,31445485,40125007,40125046,40125047,50146273,50146321,50146320,50146334,40125129,31445611,23953712,23953713,31445614,31447980,31447979,40127777,40125141,31445622,23953718,23953719,31445623,40125143,40125390,40125391,31446086,23954056,23954058,31445599,31445600,40125114,49206756,39280405,30683488,30683489,28113012,20936131,20936134,17608581,12429217,12429216,17608576,21393922,21393923,28633006,28633017,28633016,31446319,23954220,17607739,17607395,12428530,8400093,8400094,12428535,8400101,5420632,3332259,1959784,1959783,3332255,5420626,8400089,12428521,17607383,23953664,17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125216,40139970,50163380,61643815,257019172,23962413,17613309,12432249,8402323,8402322,12432247,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,628384,628385,1119846,1960294,3333092,5421976,8402297,12432214,17613251,23962335,31456862,40138808,50162155,270388681,74428121,74428122,88038444,102021567,102021568,116077177,129228997,271338790,116077172,102021561,102021560,88038446,74428127,74428126,88038413,257077874,102021538,116077151,129984608,127706587,113837758,99823299,85870558,85870557,85870588,85870589,258137726,85870599,256405966,48158220,48158221,59545021,72279120,257528382,256405960,48158214,48158213,59545010,59545014,72279093,255469654,255909248,85870533,72279094,72279095,85870518,72279084,72279083,85870516,99823257,113837720,127706511,141055761,153722086,153754525,153722038,141085861,127733089,113860287,99842744,85888115,72295387,72295385,85888107,85888147,72295408,59560940,48174230,38264594,29698618,22344798,16195514,11258042,11258041,16195508,22344783,29698600,38264575,48174197,59560889,72295333,85888035,99842598,113860100,127732883,127808600,127732732,113859961,99842483,85887935,72295261,72295256,85887947,99842516,113860008,127732782,116376834,102287403,99823255,99823257,113837720,127706511,141055759,153722080,165500499,259386006,127706569,127706568,113860334,113860333,127733119,260604244,127732895,113860109,113860107,127732893,141085652,127733082,127733083,141055727,153722053,153722052,165500466,176178734,176178735,166446488,154736703,154736702,165500527,153722125,141055804,141055805,260004162,127733103,113860294,113860295,127733104,141055826,127706561,127706562,141055830,141055886,141055808,127706548,113837738,99842647,85888048,72295344,72295277,59560849,59560848,72295273,85887959,99842532,260599817,261181496,153754288,153754287,165532747,165500565,259386014,127706578,113837754,99823288,85870550,72279110,72279111,85870554,99823293,99842453,113859933,127732695,141085435,139522748,126147183,112287044,271763927,139522746,152254561,260004174,113860060,99842565,85887981,85887983,99842569,113860062,127732757,127732693,127732695,141085435,139522748,126147183,112287044,259455564,58123470,46754871,46754872,258028969,61835961,74628217,84395588,84395587,271296441,126147184,139522750,152254566,164140649,174960207,184565266,192952906,200147798,206223240,211246820,215351389,215351388,218743081,221606454,224065654,226198528,228055576,229685446,265879856,232428031,265580774,228055580,226198530,224065660,221606456,218743082,264248986,211246822,206223242,262759854,262759852,262284688,164579638,152744319,140054210,126706791,112855000,98867063,84940182,258065987,47234126,47234127,58626856,258690315,71363516,84940178,98867058,112854991,98867067,84940187,84940188,86808725,259442779,114841431,114841413,100789646,86808717,86808716,84940186,269786411,47234130,37325374,28789130,28789132,37325375,47234134,58626860,257013270,255967716,255136878,255136876,52648039,64547274,77729493,257593858,258824938,100414794,86457752,72862122,257313602,100414795,114439311,114439315,128315930,141385921,260994442,154736652,142099147,142099146,142099143,142099142,154736649,142470490,260678637,101086447,87089937,87089933,87089934,101086440,115162902,129093584,118033110,259595887,76012508,63029751,63029752,270466899,270985661,258968991,103890622,118033096,261377575,157549526,169010595,179295350,174677655,163860277,151991639,139284699,125935752,125935755,139284706,151991651,163860293,174677683,184300096,184300098,192719031,196226693,188344763,179295424,169010646,157549555,145116265,145116268,157549544,169010626,179295398,188344718,188344752,196226675,202969837,263866120,184300080,174677671,262186566,262629125,184300108,184300290,176701390,262606436,194317986,199959101,192719332,184300320,174677840,174677706,163860309,151991666,139284715,139284683,125935754,125935755,139284704,262143599,273321295,192718993,199958681,206076102,263507432,192719243,196227066,188345064,188345065,196227068,199958834,192719102,192719103,199958836,199959001,192719239,262668590,261668702,151991694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14588271, s2 = 12081223, dlinesl.size( ) = 2 s1 = 14588271, s2 = 12081223, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14588271, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16305177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101544, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11301020, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6484598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6484598, s2 = 4040782, int(edited[s2]) = 0 s1 = 6484598, s2 = 4040782, d1 = 48, d2 = 68 Dl.O(d1) = 255072228,28434241,28434240,255883228 Dl.O(d2) = 191658130,263012479,173195375,173195371,173195372,183047481,191658124,191658126,263787167,191658127,183047490,183047488,191658135,183047491,173195378,162094825,149882397,136740710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6484598, s2 = 4040782, dlinesl.size( ) = 38 s1 = 7613260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2482198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14638403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6718337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2484875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2484875, s2 = 1715527, int(edited[s2]) = 0 s1 = 2484875, s2 = 1715527, d1 = 8, d2 = 3 Dl.O(d1) = 70947460 Dl.O(d2) = 43938000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2484875, s2 = 1715527, dlinesl.size( ) = 22 s1 = 2485217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2485217, s2 = 10985112, int(edited[s2]) = 0 s1 = 2485217, s2 = 10985112, d1 = 1, d2 = 7 Dl.O(d1) = 70952125 Dl.O(d2) = 28491741,21275140,21275139,28491739,21480434,15477311,15477312,21480436,21691467,28974014,24151292,21607273,21212421,21212418,21539782,28806758,28883171,28808515,21541148,15524856,10737082,7094113,7094111,10737248,10737176,10737177,15525036,10737188,10737190,15525060,21541481,28808961,37344821,37344820,47254234,58646564,67812266,55470632,44621343,254790194,55470633,44621343,254361750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2485217, s2 = 10985112, dlinesl.size( ) = 2 s1 = 2485217, s2 = 10985112, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2485217, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 15398185, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15978067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15978067, s2 = 7619297, int(edited[s2]) = 0 s1 = 15978067, s2 = 7619297, d1 = 5, d2 = 16 Dl.O(d1) = 14257311,9803357,6443442,4041182,2421178,2421176,4041266,6443705,9803960,14265816,19917266,19739727,19739726,255310503,4013435,2405206,2405207,4013437,6395670,6402777,4017183,4017186,6402803,9736617,14162201,19771891,26573497,256715303,26495268,26495269,34414077,34420915,26498795,26498794,34420913,43597842,54228137,65999058,53928666,53928668,65999060,79367371,65999442,65999443,79367746,67820952,66145043,54038812,43811252,43811255,54543371,43993340,43993344,54748107,54829950,61136713,49673766,39670575,39670574,49673734,39670602,31004586,31004587,39670609,47187826,58577886,60896017,63175711,73823684,66215781,66215785,70389534,57695669,46346615,46346616,57695435,57695438,70365261,66171023,66171025,66211527,54088996,54088999,66211540,66536002,54343939,43678349,43678347,54206094,60957790,73718987,79804694,80925784,67456644,55118710,44277755,44277752,43998195,34712443,26711433,26711435,34709753,34742570,34742573,43994648,34710529,34710533,30956806,23504529,17212851,17212854,17216539,17216544,23511678,23518414,23519028,17220740,12107298 Dl.O(d2) = 269140820,26320782,19594799,14039862,9653414,9653415,14039864,19594803,26320790,34192979,31621937,31621936,40310361,34192945,26320755,26320757,34192949,268406445,22442904,29809669,38381792,258142385,53815206,43290191,34192939,26320747,26320749,34192941,43290199,49194881,257026012,60595567,49194929,42079484,42079483,46876647,36998232,34192971,34192968,43290239,53815244,269636276,269191420,47561686,37655710,29106155,21807607,21807606,27079352,20182152,14480086,14480088,20182163,27079372,25104261,25104260,25771877,27082365,27082366,20184400,20184350,14481505,9963616,9963611,12561835,8517191,8517192,8517195,8517194,12561840,10905684,10905683,15746309,21807600,29106151,37655705,47561682,58944552,71666291,85231450,85119192,71548214,254898148,47433341,37525682,254199316,15659588,254092272,5893071,3680371,3618023,2160507,2160509,2160309,2160311,1282864,1282859,1282586,1282583,1284937,1284933,2214063,254144082,9047650,13260013,18648399,25213866,32930367,41861736,256090248,77160731,65329774,53332376,42871189,33829979,26011926,26011927,28496963,28496964,34581879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15978067, s2 = 7619297, dlinesl.size( ) = 2 s1 = 15978067, s2 = 7619297, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15978067, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14584641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8322386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8121561, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14897752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6641219, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3124715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9198104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9198104, s2 = 9142165, int(edited[s2]) = 0 s1 = 9198104, s2 = 9142165, d1 = 6, d2 = 6 Dl.O(d1) = 9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,27070224,29005018,33921969,29938560,22575582,22575583,18114987,18114990,22574998,19837515,14211403,9769732,6423541,4029893,2414899,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358824,11095917,15983229,11415691,11095835,7358791,4648444,2800034,2800033,4648437,7358778,11095815,15983060,16392156,11408658,7581003,7581002,11408654,16392145,22574807,27052142,20158926,14461819,11117398,11117400,11027911,11027909,12845153,12845156,13558767,9282843,9282842,13558765,18426644,13088635,13088634,255634119,24939635,32602502,41480532,51749969,63528133,258988089,104629985,260827967,145850673,158221366,169599140,262531732,169789869,158418106,146043425,132814422,270576666,90620957,76754690,63662150,51866585,41576316,32680681,254948830,13126313,13126314,18476497,20997646,22400581,25001053,18750304,13349112,9121514,5968607,3732653,3732655,5968618,9121544,13349057,18750197,24502146,24502148,18483513,13131557,8949723,5841594,3645345,3645346,5841599,8949674,13131479,18483376,24527527,18110945,13349037,9121479,5968590,3732648,3732643,5968573,9121450,13348978,18750076,18476145,18476142,25001976,22911112,22911108,18475534,13125755,8946440,8946437,13126409,13126411,18333293,24825654,28180242,28180241,36656443,46523837,57879612,70580732,84117189,97992220,111931933,125751922,260338098,163669210,174501566,174501564,174501563,184145481,263397988,177842351,167344830,262964996,143155222,129823039,115922449,260917278,87901045,87901044,74297234,61519521,50040330,40020678,31341262,23848298,17506186,17506187,19860231,14228804,9781530,9781529,14228802,17241673,23549603,26681072,21688087,15648952,15648948,21688077,28969916,26676982,19859457,18907365,13475792,13475793,14231944,19864555,26682873,19881206,19881205,19129271,19129270,25769082,23848303,256016611,40020689,50040340,61519529,74297245,87901052,101875425,115922458,129823049,143155238,262341453,177842365,179321907,169044335,157593897,145177419,260811102,103975110,103975109,89857446,76063891,63068994,63068995,76063893,260214649,131939890,145177417,261553116,127343387,260398478,99463676,85517817,71930350,62670164,62670163,51041866,40902668,32127111,32127110,40902666,51041861,62670162,75614500,89377670,95158907,271931059,126567179,112703055,98707444,84779486,71210838,58489403,256867586,47111633,256326811,15444290,10677706,7053013,4439653,4439654,7053015,10677701,7053014,7053015,267883379,2666372,2666371,4439651,7053012,268071969,21439512,28690105,37214801,28690100,21439506,21439507,28690102,268920299,58489385,58489380,47111616,47111615,58489377,71210804,84779433,84779442,98707411,271305221,84779441,259308825,112703033,98707403,84779432,84779431,98707401,95275366,95275365,109530442,271823462,87786093,77297364,64148265,52295986,52295985,64148262,61401426,61401427,74181501,61401520,60491502,49921710,39902062,31225256,31225257,39902063,39902102,39902101,31225298,23741957,17417425,12276123,12276125,17417428,23741961,31225302,256206626,36986238,28489378,23741948,23741946,31225288,39902103,49921754,61401547,269488887,41693849,39902105,39902106,49921756,59616647,269812567,52321719,41981293,41981294,52321721,64173503,63822274,52006186,41693891,41693892,41693850,41693851,41981283,33037885,268292761,13336584,255253187,256631611,25310637,25310636,256511861,23741928,23741927,31225260,39902070,49921720,49352309,39422660,30817400,23387880,23387879,30817397,39422653,49352303,60755264,73504327,73504315,60755243,49352279,39422637,39422636,49352277,60755242,73504314,75580067,62639680,51015482,40879385,32106762,24530436,24530434,32106758,256604408,38245105,48153921,59540227,60697340,73445242,255711264,79133730,65778920,53722160,43210246,43210244,53722153,65778908,65777550,65777362,53720725,53720726,65777545,53722146,53722145,65778902,77924655,255711242,53720600,57883902,46528075,46528076,57883905,67674345,257260088,57884058,57884057,64733685,57884059,46528222,46528220,257028054,84121929,73324756,70585236,70585235,257608700,257854324,57883975,57883973,57883912,46528083,46528084,57883913,59734099,59734098,268955280,57883994,67813069,70585131,84121888,81086041,67620349,55282444,44438311,35064176,256083842,55282441,55412624,257918469,67753171,257918495,257918497,55412921,55412618,44564993,256227725,20198335,14492860,9971904,6553762,4105687,4105686,6553760,9971900,14492853,9971947,6553789,254317593,1419634,807584,457611,257990,142971,78447,78448,142974,257995,457620,807595,1419651,2455866,4105756,254092444,3696038,2213066,1284406,1282132,733074,417203,417205,733146 Dl.O(d2) = 9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,4097141,2451068,2451072,3012054,3012052,4986738,7856927,7857043,7857046,9959942,6546037,4986529,3011966,1749488,994995,994996,1749582,3012143,4986925,4987442,4098151,2451606,2451609,4098166,6541226,9703852,14107273,19678392,15674953,10851591,9952333,6540928,4098014,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,22383978,20175169,20175171,27070224,29005018,33921969,29938560,22575582,22575583,18114987,18114990,22574998,19837515,14211403,9769732,6423541,4029893,2414899,2414900,4029900,6423565,9769778,14211479,17299732,12177721,11095903,7358821,7358824,11095917,15983229,11415691,11095835,7358791,4648444,2800034,2800033,4648437,7358778,11095815,15983060,16392156,11408658,7581003,7581002,11408654,16392145,22574807,27052142,20158926,14461819,11117398,11117400,11027911,11027909,12845153,12845156,13558767,9282843,9282842,13558765,18426644,13088635,13088634,255634119,24939635,32602502,41480532,51749969,63528133,258988089,104629985,260827967,145850673,158221366,169599140,262531732,169789869,158418106,146043425,132814422,270576666,90620957,76754690,63662150,51866585,41576316,32680681,254948830,13126313,13126314,18476497,20997646,22400581,25001053,18750304,13349112,9121514,5968607,3732653,3732655,5968618,9121544,13349057,18750197,24502146,24502148,18483513,13131557,8949723,5841594,3645345,3645346,5841599,8949674,13131479,18483376,24527527,18110945,13349037,9121479,5968590,3732648,3732643,5968573,9121450,13348978,18750076,18476145,18476142,25001976,22911112,22911108,18475534,13125755,8946440,8946437,13126409,13126411,18333293,24825654,28180242,28180241,36656443,46523837,57879612,70580732,84117189,97992220,111931933,125751922,260338098,163669210,174501566,174501564,174501563,184145481,263397988,177842351,167344830,262964996,143155222,129823039,115922449,260917278,87901045,87901044,74297234,61519521,50040330,40020678,31341262,23848298,17506186,17506187,19860231,14228804,9781530,9781529,14228802,17241673,23549603,26681072,21688087,15648952,15648948,21688077,28969916,26676982,19859457,18907365,13475792,13475793,14231944,19864555,26682873,19881206,19881205,19129271,19129270,25769082,23848303,256016611,40020689,50040340,61519529,74297245,87901052,101875425,115922458,129823049,143155238,262341453,177842365,179321907,169044335,157593897,145177419,260811102,103975110,103975109,89857446,76063891,63068994,63068995,76063893,260214649,131939890,145177417,261553116,127343387,260398478,99463676,85517817,71930350,62670164,62670163,51041866,40902668,32127111,32127110,40902666,51041861,62670162,75614500,89377670,95158907,271931059,126567179,112703055,98707444,84779486,71210838,58489403,256867586,47111633,256326811,15444290,10677706,7053013,4439653,4439654,7053015,10677701,7053014,7053015,267883379,2666372,2666371,4439651,7053012,268071969,21439512,28690105,37214801,28690100,21439506,21439507,28690102,268920299,58489385,58489380,47111616,47111615,58489377,71210804,84779433,84779442,98707411,271305221,84779441,259308825,112703033,98707403,84779432,84779431,98707401,95275366,95275365,109530442,271823462,87786093,77297364,64148265,52295986,52295985,64148262,61401426,61401427,74181501,61401520,60491502,49921710,39902062,31225256,31225257,39902063,39902102,39902101,31225298,23741957,17417425,12276123,12276125,17417428,23741961,31225302,256206626,36986238,28489378,23741948,23741946,31225288,39902103,49921754,61401547,269488887,41693849,39902105,39902106,49921756,59616647,269812567,52321719,41981293,41981294,52321721,64173503,63822274,52006186,41693891,41693892,41693850,41693851,41981283,33037885,268292761,13336584,255253187,256631611,25310637,25310636,256511861,23741928,23741927,31225260,39902070,49921720,49352309,39422660,30817400,23387880,23387879,30817397,39422653,49352303,60755264,73504327,73504315,60755243,49352279,39422637,39422636,49352277,60755242,73504314,75580067,62639680,51015482,40879385,32106762,24530436,24530434,32106758,256604408,38245105,48153921,59540227,60697340,73445242,255711264,79133730,65778920,53722160,43210246,43210244,53722153,65778908,65777550,65777362,53720725,53720726,65777545,53722146,53722145,65778902,77924655,255711242,53720600,57883902,46528075,46528076,57883905,67674345,257260088,57884058,57884057,64733685,57884059,46528222,46528220,257028054,84121929,73324756,70585236,70585235,257608700,257854324,57883975,57883973,57883912,46528083,46528084,57883913,59734099,59734098,268955280,57883994,67813069,70585131,84121888,81086041,67620349,55282444,44438311,35064176,256083842,55282441,55412624,257918469,67753171,257918495,257918497,55412921,55412618,44564993,256227725,20198335,14492860,9971904,6553762,4105687,4105686,6553760,9971900,14492853,9971947,6553789,254317593,1419634,807584,457611,257990,142971,78447,78448,142974,257995,457620,807595,1419651,2455866,4105756,254092444,3696038,2213066,1284406,1282132,733074,417203,417205,733146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9198104, s2 = 9142165, dlinesl.size( ) = 2 s1 = 9198104, s2 = 9142165, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9198104, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 16230164, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2498584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14049521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2499930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6642293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11109600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6741793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14896569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8123731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8123731, s2 = 2505653, int(edited[s2]) = 0 s1 = 8123731, s2 = 2505653, d1 = 0, d2 = 0 Dl.O(d1) = 6154098,9393730,13714585,13714587,19202386,25859629,33665969,33665970,268760839,42696852,257604934,47964018,38050885,38050884,38050887,29487335,22149113,22149114,29487336,35095824,27009409,20117774,268124447,12805207,15528858,10739980,7096036,7096037,10739982,15528860,21546215,28814544,37353430,47263013,58654905,71390012,84964790,98890364,112878171,112878172,126730505,140078574,152769167,164603584,175363434,184911831,263865279,200408154,206455436,211456939,215546229,218925943,221777479,224221932,226340163,265849441,231244146,232534612,233700343,266416925,236604296,237405092,238133509,238796589,239406152,239968795,239968796,240459285,240945162,241394973,241179918,240714141,240211397,274730588,237742474,236971823,236126633,235198761,234179790,234179789,235198759 Dl.O(d2) = 6154098,9393730,13714585,13714587,19202386,25859629,33665969,33665970,268760839,42696852,257604934,47964018,38050885,38050884,38050887,29487335,22149113,22149114,29487336,35095824,27009409,20117774,268124447,12805207,15528858,10739980,7096036,7096037,10739982,15528860,21546215,28814544,37353430,47263013,58654905,71390012,84964790,98890364,112878171,112878172,126730505,140078574,152769167,164603584,175363434,184911831,263865279,200408154,206455436,211456939,215546229,218925943,221777479,224221932,226340163,265849441,231244146,232534612,233700343,266416925,236604296,237405092,238133509,238796589,239406152,239968795,239968796,240459285,240945162,241394973,241179918,240714141,240211397,274730588,237742474,236971823,236126633,235198761,234179790,234179789,235198759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8123731, s2 = 2505653, dlinesl.size( ) = 2 s1 = 8123731, s2 = 2505653, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8123731, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6642906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6529776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6529776, s2 = 9497918, int(edited[s2]) = 0 s1 = 6529776, s2 = 9497918, d1 = 17, d2 = 4 Dl.O(d1) = 255622893,32340238,41155235,51340266,58671064,47279831,47279832,58671065 Dl.O(d2) = 86277780,258160825,59938609,71496331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6529776, s2 = 9497918, dlinesl.size( ) = 24 s1 = 8236687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11177112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6763360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6763360, s2 = 1805799, int(edited[s2]) = 0 s1 = 6763360, s2 = 1805799, d1 = 6, d2 = 9 Dl.O(d1) = 258188232 Dl.O(d2) = 47343530,37436270,28895454,28895453,37436267,41387242,32536742,32536741,30816079,268745036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6763360, s2 = 1805799, dlinesl.size( ) = 8 s1 = 15072187, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2512604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13222079, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6735154, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1507263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13292753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13292753, s2 = 6919207, int(edited[s2]) = 0 s1 = 13292753, s2 = 6919207, d1 = 16, d2 = 19 Dl.O(d1) = 36428573,27970013,20806961,20806962,20806829,20806828,27969875,36428468,39993958,46280565,46280564,38332175,29761601,22399697,18083800,12820579,8716646,5673981,5673978,8716637,12820569,13212077,18083740,24513645,32087191,33458493,33458495,31591093,31591092,28575576,21346768,15371446,10621341,10621342,15371449,21346773,28575584,33462429,28993977,28993978,256890439,58833136,71560409,85130806,85130807,259949743,126896091 Dl.O(d2) = 175512964,175512965,175512970,164762276,152932919,140243402,260550155,113015503,99027803,99027802,113015502,126867264,140213554,152903363,164734185,152903361,140213552,126867263,126867262,261675547,164734183,262674293,175487148,164734188,152903368,152903369,152903377,152903362,140213562,126867270,126867269,140213563,152903372,152903381,152903380,262674293,175487148,164734188,152932921,152903364,140213557,140213558,126867275,260348208,58803134,47415924,47415925,49416349,60816115,73562360,87180011,260086613,129183054,141225954,127866842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13292753, s2 = 6919207, dlinesl.size( ) = 2 s1 = 13292753, s2 = 6919207, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13292753, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 2695907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1329214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1329214, s2 = 232405, int(edited[s2]) = 0 s1 = 1329214, s2 = 232405, d1 = 9, d2 = 30 Dl.O(d1) = 33408959,25642187,255273065,9298250,6091080,6091082,9298255,13579781,19025240,25642101,19025176,13579745,13579747,19025178,25642103,25642118,256658907,52797659,58841520 Dl.O(d2) = 91788262,258805867,60214720,48818646,38897187,30311188,22911355,16678711,16678712,255949321,38897192,40051621,31370724,23875626,17531025,14458238,9947028,8354777,5392623,5392626,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,3529697,3529701,5674941,8711590,5670945,5670944,8711588,12812865,18073170,24500972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1329214, s2 = 232405, dlinesl.size( ) = 2 s1 = 1329214, s2 = 232405, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1329214, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 9130463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9130463, s2 = 8089441, int(edited[s2]) = 0 s1 = 9130463, s2 = 8089441, d1 = 0, d2 = 0 Dl.O(d1) = 4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715926,5942583,9085155,6770183,4243265,2537044,2537043,4243261,6770178,4257984,4257983,6771741,6771742,5588295,3466928,2229312,2229310,3723271,5953718,9068502,8594060,5583994,3464463,2229771,1458785,1458786,2531383,4233766,5946438,9089795,8596131,5585462,5584597,3464819,2054703,2054701,3464812,2538304,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,1599888,909577,909578,1599937,2760005,3175510,5204788,8124050,12081177,17181999,21513892,15503816,15503817,21513894,28775691,28775692,37309473,47215701,58604564,71336092,84908228,98834017,112824853,126681488,138913465,125579650,111770535,259874845,83983124,70455274,57760181,57760180,70455272,57760183,46409350,256278153,20906867,15001857,10332201,6800308,4264503,4264504,6800309,10332204,10342307,6823075,4280348,2559187,2559188,4280352,6823079,9081210,5939314,5939313,9081208,12325484,12325485,14987002,14977436,10309918,6781140,6781142,4258884,2546081,1466817,1466818,2546085,4258892,4275985,2556846,2556845,2546183,2546184,4259069,6771806,10287492,6762577,6762574,8124407,8503791,6780645,6780642,6822446,10358436,9080965,6841151,6841149,5941656,3715343,2224838,2224836,3715337,4852713,4852714,7669585,11529150,10319518,10319517,9081011,9081012,6789207,5932847,5932848,4257635,2545344,1466409,829712,829713,1466417,2545354,2226271,2226272,2545178,1473739,1473740,2556535,1472542,1472541,2556528,4275972,6816116,6779614,6779616,6816828,6816831,6770736,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,6757963,5924943,3704858,3704859,3716694,4243110,3724921,2230233,2230232,3712655,3712656,5937571,6838740,6788182,4255622,2544097,2544099,2385086,2385085,1474778,1474781,2560825,4283238,6825473,4281952,2560105,1474533,1474535,2560315,1474521,1474523,2560322,4282379,6826112,10268036,9081042,5939185,5939186,9081048,12095336,8134315,5211611,5211612,5927736,3706502,2219796,1287816,1287814,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332789,596603,596604,909434,1599658,2759470,4586724,5206785,3176647,3176646,5206782,8127217,12085535,17187621,23467656,30901666,39509396,49440559,58893808,47514109,37609345,29060171,29060170,37609344,29060176,21764658,21764657,29060173,29060179,29060178,37609355,47514122,58893827,71613573,85178025,270663522,72467399,85178026,86447921,72852855,60116104,60116105,72852857,60116110,48721409,48721408,39923022,257060175,61418679,74197224,87800503,101772626,109570334,95314048,81253583,67784285,55441103,55441102,67784282,81253579 Dl.O(d2) = 4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715926,5942583,9085155,6770183,4243265,2537044,2537043,4243261,6770178,4257984,4257983,6771741,6771742,5588295,3466928,2229312,2229310,3723271,5953718,9068502,8594060,5583994,3464463,2229771,1458785,1458786,2531383,4233766,5946438,9089795,8596131,5585462,5584597,3464819,2054703,2054701,3464812,2538304,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,1599888,909577,909578,1599937,2760005,3175510,5204788,8124050,12081177,17181999,21513892,15503816,15503817,21513894,28775691,28775692,37309473,47215701,58604564,71336092,84908228,98834017,112824853,126681488,138913465,125579650,111770535,259874845,83983124,70455274,57760181,57760180,70455272,57760183,46409350,256278153,20906867,15001857,10332201,6800308,4264503,4264504,6800309,10332204,10342307,6823075,4280348,2559187,2559188,4280352,6823079,9081210,5939314,5939313,9081208,12325484,12325485,14987002,14977436,10309918,6781140,6781142,4258884,2546081,1466817,1466818,2546085,4258892,4275985,2556846,2556845,2546183,2546184,4259069,6771806,10287492,6762577,6762574,8124407,8503791,6780645,6780642,6822446,10358436,9080965,6841151,6841149,5941656,3715343,2224838,2224836,3715337,4852713,4852714,7669585,11529150,10319518,10319517,9081011,9081012,6789207,5932847,5932848,4257635,2545344,1466409,829712,829713,1466417,2545354,2226271,2226272,2545178,1473739,1473740,2556535,1472542,1472541,2556528,4275972,6816116,6779614,6779616,6816828,6816831,6770736,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,6757963,5924943,3704858,3704859,3716694,4243110,3724921,2230233,2230232,3712655,3712656,5937571,6838740,6788182,4255622,2544097,2544099,2385086,2385085,1474778,1474781,2560825,4283238,6825473,4281952,2560105,1474533,1474535,2560315,1474521,1474523,2560322,4282379,6826112,10268036,9081042,5939185,5939186,9081048,12095336,8134315,5211611,5211612,5927736,3706502,2219796,1287816,1287814,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332789,596603,596604,909434,1599658,2759470,4586724,5206785,3176647,3176646,5206782,8127217,12085535,17187621,23467656,30901666,39509396,49440559,58893808,47514109,37609345,29060171,29060170,37609344,29060176,21764658,21764657,29060173,29060179,29060178,37609355,47514122,58893827,71613573,85178025,270663522,72467399,85178026,86447921,72852855,60116104,60116105,72852857,60116110,48721409,48721408,39923022,257060175,61418679,74197224,87800503,101772626,109570334,95314048,81253583,67784285,55441103,55441102,67784282,81253579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9130463, s2 = 8089441, dlinesl.size( ) = 2 s1 = 9130463, s2 = 8089441, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9130463, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10348635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10348635, s2 = 9269431, int(edited[s2]) = 0 s1 = 10348635, s2 = 9269431, d1 = 56, d2 = 68 Dl.O(d1) = 29943060,268392616,50034601 Dl.O(d2) = 207914959,212693624,212567010,207769414,201949604,195030674,195030675,186944413,177662753,177662752,186944411,195030677,195030681,195030682,195030673,186944419,186944418,260161070,177662758,167163123,167163122,177662757,186944421,195030678,186944415,177662758,167163123,167163122,177662757,186944420,195030673,186944419,186944418,259546646,167163119,258921540,186944408,186944419,186944418,260161070,177662758,167163123,155530017,142979875,256557660,101706884,87732315,74125843,61342856,49859408,39835764,39835763,49859407,61342854,74125841,255597220,256050280,257106128,142979873,269888998,177662750,186944406,195030672,201949603,207769413,212567008,216487986,219740628,222486844,224845028,226891918,228675740,230245547,274216326,232894848,231898644,230533050,228999003,227260796,225271082,265278089,217190006,213423296,208824187,203230240,196560651,188774277,263313977,169595890,158217302,145846019,132625639,118806513,104625568,90461395,76602837,63523197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10348635, s2 = 9269431, dlinesl.size( ) = 8 s1 = 16026103, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14086231, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14058922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058922, s2 = 7866223, int(edited[s2]) = 0 s1 = 14058922, s2 = 7866223, d1 = 2, d2 = 41 Dl.O(d1) = 21843348,268225856 Dl.O(d2) = 7625013,11463610,9125939,9125938,13353897,9936992,6531155,4092314,2448343,2349386,1361012,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237401,420603,740000,1296188,739830,739832,1296195,2235015,3732812,5616143,8635777,6518832,6518835,255329265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058922, s2 = 7866223, dlinesl.size( ) = 30 s1 = 6706736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6706736, s2 = 16064639, int(edited[s2]) = 0 s1 = 6706736, s2 = 16064639, d1 = 52, d2 = 93 Dl.O(d1) = 257559863 Dl.O(d2) = 23138875,30556255,39153849,49083839,60487216,73234084,86847107,100828355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6706736, s2 = 16064639, dlinesl.size( ) = 2 s1 = 6706736, s2 = 16064639, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6706736, Dl.E( ) = 94, 2.38e-05 seconds used appending s1 = 14095726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 748512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8183483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8183483, s2 = 14074838, int(edited[s2]) = 0 s1 = 8183483, s2 = 14074838, d1 = 14, d2 = 13 Dl.O(d1) = 63517848,255229546,39835667,31152982,24932816,18421241,13084502,8916333,5818676,3629692,2167846,1254659,1254657,2167853,3629701,5818693,8916362,13084550,13816912,9475602,9344978,6120935,3829608,2294371,1331193,1331194,769941,769870,769871,437563,437560,769870,769871,437568,254114781,1349567,2328390,3888770,6212979,9475563,255290667,25993589,33809833,42850599,53313090,65312594,78611045,65312591,65312592,78611047,271085633,99372920,85431615,71846019,59107356,258097623,59107349,59107348,47709238,47709237,269800309 Dl.O(d2) = 262703309,165322419,153529892,140852352,127495122,113621969,113621970,99607219,85657571,85657572,85657567,85657566,72070288,59335763,47943742,38029755,29467172,22131967,22131958,16016780,11120901,7376315,4660084,2807529,2807530,4660086,7376319,11120910,10979134,7267031,7267032,10979138,15843147,12494513,12494515,8466438,254408957,1981053,1131376,1131374,1981046,1981022,1981021,3367072,254603449,3367012,3366950,1980939,1131324,1131323,1980936,3365833,1979982,1979980,1977710,1129005,1129006,1977715,3363463,5468877,5472920,8463171,8466347,8461749,5467436,3362081,1976672,1976670,3362079,3365634,1979773,1130488,1130489,1979774,1978199,1129317,633259,633260,1129321,1978201,267846195,1128888,1128887,1977527,1130906,1130907,1980348,3366261,3367571,1981435,1131651,634675,634676,1131652,1981438,1976752,1128446,1128444,1976763,3362188,3362841,3362842,3362004,1976608,1976611,3362008,3366268,1980353,1130910,1130911,1980355,1980378,1980377,3366290,3362347,1976878,1128511,1128512,1976885,1128573,632834,351274,351276,632838,351290,192438,192439,351293,632873,1128642,1977105,3192335,5230970,3367417,3362163,254408437,3192396,1868475,1868474,3192394,3192645,5231257,5231256,5472737,8466911,12493559,8464935,5470746,5470744,5469697,5469698,5230832,5230833,8160159,8160678,8160675,12129264,17247399,17247151,17247150,23556097,23556098,31038121,25592850,18983392,18983391,25592848,22623978,22623979,256385063,31038818,31517378,24015994,17667743,12493573,12493574,17667744,24015995,20181436,20181435,27078336,29492604,29492603,38056639,256294226,24302722,24020105,24020104,31517149,27156010,20244360,20244361,17667895,12493703,8462231,5467994,3362635,3362636,5467997,8462237,12493717,17667920,24016247,31517691,31525628,24023724,17673814,17673813,24023721,31519336,40205639,40204278,40204279,40192970,31518995,24017488,24017490,31518998,31527022,40211579,31525679,24023763,24023764,31525686,31525739,24023797,17673853,12498214,12498213,17670086,24018880,25271002,25271001,32995166,35255219,31526960,31526957,24025296,17675040,17675039,24025289,24025346,24025347,17675081,17675080,24025374,31527492,31526803,31526805,31526829,40212606,31527231,31527232,31527217,24025233,24025231,31526791,31527211,31526887,256536093,50233236,61712885,50232987,50232988,50232975,50232974,46396807,46396809,57747587,59486645,48097913,38186419,29619482,29619481,38186417,48097910,59486644,59486847,59486849,61713327,258275483,58248588,46881364,37002654,37002653,46881363,38867542,38867541,48789680,60186204,58248621,46881421,46881420,50068258,40048955,40048953,38349169,37591494,37591495,38867765,30282095,22884417,16655651,16655650,255946705,256542352,40207234,38867599,30281998,30281997,22884390,16655637,11623167,11623166,16655632,22884383,30282024,38867645,40207341,31521468,31521467,40207337,50228674,50228705,50229535,51028906,257666229,40207378,40207379,50228702,46881521,46881522,48789645,38867505,38867506,269306592,24019998,24019999,31521373,37867565,37867564,47792010,46494527,46494528,47944355,42440122,33447077,33447078,257217541,40208628,40208629,50229569,47443454,47443453,40208441,38301375,38301378,31522467,30810803,23382274,17111854,17111853,23382269,30810794,36628010,28154313,28154316,36628016,39416006,40208375,31522655,31522654,40208372,42439812,40208479,40208476,31523190,24021597,17672146,17672145,24021594,255081874,40208927,40208929,40208852,31523138,24021550,17672108,17672107,24021540,31523123,36639647,28164617,20984603,15072198,10395256,10395255,15072192,18786998,18786997,18712421,18712420,15035637,15035641,20944014,20964886,25302485,25287809,18714853,18714854,25287814,33012820,33010361,33010359,33010332,25285389,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,13319012,13319011,18712347,20984609,20984612,25285233,29653507,31539393,25286213,18713345,254913751,5954086,3723505,2229434,267809643,5954097,9100166,13320041,15042635,15042637,20951419,25281330,28111309,27993822,20829518,20829520,21912082,21912083,17196321,12092107,8131838,5209888,5209889,8131840,255154201,23479157,257038057,17196170,17196173,23478950,30916054,32986649,25263363,25263362,23479020,255420322,39526720,39482386,39482387,49412152,39512123,30904002,23469506,255988965,39512115,256861690,48576168,59967850,49762219,49443393,257051104,47940609,47940607,38027215,29465130,29465131,24478482,18056581,16015145,16015143,16015180,18056606,24478509,32043273,28843203,21571733,15549067,15549066,16015373,11119776,7375580,7375582,11119778,16015377,22130210,28843316,28843317,29426409,22095619,15987344,15987343,21571750,15549077,10754102,10754101,268210231,18897001,13465495,13465496,255449264,7378994,7378993,11125038,11119905,11119906,10754115,7104896,7104897,10754118,11119922,11119921,12046488,11119657,7375493,7375494,11119659,255448994,11120245,10754130,7104903,7104902,10754128,15549115,16016748,16016747,22131918,29467120,38029689,47943678,59335692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8183483, s2 = 14074838, dlinesl.size( ) = 2 s1 = 8183483, s2 = 14074838, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8183483, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 2526346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2526346, s2 = 15194005, int(edited[s2]) = 0 s1 = 2526346, s2 = 15194005, d1 = 15, d2 = 21 Dl.O(d1) = 71851032 Dl.O(d2) = 60234686,48840423,38919991,30333653,22932865,16698089,11658748,7770106,4923374,4923375,7770110,10685943,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,28578343,21356341,15379157,10627577,10627578,15379164,21356353,21349028,15373267,10622850,10622851,15373272,21349038,21349173,15455111,10685935,10685936,15455116,16686448,16686450,15344883,12573559,8527590,5526097,3412469,3412470,4394627,4394629,6992846,6992867,4394646,2633438,2633437,4394640,6992864,10599374,15345023,10654623,9470656,9470657,13809803,19312777,21315777,28539130,24131418,24131416,28580545,28580544,37037603,28539078,21315735,21315734,17767837,12573704,8527675,8527674,12573701,17767833,24131244,21315848,15344981,15344982,21315852,28539227,37037673,42825193,40328080,40328079,46915249,37082605,37082606,40328296,40328083,31638430,24269943,24131223,17767808,12573691,8527667,5526147,5526148,8527671,12573697,17767824,17767849,24131265,31638465,40328068,37082648,37082647,39256483,31638604,31638605,31638676,40328332,31638686,31638683,31638682,31638666,31638665,40328297,31638635,24131388,24131389,31638030,24131227,18774644,18774643,21315843,21315844,28539213,37037731,46915292,42037637,42037635,50355322,58280669,46963548,46963477,37082506,37082507,31782729,24269940,24269941,30384459,24131177,17767773,12573677,12573676,17767767,24131168,24131258,24131259,31638462,40328112,40328455,31638792,31638793,30660770,30660768,33089685,33089686,42037600,52381400,46943160,40328446,31638781,24131503,17768021,12573823,12573822,17768016,24130910,17767598,13370534,9138205,9138207,13370540,18774662,25356863,33089725,33372061,33372062,42361053,52760678,46963479,37082511,28578267,28578269,22982157,16744774,16744772,22982152,30384464,38970776,40328010,50355245,48480062,40328000,31638457,31638459,40328106,50355345,48480055,48480053,59871858,60581769,49182127,42037597,42037595,50355226,40327982,31638336,31638337,40327986,37082545,37082544,40149266,31465599,23969938,23969930,23969932,24130919,31638035,31465667,23969981,23969980,31465664,40149320,40149338,40328430,40328431,40327656,40149221,40149222,38244045,29679225,29679227,22982143,22982144,30384453,38970767,42037632,42037633,38566604,38566605,31638052,31638053,38566594,38566589,38566588,44730361,50174796,49891487,48490577,38577308,30006415,30006416,38244070,48152963,50355215,50333515,50333517,50174832,40149276,31465606,23969944,17620498,12438911,12438912,17620505,23969962,28938025,21659361,21659362,27191045,35310865,44730307,35311253,35311254,42037604,33089693,33089692,35311023,44730410,38244041,30384439,24522983,24522981,32098231,32098235,39869443,39869444,49891497,47963683,38050499,37602710,29679236,29679233,38244058,48152954,39869434,31186993,31186992,39869428,39869475,39869474,49891515,52381393,49891508,40149241,35310896,34104015,29679241,29679240,31465645,23969965,23969949,23969950,27112963,27112962,27191050,20266770,20266771,27191055,27191090,27191089,27191166,20266854,20266855,27191172,27191270,32098248,24522998,18091761,12826731,12826730,18091756,24522987,23697263,23697262,31187003,27038214,27038213,35125326,40869986,40869985,44730431,39869440,31186995,23697258,23697257,27191037,27191660,27191657,35310914,27191678,27191677,35311318,34104020,26240561,26240564,27191032,31638473,31465639,31465638,27191134,20266834,20266835,20266783,14541106,10004622,10004621,14541112,14541385,14541383,14541150,14541151,20266868,20266970,27191274,32098240,24522992,24522991,27191082,28757197,35125316,35125397,27038272,20145330,20145331,27038279,27191097,27191096,24522977,20267082,14541305,14541306,20267086,20267099,20267109,14541461,10004833,10004834,14541468,20267313,27191335,27191334,27191418,27191419,35310836,35310905,27191102,27191101,20266840,14541141,10004643,6574616,4118413,4118411,6574612,10004635,10004794,10004793,10004651,10004652,14541166,17579238,23920660,27191389,20267411,20267412,21497863,21497864,27191805,27038284,20145334,14450721,14450723,20145342,21497848,15491221,10712499,10712500,10004737,6574662,6574663,10004745,14541321,20267114,15491226,15491225,21497854,28757188,27191306,27191303,27191302,35311047,31410567,27191398,27191297,20266987,14541240,10004696,6574641,4118426,2463367,2463365,4118420,6574633,6574703,6574704,10004798,14541398,20267212,23920655,27038337,20266926,14541531,14541533,255757723,20267421,14541539,14541540,14541522,14541521,20267199,27191546,27191281,27191200,27191201,28756865,28756867,27191277,20267057,14541284,10004717,10004716,14541278,10692142,10692141,7063733,4447465,2671943,2671944,4118431,6574648,6574711,10004806,14541411,14541550,14541593,10004895,6574757,4118484,2463401,1423956,810105,810104,1423949,2463392,4118473,6574716,10004817,14541428,20267218,20267481,20267480,20267424,15463202,15463201,20267353,14541494,14541327,14541326,15463276,21464033,15490831,15490832,21497474,21497491,20267051,20267050,27191354,20267034,20267035,20267043,15463266,10692113,7063713,4447455,2671940,2671941,4447457,7063715,10692117,15463278,21464036,28720240,37251072,47155937,58544269,71275924,65176079,53190468,42740931,33711325,25904953,19244021,13749838,13749841,19244026,13818570,10048879,6603323,6603324,6585536,4126071,4126070,6585531,10019585,14560894,20291578,27220096,30281425,38527605,48435581,59821592,72556978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2526346, s2 = 15194005, dlinesl.size( ) = 2 s1 = 2526346, s2 = 15194005, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2526346, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 7927092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7927092, s2 = 8189716, int(edited[s2]) = 0 s1 = 7927092, s2 = 8189716, d1 = 84, d2 = 92 Dl.O(d1) = 271053996,48142236,59529480,50528331,40492789,31797850,24283954,22457533,16289608,11332980,8614709,5599826,5599825,5508266,5508268,8507797,12548608,255583133,255807889,255016097,6888143,6888140,10448695,10981476,7926236,254816127,16944946,21654920,15620118,15620119,21654922,28932447,24284005,24284004,31797922,29484675,22203493,22203492,21933372,15845845,15845846,21933375,29254421,29484683,29484635,29484633,29254872,21933822,21933786,15846166,15846046,10981438,7268713,7268715,4583940,4583942,7268749,10981502,15846139,17735521,17735520,21913596,17180533,17180534,15845979,10981408,10981407,12548600,17735583,16073822,16073823,11718643,11718644,16765676,21665844,15630155,15630154,15845838,17180482,17180481,23458978,30891736,29415507,29415510,29268549,21946245,15857106,10990748,10990747,15857100,21946232,29268528,29254892,21933834,15846193,10981530,7268766,7268764,10981523,15846024,10981430,10981431,15846031,10981489,10981490,15846126,21933682,21933683,29230240,37792350,47713071 Dl.O(d2) = 9318998,10996823,7279693,4591810,4591808,7281070,7281083,7819411,4961458,4961460,7819417,10033880,6594203,4131222,4131221,3668112,3668114,5874647,7768630,7768629,11657213,16696514,16696501,16696500,21689509,21689510,19303773,19303774,22931046,22931047,27247108,35371349,28941299,23113891,23004781,23004782,29708413,26255110,19536937,13989041,13989043,16826996,15869770,15626615,15626614,15866145,10996849,7279742,4591123,2762239,1601326,910622,910621,1601537,1399722,1399719,1919051,254134095,187665,187664,342124,254183463,267842873,3250509,1908723,1089891,988943,556365,311133,172000,94622,94623,172009,311155,556401,989018,1740426,2993271,4957878,5299433,3267364,1920744,1097237,1097235,1920739,2993586,4958190,254806221,5259077,5259078,254393609,3229101,4971226,4971227,5250380,4624263,4624262,5251239,7831452,7915437,5031961,5031962,4605134,2771427,2771429,4605137,4623864,2784455,1615085,1615084,2784451,4623857,7318741,5254087,5254085,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291149,5301106,5301102,7928731,11026067,11026081,15904728,17288560,12167524,12153646,8184062,8184061,11047590,11044482,7319326,4621074,4621075,7319328,7826103,4967357,4967358,7826104,7825124,4966619,2999733,1742092,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783468,3226799,3226801,3256251,5305885,4734926,3000660,1742571,990109,990110,1742550,1742528,1742526,1063188,597634,333087,183343,100497,100498,183348,333100,597665,1063245,1863546,1863545,3184255,254370937,1742427,1742430,2999366,2999369,3220369,3220364,3186337,3186341,5223238,8151857,5223121,3186265,3186263,3183533,1863162,1063036,597555,333050,267745677,1063023,1863133,3183491,5218715,254577427,3185713,1864306,1864308,3185715,3256727,1913094,1092531,613327,341074,187166,102236,56238,56236,102229,187149,341039,613255,1092413,1912887,3256350,5306016,7311278,4614717,4614718,7311280,7490504,10960147,10960148,15815461,21893208,255204615,5599753,254541551,2911532,1689028,1689029,254361641,7637369,11284999,7491998,7491997,8224654,7819220,4961299,4961298,254806559,8224215,12193850,12165434,12165435,12192180,12203964,11160146,7402688,4676681,4676618,4676617,4676649,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,3223499,1889489,1889488,267841751,254584523,3248522,3248523,5297668,5303003,3253801,1911036,1091332,612731,340779,340780,612720,1091316,1911014,1921275,1921276,3268036,3269809,3259599,3201106,3201105,5242333,5277222,5281788,5275781,3230036,1921338,1921337,2853131,1884428,1075066,603951,603950,1075060,1884416,3216442,5261156,3252356,3203158,1915556,254182039,608124,608126,1082779,1897052,1922727,1922725,3202938,1885936,1885934,3218568,5263344,8193585,254581585,3220804,3220805,3248102,5263328,3218555,1885922,1885921,3218551,5263324,3251357,3251356,5300505,8229146,7322775,5301223,3261308,3196442,3196441,1871126,1067344,599908,599909,1067348,1871129,3196451,3226841,1891883,1891884,1610022,1610023,2775484,4609902,5312036,5312035,5240676,3199709,1873218,1074277,1074275,1882989,3214334,3214146,1916205,1094413,1094417,945332,945327,1070741,1070742,1876888,3205151,5247084,7578063,5247198,5247196,5272135,7757103,254367515,1717103,976213,976212,1717935,254367437,254367435,2961269,4912822,7757343,11643962,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675888,21738087,21738088,29028672,37268542,28736531,21479240,21479239,28736528,37268536,30306984,30306982,30307071,22907789,22907788,256352163,21741286,15690873,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,24228972,24228975,29005803,31743633,29012699,29012698,37558936,31746707,31746708,40435951,37586183,29038662,21746421,15694726,15692672,15692676,21743548,21724721,15679284,15679283,15678733,15678732,21719462,21719463,29005325,29005908,29005904,37551492,47459083,47459079,37551485,29005898,29005897,37551483,47459074,50473175,50473176,49108288,39178486,39178487,49108289,60511537,71817419,59075981,47675507,37753016,37753017,47675509,59075983,71583707,58859788,47477074,37571158,29024269,21734540,15690885,15690880,21741305,256124936,17272356,12151666,8182080,8182081,12151670,255546645,268621415,29022340,37568809,37552374,37552373,47459853,58845135,47471791,47471790,58855832,47477943,47477942,47463013,37555541,37555542,37579847,47485283,47459870,37552413,29006823,21720826,21720828,15690845,15690846,255858687,37579778,29041734,29041733,29035509,21743764,15692836,10863720,7182704,4525001,4524997,7182667,7182666,7182717,10858476,10858460,7178777,7178558,7178557,7184711,4526308,2720866,1576651,896376,505644,505645,896377,1576653,2720868,4526313,4520987,4520986,7176913,10855469,15680299,11640871,7755298,4911567,4911568,7755300,11640854,11640827,7755257,4911525,2961384,1717320,975840,549415,549416,975842,1717324,2961388,4911585,7755322,11640888,7755313,4912513,2961028,1717004,1717005,2961031,4912517,7756998,11643519,16680821,11643525,11643526,16680830,22913774,22913778,22914674,16681554,11644101,11644102,16681556,11644238,254594038,22914810,30314878,29328950,21998589,20999350,254402638,22919608,22919607,22918362,16684714,16684713,16685944,11647756,7760271,254402634,7760305,4915056,2962804,2962805,4915059,7760312,11647823,255506031,30319441,254850568,22919574,16685966,254402660,15112000,21039317,28237536,255821502,48295081,257428056,49402324,60563539,49163825,49163826,48295091,48295090,257139162,39482242,39482240,49412021,47284904,37375333,28835197,21563981,15542212,15542214,21563986,28835210,37375349,39108568,49038430,49182655,39256843,38486424,38486425,38270519,29704375,29704376,38270521,37375170,28835070,21563911,15542176,15542177,21563914,28835078,37375181,47284777,38900584,37375263,37375262,47284842,40271965,40271963,50293289,40271973,31584922,31584921,40271970,47284819,37375234,28835124,28835106,21563927,15542183,10748956,7101601,4471249,4471250,7101604,10748960,254358982,21563969,21563968,28835181,255098930,255225800,47355070,50462127,40424679,33240933,25491184,18887168,18887167,21634518,15602944,15602943,255848991,16176216,11243285,11243286,11243798,7465666,4717847,2842228,2842229,4716273,2841324,254354067,2841535,2841462,2841461,2841247,1648186,937219,937217,1648350,2841231,4716143,7463062,11243400,11242589,7463026,7461747,4715186,2840564,2840563,2841508,1648361,1648362,2841478,1648339,1648337,2841474,4715483,4715893,2841052,2841053,4715898,7462677,11242824,11725885,7828164,4968943,3001202,3001201,4968938,7828157,11725878,16772011,11726651,11726652,16772019,11725881,11725880,16772016,16089556,16089555,16016247,11120539,7376115,4659967,4659968,4968913,7828118,11725825,13212322,11726701,7828743,4969307,4969306,4969883,4969882,7829583,11725459,16089551,11174739,7414047,7414046,7828866,7828865,11726869,267898349,4969452,7827859,11725429,16771434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7927092, s2 = 8189716, dlinesl.size( ) = 26 s1 = 13317251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2534785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2534785, s2 = 16064640, int(edited[s2]) = 1 s1 = 14067217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2195552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2195552, s2 = 3609369, int(edited[s2]) = 0 s1 = 2195552, s2 = 3609369, d1 = 2, d2 = 4 Dl.O(d1) = 59353472 Dl.O(d2) = 123671200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2195552, s2 = 3609369, dlinesl.size( ) = 2 s1 = 2195552, s2 = 3609369, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2195552, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 14920245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14920245, s2 = 10217866, int(edited[s2]) = 0 s1 = 14920245, s2 = 10217866, d1 = 31, d2 = 20 Dl.O(d1) = 268692177,50543253,48474743,268439454,58144699,46777131,43919106,255020392,31193504,23704338,22846092,22846091,29359561,22029238,15928134,15928135,13461794,9205892,6027008,6027007,9205890,13461792,18890218,25495022,33245451,255448184,31193176,23704025,23704026,28343262,36840021,255111314,33858963,33858964,256926861 Dl.O(d2) = 85764183,72169963,59431471,48039387,38126176,29560690,22215244,22215245,29560693,29560712,23428908,23428907,255130960,21246097,21236521,15267927,10535156,10535157,6947789,6947787,10535163,15267934,21236528,23438756,17164565,12068353,10570489,6972126,6971797,6971799,8384572,8272017,5337651,5337649,8272008,12247827,9378759,6144040,5197477,3171058,3171059,5197456,4373592,4373590,5403074,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,9243352,6053877,3788312,3788308,6053857,6941402,6941403,10525000,12433327,8402946,5422311,3333304,3333301,5422321,8402973,12433358,10541544,6952076,6952078,10534074,10541982,6952379,254725593,15275590,18968145,13532635,9262652,9262651,13532633,18968141,25576844,256654039,52704087,64604618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14920245, s2 = 10217866, dlinesl.size( ) = 2 s1 = 14920245, s2 = 10217866, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14920245, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 6805818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6648215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15590398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11726760, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14932261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2366244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2366244, s2 = 11662213, int(edited[s2]) = 0 s1 = 2366244, s2 = 11662213, d1 = 19, d2 = 15 Dl.O(d1) = 64238138,59422512,59422511,72161604,85756237,99710363,113724707,127593379,259327700,72161639,59422557,59422556,48030108,48030109,57993317,57993316,70710151 Dl.O(d2) = 48029988,38116965,29552218,22207489,16076830,11163786,7404933,4677980,2818207,1634976,1634975,2818205,2818336,4678163,4677877,2818138,1634935,1634910,254235863,929767,524077,524076,929765,1634977,2818209,4677984,4677986,7404936,255079405,13260982,9048458,5915029,3697984,2214579,1285153,733942,733944,734005,417499,417497,733997,1281809,1282187,733103,417209,417205,733146,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281684,1737230,2992398,4956767,7813973,11712185,16759145,16759151,11712190,11712191,16759153,21378559,15396580,15396579,21378556,28614406,28617850,28617851,37129447,269312151,41864300,47016903,37129444,267856780,25191337,32901921,40278521,40278519,50298957,48245067,38334638,29763920,22401498,22401485,16239731,11290219,7495934,7495935,11290221,16239735,22401494,29763914,38334632,48245059,48245050,38334625,38334624,48245048,255237234,48245033,48245032,59632173,72366644,61388036,52143704,41826227,41826229,52143706,63967007,59632181,48245040,39887186,31208333,23721925,17398054,17398053,23721922,31208325,39887143,39887142,49907690,48245045,47016894,39887119,39515355,30906678,23471580,22401508,16239742,16239743,22401510,29763934,38334653,48245087,49907724,61388081,52143708,41826230,32901918,25191333,25191332,32901916,41826226,49907727,49907726,51311072,51311073,62989493,257333398,257162740,76664875,76664876,268478514,51311096,51311095,62989510,74168642,63118011,63118010,63578960,63578961,62989499,62989498,73598784,60849100,51793407,41516081,41516080,51793395,41516071,32630908,24962013,24962012,32630911,41516078,51793403,63578959,76664855,76664883,63578989,63578988,64029101,64029102,74247370,87852167,99736150,99736151,87852168,74247371,61468893,49991420,49991421,61468895,50279565,50279566,257333392,39975321,31300667,23814331,17479967,255562117,31300670,39975325,49991458,61468941,59450319,59450320,255343920,61468922,49991445,49991440,39975313,31300663,31300664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2366244, s2 = 11662213, dlinesl.size( ) = 2 s1 = 2366244, s2 = 11662213, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2366244, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 15694801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15694801, s2 = 11048136, int(edited[s2]) = 0 s1 = 15694801, s2 = 11048136, d1 = 29, d2 = 60 Dl.O(d1) = 154728825 Dl.O(d2) = 34101292,43186885,44819271,256240264,42568613,33551704,32534733,32534732,25151105,25151106,22638655,16449880,11461493,11461492,16449879,16449887,22638668,21900022,21900021,29214223,22639013,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542359,28008638,22638485,16449783,11461436,11461439,16449793,17132219,22639938,16450849,11462043,7623950,7623946,11462029,16450826,11462264,7624070,4823641,4823643,7624077,7623910,7623911,7624103,7624101,11447433,11447435,16432396,22617030,25590137,18980921,18980920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15694801, s2 = 11048136, dlinesl.size( ) = 44 s1 = 1843746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1843746, s2 = 15698508, int(edited[s2]) = 0 s1 = 1843746, s2 = 15698508, d1 = 9, d2 = 1 Dl.O(d1) = 48045693,38132391,38132392,48045695,59437433,72175798,85769919,99723669,113737905,127606536,119767888,105534713,105534712,119767885,127654539,113786643,113786642,105534715,91317027,86203218,86203219,91249584,77329913,64248930,257191989,33101257,33101258,42049971,52393731,64248934,77398637,77398596,64248902,64248903,77398598,91317023,85769917,72175796,59437432,59437433,72175798,85769919,99723669,113737905,127606536,119767888,105534713,105534712,119767885,127654539,113786643,113786642,105534715,91317027,86203218,86203219,91249584,77329913,64248930,64248929,77398605,64248906,52393709,42049959,33101252,25366813,18783178,255658945,256637123,52393701,64182613,52332436,41993164,41993163,52332430,52393713,42049963,257191985,25366813,256121801,42049957,257781497,77398599,77398759,64249024,52393788,42050005,42050008,52393794,64249031,59819893,59819892,72555213,86153500,86153515,72555229,72555230,86153509,100119822,105471715,259023072 Dl.O(d2) = 91317001,105534696,105534719,119767895,133637400,146890390,159261106,170596204,180725473,189621190,197307557,203863735,264626223,217508035,220579674,223191836,225449908,227413257,265927741,266171863,232262814,230943733,229471852,265672293,223765969,265333683,218358868,214892821,210680519,205524020,199290636,263800961,263028847,162530075,150399784,261555529,123626284,109432823,95176650,81118231,67651673,55312291,44466373,35089958,255745221,14424532,14424531,20113692,27004239,35089956,44466372,257910543,67651672,81118230,259787867,123626283,261555527,150399783,162530073,173562934,183359268,191923334,199290635,205524018,210680518,214892820,274178488,210582922,210582923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1843746, s2 = 15698508, dlinesl.size( ) = 2 s1 = 1843746, s2 = 15698508, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1843746, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 6644729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8187267, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6787656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6787656, s2 = 1346928, int(edited[s2]) = 0 s1 = 6787656, s2 = 1346928, d1 = 26, d2 = 33 Dl.O(d1) = 258453338 Dl.O(d2) = 33848538,33848539,31885155,24358152,256054195 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8539669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8539669, s2 = 15088934, int(edited[s2]) = 0 s1 = 8539669, s2 = 15088934, d1 = 25, d2 = 18 Dl.O(d1) = 262235089,141026023,127677916,113809965,99795978,258752909,72251930,259377857,271802623,59517975,48130714,38220701,256940317,29654707,22303056,22303057,256398187,48130713,59517972,48131112,38221074,256940348,29655134,38221073,48131110,59518379,72252340 Dl.O(d2) = 25302343,33028548,41971671,52312190,64163701,77311706,257596288,51697173,269474281,75661458,75661459,84088555,97962394,88685806,75035163,62212285,50692509,50692508,62212282,70444219,57749124,57749126,53826369,53826367,43301246,34203090,26329655,19602051,18123223,12850715,10816970,10816969,15631117,17985850,24385412,31917912,40633481,46493890,36627477,36627476,39259946,47397408,58785396,61246539,256286208,43301211,43301212,256286210,58785399,58785398,70551676,73329943,74837451,88470839,88685795,75035151,62212271,50692500,40633464,40633465,50692503,47088898,47088899,58467086,70551658,57849861,46493866,36627458,31917906,31917907,255798380,51063326,51063325,62692698,75637174,85087890,75637176,62692701,62692700,71515448,75035170,62212295,50692519,50692518,62212294,70551725,57849907,46493915,46493916,57849909,50385839,40351234,37193006,28671018,28671019,37193009,40512851,37193011,37193012,47088902,58467091,257403564,256286216,71515449,85087898,90477175,84758021,71189150,71189149,70551726,70551727,74666721,62212292,50692517,40633477,40633478,40633476,40633475,42796072,33764459,33764460,41490083,32610562,24946045,24946044,255522948,255843997,37350845,47260289,58652081,71387280,71387281,58652082,257403572,75035169,65237926,53248342,53248341,63539281,71387285,71387287,71387286,84961908,84961910,90477177,104640690,106894445,92575425,78528159,65237924,53248339,53248338,42796071,33764458,25955882,25955883,33764456,33764449,25955875,25955874,33764421,33764420,42796039,33764417,33764416,42796038,42796031,33764412,33764411,42796029,256680653,33764419,42796042,257238197,53248312,42796045,257403570,60665069,49263821,39337537,39337539,49263825,268924890,258072102,85119842,85119840,84407828,84407829,70850234,70850233,58135918,46768193,36889928,28392937,256302909,46768188,58135899,46768184,46768185,58135901,70850217,70850242,70850239,84407852,92575408,98317784,112300945,112300936,98317778,98317776,89352186,89352187,103447989,103448010,260191361,260160902,98317781,270921242,98317783,89352217,75590905,75590906,70850211,58135893,58135892,70850208,258748011,75590898,62648411,62648410,272468644,51022420,51022419,40885450,40885451,51022413,51022414,62648362,257126685,32112188,32112166,24535320,24535321,32112169,40885412,51022423,51022447,256576157,32112182,40885430,51022449,62648379,62648380,75590872,257711639,40885440,32112186,32112187,40885442,51022457,62648408,75590912,75590890,62648390,51022435,40885421,32112177,24535325,24535324,32112175,40885419,51022433,40885448,40885447,51022426,62648378,258949033,89352212,75590896,62648398,62648397,75590878,62648383,51022428,40885416,257126683,258949035,75590910,270968489,75590883,62648387,62648386,75590882,89352191,258323375,62648375,75590868,89352193,258554816,98368903,84459605,84459606,98368905,112351211,113076828,99088649,95638663,81605903,68117287,68117288,81605906,256766790,109842070,103447987,89352185,75590857,62648360,62648359,254987404,95638001,81605982,81605983,95638737,109841420,123980921,109841413,109841414,95638676,81605921,81605922,95638677,109842076,123981593,114386058,114386059,113752800,103448004,89352210,75590894,62648394,59452661,48061541,38148763,29582769,22235088,22235089,29582771,38148767,48061549,59452670,257333552,99738403,113752796,123980927,109841417,95637997,95637998,85784582,75590885,72190578,72190577,85784589,99738381,99738380,99738554,99738555,113752777,99738432,85784636,72190632,59452714,268942085,29582785,29582786,256934667,59452716,256240082,268556588,257333554,127621646,123981605,109842101,95638710,81605955,68117339,55721014,44814527,35389793,35389794,44814530,55721016,68117345,258532482,109842105,113752963,127621796,123981603,109842097,95638705,95638703,109842095,123981601,113752969,269653238,256766792,127621803,123981627,269653240,257912054,72190606,85784618,79354675,79354676,93491239,107929129,270137512,127621799,113752964,113752965,127621649,113752971,99738561,85784738,72190726,59452785,59452784,72190721,85784638,72190634,258747783,99738429,113752811,113752966,113752973,99738563,271170164,258532484,59452696,59452779,257312378,81605957,95638712,107929127,269637868,99738427,95193120,95193118,99738421,85784621,72190610,59452701,59452699,48061620,38148819,29582811,29582813,38148821,48061623,59452791,72190731,72190640,72190641,85784642,85784615,72190604,59452694,48061563,48061562,59452692,258124475,59452725,48061751,48061752,59452925,72190555,59452645,59452646,72190558,85784565,73329939,60585747,49185778,49185779,59452627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8539669, s2 = 15088934, dlinesl.size( ) = 2 s1 = 8539669, s2 = 15088934, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8539669, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 13565429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13565429, s2 = 14333981, int(edited[s2]) = 0 s1 = 13565429, s2 = 14333981, d1 = 18, d2 = 9 Dl.O(d1) = 270815437,71384856,71384855,84959579,71384858,71384857,72258349,72258350,85849482,88296828,270920102 Dl.O(d2) = 28573348,28573351,255835498,21345047,21345078,15370151,15370150,21345076,28573402,37076807,46957237,46957238,58324437,58255788,58255787,58324415,46957222,37076797,28573393,21345070,21345071,28573378,37076786,46957207,58324390,58324382,46957200,46957201,58324385,66956706,66956707,64269953,52414502,42070711,42070710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13565429, s2 = 14333981, dlinesl.size( ) = 2 s1 = 13565429, s2 = 14333981, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13565429, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 15997991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14950207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14950207, s2 = 9662591, int(edited[s2]) = 0 s1 = 14950207, s2 = 9662591, d1 = 44, d2 = 43 Dl.O(d1) = 257245144,51012975,255293348,42909948,33864393,258454883,72280115 Dl.O(d2) = 48158597,59545644,261722991,263153283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14950207, s2 = 9662591, dlinesl.size( ) = 40 s1 = 16023229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16023229, s2 = 12297498, int(edited[s2]) = 0 s1 = 16023229, s2 = 12297498, d1 = 0, d2 = 0 Dl.O(d1) = 15868553,255799913,36645942,258015789,270795233,97983255,101920454,87948036,74345746,61568703,50088584,256883544,31384638,40067244,255046176,32417517,26981624,26981625,35065086,44439223,50088607,40067266,31384657,23888081,17541494,12372636,8360676,5396508,3318383,1952154,1952153,3318380,5396505,8360671,12372629,255567579,256525167,48018762,38108692,29545480,22202107,16072834,16072837,268400991,38108705,48018775,59405660,50208535,256534301,31501371,32956755,25236887,18667862,13276175,9060905,9060907,13276178,9613049,6314195,6314194,4288788,4288787,6835343,10373782,10365302,6828210,4283789,4283791,6828212,10365309,10360913,6824546,6824545,10360909,15033304,20941863,28119122,20962607,15053078,10379046,6839233,267958611,20962609,28140713,36614400,38831631,30248124,22853637,16628362,11598911,7721194,4887241,2945061,1707937,970819,970820,1707945,2945079,4887274,7721235,11598972,16628431,22853633,30248121,38831628,48751719,60146009,72882475,86477842,100435052,99834809,85881498,72289649,59555418,48168659,38259074,29693444,22340328,16192167,16192168,22340329,29693445,38259075,48168661,59555421,72289652,85881499,99834811,113850344,127720960,141071243,153737128,165513321,176189069,180965586 Dl.O(d2) = 15868553,255799913,36645942,258015789,270795233,97983255,101920454,87948036,74345746,61568703,50088584,256883544,31384638,40067244,255046176,32417517,26981624,26981625,35065086,44439223,50088607,40067266,31384657,23888081,17541494,12372636,8360676,5396508,3318383,1952154,1952153,3318380,5396505,8360671,12372629,255567579,256525167,48018762,38108692,29545480,22202107,16072834,16072837,268400991,38108705,48018775,59405660,50208535,256534301,31501371,32956755,25236887,18667862,13276175,9060905,9060907,13276178,9613049,6314195,6314194,4288788,4288787,6835343,10373782,10365302,6828210,4283789,4283791,6828212,10365309,10360913,6824546,6824545,10360909,15033304,20941863,28119122,20962607,15053078,10379046,6839233,267958611,20962609,28140713,36614400,38831631,30248124,22853637,16628362,11598911,7721194,4887241,2945061,1707937,970819,970820,1707945,2945079,4887274,7721235,11598972,16628431,22853633,30248121,38831628,48751719,60146009,72882475,86477842,100435052,99834809,85881498,72289649,59555418,48168659,38259074,29693444,22340328,16192167,16192168,22340329,29693445,38259075,48168661,59555421,72289652,85881499,99834811,113850344,127720960,141071243,153737128,165513321,176189069,180965586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16023229, s2 = 12297498, dlinesl.size( ) = 2 s1 = 16023229, s2 = 12297498, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16023229, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8574766, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2551986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9132047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9132047, s2 = 7238097, int(edited[s2]) = 0 s1 = 9132047, s2 = 7238097, d1 = 258, d2 = 262 Dl.O(d1) = 29719109,29719110,38285707,48194884,59581277,259383501,261178763,153790325 Dl.O(d2) = 264408566,183386762,173592704,262555326,123662546,260363652,81159360,81159361,67693814,55354093,44507821,35131209,256190562,14457265,9946303,8718728,5675131,4095657,4095656,6536976,9946154,14457091,20153132,27045570 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8024369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8024369, s2 = 3915366, int(edited[s2]) = 0 s1 = 8024369, s2 = 3915366, d1 = 27, d2 = 33 Dl.O(d1) = 22383200,256947459,59607555,270324487,85935734,72341993,59607561 Dl.O(d2) = 59607561,48220790,48220791,59607562,72341995,85935738,99890777,113909119,127783561,127783563,127783564,141140502,127783569,127783566,113909125,99890776,260003197,127783568,127783570,141140497,141140495,141140496,141140494,260603173,85935724,99890763,113909112,99890764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 14520595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11307412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307412, s2 = 13661040, int(edited[s2]) = 0 s1 = 11307412, s2 = 13661040, d1 = 8, d2 = 3 Dl.O(d1) = 263907545,185768580,176323765,165653658,153875171,141200958,127840161,113961673,99938912,259388375,258139861,48264698,38353743,29781130,22415727,16250689,11297964,11297963,16250687,22415725,29781125,38353737,30457949,23050366,16804684,11750836,268097695,255512879,11750678,8586739,5579643,5579641,8586733,12646632,11297816,11297817,11297917,11297874,11297875,8220593,8220592,8220657,8220658,12190502,15680380,10855531,10855533,15680382,16675128,15694927,15673744,10850605,7173344,7173345,10850611,15673763,18853333,18853332,15696060,10865730,7184058,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579879,3462014,2053011,2053010,3462010,5579871,8587224,12647549,17859746,268449761,40440981,40440982,50477863,61971114,258291831,50470750,40433071,257099185,37572783,29026009,21735956,15686982,15686983,21735959,15693086,10863858,10863857,15693082,21744117,29035905,37583286,37582382,29899340,22543821,16368271,16368272,16478970,22675910,22543952,16368358,11391143,7568179,7568174,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21724361,29002761,21717050,255856297,37548599,29039149,29037264,21745239,15693902,15693903,21745244,29037272,22906803,16675050,11639350,11639351,16675052,22906804,30305992,30305989,38892004,37568353,29021901,24236056,24236055,29026021,21735967,21735966,24233716,21751292,21751291,255859105,15694989,15694986,21746785,29025973,29025974,29045473,29045474,37557538,31744503,24234286,255898700,16675891,16675892,22908053,21724428,15679117,15679120,21724442,24229873,21747186,21747191,29039522,33198037,257199137,37560601,29014143,21726527,21726526,29014141,29020651,255423385,15684097,21731739,256351079,47473429,38893349,256993015,47484571,47484572,58844640,47459215,37551676,29006083,21720144,15675943,15675944,21720147,21748457,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018468,29018276,21729835,21729837,21107500,15161981,10456202,6892350,4326655,4326654,6892345,5579218,3461603,3461604,5579225,8586098,12645556,15689914,10861669,10861670,15677113,10853321,10853320,15677106,21721457,29007533,31741144,29024973,21735100,21735098,22907137,30306119,37557665,29020964,21732022,15684277,10857917,10857918,15684284,21732042,21732282,15684455,15684456,21732290,17856445,17856446,24228838,23577161,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,505118,895407,1574869,2717305,1574531,1574532,896120,896118,1576178,1575883,895947,505392,505393,895939,1575858,1576121,1576123,2716884,4520154,2717021,1574364,895691,505254,505076,505075,895355,1574749,2717671,1575811,895917,505549,283386,283384,505537,896187,1576324,2720216,4525177,4524618,2719728,2719729,4524620,7182168,7174638,4519383,2716873,1574266,943550,532134,532135,943553,1658341,254356063,7500938,11297965,16250691,255911071,29781131,256950377,59651619,72386043,85980974,99938921,107603908,259005346,43166527,43166526,53676670 Dl.O(d2) = 53676669,53676670,65732573,258468271,93203325,85568250,257469654,257469656,270833905,127396468,260885952,90878100,77000005,77000006,90878102,105056996,119249820,133079765,146307176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307412, s2 = 13661040, dlinesl.size( ) = 2 s1 = 11307412, s2 = 13661040, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11307412, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 8300675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11148744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8392836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8392836, s2 = 11378830, int(edited[s2]) = 0 s1 = 8392836, s2 = 11378830, d1 = 18, d2 = 9 Dl.O(d1) = 113991646,113991645,113991644,113991648,99968330,86008976,72412364,59676980,59676979 Dl.O(d2) = 272753517,135949638,122022106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8392836, s2 = 11378830, dlinesl.size( ) = 2 s1 = 8392836, s2 = 11378830, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8392836, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 2558867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6594110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2219631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9376762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13533435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254542, s2 = 13708576, int(edited[s2]) = 0 s1 = 11254542, s2 = 13708576, d1 = 21, d2 = 22 Dl.O(d1) = 458229,258398,258399,458230,808574,1421286,2458654,4110340,6561105,9982478,11077912,12827553,12827576,12827573,15965007,11080820,11080818,15939462,11789270,7872290,7872291,11058375,7332592,7332591,11058392,15936424,22038722,29345791,29345790,37914853,47836203,53807024,43281963,34185193,34185192,43281962,40590185,31883115,254287566,8649141,8649140,11778102,11778103,12868361,9713712,9713718,14118814,19691474,26429162,34307026,37973495,38713455,30134981,22750310,16540118,11527748,7668597,7668598,11527752,14645862,10074597,6665020,6665016,6618288,4172826,2494364,2494369,4169519,4169909,2492975,1439422,1439417,2493011,4170538,6634476,10103296,14690160,20142350,14448144,14448142,20142320,27035153,35122109,44499717,45830270,45830268,57049146,65860669,56970052,45768508,36061266,36061267,38551422,257545343,59854750,257545341,48464003,59854747 Dl.O(d2) = 141435456,154106672,261745735,128069954,114183147,259403421,86189868,260020965,261198635,154106666,262259561,261745737,154106669,154106665,262259555,261903313,260795147,261364653,157140023,168583663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254542, s2 = 13708576, dlinesl.size( ) = 8 s1 = 2887189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2887189, s2 = 642582, int(edited[s2]) = 0 s1 = 2887189, s2 = 642582, d1 = 12, d2 = 4 Dl.O(d1) = 86198824,72601390 Dl.O(d2) = 16436751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2887189, s2 = 642582, dlinesl.size( ) = 2 s1 = 2887189, s2 = 642582, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2887189, Dl.E( ) = 20, 1.29e-05 seconds used appending s1 = 14879822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14879822, s2 = 14350720, int(edited[s2]) = 0 s1 = 14879822, s2 = 14350720, d1 = 6, d2 = 4 Dl.O(d1) = 162547150,162547151,173578308,262311036,185985530,176561294,165912783,154151777 Dl.O(d2) = 154151779,154151780,141486195,141486194,269847458,100203671,86235410,72632663,59890553,48496555,48496556,59890555,50643675,40595254,31887416,24360168,17965443,17965444,24360170,31887417,40595256,36467554,28008616,20843812,20843815,22637624,22637622,22640035,30011438,38583555,269052494,59892514,72634649,86237222,100205412,114239657,128126413,141487673,154153295,165914316,176562841,185987196,194203644,187453049,178236124,167791149,156195468,143665100,130339878,116503219,102407933,88407661,74776026,61979632,60267302,58121601,46753080,46753081,58121602,49094805,49094804,42175680,38638134,30063851,30063850,38638133,48552570,255002642,48694268,255905100,51394186,63085649,76085632,89886113,104010876,118166360,131982897,145216333,145216335,145216334,131982905,118166366,257523530,76085634,76085633,89886115,258110426,71815630,85404365,85814469,85814468,94415402,80361429,66935717,66935718,76224458,72995256,60259632,48866611,48866610,60259630,53707627,43195893,34109594,34109593,43195892,52715238,52715239,58355394,46985720,46985721,58355392,71071764,58501051,47122482,37224805,33542065,33542066,256113636,64973406,78246840,87245247,86190576,86190575,74148427,61368098,49887573,39865467,31183095,255553411,12238530,8264159,5331902,5331903,8264161,12238533,17370781,23693305,18141347,12864429,8748802,5696161,5696162,8748805,12864433,15113739,15113740,13888904,9713500,6390464,4010570,2403670,2403673,4010586,6390501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14879822, s2 = 14350720, dlinesl.size( ) = 2 s1 = 14879822, s2 = 14350720, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14879822, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10165043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2568405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2968958, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2570824, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11079160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2230213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11093148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6737088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6737088, s2 = 6636155, int(edited[s2]) = 0 s1 = 6737088, s2 = 6636155, d1 = 48, d2 = 73 Dl.O(d1) = 257887953 Dl.O(d2) = 189516364,180610744,170472525,170472524,263332493,274039613,197211863,197211865,197211868,189516364,180610744,170472525,159129891,146755876,262455633,180610741,180610729,170472513,170472512,180610727,189516350,192082820,199433539,197211852,197211853,273085084,180610732,173773489,261608626,192082826,199433542,205653215,263828094,203775872,197211852,197211853,273085084,180610732,173773489,261608626,192082826,199433542,205653215,210798628,209255822,203775875,197211856,273783647,209255821,205653213,199433541,192082823,183541012,261055444,150683028,150683029,162775755,173773493,173773495,173773494,183541016,180610731,180610730,180610726,263332487,197211851,197211866,203775882,263062804,262130380,183541016,180610731,180610730,180610725,180610724,189516349,189516357,262687298,146755871,133499745,119627896,105391419,105391418,119627894,133499743,146755869,159129883,170472510,180610724,189516349,263062802,192082825,183541013,261055444,150683028,150683029,162775755,173773493,173773495,162775756,150683030,150683027,137687510,124006224,109867174,95663238,256815688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6737088, s2 = 6636155, dlinesl.size( ) = 30 s1 = 6653408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6653408, s2 = 12796341, int(edited[s2]) = 0 s1 = 6653408, s2 = 12796341, d1 = 29, d2 = 63 Dl.O(d1) = 256978155 Dl.O(d2) = 100776142,106078308,94412455,80358651,80358652,80358578,66932793,54676176,43933590,43933589,54676172,66932786,80295166,66865834,54607820,43864774,43864775,54607828,62116381,62116382,72103875,74920168,86040019,86393791,86393783,72797811,60059199,60059198,50616881,40574383,31870992,24347134,24347136,31870998,40574397,50616917,62116397,74920178,88558487,87644450,74041231,74041229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6653408, s2 = 12796341, dlinesl.size( ) = 2 s1 = 6653408, s2 = 12796341, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6653408, Dl.E( ) = 80, 3.1e-05 seconds used appending s1 = 14091074, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2575374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16201251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1515697, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8422483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8422483, s2 = 13180204, int(edited[s2]) = 0 s1 = 8422483, s2 = 13180204, d1 = 15, d2 = 13 Dl.O(d1) = 258967593,103871139,260081970 Dl.O(d2) = 256981911,30188859,22880476,22783305,16567647,11548940,7683511,4861613,2929559,1699288,1699287,2929555,4861609,7683504,5983512,3741509,2239896,1298917,1298918,1295464,1295463,2233948,3731422,5967113,9119481,9926445,8836361,5758107,3585830,2948879,1710188,972027,972028,1710194,2948890,4893247,4895376,2950205,2950206,2951352,1713924,1713923,2955799,3919241,2346050,2346046,3919233,4862965,2934734,1702023,967529,967532,1701971,1701968,1698944,967577,967576,966034,966033,1699023,1699537,2930064,4862465,7681664,7603735,7603736,7695086,7695085,8844866,7329868,4630387,2789463,1618332,1618329,2789451,2949050,2949051,4893570,7270099,5984407,5984405,6471365,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,2947158,2947157,2957839,4352000,4351943,2606373,1504087,1504086,1701165,967079,967078,1701158,2931420,4864833,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898633,4801189,2897317,2897320,4807289,7599212,11430564,7617926,5562406,5562407,7590315,7590314,7741017,4901553,2954186,1713060,973448,973450,1713068,2954198,4807900,4817627,2903263,2903262,4817613,7595766,6897436,6897433,6813505,6813506,6813587,4870795,2935154,2891670,1678341,1678339,2891681,4797304,4813788,4813789,4392949,4392950,6990715,7595175,7595113,4804302,2895557,2895556,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4820195,7618374,4820183,4055820,4055819,4818714,2903884,2903882,4818736,4818753,4818752,4818071,4818072,7615171,11449765,11449742,7622493,5286550,3238546,1899960,1899959,3238544,5286543,7612781,4816366,2902484,1683767,957418,539512,302338,302337,539507,957410,1683748,2902442,4816300,7612697,8729739,8577556,5573357,3457396,3457395,5573353,8577555,256034372,21155855,15200243,10484053,10484054,15200244,21155857,28373136,36870063,46749418,46749417,46749415,36870056,36870057,46749416,39433564,255780214,23401673,30829615,39433565,48563054,38647622,30071795,22691991,16490680,16490679,255191220,22691961,30071746,26945937,255325293,14354683,14354684,15723402,15719774,10883009,7195744,4533314,4533313,4539369,2728434,2728436,4539374,7202374,4537632,2727464,1580229,898327,898328,254229771,4537643,6490561,7198031,4534857,2725944,1579454,897924,506569,506568,897920,1579446,2725927,4061528,2430809,2430810,267870741,9866676,14359102,20043965,15724675,14393391,10887697,7199690,4535938,2726534,2726535,4535941,7199695,6507828,6500357,4073180,4073181,268080756,913770,913769,1606431,1606899,1502579,1502578,1604674,912565,515515,289307,254099327,254163899,254346433,7293614,4599798,3372857,1984752,1133769,912345,912346,1604365,254346167,7293599,7390673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8422483, s2 = 13180204, dlinesl.size( ) = 8 s1 = 15872124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15872124, s2 = 15878912, int(edited[s2]) = 0 s1 = 15872124, s2 = 15878912, d1 = 58, d2 = 55 Dl.O(d1) = 74669426,269410751,268688635,268447737,40353180,40353181,261281035,258349066 Dl.O(d2) = 226688110,228498155,266007637,232764880,233908560,266320748,232795235,266104538,230121446,228533123,265544774,222267904,264966420,274001337,186304107,262665666,154615835,141973680,128613834,272062120,259743940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15872124, s2 = 15878912, dlinesl.size( ) = 12 s1 = 3193359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3193359, s2 = 10211821, int(edited[s2]) = 0 s1 = 3193359, s2 = 10211821, d1 = 7, d2 = 7 Dl.O(d1) = 100397863,257048726,72847668,74045466,87648612,101615479,115656294,129542521,142861372,155443931,167084011,177589928,186877456,194969744,263227366,186877445,177589919,167083998,155443920,142861364,259487196,101615477,87648611,87648612,101615479,115656294,129542521,142861372,155443931,167084011,177589928,186877456,194969744,263227366,186877445,177589919,167083998,155443920,142861364,259487196,101615477,101615476,115656288,129542510,142861355,142861359 Dl.O(d2) = 100397863,257048726,72847668,74045466,87648612,101615479,115656294,129542521,142861372,155443931,167084011,177589928,186877456,194969744,263227366,186877445,177589919,167083998,155443920,142861364,259487196,101615477,87648611,87648612,101615479,115656294,129542521,142861372,155443931,167084011,177589928,186877456,194969744,263227366,186877445,177589919,167083998,155443920,142861364,259487196,101615477,101615476,115656288,129542510,142861355,142861359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3193359, s2 = 10211821, dlinesl.size( ) = 2 s1 = 3193359, s2 = 10211821, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3193359, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14521757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3463678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3463678, s2 = 11240348, int(edited[s2]) = 0 s1 = 3463678, s2 = 11240348, d1 = 37, d2 = 28 Dl.O(d1) = 114451841,100427180,257567584,60137271,268959977,22845691,256986479 Dl.O(d2) = 262154896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3463678, s2 = 11240348, dlinesl.size( ) = 24 s1 = 14896494, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1555913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1555913, s2 = 14187293, int(edited[s2]) = 0 s1 = 1555913, s2 = 14187293, d1 = 7, d2 = 19 Dl.O(d1) = 39381426,49309186,60711460,256973678,86499883,72903477,72903474,60166760,48772588,38852769,30268626,30268627,38852773,257570049,48772619,257570055,72903532,86499950,100458356,114483499,100458346,259690118,72903507,60166781,48772604,257570051,72903485,60166768,48772594,48772595,60166771,72903490,86499897,95195673,100458336,86499911,259426025,259426023,86499888,100458324,100458342,86499919,86499920,100458343,114483497,104639108,90475192,76616734,76616735,90475193,86499892,72903486,272076202,270487129,76616736,90475187,90475186,260232467,259690116,114483487,104638800,90474824,76616304,76616305,90474827,86499908,72903500,60166777,48772600,48772601,60166779,72903502,86499913,76616732,63536804,51758053,41487734,32608609,32608610,41487736,51758056,63536808,63536340,63536341,76616301,76617134,76617133,258923546,257691432,51502244,41287571,269010468,51757560,257748091,76616309,90474831,90474829,76616306,258988843,63536336,51757554,41487265,32608225,24944283,255236357,254901791,13091290,13091494,8921315 Dl.O(d2) = 19259744,13764079,9433586,6182531,6182532,9433588,13764081,13764077,13764075,13764076,19259742,21912709,15830320,15830321,21912713,15830354,10970328,10970327,10970434,7261438,4579527,4579526,7261434,10970425,15830531,21913021,23818808,17483683,17483682,23818804,28566770,28566768,21339564,15365454,15365456,15831879,10971406,10971407,10971410,15831890,12327509,12327508,17483676,23818796,21913014,15830523,15830524,21913016,29229507,37789748,29227739,21911591,21911592,15831102,15831101,21913845,29230558,37790489,29228395,21912059,15829817,10970007,10970008,10970322,10969799,7261035,4579269,4579270,7261036,10969802,15829486,21339577,15365467,10616386,7005862,4403777,4403776,7005857,255031041,10971402,7262090,4579898,2755454,2755456,254516085,10971418,15789859,10939388,7238415,7238417,10939392,12214220,12214219,12074564,8119440,5201603,5201602,8119437,12074555,17172891,22171650,16047803,11142893,7391079,7391077,11143014,11143038,16048014,22171988,29513315,31727339,31727338,40419064,39826820,31144438,31144367,31144368,37297584,28764390,21504470,15496626,10716943,10716942,15496621,21504461,28764376,37297567,29512900,23883559,17537051,17537050,23331495,23331494,23331508,23331507,29513477,29513476,38077911,42419096,33428287,25659900,25659901,28039975,28039976,30041000,22665828,16470847,11476074,11476073,16470843,22665820,30040985,37536085,38614905,39025655,39025656,30436074,30436073,29513168,22171878,22171877,29513163,30032721,22658098,16464600,16464599,22658096,256426113,48521490,53144440,42693890,33663197,33663196,31144694,30647590,23225760,23225761,23883545,31380592,31380600,31380601,39243253,39243252,31673035,31673034,39827032,39827033,37297609,28764417,28764416,31727342,38606521,38606520,48006500,38094971,38094972,40367800,31673171,24163535,17795772,17795773,22666554,22666555,256426707,33428307,25659925,19040868,13592073,13592072,12596317,8547311,8547310,12596315,17795634,24163362,31672995,29682964,29682963,22658028,16464539,11471719,11471718,16464494,22657983,21026937,15102834,11864345,7929230,7929229,11864341,16951839,17795743,24163500,22657969,17537124,12369041,12369042,17537126,23883642,28222193,23883661,17537150,17537151,20078981,20078980,26963219,31673182,31673211,31673212,39243258,39243259,31673057,29977934,23225161,23225160,23225860,23225859,30647669,31380535,255567341,12368934,12368933,17536976,23883467,29187052,30647247,35043454,26963223,20078985,20078986,17757170,16464504,11471696,7630421,7630424,11471704,12368932,8357886,8357885,12226017,17355112,23225171,16951875,16951878,16952269,11864719,7929470,5040704,3051725,1777768,1777767,3051722,1777769,1777771,3051731,5040712,7929481,11864389,7929260,267765912,1777742,1777743,3051672,5040600,4974499,3004659,1744991,991579,557728,557727,991577,1744989,3004651,4974485,3470239,2057898,2057899,1744977,1744978,3004628,4974443,7836575,11737507,11864323,7929332,5040633,5040630,7929326,7929585,11864549,7929610,5040779,3051760,1777787,1013537,571317,571318,1013541,1777798,3051784,5040825,7929701,11864778,10720351,10720352,254099582,2678765,1551667,1551665,2678757,4459089,7082518,10720304,15501597,12369054,8357966,5394656,5394655,7836592,7836591,11737540,16427054,16952388,11864822,11864823,16952390,23225687,23225475,16952169,16952005,11864637,11864638,11865026,16952599,21511064,22034043,22034044,23188397,16921893,16921892,23188393,21511074,19841710,19841712,16952113,16952114,17176986,12077422,8121337,5202946,3174308,1858246,1858244,3174300,5202935,7836589,11055981,11055980,7929207,7929205,11864302,16903292,11829184,11829186,16903298,14930655,14930656,20829245,27993582,28772443,28772442,22034354,15932928,15932930,16427080,16427082,16787031,16787029,23029544,30436185,30886429,29977994,22611263,16427066,16276777,16276776,22446137,29813737,38386343,33289067,29764414,22401874,16240023,16240021,18918770,18918769,25528554,33289076,28421885,21199141,15496026,10716474,10716472,15496022,21503716,16427022,11442343,7608852,4813626,4813627,7608856,11442352,16427038,17027844,23286903,30702608,23839048,23839045,23454440,23454441,30886425,37297653,29977915,22611189,22611188,29977913,30436146,30702564,30702565,26963227,26963226,35043455,29813752,22446122,16276763,16276764,16951885,16951884,23225178,28502420,21284250,15320659,10581873,254497301,4386230,267962249,15320670,21284263,28502438,29750763,22961544,21505068,15497168,15497169,12017915,8077222,8077223,12017918,16707364,22943205,23372141,29977820,22611101,16426961,11442310,7608834,7608835,4928948,2973098,1725346,1725347,2973101,4928953,7777274,11666953,16707395,22943256,23372177,17103418,16427142,15496772,15496771,21504656,28764559,37297681,30344467,22943210,254728512,255123981,15496538,268385951,255039277,10716375,15495901,10716906,7080409,7080408,10716903,15496578,15495920,15495919,15496902,10717182,10717010,10717009,10717082,7081004,7081005,10716668,7080246,4457708,4457709,7080249,10716674,15496274,10717247,7080651,4457952,2678077,1551259,1551258,2678073,4457947,7080371,7080485,10717027,10717075,7080520,4457876,2678033,2678032,4457874,7080518,4458010,2678115,1551276,881924,497661,279087,154009,154008,279086,497659,881920,1551264,2678087,4457966,4457654,2677921,1551181,881882,497643,279076,279077,497644,881886,1551177,1551176,2677908,4457632,7080116,10716446,15495984,258064069,47508476,256964120,21761169,28056684,28056683,36521880,46381398,46843505,255472316,28465612,23486402,17202551,17202552,12919028,8788281,5724117,3563795,2123788,2123789,3563797,5724120,8788287,12919036,18214388,24679884,32289805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1555913, s2 = 14187293, dlinesl.size( ) = 2 s1 = 1555913, s2 = 14187293, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1555913, Dl.E( ) = 52, 3.41e-05 seconds used appending s1 = 10195798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16210905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14865154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13385269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8454192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8454192, s2 = 10263669, int(edited[s2]) = 0 s1 = 8454192, s2 = 10263669, d1 = 20, d2 = 12 Dl.O(d1) = 272218272,86581438,72984543 Dl.O(d2) = 189945197,197590027,204099807,209531312,209531316,204099809,204099805,197590026,197590027,204099807,209531312,209531316,204099809,204099805,204099804,209531310,264881497,220699809,217646331,274236027,265482054,265300606,217646334,213987783,209531311,209531312,209531316,273929166,204099808,209531314,213987786,213987784,213987782,217646333,220699813,223297959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8454192, s2 = 10263669, dlinesl.size( ) = 2 s1 = 8454192, s2 = 10263669, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8454192, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 14039273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039273, s2 = 7809154, int(edited[s2]) = 0 s1 = 14039273, s2 = 7809154, d1 = 15, d2 = 10 Dl.O(d1) = 15269929,15269928,21238177,21260112,17558786,17558787,21270997,15309824,10573245,10573243,12084732,8126641,5206417,5206418,5206423,5206425,8126656,10535883,10535884,15268820,15286519,15281981,10547754,10547755,10547778,10547779,10547787,9676799,9676801,6956367,6956366,10547815,15282042,15270003,15270004,15302177,15302178,15266977,10534326,6947256,6947257,10534327,11515604,10544545,10544546,15278455,14224531,9778783,9778782,10533154,10533153,15265551,17162433,21269116,15309740,15309731,10573156,10573157,15309735,15303649,10567800,10567799,10555603,6961921,6961922,10555607,9252626,6059814,6059815,6944870,6944882,10530521,15262524,21232084,21231718,21231719,18938211,13502450,9238107,6050378,6050380,9238113,255266567,15284899,21250423,28471003,21258627,17159093,17159092,21236200,21236201,23440035,17166380,17166378,255170136,15177127,15177128,15698241,15698242,15266679,10534098,6947112,6947110,8619480,8112340,5197287,3170970,2620113,2620115,4373891,6961660,8386636,8110347,5196069,5196068,8110345,12062103,17158711,23434349,23604169,268112842,17154373,17154372,23260303,23260302,18942836,17150461,17150460,23427875,30859015,36792156,28295380,28295381,36792158,46678275,58053067,57732190,46382104,36522536,36522537,41992775,41992776,37435172,29173350,21863332,15790489,15790487,21863330,255258230,40724643,40724644,49453594,60855300,59967490,48575721,48575720,46382130,36522558,36522559,46382133,42067013,42067014,46382045,36522495,28057260,28057261,36522497,46382048,57732130,61484978,50006805,39988998,31312367,23823421,17486703,12329448,8329015,7061453,4445803,2670726,2670725,4445800,7061444,10689110,13455129,13457682,9203026,6025241,6025243,9203030,13457687,18884727,25488273,32458436,41301060,256601184,65115650 Dl.O(d2) = 254898976,254292094,11703540,7806620,4950974,2988240,1734878,986162,986164,986338,986473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039273, s2 = 7809154, dlinesl.size( ) = 16 s1 = 16197409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13283165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8083191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8083191, s2 = 11250973, int(edited[s2]) = 0 s1 = 8083191, s2 = 11250973, d1 = 1, d2 = 1 Dl.O(d1) = 48412895,38506922,38506898,29943012,22579799,16397155,16397156,22579800,21179969,16397178,11413688,7585039,7585038,11413686,16397176,22579819,29943036,30455379,23047561,23047562,30455382,39044685,48966059,60361340,73099727,86703220,100676187,114722355,260629918,261753586,176934295,263177884,186308009,194479497,201479256,207371201,212230094,216200311,265004254 Dl.O(d2) = 48412895,38506922,38506898,29943012,22579799,16397155,16397156,22579800,21179969,16397178,11413688,7585039,7585038,11413686,16397176,22579819,29943036,30455379,23047561,23047562,30455382,39044685,48966059,60361340,73099727,86703220,100676187,114722355,260629918,261753586,176934295,263177884,186308009,194479497,201479256,207371201,212230094,216200311,265004254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8083191, s2 = 11250973, dlinesl.size( ) = 2 s1 = 8083191, s2 = 11250973, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8083191, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11088218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088218, s2 = 9333494, int(edited[s2]) = 0 s1 = 11088218, s2 = 9333494, d1 = 12, d2 = 37 Dl.O(d1) = 60361834 Dl.O(d2) = 254886932,6204697,254689623,14417058,20106895,18752560,13351716,9123979,9123980,10963220,9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734020,3734018,5970929,5978531,9136057,255254827,25332894,18773272,13369288,13369289,18773275,25355299,33087868,257190543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088218, s2 = 9333494, dlinesl.size( ) = 2 s1 = 11088218, s2 = 9333494, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11088218, Dl.E( ) = 42, 1.22e-05 seconds used appending s1 = 6817480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817480, s2 = 14119185, int(edited[s2]) = 0 s1 = 6817480, s2 = 14119185, d1 = 53, d2 = 46 Dl.O(d1) = 258819965 Dl.O(d2) = 200909529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6817480, s2 = 14119185, dlinesl.size( ) = 36 s1 = 13558113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13558113, s2 = 1387407, int(edited[s2]) = 0 s1 = 13558113, s2 = 1387407, d1 = 45, d2 = 42 Dl.O(d1) = 87737402,74131673,61349895,61349896,74131676,85094282,85094283,99019459,113007586,99019269,85094003,254652276,58867991,58867992,60491363 Dl.O(d2) = 35270266,44663618,44663617,55523701,44662541,44662542,44663995,44662620,256759471,27165002,20250463,14531000,14531001,20250466,27165004,256759473,27166212,25491136,18887130,13459535,9204336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13558113, s2 = 1387407, dlinesl.size( ) = 2 s1 = 13558113, s2 = 1387407, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13558113, Dl.E( ) = 46, 1.31e-05 seconds used appending s1 = 15553069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14119897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119897, s2 = 14083792, int(edited[s2]) = 0 s1 = 14119897, s2 = 14083792, d1 = 25, d2 = 22 Dl.O(d1) = 166461780 Dl.O(d2) = 64575943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119897, s2 = 14083792, dlinesl.size( ) = 26 s1 = 14119137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119137, s2 = 1896527, int(edited[s2]) = 0 s1 = 14119137, s2 = 1896527, d1 = 37, d2 = 39 Dl.O(d1) = 175768142,185280411,193578874,200691443,206692342,211650476,215703543,219056050,221887657,222293626,219518155,216232765,212269712,207419362,201537422,194549341,186391566,177032344,166447058,154737551,142100448,128743033,114844220,100792886,86811848,86811849,100792889,114844224,102317012,88321197,88321196,74693617,71938966,59199608,47799708,37875661,37875662,47799711,54634631,54634630,66892188,61899991,50409538,48118649,48118651,49145216,49145215,60544543,73287674,73287611,73287610,86897580,100876704,260417670,114910704,107315294,100876822,100876823,100876805,86897707,73287732,73287733,86897562,73287596,73287597,86897565,91117893,105339070,119573187,133440077,128742277,114843091,113797746,99783647,85830422,72238174,59503016,59503015,72238170,85830413,72238176,59503018,48115116,38204218,38204219,48115118,59503024,258751635,258195868,49145229,49145228,48079278,38167550,29600525,22250735,22250734,29600521,38167545,42275946,42275947,48115064,38204178,29637515,22285783,22285784,29637520,30621561,30621560,39218829,49145401,39218836,39218835,49145414,60544565,60544656,60544638,49145313,39218749,30621505,23199737,16930613,11849476,11849477,16930619,23199749,29600259,22250536,22250537,29600265,38167265,39295592,38184945,38184947,48096652,59470979,48080180,38167222,38167221,48079288,59470221,59485482,59470778,59470779,72208700,60201443,60201442,72940150,86537997,100496403,100496402,114520041,259375526,100496544,100496545,114520189,271363214,93497244,93497772,93497194,79360641,79360636,79360635,93497187,103894376,103894375,91452007,91452006,105675380,119910665,261526765,258482659,270073211,258482659,53924746,43399292,34298866 Dl.O(d2) = 49049673,58887919,47508437,47508439,47508407,47508406,58887877,71607821,78453065,65170294,53185624,53185623,65170304,78453137,73221904,73221905,85172578,86810640,100791571,86810668,73198719,60452853,49049871,39120386,39120388,49049877,49049900,49049894,60452902,73198792,86810764,86812303,73200066,258819015,257007137,39120873,257587717,73200065,259443127,260622946,259866806,271767275,121171400,258621886,65248575,65248574,78538495,65248943,53259453,42806453,42806452,53259448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8186480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8186480, s2 = 8307473, int(edited[s2]) = 0 s1 = 8186480, s2 = 8307473, d1 = 13, d2 = 8 Dl.O(d1) = 60368358,48972612,39050928,39050929,48972615 Dl.O(d2) = 257610240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8186480, s2 = 8307473, dlinesl.size( ) = 28 s1 = 15404463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6657926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6657926, s2 = 13364448, int(edited[s2]) = 0 s1 = 6657926, s2 = 13364448, d1 = 5, d2 = 7 Dl.O(d1) = 257022415 Dl.O(d2) = 61878658,50388934,40354140,31659278,24148936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6657926, s2 = 13364448, dlinesl.size( ) = 2 s1 = 6657926, s2 = 13364448, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6657926, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 2604208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16188543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16188543, s2 = 14100712, int(edited[s2]) = 0 s1 = 16188543, s2 = 14100712, d1 = 8, d2 = 29 Dl.O(d1) = 61736358 Dl.O(d2) = 259976960,59965720,59965719,59965720,48573741,256919656,22699223,16496045,11493261,7644114,7644113,11493258,16496039,13278867,13278866,9063383,9063384,13278945,18670902,25240691,32962222,257178639,52236600,64082760,77226172,91142075,105361196,119593096,260502834,112302288,99082683,85159315,258030116,47488565,37583566,29036138,29036139,23945205,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,18885112,25483899,25483898,25147079,25147081,18885428,18885282,13458085,13458083,18885278,24544887,255958080,51037093,62665268,258814166,89372830,103469890,117601579,131401798,260468883,97758017,258622357,57684855,46337695,36481674,28020311,20853707,14952918,10286902,254481409,254481411,4278174,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5941024,3717145,2225834,2225771,2225400,254207737,1333526,2298275,3836275,2545117,1466267,829643,829641,1466262,2545105,4257264,3708206,3708204,4261481,6796290,10312680,9090597,5947051,5947048,9059538,5923369,5923370,9059544,6789445,5935540,5935539,5935519,3711288,3711290,3711384,2222497,2222496,2535561,4240785,254705355,9089550,13308214,13319646,14954443,15028159,10355912,6820071,4278266,4278267,6820075,10324031,12660076,13301604,9083246,9083245,9096181,5951080,4858273,2927726,2927727,4858275,7677970,6826205,4282441,2560359,2560360,2056139,2056140,3467635,5589429,8601440,10591545,12088564,9784622,6432871,5588653,5588652,6788774,6788777,10319032,12088322,17191412,16542083,11529051,7669496,7669494,11529044,13302315,14948396,10282594,10282593,10383575,15057879,20967565,28145932,28039545,20871539,16546655,16546654,22758670,23361177,20988070,15075218,255371251,10382054,6841658,6841656,255009197,20966068,28144342,36618199,46484645,57840772,70542719,84079819,97953751,111891471,125709256,139048348,151750686,163626063,174462932,180999685,170880557,159552566,147193388,133970513,120128466,105916373,91709054,77781366,64598504,52697796,42310788,33330451,25570575,18961000,13525072,9256234,9256235,6967855,4377504,4377505,6967858,10564251,10479412,6909332,6909331,10479409,14070807,9676726,6962517,4374356,4374358,6962524,8111755,8106790,5193987,5193985,4379363,4379362,4110084,2458497,2458498,4110089,6560676,9981770,14506031,15303265,10567445,6970044,6068479,6068478,9264921,13535095,12065046,8112723,7842917,4978509,3007393,3007394,4978514,3321938,3321936,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522098,12255131,12255133,13517440,10700496,8368795,8368794,8374555,8374554,12392324,15308459,13497446,13497447,10558142,10558140,15293468,21232226,18944488,13507860,10554157,6960915,6960914,10554156,15288878,11823872,11823871,9263431,6067329,3796208,2273887,1318611,752255,427298,427297,752252,1318603,1116287,1116286,1953984,3322049,5403290,8372182,6956756,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273122,3794922,6065308,9260558,6968311,6968313,10564874,12060299,16365507,16365506,17543830,17543828,17543838,16365500,16365499,255916969,38453425,48355388,59738972,72474120,86072304,100035614,260613309,141302238,153973334,165746576,176408871,177680721,263170513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16188543, s2 = 14100712, dlinesl.size( ) = 24 s1 = 9568824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9568824, s2 = 14717728, int(edited[s2]) = 0 s1 = 9568824, s2 = 14717728, d1 = 182, d2 = 175 Dl.O(d1) = 206831008,201708050,194759695,186639414,177313244,263142168,155056204,142410420,129035956 Dl.O(d2) = 5884546,3673997,2199128,2199127,2987490,3677118,2201237,2201235,3677110,3672362,2986970,1734128,1734127,2986966,4949009,7803885,9013346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9568824, s2 = 14717728, dlinesl.size( ) = 18 s1 = 15408404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8054047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9168256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9168256, s2 = 14537848, int(edited[s2]) = 0 s1 = 9168256, s2 = 14537848, d1 = 0, d2 = 0 Dl.O(d1) = 11472602,11472603,13437189,18859633,25459402,23330609,19795664,14179437,9747781,9747782,14173233,14173231,11772801,7859988,5007041,3027404,1761431,1003427,1003424,1394328,2409762,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12744998,14594848,18445824,13103173,13103174,18445835,24964467,32634090,26608174,19800674,19800675,26608176,26592956,19787733,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,24122269,17760625,12567867,12567868,17760236,12567604,8522446,5521141,5521142,8522450,12567609,17760243,23431381,30861651,39465856,49394407,40358874,31663564,24152846,24152847,29216340,29216341,29378242,22047734,22047735,29378245,37943592,39909326,256379804,268630854,61669669,50185319,50185318,61493187,50015320,50015323,59723500,59723499,257047406,269389710,91119955,256500718,71412224,59743341,48359610,48359609,258146251,52921175,256665843,33511865,42511351,48359601,38457805,38457807,48359607,38457873,38457789,29901023,29901024,38457792,38457795,29901048,29901047,256956797,38435233,29876190,22519122,22519123,256413179,257497738,38435227,255879564,22519119,256414343,29900999,38457764,256956789,29901033,255477087,11392415,11392414,16369970,22545628,29901027,38457798,38457832,38457800,29901029,22545630,22545631,29901030,38457801,48359603,48359630,38457840,29901072,29901071,256956803,48359576,48359577,48359632,59743325,59743323,59743324,68013883,55626653,256179630,27189775,256234597,44728641,55626646,68013877,73461603,60713653,49311622,39383880,30781914,30781913,39383879,39383882,30781915,23357153,17088891,12001358,254570105,3130664,1830160,1044555,587977,587976,1044554,1830159,3130662,5145585,8054738,8030154,254339326,8038338,8038337,11986575,8038341,8038340,5139321,3125659,1827116,1827115,3125657,1834601,1834600,3137631,3116100,1821058,1039623,585471,585473,1039627,1039539,585435,327030,327033,585444,1039557,1820919,1836050,1832460,1832462,1832419,1045736,1045738,1041845,586623,327616,180722,99289,99285,180673,180648,180643,327440,329747,182066,99894,99897,182079,330604,593004,1034006,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590256,1043607,1825005,3122388,3122389,5135272,8045110,11993474,17081316,11996700,267902793,1827260,1042969,1042970,1042956,1042957,1827245,3125827,3126994,1827992,1043341,587350,587351,1043349,1820587,1820585,1826676,1042647,587021,327786,327783,587015,1042630,1826644,3124920,5138500,8048300,11996207,255532089,30775157,39376599,49304324,60706760,270358375,101069200,113651712,113651720,260078658,87072976,73455221,60706823,60706824,73455224,87072979,101069278,115145320,113651703,113651704,259462020,123701105,123701106,115145255,109509226,109509225,123701102,115145332,101069292,87072994,87072993,101069290,115145329,115145334,113651718,101069319,87073014,73455250,258837553,101069316,115145351,113651706,113651708,101069275,271370531,101069273,87072972,87072971,260078657,259366399,85689524,260677454,258537522,127522948,260406744,127522968,113651735,99638453,99638454,101069317,115145354,129074688,129074689,142450466,153553398,142450452,142450451,153553394,142450468,129074693,115145357,115145358,127522965,261161829,140878318,127522976,260908284,72103658,257508267,257508265,72103656,85689537,99638456,113651737,127522971,137671839,123990657,123990656,260677452,73455257,73455256,87073023,101069323,271331229,99638438,260584871,271838876,137431141,260078648,260677450,259462014,60706844,49304385,49304386,60706846,73455181,81615800,87073021,101069321,95648895,259809733,123990659,127522980,113651742,99638460,99638459,113651741,123990661,271386342,87072884,73455134,60706751,49304317,49304318,60706753,68125993,55728027,44820097,35394183,35394182,44820095,55728023,68125986,73455120,60706741,60706742,59370963,47980726,38068533,38068532,47980724,269806199,85689540,81615808,68126001,68126000,259183595,109852025,123990663,123990653,259809731,81615785,81615784,95648881,258555169,68125979,81615782,81615792,95648888,258765561,59673413,268947243,29803808,22437816,22437815,256952307,44820105,256240361,20332081,14591650,255344185,256240359,269205499,59673421,48286361,38375614,29803812,29803811,27267558,20332082,16125106,11201276,11201278,255460437,29617794,38185207,44479321,44479320,55325476,256504430,73455130,60706749,49304316,39376590,39376591,30775155,254839082,20123639,14431944,14431943,20123636,27015825,35102409,38953442,30367219,22965649,16729528,11686930,11686931,16729529,11996104,8048206,8048207,11996105,17083842,22954328,16717692,14348265,11633718,7750267,6475803,6475802,9858285,11633817,11676183,7784858,4934966,4934967,7784863,11634429,7750709,4908528,4908530,7750716,8056600,8056603,12002723,17090217,16286582,16286581,22455117,17074494,17067136,11977212,8024151,8024152,11633922,11633923,16668232,17067133,17067134,23333557,29967362,22602388,16419215,11435236,7603236,7603237,11435239,16419224,22602404,16714048,16714047,22898020,29820450,22453114,22453111,16957131,16957130,16714040,16714041,16286549,11866314,11866315,16953918,16729609,16729607,22965711,30367281,30783299,39244629,30649019,23227278,16954031,11866399,7930942,7930943,11866401,16954033,15668994,15668993,21711435,16963813,16963812,16993360,11907811,7964812,7964813,7527919,7527920,8042691,267794992,8164070,12133906,254379458,17036421,22453782,16284630,11987884,254129986,11981829,11326976,7523175,7523176,7523346,4757086,4757087,7523351,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,5087729,5087730,5227275,3189072,3189074,5227282,8156962,11305491,11305490,254563604,17103090,12017511,12017510,16284083,11325369,7521679,7521680,8059542,5151653,5151652,8059539,12004453,12018374,11988615,8040186,8040187,11305487,7505918,4744562,2859367,2859368,4744563,7505923,11305500,15571526,16287180,11915548,11915552,7999663,7999665,8618214,8077366,5172300,3154039,1845582,1845580,3154044,5172320,8077401,11330621,11330623,14930233,12009924,8067307,8067303,12009914,17096635,23365696,30791552,39394098,49322187,268425498,87090105,257601528,129093763,259456304,271836692,128981939,128981938,261792833,166705759,263209327,194714915,201672728,207532427,212364676,212364677,216314100,219589557,220997502,218030715,218030712,218030713,214493106,210189181,204925528,198574928,191080772,182373932,172417020,161209243,148894786,135647118,273557416,78812027,257841299,42985780,33931738,26098448,19409468,268314833,42985778,53460732,65481345,78812026,258818467,60447955,49044076,49044077,49921978,49921977,61401753,258872683,258481299,257269127,34282834 Dl.O(d2) = 11472602,11472603,13437189,18859633,25459402,23330609,19795664,14179437,9747781,9747782,14173233,14173231,11772801,7859988,5007041,3027404,1761431,1003427,1003424,1394328,2409762,2874478,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12744998,14594848,18445824,13103173,13103174,18445835,24964467,32634090,26608174,19800674,19800675,26608176,26592956,19787733,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,24122269,17760625,12567867,12567868,17760236,12567604,8522446,5521141,5521142,8522450,12567609,17760243,23431381,30861651,39465856,49394407,40358874,31663564,24152846,24152847,29216340,29216341,29378242,22047734,22047735,29378245,37943592,39909326,256379804,268630854,61669669,50185319,50185318,61493187,50015320,50015323,59723500,59723499,257047406,269389710,91119955,256500718,71412224,59743341,48359610,48359609,258146251,52921175,256665843,33511865,42511351,48359601,38457805,38457807,48359607,38457873,38457789,29901023,29901024,38457792,38457795,29901048,29901047,256956797,38435233,29876190,22519122,22519123,256413179,257497738,38435227,255879564,22519119,256414343,29900999,38457764,256956789,29901033,255477087,11392415,11392414,16369970,22545628,29901027,38457798,38457832,38457800,29901029,22545630,22545631,29901030,38457801,48359603,48359630,38457840,29901072,29901071,256956803,48359576,48359577,48359632,59743325,59743323,59743324,68013883,55626653,256179630,27189775,256234597,44728641,55626646,68013877,73461603,60713653,49311622,39383880,30781914,30781913,39383879,39383882,30781915,23357153,17088891,12001358,254570105,3130664,1830160,1044555,587977,587976,1044554,1830159,3130662,5145585,8054738,8030154,254339326,8038338,8038337,11986575,8038341,8038340,5139321,3125659,1827116,1827115,3125657,1834601,1834600,3137631,3116100,1821058,1039623,585471,585473,1039627,1039539,585435,327030,327033,585444,1039557,1820919,1836050,1832460,1832462,1832419,1045736,1045738,1041845,586623,327616,180722,99289,99285,180673,180648,180643,327440,329747,182066,99894,99897,182079,330604,593004,1034006,1034005,1810464,1867605,3155540,5174007,4755345,2866027,1663427,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590256,1043607,1825005,3122388,3122389,5135272,8045110,11993474,17081316,11996700,267902793,1827260,1042969,1042970,1042956,1042957,1827245,3125827,3126994,1827992,1043341,587350,587351,1043349,1820587,1820585,1826676,1042647,587021,327786,327783,587015,1042630,1826644,3124920,5138500,8048300,11996207,255532089,30775157,39376599,49304324,60706760,270358375,101069200,113651712,113651720,260078658,87072976,73455221,60706823,60706824,73455224,87072979,101069278,115145320,113651703,113651704,259462020,123701105,123701106,115145255,109509226,109509225,123701102,115145332,101069292,87072994,87072993,101069290,115145329,115145334,113651718,101069319,87073014,73455250,258837553,101069316,115145351,113651706,113651708,101069275,271370531,101069273,87072972,87072971,260078657,259366399,85689524,260677454,258537522,127522948,260406744,127522968,113651735,99638453,99638454,101069317,115145354,129074688,129074689,142450466,153553398,142450452,142450451,153553394,142450468,129074693,115145357,115145358,127522965,261161829,140878318,127522976,260908284,72103658,257508267,257508265,72103656,85689537,99638456,113651737,127522971,137671839,123990657,123990656,260677452,73455257,73455256,87073023,101069323,271331229,99638438,260584871,271838876,137431141,260078648,260677450,259462014,60706844,49304385,49304386,60706846,73455181,81615800,87073021,101069321,95648895,259809733,123990659,127522980,113651742,99638460,99638459,113651741,123990661,271386342,87072884,73455134,60706751,49304317,49304318,60706753,68125993,55728027,44820097,35394183,35394182,44820095,55728023,68125986,73455120,60706741,60706742,59370963,47980726,38068533,38068532,47980724,269806199,85689540,81615808,68126001,68126000,259183595,109852025,123990663,123990653,259809731,81615785,81615784,95648881,258555169,68125979,81615782,81615792,95648888,258765561,59673413,268947243,29803808,22437816,22437815,256952307,44820105,256240361,20332081,14591650,255344185,256240359,269205499,59673421,48286361,38375614,29803812,29803811,27267558,20332082,16125106,11201276,11201278,255460437,29617794,38185207,44479321,44479320,55325476,256504430,73455130,60706749,49304316,39376590,39376591,30775155,254839082,20123639,14431944,14431943,20123636,27015825,35102409,38953442,30367219,22965649,16729528,11686930,11686931,16729529,11996104,8048206,8048207,11996105,17083842,22954328,16717692,14348265,11633718,7750267,6475803,6475802,9858285,11633817,11676183,7784858,4934966,4934967,7784863,11634429,7750709,4908528,4908530,7750716,8056600,8056603,12002723,17090217,16286582,16286581,22455117,17074494,17067136,11977212,8024151,8024152,11633922,11633923,16668232,17067133,17067134,23333557,29967362,22602388,16419215,11435236,7603236,7603237,11435239,16419224,22602404,16714048,16714047,22898020,29820450,22453114,22453111,16957131,16957130,16714040,16714041,16286549,11866314,11866315,16953918,16729609,16729607,22965711,30367281,30783299,39244629,30649019,23227278,16954031,11866399,7930942,7930943,11866401,16954033,15668994,15668993,21711435,16963813,16963812,16993360,11907811,7964812,7964813,7527919,7527920,8042691,267794992,8164070,12133906,254379458,17036421,22453782,16284630,11987884,254129986,11981829,11326976,7523175,7523176,7523346,4757086,4757087,7523351,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,5087729,5087730,5227275,3189072,3189074,5227282,8156962,11305491,11305490,254563604,17103090,12017511,12017510,16284083,11325369,7521679,7521680,8059542,5151653,5151652,8059539,12004453,12018374,11988615,8040186,8040187,11305487,7505918,4744562,2859367,2859368,4744563,7505923,11305500,15571526,16287180,11915548,11915552,7999663,7999665,8618214,8077366,5172300,3154039,1845582,1845580,3154044,5172320,8077401,11330621,11330623,14930233,12009924,8067307,8067303,12009914,17096635,23365696,30791552,39394098,49322187,268425498,87090105,257601528,129093763,259456304,271836692,128981939,128981938,261792833,166705759,263209327,194714915,201672728,207532427,212364676,212364677,216314100,219589557,220997502,218030715,218030712,218030713,214493106,210189181,204925528,198574928,191080772,182373932,172417020,161209243,148894786,135647118,273557416,78812027,257841299,42985780,33931738,26098448,19409468,268314833,42985778,53460732,65481345,78812026,258818467,60447955,49044076,49044077,49921978,49921977,61401753,258872683,258481299,257269127,34282834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9168256, s2 = 14537848, dlinesl.size( ) = 2 s1 = 9168256, s2 = 14537848, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9168256, Dl.E( ) = 2, 6.2e-06 seconds used appending s1 = 6869931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8185845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8185845, s2 = 13298780, int(edited[s2]) = 0 s1 = 8185845, s2 = 13298780, d1 = 4, d2 = 6 Dl.O(d1) = 39526895,49460531,59355493,257084360 Dl.O(d2) = 19544124,19544126,26264034,28878333,28878332,37419924,47328146,49930178,61409219,65786151,55449448,49930157,39911620,31236096,31236097,39101409,42211610,42211609,52572308,49930169,39911623,39911624,47711010,42212002,33249928,33249929,37096231,34130420,26264050,26264045,26264046,28264162,26264070,26264071,28264157,36580550,36580551,46445958,57801448,70502358,60269343,48876946,48876938,48876937,60269329,53730021,53730022,53730033,43218114,34130392,34130393,37419915,37419914,47328136,49930173,49930172,55449431,55449451,44600188,35219387,27126057,27126056,35219385,42211617,33249641,33249642,42211622,52572317,49930162,49930163,52572340,42211644,42211645,256881106,42211658,52572361,52572405,53730067,43218131,43218132,53730069,65786193,64447546,52572650,52572653,64447548,52572694,42211948,33249863,25498822,25498823,30371255,30371256,38957375,48876911,60269294,73004238,65786186,53730050,53730048,64447318,60269309,48876920,48876921,52572222,48957523,42211742,33249700,25498691,25498692,33249706,42211751,52572220,64447193,77615179,77615240,77615238,64447365,52572398,42211675,33249670,25498663,25498664,33249676,42211682,52572409,52572681,52572679,64447574,64447559,52572658,42211925,42211926,52572662,64447564,52572690,52572676,42211935,42211934,52572672,60269281,71999613,71999615,77615289,64447323,64447324,65786176,65786177,77615265,73004222,60269303,60269304,73004246,60353723,52572492,42211736,42211735,52572489,64447471,77615407,91544402,105766053,105765918,91544298,77615303,64447339,64447340,64447348,64447347,52572402,52572401,64447367,77615334,77615331,64447359,64447360,77615297,77615467,64447554,64447553,71999622,59263478,47867990,37949894,37949892,47867986,59263472,71999611,73004225,85586310,77615497,64447575,64447577,77615500,91544454,85620770,85620769,86365219,74185328,61405518,49925996,49925995,61405515,74185327,87789633,91544393,77615400,64447584,64447583,77615509,91544468,91544295,91544296,77615316,64447352,64447353,77615321,77615490,77615488,91544286,91544319,101171094,101171093,91544444,77615484,77615483,91544440,99533095,85586304,71999607,59263468,47867984,47867983,59263461,59263489,71999635,85586327,86601676,73004255,73004253,77252857,77252855,77252858,259035912,73556609,73556610,87173941,74185343,61405524,61405525,74185347,73556478,60810411,60810410,60810560,49410367,39480846,30875826,23445921,23445922,30875829,39480851,49410294,39480799,39480798,49410291,60810483,64404933,64404925,64106060,52257150,52257151,60810455,60810403,60810405,62372614,75254062,87174090,87174092,87174158,87174026,73556557,73556558,64550382,52650811,52650813,64550387,77733045,73556608,60810531,60810532,60810397,60810399,73556466,87173949,87174044,73556574,60810512,60810511,60810414,49410233,39480738,39480739,39480862,30875838,23445927,17170773,12073171,12073170,17170766,23445917,30875820,32978681,41918869,52257166,42173724,33214260,33214258,42173720,52531638,64404928,59240892,59240894,60362514,71471560,85043303,92749346,87789640,87173986,73556509,73556508,77572913,64550377,64550376,77733028,81084179,67618483,55280560,55280559,67618479,60810503,49410322,39480820,30875810,30875812,39480825,49410334,49410242,39480746,30875771,30875772,39480754,30875802,23445906,17170759,12073166,12073164,17170752,23445899,30875782,39480781,46696213,47354407,47354406,42173713,42173714,52531631,60810461,72032243,59295911,59295909,71782754,59041032,59041031,55280085,55280087,49410262,49410261,60810446,73556514,73556502,60810437,60810436,71471316,58741885,47354315,47354313,53377459,53377460,53377450,47354382,47354383,49410315,49410328,47354397,47354398,49410220,39480728,39480727,49410215,49410281,39480789,30875790,30875787,30875775,30875776,39480765,47353992,37447402,37447403,37447764,28908420,28908418,37447760,37447851,47354503,39480719,39480718,49410201,60810363,53377495,53377496,65381456,75651197,62705927,51075566,40933833,40933834,51075571,58741639,47354045,37447669,37447664,37447636,28908346,28908345,33865542,26043486,19364587,19364586,26043480,28908394,21634078,21634079,28908398,37447735,47354019,49968631,60816475,49416723,39487178,30881341,30881342,39487182,37447446,28908209,21633972,15602549,10793875,7131348,7131349,10793880,10793915,15602608,15602626,21634122,28908119,28908118,37447327,47353932,44793810,44793808,55701290,68098796,58741874,47354307,37447661,28908353,28908352,37447657,37447874,37447433,28908201,28908200,37447427,33865537,33865538,33865530,33865531,37447727,28908389,28908388,37447721,47354368,49968637,58741897,58741862,49416733,39487187,30881346,30881345,37447711,28908380,21634072,15602603,15602598,21634065,28908369,28908101,21633914,15602512,10793858,10793857,15602508,21633905,28908091,27245330,20313824,20313823,14578247,14578232,14578233,20313837,20313845,21089468,28296997,36794055,36794078,41697199,36794073,36794072,44793770,44793771,37447359,28908151,28908149,37447356,36506469,28042904,28042903,35369257,28297049,27245289,20313797,20313796,27245286,35369166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8185845, s2 = 13298780, dlinesl.size( ) = 2 s1 = 8185845, s2 = 13298780, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8185845, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 6658584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6900960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6900960, s2 = 13369106, int(edited[s2]) = 0 s1 = 6900960, s2 = 13369106, d1 = 4, d2 = 20 Dl.O(d1) = 259899672 Dl.O(d2) = 28215114,36706540,32699667,268407506,48360456,48360457,59737104,48353926,38452075,38452076,255128026,46703564,36821029,28325816,28325815,36821028,46703562,48353667,48353444,48353445,38451640,36706621,28215169,28215168,29894727,29894729,22546513,22546514,29901954,23025040,23024898,16783383,16783382,23024896,30430695,29901952,22546511,16370712,16370711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6900960, s2 = 13369106, dlinesl.size( ) = 2 s1 = 6900960, s2 = 13369106, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6900960, Dl.E( ) = 50, 3.79e-05 seconds used appending s1 = 2270901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6659242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6659242, s2 = 14692269, int(edited[s2]) = 0 s1 = 6659242, s2 = 14692269, d1 = 22, d2 = 20 Dl.O(d1) = 257035373 Dl.O(d2) = 254830173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6659242, s2 = 14692269, dlinesl.size( ) = 2 s1 = 6659242, s2 = 14692269, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6659242, Dl.E( ) = 68, 2.29e-05 seconds used appending s1 = 6612278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16182384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16221723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16221723, s2 = 2273389, int(edited[s2]) = 0 s1 = 16221723, s2 = 2273389, d1 = 1, d2 = 1 Dl.O(d1) = 46905146,46588668,36701927,28210834,21017528,15095305,10411103,10411104,15095307,21017531,21017529,21017530,28210836,36701928,46588669,57965073,70683304,84236202,98131047,112090974,101224953,87223905,73601651,60851965,49450139,39518081,30909077,23473594,17192140,12088994,12088995,17192142,23473597,30909084,30909076,255136700,48954566,255521786,53022066,42581682,33564650,33564648,35186122,28806993,28806992,255468865,11278341,7486701,254355337 Dl.O(d2) = 46905146,46588668,36701927,28210834,21017528,15095305,10411103,10411104,15095307,21017531,21017529,21017530,28210836,36701928,46588669,57965073,70683304,84236202,98131047,112090974,101224953,87223905,73601651,60851965,49450139,39518081,30909077,23473594,17192140,12088994,12088995,17192142,23473597,30909084,30909076,255136700,48954566,255521786,53022066,42581682,33564650,33564648,35186122,28806993,28806992,255468865,11278341,7486701,254355337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16221723, s2 = 2273389, dlinesl.size( ) = 2 s1 = 16221723, s2 = 2273389, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16221723, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14877255, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11147658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11147658, s2 = 9160386, int(edited[s2]) = 0 s1 = 11147658, s2 = 9160386, d1 = 8, d2 = 21 Dl.O(d1) = 54620347,43878006,42256635,33277019,33277020,26619255,26619254,256540865,40272336,31585233,24079355,24079354,31585229 Dl.O(d2) = 11184242,16101707,22236828,23654830,17337833,17337832,23654829,31142143,39824771,40031467,50051636,61531035,74308614,87912466,269081046,101886820,115933076,115933077,129832826,259328498,113485712,99475230,99475229,113485711,113485729,113485730,113485722,99475234,85528860,85528861,99475235,113485724,127355137,127355138,127355139,140711134,153393045,165196639,175904861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11147658, s2 = 9160386, dlinesl.size( ) = 2 s1 = 11147658, s2 = 9160386, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11147658, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 926853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 926853, s2 = 8461765, int(edited[s2]) = 0 s1 = 926853, s2 = 8461765, d1 = 3, d2 = 7 Dl.O(d1) = 23548806,17240970,12124054,12124056,257043769 Dl.O(d2) = 101546587,115582592,115582585,260694301,129467641,261812085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 926853, s2 = 8461765, dlinesl.size( ) = 2 s1 = 926853, s2 = 8461765, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 926853, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 9395835, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14511126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14511126, s2 = 11231249, int(edited[s2]) = 0 s1 = 14511126, s2 = 11231249, d1 = 0, d2 = 3 Dl.O(d1) = 36455148,36455149,28856478,21668935,15632555,15632556,18145555,23623279,31108906,257050213,61285272,74063979,87667287,101634688,115675806,129561926,261818039,155461811,167100229,177603766,186889056,194979360,201903276,207729360,212533272,210784378,205637512,199415970,263480664,262635952,137653359,137653361,137653362,262100127,150650664,137653358,123971831,109832348,95628483,81595220,68105921,55708876,44801831,35377189,255381608,16202304,254966542,24569034,32152518,32329367,255318070,35323504,27247571,22888402,16659639,11627137,11627136,16659637,11767022,11767021,11766940,7856115,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,2471457,2471458,4131629,254697593,10032031,6593123,6593122,10032028,10034057,10034056,255343339,27252460,25944101,19280790,13782925,9449877,9449876,13782924,19280789,25944099,33751400,42782035,53233125,42782038,42782037,50493626,40457688,40457687,47317546,37409056,28867897,21593247,21593246,28867896,37409054,47317543,58706488,71437996,85010859,98936451,112925869,126780345,272173866,152825126,159681614,261536982,120290146 Dl.O(d2) = 257886460,257218543,259052821,106089776,120290145,134121251,147333411,159681616,170996764,181102083,263732515,197608822,204117373,209547794,214002977,217660128,220712039,223309114,225553661,223709886,221204660,218279704,214798499,210568473,205390605,263792317,183126834,173280832,162186758,149979160,261540889,123014395,123014394,271147565,80392657,66962386,54703116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14511126, s2 = 11231249, dlinesl.size( ) = 2 s1 = 14511126, s2 = 11231249, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14511126, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 8274157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14684885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14684885, s2 = 6716446, int(edited[s2]) = 0 s1 = 14684885, s2 = 6716446, d1 = 65, d2 = 92 Dl.O(d1) = 50887806,50887805,50887807,269915141,103242296,103524024,103524025,117657251,131462322,144688924 Dl.O(d2) = 167364532,177861361,187133878,264565421,187133877,262814601,155730183,262343079,155730187,143176195,260720361,101899090,87925101,74322004,257653455,40048382,31367939,23873185,17528895,12362845,8353644,5391923,254594845,255176777,17528896,23873188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14684885, s2 = 6716446, dlinesl.size( ) = 28 s1 = 11208006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208006, s2 = 2284091, int(edited[s2]) = 0 s1 = 11208006, s2 = 2284091, d1 = 1, d2 = 1 Dl.O(d1) = 75631063,62686450,62686451,62686455,257129057,32136364,24554944,18117635,12847022,8736368,5687643,5687642,8736366,12847019,255612517,12847015,255218353,22000175,256012112,38013353,30788580,30788581,39391039,41447304,256411570,24924288,24924287,32581078,32138314,24556648,255523848,24556388,32137990,40915613,32139199,24557435,24557436,32139201,40914135,32136355,254847902,25246264,18675777,18675776,25246263,32137912,39531037,30920491,23483146,17199828,12094958,12094957,17199825,23483142,30920484,39531023,41901260,51058609,40917606,40917605,51056836,40915112,40915113,51056838,40915715,40915714,42760636,33730725,25923758,19261899,13766250,9435793,6184278,6184277,9435790,13766239,19261880,25923724,24188682,24188681,23449354,23449353,30880368,35147963,33169989,25427558,18834058,13418969,9174865,9174868,13418980,18834082,25427599,33170033,37460177,30217627,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165588,40196605,36636392,36636394,46503639,41314306,41314309,46392424,46392420,40218212,40218213,39434043,33337253,30652748,23231284,16958469,11870579,11870580,16958472,22416069,16250927,11298128,7501039,7501036,11298112,16250902,16138509,11210849,7438533,4700254,4354868,4354871,6931222,10510950,15236765,21202202,28425656,36924239,46802359,58169692,70883721,84441014,98350792,112333940,98350789,98350790,101741425,87768406,74163641,61382839,49902186,256848020,31201106,256309066,58660993,71395494,71395495,84969897,260539503,140083902,152774828,262159168,175369131,184917090,193255306,200413099,206460067,211460893,264720810,221779419,224223507,226341437,228186259,274507496,231245014,232535357,232845863,265587056,230183253,228601940,226804096,224743437,222370379,219606424,216334810,263597304,207568282,201721395,194774793,186656339,177332819,166777855,259455192,142436516,260071676,166777857,155080763,155080762,260071676,166777857,155080763,258831080,269370528,101060703,115135150,115135149,257019856,73447658,60699809,49298615,39372036,255176576,267844672,8044762,5134807,3121978,1824729,1824727,3121970,5134791,8044742,5162355,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5116630,3107843,3107840,1843393,1843391,3123811,5137186,5142623,3128299,3128298,5130618,5173330,3154941,3154943,5173338,5118217,3109208,3109209,5118561,3126673,1827781,1823502,1040869,1040867,1823494,3108036,5116885,5116889,3119805,3119806,3116104,3108759,1816625,1816624,1049622,1049621,1049910,1049908,1839748,3145203,3191541,3191542,5151896,5117921,5117922,5146976,5125682,3114738,3114739,3191228,267840729,254824159,11974794,8063608,5233400,5233399,5233409,3194011,3194009,5177946,7795425,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2984538,2984539,4944994,7797854,11690904,254805020,6476170,4058300 Dl.O(d2) = 75631063,62686450,62686451,62686455,257129057,32136364,24554944,18117635,12847022,8736368,5687643,5687642,8736366,12847019,255612517,12847015,255218353,22000175,256012112,38013353,30788580,30788581,39391039,41447304,256411570,24924288,24924287,32581078,32138314,24556648,255523848,24556388,32137990,40915613,32139199,24557435,24557436,32139201,40914135,32136355,254847902,25246264,18675777,18675776,25246263,32137912,39531037,30920491,23483146,17199828,12094958,12094957,17199825,23483142,30920484,39531023,41901260,51058609,40917606,40917605,51056836,40915112,40915113,51056838,40915715,40915714,42760636,33730725,25923758,19261899,13766250,9435793,6184278,6184277,9435790,13766239,19261880,25923724,24188682,24188681,23449354,23449353,30880368,35147963,33169989,25427558,18834058,13418969,9174865,9174868,13418980,18834082,25427599,33170033,37460177,30217627,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,12852818,18125870,18125871,24565852,21971235,15877492,11006024,11006028,15877440,15877442,21971153,29297863,37867086,37867244,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165588,40196605,36636392,36636394,46503639,41314306,41314309,46392424,46392420,40218212,40218213,39434043,33337253,30652748,23231284,16958469,11870579,11870580,16958472,22416069,16250927,11298128,7501039,7501036,11298112,16250902,16138509,11210849,7438533,4700254,4354868,4354871,6931222,10510950,15236765,21202202,28425656,36924239,46802359,58169692,70883721,84441014,98350792,112333940,98350789,98350790,101741425,87768406,74163641,61382839,49902186,256848020,31201106,256309066,58660993,71395494,71395495,84969897,260539503,140083902,152774828,262159168,175369131,184917090,193255306,200413099,206460067,211460893,264720810,221779419,224223507,226341437,228186259,274507496,231245014,232535357,232845863,265587056,230183253,228601940,226804096,224743437,222370379,219606424,216334810,263597304,207568282,201721395,194774793,186656339,177332819,166777855,259455192,142436516,260071676,166777857,155080763,155080762,260071676,166777857,155080763,258831080,269370528,101060703,115135150,115135149,257019856,73447658,60699809,49298615,39372036,255176576,267844672,8044762,5134807,3121978,1824729,1824727,3121970,5134791,8044742,5162355,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5116630,3107843,3107840,1843393,1843391,3123811,5137186,5142623,3128299,3128298,5130618,5173330,3154941,3154943,5173338,5118217,3109208,3109209,5118561,3126673,1827781,1823502,1040869,1040867,1823494,3108036,5116885,5116889,3119805,3119806,3116104,3108759,1816625,1816624,1049622,1049621,1049910,1049908,1839748,3145203,3191541,3191542,5151896,5117921,5117922,5146976,5125682,3114738,3114739,3191228,267840729,254824159,11974794,8063608,5233400,5233399,5233409,3194011,3194009,5177946,7795425,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2984538,2984539,4944994,7797854,11690904,254805020,6476170,4058300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208006, s2 = 2284091, dlinesl.size( ) = 2 s1 = 11208006, s2 = 2284091, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11208006, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14517545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11135714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14514661, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2286157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15562345, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6823381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15653825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2292307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2292307, s2 = 10429772, int(edited[s2]) = 0 s1 = 2292307, s2 = 10429772, d1 = 0, d2 = 48 Dl.O(d1) = 61520305 Dl.O(d2) = 266025691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2292307, s2 = 10429772, dlinesl.size( ) = 42 s1 = 16051025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16051025, s2 = 6897174, int(edited[s2]) = 0 s1 = 16051025, s2 = 6897174, d1 = 6, d2 = 6 Dl.O(d1) = 61987354,74783690,88415339,88415348,102415878,116511472,260155151,258916067,61987359,257100989,40459464,50495378,61987358,257100989,31765009,255592797,12659037,8594868,5584562,3464792,3464790,4245302,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588617,5588612,8600423,12664861,17881052,23620350,17305864,17305867,23620356,23339040,23339041,30761896,34978228,26898825,26898826,34978230,37491363,28948730,21669060,15632644,15632643,21669057,28948723,37491352,38383679,34669099,34669100,29811526,29811522,38204225,29637547,22285808,22285814,21157832,18151426,12871280,8753154,8753155,12871283,18151432,24598466,30551414,26663443,26663445,34655062,31533237,24031087,21874614,15799748,10947304,10947301,15799740,15953757,16132726,11206866,11206865,16132721,16246060,22409400,29186487,30704953,23288860,17029470,11944351,11944352,17029472,15371766,15371767,21347195,28576106,30530908,255131706,59069066,47669355,37747460,29186364,29186363,37747459,47669354,58595823,47205460,37298801,37298800,44580496,49775688,49775689,61254432,258239474,115644526,260698652,113774515,99760467,85806633,72212594,59475107,256936641,38172751,38172752,29605904,22255801,16116850,11195209,7428195,255082789,22255811,29605910,38172757,48085003,59475110,72212595,85806636,99760470,113774518,127642581,140990985,262711565,185585157,180614946,170477046,159134604,261956199,133504970,119633327,105397265,91175525,77257097,64110536,52261738,41923442,32983169,25259840,18688295,13295000,9076988,5936183,5936184,9076990,13295003,18664238,13272545,9057402,5921661,5921660,9057401,13272543,10358032,6822095,4279643,4279642,5931016,5931015,9070093,12662242,8597906,8597905,9096126,5951037,5926601,5926600,9063859,9077072,5936240,5936243,8133841,5591126,5591125,7272496,7272471,7272472,10986561,10362411,6825902,6293366,6293367,8340120,5383122,5383121,8340117,255175369,17507086,23849480,31342717,40022538,50042637,258883167,258883169,271423908,102511830,88503743,259860382,24322747,255206885,12708342,17935303,24322748,24322802,24322803,17936716,12709274,12708643,12708642,12709115,17936514,17935258,17935259,21183856,21183855,16812261,16446609,11459077,9322377,6106623,254658715,13614482,255680873,33468293,33645960,25842729,19188787,13704294,13704296,19188792,25842732,21179197,18500676,18500677,23265787,17002016,17002014,23265782,30003893,22634180,22634179,29207043,21893612,15815827,15815829,17002211,15801579,15801578,21877005,29188886,25842624,23265731,23265733,30682461,23265764,23265763,30682508,39279454,42675068,33645825,33645826,25842686,21877190,17002079,17002078,23265866,30682653,37750484,32236350,24638627,18182837,18182834,24638618,32236339,41028812,51185280,42707069,33677023,28404734,256303955,38573965,48348190,38445989,29889595,22535204,22535203,29889593,37289521,37689078,29126998,29126995,37689070,255988380,71762426,65140448,53156141,42706317,42706316,49914018,257657432,72468193,78421914,65140531,53156308,42706544,33676852,33676851,42413955,43020993,43020972,33963338,33963339,43020869,33963238,26125037,26125038,33963241,42707683,33677765,25871739,25871740,33677767,42706686,37641259,29090720,29090721,37641260,47547645,58488205,47110225,47110224,38446109,38446108,48348316,59732443,72468206,73558727,60812459,60812460,255965908,53155792,53155791,52041574,47814052,37892353,29324383,29324382,37892348,47814044,59212470,64614704,65140330,64614699,64614700,59212820,48405381,48405382,254814074,42460559,42460558,52864400,64783555,77977663,91902092,78910367,65575304,255061124,34013773,26171958,19471007,13935584,13935585,19471012,26171968,34013793,43071614,34013788,34013789,43071615,53550478,49212017,39285581,39285582,42812396,33779785,25969527,25969526,24322635,17935221,17935220,24322632,25694734,25694736,24322350,17935023,17935021,24322341,31841899,26295102,19572889,19572890,26295091,26295092,29472730,25106008,18556801,18556800,19302949,19302948,18556812,18556814,24322497,31842088,25969490,19302915,19302917,25969500,26295138,24464592,18045174,18045173,24464570,255716848,50899673,41727809,32807480,25105325,24322087,18556419,13185460,13185462,18556347,18556229,13185332,8988055,8988053,13184927,15484326,21489825,24322439,17935086,12708217,8634325,5615077,5615076,254879483,17935077,13185808,13185809,18556970,255603574,24322158,31841734,256619185,32807251,29305174,29305173,256915185,59198188,71937627,85525596,99472117,260572857,126580922,112716728,98721474,258828710,71225737,257597960,47125679,256868621,28701527,28701529,37227648,28701539,21449248,15452146,10683912,10683913,15452148,21449223,15452131,15452130,21449219,28701505,21449269,15452217,15452216,18982878,18982879,15452118,10683900,7057766,7057765,10683896,15452114,21449193,25592299,25592298,32172944,268129130,18142471,12865193,12865194,18142474,24586888,32172946,40952510,51095654,62727618,75674134,89437661,103534007,117666576,131470976,144696997,157098378,168546877,178849715,187945523,195874728,202664019,208368343,208060130,202286632,195419389,187387710,178158859,167701618,156097282,261858417,130235558,260745453,102307488,88311963,74684189,61890607,50400018,40364723,31670028,24160416,256039053,40364731,44639029,44639031,40364720,40364719,50400014,61890601,258909081,61890600,74684185,88311959,102307485,116399459 Dl.O(d2) = 61987354,74783690,88415339,88415348,102415878,116511472,260155151,258916067,61987359,257100989,40459464,50495378,61987358,257100989,31765009,255592797,12659037,8594868,5584562,3464792,3464790,4245302,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588617,5588612,8600423,12664861,17881052,23620350,17305864,17305867,23620356,23339040,23339041,30761896,34978228,26898825,26898826,34978230,37491363,28948730,21669060,15632644,15632643,21669057,28948723,37491352,38383679,34669099,34669100,29811526,29811522,38204225,29637547,22285808,22285814,21157832,18151426,12871280,8753154,8753155,12871283,18151432,24598466,30551414,26663443,26663445,34655062,31533237,24031087,21874614,15799748,10947304,10947301,15799740,15953757,16132726,11206866,11206865,16132721,16246060,22409400,29186487,30704953,23288860,17029470,11944351,11944352,17029472,15371766,15371767,21347195,28576106,30530908,255131706,59069066,47669355,37747460,29186364,29186363,37747459,47669354,58595823,47205460,37298801,37298800,44580496,49775688,49775689,61254432,258239474,115644526,260698652,113774515,99760467,85806633,72212594,59475107,256936641,38172751,38172752,29605904,22255801,16116850,11195209,7428195,255082789,22255811,29605910,38172757,48085003,59475110,72212595,85806636,99760470,113774518,127642581,140990985,262711565,185585157,180614946,170477046,159134604,261956199,133504970,119633327,105397265,91175525,77257097,64110536,52261738,41923442,32983169,25259840,18688295,13295000,9076988,5936183,5936184,9076990,13295003,18664238,13272545,9057402,5921661,5921660,9057401,13272543,10358032,6822095,4279643,4279642,5931016,5931015,9070093,12662242,8597906,8597905,9096126,5951037,5926601,5926600,9063859,9077072,5936240,5936243,8133841,5591126,5591125,7272496,7272471,7272472,10986561,10362411,6825902,6293366,6293367,8340120,5383122,5383121,8340117,255175369,17507086,23849480,31342717,40022538,50042637,258883167,258883169,271423908,102511830,88503743,259860382,24322747,255206885,12708342,17935303,24322748,24322802,24322803,17936716,12709274,12708643,12708642,12709115,17936514,17935258,17935259,21183856,21183855,16812261,16446609,11459077,9322377,6106623,254658715,13614482,255680873,33468293,33645960,25842729,19188787,13704294,13704296,19188792,25842732,21179197,18500676,18500677,23265787,17002016,17002014,23265782,30003893,22634180,22634179,29207043,21893612,15815827,15815829,17002211,15801579,15801578,21877005,29188886,25842624,23265731,23265733,30682461,23265764,23265763,30682508,39279454,42675068,33645825,33645826,25842686,21877190,17002079,17002078,23265866,30682653,37750484,32236350,24638627,18182837,18182834,24638618,32236339,41028812,51185280,42707069,33677023,28404734,256303955,38573965,48348190,38445989,29889595,22535204,22535203,29889593,37289521,37689078,29126998,29126995,37689070,255988380,71762426,65140448,53156141,42706317,42706316,49914018,257657432,72468193,78421914,65140531,53156308,42706544,33676852,33676851,42413955,43020993,43020972,33963338,33963339,43020869,33963238,26125037,26125038,33963241,42707683,33677765,25871739,25871740,33677767,42706686,37641259,29090720,29090721,37641260,47547645,58488205,47110225,47110224,38446109,38446108,48348316,59732443,72468206,73558727,60812459,60812460,255965908,53155792,53155791,52041574,47814052,37892353,29324383,29324382,37892348,47814044,59212470,64614704,65140330,64614699,64614700,59212820,48405381,48405382,254814074,42460559,42460558,52864400,64783555,77977663,91902092,78910367,65575304,255061124,34013773,26171958,19471007,13935584,13935585,19471012,26171968,34013793,43071614,34013788,34013789,43071615,53550478,49212017,39285581,39285582,42812396,33779785,25969527,25969526,24322635,17935221,17935220,24322632,25694734,25694736,24322350,17935023,17935021,24322341,31841899,26295102,19572889,19572890,26295091,26295092,29472730,25106008,18556801,18556800,19302949,19302948,18556812,18556814,24322497,31842088,25969490,19302915,19302917,25969500,26295138,24464592,18045174,18045173,24464570,255716848,50899673,41727809,32807480,25105325,24322087,18556419,13185460,13185462,18556347,18556229,13185332,8988055,8988053,13184927,15484326,21489825,24322439,17935086,12708217,8634325,5615077,5615076,254879483,17935077,13185808,13185809,18556970,255603574,24322158,31841734,256619185,32807251,29305174,29305173,256915185,59198188,71937627,85525596,99472117,260572857,126580922,112716728,98721474,258828710,71225737,257597960,47125679,256868621,28701527,28701529,37227648,28701539,21449248,15452146,10683912,10683913,15452148,21449223,15452131,15452130,21449219,28701505,21449269,15452217,15452216,18982878,18982879,15452118,10683900,7057766,7057765,10683896,15452114,21449193,25592299,25592298,32172944,268129130,18142471,12865193,12865194,18142474,24586888,32172946,40952510,51095654,62727618,75674134,89437661,103534007,117666576,131470976,144696997,157098378,168546877,178849715,187945523,195874728,202664019,208368343,208060130,202286632,195419389,187387710,178158859,167701618,156097282,261858417,130235558,260745453,102307488,88311963,74684189,61890607,50400018,40364723,31670028,24160416,256039053,40364731,44639029,44639031,40364720,40364719,50400014,61890601,258909081,61890600,74684185,88311959,102307485,116399459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16051025, s2 = 6897174, dlinesl.size( ) = 2 s1 = 16051025, s2 = 6897174, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16051025, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 2631275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2631275, s2 = 14294959, int(edited[s2]) = 0 s1 = 2631275, s2 = 14294959, d1 = 33, d2 = 146 Dl.O(d1) = 74303395,74303392 Dl.O(d2) = 258435104,91318983,81262547,81262546,95322261,93463031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2631275, s2 = 14294959, dlinesl.size( ) = 68 s1 = 6491609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2293440, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2632350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022298, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7849189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8027928, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2636149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2636149, s2 = 8788603, int(edited[s2]) = 0 s1 = 2636149, s2 = 8788603, d1 = 41, d2 = 114 Dl.O(d1) = 74379979 Dl.O(d2) = 238168626,237443911,237443910,238168623,266792955,239994366,240513576,267001521,266905140,239994371,240513583,266954964,239434444,266730268,237443920,237443917,236645498,236645497,237443916,237443919,238168631,266792959,238828260,239434450,239994382,240513590,239994381,239434444,274830801,238828250,266662036,237443914,237443926,236645510,235769662,266325584,232592360,232592359,233751757,234807351,235769654,235769664,235769663,266508914,235769654,235769664,266325586,232592360,265988080,265552924,215706826,264486434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2636149, s2 = 8788603, dlinesl.size( ) = 12 s1 = 15201997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15201997, s2 = 9699536, int(edited[s2]) = 0 s1 = 15201997, s2 = 9699536, d1 = 0, d2 = 0 Dl.O(d1) = 160335285,160335288,148091683,148091684,160335289,168451855,157005015,157005014,262333990,261252864,115816809,101771241,101771240,115816807,129715495,143046100,155596063,167227664,167227663,155807111,143258468,129929918,259647406,88008712,74403330,61624563,50142434,40121226,31441735,23949904,23949903,31441734,257076419,61624562,61624567,50142441,255656640,31441741,23949906,254916784,40121231,50142439,61624564,74403333,88008716,101984245,116031181,129929921,118293275,104139516,258403690,63201688,51492925,51492924,51492926,63201690,76211345,90014847,104139518,118293277,132107450,134804253,121007598,106754705,106754706,112555309,112555408,112555407,126424567,126212317,259918032,98561793,112352314,98369988,84460712,70904344,58191569,257886227,43902491,34629977,26640014,255315171,14203744,19827936,14204089,14204088,255315165,9764233,6419915,6419913,9764230,14203715,19827892,26639976,34629927,43902427,54645607,43902425,43902426,54645609,66902836,80330086,94384658,255795530,72322202,59587724,48201252,254486716,38153218,48066076,59457246,55302089,47411570,37504035,28960924,28960923,37504033,47411567,58798461,71527493,81106503,95165184,258635598,91735189,88192903,74577329,270288529,46955620,58322743,71038249,65186887,53201828,256678211,25916976,19255027,255694023,268119694,15078663,10400484,10400483,15078659,17883655,24261228,31773309,40468071,33011860,28321355,21111129,15165055,15165056,15167096,15167097,21113220,28323137,28323239,28323238,28320866,21110576,15164564,15164566,10459137,10458091,6894438,6894436,10459468,15166394,15166703,10459824,6894676,4327950,4327949,6894670,10459801,12670258,8604442,8392409,8392411,12416745,14471363,9956844,9956845,14471366,20170134,19076825,19076824,21110153,21109992,15164047,10457703,6893313,6893309,254593416,21109973,18720368,13326104,10457748,10457749,10460721,10460720,10460788,6895341,4328331,4328330,6893456,4328010,2589329,2589330,4328270,6895241,254723762,21113638,15167621,10460516,10460517,15167622,21113640,28323464,28494659,36992119,39452757,30848716,23418425,17142257,12047537,12047538,17142259,23418427,21214482,21214481,28439859,36931589,28452180,28419194,28419195,36917074,46794893,255540574,32315177,32315176,41128339,47397533,53159444 Dl.O(d2) = 160335285,160335288,148091683,148091684,160335289,168451855,157005015,157005014,262333990,261252864,115816809,101771241,101771240,115816807,129715495,143046100,155596063,167227664,167227663,155807111,143258468,129929918,259647406,88008712,74403330,61624563,50142434,40121226,31441735,23949904,23949903,31441734,257076419,61624562,61624567,50142441,255656640,31441741,23949906,254916784,40121231,50142439,61624564,74403333,88008716,101984245,116031181,129929921,118293275,104139516,258403690,63201688,51492925,51492924,51492926,63201690,76211345,90014847,104139518,118293277,132107450,134804253,121007598,106754705,106754706,112555309,112555408,112555407,126424567,126212317,259918032,98561793,112352314,98369988,84460712,70904344,58191569,257886227,43902491,34629977,26640014,255315171,14203744,19827936,14204089,14204088,255315165,9764233,6419915,6419913,9764230,14203715,19827892,26639976,34629927,43902427,54645607,43902425,43902426,54645609,66902836,80330086,94384658,255795530,72322202,59587724,48201252,254486716,38153218,48066076,59457246,55302089,47411570,37504035,28960924,28960923,37504033,47411567,58798461,71527493,81106503,95165184,258635598,91735189,88192903,74577329,270288529,46955620,58322743,71038249,65186887,53201828,256678211,25916976,19255027,255694023,268119694,15078663,10400484,10400483,15078659,17883655,24261228,31773309,40468071,33011860,28321355,21111129,15165055,15165056,15167096,15167097,21113220,28323137,28323239,28323238,28320866,21110576,15164564,15164566,10459137,10458091,6894438,6894436,10459468,15166394,15166703,10459824,6894676,4327950,4327949,6894670,10459801,12670258,8604442,8392409,8392411,12416745,14471363,9956844,9956845,14471366,20170134,19076825,19076824,21110153,21109992,15164047,10457703,6893313,6893309,254593416,21109973,18720368,13326104,10457748,10457749,10460721,10460720,10460788,6895341,4328331,4328330,6893456,4328010,2589329,2589330,4328270,6895241,254723762,21113638,15167621,10460516,10460517,15167622,21113640,28323464,28494659,36992119,39452757,30848716,23418425,17142257,12047537,12047538,17142259,23418427,21214482,21214481,28439859,36931589,28452180,28419194,28419195,36917074,46794893,255540574,32315177,32315176,41128339,47397533,53159444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15201997, s2 = 9699536, dlinesl.size( ) = 2 s1 = 15201997, s2 = 9699536, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15201997, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 6824773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2947460, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15677668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14918166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6664040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6664040, s2 = 14916176, int(edited[s2]) = 0 s1 = 6664040, s2 = 14916176, d1 = 23, d2 = 77 Dl.O(d1) = 257085031 Dl.O(d2) = 38489650,29929034,29929033,30560482,23143478,22568893,16388024,16388025,22568767,16387938,11405791,11405790,16387936,16388093,11405889,11405890,16388095,22079074,22079073,29409619,37973173,39156287,31264725,23779434,23779435,29929186,29929187,23142290,16882146,11811682,11808383,7887356,7887355,11808381,16252083,16252084,15996338,11811305,7889677,5010835,3029847,3029846,5010833,3030746,1763447,1763448,3028852,3028847,5009220,7501831,11299250,7501844,4742027,2857868,1658622,1658623,2857872,4491991,4491992,7135007,7890126,5011160,3030057,3030056,5011153,5190333,3166820,1853908,1853907,3166816,5190326,7887474,11808532,16252120,11299015,7501661,4741927,2857813,1658590,1658591,2857818,4741937,7501680,11299044,16252155,11808170,7887187,5009167,5009168,5012096,7891209,10798866,10798863,255416463,28914904,29782956,29782957,23138666,16878404,16878403,18841020,13423602,9177855,9177856,13423604,16878334,16878335,23138607,28560177,255812836,36742131,36742132,38844762,46939878,37061173,28560155,21333939,15360827,10612614,7002910,4401473,2637852,2637853,4401475,7002914,10612620,15360836,21333960,28560185,37061202,36742460,36742422,36742424,38532001,29966073,22601241,22601239,16798040,16798042,21036735,23043651,23043650,30451813,39041241,36742282,28246481,21046576,21046575,17662846,17662847,24009371,31509083,38531994,46630153,39041252,36728095,28234187,21036742,21036740,28234185,29966112,23039987,16795197,16795198,21046546,28246428,30451870,30451869,39041277,36742083,28246301,21046445,15117337,10427256,10427257,6874804,4315678,2581195,1487105,1487104,2581191,4315663,4315661,6874777,10427286,15117397,21046528,28246414,36742219,37061195,28560172,28560171,37061194,36742358,28246550,28246551,36742332,36742333,36757373,28262216,21060271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6664040, s2 = 14916176, dlinesl.size( ) = 14 s1 = 2305125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3249115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3249115, s2 = 13199741, int(edited[s2]) = 0 s1 = 3249115, s2 = 13199741, d1 = 23, d2 = 26 Dl.O(d1) = 102185661,256965400 Dl.O(d2) = 5877652,254908039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3249115, s2 = 13199741, dlinesl.size( ) = 2 s1 = 3249115, s2 = 13199741, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3249115, Dl.E( ) = 36, 2.81e-05 seconds used appending s1 = 6796005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796005, s2 = 7704260, int(edited[s2]) = 0 s1 = 6796005, s2 = 7704260, d1 = 49, d2 = 51 Dl.O(d1) = 258619714 Dl.O(d2) = 273158414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6796005, s2 = 7704260, dlinesl.size( ) = 2 s1 = 6796005, s2 = 7704260, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6796005, Dl.E( ) = 92, 3.6e-05 seconds used appending s1 = 6664855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 700369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1500751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1500751, s2 = 1263042, int(edited[s2]) = 0 s1 = 1500751, s2 = 1263042, d1 = 26, d2 = 0 Dl.O(d1) = 38312335,38312336,29906651,29906652,256957257,47665748,258913757 Dl.O(d2) = 31726008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1500751, s2 = 1263042, dlinesl.size( ) = 32 s1 = 16027159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16027159, s2 = 14195453, int(edited[s2]) = 0 s1 = 16027159, s2 = 14195453, d1 = 1, d2 = 1 Dl.O(d1) = 226927062,226927064,265410796,219790291,216543757,212628500,207836762,202022956,195110372,187031157,177757581,167265291,155636208,155636209,155952157,143413439,260654766,102119353,102119352,102119351,88131167,74518844,61737183,257002552,31553670,31553669,25487232,25487234,33236339,41164508,32349622,24733932,24733934,32349625,41164512,33278249,33278248,33278261,255702508,24741098,24741099,255702510,27258989,35384301,41173040,32357367,24741115,18268066,12964394,8823646,8823647,12964396,18268070,24741124,32345120,40239672,40239673,50258904,59152060,268837860,255763550,25236126,32956094,33783477,25973182,19306114,19306115,25973184,33783484,42816044,53269025,47307520,47307519,51358902,41172999,32357342,32357344,41173003,51358908,59151989,47753420,257491629,42816000,268991322,25973179,25973178,33783469,42816023,53268996,65258731,78548875,92596202,85002830,258445428,61691491,258273725,74174668,61394154,270275737,70501356,257739413,41301269,32458591,32458590,41301266,51518756,57800595,49913675,49913674,52222833,49887274,39865098,31182704,31182705,39865099,40239730,42054752,33105566,25370603,25370601,33105564,42054750,52398765,62036860,50544998,47307474,37398157,37398156,40414346,39893710,31216444,23731986,17407513,12267639,12267640,17407517,23731999,31216461,37831016,29265239,24821011,18329650,18329649,24821007,28107835,36579974,46445271,47753575,37831084,37831086,47753531,37831052,29265257,29265256,37831047,47753441,47753442,52398763,42054749,33105562,33105563,37831056,47753539,55343080,67682868,76246696,63231846,51518740,51518741,57800439,46445109,40414351,40414350,39893765,31216477,31216478,24821017,24821018,32458601,41301285,48465613,48465615,50448662,40414352,31722536,31722537,40414355,50448668,50448704,52398737,52398736,64254152,61693716,50211963,40190013,31504966,24006160,24006158,31504965,31798458,24284437,24284439,31798454,31798453,40493511,50529170,62021159,74818078,257913206,61471750,61471749,74249976,257133072,256071764,255221150,21442820,28693975,37219164,47116539,257132992,257439502,41912235,257768815,77244631,260254207,133493605,146749947,263706263,203772488,264863689,220516695,223135944,223377409,220791341,217753840,217753839,264684234,209681551,263433516,262575948,171381626,160162949,147914762,134796513,121000138,106747490,92442590 Dl.O(d2) = 226927062,226927064,265410796,219790291,216543757,212628500,207836762,202022956,195110372,187031157,177757581,167265291,155636208,155636209,155952157,143413439,260654766,102119353,102119352,102119351,88131167,74518844,61737183,257002552,31553670,31553669,25487232,25487234,33236339,41164508,32349622,24733932,24733934,32349625,41164512,33278249,33278248,33278261,255702508,24741098,24741099,255702510,27258989,35384301,41173040,32357367,24741115,18268066,12964394,8823646,8823647,12964396,18268070,24741124,32345120,40239672,40239673,50258904,59152060,268837860,255763550,25236126,32956094,33783477,25973182,19306114,19306115,25973184,33783484,42816044,53269025,47307520,47307519,51358902,41172999,32357342,32357344,41173003,51358908,59151989,47753420,257491629,42816000,268991322,25973179,25973178,33783469,42816023,53268996,65258731,78548875,92596202,85002830,258445428,61691491,258273725,74174668,61394154,270275737,70501356,257739413,41301269,32458591,32458590,41301266,51518756,57800595,49913675,49913674,52222833,49887274,39865098,31182704,31182705,39865099,40239730,42054752,33105566,25370603,25370601,33105564,42054750,52398765,62036860,50544998,47307474,37398157,37398156,40414346,39893710,31216444,23731986,17407513,12267639,12267640,17407517,23731999,31216461,37831016,29265239,24821011,18329650,18329649,24821007,28107835,36579974,46445271,47753575,37831084,37831086,47753531,37831052,29265257,29265256,37831047,47753441,47753442,52398763,42054749,33105562,33105563,37831056,47753539,55343080,67682868,76246696,63231846,51518740,51518741,57800439,46445109,40414351,40414350,39893765,31216477,31216478,24821017,24821018,32458601,41301285,48465613,48465615,50448662,40414352,31722536,31722537,40414355,50448668,50448704,52398737,52398736,64254152,61693716,50211963,40190013,31504966,24006160,24006158,31504965,31798458,24284437,24284439,31798454,31798453,40493511,50529170,62021159,74818078,257913206,61471750,61471749,74249976,257133072,256071764,255221150,21442820,28693975,37219164,47116539,257132992,257439502,41912235,257768815,77244631,260254207,133493605,146749947,263706263,203772488,264863689,220516695,223135944,223377409,220791341,217753840,217753839,264684234,209681551,263433516,262575948,171381626,160162949,147914762,134796513,121000138,106747490,92442590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16027159, s2 = 14195453, dlinesl.size( ) = 2 s1 = 16027159, s2 = 14195453, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16027159, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3066788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3066788, s2 = 1972206, int(edited[s2]) = 0 s1 = 3066788, s2 = 1972206, d1 = 57, d2 = 22 Dl.O(d1) = 95100509,85174681,268968466,47510697,37606192,29057293,29057292,37606189,35320611,27197208,27197207,35320607,44746349,55654303,256594722,55231738,44381311,44381312,55231740,60300481,73038802,71609880,71609879,81042772,81042771,74833863,62037254,50545342,50545341,46517656,46517657,256167476,28174771 Dl.O(d2) = 50933681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3066788, s2 = 1972206, dlinesl.size( ) = 2 s1 = 3066788, s2 = 1972206, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3066788, Dl.E( ) = 80, 4.41e-05 seconds used appending s1 = 11204040, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11219688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16354773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16354773, s2 = 16229472, int(edited[s2]) = 0 s1 = 16354773, s2 = 16229472, d1 = 22, d2 = 25 Dl.O(d1) = 211004938,205909036,199747434,192461397,183998327,174339579,163495777,151615846,138914392,261055889,271286711,70456234,57761189,46410408,36548831,28080608,20907873,15002827,10333064,6801045,4264996,2549906,1468897 Dl.O(d2) = 164145256,152259367,152259368,164145260,152259345,152259346,164145262,174964023,167786308,260709484,143611208,130283833,116446990,102353953,88357868,74729678,74729677,74729680,61936172,50445567,40411743,31720109,24212924,17842735,12635177,8578905,5574107,3457807,2049944,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19649985,19649983,26384520,30176078,255102310,24821790,18330301,18330300,22027732,29358164,37924500,47844506,38276524,38276525,30823943,254784428,14088685,19655413,19654447,17844708,12636658,12636659,14213164,11433134,11433133,16417294,11613384,11613385,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774418,8859089,13012038,18330503,24821991,32459627,41302324,51519901,63233031,258138818,104185268,118341973,105894446,270518876,73275141,73275142,64577617,64577618,77760397,91687665,260284249,120106238,133947963,147170327,159529599,170857824,180977725,189856369,197512443,204031363,264633555,213933609,217597555,215469860,211375868,206367296,200310995,193140884,184786647,175218870,164437321,152580967,272528492,112639924,98643194,84712818,71142881,58421128,47046242,37155425,28639673,21399198,15412965,10654025,7035178,7035177,10654021,15412953,19195376,19195377,20888805,28058728,33094700,33655942,33655941,26438511,19699194,14124414,14124417,19048612,19048602,19048603,25668970,22255959,22255960,22628680,25696098,19070784,13614835,9322592,6106753,6106752,9322585,268149209,16903862,255155364,7905643,5025277,3041745,1771300,1009459,568888,568891,1009469,1771318,3041784,3090247,1804969,1030631,580752,324758,324757,267754023,1804925,254212244,254212242,11338009,16295676,16295677,22464004,28903145,21628564,15597540,10790042,10790043,14597427,10044301,10044302,14597429,20339453,22695481,16493232,11491373,7642953,4835200,4835197,7642935,11491340,15598794,10790902,10790900,13320840,13320841,18714154,15590468,10785144,10785143,15590465,14560916,10019599,10019601,14560921,17334357,14598019,10044730,267873001,254476889,10044734,13308792,9090123,5946697,5946696,9090118,12338998,8335911,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801559,254208550,24710390,32325459,36632826,36632827,46499785,53168194,42718699,33688641,268761509,53168195,258442779,78434387,92470587,106776389,121030301,261474779,160196251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16354773, s2 = 16229472, dlinesl.size( ) = 2 s1 = 16354773, s2 = 16229472, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16354773, Dl.E( ) = 26, 9.78e-06 seconds used appending s1 = 16273569, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10162320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158826, s2 = 10143250, int(edited[s2]) = 0 s1 = 11158826, s2 = 10143250, d1 = 22, d2 = 26 Dl.O(d1) = 257112523 Dl.O(d2) = 258110077,47857562,37937766,29371366,22040362,255445139,11059373,7333161,4632428,2790669,1618969,1618968,2790667,4632427,7333159,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,1619937,921292,921290,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,1621283,1621284,2258516,2258519,2791285,1619265,1619264,2791280,4633629,2791336,1619291,920991,723691,723687,254201121,254436435,8967652,13156682,11074915,11074914,255447137,13458549,9203589,6025572,3769513,3769512,6025569,6025651,3769556,254445461,7345094,7345093,11077146,11081077,15948680,15948679,15964237,15964238,255061804,29398539,37942654,37942653,35222090,27128391,20223342,20223343,27128395,29302097,29302098,26299493,19576503,19576502,26226604,34087623,43170936,53681194,65737273,79092865,93207861,107608160,121978140,109570513,95314279,81253887,67784647,257920579,268830643,27119045,20216045,14506542,9982074,6560857,6560858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158826, s2 = 10143250, dlinesl.size( ) = 2 s1 = 11158826, s2 = 10143250, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11158826, Dl.E( ) = 30, 1.6e-05 seconds used appending s1 = 14170008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10186318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10186318, s2 = 14091961, int(edited[s2]) = 0 s1 = 10186318, s2 = 14091961, d1 = 29, d2 = 39 Dl.O(d1) = 89034118,89034092,75306033,62408004,50826095,256566505,256566503,50826092,62407998,75306029,89034086,103104652,103104603,89034049,89034050,89034082,75306026,62407997 Dl.O(d2) = 75306008,62407986,62407987,62408010,62408011,75306041,258935771,62407988,50826086,40722136,40722134,50826083,62407983,75306004,89034053,89034041,75305999,62407981,50826082,50826083,62407982,75306001,89034046,89034108,89034113,75306049,62408020,257116267,40722143,50826105,258311145,89034118,89034092,75306033,62408004,50826095,256566505,24421683,18009838,12763536,8674446,5643678,3507867,2085210,2085211,3507873,5643685,8674451,12763541,18009843,256566507,41583077,32685553,25006108,255238693,8947656,5840399,3644724,2178715,2178716,3644727,5840402,8947663,255238695,25006114,32685561,41583083,259622079,118993174,261404053,158423272,169793871,179978426,188941099,196706483,203353368,208924309,213501358,265079281,220370953,265463331,225305813,227292115,229027315,230557380,231919021,233145367,234254516,235263267,236182360,237020454,237786172,237516619,236725531,236725530,237516617,236725533,235857549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10186318, s2 = 14091961, dlinesl.size( ) = 26 s1 = 9619622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8316110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8316110, s2 = 11351046, int(edited[s2]) = 0 s1 = 8316110, s2 = 11351046, d1 = 62, d2 = 54 Dl.O(d1) = 88355267,88355266,75660879,62714903,61933455 Dl.O(d2) = 149459926,138907480,138907479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8316110, s2 = 11351046, dlinesl.size( ) = 34 s1 = 6531049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6531049, s2 = 11075056, int(edited[s2]) = 0 s1 = 6531049, s2 = 11075056, d1 = 20, d2 = 33 Dl.O(d1) = 255638784 Dl.O(d2) = 41620437,41620436,32967091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6531049, s2 = 11075056, dlinesl.size( ) = 2 s1 = 6531049, s2 = 11075056, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6531049, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 14937182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13495783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13495783, s2 = 13253888, int(edited[s2]) = 0 s1 = 13495783, s2 = 13253888, d1 = 1, d2 = 1 Dl.O(d1) = 255291823,26016918,33835792,42878455,53342023,65343344,62753750,51122596,40980473,32200514,24612116,18163408,12881259,12881260,18163409,24612117,32200515,24646492,18189918,12901436,12901435,12901431,8775884,8775885,7263000,7262999,10972880,15834181,21917937,19059213,19059212,25682319,25621367,19007075,254932900,25682284,19059183,19059184,19059173,19059174,19059182,13606090,9316735,6103096,3818679,3818680,6103097,9316738,13606097,19059194,256145233,25682334,19059223,13606113,9316751,6103106,3818686,2287762,2287761,3818684,6103101,9316743,13606103,19059204,19059201,19059202,25682306,33453904,42447050,52851345,42447043,33453901,33453902,42447045,52851348,64771197,77966124,89589334,89589335,98321536,84412000,70854418,58140019,46772142,256303211,21176524,15216710,10496518,6921546,4348379,2604373,2604375,4348387,6921561,10496543,15216703,15216700,21176508,28396480,36893882,46772127,42025606,33081550,33081549,42025604,50179374,50179375,256185460,40154355,40154094,40154093,40154236,48161667,42039888,33091841,33091749,25358635,25358636,31470082,40154219,40154380,40154375,40154376,44497112,48555591,50179349,40154328,31470164,23974262,17626380,17626381,23974265,31470171,40154338,40154185,40154186,40154292,50179311,40154275,38104088,38104087,48014402 Dl.O(d2) = 255291823,26016918,33835792,42878455,53342023,65343344,62753750,51122596,40980473,32200514,24612116,18163408,12881259,12881260,18163409,24612117,32200515,24646492,18189918,12901436,12901435,12901431,8775884,8775885,7263000,7262999,10972880,15834181,21917937,19059213,19059212,25682319,25621367,19007075,254932900,25682284,19059183,19059184,19059173,19059174,19059182,13606090,9316735,6103096,3818679,3818680,6103097,9316738,13606097,19059194,256145233,25682334,19059223,13606113,9316751,6103106,3818686,2287762,2287761,3818684,6103101,9316743,13606103,19059204,19059201,19059202,25682306,33453904,42447050,52851345,42447043,33453901,33453902,42447045,52851348,64771197,77966124,89589334,89589335,98321536,84412000,70854418,58140019,46772142,256303211,21176524,15216710,10496518,6921546,4348379,2604373,2604375,4348387,6921561,10496543,15216703,15216700,21176508,28396480,36893882,46772127,42025606,33081550,33081549,42025604,50179374,50179375,256185460,40154355,40154094,40154093,40154236,48161667,42039888,33091841,33091749,25358635,25358636,31470082,40154219,40154380,40154375,40154376,44497112,48555591,50179349,40154328,31470164,23974262,17626380,17626381,23974265,31470171,40154338,40154185,40154186,40154292,50179311,40154275,38104088,38104087,48014402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13495783, s2 = 13253888, dlinesl.size( ) = 2 s1 = 13495783, s2 = 13253888, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13495783, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 1622196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6668573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6846521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6846521, s2 = 5955396, int(edited[s2]) = 0 s1 = 6846521, s2 = 5955396, d1 = 72, d2 = 70 Dl.O(d1) = 259173126 Dl.O(d2) = 238378988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6846521, s2 = 5955396, dlinesl.size( ) = 2 s1 = 6846521, s2 = 5955396, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6846521, Dl.E( ) = 110, 4.2e-05 seconds used appending s1 = 6939623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14944573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14944573, s2 = 9238560, int(edited[s2]) = 0 s1 = 14944573, s2 = 9238560, d1 = 54, d2 = 77 Dl.O(d1) = 83966485,70439383,256014804,46393830,53118697,257649188,65105637,78389210,67788806,55445324,55445325,67788808,61402355,49922616,49922617,61402358,257586148,65105666,257230695,42666715,33636919,33636918,42666584,33636837,25833817,25833818,33636839,39996232,42666696,33636906,33636907,42666698,53118825,65105526,65105529,78389144,65105602,53118776,53118648,42666532,33636805,33636804,42666531,33636825,25833813,19180767,19180766,25833812,33636824,42666565,33636885,25833841,25833840,33636881,42666620,33636859,33636860,29385916,256378599,25833868,25833867,256673133,42666621,47868578,37950514,37950515,47868581,59264102,63013108,63013110,53704149,53118716,51362162,41176029,33636928,29385909,22055901,15952211,15952212,22055907,29385912,37950501,47868568,59264089,53118747,42666639,33636872,25833836,25833835,33636871,37950554,33636821,33636820,42666558,53118686,42666651,42666650,53118767,53118728,42666613,42666614,42666617,53118734,65105571,78389170,92426410,99533684,258541298,59665278,48277419,38365853,29793093,29793095,38365856,48277426,59665288,59401569,48014313,48014314,59401572,72132034,85716587,78389202,72401003,59665275,55445498,55445499,67788976,81258185,81258333,81258225,67789032,67789034,81258227,81258231,81258168,81258167,95318515,81258344,67789189,55445718,44595477,44595475,55445711,67553219,67553220,81022925,81022922,67788606,55445110,44594930,44594929,55445107,55445586,44595387,35214583,35214582,269195939,67789069,81258266,85716584,72132025,59401567,59401566,72132022,85716583,74501243,74501244,88112896,85586960,72000327,72000326,256755476,95079677,95079678,107608397,93208118,79093098,79093099,81258181,81258339,67789185,67789186,81020803,81020804,67788767,256755470,81258236,74501229,74501228,269195936,81258178,88112921,74501274,61719823,61719822,74501271,88112916,81257948,67788698,67788697,81257946,95318332,257321476,74501238,74501237,88112885,88082959,88082960,95079702,102099843,95079711,81020792,67551275,67551276,74501265,74501264,88112911,81020846,81020751,67551241,55207676,44357277,44357278,55207678,67551246,81020757,95079688,95318344,95318342,102099849,88112909,88112908,81020847,67551336,55207755,44357316,34979853,26900448,26900446,34979864,44357335,55207788,55209493,44358958,34981596,26901974 Dl.O(d2) = 65110827,72369278,258762405,65110855,65110856,78393831,92430687,78393819,65110838,53125027,53125026,53125047,53125046,65110854,78393813,259069063,78393826,65110851,65110852,259069065,92430696,106736628,120989495,134786037,147904545,273004245,153862570,153862569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14944573, s2 = 9238560, dlinesl.size( ) = 2 s1 = 14944573, s2 = 9238560, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14944573, Dl.E( ) = 88, 2.41e-05 seconds used appending s1 = 2335953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 716585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11359776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11388940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2339279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2339279, s2 = 6845939, int(edited[s2]) = 0 s1 = 2339279, s2 = 6845939, d1 = 0, d2 = 0 Dl.O(d1) = 63120488,76125746,259167298 Dl.O(d2) = 63120488,76125746,259167298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2339279, s2 = 6845939, dlinesl.size( ) = 2 s1 = 2339279, s2 = 6845939, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2339279, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6929061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2676924, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6649447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14515076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14515076, s2 = 6929374, int(edited[s2]) = 0 s1 = 14515076, s2 = 6929374, d1 = 19, d2 = 23 Dl.O(d1) = 29142019,21834250,21834251,29142022,255207024,33775878 Dl.O(d2) = 260224595,262084764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14515076, s2 = 6929374, dlinesl.size( ) = 24 s1 = 8209997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8442012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13217305, s2 = 4473862, int(edited[s2]) = 0 s1 = 13217305, s2 = 4473862, d1 = 50, d2 = 80 Dl.O(d1) = 51663046,63406359 Dl.O(d2) = 15237320,10511327,6931476,4355023,4355022,6931473,10511321,15237313,15237573,10511490,10511489,12817290,12817289,18078697,24507140,32080924,26684869,26628810,26628811,24210536,24210538,24822078,22164169,16042097,16042098,18041750,24460649,30601392,23182666,16917424,11839665,7912479,5029990,3044929,3044927,5029985,7912475,267859050,22372450,22372451,29054816,21760255,15705054,12145708,8175539,8175542,12145718,17266064,23577722,19663087,14094553,9694124,6375921,254677965,14094551,17182944,12081970,12081972,17182962,23461748,29411491,37974969,47892792,59288767,72025242,85613633,85613634,99563948,113580520,127456783,140817142,153498232,165294045,175989812,175989815,165877766,154110781,141439756,128074350,128074349,114187768,100157478,86194834,258154922,59859979,48468979,48468980,59859981,59927755,72597529,72597530,86194833,100157476,114187765,128074348,141439754,154110779,165877764,176532091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13217305, s2 = 4473862, dlinesl.size( ) = 2 s1 = 13217305, s2 = 4473862, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13217305, Dl.E( ) = 82, 2.22e-05 seconds used appending s1 = 2636544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2636544, s2 = 15007922, int(edited[s2]) = 0 s1 = 2636544, s2 = 15007922, d1 = 26, d2 = 73 Dl.O(d1) = 74388945 Dl.O(d2) = 201338322,207252406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2636544, s2 = 15007922, dlinesl.size( ) = 42 s1 = 2681149, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11090296, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6670881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1994212, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1995966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6671297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6671297, s2 = 7368351, int(edited[s2]) = 0 s1 = 6671297, s2 = 7368351, d1 = 27, d2 = 40 Dl.O(d1) = 257168271,63745510 Dl.O(d2) = 266048223,229032410,265920479,231923107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6671297, s2 = 7368351, dlinesl.size( ) = 14 s1 = 2685006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2685006, s2 = 11891653, int(edited[s2]) = 0 s1 = 2685006, s2 = 11891653, d1 = 27, d2 = 43 Dl.O(d1) = 76852526 Dl.O(d2) = 52778943,64692992,259048873,91805415,106000423,260756241,102459817,88456069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2685006, s2 = 11891653, dlinesl.size( ) = 18 s1 = 6719954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6719954, s2 = 15367874, int(edited[s2]) = 0 s1 = 6719954, s2 = 15367874, d1 = 7, d2 = 17 Dl.O(d1) = 257685945 Dl.O(d2) = 99848668,113866321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6719954, s2 = 15367874, dlinesl.size( ) = 2 s1 = 6719954, s2 = 15367874, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6719954, Dl.E( ) = 28, 1.6e-05 seconds used appending s1 = 7870453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7870453, s2 = 13417939, int(edited[s2]) = 0 s1 = 7870453, s2 = 13417939, d1 = 30, d2 = 11 Dl.O(d1) = 5316337,5316338,8244675,12214251,12214316,12214314,17340595,23657493,21862720,17340526,17340527,15789853,15789849,18856709,13435172,13435170,12074572,8119443,5201603,5201602,8119437,12074555,17172891,22171650,16047803,11142893,7391079,4669493,2813314,2813310,4669477,7391043,11142953,16047890,22171785,25547446,33309002,40418756,39826738,31144314,23657268,23657267,31144312,39826736,49850332,47019025,42123776,268649430,46893203,37013863,37013864,38614863,37760316,37760317,47637430,40367792,33663195,33663196,37536066,255881296,23225857,23883470,17536982,16952008,16952006,254521462,11864905,254348642,16464511,11471701,7630423,7630424,11471704,12368932,8357886,8357885,12226018,15501660,15501661,21511134,28772543,37306336,47212931,58602195,71333978,60535504,49135351,39208405,39208406,49135354,60535510,73279907,73279906,73279924,86891177,77481083,64316875,52449115,52449114,60535518,60535517,73279934,76919765 Dl.O(d2) = 254789509,11469954,11469953,16461852,18530580,255641339,22654294,22654295,30027846,256102499,18530579,18530578,25073204,18530596,13166104,254638493,3657211,3657210,5858645,8974402,255241855,19680487,14108963,14108964,19680490,22654265,16461858,16461859,22654268,30027811,30046492,38620278,48535346,41686544,32770169,25073222,25073221,32770166,30046480,22671191,22671192,30046482,38600887,30027801,22654258,22654257,28772498,37296823,28763565,21503722,15496024,10716474,10716472,15496022,21503716,16427022,11442343,7608852,4813626,4813627,7608856,11442352,16427038,17027844,23286903,30702608,23839048,17499060,17499062,23839052,22611165,16426999,16426998,22611162,29977886,38546775,47204028,37790985,29228854,21912455,15830133,10970206,10970205,15830131,21912452,29228849,37790979,37296651,37296650,47203917,37297829,255840553,15496926,10717207,254502991,2678063,1551254,881916,497658,497659,881920,1551265,2678088,267883861,10717274,15496504,10717822,10717823,15245220,10517225,10517222,7298292,4603359,2770120,2770121,4603362,7298295,10716803,15496440,255840465,10716460,10716459,254886266,10409762,6861918,4306476,4306475,6861912,7390482,4668898,2812700,1631682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7870453, s2 = 13417939, dlinesl.size( ) = 2 s1 = 7870453, s2 = 13417939, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7870453, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 16225219, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16247453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2351636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2351636, s2 = 7460453, int(edited[s2]) = 0 s1 = 2351636, s2 = 7460453, d1 = 0, d2 = 27 Dl.O(d1) = 63832166 Dl.O(d2) = 266874480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2351636, s2 = 7460453, dlinesl.size( ) = 2 s1 = 2351636, s2 = 7460453, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2351636, Dl.E( ) = 50, 1.81e-05 seconds used appending s1 = 9704189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9704189, s2 = 10334034, int(edited[s2]) = 0 s1 = 9704189, s2 = 10334034, d1 = 1, d2 = 1 Dl.O(d1) = 75972524,270984445,89751335,89751334,100213817,256975548,76969440,86246085,86246086,76969420,63857608,52038027,52038019,41722725,41722724,52038018,63857598,76969403,90848372,99604167,85654240,72066975,59332693,59332694,72066977,85654243,89751333,257659206,118000422,105368739,101161494,258788630,85654236,90848396,90848395,92935178,85654224,72066956,59332668,47940963,47940962,59332664,72066947,85654219,99604158,90848447,76969507,63857707,52038121,41722826,32802767,256618765,52038115,63857700,71934636,71934635,269821074,89131760,75386861,62471161,62471162,52038091,52038092,63857679,76969480,81598538,68109497,68109496,75386884,75386883,62471214,50873285,50873233,50873232,40758473,32003411,24444200,24444199,32003408,40758466,40758510,32003427,32003426,40758507,40758491,32003419,32003418,40758489,50873276,62471203,50873314,40758528,32003441,24444214,18028013,12778030,12778029,18028011,24444212,32003436,40758522,40758485,32003417,256108358,12778026,18028005,24444202,32003415,40758481,40758504,50873293,62471197,62471198,52038050,52038051,63857637,75386888,62471248,50873312,41722785,32802725,32003432,24444209,24444210,256059455,40758517,32003433,32003434,40758521,32802783,32802784,41722849,52038130,41722928,32802860,256104317,18552472,13182111,255243069,25100977,25100954,18552453,18552454,25100955,32802717,32802718,41722779,41722815,32802756,25100947,25100946,32802755,25101028,18552520,18552519,25100908,18552411,13182063,13182064,18552414,268483771,257173239,32802758,32802759,32802722,32802720,41722747,32802693,25100897,18552402,18552401,25100894,25100951,25100950,32802763,25101038,18552528,18552529,25101040,25100914,25100913,18552419,13182067,13182066,18552416,25100911,32802708,25100967,18552467,18552432,13182076,13182077,18552434,25100904,18552407,13182061,8985572,8985557,5866216,5866218,8985558,13182081,18552438,18552439,25100930,32802731,41722789,52038085,63857670,66914364,54657606,43914931,34641535,26650035,19836403,255315767,254682175,6423083,9769113,14210494,17268398,16993506,16993505,17178770,12078663,12078664,17178762,22968250,22968247,30365704,22963658,16726971,16726970,22963656,30365701,38951975,39258671,30662758,23245362,16978867,11892020,11892021,16978869,16954950,11867366,7931733,5048794,5048793,7938835,7962109,5064989,254378651,3062875,1785404,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,7939028,7950512,5089450,3088428,1803760,1803759,3088424,5055655,5055656,7949516,7977705,11923645,16734160,16734162,16467593,16467594,22661981,16717243,254819525,5087438,5087437,7992512,7794584,7787807,7787808,11679356,11689353,16731957,16720998,16720999,16731548,11688959,7795392,7795391,7795678,4943242,4940760,2981469,2981467,4940757,3315547,2975217,2975218,1731827,984552,984551,1731825,2983209,4943243,7795679,11689336,255125609,16731958 Dl.O(d2) = 75972524,270984445,89751335,89751334,100213817,256975548,76969440,86246085,86246086,76969420,63857608,52038027,52038019,41722725,41722724,52038018,63857598,76969403,90848372,99604167,85654240,72066975,59332693,59332694,72066977,85654243,89751333,257659206,118000422,105368739,101161494,258788630,85654236,90848396,90848395,92935178,85654224,72066956,59332668,47940963,47940962,59332664,72066947,85654219,99604158,90848447,76969507,63857707,52038121,41722826,32802767,256618765,52038115,63857700,71934636,71934635,269821074,89131760,75386861,62471161,62471162,52038091,52038092,63857679,76969480,81598538,68109497,68109496,75386884,75386883,62471214,50873285,50873233,50873232,40758473,32003411,24444200,24444199,32003408,40758466,40758510,32003427,32003426,40758507,40758491,32003419,32003418,40758489,50873276,62471203,50873314,40758528,32003441,24444214,18028013,12778030,12778029,18028011,24444212,32003436,40758522,40758485,32003417,256108358,12778026,18028005,24444202,32003415,40758481,40758504,50873293,62471197,62471198,52038050,52038051,63857637,75386888,62471248,50873312,41722785,32802725,32003432,24444209,24444210,256059455,40758517,32003433,32003434,40758521,32802783,32802784,41722849,52038130,41722928,32802860,256104317,18552472,13182111,255243069,25100977,25100954,18552453,18552454,25100955,32802717,32802718,41722779,41722815,32802756,25100947,25100946,32802755,25101028,18552520,18552519,25100908,18552411,13182063,13182064,18552414,268483771,257173239,32802758,32802759,32802722,32802720,41722747,32802693,25100897,18552402,18552401,25100894,25100951,25100950,32802763,25101038,18552528,18552529,25101040,25100914,25100913,18552419,13182067,13182066,18552416,25100911,32802708,25100967,18552467,18552432,13182076,13182077,18552434,25100904,18552407,13182061,8985572,8985557,5866216,5866218,8985558,13182081,18552438,18552439,25100930,32802731,41722789,52038085,63857670,66914364,54657606,43914931,34641535,26650035,19836403,255315767,254682175,6423083,9769113,14210494,17268398,16993506,16993505,17178770,12078663,12078664,17178762,22968250,22968247,30365704,22963658,16726971,16726970,22963656,30365701,38951975,39258671,30662758,23245362,16978867,11892020,11892021,16978869,16954950,11867366,7931733,5048794,5048793,7938835,7962109,5064989,254378651,3062875,1785404,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992738,7994834,5089282,5089283,5090207,5076699,3078704,1796469,1796467,1028806,1028805,1802255,3086654,5087475,7939028,7950512,5089450,3088428,1803760,1803759,3088424,5055655,5055656,7949516,7977705,11923645,16734160,16734162,16467593,16467594,22661981,16717243,254819525,5087438,5087437,7992512,7794584,7787807,7787808,11679356,11689353,16731957,16720998,16720999,16731548,11688959,7795392,7795391,7795678,4943242,4940760,2981469,2981467,4940757,3315547,2975217,2975218,1731827,984552,984551,1731825,2983209,4943243,7795679,11689336,255125609,16731958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9704189, s2 = 10334034, dlinesl.size( ) = 2 s1 = 9704189, s2 = 10334034, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9704189, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 2690542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14525023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14525023, s2 = 9108159, int(edited[s2]) = 0 s1 = 14525023, s2 = 9108159, d1 = 9, d2 = 15 Dl.O(d1) = 74877852,62079518,62079517,74877851,88514047,88514046 Dl.O(d2) = 1282841,1282839,1282841,1282838,1282817,1282813,1282473,1282470,2208842,3689571,3700550,267851984,13269192,14942246,10276924,6753823,6753824,8968972,8968974,13154660,18514453,22988874,16750589,16750587,15659590,10840578,10840576,15659603,13250976,9039817,9039818,13250978,254195112,9033425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14525023, s2 = 9108159, dlinesl.size( ) = 2 s1 = 14525023, s2 = 9108159, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14525023, Dl.E( ) = 16, 9.78e-06 seconds used appending s1 = 2691254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2692545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1762585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299416, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2359981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2360838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2360838, s2 = 13161217, int(edited[s2]) = 0 s1 = 2360838, s2 = 13161217, d1 = 10, d2 = 21 Dl.O(d1) = 64136449 Dl.O(d2) = 19538288,26256931,34122239,26256970,26256969,34122271,43209575,43209565,34122257,34122256,43209563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2360838, s2 = 13161217, dlinesl.size( ) = 2 s1 = 2360838, s2 = 13161217, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2360838, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 15087903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10168225, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7605396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13326621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6834555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6834555, s2 = 14640410, int(edited[s2]) = 0 s1 = 6834555, s2 = 14640410, d1 = 24, d2 = 50 Dl.O(d1) = 259017419 Dl.O(d2) = 114075614,127955797,141315431,153985848,165757957,176419435,185855695,187400219,260997044,156111828,143575360,130246724,116409672,260148965,88321432,74693854,257678083,257094687,31682029,24173832,17806075,17806076,24173834,28345873,28345872,36843256,46726330,58098471,270800657,112265467,126124228,139498540,272827089,164116194,174937321,184544146,192933990,200131381,206209213,201276308,194242880,186031870,176613195,272871785,128194154,114311392,100281016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6834555, s2 = 14640410, dlinesl.size( ) = 2 s1 = 6834555, s2 = 14640410, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6834555, Dl.E( ) = 52, 1.72e-05 seconds used appending s1 = 14558889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16124199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8047985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6673782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6673782, s2 = 6119230, int(edited[s2]) = 0 s1 = 6673782, s2 = 6119230, d1 = 52, d2 = 49 Dl.O(d1) = 257190625 Dl.O(d2) = 242060329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6673782, s2 = 6119230, dlinesl.size( ) = 2 s1 = 6673782, s2 = 6119230, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6673782, Dl.E( ) = 82, 4.32e-05 seconds used appending s1 = 14118113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14118113, s2 = 7562397, int(edited[s2]) = 0 s1 = 14118113, s2 = 7562397, d1 = 4, d2 = 9 Dl.O(d1) = 167639723,178101696,183275703,173730999,162724052,272449784,123950477,109812818,95609411,81575564,257888918,48120120,38209668,29643011,29643010,38209667,48120118,258128759,85834239,86672266,73066826,61564865,50084771,50084770,61564863,74342169,61564870,268996949,23883356,23883357,256524923,50084743,40063254,31380394,31380393,40063252,37059937,28559066,21333053,15360167,10612100,7002475,4401134,2637598,2637599,4401138,7002485,10612112,13730747,10608705,10608704,7016293,4411739,4411738,7016287,7043562,7043563,8471928,8471609,8471611,8755487,12874406,17682641,12505317,8471838,5476117,5475831,5475828,8471342,8471341,8471296,5475798,3369582,1982815,1132542,1132540,1132506,1132505,1982738,3369456,3369788,3369787,5476155,8471543,12505753,17681940,12506319,12506318,12504444,8470659,7002456,4401124,4401125,7002458,10612078,255397427,28559033,25376721,25376720,33111990,33111999,257193011 Dl.O(d2) = 97198562,260453601,124604240,124604239,138125271,150563291,137548319,260963764,138471270,125062003,111166606,97153080,83226548,69694392,69694393,83226550,97153083,111166611,125062005,138471273,151019719,271654994,110781432,110781430,124748894,138232732,130482818,116642267,259810122,110981907,96947605,83010815,69484844,69484843,259220539,110981906,259147556,69491441,69491442,83018542,96955770,110446925,110446926,124489550,273053086,138660864,125312772,111483818,97532961,83651787,70127385,70127386,83651788,96352166,96296372,96296371,258555506,96939078,256767516,57710647,46361327,36503215,255344538,22693707,19898196,14254226,14254227,19898198,26733045,34752989,44069372,40475438,31780853,31780854,34753180,255424286,19898272,26733182,34752639,34752640,44069292,54869894,67189420,54869776,44069183,34752772,34752773,44069447,49976183,44069504,34752838,34752820,26732920,19898251,19898116,19898117,20878160,28046051,36509780,31457574,31457575,37483997,37483998,47391512,257660855,257660853,54870218,44069783,44069782,54870141,59103583,47705449,37784590,29222831,21907366,15826196,10967367,10967368,15826198,19898109,26732886,28039899,28039898,28046185,28046186,36510000,46368323,57717881,70411990,83938166,94742589,80664512,80664415,67189609,54870082,44069571,44069572,40546984,40546985,269322686,60681640,57717599,57717598,64563451,52662657,52662658,257241220,87885146,257833868,73429332,84996710,71423520,71423519,60681669,49280846,49280845,54869843,67189472,60681721,49280875,49280874,60681719,73429363,73429287,60681618,60681619,70366452,60681739,49280889,49280890,60681644,60681645,49280898,39354055,30753511,23331016,17064276,11972965,11972966,17064280,23331022,26909102,34990056,44368291,46682537,46682536,36796542,28299250,21091101,15149916,15149915,21091098,23330998,30753486,34680237,26686135,26686134,34680234,43955327,53842739,47299867,40566655,40566656,47299948,37390794,28850761,28850762,37390796,47299949,47300037,58690605,71423567,64563439,62107291,55716899,268673820,35385966,31864775,31864776,40566701,50608100,62107293,67640092,67640093,62107287,62107286,58593540,47202431,47202430,58593538,60098670,60098671,57782437,46427417,46427416,57782433,58690636,70555387,70555389,71269760,257793668,70555383,70555382,257203290,61622848,50141040,40120088,31440801,31440800,40120086,50141035,61622844,73985846,70555398,70555399,72960119,70555506,70555507,64263860,57854081,46498080,46498079,57854078,59062018,47661833,46498009,36631203,36631205,46497999,46498000,57853963,57853948,46497993,46497994,57853955,48369683,48369685,59547372,48160460,48160461,59547375,70555408,57854020,57854019,70555404,73985850,70555487,61622838,50141031,46498068,36631241,28156933,20977654,20977653,28156928,28156953,28156954,36631270,46498115,256957662,84091959,258770772,88691678,75040749,258930843,84091823,70555312,70555311,72510294,86109377,86109378,86109426,95257818,257150788,67737291,55398255,55398253,257915318,37808175,257489467,71867117,85452036,99392782,268947572,48300677,38401187,29828964,23257808,16994718,11909136,7965875,5067925,5067924,7965871,11909125,16994702,23257785,29347000,22014981,22014982,29347002,31574594,40261607,33177977,33177976,39104908,30508244,30508245,30673799,31315944,31315945,39992708,48146305,38236391,29671039,22319858,267801192,254275434,22319862,29671045,24069281,24069280,30673779,30673780,39268318,39268319,31574317,31574315,40261287,39270092,30673843,23257811,23257810,24203291,24325657,17937709,17937708,24325654,31845434,31574380,31574379,39268332,30672134,23256160,16992821,16992820,22461052,22461051,29828335,38400624,40543543,31845407,31845408,40543544,48311858,268002244,29346992,22014976,15913379,15913378,22014973,17937701,17937703,24325644,268923587,28807277,23257804,23257803,30673835,24068861,24068860,28807275,268116432,37345393,31710949,31710948,31574815,24069284,17713309,17713310,24069286,31574818,29346796,23257826,16994731,11909142,11909143,16994734,254779360,12710063,12710062,17937695,24325632,31845412,40543549,40543562,37915927,29346985,22014970,22014971,29346988,24830659,24830658,32470264,40543561,255192124,255913044,256952210,256410008,40938747,50579725,256410010,256559601,32160424,24575981,23826563,23826562,256033680,31845420,24325639,17937699,12710066,8635450,5615820,254285045,1190085,1190089,668886,668888,681002,681005,405567,378782,378778,679973,720002,1263554,2180301,3647343,3512553,3512554,5649974,8682758,12774061,13016886,255231829,18337116,13016876,8862717,5777067,5777068,8785488,12768259,8678367,8678368,12768261,18015513,12928268,12928267,255621073,18227049,12928275,12928273,12928227,8794796,5728717,5728719,8794798,12928232,18227000,24696260,29651665,22299744,16154301,16154302,22299737,17664395,17664394,12928250,8794812,8794813,12928255,18227024,24696285,255395398,32309438,24696191,24696192,24696185,24696186,32309432,41122466,41122467,32309541,25884527,19224860,19224861,25884529,31705181,31705180,40397200,41122606,33691011,25884452,19224814,13733252,13733251,19224812,25884449,33691010,42721032,39034216,30444825,23037318,23037316,30444822,25884510,19224851,13733279,9408252,6164137,3857029,2310778,2310779,3857030,6164141,9408259,13733295,19224880,25884472,25884498,25884517,31845403,24325624,24325623,31845401,38400662,38400663,39729877,39729878,255395482,33691082,39034211,255523658,23037312,30444819,30444828,23037320,16792954,16792957,16792995,23037360,19224886,13733299,13733300,13733326,254497840,3857036,2310781,1340621,765657,765656,1340618,2310776,3857024,6164129,9408240,13733260,13733291,13733292,19224874,25884552,25884492,254729304,28532102,28532495,28532493,29828264,22460983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14118113, s2 = 7562397, dlinesl.size( ) = 8 s1 = 6574491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574491, s2 = 10358452, int(edited[s2]) = 0 s1 = 6574491, s2 = 10358452, d1 = 6, d2 = 13 Dl.O(d1) = 256123217,13390527,18797600,25382659,33117788,33117789,257193453 Dl.O(d2) = 260864281,263716313,203873642,265638891,226346155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6574491, s2 = 10358452, dlinesl.size( ) = 14 s1 = 2370749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2370749, s2 = 16208259, int(edited[s2]) = 0 s1 = 2370749, s2 = 16208259, d1 = 11, d2 = 45 Dl.O(d1) = 64355446 Dl.O(d2) = 6253563,3914805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 14067702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15439067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15439067, s2 = 631967, int(edited[s2]) = 0 s1 = 15439067, s2 = 631967, d1 = 25, d2 = 4 Dl.O(d1) = 71984703 Dl.O(d2) = 16180981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15439067, s2 = 631967, dlinesl.size( ) = 14 s1 = 2706244, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8314216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8314216, s2 = 6885923, int(edited[s2]) = 0 s1 = 8314216, s2 = 6885923, d1 = 5, d2 = 3 Dl.O(d1) = 91498518,77567425,64399172,64399171,77567424,91498516,259659561,91498514,91498515,105722970,260134864 Dl.O(d2) = 259659559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8314216, s2 = 6885923, dlinesl.size( ) = 2 s1 = 8314216, s2 = 6885923, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8314216, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16268876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2373514, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2374694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8267071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6595834, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11156730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13338317, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14085762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14085762, s2 = 3471901, int(edited[s2]) = 0 s1 = 14085762, s2 = 3471901, d1 = 8, d2 = 34 Dl.O(d1) = 75455750 Dl.O(d2) = 142011269,128648689,114748490,100699858,86724779,73119329,60379375,48982553,256458619,23059975,16812282,16812283,23059977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14085762, s2 = 3471901, dlinesl.size( ) = 14 s1 = 2382022, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10212263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10212263, s2 = 7347244, int(edited[s2]) = 0 s1 = 10212263, s2 = 7347244, d1 = 25, d2 = 94 Dl.O(d1) = 109863640 Dl.O(d2) = 265686883,229617506,231072108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10212263, s2 = 7347244, dlinesl.size( ) = 14 s1 = 11278050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8056744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8063060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14536817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14536817, s2 = 11588896, int(edited[s2]) = 0 s1 = 14536817, s2 = 11588896, d1 = 13, d2 = 97 Dl.O(d1) = 64840801 Dl.O(d2) = 265654135,229278890,230779445,266288595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14536817, s2 = 11588896, dlinesl.size( ) = 8 s1 = 11132562, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2388962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2388962, s2 = 14597800, int(edited[s2]) = 0 s1 = 2388962, s2 = 14597800, d1 = 4, d2 = 17 Dl.O(d1) = 64989755 Dl.O(d2) = 58118906,46750340,255515248,21157274,21157273,17823147,17823146,24192321,31700342,40392810,50426383,258288701,88338082,102334817,116428361,130265621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2388962, s2 = 14597800, dlinesl.size( ) = 2 s1 = 2388962, s2 = 14597800, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2388962, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 14496709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14496709, s2 = 9567235, int(edited[s2]) = 0 s1 = 14496709, s2 = 9567235, d1 = 38, d2 = 49 Dl.O(d1) = 268384971 Dl.O(d2) = 264202134,263882082,166845802,262209206,115199990,101122273,87124310,259465471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 11205284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205284, s2 = 2944897, int(edited[s2]) = 0 s1 = 11205284, s2 = 2944897, d1 = 9, d2 = 4 Dl.O(d1) = 111639301,268902342 Dl.O(d2) = 87868375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205284, s2 = 2944897, dlinesl.size( ) = 14 s1 = 10151805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10151805, s2 = 3460506, int(edited[s2]) = 0 s1 = 10151805, s2 = 3460506, d1 = 27, d2 = 21 Dl.O(d1) = 65055308,53072846,268996528,25803570,19156906 Dl.O(d2) = 114386147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10151805, s2 = 3460506, dlinesl.size( ) = 2 s1 = 10151805, s2 = 3460506, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10151805, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 8250885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6844981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2059766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14587045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14587045, s2 = 10342118, int(edited[s2]) = 0 s1 = 14587045, s2 = 10342118, d1 = 72, d2 = 86 Dl.O(d1) = 39781044,39781043,49800215,50061490,40042016 Dl.O(d2) = 254812625,254558763,3031360,3031359,5012937,7892218 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6762415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6972289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6972289, s2 = 7803821, int(edited[s2]) = 0 s1 = 6972289, s2 = 7803821, d1 = 30, d2 = 5 Dl.O(d1) = 260787034 Dl.O(d2) = 64465,64472,64474,64017,64019,65072,254081619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6972289, s2 = 7803821, dlinesl.size( ) = 2 s1 = 6972289, s2 = 7803821, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6972289, Dl.E( ) = 52, 1.19e-05 seconds used appending s1 = 15671309, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11222176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222176, s2 = 11266097, int(edited[s2]) = 0 s1 = 11222176, s2 = 11266097, d1 = 5, d2 = 41 Dl.O(d1) = 36416594,268951004,25972006,33782363,42814975 Dl.O(d2) = 260013691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222176, s2 = 11266097, dlinesl.size( ) = 2 s1 = 11222176, s2 = 11266097, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11222176, Dl.E( ) = 68, 3.79e-05 seconds used appending s1 = 14051623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051623, s2 = 11658487, int(edited[s2]) = 0 s1 = 14051623, s2 = 11658487, d1 = 48, d2 = 16 Dl.O(d1) = 141806773,128454567,114571236,100541024,86580310,72983373,71275364,58543827,58543828,65355901,65355900,62114676,58543825,47155503,37250615,37250616,47155484,47155485,58543801,48855395,38936220,30350404,22948750,22948749,30350402,38936218,48855391,60248006,58543815,58543814,71275348,84849187,71275358,71275357,84849192,84849193,98775944,92665596,92665595,78609419,65310844,53311375,42848843,33808002,25991877,19320883,13815640,9474712,9474713,13815641,19320885 Dl.O(d2) = 38015786,29453555,268113562,32954932,32954931,41890238,38016014,29453772,255885258,11112175,11112177,16006101,22119678,29453796,256024368,50341211,50341212,256095014,29453869,29453870,38016123,47930220,59322234,59322233,61762957,61762956,59322111,47929928,47929927,52149558,63974139,61763003,61763002,74546725,72027626,72027625,71273473,71273472,61441544,49963305,49963304,52221465,63974146,52149572,41890264,41890265,52149570,61763000,61763001,74546724,85643698,85643697,72056646,72056645,84847291,72056744,59322364,59322363,59322337,47930211,38016114,38016113,47930209,59322333,49963297,49963296,61441535,74221388,74546663,88161607,74546673,64062841,64062840,268442828,50150290,40128801,40128803,47930100,47930099,59322259,59322298,59322299,61762971,61762969,64062879,52221511,52221512,64062882,61762901,50283247,40262239,40262240,40262230,40262228,50283234,57806596,63971842,52147707,52147708,63971843,77090622,84847285,71273467,61762974,61762972,58553429,47164567,37258827,28727028,21470037,15467999,15467796,10695381,7065867,4448797,4448796,7065860,10695371,15467789,21469691,28726266,28726568,21469640,21469641,21469645,21469646,21469631,21469356,15467590,10695245,10695246,15467596,21469368,15467662,15467663,21469466,21469472,28726298,37257915,47163423,37258813,28727007,21470014,21470013,28727001,37258296,37258268,37258266,47163828,58552145,58552143,71283803,84857520,74789853,61993303,50501343,50501344,47162963,47162964,58551508,63084053,63084052,71283753,71283754,79120535,77590666,64421950,52547895,42189118,42189117,52547893,64421946,77590661,71285135,58553400,58553402,61655037,61655036,53684204,53684202,65740472,72264657,59530545,59530546,60818563,49418669,49418668,60818559,73564929,87182683,101179452,115255643,105531135,257661794,84859407,84859408,91313145,91313144,102503613,102503614,116608477,121986979,121986978,115255646,115255647,115255649,113824158,99809226,99809227,93234650,258892294,95278460,109533255,107614756,257661370,79096571,93212610,99809209,85856183,85856184,99809213,113824145,127693506,141043201,127693519,127693518,256530926,256530924,85856196,85856197,72264617,72264616,85173681,75040674,71608885,71608884,58888965,50152251,40130715,31450765,31450764,40130711,31450767,23957866,17610393,17610394,23957868,31450744,23957854,255572072,40130689,31450804,23957894,23957895,23957600,23957599,31450412,31450803,23957893,17610412,12430475,8401299,5421372,5421374,8401302,8401267,8401268,12430430,17610330,23957749,31450613,40130542,43878241,40130791,268113570,50152247,40130710,31450763,23957864,17610392,12430467,8401293,8401291,12430464,17610374,12430456,12430458,17610377,23957836,31450713,40130641,40130668,31450729,31450728,40130666,50152184,40130644,40130643,40130647,40130648,50152189,59033634,61634446,74414176,76939778,63832411,52017388,52017387,61634445,52017393,41706934,32791234,25092890,25092889,32791230,41706930,47631432,47631431,59033646,71776153,61634221,50151909,50151910,47631424,47631422,59033637,62983924,71776145,74414006,257659697,40130369,31450466,25092880,18546641,13177971,255242737,25092883,25092885,32791222,41706923,52017378,257077032,63832474,63832476,63832485,63832407,63832408,63832486,52017505,52017504,52017429,51305749,257660154,41707021,32791300,32791281,25092919,18546656,268020173,8982846,13177975,18546649,25092904,32791258,32791292,25092923,18546658,18546659,25092927,32791296,41707016,52017479,63832438,52017414,52017415,63832442,63832394,52017366,52017368,52017502,52017363,41706912,41706911,52017359,60700734,70307602,57616968,57616966,70307596,76939865,63832512,52017495,52017497,52017461,41706994,32791278,25092917,25092916,32791275,41706989,52017456,52017443,41706978,32791263,25092907,25092908,32791265,32791254,32791255,41706968,41707003,32791285,32791284,41707001,52017471,63832446,52017421,41706958,32791251,32791252,41706962,257761497,70307582,57616957,46272436,46272437,57616960,70307585,70403808,70403809,70307590,70307591,83832712,76939827,63832501,52017487,52017488,63832503,257660156,101932024,104993433,90815809,76939844,76939845,90815747,90815746,99593354,99593356,104993454,90815838,76939866,76939867,90815844,104993460,119188440,133023650,259515482,119188383,104993395,90815754,76939800,76939801,258198812,95214419,109469023,123661543,125407718,123680223,109488905,95235720,81180189,67715015,55375278,55375280,67715018,81180191,95235724,104993408,99593349,99593348,113608585,101932034,87959200,74356946,74356945,87959195,101932028,104993463,101932022,87959192,87959191,101932020,115976591,129874316,143204024,140841176,140841177,153519854,165313301,165313304,153519857,153519858,150432728,137392827,123661547,109469029,95214422,269838936,104993397,119188389,133023615,119188439,119188438,133023647,137410765,123680215,109488900,95235713,81180183,81180184,95235715,109488902,109488909,109488908,119188401,119188400,133023623,133023638,119188428,104993448,258891438,115976600,115976599,129874320,137392812,129874313,129874312,140077356,133023641,119188432,104993449,104993450,119188434,133023644,146257670,158632217,169994947,180164831,263201274,184758662,263495635,263855207,264177885,263096275,164397749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051623, s2 = 11658487, dlinesl.size( ) = 34 s1 = 15559681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15559681, s2 = 2732992, int(edited[s2]) = 0 s1 = 15559681, s2 = 2732992, d1 = 16, d2 = 46 Dl.O(d1) = 41479648 Dl.O(d2) = 78621391,92675970,259709553,114184669,100154121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15559681, s2 = 2732992, dlinesl.size( ) = 2 s1 = 15559681, s2 = 2732992, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15559681, Dl.E( ) = 48, 1.6e-05 seconds used appending s1 = 6840663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4854035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212926, s2 = 9040305, int(edited[s2]) = 0 s1 = 11212926, s2 = 9040305, d1 = 15, d2 = 31 Dl.O(d1) = 257251101,65535900 Dl.O(d2) = 172462736,172462737,182413880,172462743,161263388,161263389,172462745,161263391,148958266,135719184,121778781,107394155,92983540,78871675,78871674,92983537,107394152,121778776,135719177,148958257,161263380,172462733,182413876,191116180,191116178,191116185,182413878,172462736,172462737,182413880,172462743,161263388,161263389,172462745,262988627,263768367,263768369,263768367,263137016,161263377,148958251,148958250,161263375,161263376,262533117,263399231,198605802,204951370,264662469,218046072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212926, s2 = 9040305, dlinesl.size( ) = 22 s1 = 6671976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6671976, s2 = 8599533, int(edited[s2]) = 0 s1 = 6671976, s2 = 8599533, d1 = 12, d2 = 9 Dl.O(d1) = 257175924,41759752,41759751,43060326,34002016,26160298,26160299,257252671,65564164,258422576 Dl.O(d2) = 262485920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6671976, s2 = 8599533, dlinesl.size( ) = 2 s1 = 6671976, s2 = 8599533, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6671976, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 6680096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6680096, s2 = 3761059, int(edited[s2]) = 0 s1 = 6680096, s2 = 3761059, d1 = 26, d2 = 35 Dl.O(d1) = 257252761 Dl.O(d2) = 130407193,116567737,102469096,88465708,74832511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6680096, s2 = 3761059, dlinesl.size( ) = 48 s1 = 14932007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2657505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2657505, s2 = 366717, int(edited[s2]) = 0 s1 = 2657505, s2 = 366717, d1 = 13, d2 = 1 Dl.O(d1) = 74934412,65754546,53697063,257852455,258451774,18908434,13476794 Dl.O(d2) = 18908435,255284766,17831445,17831270,12626170,8572011,5567868,3451875,2045175,1172572,658193,658191,1172565,2045151,2275036,3798307,6070765,9268276,13539095,18974321,25582238,23969278,23969277,17831298,12626194,12626195,17831301,24178113,17809831,17809833,17834715,12629042,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,15754493,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,22362987,16209625,16209628,13607240,9317553,9317554,13607260,19060736,25684166,33056276,26263645,26263646,31670620,31670619,34129999,26263641,19543771,19543772,24185100,24065209,24065210,31570842,33432858,25663518,19043697,13594171,9308345,9308344,13594168,19043692,25663510,31667154,39857507,31174937,31174938,23983876,17837221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2657505, s2 = 366717, dlinesl.size( ) = 2 s1 = 2657505, s2 = 366717, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2657505, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 15394882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7553086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7553086, s2 = 10672831, int(edited[s2]) = 0 s1 = 7553086, s2 = 10672831, d1 = 41, d2 = 49 Dl.O(d1) = 267761138 Dl.O(d2) = 2135868,2135869,3583937,3888331,3888330,254667167,8855172,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224782,4083141,4083142,6516603,9051805,10646958,7281635,7281634,11000134,15871085,18077775,12816428,254904790,13798916,19299623,254472298,9199122,9199123,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699728,12796057,10600410,10600409,15346247,21317269,23623233,268019784,13369219,18773202,18052723,12798127,8701251,5663805,3522573,2095686,2095687,3522575,254623521,12798138,18052735,21966567,21966568,21679060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7553086, s2 = 10672831, dlinesl.size( ) = 2 s1 = 7553086, s2 = 10672831, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7553086, Dl.E( ) = 68, 3.5e-05 seconds used appending s1 = 14484466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2745713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2745713, s2 = 2063183, int(edited[s2]) = 0 s1 = 2745713, s2 = 2063183, d1 = 4, d2 = 14 Dl.O(d1) = 79265141 Dl.O(d2) = 257265629,257265631,53835921,256705477,34213245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11129914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2416552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16270609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14692270, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2420739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13297867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13297867, s2 = 16012508, int(edited[s2]) = 0 s1 = 13297867, s2 = 16012508, d1 = 42, d2 = 15 Dl.O(d1) = 19809377,14189370,14189372,19809381,26618908,26618909,34607023,269173169 Dl.O(d2) = 133055319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13297867, s2 = 16012508, dlinesl.size( ) = 2 s1 = 13297867, s2 = 16012508, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13297867, Dl.E( ) = 62, 1.31e-05 seconds used appending s1 = 2883332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14906551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2757507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2758214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13299281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14928747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14928747, s2 = 7620012, int(edited[s2]) = 0 s1 = 14928747, s2 = 7620012, d1 = 68, d2 = 31 Dl.O(d1) = 261545568,260982110,259776668 Dl.O(d2) = 269705525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14928747, s2 = 7620012, dlinesl.size( ) = 2 s1 = 14928747, s2 = 7620012, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14928747, Dl.E( ) = 74, 4.2e-05 seconds used appending s1 = 6582082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16105042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2081603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2081603, s2 = 3349263, int(edited[s2]) = 0 s1 = 2081603, s2 = 3349263, d1 = 22, d2 = 16 Dl.O(d1) = 55259491,67601219 Dl.O(d2) = 109381737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2081603, s2 = 3349263, dlinesl.size( ) = 26 s1 = 16051959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15203785, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14082962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1729475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1729475, s2 = 6060176, int(edited[s2]) = 0 s1 = 1729475, s2 = 6060176, d1 = 66, d2 = 8 Dl.O(d1) = 44515859,44515860,55362179,67702021 Dl.O(d2) = 240760616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1729475, s2 = 6060176, dlinesl.size( ) = 2 s1 = 1729475, s2 = 6060176, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1729475, Dl.E( ) = 90, 2.1e-05 seconds used appending s1 = 6807158, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11203726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6845940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15880323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8477546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11204088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2446919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2447726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2449146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2449146, s2 = 11363500, int(edited[s2]) = 0 s1 = 2449146, s2 = 11363500, d1 = 5, d2 = 94 Dl.O(d1) = 68130383 Dl.O(d2) = 98900996,260539531,140088021,152779145,164614720,164614721,261845264,140088021,273532301,188824941,263295216,158282574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2449146, s2 = 11363500, dlinesl.size( ) = 2 s1 = 2449146, s2 = 11363500, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2449146, Dl.E( ) = 106, 2.81e-05 seconds used appending s1 = 1393288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1393288, s2 = 11658911, int(edited[s2]) = 0 s1 = 1393288, s2 = 11658911, d1 = 25, d2 = 26 Dl.O(d1) = 35409017,254714856 Dl.O(d2) = 98689468,84762331,84762332,98689470,98689462,98689463,98689471,259307334,126546606,126546607,139910076,126546615,112683918,98689468,84762331,84762332,98689470,98689462,98689463,98689471,259307334,112683917,98689466,258680600,71193937,58472405,47094491,37198603,28675894,21427722,254733804,254334696,254225947,1546827,2670607,4445605,7061142,268072211,15458845,255837131,37245258,47150591,58538988,71270617,84844565,98771388,112761325,260269938,152669921,164514669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1393288, s2 = 11658911, dlinesl.size( ) = 20 s1 = 2450089, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14948207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14917687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2780979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2780979, s2 = 10376116, int(edited[s2]) = 0 s1 = 2780979, s2 = 10376116, d1 = 14, d2 = 22 Dl.O(d1) = 82579043 Dl.O(d2) = 269349306,73216556,86829611,100811121,114862941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2780979, s2 = 10376116, dlinesl.size( ) = 2 s1 = 2780979, s2 = 10376116, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2780979, Dl.E( ) = 32, 1.38e-05 seconds used appending s1 = 2781035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2781052, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8283457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15985382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16176595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15903829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14860271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11296984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16177371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8390689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2788354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3092665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15706714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15706714, s2 = 13000464, int(edited[s2]) = 0 s1 = 15706714, s2 = 13000464, d1 = 27, d2 = 30 Dl.O(d1) = 9027802,13237517,18221148,24688456,32299464,41109890,51289588,62964788 Dl.O(d2) = 125620873,111806308,97873888,84005119,70471483,258630215,46418272,36555048,28086017,20912843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15706714, s2 = 13000464, dlinesl.size( ) = 2 s1 = 15706714, s2 = 13000464, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15706714, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 10155631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10155631, s2 = 14583282, int(edited[s2]) = 0 s1 = 10155631, s2 = 14583282, d1 = 0, d2 = 0 Dl.O(d1) = 114479051,128355681,127949300,127949299,141308916,260737922,166099584,261309988,114478975,100453843,100453842,114478974,112305970,98323056,98323055,87596839,73995954,73995953,72483171,72483173,72898986,60162203,49738250,39719440,39719441,49738255,61216881,73995973,87596861,260098321,125936347,272252887,114479041,114479042,128355674,141703399,139542583,126978272,126978274,128034216,128034215,261132666,128355646,114479009,114479012,102164460,88173649,88173650,74839099,62042003,50549964,50549965,62042007,74839105,259545883,260141202,259955346,100453894,87596826,87596827,101560220,114145275,100111655,100111654,112103249,112103250,125936348,261133192,128355685,115597361,101560296,101560295,259483071,73995947,61216870,61216871,73995949,87596834,101560237,115597294,126166762,112305988,98323070,84413406,84413389,70855833,58141516,46773602,257420871,258128248,70855834,74133101,84413409,87986195,87986196,101959306,270321974,269339702,46773609,270321976,70855845,58141525,58141524,70855842,70855850,70855849,258100694,70326608,83851966,258388792,70855837,58178126,46810734,36932344,28433570,21209448,21209449,28433573,29108490,21809699,15747909,10906809,7213581,4545027,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,24034131,31536759,28367183,21150686,15196555,15196556,21150765,21150755,18528992,18528993,22330835,16184510,11250063,11250066,15198873,21150663,23676366,31164661,28369745,28369744,22291707,255900701,38210410,256002777,17516464,12352196,8345472,8345474,12352204,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911014,10482227,15197449,17516715,21153912,15198653,15198657,21153925,22141333,28368528,28367203,28367202,21151396,15196947,15196946,21151264,15196854,15196855,10482392,10482391,15197756,16946089,23218695,30641872,23676253,17356323,12226830,8255110,8255108,12226824,17356313,22007843,15906832,11028398,11028399,15906836,22007849,27069317,23218777,16946157,16946156,23218775,28371274,31165484,23677285,17357124,17357126,23677292,28367080,28367079,21154014,15198705,10482886,10482887,15198707,16949155,11862254,11862253,16949153,15196687,15196685,21150981,23217819,23218707,17355465,12226291,12226292,17355467,17356216,16948610,16947289,11861042,11861041,12316116,8319066,5368162,254592121,12316120,17469252,23675423,23219466,23218344,16945800,11860098,11860097,12227321,12227320,17357110,23677264,17357150,12227346,8255399,8255398,12227343,16950114,16630520,16630521,17357345,17357342,17357337,12227477,8255486,5325678,3273401,3273400,5325676,8255493,255164193,23677547,31165712,30351466,22949821,22949822,23130214,30548537,39146355,49076111,60149042,48754733,257568603,48756807,48754736,39847439,31165701,23677537,256002803,31768262,39847437,38834187,30250529,22855815,22855814,22949830,16713072,11671382,11671383,16713074,22949833,30351476,268685715,24084018,17726690,12541476,12541475,255582635,24084026,17726697,12541481,12541482,17726698,24084028,31588753,31695294,268685534,31588742,31588442,31588441,268260697,12541480,17726695,17726710,12541490,268116685,12541230,17726322,255197928,31588443,31588444,31588445,31588446,24083872,17726561,17726560,24083871,17726673,12541461,12541462,268002356,8501858,8501859,12541474,17726687,24083589,24083588,24169709,17802311,17802310,12601977,12601974,12601988,12601989,17726623,12541441,8501838,5503026,3392336,1999252,1142741,641020,355790,267746419,1142744,1999260,3392349,5503049,8501886,12541522,17726757,24084100,31588813,40274453,40274452,40274674,255464670,17726753,17726754,24084094,31588804,24168651,17801083,12601008,8551232,5549349,5549350,254606364,254866274,12601002,17801077,24168640,24156078,19701105,19701104,254276988,42125423,34319700,34319701,31677316,24168637,24168638,31677317,254996362,34319689,34319688,43419845,34318761,26440396,19701107,14125897,14125736,9718202,6393160,6393157,4881604,4881603,7712987,11587412,8569203,8569206,12608118,8569171,8569169,8551524,5549492,4012373,2404647,2404645,4012369,6393703,9719085,14127039,19702607,19702625,19702624,26441816,254612322,44353689,43420432,43420431,50220529,50212705,40190622,40190621,50212704,61694626,50212693,40190615,31505386,31505385,40190611,47257466,47257465,57739271,57739272,70433675,83959992,71384511,71384512,70433682,57739277,46389204,36529094,36529093,40177644,31492214,31492213,36619089,36619088,255742430,70543632,60029377,48636469,38718549,38718550,37643874,37643875,43420433,34319693,34319694,43420435,53946758,66016807,73419307,67711590,67711591,55371818,44525655,35149098,27063286,27063285,32414111,32414110,35149078,27063265,27063264,20169234,14470635,9956283,268049095,20169238,27063292,268471087,24789039,32414116,41239292,35149080,27063269,20169221,14470628,14470629,20169223,25233750,32414139,32414140,35149079,32414137,24789067,18306616,18306615,24789065,32414144,41239325,51437224,51437228,41239327,32414146,30170354,255922870,38753367,38753366,41239315,51437218,48039912,257512933,48039909,257512931,72170554,72170556,268750606,49738272,49738271,49738275,61216898,59431988,48039917,38126748,29561237,29561235,38126745,39719368,31041687,31041689,39719361,268986913,31041701,23559190,17249509,12130809,8161724,5232039,3193038,3193041,5232043,8161733,12130820,255545017,268249807,17249583,17249575,12130851,8161750,5232055,5232056,6594010,4131085,2471197,254319117,1629701,1822166,1822168,3117859,5129429,5118877,3109436,1816995,1037504,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,1810295,1810292,1838673,3143612,3150519,3115963,3115964,1843175,1051800,1051799,1036009,1036011,1814298,1842690,1051546,1051545,1051778,1051779,1843132,3150343,5168125,7546047,7546048,8018457,5107047,3100601,3100602,5107049,5170490,5170489,255145877,17091218,12003924,8058706,5150578,3134924,1832885,1046028,1046031,1832864,3107088,4994145,5111079,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3152080,5102720,3097476,1809799,1033770,582557,325684,325683,582552,1033760,1038655,254256251,5123881,5134621,8020407,5120362,3110649,3110650,5120364,4678910,2818867,2818866,3104880,3104881,5112700,5153984,5153983,8022855,5137289,3123895,1825965,1047038,1047040,1834753,3104137,5111811,5111787,3104129,3104131,5111794,8022868,5153974,5153973,7526996,5228799,5228800,5134729,3121921,1824705,1041557,586460,586459,1041553,1824699,3121909,1828195,1828194,254383437,8050703,11997841,8071980,5165843,5165842,8071983,8081095,254379078,4836013,4657638,2805908,2805909,4657640,5125429,5125430,5103824,5103823,8015462,8045989,8045990,8035862,5125708,5125709,8014788,5103148,4836059,2914014,1690390,961220,541691,303545,303547,541704,961258,1690459,2868740,2868741,3123623,3123624,3102826,1812931,1035254,1035253,947375,947373,1665332,2869461,4760445,254176492,8033935,11984448,12002615,16286882,11329311,7526119,267976961,8044645,5134714,5134715,8044648,11993058,8046996,8046999,11995216,11975811,8048083,8048084,11995998,11987284,11325975,7522441,4756552,2866918,2866919,4756556,7522449,5108515,5108516,6830750,10368354,15041120,12014530,11995227,8047008,8047009,11995231,11326458,11326457,7993336,5088098,5088096,7975553,5075361,3077782,3077785,5075368,7975564,11921295,8042586,5133112,5133108,7975056,8074011,7527970,4761224,4761225,5177861,5177860,8081848,12021635,12018379,8077632,8077631,10772039,7117405,4481250,4481251,7117409,10772045,11990086,16962504,11939752,7990934,5086115,5086116,7970695,7670748,7670747,9338161,6116596,3826963,2292716,2292717,2692342,2692343,4480987,7116967,7116981,10771444,15572227,17103003,17103002,15573219,10772406,7117679,4481419,2692589,2692590,4481424,7117692,7169031,7169032,10844581,11305840,7506174,7506175,8655871,5630200,5630198,4744588,4744589,7505924,7505923,11305500,15571526,16287180,11915548,11915552,7999663,7999665,8618214,8077366,5172300,3154039,1845582,1845580,3154044,5172320,8077401,11330621,11330623,14930233,12009924,8067307,8067309,11944446,15572218,11542110,11542109,15574949,15574948,11374547,11374549,16011895,17249532,17249531,17249536,12130825,8161735,8161734,12130824,17249534,23559219,31041733,255545012,255791519,28086181,31041708,31041710,23559202,20913008,15007873,10337933,6805204,6805203,10337932,15007870,20913001,20913002,28086166,28086188,20913027,20913026,20913032,20913031,28086157,36555182,36555178,28086156,20912993,15007862,10337926,255004323,20912989,28086151,28086189,23559194,17249512,12130811,255157133,23559192,31041705,28086162,28086163,268904469,57772162,70471580,258006067,46418405,36555204,36555203,46418380,36555175,36555174,46418378,57772153,258630231,70471578,84005199,70471609,70471601,57772179,57772178,70471600,84005211,84005195,84005194,73995882,73995881,61216804,61216803,73995889,87596786,101560199,111806385,97873950,87931017,87931016,260695491,87596783,87596782,101560196,87931019,74328109,61551736,50073356,40053555,40053556,269399541,73448442,60700505,49299237,49299238,258214385,87066060,74328118,74328119,87931033,256306230,85435239,99376543,85435238,85435237,99376541,268913970,99012527,257423802,113377117,111806381,97873945,97873946,111806383,99376546,99376547,268913966,71514544,71514543,85086991,99012526,113001340,99012539,85087003,85087004,85435230,85435231,99376528,99012510,99012511,85087005,71514552,58784452,58784451,71514550,85086974,71514524,71514525,71514526,71514527,85086976,99012513,95152305,85087008,85087009,91714235,258033592,87955198,87955197,85087007,258225874,87955196,74352911,74352910,270000184,99012517,95332529,81273571,258162064,55464726,67806230,74179193,61399016,49918915,49918914,58071347,58071348,70788456,58071159,58071158,256520174,36816441,28320358,21110000,21110001,28320360,36816446,46699234,47659916,37738156,29177367,29177368,37738158,32723420,32723419,27150680,27150681,35249106,28176912,20995427 Dl.O(d2) = 114479051,128355681,127949300,127949299,141308916,260737922,166099584,261309988,114478975,100453843,100453842,114478974,112305970,98323056,98323055,87596839,73995954,73995953,72483171,72483173,72898986,60162203,49738250,39719440,39719441,49738255,61216881,73995973,87596861,260098321,125936347,272252887,114479041,114479042,128355674,141703399,139542583,126978272,126978274,128034216,128034215,261132666,128355646,114479009,114479012,102164460,88173649,88173650,74839099,62042003,50549964,50549965,62042007,74839105,259545883,260141202,259955346,100453894,87596826,87596827,101560220,114145275,100111655,100111654,112103249,112103250,125936348,261133192,128355685,115597361,101560296,101560295,259483071,73995947,61216870,61216871,73995949,87596834,101560237,115597294,126166762,112305988,98323070,84413406,84413389,70855833,58141516,46773602,257420871,258128248,70855834,74133101,84413409,87986195,87986196,101959306,270321974,269339702,46773609,270321976,70855845,58141525,58141524,70855842,70855850,70855849,258100694,70326608,83851966,258388792,70855837,58178126,46810734,36932344,28433570,21209448,21209449,28433573,29108490,21809699,15747909,10906809,7213581,4545027,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,24034131,31536759,28367183,21150686,15196555,15196556,21150765,21150755,18528992,18528993,22330835,16184510,11250063,11250066,15198873,21150663,23676366,31164661,28369745,28369744,22291707,255900701,38210410,256002777,17516464,12352196,8345472,8345474,12352204,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911014,10482227,15197449,17516715,21153912,15198653,15198657,21153925,22141333,28368528,28367203,28367202,21151396,15196947,15196946,21151264,15196854,15196855,10482392,10482391,15197756,16946089,23218695,30641872,23676253,17356323,12226830,8255110,8255108,12226824,17356313,22007843,15906832,11028398,11028399,15906836,22007849,27069317,23218777,16946157,16946156,23218775,28371274,31165484,23677285,17357124,17357126,23677292,28367080,28367079,21154014,15198705,10482886,10482887,15198707,16949155,11862254,11862253,16949153,15196687,15196685,21150981,23217819,23218707,17355465,12226291,12226292,17355467,17356216,16948610,16947289,11861042,11861041,12316116,8319066,5368162,254592121,12316120,17469252,23675423,23219466,23218344,16945800,11860098,11860097,12227321,12227320,17357110,23677264,17357150,12227346,8255399,8255398,12227343,16950114,16630520,16630521,17357345,17357342,17357337,12227477,8255486,5325678,3273401,3273400,5325676,8255493,255164193,23677547,31165712,30351466,22949821,22949822,23130214,30548537,39146355,49076111,60149042,48754733,257568603,48756807,48754736,39847439,31165701,23677537,256002803,31768262,39847437,38834187,30250529,22855815,22855814,22949830,16713072,11671382,11671383,16713074,22949833,30351476,268685715,24084018,17726690,12541476,12541475,255582635,24084026,17726697,12541481,12541482,17726698,24084028,31588753,31695294,268685534,31588742,31588442,31588441,268260697,12541480,17726695,17726710,12541490,268116685,12541230,17726322,255197928,31588443,31588444,31588445,31588446,24083872,17726561,17726560,24083871,17726673,12541461,12541462,268002356,8501858,8501859,12541474,17726687,24083589,24083588,24169709,17802311,17802310,12601977,12601974,12601988,12601989,17726623,12541441,8501838,5503026,3392336,1999252,1142741,641020,355790,267746419,1142744,1999260,3392349,5503049,8501886,12541522,17726757,24084100,31588813,40274453,40274452,40274674,255464670,17726753,17726754,24084094,31588804,24168651,17801083,12601008,8551232,5549349,5549350,254606364,254866274,12601002,17801077,24168640,24156078,19701105,19701104,254276988,42125423,34319700,34319701,31677316,24168637,24168638,31677317,254996362,34319689,34319688,43419845,34318761,26440396,19701107,14125897,14125736,9718202,6393160,6393157,4881604,4881603,7712987,11587412,8569203,8569206,12608118,8569171,8569169,8551524,5549492,4012373,2404647,2404645,4012369,6393703,9719085,14127039,19702607,19702625,19702624,26441816,254612322,44353689,43420432,43420431,50220529,50212705,40190622,40190621,50212704,61694626,50212693,40190615,31505386,31505385,40190611,47257466,47257465,57739271,57739272,70433675,83959992,71384511,71384512,70433682,57739277,46389204,36529094,36529093,40177644,31492214,31492213,36619089,36619088,255742430,70543632,60029377,48636469,38718549,38718550,37643874,37643875,43420433,34319693,34319694,43420435,53946758,66016807,73419307,67711590,67711591,55371818,44525655,35149098,27063286,27063285,32414111,32414110,35149078,27063265,27063264,20169234,14470635,9956283,268049095,20169238,27063292,268471087,24789039,32414116,41239292,35149080,27063269,20169221,14470628,14470629,20169223,25233750,32414139,32414140,35149079,32414137,24789067,18306616,18306615,24789065,32414144,41239325,51437224,51437228,41239327,32414146,30170354,255922870,38753367,38753366,41239315,51437218,48039912,257512933,48039909,257512931,72170554,72170556,268750606,49738272,49738271,49738275,61216898,59431988,48039917,38126748,29561237,29561235,38126745,39719368,31041687,31041689,39719361,268986913,31041701,23559190,17249509,12130809,8161724,5232039,3193038,3193041,5232043,8161733,12130820,255545017,268249807,17249583,17249575,12130851,8161750,5232055,5232056,6594010,4131085,2471197,254319117,1629701,1822166,1822168,3117859,5129429,5118877,3109436,1816995,1037504,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,1810295,1810292,1838673,3143612,3150519,3115963,3115964,1843175,1051800,1051799,1036009,1036011,1814298,1842690,1051546,1051545,1051778,1051779,1843132,3150343,5168125,7546047,7546048,8018457,5107047,3100601,3100602,5107049,5170490,5170489,255145877,17091218,12003924,8058706,5150578,3134924,1832885,1046028,1046031,1832864,3107088,4994145,5111079,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3152080,5102720,3097476,1809799,1033770,582557,325684,325683,582552,1033760,1038655,254256251,5123881,5134621,8020407,5120362,3110649,3110650,5120364,4678910,2818867,2818866,3104880,3104881,5112700,5153984,5153983,8022855,5137289,3123895,1825965,1047038,1047040,1834753,3104137,5111811,5111787,3104129,3104131,5111794,8022868,5153974,5153973,7526996,5228799,5228800,5134729,3121921,1824705,1041557,586460,586459,1041553,1824699,3121909,1828195,1828194,254383437,8050703,11997841,8071980,5165843,5165842,8071983,8081095,254379078,4836013,4657638,2805908,2805909,4657640,5125429,5125430,5103824,5103823,8015462,8045989,8045990,8035862,5125708,5125709,8014788,5103148,4836059,2914014,1690390,961220,541691,303545,303547,541704,961258,1690459,2868740,2868741,3123623,3123624,3102826,1812931,1035254,1035253,947375,947373,1665332,2869461,4760445,254176492,8033935,11984448,12002615,16286882,11329311,7526119,267976961,8044645,5134714,5134715,8044648,11993058,8046996,8046999,11995216,11975811,8048083,8048084,11995998,11987284,11325975,7522441,4756552,2866918,2866919,4756556,7522449,5108515,5108516,6830750,10368354,15041120,12014530,11995227,8047008,8047009,11995231,11326458,11326457,7993336,5088098,5088096,7975553,5075361,3077782,3077785,5075368,7975564,11921295,8042586,5133112,5133108,7975056,8074011,7527970,4761224,4761225,5177861,5177860,8081848,12021635,12018379,8077632,8077631,10772039,7117405,4481250,4481251,7117409,10772045,11990086,16962504,11939752,7990934,5086115,5086116,7970695,7670748,7670747,9338161,6116596,3826963,2292716,2292717,2692342,2692343,4480987,7116967,7116981,10771444,15572227,17103003,17103002,15573219,10772406,7117679,4481419,2692589,2692590,4481424,7117692,7169031,7169032,10844581,11305840,7506174,7506175,8655871,5630200,5630198,4744588,4744589,7505924,7505923,11305500,15571526,16287180,11915548,11915552,7999663,7999665,8618214,8077366,5172300,3154039,1845582,1845580,3154044,5172320,8077401,11330621,11330623,14930233,12009924,8067307,8067309,11944446,15572218,11542110,11542109,15574949,15574948,11374547,11374549,16011895,17249532,17249531,17249536,12130825,8161735,8161734,12130824,17249534,23559219,31041733,255545012,255791519,28086181,31041708,31041710,23559202,20913008,15007873,10337933,6805204,6805203,10337932,15007870,20913001,20913002,28086166,28086188,20913027,20913026,20913032,20913031,28086157,36555182,36555178,28086156,20912993,15007862,10337926,255004323,20912989,28086151,28086189,23559194,17249512,12130811,255157133,23559192,31041705,28086162,28086163,268904469,57772162,70471580,258006067,46418405,36555204,36555203,46418380,36555175,36555174,46418378,57772153,258630231,70471578,84005199,70471609,70471601,57772179,57772178,70471600,84005211,84005195,84005194,73995882,73995881,61216804,61216803,73995889,87596786,101560199,111806385,97873950,87931017,87931016,260695491,87596783,87596782,101560196,87931019,74328109,61551736,50073356,40053555,40053556,269399541,73448442,60700505,49299237,49299238,258214385,87066060,74328118,74328119,87931033,256306230,85435239,99376543,85435238,85435237,99376541,268913970,99012527,257423802,113377117,111806381,97873945,97873946,111806383,99376546,99376547,268913966,71514544,71514543,85086991,99012526,113001340,99012539,85087003,85087004,85435230,85435231,99376528,99012510,99012511,85087005,71514552,58784452,58784451,71514550,85086974,71514524,71514525,71514526,71514527,85086976,99012513,95152305,85087008,85087009,91714235,258033592,87955198,87955197,85087007,258225874,87955196,74352911,74352910,270000184,99012517,95332529,81273571,258162064,55464726,67806230,74179193,61399016,49918915,49918914,58071347,58071348,70788456,58071159,58071158,256520174,36816441,28320358,21110000,21110001,28320360,36816446,46699234,47659916,37738156,29177367,29177368,37738158,32723420,32723419,27150680,27150681,35249106,28176912,20995427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10155631, s2 = 14583282, dlinesl.size( ) = 2 s1 = 10155631, s2 = 14583282, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10155631, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 2791637, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6861803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16391635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16391635, s2 = 732267, int(edited[s2]) = 0 s1 = 16391635, s2 = 732267, d1 = 1, d2 = 1 Dl.O(d1) = 163572223,151693019,272164703,111836308,97903132,84033400,70498688,57797979,46442831,256818973,28105857,20929420,15021276,10348931,6813992,4273905,2555294,1471882,1471881,2555291,4273898,6813979,10348914,15021259,20168415,255185278,15021275,20929418,256280851,46442830,57797978,70498687,84033399,84033398,84033399,97903131,270793342,85913981,85913982,99869217,113887777,260482468,113887776,99869215,85913981,72320764,72320765,85913983,99869212,99869213,99869214,85913979,72320761,59586312,59586311,48199819,38290458,29723605,255647508,16213060,22367171,19035024,19035025,254420672,7127977,7127981,10788549,13692610,13692609,14193414,19814702,14193613,9757345,8601097,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536542,8538475,12586087,17783413,17088484,12001027,12001026,17088483,20825592,20825593,27990068,36448751,28899123,21623944,15593375,10787210,10787209,267821982,13310089,9091191,9091194,13310068,18703285,25275777,33000763,41942636,258386773,91204179,105426447,119664485,113439161,99437289,85495758,71910735,59172822,47773977,37850925,29283007,21957704,254538276,7279406,5574154 Dl.O(d2) = 163572223,151693019,272164703,111836308,97903132,84033400,70498688,57797979,46442831,256818973,28105857,20929420,15021276,10348931,6813992,4273905,2555294,1471882,1471881,2555291,4273898,6813979,10348914,15021259,20168415,255185278,15021275,20929418,256280851,46442830,57797978,70498687,84033399,84033398,84033399,97903131,270793342,85913981,85913982,99869217,113887777,260482468,113887776,99869215,85913981,72320764,72320765,85913983,99869212,99869213,99869214,85913979,72320761,59586312,59586311,48199819,38290458,29723605,255647508,16213060,22367171,19035024,19035025,254420672,7127977,7127981,10788549,13692610,13692609,14193414,19814702,14193613,9757345,8601097,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536542,8538475,12586087,17783413,17088484,12001027,12001026,17088483,20825592,20825593,27990068,36448751,28899123,21623944,15593375,10787210,10787209,267821982,13310089,9091191,9091194,13310068,18703285,25275777,33000763,41942636,258386773,91204179,105426447,119664485,113439161,99437289,85495758,71910735,59172822,47773977,37850925,29283007,21957704,254538276,7279406,5574154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16391635, s2 = 732267, dlinesl.size( ) = 2 s1 = 16391635, s2 = 732267, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16391635, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 6899179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6899179, s2 = 11639872, int(edited[s2]) = 0 s1 = 6899179, s2 = 11639872, d1 = 107, d2 = 141 Dl.O(d1) = 259880417 Dl.O(d2) = 247214790,247214791,267625114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6899179, s2 = 11639872, dlinesl.size( ) = 58 s1 = 2793767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9661356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2466466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15981103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7954866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14073160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14073160, s2 = 14940126, int(edited[s2]) = 0 s1 = 14073160, s2 = 14940126, d1 = 7, d2 = 7 Dl.O(d1) = 268226932,71875146,79234711,85127106,71556583,71556584,59664357,48276554,38365120,29792462,22426584,16259953,16259955,22426590,255911902,38365036,29792498,22426605,22426606,29792501,255472096,22426569,16259944,11304784,7505409,4744236,4744235,7505407,11304782,16259941,22426550,255911935,38365086,38365128,48276562,48276462,38365026,29792353,22426495,16259891,16259890,16259910,16259909,16199269,16199268,22349655,17283306,12162293,12162292,16190288,22337910,29690380,38255623,39327735,30729643,23311249,17049089,17049090,23311256,29792325,29792326,22426529,22426528,29791249,22425712,16259335,11304334,7505117,7505115,4744238,2859193,1659404,1659403,254356223,7505404,11304778,16259930,22426553,29792422,267979502,267832164,11304748,11304749,16259894,255093202,16199274,11260785,7475552,7475553,11260786,11260799,11260800,11254219,11254220,15664435,21706118,254356204,11304739,11304740,11304743,16259884,22426483,28999293,21714313,21714312,22425614,16259262,16259263,21929921,21929922,17049097,11960580,11304774,11304775,16259927,16259948,11304786,11304787,16259950,22426579,19193397,16199263,16199264,22349651,16259571,11304516,8067781,5161780,254533240,2859188,2859187,4744227,7505387,267830784,16259568,11304513,7505241,4744118,2859118,2859119,4744120,267976453,22426045,28912876,22425619,16259264,11304271,11304273,16259268,21203130,254167452,36925366,46803546,58170924,255093254,50361383,40334054,40334052,50361380,48975959,39054241,39054243,48975967,59826777,48440741,48440740,48440748,59826779,52539279,42180818,33221333,33221336,33221378,42180803,52537377,64410010,64412969,64409883,52536717,42179032,257201003,64409880,77577788,91508478,91512958,77581850,77581851,86721462,91509893,91509891,77579036,258406449,52537489,42179596,42179597,52537490,64410916,77579038,71411086,71411088,268909250,42179602,42179601,52537496,64410923,77579046,91509908,91509866,77579005,64410887,52537462,52537461,64410882,64411968,77580217,77579160,64411024,52537575,52537576,64411027,77579165,258642966,91511780,91511781,98463273,258243980,46894402,37014763,28515152,21293988,15327609,10586520,254497539,4388272,6983726,10586517,15327604,21293980,28515136,37014730,46894338,58261597,70977518,84540898,98463145,88328852,74701114,61907583,50417163,40382747,40382746,255802062,74701108,88328839,102324642,95235916,81180491,70977090,70977091,84540419,98462670,112453073,112453020,98462616,98462617,98462774,84541057,70977647,70977646,84541053,98463286,98463278,84541049,70977643,70977642,77577303,91508000,257408168,84405447,70847888,62733604,51102602,51102601,62733597,75679837,258642608,70689781,84239679,98134251,112093977,255802012,102404524,97721895,97721894,267879850,57647634,57647635,254489292,72296942,85889704,95181284,256290508,67656207,81122869,95181282,95181264,84108569,255375216,83863314,70338121,57647630,57647629,70338120,70338003,70338004,255012324,85692091,72296955,59562526,254489316,38266276,29700192,22346094,22346095,29700197,38266281,46302793,36449859,27991366,20827014,20827015,27991370,36449868,46302804,57647580,70338042,254716884,48175867,59562520,255374986,59562509,48175858,38266272,254716968,59562513,72296938,85889698,77576693,70338225,70338226,70692284,73425414,73425415,70338244,70338243,75679784,70337955,57647507,46302755,36449839,27991355,27991353,27991395,36449917,46302887,57647730,70338280,70338115,57647626,57647627,70338118,72106203,59373700,47983783,47983784,59373704,70338257,254489326,97722126,84240563,84240564,84246127,95236049,81180648,67715558,55375866,44529715,35153443,27067642,20173029,14473689,9958527,9958526,14473685,20173019,27067622,35153412,44529652,44529655,55375927,270138635,81341895,67875138,55524587,55524588,55375932,49276998,39350357,30750145,30750146,39350363,49277062,39351202,30750940,30750941,39350350,39349767,39349766,49276374,60677490,49276712,39350092,30749960,30749958,39349480,255978167,17061794,17061799,17062185,11970559,8014494,5102948,5102949,8014500,11970568,11970739,17062451,17062594,17062595,17062160,17062162,23328415,30750354,23328593,17062273,11970623,8014538,8014539,8014606,8014605,11970730,17062432,23328874,30749467,23328795,17062386,17062387,23328802,30749649,30749647,256479944,23328392,17062151,17062152,23328394,30750320,28170692,28170691,36646183,46513681,37024770,37024771,46902470,58268328,59451982,48060795,38148016,38148015,36699129,28208244,28208246,21034678,21034679,256287769,20989984,15076711,15076712,20989986,28170675,36646160,46513670,46514011,46514010,36725527,36725528,46613041,46613020,36725512,36725510,36646246,28170742,256001806,28722762,21466560,21466561,255551444,47158489,44543041,35165413,27077734,27077733,270287140,55390298,57870194,57870193,46612967,36725466,28231822,21034720,15108456,10420770,6869738,4311676,4311678,6869741,10420776,15108470,21034743,27077724,268550867,257317389,47908908,37992751,37992750,47908905,59303646,60567921,49168860,39243606,39243608,49168868,58546757,58546758,61393696,60329790,57870108,55390283,44543030,37992424,37992425,257503535,46425227,46425228,57780200,48931719,48931720,50527629,50527631,48931671,48931672,47908945,47908944,59303596,47908835,37992804,37992803,47908949,59303684,59303772,47909087,47909088,38033038,38033037,30164187,30164186,255004640,28436252,28436253,30752239,23329963,17063334,17063336,22098981,15989769,15989770,22098987,28722830,21466610,15465591,10693923,10693924,254877429,5598953,3475420,254194171,664827,368771,201945,110184,110185,201947,368774,664837,1183544,2062152,2019173,1155252,648150,648152,1155257,2019182,3419427,5493338,8492646,5572173,5572172,8482881,5509753,5509751,5501739,5501737,8497091,5529664,5529663,267914913,5532421,5508612,254414391,2014085,1151988,254107243,358601,646240,1151980,2014070,2008052,2008054,3404748,5518049,3413470,2014642,2014643,3407048,3456652,3452378,2045471,1172731,658285,658286,1172734,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2030692,1989343,1175883,660077,365847,200071,200072,365854,660106,1175950,1152112,1152114,1176651,2001458,3393561,2030285,1162662,1155340,648201,648203,1155345,2018983,2018984,3419167,2019526,1155476,648284,359667,359668,648287,1155482,2019537,3419856,5534332,5518971,5518970,3425288,2023694,1158109,649756,649753,1158089,1149105,1149108,1935903,2008602,2008603,3405481,3455040,3455041,3293029,3293025,2048214,1174525,659346,365463,365465,659352,1174534,2048233,3455578,3039097,1769596,1769599,2234809,1296048,1296047,1705594,1705592,2234799,2234798,1705653,1705656,2030692,1989343,1175883,660077,660078,1175888,254188607,638075,638074,1137267,1990256,3380277,254374365,1765889,1006198,567074,567073,318234,175890,175891,318227,317720,317721,566387,317745,317743,567323,1006633,1149466,644827,357865,357861,644861,1149549,2010300,3407636,5520802,7899365,5020521,3038251,3038250,3424563,3424564,5356588,5517060,5517059,3418119,3418118,5532550,8518327,5516552,5492518,5492517,5564038,5018917,5018916,5496921,3386745,1994936,1994932,3386738,3424022,2022834,1157625,1157624,2022831,1174743,659472,365517,199896,108827,59689,59690,108830,199901,365527,659489,1174779,2048577,3455954,3454308,2234620,1295910,1295909,749960,426268,426269,749967,1295879,1295878,2234564,1314014,1314016,2265143,3781278,3408312,2010786,1315020,750524,426531,426532,750528,1315029,2266898,3408386,2010864,2010865,3408391,5521738,8523202,5571004,3455137,3455138,5571005,8575085,268118813,23573074,23573075,31056772,23788015,17457067,12306661,12306662,17457069,23788019,23234344,16961788,16961789,23234347,29661157,38227472,31269587,31269588,23784362,23784363,23788022,23788023,31273481,29661246,22308832,22308831,29661244,38227564,48137721,59232438,47835277,37913937,30499999,23086490,16833239,11771577,7859215,4988150,267898847,10957188,7252470,254344203,1594962,254231431,4573631,7252469,10957187,15811492,21888048,29200542,256482779,48563712,38648349,38648348,30072521,22692576,16491104,16491105,255533145,12014328,8072590,5166712,5166711,8072587,12014322,255533141,26256361,26256360,34121593,268603344,21888033,21888032,29200520,29200536,21888044,255869147,37761947,46678616,46678614,47684099,47684101,43383020,34284325,34284326,34284330,26409267,19674412 Dl.O(d2) = 268226932,71875146,79234711,85127106,71556583,71556584,59664357,48276554,38365120,29792462,22426584,16259953,16259955,22426590,255911902,38365036,29792498,22426605,22426606,29792501,255472096,22426569,16259944,11304784,7505409,4744236,4744235,7505407,11304782,16259941,22426550,255911935,38365086,38365128,48276562,48276462,38365026,29792353,22426495,16259891,16259890,16259910,16259909,16199269,16199268,22349655,17283306,12162293,12162292,16190288,22337910,29690380,38255623,39327735,30729643,23311249,17049089,17049090,23311256,29792325,29792326,22426529,22426528,29791249,22425712,16259335,11304334,7505117,7505115,4744238,2859193,1659404,1659403,254356223,7505404,11304778,16259930,22426553,29792422,267979502,267832164,11304748,11304749,16259894,255093202,16199274,11260785,7475552,7475553,11260786,11260799,11260800,11254219,11254220,15664435,21706118,254356204,11304739,11304740,11304743,16259884,22426483,28999293,21714313,21714312,22425614,16259262,16259263,21929921,21929922,17049097,11960580,11304774,11304775,16259927,16259948,11304786,11304787,16259950,22426579,19193397,16199263,16199264,22349651,16259571,11304516,8067781,5161780,254533240,2859188,2859187,4744227,7505387,267830784,16259568,11304513,7505241,4744118,2859118,2859119,4744120,267976453,22426045,28912876,22425619,16259264,11304271,11304273,16259268,21203130,254167452,36925366,46803546,58170924,255093254,50361383,40334054,40334052,50361380,48975959,39054241,39054243,48975967,59826777,48440741,48440740,48440748,59826779,52539279,42180818,33221333,33221336,33221378,42180803,52537377,64410010,64412969,64409883,52536717,42179032,257201003,64409880,77577788,91508478,91512958,77581850,77581851,86721462,91509893,91509891,77579036,258406449,52537489,42179596,42179597,52537490,64410916,77579038,71411086,71411088,268909250,42179602,42179601,52537496,64410923,77579046,91509908,91509866,77579005,64410887,52537462,52537461,64410882,64411968,77580217,77579160,64411024,52537575,52537576,64411027,77579165,258642966,91511780,91511781,98463273,258243980,46894402,37014763,28515152,21293988,15327609,10586520,254497539,4388272,6983726,10586517,15327604,21293980,28515136,37014730,46894338,58261597,70977518,84540898,98463145,88328852,74701114,61907583,50417163,40382747,40382746,255802062,74701108,88328839,102324642,95235916,81180491,70977090,70977091,84540419,98462670,112453073,112453020,98462616,98462617,98462774,84541057,70977647,70977646,84541053,98463286,98463278,84541049,70977643,70977642,77577303,91508000,257408168,84405447,70847888,62733604,51102602,51102601,62733597,75679837,258642608,70689781,84239679,98134251,112093977,255802012,102404524,97721895,97721894,267879850,57647634,57647635,254489292,72296942,85889704,95181284,256290508,67656207,81122869,95181282,95181264,84108569,255375216,83863314,70338121,57647630,57647629,70338120,70338003,70338004,255012324,85692091,72296955,59562526,254489316,38266276,29700192,22346094,22346095,29700197,38266281,46302793,36449859,27991366,20827014,20827015,27991370,36449868,46302804,57647580,70338042,254716884,48175867,59562520,255374986,59562509,48175858,38266272,254716968,59562513,72296938,85889698,77576693,70338225,70338226,70692284,73425414,73425415,70338244,70338243,75679784,70337955,57647507,46302755,36449839,27991355,27991353,27991395,36449917,46302887,57647730,70338280,70338115,57647626,57647627,70338118,72106203,59373700,47983783,47983784,59373704,70338257,254489326,97722126,84240563,84240564,84246127,95236049,81180648,67715558,55375866,44529715,35153443,27067642,20173029,14473689,9958527,9958526,14473685,20173019,27067622,35153412,44529652,44529655,55375927,270138635,81341895,67875138,55524587,55524588,55375932,49276998,39350357,30750145,30750146,39350363,49277062,39351202,30750940,30750941,39350350,39349767,39349766,49276374,60677490,49276712,39350092,30749960,30749958,39349480,255978167,17061794,17061799,17062185,11970559,8014494,5102948,5102949,8014500,11970568,11970739,17062451,17062594,17062595,17062160,17062162,23328415,30750354,23328593,17062273,11970623,8014538,8014539,8014606,8014605,11970730,17062432,23328874,30749467,23328795,17062386,17062387,23328802,30749649,30749647,256479944,23328392,17062151,17062152,23328394,30750320,28170692,28170691,36646183,46513681,37024770,37024771,46902470,58268328,59451982,48060795,38148016,38148015,36699129,28208244,28208246,21034678,21034679,256287769,20989984,15076711,15076712,20989986,28170675,36646160,46513670,46514011,46514010,36725527,36725528,46613041,46613020,36725512,36725510,36646246,28170742,256001806,28722762,21466560,21466561,255551444,47158489,44543041,35165413,27077734,27077733,270287140,55390298,57870194,57870193,46612967,36725466,28231822,21034720,15108456,10420770,6869738,4311676,4311678,6869741,10420776,15108470,21034743,27077724,268550867,257317389,47908908,37992751,37992750,47908905,59303646,60567921,49168860,39243606,39243608,49168868,58546757,58546758,61393696,60329790,57870108,55390283,44543030,37992424,37992425,257503535,46425227,46425228,57780200,48931719,48931720,50527629,50527631,48931671,48931672,47908945,47908944,59303596,47908835,37992804,37992803,47908949,59303684,59303772,47909087,47909088,38033038,38033037,30164187,30164186,255004640,28436252,28436253,30752239,23329963,17063334,17063336,22098981,15989769,15989770,22098987,28722830,21466610,15465591,10693923,10693924,254877429,5598953,3475420,254194171,664827,368771,201945,110184,110185,201947,368774,664837,1183544,2062152,2019173,1155252,648150,648152,1155257,2019182,3419427,5493338,8492646,5572173,5572172,8482881,5509753,5509751,5501739,5501737,8497091,5529664,5529663,267914913,5532421,5508612,254414391,2014085,1151988,254107243,358601,646240,1151980,2014070,2008052,2008054,3404748,5518049,3413470,2014642,2014643,3407048,3456652,3452378,2045471,1172731,658285,658286,1172734,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2030692,1989343,1175883,660077,365847,200071,200072,365854,660106,1175950,1152112,1152114,1176651,2001458,3393561,2030285,1162662,1155340,648201,648203,1155345,2018983,2018984,3419167,2019526,1155476,648284,359667,359668,648287,1155482,2019537,3419856,5534332,5518971,5518970,3425288,2023694,1158109,649756,649753,1158089,1149105,1149108,1935903,2008602,2008603,3405481,3455040,3455041,3293029,3293025,2048214,1174525,659346,365463,365465,659352,1174534,2048233,3455578,3039097,1769596,1769599,2234809,1296048,1296047,1705594,1705592,2234799,2234798,1705653,1705656,2030692,1989343,1175883,660077,660078,1175888,254188607,638075,638074,1137267,1990256,3380277,254374365,1765889,1006198,567074,567073,318234,175890,175891,318227,317720,317721,566387,317745,317743,567323,1006633,1149466,644827,357865,357861,644861,1149549,2010300,3407636,5520802,7899365,5020521,3038251,3038250,3424563,3424564,5356588,5517060,5517059,3418119,3418118,5532550,8518327,5516552,5492518,5492517,5564038,5018917,5018916,5496921,3386745,1994936,1994932,3386738,3424022,2022834,1157625,1157624,2022831,1174743,659472,365517,199896,108827,59689,59690,108830,199901,365527,659489,1174779,2048577,3455954,3454308,2234620,1295910,1295909,749960,426268,426269,749967,1295879,1295878,2234564,1314014,1314016,2265143,3781278,3408312,2010786,1315020,750524,426531,426532,750528,1315029,2266898,3408386,2010864,2010865,3408391,5521738,8523202,5571004,3455137,3455138,5571005,8575085,268118813,23573074,23573075,31056772,23788015,17457067,12306661,12306662,17457069,23788019,23234344,16961788,16961789,23234347,29661157,38227472,31269587,31269588,23784362,23784363,23788022,23788023,31273481,29661246,22308832,22308831,29661244,38227564,48137721,59232438,47835277,37913937,30499999,23086490,16833239,11771577,7859215,4988150,267898847,10957188,7252470,254344203,1594962,254231431,4573631,7252469,10957187,15811492,21888048,29200542,256482779,48563712,38648349,38648348,30072521,22692576,16491104,16491105,255533145,12014328,8072590,5166712,5166711,8072587,12014322,255533141,26256361,26256360,34121593,268603344,21888033,21888032,29200520,29200536,21888044,255869147,37761947,46678616,46678614,47684099,47684101,43383020,34284325,34284326,34284330,26409267,19674412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14073160, s2 = 14940126, dlinesl.size( ) = 2 s1 = 14073160, s2 = 14940126, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14073160, Dl.E( ) = 8, 1.38e-05 seconds used appending s1 = 7571772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7571772, s2 = 9336812, int(edited[s2]) = 0 s1 = 7571772, s2 = 9336812, d1 = 52, d2 = 63 Dl.O(d1) = 268226502,70704509,70704508 Dl.O(d2) = 12254621,8276261,8276262,12254623,12396814,12396812,12398936,8379286,7409669,5407570,3324368,3324364,5022543,3040173,3040170,4681989,2820977,2820976,2820995,1953737,1116167,626379,348033,190835,104196,104195,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246875,10950305,7246980,7246977,5395506,5395509,8359186,10017342,14557686,15305535,17560259,12389484,9242280,8108412,5194914,5194915,8108425,12059573,17156168,17557600,12678516,8610702,8610701,12056009,12056011,12349055,12349054,8364611,8364610,5423675,3334153,3334156,5423687,8405155,9243124,6956404,6956406,9235860,13499499,18935094,16801804,11748460,8366370,8366368,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376675,8376674,7679677,7679675,8372600,5403545,3322185,3322186,5403552,5473158,8272877,5338081,5338080,8272868,12249311,13515652,13515653,17536345,12368410,8357504,8357506,12265571,10903613,7211252,4543524,4543522,7211261,10903629,12405663,8384329,8384331,12405665,9262740,6066793,6066795,6899257,6899258,10466654,12254185,17389529,17391718,23715567,21121863,15173989,10465079,6898189,4330246,4330249,6898203,10465102,12639784,12639300,8581616,5575947,5575943,6985399,10589342,15332148,12400715,8380630,8380631,12318244,12318242,12263777,12262553,8281238,5342878,5342877,8281233,12262533,267996258,13544816,9272632,6073887,6073886,9272630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7571772, s2 = 9336812, dlinesl.size( ) = 18 s1 = 14930092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14942361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3103408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6638268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6638268, s2 = 8131824, int(edited[s2]) = 0 s1 = 6638268, s2 = 8131824, d1 = 6, d2 = 36 Dl.O(d1) = 256834539,28285593,21079693,15141633,10443127,6884472,4321694,4321692,6884468,10443122,10443205,10443204,15141736,10443199,255015591,21079836,28285754,36782516,257413767,70763657 Dl.O(d2) = 65557910,78892903,78892916,93002762,107410855,261627943,126065096,260194220,112208643,126065076,260322121,92585160,78537640,65247641,53258219,53258220,65247643,78537644,92585166,106904000,121170613,114427138,114427137,261214923,272373254,112208496,112208495,126064936,139436684,127395072,113525030,113525029,270134142,257300980,115140189,129068859,256735516,131873741,118049347,103907586,89806536,89806535,103907584,115139914,257300978,106166492,99461036,99461035,106166496,260893977,273292504,161277859,148972018,262533863,127886477,114007044,114007043,260010364,128438204,115774394,104147785,90023082,76218907,76218906,87756974,99478601,85532148,85532147,99478599,98770466,84843620,71269696,58538109,58538110,70858070,268639512,90023076,76218902,76218901,90023073,92568592,84420061,84420060,98329438,99478595,85532143,85532144,97982777,258462178,60223673,48827194,48827192,268517306,22917994,16684328,255949859,38905252,48827185,60223658,70807071,67758060,55418037,256973884,27103853,35192859,268551422,16506577,16506576,22710589,29411133,22080629,15975011,14497158,9975198,9975199,14497162,20203629,15975114,15975113,22080783,255752300,268829934,72025091,259145616,60854067,60854066,60478667,60478668,60854055,60854056,73603781,87225919,97872452,84003659,71865851,59127491,59127492,71865850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6638268, s2 = 8131824, dlinesl.size( ) = 18 s1 = 11207292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2804723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817018, s2 = 4535638, int(edited[s2]) = 0 s1 = 6817018, s2 = 4535638, d1 = 38, d2 = 70 Dl.O(d1) = 258814636 Dl.O(d2) = 263247220,119683461,105444660,91222157,77302052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6817018, s2 = 4535638, dlinesl.size( ) = 22 s1 = 6890739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6890739, s2 = 1420720, int(edited[s2]) = 0 s1 = 6890739, s2 = 1420720, d1 = 18, d2 = 0 Dl.O(d1) = 259722988 Dl.O(d2) = 36870384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6890739, s2 = 1420720, dlinesl.size( ) = 20 s1 = 6691465, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2478679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2478679, s2 = 6544085, int(edited[s2]) = 0 s1 = 2478679, s2 = 6544085, d1 = 4, d2 = 42 Dl.O(d1) = 70857396 Dl.O(d2) = 255796676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2478679, s2 = 6544085, dlinesl.size( ) = 38 s1 = 16335395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2132265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6690237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6690237, s2 = 14657663, int(edited[s2]) = 0 s1 = 6690237, s2 = 14657663, d1 = 7, d2 = 16 Dl.O(d1) = 257407508 Dl.O(d2) = 263505929,175352380,164590475,164590474,164590478,262666595,261681772,140324140,140059242,126711665,126711664,140059239,152749282,164584413,175346479,273147591,261246663,128931454,261792626,152749286,262666077,164861884,153023292,153023192,140324139,140324140,140059242,126711665,126711664,140059240,152749284,142282122,128931449,260537710,270815305,58643982,256875706,21536975,21536974,28803551,37341539,47251281,258479727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6690237, s2 = 14657663, dlinesl.size( ) = 8 s1 = 8513298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8513298, s2 = 6250054, int(edited[s2]) = 0 s1 = 8513298, s2 = 6250054, d1 = 107, d2 = 86 Dl.O(d1) = 261897252,164183656,152300441,259576294,98351898,84442074 Dl.O(d2) = 244810727,244987980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8513298, s2 = 6250054, dlinesl.size( ) = 10 s1 = 13173767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13173767, s2 = 8309890, int(edited[s2]) = 0 s1 = 13173767, s2 = 8309890, d1 = 10, d2 = 14 Dl.O(d1) = 39243497,36647536,28171900,28171899,36647535,41220182,32396745,24773784 Dl.O(d2) = 49826020,47921972,38006565,38006566,47921973,49826012,39805066,38006569,29443655,22110019,22110018,29443654,38006559,38006560,39805067,39805068,47921970,256922646,22110017,22110016,29443651,38006564,39805070,31124890,23638963,17323325,12198507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13173767, s2 = 8309890, dlinesl.size( ) = 2 s1 = 13173767, s2 = 8309890, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13173767, Dl.E( ) = 32, 9.06e-06 seconds used appending s1 = 2483302, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15597841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15597841, s2 = 7335294, int(edited[s2]) = 0 s1 = 15597841, s2 = 7335294, d1 = 57, d2 = 70 Dl.O(d1) = 259311689 Dl.O(d2) = 265552292,221883023,219050568,274189156,211642594,264198460,193567804,185269363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15597841, s2 = 7335294, dlinesl.size( ) = 24 s1 = 15515109, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1768798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1768798, s2 = 11403122, int(edited[s2]) = 0 s1 = 1768798, s2 = 11403122, d1 = 25, d2 = 21 Dl.O(d1) = 46709307,37337714,28799832,255410651,10733272,10733271,15519333,16025635,15300751,10565093,10565094,15300755,21263410,28481118,33322534,28481133,21263424,21263422,257427777 Dl.O(d2) = 259671731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1768798, s2 = 11403122, dlinesl.size( ) = 14 s1 = 11154048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154048, s2 = 3450457, int(edited[s2]) = 0 s1 = 11154048, s2 = 3450457, d1 = 20, d2 = 11 Dl.O(d1) = 257613552 Dl.O(d2) = 114100497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154048, s2 = 3450457, dlinesl.size( ) = 2 s1 = 11154048, s2 = 3450457, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11154048, Dl.E( ) = 34, 1.22e-05 seconds used appending s1 = 9187948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16272460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16272460, s2 = 1299249, int(edited[s2]) = 0 s1 = 16272460, s2 = 1299249, d1 = 32, d2 = 25 Dl.O(d1) = 64196480,64196479,77343842,91263850,105486449,92982815,92982814,107393427,121778018,135718340,146857486,133599964,133599966,121778020,107393428,92982815,92982814,107393427,121778018,135718340,148957323,148957309,148957308,148957313,161262408,159230821,146857491,146857489,146857487,133599964,119725717,119725718,133599968,146857490,159230819,170568419,172461863,182413089,191115523,264100705,204950997,204950998,210210661,214510826,218045923,221010462,222910770,220241367,217090004,213298868,208667247,203031549,196304930,188439318,179407500,169138921 Dl.O(d2) = 71031383,58315479,46948625,46948626,58315481,70551344,84088188,269766670,57849509,57849553,47095230,268491296,21428235,15435489,10670937,7047818,4435797,4435798,7047820,10670942,15435495,15435481,15435482,21428225,256325677,41705786,52016266,63831378,63831383,52016278,41705798,32790143,25091969,18545977,13177512,13177513,18545861,13177449,13177450,13177523,18545995,25091992,32790026,25091896,25091897,32790029,41705446,41705447,32790016,32789872,25091771,25091772,18545973,18545972,25091958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16272460, s2 = 1299249, dlinesl.size( ) = 2 s1 = 16272460, s2 = 1299249, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16272460, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 8177741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16060629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16271465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6573902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6573902, s2 = 7336096, int(edited[s2]) = 0 s1 = 6573902, s2 = 7336096, d1 = 14, d2 = 18 Dl.O(d1) = 256118054 Dl.O(d2) = 265560714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6573902, s2 = 7336096, dlinesl.size( ) = 14 s1 = 2820226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16368471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2579852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7880696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11719352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11719352, s2 = 6183935, int(edited[s2]) = 0 s1 = 11719352, s2 = 6183935, d1 = 112, d2 = 91 Dl.O(d1) = 255947646 Dl.O(d2) = 243722334,243450477,243450476,243450475,243450473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11719352, s2 = 6183935, dlinesl.size( ) = 102 s1 = 420160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 420160, s2 = 13905180, int(edited[s2]) = 0 s1 = 420160, s2 = 13905180, d1 = 43, d2 = 11 Dl.O(d1) = 10695602,7065997,254335431,2672824,4448878,7066000,10695609,15468182,21470282,28727321,28727325,37259205,257450353,71285941,84860483,98788859,112781350,261111239,139994695,152692339,164533688,175300929,184856152,193199982,200361786,265176279,265701603,229785600,231226563,266319705,266503999 Dl.O(d2) = 266895210,235716076,266503997,237397893,237397892,266503995,234748546,234748547,234748549,266215917,231226560,229785599,228162485,228162484,265980231,232518889,274662667,235716072,236595900,266657941,236595901,266583827,234748542,266503993,266583825,266952013,266998709,240968048,241416254,267082813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 420160, s2 = 13905180, dlinesl.size( ) = 2 s1 = 420160, s2 = 13905180, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 420160, Dl.E( ) = 46, 1.81e-05 seconds used appending s1 = 2500971, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6497875, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14086029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10204350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10204350, s2 = 2155375, int(edited[s2]) = 0 s1 = 10204350, s2 = 2155375, d1 = 103, d2 = 10 Dl.O(d1) = 98826562,259934641,261113823 Dl.O(d2) = 58593262,258688479 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15510395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15516689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6651308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6651308, s2 = 13281546, int(edited[s2]) = 0 s1 = 6651308, s2 = 13281546, d1 = 26, d2 = 36 Dl.O(d1) = 256958690 Dl.O(d2) = 23629180,17313244,12188876,8219285,8219284,12188873,17313240,22510878,22510876,17252442,12132817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6651308, s2 = 13281546, dlinesl.size( ) = 2 s1 = 6651308, s2 = 13281546, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6651308, Dl.E( ) = 68, 2.19e-05 seconds used appending s1 = 3134342, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16215564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16215564, s2 = 5717703, int(edited[s2]) = 0 s1 = 16215564, s2 = 5717703, d1 = 48, d2 = 24 Dl.O(d1) = 255274808,9793215,14224866,14246242,19883007,26704123,34698622,43973814,54717620,66976534,80406818,94466650,108760195,123029385,136860320,136860321,272694691,146761752,159135461,170477825,180615722,183982766,174323804,163479938,151599860,138899063,125566020,257012660,83972291,70444703,57749506,46398647,36537734,28070771,28070772,36537735,46398648,46527660,57883551,256468152,258201394,139097717,151800478,152233202 Dl.O(d2) = 226352421,228196279,229815368,228196282,228196283,229815361,228196276,226352419,224235559,224235560,226352421,228196278,229815366,266105739,232542687,233707657,266417543,266585203,237410197,238138067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16215564, s2 = 5717703, dlinesl.size( ) = 2 s1 = 16215564, s2 = 5717703, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16215564, Dl.E( ) = 50, 2.91e-05 seconds used appending s1 = 16186251, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16310609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15507085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11166522, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11200820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8176848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9714694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6682308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6682308, s2 = 11598208, int(edited[s2]) = 0 s1 = 6682308, s2 = 11598208, d1 = 30, d2 = 35 Dl.O(d1) = 257286980,15071501,20983802,28163789,36638825,28883229,21607303,15578803,15578804,21607307,28883238,37425434,47333869,50299026,40278582,254865090,28003854,20839136,255784087,36462695,46315581,57659863,59275949,70563790,57862261,46506111,36638842,28163798,20983812,20983811,28163796,29187907,268933537 Dl.O(d2) = 239435287,266905215,267001595,241442202,241855664,267101066,241855663,266994558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6682308, s2 = 11598208, dlinesl.size( ) = 32 s1 = 6698725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2526745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2854575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15089683, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6767988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7019207, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13276627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13276627, s2 = 11183538, int(edited[s2]) = 0 s1 = 13276627, s2 = 11183538, d1 = 0, d2 = 27 Dl.O(d1) = 3438221,3438222,5553908,5506984,3395681,3395682,5506987,5532706,254869713,8492036,5492687,5484711,3375636,1986777,1146306,1146307,2005287,3401109,3382832,3382833,5492515,3382856,2024365,2024366,3426007,3378539,3378538,5487815,3403136,2006856,1147348,643687,254137611,2006852,3039472,3411317,2013077,1151313,645837,645838,1151315,2013080,3411321,5524884,255021242,24129536,255021506 Dl.O(d2) = 261420405,119640664,105404329,259012233,257770775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13276627, s2 = 11183538, dlinesl.size( ) = 20 s1 = 1474735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1474735, s2 = 16219610, int(edited[s2]) = 0 s1 = 1474735, s2 = 16219610, d1 = 59, d2 = 95 Dl.O(d1) = 37850329,256227914,59125409,59125410,58599253,47209073,37302192,37302191,47209071,58599250,55413724,256992424 Dl.O(d2) = 21895411,29209162,37770970,47692470,59091197,71831348,85419108,99361787,113363216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1474735, s2 = 16219610, dlinesl.size( ) = 8 s1 = 15241134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7854842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7854842, s2 = 13759352, int(edited[s2]) = 0 s1 = 7854842, s2 = 13759352, d1 = 30, d2 = 27 Dl.O(d1) = 257642430,26373518,19640204,14076503,9681570,6367761,3995609,2394446,2394445,3995604,6367754,9681554,11078394,11333416,11333415,16290199,22066772,257501915 Dl.O(d2) = 264066164,185447564,273542935,200815824,200815818,193721568,193721567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7854842, s2 = 13759352, dlinesl.size( ) = 36 s1 = 11185180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14921605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14921605, s2 = 10511510, int(edited[s2]) = 0 s1 = 14921605, s2 = 10511510, d1 = 21, d2 = 40 Dl.O(d1) = 260600280 Dl.O(d2) = 4071204,6485232,6485234,4071119,4071118,6497050,6497940,6497938,7199556,9893727,9893724,255326603,10812481,7145174,7145175,6494103,6494104,9884011,6506672,4077396,2439622,1410530,1410529,1407659,1407662,2433959,4067527,6491522,6482531,6482530,9868409,14357599,14357598,9894839,9894840,14389037,20072190,26956249,35036237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14921605, s2 = 10511510, dlinesl.size( ) = 2 s1 = 14921605, s2 = 10511510, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14921605, Dl.E( ) = 48, 2e-05 seconds used appending s1 = 2538057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13251339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1838567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1838567, s2 = 14623048, int(edited[s2]) = 0 s1 = 1838567, s2 = 14623048, d1 = 23, d2 = 25 Dl.O(d1) = 47958373,47958374,59349222,72082565 Dl.O(d2) = 72430843,59695191,254968338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1838567, s2 = 14623048, dlinesl.size( ) = 2 s1 = 1838567, s2 = 14623048, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1838567, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 14910449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14910449, s2 = 4006083, int(edited[s2]) = 0 s1 = 14910449, s2 = 4006083, d1 = 54, d2 = 36 Dl.O(d1) = 258740517,72092586 Dl.O(d2) = 146839505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14910449, s2 = 4006083, dlinesl.size( ) = 2 s1 = 14910449, s2 = 4006083, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14910449, Dl.E( ) = 56, 1.91e-05 seconds used appending s1 = 6860783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2864248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2864248, s2 = 8473610, int(edited[s2]) = 0 s1 = 2864248, s2 = 8473610, d1 = 9, d2 = 18 Dl.O(d1) = 85691772 Dl.O(d2) = 259644820,190550320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2864248, s2 = 8473610, dlinesl.size( ) = 2 s1 = 2864248, s2 = 8473610, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2864248, Dl.E( ) = 34, 3.91e-05 seconds used appending s1 = 6999014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6999014, s2 = 12946585, int(edited[s2]) = 0 s1 = 6999014, s2 = 12946585, d1 = 37, d2 = 49 Dl.O(d1) = 261163308 Dl.O(d2) = 441960,779067,1349010,2327483,3887335,6210797,9472378,13812298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6999014, s2 = 12946585, dlinesl.size( ) = 8 s1 = 15177641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15177641, s2 = 9368317, int(edited[s2]) = 0 s1 = 15177641, s2 = 9368317, d1 = 34, d2 = 47 Dl.O(d1) = 32125786,24546726,24546725 Dl.O(d2) = 9063199,13278723,255248163,20848266,17878659,12662223,12662224,17878661,24256284,256282777,46460818,57816927,70518187,84053296,97924018,111858205,100777069,86796470,73184218,258194345,49033350,39103843,30507289,30507288,39103841,49033347,39103846,39103847,47278641,47278640,58669971,61884153,61884155,256934960,43006931,53484413,65507384,78839724,92946786,107352143,121733977,111806452,111806451,97874004,84005280,70471650,57772226,57772227,256417658,44515605,44515604,55361980,257172267,32789303,41704791,33950704,26114270,19421296,13895033,9534744,6254847,3996067,3996066,6368396,9659705,14048094,19605484,19826549,19606016,15108117,10420489,8099558,5189127,3165937,1853338,1632739,1632737,2814277,3166010,1853373,1057761,1057760,1853367,3165987,5189206,8099691,12047726,17142555,22797377,17328234,12203257,12203255,12340111,12340109,17500862,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392480,5503240,8502193,8274747,5339170,5339171,8274754,12252216,16388488,12566388,11817954,11817953,16889175,23149862,30567204,24098243,17739422,16579342,12555060,8512314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15177641, s2 = 9368317, dlinesl.size( ) = 2 s1 = 15177641, s2 = 9368317, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15177641, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 9580568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9164828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6611374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6611374, s2 = 11333804, int(edited[s2]) = 0 s1 = 6611374, s2 = 11333804, d1 = 19, d2 = 48 Dl.O(d1) = 256524116 Dl.O(d2) = 261737400,149621442,149621441,161919016,161919015,260613030,122371465,122371464,136355499,136355491,136355492,149621437,136355486,136355485,122371462,122371461,122371459,107945120,93507806,79371148,79371147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6611374, s2 = 11333804, dlinesl.size( ) = 2 s1 = 6611374, s2 = 11333804, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6611374, Dl.E( ) = 56, 1.41e-05 seconds used appending s1 = 13510967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1493284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1493284, s2 = 7076496, int(edited[s2]) = 0 s1 = 1493284, s2 = 7076496, d1 = 6, d2 = 67 Dl.O(d1) = 38180525,257517343 Dl.O(d2) = 262233051 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13507347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16270151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8085470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8085470, s2 = 16323301, int(edited[s2]) = 0 s1 = 8085470, s2 = 16323301, d1 = 4, d2 = 6 Dl.O(d1) = 63720300,257601934,59039676,47637709,37715304,37715305,47637711,40078645,31397539,31397538,40078643,47770640,47770641,59169490,55282616,44438498,44438497,55282615,58847012,255169506,30249555,30249553,38833164,47637838,47637837,52247149,41910168,32970714,25248438,25248437,29008604,29008605,29009081,29009082,37555189,47462352,37554913,29008849,255657721,13368577,9136617,9136616,13368575,18772599,21158807,21158805,25832725,33635556,28376072,21722598,15677918,10853868,7175873,7175874,10853873,15677926,15174115,15174114,21122023,22319537,22319538,29670728,38236076,47462776,58847728,71574334,85144463,99069371,85927265 Dl.O(d2) = 59598129,48210846,48210847,46664789,37445483,28906242,21632097,15600983,15600981,21632094,16421303,11437423,7605139,4811365,2899686,267831891,7605135,11437415,16421293,22604300,29969310,37895240,37895239,38818845,30235599,22842627,22842628,19041504,13592486,254627758,10936696,15786682,21858901,256073832,37728268,47650104,257135756,85381328,99325560,113328496,260202462,153215681,264743991,219054953,221886842,219054951,215702203,274027560,264016430,200689201,200689202,206690384,211648854,215702189,215702191,219054935,274221706,265454070,228263224,226426505,265270062,221886828,265067994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8085470, s2 = 16323301, dlinesl.size( ) = 2 s1 = 8085470, s2 = 16323301, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8085470, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6811318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2877362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2877362, s2 = 5174738, int(edited[s2]) = 0 s1 = 2877362, s2 = 5174738, d1 = 14, d2 = 16 Dl.O(d1) = 85971572 Dl.O(d2) = 215318176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2877362, s2 = 5174738, dlinesl.size( ) = 2 s1 = 2877362, s2 = 5174738, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2877362, Dl.E( ) = 32, 2.98e-05 seconds used appending s1 = 16247374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2557124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15535491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6898593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6898593, s2 = 11539996, int(edited[s2]) = 0 s1 = 6898593, s2 = 11539996, d1 = 30, d2 = 32 Dl.O(d1) = 259874118 Dl.O(d2) = 265384050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6898593, s2 = 11539996, dlinesl.size( ) = 34 s1 = 6704037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6575592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6575592, s2 = 7650401, int(edited[s2]) = 0 s1 = 6575592, s2 = 7650401, d1 = 13, d2 = 21 Dl.O(d1) = 256134868 Dl.O(d2) = 270919430,72996184,72996185,72192628,60260497,48867448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6575592, s2 = 7650401, dlinesl.size( ) = 2 s1 = 6575592, s2 = 7650401, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6575592, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 2881302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2881302, s2 = 13224119, int(edited[s2]) = 0 s1 = 2881302, s2 = 13224119, d1 = 4, d2 = 22 Dl.O(d1) = 165731377,153957007,153957006,141284900,127923354,114041967,100014631,86051365 Dl.O(d2) = 40157852,50182512,42723801,42723800,53173525,42723803,33693525,25886657,25886656,33693522,268000470,65158270,78441108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2881302, s2 = 13224119, dlinesl.size( ) = 2 s1 = 2881302, s2 = 13224119, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2881302, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 2561256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2561256, s2 = 14637049, int(edited[s2]) = 0 s1 = 2561256, s2 = 14637049, d1 = 17, d2 = 53 Dl.O(d1) = 72480414 Dl.O(d2) = 107396112,92985636,271098285,259090802,65539007,53514924,43036717,43036718,53514925,65539008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2561256, s2 = 14637049, dlinesl.size( ) = 70 s1 = 6704909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6863696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15906385, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11378682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2887156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2887156, s2 = 14944985, int(edited[s2]) = 0 s1 = 2887156, s2 = 14944985, d1 = 18, d2 = 22 Dl.O(d1) = 86196864,92677850,86196858 Dl.O(d2) = 99663612,99663609,85716030,257859034,59400882,72131392,85716035,99663615,106045886,106045887,102243464,99881821,99881822,99663613,85926403,72332550,72332549,77946738,258224964,120270092,106095304,106067379,91871256,77946743,64752526,64752527,64781164,64781163,77975697,77975695,77923058,258146542,257036018,25654401,19035520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2887156, s2 = 14944985, dlinesl.size( ) = 2 s1 = 2887156, s2 = 14944985, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2887156, Dl.E( ) = 26, 2.1e-05 seconds used appending s1 = 7685872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7685872, s2 = 7937868, int(edited[s2]) = 0 s1 = 7685872, s2 = 7937868, d1 = 35, d2 = 31 Dl.O(d1) = 272539654,259953400,259334726,59881473,269351481,30005964,256353970,22635973,30005962,256966917 Dl.O(d2) = 11272303,9542204,9542206,7740406,4901100,2953894,2953895,4901102,7740409,11548757,11548756,11548777,11444224,11444223,7684047,7600841,7600839,11423087,11423086,16396342,16574726,11555826,7689537,7689539,10349909,10349910,10350216,7615399,7615396,11450004,11435998,7603917,254360125,2899253,4810558,7603922,4907134,4907133,7748487,11631095,254692183,4098948,2452015,2452014,4098944,6542561,4809622,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685741,2906110,4806300,5965031,5965030,9116785,7610735,7610733,4815686,2902092,1683565,1683566,2902101,4815706,4901351,7611741,9116989,9116987,10347426,6812830,6812831,4892806,4892803,7729327,6812908,6812906,4894568,4894570,7731631,9955666,6543260,6543262,4803968,2947864,2947861,4273731,6813686,10348566,9954883,6542653,4098994,2452038,2452039,2899207,2899209,4810460,6936421,4358716,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404476,2427806,1685836,958506,958507,1685853,2906323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13392033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11085312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2889540, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14157825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157825, s2 = 16318242, int(edited[s2]) = 0 s1 = 14157825, s2 = 16318242, d1 = 24, d2 = 17 Dl.O(d1) = 3748998,254648383,13398782,18128500,12854606,8741366,5690723,5690722,8741365,12854603,18128495,24569095,22179577,16053457,255453663,16050961,255890777,29518381,22176201,16051013,11144994,7392276,7392275,11144991,16051007,22176191,29518370,38082941,47995191,257018828,31634127,31634128,255890795,16051122,11145070,11145071,16051125,22176387,22848541,256442801,47988903,38076121,38076120,38082975,29521249,29521248,29518631,22176380,22176381,22176166,255890779,38082914,29518635,29518636,30284869,38870783,39324360,30726599,23308851,17047367,11959307,11959306,17047363,23308846,26231045,26231044,34093100,38082872,46799535,46799539,46799540,47995156,38082907,29518333,29518332,38082906,47967250,59358435,72092214,59384749,59384748,72116672,258697862,84862249,71474686,58745213,58745212,70498994,58236591,46868908,46868907,58236589,58236607,256994656,46868906,58236584,58555694,71287735,75418342,62499189,50898944,40782371,40782372,50898946,50898960,50898959,62499200,75418353,72356733,60836971,50898964,40782388,32025976,32025975,39504302,30896894,23463625,17184434,17184433,23463622,30896891,39504297,49435236,50898952,40782377,32025966,32025967,38325120,48235035,269172238,49995075,39978771,31303799,31303800,39978775,49995080,50898966,256641329,33165648,42121946,42121836,33165528,25423062,25423061,33165526,42121833,52476923,52476971,42121898,42121899,42121843,33165532,33165531,42121840,33165627,25423142,18830211,13416083,13416082,18830206,25423103,18830180,18830179,25423100,33165576,42121880,33165588,33165586,42121890,52476966,42121935,33165633,25423151,25423152,25423110,18830184,13416070,13416071,18830186,25423112,25423104,256125895,18830154,13416056,9172953,9172955,13416061,18830165,256125897,25423072,25423007,25423006,33165472,33165644,33165476,256641311,33165645,25849690,19194514,13708735,13708736,18830246,18830245,25423186,33165680,257196405,48342456,42121940,42121856,42121857,257786297,64347232,52477031,42121965,42121966,52476866,42121812,33165504,33165505,42121815,52476890,64347108,52476900,52476902,64347112,77512732,64347094,52476875,52476876,52285241,41944659,33002870,25278034,25278035,33002873,257183035,38117520,38117519,48030621,53230721,49421371,49421370,60821480,269811242,72462466,78688108,65383426,65383427,67556213,55212465,55212466,64347246,69269843,56704189,45563209,35918420,27625562,27625561,35918416,45563201,52285229,59423066,48030613,38117515,38117514,48030610,42121962,42121963,52477028,60224169,48827795,38905915,30319129,30319130,38905918,48292492,38381828,38381829,48292494,49962148,48827816,48827817,40884954,32111721,24534880,18101892,18101891,24534876,32111716,39945373,48030643,38117535,29552705,22207953,22207954,29552708,38117541,48030649,59423088,56704194,45563222,35918425,35918424,45563218,41944646,33002862,33002861,41944644,42407603,42407602,52807803,64721649,59181625,47782394,47782395,59181628,65379556,53375569,42909101,256931849,29552711,22207956,16077200,16077201,22207959,29552718,38117557,48030667,59423116,71474873,58745462,47358267,47358268,46696204,46696205,47358291,49868947,58745473,47995482,38083221,38083222,37451813,28912211,28912210,37451810,47358294,58745474,52927740,42517162,42517163,52927742,58068608,256955444,57630056,46285249,46285248,36733973,28239170,28239171,28317065,28317066,33486488,36884666,28388029,21169424,21169425,21169294,15211342,15211343,21169295,21169324,15211358,10492800,6919105,4346759,2603272,1502273,1502274,2603275,4346764,6919118,10492826,15211403,21169399,28387994,36884611,42742886,38271072,38271071,36884166,28387651,21169189,21169188,21169187,21169186,17466223,17466224,23798830,31285107,28387546,21169128,15211234,10492735,10492734,15211231,21169125,28387540,23798849,17466235,12313879,8317600,8317599,12313875,17466228,23798837,31285123,39960014,256122644,32803043,32803044,41723141,52038451,58130484,46762707,46762709,36884533,36884534,46762967,58130876,49976549,39960021,39960020,46295669,256269327,23798589,17466044,17466045,12313780,8317548,8317549,12313782,17466079,23798641,31284898,39959817,46295762,39959885,31284983,31284984,39959886,31285261,23798976,17466344,12313956,8317645,8317643,12313951,12313808,12313809,17466119,23798693,17466154,17466153,20819273,20819144,14921893,268082436,7366442,11106750,15998572,22110425,16005828,11112000,11112001,16005833,22119274,24012014,17664817,12491447,12491451,17664824,24012025,31512368,38015339,47922538,59315809,67663847,64194941,64194940,61701921,50220198,50165095,50165094,47980293,269336553,61701892,50220164,40198177,40198178,46901609,46901607,58267514,70982573,72062639,72103191,59370519,47980255,38068091,29504811,22165103,22165102,29504807,38068082,40141393,40141392,256955668,50165142,47980272,47980273,59370534,70982576,58267522,58267521,61649425,52720244,42333099,42333098,43871122,255414550,49727985,49727984,42682939,42682940,47991883,40141225,31458815,23963775,17614231,12432817,12432816,17614228,23963769,30427510,30427509,39016509,43871187,42333105,42333104,43871039,54613497,54613473,43870995,34600771,26613506,255313763,14186361,19805222,26613512,34600790,256722007,26613534,26613533,34600753,39941336,31266506,255559495,12301859,8308822,254590759,3292874,1936589,1106164,620673,344900,189146,103295,56822,56820,103286,103395,103396,189333,345219,621236,1105187,1106793,1106794,1107102,1100538,1100540,1926102,1106236,1106237,1936677,3293008,2006620,1147205,643613,643612,1106342,1106343,1936882,3034953,5016990,7896081,254868269,8300587,5525163,5524926,5524925,5532801,5566058,8496198,8496197,5520229,3406960,3406959,5520227,5518304,5518305,8323512,8323740,5594731,5519648,5519647,3424646,3424647,5502429,4545775,2732689,1583500,1583499,2324804,3882312,5348296,8290359,12275915,10910092,7216453,5497231,254606217,5537672,8539602,8323651,8323652,8406691,12438138,12527854,8489497,8489496,5567880,3451854,2045165,2045166,3451855,5567881,8572024,12626192,17831293,24200528,23969246,17619800,12438088,8406651,5424676,5424678,8406658,8525631,12571371,17765076,17110041,12023708,8083600,5179422,5179424,8083609,8574466,12629040,15754296,10910589,7215805,4546505,2733127,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,15754493,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,22362987,16209625,16209628,13607240,9317546,9317548,12626008,12625974,8571876,8571873,8571884,8571881,9398188,9398184,13720152,10910659,7215849,4546530,2733143,1583750,900396,900397,1583755,2733148,4546536,7215862,10910690,15754467,255863789,33433051,268301323,19043887,25663738,31792543,27030522,27030521,35117143,41471418,32594474,32594473,41471416,50190259,268509200,23984211,17638301,12462469,8431264,8431265,12462471,8518484,5516738,5516739,8518485,12563323,17755199,24116228,31621686,40310113,42694441,43871070,54613513,43871059,43871060,42694442,33663717,25857612,19200448,13712788,9392211,9392212,13712790,19200452,25857624,33663730,29664536,255463997,11233886,11233887,16166486,22312382,29664544,38230852,39909042,31232573,268993075,20901408,255790273,36540939,46402141,57752977,57753113,70448203,83976003,70448067,70448068,66881831,57752966,46402136,36540934,36540933,46402134,46402231,43881840,43881841,47669859,59069503,71203092,84772396,256744548,49442457,49442456,60844355,70448114,80310987,70448202,65355823,53353364,53353363,65355820,72739408,60002855,48611636,38696055,268956297,48611632,48611631,60002850,72739403,70448081,258628809,57752958,57752959,70448076,256735532,86878777,86336488,72739405,60002851,48611633,48611634,256698860,64542048,256179624,70448078,70448077,57753047,57753046,70448148,74629727,61837713,50353685,40326731,31637351,24130268,17766885,12572832,8526948,5525577,5525581,8526950,5565331,4710519,4710516,3390615,3390617,3412025,3412024,2042657,2042659,3404302,3404303,2837488,2837489,3404919,2014973,1153779,647277,359157,359158,647281,1153790,2016840,2017074,2017242,1154026,647405,647404,1154023,2017237,3416986,4884721,4884720,7717684,6042823,3780632,2264538,268972836,426159,749789,1313609,1164736,653908,653909,1149803,1149802,2010697,3408207,5521573,3415145,2015907,2015906,3415143,3731892,5967759,5576670,3459765,3459764,5576668,8582521,12640326,17849049,24219322,31725963,40417766,32801125,25099594,25099593,32801123,41721007,52036273,63856106,65545241,53521076,43042553,43042554,53521077,65545242,78880352,88153553,102144607,116205907,130117157,130117158,143449047 Dl.O(d2) = 193849171,185590187,176125930,165444221,153663897,153663898,164481368,260912770,126559354,112695187,259702396,260912768,271462504,113781932,126559383,112695218,258445094,258445096,112695219,126559384,134889160,121087456,121087455,126559384,259702398,84770384,71201046,58478999,58478998,71201045,84770383,98699122,85815048,72221797,72221796,59485168,48096129,38184431,38184430,256146071,19155319,13678222,13678225,19083406,13624710,13624709,19036250,13602816,9314457,254932681,19054743,18983228,13546209,13546211,9273619,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294201,3829310,6120421,9344166,9289936,9289935,268148061,255687133,25655969,25766008,19126362,13656218,13656219,19126363,24246563,24246561,24246562,17874162,12657596,255202105,24251668,29799260,29799261,37607939,47512650,58892340,58892338,58892337,64815309,52894488,256014324,25716260,19087563,13627680,13627679,13671911,10252375,10252374,9322406,9322405,6132646,3836760,2298568,2298563,3836744,6132617,9362475,13671830,19147173,25792265,33587925,42611876,38460923,38460925,48362617,48384076,48384075,53059584,53059583,44498358,44498359,48362890,38461207,38461203,48362885,58478847,47100325,47100324,58478846,59746088,48362789,48362625,38461150,29904060,29904059,38461148,46662318,38461139,29904054,29904055,32519526,41367837,47100434,47730964,47100335,37203870,28680505,21431434,15437840,15437841,21431438,28680511,37203877,257235958,47100332,42260908,42260911,47100607,58478998,71201044,258445096,271772733,112695187,98699092,84770342,71200989,71200988,84770340,98699091,112695186,126559352,139923239,147359240,159705820,260715322,120320335,258879924,78008496,64815306,52894485,52894484,64815304,52894486,42488173,42488172,52894484,58892339,58892340,71612173,258879926,91929902,259503754,120320336,134149050,261288200,260775718,259563760,257117477,255604641,254883479,254425417,676139,376194,206371,206373,212444,116151,63670,35260,35257,62353,113876,254091329,681240,1208134,2098416,267852111,12804248,18060246,256062201,256571555,257706671,75454310,89206604,103301831,260783511,131246078,144481058,153210039,140527654,127180998,113321521,99318072,85373209,71783857,71783858,85373208,76664431,63578619,63578618,76664429,90526585,260234389,261398783,145909364,158277470,169651693,170799486,159461376,261522250,119977031,105742399,91518897,77588002,77588003,77587985,76959974,76959973,90839198,105018209,93445472,79314250,79314251,93445474,107873885,122288303,136263318,149527317,161832170 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250974, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6910990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6910990, s2 = 865625, int(edited[s2]) = 0 s1 = 6910990, s2 = 865625, d1 = 19, d2 = 27 Dl.O(d1) = 260000082 Dl.O(d2) = 215822426,265196089,215822384,215822383,265196087,265196091,219161421,215822398,211785604,264212189,193777336,193777315,185513001,262705599,153563563,140889260,127533827,259985541,85699344,72113174,59380512,256928825,256386591,22171947,16047989,11143021,7391080,4669493,2813314,2813310,4669479,7391049,8583420,12641404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6910990, s2 = 865625, dlinesl.size( ) = 12 s1 = 6865504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11164936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10173629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2576388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2576388, s2 = 10147300, int(edited[s2]) = 0 s1 = 2576388, s2 = 10147300, d1 = 10, d2 = 21 Dl.O(d1) = 72823175 Dl.O(d2) = 255414598,21714057,15671172,15671171,21714054,28879796,21604133,15576029,15576028,21604130,28879771,21605052,15576722,15576723,21605055,28083140,28083141,36552078,37421739,37421740,28879846,28879698,28879697,37421630,28881393,28881392,254505526,58718432,47329906,37421608,28879678,21604048,21604047,28879674,21604124,15576025,10774454,7119010,4482306,2693165,1560232,1560231,2693161,4482299,7118998,10774428,15575979,255044298,37421627,37422935,38147730,37421708,28879784,28879785,28880898,28880928,21605060,21605061,28880930,255458028,28879802,37421721,29581570,25403720,18814059,18814061,254769900,42098088,33143822,33143821,42098086,38147838,29581937,22234335,16099454,11182416,11182417,16099432,16099431,22234303,29581820,29581821,254527008,37422922,37422923,47331202,43917621,43917620,43916381,43916146,43916145,43916390,34643302,34643046,26651934,26651935,34643048,256202120,34643117,43916227,54658663,58719682,47331205,37422927,28880877,21605027,15576707,15576708,21605028,28880880,34642963,34643318,43916061,34643179,34643181,34643323,38271578,34640753,26649281,19835796,19835795,26649278,34640751,34643160,26652054,19838512,19838511,26652053,30557393,23139961,23139962,19838471,19838465,19838464,26649284,19835800,14210075,9768809,9768811,14210077,19835804,254313468,30762035,23339135,17072988,11984956,8034848,8034847,11984951,17072976,23339112,30762005,39363215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2576388, s2 = 10147300, dlinesl.size( ) = 2 s1 = 2576388, s2 = 10147300, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2576388, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 14093268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2703751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6707363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6707363, s2 = 11615044, int(edited[s2]) = 0 s1 = 6707363, s2 = 11615044, d1 = 43, d2 = 65 Dl.O(d1) = 257565275 Dl.O(d2) = 241080358,241519231,241925847,267052455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6707363, s2 = 11615044, dlinesl.size( ) = 28 s1 = 14140785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140785, s2 = 2466209, int(edited[s2]) = 0 s1 = 14140785, s2 = 2466209, d1 = 24, d2 = 66 Dl.O(d1) = 225569868 Dl.O(d2) = 67633848,67633847,70544465,70544466,57842504,46486328,36619872,28146035,20967664,15057984,10383690,6843154,6843153,10383685,15057975,20967655,28146022,36619859,46486307,57842466,70544434,70544435,84081549,86498262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140785, s2 = 2466209, dlinesl.size( ) = 14 s1 = 2900450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2900450, s2 = 1883056, int(edited[s2]) = 0 s1 = 2900450, s2 = 1883056, d1 = 4, d2 = 12 Dl.O(d1) = 86479417 Dl.O(d2) = 48753483,38833410,30249788,22855167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2900450, s2 = 1883056, dlinesl.size( ) = 18 s1 = 1528882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1528882, s2 = 11505206, int(edited[s2]) = 0 s1 = 1528882, s2 = 11505206, d1 = 0, d2 = 5 Dl.O(d1) = 38833754,257568509,72884599 Dl.O(d2) = 38833751,257568507,72884597,72884579,60148193,258177123,72884588,60148211,48753842,38833748,30250112,255500397,11600031,7721942,7721943,11600032,255500399,30250116,38833753,48753854,60148222,60148205,48753838,38833743,38833742,48753834,60148201,258800393,72884594,72884595,86479844,258177125,48753861,38833758,30250121,30250122,256443525,30250116,38833753,48753854,60148222,60148205,48753838,38833743,38833742,48753836,48753844,48753845,60148213,257568511,48753857,48753858,60148198,48753849,257568507,258800395,72884602,72884603,60148230,48753860,38833757,30250119,22855466,16629875,16629873,16629872,22855463,30250108,38833739,48753831,60148195,258800391,60148203,48753837,38833743,255943609,11600031,7721942,4887707,2945359,1708104,1708106,1708109,2945364,255943595,38833645,48753741,60148100,72884472,258800368,261764339,166088815,176725530,264244041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1528882, s2 = 11505206, dlinesl.size( ) = 2 s1 = 1528882, s2 = 11505206, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1528882, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 2901114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2901114, s2 = 14153676, int(edited[s2]) = 0 s1 = 2901114, s2 = 14153676, d1 = 37, d2 = 66 Dl.O(d1) = 86494092 Dl.O(d2) = 242528464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2901114, s2 = 14153676, dlinesl.size( ) = 2 s1 = 2901114, s2 = 14153676, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2901114, Dl.E( ) = 114, 3.7e-05 seconds used appending s1 = 2901198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6866955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6866955, s2 = 6688822, int(edited[s2]) = 0 s1 = 6866955, s2 = 6688822, d1 = 30, d2 = 27 Dl.O(d1) = 259426615 Dl.O(d2) = 257395244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6866955, s2 = 6688822, dlinesl.size( ) = 26 s1 = 6789513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6789513, s2 = 1240907, int(edited[s2]) = 0 s1 = 6789513, s2 = 1240907, d1 = 15, d2 = 27 Dl.O(d1) = 258477615 Dl.O(d2) = 31296048,23810081,17476467,17476466,23810080,24009421,17662894,17662895,24009422,31509120,40194859,50217171,61699185,74482232,73560919,73560918,81084646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6789513, s2 = 1240907, dlinesl.size( ) = 2 s1 = 6789513, s2 = 1240907, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6789513, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 14090470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14090470, s2 = 6915333, int(edited[s2]) = 0 s1 = 14090470, s2 = 6915333, d1 = 13, d2 = 11 Dl.O(d1) = 60196061,72935410 Dl.O(d2) = 260045261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14090470, s2 = 6915333, dlinesl.size( ) = 2 s1 = 14090470, s2 = 6915333, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14090470, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 6810038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6890690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9325053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9325053, s2 = 13206416, int(edited[s2]) = 0 s1 = 9325053, s2 = 13206416, d1 = 72, d2 = 52 Dl.O(d1) = 23699116,23699117,31189002,31282460,23796244,23796243,23677651,23677650,30325760,254591242,268110728,256010292 Dl.O(d2) = 229773090,229773091,230602827,231959532,232507602,233676012,233676009,265451962,229773093,265267524,230602805,230602804,229079076,229079075,264841228,227352647,227352648,264841230,231959507,231959509,230602802,274024822,263667454,262867256,272654098,271931596,259578812,158811256,158811255,268706118,255613126,254888648,32903412,25192529,18631297,13246166,9035390,5902982,5902979,9035385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9325053, s2 = 13206416, dlinesl.size( ) = 11 s1 = 15472381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15472381, s2 = 2391555, int(edited[s2]) = 0 s1 = 15472381, s2 = 2391555, d1 = 34, d2 = 29 Dl.O(d1) = 33694049,25887343,19228337,13736228,13736229,19228338,25888162,33694668,28752735,28752523,21492840,15486843,10709374,7075137,7075136,10709370,15486831,21492816,28752504,31693809,31693810,40387022,40286408,254604592,24097228,31169854,23681719,23681718,31169853,254559602,254813072,23682829,23780118,17450116,254813522,5360680,3295377,1938140,1107070,1107067,1938134,3295365,5360659,5513603,8515377,8263024,5331080,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355432,8301300,12291624,17430967,23758063,28212277,28212278,24111290,267768542,8515331,5513575,3400647,2004974,2004975,3400650,5513581,8297014,5352483,3289563,1934479,1104951,1104950,1934475,3289555,5352472,8296996,8302745,8302744,10711550,7076490,7076489,10711544,15489824,17450329,12301104,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10897533,10897536,15734606,12285840,254089344,31242027,39917469,49935392,61413655,254846620,61434260 Dl.O(d2) = 11381579,7561717,4781463,2881324,2881325,4781465,7561720,11381580,16355066,22527844,28840319,254394160,15546683,21568940,17293518,12172377,12172378,17293525,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11378508,7559490,7559489,11378504,16351521,22524556,22501897,16327624,12211259,12211258,17337158,23654188,24160488,20127825,20127824,17514181,17514179,23857367,29845386,22479133,22479135,26044490,26044487,22083129,22083126,17343676,17343674,22488596,16315792,11351499,11351498,16315786,11356303,11356304,13852302,17283377,17283376,22391695,16232460,16232459,16662519,11629146,11629147,16314560,16314561,11355533,7544713,7317080,7317077,11042538,7836775,4974550,4974551,7836778,11737856,11737925,16277712,17587923,21568541,21568527,15546287,10752088,7546895,4773061,4773058,7546928,11359270,16327542,12202191,8233703,5305762,5305761,7103512,10751962,15546098,16315702,11351445,10751948,10751950,15546080,16312528,16312527,17337027,23654105,29614124,22263165,22263164,22484509,16312736,11349584,7541446,7541441,4770253,2875630,1669253,949895,949896,1669254,2875632,4770257,7541482,7541085,7541084,7541646,11348824,11348823,16310616,16310617,11356780,11356779,16324074,22498181,17693571,15977408,15977409,16324120,11356806,11356807,16071338,16071337,11351729,7542657,4770878,2875959,2875961,4770888,7542675,11351767,16311690,11348926,11348925,254389044,29848893,29849202,22483739,22483738,29849200,29862915,29862917,37921713,29844219,29734887,29734886,28287307,21081246,21081247,28287308,29354037,22022940,17525773,17525772,21295708,21295666,21295669,22489831,29854850,22508067,16769261,16769259,21101861,16459204,16459207,16308708,16308713,16308752,16308778,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,7824989,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,12152763,17273550,17273480,12152849,12152850,17273675,22650803,22650804,29870510,22527875,16355092,11381604,11381606,12141836,8171249,5240399,5240400,8171250,12141841,268250049,15147431,21087623,23607656,17295042,12173776,12173774,14433203,14433201,16353583,11380249,7560716,7560717,11380256,16353595,22526535,22029084,15928030,11051330,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,8008719,11963910,17054447,17338006,16325627,11357870,11357871,267836958,29341819,22484217,22484216,23589220,17277422,17277423,21563420,21563419,22113144,25299934,33026052,38425618,38441479,254264026,17060952,11969065,8012490,5100934,3096249,3096248,254337946,10781039,10781040,11738093,16327063,22013185,15911653,11033115,7307844,4611857,4611858,254281430,13329781,9107881,5959561,5959563,6232382,3902016,2336945,2336947,2337050,2337046,3902249,6232876,9502791,12490664,8459974,5466283,3361314,1976169,1128096,254097740,3361315,3360875,3360873,267751070,12488939,17661005,21574912,254728666,10716770,10716771,15496397,15496844,21504724,28764611,21504716,15496840,15496839,21504715,15496965,15496835,15496834,21504710,21504092,15496343,15496344,17660999,15496340,15496339,15496150,10716571,7080188,4457671,2677931,2677930,4457668,7080183,7080404,10716894,15496558,10716886,10716887,15495936,21503612,21504337,21504862,15496985,10717252,10717251,15496640,15496641,17827897,17827898,24197195,21504368,15496935,15496936,15497038,15497037,21504912,268616161,47204880,258064161,71328473,65083912,65083911,53098109,53098110,42647479,33619874,25819431,255386118,9374574,9374575,13688677,19169279,23858826,22156401,22156400,18239974,12938303,8802171,5733661,3570104,2128012,2128011,3570102,5733657,254469090,18239958,20041173,16095671,16095672,20070313,14386717,14386716,20070312,17128650,254687500,5184793,5184792,8092707,7360145,7360148,7360153,7360076,7360073,7217268,7217266,10912951,11133274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15472381, s2 = 2391555, dlinesl.size( ) = 2 s1 = 15472381, s2 = 2391555, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15472381, Dl.E( ) = 38, 1.79e-05 seconds used appending s1 = 6708688, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14193895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 919169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8272406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8272406, s2 = 1202152, int(edited[s2]) = 0 s1 = 8272406, s2 = 1202152, d1 = 8, d2 = 10 Dl.O(d1) = 259047210 Dl.O(d2) = 60342655,48945704,39022633,30432950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8272406, s2 = 1202152, dlinesl.size( ) = 16 s1 = 16068853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7011673, s2 = 15523510, int(edited[s2]) = 0 s1 = 7011673, s2 = 15523510, d1 = 14, d2 = 16 Dl.O(d1) = 261313274 Dl.O(d2) = 50258431,40239141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7011673, s2 = 15523510, dlinesl.size( ) = 2 s1 = 7011673, s2 = 15523510, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7011673, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 2591821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2591821, s2 = 14045728, int(edited[s2]) = 0 s1 = 2591821, s2 = 14045728, d1 = 13, d2 = 114 Dl.O(d1) = 73175038 Dl.O(d2) = 65174589,53189425,42740053,33710421,25904002,256670052,3862277,2313665,2313667,3862172,3862016,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415577,2415579,4030973,6425195,9403426,9403427,13727286,19217858,19239761,25899786,33706020,42735620,255684578,39441287,39441289,49369709,60772129,259135281,66918752,54662170,54662171,48103712,48103711,59491782,72227183,85819428,78247240,64973793,64973792,78247238,92274280,106571899,120819433,121024394,134822392,121024748,106770976,92465273,78429136,65147143,53162807,42713173,33683292,256147092,13727346,255285285,25877058,33683299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2591821, s2 = 14045728, dlinesl.size( ) = 38 s1 = 2481307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2593648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138136, s2 = 1300392, int(edited[s2]) = 0 s1 = 11138136, s2 = 1300392, d1 = 47, d2 = 72 Dl.O(d1) = 34660647,29516165,22174497,16049853,16049854,14224038,11280552,11280551,16227084,257589849 Dl.O(d2) = 37782205,29220648,21905505,21905506,29220651,37782210,257486727,37781130,29219933,21905034,21905035,29219935,21905367,15824638,10966251,7258627,7258625,10966263,15824669,21905428,29220532,37782016,37780222,37780221,47700465,59098337,71837797,59100907,47702653,37781932,29220472,21905388,255870693,37781930,47702649,59100903,258097033,59100901,47702648,47702647,258096901,37781130,37781129,47701571,59099571,59097215,59097214,71836783,71837297,63870496,63870497,59097766,59097767,71837278,66013494,53943478,43417059,34315922,34315924,43417065,53943490,66013502,59101073,47702819,47702818,257174433,32815968,29220587,29220588,25112637,25112636,32815923,41736659,52051331,63870513,52051340,41736668,41736661,32815924,32815925,32815999,41736776,256362912,37608919,37753284,37753283,47675747,59076181,47699963,37780455,29219474,29219473,37780450,47700766,53834138,59101741,71837090,59099853,257816862,47699769,47699770,59097565,53943464,43417050,43417051,53943467,59097479,53943483,53943482,269397690,59101670,47703418,47701328,37780878,256906941,59099327,71838681,258720739,257486895,29220474,25004952,18478408,18478407,25004951,32683924,41580790,257486523,52051740,41737006,41737007,52051742,52773403,52773404,64687595,76989754,258097018,41747065,32826461,25122374,25122375,256620637,41737012,52051744,63870777,52051647,41736921,32816094,32816095,41736923,52051649,63870780,71837015,59097504,47699718,47699717,52051402,41736714,41736713,34315923,34315924,43417065,53943490,59098648,52051360,41736681,32815936,25112646,18562776,13190916,13190917,18562781,25112655,32815954,41736699,41736779,41736780,256904726,47699691,47699690,52051332,52051328,41736658,41736659,52051331,63870513,52051340,41736668,41736661,32815924,32815925,25112691,25112692,32816001,41736777,37781902,29220447,21905367,15824638,10966251,7258627,7258625,10966263,15824669,21905428,29220532,37782016,37780222,37780221,47700465,59098337,71837797,59100907,47702653,37781932,29220472,21905388,255870693,37781930,47702649,59100903,258097033,59100901,47702648,47702647,47701606,37781148,37781149,47701608,47702649,59100903,59100900,47702648,47702647,47701606,47701607,59099576,59099577,59100909,47702658,256365229,21905392,21905391,15824672,15824669,21905428,29220532,37782016,37780222,37780221,47700465,59098337,71837797,59100907,47702653,37781932,37781931,47702651,59097656,258096731,47701379,47701378,37782376,29220767,21905582,21905585,29220773,37781147,47701599,59099595,59099782,47701772,47701771,52061516,63870613,71840172,59100832,59098414,47700551,47700550,47703445,59101695,66919983,66919979,71837953,71837952,71837958,59101377,59098453,47700594,37780314,37780313,37780604,29219585,21904789,21904785,15824278,15824277,21904780,29219573,37779707,29409697,29409696,29219930,21905032,15824425,13196685,13196686,18570761,256106093,25122367,25122365,32826440,41747044,52060963,63870775,52051643,256620015,25112748,255243693,13190937,18562823,25112745,32816090,37782314,40542973,31844872,24325202,17937375,12709828,12709829,17937377,24325207,31844880,40542944,40542953,38830923,30247438,30247437,38830921,48751022,60145377,259424279,86477323,100434535,114459073,128335985,141685392,154337490,166086762,176723601,263576917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138136, s2 = 1300392, dlinesl.size( ) = 8 s1 = 16291516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8151992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8151992, s2 = 4636635, int(edited[s2]) = 0 s1 = 8151992, s2 = 4636635, d1 = 48, d2 = 21 Dl.O(d1) = 255222982,61933263,53229528,42778111,33747059,25939449,19276364,19276365,25939453,33747067,42778120,254891634,39128116,30529716,30529718,39128118,30568493,23151151,23151150,23606327,31090714,39769365,46318928,36466085,28007268,28007269,31090709,23606324,17293397,16890380,16890379,23151161,256074592,46318931,49096381,256465815,30568450,257591161,73246945,86859594 Dl.O(d2) = 177057944,186413819,194568765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8151992, s2 = 4636635, dlinesl.size( ) = 30 s1 = 14159865, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8499662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2597154, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8252531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14658089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10210209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10210209, s2 = 8781821, int(edited[s2]) = 0 s1 = 10210209, s2 = 8781821, d1 = 157, d2 = 181 Dl.O(d1) = 25928868,19266910,19266909,25928867,33735920,42766070,53215932,65201837,75037576,62214632,50694714,50694715,62214635,75037617,88688417,102697729,116790393,258929976,88688412,75037611,62214627,50694712,40635562,31919921,31919914,24387295,24387296,31919917 Dl.O(d2) = 261486139,160595754,263751837,264384093,204490219,204490218,204490220,209850980,214244570,265113329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10210209, s2 = 8781821, dlinesl.size( ) = 32 s1 = 4305170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4305170, s2 = 11381531, int(edited[s2]) = 0 s1 = 4305170, s2 = 11381531, d1 = 61, d2 = 67 Dl.O(d1) = 165742138,153968271,271389510 Dl.O(d2) = 166015036,154261923,141605687,128254858,114377949,100353888,86396895,72800934,60062370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4305170, s2 = 11381531, dlinesl.size( ) = 2 s1 = 4305170, s2 = 11381531, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4305170, Dl.E( ) = 70, 1.91e-05 seconds used appending s1 = 14207001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1553906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1553906, s2 = 16400646, int(edited[s2]) = 0 s1 = 1553906, s2 = 16400646, d1 = 29, d2 = 40 Dl.O(d1) = 39344477,257604649 Dl.O(d2) = 71539006,71539007,85110358,259947975,101030908,259329091,71539008,58810047,256888169,255853559,15650150,10832358,7160616,4509934,2710012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1553906, s2 = 16400646, dlinesl.size( ) = 30 s1 = 11224058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15967293, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15422277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15422277, s2 = 10634480, int(edited[s2]) = 0 s1 = 15422277, s2 = 10634480, d1 = 9, d2 = 10 Dl.O(d1) = 25572559,21935080,21252888,15288026,15288025,14482104,9963987,9256833,6062579,3793171,3793170,6053091,6053089,9242223,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377867,6956750,8110966,8110964,6954403,6954405,10544991,15278926,21245478,28467151,36965973,46844826,58212832,55470905,55470904,44621591,35238949,27142768,20234474,14519838,9990928,6566360,4113553,4113552,254169056,254361784,20234473,27142766,35238948,30253382,22858346,16632368,16632369,22857741,30252706,38836539,48756549,60150718,72886913,86482063,87140138,256532432,255574742,254861594,47211712,47211714,46890342,46890343,49266800,40055298,31373990,23878405,23878404,31373988,40055293,37899355,35013193,26931594,26931593,35013192,44390069,47376201,37469431,37469433,40178372,31492929,31492930,37305743,31374002,23878419,17533328,12366448,8356276,5393665,5393666,8356280,12366454,15900662,22000290,29330814,37022968,28525153,28525155,23614928,23614925,27203409,21510528,21510529,15501292,15501295,17191106,17191108,18741033,18741057,17055949,11964935,11964932,8009261,8009257,5434205,5434208,8419747,12451366,17629945,15832885,15832881 Dl.O(d2) = 31472739,38933883,38933948,38933947,42367428,33378546,33378547,42367432,46629696,36741756,28245983,21046173,15117140,15117141,21046175,28245986,36741759,36727656,28233888,21036506,15109995,10422197,10422198,15109997,21036514,21036541,21036542,28233947,36727886,46615636,57991503,60062834,267999856,46615073,50194428,48327503,38419060,29851067,29851064,29987663,38557244,40158442,31474060,29232770,22485854,16313708,16313707,22485848,29850979,31484421,31484422,28234478,22378302,16221965,16221966,22378309,29232577,255047962,12451823,12451822,15832540,21915543,255658422,47715749,59113346,59113584,47716107,38419078,29852020,22486486,21915811,15832714,15832715,20899313,255004104,6794789,4260388,2546967,2536722,1461759,827401,467053,467051,827395,1461750,1468003,2548344,4262487,6797643,10327824,10279517,10279516,9076151,9076152,10352128,10352126,15024192,20932208,28108775,29256486,21935842,15848291,10983396,7270161,7270133,7270134,10983367,15848259,21935803,29256445,30037878,22662300,22662299,26638620,254645860,9763509,6419417,6419416,9763508,11147616,7393818,7393819,11147605,16054896,254138710,9000329,13202463,18577949,24134000,24133999,25029552,18497508,13141733,8956788,8956789,8502559,8502560,12542638,17728351,24085688,31589816,31645683,24138793,24071344,17715085,17715086,24071345,30449288,23041778,16796811,16796810,12624964,12624957,8570980,8570979,255191492,24199103,31706525,254607726,31232663,31232662,30573472,23156000,254590514,7900987,7900988,11822732,16894695,23156007,18863503,18863504,25463654,18863506,254609162,7395704,7395705,11150467,16058876,22185941,20150491,254922368,11743614,9944826,6536132,6536133,9944830,12587800,14216366,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190100,13440544,18863475,25463630,33211240,26893243,20012024,20012023,26893241,26443005,25097754,18550033,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,12529330,12529333,17712097,17774234,24071112,17714875,17714878,17798848,17799201,12599537,12599539,17647875,12475487,8445500,5454285,5454287,8445510,12475512,17647921,23992471,17647909,12475505,12475506,17647912,23679824,17359512,17359510,14126900,14126898,9845598,9845602,11475230,16469631,22664473,23679878,19703512,14127717,14127718,15736733,10898893,7208307,254267812,7208477,10436311,6880043,6880045,10436318,15131433,21065551,24166614,17798942,17798941,254842574,29097166,21799755,15739891,10900922,10900921,15739889,21799752,23587351,23301261,17041027,17041028,11954602,8002759,5094786,5094785,8002755,7208880,7208881,10899953,14168907,9740717,6405124,6405127,9740726,9740867,14169148,19781770,15130044,15130042,21063713,21063775,15130078,15130075,21063762,21063900,28266652,29092421,21794602,15735575,15735576,15130402,10899238,10899236,15737300,15737555,21064130,18844432,13426206,10899297,10899295,15737387,15851739,10986094,7272111,4586060,4586059,267765582,254345190,29261334,37826763,47748986,59147631,256008716,99411089,113412273,127270654,140616478,153296407,143206656,129877006,115979386,101934898,87962115,74359892,61583326,50103390,256443852,38771641,38771640,34616475,26626864,19815904,19815905,26626865,26682652,26682651,34676266,31471030,23974968,23974967,29753823,22393286,19816842,14195016,9914163,6515328,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944649,34615944,43060848,52771221,42372200,255678148,41228485,41228483,32836949,32836950,41757818,46706225,44404594,44404595,37986526,33424145,33424146,37885802,29316909,29316907,31395742,33722499,25915645,25915646,24011529,24011530,26414363,19678547,19678548,19678527,19678528,19678539,19678538,26161151,19461160,254930552,9559300,13927288,19461156,26161150,19462784,13928502,267752566,4502813,2705877,1568060,891712,891713,1568065,2705879,4502821,7150276,10819212,15634352,21671293,25363024,25363022,26168987,25670890,254675476,35387137,27261838,20327686,20327687,27261840,35387139,256485788,68114633,258219372,109839648,123979339,137661439,148397033,135231317,121381195,268768938,92742973,92742974,78679378,65374362,267937868,33858956,26037628,19359863,13847643,9499532,7341829,7341827,7704388,11574733,11062240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15422277, s2 = 10634480, dlinesl.size( ) = 12 s1 = 14599017, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11716960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11716960, s2 = 14674940, int(edited[s2]) = 0 s1 = 11716960, s2 = 14674940, d1 = 45, d2 = 42 Dl.O(d1) = 270517992,87148292 Dl.O(d2) = 260843099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11716960, s2 = 14674940, dlinesl.size( ) = 22 s1 = 16122539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16122539, s2 = 12839462, int(edited[s2]) = 0 s1 = 16122539, s2 = 12839462, d1 = 55, d2 = 147 Dl.O(d1) = 223446540 Dl.O(d2) = 259580853,117667768,131472090,261901501,168547948,178850642,187946254,195875306,202664474,200262474,193085183,184722092,175144670,164351683,152483993,152483992,139763130,139763128,139763129,126387525,112516656,98521692,84596719,71032272,58316407,257657852,53839337,53839338,47955288,38041832,38041833,256514320,72080230,85666749,99615566,113629520,127501762,140858211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6712942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6712942, s2 = 15267850, int(edited[s2]) = 0 s1 = 6712942, s2 = 15267850, d1 = 8, d2 = 12 Dl.O(d1) = 257616817,49431127,60832941,73582405 Dl.O(d2) = 73993884,87593993,101556545,115592978,115592961,101556532,87593984,73993876,61215329,61215330,270375465,115592963,129478029,142799445,261813083,142799441,155386522,155386524,142799443,261813085,155386545,261269263,262322289,261813081,129478020,115592954,115592953,115592986,126861429,113009467,113009468,259677420,113009473,99021449,85096445,71524587,58795274,58795275,257411170,85096446,259272168,140208199,152898498,164729783,159653229,159653227,148986408,135747881,126861433,113009469,106045190,93017649,93017648,93017657,78907670,255273546,53547958,65572713,256143172,106038465,91840775,257614298,52812009,52812008,64727266,64727285,64727286,77917508,91840800,106038473,91958298,78030987,78030988,64833571,52908765,42499209,42499208,52908763,64833569,78031026,91958344,106156593,120359408,134086519,258428540,134086515,120250808,106045191,106045192,91958285,91958286,106156528,106045194,91846679,77922475,64731402,64731403,77922477,77917504,77917505,91840793,91958303,106156545,120359366,121808573,107426189,93017652,256038966,107426192,121808577,135747885,130155927,121808575,121808574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6712942, s2 = 15267850, dlinesl.size( ) = 2 s1 = 6712942, s2 = 15267850, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6712942, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14088052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088052, s2 = 8254953, int(edited[s2]) = 0 s1 = 14088052, s2 = 8254953, d1 = 2, d2 = 4 Dl.O(d1) = 89307874 Dl.O(d2) = 73593605,60844052,257036697,30902582,255540481,255153351,8127439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088052, s2 = 8254953, dlinesl.size( ) = 2 s1 = 14088052, s2 = 8254953, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14088052, Dl.E( ) = 14, 4.77e-06 seconds used appending s1 = 15609185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15609185, s2 = 14164661, int(edited[s2]) = 0 s1 = 15609185, s2 = 14164661, d1 = 30, d2 = 23 Dl.O(d1) = 73115507,73115508,60375626,48978981,39056651,39056650,258190635,86721139,100696586,91697018,77769498,64586562,52685944,42299246,42299245,52685942,52685913,257799579,71194389,58472910,58472911,71194390,84762727,95279040,95279041,109533738,99623277,85675030,85675031,259983373,259301342,86009324,72412734,59677462,48290550,38379917,38379916,46798645,46798644,58165899,58744617,71474113,61372510,49892043,49892044,58165868,70879767,84437016,85045845,71474127,71474128,258697799,270299605,98970854,259943303,88165678,259526293,74550348,74550349,85551691,85551692,88165687,85551674,85551673,85551716,71964153,71964151,73499107,60750206,60750207,73499108,61889156,61889155,74682164,257415684,58193727,60750227,50398846,50398845,61889157,73499110,259419178,60750213,49347354,257029266,23383860,23383861,30812646,24159703,24159702,31669219,257087732,40265356,31578275,31578274,31669250,31669249,40363818,40265329,31578255,24072580,24072579,27264860,35390462,44815243,55721735,258415316,51194004,51194005,62843776,75807823,89590317,100097181,92284835,92284834,78258227,64985109,53010323,42570285,42570286,53010325,58485740,57653621,46308901,256513227,31243223,36456122,46308905,57653625,58184198,46817706,257424501,70897459,72071328,85658406,99607851,102364574,88367582,74738596,61944044,50452598,50452597,61944039,74738595,88367580,88309355,88309354,102303788,116218741,102157128,88165752,74550406,74550407,88165755,102157132,116218745,128984451,115058881,115058880,128984449,123981838,109842454,95639138,81606527,74738613,74738614,88367601,100988363,100988362,94409138,80354830,66928660,54672063,43929873,43929872,257888111,80354829,94409136,94409156,80354851,66928684,54672077,43929883,34656964,255963618,14221223,14221222,19850082,26665351,34656954,43929865,54672051,66928644,66928618,66928617,80354782,66928642,270111863,80354790,80354787,66928625,54672035,43929858,34656949,34656948,43929856,54672031,66928619,54672048,54672047,66928641,259136089,108696279,113735878,109352337,95097489,81039011,67570074,55226870,55226869,257739974,44813064,55719617,68116048,68116047,74244103,61465651,49988340,39972515,39972514,49988338,61465649,74244101,87848502,101822481,115868819,129768108,143098570,260747058,159402227,152006920,139299790,270830056,112116999,258502158,70712396,57995581,57995580,70712360,57995531,46619370,46619371,57995533,70712361,84263698,98157626,112116986,125950635,139299786,139299788,260968774,163875315,261446948,138878804,260284862,127198354,125950633,112116984,112116983,125950632,125545977,111739678,99338259,85394879,71806938,71806937,85394877,98157632,111739684,111739685,125545986,138878814,151581482,151581487,138878822,138878823,142599381,129228749,115300708,101222735,87221896,73599894,60850339,49448572,49448571,39516627,257037201,258226191,87221889,101222725,101222726,259101932,60850336,60850337,73599892,87221893,87221894,101222733,115300705,129228747,142599377,155236462,155236465,166921643,177460683,175158284,164367057,164367056,175158281,184734299,184734298,175158280,175158279,184734296,175158298,175158290,164367060,152501132,152501131,139782017,139782016,139782015,126407519,112537381,98542924,84618302,84618303,98542926,112537384,261097651,126407511,112537376,98542918,84618301,84618300,98542922,258671910,71053983,58338011,46970080,46970079,58338010,71053984,84618308,71053994,58338018,46970086,37088588,37088589,46970088,58338022,71053990,71053991,84618311,98542931,107637388,93233580 Dl.O(d2) = 89461884,259582233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15563796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15369297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9158026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1565955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1565955, s2 = 7260671, int(edited[s2]) = 0 s1 = 1565955, s2 = 7260671, d1 = 15, d2 = 13 Dl.O(d1) = 39717328,31039959,257627297 Dl.O(d2) = 264689165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1565955, s2 = 7260671, dlinesl.size( ) = 18 s1 = 6869125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6572806, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 926970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8256793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8256793, s2 = 4156649, int(edited[s2]) = 0 s1 = 8256793, s2 = 4156649, d1 = 25, d2 = 23 Dl.O(d1) = 61385929,74166550,87771191,101744184 Dl.O(d2) = 263967393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8256793, s2 = 4156649, dlinesl.size( ) = 28 s1 = 2940457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13422205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13676593, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9142312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9142312, s2 = 7984402, int(edited[s2]) = 0 s1 = 9142312, s2 = 7984402, d1 = 14, d2 = 12 Dl.O(d1) = 101801395,259161908,61442549,74222361 Dl.O(d2) = 31272619,255560025,255560027,256221832,22791357,16575304,11556328,9866596,6481436,4061497,4061498,2932321,254169841,544681,544683,966822,1700692,2932337,4866299,4903693,4903694,7743747,11625460,8624598,8624597,12695285,17918391,16425928,11441268,7608000,4813091,4813092,7608002,11432756,16416955,22032085,15930587,11053710,11053711,7483037,4860811,2931984,1700484,966718,544636,544637,966720,1700488,2931990,4862080,4862081,7684159,4864763,4864762,4900880,4820040,2904604,2904606,4820045,7618146,11453428,16410172,13344055,11426032,7595246,7595245,7605675,4811695,2899879,254360211,7605677,11438104,16422032,21251700,15286644,10552137,6959480,4372635,4372633,6959473,10552123,10528916,6943945,6943943,10528909,10573490,6974245,4381270,4381272,6974249,10573494,15310087,15308675,15308674,13520978,13520979,18957292,15161768,15161769,15309533,15309531,21270787,21248391,15282525,15282524,15294172,15294171,15282525,10548240,10548239,10573494,15310087,15308675,15308674,13520978,13520979,18957292,15161768,15161769,15309533,15309531,21270787,28456561,255512616,25567619,18959116,18959117,15294115,15294116,13514108,13514109,18950748,25562506,23437267,17162551,17162552,12069368,12069369,15698242,15266679,10534098,6947112,6947110,8619480,8112340,5197287,3170970,2620113,2620112,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700250,10700245,9247513,9247516,6056424,6056420,9247542,254596136,13508411,13508410,15730172,254748655,4538795,4538796,5196408,254574527,10893483,10893482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9142312, s2 = 7984402, dlinesl.size( ) = 16 s1 = 2627473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7625386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11319782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13347775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6626840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2420009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2420009, s2 = 14333845, int(edited[s2]) = 0 s1 = 2420009, s2 = 14333845, d1 = 3, d2 = 31 Dl.O(d1) = 66860505,80289812 Dl.O(d2) = 100407160,260404496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2420009, s2 = 14333845, dlinesl.size( ) = 38 s1 = 13250333, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14240951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15061793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6810076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13987789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2951015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2951015, s2 = 2951013, int(edited[s2]) = 0 s1 = 2951015, s2 = 2951013, d1 = 4, d2 = 2 Dl.O(d1) = 87977881 Dl.O(d2) = 87977877,259317061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2951015, s2 = 2951013, dlinesl.size( ) = 12 s1 = 6530814, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2637049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2637049, s2 = 11815066, int(edited[s2]) = 0 s1 = 2637049, s2 = 11815066, d1 = 14, d2 = 68 Dl.O(d1) = 74403525 Dl.O(d2) = 25127634,19536675,13988857,9609826,6311956,3955966,2369000,1371353,780606,442595,442590,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225004,18671192,22931095,30332036,33780301,30700127,23284419,23284420,22439851,22439849,25595317,25595318,29708492,25969724,19303126,19303125,17695241,17695242,15869826,15869827,21963627,29290396,21964074,15870173,10999457,7281229,7281230,10999460,15870180,16696525,22931141,255244463,254639899,5874664,4922126,2968218,1722013,1722011,2968211,4922115,7768620,11657199,11869777,13199956,18575027,21086503,21086504,25686942,22353056,16201866,16201868,16201835,11262718,7476847,7476846,10998584,10998581,9318022,6103840,6103844,9317990,9317973,9317749,9317746,7279912,4591223,2762298,1601354,910572,910570,1601433,2418021,4034966,6431872,9782995,254953687,9609824,13988851,19536674,26254796,34119663,34119662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2637049, s2 = 11815066, dlinesl.size( ) = 64 s1 = 1316213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2638450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2638450, s2 = 15553070, int(edited[s2]) = 0 s1 = 2638450, s2 = 15553070, d1 = 6, d2 = 13 Dl.O(d1) = 74448947 Dl.O(d2) = 25095662,32795088,41711465,50302351,45643628,35973938,35973937,41711424,41711425,40282084,31597739,24094010,255193519,12548811,17735922,24094007,31597736,32795076,25095654,18548615,254906593,8983651,13179311,18548622,25095670,27659964,20600103,14774656,14774655,20600100,27659961,32794837,25411581,25411582,25095454,25095453,32794869,40282077,256618433,32795075,41711447,35396522,27269743,27269744,32795097,32795096,40282093,41711243,41711244,35973944,27659962,27659956,27659957,268685885,24094024,31597762,31779347,31597737,25095459,18548448,18548449,25095460,32794871,41711227,41711226,41711238,52021994,52021990,52021989,52021993,41711236,32794839,27269742,256240575,40282092,31597744,31597743,40282089,50302356,61781681,52022000,256618401,25095437,25095435,31597759,24266775,17887997,17887996,24266773,18548452,18548451,25095420,18548426,13179163,13179162,18548424,256104007,20802144,20802145,27964484,36422876,46275523,46275524,269067625,32794878,25095468,25095469,32794882,32794857,25095439,25095441,24748930,18275414,18275412,24748928,32365608,27964494,27964495,25095402,25095403,32794817,25095428,18548432,18548431,25095426,27966707,256267837,257172803,41711223,32794826,256267645,27964497,20804245,14909938,10252104,10252103,14909935,20804240,27966709,36425243,46277959,41181416,36425258,27966730,20804254,20804253,27966728,36425255,46277964,46277962,256824516,40474017,40474016,46277972,46277973,269840806,14909926,14909925,11852380,11852379,268241933,16934795,11852376,11852377,16934797,23205232,16934830,16934832,23205290,30627975,39225942,49152665,49152648,49152616,49152617,60552154,60552109,257383127,36425239,36425238,46277955,57622343,70312732,256032506,38289199,254864436,17493017,17493018,23205251,16934807,11852382,11852383,255523165,256470255,49152611,256593197,32365601,41181411,51367423,49152650,49152651,257993572,60552134,49152598,49152597,60552129,73295394,72319675,59585091,59585090,67575371,55232785,55232784,58931063,47548722,47548721,58931062,52275011,41936072,41936073,41936080,32995221,25271039,18699103,13306123,255249947,25271044,32995231,30627927,30627925,39225868,49152601,258070914,68080768,70310421,57619957,57619958,60552119,60552120,60552128,49152596,39225863,30627920,30627919,27964466,20802134,20802135,27964468,36422855,46275504,49152599,52275006,52274987,52274988,46929176,46276362,46276363,46276370,36423693,36423692,46276368,57620589,57620588,55682174,52274984,52274983,64124186,70310416,64124208,52275015,41936076,41936077,46276346,36423673,27965186,27965185,36423672,44773450,44773449,55682164,57620440,70310855,70311014,70311013,68080779,55682181,44773443,35348327,35348328,44773445,46276352,36423677,27965188,27965189,36423678,46276353,46276157,36423522,27965088,20802705,20802704,255341737,14565218,20296770,27225293,35348335,44773452,46276009,44773440,36423512,27965080,20802694,14908690,14908689,20802691,27965075,36423508,36423530,255781437,20802712,14908713,10251102,6735622,4220164,4220163,6735620,10251097,14565201,20296742,21757373,21757372,21072472,15136537,15136536,14908745,10251120,6735633,4220170,4220171,6735636,10251129,14908757,14565210,10022500,10022501,14565213,20296761,27225279,35348318,27965111,20805318,20805319,27968179,27965108,27965109,36423550,27965196,27965195,268597633,27968175,20805309,20296752,20296753,15702682,10870216,10870215,15702680,20802784,14908741,14908739,20802783,27964458,20802129,20802130,27964460,36422846,27965210,20805322,14910713,10252647,6736784,254703399,14910711,14910702,10252643,10252644,14910705,20802864,20296480,14564970,14564969,14565049,10022388,6587087,4126876,2468686,1426905,1426904,2468683,4126870,6587081,10022376,10252144,10252143,14909979,20802467,14908464,14908465,14908255,255356667,14908221,14908220,14909761,20804018,21655326,15620458,14909386,10251619,10251618,10022517,6587171,6587141,4126902,2468697,1426910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2638450, s2 = 15553070, dlinesl.size( ) = 2 s1 = 2638450, s2 = 15553070, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2638450, Dl.E( ) = 20, 1.12e-05 seconds used appending s1 = 15077732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15077732, s2 = 10218755, int(edited[s2]) = 0 s1 = 15077732, s2 = 10218755, d1 = 36, d2 = 43 Dl.O(d1) = 55355859,44509320,35132559,256748875,20154437,20154436,27046977,35132558,44509319,55355858,67695756,81161676,95218445,84088050,70551174,258013876,46493351,36626909,28153326,20974786,15063904,10388153,6846298,4295856,4295855,6846297,10388151,15063900,16623001,11595186,7718720,7718721,6337548,3975490,2382003,2382001,3975480,6337528,9640510,9640942,7226558,6337820,6337818,9640961,14024907,19577628,22848651,18670879,18670877,25240651,23279795,17021047,255527311,30695020,255988446,40461808,40461805,255988444,74785727,256880068,71443539 Dl.O(d2) = 224948601,226985541,228761618,266028943,231715591,231715592,232964847,234095737,235124776,266423384,233646301,266148038,231715592,232964848,234095740,266536467,237372214,236567113,236567112,237372212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15077732, s2 = 10218755, dlinesl.size( ) = 2 s1 = 15077732, s2 = 10218755, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15077732, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 2641608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2641608, s2 = 3397249, int(edited[s2]) = 0 s1 = 2641608, s2 = 3397249, d1 = 2, d2 = 6 Dl.O(d1) = 74505910 Dl.O(d2) = 112568744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2641608, s2 = 3397249, dlinesl.size( ) = 2 s1 = 2641608, s2 = 3397249, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2641608, Dl.E( ) = 24, 2.29e-05 seconds used appending s1 = 8251954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2959189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15518747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16175700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15528003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15528003, s2 = 4169649, int(edited[s2]) = 0 s1 = 15528003, s2 = 4169649, d1 = 88, d2 = 37 Dl.O(d1) = 12583530,8536149,5534133,5534134,8536137,8536135,12583497,17780309,256038173 Dl.O(d2) = 156068239,146860307,133603351,270355194 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15943067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15943067, s2 = 11877013, int(edited[s2]) = 0 s1 = 15943067, s2 = 11877013, d1 = 62, d2 = 69 Dl.O(d1) = 233929148,232992694,231746736 Dl.O(d2) = 73581789,257434878,49430322,39499160,30891966,256490309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15943067, s2 = 11877013, dlinesl.size( ) = 2 s1 = 15943067, s2 = 11877013, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15943067, Dl.E( ) = 70, 1.72e-05 seconds used appending s1 = 2647626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2649808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6524722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6524722, s2 = 11500378, int(edited[s2]) = 0 s1 = 6524722, s2 = 11500378, d1 = 44, d2 = 53 Dl.O(d1) = 255564756 Dl.O(d2) = 264416250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6524722, s2 = 11500378, dlinesl.size( ) = 12 s1 = 9032203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9032203, s2 = 8152502, int(edited[s2]) = 0 s1 = 9032203, s2 = 8152502, d1 = 7, d2 = 2 Dl.O(d1) = 61699668,256931420,40486619,31791496,31791495 Dl.O(d2) = 130049026,260587594,99790501,85850417,72259306,72259307,63390475,51647794,41407065,41407066,51647797,63390477,76434140,72259309,59525730,59525731,71010509,71010510,58416579,58416581,71138105,84574297,71010457,71010458,70347235,70347236,70798293,58081577,58081576,67546149,55202379,44563575,44563576,55411253,258255924,85850432,85850433,84707884,71138100,58416575,47041910,37151568,28636370,28636369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9032203, s2 = 8152502, dlinesl.size( ) = 8 s1 = 14092750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13582143, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13529577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13529577, s2 = 13407740, int(edited[s2]) = 0 s1 = 13529577, s2 = 13407740, d1 = 14, d2 = 6 Dl.O(d1) = 84110999,97985681,84110956,84110957,97985682,260007839,85997938,72401593,59665945,59665946,72401594,72401529,72401528,85997886,99956540,88483870,85997959,72401617,72401616,85997913,85997912,85997905,72401568,72401531,59665892,59665891,48278044,48278045,57873642,57873641,70574579,84110966,85997951,72401603,72401604,85997953,256951400,71429683,71429705,58697325,47307174,47307175,58697327,53171930,53171929,65156705,71429715,58697337,58697338,71429718,85002590,98927256,85997975,85997974,258141008,99311807,85366858,71777017,59034487,47632244,47632243,258090901,85366854,99311802,85997977,74756764,257632152,31730178,31730177 Dl.O(d2) = 50461077,61956944,74756754,78439447,78439420,257825999,42722238,33692070,256676449,53171911,65156678,62639030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13529577, s2 = 13407740, dlinesl.size( ) = 2 s1 = 13529577, s2 = 13407740, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13529577, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6720559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6720559, s2 = 4175540, int(edited[s2]) = 0 s1 = 6720559, s2 = 4175540, d1 = 10, d2 = 13 Dl.O(d1) = 257691863 Dl.O(d2) = 262847133,143797516,156322415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6720559, s2 = 4175540, dlinesl.size( ) = 12 s1 = 2322348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2322348, s2 = 10480024, int(edited[s2]) = 0 s1 = 2322348, s2 = 10480024, d1 = 11, d2 = 13 Dl.O(d1) = 62218912,75042051,88692871,102702035,116794639,130619466,143926983,156433892,167997556,178410601,187601093,195602923,202444541,208193065,202444551,202444550,208193073,212933589,212933587,212933588,208193076,202444552,195602930,195602929,202444550,274020751,212933586,208193072,208193071,202444555,202444554,208193064,208193065,208193074,212933589,216808734,216808738,216808739,216808743,216808732,265262371,216808732,264586575,208193070,212933584,212933592,216808735,216808733,212933586,212933585,212933579,208193066,202444543,195602924,187601094 Dl.O(d2) = 178410605,167997560,167997559,167997558,178410604,187601099,195602934,202444559,202444545,202444544,208193067,202444562,202444561,208193089,274125911,208193085,202444558,202444548,195602927,195602928,264309457,212933588,212933591,274125911,208193078,202444553,195602930,187601097,178410603,178410604,187601099,195602934,202444560,208193087,212933580,208193066,202444542,195602924,187601094,178410602,263275009,264001603,187601094,178410602,167997557,167997558,178410604,187601098,195602932,202444557,208193083,212933593,212933600,208193092,202444567,195602938,195602937,202444566,208193093,212933583,212933582,212933588,208193076,208193075,208193080,202444555,195602931,195602932,202444557,208193083,212933593,216808737,216808731,216808730,212933603,212933601,208193092,208193082,202444556,202444557,208193081,202444556,202444557,208193083,212933594,216808739,212933604,208193095,202444568,195602938,195602937,202444565,208193082,202444556,202444557,208193083,212933594,216808739,212933604,208193095,202444568,195602938,195602937,202444566,208193093,212933583,208193069,202444545,202444544,208193068,208193090,202444562,202444561,208193088,212933590,216808733,212933586,208193072,202444549,264309457,212933588,212933591,274125911,208193085,202444558,202444548,202444547,195602938,187601102,187601101,195602936,202444564,208193091,212933599,216808741,220020594,222732374,225062130,227086038,227113296,225093854,222770106,220068483,216870900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2322348, s2 = 10480024, dlinesl.size( ) = 2 s1 = 2322348, s2 = 10480024, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2322348, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 2973120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11192730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11192730, s2 = 7265333, int(edited[s2]) = 0 s1 = 11192730, s2 = 7265333, d1 = 22, d2 = 7 Dl.O(d1) = 1285104,1285101,2214460,3697785,267927963,254427214,269027282,75581079,260190809,93450941,260955725 Dl.O(d2) = 264671389,264739430,128244248,128244247,141595485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11192730, s2 = 7265333, dlinesl.size( ) = 8 s1 = 8096621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8264585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6723101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6723101, s2 = 11600670, int(edited[s2]) = 0 s1 = 6723101, s2 = 11600670, d1 = 88, d2 = 152 Dl.O(d1) = 257725381 Dl.O(d2) = 267387581,245215982,245299800,267397322,244609515,244497985,244286456,267266244,267210460,242961734,274858118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6723101, s2 = 11600670, dlinesl.size( ) = 48 s1 = 8447932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103959, s2 = 7385756, int(edited[s2]) = 0 s1 = 14103959, s2 = 7385756, d1 = 40, d2 = 140 Dl.O(d1) = 118503835 Dl.O(d2) = 236636146,235759298,266324209,266108633,231289501,266221075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103959, s2 = 7385756, dlinesl.size( ) = 22 s1 = 11166048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10213141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10213141, s2 = 11070226, int(edited[s2]) = 0 s1 = 10213141, s2 = 11070226, d1 = 28, d2 = 11 Dl.O(d1) = 254594542,23854360,31347929,40027810,40031717,31352772,23859283,17515985,17515984,23859280,31352768,38834300,37512355,28969106,21687320,15648338,15648337,21687318,256346231,41425452,255890900,18407452,24913084,32565276,41425454,51667556,63410864,76454679,90284577,104435526,118619885,112965741,259418870,85051639,259324829,261672633,131852401,131852400,118026369,103883617,89782079 Dl.O(d2) = 256165820,256165822,42872244,42872252,36979185,28481885,21264306,21264305,255698242,256683540,65321214,53322542,42860317,33819028,26001846,19329172,254456488,33819026,42860313,50026293,256683624,29918731,23835533,17496250,12336462,8334024,8334025,12336464,17496256,16160241,11227775,11227777,16160243,22306605,29658686,38224855,31326573,31326572,40004536,31326688,255563849,12336486,8334038,5378903,5378904,8334040,12336490,17496299,255244276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10213141, s2 = 11070226, dlinesl.size( ) = 2 s1 = 10213141, s2 = 11070226, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10213141, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 13690017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6583604, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2679776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111434, s2 = 14245109, int(edited[s2]) = 0 s1 = 11111434, s2 = 14245109, d1 = 8, d2 = 40 Dl.O(d1) = 128392019,132625519,118806386,104625470,90461298,90461297,104625469,118806383,118806388,257455284,76602751,63523106,51745093,41476123,255647970,24936601,32598835,41476121,51745088,63523101,76602745,90461282,104625434,104625452,118806359,118806373,104625463,90461289,76602748,76602749,256875422,104625443,90461264,269961239,41476117,41476118,51745083,63523097,72111552,60521351,60521352,52688799,42302028,42302027,52688795,64589296,63523095,63523094,76602736,90461261,91699478,86564139,86564140,91699467,77772058,77772059,85697752,256875416,268923210,88484056,77772065,64589300,52688797,52688796,64589298,77772063,91699474,99646905,100525545,114556337,128440569,132625484,118806339,118806340,258690552,113660733,99646847,85697755,72111546,59378738,59378739,72111549,72111555,72111556,85697765,99646853,105906738,112783213,98790682,84862299,71287808,58555771,47166814,37260965,28728988,28728987,28729082,37261107,38075742,29511445,29511446,255844640,59378747,59378769,72111591,85697807,99646907,105906746,105906735,91699470,91699469,84942567,71365917 Dl.O(d2) = 11176739,16092049,19615519,14056453,14056452,19615514,26344375,34218026,43315783,46926660,48051271,48051270,58555492,47166522,47166523,48051242,38137963,34218042,31195078,23706409,23706407,31195071,37048701,28549042,21324577,15352719,15352718,21324542,15352698,15352700,15352705,21324553,28549020,22225266,16092059,16092058,15964735,255447751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111434, s2 = 14245109, dlinesl.size( ) = 2 s1 = 11111434, s2 = 14245109, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11111434, Dl.E( ) = 42, 1.69e-05 seconds used appending s1 = 2682617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2994375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2994375, s2 = 4182297, int(edited[s2]) = 0 s1 = 2994375, s2 = 4182297, d1 = 22, d2 = 31 Dl.O(d1) = 90555953 Dl.O(d2) = 157129020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2994375, s2 = 4182297, dlinesl.size( ) = 2 s1 = 2994375, s2 = 4182297, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2994375, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 6455208, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2683823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11286568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2998065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2998065, s2 = 6490941, int(edited[s2]) = 0 s1 = 2998065, s2 = 6490941, d1 = 11, d2 = 12 Dl.O(d1) = 90809539 Dl.O(d2) = 255154294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2998065, s2 = 6490941, dlinesl.size( ) = 14 s1 = 6725974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6725974, s2 = 6696468, int(edited[s2]) = 0 s1 = 6725974, s2 = 6696468, d1 = 31, d2 = 52 Dl.O(d1) = 257761489 Dl.O(d2) = 71289430,84863773,98792072,258686139,257450637,256329817,28730613,37262660,269316255,259312903,258061491,258061489,259312901,259683658,48850397,48850401,52311210,41970524,38930514,33463244,25691038,25691039,33463248,42456246,48850356,60243866,48850374,38930465,30344415,30344416,38930469,40651091,31930867,24395064,24395063,22943178,16707337,11666893,7777222,7777221,11666888,16707331,22943168,22943131,22943130,30344369,31930875,24395068,17993610,12753527,12753528,17993613,24395073,31930882,40651109,38930454,30344405,30344406,35797365,42515557,38930444,30344398,30344397,256995645,42456262,33463258,25691047,19066784,19066783,25691043,33463253,42456254,52860219,60242899,53320085,42857290,42857289,48850361,38930414,30344379,22943137,16707314,16707315,22943139,22943156,16707322,16707323,20525738,20525737,27545817,35797370,38930394,38930440,38930439,33463275,25691063,19066797,13611998,9320748,9320747,13611995,19066792,25691059,254659910,19436832,26132034,33970805,43028468,48736099,50716158,48850351,38930406,30344374,30344375,38929403,30343361,22942140,22942141,30343365,38929408,48849379,40030178,31349687,23855574,17512321,12348984,12348983,17512315,23855564,31349676,40030162,50050285,61529694,52926123,42515567,42515566,52926121,64851705,60243875,48850366,48850363,47380029,37472844,33515564,25736060,19103186,13639186,13639189,19103191,21654056,28931458,37472847,257465197,71496878,259326215,260545739,259360159,72005784,59269697,47874026,37955677,29390572,22059954,15955653,15955652,22059953,29390570,29390582,37955688,47874036,59269712,72005799,85592693,259978425,109366504,95112450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6725974, s2 = 6696468, dlinesl.size( ) = 2 s1 = 6725974, s2 = 6696468, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6725974, Dl.E( ) = 56, 2.31e-05 seconds used appending s1 = 10210860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7668387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7668387, s2 = 13533436, int(edited[s2]) = 0 s1 = 7668387, s2 = 13533436, d1 = 9, d2 = 6 Dl.O(d1) = 271812572,119234310,258775172,76985422,76985423,90863426,105041921,90863436,90863437,76985443,63874557,52055656,52055657,63874558,76985444,76985434,63874553,63874552,76985433,90863434,76985447,76985446,76985413,63874541,52055647,52055648,63874543,76985416,90863418,90863422,90863423,90863432,90863439,90863440,105041919,90863416,76985415,63874542,63874543,76985416,90863418,90863422,90863423,90863432,90863439,90863440,90863427,90863428,76985426,63874548,63874549,76985427,90863420,90863441,90863433,90863421,76985421,63874546,63874545 Dl.O(d2) = 105041925,90863436,90863437,76985443,63874557,52055656,52055657,63874559,76985446,76985413,63874541,52055647,52055648,63874543,76985416,90863418,90863422,90863423,90863432,90863439,76985440,76985441,90863431,76985430,63874550,52055653,41740978,41740977,52055651,63874547,76985423,76985435,63874553,52055654,52055655,63874554,76985437,90863431,76985430,76985429,76985415,76985414,76985411,76985410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7668387, s2 = 13533436, dlinesl.size( ) = 2 s1 = 7668387, s2 = 13533436, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7668387, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 6726405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6720830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15543749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15543749, s2 = 3003464, int(edited[s2]) = 0 s1 = 15543749, s2 = 3003464, d1 = 0, d2 = 0 Dl.O(d1) = 87584058,255431602,47348893,37442149,28902547,254343384,10789682,7128606,7128608,10789688,15597019,16252538,16252539,254839106,16347993,11375549,7557354,4778799,254535791,4778543,267993504,22520544,254834818,38432810,38432813,38432272,29871641,22512806,21565181,21565183,16356081,11382421,11380422,7560844,7560843,267888878,11353026,254779652,8238955,12207314,11375626,11375625,14242830,11377565,9928621,6525201,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836976,11738129,16787683,18595023,25152023,29870569,29870570,37876453,254840566,16075927,16075928,22172803,267843200,4669636,4669637,7391310,11143407,8229446,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445826,2445827,267797480,9928178,14433045,17096102,12009384,12009383,12002075,12002074,14434394,9929112,6525481,4088583,2445978,1414226,804622,804623,1414229,2445985,4088593,6525502,9929152,14434455,20126338,23654754,17337738,14432477,9927760,6524691,254690419,8219862,8219863,12189470,267800686,254602576,254392448,22487395,16314772,11350875,11350876,16314774,17300537,17068077,11978664,11978665,17068080,20081943,16873976,267841848,11351007,11351006,16314975,17587934,12414637,8390942,5414869,5414870,8390946,12414650,17587960,16322618,11355837,7544877,7544876,11355830,16322609,21510952,21510951,22497303,16323230,16323231,22497306,29860496,38425025,48331354,38425489,29861382,22498448,16324327,11356949,7545496,4772277,4772278,7545498,11356954,16324335,22498459,29842381,29842383,22497195,16323151,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,8153330,5224302,5224303,7431374,4695953,4695954,7431379,7543347,4771237,2876126,1669488,1669490,2876140,4771257,7543387,11352938,11352937,16318085,22491355,16769411,11723421,10587306,6984162,6984164,10587314,10587193,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272858,22023008,254347912,7628528,7628527,11468630,16459736,21297822,15330378,15330379,17513691,12350060,12350059,17513687,22024744,23544199,17236102,17236101,23544197,17316325,17316326,22023163,15922208,11045285,11045286,15922210,22023168,254233558,17302339,12180277,8212041,5283155,3236207,3236206,5283153,8212037,254232492,16331254,16331252,11373843,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337366,22511207,17514723,17514649,17514647,22516749,23857847,20302899,14570195,254518966,6589507,10026170,10026205,14485262,9966537,9966539,14485270,15884622,11011348,7289397,7289396,11011343,15884614,17514714,22521249,22521248,17338397,12212460,8243135,8243136,12139180,11382183,11382184,16355802,20126784,20126786,27016983,27015214,22521384,16348189,12169138,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836982,11738143,12136738,8166695,8166696,12136742,17256779,23568275,17259335,12139353,8169031,8169030,7815672,4958247,4958248,7539587,4769341,2875179,2875182,4769354,7539613,11346078,14435743,14435746,14435303,9929760,6525886,6525888,9929764,14435308,14435315,14435316,20127244,22515267,2987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Dl.O(d2) = 87584058,255431602,47348893,37442149,28902547,254343384,10789682,7128606,7128608,10789688,15597019,16252538,16252539,254839106,16347993,11375549,7557354,4778799,254535791,4778543,267993504,22520544,254834818,38432810,38432813,38432272,29871641,22512806,21565181,21565183,16356081,11382421,11380422,7560844,7560843,267888878,11353026,254779652,8238955,12207314,11375626,11375625,14242830,11377565,9928621,6525201,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836976,11738129,16787683,18595023,25152023,29870569,29870570,37876453,254840566,16075927,16075928,22172803,267843200,4669636,4669637,7391310,11143407,8229446,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445826,2445827,267797480,9928178,14433045,17096102,12009384,12009383,12002075,12002074,14434394,9929112,6525481,4088583,2445978,1414226,804622,804623,1414229,2445985,4088593,6525502,9929152,14434455,20126338,23654754,17337738,14432477,9927760,6524691,254690419,8219862,8219863,12189470,267800686,254602576,254392448,22487395,16314772,11350875,11350876,16314774,17300537,17068077,11978664,11978665,17068080,20081943,16873976,267841848,11351007,11351006,16314975,17587934,12414637,8390942,5414869,5414870,8390946,12414650,17587960,16322618,11355837,7544877,7544876,11355830,16322609,21510952,21510951,22497303,16323230,16323231,22497306,29860496,38425025,48331354,38425489,29861382,22498448,16324327,11356949,7545496,4772277,4772278,7545498,11356954,16324335,22498459,29842381,29842383,22497195,16323151,15923952,11046690,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,8153330,5224302,5224303,7431374,4695953,4695954,7431379,7543347,4771237,2876126,1669488,1669490,2876140,4771257,7543387,11352938,11352937,16318085,22491355,16769411,11723421,10587306,6984162,6984164,10587314,10587193,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272858,22023008,254347912,7628528,7628527,11468630,16459736,21297822,15330378,15330379,17513691,12350060,12350059,17513687,22024744,23544199,17236102,17236101,23544197,17316325,17316326,22023163,15922208,11045285,11045286,15922210,22023168,254233558,17302339,12180277,8212041,5283155,3236207,3236206,5283153,8212037,254232492,16331254,16331252,11373843,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337366,22511207,17514723,17514649,17514647,22516749,23857847,20302899,14570195,254518966,6589507,10026170,10026205,14485262,9966537,9966539,14485270,15884622,11011348,7289397,7289396,11011343,15884614,17514714,22521249,22521248,17338397,12212460,8243135,8243136,12139180,11382183,11382184,16355802,20126784,20126786,27016983,27015214,22521384,16348189,12169138,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,7836979,7836982,11738143,12136738,8166695,8166696,12136742,17256779,23568275,17259335,12139353,8169031,8169030,7815672,4958247,4958248,7539587,4769341,2875179,2875182,4769354,7539613,11346078,14435743,14435746,14435303,9929760,6525886,6525888,9929764,14435308,14435315,14435316,20127244,22515267,29873223,31091056,35102543,30405870,23000708,23000707,30405869,29874921,29874919,38434229,31350687,23856665,23856666,22496304,22496303,23608144,29872382,22513891,16340202,11369228,7553169,7553170,11369232,11369624,16234173,16234172,267888262,16340615,22514249,29872586,25300052,25300050,29866072,23566411,22487541,22487539,29853070,29859758,268250640,254585468,38420952,29853144,22487673,16314993,16314994,18710784,13317637,13317636,18710782,17587938,12414640,8390942,5414869,5414870,8390946,12414650,17587960,16322618,11355837,11355834,16322616,22496559,29859929,38424712,40022648,40022649,38421133,29853479,29853478,38421131,38919231,30332819,22931926,22931929,22389751,22389752,16341129,11369980,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,16122970,22263458,22263544,22263545,22491283,16318018,11352904,11352905,16318023,16302470,11343207,11343208,16302474,22471886,23543883,29844108,22477444,22477443,29844107,29854316,22489150,16316274,11351783,11351784,16316280,16234330,16234327,22394341,27992470,20833859,14935297,14935296,20833857,15160230,15160231,21105185,254806914,7540523,254357733,1669149,949851,949852,1669156,2875419,4769823,7540576,7555322,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271698,14935430,20834023,16343320,16343298,16343228,16343227,22516680,17273342,12152605,8183011,8183012,12152609,15152528,15152529,21095045,22022396,22022394,17277849,12157504,8188167,8188166,12157499,17277837,23589567,22519236,16345766,11373619,11373620,11381238,11381240,16354682,254395786,16349789,11377181,11377182,16349792,20125528,23587912,17276073,17276072,16354675,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337366,22511207,17514723,17514649,17514648,22516752,22516751,22650557,16459121,254835070,30023514,31135436,23647755,23647756,23628367,23628366,23633995,17318071,17318072,23633998,29307275,254584628,9929850,14435434,20127374,20124488,14432712,14432714,20124490,17587807,12414511,12414510,16459062,16459061,22650495,17514681,17514682,22518012,16344655,12166438,8197868,8197867,8206316,7555424,7555423,11369418,7836979,7836982,11738143,12136738,8166695,8166696,12136742,17256779,23568275,17259335,12139353,8169031,8169030,7815672,4958247,4958248,7539587,4769341,2875179,2875182,4769350,267798728,12414502,8390766,8390765,254182522,12169546,8201560,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360572,16329253,21100896,21100897,21614380,27017644,254238750,14434401,20126268,27017638,28313276,28313275,28313264,21102929,15158452,10453913,10453914,15158458,15158428,15158427,21102905,15540335,12189150,11354823,11354824,16321032,22494702,22389682,16230743,11283362,7490389,7490390,11283365,255469527,254777506,16309323,11347455,11347456,254525618,23641679,17324916,12199542,8230407,5301968,4905551,4905552,7746561,11629124,16662475,22475097,22394365,22394364,22491274,22483227,16311613,11348870,254535471,2875550,2875553,4770072,7541092,11348887,12117330,8148281,5220165,5220166,8148287,12117340,17235670,23543889,31025137,29854320,22489153,16316275,11351783,11351784,16316280,16234330,16234329,22394343,22777905,16562685,16562684,22483757,22483759,25580004,18971906,13536715,13536716,12199954,12199953,17325351,23642122,22020024,21105231,21105230,16306745,11345801,11345800,16306742,16302489,11343218,11343217,16302484,22471899,17539762,12371299,12371298,16735973,16735974,16737155,11693441,7798782,7798781,11693434,11693498,11693500,16737222,21105136,15160197,10455014,10455015,15160201,21105141,28315251,30375100,30375099,38960227,38596097,30023426,29880527,22524644,22524645,17513951,17513952,23857148,23544160,23544159,23008290,16768927,16343286,16343281,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556145,11373848,16346053,12196514,8226774,5297280,5297281,8226781,11730365,9928692,9928693,14433824,16350109,20125632,14433801,9928679,7561478,7561477,11381243,16354688,254393278,29840151,29354272,22023237,18595243,13214412,13214413,18595246,17329036,15918599,254390210,7555173,11372313,16344074,22517481,27017222,35103141,29883205,254393226,22517896,22517898,29875106,23590377,22530323,22530324,28840495,21569188,15546908,15546909,21569191,28840503,22498128,22498129,23647716,20123119,17321345,12196437,12196439,14221781,9927400,9927401,14431154,9926848,9926847,14431191,13330439,1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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15543749, s2 = 3003464, dlinesl.size( ) = 2 s1 = 15543749, s2 = 3003464, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15543749, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 6636031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6726898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3004891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3004891, s2 = 5222928, int(edited[s2]) = 0 s1 = 3004891, s2 = 5222928, d1 = 27, d2 = 25 Dl.O(d1) = 91168060,91168061,257769394 Dl.O(d2) = 44451323,35076408,35076407,44451321,258529525,62625768,257579822,24521189,18089663,12824646,8719216,5675475,5675476,8719220,12824655,18089679,24521214,32096365,40868133,48715677,39310887,32104923,24528820,24528819,256575719,46959598,256858396,7009607,4406596,4406594,4406595,7009605,10621198,15371237,21346478,28575195,37078994,46959597,58326930,58326929,71042488,84606433,98531064,112525575,126395683,139770571,127339408,113469886,99459687,85513783,71926250,59186823,47786804,37862447,29293227,29293228,255949120,31859992,40561651,50602649,62101203,74904552,88542833,102549383,116648547,130487372,143811859,156334342,167913387,178339593,178339594,187540680,195549753,202400332,208158299,212905566,216786799,216380529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3004891, s2 = 5222928, dlinesl.size( ) = 2 s1 = 3004891, s2 = 5222928, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3004891, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 6995254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6995254, s2 = 7364753, int(edited[s2]) = 0 s1 = 6995254, s2 = 7364753, d1 = 33, d2 = 87 Dl.O(d1) = 261121096 Dl.O(d2) = 205877028,264151082,194399553,201416194,207321552,210977386,205877003,199710541,199710542,273875738,192420406,183953285,174290780,263059519,186210478,194399529,264248615,199710535,199710534,205876996,210977379,215145652,218578292,265347577,226086478,227952935,226086475,223943203,221467556,221467555,223943201,265683781,229592717,265964561,227952938,227952937,265879728,226086476,223943205,223943204,226086474,223943203,221467556,218578291,218578292,265347577,226086478,227952935,226086475,223943203,221467556,221467555,223943201,265683781,229592717,265683778,226712027,265879727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6995254, s2 = 7364753, dlinesl.size( ) = 2 s1 = 6995254, s2 = 7364753, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6995254, Dl.E( ) = 90, 3.98e-05 seconds used appending s1 = 6727039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6727039, s2 = 8014480, int(edited[s2]) = 0 s1 = 6727039, s2 = 8014480, d1 = 88, d2 = 118 Dl.O(d1) = 257770237 Dl.O(d2) = 257037809,258226955,65045733,259020772,25794947,256153096,51097608,42024462,33080429,33080430,42024466,52362621,44598364,35217539,35217540,256905896,25349177,25349178,29747111,38315884,41509903,32626295,32626296,41509904,51785132,42021727,33077825,25347488,254889576,24002308,21129122,15180554,15180552,267852892,36838053,46720874,44597487,35216645,35216644,44597491,49884843,42024330,42024328,33827177,26009479,25477714,18876000,13451216,13451215,18577435,25130287,32835607,41756729,52070486,58245453,46878402,37000049,28502712,21284516,15320864,15320866,21284520,28502725,22722051,22722052,26224740,19509960,19509963,18970385,13964956,13964954,255066506,9385150,9385149,8949337,8949339,13130811,14174864,254232388,4345416,4019793,2408777,2408779,2410125,1394499,793001,449062,252685,252686,449072,793020,254212677,4022478,6411960,9751798,14182592,9749821,6410817,6410816,9749814,14182582,19800076,23752442,17426609,12282755,12282757,9744350,9744349,9747163,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151378,6151377,9389299,13708362,12282165,8294707,8294705,12282156,17425751,20298515,20298516,16920694,11842024,11842023,16920690,18927963,18927966,25540431,27271243,26608351,26608348,26608697,26608390,19800822,19800821,256198581,37775274,35397687,27271101,20335363,14594178,10042199,10042198,14594174,20335356,27271096,30606520,255445346,16921080,15160814 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2695080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16207937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3006399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6574761, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2919431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2919431, s2 = 10154598, int(edited[s2]) = 0 s1 = 2919431, s2 = 10154598, d1 = 6, d2 = 3 Dl.O(d1) = 60610286,73355203,86966655,91215761,77295504,64146439,52294153,41953256 Dl.O(d2) = 776575,776571,1362513,2352064,3928800,6274703,9562416,13931428,19466336,254657914,13538622,13538623,18973698,255438779,10991584,10991585,15858287,21947785,28281086,21076192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2919431, s2 = 10154598, dlinesl.size( ) = 2 s1 = 2919431, s2 = 10154598, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2919431, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 3009346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8269800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8269800, s2 = 10158790, int(edited[s2]) = 0 s1 = 8269800, s2 = 10158790, d1 = 21, d2 = 27 Dl.O(d1) = 268321314,9356509,6128754,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302303,13585564,255677893,19011188,268149711,6113695,3825260,2291813,254303685,254451239,6132088,6132089,6095242,6095243,9305106,13589712,255678265,22434320,22434319,19008113,19008112,268497047,23775977,17446280,17446279,16266697,11309686,11309685,13564419,13564418,13646694,9344686,6120748,3829506,2294306,1331168 Dl.O(d2) = 20420397,256244317,269216013,262104993,124513530,260965952,162945110,263815067,205694106,273508240,115898753,101852668,258590160,256520309,269398377,41748372,32827759,25123480,18571624,18571625,18573227,18573226,14775383,14775384,20601187,27661745,35976955,45648160,53322285,42859966,33818650,33818649,33820704,33820703,37241200,28710425,28710424,36954550,36954551,46832771,51384817,51384816,58199194,46833128,46833127,58199192,51384841,41193983,32375016,255876874,48047928,48047929,256914800,36945276,28445612,21219578,21219579,28445597,21219574,21219575,25365088,33098901,42047164,45357289,56431077,68952594,77397965,64248001,52392696,52392695,64247998,77397964,257928424,48126797,38216685,29650425,29650424,38216683,35309809,35309808,27190072,27190071,22298639,22298640,29650562,28855188,28855189,33170176,25427728,18834170,18834169,25427726,33170174,28154501,256286271,28154646,20975828,20975829,28154650,36628494,44349199,44349200,55199656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8269800, s2 = 10158790, dlinesl.size( ) = 8 s1 = 15590017, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6888726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6888726, s2 = 7995264, int(edited[s2]) = 0 s1 = 6888726, s2 = 7995264, d1 = 42, d2 = 63 Dl.O(d1) = 259696161 Dl.O(d2) = 8708542,12807889,18065546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6888726, s2 = 7995264, dlinesl.size( ) = 58 s1 = 11229490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229490, s2 = 3297562, int(edited[s2]) = 0 s1 = 11229490, s2 = 3297562, d1 = 87, d2 = 1 Dl.O(d1) = 255257110,18781230,25364063,257781225 Dl.O(d2) = 105533367,119766672,263697091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229490, s2 = 3297562, dlinesl.size( ) = 98 s1 = 6728533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6728533, s2 = 11243824, int(edited[s2]) = 0 s1 = 6728533, s2 = 11243824, d1 = 147, d2 = 144 Dl.O(d1) = 257205108,257782675,77411842,77411850,77411847,64262165,64262166,77411849,91330389,91330391,91330392,105548011,91330366,91330367,91330381,259038788,64262163,52406961,42063281,33114391,33114390,42063277,52406957,64262159,258411754,64262161,259024351 Dl.O(d2) = 78805510,78805511,260336713,107316133,92911558,78805510,65475447,65475446,78805509,259718373,78805498,65475439,65475438,73538509,60791432,60791433,73538511,87156713,101154560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 1684249, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15478789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15478789, s2 = 11830277, int(edited[s2]) = 0 s1 = 15478789, s2 = 11830277, d1 = 51, d2 = 1 Dl.O(d1) = 254819237 Dl.O(d2) = 10943707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15478789, s2 = 11830277, dlinesl.size( ) = 2 s1 = 15478789, s2 = 11830277, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15478789, Dl.E( ) = 94, 4.79e-05 seconds used appending s1 = 15065208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15065208, s2 = 11657659, int(edited[s2]) = 0 s1 = 15065208, s2 = 11657659, d1 = 33, d2 = 26 Dl.O(d1) = 59723805,48339306,38435638,29876732,22896713,22896714,30295294,30691322,39288547,34187055,34187054,33167149,33167150,30593332,29905352,29905353,31434593,30595907,23176971,16912435,11836078,11836077,16912432,21254764,255173668,256014186,43913446,257288593,256516592,22965847,22965846,30367360,38953545,31331624,23944403,23944404,23598917,23598918,31082799,31706687,31433351,31433352,38793812,31431596,23940463,17596253,12420319,8394690,8394692,12420324,17596264,23839938,17598247,17598246,23942907,28921953,23938250,17595221,17595220,23938590,17596085,12422060,8395664,8336054,5380226,5380228,8336063,8336015,5380209,5380210,8336020,8395988,5417973,5417972,8395984,11905840,7963323,7963325,7963319,7963318,11905829,12418990,8393919,8393920,5417418,3330272,1958588,1118770,627717,348704,191179,191183,348716,627741,1118819,1958699,3330511,5417859,8395750,12422218,17599133,22732184,22732183,17599130,17599129,23943962,31434907,40113607,50129810,50131259,50130861,256042998,31431850,23940747,23940748,31431852,31082828,31082827,39760768,40113602,50133659,269875543,260128919,120948261,120948262,270919440,159400790,159400789,271880366 Dl.O(d2) = 77512634,256274592,52476730,64346957,77512635,91442573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15065208, s2 = 11657659, dlinesl.size( ) = 2 s1 = 15065208, s2 = 11657659, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15065208, Dl.E( ) = 36, 1.12e-05 seconds used appending s1 = 6729046, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3018007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1138514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1138514, s2 = 9326990, int(edited[s2]) = 0 s1 = 1138514, s2 = 9326990, d1 = 0, d2 = 132 Dl.O(d1) = 29179937,256179876,18263004,12959364,8819193,8819192,12959361,15645035,13468137,9210159,9210160,13468128,9210148,9210147,13468126,18251958,12948941,9210140,6029690,6029691,254651783,3772624,3772625,6030505,9211324,6034721,3775275,3775272,6034715,9216581,12959348,255623479,257795991 Dl.O(d2) = 265531744,217349243,273523406,260497716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1138514, s2 = 9326990, dlinesl.size( ) = 102 s1 = 2711171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3021981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2712674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15929629, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2714312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10350700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10350700, s2 = 8449861, int(edited[s2]) = 0 s1 = 10350700, s2 = 8449861, d1 = 34, d2 = 27 Dl.O(d1) = 261472870,92430629,86700145,73096734,73096733,64669796,52754830,42355423,42355424,52754832,64669799,257231208,105976514,257823468 Dl.O(d2) = 99448407,99448408,85506693,85506692,71921205,59182852,47783388,37859387,29290407,21963634,15869832,10999235,10999236,255175936,14368888,9874898,9874903,14368898,20054594,26940547,35021446,26940518,26940519,35021451,44396856,47857495,37937673,37937674,39448162,30843810,23413897,17138334,17138333,23413894,30843805,30845743,37134019,28621721,21384568,21384567,28621717,37134015,37083683,28579286,24808133,18319688,13003904,8853142,8853141,13003902,18319683,23415232,30843689,23413797,22040306,15937767,15937766,22040304,24808229,19287699,19287700,25952028,33760127,42791007,39449399,30845173,23415196,255984259,18319729,13003923,8853157,8853158,13003927,255627645,255865568,33866399,33866398,30530138,30530139,30845928,33866404,29371203,22040244,15937729,11059325,11059324,15937734,17518208,12353402,12353403,17518211,255757172,13491495,18924777,25536410,26902091,254984116,29440710,29440711,38003732,268255780,21644511,21644513,28919767,28919765,30529970,24808195,24808193,32442740,28919801,28919803,255339726,34981736,34981735,255339724,256234108,28918780,21643806,21643805,28918774,28919234,28918445,21643596,21643595,21644466,15611823,15611824,21644468,256342207,46292626,36439513,36439510,46292623,37458739,37458738,47364362,57661170,46316908,36464126,28005508,20841020,20841019,268901493,47364722,38251920,29686719,22334342,16187098,16187097,22334338,29686706,30113390,22732905,22732906,256431907,24184649,24184651,31693200,38689033,30113137,22732728,22732729,16791120,16791121,23034956,30113432,34115167,34115168,30113257,30113256,38689159,39507697,38689044,30113147,30113146,30112766,22732902,17504177,254850239,5382044,256016399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10350700, s2 = 8449861, dlinesl.size( ) = 24 s1 = 10195438, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9672915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3026698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3026698, s2 = 3254789, int(edited[s2]) = 0 s1 = 3026698, s2 = 3254789, d1 = 24, d2 = 55 Dl.O(d1) = 91847207 Dl.O(d2) = 61978797,258915135,102407286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3026698, s2 = 3254789, dlinesl.size( ) = 52 s1 = 6731408, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8131319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8131319, s2 = 6605143, int(edited[s2]) = 0 s1 = 8131319, s2 = 6605143, d1 = 31, d2 = 20 Dl.O(d1) = 23479733,29421885,22091262,22091261,29421881,35038796,38236151,39438699,30834703,23405822,23405821,29132222,28967921,21685979,15646951,10829790,7158649,7158648,10829786,15646942,21685964,22759376,20847015,20847016,255054532,257813455,78041461,91968262,106166200,108745928,95624349,95624350,108745921,94452678,80393246,257292444,54703931,54703929,66963137,80393243,68101154,68101153,80393253,66963143,54703936,54703937,66963146,80393254,94452684,108745927,123014877,123014873,123014874,136845791,123014871,257890772,108745919,94452677,80393244,80393243,81590853,95624354 Dl.O(d2) = 81142201,67676413,256461214,27027737,20135118,20135119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8131319, s2 = 6605143, dlinesl.size( ) = 2 s1 = 8131319, s2 = 6605143, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8131319, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 15604120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15534585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15534585, s2 = 13756412, int(edited[s2]) = 0 s1 = 15534585, s2 = 13756412, d1 = 26, d2 = 10 Dl.O(d1) = 266287692,233290097,232081228,230738693,229232181,227527918,225578914,223338292,220746788,217702927,214056262,209614164,204201247,197714733,190103060,181287117,171249814,160013525,147750344,134619826,120822944,106574729,92276446,78248960,64975191,53000028,42559933,33543549,33543548 Dl.O(d2) = 152237008,139505979,126131332,126131333,139505980,152237009,164123923,174945195,184551499,192940244,200136537,206213398,211238505,215344536,218737087,221600923,224060504,226193754,228051103,229681148,231127592,232424001,266312299,234662669,235636062,235930961,234984037,233943709,232802167,231539432,230130770,228544254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15534585, s2 = 13756412, dlinesl.size( ) = 8 s1 = 6732274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14719991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9421042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9421042, s2 = 11563088, int(edited[s2]) = 0 s1 = 9421042, s2 = 11563088, d1 = 12, d2 = 11 Dl.O(d1) = 19524365,255292307,13838469,19349345,255285609,9407276,6163431,3891614,3891613,6217587,6198490,3930535,2353118,1386472,788533,788535,1386444,1352779,771653,438370,438368,441964,771652,438370,438368,441964,771652,438387,438383,442012,447631,251844,138975,138978,251855,447671,790538,1389690,790278,790281,1389706,2401336,3855326,3855330,3924126,3924129,2424371,1402326,1402323,2424360,4050958,6465403,9844126,14330278,15391463,15391462,21371949,25878624,19219315,13728604,9404545,6161534,6161535,9404548,13728608,19219323,14035981,14035982,13732896,13715859,9394762,6154845,6154843,9394756,13715847,13697022,9380607,6145293,3845347,3845345,6145287,9380593,9677700,14071926,19255071,19255070,25917014,33723612 Dl.O(d2) = 223394451,274441857,230770343,232109753,233316817,274605186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9421042, s2 = 11563088, dlinesl.size( ) = 2 s1 = 9421042, s2 = 11563088, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9421042, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 14922351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14922351, s2 = 4426666, int(edited[s2]) = 0 s1 = 14922351, s2 = 4426666, d1 = 0, d2 = 0 Dl.O(d1) = 38088551,48000311,59388878,72120201,85705435,99653658,99653455,85705167,72119907,59388592,48000050,48000049,59388589,72119904,85705160,99653449,99653483,85705416,85705415,99653642,99653504,99653503,99653510,85705261,72120036,72120035,85705257,85705456,85705457,87135270,255927680,113666825,268940656,85704998,99653320,256929592,99653648,99653649,113666905,113666906,126500878,126500879,257549898,268645122,85705453,85705454,99653577,113666881,99653417,256929610,59388531,59388530,255077792,254524992,47295319,37386123,37386124,47295322,58686102,71419445,84992936,98917922,112905559,99653267,85704949,72119633,59388306,47999977,47999976,59388533,72119708,59388365,47999806,47999805,59388364,72119707,85705031,98917919,84992929,71419441,58686100,58686099,71419440,84992927,72119635,72119636,256387316,84781707,98602278,98602277,98638886,84708556,84708555,98638879,98517825,84781769,84781772,98602283,84677116,72268907,72268906,84708572,84708551,71138738,71138739,64398071,58490865,256323114,47112833,47112841,46945999,46946000,58312492,58429021,71150596,58490903,268918998,47112884,47022645,37134672,28622199,21384906,15401613,10645180,10645181,15401615,21348090,15444967,10678260,10678259,15444964,21440299,21845280,21845281,29153901,37714481,47636943,37714478,29153899,256359553,47636939,47016774,47016773,53232941,53232939,65221456,78510343,258769390,121143785,134954190,148078401,160323817,171528699,181529450,190309275,197890568,204351791,273868854,209741884,264511850,207066444,211968817,210757814,205608645,199383708,192025859,262135628,173687701,162668270,150552728,271288436,123812987,109633286,95390630,256820514,55524235,255794780,35269429,268198844,55524237,67874789,81341583,95390631,109633288,259261456,150552729,162668271,173687702,262135630,174432715,174432716,184085848,192540354,199815924,205965894,211050851,215206348,218629166,221509799,223978553,226117166,265833287,229617075,231071711,232376794,233556865,234629956,235607954,236498806,237312121,238051985,266726438,237396336,236594104,266415564,233684322,266103178,228159845,226310962,224187655,221738688,218884705,215504149,211412894,264183270,193192384,263103556,164516463 Dl.O(d2) = 38088551,48000311,59388878,72120201,85705435,99653658,99653455,85705167,72119907,59388592,48000050,48000049,59388589,72119904,85705160,99653449,99653483,85705416,85705415,99653642,99653504,99653503,99653510,85705261,72120036,72120035,85705257,85705456,85705457,87135270,255927680,113666825,268940656,85704998,99653320,256929592,99653648,99653649,113666905,113666906,126500878,126500879,257549898,268645122,85705453,85705454,99653577,113666881,99653417,256929610,59388531,59388530,255077792,254524992,47295319,37386123,37386124,47295322,58686102,71419445,84992936,98917922,112905559,99653267,85704949,72119633,59388306,47999977,47999976,59388533,72119708,59388365,47999806,47999805,59388364,72119707,85705031,98917919,84992929,71419441,58686100,58686099,71419440,84992927,72119635,72119636,256387316,84781707,98602278,98602277,98638886,84708556,84708555,98638879,98517825,84781769,84781772,98602283,84677116,72268907,72268906,84708572,84708551,71138738,71138739,64398071,58490865,256323114,47112833,47112841,46945999,46946000,58312492,58429021,71150596,58490903,268918998,47112884,47022645,37134672,28622199,21384906,15401613,10645180,10645181,15401615,21348090,15444967,10678260,10678259,15444964,21440299,21845280,21845281,29153901,37714481,47636943,37714478,29153899,256359553,47636939,47016774,47016773,53232941,53232939,65221456,78510343,258769390,121143785,134954190,148078401,160323817,171528699,181529450,190309275,197890568,204351791,273868854,209741884,264511850,207066444,211968817,210757814,205608645,199383708,192025859,262135628,173687701,162668270,150552728,271288436,123812987,109633286,95390630,256820514,55524235,255794780,35269429,268198844,55524237,67874789,81341583,95390631,109633288,259261456,150552729,162668271,173687702,262135630,174432715,174432716,184085848,192540354,199815924,205965894,211050851,215206348,218629166,221509799,223978553,226117166,265833287,229617075,231071711,232376794,233556865,234629956,235607954,236498806,237312121,238051985,266726438,237396336,236594104,266415564,233684322,266103178,228159845,226310962,224187655,221738688,218884705,215504149,211412894,264183270,193192384,263103556,164516463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14922351, s2 = 4426666, dlinesl.size( ) = 2 s1 = 14922351, s2 = 4426666, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14922351, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3040004, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2734497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6742196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6742196, s2 = 5031759, int(edited[s2]) = 0 s1 = 6742196, s2 = 5031759, d1 = 54, d2 = 63 Dl.O(d1) = 257995222 Dl.O(d2) = 208284975,213004804,264204382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6742196, s2 = 5031759, dlinesl.size( ) = 30 s1 = 6734055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6734055, s2 = 15988410, int(edited[s2]) = 0 s1 = 6734055, s2 = 15988410, d1 = 49, d2 = 69 Dl.O(d1) = 257838681 Dl.O(d2) = 16898481,11825882,7903232,5023825,5023824,7903226,8378016,6061614,3792539,3792538,6061611,9255470,10571964,6973178,6973179,10571968,15308488,21269960,17538924,17398768,17398770,13513446,9246466,6055824,6055827,9246476,10700683,10700681,13514090,17577906,12406042,9246452,9246454,12406075,12068795,12068797,15262783,10530764,9248891,8103607,5192158,3168277,3168276,5192156,8103598,12053070,15289929,21254454,254654914,17580383,12408374,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825456,8381501,8381499,12401931,10570943,10570941,7737987,4899316,4899313,7737975,9075100,11619077,7737800,4899212,4899210,7737794,11619065,14558243,10017761,9989789,7737506,4899051,2952626,2467944,1426524,1426525,2467951,4125451,6584426,10017827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6734055, s2 = 15988410, dlinesl.size( ) = 30 s1 = 14140383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140383, s2 = 14056752, int(edited[s2]) = 0 s1 = 14140383, s2 = 14056752, d1 = 25, d2 = 18 Dl.O(d1) = 224848520,226895044,228678484,229497092,227841894,265674798,228678481,226895039,224848517,222490627,264426562,212571416,207774268,201955283,195037524,186952386,177671541,167172366,155539743,155539742,148420724,148420725,160681384,148420723,260819630,107105248,107105249,121403419,135254623,121403420,259607038 Dl.O(d2) = 33010647,257183857,64146035,55689376,44781638,35357543,255760229,20305219,27234753,35357544,44781640,55689380,68087548,68087549,81577409,86213308,72614817,257446862,38571560,30001009,22631580,22631579,30001003,37070293,37070294,46949944,47020030,37132443,37132439,37132440,37132453,37290545,37290546,37260711,37132434,28620390,28620389,37132430,29441656,22108188,15996737,11105147,7364883,4652356,4652357,7364889,11105158,15996762,22108208,22108207,29441686,37132517,28620458,21383581,21383580,28620454,37132513,29441559,22108106,22108107,29441564,38004487,47920131,47920180,47108116,37211405,37211407,38004516,30000996,30000995,28556509,28556510,37057153,34123631,34123630,43211013,47020028,47020029,37290552,28756641,28756642,28728793,21471501,15469142,15469141,16187161,22334455,28405420,29441623,22108161,15996711,15996713,15996749,15996748,15996756,22108215,24704769,29441676,38004551,37211367,37211370,36466214,36466213,37655181,37655182,38004578,37211415,33983738,33983739,38004524,29441688,29441689,33983708,33983709,28728785,28728784,37057167,28556520,21330960,21330959,21497524,21497523,28756898,37057135,41133013,37211411,28756648,21497217,21497218,26143898,26143897,33983727,37260698,37057128,37057129,37290565,37290573,28756672,26143943,19446698,19446699,26143950,24704782,18234006,18234005,24704776,28007388,20842743,20842737,20842739,20842755,26143850,33983677,26143930,26143931,26143913,26143912,33983742,37057138,33983715,26143889,26143879,19446655,19446654,26143876,28756991,28756990,37057173,36466205,28007393,28007395,32319236,32319234,41133009,37290556,37290541,37290540,47198771,37290534,28756629,28756630,37290535,46935494,37290574,28756665,21497228,15490626,10712056,10712057,15490632,15490609,10712046,7076803,7076804,10712052,9551214,9551215,13916027,18233999,12933556,12933555,18233994,17602988,17602987,23948564,26143848,19446629,19446627,26143845,26143936,26143935,23948570,23948571,21497297,15490675,15490676,19446647,15490970,10712291,10712290,15490963,21497199,15490712,15490710,21497354,28756784,28757128,37290794,28756989,28756975,21497608,15490952,15490951,21497307,21497344,15490934,10712269,10712271,10712074,7076816,4455319,4455318,7076812,10712068,13916014,15490767,21497418,18233985,18233983,24704745,21497460,21497378,15490980,13915993,13915994,19446652,26143870,23948584,17603003,12425115,12425114,17602999,21497209,15491002,15490545,15490546,21497161,21497176,21497363,15490720,10712120,10712119,15490716,15491171,21497786,268178314,15491177,21497795,21497309,21497310,21497140,15490988,10712303,7076959,4455397,2676497,2676498,2676505,2676471,1550351,1550352,1550355,2676477,4455351,7076874,7076895,10712187,10712163,7076883,7076884,10712135,10712136,15490579,10712586,10712234,7076913,4455373,4455372,5419139,5419138,4455307,2676455,2676454,4455302,7076778,10712010,15490539,10712477,7077067,4455473,2676547,2676545,4455466,7077056,7077032,7077031,10712438,15491132,15490531,15490533,15490753,10712146,7076986,4455421,2676513,1550369,881401,497336,497335,881397,1550360,2676489,4455367,7076887,10712175,15490811,15490776,15490775,15490731,15490732,21497191,15490925,10712262,7076926,4455378,4455377,7076919,10711976,7076756,4455294,4455295,7076761,10711986,15490525,15491333,15491163,10712454,7077040,4455460,4455461,7077044,4455484,4455485,7077095,10712431,10712432,15491136,15491307,15491344,10712599,7077151,4455517,2676569,1550389,881413,497339,497338,881408,1550381,2676517,2676518,4455428,7077000,10712368,15491061,10712388,10712389,15491081,21497724,21497579,15490913,10712254,10712255,10712392,15490905,15490512,10711971,10711970,10711981,10711980,14450701,9941762,9941761,14450697,15491158,10712452,7077035,7077036,4455492,2676552,2676554,4455500,7077117,10712553,15491279,20809542,20145244,14450655,14450656,10712423,7077022,4455449,2676561,2676560,4455437,2676530,2676531,4455452,7076989,7076995,10712360,10712528,15491249,14541175,14541174,14541179,20266892,20267174,14541356,10712405,7077016,7077014,10712396,14541228,14541229,15490506,20145320,14450716,9941777,6534225,6534224,9941770,14450712,15491150,10712447,10712446,7077079,4455477,4455479,7077085,10712515,15491238,21497870,20145230,14450644,9941735,9941737,14450652,10712418,10712410,10712411,15491085,14541212,10004676,10004677,10712345,10712343,15491045,10712534,10712533,10004669,6574625,6574624,10004663,14541186,20266902,27191151,21497742,21497743,27191260,20266963,14541223,14541222,20145384,14450751,9941797,6534237,4094167,4094166,6534234,9941789,14450739,15491145,15491143,10712489,7077071,7077073,10712493,15491213,21497840,23697235,17375040,17375041,20145226,20145236,20145237,15491118,15491119,21497750,21497754,27191237,20266931,15491042,15491035,15491036,21497692,21471543,20266917,20266916,15490761,15490760,21497408,28756812,27191148,27191149,31828519,35125441,28757088,21497717,20266953,20266952,27038241,20145295,14450694,9941758,6534220,6534218,9941754,14450688,20145273,27038201,21497816,15491192,15491193,21497808,23697286,17375076,12243046,8268304,5335043,5335042,8268301,12243041,17375066,23697274,31187010,27112974,20211720,20211721,27112980,35202928,27112969,27112970,35202932,44581037,47199007,38577279,30006404,22636319,16448238,11460372,11460371,16448236,22636315,30006397,37290957,31186925,23697189,23697190,31186929,24311029,24311028,27038173,20145258,14450665,14450666,20145266,27038183,30006409,30006408,38577286,47198951,37290878,31186958,23697214,17375032,12243027,8268296,8268295,12243017,17375011,23697179,31186907,27113014,20211739,14503521,14503519,20211735,27113005,35202919,35202920,44581023,55427910,59882031,48490492,38577233,30006367,22636290,16448225,16448226,22636297,30006377,38577242,48490507,38577256,30006385,30006384,24311039,17926093,17926092,23697223,24311001,31828492,40525638,44581124,50561949,42003084,42003085,52342051,55427970,55427969,52381418,50562018,47166783,37260933,28728963,28728965,37260911,47166771,50355281,46915279,46915280,40525712,31828559,24311047,24311049,24311059,31828577,40525742,40525760,47167207,47166790,47166791,49182138,39256498,39256500,49182144,49182066,39256426,30660715,23242636,16975150,16975151,23242641,30660720,31638403,31638402,40328049,50355286,46975140,46975141,58344223,65110702,60581741,60581743,58555689,47166726,42037624,37260871,37260872,46975153,58344229,46975146,37260922,28728957,28728956,37260919,40328041,40328040,46915283,46966267,40525700,31828554,31828555,40525702,40525735,50562025,58344179,46975079,37260942,37260941,47166795,58488064,58488065,60581783,58555837,47167138,39256421,31638392,24131194,17767784,12573680,12573681,17767789,24131203,31638412,40328061,46975137,46975135,46963582,46963583,42673994,42673995,37092029,37092030,28728917,28728908,28728910,28586195,28586196,37092016,37092014,46975038,40328122,31638484,31638486,38684709,37085031,28580531,28580533,37085037,37260949,28728971,21471618,21471620,28728975,37092066,28729199,28729200,37261242,47110022,47110016,46974977,37091962,28586076,28586075,37091958,28688546,24131182,17767777,17767776,24131179,31638366,40328022,50355266,40328099,40328098,50355337,53124890,42673998,40328103,31638455,24131254,17767845,268261603,21471605,21471606,268070678,15378527,21355530,28586123,37092037,37091931,37091930,37085017,28580524,28580525,37082582,28578324,28578325,37082585,37261230,37261229,47167136,50354746,40327550,40327549,37213161,28688594,21438174,15443149,15443125,15443127,21438138,21438153,28688567,33644680,28552363,28552364,25336539,25336537,25336577,25336576,33066095,33644689,25841319,19187556,19187543,13703258,13703257,11514555,10696337,7066482,4449145,4449144,7066477,10696325,15469202,21355492,15378501,15378500,21355486,21351053,15375027,10624240,7012006,7012005,10624233,12354990,17520416,23864690,31358646,40038621,32751878,32751877,28688604,21438183,15443152,10676732,7052179,7052178,10676725,15443141,21438165,25841311,25841309,25336548,18756960,18756957,15378548,15378550,21355564,25841336,19187565,13703272,9385544,6148785,6148781,7659568,7066500,7066501,10696360,15469244,21471677,28729058,37261075,47166950,269784261,112783353,126641599,126704179,112852470,106774737,92469083,78432862,78432861,72339977,72339975,72339976,85933624,99888867,260603043,127781979,127781980,260003053,99888870,113907420,127781981,141138918,130065983,116157970,102100964,88114280,88114279,102100963,271398797,88114281,74502973,61721670,50242878,50242877,61721669,257084341,31536498,24033937,268444741,256536869,31536499,31536493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140383, s2 = 14056752, dlinesl.size( ) = 8 s1 = 3044666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3044666, s2 = 6677804, int(edited[s2]) = 0 s1 = 3044666, s2 = 6677804, d1 = 8, d2 = 5 Dl.O(d1) = 92939221,78832650,65501025,53478716,43001870,33946104,26110238,19417944,13892255,13892254 Dl.O(d2) = 3914816,6253617,3915074,3915072,6254102,9530334,9530333,13889215,19413622,26104268,33938557,36565109,42653255,33624728,25823388,19172562,19172560,25823387,33624720,257229747,65090795,78374024,92410895,106716437,120968802,134765728,147885344,155185961,142542451,129165986,115234851,101157360,87159339,73541012,60793782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3044666, s2 = 6677804, dlinesl.size( ) = 2 s1 = 3044666, s2 = 6677804, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3044666, Dl.E( ) = 10, 6.2e-06 seconds used appending s1 = 2736631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15578969, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14104576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15544646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15544646, s2 = 8530774, int(edited[s2]) = 0 s1 = 15544646, s2 = 8530774, d1 = 30, d2 = 25 Dl.O(d1) = 100490431,114514386,128388519,128388521,128388522,141733877,154380989,166125762,155232833,142595069,129223771,115295216,115295217,101216795,87215871,73593736,60844159,49442242,39510772,30902645,23468336,17188102,12085883,12085884,255540493,30902650,39510781,37942361,269334177,256491399,23468337,23468338,30902648,39510777,49442248,60844165,258848441,101216797,115295221,129223774,142595072,155232837,166918708,176132832,165453362,261691044,260564354,271324912,99778701,258720102,72231959,59495974,256364498,38195888,47694553,59092985,71832903,85420574,91321541,258720104,64253151,257781941,42053639 Dl.O(d2) = 260115261,258875967,258875969,260115257,87820474,74216471,61437301,61437302,74216473,87820476,101792967,101792964,87820475,87820476,101792966,115839035,115839042,101792981,101792980,115839040,101792977,87820482,74216478,258875973,260115269,101792982,115839039,101792972,260115263,271390635,87820483,74216478,61437308,61437309,74216479,87820484,101792971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15544646, s2 = 8530774, dlinesl.size( ) = 16 s1 = 14550264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16007401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10200931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10200931, s2 = 7753425, int(edited[s2]) = 0 s1 = 10200931, s2 = 7753425, d1 = 57, d2 = 43 Dl.O(d1) = 19487171,26196604,34051269,43127315,257849491,79029263,93147150,260344545,107554604,93147143 Dl.O(d2) = 274415443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10200931, s2 = 7753425, dlinesl.size( ) = 38 s1 = 15560841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15560841, s2 = 11535894, int(edited[s2]) = 0 s1 = 15560841, s2 = 11535894, d1 = 26, d2 = 64 Dl.O(d1) = 172577334 Dl.O(d2) = 265636230,224721990,222345397,265415957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15560841, s2 = 11535894, dlinesl.size( ) = 2 s1 = 15560841, s2 = 11535894, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15560841, Dl.E( ) = 102, 5.1e-05 seconds used appending s1 = 1354434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15766263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15766263, s2 = 14086971, int(edited[s2]) = 0 s1 = 15766263, s2 = 14086971, d1 = 44, d2 = 52 Dl.O(d1) = 221951713,224375584,226480780,265715391,229923648,266114231,233786895,234839021,235797320,236669962,237465614,266511528,266335914,234839020,235357707,234358553,233260452,232048155,230702424,230702423,232048154,232048150,230702420,229192091,229192092,230702421,232048151,232048129,230702394,229192067,227483320,264768552,220683419,217627928,217627927,220683417,223282495,264998704,229192060,227483323,227483324,229192074,230702401,230702377,229192055,227483310,225529041,264998702,229192052,230702372,230702408,265207610,225529055,274196330,265396928,232048141,230702410,229192082,265396928,274467600,230702415,230702416,230702419,232048148,265726272,230702396,229192068,229192069,274411666,233260433,234358544,233260457 Dl.O(d2) = 79121460,258411252,122016629,135944869,135944866,135944867,271994726,168990107,157526857,145092302,131833465,131833466,259808142,118006274,118006275,103861846,89758366,75979707,75979709,75979646,62997034,62997033,51318129,41134662,32320986,32320987,41134663,32321078,32321077,36931644,46809952,41134655,32320980,24706508,24706507,32320978,41134650,51318114,51318167,41134696,255342964,51318141,51318143,51318122,41134657,32320982,26917160,26917161,26901082,26901083,34980589,41134743,32321032,32321031,41134740,51318230,62997161,75979666,89758344,84645831,71083631,58367505,58367510,71083633,257932492,62997168,75979654,77731085,64548830,64548829,77731083,75979668,62997070,51318139,41134668,32320990,32320989,41134666,256765206,41134718,41134719,51318206,62997145,55208642,44358090,34980593,34980592,255342968,62997101,62997100,75979695,89758360,81039664,67570779,55227709,44376967,256942436,67570775,67797473,55455534,44606943,35226052,35226053,44606945,55455540,67797479,257921642,108646711,94358694,80302163,80302162,94358692,107011311,94358713,94358689,94358687,80302208,80302207,94358691,81265511,81265512,81036569,67567967,67567965,55454594,255754582,44606865,255337718,27132066,35225105,27131965,27131964,27132049,20226467,14514236,9987300,9987301,14514237,20226469,27132052,35225982,44606847,47238800,37329041,37329040,35226023,35226022,44606893,48933253,48933313,48933314,60331105,73071633,81265464,75450448,62527866,50924172,40804690,40804691,44607066,39009843,39009842,48933323,60331112,72567809,72567806,70685437,57967492,46591177,36704364,36704283,36704282,31754406,24242628,24242627,31754404,36704262,36704261,46591087,57967396,46591108,46591109,57967366,70442066,57746877,57746876,57967438,255269484,42322052,255269482,36704195,28213074,21019522,21019521,28213071,36704192,46591015,57967385,70685363,58440499,47064768,37172664,28654942,28654941,37172662,47064766,256003024,49872062,49872070,39849782,39849781,47197645,47197646,48666953,48666954,38745220,30162025,22773137,22773136,30162023,38745216,44434605,38745168,38745169,48666907,60063382,60231698,48837333,38916764,38916763,41905849,32966512,32966513,268485845,18674504,268291131,13283428,13283429,18676176,25246863,32969108,41908496,41908495,37294554,28760731,28760732,37294555,47202573,58593678,71326898,84628853,71065491,58349230,46979848,257437237,58349228,256855724,28589784,28589783,28589782,21358473,15380764,10628854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15766263, s2 = 14086971, dlinesl.size( ) = 2 s1 = 15766263, s2 = 14086971, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15766263, Dl.E( ) = 56, 1.72e-05 seconds used appending s1 = 1165085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8331627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8331627, s2 = 14077530, int(edited[s2]) = 0 s1 = 8331627, s2 = 14077530, d1 = 33, d2 = 30 Dl.O(d1) = 93389609,79263168,79263167 Dl.O(d2) = 20868539,14966361,10298721,10298720,14966359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8331627, s2 = 14077530, dlinesl.size( ) = 32 s1 = 2745569, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2746940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2746940, s2 = 3785814, int(edited[s2]) = 0 s1 = 2746940, s2 = 3785814, d1 = 6, d2 = 21 Dl.O(d1) = 79313505 Dl.O(d2) = 133097292,260619134,170049978,180213388,189151611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2746940, s2 = 3785814, dlinesl.size( ) = 2 s1 = 2746940, s2 = 3785814, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2746940, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 8354954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2748244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9335432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9335432, s2 = 2654090, int(edited[s2]) = 0 s1 = 9335432, s2 = 2654090, d1 = 7, d2 = 30 Dl.O(d1) = 53492240 Dl.O(d2) = 116557569,102458311,88454459,74821001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9335432, s2 = 2654090, dlinesl.size( ) = 2 s1 = 9335432, s2 = 2654090, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9335432, Dl.E( ) = 42, 1.22e-05 seconds used appending s1 = 13539415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8281732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8281732, s2 = 1853013, int(edited[s2]) = 0 s1 = 8281732, s2 = 1853013, d1 = 71, d2 = 51 Dl.O(d1) = 117543873,117543874,117543878,117543877,260408110,94340442,80284459,80284458 Dl.O(d2) = 48197566,59067878,47667948,37745981,29184923,21873717,21873718,29184925,37745984,37251366,31337970,23845617,23845618,31337972,40016886,44827419,55735095,59819428,48433490,38525595,29960170,29960169,38525593,269349389,72554665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8281732, s2 = 1853013, dlinesl.size( ) = 30 s1 = 11231250, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15509863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15509863, s2 = 14242953, int(edited[s2]) = 0 s1 = 15509863, s2 = 14242953, d1 = 1, d2 = 1 Dl.O(d1) = 256728579,54703026,66962277,74079209,66962762,66962763,54710864,54710865,66969990,71537881,80392927,66962790,54703545,54703546,52844302,42439636,42439634,47421548,37513888,37513889,47421553,58808794,66938270,54703003,43959000,34683916,256728577,257890685,80392540,257283458,49094837,39164851,31292641,23806933,17473854,17473853,23806932,18351247,13028309,8871541,5784084,5784085,8871544,13028313,256012513,23806489,17918677,12695542,8624858,5607863,5607862,254878523,17918666,24301992,25483015,28849711,28849712,37389629,31292262,30671474,30671475,39267611,49193854,59572235,59572234,72306198,85898884,77250991,77250990,78867612,78867611,92979681,100441150,101203782,87202988,85984539,85984538,98613234,84688644,84688643,71124353,58406516,48339217,256617146,47034244,49193873,39267629,30671488,23255580,16992261,11906645,11906646,16992264,23255584,30671494,39267636,49193876,257437878,33347246,25587127,18978391,13542282,9270713,9270714,13542284,18978396,25587135,18978414,13542292,13542291,255673913,33347287,42328676,52715799,64616029,77798556,87203002,258224345,49428881,49428880,60831027,73580712,270881899,115282186,129210730,142582250,155220017,142582247,142582248,259482186,119997839,133862829,129067497,115138882,101063910,99441911,99441910,99441914,113444183,113444184,101063908,101063909,115138881,260862649,105533975,119767234,261430747,159260647,164458930,152604593,139896398,126533079,259925383,84748074,71179334 Dl.O(d2) = 256728579,54703026,66962277,74079209,66962762,66962763,54710864,54710865,66969990,71537881,80392927,66962790,54703545,54703546,52844302,42439636,42439634,47421548,37513888,37513889,47421553,58808794,66938270,54703003,43959000,34683916,256728577,257890685,80392540,257283458,49094837,39164851,31292641,23806933,17473854,17473853,23806932,18351247,13028309,8871541,5784084,5784085,8871544,13028313,256012513,23806489,17918677,12695542,8624858,5607863,5607862,254878523,17918666,24301992,25483015,28849711,28849712,37389629,31292262,30671474,30671475,39267611,49193854,59572235,59572234,72306198,85898884,77250991,77250990,78867612,78867611,92979681,100441150,101203782,87202988,85984539,85984538,98613234,84688644,84688643,71124353,58406516,48339217,256617146,47034244,49193873,39267629,30671488,23255580,16992261,11906645,11906646,16992264,23255584,30671494,39267636,49193876,257437878,33347246,25587127,18978391,13542282,9270713,9270714,13542284,18978396,25587135,18978414,13542292,13542291,255673913,33347287,42328676,52715799,64616029,77798556,87203002,258224345,49428881,49428880,60831027,73580712,270881899,115282186,129210730,142582250,155220017,142582247,142582248,259482186,119997839,133862829,129067497,115138882,101063910,99441911,99441910,99441914,113444183,113444184,101063908,101063909,115138881,260862649,105533975,119767234,261430747,159260647,164458930,152604593,139896398,126533079,259925383,84748074,71179334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15509863, s2 = 14242953, dlinesl.size( ) = 2 s1 = 15509863, s2 = 14242953, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15509863, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15690550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15690550, s2 = 2996587, int(edited[s2]) = 0 s1 = 15690550, s2 = 2996587, d1 = 95, d2 = 0 Dl.O(d1) = 229158606,229158607,230672298,232021035,233235568,233281650,232237701,232237702,233429788,233429803,232237708,232237707,233429798,234335081,233235584,232021044,232021043,233235577,234335073,234335093,235336021,236248089,235373472,234377225,233281637,232070993,232070994,233281642,234335086,235336014,236248040,237080064,236281672,236281667,235373479,234377230,233281645,233281644,233235588,232021049,230672303,229158609,227444980,227444981,229158610,230672305,266178219,230727033,229218745,265648034,265483906,220719576,217668196,214011741,209557399,204128173,197620751,263361645 Dl.O(d2) = 90750352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15690550, s2 = 2996587, dlinesl.size( ) = 10 s1 = 3345909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2077681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15076561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3067005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3067005, s2 = 2903586, int(edited[s2]) = 0 s1 = 3067005, s2 = 2903586, d1 = 85, d2 = 31 Dl.O(d1) = 95104468,81047000,67579154,67579155,81047003,256654724,74350359,61573514,50093696,40072730,40072731,50093698,55237047,64612578,52712224,42325117,33344139,25584500,18976204,13540530,13540531,18976205,25584502,25584455,18976177,13540517,13540515,18976172,25584446,33344075,42325053,52712172,64612522,77795169,91723128,105930756,120142858,133984364,147206981,159566045,170893865 Dl.O(d2) = 86549718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3067005, s2 = 2903586, dlinesl.size( ) = 2 s1 = 3067005, s2 = 2903586, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3067005, Dl.E( ) = 86, 3.79e-05 seconds used appending s1 = 9111550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6739400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9709708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9709708, s2 = 10349646, int(edited[s2]) = 0 s1 = 9709708, s2 = 10349646, d1 = 7, d2 = 7 Dl.O(d1) = 20041207,14356348,14356349,14356277,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131977,12092328,15756177,17515822,15756933,10912368,10912369,15756935,17044090,17044091,12938673,12938672,8802386,8802387,12938683,18240530,24331731,254470580,254972150,26930909,20045130,14359876,9867227,254468799,2430934,2430933,254214432,9867226,14359875,20045123,23931725,17589480,17589481,21777065,15717814,10880928,10880926,9868149,6482367,6482370,6485712,4064065,2432136,2432134,4063986,4063990,6485587,6494196,6494195,9884145,14355904,14355905,9864207,9864209,14355915,16095844,16095842,22230211,29577760,38144035,48057275,59448726,72186855,85781035,91721137,77793267,255673720,42323019,38859842,38859843,48780129,42323049,33342167,33342166,42323046,52710154,49469184,49469185,254301510,65948274,79312409,70301480,70301479,256138594,64610525,77793268,91721138,257802162,133982404,147205129,159564319,170892328,181010850,261984432,197541849,204058894,209496114,210763359,205614905,199390681,263495454,262653638,162691079,150588640,137588052,123906628,109769223,95568751,269779404,68051165,81538012,95568752,109769225,123906631,123906630,123906629,137588053,150445947,137406889,123676186,109484707,95231126,81175222,257915529,257315920,256224726,254979278,31721686,254317170,8579506,8579505,12636139,8579744,5574587,5574585,8579674,8579672,12636391,17844366,22888250,22888251,30286064,38019668,37854241,29286009,21960254,15867476,10997728,7280212,4591374,4591372,7280205,10997712,15867438,21960193,23577703,23577704,22782349,17117677,12029183,8087089,8087090,12029185,17117679,23389517,22164084,16042029,11138900,11138899,16042024,22164080,17120477,12031184,12031182,14904200,18330289,18330287,24821780,22612926,16428505,11443729,7610015,7610016,11443734,16400135,11416538,7587362,7587361,11416533,14207535,19654992,19654991,17118290,16565274,11626945,11626943,16565414,11547242,11547244,7682477,7682478,9692776,6375193,6375191,9692769,12033501,16564768,11614454,10454623,10454624,14094028,9693804,9693805,14094031,12557607,8513924,8513925,9693841,6375776,4000390,2397359,2397357,4000386,6375769,9693834,14094098,19662518,26396644,26254971,19536797,13988944,13988946,19536809,20321143,14583440,14583441,20321145,27254312,25803730,19157039,13679453,9367755,9367754,13679450,19157036,25803724,33600876,42625411,47784238,47784239,46578413,36692051,36692050,268169164,25127671,26672324,19855437,19855438,23792821,17461079,17461078,23792820,31278663,39953582,32152414,24568936,18128365,12854535,12854533,18128208,12854444,12854443,18128224,20316326,20316324,26281095,28222832,24569346,18128679,18128676,21402804,15415798,15415795,16270730,16201795,11262704,11262703,16201812,22352969,29708154,38274871,269811247 Dl.O(d2) = 20041207,14356348,14356349,14356277,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131977,12092328,15756177,17515822,15756933,10912368,10912369,15756935,17044090,17044091,12938673,12938672,8802386,8802387,12938683,18240530,24331731,254470580,254972150,26930909,20045130,14359876,9867227,254468799,2430934,2430933,254214432,9867226,14359875,20045123,23931725,17589480,17589481,21777065,15717814,10880928,10880926,9868149,6482367,6482370,6485712,4064065,2432136,2432134,4063986,4063990,6485587,6494196,6494195,9884145,14355904,14355905,9864207,9864209,14355915,16095844,16095842,22230211,29577760,38144035,48057275,59448726,72186855,85781035,91721137,77793267,255673720,42323019,38859842,38859843,48780129,42323049,33342167,33342166,42323046,52710154,49469184,49469185,254301510,65948274,79312409,70301480,70301479,256138594,64610525,77793268,91721138,257802162,133982404,147205129,159564319,170892328,181010850,261984432,197541849,204058894,209496114,210763359,205614905,199390681,263495454,262653638,162691079,150588640,137588052,123906628,109769223,95568751,269779404,68051165,81538012,95568752,109769225,123906631,123906630,123906629,137588053,150445947,137406889,123676186,109484707,95231126,81175222,257915529,257315920,256224726,254979278,31721686,254317170,8579506,8579505,12636139,8579744,5574587,5574585,8579674,8579672,12636391,17844366,22888250,22888251,30286064,38019668,37854241,29286009,21960254,15867476,10997728,7280212,4591374,4591372,7280205,10997712,15867438,21960193,23577703,23577704,22782349,17117677,12029183,8087089,8087090,12029185,17117679,23389517,22164084,16042029,11138900,11138899,16042024,22164080,17120477,12031184,12031182,14904200,18330289,18330287,24821780,22612926,16428505,11443729,7610015,7610016,11443734,16400135,11416538,7587362,7587361,11416533,14207535,19654992,19654991,17118290,16565274,11626945,11626943,16565414,11547242,11547244,7682477,7682478,9692776,6375193,6375191,9692769,12033501,16564768,11614454,10454623,10454624,14094028,9693804,9693805,14094031,12557607,8513924,8513925,9693841,6375776,4000390,2397359,2397357,4000386,6375769,9693834,14094098,19662518,26396644,26254971,19536797,13988944,13988946,19536809,20321143,14583440,14583441,20321145,27254312,25803730,19157039,13679453,9367755,9367754,13679450,19157036,25803724,33600876,42625411,47784238,47784239,46578413,36692051,36692050,268169164,25127671,26672324,19855437,19855438,23792821,17461079,17461078,23792820,31278663,39953582,32152414,24568936,18128365,12854535,12854533,18128208,12854444,12854443,18128224,20316326,20316324,26281095,28222832,24569346,18128679,18128676,21402804,15415798,15415795,16270730,16201795,11262704,11262703,16201812,22352969,29708154,38274871,269811247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9709708, s2 = 10349646, dlinesl.size( ) = 2 s1 = 9709708, s2 = 10349646, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9709708, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6867422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 337041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 337041, s2 = 9683716, int(edited[s2]) = 0 s1 = 337041, s2 = 9683716, d1 = 43, d2 = 82 Dl.O(d1) = 8472084,8472083,12506476,17684128,257667663,258898883 Dl.O(d2) = 4401306,4401307,7002688,255030717,15360520,21333513,254459402,31530064,24027870,254210324,8467988,8467987,12500860,17677254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 337041, s2 = 9683716, dlinesl.size( ) = 18 s1 = 15159325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16237891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2773851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14555505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8283333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6741300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6741300, s2 = 7191914, int(edited[s2]) = 0 s1 = 6741300, s2 = 7191914, d1 = 32, d2 = 25 Dl.O(d1) = 257935123,81631630 Dl.O(d2) = 263812948,183953710,174291237,174291236,263462685,192420773,263825493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6741300, s2 = 7191914, dlinesl.size( ) = 2 s1 = 6741300, s2 = 7191914, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6741300, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 2780068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15912341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15912341, s2 = 6633640, int(edited[s2]) = 0 s1 = 15912341, s2 = 6633640, d1 = 36, d2 = 22 Dl.O(d1) = 255869982,31716083,40408278,49996412,39979881,255869980,256013689,39979880,40408175,39979885,31304820,23817777,17482760,12326678,8326988,8326992,12326690,12326697,12326698,12631946,17838280,12631975,8576833,5572708,3456856,3456855,5572705,8576825,12631964,17838318,23197488,23197489,29134940,29134941,29653609,22301953,22301954,29653616,22422701,22301963,16156385,11302704,11302703,16257019,22422733,26040974,33862761,42908140,44500819,35122961,28372992,28372991,36869872,31247546,23763199,17435520,12289577,12289578,17435525,23763208,17498626,12338298,12338299,17498628,23838515,31329982,256808262,38061879,29499130,22160416,16039222,12323346,12323347,17478680,23812598,19307692,13805354,9467108,6207508,3885323,2326497,1348569,1348570,2326503,3885336,6207533,6142811,3843600,2303043,2303045,3843610,6142826,9377072,13692185,19174024,19307718,19307717,25975088,255848852,17806868,17806870,24174724,25825332,25825331,25974990,25974991,33627212,33627213,31682935,31682934,24174747,17806885,17806884,19307652,17478666,17478668,23812585,29169203,37729482,40525574,40525575,50279508,40258587,256360810,24065681,31571260,268216352,50410815,42818321,33785618,25975000,25974999,33785616,42780823,40258583,31571257,29291317,21964370,21964371,29291319,256914259,55477645,44627865,256231831,14521746,9992175,6567131,4113977,254474767,9992179,9994039,255338717,268552611,44627871,35244211,256757543,257461729,59185001,47785179,47785180,50129126,257552132,44627867,51025069,59184561,256914277,29291525,29291526,256914279,57982637,65197069,53211405,42761643,33731753,25924789,25924788,28307615,21097870,21097869,28307614,36804524,46605724,256598160,47332703,49149228,39222584,30624836,28307135,28307134,22354177,16202793,11263417,7477329,7477328,11263414,16202785,22354171,29709459,38276245,256336218,30029892,30624835,26670905,256203549,39222582,268209974,16932695,254504290,7920657,11850900,16932699,23202487,30624848,39222595,48185673,40108379,40108380,256336220,39222585,49149229,257457618,50129128,40108386,31428469,31428468,32722154,41628469,256292404,39222592,46711405,36828978,255013608,58082897,58633512,47240150,38344903,38344902,48185635,255516054,49059348,255131606,63741883,51931615,41628473,41628472,51931617,59571645,48185671,256411499,29819674,38392060,48302382,49149235,59641768,48255178,256336190,16246506,16246505,22410075,22452208,256411497,48302379,59689061,59689062,60462970,49059350,49059351,59571617,48185641,48185642,256461958,59571596,269098464,72305579,257006356,51933726,41630701,32724348,32724347,41630697,48255176,257530085,256953849,38392061,48302383,59689070,72424398,86021549,269365994,55444224,55444225,58182953,46816103,36937763,36937765,46816107,58182960,58182999,258013519,57845797,57845793,46489838,36623565,28150232,28150233,28438304,21213066,21213065,28438300,36937775,46816127,47111292,58489041,269773766,64257170,269075017,42058020,52401923,57984421,70701877,60338592,48941131,39017909,30428763,23023276,23023273,30428761,39017907,46816138,46816137,36937786,28438311,21213072,21213073,28438314,36937789,46816140,256828063,28209660,28209661,28209665,36700640,36700639,46587394,42673228,33643997,33643998,41423813,32563759,32563758,257157553,257617135,70701880,72177164,270320575,99725492,258203942,60346457,60346456,63409567,53124124,42673230,42673231,52401924,42673217,39027436,39027437,257581273,73085818,72177135,59438581,48046626,38133208,38133207,48046624,59438579,59438573,59438574,59438612,48046658,48046657,39027456,30437914,23031240,16788521,11738830,7837541,7837542,255128325,23031249,30437928,27120911,27120912,35213277,44593983,55444214,258483675,53938566,53938567,43411596,34310246,34310247,43411599,43411623,43411622,38133183,38133182,43411608,44594003,35213301,35213300,44594000,48046607,38133197,29567201,22221046,16088724,16088725,22221048,29567204,29567207,29567208,26432301,26432302,34310235,26432279,256190807,19694373,19694376,26432321,19694247,14120893,14120892,19694244,26432315,34310276,43411626,48949956,39027478,30437941,255138226,16788527,23031258,30437939,268427764,39027493,39027494,48130377,48130344,48130343,47613838,37688683,29126639,29126640,37688685,34310355,34310354,43411678,256268614,39027480,39027481,48949958,46789463,36911848,36911849,255969828,23031259,16788528,16788529,23031262,23031317,23031318,30438016,38226908,30437998,30437997,39027538,48950008,39027533,30437993,23031300,16788554,16788553,23031298,30437990,31806758,24292018,17910207,12688691,8619417,8619418,12688694,17910212,24292025,31806772,36024463,27692954,27692955,36024464,45717668,56906112,69502539,83030401,82060188,68536259,56295997,56295996,258574235,96330367,271697847,261458659,138316373,138316372,138527993,261585659,261545784,96827058,105972849,91777420,77853991,64664426,269784720,52751111,52751112,64664967,67941910,69889953,62865545,51214742,51214739,56779635,256787011,27650087,256787013,258588897,260967170,55913365,55913364,68208008,56417362,45807757,36089076,35843239,27575051,20741831,14868248,14868245,14617022,10057271,10057269,6679458,6679462,6664163,6664160,6611578,4182693,2501048,2501052,1443790,1443785,2502817,4184900,6643105,10117169,10175135,10175133,14794192,20629668,27705209,36042271,45741947,257298126,27710260,36050216,36029321,27696350,20623562,14790028,14790033,20623525,27695904,35851079,256782999,257960167,82667590,96644141,110729760,118036997,103894658,89793316,89793315,103894657,118036996,113540376,99529023,85582065,71995316,257329530,99529022,113540372 Dl.O(d2) = 256762448,37943920,255584440,15944965,11064794,11064793,15944963,22048057,15962148,15962149,22066909,29397317,256174560,47657884,37736579,29175820,254891654,10941344,10941343,15792185,21865446,21865293,21865294,29175593,37736251,29176012,29176013,31134108,23646348,17329491,17329493,23646352,256504997,23884197,17655703,12485036,10794239,7131590,7131591,10794242,8455283,5462635,3358787,3358788,5462638,8455287,8456062,7491467,4735015,2853369,2853367,4735010,5289663,5289662,254583915,5463522,8456090,12485094,17655771,23999975,22564150,16384396,16384395,17340394,23657227,19644980,19644979,26378881,26378883,34256388,37893194,31497413,23999955,17655746,12485076,8456078,8456076,12485072,17655736,23999938,31497396,257081321,258273413,258847906,16615638,11589468,7714436,7714424,7714425,11589448,16615606,17655751,17655750,23999963,31497427,40182164,48731633,38811391,38811392,33129216,33129215,26378143,255306849,14080009,14080010,19644336,26378141,34255497,40043418,31363181,28909207,23170225,16906816,11831709,11831708,16906814,23170221,23170218,23170219,30588425,31788447,31788448,40483472,49850216,50493977,50493978,257141838,23170178,16906789,16906790,23170181,30588372,28225550,21029517,21029518,28225556,36718955,46607147,47267654,47267655,49114761,52416589,42072799,42072798,52416586,47267640,37357662,28817985,21548833,15530629,15530628,10741148,10741147,15530631,21548839,28817995,34047220,34047219,34047224,43122799,46607084,36719370,28225881,255375927,10418150,10418153,15104834,21029753,28225599,36719013,28225857,21029719,15104817,15104816,21029718,28225855,24028816,17678331,12501852,8468734,5474118,5474117,8468727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15912341, s2 = 6633640, dlinesl.size( ) = 30 s1 = 13362141, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2783226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2783226, s2 = 3573413, int(edited[s2]) = 0 s1 = 2783226, s2 = 3573413, d1 = 20, d2 = 53 Dl.O(d1) = 83840096 Dl.O(d2) = 78483853,271080741,106580756,106580755,120828537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2783226, s2 = 3573413, dlinesl.size( ) = 2 s1 = 2783226, s2 = 3573413, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2783226, Dl.E( ) = 64, 2.22e-05 seconds used appending s1 = 6897461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6897461, s2 = 15064674, int(edited[s2]) = 0 s1 = 6897461, s2 = 15064674, d1 = 45, d2 = 80 Dl.O(d1) = 259864013 Dl.O(d2) = 104652414,104652415,259616614,85773780,85773779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6897461, s2 = 15064674, dlinesl.size( ) = 2 s1 = 6897461, s2 = 15064674, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6897461, Dl.E( ) = 124, 3.6e-05 seconds used appending s1 = 8284193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3088955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3088955, s2 = 11205283, int(edited[s2]) = 0 s1 = 3088955, s2 = 11205283, d1 = 7, d2 = 8 Dl.O(d1) = 97725816 Dl.O(d2) = 268902343,83918064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3088955, s2 = 11205283, dlinesl.size( ) = 14 s1 = 6742269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6742269, s2 = 8104675, int(edited[s2]) = 0 s1 = 6742269, s2 = 8104675, d1 = 23, d2 = 17 Dl.O(d1) = 257995771,83867169,258531010,44579063,35200937,27111129,27111130,24761012,24761013,32380955,35089931,38195431,29628386,255683952,48106974,42450849,33457682,25685736,19062055,13608194,13608192,9318147,6103909,3819182,3819184,6103916,268028787,19062132,25685828 Dl.O(d2) = 33457790,33457791,260294981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6742269, s2 = 8104675, dlinesl.size( ) = 12 s1 = 15563985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15563985, s2 = 7575690, int(edited[s2]) = 0 s1 = 15563985, s2 = 7575690, d1 = 6, d2 = 66 Dl.O(d1) = 8198669 Dl.O(d2) = 268304072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15563985, s2 = 7575690, dlinesl.size( ) = 20 s1 = 2785812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8357257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7608238, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3094966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3094966, s2 = 16220189, int(edited[s2]) = 0 s1 = 3094966, s2 = 16220189, d1 = 24, d2 = 44 Dl.O(d1) = 97878285 Dl.O(d2) = 170743981,159395617,147013608,133763377,119892068,257157366,77494348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3094966, s2 = 16220189, dlinesl.size( ) = 28 s1 = 16064640, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15220622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15220622, s2 = 4580598, int(edited[s2]) = 0 s1 = 15220622, s2 = 4580598, d1 = 6, d2 = 9 Dl.O(d1) = 91193240,77273494,64125946,52276707,41937804,32996880,25272545,254874446,13307264,13307265,15012273,15012272,255792209,28092875 Dl.O(d2) = 97885088,97885087,97885086,111817358,125631568,138969746,151674639,163555714,174398704,184054120,192510803,199789033,264021808,186435161,177080581,166499578,154793373,142159415,128804890,114907737,100857165,258969824,60519102,49117484,256592840,30591618,30591904,35232900,44614420,36638611,28163550,28163552,36638614,40112801,31433908,23942839,17598170,12421556,12421555,17598168,23942836,31433905,40112798,50132912,61613763,74391275,87995222,271862611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15220622, s2 = 4580598, dlinesl.size( ) = 2 s1 = 15220622, s2 = 4580598, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15220622, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 16307242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16307242, s2 = 15645980, int(edited[s2]) = 0 s1 = 16307242, s2 = 15645980, d1 = 90, d2 = 84 Dl.O(d1) = 50029077,40010430,31332203 Dl.O(d2) = 265835919,226167156,224031182,221567368,218695008,215285596,211150622,273973489,199975779,192735905,184317029,174694537,163876729,152008421,139301461,125952429,112118972,98159819,258645235,70715099,70715100,57998853,46622814,46622813,57998850,70715096,70715098,57998851,57998850,57998854,258020729,57998847,57998846,57998847,46622811,46622812,57998849,57998855,256831265,28239703,21041011,15113341,10424613,10424612,15113340,21041010,28239701,36734624,36734628,46622816,57715942,255117914,36508284,30708558,23292157,17032380,17032379,21229818,21229819,28456243,36956679,46834958,38375319,29803535,22437582,16270282,16270283,22437587,29803251,24432523,18019169,12771230,11313239,7511769,7511768,254163112,22437230,16270016,16270015,254552168,24432434,31987528,40736413,267982038,63231601,63231600,76246470,90054855,104184061,104184060,256988000,132155587,145384693,139640797,126270321,260041556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16307242, s2 = 15645980, dlinesl.size( ) = 14 s1 = 8254952, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3093423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3093423, s2 = 11120035, int(edited[s2]) = 0 s1 = 3093423, s2 = 11120035, d1 = 13, d2 = 65 Dl.O(d1) = 97822645,97822650,97822651,259539660,84054048 Dl.O(d2) = 60471204,49067753,39137465,39137463,49067749,60471201,73217866,86830697,86830689,73217855,60471191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3093423, s2 = 11120035, dlinesl.size( ) = 24 s1 = 6689552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2795519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2795519, s2 = 8819209, int(edited[s2]) = 0 s1 = 2795519, s2 = 8819209, d1 = 9, d2 = 5 Dl.O(d1) = 84090016,97963699,111901149,125718602,139057535,151759463,163634653 Dl.O(d2) = 184119902,192570922,199842987,205989946,205989947,211071780,215225350,218646812,218646811,218646863,264710553,205989945,199842984,199842985,205989947,211071780,215225350,218646812,218646811,218646863,264710553,205989945,199842984,192570921,192570922,199842986,205989949,211071781,215225351,218646877,265352681,223996228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2795519, s2 = 8819209, dlinesl.size( ) = 2 s1 = 2795519, s2 = 8819209, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2795519, Dl.E( ) = 10, 7.87e-06 seconds used appending s1 = 10354647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15006188, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2720643, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8302835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3102111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10149871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10149871, s2 = 8313188, int(edited[s2]) = 0 s1 = 10149871, s2 = 8313188, d1 = 13, d2 = 17 Dl.O(d1) = 23276258,23276259,255139268,23337948,17071717,11983200,8049234,8049235,11996786,16976725,11923325,11923324,17009384,17798765,17798763,23342764,23268381,23268382,30685191,23364838,23364839,30790794,30687304,23270660,17094828,12008021,8064957,5158503,5158501,5116381,5116379,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,8046083,11994319,16956322,254087936,23256415,23256416,23333835,267794470,23251942,23251941,23334862,23334863,30687431,254377890,17102910,23361909,23332414,23332413,267794758 Dl.O(d2) = 31903001,40616279,50672473,62189354,70737422,84289103,98184922,112147303,258208028,91664767,91664769,85217105,71651360,71651359,85217103,258766386,71651370,71651368,60646322,49245648,49245650,59333315,72067686,85655082,87013136,87013135,101006684,115077750,129004526,115951345,101905772,101905773,113620137,99605080,99605082,258766362,87932438,87932437,101905763,115077745,101006675,101006673,114048754,114048755,256410912,88320054,77978129,64784068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10149871, s2 = 8313188, dlinesl.size( ) = 2 s1 = 10149871, s2 = 8313188, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10149871, Dl.E( ) = 18, 2.5e-05 seconds used appending s1 = 3106737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3106737, s2 = 9598476, int(edited[s2]) = 0 s1 = 3106737, s2 = 9598476, d1 = 51, d2 = 136 Dl.O(d1) = 98282475 Dl.O(d2) = 218042246,218734086,215341067,211234533,206208704,200130558,192932966,263079673,152227937,139497238,126122959,112264210,98282476,84372995,70813905,70813904,84372993,98282473,112264204,126122957,139497235,149360513,136108413,122144545,107737975,93312981,93312980 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14897177, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14990111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14990111, s2 = 6822249, int(edited[s2]) = 0 s1 = 14990111, s2 = 6822249, d1 = 100, d2 = 81 Dl.O(d1) = 256024804,39815275 Dl.O(d2) = 64212299,77359521,89308566,75553239,259573633,117522397,115788661,101743054,87770124,74165536,61384951,49904414,39883453,31203615,31203613,31203612,39883450,49904411,61384946,258871257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14990111, s2 = 6822249, dlinesl.size( ) = 26 s1 = 15098063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15367873, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14552481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14552481, s2 = 8077858, int(edited[s2]) = 0 s1 = 14552481, s2 = 8077858, d1 = 4, d2 = 7 Dl.O(d1) = 258152930 Dl.O(d2) = 256963274,46790224,46790225,58157602,50605891,256953602,256411458,29819293,22451754,255914501,257237204,11323222,11323221,11319248,11319247,16278181,11319239,7515943,7515944,5258413,3214183,3214184,4751616,2863729,2863730,4751621,7288249,4596041,4596040,7288245,11009726,11320625,11320626,16278162,22447844,16279779,16279780,11321792,11321794,11320670,7519591,4754002,2865185,1662963,1662962,2865181,4751654,7516510,7520464,7517008,7517009,11320659,16279052,11323762,7520048,7520049,7519773,7519772,7516472,7516470,7516368,4751560,2863701,1662114,1662112,2863576,4751323,4751328,4751329,2863706,2764891,2764892,2863766,254356769,254534175,4751590,4751588,7516407,11319866,11321778,11320263,7516711,4751793,2863821,1662177,945735,533370,533369,945734,1662175,2863816,4751514,4751513,4754282,4754283,7519923,7516814,4751855,2863849,2863848,4751850,4547667,4547668,4752799,4752801,2865339,1663055,946215,946216,1663061,2865351,4548115,4548114,4548030,4548029,2864005,1662288,945805,533404,299179,165773,91324,50374,254074661,165775,299182,533411,945817,1662314,1662624,1662626,2864625,4752158,7517267,7519722,11320987,7517317,4752196,2864057,2864058,4752201,4752086,2863987,2863989,4752090,7517172,4753503,2864863,2864862,4752133,4752134,7517228,11320908,11322060,7518339,7518295,4752920,2864477,1662545,1662547,1662699,946021,533502,299219,165791,165790,299216,533492,946002,1662661,2864680,4753225,7288547,7517582,7517895,4752622,2864302,2864303,4548188,2734052,2734051,3803567,2278356,2278358,2864974,2864929,2864930,4753229,4753230,7517822,7517821,10914571,7218299,7218298,10914569,15760112,21827600,254875268,10914145,15759678,17022070,15759896,15759895,21827775,21606004,21606003,15759248,15759249,18163840,12881652,12881651,18163839,16916512,11839041,11839042,16916516,23181463,30600075,37695148,32201054,24612627,18163864,16277995,16277994,22447704,29815713,29818617,24612600,24612601,18163921,12881708,12881707,9755492,6414404,4024158,4024156,6414396,9755475,14191262,17108049,16152120,11221604,7445677,7445676,11221598,16152109,22297306,29649207,30625455,23377789,17886309,254237008,17886247,12668975,12668974,17886245,24264697,19176371,13693994,9378346,254304078,2312413,1341514,766139,766143,1341526,1362558,1341716,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,2312834,3822059,6108145,9324845,13618182,13899502,19426496,26120173,254303278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14552481, s2 = 8077858, dlinesl.size( ) = 12 s1 = 3111478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6746863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16279799, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9554356, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14941585, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6900953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209020, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8060377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10180816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2820121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6903382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6903382, s2 = 4946155, int(edited[s2]) = 0 s1 = 6903382, s2 = 4946155, d1 = 10, d2 = 12 Dl.O(d1) = 259923137,84715795,269780585,37158700,28642892,21401859,15415079,10655627,10655628,12961430,8821078,5747221,5747222,8814937,5742607,5742609,8814941,5749313,5749310,8814919,8814916,9208886,7036407,4427204,4427200,7036392,8824869,8824873,9050454,5916395,5916392,6470575,9850905,12947925,12947924,18250860,13480473,13480474,18911719 Dl.O(d2) = 21401859,15415079,10655627,10655628,12961430,12961429,18257677,12954341,8814920,8814916,9208886,7036407,4427204,4427200,7036392,8824869,8824873,9050454,5916395,5916392,6470575,9850905,12947925,12947924,18250860,13480473,13480474,18911719,25521284,33281462,257205323,64545936,53264141,42810971,33778393,33778394,42810972,257239395,42810973,42261182,42261181,33778393,25968384,255289891,9464035,6205448,3884061,2325793,1348211,769294,769293,1348201,2325760,1348236,1348235,2325757,2325760,1348236,1348235,2325757,2325760,1348236,1348235,2325757,2325760,2325844,3884177,6205465,6205464,9464057,268154217,256164231,42810970,53264139,65253818,78544000,92591432,106909951,121176359,134984524,148106235,160348894,171551071,181549251,190326928,197906213,190326927,190326926,197906212,204365579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6903382, s2 = 4946155, dlinesl.size( ) = 2 s1 = 6903382, s2 = 4946155, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6903382, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 15905755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15905755, s2 = 8188935, int(edited[s2]) = 0 s1 = 15905755, s2 = 8188935, d1 = 9, d2 = 107 Dl.O(d1) = 57658128 Dl.O(d2) = 9282955,13558901,13621311,13621310,19079264,19079027,19079025,25705805,19079052,13621121,9327009,6109634,6109633,9327003,13621114,19079038,18999332,13558916,9282964,9282965,13558921,9327272,9327049,6109657,3822861,3822862,6109659,9327052,13621182,19079092,19079093,13621202,13621203,9327393,9327392,9327177,6109727,3822897,3822899,3822929,3822930,6109785,9327264,13621496,19079475,19079288,13621332,9327156,6109717,3822893,3822892,254659099,13621324,19079281,19079451,19079486,13621513,9327278,9326994,9326995,13621101,13621444,13621443,13621095,9326991,9326989,9278281,6077502,6077503,9278287,13552965,254934079,9327485,13621784,13621430,9327225,6109758,6109757,9327222,255276763,13621421,13621232,13621230,13621337,9327159,9327158,9327411,6109869,3822972,2290460,2290461,3822882,3822880,6109688,9327104,13621250,19079198,19079196,13621246,13606072,9321073,6105848,3820395,3820394,6105847,9321071,13612467,13613500,9321644,9321643,6109762,6109761,9327227,13621432,19079391,255235146,13621518,9327280,254450923,2290444,1328927,1328926,1328942,758737,431409,243539,243538,431406,758732,1328933,2290465,3822980,6109874,9278129,9278128,13552753,9316722,6103075,3818669,3818671,6103076,9316723,9321651,6106160,6106161,9321654,13613507,13621271,9327465,9327464,9288474,6084791,6084792,9288476,6105854,6105852,9288481,6084796,3807329,3807330,6083496,3806534,3806533,6083295,3806408,2280110,2280109,3806406,6083285,6109810,3822942,3822941,6109807,9327303,13621551,13621738,13621739,19079750,25706570,33480052,33384733,25706560,19079740,254934067,9327434,13621731,19079738,25706554,33480035,42473649,42373661,42373663,33479772,25706301,25622776,25622777,33388439,25706304,19079536,19079537,25693749,19068906,13613473,13613474,19068907,25693754,33466327,39196999,42373611,42373612,33479764,25706295,25706296,33479766,42473408,52772666,42373657,33384734,33384735,33479743,33479742,33369289,25604654,25604653,19083191,13624563,9329475,9329474,13624558,19083180,25706275,32798776,25098449,25098450,19079506,19008267,19008266,25622769,33388425,42377124,42373604,33384660,25618788,19004598,13563287,13563286,19004595,25618783,33384652,256524648,42473404,33479759,33384722,25618839,19004641,19004640,25618837,33384718,33466568,33466567,42459627,52863566,42473654,33480040,33480041,42473657,42477815,33484213,25710532,19083327,19083326,25710529,25706592,19083229,19083230,25710295,33483945,42477605,33483981,33483926,33483925,42477590,52881511,59165015,47766175,47766174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15905755, s2 = 8188935, dlinesl.size( ) = 2 s1 = 15905755, s2 = 8188935, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15905755, Dl.E( ) = 112, 2.69e-05 seconds used appending s1 = 14088955, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15923827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153078, s2 = 15542970, int(edited[s2]) = 0 s1 = 11153078, s2 = 15542970, d1 = 1, d2 = 1 Dl.O(d1) = 28361393,36859546,36859794,28361627,28361629,36859797,46586883,46586884,57963468,47939539,38025755,29463585,22128757,16013867,16013868,22128760,29463590,37022794,267959194,15334496,15334497,21303319,28525011,36859661,36859662,46741285,49770863,61249528,61551448,71524671,58795393,47408360,37500829,28957877,21676500,15637856,15637858,21676505,28957888,256887215,58795408,59331316,47939524,256828006,58266704,58266703,50467489,40429558,39752335,31074718,23591400,17279477,12158915,12158916,17279480,23591406,31074730,36987916,36859660,29922234,29922235,31074742,39752368,36987930,28491021,28491022,36987936,46741280,58111358,58795396,47624648,47624650,59027439,71770231,59027437,47624644,47624642,58795401,47408374,37500841,31735492,29922227,29922229,38482290,48384906,59767708,49770837,47624630,37701625,37701626,37022799,36859764,28361572,21146041,21146040,28361569,36859757,46741351,39752320,31074773,23591440,17279499,17279498,23591435,31074763,39752393,31735247,31735248,33097223,33097224,36987919,28491025,21274526,21274527,28491028,28957829,37500754,47408254,49748576,49748575,61227656,74008348,84515010,74763517,61963273,50467426,40429499,31735276,31088629,268225000,49786897,50083302,47624635,255811264,29140731,29140734,32134170,24553153,24553152,29680206,22328739,16182557,16182558,22328742,29680211,38245024,255594670,24226974,31735495,28957882,28957883,37500839,39729694,31051061,31051060,31051226,23567141,17255743,17255744,23566954,255408784,23566973,28765656,31051099,39729737,40911916,255840742,39729774,49748538,39729651,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567027,31051121,32134195,32134194,37298341,28765363,21505437,21505435,21505737,21505738,15497635,10717656,10717657,15497564,21505685,28765632,28765703,29140718,29140716,37298610,42045260,37449856,28910224,21635587,15603818,15603814,21505989,15497804,15497803,21505987,26141315,21505994,15497809,10717773,7080938,7080937,10717771,15497805,21505991,28765247,28765248,28766276,21506250,15498052,15498053,21505541,15497472,15497473,21505543,28765459,37298407,37298296,37298297,31260395,23775207,17445600,15497336,10717487,10717485,15497343,21505340,28764993,21505104,15497190,10717394,10717393,15497187,10717513,10717511,15497397,21505429,28765354,28303004,28303006,31372896,28766322,28766323,33663454,28765055,21505185,15497242,10717425,10717426,15497243,21505188,28765090,28766270,28766271,37298287,47205137,58595593,71328630,269370272,84901870,84901871,87847732,258248512,49987610,39971800,31297630,23811693,23811694,256523051,31360593,28885760,21609751,21609752,28885762,33048609,41992080,37027171,28529149,21306908,15337371,10593147,10593146,15337368,21306905,23581384,18144866,18144865,24590192,32176638,37730730,31618642,24113371,24113369,29170675,21861070,15788627,10938471,7237777,7237776,8627110,8627111,12698500,17922401,24306500,23688786,21687528,15648503,255419837,12698504,12698505,17922407,24164599,24164600,31674265,32486883,29685989,255465685,16186709,22333771,29685992,31180693,39862277,49884746,54657222,43914502,34641077,26649585,26649588,34641082,33975975,32174048,31413654,31413656,40093313,41992179,40954779,32175410,24589114,21130431,21130433,28342670,36839408,33049033,25320650,18741945,18741946,25320655,33049038,41992432,49748144,44561924,35183614,27094828,27094829,35183616,32176191,24589764,18144569,12866503,8750105,8750106,12866506,12866521,18144592,24589735,23689917,23689916,25320928,25320929,31178801,23689922,23689451,23689009,17367119,17367121,23689017,23017445,23017446,256028556,23784529,23784548,23784547,24587786,18143218,18143217,18143294,12865750,9115541,9115540,13341971,12865773,8749678,8749680,12865777,12866262,8749969,8749968,12866258,18144132,23688903,23688901,31178131,31178921,23689561,17367453,12235725,12235727,17367457,23689567,31178930,36989498,32173910,32173909,40953527,46732743,39944742,33591066,25795115,25795116,24818370,24818369,23689558,23689559,31178916,39861609,39862456,31179960,31179959,39862454,40954315,51097266,40955784,32176629,24590174,24590173,32176628,39860533,39860532,49883658,61364963,49883698,49216184,39289455,39289454,49216181,60616907,73361757,86973331,100957584,115011767,128913633,142265091,154899062,166598917 Dl.O(d2) = 28361393,36859546,36859794,28361627,28361629,36859797,46586883,46586884,57963468,47939539,38025755,29463585,22128757,16013867,16013868,22128760,29463590,37022794,267959194,15334496,15334497,21303319,28525011,36859661,36859662,46741285,49770863,61249528,61551448,71524671,58795393,47408360,37500829,28957877,21676500,15637856,15637858,21676505,28957888,256887215,58795408,59331316,47939524,256828006,58266704,58266703,50467489,40429558,39752335,31074718,23591400,17279477,12158915,12158916,17279480,23591406,31074730,36987916,36859660,29922234,29922235,31074742,39752368,36987930,28491021,28491022,36987936,46741280,58111358,58795396,47624648,47624650,59027439,71770231,59027437,47624644,47624642,58795401,47408374,37500841,31735492,29922227,29922229,38482290,48384906,59767708,49770837,47624630,37701625,37701626,37022799,36859764,28361572,21146041,21146040,28361569,36859757,46741351,39752320,31074773,23591440,17279499,17279498,23591435,31074763,39752393,31735247,31735248,33097223,33097224,36987919,28491025,21274526,21274527,28491028,28957829,37500754,47408254,49748576,49748575,61227656,74008348,84515010,74763517,61963273,50467426,40429499,31735276,31088629,268225000,49786897,50083302,47624635,255811264,29140731,29140734,32134170,24553153,24553152,29680206,22328739,16182557,16182558,22328742,29680211,38245024,255594670,24226974,31735495,28957882,28957883,37500839,39729694,31051061,31051060,31051226,23567141,17255743,17255744,23566954,255408784,23566973,28765656,31051099,39729737,40911916,255840742,39729774,49748538,39729651,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567027,31051121,32134195,32134194,37298341,28765363,21505437,21505435,21505737,21505738,15497635,10717656,10717657,15497564,21505685,28765632,28765703,29140718,29140716,37298610,42045260,37449856,28910224,21635587,15603818,15603814,21505989,15497804,15497803,21505987,26141315,21505994,15497809,10717773,7080938,7080937,10717771,15497805,21505991,28765247,28765248,28766276,21506250,15498052,15498053,21505541,15497472,15497473,21505543,28765459,37298407,37298296,37298297,31260395,23775207,17445600,15497336,10717487,10717485,15497343,21505340,28764993,21505104,15497190,10717394,10717393,15497187,10717513,10717511,15497397,21505429,28765354,28303004,28303006,31372896,28766322,28766323,33663454,28765055,21505185,15497242,10717425,10717426,15497243,21505188,28765090,28766270,28766271,37298287,47205137,58595593,71328630,269370272,84901870,84901871,87847732,258248512,49987610,39971800,31297630,23811693,23811694,256523051,31360593,28885760,21609751,21609752,28885762,33048609,41992080,37027171,28529149,21306908,15337371,10593147,10593146,15337368,21306905,23581384,18144866,18144865,24590192,32176638,37730730,31618642,24113371,24113369,29170675,21861070,15788627,10938471,7237777,7237776,8627110,8627111,12698500,17922401,24306500,23688786,21687528,15648503,255419837,12698504,12698505,17922407,24164599,24164600,31674265,32486883,29685989,255465685,16186709,22333771,29685992,31180693,39862277,49884746,54657222,43914502,34641077,26649585,26649588,34641082,33975975,32174048,31413654,31413656,40093313,41992179,40954779,32175410,24589114,21130431,21130433,28342670,36839408,33049033,25320650,18741945,18741946,25320655,33049038,41992432,49748144,44561924,35183614,27094828,27094829,35183616,32176191,24589764,18144569,12866503,8750105,8750106,12866506,12866521,18144592,24589735,23689917,23689916,25320928,25320929,31178801,23689922,23689451,23689009,17367119,17367121,23689017,23017445,23017446,256028556,23784529,23784548,23784547,24587786,18143218,18143217,18143294,12865750,9115541,9115540,13341971,12865773,8749678,8749680,12865777,12866262,8749969,8749968,12866258,18144132,23688903,23688901,31178131,31178921,23689561,17367453,12235725,12235727,17367457,23689567,31178930,36989498,32173910,32173909,40953527,46732743,39944742,33591066,25795115,25795116,24818370,24818369,23689558,23689559,31178916,39861609,39862456,31179960,31179959,39862454,40954315,51097266,40955784,32176629,24590174,24590173,32176628,39860533,39860532,49883658,61364963,49883698,49216184,39289455,39289454,49216181,60616907,73361757,86973331,100957584,115011767,128913633,142265091,154899062,166598917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153078, s2 = 15542970, dlinesl.size( ) = 2 s1 = 11153078, s2 = 15542970, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11153078, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14924695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6749945, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9195140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11090126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6900455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6900455, s2 = 11363015, int(edited[s2]) = 0 s1 = 6900455, s2 = 11363015, d1 = 30, d2 = 52 Dl.O(d1) = 259894613 Dl.O(d2) = 83829379,97686941,111605223,125403939,260019276,163300853,151422656,151422657,163300856,174150512,163300852,163300853,163300854,261744206,155730016,143176027,129844778,115944949,101898835,87924848,74321730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6900455, s2 = 11363015, dlinesl.size( ) = 2 s1 = 6900455, s2 = 11363015, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6900455, Dl.E( ) = 58, 3.7e-05 seconds used appending s1 = 3134320, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6487923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2834090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15968840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15968840, s2 = 2835755, int(edited[s2]) = 0 s1 = 15968840, s2 = 2835755, d1 = 14, d2 = 5 Dl.O(d1) = 24053049,17699196,17698467,12518034,254093832,24052342,30538679,254300144,40242652,50261991,61740400,74522194,64332394,52464640,52464639,64332392,77496817,91428146,91428126,91428125,105654714,119893922,127937560,131470414,131470415,144696466,260278698,119893883,105654675,91428095,91428096,105654676,119893886,261436313,159396822,159396832,147014961,133764978,260874246,156697898,156697899,147014956,133764974,133764973,147014954,159396825,170745133,179717756,178849285,168546414,157097870,157097869,260278714,131470406,131470405,141297696,131470401,117665941,117665940,131470397,131470387,131470388,144696441,157097867,146281083,146281084,156697905,144273299,144273298,156697903,159465866,159465867,158649578,146281085,144273293,131035695,117237097,103120004,103120005,117237099,131035699,144273301,133053404,119223099,105030241,105030242,119223101,119223111,119223114,105030254,90850837,76972183,76972182,90850836,105030252,119223091,133053395,119667668,119223113,119223112,122379449,107953510,93516501,93516502,94364852,80308233,80308234,94364855,108652924 Dl.O(d2) = 85039214,71467246,58737559,58737558,66878735,80308293,93516507,93516508,93516488,79380145,79380146,93516490,80308303,80308304,94364885,98964216,112953409,98964209,98964208,88106670,88106671,94364863,80308280,73535603,73535602,71467244,58737557,47349818,37443094,37443095,47349820,58737561,71467249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15968840, s2 = 2835755, dlinesl.size( ) = 2 s1 = 15968840, s2 = 2835755, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15968840, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 16207673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3071376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3071376, s2 = 4014954, int(edited[s2]) = 0 s1 = 3071376, s2 = 4014954, d1 = 9, d2 = 9 Dl.O(d1) = 95180526,85072758,71500602,71500603,85072760,98998437,112988131,126842069,140190630,152882171,164714454,175469078,185009872,193341300,189867611,189867610,262480436,159542501,147183862 Dl.O(d2) = 95180526,85072758,71500602,71500603,85072760,98998437,112988131,126842069,140190630,152882171,164714454,175469078,185009872,193341300,189867611,189867610,262480436,159542501,147183862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3071376, s2 = 4014954, dlinesl.size( ) = 2 s1 = 3071376, s2 = 4014954, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3071376, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 2167552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2838983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15112479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2983515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2983515, s2 = 11389982, int(edited[s2]) = 0 s1 = 2983515, s2 = 11389982, d1 = 38, d2 = 33 Dl.O(d1) = 89725740,75946593,75946594,71557863,71557864,85128353 Dl.O(d2) = 147250317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2983515, s2 = 11389982, dlinesl.size( ) = 30 s1 = 14123261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123261, s2 = 4052008, int(edited[s2]) = 0 s1 = 14123261, s2 = 4052008, d1 = 43, d2 = 53 Dl.O(d1) = 186528286,185056849,175519385,262195671,261678493,113051313,99063994,258706133,58843226,47457683,37549757,29003937,21718058,15674124,10850915,10850916,15674126,255856438,255856436,37549756,47457680,258082307,259332041,113051311,113051312,126903872,140250642,152939807,164769016,175519384,185056848,193385156,200531824,206565747,264739521,218990954,221832704,223979785,221511285,218630767,215208158,215208159,211053040,205968757 Dl.O(d2) = 170534389,180668103,263336368,209294917,210725584,210725583,262460262,213787002,273230078,203818332,197258196,189567865,189567864,263336370,209294913,209294915,261424046,189567867,180668101,170534388,170534389,180668102,189567868,261424042,205573386,271026218,191981585,183422583,173631432,162604502,150478956,257184686,255652944,254914310,67746584,55406518,254203126,27091467 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6752348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6752348, s2 = 11597846, int(edited[s2]) = 0 s1 = 6752348, s2 = 11597846, d1 = 27, d2 = 25 Dl.O(d1) = 258086525 Dl.O(d2) = 234795964,233738500,266324277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6752348, s2 = 11597846, dlinesl.size( ) = 2 s1 = 6752348, s2 = 11597846, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6752348, Dl.E( ) = 40, 1.1e-05 seconds used appending s1 = 13476367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13476367, s2 = 13241340, int(edited[s2]) = 0 s1 = 13476367, s2 = 13241340, d1 = 14, d2 = 13 Dl.O(d1) = 64330703,77495167,91426597,100662980,268938592,77495171,75642827,62698747,51069771,40929359,32151890,32151891,39028740,39028739,48950990,60347350,73086591,62698730,62698733,75642807,89403886,268938590,131430926,117628831,103497976,89403881,89403880,103497973,117628827,131430921,144654647,134889706,121088001,106828544,258736140,117628834,117628833,131430928,144654649,259979702,119892859,119892860,117628857,103497993,89403900,89403898,103497990,103497997,103497995,257502628,89403892,103497986,258736148,144654660,270834910,133764057,144654645,131430917,117628820,103497968,103497969,117628824,131430919,144654646,131430940,117628843,103497983,89403883,89403882,103497981,117628836,131430933,140333401,140333400,153031379,154609589,141966133,128605237,114708434,255884908,73086582,60347341,60347342,73086584,86690368,95626006,256922450,123969522,109829991,109829989,123969517,113808310,99794394,259027724,260272102,126978753,126978738,126978739,113120125,99129200,85206446,85206447,99129202,85206494,85206495 Dl.O(d2) = 259403006,99595963,257544896,269350500,85419751,255923574,47932165,38018319,29456291,22122284,16008471,11114072,11114073,16008472,22122285,29456294,38018322,29456814,22122789,16008914,11114504,7371659,4656895,4656896,4656691,2805326,1627382,1627386,267829267,7371334,7371351,4656708,2805342,2805341,254523657,11114103,16008515,11114119,11114118,16008535,16008475,11114075,11114074,11114063,7371322,4656685,267829168,925395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13476367, s2 = 13241340, dlinesl.size( ) = 2 s1 = 13476367, s2 = 13241340, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13476367, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6488464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14544249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8294923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8294923, s2 = 8722299, int(edited[s2]) = 0 s1 = 8294923, s2 = 8722299, d1 = 34, d2 = 20 Dl.O(d1) = 85369969,71780579,258715067,259959909,85369965,85369964,99314763,260560189,260560195,113318327,261137733,140524547,127177850,127177848,113318325,99314767,260560193,140524544,140524547,127177850,113318326,113318327,127177851,140524546,127177849,259959913,99314769,113318327,127177851,140524548,140524553,127177855,127177856,127177850,127177848,261137731 Dl.O(d2) = 262136288,259881102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8294923, s2 = 8722299, dlinesl.size( ) = 2 s1 = 8294923, s2 = 8722299, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8294923, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 14610907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14525437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14525437, s2 = 6934012, int(edited[s2]) = 0 s1 = 14525437, s2 = 6934012, d1 = 6, d2 = 5 Dl.O(d1) = 255614096,71613909,85178403,99099950,85422074,257716222,47696400,37775389,29213874,255434741,10963918,7257330,4577032,2753750,1596328,1596329,2753753,4577035,7257335,10963924,15820654,11205666,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,254528032,20335680,16920781,11842074,7914123,7914122,11842070,16920774,23186991,23751112,17425440,12281963 Dl.O(d2) = 30503308,39099145,43867941,54610752,66868822,77750776,77750777,91677819,260283297,133938666,147161336,159520919,170850051,162070909,149856858,136714069,122881820,108617066,94329353,80272608,66842581,61611956,52250768,52250767,43837878,34565875,256088314,19776457,23650922,26584944,19780889,14168520,14168519,19780887,21333274,19775810,14164786,14164787,254680143,6403948,9738626,14165499,19776792,26579757,22705117,255232522,15077650,17079752,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018743,23018772,23018774,19774276,19774277,26576670,29876544,22519611,22519610,22908821,19775186,14164402,9738003,9738007,14164412,19775199,19775289,19775691,19775690,26578462,26585337,26579310,26579312,26577743,19776116,14164992,14164994,14163819,14163818,9738033,9738036,14164368,9737985,6403608,4017694,4017692,6403601,9737969,14164337,19775098,26577831,34564684,43837277,54582575,66842319,269395948,66842317,66842316,66842315,255169910,101773133,87801038,74197777,65575002,53550109,53550108,43071180,43071150,43071151,34013379,26171627,19470748,13935396,9565810,9565811,9565782,9565783,6277469,3930835,2353327,1363236,1363237,2353328,3930837,6277472,9565813,13935397,255707139,26171630,34013382,32672996,32672997,38898359,48820254,40817711,32056661,32056662,31731808,24223579,17852084,17852086,24223581,31731811,40425663,50463183,61959075,270404441,88393125,102393667,116487879,261086878,143647202,143031503,129700323,115801028,101754335,87780861,74176074,61395599,49915365,39895536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14525437, s2 = 6934012, dlinesl.size( ) = 12 s1 = 6753498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6753498, s2 = 4101541, int(edited[s2]) = 0 s1 = 6753498, s2 = 4101541, d1 = 25, d2 = 2 Dl.O(d1) = 258097275,85428163,99369466,113369903,127227551,261691487,165071758,272849585,153254280,165071767,175801577,165071764,153254276,140572812,127227555,113369906,99369469,259964697,127227556 Dl.O(d2) = 153254283,153254284,165071772,263128363,185311371,175801576,165071763,153254275,140572809,260564891,260564889,140572805,153254272,262688597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6753498, s2 = 4101541, dlinesl.size( ) = 2 s1 = 6753498, s2 = 4101541, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6753498, Dl.E( ) = 26, 2.41e-05 seconds used appending s1 = 14108897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15534369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15534369, s2 = 6675438, int(edited[s2]) = 0 s1 = 15534369, s2 = 6675438, d1 = 27, d2 = 14 Dl.O(d1) = 29054544,21759991,15704856,10871962,7188282,4528729,2722336,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636387,16426302,15705696,15705697,21761120,22403937,16241716,16241715,19817966,19817963,19817918,19817917,19820538,14197817,14197816,19820535,19655202,14088518,14088519,19655205,26389559,24214552,24214553,28996736,26630202,23388005,17116220,12028095,12028082,12028085,12028313,16377886,16377888,17121521,17121523,22555402,19833105,16431367,11446461,11446460,12033056,8089479,5182744,3162068,3162066,5182737,8089466,12033024,10454438,10454441,7682208,4860934,2929243,2929247,4860947,7682240,11546830,9688199,9688197,14084800,11837028,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1056374,593956,593955,1056368,1850969,254386519,8088691,11983460,11983461,14943582 Dl.O(d2) = 200197098,206267831,211287011,206267827,200197097,193008240,193008239,200197096,200197098,206267831,211287011,206267827,200197097,193008240,193008239,200197096,200197098,206267831,211287015,211287010,206267827,200197097,193008240,184629150,175035037,164229268,152356549,139635850,257207208,98412947,84491309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15534369, s2 = 6675438, dlinesl.size( ) = 2 s1 = 15534369, s2 = 6675438, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15534369, Dl.E( ) = 42, 1.31e-05 seconds used appending s1 = 9022532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9022532, s2 = 6516893, int(edited[s2]) = 0 s1 = 9022532, s2 = 6516893, d1 = 16, d2 = 9 Dl.O(d1) = 44366072,34988067,34988066,44366068,55217123,67560666,74247151,74247150,87852004,101826616,259009696,112635178,269449448,84707893,98638217,112635180,126500487,117861573,103707527,103707526,109021577,109021576,123247046,133765377,119894302,119894303,133765375,127893759,114013607,114013608,118138782,103986506,89866676,89866677,95169551,95169553,81111089,67644794,67644793,81111087,95169549,109425884,123619811,137352417,259787166,155603634,162741057,150645079,150645080,162741059,173743022,183514238,189781488,189781482,180888031,170749025,159401532,159401533,163348077,151464486,151464484,163348074,174200880,163348079,163348078,159401534,147020708,147015301,133765373,119894299,105655096,257196468,133765374,125433661,111630361,111630360,111630378,105655098,105655097,111630352,258401414,70323702,57632930,57632929,70323700,83849455,97708822,111630368,97708817,83849452,70323698,57632928,46288248,36435220,36435221,46288250,57632932,258618587,270270917,97708823,111630375,111630381,111630380,125433651,111630353,97708838,97708839,111630387,111630390,259245018,46288257,36435225,27976485,20812927,20812928,27976487,36435229,46288253,46288252,57632935,70323707,83849462,97708831,257030944,70323729,57632954,46288267,36435233,36435232,46288265,257030942,46288201,36435179,27976457,27976456,36435178,40471594,31776885,24264480,267916234,12668866,254573486,255535580,268664500,88427029,99431128 Dl.O(d2) = 42057181,42057182,52401089,46677458,36791445,36791446,46677460,58052187,270282233,98236529,257251132,256174126,38228599,38228600,48138717,59525703,72259289,85850404,76453857,65536055,65536052,71268260,58536488,47147988,47147989,58536490,71268263,84842146,71268078,58536295,47147857,256328391,21456365,21456364,256328389,47147856,58536293,49727081,47147859,37242489,37242490,257449229,47148046,47148047,58536564,257024334,49745066,40092503,31412716,23923126,23923124,31412712,36534371,38979755,30392579,30392580,37242643,37242642,38979824,48901022,50112973,40092453,39725992,31047195,31047194,39725987,39726079,39726062,31047234,23563161,23563160,31047229,28067732,28067733,36534414,46395183,57745782,61224558,57745790,46395201,46395202,52325359,49871818,49871816,49871803,39849501,31167422,31167421,39849496,36534376,28067715,20896597,20896596,28067728,36534399,46395154,46395126,36534383,36534384,256101880,41665613,32754287,32754284,41665611,39849474,39849475,49871769,49753635,39734937,31056783,31056782,39725967,31047180,23563140,17252202,12132597,8162762,5232594,5232593,8162759,12132587,17252180,17252158,17252159,23563076,31047024,39725731,49744985,47081836,37186585,37186584,46395136,39849490,39849491,49871793,49745157,49745155,39725915,39725916,49745226,49745251,39725930,39725928,31047209,31047064,257045251,256615986,41707432,41707431,40325752,40325756,50352421,50352811,51904131,59680945,59680946,61836879,61836880,58933102,58933104,47959542,38046420,38046419,47959537,40325559,31636179,24129076,24129075,255640840,50352540,50352597,50352598,61836755,74628918,61836802,61836801,61836821,74628966,71477657,58748457,47361542,47361540,58748452,50352497,40325702,40325701,257627867,257091681,40325606,39745228,31067087,23582864,23582865,24129123,24129121,24191151,31699354,31636219,24129091,17765778,12571934,8526117,5524739,5524740,8526120,12571941,17765789,24129111,31636263,40325644,40325643,33012233,33012234,41954532,46312757,36459962,28001185,21641702,20836923,20836921,28001740,36460533,39248512,30652671,30652670,36460518,36460517,30082982,22701108,22701106,28544806,21321191,21321189,28001054,20836323,20836324,21321197,17270428,12149259,12149261,17270436,21893215,17822025,12618329,12618327,17822016,24191136,31636196,24129083,24129082,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,20836423,22564265,16384474,16384475,22564268,29923842,25282132,25282131,20836920,14937810,14937809,20836916,28001723,257385781,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36458975,36458977,36459541,28000865,20836200,14937278,10273153,6751287,6751288,254997399,20836227,28000910,28000876,28000877,20836251,14937301,14937300,20836247,28000943,20982114,15069986,15069985,20982110,28161879,36636746,36636765,28161896,20982118,20982117,28161892,28000994,20836286,20836284,28000991,36459520,36459521,36460441,46313171,57657321,57657320,57656719,57656714,46312345,40377526,31683953,256546699,36460358,43033844,33976919,33976918,43033839,53512140,57656816,256920633,37949297,46312369,57656741,50357498,50348700,40322226,31633345,255472066,17763889,24126758,31633355,40245440,40245441,50265113,50357494,50357495,61743616,50265116,40245445,31559280,31559283,40245578,50265288,58365203,58365204,59262986,50265383,50265198,40245505,31559232,24054607,17700617,12519934,8482053,8482052,12519933,17700614,256032689,40245481,269342438,50357548,40330620,40330617,50357545,60282481,256600858,55424666,44577504,255469370,20208553,14501161,14501162,20208559,27109340,30437682,23031021,23031022,30437685,30437690,39027206,39192067,39192066,49120109,60521400,60222549,48825623,38903407,30316462,30316460,38903403,30382687,30382688,38968850,48888895,60282479,73019300,73085712,60521376,256947870,39192029,49120073,48825628,38903412,38903415,43033040,43033039,53511520,48949745,48949746,39863034,33977610,33977608,43034538,38968854,31180584,31180583,39863018,48949761,48225719,48225720,46732670,46732669,43034101,33977237,33977239,41992383,41992384,48949733,55424638,53511076,53511075,53512242,53512244,60346294,61743578,50265052,43032293,33975290,33975289,38316016,38316017,43921244,43921250,49885316,39863062,31180610,31180609,39863058,43032729,53511211,52331733,49885347,49885349,61366103,53510877,53510876,43033743,39863101,31180633,23690906,23690905,31180629,33975295,33975296,43032295,52331653,43033153,33976204,33976203,43033148,53511079,51096931,51096933,58104262,58104261,64181983,52331741,41992323,33048898,33048897,41992321,43033143,33976196,33976195,43033141,43033078,43033077,53511063,43032541,257055205,268437309,17368333,17368334,23690902,31180621,39251364,30655618,30655619,39251367,49176411,50265090,53512239,43034012,33977122,33977120,39027235,39027238,33976216,26137355,256174139,43032457,43032456,41992336,33048904,256632439,52331751,43034016,33977128,26138250,26138249,33977126,33975578,26136732,26136731,33975575,257251099,257251181,43033160,33976210,26137353,26137352,26137357,19441360,13911698,9547801,6264352,6264351,9547799,13911691,19441351,26137205,19441257,19441256,26137201,19441813,19440789,19440790,26136658,33975493,33975711,26136899,26136898,26137879,26136748,26136635,19440777,13911241,13911240,19440776,26136632,26137945,19441845,13912075,254671135,6264533,9548057,13912073,13911515,13911516,255705421,33975816,39251358,43032750,33975848,26137837,26136624,19440767,13911235,13911234,19440765,26136622,268315927,13911983,9547992,9547993,13911986,19441745,13912343,9548265,9548052,9548050,13912064,19441833,26137929,33976837,43033748,33976800,26137901,19441799,13912034,9548038,9548039,13912038,256174167,33976847,33976846,43033777,53510989,43032462,33975500,26136662,255705359,13912050,13912048,19441816,19440863,13911433,13911432,268158833,19441771,13912016,255296767,9547419,6264094,3921624,2347488,1359753,1359752,2347483,3921606,6264052,255296759,9547571,9547573,13911372,19440946,26136831,33975616,33975231,26136379,19440519,13911017,9547305,9547306,12254813,8276369,8276367,12254808,13911523,19441111,26137012,26136349,19440488,19440489,23714342,31202111,33976671,26137742,19441633,13911901,9547940,6264437,3921841,3921842,254671123,13911909,19441648,26137688,26137686,33975182,43032223,43032590,33975648,26136825,26136824,31202030,23714268,17390415,12254793,12254792,17390408,23714252,31202000,39795842,39795844,43033991,49903137,49903138,53510842,53510843,49816564,39795772,31115158,31115157,39795768,49816558,50033540,40330539,31641652,24134853,24134852,31641659,40330552,43951945,43951946,256727445,34670599,43944800,43944786,34670586,34670585,26695824,268540049,36844506,31115165,23628585,23628586,31115169,39795780,32312725,28743774,28743775,37276320,35199542,35199544,27109750,27109748,35199583,32312729,32312730,254986906,27109143,35198947,44577281,257919487,35199514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9022532, s2 = 6516893, dlinesl.size( ) = 2 s1 = 9022532, s2 = 6516893, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9022532, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 6754129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1930598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16401391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6590614, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6696025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6696025, s2 = 12037410, int(edited[s2]) = 0 s1 = 6696025, s2 = 12037410, d1 = 17, d2 = 10 Dl.O(d1) = 257460896,85551320,98938998,85013561,259322059 Dl.O(d2) = 24091076,20275101,20275100,24091090,17733567,12546982,8506232,8506231,255193315,24091087,268685821,29314448,29314447,31788869,30019741,30019743,31815277,29314433,21986274,15889938,15889936,15889932,11015170,11015169,15889929,21986260,24299562,17916672,15889900,11015150,7291952,7291954,11015158,15889912,21986225,29314360,256915937,41610868,32707118,32707120,37883185,29314342,21986215,21986216,29314345,37883189,29314355,21986222,21986223,29314358,37883206,47806701,51911167,41610875,32707124,32707125,257166911,59206105,61699191,71945035,59206059,59206020,59206019,60814568,49414421,39484602,39484601,49414417,60814564,258730117,258730121,258927027,74955640,62145972,50639591,50639592,62145974,73560904,60814621,49866650,49866649,49866652,39843956,39843957,49866653,61348811,60814623,60814624,259492317,258245493,49866656,49866657,40591615,31884231,31884230,31884241,34311506,34311505,257271289,53939766,257615619,39484674,30879046,30879045,39484671,49414489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6696025, s2 = 12037410, dlinesl.size( ) = 2 s1 = 6696025, s2 = 12037410, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6696025, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 6754981, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1206606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3158317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6955541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14623047, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3431672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2861006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2861006, s2 = 14743977, int(edited[s2]) = 0 s1 = 2861006, s2 = 14743977, d1 = 0, d2 = 24 Dl.O(d1) = 85635786 Dl.O(d2) = 264635556,224943933,265099006,274235388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2861006, s2 = 14743977, dlinesl.size( ) = 2 s1 = 2861006, s2 = 14743977, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2861006, Dl.E( ) = 26, 1.31e-05 seconds used appending s1 = 8316916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1939164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1939164, s2 = 225199, int(edited[s2]) = 0 s1 = 1939164, s2 = 225199, d1 = 35, d2 = 2 Dl.O(d1) = 50061501,61539688,71945041,84071207,70534999,57833601,46477861,36611829,28138214,28138215,256822505,53084567,259056667 Dl.O(d2) = 5486117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1939164, s2 = 225199, dlinesl.size( ) = 2 s1 = 1939164, s2 = 225199, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1939164, Dl.E( ) = 44, 2.29e-05 seconds used appending s1 = 14534031, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1603930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1845135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3166739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3166739, s2 = 13559111, int(edited[s2]) = 0 s1 = 3166739, s2 = 13559111, d1 = 11, d2 = 25 Dl.O(d1) = 99759473 Dl.O(d2) = 29603549,22253825,22253823,29603547,31302745,23816027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3166739, s2 = 13559111, dlinesl.size( ) = 2 s1 = 3166739, s2 = 13559111, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3166739, Dl.E( ) = 36, 3.1e-05 seconds used appending s1 = 3169483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14089826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14669623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3170738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15218507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2875094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8253465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14893508, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2955677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9560718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8300797, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2879723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15919142, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14910116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7667795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7667795, s2 = 8542187, int(edited[s2]) = 0 s1 = 7667795, s2 = 8542187, d1 = 46, d2 = 70 Dl.O(d1) = 271798974 Dl.O(d2) = 141512654,262264549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7667795, s2 = 8542187, dlinesl.size( ) = 20 s1 = 6958698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6958698, s2 = 14260437, int(edited[s2]) = 0 s1 = 6958698, s2 = 14260437, d1 = 37, d2 = 45 Dl.O(d1) = 260618231 Dl.O(d2) = 2663996,4434991,3847737,3847736,6149073,9385860,13703590,16876146,23136356,25842075,19188253,13703891,13703890,19188252,254455220,13703680,13703922,13703923,19188297,21425197,15433227,10669295,10669294,15433219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6958698, s2 = 14260437, dlinesl.size( ) = 30 s1 = 16132104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6759281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6759281, s2 = 13650524, int(edited[s2]) = 0 s1 = 6759281, s2 = 13650524, d1 = 34, d2 = 76 Dl.O(d1) = 258151071 Dl.O(d2) = 263168781,176498903,165843615,154074333,141400331,128031988,272220761,154074337,165843619,176498906,185928673,194149922,201191603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6759281, s2 = 13650524, dlinesl.size( ) = 64 s1 = 11244482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244482, s2 = 7078300, int(edited[s2]) = 0 s1 = 11244482, s2 = 7078300, d1 = 1, d2 = 1 Dl.O(d1) = 239101996,239687978,240230172,240732616,241054537,240578994,240066315,239513159,238914097,266658082,266583968,235889982,234939872,233896770,232752049,232752047,231485835,231485834,265847730,228480416,230072614,228480417,226668507,224589124,222194687,219405455,216103478,212117649,207239062,263861834,186085814,176669443,166028676,154275893,141620007,128269443,114393220,100369892,86413833,72818731,60081365,48685144,38763419,30180102,256330586,29954659,38519399,48427016,59813021,72548220,86146563,100112573,114146284,128035339,128035338,128035336,128035337,259958566,100112574,114146285,128035342,141403786,262257235,176501878,185931391,263877224,171861157,262476780,135249324,121398327,121398326,107100133,92759114,92759113,78695616,258411100,257204600,256132330,13857388,9506177 Dl.O(d2) = 239101996,239687978,240230172,240732616,241054537,240578994,240066315,239513159,238914097,266658082,266583968,235889982,234939872,233896770,232752049,232752047,231485835,231485834,265847730,228480416,230072614,228480417,226668507,224589124,222194687,219405455,216103478,212117649,207239062,263861834,186085814,176669443,166028676,154275893,141620007,128269443,114393220,100369892,86413833,72818731,60081365,48685144,38763419,30180102,256330586,29954659,38519399,48427016,59813021,72548220,86146563,100112573,114146284,128035339,128035338,128035336,128035337,259958566,100112574,114146285,128035342,141403786,262257235,176501878,185931391,263877224,171861157,262476780,135249324,121398327,121398326,107100133,92759114,92759113,78695616,258411100,257204600,256132330,13857388,9506177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244482, s2 = 7078300, dlinesl.size( ) = 2 s1 = 11244482, s2 = 7078300, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11244482, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14525348, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6958793, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8527990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13241339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6759615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9402918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9402918, s2 = 410462, int(edited[s2]) = 0 s1 = 9402918, s2 = 410462, d1 = 1, d2 = 1 Dl.O(d1) = 48473405,48473406,41662007,32751043,32751044,39071999,39072002,31983184,24429022,18016326,12768944,8678946,5647124,5647122,4983031,3010137,3010135,4983021,7850212,4983694,3010415,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010413,4983518,3010344,3010346,4983557,7851272,11289851,16239184,16822809,16822812,23073749,23073767,23073769,23070033,23070034,30481379,256176577,19479802,256176579,41400863,257155951,48473416,59864960,72602898,86200343,260021883,128079544,261746549,165882022,176535921,185964567,263917043,203350143,196703066,188937491,179974207,169788751,158416647,146041330,261888472,90617979,76751750,63659196,51863485,41573155,32677455,24999769,24449158,18032175,12781786,8688941,8688942,8945885,8945884,13125310,18474708,24999774,32677463,41573161,48084409,51863484,63659194,58179133,257424059,36933453,28434673,21210402,15243717,10516254,6935190,4357893,2610947,2610946,4357890,6935182,10516237,15243688,15243820,10516309,10516308,15243818,21210577,28434913,28434659,28434658,28434486,255387529,10516202,10516201,15243626,21210263,24852206,18355904,13032514,8875031,5786773,3607169,3607170,5786776,8875037,267823460,24852234,32494145,41341626,38199760,29632983,22280895,22280896,29632977,26640168,26640166,34630245,34630471,43902879,37506625,29633005,22280908,22280907,29633002,33344487,33344485,42325577,38199672,38199674,47414216,47414214,38199708,29632948,29632949,38199711,34275028,26400090,19666145,19666146,26400093,34275031,26640396,19828171,19828092,14203831,9764300,6419946,4027630,2413531,2413532,4027636,6419959,9764323,12799785,18055011,24476507,32040681,40799809,38199757,34630484,34630483,43902917,43902998,54645823,50057761,50057762,43903200,43903197,43903019,43903018,54646101,66903180,259134331,94384846,108671511,122935718,136766678,149907440,273339592,165326150,153533949,140856979,127500450,260221654,85664672,72077747,59343835,47952598 Dl.O(d2) = 48473405,48473406,41662007,32751043,32751044,39071999,39072002,31983184,24429022,18016326,12768944,8678946,5647124,5647122,4983031,3010137,3010135,4983021,7850212,4983694,3010415,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010413,4983518,3010344,3010346,4983557,7851272,11289851,16239184,16822809,16822812,23073749,23073767,23073769,23070033,23070034,30481379,256176577,19479802,256176579,41400863,257155951,48473416,59864960,72602898,86200343,260021883,128079544,261746549,165882022,176535921,185964567,263917043,203350143,196703066,188937491,179974207,169788751,158416647,146041330,261888472,90617979,76751750,63659196,51863485,41573155,32677455,24999769,24449158,18032175,12781786,8688941,8688942,8945885,8945884,13125310,18474708,24999774,32677463,41573161,48084409,51863484,63659194,58179133,257424059,36933453,28434673,21210402,15243717,10516254,6935190,4357893,2610947,2610946,4357890,6935182,10516237,15243688,15243820,10516309,10516308,15243818,21210577,28434913,28434659,28434658,28434486,255387529,10516202,10516201,15243626,21210263,24852206,18355904,13032514,8875031,5786773,3607169,3607170,5786776,8875037,267823460,24852234,32494145,41341626,38199760,29632983,22280895,22280896,29632977,26640168,26640166,34630245,34630471,43902879,37506625,29633005,22280908,22280907,29633002,33344487,33344485,42325577,38199672,38199674,47414216,47414214,38199708,29632948,29632949,38199711,34275028,26400090,19666145,19666146,26400093,34275031,26640396,19828171,19828092,14203831,9764300,6419946,4027630,2413531,2413532,4027636,6419959,9764323,12799785,18055011,24476507,32040681,40799809,38199757,34630484,34630483,43902917,43902998,54645823,50057761,50057762,43903200,43903197,43903019,43903018,54646101,66903180,259134331,94384846,108671511,122935718,136766678,149907440,273339592,165326150,153533949,140856979,127500450,260221654,85664672,72077747,59343835,47952598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9402918, s2 = 410462, dlinesl.size( ) = 2 s1 = 9402918, s2 = 410462, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9402918, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 2887731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8254233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8254233, s2 = 8463376, int(edited[s2]) = 0 s1 = 8254233, s2 = 8463376, d1 = 12, d2 = 10 Dl.O(d1) = 7789053,7789052,11680846,11688381,11688380,16730972,22957363,256452773,32967244,255933418,18415480,13080430,8913373,5816607,5816608,8913376,13080434,255164164,18120643,18120644,24558831,18120537,12848839,8737430,5688192,5688193,8737431,12848841,18120544,24558844,29851657,38419608,39992236,49130176,40916374,40915084,40915083,40915102,40915101,51056832,62687171,63876350,63876349,76987527,73512012,60762837,60762838,62687768,62687769,58032501,58032500,47430234,37522675,37522674,47330515,58719014,58816546,58115527,46746234,46746236,256839780,58032503,46659838,36774593,28278735,21074403,15137971,15137970,21074400,28278727,36774583,42760600,47430016,47430015,41742499,32821462,32821461,31696355,31696354,39094511,30498664,23085333,23085332,30498660,30652732,30652731,33600422,33600423,42624971,256839760,30571840,255908376,30067619,22688798,16488487,16488486,22688796,30067617,269353029 Dl.O(d2) = 259385008,259647818,46788372,46788371,58155858,70869878,84427107,98336611,260504713,272828400,112319401,272524872,84427106,70869877,70869876,70869879,84427109,98336616,112319405,262639996,70869878,259283259,112319401,262155633,139555160,126180015,112319407,271764683,36910667,257422178,6926854,10504841,268067916,28413206,28413115,28413116,36910572,38455385,48357113,271297194,112213163,269870492,15145829,10445765,6886061,4322631,4322630,6886060,270296200,5334193,254268007,1101910,618439,343703,343704,618447,1101926,1927873,3277620,3290795,3290699,3290698,5352737,8297422,12141331,267905793,600246,334383,334384,600248,1068057,1872513,3198729,254531109,4725034,3240938,3240937,5268990,3223708,3223710,4575126,4737168,4737169,4832455,2911999,2912000,3253915,5303130,5267689,5267140,3221916,3221917,3200363,1873704,1069048,600811,600814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8254233, s2 = 8463376, dlinesl.size( ) = 8 s1 = 13542757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3456430, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3187450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3187464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3187464, s2 = 7703171, int(edited[s2]) = 0 s1 = 3187464, s2 = 7703171, d1 = 22, d2 = 59 Dl.O(d1) = 100266411 Dl.O(d2) = 260629093,141536795,273135083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3187464, s2 = 7703171, dlinesl.size( ) = 8 s1 = 3188766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3188766, s2 = 15447213, int(edited[s2]) = 0 s1 = 3188766, s2 = 15447213, d1 = 39, d2 = 106 Dl.O(d1) = 100289433 Dl.O(d2) = 98239090,112217565,126073760,139444990,146804058,133545491,119670745,259345808,77290506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3188766, s2 = 15447213, dlinesl.size( ) = 2 s1 = 3188766, s2 = 15447213, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3188766, Dl.E( ) = 138, 3.6e-05 seconds used appending s1 = 3458186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3458186, s2 = 11158368, int(edited[s2]) = 0 s1 = 3458186, s2 = 11158368, d1 = 17, d2 = 76 Dl.O(d1) = 114322964,100292378 Dl.O(d2) = 131854935,145112961,131854917,131854916,143708435,143708434,270920188,258296040,130382730,116544641,102447879,88446236,74813968,74813967,88446234,102447876,256048208,79306972,72382953,59648029,48260766,38349811,29777645,22413099,16248810,16248812,22413102,29777647,38349815,48260775,59648040,59638202,48250966,48250965,47064285,47064282,256186898,269144808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3458186, s2 = 11158368, dlinesl.size( ) = 2 s1 = 3458186, s2 = 11158368, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3458186, Dl.E( ) = 78, 2.91e-05 seconds used appending s1 = 11308718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2897574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8331224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3026758, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9544306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2580329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087108, s2 = 13444466, int(edited[s2]) = 0 s1 = 14087108, s2 = 13444466, d1 = 49, d2 = 87 Dl.O(d1) = 270518348,270291110,10615039,8123232,8123233,12080117,17180799,23459358,24432351,31987431,31807996,24293017,24293016,31807994,30891175,23458495,23458494,23276067,23276068,30690869,39288121,30703316,30703317,31440812,267989832,30703270,31363380,39498443,39174911,39174912,49105152,39966209,39966210,49982713,49227676,46945135,37961879,29397459,22067036,22067037,29397462,31440738,23949097,23949098,31440741,255615194,37066038,29690425,22337942,16190305,11254234,11254235,16190308,22337945,24298468,31813962,38255681,30385262,22982908,16745428,16745427,22982905,17028400,17028401,20211260,27112432,32184988,24597769,18150793,12870847,12870848,18150795,24597774,32184992,27112429,27112428,35202308,44580461,40487218,40487217,38345338,29774086,29186629,269368114,15619695,21654378,28931809,29770011,31310934,27301128,27301127,35433657,257067672,29742533,29742534,30160282,22771897,22771896,30160280,38743107,48664839,42066344,33117443,25382056,18797168 Dl.O(d2) = 154356068,143141415,129809981,115910318,101864389,101864388,115910315,129809971,143141406,141706518,141706517,154356075,166102976,167327777,155694662,143141417,143141416,155694660,166102972,166102971,166102966,154356062,154356061,141706506,128358516,128358518,141706511,154356071,166102969,166102963,166102962,262551276,166102976,167327777,155694662,143141417,129809982,115910318,101864389,87890897,258418518,23844335,23844334,31336325,257266176,59129135,47730476,256606564,258862354,255550965,17340536,23657412,31144442,27243865,20312719,20312720,27243867,268118608,30451807,255588942,49281243,46603024,36714927,29782829,29782830,24163352,17795625,12596310,12596311,17795630,24163358,31673045,31673166,24163531,17795771,12596396,8547360,8547359,12596393,17795765,21026973,22657975,22657974,30032620,36714904,28222163,21026923,21026922,255586977,12596400,8547362,8547361,255197147,17795650,17795652,22658111,19040849,19040850,23883587,23883588,30032744,31673188,31380585,31380584,38606430,30032805,22658180,22658181,23883671,23883669,24163552,17795789,17795788,15102842,12596313,12596312,8547345,5545726,5545727,8547348,12596379,17795739,24163497,23029456,16786919,11737546,7836595,254252152,16786918,21504152,255039325,10716769,15496393,17027860,17027862,23286930,256312684,15497100,255394396,28764850,37297896,37883467,37297824,28764682,21504791,15496913,15496912,15496698,10717005,7080465,4457853,4457852,7080474,10717013,15496710,21504582,255408647,10717229,7080637,7080638,10717230,15496280,10717146,10717148,10716686,10716684,10015752,10015751,10517222,7298292,4603359,2770120,2770121,254518675,11023351,15900848,22000542,17784853,17784854,24152130,269887362,22699026,16495915,16495917,13896048,12914818,12914817,18208507,24672270,29685099,22333132,22333134,28219878,28998660,28998658,37543965,28998727,21713797,21713796,28998725,37544020,47451904,48771138,38851330,30267307,27165767,20251246,20251247,27165770,28837217,28837216,30403594,22998754,22893283,21165541,15208659,15208658,21165540,255321087,9844749,6465872,6465871,9844746,14331049,14531627,9999099,6571488,6571487,9999095,14531619,20251199,26166978,26166977,25442390,25442389,33187832,40333851,40333853,32869809,25162504,25162503,30426892,32869806,32869807,41790792,40395972,31703913,24196364,256041431,29521886,29521887,38086357,47998414,39433670,39433671,49362824,49763494,49763493,61242400,61242429,258238379,74022865,61242428,49763531,49763530 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169986, s2 = 3196830, int(edited[s2]) = 0 s1 = 11169986, s2 = 3196830, d1 = 0, d2 = 0 Dl.O(d1) = 95597290,81563842,68074020,55675063,44765689,35339368,27215287,20286837,14556902,14556903,10016726,6583708,4125046,2467746,1426438,1426437,2467740,4125028,6583677,10016667,14556765,20286692,17554860,17554861,17578019,12406159,8384723,5410743,5410742,8384721,11544112,7680241,4859635,4859633,5399953,8366803,12381726,12394023,12394026,9075112,8622061,5605714,5605716,8622043,12691984,12383875,12383871,17546586,16195218,11257864,11257863,11618462,12376903,11618187,8274220,5338887,5338882,8274208,12251319,17385631,17552491,22878717,22878716,30276013,38860634,48780872,60175361,72912246,86508713,100466660,114491196,269639408,86508711,100466656,86508710,256752122,60175360,257317864,100466658,114491200,128367139,141714009,154362780,165466412 Dl.O(d2) = 95597290,81563842,68074020,55675063,44765689,35339368,27215287,20286837,14556902,14556903,10016726,6583708,4125046,2467746,1426438,1426437,2467740,4125028,6583677,10016667,14556765,20286692,17554860,17554861,17578019,12406159,8384723,5410743,5410742,8384721,11544112,7680241,4859635,4859633,5399953,8366803,12381726,12394023,12394026,9075112,8622061,5605714,5605716,8622043,12691984,12383875,12383871,17546586,16195218,11257864,11257863,11618462,12376903,11618187,8274220,5338887,5338882,8274208,12251319,17385631,17552491,22878717,22878716,30276013,38860634,48780872,60175361,72912246,86508713,100466660,114491196,269639408,86508711,100466656,86508710,256752122,60175360,257317864,100466658,114491200,128367139,141714009,154362780,165466412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169986, s2 = 3196830, dlinesl.size( ) = 2 s1 = 11169986, s2 = 3196830, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11169986, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 2240410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16075319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16075319, s2 = 6985205, int(edited[s2]) = 0 s1 = 16075319, s2 = 6985205, d1 = 27, d2 = 65 Dl.O(d1) = 50145181 Dl.O(d2) = 260984903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16075319, s2 = 6985205, dlinesl.size( ) = 2 s1 = 16075319, s2 = 6985205, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16075319, Dl.E( ) = 100, 2.5e-05 seconds used appending s1 = 6762591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6762591, s2 = 8920268, int(edited[s2]) = 0 s1 = 6762591, s2 = 8920268, d1 = 8, d2 = 12 Dl.O(d1) = 258181225 Dl.O(d2) = 266475103,236288871,236288872,266633327,237117488,266475096,235381864,236288866,235381855,235381854,236288864,237117482,237873914,238562917,238562919,237873916,237873915,237873920,237873918,237117487,266475094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3528558, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16310361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067742, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13772379, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6599003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8029953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11281962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15914393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14597799, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11323366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323366, s2 = 10355521, int(edited[s2]) = 0 s1 = 11323366, s2 = 10355521, d1 = 2, d2 = 45 Dl.O(d1) = 80306055 Dl.O(d2) = 100806795,100806796,261235459,154748713,262767867,263589615,201541053,264535601,212272356,216235077,219520330,217735942,264644493,204254303,197774482,190169313,263736950,120929926,106677145,92372970,270017468,3839886,2300535,1334885,762396,254094421,245010,433725,433901,245067,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,433911,762738,762617,762616,763129,1336050,2302365,3842520,6141185,267812298,2352384,1362668,1362664,1341823,1341825,1362595,1362591,1341739,1341742,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,776575,774492,774488,1358679,2345530,3918364,6259088,9540557,254302908,9540557,13902359,19430210,26124659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323366, s2 = 10355521, dlinesl.size( ) = 36 s1 = 14090680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14590488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051627, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 845337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129363, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8308628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8308628, s2 = 12270440, int(edited[s2]) = 0 s1 = 8308628, s2 = 12270440, d1 = 52, d2 = 48 Dl.O(d1) = 256482212,73323863,73323865,73323864 Dl.O(d2) = 68100615,55702918,55702917,55660406,44752061,44752062,55660407,53459136,51355206,41169996,32355103,32355104,41169986,32355098,32355097,41169985,51355202,63036011,76018924,89795745,103896909,259306540,257444842,41170001,41170002,51355212,57855553,257404063,36632624,28158212,20978851,15067194,15067195,20978853,28158217,36632632,46499564,36632627,28158214,28158215,36632629,46499566,57855556,70557011,84093322,84093321,97966789,111903873,111903876,111903875,260486529,139059706,261900171,131439206,117638446,117638445,131439204,131439209,131439210,133692724,146953339,159334174,157060609,144662116,131439198,117638439 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14671473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14671473, s2 = 12612593, int(edited[s2]) = 0 s1 = 14671473, s2 = 12612593, d1 = 146, d2 = 223 Dl.O(d1) = 260069421 Dl.O(d2) = 17106492,12020605,8080231,5175782,3157123,1847858,1054541,1054542,1847862,254386047,5175780,5175779,8080229,12020601,10497536,10497535,15218294,21178561,254251016,46774464,58142283,70856530,70856529,255134770,58304420,46938408,37059940,28559067,21333054,17681425,12504444,8470659,7002456,4401124,4401125,7002458,10612078,15360140,12506335,8471961,5476189,3369808,1982945,1982946,3369816,5476206,7723913,4889034,4889033,7723908,11602712,12504863,17682045,17683744,12506148,8471915,8471914,12505416,8471335,5475821,5475387,3369643,1982853,1132560,635231,352514,352512,635223,1132535,1982800,3369558,5475756,8471227,12505257,17682574,24033762,19265655,19265656,15211492,15211493,21169544,24033759,31536347,28841999,21570745,21570746,28842003,37381803,37659473,36884819,32245466,24647290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14583281, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15355276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15355276, s2 = 6918600, int(edited[s2]) = 0 s1 = 15355276, s2 = 6918600, d1 = 28, d2 = 25 Dl.O(d1) = 27997036,27997037,254832170,12875302,8756128,8756129,10270836,14934413,20832922,27997152,36455553,32193448,24605155,18156714,12875352,8756159,8756161,12875358,18156724,22440060,22440059,27997143,20832919,20832918,27997138,35118493,27031736,20139096,20139097,27031739,27997128,20832911,20083534,14399657,9904549 Dl.O(d2) = 260080122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15355276, s2 = 6918600, dlinesl.size( ) = 2 s1 = 15355276, s2 = 6918600, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15355276, Dl.E( ) = 54, 3.91e-05 seconds used appending s1 = 15924047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2921639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2921639, s2 = 7249630, int(edited[s2]) = 0 s1 = 2921639, s2 = 7249630, d1 = 0, d2 = 42 Dl.O(d1) = 87017841 Dl.O(d2) = 264542957,216322222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2921639, s2 = 7249630, dlinesl.size( ) = 20 s1 = 14879698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14879698, s2 = 16392317, int(edited[s2]) = 0 s1 = 14879698, s2 = 16392317, d1 = 126, d2 = 124 Dl.O(d1) = 256441768,255499062,256441766,49272437,39346225,30746598,257024355,60672939,60672949,60672948,71467135,58737454,47349723,47349722,49272429,39346216,39346215,39346223,39346222,49272436,256819608,28903550,37443004,47349721 Dl.O(d2) = 582197,325529,325530,582198,1033054,1808764,3095717,3095715,1808763,1033053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 2922787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15236652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15236652, s2 = 14077257, int(edited[s2]) = 0 s1 = 15236652, s2 = 14077257, d1 = 1, d2 = 1 Dl.O(d1) = 10655344,268071437,21401534,28642547,37158225,47048771,269780571,84715255,84715256,98645766,112642612,126507393,139873096,152582875,164438813,175220119,184787816,273702287,263497425,200312162,206368440,211377131,215471146,265173443,219606018,219606017,265109070,212389882,264646892,201720483,194773606,186655007,177331450,166776450,155079390,142434969,129060900,115133033,101058404,87062715,74558214,73445300,60697411,257026097,30766903,23343669,17077582,11990956,268102473,23343667,30766901,34564928,34566287,34566175,254848054,254848052,30766900,34565541,34565542,43837720,39370374,30770013,26578725,23347015,22147709,16028720,11129340,7382081,7382082,11129342,10016064,10016065,14556188,20286086,27214442,30769411,30769410,39370245,43836018,34563312,26578378,268537239,34565090,255724289,14164797,14164798,19775818,19775411,19775410,26578152,34564926,26579412,19776502,19776503,19776508,19776509,26579423,23344581,23343964,23343963,30767168,23346283,23346282,26576193,26576192,26578243,19775495,14164589,14164586,255127668,30768064,25135276,25135277,30768887,26579704,21986746,15890500,11015814,11015815,11015833,11015832,15890533,19775726,14164732,9738179,9738178,14164727,19775708,14164720,9738173,6403708,4017749,2407561,1393089,1393090,2407566,4017753,6403717,9738189,14164752,19775758,26578548,34565219,26578742,19775923,14164856,9738247,9738249,8355702,8355704,12365729,17503476,17503477,19775553,19775552,26576247,22519645,16346217,16346216,22519643,29876584,38435494,39390492,49296463,43836128,34563549,26576756,26576754,25888664,19228957,13736789,9410832,9410831,13736787,19228952,25888659,33694961,267914084,254280820,23149516,17422166,17422167,23747614,31231454,24122990,23758026,17430922,15487100,10709560,7075253,4454397,2675903,1550013,881213,497244,497248,881227,1550041,2675953,4454495,7075418,10709830,15487471,12555853,12555855,12555857,17745176,24103706,31604558,24101549,17743009,12554256,8511829,8511830,11379360,8501178,5502685,5502684,8501171,12540249,12300881,8308086,5360651,3295362,3295365,5360659,5513603,8515377,8263024,5331080,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355434,8301320,254184712,17743060,12554298,12554299,10411699,10411700,15096303,17742105,12624703,8570759,5566630,5566629,8570757,12624699,9410616,9410615,13736497,9410703,6165740,6165739,8275398,5339583,3282070,3282069,3281934,3281932,5339300,5356992,5356993,8275332,7393734,7393735,8302818,8302977,12293456,13737567,17902025,16176975,11560646,11560647,16580465,17450609,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578169,4311592,6869616,10420604,15108244,21034457,23788512,17745647,17745648,24104165,31606580,39851606,31199621,24187705,17819192,17819191,23041493,17902084,12681695,8613373,5598700,3858095,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282019,3282018,5339471,8275235,12252937,17387845,23711378,24155955,17788875,12590644,12590643,12555571,8512630,5511665,254276963,1145539,642593,356660,195415,106698,106695,195405,254093892,1145485,2003892,3399033,5511284,8511863,12554308,12629181,12629180,17834890,17741659,12553260,8511209,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,3281934,1930325,1102845,1102844,1930322,3281920,267899646,17387477,23711001,24181149,24101426,17742888,17742887,12613872,12613874,17816226,17740639,12552514,12552513,11379369,7560127,4780493,2880805,1671699,951058,536309,536310,254167989,2880819,2880256,2880257,4779402,7558300,11370899,7554208,4777026,4777027,7554213,11026758,11375162,11375164,16347545,16348329,16348326,17343548,12217108,12217109,12173602,8205680,8205683,7545973,7545974,11357718,254395512,5319281,8247459,12009370,12009511,8066691,5160466,5160463,8066688,12009507,17096239,23365110,23365109,30791098,29846936,29846935,22492690,16319321,15142405,10443620,10443621,15142407,16342721,22516218,29873862,268419242,38417699,38392554,29820258,22452913,16283676,16283675,15920020,11042417,7316991,4619074,4619072,7316988,11042409,15920014,22021162,29352475,23439493,22518254,22476603,22476602,22022885,15921784,11044512,7319354,4621097,4621096,7319350,11044506,254718942,10470402,6903214,6903213,10470401,15179879,21128280,27015645,35102293,28303705,23586832,17274685,17274687,17258843,12138922,8168716,8168717,12138924,17258849,23570071,17321389,12196471,8226758,8226759,12196474,16355460,16355458,17321406,17316367,17316365,22515166,16341970,15546931,10752564,10752562,7554042,4776940,4776937,7554031,6525224,6525225,9928662,14433771,20125585,21569203,23607812,23607811,31091646,29856275,22491690,22491691,22511928,16338031,12350343,8344189,5385679,3311768,3311770,5385682,8344191,12350345,16344105,16344104,22517525,29871073,23647856,23647855,22006773,254395076,11027457,7553420,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545210,5280951,5280946,8210073,12178439,13851409,13851407,19364851,22488619,16315810,16315809,17264094,17264093,23575524,17328116,12203176,12203175,17325732,22481418,23304520,17043816,11956721,8214879,5285405,5227760,5227759,7544931,7544932,11355936,16321903,22487525,21294317,15327833,10586688,6983851,6983852,10586692,267995182,254396324,22083999,22083998,29414243,29845760,29845761,22495257,16321468,16321469,22495259,22010117,15977343,11091411,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,28287587,22018419,22018418,28287239,28287237,28312191,29350631,29350651,254760098,22019102,15917906,15917907,22019106,29350715,28518545,28518544,37016815,29353894,22022749,15921642,11044401,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,7826035,11723587,16769547,22972639,22972596,22972595,254262998,29347350,22015308,22015307,23571090,267771088,8169416,8169415,12139905,17259987,17513450,12349869,254132532,4613962,4613961,4826292,2908451,2908453,2908512,1687333,1687332,2908510,4826417,4773863,4773862,7548411,11361600,267832464,23857962,17514863,17514862,22394146,22394147,16339086,11368387,7552687,4776202,4776201,7552684,7549261,254105230,254105228,4774781,2877872,1670275,950381,536013,300570,300571,536014,950385,1670287,2877897,4774714,2877827,2877826,4774711,7550059,11364157,16333622,11364428,11364427,15579050,15579049,11364691,11364690,11035662,7310228,7310227,8203982,5275141,5275142,8203983,12171815,16712456,16327867,11359518,7547088,4773159,2877078,2877076,4605609,4605607,4774754,4774755,7123606,4485199,4485198,4773306,2877159,1669950,950228,950229,1610842,2776797,4611863,254346660,15911690,11366741,7551668,7546593,4772888,2876947,1669853,1669852,2876941,4772882,7546586,11358671,16326688,22500859,29863185,22670662,17180545,17180546,23459030,30891765,30029246,29863182,29863183,30581607,23163990,16901603,16901606,23163995,22419364,22419365,29784771,22670665,22670664,29784869,22655304,16462585,11470409,7629609,4827121,4827120,5231835,3192929,254389967,255135732,13427339,13427340,18845873,23558021,254394860,28309975,28309974,36806816,38602744,48517535,59910708,59910706,59910705,59712567,48325641,38416262,29846752,29846751,38416261,48325640,38416266,29846754,22480735,16309523,16309524,17512874,12349384,8343569,5385335,5385336,8343570,12349385,17512878,16305971,11345266,11345265,11976070,254567425,3103715,1813510,1035590,1035589,1813507,3103711,3098445,3098446,5104127,5147973,3132602,3132603,5147975,8056811,11165628,8030970,5120200,5120201,5104399,5104398,5125879,5125878,3154358,1845763,1053297,1053294,1845762,3154357,3109624,3109623,5119092,7522170,7406021,4756047,4756049,5112220,8023239,8048804,8057380,5148757,5148758,5175864,8080373,11331418,8015781,5170659,3152658,1844657,1844660,3152660,3158284,5177093,7868046,8072059,8078475,8074842,5174697,5131609,3119626,1823288,1823287,3119622,5131603,8041164,5176100,5176103,4755573,4755259,2865958,1663384,1663386,1042133,1042134,1825659,3123384,5136592,5140980,5140978,3134968,3134967,5150624,8041856,8015479,8015480,8012462,5100912,3119566,3119567,3137437,3137436,3147908,3147907,5165677,8071866,8074319,8057602,5149012,5149013,8057604,8061043,8061044,8017826,5106410,5106409,5138804,267902749,8158742,267840723,1867661,1867662,3190599,1867261,1065152,267770431,267840697,11987936,11985635,8035740,5125557,3114640,3114639,5103842,8015480,8012462,5100912,3119566,3119567,3137437,3137436,3147908,3147907,5165676 Dl.O(d2) = 10655344,268071437,21401534,28642547,37158225,47048771,269780571,84715255,84715256,98645766,112642612,126507393,139873096,152582875,164438813,175220119,184787816,273702287,263497425,200312162,206368440,211377131,215471146,265173443,219606018,219606017,265109070,212389882,264646892,201720483,194773606,186655007,177331450,166776450,155079390,142434969,129060900,115133033,101058404,87062715,74558214,73445300,60697411,257026097,30766903,23343669,17077582,11990956,268102473,23343667,30766901,34564928,34566287,34566175,254848054,254848052,30766900,34565541,34565542,43837720,39370374,30770013,26578725,23347015,22147709,16028720,11129340,7382081,7382082,11129342,10016064,10016065,14556188,20286086,27214442,30769411,30769410,39370245,43836018,34563312,26578378,268537239,34565090,255724289,14164797,14164798,19775818,19775411,19775410,26578152,34564926,26579412,19776502,19776503,19776508,19776509,26579423,23344581,23343964,23343963,30767168,23346283,23346282,26576193,26576192,26578243,19775495,14164589,14164586,255127668,30768064,25135276,25135277,30768887,26579704,21986746,15890500,11015814,11015815,11015833,11015832,15890533,19775726,14164732,9738179,9738178,14164727,19775708,14164720,9738173,6403708,4017749,2407561,1393089,1393090,2407566,4017753,6403717,9738189,14164752,19775758,26578548,34565219,26578742,19775923,14164856,9738247,9738249,8355702,8355704,12365729,17503476,17503477,19775553,19775552,26576247,22519645,16346217,16346216,22519643,29876584,38435494,39390492,49296463,43836128,34563549,26576756,26576754,25888664,19228957,13736789,9410832,9410831,13736787,19228952,25888659,33694961,267914084,254280820,23149516,17422166,17422167,23747614,31231454,24122990,23758026,17430922,15487100,10709560,7075253,4454397,2675903,1550013,881213,497244,497248,881227,1550041,2675953,4454495,7075418,10709830,15487471,12555853,12555855,12555857,17745176,24103706,31604558,24101549,17743009,12554256,8511829,8511830,11379360,8501178,5502685,5502684,8501171,12540249,12300881,8308086,5360651,3295362,3295365,5360659,5513603,8515377,8263024,5331080,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355434,8301320,254184712,17743060,12554298,12554299,10411699,10411700,15096303,17742105,12624703,8570759,5566630,5566629,8570757,12624699,9410616,9410615,13736497,9410703,6165740,6165739,8275398,5339583,3282070,3282069,3281934,3281932,5339300,5356992,5356993,8275332,7393734,7393735,8302818,8302977,12293456,13737567,17902025,16176975,11560646,11560647,16580465,17450609,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578169,4311592,6869616,10420604,15108244,21034457,23788512,17745647,17745648,24104165,31606580,39851606,31199621,24187705,17819192,17819191,23041493,17902084,12681695,8613373,5598700,3858095,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282019,3282018,5339471,8275235,12252937,17387845,23711378,24155955,17788875,12590644,12590643,12555571,8512630,5511665,254276963,1145539,642593,356660,195415,106698,106695,195405,254093892,1145485,2003892,3399033,5511284,8511863,12554308,12629181,12629180,17834890,17741659,12553260,8511209,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,3281934,1930325,1102845,1102844,1930322,3281920,267899646,17387477,23711001,24181149,24101426,17742888,17742887,12613872,12613874,17816226,17740639,12552514,12552513,11379369,7560127,4780493,2880805,1671699,951058,536309,536310,254167989,2880819,2880256,2880257,4779402,7558300,11370899,7554208,4777026,4777027,7554213,11026758,11375162,11375164,16347545,16348329,16348326,17343548,12217108,12217109,12173602,8205680,8205683,7545973,7545974,11357718,254395512,5319281,8247459,12009370,12009511,8066691,5160466,5160463,8066688,12009507,17096239,23365110,23365109,30791098,29846936,29846935,22492690,16319321,15142405,10443620,10443621,15142407,16342721,22516218,29873862,268419242,38417699,38392554,29820258,22452913,16283676,16283675,15920020,11042417,7316991,4619074,4619072,7316988,11042409,15920014,22021162,29352475,23439493,22518254,22476603,22476602,22022885,15921784,11044512,7319354,4621097,4621096,7319350,11044506,254718942,10470402,6903214,6903213,10470401,15179879,21128280,27015645,35102293,28303705,23586832,17274685,17274687,17258843,12138922,8168716,8168717,12138924,17258849,23570071,17321389,12196471,8226758,8226759,12196474,16355460,16355458,17321406,17316367,17316365,22515166,16341970,15546931,10752564,10752562,7554042,4776940,4776937,7554031,6525224,6525225,9928662,14433771,20125585,21569203,23607812,23607811,31091646,29856275,22491690,22491691,22511928,16338031,12350343,8344189,5385679,3311768,3311770,5385682,8344191,12350345,16344105,16344104,22517525,29871073,23647856,23647855,22006773,254395076,11027457,7553420,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974897,7837317,11375111,12217255,17343721,20127138,14435212,14435211,16310668,21664236,15628597,10814883,10814887,7545294,4772176,4772174,7545286,11351556,11351558,7545209,7545210,5280951,5280946,8210073,12178439,13851409,13851407,19364851,22488619,16315810,16315809,17264094,17264093,23575524,17328116,12203176,12203175,17325732,22481418,23304520,17043816,11956721,8214879,5285405,5227760,5227759,7544931,7544932,11355936,16321903,22487525,21294317,15327833,10586688,6983851,6983852,10586692,267995182,254396324,22083999,22083998,29414243,29845760,29845761,22495257,16321468,16321469,22495259,22010117,15977343,11091411,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,28287587,22018419,22018418,28287239,28287237,28312191,29350631,29350651,254760098,22019102,15917906,15917907,22019106,29350715,28518545,28518544,37016815,29353894,22022749,15921642,11044401,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,7826035,11723587,16769547,22972639,22972596,22972595,254262998,29347350,22015308,22015307,23571090,267771088,8169416,8169415,12139905,17259987,17513450,12349869,254132532,4613962,4613961,4826292,2908451,2908453,2908512,1687333,1687332,2908510,4826417,4773863,4773862,7548411,11361600,267832464,23857962,17514863,17514862,22394146,22394147,16339086,11368387,7552687,4776202,4776201,7552684,7549261,254105230,254105228,4774781,2877872,1670275,950381,536013,300570,300571,536014,950385,1670287,2877897,4774714,2877827,2877826,4774711,7550059,11364157,16333622,11364428,11364427,15579050,15579049,11364691,11364690,11035662,7310228,7310227,8203982,5275141,5275142,8203983,12171815,16712456,16327867,11359518,7547088,4773159,2877078,2877076,4605609,4605607,4774754,4774755,7123606,4485199,4485198,4773306,2877159,1669950,950228,950229,1610842,2776797,4611863,254346660,15911690,11366741,7551668,7546593,4772888,2876947,1669853,1669852,2876941,4772882,7546586,11358671,16326688,22500859,29863185,22670662,17180545,17180546,23459030,30891765,30029246,29863182,29863183,30581607,23163990,16901603,16901606,23163995,22419364,22419365,29784771,22670665,22670664,29784869,22655304,16462585,11470409,7629609,4827121,4827120,5231835,3192929,254389967,255135732,13427339,13427340,18845873,23558021,254394860,28309975,28309974,36806816,38602744,48517535,59910708,59910706,59910705,59712567,48325641,38416262,29846752,29846751,38416261,48325640,38416266,29846754,22480735,16309523,16309524,17512874,12349384,8343569,5385335,5385336,8343570,12349385,17512878,16305971,11345266,11345265,11976070,254567425,3103715,1813510,1035590,1035589,1813507,3103711,3098445,3098446,5104127,5147973,3132602,3132603,5147975,8056811,11165628,8030970,5120200,5120201,5104399,5104398,5125879,5125878,3154358,1845763,1053297,1053294,1845762,3154357,3109624,3109623,5119092,7522170,7406021,4756047,4756049,5112220,8023239,8048804,8057380,5148757,5148758,5175864,8080373,11331418,8015781,5170659,3152658,1844657,1844660,3152660,3158284,5177093,7868046,8072059,8078475,8074842,5174697,5131609,3119626,1823288,1823287,3119622,5131603,8041164,5176100,5176103,4755573,4755259,2865958,1663384,1663386,1042133,1042134,1825659,3123384,5136592,5140980,5140978,3134968,3134967,5150624,8041856,8015479,8015480,8012462,5100912,3119566,3119567,3137437,3137436,3147908,3147907,5165677,8071866,8074319,8057602,5149012,5149013,8057604,8061043,8061044,8017826,5106410,5106409,5138804,267902749,8158742,267840723,1867661,1867662,3190599,1867261,1065152,267770431,267840697,11987936,11985635,8035740,5125557,3114640,3114639,5103842,8015480,8012462,5100912,3119566,3119567,3137437,3137436,3147908,3147907,5165676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15236652, s2 = 14077257, dlinesl.size( ) = 2 s1 = 15236652, s2 = 14077257, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15236652, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 16012507, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15069657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14591497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14591497, s2 = 6481876, int(edited[s2]) = 0 s1 = 14591497, s2 = 6481876, d1 = 106, d2 = 59 Dl.O(d1) = 114320283,128203508,141560073,154221406,142511196,129133974,115202432,257561392,73507744,73507745 Dl.O(d2) = 255036324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14591497, s2 = 6481876, dlinesl.size( ) = 52 s1 = 15446487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9450859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1561591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1561591, s2 = 6680095, int(edited[s2]) = 0 s1 = 1561591, s2 = 6680095, d1 = 0, d2 = 13 Dl.O(d1) = 39484066,49413886,60814102,73560481,87178203 Dl.O(d2) = 257252760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1561591, s2 = 6680095, dlinesl.size( ) = 2 s1 = 1561591, s2 = 6680095, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1561591, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 14123365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123365, s2 = 7831596, int(edited[s2]) = 0 s1 = 14123365, s2 = 7831596, d1 = 10, d2 = 12 Dl.O(d1) = 258894998 Dl.O(d2) = 254601174,30907168,23471934,17190714,17190715,23471942,30907190,29049554,29049557,37597378,47501237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123365, s2 = 7831596, dlinesl.size( ) = 18 s1 = 2613273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2613273, s2 = 8708291, int(edited[s2]) = 0 s1 = 2613273, s2 = 8708291, d1 = 7, d2 = 9 Dl.O(d1) = 73601899,87224180 Dl.O(d2) = 186770494,194875839,200915316,263721307,180915040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2613273, s2 = 8708291, dlinesl.size( ) = 2 s1 = 2613273, s2 = 8708291, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2613273, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3224166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3224166, s2 = 6631343, int(edited[s2]) = 0 s1 = 3224166, s2 = 6631343, d1 = 8, d2 = 16 Dl.O(d1) = 101545130 Dl.O(d2) = 256738546,49785322,40131585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3224166, s2 = 6631343, dlinesl.size( ) = 12 s1 = 6767578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14905842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16203737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6768021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6768021, s2 = 14006256, int(edited[s2]) = 0 s1 = 6768021, s2 = 14006256, d1 = 66, d2 = 111 Dl.O(d1) = 258239347 Dl.O(d2) = 231088452,266205669,234640229,235616683,236506513,274729074,236506514,237318494,237318488,236506511,235616679,274718417,266651153,238057790,266745454,238057792,238057791,238729749,238729753,238729752,238729750,238729751,266842975,240439835,266966018,240439834,240439829,240439831,240927101,241378199,267053826,241378201,241378200,241796235,274879668,240927105,240439833,239914817,266745456,238729749,239346898,274850880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6768021, s2 = 14006256, dlinesl.size( ) = 18 s1 = 6920204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15518845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14581417, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6768227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6768227, s2 = 8132729, int(edited[s2]) = 0 s1 = 6768227, s2 = 8132729, d1 = 59, d2 = 74 Dl.O(d1) = 258241631 Dl.O(d2) = 20337967,16605253,16605254,22826131,30218534,267981592,20337960,255115748,44826604,48290994,48290995,42834993,33799192,33799193,42835002,38380910,29808842,29808841,38380904,30868821,23440576,23440578,29808504,22441926,16273697,11315857,7513451,4749582,4749580,7513446,11315844,16273674,22441884,16273708,11315863,11315862,16273705,22441937,21440375,15445020,10678289,10678287,15445011,21440355,16273654,16273652,22441862,17166950,12070710,12070709,17166945,23440539,29808459,22441875,22441874,29808458,33408656,33408662,33408661,38380215,29808316,29808315,29808464,25546354,25546353,33307918,30868864,30868866,39472297,38380858,38380479,29808517,29808516,38380476,48291160,38380469,38380435,38380436,38380488,29808524,29808522,22442239,22442240,22442179,22442180,29808849,256952785,59678225,257614450,60801373,73548391,257155444,258356808,76367221,76367222,81270995,71879220,71879221,85464053,95330087,109585304,109585306,123775650,114325873,114325872,270283930,98465151,84543063,70979691,70979692,84543065,72736086,59999140,59999139,67803476,55461925,44613341,44613340,55461923,67803469,67803478,67803477,81271001,85464061,71879229,59140909,47742217,47742216,59140907,71879226,81062481,84543072,95120022,81062502,67594744,55253125,44405286,44405287,55253130,67594748,81062510,81270914,81270915,95319509,95319511,95330075,87166859,81270983,81270844,81270843,95330009,85826671,72234229,72234233,258053140,44613381,269052486,67803507,58491024,47742248,47742249,269801083,85464081,271305271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6768227, s2 = 8132729, dlinesl.size( ) = 40 s1 = 6922609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6922609, s2 = 14162223, int(edited[s2]) = 0 s1 = 6922609, s2 = 14162223, d1 = 40, d2 = 42 Dl.O(d1) = 260125836 Dl.O(d2) = 8917551,6011580,6011578,6251611,9271490,8934470,8934468,10621008,254464396,6387147,6387148,9709345,7009455,7009456,10621007,15370989,21346146,28574747,37078389,46958792,37409228,28868075,21593399,15566835,10767237,7114112,4479161,2691206,1559037,1559038,2691213,4479174,7114141,7114097,7114095,10767201,268210639,28867970,257460575,37409194,28868035,28868036,28069530,20898257,20898258,28069532,36536427,46397364,57748184,70443334,77899233,64710676,52796886,256658817,25641513,25641514,33408175,42397290,52796890,64710682,77899236,91820475,106015407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6922609, s2 = 14162223, dlinesl.size( ) = 22 s1 = 16373147, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15517211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14094760, s2 = 9388347, int(edited[s2]) = 0 s1 = 14094760, s2 = 9388347, d1 = 3, d2 = 11 Dl.O(d1) = 85828501 Dl.O(d2) = 31196346,268992259,61379524,260110061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14094760, s2 = 9388347, dlinesl.size( ) = 2 s1 = 14094760, s2 = 9388347, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14094760, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14604879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2939831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2940597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16056543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16056543, s2 = 9501565, int(edited[s2]) = 0 s1 = 16056543, s2 = 9501565, d1 = 67, d2 = 69 Dl.O(d1) = 81121387,67654869,55315434,44469480 Dl.O(d2) = 116786742,130611536,143919021,273178813,167989668,178403106,187593903,265058905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16056543, s2 = 9501565, dlinesl.size( ) = 2 s1 = 16056543, s2 = 9501565, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16056543, Dl.E( ) = 70, 3.79e-05 seconds used appending s1 = 8200723, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3233137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3233137, s2 = 10605690, int(edited[s2]) = 0 s1 = 3233137, s2 = 10605690, d1 = 7, d2 = 0 Dl.O(d1) = 101771013 Dl.O(d2) = 13824814,19332859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3233137, s2 = 10605690, dlinesl.size( ) = 2 s1 = 3233137, s2 = 10605690, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3233137, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 2942668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2942668, s2 = 7196153, int(edited[s2]) = 0 s1 = 2942668, s2 = 7196153, d1 = 0, d2 = 34 Dl.O(d1) = 87820234 Dl.O(d2) = 263870650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2942668, s2 = 7196153, dlinesl.size( ) = 40 s1 = 14866156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13409435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13409435, s2 = 9179985, int(edited[s2]) = 0 s1 = 13409435, s2 = 9179985, d1 = 6, d2 = 15 Dl.O(d1) = 101886052,87911666,87911665 Dl.O(d2) = 98357603,112340172,101235979,87235688,87235689,101235982,115314415,129242754,142505967,139512677,126137813,119126788,119126787,126215423,112355759,98373617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13409435, s2 = 9179985, dlinesl.size( ) = 2 s1 = 13409435, s2 = 9179985, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13409435, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 14537847, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2947506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2947506, s2 = 6904005, int(edited[s2]) = 0 s1 = 2947506, s2 = 6904005, d1 = 4, d2 = 57 Dl.O(d1) = 87920341 Dl.O(d2) = 259930824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2947506, s2 = 6904005, dlinesl.size( ) = 12 s1 = 6770542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6770542, s2 = 13906235, int(edited[s2]) = 0 s1 = 6770542, s2 = 13906235, d1 = 11, d2 = 13 Dl.O(d1) = 258262401 Dl.O(d2) = 265896843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6770542, s2 = 13906235, dlinesl.size( ) = 2 s1 = 6770542, s2 = 13906235, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6770542, Dl.E( ) = 30, 8.11e-06 seconds used appending s1 = 2948485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2948485, s2 = 7521753, int(edited[s2]) = 0 s1 = 2948485, s2 = 7521753, d1 = 30, d2 = 177 Dl.O(d1) = 87944832 Dl.O(d2) = 267456609,275015006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2948485, s2 = 7521753, dlinesl.size( ) = 40 s1 = 16053855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13764161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16186631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3243436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3243436, s2 = 10552879, int(edited[s2]) = 0 s1 = 3243436, s2 = 10552879, d1 = 0, d2 = 22 Dl.O(d1) = 102029111 Dl.O(d2) = 3739648,254442679,9138799,268142115,255847831,255256693,13373222,12480735,12480734,17651445,23989867,17650476,12479415,8450243,5458414,3355901,3355903,5458416,5449359,5449358,8439619,5459527,5459528,8451644,8439570,5449330,5449331,8421481,8421466,8421467,12453182,12682278,8613932,8613933,8614019,8408479,8408480,12440139,12440146,12457000,12437540,12437541,17619378,12470496,12469560,8449157,8449158,12478535,12433997,8403404,8403406,12434003,17615878,12442736,12442735,12440019,8443788,5452741,3352091,3352092,5452745,8443799,12474158,8449750,5457927,3355518,3355517,5457924,8449742,8443578,5452552,5452551,254860663,254860529,5451718,268639998,3355511,1972630,1126235,631592,350650,350653,631599,1121813,629349,629351,1121822,1964076,3337156,5428601,5452690,5452693,5428433,5428429,5446146,3350610,3338969,3338972,5431686,5431651,5431652,8411756,5428337,5428340,8411766,8423000,8208671,5279742,3233274,3233276,5279751,5436365,5424152,3334447,1961088,1961087,3334425,3334422,3343346,3343345,5438711,3344209,3344210,1972006,1125918,631410,631409,1125914,1972000,3339730,1963950,1963951,3339732,5432862,8410833,5440757,3344624,1966692,1123234,630079,349894,349895,630081,1123239,1966702,1966714,3344664,5426619,8409450,12441111,12441318,8414509,5446354,3348157,1968594,1968593,3348153,5446348,8435569,8431867,8431866,8428298,5440636,5440639,3344688,1966728,1123249,1123250,1621302,1621301,2795220,3350362,3350426,254407093,5450145,8440680,5450132,5450133,8440670,5599569,3475826,2062339,1966190,1122967,1122966,1966188,3343743,5439353,8413335,5429508,3337696,3334917,1961346,1961345,3334915,5424931,8407032,12438540,8416710,8416709,8449263,8417129,5432177,3339427,1963774,1121649,629267,629268,1121651,1963780,3339440,3347553,1968256,1968257,3347554,5445384,8434440,12445657,11234325,7455500,4710762,2837870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3243436, s2 = 10552879, dlinesl.size( ) = 2 s1 = 3243436, s2 = 10552879, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3243436, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 14901629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2953938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2953938, s2 = 6619638, int(edited[s2]) = 0 s1 = 2953938, s2 = 6619638, d1 = 7, d2 = 25 Dl.O(d1) = 88073789 Dl.O(d2) = 256614089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2953938, s2 = 6619638, dlinesl.size( ) = 2 s1 = 2953938, s2 = 6619638, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2953938, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 3244996, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14086260, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8141335, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8204037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8204037, s2 = 8324299, int(edited[s2]) = 0 s1 = 8204037, s2 = 8324299, d1 = 42, d2 = 47 Dl.O(d1) = 23424515,30855465,30229386,30229388,30229397,255498823,16615680,22837342,30229396,38812168,42072778,42072777,52416566,50294573,50294572,258280421 Dl.O(d2) = 64189016,52338806,41999600,41999599,52338721,41999608,33056147,33056146,41999606,41999587,41999529,33056083,25327487,18748433,18748434,25327490,33056086,257187819,64188927,77336019,257837557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8204037, s2 = 8324299, dlinesl.size( ) = 2 s1 = 8204037, s2 = 8324299, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8204037, Dl.E( ) = 60, 2.6e-05 seconds used appending s1 = 2958293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3248525, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3021521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3021521, s2 = 6797491, int(edited[s2]) = 0 s1 = 3021521, s2 = 6797491, d1 = 35, d2 = 33 Dl.O(d1) = 91692348,102166798 Dl.O(d2) = 258633003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3021521, s2 = 6797491, dlinesl.size( ) = 2 s1 = 3021521, s2 = 6797491, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3021521, Dl.E( ) = 52, 1.5e-05 seconds used appending s1 = 6438599, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15523509, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15069645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8250364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2964106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1675141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1675141, s2 = 9375501, int(edited[s2]) = 0 s1 = 1675141, s2 = 9375501, d1 = 23, d2 = 188 Dl.O(d1) = 42426247,52830493,64749928,257846326 Dl.O(d2) = 89390389,75629056,62684046,62684047,75629053,62684044,51053281,40911357,32133565,32133566,257128871,62684048,75629059,89390393,103484603,117615054,131415883,144638628,157036767,157036766,157036767,168483812 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2791790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 520909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 520909, s2 = 772958, int(edited[s2]) = 0 s1 = 520909, s2 = 772958, d1 = 20, d2 = 23 Dl.O(d1) = 13282981,18118729,17488881,12331020,8330034,7369078,4655266,2804482,2804483,4655270,7369085,11110911,16004389,18118771,18120830,16004561,16004562,22117718,29451531,33077252,25347015,25347016,32140109,32140111,40914603,255164064,62686931,51057914,51057913,40918550,268242270,42210413,50521770,256999112 Dl.O(d2) = 2423366,4047988,2423733,2423730,4049288,6447269,6447266,9810509,14276652,19933515,26787074,34831965,44175230,49677452,49677453,39672991,39672994,49677520,58580408,49687711,49687712,58574386,58574389,67778178,67778177,67044806,54768687,44006484,34717317,26713988,26713985,34717307,44006458,42843496,41567112,41567115,42843512,42843513,53304532,43819015,256196081,19769943,19769944,26569728,34552693,43819060,54555548,66408865,66408867,66807885,54555339,259758143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 520909, s2 = 772958, dlinesl.size( ) = 22 s1 = 9514627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9514627, s2 = 14349795, int(edited[s2]) = 0 s1 = 9514627, s2 = 14349795, d1 = 12, d2 = 16 Dl.O(d1) = 130383080,116544993,259543799,258296087,62017913,50526163,256555517,31795642,40490546,40490547 Dl.O(d2) = 255595327,268264577,31795643,40490549,50526167,42644265,33617285,25817296,19167629,13901122,9539641,6258414,3917905,2345234,2312829,1341719,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1382032,1382028,2321702,2301891,1362689,1362686,2313197,2313196,3861206,6140351,254302796,9415132,9415133,254450254,254932816,53179430,268301702,254932818,254932816,256145050,92484378,257217888,92484379,106791757,121047501,259052308,134847440,134847435,121047498,258425156,121047495,121047494,134847432,259679244,262488046,263731966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9514627, s2 = 14349795, dlinesl.size( ) = 8 s1 = 14918987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7670058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14119985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119985, s2 = 16098138, int(edited[s2]) = 0 s1 = 14119985, s2 = 16098138, d1 = 40, d2 = 60 Dl.O(d1) = 150353267,162486317,165917554,154156573,154156572,165917551,176565716,185989553,191892237,184118058,175312595,175312596,184866259,193209099,200369993,206419438,201641922,194664980,186518864,177172001,177171999,170056708,158699477,146331210,133103980,123580889,109388877,109388879,123580899,137312231,150353111,162486148,152707623,152707622,162486386,162486385,162486389,162486390,173523327,173523326,177171879,166599304,154899523,154899522,156282547,143757632,130431076,116589306,102487737,260160873,130431073,143757630,262844721,262844725,187504470,191892195,263173918,186152048,262826646,166108323,176742898,186152052,194352301,193209098,193209099,200174308,192981733,184865831,175312041,175312043,184865834,186188360,176792282,176792283,186188362,193209026,184866169,175312497,164547126,152707801,152707802,143537273,261849550,138119790,126656455,114550389,114550388,128434372,125716561,111899083,111899082,125716553,139055479,143757565,152296684,141788584,139566574,139566572,152296334,152296335,159143490,146768927,262456875,170056634,170056624,262262484,170056628,162486050,150353009,150353008,162486048,173523449,262262482,181829061,187364667,178132997,167674992,156070981,143537266,261856797,167674990,178132996,170056599,158699380,146331135,133103922,133103921,146331133,158699376,170056595,180219949,189157574,196897408,263704422,262913814,199081810,203521132,196897423,189157605,180219977,170056621,170056622,180219979,260576808,259358398,139879114,139879115,152588442,164444020,175224987,184792325,187364680,261703074,184597473,174996060,174996061,174996044,164179922,152296322,152296321,156071003,143537279,130211263,130211262,126513809,112649433,98653124,98653123,112649432,126513807,139879113,152588438,259976652,130211245,116376618,102287233,88294267,88294268,102287236,116376622,130211248,143537251,156070950,167674960,167675068,156071074,261314793,130211318,143537349,156071078,167675072,166108306,166108307,261849560,152707516,152707515,261849558,162486067,162486066,173523464,273134022,263565086,214874446,263565084,262738734,262262456,173523417,173523416,183323857,191892000,183323767,183323768,191892001,186518763,262738710,154899546,142265622,142265621,154899543,166599322,262826764,166599336,164546970,152707656,152707655,164179332,174995548,176791960,166171426,154435336,141787974,141787973,141787979,128434458,128434457,141787976,154435337,166171427,273365821,264247087 Dl.O(d2) = 212178685,274085987,206247565,264288894,263637000,177172019,166599503,166599502,175250189,260942970,139909406,139909405,152617313,164471027,174995662,184597143,192569030,192569031,199841406,200174413,200174412,206247566,200174430,192981920,184597441,261839700,152296239,152296240,163632405,151757192,139055314,125716425,111899010,111899009,125716428,125716543,111899073,97961542,84087608,70550690,70550689,84087602,97961537,111899063,125716528,272516395,163632544,174468958,184118033,263174314,184308359,177172043,176568189,262263157,154159786,165920560,176568191,174469060,163632661,151757430,139055544,125716597,111899102,260486105,139055551,151757436,163632671,174469072,184118129,273979500,211070631,210659309,205499658,199262891,199262855,263173730,177171942,166599403,154899625,142265693,142265692,261748748,162485850,260024070,137312020,271815424,173523267,176792298,176792299,262694208,184597891,186188981,262738682,183051431,173523370,162485960,162485959,173523369,178033193,167566175,167566174,263253225,194380480,262738678,166171788,154435684,141788253,141788255,154435686,166171792,176792288,186188365,192982147,192982142,184597744,263484879,185989073,176565081,165916824,165916823,176565079,180220039,176792039,176792042,173523585,173523584,173523322,261748786,183323782,183323781,184597543,183323797,183323798,183323918,183323919,180220071,170056702,158699473,146331209,133103977,123580904,109388883,109388884,123580899,137312231,150353111,162486147,162486396,162486395,173523355,162485951,261201734,183323808,187364770,195400096,194380615,186188505,176792474,176792475,261749466,166599198,166599200,166599192,166599193,173523267,176792298,176792299,262694208,184597891,186188981,262738682,183051431,179584540,179584541,188609799,191661921,191661932,183051442,183051443,191661933,262739232,178133105,260625186,259407006,102287283,88294297,88294296,102287282,258781716,142265932,154899874,162486670,173523756,261201844,150353137,147064237,271608268,164179251,152295675,152295676,261749456,263208581,272964716,261396648,115012323,100958029,86973718,73362171,60617294,49216581,39289951,39289950,49216577,60617291,73362164,86973704,260071773,260942944,260942942,175250127,183051482,183051481,173199527,164180457,152296806,139566665,139566664,152296801,140010876,140010877,149886608,260970257,122913163,122913164,122913165,126191018,112330487,98347312,270387894,98347305,98347304,112330469,126190989,139566224,142265705,128914170,128914173,142265711,139566035,126190848,126190849,139566036,262262782,154435465,141788065,128434521,260724714,261769441,128434994,114550846,114550845,128434993,141788687,154436167,166172226,263190205,184597024,174995529,174995530,175311976,175311977,184865782,193208759,273748426,201641964,263690378,262897098,154899830,142265883,128914314,115012324,115012325,128914315,142265884,152707825,162486258,260024118,137312314,260346860,260942936,139909335,260942938,262043024,260942930,152617217,164470912,175250093,184596967,187504575,178298710,167867017,261870375,143757774,154436539,141789043,128435271,114551057,114551058,128435274,261769487,166172555,262089514,148419360,160680096,171865600,261201884,152296265,261297340,112330494,98347318,84437623,84437622,98347316,112330468,112330469,126190989,139566224,142265705,128914170,128914173,142265711,139566035,126190848,126190849,139566039,152295978,152295715,139565807,126190673,126190672,139565805,152295709,164179294,164546821,152707521,140011076,126656219,112797598,112797597,126656211,140011063,126812037,126812036,140162116,152855767,164691519,172481417,166108195,154361915,141713038,141713039,152707462,152707461,154899536,261396632,128914123,142265619,154899531,262776739,175312159,175312160,177171886,186518742,273365863,166172665,261769515,128435355,128434696,114550625,260646833,141788311,154435748,166171857,176792349,178132923,178132926,178298633,178298634,187504510,195517447,192569017,184117986,174468886,163632475,262043030,175250138,164547215,152707888,261307376,175312581,167674943,156070930,143537232,130211234,116376615,270915815,74669081,257676311,50387693,61877225,74669075,74669074,88294254,102287220,116376598,130211218,143537191,156070882,167674887,178132909,263845399,273346144,186188101,180624474,175449147,164691490,152855731,140162091,126812019,112958042,98968830,98968831,112958044,126812027,140162098,152855736,164691494,261153888,156070980,143537265,259358396,116376630,126513805,126513804,116376639,259532529,61877227,50387694,257676313,74669084,88294268,102287235,116376620,130211246,261153894,152296140,152296141,152296109,152296107,164179711,174995883,167674959,156070948,143537250,272613207,102287253,116376657,130211293,126190944,112330441,112330440,126190942,139566134,126190923,126190924,139566140,152296099,164179708,174995879,184597342,178133078,167675080,156071089,143537360,130211324,130211325,261856805,164180387,152296749,139566615,126191275,112330654,98347439,98347438,112330652,126191272,272525197,164180371,152670420,259619700,112761919,270491646,139971658,152670429,164515128,173523427,162486024,150352987,137312145,123580839,123580840,137312147,260624746,173523429,183323864,177171901,166599327,154899546,142265622,142265621,154899543,166599324,177171898,186518759,194664899,196431984,188609705,186518766,177171903,177171904,186518768,194664904,201641877,207513708,212178836,264234296,263565180,188776951,188776950,196562771,203232013,263983760,192981541,184596934,174995398,164179174,164179173,166599348,164546964,152707651,261307300,166599334,154899549,142265624,142265625,154899551,166599336,164546970,152707656,152707655,164179332,174995548,176791960,166171426,154435336,141787974,262281675,154435378,141788003,141788002,132268773,118440245,104270328,90131341,260226391,132268771,273272848,179584349,188609649,262738730,179584395,169335944,157911282,150353014,150353013,261201786,262262488,157911288,262429530,164546946,164546945,175312308,184866045,191139299,182436063,261749060,148978450,135740054,121801082,121801083,135740058,262989643,191139300,263686714,263528242,262214250,262139089,139055338,139055337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119985, s2 = 16098138, dlinesl.size( ) = 2 s1 = 14119985, s2 = 16098138, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14119985, Dl.E( ) = 64, 2.5e-05 seconds used appending s1 = 6932207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264960, s2 = 11483712, int(edited[s2]) = 0 s1 = 11264960, s2 = 11483712, d1 = 28, d2 = 119 Dl.O(d1) = 88543109 Dl.O(d2) = 264874293,219751268,219751269,218774364,215384482,211282351,206262152,273382530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264960, s2 = 11483712, dlinesl.size( ) = 2 s1 = 11264960, s2 = 11483712, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11264960, Dl.E( ) = 136, 4.2e-05 seconds used appending s1 = 16302363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6926664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7132073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10200500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10200500, s2 = 3280026, int(edited[s2]) = 0 s1 = 10200500, s2 = 3280026, d1 = 56, d2 = 9 Dl.O(d1) = 256032406,70310178,83835204,93012724,93012723,106586595,108686770,94399741,94399740,258900021,61737563,50259171,50259170,256938031,29625715,29625713,38192395,48103725,258127539,76457621,90287207,89166871,89166870 Dl.O(d2) = 104617801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10200500, s2 = 3280026, dlinesl.size( ) = 2 s1 = 10200500, s2 = 3280026, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10200500, Dl.E( ) = 60, 1.91e-05 seconds used appending s1 = 6769394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088218, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1276346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1276346, s2 = 10255497, int(edited[s2]) = 0 s1 = 1276346, s2 = 10255497, d1 = 63, d2 = 107 Dl.O(d1) = 32101067,40872877,257710755,75570585,89328444 Dl.O(d2) = 258694456,152809105,260540978,184954695,263110236,211485777,206490059,273981385,264188256,206490071,200446777,193291535,184954691,175407146,175407147,184954661,262187070,164646424,263507821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1276346, s2 = 10255497, dlinesl.size( ) = 56 s1 = 14911149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14098568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2226838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7710691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15936169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15936169, s2 = 3682645, int(edited[s2]) = 0 s1 = 15936169, s2 = 3682645, d1 = 12, d2 = 24 Dl.O(d1) = 254434144 Dl.O(d2) = 127548993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15936169, s2 = 3682645, dlinesl.size( ) = 2 s1 = 15936169, s2 = 3682645, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15936169, Dl.E( ) = 32, 3.22e-05 seconds used appending s1 = 11367020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2989681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3277981, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14083688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083688, s2 = 4060724, int(edited[s2]) = 0 s1 = 14083688, s2 = 4060724, d1 = 8, d2 = 40 Dl.O(d1) = 52287892 Dl.O(d2) = 174218798,183889151,192364289,192364315,183889172,174218811,163365762,151482158,151482157,163365761,273314441,183889160,183889159,192364293,183889153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083688, s2 = 4060724, dlinesl.size( ) = 20 s1 = 14105060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7583450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13662511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8322403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13382403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10299472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3287443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3287443, s2 = 7017450, int(edited[s2]) = 0 s1 = 3287443, s2 = 7017450, d1 = 47, d2 = 49 Dl.O(d1) = 105073707 Dl.O(d2) = 261414987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3287443, s2 = 7017450, dlinesl.size( ) = 50 s1 = 6618655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6618655, s2 = 9222387, int(edited[s2]) = 0 s1 = 6618655, s2 = 9222387, d1 = 61, d2 = 44 Dl.O(d1) = 256601186,90917336 Dl.O(d2) = 168778584,170551291,159213381,146840389,133582816,119708263,105468903,91246387,77326305,256188808,255718674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6618655, s2 = 9222387, dlinesl.size( ) = 16 s1 = 3001584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3001584, s2 = 7830681, int(edited[s2]) = 0 s1 = 3001584, s2 = 7830681, d1 = 34, d2 = 108 Dl.O(d1) = 90922703 Dl.O(d2) = 1890564,1890565,3225000,4792755,2889022,2889023,1877814,1877815,3206558,254579905,3228354,3228353,3206046,3206044,5247249,5247247,5092328,5092329,5861432,5861433,8978061,13170674,18536082,25079373,32776681,41693662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3001584, s2 = 7830681, dlinesl.size( ) = 20 s1 = 10334035, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6780799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6780799, s2 = 360334, int(edited[s2]) = 0 s1 = 6780799, s2 = 360334, d1 = 14, d2 = 11 Dl.O(d1) = 258383593,91164675,91164674 Dl.O(d2) = 52251355,257768999,41913506,32973661,25250979,25250980,25250975,18680101,13287205,9070273,5931154,3708599,2220942,2220945,3708606,4887061,5933674,9073612,13291022,18683967,20886905,15041865,13276619,9061328,5924811,5924809,7274553,4587659,2760020,1599943,1599937,2760005,3175511,5204793,6760445,6760443,6255910,3916250,2344190,2344189,3916241,6104705,3819724,3819725,5865715,6080382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6780799, s2 = 360334, dlinesl.size( ) = 6 s1 = 3552801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6781878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8240641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15576611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3301390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3302536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3302536, s2 = 9804824, int(edited[s2]) = 0 s1 = 3302536, s2 = 9804824, d1 = 41, d2 = 98 Dl.O(d1) = 105730949 Dl.O(d2) = 43168935,34085523,26224543,26224541,34085521,34100399,26237194,19520142,13973156,268160765,26237193,34100397,43185876,47802150,39118576,30520840,30520839,39118574,32155442,32155443,255833990,60449867,51317915,51317914,60449850,258195299,60449848,53697719,43185878,43185877,53697717,62996845,60449854,49046402,49046403,257006863,30520761,30520762,39117815,30520207,23103468,16846258,16845880,11780829,255516391,30519383,39116788,257587293,62996880,57737998,46388087,46388088,57738000,51317950,41134494,32320846,255621855,18235368,256590269,32320721,41134371,41134370,51317860,41134377,41134376,51317863,257728577,43176073,34092282,256086906,13968933,13968931,19514726,26230436,34092275,41134487,32320838,26411625,19676468,19676467,24706320,19676481,19676482,18235347,12934560,12934559,18235345,24706370,18235343,12934558,12934557,18235339,24706363,24706391,24706392,32320828,24706413,18235373,18235374,24706417,32320868,26417706,19681214,19681213,26411648,24706317,18235357,18235356,24706389,256590275,51317938,43200963,43200964,51317847,257728579,41134444,32320785,24706353,18235332,12934553,12934551,18235328,24706347,32320782,32320697,32320696,41134353,41134398,32320736,24706312,18235307,18235308,24706314,32320738,32320804,32320862,41134525,51317977,62996914,75979505,62996865,51317888,51317887,51317929,41134473,32320821,24706386,256078887,34286945,26417567,26417568,34293833,41134405,51317885,41134407,41134406,34293930,32320822,32320823,41134434,257142357,51317930,51317931,62996895,65770534,53713304,43200981,34114157,26249821,268521397,43200977,43200974,43200972,43386007,34286937,34286938,43386009,53910234,62996891,65987667,257269891,34293921,26417678,19681200,19681201,26417682,34293926,43393769,43386167,43386168,53713308,53713309,53713288,43386004,34286936,34286935,43386002,41134529,32320865,32320866,41134532,51317986,62996919,53713327,43201006,34114172,26249829,19532383,13985263,13985262,19532378,26249826,34114165,43173176,43173175,34293951,26417700,19681210,19681209,26417698,34293946,43173129,34089774,26228477,26228482,34089782,43173146,53683560,53683589,257143680,19513207,13967740,13967739,19513204,26228492,33763467,33763466,42795052,53247272,256615354,53713331,65739846,65739847,53683595,53683520,257169630,65189680,53204432,43201026,43201025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3302536, s2 = 9804824, dlinesl.size( ) = 48 s1 = 11199500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6934011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6934011, s2 = 14525438, int(edited[s2]) = 0 s1 = 6934011, s2 = 14525438, d1 = 57, d2 = 85 Dl.O(d1) = 260283296 Dl.O(d2) = 32166907,24581415,18138260,255614097,32166906,256580209,32166906,257131127,40946122,32166905,24581414,256580207,24581414,255219777,5695025,267805503,2109826,3543369,5695022,268010825,12862196,255614095,32166890,40946109,51088982,62720516,75666644,89429739,103525823,117658723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6934011, s2 = 14525438, dlinesl.size( ) = 14 s1 = 13379413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13379413, s2 = 3565191, int(edited[s2]) = 0 s1 = 13379413, s2 = 3565191, d1 = 1, d2 = 1 Dl.O(d1) = 78318447,258376124,81589156,95622872,106656753,120909592,123967012,113416455,113416456,100212688,100212687,95622889,81589179,81589180,95622890,109827264,113578932,99562368,85612004,72023397,59286696,47890417,47890415,59286693,72023392,85611993,99562363,113578927,127455248,134708106,258554848,100212673,86244766,86244767,100212675,114247019,114886672,120909554,114247012,100212669,86244763,72642532,72642531,86244760,100212666,113578906,99562349,99562348,113578904,127455240,127274946,127274945,140620714,153300667,154768411,142135832,128782452,114886662,100836438,86855692,86855693,100836443,113837238,99822685,85869915,85869914,73242967,60496187,49092894,39163070,39163069,49092890,59544329,48157440,38248230,29683279,29683278,38248228,48157437,59544319,48157435,48157436,59544324,72278482,85869912,99822682,98545133,91501036,77569945,64401797,52528378,52528377,257615934,91501032,100836474,87993308,77569938,77569939,91501029,91689446,271395655,105896587,101967747,87993303,74389660,64579395,52679183,52679184,58342445,46973511,46973512,58342447,64579430,64579432,77762196,91689488,105896582,101967729,87993276,74389634,258532718,101967731,109450553,123643144,109450558,95195775,81138802,67672996,55333634,55333633,67672993,77762164,64579409,52679190,42292762,42292761,52679188,64579404,77762160,91689460,105896564,120108093 Dl.O(d2) = 78318447,258376124,81589156,95622872,106656753,120909592,123967012,113416455,113416456,100212688,100212687,95622889,81589179,81589180,95622890,109827264,113578932,99562368,85612004,72023397,59286696,47890417,47890415,59286693,72023392,85611993,99562363,113578927,127455248,134708106,258554848,100212673,86244766,86244767,100212675,114247019,114886672,120909554,114247012,100212669,86244763,72642532,72642531,86244760,100212666,113578906,99562349,99562348,113578904,127455240,127274946,127274945,140620714,153300667,154768411,142135832,128782452,114886662,100836438,86855692,86855693,100836443,113837238,99822685,85869915,85869914,73242967,60496187,49092894,39163070,39163069,49092890,59544329,48157440,38248230,29683279,29683278,38248228,48157437,59544319,48157435,48157436,59544324,72278482,85869912,99822682,98545133,91501036,77569945,64401797,52528378,52528377,257615934,91501032,100836474,87993308,77569938,77569939,91501029,91689446,271395655,105896587,101967747,87993303,74389660,64579395,52679183,52679184,58342445,46973511,46973512,58342447,64579430,64579432,77762196,91689488,105896582,101967729,87993276,74389634,258532718,101967731,109450553,123643144,109450558,95195775,81138802,67672996,55333634,55333633,67672993,77762164,64579409,52679190,42292762,42292761,52679188,64579404,77762160,91689460,105896564,120108093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13379413, s2 = 3565191, dlinesl.size( ) = 2 s1 = 13379413, s2 = 3565191, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13379413, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3022416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3022416, s2 = 6678207, int(edited[s2]) = 0 s1 = 3022416, s2 = 6678207, d1 = 13, d2 = 3 Dl.O(d1) = 91706137 Dl.O(d2) = 36484696,46341282,257233890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3022416, s2 = 6678207, dlinesl.size( ) = 2 s1 = 3022416, s2 = 6678207, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3022416, Dl.E( ) = 44, 1.38e-05 seconds used appending s1 = 11243272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095367, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3308712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3310422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105368, s2 = 3524397, int(edited[s2]) = 0 s1 = 14105368, s2 = 3524397, d1 = 16, d2 = 5 Dl.O(d1) = 258540732 Dl.O(d2) = 116786158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105368, s2 = 3524397, dlinesl.size( ) = 32 s1 = 9439387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9439387, s2 = 11544104, int(edited[s2]) = 0 s1 = 9439387, s2 = 11544104, d1 = 6, d2 = 4 Dl.O(d1) = 25661927,19042659,13593417,9307773,6097073,6097074,9307774,9307771,254303808,2285131,254302749,6097072,254451418,9307769,255678687,33430273,42420990,52822635,258424141,91854416,106053270,120259425,134095594,147311556,272991349,263731475,264368051,213990469,217648505,265300813,274312505,213990465,264365826,263728514,263731475,264368051,265101413,265099792,274312154 Dl.O(d2) = 274312156,220701567,220701566,274379467,227499186,274537743,274861751,266416704,266104676,228178412,265370048,221760938,264733092,264186118,200395944,263107394,164583969,261115582,260537670,126711229,126711230,112859383,258066544,84945504,269786533,47239419,37329685,255842503,255040735,7089794,10730381,15515126,21527847,267974550,16061894,16061895,22189450,19585874,14032088,14032087,17136085,23411163,30840907,27212278,25723187,19092299,14031989,9647063,9647062,14031987,19122960,13653428,13653427,13676753,9365974,6134946,3838202,3838201,6134943,254937543,19153424,25622680,25622679,256140173,25605933,25767568,25767569,25735553,19102835,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,9307687,6097019,6097020,9307692,255274219,25661763,20285689,14555626,10015437,10015438,14555629,20285691,27213628,20285189,20285190,19011105,19011104,16372943,11394583,11394584,11394587,11394586,16372949,22549338,29905499,25698817,255533460,19126237,18582023,13593269,13593270,12652107,268119297,19103513,19103512,25736402,20285065,20284758,20284759,19077752,19077753,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603065,12668221,17865733,12651747,12651750,12652539,17866861,24242835,17873427,12657098,12656809,8593051,5583344,3464094,3464093,5583341,8593044,255592435,31762162,257683915,74780400,73252864,60505904,49101831,39171550,30573834,23156530,16895236,11823131,254559837,3040172,3040170,4681989,2820977,2820976,2820995,1953737,1116167,626379,348033,190835,104196,104195,57313,57311,104244,190945,348272,626830,1117085,1955527,3324456,3324455,5407703,8379477,11727809,7829611,7829614,11727819,16774273,13538422,13538423,16660781,18961569,18961570,17578232,17380782,17380783,12249364,8272903,8272904,12249369,17383017,17471347,12403454,8382577,5409471,5409473,8382580,12403455,17575280,20145940,23429195,23890680,31387278,24261001,24261002,22322603,255390748,30861159,30861160,23737128,23737129,31220917,39897754,49917505,49394634,39466109,30861948,23431810,17155403,12058871,10527151,6942844,6942845,9248546,13515924,10345862,10345860,15017918,20925703,23737535,17412631,12271469,12271468,17412627,13518603,13518601,255671917,33326650,40509192,40509191,50544906,62036780,74833316,259545471,98973164,85048086,71476540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9439387, s2 = 11544104, dlinesl.size( ) = 2 s1 = 9439387, s2 = 11544104, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9439387, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6942512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3315843, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11266602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11266602, s2 = 15032076, int(edited[s2]) = 0 s1 = 11266602, s2 = 15032076, d1 = 26, d2 = 38 Dl.O(d1) = 258436055 Dl.O(d2) = 235607108,234629125,233555976,233555975,234629120,233555969,233555970,234629122,235607118,266483312,235384986,236291558,274744436,266483314,234390294,233296453,233296452,233555963,234629118,233555965,266309087,235607115,235607109,235607110,236498091,236498092,235607112,274718137,233555974,233555973,233555972,232375806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266602, s2 = 15032076, dlinesl.size( ) = 14 s1 = 7648679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6889836, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15453955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15453955, s2 = 11264063, int(edited[s2]) = 0 s1 = 15453955, s2 = 11264063, d1 = 5, d2 = 18 Dl.O(d1) = 2592394 Dl.O(d2) = 259983356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15453955, s2 = 11264063, dlinesl.size( ) = 2 s1 = 15453955, s2 = 11264063, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15453955, Dl.E( ) = 46, 2.1e-05 seconds used appending s1 = 14061900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14061900, s2 = 8505280, int(edited[s2]) = 0 s1 = 14061900, s2 = 8505280, d1 = 14, d2 = 18 Dl.O(d1) = 13888462,9529855,9529856,13888468,19412556,26102934,33057709,36585709,28113161,20936238,15028021,15028020,20936235,28113156,36585702,256406680,34673354,26679883,26679884,34673356,43948104,43948101,43948102,54691772,66950382,80379590,94437914,108729859,95089257,81031062,81031063,95089258,109343400,121027242,106773472,92467788,78431528,65149535,256081006 Dl.O(d2) = 258969680,152195879,139469176,126098233,126098232,139469175,152195878,139469189,126098245,112242895,98264207,84356362,70798001,58081333,58081332,70798000,84356361,98264188,84356343,84356342,84356365,98264190,84356344,70797973,58081309,58081308,58081312,70797974,58081311,46709881,36827614,28331587,21120303,15172824,15172826,21120302,21120301,28331584,36827609,46709874,58081298,46709886,46709887,58081319,70797983,84356353,98264200,112242886,126098231,139469172,152195874,152195873,262621752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14061900, s2 = 8505280, dlinesl.size( ) = 20 s1 = 14149539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8274727, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6581585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6787507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089004, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14039600, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11224618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224618, s2 = 7606351, int(edited[s2]) = 0 s1 = 11224618, s2 = 7606351, d1 = 16, d2 = 18 Dl.O(d1) = 260156752,107126599 Dl.O(d2) = 269112579,26063388,26063387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224618, s2 = 7606351, dlinesl.size( ) = 24 s1 = 6941713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662127, s2 = 7915199, int(edited[s2]) = 0 s1 = 9662127, s2 = 7915199, d1 = 44, d2 = 47 Dl.O(d1) = 91494845,105719337,119955197,133822941,147068254,153406728,260417158,113497222,99485947,269652092,59212111,59212112,47903096,47903095,47813580,37891821,29323881,21994565,21994564,29323880,37891820,40197624,46917413,46917412,41758768,32838239,25133081,18579743,13203712,13203708,18579738,25133069,28328918,28328919,25655819,19037216,19037212,25655812,28910048,24688078,24688079,29322445,23975085,23975084,31471146,26127556,26127557,29058455,21993003,15895027,15895029,21993009,29321948,28068235,20897057,20897060,19900158,14255723,14255725,19900164,25539228,18927004,18927005,25539232,31471421,34251308,26374068,255685040,15634120,10819092,10819091,15634118,21670924,16353361,11380069,11380068,16353359,22526334,23319987,17055344,17055345,23319989,30740084,39338663,33104134,25369367,25369368,28329048,29321151,36824663,36693227,29317378,29317377,29322680,28954250,26157149,19457884,19457885,19458202,19458200,25690068,29863408,29863406,38426785,38038012,32580973,25369317,18785355,18785354,25369312,23374659,23374663,26161930,19461824,13927740,9559557,6272549,3927269,2351071,2351070,3927248,6272497,9559464,13546154,18983177,17069873,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018280,11018278,13907847,9545040,9545041,13907833,13907834,9558630,6272059,3927025,2350969,1361901,776206,440662,440663,776211,1361913,1361859,776186,776184,1361855,2350878,2767710,2767707,4600234,7294477,11018514,15894498,21992199,29321053,32535742,24890606,21160243,15204020,10486979,10486978,15204045,21160270,28377613,36874420,33863666,26041738,19363173,13850182,9501342,9501343,13850184,19363176,255700989,19363172,256065987,12832205,8725432,5679979,3532977,2102634,1210627,1210628,2102635,3532979,5679981,8725436,12832213,18098436,17114691,12027027,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160049,18390748,13687791,9373884,9373881,13687781,12751061,12751060,17990178,24390051,31922906,40638698,49347413,48176371,48176370,50697728,40638571,40638572,50697730,53145878,256726624,39422205,31444555,26045946,24891720,18391437,18391435,24891718,256602993,41387469,51613549,63337778,76370241,259611163,74288209,61511539,50033320,40014613,256139186,12341956,8338070,8335003,6848610,4297422,2569252,2569254,4297433,6848625,10285919,6761164,6761166,10285921,255360117,10304842,6776719,6776720,5212709,5212708,8135956,10305086,6776925,4247897,2539652,1463306,828125,828127,1463314,2539670,4247261,4247263,6775937,5585976,3465580,2055093,2055096,3465590,5585995,8596864,10353518,10353517,15025657,13312421,13312420,267997615,8327231,12326947,17483017,23817997,20911055,18670299,15053186,12487733,8458125,6847364,6845699,6845702,5465099,3360626,2344134,1357840,1357839,254308079,6255729,9535917,255295849,19422911,26116184,33953084,43009851,53488056,65511469,78843783,92950405,107355154,121736402 Dl.O(d2) = 3049147,3049146,5035981,3878359,3878358,6196655,9451810,13785537,13785532,13785533,19283964,20262052,14537691,10002377,10002378,14537694,20262059,27185130,35304463,44722528,44724123,55622984,55477878,55477879,67819727 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7731049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3047824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3051352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10348167, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15978875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15978875, s2 = 16291986, int(edited[s2]) = 0 s1 = 15978875, s2 = 16291986, d1 = 4, d2 = 16 Dl.O(d1) = 113736129,99721475,85767378,72173110,59434553,49954085,49954086,49953509,49953510,43304874,34206499,26332604,19604344,19604345,26332606,255675488,53829823,65897194,79259479,93386259 Dl.O(d2) = 221112937,221112936,223628666,225808151,225808156,227709124,265299678,223628656,274235730,221112940,218171792,214665947,210401025,205181495,205181496,198877115,198877114,205181497,264065640,218171796,221112938,218171791,214665946,210401025,205181495,205181496,198877115,198877114,205181498,205181505,205181504,210401037,214665943,210401020,205181491,198877112,191431762,191431761,198877110,205181494,210401024,274046194,221942209,221942210,224366471,223628656,274235730,221112940,218171792,214665947,210401025,205181495,205181496,198877115,198877114,205181498,210401027,206781812,200792310,193694899,185416635,175929859,165224025,153422011,140740874,127384904,113515021,99503745,85557161,71969912,269396380,37913881,29344820,22012785,18812613,13402153,9162717,9162719,13402158,17469885,23740038,25641032,25640986,25640987,33407606,37842635,47195415,37286862,37286863,47195420,50569385,50569417,256398800,31835026,32498172,29512435,29512433,38056549,47969816,40532809,40532810,40532856,40532593,36934333,28435507,21211024,15244141,255387581,28435500,36934321,40532855,255463528,39759498,49778167,51753636,41483323,32604565,32604566,41483325,42096031,41483305,32604551,32604550,41483302,51753615,256398810,268627968,42039978,42039979,51753603,51753604,50237053,40216719,31530827,31530828,40216721,41483298,257028130,42039972,33091912,25358747,18776331,18776332,25358749,33091916,42039977,50030806,52384016,50237032,41483256,41483257,50237029,40216697,40216698,50237030,61716019,64588602,255980930,50237052,40216715,31530825,31530823,40216711,50237048,51512058,50030807,50030808,61508945,61508949,74285410,87887662,87663673,87663672,76612494,63532481,59586064,49208991,49208993,52242840,52242841,64090357,77234717,72675576,70705284,58752760,47366912,41905536,32966139,256045050,31775797,24263467,255201786,40470550,36724213,36724212,37987393,36724189,268450001,17870388,12654900,12654898,17870385,12668376,12668377,15107181,21033175,28230259,21033163,15107174,10419786,6869022,6869021,8857163,5772845,5772844,8857160,13009592,16162494,21033256,16970239,11882411,11882412,16970242,23239979,17884479,12667821,12667822,12667905,10956080,10956079,15810304,19816688,14194913,9758148,6416171,6416167,9758131,14194876,19816629,21991339,28084222,28084225,28329008,36824560,32837749,32837750,31471251,31471250,26169928,19469006,13933658,13933659,19469011,26169931,34011792,31091209,31091210,24133361,24133360,31640492,25470036,18870487,13446678,13446677,18870485,20284693,27213225,29442253,32549064,25132548,25132550,28203068,28328534,21118154,21118153,19130004,19130006,19457515,13924807,13203856,9001134,9001136,13203861,9001172,9001169,13203592,18579532,25132753,26161125,30039291,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,29321693,21992822,15894918,15894922,21992804,21069021,15134012,15134010,11772720,7859953,7859954,11772725,16834889,19129736,25769624,33558977,29322101,21993142,15895253,11018925,7294671,7294672,11018930,15895265,21993335,22108951,22108950,17645414,12471873,12471871,17645410,23990231,31192547,31192548,39874416,46672571,36786488,28289965,22988905,16750611,11704641,7807534,7807533,254428148,22988896,30392236,33426600,33432016,42424298,36724249,28230469,21033338,254933440,6869055,4311211,2577940,1484876,1484877,2577942,4311215,6869064,10419870,15107320,21033383,25989857,26162065,26162066,21033380,21033378,16162443,11229538,7451378,7451379,11228589,16161419,16161426,11228596,7450562,7450561,11228593,16161424,16162425,11229521,11229520,16162423,22308930,29660767,22308442,16161730,16161729,16047644,16047645,22171413,255463595,11229513,7451355,4707972,4707971,7451354,11229511,11228291,7450359,4707331,4707330,7450357,8729657,11228600,16161055,16161054,22307586,16161423,16161421,16161386,16161387,16161391,16161084,11228359,11228358,16161083,255453132,11228782,11228322,11228321,7451327,4707947,4707480,2835847,2835845,4707477,7450546,4707825,2836079,1645279,935577,935579,1645284,2836088,4707835,4707589,2835915,1645195,254140604,527251,935535,1645201,254194890,7450773,4707740,4707579,2835908,1645192,1645193,2835911,4707580,7450737,4707694,2835985,1645231,1645232,2835987,4707697,7450905,7450921,7450922,11229015,11229495,11229003,7450927,254773061,11228841,7451048,4707804,4707805,7451050,7450727,4707569,4707568,7450723,11228776,16161626,11228979,7450884,7450883,7450985,7450986,7450862,4707670,2835973,2835974,4707671,7450865,11228952,16161801,11229167,11229168,16161861,11229002,11229001,11229036,11229477,11229475,7451342,7451341,11229490,11229175,7451062,7451061,11229172,254773057,7450850,11228930,11229073,7450969,4707756,4707755,7450965,11229067,16161911,22308318,22308317,17683842,17683841,24035285,256537051,25402049,18812718,13402221,255258673,18812720,25402054,33141915,42096075,52448989,64316737,77480952,70543209,57841251,46485177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15978875, s2 = 16291986, dlinesl.size( ) = 2 s1 = 15978875, s2 = 16291986, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15978875, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 8276523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8512977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11266098, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11258852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258852, s2 = 10430738, int(edited[s2]) = 0 s1 = 11258852, s2 = 10430738, d1 = 80, d2 = 59 Dl.O(d1) = 43401456,53927837,65998078,79366398,259744427,260960105,122368238 Dl.O(d2) = 258823469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258852, s2 = 10430738, dlinesl.size( ) = 80 s1 = 3338349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3338349, s2 = 7917033, int(edited[s2]) = 0 s1 = 3338349, s2 = 7917033, d1 = 13, d2 = 0 Dl.O(d1) = 107948789 Dl.O(d2) = 9713647,9713652,14118672,9713878,9713877,14119091,19691825,26429522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3338349, s2 = 7917033, dlinesl.size( ) = 12 s1 = 3339746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6979367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6979367, s2 = 10981558, int(edited[s2]) = 0 s1 = 6979367, s2 = 10981558, d1 = 19, d2 = 56 Dl.O(d1) = 260885836 Dl.O(d2) = 58490176,47112223,37215269,28690509,28690508,255397760,58490175,58490173,47112217,37215266,37215265,47112215,58490172,58490176,47112228,37215274,28690512,28690511,37215271,47112214,47112212,37215261,255827398,256856516,84780644,84780645,71211809,58490177,47112223,37215269,28690509,28690508,255397762,47112230,58490180,256317170,47112229,37215275,37215260,254730806,254333340,7053210,4439811,4439810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6979367, s2 = 10981558, dlinesl.size( ) = 44 s1 = 7655672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7655672, s2 = 1196061, int(edited[s2]) = 0 s1 = 7655672, s2 = 1196061, d1 = 42, d2 = 5 Dl.O(d1) = 271296774 Dl.O(d2) = 30286686,22888903,16660041,11627383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7655672, s2 = 1196061, dlinesl.size( ) = 2 s1 = 7655672, s2 = 1196061, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7655672, Dl.E( ) = 72, 3.5e-05 seconds used appending s1 = 6797490, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13425661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6585551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16394639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16394639, s2 = 9404008, int(edited[s2]) = 0 s1 = 16394639, s2 = 9404008, d1 = 24, d2 = 13 Dl.O(d1) = 28165006,20984988,20984987,28165004,36640059,46507322,57863428,70565036,64820018,52898248,42491491,33494900,25718816,19089651,19089650,19580890,14028426,9644467,9644468,14028427,19580895,14518695,14518692,20232800,17097817,12011268,12011266,17097809,23367024,30793206,39395948,33875724,26052895,19372391,13857092,13857091,19372388,20322114,256211910,36926524,38107738,29544534,22201260,22201259,29544533,33443351,25672961,19051766,19051767,256660787,33443353,42436265,52841208,64761753,77957167,91882454,106078284,120279611,134111167,147323229,159671353,170986457,181091776,189955748,197598928,264368311,213993655,217651335,220703925,223301598,225547015,227500440,229208551,265796092,232083724,230741551,230741550,232083722,233292320,274578602 Dl.O(d2) = 25904578,33385623,33385624,42374612,52773578,64687769,77877271,91799603,105880034,91673114,77745869,77745870,91673116,105880036,120091669,133934101,147156727,159516600,162454874,150319028,137277009,123544540,109352097,95097210,257501410,67569785,67569784,55226636,44375823,255446780,26916073,20031732,20031733,26612673,255669358,254682744,5007051,254812065,16873349,255440816,32099924,34256220,26604669,19798054,14181195,14181194,19798052,20336285,26593220,19787953,19787952,14178005,14177996,9746839,9746838,14177993,14182866,14182865,14183372,19186759,14179601,14179600,16130991,14182972,14182971,268329537,34595246,26607995,20334138,20334137,21901328,21901329,255340865,10013172,10013173,14552187,20281270,27209421,33661680,33661681,42692348,38370559,29797918,268396866,25840436,33643694,42672883,43856211,53123774,268223934,26607887,24152920,17785671,12588198,8540447,5538572,5538571,8540443,12588183,17785647,24152897,24122306,24122304,24122320,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151378,6151381,9389316,12282803,8295053,5351306,5351305,6408477,6408482,9746033,14176753,14176723,9746012,9746011,14176714,16920506,23186631,19803528,14185157,14185156,19803520,26611466,34598489,35396608,39014385,47877630,47877631,59273070,61776747,74560214,88174988,100045521,256921186,59751062,48368548,38467070,38467069,39127683,39127684,37961889,29397469,29397468,37961886,255071106,40314078,255445434,18130657,12856023,12856022,18130654,254763272,25856550,20281137,14552088,14552087,15820938,10964079,10964078,15820934,21900129,22824841,28159952,20980455,20980458,28159965,21899308,21899309,26215806,28422587,28422586,25779644,21903349,21903350,21542558,15525942,10737827,7094470,7094471,10737832,15525954,21542578,16809414,16809413,17305947,15948101,11067324,7338373,4635387,4635388,7338378,11067336,15948121,19199812,13712362,9391944,6152877,3849900,2306675,2306674,3849895,254663295,254753568,8835393,12979507,10995766,7278968,4590600,4590599,7278965,10995754,10995777,15864650,21956593,29280695,29280696,28810338,22823630,16603173,11579609,11579610,16603178,18130181,12855726,8742111,5691178,5691177,8742104,12855713,18130155,24571428,30215756,29384503,29384502,37949098,268220400,49070251,60473394,257501412,255446782,52244256,41907009,41907008,35135228,35135227,32967632,25245638,22000170,19648925,14083709,14083710,19648926,18674323,18674322,25244458,32581403,41447550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16394639, s2 = 9404008, dlinesl.size( ) = 2 s1 = 16394639, s2 = 9404008, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16394639, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 9031120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9031120, s2 = 1870818, int(edited[s2]) = 0 s1 = 9031120, s2 = 1870818, d1 = 21, d2 = 27 Dl.O(d1) = 256739593,55243048,67584773,259154255,271656963,137287422,123555279,109363882,259781989,81052395,259154255,260395130,257904699,55243048,67584772,81052394,95109739,109363891,123555294,261549739 Dl.O(d2) = 59934861,48542185,257477319,39899437,39741695,39741694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9031120, s2 = 1870818, dlinesl.size( ) = 12 s1 = 14918079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7064942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7064942, s2 = 14515075, int(edited[s2]) = 0 s1 = 7064942, s2 = 14515075, d1 = 16, d2 = 15 Dl.O(d1) = 262084765,260224594 Dl.O(d2) = 8635824,255207025,21845261,15775047,15775046,21845258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7064942, s2 = 14515075, dlinesl.size( ) = 14 s1 = 3234063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14094174, s2 = 11136300, int(edited[s2]) = 0 s1 = 14094174, s2 = 11136300, d1 = 30, d2 = 11 Dl.O(d1) = 258534834,95220478,109474448,260995583,127860101,113982410,99959644,86000987,72404788,59669320,59669322,72404791,86000990,99959650,113982408,127860096,141218990,261732733,127860089,113982405,260608281,141218979,141218969,141218970,153890694,153890696,141218975,141218977,153890700,165667150,176335519,176335520,176335514,165667136,262247275,141218997,127860102,113982415,99959646,86000987,72404788,59669320,48281760,256409487,22431292,16263879 Dl.O(d2) = 255114193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14094174, s2 = 11136300, dlinesl.size( ) = 2 s1 = 14094174, s2 = 11136300, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14094174, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 1031884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349647, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14071446, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3355536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3355536, s2 = 7337010, int(edited[s2]) = 0 s1 = 3355536, s2 = 7337010, d1 = 18, d2 = 54 Dl.O(d1) = 109513874 Dl.O(d2) = 212011136,216006882,219317094,222114247,265569985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3355536, s2 = 7337010, dlinesl.size( ) = 2 s1 = 3355536, s2 = 7337010, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3355536, Dl.E( ) = 62, 1.5e-05 seconds used appending s1 = 14959997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6794399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9662126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9662126, s2 = 6943143, int(edited[s2]) = 0 s1 = 9662126, s2 = 6943143, d1 = 1, d2 = 1 Dl.O(d1) = 160133861,147882813,134762990,120966017,106713778,92408403,78371561,65088328,53101900,42650743,255295848,25821576,19171129,254308078,6141973,6141974,7148989,7148990,4501978,4501981,6792196,6792194,7679156,4859021,2928217,2928216,4859019,7679152,11542523,16559628,17583269,267997614,15595612,21626435,28901251,28901608,21626887,15596035,10789025,10789024,13930165,13338158,13338157,15596024,14926371,10263958,8190641,5259917,5259918,8190643,12160437,17281497,18696627,25268457,32992539,35414186,27289628,20354995,14611095,10053817,10053816,14611092,255360116,6782315,6782318,10311308,14978980,10311389,6782363,4251583,4251581,6782351,10311360,9272976,9272975,13545280,256139187,42333471,52720625,64620826,77803269,259611162,95205870,81148477,67682339,55342560,256602992,35119048,31799067,24284949,17904034,17904035,24284950,26669918,256726625,35119037,27032235,20139492,14445525,9937757,9937758,14445535,20139507,20139518,20139520,27032260,30010094,22639010,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542360,31023586,31409957,23920059,23920060,18628792,13244153,9033648,5901433,5901432,9033647,13244151,18628790,25189345,32899500,256065986,52140285,255700988,36719745,36719746,46607918,52338397,41999204,33055780,25327225,18748256,13347805,9120749,5968141,5968143,9120752,13347810,18748267,25327235,29800939,22434607,16266822,11309805,7508745,4746298,4725526,4725530,7477135,11263161,13633543,9336406,6115489,6115491,8528301,7085748,4461192,2680094,2680084,1552471,1552472,2680091,2941775,3803675,2860356,2860355,4746234,3827896,3827895,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,4608981,6121981,6121982,9346601,6929135,6929134,10508021,13589886,19038057,23279425,25642663,23775904,22433810,16266079,11309204,11309205,16266084,22433814,19010335,13567828,13567827,19010333,25624992,25708300,25708299,33481881,25752286,19114199,19114200,25752287,33423675,33389412,25794564,19149147,255685041,19123675,20284883,14554938,14554939,13550008,13550007,18988881,15066056,10389789,10389787,13550018,18988908,25600957,20009706,20009708,25761431,19122230,19122228,18988856,13549994,9276040,9276039,13549991,17446179,13673531,13616548,13616552,13602849,9314478,9314479,13602829,19038231,13590016,13590017,19038234,25656723,25766051,19144195,19144199,25789113,33584837,30092595,22711003,22711002,27213622,20285182,14555196,10015199,10015197,14555191,20285178,27213620,35337737,38026531,38026532,44764012,44764011,269652093,81562111,95595462,260417159,137611175,150607257,162705571,152693679,139996087,126640849 Dl.O(d2) = 160133861,147882813,134762990,120966017,106713778,92408403,78371561,65088328,53101900,42650743,255295848,25821576,19171129,254308078,6141973,6141974,7148989,7148990,4501978,4501981,6792196,6792194,7679156,4859021,2928217,2928216,4859019,7679152,11542523,16559628,17583269,267997614,15595612,21626435,28901251,28901608,21626887,15596035,10789025,10789024,13930165,13338158,13338157,15596024,14926371,10263958,8190641,5259917,5259918,8190643,12160437,17281497,18696627,25268457,32992539,35414186,27289628,20354995,14611095,10053817,10053816,14611092,255360116,6782315,6782318,10311308,14978980,10311389,6782363,4251583,4251581,6782351,10311360,9272976,9272975,13545280,256139187,42333471,52720625,64620826,77803269,259611162,95205870,81148477,67682339,55342560,256602992,35119048,31799067,24284949,17904034,17904035,24284950,26669918,256726625,35119037,27032235,20139492,14445525,9937757,9937758,14445535,20139507,20139518,20139520,27032260,30010094,22639010,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469676,16461376,22063804,17234025,12115252,12115254,17234038,23542360,31023586,31409957,23920059,23920060,18628792,13244153,9033648,5901433,5901432,9033647,13244151,18628790,25189345,32899500,256065986,52140285,255700988,36719745,36719746,46607918,52338397,41999204,33055780,25327225,18748256,13347805,9120749,5968141,5968143,9120752,13347810,18748267,25327235,29800939,22434607,16266822,11309805,7508745,4746298,4725526,4725530,7477135,11263161,13633543,9336406,6115489,6115491,8528301,7085748,4461192,2680094,2680084,1552471,1552472,2680091,2941775,3803675,2860356,2860355,4746234,3827896,3827895,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,4608981,6121981,6121982,9346601,6929135,6929134,10508021,13589886,19038057,23279425,25642663,23775904,22433810,16266079,11309204,11309205,16266084,22433814,19010335,13567828,13567827,19010333,25624992,25708300,25708299,33481881,25752286,19114199,19114200,25752287,33423675,33389412,25794564,19149147,255685041,19123675,20284883,14554938,14554939,13550008,13550007,18988881,15066056,10389789,10389787,13550018,18988908,25600957,20009706,20009708,25761431,19122230,19122228,18988856,13549994,9276040,9276039,13549991,17446179,13673531,13616548,13616552,13602849,9314478,9314479,13602829,19038231,13590016,13590017,19038234,25656723,25766051,19144195,19144199,25789113,33584837,30092595,22711003,22711002,27213622,20285182,14555196,10015199,10015197,14555191,20285178,27213620,35337737,38026531,38026532,44764012,44764011,269652093,81562111,95595462,260417159,137611175,150607257,162705571,152693679,139996087,126640849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9662126, s2 = 6943143, dlinesl.size( ) = 2 s1 = 9662126, s2 = 6943143, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9662126, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14085754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3081706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117428, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6795105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164965, s2 = 16214377, int(edited[s2]) = 1 s1 = 6968284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6968284, s2 = 2160966, int(edited[s2]) = 0 s1 = 6968284, s2 = 2160966, d1 = 6, d2 = 12 Dl.O(d1) = 260724090 Dl.O(d2) = 270257879,257375461,257985039,68027264,68027263,72746634,60011913,256976605,255934021,22746834,30130294,38707489,48622217,57382666,46096400,36297122,36297120,43159153,53670050,65726387,77851755,64662491,52749508,42351893,36294253,33181519,25436856,25436855,33181517,42140638,52499138,64373329,57217755,45962795,36199703,255991346,45962527,45962528,45969845,36205271,36205273,45969849,45970413,45970330,36205617,36205621,45970373,41057909,41057908,51216521,62867974,64435442,64435441,75855174,62887898,62887899,71432718,58700135,47310001,255043454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6968284, s2 = 2160966, dlinesl.size( ) = 2 s1 = 6968284, s2 = 2160966, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6968284, Dl.E( ) = 16, 2.69e-05 seconds used appending s1 = 15586739, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6795848, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9493100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9493100, s2 = 11003478, int(edited[s2]) = 0 s1 = 9493100, s2 = 11003478, d1 = 41, d2 = 53 Dl.O(d1) = 27986395,36445856,256806923,57649265,70339838 Dl.O(d2) = 28039987,24034303,17683014,12505583,12505584,17683019,19216785,19216783,25875794,29517695,22656777,16463673,11471152,11471151,16463670,22656772,30031092,30902923,30902922,39511033,49442487,60844374,59141037,47742333,37819927,29254598,29254599,30160401,255877594,255755160,15845970,10981400,254516533,3050685,3050686,5038871,7926254,11859583,16944979,17921295,14347099,9857254,6474997,6474998,9857256,14347103,11545709,7681319,7681317,11545706,8624793,8624790,11625403,7743663,7743662,11625402,11621047,7739446,4900341,2953370,1712645,1712643,2953366,4900333,3330031,3330029,5416931,8394032,7598937,7598938,11415683,7586710,254251594,7738407,7732549,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906116,4822607,7622287,7736260,5965750,5965749,7328854,11053269,7740744,4901361,2954064,254170673,548066,548065,973416,1712998,2954045,2954046,4808979,2898244,2898245,2904501,4819873,7617917,11453181,16395886,16395887,15022180,10349949,6814858,6814856,10349947,14340762,9852334,9852335,9954908,9118202,9118203,13344853,10518107,6936412,4358709,2611524,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799315,1404484,958362,958363,1685553,2905757,4821984,7621259,11458015,16445135,22632408,16445133,16445134,22632411,30001999,38572606,48485798,269821723,86214057,87653118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9493100, s2 = 11003478, dlinesl.size( ) = 26 s1 = 2784664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16196961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16196961, s2 = 6796033, int(edited[s2]) = 0 s1 = 16196961, s2 = 6796033, d1 = 51, d2 = 65 Dl.O(d1) = 5180332,8085018,12025831,17112904,17112901,17112900,23383603,30812315,30812314,30812313,39417496,256938050,39417485,30812304,23383594,17112896,12025826,12025827,17112897,23383595,30176616,22787915,21146196,21146195,16102616,15193590,10479742,10479739,15193585,21146571,28362321,36860532,28362394,28362393,23285021,17025715,17025716,21146356,21146355,28362000,29585523,28361995,21146351,255018227,10479664,15193441,15092276,15092275,21013473,21013471,15092274,10409043,6861433,4306160,4306159,6861430,10409038,10479681,10479680,15193457,15092250,10409030,6861426,6597213,6597214,10038753,14589215,20328702,27263137,28361997,28361998,36860251,36860258,28362005,256300429,35191345,36696368,36696385,46582803,36696354,36696353,28205820,21013382,21013381,28205818,36696356,46582804,40174664,31489519,31489520,39354113,30753586,30753585,39354111,40053072,31372135,31372136,32362442,32362443,41178331,42299909,42299910,51364423,57959317,46582858,46582859,37177528,37177527,47070961,40954598,32175189,32175188,39270711,30674400,28658435,21414127,21414128,28658441,37177524,43881395,36854823,28356981,28356979 Dl.O(d2) = 257891864,120288598,134119553,272708587,127685389,113818120,99804761,85873971,85873970,99828009,113844223,127715257,141066156,153732454,165508916,176184774,174218340,163365203,151481429,138780089,125451116,111648469,97727731,258619855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16196961, s2 = 6796033, dlinesl.size( ) = 2 s1 = 16196961, s2 = 6796033, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16196961, Dl.E( ) = 68, 2.41e-05 seconds used appending s1 = 6796253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6796253, s2 = 9416665, int(edited[s2]) = 0 s1 = 6796253, s2 = 9416665, d1 = 61, d2 = 89 Dl.O(d1) = 258621509 Dl.O(d2) = 152424108,164298872,175100383,184684838,193053595,200235128,206300574,207432134,201551201,194565051,186409671,177053393,166471525,154765646,142132838,128779227,114883228,100832814,269415118,73239227,60492481,256558018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6796253, s2 = 9416665, dlinesl.size( ) = 42 s1 = 14601486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14601486, s2 = 3368874, int(edited[s2]) = 0 s1 = 14601486, s2 = 3368874, d1 = 7, d2 = 7 Dl.O(d1) = 83894048,97750936,111669856,111669857,111669856,111669855,111669854 Dl.O(d2) = 83894048,97750936,111669856,111669857,111669856,111669855,111669854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14601486, s2 = 3368874, dlinesl.size( ) = 2 s1 = 14601486, s2 = 3368874, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14601486, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 2111441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3372035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3372035, s2 = 527878, int(edited[s2]) = 0 s1 = 3372035, s2 = 527878, d1 = 64, d2 = 22 Dl.O(d1) = 111750564,111750565,125557727 Dl.O(d2) = 18851511,13431281,13431280,18851509,25449344,33195204,32312217,24698612,24698611,32312215,41125410,43126738,34050656,34050655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3372035, s2 = 527878, dlinesl.size( ) = 2 s1 = 3372035, s2 = 527878, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3372035, Dl.E( ) = 66, 2e-05 seconds used appending s1 = 13212273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6475562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14964903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14964903, s2 = 8444750, int(edited[s2]) = 0 s1 = 14964903, s2 = 8444750, d1 = 19, d2 = 24 Dl.O(d1) = 36956781,268379889,15260196,10699258,7068566,4450410,4450412,7068572,6053505,6053504,6534152,9941629,9248067,6056743,3791795,2271401,2271400,3791790,3793901,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404543,5404546,8374276,254248424,4596610,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,254234114,254521290,254578870,17263950,12143550,8173079,254396658,3201125,254133928,12143548,11360903,7547967,5283047,5283044,8211816,12081368,8124202,5204883,5204884,8124206,12081372,17182212,23460918,20127147,17294656,17294653,23597233,18725738,17330157,12205153,8237145,8237144,8228282,8228281,8229074,12198219,17317204,14435667,12178015,9929042,9929041,14431203,14431204,20122838,22514245,27018504,23629864,17313951,17313952,17316203,17316202,23632207,22031366,16331414,11362325,8224348,7549053,4774184,2877564,1670126,1670130,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350986,9502478,9502477,13851895,19365507,26044568,33866643,255091462,22496742,29852775,22487135,22487136,22495443,16321642,16321644,22021441,15920226,11356118,11356119,16323047,22021467,22021465,29352774,37920340,38423957,36806091,29847716,29847715,38416752,39796374,43863961,34593336,34593338,39825842,31143437,23656337,17339536,17339537,23588433,31071954,29853118,29853119,38420939,31142463,23655347,17338467,17338469,23655352,29859224,23621348,22494291,22004415,22004414,16327915,16304333,16304331,15329594,15329593,16319792,11354065,7543940,4771526,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983876,10586751,15327936,21294447,22474658,29841853,30318323,30166104,30166105,29614315,29614314,36783992,36783991,38414140,46669944,36783352,28286609,28286610,22084039,22084040,22692623,16491146,16491145,22692620,30072563,29842652,22475576,16305343,16305344,22475578,22472530,22472531,254760072,16684146,11645989,11645990,15141812,14935558,14935557,20834135,22493434,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,16458988,22650385,16736703,11693155,11693156,15922556,15922557,17258978,21570676,21570678,21298370,21298371,21296595,21296596,23596803,22020219,15918793,15918791,12517832,12517833,17698285,21570543,15548142,10753509,10753510,15548146,16355493,16355495,22528241,22650624,23574723,23570079,17258855,12138927,8168718,8168717,12138924,17258849,23570071,17321389,12196471,8226758,8226759,12196474,16355460,16355458,17321406,17316367,17316365,22515166,16341970,15546931,10752564,10752562,11370631,16341928,22515372,16343306,16343305,22506913,254575312,16356943,11383042,11383041,16356940,22529581,22525037,22525036,29880786,35102594,38805974,30222566,22830459,16609255,16609254,18726097,13330825,13330826,11380263,11380265,254182750,9926759,9926760,12139168,8168906,8168905,12139162,12170803,12193755,8224137,8224135,12193748,16333193,254834622,267791063,1670210,2877754,4774572,7549823,11363797,16333151,22506953,22509514,17161374,17161375,21242781,28465282,23045938,16800105,11746866,11746868,10473946,6906016,6906019,7842596,7842597,9260600,9260598,9266747,6968536,5771240,3595082,2143809,1238351,1238352,2143815,1512372,857464,484134,484136,857470,1512389,2619767,4373204,6060806,3792119,3792120,6060808,5195616,5195615,8109559,12061058,17157616,268665093 Dl.O(d2) = 257384958,15017450,15017449,20925227,18701496,18701494,18668032,13276382,9061118,5924617,5924618,3723168,2229247,2229245,3723161,5210217,3720220,3709744,3709743,4292081,4292080,6840521,4292201,2566184,1477625,835382,470832,264589,264590,470837,835395,1477655,2556168,1472336,1472337,2556169,4226476,4226477,6745123,6842657,10383151,15057457,268615276,36594249,46460508,57816632,70517918,84053019,97923683,111857868,125673716,139012560,151716623,163595497,174436189,262624172,261617108,125710628,111892914,97955156,97955155,259264441,84081210,97955154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14964903, s2 = 8444750, dlinesl.size( ) = 20 s1 = 6898087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3374604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15112487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16085837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16085837, s2 = 9340667, int(edited[s2]) = 0 s1 = 16085837, s2 = 9340667, d1 = 72, d2 = 40 Dl.O(d1) = 133083443,146310305,158677522,168183127,156692874,262388545,177008245,168183107,168183110,170034355,170034366,170034364,263197822,166422928,154711768,146310319,133083450,260057040,105062000,119254211,133083452,146310322,158677544,170034371,168183108,168183110,170034355,170034366,158677538,158677537,170034362,180198844,180198836,170051239,170051240,180198792,170034317,158677494,158677496,158677504,146310296,146310297,158677508,170034328,180198806,189138953,180214438,180214437,180214414,170051236,158694392,146326305,146326304,158694387,170034343,158694399,158677526,146310309,146310310,158677529,263277605,144267379,144267378,156692870,168183109,168183110,170034355,170034366,158677538,146310317,260656858 Dl.O(d2) = 15014586,17187673,20921444,15014524,15014525,20921448,19347033,19347034,26022787,25430264,18836240,13420718,9176000,9176001,13420725,18836658,24616532,18166423,18166421,24616508,18166412,18166411,24616502,254435524,13325382,9104723,9104725,13325386,18719363,25293345,33019174,41961880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16085837, s2 = 9340667, dlinesl.size( ) = 2 s1 = 16085837, s2 = 9340667, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16085837, Dl.E( ) = 74, 3.7e-05 seconds used appending s1 = 6749001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6749001, s2 = 11158930, int(edited[s2]) = 0 s1 = 6749001, s2 = 11158930, d1 = 20, d2 = 35 Dl.O(d1) = 258055188 Dl.O(d2) = 102773251,102773250,258308252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6749001, s2 = 11158930, dlinesl.size( ) = 2 s1 = 6749001, s2 = 11158930, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6749001, Dl.E( ) = 36, 1.5e-05 seconds used appending s1 = 8230435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8230435, s2 = 9034585, int(edited[s2]) = 0 s1 = 8230435, s2 = 9034585, d1 = 21, d2 = 29 Dl.O(d1) = 106676617,257753712,33605981,25808109,25808108,24389303,24389302,31922130,40637919,40816918,33325146,25919413,19257565,19257566,25151252,18835292,18594285,17793555,16841926,13837845,13837841,11778109,11778112,13837849 Dl.O(d2) = 261066480,260487435,262140235,262557502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8230435, s2 = 9034585, dlinesl.size( ) = 34 s1 = 14094369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16126675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16170851, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3103108, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16299764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2474134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6901593, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15878911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15878911, s2 = 15872123, int(edited[s2]) = 0 s1 = 15878911, s2 = 15872123, d1 = 76, d2 = 65 Dl.O(d1) = 259743941,272062121,126707233,140054604,152744654,262665667,184894015,274001336,264966421,221759270,265544775,228177122,229799317,266104539,232530527,266320749,235723488,235814553,266007636,232652350,231374477,229948691 Dl.O(d2) = 126206215,139580956,152310332,262080926,262887341,132051538,132051539,118231706,104072650,89943384,258349067,261281034,104072651,118231707,268447736,268688634,269410750,167681710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14035006, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6799704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799704, s2 = 14135168, int(edited[s2]) = 0 s1 = 6799704, s2 = 14135168, d1 = 51, d2 = 11 Dl.O(d1) = 258653111 Dl.O(d2) = 220562426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799704, s2 = 14135168, dlinesl.size( ) = 40 s1 = 6780778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9400403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9400403, s2 = 3808983, int(edited[s2]) = 0 s1 = 9400403, s2 = 3808983, d1 = 15, d2 = 13 Dl.O(d1) = 52326631,64178009,77326220,91246321,260261653,112416019 Dl.O(d2) = 70942149,257427811,36978716,28481403,28481404,29196352,29196378,21884115,21884114,29196374,29196373,23915407,23915406,31406457,257073901,258265587,78260511,92287282,106585356,120833738,134631118,147762310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9400403, s2 = 3808983, dlinesl.size( ) = 14 s1 = 1449723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1449723, s2 = 14138672, int(edited[s2]) = 0 s1 = 1449723, s2 = 14138672, d1 = 0, d2 = 28 Dl.O(d1) = 37371318,47280564,58671749,71405968,256959050 Dl.O(d2) = 218795236,264767974,226242604,226242603,224112083,221655731,218795234,263912554,211309288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1449723, s2 = 14138672, dlinesl.size( ) = 22 s1 = 6939181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6939181, s2 = 4038342, int(edited[s2]) = 0 s1 = 6939181, s2 = 4038342, d1 = 19, d2 = 15 Dl.O(d1) = 260360181,98481083,84558613,70995146,58280481,46915041,37037452,28538912,28538913,21315576,15344760,15344759,21315575,28538916 Dl.O(d2) = 58280491,46915049,46915050,58280489,70995153,259293167,112471858,126338392,139713055,152437641,164310665,173020932,161857364,149553696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6939181, s2 = 4038342, dlinesl.size( ) = 16 s1 = 9445834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9445834, s2 = 8535530, int(edited[s2]) = 0 s1 = 9445834, s2 = 8535530, d1 = 23, d2 = 21 Dl.O(d1) = 181092456,170987071,273050774,147323906,134111828,120280288,106079043,106079041,91883350,77958223,64762929,52842669,42438037,33445190,25674597,19053078,19053080,25674602,33445197,42438044,52842678,64762938,77958227,91883355,106079045,112478167,98486427,84563165,70999264,58284118,46918304,46918303,58284117,70999265,84563167,98486428 Dl.O(d2) = 175120136,184701572,193067383,192420179,183953070,174290565,163442605,151559773,138856894,125523794,111716479,97793750,83934680,70408444,57714306,46364797,36506431,254390424,19165427,13685761,10305141,6776969,4247935,4247932,6776979,10305152,14972867,18820610,18820609,25412219,21719458,21719457,29005309,25412887,25412888,33153612,25412499,25412500,33153615,30544746,30544747,33154302,42108879,46693425,38618900,30044862,30044861,255051114,21103179,15158641,13408411,255172886,9167077,13408317,13408425,9167134,9167133,7180527,4523403,4523402,7180509,7180511,10860789,15688671,21736153,15687134,10859793,7184041,4525913,4525912,7184034,10865677,15695940,21748197,29025443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9445834, s2 = 8535530, dlinesl.size( ) = 26 s1 = 15066829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15066829, s2 = 3645190, int(edited[s2]) = 0 s1 = 15066829, s2 = 3645190, d1 = 15, d2 = 13 Dl.O(d1) = 166854032 Dl.O(d2) = 126355209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15066829, s2 = 3645190, dlinesl.size( ) = 22 s1 = 14637159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7194900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7194900, s2 = 416590, int(edited[s2]) = 0 s1 = 7194900, s2 = 416590, d1 = 18, d2 = 21 Dl.O(d1) = 263858016,152542192,261104402 Dl.O(d2) = 21381593,15399099,10643136,7026817,4419953,2651567,2651568,254499715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7194900, s2 = 416590, dlinesl.size( ) = 8 s1 = 3398658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3398658, s2 = 7860949, int(edited[s2]) = 0 s1 = 3398658, s2 = 7860949, d1 = 16, d2 = 0 Dl.O(d1) = 112609193 Dl.O(d2) = 10650250,7032245,7032246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3398658, s2 = 7860949, dlinesl.size( ) = 26 s1 = 6902628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13622257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13622257, s2 = 2148361, int(edited[s2]) = 0 s1 = 13622257, s2 = 2148361, d1 = 1, d2 = 1 Dl.O(d1) = 263008625,263504296,263106214,164563801,152725959,152725957,164563797,175328111,262182742,164563815,152725968,140031402,126678382,112821404,112821403,259934960,140031410,270813866,112821417,112821410,98830389,84904164,71331449,71331448,84904162,98830391,112821414,126678396,126678377,112821408,98830388,84904160,71331447,71331446,84904158,98830383,112821398,126678376,126678393,126678394,271308330,112821406,112821405,112821428,98830401,257453526,71331450,84904167,98830398,112821425,126678407,140031421,128002204,114114765,100081708,86115156,72515978,258773053,97696620,111615153,125414029,138737548,151433046,163311551,162661654,150542830,137514024,137514025,123791963,109604184,95352035,95352036,98656241,112652248,126516398,126516399,112652237,98656229,98656231,98656228,98656227,84726440,259304585,84726433,84726450,71156791,71156792,84726428,71156769,58435201,47060009,37168370,28651226,28651225,37168368,46929587,37051570,28651228,21408574,15420338,10659805,10659806,15420340,21408577,28551685,21327052,21327051,28551682,37051565,46929586,47060036,258053587,47060022,46929590,37051571,37051572,46929592,46929578,46929577,58295344,71010278,58435221,47060024,47060019,47060018,58435215,71156785,71010277,71010276,84574105,84726456,89755949,75977060,62994341,51315273,257728249,75977064,89755955,103859589,109403124,95149283,81091869,67626306,62994359,51315285,41131791,32318112,24703807,255225563,8798208,5730987,5730988,254893643,18233222,24703798,32318094,41131765 Dl.O(d2) = 263008625,263504296,263106214,164563801,152725959,152725957,164563797,175328111,262182742,164563815,152725968,140031402,126678382,112821404,112821403,259934960,140031410,270813866,112821417,112821410,98830389,84904164,71331449,71331448,84904162,98830391,112821414,126678396,126678377,112821408,98830388,84904160,71331447,71331446,84904158,98830383,112821398,126678376,126678393,126678394,271308330,112821406,112821405,112821428,98830401,257453526,71331450,84904167,98830398,112821425,126678407,140031421,128002204,114114765,100081708,86115156,72515978,258773053,97696620,111615153,125414029,138737548,151433046,163311551,162661654,150542830,137514024,137514025,123791963,109604184,95352035,95352036,98656241,112652248,126516398,126516399,112652237,98656229,98656231,98656228,98656227,84726440,259304585,84726433,84726450,71156791,71156792,84726428,71156769,58435201,47060009,37168370,28651226,28651225,37168368,46929587,37051570,28651228,21408574,15420338,10659805,10659806,15420340,21408577,28551685,21327052,21327051,28551682,37051565,46929586,47060036,258053587,47060022,46929590,37051571,37051572,46929592,46929578,46929577,58295344,71010278,58435221,47060024,47060019,47060018,58435215,71156785,71010277,71010276,84574105,84726456,89755949,75977060,62994341,51315273,257728249,75977064,89755955,103859589,109403124,95149283,81091869,67626306,62994359,51315285,41131791,32318112,24703807,255225563,8798208,5730987,5730988,254893643,18233222,24703798,32318094,41131765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13622257, s2 = 2148361, dlinesl.size( ) = 2 s1 = 13622257, s2 = 2148361, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13622257, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 8344585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13253887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3177095, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2150739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2150739, s2 = 11534792, int(edited[s2]) = 0 s1 = 2150739, s2 = 11534792, d1 = 0, d2 = 54 Dl.O(d1) = 58486490,270292797 Dl.O(d2) = 266035544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2150739, s2 = 11534792, dlinesl.size( ) = 54 s1 = 6802714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6802714, s2 = 8815711, int(edited[s2]) = 0 s1 = 6802714, s2 = 8815711, d1 = 77, d2 = 140 Dl.O(d1) = 258681959 Dl.O(d2) = 266191308,266394648,266064356,230755516,229251925,227550973,225606662,225606663,227550975,229251928,230755520,230755518,229251926,265938533,227550973,225606662,223370977,223370978,223370009,220783453,217745149,265487585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6802714, s2 = 8815711, dlinesl.size( ) = 30 s1 = 13426657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13426657, s2 = 11167800, int(edited[s2]) = 0 s1 = 13426657, s2 = 11167800, d1 = 62, d2 = 73 Dl.O(d1) = 58008087,70723468,84274991,98170162,260493161,126613448,112757781,98767825,98767824 Dl.O(d2) = 48774555,256445459,22873278,16645195,11613159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13426657, s2 = 11167800, dlinesl.size( ) = 2 s1 = 13426657, s2 = 11167800, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13426657, Dl.E( ) = 74, 2.1e-05 seconds used appending s1 = 3403599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3403852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14920098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7638265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7638265, s2 = 1903733, int(edited[s2]) = 0 s1 = 7638265, s2 = 1903733, d1 = 7, d2 = 12 Dl.O(d1) = 270386010,258883878,114960288 Dl.O(d2) = 126678296,260122642,164563744,175328058,164563743,152725895,140031317,126678293,259507714,258827929,73318100,60575356,49176560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7638265, s2 = 1903733, dlinesl.size( ) = 2 s1 = 7638265, s2 = 1903733, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7638265, Dl.E( ) = 14, 2.19e-05 seconds used appending s1 = 14061370, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2402270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2402270, s2 = 13240369, int(edited[s2]) = 0 s1 = 2402270, s2 = 13240369, d1 = 31, d2 = 36 Dl.O(d1) = 65381953,65381954,71414892,84988810,98914187 Dl.O(d2) = 12160087,13930183,9561402,6273937,6273936,9561399,13930179,12127840,12127839,17245601,14064579,9672879,6361969,6361970,9672882,14064585,12303757,12303758,15073774,10396728,6853315,4300925,4300924,6853311,10396719,13462511,13462512,10784899,10784896,13462457,12724833,12724834,15586506,14914810,14914809,20810587,27974169,21619482,15589294,10784325,10784326,14609031,10428017,6875221,4315960,4228808,4228809,6748825,10269907,14933226,20831610,27995857,35067219,26983935,26983934,28895159,29360159,22029755,15928640,254322942,22719930,16514936,15051363,10377498,6838036,4290436,2565128,1477102,835175,835172,1477061,2565027,4290248,6837670,10376998,268199271,28138056,36611675,46477662,57833382,70534776,84071029,97943913,111880141,125696932,125696934,125696933,270963036,84071030,84071031,97943916,111880145,125696932,125696934,125696933,119335885,105139329,90955013,77071495,63956977,256571022,41820022,32896943,25187352,18627196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2402270, s2 = 13240369, dlinesl.size( ) = 2 s1 = 2402270, s2 = 13240369, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2402270, Dl.E( ) = 44, 1.22e-05 seconds used appending s1 = 14088918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088918, s2 = 8122277, int(edited[s2]) = 0 s1 = 14088918, s2 = 8122277, d1 = 54, d2 = 41 Dl.O(d1) = 260024559,128133245,260541156,259940296,258694654 Dl.O(d2) = 49254799,60572961,71040943,58325653,46958570,37078180,28574565,21345985,21345984,17049263,17049264,17049301,17049299,23311520,30730029,32972742,32972743,39328170,39328171,39328409,39328411,257603585,58325602,49174132,39248996,30653158,30653159,38800409,48721368,60116071,49255138,39328358,37078123,256857529,39248999,39249001,49174142,60572951,59109021,47711137,47711136,59109017,71847599,71040950,71040949,58325669,58325618,58325617,71040910,58325571,58325572,52262820,49255092,39328327,37078221,28574596,21346011,15370859,15370858,255828089,37078217,46958607,58325681,46958618,37078237,28574608,21346019,21346018,28574603,37078231,46958614,58325687,71040960,71040909,58325562,58325563,47711177,47711178,59108986,256907893,37790189,37790159,37078206,37078209,46958582,37078199,28574585,21346000,15370850,10620894,7009374,7009372,10620888,15370832,21345969,28574540,37078154,46958540,37790119,29228094,29228093,37790115,37790292,47711215,41924426,41924425,52262794,53232620,42781494,33750771,25943400,19280012,19280011,25943396,28574574,25943405,25943406,29228212,21911931,21911932,29228214,37078026,28574439,21345898,15829702,10969938,7261126,4579311,4579312,7261128,10969939,15829707,21911886,21911910,15829724,10969953,7261137,7009376,4406424,4406425,7009382,10620904,15370868,21345964,28574531,29228229,37078000,29228245,21911955,255062393,10969971,15829757,21911964,21911945,15829751,10969967,10969969,15829754,21911951,29228239,28574365,21345843,21345842,28574361,28574375,21345851,15370765,15370766,21345807,21345808,28574318,28574369,37077948,28574578,21345996,21345812,15370749,10620844,7009348,7009349,10620845,15370750,21345814,28574325,37064146,37174503,47066872,37174219,29226912,28656232,21412619,255398022,10662302,15423601,21412626,28656243,35328593,28656141,28656143,37064151,28562636,28562637,37064167,46943223,47066960,258054177,257485906,47066867,46943243,37064182,37064183,43040410,268509974,37771285,37771284,47692713,59091324,58443305,47067009,37174361,37174364,42894436,33849682,26028826,26028827,33849687,33849715,26028839,19351788,13840472,9493636,9493635,13840470,19351786,26028837,256323869,28656077,37174227,47066882,58443228,71165462,258096134,256906204,71165627,58443388,47067148,37174498,37174499,47067150,53360424,42894506,33849744,33849743,37174184,47066832,268217312,28656019,28656018,37174133,33849703,33849702,42894468,38283616,38283617,48192990,38283612,29716926,22360922,22360921,29716921,38283603,48192983,59579417,72314050,84735523,71165557,71165558,84735509,71165526,71165525,71165518,71165517,78669123,72314053,71107563,71107564,71651278,85217046,92732226,107071729,112660835,98665050,98665025,84735548,71165536,71165530,58443235,58443234,71165528,65364204,53360307,42894385,33849652,33849651,42894383,53360304,59091401,59091403,59579434,53360345,53360344,256959618,59091666,59091667,58929341,47546978,37640680,37640679,47546973,58929334,61932902,50442383,50442384,48269939,48269940,59656647,50023890,40005416,40005415,47546956,37640668,37640667,38359516,38359515,33633689,29090256,21792221,15733758,10896989,10896987,268215135,29090188,37640603,47546870,50442333,40408257,255870002,61933049,61771917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088918, s2 = 8122277, dlinesl.size( ) = 2 s1 = 14088918, s2 = 8122277, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14088918, Dl.E( ) = 68, 2.31e-05 seconds used appending s1 = 6804030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6804030, s2 = 7282134, int(edited[s2]) = 0 s1 = 6804030, s2 = 7282134, d1 = 35, d2 = 39 Dl.O(d1) = 258694979 Dl.O(d2) = 264944276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6804030, s2 = 7282134, dlinesl.size( ) = 48 s1 = 8568436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3136153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3136153, s2 = 4854602, int(edited[s2]) = 0 s1 = 3136153, s2 = 4854602, d1 = 29, d2 = 20 Dl.O(d1) = 98961304,259006262 Dl.O(d2) = 273091168,200128952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3136153, s2 = 4854602, dlinesl.size( ) = 2 s1 = 3136153, s2 = 4854602, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3136153, Dl.E( ) = 40, 2e-05 seconds used appending s1 = 6937414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6937414, s2 = 12210929, int(edited[s2]) = 0 s1 = 6937414, s2 = 12210929, d1 = 49, d2 = 95 Dl.O(d1) = 260330166 Dl.O(d2) = 266159646,266368144,237805416,238499083,239134570,239718834,240259094,266818706,241652186,242016382,242016381,242383475,267061685,241186355,241617733,242016383,274890793,240031534,239475604,238873899,266667857,236708001,235838740,234883979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6937414, s2 = 12210929, dlinesl.size( ) = 16 s1 = 3181748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3181748, s2 = 6737688, int(edited[s2]) = 0 s1 = 3181748, s2 = 6737688, d1 = 17, d2 = 13 Dl.O(d1) = 100117075,259324567,71477787,58748611,58748612,71477788,85049414,98974544,94742944,80664868,67190151,67190150 Dl.O(d2) = 109023309,123248673,109023303,259043524,67190148,54870772,44070431,44070428,257209742,44070432,54870775,259145573,109023313,123248687,137016748,150094233,162262665,173332880,183163334,191759681,183163329,173332867,162262652,261448458,123248672,109023303,259043524,67190148,54870772,44070431,34753712,26733665,26733664,34753711,44070426,257896307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3181748, s2 = 6737688, dlinesl.size( ) = 2 s1 = 3181748, s2 = 6737688, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3181748, Dl.E( ) = 18, 2.31e-05 seconds used appending s1 = 6715863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8610607, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3143685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16068902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3145942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3147510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3148883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14573717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3149253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3149253, s2 = 16232348, int(edited[s2]) = 0 s1 = 3149253, s2 = 16232348, d1 = 7, d2 = 37 Dl.O(d1) = 99365001 Dl.O(d2) = 210517193,214754163,218240732,218901350,215522227,211433221,206431275,200383237,193223518,184881727,175328956,175328952,164564606,164564607,175328955,184881725,193223516,272914014,193223507,261867392,184881730,175328958,164564609,152726827,140032422,140032421,152726824,164564603,260755548,184881729,193223520,200383231,193223504,184881712,184881713,184881721,193223510,193223506,184881718,175328951,164564605,260158274,184881719,193223509,200383234,262372950,193223507,261867392,184881730,175328958,175328957,184881728,193223506,184881714,175328949,164564604,259544016,126679605,258296300,152726821,164564603,175328948,184881713,184881721,193223511,193223512,200383231,200383230,206431272,206431273,206431274,262372952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3149253, s2 = 16232348, dlinesl.size( ) = 2 s1 = 3149253, s2 = 16232348, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3149253, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 10189324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15066190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15066190, s2 = 2487302, int(edited[s2]) = 0 s1 = 15066190, s2 = 2487302, d1 = 10, d2 = 5 Dl.O(d1) = 255641090,32550117,40949589,40949590,41399769,41399768,51639604,63381488,76424530,90254971,104407312,118592372,259628368,113428368,99425904,85484098,71899077,59161151,47762671,268951666,21950561,29273889,37840278,29956125,22591846,16409056,16409057,22591848,29956128,38521092,48428777,59161147 Dl.O(d2) = 70991763,58277299,258042071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15066190, s2 = 2487302, dlinesl.size( ) = 2 s1 = 15066190, s2 = 2487302, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15066190, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 16023889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15197661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6826714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6826714, s2 = 6856169, int(edited[s2]) = 0 s1 = 6826714, s2 = 6856169, d1 = 29, d2 = 37 Dl.O(d1) = 258913486 Dl.O(d2) = 259322258,125941490,112107909,98148703,84254767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6826714, s2 = 6856169, dlinesl.size( ) = 34 s1 = 16172105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16172105, s2 = 11277074, int(edited[s2]) = 0 s1 = 16172105, s2 = 11277074, d1 = 17, d2 = 20 Dl.O(d1) = 268262191,255196865,24159929,31669447,40364016,50399126,47248482,257999219,46349755,256954617,255915217,16292592,11335619,7532831,4765151,4765152,7532833,4765154,2872548,2871882,1666776,948102,948103,1666777,2871884,4764044,7146629,4500147,2935970,2935971,4872190,7698195,11565918,16585736,20905109 Dl.O(d2) = 85206586,71641263,58920010,47538576,37632748,29082454,255426745,10889600,7201312,4537008,2727142,2727143,4537009,7201313,10889601,14384503,254974343,9898502,14385098,9893625,6501453,4532655,2724637,1578817,897643,897646,506456,506458,897686,1578935,2724856,4532971,6505957,9899061,14356855,10882127,267886017,4532721,7194922,7374934,7374933,6481481,6481482,6496791,4070943,4070942,4076559,2439135,1410241,1190695,1190697,2073047,2432944,4065636,6488393,6495013,4069839,2435330,2435329,4069837,6495012,267886527,2734742,1584613,900871,508167,284951,284952,508172,900892,1584652,2734803,4549573,7220900,10918363,15765160,21833933,21253808,15289171,15289170,15840604,10977108,10977109,15184262,254720623,6905806,10473649,15184264,21133977,15287532,255269479,9267936,9267935,268147159,13538356,13538359,18973373,25551725,18952479,13515907,13515904,18952469,18961997,18961999,17538631,17538633,17165140,12068906,8115672,8115671,12052296,12052298,17148754,13506803,9241366,7134415,7134416,8854578,10568489,15287981,10553363,6960375,6960374,10553360,12067481,12067480,15274578,12062556,9241480,6052620,3795620,2273530,2273531,3795623,6063047,6063853,6064328,9259045,6064309,6058160,6058162,8115702,5199365,3172029,3172030,5199368,8115708,12068955,254403624,14450240,9941378,6534001,4094044,2449359,2449357,4094036,6533986,9941354,14450213,17245850,12128027,254296886,18704294,18704293,25276827,22753819,22753820,254296050,16298132,14929948,14929949,13318692,9099020,5953271,5953273,9099028,13318711,14596480,13307779,13307776,16024587,14564161,10021776,10021777,14564167,19319718,13814716,13814715,15809095,16517687,16517686,17888454,14609329,10052601,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524660,14601922,14601923,10047512,10047511,10047572,7661379,7661378,11517374,16525536,254274358,12502736,8469375,5474500,5474499,8469371,11682303,12502958,8469545,8469546,12502967,17679687,17679344,17679345,12506327,12506325,17682742,24033912,27199118,20272433,20272434,27199123,21314858,21314859,17679665,17679664,17679418,15360155,15360156,17918732,24302061,21967482,15873565,14545095,14545094,18750804,13349490,9121763,5968778,5968779,9121770,13349506,18750836,16633275,16633274,12502779,11980139,8028228,5117341,5117342,8028229,11980143,12502724,11682307,11682309,8469552,5474628,5474621,5474620,8469393,8469391,12502771,17679429,18244538,24717635,21366807,21366808,17679633,17679174,17679175,15366078,10616924,7006280,7006281,10616930,15355877,12695592,12695593,17918740,15873575,11002379,10007559,10007558,10633936,10633935,15387296,18750787,17795243,12595985,12595982,16633279,16633281,22859329,30254475,254912050,60152258,256112442,77866709,64676640,52761609,42361989,33373078,255675315,13556036,13556035,9329887,8556495,5553394,5553393,8556492,6090609,6090608,9297609,9347288,13591412,13591411,11814460,10014393,10014392,14554132,13670835,9361729,6132084,3836410,2298365,1333588,1333587,2298361,3836399,6132055,9342078,13642455,19107337,17842408,12634932,12634933,13547444,9364600,9364599,13616833,13624382,13624398,9329352,9329350,13624390,19082975,19087706,13627812,10581421,6980454,4385970,4385969,6980449,8295216,5351403,5351402,8295223,6120771,3829522,2294312,1331168,760132,760129,1331153,2294280,3829458,6120666,6094717,6094718,6113807,6113810,8611985,12680135,9336548,9336551,13634819,16384867,13646433,9344486,9344489,6123604,6123603,8565501,8565502,12618515,12680093,12680094,17900186,19065049,19065050,17779467,12582752,8535380,5533329,3418815,3418813,5533326,8535375,12582750,12657405,12657406,9349118,9349119,13652978,19122303,24192094,31699965,24191822,17822644,17822643,19154647,13677675,13677676,19154648,25800940,33597759,33384603,30840764,23411039,19006405,19006406,25620672,25625081,19035669,19035670,25620765,33384435,256556300,19127943,19127942,24191450,24191451,31699642,40392396,38371657,29799291,22432822,22432823,29799297,37897329,29328759,21998383,15899067,11021910,11021911,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16172105, s2 = 11277074, dlinesl.size( ) = 8 s1 = 7678406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7678406, s2 = 8249132, int(edited[s2]) = 0 s1 = 7678406, s2 = 8249132, d1 = 11, d2 = 15 Dl.O(d1) = 272227868,113606787 Dl.O(d2) = 72054157,59319549,47926801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7678406, s2 = 8249132, dlinesl.size( ) = 26 s1 = 8675014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14201318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3161855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3161855, s2 = 7842576, int(edited[s2]) = 0 s1 = 3161855, s2 = 7842576, d1 = 32, d2 = 66 Dl.O(d1) = 99634536 Dl.O(d2) = 254084947,82827,82830,150563,150565,271599,482649,854592,1507216,1507619,854844,482794,271671,271668,482783,854819,1507579,2611302,4355596,2614557,1515863,1515865,254223399,855130,855131,1508050,2611986,4356015,2609328,2609327,4356014,4353777,2624322,2606662,1504255,852698,481583,481584,484918,272780,151170,151172,271023,271022,481549,852633,485257,485258,859514,1515989,2609452,4356152,6933116,10513770,10816321,7148338,7148339,10816309,15630189,15229874,10505846,6927634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3161855, s2 = 7842576, dlinesl.size( ) = 32 s1 = 11277390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277390, s2 = 5594267, int(edited[s2]) = 0 s1 = 11277390, s2 = 5594267, d1 = 76, d2 = 18 Dl.O(d1) = 13402882,9163261,5997286,3750531,3750532,5997287,9163263,13402878,9163259,5997284,3750530,2245894,254203915,743198,743199,1302719,2245946,3750523,5997076,3750369,3750370,5997079,9162977,13188202,13188201,9162960,254919475,9163376,5997379,3750603,2245943,2245942,3750600,5997375,8990373,8990372,9162933,5997350,5869698,3665044,3665045,5869700,3750431,2245824,1302642,1302641,2245823,3750427,5997172,9163113,255258735,25402731,25402730,33142250,42096404,42097027,39414889,39414888,256620629,32826417,32826393,25122320,18570700,13196626,8996147,6390252,4010451,4010452,6390254,9713156,14117885,12695886,8625147,8625146,10999913,10999912,15870775,19690230,19690231,14117900,14117901,19690274,22123092,29457205,38019227,29544363,22201143,22201142,29544361,38107543,48017638,59404550,72134805,72134806,85719263 Dl.O(d2) = 229191729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277390, s2 = 5594267, dlinesl.size( ) = 2 s1 = 11277390, s2 = 5594267, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11277390, Dl.E( ) = 80, 2.22e-05 seconds used appending s1 = 14260039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14260039, s2 = 7857252, int(edited[s2]) = 0 s1 = 14260039, s2 = 7857252, d1 = 20, d2 = 30 Dl.O(d1) = 261990220 Dl.O(d2) = 37984425,267946966,22091042,19510802,19510805,26225596,29422265,30058212,22681423,22681422,26950904,20066310,20066312,21167560,21167563,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,2733654,1584019,1584020,1584000,1584002,2733621,4547419,7217365,10913108,14359858,14359859,20045091,15499958,15499956,21508899,28769849,37303201,35019452,35019453,44394993,55243282,59296542,47901401,47901400,256215844,46847733,36968881,28470306,21249424,21249423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14260039, s2 = 7857252, dlinesl.size( ) = 2 s1 = 14260039, s2 = 7857252, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14260039, Dl.E( ) = 50, 4.01e-05 seconds used appending s1 = 3163700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8314814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8314814, s2 = 10341535, int(edited[s2]) = 0 s1 = 8314814, s2 = 10341535, d1 = 69, d2 = 79 Dl.O(d1) = 269337865,72162359,85756890,99710945 Dl.O(d2) = 21711228,15668779,254744979,4516690,2714402,1572663,894169,504462,504464,894175,1572679,1572330,1572329,1782473,1782472,3057983,3084182,1800169,1790254,1790255,1799394,1799393,1803862,1803863,3088541,1806977,1806979,1572868,1572869,1798926,1026429,578309,578305,1026419,1026879,1026881,1016727,573081,573079,532622,298759,165555,91208,50303,50304,91211,165562,298773,532646,579766,579767,1028938,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1572193,893889,504308,282781,282780,504297,893858,1019512,574481,574477,1019493,1782394,3057893,5047786,4886928,254547483,11598498,7991173,5086321,3085622,1801365,1028144,579322,579324,1028146,1801369,3085623,254562027,5043825,5049351,3072771,1792150,1779650,1779646,3054300,254562029,254568340,11873241,11871060,11871059,7957180,7957181,267795334 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3436208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8065354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6702078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6702078, s2 = 1486597, int(edited[s2]) = 0 s1 = 6702078, s2 = 1486597, d1 = 142, d2 = 235 Dl.O(d1) = 257516486 Dl.O(d2) = 38062232,29499431,255043382,22160803,22160847,16039564,11137161,7387168,7387169,11137163,16039567,22160881,29499750,256338508,22404482,22404479,29767218,38338167,38062285,38062286,47974363,38062283,38062284,257507641,72097955,85684415,99633586,100270571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6702078, s2 = 1486597, dlinesl.size( ) = 92 s1 = 16338995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309716, s2 = 7180041, int(edited[s2]) = 0 s1 = 11309716, s2 = 7180041, d1 = 35, d2 = 29 Dl.O(d1) = 85878886,85878885 Dl.O(d2) = 263643785,178173744,167717425,156112165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309716, s2 = 7180041, dlinesl.size( ) = 16 s1 = 14485526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11149650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3445009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6811699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6811699, s2 = 2774202, int(edited[s2]) = 0 s1 = 6811699, s2 = 2774202, d1 = 23, d2 = 31 Dl.O(d1) = 258765507 Dl.O(d2) = 81298028,81298029,258735752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6811699, s2 = 2774202, dlinesl.size( ) = 38 s1 = 3178050, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13515495, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6812370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6812370, s2 = 14514030, int(edited[s2]) = 0 s1 = 6812370, s2 = 14514030, d1 = 45, d2 = 119 Dl.O(d1) = 258771137,100049858 Dl.O(d2) = 258838794,64330015,52462329,52462327,64330014,269373578,259463220,99515667,259976323,260268595,257783171,42069412,256123263,18799261,255660205,25384630,25384629,33120375,25384626,25384625,33120373,25384635,18799263,13391916,9155219,9155218,13391913,18799258,25384628,33120376,33120377,258397927,91337390,270877898,61245824,74026100,87630095,101597259,115637709,129522868,142839960,263226253,194949332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6812370, s2 = 14514030, dlinesl.size( ) = 22 s1 = 16186377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 349639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 349639, s2 = 14139120, int(edited[s2]) = 0 s1 = 349639, s2 = 14139120, d1 = 84, d2 = 139 Dl.O(d1) = 8788817,5724534,5724533,4226078,4226080,4117144,2462540,2462542,4117148,6143876,9378536,10967892,7259728,4578463,2754596,2754597,4578468,7259734,5948274,3719860,3719861,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,4135766,6601655,6601656,254775172,14598094,14986049,14986047,20889530,15808837,10954928,10954927,15808834,15591701,10786039,7126556,7126555,10786036,10049934,6603995,6603994,10049931,6749051,4228920,4228921,6749053,10270261,14933712,20794721,27956171,29918454,268641029 Dl.O(d2) = 229350687,265945017,265808781,227675283,265777890,227222447,225226978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 349639, s2 = 14139120, dlinesl.size( ) = 30 s1 = 3181770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3454435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3454435, s2 = 16225842, int(edited[s2]) = 0 s1 = 3454435, s2 = 16225842, d1 = 13, d2 = 19 Dl.O(d1) = 114243285 Dl.O(d2) = 29986161,22618854,16434185,13379899,9145430,5984751,5984752,7614745,7614744,11449307,16434187,22590481,22031846,16422407,16422405,22605398,17107506,12021690,8081912,8081913,12021692,17107508,23377288,256483429,269374257,60743097,58285646,46919831,37041883,28542954,21319621,15349062,15349061,15349052,10603248,10603249,15349055,21319613,28542945,35328225,35328226,44756033,55666309,52684714,52684715,52684723,43853694,34582182,34582181,43853691,47377976,43063468,34679601,34679600,28929554,28929555,37470852,47377905,43063482,34005662,34005660,26163921,19463488,19463487,26163916,31753495,24241587,17865763,17865762,24241586,31753492,37471015,47378078,58765320,71495183,85067703,98993694,112983735,126837917,140186615,152877926,140222994,126875868,113023426,99035250,85110265,71538893,58809905,47422761,37515009,28971585,21689562,15650061,10832291,10832290,15650060,21689560,17821815,255588551,31699042,40391861,50425644,61915882,74709480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3454435, s2 = 16225842, dlinesl.size( ) = 2 s1 = 3454435, s2 = 16225842, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3454435, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 14967437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13965363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100320, s2 = 16344277, int(edited[s2]) = 0 s1 = 14100320, s2 = 16344277, d1 = 70, d2 = 75 Dl.O(d1) = 33245412,25495015,18890223,18890218,25495024,26345000,26344998,29557323,22212189,22212188,19166032,13686211,13686213,17466730,12314307,8317904,5367412,5367413,7409253,7409254,7409074,4681562,2820704,1636464,930549,524486,524485,930546,1636441,2820653,4681481,4681496,7408965,9666249,6356292,6356295,9666257,14057274,19616651,26345706,34219491,43317082,53840860,65907410,64839444,52914763,52914762,42505409,42505408,33506587,268196444 Dl.O(d2) = 164113548,174934790,184541760,192931858,200129468,206207705,264715633,218733402,221597583,224057397,226190851,265694811,265974277,265974274,231125148,232421939,266097388,265974277,232421940,231125150,229678607,229678606,231125148,231125149,229678607,265536064,226190850,228048545,229678608,231125151,266207737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100320, s2 = 16344277, dlinesl.size( ) = 2 s1 = 14100320, s2 = 16344277, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14100320, Dl.E( ) = 76, 2e-05 seconds used appending s1 = 14095829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16075949, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3459240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6987189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3460280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3320990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3320990, s2 = 13609181, int(edited[s2]) = 0 s1 = 3320990, s2 = 13609181, d1 = 16, d2 = 27 Dl.O(d1) = 106821569 Dl.O(d2) = 256980489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3320990, s2 = 13609181, dlinesl.size( ) = 2 s1 = 3320990, s2 = 13609181, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3320990, Dl.E( ) = 30, 7.15e-06 seconds used appending s1 = 15128285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3464907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9027277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3200298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13451359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8207432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8207432, s2 = 2718361, int(edited[s2]) = 0 s1 = 8207432, s2 = 2718361, d1 = 4, d2 = 7 Dl.O(d1) = 87910562,74306654,73114114,73114115,86719831,100695511,100695517,86719835,86719836,100695518 Dl.O(d2) = 128645340,120286003,259737266,77965549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8207432, s2 = 2718361, dlinesl.size( ) = 2 s1 = 8207432, s2 = 2718361, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8207432, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 3205202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3205202, s2 = 11223406, int(edited[s2]) = 0 s1 = 3205202, s2 = 11223406, d1 = 0, d2 = 80 Dl.O(d1) = 100776151 Dl.O(d2) = 261907836,88116016,74504778,61723554,61723553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3205202, s2 = 11223406, dlinesl.size( ) = 56 s1 = 16064639, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14089783, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6498448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6817820, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15913896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3212169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10223364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10223364, s2 = 13279416, int(edited[s2]) = 0 s1 = 10223364, s2 = 13279416, d1 = 1, d2 = 1 Dl.O(d1) = 100936105,100936074,86952658,260070029,100936082,114990061,100936112,95623995,95623996,109828132,123967642,128891882,142243004,128891892,114990059,100936081,86952670,86952669,100936079,100936052,86952629,73341301,60596504,49195900,39269819,39269820,39269813,30673583,30673582,39269809,49195912,60596526,73341336,86952664,86952692,100936086,259453547,73341374,60596558,60596559,73341377,86952703,95623995,95623996,109828132,123967642,128891882,142243004,128891892,114990059,100936081,86952670,86952669,100936079,100936052,86952629,73341343,73341305,60596506,60596505,73341303,86952633,86952704,73341379,73341378,73341380,73341381,270874495,270355015,60596538,49195921,257598703,73341305,60596506,60596505,73341303,86952633,86952704,73341379,73341378,73341380,73341381,270874495,270355015,60596538,49195921,39269818,39269820,39269813,30673583,30673582,39269809,49195912,60596525,60596552,268971149,30673591,23257614,23257615,256473627,49195930,60596556,258829483,100936107,260070035,86952697,259453545,73341341,60596533,49195916,49195915,258206457,259453543,114990056,114990043,100936062,260669305,86952643,86952637,259109952,49195934,257598707,73341387,86952707,81590430,68100645,55702942,44795332,35370593,35370592,44795328,39269805,39269804,30673589,23257613,16994554,16994553,23257610,257018233,258206455,86952648 Dl.O(d2) = 100936105,100936074,86952658,260070029,100936082,114990061,100936112,95623995,95623996,109828132,123967642,128891882,142243004,128891892,114990059,100936081,86952670,86952669,100936079,100936052,86952629,73341301,60596504,49195900,39269819,39269820,39269813,30673583,30673582,39269809,49195912,60596526,73341336,86952664,86952692,100936086,259453547,73341374,60596558,60596559,73341377,86952703,95623995,95623996,109828132,123967642,128891882,142243004,128891892,114990059,100936081,86952670,86952669,100936079,100936052,86952629,73341343,73341305,60596506,60596505,73341303,86952633,86952704,73341379,73341378,73341380,73341381,270874495,270355015,60596538,49195921,257598703,73341305,60596506,60596505,73341303,86952633,86952704,73341379,73341378,73341380,73341381,270874495,270355015,60596538,49195921,39269818,39269820,39269813,30673583,30673582,39269809,49195912,60596525,60596552,268971149,30673591,23257614,23257615,256473627,49195930,60596556,258829483,100936107,260070035,86952697,259453545,73341341,60596533,49195916,49195915,258206457,259453543,114990056,114990043,100936062,260669305,86952643,86952637,259109952,49195934,257598707,73341387,86952707,81590430,68100645,55702942,44795332,35370593,35370592,44795328,39269805,39269804,30673589,23257613,16994554,16994553,23257610,257018233,258206455,86952648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10223364, s2 = 13279416, dlinesl.size( ) = 2 s1 = 10223364, s2 = 13279416, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10223364, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8007641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6963771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7625306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14912384, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3727967, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7647291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7647291, s2 = 11093236, int(edited[s2]) = 0 s1 = 7647291, s2 = 11093236, d1 = 179, d2 = 142 Dl.O(d1) = 270850300,101125322,115203124,129134740,142512049,155156425,166849395,166849375,155156405,155156404,155156412,142512040,142512039,155156410,166849377,177396679,186712325,194825699,186712351,177396698,166849390,155156421,142512048,142512049,155156425,166849395,166849375,155156405,155156404,155156412,142512040,142512039,155156410,166849377,177396679,186712325,194825699,186712351,177396698,166849390,155156421,142512048,142512049,155156425,166849395,166849375,262785213,177396702,177396701,186712329,186712319,177396673,166849371,166849370,177396672,186712317,186712339,186712338,263953823 Dl.O(d2) = 262186236,259939188,87917574,87917575,74314106,61537405,257652560,37381691,37381666,255845117,21570471,28841784,256329911,21474019,256329909,47169620,58558543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7647291, s2 = 11093236, dlinesl.size( ) = 2 s1 = 7647291, s2 = 11093236, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7647291, Dl.E( ) = 180, 5.6e-05 seconds used appending s1 = 7688270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7688270, s2 = 7628109, int(edited[s2]) = 0 s1 = 7688270, s2 = 7628109, d1 = 0, d2 = 0 Dl.O(d1) = 272590704,101151075,269949942 Dl.O(d2) = 272590704,101151075,269949942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7688270, s2 = 7628109, dlinesl.size( ) = 2 s1 = 7688270, s2 = 7628109, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7688270, Dl.E( ) = 2, 1.91e-05 seconds used appending s1 = 7040319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7040319, s2 = 11309170, int(edited[s2]) = 0 s1 = 7040319, s2 = 11309170, d1 = 60, d2 = 51 Dl.O(d1) = 261725226 Dl.O(d2) = 142861492,272894393,262276186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7040319, s2 = 11309170, dlinesl.size( ) = 6 s1 = 8413171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3221829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3488848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3488848, s2 = 11189586, int(edited[s2]) = 0 s1 = 3488848, s2 = 11189586, d1 = 3, d2 = 4 Dl.O(d1) = 115291371 Dl.O(d2) = 120135836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3488848, s2 = 11189586, dlinesl.size( ) = 2 s1 = 3488848, s2 = 11189586, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3488848, Dl.E( ) = 78, 1.91e-05 seconds used appending s1 = 8237146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8237146, s2 = 9534533, int(edited[s2]) = 0 s1 = 8237146, s2 = 9534533, d1 = 40, d2 = 31 Dl.O(d1) = 137512435,259322614,115130246,258696112,107089183,92748805,259713253,121386443,115113249,101038727,87042423,87042424,101038722,112227337,261003217,137512386,123790098,109602037,95349493,95349494,109602039,114685798,100640374,86667174,73061808,258810431,100640370,114685794,115130273,115130272,115130264,101055621,101055620,115130263,101530615,87572830,87572831,101530618,259322628,115130266,101055623 Dl.O(d2) = 19364105,26042959,33864996,42910557,53376924,65380890,78685476,92748740,107089107,259784350,258706844,58065953,58065954,70783388,84342104,98249327,109602068,259490154,78685463,258865760,257633900,53376962,65380956,258857260,101530619,101530623,107089080,107089079,92748843,92748842,107089239,121386515,260575574,148401861,135236375,121386468,107089205,92748817,78685538,65380925,53376946,42910569,255999990,19364106,26042962,33865001,42910573,53376952,65380938,78685553,260575546,107089163,115130284,101055638,87059578,87059579,101055641,115130289,121386291,259941748,126083149,115782873,115782872,123790181,123790180,128582986,123790163,109602123,95349564,81293092,67827070,67827069,70783389,61380182,49899617,49899618,258248359,87765148,101737739,115782882,115559970,101530631,87572841,73974644,61196251,61196250,73974641,87572839,101530627,115559966,129437736,142756708,140824560,258527366,164055524,260397258,257907042,111632818,113588388,99571851,99571852,98249276,84342065,70783361,70783360,84342062,258395824,259156658,85621225,72032763,59296421,255327586,254688928,22090603,23858545,254315710,254214558,14395893,14395892,20078404,268547989,254971920,40102751,40102752,50123061,59601691,59601692,256636628,85930647,256121344,59601693,59601694,72336715,74379655,61603027,61603026,256214618,101955220,115999735,258525262,113588416,111632841,111632839,259154514,128583052,141944104,140824596,137512355,123790050,123790052,111632765,260465845,109602063,95349514,81293053,81293054,83852271,95349530,81293067,67827055,67827053,259156778,87765162,101737759,115782904,258022566,125673383,139012208,151716289,152363363,155348144,148401850,259156670,129679417,115782915,101737766,87765166,259495021,115782912,109602163,109602165,271398112,121386310,135236263,129040757,115113235,101038719,87042415,87042414,101038715,115113231,126083091,112227335,112227334,121386472,121386471,126271942,112408846,98419918,98419919,112408848,125673381,129833421,115933703,101887398,87913022,74309204,61531828,255327590,87913023,101887400,115638233,115933679,115782942,101737796,101737797,259784394,121386557,107089282,92748871,92748869,95349642,81293150,81293149,95349640,109602194,123790233,113588427,99571886,99571888,113588428,125435845,115559936,115559937,111632827,111632826,101530601,87572823,73974629,61196245,49717670,49717671,61196250,73974641,87572839,101530627,115559966,115559981,101530638,87572843,73974645,61196252,255992884,31021932,31021931,255992882,255155602,23540832,23540827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8237146, s2 = 9534533, dlinesl.size( ) = 12 s1 = 3490749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14700664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14700664, s2 = 16173540, int(edited[s2]) = 0 s1 = 14700664, s2 = 16173540, d1 = 24, d2 = 23 Dl.O(d1) = 26043990,33866003,42911530,53377810 Dl.O(d2) = 3669676,5877025,3669432,3669430,5877116,9002508,13206332,18584013,18588035,13209278,13209277,9856266,6474300,6474299,9856263,14345987,13207228,13207229,18585334,25140195,32846039,41766450,52079992,271360490,105067650,260846491,146317210,158684984,170042129,180206104,189145093,196886645,203511913,209060225,213614103,217343241,220449009,223086879,225362943,227340765,227340764,229070012,229070013,230595738,231953628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14700664, s2 = 16173540, dlinesl.size( ) = 2 s1 = 14700664, s2 = 16173540, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14700664, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 14920363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14920363, s2 = 11047094, int(edited[s2]) = 0 s1 = 14920363, s2 = 11047094, d1 = 54, d2 = 41 Dl.O(d1) = 132812921,132812922,146042209,158417230,261917308,125440110,111637613 Dl.O(d2) = 258404878,58272709,256644298,47165981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14920363, s2 = 11047094, dlinesl.size( ) = 2 s1 = 14920363, s2 = 11047094, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14920363, Dl.E( ) = 74, 4.01e-05 seconds used appending s1 = 14174554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14174554, s2 = 4680895, int(edited[s2]) = 0 s1 = 14174554, s2 = 4680895, d1 = 76, d2 = 175 Dl.O(d1) = 270839603 Dl.O(d2) = 189578968,197268400,203828233,209304860,213797178,217483147,220557573,223172248,225432082,227396552,229114665,230632286,230750888,229246642,227544838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14174554, s2 = 4680895, dlinesl.size( ) = 2 s1 = 14174554, s2 = 4680895, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14174554, Dl.E( ) = 210, 6.7e-05 seconds used appending s1 = 16312335, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14802248, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3231086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14922057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6661444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6661444, s2 = 13296855, int(edited[s2]) = 0 s1 = 6661444, s2 = 13296855, d1 = 154, d2 = 144 Dl.O(d1) = 257060085,61417772,258873961,101771470 Dl.O(d2) = 2430218,4060457,6479763,9864481,6484816,254564257,5076154,7976676,11132660,11132661,9895581,9895582,14389749,17008636,11922427,7976603,5076097,4533737,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725128,4533433,6535170,4094677,4073435,2437368,1409358,1409361,2437395,4073501,5030103,6549437,9965159,14372128,14372129,15627150,15627151,12287055,12287058,14367980,14367979,14369571,14365632,9872322,9872321,10883822,7196527,4533855,4533856,7196529,7196345,4533725,254510749,267841443,1883545,1883546,1075433,1075429,1884999,3217229,4612092,4613310,3197807,3197808,5238615,4617659,4617660,7315202,7300174,4604673,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782913,2782910,3186701,1864826,1063821,1063820,1864825,3186697,4965218,2998907,1741686,1741687,2998911,4965225,7823391,8195543,8195273,8195272,8195282,5265326,5265327,3256677,3256673,5305676,8233596,12202113,17263414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6661444, s2 = 13296855, dlinesl.size( ) = 24 s1 = 7074989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6967012, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6775004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6775004, s2 = 8136315, int(edited[s2]) = 0 s1 = 6775004, s2 = 8136315, d1 = 20, d2 = 24 Dl.O(d1) = 258306724,65500139,53477838,53477837,65500137,61464650,49987340,39971520,31297274,31297273,39971518,49987336,61464648,258878143 Dl.O(d2) = 38811256,38811255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6775004, s2 = 8136315, dlinesl.size( ) = 2 s1 = 6775004, s2 = 8136315, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6775004, Dl.E( ) = 32, 6.91e-06 seconds used appending s1 = 6500858, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3743536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15867456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15867456, s2 = 2811972, int(edited[s2]) = 0 s1 = 15867456, s2 = 2811972, d1 = 57, d2 = 46 Dl.O(d1) = 58487171,71208898,84777735,84777734,98705822,101028156,101028157,99982288,86021809,86021807,87031844,73414350,256532480,39341089,30742013,23321236,17056060,17056059,17056064,17056065,23321244,23321242,17056063,17056062,23321239,30742023,39341100,49266970,47287001,47287003,58678169,71412144,60772887,49371111,39442829,30838786,23409476,23409475,28162437,20982551,20982552,28162439,36637396,46504649,44389799,35012940,26931416,26931415,30740396,23320248,17055507,11964694,8009137,8009136,11964689,8442252,8442251,12453640,12453636,17631716,23978634,31474906,36953077,36953076,28890704,21614583,15585104,15585103,21614579,28890691,31482003,23985234,23985235,31482008,28325181,28325180,32697159,25014671,18485720,13133123,8950717,5842197,5842198,5842218,5842222,8950759,13133196,18485868,25014904,28035891,36498920,31098641,23614941,23614942,27203407,27203409,21510528,21510529,15501292,15501295,17191106,17191108,18741033,18741057,17055949,11964935,11964932,8009261,8009257,5434205,5434208,8419747,12451366,17629945,15832885,15832881,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465116,17640705,23986461,31483356,38352642,29780047,29780050,30838102,30838103,39441750,39441752,47715803,39441576,39441579,48957386,41991031,40165020,36727821,28233905,23448626,22486854,22486852,29852488,30221447,22829349,16608255,11583478,7710069,7710068,11583461,254546603,4879442,7710061,11583459,16608218,22829262,30221308,23359145,23359146,30784165,39386246,40159610,48326584,48326585,59713426,50178373,40153219,31469276,31469275,29851123,29851122,29851234,22485923,22378254,16221932,16221931,22378249,28914981,21640620,21640621,255060304,13374555,18779238,25361911,254647208,52387497,47715832,37795038,37795037,47715830,59113397,52387508,52387507,59113388,47715817,37795026,37795024,38392599,33095380,25361916,18779241,18779239,25361914,33095378,42043427,33095371,25361909,255658054,42043425,257190954,64243358,64243357,77394300,91313344,105531365,119764699,105531345,105531344,91313326,77394289,77394290,91313328,105531352,119764708,119764709,119764710,119764715,105531359,91313338,91313339,105531361,119764717,133634403,146887308,260719618,105531348,105531349,119764705,133634396,146887310,146887313,159258083,159258078,159258079,272380818,146887314,159258087,170593487,164123173,152236183,139505049,126130333,112271228,98289519,84380406,70821757,58105213,46733854,46733855,257209282,84380413,98289525,112271242,126130345,129878802,129878801,143208328,151753860,139051965,126130315,112271214,261079461,152236173,272266278,260133334,259908284,87964153,87964151,87964152,74361924 Dl.O(d2) = 260415605,95533528,81498319,68015063,68015062,64349437,52479253,52479252,64349435,77514987,91444862,105668269,105668311,105668310,109742964,95533570,259804301,123888201,261005809,109742962,109742961,119904264,105668302,91444885,91444886,105668304,109834528,123973958,137655372,150652657,162748394,159401963,159401964,170749451,170749450,170749447,159401959,150652644,150652645,150652633,261010077,259808737,81597590,68108419,55711588,44804758,35380186,27255271,20321984,20321985,27255273,35380189,44804763,55711599,68108420,269357544,49160881,39234253,30636398,23213520,17766558,12572585,8526745,5525380,3411878,3411880,5525385,8526757,12572596,17766568,17766584,17697129,12516846,12516845,17697127,17766564,24050883,24050882,31555206,31583264,28948810,28948811,37491444,30783670,23358823,23358820,30783666,256436760,30891367,23458518,23458521,28952147,22145765,22145762,29483909,23555466,17246552,12128587,8160000,8122839,8122838,12079546,17180049,17690996,12512329,8476558,5479241,5479240,8476555,12512322,17690894,17690909,12513203,12513200,12079540,8122834,8122835,255152607,23458503,30891348,39498586,30891386,23458528,17180051,17180052,23458529,30891387,30891346,30891347,39498583,31545707,31544756,268343526,12513187,12511151,12511152,17689517,12511846,8476263,8476262,12511841,8477177,5479626,3371914,3371913,5479624,8477173,12513186,12511797,12510594,12510593,8476186,5479030,5479029,8475723,5478727,5478729,8475730,12511116,17689474,17691306,17691308,22386872,22386871,29746212,31544372,24040983,17689030,12510701,12510702,17689031,22834582,22085756,22085681,22085680,29416041,37979019,31547695,29416045,22085684,17691415,17691403,12512636,8476749,5479353,5479354,8476752,8476746,5479350,3371750,3371751,5479351,3372004,3371129,3371130,1984153,1984154,1983885,1133173,1133171,1983881,3371417,1983875,1133166,1133165,1133338,1984161,3371464,1983897,1983898,3371465,3371529,3371617,3371616,1983978,1983977,3371621,3371996,3371904,1984119,1133313,1133314,1984120,3371908,5478951,3372062,1984194,1984193,3372060,5479862,8477533,12511612,12512626,12512625,17688083,12509849,255190261,17687969,255075058,8474633,12509727,8475055,5478299,5478298,8475051,7485648,7485652,7356673,4647117,3370973,3370974,5478014,5478495,5478496,8475389,12510677,11113083,7370567,4656242,4656241,4647078,4647077,7356611,11092671,15979166,22085510,255886758,21166979,21166980,28385047,36881626,46760350,46760351,47931253,47896342,47896341,269804733,65568448,65568447,258738016,53543628,43064546,255981494,26164981,31132729,31132727,37027005,35374934,35374935,44799606,44799616,35374941,35374940,44799612,55706795,68103962,59343251,47951949,38038479,29475569,22138755,16021795,16021796,22138756,29475571,38038482,36481904,28020516,255360243,255360241,28020512,36481897,46337949,57685144,70377252,83901676,97758144,111676472,272160987,111676473,259248475,70377260,258622381,97758149,260468905,138804642,151504284,138804625,125477366,111676456,270789105,70377237,70377238,83901656,97758127,111676453,125477359,138804615,151504280,163386201,151504296,138804635,138804634,151504295,163386200,262610875,166195851,166195850,176813454,186206672,184628148,175034209,164228611,152355997,139635249,126264382,112401339,98412111,84510631,258240416,61265662,61265661,74045423,270803124,258862856,84490451,70926174,70926175,84490455,269869580,258035905,58208812,58208813,70926173,58229741,46861801,46861800,58208807,58229743,257048720,84510630,98432180,258862846,74045421,74045420,258249672,258035903,58208825,46840708,256501906,46861799,255997754,50105956,46861802,46840710,46840709,58208826,70926179,67689778,55350097,55350096,67689775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15867456, s2 = 2811972, dlinesl.size( ) = 8 s1 = 13705643, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16307441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6685524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6685524, s2 = 13518044, int(edited[s2]) = 0 s1 = 6685524, s2 = 13518044, d1 = 46, d2 = 67 Dl.O(d1) = 257321395,259170121 Dl.O(d2) = 165657494,153879059,141204882,127843997,113965475,99942647,85984618,72389625,59655390,48268752,38358378,268946745,39328464,39328465,48268269,59654994,72389284,85984269,72389630,72389631,72389627,72389626,85984620,85984622,72389628,72389629,85984623,99942649,113965476,127844000,141204885,153879062,165657495,166046237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6685524, s2 = 13518044, dlinesl.size( ) = 2 s1 = 6685524, s2 = 13518044, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6685524, Dl.E( ) = 70, 2e-05 seconds used appending s1 = 15304069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15304069, s2 = 15923828, int(edited[s2]) = 0 s1 = 15304069, s2 = 15923828, d1 = 10, d2 = 5 Dl.O(d1) = 61599328,74375473,87977208,101949243,115992981,129890218,143219523,155770979,167403009,176073299,165391337,153610171,140942978,127593506,260566490,99710593,85756451,72161835,59422734,256909340,29552410,22207691,16076997,11163906,11163907,16077003,18984806,18984805,24148411,24148409,268688639,29149076,29149075,268932531,59033873 Dl.O(d2) = 113314628,127174249,140520945,139294978,125945661,112111645,98152134,84258224,70706892,57989755,46613582,36726023,29563827,22218223,16086581,11172679,7412619,7412620,11172680,16086582,255894789,268941699,59434474,72173039,85767336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15304069, s2 = 15923828, dlinesl.size( ) = 2 s1 = 15304069, s2 = 15923828, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15304069, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6946417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14488272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14488272, s2 = 4832119, int(edited[s2]) = 0 s1 = 14488272, s2 = 4832119, d1 = 74, d2 = 145 Dl.O(d1) = 267967746,15786927,10936865,7236537,4561983,4561985,7236545,5753172,3582529,3330693,1958791,1958793,3330696,5418207,8396405,12423284 Dl.O(d2) = 182782624,191434633,198879478,198879474 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14102470, s2 = 7938655, int(edited[s2]) = 0 s1 = 14102470, s2 = 7938655, d1 = 20, d2 = 15 Dl.O(d1) = 2923522,2923523,4849637,2922314,1695122,963911,963912,1695129,2922323,4849581,2922275,1695099,1695077,1695076,2922239,2922238,2923472,2923461,1695858,1695859,2922999,2922997,2922164,1695038,963866,963865,1695034,2922158,2922305,2922302,2923345,1695784,964267,543374,304511,168570,92788,92787,168567,304507,543363,963936,543204,543206,963941,1695179,1694997,1694998,2922074,4849258,2922418,1695196,963952,543211,543212,963959,1695202,2922286,1695108,963902,543190,543189,963895,1695090,1695866,964326,543405,543406,964332,1695569,2923006,2922140,1695026,1695025,2922136,2923026,1695587,964160,543314,304478,168557,92784,51202,28804,28805,51206,92793,168585,304535,543417,964287,964285,1695164,1695165,1695819,964296,964295,1695815,2923046,1695600,964168,543319,543321,964174,1695614 Dl.O(d2) = 258808432,8402498,254855919,11915831,11915835,17002712,23266574,23266722,17002788,11915876,7970898,5071815,3075066,3075065,5071811,7970891,11915862,17002766,23266690,256529836,256024276,61630332,61630331,74407779,260129497,261298595,262348000,103487356,256559060,258923024,43312385,34214332,26340793,26340789,34214330,36456954,27998568,20834326,20834327,27998570,268057034,26836406,19966279,14295599,9820534,6451936,6451940,9820583,14295896,19966756,26837105,34900626,257898983,257363616,26836539,26836540,34792716,26758886,19914350,14264152,14264151,19914382,26759085,34793133,44126552,43502144,34366301,34366305,43502165,54077705,54238217,48640470,48640467,54208037,60033709,60033727,49569180,44327400,34953250,34953254,39661757,39661754,49660887,49627122,39640482,30987486,23521161,17221555,12107729,12107730,255542873,254992902,49627166,43441404,43441406,44233980,34878903,26822067,19956964,14289993,14289997,9830880,6458010,4047975,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261378,14261374,19909545,26751257,34782187,44112332,54231048,43599494,256193971,14144696,14144695,19734751,26499181,34421739,43599493,52708146,42320966,34825659,26782350,19930251,19930253,19954886,14289126,9832486,6458838,4048007,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751161,34446797,34446799,34774899,34774897,43765943,54331800,54032811,43828363,43828366,34557830,34557834,42698324,42698321,53148992,65134136,78416053,66656832,62994254,62994251,54939007,54939010,54421910,43729348,43729351,51684981,41437884,32573728,32573725,30937450,30937451,30989784,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,34829634,26785173,26785175,26786060,26786064,26787137,19933788,14276763,14276761,19933859,26511945,30402024,30402021,38990455,43600320,34422106,26549351,26527248,19748381,14150726,14150729,14147436,9729614,9729616,14147543,19741670,26513840,34448539,34491400,256789560,43948986,34674317,26680894,269146912,18088103,12823459,8718460,5675006,5675010,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718442,6537491,6537492,9946958,9946932,9946933,14458130,18065804,18065805,18166949,12883604,12809243,8709422,8709421,8948765,12841621,12841620,18109969,14458017,14458016,18109987,18067457,18067443,13791161,9456410,9456405,8942567,5837639,5837638,8942566,13120029,18141122,24585188,32171073,40950580,51093943,62726118,51093936,51093934,62726115,258954024,62726124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102470, s2 = 7938655, dlinesl.size( ) = 14 s1 = 14741761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3431567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124460, s2 = 15157302, int(edited[s2]) = 0 s1 = 14124460, s2 = 15157302, d1 = 82, d2 = 102 Dl.O(d1) = 257645021 Dl.O(d2) = 227104943,225085186,222760803,220057564,264837095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124460, s2 = 15157302, dlinesl.size( ) = 18 s1 = 6824982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6824982, s2 = 3182049, int(edited[s2]) = 0 s1 = 6824982, s2 = 3182049, d1 = 11, d2 = 1 Dl.O(d1) = 258896383 Dl.O(d2) = 100124735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6824982, s2 = 3182049, dlinesl.size( ) = 8 s1 = 16055915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16055915, s2 = 16109300, int(edited[s2]) = 0 s1 = 16055915, s2 = 16109300, d1 = 172, d2 = 173 Dl.O(d1) = 7444967,10003758,10003759,14186755,9752505,6412386,6412387,9752509,14186763,19805830,14490869,13781533,11385648,7564223,4782869,2882087,2882086,4782866,7564215,11385631,16360708,22534202 Dl.O(d2) = 61254218,49775476,39756851,31079286,24587525,24587524,32173603,33097327,25363758,18858008,13436067,13436066,18858001,15897863,11021077,11021076,15897861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16055915, s2 = 16109300, dlinesl.size( ) = 18 s1 = 8650229, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7022129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7022129, s2 = 1199936, int(edited[s2]) = 0 s1 = 7022129, s2 = 1199936, d1 = 39, d2 = 13 Dl.O(d1) = 261472648 Dl.O(d2) = 30370101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7022129, s2 = 1199936, dlinesl.size( ) = 2 s1 = 7022129, s2 = 1199936, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7022129, Dl.E( ) = 84, 3e-05 seconds used appending s1 = 11255846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255846, s2 = 14164551, int(edited[s2]) = 0 s1 = 11255846, s2 = 14164551, d1 = 1, d2 = 1 Dl.O(d1) = 140893593,270910428,99653122,99653121,99653128,85949552,72354540,59619821,48232754,38322604,29753042,29753043,38322607,47999479,38322601,38322600,48232747,59619811,258761071,270909228,88177198,74562519,61779145,61779144,74562518,88177197,102167800,116228544,130138947,139513019,126138092,112278834,98297333,84388701,84388700,98297332,112278832,126138088,112278837,98297336,98297335,105471145,258069820,64181880,256879006,255845502,255042820,18741681,25320243,31179772,23690253,23690254,31179813,29741254,22382427,16224914,16224912,12456395,12456396,17633963,23980715,31477399,31643027,24136311,24136310,23009324,16770237,11724668,11724672,16770225,23009304,30413979,31177757,23688586,17366834,17366833,23688584,21138465,15187801,10476118,6907359,6907360,10476121,11606568,16638466,17872645,17872643,24249879,29170638,21861041,21841563,21841564,29149755,37709997,29149744,29149745,31178339,23689077,23689081,23689084,23689086,23777505,17447524,17447527,21115013,26904660,31179462,39860422,32174809,32174808,36849513,28351892,21138103,15187578,15187579,18143174,18143173,24306422,22002098,15902055,15902056,255810473,20021709,14340080,14340079,9851753,9851752,14340087,20021723,19842920,14215811,14215809,19842895,14215822,14215820,18143748,18143749,24588516,25320177,18741636,13341756,9115433,5963991,5963992,9115434,13341757,12497865,8465786,8465785,12497863,12497451,12497450,12493396,12493395,17667555,24015766,31517166,257083457,31526560,31517562,24016159,256029751,40204180,31526804,31526805,31526829,40212606,31527231,31527233,40213099,40213130,39377086,30775662,24023750,24023749,31525660,31527558,40212256,31526564,31526565,31525517,31525518,40211436,39715454,39715455,31527020,31527019,40212836,40213434,40212808,31526986,28069092,28069091,36535927,46396840,57747612,70442750,258748282,257515280,33106184,255659341,13381144,13381143,18786986,25371271,32986677,41926981,33010354,25285390,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,18712353,25285262,28654784,21411668,15422940,10661855,7041156,267824682,254732376,25507393,18897072,13465548,9207997,268025923,18897075,25507401,22130133,16015316,16015318,14985093,10316880,6786940,6786941,7375646,7375645,11119877,9208006,6028146,3771246,3771245,6028143,9207999,13465553,15549252,15549251,21571896,28843353,29465475,29465476,22130639,16015783,11120117,7375807,4659779,4659778,4659679,2807316,1628596,926057,926055,1628591,2807308,4659654,7375561,6028122,3771234,2259617,2259616,3771229,6028112,9207945,12680882,12680881,16015535,16015463,15549093,10754115,7104896,7104897,10754118,11119932,11119933,16015558,21571888,28843348,37383189,47292357,58683263,71416790,73334078,60589696,60589697,73334075,73334074,86944914,257601252,64352265,64352266,64352273,77517546,258927934,113629328,258927932,119351369,119351370,133185966,119906584,271525243,90966265,105152951,105670739,102621324,88615067,88615068,102621326,256562996,77080378,63963694,52140904,41823750,254881214,63963693,77080376,85666516,72079965,257695468,47954954,258116047,85633400,99583670,113599249,119351368,113629317,99615338,85666506,258927926,257695466,72079953,269012836,99615329,258304882,88483433,88483431,88483432,269893338,72079953,269012836,99615329,258304882,88483433,74847688,74847687,88483432,257810128,85666499,85666498 Dl.O(d2) = 140893593,270910428,99653122,99653121,99653128,85949552,72354540,59619821,48232754,38322604,29753042,29753043,38322607,47999479,38322601,38322600,48232747,59619811,258761071,270909228,88177198,74562519,61779145,61779144,74562518,88177197,102167800,116228544,130138947,139513019,126138092,112278834,98297333,84388701,84388700,98297332,112278832,126138088,112278837,98297336,98297335,105471145,258069820,64181880,256879006,255845502,255042820,18741681,25320243,31179772,23690253,23690254,31179813,29741254,22382427,16224914,16224912,12456395,12456396,17633963,23980715,31477399,31643027,24136311,24136310,23009324,16770237,11724668,11724672,16770225,23009304,30413979,31177757,23688586,17366834,17366833,23688584,21138465,15187801,10476118,6907359,6907360,10476121,11606568,16638466,17872645,17872643,24249879,29170638,21861041,21841563,21841564,29149755,37709997,29149744,29149745,31178339,23689077,23689081,23689084,23689086,23777505,17447524,17447527,21115013,26904660,31179462,39860422,32174809,32174808,36849513,28351892,21138103,15187578,15187579,18143174,18143173,24306422,22002098,15902055,15902056,255810473,20021709,14340080,14340079,9851753,9851752,14340087,20021723,19842920,14215811,14215809,19842895,14215822,14215820,18143748,18143749,24588516,25320177,18741636,13341756,9115433,5963991,5963992,9115434,13341757,12497865,8465786,8465785,12497863,12497451,12497450,12493396,12493395,17667555,24015766,31517166,257083457,31526560,31517562,24016159,256029751,40204180,31526804,31526805,31526829,40212606,31527231,31527233,40213099,40213130,39377086,30775662,24023750,24023749,31525660,31527558,40212256,31526564,31526565,31525517,31525518,40211436,39715454,39715455,31527020,31527019,40212836,40213434,40212808,31526986,28069092,28069091,36535927,46396840,57747612,70442750,258748282,257515280,33106184,255659341,13381144,13381143,18786986,25371271,32986677,41926981,33010354,25285390,18712496,13381039,13381038,18786851,18712561,18712559,25285433,25285216,18712355,18712353,25285262,28654784,21411668,15422940,10661855,7041156,267824682,254732376,25507393,18897072,13465548,9207997,268025923,18897075,25507401,22130133,16015316,16015318,14985093,10316880,6786940,6786941,7375646,7375645,11119877,9208006,6028146,3771246,3771245,6028143,9207999,13465553,15549252,15549251,21571896,28843353,29465475,29465476,22130639,16015783,11120117,7375807,4659779,4659778,4659679,2807316,1628596,926057,926055,1628591,2807308,4659654,7375561,6028122,3771234,2259617,2259616,3771229,6028112,9207945,12680882,12680881,16015535,16015463,15549093,10754115,7104896,7104897,10754118,11119932,11119933,16015558,21571888,28843348,37383189,47292357,58683263,71416790,73334078,60589696,60589697,73334075,73334074,86944914,257601252,64352265,64352266,64352273,77517546,258927934,113629328,258927932,119351369,119351370,133185966,119906584,271525243,90966265,105152951,105670739,102621324,88615067,88615068,102621326,256562996,77080378,63963694,52140904,41823750,254881214,63963693,77080376,85666516,72079965,257695468,47954954,258116047,85633400,99583670,113599249,119351368,113629317,99615338,85666506,258927926,257695466,72079953,269012836,99615329,258304882,88483433,88483431,88483432,269893338,72079953,269012836,99615329,258304882,88483433,74847688,74847687,88483432,257810128,85666499,85666498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255846, s2 = 14164551, dlinesl.size( ) = 2 s1 = 11255846, s2 = 14164551, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11255846, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 8623457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7674043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7674043, s2 = 14194224, int(edited[s2]) = 0 s1 = 7674043, s2 = 14194224, d1 = 13, d2 = 20 Dl.O(d1) = 272076172 Dl.O(d2) = 255306080,22180336,16054160,16054159,22180334,29522903,22219147,16087265,11173138,7412947,4684115,4684116,7412951,11173148,16087278,13797510,9461469,6203735,6203734,9461464,13797507,19297988,22568332,16387524,11405483,7579108,7579109,11405486,13849294,9500642,9500643,13849297,19362195,19362188,19362187,26040659,268258538,38489472,29928811,22568520,22568521,29928751,29928664,29928662,38489379,34292793,254600304,35013363,254838702,38094843,29867176,29867174,26153819,26153821,30907223,35012854,26931359,26931361,26931378,20045501,20045499,23971647,31467355,31479964,30742316,23321454,23321450,30742308,23990665,17645893,12472517,12472519,17645904,23990688,31466228,30838308,23409159,17134541,17134540,17134530,17134531,23409139,30838262,267911448,40153328,31469393,23973682,23973681,31469389,254187194,31472838,40157088,50181834,50311980,50311979,46820494,46820493,58186772,50182513,40157854,40157855,50154385,40132549,31452252,31452253,25890378,19230877,19230878,22486513,22486512,29852048,38420065,48328422,50202233,50254977,55457755,55457756,61667416,61667417,57990991,57990990,52380133,52380131,50311801,47683559,46627405,36739357,30839055,30839056,23991517,17646748,17646747,23991515,31488735,31475877,31475878,40160391,32350093,24734296,254598142,41165004,51350145,61662536,58601678,47212045,37305451,28771835,254617712,24276114,24276113,31789461,40484327,254599956,27961871,36420035,46272654,48666398,38744684,30161569,22772824,16558192,11541512,7678429,7678430,11541515,16558199,11541553,7678442,4858566,2927932,1698389,965718,965717,1698383,2927921,4858549,7678406,11541458,16558071,22772563,30161147,38743876,30160914,22772421,16558000,16558002,15116711,15116709,21045513,28245021,24542277,23978696,17634952,17634948,23981683,31478494,30161140,254861682,23994021,17649862,12478487,255187457,23994014,31491476,40176954,47212210,41164606,41164607,40602204,31893309,24365225,23986841,22188290,22188289,29530896,34319096,34319095,38850549,38850550,43419975,53946306,50193235,50193236,60164978,58004289,58004290,48770676,38850836,38850835,36589661,36589662,28245202,21045606,15116761,10426931,10426932,15116763,21045611,21510484,15501256,15501254,21510474,28771568,37305034,38386628,29852518,29852521,38304776,38304692,29736711,22378723,22378724,29736717,33047467,33047465,29736066,22378194,22378197,29328362,36957768,28457510,21231462,21231460,22333440,16186484,11251351,11251352,16186488,22333447,22377919,18779581,18779578,25362252,30266575,24530911,18098545,18098546,18510387,24531002,23814997,22864704,22864703,29736359,22378447,16222044,11277011,11277010,16222035,22378437,23555813,23995631,29735878,22378037,22378038,29735883,22378812,22378811,29736821,29232598,21915555,21915558,29232605,31468247,23972612,17624438,12444035,8412443,8412442,12444033,17624432,23972605,257078991,256636106,74447514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7674043, s2 = 14194224, dlinesl.size( ) = 2 s1 = 7674043, s2 = 14194224, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7674043, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 15260455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6719193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8339359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3518652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3518652, s2 = 12654561, int(edited[s2]) = 0 s1 = 3518652, s2 = 12654561, d1 = 9, d2 = 20 Dl.O(d1) = 116504193 Dl.O(d2) = 59723516,61344461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3518652, s2 = 12654561, dlinesl.size( ) = 2 s1 = 3518652, s2 = 12654561, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3518652, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 14935526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13661973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14952933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14952933, s2 = 7843996, int(edited[s2]) = 0 s1 = 14952933, s2 = 7843996, d1 = 33, d2 = 29 Dl.O(d1) = 258381411,260761547 Dl.O(d2) = 269376946,24335548,17945795,12716361,8640244,8640245,12716363,17945799,24335542,21617840,21617839,28893851,31734041,26192671,20860963,14959376,12471963,12471964,10044973,10044974,14598368,20340437,25313852,25313851,30109536,30109535,23554253,23554252,17950455,12720167,8643135,8643134,12720164,14927102,10264426,8799032,8799033,12934108,10021426,10021424,11338162,11338163,11949247,7998793,7998791,11949244,17034713,12418224,8393469,5416653,3329884,3329886,5416660,8393480,10021718,6586672,6586674,10021725,14564068,20295364,24677679,20913354,15008176,15008175,20913350,28086570,27010875,27010874,22722194,16517116,14606697,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,10689494,10689493,255358184,10270496,14934022,19809854,19809853,25273202,28902428,21627834,15596917,10789619,10789620,10045178,6601182,6601181,10045175,14598664,20340772,21619833,15591979,10786241,10786240,14955845,10289311,6763875,6763873,10289308,9337720,9337723,8335326,5379761,3308081,1946146,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835172,1477063,2565034,4290266,6837698,8336233,5380381,3310477,1947555,1112541,1112546,1947544,3310449,5383415,8340544,12345379,17507919,23850470,26247454,26247452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14952933, s2 = 7843996, dlinesl.size( ) = 26 s1 = 15415924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3260480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6828115, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9138106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9222212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10214558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10214558, s2 = 3264440, int(edited[s2]) = 0 s1 = 10214558, s2 = 3264440, d1 = 16, d2 = 8 Dl.O(d1) = 260188125,260188127,117511207,117511199,260785213,117511196,117511212 Dl.O(d2) = 117511206,103385578,89295261,259572691,75538791,62601528,50980303,50980304,62601529,75538790,62601528,62601527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10214558, s2 = 3264440, dlinesl.size( ) = 2 s1 = 10214558, s2 = 3264440, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10214558, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 15250874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15250874, s2 = 9350374, int(edited[s2]) = 0 s1 = 15250874, s2 = 9350374, d1 = 1, d2 = 2 Dl.O(d1) = 1344232,1385218,787897,446314,446313,787894,1385214,2393496,3993867,6365270,9678167,14072432,255716643,23553024,28250479,21050115,19078015,19078016,25704560,28248703,28248702,33554941,25765393,21048468,15118861,15118859,21048463,28248662,36744499,32085563,24511690,18082145,12819472,8716034,8716033,12819471,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079845,255014412,32085734,40857114,50991365,62613334,75551060,89306669,103395999,115197792,115197790,115197791,101119912,87121880,73503133,73503134,73503135,60754099,49351151,39421454,31679286,24171211,24171212,31679288,40372715,50407577,61898139,74691881,88319560,102315259,116407675,130244327,143572079,156107053,167710807,178166739,187394275,195317187,187269483,178025492,167557825,155946321,143407454,130079189,116171538,102114040,88126310,74514148,61732531,50254158,40234755,40234756,50254159,50254155,40234757,31548839,24045309,17692902,12513856,12513855,255547357,29277550,255439321,15862523,15862522,10994499,10994498,15217459,15217458,21177471,21182322,21182324,28403122,28495341,33151242,25410643,25410645,33151243,28495337,28495336,25034024,18500857,13144180,13144177,18500842,23052612,30460392,29682839,22331230,16184838,11250267 Dl.O(d2) = 29277546,33646001,27014350,255330285,9926088,6523643,4087498,4087499,2761598,1600889,1600888,2761593,4590113,7278207,255065263,268396313,256912841,59165929,71904086,85489134,71904087,59165934,59165933,59165934,256912843,37844544,37844543,37844542,37844545,29277557,29277556,37844544,47767192,59165932,51776191,256608113,32620262,41502501,51776185,46296720,36443400,27984111,27984112,36443403,46296723,36443409,27984115,20819625,14922188,10261034,6742786,6742785,10261032,14922184,15273195,15273197,17545591,17545590,20287722,20287723,17575999,12404152,8383031,5409718,5409717,8383027,8370716,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,15305137,12407159,12403093,12403091,11968485,11968484,12435964,12375431,12375432,17544837,16210637,11268612,7480346,7480345,11268611,16210635,12384496,12384495,17555014,15470371,10697310,10697311,15470373,12389781,12389785,17560593,20970922,20970923,21460197,17557536,12389565,8372542,8372544,9075111,8622061,8622056,12692008,12398026,12398007,8378619,8378617,254843665,5340932,8277794,8370138,12386504,17548103,17548104,23894138,23901632,17557158,17557157,23901630,254653894,22879378,16651044,16651045,15182145,15182146,21131034,18952759,18952758,17383080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15250874, s2 = 9350374, dlinesl.size( ) = 2 s1 = 15250874, s2 = 9350374, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15250874, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 7699846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6611447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8162093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8162093, s2 = 14152175, int(edited[s2]) = 0 s1 = 8162093, s2 = 14152175, d1 = 35, d2 = 39 Dl.O(d1) = 191648595,261821306,271388452,18674368,18119778,12848361,9132374,5976308,5976305,9132365,13362722,18415541,23826437,18415392,18415390,18119001,12847889,8736866,8736863,12847880,18118979,23363121,17488732,12330919,8329988,5376214,5376215,8329999,5688133,3538455,3538451,5688119,8737285,9066793,13283100,18675656,25246097,31580028,30438674,30438675,29997366,29997367,254816274,39028175,39028173,48950494,39429931,268111138,23398189,24557590,32139411,40916808,44524653,55370875,61700885,61700886,62687946,57991908,46616042,36728330,29451259,22117483,22117482,29451258,38013334,42021173,38654868,38654867,47490789,55395829,51057755,42760575,40196293,40196291,38649111,30073293,22693302,16491647,11490299,11490304,12074671,17173034,23449131,30880041,31684231,25497682,18892381,18892385,25497697,33248529,39485856,41907463,39485789,39485787,48589554,39058732,39058731,47791758,37867195,37867198,40196387,40196389,37999404,29436645,29436647,32969231,25246966,18676230,255648015,268737859,52245576,257418724,20168189,255383044,35147845,36728319,28234378,28234379,21695803,15655355,10836207,10836208,15655359,21695809,28978621,37522637,40914026,32136245,32136244,40914025,49727840,41908549,41908548,41905565,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,8740277,5690102,3539763,3539762,5690097,8740263,12852793,13016397,8862408,8862407,13016396,15519137,21533489,25427617,18834090,18125845,18125844,24565821,258952499 Dl.O(d2) = 239284376,239857158,240385858,240876230,241330619,241751546,242140304,242500725,242836457,243148839,242836458,242836459,243148840,243441668,243713961,243965791,244199982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8162093, s2 = 14152175, dlinesl.size( ) = 2 s1 = 8162093, s2 = 14152175, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8162093, Dl.E( ) = 48, 2.31e-05 seconds used appending s1 = 3267271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103778, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14103780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9545693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9545693, s2 = 9397075, int(edited[s2]) = 0 s1 = 9545693, s2 = 9397075, d1 = 0, d2 = 13 Dl.O(d1) = 33209036,42168896,50156952,50156953,61640472,74422147,88032551,102015443,116070504,129976921,129976922,143307942,133827473,272374939,157357720,144944457,131696091,117868452 Dl.O(d2) = 31453756,23960103,17611867,17611866,23960098,23960099,23960127,23960126,31453790,40134594,50156951,40134555,40134557,50156955,44829326,35403754,35403755,44829328,55737012,55737004,44829322,40134583,31453780,31453779,40134582,50156985,50299166,40278706,40278705,50299164,61778555,55337526,44491713,35114853,35114854,44491715,40278680,40278681,40278704,31594361,24090958,17733464,17733463,24090957,31594360,40278702,50299160,61778551,74561975,88176680,92358849,78325323,78325322,75637846,62693448,51064048,40923391,40923389,42614575,53062411,65045408,78325312,78434689,72612739,59874044,256458290,29997800,29997799,38568467,256625982,64429657,64429648,64429649,77598485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9545693, s2 = 9397075, dlinesl.size( ) = 8 s1 = 3535346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3273809, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13704889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3274585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3274585, s2 = 7032334, int(edited[s2]) = 0 s1 = 3274585, s2 = 7032334, d1 = 1, d2 = 14 Dl.O(d1) = 104010097 Dl.O(d2) = 261635488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3274585, s2 = 7032334, dlinesl.size( ) = 16 s1 = 3537748, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7628110, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3538306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3538306, s2 = 6732875, int(edited[s2]) = 0 s1 = 3538306, s2 = 6732875, d1 = 62, d2 = 61 Dl.O(d1) = 118316376,271841579,258978804,39458174,257032197 Dl.O(d2) = 256184016,6215333,3890253,2329240,2329237,3890242,6215312,9478668,13820767,15524308,13943101,13943102,19252401,19115244,13647591,268150275,13756446,9570179,6279945,3932243,3932239,2358825,2358828,3887970,2683319,1554397,1336318,1336321,2302830,3843240,6142250,9376171,13312192,9376072,9376075,6169555,254449350,13743575,13794994,13794995,14045619,9657762,9657763,9317712,9317711,13607491,13943080,13943081,19483837,15469055,15469057,21385936,19502470,13958794,13943088,13943075,13943073,19483827,17985211,12746696,12746694,17985204,18359961,13581459,13581453,9365353,6134605,3838016,3838012,6134585,9300099,6092137,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9320121,13581652,13630235,16100399,22235364,29583159,38149272,48062079,59453302,257826654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3538306, s2 = 6732875, dlinesl.size( ) = 2 s1 = 3538306, s2 = 6732875, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3538306, Dl.E( ) = 64, 1.72e-05 seconds used appending s1 = 15232289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15651166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13574811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13365877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3540691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15955839, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9440474, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6779548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6779548, s2 = 2441580, int(edited[s2]) = 0 s1 = 6779548, s2 = 2441580, d1 = 9, d2 = 19 Dl.O(d1) = 258371395,63747316,76852673,90725160,104896452 Dl.O(d2) = 67787865,55444356,44594163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6779548, s2 = 2441580, dlinesl.size( ) = 26 s1 = 3283461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3283461, s2 = 4192131, int(edited[s2]) = 0 s1 = 3283461, s2 = 4192131, d1 = 5, d2 = 6 Dl.O(d1) = 104912382,119100988 Dl.O(d2) = 146147089,158514132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3283461, s2 = 4192131, dlinesl.size( ) = 2 s1 = 3283461, s2 = 4192131, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3283461, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 6832783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14954837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3035971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6685460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6685460, s2 = 5458682, int(edited[s2]) = 0 s1 = 6685460, s2 = 5458682, d1 = 65, d2 = 76 Dl.O(d1) = 257320664 Dl.O(d2) = 156970566,274109410,264839243,220078096,222779066,225102287,227121174,228883155,227121175,225102288,265617791,228883152,227121172,225102286,222779065,222779064,265617789,228883147,274571043,266157621,230435107,274601468,225102287,227121174,228883155,265910609,266157621,230435107,230435108,266157619,228883148,227121171,225102286,222779065,222779064,265617789,266416910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6685460, s2 = 5458682, dlinesl.size( ) = 2 s1 = 6685460, s2 = 5458682, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6685460, Dl.E( ) = 104, 3e-05 seconds used appending s1 = 14651787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14651787, s2 = 5988182, int(edited[s2]) = 0 s1 = 14651787, s2 = 5988182, d1 = 0, d2 = 5 Dl.O(d1) = 595901,1059808,254260207,5200187,254260205,1059807,1059808,1857096,254387773,8117033,267840029,3172507,5200188,254829219,17166857,23440413,30868637 Dl.O(d2) = 231964149,233185216,234289511,235294387,236210187,236210189,236210190,237045002,266697493,239136359,239136364,239136362,238501149,237807719,237807718,237045006,236210194,236210193,237045004,237807717,238501147,266823215,238501146,266626371,236210192,235294391,234289514,233185218,233185217,266375251,266466565,236210196,236210195,237045010,237807726,237807723,237807724,238501151,239136363,239720427,240260491,240760998,241224158,241653283,241413474,240964969,240480596,239958560,239395505,238785092,266678974,237390875,236587781,235706848,234738626,234738625,233676191,232507795,231214942,229773356,228149371,265419250,221723517,218868340,215487200,211395106,206388157,200334060,193166361,184815026,175249889,164470767,152617066,139909157,126545606,112682832,98688204,258217792,58470817,47093057,37197299,37197302,37197292,37197291,47093052,58470812,58170902,46803523,46803524,58170904,70884980,84442230,98352025,112335145,126195731,139570855,152300546,164183760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14651787, s2 = 5988182, dlinesl.size( ) = 8 s1 = 3551311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6979168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6979168, s2 = 6672510, int(edited[s2]) = 0 s1 = 6979168, s2 = 6672510, d1 = 160, d2 = 154 Dl.O(d1) = 260883614 Dl.O(d2) = 257180087 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6715155, s2 = 10997698, int(edited[s2]) = 0 s1 = 6715155, s2 = 10997698, d1 = 33, d2 = 29 Dl.O(d1) = 257640984 Dl.O(d2) = 255152362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715155, s2 = 10997698, dlinesl.size( ) = 42 s1 = 9399142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9399142, s2 = 4375788, int(edited[s2]) = 0 s1 = 9399142, s2 = 4375788, d1 = 1, d2 = 1 Dl.O(d1) = 77105062,63982943,52156299,41836369,33003163,33003162,41944936,52285511,64137516,257148190,105428779,119666771,133541587,146800234,159175684,170517457,263733502,147942341,271051946,53162802,257220122,256158589,28837376,21565796,15543686,15543685,255844963,257458387,258693397,270815907,102046962,260663730,31471953,255573911,12447975,8416238,8416237,12447973,17627744,22430872,16263551,16263207,16263208,16069604,16069605,22198641,22198044,16069099,11157893,11157891,11307376,11307377,11158278,7507438,4745614,2860043,1659965,944564,944563,1659959,2860030,4745585,5369461,3300946,3095742,3095743,5100265,7400581,7400611,4675159,4675160,7400617,7400641,7400640,4675707,2816823,1634159,1634162,2816832,4675718,7401570,11159085,16070617,255161441,12189647,17314156,23630044,23325408,17059560,11967839,8011544,254821371,255978011,23807029,22421696,16256184,11302086,7503614,4743045,2858438 Dl.O(d2) = 77105062,63982943,52156299,41836369,33003163,33003162,41944936,52285511,64137516,257148190,105428779,119666771,133541587,146800234,159175684,170517457,263733502,147942341,271051946,53162802,257220122,256158589,28837376,21565796,15543686,15543685,255844963,257458387,258693397,270815907,102046962,260663730,31471953,255573911,12447975,8416238,8416237,12447973,17627744,22430872,16263551,16263207,16263208,16069604,16069605,22198641,22198044,16069099,11157893,11157891,11307376,11307377,11158278,7507438,4745614,2860043,1659965,944564,944563,1659959,2860030,4745585,5369461,3300946,3095742,3095743,5100265,7400581,7400611,4675159,4675160,7400617,7400641,7400640,4675707,2816823,1634159,1634162,2816832,4675718,7401570,11159085,16070617,255161441,12189647,17314156,23630044,23325408,17059560,11967839,8011544,254821371,255978011,23807029,22421696,16256184,11302086,7503614,4743045,2858438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9399142, s2 = 4375788, dlinesl.size( ) = 2 s1 = 9399142, s2 = 4375788, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9399142, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3293201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3293201, s2 = 16201537, int(edited[s2]) = 0 s1 = 3293201, s2 = 16201537, d1 = 3, d2 = 11 Dl.O(d1) = 105435762 Dl.O(d2) = 105503010,91280911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3293201, s2 = 16201537, dlinesl.size( ) = 2 s1 = 3293201, s2 = 16201537, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3293201, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 3007383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3007383, s2 = 5142843, int(edited[s2]) = 0 s1 = 3007383, s2 = 5142843, d1 = 27, d2 = 13 Dl.O(d1) = 91215859,105438193 Dl.O(d2) = 213782267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3007383, s2 = 5142843, dlinesl.size( ) = 14 s1 = 11311522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14126277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126277, s2 = 7981801, int(edited[s2]) = 0 s1 = 14126277, s2 = 7981801, d1 = 14, d2 = 25 Dl.O(d1) = 186699735 Dl.O(d2) = 39921421,31245734,23761192,256008721,12287781,8298458,8298459,12287782,12229382,12229381,8488026,5489039,3379764,3379762,5489035,8488021,12526259,12406388,12238822,12238823,12279427,12244992,12244995,17376774,16860097,11792362,7874570,7874573,11792368,11694546,11694547,7799735,4946140,4946141,3276745,3276746,5330865,4715082,4715081,4285622,2562206,2562203,4285613,6830945,4710945,2837989,2837988,2838013,2838012,4710995,7455830,11234718,15553053,10757040,10757039,15553051,21576379,17471477,12317728,12317727,17471476,17756858,12564787,12564786,17756857,17589108,12415526,8391637,5415387,3329110,3329109,5415385,8391632,11234592,11234591,11013824,7291005,7290988,7290987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126277, s2 = 7981801, dlinesl.size( ) = 2 s1 = 14126277, s2 = 7981801, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14126277, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 10213620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10213620, s2 = 1047748, int(edited[s2]) = 0 s1 = 10213620, s2 = 1047748, d1 = 12, d2 = 6 Dl.O(d1) = 147021227,159401993,170749478,260868862,159402088,263346523,170749578,170749573,170749574,180888499,180888487,261436888,189781959,180888552,262471788,147021324,147021323,159402102,170749578,170749573,159402098,147021321,133773261,119904484,271989277,261436902,260868882,170749522,159402029,159402028,170749519,170749568,159402093,270515790,133773259,259655846,165323577,176016916,180888563,180888562,180888553,170749572,159402096,147021319,261972533,170749570,262471788,147021324,133773262,260868856,91445075,77515227,77515226,91445074,105668508 Dl.O(d2) = 108656217,94368363,80312025,66882853,54625291,43882987,43882988,254681284,26622868,19812511,14191564,9755720,9755719,14191563,19812508,26622863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10213620, s2 = 1047748, dlinesl.size( ) = 2 s1 = 10213620, s2 = 1047748, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10213620, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6900889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6900889, s2 = 1770954, int(edited[s2]) = 0 s1 = 6900889, s2 = 1770954, d1 = 28, d2 = 42 Dl.O(d1) = 259898978 Dl.O(d2) = 39846906,256839626,256825075,255811766,40196605,36636392,36636394,46503639,41314306,41314309,46392428,46392429,46392438,46746989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6900889, s2 = 1770954, dlinesl.size( ) = 2 s1 = 6900889, s2 = 1770954, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6900889, Dl.E( ) = 44, 1.38e-05 seconds used appending s1 = 6843317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6948050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14129591, s2 = 8258866, int(edited[s2]) = 0 s1 = 14129591, s2 = 8258866, d1 = 48, d2 = 63 Dl.O(d1) = 261844986 Dl.O(d2) = 204034582,197515722,189859994,180981775,170862488,159535201,147176733,147176734,258268320,133954460,258890674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129591, s2 = 8258866, dlinesl.size( ) = 12 s1 = 6836870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2379835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11738114, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6679857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6837808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6837808, s2 = 13758355, int(edited[s2]) = 0 s1 = 6837808, s2 = 13758355, d1 = 31, d2 = 37 Dl.O(d1) = 259051803,106078304 Dl.O(d2) = 273792633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 3314009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3314009, s2 = 8631313, int(edited[s2]) = 0 s1 = 3314009, s2 = 8631313, d1 = 2, d2 = 17 Dl.O(d1) = 106163733 Dl.O(d2) = 171063605,171063604,273132476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3314009, s2 = 8631313, dlinesl.size( ) = 18 s1 = 14632302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6996445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3317813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14668177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14668177, s2 = 3318418, int(edited[s2]) = 0 s1 = 14668177, s2 = 3318418, d1 = 0, d2 = 5 Dl.O(d1) = 24176468 Dl.O(d2) = 106739818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14668177, s2 = 3318418, dlinesl.size( ) = 2 s1 = 14668177, s2 = 3318418, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14668177, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 6839145, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3319674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3319674, s2 = 14124452, int(edited[s2]) = 0 s1 = 3319674, s2 = 14124452, d1 = 0, d2 = 37 Dl.O(d1) = 106774062 Dl.O(d2) = 209700953,274287518,274206896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3319674, s2 = 14124452, dlinesl.size( ) = 38 s1 = 3320530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3320530, s2 = 10358002, int(edited[s2]) = 0 s1 = 3320530, s2 = 10358002, d1 = 0, d2 = 103 Dl.O(d1) = 106798827 Dl.O(d2) = 230182172,228600797,226802859,265229820,263600471,263821582,87058309,73440284,60692128,49290725,39363558,39363557,49290722,60692122,73440354,60692237,60692236,73440329,87058369,87058446,259460953,259345424,87058602,73440530,73440529,85948963,99906288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3320530, s2 = 10358002, dlinesl.size( ) = 62 s1 = 11264064, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3580882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3581282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2403352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7023632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7023632, s2 = 11348056, int(edited[s2]) = 0 s1 = 7023632, s2 = 11348056, d1 = 21, d2 = 19 Dl.O(d1) = 261503497 Dl.O(d2) = 260935949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7023632, s2 = 11348056, dlinesl.size( ) = 14 s1 = 14969737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7023793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16195343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16195343, s2 = 13047997, int(edited[s2]) = 0 s1 = 16195343, s2 = 13047997, d1 = 18, d2 = 17 Dl.O(d1) = 113910919,99892432,85937206,258181988,48222142,48222141,38312226,29743536,22384260,16226269,11279857,7487705,7487704,11279856,15339119,15709879,15709881,16226378,22384347,28330998,256298301,255443236,20137088,15340558,15340559,16881198,16881197,23141310,30558495,28330992,21119856,15172485,10464035,6897519,6897520,10464039,15172493,21119864,21308973,21308972,21309366,15339495,10594914,10594915,15339498,21309369,21119945,15172566,10464082,10464080,15172495,10464040,10464041,15172496,21119866,28331003,36827051,46709331,58080778 Dl.O(d2) = 223847395,226003012,265501504,231001926,232316560,233504011,234582412,235564319,236458791,237275333,238018691,238695141,274787078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16195343, s2 = 13047997, dlinesl.size( ) = 8 s1 = 3330785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3330785, s2 = 11520426, int(edited[s2]) = 0 s1 = 3330785, s2 = 11520426, d1 = 1, d2 = 90 Dl.O(d1) = 107571930 Dl.O(d2) = 232247608,233438604,232247612,230928023,265818118,225908708,223743627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3330785, s2 = 11520426, dlinesl.size( ) = 56 s1 = 3590865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9176812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9176812, s2 = 10341758, int(edited[s2]) = 0 s1 = 9176812, s2 = 10341758, d1 = 32, d2 = 39 Dl.O(d1) = 255495914,59308637,65959593,53892961,257563084,53894948,259110279,107884777,114489535 Dl.O(d2) = 22607016,16423959,14195485,14195486,19817523,26628808,34618400,34272202,26396722,26396721,34272199,43371160,41282163,32442952,32442953,41282167,43369053,53890823,47978351,255502058,48673700,38752027,30168857,30168858,38752029,40454284,31759961,24248114,255201807,8592134,5582812,5582813,8592136,12655399,17871116,24248103,24248102,26391283,28996744,34274102,254441760,14096410,14096409,19665336,267929386,254363866,26386332,267791912,41407328,32549151,24899724,18396879,13067046,13067045,13067094,254794510,22804745,22804746,30195595,34270344,34618867,26629372,26629373,34618872,43890396,50449547,40415148,31723276,31723275,34263581,28211194,28211193,21017843,15095531,10411255,10411254,15095529,14094342,14094343,11102203,7362599,7362600,4861116,2929314,2929312,4861107,7682615,11547547,16565846,22781402,30170233,34273064,26397890,255119002,30171142,30171143,34269830,34269829,43369040,48680275,43363400,34263579,34263580,43363402,36702347,28211194,21017842,21017841,22962047,22962046,17274791,12154150,12154151,268250329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9176812, s2 = 10341758, dlinesl.size( ) = 12 s1 = 9525814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9525814, s2 = 16209863, int(edited[s2]) = 0 s1 = 9525814, s2 = 16209863, d1 = 4, d2 = 9 Dl.O(d1) = 268394579,10951963,10951962,15805149,21880804,29192625,37753958,40273882,31587317,31587318,37753939,40547092,34293559,26417294,26417295,34293561,43393424,53918611,65987389,79354449,93491001,107928871,272763399,173061240,182946942,191581271,264113717 Dl.O(d2) = 230874631,230874642,274619135,227668172,227668171,227731172,225833422,265664409,229396132,230874637,229396139,227731180,225833433,223657225,221145667,218212038,265324027,265121319,210237705,204980520,198635799,191146187,273272933,161293845,148989138,135750875,271600909,271099039,78910039,65574935,53550029,43071094,256175937,19470655,13935321,9565740,6277413,3930790,2353303,1363221,776906,776909,254210303,3930802,6277423,9565761,13935338,13910849,13910850,255705311,33975031,43032071,53510695,65535653,78871520,92983399,107394039,121778662,259285854,138963273,125624490,111809640,97877072,84008405,70474854,57775188,46421074,46421069,36557680,36557681,46421071,46421073,36557682,28088323,20914773,20914772,15009386,10339327,254158350,20914772,15009386,10339327,6806496,254119606,10339328,10269448,6748534,4228636,2528386,1457132,1457131,2528385,4228634,6748528,5949879,5949878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9525814, s2 = 16209863, dlinesl.size( ) = 2 s1 = 9525814, s2 = 16209863, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9525814, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 13745851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13745851, s2 = 8378723, int(edited[s2]) = 0 s1 = 13745851, s2 = 8378723, d1 = 21, d2 = 25 Dl.O(d1) = 204037530,198724681,191251990,182571755,172645883,261807810,135961442,122034189,122034190,135961443,135961448,272591996,149891485,149891484,162103908,162103909,173204271,175225404,164444367,152588732,152588733,164444368,170865159,272769433,136749518,122917576,108652465,108652464,122917573,133956662,133956661,133956671,133956670,147178874,147178873,159057267,152588728,152588727,262615468,180984656,170865160,159537550,147178881,133956667,120114797,120114796,133956665,147178878,152588731,152588730,147178894,147178893,133956682,120114807,120114806,133442464,120114812,105902842,105902843,120114809,105902839,105902840,119575512,119575511,133442460,146691697,147178897,133956688,120114817,105902848 Dl.O(d2) = 15055729,15055728,20965435,256285085,46484142,57840271,59221229,57840281,46484152,36617706,36617705,46484151,57840282,52684354,42297739,42297738,269510507,91695435,105902798,91695434,77767895,77767894,91695433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13745851, s2 = 8378723, dlinesl.size( ) = 16 s1 = 14134412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8735442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8735442, s2 = 10360423, int(edited[s2]) = 0 s1 = 8735442, s2 = 10360423, d1 = 66, d2 = 63 Dl.O(d1) = 176025087,185496713,191741051,183135885,263426099,199140055,205397226,206830774,200849442,193762058,193762059,193762060,185496711,176025086,176025085,185496710,193762059,200849443,200849446,193762063,185496712,185496713,193762064,263792961,183135887,173290827,173290828,183135889,185496714,176025089,165332604,165332605,176025091,185496715,193762068,200849454,205397227,199140056,199140057,205397228,205397222,263962016,183135884,173290826,173290825,263426097 Dl.O(d2) = 265248787,224933982,226971744,228748432,230312929,231704347,232954628,234086169,235116564,236052965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8735442, s2 = 10360423, dlinesl.size( ) = 44 s1 = 7658239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7658239, s2 = 10632676, int(edited[s2]) = 0 s1 = 7658239, s2 = 10632676, d1 = 5, d2 = 2 Dl.O(d1) = 271340988 Dl.O(d2) = 8936701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7658239, s2 = 10632676, dlinesl.size( ) = 2 s1 = 7658239, s2 = 10632676, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7658239, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 16098073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16098073, s2 = 482, int(edited[s2]) = 0 s1 = 16098073, s2 = 482, d1 = 0, d2 = 0 Dl.O(d1) = 274524748,231639901,265433436,228674501,229951383,228344652,226513738,226513737,226876860,224826074,274098006,212528316,207724270,201897511,194972491,186880611,177593464,167088079,155448351,142866122,259988804,101620664,258122220,49792466,39772763,39772764,38731308,38731309,48652424,48738105,60132839,70444994,57749735,46398859,36537943,28070975,28070976,36537945,257393591,61382912,74163692,261823503,167191141,177687294,186965848,193678467,185396857,175906859,165198728,261699783,127357601,113488117,99477514,85531109,71943248,59204204,256915685,29312128,21984225,21984226,256373315,47804799,59204206,71943249,85531110,259973173,260573381,140713539,153395257,165198730,175906862,185396863,193678469,200778633,206769915,211719598,215764828,219110556,221935295,224360601,226466489,226466490,228300593,226587394,224495052,222086934,219283693,215964564,211956675,207050691,201105255,194049872,261060694,165713097,153939118,141267743,127906935,269298160,86037191,72439044,59702973,48316144,42847228,33806525,33806526,36620620,46487171,57843380,70545408,79196856,65834799,53774640,43258790,34168609,26300559,19577357,14024699,9640821,254954925,19577355,26300556,255713042,53774639,257262262,93327776,84075568,70538652,57836859,57836858,257652960,46480828,36614444,268374095,15053113,269005558,4291240,6839268,10379087,15053112,20962647,28140754,36614441,46480826,36658314,28181810,256288593,15083695,10403850,6858086,4303952,2573269,1481589,1481590,2573271,4303958,6858093,255011663,20999168,28181862,36658367,46525983,57882151,70583613,84120509,97996053,111935979,125755815,120221322,106019245,91824194,258422755,257806785,42400382,33411294,25644342,256142727,42400379,52800020,64713904,77902744,91824188,260887009,147275056,159631265,170954687,181066736,189935747,191745505,183140407,263019249,162201703,149994302,136860381,123029440,108760260,94466722,258511163,54717689,43973912,256730173,26704239,255319219,9793285,6438129,4038536,267869941,4038538,2419936,1400782,1400783,2419937,4038539,254683793,12363824,8354394,6433422,6433421,9785387,14234539,9793347,6438171,4038560,2419948,1400788,797272,451900,451899,254152367,2419944,4038550,6438151,9793314,14246381,14228654,14228653,9791898,9784332,9784333,268141187,13334419,18731131,268169729,9793343,6438168,4038559,2419947,267761963,451900,267739177,268169532,7108,12889,23173,41990,77148,140850,254482,451621,796714,513601,513602,910405,1601179,2762018,4032318,2416545,2416546,2417837,1399639,1399637,797269,451898,254636,254635,451896,254152365,797270,254152367,2419944,4038550,6438151,9793314,14246381,14228654,14228653,9791898,9784332,9784333,268141187,13334419,18731131,268169729,9793343,6438168,4038559,2419947,267761963,451900,267739177,268169532,7108,12889,23173,41991,77149,140927,254612,451852,797164,1400588,2419563,4037831,6432409,9783922,14232685,268330919 Dl.O(d2) = 274524748,231639901,265433436,228674501,229951383,228344652,226513738,226513737,226876860,224826074,274098006,212528316,207724270,201897511,194972491,186880611,177593464,167088079,155448351,142866122,259988804,101620664,258122220,49792466,39772763,39772764,38731308,38731309,48652424,48738105,60132839,70444994,57749735,46398859,36537943,28070975,28070976,36537945,257393591,61382912,74163692,261823503,167191141,177687294,186965848,193678467,185396857,175906859,165198728,261699783,127357601,113488117,99477514,85531109,71943248,59204204,256915685,29312128,21984225,21984226,256373315,47804799,59204206,71943249,85531110,259973173,260573381,140713539,153395257,165198730,175906862,185396863,193678469,200778633,206769915,211719598,215764828,219110556,221935295,224360601,226466489,226466490,228300593,226587394,224495052,222086934,219283693,215964564,211956675,207050691,201105255,194049872,261060694,165713097,153939118,141267743,127906935,269298160,86037191,72439044,59702973,48316144,42847228,33806525,33806526,36620620,46487171,57843380,70545408,79196856,65834799,53774640,43258790,34168609,26300559,19577357,14024699,9640821,254954925,19577355,26300556,255713042,53774639,257262262,93327776,84075568,70538652,57836859,57836858,257652960,46480828,36614444,268374095,15053113,269005558,4291240,6839268,10379087,15053112,20962647,28140754,36614441,46480826,36658314,28181810,256288593,15083695,10403850,6858086,4303952,2573269,1481589,1481590,2573271,4303958,6858093,255011663,20999168,28181862,36658367,46525983,57882151,70583613,84120509,97996053,111935979,125755815,120221322,106019245,91824194,258422755,257806785,42400382,33411294,25644342,256142727,42400379,52800020,64713904,77902744,91824188,260887009,147275056,159631265,170954687,181066736,189935747,191745505,183140407,263019249,162201703,149994302,136860381,123029440,108760260,94466722,258511163,54717689,43973912,256730173,26704239,255319219,9793285,6438129,4038536,267869941,4038538,2419936,1400782,1400783,2419937,4038539,254683793,12363824,8354394,6433422,6433421,9785387,14234539,9793347,6438171,4038560,2419948,1400788,797272,451900,451899,254152367,2419944,4038550,6438151,9793314,14246381,14228654,14228653,9791898,9784332,9784333,268141187,13334419,18731131,268169729,9793343,6438168,4038559,2419947,267761963,451900,267739177,268169532,7108,12889,23173,41990,77148,140850,254482,451621,796714,513601,513602,910405,1601179,2762018,4032318,2416545,2416546,2417837,1399639,1399637,797269,451898,254636,254635,451896,254152365,797270,254152367,2419944,4038550,6438151,9793314,14246381,14228654,14228653,9791898,9784332,9784333,268141187,13334419,18731131,268169729,9793343,6438168,4038559,2419947,267761963,451900,267739177,268169532,7108,12889,23173,41991,77149,140927,254612,451852,797164,1400588,2419563,4037831,6432409,9783922,14232685,268330919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16098073, s2 = 482, dlinesl.size( ) = 2 s1 = 16098073, s2 = 482, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16098073, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 3601874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13312183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13312183, s2 = 3602946, int(edited[s2]) = 0 s1 = 13312183, s2 = 3602946, d1 = 3, d2 = 0 Dl.O(d1) = 48537958,38623119,30049340,22673830,22673832,30049339,31642995,24136286,17772403,12577337,12577339,17772406,24136291,31643000,39863142,39862455,31179960,31179959,39862454,40954315,51097266,40955784,32176629,24590174,24590173,32176628,39860533,31177772,31177773,39297527,38269043,29702960,22348647,16198530,11260326,7475288,7475287,11260323,16198521,22348516,16198446,11260288,11260289,16198453,16198435,11260278,11260279,10924488,10924489,15771947,21841543,29149722,37709974,31178343,31178345,39861064,49883991,44363077,44363078,55214014,257459056,49884753,39862282,255412854,17367904,12235972,8262035,8262033,12235968,17367897,21860765,20021888,14340183,9851794,6471244,6471245,9851799,14340192,20021906,26905094,24589459,18144395,16198415,11260270,11260272,16198421,22002049,24136315,31643036,40331843,39264714,30668982,30668981,36819755,28324558,28324561,31823134,30670104,23784626,17454117,12304168,8310511,8310510,12304162,17454113,17366795,17366792,17732065,255582735,256475825,25733440,19100850,13637290,9338316,6116702,3827026,2292748,2292747,3827024,6116698,9338309,13637273,19100825,25733397,29149675,34641165 Dl.O(d2) = 123531718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13312183, s2 = 3602946, dlinesl.size( ) = 2 s1 = 13312183, s2 = 3602946, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13312183, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 9183933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9735088, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3605438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3605438, s2 = 10343726, int(edited[s2]) = 0 s1 = 3605438, s2 = 10343726, d1 = 11, d2 = 11 Dl.O(d1) = 123586382,109394529,259568924,257907870,256743194,268550860,255214019,8701091,8701092,255606977,14480225,9962860,6547847,6547848,9962862,14480228,20182396 Dl.O(d2) = 123586382,109394529,259568924,257907870,256743194,268550860,255214019,8701091,8701092,255606977,14480225,9962860,6547847,6547848,9962862,14480228,20182396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3605438, s2 = 10343726, dlinesl.size( ) = 2 s1 = 3605438, s2 = 10343726, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3605438, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 9474906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3606569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3606569, s2 = 3568713, int(edited[s2]) = 0 s1 = 3606569, s2 = 3568713, d1 = 56, d2 = 51 Dl.O(d1) = 123612413 Dl.O(d2) = 120196392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3606569, s2 = 3568713, dlinesl.size( ) = 22 s1 = 16307109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7035693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7035693, s2 = 6797282, int(edited[s2]) = 0 s1 = 7035693, s2 = 6797282, d1 = 29, d2 = 41 Dl.O(d1) = 261671066 Dl.O(d2) = 256279096,40325090,50352047,61836226,74628451,258630642 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14917397, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15935816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15935816, s2 = 9618746, int(edited[s2]) = 0 s1 = 15935816, s2 = 9618746, d1 = 1, d2 = 1 Dl.O(d1) = 102077145,116134900,259310440,259929566,183982642,176752211,176752210,178002296,178002297,183982371,183982372,174711639,173771657,173771655,183539453,186855125,260531208,167060729,261109130,163478660,151598150,148427340,148427342,160687361,260956356,149550124,149550154,136284845,136284846,260419838,141412893,128043943,114153790,114153791,127277112,140622713,148427327,135261602,125565628,111757567,97833157,97833155,111757565,125565623,125565652,111757585,97833165,83972063,83972062,270882388,109864044,109864045,124002568,137683593,137683715,142172794,128818197,114920920,100870388,86890219,86890220,86890183,85476911,85476910,99417724,113418841,127277092,140622684,153302528,143588087,137683856,258848796,257618246,68137653,68137654,81627558,95660655,109864212,124002807,137683863,149550887,150680358,137684516,124003314,109864532,109864533,124003317,124003166,109864450,109864449,124003157,112675217,98680742,84753470,84753471,98680748,112675230,258059546,258059548,151599456,138898654,138898655,148427256,135261536,135261535,140228565,126880520,113027382,99038738,85113509,260548649,140228578,151598170,148427246,148427244,143374227,130042507,259930292,122034415,107660198,102077143,258059634,83972005,70444480,70444481,83971765,83971773,83971772,97832666,111756892,111756818,111756820,125564590,137457601,137457599,146279447,133051703,133051704,146279451,158648091,150680238,137684423,124003260,109864504,109864503,124003256,137684414,137684307,124003177,124003175,124003212,109864469,109864470,124003215,137684362,125565007,111757124,97832834,83971877,83971878,83971934,83971935,97832529,83971679,70444281,57749177,46398373,36537517,28070574,28070575,36537521,46398379,57749183,70444293,59360968,47970059,47970060,47970064,268902976,85681143,99630362,113644162,112675148,101832981,87858708,74254495,61476370,61476368,74254493,87858706,101832979,109455222,259028468,67678281,55338785,44492784,35115779,27029155,27029154,35115776,44492781,35194945,27105648,27105649,35086124,35086123,35194957,27105737,27105738,35195062,44573208,52477268,64347388,55420220,55420219,55420123,44573011,35194869,257319641,67760092,81226194,95283737,109538413,123729981,137457586,150492538,162616385,173641982,183432297,191990744,264134391,210732643,214940855,218402676,221311452,223803221,225962882,227846966,229501819,230601905,229078103,227351633,225376852,264593900,220470276,217371644,213651988,209116602,203589710,196977235,189236526,180293598,170126808,158769386,146401071,133172092,119338823,105142024,256579604,63958673,255219318,41821166 Dl.O(d2) = 102077145,116134900,259310440,259929566,183982642,176752211,176752210,178002296,178002297,183982371,183982372,174711639,173771657,173771655,183539453,186855125,260531208,167060729,261109130,163478660,151598150,148427340,148427342,160687361,260956356,149550124,149550154,136284845,136284846,260419838,141412893,128043943,114153790,114153791,127277112,140622713,148427327,135261602,125565628,111757567,97833157,97833155,111757565,125565623,125565652,111757585,97833165,83972063,83972062,270882388,109864044,109864045,124002568,137683593,137683715,142172794,128818197,114920920,100870388,86890219,86890220,86890183,85476911,85476910,99417724,113418841,127277092,140622684,153302528,143588087,137683856,258848796,257618246,68137653,68137654,81627558,95660655,109864212,124002807,137683863,149550887,150680358,137684516,124003314,109864532,109864533,124003317,124003166,109864450,109864449,124003157,112675217,98680742,84753470,84753471,98680748,112675230,258059546,258059548,151599456,138898654,138898655,148427256,135261536,135261535,140228565,126880520,113027382,99038738,85113509,260548649,140228578,151598170,148427246,148427244,143374227,130042507,259930292,122034415,107660198,102077143,258059634,83972005,70444480,70444481,83971765,83971773,83971772,97832666,111756892,111756818,111756820,125564590,137457601,137457599,146279447,133051703,133051704,146279451,158648091,150680238,137684423,124003260,109864504,109864503,124003256,137684414,137684307,124003177,124003175,124003212,109864469,109864470,124003215,137684362,125565007,111757124,97832834,83971877,83971878,83971934,83971935,97832529,83971679,70444281,57749177,46398373,36537517,28070574,28070575,36537521,46398379,57749183,70444293,59360968,47970059,47970060,47970064,268902976,85681143,99630362,113644162,112675148,101832981,87858708,74254495,61476370,61476368,74254493,87858706,101832979,109455222,259028468,67678281,55338785,44492784,35115779,27029155,27029154,35115776,44492781,35194945,27105648,27105649,35086124,35086123,35194957,27105737,27105738,35195062,44573208,52477268,64347388,55420220,55420219,55420123,44573011,35194869,257319641,67760092,81226194,95283737,109538413,123729981,137457586,150492538,162616385,173641982,183432297,191990744,264134391,210732643,214940855,218402676,221311452,223803221,225962882,227846966,229501819,230601905,229078103,227351633,225376852,264593900,220470276,217371644,213651988,209116602,203589710,196977235,189236526,180293598,170126808,158769386,146401071,133172092,119338823,105142024,256579604,63958673,255219318,41821166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15935816, s2 = 9618746, dlinesl.size( ) = 2 s1 = 15935816, s2 = 9618746, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15935816, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 6845899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9737512, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9737512, s2 = 9106041, int(edited[s2]) = 0 s1 = 9737512, s2 = 9106041, d1 = 11, d2 = 9 Dl.O(d1) = 109582307,123772684,137496974,261071240,260491944,126930860,126930861,123772686,109582309,95327078,95327077,95327081,259271218,137496977,123772687 Dl.O(d2) = 109582311,95327079,81267655,67799870,55458258,44609852,35228942,35228941,44609849,44609850,55458253,67799861,81267647,67799868,55458256,55458255,67799866,61725005,50246181,40225979,31539545,31539544,31539547,31539546,40225976,31539543,24036603,24036595,24036596,24036600,24036599,24813067,31539538,31539537,40225972,50246175,61724999,74506152,88117343,102103807,104072522,89943255,81231605,67765675,55426005,44578981,256228929,20210022,14502265,9979147,6558988,6558989,268049671,6887532,4323994,2586986,2586990,4324003,6887560,10447779,15148672,255807731,21089181,28296648,36793630,31419356,23929246,17587377,12414151,8390496,5414402,3328272,1957330,1118035,1118036,1957333,3328275,5414408,254854787,12414188,8390519,5414413,5414411,8390516,12414182,255180518,27973888,20810332,15586442,15586444,21616306,28892471,37433901,255787072,42208532,42208531,52569026,64444118,77612323,91541498,105763449,119996430,108632076,259657490,66859183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9737512, s2 = 9106041, dlinesl.size( ) = 12 s1 = 8282175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6987077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9407852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3261080, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6846739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6846739, s2 = 4055051, int(edited[s2]) = 0 s1 = 6846739, s2 = 4055051, d1 = 14, d2 = 12 Dl.O(d1) = 259179615,109795421 Dl.O(d2) = 137609168,150605204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6846739, s2 = 4055051, dlinesl.size( ) = 2 s1 = 6846739, s2 = 4055051, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6846739, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 3614798, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6533458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8148620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8603963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8681490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3364984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15318242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7029183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7029183, s2 = 11377940, int(edited[s2]) = 0 s1 = 7029183, s2 = 11377940, d1 = 48, d2 = 20 Dl.O(d1) = 261598917,125440155 Dl.O(d2) = 147854536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7029183, s2 = 11377940, dlinesl.size( ) = 2 s1 = 7029183, s2 = 11377940, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7029183, Dl.E( ) = 74, 2.79e-05 seconds used appending s1 = 13905179, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14907819, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16344278, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11351676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3624751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8616267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8616267, s2 = 13212274, int(edited[s2]) = 0 s1 = 8616267, s2 = 13212274, d1 = 6, d2 = 6 Dl.O(d1) = 72723040,86320526,100282639,114313077,128195820,261753815,165970887,174325152,271753192,111759410,97834703,83973437,70445914,70445915,70445918,61876855,61876856,74668763,88293923,84231013,70677683,57959043,46582529,36696029,28205435,21013035,15091946,10408844,267959042,2574731,1482751,838424,472590,265566,147015,147017,265574,472605,838454,1482804,2574836,4305938,4305939,6861045,4306212,4305074,2574134,1482348,1482346,2574130,4303770,6857771,6859573,6859572,6857744,6857745,10403337,6857765,6857764,10403348,6858862,6858854,4304512,2574148,2574147,4305082,4305591,4305590,6860482,4306034,4306035,4305602,2574466,2574467,4305606,6860521,4305622,2574476,1482616,838350,472554,265553,147010,147008,265546,472547,838336,1482582,2574432,2574653,2574654,4305944,4305078,2574141,1482358,838152,838150,1482223,1482222,2573975,4304836,4305067,4303754,4303755,2573164,1481530,1481531,2527247,4226688,2573715,1482052,1482053,1482361,2574155,4305094,4305586,6860515,10407570,10407572,6860533,4305598,4305597,6860531,10407591,6860543,4305613,2574471,1482611,838346,472551,472540,472541,838328,838334,1482592,2574425,4304873,2574004,2574003,4304868,2574170,1482371,838163,472419,472418,838156,1482364,2574160,4305103,4303764,2573157,2573158,2573154,1481525,1481524,2573151,4303745,4304517,4304519,2574151,2574150,4305086,6859587,10405301,10405299,6860499,6860500,10407575,6860527,6860526,10405283,10405860,10407578,6860508,4305582,2574454,1482601,838341,838322,838323,1482577,1482587,2574436,4305566,6858806,4304463,4304462,6745507,4304597,2573757,1482342,838145,838144,1482071,2573746,4304580,6858957,6857756,4303760,4303759,4303743,2573145,2573146,2573955,4304815,6858857,6858858,10405024,10405168,10405167,10405176,6859101,6859100,4305569,4305570,6860494,10405287,6859070,6859071,4305097,4304862,4304863,6859273,4305578,2574450,1482596,1482595,2574443,2573994,2573978,2573979,4304842,4304468,2573665,2573666,4304473,6858815,4304594,2573764,1482080,837968,837967,1482076,2573754,4304588,6858963,6859243,4304825,2573963,2573965,2573957,2573956,4304820,6859236,10405448,10405173,6858973,4304600,4304601,4304696,2573840,2573841,4304703,6859108,6860341,6858954,4305436,4305435,6859011,6859010,6859077,4304663,2573799,2573800,2573823,2573824,1482236,838064,838063,1482230,2573986,4304855,6859267,6859314,6859391,4304956,2574074,1482297,1482067,1482068,2573744,4304577,6858950,6860373,6859171,6859172,6859239,10403326,10403327,10405463,10407566,15085881,15085692,15085691,15085600,10405197,10405196,6859158,6858980,6858981,10405185,10407339,6860351,4305447,2574335,2574336,4305452,6859029,4304636,2573782,2573781,2573835,1482116,1482112,2573826,4304690,4304649,2573793,2573792,4304645,2573810,2573811,4304684,6859091,10405296,10409230,10409229,15085903,15085902,15086035,15085548,10405136,6859368,6859369,10405141,15085554,21001629,21001630,21001631,21001636,15085813,15085814,15085887,21001723,15085686,10405267,6859052,6859053,6861597,4306268,2574813,2574812,4306265,6861589,10409284,15092651,15085928,10407346,10407347,10405273,6859061,6859062,6859065,10405280,10405254,6861552,4306243,2574805,2574804,4306238,6861542,10409226,15092573,15092575,15092576,21001951,21001950,28185106,21002004,15085925,15085924,21001999,28184701,36661340,46528832,36661349,28184711,28184710,28184832,21001747,21001748,28184799,21001718,15085679,15085674,10409235,10409234,6861583,4306263,4306262,6861580,10409296,15092656,21013958,21001693,15085653,10405245,10405246,15085657,15085697,15085702,15085703,10409277,6861577,4306258,2574809,2574808,4306254,6861571,10409272,15092633,21013936,21013837,15092561,10409221,10409222,15092567,21001994,21001993,28185161,28184804,28184806,36661452,46528942,36661500,28184848,21001753,15085719,15085720,21001733,21001730,21001714,21001704,21001705,15089704,10407358,10407356,10409289,10409290,10409282,10409281,15092642,21013852,21001685,256827207,57884671,256827214,46583637,46528868,36691313,36691314,46577599,36697198,28206515,21013886,15092598,10409255,10409249,10409250,10409262,15092616,21013914,28206543,36661881,46529315,36697122,28206462,28206461,28185800,28185799,28185803,36662572,36697245,46529277,36661825,36661824,46529273,46529282,46529286,46583626,57884887,46529233,36661781,28185433,21002177,21002179,21009856,15089709,15089710,21009862,28201336,36691310,46577596,36697133,36661612,36661610,46529086,36691319,36691320,46528953,36661460,28184821,28184823,21013879,21013873,15092591,15092592,15092610,21013902,28206527,36697216,46583703,57884934,57884933,46583616,46525368,46525370,46528905,46528906,36697249,36697250,36661832,28185094,21001944,21001945,28185099,36661840,46529292,46529243,36661794,28185059,21001913,21001914,28185062,28201324,21009850,21009851,28201328,36691300,46577580,57884781,46529079,36661605,36661604,46529074,46583656,46583657,46528979,36661478,28184829,28184827,36661472,28206506,28206505,36697184,28206523,28206522,36697207,46583686,57960124,70585955,70585954,70585832,57884692,46528912,36661433,28184789,21001711,21001710,28184783,36661426,28185085,28185088,36661820,46529263,57884911,57884738,46529240,36661786,28206574,21013942,21013943,28206579,36691289,36691294,36691296,46577578,57954268,70585867,70585866,70585861,57884777,46583665,36697162,36697161,36697164,28206493,28206495,36697176,46528973,36697187,36697186,36661443,36661444,46528936,46577592,46583690,57960128,57960114,57960115,70678589,70585819,57884678,46528886,36661412,28184776,28184779,36661418,46528897,46529258,46577585,57954274,57884743,46528967,36661465,36661464,46528963,36697267,36697266,46583760,46577565,46577567,46577575,46577576,57954263,70673319,60487848,60487849,70674961,57960109,46583653,36697157,36697152,257405736,49388500,57956067,57960167,49084599,49084598,49084545,49084546,49084614,49084613,57884701,46583711,36697223,28206534,28206535,36697228,46583719,49084586,49084585,39154917,30557357,30557358,39154922,49084790,57960103,70678575,60789351,60789352,60487913,60487912,73234716,84122479,70585923,60487862,49084569,49084570,57884793,57884794,60487951,60487952,73234725,73234704,70678596,60487843,49084559,49084557,60487838,49388511,39460160,39460159,49084605,39154738,39154737,39154753,30557261,30557260,39154749,49084620,57960152,46583736,36697238,28206538,28206537,36697234,46583728,39154733,39154732,49084589,49084660,257590201,73234712,60487900,49084727,49084726,49084794,39154929,39154928,49084629,39154763,39154762,46582700,39154799,30557288,23139888,23139887,30557281,30557318,23139903,16879625,11809463,7888257,5009907,5009909,7888260 Dl.O(d2) = 72723040,86320526,100282639,114313077,128195820,261753815,165970887,174325152,271753192,111759410,97834703,83973437,70445914,70445915,70445918,61876855,61876856,74668763,88293923,84231013,70677683,57959043,46582529,36696029,28205435,21013035,15091946,10408844,267959042,2574731,1482751,838424,472590,265566,147015,147017,265574,472605,838454,1482804,2574836,4305938,4305939,6861045,4306212,4305074,2574134,1482348,1482346,2574130,4303770,6857771,6859573,6859572,6857744,6857745,10403337,6857765,6857764,10403348,6858862,6858854,4304512,2574148,2574147,4305082,4305591,4305590,6860482,4306034,4306035,4305602,2574466,2574467,4305606,6860521,4305622,2574476,1482616,838350,472554,265553,147010,147008,265546,472547,838336,1482582,2574432,2574653,2574654,4305944,4305078,2574141,1482358,838152,838150,1482223,1482222,2573975,4304836,4305067,4303754,4303755,2573164,1481530,1481531,2527247,4226688,2573715,1482052,1482053,1482361,2574155,4305094,4305586,6860515,10407570,10407572,6860533,4305598,4305597,6860531,10407591,6860543,4305613,2574471,1482611,838346,472551,472540,472541,838328,838334,1482592,2574425,4304873,2574004,2574003,4304868,2574170,1482371,838163,472419,472418,838156,1482364,2574160,4305103,4303764,2573157,2573158,2573154,1481525,1481524,2573151,4303745,4304517,4304519,2574151,2574150,4305086,6859587,10405301,10405299,6860499,6860500,10407575,6860527,6860526,10405283,10405860,10407578,6860508,4305582,2574454,1482601,838341,838322,838323,1482577,1482587,2574436,4305566,6858806,4304463,4304462,6745507,4304597,2573757,1482342,838145,838144,1482071,2573746,4304580,6858957,6857756,4303760,4303759,4303743,2573145,2573146,2573955,4304815,6858857,6858858,10405024,10405168,10405167,10405176,6859101,6859100,4305569,4305570,6860494,10405287,6859070,6859071,4305097,4304862,4304863,6859273,4305578,2574450,1482596,1482595,2574443,2573994,2573978,2573979,4304842,4304468,2573665,2573666,4304473,6858815,4304594,2573764,1482080,837968,837967,1482076,2573754,4304588,6858963,6859243,4304825,2573963,2573965,2573957,2573956,4304820,6859236,10405448,10405173,6858973,4304600,4304601,4304696,2573840,2573841,4304703,6859108,6860341,6858954,4305436,4305435,6859011,6859010,6859077,4304663,2573799,2573800,2573823,2573824,1482236,838064,838063,1482230,2573986,4304855,6859267,6859314,6859391,4304956,2574074,1482297,1482067,1482068,2573744,4304577,6858950,6860373,6859171,6859172,6859239,10403326,10403327,10405463,10407566,15085881,15085692,15085691,15085600,10405197,10405196,6859158,6858980,6858981,10405185,10407339,6860351,4305447,2574335,2574336,4305452,6859029,4304636,2573782,2573781,2573835,1482116,1482112,2573826,4304690,4304649,2573793,2573792,4304645,2573810,2573811,4304684,6859091,10405296,10409230,10409229,15085903,15085902,15086035,15085548,10405136,6859368,6859369,10405141,15085554,21001629,21001630,21001631,21001636,15085813,15085814,15085887,21001723,15085686,10405267,6859052,6859053,6861597,4306268,2574813,2574812,4306265,6861589,10409284,15092651,15085928,10407346,10407347,10405273,6859061,6859062,6859065,10405280,10405254,6861552,4306243,2574805,2574804,4306238,6861542,10409226,15092573,15092575,15092576,21001951,21001950,28185106,21002004,15085925,15085924,21001999,28184701,36661340,46528832,36661349,28184711,28184710,28184832,21001747,21001748,28184799,21001718,15085679,15085674,10409235,10409234,6861583,4306263,4306262,6861580,10409296,15092656,21013958,21001693,15085653,10405245,10405246,15085657,15085697,15085702,15085703,10409277,6861577,4306258,2574809,2574808,4306254,6861571,10409272,15092633,21013936,21013837,15092561,10409221,10409222,15092567,21001994,21001993,28185161,28184804,28184806,36661452,46528942,36661500,28184848,21001753,15085719,15085720,21001733,21001730,21001714,21001704,21001705,15089704,10407358,10407356,10409289,10409290,10409282,10409281,15092642,21013852,21001685,256827207,57884671,256827214,46583637,46528868,36691313,36691314,46577599,36697198,28206515,21013886,15092598,10409255,10409249,10409250,10409262,15092616,21013914,28206543,36661881,46529315,36697122,28206462,28206461,28185800,28185799,28185803,36662572,36697245,46529277,36661825,36661824,46529273,46529282,46529286,46583626,57884887,46529233,36661781,28185433,21002177,21002179,21009856,15089709,15089710,21009862,28201336,36691310,46577596,36697133,36661612,36661610,46529086,36691319,36691320,46528953,36661460,28184821,28184823,21013879,21013873,15092591,15092592,15092610,21013902,28206527,36697216,46583703,57884934,57884933,46583616,46525368,46525370,46528905,46528906,36697249,36697250,36661832,28185094,21001944,21001945,28185099,36661840,46529292,46529243,36661794,28185059,21001913,21001914,28185062,28201324,21009850,21009851,28201328,36691300,46577580,57884781,46529079,36661605,36661604,46529074,46583656,46583657,46528979,36661478,28184829,28184827,36661472,28206506,28206505,36697184,28206523,28206522,36697207,46583686,57960124,70585955,70585954,70585832,57884692,46528912,36661433,28184789,21001711,21001710,28184783,36661426,28185085,28185088,36661820,46529263,57884911,57884738,46529240,36661786,28206574,21013942,21013943,28206579,36691289,36691294,36691296,46577578,57954268,70585867,70585866,70585861,57884777,46583665,36697162,36697161,36697164,28206493,28206495,36697176,46528973,36697187,36697186,36661443,36661444,46528936,46577592,46583690,57960128,57960114,57960115,70678589,70585819,57884678,46528886,36661412,28184776,28184779,36661418,46528897,46529258,46577585,57954274,57884743,46528967,36661465,36661464,46528963,36697267,36697266,46583760,46577565,46577567,46577575,46577576,57954263,70673319,60487848,60487849,70674961,57960109,46583653,36697157,36697152,257405736,49388500,57956067,57960167,49084599,49084598,49084545,49084546,49084614,49084613,57884701,46583711,36697223,28206534,28206535,36697228,46583719,49084586,49084585,39154917,30557357,30557358,39154922,49084790,57960103,70678575,60789351,60789352,60487913,60487912,73234716,84122479,70585923,60487862,49084569,49084570,57884793,57884794,60487951,60487952,73234725,73234704,70678596,60487843,49084559,49084557,60487838,49388511,39460160,39460159,49084605,39154738,39154737,39154753,30557261,30557260,39154749,49084620,57960152,46583736,36697238,28206538,28206537,36697234,46583728,39154733,39154732,49084589,49084660,257590201,73234712,60487900,49084727,49084726,49084794,39154929,39154928,49084629,39154763,39154762,46582700,39154799,30557288,23139888,23139887,30557281,30557318,23139903,16879625,11809463,7888257,5009907,5009909,7888260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8616267, s2 = 13212274, dlinesl.size( ) = 2 s1 = 8616267, s2 = 13212274, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8616267, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 3374123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3374123, s2 = 4836049, int(edited[s2]) = 0 s1 = 3374123, s2 = 4836049, d1 = 21, d2 = 77 Dl.O(d1) = 111833662 Dl.O(d2) = 147189019,159548229,263354021,197528767,204047874,209486819,213948741,217610711,220666441,223265854,221194114,218268053,217610710,265098409,223265852,221194119,221194120,223700321,221194121,218268058,214784866,214784865,217610711,220666441,223265854,220666443,264956236,210551978,205371612,205371613,274070179,218268060,221194123,265506739,225514020,223265855,220666442,220666441,223265854,220666443,264956236,210551978,205371612,205371613,274070179,218268059,221194117,265190998,214784864,210551976,210551975,214784863,218268054,264748692,274070179,218268060,221194116,218268055,218268054,218268061,221194125,223700318,223265855,220666442,220666441,265479595,225871864,225871863,265555748,221194117,265190998,214784864,264916691,265190998,214784864,210551976,205371611,199112130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3374123, s2 = 4836049, dlinesl.size( ) = 2 s1 = 3374123, s2 = 4836049, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3374123, Dl.E( ) = 78, 3.79e-05 seconds used appending s1 = 10230856, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3627411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3627411, s2 = 15060270, int(edited[s2]) = 0 s1 = 3627411, s2 = 15060270, d1 = 23, d2 = 26 Dl.O(d1) = 125651196 Dl.O(d2) = 36969243,46848107,58216064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3627411, s2 = 15060270, dlinesl.size( ) = 2 s1 = 3627411, s2 = 15060270, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3627411, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 6989774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6849786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16314339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16314339, s2 = 13331280, int(edited[s2]) = 0 s1 = 16314339, s2 = 13331280, d1 = 2, d2 = 1 Dl.O(d1) = 142163887,128809174,114912048,114912047,128809171 Dl.O(d2) = 18649865,25215627,32932512,41864417,52191779,64029212,77165326,91075554,105288503,119514957,257697362,159672698,147324629,134112494,120280902,106079649,91884033,77959101,64764154,257861076,42439557,33446473,25675642,19053938,13602141,13602140,13602192,9596397,6300898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16314339, s2 = 13331280, dlinesl.size( ) = 2 s1 = 16314339, s2 = 13331280, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16314339, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7136075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10352009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352009, s2 = 7136640, int(edited[s2]) = 0 s1 = 10352009, s2 = 7136640, d1 = 0, d2 = 13 Dl.O(d1) = 70869383,258656445 Dl.O(d2) = 263083477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352009, s2 = 7136640, dlinesl.size( ) = 14 s1 = 11300940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300940, s2 = 10184988, int(edited[s2]) = 0 s1 = 11300940, s2 = 10184988, d1 = 104, d2 = 84 Dl.O(d1) = 153040807,151789185,139085522,125744554,125744555,127368124,127368125,127368126,119065698,104880208,258087200,259336674,259902887,112321058,112321057,261083879,272174056,100456985,260684469,270880833,73549123,73549126,60802073 Dl.O(d2) = 236378446,266482824,233402697,232207368,230883369,265665610,225845390,223670788,264913296,214742420,214742419,218230429,264913299,264410251,199052732,199052731,205317748,263786200,273533359,126820679,126820678,140170451,142005880,128642438,128642437,119988653,105754655,105754654,271826574,133854360,119988673,105754665,258190228,257882554,256197348,86674130,73069132,60328365,60328366,73069134,257882558,24551023,18114443,255612215,24551027,24551025,256577839,258325691,260790035,115243493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300940, s2 = 10184988, dlinesl.size( ) = 20 s1 = 14096114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11167150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6985204, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 467798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 467798, s2 = 14061582, int(edited[s2]) = 0 s1 = 467798, s2 = 14061582, d1 = 38, d2 = 43 Dl.O(d1) = 11861037,11861041,16946552,11860542,7926767,7926768,11860546,16946558,23219262,255552277,12227237,12227238,11863185,11863184,16950542,23223762,23677048,30642258,28025344,28025343,30641274,39239218,269369137,48311385,48311384,52432813,42084738,269299938,49165820,60565283,70890720,70890721,259285011 Dl.O(d2) = 46579843,255800662,255011652,2574598,2574597,4305836,6860884,10408166,15090937,20999058,255786417,14963044,10295438,6768494,4242019,2536306,1461532,827297,827298,1461535,2536309,4242024,6768506,7677936,5950640,5950639,9095618,8594221,5584092,3464505,2054576,1178784,1178786,2054580,3464518,5208309,3177586,3177585,5208308,254830725,255540945,257459281,21578796,21578797,28850675,28850660,21578789,21578786,25868057,25868056,33673979,42166953,43281187,34184488,34184487,39157720,33171634,33171633,40637076,50696401,49932528,49932529,40988266,32205931,32205933,40988270,36735638,28240597,28240596,28240108,21041285,15113556,15113555,17948539,14118411,9713514,6390468,4010571,2403681,2403685,4010616,6390580,9713851,10084838,10084837,14230686,10424794,6873156,6873157,8665390,12749939,17988855,24388532,31921342,40637076,50696401,51427803,41230302,41230303,40989710,40989711,51133238,40988254,32205914,24615680,18165854,12882889,12882890,18165858,24615691,32205933,40988270,42128320,36735602,256831325,57999867,53251511,53251510,65240806,53676376,47924533,257504279,50274719,40253399,31565941,31565942,40253401,43166283,43166282,269367888,74226889,61447508,53676483,43166291,34083074,34083073,43166289,53676481,53676543,53676541,256646918,31129789,255557646,17325665,23642367,31129785,36914947,269772215,36790268,28293683,21086704,255544289,15175286,15175285,21123531,28335482,23550648,17242565,255544293,31031770,24213700,17843413,12635677,8579237,5574305,3457920,2049998,1175693,659995,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229275,19860803,26678429,254537692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 467798, s2 = 14061582, dlinesl.size( ) = 42 s1 = 7612529, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6852625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6852625, s2 = 7693381, int(edited[s2]) = 0 s1 = 6852625, s2 = 7693381, d1 = 7, d2 = 11 Dl.O(d1) = 259286469 Dl.O(d2) = 272829157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6852625, s2 = 7693381, dlinesl.size( ) = 14 s1 = 8120215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6992417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6992417, s2 = 5956804, int(edited[s2]) = 0 s1 = 6992417, s2 = 5956804, d1 = 107, d2 = 167 Dl.O(d1) = 261089115 Dl.O(d2) = 236937619,236089833,235158129,235158127,236089832,236937624,237709893,238411513,238411518,238411519,266833020,266688353,266539375,235158125,235158127,236089832,236937624,237709893,238411513,238411508,237709898,236937627,236937616,236089826,235158148,235158147,266454555,235158123,236089828,236937619,236089833,235158129,235158127,236089832,236937624,237709893,238411513,238411505,238411506,238411509,237709886,237709887,237709894,236937626,236089837,235158132,235158120,266362203,234134301,235158127,236089832,236937624,237709893,238411513,238411508,237709898,236937627,236089838,266362205,234134304,266539377,266362213,233009139,266034025,228822596,227053680,227053681,227053679,225026112,265500684,273665338,50501156,257334434,17880602,17880601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6992417, s2 = 5956804, dlinesl.size( ) = 100 s1 = 8757298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8757298, s2 = 6801011, int(edited[s2]) = 0 s1 = 8757298, s2 = 6801011, d1 = 24, d2 = 16 Dl.O(d1) = 274295710,175059323,164255263,261641359,126291461,272830021,139662413,126291487 Dl.O(d2) = 258663285,84517560,84517559,273886452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8757298, s2 = 6801011, dlinesl.size( ) = 20 s1 = 11328578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15024675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195603, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3648633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3648633, s2 = 7188064, int(edited[s2]) = 0 s1 = 3648633, s2 = 7188064, d1 = 11, d2 = 27 Dl.O(d1) = 126451505 Dl.O(d2) = 263771692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3648633, s2 = 7188064, dlinesl.size( ) = 2 s1 = 3648633, s2 = 7188064, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3648633, Dl.E( ) = 44, 1.19e-05 seconds used appending s1 = 3397713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3397713, s2 = 13242114, int(edited[s2]) = 0 s1 = 3397713, s2 = 13242114, d1 = 23, d2 = 54 Dl.O(d1) = 112583018 Dl.O(d2) = 682183,682184,803922,803971,1413007,2443670,4084326,6167020,3858789,3858790,6167025,9412696,12825450,12825449,13353248,13353246,9412501,6166876,6166877,9412505,13738951,14423341,9921812,9921221,6569200,4115226,2461525,1422888,809475,809477,1422895,2461542,4115264,6569256,9325677,9995631,6569241,6569240,9995623,7380356,4662602,4662603,4083655,2443318,1412826,803881,803880,1412821,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237401,420603,740000,1296188,739830,739832,1296195,2235015,3732812,5616143,8635776,11209807,254528149,4699808,3751427,2246452,2246450,3751414,5998571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3397713, s2 = 13242114, dlinesl.size( ) = 24 s1 = 6854104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15954491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15954491, s2 = 14483177, int(edited[s2]) = 0 s1 = 15954491, s2 = 14483177, d1 = 16, d2 = 14 Dl.O(d1) = 63336270,51612097,41386008,32535449,32535448,41386007,257293848,63336269,63336268,63336267,71213746,58492037,58492036,71213744,84782731,98710937,112706704,126570700,139934458,152640684,164491371,261106440,262659142,200344800,206398032,211404422,215496555,264181806,224181435,226305101,228154206,229777211,231218021,232510403,265846568,234733473,233670550,232501969,231208888,229767247,228142929,226291934,224165987,221714444,218857976,215475299,211381035,206371940,200315563,193145506,184791555,175224138,164443041,152587227 Dl.O(d2) = 15418284,254303658,7038377,7038378,10658208,13366151,15873446,15873447,15873452,254757413,4593024,2763276,2763275,4593022,7045918,7045917,10668219,11001363,11001362,15872398,11002179,7283102,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,8719511,255216505,24521738,32096991,40868773,51003659,62626417,75565213,89323073,103416262,103416263,117545908,131347039,144572564,156973353,168423924,178733673,187841794,195785491,202589461,208308369,213025632,216882220,220079415,222780282,225103293,265512122,230435918,231815036,233054980,234175953,235195298,266619903,238440124,239079067,239666272,240209869,240712816,241178706,241609930,242008873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15954491, s2 = 14483177, dlinesl.size( ) = 2 s1 = 15954491, s2 = 14483177, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15954491, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 3399573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3399573, s2 = 13989601, int(edited[s2]) = 0 s1 = 3399573, s2 = 13989601, d1 = 7, d2 = 26 Dl.O(d1) = 112649739 Dl.O(d2) = 2342059,2342060,3911996,6245980,6178379,6178380,9428773,13759169,19255054,25917002,33723601,257235663,65186912,78470990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3399573, s2 = 13989601, dlinesl.size( ) = 2 s1 = 3399573, s2 = 13989601, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3399573, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 8491245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7138037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7138037, s2 = 14128096, int(edited[s2]) = 0 s1 = 7138037, s2 = 14128096, d1 = 9, d2 = 8 Dl.O(d1) = 263098438,139899547,126536484 Dl.O(d2) = 193158907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7138037, s2 = 14128096, dlinesl.size( ) = 18 s1 = 15404707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14887267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2499395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2499395, s2 = 6262924, int(edited[s2]) = 0 s1 = 2499395, s2 = 6262924, d1 = 37, d2 = 6 Dl.O(d1) = 71266357,257449204 Dl.O(d2) = 245058885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2499395, s2 = 6262924, dlinesl.size( ) = 2 s1 = 2499395, s2 = 6262924, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2499395, Dl.E( ) = 54, 1.81e-05 seconds used appending s1 = 13696893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8483116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6839902, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15752069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6855240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6855240, s2 = 11175144, int(edited[s2]) = 0 s1 = 6855240, s2 = 11175144, d1 = 89, d2 = 110 Dl.O(d1) = 259313733 Dl.O(d2) = 126369814,112498376,98502654,84577163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6855240, s2 = 11175144, dlinesl.size( ) = 28 s1 = 6614638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9217846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6994629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3409179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3409179, s2 = 6704047, int(edited[s2]) = 0 s1 = 3409179, s2 = 6704047, d1 = 26, d2 = 14 Dl.O(d1) = 112924513,126779032 Dl.O(d2) = 257534548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3409179, s2 = 6704047, dlinesl.size( ) = 2 s1 = 3409179, s2 = 6704047, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3409179, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 1452518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3660015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6799126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6799126, s2 = 7920201, int(edited[s2]) = 0 s1 = 6799126, s2 = 7920201, d1 = 62, d2 = 74 Dl.O(d1) = 258647694 Dl.O(d2) = 6596622,10037838,14587977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6799126, s2 = 7920201, dlinesl.size( ) = 34 s1 = 6627908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264876, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15617753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8567694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9414977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16061225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092724, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14097754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6898485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6898485, s2 = 1150675, int(edited[s2]) = 0 s1 = 6898485, s2 = 1150675, d1 = 6, d2 = 11 Dl.O(d1) = 259872952 Dl.O(d2) = 99441318,85499630,71914525,59176645,47777854,37854665,29286585,254708946,15867971,21960884,21209442,15242873,15242872,21209438,28433556,36864583,46319235,37840667,29274149,28978074,23676618,17356582,15198865,10482976,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499836,15196016,15196726,10481834,6910822,6910820,10481827,15196715,21151040,15969001,15969000,22074266,29404778,37968854,47887250,258112401,84376071,70817112,58099973,46727948,36844833,36844834,37751823,33203579,32906326,25194895,18633154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6898485, s2 = 1150675, dlinesl.size( ) = 2 s1 = 6898485, s2 = 1150675, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6898485, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14747108, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6859443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6943142, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6947819, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15170014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14985615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11343758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 554851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6998942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6998942, s2 = 2455785, int(edited[s2]) = 0 s1 = 6998942, s2 = 2455785, d1 = 17, d2 = 25 Dl.O(d1) = 261162731 Dl.O(d2) = 10274361,254997527,255784045,17803935,255587357,31679430,40372835,50407720,256546447,31679431,28002832,20837958,255784045,24171355,31679431,28002832,28002831,31679432,31679433,31679432,24171356,17803935,255587357,31679430,40372835,50407720,256546447,31679431,28002832,20837958,255784045,17803935,255587357,31679430,40372835,46314778,46314779,57659074,70349156,83874147,97733030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6998942, s2 = 2455785, dlinesl.size( ) = 2 s1 = 6998942, s2 = 2455785, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6998942, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 6861275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6861275, s2 = 2001063, int(edited[s2]) = 0 s1 = 6861275, s2 = 2001063, d1 = 39, d2 = 5 Dl.O(d1) = 259371501 Dl.O(d2) = 52061111,52061112,259005535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6861275, s2 = 2001063, dlinesl.size( ) = 2 s1 = 6861275, s2 = 2001063, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6861275, Dl.E( ) = 48, 2.1e-05 seconds used appending s1 = 14795455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14795455, s2 = 11292638, int(edited[s2]) = 0 s1 = 14795455, s2 = 11292638, d1 = 3, d2 = 13 Dl.O(d1) = 241815675 Dl.O(d2) = 150544517,162663248,173684214,183469608,192023429,199381651,205606889,210756332,214962454,218422159,221328493,223818228,225976579,227859710,229513919,230983330,232300144,233488925,234567960,234567962,233488926,274532494,235550470,236445454,235550466,234567957,234567958,235550464,234567956,233488923,233488922,266046996,235550468,235550461,235550462,236445451,237262465,238006628,238683695,266624074,239566896,266624076,237618167,236837989,236837990,237618168,238327545,238973154,238973157,238327548,237618171,237618170,237262468,266164788,235550469,236445455,237262470,266463938,235036469,234000142,266175928,231606960,230207457,228631528,226839168,224783458,222414892,219655310,216388040,264364836,201787078,194845699,186735232,177422103,166877031,155185226,142541697,142541696,129165245,115234057,115234058,101156549,87158493,73540112,60792875,49392281,39463845,30859327,23428241,23428240,30859325,39463842,49392280,60792874,259468227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14795455, s2 = 11292638, dlinesl.size( ) = 2 s1 = 14795455, s2 = 11292638, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14795455, Dl.E( ) = 24, 2e-05 seconds used appending s1 = 9710225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9710225, s2 = 6956642, int(edited[s2]) = 0 s1 = 9710225, s2 = 6956642, d1 = 19, d2 = 15 Dl.O(d1) = 260594269,113796949,272210301 Dl.O(d2) = 260594271 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148002, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16376139, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13279415, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3689641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8399244, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8399244, s2 = 11297550, int(edited[s2]) = 0 s1 = 8399244, s2 = 11297550, d1 = 202, d2 = 144 Dl.O(d1) = 127770476,113895378,99876862,258707656,48206761,38297350,256946431,269811833,113895374,261179513,153799979 Dl.O(d2) = 169604839,262091104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8399244, s2 = 11297550, dlinesl.size( ) = 20 s1 = 6862681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7040677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14940903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14940903, s2 = 12752011, int(edited[s2]) = 0 s1 = 14940903, s2 = 12752011, d1 = 95, d2 = 77 Dl.O(d1) = 28477961,21259207,15295094,15295095,12054253,12054252,17150754,18961029,20969101,20969102,15271780,15271781,13529500,13529499,17691160,15293969,10558554,10558557,15293973,13520730,13520731,13508392,12251539,12251540,15475670,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,10565936,15301737,15301738,18970583,18970582,18970630,18970629,25565093,18953928,18953930,18960790,13524873,13524872,18960788,25549483,24811671,18322543,16623206,16623207,13497994,13497993,10709020,255038723,9939944,9939945,14448367,20142608,25563331,18951763,18951765,25563338,33324600,269085511,271548725,127869428 Dl.O(d2) = 254148530,254303205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14940903, s2 = 12752011, dlinesl.size( ) = 30 s1 = 14106953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6863576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14083005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083005, s2 = 14986170, int(edited[s2]) = 0 s1 = 14083005, s2 = 14986170, d1 = 5, d2 = 17 Dl.O(d1) = 127937617,114057108,100029845,86066434,72467792,254789580,267832232,22534893,16361152,16361153,22534894 Dl.O(d2) = 141297734,153969035,141297733,141297732,153969032,153969037,165742877,260026134,176577145,165930612,165930611,176577143,176577147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083005, s2 = 14986170, dlinesl.size( ) = 2 s1 = 14083005, s2 = 14986170, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14083005, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 8615111, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3449726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14107640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6839810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3457829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4796000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4796000, s2 = 14102287, int(edited[s2]) = 0 s1 = 4796000, s2 = 14102287, d1 = 0, d2 = 0 Dl.O(d1) = 213006182,216864767,220063594,222710895,219994130,216774944,264831599,208140901,202380757,195529250,187519077,178317298,167890152,156309114,261330697,116610611,260760035,130455730,128256931,114380358,100356604,86399942,258793151,60066524,60066525,60066526,268958227,30164840,255493955,255493953,30164838,256598122,60066523,255627718,86399941,76343738,63313943,51591697,41367830,32519513,24876576,24876575,32519512,25940605,19277460,13780194,9448066,6194187,6194188,9448069,13780197,19277466,18527694,13256361,13256358,13655475,13228350,9019728,7886136,5805443,5805441,5805425,5805427,8897142,13057105,18382762,15750123,14476267,9960389,9960392,13251562,13142954,13142953,18499125,17603717,17603714,18639650,18647086,13259040,13259036,13258879,9975016,6555962,5899678,3685160,2205905,2205907,3682665,3682663,3551974,3551975,3009034,3009033,3691397,2209917,2209921,267748546,9039999,13251137,18637345,25200071,32912690,255239350,255638296,77112006,91007058,257755176,257881205,43824194,43824196,54563598,66818064,66818092,66818091,55119147,55119146,49664705,49664704,49664759,39664392,34447043,26831437,19963054,14293485,14293483,9830898,6458015,4047974,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423365,2423362,4047972,2423856,2423853,4049759,6449632,6449629,9815884,14286726,19950127,26811318,34865486,44217759,48911418,38989444,38989442,48911410,57609843,46265555,46265557,57609850,66310197,54162109,43555923,34397064,26485858,19727848,14249813,254683837,6438978,9795026,14249829,19890117,26718087,34725125,44020398,54790803,61125831,55119168,44278153,34912433,26845444,25612254,25612257,23528319,23528316,31001054,34447043,26831437,19963054,14293485,14293483,9830898,6458015,4047974,2423370,2423369,4047983 Dl.O(d2) = 213006182,216864767,220063594,222710895,219994130,216774944,264831599,208140901,202380757,195529250,187519077,178317298,167890152,156309114,261330697,116610611,260760035,130455730,128256931,114380358,100356604,86399942,258793151,60066524,60066525,60066526,268958227,30164840,255493955,255493953,30164838,256598122,60066523,255627718,86399941,76343738,63313943,51591697,41367830,32519513,24876576,24876575,32519512,25940605,19277460,13780194,9448066,6194187,6194188,9448069,13780197,19277466,18527694,13256361,13256358,13655475,13228350,9019728,7886136,5805443,5805441,5805425,5805427,8897142,13057105,18382762,15750123,14476267,9960389,9960392,13251562,13142954,13142953,18499125,17603717,17603714,18639650,18647086,13259040,13259036,13258879,9975016,6555962,5899678,3685160,2205905,2205907,3682665,3682663,3551974,3551975,3009034,3009033,3691397,2209917,2209921,267748546,9039999,13251137,18637345,25200071,32912690,255239350,255638296,77112006,91007058,257755176,257881205,43824194,43824196,54563598,66818064,66818092,66818091,55119147,55119146,49664705,49664704,49664759,39664392,34447043,26831437,19963054,14293485,14293483,9830898,6458015,4047974,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423365,2423362,4047972,2423856,2423853,4049759,6449632,6449629,9815884,14286726,19950127,26811318,34865486,44217759,48911418,38989444,38989442,48911410,57609843,46265555,46265557,57609850,66310197,54162109,43555923,34397064,26485858,19727848,14249813,254683837,6438978,9795026,14249829,19890117,26718087,34725125,44020398,54790803,61125831,55119168,44278153,34912433,26845444,25612254,25612257,23528319,23528316,31001054,34447043,26831437,19963054,14293485,14293483,9830898,6458015,4047974,2423370,2423369,4047983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4796000, s2 = 14102287, dlinesl.size( ) = 2 s1 = 4796000, s2 = 14102287, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4796000, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13706691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13706691, s2 = 10159758, int(edited[s2]) = 0 s1 = 13706691, s2 = 10159758, d1 = 30, d2 = 27 Dl.O(d1) = 128276950,128276856,128276857,261212581,154282329,141626932 Dl.O(d2) = 4870027,4870028,7681436,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,2452258,4099385,4099302,4099301,2899619,2899618,4811256,7604985,11437231,14340755,14340754,20022536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13706691, s2 = 10159758, dlinesl.size( ) = 2 s1 = 13706691, s2 = 10159758, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13706691, Dl.E( ) = 32, 1.38e-05 seconds used appending s1 = 9396326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9396326, s2 = 16251330, int(edited[s2]) = 0 s1 = 9396326, s2 = 16251330, d1 = 44, d2 = 47 Dl.O(d1) = 256847710,39883325,31203460,23715753,17557715,17557716,23902050,31395343,30865015,23435767,255672020,25560645,23620862,17565076,12393740,8375655,8375654,8110427,8110425,11914516,7969921,7969924,11914523,15411367,12379665,8365310,6048997,6048996,9235927,13499576,13535757,13535758,17571825,12399955,8380092,8380093,12399956,9250116,6058094,6058097,9250124,11244421,7843502,4978830,3007545,3007547,4978836,6055434,8404454,5423258,3333913,3333915,5423266,8372386,12263564,8386142,8386140,12408226,17580220,17550120,12379866,12379867,17550122,12405547,12405546,9249476,9249477,254843193,5338183,3281390,1930130,1102770,1102771,1930133,3281394,5338194 Dl.O(d2) = 238890078,238235853,237517493,236726503,266430393,233859910,232711260,231440272,230021450,228421915,226601364,224512634,222109085,219311325,216000151,212003402,207112802,201183438,194140965,185918960,176488092,165831592,154061020,154061019,165831591,165831588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9396326, s2 = 16251330, dlinesl.size( ) = 26 s1 = 6981968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6981968, s2 = 8063143, int(edited[s2]) = 0 s1 = 6981968, s2 = 8063143, d1 = 99, d2 = 110 Dl.O(d1) = 260924736 Dl.O(d2) = 18218574,12922156,8790557,8790558,12922162,13019138,9535132,6255144,3915758,3915757,6255138,9186784,13103583,8930452,5828848,5828849,6853954,4301320,4301319,3003665,1744344,991155,991154,1744336,3003649,4972983,7834307,11734183,11213655,7440522,4701424,4701426,6853885,4301285,2571639,2571637,4301276,6853863,10397445,9535145,9535142,11734228,11734230,8755370,5828870,5828872,8930498,13103667,16138665,16782244,23023317,24685254,23023237,18339946,13895647,13895506,9535109,9535108,13895502,19421846,18446395,13895661,13895658,16782368,11734254,10397548,10397551,15074772,20987537,28167676,254355928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6981968, s2 = 8063143, dlinesl.size( ) = 38 s1 = 3465319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3465575, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3710218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3710218, s2 = 14112516, int(edited[s2]) = 0 s1 = 3710218, s2 = 14112516, d1 = 6, d2 = 12 Dl.O(d1) = 128374760 Dl.O(d2) = 30278946,30278947,38864338,48786131,60182455,72921434,259427319,114500676,128374762,141719901,139910713,126547233,112684606,98690173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3710218, s2 = 14112516, dlinesl.size( ) = 2 s1 = 3710218, s2 = 14112516, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3710218, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 3497411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16275703, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14670105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8305047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7079179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7079179, s2 = 11216544, int(edited[s2]) = 0 s1 = 7079179, s2 = 11216544, d1 = 12, d2 = 15 Dl.O(d1) = 262267750 Dl.O(d2) = 38919776,30333452,256450849,269361105,60234534,258788230,48840224,38919776,30333452,256450849,48840220,60234537,257555688,32235930,30333451,30333450,38919774,41028346,48840217,38919772,30333449,30333448,38919771,48840215,60234534,258788230,48840224,48840213,41028347,32235932,24638271,18182529,18182528,24638269,30333451,30333450,30333453,22932696,16697976,11658670,11658669,16697974,255950693,38919767,38919778,38919777,257575375,60234539,60234540,72971661,258676106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7079179, s2 = 11216544, dlinesl.size( ) = 2 s1 = 7079179, s2 = 11216544, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7079179, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10204631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6868391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6868630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16073733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6737665, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6869963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14514029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14514029, s2 = 6812369, int(edited[s2]) = 0 s1 = 14514029, s2 = 6812369, d1 = 284, d2 = 44 Dl.O(d1) = 194784034,263226252,142452231,129076538,115147464,101071714,87075566,73458100,60709773,270877899,128843265,258397926,60557562,60557561 Dl.O(d2) = 126752152,258771136 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311526, s2 = 11152652, int(edited[s2]) = 0 s1 = 11311526, s2 = 11152652, d1 = 83, d2 = 53 Dl.O(d1) = 16766654,17099416,259463413 Dl.O(d2) = 155119206,142474341,142474342,272230237,100483395,260065244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311526, s2 = 11152652, dlinesl.size( ) = 52 s1 = 6870493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15637607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11312780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312780, s2 = 16297330, int(edited[s2]) = 0 s1 = 11312780, s2 = 16297330, d1 = 40, d2 = 27 Dl.O(d1) = 155185525,142542001,129165521,115234334,101156852,87158818,73540471 Dl.O(d2) = 57732693,57732692,70427194,83953617,97812622,111734692,112516374,98521414,84596473,71032061,58316196,46949237,37069689,28567467,21340140,21340141,28567469,37069693,255039126,37294585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312780, s2 = 16297330, dlinesl.size( ) = 2 s1 = 11312780, s2 = 16297330, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11312780, Dl.E( ) = 44, 1.79e-05 seconds used appending s1 = 14539405, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16114825, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8034177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8034177, s2 = 6494692, int(edited[s2]) = 0 s1 = 8034177, s2 = 6494692, d1 = 53, d2 = 0 Dl.O(d1) = 15327497,10586447,9193922,6018974,3765319,2256029,2256033,3765329,6018987,9193943,9193875,9193876,13444825,18868272,18868651,25468489,18869480,18869481,18869777,13446245,9194868,6019673,3765773,2256273,2256272,3765770,6019666,7571009,4788106,2886064,2886063,4788102,7571002,6551711,4104448,2455099,254082658,6551702,6551703,9968795,7570989,4788094,4788095,7570991,11394854,254922692,18868703,25468952,33215872,27091642,20192845,14488460,14488461,20192753,18868092,18868090,13444696,9193789,6018895,6018894,8272360,5337837,5337838,3765181,2255955,1309333,1309332,2255951,3765176,6018710,9193470,13444422,18867724,13444484,13444404,13444405,18867704,25467891,25467996,18868685,254650946,18868109,13444712,9193643,6018816,6018815,9193641 Dl.O(d2) = 5367309,5367311,8317762,12314097,17466472,17919544,17924232,17912060,17912059,24294286,24294236,17924544,12700230,8628410,5610644,3484814,2069229,2069228,3484811,5610639,8628404,12699944,17924209,12699953,8628196,5610446,5610447,8628198,12699955,17924218,24308707,24294417,17912238,12690345,12690347,12314068,8317739,5604655,5604653,8620606,12690087,17911997,17912215,24294403,17912220,12690328,8620854,8620855,12690333,17912228,24294413,31809560,40505014,40523326,31826273,24309075,24309074,21124378,21124377,15176022,12690240,8620760,8620761,12690243,17912147,17912262,12690371,8620895,8620896,12690377,8628407,8628408,12700225,255205025,11912217,11912218,16998024,23261060,17911995,17911994,21137882,15187447,15187448,12690325,8620851,5604831,3480108,3480109,5604835,8620859,10466538,6899195,6899194,8623790,12694353,17917355,24295808,17913362,12691201,10466547,10466549,15176013,16242286,22404566,29767331,31823471,37415977,28874339,21598866,15571151,10770522,7116342,7116341,10770517,15571144,18735857,17924540,17922527,16998016,11912212,7968309,5069995,3073639,1792933,1792932,3073633,5069980,7968286,11912174,269305554,49199851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8034177, s2 = 6494692, dlinesl.size( ) = 20 s1 = 16077153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10176243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10176243, s2 = 6486374, int(edited[s2]) = 0 s1 = 10176243, s2 = 6486374, d1 = 21, d2 = 10 Dl.O(d1) = 260089124,258848186,74111248,61328577,49845501,49845502,256491156,257617624,270362458,259472750,258225426,87717185,74111245,61328576,256491158,257617622,61328575,49845497,39822060,255540358,257036456,101690689,115735323,101690693,87717183,74111241,255988676,49845500,256491156,257617624,270362458,259472750,258225426,101690696 Dl.O(d2) = 255096230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10176243, s2 = 6486374, dlinesl.size( ) = 22 s1 = 6872911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6872911, s2 = 11492530, int(edited[s2]) = 0 s1 = 6872911, s2 = 11492530, d1 = 13, d2 = 29 Dl.O(d1) = 259494761 Dl.O(d2) = 201963204,201963205,264206542,264278191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6872911, s2 = 11492530, dlinesl.size( ) = 2 s1 = 6872911, s2 = 11492530, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6872911, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 3496851, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14592216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11179644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2286083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6661548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6661548, s2 = 7135439, int(edited[s2]) = 0 s1 = 6661548, s2 = 7135439, d1 = 143, d2 = 101 Dl.O(d1) = 257060862,258874774,74204908,260114011 Dl.O(d2) = 226125995,227988224,265687618,223987586,221519444,218639521,215218605,211064564,205981862,205981863,264158128,199832836,192560810,263069060,125705496,259882748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6661548, s2 = 7135439, dlinesl.size( ) = 48 s1 = 8538007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8538007, s2 = 8258160, int(edited[s2]) = 0 s1 = 8538007, s2 = 8258160, d1 = 6, d2 = 6 Dl.O(d1) = 127406765,140762410,143080634,129750579,115851041,115851040,115851042,101804687,87830604,74225587,61446005,257645341,39951347 Dl.O(d2) = 127406765,140762410,143080634,129750579,115851041,115851040,115851042,101804687,87830604,74225587,61446005,257645341,39951347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8538007, s2 = 8258160, dlinesl.size( ) = 2 s1 = 8538007, s2 = 8258160, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8538007, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 15661221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14621919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1691731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7036760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7036760, s2 = 8579621, int(edited[s2]) = 0 s1 = 7036760, s2 = 8579621, d1 = 103, d2 = 123 Dl.O(d1) = 261683060 Dl.O(d2) = 173508416,176413772,176413775,176413789,165751674,153978899,153978898,165751673,176413787,185850808,191879697,185850802,263557873,176413780,165751665,153978894,153978893,262729491,185850803,185850804,191879697,185850802,263557873,176413780,165751665,153978892,153978891,165751662,176413775,176413789,165751674,153978899,261190903,261190901,153978896,165751669,273356767,263911733,185850807,176413788,165751674,153978899,261190903,114068730,259395575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7036760, s2 = 8579621, dlinesl.size( ) = 2 s1 = 7036760, s2 = 8579621, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7036760, Dl.E( ) = 124, 3.81e-05 seconds used appending s1 = 14172292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6874523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6874523, s2 = 16284479, int(edited[s2]) = 0 s1 = 6874523, s2 = 16284479, d1 = 17, d2 = 45 Dl.O(d1) = 259508857 Dl.O(d2) = 101947217,87975118,74373369,61597149,50117488,43299219,43299218,53824416,43299222,34201195,26328047,19600739,14044551,9656948,9656947,255304545,17062590,255530987,17062591,23327787,256236234,39349462,49276037,49277358,39350693,254696474,39351337,254696476,43299215,44549510,55396310,67735524,74221710,61441863,49963663,39946705,31271815,23786282,17455451,254727928,12305303,256010795,39946702,49963659,61441860,74221708,87826741,101800758,97968091,84094460,84094459,70558091,70558092,57856544,46500461,46500462,57856546,57856542,46500460,255793804,70558087,84094456,81153025,67687251,55347569,257505617,38033309,38033250,38033251,47908625,37992442,268912515,28363475,23257564,255463488,7965761,7965763,11391269,16368533,22544152,29899688,38456492,269815609,86075066,100038295,114065045,127945046,141304810,153975699,259011562,140154262,257770208,112950010,256111618,71464143,58734423,47346677,37439606,28899319,21624154,15593543,10787316,10787319,15593535,16419644,14926534,14926532,20824690,20838326,20838328,14939122,14939124,10789562,7128547,7128549,10789575,15596853,16298465,11340159,11340157,16298450,22466500,28076796,36544802,46406194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6874523, s2 = 16284479, dlinesl.size( ) = 2 s1 = 6874523, s2 = 16284479, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6874523, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 3965081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16227721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3505744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3505744, s2 = 3930408, int(edited[s2]) = 0 s1 = 3505744, s2 = 3930408, d1 = 20, d2 = 75 Dl.O(d1) = 115978371 Dl.O(d2) = 141656552,154309240,166058704,263184307,194313409,201340174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3505744, s2 = 3930408, dlinesl.size( ) = 2 s1 = 3505744, s2 = 3930408, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3505744, Dl.E( ) = 98, 2.29e-05 seconds used appending s1 = 3506025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3506025, s2 = 16288629, int(edited[s2]) = 0 s1 = 3506025, s2 = 16288629, d1 = 1, d2 = 3 Dl.O(d1) = 115982379,259468232 Dl.O(d2) = 257613516,40086066,31405679,23914397,23733387,17408743,12396702,8377776,5406686,5406685,8377761,12396674,12256172,8277297,5411898,3326760,1956444,1956442,3326754,3333523,1960517,1119969,1119968,1960525,3333534,5422707,7903486,5023972,3040956,3040955,3320580,5400638,8367933,8376622,12395132,17165064,12068857,12068856,8388035,5412761,5412762,8388040,8271664,5337468,3326729,3326731,5411839,8367003,5400067,3320292,1953118,1115862,1115863,1953125,3320313,5400128,8367123,11748439,12261371,8280540,5342552,5342553,8280599,11244667,254654796,8282774,5343660,3284218,254399297,8282779,12265086,17403964,23721765,28149441,31401335,38577392,30006488,22636390,16448285,16448286,22636388,21760007,15704868,10871967,7188285,4528729,2722336,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,659976,1175614,2049836,3457541,5573645,5574665,8577996,5573593,5573594,8578000,12633649,15237884,10511666,6931659,6931660,10511672,15237896,14196977,9759416,6416860,6416859,9759407,11291688,11291686,16241675,11891624,7951296,5057138,5057137,7951291,11891613,16978436,19659993,14092131,14092133,19659998,21760726,24297416,21960462,21960460,16042345,16042344,22164471,23245064,16978549,11891707,11891704,13170032,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195956,255017050,18169051,12885155,12885154,18169055,22883214,22883213,30280804,38866365,38550299,38550298,43362431,34262650,254786966,29976687,38545457,36522614,28057346,28057345,29247892,26387174,26387173,34264529,32394634,24771989,24771990,28659927,30169400,30169401,26022441,26022440,26631644,254125434,14197786,19346877,14197319,12334202,9490831,6224218,4326223,4326224,6891542,10454792,10774813,9758967,9758966,14196288,14196336,9758988,9758990,9759016,6416649,6416646,9759009,11102303,11626933,11626931,14087711,16565497,11547313,11547314,9692750,9692749,14088577,14212593,14212589,19839051,22874986,19654334,17118764,17118762,21104531,17920560,12697117,12697114,17920553,19662162,19662175,21103841,20795866,14903167,10246859,10246862,255101810,255104638,28325898,21116198,15170094,10462616,10462618,15170104,17085516,11998036,8050894,254823955,17085507,23353088,30776954,39378470,49306150,257331648,60069311,48672980,38751317,30168143,29991585,29991586,38561782,48475169,59866815,72604764,86202274,100164574,114194851,261199597,154117555,271783806,115977507,101933008,87960232,74358036,256897330,50101458,44503799,35126185,35126183,44503797,38827461,38827462,43160776,39054853,39054852,48976965,58221745,46853941,256222690,28477569,255488897,11493261,7644114,7644113,11493258,16496039,13278867,9063329,9063330,5926235,5926236,9063352,13278896,17529990,23874341,268996527,60139009,59801708,48416684,256526344,29947110,32765958,25069410,25069411,32765961,41681887,51993054,63808393,259001237,90790469,104966821,119160059,132992901,146224282,158597034,155448200,155448201,167087927,167087929,167087928,177593312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3506025, s2 = 16288629, dlinesl.size( ) = 2 s1 = 3506025, s2 = 16288629, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3506025, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 3506486, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3507412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3507412, s2 = 7119598, int(edited[s2]) = 0 s1 = 3507412, s2 = 7119598, d1 = 0, d2 = 7 Dl.O(d1) = 116017735,261298021 Dl.O(d2) = 262818939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3507412, s2 = 7119598, dlinesl.size( ) = 12 s1 = 13527411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14922504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14922504, s2 = 4772785, int(edited[s2]) = 0 s1 = 14922504, s2 = 4772785, d1 = 52, d2 = 54 Dl.O(d1) = 72603129,59865174,48473599,39067788,30475529,255645606,11759655,11759654,7851645,4983706,4983703,7851629,11759777,16816897,16819254,11761547,11761544,16819266,23068824,30479880,31298751,23812867,17478913,17478916,19477348,13939057,9567719,6278475,6278472,9567707,13939042,19477309,26182921,34032134,39645958,39645961,39063406,30471829,30471833,39063448,39063495,39063498,34883371,26824956,19958775,14290862,9817603,6450248,6450252,4047709,2423299,1401973,1401970,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269039,19922223,26501426,19908973,14261200,14261196,19909021,26750060,256732589,54919715,259753553,79900643,66496910,54314844,43659947,34459692,34459695,43435487,34329529,26449646,26449643,34329556,43435644,53971979,54968522,49486708,39546797,30931302,23529692,23529689,30965546,30965549,39606182,49579801,54994286,56284221,45248451,45248454,54628519,43885825,34614403,34614400,26625238,26625239,30402039,38990455,43600320,34422118,34422122,43600367,54232353,64068236,54945335,54945332,66686258,54457817,54456839,54456841,66684949,79402917,66031425,66031426,79402922,80104548,80104549,89232006,102614127,88607175,88607174,80444997,80444998,86367130,72770173,60033069,60033068,66199691,60896412,60896411,67041221,54766110,54766114,47414610,37506812,37506809,47414599,58801731,49631485,45650987,45650990,45651036,35978782,34877520,26821036,26818332,19954484,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047757,2423316,2423313,4045348,2422588,2422585,4045377,6453167,9816492,14287929,19739307,14146769,14146773,19739326,26462065,34353370,43478705,54041158,53989746,256772032,79456993,93590540,108016661,122428901,136398963,149653138,161942123,272608069,116126401,102068081,88081540,74469053 Dl.O(d2) = 265083647,220450867,220450868,223088112,225363847,227341481,227341480,228557650,226754507,224686705,222305103,219530713,216246315,212284238,207435240,201554742,194568827,186413884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14922504, s2 = 4772785, dlinesl.size( ) = 16 s1 = 6855599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6855599, s2 = 3751754, int(edited[s2]) = 0 s1 = 6855599, s2 = 3751754, d1 = 9, d2 = 8 Dl.O(d1) = 259317060,119245202 Dl.O(d2) = 130079999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6855599, s2 = 3751754, dlinesl.size( ) = 12 s1 = 8466099, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15066873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15066873, s2 = 3464171, int(edited[s2]) = 0 s1 = 15066873, s2 = 3464171, d1 = 1, d2 = 4 Dl.O(d1) = 74569345 Dl.O(d2) = 114459423,100434883,86477696,72882309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15066873, s2 = 3464171, dlinesl.size( ) = 2 s1 = 15066873, s2 = 3464171, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15066873, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 3754981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13651451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9187262, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15628727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15628727, s2 = 14164831, int(edited[s2]) = 1 s1 = 15895526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15895526, s2 = 11471980, int(edited[s2]) = 0 s1 = 15895526, s2 = 11471980, d1 = 22, d2 = 20 Dl.O(d1) = 8526453,5540969,3426305,3426307,5540971,5497965,3453428,3453429,4881051,4881048,4881127,3374248,3374246,2011261,1150175,1150174,2011255,1989346,1175884,660077,654638,363015,363016,654627,1166438,2036215,3422307,3391025,3391026,2005714,1146596,643215,356997,195575,195574,356972,356975,643163,645914,358421,358418,358424,358425,645919,1151433,2013228,3411491,3381709,254410643,8490251,268002786,3399810,3399811,5512439,5575793,5554088,3438425,2034217,1165137,1165136,1767341,1007089,1007090,1767345,2047114,2047113,3454249,5017111,3035075,3035076,5017116,5489214,5489213,5536890,5536891,6043238,3781178,3781179,3453904,3453905,5569377,3453908,3452730,2045790,1172971,658433,364969,364965,658122,658125,1170022,1170021,2041547,3447614,5521321,7892882,11814853,10910060,7215404,254614167,5567769,8571834,12625926,17830957,24200171,257096863,258289265,260150861,102339710,102339718,102339719,260748195 Dl.O(d2) = 260748190,102339718,270403109,74715741,88343462,102339717,116433070,116433065,102339714,102339715,260748193,130270319,261860945,156132883,156132882,167736080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15895526, s2 = 11471980, dlinesl.size( ) = 18 s1 = 9407096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9351192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3759860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3760623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7560251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7560251, s2 = 6669555, int(edited[s2]) = 0 s1 = 7560251, s2 = 6669555, d1 = 34, d2 = 41 Dl.O(d1) = 267958306,74850130,255795148 Dl.O(d2) = 64277042,64277040,257146678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7560251, s2 = 6669555, dlinesl.size( ) = 2 s1 = 7560251, s2 = 6669555, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7560251, Dl.E( ) = 54, 3.7e-05 seconds used appending s1 = 3762162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3762162, s2 = 6961382, int(edited[s2]) = 0 s1 = 3762162, s2 = 6961382, d1 = 0, d2 = 41 Dl.O(d1) = 130462187 Dl.O(d2) = 260645007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3762162, s2 = 6961382, dlinesl.size( ) = 2 s1 = 3762162, s2 = 6961382, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3762162, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 14713357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6878382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6615215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3764402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3764402, s2 = 965508, int(edited[s2]) = 0 s1 = 3764402, s2 = 965508, d1 = 0, d2 = 13 Dl.O(d1) = 130618707 Dl.O(d2) = 259556041,75041160,271591320,75041159,62218016,50697890,40638770,31922966,24390097,24390096,18389712,13062316,12751034,12751033,255603021,31922867,40638665,50697805,62217935,75041062,88691928,102701117,116793742,261337787,261878609,167996551,178409592,263656731,195601688,202443315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3764402, s2 = 965508, dlinesl.size( ) = 2 s1 = 3764402, s2 = 965508, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3764402, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 3526254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3526254, s2 = 14091396, int(edited[s2]) = 0 s1 = 3526254, s2 = 14091396, d1 = 45, d2 = 54 Dl.O(d1) = 117388427 Dl.O(d2) = 259260615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3526254, s2 = 14091396, dlinesl.size( ) = 64 s1 = 11407134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3766745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3766745, s2 = 14317157, int(edited[s2]) = 0 s1 = 3766745, s2 = 14317157, d1 = 7, d2 = 16 Dl.O(d1) = 131295872 Dl.O(d2) = 31728230,31728229,40420410,50455646,61948525,74744766,78526129,92573277,80889879,79674021,66281778,66281779,79673961,79673960,93781097,108164452,103938825,97630342,83765314,70244180,57567397,256803269,27947308,20789914,14899702,10244886,6731551,4217581,2521641,2521642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3766745, s2 = 14317157, dlinesl.size( ) = 2 s1 = 3766745, s2 = 14317157, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3766745, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 3264930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3264930, s2 = 11577736, int(edited[s2]) = 0 s1 = 3264930, s2 = 11577736, d1 = 46, d2 = 43 Dl.O(d1) = 103396811,117521558 Dl.O(d2) = 266266017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3264930, s2 = 11577736, dlinesl.size( ) = 50 s1 = 3767807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3767807, s2 = 6626501, int(edited[s2]) = 0 s1 = 3767807, s2 = 6626501, d1 = 55, d2 = 42 Dl.O(d1) = 131361886,131361889,131361890,117561878,103432559,89338934,89338935,89338916,75579988,258474372,103432542,92576155,78528735,78528734 Dl.O(d2) = 256677501,53189682,60484214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3767807, s2 = 6626501, dlinesl.size( ) = 2 s1 = 3767807, s2 = 6626501, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3767807, Dl.E( ) = 56, 3.41e-05 seconds used appending s1 = 16043603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3768147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16284041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3532026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14642079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15503034, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8274793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9699866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9699866, s2 = 7960148, int(edited[s2]) = 0 s1 = 9699866, s2 = 7960148, d1 = 18, d2 = 14 Dl.O(d1) = 77456013,72716575,59979633,48588128,38672012,30094810,255409832,16509059,255931837,38672004,48588122,59979629,72716569,86313408,100274844,114304658,114304656,114304657,128187063,141543926,154206091,165964208 Dl.O(d2) = 2277392,2298899,3837286,4722976,7473291,11257470,16194607,13972929,9595313,9595312,254671822,26236707,31699609,24191418,17822262,254872585,5561748,3445902,3445901,254613511,268118515,24191397,268263719,17862616,24237603,31748707,33386012,255676281,13564476,9287280,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16985982,23249450,30665183,37223288,47121018,47121017,47121018,58499588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9699866, s2 = 7960148, dlinesl.size( ) = 2 s1 = 9699866, s2 = 7960148, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9699866, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 14960869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14960869, s2 = 4198085, int(edited[s2]) = 0 s1 = 14960869, s2 = 4198085, d1 = 50, d2 = 24 Dl.O(d1) = 155199716,261805390,132193553 Dl.O(d2) = 159138336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14960869, s2 = 4198085, dlinesl.size( ) = 8 s1 = 6619637, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3778681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3778681, s2 = 16073734, int(edited[s2]) = 0 s1 = 3778681, s2 = 16073734, d1 = 11, d2 = 23 Dl.O(d1) = 132439559,118599888 Dl.O(d2) = 18919188,25529061,24060354,24060352,25351607,29465447,22130615,16015750,16015751,22130618,29465455,22137267,22137265,29473787,33289264,25528740,25528741,25529035,22130612,16015747,11120071,255075549,16020738,22137260,29473777,31665243,256545415,31665260,24155535,17788397,17788399,24155536,31665246,38328830,40359859,42269907,52655815,52655390,255736830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3778681, s2 = 16073734, dlinesl.size( ) = 2 s1 = 3778681, s2 = 16073734, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3778681, Dl.E( ) = 42, 1.69e-05 seconds used appending s1 = 3778752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3778752, s2 = 14578616, int(edited[s2]) = 0 s1 = 3778752, s2 = 14578616, d1 = 5, d2 = 10 Dl.O(d1) = 132442803 Dl.O(d2) = 91679121,91679119,77752319,64569755,64569756,77752320,259667391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3778752, s2 = 14578616, dlinesl.size( ) = 2 s1 = 3778752, s2 = 14578616, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3778752, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 16127059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6882288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6882288, s2 = 7140701, int(edited[s2]) = 0 s1 = 6882288, s2 = 7140701, d1 = 2, d2 = 14 Dl.O(d1) = 259617955 Dl.O(d2) = 237043890,237043895,236209025,235293231,234288253,233183921,233183922,234288256,235293236,266550201,237806709,237806690,237043858,236208973,235293196,234288216,266375093,236208970,237043854,236209008,235293220,235293219,236209003,236208965,266372460,234288212,235293192,236208962,237043847,266626257,238500222,237806680,237806681,237043828,237043827,236208953,235293186,234288229,234288227,235293202,236208981,236208932,235293168,234288195,233183884,233183883,234288192,234288202,235293182,236208924,235293164,234288185,233183877,231962792,230606953,230606954,231962794,233183878,266372454,234288208,234288248,235293225,236209018,237043888,237043890,237043895,236209025,235293231,234288253,233183921,233183922,234288256,235293236,266550201,237806709,237806690,237043858,236208973,235293196,234288216,266375093,236208970,237043854,236209008,235293220,235293219,236209003,236208965,266372460,234288212,235293192,236208962,237043847,266626257,238500222,237806680,237043816,237043817,237043873,236208996,266372466,231962823,230606967,266050573,266272854,200705721,264487179,200705719,193594549,263126801,140556098,260563039,258718613,257484545,21881325,15805553,15805554,21881326,29193241,37754638,36581961,28109729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6882288, s2 = 7140701, dlinesl.size( ) = 2 s1 = 6882288, s2 = 7140701, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6882288, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 15705759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10226697, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8211241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8211241, s2 = 10206609, int(edited[s2]) = 0 s1 = 8211241, s2 = 10206609, d1 = 0, d2 = 27 Dl.O(d1) = 32724293,41630637,51933661,257468298 Dl.O(d2) = 146113260,132896852,119077023,119077022,259328952,90720073,258702884,119077036,271780494,158475195,262193152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8211241, s2 = 10206609, dlinesl.size( ) = 14 s1 = 3782313, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2997531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14686877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14686877, s2 = 5129908, int(edited[s2]) = 0 s1 = 14686877, s2 = 5129908, d1 = 17, d2 = 22 Dl.O(d1) = 46771129,46771128,49321442,60723648,50089520,40068241,31385704,31385705,31491368,37410939,28869682,28869683,37410942,30562791,28869677,28869678,37408065,38063332,38063330,38063350,29500383,22161454,16040116,16040107,11137661,11137663,16040123,22161464,29500393,38063360,47975503,59365905,72098948,85685340,271331147,127519647,140875337,153550714,165341472,158671841,146303990,133076502,119246493 Dl.O(d2) = 264604724,264850406,223081801,223081802,225358467,225358437,223081770,220443365,217337411,213607935,213607934,217337408,220443390,223081787,264604726,220443369,217337391,217337390,220443364,223081767,223081788,225358449,223081783,223081784,225358451,265073422,230593354,231951709,230593352,229067018,264850394,223081759,223081760,223081797,223081750,220443348,217337382,213607914,209053640,263307590,217337383,220443350,222707568,219990038,216769854,212884258,208132731,202370666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14686877, s2 = 5129908, dlinesl.size( ) = 2 s1 = 14686877, s2 = 5129908, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14686877, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 6817038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6817038, s2 = 14162573, int(edited[s2]) = 0 s1 = 6817038, s2 = 14162573, d1 = 15, d2 = 33 Dl.O(d1) = 258814786 Dl.O(d2) = 255499785,254798229,7719262,11596128,255499789,30242265,38825591,31025829,23544818,23544817,31025827,257043489,59092594,47694134,37772818,29210964,29210965,37772820,47694136,59092596,71832522,72782508,72136096,59405919,48019038,38108936,29545664,22202231,255079129,11161187,7403419,7403420,11161191,255893047,38108864,37376068,37376069,28835934,21564517,21564516,255478006,27981298,20817390,255782761,30684312,23267332,255973317,39281262,49207597,60608120,61753959,257479528,102144054,116205413,130116715,126536245,112673786,112673785,125436458,111633557,97712400,97712399,90982309,77093478,63974296,63974297,52383884,42039871,33091828,25358691,18776294,13371931,9139189,9139190,13371933,18776301,25358705,268085524,33091779,42039803,52383797,64239893,72686386,59947726,48555601,38640787,33878131,33878130,38791926,35136649,35136650,33091777,25358658,18776275,13371920,13371921,18776278,23974176,17626336,12446580,12446579,17626332,23974169,31469996,40154115,50179196,40154248,31470100,31470099,40154245,31470176,23974268,17626382,17626381,23974265,31470172,38791917,38791916,40154076,48689677,38767844,38767843,40154222,31470083,23974219,17626358,17626357,22794406,30184146,38767780,46378693,36519391,36519392,40154208,31470072,23974214,23974213,31470070,40154189,31470056,23974202,23974203,23974246,31470133,40154282,40154153,31470024,23974186,17626339,17626338,23974181,31469953,31469952,40154065,33091766,25358654,18776272,13371917,9139183,9139184,9949093,6538859,6538860,9949096,14461000,20157807,27050867,35136652,44513640,55360212,60085670,55360193,55360195,50623646,40579150,31874777,31874779,40579155,40154178,40154180,40969744,40969742,51111995,44421293,35046768,26966075,26966077,35046772,269174429,34662775,34662776,30315369,30315368,38902041,48824300,48824306,38902050,38902047,48824304,52509658,52509659,48824072,38901775,30315168,30315169,38901751,30315154,30315155,38901756,48824056,258182709,72121570,72121571,258182722,48824567,48824566,60221647,70744858,58030776,258022941,72876978,60140234,48745622,38825574,30242259,22848538,22848539,30242261,38825576,48745625,60140237,72876982,84025639,257481380,256359610,36570914,28099712,20924102,15016539,10344677,6810535,6810536,10344681,14335543,9847986,6468069,4052732,4052733,4021541,4021542,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041826,14173265,10042370,6599495,6599494,10042365,14182671,14594969,10042700,10041681,6599123,4134285,4134283,6599114,9615901,6409824,4698346,2830711,2830707,4698331,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,2306759,2306765,1593839 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7639600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15990213, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3788098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3551067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3551067, s2 = 16203738, int(edited[s2]) = 0 s1 = 3551067, s2 = 16203738, d1 = 7, d2 = 14 Dl.O(d1) = 119600402 Dl.O(d2) = 259781270,258326756,257129786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3551067, s2 = 16203738, dlinesl.size( ) = 2 s1 = 3551067, s2 = 16203738, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3551067, Dl.E( ) = 44, 1.91e-05 seconds used appending s1 = 3552094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1735222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1735222, s2 = 4482815, int(edited[s2]) = 0 s1 = 1735222, s2 = 4482815, d1 = 27, d2 = 30 Dl.O(d1) = 44623294,55472598,259641509 Dl.O(d2) = 186196290,176801488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1735222, s2 = 4482815, dlinesl.size( ) = 2 s1 = 1735222, s2 = 4482815, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 1735222, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 14976661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3554149, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6910666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6910666, s2 = 10422797, int(edited[s2]) = 0 s1 = 6910666, s2 = 10422797, d1 = 11, d2 = 0 Dl.O(d1) = 259996359 Dl.O(d2) = 18723817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6910666, s2 = 10422797, dlinesl.size( ) = 2 s1 = 6910666, s2 = 10422797, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6910666, Dl.E( ) = 30, 2.98e-05 seconds used appending s1 = 6919150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7019146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7093463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093463, s2 = 2536529, int(edited[s2]) = 0 s1 = 7093463, s2 = 2536529, d1 = 11, d2 = 29 Dl.O(d1) = 262471666 Dl.O(d2) = 50243257,48934873,47895161,47895163,59290760,72027203,73071129,60330595,48932754,39009280,30420020,30420022,270835482,48932745,48932746,60330589,59290748,59290749,72027195,85615631,86675951,100649025,99520441,85573541,71986413,71986412,85573536,73071173,73071172,71921900,59183609,59183610,71921904,75427620,62508693,60330476,48932595,39009081,30419845,30419844,39009077,48932591,60330470,73071052,86675874,75427547,75427549,71921913,71921911,73071140,62150606,50643576,40595144,40595143,39009295,30420029,23015058,16775238,16775237,255955237,39009286,48932758,39212731,30616098,30616097,39212730,49139558,60539487,50908198,40791367,40791368,48932572,48932573,60330446,62508716,62508717,75427462,75427463,86677125,86677126,86791998,86791996,86675944,86675870,75427708,75427709,86675971,73073017,60332512,48934652,48934653,60332514,73072456,60331996,48934220,48934221,60331998,62508416,62508417,75427402,75427405,89174874,100649037,86675963,73071159,73071158,75427459,62508487,50908092,40791280,32034238,24471743,24471745,32034245,39099935,39099934,49028882,60432598,50908066,50908065,62508449,60332536,48934674,39011223,30421772,30421773,39011227,48934680,60332542,50908049,40791254,32034222,24471737,24471736,32034219,40791249,40791651,32034508,32034507,40791649,50908509,62508504,75427482,62508994,62508995,75427801,73363391,73363392,75427425,62508445,50908058,40791261,32034225,32034226,40791262,50908060,40791311,32034256,24471752,18051525,18051524,24471748,32034249,40791301,50908109,62508501,75427474,86677130,73072463,60332525,48934662,39011216,39011217,48934667,50908579,50908578,50908045,50908046,40791278,32034236,32034235,40791274,40791676,32034521,24471936,24471935,32034516,40791670,50908536,62508864,75427742,89174890,89174891,100959310,89175303,89174908,75427478,75427419,62508442,50908056,255606880,62508855,50908523,50908126,40791308,40791309,50908117,50908072,50908071,62508452,75427434,89174885,89174913,75428101,62509326,50908991,50908990,62509325,255606892,58813003,58813004,50908907,50908908,62509243,71541786,71541787,75427702,62508797,50908439,50908440,60287642,60287643,60287635,60287634,50909004,40792130,40792129,255213942,75428104,75427996,62509218,62509217,62509215,50908886,50908884,50908974,50908515,50908514,50908521,254885016,75427493,62509302,62509301,75427698,75428084,75428083,62509330,50908995,40792121,32034889,24472190,24472188,32034883,40792114,37518251,28974512,28974513,37518252,40792026,50908912,62508976,50908646,40791760,32034590,32034591,40791567,32034431,32034430,40791562,40791656,40791655,48933913,39010513,39010512,48933911,40792044,255606896,40791346,40791344,50908162,40792004,32034801,32034403,32034404,32034396,32034395,40791522,50908380,50908877,40791998,40791517,32034394,24471853,24471851,24471865,24471864,32034417,40791541,50908408,60330712,73071247,86676029,89175270,75428045,62509266,50908943,50908944,50908949,62509275,75428055,75427690,62508769,60330442,48932558,39009052,39009051,48932556,60330435,60330422,60330421,73071012,75427524,75427525,258908404,103264593,258941943,62508751,50908398,40791533,40791532,50908395,62508748,62509295,50908967,50908966,62509294,75428072,89175300,100648953,89174924,75427517,75427516,86676031,75427684,62508759,62508760,75427686,86676035,86676036,100649067,89175278,89175277,95201901,81145064,67679209,67679208,81145059,89175348,89175349,85933643,72339993,59605528,59605530,72339998,85933649,99888895,112474174,112474175,103264610,89175004,89175003,99940341,99940342,99940329,85982243,72387242,59652782,59652783,72387248,85982216,85982217,89175290,75428067,75428068,89175296,75428180,75428179,89175012,86677067,86677066,100649990,114695436,103264741,100648962,86675855,73071029,73071030,75427669,89174989,103264586,103264589,89174990,75427676,75427677,88297879,88297878,84260639,84260640,98154534,85933636,85933637,89338961,89338965,98483040,84560396,84560399,98483046,112474181,99940346,85982263,85982264,89174998,89174999,103264599,113963034,113963029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093463, s2 = 2536529, dlinesl.size( ) = 2 s1 = 7093463, s2 = 2536529, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7093463, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 11115864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115864, s2 = 8325375, int(edited[s2]) = 0 s1 = 11115864, s2 = 8325375, d1 = 1, d2 = 2 Dl.O(d1) = 170772770 Dl.O(d2) = 268403452,77544832,254774310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115864, s2 = 8325375, dlinesl.size( ) = 2 s1 = 11115864, s2 = 8325375, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11115864, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14098993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14098993, s2 = 13707492, int(edited[s2]) = 0 s1 = 14098993, s2 = 13707492, d1 = 146, d2 = 148 Dl.O(d1) = 120064274,260337116,159494343,159494331,147132310,147132311,263350687,170826107,159494331,147132310,147132311,147132330,147132329,261500866,159494310,147132296,147132295,159494306,159494344,170826124,170826136,180949716,180949685,170826081,159494304,147132292,260933980,262035371,170826118,170826117,262986686,170826087,159494310,147132296,147132295,159494306,159494344,170826124,170826136,180949716,180949685,170826081,159494304,147132292,133907609,120064260,120064261,133907611,133907630,120064273,105851994,105851993,120064278,133907637,147132288,259718748,120064257,133907605,261500858,159494294,262035368 Dl.O(d2) = 216104638,216763032,263925578,202361273,202361274,273727288,263182146,187490343,178279660,261212102,143725962,143725963,156252806,167841976,178279664,178279648,167841961,156252797,143725955,143725956,156252799,167841965,178279651,187490337,187490341,178279658,167841973,167841971,178279655,178279668,178279637,261758886,167841968,176671682,186087847,194295144,263573198,212118981,216104638,216763032,263925578,202361273,202361274,273727288,263182146,187490343,178279660,261212102,143725962,143725963,156252806,167841976,178279664,178279648,167841961,156252797,143725955,143725956,156252799,167841965,178279651,187490337,187490341,178279658,167841973,167841971,178279655,178279668,178279637,261758886,167841968,176671682,186087847,194295144,263573198,212118981,216104638,216763032,263925578,202361273,202361274,273727288,263182146,187490343,178279660,261212102,143725962,143725963,156252806,167841976,178279664,178279648,167841961,156252797,143725955,143725956,156252799,167841965,178279651,187490337,187490341,178279658,167841973,167841971,178279655,178279668,178279637,261758886,167841968,176671682,186087847,194295144,263573198,212118981,216104638,216763032,263925578,202361273,262747812,178279639,178279638,187490325,195506133,202361272,262747816,178279657,167841973,167841971,178279655,178279668,178279637,261758886,167841968,176671682,186087848,194295146,201324587,195506139,187490329,187490328,187490357,178279680,167841987,156252819,261212112,178279679,187490355,195506161,194295156,186087863,176671700,176671701,178279669,178279675,261212110,156252817,167841984,262271936,187490333,195506144,202361278,208124571,263925580,263573200,187490338,261758890,156252812,260035836,130399905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 16219370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7663768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11370622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3569498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3569498, s2 = 7344735, int(edited[s2]) = 0 s1 = 3569498, s2 = 7344735, d1 = 38, d2 = 101 Dl.O(d1) = 120225227 Dl.O(d2) = 89212305,103308054,261353787,262395713,178686662,263662959,198592571,265658689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3569498, s2 = 7344735, dlinesl.size( ) = 2 s1 = 3569498, s2 = 7344735, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3569498, Dl.E( ) = 110, 4.01e-05 seconds used appending s1 = 7652619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7652619, s2 = 11484914, int(edited[s2]) = 0 s1 = 7652619, s2 = 11484914, d1 = 62, d2 = 45 Dl.O(d1) = 271050246,120226226,134061053,147279466,147279467,272990957,181070620,189939249,263358946 Dl.O(d2) = 263500949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7652619, s2 = 11484914, dlinesl.size( ) = 20 s1 = 7120994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7120994, s2 = 3602208, int(edited[s2]) = 0 s1 = 7120994, s2 = 3602208, d1 = 39, d2 = 14 Dl.O(d1) = 262838809,261321887,262369136,260153883 Dl.O(d2) = 123513511,272619416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7120994, s2 = 3602208, dlinesl.size( ) = 38 s1 = 3807576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3807576, s2 = 1161540, int(edited[s2]) = 0 s1 = 3807576, s2 = 1161540, d1 = 4, d2 = 13 Dl.O(d1) = 134172113 Dl.O(d2) = 29536664,22193539,22193538,255312139,9739568,6404500,4018166,4018169,6404510,9739583,14166965,11472806,7631096,7631094,11472799,16064753,16064765,16064929,16063872,16063871,22192013,29535245,29748733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3807576, s2 = 1161540, dlinesl.size( ) = 2 s1 = 3807576, s2 = 1161540, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3807576, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 11429562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10218876, s2 = 6613337, int(edited[s2]) = 0 s1 = 10218876, s2 = 6613337, d1 = 26, d2 = 20 Dl.O(d1) = 147775652,134644346 Dl.O(d2) = 256543684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10218876, s2 = 6613337, dlinesl.size( ) = 12 s1 = 6735359, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3810535, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3575316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3575316, s2 = 4215541, int(edited[s2]) = 0 s1 = 3575316, s2 = 4215541, d1 = 5, d2 = 8 Dl.O(d1) = 65074075,65074076,78353236,92385364,106688291,120939698,134736828,147861325,160114413,171339586,171339585 Dl.O(d2) = 160114411,147861324,147861325,160114407,160114408,262173836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3575316, s2 = 4215541, dlinesl.size( ) = 2 s1 = 3575316, s2 = 4215541, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3575316, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 7198056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7198056, s2 = 5281999, int(edited[s2]) = 0 s1 = 7198056, s2 = 5281999, d1 = 85, d2 = 41 Dl.O(d1) = 263892910,171384359,171384358,160165878,160165877,147918032,134799535 Dl.O(d2) = 219218942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7198056, s2 = 5281999, dlinesl.size( ) = 2 s1 = 7198056, s2 = 5281999, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7198056, Dl.E( ) = 110, 5.1e-05 seconds used appending s1 = 6890250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6890250, s2 = 13179433, int(edited[s2]) = 0 s1 = 6890250, s2 = 13179433, d1 = 9, d2 = 11 Dl.O(d1) = 259714046 Dl.O(d2) = 3854330,3854332,6159929,9402203,13725691,19215888,25874767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6890250, s2 = 13179433, dlinesl.size( ) = 2 s1 = 6890250, s2 = 13179433, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6890250, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 14123977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123977, s2 = 8775382, int(edited[s2]) = 0 s1 = 14123977, s2 = 8775382, d1 = 8, d2 = 21 Dl.O(d1) = 188532711 Dl.O(d2) = 190246578,181452539,171434447,160214797,160214798,171434448,181452540,190246579,197837701,204307670,209705839,273575266,264279624,212604341,212372712,207542421,201684823,194728975,186605792,177281772,166726439,155027255,142379719,261248417,115077153,115077152,260612182,108703010,94415955,80362259,80362260,73396889,270356379,101005983,115077155,261794325,129004067,261165308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123977, s2 = 8775382, dlinesl.size( ) = 18 s1 = 6981126, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8436538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16244035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16244035, s2 = 14931850, int(edited[s2]) = 0 s1 = 16244035, s2 = 14931850, d1 = 20, d2 = 23 Dl.O(d1) = 185410579,193689704,200787837,206777944,211727079,215771554,215427881,215427882,274183984,215427883,218813423,221577152,221577154,264991708,264714273,264991710,215297385,273865462,199992064,263153434,174723916,163914245,152051695,139346441,125995927,125995926,112159740,98197071,258132360,58034995,46662262,36776938,28280901,21075969,15138996,10441286,254354398,4320995,6883289,10408665,15091669,18909289,25518981,26907813,34988571,39070306,39070305,34682254,26688036,19868985,19868983,24389060,18572445,18572444,25124528,32829009,36442313,27983227,20819025,14921824,14921823,17127190,12036436,12036437,17127196,23399239,21530408,21530411,21554717,21554718,21427990,15435296,10670792,10670794,15435312,21428019,18105335,18105334,24538925,32116356,38996614,48920447,60319045,59607682,48220900,38311010,29742409,29742408,268260308,59607671,58472803,47094898,37198976,28676237,28676238,37198980,47094905,57639532,46295290,36442328,27983241,20819009,14921815,10260810,6742656,6742655,10260806,14921811,17127174,23399213,22383035,16225266,16225265,22383031,29742072,38310679,47108861,47108862,40049696,40049695,50068946,40890139,40890138,47124631,37226797,37226798,38311282,48221129,53116135,59607676,59607675,51203392,41047171,41047170,41047156,32253963,32253955,32253954,26042685,26042686,28676246,21427979,15435292,15435294,21427984,28676252,32253982,41047179,36442319,27983234,27983230,257137023,41047256,37333234,37333233,47243204,58636873,62852896,51203525,41047345,32254106,24654685,24654686,32254108,41047348,47618792,59022403,62852940,61755999,58636854,47243176,37333188,37333189,47243177,58636856,51203573,51203424,47172802,40730291,255826446,24428699,18196647,12906726,8779825,5718233,5718234,8779830,12906731,18196656,24654624,26042675,33864695,39110965,32254054,24654663,18196675,18196674,24654658,21530452,21530453,28795753,37333240,47243211,40890134,40890133,51027538,51203454,41047244,32254032,32254031,24654731,18196718,18196717,24654725,24654576,24654579,32253934,41047118,51203337,51203408,41047209,41047207,51203418,59211473,59211472,62852814,51203394,256855178,24654701,18196698,12906757,12906756,255618449,24654618,24654619,32253995,41047191,41047407,41047406,51203581,257433752,32254044,32254043,41047137,32253940,32253939,41047134,51203357,62852776,62852886,51203513,41047321,41047320,51203512,62852882,62852943,75816173,62852879,51203504,41047303,41047304,51203403,51203405,55451385,55451386,67793504,75816214,62852938,62852937,62852919,51203566,41047389,32254130,24654695,256074897,41047388,51203563,62852915,75816199,89598268,75816151,62852785,51203365,51203363,62852784,62852851,51203471,51203352,41047130,41047129,269449701,43379112,34280558,34280557,43379108,46824358,41047365,41047361,39014868,39014867,48937934,60335649,51203495,51203494,62852873,67793508,55451390,44602418,44602419,51203381,62852800,70903231,84350308,70791513,58074240,46702206,46702207,41047380,32254127,32254125,41047379,51203551,62852902,75816186,76840948,89598263,75816139,75816141,89598265,75816206,62852922,51203567,257580534,64581819,52681462,52681463,42294927,42294925,52681424,51203534,46824325,46824326,58190397,60335683,62852868,51203485,41047286,41047287,256456028,75816168,89598275,103714188,117868610,131696298,144944724,157358036,168796515,179075389,188140040,196039849,202801250,208479397,213159039,216985492,264785956,222844785,225156169,227165152,225664775,223441280,220871988,217857315 Dl.O(d2) = 92681925,107014156,121306441,135156209,140630402,127284743,113426008,99424119,85482740,71897888,59160051,59160050,47761478,37838994,29272769,21949744,15859614,15859613,11262011,7476390,4725021,4725020,7476387,11262006,268225377,29706829,37838995,37838996,268648200,71897892,85482741,258657984,127284744,140630403,151475971,138774538,125445713,111643209,111643210,111643213,255021754,254493974,254493976,97722515,111643207,111643208,255816540,256306004,256306006,255387128,111643207,111643208,255816540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16244035, s2 = 14931850, dlinesl.size( ) = 2 s1 = 16244035, s2 = 14931850, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16244035, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 10200938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8431759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8431759, s2 = 7682774, int(edited[s2]) = 0 s1 = 8431759, s2 = 7682774, d1 = 11, d2 = 8 Dl.O(d1) = 107083583,121381155 Dl.O(d2) = 272413215,204510357,262747604,195759703,195759702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8431759, s2 = 7682774, dlinesl.size( ) = 12 s1 = 16267283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16267283, s2 = 8940967, int(edited[s2]) = 0 s1 = 16267283, s2 = 8940967, d1 = 19, d2 = 146 Dl.O(d1) = 113804295 Dl.O(d2) = 242932583,267050460,266961880,241459203,241014756,240534626,274775074,238855730,266434336,236682959,235811476,234854471,265876280,231370685,265404556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16267283, s2 = 8940967, dlinesl.size( ) = 2 s1 = 16267283, s2 = 8940967, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16267283, Dl.E( ) = 160, 4.39e-05 seconds used appending s1 = 15989133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6890492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6890492, s2 = 13179521, int(edited[s2]) = 0 s1 = 6890492, s2 = 13179521, d1 = 22, d2 = 26 Dl.O(d1) = 259720421 Dl.O(d2) = 39608,39609,73048,254082853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6890492, s2 = 13179521, dlinesl.size( ) = 14 s1 = 3585225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143573, s2 = 13637386, int(edited[s2]) = 0 s1 = 14143573, s2 = 13637386, d1 = 8, d2 = 14 Dl.O(d1) = 229880637 Dl.O(d2) = 221006042,218041103,214505899,210205162,204945036,198598179,191107190,182402526,172447939,161243157,148931014,135684484,121740710,121740711,135684485,135684481,121740708,107359631,107359630,121740706,121740722,269579286,92954834,107359648,121740709,107359631,92954789,92954790,107359632,121740711,135684486,135684480,121740707,121740706,121740722,269579286,92954834,107359648,121740709,107359631,92954789,257866110,53492587,53492585,65515982,65516113,53492736,53492735,65516111,257843477,43014536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143573, s2 = 13637386, dlinesl.size( ) = 2 s1 = 14143573, s2 = 13637386, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14143573, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 3586631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7024121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024121, s2 = 3332120, int(edited[s2]) = 0 s1 = 7024121, s2 = 3332120, d1 = 8, d2 = 10 Dl.O(d1) = 261510727 Dl.O(d2) = 93234830,79117949,65761672,65761671,79117948,93234829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024121, s2 = 3332120, dlinesl.size( ) = 2 s1 = 7024121, s2 = 3332120, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7024121, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14104635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11346062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3826492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3826492, s2 = 6648214, int(edited[s2]) = 0 s1 = 3826492, s2 = 6648214, d1 = 62, d2 = 126 Dl.O(d1) = 136254785 Dl.O(d2) = 261710838,85697526,72111300,270318428,256928644,255890298,16046325,255453037,29510962,38075318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3826492, s2 = 6648214, dlinesl.size( ) = 30 s1 = 8433779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7024901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7024901, s2 = 7646257, int(edited[s2]) = 0 s1 = 7024901, s2 = 7646257, d1 = 35, d2 = 48 Dl.O(d1) = 261526535 Dl.O(d2) = 270831878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7024901, s2 = 7646257, dlinesl.size( ) = 14 s1 = 3594856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7684087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7684087, s2 = 6832782, int(edited[s2]) = 0 s1 = 7684087, s2 = 6832782, d1 = 3, d2 = 1 Dl.O(d1) = 272482150 Dl.O(d2) = 259002292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7684087, s2 = 6832782, dlinesl.size( ) = 2 s1 = 7684087, s2 = 6832782, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7684087, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 7606893, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9239605, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3596898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8645547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3830947, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8166312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3598737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3598737, s2 = 8166313, int(edited[s2]) = 0 s1 = 3598737, s2 = 8166313, d1 = 62, d2 = 61 Dl.O(d1) = 122948418,273671630,260972581,261537465,122948402,108683394,94396373,80341957,66915647,66915648,80341959,259763923,122948407,136778480,149913780,162125474,173225142,262069063,122948409,136778483,262562201 Dl.O(d2) = 261537463,136778452,149913754,162125467,149913766,262069059,149913769,136778468,136778467,149913768,162125464,149913750,149913749,162125463,272449285,122948380,122948379,260972579,108683379,108683380,108683382,94396363,80341946,66915640,66915641,270634343,260378817,122948382,122948381,262069053,162125466,149913756,149913755,262069061,122948401,259763921,54659041,43916702,43916703,54659042,258506171,80341950,66915642,54659040,43916700,34643694,26652573,256202057,19838948,14212507,9770492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3598737, s2 = 8166313, dlinesl.size( ) = 2 s1 = 3598737, s2 = 8166313, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3598737, Dl.E( ) = 64, 2.22e-05 seconds used appending s1 = 14105142, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3599463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3833717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15889016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6893920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6893920, s2 = 1254036, int(edited[s2]) = 0 s1 = 6893920, s2 = 1254036, d1 = 31, d2 = 28 Dl.O(d1) = 259780567,123537269,261548221,136803654,122972720,108707108,94420033,80366388,66940881,54684546,43941907,34667749 Dl.O(d2) = 155744273,167377710,167377708,167377709,177873838,184873242,263503692,175320845,175320844,164556935,164556936,152719193,261113542,112814243,112814244,112814245,98822898,84895931,71322182,61724980,50246157,40225937,31539494,24036542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6893920, s2 = 1254036, dlinesl.size( ) = 2 s1 = 6893920, s2 = 1254036, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6893920, Dl.E( ) = 32, 9.06e-06 seconds used appending s1 = 8279977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3606148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3606148, s2 = 11577960, int(edited[s2]) = 0 s1 = 3606148, s2 = 11577960, d1 = 0, d2 = 17 Dl.O(d1) = 123597957 Dl.O(d2) = 230938241,266193551,233448124,232257467,232257466,233448122,233448113,232257460,232257461,233448115,232257463,230938244,229466027,227809071,227809070,229466025,230938239,232257459,233448109,234529612,234529619,235515065,234529621,266271284,230938247,230938248,232257469,233448126,234529615,233448124,232257467,230938246,230938245,232257464,274655707,235515063,266462860,233448116,233448117,234529613,235515060,236414239,266643301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3606148, s2 = 11577960, dlinesl.size( ) = 2 s1 = 3606148, s2 = 11577960, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3606148, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 9540172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6894985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6894985, s2 = 11558986, int(edited[s2]) = 0 s1 = 6894985, s2 = 11558986, d1 = 31, d2 = 36 Dl.O(d1) = 259789889 Dl.O(d2) = 266310714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6894985, s2 = 11558986, dlinesl.size( ) = 32 s1 = 16018985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8437041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9492300, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8438031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8438031, s2 = 7694883, int(edited[s2]) = 0 s1 = 8438031, s2 = 7694883, d1 = 31, d2 = 26 Dl.O(d1) = 95601579,109803904,123940286,123940285 Dl.O(d2) = 272858105,262123672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8438031, s2 = 7694883, dlinesl.size( ) = 20 s1 = 8421792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6896526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6896526, s2 = 5603885, int(edited[s2]) = 0 s1 = 6896526, s2 = 5603885, d1 = 35, d2 = 31 Dl.O(d1) = 259808525 Dl.O(d2) = 229476352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6896526, s2 = 5603885, dlinesl.size( ) = 2 s1 = 6896526, s2 = 5603885, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6896526, Dl.E( ) = 42, 1.6e-05 seconds used appending s1 = 9581794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9581794, s2 = 3084032, int(edited[s2]) = 0 s1 = 9581794, s2 = 3084032, d1 = 4, d2 = 7 Dl.O(d1) = 265345217,226056742,227883006,226002940,223847295,221359910,218456186,214999734 Dl.O(d2) = 205651817,199432153,192081333,183539199,173771221,162772632,150678978,137683102,124002126,270362560,109863673,95660180,256491462,55739032,44831275,35405929,27280288,20344857,15630577,15630578,20339965,14602300,10047770,10047767,254388370,24257329,17879749,17879748,24257327,31769517,40464270,50500340,61992292,74788861,88420771,102421335,116516979,130353424,143677901,156207158,167802066,178246312,187462663,195482831,192887928,262642312,164059973,152182558,139458842,259905490,98255614,84348227,70789445,58072180,46700159,36817535,28321661,28321662,36817537,46700161,58072181,70789446,84348229,98255616,112233624,126088586,139458844,152182559,164059974,174877315,169946418,260529060,119139377,104943636,90763788,256866912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9581794, s2 = 3084032, dlinesl.size( ) = 2 s1 = 9581794, s2 = 3084032, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9581794, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 3849490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3849490, s2 = 11022023, int(edited[s2]) = 0 s1 = 3849490, s2 = 11022023, d1 = 45, d2 = 80 Dl.O(d1) = 137692419 Dl.O(d2) = 73438226,60689823,49288371,39361324,30760435,23337712,17071533,11982952,8031921,5121209,3111266,1818096,1038051,584677,326673,180287,99100,254079765,326664,584659,1038014,1818010,1832610,1045859,1045862,1039526,585430,585434,1039536,1820873,3115797,3122640,3122639,5135582,5147545,3132258,254178041,1045025,1831117,3132266,5118787,5118788,3110112,3110111,5119709,8030494,11980238,8028357,5117486,3108463,3108464,3108484,1816430,1037187,584240,326465,180194,180195,326476,584260,1037218,1816485,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,1051119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3849490, s2 = 11022023, dlinesl.size( ) = 16 s1 = 8485807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153675, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6931428, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14191679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3628898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3628898, s2 = 11117896, int(edited[s2]) = 0 s1 = 3628898, s2 = 11117896, d1 = 21, d2 = 19 Dl.O(d1) = 125693449,139031874,151734329,163610817,174449495,184100764,192553544,199827610 Dl.O(d2) = 61425522,49947842,39930479,31255432,23770951,17442548,12295504,12295503,17442542,23770944,29834069,22467423,16299445,11341132,11341134,16299451,22467435,18407197,13074555,13074556,16457558,16457559,22648813,22467362,22467363,29833967,23268643,23268640,17005118,11918368,7973108,5073630,3076587,1795121,1795120,3076584,5073627,7536747,4767637,254535341,11341174,16299529,255744083,29834176,22467507,22467506,29834174,36614661,46481040,257066988,38406042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3628898, s2 = 11117896, dlinesl.size( ) = 2 s1 = 3628898, s2 = 11117896, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3628898, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 6688252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6688252, s2 = 11329658, int(edited[s2]) = 0 s1 = 6688252, s2 = 11329658, d1 = 20, d2 = 32 Dl.O(d1) = 257390510 Dl.O(d2) = 263504764,263106676,185539948,176076157,261665362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6688252, s2 = 11329658, dlinesl.size( ) = 2 s1 = 6688252, s2 = 11329658, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6688252, Dl.E( ) = 46, 3.1e-05 seconds used appending s1 = 6900097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11280186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280186, s2 = 11351322, int(edited[s2]) = 0 s1 = 11280186, s2 = 11351322, d1 = 16, d2 = 8 Dl.O(d1) = 58024336,46652010,256298830,28272416,28272415,36767379,46652009,58024332,70738473,84290025,98185729,270338866,126088403,259504898,84347957,70789129,58071854,46699806,36817182,28321234,21111000,15164944,10458359,6893707,6893706,4327962,4327961,6894698,10459856,15166854,21112989,254494662,15166593,10459646,10459647,15166595,21112758,28322760,28321893,28321891,35213818,28322215,21112107,21112108,28322218,36816368,46699175,268205254,22371184,16216389,16216388,267786146,29727975,22371196,16216399,11273030,7483331,7483329,11273026,16216390,22371185,29727958,38294921,46820357,36942400,36942399 Dl.O(d2) = 261115581,273318158,262136358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280186, s2 = 11351322, dlinesl.size( ) = 2 s1 = 11280186, s2 = 11351322, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11280186, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 14940151, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16069717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16034761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16034761, s2 = 4478474, int(edited[s2]) = 0 s1 = 16034761, s2 = 4478474, d1 = 20, d2 = 167 Dl.O(d1) = 38348335 Dl.O(d2) = 52161581,63990086,270466511,51332202,41146844,32331736,32331735,32331738,24715623,18242647,12940192,12940194,18242648,24715624,32331739,41146848,51332203,63013105,75996574,81052647,67585051,55243375,55243376,67585049,67585048,81052643,81052644,81052645,95110005,109364163,123555560,123555559,109364162,270135094,137287703,137287705,123555556,123555557,137287706,150329356,162464483,173504101,173504098,173504099,183306183,191875949,194286625,186079267,176663109,166022099,263181331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16034761, s2 = 4478474, dlinesl.size( ) = 2 s1 = 16034761, s2 = 4478474, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16034761, Dl.E( ) = 170, 4.2e-05 seconds used appending s1 = 7032335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7032335, s2 = 3110062, int(edited[s2]) = 0 s1 = 7032335, s2 = 3110062, d1 = 13, d2 = 0 Dl.O(d1) = 261635489 Dl.O(d2) = 98338143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7032335, s2 = 3110062, dlinesl.size( ) = 14 s1 = 7032655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3644840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3644840, s2 = 4216446, int(edited[s2]) = 0 s1 = 3644840, s2 = 4216446, d1 = 1, d2 = 9 Dl.O(d1) = 126346906 Dl.O(d2) = 160159186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3644840, s2 = 4216446, dlinesl.size( ) = 16 s1 = 8693110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8693110, s2 = 15605930, int(edited[s2]) = 0 s1 = 8693110, s2 = 15605930, d1 = 10, d2 = 9 Dl.O(d1) = 184713017,175134691,164340335,152471471,139749123 Dl.O(d2) = 84581051,71016790,58301708,46935647,37057305,257864840,15358556,10610803,7001462,4400290,4400295,4592427,7282155,7023793,4417483,4417482,7023788,8697254,8697255,7009080,4406201,2641359,1525958,1525957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8693110, s2 = 15605930, dlinesl.size( ) = 2 s1 = 8693110, s2 = 15605930, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8693110, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 2141683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2141683, s2 = 7364341, int(edited[s2]) = 0 s1 = 2141683, s2 = 7364341, d1 = 14, d2 = 26 Dl.O(d1) = 58311247,258669503,259915831 Dl.O(d2) = 265875914,274089903,184860831,273333057,271819690,58562746,58562745,71294846,84869068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2141683, s2 = 7364341, dlinesl.size( ) = 26 s1 = 14637050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14637050, s2 = 2562455, int(edited[s2]) = 0 s1 = 14637050, s2 = 2562455, d1 = 15, d2 = 21 Dl.O(d1) = 71039087,58323691,46956577,46956576,58323690,71039086,259090803 Dl.O(d2) = 72503507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14637050, s2 = 2562455, dlinesl.size( ) = 58 s1 = 9508578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128095, s2 = 3878459, int(edited[s2]) = 0 s1 = 14128095, s2 = 3878459, d1 = 13, d2 = 6 Dl.O(d1) = 193142130 Dl.O(d2) = 139873258,152583001,263098439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128095, s2 = 3878459, dlinesl.size( ) = 18 s1 = 15589620, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3881042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3653001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15919121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8291535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15921449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15625081, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14963505, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6905030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6905030, s2 = 12245067, int(edited[s2]) = 0 s1 = 6905030, s2 = 12245067, d1 = 30, d2 = 36 Dl.O(d1) = 259940147 Dl.O(d2) = 254657838,33962846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6905030, s2 = 12245067, dlinesl.size( ) = 22 s1 = 6905121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6905121, s2 = 11554056, int(edited[s2]) = 0 s1 = 6905121, s2 = 11554056, d1 = 27, d2 = 16 Dl.O(d1) = 259940861 Dl.O(d2) = 224235255,224235254,226352134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6905121, s2 = 11554056, dlinesl.size( ) = 18 s1 = 6905176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7628647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16225841, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3889063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13521839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8447957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9218568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15072469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8674081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6793284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3674454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3674454, s2 = 4989732, int(edited[s2]) = 0 s1 = 3674454, s2 = 4989732, d1 = 0, d2 = 15 Dl.O(d1) = 127343400 Dl.O(d2) = 206762094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3674454, s2 = 4989732, dlinesl.size( ) = 24 s1 = 15115320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15115320, s2 = 7531459, int(edited[s2]) = 0 s1 = 15115320, s2 = 7531459, d1 = 86, d2 = 61 Dl.O(d1) = 21974527,15880321,15880320,255725706,19789774,19789772,26595255,26226491,19511512,18842695,18842693,19511636,255194742,254694594,37946703,47865052,268177248,48371463,59753906,72488134,85524203,99470804,113481432,113481431,113481430,127351039,140707034,134101249,120267702 Dl.O(d2) = 267592732,246682441,246612483,246537278,267546306,246374871,246286394,246192100,246093399,267478442,267449424,245498075,267416774,267380532,244862113,244676742,267294356,244036911,243790943,243525830,267182504,274911468,242255155,266991516,241018474,240538834,240021996,239464700,266716228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15115320, s2 = 7531459, dlinesl.size( ) = 2 s1 = 15115320, s2 = 7531459, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15115320, Dl.E( ) = 90, 2.62e-05 seconds used appending s1 = 11345516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11738576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11738576, s2 = 14296745, int(edited[s2]) = 0 s1 = 11738576, s2 = 14296745, d1 = 15, d2 = 13 Dl.O(d1) = 173221521,173221520,263788941,264118625,206788629,200799680,200799679,263327852,261950228,140758896,127403232,113533091,99521673,258378476,258733495,271522239,90813286,104990910,119185770,127220196,113361821,99360066,258719681,47690283,37768947,29207367,21893924,15816084,15816083,255869783,37768946,47690281,59089014,270311965,85417092,85417091,99360060,113361815 Dl.O(d2) = 256748459,49360448,60763719,73512881,87131674,81596401,268598328,55710023,254997380,32150099,25704558,25704560,28248703,28248702,33554941,25765393,25765390,28252583,36747858,29207360,21893920,15816078,15816077,15816081,10960652,10960653,15816082,255061371,10960651,12149395,8178945,5248519,3206323,3206322,5248517,8178941,12149389,17270599,23583105,17270614,17270610,12149393,12149392,17270601,12149386,12149387,17270602,23583109,31067380,31067387,39745534,49764068,61242936,61242942,61242944,61242943,74023340,61242939,61242938,74023338,87627310,87627311,87627312,101594571,271851085,260505356,85697661,72111475,59378673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11738576, s2 = 14296745, dlinesl.size( ) = 2 s1 = 11738576, s2 = 14296745, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11738576, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 5068497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5068497, s2 = 10351889, int(edited[s2]) = 0 s1 = 5068497, s2 = 10351889, d1 = 45, d2 = 38 Dl.O(d1) = 210744439,264428324,150523690,271662406,261704125,127413537,113543049,259359455 Dl.O(d2) = 264135599,210744433,274393530,223810570,221320063,218412368,214951529,273501642,271173642,261001585,150523609,162643563,263036377,192007378,199367078,205593791,210744420,264428326,273297800,123768252,260410318,67794286,67794285,259797975,261001595,273297809,192007405,273297798,262093868,261001593,272782647,263036389,273336131,152896618,262192169,173665519,162643612,150523664,150523663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 3903667, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10343361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3680095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6909257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6909257, s2 = 10280661, int(edited[s2]) = 0 s1 = 6909257, s2 = 10280661, d1 = 28, d2 = 66 Dl.O(d1) = 259982415 Dl.O(d2) = 233386233,274685181,274709546,266639203,266639205,237189314,266550546,234473127,235462111,266550544,233386213,266168622,265784944,225819283,265633794,221129626,221129625,223642258,221129631,218193747,214697480,264619394,198953916,264405981,214697482,274250245,265085294,210447045,210447046,264910231,265085296,264619396,198953918,263706550,262916194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6909257, s2 = 10280661, dlinesl.size( ) = 30 s1 = 3681241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16320827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16320827, s2 = 7458300, int(edited[s2]) = 0 s1 = 16320827, s2 = 7458300, d1 = 1, d2 = 43 Dl.O(d1) = 84545286 Dl.O(d2) = 266853797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16320827, s2 = 7458300, dlinesl.size( ) = 2 s1 = 16320827, s2 = 7458300, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16320827, Dl.E( ) = 68, 3.39e-05 seconds used appending s1 = 6910288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9199628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7667841, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6910584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15619953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6996440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6996440, s2 = 11160202, int(edited[s2]) = 0 s1 = 6996440, s2 = 11160202, d1 = 40, d2 = 53 Dl.O(d1) = 261133934 Dl.O(d2) = 257590172,7332898,7332897,11058966,15937242,22039714,28316185,22045924,15942930,15936189,15936188,11062564,7335091,4633457,4633456,7335085,11062553,11077389,15951520,11070020,7340241,4636443,4636442,2793712,1620497,921561,921559,1620489,2793696,4638051,7343111,11074290,11060638,11060637,15939495,22042227,256377607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6996440, s2 = 11160202, dlinesl.size( ) = 30 s1 = 8498193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8498193, s2 = 10217109, int(edited[s2]) = 0 s1 = 8498193, s2 = 10217109, d1 = 13, d2 = 15 Dl.O(d1) = 113888955,113888956,127764150,141121323,153794604,259255704 Dl.O(d2) = 113888958,113888957,127764151,141121325,153794607,260476250,260476248,183995769,176253908,174336916,163493107,151613084,151613083,163493105,165576448,259874584,153794607,165576450,174336918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8498193, s2 = 10217109, dlinesl.size( ) = 2 s1 = 8498193, s2 = 10217109, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8498193, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6975703, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6998128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8405045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3692501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6911730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6911730, s2 = 11647172, int(edited[s2]) = 0 s1 = 6911730, s2 = 11647172, d1 = 23, d2 = 21 Dl.O(d1) = 260008877 Dl.O(d2) = 258252355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6911730, s2 = 11647172, dlinesl.size( ) = 2 s1 = 6911730, s2 = 11647172, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6911730, Dl.E( ) = 40, 1.29e-05 seconds used appending s1 = 7103463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7103463, s2 = 9634572, int(edited[s2]) = 0 s1 = 7103463, s2 = 9634572, d1 = 85, d2 = 105 Dl.O(d1) = 262627478 Dl.O(d2) = 240011117,240529012,240493172,239972107,239409768,238800577,238137830,237409909,236609493,235731647,234766434,233707115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7103463, s2 = 9634572, dlinesl.size( ) = 18 s1 = 16275477, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3695787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3695787, s2 = 4991953, int(edited[s2]) = 0 s1 = 3695787, s2 = 4991953, d1 = 45, d2 = 115 Dl.O(d1) = 127948342 Dl.O(d2) = 206817328,200833808,263603212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3695787, s2 = 4991953, dlinesl.size( ) = 2 s1 = 3695787, s2 = 4991953, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3695787, Dl.E( ) = 134, 4.39e-05 seconds used appending s1 = 15906337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15906337, s2 = 6926663, int(edited[s2]) = 0 s1 = 15906337, s2 = 6926663, d1 = 0, d2 = 0 Dl.O(d1) = 95601367,81567750,68077809,55679093,44770199,255752524,27221252,20292790,20292791,23294600,17034894,17034895,23294602,30711177,35344748,27973570,27973569,28158556,36633009,46499952,57855955,70557440,257997238,258621318,100946214,86962461,73350881,60605790,49205064,258207359,59151069,47752437,37830048,37830047,37830049,47752438,49098434,39168244,30570341,23152844,23152843,30570339,29926493,22566423,16386041,16386040,22566420,29926492,38487183,48390349,59773483,72507634,86106338,100071665,114102389,127987124,260178046,165786441,162555222 Dl.O(d2) = 95601367,81567750,68077809,55679093,44770199,255752524,27221252,20292790,20292791,23294600,17034894,17034895,23294602,30711177,35344748,27973570,27973569,28158556,36633009,46499952,57855955,70557440,257997238,258621318,100946214,86962461,73350881,60605790,49205064,258207359,59151069,47752437,37830048,37830047,37830049,47752438,49098434,39168244,30570341,23152844,23152843,30570339,29926493,22566423,16386041,16386040,22566420,29926492,38487183,48390349,59773483,72507634,86106338,100071665,114102389,127987124,260178046,165786441,162555222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15906337, s2 = 6926663, dlinesl.size( ) = 2 s1 = 15906337, s2 = 6926663, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15906337, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 3696841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3696841, s2 = 14302813, int(edited[s2]) = 0 s1 = 3696841, s2 = 14302813, d1 = 157, d2 = 149 Dl.O(d1) = 128019387,141388246,260566426,264229181,263882122,215727108,211677583,274272524 Dl.O(d2) = 219669301,265106432,194870919,186763870,177455292,177455291,186763869,177455294,166915464,155229390,261262361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3696841, s2 = 14302813, dlinesl.size( ) = 2 s1 = 3696841, s2 = 14302813, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3696841, Dl.E( ) = 158, 5.01e-05 seconds used appending s1 = 3921821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14986627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14986169, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13403245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11377030, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3927868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3927868, s2 = 3871276, int(edited[s2]) = 0 s1 = 3927868, s2 = 3871276, d1 = 44, d2 = 40 Dl.O(d1) = 141595488 Dl.O(d2) = 139643745,262159665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3927868, s2 = 3871276, dlinesl.size( ) = 28 s1 = 14695290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14695290, s2 = 3556304, int(edited[s2]) = 0 s1 = 14695290, s2 = 3556304, d1 = 3, d2 = 1 Dl.O(d1) = 257566470,141682725,141682723,141682724,154335159,166084822,176721817,176650422,166009364,154256431,141599988,128248809,128248811,141599991,141599990,154256432,166009366,176650424,186066504,194274179,201304730,207221608,212101136,216087496,219390034,216087498,212101137,212101138,215915163,211893953,206972919,201015820,201015819,197291255,189603273,180705970,170575101,159237949 Dl.O(d2) = 146864762,133608249,119734729,105496415,91274152,77354209,77354208,91274150,105496414,119734728,111923594,97984148,84109255,70572653,254757872,36647831,28172189,28172190,34672263,31755624,24243998,17867915,12653241,8590890,8590888,12653237,17867907,24243993,29073427,254203596,30144096,22757184,16545413,11531643,11531644,254917062,22757185,30144098,38725498,48646459,257189632,86377251,100334441,114358915,128236035,141586792,154243747,165997467,176639112,186056031,194264741,201295936,197230778,189537822,180634575,170497823,159155242,146779617,133521665,119648317,105411097,91188863,258385939,52273007,41934199,32993484,25269374,18697515,13304498,9086098,9086099,13304503,18663530,20934612,20934613,21943795,28111314,25265481,25265482,25232277,18697514,18697513,25269372,32993483,41934197,52273006,64122095,259012829,94450373,80390754,66960411,54701013,43956911,34681793,26687555,255697020,14235165,14232765,9783982,9783980,14232760,14232680,9783918,9783915,14232674,13333505,13333504,14225874,14225873,19856579,26673658,34666814,255654540,17241684,12124524,12124526,17241687,17240896,17240895,23548711,19873985,19873984,26693979,256068924,268311572,23781212,21999190,21999189,24786564,18304531,18304530,18730894,18730893,25306471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14695290, s2 = 3556304, dlinesl.size( ) = 2 s1 = 14695290, s2 = 3556304, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14695290, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11216654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13547073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8501797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8501797, s2 = 2943209, int(edited[s2]) = 0 s1 = 8501797, s2 = 2943209, d1 = 110, d2 = 91 Dl.O(d1) = 21199214,21199213,28421975,30241011,22847466,22847465,19785103,19785102,22762272,22761977,22761978,30149311,26142186,23907363,21714246,21714248,24111842,17751430,12560126,8515649,7674414,4856022,2926349,1697510,1697508,2926341,4856006,7674391,11535627,11014051,7291202,7291206,11014068,15888383,21984274,22697662,16494871,16494873,17549301,22843109,254909600,17021060,23279808,22848646,22848647,16920188,11841753,7913938,5030911,5030913,7913941,11841760,16920202,18393711,22843093,22843092,30234178,30234179,37648581,36835259,36835257,31772717,24260475,22847482,16623642,16623640,22847475,30241025,258799553,259169112,128330424 Dl.O(d2) = 87830981,74225995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8501797, s2 = 2943209, dlinesl.size( ) = 30 s1 = 7658869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7658869, s2 = 10655736, int(edited[s2]) = 0 s1 = 7658869, s2 = 10655736, d1 = 15, d2 = 13 Dl.O(d1) = 271354347 Dl.O(d2) = 204963970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7658869, s2 = 10655736, dlinesl.size( ) = 24 s1 = 15651600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15651600, s2 = 14267401, int(edited[s2]) = 0 s1 = 15651600, s2 = 14267401, d1 = 1, d2 = 1 Dl.O(d1) = 154360896,141711924,141711923,141711926,141711925,154360898,154360899,141711928,128364821,114488861,100464253,86506085,72909480,60172459,48778013,268394116,22876243,16647976,16647979,11619685,9144186,7738290,4899528,2952892,2952891,2333796,1352668,771593,771594,1265725,1265724,2183119,3651177,5850074,8962057,11419082,9178164,8968640,254905265,15475439,255483539,21477862,15475414,11793655,7875625,5000303,5000300,7875617,11793640,11446071,11446067,16430936,22615463,22403399,21477876,21477877,28735093,37267197,47173251,58562192,71294221,84868398,98796640,112788792,126646775,261662553,152698498,262662917,263104477,193203928,200365414,206415299,206415297,206415298,211419207,215509633,218889663,265368631,226315679,228164668,229787551,266415815,232868289,231612591,230213369,228637813,226846011,226846012,224791208,265152014,216402132,212464714,207648525,201807057,194867561,186760495,177451824,166911998,155225919,142588038,129216454,115287767,115287768 Dl.O(d2) = 154360896,141711924,141711923,141711926,141711925,154360898,154360899,141711928,128364821,114488861,100464253,86506085,72909480,60172459,48778013,268394116,22876243,16647976,16647979,11619685,9144186,7738290,4899528,2952892,2952891,2333796,1352668,771593,771594,1265725,1265724,2183119,3651177,5850074,8962057,11419082,9178164,8968640,254905265,15475439,255483539,21477862,15475414,11793655,7875625,5000303,5000300,7875617,11793640,11446071,11446067,16430936,22615463,22403399,21477876,21477877,28735093,37267197,47173251,58562192,71294221,84868398,98796640,112788792,126646775,261662553,152698498,262662917,263104477,193203928,200365414,206415299,206415297,206415298,211419207,215509633,218889663,265368631,226315679,228164668,229787551,266415815,232868289,231612591,230213369,228637813,226846011,226846012,224791208,265152014,216402132,212464714,207648525,201807057,194867561,186760495,177451824,166911998,155225919,142588038,129216454,115287767,115287768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15651600, s2 = 14267401, dlinesl.size( ) = 2 s1 = 15651600, s2 = 14267401, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15651600, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6870658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3938233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11407004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8385476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16275926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3941726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16356729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16356729, s2 = 6987190, int(edited[s2]) = 0 s1 = 16356729, s2 = 6987190, d1 = 8, d2 = 19 Dl.O(d1) = 41783568 Dl.O(d2) = 261005829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16356729, s2 = 6987190, dlinesl.size( ) = 2 s1 = 16356729, s2 = 6987190, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16356729, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 15646185, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14657807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8542186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15242590, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10233054, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6918100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6918100, s2 = 11026044, int(edited[s2]) = 0 s1 = 6918100, s2 = 11026044, d1 = 22, d2 = 26 Dl.O(d1) = 260073687 Dl.O(d2) = 255636936,56689744,64354902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6918100, s2 = 11026044, dlinesl.size( ) = 16 s1 = 3945765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3945765, s2 = 6493913, int(edited[s2]) = 0 s1 = 3945765, s2 = 6493913, d1 = 25, d2 = 31 Dl.O(d1) = 142378259 Dl.O(d2) = 255195585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3945765, s2 = 6493913, dlinesl.size( ) = 2 s1 = 3945765, s2 = 6493913, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3945765, Dl.E( ) = 62, 3.89e-05 seconds used appending s1 = 3727130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3727130, s2 = 8674529, int(edited[s2]) = 0 s1 = 3727130, s2 = 8674529, d1 = 11, d2 = 17 Dl.O(d1) = 129096699 Dl.O(d2) = 263886545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3727130, s2 = 8674529, dlinesl.size( ) = 2 s1 = 3727130, s2 = 8674529, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3727130, Dl.E( ) = 46, 1.19e-05 seconds used appending s1 = 15924771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15924771, s2 = 9675297, int(edited[s2]) = 0 s1 = 15924771, s2 = 9675297, d1 = 43, d2 = 45 Dl.O(d1) = 17584488,23925850,256022089,17584512,12411792,8388657,8388656,12411761,8388637,5413120,3327438,1956791,1956792,3327441,5413125,8388648,12411780,17584495,23925935,31415721,31415722,38654913,30078055,30078054,38654912,48570825,52334265,52334266,46954698,46954697,58321823,71037417,84601592,98526402,98354825,98354826,100260975,86298353,86298352,84445116,70887907,58173674,58173675,70887910,70887898,70887897,84445102,86298350,73508471,73508470,71488683,58759525,58759526,70887935,58173700,58173701,70887938,84445086,98354803,84445135,84445114,70887905,58173673,256844827,28429242,28429241,36927892,46806230,258033299,58173670,46806233,46806232,58173668,70887899,84445105,98354815,260035050,84445129,258033301,46806243,36927899,36927900,46806245,58173688,70887863,70887864,84445065,98354782,112337694,126198245,112337689,112337690,126198247,112337702,98354798,98354799,257561450,73508467,258170516,115203186,115203187,126198253,260635090,98354794,84445077,84445076,98354792,98354801,101125383,87127298,87127297,98354790,87127302,73508477,73508475,84445079,98354795,112337700,258794066,84445066,84445067,84445059,70887860,70887859,84445056,98354775,112337682,126198239,261636749,152303302,139573562,139573561,142512103,152244509,139513055,139513056,139513062,139513063,152244516,139513083,139513082,152244535,164131249,273533556,262747086,261673714,128174265,128174264,141532264,154195610,152244530,139513078,126138144,258670356,84388740,84388741,98297379,112278887,126138152,139513091,152244542,152244527,139513075,260518308,152244539,152244540,152244520,139513067,126138131,126138130,139513065,126138138,112278881,258046112,84388739,98297376,112278879,126138134,139513068,152244521,164131226,164131252,164131251,262167854,192946664,192946654,192946655,262586696,273060604,194231829,194231830,194231832,261003134,176598080,176598082,165951694,165951695,259799802,141528347,141528348,154192048,162659510,261003136,154192086,273134919,165951692,154192088,259799814,154192097,141528407,259172638,165951720,176598094,173680464,162659507,150540703,137511745,123789384,109601171,109601170,123789383,259799826,128170157,114286488,257923520,114286481,128170153,141528387,154192076,165951710,165951700,154192065,141528369,128170062,114286380,114286379,128170060,141528366,154192062,155694594,154192082,141528391,259799812,154192080,141528424,128170151,114286480,100255996,86292884,86292885,100256000,114286451,114286450,114286449,100255970,86292868,86292869,100255973,114286458,128170133,141528409,154192084,141528393,133938935,133938936,128170084,128170067,114286383,100255875,86292780,86292779,100255873,114286382,269196706,95348377,81291870,67825650,67825651,81291871,95348379,95348353,81291844,72695138,59957183,48565306,38650024,30074114,22693954,22693952,30074113,38650023,48565304,59957179,255755794,59957200,72695171,86292861,100255955,114286442,128170118,259172636,128170096,114286414,100255916,86292824,86292762,72695095,59957157,48565288,38650016,30074110,30074111,38650018,48565289,59957159,72695099,86292768,100255861,114286373,269641550,81124485,67657685,67657684,81124483,95182912,109438901,123631938,109438895,95182908,95182909,100255847,100255846,95182899,81124477,72695116,59957169,59957168,72695112,86292787,100255876,258531624,141528358,128170050,258531632,154192057,165951699,173567650,162534943,150404687,258543788,257324254,86292853,72695168,72695169,86292856,100255947,114286437,128170115,141528400,154192090,165951714,165951705,154192069,141528411,141528410,137363770,123631976,123631977,257911102,123631969,259788418,81124533,81124534,270664124,123631971,134057740,147276327,137363772,123631990,109438956,109438955,123631988,137363782,134057716,134057715,260401288,123631947,123631946,137363752,150404688,162534944,162534955,159632624,159632625,159632638,147276325,147276320,147276319,147276316,134057727,120222434,120222429,106020292,91825227,77903760,64714872,52801029,42401452,33412428,25645479,19585469,254955411,6342766,6342765,9646836,14031709,19585467,26310436,34181999,43278500,42443317,42443316,256160118,42333635,42333636,33352110,25591518,18982132,13545374,9273033,6074137,6074136,9273032,13545371,18982127,25591510,33352096,42333671,52042453,41727415,41727416,52042456,63862002,52834410,42430660,42430661,257802761,77803479,259072194,91731042,91731041,91323991,77405494,64255718,52400318,52400315,64255712,53060980,42613216,33589275,25793498,25793497,33589272,42613210,53060973,53060984,42613221,42613222,53060987,61235455,49756411,256837396,23575794,23575793,256499605,46747875,36868647,28372062,28372063,36868651,36868575,28372008,28372009,36868577,28372050,256301281,33687398,25881031,19221895,19221896,25881033,33687406,42717404,53167012,65151448,70831416,58116551,46747851,36868616,256839997,40095509,40095508,50115900,50116090,40095737,31415846,31415845,31415854,31415853,31415646,23925801,23925800,31415654 Dl.O(d2) = 142515090,142515091,155159377,166852216,156045124,261755422,116335967,102240503,88241810,74611249,61819332,50336145,40310180,31621766,24116329,17755306,17432041,12286653,8297566,8297567,12286656,17432051,17432097,22352839,22352837,23759513,23759514,19099116,13635942,13635941,13325005,9104487,9104486,6116040,6116039,9337305,255278031,9493516,6226184,3897808,3897807,6226183,9493514,13840325,19351615,26028610,26028548,19351581,267827900,7581210,7581208,11409004,16392701,22575682,29242708,33849300,26028535,26028536,33849303,42893888,37211625,28687251,21437145,21437147,28317710,254724316,47349899,37443189,28903744,21629395,15598419,15598420,20911874,15006691,10336644,10336642,15006686,20911868,15588245,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,2920639,2920635,4846930,7660769,10368542,6830921,4285595,4285593,6830916,10368540,10318729,10318728,14970896,10303086,6775083,6775082,9094506,6823106,4280366,4280367,6823109,6831569,10369279,14976946,10309493,10309492,14976944,15046793,15046794,13935235,9565646,6819662,4277952,4277953,6819665,10355414,10352076,6816827,6816831,6770736,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6821614,4279315,2558544,2558542,4279308,2570451,1479878,1479877,2570446,4299325,6851090,9060767,5924365,3704517,3704520,3712987,3704639,2218771,2218769,3704631,5924556,6775388,4246898,2539103,254482379,10303403,14971197,15853773,254756273,4587020,2759641,2759642,3721114,3721115,5950324,8133645,7273581,7273582,10987992,14974183,268062076,2539989,2527864,1456853,824865,824867,1456857,2527875,4227733,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774964,6801454,5583811,5583813,5583785,5583786,254875389,17874475,24252050,256552675,35414630,257334957,35414631,255763735,14611638,14611637,20355651,27290196,35414630,44839693,35414631,255763733,14611638,10054185,10054186,14611639,20355651,257064978,16880642,254812417,5010311,3029531,3029532,5010316,7888885,11810353,16880681,23140887,29797362,29241446,21922293,21922294,29241452,29802668,22436688,22436687,29802663,38374409,48285163,39926933,31251493,23767076,23767075,29496218,24038615,24038616,31541871,40228236,36767397,36767398,31392737,31392735,37195515,37195514,31220466,31220467,39897316,40074258,50095119,59606840,48220116,48220113,49944553,49109422,39179954,39155573,255093538,49109427,49085237,39155439,30557993,23140777,23140776,30557991,23164482,16901928,16901927,23164477,23404905,30833678,31251473,29797396,22430917,22430920,23403529,23403534,30831833,37238514,37238513,37238521,30831875,30831876,30833357,30831652,30831654,23403755,23403756,30831539,23403354,23403355,30831513,25117566,25117564,25117557,25117556,30832349,30832018,30832019,29741774,22382834,22382835,23403857,30832337,30833037,30831930,30831928,39436187,39435662,30831457,30831458,23403621,17130590,12038917,8093567,8093568,12038921,17130598,23403634,30831926,23403587,17130570,12038903,8093561,8093559,12038897,15454523,15454524,21453137,23403466,17130506,12038872,8093551,8093550,12038867,17130494,23403450,30831703,29740997,29740998,37835355,37835354,32821660,30832047,23403664,17130608,17130606,23403659,30832034,39436293,44777728,39437031,39437028,39436626,39436625,39436027,30831764,23403484,17130515,17130516,23403488,30831769,23403594,23403597,30831940,39436198,49365201,39436378,30832116,23403704,17130626,17130625,23403703,30832113,39436373,36431953,27972998,27972996,30832372,39436616,44813660,47759086,37836646,37836645,32856996,32856995,32857010,35106650,39220605,30623272,23404260,23404259,23404295,30832941,29926620,29926621,38487351,37836620,29270474,22165269,16042898,16042897,12039404,12039405,17131446,16931765,11850277,11850275,16931755,23201222,30623265,30832931,39436352,39437453,30833345,30833344,39437449,37836606,30833254,30832897,27263483,23404908,23404912,30833686,30833488,30833490,35220483,29270508,21947940,21947941,29270510,30832168,30832167,30833196,23404503,23404505,23405020,17131431,17131430 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8505817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8505817, s2 = 7850693, int(edited[s2]) = 0 s1 = 8505817, s2 = 7850693, d1 = 25, d2 = 0 Dl.O(d1) = 142549546,262315103,155193186,142549535 Dl.O(d2) = 115241747,101164172,258887318,60800388,257073062,8115672,5199351,3172024,1856838,1856839,3172032,5199375,8115724,12063260,8111266,8111264,12063252,8582987,5577067,3460092,3460093,3784618,254828087,8104650,12054524,17151010,21703782,15662654,10842518,10842519,12053022,9247878,9247883,6533138,6533137,9939988,14448431,256005213 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3730233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6643280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6643280, s2 = 12863966, int(edited[s2]) = 0 s1 = 6643280, s2 = 12863966, d1 = 9, d2 = 12 Dl.O(d1) = 256881034 Dl.O(d2) = 258800361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6643280, s2 = 12863966, dlinesl.size( ) = 2 s1 = 6643280, s2 = 12863966, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6643280, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 8627870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7659948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7659948, s2 = 8384531, int(edited[s2]) = 0 s1 = 7659948, s2 = 8384531, d1 = 17, d2 = 18 Dl.O(d1) = 271384407 Dl.O(d2) = 257113688,53923006,53923005,53923009,53923008,256056096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7659948, s2 = 8384531, dlinesl.size( ) = 20 s1 = 8545404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8545404, s2 = 11131446, int(edited[s2]) = 0 s1 = 8545404, s2 = 11131446, d1 = 59, d2 = 2 Dl.O(d1) = 262270799,166018069,167121950,155488490,142911422 Dl.O(d2) = 49029020,39100057,30504027,23089821,23089820,30504025,23670267,256002145 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3228979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4041573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4041573, s2 = 2432456, int(edited[s2]) = 0 s1 = 4041573, s2 = 2432456, d1 = 119, d2 = 35 Dl.O(d1) = 149904304,262330307 Dl.O(d2) = 67618997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4041573, s2 = 2432456, dlinesl.size( ) = 26 s1 = 6920952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16040821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8453384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8258161, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6967959, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14955961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7084997, s2 = 11146044, int(edited[s2]) = 0 s1 = 7084997, s2 = 11146044, d1 = 16, d2 = 20 Dl.O(d1) = 262337017,129755542,115856362,101810174 Dl.O(d2) = 74231808,61452631,258877353,101810172,87836485,74231810,61452632,49974636,39958051,39958050,39958049,31283290,23797222,17464884,12312810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7084997, s2 = 11146044, dlinesl.size( ) = 18 s1 = 11310764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15910732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15910732, s2 = 8669085, int(edited[s2]) = 0 s1 = 15910732, s2 = 8669085, d1 = 12, d2 = 34 Dl.O(d1) = 25567381 Dl.O(d2) = 46458645,57814757,70516110,84051299,97922018,111856279,125672149,125672147,125672146,261614133,163594129,174434789,184087898,174434787,262989744,139010987,151715152,163594127,174434784,184087893,263469631,174434795,163594135,163594136,174434796,184087906,174434795,163594135,151715156,139010990,125672148,125672149,261614135,163594134,163594137,174434797,273517305,199817487,205967096,205967074,199817467,199817468,205967076,205967079,205967078,211051661,215206893,218629563,215206890,215206891,211051667,205967083,205967082,211051665,211051670,211051669,215206899,215226352,215206892,215206893,218629563,264944423,211051672,264156681,199817476,205967089,211051674,264447597,205967094,205967084,199817483,264156683,205967081,211051664,211051654,205967074,199817467,199817468,205967076,205967079,205967078,211051662,215206894,215206889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15910732, s2 = 8669085, dlinesl.size( ) = 28 s1 = 14982059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6823386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15779271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9713110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9713110, s2 = 7029300, int(edited[s2]) = 0 s1 = 9713110, s2 = 7029300, d1 = 30, d2 = 29 Dl.O(d1) = 61575288,257072785,31393128,23898954,255178373,12383271,256020385,40074639,50095480,61575285,258887007,101927176,115971574,129869120,143198246 Dl.O(d2) = 261599729,125454820,111652279,97731541,83872764,70347792,57657765,57657764,57657766,70347793,74520670,88132883,84541275,268419232,58262098,46894970,37015556,28516212,21295071,21295072,22472095,29839727,38412315,48323542,59710971,58262097,46894969,46894968,256999150,256455020,46894967,46894966,58262094,70977957,70977959,255472964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9713110, s2 = 7029300, dlinesl.size( ) = 22 s1 = 3746571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7663048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3965249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4164734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2638803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218754, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14963741, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3968341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3968705, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3461189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3461189, s2 = 13204792, int(edited[s2]) = 0 s1 = 3461189, s2 = 13204792, d1 = 35, d2 = 54 Dl.O(d1) = 114398751,259522607,260137291 Dl.O(d2) = 868354,1530667,254074040,7020537,10635148,8740857,8740856,9917153,14418678,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623319,6405918,9741991,13364336,18767958,18051997,12797530,8700765,5663433,3522330,2095518,1412588,803770,455505,256753,256751,254116689,1412564,2442789,254436528,9134218,9134217,13365396,14416258,9914895,254689728,10627106,7014281,7014282,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,4594363,4594367,3521132,3521128,5661525,8697981,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593149,7283399,255066053,18772143,13368065,9136151,5978578,5978579,9136153,13368068,18753708,18133567,12858423,8744210,8744208,8966256,5853255,3653728,2185238,2185236,2235705,2185254,2185252,3653758,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702257,13355073,13355074,10921496,10921497,15428427,17941794,17941792,21444930,22328860,16182685,13353374,11128175,11128174,13364947,12795726,254224892,18521805,13918350,9553028,9553027,13918349,254332992,254729848,19203166,19203165,14415875,254689563,4082569,2442794,1412568,803760,455502,256752,256751,254116689,1412564,2442789,254436528,12219765,8249928,8249930,6022967,3768026,3768027,6022969,254916295,9123975,11004958,15876060,11005136,7285210,254757549,15876246,14416758,9915940,9915941,268124890,254690807,5979138,5979137,9137007,13369057,18773058,15378584,10627103,10627102,11003728,7284236,4593773,4593775,7284404,5103259,5103263,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,5979021,3738884,3738883,5626866,5626865,3498423,2078953,2078952,3498412,5630108,3541579,2108444,2108441,3541569,5692819,3563750,3563749,5724030,8788139,254498500,15439544,21433508,24469831,18049792,18049793,24469832,254939916,13365126,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853202,8966179,13154490,254664416,29292940,37862210,32489079,24846660,24846659,24506273,18077710,12816368,8714002,5672396,5672395,8714001,12816366,18077075,18077074,18077435,12816086,8713781,5672246,5672248,8713783,9462659,6204590,6204592,3883568,3883569,6204678,9462896,13405592,13405591,15388989,10635146,10635145,15388986,20105892,18077443,12816101,8970528,8970529,12730942,12730941,12815156,12815155,9914530,6515599,4082545,2442781,1412561,803758,455501,254116689,1412564,2442789,4082557,6515617,9553087,13918433,255216528,18753066,15398324,15398326,255212448,18752576,13351731,9123991,5970413,3733695,2235470,2235472,3733703,5970435,9123553,9123551,13004964,8853923,5979253,5979251,9137185,255256267,10963154,7256887,7256886,10963152,11944235,13369385,9137261,5979301,5979300,267935515,6154263,4594261,4594260,7056616,7056617,10682366,15450214,15819263,10962998,10962956,10962957,254917544,7256698,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,4594363,4594367,3521132,3521128,5661525,8697981,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,3850172,2763268,1601836,910809,513820,513819,910805,764587,764588,1338562,2306891,3850331,6153725,7227568,7227569,268216083,9135455,254917471,9914529,6515599,4082545,2442781,1412561,803758,455501,254116689,1412564,2442789,254436528,12219765,8249928,8249930,6022967,3768026,3768027,6022969,9199276,13451831,9199558,9199557,13351688,9123951,9123952,9455303,9455304,13789660,19288484,25407788,18817255,18817254,25332459,23906674,21897927,21897926,15876631,11005569,11005570,15876634,15367935,10618432,10618433,13918433,255216528,13352315,13352316,18753068,25332535,18893027,13463721,13463722,18876579,18876580,25478376,20106296,14416312,14416310,12724266,12724265,17956042,24347945,21969845,15876539,15876540,18052030,18052031,15873783,11002618,9136133,9136130,11002613,15873178,15873177,13104427,11002004,7282995,7282994,11002002,255284411,9393783,9393784,8650890,5626828,254620367,12731056,12703517,12703518,9134310,5977445,5977442,9134301,13365503,254424304,7282005,4592330,4592329,7282001,8966324,8966292,5853292,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702256,10631828,10631831,12816138,12816140,13714414,11000082,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966187,12855613,10646256,10646255,8970358,8970357,13160259,15388990,10635147,10635148,8740857,8740856,9917153,14418678,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623319,6405918,9741991,13364336,18767958,18051997,12797530,8700765,5663433,3522330,2095518,1412588,1412589,2442840,4082547,6515602,5668801,3526359,2098802,1249523,1205159,679926,378747,378590,207922,207923,378519,667770,370423,202800,110606,60713,60709,34351,34347,35486,35480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3461189, s2 = 13204792, dlinesl.size( ) = 38 s1 = 9248556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3969940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3969940, s2 = 3999431, int(edited[s2]) = 0 s1 = 3969940, s2 = 3999431, d1 = 3, d2 = 5 Dl.O(d1) = 143410613 Dl.O(d2) = 158656478,146288155,146288156,260504428,259951475,85147848,258083065,47469545,37562747,29016146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3969940, s2 = 3999431, dlinesl.size( ) = 12 s1 = 7128675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3970891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3970891, s2 = 9580508, int(edited[s2]) = 1 s1 = 14673223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14676025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7650168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7650168, s2 = 8115816, int(edited[s2]) = 0 s1 = 7650168, s2 = 8115816, d1 = 22, d2 = 43 Dl.O(d1) = 270914549 Dl.O(d2) = 6668478,10152435,14762235,20580175,27627307,35920797,45003775,45003777,55966399,56666189,45532397,45532396,56666187,69227853,81464992,67983666,55602409,55602408,67983664,75690905,62743571,51112430,40970317,32190791,24603040,18155119,12874203,8755337,8754201,8754202,12872672,18153176,24600703,24602723,24600591,24600590,32188076,24602819,24602818,32190551,40970076,40970136,40969960,32190563,24852505,22896172,16666106,16666108,20232875,14518743,14518742,20232871,27140534,30294679,22896160,16666100,16665116,16665114,22894942,24366063,24366064,27140523,22896261,16666164,16666165,22896263,30294793,256971394,38879247,30293330,27140495,27140496,35236045,44618107,48802660,48802359,47174827,37268967,37268968,44618114,35236001,27140459,20232825,14518711,9990236,6565930,4113296,4113297,6565935,9990250,14518752,11632356,7749409,4907792,4907791,7749407,11632350,16666118,22896201,30294716,35236076,38880531,38880532,38880460,38880459,38880510,38880511,48802710,48802367,48802368,51112134,48802701,38880504,38880500,37268935,28736896,21479529,21479528,28736894,35236019,35236020,28951931,24852534,24852533,32494487,41341943,40970090,40970091,51112179,44618180,44618169,44618170,38880533,38636486,30062479,30062480,28736904,21479540,15476708,15476707,21479536,28736900,32494528,32494529,41341804,32494340,24852431,24852430,30294683,30294682,27140468,27140469,35236016,36538292,36538293,40970084,40970082,51112175,47685070,38880577,30294764,30294765,32494479,24852527,18356182,13032729,8875214,5786918,3607312,3607313,5786922,8875218,13032735,18356194,24852549,32494510,41341964,44618145,44618146,51564063,48803995,38881959,30296125,22897514,22897513,30296121,32494516,24852552,24852551,268651849,38881985,30296151,30296098,30296097,30296142,24852578,18356213,16666172,11632384,7749426,7749425,11632382,13032716,18356160,24852477,18356157,254899085,5786912,5786911,8875204,13032710,18356144,24852465,32494405,32494414,257741689,51563996,63282398,63282386,63282385,63282406,51564120,51564119,63282426,60200313,51564052,51564053,48803849,38881798,38881799,41341969,268136722,60200479,48804154,48804155,51563971,48803969,38882076,38882075,48804127,60200467,60200402,48804018,38881990,38881991,38880688,38880689,38881058,42456843,48804138,48804137,58159205,46791700,38882117,30296238,30296237,38882116,48804170,60200094,60200093,60199615,60199614,48804116,38882066,38882067,48804065,38882027,30296173,30296174,38882030,42456798,42456797,257166650,52860869,52860870,48804032,48804033,51563917,41341739,38880889,38880890,42456860,48802806,48802821,60199430,64780536,52860934,42456900,33463777,25691422,19067050,19067053,25691426,33463784,38881252,48803318,38881424,30295628,30295070,22896489,22896490,30295073,25691499,19067105,13612192,13612191,19067101,25691492,30295657,22897040,16666788,16666787,22897037,30295649,33463812,33463710,25691376,25691377,33463714,38881525,42456833,52860875,42456981,33463871,25691503,22896916,16666696,16666697,22896919,30295497,31894148,24366029,17970284,17970286,18154928,24602799,32190536,30295078,22896903,16666689,16666690,21984082,268629145,33463830,33463796,25691437,19067059,255680597,33463799,42456914,42456969,51112160,48802958,48802959,52860938,42456918,42456917,48803473,42456957,33463851,25691482,19067090,13612184,9320870,6105718,6105717,9320866,13612199,19067114,25691470,33463839,42456952,48803303,42456899,33463776,25691421,25691420,33463772,38881668,30295881,22897306,16667045,11633013,11633012,11633004,11633005,16667034,19085888,25714011,30295308,30295307,38881119,43067819,34009966,34009965,38880939,30295121,30295122,22896884,16666674,11632717,7749603,7749605,11632719,16666683,22896562,22896561,30295154,30295591,22896987,19067118,19067120,25691514,256662511,25691461,255948095,255121419,11632929,255504243,16664866,255754542,22894876,16665069,11631625,254694694,4907528,7748953,254318078,2957995,2957994,4907499,7748913,11631555,16530511,16665471,11631915,7749685,4908005,2958292,1715312,1715313,2958294,4908011,7749760,11631588,16665011,16667068,11633033,7749812,4908045,2958310,2958308,4908037,7749805,11633028,11631476,11631475,16664833,16664998,16664997,16666431,11632561,11632563,16665591,11632000,7749194,7749195,11632005,16665599,16666146,16666148,22895312,22895313,16665481,11632333,11632258,7749341,4907752,4907751,2958168,1715243,254126649,307089,307087,548632,974574,1715223,2958118,4907630,2958066,2958067,4907636,7749133,7748889,4907510,4907507,7748928,11631587,16665008,22894827,22894849,22895981,16665922,11632211,11631724,7749020,7749021,268095221,16665385,16665384,22895356,22896451,22894976,16665142,11631948,7749157,254801617,11631730,11631731,11631764,254549845,2958035,1715190,974554,548621,548620,974551,1715182,2958015,254801587,16665136,22894967,22894859,16665051,11631614,11631615,11632104,11632106,11632449,16665957,11632227,7749322,4907743,2958128,2958127,4907739,7749312,11632209,16665916,22895757,22896003,30294529,38880368,38880396,38879772,30293892,30293628,22895187,16665274,16665275,22895191,30293495,30293496,38879293,30293384,22894979,22894978,22895285,22895287,30293740,30293846,22895373,22895374,28728396,22895241,21471143,15468874,10696067,10696065,15468867,21471134,28728389,268620403,28980372,37524114,38879269,38879266,38879603,34117541,34117542,43204684,53716991,257405180,86536664,86536665,85666082,259364587,77450605,77450606,91375053,91375054,91375115,90683666,76815278,76815277,87850726,74245954,61467288,61467287,74245952,87850721,101170608,87173335,85504980,85504982,88550665,88550664,77450572,77450574,77450739,77450740,91375123,91375017,91375018,87173313,73555621,60809268,60809269,73555626,71919664,64294866,52434076,42085857,33134355,25396613,18808959,13399507,9160804,9160803,13399506,18808957,25396608,256639185,52434047,52433984,52433985,64294779,77450585,86535952,100494647,99615047,85666072,258817980,52433962,42085782,42085783,49989801,49409052,39479651,39479649,49409047,42085832,42085833,49989795,39973759,31299394,23813327,17479218,17479219,23813329,31299398,39973769,34983615,26903467,26903469,34983622,29897912,29897913,30296299,38882183,48804231,49409206,39479786,39479780,39479781,49409201,60809451,60809459,49409219,49409218,60809466,73555683,64294829,64294830,73555691,71919643,59181425,49409134,49409133,52434055,49409157,39479741,30874974,23445305,23445304,30874908,23445268,23445267,30874905,39479630,49409014,49409304,39479867,30875056,30875054,39479862,49409294,47954272,38040700,29477642,29477643,38040705,44361398,44361397,48356556,59740032,49989718,49409212,39479790,30875003,23445321,17170352,17170353,23445322,30875005,39479716,30874961,23445297,23445296,30874959,39479711,39479810,39479811,39479611,39479609,49408989,60809237,49409029,39479640,30874929,23445279,17170331,12072899,8118396,8118398,12072905,17170337,23445286,30874940,30874890,30874888,39479597,49408984,49408908,39479531,30874848,23445239,17170309,17170308,23445237,30874845,39479526,49408901,48803538,48803539,49408919,39479536,30874853,23445241,23445242,30874858,255984552,60809187,60809273,52048678,41734111,39479660,39479661,49409067,49409235,49408891,39479512,39479513,41733612,32813610,31299455,31299454,39973852,47958218,49409085,39799201,39799202,41733530,32813016,25110244,18560722,13189229,13189228,18560718,18560801,13189271,8991100,5870195,5870196,8991104,5870206,5870204,8991119,13189308,18560866,25110423,31806937,24292173,17910347,12688825,12688824,17910346,24292170,18560778,18560779,25110162,18560675,254907147,8991065,13189203,18560671,25110153,32812916,41733433,43835060,43835061,41733496,32812980,28826681,21555824,21555825,28826686,37366945,35370874,27246619,26118774,26118775,33955881,43012786,52452310,256807854,46338631,47276881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7650168, s2 = 8115816, dlinesl.size( ) = 14 s1 = 11340336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3973693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3973693, s2 = 2310283, int(edited[s2]) = 0 s1 = 3973693, s2 = 2310283, d1 = 17, d2 = 0 Dl.O(d1) = 143572372,130244623,130244624,143572375 Dl.O(d2) = 61898532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3973693, s2 = 2310283, dlinesl.size( ) = 2 s1 = 3973693, s2 = 2310283, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3973693, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 3757971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6925365, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3519109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3519109, s2 = 15005234, int(edited[s2]) = 0 s1 = 3519109, s2 = 15005234, d1 = 20, d2 = 23 Dl.O(d1) = 143674488,130350260,116514019,116514020,130350261 Dl.O(d2) = 208106773,212861296,216749282,219971346,222690366,225024987,265508822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3519109, s2 = 15005234, dlinesl.size( ) = 12 s1 = 7024712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15514750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16190329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16190329, s2 = 6750416, int(edited[s2]) = 0 s1 = 16190329, s2 = 6750416, d1 = 35, d2 = 40 Dl.O(d1) = 153237441,140556124,257483790,85407107,71818484,59077196,47676971,37754706,37754707,29193565,21881658,21881659,23485207,17201523,12096352,12096353,17201524,23485208,21881754,15805906,15805907,21881755,21881393,15805617,10952338,10952339,15805619,21881399,25622096,19007660,13565743,13565744,19007665,19813450,14192257,9756153,6414885,4024530,2411745,2411744,4024525,6414864,9756106,14192162,11862422,11862421,8835484,8835485,12979646,18286853,24763977,24764002,18286870,18286869,24764001,19805454,14186507,9752357,6412307,6412306,9752350,255313785,19805662,19805664,26614131,26614216,19805717,19805500,19805498,25078158,18535005,18535004,25078155,26623955,28415080,28415079,36912766,30169126,255121024,48673869,60070126,60070127,72807735,84627126,258104800,46977552,37094209,28587934,21356995,18182236,18182237,24637962,32235657,41028034,46945390,37066291,28564597 Dl.O(d2) = 26227449,19512266,13966809,9590167,6295630,3943518,2360735,1366853,778534,441760,249018,137532,137535,249037,441964,771652,438370,438368,441964,771733,438399,438396,441911,778952,1367733,2362060,3945325,2396416,2396418,3998616,5204534,5204531,3995861,2394605,1385753,788138,446436,446435,788135,1385742,2394579,2327443,1348996,1348993,2327433,1367064,1367066,2361131,3944122,3983890,6349465,6386033,6230367,6230365,6163477,6163474,3881335,3658890,2188977,1270311,725725,725723,412648,412645,725733,1270340,779085,771652,438370,438368,441965,779091,1353202,1353200,2334706,3898421,6226922,9494380,13841409,19352943,25890009,19512560,19225958,254941037,254938845,9380363,254668395,254668393,6166449,6166450,9411908,9398656,9398655,268152353,255691305,19208706,19209378,19209377,25867161,19226918,13735026,9409591,9409590,13735022,19226913,25886925,33693723,42723955,47658093,255618176,29175676,37277158,256585444,47657959,59058277,47657943,37736259,37736258,257482865,71798995,85387274,71799155,59059340,59059341,71799180,70833680,58119092,58119091,59058379,59058380,71766194,59058235,47657904,47657903,59058232,71798951,85387246,71799149,59058477,47659008,37737067,29176148,29176147,37737063,47659003,47657993,47657992,47658121,47658122,59058435,71799121,71799107,59058421,59058420,62212364,71799070,59058367,47658024,37736316,29175633,21865320,21865319,29175631,37736312,47658018,59058360,59058353,47658005,47658006,42156163,42156162,48677680,48677679,42156167,42156168,52514181,64387844,77556020,85387304,270311053,71799156,85387395,99331104,85388228,72811092,71799032,60073760,60073761,72811065,85387403,71799162,59058487,258093043,85387405,71799197,59058534,59058535,71799199,85387430,99331119,99331042,85387287,71799015,61321081,61321082,74103878,74103872,61321076,49838138,49838139,269867565,87709795,87721097,86406245,72811102,72811103,72811114,60073806,60073805,72811112,60567323,49168088,49168089,39757864,39757865,48372429,38470839,38470838,30646291,23224113,17284543,17284544,23596750,31080171,39757870,49776564,49776567,49776550,39757855,39757839,31080169,23596749,17284542,12163825,8195087,5265144,5265145,8195088,12163827,17284545,23224111,16950854,11863490,11863491,16950856,21634818,255846324,255846322,58742984,71472555,71394201,58659328,47267690,47267691,58659329,257169406,60125982,49850293,39826685,39826686,42072783,52416571,64272156,57984204,57984205,47396378,37488010,37488009,47396374,48731745,53623555,53623556,47267738,37357739,28818042,28818038,258068717,84968825,98894446,112882254,261667789,262667675,158587969,169953407,180128371,189078521,264038825,264341565,213571940,217305842,220415868,223057703,225336195,227315403,229044584,266048543,233156880,234265803,235274013,235019363,266222430,265987844,230180422,265552600,222364994,264743872,264485770,263878694,194762417,186642381,273113592,166760073,155061451,142416280,129042225,115114830,258715890,258092194,60680101,49279263,39352600,30752277,23330012,17063398,12838913,8730767,5683991,3535774,2104545,2104546,3535777,254513922,12838933,18106410,24540211,32117827,40891713,50404064,50404065,40368671,40368670,47643911,37721837,29162004,21853509,15782392,15782393,21853512,29162012,37721849,47643921,59045559,59047036,47645494,37723472,29163547,255058558,47645491,47645401,37723388,29163457,29163458,255058526,59046942,47646086,37724149,29164239,29164240,31543855,24040534,17688653,17688652,24040533,31543853,29164609,21855894,15784288,10934839,10934838,15784286,21855890,29163569,21854885,15783489,10934262,7234650,7234652,10934265,15783365,15783366,21852887,21852888,17144941,15783838,15783839,21855365,16027435,16027436,22146346,29484626,29470928,29470929,37724018,47645965,40094354,31414579,23924945,23924944,31414573,40094348,35351690,27281273,20345743,20345744,27281267,35406973,44832423,55740320,68138342,58048371,255844800,47278487,37368760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16190329, s2 = 6750416, dlinesl.size( ) = 2 s1 = 16190329, s2 = 6750416, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16190329, Dl.E( ) = 46, 2.1e-05 seconds used appending s1 = 14136291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8467703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7635046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14858278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14695589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6927655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6927655, s2 = 7649204, int(edited[s2]) = 0 s1 = 6927655, s2 = 7649204, d1 = 27, d2 = 45 Dl.O(d1) = 260194681 Dl.O(d2) = 270895279,17300753,17300764,23613841,256502497,49795064,61274041,74054065,264195053,140282594,126934848,271314815,256988820,85172448,85172447,85172449,85172448,71607673,255501510,254799262,15705641,15705642,10872499,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,12031527,17120895,17120911,23392694,19661111,19661110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6927655, s2 = 7649204, dlinesl.size( ) = 26 s1 = 7023974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8262364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8262364, s2 = 8796399, int(edited[s2]) = 0 s1 = 8262364, s2 = 8796399, d1 = 99, d2 = 93 Dl.O(d1) = 118024701,131850725,145109043,157542960,156308146,143783111,143783112,156308148 Dl.O(d2) = 264601519,202970729,202970730,202970725,202970724,264847597,265302739,217066587,217066573,217066572,265272651,217066581,264601523,208622175,213266562,217066583,220223094,222896021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8262364, s2 = 8796399, dlinesl.size( ) = 2 s1 = 8262364, s2 = 8796399, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8262364, Dl.E( ) = 118, 6.51e-05 seconds used appending s1 = 10356706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10356706, s2 = 12955659, int(edited[s2]) = 0 s1 = 10356706, s2 = 12955659, d1 = 14, d2 = 10 Dl.O(d1) = 208284623,203153658,196467562,196467561,203153657,202562485,195753934,187801982,178680901,178680900,263662549,202562481,208284622,208759264,203153663,261892372,213004436,216863054,217140447,217140446,220279599,220061817,220061816,263282438,213366811,213004439,208284627,262861272,263662546,208284636,213004447,213366810 Dl.O(d2) = 254196404,267757556,8894212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10356706, s2 = 12955659, dlinesl.size( ) = 2 s1 = 10356706, s2 = 12955659, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 10356706, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 7027576, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3995509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3995509, s2 = 15544907, int(edited[s2]) = 0 s1 = 3995509, s2 = 15544907, d1 = 37, d2 = 60 Dl.O(d1) = 145887556 Dl.O(d2) = 49910288,49910289,61390484,74170946,87775364,101748198,259350306,143019737,155567926,261695068,177694132,186972577,195056207,263526148,212588112,212588114,207791307,207791308,212588112,212588114,212588113,216508739,219760461,219760460,219760459,222505481,224862079,226907194,228689202,230257843,231651883,265857680,230257837,265381326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3995509, s2 = 15544907, dlinesl.size( ) = 2 s1 = 3995509, s2 = 15544907, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3995509, Dl.E( ) = 62, 3.1e-05 seconds used appending s1 = 10335919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16208260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6930529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11730568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316021, s2 = 7289769, int(edited[s2]) = 0 s1 = 15316021, s2 = 7289769, d1 = 69, d2 = 70 Dl.O(d1) = 159173659,170020115,158662190,146294314,133067146,119237421,105045133,90866327,76987993,76987992 Dl.O(d2) = 196871618,264344011,213603156,274418816,265419295,265025961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316021, s2 = 7289769, dlinesl.size( ) = 50 s1 = 3785635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3785635, s2 = 10367152, int(edited[s2]) = 0 s1 = 3785635, s2 = 10367152, d1 = 15, d2 = 25 Dl.O(d1) = 133088489 Dl.O(d2) = 51302811,62981301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3785635, s2 = 10367152, dlinesl.size( ) = 2 s1 = 3785635, s2 = 10367152, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3785635, Dl.E( ) = 34, 8.11e-06 seconds used appending s1 = 3785638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14885540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14885540, s2 = 14164885, int(edited[s2]) = 0 s1 = 14885540, s2 = 14164885, d1 = 12, d2 = 10 Dl.O(d1) = 270274934,257395574,70560104,70560103,84096403,258006282,97970032,97970028,84096426,70560119,57858486,46502308,36635190,28160515,28160514,36635188,46502304,57858481,70560111,84096412,97970015,111907328,258006296,84096449,84096451,97970052,97970035,97970034,97876861,97876862,97970009,97970010,111907317,111907364,111907353,97970032,84096429,84096428,97970031,111907350,125724779,139063447,139063426,139063425,259875910,260477594,139063444,125724777,111907349,111907347,125724774,111907356,97970033,84096431,70560121,57858487,57858485 Dl.O(d2) = 46502311,57858489,46502314,36635194,28160517,20980924,15068845,10392164,6849372,6605712,4137850,4137851,6605714,8135033,12096252,9005894,9005895,9005896,9005892,5878911,3670251,2196851,2196850,3670250,5878908,9005889,13211704,18591718,25148055,32854991,41775777,52089578,52089582,41775781,32854994,32854995,41775782,52089584,63908825,77020456,90900162,90900161,105080012,119272901,133102590,146329581,146329582,146219055,132986131,119151367,258021538,258436908,86672892,84282796,70730759,58015436,48928011,39004197,30414941,30414940,39004194,256831770,40391766,40391765,36755639,36755638,46641457,269110923,33863561,26041668,19363120,13850137,13850138,19363123,256021550,25562600,33323935,42304565,256972922,32163070,40941926,268955462,74037566,61257624,49778868,39760107,31082235,31082236,39760109,49778871,61257629,74037569,87641030,101607834,115648181,101607835,101607836,115648183,129533282,116051433,102001186,88022242,74414771,61635018,50152744,40131188,40131189,50152745,61635020,74414773,88022243,88022244,102001188,92561240,78514738,65225450,53236752,42785333,33754413,33754414,29804657,22438558,16271021,11313879,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283683,12266578,17405982,23729987,24568766,24568767,23730576,23730575,23900251,17555391,12384784,12384783,254651911,2261726,2261728,3775161,6034543,9216334,13474808,18906405,25516310,33276715,42256382,52641857,50495372,40459460,257100985,31765004,31765005,37539902,42253829,257204795,64538229,259038451,105854917,120067135,133910208,261978673,260876453,120067136,273018000,262936425,263723519,262936423,170828072,180951290,189833932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14885540, s2 = 14164885, dlinesl.size( ) = 2 s1 = 14885540, s2 = 14164885, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14885540, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 4002487, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4002700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3789679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3789679, s2 = 8724820, int(edited[s2]) = 0 s1 = 3789679, s2 = 8724820, d1 = 3, d2 = 126 Dl.O(d1) = 133521096 Dl.O(d2) = 195433378,199352584,199352616,199352617,264427229,199352619,191990442,263102678,263034901,173641589,162615849,150491909,137456849,123729164,109537560,95282921,95282922,109537563,123729162,109537559,95282920,81225434,81225433,259795763,123729153,137456821,137456822,150491876,162615798,173641535,262660740,150491878,150491898,150491899,162615784,150491864,272183280,109537545,109537546,123729136,137456815,262583857,183431991,264182622,150491896,150491895,162615828,263034895,183432005,183432006,191990431,191990409,183431981,173641516,173641517,162615781,150491862,150491861,150491866,150491867,150491872,150491873,162615795,173641534,263034897,173641565,173641570,162615836,262178126,150491897,162615825,261659440,261108284,109537566,95282923,95282922,109537563,123729162,109537559,95282920,95282919,109537557,123729157,262092159,173641569,183432009,191990418,199352596,263501110,173641555,162615809,162615808,173641551,263289490,187405373,178179298,261362484,143583028,130254333,130254332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3789679, s2 = 8724820, dlinesl.size( ) = 90 s1 = 15562963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8587140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15627867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3556390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16308506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7247808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7247808, s2 = 16101728, int(edited[s2]) = 0 s1 = 7247808, s2 = 16101728, d1 = 8, d2 = 19 Dl.O(d1) = 264521786,159268670,159268669,170603983,159268672,146897673,133644372,261431539,159268675,146897675,146897674,159268676,273557070,262745054,146897667,272697963,146897662 Dl.O(d2) = 91323885,91323884,77405364,260863413,105541506,91323890,91323891,105541507,260863415,261967511,159268681,159268682,159268680,159268679,170603970,180733219,264053383,274041767,265409254,178164556,167708449,262834731,262364463,143569945,130242220,116405582,116405581,130242219,143569943,262364461,178164552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7247808, s2 = 16101728, dlinesl.size( ) = 2 s1 = 7247808, s2 = 16101728, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7247808, Dl.E( ) = 20, 9.78e-06 seconds used appending s1 = 6805132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3796550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14239305, s2 = 6682532, int(edited[s2]) = 0 s1 = 14239305, s2 = 6682532, d1 = 19, d2 = 8 Dl.O(d1) = 19810689,25294770,25294769,25116079,25116080,18575374,18575373,18720537,17699746,12519307,8481689,5482672,3373832,3373833,5482677,8481694,12519316,15385019,13438342,9187605,9187606,13438345,18861352,254871324,268746385 Dl.O(d2) = 257289202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14239305, s2 = 6682532, dlinesl.size( ) = 20 s1 = 14684757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3798969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14578380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14578380, s2 = 6978305, int(edited[s2]) = 0 s1 = 14578380, s2 = 6978305, d1 = 1, d2 = 1 Dl.O(d1) = 42167578,52525783,64399305,52525782,42167577,33207544,25459861,25459860,256644735,256888062,70929437,59303969,47909295,47909297,38001854,29438846,22105658,15994594,15994595,22105666,28854281,21581801,15558005,10761271,10761273,15558012,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994298,22105251,29438333,35368458,44793138,55700734,257549304,58696214,49799215,39779571,39779569,49799212,61277847,59310851,47917012,38001146,29778416,22413665,16249216,11296976,11296977,16249218,22413671,29778428,29778404,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,39780574,49799900,57749969,49336626,256478602,52526206,257603715,49256885,39779707,39407291,30802681,23375007,17105580,255533491,30802667,39407276,39407243,257384006,256805832,37348311,31101339,23617145,23617144,256502765,49799484,268694015,31871078,30802548,23374912,17105530,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,18856389,25455219,18856399,13437402,13437401,255664913,256644733,42167576,52525778,64399302,77567562,91498685,105723145,260872037,133860082,260874568,258408574,64441576,52566346,42205854,256837508,9205414,9205415,12254367,8276096,5339979,3282264,1930458,1930457,3282257,5339962,8276057,11968393,17060295,17573299,17573301,23915720,18962782,13527143,13527144,18962785,21255158,15802890,10950010,254727410,18953718,13517057,12248751,12248753,16896277,23157615,17537856,12369710,8373441,5404069,3322472,1954193,1116389,1116390,1954197,1954717,1954716,3323416,5405889,8376464,12394926,255392152,31402094,38044021,31217066,31217067,39894310,37019202,30691253,29791505,22425904,255093177,11304448,10489894,10489893,15207354,11304680,11304664,254775513,2845884,1651112,939025,939026,1651115,2845889,4723402,7474000,7505353,7505354,7505191,7505190,11304441,11304709,11304710,11304339,7505124,4744039,2859064,2859062,4744037,7505119,267884899,2702699,1566094,1566093,2611740,4358980,6936760,7505302,11304642,16259662,11304580,11304579,11258537,11258538,16196247,11304660,7505319,4744164,4744165,4826679,2908648,1687401,959640,959639,1687397,2859162,4744184,4744246,7473984,7473983,4744131,2859128,1659369,944189,944190,1659372,2859136,4744146,7505296,4744161,2859143,2859144,4744162,7505316,11304630,7505297,7505298,8305420,8305419,11304644,7505304,267976461,11469099,11469098,16460417,22651973,29792162,29792171,22426421,22426420,268638883,38364059,38364058,38365074,29792406,29792408,29791916,22426192,22426161,16259656,11304575,7505267,7505266,7505289,7505290,11304617,16259713,22426224,29791946,38364547,256951221,29791941,22426216,16259703,11304612,7505287,7505288,11304615,16259706,11469097,11469096,16460415,16259725,11304627,7505294,7505293,11304622,16259722,22426238,29791922,38363677,29791197,29791196,29791973,22426247,22426248,29791168,22425631,16259273,16259275,22425634,16259464,255472077,29791455,38364006,256951223,38364543,269343985,48511722,256348292,255421456,16460413,22651971,29791960,38364559,48275918,38364552,29791955,29791956,38364054,47478306,38364048,29791492,29791493,38364053,48275452,48275895,48275425,38364568,38364567,37535079,37535080,38364016,48275422,256408933,22425885,22425884,29791480,38364033,270301838,48275945,59663684,48275911,48275910,59663681,72399464,72399237,63251877,51535254,41314479,32469173,32469174,41314481,48275907,256890044,48275920,268927326,38364561,48275925,59663693,48276243,48276244,59664060,59662865,48276248,48276249,48511720,38597230,30024837,255855256,24829772,18336522,13016481,8862451,5776926,254898393,8862460,5776931,5776932,8862463,13016493,18336524,24829776,32469179,24829784,24829785,32469184,29791819,255472103,11304549,11304548,16259622,22426009,22863980,255231787,255231785,24829769,32469169,29792275,29792274,22651962,16460407,16460408,22651964,30024828,38363653,48275012,59662868,48275404,256599957,32469177,268406026,22426156,22426157,22426226,16259715,16259716,22426228,29791654,22426013,16259549,11304501,7505228,7505227,11304304,11304303,7505184,4744077,4744076,7505177,11304420,16259462,22425870,29791452,29791952,29791951,29791444,29791445,22426441,22426442,22426145,16259641,15624463,15624464,16460409,16460410,16460412,22651969,30024836,29791711,22426061,16259587,11304524,11304523,16259585,255911901,255911932,16259284,11304546,7505256,4744126,4744125,7505254 Dl.O(d2) = 42167578,52525783,64399305,52525782,42167577,33207544,25459861,25459860,256644735,256888062,70929437,59303969,47909295,47909297,38001854,29438846,22105658,15994594,15994595,22105666,28854281,21581801,15558005,10761271,10761273,15558012,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994298,22105251,29438333,35368458,44793138,55700734,257549304,58696214,49799215,39779571,39779569,49799212,61277847,59310851,47917012,38001146,29778416,22413665,16249216,11296976,11296977,16249218,22413671,29778428,29778404,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,39780574,49799900,57749969,49336626,256478602,52526206,257603715,49256885,39779707,39407291,30802681,23375007,17105580,255533491,30802667,39407276,39407243,257384006,256805832,37348311,31101339,23617145,23617144,256502765,49799484,268694015,31871078,30802548,23374912,17105530,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,18856389,25455219,18856399,13437402,13437401,255664913,256644733,42167576,52525778,64399302,77567562,91498685,105723145,260872037,133860082,260874568,258408574,64441576,52566346,42205854,256837508,9205414,9205415,12254367,8276096,5339979,3282264,1930458,1930457,3282257,5339962,8276057,11968393,17060295,17573299,17573301,23915720,18962782,13527143,13527144,18962785,21255158,15802890,10950010,254727410,18953718,13517057,12248751,12248753,16896277,23157615,17537856,12369710,8373441,5404069,3322472,1954193,1116389,1116390,1954197,1954717,1954716,3323416,5405889,8376464,12394926,255392152,31402094,38044021,31217066,31217067,39894310,37019202,30691253,29791505,22425904,255093177,11304448,10489894,10489893,15207354,11304680,11304664,254775513,2845884,1651112,939025,939026,1651115,2845889,4723402,7474000,7505353,7505354,7505191,7505190,11304441,11304709,11304710,11304339,7505124,4744039,2859064,2859062,4744037,7505119,267884899,2702699,1566094,1566093,2611740,4358980,6936760,7505302,11304642,16259662,11304580,11304579,11258537,11258538,16196247,11304660,7505319,4744164,4744165,4826679,2908648,1687401,959640,959639,1687397,2859162,4744184,4744246,7473984,7473983,4744131,2859128,1659369,944189,944190,1659372,2859136,4744146,7505296,4744161,2859143,2859144,4744162,7505316,11304630,7505297,7505298,8305420,8305419,11304644,7505304,267976461,11469099,11469098,16460417,22651973,29792162,29792171,22426421,22426420,268638883,38364059,38364058,38365074,29792406,29792408,29791916,22426192,22426161,16259656,11304575,7505267,7505266,7505289,7505290,11304617,16259713,22426224,29791946,38364547,256951221,29791941,22426216,16259703,11304612,7505287,7505288,11304615,16259706,11469097,11469096,16460415,16259725,11304627,7505294,7505293,11304622,16259722,22426238,29791922,38363677,29791197,29791196,29791973,22426247,22426248,29791168,22425631,16259273,16259275,22425634,16259464,255472077,29791455,38364006,256951223,38364543,269343985,48511722,256348292,255421456,16460413,22651971,29791960,38364559,48275918,38364552,29791955,29791956,38364054,47478306,38364048,29791492,29791493,38364053,48275452,48275895,48275425,38364568,38364567,37535079,37535080,38364016,48275422,256408933,22425885,22425884,29791480,38364033,270301838,48275945,59663684,48275911,48275910,59663681,72399464,72399237,63251877,51535254,41314479,32469173,32469174,41314481,48275907,256890044,48275920,268927326,38364561,48275925,59663693,48276243,48276244,59664060,59662865,48276248,48276249,48511720,38597230,30024837,255855256,24829772,18336522,13016481,8862451,5776926,254898393,8862460,5776931,5776932,8862463,13016493,18336524,24829776,32469179,24829784,24829785,32469184,29791819,255472103,11304549,11304548,16259622,22426009,22863980,255231787,255231785,24829769,32469169,29792275,29792274,22651962,16460407,16460408,22651964,30024828,38363653,48275012,59662868,48275404,256599957,32469177,268406026,22426156,22426157,22426226,16259715,16259716,22426228,29791654,22426013,16259549,11304501,7505228,7505227,11304304,11304303,7505184,4744077,4744076,7505177,11304420,16259462,22425870,29791452,29791952,29791951,29791444,29791445,22426441,22426442,22426145,16259641,15624463,15624464,16460409,16460410,16460412,22651969,30024836,29791711,22426061,16259587,11304524,11304523,16259585,255911901,255911932,16259284,11304546,7505256,4744126,4744125,7505254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14578380, s2 = 6978305, dlinesl.size( ) = 2 s1 = 14578380, s2 = 6978305, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14578380, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 9238561, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6934008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6934008, s2 = 13811992, int(edited[s2]) = 0 s1 = 6934008, s2 = 13811992, d1 = 9, d2 = 9 Dl.O(d1) = 260283149,133937842,147160480,159520118,170849333,180969978,189849533,197506300,204025687,209464983,213928314,217592570,220650824,217592542,217592540,265296501,223252358,265325872,223252366,221142111,221142112,221142113,220650833,217592557,213928304,209464972,209464973,264876705,220650836,223252366,221142111,265127588,210466449,210466448,264876705 Dl.O(d2) = 260283149,133937842,147160480,159520118,170849333,180969978,189849533,197506300,204025687,209464983,213928314,217592570,220650824,217592542,217592540,265296501,223252358,265325872,223252366,221142111,221142112,221142113,220650833,217592557,213928304,209464972,209464973,264876705,220650836,223252366,221142111,265127588,210466449,210466448,264876705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6934008, s2 = 13811992, dlinesl.size( ) = 2 s1 = 6934008, s2 = 13811992, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6934008, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 3802005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3802005, s2 = 13297370, int(edited[s2]) = 0 s1 = 3802005, s2 = 13297370, d1 = 1, d2 = 2 Dl.O(d1) = 133963427 Dl.O(d2) = 255157966,20126095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3802005, s2 = 13297370, dlinesl.size( ) = 2 s1 = 3802005, s2 = 13297370, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3802005, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 4015824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14191355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191355, s2 = 11458866, int(edited[s2]) = 0 s1 = 14191355, s2 = 11458866, d1 = 2, d2 = 82 Dl.O(d1) = 60139261 Dl.O(d2) = 264852910,264028554,263311588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191355, s2 = 11458866, dlinesl.size( ) = 30 s1 = 14099104, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8327033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8327033, s2 = 11563236, int(edited[s2]) = 0 s1 = 8327033, s2 = 11563236, d1 = 17, d2 = 5 Dl.O(d1) = 19006476,13564890,256141423,42375279,52774259,258421403,91800418,105995032,120195717,261452315,260885627,120195715,134029184,261452313,259675175,77878109,259048469,260290569,134029190,261987059,120195718,105995031,260290566,134029196,260885628,262484781,260885627,120195715,134029184,261452313,120195716,134029191,134029189,271551235,91800413,258421401,52774257,42375278,42375279,52774259,258421403,91800418,105995032,120195717,261452317,120195714 Dl.O(d2) = 265299951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8327033, s2 = 11563236, dlinesl.size( ) = 2 s1 = 8327033, s2 = 11563236, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8327033, Dl.E( ) = 20, 4.98e-05 seconds used appending s1 = 6793993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3805526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3805526, s2 = 4574831, int(edited[s2]) = 0 s1 = 3805526, s2 = 4574831, d1 = 15, d2 = 16 Dl.O(d1) = 134090765,147306316,159657413,170974879,181082178,189947751,197592322,204101832,209533066,213989222,217647559,264709988 Dl.O(d2) = 215000551,264449032,215000556,264638299,204101831,204101832,209533065,213989220,215000549,210798033,210798034,215000551,218456904,220700847,217647560,217647559,264709988,218456907,220700848,220700847,217647555,217647556,213989219,213989220,215000549,210798033,210798034,215000551,218456905,215000552,215000553,218456903,218456901,218456900,218456902,215000554,210798036,205652630,199432938,192082207,183540345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3805526, s2 = 4574831, dlinesl.size( ) = 2 s1 = 3805526, s2 = 4574831, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3805526, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 3808890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3808890, s2 = 11346061, int(edited[s2]) = 0 s1 = 3808890, s2 = 11346061, d1 = 0, d2 = 0 Dl.O(d1) = 53010330,64985116,78258231,92284843,106582605,120830267,120830266,134626863,134626864,272719777 Dl.O(d2) = 53010330,64985116,78258231,92284843,106582605,120830267,120830266,134626863,134626864,272719777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3808890, s2 = 11346061, dlinesl.size( ) = 2 s1 = 3808890, s2 = 11346061, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3808890, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16188689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16188689, s2 = 15112110, int(edited[s2]) = 0 s1 = 16188689, s2 = 15112110, d1 = 45, d2 = 41 Dl.O(d1) = 85594433,72007502,59271709,47876233,37958252,29393662,22063265,15958746,11075799,11075801,10817465,10817463,7344462,7344459,11076185,7344501,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,1619937,921292,921290,1619925,2792607,4636058,4223825,4223826,6740655,10257814,7338878,4635668,4635669,4640765,2795155,1621276,1621274,1621283,1621284,2258516,2258519,2791285,1619265,1619264,2791280,4633629,2791336,1619291,920991,723691,723688,1267838,2185690,3654374,4823153,7623136,7334762,4633289,4633291,7334755,11059604,255434716,11079840,15950442,11073075,7342252,4637582,4637581,4641231,4641232,7348324,7346068,4639825,2794621,2794620,4639823,7346066,11078625,9755033,6414016,6414017,7336707,4634379,2791697,1619487,921093,921092,1619483,2791693,2824658,2824657,4687733,4635409,4632868,4632866,7333983,11060752,11066396,7337650,7337651,11066398,11066360,7337627,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,4626251,2786312,2786314,4626262,4633873,2791432,1619339,921018,519317,519315,921012,1619322,2791396,4633817,7332417,7332418,11058091,15935887,15964911,15943290,11077394,7345552,4639512,4639514,7345566,11077912,12827553,12827576,12827573,15965007,11080820,11080818,15939462,11789270,7872290,7872291,7332583,4632137,4632139,7332616,7339313,4635903,4635906,4635932,4635936,7339396,11068828,15950033,15965049,15927175,15927179,18925574,18925572,25537374,25540199,25540201,22045658,18928719,18928718,25541290,25540989,18928428,255194650,22013810,18928839,13494255,13494254,18928834,25541427,26704814,19883611,14246675,14246674,19883609,20223435,15610506,15610505,255340864,29375023,22044243,15941344,11061940,11061939,255445485,29375018,26226852,19511818,13966492,9589872,6295309,3943224,2360536,2360533,3943211,6295282,6553535,9971608,14492545,255313460,256198528,44564577,44451290,257309633,67633936,81099675,95157570,109413027,272263636,137339905,150382045,162513799,173547984,183344939,191909916,199278198,205512840,210670515,214884028,218351175,265104416 Dl.O(d2) = 38534931,48443433,59829708,72565174,86163389,100129263,261197515,154094651,165863668,176518983,185948812,185948813,194169861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16188689, s2 = 15112110, dlinesl.size( ) = 2 s1 = 16188689, s2 = 15112110, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16188689, Dl.E( ) = 46, 3.5e-05 seconds used appending s1 = 6935985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4025135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4025135, s2 = 5954348, int(edited[s2]) = 0 s1 = 4025135, s2 = 5954348, d1 = 11, d2 = 65 Dl.O(d1) = 147968991 Dl.O(d2) = 266866322,238994079,238350726,266609700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4025135, s2 = 5954348, dlinesl.size( ) = 8 s1 = 16018961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16018961, s2 = 9194479, int(edited[s2]) = 0 s1 = 16018961, s2 = 9194479, d1 = 18, d2 = 24 Dl.O(d1) = 39428516,39428523,30824243,23396305,17124350,17124351,12980813,254386562,3585824,254431773,8836348,12980820,18288413,22596852,22596853,16658804,11626261,254549489,2955903,2955901,4904159,7744385,11626260,12736312,8654814,8654815,7686015,7371529,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967531,1701167,967080,967078,1701158,2931420,4864833,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901050,4813828,7367893,4654572,4654573,7367895,7601177,11432970,255120695,11623666,11623665,11427855,11427859,7616777,7616778,7738183,4904174,2955912,2955911,4871258,4871257,7696899,4871320,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,1321622,1321619,2278885,3804396,4818171,2903574,2903573,4818164,7615289,10348939,15021295,11615400,7734763,4896987,2951261,2951262,4896988,3941593,3941592,6292992 Dl.O(d2) = 33719753,42748971,53197826,65182775,78466795,92506571,260317681,134880867,262009815,171463810,263372775,197853781,273934605,214141992,264044028,190118270,181303700,171267381,160031216,147767705,134637282,120840223,106591907,92293602,257178932,42577650,33560953,25771575,19131544,19131543,254583268,14608715,10052203,10052202,14608711,11013191,7290591,7290593,10788782,10788781,15595702,17195601,17195600,19010672,19010671,19220137,19220135,14536979,14536978,20261043,16183422,16183424,16654299,13586967,13586968,19034679,17975937,17975938,16777007,16777006,14537162,10002067,10002066,14537158,10021027,10021028,14537082,10002020,6572971,4117352,4117353,6572975,10002029,7840223,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339809,10790167,7128879,7128881,10790174,12906553,8779681,8779679,10783313,10783315,7658609,4845760,4845761,7658613,7656387,4844569,4844568,7656382,5922508,5922509,9058483,13273636,9364255,6133891,3837611,2299096,2299095,3837607,6133882,9364239,13674203,13813667,9473353,9473352,13813663,19318614,22365252,16296695,14597183,14597182,13813654,11340256,7535964,4767012,2873569,2873570,2672900,2672898,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836119,4707858,7451162,11229272,16162163,22308996,28896992,23486312,23486311,28139172,36612751,255564854,34179780,26308343,19583471,14029972,254675460,6341627,6260636,6260637,9542517,13904648,19432760,26127440,33965751,26308339,19583466,256144441,19051748,13600475,9312828,6100464,6100465,7477189,8096180,5186829,3164387,3164389,5186856,8096237,9339595,9339596,13638894,10939960,10939959,13654038,9349880,9349878,9346154,6121703,6121704,9346160,9277619,6077084,3831718,3831717,3978439,3978438,6341295,9329327,9329330,13624359,19064910,13610434,13610433,17823183,17827627,17827625,19104508,19037284,19037283,19087628,19102829,13638941,13638942,15915228,11036536,7310878,7310880,10015029,13654733,254660609,6124532,9350405,13589325,13589327,19037416,16715451,16715452,21880693,29192514,26936601,20050676,14365159,9871833,9871834,9366434,6135167,6135165,9366431,13677511,19154423,25620633,19006374,19006373,24192357,25605943,19009185,19009184,17862612,17862613,24237597,24251851,19113593,13646057,13646056,19113590,22663295,22663201,22663202,16468805,16468804,22663480,18581859,16468778,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,13593284,9307696,6582543,6582541,10015229,14555252,14554995,11308411,7507912,7507911,11308406,16264865,18092430,24523674,19041150,13592273,9306987,6096590,6096591,9306990,6125289,6125290,9351494,9351496,13656270,9351466,6125263,6125244,3832430,2296161,2296160,3832424,6125231,9351408,13656174,19126305,23765524,17437586,17437584,12372832,12372830,17541782,18581664,13204890,9001712,9001699,5876722,5876725,4124194,2467296,1426214,1426213,2467291,4124177,6582469,10014980,10015216,14555230,14555588,10015412,10015410,12470227,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568349,19011052,25625791,29080705,33384475,42373509,38613530,36502707,36502708,41760369,256107011,255690060,17866228,17866231,14523353,9993165,9993166,14523356,257324195,268779282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16018961, s2 = 9194479, dlinesl.size( ) = 2 s1 = 16018961, s2 = 9194479, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16018961, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 7044891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14655167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14976941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3821692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6938601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6938601, s2 = 7014710, int(edited[s2]) = 0 s1 = 6938601, s2 = 7014710, d1 = 7, d2 = 19 Dl.O(d1) = 260352519 Dl.O(d2) = 196700466,196700463,188934001,188934000,179969432,169781817,262405386,146027709,158406357,169781808,179969421,188933999,196700460,188934007,179969428,179969427,263695503,203347937,203347938,264319524,196700469,196700470,203347952,274035993,273904512,196700473,203347955,208919453,264319526,188934011,179969431,169781817,262405386,261364436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6938601, s2 = 7014710, dlinesl.size( ) = 2 s1 = 6938601, s2 = 7014710, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6938601, Dl.E( ) = 22, 1.19e-05 seconds used appending s1 = 6939231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14649554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4040652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10242928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10242928, s2 = 2933520, int(edited[s2]) = 0 s1 = 10242928, s2 = 2933520, d1 = 58, d2 = 42 Dl.O(d1) = 260972767,149914904,149914902 Dl.O(d2) = 115631257,101590888,87623797 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3833326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3834068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14940227, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11405686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4045492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4045492, s2 = 10143576, int(edited[s2]) = 0 s1 = 4045492, s2 = 10143576, d1 = 41, d2 = 71 Dl.O(d1) = 150296106,259336128,173474085,261132676 Dl.O(d2) = 10462671,6896744,6896743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4045492, s2 = 10143576, dlinesl.size( ) = 24 s1 = 9538496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9538496, s2 = 11053648, int(edited[s2]) = 0 s1 = 9538496, s2 = 11053648, d1 = 82, d2 = 37 Dl.O(d1) = 7026904,7026905,10643234,15399216,21381746,18978963,18978964,25587833,33348081,42329500,52716647,52716648,64616881,77799391,91727127,105934574,120146607,133987883,147210359,259672070,170896913,162442951,150307074,137266183,261930672 Dl.O(d2) = 255467105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9538496, s2 = 11053648, dlinesl.size( ) = 20 s1 = 14113213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113213, s2 = 7436987, int(edited[s2]) = 0 s1 = 14113213, s2 = 7436987, d1 = 76, d2 = 74 Dl.O(d1) = 272962188,272347320,109398507,95144587,95144586,109398504,123590112,137321358,150362086,262430722 Dl.O(d2) = 266643145,236412717,235513415,235513414,234535370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113213, s2 = 7436987, dlinesl.size( ) = 48 s1 = 3838900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3838900, s2 = 11172176, int(edited[s2]) = 0 s1 = 3838900, s2 = 11172176, d1 = 3, d2 = 18 Dl.O(d1) = 137334021 Dl.O(d2) = 259255916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3838900, s2 = 11172176, dlinesl.size( ) = 20 s1 = 10354549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10354549, s2 = 7709061, int(edited[s2]) = 0 s1 = 10354549, s2 = 7709061, d1 = 19, d2 = 8 Dl.O(d1) = 95165693,260399841,137348779 Dl.O(d2) = 273335036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10354549, s2 = 7709061, dlinesl.size( ) = 12 s1 = 15569848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8584800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8584800, s2 = 13140191, int(edited[s2]) = 0 s1 = 8584800, s2 = 13140191, d1 = 158, d2 = 190 Dl.O(d1) = 261010889,150664722,262591985,162760037,150664729,150664728,261801036,262311448,137668008 Dl.O(d2) = 183126414,191732616,199132413,264415537,264679119,265133569,221204335,223709640,225879611,227772400,265951911,232230044,274685977,237964124,238646231,266835238,237964122,266566218,274685977,237964124,238646231,274825941,241742325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8584800, s2 = 13140191, dlinesl.size( ) = 30 s1 = 16209735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16209735, s2 = 11501524, int(edited[s2]) = 0 s1 = 16209735, s2 = 11501524, d1 = 28, d2 = 33 Dl.O(d1) = 214161824 Dl.O(d2) = 273969916,221476242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16209735, s2 = 11501524, dlinesl.size( ) = 2 s1 = 16209735, s2 = 11501524, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16209735, Dl.E( ) = 48, 2e-05 seconds used appending s1 = 4057912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4057912, s2 = 1461996, int(edited[s2]) = 0 s1 = 4057912, s2 = 1461996, d1 = 7, d2 = 20 Dl.O(d1) = 150773104,137826847,124184044,124184043 Dl.O(d2) = 260982816,110054606,259777814,130458207,116613426,102509198,88500721,88500720,102099813,102099812,116156953,124184042,137826843,137826851,127375175,127375176,140731443,153413568,143395130,259946740,116156950,110054619,95833364,81767396,68242491,55813720,44882789,35442433,255735552,55813717,68242487,81767391,95833353,95833360,257300294,55813720,44882789,35442433,35442434,44882793,55813725,68242499,81767407,95833374,110054636,124184035,137826841,124664965,110673098,110673099,124664969,130065113,124184028,124184027,113505150,99493994,85547224,85547223,99493992,113505145,127375179,261080498,150773099,138171632,137826848,124184045,110054646,95833380,81767409,256734952,44882794,55813724,55813723,68242496,69065658,257353639,45426149,56004932,45925362,45142780,41678592,32762893,25066915,18525935,13162695,8971855,8971852,13162683,18526087,20454145,27417900,27422280,27418932,27418935,20443674,20443415,20443418,14670127,14670126,20443508,27419445,35603660,45108643,47560521,58943250,58943193,58943188,70113067,57453460,46151611,36336750,36336748,46151546,46151548,57453354,70112947,83637348,91738124,77810511,77810513,68466717,56010405,45036944,45036943,56010403,68466710,81991296,68797741,68797742,81991847,68467132,56010668,56010669,56010692,45037097,45037096,56010690,68467187,62869258,51217451,51217448,56156343,51159769,46981845,37098131,37098130,46981837,58351270,68333214,55893146,44944344,35487071,35487023,35487026,44944439,42996296,33941667,33941665,26106931,26106934,20603019,20603015,20740314,20565744,20370755,14620439,14620436,10077885,6619256,6619254,6648244,6679437,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690165,20472154,27459957,27467655,27467657,256780973,56451081,68975302,82497097,81067767,79082539,79082540,70766625,59235977,59235976,64977437,64977436,71973606,59235972,47838813,37917708,29349133,29349134,37917710,47838816,53833765,65901029,71973608,79263236,93389698,85560666,85560667,92278092,79263340,65901027,65901026,78250836,78250886,64977477,64977478,78250887,92278104,101239336,101239335,100693325,100693324,101239327,259475253,87238973,101239321,87238994,87238993,101239342,115317696,114743194,100693301,100693300,114743191,127647736,140995668,142007401,142007399,128644324,128644325,114743211,100693315,260054635,128644342,142007392,261776777,142007405,128644331,128644330,129245748,142007390,128644315,114743185,114743184,112211392,98233149,87238966,87238967,101239310,115317669,129245732,129245738,128644321,128644320,140995652,127647720,113779838,113779839,127647722,140995654,261717979,140995748,142615748,142615747,140995656,127647724,113779840,113779841,127647727,129245750,115317695,101239339,101239338,115317692,127647728,113779842,99765884,85812042,85812043,99765887,113779849,113779853,113779854,115191443,115191444,129123347,140995688,261169738,140995676,127647846,127647845,140995678,127647755,113779876,113779877,113779830,113779831,127647710,127647765,261169733,113779898,113779897,127647771,140995640,127647711,113779926,99765972,85812173,259375223,113779867,99765899,99765900,99766011,99766010,260593079,99765894,113779863,113779889,99765928,85812107,72218123,258750229,72218239,72218240,85812210,99766016,259375215,72218068,59480907,48091491,48091492,59480962,258750225,59480929,48091473,38179869,29613041,255460137,16122062,22262311,29613039,38179863,48091463,59480908,72218065,59481018,48091526,48091527,269321246,46672945,46672944,48091552,59481049,49267321,39341565,36786934,256834797,256885810,36786923,28290452,21083970,21083969,28290450,21083975,15144641,15144644,21083980,28290464,36786937,46673003,58047907,65791261,53735376,53735377,257663578,256251169,45430296,56531297,69072224,82599646,96434641,82440230,68916106,56399759,45334423,45334422,45728735,257274690,57495435,57495436,46185805,46185804,57495451,259209019,258363192,82272407,68745536,68745534,258517548,256732856,10129336,10129335,14730182,20534109,27558717,20534117,14730185,10129337,6651698,267819349,1437660,1437663,1442298,818831,463038,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443136,2493294,1439536,1439531,2493318,4152483,4152478,6632347,10099583,14684551,20464423,27449874,35648053,45170713,56186814,45638507,35970049,35970046,45596277,35977178,35977176,45648611,45648501,45648500,56390394,45327751,45327750,56390385,68263431,57398672,46109735,36307080,36307078,34177473,34177476,43272237,53795077,45247013,37847934,29280251,29280252,37847937,47770944,47770060,37847265,29279797,29279765,29279766,37847222,32637829,24967668,18448564,18448563,23985963,23985964,257663237,47770939,37847932,37597798,37597799,36724797,36724796,37597801,47501709,58881046,71601055,76017699,76017700,76610762,70705747,70705746,58779727,47392637,47392638,53726358,53726262,53726263,64796937,64796936,52877418,42473295,42473296,257811417,65782716,53726437,43214627,34126972,26260993,26260992,31460911,25706320,25706321,31460915,23965209,17615268,12433565,12433566,17615270,23965211,25706264,19079492,13621516,13621515,19079489,25706261,33377613,25705889,25691852,19067407,13612424,9321048,6105831,3820386,3820385,6105830,9321045,9321056,6105839,6105836,9321053,13612434,19067434,19079484,13621513,9327278,6109793,3822934,3822935,6109795,6081508,3805399,3805396,4838020,2915411,1691248,1691251,2293195,2293197,1691252 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6943864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3851026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3851026, s2 = 13243159, int(edited[s2]) = 0 s1 = 3851026, s2 = 13243159, d1 = 22, d2 = 64 Dl.O(d1) = 138726134 Dl.O(d2) = 255202481,8596506,6774686,5586790,5586791,4284100,3466115,3466116,3466159,5586944,6801635,4265431,4265433,4250238,4250237,6780507,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706488,2219807,2219809,3706525,5927768,4254518,2543406,2543404,4254507,3817732,2287191,2287192,3817734,5981560,3740335,3740337,4460099,7084133,10297007,6769845,5952990,4234498,2531783,2531784,3176685,5206832,4286559,2562743,1475779,1462538,1462537,2538197,2758367,1599067,1599069,2758373,4584805,7270190,4585757,2758903,1599369,909291,909292,1599340,2758860,4585672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3851026, s2 = 13243159, dlinesl.size( ) = 16 s1 = 15231822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15701917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15701917, s2 = 11836752, int(edited[s2]) = 0 s1 = 15701917, s2 = 11836752, d1 = 74, d2 = 3 Dl.O(d1) = 261978320 Dl.O(d2) = 3770172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15701917, s2 = 11836752, dlinesl.size( ) = 36 s1 = 10218671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8439438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7040448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9447628, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4064014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4065024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6946452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6946452, s2 = 14093603, int(edited[s2]) = 0 s1 = 6946452, s2 = 14093603, d1 = 59, d2 = 80 Dl.O(d1) = 260487055,139067206 Dl.O(d2) = 271575071,92283884,92283885,260900805,78257171,78257170,92283885,260900805,78257171,64983956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6946452, s2 = 14093603, dlinesl.size( ) = 2 s1 = 6946452, s2 = 14093603, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6946452, Dl.E( ) = 98, 4.29e-05 seconds used appending s1 = 16358556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16267442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9478626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9478626, s2 = 4430036, int(edited[s2]) = 0 s1 = 9478626, s2 = 4430036, d1 = 1, d2 = 1 Dl.O(d1) = 259629468,84274901,70723371,58007971,58007972,257760802,84274891,70723362,58007955,58007954,70723279,58007866,58007867,66851754,70723296,58007892,257171808,28250267,28250184,21049862,21049861,28250181,28250312,21049946,15119953,10428980,10428981,15119957,255804637,36745928,36745831,28250233,21049891,15119915,15119916,21049893,28250236,21049966,15119966,10428990,6875777,6875778,10428992,15119970,21049974,28250288,28250287,36745897,36745957,36745956,46633243,58008023,258021286,259272264,272170483,112131781,125968251,139320163,152028378,163894464,163894462,163894461,174707526,184325882,192742284,199980828,264452761,215288740,218697983,221570594,224034813,226171265,228030965,229662807,231111083,232409390,232691354,232691353,231418043,231418041,229996731,229996732,229996734,228394452,226570283,224476509,222066593,264841478,215938041,264317592,263667712,194004976,185768306,262402198,261360960,127839391,113960793,99937958,85979913,85979915,72384912,59650360,59650361,72384913,258327096,257384822,59070584,47671029,37749177,37749176,47671028,47678032,37755850,37755849,41284140,50424802,40390694,31697920,31697919,40390693,50424803,61915330,74709070,67759285,55419312,256753731,27104858,255335885,9975758,9975759,10801502,15612182,21644913,28920276,37459762,47365246,58751270,71480048 Dl.O(d2) = 259629468,84274901,70723371,58007971,58007972,257760802,84274891,70723362,58007955,58007954,70723279,58007866,58007867,66851754,70723296,58007892,257171808,28250267,28250184,21049862,21049861,28250181,28250312,21049946,15119953,10428980,10428981,15119957,255804637,36745928,36745831,28250233,21049891,15119915,15119916,21049893,28250236,21049966,15119966,10428990,6875777,6875778,10428992,15119970,21049974,28250288,28250287,36745897,36745957,36745956,46633243,58008023,258021286,259272264,272170483,112131781,125968251,139320163,152028378,163894464,163894462,163894461,174707526,184325882,192742284,199980828,264452761,215288740,218697983,221570594,224034813,226171265,228030965,229662807,231111083,232409390,232691354,232691353,231418043,231418041,229996731,229996732,229996734,228394452,226570283,224476509,222066593,264841478,215938041,264317592,263667712,194004976,185768306,262402198,261360960,127839391,113960793,99937958,85979913,85979915,72384912,59650360,59650361,72384913,258327096,257384822,59070584,47671029,37749177,37749176,47671028,47678032,37755850,37755849,41284140,50424802,40390694,31697920,31697919,40390693,50424803,61915330,74709070,67759285,55419312,256753731,27104858,255335885,9975758,9975759,10801502,15612182,21644913,28920276,37459762,47365246,58751270,71480048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9478626, s2 = 4430036, dlinesl.size( ) = 2 s1 = 9478626, s2 = 4430036, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9478626, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14331751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3864279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3864279, s2 = 15906916, int(edited[s2]) = 0 s1 = 3864279, s2 = 15906916, d1 = 43, d2 = 5 Dl.O(d1) = 139440704 Dl.O(d2) = 16409107,11425248,7594744,4804122,2895473,1680246,1680247,2895477,4804131,7475826,7594992,4804250,4804249,7595010,7595045,7595056,11425780,16409944,22437927,16473818,11478115,11478116,11425804,11425803,16409972,22592745,16409680,16409682,22592755,25412416,18821026,18821029,25412759,21103459,15158860,10454170,6891217,4326047,2588112,1491990,1491991,2588114,4326052,6891228,5999973,5999972,9167195,9167200,9167199,13408546,16188603,16188604,16473111,21714045,15671165,254340130,28999011,37544375,29045017,267967434,29013364,21725912,21725911,21733740,21733826,29023145,36810103,28313476,255052336,46693377,47494866,255856272,30457448,30457447,39046701,48429061,59815006,268213106,33154441,33154440,255858148,47497144,268076328,15698836,15698835,21752064,29023133,21733814,15685534,15685535,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,7184424,4526116,4526118,7184436,10866468,15697328,21750237,25412930,33154114,42108645,52461234,255423898,58855532,47494671,47494673,47408961,47408962,58795877,58856309,47472583,40434869,40434868,50472275,50471494,50471493,49154162,39227879,33154401,33154399,42108966,52461562,50476870,50476871,61970220,50476782,47474047,47474048,49108352,40439984,31745634,24235328,24235330,31745782,40440159,47494861,40440243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3864279, s2 = 15906916, dlinesl.size( ) = 2 s1 = 3864279, s2 = 15906916, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3864279, Dl.E( ) = 86, 1.91e-05 seconds used appending s1 = 8530775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4072144, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3383973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14919207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15935649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4074693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4074693, s2 = 15923762, int(edited[s2]) = 0 s1 = 4074693, s2 = 15923762, d1 = 44, d2 = 68 Dl.O(d1) = 152278179 Dl.O(d2) = 24363410,17967986,12733240,12733241,10444682,6885379,6885378,10444677,15144154,21083345,22359802,16207199,11266416,7479095,7479098,11266427,13455468,11227888,7450094,7450092,8652449,5627911,3496958,2077920,1194248,1194247,2077910,3496941,5627872,8652476,5627997,5627996,7479181,7479182,11266573,15795616,18880787,18880785,17968362,17968360,20794311,16160552,11227980,11227979,16160548,19689247,14116831,14116771,9712072,9712073,14116773,19689173,19689272,19689273,22363328,16209892,14901470,10252040,6736338,6736337,8591580,8591582,12654346,14901629,14901632,18881260,18885112,25483899,25483901,255298976,52551178,59552300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4074693, s2 = 15923762, dlinesl.size( ) = 2 s1 = 4074693, s2 = 15923762, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4074693, Dl.E( ) = 72, 3.7e-05 seconds used appending s1 = 6553956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553956, s2 = 11023280, int(edited[s2]) = 0 s1 = 6553956, s2 = 11023280, d1 = 46, d2 = 54 Dl.O(d1) = 255903172,21775236,20141677,20141676,21214755,257424499,260506809 Dl.O(d2) = 64620638,256016228,25591260,25591259,33351805,42333330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6553956, s2 = 11023280, dlinesl.size( ) = 52 s1 = 14884499, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7070588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11736210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11736210, s2 = 11170619, int(edited[s2]) = 0 s1 = 11736210, s2 = 11170619, d1 = 69, d2 = 64 Dl.O(d1) = 184692312,184692314,175109696,272182952,139713044,270810482 Dl.O(d2) = 257693948,28733975,21476541,15473968,15473967,21476539,28733971,37266188,47172281,58561305,256675270,44757502,35329581,35329580,44757500,55667888,68067362,55667891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11736210, s2 = 11170619, dlinesl.size( ) = 26 s1 = 15473132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15473132, s2 = 11657825, int(edited[s2]) = 0 s1 = 15473132, s2 = 11657825, d1 = 12, d2 = 15 Dl.O(d1) = 272185921,140050407,152740361,260619480,143080844,129750789,129750788,142374305,128998696,115071924,101000603,87006866,86081280,86081281,87006864,87006865,84375552,73391329,60644643,50112845,40092321,31412552,23922975,17581951,12409832,12409831,12394874,12394873,15474031,10700470,10700471,15474032,18955889,13519417,13519418,18955890,15474042,10700484,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,12384307,12384305,13524476,13524477,12088731,12088728,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376675,8376674,7679677,7679675,8372600,5403545,3322185,3322186,5403552,5473158,8272877,5338081,5338080,8272868,12249311,13515652,13515653,17536345,12368410,8357504,8357506,12265571,10903613,7211252,4543524,4543526,7211268,10903640,12405653,8384324,8384323,12405650,14449666,20144090,27036922,35124022,28482286,21264827,21264828,28482289,28481736,21264102,21264103,28481739,36979078,39323967,30726160,23308400,23308401,30726162,39323969,49250402,258210771,87012636,101006186,115077308,129004197,142379816,155027340,273525698,194729024,193077774,184713980,175135847,164341600,152472700,139750383 Dl.O(d2) = 127898060,141258714,153930689,165705676,176370659,185811289,194045009,201101074,207047242,211953737,215962011,219281367,222084704,224492887,226585365,224923865,222577043,219844272,216606166,212700071,207921739,202123699,195225180,187155072,177884471,167389747,261224244,129874956,115977266,101932754,87959951,74357727,61580978,50101029,40080349,31399484,23906938,17563226,12392081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15473132, s2 = 11657825, dlinesl.size( ) = 2 s1 = 15473132, s2 = 11657825, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15473132, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 15904621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4081528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7118129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16311439, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15545307, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8180958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8180958, s2 = 4088463, int(edited[s2]) = 0 s1 = 8180958, s2 = 4088463, d1 = 15, d2 = 12 Dl.O(d1) = 256342392 Dl.O(d2) = 152719809,140025065,260544620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8180958, s2 = 4088463, dlinesl.size( ) = 2 s1 = 8180958, s2 = 4088463, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8180958, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 13727423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15379763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15379763, s2 = 14972950, int(edited[s2]) = 0 s1 = 15379763, s2 = 14972950, d1 = 11, d2 = 9 Dl.O(d1) = 52312814,41972463,33029375,25303104,18728119,18728118,15651609,10833329,7161223,4510316,4510314,7161218,7161127,7161128,10833169,15651343,21691365,28116536,21275113,15313581,15313579,21275108,15651348,15651347,21691371,23764824,23764823,31249338,39200822,39200821,32191316,24603530,18155542 Dl.O(d2) = 8755607,8755606,12874530,18155541,24603529,32191314,40970875,257717859,47215750,37309518,28775735,21513937,15503853,10721936,10721937,15503855,21513938,28775737,37309519,47215752,58604618,270296471,98834069,112824909,126681538,140034241,273355358,262247004,261185014,165665175,176333659,262724492,261185017,259389777,72402345,257531767,29794720,22428619,22428620,258508063,268813689,6429772,9779283,14225305,19855859,26672895,30899697,39507199,39507208,30899710,28710047,21455135,21455136,28710050,37240767,39988026,39988027,50005853,47939933,38026157,38026155,30591723,23173135,16909218,257592707,73264443,270871963,262950504,261995108,257814020,41447432,256149524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15379763, s2 = 14972950, dlinesl.size( ) = 2 s1 = 15379763, s2 = 14972950, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15379763, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 3885408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3885408, s2 = 8835181, int(edited[s2]) = 0 s1 = 3885408, s2 = 8835181, d1 = 0, d2 = 19 Dl.O(d1) = 140083410 Dl.O(d2) = 221779194,224223300,226341292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3885408, s2 = 8835181, dlinesl.size( ) = 2 s1 = 3885408, s2 = 8835181, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3885408, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 13446883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14909613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6951694, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14132351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4093366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4093366, s2 = 11167688, int(edited[s2]) = 0 s1 = 4093366, s2 = 11167688, d1 = 23, d2 = 0 Dl.O(d1) = 152862492 Dl.O(d2) = 58750713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4093366, s2 = 11167688, dlinesl.size( ) = 38 s1 = 4093663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3889216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11335864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8535531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8535531, s2 = 9445835, int(edited[s2]) = 0 s1 = 8535531, s2 = 9445835, d1 = 12, d2 = 15 Dl.O(d1) = 74011535,87615582,101582547,115622576,129507238,142823876,155404917,164747566,152917140 Dl.O(d2) = 34696010,43971283,54715030,66974015,80404374,94464170,108757693,108757695,123026940,136857981,149991880,273050775,173292792,183137820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8535531, s2 = 9445835, dlinesl.size( ) = 14 s1 = 8748804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16056210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16056210, s2 = 14227969, int(edited[s2]) = 0 s1 = 16056210, s2 = 14227969, d1 = 52, d2 = 54 Dl.O(d1) = 22304378,24328129,17939956,17939955,12712016,12712014,12711983,12711981,17939997,24328185,24468289,24468288,21452947,15454381,10685299,10685300,15454385,21452956,24359562,24359563,21316236,15421037,10660361,10660362,15421044,21409476,28652225,24359511,24359509,24359522,24359521,31886747,34636766,28656953,28656954,31847869,24328100,24328099,24328139,17939962,17939961,24328136,31847879,31847880,31847884,31847883,40545944,31847842,31847841,40545942,50581868,49469668,39535478,254388822 Dl.O(d2) = 30077427,22696411,22696414,29296509,37830764,29265055,29265054,37830761,38659725,30082473,30082472,38659724,48575627,268225418,25534670,25534668,25534598,25534596,25534683,19376509,19376508,26058172,33882112,256345034,43869007,34598694,34598695,38648262,30535414,30535412,39134171,33296293,33296292,38275399,258134215,42277451,33882126,33882125,42928291,42277447,42277448,52664804,42277437,33296260,33296261,42277399,33296236,25534608,18923351,13490476,13490475,18923349,25534603,33296232,26243358,26243357,26058161,19376503,19376502,256687845,47753181,47753180,48519579,48184818,38275388,29708660,255467219,11262905,7476958,7476957,11262901,16202133,22353396,23961711,23961710,29708654,38275376,48184804,53394423,52664745,52664746,269495818,50494243,50160436,42378345,42378344,52777252,53704059,256699115,34106747,38275382,47703951,37783192,29221499,29221500,34654031,34654030,43927342,47703963,50160466,50160465,61525458,50045738,40025745,40025746,50045740,50160429,40137409,31455894,31455895,40137410,37783162,29221477,21906197,15825228,10966614,7258829,7258830,10966615,15825231,21906204,29221491,37783176,47703931,47703941,47703908,46606825,40137423,31455904,31455905,40137426,268393784,37783224,47703991,59102115,52808751,51742165,51742164,63519990,76599478,67533025,67533024,81002474,84252943,98146291,86827847,73214706,73214707,71841007,71841006,61820952,50337764,44339403,34962695,26884648,20004843,14326815,14326816,20004845,26884652,34962700,44339412,55189252,50337741,50337740,50337753,61644197,52664776,42277410,42277411,52664777,59102023,47703903,47703904,55669726,47703900,37783150,37783151,39133992,30535255,30535254,39133989,49064106,53309701,65309122,59570819,50337748,50337749,61820933,74612768,88243228,270000426,61820943,73214665,60467676,49064108,49064109,60467678,73214669,61820928,50337745,40311855,40311854,50337742,61820923,74612760,88243218,74612758,74612756,88035581,74723061,74485031,61702078,50220362,42277452,269020598,38034702,38034701,47948333,59339833,53207985,42758449,42758450,53207989,65193462,71889435,59151749,256138438,37830754,47753174,59151745,71889429,71889455,258427014,63519998,63519997,59151771,47753204,47753203,53207995,42758455,33728762,25921950,19260077,13764346,13764345,19260074,25921947,33728760,259073619,260318339,121088373,134890041,148009980,160258062,171472667,263373307,190275854,197863773,204330446,274051577,217781986,220814619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16056210, s2 = 14227969, dlinesl.size( ) = 2 s1 = 16056210, s2 = 14227969, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16056210, Dl.E( ) = 56, 1.88e-05 seconds used appending s1 = 4101092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4101586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9209235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16231660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3903772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3903772, s2 = 1083216, int(edited[s2]) = 0 s1 = 3903772, s2 = 1083216, d1 = 0, d2 = 0 Dl.O(d1) = 140784282,153464665,165264031,175965432,185447554,193269639,184929550,261738728,152785410,140095093,260014254,112895897,258771004,84982978,71409122,58675005,47283810,37374341,255098514,21563386,256415548,36581647,36581646,36581647,36581646,36581647,28109389,28109390,36581648,32780384,32780383,32780384,25083037 Dl.O(d2) = 140784282,153464665,165264031,175965432,185447554,193269639,184929550,261738728,152785410,140095093,260014254,112895897,258771004,84982978,71409122,58675005,47283810,37374341,255098514,21563386,256415548,36581647,36581646,36581647,36581646,36581647,28109389,28109390,36581648,32780384,32780383,32780384,25083037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3903772, s2 = 1083216, dlinesl.size( ) = 2 s1 = 3903772, s2 = 1083216, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3903772, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14966685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14966685, s2 = 8485547, int(edited[s2]) = 0 s1 = 14966685, s2 = 8485547, d1 = 32, d2 = 35 Dl.O(d1) = 260044998,85524524,71936440,59196733,59196734,71936442,85524518,99471097,86398052,86398053,85524512,85524513,99471093,100354868,86398049,72802384,72802385,80283652,80283653,254907334,71936437,60064452,268289662,30162961,255493829,11541879,16558798,22773768,256435735,44397072,38336953,29766204,256406991,28474818,21255179,15290586,258661609,98422491,272176325,262644053,174203113,265962577,274408334,273118726 Dl.O(d2) = 59287326,47891161,270834959,111633334,125436308,138765339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14966685, s2 = 8485547, dlinesl.size( ) = 26 s1 = 15574933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15574933, s2 = 4107687, int(edited[s2]) = 0 s1 = 15574933, s2 = 4107687, d1 = 1, d2 = 1 Dl.O(d1) = 1553048,906383,511119,511120,254162883,510563,510565,254162885,2747375,4567981,7238117,7238116,4568586,2747815,2747814,4568584,7245964,7237967,4562983,2744099,2744098,2748724,2747932,1592664,1592662,2747927,4568752,7246156,10928611,7249163,7249162,10953113,7249577,4571341,2750149,2750148,4571764,7250041,10954156,255433551,29196502,37757971,47680181,59080196,256497110,58054873,255993338,70772995,70772994,71946097,59207097,47807722,37884244,29315377,21987170,15890821,15890823,21987176,24833636,254180056,16944458,16944459,23216686,30639905,39238001,49164799,39237997,39237998,47897596,59292990,72029325,85617966,99568560,113585137,127461343,140821610,153502714,165298488,165662382,153885621,141213493,127854161,260007577,85994594,258140697,48274253,48274254,59662168,49343321,39413759,30808660,23380295,22424879,16258660,11303863,7504820,7504821,11303837,7504809,4743842,4743843,7504811,11303842,16258622,22424832,29790342,38362839,40044774,257653041,61542192,74318497,87921621,101895546,261292633,155726824,167361586,177858777,187131633,195203429,202103381,207903162,212682590,216589525,219351732,216045032,274104121,207169125,201245144,194207783,185992099,262739323,141494630,128133324,114246402,100211964,86243886,72641534,59900101,48506489,38591543,30018988,22646593,16455856,11465637,7626348,7626349,11465640,11463375,11463377,16452733,16452732,18576006,18576008,25128454,255327968,16456291,16456312,18576857,25129653,32834913,38586672,48501555,268826218,22644294,16454104,16454105,18575991,18575992,16456273,16456274,22644292,16454103,16454102,16456218,17147060,16452664,16452662,22642451,30014276,25128983,25128435,18575989,18575988,25128429,32833310,41754155,38587041,30014614,30014615,38586841,33230930,32833411,32833410,30014516,22642636,16452811,11463411,7624893,7624894,11463416,16452822,22642661,30014556,32833240,28732472,21474858,21474857,25128362,22642608,22642610,22644316,16454118,16454119,22644321,21474853 Dl.O(d2) = 1553048,906383,511119,511120,254162883,510563,510565,254162885,2747375,4567981,7238117,7238116,4568586,2747815,2747814,4568584,7245964,7237967,4562983,2744099,2744098,2748724,2747932,1592664,1592662,2747927,4568752,7246156,10928611,7249163,7249162,10953113,7249577,4571341,2750149,2750148,4571764,7250041,10954156,255433551,29196502,37757971,47680181,59080196,256497110,58054873,255993338,70772995,70772994,71946097,59207097,47807722,37884244,29315377,21987170,15890821,15890823,21987176,24833636,254180056,16944458,16944459,23216686,30639905,39238001,49164799,39237997,39237998,47897596,59292990,72029325,85617966,99568560,113585137,127461343,140821610,153502714,165298488,165662382,153885621,141213493,127854161,260007577,85994594,258140697,48274253,48274254,59662168,49343321,39413759,30808660,23380295,22424879,16258660,11303863,7504820,7504821,11303837,7504809,4743842,4743843,7504811,11303842,16258622,22424832,29790342,38362839,40044774,257653041,61542192,74318497,87921621,101895546,261292633,155726824,167361586,177858777,187131633,195203429,202103381,207903162,212682590,216589525,219351732,216045032,274104121,207169125,201245144,194207783,185992099,262739323,141494630,128133324,114246402,100211964,86243886,72641534,59900101,48506489,38591543,30018988,22646593,16455856,11465637,7626348,7626349,11465640,11463375,11463377,16452733,16452732,18576006,18576008,25128454,255327968,16456291,16456312,18576857,25129653,32834913,38586672,48501555,268826218,22644294,16454104,16454105,18575991,18575992,16456273,16456274,22644292,16454103,16454102,16456218,17147060,16452664,16452662,22642451,30014276,25128983,25128435,18575989,18575988,25128429,32833310,41754155,38587041,30014614,30014615,38586841,33230930,32833411,32833410,30014516,22642636,16452811,11463411,7624893,7624894,11463416,16452822,22642661,30014556,32833240,28732472,21474858,21474857,25128362,22642608,22642610,22644316,16454118,16454119,22644321,21474853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15574933, s2 = 4107687, dlinesl.size( ) = 2 s1 = 15574933, s2 = 4107687, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15574933, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14104513, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11406178, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15576591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11746712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3911527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15981235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15981235, s2 = 11488476, int(edited[s2]) = 0 s1 = 15981235, s2 = 11488476, d1 = 58, d2 = 34 Dl.O(d1) = 53390383,42924416,33878806,26055736,19374787,19374786,26055734,19374971,19374972,268034420,33244848,254772548,18889832,21017460,21017459,26036942,30861383,31398625,23905888,17562061,16897344,11825801,7903181,5023796,5023795,7246782,4569170,2748177,1592804,905513,905510,1592792,2748150,4569112,7246669,10949968,15802840,16178146,15840413,15840411,11825491,7902962,5589960,5405884,5405885,5409739,8383066,12404207,12264438,8282358,5343440,5343439,8282354,11544216,16553330,16553305,16553304,22767169,30155474,23726960,17403051,12264415,8282336,5343434,5343433,8282331,12264406,17403039,23726951,21170547,15212188,12264589,12264590,17403299,21256846,267786066,15302523,10566782,10566783,15302525,21264832,23719160,17395291,17395292,23719161,31206126,268976024,18703694,18703695,256020460,13310483,9091564,9091565,10301865,10361714,15034159,13295451,13295452,10988108,7273667,4587089,4587088,7273661,10988095,10294536,10294533,14961946,11587934,7713398,7713399,10383563,10383564,15057863,13272925,13272924,18664548,24255247,25242063,25262407,18690946,18690947,25262409,23573474,17262047,12141623,8171023,5240102,3199185,3199187,5240105,7273295,7273296,8050980,11998159,12093019,12093018,17197605,23480729,30917738 Dl.O(d2) = 264110650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15981235, s2 = 11488476, dlinesl.size( ) = 14 s1 = 8498061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8498061, s2 = 11842073, int(edited[s2]) = 0 s1 = 8498061, s2 = 11842073, d1 = 73, d2 = 93 Dl.O(d1) = 127744419,141098148 Dl.O(d2) = 166834095,155140384,142495971,142495970,139980691,126627062,112772015,98782479,84856158,84856157,98782478,98782476,98782477,99668580,113681427,259424382,85720936,72136503,72136502,85720934,72136500,59406385,59406386,59406388,48019520,48019519,48019518,38109380,29546071,29546072,38109383,48019521,59406378,48019511,38109375,29546064,22202607,16073201,11161456,11161457,16073349,15187206,15187208,21137505,28351043,36848474,41972664,255576642,25303340,18728304,18728305,25303341,30097677,30097676,38108457,29545247,22201913,255893021,38108458,257460699,47318712,39756252,31078721,23595471,17283211,12162203,12162202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8498061, s2 = 11842073, dlinesl.size( ) = 2 s1 = 8498061, s2 = 11842073, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8498061, Dl.E( ) = 96, 2.6e-05 seconds used appending s1 = 3914412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8722220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16053407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16053407, s2 = 11533634, int(edited[s2]) = 0 s1 = 16053407, s2 = 11533634, d1 = 34, d2 = 32 Dl.O(d1) = 11318004,11318005,16276599 Dl.O(d2) = 264996011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16053407, s2 = 11533634, dlinesl.size( ) = 8 s1 = 6724584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7001550, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6889519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3180577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3180577, s2 = 11097128, int(edited[s2]) = 0 s1 = 3180577, s2 = 11097128, d1 = 18, d2 = 22 Dl.O(d1) = 100092712,258721932 Dl.O(d2) = 208661721,264603330,203025313,196298114,263305424,169129813,272340140,118215640,269945174,32397869,256595319,32397869,255625770,18295187,24774800,256595317,256826378,43195355,34109123,26245136,26245135,34109122,256288066,59256529,47860335,37941289,37941290,47860338,59256531,58376999,58377000,71093136,259300045,112572645,272529801,193115694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3180577, s2 = 11097128, dlinesl.size( ) = 2 s1 = 3180577, s2 = 11097128, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3180577, Dl.E( ) = 30, 2.5e-05 seconds used appending s1 = 11363016, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13680355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4474601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15467667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3926225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6760710, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14105710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105710, s2 = 7025916, int(edited[s2]) = 0 s1 = 14105710, s2 = 7025916, d1 = 11, d2 = 6 Dl.O(d1) = 38685960,30109631,22728851,16523409,16523410,22728853,22949581,30109628,30109629,256277674,48602032,59993885,72731259,86328984,100291290,114321869,128205069,141561498,154222741,165979527,165979525,154222740,154222739,165979524,176622827,186040681,194250868,201283740,207203150,212085235,216073516,218281932,214800864,210570872,205393165,199135535,191736074,191736073,263425753,173284548 Dl.O(d2) = 261541437,262611090,34690016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105710, s2 = 7025916, dlinesl.size( ) = 2 s1 = 14105710, s2 = 7025916, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14105710, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6959927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6959927, s2 = 7524583, int(edited[s2]) = 0 s1 = 6959927, s2 = 7524583, d1 = 19, d2 = 48 Dl.O(d1) = 260631155 Dl.O(d2) = 267483217,267508089,246199588,267549521,267532668,267499070,245915917,245799864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6959927, s2 = 7524583, dlinesl.size( ) = 28 s1 = 15063432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15063432, s2 = 11357614, int(edited[s2]) = 0 s1 = 15063432, s2 = 11357614, d1 = 88, d2 = 87 Dl.O(d1) = 43168041,34084655,26223985,19509333,19509334,26223988,33312040,25550622,18938139,18938138,25550620,33312037,34084842,43167954,43167937,34084575,26223738,26223739,34084579,29267184,29267183,37833280,39395246,30792606,26895185,26223965,19509316,13964400,9588195,9588194,13964414,15856258,10990153,10990152,15856256,21945099,29267248,29267261,21958806,21958805,18938142,18938144,25550632,33312054,25741687,19108081,13642963,9342369,9342371,13642972,19108096,20165866,20165868,27059521,33756932,38873470,30792727,23366645,255980765,23366622,23366623,30792693,39395349,39395292,30792634,23366584,23366583,30792627,34084727,26223842,19509239,13964358,9588148,9588150,11290193,16239696,21967769,15873922,12454591,12454590,17632503,23979474,22249978,22249977,29599410,38166203,38166210,38166211,48079153,44600063,35219274,27125965,27125963,25647497,19029672,13583100,9300591,9300590,13583097,255677683,22259476,22259475,29609758,34013186,43070990,53549921,65574825 Dl.O(d2) = 212389046,216333577,265045494,274014472,212389050,207566513,207566511,212389053,216333588,219605379,219605375,216333575,212389045,264508106,263159612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15063432, s2 = 11357614, dlinesl.size( ) = 58 s1 = 14102288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16393570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116028, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15552911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15552911, s2 = 10199004, int(edited[s2]) = 0 s1 = 15552911, s2 = 10199004, d1 = 34, d2 = 3 Dl.O(d1) = 195504,356836,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363035,654681,1166504,2016416,2016417,2021882,2021676,2021677,3422549,3422546,5492586,3382908,2023379,2023382,3424871,3450735,2044221,2044220,254418915,5497913,3459105,3459104,5539496,3424730,2023275,2023277,3424731,5539499,8541799,8532135,254414849,254414851,3437555,5553113,8556201,254872897,3447643,3447642,5483406 Dl.O(d2) = 16613360,11587881,7713357,7713358,11587882,16613361,22834477,30226140,256985041,48729335,60124201,59026331,47623290,37700165,256843969,36915646 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9664805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358453, s2 = 6674101, int(edited[s2]) = 0 s1 = 10358453, s2 = 6674101, d1 = 18, d2 = 9 Dl.O(d1) = 226346154,265638890,209344535,263716312,260864280 Dl.O(d2) = 257193452,86464370,72868973,60132263,48737550,48737549,256123216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358453, s2 = 6674101, dlinesl.size( ) = 14 s1 = 14112186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8416840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14544285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14544285, s2 = 9218255, int(edited[s2]) = 0 s1 = 14544285, s2 = 9218255, d1 = 27, d2 = 70 Dl.O(d1) = 254291398 Dl.O(d2) = 262187935,175422900,175422901,262669931,152827557,140133077,260541925,112928153,126782632,140133076,262187935,166195644,262758981,260541925,259322051,85013529,259910583,126311593,114567210,100536712,258807279,257587417,39119063,39119062,257575787,38927637,30341334,22940062,16704495,11664385,7774976,254368585,1724483,2971773,4927122 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7229094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7229094, s2 = 11123316, int(edited[s2]) = 0 s1 = 7229094, s2 = 11123316, d1 = 40, d2 = 0 Dl.O(d1) = 264281578 Dl.O(d2) = 73062640,60321594,48923101,48923100,60321592,60321594,48923101,256454793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7229094, s2 = 11123316, dlinesl.size( ) = 2 s1 = 7229094, s2 = 11123316, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7229094, Dl.E( ) = 64, 3.6e-05 seconds used appending s1 = 7017449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7017449, s2 = 2822209, int(edited[s2]) = 0 s1 = 7017449, s2 = 2822209, d1 = 14, d2 = 10 Dl.O(d1) = 261414986 Dl.O(d2) = 84731756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017449, s2 = 2822209, dlinesl.size( ) = 16 s1 = 4138162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4138162, s2 = 13326281, int(edited[s2]) = 0 s1 = 4138162, s2 = 13326281, d1 = 21, d2 = 18 Dl.O(d1) = 166377609,154661684,142018514,260655505,260055581,86734869,258814617,257583641 Dl.O(d2) = 14505246,9981172,6560275,4983691,3010389,3010392,4983702,7851621,11759751,11452668,11452666,16438019,22623251,29991275,38561430,48474713,255227874,256081694,53309974,59625366,48238185,39366750,39366749,38576370,256808484,30005604,30005603,38576364,48489405,48489404,39792219,39792220,48917288,254431416,30404395,38993570,48917290,59866360,59866361,60315578,268469602,72604344,59866362,59866363,72604345,86201830,100164097,114194324,128080865,141446050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4138162, s2 = 13326281, dlinesl.size( ) = 2 s1 = 4138162, s2 = 13326281, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4138162, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 15023846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7066972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3943810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7115880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7115880, s2 = 7830515, int(edited[s2]) = 0 s1 = 7115880, s2 = 7830515, d1 = 64, d2 = 54 Dl.O(d1) = 262775209,154874968,166575957,177150330,166575945,166575946,154874955,142241068,128889839,128889838 Dl.O(d2) = 1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,5254588,3211080,1880742,1072956,602846,335712,335711,254132605,1880718,3211029,5254503,5389147,3313833,3313832,5389146,8349635,10928414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7115880, s2 = 7830515, dlinesl.size( ) = 18 s1 = 6711573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3947264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13845337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15194542, s2 = 7107160, int(edited[s2]) = 0 s1 = 15194542, s2 = 7107160, d1 = 17, d2 = 5 Dl.O(d1) = 71994173,257021356,37942242,29376598,29376599,37942244,39499361,257601872,59946308,48554083,38639328,38639329,48554085,59946309,62011406,52682520,42295899,42295900,52682521,60831572,256840838,33315369,25553509,25553508,29186246,29186247,37747317,41971351,41971352,49398461,39469979,39469978,42156425,255847632,255265477,9228946,9228945,13489188,18921535,254740380,39334749,39334748,42676518,37096244,28589666,28589667,26264055,19544133,13994818,13994819,19544137,19544148,19544149,26264082,28108312,28108311,36580557,46445966,49144648,60544008,60799236,53730080,46672050,46672051,43218109,34130388,26264029,19544124,19544126,26264034,28878333,28878332,37419924,47328146,49930178,61409219,65786151,55449448,49930157,39911620,31236096,31236097,39101409,42211610,42211609,52572308,49930169,39911623,39911624,47711010,42212002,33249928,33249929,37096231,34130420,26264050,26264045,26264046,28264162,26264070,26264071,28264157,36580550,36580551,46445958,57801448,70502358,60269343,48876946,48876938,48876937,60269329,53730021,53730022,53730033,43218114,34130392,34130393,37419915,37419914,47328136,49930173,49930172,55449431,55449451,44600188,35219387,27126057,27126056,35219385,42211617,33249641,33249642,42211622,52572317,49930162,49930163,52572340,42211644,42211645,52572342,53730014,43218137,34130412,34130402,34130403,43218126,34130445,34130444,36759853,46645606,57801445,57801444,48876929,38957384,30371266,22969763,22969764,30371271,38957390,48876942,60269342,65786164,53730043,53730042,58716863,58716856,58716855,64447253,77615181,64447475,52572496,42211799,42211798,35219376,33225190,33225191,42185252,42211598,33249636,33249637,42211605,52572302,52572358,42211656,33249662,25498658,25498659,33249665,42211665,52572372,53730072,60269335,60269332,53730118,53730114,53730113,53730058,53730057,52572694,42211948,33249863,25498822,25498823,30371255,30371256,38957375,48876911,60269294,73004238,65786186,53730050,53730048,64447318,60269309,48876920,48876921,52572222,48957523,42211742,33249700,25498691,25498692,33249706,42211751,52572220,64447193,77615179,77615240,77615238,64447365,52572398,42211675,33249670,25498663,25498664,33249676,42211682,52572409,52572681,52572679,64447573,77615493,91544398,91544393,77615400,64447584,64447583,77615509,91544468,91544295,91544296,77615316,64447352,64447353,77615321,77615490,77615488,91544286,91544319,101171094,101171093,91544444,77615484,77615483,91544440,99533095,85586304,71999607,59263468,47867984,47867983,59263461,59263489,71999635,85586327,86601676,73004255,73004253,77252857,77252855,77252858,91171374,99533106,99533105,101171082,115248035,119998636,105766050,100325081,91544389,91544390,105766048,101171152,260086145,114352159,115248003,101171044,101171045,101171125,87174075,87174077,86809229,86809230,100790068,114841776,115248069,259469839,73556618,60810541,49410356,39480839,39480840,49410358,60810545,73556545,60810477,60810479,73556552,87174018,91171378,77252862,64106054,64106055,73366074,60621627,49222921,49222919,60624169,72768129,72768128,86365227,100325105,114352170,101171173,258207986,73556468,73556469,87173954,258210386,52268924,41930089,41930088,52268920,258385575,73556483,73556484,87173971,73556660,60810575,49410380,39480855,39480856,49410383,60810578,73556665,73556489,71471561,71471562,85043305,87173986,73556509,73556508,77572913,64550377,64550376,77733028,81084179,67618483,55280560,55280559,67618479,60810503,49410322,39480820,30875810,30875812,39480825,49410334,49410242,39480746,30875771,30875772,39480754,30875802,23445906,17170759,12073166,12073164,17170752,23445899,30875782,39480781,46696213,47354407,47354406,42173713,42173714,52531631,60810461,72032243,59295911,59295909,71782754,59041032,59041031,55280085,55280087,49410262,49410261,60810446,73556514,73556502,60810437,60810436,71471316,58741885,47354315,47354313,53377459,53377460,53377450,47354382,47354383,49410315,49410328,47354397,47354398,49410220,39480728,39480727,49410215,49410281,39480789,30875790,30875787,30875775,30875776,39480765,47353992,37447402,37447403,37447764,28908420,28908418,37447760,37447851,47354503,39480719,39480718,49410201,60810363,53377495,53377496,65381456,75651197,62705927,51075566,40933833,40933834,51075571,58741639,47354045,37447669,28908356,21634053,21634052,28908352,37447657,37447874,37447433,28908201,28908200,37447427,33865537,33865538,33865530,33865531,37447727,28908389,28908388,37447721,47354368,49968637,58741897,58741862,49416733,39487187,30881346,30881345,37447711,28908380,21634072,15602603,10793912,7131360,4489529,2697135,2697137,4489533,7131364,10793926,15602634,21634133,28908488,32851479,41772810,35369233,35369234,268925262,55701304,58054695,47354290,37447650,37447649,32851465,32851462,37447871,37447420,37447421,37447365,37447363,47353957,53377469,47354330,37447684,37447685,36794109,36794108,46680199,52086985,49416712,39487166,39487167,47354352,44793742,37447290,37447291,33249790,33249791,28908127,21633929,15602522,10793865,7131344,7131345,10793868,15602530,21633939,25144515,18588879,18588880,20313861,20313831,20313829,27245343,27245359,35369265,44793832,46680168,46680167,47353908,37447312,37447313,46680179,36794090,28297032,21633945,21633947,28908158,256201732,36506469,28042904,28042903,35369257,28297049,27245289,20313797,14578211,14578210,20313792,27245280,35369158,32363175,32363176,41179100,44793803,46680207,36794128,28297064,28297065,36794135,28908076,21633896,21633897,28908082,27245304,27245303,27245388,20313871,14578253,10031462,6592795,6592794,10031455,10447884,10447885,15148834,21089490,25083405,32780790,35369277,35369241,35369243,39119029,39119028,37447350,37447349,41179090,46364830,37294178,35369258,35369259,44793828,39469983,30866270,23437479,23437478,30866269,39469980,49398464,255847634,73546262,87164744,101162794,115240375,129171606,142548299,260542402,186741276,194851143,194851146,262670288,201952759,201952758,207772024,263508802,201952762 Dl.O(d2) = 177428744,166883892,166883893,261120232,177428743,186741270,194851135,201792149,201792152,201792155,194851140,186741273,186741274,261670590,177428749,166883895,166883896,177428750,186741281,194851146,263111482,186949307,177668323,167169020,155536391,261821375,129658616,115760819,101714653,87740280,74134380,61352528,49870715,256507259,23678374,17358163,12228287,12228284,17358155,21329854,21329856,28554882,21329507,15357328,10609911,7000831,4399936,2636686,2636684,4399934,4399899,4399901,7000904,10610015,12228261,12228257,10609995,7000888,7000889,10609998,15357448,21329693,28555093,37055617,46933982,49870657,268611402,37055385,37055578,37055577,46934008,46934032,57721540,49870674,39848416,37055642,28555130,21329737,15357483,15357482,10610036,7000914,7000915,7000875,255030497,10610158,255397209,21329748,21329747,28555142,256316305,21329445,15357283,15357284,21329447,21329658,255030499,10609982,15357426,21329656,28555047,37055538,46933729,37055258,28554858,28554783,21329418,21329417,28554781,28554863,37055351,46933817,37055547,37055325,37055326,46933801,37055348,28554862,28554861,37055344,37055573,37055322,37055323,28555168,28555167,37055670,257172528,37055231,28554758,21329399,15357300,15357301,21329473,28554844,37055317,46933794,58299802,46933777,37055302,28554829,21329484,268070361,7000815,4399846,4399847,7000817,10609891,15357296,21329463,28554830,28554845,37055319,34576009,34576011,43847849,37056377,28555851,28555852,37056383,46934803,37056350,28555822,28555821,28555902,21330430,15358017,10610427,7001168,254333249,1522684,1522683,2636756,4399987,2636711,1522657,254224945,254498645,10610256,15357801,10610249,10610248,255397223,15357806,13178719,13178718,13178794,13178797,15357902,21330306,25094493,18547819,13178754,13178749,13178748,18547808,25094484,28555571,25094434,25094435,21330118,268139116,18547797,25094476,32793514,257172715,41709648,41709647,41709650,255646112,25094542,25094541,32793472,25094427,18547744,18547743,25094422,32793467,37056303,32793533,32793534,41709691,46934657,37056167,28555574,21330105,15357721,15357722,21330091,21330092,15357745,15357743,255245452,7001032,7001031,10610237,15357791,21330176,28555527,37056138,256108008,52092269,41779025,255245464,54648511,256107990,41779144,46934625,37056124,28555553,21330067,21330066,23781665,17451426,17451428,23781669,28555560,21330080,21330074,15357704,15357698,15357697,21330052,15357690,15357689,21330049,28555521,37056129,32793519,32793518,25317053,25317054,19546969,19546970,26267463,34133913,43221707,34633441,26642769,26642771,26588821,26588819,33545006,25756311,19117950,271071371,257711142,32104933,268272019,12830936,8724395,8724396,12830937,18096866,24528834,32104943,40877308,51012938,62636663,75576283,89334353,103427175,117555848,261357367,144579530,156979512,168429386,168429384,168429383,178738625,187846239,195789527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15194542, s2 = 7107160, dlinesl.size( ) = 2 s1 = 15194542, s2 = 7107160, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15194542, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 3951020, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4150947, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4153475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7651901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7651901, s2 = 624474, int(edited[s2]) = 0 s1 = 7651901, s2 = 624474, d1 = 17, d2 = 4 Dl.O(d1) = 271025898,142955904,155504807,167137647,175469069,164714442,152882150,140190593,126841986,112988004,98998310,85072647,71500512,58771078,58771077,47383995,37476579,28935027,21657110,15621863,10808783,10808784,254345388,11404540,11404541,16006448,22120133,22852681,21075694,15138801,10441142,6883178,6883181,10441151,12539298,12539297,17723600,24080773,21148510,17534495,17534492,22768851,30157184,28364484,21148543,15195127,15195126,21148536,15195133,10480909,10480910,15195135,15848655,21936281,29256967,29926716,22566565,22566564,29926714,37821833,37478956,29316235,29316236,256368450,255437430,23458674,23458672,29316259,21987967,15891564,11016779,7293503,7293506,11016789,15891583,15630142,15630143,12079682,12079680,17180191,21658405,28936859,23458860,23458859,30593590,31110628,23624332,17308858,17308857,255417965,255417967,255063851,255063853,255873477,30891459,39498694,48726585,255152680,22830357,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175131,5204154,8123049,12079850,17180445,19105281,13640868,9341014,9341015,13640870,17180410,12079819,12079821,10983823,7270428,7270430,10983830,12079664,8122936,8122938,5204113,5204112,8122971,12079732,16911013,15849166,11834680,7909254,5027890,5027891,7909297,7370054,7370057,11112300,11483039,16480504,21936701,23175198,30593846,29753913,22393363,16910845,16910844,22677495,16480532,16480531,12079814,8123028,8123027,12079811,17180399,23458897,19105299,13640876,9341019,6118537,6118539,9341024,13640885,255683753,15849077,10983933,7270485,7270484,10983932,267970545,4584994,2758474,1599127,909166,512848,512847,909164,1599126,2758470,4584988,254755877,15849101,10983950,10983951,15849102,15848855,10983773,10983775,10983788,7270407,4584939,4584940,7270416,10983806,9341174,9341173,7370195,4656006,2804958,254765131,16006624,11483046,11483045,16480514,16233544,11285644,11285645,16233548,22393385,16386380,11404992,7578815,4793750,4793749,7578813,8852074,5769167,5769169,8852079,13002578,18318094,20991522,15077953,10399983,6855626 Dl.O(d2) = 22125878,16011390,16011391,22125880,29460320,29459948,22125585,16011194,11116206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7651901, s2 = 624474, dlinesl.size( ) = 2 s1 = 7651901, s2 = 624474, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7651901, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 15699473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15699473, s2 = 13368573, int(edited[s2]) = 0 s1 = 15699473, s2 = 13368573, d1 = 17, d2 = 6 Dl.O(d1) = 38740361,257559861,68077418,55678726,44769862,44769864,55678731,68077420,81567282,72796983,60058442,48661761,42395516,33406325,25639645,25639646,33406327,42395519,52795143,60058440,60058439,72797001,72796972,60058386,48661751,38740354,38740353,48661748,256063828,51187203,41030772,41030774,51187206,51187220,43952266,34677535,26683866,20203938,20203934,26675823,19858577,14227536,9780754,6430631,4034313,4034312,3810436,3810435,6090096,9296853,13577881,19022891,25639649,33406332,42395526,52795147,64708984,77897497,91818776,106013701,120215730,134051249,147270196,159626913,170950686,181063077 Dl.O(d2) = 11282985,11282986,16230348,12153805,12153807,16383334,16383333,22562857,29922246,31473176,24033816,17682628,12505308,8471258,254863493,15927458,15921380,11043960,7318683,4620504,2782270,1613897,1613896,254338309,7137400,10802059,15612804,17325391,22031188,22020559,15919342,11041647,7316114,4618368,2780936,1613179,1613178,2780935,4618362,7316103,7308642,7308619,4612687,2777464,2777465,3235371,1897933,1897935,3235377,2786466,1616442,1616441,2786464,4626456,7325679,11050439,15911371,11032733,7825618,5031878,3046080,3046083,3446136,3446135,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000397,3000399,4965935,4792459,4792458,7577080,11027415,15905886,12119401,8150796,5222135,3185641,3185640,5222133,8150791,8151084,254832623,17236941,23544792,268672345,49721304,49253066,49253067,46837010,268953400,46897281,46897280,46897273,37018680,28520554,21299445,21299444,28520552,37018676,46897266,53946959,52400888,42056955,33107741,33107743,38808874,37547544,30728969,30728968,38210019,48120436,38511358,29947697,29947698,35099197,27012499,27012500,27012507,27012506,30728963,30728964,39326742,49253038,47826929,44423763,44423764,39702823,39702822,49721300,61199685,58841268,58841270,59955103,58776412,49253069,47826927,37905150,29336308,22005010,22005008,29336306,37905145,46897259,46897260,48729305,42056948,42056947,269351108,48562994,38647555,30071725,22691946,16490655,16490656,22691950,30071732,38647561,48563004,41976948,33033953,25307387,25307386,33033951,41976945,52317299,256953372,59955068,72693091,59954958,48562825,38647332,38647333,48562828,59954960,59537082,48563101,38647676,38647677,48562890,39365763,30764163,30071589,30071588,30071444,22691740,22691739,17463708,12311689,8315860,8315858,12311683,17463694,23796034,30071769,23648130,255162555,8238099,5310638,3260721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15699473, s2 = 13368573, dlinesl.size( ) = 8 s1 = 4114758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4114758, s2 = 7646517, int(edited[s2]) = 0 s1 = 4114758, s2 = 7646517, d1 = 10, d2 = 23 Dl.O(d1) = 153710353 Dl.O(d2) = 270835406,258114300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4114758, s2 = 7646517, dlinesl.size( ) = 32 s1 = 8507525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8507583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15919034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15919034, s2 = 9436641, int(edited[s2]) = 1 s1 = 7084948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7084948, s2 = 6245879, int(edited[s2]) = 0 s1 = 7084948, s2 = 6245879, d1 = 97, d2 = 138 Dl.O(d1) = 262336599 Dl.O(d2) = 244715921,244519778,244519779,244715922,244715919,267228096,244084026,244084027,244309765,244519779,244715922,244899462,267281890,244519777,244715917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7084948, s2 = 6245879, dlinesl.size( ) = 38 s1 = 14112515, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3964950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3964950, s2 = 15269447, int(edited[s2]) = 0 s1 = 3964950, s2 = 15269447, d1 = 0, d2 = 42 Dl.O(d1) = 143198387 Dl.O(d2) = 265247271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3964950, s2 = 15269447, dlinesl.size( ) = 48 s1 = 14659056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14659056, s2 = 7178824, int(edited[s2]) = 0 s1 = 14659056, s2 = 7178824, d1 = 8, d2 = 16 Dl.O(d1) = 25409196,33149678,31399668,269400403,270904759,129874985,143204738 Dl.O(d2) = 195225200,187155099,263629569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14659056, s2 = 7178824, dlinesl.size( ) = 12 s1 = 3966046, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4168979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4168979, s2 = 14099250, int(edited[s2]) = 0 s1 = 4168979, s2 = 14099250, d1 = 11, d2 = 45 Dl.O(d1) = 156048841 Dl.O(d2) = 263121919,175641627,273110281,140350182,140350181,153048017,153048020,140350184,126995914,126995915,140350186,153048021,262200561,164885588,164885579,153048010,140350176,140350177,262955678,126995912,140350179,153048015,263121917,263518155,175641617,175641616,185177051,185177052,175641624,263121915,164885578,262681645,153048012,262955678,126995912,140350179,153048015,262681651,263518155,175641617,175641616,185177051,175641623,164885582,153048013,153048014,164885583,263121915,164885578,153048009,140350174,140350175,126995911,113137737,113137736,260556389,99147429,85224988,85224987,99147427,99147431,113137740,260556391,99147430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4168979, s2 = 14099250, dlinesl.size( ) = 2 s1 = 4168979, s2 = 14099250, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4168979, Dl.E( ) = 46, 1.41e-05 seconds used appending s1 = 16026149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6969920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6969920, s2 = 7750699, int(edited[s2]) = 0 s1 = 6969920, s2 = 7750699, d1 = 10, d2 = 30 Dl.O(d1) = 260745797 Dl.O(d2) = 212821984,264870150,265051593,222661113,264870148,216713503,219939309,216713513,264354464,208061894,208061896,202288517,264052680,195421479,187390200,178161692,263260133,195421475,202288512,264576749,216713510,216713511,216713506,212821988,264052682,202288526,202288521,195421481,195421480,202288519,195421483,187390202,178161693,178161694,187390203,195421485,202288525,208061907,212821987,216713506,212821988,264052682,195421488,187390204,187390203,195421485,202288524,208061905,212821986,265051593,222661113,264870148,216713503,219939309,216713513,264354464,202288515,195421477,187390199,178161692,263260133,195421475,202288512,264576749,216713510,216713511,216713506,212821988,264052682,195421488,187390204,187390203,195421484,202288523,208061903,264826231,219939310,274363703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6969920, s2 = 7750699, dlinesl.size( ) = 2 s1 = 6969920, s2 = 7750699, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6969920, Dl.E( ) = 32, 3e-05 seconds used appending s1 = 8633916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8633916, s2 = 14925856, int(edited[s2]) = 0 s1 = 8633916, s2 = 14925856, d1 = 92, d2 = 73 Dl.O(d1) = 264827489,264670026,167741522,156138989,156138990,167741523,262836939,167741516,156138985,143604374,262366829,178194948,187419067,195445625,202310217 Dl.O(d2) = 30916460,255324828,5209968,3178572,3178570,5209959,6914473,10487111,15204217,15719192,21778258,22091119,22091533,29422188,22091860,15984595,11096869,7359433,4648882,2800324,1624433,923678,923681,1624439,2800336,4648908,254764509,15984699,11096931,7359468,7359469,11096933,15984700,22092042,22129119,16014276,16014278,12039595,8093939,5185475,3163561,3163562,5185478,8093944,12039600,17131767,17515654,255055078,31048239,23564030,22092316,15984883,11097026,7359513,7359512,11097025,15984878,21778352,21778353,29076251,255588224,28832422,21561765,254536658,7100882,4470823,2686139,1556025,1556028,1555991,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879853,4778679,7556286,4778157,2879584,2879583,4778153,7556279,8206347,5277157,5277156,8206345,12174570,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,16343980,254347036,16330187,16357884,11383745,7563068,4782235,2881760,1672182,1672183,2881761,4782236,7563069,11383747,16357892,22530516,23568082,17256580,17256581,23568084,17341600,12215239,12193755,8224137,8224135,9966022,9966026,6549993,6549994,9966088,14484702,20188080,27086291,24118464,17757365,17757366,254105352,22498744,29861589,23615249,22031262,15929772,15929771,254395820,16697088,16694555,11655581,7767134,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545207,8210112,8210110,12178488,11354523,11354524,16320534,11354685,7544266,4771685,4771684,7544260,11354674,16320760,22494394,29858325,25082801,18538882,18538881,25082799,268001232,29864109,22502084,16327788,11359441,11359440,16327786,22497726,16323623,11356491,11356490,11346414,7539790,4769438,2875219,2875220,4769444,7539802,11346438,16307671,254582644,11343100,16302294,11347318,7540272,4769668,2875336,2875335,4769666,7540265,11347306,11347990,7540639,4769853,4769854,2876050,2876049,4771083,7543018,11352404,16317257,22490318,22019725,16318036,16318035,22491303,29842495,22678240,16481176,11483561,11483560,16481172,22678236,22489025,16316158,11351715,7542692,7542693,11351811,16316327,22489202,22917795,17276555,16307512,11346320,11346321,7542930,7542931,11352248,11345984,7539545,4769320,4769236,2875200,1669064,949807,535737,300438,300440,535744,949823,1669088,2875260,4769512,7539932,11346676,16308039,16221161,16221160,16324096,16324097,22498202,22777041,16561884,11544442,11544444,15330043,15330044,16308312,16308313,16315211,22487937,28516715,29842190,22476893,16306361,16306363,16684112,11645973,7758695,254370764,16684118,22917801,17274778,17274779,16304603,14421208,14421209,20110134,22014306,15995063,11103747,11103750,15995075,21297909,15927622,15927621,15328115,15328116,16334825,17513205,21297221,15329919,10587905,10587904,11693089,11693086,11693076,7798600,7798598,11693072,16736574,17277324,23589099,22776929,22776928,27232025,20302879,20302878,16309213,11347396,11347397,16309217,22480340,22526395,22526394,29351642,22020193,22020192,29351152,22019600,22019599,21081817,21081819,28287894,30023403,23570376,22650426,16458998,11467996,11467994,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556143,11373837,12071600,12071604,17168369,17321432,23632378,21569004,15546735,10752435,10752436,15546738,16344211,17295886,254247840,7555424,7555423,11372757,16344690,22518069,23661817,17344817,254584042,12171183,12171184,17292355,22389168,16230206,11282856,7489844,7489842,11282849,16230197,22389159,17291072,17291073,12198074,11143399,7391305,4669636,4669637,7391310,11143407,8229446,5300858,5300860,7550441,11364779,11360903,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088317,3246381,3246382,5295295,8224907,12141960,12141959,12135246,8165231,5235033,5235035,8165234,12135251,17255108,23566469,31050635,29860328,22497088,22497087,23362802,24002944,31079804,23660515,20127138,14435212,14435209,15156203,10452464,6890265,4325541,4325545,4770176,4770178,7541302,7541299,11349329,16312347,22479134,22479135,26044490,26044487,22083129,22083126,17343676,17343674,22488596,16315792,11351499,11351497,16315782,13850884,12166859,12166860,17287866,23600498,22391688,16232456,16232457,13851761,13851759,19364608,19364609,19365402,22390747,29749418,22389770,22389771,29749501,22506543,17092530,12005465,8060948,5153308,5153309,8060951,254088686,23361293,30786557,28354608,21140358,15189197,10477054,6907923,4338647,2597448,1498411,1498412,2597451,4338656,6907939,10477074,15189219,21140384,23621941,23621939,31107040,39388815,39388814,36856188,36856189,41657258,41657257,255545704,28136694,36610440,28358392,28357145,28357146,28355135,21140866,21140865,28355128,36852711,39786769,257045824,36854093,36854092,39786653,39786652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8633916, s2 = 14925856, dlinesl.size( ) = 66 s1 = 7087539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2965788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2965788, s2 = 7115365, int(edited[s2]) = 0 s1 = 2965788, s2 = 7115365, d1 = 23, d2 = 10 Dl.O(d1) = 88418392,259541151,260752839 Dl.O(d2) = 193791181,185527966,262768790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2965788, s2 = 7115365, dlinesl.size( ) = 2 s1 = 2965788, s2 = 7115365, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 2965788, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 3763879, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3976557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6970987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6970987, s2 = 8591687, int(edited[s2]) = 0 s1 = 6970987, s2 = 8591687, d1 = 1, d2 = 1 Dl.O(d1) = 260758635,143760470,272915309,167060895,167060894,160129674,160129675,157321752,157321751,262376128 Dl.O(d2) = 260758635,143760470,272915309,167060895,167060894,160129674,160129675,157321752,157321751,262376128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6970987, s2 = 8591687, dlinesl.size( ) = 2 s1 = 6970987, s2 = 8591687, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6970987, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7087959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3258950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14176415, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1294004, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3982180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3982180, s2 = 13540289, int(edited[s2]) = 0 s1 = 3982180, s2 = 13540289, d1 = 1, d2 = 24 Dl.O(d1) = 144422078 Dl.O(d2) = 127424125,258501862,164699126,162077049,149863103,149863105,257284218,142417034,129043154,115115960,115115961,129043155,142417037,155062071,149863259,143093462,143093465,155645010,167276572,259428262,258804152,260044900,261229956,133854362,270866250,91531524,77600692,77600693,91531526,105754667,260054412,147097630,159471296,170808770,180935612,273224514,261945112,140170404,260243294,98977783,258371800,58752887,58752888,71481475,85052814,71481481,71481484,85052835,98977821,98977836,98977832,112966928,126820687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3982180, s2 = 13540289, dlinesl.size( ) = 2 s1 = 3982180, s2 = 13540289, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3982180, Dl.E( ) = 32, 1.12e-05 seconds used appending s1 = 6972202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6972202, s2 = 3455064, int(edited[s2]) = 0 s1 = 6972202, s2 = 3455064, d1 = 79, d2 = 8 Dl.O(d1) = 260785827,144536061 Dl.O(d2) = 114260158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6972202, s2 = 3455064, dlinesl.size( ) = 56 s1 = 15702893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4179486, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14109095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4668456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8701068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4183786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342638, s2 = 8261238, int(edited[s2]) = 0 s1 = 11342638, s2 = 8261238, d1 = 7, d2 = 8 Dl.O(d1) = 186687374,263952257,207594450,212416899,216361187,219632021,219632022,219632023,265418695,224765044,222394423,219632020,216361182,212416897,212416896,216361180,216361179,274286419,222394416,219632016,216361178,274205603,222394417,224765041,226822393,228616236,230193505,266136933,233989046,233989035,233989036,235025934,235969550,235025938,233989045,232851145,231594237,230193503,230193502,231594235,232851141,266247081,235025936,235969553,236829017,236829014,236829015,237610429,237610432,237610431,238321262,238968082,238968083,239562669,239562670,240111643,240111645,240620595,241092367,240620597,240111647,240111646,240620593,241092366,241530344,241935569,241935570,242310093,242656912,242310094,242310095,242656915,242980572,243283126,243565828,243283130,242980574,242980573,243283128,243565829,243349647,243052054,243052053,274918526,242394574,267062962,241198424,240733045,240230597,266759624,238464194,237766202,236998232,236998231,236157124,235234479,234220754,233105335,231871688,230500994,228960772,227216057,225218974,222921388,264850302,213321135,208696436,263684450,169200275,157762616 Dl.O(d2) = 105029077,90849426,257151206,25101736,25101738,27139837,35235224,44617143,46900515,37022720,37022721,31328352,23837003,17497352,12337217,12337216,256015555,40006429,40006428,40006429,50025009,257097114,256041898,6990897,6990896,10474679,10474682,6990826,4393012,4393011,3878782,3878783,6197349,9452787,13786863,17727810,17727811,24085119,28435617,22181681,19227785,13735762,9410117,6165410,3857890,2311290,1340933,1340923,1340924,765834,765835,1340975,2311363,3858012,6165613,254608292,11560395,7693382,7693383,11560396,16580109,12252649,8275027,8275028,8259362,5328613,3275351,1926504,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557612,12608765,12601191,8551363,5549416,5549418,8551369,12601202,17770004,12628686,12628687,17790245,17790244,24157338,24167569,31590316,24086385,17729079,17729078,24086381,254274954,31589913,31589914,30848964,23418700,17723962,12539611,12539612,254075730,3423401,3423398,5537963,5544940,5544939,8546583,11815166,11815169,16886015,12597780,12597778,17744589,12555393,8512511,5511610,5511611,8512513,12555395,17744592,24103186,17817940,17731484,12544849,12544848,17731482,16056729,16056730,18337424,18337423,16894782,16894781,23156096,24086777,17729460,12543420,8502982,5503666,5503670,8502986,12543427,17729468,17788034,17716658,12533238,8494863,5496111,5496112,8494865,12533245,17716672,17812467,267802224,24118138,31591169,24087518,24087519,17818384,12615605,8563443,5560420,5560419,8563439,12615599,17818376,24186955,24163273,17795561,17795560,24163272,20150572,14455043,14455045,20150573,24088103,26442835,33069593,31588206,24083245,22664398,268110690,254591116,22664401,24082919,17725638,17725636,20151365,27043899,30157342,268958057,58444300,47067942,37175232,28656900,21413162,21413161,256323945,47067919,58444281,71166588,81144445,67678642,55339148,44493167,256222065,27029542,35116195,44493169,55339151,67678645,71166589,71166603,58444302,47067941,37175231,28656905,21413165,15424045,10662654,10662655,15424046,268383767,37175235,47067945,58444280,50461231,256580160,47067905,47067906,40119753,31440440,28656873,28656874,37175207,40423816,40423817,50461232,58444269,58444270,60295767,48901125,47142475,256580164,71262429,84836556,71851010,71166587,58444286,47067926,37175217,31440459,31440458,40119770,254897592,37794426,29232106,21915189,15832249,267970321,7262264,10971661,15832251,268395467,37794431,37794425,37794424,47715264,255625856,28656878,21913467,21913465,15830846,254754977,7261567,10970632,15830848,255625867,12986794,12986795,18296142,23948797,23948796,31150181,23663276,254433002,8249514,8249513,12219299,13243956,9044221,9044220,13256011,18643307,17603169,12425226,8397826,5419187,5419186,8397825,12425224,17603168,23948807,31440442,40119755,32522840,32522841,40119749,50140758,40119766,254435336,23948802,25193790,25193791,255212198,41371901,41829766,41829767,32930879,32930878,40119748,41829780,41829781,32921753,254636328,22695971,22695972,21427954,21427953,25212489,25212488,32928480,32911208,32911207,29586400,29586401,30076837,22695975,16493602,255488689,30076835,37198963,37198964,268280656,41859033,255627740,34611420,34611419,43882555,54624892,66882395,72699725,72699724,257150904,72699726,258912472,72194374,85788361,257435982,77550825,64382937,52509601,43912712,42151999,42151998,255827924,58366426,267962934,254731078,48569416,48569418,52298436,61510800,64150757,77299820,71194260,70992986,58278345,46913142,46913141,58278344,70992983,84556347,72699731,59961748,48569421,41957481,33015028,25289864,18716823,255652665,33015030,41957484,47094872,47094871,58366432,46996409,37111086,28602149,21368768,21368767,28602148,37111084,46996405,58366429,50198643,40175049,254529394,17647882,12475489,8445500,8445499,10421440,10421439,15109087,20148588,14453513,14453514,20148590,19702237,14126799,9718944,9718946,14126803,19702246,14332176,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,4012673,4012675,4051488,6466299,9845437,14332088,14332028,9845405,6466290,6466291,6466432,4051540,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713569,7459408,254399536,21793226,21793200,21793202,15734523,254267826,16219353,16219352,254503288,23301224,30718546,29848350,22482789,17450354,12301127,12301126,17450352,16458573,267744008,4826161,4826162,7627946,11467699,254160078,15026184,267883942,6818435,4277075,2557194,1472892,833009,469690,264060,254096557,833001,1472873,2557160,4277000,6818332,10353906,15026098,255793939,256218498,15016972,10344964,6810701,4271689,2553938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342638, s2 = 8261238, dlinesl.size( ) = 14 s1 = 10214004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7233117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7124191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7124191, s2 = 11011228, int(edited[s2]) = 0 s1 = 7124191, s2 = 11011228, d1 = 67, d2 = 91 Dl.O(d1) = 262894470 Dl.O(d2) = 80330600,86662172,86662171,73057138,73057137,60316104,255240782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7124191, s2 = 11011228, dlinesl.size( ) = 2 s1 = 7124191, s2 = 11011228, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7124191, Dl.E( ) = 114, 4.41e-05 seconds used appending s1 = 13329851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8472013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4193639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4193639, s2 = 870154, int(edited[s2]) = 0 s1 = 4193639, s2 = 870154, d1 = 15, d2 = 4 Dl.O(d1) = 158647726 Dl.O(d2) = 22265863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4193639, s2 = 870154, dlinesl.size( ) = 2 s1 = 4193639, s2 = 870154, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4193639, Dl.E( ) = 74, 2.6e-05 seconds used appending s1 = 6975736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15425223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15873953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4197245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16125015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16125015, s2 = 14101822, int(edited[s2]) = 0 s1 = 16125015, s2 = 14101822, d1 = 6, d2 = 3 Dl.O(d1) = 237809584,237047132,236212406,235296914,234292370,233188462,231967999,230612552,229091273,265633689,223136056,265085119,213748470,209252841,203772602,263706275,159125008,146750398,133494028,119622059,105385508,91163450,77245137,64098819,52250413,41912590,32972761,25250191,18679409,13286550,9069678,5930676,3708271,2220729,1288261,735504,418178,418179,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835360,1477579,2566110,2566329,2566331,2566425,4292572,4293620,4293621,2567102,1478094,835596,835594,1478083,2567077,4227582,2528228,1457040,1457041,254321299,4277210,2557256,1472920,833021,469695,264063,264062,469693,833018,1472915,2557247,4277189,6818602,5924406,3704534,3704535,5924408,9060850,6820597,6820596,10334620,6802319,4265882,4265883,4265832,2550424,1469226,831124,831126,1469235,2550491,2559816,2760070,1599965,1599966,2760077,4587751,6768506,7677936,5950640,5950639,9095618,8594221,7671448,7671446,8594204,10304264,9089742,9089744,12660043,12660040,15610019,15000020,10364756,8130766,5209217,5209214,8130754,10300671,6785880,4254016,4254013,6785865,10315675,12091477,12091476,17195421,23477933,30914801,39525318,49458956,60861946,59884260,48492341,48492342,59884262,48492343,38578744 Dl.O(d2) = 86050664,100013904,99752039,85798079,72203860,59466083,48075149,38162326,29595773,22246848,16109490,11189711,11189710,16109489,22246846,29595772,38162325,48075148,59466079,48075145,48075144,53775431,65835619,79197696,93328709,107756502,122166716,122166715,136134012,136134011,149387226,161680253,172839821,182740754,191394764,198841980,205148901,263148492,263897932,223618109,225270966,222981288,220324341,265034440,274116444,203229175,273886568,263616526,169591689,262329112,132622894,260704478,104623086,118803948,132622897,145842636,158213365,169591692,179790635,263689921,179790633,179790634,188771578,196558872,203229179,208823615,213422917,217189750,220324344,222981290,225270968,265779821,230532918,231898481,233128039,233128038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16125015, s2 = 14101822, dlinesl.size( ) = 2 s1 = 16125015, s2 = 14101822, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16125015, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 14122772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4007797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8497043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7185011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4011413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11388032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16316963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6978306, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4014514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2711989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6784084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084565, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7079175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14955605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14955605, s2 = 16394639, int(edited[s2]) = 1 s1 = 8564430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6979881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4020090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8751586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8751586, s2 = 4213520, int(edited[s2]) = 0 s1 = 8751586, s2 = 4213520, d1 = 4, d2 = 3 Dl.O(d1) = 262373591,178278418,187489290,195505290,190023374,181168462,181168459,171074262,159767321 Dl.O(d2) = 262950545,159767331,147421900,260894451,91977088,91977089,106174726,259056825,64853578,269349154,13640606,9340797,9340798,12634930,8578728,8578729,12634933,13547444,9364600,9364599,254658833,254207003,1328382,2289533,3821446,6107532,9323909,13616810,19036696,13588638,13588642,19036685,21156414,21156413,28373590,25765261,25765260,33513492,25734233,19101527,19101528,25734236,29058234,32098997,32098998,40870792,42608769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8751586, s2 = 4213520, dlinesl.size( ) = 2 s1 = 8751586, s2 = 4213520, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8751586, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10178677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4213977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4213977, s2 = 11369533, int(edited[s2]) = 0 s1 = 4213977, s2 = 11369533, d1 = 1, d2 = 1 Dl.O(d1) = 181293219,171256044,160019442,147756021,147756020,134625374,134625375,120828589,120828588,120828591,106580804,106580805,106580808,106580801,92282967 Dl.O(d2) = 181293219,171256044,160019442,147756021,147756020,134625374,134625375,120828589,120828588,120828591,106580804,106580805,106580808,106580801,92282967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4213977, s2 = 11369533, dlinesl.size( ) = 2 s1 = 4213977, s2 = 11369533, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4213977, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7009090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8380485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3034945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3034945, s2 = 1399567, int(edited[s2]) = 0 s1 = 3034945, s2 = 1399567, d1 = 27, d2 = 44 Dl.O(d1) = 92441066,271581791 Dl.O(d2) = 65318243,65318244,70365992,57674326,257386605,36472122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3034945, s2 = 1399567, dlinesl.size( ) = 2 s1 = 3034945, s2 = 1399567, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 3034945, Dl.E( ) = 46, 2e-05 seconds used appending s1 = 6981092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6981092, s2 = 7494462, int(edited[s2]) = 0 s1 = 6981092, s2 = 7494462, d1 = 21, d2 = 27 Dl.O(d1) = 260911715 Dl.O(d2) = 267207183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6981092, s2 = 7494462, dlinesl.size( ) = 2 s1 = 6981092, s2 = 7494462, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6981092, Dl.E( ) = 44, 3.7e-05 seconds used appending s1 = 4219334, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14595253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14595253, s2 = 14102152, int(edited[s2]) = 0 s1 = 14595253, s2 = 14102152, d1 = 2, d2 = 0 Dl.O(d1) = 274531052,233104260,232122204,230784071,229283299,227585512,225644741,223413412,264607684,209755087,204366888,197908054,190329884,181553525,171556236,160354165,148110988,134988677,134988678,121180044,106913238,92594602,78547004,65256657,53266938,42814000,42813999,255632562,78547001,92594600,106913236,121180040,134988676,148110986,160354164,169491476,158083591,145683723,132438963,118599205,104415082,104415083,118599208,260188088,260188090,138796080,125468125,118599202,118599203,132438952,145683711,151496546,138796077,125468123,125468124,138796078,138796075,125468122,111666860,111666858,107061703,107061704,121358488,135209150,148378288,260785190,160643526,158083599,145683733,132438978,132438977,261049144,169491479,179715015,263057930,203191860,208790875,213392932,213392929,208790872,204504729,204504728,263663604,209862528 Dl.O(d2) = 196514325,188715126,188715125,188715113,179715010,169491473,158083589,145683720,145683715,132438954,132438956,118599217,118599218,118599288,132439031,145683779,261309329,102149833,258901581,61761378,50281915,257087363,31574071,24068572,24068573,25054629,18517084,13156501,13156500,18517082,25054626,25054621,25054619,32745562,41655795,51963232,63778478,70739020,84290413,74832660,74832659,88465857,102469241,116567861,130407313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14595253, s2 = 14102152, dlinesl.size( ) = 2 s1 = 14595253, s2 = 14102152, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14595253, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 10241662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8448939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4032180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11289756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10220688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10220688, s2 = 8633765, int(edited[s2]) = 0 s1 = 10220688, s2 = 8633765, d1 = 139, d2 = 147 Dl.O(d1) = 149399279,136150297,122188752,122188753,136150299,149399281,262018440,107784690,107784689,272057027,149399300 Dl.O(d2) = 262545565,149399269,149399268,263000195,172847610,182746994,264108819,191399872,182747009,172847626,161689722,149399333,136150345,122188792,107784708,260353943,122188737,107784668,93363397,79236133,259105065,65872153,53804259,43279418,43279419,53804264,65872160,79236146,93363419,260353941,136150328,136150342,149399330,149399358,136150364,122188801,260325430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 4036810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4228461, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7145847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7145847, s2 = 11470655, int(edited[s2]) = 0 s1 = 7145847, s2 = 11470655, d1 = 5, d2 = 6 Dl.O(d1) = 263188568,271356442,260044724,260644824,261220672,272876162,210463037,214709958,274288121,263270694 Dl.O(d2) = 177553243,186842028,194936457,186842019,177553237,167046433,167046432,259428084,136277693,136277694,149543333,271356444,261220672,262279786,207695158,263579452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7145847, s2 = 11470655, dlinesl.size( ) = 2 s1 = 7145847, s2 = 11470655, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7145847, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15605929, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4053413, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14106680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4039178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7689359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7689359, s2 = 6925189, int(edited[s2]) = 0 s1 = 7689359, s2 = 6925189, d1 = 16, d2 = 17 Dl.O(d1) = 272619417,161929262 Dl.O(d2) = 260153882,262369137,261321886,262838808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7689359, s2 = 6925189, dlinesl.size( ) = 24 s1 = 4230648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4230648, s2 = 11321328, int(edited[s2]) = 0 s1 = 4230648, s2 = 11321328, d1 = 25, d2 = 61 Dl.O(d1) = 161930066,149633709,149633708 Dl.O(d2) = 156001434,262503192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4230648, s2 = 11321328, dlinesl.size( ) = 2 s1 = 4230648, s2 = 11321328, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4230648, Dl.E( ) = 62, 2e-05 seconds used appending s1 = 8665333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3597132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16077761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16077761, s2 = 3961763, int(edited[s2]) = 0 s1 = 16077761, s2 = 3961763, d1 = 12, d2 = 5 Dl.O(d1) = 87158855,73540511,60793270,49392680,49392681,60793273,73540513,260084631,261258613,142542030,155185568,262787511,162124426,149912658,136777344,122947241,108682185,94395101,80340688,66914256,54657468,43914770,34641379,26649887,19836309,19836308,19836303,14210431,9769076,6423065,6423064,9769071,14210421,19836288,26649860,30904331,33508400,30370602,22969089,16733195,11690499,11678894,7787400,7787399,11678891,16720555,16722549,11680943,7789134,4938541,4938540,7789132,11680939,16722542,18762320,13360346,13360345,18762319,25342690,255320824,256210424,23824313,256014349,12329905,8329280,5375727,3305584 Dl.O(d2) = 256014347,23824312,31313309,39989969,50007809,61486002,74263207,87865323,101837845,115882665,261288219,143110819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16077761, s2 = 3961763, dlinesl.size( ) = 2 s1 = 16077761, s2 = 3961763, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16077761, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 15118713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6906843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6906843, s2 = 12309038, int(edited[s2]) = 0 s1 = 6906843, s2 = 12309038, d1 = 69, d2 = 97 Dl.O(d1) = 259958466 Dl.O(d2) = 264029756,229083369,274575603,230605918,274648597,231961952,264608196,227358633,264334020,263689086,217398119,220489067,223116941,273913222,264608194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6906843, s2 = 12309038, dlinesl.size( ) = 52 s1 = 8689382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8689382, s2 = 4333798, int(edited[s2]) = 0 s1 = 8689382, s2 = 4333798, d1 = 38, d2 = 24 Dl.O(d1) = 260393469,137269920,150310841,162446700,173488556,183293591,183293588,173488553,162446697,150310839,150310841,162446702,173488561,183293595,191865520,199238529,205477148,210638248,205477149,199238533,191865523,191865522,264124969,191865533,191865529,183293599,173488564,173488552,162446697,150310839,150310841,162446701,173488559,263429803,173488551,173488550,183293587 Dl.O(d2) = 264553453,264113878,177563855,167057891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8689382, s2 = 4333798, dlinesl.size( ) = 18 s1 = 4237280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4047052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16243815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8694347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8483035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8483035, s2 = 6985866, int(edited[s2]) = 0 s1 = 8483035, s2 = 6985866, d1 = 29, d2 = 18 Dl.O(d1) = 137347089,137347091,123614493,123614492,123614487,123614488,271658429,109420324,260991445,109420244,123614417,109420264,95163790 Dl.O(d2) = 260991435,81105141,67639047,67639050,81105148,81105136,67639061,55300838,55300841,258529877,260399699,137347041,150388427,137347044,123614463,109420297 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8436373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8436373, s2 = 5764478, int(edited[s2]) = 0 s1 = 8436373, s2 = 5764478, d1 = 99, d2 = 58 Dl.O(d1) = 95168623,260400009,260991709 Dl.O(d2) = 233740667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8436373, s2 = 5764478, dlinesl.size( ) = 18 s1 = 4241326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4241326, s2 = 7185560, int(edited[s2]) = 0 s1 = 4241326, s2 = 7185560, d1 = 172, d2 = 163 Dl.O(d1) = 162574660,162574661,166892072 Dl.O(d2) = 180974492,263724961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4241326, s2 = 7185560, dlinesl.size( ) = 78 s1 = 4242803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4242803, s2 = 9666020, int(edited[s2]) = 0 s1 = 4242803, s2 = 9666020, d1 = 32, d2 = 54 Dl.O(d1) = 162621373,162621374 Dl.O(d2) = 225351394,227328724,229056806,227328723,227328721,229056805,265823046,229056805,230582250,266625791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4242803, s2 = 9666020, dlinesl.size( ) = 20 s1 = 11334422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15608931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9687376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9687376, s2 = 16205232, int(edited[s2]) = 0 s1 = 9687376, s2 = 16205232, d1 = 13, d2 = 15 Dl.O(d1) = 2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047757,2423316,2423313,4045143,2422533,2422530,4045169,6452668,9821765,14297678,19969296,26840633,34905410,44268912,39624752,39624753,43779433,43779432,54077230,54077231,43779405,43779404,54496390,66204513,54084094,43506072,34368396,26470046,26470049,34368452,43506193,49639230,39648137,30991783,23523307,23523304,26513038,34447267,39648017,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9830717,6458103,4047665,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909083,14261233,14261230,19909131,26750300,34780288,44109421,54920691,61036483,49590617,39612802,39612801,49590610,61036469,73809371,67097064,67097066,79735669,66335869,66335870,76796848,76796849,66330867,54178077,43566119,34402902,26489036,19729593,19713349,14133671,9722868,6402168,6397233,6397234,9725557,14138878,19723737,26447195,34324960,34329670,43435875,52657931,52657928,64557793,54571872,256719403,26572670,26572671,34558293,43829329,54571882,62573268,62573269,55063795,44232447,34877687,26821109,26821105,34877662,39664178,39664176,49664443,54221693,54221692,64232798,77383202,80547753,80547754,80970212,80970211,93960915,79871059,66469682,66469684,63397235,63397232,67090790,78487912,67117155,54819673,44037805,44037804,257894775,68578382,258567581,96135378,110303335,110303333,110303334,124376179,137963830,150867295,162894379 Dl.O(d2) = 1344232,2318578,2341493,2341785,2341786,3911493,6248039,7812731,4955877,4955878,7812733,11710745,16757545,16757546,22996695,30400930,30400929,30400928,38988859,48910775,40766238,32010332,24450100,18032864,12782261,12782260,18032861,13040042,13040040,12798840,8701777,254426349,3522875,5664199,8701778,12798842,18053638,24474322,32037408,40795132,257705699,50912290,62512616,75431152,89178049,260184497,117395992,261351567,144428594,156838698,262859303,187775370,184141957,174497311,163664168,151789236,259267228,111924722,97985341,84110558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9687376, s2 = 16205232, dlinesl.size( ) = 2 s1 = 9687376, s2 = 16205232, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9687376, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 6759540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6759540, s2 = 7295620, int(edited[s2]) = 0 s1 = 6759540, s2 = 7295620, d1 = 45, d2 = 52 Dl.O(d1) = 258153600 Dl.O(d2) = 265097143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6759540, s2 = 7295620, dlinesl.size( ) = 2 s1 = 6759540, s2 = 7295620, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6759540, Dl.E( ) = 76, 5.89e-05 seconds used appending s1 = 4252315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8568325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8568325, s2 = 7721049, int(edited[s2]) = 0 s1 = 8568325, s2 = 7721049, d1 = 39, d2 = 38 Dl.O(d1) = 125542071,111736002,97814053,258876626 Dl.O(d2) = 273690255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14688422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9046096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7091981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7091981, s2 = 7866798, int(edited[s2]) = 0 s1 = 7091981, s2 = 7866798, d1 = 58, d2 = 106 Dl.O(d1) = 262453843 Dl.O(d2) = 84429011,255921748,26392735,26392734,254784982,22163949,16041919,16041920,14093875,9693719,6375699,6375700,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,9770697,9770699,254549054,26390566,23397089,17125088,12034646,8090499,8090502,12034653,17125097,23391880,19065159,13610690,13610689,19065156,19660352,14092403,12573081,12573080,16916071,14092459,14087625,11837991,11837990,16915111,16914326,11837461,7911149,7911148,11837457,9688021,9688022,14084513,17121817,12032297,8089030,5182536,5182535,8089025,12032291,12030882,12030881,17120034,255113312,31227220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 4 Dl.To( xright[d2] ).size( ) = 1 s1 = 14876310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14992483, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4722363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9032900, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11401360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14717727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14717727, s2 = 9568825, int(edited[s2]) = 0 s1 = 14717727, s2 = 9568825, d1 = 16, d2 = 13 Dl.O(d1) = 1214446,2108306,3541354,5692448,8743739,12857815,12857816,18132897,24574720,32159143,40937386,51079247,62709491,75654485,89416026,103509685,260791865,144663145,262402675,178814493,263834393,273319093,163635773,151760694,261065571,111902889,97965783,84092342,70555937,57854521,258014307,74367943,61591469,50111462,268681865,17580073,12408049,8386003,5411462,5411463,8386005,8367733,5407325,5400519,5400518,3324095,3324096,3334058,3334055,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376675,8376674,7679677,7679675,8372600,5403545,3322185,3322186,5403552,5473158,8272877,5338081,5338080,8272868,12249311,13515652,13515653,17536345,12368410,8357504,8357506,12265571,10903613,7211252,4543524,4543522,7211261,10903629,12405663,8384329,8384331,12405665,9262740,6066793,6066795,6899257,6899258,10466654,12254185,17389529,17391718,23715567,21121863,15173989,10465079,6898189,4330246,4330249,6898203,10465102,12639784,12639300,12639303,12639691,255023870,17326371,17326372,23643080,23735107,23702649,17380164,17380163,23702647,31192101,31190492,23700564,23700565,31190496,37979069,31192103,31192102,39874082,49896104,61376621,74157095,87761371,93282678,79162651,258467054,257261358,268504428,26203626 Dl.O(d2) = 441325,441328,777643,1364395,2354697,3933477,6282018,9572816,255298789,19085842,19085843,25713956,25610979,25610978,33375879,42364721,258420691,53741844,53741845,65798165,79153827,271109797,271880924,127349733,114891811,100841960,100841961,114891812,102425829,102425828,116522916,130361278,143688058,155227370,142589403,259103668,101210626,87209699,73587525,60837910,256702374,48368368,38466934,38466935,38822129,38822128,36817713,28321846,28321844,33547428,33547429,39796462,31115872,31115871,39796460,49817225,40572348,39505503,39505502,41900378,34668570,26675405,19858185,19858186,16004048,16004047,22116931,20900275,14995852,10326476,10326475,14995850,20900271,28071805,31408391,31408389,34219494,37883523,37883522,255111328,48390637,48036953,39951658,38937975,30352050,30352051,32877635,32877636,34685177,43960331,38052761,256926827,59357260,72091185,85678254,99627579,113641403,127512996,140868271,153543238,165333624,176025624,185497137,193762427,200849755,206831009,211773719,264985475,216482092,264471178,201934630,195014810,186928733,177647317,167147662,155514410,261109838,115740697,101695699,87722248,258060154,256328480,23659237,17342482,12216058,8246292,5317889,5317888,8246288,12216051,17342474,254788498,31145949,24460462,254168806,8694459,5658884,3519147,2093335,1204416,1204415,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574469,8579518,254317166,20816283,16420342,15479407,15479406,16426226,16426227,22610488,28229469,22604104,16421125,14198149,9760123,6417245,6417243,9760116,12384010,17554515,23899523,19820502,19820503,22364044,16423852,11439893,11439892,14095713,19664509,25281000,25280999,26316269,22613951,16429477,11444647,11444649,16429482,17267930,17267931,254794440,17844664,12636618,12636193,8579788,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,11625989,11625992,12634112,12634113,14095844,19664662,24524323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14717727, s2 = 9568825, dlinesl.size( ) = 2 s1 = 14717727, s2 = 9568825, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14717727, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 4071055, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8570291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6991516, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9494248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7112839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4078187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4078187, s2 = 10666271, int(edited[s2]) = 0 s1 = 4078187, s2 = 10666271, d1 = 73, d2 = 79 Dl.O(d1) = 152375093 Dl.O(d2) = 257846457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4078187, s2 = 10666271, dlinesl.size( ) = 20 s1 = 13739247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7701518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4082119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3902353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13547373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13547373, s2 = 10397074, int(edited[s2]) = 0 s1 = 13547373, s2 = 10397074, d1 = 103, d2 = 42 Dl.O(d1) = 98651665,112648132,126512645,139878230,152587694 Dl.O(d2) = 221790643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13547373, s2 = 10397074, dlinesl.size( ) = 2 s1 = 13547373, s2 = 10397074, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13547373, Dl.E( ) = 120, 4.7e-05 seconds used appending s1 = 11394384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11369702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15938009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15938009, s2 = 15984122, int(edited[s2]) = 0 s1 = 15938009, s2 = 15984122, d1 = 21, d2 = 12 Dl.O(d1) = 272599703,262801345,186947889,195033460,201951644,199225000 Dl.O(d2) = 225601267,225601268,265156620,217739965,214099616,209665684,204261347,197783531,190180863,262956603,160128729,147877582,134757858,120961062,106707391,259067295,65083553,53097757,42647148,256154843,19168934,13688350,9374305,6140876,3842287,2302222,1335968,1335971,2302234,3842328,6140939,9374384,9374210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15938009, s2 = 15984122, dlinesl.size( ) = 2 s1 = 15938009, s2 = 15984122, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15938009, Dl.E( ) = 24, 1.29e-05 seconds used appending s1 = 16231966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4275031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4275850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15067881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16075785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100508, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1224719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1224719, s2 = 11328508, int(edited[s2]) = 0 s1 = 1224719, s2 = 11328508, d1 = 161, d2 = 207 Dl.O(d1) = 30884877,30884876,39491196,49420992,47354548,47354549,271778777 Dl.O(d2) = 139589629,152318202,152318200,152318201,164200626,175015515,184615269,177391507,166843830,155150750,262311485,155150753,155150747,155150748,166843826,166843828,166843827,177391504,262311487,142506732,142506731,155150753,166843823,177391500,177391511,166843833,155150754,142506732,129129644,129129643,142506730,155150752,166843832,155150754,142506732,129129644,260081861,259465337,258218099,39421805,30816515,23387071,23387073,30816517,39421810,49351479,257610427,73503482,87122233 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7106828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 147516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13656731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6996867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4102536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10355782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10355782, s2 = 10354196, int(edited[s2]) = 0 s1 = 10355782, s2 = 10354196, d1 = 42, d2 = 31 Dl.O(d1) = 264112018,172991176,165127378,153316362 Dl.O(d2) = 140637402,153316361,263131841,262550082,153316360,153316361,263131841,175849394,273492722,263420088,262559670,260375890,259132014,60775856,49374286,256485977,23411632,17136471,12043007,8096174,5186828,3164387,3164391,5186866,6116432,3826870,3826871,6116438,9314424,9280076,6123907,3831531,3831529,6123898,7971083,7971084,6113838,6113837,6095053,3813386,2284279,2284280,3813392,6095062,9304769,13589224,13569681,13569679,17275102,12154574,8185010,8185012,12042121,8095548,5186416,3164098,3164097,5186412,8095541,9361116,254937113,13638938,19035619,13587717,13587718,19035620,19113686,20990605,22433884,17542069,12373069,8360942,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,13593284,9307696,6582543,6582541,10015229,14555252,14554995,13791044,13791041,16264845,13587797,13587795,19035739,25654604,33423125,256667625,25758485,19119834,19119832,19144650,19144648,22431244,19004556,19004558,25618736,19155645,13678451,11740887,7838806,7838805,11740884,16791818,21281693,21281692,25789118,33584841,35021415,31225356,23742027,23742026,19010889,19010888,23660753,17343927,12217485,8247863,5319796,5319795,8247861,12217482,8440342,8440343,12471168,17644980,257080481,52351103,52246984,41910022,37462789,37462790,47368143,268942144,61971831,74769238,257666548,52880871,256664081,25709641,19082495,13623933,254659185,6105958,3820477,3820243,2288735,1327883,1327884,2288741,3820252,3803117,2278055,1321093,1321091,2278048,3803102,6078122,9279157,13554055,16907438,19066726,255434426,9346154,6121703,6121704,9346160,9277619,6077084,3831718,3831717,3978439,3978438,6341295,9329327,9329329,6124272,6124270,9350033,13654298,14030463,9645858,9645860,14030471,19003984,13611397,9320328,9298516,6091245,3811181,2282971,2282974,3811189,4882203,2941900,2941901,4882207,7713831,11588530,14031958,9647035,6342923,3979508,3979506,6342920,9647032,14031952,19585732,19084704,13625652,13616820,9323917,255276235,25699079,25654173,25654174,25654293,19035379,13587520,13587523,19035386,13588607,9304395,6094853,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832005,6124617,9350530,9323505,6107322,6107323,9323510,6134061,6134060,9364514,12618660,8565578,8565577,12618654,13677696,9366547,9366546,13677693,13374373,9141070,9141071,11309066,11309065,16265905,19113694,25751929,19155384,13678267,9367001,9367000,13678262,19155378,25801770,29802269,22436235,19036531,13588502,9304337,6094827,6094829,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,25660315,33428704,25660340,25660322,25660323,33383868,31289669,29802197,22436153,22436152,25718476,19089357,13628979,13628980,19089360,25718481,28714275,25718498,25682465,19059341,19059342,25601267,18989201,13550210,13550211,18989178,25601236,19035604,17253129,12133556,12133554,17253123,23564255,256044531,12651871,8590115,8590114,12651868,17815027,12612970,8561344,8561346,7424776,7424773,11190106,7424746,7424745,5329922,3276170,3276167,5329915,8261303,254503806,15516613,15516612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10355782, s2 = 10354196, dlinesl.size( ) = 20 s1 = 3899952, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9574198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14971601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14971601, s2 = 13997855, int(edited[s2]) = 0 s1 = 14971601, s2 = 13997855, d1 = 26, d2 = 21 Dl.O(d1) = 259163806 Dl.O(d2) = 223241281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14971601, s2 = 13997855, dlinesl.size( ) = 2 s1 = 14971601, s2 = 13997855, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14971601, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 4103965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4103965, s2 = 7078077, int(edited[s2]) = 0 s1 = 4103965, s2 = 7078077, d1 = 2, d2 = 39 Dl.O(d1) = 153374517 Dl.O(d2) = 261534217,262253374,9747534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4103965, s2 = 7078077, dlinesl.size( ) = 32 s1 = 4104792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4104792, s2 = 10661545, int(edited[s2]) = 0 s1 = 4104792, s2 = 10661545, d1 = 0, d2 = 26 Dl.O(d1) = 153397405 Dl.O(d2) = 242269113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4104792, s2 = 10661545, dlinesl.size( ) = 34 s1 = 4107659, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8645463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8496517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4109043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16202467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4109455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11383024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383024, s2 = 9066790, int(edited[s2]) = 0 s1 = 11383024, s2 = 9066790, d1 = 35, d2 = 30 Dl.O(d1) = 137575640,137575641,127547616,113676951,99664355,85716874,72132328,72132329,85716875,99664357,113676952,127547617,140902265,153575949 Dl.O(d2) = 34988850,256737183,34988847,44366946,55218061,52022075,41711356,32794972,25095548,20802676,20802677,27965063,256804759,257382953,70310981,83835918,72634234,59892092,48498053,38583174,30011017,22639724,16450619,11461909,255105385,22639723,22817786,16598557,11576330,7705420,4876640,4876641,4823560,4823561,7623884,7705408,11576306,16598521,22817731,30209654,38582742,48497657,59891695,72633798,60829919,49427689,39496430,30889336,23456818,254305232,18421016,24932565,19574351,254083040,6336646,3974917,3849546,3849545,2370310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383024, s2 = 9066790, dlinesl.size( ) = 2 s1 = 11383024, s2 = 9066790, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11383024, Dl.E( ) = 36, 9.06e-06 seconds used appending s1 = 15558695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4297839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4297839, s2 = 9199629, int(edited[s2]) = 0 s1 = 4297839, s2 = 9199629, d1 = 7, d2 = 9 Dl.O(d1) = 165436507 Dl.O(d2) = 17111275,23381640,30810161,39415412,49345095,47294393,255412566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4297839, s2 = 9199629, dlinesl.size( ) = 2 s1 = 4297839, s2 = 9199629, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4297839, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 4754413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14674499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7110947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15146317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15146317, s2 = 14649553, int(edited[s2]) = 0 s1 = 15146317, s2 = 14649553, d1 = 37, d2 = 38 Dl.O(d1) = 206639598,211607495,215668918,219027717,221864175,224298382,224298383,226410150,228249190 Dl.O(d2) = 64181619,77328952,91248690,105470943,119710274,133584691,146842113,159215007,261534064,170552826,161408002,161407997,149120870,149120869,161407996,261534060,165546396,261534062,261935825,132692068,132692069,145910020,145910019,145910011,132692071,118873347,118873348,118873342,118873343,132692064,145910015,145910016,260960684,136786915,147295893,260960682,108691074,94403855,94403854,80349461,257270816,43924224,43924223,54666715,66923200,80349457,94403851,258502342,80349451,66923193,66923192,80349449,66923196,54666710,54666711,65737128,53681060,43170807,43170808,43170804,34087503,34087504,43170806,53681058,65737125,79092725,93207704,257284790,79092722,93207699,107608003,107608002,111674133,111674134,111674147,97755540,83898758,83898759,83898751,70374151,70374152,83898753,97755531,270789043,70374155,57682125,46335153,36479360,36479361,46335155,57682126,70374157,83898761,259867057,258622133,57682129,46335156,36479362,28018198,256271829,46335159,259248235,111674163,125475146,138802589,151502304,138802573,260969014,142149798,260743252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4301942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4301942, s2 = 15352524, int(edited[s2]) = 0 s1 = 4301942, s2 = 15352524, d1 = 14, d2 = 0 Dl.O(d1) = 165599184,153818089,141145202,127788561,113914110 Dl.O(d2) = 4852795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4301942, s2 = 15352524, dlinesl.size( ) = 2 s1 = 4301942, s2 = 15352524, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4301942, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 7677697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16261608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4119385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4119385, s2 = 14960870, int(edited[s2]) = 0 s1 = 4119385, s2 = 14960870, d1 = 20, d2 = 35 Dl.O(d1) = 153902507 Dl.O(d2) = 129181195,261805391,157824363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4119385, s2 = 14960870, dlinesl.size( ) = 2 s1 = 4119385, s2 = 14960870, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4119385, Dl.E( ) = 40, 1.79e-05 seconds used appending s1 = 9220688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9220688, s2 = 1402196, int(edited[s2]) = 0 s1 = 9220688, s2 = 1402196, d1 = 398, d2 = 45 Dl.O(d1) = 260609497,141231292 Dl.O(d2) = 36510961 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4120147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8406040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8406040, s2 = 13776762, int(edited[s2]) = 0 s1 = 8406040, s2 = 13776762, d1 = 11, d2 = 5 Dl.O(d1) = 258149901,86130843,100098166,114132572,262732523,263167948,165835152,262732521,185921778,263913125,194143713,194143701,185921759,176491244,176491243,176491240,263559557,185921753,185921754,194143695,201186058,194143698,194143699,201186045,194143688,185921747,262732524,261741896,141390730,261741895,262732517,185921765,185921762,176491245,176491246,273553693,176491247,165835140,154065247,141390733,141390734,154065249,165835144,165835146,154065250,141390736,128022053,128022052,141390734,154065249,165835144,165835146,154065250,141390736,128022053,114132570,100098165,100098164,114132569,128022051,261741895,262732517,185921765,185921762,176491245,176491246,273553693,176491247,176491248,185921769,185921777,176491252,263167941,176491242,165835133,154065242,141390731,141390732,154065243,262732515,185921752,263559555,185921755,263167946 Dl.O(d2) = 201186056,207115355,212005761,216002198,216002202,264768426,207115349,201186053,194143692,185921750,176491232,176491233,273723640,194143702,201186066,264513313,216002201,264462230,197477792,274086936,200700367,263126170,257483698,37746102,29185040,29185041,37746104,47668092,48743045,50331507,40305399,255432648,17751580,17751582,256523636,47151401,37246059,28715045,21459313,21459314,28715046,37246061,29199930,255433741,10956740,15810998,21887501,23766866,23540666,17232511,17232510,23540230,17282416,17282415,23539558,23539560,17438926,17438927,12311092,12311093,17462968,23795185,255002418,14596938,14596937,16555053,22769112,21711848,21711847,28996519,37541850,254713968,30893703,32165994,254467302,21144910,28360191,255733000,42376667,47690909,256364183,255061437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8406040, s2 = 13776762, dlinesl.size( ) = 2 s1 = 8406040, s2 = 13776762, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8406040, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 16091899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16091899, s2 = 6051761, int(edited[s2]) = 0 s1 = 16091899, s2 = 6051761, d1 = 1, d2 = 1 Dl.O(d1) = 2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,4871325,254795581,7608935,7608934,11442462,255482887,255923583,256964097,48459265,59849948,72587831,86185537,100148441,114178752,128065569,141431093,154102220,165869593,176523986,185953090,263915693,207142449,264770507,219334376,222130174,224530641,226616118,228433759,230031694,231449281,232719434,233867385,266336553,235865004,236732447,237522973,238241082,266799903,240050449,240564323,241041402,267049077,242272523,242623321,242949867,243254499,243539169,243803259,244048498,267367209,245045756,245208992,245361972,245505815,245641118,245766593,245884200,245994996,267519337,267529933,246379277,246462743,246541922,246575910,246498840,246418031,246332214,246241077,246144027,246042744,245934916,245820463,245699276,245569377,267446169,245282807,245124671,274992429,244583997,244378285,244156554,243918444,243662992,243388136,243093644,242779939,242442849,242079782 Dl.O(d2) = 2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,4871325,254795581,7608935,7608934,11442462,255482887,255923583,256964097,48459265,59849948,72587831,86185537,100148441,114178752,128065569,141431093,154102220,165869593,176523986,185953090,263915693,207142449,264770507,219334376,222130174,224530641,226616118,228433759,230031694,231449281,232719434,233867385,266336553,235865004,236732447,237522973,238241082,266799903,240050449,240564323,241041402,267049077,242272523,242623321,242949867,243254499,243539169,243803259,244048498,267367209,245045756,245208992,245361972,245505815,245641118,245766593,245884200,245994996,267519337,267529933,246379277,246462743,246541922,246575910,246498840,246418031,246332214,246241077,246144027,246042744,245934916,245820463,245699276,245569377,267446169,245282807,245124671,274992429,244583997,244378285,244156554,243918444,243662992,243388136,243093644,242779939,242442849,242079782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16091899, s2 = 6051761, dlinesl.size( ) = 2 s1 = 16091899, s2 = 6051761, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16091899, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 9511415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9511415, s2 = 7112840, int(edited[s2]) = 0 s1 = 9511415, s2 = 7112840, d1 = 0, d2 = 0 Dl.O(d1) = 37283020,39635352,34825436,34825437,39620022,30973453,268667953,23497797,23497798,30944534,39568304,49518467,53974750,43437318,34330468,26450087,19708938,254960793,9721703,14131447,14131456,14131454,19708962,20791223,20791221,27950076,36403824,46248789,36403982,36403981,36403986,46249158,57583032,70264022,61896358,61896359,54442014,54442018,54324221,54324224,66508247,66992250,54763304,44003032,44003037,49583453,39608379,30966679,23509738,17215520,17215519,23509722,23509721,17215568,17215569,17229057,12111691,12111689,17229104,23535930,31015173,39689457,49704541,61180074,66491187,54310130,43656766,34457952,26519058,19744446,14148952,14148956,19744426,26518309,26518310,26519551,34459053,43658624,54312633,66493988,78584810,66495954,66495952,79434963,93572069,79882413,79882415,77933412,64741141,64741142,52824311,42421896,33430729,25662140,25662143,33430736,42421712,42421714,52824017,64739311,52823216,42421300,33430451,25662020,19042712,19042711,25662014,33430436,33432472,30953968,23503095,17212184,12102824,12102823,8140285,5215156,5215158,3181495,3181493,5215211,8140414,12105457,17217263,23512916,30972335,39618094,36775159,36774981,36774983,28279102,28279100,36775040,46660401,58033112,66169231,57533575,46217087,46217089,36385756,36385757,46217101,44109301,34780219,34780220,44109303,54920524,59894272,48500265,48500264,59894270,59894269,59894270,72636400,259406543,114241404,261085668,128128199,141489434,262262295,262738559,185988523,193777833,263893481,185513503,176043499,165353198,153564023,140889710,272206830,113662659,99648871,85700058,85700057,93773178,257949458,54136565,43540430,34388176,26480874,19725004,14139593,9725888,9725885,14139574,19724951,14270716,14264668,9805176,6444456,4041602,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358847,43488695,41557207,32665616,32665619,39546784,30931300,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421266,4041599,6444500,9805590,14268721,19921438,26769429,34807314,44143534,54960420,46716458,256298725 Dl.O(d2) = 37283020,39635352,34825436,34825437,39620022,30973453,268667953,23497797,23497798,30944534,39568304,49518467,53974750,43437318,34330468,26450087,19708938,254960793,9721703,14131447,14131456,14131454,19708962,20791223,20791221,27950076,36403824,46248789,36403982,36403981,36403986,46249158,57583032,70264022,61896358,61896359,54442014,54442018,54324221,54324224,66508247,66992250,54763304,44003032,44003037,49583453,39608379,30966679,23509738,17215520,17215519,23509722,23509721,17215568,17215569,17229057,12111691,12111689,17229104,23535930,31015173,39689457,49704541,61180074,66491187,54310130,43656766,34457952,26519058,19744446,14148952,14148956,19744426,26518309,26518310,26519551,34459053,43658624,54312633,66493988,78584810,66495954,66495952,79434963,93572069,79882413,79882415,77933412,64741141,64741142,52824311,42421896,33430729,25662140,25662143,33430736,42421712,42421714,52824017,64739311,52823216,42421300,33430451,25662020,19042712,19042711,25662014,33430436,33432472,30953968,23503095,17212184,12102824,12102823,8140285,5215156,5215158,3181495,3181493,5215211,8140414,12105457,17217263,23512916,30972335,39618094,36775159,36774981,36774983,28279102,28279100,36775040,46660401,58033112,66169231,57533575,46217087,46217089,36385756,36385757,46217101,44109301,34780219,34780220,44109303,54920524,59894272,48500265,48500264,59894270,59894269,59894270,72636400,259406543,114241404,261085668,128128199,141489434,262262295,262738559,185988523,193777833,263893481,185513503,176043499,165353198,153564023,140889710,272206830,113662659,99648871,85700058,85700057,93773178,257949458,54136565,43540430,34388176,26480874,19725004,14139593,9725888,9725885,14139574,19724951,14270716,14264668,9805176,6444456,4041602,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358847,43488695,41557207,32665616,32665619,39546784,30931300,23529692,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421266,4041599,6444500,9805590,14268721,19921438,26769429,34807314,44143534,54960420,46716458,256298725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9511415, s2 = 7112840, dlinesl.size( ) = 2 s1 = 9511415, s2 = 7112840, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9511415, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 8500511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8500511, s2 = 9294859, int(edited[s2]) = 0 s1 = 8500511, s2 = 9294859, d1 = 11, d2 = 13 Dl.O(d1) = 59952135,72690419,86288575,100251731,114282210,128165866,141524007,154187503,165947051,273361393,186015069,194228248,201263591,207185403,212069134,216058813,219364121,222157033,224555077,226638147,228454028,230050026,231466032,232734644,232752150,231485986,231485987,232752151,233896855,234939941,234939944 Dl.O(d2) = 228480601,226668748,226668744,226668745,226668746,224589397,224589396,226668745,226668747,224589397,265025996,216103891,216103890,264798726,207239521,207239520,212118114,265214763,216103893,212118113,212118114,264546462,207239521,201323423,194293825,186086408,176670184,263572937,262784796,154276682,154276681,141620843,128270308,128127728,260680688,114394037,114394038,114394032,114394033,128270301,259465208,86414774,258840764,86414771,100370745,271372386,114394050,100370748,258217970,60082245,60082247,72819682,86414775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8500511, s2 = 9294859, dlinesl.size( ) = 6 s1 = 7118748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4312050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4312050, s2 = 6762010, int(edited[s2]) = 0 s1 = 4312050, s2 = 6762010, d1 = 22, d2 = 37 Dl.O(d1) = 166005087 Dl.O(d2) = 40461493,38825230,30241972,22848329,16624306,16624305,255942841,258176341,86472312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4312050, s2 = 6762010, dlinesl.size( ) = 14 s1 = 4312284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16394045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15629499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9146945, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11455698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8536482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8536482, s2 = 15314506, int(edited[s2]) = 0 s1 = 8536482, s2 = 15314506, d1 = 38, d2 = 53 Dl.O(d1) = 273785453,154438143,154438142 Dl.O(d2) = 46894993,37015589,28516282,28516287,30445249,39034658,48284701,267946734,20047451,267817508,14360882,9872518,6485623,4064007,2432099,1406742,1406745,2432094,4063990,6485587,6494196,6494194,9884139,14378124,20041073,20041070,26926514,35008235,30916668,23479663,17196793,12092526,8132080,5210032,3178602,3178605,5210043,8132099,12092532,17196966,22091701,21823282,21823284,15984489,11096806,7359398,7359397,11096798,15718709,15718708,14362939,9869665,9869666,14362941,20048668,26934849,28445858,21219777,21219776,28445854,24080293,17723131,12538950,8500253,5501912,3391503,3391502,254419641,3456369,254410409,3380014,5489323,5501484,3391000,3391003,3422306,3422307,3391025,3391026,2005714,1146596,643215,356997,195575,195574,356972,356976,360077,359921,197081,254090253,107149,107146,196371,358562,646161,1151836,2013842,3412225,3429701,3035753,3035752,5017889,3402492,3039109,1769600,254128825,546038,546039,969523,1705578,1636102,1636103,2023813,3425423,5499442,5539378,5539377,254608975,3408581,2011029,2011030,3408584,5519349,5519348,5520692,3407527,2010224,1181328,663509,267740987,109973,109974,201563,368061,663518,1181336,2058780,3471295,3430820,3430821,3417123,3417124,3731966,3378166,3378167,2009404,1295803,1295804,2234444,3732077,3376213,1987147,1135307,1135308,1987155,3376232,2047318,2047317,3416053,5499519,3453340,2046333,1173355,658667,658663,659223,1174308,2047853,3302098,3302096,3444015,5014576,3408575,2011027,1150030,645133,645134,1150032,2011031,3408585,5354908,5499035,5536824,5507222,3395904,3395902,5507217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8536482, s2 = 15314506, dlinesl.size( ) = 40 s1 = 7093482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093482, s2 = 8465793, int(edited[s2]) = 0 s1 = 7093482, s2 = 8465793, d1 = 18, d2 = 13 Dl.O(d1) = 262471800,261972558 Dl.O(d2) = 259028670,88175870,88175871,102166530,116227359,271540196,262829529,178081035,264573567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093482, s2 = 8465793, dlinesl.size( ) = 12 s1 = 7004645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7004645, s2 = 16135538, int(edited[s2]) = 0 s1 = 7004645, s2 = 16135538, d1 = 58, d2 = 90 Dl.O(d1) = 261227881 Dl.O(d2) = 141053054,127703427,113834067,99818909,256922180,59540867,48154595,47885408,44494846,36932326,28433554,21209437,21209438,28433556,36864583,46319235,37840667,29274149,28978074,23676618,17356582,15198865,10482976,8255138,5325498,5325493,6910658,6910656,10481489,15196057,21149939,28366265,28369113,21152299,17516487,15196741,15196738,21151077,23801833,21150291,21150296,21152902,21152905,28369800,29339353,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911013,10482221,15197441,21152179,28368972,36866539,46746379,36866060,36866061,46745252,268705832,21151589,15197064,15197063,21151585,27069282,23222093,23222094,268659973,30644808,23222336,16949276,16949275,15907011,11860315,7926641,7302905,7302904,11028497,15907023,21152354,23222759,30641159,23217802,17355375,12226236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7004645, s2 = 16135538, dlinesl.size( ) = 2 s1 = 7004645, s2 = 16135538, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7004645, Dl.E( ) = 92, 3.72e-05 seconds used appending s1 = 15701989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15701989, s2 = 16191794, int(edited[s2]) = 0 s1 = 15701989, s2 = 16191794, d1 = 15, d2 = 13 Dl.O(d1) = 207406938,201523518,194533119,186371669,177009402,166423914,154712658,142073088,128713266 Dl.O(d2) = 38753363,48674964,60071149,59794509,59794510,72529741,86129222,100096623,114131100,128020609,141389370,154063924,165833969,176490102,185920758,263913015,201185174,199696294,192404616,183935197,262155820,151537745,138835144,259902988,83917949,70391966,70391967,57749996,57749995,270274247,97776025,111697465,125503271,138835143,151537743,163421060,263057803,192404614,199696292,205864022,210965437,215134374,218567736,264953320,218567735,221457724,223934568,226078805,227946037,229586401,231044051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15701989, s2 = 16191794, dlinesl.size( ) = 2 s1 = 15701989, s2 = 16191794, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15701989, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 7005197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8545173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3475691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4324152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14688283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4325737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15923297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8546361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15132143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13560167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7006677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7130477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7130477, s2 = 11498964, int(edited[s2]) = 0 s1 = 7130477, s2 = 11498964, d1 = 44, d2 = 66 Dl.O(d1) = 262995522 Dl.O(d2) = 264449233,264710169,218642489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7130477, s2 = 11498964, dlinesl.size( ) = 14 s1 = 11385400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4331284, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4331400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7007860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7007860, s2 = 10487560, int(edited[s2]) = 0 s1 = 7007860, s2 = 10487560, d1 = 67, d2 = 116 Dl.O(d1) = 261267601 Dl.O(d2) = 264954212,206884736,200909863,193828164,185568501,176103846,176103845,185568498,193828160,200909858,264169782,193828163,185568501,176103846,165421370,153640107,273121605,273716683,200909853,200909852,206884721,200909872,200909871,264459300,200909848,200909849,206884716,206884745,264757327,219188637,219188632,215853152,211820757,206884717,206884719,211820759,215853154,215853156,211820760,206884720,206884721,200909872,264215263,200909867,193828167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7007860, s2 = 10487560, dlinesl.size( ) = 12 s1 = 13625513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13677303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13677303, s2 = 12415626, int(edited[s2]) = 0 s1 = 13677303, s2 = 12415626, d1 = 0, d2 = 3 Dl.O(d1) = 142964834,155514396,167147644,177647299,186928724,195014804,201934622,206220604,200144635,192949100,184560633,263080775,164132969,152246031,139514554,126139777,261080193,142620122,259434886,87244678,73623053,60872308,49468615,39534398,30923317,23485639,17201903,17201902,23485638,30923329,39534414,49468623,49468622,49468620,60872312,50395584,40360234,40360235,31665499,24155761,17788650,12590485,9718173,6393134,6393137,9718184,12538499,8499798,5501321,5501322,8499800,12538503,17388253,12253221,8275404,5339585 Dl.O(d2) = 3282074,3282073,5339348,5339443,3282020,3275346,3275348,5328550,4868650,4868654,5328748,3275424,3275426,5328756,5507565,5507563,8507069,12547790,12601752,12613923,17816293,18578619,17774827,17774828,17786698,12588987,254413856,17729233,12543270,12543269,17729231,24086535,31199899,23711924,23711925,25545224,18932323,13496950,13496948,17422905,17422904,23748035,17422607,12279910,8293274,267774150,254419514,12565532,254413000,17720581,17720582,24077477,17729984,17729985,24087305,17738457,17738459,17720575,12536857,8498528,8498527,12536856,17720573,24077459,24060588,17705694,12524065,8485970,5501303,5501305,8499762,8568547,5564159,3447794,3447793,5564139,8568496,12612889,17814931,12625121,12625123,17830075,24199263,24081573,24081572,24069987,24069986,254137332,31589831,24085713,24085712,31589828,24277297,17896919,17896920,255193004,38614404,38614405,34318736,255116298,24162052,17794488,12595356,11474930,11474931,254547234,20150173,27042913,27043268,35129466,255199042,24186581,17817979,12615310,12615313,17817984,19702422,14126923,9719007,9719006,14126920,19702412,20151478,27044013,31716326,24208535,20152409,17712051,16166431,11233808,11233807,16166426,17784846,12587439,12587438,17784843,14456598,14456599,17490528,17490529,19705519,14129163,9720315,9720316,14129167,14454687,9944584,6535996,6535998,7708650,7708640,7708638,11581251,16605474,17771850,17771849,254877272,39165067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13677303, s2 = 12415626, dlinesl.size( ) = 2 s1 = 13677303, s2 = 12415626, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13677303, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 16150891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4336148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7149099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8495140, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6769750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6769750, s2 = 16080932, int(edited[s2]) = 0 s1 = 6769750, s2 = 16080932, d1 = 30, d2 = 29 Dl.O(d1) = 258254991,261286569 Dl.O(d2) = 256006333,17406226,12266742,12266743,17406229,23730301,269175152,51003935,41753272,36789771,28293186,21086230,15146290,10446069,6886234,6886235,10446071,15146292,21086233,28293191,269490776,44583052,44583053,37495542,28952964,21672712,15635334,10819838,7150651,4503060,4503061,2715291,2715293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6769750, s2 = 16080932, dlinesl.size( ) = 2 s1 = 6769750, s2 = 16080932, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6769750, Dl.E( ) = 58, 1.79e-05 seconds used appending s1 = 9500288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4159673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6967589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8584706, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14112280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4343553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4343553, s2 = 13251045, int(edited[s2]) = 0 s1 = 4343553, s2 = 13251045, d1 = 17, d2 = 18 Dl.O(d1) = 167397354 Dl.O(d2) = 254857214,12465496,8434226,8434228,12465502,17641066,23987006,31484237,40167891,40169182,31484172,31484140,31484142,38850772,38744250,30161205,30161204,22772604,22772602,30161220,38744270,32107503,32107502,38304643,38304644,46628692,46628693,43419991,34319111,28244543,255187732,46627867,58003719,50192990,50192989,40189308,40189309,50211160,48328880,38420560,38304776,38304692,29736711,22378723,22378724,29736717,33047467,33047465,29736066,22378194,22378198,16222204,16222205,22378688,29736648,29852316,29852317,38420345,48328691,47885852,37967463,29403461,29403460,37967460,41644199,32735512,32735511,40260970,38303968,29735992,255204524,29736285,254918040,16869687,23130110,30548433,31484223,23986993,23986994,22378708,22378710,29736682,22378793,22378792,254442770,22486691,16314262,16314261,21998074,16314360,11350625,7542043,4770561,2875804,2875802,4770554,7542027,11350593,16314309,17581095,12409051,11350402,11350403,16314029,22486355,29851814,32049039,25358392,25358394,33091481,30548483,23130158,16869724,11800733,7881563,5005157,5005154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4343553, s2 = 13251045, dlinesl.size( ) = 2 s1 = 4343553, s2 = 13251045, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4343553, Dl.E( ) = 46, 1.41e-05 seconds used appending s1 = 7108407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8778836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8778836, s2 = 14279445, int(edited[s2]) = 0 s1 = 8778836, s2 = 14279445, d1 = 5, d2 = 33 Dl.O(d1) = 178133025,167675019 Dl.O(d2) = 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84437595,84437596,70880231,58166208,46798879,36921036,28422929,21200001,15235195,10509906,255021535,21200004,28422932,256844435,58166231,70880276,84437675,98347410,112330603,126191192,126190889,112330403,98347258,84437592,272030406,126190887,139566091,152296056,152296210,139566219,139566220,152296064,139566100,126190896,112330406,98347261,84437594,70880217,58166200,58166199,70880213,84437588,272731224,152296026,164179629,162486500,162486501,173523849,164691501,152855748,152855749,162486357,162486358,164546839,169335934,166171614,154435489,141788087,128435251,128435252,141789024,154436509,166172528,273365855,263932471,207307436,201400109,263580923,176792687,166172251,154436189,154436190,166172252,176792688,263403270,194380902,186188918,186188917,262537962,170782049,159441059,147064211,133818507,119951131,105715966,91491966,77561144,257257542,105715969,119951133,133818511,147064219,260942920,174995513,170486404,159143527,146768954,146768955,159143529,155455567,155455565,167094315,177598285,183323854,186188702,262757113,261222779,128435004,141788710,154436185,261748845,128129042,114242278,100208013,271348273,141490303,154155958,165916927,273360703,262804308,152295781,139565869,139294738,128914010,128914011,142265476,154899354,166599144,263084273,174996342,184597721,192982129,192981816,263084211,164179663,152296060,139566096,126190893,112330405,98347260,259903703,261769369,141788231,154435657,166171770,162832632,150776167,137831410,137831409,142265869,140011138,126656266,126656265,140011133,152707593,261307390,126656457,125716489,111899044,111899046,125716499,111899064,111899063,114550424,100519643,100519642,114550419,128434431,141787943,133818503,119951124,105715963,105715962,119951112,119951115,133818494,147064193,138119814,138119813,260942922,141788030,128434495,114550457,100519666,86557619,72958135,72958133,86557616,86557613,72958186,72958128,72958127,72958191,72958398,258806085,100520155,114551126,261222823,154436531,166172542,176792928,185989559,187504512,178298636,178298637,187504510,195517447,192569017,184117986,174468886,163632475,262043030,260942950,139909346,139909347,139971667,126617445,126617447,260236532,164515137,261939124,156071026,262832573,263565442,274253907,266078333,266003394,266235482,266272680,266046984,230800662,232136735,233340658,265770784,231525960,230115464,228526541,264839556,273761800,209126296,209126295,213657431,217374533,220471967,223104806,223454389,220887779,264854468,264896355,264887424,190566531,181833238,171870285,160685215,148424874,261470610,260925241,262022783,262956078,171869827,263383691,198104641,204527839,209882832,264896347,220887717 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14935429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14935429, s2 = 8931531, int(edited[s2]) = 0 s1 = 14935429, s2 = 8931531, d1 = 13, d2 = 11 Dl.O(d1) = 12324132,8324856,5372444,3303279,1943163,1943162,3303276,5372433,8324833,9170829,9170830,13412888,15553374,16165319,11236641,7457608,4712324,4712322,7457604,11236632,16165168,11236492,7457487,7457488,11236494,16165818,11233160,11233161,16165821,11233858,11233857,16166463,16889462,22311020,22311019,16164730,11231912,11231913,8541801,8288955,5347310,3286289,3286288,254589617,11236205,255464225,22310988,255086209,7453029,267975067,12624805,16164218,18862408,17797904,12598432,9189837,9189838,13440177,13440831,255590004,12274661,8289473,5550927,3435894,3435893,5550924,7460272,7460273,11240117,13440290,12605692,12605693,17784579,12587146,8539470,8539469,9190922,6016558,5547593,5547592,8549014,8568215,8553341,5550946,5550947,8553343,9189323,9188294,268025453,11230940,13442807,267931517,6017540,268002981,7896606,5017528,5017527,254650693,3434080,2031247,1163307,652808,652807,747215,424598,424599,747222,1308892,2027320,3429283,3762666,2837764,1646201,1646202,2837771,2252909,1307475,1307472,2252900,3760870,254650227,5566363,5548535,3434158,3433244,3433243,5015481,3420866,2020287,2020288,3420869,5017614,3035500,1766841,1766842,1989817,3376664,3376665,5485881,5546976,3436025,2032580,2032579,3436022,5551083,6047186,5488807,3379514,1989649,1989648,3379513,3448252,254276625,2001383,3379509,2861850,2021514,1156763,649004,649003,1156754,1314800,2001290,2001288,1156454,1156459,1157327,650374,360734,197489,197230,107584,59119,59120,107586,197236,360221,649358,1157405,1168980,656094,656095,1168981,1159231,1159232,1160868,1160869,2027659,254276085,640248,355420,355418,640245,267773033,2026605,1160076,650897,360996,197630,107760,107755,197610,360958,650838,1159990,1162720,652489,361829,198055,198054,361827,652486,1162757,2030403,2021145,2021144,2061408,3474605,5015498,3448435,2264741,1313748,749864,426203,426204,749865,1313751,2264743,3780828,3286881,3286882,2026315,2026316,254416289,3474724,3474725,3459197,254193387,660431,660432,1176485,1989710,1989713,3379582,3404448,2007833,2007832,1767890,1007444,567813,567814,1007449,1767906,2037243,2037242,3442088,3450098,3443802,3443800,5559063,8499997,8498977,5522985,3409660,3409659,5522982,8524306,5533829,254416327,3428372,5491109,5540479,5540480,7893957,5536735,5536733,5555808,5566156,3449934,2043476,1171417,657512,364507,364505,657506,1171410,2043463,3449910,5566139,5564089,3447735,3447734,5564085,254872899,17826808,256041417,31703635,40395747,257679833,74712297,88340146,102336597,116430164,130267406,143595257,156130199,262836407,263645029,202306189,208077269,208077268,212835869,212835873,274215171,265256143,216726337,212835871,208077271,208077272,264827175,219951035,219951031,274294961,225008394,265763243,225008399,225008400,265903823,266151591,232997687,266260635,234124220,232997690,231752626,230366825,230366824,228807311,227037298,225008404,222672205 Dl.O(d2) = 228807304,228807305,230366821,231752623,265903825,228807306,228807307,230366823,274607483,266361299,236081803,236930041,236930052,236081820,235149226,235149225,236081818,266615789,236081819,235149226,234124235,232997701,232997700,234124232,235149224,235149216,234124227,234124226,235149214,236081808,235149211,234124223,232997691,266260639,235149209,236081806,236081809,235149212,234124224,232997692,266260641,231752630,231752631,232997695,234124228,235149217,236081814,274757041,266753183,237702350,266538577,235149220,234124230,232997699,231752633,231752632,232997696,234124229,266453685,236930047,237702348,238404431,239044793,239044790,238404430,238404429,239044789,239044796,238404435,237702351,236930048,274757043,238404427,238404428,237702345,236930044,266615785,274757039,238404425,274779939,236081802,235149208,266453683,232997682,232997683,231752615,230366813,228807300,227037291,227037292,228807303,230366819,231752619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14935429, s2 = 8931531, dlinesl.size( ) = 2 s1 = 14935429, s2 = 8931531, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14935429, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 8757327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8757327, s2 = 8735309, int(edited[s2]) = 0 s1 = 8757327, s2 = 8735309, d1 = 7, d2 = 19 Dl.O(d1) = 258918699,102447320,116543952,130381959,143707648,156235983,167828094,178268918,178268908,178268909,187481720,187481727,187481728,195498992,202355317,208119440,212872275,208119434,202355304,195498973,195498972,263995197,187481713,178268904,167828083,167828084,178268907,262842187,262842185 Dl.O(d2) = 187481723,178268912,178268913,263649677,202355314,264581371,202355308,202355309,264303869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8757327, s2 = 8735309, dlinesl.size( ) = 10 s1 = 8591686, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14678869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7094074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14594090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14594090, s2 = 7152588, int(edited[s2]) = 0 s1 = 14594090, s2 = 7152588, d1 = 12, d2 = 6 Dl.O(d1) = 24386104,17986582,17986583,24386108,31918663,40634334,50693550,40634338,257697515,31918666,24386115,17986586,12747962,255210331,24386114,17986590,17986589,17986603,256056327,40634344,31918671,31918672,40634345,258307081,75036471,88687258,75036470,62213471,258307083,88687257,102696432,116789081,130613813,143921330,156428185,167991840,156428183,143921326,143921327,143921331,143921332,260767025,116789082,130613811,116789080,116789081,130613813,143921330,156428185,167991841,263274337,195597631,263656301 Dl.O(d2) = 263274337,195597631,263656301,178405045,167991838,167991837,167991845,156428188,143921333,260767025,116789082,130613811,116789080,116789081,130613813,143921330,156428185,167991840,263274335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14594090, s2 = 7152588, dlinesl.size( ) = 2 s1 = 14594090, s2 = 7152588, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14594090, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 14117438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117438, s2 = 8026100, int(edited[s2]) = 0 s1 = 14117438, s2 = 8026100, d1 = 15, d2 = 29 Dl.O(d1) = 22445141 Dl.O(d2) = 50682100,50682101,255119040,20168042,26395260,30170246,22781418,22781395,16565856,11547556,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,12029409,17117941,12029360,12029359,13017919,9758564,9758565,11445805,11445807,16430646,22615175,29982176,31551751,255102090,61735453,74517016,88129202,258152488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117438, s2 = 8026100, dlinesl.size( ) = 34 s1 = 4178743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15874779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15709117, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4362071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4362071, s2 = 16372033, int(edited[s2]) = 0 s1 = 4362071, s2 = 16372033, d1 = 31, d2 = 28 Dl.O(d1) = 168805586,273203053 Dl.O(d2) = 269036021,32261696,24660923,18201621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4362071, s2 = 16372033, dlinesl.size( ) = 12 s1 = 7015097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7015097, s2 = 14197645, int(edited[s2]) = 0 s1 = 7015097, s2 = 14197645, d1 = 72, d2 = 85 Dl.O(d1) = 261373959 Dl.O(d2) = 109359041,95104834,81047362,67579524,254849282,24995618,18471428,18471429,13122916,8944410,5838707,5838708,8944411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7015097, s2 = 14197645, dlinesl.size( ) = 30 s1 = 6981747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6981747, s2 = 9020241, int(edited[s2]) = 0 s1 = 6981747, s2 = 9020241, d1 = 33, d2 = 45 Dl.O(d1) = 260922112 Dl.O(d2) = 438216,771069,1351442,254307105,254667941,13831890,19340950,26015809,33834728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6981747, s2 = 9020241, dlinesl.size( ) = 38 s1 = 7639751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4525629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6924497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4370399, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4193377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7194479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7194479, s2 = 13344913, int(edited[s2]) = 0 s1 = 7194479, s2 = 13344913, d1 = 27, d2 = 33 Dl.O(d1) = 263853378 Dl.O(d2) = 72277872,72277873,85869290,72277869,72277868,84953022,71377443,71377442,84953021,85869286,85869287,99822073,86782528,73169929,73169928,72277881,72277880,72277844,59543668,48156771,38247587,38247588,48156762,38247581,29682694,29682693,38247580,48156760,59543659,72277835,84952958,71377422,58694189,58694190,47303809,37394439,28853894,28853893,256875550,48156721,43861404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7194479, s2 = 13344913, dlinesl.size( ) = 14 s1 = 3785245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13625117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8375662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8375662, s2 = 4421331, int(edited[s2]) = 0 s1 = 8375662, s2 = 4421331, d1 = 26, d2 = 6 Dl.O(d1) = 258383984,44553275,258537959,95259345,105390965,119627508,261419111,261829406,180610671,170472443 Dl.O(d2) = 199617027,199617026,262337320,260713702,174162731,260116948,258877720,138738383,258255160,163312293,151433843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8375662, s2 = 4421331, dlinesl.size( ) = 34 s1 = 15123923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7192141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16088330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4376620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11749494, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15139369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4380684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4380684, s2 = 13329852, int(edited[s2]) = 0 s1 = 4380684, s2 = 13329852, d1 = 7, d2 = 7 Dl.O(d1) = 170751751,159404717,147024489,133777011,119908673,105673202,91449818,269969022,64354776,52484499,42129438,33173023,25430374,18836331,13420509,9176079,6005810,3755971,3545206,3545201,5697760,8751356,12868360 Dl.O(d2) = 170751751,159404717,147024489,133777011,119908673,105673202,91449818,269969022,64354776,52484499,42129438,33173023,25430374,18836331,13420509,9176079,6005810,3755971,3545206,3545201,5697760,8751356,12868360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4380684, s2 = 13329852, dlinesl.size( ) = 2 s1 = 4380684, s2 = 13329852, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4380684, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 15560992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13978913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16045831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7159233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7159233, s2 = 11845143, int(edited[s2]) = 0 s1 = 7159233, s2 = 11845143, d1 = 14, d2 = 21 Dl.O(d1) = 263373460 Dl.O(d2) = 256026580,257079584,101955013,115999560,129897570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7159233, s2 = 11845143, dlinesl.size( ) = 12 s1 = 11223420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223420, s2 = 6547656, int(edited[s2]) = 0 s1 = 11223420, s2 = 6547656, d1 = 30, d2 = 37 Dl.O(d1) = 259522406 Dl.O(d2) = 255833123,37172262,47064311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223420, s2 = 6547656, dlinesl.size( ) = 2 s1 = 11223420, s2 = 6547656, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11223420, Dl.E( ) = 48, 3.29e-05 seconds used appending s1 = 16119107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14631878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14631878, s2 = 8976498, int(edited[s2]) = 0 s1 = 14631878, s2 = 8976498, d1 = 60, d2 = 33 Dl.O(d1) = 3884090,6205503,9275360,13548723,18986483,25596542,259045741 Dl.O(d2) = 243249568,274944293,267260624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14631878, s2 = 8976498, dlinesl.size( ) = 58 s1 = 4386243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4386243, s2 = 6576222, int(edited[s2]) = 0 s1 = 4386243, s2 = 6576222, d1 = 11, d2 = 16 Dl.O(d1) = 170926556 Dl.O(d2) = 256140565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4386243, s2 = 6576222, dlinesl.size( ) = 2 s1 = 4386243, s2 = 6576222, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4386243, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 14241653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8676359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8676359, s2 = 7858312, int(edited[s2]) = 0 s1 = 8676359, s2 = 7858312, d1 = 54, d2 = 81 Dl.O(d1) = 153791890,262719827 Dl.O(d2) = 264103010,273481740,273408505,261507544,260344978,62502456,256177206,24466801,21273284,15312058,10575249,6975613,6975612,10575246,15312054,13500601,9236741,6049575,3785619,3785621,6049581,9236753,13500619,18936124,24466800,18860788,18860789,25460864,24930176,18418905,18201026,12910022,8782242,5719802,5719801,8782238,12910017,17187439,17187438,20803867,23803156,17470075,17470076,23803160,18418330,14909657,14909660,20803898,18936161,18936160,21273310,15312079,10575264,6975623,4382295,4382296,6975626,10575267,15312085,254703328,20803507,17978818,12741532,8658769,5632544,3500337,2080462,2080461,3500334,5632537,8658755,10251860,6736217,267956005,13082312,8914700,8914701,13082317,18418405,20803977,14909718,14909716,20803831,20803832,27966014,27966013,36424578,27966200,27966199,27965662,20803230,20803229,14909652,14909313,10251554,6735962,4220436,4220435,6735958,10251548,14909301,20803504,254479726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8676359, s2 = 7858312, dlinesl.size( ) = 44 s1 = 3808934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7022505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16066234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8055589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8055589, s2 = 7923031, int(edited[s2]) = 0 s1 = 8055589, s2 = 7923031, d1 = 29, d2 = 31 Dl.O(d1) = 33636155,25833177,22825943,16605100,14531478,9998989,6571420,6571421,9998995,14531493,16009774,11115146,11115148,8319575,5368469,5368468,5031165,5031167,7914427,10928478,10928477,15776552,21847031,28029258,28029257,23585128,20246988,20246989,27158698,26906889,21415684,15426021,10664210,10664209,15426014,17272737,17272735,23585157,25557855,25557856,31069413,31069412,34309374,26431420,19693465,16802497,11749030,7844396,7844397,11749034,13657084,13657083,271979084,134633645,262953367,264346214 Dl.O(d2) = 17313194,17259535,12139504,12139503,17259534,16951196,11863813,11863810,16804066,15158284,10453825,10453827,15158294,21102742,17292374,12171196,8203242,8203241,8176163,8176165,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545256,11356547,16323731,22497759,22497758,28772364,267887350,16315579,11351376,7542473,4770786,4770787,7542476,11351384,16315588,22488358,21080951,15142502,10443660,10443663,15142512,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,22475499,22475496,23008623,29855433,22490495,22490496,22471157,22471158,22472944,16303283,11343700,11343699,16303278,22472935,21101777,21101776,28312130,30437758,38416391,38959791,30413143,23008248,16768880,11722593,7825057,4966578,4966576,7825049,11722579,16736648,11693118,7798620,7798621,11370856,16303339,16306867,16306866,22477526,23340749,254164540,15924461,11047286,11047290,15924472,15914573,11035913,7310370,4782187,4782186,7310424,7310425,7327373,11035925,7310409,4614014,2778344,2778342,4613961,4826292,2908451,2908453,4614318,2778566,2778563,2877360,2877363,4773765,7548240,6550285,4103559,2454554,1418865,807112,457318,457321,807124,1418887,2454600,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609713,7305280,7554243,11370960,12200477,12200478,16340972,11375439,11375440,8344198,8344200,9108581,9108580,8212051,8212050,12180286,17302345,16347975,11375531,7557345,7557346,11375534,16347977,22521169,29877833,38436695,31143375,23656233,21106459,21106460,28316584,30456985,23049256,23049257,23635401,17319575,254777276,9108592,9108593,13330890,18726146,23654995,23654996,23602312,23602313,20126288,20126291,21101530,17318864,12194126,8224477,8224476,12194134,10960867,10960866,14945574,20846038,20846039,16712481,16371859,11750041,7845239,4979941,4979945,4980064,4980059,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,3902019,6232361,6232744,6232403,6232404,9501994,13851141,19364477,26043331,33865375,42910988,53377357,65381364,78685982,92749273,78685975,78685976,92749275,107089674,121387001,115315747,115315746,115315749,101237324,87237029,73615522,73615521,87237027,101237320,90118309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8055589, s2 = 7923031, dlinesl.size( ) = 2 s1 = 8055589, s2 = 7923031, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8055589, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 10246242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16283113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16283113, s2 = 2193839, int(edited[s2]) = 0 s1 = 16283113, s2 = 2193839, d1 = 2, d2 = 11 Dl.O(d1) = 22450759,256411385,38390936,48301288,59687954,72423197,86020384,86474614,86474618,270860575,99980989,86474621,72879092,60142654,48748262,38828325,30244936,22850826,16626090,11597184,7719917,4886228,4886229,7719920,11597190,16605098,14531478,9998989,9998987,14531471,20251000,27165512,35269470,44663046,55524269,67874821,68093527,55696049,44788858,35364640 Dl.O(d2) = 20310654,20310655,27241349,23130947,23130946,21761040,15705625,10872466,7188599,7188602,10872500,14090972,14090970,19658405,22345980,23181671,16916688,16916687,23181669,29945715,24207372,17837494,17837495,15239153,15239155,21205209,17747393,17747392,15237944,15237945,15841195,21927561,22363842,16210302,16210303,22363846,16662279,15239178,10512470,10512471,15239182,14091931,14091932,19658562,19658563,26392756,24216953,19818976,19818977,26630232,30598541,31723872,31723871,34268891,26392823,19658497,17119165,12030205,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,16568755,16566504,16566501,17846046,14088418,14088421,19655091,14093254,9760237,6417314,4025915,2412516,2412515,4025911,6417301,9691464,6374511,6374514,9691475,8087244,8087246,12029466,17118076,21243096,15275937,10542226,10542224,15275930,21243086,16645124,16645123,16578228,11558785,11558786,16578232,22794901,26397053,19663015,14094503,9694092,9694091,14094500,19663007,26397045,22783677,16568006,16568007,17779883,12583138,8535762,8535760,12583134,15021163,19651801,19651799,26386310,34263839,26389427,267767442,14489431,10703675,10703676,15478310,15478313,10703687,7071540,7071539,10703682,14089087,14089085,15578661,11546984,7682327,4860990,2929263,2929265,4860994,7682339,6099479,3816370,3816373,6099490,8526299,8526298,12572188,12031783,8088688,6376160,6376161,9694567,14095272,19663978,26397901,19663885,14095194,14095193,14088435,254297630,26389447,34266222,43365774,255655372,256632944,107880885,122297013,259018252,149539068,161843694,165316667,153522703,140843596,272277820,113610327,99594845,85644616,72057264,59322696,47930559,38016436,29454214,22120103,255204680,11112402,16006427,22120104,29454217,38016437,47930561,59322697,72057266,85644617,271330219,127484809,140843598,140736129,127379973,113509818,258260884,71963911,59225739,47827790,37906062,37906066,47827796,49888568,49888567,47180850,37274846,37274845,37471211,47378276,58765528,71495382,77726548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16283113, s2 = 2193839, dlinesl.size( ) = 2 s1 = 16283113, s2 = 2193839, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16283113, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 4404137, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4230337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16214378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15130201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15130201, s2 = 8673073, int(edited[s2]) = 0 s1 = 15130201, s2 = 8673073, d1 = 46, d2 = 19 Dl.O(d1) = 270310914,30016829,256382898,29420891,255450422,15983515,11096164,7359049,4648693,2800249,2800248,4648691,7359043,10764689,10764691,11956962,11956961,17044165,17045880,11958145,8005046,8005045,11958141,17045873,22115236,18818116,18818117,16543125,16543124,255054772,9165941,9165940,13406474,17306182,12183138,12183137,17306181,17392163,12256314,8277407,5404162,5404161,8373594,12390984,17561894,23436694,23436693,17575452,17575451,21248544,21248545,17579187,17579186,21266642,17575237,12403423,8382551,5409457,5409454,8382541,12403401,12402542,8381907,7246387,4568952,4568949,7246378,10949503,12272118,12065227,8112869,8112868,11824040,7903070,7903067,11618995,11618994,16651429,13508886,13508885,18945523,23716661,23716659,21079202,15141262,10442908,7376473,4660165,4660163,7376464,8272059,8285188,5345025,5345026,5398770,5398768,8284662,5368944,3300695,1941346,1941343,3300676,5368899,8320326,12318029,17471886,23719868,23705530,17382616,12249103,8272726,5338009,3281298,1930088,1102750,618859,618860,1102754,1930095,3281310,5338035,8272776,12249186,17382764,12249273,8272843,8272844,10442856,15141210,17400804,17546296,17552803,17471850,17471849,20971106,23892713,17546380,12376720,12376719,12259221,12259223,15181572,15181570,21130294,21130292,23729275,31213720,31291562,23805265,23724946,17401075,12263035,8281491,5342994,5342993,8281488,12263029,15141392,15141391,21079359,255807043,36781917,46668598,40084311,31852506,24332469,24332470,254724902,10471634,10471635,15181419,12258678,8278947,8278944,12258695,17395339,23719201,17540312,12371689,8359867,8359863,6918376,5405709,5405705,8376155,12394487,17565842,23909377,28069397,20898126,14993905,10324762,6793748,4259630,4259629,6793747,10324761,13275073,10325216,6865690,6865689,10415322,12660975,255202509,13299769,268291585,25264273,32987709,41928119,52266845,64115809,77262808,91181636,105403776,119640080,133512258,261829590,260713878,122881738,258877918,94329273,108616982,122881736,122881748,108616988,94329275,94329274,108616986,122881743,136714006,133512243 Dl.O(d2) = 193355136,264224594,185024868,193355138,200504032,264738045,206541077,206541078,264738043,218976167,265548487,224258855,226374137,227887130,226007748,223853054,221367457,218465752,215011980,210813174,205673087,199460002,263814131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15130201, s2 = 8673073, dlinesl.size( ) = 24 s1 = 13662851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6862684, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6862684, s2 = 11373364, int(edited[s2]) = 0 s1 = 6862684, s2 = 11373364, d1 = 8, d2 = 21 Dl.O(d1) = 259385348 Dl.O(d2) = 105710106,91486265,258404109,64387236,77555440,71439986,58708610,47319660,37411188,28869910,21595024,15568139,10768223,10768224,15568142,16513811,11508397,11508398,13431795,9183347,6010596,3759354,3759355,6010599,9183352,255261275,25450224,33196311,42155669,52513596,64387237,77555441,91486268,105710111,112669661,112669660,119944984,119944983,133812115,147058060,139895899,126532461,126532460,139895896,147058060,139895903,139895904,139895906,126532469,126532468,126532473,126532461,112669644,98675106,98675107,112669647,126532464,112669656,98675115,98675114,84747513,71178778,257393380,28663098,28663099,31383646,23887084,17540605,17540603,23887079,28914786,31386363,31384636,255567575,12372625,12372590,12372591,12373892,8361599,8361600,255177813,23889815,268681357,258264037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6862684, s2 = 11373364, dlinesl.size( ) = 2 s1 = 6862684, s2 = 11373364, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6862684, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 4233806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4234311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4234311, s2 = 9168024, int(edited[s2]) = 0 s1 = 4234311, s2 = 9168024, d1 = 5, d2 = 35 Dl.O(d1) = 162170694 Dl.O(d2) = 19023008,25639797,33406485,42395694,52795304,257611170,64709143,52795302,52795303,256484978,42395701,42395700,52795320,52286410,52286409,52795299,64709138,77287002,64138075,258387076,77287004,64138079,64138078,52286412,41945849,33003980,33003981,257183149,257183117,41945511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4234311, s2 = 9168024, dlinesl.size( ) = 2 s1 = 4234311, s2 = 9168024, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4234311, Dl.E( ) = 60, 4.08e-05 seconds used appending s1 = 14710291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4239316, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8364660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115440, s2 = 11760857, int(edited[s2]) = 0 s1 = 14115440, s2 = 11760857, d1 = 1, d2 = 4 Dl.O(d1) = 44513911 Dl.O(d2) = 81165997,95222413,109476429,123668332,261558565,162566765,173596530,183390336,191952287,199317776,205549511,205549514,205549515,210703868,264925277,221289404,223782845,265821315,266080311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115440, s2 = 11760857, dlinesl.size( ) = 2 s1 = 14115440, s2 = 11760857, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14115440, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 7027791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7027791, s2 = 6956636, int(edited[s2]) = 0 s1 = 7027791, s2 = 6956636, d1 = 78, d2 = 110 Dl.O(d1) = 261563585 Dl.O(d2) = 264181091,211389737,215482570,215110798,210939719,205835095,199662950,192366129,183891041,174220737,163367832,151484376,260594226,111651764,111651763,125454276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7027791, s2 = 6956636, dlinesl.size( ) = 2 s1 = 7027791, s2 = 6956636, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7027791, Dl.E( ) = 112, 3e-05 seconds used appending s1 = 11455676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455676, s2 = 7462413, int(edited[s2]) = 0 s1 = 11455676, s2 = 7462413, d1 = 0, d2 = 24 Dl.O(d1) = 35269969 Dl.O(d2) = 266893392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455676, s2 = 7462413, dlinesl.size( ) = 22 s1 = 11396468, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6943051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6943051, s2 = 13733363, int(edited[s2]) = 0 s1 = 6943051, s2 = 13733363, d1 = 3, d2 = 2 Dl.O(d1) = 260416297,260526104 Dl.O(d2) = 158590460,263324753,273621991,263857968,261946079,132982786,132982787,119147748,104951712,104951711,119147747,273004616,104951712,104951711,271974489,146216150,263324757,169955725,180130800,263700025,203463547,209016961,264859145,217309377,220418699,223059782,225337587,265782015,230571583,231931678,232281276,230962279,265956870,227434749,225475587,223223258,223223257,223223259,220618655,217556821,213888524,209420797,203976197,197449089,189782055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6943051, s2 = 13733363, dlinesl.size( ) = 16 s1 = 10225158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7108893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7108893, s2 = 5941078, int(edited[s2]) = 0 s1 = 7108893, s2 = 5941078, d1 = 90, d2 = 97 Dl.O(d1) = 262690656,173707501 Dl.O(d2) = 238055895,274679978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7108893, s2 = 5941078, dlinesl.size( ) = 72 s1 = 4418122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4418122, s2 = 11170002, int(edited[s2]) = 0 s1 = 4418122, s2 = 11170002, d1 = 13, d2 = 17 Dl.O(d1) = 173731970 Dl.O(d2) = 123951896,260407256,95610909,109814303,109814304,95610908,81577153,81577152,68087273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4418122, s2 = 11170002, dlinesl.size( ) = 2 s1 = 4418122, s2 = 11170002, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4418122, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 4246157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4246157, s2 = 15415599, int(edited[s2]) = 0 s1 = 4246157, s2 = 15415599, d1 = 93, d2 = 282 Dl.O(d1) = 162744651 Dl.O(d2) = 257811560,74628376,61836156,50351974,40325025,31635699,31635700,40325027,41638503,41638502,41638504,32731126,25043048,25043049,32731122,32731123,41638499,41987329,41987330,33755472,25947832,25947831,33755470,42786425,256202820 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6823159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6823159, s2 = 6766811, int(edited[s2]) = 0 s1 = 6823159, s2 = 6766811, d1 = 41, d2 = 53 Dl.O(d1) = 258879112 Dl.O(d2) = 87165725,258221803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6823159, s2 = 6766811, dlinesl.size( ) = 60 s1 = 14102938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14102938, s2 = 13771746, int(edited[s2]) = 0 s1 = 14102938, s2 = 13771746, d1 = 1, d2 = 19 Dl.O(d1) = 63889703 Dl.O(d2) = 263221152,215097424,273570094,262790672,199643933,205818544,210924934,273377242,199643935,262790674,263608408,192345238,183869521,183869520,192345236,199643931,205818543,263608404,205818539,199643928,199643927,205818538,210924927,274175369,215097426,210924929,205818540,199643929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102938, s2 = 13771746, dlinesl.size( ) = 2 s1 = 14102938, s2 = 13771746, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14102938, Dl.E( ) = 20, 2.19e-05 seconds used appending s1 = 11261160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7107119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7107119, s2 = 7666396, int(edited[s2]) = 0 s1 = 7107119, s2 = 7666396, d1 = 41, d2 = 70 Dl.O(d1) = 262669764 Dl.O(d2) = 30868428,39471884,49400407,60801064,73548132,87166621,101164739,115242344,271771444,258053956,77116326,256323718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7107119, s2 = 7666396, dlinesl.size( ) = 2 s1 = 7107119, s2 = 7666396, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7107119, Dl.E( ) = 74, 1.6e-05 seconds used appending s1 = 11395220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395220, s2 = 7044536, int(edited[s2]) = 0 s1 = 11395220, s2 = 7044536, d1 = 49, d2 = 53 Dl.O(d1) = 261604547 Dl.O(d2) = 272878926,262287990,177074958,261776030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395220, s2 = 7044536, dlinesl.size( ) = 2 s1 = 11395220, s2 = 7044536, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11395220, Dl.E( ) = 78, 2.5e-05 seconds used appending s1 = 7030659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7030659, s2 = 8607008, int(edited[s2]) = 0 s1 = 7030659, s2 = 8607008, d1 = 19, d2 = 28 Dl.O(d1) = 261615731 Dl.O(d2) = 166506344,272524570,128811069,114913825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7030659, s2 = 8607008, dlinesl.size( ) = 30 s1 = 14105769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11195778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195778, s2 = 9681886, int(edited[s2]) = 0 s1 = 11195778, s2 = 9681886, d1 = 1, d2 = 1 Dl.O(d1) = 185636218,176175723,165497566,153719284,141052725,127703094,113833735,99818580,85865335,72273957,59540470,48154196,38245405,29680663,22329273,16183213,11249046,11249047,16183215,22329276,21619255,16515724,11510039,11510036,15808875,10954952,7250646,7250647,254323262,25517192,18907401,18907400,254323260,27283467,20959272,20959271,28137341,267809342,57832748,70534249,84070565,97943461,111879681,125696514,257767366,174452460,259636142,192555915,199829791,205978300,211061680 Dl.O(d2) = 185636218,176175723,165497566,153719284,141052725,127703094,113833735,99818580,85865335,72273957,59540470,48154196,38245405,29680663,22329273,16183213,11249046,11249047,16183215,22329276,21619255,16515724,11510039,11510036,15808875,10954952,7250646,7250647,254323262,25517192,18907401,18907400,254323260,27283467,20959272,20959271,28137341,267809342,57832748,70534249,84070565,97943461,111879681,125696514,257767366,174452460,259636142,192555915,199829791,205978300,211061680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195778, s2 = 9681886, dlinesl.size( ) = 2 s1 = 11195778, s2 = 9681886, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11195778, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11745834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14983021, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13581107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13581107, s2 = 15635535, int(edited[s2]) = 0 s1 = 13581107, s2 = 15635535, d1 = 0, d2 = 15 Dl.O(d1) = 28226337,256291551,28226332,36719913,46608170,57985065,70702690,84254510,84254511,98148454,112107657,125941224,261070615,260491329,112107653,125941202,125941203,139289893,139289915,125941225,125941226,139289918,151996195,151996194,163863831,174680595 Dl.O(d2) = 258894962,127469453,113594011,113594012,127469454,258894964,140829007,259519108,165303768,153509077,153509076,165303766,175998578,185472749,261303426,175998571,165303753,153509067,153509068,165303755,175998573,261303428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13581107, s2 = 15635535, dlinesl.size( ) = 2 s1 = 13581107, s2 = 15635535, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13581107, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 8646314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4430600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15645979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15645979, s2 = 16307241, int(edited[s2]) = 0 s1 = 15645979, s2 = 16307241, d1 = 17, d2 = 11 Dl.O(d1) = 58045872,58045873,70764717,84323958,84323957,258645234 Dl.O(d2) = 231921805,231921806,230560438,229030878,227296091,225310367,223025736,220377042,217257209,213510605,208936690,203369081,203369082,196725980,188964233,180005952,262443221,158463377,261942457,271971165,104868998,90698598,76828122,76828121,76828123,63724881,51916086,41614414,32709838,25024812,18493636,13138725,8954573,8954574,13138727,18493638,25024817,22584113,22584112,29947190,29257494,21936871,15849121,10983959,10983958,255437605,29257486,37409477,255884712,21593590,22845959,16622557,16622555,22845956,30239231,38822475,34753743,26733688,256207963,44070456,52332997,258391317,86961394,73349821,60604695,60604696,60604697,60604693,49203859,39277238,30680262,23263647,17000103,17000102,17000096,11913763,7969435,5070810,5070811,7969438,11913770,17000105,23263648,30680264,256629314,60604698,50008698,39990712,39990713,32327812,254686782,18240486,24712588,26946618,34979189,34979190,255056918,26899750,20017596,20017595,15984178,11096622,7359305,7359306,11096624,15984181,22091238,29421857,37984564,30058109,30058108,24712974,24712973,32328199,41142271,51326517,63006178,75989224,257304718,118015489,131842524,145101418,157535851,168998514,262079882,263023954,272778044,261762292,260639444,141662754,260639443,100411985,86454774,72859069,60122204,48727293,38806628,255941089,16610107,11584964,7711114,4880126,2940485,1705172,1705171,2940484,4880123,7711109,11584956,7711910,4880657,4880658,7711911,11586099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15645979, s2 = 16307241, dlinesl.size( ) = 2 s1 = 15645979, s2 = 16307241, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15645979, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 13333869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8645361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8645361, s2 = 8488581, int(edited[s2]) = 0 s1 = 8645361, s2 = 8488581, d1 = 0, d2 = 5 Dl.O(d1) = 23290893,23290894,23290900,22562036,16382624,256416373,48383998,258148231,260615951,141345414,127982235,127982234,141345412,154015457 Dl.O(d2) = 152936975,140247712,259898400,99060927,85136751,257418016,47453869,37545860,29000323,255422107,15671948,255856083,29000320,29006296,21720349,15676082,15676083,21720351,29006299,268620925,29000314,37545848,47453848,258081847,58839747,47453854,37545851,268927583,58839748,257471427,257471429,47453851,47453849,257472075,258081849,85136728,99060899,99060923,85136745,258178372,85136726,272229486,263187272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8645361, s2 = 8488581, dlinesl.size( ) = 20 s1 = 16273331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15211239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7070342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114946, s2 = 8384119, int(edited[s2]) = 0 s1 = 14114946, s2 = 8384119, d1 = 29, d2 = 31 Dl.O(d1) = 17950359,17950360,16519805,16519804,22725069,22719516,22719515,30101454,27275849,20339737,14597682,14597681,14955953,10289397,10289396,13285436,9068677,9068676,13285468,18678332,14995141,10325993,6794847,6794846,10325992,14995138,20899366,28037138,20889933,20889932,16524471,16524472,14596021,10043380,7656423,7656424,11509354,16514974,22719957,27274774,20338583,20338584,18736196,18736195,258025661,21111813,15165725,10458953,268066737,21110127,20918041,15011804,15011805,20907937,15164831,15011815,15011814,20918057,20240165,14523597,14523598,20240168,25292114,21109025,15163271,15163268,21109018,25488185,21108861,15164606,10458112,6893571,4327339,2588810,2588812,4327345,6893583,10458136,13320626,15165883,19124082,19076832,19076831,21109979,15164040,10457698,6893310,4327207,2588744,2588745,4327210,4327559,2588950,1492440,845115,845116,1492444,2588956,4327614,6894075,254719923,6892962,10457170,15163328,10457341,10457340,15163535,14431971,9927416,6524486,4088032,4088033,5293789,254233880,254265316,5293790,7324410,11049161,15926051,22026976,267745878,267771216,5160426,5160427,8066608,254584828,21112681,28322697,28488275,28319622,28319621,258025551,84347117,98254568,259285916,139457952,126087701,126087700,139457950,152181681,164059100,164197394,175012520,184612577,192995502,192887322,184487613,174876549,174876550,263840575,206185217,200099075,192887336,184487633,261637702,152181683 Dl.O(d2) = 270920329,259108298,79282724,259739255,260357049,261520086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114946, s2 = 8384119, dlinesl.size( ) = 2 s1 = 14114946, s2 = 8384119, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14114946, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 7707057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6716871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13303297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13303297, s2 = 4105815, int(edited[s2]) = 0 s1 = 13303297, s2 = 4105815, d1 = 0, d2 = 0 Dl.O(d1) = 141137525,153811187,164351172,261648866,126386926,112516058,98521026,84595908,258046818,46948711,37069233,28567113,21339848,15365700,10616600,254499142,2639783,1524832,1524831,2639781,4403938,7006044,10616598,15365696,15365694,15365693,21339841,21339846,268206482,15365695,21339843,28567112,37069232,46948710,58315571,71031478,84595906,98521025,112516055,126386925,139762505,152483442,164351170,175144193,165230505,153429202,153429203,262218232,138969991,125631808,111817619,111817618,111817620 Dl.O(d2) = 141137525,153811187,164351172,261648866,126386926,112516058,98521026,84595908,258046818,46948711,37069233,28567113,21339848,15365700,10616600,254499142,2639783,1524832,1524831,2639781,4403938,7006044,10616598,15365696,15365694,15365693,21339841,21339846,268206482,15365695,21339843,28567112,37069232,46948710,58315571,71031478,84595906,98521025,112516055,126386925,139762505,152483442,164351170,175144193,165230505,153429202,153429203,262218232,138969991,125631808,111817619,111817618,111817620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13303297, s2 = 4105815, dlinesl.size( ) = 2 s1 = 13303297, s2 = 4105815, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13303297, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7033660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7033660, s2 = 5911967, int(edited[s2]) = 0 s1 = 7033660, s2 = 5911967, d1 = 27, d2 = 13 Dl.O(d1) = 261649091,262652099 Dl.O(d2) = 237378915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7033660, s2 = 5911967, dlinesl.size( ) = 2 s1 = 7033660, s2 = 5911967, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7033660, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 6748894, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14185759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14185759, s2 = 14920097, int(edited[s2]) = 0 s1 = 14185759, s2 = 14920097, d1 = 2, d2 = 12 Dl.O(d1) = 21423557 Dl.O(d2) = 58337380,58337379,71053431,256873010,98542513,258063774,126407163,139781698,152500840,164366744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14185759, s2 = 14920097, dlinesl.size( ) = 2 s1 = 14185759, s2 = 14920097, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14185759, Dl.E( ) = 66, 4.1e-05 seconds used appending s1 = 4735949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6796032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15964101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15964101, s2 = 9498420, int(edited[s2]) = 0 s1 = 15964101, s2 = 9498420, d1 = 8, d2 = 4 Dl.O(d1) = 243762925,243494794,243206487,242899197,242569190,242214806,267082841,241416418,240968224,240484104,239962567,239400149,266726549,237398223,236596311,235716539,234749095,233687455,232519675,231227482,229786696,228163680,226314614,224191149,221742205,264964969,211417718,264183667,263861451,184858362,175303414,164536469 Dl.O(d2) = 255037665,7067784,7067786,10698084,15471267,21243792,21243791,28455371,28455372,28472297,255391041,14451645,14451646,12060836,12060839,13525551,9256631,6062412,6062411,6065880,3795268,2273312,1318301,1318303,2273322,3794426,3784911,2267634,1315483,751948,427172,427174,751957,1317995,2272673,3794141,3790652,3790653,6058202,9250275,13508096,9242444,9242445,9238626,6050695,6050696,9238627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15964101, s2 = 9498420, dlinesl.size( ) = 2 s1 = 15964101, s2 = 9498420, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15964101, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 6964570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6964570, s2 = 8235981, int(edited[s2]) = 0 s1 = 6964570, s2 = 8235981, d1 = 31, d2 = 43 Dl.O(d1) = 260681661,262785831,164552390 Dl.O(d2) = 58583716,268922189,21490239,15484651,10707737,7073998,7073997,10707733,15484646,21490229,20893342,14989413,10320572,10320571,11674614,16716386,22953012,29555929,22210990,22210991,29555930,38121264,48034588,48768282,38848539,38848538,42748305,40841099,40841098,41468719,42255823,49268975,39343305,31469754,23973973,23973972,31469750,36606303,28132497,28132496,27186659,27186658,21393315,21393314,23110804,16852223,16852222,14538541,14538539,20263512,23776510,17446786,17446785,23776507,31261606,31241041,31241042,35182291,27093447,20194483,20194486,27093452,31569083,254697302,32447480,33332681,36437896,36437897,46291067,39916365,39916363,39916288,31240837,31240838,39916289,39850672,31168682,256507517,25674325,19052844,13601293,13601294,19052846,25674331,29177925,21867404,15842241,10978369,7266461,4582476,4582475,7266446,10978171,10978224,15842002,21928608,29249067,256910063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6964570, s2 = 8235981, dlinesl.size( ) = 44 s1 = 10155065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4445079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4446397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4446654, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14097750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6905393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9527520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4451195, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8493993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8493993, s2 = 11290606, int(edited[s2]) = 0 s1 = 8493993, s2 = 11290606, d1 = 36, d2 = 35 Dl.O(d1) = 260554983,140328242,261682091 Dl.O(d2) = 260168689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8493993, s2 = 11290606, dlinesl.size( ) = 34 s1 = 9245708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14983677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15937048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15937048, s2 = 10342721, int(edited[s2]) = 0 s1 = 15937048, s2 = 10342721, d1 = 8, d2 = 7 Dl.O(d1) = 33072059,33072061,42016102,50682680,40625467,31911356,31911357,29807313,29807312,38379146,40909303,51050976,62681504,75626160,89387242,258542480,131410184,144631267,157027640,168473827,178779625,187882579,195819756,200689619 Dl.O(d2) = 153216140,262516560,262972310,99326211,85381974,85381973,259960961,127188068,140534260,153216137,262021952,260329682,257838130,10936972,7236628,4562047,2743505,2743503,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285755,509769,903848,1589881,2698241,4491009,5285385,5285384,5261196,5261197,8191782,8197527,5962484,5962485,5314333,5314334,8230372,8230375,8230377,11286372,8235966,8197564,5267643,3222319,1888595,1888594,3200324,2788617,2788615,3223217,1889315,1078090,1078089,1889311,3223209,5268498,6854575,5242918,5242917,4625915,2786071,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,2775119,1609790,1609791,2775115,1609789,915898,516797,289975,160501,160499,289967,516778,915863,1609715,1898207,3235778,3225005,3225006,2782379,1613952,1613951,2782375,2777616,1613736,1613735,2781982,2888846,2888847,3245447,3174409,1858314,1858313,1909263,3236459,4627809,7326866,11031112,7324770,4625699,2785910,2785911,3249793,3261607,3226439,3226437,4628028,4597816,2766018,2766020,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776513,4611454,7304501,8211626,5282884,3236028,1898365,1898364,3236026,5282881,7314811,5219980,3184275,3184100,1863447,1063170,597624,333082,183341,100497,100498,183348,333100,597665,1063245,1863546,1863543,254233581,1613047,1894572,3230552,3246274,1905504,1905506,3246278,3231379,1895070,1081571,1081575,1895082,3231398,5277603,5267346,3223829,3223831,5269118,3229269,1897585,1083101,1083100,1897579,1655408,941878,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,610002,339343,339344,339370,610062,1086518,1903306,1903305,3243236,3202417,1875116,1069794,254180597,1916237,1916238,3261096,3206166,1877560,1877559,3206160,5092313,3090273,1804981,1612013,917106,917102,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,166964,166967,301503,537814,953865,1676560,254537159,11402570,14895361,11227888,7450094,7450092,8652449,5627911,3496958,2077920,1194248,1194247,2077910,3496941,5627872,8652476,5627997,5627996,7479181,7479182,11266573,15795616,18880787,18880785,17968362,17968360,20794311,16160552,16160554,13211393,9005667,5878769,3670159,3670161,5878778,9005683,13211417,18591324,13456345,13456344,18882850,13456649,13456650,13458251,9203391,6025460,3769450,2258454,2258453,3768816,3768821,3769330,5821796,5821792,5821773,5821777,8920986,13091023,18429911,255355800,42417258,36482328,36482329,257990606,21876430,29188129,37749220,255432984,47193706,47193707,58585084,66005179,68822322,71811305,72601547,59863678,48472218,48472217,59863677,51670491,41428851,41428850,33723389,33723388,42752665,47820095,47820094,47820096,256374076,21999251,15899801,15899802,21999253,29329633,37898162,47820104,57737291,46387445,46387446,48472208,48472209,59863667,59863671,59863670,256862824,28575867,21347004,15371607,10621465,10621464,15371606,21347003,20891158,14987482,10318972,10318973,14987484,20891161,28061614,28061615,36527507,46387439,47095842,37199964,28677188,21428768,15435881,10671221,10671222,15371613,10621469,7009819,4406758,4406759,7009820,10621470,15371615,16107047,254458910,7027342,7027343,10643749,15399839,21382534,28619175,29592428,29592328,22243719,16107062,11188044,11188045,268223431,29592329,29592280,22243680,22243681,19336938,13828176,9483968,6218941,6218942,9483970,267813266,26011116,19336899,19336900,26011117,33829150,38855172,30270784,30270782,38855168,48775162,60169518,72906362,72906361,86502882,100461101,114485953,272367308,33010889,256629264,64146249,255251386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15937048, s2 = 10342721, dlinesl.size( ) = 2 s1 = 15937048, s2 = 10342721, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15937048, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 16033871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3426305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8537641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14668681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8380128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4291998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4291998, s2 = 16231659, int(edited[s2]) = 0 s1 = 4291998, s2 = 16231659, d1 = 8, d2 = 12 Dl.O(d1) = 165251278 Dl.O(d2) = 570272,513106,513108,893483,909682,513110,287741,287740,511750,511749,288188,254085781,158890,158768,158767,287202,254122363,254231841,4582069,7265853,10977441,15840972,21927296,29247496,37812156,47734313,59132905,71871088,259348685,113397851,127256351,140602271,127256350,127256349,261693545,165096363,175821968,185327845,193621051,200728747,206726306,211681243,215730583,219079382,221907343,224334672,265857117,228276874,228276875,229888132,231319241,232592121,232592120,231308810,229877007,228264662,226428032,224319091,221889236,219058071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4291998, s2 = 16231659, dlinesl.size( ) = 2 s1 = 4291998, s2 = 16231659, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4291998, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 14840116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14840116, s2 = 12833789, int(edited[s2]) = 0 s1 = 14840116, s2 = 12833789, d1 = 8, d2 = 4 Dl.O(d1) = 29387915,37952808,258111077,258734711,259978141,261704631,165255597 Dl.O(d2) = 257843114,42651684,255704378,258468067,259089712,107598962,121968320,135889757,149109389,161395636,172576985,262987858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14840116, s2 = 12833789, dlinesl.size( ) = 2 s1 = 14840116, s2 = 12833789, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14840116, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 4293003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4293003, s2 = 7361341, int(edited[s2]) = 0 s1 = 4293003, s2 = 7361341, d1 = 92, d2 = 91 Dl.O(d1) = 165298364,175993961,185468761,193737172,200827858 Dl.O(d2) = 229775769,265844962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10239224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4296491, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11400478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7690606, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16219251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4113895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8609196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15352523, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8684504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4306496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4306496, s2 = 7752003, int(edited[s2]) = 0 s1 = 4306496, s2 = 7752003, d1 = 28, d2 = 41 Dl.O(d1) = 165838995 Dl.O(d2) = 274392539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4306496, s2 = 7752003, dlinesl.size( ) = 2 s1 = 4306496, s2 = 7752003, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4306496, Dl.E( ) = 78, 2.1e-05 seconds used appending s1 = 4474912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4474912, s2 = 15023845, int(edited[s2]) = 0 s1 = 4474912, s2 = 15023845, d1 = 17, d2 = 0 Dl.O(d1) = 176571977 Dl.O(d2) = 114250765,100216853,86249692,72648263,59907576,255967610,38599665,38599664,32095987,32095989,36544643,32928829,29824248,22456983,22456984,29824250,38396625,44588325,44588324,55437888,67780948,81250498,95311417,271959542,150516267,162636834,173659230,183446496,192002274,199362515,205589638,210740570,214947904,218408878,221316744,223807610,225966574,227850031,229504361,230974021,266196549,233480803,234561109,235544638,236440637,237258320,238002868,238680340,239301579 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3924610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8705019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8705019, s2 = 13741860, int(edited[s2]) = 0 s1 = 8705019, s2 = 13741860, d1 = 31, d2 = 20 Dl.O(d1) = 153665057,140998944,261718259,153665055,153665053,153665054,165445240,176126821,185591000,185590999,193849921,200929967,200929968,200929969,206903054,211837188,264745896,273872165,186024832,262742531,165959212,263177439,186024839,176604599,165959217,263177445,194237003,201271108,194237000,263177443,165959215,154200504,154200503,165959214,263177441,194236998,201271107,207191709,274185592,263177435 Dl.O(d2) = 128180355,141537699,262266451,154200466,261205973,128180272,141537697,260629189,100267688,100267689,114297410,128180305,141537718,154200480,141537747,128180333,114297438,114297437,114297407,100267686,86305950,86305949,259411541,72709031,72709033,86305929,72709003,269353545,256430089,11497302,268412138,961810,961809,1691372,2915653,4838439,7647383,11497289,255108843,255490031,25525295,33229910,25481175,25481176,33229913,38284761,48194026,49866821,49866820,256041972,42191078,48190358,38280934,29714195,29714196,38102132,48012688,59400284,72130813,85715395,99662936,113675510,127545970,140900501,153574073,165362858,176052789,185522311,178014200,167545984,167545985,272904880,178014202,167545986,155934015,143393784,130063740,130063739,116155520,102098254,88111236,74499461,74499460,88111234,260136995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8705019, s2 = 13741860, dlinesl.size( ) = 42 s1 = 14112174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8657436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8657436, s2 = 1519165, int(edited[s2]) = 0 s1 = 8657436, s2 = 1519165, d1 = 92, d2 = 75 Dl.O(d1) = 186028629,186028621,176608982 Dl.O(d2) = 38671522,255931795,22712719,29616542,22265332,16124263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8657436, s2 = 1519165, dlinesl.size( ) = 26 s1 = 4312613, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14991415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14991415, s2 = 16343534, int(edited[s2]) = 0 s1 = 14991415, s2 = 16343534, d1 = 62, d2 = 0 Dl.O(d1) = 264242872,194324394,263560464 Dl.O(d2) = 25881416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14991415, s2 = 16343534, dlinesl.size( ) = 2 s1 = 14991415, s2 = 16343534, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14991415, Dl.E( ) = 64, 1.69e-05 seconds used appending s1 = 7710486, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9035057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8766948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13664611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4484454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4484454, s2 = 2246726, int(edited[s2]) = 0 s1 = 4484454, s2 = 2246726, d1 = 2, d2 = 11 Dl.O(d1) = 176917627 Dl.O(d2) = 114695965,100650590,86677779,73073178,60332713,48934880,256455693,23016597,16776386,11729476,7830796,254807652,23016595,30421927,39011404,48934877,60332712,73073175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4484454, s2 = 2246726, dlinesl.size( ) = 2 s1 = 4484454, s2 = 2246726, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4484454, Dl.E( ) = 12, 3.81e-06 seconds used appending s1 = 4322931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4322931, s2 = 4896643, int(edited[s2]) = 0 s1 = 4322931, s2 = 4896643, d1 = 0, d2 = 24 Dl.O(d1) = 166492755 Dl.O(d2) = 201566302,194582948,194582947,201566301,207443596,212289922,216249902,274283883,219533035,219533032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4322931, s2 = 4896643, dlinesl.size( ) = 2 s1 = 4322931, s2 = 4896643, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4322931, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 7114104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7114104, s2 = 14206981, int(edited[s2]) = 0 s1 = 7114104, s2 = 14206981, d1 = 8, d2 = 18 Dl.O(d1) = 262752890 Dl.O(d2) = 261764586,177077826,186432603,177077825,177077822,166496661,166496660,261764590,186432605,177077827,166496666,154790273,142156133,128801325,114904011,114904010,128801322,142156128,154790267,166496658,272574516,194585884,186432608,177077828,166496666,154790273,142156133,142156132,154790270,142156131,128801324,114904011,100853251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7114104, s2 = 14206981, dlinesl.size( ) = 2 s1 = 7114104, s2 = 14206981, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7114104, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 13440723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4323503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4323503, s2 = 5815024, int(edited[s2]) = 0 s1 = 4323503, s2 = 5815024, d1 = 9, d2 = 3 Dl.O(d1) = 166504136,262748368,194592486,201575225,207452285,212298357,216258032,219540869,216258030,216258031 Dl.O(d2) = 219540873,216258033,216258032,219540869,216258030,216258031,219540872,222314336,222314334,222314335,224695135,226762470,228565080,230149884,231556812,232818031,233958673,234998197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4323503, s2 = 5815024, dlinesl.size( ) = 2 s1 = 4323503, s2 = 5815024, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4323503, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 6973778, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7045861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16318045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7046016, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6863904, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7203423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16084365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16084365, s2 = 7733964, int(edited[s2]) = 0 s1 = 16084365, s2 = 7733964, d1 = 43, d2 = 30 Dl.O(d1) = 23442857,17168636,12071798,12071797 Dl.O(d2) = 274007434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16084365, s2 = 7733964, dlinesl.size( ) = 2 s1 = 16084365, s2 = 7733964, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16084365, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 7266598, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7266598, s2 = 1557121, int(edited[s2]) = 0 s1 = 7266598, s2 = 1557121, d1 = 28, d2 = 7 Dl.O(d1) = 264753730,263891962 Dl.O(d2) = 39407396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7266598, s2 = 1557121, dlinesl.size( ) = 2 s1 = 7266598, s2 = 1557121, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7266598, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 15007469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15007469, s2 = 3402861, int(edited[s2]) = 0 s1 = 15007469, s2 = 3402861, d1 = 84, d2 = 65 Dl.O(d1) = 206804672,200819304,193727187,185456895 Dl.O(d2) = 112760546,126616042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15007469, s2 = 3402861, dlinesl.size( ) = 14 s1 = 4336091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7048478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7048478, s2 = 7299386, int(edited[s2]) = 0 s1 = 7048478, s2 = 7299386, d1 = 50, d2 = 73 Dl.O(d1) = 261823865 Dl.O(d2) = 274586372,274501648,221693802,265144674,273962576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7048478, s2 = 7299386, dlinesl.size( ) = 44 s1 = 8682604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8775610, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11448392, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4345027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14994839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15635536, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14703449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14703449, s2 = 14002133, int(edited[s2]) = 0 s1 = 14703449, s2 = 14002133, d1 = 167, d2 = 210 Dl.O(d1) = 29820697,29820698,38392924,36996107,28498676,21281017,15318277,10580104,10580105,15318280,21281020 Dl.O(d2) = 3350610,3350614,5450455,8441059,8436429,8436430,5494809,5494808,8424588,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,1970244,1124979,630930,350315,191972,191974,350322,350133,350134,630553,1124219,1968629,3336264,3336262,5427153,8410228,5443857,5443856,8432450,12463725,268443665,40166577,50190886,59739937,48356479,268948551,29897754,22542253,22542252,22542254,22542253,16366907,11389999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14703449, s2 = 14002133, dlinesl.size( ) = 2 s1 = 14703449, s2 = 14002133, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14703449, Dl.E( ) = 214, 5.91e-05 seconds used appending s1 = 9663301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11423004, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15971424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14129694, s2 = 11500914, int(edited[s2]) = 0 s1 = 14129694, s2 = 11500914, d1 = 18, d2 = 3 Dl.O(d1) = 257686359 Dl.O(d2) = 167825598,178266743,187479594,263649425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129694, s2 = 11500914, dlinesl.size( ) = 32 s1 = 7051987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7051987, s2 = 10339117, int(edited[s2]) = 0 s1 = 7051987, s2 = 10339117, d1 = 49, d2 = 78 Dl.O(d1) = 261867145 Dl.O(d2) = 478488,475867,475865,843368,476627,269233,149240,82067,82068,82089,80710,44191,44190,80707,82255,44997,24982,13965,7685,7684,13962,24974,44686,44687,81649,148489,148509,148508,268087,476536,476652,476653,269874,269872,474468,841315,847182,478411,269252,269254,478417,478459,475600,267427,267426,475597,837144,837143,837748,837749,842413,475141,267135,148346,148347,149289,82092,44917,24945,13949,7678,7676,13946,24938,44907,44988,82236,149536,269779,479343,841374,474512,474511,475005,477762,477763,846197,1489611,1481798,837692,472076,472075,837688,475567,475569,843025,1488516,1488515,1489134,2572156,1480903,1480905,844285,844284,1491088,1489271,1489272,1493653,2580926,2580963,1486950,841291,841293,841228,841229,845683,1488791,842498,842496,845956,477599,477600,845961,1493601,2590625,4330188,254222169,1494606,2591746,4331369,4340066,4331084,2591448,1494479,846998,846711,478099,269157,269161,478265,846995,846993,846927,846926,844425,844424,1491313,2580890,1486892,841259,478113,478111,846735,1490698,844025,476287,267933,148412,148414,267940,476302,844051,846956,1314127,1314128,2265332,2591500,4322989,4311812,2578345,1485101,1485104,2578352,2579251,2578375,1485116,1485118,1490630,1490629,2586050,2586323,1490815,1490813,847048,478280,478281,847054,1485083,1485084,1485217,1485216,2578541,4311735,6869810,255013333,6870815,4312733,2579046,2579047,4312734,254327440,2578460,2578459,2579034,2579035,2579163,2579162,4312362,2578753,1485363,840239,473815,266313,147466,147465,266310,473808,840228,1485346,2578729,4312336,6870410,6871823,4313491,2579580,2579579,4313486,4312344,2578735,2578736,4312346,6870421,267881958,267881956,36726211,46613730,57989907,65567958,53543146,43064042,34006153,26164344,19463875,13929385,9560859,6273576,6273577,9560861,13929390,16048275,22172359,256386659,22172344,16048266,16048267,22172346,29513789,24298877,24298878,31814310,40510329,50546037,47991028,38078293,29513772,29513774,38078296,47991033,257594793,73284950,72113719,59381096,53543173,43064064,43064062,53543170,65567988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7051987, s2 = 10339117, dlinesl.size( ) = 44 s1 = 10224327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11393736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470656, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11762784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11368432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368432, s2 = 15405564, int(edited[s2]) = 0 s1 = 11368432, s2 = 15405564, d1 = 30, d2 = 41 Dl.O(d1) = 183384821 Dl.O(d2) = 26585406,34572372,30769899,23346907,23346909,29313786,28655791,21412336,15423391,10662160,7041379,7041380,10662164,15423399,17174809,12075897,8120413,5202408,3173962,3173963,5202414,8120427,12075928,12075804,8120375,8120376,8622648,8622649,12692794,17915416,24298176,31813653,34292181,29669977,29669976,31321526,34292065,43391641,39488799,30882765,30882764,28890965,21614850,21614849,28890963,37432613,30139802,22754018,22754017,16542859,16542858,22754023,30139804,38719371,48637276,60030228,57625540,46281073,36428167,27969501,27969499,257994009,83840773,97698213,111616536,125415255,138738678,260924331,107088568,92748196,259083567,65380299,53376347,256686937,26042372,255293345,9501571,256169161,42909941,53376345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368432, s2 = 15405564, dlinesl.size( ) = 8 s1 = 14128312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15077875, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16024673, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4359630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4359630, s2 = 14229161, int(edited[s2]) = 0 s1 = 4359630, s2 = 14229161, d1 = 20, d2 = 30 Dl.O(d1) = 168493090 Dl.O(d2) = 261281490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4359630, s2 = 14229161, dlinesl.size( ) = 30 s1 = 3987216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15100065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15100065, s2 = 4522965, int(edited[s2]) = 0 s1 = 15100065, s2 = 4522965, d1 = 12, d2 = 2 Dl.O(d1) = 255608685,18073245,18471267,18073021,12812736,12812735,18073019,24500814,19482743,18067324,12809146,12809143,13791013,12829599,12829598,13122448,12841399,8732562,5685215,3536610,2105121,2105122,3536611,5685220,3550625,3550624,5705697,8762941,8942417,6882980,6882982,7756293,4912143,4912146,7756301,5669726,5669727,8709251,8718335,5674950,5674955,8718262,6537217,4095768,3645018,2178855,2178857,3645027,5840992,5669973,5669978,8709699,8762364,12062004,8110253,8110255,12062012,12884934,8763373,5705973,5705969,8763363,8763408,8790746,5725915,5725916,8790748,12922444,18218881,24685601,32296740,41107429,51287530,62962973,75944349,89723165,103828262,117974495 Dl.O(d2) = 179251660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15100065, s2 = 4522965, dlinesl.size( ) = 2 s1 = 15100065, s2 = 4522965, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15100065, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 8730840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8730840, s2 = 10761306, int(edited[s2]) = 0 s1 = 8730840, s2 = 10761306, d1 = 44, d2 = 24 Dl.O(d1) = 264531012,202967194,263583436 Dl.O(d2) = 125751587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8730840, s2 = 10761306, dlinesl.size( ) = 2 s1 = 8730840, s2 = 10761306, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8730840, Dl.E( ) = 56, 1.72e-05 seconds used appending s1 = 4364604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4525880, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14900762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14900762, s2 = 14277518, int(edited[s2]) = 0 s1 = 14900762, s2 = 14277518, d1 = 0, d2 = 0 Dl.O(d1) = 9116484,5964803,3729979,3729980,5964804,7686576,7686575,11552507,269775086,13069749,13069748,13069750,254634465,3625238,2164996,1252862,712421,402324,225150,225149,389633,267758291,2108950,3542314,5693828,254434081,3625231,5811747,8906106,13069743,18400523,18400522,256090987,32554519,32554520,41413386,51654978,63398390,76442332,90272467,104423536,260825135,132445112,145689038,158088370,262894201,179718783,188718327,196517162,203194453,208793126,203194459,196517169,188718336,179718792,179718793,169495844,158088374,158088373,169495842,179718791,273427719,263311837,188718334,179718790,179718789,179718851,179718852,188718375,196517189,203194455,196517163,188718330,179718796,169495889,158088411,145689066,145689065,158088410,158088386,145689049,132445118,118606505,104423538,104423539,118606506,132445120,145689056,262431547,169495867,179718831,273330520,175186874,263495697,193117830,193117832,184759640,263096478,164399173,261651622,139819749,126446874,112578093,98584119,84660646,71097789,71097790,71097792,257439258,47010212,37123275,28612425,21376895,15395245,15395244,21376894,28612423,37123272,47010206,52055798,41741099,41741100,48937866,39014823,30426167,256456007,28846820,28247144,21047062,21047061,28247142,36743101,44362511,44362510,41742033,32820912,25116755,25116639,25116640,25116740,25116645,255243889,8994092,8994093,13193321,18565888,25116648,32111594,32111595,28247149,21047067,15117759,15117761,16260540,14339784,9851568,9851567,14339779,20021245,26904179,254799648,30292004,254548386,25116778,18566000,13193391,8994134,5872129,5872131,8994136,13193396,16260513,16260514,14339766,9851558,6471098,6471097,9851554,254533303,4744408,7505676,11305161,7505711,4744430,2859297,1659459,1659460,2859303,4744442,7505741,11305261,16260565,22427320,29793277,32820887,29793075,29793074,29793099,22427119,22427120,22427282,16260536,16260537,13193408,13193409,18566030,18565981,18565982,22427122,18566058,255644117,268632010,11305167,7505679,4744410,4744413,7363309,7363308,255074525,257503899,47997245,38085111,29520626,22178176,16052454,11146000,7392880,4670576,2814115,1632657,1632658,2814117,4670832,7393327,11146744,16053607,255891037,38087021,47998983,269806631,85704395,99652771,113666326,127537874,113666329,113666330,261162997,113666329,99652773,99652772,113666328,127537877,140893224,153567515,165356685,176046796,185516786,193781074,185573642,176109338,165427393,153646542,140979304,127629785,113761007,99746721,85793028,72199197,59461699,59461698,71048740,256320618,37084078,28579690,21350254,21350253 Dl.O(d2) = 9116484,5964803,3729979,3729980,5964804,7686576,7686575,11552507,269775086,13069749,13069748,13069750,254634465,3625238,2164996,1252862,712421,402324,225150,225149,389633,267758291,2108950,3542314,5693828,254434081,3625231,5811747,8906106,13069743,18400523,18400522,256090987,32554519,32554520,41413386,51654978,63398390,76442332,90272467,104423536,260825135,132445112,145689038,158088370,262894201,179718783,188718327,196517162,203194453,208793126,203194459,196517169,188718336,179718792,179718793,169495844,158088374,158088373,169495842,179718791,273427719,263311837,188718334,179718790,179718789,179718851,179718852,188718375,196517189,203194455,196517163,188718330,179718796,169495889,158088411,145689066,145689065,158088410,158088386,145689049,132445118,118606505,104423538,104423539,118606506,132445120,145689056,262431547,169495867,179718831,273330520,175186874,263495697,193117830,193117832,184759640,263096478,164399173,261651622,139819749,126446874,112578093,98584119,84660646,71097789,71097790,71097792,257439258,47010212,37123275,28612425,21376895,15395245,15395244,21376894,28612423,37123272,47010206,52055798,41741099,41741100,48937866,39014823,30426167,256456007,28846820,28247144,21047062,21047061,28247142,36743101,44362511,44362510,41742033,32820912,25116755,25116639,25116640,25116740,25116645,255243889,8994092,8994093,13193321,18565888,25116648,32111594,32111595,28247149,21047067,15117759,15117761,16260540,14339784,9851568,9851567,14339779,20021245,26904179,254799648,30292004,254548386,25116778,18566000,13193391,8994134,5872129,5872131,8994136,13193396,16260513,16260514,14339766,9851558,6471098,6471097,9851554,254533303,4744408,7505676,11305161,7505711,4744430,2859297,1659459,1659460,2859303,4744442,7505741,11305261,16260565,22427320,29793277,32820887,29793075,29793074,29793099,22427119,22427120,22427282,16260536,16260537,13193408,13193409,18566030,18565981,18565982,22427122,18566058,255644117,268632010,11305167,7505679,4744410,4744413,7363309,7363308,255074525,257503899,47997245,38085111,29520626,22178176,16052454,11146000,7392880,4670576,2814115,1632657,1632658,2814117,4670832,7393327,11146744,16053607,255891037,38087021,47998983,269806631,85704395,99652771,113666326,127537874,113666329,113666330,261162997,113666329,99652773,99652772,113666328,127537877,140893224,153567515,165356685,176046796,185516786,193781074,185573642,176109338,165427393,153646542,140979304,127629785,113761007,99746721,85793028,72199197,59461699,59461698,71048740,256320618,37084078,28579690,21350254,21350253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14900762, s2 = 14277518, dlinesl.size( ) = 2 s1 = 14900762, s2 = 14277518, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14900762, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15698737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8587054, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14113373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11459192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4372070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3549557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6842291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4679119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4679119, s2 = 6845614, int(edited[s2]) = 0 s1 = 4679119, s2 = 6845614, d1 = 0, d2 = 4 Dl.O(d1) = 189518157,264045175,177078875,166497850,154791651,142157633,260663967,100855152,86874262,73261923,60516257,49113842,39184865,30587156,30587155,39184864,49113840,60516256,73261922,86874261,100855151,114905791,261238929,154791649,166497848,263202645,194586769,201569760,207446965,264790517,219535751,222309450,224690763,223783067,221289751,218378945,274092300,264193886,264193884,191953791,183391840,173597914,162568023,150439887,137400515,123669474,109477754,95223795,81167380,67701587,257471888,44515229,255856440,20159052,14461892,9949682,9949683,14461901,11768427,7857109,4986840,3012105,3012103,4986830,7857078,11768376,16828951,23081356,30494866,30494867,30496233,30496234,23997189,20159475,14462183 Dl.O(d2) = 81165427,67699689,67699688,81165426,81165424,67699685,55359756,55359757,67699686,259163943,109475972,123667938,137398994,150438406,162566401,173596177,183389947,263803381,205549122,210703505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4679119, s2 = 6845614, dlinesl.size( ) = 2 s1 = 4679119, s2 = 6845614, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4679119, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 4534548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7057109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7057116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7057116, s2 = 11517318, int(edited[s2]) = 0 s1 = 7057116, s2 = 11517318, d1 = 68, d2 = 74 Dl.O(d1) = 261962267 Dl.O(d2) = 265056491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7057116, s2 = 11517318, dlinesl.size( ) = 56 s1 = 16275754, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8595621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13808131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14195703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14195703, s2 = 15971423, int(edited[s2]) = 0 s1 = 14195703, s2 = 15971423, d1 = 39, d2 = 56 Dl.O(d1) = 91475010,105699842,119935679 Dl.O(d2) = 29998719,37468258,35357001,33104426,29999582,28927696,21651040,15617088,15617087,21651036,28927688,37468450,38571395,48483773,38570129,30000512,22631010,22631009,30000509,38571219,42053548,33104402,33104401,38570416,29999669,29999560,29999557,30184284,38570298,29999542,29999540,30184299,30000923,22631497,16444446,16444444,22631491,29998715,22630669,22630668,30000041,30000049,29999628,29999629,38570377,29999640,22630342,16443648,255484623,13380014,13380016,16444260,16577921,11558552,7691864,7691861,11558547,11457161,11457162,16443862,16444123,22631079,29999070,22629894,22629895,22629968,22629848,22629849,22629944,16443381,16443383,22629953,29999053,29999055,38569834,269351329,48484630,38571390,30000814,30000813,28490045,28490050,26575057,19772991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14195703, s2 = 15971423, dlinesl.size( ) = 2 s1 = 14195703, s2 = 15971423, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14195703, Dl.E( ) = 58, 4.2e-05 seconds used appending s1 = 4383008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4383008, s2 = 8888155, int(edited[s2]) = 0 s1 = 4383008, s2 = 8888155, d1 = 15, d2 = 10 Dl.O(d1) = 170833423,180955786,189837722,197496415,204017241,209457382,209457383,209457384,213921189,264670958,217586057,217586054 Dl.O(d2) = 233243727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4383008, s2 = 8888155, dlinesl.size( ) = 2 s1 = 4383008, s2 = 8888155, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4383008, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 11391720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4208615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4208615, s2 = 11229950, int(edited[s2]) = 0 s1 = 4208615, s2 = 11229950, d1 = 21, d2 = 18 Dl.O(d1) = 159551796,147192675,133969914,261983073,170879710 Dl.O(d2) = 260274836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4208615, s2 = 11229950, dlinesl.size( ) = 14 s1 = 7060192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14684779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15179860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7158725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7071461, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16072111, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11379028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379028, s2 = 6255019, int(edited[s2]) = 0 s1 = 11379028, s2 = 6255019, d1 = 87, d2 = 45 Dl.O(d1) = 22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,15934683,15934687,17124459,16944443,16944445,23216678,29281623,21956556,15864623,10995764,7278968,4590600,4590599,7278965,10995754,10995777,15864650,21956593,29280695,29280696,28810338,22823630,16603173,11579609,11579610,16603178,18130181,12855726,8742111,5691178,5691177,8742104,12855713,18130155,24571428,30215756,25856902,19199980,13712712,9392154,6153008,3849968,3849966,6153004,6153142,9392403,13713089,19200925,25858256,33664461,42695212,256920946,53145737,257501196,270316160,121005518,134801798,261704628,160167574,171385755 Dl.O(d2) = 244897505,244713863,267304094,244081246,243838552,243577231,243295611,242994013,242671990,242671989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379028, s2 = 6255019, dlinesl.size( ) = 80 s1 = 7747903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14700566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4396963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4554468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4554468, s2 = 13245170, int(edited[s2]) = 0 s1 = 4554468, s2 = 13245170, d1 = 38, d2 = 50 Dl.O(d1) = 182373402 Dl.O(d2) = 254098730,7745897,11628254,16661394,18958443,17564164,12392858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4554468, s2 = 13245170, dlinesl.size( ) = 14 s1 = 8428795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8428795, s2 = 9671907, int(edited[s2]) = 0 s1 = 8428795, s2 = 9671907, d1 = 72, d2 = 31 Dl.O(d1) = 120931066,106678886,106678885,120931064,120931069,259672214,260883194,120147756,260287844,147854187,160107903,171333588,261984838,181361553,175319577,273240340,182412203,172460957,161261424,148956317,148956316,161261407,161261408,172460946,182412195,191114752,262487360,189892841,262941946,147211570,133989119,260287844,147854187,160107903,171333588,261984838,181361552,175319580,273333337,193213921,190169823,190169824,262482838,261449982,147854197,259045242,106678901,259045240,147854195,261449980,272706236,171333598,181361551,190169803,190169820,273797385,273240346 Dl.O(d2) = 268599772,19354453,13842574,9495341,6227703,3899029,3899028,6227701,9495335,13842562,16929679,16929678,23198540,29515623,30175255,22786522,22786523,16855183,16855184,23114351,30532937,33853153,33853152,255890583,22173964,21177126,21177128,28397245,28397257,36894791,38079964,38079965,46781518,42168449,33208564,33208562,257200151,46773019,41387544,41387545,51613623,52304043,49237517,39310723,30713042,23296506,22733456,22733455,30114078,29515456,29515455,38079932,42631896,42074293,42074292,42074300,42631889,42631929,36909004,28411623,28411624,36909005,257422049,58154192,46786683,36909069,28411670,28411668,36909067,46774925,46774926,58142745,58154151,58154165,46786646,36909029,36909028,46786643,46786660,36909043,28411654,21190074,15227128,15227129,21190075,28411659,36909053,46786667,36973040,28475020,21255325,15290674,10555688,10555689,15290677,19695656,19695657,18155714,12874649,12874650,12874750,12874751,255615747,256582249,33665154,256674849,53146585,60508893,51113568,51113570,62745049,257647490,58153428,49871110,39848858,39848857,46841372,257426309,67682958,55343206,44496859,35119460,27032558,27032557,35119458,257313465,61353264,256511128,42869912,42869914,50522985,50522984,55343122,44496780,39848850,31166948,23678725,17358584,12228720,268108949,23678731,21411583,15422870,15422871,21411590,18723198,13328547,13328546,18723192,25297601,33023895,41966771,52307173,51496949,51496948,42753155,42753156,43852290,34580710,34580709,30679518,30679519,39276440,49203068,53453128,49203062,49203063,53366247,42900141,33855038,268768835,43393995,43393994,53919129,49203112,39276485,39276484,40808907,40808908,47027827,53453142,42979083,33925623,256032362,30410861,25924101,19262290,19262291,25924105,19681472,14109785,9705889,6384308,6384306,9705885,14109780,19681468,26416886,33735392,25928312,19266300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8428795, s2 = 9671907, dlinesl.size( ) = 2 s1 = 8428795, s2 = 9671907, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8428795, Dl.E( ) = 76, 2.98e-05 seconds used appending s1 = 4399241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4226280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9205915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9205915, s2 = 15712134, int(edited[s2]) = 0 s1 = 9205915, s2 = 15712134, d1 = 7, d2 = 4 Dl.O(d1) = 122255408,122255409,262053749 Dl.O(d2) = 191512592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9205915, s2 = 15712134, dlinesl.size( ) = 2 s1 = 9205915, s2 = 15712134, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9205915, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13573383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4403904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10229364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8719371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8719371, s2 = 7264884, int(edited[s2]) = 0 s1 = 8719371, s2 = 7264884, d1 = 81, d2 = 75 Dl.O(d1) = 205374206,199115309,263663678 Dl.O(d2) = 264735149,273853797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8719371, s2 = 7264884, dlinesl.size( ) = 14 s1 = 14728747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14972949, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11448550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7721432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7064470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7064470, s2 = 14688284, int(edited[s2]) = 0 s1 = 7064470, s2 = 14688284, d1 = 26, d2 = 7 Dl.O(d1) = 262080039 Dl.O(d2) = 119948368,260275549,91490225,91490224,105713852,107960629,93523141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7064470, s2 = 14688284, dlinesl.size( ) = 2 s1 = 7064470, s2 = 14688284, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7064470, Dl.E( ) = 48, 1.72e-05 seconds used appending s1 = 10352841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10352841, s2 = 8666403, int(edited[s2]) = 0 s1 = 10352841, s2 = 8666403, d1 = 17, d2 = 11 Dl.O(d1) = 256218464,257908404,259157784,262083297 Dl.O(d2) = 183332642,191900517,199270710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10352841, s2 = 8666403, dlinesl.size( ) = 12 s1 = 16191793, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14755704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8602847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4417422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15980765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15980765, s2 = 8435106, int(edited[s2]) = 0 s1 = 15980765, s2 = 8435106, d1 = 70, d2 = 72 Dl.O(d1) = 23447710,17171987,12073948,268104359,12995152 Dl.O(d2) = 55678280,257890370,95600409,259767244,260975796,260382112,109802779,109802773,109802774,123939159,260975798,58088454,58088453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15980765, s2 = 8435106, dlinesl.size( ) = 52 s1 = 14993530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14993530, s2 = 8557991, int(edited[s2]) = 0 s1 = 14993530, s2 = 8557991, d1 = 41, d2 = 64 Dl.O(d1) = 55698462,44791163,44791164,55698463,68095800,81585592,95619623,260419145 Dl.O(d2) = 263446295,183514040,192059071,199412068,205634069,210781364,214985846,218443745,221348546,265517419,227873617,229526052,230993848,230993846,230993847,232309305,233497348,266400461,235558428,236453391,266646323,266780001,238014325,237270481,236453394,236453393,237270478,237658494,236881942,236027875,235088093,266253305,231668359,230275365,230275364,265753719,224884257,222530928,219790996,216544846,212630605,212630606,265243458,187044881,177770993,167276792,155645237,262337266,159242316,262808994,115863773,101817194,87842718,74237440,259020734,23801798,256517039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14993530, s2 = 8557991, dlinesl.size( ) = 44 s1 = 14674939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14674939, s2 = 11716959, int(edited[s2]) = 0 s1 = 14674939, s2 = 11716959, d1 = 39, d2 = 37 Dl.O(d1) = 260843098,123967017,123967018,271975684 Dl.O(d2) = 64389606,270517993,105712476,260247164,119191362,272101293,55701772,44794251,35369607,35369606,258553299,95622903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14674939, s2 = 11716959, dlinesl.size( ) = 22 s1 = 15064393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7315673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7161096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4716654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7191495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6978650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6978650, s2 = 11303462, int(edited[s2]) = 0 s1 = 6978650, s2 = 11303462, d1 = 53, d2 = 104 Dl.O(d1) = 260879366 Dl.O(d2) = 264476858,263509272,146764776,146764777,146764773,261956651,159138303,159138302,170480419,170480418,262917287,263509272,146764776,146764777,146764773,261956651,159138300,159138301,262917287,263509272,146764776,146764777,146764773,261956651,159138300,159138301,262917287,263509272,146764776,146764777,260851867,105401851,91180033,269980835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6978650, s2 = 11303462, dlinesl.size( ) = 8 s1 = 8435734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9506938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4577299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8604537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7094871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15276883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4582881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15006191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4584576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4584797, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5346114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14752515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123522, s2 = 7558200, int(edited[s2]) = 0 s1 = 14123522, s2 = 7558200, d1 = 21, d2 = 13 Dl.O(d1) = 71613842,58894114,47514386,47514385,47514389,37609582,37609581,29060405,21764846,21764845,29060402,37609577,256896017,39143792,39143793,42097907,37915689,29346682,22014616,15913011,15913010,22014615,22708652,29060225,21764690,15708337,15708336,21764689,29060223,36880782,28384273,21166341,15209305,15209306,21166343,28384275,36880783,46759500,58127825,70842278,70842275,70842276,259280609,112291397,126151603,139527092 Dl.O(d2) = 7301053,4605478,2771675,1607442,914458,516078,516080,914462,914473,1607470,1656891,2854472,1656541,942535,942534,1656536,2729867,2729868,4541180,5303427,7136042,7136041,8231203,12200244,10578802,6978367,4384361,2626264,2626265,4384363,5285536,3237871,1899557,1084252,608944,338838,186077,101752,101753,186083,338862,608991,1084332,1899680,1090573,615220,342023,342020,615213,1095884,1090514,612287,267755127,254265867,1098119,616412,254134219,1913973,1093063,1093062,1913971,1097779,616211,616213,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,2998188,1741294,989491,989489,1741289,2998181,3248684,3248699,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335260,184352,184348,335249,601978,1071259,1877774,1617737,1617738,2788391,4619146,4619144,7317109,11042587,10927943,7229181,7229182,10927944,15775997,12135867,8165774,5235526,3195688,1870634,1870635,1872139,1872140,3198246,5239102,8170058,12140622,12158442,8189011,5258558,3214317,1882973,1074267,1074266,1882970,3214310,4750796,5243759,3202386,3202385,3520453,2889073,1676795,953993,537895,301547,166962,166967,301504,537815,953868,1676567,2888669,4792252,7576851,10025851,14569376,10025572,6589127,6589117,6589116,10025550,14569342,10779405,7122446,4484490,4484492,4484666,4484667,7122762,10779462,15582599,15583204,10779877,10779880,15583213,10779990,7122798,4484689,4484688,7122792,10779976,10780012,10780013,15579898,10777422,10777421,15578532,10776415,10776412,10779314,7122386,4484457,4484459,7122395,10779330,255415129,17665192,12491707,12491706,15583010,15583009,21612242,28745322,21487146,15482678,10706585,10706583,10706595,10706596,15482537,15482539,15582426,15582424,21609015,21609016,15901928,11024141,7298848,4603704,254232821,913843,254163919,2770364,4603695,254173292,15901892,16987838,11902714,11902719,16987849,22111536,15999495,11107445,7366853,7366852,11107434,15077836,16000323,16000320,22110985,22110984,29444737,30541548,23122661,16862469,11794262,11794261,10399864,6855558,6855557,10399862,15077769,16997467,16997466,15077757,15077756,20991341,16987855,16987856,23129579,16869788,16869785,23130225,22147089,22147090,23131843,23126468,16866549,11798104,7879305,5003111,3023997,1758414,1001078,563959,563958,1001074,1758407,3023982,4682211,3023932,3023933,5003019,7879188,254102358,11802534,254128274,11129658,7882121,7882120,254173462,16083051,11169341,7410072,267768276,16028082,11797969,254373626,20286523,14558832,10018217,6584686,6584685,6583550,4663983,2809871,254350349,7382335,10015964,10015963,267899216,10607133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123522, s2 = 7558200, dlinesl.size( ) = 2 s1 = 14123522, s2 = 7558200, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14123522, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 11468008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468008, s2 = 2086672, int(edited[s2]) = 0 s1 = 11468008, s2 = 2086672, d1 = 28, d2 = 31 Dl.O(d1) = 263329419,196888887,273524661,174975961,164158128,152272603,139540786,126164980,260503075,98321456,98321455,112304309 Dl.O(d2) = 23052513,30460299,39049911,48971557,60367305,73106603,86712157,100688398,259044248,72169516,59430988,48038917,38125693,29560225,22214869,22214868,23907650,268104224,267904422,12380028,8382785,8382786,10562655,12375006,12378419,8364579,5398725,5398727,8364569,12378399,17548351,21878775,17395831,16801620,12259084,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788892,3467991,2056382,2056383,3467996,5399484,5399483,8365918,5590071,3468039,3468037,5590068,8602345,9647129,9647130,12667036,12247881,8272037,5337665,3281154,1930027,1930026,3281151,267908803,267961992,23703427,31192805,31503655,24004984,23916172,23916173,31208071,23721605,17397736,17397735,12260532,12260534,12385353,12385356,10465079,6898189,4330246,4330248,6898193,10465084,8385588,8385589,8581585,12639255,17848010,23728561,23304272,23276436,17018010,17018011,23276441,30691255,31410727,23920827,23920828,30858679,23716299,17392508,12256593,8277588,8277589,12256597,17392514,23716305,254726120,31218698,23734698,22343269,268379964,23725052,17555289,12384718,12384717,17555287,23734763,21285674,15321641,10582507,10582508,12263092,17401166,23725033,23705185,23705184,23920831,23724960,17401085,17392505,12256593,8277588,8277589,12256597,17392514,23716305,254726120,31407511,28504328,21285676,15321642,10582507,10582509,15321643,21285677,28504330,31210309,31210310,31210708,23724960,17401085,17392505,12256593,8277588,8277589,12256597,17392514,23716303,31203853,27036178,20143264,20143262,27036174,35123381,44501254,55347607,67687278,60281272,48887810,38967924,30381990,30381991,32439658,32439657,41277643,51490194,58183087,58183088,67689587,55349910,48887808,48887807,60281271,257232188,97994832,84119207,70582149,57880672,57880673,70582151,59023178,59023179,71766918,70454166,57759165,57759166,70454167,58648971,47256964,37347497,37347496,47256962,44554040,44554041,55400641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468008, s2 = 2086672, dlinesl.size( ) = 22 s1 = 15715015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7069968, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4434983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4589591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7166824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7166824, s2 = 16175515, int(edited[s2]) = 0 s1 = 7166824, s2 = 16175515, d1 = 112, d2 = 150 Dl.O(d1) = 263487441 Dl.O(d2) = 261454859,120253515,259677755,77924975,64734160,64447531,64447532,77615453,91544427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7166824, s2 = 16175515, dlinesl.size( ) = 2 s1 = 7166824, s2 = 16175515, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7166824, Dl.E( ) = 152, 5.22e-05 seconds used appending s1 = 8607607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7707058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15735243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8608261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16396637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15816471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15816471, s2 = 9508579, int(edited[s2]) = 0 s1 = 15816471, s2 = 9508579, d1 = 13, d2 = 11 Dl.O(d1) = 210655566,205495612,205495611,210655565,214871143,218339598,218339605,265136955,265510079,227804012,229461349,230933712,232253101,233443899,234525506,235511010,236410185,266642785,238658987,239282040,239855122,240384053,240874736,241329208,241750256,267112659,242835750,243148213,243441106,243713487,243965342,244199615,267338995,244808536,244652288,244452795,244238467,244007000,243758086,243489314,243200443,242892545,242561968,242207116,241823274,241407536,240958480,240473623,239951288,239387901,238777176,238112587,237382323,236578663,235696482,234726280 Dl.O(d2) = 126436074,126436073,139809335,262169869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15816471, s2 = 9508579, dlinesl.size( ) = 2 s1 = 15816471, s2 = 9508579, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15816471, Dl.E( ) = 16, 1.41e-05 seconds used appending s1 = 7136980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7155659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15732219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10349899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8620415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15944257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6994795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7072481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7139449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7139449, s2 = 7598540, int(edited[s2]) = 0 s1 = 7139449, s2 = 7598540, d1 = 21, d2 = 18 Dl.O(d1) = 263112424,184980808 Dl.O(d2) = 268925276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7139449, s2 = 7598540, dlinesl.size( ) = 20 s1 = 4600880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4600880, s2 = 2833809, int(edited[s2]) = 0 s1 = 4600880, s2 = 2833809, d1 = 32, d2 = 15 Dl.O(d1) = 184983567,175439687,272839456,140151850,140151851,152845894,152845891,152845892,152845893,152845898,152845897,152845896,152845898,140151853,260543184,112947682,126801639,126801635,112947680,112947681,126801636,140151846,140151847,140151839,140151840,140151842,126801629,126801628,140151840,140151844,126801637,126801636,140151846,126801633,112947679,98958594,85033672,71461762,58732024,47344193 Dl.O(d2) = 85011473,98937058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4600880, s2 = 2833809, dlinesl.size( ) = 12 s1 = 4448751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6977226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15101934, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14766266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7162097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16371387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12055232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9611815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9611815, s2 = 11088838, int(edited[s2]) = 0 s1 = 9611815, s2 = 11088838, d1 = 27, d2 = 31 Dl.O(d1) = 219916207,222640136,224979169,227011306,228784458,230077694,228486436,265732476,224596177,265215578,264778578,207248311,201333503,201333502,200744254,193638274,185346978,185346979,175842807,165119154,153306797,153306796,165119153,175842804,185347014,263183505,166045372,154293692,154293691,166045370,176684697,186099733,194305735,193638297,193638259,185346964,185346965,185346968,175842768,175842769,185346972,193638267,186099720,186099721,194305728,193638277,185346981,175842777,165119138,165119137,175842774,185346977,193638272,185347006,175842797,165119148,165119147,175842795,185347003,193638300,262749342,175842787,185346993,185347015,264203827,193638290,193638291,263183502,193638284,193638283,193638282,193638308,193638309,200744266,200744256,193638301,185347004,175842797,165119148,165119147,175842795,185347003,193638300,262749342,175842787 Dl.O(d2) = 8040378,5130725,3118923,3118924,5130726,8040379,11988760,17075741,23341823,30765015,39366642,46648347,58021348,61515302,61515303,72318588,61515292,61515291,55351681,55351682,67691136,61515288,61515289,72318601,72318600,61515277,60695477,49294095,39366635,30765012,23341821,22365730,22365729,29721925,38288416,48197558,59584007,72318592,75986221,63003156,63003157,59819434,48433494,38525598,38525599,48433497,59819439,53027358,53027357,50036292,40016895,40016893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9611815, s2 = 11088838, dlinesl.size( ) = 2 s1 = 9611815, s2 = 11088838, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 9611815, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 4609024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4609024, s2 = 6742197, int(edited[s2]) = 0 s1 = 4609024, s2 = 6742197, d1 = 26, d2 = 33 Dl.O(d1) = 185357621 Dl.O(d2) = 257995223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4609024, s2 = 6742197, dlinesl.size( ) = 2 s1 = 4609024, s2 = 6742197, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4609024, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 7074881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14134826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14134826, s2 = 13164870, int(edited[s2]) = 0 s1 = 14134826, s2 = 13164870, d1 = 71, d2 = 93 Dl.O(d1) = 10689099,15459298,21459068,21528184,21528084,15517471,10732033,10732032,10731286,7090440,4464451,4464450,7090434,10031280,14578011,16548450,15522381,10735468,10734949,7092716,4465757,4465755,7092711,10734942,10031269,10031270,13509877,10734071,255041169,255411001,7093148,4466034,4466033,7093146,10735612,15515289,10730545,7089909,4464104,2681973,1553631,883354,498449,279545,154287,154291,279555,498474,883388,1553707,254503761,8652690,254881099 Dl.O(d2) = 1982683,1132475,635191,352495,352494,254136575,1132469,1982672,3369333,5475335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14134826, s2 = 13164870, dlinesl.size( ) = 30 s1 = 7093064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7093064, s2 = 13687535, int(edited[s2]) = 0 s1 = 7093064, s2 = 13687535, d1 = 7, d2 = 9 Dl.O(d1) = 262465868,185458164 Dl.O(d2) = 175982005,185458165,193728445,200820668,206806226,200820667,263341262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7093064, s2 = 13687535, dlinesl.size( ) = 2 s1 = 7093064, s2 = 13687535, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7093064, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 15636063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14694239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14694239, s2 = 11467694, int(edited[s2]) = 0 s1 = 14694239, s2 = 11467694, d1 = 106, d2 = 95 Dl.O(d1) = 48000616,258742935,99653870,261163043,153568079,165357222,176047294 Dl.O(d2) = 259265717,260486615,139061861,261618235,163639305,174475349,176249291,263867717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14694239, s2 = 11467694, dlinesl.size( ) = 16 s1 = 8824626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7076293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7076293, s2 = 7158724, int(edited[s2]) = 0 s1 = 7076293, s2 = 7158724, d1 = 55, d2 = 56 Dl.O(d1) = 262230951,176103018 Dl.O(d2) = 263367448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7076293, s2 = 7158724, dlinesl.size( ) = 2 s1 = 7076293, s2 = 7158724, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7076293, Dl.E( ) = 82, 2.88e-05 seconds used appending s1 = 4344920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4466263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16236931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16236931, s2 = 11039438, int(edited[s2]) = 0 s1 = 16236931, s2 = 11039438, d1 = 2, d2 = 3 Dl.O(d1) = 67687420 Dl.O(d2) = 85872713,72280656,59546200,48159197,255136566,29448979,22115348,21275144,21275143,17679484,12502806,8469409,5474520,3368771,3368768,5474510,8028218,8028223,8469377,5474500,5474499,8469371,11682303,12502958,8469545,8469546,12502967,17679688,24030267,31532406,31532375,24030239,17679659,254603774,8469393,8469391,12502771,17679429,18244538,24717635,21366807,21366808,17679633,17679174,17679175,15366078,10616924,7006280,7006281,10616930,15355877,12695592,12695593,17918740,15873575,11002379,10007559,10007558,14545105,20272439,27199129,255397430,30086972,22705079,16501156,11497623,11497622,16501154,19773714,19773716,268114674,268114672,34563432,26576604,19774214,14163792,14163790,16778191,19365190,16778273,11730994,11730993,16778266,23018720,30423841,26585213,19781124,14168682,14168681,19781122,26585211,23345081,17078606,11991538,11991539,255531847,30768197,254807780,17078349,17078348,14164769,11991901,8043805,5134127,5134128,8043866,11991996,17079381,14165136,9738414,9738415,14165140,19776320,255906422,17079802,23344593,23344594,19775408,19775409,26578151,30770793,34565993,26579500,26579501,26579899,19776915,14165589,14165590,255724339,19776564,19776563,26579483,19781305,14168819,14168820,268328971,14165269,9738498,9738497,14165105,17078012,11991206,11991207,17078014,23344296,268419486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16236931, s2 = 11039438, dlinesl.size( ) = 8 s1 = 14134896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16044375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16044375, s2 = 413049, int(edited[s2]) = 0 s1 = 16044375, s2 = 413049, d1 = 111, d2 = 1 Dl.O(d1) = 30089591,38666833,48582976,59974664,72711639,270855601,114299718,128182507,141539781,154202447,165961025,176606321,262719350,194238369,261726338,260601296 Dl.O(d2) = 10588651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16044375, s2 = 413049, dlinesl.size( ) = 2 s1 = 16044375, s2 = 413049, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16044375, Dl.E( ) = 112, 2.69e-05 seconds used appending s1 = 16286343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4619263, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13716889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4469604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14996576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4621422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4621422, s2 = 16286344, int(edited[s2]) = 0 s1 = 4621422, s2 = 16286344, d1 = 9, d2 = 37 Dl.O(d1) = 185818095 Dl.O(d2) = 53321992,42859473,41737189,32816339,32816338,41737185,52050466,52052863,42861421,33820371,33820370,41736553,256105355,18562718,18562719,25112378,255243663,8992253,5870889,3665785,3665789,5870893,8992261,13190813,18562617,25112421,32815650,41736379,52051028,63870214,72740596,60004524,60004523,72740594,257842334,89331283,89171720,75424140,62505123,62505124,62505127,257249250,41576598,51866820,63662369,76754880,75574596,62635016,53254519,268913818,33770138,42801873,53254515,51011364,40875690,32103448,24527508,24527510,27241375,268836909,32679843,256238163,20310677,27241373,20310674,14575821,10029772,6591623,6591624,10029775,14575827,20310685,27241390,35364681,44788909,257331549,52341855,64191922,63661382,51865753,51865752,55655398,55655399,64191888,52341804,42002852,33770000,25961043,25961042,33769993,33769997,42801679,53254314,65243949,78534410,92582226,78536391,65246252,259076861,68052077,55655368,44747339,35321442,27197874,20271394,20271395,27197876,35321447,44747346,55655381,68052097,81538954,260416261,272367954,121170036,106903326,106903327,121168299,121169240,121169238,134977909,134977053,123907325,271973671,119126583,109770074,260416265,109770064,109770065,123907330,261568037,148100788,262277000,160342423,148099241,134977116,121168380,106901509,106901508,106901553,92582415,258657488,42801911,33770168,33770167,257831071,78534609,92582379,106901495,92582405,78534627,65244185,65244184,78534621,85969293,99926887,113949942,121168957,121168402,121168404,113983632,99960885,86002201,86002200,99960883,113983628,122186557,136148126,141191692,260608468,270845060,85969308,99926908,101955533,258765240,61603340,50123476,40103302,31423591,31423590,40103300,50123469,61603336,74379905,87982472,85808549,72214497,59477081,59477082,72214502,85808555,259285112,62706186,51075848,51075849,62706187,75651386,78535378,65245076,53255491,42802762,42802763,271297446,92583084,106902179,121168963,133988189,120146852,105934807,91727343,91727342,92583055,78535357,78535359,92583059,99944318,107782399,258889388,65869831,258475253,72216117,59479080,258750095,99763754,101955485,87982436,74379879,74379878,87982433,85809985,72216180,59479116,59479117,72216184,85809987,76871771,63763041,63763044,71049011,84612992,98537389,101956024,87982985,74380436,74380438,87982991,87982952,74380375,74380376,87982954,101956001,87982982,74380427,61603854,50123974,50123975,61603856,64150074,52297691,41956686,41956687,52297694,61603746,50123872,50123871,61603740,74380279,61603703,61603704,74380282,61603777,61603779,74380352,87982943,87982892,87982891,87982885,74380291,61603715,50123855,40103657,257075267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4621422, s2 = 16286344, dlinesl.size( ) = 2 s1 = 4621422, s2 = 16286344, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4621422, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 9545681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11369534, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8737120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4761532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4761532, s2 = 11261159, int(edited[s2]) = 0 s1 = 4761532, s2 = 11261159, d1 = 31, d2 = 43 Dl.O(d1) = 194187715,185967503 Dl.O(d2) = 64145263,77294345,91214608,105436911,119675323,133550478,146809198,159184374,170525701,180659709,189559965,197250666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4761532, s2 = 11261159, dlinesl.size( ) = 2 s1 = 4761532, s2 = 11261159, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4761532, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 14670268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4475847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4475847, s2 = 11057522, int(edited[s2]) = 0 s1 = 4475847, s2 = 11057522, d1 = 7, d2 = 24 Dl.O(d1) = 176599717 Dl.O(d2) = 118301003,270995787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4475847, s2 = 11057522, dlinesl.size( ) = 42 s1 = 8355865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4626288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4476927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4476927, s2 = 6756010, int(edited[s2]) = 0 s1 = 4476927, s2 = 6756010, d1 = 12, d2 = 50 Dl.O(d1) = 176621783 Dl.O(d2) = 258119885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4476927, s2 = 6756010, dlinesl.size( ) = 48 s1 = 16175516, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4477352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4477735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4477735, s2 = 5278879, int(edited[s2]) = 0 s1 = 4477735, s2 = 5278879, d1 = 0, d2 = 4 Dl.O(d1) = 176647766,186064357 Dl.O(d2) = 219138983,215796707,211755461,263891230,193733838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4477735, s2 = 5278879, dlinesl.size( ) = 2 s1 = 4477735, s2 = 5278879, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4477735, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14681981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14681981, s2 = 11471116, int(edited[s2]) = 0 s1 = 14681981, s2 = 11471116, d1 = 39, d2 = 15 Dl.O(d1) = 86443929,100399964,114423678,100399945,86443916,259421437,100399942,114423675,128299620,262274235,128299624,141648934,154302426,261214711,114423671,114423669,260038273,100399935,100399952,86443921,86443922,100399953,100399955,86443924,72849214,72849216,86443926,100399960,100399963,100399964,114423678,100399945,86443916,259421437,100399942,114423675,128299620,262274235,128299624,141648934,154302426,261214711,114423671,114423669,260038273,100399935,100399952,86443921,72849213,60112772,258173903,72849219,86443930,100399938,114423670,114423665,114423666,100399957,100399943,86443915,72849208,72849207,86443914,260038279,114423680,262274233,176691194,186105593,194310802,201338036,207252110,207939122,202143264,195247765,187181232,187181230,195247762,202143260,207939117,212716242,216621638,219858703,219790191,216543634,216543629,216543630,219790189,222204359,224598370,274344914,207252112,263927263,194310803,264242113,212129376,216114383,265215863,265576809,226926963,224883656,222530267,219790193,219790192,222530264,265243336,219790188,264812326,212129375,207252111,265008109,264561452,212628331,216114381,212129374,207252111,207252110,207939122,202143264,195247765,187181232,187181230,195247762,202143260,263237200,274117796,224883653,264281964 Dl.O(d2) = 264812324,216543634,216543629,212628340,212628337,212716243,264561454,216543628,219790189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14678059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16178257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7084137, s2 = 11119696, int(edited[s2]) = 0 s1 = 7084137, s2 = 11119696, d1 = 6, d2 = 9 Dl.O(d1) = 262327974 Dl.O(d2) = 87706959,258243717,258813220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7084137, s2 = 11119696, dlinesl.size( ) = 2 s1 = 7084137, s2 = 11119696, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7084137, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 14176752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14176752, s2 = 13906120, int(edited[s2]) = 0 s1 = 14176752, s2 = 13906120, d1 = 0, d2 = 29 Dl.O(d1) = 60327651 Dl.O(d2) = 232802016,233943555,266438055,236794088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14176752, s2 = 13906120, dlinesl.size( ) = 2 s1 = 14176752, s2 = 13906120, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14176752, Dl.E( ) = 36, 1.38e-05 seconds used appending s1 = 15685103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11392342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7115319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7175505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7175505, s2 = 14211813, int(edited[s2]) = 0 s1 = 7175505, s2 = 14211813, d1 = 1, d2 = 4 Dl.O(d1) = 263590315 Dl.O(d2) = 254893405,18229109,24698778,32312422,41125646,51308648,62986987,75969535,75969536,89748495,101920935,87948514,74346253,258886523,74346250,61569332,50089287,50089288,61569334,61569335,50089289,40068030,31385469,268666080,17542256,12373206,12373208,17239828,19878682,19878681,26699385,34694020,43969270,54713080,66972287,80402745,94462544,108756067,114290323,100260118,86297375,72699620,72699619,59961642,48569304,38653444,268340970,22695870,22764323,22764326,22764339,22764338,30152129,38733923,48654800,60051128,72789749,79199535,93330586,100343158,107758271,107758270,100343156,100343157,114367947,128245593,141596848,141596845,128245590,128245591,141596846,154253488,166006590,176647906,176647904,176647903,263571285,201303448,264522327,216086719,219389227,222179646,224575660,222179648,265402641,226657078,228471094,228471093,230065031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7175505, s2 = 14211813, dlinesl.size( ) = 2 s1 = 7175505, s2 = 14211813, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7175505, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 16232859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16232859, s2 = 7113941, int(edited[s2]) = 0 s1 = 16232859, s2 = 7113941, d1 = 0, d2 = 47 Dl.O(d1) = 73237636,60490837,60490838,73237639,86850486,100831372 Dl.O(d2) = 216612030,212705961,207927719,202129906,202129905,202129908,195231615,187161348,262751480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16232859, s2 = 7113941, dlinesl.size( ) = 2 s1 = 16232859, s2 = 7113941, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16232859, Dl.E( ) = 60, 3.6e-05 seconds used appending s1 = 4638061, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13754003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13754003, s2 = 15889015, int(edited[s2]) = 0 s1 = 13754003, s2 = 15889015, d1 = 16, d2 = 7 Dl.O(d1) = 186708122,186708129,186708131,186708130,194821643,186708134,263603767,194821635,186708132,186708133,177392326 Dl.O(d2) = 36438712,27979634,20815728,20815729,27979635,30327564,22926533,19595789,19595788,14040933,14040934,11653216,11653217,14040604,9653951,254462223,2387100,1381917,786176,445437,250677,250678,445443,786184,1381934,2387134,3982985,6348064,3983097,3983096,3983087,2387184,2387185,3983090,6348234,9654103,8620982,5604921,5604922,6348221,9654273,14040953,14041010,14040960,9654279,9654280,14040750,14040579,14040580,255714345,26322084,26322083,26322488,25524753,18915473,18915472,25524752,26322534,255714379,9654285,9654286,255304239,26322366,26322367,26322816,19596368,19595920,19595921,26322252,34194864,34195450,26322796,19596345,19596344,26322565,19596185,14040991,14040992,19596191,26322578,34195204,43292926,53818180,53818189,257264269,43293157,48703628,48703629,53817925,43292661,43292662,53817928,65885874,61730748,61730749,270068903,43293142,43293141,257085155,40231793,50251844,61730739,74512685,88125081,101905501,101905491,87932061,74512720,61730784,50251891,50251888,50073828,50073827,61552390,74328999,81139812,268935962,79249541,93376703,258262910,80274133,66844120,66844119,80274130,93376633,93376632,107798571,122203668,108706994,101585613,94330751,258103570,79249539,79249538,93376698,93377028,79249877,65886249,65886250,59176258,47777540,37854329,29286135,21960403,21960404,29286136,34264758,26387473,19652992,17843353,17843354,24213657,21960397,15867584,10997792,7280251,4591394,4591395,7280253,10997800,14086794,19652941,23181660,16916682,11839172,7912189,7912190,11839173,16916687,23181669,29945715,22582795,22582794,29945711,38509384,31111495,30169538,22780694,17309395,12185665,12185585,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086780,7086784,10726118,15509294,18967154,18967153,14196085,14088130,14088129,19654712,21481543,15478254,15478253,21481539,26394682,28738908,23388080,23388079,24304121,24211414,24211415,30822338,267744862,16052051,16052050,17125238,23397283,17445660,12297471,12297470,11268317,7480189,7480190,11268320,16210147,17482893,12326794,12326795,14094935,14094934,19663545,15233764,14089950,11836998,7910909,5029142,3044518,3044521,5029149,4258787,4258788,6760900,6760901,4236903,2533189,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532745,1465729,1465730,2544156,4255734,3717062,2225785,2225786,3717065,5944296,4271350,4271349,4257092,2544985,1466212,1466210,2544974,4253914,2543072,1465147,829082,829081,1465144,2543068,254218273,827374,467043,467041,827367,1461692,2536602,4242536,4243280,2537050,1461928,827477,827476,1460293,2534074,3718645,3718643,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,6757963,5924943,3704858,3704859,3716694,4243110,3724921,2230233,2230232,3712655,3712656,5937571,6838740,6788182,4255622,2544097,2544099,2385086,2385085,1474778,1474781,2560825,4283238,6825473,4281952,2560105,1474533,1474535,2560315,1474521,1474523,2560322,4282379,6826112,10268036,9081042,5939185,5939186,9081048,12095336,8134315,5211611,5211612,5927736,3706502,2219796,1287816,1287814,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,835997,1478918,2568758,2679052,1551839,1551841,2679055,3916327,6256033,4459996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13754003, s2 = 15889015, dlinesl.size( ) = 2 s1 = 13754003, s2 = 15889015, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 13754003, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 7166269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7166269, s2 = 14205342, int(edited[s2]) = 0 s1 = 7166269, s2 = 14205342, d1 = 31, d2 = 67 Dl.O(d1) = 263482146 Dl.O(d2) = 260228860,76980228,63869246,63869245,76980226,90858472,105037172,260844395,133059636,261412685,261393692,105037170,105037167,119229559,133059631,261412687,158655648,158655643,146287241,133059630,119229558,260844393,261949499,146287267,146287268,158655643,146287241,133059630,119229558,119229559,133059631,133059646,146287254,146287255,133059643,119229566,105037171,105037172,260844395,146287253,158655659,170014219,180180846,170014228,170014227,170014236,158655668,158655667,170014223,170014224,158655660,158655659,158655647,158655646,170014218,170014230,158655655,146287250,146287249,158655653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7166269, s2 = 14205342, dlinesl.size( ) = 2 s1 = 7166269, s2 = 14205342, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7166269, Dl.E( ) = 68, 1.6e-05 seconds used appending s1 = 7201636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7201636, s2 = 8029172, int(edited[s2]) = 0 s1 = 7201636, s2 = 8029172, d1 = 47, d2 = 32 Dl.O(d1) = 263932724 Dl.O(d2) = 257617354,8304795,5358362,5358365,8304803,12296244,17058231,17442306,17442308,22605055,22605058,17058155,14564607,14564604,18391702,18391701,20296052,20296053,27224468,35347487,44772679,55681522,49949250,39932159,39932158,44455384,38268280,31255716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7201636, s2 = 8029172, dlinesl.size( ) = 52 s1 = 13771745, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13793873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15683229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14826870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14826870, s2 = 10187760, int(edited[s2]) = 0 s1 = 14826870, s2 = 10187760, d1 = 95, d2 = 93 Dl.O(d1) = 267440781,245382375,245525220,245382376,245382377,245525223,245659341,245659339,245525224,245382381,245230680,245068712,267389223,244896007,267407323,245068711,245068710,245068712,244896016,244712553,244516300,244306071,244080049,243837317,243575892,243294123,274936493,242669793,267131355,241949853,242323676,242669786,242669782,242669781,242323670,267055047,240637836,240637838,240638137,240130608,239583257,239583258,240130612,240637857,240637856,241108469,240638072,240130559,240130560,240638075,240637996,240637998,241108603,241545300,241949865,241545274,241108564,240637959,240130471,239583146,238991310,238347662,237641033,236863187,236007374,235066064,234031284,266399212,224845947,222487781,274328918,264276805,186946867,186946868,195032538 Dl.O(d2) = 74129309,61347046,49864451,39841307,31158645,23670542,17351691,12223475,8252747,8252746,12223472,17351690,23670539,31158642,39841301,48485120,48485121,49885118,61365922,59649421,48262416,38351462,29779088,29779087,38351461,42023625,38460313,29903443,29903442,36819077,28323710,21113974,15247501,10518768,6936880,6936882,10518774,15247512,21215686,28441215,36700394,46587143,48484998,48485001,46587103,36700361,28209368,21016308,21016305,28209359,33488074,27123773,20219792,14509344,14509343,20219790,27123776,35216590,35215744,35215745,38545922,29977058,22610297,16426032,11441370,11441372,16426034,22610303,20220197,14509593,14509594,20220202,17657415,12486503,8457363,5464694,3360404,3360407,5464702,8457379,12486539,17657494,24002183,31500376,40185480,50207719,42022431,42022430,52360699,42021883,42021884,36869171,31046032,23562375,17251664,12132189,12132188,17251661,23562369,18767300,18767301,25349100,33080068,255737000,33080072,33080069,35217834,35217833,35217835,44598632,50208070,44597618,35216773,27123903,20219874,14509396,9984022,6562132,4110986,2459028,1421497,808707,808708,1421502,2459049,4111037,267948537,268707052,35217840,44484747,35107724,35107723,31500797,24002485,24002484,31500795,29955455,29955456,33080267,40185675,40185677,40185977,33078123,33078124,42022064,49848475,49848476,61331795,52511493,42153577,42153578,48111316,59499425,72234879,85827279,99780572,113794559,127662586,141010581,153676193,165454792,176133964,185595906,193853532,186035377,176616995,165973201,154216194,141554907,128198578,114315858,114315857,100285590,86323513,72726028,59988658,48596704,38680417,30103230,30103231,22769850,22769849,24478417,24478416,20355453,14611451,14611450,20355454,27290047,255562468,48611324,38695685,30119077,30119076,30119138,38695752,34275217,26400245,19666253,19666252,26400239,34275210,37891908,29323978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14826870, s2 = 10187760, dlinesl.size( ) = 66 s1 = 15023833, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14950478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16216151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7185559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7185559, s2 = 4241324, int(edited[s2]) = 0 s1 = 7185559, s2 = 4241324, d1 = 167, d2 = 203 Dl.O(d1) = 263724960,187158220 Dl.O(d2) = 137407554,150446620,162574658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7185559, s2 = 4241324, dlinesl.size( ) = 110 s1 = 7708577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7086603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4657008, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4658930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10221746, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16226649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16226649, s2 = 9723730, int(edited[s2]) = 0 s1 = 16226649, s2 = 9723730, d1 = 132, d2 = 142 Dl.O(d1) = 25398057,33136052,42087813,42087814,42087815,52436448,258529411,55294436,44450048,256218835,26991047,256744237,29962572,255922243,16414979 Dl.O(d2) = 212864172,216751565,216751568,264886006,208110253,208110254,212864174,216751567,216751566,219973232,222691938,225026526,265764749,225535983,223289610,220690950,274147480,209515314,204079929,197565255,189914213,262943832,159600831,147245032,147245033 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 4660607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14969124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7087969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7087969, s2 = 4002477, int(edited[s2]) = 0 s1 = 7087969, s2 = 4002477, d1 = 97, d2 = 114 Dl.O(d1) = 262377459 Dl.O(d2) = 261954209,146705368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7087969, s2 = 4002477, dlinesl.size( ) = 72 s1 = 9602776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4516528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14987179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4519468, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16135537, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15664014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8677404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8677404, s2 = 7268078, int(edited[s2]) = 0 s1 = 8677404, s2 = 7268078, d1 = 5, d2 = 7 Dl.O(d1) = 263170878,188146832,179082388,179082390,188146836,196046081,202806692,208484082,208484083,213163077,208484088,202806691,263915732,208484077,273724388,202806679,196046071,188146829,179082385,168803663,168803664,179082386,188146830 Dl.O(d2) = 202806681,208484076,213163070,216988877,216988876,273996022,216988877,264770536,225157965,227166509,228920305,230466894,231841800,233078660,234196971,235213583,236139232,236982551,236329574,235423241,266388032,266388034,235577481,266067744,265805666,274502719,223877548,264654084,210894679,205783245,199601672,192297460,183819511,174150157,163300460,151422172,138726866,125403276,111604591,257838462,70303787,57613265,57613266,70303790,76915468,63808445,51993103,41900578,41900577,50341766,255963466,50187515,40163312,31478718,23981895,17635223,17635224,21041065,20073492,20073491,26957328,35037309,44411864,55259448,59182370,47782989,37859021,37859020,38374808,29803090,22437194,16269992,16269991,22437188,28239766,21041056,15113376,10424642,10424641,15113373,21041050,23165806,23165805,267981970,46906855,37029606,28531456,28531455,37029603,46906852,58272006,61270521,70736638,58022067,58022066,70736635,58272009,48358763,38457177,29900537,29900536,268948605,72477346,86075480,100038670,265396029,221986853,265560681,228340583,265994153,266242087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8677404, s2 = 7268078, dlinesl.size( ) = 2 s1 = 8677404, s2 = 7268078, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8677404, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4522557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4522557, s2 = 16196876, int(edited[s2]) = 0 s1 = 4522557, s2 = 16196876, d1 = 25, d2 = 43 Dl.O(d1) = 179082412 Dl.O(d2) = 1714754,974302,974303,1714758,2957236,4903337,4903338,4906398,4868093,2933474,1701349,1701348,2933470,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,3192042,5230535,7683287,7683285,8159775,11434650,16418673,19610303,19610302,18731123,13334413,9110855,5961297,3727896,3727898,5961301,9110863,13334424,9790257,9790258,14241800,14241879,9790312,9790311,6436334,6436335,9790323,9787930,9787929,14238458,19873081,26692912,34687351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4522557, s2 = 16196876, dlinesl.size( ) = 2 s1 = 4522557, s2 = 16196876, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4522557, Dl.E( ) = 50, 3.91e-05 seconds used appending s1 = 7089791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7089791, s2 = 8797917, int(edited[s2]) = 0 s1 = 7089791, s2 = 8797917, d1 = 12, d2 = 23 Dl.O(d1) = 262414923 Dl.O(d2) = 264051337,209325536,213815497,274143175,220571903,223185094,265472556,274376320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7089791, s2 = 8797917, dlinesl.size( ) = 2 s1 = 7089791, s2 = 8797917, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7089791, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 14996877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14996877, s2 = 5227247, int(edited[s2]) = 0 s1 = 14996877, s2 = 5227247, d1 = 85, d2 = 77 Dl.O(d1) = 143013114,262803509,262416239,179272995 Dl.O(d2) = 217052181,265069911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14996877, s2 = 5227247, dlinesl.size( ) = 22 s1 = 4135951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4670786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11366086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4672102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4672102, s2 = 8770945, int(edited[s2]) = 0 s1 = 4672102, s2 = 8770945, d1 = 52, d2 = 128 Dl.O(d1) = 188538963 Dl.O(d2) = 211820001,211820000,274192876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4672102, s2 = 8770945, dlinesl.size( ) = 20 s1 = 4672629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4672629, s2 = 16273358, int(edited[s2]) = 0 s1 = 4672629, s2 = 16273358, d1 = 35, d2 = 8 Dl.O(d1) = 188680631 Dl.O(d2) = 92419972,106725660,120977966,134774430,147893029,160142408,171362791,171845769,160659223,148398446,135232757,259651398,92744680,78681252,65376412,53372341,42906329,33861053,26039473,254918928,9500226,6231233,3901266,2336506,2336505,3901265,6230265,6351665,3985300,2388563,2388560,3985289,6213379,255290723,256186344,9421881,254935782,19225975,25885792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4672629, s2 = 16273358, dlinesl.size( ) = 2 s1 = 4672629, s2 = 16273358, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4672629, Dl.E( ) = 46, 1.29e-05 seconds used appending s1 = 8592835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13682181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14816693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14816693, s2 = 15323233, int(edited[s2]) = 0 s1 = 14816693, s2 = 15323233, d1 = 53, d2 = 40 Dl.O(d1) = 246774347,267545086,275036806,246408026,246321990,246230666,246133353,246031526,245922893,245807378,267414702,245553299,245412993,245264397,245105927,244936467,244936466,245105926,245264393,245264394,245105929,244936468,244936469,244936467,244756177,244563404,244355802,244131725,243890675,243631807,243353589,243056408,242739858,242399534,242032969,266832246,240740368,240239036,239697627,266562282,238474533,266291888 Dl.O(d2) = 169595905,158217326,145846073,132625729,118806610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14816693, s2 = 15323233, dlinesl.size( ) = 2 s1 = 14816693, s2 = 15323233, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14816693, Dl.E( ) = 54, 1.62e-05 seconds used appending s1 = 7183264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4532562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6721892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4679177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14749115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4535706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14533982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14702827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14702827, s2 = 14173349, int(edited[s2]) = 0 s1 = 14702827, s2 = 14173349, d1 = 20, d2 = 36 Dl.O(d1) = 262477583,180959741,189610514 Dl.O(d2) = 132383844,145632174,260624524,158035213,169448968,158035242,158035243,272223180,260624528,132383847,118541326,104354685,90199423,76369780,76369779,90199421,104354681,118541320,132383837,145632176,158035228,145632194,132383851,132383853,145632165,132383830,118541317,118541316,260023918,145632157,145632158,145632170,145632169,158035225,261201578,259406458,104354684,104354683,118541324,132383843,145632160,132383827,118541315,104354676,104354675,90199419,256967498,51613123,41387045,32536526,32536525,28377301,21159982,15203840,10486853,10486852,15203838,15203998,10486938,8085924,8085923,12027353,12026884,8085648,8085650,8528219,8528218,12574258,8666256,8666257,8666293,5638221,3504252,2082994,1197551,674279,674278,1197548,2082989,3504240,5638195,8666228,5638187,3504237,254424975,8666232,12751040,17990145,24390009,256056761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14702827, s2 = 14173349, dlinesl.size( ) = 2 s1 = 14702827, s2 = 14173349, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 14702827, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 4537567, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7725277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7725277, s2 = 11637494, int(edited[s2]) = 0 s1 = 7725277, s2 = 11637494, d1 = 158, d2 = 155 Dl.O(d1) = 273789777,189806182 Dl.O(d2) = 267444099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7725277, s2 = 11637494, dlinesl.size( ) = 102 s1 = 6941446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6941446, s2 = 10396841, int(edited[s2]) = 0 s1 = 6941446, s2 = 10396841, d1 = 32, d2 = 37 Dl.O(d1) = 260398778 Dl.O(d2) = 266204849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6941446, s2 = 10396841, dlinesl.size( ) = 2 s1 = 6941446, s2 = 10396841, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6941446, Dl.E( ) = 52, 2.31e-05 seconds used appending s1 = 12059018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11435256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11435256, s2 = 11291428, int(edited[s2]) = 0 s1 = 11435256, s2 = 11291428, d1 = 2, d2 = 57 Dl.O(d1) = 180984205 Dl.O(d2) = 261430358,192062461,183517684,173746909,162745360,162745361,173746910,183517686,260549056,193217427,260549054,260549056,184875880,184875881,193217428,199415123,192062463,183517683,173746909,172638127,161461745,161461744,260266380,161459629,259329670,162745356,162745357,150649664,137652328,137652329,258079858,173746913,175323607,182564846,172638128,161461745,161461744,260266380,260266378,261430358,184875878,175323599,261430328,140027132,259650014,258395710,109834414,109831569,109831568,123971031,112213755,112213753,126070097,139441710,261430302,174862636,174862640,164044698,152166494,139441712,260862180,109831560,95627684,81594352,259182297,109831557,260266376,150649712,162745399,173746944,164044539,164044540,172636293,175323609,175323608,172638128,259948616,191245750,261676660,260549052,183517681,173746908,173746907,258703710,150649663,256889024,255854464,95627639,109831497,123970958,257469266,123971017,137652396,137655318,259649972,115804119,115804118,129703379,135951525,149175483,161461743,161461747,149175487,135951527,259649982,161461744,260266380,149172999,149172998,150649712,162745399,173746944,164044539,152166350,139441561,126069921,112213555,112213557,126069925,139441565,152166355,164044544,262923650,133749869,119879598,105641042,91415233,77484619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11435256, s2 = 11291428, dlinesl.size( ) = 20 s1 = 7094374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4543676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4543676, s2 = 9051685, int(edited[s2]) = 0 s1 = 4543676, s2 = 9051685, d1 = 23, d2 = 20 Dl.O(d1) = 181014837,189891633,197545616 Dl.O(d2) = 274784963,266702260,266555608,236267271,237098813,266570289,235544344,235544345,274742497,266645323,235544350,234560825,266399177,235544348,266196522,274501260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4543676, s2 = 9051685, dlinesl.size( ) = 8 s1 = 4688615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8555376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8555376, s2 = 13532713, int(edited[s2]) = 0 s1 = 8555376, s2 = 13532713, d1 = 36, d2 = 3 Dl.O(d1) = 258355824,259609920,147327120,159675118,170990133,181095317 Dl.O(d2) = 63971796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8555376, s2 = 13532713, dlinesl.size( ) = 14 s1 = 7095013, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15712133, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4023929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4023929, s2 = 8897923, int(edited[s2]) = 0 s1 = 4023929, s2 = 8897923, d1 = 115, d2 = 313 Dl.O(d1) = 147914285,262501205 Dl.O(d2) = 234465236,233378374,232180505,230854352,230854353,232180496,232180501,230854351,229372908,227704918,225803057,223621996,223621995,225803056,265550300 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10336354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16024189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16024189, s2 = 11429561, int(edited[s2]) = 0 s1 = 16024189, s2 = 11429561, d1 = 41, d2 = 46 Dl.O(d1) = 127807745,113928525,99906228,99906229,104056754,99906227,85948900,85948899,99906226,89153743,75406728,75406729,86487493,75406665,62488466,50889204,50889202,62488460,62488741,62488742,75406907 Dl.O(d2) = 184726493,184726494,175159945,261648828,139785578,126411590,112541819,98547610,98547611,112541818,112523462,98528934,84604416,258671074,71060116,256857796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16024189, s2 = 11429561, dlinesl.size( ) = 2 s1 = 16024189, s2 = 11429561, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 16024189, Dl.E( ) = 64, 2.6e-05 seconds used appending s1 = 14137509, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14994191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13712317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9552225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4697960, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9125305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15737327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4408785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16167881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16167881, s2 = 6897166, int(edited[s2]) = 0 s1 = 16167881, s2 = 6897166, d1 = 44, d2 = 42 Dl.O(d1) = 261662346 Dl.O(d2) = 259860169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16167881, s2 = 6897166, dlinesl.size( ) = 68 s1 = 4701443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4701443, s2 = 108659, int(edited[s2]) = 0 s1 = 4701443, s2 = 108659, d1 = 0, d2 = 3 Dl.O(d1) = 191411818 Dl.O(d2) = 489401,867600,1529570,2386830,3982540,6347397,9653114,14039366,19594067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4701443, s2 = 108659, dlinesl.size( ) = 2 s1 = 4701443, s2 = 108659, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4701443, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7171352, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7214598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4706629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4706629, s2 = 13874651, int(edited[s2]) = 0 s1 = 4706629, s2 = 13874651, d1 = 0, d2 = 13 Dl.O(d1) = 191731798 Dl.O(d2) = 266075997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4706629, s2 = 13874651, dlinesl.size( ) = 22 s1 = 8482354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8386143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15005233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7093866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16386253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8603210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8603210, s2 = 5658496, int(edited[s2]) = 0 s1 = 8603210, s2 = 5658496, d1 = 20, d2 = 19 Dl.O(d1) = 260406991,137432921,262090981,173623094,183415116 Dl.O(d2) = 230965610,232284025,266574540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8603210, s2 = 5658496, dlinesl.size( ) = 24 s1 = 11416824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4573503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4573503, s2 = 274784, int(edited[s2]) = 0 s1 = 4573503, s2 = 274784, d1 = 51, d2 = 6 Dl.O(d1) = 183505166 Dl.O(d2) = 6874897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4573503, s2 = 274784, dlinesl.size( ) = 2 s1 = 4573503, s2 = 274784, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4573503, Dl.E( ) = 122, 4.82e-05 seconds used appending s1 = 4845140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15703363, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8718594, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8696071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7101985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7101985, s2 = 5607295, int(edited[s2]) = 0 s1 = 7101985, s2 = 5607295, d1 = 19, d2 = 35 Dl.O(d1) = 262610127 Dl.O(d2) = 229580854,231039275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7101985, s2 = 5607295, dlinesl.size( ) = 26 s1 = 7200545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15918771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15918771, s2 = 6678038, int(edited[s2]) = 0 s1 = 15918771, s2 = 6678038, d1 = 70, d2 = 81 Dl.O(d1) = 264876690 Dl.O(d2) = 76816775,87584300,73983746,61204343,257232202,23548832,17240983,12124061,8155677,5226040,5226039,8155674,255544177,27048804,27048803,256180786,41939462,52278777,58636985,58636984,71373907,84950075,98876061,112863448,126714846,140061934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15918771, s2 = 6678038, dlinesl.size( ) = 14 s1 = 8722438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8722438, s2 = 156776, int(edited[s2]) = 0 s1 = 8722438, s2 = 156776, d1 = 41, d2 = 0 Dl.O(d1) = 211059647,211059645,273692164,192553514 Dl.O(d2) = 3669678,3669676,5877025,3669409,3669412,5877043,9002318,13206031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8722438, s2 = 156776, dlinesl.size( ) = 18 s1 = 6620949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6620949, s2 = 9281214, int(edited[s2]) = 0 s1 = 6620949, s2 = 9281214, d1 = 73, d2 = 95 Dl.O(d1) = 256626206,262623391 Dl.O(d2) = 204255778,209661090,214095825,217736879,220775558,223362823,223362822,220775556,217736881,214095827,214095826,214095825,217736879,220775558,223362824,223362821,220775556,217736881,217736880,220775559,223362826,225599675,227545254,229247014,230751235,231872267,266025328,228961495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6620949, s2 = 9281214, dlinesl.size( ) = 2 s1 = 6620949, s2 = 9281214, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6620949, Dl.E( ) = 96, 4.6e-05 seconds used appending s1 = 6922135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6922135, s2 = 13311175, int(edited[s2]) = 0 s1 = 6922135, s2 = 13311175, d1 = 120, d2 = 23 Dl.O(d1) = 260121666,174452847,184103696,263241092 Dl.O(d2) = 47350673,47350674,256947732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6922135, s2 = 13311175, dlinesl.size( ) = 20 s1 = 15686393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14121948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14121948, s2 = 13720981, int(edited[s2]) = 0 s1 = 14121948, s2 = 13720981, d1 = 33, d2 = 0 Dl.O(d1) = 255556655,12277141,17418876,22860551,22860550,30255789,31279567,39954258,262808479,184116959,264158835,211070082,265834443 Dl.O(d2) = 109860039,270676987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14121948, s2 = 13720981, dlinesl.size( ) = 8 s1 = 15669943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15669943, s2 = 14994840, int(edited[s2]) = 0 s1 = 15669943, s2 = 14994840, d1 = 23, d2 = 24 Dl.O(d1) = 59063473,64092901,52245600,41908623,41908622,46630388,257079442,70721025 Dl.O(d2) = 263265294,72588791,59851009,48460332,256046170,22612367,23166557,30584521,39182230,34230127,34230126,33806027,33806028,35346425,35346424,29187145,23472062,23472063,21465495,21465497,18711954,18711955,22724099,16518911,14596480,13307779,13307776,16024587,14564161,10021776,10021777,14564167,254707558,13814706,19319706,25990584,28902615,21897689,20957667,15048725,10375538,6836770,4289771,2564787,2564785,4289781,3308113,1946151,1946149,3308100,4134647,2473348,2473347,4134641,4699109,7436640,4699295,4699294,7436937,11208245,14941407,10276318,10246056,10246054,254323358,20893866,254218844,254483520,268372184,28062896,36528981,36528979,36528980,46389081,57739158,70433548,83959874,83959871,83959872,259872493,125547070,138879841,151582421,261785704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15669943, s2 = 14994840, dlinesl.size( ) = 2 s1 = 15669943, s2 = 14994840, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 15669943, Dl.E( ) = 26, 7.87e-06 seconds used appending s1 = 7103955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7103964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6983196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6983196, s2 = 12256402, int(edited[s2]) = 0 s1 = 6983196, s2 = 12256402, d1 = 63, d2 = 77 Dl.O(d1) = 260950274 Dl.O(d2) = 255808535,21107197,28317557,36813824,41921214,52259490,64108285,77254899,91173175,105394860,119630984,119630985,119630983,105394852,105394851,119630982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6983196, s2 = 12256402, dlinesl.size( ) = 54 s1 = 9539061, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11459636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7009348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7137068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7137068, s2 = 4730089, int(edited[s2]) = 0 s1 = 7137068, s2 = 4730089, d1 = 9, d2 = 6 Dl.O(d1) = 263087515 Dl.O(d2) = 193017309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7137068, s2 = 4730089, dlinesl.size( ) = 12 s1 = 4730090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4730090, s2 = 7137067, int(edited[s2]) = 0 s1 = 4730090, s2 = 7137067, d1 = 7, d2 = 8 Dl.O(d1) = 193017310 Dl.O(d2) = 263087514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4730090, s2 = 7137067, dlinesl.size( ) = 12 s1 = 7194116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7194116, s2 = 8640501, int(edited[s2]) = 0 s1 = 7194116, s2 = 8640501, d1 = 22, d2 = 35 Dl.O(d1) = 263848801 Dl.O(d2) = 193022083,184643724,263848797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4862195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4862195, s2 = 11054634, int(edited[s2]) = 0 s1 = 4862195, s2 = 11054634, d1 = 36, d2 = 37 Dl.O(d1) = 200322198,193153138 Dl.O(d2) = 257432204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4862195, s2 = 11054634, dlinesl.size( ) = 38 s1 = 13495421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6996426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4597212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15672745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7195426, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4599622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4599622, s2 = 8772844, int(edited[s2]) = 0 s1 = 4599622, s2 = 8772844, d1 = 84, d2 = 42 Dl.O(d1) = 184946173,272854944,200440173,262704364,211480443,215563538,218937907,221785500,224227482,221785505,264497020,226344385,228188611,228188595,226344370,264985658,228332636,226500317,226500315,265386166,228188592,226344369,226344368,265195654,231246732,229808340,228188589,228188590,229808341,265195662,265195664,228188604,226344377,224227485,224227476,221785496,218937905,215563537,215563538,218937906,221785498,224227478,226344368,265195654,231246732,229808340,228188589,228188590,229808341,265195662,265195664,228188604,226344377 Dl.O(d2) = 215885246,211855749,274099529,206922990,200951706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4599622, s2 = 8772844, dlinesl.size( ) = 24 s1 = 7829653, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14510689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14510689, s2 = 14324873, int(edited[s2]) = 0 s1 = 14510689, s2 = 14324873, d1 = 31, d2 = 42 Dl.O(d1) = 258289725,61927497,71497538,58768037,258075992,47380812,258075995,258212433,73419748,60672699,268925926,39345827,257604781,258212447,259459601,88349201,85069684,71497469,71497468,71497470,58768031,58768032,60672700,49272080,39345829,30746276,23325001,255977963,39345831,39346091,39346090,47380745,58767965,60672704,61927498,71497535,58768034,47380810,37473520,28932082,28932083,37473522,47380814,58767962,257024284,47380750,37473455,37473454,47380749,39346084,30746495,30746279,23325003,23325002,268662299,49272085,268972950,37473449,37473450,37473445,28931994,28931995,30746222,255530660,11967621,11967622,255977943,23324844,17059282,17059284,255850963,15619843,10807295,10807296,255144263,254821353,17059230,23324945,23324953,17059353,11967694,8011459,8011456,254742379,254742377,273106187 Dl.O(d2) = 235743947,266322753,232555468,231266113,229828781,265705887,224252303,221811990,221811989,265548013,274510759,266219263,226368160,224252302,274405117,221811993,265548015,266211986,221664587,264723454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14510689, s2 = 14324873, dlinesl.size( ) = 28 s1 = 14983628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4742220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4742220, s2 = 14144137, int(edited[s2]) = 0 s1 = 4742220, s2 = 14144137, d1 = 22, d2 = 49 Dl.O(d1) = 193376868 Dl.O(d2) = 264623565,265636643,229115312,265748116,233203411,234305737,235308956,236223650,237057847,236327533,235421016,234428017,233337026,232132890,230796495,229298316,227604723,225669178,225669179,225669180,223446023,265298050,214257209,209865211,204507483,198081719,190540118,181803768,171838010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4742220, s2 = 14144137, dlinesl.size( ) = 18 s1 = 6661606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6661606, s2 = 7048801, int(edited[s2]) = 0 s1 = 6661606, s2 = 7048801, d1 = 43, d2 = 58 Dl.O(d1) = 257061378 Dl.O(d2) = 261827562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6661606, s2 = 7048801, dlinesl.size( ) = 26 s1 = 11460188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6906420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9738667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16365989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15905175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4988751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15136795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7109333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7109333, s2 = 10985116, int(edited[s2]) = 0 s1 = 7109333, s2 = 10985116, d1 = 27, d2 = 38 Dl.O(d1) = 262695873 Dl.O(d2) = 9991051,14520039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7109333, s2 = 10985116, dlinesl.size( ) = 26 s1 = 7109448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7109448, s2 = 6003200, int(edited[s2]) = 0 s1 = 7109448, s2 = 6003200, d1 = 41, d2 = 5 Dl.O(d1) = 262697481 Dl.O(d2) = 239474467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7109448, s2 = 6003200, dlinesl.size( ) = 40 s1 = 11752010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11752010, s2 = 14296739, int(edited[s2]) = 0 s1 = 11752010, s2 = 14296739, d1 = 24, d2 = 22 Dl.O(d1) = 53511423,257798633,52677814,61468773,49991325,49991329,61468776,52677842,52677843,64089809,52677823,52677824,46987619,37103164,268917719,58357323,60165513,52677819,42291408,33311332,25549767,25549766,33311328,32248017,256585257,51196625,255632874,41040641,41040604,41040605,48356057,52242211,41904949,32965675,32965674,41040620,32248003,32248001,41040624,49991029,51668048,59739630,72474796,86072929,86072930,72474799,72474798,65106601,53120057,256541692,61468440,49991050,47878053,37960137,29395668,29395667,37960135,257501815,72009275,85596278,258272258,74246288,257080194,41904921,32965659,25243849,18673859,18673860,22065189,29395545,37960004,38995513,30406242,23001121,16761231,16761232,23001127,30406252,38995525,31599851,31599850,31601062,31601061,40286121,49990974,39974947,31300394,23814159,23814160,17480396,17480395,23814929,31301421,26193141,19484032,13943244,9570295,9570293,13943239,255237456,11077242,15960540,22065232,15960548,15960547,22065237,29395613,37960067,37960184,37960185,47878090,47877874,43256652,34166325,33116637,33116638,29395351,29395354,33199631,42159491,47877992,47877991,59273263,47877821,37959906,37959904,47710408,43122967,34047406,26193117,19484018,19484019,26193123,29395365,29395364,29395802,29395800,22065359,22065358,29395797,37960121,29395654,22065269,15960573,11077262,7345168,4639289,2794355,1620823,1620824,2794362,4639302,7345189,11077299,15960636,17138450,22065211,22065150,15960482,11077216,11077218,15960488,17138439,12044502,12044500,17138427,22065066,29395381,256035354,59273122,257672266,99543140,113554877,127425743,140781805,153461999,165261252,175962903,165261251,165261252,175962904,185445126,262829836,261853372,153461997,140781804,140781803,153461994,261853370,175962896,261311230,261311228,140781807,140781808,153462004,140781810,260142506,127425743,140781806,153462001,165261254 Dl.O(d2) = 47020636,47020637,256559975,24330650,20805255,14910645,255356867,27968113,36426975,44638853,35254328,35254329,44345711,44345713,47245534,58539951,52925965,42515412,33515432,25735961,19103115,13639144,254405058,6117651,9339765,255683613,33515439,257813901,269028036,90978618,255611822,52146772,52146771,63970970,256577214,119372364,133211525,258950336,157021238,273195129,157021240,144624684,144624685,157021243,168468304,178775094,187878488,263666233,195815968,187878482,187878483,193336928,185005399,175464498,164710025,152877991,261215096,112983803,259421848,86448850,100405201,112983804,259945138,258699810,47378183,37471118,37471117,37471153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11752010, s2 = 14296739, dlinesl.size( ) = 8 s1 = 4612473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4613259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4613259, s2 = 4273375, int(edited[s2]) = 0 s1 = 4613259, s2 = 4273375, d1 = 1, d2 = 53 Dl.O(d1) = 185493513 Dl.O(d2) = 164489127,175265539,184828315,192571536,184120513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4613259, s2 = 4273375, dlinesl.size( ) = 14 s1 = 14131695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4753732, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4466292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4755337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4618963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4618963, s2 = 7304739, int(edited[s2]) = 0 s1 = 4618963, s2 = 7304739, d1 = 0, d2 = 34 Dl.O(d1) = 185710104 Dl.O(d2) = 265202757,224465537,274360474,226445152,224338356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4618963, s2 = 7304739, dlinesl.size( ) = 38 s1 = 15221231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224473, s2 = 10256040, int(edited[s2]) = 0 s1 = 7224473, s2 = 10256040, d1 = 9, d2 = 14 Dl.O(d1) = 264228829 Dl.O(d2) = 264228832,194092593,264228827,264767907,264767909,219301108,265396439,274278029,273994848,201140357,263558816,262731312,165782690,176437884,185868270,185868271,194092566,201140319,264512809,211979994,264512814,201140315,194092564,185868269,185868268,194092559,201140309,264512807,201140330,194092572,273357510,176437874,185868275,194092571,201140329,207078931,264767911,211979977,207078932,201140322,201140323,207078934,264767913,207078979,201140360,194092594,185868292,185868291,194092597,264512813,201140341,194092582,194092583,201140342,207078956,211979987,215984645,215984639,211979970,207078925,201140312,194092562,185868267,185868266,194092559,201140308,264512805,211979991,207078961,201140344,201140342,207078956,211979987,215984645,215984639,211979970,207078925,201140312,194092562,185868267,176437866,272866544,141344699,127981535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224473, s2 = 10256040, dlinesl.size( ) = 2 s1 = 7224473, s2 = 10256040, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7224473, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14999699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8850820, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7225118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7225118, s2 = 4475691, int(edited[s2]) = 0 s1 = 7225118, s2 = 4475691, d1 = 13, d2 = 0 Dl.O(d1) = 264236209,194230192 Dl.O(d2) = 176595649,165949106,154189511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7225118, s2 = 4475691, dlinesl.size( ) = 14 s1 = 8653212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8653212, s2 = 6055303, int(edited[s2]) = 0 s1 = 8653212, s2 = 6055303, d1 = 28, d2 = 71 Dl.O(d1) = 258869984,165995430,176637293,186054310,194263169,201294556,207212577,212093258,216080493,219383450,219383449,222174458,222174457,224570914,222174447,219383475,216080451,216080452,219383477 Dl.O(d2) = 240639864,266865146,242404564,266444222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8653212, s2 = 6055303, dlinesl.size( ) = 46 s1 = 6908754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4769669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4769669, s2 = 7889029, int(edited[s2]) = 0 s1 = 4769669, s2 = 7889029, d1 = 49, d2 = 99 Dl.O(d1) = 194423438,194423425,194423426,194423459,186238715,176850231,176850232,186238716 Dl.O(d2) = 24280552,17900025,256048096,3473801,5597282,8611868,5597284,5597283,8611870,12679956,10589559,6985572,6985575,5597175,5597176,4389415,4389414,6985514,10589503,10579823,6979215,6979216,4385015,2629905,2629906,4389455,6985564,10581093,15319630,10589532,6985538,4389428,2629885,2629886,4389429,6985540,10589535,254877219,8611711,12679798,13202108,12679740,12679741,255595181,24280421,17899888,12679806,10588404,10588403,12679763,8611682,5597144,3473702,2060632,2060633,3473704,5597147,254877213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4769669, s2 = 7889029, dlinesl.size( ) = 58 s1 = 7202538, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4638891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4638891, s2 = 11672014, int(edited[s2]) = 0 s1 = 4638891, s2 = 11672014, d1 = 17, d2 = 26 Dl.O(d1) = 186505783 Dl.O(d2) = 3795668,3795667,6066536,9262395,13532354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4638891, s2 = 11672014, dlinesl.size( ) = 28 s1 = 4774998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8811018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8732401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7733965, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7250393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7250393, s2 = 13088591, int(edited[s2]) = 0 s1 = 7250393, s2 = 13088591, d1 = 86, d2 = 92 Dl.O(d1) = 264552008 Dl.O(d2) = 266480545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7250393, s2 = 13088591, dlinesl.size( ) = 32 s1 = 4152241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4646453, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7204602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7204602, s2 = 14120191, int(edited[s2]) = 0 s1 = 7204602, s2 = 14120191, d1 = 3, d2 = 5 Dl.O(d1) = 263967383 Dl.O(d2) = 155563513,262803657,186967624,191861812,263429332,177689346,167193486,155563504,143015405,143015406,129686996,129686986,261280819,155563499,150305572,137264706,137264705,150305569,162441431,262803652,150305561,137264701,137264700,150305557,273055395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7204602, s2 = 14120191, dlinesl.size( ) = 2 s1 = 7204602, s2 = 14120191, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7204602, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 4784191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7229121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8682623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8682623, s2 = 9721135, int(edited[s2]) = 0 s1 = 8682623, s2 = 9721135, d1 = 6, d2 = 11 Dl.O(d1) = 195125947,187048615,177774835,177774836,177774829,177774830,187048604,187048613 Dl.O(d2) = 2837028,3394163,3394162,5498072,3387825,3387824,5498061,8496696,12534891,16887738,11816613,11816614,9655713,6349171,6349169,9655706,268039257,3983650,3983651,6349135,9655669,12577905,17773141,24134943,255752308,41123133,32310181,24696953,18227636,18227635,22080682,26995193,24696936,18227618,12928739,8795169,5728964,3567030,3567031,5728968,8795175,12928733,18227608,24696924,255752286,51305725,62983908,75966655,89746105,103850383,117995799,131823709,260999628,168981221,179268029,188319528,196202929,202947749,208600960,213247291,217049715,220208626,222883746,225187469,227189281,228937156,230479501,229796948,228174428,226326067,224203472,221755770,218903233,264801808,211435946,206434233,200386451,193227051,184885896,175334075,164571369,261807026,140045952,126698595,259472488,84930892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8682623, s2 = 9721135, dlinesl.size( ) = 2 s1 = 8682623, s2 = 9721135, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8682623, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 4785829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7178823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7178823, s2 = 14659055, int(edited[s2]) = 0 s1 = 7178823, s2 = 14659055, d1 = 22, d2 = 29 Dl.O(d1) = 263629568 Dl.O(d2) = 143204736,143204735,270904758,269400402,31624765,24119369,24119368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7178823, s2 = 14659055, dlinesl.size( ) = 22 s1 = 7627971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7627971, s2 = 9025927, int(edited[s2]) = 0 s1 = 7627971, s2 = 9025927, d1 = 34, d2 = 43 Dl.O(d1) = 269940853,262817783,155770551,143219140 Dl.O(d2) = 115992635,101948888,101948887,115992632,262346423,155770543,143219135,129889834,115992636,101948888,87976863,258266609,257074907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7627971, s2 = 9025927, dlinesl.size( ) = 18 s1 = 7205547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6859164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6859164, s2 = 7646269, int(edited[s2]) = 0 s1 = 6859164, s2 = 7646269, d1 = 141, d2 = 100 Dl.O(d1) = 259350764,130039084,262824125,273580395,263526461,264459687,200188012,273976355,215382483,218772298,264954586,203359875,203359874,208929879,208929886,203359879,273326774,262904305,188949522,263085654,169804955 Dl.O(d2) = 113434772,270832123,47769741,47769740,53506222,43026527,43026526,47769735,59168354,71906398,78868055,258667630,121775528,113727859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6859164, s2 = 7646269, dlinesl.size( ) = 2 s1 = 6859164, s2 = 7646269, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 6859164, Dl.E( ) = 144, 5.6e-05 seconds used appending s1 = 8710501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15001484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15001484, s2 = 9286217, int(edited[s2]) = 0 s1 = 15001484, s2 = 9286217, d1 = 39, d2 = 12 Dl.O(d1) = 128787812,142140890,154772863,166477907,177058992,186414808,273563917,194569724,194569723,264255507,194569729,186414814,262769687,166477907,166477905,154772861,262295293,177058993,186414811,263941901,263941903,186414813,177058994,177058991,177058990,273563917,194569724,186414806 Dl.O(d2) = 262624368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15001484, s2 = 9286217, dlinesl.size( ) = 20 s1 = 7702979, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4792980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4664303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4664303, s2 = 13988824, int(edited[s2]) = 0 s1 = 4664303, s2 = 13988824, d1 = 4, d2 = 14 Dl.O(d1) = 187746255,263660089 Dl.O(d2) = 156809920,144400500,131170379,272314271,117367700,261349753,156809908,168277874,263660090,156809924,168277897,178612984,187746256,264004189,208254289,264311690,273407850,156809908,168277874,263660090,144400503,144400502,156809923,168277896,168277888,168277889,262391715,144400501,271923559,103238326,89148198,89148197,103238323,117367707,131170377,144400496,156809909,261349761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4664303, s2 = 13988824, dlinesl.size( ) = 2 s1 = 4664303, s2 = 13988824, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4664303, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7710181, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4796908, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14516982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8717646, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8481843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8481843, s2 = 5042482, int(edited[s2]) = 0 s1 = 8481843, s2 = 5042482, d1 = 33, d2 = 128 Dl.O(d1) = 122968741,136798987,260974125,108703508,108703509,122968752,108703480,108703482 Dl.O(d2) = 205051260,210295987,264078846,209208651,203717133,263705709,180536865,170404440,159070607,146706703,146706702,159070605,170404437,180536860,189442820,197143811,203717123,209208645,203717125,197143813,189442818,263705707,193324012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8481843, s2 = 5042482, dlinesl.size( ) = 2 s1 = 8481843, s2 = 5042482, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8481843, Dl.E( ) = 148, 5.7e-05 seconds used appending s1 = 8518568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4801192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4801830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9257291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14735503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15052344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4926140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4926140, s2 = 14355331, int(edited[s2]) = 0 s1 = 4926140, s2 = 14355331, d1 = 19, d2 = 43 Dl.O(d1) = 203092087,196376160 Dl.O(d2) = 227710635,229378205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4926140, s2 = 14355331, dlinesl.size( ) = 34 s1 = 14121405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4806122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4806122, s2 = 2216011, int(edited[s2]) = 0 s1 = 4806122, s2 = 2216011, d1 = 96, d2 = 104 Dl.O(d1) = 203205644,196530934 Dl.O(d2) = 254446270,10976631,7265266,4581731,4581729,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041816,10041815,13010553,13010552,10042387,10042386,14594497,20335747,26594976,19789505,14174971,255312861,19804870,19804871,26613138,23751375,17425648,12282095,8294669,8294668,12282093,17425647,21902124,15822383,10964923,10964924,15822385,21901664,27211387,22049044,21903256,21903255,21901167,15821706,15821704,11803915,11803913,14171939,9742851,6406501,6406504,9742865,14171970,15638038,15638039,17760004,14552725,14552728,20282001,23186919,20246183,20246185,27157823,23020618,16780238,16780235,23020608,30425505,37775215,29213644,21899527,21899526,29213642,34587786,34587787,35334949,30525039,30525040,32354388,37480641,28938614,28938615,37480645,38801386,254762182,15946598,15946599,22049863,29380207,255445590,37356669,37356668,32156198,30606848,30606847,26215971,22042277,15939525,15939526,22042279,29373224,37939407,47698918,44641893,35257379,35256940,35256939,38801497,30217310,22824935,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,20980458,28159965,21899308,254349326,19200356,25857462,29394644,37959166,255073174,29634124,29634125,30697755,23455579,17177938,12078151,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,6153230,7503894,7503897,7884449,7536994,7536993,11341422,254528988,22467956,29834687,38406559,48317342,59704264,72440468,86038670,100001067,114027624,259378144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4806122, s2 = 2216011, dlinesl.size( ) = 2 s1 = 4806122, s2 = 2216011, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4806122, Dl.E( ) = 112, 3e-05 seconds used appending s1 = 11447198, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16223921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8556403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16280799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4679431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15273689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7739927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10257543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16289107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16289107, s2 = 6014789, int(edited[s2]) = 0 s1 = 16289107, s2 = 6014789, d1 = 46, d2 = 33 Dl.O(d1) = 180927167,189813232,264059163,197475297,189813230,189813229,197475295,203998767,197475270,197475271,273926605,203998787,264631167,203998772,197475275,189813208,180927145,170799440,159461321,159461320,170799437,263349231,180927150,189813216,197475272,203998768,264631163,213905777,213905778,274145703,203998762,197475265,197475266,197475287,263722123,263349229,263349227,189813204,180927141,170799436,159461319,147087059,133843277,133843276,262475039,147087082,261976391,261440953,159461345,159461329,262934593,189813218,180927152,170799446 Dl.O(d2) = 236248229,237080208,237839961,238530724,239163335,239744432,240281883,266980875,241671453,242066787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16289107, s2 = 6014789, dlinesl.size( ) = 38 s1 = 11409834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15642529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15642529, s2 = 16220138, int(edited[s2]) = 0 s1 = 15642529, s2 = 16220138, d1 = 28, d2 = 13 Dl.O(d1) = 40362228,50397365,55462374,50397537,269411033,47454535,37546579,29001002,21715712,21715714,29001007,31667836,31667835,31667828,24158414,17791149,12592421,12592420,17791145,24158408,31667819,31667726,31667728,35232346,35232347,35232355,35232354,44613758,55462367,47288862,37379313,37379312,40362236,44613769,35232366,28839181,28839180,37379383,28839217,24158343,17791118,17791119,24158347,31667711,32816212,32816211,41737070,41737105,32816243,32816242,41737103,52051809,63870912,52199625,52199627,59313473,58216496,51940480,49084328,39154432,30556849,30556851,30556843,23139438,23139439,23139461,16879177,11809082,11809083,255518555,30556872,39154461,49084350,60487655,73234502,259445647,114879474,128775748,142129704,271286626,154762810,142129707,142129706,128775751,121350527,121350526,257394362,154762812,142129708,128775755,128775754,142129706,142129703,128775747,259255688,86847472,259445647,114879475,128775750,142129702,128775747,259255686,86847472,259445647,114879475,128775749,142129704,271286626,154762810,154762811,160636806,154762812,142129709,128775755,114879481,114879480,128775753,128775757,114879482,260581258,258737404,269838717,261236731,154762809,166468883,263200857,194563102,197494234,189835177,180953056,170830583,159499636,147137833,133913061,120069512,105857001,259087760,77721561,269553536,52640656,42255261,33275696,25515327,25515328,33275698,257204901,64539726,77721560,91648979,105857000,120069511,133913060,147137831,159499635,170830580,180953055,189835175,197494233,204015548,264632315,217584983,220643882,265477697,227454314,229167169,230680441 Dl.O(d2) = 204078956,264024130,273424012,262886864,159598965,147243146,134025973,120192318,105991672,91796939,77874495,64684915,52770567,42371449,33382337,33382338,42371452,42371466,33382348,33382349,42371470,38683087,33115068,33115069,33008548,25283521,18710637,13317503,9098055,5952571,5952570,9098053,9098064,9098066,13317523,10297655,254706607,4243448,2537161,1461983,1461981,2537153,4243430,2559534,1474170,1474172,2559523,2559524,4255881,2544224,1465762,829386,829388,1465768,2544238,4255912,6788466,4255838,2696487,2696486,4488416,6849995,10392775,10392179,10392180,8600168,6787925,6787924,4268581,4268579,4282595,4243398,2537126,1461966,1461968,1461962,1461961,2537111,4243371,6770318,6808669,6808668,6811850,5955887,5955889,4272521,2554521,1471482,1471481,2554517,4272515,6811860,6822456,6822457,9093349,6796076,4261323,2547603,1467625,1467627,2547609,2888429,4791858,7576292,9096769,13316085,14997384,10383185,10383184,15057488,17880998,23472761,20910050,20873370,18684508,14991684,10387001,254710184,3723454,3723453,5953994,267957670,10301257,6773582,6773530,4245625,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1061881,1061879,1860745,2219865,2219864,3706644,5927953,3725248,2230421,2230420,267858903,9103697,10283098,10283099,14948902,20849211,22000501,20937936,20937937,17197940,12093346,8132766,8132765,12093344,268247323,30918096,257038207,60865098,73615305,87236815,101237107,115315502,129243703,142613650,155249232,166932813,177470222,186776223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15642529, s2 = 16220138, dlinesl.size( ) = 8 s1 = 7010332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7010332, s2 = 10209444, int(edited[s2]) = 0 s1 = 7010332, s2 = 10209444, d1 = 15, d2 = 5 Dl.O(d1) = 261295822,262345550,197529311,263244942,211403672,264288046,215495880,215495905,211403708,206397203,200343789,263857000,264468202,218877042,221731720,218877023,215495873,211403650,206397164,200343762,193177649,193177650,200343764,206397165,264179588,193177673,193177663,184828124,184828123,193177661,200343780,206397193 Dl.O(d2) = 175265369,164488984,152637606,260524542,112702490,98706902,98706903,258676950,71210379,58488898,47111083,37214289,28689622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7010332, s2 = 10209444, dlinesl.size( ) = 2 s1 = 7010332, s2 = 10209444, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 7010332, Dl.E( ) = 16, 2.19e-05 seconds used appending s1 = 4819492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16256155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7095286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4821934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123724, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4821956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4691013, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16170402, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8781206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8781206, s2 = 13798342, int(edited[s2]) = 0 s1 = 8781206, s2 = 13798342, d1 = 0, d2 = 0 Dl.O(d1) = 272719647,204203362,209616389,209616388,214058391,214058386,209616383,204203353,197716726,190104930,181288863,181288862,190104928 Dl.O(d2) = 272719647,204203362,209616389,209616388,214058391,214058386,209616383,204203353,197716726,190104930,181288863,181288862,190104928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8781206, s2 = 13798342, dlinesl.size( ) = 2 s1 = 8781206, s2 = 13798342, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8781206, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11441566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14988721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16394640, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4555187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8669084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4700001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4700001, s2 = 8475958, int(edited[s2]) = 0 s1 = 4700001, s2 = 8475958, d1 = 26, d2 = 99 Dl.O(d1) = 191237776 Dl.O(d2) = 170893454,159565589,261449394,133983759,147206455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4700001, s2 = 8475958, dlinesl.size( ) = 81 s1 = 7130773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14648021, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7130993, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10261111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13903313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4834104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4834104, s2 = 4489791, int(edited[s2]) = 0 s1 = 4834104, s2 = 4489791, d1 = 0, d2 = 0 Dl.O(d1) = 199049977,199049978,201619181,201619182,273751960,194641276,186493263,177144658,166570291,154869097,142234905,128883346,114981437,100927850,86945213,73334406,60590074,49189806,49189807,51184992,49189808,39935763,31260551,254918608,12297611,254476294,23775438,31260553,26900847,20018509,14337524,254083930,13174033,13431213,9182942,6010300,6010301,6551654,254070388,20192723,25975150,27027159,27027158,35113627,43854091,35110682,27024405,20134632,20134631,27026310,27027024,27027023,35113509,44487821,254472094,35111532,27025176,27025178,27027079,20134576,20134577,27027081,35113567,44488924,43853974,34582542,34582541,43853972,43854092,35111927,34582526,34582525,34582624,43854004,41483601,32604797,24941353,24941352,32604794,34582722,26595564,22551051,22551050,29907265,27025190,20133029,14439701,14439702,20133032,27025194,20133066,20133068,20134523,20134524,27027013,35113505,254977124,35111539,35111538,44488654,54598102,43853980,255746724,19789925,14175317,9745148,6407956,6407955,9745141,14175312,254472068,34582530,43853957,34582539,34582540,26595558,19790010,14175365,14175364,19790007,26595556,20133323,14439967,14439965,20133317,27025515,34582597,34582533,34582534,27025270,27025272,35111600,28990670,26595598,26595596,34582759,43854121,54598173,43854114,39778060,39778059,31099728,31099729,34582861,43854198,254215050,35110694,44487830,35113253,35113254,44490099,43853967,43853965,54598093,59748849,48366070,38464603,38464602,39778075,48366040,48366039,59748837,50425985,40392273,254472066,17822083,17822084,24191236,26595672,26595671,34582844,43854181,40392281,34582659,268549756,9745168,9745167,14175348,19789975,26595486,26595605,26595604,26595682,19790085,14175405,14175406,19790089,26595687,34582858,43854112,43854088,43854089,47482581,37576756,37576757,38464648,29907328,29907329,34582640,29029576,21738786,21738787,29029579,35111201,27024861,27024860,35111200,29907220,29907221,29361873,22031104,15929599,15929597,22031102,19790071,14175398,14175399,19790075,26595666,34582838,43854177,38464666,38464665,48366014,43854152,34582797,26595627,26595629,34582802,29907134,29347256,22015213,15913600,15913601,22015218,29347261,256221562,38464440,40786739,32029907,32029906,28353738,21139584,21139583,18406959,13074388,13074387,18406957,24912444,24467670,24467671,24912398,18406929,18406930,24912402,32564402,41424573,51666817,268549748,268338630,39389472,33773132,25963463,25963462,33773129,41424574,47790371,59190587,63410319,61593268,61593269,51666920 Dl.O(d2) = 199049977,199049978,201619181,201619182,273751960,194641276,186493263,177144658,166570291,154869097,142234905,128883346,114981437,100927850,86945213,73334406,60590074,49189806,49189807,51184992,49189808,39935763,31260551,254918608,12297611,254476294,23775438,31260553,26900847,20018509,14337524,254083930,13174033,13431213,9182942,6010300,6010301,6551654,254070388,20192723,25975150,27027159,27027158,35113627,43854091,35110682,27024405,20134632,20134631,27026310,27027024,27027023,35113509,44487821,254472094,35111532,27025176,27025178,27027079,20134576,20134577,27027081,35113567,44488924,43853974,34582542,34582541,43853972,43854092,35111927,34582526,34582525,34582624,43854004,41483601,32604797,24941353,24941352,32604794,34582722,26595564,22551051,22551050,29907265,27025190,20133029,14439701,14439702,20133032,27025194,20133066,20133068,20134523,20134524,27027013,35113505,254977124,35111539,35111538,44488654,54598102,43853980,255746724,19789925,14175317,9745148,6407956,6407955,9745141,14175312,254472068,34582530,43853957,34582539,34582540,26595558,19790010,14175365,14175364,19790007,26595556,20133323,14439967,14439965,20133317,27025515,34582597,34582533,34582534,27025270,27025272,35111600,28990670,26595598,26595596,34582759,43854121,54598173,43854114,39778060,39778059,31099728,31099729,34582861,43854198,254215050,35110694,44487830,35113253,35113254,44490099,43853967,43853965,54598093,59748849,48366070,38464603,38464602,39778075,48366040,48366039,59748837,50425985,40392273,254472066,17822083,17822084,24191236,26595672,26595671,34582844,43854181,40392281,34582659,268549756,9745168,9745167,14175348,19789975,26595486,26595605,26595604,26595682,19790085,14175405,14175406,19790089,26595687,34582858,43854112,43854088,43854089,47482581,37576756,37576757,38464648,29907328,29907329,34582640,29029576,21738786,21738787,29029579,35111201,27024861,27024860,35111200,29907220,29907221,29361873,22031104,15929599,15929597,22031102,19790071,14175398,14175399,19790075,26595666,34582838,43854177,38464666,38464665,48366014,43854152,34582797,26595627,26595629,34582802,29907134,29347256,22015213,15913600,15913601,22015218,29347261,256221562,38464440,40786739,32029907,32029906,28353738,21139584,21139583,18406959,13074388,13074387,18406957,24912444,24467670,24467671,24912398,18406929,18406930,24912402,32564402,41424573,51666817,268549748,268338630,39389472,33773132,25963463,25963462,33773129,41424574,47790371,59190587,63410319,61593268,61593269,51666920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4834104, s2 = 4489791, dlinesl.size( ) = 2 s1 = 4834104, s2 = 4489791, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4834104, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 4705424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4705424, s2 = 15893210, int(edited[s2]) = 0 s1 = 4705424, s2 = 15893210, d1 = 43, d2 = 97 Dl.O(d1) = 191680939 Dl.O(d2) = 15971723,12243627,8268809,8268810,254124102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4705424, s2 = 15893210, dlinesl.size( ) = 2 s1 = 4705424, s2 = 15893210, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4705424, Dl.E( ) = 120, 2.69e-05 seconds used appending s1 = 8742815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8742815, s2 = 8858783, int(edited[s2]) = 0 s1 = 8742815, s2 = 8858783, d1 = 49, d2 = 36 Dl.O(d1) = 168784849,179064219,188129342,196029495,202791918,208471595,210546963,205365977,199106300,199106301,192065299,183520720,273503145,192065300,263016196,162748517,150652784,137655504,137655502 Dl.O(d2) = 229529265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8742815, s2 = 8858783, dlinesl.size( ) = 24 s1 = 13799855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4836791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238878, s2 = 13768063, int(edited[s2]) = 0 s1 = 7238878, s2 = 13768063, d1 = 42, d2 = 3 Dl.O(d1) = 264418725,210641230,264125215 Dl.O(d2) = 91330590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238878, s2 = 13768063, dlinesl.size( ) = 40 s1 = 16326258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7709062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7709062, s2 = 10354548, int(edited[s2]) = 0 s1 = 7709062, s2 = 10354548, d1 = 10, d2 = 12 Dl.O(d1) = 273335037 Dl.O(d2) = 123616232,260399840,150390073,148103457,257909564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7709062, s2 = 10354548, dlinesl.size( ) = 18 s1 = 5066433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16322443, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15942547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10212170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15689651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15550223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16244087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4712753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4712753, s2 = 11657877, int(edited[s2]) = 0 s1 = 4712753, s2 = 11657877, d1 = 14, d2 = 64 Dl.O(d1) = 191991101 Dl.O(d2) = 20066032,14381934,9887512,9887513,14381679,9887318,9887319,14381682,14381691,16373921,20038839,14388026,14380536,14380538,20064605,21661502,21661503,16920037,11841596,11841593,16920029,14384468,14368390,14368391,14376504,15725572,15718109,15227431,12302185,12302184,12302249,8309169,5361437,5361438,6079332,6079333,7715423,4883344,4883342,7715418,9871427,7976434,5075962,3078209,3078208,4071171,5076074,7976582,5076094,4533737,2725297,1579165,897796,897798,897785,897787,1579142,2725021,2725019,4053367,4053362,4536380,2726969,1579983,898193,506713,506716,898213,1580022,2726952,2726947,4536677,4536761,7200939,7198934,7198935,7912545,6503741,6503737,4498262,4498264,7143821,10811020,9896048,6503452,6503449,9883576,9883551,9883553,14377484,14377538,10885769,9848506,6895727,6895726,7198650,4535280,2726165,1579564,897990,506605,284096,156959,86219,86220,156963,284112,506638,898054,753886,428276,428278,753889,1321431,2278561,3803898,4535442,4535441,7198937,10886825,15723468,21782449,29080357,37630668,47536283,58917208,71637804,85202496,99125117,101778126,87805675,74202259,257643197,257060624,17440657,12294026,12294025,268253979,31252983,39928212,49945751,61423626,74202256,87805672,101778122,115824299,129723311,143053949,155603437,262806407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4712753, s2 = 11657877, dlinesl.size( ) = 2 s1 = 4712753, s2 = 11657877, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4712753, Dl.E( ) = 66, 3.79e-05 seconds used appending s1 = 15972787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7127478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7127478, s2 = 8745465, int(edited[s2]) = 0 s1 = 7127478, s2 = 8745465, d1 = 55, d2 = 64 Dl.O(d1) = 262939208 Dl.O(d2) = 263829916,192312029,199617124,205799184,205799183,263829914,183833001,263820573,263457420,184057760,192514111,199791859,205944818,211032505,215190111,218523270,215087086,264707144,210911411,210911409,205799195,199617130,199617128,264438613,263829914,183833001,263820573,263457420,184057760,192514111,199791859,205944818,211032505,215190111,218523270,215087086,264707144,210911411,210911409,205799195,199617130,192312031,183833006,174162874,262132686,262119801 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4844553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4845161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4845161, s2 = 4243065, int(edited[s2]) = 0 s1 = 4845161, s2 = 4243065, d1 = 24, d2 = 61 Dl.O(d1) = 199433168 Dl.O(d2) = 162639444,150519371,150519372,162639447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4845161, s2 = 4243065, dlinesl.size( ) = 2 s1 = 4845161, s2 = 4243065, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4845161, Dl.E( ) = 88, 2.1e-05 seconds used appending s1 = 11448774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448774, s2 = 1790560, int(edited[s2]) = 0 s1 = 11448774, s2 = 1790560, d1 = 0, d2 = 7 Dl.O(d1) = 183896130,192370977 Dl.O(d2) = 47062329,37170542,37170541,32252412,24653234,18195358,12905674,12905675,18195359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448774, s2 = 1790560, dlinesl.size( ) = 2 s1 = 11448774, s2 = 1790560, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11448774, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14138721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138721, s2 = 11195432, int(edited[s2]) = 0 s1 = 14138721, s2 = 11195432, d1 = 55, d2 = 81 Dl.O(d1) = 222187424 Dl.O(d2) = 3010411,4983774,3010431,3010432,4983846,7851961,11760278,13124728,18473915,23066458,30476879,39069257,39069256,256621706,73132953,86739784,100715399,114764423,114764424,125461173,111658575,97737705,83878789,70353920,57664275,57664274,70353918,83878784,97737701,97737698,97737699,259997758,112670129,98675523,98675522,98675521,84747895,71179124,256400538,37183909,268085972,15427442,15427443,10730255,10730254,15514922,21527594,28792341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138721, s2 = 11195432, dlinesl.size( ) = 18 s1 = 9296478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8628220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8628220, s2 = 11317646, int(edited[s2]) = 0 s1 = 8628220, s2 = 11317646, d1 = 36, d2 = 14 Dl.O(d1) = 263483003,163493536,163493533,262617291,183996255,192459507,199745741,264153493,211003592,264942071,218598026 Dl.O(d2) = 261277507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8628220, s2 = 11317646, dlinesl.size( ) = 2 s1 = 8628220, s2 = 11317646, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 8628220, Dl.E( ) = 50, 1.5e-05 seconds used appending s1 = 8745529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7240909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7240909, s2 = 7257595, int(edited[s2]) = 0 s1 = 7240909, s2 = 7257595, d1 = 23, d2 = 25 Dl.O(d1) = 264443836 Dl.O(d2) = 264643976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7240909, s2 = 7257595, dlinesl.size( ) = 28 s1 = 7136664, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11433744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433744, s2 = 7193702, int(edited[s2]) = 0 s1 = 11433744, s2 = 7193702, d1 = 6, d2 = 6 Dl.O(d1) = 28418035,36915856,258032408,263083881,264168811,263845025 Dl.O(d2) = 28418035,36915856,258032408,263083881,264168811,263845025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433744, s2 = 7193702, dlinesl.size( ) = 2 s1 = 11433744, s2 = 7193702, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 11433744, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15692153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4729791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4729791, s2 = 10424586, int(edited[s2]) = 0 s1 = 4729791, s2 = 10424586, d1 = 37, d2 = 69 Dl.O(d1) = 193010470 Dl.O(d2) = 259384476,101164800,87166692,73548191,60801128,49400473,46307004,36454089,36454090,38408326,29836130,29836131,38408329,48319089,59705822,59705815,48319077,42170830,33211081,33211082,37026497,37026498,46903981,57651773,46307028,36454108,36454107,46307027,57651770,57651768,57651769,48017753,38107647,38107646,29544451,22201204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4729791, s2 = 10424586, dlinesl.size( ) = 2 s1 = 4729791, s2 = 10424586, "passes" = passes Sat Dec 09 04:19:10 2017: s1 = 4729791, Dl.E( ) = 76, 2.5e-05 seconds used appending s1 = 9576128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4729911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4729911, s2 = 7515442, int(edited[s2]) = 0 s1 = 4729911, s2 = 7515442, d1 = 0, d2 = 61 Dl.O(d1) = 193012750 Dl.O(d2) = 267399426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4729911, s2 = 7515442, dlinesl.size( ) = 2 s1 = 4729911, s2 = 7515442, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4729911, Dl.E( ) = 88, 3.91e-05 seconds used appending s1 = 4730223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4730223, s2 = 4650243, int(edited[s2]) = 0 s1 = 4730223, s2 = 4650243, d1 = 0, d2 = 44 Dl.O(d1) = 193019860 Dl.O(d2) = 187045643,177771884,167277795,155646353,143094924,129764468,129764469,143094925,155646354,167277797,177771886,177771880,177771879,187045640,195123053,195123059,195123049,187045638,177771878,167277791,167277792,263237465,177771874,187045615,187045616,195123027,202031967,195123043,187045632,177771870,167277785,167277786,263237463,187045618,177771858,177771856,187045614,263971431,187045631,177771868,167277785,167277786,263237463,195123029,195123039,195123046,202031963,195123036,187045624,177771863,177771862,187045619,177771880,177771879,187045640,195123053,195123059,195123049,187045638,177771878,167277791,167277792,167277789,155646349,143094921,143094920,155646347,167277786,263237463,195123029,195123039,195123046,202031963,202031964,202031972,195123041,195123040,195123028,195123027,202031968,202031971,195123038,187045627,177771865,177771864,187045625,195123032,195123033,202031966,195123025,187045613,187045614,195123026,273576421,187045652,264282133,195123059,195123049,187045638,177771878,167277791,167277792,263237465,177771874,187045636,195123048,263623085,263623083,187045647,177771889,167277799,167277800,177771891,187045622,187045623,177771882,177771881,262809081,167277797,177771886,177771880,177771879,187045640,195123053,195123059,195123049,187045638,177771878,167277791,167277792,167277789,155646349,143094921,129764467,115865148,101818718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4730223, s2 = 4650243, dlinesl.size( ) = 28 s1 = 13581801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13581801, s2 = 14013204, int(edited[s2]) = 0 s1 = 13581801, s2 = 14013204, d1 = 27, d2 = 19 Dl.O(d1) = 164355807,271765442,272525638,206326963,211339112,263486352,264170280,221679997,224135326,226264593,264954718,274337270,233199474,231980739,230627696,229109073,227389500,225423599,223162816,220547399,274011006,264279324,263619750,189567593,262332850,133559550,119684484,114210500,100178160,86214420,72615951,59877634,48486136,38572940,30002311,22632678,16445360,11458211,255104899,255925683,38572930,48486123,257197875,42142589,52501105,64375178,77543623,86132684,77543639,64375198,52501127,268745739,256642639,38117901,269807809,127593876,140943300,262228645,174129618,174129622,163271834,163271835,263051843,192285436,183804277,183804276,273837343,205774993,273966947,192285498,183804326,174129657,263051851,192285496,199591734,199591733,264436897,274078353,207349430,201450776,264145337,183804298,263455557,199591732,199591742,199591741,199591743 Dl.O(d2) = 263051849,183804283,263455547,199591698,205774992,210887697,264145333,183804282,263455545,199591692,192285474,263051847,174129643,183804312,192285477,264145341,210887680,210887681,215064285,218502650,221394559,265679779,226024429,265342931,264935087,210887724,205775019,199591729,263455555,163271841,163271842,174129635,263455557,199591732,199591742,192285475,263818851,274544024,265519921,223874190,226024430,265342931,264935087,210887684,205774978,199591686,199591688,205774981,210887689,210887703,205774998,205774996,205775003,264436891,205775047,199591775,192285506,274441558,205775017,199591726,263455553,174129633,163271840,163271838,174129630,183804294,192285463,199591721,205775014,210887720,215064312,218502670,215835493,211799780,264213355,264213357,274078351,218502677,215064320,264436899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13581801, s2 = 14013204, dlinesl.size( ) = 2 s1 = 13581801, s2 = 14013204, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13581801, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 4861109, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16082289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15589440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4863516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10243253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7232444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7232444, s2 = 11516560, int(edited[s2]) = 0 s1 = 7232444, s2 = 11516560, d1 = 88, d2 = 73 Dl.O(d1) = 264324120 Dl.O(d2) = 216546836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7232444, s2 = 11516560, dlinesl.size( ) = 38 s1 = 13915243, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10358620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358620, s2 = 8969145, int(edited[s2]) = 0 s1 = 10358620, s2 = 8969145, d1 = 120, d2 = 123 Dl.O(d1) = 200465881,200465882,206507067,201819238,200465878,193312210,184977480,175432812,175432811,184977478,263115516,164674388,261675966,184977493,193312229,200465888,200465889,200465883,273534070,264192330,264479463,193362826,263870987,264479461,212474793,264479478,264192346,194881666,194881665,201819240,200465863 Dl.O(d2) = 274554516,234771428,235737388,236615878,236615875,236615874,237416219,238143239,238805184,239413395,239974919,240495288,240978381,241425292,241839480,242222282,242576236,242906181,243213231,242906184,242576244,242222286,241839485,241425298,240978384,240495290,239974922,266660296,238805186,266728704,240495292,240978388,241425305,241839490,242222290,267043516,267043514,242576231,274889648,267043518,241425299,240978385,240495291,240495292,240978388,241425305,241839490,242222283,241839482,241425295,241425296,241425313,240978390,266791524,239413402,266586400,237416224,236615876,235737387,235737388,236615878,236615875,236615874,237416219,238143239,238805184,239413395,239974919,240495288,240978381,241425292,241839480,242222282,242576236,242906181,243213231,242906184,242576244,242222286,241839485,241425298,240978384,240495290,239974922,266660296,238805186,266728704,240495292,240978387,241425303,267000376,242576231,274889648,267043518,241425299,240978385,240978386,241425302,241839487,242222288,242222278,241839478,241839475,242222273,242576236,242906181,243213231,242906184,242576244,242222286,242222287,242222285,241839483,241425313,240978390,266791524,239413402,266586400,237416224,236615876,235737387,235737388,236615878,236615875,236615874,237416219,238143239,238805184,239413395,239974919,240495288,240978381,241425292,241839480,242222282,242576236,242906181,243213231,242906184,242576244,242222286,242222287,242222285,241839483,241425313,240978390,266791524,239413402,266586400,237416224,236615876,235737387,235737388,236615879,274817518,274754846,274522484 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11454530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7204181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15788650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7140126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7140126, s2 = 6243000, int(edited[s2]) = 0 s1 = 7140126, s2 = 6243000, d1 = 27, d2 = 43 Dl.O(d1) = 263120523 Dl.O(d2) = 244663610,244849360,245024307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7140126, s2 = 6243000, dlinesl.size( ) = 2 s1 = 7140126, s2 = 6243000, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7140126, Dl.E( ) = 58, 1.6e-05 seconds used appending s1 = 8673489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16273357, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4871516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4455525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15264676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4873936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13698539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7073746, s2 = 11506606, int(edited[s2]) = 0 s1 = 7073746, s2 = 11506606, d1 = 6, d2 = 8 Dl.O(d1) = 262200708 Dl.O(d2) = 264974818,265243274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7073746, s2 = 11506606, dlinesl.size( ) = 2 s1 = 7073746, s2 = 11506606, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7073746, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 6999323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317608, s2 = 15705760, int(edited[s2]) = 0 s1 = 11317608, s2 = 15705760, d1 = 0, d2 = 0 Dl.O(d1) = 219821499,219189030,215853648,211821301,206885282,200910416,193828712,185569141,176104629,269966046,140973742,127624037,113755323,99740841,85787013,72192977,59455145,48063926,254435332,29585123,22287337,16143512,16143513,16102046,11184513,7421108,4689600,2825732,1639479,932326,932325,1639476,2825603,1639418,1639419,2825604,4689366,7420720,254524192,22236397,29584248,22287882,22287883,23187032,16935051,11852565,7921770,5036326,5036325,7921767,11852559,16935042,22166226,22286735,22251441,22251440,22286777,22287121,29638863,256297442,59504250,72239130,59640285,48253555,48253556,59640289,72374440,85969209,85969221,260005853,99926784,99784119,85831119,85831120,258025400,72239120,85831113,259276964,72374437,59640283,48253554,48253552,59640282,258762773,259896120,113798104,99784114,269772494,72239121,85831116,99784111 Dl.O(d2) = 219821499,219189030,215853648,211821301,206885282,200910416,193828712,185569141,176104629,269966046,140973742,127624037,113755323,99740841,85787013,72192977,59455145,48063926,254435332,29585123,22287337,16143512,16143513,16102046,11184513,7421108,4689600,2825732,1639479,932326,932325,1639476,2825603,1639418,1639419,2825604,4689366,7420720,254524192,22236397,29584248,22287882,22287883,23187032,16935051,11852565,7921770,5036326,5036325,7921767,11852559,16935042,22166226,22286735,22251441,22251440,22286777,22287121,29638863,256297442,59504250,72239130,59640285,48253555,48253556,59640289,72374440,85969209,85969221,260005853,99926784,99784119,85831119,85831120,258025400,72239120,85831113,259276964,72374437,59640283,48253554,48253552,59640282,258762773,259896120,113798104,99784114,269772494,72239121,85831116,99784111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317608, s2 = 15705760, dlinesl.size( ) = 2 s1 = 11317608, s2 = 15705760, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11317608, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 11384106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7720437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4757756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4757907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2086927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4622718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4885434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4885434, s2 = 11119786, int(edited[s2]) = 0 s1 = 4885434, s2 = 11119786, d1 = 101, d2 = 98 Dl.O(d1) = 201185902,201185903,264513293,194143535,185921583,176490977,176490976,185921581 Dl.O(d2) = 3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983774,3010435,3010438,4983866,7852016,268097959,30477034,39069467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4885434, s2 = 11119786, dlinesl.size( ) = 14 s1 = 16314435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7085916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7085916, s2 = 2445119, int(edited[s2]) = 0 s1 = 7085916, s2 = 2445119, d1 = 54, d2 = 6 Dl.O(d1) = 262347420 Dl.O(d2) = 68054470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7085916, s2 = 2445119, dlinesl.size( ) = 8 s1 = 16237173, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16106609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7248207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4894452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7193945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15967990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15967990, s2 = 14165827, int(edited[s2]) = 0 s1 = 15967990, s2 = 14165827, d1 = 16, d2 = 29 Dl.O(d1) = 261568252,137604684,123926593,121358711,259805470,95588968,81555538,68065611 Dl.O(d2) = 257715066,257715064,30465170,256458205,44823347,35397952,27271478,20335781,14594525,14594524,16141801,16142085,11214043,11214044,13702717,9385156,6411750,4022365,4022363,6411424,6411423,9750913,257285415,66868734,80298070,256670796,74635259,61843117,61843118,74635261,88265421,102263645,92369016,78336198,65057178,65057177,256670800,46764201,58131872,70846050,84403312,98312890,112295601,106673027,92369033,268502390,63731043,63731044,76834164,255687720,256670790,86455354,72859531,72859532,258142906,47031291,37142696,37142695,47031284,47031283,37142692,257440715,47031278,258051107,72030042,59293778,256382704,37981449,47898536,47898539,37981453,29418534,22088007,22088006,29418532,37981451,47898538,47898534,37981447,29418530,22088005,15981470,11094580,11094581,15981472,22088009,29418537,37981445,37981446,47898532,59293779,72030043,85618544,259361857,270835584,85618540,72030040,72030041,85618541,259980149,127461882,140822146,262222647,272782744,140887704,260582004,99646961,99646960,99646963,85697861,85697862,259985367,113660826,261162511,260410952,111610484,111610485,260410954,123774075,123774076,125409332,111610487,97691918,83834022,257322858,57618197,46273645,36421017,27962807,27962808,268938388,70308870,83834028,97691928,111610495,125409337,113585699,99569093,259360622,97691923,260464319,138732748,272813081,153686937,146218305,132985159,127672832,113804886,99791050,85838358,85838359,99791051,113585695,99569091,85618549,72030047,72030046,85618547,99569088,113585692,127461892,140822150,140822149,127461889,271797358,127461888,261157909,119150264,260582006,261157911,272690189,119150262,132985161,271521017,259000377,76895556,90774420,260669208,146218307,272974605,132973354,119138718,260840001,132973357,261408689,158580297,169945918,180121594,169945916,158580295,146206289,260669206,132973356,132973355,259453420,112933260,112933259,105531533,91313485,77394490,268971110,271367355,73339790,60595015,60595014,72336718,72336719,72480080,72480081,85930650,99886004,113904603,127779527,141136695,141685432,257325118,100434593,114459133,100434597,86477400,72881999,72881997,60145498,60145499,48751178,38831100,30247600,30247601,38831095,30247596,256443205,48751172,50025860,61503946,65735521,256346610,256888248,28994295,28994294,37539595,47447588,58833667,71560981,257468534,43169149,43169150,53679445,46878438,46878439,55446704,44596770,35215870,35215871,256314018,60145484,72454990,86053675,81258825,258041403,28529723,28529722,37027733,46905000,257431516,269393539,31141964,256127801,25448867,33194526,42153528,52511438,58270345,258041401,78516378,71464003,71464002,85035885,98960811,112949870,272164194,260320781,92563121,92563120,106882535,121150557,134960433,136848605,149982112,136848611,123017830,259767925,259767923,123017827,108748872,94455682,80396369,66966157,54707118,54707117,66966155,80396367,94455675,80396361,258007416,54707116,66966153,80396364,94455677,80396370,80396371,94455685,94455676,259767915,98960808,98960807,98960809,98960810,112949869,112949865,257768968,85035880,98960806,98960805,269070822,71463993,269320169,37439408,47346504,58734281,71463996,58734279,58734278,58734273,47346513,37439419,28899084,28899086,37439422,37439407,28899075,21623898,254910326,10787186,15593340,21623903,28899081,36500594,36500595,38519420,48427039,42846740,42846739,53309228,57732671,57732670,70427174,83953587,83953586,71406775,256415160,47281394,58672605,58672603,47281393,255477678,255917952,37372079,28832448,255477676,21561795,15540609,15540608,21561789,15540611,10747869,7100899,7100898,10747867,15540607,21561793,255477674,38439071,29880819,29880818,22525074,267834962,11376802,7558287,4779392,2880348,1671491,1671493,2880355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15967990, s2 = 14165827, dlinesl.size( ) = 2 s1 = 15967990, s2 = 14165827, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15967990, Dl.E( ) = 30, 1.41e-05 seconds used appending s1 = 14143789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4898727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4326279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4326279, s2 = 9202483, int(edited[s2]) = 0 s1 = 4326279, s2 = 9202483, d1 = 63, d2 = 49 Dl.O(d1) = 166611079,260417092 Dl.O(d2) = 74488156,61704994,61704993,67538256,55194147,44343411,34965927,26887180,26887181,34965929,26887183,26887182,256735461,55194157,55194173,55194174,55194190,44343438,34965945,34965944,44343436,55194185,55194171,55194172,55194198,50223066,40200654,40200653,257665907,74488184,88100617,258061662,95067016,95067022,102087636,102087637,102087639,88100624,88100626,102087641,95067028,95067029,102515337,88507338,76126530,63121270,257192918,41227443,51424528,63121259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4326279, s2 = 9202483, dlinesl.size( ) = 18 s1 = 16224601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447536, s2 = 3603461, int(edited[s2]) = 0 s1 = 11447536, s2 = 3603461, d1 = 18, d2 = 15 Dl.O(d1) = 260048443 Dl.O(d2) = 123546137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447536, s2 = 3603461, dlinesl.size( ) = 2 s1 = 11447536, s2 = 3603461, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11447536, Dl.E( ) = 28, 2.6e-05 seconds used appending s1 = 7017971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7017971, s2 = 10355878, int(edited[s2]) = 0 s1 = 7017971, s2 = 10355878, d1 = 17, d2 = 29 Dl.O(d1) = 261420533,133513660,272366487,159144579,263220139 Dl.O(d2) = 164323350,261645579,261645577,259569981,75448320,89200043,103294800,117429787,131238422,144474199,156886779,262861071,187799111,262861069,261892073,261353129,156886770,156886771,144474191,144474192,156886773,156886775,273192793,261669692,131499299,270816452,258329771,62745006,256879962,24603747,24603748,24728466,18255635,12952353,12952355,18255641,24728477,32192471,32192472,40972311,51114232,40972037,32192236,32192235,37127921,28616555,21380319,21380318,28616551,37127913,47015249,51114327,58381833,58381832,258049849,63024617,76007695,256518374,51113565,40971334,32191668,32191669,35119321,256747795,258533585,67682815,258353096,257152106,70862544,84419860,74134748,61352930,49871094,39848844,39848843,49871091,55743214,68141123,55743216,55743215,53493237,53493238,65516756,58440094,47064404,47064405,42785030,33754104,269102077,78514515,92561012,106880167,121147878,260415714,95534976,95534977,84657009,71094407,71094406,258549358,35312482,257328421,68016803,259804426,259804425,123889622,137577130,150581755,162686353,264137359,199389677,264430025,274074949,219122147,215778248,211734687,206786149,263473124,193700403,185423297,175938069,166509366,154802993,154802992,166509365,177090480,186445095,193700394,185423286,185423285,192518065,184062478,260487170,163566727,174408208,184062479,174408218,163566734,151686431,259885176,153433467,260487174,151686429,151686427,163566729,273317473,174481332,174481331,173544006,162508767,162508768,150376450,262084171,173543955,262084161,150376399,162508716,261553901,123602498,123602499,137334642,150376413,150376412,162508729,173543969,183342155,191907994,264128065,264227682,202005078,263911174,273994484,274102122,264227686,264227688,212613889,212613887,263911180,195089609,187006501,177726706,167229260,167229261,177726708,187006504,195089596,273552036,264227690,216530178,264227680,202005084,195089597,187006492,177726682,177726683,167229264,262251716,187006480,177726669,177726670,187006482,195089593,264559917,212613885,207820512,202005089,264227678,202005085,195089599,187006490,187006489,273129176,177726637,167229200,155597700,143047745,129717109,115818348,115818347,115818344,115818343,115818350,115818346,115818345,129717107,143047741,143047747,129717121,260638834,143047752,129717116,115818354,101772692,101772693,115818355,115818358,115818356,129717119,143047757,143047823,129717181,259421758,101772731,260038594,143047749,129717111,129717112,143047750,155597703,155597772,143047810,129717169,115818401,115818402,129717170,143047812,261079632,139506468,152237471,164124350,174945555,184551820,192940593,200136854,192940590,262636358,174945553,174945820,184552112,263841808,200136841,206213724,211238865,264951111,216125884,212142724,264779923,219425786,265308697,217782975,214150263,264632492,197864979,190277360,190277359,197864977,204331490,209726127,214150254,217782965,265308691,217782981,217782982,220815596,217782947,217782945,219425780,218737313,215344804,215344803,216125876,219425782,222213353,224606442,226684390,274400270,265577403,265356756,264716031,218737359,215344849,211238876,211238869,211238868,211238859,206213720,206213702,200136829,200136830,206213700,207820533,202005112,202005111,207820528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7017971, s2 = 10355878, dlinesl.size( ) = 14 s1 = 7143479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16335219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16221309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7084286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8852835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8852835, s2 = 15817695, int(edited[s2]) = 0 s1 = 8852835, s2 = 15817695, d1 = 34, d2 = 57 Dl.O(d1) = 224849439,226895786,226895788,265426606,219745850,216493537,264557122 Dl.O(d2) = 240961600,274811768,239391616,266726020,237386776,236583367,236583366,237386775,238116887,238781172,239391637,266726022,266951347,266789058,266789056,266901668,240961594,240961616,274811774,266789050,239391631,238781167,238781168,239391632,266789052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 4651702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4651702, s2 = 5122886, int(edited[s2]) = 0 s1 = 4651702, s2 = 5122886, d1 = 4, d2 = 0 Dl.O(d1) = 187122378,195194783,202095799,202095801 Dl.O(d2) = 212676785,264236208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4651702, s2 = 5122886, dlinesl.size( ) = 2 s1 = 4651702, s2 = 5122886, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4651702, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 7150483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7150483, s2 = 11018100, int(edited[s2]) = 0 s1 = 7150483, s2 = 11018100, d1 = 28, d2 = 45 Dl.O(d1) = 263246405 Dl.O(d2) = 15694156,10864615,7183328,7183327,7183329,10864617,15694158,21745580,21745578,21745577,29037691,34658270,26666376,19850872,15154069,10451085,10451083,15154065,21096987,22233448,22233446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7150483, s2 = 11018100, dlinesl.size( ) = 2 s1 = 7150483, s2 = 11018100, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7150483, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 4344409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8683487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14993177, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4790313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4790313, s2 = 5125895, int(edited[s2]) = 0 s1 = 4790313, s2 = 5125895, d1 = 1, d2 = 10 Dl.O(d1) = 195309149 Dl.O(d2) = 212751054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4790313, s2 = 5125895, dlinesl.size( ) = 14 s1 = 6886572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6886572, s2 = 11276530, int(edited[s2]) = 0 s1 = 6886572, s2 = 11276530, d1 = 187, d2 = 221 Dl.O(d1) = 259668154,187140331,178014891,261981146,262938390,195309764 Dl.O(d2) = 88331011,88331010,102326822,116419462,102326827,88331013,88331012 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7151194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7011789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7011789, s2 = 13270204, int(edited[s2]) = 0 s1 = 7011789, s2 = 13270204, d1 = 17, d2 = 32 Dl.O(d1) = 261314162 Dl.O(d2) = 21411432,16470676,11475941,7632917,4829007,4829006,7632916,11475937,9129583,9000522,9000525,7841191,7841193,9129551,13358547,17730714,12544251,12544250,17730712,24088064,22827121,267973414,35129335,35129334,37645232,29096244,21798784,15739086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7011789, s2 = 13270204, dlinesl.size( ) = 20 s1 = 7029741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7029741, s2 = 13995910, int(edited[s2]) = 0 s1 = 7029741, s2 = 13995910, d1 = 25, d2 = 74 Dl.O(d1) = 261605454 Dl.O(d2) = 239047602,274767726,274809848,239047600,239636597,240182011,240685820,241152146,241583774,241152144,240685819,240685818,241152143,241152147,240685822,240182013,239636599,239636598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7029741, s2 = 13995910, dlinesl.size( ) = 42 s1 = 7151936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15748685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7005443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7005443, s2 = 9342823, int(edited[s2]) = 0 s1 = 7005443, s2 = 9342823, d1 = 15, d2 = 31 Dl.O(d1) = 261237848 Dl.O(d2) = 13954699,254456326,19495951,26205739,34061282,268309768,256165214,79044339,93163727,93163724,93163725,99630983,85681799,72095226,59361865,47971258,38058920,255056874,38593848,30021213,26946584,20237540,20237541,24816993,32453442,29495841,28385887,22092743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7005443, s2 = 9342823, dlinesl.size( ) = 18 s1 = 14757323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16323152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16323152, s2 = 11420538, int(edited[s2]) = 0 s1 = 16323152, s2 = 11420538, d1 = 9, d2 = 6 Dl.O(d1) = 219982527,216761659,212875365,208122848,202359288,195503867,187487924,262842851,156250302,143723514,130397509,116557392,102458089,88454217,74820773,62023991,50532069,40496513,257687589,50532071,62023993,74820774,88454218,271422263,261326485,143723516,156250304,167839507,178277171,187487925,195503869,202359289,208122851,211260842,206238420,200164637,263844503,184586250,174984015,164166883,152282391,139551508,126176298,112315603,98332646,84423209,70865836,58151799,46784250,36906527,28409231,21187871,15225371,10502279,6925140,6925139,10502276 Dl.O(d2) = 192971335,264168271,206238416,200164634,192971333,192971334,200164635,264457905,215364340,218755000,274197560,264517700,209619435,204207305,197720952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16323152, s2 = 11420538, dlinesl.size( ) = 2 s1 = 16323152, s2 = 11420538, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16323152, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 6973795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14987689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8805638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8805638, s2 = 11326596, int(edited[s2]) = 0 s1 = 8805638, s2 = 11326596, d1 = 106, d2 = 184 Dl.O(d1) = 274094638 Dl.O(d2) = 265096744,273790524,197385722,189711349,189711350,197385723,203922359,265162843,215328089,211212525,206183992,206183994,211212529,211212522,211212521,215328086,265162841,220649079,217590611,217590600,217590601,264876482,224052118,221591802,218725839,215328089,211212525,206183992,206183994,211212529,211212522,211212521,215328086,265162841,220649079,217590611,213925989,213925988,217590609,220649077,220649066,217590598,217590597,265096742,221591800,218725834,215328083,215328084,265162839,220649079,217590611,213925989,213925988,217590609,220649077,220649066,217590598,217590597,265096742,221591800,218725834,215328083,274081662,200097792,192885983,184486196,174875000,164057462,262133940 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16056321, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8421457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8421457, s2 = 7928761, int(edited[s2]) = 0 s1 = 8421457, s2 = 7928761, d1 = 103, d2 = 85 Dl.O(d1) = 258063230,259314574,131410375,144631458,157027820,168473996,178779760,263105208 Dl.O(d2) = 41700693,32784212,25086416,18541842,13174819,8980922,5863436,5863437,8980915,13174810,10954078,10954075,15807824,10954054,9593271,9593273,13970514,19516666,15850209,15850205,256368773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8421457, s2 = 7928761, dlinesl.size( ) = 44 s1 = 14167887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7216834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7718827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7718827, s2 = 8555000, int(edited[s2]) = 0 s1 = 7718827, s2 = 8555000, d1 = 7, d2 = 7 Dl.O(d1) = 273606633,179268949,168982102,168982103,179268950,188320481,179268954,168982107,157518528,145083878,131824682,131824681,145083877,157518525,168982103,179268950,188320481,179268954,168982107,157518528,145083878,131824682,117996834,260208583,89747574,258966143,257727599,41124487,32311375,24697834,18228295,12929207,8795466,8795467,8943527,5838185,5729082,5729084,8795347,8392598,5416002,5416005,8392612,12417030,17591386,23934225,31424848 Dl.O(d2) = 273606633,179268949,168982102,168982103,179268950,188320481,179268954,168982107,157518528,145083878,131824682,131824681,145083877,157518525,168982103,179268950,188320481,179268954,168982107,157518528,145083878,131824682,117996834,260208583,89747574,258966143,257727599,41124487,32311375,24697834,18228295,12929207,8795466,8795467,8943527,5838185,5729082,5729084,8795347,8392598,5416002,5416005,8392612,12417030,17591386,23934225,31424848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7718827, s2 = 8555000, dlinesl.size( ) = 2 s1 = 7718827, s2 = 8555000, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7718827, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 8554601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4925101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4925101, s2 = 1039684, int(edited[s2]) = 0 s1 = 4925101, s2 = 1039684, d1 = 17, d2 = 26 Dl.O(d1) = 202992358 Dl.O(d2) = 1372165,1378369,1378371,2381616,3974914,6336642,9639312,14022474,19574342,26296818,34164571,41157981,254459892,24727418,32343204,41157982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4925101, s2 = 1039684, dlinesl.size( ) = 18 s1 = 10228350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10228350, s2 = 10356116, int(edited[s2]) = 0 s1 = 10228350, s2 = 10356116, d1 = 25, d2 = 4 Dl.O(d1) = 203041530,203041531,208675962,263112854,196315668,203041519,208675961,203041529,196315691,188450573,179419895,261122188,145302830,132067568,132067570,145302833,157712197,169153209,179419904,188450580,261672460 Dl.O(d2) = 183368908,262578417,262578418,260401706,129137797,258532192,73511033,60761871,53213510,42763668,33733704,25926724,25926725,33733706,42763672,53213515,64146856,52294603,41953732,33011464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10228350, s2 = 10356116, dlinesl.size( ) = 24 s1 = 16196875, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7160385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4928597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4810625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4810625, s2 = 6007305, int(edited[s2]) = 0 s1 = 4810625, s2 = 6007305, d1 = 9, d2 = 41 Dl.O(d1) = 197072353 Dl.O(d2) = 266623774,239568081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4810625, s2 = 6007305, dlinesl.size( ) = 2 s1 = 4810625, s2 = 6007305, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4810625, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 9038718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9038718, s2 = 12892935, int(edited[s2]) = 0 s1 = 9038718, s2 = 12892935, d1 = 55, d2 = 52 Dl.O(d1) = 170531216,261960140 Dl.O(d2) = 171367436,181389632,181389633,261552754,181389635,181389634,181389635,171367439,171367440,260989672,171367431,181389629,190192393,197793044,204269190 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4814121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4334293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4814299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4814299, s2 = 5044947, int(edited[s2]) = 0 s1 = 4814299, s2 = 5044947, d1 = 0, d2 = 9 Dl.O(d1) = 197297972,263740926 Dl.O(d2) = 209328517,213818132,217501686,220573975,223186962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4814299, s2 = 5044947, dlinesl.size( ) = 2 s1 = 4814299, s2 = 5044947, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4814299, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 4934722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7230448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14743978, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4687676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4687676, s2 = 4405813, int(edited[s2]) = 0 s1 = 4687676, s2 = 4405813, d1 = 4, d2 = 2 Dl.O(d1) = 189891018,273791685,204062458 Dl.O(d2) = 173199065 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16097733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16229534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7663994, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7713937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7713937, s2 = 7531255, int(edited[s2]) = 0 s1 = 7713937, s2 = 7531255, d1 = 50, d2 = 49 Dl.O(d1) = 273480316 Dl.O(d2) = 267544401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7713937, s2 = 7531255, dlinesl.size( ) = 22 s1 = 6936127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6936127, s2 = 8821746, int(edited[s2]) = 0 s1 = 6936127, s2 = 8821746, d1 = 20, d2 = 24 Dl.O(d1) = 260313063,134781943,262500501,263369457 Dl.O(d2) = 264888221,220785791,223372319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6936127, s2 = 8821746, dlinesl.size( ) = 26 s1 = 4883823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4945457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4945457, s2 = 6655869, int(edited[s2]) = 0 s1 = 4945457, s2 = 6655869, d1 = 40, d2 = 73 Dl.O(d1) = 204337386 Dl.O(d2) = 86207246,100169706,113129969,113129968,99139342,85216464,85216465,85216462,71650637,71650636,58928622,257000698,29089587,21791667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4945457, s2 = 6655869, dlinesl.size( ) = 2 s1 = 4945457, s2 = 6655869, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4945457, Dl.E( ) = 76, 5.29e-05 seconds used appending s1 = 4030479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4030479, s2 = 7949766, int(edited[s2]) = 0 s1 = 4030479, s2 = 7949766, d1 = 88, d2 = 0 Dl.O(d1) = 148904461,263397653 Dl.O(d2) = 42637338,33611620,25812683,19164012,255215184,9371570,6615715,6615711,10070770,9531287,6252425,3914274,2343273,1357423,773866,439439,439434,773889,1357503,2343458,3914800,6253083,3914582,3914580,6253079,6252040,6252039,9530662,13889697,254435542,254200664,6005736,3755939,2249485,1305013,744696,744697,1305018,2249500,3545206,3545201,5697760,8751356,12868360,9713626,9713629,13837850,9713654,9713659,14118689,9714079,9714083,14119496,19692386,25430496,18836428,13420577,13420576,13420577,9175900,6005715,3755927,2249480,1305013,744696,744692,1304998,2249442,3755827,6005491,9175495,13419845,18835194,23094263,16838995,16838994,18883701,13456936,13325440,9104754,5957468,3725694,3725696,5957479,9104772,13325479,18719513,19862584,18836430,13420579,9175901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4030479, s2 = 7949766, dlinesl.size( ) = 20 s1 = 15762471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7714060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7714060, s2 = 15762472, int(edited[s2]) = 0 s1 = 7714060, s2 = 15762472, d1 = 42, d2 = 65 Dl.O(d1) = 273486100 Dl.O(d2) = 155996956,167606891,178070261,262830262,197540252,189885975,181008913,170890240,159562238,147203029,133980221,120138377,105926164,91718394,77790332,257801475,42319671,33339225,25579962,18971849,13536663,13536664,18971851,25579963,33339226,42319672,52706809,46838541,36959427,28459114,21233647,21107248,18962154,13526443,9257414,9257415,12066805,17163104,21472589,15469969,15469968,15274370,10540912,9263392,6067292,3796162,2273855,1318588,752244,427293,241186,133388,72616,39433,39432,72612,133373,241150,427199,752026,1317675,2272088,2622125,4377871,6067372,6058534,3790810,3790812,4369558,6954293,9246623,9246689,10557586,10557585,12388625,13523499,18959501,21270004,25572952,18963993,13528425,9259125,9259123,13528420,17559492,17156400,12388626,8371713,5402961,5402960,8371711,6886017,6886015,10445688,10732936,7091411,7091413,10732942,15518860,21533074,28799082,22222530,22222529,29569051,38135263,31188017,30683220,30683222,33098166,42046356,49043995,49125187,39197648,39197651,42250409,42250408,50905935,50905933,42148399,42148398,34045726,34045721,34045723,43121172,49047822,39197891,39197892,34100786,26237464,26237465,34100792,43186314,47878135,37960249,29395753,29395754,37960255,39870532,39870533,39118416,36788819,31187977,28799010,28799011,37336759,37336852,30519505,30519506,39116981,30519496,30519494,39116975,39117098,49046737,49046969,49045899,49045900,60449500,49125203,39197658,30601107,30601106,38358542,48268940,39117050,39117052,34045736,26191627,19482650,13942139,9569406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7714060, s2 = 15762472, dlinesl.size( ) = 2 s1 = 7714060, s2 = 15762472, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7714060, Dl.E( ) = 66, 1.62e-05 seconds used appending s1 = 14197397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11415270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15667393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15667393, s2 = 9073097, int(edited[s2]) = 0 s1 = 15667393, s2 = 9073097, d1 = 8, d2 = 31 Dl.O(d1) = 113989937 Dl.O(d2) = 26933130,35014755,38058444,38058445,38049963,30021125,22648332,16457201,11466578,11466579,16457204,16483393,16483394,22681487,26930018,26930017,28443370,28443371,255425936,254747722,20066263,20066261,21167549,21167551,25233188,21783304,21605019,21605016,15985378,11097291,7359638,7359633,11097264,15758420,15757397,10912672,10912673,15757399,21824699,23615798,17302678,12180629,8212458,5283631,5283629,267994509,12180622,255548583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15667393, s2 = 9073097, dlinesl.size( ) = 8 s1 = 4710717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4710717, s2 = 13679885, int(edited[s2]) = 0 s1 = 4710717, s2 = 13679885, d1 = 29, d2 = 32 Dl.O(d1) = 191931909,199298248,273879054,264130047 Dl.O(d2) = 185411666,260670954,258831238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4710717, s2 = 13679885, dlinesl.size( ) = 24 s1 = 16217631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16217631, s2 = 11463117, int(edited[s2]) = 0 s1 = 16217631, s2 = 11463117, d1 = 6, d2 = 2 Dl.O(d1) = 255748255,27048674,35134378,44511334,55358037,67697952,81163754,95220314,109474271,123666159,137396976,150436303,162564487,173594479,183388308,183388309,191950140 Dl.O(d2) = 205547398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16217631, s2 = 11463117, dlinesl.size( ) = 2 s1 = 16217631, s2 = 11463117, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16217631, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 4960041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4960041, s2 = 14135034, int(edited[s2]) = 0 s1 = 4960041, s2 = 14135034, d1 = 43, d2 = 95 Dl.O(d1) = 205570005 Dl.O(d2) = 74149754,61369481,49888816,39866562,31184039,23694203,17371828,12241584,8267032,5334050,5334048,5331935,5331934,3297982,1939667,1107956,1107958,1939675,3298004,4586109,4586105,7272177,10986185,12239987,8307145,267844073,3274358,1925949,1106858,621085,345140,345139,621081,1106853,1937761,3294745,5331763,3277260,3277259,5331758,5334316,8262243,5366435,3299115,1940375,1940380,3299131,5366458,5336062,5336059,8269590,12238300,8263929,5331723,3277242,3277245,4708876,7452874,11231480,16164371,21066505,21066506,15553433,12310284,8314832,5365143,5365142,254842309,268109419,12244277,15553362,10757364,10757363,255168237,16168695,11236361,7457384,4712147,2838710,1646740,1646739,267830153,7107103,8288997,8287973,8011882,8011883,11968301,8289605,7107440,4474716,4474718,7107452,8011891,8288117,5346698,5346700,8288125,12273332,11236453,11236456,8288796,8288798,11237946,7458770,4713134,3762981,2838909,2838906,2838882,1646823,1646827,2838897,2837680,1646147,936051,527508,527510,935978,1645543,935949,935950,1645988,2836629,2836764,4709028,7453103,5534010,5534009,7452364,11230889,9188980,6014662,6014664,7455137,11233978,12533026,16163982,12614208,8562387,5559476,5559477,8562395,8996820,9188245,6013791,3761220,3761222,6013800,9188265,11233583,11233580,11822413,11587581,7713127,4881704,4881707,5488443,3379181,1989429,1989430,3379190,2255301,1308964,1308963,2255292,3764164,4708908,4708910,7452449,4708591,4708592,7452452,11230991,11231452,15553867,10757870,254612685,254612683,12573306,12573305,17767397,17900652,17900653,12681018,12681019,17901189,18862814,13439751,9189268,8538823,5536850,5536851,8538827,5595014,5595015,8609306,12238547,8264174,8264173,8549931,8559216,255198191,11232167,7453495,7453493,8564111,5560768,3445276,2039943,1169048,656129,363762,363763,656135,1169061,2039971,3374820,3374819,4884971,254613387,7453558,4709328,2836928,2836932,4709346,2837754,2837755,4708270,4708272,7451876,5523376,3761310,3439569,2035174,2035173,3439560,3474369,2061171,2061173,3474378,5597913,8612547,267817938,3387548,1995592,1995591,3387546,5497752,6016828,3763825,3763826,6014116,4710640,3432996,2030314,1162684,652439,361804,198046,198047,361810,652457,1162709,1767397,1705713,1705711,1767168,1767170,1142764,1142763,1989368,1136702,640661,355618,194901,106475,106476,194908,355638,640715,1142152,1998119,2050566,1176114,1176113,2050562,3458694,3399650,2004286,1145693,1145695,646474,358733,358732,267756305,1769383,1769384,2023841,1996208,1996210,3388463,5498821,5596513,8610934,8517106,5527563,3413583,2014757,2014756,3413581,5527561,8529507,12576176,17771081,24134793,31641573,257675191,59448207,48056569,38142904,29576195,22228783,268401611,38142901,48056566,59448205,72186373,85780637,99734579,113749070,127617973,272555953,165415837,176098518,185563745,193824025,200906106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4960041, s2 = 14135034, dlinesl.size( ) = 14 s1 = 14114434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10268924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14664390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8745464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7018216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7018216, s2 = 5954682, int(edited[s2]) = 0 s1 = 7018216, s2 = 5954682, d1 = 45, d2 = 50 Dl.O(d1) = 261423222,262459518 Dl.O(d2) = 241552603,241116907,240646955,240139761,239592638,239001190,238358551,237653351,236876982,236022980,274672673,231663303,230269912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7018216, s2 = 5954682, dlinesl.size( ) = 2 s1 = 7018216, s2 = 5954682, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7018216, Dl.E( ) = 80, 3.6e-05 seconds used appending s1 = 15026808, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4966007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4966007, s2 = 6527040, int(edited[s2]) = 0 s1 = 4966007, s2 = 6527040, d1 = 29, d2 = 32 Dl.O(d1) = 205866090 Dl.O(d2) = 255590378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4966007, s2 = 6527040, dlinesl.size( ) = 30 s1 = 16338395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16338395, s2 = 11573482, int(edited[s2]) = 0 s1 = 16338395, s2 = 11573482, d1 = 14, d2 = 27 Dl.O(d1) = 83931649,70405371,70405370,70405386,57711348,46362068,36503938,28040528,20872498,255000267,6774728,6774729,10302585,14970349,268371573,36503939,46362069,57711350,70405388,83931662,97790741,111713560,125520942,261604015,262613125,174287891 Dl.O(d2) = 229591604,229591594,229591593,229591594,227951593,265830361,266087903,233539569,234614705,235593922,235544181,234560623,266196486,230973535,229503745,227849315,265514982,221315568,264928042,210737741,205586060,205586061,210737742,214945733,262709304,193873094,185616633,176155406,165476808,165476807,259990306,185616636,193873095,200951573,262709306,215885160,219217662,222029870,264757078,229973342,231397196,232673242,274666291,236700892,237493757,238213037,266592262,236673114,266509348,233791650,232636107,274632257,234842975,266511843,236673116,266509350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16338395, s2 = 11573482, dlinesl.size( ) = 16 s1 = 15022595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16215442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13519235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7684347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7684347, s2 = 14134477, int(edited[s2]) = 0 s1 = 7684347, s2 = 14134477, d1 = 29, d2 = 27 Dl.O(d1) = 272511972,174961232,263059294,200148587,206223878,211247436,210662692,205503990,205503989,199268140,191897793,183329768,173529585,173529586,183329771,191897798,199268146,205504017,210662695,263892758,183329760,191897784,263536886,191897780,191897779,262704672,173529582,162492513,150359651,261161452,173529584,262704674,199268133,205504010,210662704,214877023,214877041,214877043,211247441,264442364,210662721,210662722,211247446,211247448,264703582,214877007,263892754,205503986,210662691,210662688,205503985,205503983,205503997,205503999,210662694,205503993,199268126,191897783,183329759,262704670,199268121,199268123,262704672,173529582,162492513,150359651,261161452,173529584,262704674,199268133,205504010 Dl.O(d2) = 183329772,173529587,261161454,261161458,173529591,183329779,191897815,199268169,205504031,263892768,214877012,214877010,218344507,218344505,214877007,263892754,205503986,210662691,210662688,205503985,205503984,210662685,210662692,205503990,205503989,263892764,214877027,210662724,205504042,263892770,214877044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 4433950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4433950, s2 = 11541340, int(edited[s2]) = 0 s1 = 4433950, s2 = 11541340, d1 = 27, d2 = 25 Dl.O(d1) = 174986426,263484079 Dl.O(d2) = 224079097,224079096,265414248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4433950, s2 = 11541340, dlinesl.size( ) = 28 s1 = 7708490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7708490, s2 = 7521077, int(edited[s2]) = 0 s1 = 7708490, s2 = 7521077, d1 = 67, d2 = 57 Dl.O(d1) = 273326245,200168596 Dl.O(d2) = 267450404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7708490, s2 = 7521077, dlinesl.size( ) = 80 s1 = 4858435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4859048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4859048, s2 = 7548830, int(edited[s2]) = 0 s1 = 4859048, s2 = 7548830, d1 = 102, d2 = 89 Dl.O(d1) = 263090851,193058433,200240065,206305629,211320686 Dl.O(d2) = 247800677,247794206,267694741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4859048, s2 = 7548830, dlinesl.size( ) = 18 s1 = 4976893, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11450348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4977513, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7295619, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6569206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6569206, s2 = 13286525, int(edited[s2]) = 0 s1 = 6569206, s2 = 13286525, d1 = 15, d2 = 22 Dl.O(d1) = 256065768,269027134,126480377,272834103,261896048 Dl.O(d2) = 259719901,107344241,92939737,78833226,65501582,65501581,78833228,92939723,258459369,53479177,53479178,65501579,78833224,92939735,92939727,78833222,78833215,65501574,53479174,43002259,33946405,33946406,257842347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 7220050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14759004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16214387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4864642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4866628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4881189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4881189, s2 = 7715837, int(edited[s2]) = 0 s1 = 4881189, s2 = 7715837, d1 = 7, d2 = 7 Dl.O(d1) = 200965826,200465857,273532977 Dl.O(d2) = 200965826,200465857,273532977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4881189, s2 = 7715837, dlinesl.size( ) = 2 s1 = 4881189, s2 = 7715837, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4881189, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 10247677, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10301152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10301152, s2 = 8574289, int(edited[s2]) = 0 s1 = 10301152, s2 = 8574289, d1 = 17, d2 = 0 Dl.O(d1) = 231269241,274461711,264970761,274639830,274663587,274630243,274475276,218973617,264737673 Dl.O(d2) = 193351276,263114559,164727101,152895452,140204613,126857222,113004351,261124657,262192037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10301152, s2 = 8574289, dlinesl.size( ) = 18 s1 = 7101214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7101214, s2 = 2515274, int(edited[s2]) = 0 s1 = 7101214, s2 = 2515274, d1 = 9, d2 = 12 Dl.O(d1) = 262591485,273503219 Dl.O(d2) = 126887169,140235402,260053726,99045417,85120505,71549628,58821605,58821604,259329985,260549287,113033989,99045408,99045407,113033987,99045408,99045409,85120500,85120498,99045409,85120500,85120501,99045413,85120503,71549627,58821605,47435259,255956998,21701023,15660668,15660669,255854713,28983696,37527747,47435261,58821610,71549632,85120510,88543232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7101214, s2 = 2515274, dlinesl.size( ) = 2 s1 = 7101214, s2 = 2515274, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7101214, Dl.E( ) = 24, 1.29e-05 seconds used appending s1 = 6918007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6918007, s2 = 5090888, int(edited[s2]) = 0 s1 = 6918007, s2 = 5090888, d1 = 5, d2 = 4 Dl.O(d1) = 260072544,261246514,200606182 Dl.O(d2) = 215654488,263948066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6918007, s2 = 5090888, dlinesl.size( ) = 12 s1 = 7201535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7201535, s2 = 14138758, int(edited[s2]) = 0 s1 = 7201535, s2 = 14138758, d1 = 7, d2 = 10 Dl.O(d1) = 263931510 Dl.O(d2) = 221863651,224297730,274511687,274200320,263931506,215668481,264782598,273999886,206639054,200625249,264483869,215668488,219027243,215668484,263931508,206639052,264246300,264782602,224297725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7201535, s2 = 14138758, dlinesl.size( ) = 2 s1 = 7201535, s2 = 14138758, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7201535, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 14127928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8702235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16109085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4880505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4885161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7097011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13758359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16231161, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4887901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10248563, s2 = 5004976, int(edited[s2]) = 0 s1 = 10248563, s2 = 5004976, d1 = 27, d2 = 3 Dl.O(d1) = 260039337,261762559,166065535,176701619,186114380 Dl.O(d2) = 207258475,264779417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10248563, s2 = 5004976, dlinesl.size( ) = 28 s1 = 15717365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15717365, s2 = 4891553, int(edited[s2]) = 0 s1 = 15717365, s2 = 4891553, d1 = 0, d2 = 0 Dl.O(d1) = 15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,12483855,12483858,17654729,23249661,28942651,28942650,37484426,47391936,52342006,47831600,37909834,29340849,22009067,15907657,15907656,22009061,24612913,18164095,12881822,12881823,18164099,15907630,11028946,7303298,4607745,2773650,1608814,1608815,2773655,4607759,7303320,6562937,6562939,9985259,14511265,20222586,18945246,18945247,268403972,28465285,21242786,21242787,28465287,36964414,46843275,58211349,70928586,84492841,98414523,112403685,126266625,116182352,102125030,88137688,74525816,61744105,50265805,40246150,40246149,50265804,61744103,74525814,88137686,257035964,130089733,143417647,155955908,167566823,178033809,187276829,195323483,202204717,262789694,212760258,216132290,212149945,207275278,201363580,194338517,186136495,176724844,261733282,141686837,128337332,128337331,128337335,114460430,100435897,86478740,72883457,60147026,48752728,48752729,60147027,49419651,39489766,30883575,23791965,23791963,23791964,31277760,32142128,24559916,254468192,254213726,4528743,2722340,1577572,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,3457818,5574094,7663743,5574246,5574249,8579129,12635503,254359348,19652451,19654240,14087781,9689928,9689930,14087783,14088025,19654588,26388962,29456486,31608940,26388669,23461725,23461724,255119956,255946356,53888885,65955663,79319595,93450922 Dl.O(d2) = 15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861815,23360009,17091307,12483855,12483858,17654729,23249661,28942651,28942650,37484426,47391936,52342006,47831600,37909834,29340849,22009067,15907657,15907656,22009061,24612913,18164095,12881822,12881823,18164099,15907630,11028946,7303298,4607745,2773650,1608814,1608815,2773655,4607759,7303320,6562937,6562939,9985259,14511265,20222586,18945246,18945247,268403972,28465285,21242786,21242787,28465287,36964414,46843275,58211349,70928586,84492841,98414523,112403685,126266625,116182352,102125030,88137688,74525816,61744105,50265805,40246150,40246149,50265804,61744103,74525814,88137686,257035964,130089733,143417647,155955908,167566823,178033809,187276829,195323483,202204717,262789694,212760258,216132290,212149945,207275278,201363580,194338517,186136495,176724844,261733282,141686837,128337332,128337331,128337335,114460430,100435897,86478740,72883457,60147026,48752728,48752729,60147027,49419651,39489766,30883575,23791965,23791963,23791964,31277760,32142128,24559916,254468192,254213726,4528743,2722340,1577572,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,3457818,5574094,7663743,5574246,5574249,8579129,12635503,254359348,19652451,19654240,14087781,9689928,9689930,14087783,14088025,19654588,26388962,29456486,31608940,26388669,23461725,23461724,255119956,255946356,53888885,65955663,79319595,93450922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15717365, s2 = 4891553, dlinesl.size( ) = 2 s1 = 15717365, s2 = 4891553, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15717365, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15002154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4892048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4892048, s2 = 7775330, int(edited[s2]) = 0 s1 = 4892048, s2 = 7775330, d1 = 1, d2 = 10 Dl.O(d1) = 201375350 Dl.O(d2) = 274768322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4892048, s2 = 7775330, dlinesl.size( ) = 20 s1 = 5006743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4893466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5292686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5292686, s2 = 12898021, int(edited[s2]) = 0 s1 = 5292686, s2 = 12898021, d1 = 20, d2 = 32 Dl.O(d1) = 219527666,216242904,264536239 Dl.O(d2) = 238298754,237585867,266676499,238947362,266742794,237585867,266525168,235938612,236801078,237585868,238298755,238947364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5292686, s2 = 12898021, dlinesl.size( ) = 20 s1 = 4264843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4264843, s2 = 10333122, int(edited[s2]) = 0 s1 = 4264843, s2 = 10333122, d1 = 43, d2 = 92 Dl.O(d1) = 164197868,273326747 Dl.O(d2) = 100273425,256333838,72715063,86311953,100273429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4264843, s2 = 10333122, dlinesl.size( ) = 90 s1 = 7220896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7220896, s2 = 9676430, int(edited[s2]) = 0 s1 = 7220896, s2 = 9676430, d1 = 35, d2 = 23 Dl.O(d1) = 264186938,201577569,194595090,273370911,154800660,142166524,128811826,114914648,100864214 Dl.O(d2) = 263108270,262329278,167165545,155532555,263616663,201950664,264186936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7220896, s2 = 9676430, dlinesl.size( ) = 16 s1 = 7175764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7175764, s2 = 8792227, int(edited[s2]) = 0 s1 = 7175764, s2 = 8792227, d1 = 6, d2 = 2 Dl.O(d1) = 263592937 Dl.O(d2) = 207457631,207457633,212303405,216262601,264672886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7175764, s2 = 8792227, dlinesl.size( ) = 2 s1 = 7175764, s2 = 8792227, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7175764, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4899280, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16326151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13717727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14983701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14983701, s2 = 8384222, int(edited[s2]) = 0 s1 = 14983701, s2 = 8384222, d1 = 48, d2 = 32 Dl.O(d1) = 273489099,262550154,261521686 Dl.O(d2) = 260358354,258479652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14983701, s2 = 8384222, dlinesl.size( ) = 42 s1 = 16098777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7717776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8713254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8713254, s2 = 9472383, int(edited[s2]) = 0 s1 = 8713254, s2 = 9472383, d1 = 25, d2 = 19 Dl.O(d1) = 264330148,264558141,207785111,264330144,201967043,195050474,263967361,207785113,263684378 Dl.O(d2) = 261924368,260817876,115788605,101742989,260110669,272258867 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8775383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8775383, s2 = 14123978, int(edited[s2]) = 0 s1 = 8775383, s2 = 14123978, d1 = 2, d2 = 19 Dl.O(d1) = 141269865,127909172,270356378,86039882,72441844,72441843,86039880,100002187,260612183,141269858,141269863,261248416,165714791,176378395,185818084,194051063,201106200,207051527,211957429,215965156,216521409,212604338,264279625 Dl.O(d2) = 74184285,257641397,256512137,23744733,17419610,12277653,12277652,17419609,15205111,15204982,10487819,10487821,15204985,16495917,13896048,12914818,12914817,18208507,24672270,29685099,22333132,16186250,11251175,11251172,16186243,22333120,29685091,36875329,268378433,17148480,12052069,12052068,17148478,23426194,30291602,30291601,28378898,22243117,16106576,11187676,11187678,15204696,15204695,21161060,28378473,28383409,28383410,32280800,24672274,18208510,12914819,10487877,6915093,6915092,10487873,15205082,10490956,6917753,6917752,10490953,15208671,21165565,24672297,21165578,21165577,22243087,25233456,18664592,13272966,9057894,5922091,5922092,9057896,12986586,8840811,8840813,12986574,18295878,24775680,32399062,37544007,28998715,21713782,16106569,11187673,7423232,4690906,4690904,7423225,11187658,16106543,22243068,24274781,17894727,17894728,268450619,31788101,40483119,50518772,62010847,74807680,88440210,102442018,116538834,130377108,143703182,156232157,167825050,178266214,183345229,173548264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8775383, s2 = 14123978, dlinesl.size( ) = 14 s1 = 14723353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14723353, s2 = 8810613, int(edited[s2]) = 0 s1 = 14723353, s2 = 8810613, d1 = 22, d2 = 16 Dl.O(d1) = 76665045,63579171,51793589,41516259,32631108,32631106,32631107,27266904,26227265,26227266,33830875,42872022,53333209,65330742,78627283,92681524,107013724,121305992,115850670,101804311,87830225,74225222,61445570,49967633,39950864,31275926,23790195,22203120,16073581,11161647,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,5364237,8313461,12308323,17459406,23790960,268678695,49968404,61446252,74225778,87830783,101804849,115851209,129750724,272601777,167259385,263236823,187026278,195105968 Dl.O(d2) = 274217398,265059480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14723353, s2 = 8810613, dlinesl.size( ) = 18 s1 = 11527858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15058219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14205091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14205091, s2 = 13879834, int(edited[s2]) = 0 s1 = 14205091, s2 = 13879834, d1 = 123, d2 = 103 Dl.O(d1) = 261753916,115015673,100961275,86976939,73365605,60621160,49220676,39294046,30696488,30696487,39294044,40077933,256020667,17559238,12388389,12388388,17559237,23903583,31396760,40077932,50098653,61578595,74355356,87957629,101930455,115974991,129872655,262816347,187152671,187152670,195222836,202121467,207919689,212698127,216604229,216604238,219842419,222575255,219842418,216604237,265247379,219842404,265063758,213033810,208318237 Dl.O(d2) = 237674943,266684883,239019433,239609333,239184215,238551951,237861880,237103230,236272130,235361420,234362766,233265213,232053322,230708209,230708210,229198798,227490850,225537176,223291148,220692677,217638104,213977643,209518340,204083330,273928899,264648604,263357925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14205091, s2 = 13879834, dlinesl.size( ) = 60 s1 = 7119011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7119011, s2 = 11660685, int(edited[s2]) = 0 s1 = 7119011, s2 = 11660685, d1 = 9, d2 = 12 Dl.O(d1) = 262813278,261834058 Dl.O(d2) = 263241506,207955276,212728892,216632075,219867827,264564452,209040700,203490820,196863684,196863685,196863683,189119497,180177411,263327097,170011093,170011094,170011090,158652734,146284489,133056964,119226784,105034187,90855157,76976694,76976693,63865252,52045790,41730935,32810399,32810400,257173935,257763093,76976697,90855161,260248197,133056978,146284511,158652754,170011118,180177434,189119514,196863702,203490830,209040711,213596050,217326832,273852480,273852319,193196639,184850894,184850893,193196639,184850894,175292885,164522588,152678652,152678653,164522591,152678673,139980633,139980632,152678671,272533884,184850902,184850901,273103226,175292900,164522607,164522606,262181050,193196638,184850887,175292879,164522582,152678648,152678649,261662958,164522597,152678656,139980623,126626998,126626997,139980621,152678653,164522591,152678673,152678672,164522602,260534426,126627002,259933292,126627004,112771956,98782419,84856099,84856098,98782418,112771954,259933292,126627004,112771956,112771955,126627003,260534428,164522605,164522599,152678657,139980624,259313854,98782417,98782418,112771953,126627001,139980625,260534430,126627005,112771957,98782420,84856099,71282618,71282619,84856100,98782422,112771961,126627011,126626996,258687072,98782416,259313852,139980614,152678645,261112376,112771959,98782421,98782422,112771961,126627011,126626996,258687072,258687070,126626994,139980617,152678646,164522580,261662964,164522610,175292902,262663226,184850886,193196637,184850896,262181052,175292901,175292894,164522598,152678657,152678658,164522601,175292896,164522604,164522605,164522609,152678660,152678661,164522610,175292902,184850899,175292905,164522612,152678665,152678662,139980627,139980628,152678664,164522611,175292904,184850900,193196644,200359704,206410722,211415523,215506514,218886928,264965242,264965240,218886927,218886928,221740744,273980286,211415528,206410725,200359705,193196645,184850904,175292909,262181054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7119011, s2 = 11660685, dlinesl.size( ) = 14 s1 = 7205710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11445434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15943343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15943343, s2 = 5024355, int(edited[s2]) = 0 s1 = 15943343, s2 = 5024355, d1 = 0, d2 = 0 Dl.O(d1) = 15591601,13417044,9173631,9173632,13417046,268296249,25424771,33167410,42123773,52478857,258401485,91444613,105668024,119904065,119904064,119904063,133772930,147021087,272985719,159401869,170749365,170749366,180888368,189781816,187244783,177997022,167525772,155911130,143368497,130036231,116126277,102067955,88081419,74468917,61685646,50202411,40178789,31493338,23995787,23995785,23995786,31493336,40178788,50202409,61685644,74468916,88081417,102067953,260731593,143368495,155911129,167525770,177997021,187244782,195296099,202180211,207968205,212740648,216643152,219878232,222608504,265079369,264612147,203354528,196707778,188942443,179979778,169795326,158424939,146052169,132825157,118996455,104806430,90635886,76769857,76769856,90635883,76769854,63676170,271036366,32687215,25007537,18480541,18480542,24998577,32676058,41571489,268646382,255489936,20980764,15068684,10391995,10391994,15068682,20980758,256286837,268906751,57858297,258639153,260486693,260486691,111906654,272166953,139062610,151764560,163639808,174475762,184124290,192574517,199845897,205992573,274082605,218649254,218461198,215005742,210804331,205660782,199443884,192098158,183564559,173811330,162837847,150784323,137843363,124208139,110087078,95873728,81813109,68287982,258559987,95873730,110087077,95873725,95873726,261015769,110087069 Dl.O(d2) = 15591601,13417044,9173631,9173632,13417046,268296249,25424771,33167410,42123773,52478857,258401485,91444613,105668024,119904065,119904064,119904063,133772930,147021087,272985719,159401869,170749365,170749366,180888368,189781816,187244783,177997022,167525772,155911130,143368497,130036231,116126277,102067955,88081419,74468917,61685646,50202411,40178789,31493338,23995787,23995785,23995786,31493336,40178788,50202409,61685644,74468916,88081417,102067953,260731593,143368495,155911129,167525770,177997021,187244782,195296099,202180211,207968205,212740648,216643152,219878232,222608504,265079369,264612147,203354528,196707778,188942443,179979778,169795326,158424939,146052169,132825157,118996455,104806430,90635886,76769857,76769856,90635883,76769854,63676170,271036366,32687215,25007537,18480541,18480542,24998577,32676058,41571489,268646382,255489936,20980764,15068684,10391995,10391994,15068682,20980758,256286837,268906751,57858297,258639153,260486693,260486691,111906654,272166953,139062610,151764560,163639808,174475762,184124290,192574517,199845897,205992573,274082605,218649254,218461198,215005742,210804331,205660782,199443884,192098158,183564559,173811330,162837847,150784323,137843363,124208139,110087078,95873728,81813109,68287982,258559987,95873730,110087077,95873725,95873726,261015769,110087069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15943343, s2 = 5024355, dlinesl.size( ) = 2 s1 = 15943343, s2 = 5024355, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15943343, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10262042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5382394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14776041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13832027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16366314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16366314, s2 = 4349915, int(edited[s2]) = 0 s1 = 16366314, s2 = 4349915, d1 = 32, d2 = 11 Dl.O(d1) = 259245221,70326711,70326712,83852050 Dl.O(d2) = 88316197,260148519,130239667,143566934,262364299,167706189,178163035,187391413,264576813,216714226,264499510,199327515,191962424 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6976367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9243917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9243917, s2 = 203634, int(edited[s2]) = 0 s1 = 9243917, s2 = 203634, d1 = 11, d2 = 13 Dl.O(d1) = 143671622,156201006,167796246,178240926,187457872,195478559,202338198,202338197,274261210 Dl.O(d2) = 202338192,264302395,195478557,195478556,202338200,195478557,263264781,178240926,187457871,195478558,264302397,208104974,212859560,216747428,219969419,222688636,265610943,226176455,224040836,221577486,218706045,274084273,199992984,199992985,206109033,211164266,211164265,211164262,206109026,263839375,263839377,206109028,211164264,211164266,206109032,206109030,206109031,211164262,206109026,206109027,199992986,199992987,264453743,192755335,184340364,174724847,262147427,139347542,125997185,112161003,98198337,258647923,58036201,46663586,36778328,28282258,28282259,36778329,46663587,58036202,59985121,48593032,38676539,30099053,22717161,255109281,7655098,267832527,1693344,1693345,2919036,4843745,7655100,11507403,16512527,22717164,30099055,38676543,48593035,59985124,72722639,86320145,100282256,114312668,128195422,140196308,260942224,259728852,71507627,58778338,47391240,256178140,28941871,26899424,20038203,14353879,10887850,7199824,7144053,7144055,7144590,7144588,10811840,7197126,4534272,2725625,1579296,1579294,2725619,4534255,4971739,7832332,9890006,11590983,11590985,9873302,7832370,4971762,4971764,4979861,3008143,1747480,1747481,3008152,4499557,2703713,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4806919,4069237,2434954,2434955,4069240,4063565,2431885,2431886,2728824,4540034,7206077,9883779,6493922,267946709,6504227,6504226,4535906,4535905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9243917, s2 = 203634, dlinesl.size( ) = 12 s1 = 11455776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455776, s2 = 10858722, int(edited[s2]) = 0 s1 = 11455776, s2 = 10858722, d1 = 25, d2 = 15 Dl.O(d1) = 261324239,156222800,167816960,273152476,195491515,202348627,265054625,274114316,212866791,212866790,216753891,219975161,265029072,222693620,225028033,222693619,264802186,212866791,208113483,264829525,265029070,225028032,227055567,228824426,227055572,225028037,222693624,219975165,216753896,264802188,222693620,225028033,222693619,222693618,225028032,227055567,228824426,227055572,225028037,222693624,219975165,216753896,264269980,202348624,195491514,262790836,167816958,167816957,178259425,186043279,194253100,201285637,264521017,216074706,219378719,216753898,212866794,212866795,264802190,219975160,265443513 Dl.O(d2) = 38577597,48490865,51950924,41644789,34628816,26639030,19827128,19827129,21775993,15716746,15716748,21775998,29073940,29074241,21776254,21776253,21776144,15716838,10879977,7193118,4531537,2723951,1578485,897476,897478,1578491,2723964,4531562,7193178,10880075,15717029,21776397,268168602,29074027,21776059,15716787,10879951,10879950,15716782,21776052,15716991,10880057,10880056,15716988,21776353,29074355,37625298,37625004,29074009,29074007,29074330,34628813,26639027,21776241,15716915,15716916,21776245,29074227,29074259,29074260,37625222,47531778,47531602,37624993,256339900,15716775,10879946,7193158,7193157,10880040,10880051,7193174,7193173,10880070,15717015,21776384,29074384,37625290,47531842,47531619,47531620,47531612,37625008,29074011,29074012,29074120,29074121,37625124,37624975,37624976,47531585,58912858,47531829,37625276,29074335,21776334,15716973,15716974,21776338,29074339,29074232,29074231,37625192,37625331,37625330,37625335,37625180,29074224,29074223,29074304,21776306,15716957,15716959,268092246,29074052,21776078,15716794,10879955,10879956,15716798,21776085,29074064,37625073,47531682,268646904,58912915,71633529,85198353,71633653,71633514,71633490,58912866,47531589,37624981,29073991,29073992,37624985,47531594,58912814,47531542,41631869,41631871,51935275,58913049,63745871,51935278,41631876,41631875,38691575,256975611,47531748,37625176,29074300,29074299,29074293,21776300,21776301,29073986,37624967,37625036,29074034,21776066,15716790,15716791,21776072,29074040,37625046,47531649,58912912,71633524,71633526,60328245,60328244,71633531,85198358,85198420,99120953,99120892,99120891,99120875,85198300,71633446,58912812,47531539,37624941,37624939,47531537,58912807,71633441,85198299,86336658,72739592,70713266,255491424,36731895,36731894,46620096,47531659,37625060,37624970,29073987,21776033,15716769,15716770,255861045,37624971,47531576,52678910,52678908,64579127,71633428,58912797,58912798,71633432,71633644,60003087,60003088,71633566,58912953,58912954,70713259,70713260,72720861,85198415,71633641,58913040,58913041,48612019,48612020,58912809,71633444,70418365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455776, s2 = 10858722, dlinesl.size( ) = 2 s1 = 11455776, s2 = 10858722, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11455776, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 7301603, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4921623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5031089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5031089, s2 = 16091038, int(edited[s2]) = 0 s1 = 5031089, s2 = 16091038, d1 = 7, d2 = 6 Dl.O(d1) = 208237502 Dl.O(d2) = 141115083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5031089, s2 = 16091038, dlinesl.size( ) = 2 s1 = 5031089, s2 = 16091038, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5031089, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 16079199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7181444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7181444, s2 = 8841453, int(edited[s2]) = 0 s1 = 7181444, s2 = 8841453, d1 = 10, d2 = 9 Dl.O(d1) = 263663549,202575057,208295952 Dl.O(d2) = 265062284,225094602,265617075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7181444, s2 = 8841453, dlinesl.size( ) = 2 s1 = 7181444, s2 = 8841453, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7181444, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7060742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7254391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7254391, s2 = 5958857, int(edited[s2]) = 0 s1 = 7254391, s2 = 5958857, d1 = 51, d2 = 71 Dl.O(d1) = 264602635 Dl.O(d2) = 238459490,239097556,239683532,240225960,266975817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7254391, s2 = 5958857, dlinesl.size( ) = 22 s1 = 14268377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14268377, s2 = 8755426, int(edited[s2]) = 0 s1 = 14268377, s2 = 8755426, d1 = 6, d2 = 6 Dl.O(d1) = 120649,219687,394089,254143489,2141136,3591225,254631893,8846673,12994505,18306163,24788517,32413555,41238739,51436697,63134530,76140603,89947038,104077286,118237431,132058610,145296775,157708551,169150738,179418126,188449242,196314547,203040551,208675192,208675191,213305090,217094613,217094614,218416430,214955828,210749076,205599066,199373193,192014438,183460104,173674333,260709124,137503856,123779974,109590092,95335218,81276192,67808528,55466814,44617737,35235694,27140170,27140169,35235692,44617738,55466815,67808530,64181657,52331355,52331354,52331359,64181662,77329005,91248756,105471003,112116332,98156802,98156801,98156803,112116334,125950103,139299381,152006584,163875020,174692810,184315335,192734218,199974064,206091891,273742936,215283594,218692832,221564897,224028381,226164229,228023491,229655548,229655549,231104431,232403780,233578829,266142170,266280643,232016613,232016614 Dl.O(d2) = 120649,219687,394089,254143489,2141136,3591225,254631893,8846673,12994505,18306163,24788517,32413555,41238739,51436697,63134530,76140603,89947038,104077286,118237431,132058610,145296775,157708551,169150738,179418126,188449242,196314547,203040551,208675192,208675191,213305090,217094613,217094614,218416430,214955828,210749076,205599066,199373193,192014438,183460104,173674333,260709124,137503856,123779974,109590092,95335218,81276192,67808528,55466814,44617737,35235694,27140170,27140169,35235692,44617738,55466815,67808530,64181657,52331355,52331354,52331359,64181662,77329005,91248756,105471003,112116332,98156802,98156801,98156803,112116334,125950103,139299381,152006584,163875020,174692810,184315335,192734218,199974064,206091891,273742936,215283594,218692832,221564897,224028381,226164229,228023491,229655548,229655549,231104431,232403780,233578829,266142170,266280643,232016613,232016614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14268377, s2 = 8755426, dlinesl.size( ) = 2 s1 = 14268377, s2 = 8755426, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14268377, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 9230594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7258559, s2 = 14306701, int(edited[s2]) = 0 s1 = 7258559, s2 = 14306701, d1 = 124, d2 = 112 Dl.O(d1) = 264661308 Dl.O(d2) = 259020057 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4928579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4928579, s2 = 10382612, int(edited[s2]) = 0 s1 = 4928579, s2 = 10382612, d1 = 29, d2 = 26 Dl.O(d1) = 203369819,208937279,211426618,206423141,261237456,271364412,164554983,152717309 Dl.O(d2) = 254559006,254268964,19227941,13735906,9410213,9410212,254268966,12555700,12555699,17744980,24103540,31606110,39851780,31170275,28753196,21493782,15487712,15487713,21493784,28617404,28617403,24180952,17812582,17812583,24180955,19700500,14125409,9717988,6393033,4011990,2404453,1391401,791253,448118,448121,791264,1391429,2404505,4012102,6393254,9718331,14125907,14335127,20015507,24080745,23682291,23682290,28753196,21493782,21493781,21559692,24087204,17729875,17729879,18932406,25545282,33307009,254193368,24165890,24100260,17741642,12553238,8511198,8511196,9410690,8275409,5339587,3282074,1930375,1930372,2933804,2933805,3282096,5339640,8275523,12253405,17388466,23712056,23153828,16892602,11820901,7899130,5020248,3038022,1768739,1768738,3038016,5020238,7899113,11820867,11819126,11819124,10437638,10437637,254277908,8510569,5510579,5510580,5556579,5556580,8559597,12610882,17812696,16893550,11821775,7900193,7900195,11821783,11474069,7631868,7631867,11474062,16467944,17362097,17362094,17728124,12542497,12542500,16579951,11560297,7693334,7693333,11560301,15108226,15108225,21034434,24099595,17740947,12552734,12552732,17740943,12552780,8510917,5510747,3398757,3398755,5510743,8510908,12552762,17740983,17753041,17753042,12589766,8541421,8541425,12589760,12539082,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588860,17755636,17744575,17744574,24099158,17740475,17740474,21247022,21247021,17361277,12612778,8561178,8561176,7389666,7389665,5486705,5486704,8485798,12523838,17705395,24060271,24199486,23841315,23841314,31333139,30846086,23415995,17777495,12581775,12581776,17777496,12624429,8570520,8570521,12624431,17741664,12598718,8549744,8549742,12598709,15280911,17361276,12612778,8561178,8561176,7389666,7389665,5486705,5486704,8485795,8260173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4928579, s2 = 10382612, dlinesl.size( ) = 2 s1 = 4928579, s2 = 10382612, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4928579, Dl.E( ) = 30, 2.72e-05 seconds used appending s1 = 8678084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8678084, s2 = 11400828, int(edited[s2]) = 0 s1 = 8678084, s2 = 11400828, d1 = 125, d2 = 117 Dl.O(d1) = 273726438,209005935,263569880,196819888,263569882,263922528 Dl.O(d2) = 141393251,141393250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8678084, s2 = 11400828, dlinesl.size( ) = 50 s1 = 4930011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5041192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5041192, s2 = 12284000, int(edited[s2]) = 0 s1 = 5041192, s2 = 12284000, d1 = 31, d2 = 3 Dl.O(d1) = 209056410 Dl.O(d2) = 37933400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5041192, s2 = 12284000, dlinesl.size( ) = 2 s1 = 5041192, s2 = 12284000, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5041192, Dl.E( ) = 46, 1.6e-05 seconds used appending s1 = 7124628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7124628, s2 = 8749889, int(edited[s2]) = 0 s1 = 7124628, s2 = 8749889, d1 = 73, d2 = 97 Dl.O(d1) = 262905108 Dl.O(d2) = 165262133,175963757,185446045,193720196,200814671,206801406,264752227,214507888,264366970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7124628, s2 = 8749889, dlinesl.size( ) = 24 s1 = 14301379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301379, s2 = 13066535, int(edited[s2]) = 0 s1 = 14301379, s2 = 13066535, d1 = 5, d2 = 34 Dl.O(d1) = 180608620 Dl.O(d2) = 260483085,97927166,84056450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301379, s2 = 13066535, dlinesl.size( ) = 2 s1 = 14301379, s2 = 13066535, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14301379, Dl.E( ) = 54, 2.12e-05 seconds used appending s1 = 14756638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14756638, s2 = 14349387, int(edited[s2]) = 0 s1 = 14756638, s2 = 14349387, d1 = 35, d2 = 27 Dl.O(d1) = 264206369,264749895,274273241,265192060,215766778,265263811,264868676,212993892,274218509,203845549,197287418,197287417,197287466,197287464,264004712,189599398,180701956,170570763,262923681,189599400,264050615,209319911,213810234,213810290,217494634,265263808,217494556,217494557,217494585,213810236,209319915,203845568,203845566,264624411,217494581,217494568,213810220,264312136,203845555,209319900,213810222,217494569,217494636,213810293,209319967,209319968,209319944,203845588,197287442 Dl.O(d2) = 254977277,20136403,27029091,35115700,35115699,44492691,55338674,67678186,67678185,55338673,44492689,44492688,257912773,67678184,55338673,269638045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14756638, s2 = 14349387, dlinesl.size( ) = 2 s1 = 14756638, s2 = 14349387, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14756638, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 5115660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5115660, s2 = 5367356, int(edited[s2]) = 0 s1 = 5115660, s2 = 5367356, d1 = 15, d2 = 7 Dl.O(d1) = 212401938,207580569,201734295,264264285,212401941,216345168,265237040 Dl.O(d2) = 222178994,220218852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5115660, s2 = 5367356, dlinesl.size( ) = 2 s1 = 5115660, s2 = 5367356, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5115660, Dl.E( ) = 28, 2.6e-05 seconds used appending s1 = 14127100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5045520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5045520, s2 = 4815022, int(edited[s2]) = 0 s1 = 5045520, s2 = 4815022, d1 = 34, d2 = 26 Dl.O(d1) = 209344723,203873902 Dl.O(d2) = 197319647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5045520, s2 = 4815022, dlinesl.size( ) = 2 s1 = 5045520, s2 = 4815022, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5045520, Dl.E( ) = 66, 1.79e-05 seconds used appending s1 = 15015051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16247583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9582330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10266249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15005935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5052138, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5052880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5052880, s2 = 15677667, int(edited[s2]) = 0 s1 = 5052880, s2 = 15677667, d1 = 22, d2 = 31 Dl.O(d1) = 209671318 Dl.O(d2) = 42659106,42659105,42202329,42202328,52562222,64437291,77606083,91535927,105758297,119991707,261441971,159474143,170811714,180938477,189823349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5052880, s2 = 15677667, dlinesl.size( ) = 2 s1 = 5052880, s2 = 15677667, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5052880, Dl.E( ) = 34, 8.11e-06 seconds used appending s1 = 8692732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14721937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14721937, s2 = 7073834, int(edited[s2]) = 0 s1 = 14721937, s2 = 7073834, d1 = 34, d2 = 30 Dl.O(d1) = 134885542,148005700,160253879,171468338,181481483,190271602,197860070 Dl.O(d2) = 262202815,140514175,127167394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14721937, s2 = 7073834, dlinesl.size( ) = 20 s1 = 7719994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7719994, s2 = 7102995, int(edited[s2]) = 0 s1 = 7719994, s2 = 7102995, d1 = 25, d2 = 19 Dl.O(d1) = 273643313 Dl.O(d2) = 262621904,258635304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7719994, s2 = 7102995, dlinesl.size( ) = 32 s1 = 5055572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5055789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4827549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8762549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4948098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4948381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4948381, s2 = 11244988, int(edited[s2]) = 0 s1 = 4948381, s2 = 11244988, d1 = 9, d2 = 3 Dl.O(d1) = 204949233 Dl.O(d2) = 130056262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4948381, s2 = 11244988, dlinesl.size( ) = 14 s1 = 7188065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4952586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14132944, s2 = 15078801, int(edited[s2]) = 0 s1 = 14132944, s2 = 15078801, d1 = 6, d2 = 6 Dl.O(d1) = 17746446,18864476,18864478,21493478,21493477,24097637,24156250,17789200,12590901,12590904,17789204,12615163,8563167,8563166,12615157,16166759,13441973,13441974,18865113,16580385,11560594,11560595,16580386,22797239,25130775,18577858,13202384,9000280,9000281,254610052,18866376,13443257,254444978,24138704,17774437,12579186,8532526,5530735,3416479,2016919,2016920,2455118,2455116,4104478,5489238,5489241,8488261,8564004,5560687,3445212,3445214,5560694,3763034,3763032,6015776,9189985,11822135,7900502,5021981,3039780,1770139,1770142,3039788,5021997,6016659,3763672,2254927,2254930,3763683,6016682,9191080,11816700,11816701,12615912,8563628,8563627,6017016,6017015,9191441,13442196,17900566,12680451,8612287,8612288,12680453,17900570,254871236,14126212,9718550,6393403,6393402,9718547,6393433,6393431,9718596,7395664,7395661,11150379,8501073,8501072,12540071,16470727,11475959,11475963,13756894,13756893,15107951,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944822,9944823,14455079,20150607,27043284,31695632,31695631,40383427,31717210,24209597,24209596,31588364,24209601,17839491,17839492,17726248,12541183,8501686,8501687,12541184,16469786,16469785,22664632,29313230,37882070,39037891,30448682,23040993,16796069,16796068,12632596,8577311,5573118,5573120,8577315,5573138,5573141,8577349,12632652,14979466,12556725,12556727,17746348,254417986,23040811,23040810,27042158,27042159,34972290,26893146,255321163,14332187,17724016,24081191,31586786,27044471,20151994,255193202,23040914,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595995,17795254,24162902,255581712,30448680,23040988,23040987,19703308,14127573,9719400,9719399,14127571,19703303,26442493,254444798,34321187,26444247,19705157,14128903,14128904,19705159,254874070,16163699,11230690,11230689,14454139,9944281,9944285,14454150,14454206,20149494,17712187,17712188,12630833,12312322,11239205,11239204,16171711,17827934,12623187,12623186,16026391,11127401,11127402,16026394,22144972,29483070,29096174,29096173,23679840,17359524,12229496,8257165,5326907,5326909,8257179,12229530,17359584,14332096,14332094,20011774,22510378,24207485,24207487,20012434,14332574,9845743,6466456,4051550,2424711,2424709,4051538,6466422,4713682,2839649,2839646,4713668,4713815,254504888,16172095,21064634,15130723,10435917,6879848,4318555,3072873,1792243,1792244,3072876,5069238,254818157,16996675,21796952,268254458,28269124,21066641,267997226,17041073,15129248,10435025,6879328,4318269,4318270,6879330,7459750,11239375,15132489,10436968,6880413,6880415,10436972,10899409,254579922,29094651,37644161,29668618,29668617,38234253,48144427,58020134,70734907,84286807,98182753,112145222,258869632,112145216,125981920,129925986,116026795,116026794,101979146,88002831,74397262,61618532,50136942,50136944,254623172,254623170,28615407,21379411,15397330,10641761,10641763,9446196,254455431,2320996,2320995,3875745,6192649,9446184,13778165,18659753,18659754,22291834,16147322,11218081,11218080,16147320,22291830,16742905,11698332,11698333,16742908,17600967,21378657,15396681,15396680,254196526,13252668,13252667,18639235,25202299,32915345,35326111,35326110,44752668,48120131,50406843,40371867,31678381,27970838,24147571,17780951,17780950,17802783,24170225,31678376,40371863,50406835,256039830,88318522,269411424,86467744,72872376,72872375,86467743,76894369,63784547,63784546,74559811,268943858,102165432,116226387,127695530,257611086,85857526,72265843,59531643,59531642,72265840,61918105,257096408,40394542,50428043,61918104,74711458,88339393,88339384,88339383,255588850,86686324,77570573,77570572,268117952,48945368,39022225,31199315,31199317,39879962,49901125,61381597,74162125,255198936,115784272,102266803,88268644,74638592,61846264,61846263,74638590,88268643,255588846,255198946,102449026,116545764,254872766,88293571,88293570,268004326,85857482,74668488,74668489,88293565,88293575,74668501,61876651,50387142,40352349,31657663,31657664,40352350,50387143,61876653,64350551,52480453,42125607,254864878,25427082,31893870,40602860,50652921,255942530,50652924,40602863,40602862,50652923,48144265,38234026,33168859,25426188,267773890,42125230,267915388,77515751,91445569,105669044,119904887,133773639,147021633,147021645,133773645,119904893,271989289,130255235,143583859,259535452,261317955,156120027,261859998,178179809,178179806,187405751,195433706,195433717,187405764,261317956,202299607,202299616,202299615,202299614,202299613,208071780,212831206,212831207,216722514,214159451,214159450,216722522,273752030,225005939,222669470,222669469,222669467,219947943,216722521,216722520,219947941,274425553,227035200,225005929,222669458,221161697,218231027,214743089,214743088,218231024,218231054,214743110,210505242,205318494,199053532,199053531,205318492,210505241,214743109,218231053,274272648,214743138,210505264,210505263,214743137,218231078,221161741,218987989,264739114,211547096,215621018,211547093,211547092,215621017,211547094,211547090,206560828,206560825,200526192,193378787,193378786,193378783,185049956,175511945,175511944,185049953,185049970,262701438,261706288,126894580,113041712,113041713,126894583,126894586,126894558,113041688,99053606,99053607,113041690,272190231,113041707,99053623,85128833,71558366,58830985,47445025,37537047,28991955,28991954,37537046,47445022,58830979,71558361,85128825,272841293,140242174,152931797,140242175,126894565,113041696,99053609,99053608,113041694,116554130,116554131,130394033,141522794,128164641,114280944,114280945,114280940,100250406,100250405,114280938,260411058,114280954,272224213,141522803,128164651,114280955,102455023,258188636,74817995,88451418,259435902,130394042,143720077,261775122,260411056,100250412,86287182,86287183,100250415,114280952,112109714,112109715,102455027,100250427,256456262,72644610,72644611,84256600,84256599,86287202,257000442,86246531,86246532,86246529,268654606,84256603,70705102,57987820,57987821,70705103,84256604,98150503,98150505,258701492,70705104,84256607,84256629,84256630,84256611,70705106,57987825,46611570,46611569,36723888,36723887,46611575,57987833,70705117,84256625,259579540,77898832,91820053,257130608,64710240,64710239,77898836,64710245,64710246,77898844,81279817,77898840,270530627,63930448,63930447,52796401,42396826,42396825,269514579,77898831,64710243,269088801,33407756,25641116,25641117,33407758,257100735,269008237,61985194,74781319,88412634,77898866,64710263,52796428,42396849,42396850,257806415,42396833,42396832,33512592,25733444,19100858,13637294,13637293,268302975,33512590,42512125,52796418,42396838,33407759,33407760,42396840,52796421,64710258,77898856,259676237,91820065,91970336,91820073,77898857,77898858,91820075,106014953,271998413,159627562,170951247,177535629,263176393,154187529,261204749,128165901,261204751,114282290,100251870,86288844,72690826,72690825,60768024,60768023,60768022,60768289,64297857,77454161,258692518,73289570,60546289,49365876,49365877,41376303,41376304,48288613,38377925,38377926,48288615,39436740,30832498,30832497,39436739,47757788,37835338,29269297,23403901,17130740,17130742,23403908,29269227,21946885,21946884,29269225,37835264,47757707,59156449,71894325,73516857,73516856,87135479,84962983,269847780,73516843,60768202,49365655,49365654,49366059,49366037,39437252,30833102,23404422,23404423,30833105,31820377,31820379,40517085,44404281,35028957,26948276,26948277,35028960,39849391,255373260,40535245,31837345,24318363,19421982,19421983,26115245,31837324,38079576,30826332,23398663,23398664,255011028,49360035,41638421,41638423,44404154,42034728,33087253,33087254,35307805,35307806,35028994,35028995,35029039,35029040,35029128,35029127,44404458,35029190,35029191,35029179,35029178,268011168,20987646,15074859,15074861,16782112,23023129,23678976,17358710,12228781,8256565,8256562,10915131,15760659,16048808,16048809,17126630,18102147,18102146,22649667,23678558,17358439,17358438,23678549,29515072,22173553,16049160,12228674,12228672,17358506,18218615,22173487,29514992,22173448,16049140,11143821,11143822,16049145,20063229,20063207,20063206,15074580,10397413,6853846,6853847,10397417,15074592,15390102,21370226,28603872,22173465,16049085,11143783,11143786,16048744,11143568,7391410,7391409,11143562,16048733,22172974,29514537,38079216,39017787,38079540,38079541,38595250,30428659,30428660,39017789,41107136,32296491,255453276,18218672,24685347,29515021,29515034,22173493,16049110,11143796,11143797,7391547,7391546,11143812,16049130,22173525,22173581,29515095,30428573,23023113,23023112,30428570,256556546,59382139,47992331,47992051,38079218,38079217,38079261,29514597,22173040,16048777,11143587,11143586,16048771,22173032,29514590,29514972,24594090,18147870,18147871,16049056,11143766,9974486,9974487,11143610,11143609,16048820,18218623,12922195,11143806,7391543,4669764,2813469,1632271,1632272,2813473,4669771,7391563,11143855,16049187,22173586,18062698,16782107,11734070,11734068,13220516,18601951,25159296,25153513,25153512,32547247,32547248,40537211,31839293,31839292,32905968,268290623,13247353,254881008,22173245,16048914,11143669,11143670,12803285,18059172,22173359,18597697,17933014,17933013,17933006,17933008,24319973,31831407,24313394,24313398,31831409,29515012,22173594,16049240,11143883,7391581,4669783,4669785,7391584,11143890,13257649,11143695,7391485,4669727,4669725,7391481,255228730,4669778 Dl.O(d2) = 17746446,18864476,18864478,21493478,21493477,24097637,24156250,17789200,12590901,12590904,17789204,12615163,8563167,8563166,12615157,16166759,13441973,13441974,18865113,16580385,11560594,11560595,16580386,22797239,25130775,18577858,13202384,9000280,9000281,254610052,18866376,13443257,254444978,24138704,17774437,12579186,8532526,5530735,3416479,2016919,2016920,2455118,2455116,4104478,5489238,5489241,8488261,8564004,5560687,3445212,3445214,5560694,3763034,3763032,6015776,9189985,11822135,7900502,5021981,3039780,1770139,1770142,3039788,5021997,6016659,3763672,2254927,2254930,3763683,6016682,9191080,11816700,11816701,12615912,8563628,8563627,6017016,6017015,9191441,13442196,17900566,12680451,8612287,8612288,12680453,17900570,254871236,14126212,9718550,6393403,6393402,9718547,6393433,6393431,9718596,7395664,7395661,11150379,8501073,8501072,12540071,16470727,11475959,11475963,13756894,13756893,15107951,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944822,9944823,14455079,20150607,27043284,31695632,31695631,40383427,31717210,24209597,24209596,31588364,24209601,17839491,17839492,17726248,12541183,8501686,8501687,12541184,16469786,16469785,22664632,29313230,37882070,39037891,30448682,23040993,16796069,16796068,12632596,8577311,5573118,5573120,8577315,5573138,5573141,8577349,12632652,14979466,12556725,12556727,17746348,254417986,23040811,23040810,27042158,27042159,34972290,26893146,255321163,14332187,17724016,24081191,31586786,27044471,20151994,255193202,23040914,23040917,17814775,17814777,19703825,19703827,18550034,16605470,11581250,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595995,17795254,24162902,255581712,30448680,23040988,23040987,19703308,14127573,9719400,9719399,14127571,19703303,26442493,254444798,34321187,26444247,19705157,14128903,14128904,19705159,254874070,16163699,11230690,11230689,14454139,9944281,9944285,14454150,14454206,20149494,17712187,17712188,12630833,12312322,11239205,11239204,16171711,17827934,12623187,12623186,16026391,11127401,11127402,16026394,22144972,29483070,29096174,29096173,23679840,17359524,12229496,8257165,5326907,5326909,8257179,12229530,17359584,14332096,14332094,20011774,22510378,24207485,24207487,20012434,14332574,9845743,6466456,4051550,2424711,2424709,4051538,6466422,4713682,2839649,2839646,4713668,4713815,254504888,16172095,21064634,15130723,10435917,6879848,4318555,3072873,1792243,1792244,3072876,5069238,254818157,16996675,21796952,268254458,28269124,21066641,267997226,17041073,15129248,10435025,6879328,4318269,4318270,6879330,7459750,11239375,15132489,10436968,6880413,6880415,10436972,10899409,254579922,29094651,37644161,29668618,29668617,38234253,48144427,58020134,70734907,84286807,98182753,112145222,258869632,112145216,125981920,129925986,116026795,116026794,101979146,88002831,74397262,61618532,50136942,50136944,254623172,254623170,28615407,21379411,15397330,10641761,10641763,9446196,254455431,2320996,2320995,3875745,6192649,9446184,13778165,18659753,18659754,22291834,16147322,11218081,11218080,16147320,22291830,16742905,11698332,11698333,16742908,17600967,21378657,15396681,15396680,254196526,13252668,13252667,18639235,25202299,32915345,35326111,35326110,44752668,48120131,50406843,40371867,31678381,27970838,24147571,17780951,17780950,17802783,24170225,31678376,40371863,50406835,256039830,88318522,269411424,86467744,72872376,72872375,86467743,76894369,63784547,63784546,74559811,268943858,102165432,116226387,127695530,257611086,85857526,72265843,59531643,59531642,72265840,61918105,257096408,40394542,50428043,61918104,74711458,88339393,88339384,88339383,255588850,86686324,77570573,77570572,268117952,48945368,39022225,31199315,31199317,39879962,49901125,61381597,74162125,255198936,115784272,102266803,88268644,74638592,61846264,61846263,74638590,88268643,255588846,255198946,102449026,116545764,254872766,88293571,88293570,268004326,85857482,74668488,74668489,88293565,88293575,74668501,61876651,50387142,40352349,31657663,31657664,40352350,50387143,61876653,64350551,52480453,42125607,254864878,25427082,31893870,40602860,50652921,255942530,50652924,40602863,40602862,50652923,48144265,38234026,33168859,25426188,267773890,42125230,267915388,77515751,91445569,105669044,119904887,133773639,147021633,147021645,133773645,119904893,271989289,130255235,143583859,259535452,261317955,156120027,261859998,178179809,178179806,187405751,195433706,195433717,187405764,261317956,202299607,202299616,202299615,202299614,202299613,208071780,212831206,212831207,216722514,214159451,214159450,216722522,273752030,225005939,222669470,222669469,222669467,219947943,216722521,216722520,219947941,274425553,227035200,225005929,222669458,221161697,218231027,214743089,214743088,218231024,218231054,214743110,210505242,205318494,199053532,199053531,205318492,210505241,214743109,218231053,274272648,214743138,210505264,210505263,214743137,218231078,221161741,218987989,264739114,211547096,215621018,211547093,211547092,215621017,211547094,211547090,206560828,206560825,200526192,193378787,193378786,193378783,185049956,175511945,175511944,185049953,185049970,262701438,261706288,126894580,113041712,113041713,126894583,126894586,126894558,113041688,99053606,99053607,113041690,272190231,113041707,99053623,85128833,71558366,58830985,47445025,37537047,28991955,28991954,37537046,47445022,58830979,71558361,85128825,272841293,140242174,152931797,140242175,126894565,113041696,99053609,99053608,113041694,116554130,116554131,130394033,141522794,128164641,114280944,114280945,114280940,100250406,100250405,114280938,260411058,114280954,272224213,141522803,128164651,114280955,102455023,258188636,74817995,88451418,259435902,130394042,143720077,261775122,260411056,100250412,86287182,86287183,100250415,114280952,112109714,112109715,102455027,100250427,256456262,72644610,72644611,84256600,84256599,86287202,257000442,86246531,86246532,86246529,268654606,84256603,70705102,57987820,57987821,70705103,84256604,98150503,98150505,258701492,70705104,84256607,84256629,84256630,84256611,70705106,57987825,46611570,46611569,36723888,36723887,46611575,57987833,70705117,84256625,259579540,77898832,91820053,257130608,64710240,64710239,77898836,64710245,64710246,77898844,81279817,77898840,270530627,63930448,63930447,52796401,42396826,42396825,269514579,77898831,64710243,269088801,33407756,25641116,25641117,33407758,257100735,269008237,61985194,74781319,88412634,77898866,64710263,52796428,42396849,42396850,257806415,42396833,42396832,33512592,25733444,19100858,13637294,13637293,268302975,33512590,42512125,52796418,42396838,33407759,33407760,42396840,52796421,64710258,77898856,259676237,91820065,91970336,91820073,77898857,77898858,91820075,106014953,271998413,159627562,170951247,177535629,263176393,154187529,261204749,128165901,261204751,114282290,100251870,86288844,72690826,72690825,60768024,60768023,60768022,60768289,64297857,77454161,258692518,73289570,60546289,49365876,49365877,41376303,41376304,48288613,38377925,38377926,48288615,39436740,30832498,30832497,39436739,47757788,37835338,29269297,23403901,17130740,17130742,23403908,29269227,21946885,21946884,29269225,37835264,47757707,59156449,71894325,73516857,73516856,87135479,84962983,269847780,73516843,60768202,49365655,49365654,49366059,49366037,39437252,30833102,23404422,23404423,30833105,31820377,31820379,40517085,44404281,35028957,26948276,26948277,35028960,39849391,255373260,40535245,31837345,24318363,19421982,19421983,26115245,31837324,38079576,30826332,23398663,23398664,255011028,49360035,41638421,41638423,44404154,42034728,33087253,33087254,35307805,35307806,35028994,35028995,35029039,35029040,35029128,35029127,44404458,35029190,35029191,35029179,35029178,268011168,20987646,15074859,15074861,16782112,23023129,23678976,17358710,12228781,8256565,8256562,10915131,15760659,16048808,16048809,17126630,18102147,18102146,22649667,23678558,17358439,17358438,23678549,29515072,22173553,16049160,12228674,12228672,17358506,18218615,22173487,29514992,22173448,16049140,11143821,11143822,16049145,20063229,20063207,20063206,15074580,10397413,6853846,6853847,10397417,15074592,15390102,21370226,28603872,22173465,16049085,11143783,11143786,16048744,11143568,7391410,7391409,11143562,16048733,22172974,29514537,38079216,39017787,38079540,38079541,38595250,30428659,30428660,39017789,41107136,32296491,255453276,18218672,24685347,29515021,29515034,22173493,16049110,11143796,11143797,7391547,7391546,11143812,16049130,22173525,22173581,29515095,30428573,23023113,23023112,30428570,256556546,59382139,47992331,47992051,38079218,38079217,38079261,29514597,22173040,16048777,11143587,11143586,16048771,22173032,29514590,29514972,24594090,18147870,18147871,16049056,11143766,9974486,9974487,11143610,11143609,16048820,18218623,12922195,11143806,7391543,4669764,2813469,1632271,1632272,2813473,4669771,7391563,11143855,16049187,22173586,18062698,16782107,11734070,11734068,13220516,18601951,25159296,25153513,25153512,32547247,32547248,40537211,31839293,31839292,32905968,268290623,13247353,254881008,22173245,16048914,11143669,11143670,12803285,18059172,22173359,18597697,17933014,17933013,17933006,17933008,24319973,31831407,24313394,24313398,31831409,29515012,22173594,16049240,11143883,7391581,4669783,4669785,7391584,11143890,13257649,11143695,7391485,4669727,4669725,7391481,255228730,4669778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14132944, s2 = 15078801, dlinesl.size( ) = 2 s1 = 14132944, s2 = 15078801, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14132944, Dl.E( ) = 8, 1.38e-05 seconds used appending s1 = 15166691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5062328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5063659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5063659, s2 = 8482059, int(edited[s2]) = 0 s1 = 5063659, s2 = 8482059, d1 = 1, d2 = 1 Dl.O(d1) = 274007813,214801189,210571229,205393508,199135896,191736489,183130650,173285140,162191555,149984339,136851024,123020330,271147757,80399344,66969068,257293045 Dl.O(d2) = 274007813,214801189,210571229,205393508,199135896,191736489,183130650,173285140,162191555,149984339,136851024,123020330,271147757,80399344,66969068,257293045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5063659, s2 = 8482059, dlinesl.size( ) = 2 s1 = 5063659, s2 = 8482059, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5063659, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7719745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7719745, s2 = 8831927, int(edited[s2]) = 0 s1 = 7719745, s2 = 8831927, d1 = 7, d2 = 3 Dl.O(d1) = 273635076,205393893 Dl.O(d2) = 265133897,265668923,265952123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7719745, s2 = 8831927, dlinesl.size( ) = 12 s1 = 14711922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14711922, s2 = 11441546, int(edited[s2]) = 0 s1 = 14711922, s2 = 11441546, d1 = 207, d2 = 169 Dl.O(d1) = 262576597,183348610,191913353,199281340,205515688,210673068,214886308,218353072,265170332,221266104,218353050,274182956,199281336 Dl.O(d2) = 264631398,264821576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14711922, s2 = 11441546, dlinesl.size( ) = 46 s1 = 4958342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4958342, s2 = 6638380, int(edited[s2]) = 0 s1 = 4958342, s2 = 6638380, d1 = 62, d2 = 64 Dl.O(d1) = 205524027,210680525,206180286,200093373,192880876,184480732,184480733,192880877,264164403,192880907,184480756,174869045,174869047,184480758,192880909,200093375 Dl.O(d2) = 265162707,211209509,264714957,215325437,274399994,200093385,192880918,263840293,206180326,264714967,206180341,200093431,200093432,264164419,206180345,200093431,200093432,192880944,192880945,200093435,264454453,215325443,264454455,200093439,192880948,263078099,164051254,164051253,174869079,184480785,263840295,206180306,200093389,192880896,184480748,174869040,174869035,174869033,263479339,200093381,206180300,263840289,184480761,192880912,273523433,164051232,164051231,174869052,164051236,152173511,139449525,139449526,152173512,164051242,174869068,174869041,164051229,152173505,262149363,174869044,263479345,184480760,174869050,262149365,152173506,164051230,174869047,184480758,263078095,164051249,152173516,139449530,139449531,152173518,262634011,263479353,263078089,164051230,174869047,184480758,263078095,174869076,184480742,263479341,174869080,164051254,152173520,152173519,164051252,263078097,264164417,264454441,200093400,192880911,192880912,273523433,164051232,152173508,139449524,260497825,112223015,126078845,139449522,262149363,174869044,263479345,184480760,174869050,262149365,152173506,164051230,174869047,184480758,263078095,174869076,184480742,174869037,174869036,184480741,192880888,200093384,206180304,206180324,263840291,184480767,174869064,164051239,152173511,152173510,164051234,174869024,184480731,192880875,184480743,174869037,174869036,184480741,192880888,200093384,206180304,206180324,263840291,184480767,174869064,164051239,152173511,139449525,126078846,112223017,98244828,84337569,70778644,58060731,256835671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4958342, s2 = 6638380, dlinesl.size( ) = 2 s1 = 4958342, s2 = 6638380, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4958342, Dl.E( ) = 68, 4.32e-05 seconds used appending s1 = 7190321, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15910049, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9328050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9328050, s2 = 3991429, int(edited[s2]) = 0 s1 = 9328050, s2 = 3991429, d1 = 28, d2 = 52 Dl.O(d1) = 273061263 Dl.O(d2) = 264237098,263177830,208664334,208664333,213296077,263177834,273726158,225208924,227208238,228954519,230495716,265004220,273872244,157689417,145277084,257554840,41224993,32401008,32401009,254542562,20328535,14589108,10038688,6597179,6597180,10038693,14589122,10726873,10726875,11504442,16508882,11504950,11504949,16499044,16499043,16507833,22711900,24777393,32401009,255987978,21401901,15415170,10655692,7036411,4427204,4427200,7036392,8824869,8824873,9050454,5916395,5916392,6470575,9850905,14338912,18097725,12831626,12831623,13108973,13108972,13137125,8953493,8953495,13026922,8934340,5831482,3638780,2174508,1259528,1259525,2174524,3638982,5831925,6011554,8777845,8917553,6011556,6011554,8777842,8917533,8935077,8935075,13110138,254906022,25077874,269488855,90800380,260841845,260042505,258801671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9328050, s2 = 3991429, dlinesl.size( ) = 36 s1 = 7261153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7261153, s2 = 2370666, int(edited[s2]) = 0 s1 = 7261153, s2 = 2370666, d1 = 31, d2 = 59 Dl.O(d1) = 264694848 Dl.O(d2) = 6598139,6598143,10040095,14591066,14591070,20331253,27266491,35392896,44818662,52483257,64353412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7261153, s2 = 2370666, dlinesl.size( ) = 2 s1 = 7261153, s2 = 2370666, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7261153, Dl.E( ) = 60, 1.79e-05 seconds used appending s1 = 15211189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14730451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14730451, s2 = 10357839, int(edited[s2]) = 0 s1 = 14730451, s2 = 10357839, d1 = 0, d2 = 4 Dl.O(d1) = 163615246,174453592 Dl.O(d2) = 192556855,192556854,184104391,184104392,192556855,184104390,174453590,163615243,151738751,139036406,139036405,151738750,163615242,174453587,272511504,199830580,205979003,211062280,215216696,215135756,210966820,205865706,205865705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14730451, s2 = 10357839, dlinesl.size( ) = 2 s1 = 14730451, s2 = 10357839, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14730451, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 10357838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16318253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15702813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15702813, s2 = 11009056, int(edited[s2]) = 0 s1 = 15702813, s2 = 11009056, d1 = 0, d2 = 1 Dl.O(d1) = 20128368,27019385,35104698,44481195,55327295,57733678,70428096,83954527,97813449,111735416,125541427,138874039,151576744,163459886,174307968,183970543,192436574,199725236,205889735 Dl.O(d2) = 254728037,4382774,2625064,2612271,1515107,1515106,2613551,2613550,267881217,6940279,6940278,10510296,6930761,4354564,2608354,1506000,1505999,855186,855185,1508137,2612090,2613694,2612647,2612644,1508568,1508567,2612727,4360130,4360128,5600513,3476456,2614136,1509549,1509547,1509296,1509297,2613748,2608432,2608433,4354647,4362285,2614146,2614149,4354200,4360926,4360928,254320739,2522840,4219632,2624606,2624604,4382239,4384152,4384153,6978144,10578607,15316475,255822529,21278793,21278792,17495248,12335758,12335759,15256148,10525284,6941597,4362518,2614321,2614318,4362514,6941589,10525273,12684049,12684050,13714980,13714979,19202752,256157595,42697140,257824595,78414455,271078521,121008122,134804774,147923578,260995912,137398647,260404258,109475613,95224264,81167881,67702105,268828810,38046328,38046327,47959435,59350130,72083267,85669519,99618031,113631752,127503847,261709069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15702813, s2 = 11009056, dlinesl.size( ) = 2 s1 = 15702813, s2 = 11009056, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15702813, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 4987540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4987540, s2 = 11189176, int(edited[s2]) = 0 s1 = 4987540, s2 = 11189176, d1 = 50, d2 = 1 Dl.O(d1) = 206700921,205892581 Dl.O(d2) = 125549245,111743296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4987540, s2 = 11189176, dlinesl.size( ) = 28 s1 = 8802690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16129442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15144703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14636282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14636282, s2 = 11602024, int(edited[s2]) = 0 s1 = 14636282, s2 = 11602024, d1 = 6, d2 = 9 Dl.O(d1) = 86465868,257507078,48738874,38818668,38818667,48738873,256839026,33346739,42328159,41338188,32490352,24848350,24848349,32490351,29517764,28544170,28514735,26206717,26206719,34062281,30584928,30584929,39182695,37503129,31229889,30583405,30583404,31229890,30884888,30884889,30884902,30884901,30361240,30361241,25265105,25265106,32988602,41929085,40112760,39987416,39987417,50005463,46684730,269304927 Dl.O(d2) = 274875039,240446419,239921897,239354785,239354786,239921899,274860649,274900741,240446419,239921897,239354785,239354786,239921900,240446423,266995255,241383721,274900743,242186812,242543636,242269778,241890783,241479937,267079806,240560038,240045901,239491317,238890362,238236210,237517871,236726909,235859140,234906617,233860496,232711841,231440774,230021905,230021904,228422341,226601779,226601778,265691110,222109523,219311796,264950346,201184164,263840436,165833220,154063187,261629128,272220399,100095781,86128388,72528928,59793646,48408736,48408735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14636282, s2 = 11602024, dlinesl.size( ) = 2 s1 = 14636282, s2 = 11602024, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14636282, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 5078374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4586496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11499838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7193686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7193686, s2 = 7309347, int(edited[s2]) = 0 s1 = 7193686, s2 = 7309347, d1 = 64, d2 = 79 Dl.O(d1) = 263844915 Dl.O(d2) = 265252823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7193686, s2 = 7309347, dlinesl.size( ) = 34 s1 = 10266921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16125779, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15710826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15710826, s2 = 14048349, int(edited[s2]) = 0 s1 = 15710826, s2 = 14048349, d1 = 63, d2 = 50 Dl.O(d1) = 127298267,113439743,99437924,85496518,71911655,59173900,47775156,256371101,21958433,255065511,255065509,10996794,15866075 Dl.O(d2) = 27200990,20274001,14546372,10008655,6577716,6577715,10008653,14546368,14546365,14546366,20273997,268071050,27000487,20110435,14421521,9920000,6519697,6519698,9920003,254921411,9183416,6010647,6010644,254649871,13431886,18817279,13405742,13405744,13405758,9165366,5998736,3751465,3751464,5998731,9165361,7015822,4411411,2645185,2645186,4411413,7015825,10629062,15381027,18310439,23800345,24464212,20111608,20111607,20111515,14422804,9921274,6520656,6520657,9921276,9127945,5973311,3735507,3735506,4083909,4083910,4115504,4405640,6569394,6569393,9995819,254499078,7018642,10632647,254921062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15710826, s2 = 14048349, dlinesl.size( ) = 2 s1 = 15710826, s2 = 14048349, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15710826, Dl.E( ) = 80, 3.5e-05 seconds used appending s1 = 14749227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15704513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7715836, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7196154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7196154, s2 = 3566894, int(edited[s2]) = 0 s1 = 7196154, s2 = 3566894, d1 = 38, d2 = 4 Dl.O(d1) = 263870651 Dl.O(d2) = 120140846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7196154, s2 = 3566894, dlinesl.size( ) = 26 s1 = 10243473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10243473, s2 = 15788649, int(edited[s2]) = 0 s1 = 10243473, s2 = 15788649, d1 = 37, d2 = 38 Dl.O(d1) = 140280094,152970221,164799449,175547282,185080200,263119466,206578720 Dl.O(d2) = 215951627,219271932,264800632,211941871,207033433,201084574,201084575,264510059,215951622,264548674,201084573,194025915,273151696,165677720,153901772,141230032,127871027,113992876,99969378,260009241,271373464,258844664,72413427,259391017,112702188,98706565,84778648,71210016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10243473, s2 = 15788649, dlinesl.size( ) = 18 s1 = 9591164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15078802, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15868956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5097669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15104134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14722107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14722107, s2 = 7733361, int(edited[s2]) = 0 s1 = 14722107, s2 = 7733361, d1 = 80, d2 = 63 Dl.O(d1) = 259872472,201018312,262615542,263464320,264152322,273969854,224464840,222052864,222052865,263061500,263464326,263826978,183973981,263061502,262128588,206975167,201018305 Dl.O(d2) = 273997281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14722107, s2 = 7733361, dlinesl.size( ) = 50 s1 = 15222079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15222079, s2 = 14236503, int(edited[s2]) = 0 s1 = 15222079, s2 = 14236503, d1 = 0, d2 = 100 Dl.O(d1) = 11272831 Dl.O(d2) = 231226477,229785527,228162410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15222079, s2 = 14236503, dlinesl.size( ) = 2 s1 = 15222079, s2 = 14236503, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15222079, Dl.E( ) = 166, 7.01e-05 seconds used appending s1 = 8615422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8615422, s2 = 7416073, int(edited[s2]) = 0 s1 = 8615422, s2 = 7416073, d1 = 76, d2 = 53 Dl.O(d1) = 261742784,206976412 Dl.O(d2) = 266430675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8615422, s2 = 7416073, dlinesl.size( ) = 44 s1 = 7267554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7267554, s2 = 11665618, int(edited[s2]) = 0 s1 = 7267554, s2 = 11665618, d1 = 36, d2 = 43 Dl.O(d1) = 264764568 Dl.O(d2) = 661761,1178476,267803247,5581854,8590278,12652178,17866357,24242205,31753963,257099945,50485321,271421546,257619197,39524376,39524377,49457985,257866553,269579407,60860963,258849841,87232396,101232809,115311124,123572297,109380807,95126580,81068383,67600201,55258518,55258517,67600199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7267554, s2 = 11665618, dlinesl.size( ) = 22 s1 = 7275607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7249601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7249601, s2 = 7082442, int(edited[s2]) = 0 s1 = 7249601, s2 = 7082442, d1 = 14, d2 = 7 Dl.O(d1) = 264542394 Dl.O(d2) = 262304328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7249601, s2 = 7082442, dlinesl.size( ) = 20 s1 = 16248356, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7161354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7161354, s2 = 15334547, int(edited[s2]) = 0 s1 = 7161354, s2 = 15334547, d1 = 12, d2 = 20 Dl.O(d1) = 263421522 Dl.O(d2) = 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4914948,4914326,4914325,4915974,2963440,2963439,1719474,977125,977124,1719468,1718612,976609,976611,1718618,1718745,2963560,4915371,2962994,1718380,976485,976483,1718375,2962980,2964116,1719124,976911,976912,1719130,2964129,4914399,7759420,7759937,4914914,4914753,2963283,1718555,976580,549813,307779,170294,170292,307772,549799,976549,976927,1719162,2963700,1718842,1718843,2963653,2963652,2964782,4915066,4915067,4915916,2963385,1718635,1718637,1719486,1718654,976632,976631,1718648,2963031,1718398,976500,549778,307760,170285,170283,307753,549759,976460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7161354, s2 = 15334547, dlinesl.size( ) = 2 s1 = 7161354, s2 = 15334547, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7161354, Dl.E( ) = 30, 1.72e-05 seconds used appending s1 = 8772542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8772542, s2 = 9678624, int(edited[s2]) = 0 s1 = 8772542, s2 = 9678624, d1 = 110, d2 = 146 Dl.O(d1) = 265004930,216077027,216077028,216077060,216077065,264775432 Dl.O(d2) = 273556801,201289284,207208002,212089385,214890633,265004936,265138395,222171971,265004942,216077066,264238086,207208038,212089412,264775444,214890634,218357010,219380505,264521246,207208075,201289352,201289353,201289340,194257051,273556794,207208060,212089426,264521224,207207997,207207998,207208025,201289309,194257029,263569996,264238060,207207958,273997601,201289268,194256999,194256998,201289265,207207967,207208019,207208018,264238094,216077077,264775428,207207978,207207979,212089362,216077033,216077076,216077077,219380482,264775430 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14731949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15029455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15802881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7080027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7080027, s2 = 10548085, int(edited[s2]) = 0 s1 = 7080027, s2 = 10548085, d1 = 18, d2 = 15 Dl.O(d1) = 262276191,176713672,186126097,263928561 Dl.O(d2) = 259881307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7080027, s2 = 10548085, dlinesl.size( ) = 2 s1 = 7080027, s2 = 10548085, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7080027, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 14770790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13666739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5009799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5112510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5112510, s2 = 4772509, int(edited[s2]) = 0 s1 = 5112510, s2 = 4772509, d1 = 8, d2 = 0 Dl.O(d1) = 212279822 Dl.O(d2) = 194562196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5112510, s2 = 4772509, dlinesl.size( ) = 14 s1 = 15988531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7257596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7257596, s2 = 7240910, int(edited[s2]) = 0 s1 = 7257596, s2 = 7240910, d1 = 53, d2 = 51 Dl.O(d1) = 264643977 Dl.O(d2) = 264443837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7257596, s2 = 7240910, dlinesl.size( ) = 44 s1 = 11381532, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10267591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7703888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7703888, s2 = 11097220, int(edited[s2]) = 0 s1 = 7703888, s2 = 11097220, d1 = 34, d2 = 61 Dl.O(d1) = 273149099,263242760,207575515 Dl.O(d2) = 260816060,145974475,132747314,118919082,257736194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7703888, s2 = 11097220, dlinesl.size( ) = 34 s1 = 5115838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5115838, s2 = 13795988, int(edited[s2]) = 0 s1 = 5115838, s2 = 13795988, d1 = 11, d2 = 19 Dl.O(d1) = 212416465 Dl.O(d2) = 224764443,224764445,222802781,220106717,216916583,216916582,213069151,262819042,195868002,195868001,202658631,202658632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5115838, s2 = 13795988, dlinesl.size( ) = 2 s1 = 5115838, s2 = 13795988, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5115838, Dl.E( ) = 20, 5.01e-06 seconds used appending s1 = 5014058, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7170666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16034735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16123559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5215581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11537128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14178282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14178282, s2 = 8634528, int(edited[s2]) = 0 s1 = 14178282, s2 = 8634528, d1 = 11, d2 = 7 Dl.O(d1) = 264572241,274325104,212759311,216659897,219893361 Dl.O(d2) = 273892287,178032174,262067632,155954218,265437851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14178282, s2 = 8634528, dlinesl.size( ) = 12 s1 = 16091037, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5306573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8839724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4665777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15008775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16397435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7274641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7274641, s2 = 3624396, int(edited[s2]) = 0 s1 = 7274641, s2 = 3624396, d1 = 5, d2 = 9 Dl.O(d1) = 264848853 Dl.O(d2) = 125530817,111724521,97802336,83943011,70416065,57721026,46370713,36511809,28047697,256812593,36511810,256274863,20879528,14977559,10310051,6781251,6781253,10310055,14977560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7274641, s2 = 3624396, dlinesl.size( ) = 2 s1 = 7274641, s2 = 3624396, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7274641, Dl.E( ) = 28, 1.31e-05 seconds used appending s1 = 5037272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5037272, s2 = 15336244, int(edited[s2]) = 0 s1 = 5037272, s2 = 15336244, d1 = 2, d2 = 31 Dl.O(d1) = 208724100 Dl.O(d2) = 186956841,177676350,167177673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5037272, s2 = 15336244, dlinesl.size( ) = 32 s1 = 7119597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7119597, s2 = 4672766, int(edited[s2]) = 0 s1 = 7119597, s2 = 4672766, d1 = 13, d2 = 10 Dl.O(d1) = 262818938,213390127 Dl.O(d2) = 261298020,188714022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7119597, s2 = 4672766, dlinesl.size( ) = 16 s1 = 7209277, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7209443, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11508558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508558, s2 = 5464121, int(edited[s2]) = 0 s1 = 11508558, s2 = 5464121, d1 = 8, d2 = 8 Dl.O(d1) = 158655993,170014599,180181237,189123524,273782021,264616193,264860726,223074666,225350801 Dl.O(d2) = 158655993,170014599,180181237,189123524,273782021,264616193,264860726,223074666,225350801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508558, s2 = 5464121, dlinesl.size( ) = 2 s1 = 11508558, s2 = 5464121, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11508558, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11530416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11530416, s2 = 16038732, int(edited[s2]) = 0 s1 = 11530416, s2 = 16038732, d1 = 23, d2 = 19 Dl.O(d1) = 223122673,220497856,217412333,213713348,209205902,209205903,213713354,217412321,217412322,220497842,223122687,225390711,225390701,225390700,227362072,229086268,230608359,231964162,231964161,231964176,230608378,229086318,227362121,227362119,229086313,230582266,229056844,229056823,227328746,225351410,223075471,220437139,217330902,213600781 Dl.O(d2) = 257763837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11530416, s2 = 16038732, dlinesl.size( ) = 2 s1 = 11530416, s2 = 16038732, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11530416, Dl.E( ) = 28, 2.5e-05 seconds used appending s1 = 7237345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7237345, s2 = 16324993, int(edited[s2]) = 0 s1 = 7237345, s2 = 16324993, d1 = 69, d2 = 110 Dl.O(d1) = 264397130,209295758 Dl.O(d2) = 210581977,210581976,214810243,214810244,214810245,265134505,218289937,220415816,220415815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7237345, s2 = 16324993, dlinesl.size( ) = 14 s1 = 10359367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10265123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7295977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7295977, s2 = 11430336, int(edited[s2]) = 0 s1 = 7295977, s2 = 11430336, d1 = 88, d2 = 32 Dl.O(d1) = 265100799,213979930,213979931,209521718 Dl.O(d2) = 261987747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7295977, s2 = 11430336, dlinesl.size( ) = 74 s1 = 5049958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5240451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5240451, s2 = 7982333, int(edited[s2]) = 0 s1 = 5240451, s2 = 7982333, d1 = 52, d2 = 31 Dl.O(d1) = 217653172,213995610,209540177 Dl.O(d2) = 25606042,25606041,256542929,24120946,24120947,31626303,35396855,34595208,26607953,19800487,18328454,13010546,8857960,8857959,13010545,18328452,24819308,23187512,23187513,19791931,14176648,9745976,9745972,14176638,19791916,255541812,31749187,24238060,17862975,17862977,15463542,10692326,7063837,4447530,4447529,7063829,4487581,2696052,2696050,4487574,7128073,10788711,15595600,21626415,18234583,12934006,8798988,8798987,12934001,9797913,6440683,6440684,9797918,14254882,14924068,14605727,14605726,16776982,20339779,14597723,10044624,10044557,10044555,14596468,15808743,16225788,16225787,15225686,15225687,21188249,20826811,14928419,10265439,10265438,10391541,10391540,10354675,6819037,6817715,4844777,4844778,7656713,8331168,8331169,11013079,11013078,15312252,10575385,6975720,6975721,10575387,11510953,11510954,16505625,11501532,7650497,7650498,11501533,16505626,22709602,255640810,59669641,48282093,48282094,59669642,70709969,57993165,46617110,36729240,36729241,46617111,57993166,70709970,84261252,84261258,98155246,84261279,84261278,84261281,70709993,70709994,84261283,98155274,98155258,84261267,70709982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5240451, s2 = 7982333, dlinesl.size( ) = 12 s1 = 14115631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115631, s2 = 11277172, int(edited[s2]) = 0 s1 = 14115631, s2 = 11277172, d1 = 4, d2 = 6 Dl.O(d1) = 258069387,257458561,37381703,28841824,28841823,37381702,47291000,58682070,71415826,84989689,98915073,112903073,126755889,140105201,152798332,273104771,273532425,193284049,200440224,206484184,211480485,263892358,220734351,217686560,214034187,209585077,204161768,197660097,190023232,181168240,171074025,159767034,147421585 Dl.O(d2) = 171074022,159767032,147421587,134209532,257506992,257506990,159767036,171074026,181168243,190023235,259365446,171074027,181168247,181168246,181168247,259365444,171074026,181168239,171074022,171074021,181168238,190023230,261160960,171074022,171074021,181168237,190023228,181168241,171074025,159767034,159767033,159767037,171074027,181168245,190023227,190023228,181168241,171074025,159767034,147421585,134209531,120376529,255888796,43159959,34076100,30237211,30237212,38820646,255076400,72872112,86467487,99627511,85678196,72091116,72091117,270836257,127512942,260583932,165333572,176025580,185497102,263142160,273714934,264998215,264998212,207079382,201140796,263558880,177458211,262254678,142594918,129223584,115294943,101216366,87215260,74799982,62003468,50511904,40476735,31782110,24269366,17890230,12672105,8605755,8605757,12672108,17890234,24269368,31782111,40476737,50511905,62003470,70791213,58073982,255386790,28324150,28324149,22213575,16082055,16082058,22213578,29457541,24123670,24123669,31193169,31193170,39874767,43052283,37243335,37243334,29557476,22212316,22212317,29557477,38122918,257512503,269807927,85761367,95205684,81148237,67682083,55342295,257155766,40089885,50110442,61590496,74366917,87968999,101941528,115985865,129883245,143212799,155764828,167397206,177891844,187162222,195232529,202130786,207928568,212706812,216612724,265248065,265434253,226966346,228743582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115631, s2 = 11277172, dlinesl.size( ) = 2 s1 = 14115631, s2 = 11277172, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14115631, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 8878841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11487622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16223966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16223966, s2 = 6476000, int(edited[s2]) = 0 s1 = 16223966, s2 = 6476000, d1 = 1, d2 = 1 Dl.O(d1) = 142538296,134777143,134777142,147896284,160145917,160145915,147896282,260907023,106727535,92421600,78384073,65100120,53113188,257822719,78384076,92421598,106727534,120980214,134777135,147896279,160145911,171366174,181388627,190191545,197792335,204268618,209672274,214105978,217746472,220784710,223371199,225606845,225808135,223628628,221112893,264669690,210400874,205181218,198876753,191431335,182778823,182778822,182778828,182778827,262052516,161721819,149430141,136179031,122370157,107943866,93506604,79369655,66001293,53930682,43403894,34302677,268039386,254956342,14130038,10650487,10650488,9655988,6349385,3983827,2387632,2387630,3983817,2394776,2394778,3996175,6368570,9422321,6198768,3879828,3879829,3989729,6279403,6198491,3930535,2353118,1386472,788533,788536,1386451,1390063,1368442,1368445,2363414,2402022,2333811,2333814,3897024,6225060,5667195,3525353,2098142,254287313,5667198,8705397,254945565,9483621,13827832,13732833,11713140,11713141,16760218,19686516,14114505,255309077,24481618,18059260,13388640,13388639,18050326,19687918,19687919,26425265,34302678,256185006,66001294,79369656,66248966,54117605,54117606,66248967,79638433,78579217 Dl.O(d2) = 142538296,134777143,134777142,147896284,160145917,160145915,147896282,260907023,106727535,92421600,78384073,65100120,53113188,257822719,78384076,92421598,106727534,120980214,134777135,147896279,160145911,171366174,181388627,190191545,197792335,204268618,209672274,214105978,217746472,220784710,223371199,225606845,225808135,223628628,221112893,264669690,210400874,205181218,198876753,191431335,182778823,182778822,182778828,182778827,262052516,161721819,149430141,136179031,122370157,107943866,93506604,79369655,66001293,53930682,43403894,34302677,268039386,254956342,14130038,10650487,10650488,9655988,6349385,3983827,2387632,2387630,3983817,2394776,2394778,3996175,6368570,9422321,6198768,3879828,3879829,3989729,6279403,6198491,3930535,2353118,1386472,788533,788536,1386451,1390063,1368442,1368445,2363414,2402022,2333811,2333814,3897024,6225060,5667195,3525353,2098142,254287313,5667198,8705397,254945565,9483621,13827832,13732833,11713140,11713141,16760218,19686516,14114505,255309077,24481618,18059260,13388640,13388639,18050326,19687918,19687919,26425265,34302678,256185006,66001294,79369656,66248966,54117605,54117606,66248967,79638433,78579217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16223966, s2 = 6476000, dlinesl.size( ) = 2 s1 = 16223966, s2 = 6476000, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16223966, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14136752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136752, s2 = 9439886, int(edited[s2]) = 0 s1 = 14136752, s2 = 9439886, d1 = 7, d2 = 7 Dl.O(d1) = 261266518,109702085,95481008,259802915,123859492,273285598,269607464,44710394,44710395,271140348,261005187,262587519,273955142,272143437,259847233,261414700,261546004,20562051,14749904,14749905,20474617,20474614,27460792,27460794,27459746,20472079,14690166,14690167,20472161,21212127,21212126,27467462,28436898,36935833,35928025,35928029,45187786,53169010,53169011,65153387,69204641,257356591,35884123,45516310,56645247,69204645,82732401,96702082,110778387,114926403,100876462,259448050,73287324,270871906,84454186,259285619,112345776,126206058,139580774,152310142,164192964,175008349,184608669,184608668,184608667,192992022,200183647,206256183,211277153,215379894,215379895,218770137,265535311,221632397,221632398,224090011,226221415,228076956,229705172,231150052,230770452,229268487,227569459,225627374,223394655,220812330,217779610,214146640,209722104,204326825,197859479,190270902,190270901,190270903,197859481,204326829,209722105,264890399,217779611,265285099,217416117,213717354,209210267,264618769,197145488,189444432,180538480,170406072,159072389,146708899,133462459,119598667,105368262,259637105,77234500,258382867,41905344,32966001,25244141,18674070,13282015,13282014,18674068,25244139,21077092,21077089,28282157,36778215,46663502,58036117,70750355,84302021,98198294,112160961,261074395,262147421,162622797,150499212,137464338,123736898,109545150,95290344,258725734,55426941,44579947,35201827,27111950,20210815,20210813,14502844,9979581,6559271,4109293,2458064,2458063,4109291,6559267,9979574,14502840,17587456,12414205,8390530,5414419,3328279,3328281,5414426,8390546,12414236,17587500,23929400,31419542,40099542,50119964,61599534,258889085,74375664,87977382,95222772,81166353,67700649,55360764 Dl.O(d2) = 261266518,109702085,95481008,259802915,123859492,273285598,269607464,44710394,44710395,271140348,261005187,262587519,273955142,272143437,259847233,261414700,261546004,20562051,14749904,14749905,20474617,20474614,27460792,27460794,27459746,20472079,14690166,14690167,20472161,21212127,21212126,27467462,28436898,36935833,35928025,35928029,45187786,53169010,53169011,65153387,69204641,257356591,35884123,45516310,56645247,69204645,82732401,96702082,110778387,114926403,100876462,259448050,73287324,270871906,84454186,259285619,112345776,126206058,139580774,152310142,164192964,175008349,184608669,184608668,184608667,192992022,200183647,206256183,211277153,215379894,215379895,218770137,265535311,221632397,221632398,224090011,226221415,228076956,229705172,231150052,230770452,229268487,227569459,225627374,223394655,220812330,217779610,214146640,209722104,204326825,197859479,190270902,190270901,190270903,197859481,204326829,209722105,264890399,217779611,265285099,217416117,213717354,209210267,264618769,197145488,189444432,180538480,170406072,159072389,146708899,133462459,119598667,105368262,259637105,77234500,258382867,41905344,32966001,25244141,18674070,13282015,13282014,18674068,25244139,21077092,21077089,28282157,36778215,46663502,58036117,70750355,84302021,98198294,112160961,261074395,262147421,162622797,150499212,137464338,123736898,109545150,95290344,258725734,55426941,44579947,35201827,27111950,20210815,20210813,14502844,9979581,6559271,4109293,2458064,2458063,4109291,6559267,9979574,14502840,17587456,12414205,8390530,5414419,3328279,3328281,5414426,8390546,12414236,17587500,23929400,31419542,40099542,50119964,61599534,258889085,74375664,87977382,95222772,81166353,67700649,55360764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136752, s2 = 9439886, dlinesl.size( ) = 2 s1 = 14136752, s2 = 9439886, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14136752, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5153739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5405663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5405663, s2 = 11354804, int(edited[s2]) = 0 s1 = 5405663, s2 = 11354804, d1 = 15, d2 = 0 Dl.O(d1) = 223583139,221055924,264971278 Dl.O(d2) = 149173381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5405663, s2 = 11354804, dlinesl.size( ) = 14 s1 = 14727451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10270961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5068084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15139673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8796457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4418250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7358871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7358871, s2 = 6453909, int(edited[s2]) = 0 s1 = 7358871, s2 = 6453909, d1 = 12, d2 = 14 Dl.O(d1) = 265817308 Dl.O(d2) = 66376592,61170666,60036268,60036272,60967732,49540103,49540107,60967747,54754381,54754385,49526898,39573645,39573648,43533602,43533600,49535407,60960947,54534055,43804859,268536409,19767511,255723737,19760824,19760825,26553199,34523641,43770919,54484586,54072227,54072228,57667630,70357558,258410744,57667603,57667605,67409014,55077289,44244416,34886733,34886730,44244435,54256844,43617768,43617769,54256850,66168126,54429392,54429394,62539469,54517902,54517900,54519020,54519019,66761658,257926408,93869771,108242082,259834452,136517223,127263816,113405667,99404803,85463976,71879155,59140826,47742139,37819732,29254376,21933331,254652538,7268605,4583863,2757899,1598856,909048,909046,1598850,2757892,4581729,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,16300588,22469143,26601961,19795646,19795647,14184448,267816980,6411468,7883884,11803695,16872945,23133188,19796602,254962731,9748279,14180162,9751094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7358871, s2 = 6453909, dlinesl.size( ) = 2 s1 = 7358871, s2 = 6453909, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7358871, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 14127030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127030, s2 = 14246581, int(edited[s2]) = 0 s1 = 14127030, s2 = 14246581, d1 = 7, d2 = 9 Dl.O(d1) = 20702381,27815093,36203846,35807057,27551970,27551967,35807001,45404253,56495379,57219794,57219842,56386864,56386862,68900221,75847832,261578483,96127859,259480156,258233252,69639990,57026866,46182786,45160509,35640547,27444804,27444806,20600721,14775087,10241030,6729077,6729076,254994689,20779882,256194768,27660902,20600673,20600674,15055088,10380896,6840805,4292313,4292314,4292555,6841130,10381272,13316305,18709439,25282160,25282159,33007012,41949166,52289760,57358086,46077213,36283730,27870224,27870226,27642045,20605948,20566181,20566177,22751218,30136240,35891601,27765738,27759533,27481539,27481542,35692350,45229745,45541246,35902752,27863133,27863135,36092540,36092614,27739253,27739254,36092646,45812439,57026769,48237414,38327547,38327543,29757835,29757836,38327545,40911340,32133548,24552588,24552587,32133545,40911335,43849597,34577684,26590338,26590336,34577681,43849594,54594200,54594198,54594199,66853246,75420438,70430639,57736465,46386706,36526845,28060986,254899906,32928736,25212702,24090437,17732981,12546458,12546459,17732983,20290991,20290993,20913796,21585182,24150556,31661198,33686535,25880244,25880243,33686534,42716554,53166179,65150533,78432540,78432542,86163169,86163170,100129050,114162707,125222675,111363952,111363951,125222674,138593100,260254602,174093826,262916260,210881283,211802114,206862182,200883628,193800460,185540666,176076869,165395362,158403003,261402721,118955310,104761107,90586639,258993315,271525660,32661746,24987185,18464373,13117085,268485410,3641409,3641411,2176450,254144597,406353,228004,125608,68331,37034,20475,20474,37026,63683,61783,34547,34551,61798,112758 Dl.O(d2) = 258213277,87050452,101045550,115119022,129045771,115910048,101864079,87890535,74287876,61511176,257068011,40014299,31336012,23844085,17503092,12341821,8337979,5381641,3309318,1946844,1112156,254105891,346839,624094,1112155,1946840,2925747,4855018,4272629,2554579,2554581,4272294,2554348,1471384,1471385,1291423,1291425,2226585,3718328,5152932,5152851,3136854,1834109,1046682,1046684,1834117,2226145,2226147,3717639,4268735,6806326,10300329,6772802,4245114,2538118,2538116,4245109,5939013,3722195,2228736,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332804,597053,1061695,1061691,1860383,3178162,5209274,254830913,17194596,23476999,30913693,39524162,49457778,60860785,73610868,75806129,62842019,51192159,41036055,41036054,41036057,32243714,24645602,24645601,30084815,28258726,28165093,28165092,36640163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127030, s2 = 14246581, dlinesl.size( ) = 2 s1 = 14127030, s2 = 14246581, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14127030, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 11488970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488970, s2 = 14668682, int(edited[s2]) = 0 s1 = 11488970, s2 = 14668682, d1 = 135, d2 = 133 Dl.O(d1) = 210883303,215061311,218288350 Dl.O(d2) = 51200515,62849976,75813563,89595885,103711740,260203359,131693445,131693447,117865958,117865959,131693448,144941592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11488970, s2 = 14668682, dlinesl.size( ) = 24 s1 = 5169525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5169525, s2 = 2417263, int(edited[s2]) = 0 s1 = 5169525, s2 = 2417263, d1 = 11, d2 = 20 Dl.O(d1) = 215102373 Dl.O(d2) = 60708999,49306764,39379127,30777547,30777548,27128064,20223018,14511578,9985472,9985471,14511577,20223015,27128060,27128062,27128063,24598571,18151523,12871345,8753199,5698834,5698835,7000843,4399867,4399868,7000845,10609931,15357358,15665090,15665089,21706969,19287788,13788803,9454424,6198672,6198671,9454423,9528240,6250624,6250620,3952035,2366626,1370115,779988,779990,1369656,1370081,1369854,1369851,780379,780380,1370953,1356437,1356433,2330953,1381251,785784,785780,1381222,2385988,3981343,6345831,9651289,14037254,13384302,9148642,9148643,13384303,255659699,33111575,34601134,43871351,40941955,40941956,49999352,58744284,47356899,37450356,28910797,21636263,21636264,28910800,37450360,37450398,47356931,55329212,44483083,35106263,27020621,20129266,14436934,14436933,20129265,27020618,35106257,44483072,53329906,65327527,78624264,84716130,71146099,58424388,47049576,47049575,58424387,66005183,66005184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5169525, s2 = 2417263, dlinesl.size( ) = 2 s1 = 5169525, s2 = 2417263, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5169525, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 15447214, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15941495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15941495, s2 = 11605326, int(edited[s2]) = 0 s1 = 15941495, s2 = 11605326, d1 = 5, d2 = 29 Dl.O(d1) = 113641283 Dl.O(d2) = 266871567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15941495, s2 = 11605326, dlinesl.size( ) = 38 s1 = 5485783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16278765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4849785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7218162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16248044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8814035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8814035, s2 = 13823435, int(edited[s2]) = 0 s1 = 8814035, s2 = 13823435, d1 = 19, d2 = 13 Dl.O(d1) = 209210635,213717718,274374799,220501632,221951320,220501628,220501627,264208458,215402453,264494350,211742361,206794731,200806430,193710531,264208461,264751757,219128540,215785117,211742359,211742360,206794732,264494355,264983409,219128550,215785130,211742368,206794736,206794737,211742367,215785126,213717698,209210626,209210625,213717697,217416463,220501595,223125930,225393326,227364369,265663904,223125948,223125947,225393291,225393292,265502332 Dl.O(d2) = 265285129,217416483,217416482,217416481,220501623,223125949,224375146,224375147,225393335,223125938,223125939,225393337,224107859,224107858,225393277,223125944,223125925,220501591,217416460,217416461,217416478,213717709,213717708,217416476,217416487,215785128,213717703,209210627,264618807,217416464,217416483,217416482,217416481,220501623,265467831,225393344,225393291,223125887,220501592,217416460,217416461,217416478,213717709,213717708,217416476,217416487,215785128,213717703,213717702,209210628,209210623,264618805,213717676,264863369,220501560,223125892,225393298,274488021,227364365,225393320,223125924,220501591,217416460,217416461,217416478,213717709,213717708,217416476,217416487,215785128,213717703,213717702,209210628,203719234,197145888,189444827,189444826,197145885,203719223,209210616,213717675,213717674,217416429,220501553,223125886,225393281,223125877,223125876,223125881,225393287,227364340,225393340,223125940,223125939,225393338,227364378,265384196,227364360,229088300,265992088,265923566,225828092,274307416,218205220,218205221,221139654,223651537,225393295,265663900,213717698,209210626,203719229,197145887,189444827,189444826,197145885,203719223,209210615,213717680,217416438,220501565,274389206,265633533,225828091,226480402,226480401,228314145,226480394,224375140,274273653,274273655,224375142,223651545,223651544,223651540,223651541,225828097,227364389,227364388,227364372,265663896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8814035, s2 = 13823435, dlinesl.size( ) = 2 s1 = 8814035, s2 = 13823435, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8814035, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 8820289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4594420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5181384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5182197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5182372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5182372, s2 = 6904246, int(edited[s2]) = 0 s1 = 5182372, s2 = 6904246, d1 = 46, d2 = 36 Dl.O(d1) = 215509696,211419274 Dl.O(d2) = 259932936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5182372, s2 = 6904246, dlinesl.size( ) = 24 s1 = 8783396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8783396, s2 = 10285998, int(edited[s2]) = 0 s1 = 8783396, s2 = 10285998, d1 = 8, d2 = 38 Dl.O(d1) = 263106341,193226264,200385736,206433613,264732519,265177473,215524143 Dl.O(d2) = 234755764,235722039,274747637,238130593,266848475,266952303,239965580,239403195,266726931,236600828,235722046,266320519,232528446,232528445,266504577,236600826,235722044,234755769,274629527,231236952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 7709034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7709034, s2 = 11542956, int(edited[s2]) = 0 s1 = 7709034, s2 = 11542956, d1 = 21, d2 = 6 Dl.O(d1) = 273334751 Dl.O(d2) = 228904579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7709034, s2 = 11542956, dlinesl.size( ) = 20 s1 = 7296726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7296726, s2 = 11166012, int(edited[s2]) = 0 s1 = 7296726, s2 = 11166012, d1 = 16, d2 = 13 Dl.O(d1) = 265109904 Dl.O(d2) = 258444952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7296726, s2 = 11166012, dlinesl.size( ) = 2 s1 = 7296726, s2 = 11166012, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7296726, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 11496816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7221732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10228505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10228505, s2 = 5564005, int(edited[s2]) = 0 s1 = 10228505, s2 = 5564005, d1 = 7, d2 = 113 Dl.O(d1) = 47629323 Dl.O(d2) = 228335560,229943150,266115679,229943136,228335539,226503847,226503846,228335537,229943133,231369633,232647921,231369640,231369641,230893464,229416013,229416012,230893463,230383081,228825018,228825019,230383085,274607853,266003106,227752351,225856213,223682638,222694541,222694540,225028805,227056224,225028798,265258283,219976069,219976070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10228505, s2 = 5564005, dlinesl.size( ) = 2 s1 = 10228505, s2 = 5564005, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10228505, Dl.E( ) = 118, 3.81e-05 seconds used appending s1 = 15007921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15007921, s2 = 2290304, int(edited[s2]) = 0 s1 = 15007921, s2 = 2290304, d1 = 86, d2 = 11 Dl.O(d1) = 219072127,215722077 Dl.O(d2) = 61484104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15007921, s2 = 2290304, dlinesl.size( ) = 48 s1 = 15002963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15002963, s2 = 14217999, int(edited[s2]) = 0 s1 = 15002963, s2 = 14217999, d1 = 26, d2 = 25 Dl.O(d1) = 85446748,85446749,99387805,259164418,113388797,259791922,140593960,153275039,165090112,175816702,185323277,193616683,200724622,206721996,211676903,215726528,264687778 Dl.O(d2) = 185490366,176018250,165325040,262222938,113627280,99613120,85663896,258737076,47951614,38038200,29475345,22138578,16021664,11124142,254764664,2808266,1629149,1629148,2808263,4661362,7378412,11124127,16021640,22138539,29465544,22130702,16015832,16015833,22130704,29465546,38027654,47941329,59333112,48514189,48514188,59342874,49924313,49924312,53769505,43253262,38038113,30026678,22653389,16461300,16461299,22653385,30026670,38599534,48514186,48683175,38761439,30178233,22789343,22789344,30178236,38761441,48683177,48858106,268653339,255508111,16714337,22951106,30352835,38938778,48858101,59342945,47951613,38038199,29475343,22138577,16021663,11124142,8398417,5419560,5419561,5419562,3331600,1959372,1959371,1959373,3331602,5419564,8398423,12426005,17604135,23949939,29465543,22130702,16015832,16015833,22130704,29465546,38027654,47941329,59333112,48514189,48514188,59342874,49924313,49924312,53769505,43253262,38038113,30026678,22653389,16461300,16461299,22653387,30026672,38599536,39941301,39941302,49958294,50142469,48858106,268653339,255508111,16714337,22951106,30352835,38938778,257576739,47951612,38038198,29475343,22138577,22138576,29475342,38038197,47951610,269805595,85663893,99613115,113627272,127499642,140856149,140856150,150622889,150622888,140856146,127499641,113627271,113627272,127499642,140856149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15002963, s2 = 14217999, dlinesl.size( ) = 2 s1 = 15002963, s2 = 14217999, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15002963, Dl.E( ) = 28, 7.87e-06 seconds used appending s1 = 8811780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8811780, s2 = 11060464, int(edited[s2]) = 0 s1 = 8811780, s2 = 11060464, d1 = 10, d2 = 35 Dl.O(d1) = 264489719,215737668 Dl.O(d2) = 219086271,274344075,215737665,215737662,264579466,200738062,193631804,193631803,200738059,193631805,263264142,175835103,185339982,185339980,175835096,175835095,262369198,153296992,165110552,175835106,185339978,175835098,175835097,185339980,185339981,175835120,165110563,153297001,140617079,140617078,153296998,165110559,175835112,272912886,153296994,165110556,175835115,262839028,140617074,127271275,113412855,259539706,71886224,59148354,47749864,37827633,29262105,21940676,15852369,15852370,21940678,29262110,37827638,33216992,255201908,17885732,12668617,8603280,8603282,12668601,17885687,13825541,9481860,6217376,6217375,9481854,13825530,19333708,22392960,22392959,26677901,26677902,26169889,26169890,34011744,43069549,47812304,37890650,37890649,37827575,37827574,46706449,46706451,40469246,268449900,26627844,34617447,40469180,255341100,31421714,31421715,34617578,34617579,31758511,24246707,24246708,19816950,14415158,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637049,21675293,26627446,26627444,31759030,31759031,33301637,33301636,36824341,46706670,43052113,33993277,26151777,26151776,21993110,15895095,11018841,11018839,15894991,255274564,15894997,21992960,26159377,26158032,26158034,21379684,19233861,15608418,10798610,10798612,13926579,13926578,13926686,13926688,9558964,8094192,6272245,6272249,9558986,9542981,6260994,6260993,9542977,13905258,19433500,254658576,8913929,8913928,9882668,6493034,254315101,2434546,4068513,6493036,9882671,7348903,7348904,11073482,11073483,11057265,7331911,4631728,4631729,4633394,7334988,7335112,11062596,9204041,7346690,7346689,7347870,4640949,2795258,1621318,1621317,1621110,921852,921853,1621114,1619580,921212,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066809,11080049,11059174,11059173,15937545,22040029,22273690,29358604,22065908,22065910,29396305,33060912,25331839,254984962,24952255,18928181,13493798,9231799,6046078,3782930,2266091,1314535,750271,750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574555,11399541,16379484,18922281,22043186,25055343,25439207,25439204,29392399,33184457,34651627,43924939,54667506,66924037,80350294,94404674,108691853,122957335,136787784,149923636,162135400,173234888,163608489,151731799,139029325,125690834,260483621,259262729,70527511,57825394,46468737,256283623,20950232,15041397,10368615,6830995,4285659,2562232,2562231,4278589,4278588,6820582,10356534,15028811,20937004,20157685,17529012,268256027,31368070,33744357,25937287,22207705,16077006,11280064,7487849,7487850,11280068,16226509,22384448,29743671,37348584,47258053,58649864,71385083,84959789,98884656,112871614,126722632,262184927,263108347,184907045,193247259,264474653,215545034,218924893,221776513,224221014,274595243,228820712,274364446,265054148,263647808,178241563,262370180,88415681,88415680,74784006,258768308,8595122,6773360,5948168,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1861079,2759020,2759017,2759914,4587485,5210446,5210445,8132681,255154297,23480916,30917932,39528256,38780669,31062967,31062969,23583709,17271086,17271085,23583706,21197133,15232881,14036887,14036889,17842797,12635212,12635208,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,17309746,254549672,11546735,7682189,7682193,11546747,11546828,11546830,9688199,9688197,14084800,11837028,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,16644207,15159180,10454350,10454351,14087166,19653428,17120126,12030951,8088189,8088190,12030955,17120131,15159154,10454338,10454339,15159157,21103878,28314198,32394661,30823771,30823770,39428020,256447010,73510100,258180480,115205128,129136806,135936962,122008392,107633038,93229265,79112231,65755903,53698767,43186960,43186961,44633474,46937627,42292380,42292379,47965288,53090648,53090647,49976855,39960406,39960405,49976852,61454714,74233672,260713523,131314418,117518688,260188633,89304304,75548422,258692730,268459889,18078900,12817430,12817431,16246551,22410131,29773818,38344994,48255287,258139353,85970752,99928288,259088276,90620977,76754711,63662167,51866609,41576345,40837076,40837077,50967521,258945251 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4908792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5190898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5096206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7702537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7702537, s2 = 11031954, int(edited[s2]) = 0 s1 = 7702537, s2 = 11031954, d1 = 18, d2 = 25 Dl.O(d1) = 273119417,262758458 Dl.O(d2) = 268977288,36897664,36897663,46775611,268666006,70857557,255988682,36897664,254830358,15219213,10498151,6922556,6922555,10498148,12670252,12670255,17281374,254808738,254708436,72322407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7702537, s2 = 11031954, dlinesl.size( ) = 22 s1 = 7003705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7003705, s2 = 10278517, int(edited[s2]) = 0 s1 = 7003705, s2 = 10278517, d1 = 8, d2 = 21 Dl.O(d1) = 261217392 Dl.O(d2) = 231374227,231374239,231374236,264526432,263929168,219169390,215831049,215831048,219169389,221987756,224408113,226510053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7003705, s2 = 10278517, dlinesl.size( ) = 14 s1 = 10300587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7079207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5196175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5196175, s2 = 5675820, int(edited[s2]) = 0 s1 = 5196175, s2 = 5675820, d1 = 1, d2 = 7 Dl.O(d1) = 215936775 Dl.O(d2) = 231417681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5196175, s2 = 5675820, dlinesl.size( ) = 12 s1 = 9046318, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16131287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7224765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224765, s2 = 10360161, int(edited[s2]) = 0 s1 = 7224765, s2 = 10360161, d1 = 9, d2 = 15 Dl.O(d1) = 264232093,212033455,265000697,265398445 Dl.O(d2) = 235865380,235865381,235865389,235865388,235865390,236732841,266670454,232719959,231449926,230032429,230032430,230032428,228434615,228434614,230032426,266123589,274667554,232719957,232719956,266336595,266518087,236732842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224765, s2 = 10360161, dlinesl.size( ) = 6 s1 = 4125693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7322206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5106703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5106703, s2 = 14320821, int(edited[s2]) = 0 s1 = 5106703, s2 = 14320821, d1 = 10, d2 = 35 Dl.O(d1) = 212096326 Dl.O(d2) = 199235585,264418153,210635836,264919965,221240527,218323256,218323255,221240524,223739643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5106703, s2 = 14320821, dlinesl.size( ) = 2 s1 = 5106703, s2 = 14320821, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5106703, Dl.E( ) = 38, 2.22e-05 seconds used appending s1 = 5106808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5106808, s2 = 7337442, int(edited[s2]) = 0 s1 = 5106808, s2 = 7337442, d1 = 7, d2 = 4 Dl.O(d1) = 212100224,265005895 Dl.O(d2) = 265574850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5106808, s2 = 7337442, dlinesl.size( ) = 8 s1 = 7717083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7225642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7225642, s2 = 9049607, int(edited[s2]) = 0 s1 = 7225642, s2 = 9049607, d1 = 44, d2 = 25 Dl.O(d1) = 264242105,212129272,265008099,222204292,265576797,265480120,224919688,224919689,265099018,222572502,224919692,224919691,226676988,226676989,228488082,226676990,224598305,222572505,222204291,222204292,265576797,265480120,224919688,224919689,265099018,219839356,216601109,212694865,212694864,216601107,219839352,216601110,216601111,219839363,222572511,224919708,226958662,265547118,222204294,222204293,224598302,226676986,228488075,230079371,228736558,265298522,224919685,224598306,265576801,228488086,230079383 Dl.O(d2) = 202117682,262941148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7225642, s2 = 9049607, dlinesl.size( ) = 12 s1 = 11494564, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16243021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16243021, s2 = 14135281, int(edited[s2]) = 0 s1 = 16243021, s2 = 14135281, d1 = 30, d2 = 27 Dl.O(d1) = 73078094,60337954,48940476,39017255,255955899,16781765,11733817,254807995,254371295,1744274,991115,557436,311678,311679,172265,94764,94763,94765,52294,29432,29431,52292,267737439,311676,557435,991114,1744273,3003560 Dl.O(d2) = 216135870,212153930,207279629,201368633,194344289,272890088,166095824,154347088,141695378,128346234,114469469,100445149,86488030,72892970,60157022,48763248,38843651,30259836,255151874,16636780,11605204,7725552,4890012,4890013,7725553,11605206,16636782,22863944,30259838,38843652,257569289,60157024,269802731,37890529,29322639,254935570,11019046,7294723,4600347,4600346,7294720,11019043,15895441,20045728,18696877,18696876,22835362,22835363,30226949,38809637,41759371,256659722,63889889,76999898,87907459,74303557,257210346,31346146,23852781,17510160,12347373,254928346,5384429,3311077,3311079,5384433,8342164,12347389,8384237,7903124,5023770,254559929,11825706,15308483,10571966,10571968,15297627,13524751,13524753,13503015,9238520,9238519,12640530,8582740,5576913,5576914,6963847,4375078,4375077,6963845,10558630,8387275,5412293,3327002,1956567,1956564,3326986,5405447,5405450,8375641,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692009,17914360,17914394,17569847,17569846,23912688,23746348,22879670,21934817,15847194,15847195,13682984,13682983,19161663,25809560,255433387,10953249,10953250,15806796,21882752,22879586,16651230,16651231,12347370,8342152,8342153,12347371,13884449,13884450,19257874,13762099,13762098,9438885,6305093,6186662,3871632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16243021, s2 = 14135281, dlinesl.size( ) = 2 s1 = 16243021, s2 = 14135281, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16243021, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 14135282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4634608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8731187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8731187, s2 = 13792762, int(edited[s2]) = 0 s1 = 8731187, s2 = 13792762, d1 = 3, d2 = 20 Dl.O(d1) = 207410704 Dl.O(d2) = 186374961,264534655,216226697,219512517,264873946,207410704,207410705,207410715,201527161,194536451,264253269,212262505,207410672,207410671,212262503,212262555,207410731,201527177,263588199,186374968,194536465,201527180,207410687,207410688,212262521,212262573,216226714,219512536,222288458,224671960,222288436,219512501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8731187, s2 = 13792762, dlinesl.size( ) = 2 s1 = 8731187, s2 = 13792762, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8731187, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 16277495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16339315, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7227353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7227732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15729617, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14645355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8611096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7718062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4911310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4911310, s2 = 13978326, int(edited[s2]) = 0 s1 = 4911310, s2 = 13978326, d1 = 1, d2 = 4 Dl.O(d1) = 207944368,202149521,202149522,264819191,216626335 Dl.O(d2) = 274184008,195255303,187190788,187190787,195255300,202149520,264289849,263856460,177927372,167440523,167440524,177927373,177927375,187190787,195255300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 5217987, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14150843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7230949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7230949, s2 = 7292216, int(edited[s2]) = 0 s1 = 7230949, s2 = 7292216, d1 = 7, d2 = 9 Dl.O(d1) = 264302625 Dl.O(d2) = 265054279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7230949, s2 = 7292216, dlinesl.size( ) = 12 s1 = 7292306, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5222190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5223098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5223098, s2 = 7851106, int(edited[s2]) = 0 s1 = 5223098, s2 = 7851106, d1 = 44, d2 = 36 Dl.O(d1) = 216791973,263999278,208168930 Dl.O(d2) = 254195290,254108854,8892537,5800936,3617923,2160457,2160458,3608805,2154445,1282586,1282583,1284937,1284934,2214068,254142300,267805798,18648405,254890760,255616770,64025265,77160739,269447912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5223098, s2 = 7851106, dlinesl.size( ) = 2 s1 = 5223098, s2 = 7851106, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5223098, Dl.E( ) = 50, 1.29e-05 seconds used appending s1 = 7746787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7746787, s2 = 6659470, int(edited[s2]) = 0 s1 = 7746787, s2 = 6659470, d1 = 132, d2 = 83 Dl.O(d1) = 274287524,216803169,216803170 Dl.O(d2) = 272248128,116772806,259474230,75021252,62200192,257037732 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14758009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14758009, s2 = 5225041, int(edited[s2]) = 0 s1 = 14758009, s2 = 5225041, d1 = 0, d2 = 4 Dl.O(d1) = 32099457 Dl.O(d2) = 216884650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14758009, s2 = 5225041, dlinesl.size( ) = 2 s1 = 14758009, s2 = 5225041, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14758009, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11463118, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7153561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7153561, s2 = 7240117, int(edited[s2]) = 0 s1 = 7153561, s2 = 7240117, d1 = 9, d2 = 10 Dl.O(d1) = 263290719,264319459 Dl.O(d2) = 264931607,264431925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7153561, s2 = 7240117, dlinesl.size( ) = 2 s1 = 7153561, s2 = 7240117, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7153561, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 7254849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7254849, s2 = 7447021, int(edited[s2]) = 0 s1 = 7254849, s2 = 7447021, d1 = 40, d2 = 46 Dl.O(d1) = 264609106 Dl.O(d2) = 267009522,240670653,240165522,239619695,266742292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7254849, s2 = 7447021, dlinesl.size( ) = 2 s1 = 7254849, s2 = 7447021, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7254849, Dl.E( ) = 56, 2.1e-05 seconds used appending s1 = 5134221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14803543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8599642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15077324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8737733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8737733, s2 = 13820037, int(edited[s2]) = 0 s1 = 8737733, s2 = 13820037, d1 = 167, d2 = 205 Dl.O(d1) = 189092114,196841910,203472211,209024413,213582057,265081377 Dl.O(d2) = 265257750,221206173,221206172,218281438,214800444,210570529,205392861,199135278,191735842,183129887,263425727,199135277,205392859,210570525,264918089,221206153,218281416,214800426,214800427,218281386,218281389,221206120,218281446,214800451,214800452,218281451,221206175,219970260,219970262,265443092,221206170,221206171,223711198,265507681,265611018,223711153,221206103,218281375,218281374,274390981,223711172,221206139,218281405,214800423,210570516,205392854,205392855,264679383,218281413,265257742,221206140,218281409,218281410,221206146,223711180,225880967,223711181,221206151,265257744,214800444,210570529,210570528,214800441,214800445,265054142,265133797,223711178,223711179,223711215,225880966,225880965,265764444,265611018,223711153,221206103,221206104,221206183,218281442,214800450,214800452,218281451,221206177,221206178,223711205,225880985,227773541,265764446,225880994,223711213,223711215,225880966,223711174,221206141,265054138,218281410,221206146,221206191,218281454,218281453,274215686,214800455,210570534,210570532,214800432,210570522,210570521,214800431,218281427,221206163,223711195,225880977,225880949,225880948,225880956,265257740,218281412,218281411,221206137,218281403,214800422,210570515,205392853,199135274,191735840,191735841,199135276,205392857,210570504,210570505,214800407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8737733, s2 = 13820037, dlinesl.size( ) = 54 s1 = 5232115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5232115, s2 = 3286611, int(edited[s2]) = 0 s1 = 5232115, s2 = 3286611, d1 = 20, d2 = 24 Dl.O(d1) = 217335960 Dl.O(d2) = 273151432,105049042,259005737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5232115, s2 = 3286611, dlinesl.size( ) = 32 s1 = 5140377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14193837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16121180, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7300755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14696205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8760217, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7268886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7268886, s2 = 10248562, int(edited[s2]) = 0 s1 = 7268886, s2 = 10248562, d1 = 18, d2 = 21 Dl.O(d1) = 264779416,213781117 Dl.O(d2) = 197249832,189558833,180658122,261762558,260039336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7268886, s2 = 10248562, dlinesl.size( ) = 2 s1 = 7268886, s2 = 10248562, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7268886, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 7234444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14969929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13792761, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5148414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16277291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7152587, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5790803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5790803, s2 = 8291006, int(edited[s2]) = 0 s1 = 5790803, s2 = 8291006, d1 = 7, d2 = 18 Dl.O(d1) = 234397966,274617507,230757355,274552984,220786851,217748576 Dl.O(d2) = 78392331,269527729,42672864,256156451,13702711,9385153,6411750,4022365,4022363,6411424,4022184,4019895,4019894,6407503,9744455,9985445,6563044,6563043,9985438,14511525,20222927,20222924,24120885,17759580,17759581,12588201,8540452,8540453,12588206,17785687,17760682,12567887,12567886,17760678,24122254,17760615,12567862,12567861,14551806,10012951,6581126,4123350,4123351,6581130,9749937,14182773,19800329,21901332,27208852,22053688,22053687,23800050,23800049,30036876,22661452,16467193,11473523,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525998,21542651,28810346,29381452,29381455,27157799,27157801,35256793,27158282,255072842,9997054,9997053,14528599,20246541,18986242,13548573,13548572,18986240,25596179,268750721,37838747,256912147,255911041,11297840,11297841,12646632,11297816,11297817,11297917,11297874,11297875,8220593,8220592,8220657,8220654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5790803, s2 = 8291006, dlinesl.size( ) = 18 s1 = 11507754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507754, s2 = 12272240, int(edited[s2]) = 0 s1 = 11507754, s2 = 12272240, d1 = 90, d2 = 57 Dl.O(d1) = 265488917,220803677,217769358,214134197,214134196,217769356 Dl.O(d2) = 78444473,259700583,78444477,78444478,258947698,257125570,256065370,19232089,25891386,33697362,42727215,257826401,65161574,53176763,53176764,65161576,78444479,258947696,53176765,257125572,256065370,255216566,6167752,254427050,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,3734299,3734298,5971430,9125450,13353439,17955860,13367075,13367076,18770597,254645970,21326296,15354332,10607324,6998807,4398426,2635615,2635616,4398427,6998808,10607325,12816377,8714008,5672399,5672400,8714012,12816393,18077736,18200941,12909946,12909945,14545734,10008085,6577220,4120430 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7236778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5244906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5244906, s2 = 14150744, int(edited[s2]) = 0 s1 = 5244906, s2 = 14150744, d1 = 36, d2 = 86 Dl.O(d1) = 217861185 Dl.O(d2) = 235019716,266527539,266736742,266605615,238317658,238965051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5244906, s2 = 14150744, dlinesl.size( ) = 12 s1 = 7314618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7314618, s2 = 11431576, int(edited[s2]) = 0 s1 = 7314618, s2 = 11431576, d1 = 15, d2 = 10 Dl.O(d1) = 265317733 Dl.O(d2) = 264424262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7314618, s2 = 11431576, dlinesl.size( ) = 14 s1 = 8763153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15659339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10237541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5301125, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7237950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6939324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6939324, s2 = 9132046, int(edited[s2]) = 0 s1 = 6939324, s2 = 9132046, d1 = 154, d2 = 219 Dl.O(d1) = 260363653,136360224,262555327,182959205,191592449,264408567 Dl.O(d2) = 192518038,199795504,200164246,192970966,184585917,174983683,261178762,259383500,84422715,70865312,58151243,46783693,46783692 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8792226, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7174164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7174164, s2 = 6651686, int(edited[s2]) = 0 s1 = 7174164, s2 = 6651686, d1 = 10, d2 = 21 Dl.O(d1) = 263574644 Dl.O(d2) = 176660682,166019518,154266821,141611019,128260575,128260574,114384142,100360637,86404354,256962446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7174164, s2 = 6651686, dlinesl.size( ) = 2 s1 = 7174164, s2 = 6651686, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7174164, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 8816974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4228914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14983777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13906125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14741061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14741061, s2 = 11255966, int(edited[s2]) = 0 s1 = 14741061, s2 = 11255966, d1 = 10, d2 = 6 Dl.O(d1) = 183108067,183108059,183108058,191714410,191714421,191714423,199114545,264414333,199114541 Dl.O(d2) = 263791011,264414335,210553538,214786244,218269210,221195117,223701142,225872500,227007370,224974093,265252703,265048848,215781498,211738015,263639252,273168164,175943544,165240492,153440835,260141982,113535355,99524326,85577665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14741061, s2 = 11255966, dlinesl.size( ) = 2 s1 = 14741061, s2 = 11255966, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14741061, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 9589752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7238710, s2 = 13758122, int(edited[s2]) = 0 s1 = 7238710, s2 = 13758122, d1 = 103, d2 = 163 Dl.O(d1) = 264416827 Dl.O(d2) = 231418685,232691768,233842267,234889680,235843882,236712759,237504533,238147867,266585945,235743058,234777966,233718563,232553834,231264315,229826834,228208621,226365950,224250067,221809534,218964359,215593362,211514530,206523083,200483497,193332060,184998928,262671999,152863793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7238710, s2 = 13758122, dlinesl.size( ) = 38 s1 = 7245584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7245584, s2 = 8538150, int(edited[s2]) = 0 s1 = 7245584, s2 = 8538150, d1 = 34, d2 = 36 Dl.O(d1) = 264495022,263890050 Dl.O(d2) = 185446150,183271433,183271432,262700720,191847675,183271433,173463351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7245584, s2 = 8538150, dlinesl.size( ) = 30 s1 = 7140700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8720681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8720681, s2 = 7779807, int(edited[s2]) = 0 s1 = 8720681, s2 = 7779807, d1 = 71, d2 = 64 Dl.O(d1) = 199366762,264428291 Dl.O(d2) = 234604976,235585505,266573555,238034539,274828160,240423152,240911413,267183067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8720681, s2 = 7779807, dlinesl.size( ) = 2 s1 = 8720681, s2 = 7779807, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8720681, Dl.E( ) = 88, 2.69e-05 seconds used appending s1 = 5166760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5166760, s2 = 4572596, int(edited[s2]) = 0 s1 = 5166760, s2 = 4572596, d1 = 7, d2 = 19 Dl.O(d1) = 214965877 Dl.O(d2) = 205611438,199386905,192030061,183478213,262587779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5166760, s2 = 4572596, dlinesl.size( ) = 16 s1 = 11449184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4717397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8605229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7241601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7241601, s2 = 6921830, int(edited[s2]) = 0 s1 = 7241601, s2 = 6921830, d1 = 11, d2 = 6 Dl.O(d1) = 264451189 Dl.O(d2) = 260118244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7241601, s2 = 6921830, dlinesl.size( ) = 2 s1 = 7241601, s2 = 6921830, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7241601, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 7196145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5176039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16326337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7308857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15566454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15566454, s2 = 5267619, int(edited[s2]) = 0 s1 = 15566454, s2 = 5267619, d1 = 1, d2 = 3 Dl.O(d1) = 164190959,152307879,257425130,273326623,152307880,139578267,126203220,112342842,112342841,109823608,109823609,112353350,98371220,98371219,112353349,112516635,112342843,98360398,84450735,70893841,58179763,46812530,36934209,28435402,27992088,27992087,25017460,18487603,13134235,13134233,18487600,25017455,28434905,28434906,21210944,15244081,254723905,6935292,6935259,6935260,10516400,15243980,21210637,21210636,15243897,15243896,21210693,21210543,15243802,15243803,21210546,28434684,21210411,21210410,25295205,28435229,36933806,36933805,36933849,36933782,28435027,28435028,36933784,46812105,36933787,28435132,28434900,28434901,32494130,24852214,18355911,13032519,13032520,18355915,15243961,10516388,10516387,15243956,21210780,21221977,21221979,28448437,36948518,46811897,36933517,36933518,36933582,28434807,21210515,15243788,10516292,10516291,255816975,28434858,36933640,46811991,36933725,28434975,21210616,21210617,28434979,36933731,36948521,46812071,36933756,36933755,36934022,268914031,256846516,41341610,36933961,28435192,28435191,28435196,255817904,28435203,21210793,21210794,28435204,36933969,46811945,36933571,28434799,21210508,21210509,28434801,28434839,28434838,36933627,46811985,36933720,28434971,21210614,15243841,10516320,10516321,15243846,21210368,15243991,15243992,21210836,28435173,21210769,15243951,15243952,21210773,28435177,36933955,46811757,39445499,36933399,28434614,28434615,36933402,46811782,46812280,36933988,36933986,43903203,43903204,46812285,46812253,46812252,46812042,41341562,41341563,51563793,46811975,36933621,28434834,28434833,34666114,28434795,25381134,25381132,33116359,36933978,36933977,46812275,46812036,256846466,36933710,36933423,28434640,28434639,28435247,28435248,36933239,46811620,46812310,58179513,60775512,49373949,46812248,46811732,46811731,58179059,58179082,268914376,48110948,48110956,58179314,58179315,66903122,66903121,257067030,48110952,48110953,42468979,33475453,29632958,22280879,22280878,29632955,38199722,48110980,51563805,58179304,48110987,38199728,38199727,34630595,26640423,19828187,19828186,16137184,16137183,22280881,29632963,38199738,38199697,38199696,33475452,33344498,25584769,19828002,19828003,25702189,19075921,13618709,13618708,19075917,25702180,33475467,27192563,27192564,35312278,42300353,42300354,36933382,36933338,29632907,22280852,16137168,16137170,22280858,29632922,34630265,43902812,52872747,43902785,34630237,26640163,19828031,19828030,19828165,26640251,19828085,14203826,14203825,19828079,26640242,26640176,19828041,14203797,9764284,9764283,9764314,9764315,14203866,19828155,26640365,34630509,43902678,34630128,34630112,26640098,26640097,33475420,25702156,255286264,42468943,43903191,34630573,34630571,43903188,257481904,80330246,84462041,258034786,109823605,95618663,81584601,81584602 Dl.O(d2) = 256901976,71032245,58316376,255866186,84596700,257481902,258091988,139763116,259960534,164351675,272199364,184722078,193085170,262684978,211336461,215432595,218817651,219179059,215841882,211806740,206867001,200888574,200888575,206867002,200888577,193805313,185545836,262807622,153621715,153621716,165401825,176082753,185545837,193805314,200888579,206867004,211806743,215841883,219179061,221996313,224415615,226517003,228347862,229954509,231379853,232657261,233811427,233811428,232657262,266228335,234861492,235818068,274749847,237482840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15566454, s2 = 5267619, dlinesl.size( ) = 2 s1 = 15566454, s2 = 5267619, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15566454, Dl.E( ) = 6, 2.29e-05 seconds used appending s1 = 8705262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13798341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15909309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15909309, s2 = 11091542, int(edited[s2]) = 0 s1 = 15909309, s2 = 11091542, d1 = 0, d2 = 0 Dl.O(d1) = 77265059,64118073,52269003,52269004,64118074,73397803,87013351,101006863,115077942,129004750,142380261,155027797,166727084,263599137,264262135,264542823,216321095,219595411,222361455,224736007,274472909,265786618,221993927,219176425,215838980,211803708,206863720,200885020,193801667,185541814,176078088,176078087,176078086,165396636,153616047,140949402,127600160,271025900,258387582,48038429,38125206,29559706,22214194,16082570,11168874,7409691,7409692,11168879,16082577,12395669,8385770,8366764,5399937,3320212,3320211,1955374,1955373,3324410,5023373,7902538,267899859,5023402,5407709,4874465,4874466,7701919,6048986,6048987,9235909,13499548,254531718,21934731,17383048,254927570,23701272,23701344,17379036,14963309,10295723,6768697,6768696,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,8280084,12260623,12260644,17397947,23721805,29673999,22322856,22322857,23717587,23717586,23704926,17382100,17382101,16345169,11373156,7555689,7555690,11373158,16345172,22518553,17456694,12306323,8312172,8312173,12267256,8284088,5344354,5344355,8284053,8515786,8515782,10709112,10709113,268208943,21492403,28752095,37286509,47195066,258063507,84893767,98820790,112811969,126669015,140022110,152716741,164554485,175318480,184871044,193213094,200373510,206422977,211426459,215516872,218896747,221750251,224198785,226321998,265303228,224569926,222173332,219382254,264070884,207211747,207211748,212092392,216079427,216079430,212092393,207211751,207211750,201293767,194262308,186053375,176636236,165994275,154239842,141582032,128230179,114351254,100324234,86364410,72767383,60030432,48637491,38719602,30140019,22754219,22754218,26676062,34669272,257291041,43943461,54685976,66942343,80367912,94421476,108708536,122974012,122974013,136804948,136804949,128851967,114951425,100898704,86918083,73307722,60564309,49164651,39237844,30639747,23216534,16944321,11859054,7925692,7925691,7925702,268100417,16944352,16944353,14916394,10256894,6739958,6739957,10256890,268196019,27975799,36434592,39237893,30639794,23216572,16944345,16944344,23216570,16944380,11859086,11859085,16944379,16944334,11859060,11859061,16944336,23216559,30639779,23382811,17112288,16944343,16944342,23216568,30639792,39237892,256845084,39237912,39237911,39237883,36993237,30639746,23216533,20812271,14916392,14916391,12025362,12025361,17112268,23382779,255147957,12025360,17112266,23382777,30811326,23382799,17112281,17112280,268427765,23216515,16944308,11859045,255138227,23216518,30639737,39237829,30811336,30811337,39416426,39416430,39416429,49345927,49345920,39416417,30811375,23382819,17112292,17112293,23382822,30811382,39416476,44420898,54653247,46287629,36434601,27975806,27975807,30811393,30811394,39416486,49345984,60564255,60564282,60564280,49164676,39237871,39237870,49164674,49345914,60748839,60748849,49345940,49345942,43411616,43411617,49164619,39237818,39188365,39188367,49116946,49164526,39237824,30639734,30639735,39237826,36434597,36434596,46287624,268830664,39416420,39416419,256190806,39237762,46287615,256490688,51607913,49164557,39237756,30639691,30639690,39237753,38135232,255895241,16089759,11174896,11174895,16089756,22222512,29569028,38135223,48048692 Dl.O(d2) = 77265059,64118073,52269003,52269004,64118074,73397803,87013351,101006863,115077942,129004750,142380261,155027797,166727084,263599137,264262135,264542823,216321095,219595411,222361455,224736007,274472909,265786618,221993927,219176425,215838980,211803708,206863720,200885020,193801667,185541814,176078088,176078087,176078086,165396636,153616047,140949402,127600160,271025900,258387582,48038429,38125206,29559706,22214194,16082570,11168874,7409691,7409692,11168879,16082577,12395669,8385770,8366764,5399937,3320212,3320211,1955374,1955373,3324410,5023373,7902538,267899859,5023402,5407709,4874465,4874466,7701919,6048986,6048987,9235909,13499548,254531718,21934731,17383048,254927570,23701272,23701344,17379036,14963309,10295723,6768697,6768696,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,8280084,12260623,12260644,17397947,23721805,29673999,22322856,22322857,23717587,23717586,23704926,17382100,17382101,16345169,11373156,7555689,7555690,11373158,16345172,22518553,17456694,12306323,8312172,8312173,12267256,8284088,5344354,5344355,8284053,8515786,8515782,10709112,10709113,268208943,21492403,28752095,37286509,47195066,258063507,84893767,98820790,112811969,126669015,140022110,152716741,164554485,175318480,184871044,193213094,200373510,206422977,211426459,215516872,218896747,221750251,224198785,226321998,265303228,224569926,222173332,219382254,264070884,207211747,207211748,212092392,216079427,216079430,212092393,207211751,207211750,201293767,194262308,186053375,176636236,165994275,154239842,141582032,128230179,114351254,100324234,86364410,72767383,60030432,48637491,38719602,30140019,22754219,22754218,26676062,34669272,257291041,43943461,54685976,66942343,80367912,94421476,108708536,122974012,122974013,136804948,136804949,128851967,114951425,100898704,86918083,73307722,60564309,49164651,39237844,30639747,23216534,16944321,11859054,7925692,7925691,7925702,268100417,16944352,16944353,14916394,10256894,6739958,6739957,10256890,268196019,27975799,36434592,39237893,30639794,23216572,16944345,16944344,23216570,16944380,11859086,11859085,16944379,16944334,11859060,11859061,16944336,23216559,30639779,23382811,17112288,16944343,16944342,23216568,30639792,39237892,256845084,39237912,39237911,39237883,36993237,30639746,23216533,20812271,14916392,14916391,12025362,12025361,17112268,23382779,255147957,12025360,17112266,23382777,30811326,23382799,17112281,17112280,268427765,23216515,16944308,11859045,255138227,23216518,30639737,39237829,30811336,30811337,39416426,39416430,39416429,49345927,49345920,39416417,30811375,23382819,17112292,17112293,23382822,30811382,39416476,44420898,54653247,46287629,36434601,27975806,27975807,30811393,30811394,39416486,49345984,60564255,60564282,60564280,49164676,39237871,39237870,49164674,49345914,60748839,60748849,49345940,49345942,43411616,43411617,49164619,39237818,39188365,39188367,49116946,49164526,39237824,30639734,30639735,39237826,36434597,36434596,46287624,268830664,39416420,39416419,256190806,39237762,46287615,256490688,51607913,49164557,39237756,30639691,30639690,39237753,38135232,255895241,16089759,11174896,11174895,16089756,22222512,29569028,38135223,48048692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15909309, s2 = 11091542, dlinesl.size( ) = 2 s1 = 15909309, s2 = 11091542, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15909309, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 7243919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5273105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5273105, s2 = 14544250, int(edited[s2]) = 0 s1 = 5273105, s2 = 14544250, d1 = 41, d2 = 50 Dl.O(d1) = 218967732 Dl.O(d2) = 8301300,12291624,12285897,8297057,8297055,8296977,8296975,12285771,8302802,5356930,5356932,5356916,3292769,3292768,5356910,8302762,8308223,5360730,5360732,8308231,12300768,8308021,5360616,3295341,3295343,5360623,8308036,8297065,5352505,5352504,7763288,8297087,5352515,5352514,8297081,12285936,12559726,12559727,12245715,8302788,8302789,12291690,12291689,12293749,8303237,5357308,3293067,1936710,1936711,3289562,1934479,1104951,1104950,1934475,3289555,5352472,8296996,8302745,8302744,10711550,7076490,7076489,10711544,15489824,17450329,12301104,12301106,11651290,7763269,7763271,11651298,11651343,11651340,10897533,10897536,15734606,12285840,254080298,267746104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5273105, s2 = 14544250, dlinesl.size( ) = 2 s1 = 5273105, s2 = 14544250, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5273105, Dl.E( ) = 66, 2.19e-05 seconds used appending s1 = 9155373, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9439887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15713885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7303402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7303402, s2 = 12859228, int(edited[s2]) = 0 s1 = 7303402, s2 = 12859228, d1 = 18, d2 = 24 Dl.O(d1) = 265188561 Dl.O(d2) = 234216462,233100573,231866061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7303402, s2 = 12859228, dlinesl.size( ) = 26 s1 = 13832893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13832893, s2 = 10813310, int(edited[s2]) = 0 s1 = 13832893, s2 = 10813310, d1 = 110, d2 = 103 Dl.O(d1) = 221903254,264630496,211675312,264359524,211675317,215725147,264874370,224331133,226438693,265476350,224331134,265094772,264630498,211675322,211675321,215725151 Dl.O(d2) = 258153787,48458473,38546184,38546185,48458476,59849220,72587190,59849224,59849225,59849238,48458493,38546197,29977342,29977343,38546199,48458495,48458481,38546188,29977339,22610604,16426353,16426354,255923487,38546195,38546192,29977341,29977340,38546190,48458483,48458472,38546183,29977336,29977337,38546185,48458476,59849220,72587190,59849224,59849225,59849238,48458493,48458492,48458485,48458484,59849226,72587200,86184881,100147805,114178157,128065022,128065028,261198169,128065024,114178158,100147806,86184884,86184883,86184873,86184872,72587209,59849233,48458489,38546194,38546195,48458486,59849230,72587205,258777693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13832893, s2 = 10813310, dlinesl.size( ) = 28 s1 = 8732226, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14136696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8750071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10359040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359040, s2 = 11060506, int(edited[s2]) = 0 s1 = 10359040, s2 = 11060506, d1 = 192, d2 = 157 Dl.O(d1) = 264278071,265240395,219988054,219197319 Dl.O(d2) = 33608163,33608164,42633526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10359040, s2 = 11060506, dlinesl.size( ) = 42 s1 = 13756551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15993106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8771963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8771963, s2 = 6072913, int(edited[s2]) = 0 s1 = 8771963, s2 = 6072913, d1 = 25, d2 = 18 Dl.O(d1) = 128023919,141392676,154067096,165836676,176492312,185922370,194144037,201186282,207115564,212005972,216002357 Dl.O(d2) = 241037508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8771963, s2 = 6072913, dlinesl.size( ) = 2 s1 = 8771963, s2 = 6072913, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8771963, Dl.E( ) = 38, 9.06e-06 seconds used appending s1 = 7247190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5198627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5200827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8643680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8643680, s2 = 11428174, int(edited[s2]) = 0 s1 = 8643680, s2 = 11428174, d1 = 194, d2 = 299 Dl.O(d1) = 264195914,201293981,194262583,186053716,186053717,193477179,193477180,200608870,264482891,215656714,219016317,264973954,264482874,207211901,201293929,194262550,194262551,201293933,207211911,212092524,216079587,216079704,264741184,212092704,212092612,264482906,264973986,219382447 Dl.O(d2) = 159398654,170746804,180886244,263719523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8643680, s2 = 11428174, dlinesl.size( ) = 120 s1 = 9607576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9607576, s2 = 15063984, int(edited[s2]) = 0 s1 = 9607576, s2 = 15063984, d1 = 27, d2 = 18 Dl.O(d1) = 196850466,203479360,203479356,196850463,196850462,203479354,209030267,213586757,217318470,220426303,223066162,225343197,224575988,222179990,219389587,216087032 Dl.O(d2) = 30259041,22863285,16636247,11604787,7725284,7725283,5202254,3173869,3173870,5202256,8120210,5608649,5608648,8625917,7627794,4826078,2908337,1687201,1687200,2908332,4826070,5202550,7725061,4889743,4889744,4889802,2946709,1709019,971492,547164,306428,306427,547174,971512,1709056,2946801,4889967,7725462,5610870,5201805,5201802,8119689,7725133,4889779,2946695,2946694,3174329,3174328,3481247,2066355,254140377,666278,1186080,2066350,3481243,5606274,8622184,5605804,3480844,3480843,3483077,5608674,7627756,4826051,4826050,7627752,5010128,3029432,3029434,5010136,7888588,11809890,8622820,5606217,5606215,7725388,4889917,2946776,2946778,2946729,2946730,4889835,7725232,8628818,5610916,5610915,5610897,5610896,8628724,11604989,8617474,8617475,12686534,12693249,12693248,12687701,12687700,17909056,12693229,12693230,12693197,8622918,5606288,5606287,8622916,12693195,17915891,23140251,23140250,21656483,19645272,19645271,23697882,254422688,30555362,23137927,16877661,16877662,13358924,9129810,9129809,13358923,18760503,21267436,15305931,254727449,4379645,2622973,2622974,4366223,2616247,2616248,2616868,3168533,5192587,6841374,6841375,9254535,13521021,9252773,6059914,3791635,2271336,1317314,1317312,1317913,1317912,2272504,3792624,3792623,3793709,3793712,254654427,10797850,7134440,7134441,10797852,15270629,13523510,13523511,13523523,13523526,17159768,12063291,8111286,8111285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9607576, s2 = 15063984, dlinesl.size( ) = 20 s1 = 7387542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5289003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8772939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8772939, s2 = 7861042, int(edited[s2]) = 0 s1 = 8772939, s2 = 7861042, d1 = 83, d2 = 56 Dl.O(d1) = 260041219,261217539,154339341,262752587,262796258,154339341,166088550,273364395,194338872,201363873,264526489,216132480,219431587,219431583,216132477,265009523 Dl.O(d2) = 4419337,4419338,7026023,10642137,10642139,7053267,7053266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8772939, s2 = 7861042, dlinesl.size( ) = 36 s1 = 16232990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16232990, s2 = 11480274, int(edited[s2]) = 0 s1 = 16232990, s2 = 11480274, d1 = 11, d2 = 8 Dl.O(d1) = 164662912,164662911,175421324,184965762,193300063,200453719,206496100,211491184,215573245,218946880 Dl.O(d2) = 261764355,128338302,272850660,255117783,256443531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16232990, s2 = 11480274, dlinesl.size( ) = 2 s1 = 16232990, s2 = 11480274, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16232990, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 7248321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13828727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15815765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10248653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13680483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8870024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8870024, s2 = 5292468, int(edited[s2]) = 0 s1 = 8870024, s2 = 5292468, d1 = 12, d2 = 8 Dl.O(d1) = 263589655,201541281,207422617,264789151,265224061,265224063,224678827,222295832,219520444,216235220,216235221,219520445,222295834,219520451,265017371,212272510,264789151,219520452,219520450 Dl.O(d2) = 274501048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8870024, s2 = 5292468, dlinesl.size( ) = 2 s1 = 8870024, s2 = 5292468, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8870024, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7746565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7100498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7304738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7304738, s2 = 4638495, int(edited[s2]) = 0 s1 = 7304738, s2 = 4638495, d1 = 18, d2 = 1 Dl.O(d1) = 265202756,219564420,219564417,264762784,207488217 Dl.O(d2) = 186490114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7304738, s2 = 4638495, dlinesl.size( ) = 22 s1 = 15914376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15914376, s2 = 15086749, int(edited[s2]) = 0 s1 = 15914376, s2 = 15086749, d1 = 34, d2 = 43 Dl.O(d1) = 200372752,200372754,206422316,211425943,215516476,218896370,221749838 Dl.O(d2) = 9444667,9444668,13776217,19272905,25935409,33742534,41382447,32531969,24887190,18387838,13061035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15914376, s2 = 15086749, dlinesl.size( ) = 2 s1 = 15914376, s2 = 15086749, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15914376, Dl.E( ) = 48, 3.7e-05 seconds used appending s1 = 5294535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5296432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14855539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14855539, s2 = 14983778, int(edited[s2]) = 0 s1 = 14855539, s2 = 14983778, d1 = 0, d2 = 10 Dl.O(d1) = 257800608 Dl.O(d2) = 218574919,215142112,210974093,205873874,199707763,192417857,192417855,199707762,199707767,199707765,205873870,199707768,273492474,174287826,183950592,183950590,183950591,192417852,199707757,199707768,192417866,192417864,192417865,199707769,199707760,192417854,263419302,163439645,273492472,192417852,199707758,264442225,199707764,192417857,192417855,199707762,199707767,192417863,192417862,192417859,183950584,183950585,183950586,263419306,163439648,151556737,138853905,125520784,111713403,97790575,83931501,70405222,57711165,46361891,256720736,28040381,20872322,20872321,28040379,36503782,46361893,57711167,70405224,83931502,97790577,260471175,125520786,111713405,111713406,125520788,138853906,151556739,163439653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14855539, s2 = 14983778, dlinesl.size( ) = 2 s1 = 14855539, s2 = 14983778, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14855539, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10266130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11499012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499012, s2 = 13995244, int(edited[s2]) = 0 s1 = 11499012, s2 = 13995244, d1 = 26, d2 = 24 Dl.O(d1) = 228672656,226887954,224839797,265102842,216475156,212549496,207746920,201923181 Dl.O(d2) = 8751081,8751082,5710291,5710292,8768931,12892675,18179481,24634775,32232185,41024459,41310886,32465732,24826714,18334076,18334078,256087147,41310885,257739913,76266226,90077990,104209851,118369012,132185702,145415356,157816612,169246972,179500642,188520147,196375443,188520145,273211291,157816610,145415355,260820397,260820395,145415353,157816606,262890857,169246968,261926705,260820397,259607585,90077990,104209851,118369012,132185702,145415356,157816612,169246972,179500642,188520147,196375443,188520145,188520143,179500647,169246979,169246975,169246976,169246973,157816614,157816602,272344439,118369010,118369011,132185699,145415352,157816604,169246963,169246974,157816614,157816602,272344439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499012, s2 = 13995244, dlinesl.size( ) = 2 s1 = 11499012, s2 = 13995244, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11499012, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 10358741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358741, s2 = 11406912, int(edited[s2]) = 0 s1 = 10358741, s2 = 11406912, d1 = 23, d2 = 16 Dl.O(d1) = 210947355,215119708,216491845 Dl.O(d2) = 192550739,263068186,163607581,151730860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10358741, s2 = 11406912, dlinesl.size( ) = 12 s1 = 15325112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15325112, s2 = 11942981, int(edited[s2]) = 0 s1 = 15325112, s2 = 11942981, d1 = 70, d2 = 28 Dl.O(d1) = 224871808,264811084,219775685,222517290,222517288,219775684,216527686,212610871,212610870,207817025,263235216,187002610,177722664,167224958,167224957 Dl.O(d2) = 173722105,162713899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15325112, s2 = 11942981, dlinesl.size( ) = 2 s1 = 15325112, s2 = 11942981, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15325112, Dl.E( ) = 84, 2.19e-05 seconds used appending s1 = 15713291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15713291, s2 = 15940957, int(edited[s2]) = 0 s1 = 15713291, s2 = 15940957, d1 = 22, d2 = 65 Dl.O(d1) = 184489608 Dl.O(d2) = 259405547,100179649,114211919,128100501,141466047,261423946,141466045,154135791,165899920,176551038,185977136,262920600,165899918,165899917,176551035,176551042,165899922,165899921,176551039,176551037,176551038,185977136,194194948,201233783,207159537,212045876,212045874,207159535,207159533,207159532,212045870,207159536,207159537,212045876,212045873,207159535,201233782,201233783,207159537,264622592,212045870,212045875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15713291, s2 = 15940957, dlinesl.size( ) = 2 s1 = 15713291, s2 = 15940957, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15713291, Dl.E( ) = 66, 1.91e-05 seconds used appending s1 = 11501128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7252685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15765821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15943421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389138, s2 = 7283550, int(edited[s2]) = 0 s1 = 11389138, s2 = 7283550, d1 = 19, d2 = 14 Dl.O(d1) = 254910986,102512439,256111192 Dl.O(d2) = 265468472,234145974,233022283,233022285,232508656,232508657,233676846,265085580,231216177,231216176,232508669,265634078,235707203,235168348,235168349,265468474,232508667,232508666,233676859,233022288,231779714,231779715,233022291,234145983,235168353,274435394,265468472,234145974,233022283,233022285,232508656,231216165,229775087,229775085,231216160,232508648,231216169,231216159,231216160,232508648,232508660,233676851,234739062,233676858,233676859,233022288,233022289,234145980,265468470,265785194,235707198,235707199,265634082,233676853,233022286,233022287,233676842,232508655,231216167,231216168,232508658,233676849,234739061,235707200,235707201,235707202,265923940,235707204,265923938,232508671,231216178,231216179,232508672,233676825,233676824,234739048,234739057,234739070,233676869,232508675,266051304,232508640,233676821,234739047,234145971,234145972,265468470,265785194,235707198,235707199,265634082,233676853,233022286,233022287,265285826,233676839,233676838,265634080,265468466,233676835,233676836,232508665,231216171,229775091,265285828,226302055,228151756,229775094,231216179,232508672,233676827,233676826,234739050,235168350,235168346,234145971,234145972,265468470,265785194,234739073,265785190,232508672,233676825,233676824,234739049,234739054,233676839,233676838,265634080,265468466,233676835,233676836,232508665,231216171,229775091,229775092,231216175,230396382,230396383,231779715,233022291,234145983,235168353,274435394,265785192,265468462,234739053,233676835,233676836,232508665,231216171,229775091,265285828,224177290,221726869,221726868,224177289,226302054,228151755,228151753,226302052,226302051,224177291,221726869,264959406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389138, s2 = 7283550, dlinesl.size( ) = 2 s1 = 11389138, s2 = 7283550, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11389138, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 5226826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5226826, s2 = 10698601, int(edited[s2]) = 0 s1 = 5226826, s2 = 10698601, d1 = 6, d2 = 19 Dl.O(d1) = 216990195 Dl.O(d2) = 265014636,230467368,231842114,233078887,234197152,266010996,236982679,237752020,274699632,235374216,234377925,233282262,232071604,232071602,233282257,234377918,235374213,236282400,237111734,237752017,236982672,236139369,236139368,236982670,237752016,238451084,238557972,237868664,237868663,238557970,266602402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5226826, s2 = 10698601, dlinesl.size( ) = 2 s1 = 5226826, s2 = 10698601, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5226826, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 11502958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9289036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127124, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5229697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5229697, s2 = 11660127, int(edited[s2]) = 0 s1 = 5229697, s2 = 11660127, d1 = 12, d2 = 3 Dl.O(d1) = 217170028 Dl.O(d2) = 72997362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5229697, s2 = 11660127, dlinesl.size( ) = 14 s1 = 16216567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15698507, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13849345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8627975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8627975, s2 = 5463988, int(edited[s2]) = 0 s1 = 8627975, s2 = 5463988, d1 = 29, d2 = 31 Dl.O(d1) = 170007894,273622642 Dl.O(d2) = 225347461,265465642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8627975, s2 = 5463988, dlinesl.size( ) = 32 s1 = 8737987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7299331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7299331, s2 = 15156952, int(edited[s2]) = 0 s1 = 7299331, s2 = 15156952, d1 = 51, d2 = 55 Dl.O(d1) = 265144210,217348743,213620616,210757286 Dl.O(d2) = 255323666,29078526,21780566,21780565,23858799,29494112,22155101,22155099,29133208,29081251 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15961387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15961387, s2 = 8759662, int(edited[s2]) = 0 s1 = 15961387, s2 = 8759662, d1 = 25, d2 = 26 Dl.O(d1) = 238510606,237817455,274681374,235333020,234331439,233231567,232016698,232016697,233231564,233231570,233231569,233107959,233107960,234222965,233199585,274377642,229109415,227389913,225423987,264359200 Dl.O(d2) = 256756166,95322849,104018055,89892350,255337588,95322856,95322857,109578219,123768660,137493238,139699895,126325064,112458896,98468715,84546606,257921392,112458894,126325061,139699894,152425617,262093888,175101708,184686202,193055003,200236643,262585462,192926599,184532931,174921257,164095807,164095808,261195170,132190004,118373134,104213754,90081783,76269861,63250860,257407022,24829234,18336112,18336113,24829236,28180895,20998369,20998368,256288543,46524887,46524888,269767275,84119460,259886799,125755086,125755079,111935032,111935033,261068077,261620653,163672654,263474281,199861489,206005360,211085656,215238285,218659308,265353549,221538930,221538929,224007392,226146090,228007123,228007122,265968953,265969064,229641160,228007117,226146082,226146081,274549475,265835318,229641161,231092427,232394293,232394294,266310485,266576839,237319754,236507976,235618419,235618418,236507975,235618417,266496085,236199409,266374501,234275255,234642277,234642276,235282492,274648293,231941293,231941294,230582009,229056491,227328320,225350856,223074735,220436210,220436209,223074733,265465982,220436215,264860744,209044958,203495347,263702380,180181376,170014726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15961387, s2 = 8759662, dlinesl.size( ) = 2 s1 = 15961387, s2 = 8759662, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15961387, Dl.E( ) = 32, 1.6e-05 seconds used appending s1 = 5143524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7256120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7750698, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13799877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7256338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13688659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13688659, s2 = 16358247, int(edited[s2]) = 0 s1 = 13688659, s2 = 16358247, d1 = 9, d2 = 9 Dl.O(d1) = 189793324,197458020,203983642,209426861,213893262,217560747,220621847,220375468,220375469,223024810,223024809,223024810,264881306,213506856,208930963,203361512,203361511,196716176,196716175,273435429,179990614,188952028,188952026,179990611,169807856,158440940,158440939,263321261,262904499,169807855,263321259,169807866,158440947,146074364,146074365,262442739,169807832,169807831,169807834,158440933,146074349,262904495,188952020,188952025,263696655,188952020,188952025,179990609,272971869,146074356,132855891,119035872,260836345,146074360,158440943,169807863,158440942,146074358,132855891,119035872,260836345,146074360,158440943,169807864,263321257,179990612,179990611,169807856,158440940,158440939,263321261,262904499,169807855,179990607,179990615,188952029,196716175,273435429,262442735,146074363,262442737,169807831,262442729,146074351,146074350,158440923,146074341,132855879,119035865,104852059,258996493,63714641,51907786,51907785,63714636,63714638,76815625,90683986,258996493,63714641,51907786,51907785,63714636,63714638,76815625,90683986,258996493,63714641,51907786,41607535,32704142,25020174,18489955,13136078,8952725,5843455,3646457,2179684,1263099,1263101,2093830,1252614,1252618,1224761,692506,692508,1222312,1224827,2082921,1197505,674267,375121,205676,205679,375139,674316,1197630,1197758,1197762,2083354,2090909,2090912,1202660,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082385,2082639,1197349,1197346,2082655,2915063,4837499,7646154,11495749,8952723,5843453,5843452,8952722,13136076,18489954,13317466,9098021,5952544,5952543,9098016,255251169,23858120,31351616,40031842,50051923,61531230,257806901,42402886,33413757,33413756,256142867,255273331,9300380,6092321,6092322,9300381,10367621,15040236,15852420,10986732,7272617,4586386,2759269,2759267,4586381,7272605,10986718,15852401 Dl.O(d2) = 189793324,197458020,203983642,209426861,213893262,217560747,220621847,220375468,220375469,223024810,223024809,223024810,264881306,213506856,208930963,203361512,203361511,196716176,196716175,273435429,179990614,188952028,188952026,179990611,169807856,158440940,158440939,263321261,262904499,169807855,263321259,169807866,158440947,146074364,146074365,262442739,169807832,169807831,169807834,158440933,146074349,262904495,188952020,188952025,263696655,188952020,188952025,179990609,272971869,146074356,132855891,119035872,260836345,146074360,158440943,169807863,158440942,146074358,132855891,119035872,260836345,146074360,158440943,169807864,263321257,179990612,179990611,169807856,158440940,158440939,263321261,262904499,169807855,179990607,179990615,188952029,196716175,273435429,262442735,146074363,262442737,169807831,262442729,146074351,146074350,158440923,146074341,132855879,119035865,104852059,258996493,63714641,51907786,51907785,63714636,63714638,76815625,90683986,258996493,63714641,51907786,51907785,63714636,63714638,76815625,90683986,258996493,63714641,51907786,41607535,32704142,25020174,18489955,13136078,8952725,5843455,3646457,2179684,1263099,1263101,2093830,1252614,1252618,1224761,692506,692508,1222312,1224827,2082921,1197505,674267,375121,205676,205679,375139,674316,1197630,1197758,1197762,2083354,2090909,2090912,1202660,1202658,1197033,1197036,1197179,1197176,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082385,2082639,1197349,1197346,2082655,2915063,4837499,7646154,11495749,8952723,5843453,5843452,8952722,13136076,18489954,13317466,9098021,5952544,5952543,9098016,255251169,23858120,31351616,40031842,50051923,61531230,257806901,42402886,33413757,33413756,256142867,255273331,9300380,6092321,6092322,9300381,10367621,15040236,15852420,10986732,7272617,4586386,2759269,2759267,4586381,7272605,10986718,15852401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13688659, s2 = 16358247, dlinesl.size( ) = 2 s1 = 13688659, s2 = 16358247, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13688659, Dl.E( ) = 10, 7.87e-06 seconds used appending s1 = 14135840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4544107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9725276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16220137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5246930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7096726, s2 = 10993300, int(edited[s2]) = 0 s1 = 7096726, s2 = 10993300, d1 = 46, d2 = 52 Dl.O(d1) = 262516936 Dl.O(d2) = 257245686,272430653,93254910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7096726, s2 = 10993300, dlinesl.size( ) = 22 s1 = 9722991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5334625, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14743309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14743309, s2 = 3838383, int(edited[s2]) = 0 s1 = 14743309, s2 = 3838383, d1 = 54, d2 = 0 Dl.O(d1) = 225919392,265629718,225919394,223755691,221259464 Dl.O(d2) = 137321183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14743309, s2 = 3838383, dlinesl.size( ) = 52 s1 = 16217599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16217599, s2 = 990252, int(edited[s2]) = 0 s1 = 16217599, s2 = 990252, d1 = 30, d2 = 23 Dl.O(d1) = 173728721,183504717,192052184,199406187,205628669,210776509,264930971,218439739,221344960,223833178,265677309,224579849,222184152,219394161,216092071,216092072,219394162,221628386,218765881,215375444,263924266,206251030,200178288,192986339,184602579,175001806,261210304,270858424,258792662,98354287,84444601,70887445,70887444,67723345,67721443,67721444,55381725,55381575,46805822,46805821,58072826,46700844,36818260,36818259,44448488,269191895,35073669,26989539,26989538,35073666,44448487,55292891,67630813,81096347,95154016,109408734,123601308,137333444,150375192,162507534,173542909,183341086,191907021 Dl.O(d2) = 8996859,8996858,5873808,5873807,8996878,13197792,18572349,18571225,13196987,13196986,18571221,25122952,26964416,20080029,14397169,14397168,20080027,26964414,20919492,20919493,28093932,36564227,41749124,42861238,44746438,35320672,33817543,26002368,26002367,26002434,19329608,19329609,26001383,19329564,13822378,13822379,9479691,6215936,3890616,3890615,6215934,9479687,9479659,6215918,6215916,254945301,19329618,26002449,33819642,41735847,256105263,18562359,13190638,8992287,8992286,13190845,18562672,25112492,28324899,32815672,32829923,25125266,18573004,13198273,8997192,5874025,5874024,8997189,13198266,18572994,25125253,32829919,32173524,32173525,40953060,32815864,25112594,18562743,13197772,13197773,18572312,25112184,18562464,13190709,13190712,13191293,8992552,5871046,3665880,2194132,1274394,1274396,2194135,3665889,5871060,8992564,13191317,18563390,25113587,32817151,41738115,269490191,76982810,90860866,105039411,119231669,133061607,261949731,170015960,180182383,189124448,264041207,209045663,213600503,213272351,208629324,202979562,196237522,263528590,179307202,169022479,157561660,145129067,131872203,118047833,270314338,63045937,256914480,12969029,254517704,3581421,2134142,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,12825049,10599746,6993144,6292399,3941186,3941185,3941187,6292401,9586132,13961807,18769183,18502694,13145518,8959394,5847980,5847983,8959402,13145530,14416155,13962175,9586436,9586437,10677201,10677200,15443784,21438984,17989209,12750261,12750262,13789560,15358955,15358954,11021963,254498204,18133440,15349297,15349296,21319833,18769784,18769783,21967594,21326000,21325999,18758128,13357050,254646479,3735714,3735716,4593392,4593391,7283780,11003107,15873452,254757413,4593024,2763276,2763275,4593022,7045918,7045917,10668219,11001363,11001362,15872398,11002179,7283102,7283099,7050200,6153853,3850428,2306935,2306931,254313120,3850329,6153721,9393235,12969033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16217599, s2 = 990252, dlinesl.size( ) = 12 s1 = 14141791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16244529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5337998, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15001836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15001836, s2 = 14138131, int(edited[s2]) = 0 s1 = 15001836, s2 = 14138131, d1 = 6, d2 = 4 Dl.O(d1) = 105080475,119273400,133103203,146330247,158698330,170055353,180218473,189156009,196896047,203520052,209067454,213620482,217348649,220453402,223090122,225365531,227342964,229071818,266050373,233177281,234282311,235287664,236203746,237038808,266697235,239132194,239716739,240257056,240757736,240757735,241221066,241650212,242046562,242411584,242513514,242154038,241766267,241346189 Dl.O(d2) = 240402792,239874763,239303091,238681900,238004615,237260191,236442787,235547000,234563576,233483384,232294130,230977094,229507908,227854067,264600660,221322393,218414862,214954151,210747190,205596796,199370315,192011141,186273900,186273899,186273901,194450395,201455553,201096741,194040696,185806887,176366242,165701307,153926421,141254545,127893853,114013678,99987884,268425452,113913002,99894494,99894493,113912999,127787460,141144138,153817057,165598218,176273969,185725426,193968134,201030236,206984820,211903555,212214669,207352270,201455555,194450396,186273902,260806464,166293453,154570794,141926508,128567327,114672593,100629557,86658028,85939427,72345854,72345855,85939429,86658030,73053520,60312948,60312947,256078936,255621900,38991492,30402575,22997887,16758497,11711587,267741676,5885880,3674979,2209102,1282832,733151,733146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15001836, s2 = 14138131, dlinesl.size( ) = 2 s1 = 15001836, s2 = 14138131, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15001836, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14149045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7332419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7332419, s2 = 16297460, int(edited[s2]) = 0 s1 = 7332419, s2 = 16297460, d1 = 33, d2 = 63 Dl.O(d1) = 265521774 Dl.O(d2) = 89691420,75914737,255624946,41086302,32278753,24670687,18207426,12914064,8784785,5721522,3562045,2122665,2122663,3562044,2990428,1737334,987529,987534,1737757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7332419, s2 = 16297460, dlinesl.size( ) = 44 s1 = 4965809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4965809, s2 = 8867357, int(edited[s2]) = 0 s1 = 4965809, s2 = 8867357, d1 = 25, d2 = 14 Dl.O(d1) = 205852761,262919960,218563038,264350022,227943712,265087640,231977922,265470140,230624558,231977928,232350777,232350798,231042423,231042421,230624565,230624566,274488584,231977936,265925148,230624556,265786678,229105724,229105726,230624568,231042402,231042401,232350774,232350792,232350793,233534181,234610052,234299573 Dl.O(d2) = 230624550,229105711,229105712,265786678,229105724,229105726,230624568,231042402,231042401,232350774,232350792,232350793,233534181,274534796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4965809, s2 = 8867357, dlinesl.size( ) = 12 s1 = 14138228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7262141, s2 = 3688993, int(edited[s2]) = 0 s1 = 7262141, s2 = 3688993, d1 = 13, d2 = 17 Dl.O(d1) = 264707199 Dl.O(d2) = 38271844,38271845,48181115,59567064,72301053,85893639,260000189,127739100,141092628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7262141, s2 = 3688993, dlinesl.size( ) = 2 s1 = 7262141, s2 = 3688993, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7262141, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 7338564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7338564, s2 = 931600, int(edited[s2]) = 0 s1 = 7338564, s2 = 931600, d1 = 36, d2 = 56 Dl.O(d1) = 265586898 Dl.O(d2) = 254084324,1917042,1094946,1094947,1917045,3262312,5312833,254483914,17336010,23653090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7338564, s2 = 931600, dlinesl.size( ) = 2 s1 = 7338564, s2 = 931600, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7338564, Dl.E( ) = 70, 4.79e-05 seconds used appending s1 = 11521684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15890005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7104634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7104634, s2 = 8834205, int(edited[s2]) = 0 s1 = 7104634, s2 = 8834205, d1 = 7, d2 = 7 Dl.O(d1) = 262641620,263485552,218768321,215377940,264459167,264459169,265166331,265359474 Dl.O(d2) = 262641620,263485552,218768321,215377940,264459167,264459169,265166331,265359474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7104634, s2 = 8834205, dlinesl.size( ) = 2 s1 = 7104634, s2 = 8834205, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7104634, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 8834204, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15402094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7225561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5347974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5347974, s2 = 5081380, int(edited[s2]) = 0 s1 = 5347974, s2 = 5081380, d1 = 9, d2 = 0 Dl.O(d1) = 221649457 Dl.O(d2) = 211299183,264172215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5347974, s2 = 5081380, dlinesl.size( ) = 30 s1 = 7263916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15020561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15020561, s2 = 14222651, int(edited[s2]) = 0 s1 = 15020561, s2 = 14222651, d1 = 37, d2 = 31 Dl.O(d1) = 264676955,218260363,265363409 Dl.O(d2) = 18852204,13431786,13431787,18852205,25450196,28864405,21590044,15564007,15564008,16588361,22805847,30196650,38781209,48703692,60099443,72836034,86430510,100386012,114409026,128284979,131512996,117709255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15020561, s2 = 14222651, dlinesl.size( ) = 2 s1 = 15020561, s2 = 14222651, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15020561, Dl.E( ) = 38, 8.82e-06 seconds used appending s1 = 14759041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14759041, s2 = 11437536, int(edited[s2]) = 0 s1 = 14759041, s2 = 11437536, d1 = 50, d2 = 28 Dl.O(d1) = 264184764,218882116,221736335,224185392,226308812,274403884,228157887,226308813 Dl.O(d2) = 273994258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14759041, s2 = 11437536, dlinesl.size( ) = 14 s1 = 7264635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5354013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5354072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5354072, s2 = 13220386, int(edited[s2]) = 0 s1 = 5354072, s2 = 13220386, d1 = 16, d2 = 71 Dl.O(d1) = 221814047 Dl.O(d2) = 1776880,254376251,7925067,11858252,16943366,23215451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5354072, s2 = 13220386, dlinesl.size( ) = 2 s1 = 5354072, s2 = 13220386, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5354072, Dl.E( ) = 84, 3.39e-05 seconds used appending s1 = 5273305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7284899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7284899, s2 = 14764738, int(edited[s2]) = 0 s1 = 7284899, s2 = 14764738, d1 = 31, d2 = 25 Dl.O(d1) = 264973659,206622476,206622477,264740899 Dl.O(d2) = 257499118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7284899, s2 = 14764738, dlinesl.size( ) = 2 s1 = 7284899, s2 = 14764738, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7284899, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 15738103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5276441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5276441, s2 = 6130436, int(edited[s2]) = 0 s1 = 5276441, s2 = 6130436, d1 = 1, d2 = 22 Dl.O(d1) = 219071539 Dl.O(d2) = 242966333,242641287,242292491,267019070,241508215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5276441, s2 = 6130436, dlinesl.size( ) = 2 s1 = 5276441, s2 = 6130436, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5276441, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 16064867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16064867, s2 = 13117105, int(edited[s2]) = 0 s1 = 16064867, s2 = 13117105, d1 = 26, d2 = 11 Dl.O(d1) = 273426183,169261575,157832154,145430347,145430346,157832152,145430348,132199306,260224499,90087792,90087791 Dl.O(d2) = 233757590,233757592,234812918,234812908,234812907,234132979,234132970,234132971,234132972,234132973,233007680,231763796,230379408,228820982,265618530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16064867, s2 = 13117105, dlinesl.size( ) = 18 s1 = 7222219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8734018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16344579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16344579, s2 = 3674906, int(edited[s2]) = 0 s1 = 16344579, s2 = 3674906, d1 = 10, d2 = 77 Dl.O(d1) = 66850665 Dl.O(d2) = 115207458,259904162,126199938,260506106,164188341,175003932,273296895,257317936,123703102,109511311,109511312,113485911,127355290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16344579, s2 = 3674906, dlinesl.size( ) = 28 s1 = 15648483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15648483, s2 = 15182583, int(edited[s2]) = 0 s1 = 15648483, s2 = 15182583, d1 = 16, d2 = 9 Dl.O(d1) = 272784823,173721512,165350119,153561044,153561043,140886826,127531443 Dl.O(d2) = 206071951,211129511,215265720,218676774,221551438,264482704,219112801,273831838,206772611,200781568,193681839,185400627,262097548,165203541,153400767,140719237,140719236,127363308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15648483, s2 = 15182583, dlinesl.size( ) = 2 s1 = 15648483, s2 = 15182583, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15648483, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 4615421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5282102, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13742727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11509722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7172651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7172651, s2 = 7296225, int(edited[s2]) = 0 s1 = 7172651, s2 = 7296225, d1 = 37, d2 = 39 Dl.O(d1) = 263557518 Dl.O(d2) = 265103570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7172651, s2 = 7296225, dlinesl.size( ) = 58 s1 = 9568485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9568485, s2 = 14204937, int(edited[s2]) = 0 s1 = 9568485, s2 = 14204937, d1 = 9, d2 = 5 Dl.O(d1) = 194399176,186210102,176818111,176818112,186210104,265013007 Dl.O(d2) = 154264600,166017395,154264601,141608708,128258202,114381750,100358279,86401849,72806272,60068619,48672287,48672286,256945596,85908785,99864284,113883288,260001516,153789900,155651731,143101005,129771065,260714367,101825409,101825410,101825412,87851007,74246275,61467673,49990255,39974212,31299753,31299754,38791701,37521718,37521717,41158762,37350824,29929756,29929755,38490380,43172707,43172706,40441924,40441926,46399750,38660128,36837223,28340387,28340388,31747245,26948787,26948788,35029445,31513606,24012971,24012973,31513611,31747336,24236357,17861606,12648644,8587883,8587884,12648650,17861620,24236389,22022472,21335753,17284190,17284188,23596432,31079780,31079739,23596418,23596420,31079759,38327261,29757636,22396836,22396837,28075210,28075207,28554242,21328979,21328982,21779758,21779757,29077697,37628427,47534552,43173267,43173270,34994990,34994988,44373341,44404738,35029476,26948804,20063762,20063761,26948798,35029464,44404722,46912632,46912631,50478503,40441798,31747280,24236321,17861586,17861587,24236328,31747292,40441814,50478518,47876310,37958325,29393718,29393716,37958315,39757402,31079746,31079748,39757408,49776086,61254871,50478467,40441769,31747255,31747256,33928037,28050621,28050623,36514915,41474470,51743219,58915679,58915677,49732697,49732686,49732685,58915659,50398414,40363357,31668858,24159375,24159376,31668863,37115090,37115093,46316998,36464218,36464217,44379579,48713486,40441788,31747270,31747269,24914324,24914323,32566693,41426893,49317815,49317816,48713552,48713551,44748831,44748832,44748812,35322722,35322721,44748806,55657016,63521013,71116965,258045050,60108667,60108668,55302240,44457648,44457647,47408385,37500851,37500852,47408387,57793071,57793072,48713543,38791738,30207050,30207049,38791736,48713542,55657034,44748841,35322737,27198993,27198988,20272326,20272325,27198982,35322728,37035403,37035404,29552445,29552444,38117243,39002649,39002648,48926761,59271789,47876324,37958336,31513628,31036775,23555005,17246244,17246243,23554999,25559562,33316287,25554315,18941397,18941396,25554308,33316271,28605600,28605601,36464212,37054621,37054620,46933014,48713547,38791744,30207055,22815324,16596677,11575054,11575052,16596665,22815295,30206998,38791682,36592844,256820679,57815110,70445810,57750620,46399781,46399782,57750621,70445811,74486486,258045054,58869656,49732674,49732675,256838000,47408210,50262371,255658742,31557014,36970849,36970847,39869091,39869092,38327243,30207019,30207017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9568485, s2 = 14204937, dlinesl.size( ) = 2 s1 = 9568485, s2 = 14204937, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9568485, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 7225767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7225767, s2 = 6898353, int(edited[s2]) = 0 s1 = 7225767, s2 = 6898353, d1 = 16, d2 = 21 Dl.O(d1) = 264243318 Dl.O(d2) = 259871734,256275674,255363324,254323160,271285770,154881721,261244354,73343926,60598887,49198230,49198231,39911169,255972512,23752436,25800561,19154221,13677352,9366339,9366340,10964041,15820867,12973627,12973628,13606326,13606324,13744861,255692845,268761833,261475953,263371957,197842215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7225767, s2 = 6898353, dlinesl.size( ) = 14 s1 = 8753529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8753529, s2 = 2331733, int(edited[s2]) = 0 s1 = 8753529, s2 = 2331733, d1 = 92, d2 = 95 Dl.O(d1) = 194569198,201555128,207435592,212284606,216246652,219530983,264702684,224686850,226754663,228557776,226754665,226754664,228557777,228557774,226754662,226754663,228557776,226754665,265152654,226754662,226754663,228557776,226754665,224686851,222305278,222305277,224686850,226754663,228557776,226754665,226754664,226754672,265152656,230143092,230143091,231550699,230143094,230143092,228557780,226754667,226754666,226754671,226754670,228557783,228557779,226754667,224686852,222305278,219530982,219530983,222305279,224686853,226754668,228557781,228557785,228557784,230143093,231550700,265963936 Dl.O(d2) = 29561512,29561513,24619001,24619002,32210367,40994109,40994110,51140780,62776864,75725669,86034475,72436502,59700616,48313730,38402948,29830790,29830789,38402946,48313728,59700614,72436500,86034473,99996427,114022455,127902532,141262833,153934313,165708882,176373531,261917840,201103236,207049116,203478789,196849709,189102763,180157520,260689328,158624419,146250156,133016152,119181259,104986356,257037888,76932334,63824600,52008683,41696985,32780586,25083220,18539234,13172933,8979702,8979703,5862826,5862827,3660325,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,11843562,11843564,14537093,14537092,10052165,10052163,14608639,19002731,13561936,9285364,9285366,13338219,18736360,14955468,10289039,10289040,10788377,10788376,15595052,17334075,12208689,8240074,8240073,255000398,9339026,254935081,254950903,7461391,7461392,11241352,16173933,22318953,19101916,13638122,13638119,14603190,14611195,20355139,20339765,14597709,11339273,11339275,7535423,4766725,2873427,1667673,948618,534806,534807,948576,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524659,12385020,8369029,8369030,10047417,10047539,10047574,11517213,11516145,11516144,10274865,8585318,8585319,9443445,13774400,18830285,17854538,12644305,8585292,8585290,12644295,17854520,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595219,21625964,23900416,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6811495,6811494,10345941,15018026,20925838,23151932,30569316,39167206,49097382,60501010,73248022,86860633 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15247163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15247163, s2 = 967546, int(edited[s2]) = 0 s1 = 15247163, s2 = 967546, d1 = 64, d2 = 89 Dl.O(d1) = 260073299,258832607,60636357,49235786,256476859,23295000,23295001,30711499,39309132 Dl.O(d2) = 35213482,27121077,20217720,14507865,9983031,9983030,14507860,20217710,27121062,35213461,35213479,40259015,31571608,31571607,37113979,28604605,21370770,15390523,10636255,7021416,7021415,10636253,15390518,21370762,28604599,26634739,26634738,34624107,34624114,32630779,32630778,41515967,48046050,38132779,29566912,22220828,22220830,29566914,38132786,38132822,37082263,28577995,21348842,15373126,15373127,21348846,28578000,37082272,44594178,35213467,27121067,20217714,20217715,27121071,29567697,22221413,16088994,12528181,8489727,8489729,12528185,10620160,7008789,4405965,2641155,2641154,4405961,7008782,10620149,15369818,10620120,10620118,15369815,21344620,28572740,23614402,17301290,17301291,23614406,24065913,24065912,28572879,29566944,22220852,16088618,11174159,11174160,16088623,22220862,29566954,38132838,48046107,52860316,59437578,59437577,50279969,50279967,61759594,258050744,59439183,48047308,46999856,46999855,50679878,58398755,58398754,71116571,84681227,77974513,64779978,64779979,71038672,58323183,46956045,37075852,28572683,28572684,37075855,46956050,49358104,42456400,39101322,30505043,30505046,39101330,49030439,60434182,49172372,49172370,60434141,60571296,73314135,73181079,60434137,60434136,64779868,64779867,77974444,85771981,72177666,59439209,59439208,58370279,46999851,37114002,37114003,46999853,58370282,62197997,50679880,40622462,31908158,28450857,21224068,15254236,15254235,12800793,8703318,5665498,5665500,8703320,12800797,18056260,24478067,32042670,40802392,50921676,62525092,75447189,72928294,72928295,74287823,74287822,61511140,50032928,50032929,61511142,74287834,87890477,74287815,74287814,87890475,87645786,84028175,84028176,80306391,80306389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15247163, s2 = 967546, dlinesl.size( ) = 48 s1 = 5297249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9587372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143845, s2 = 7251248, int(edited[s2]) = 0 s1 = 14143845, s2 = 7251248, d1 = 7, d2 = 26 Dl.O(d1) = 230206855 Dl.O(d2) = 264561798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143845, s2 = 7251248, dlinesl.size( ) = 2 s1 = 14143845, s2 = 7251248, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14143845, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 5385213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5385213, s2 = 827289, int(edited[s2]) = 0 s1 = 5385213, s2 = 827289, d1 = 51, d2 = 88 Dl.O(d1) = 222713071 Dl.O(d2) = 21383865,28620841,37132973,47020422,58391602,71108386,84671559,98594835,261100719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5385213, s2 = 827289, dlinesl.size( ) = 56 s1 = 7273436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5307776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144756, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5388664, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5388664, s2 = 16315286, int(edited[s2]) = 1 s1 = 15722963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5312302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5312302, s2 = 14371127, int(edited[s2]) = 0 s1 = 5312302, s2 = 14371127, d1 = 51, d2 = 103 Dl.O(d1) = 220228618 Dl.O(d2) = 6253151,6251977,6251976,9530534,10342374,15013271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5312302, s2 = 14371127, dlinesl.size( ) = 22 s1 = 8828141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8828141, s2 = 7140259, int(edited[s2]) = 0 s1 = 8828141, s2 = 7140259, d1 = 14, d2 = 6 Dl.O(d1) = 196315470,203041343,208675822,213305640,217095032,264741966,222913563,222913565,224296428,222913560,220245076,217095039,213305644,208675826,203041345,196315473,264849737,220245074,217095046,217095045,217095047,263876174 Dl.O(d2) = 263121908,196315476,203041349,208675830,213305649,217095042,213305647,208675829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8828141, s2 = 7140259, dlinesl.size( ) = 6 s1 = 7292215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7292215, s2 = 7230948, int(edited[s2]) = 0 s1 = 7292215, s2 = 7230948, d1 = 8, d2 = 6 Dl.O(d1) = 265054278 Dl.O(d2) = 264302624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7292215, s2 = 7230948, dlinesl.size( ) = 12 s1 = 11505492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11505492, s2 = 14367523, int(edited[s2]) = 0 s1 = 11505492, s2 = 14367523, d1 = 35, d2 = 23 Dl.O(d1) = 196484003,264252266,208768464,213373822,217146169,220284803 Dl.O(d2) = 237770593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11505492, s2 = 14367523, dlinesl.size( ) = 14 s1 = 7286587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7286587, s2 = 9597949, int(edited[s2]) = 0 s1 = 7286587, s2 = 9597949, d1 = 103, d2 = 111 Dl.O(d1) = 200964332,206931365,211861167,264991519 Dl.O(d2) = 265035127,212573650,274093264,186955114,177674549,167175802,155543678,142994673,129666821,260108875,74148223,257637933,268676573,12603528,254612343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7286587, s2 = 9597949, dlinesl.size( ) = 42 s1 = 11757486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5314731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8866965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5392868, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8855922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8855922, s2 = 14969930, int(edited[s2]) = 0 s1 = 8855922, s2 = 14969930, d1 = 28, d2 = 0 Dl.O(d1) = 274536090,230594943,265475386,225360797,223084360 Dl.O(d2) = 98903478,84978063,71403774,58669250,47277673,37367801,254920116,268296110,59480445,72217652,74555065,61771516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8855922, s2 = 14969930, dlinesl.size( ) = 2 s1 = 8855922, s2 = 14969930, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8855922, Dl.E( ) = 30, 2.29e-05 seconds used appending s1 = 7784942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7784942, s2 = 10346646, int(edited[s2]) = 0 s1 = 7784942, s2 = 10346646, d1 = 58, d2 = 60 Dl.O(d1) = 274896545,274956698,241229926,274855511,266169812 Dl.O(d2) = 256177050,18715319,13322023,268292303,20848526,14948186,10282375,6758177,4234951,2532012,2532013,2556937,4276600,6817733,255006133,20933464,28110080,36582360,34076986,26216251 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16253572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15017709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15017709, s2 = 4521744, int(edited[s2]) = 0 s1 = 15017709, s2 = 4521744, d1 = 120, d2 = 70 Dl.O(d1) = 227415381,225451885,223193808 Dl.O(d2) = 256583107,51138352,62774074,75722711,89486321,103582145,260795005,144740525,157137901,168581299,178878899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15017709, s2 = 4521744, dlinesl.size( ) = 24 s1 = 4276248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4276248, s2 = 11421826, int(edited[s2]) = 0 s1 = 4276248, s2 = 11421826, d1 = 0, d2 = 71 Dl.O(d1) = 164576157,175338910,184890630,193231541,200390505,264185545,206437822,206437821,211438900,211438902,215527027,265411724 Dl.O(d2) = 262765864,203985785,209428862,213895095,217562470,217562471,217562681,220623660,264788278,203985790,203985791,203986047,203986045,209429114,263939224,203985800,203985799,263939222,203985801,264253306,264788284,264534682,213895089,213895090,213895068,209428847,203985773,203985770,209428836,203985996,203985756,263198292,197460347,263939214,264534674,213895380,264253302,197460658,263588218,213895088,217562446,213895068,209428847,203985773,203985771,209428841,213895062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4276248, s2 = 11421826, dlinesl.size( ) = 22 s1 = 8780379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7127411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7127411, s2 = 14244798, int(edited[s2]) = 0 s1 = 7127411, s2 = 14244798, d1 = 25, d2 = 55 Dl.O(d1) = 262938511,273632789 Dl.O(d2) = 225224376,265777609,265685802,227220412,225224373,222928275,220263743,264445728,265074019,265156078,225224378,222928279,264706778,264445730,208716437,203091697,203091698,208716438,213336628,264706782,265156080,264706778,213336626,208716437,203091697,263064070,179501121,169247526,157817257,145416168,132186696,132186695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7127411, s2 = 14244798, dlinesl.size( ) = 26 s1 = 7295963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6980744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6980744, s2 = 11561664, int(edited[s2]) = 0 s1 = 6980744, s2 = 11561664, d1 = 49, d2 = 73 Dl.O(d1) = 260907081,274154670 Dl.O(d2) = 231609008,230209574,228633788,226841677,224786187,222418104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6980744, s2 = 11561664, dlinesl.size( ) = 22 s1 = 7277917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5152539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5152539, s2 = 11555672, int(edited[s2]) = 0 s1 = 5152539, s2 = 11555672, d1 = 38, d2 = 36 Dl.O(d1) = 214141186,217775087,220808485 Dl.O(d2) = 265847437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5152539, s2 = 11555672, dlinesl.size( ) = 34 s1 = 9578067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9262081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15757882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15757882, s2 = 11540976, int(edited[s2]) = 0 s1 = 15757882, s2 = 11540976, d1 = 0, d2 = 17 Dl.O(d1) = 218025701 Dl.O(d2) = 232147361,266184131,232147360,230816076,229326668,227646479,225729195,225729196,227646481,227646483,229326671,230816079,274541057,225729199,274386141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15757882, s2 = 11540976, dlinesl.size( ) = 2 s1 = 15757882, s2 = 11540976, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15757882, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 5404237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7264299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7264299, s2 = 9707527, int(edited[s2]) = 0 s1 = 7264299, s2 = 9707527, d1 = 2, d2 = 6 Dl.O(d1) = 264729792 Dl.O(d2) = 263859286,273332120,273659843,152529148,139811850,126438745,112569835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7264299, s2 = 9707527, dlinesl.size( ) = 8 s1 = 8741617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8741617, s2 = 9725277, int(edited[s2]) = 0 s1 = 8741617, s2 = 9725277, d1 = 7, d2 = 7 Dl.O(d1) = 161290686,172490493,182442000,191144132,198633873,204978812,264903809,221027812,223560062,225754490,227667638,229344690,230832116,232161953,233362191,234450149,235440448,236344385,237170241,237922277,238605985,239231674,239807012,240338973,240833192,241291620,241716828,242109735,242472768,242810320,243123771,243417565,243691292,243944861,243944857,243944856,244181225,244181227,244400886,244604551,244794509,244972331,245139769,244972326,244972327,245139771,245139776,245296563,245296560,245296558,245139763,244972322,244794504,244604549,267335606,244972327,245139771,245139776,245296563,245296560,245296558,245296559,245443426 Dl.O(d2) = 161290686,172490493,182442000,191144132,198633873,204978812,264903809,221027812,223560062,225754490,227667638,229344690,230832116,232161953,233362191,234450149,235440448,236344385,237170241,237922277,238605985,239231674,239807012,240338973,240833192,241291620,241716828,242109735,242472768,242810320,243123771,243417565,243691292,243944861,243944857,243944856,244181225,244181227,244400886,244604551,244794509,244972331,245139769,244972326,244972327,245139771,245139776,245296563,245296560,245296558,245139763,244972322,244794504,244604549,267335606,244972327,245139771,245139776,245296563,245296560,245296558,245296559,245443426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8741617, s2 = 9725277, dlinesl.size( ) = 2 s1 = 8741617, s2 = 9725277, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8741617, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 7314798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11462702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11462702, s2 = 13804746, int(edited[s2]) = 0 s1 = 11462702, s2 = 13804746, d1 = 30, d2 = 63 Dl.O(d1) = 263429180 Dl.O(d2) = 201121330,262328398,194069913,185840110,176402265,165739419,153965593,141293680,141293679,153965591,165739417,176402263,185840109,194069910,201121337,207062917,262800382,201121319,201121318,207062903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11462702, s2 = 13804746, dlinesl.size( ) = 12 s1 = 7300853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7300853, s2 = 14335220, int(edited[s2]) = 0 s1 = 7300853, s2 = 14335220, d1 = 122, d2 = 235 Dl.O(d1) = 265162130 Dl.O(d2) = 238481928,266679882,274671480,237560830,274815785,238275308,237560832,236773492,236773493,237020615,237623129,237623130,238331812,266607348,266864808,239569971,238976748,238976747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7300853, s2 = 14335220, dlinesl.size( ) = 2 s1 = 7300853, s2 = 14335220, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7300853, Dl.E( ) = 260, 7.8e-05 seconds used appending s1 = 5064860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7280148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7280148, s2 = 15457679, int(edited[s2]) = 0 s1 = 7280148, s2 = 15457679, d1 = 11, d2 = 32 Dl.O(d1) = 264920877 Dl.O(d2) = 35320897,27197431,20271030,14543961,14543962,10653936,10653935,7035112,4426179,4426180,7035113,10653937,15412839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7280148, s2 = 15457679, dlinesl.size( ) = 2 s1 = 7280148, s2 = 15457679, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7280148, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 7304322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7304322, s2 = 6573776, int(edited[s2]) = 0 s1 = 7304322, s2 = 6573776, d1 = 179, d2 = 169 Dl.O(d1) = 265198006 Dl.O(d2) = 256116760 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5336206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5412464, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14773169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14773169, s2 = 2099702, int(edited[s2]) = 0 s1 = 14773169, s2 = 2099702, d1 = 22, d2 = 2 Dl.O(d1) = 264932257,214996293,210793502,205648126,205648125,264695091,218453007,214996299,210793506,210793504,264932239,214996356,264432701,205648150,210793475,210793477,214996249,264695104,218452912,264932267,210793558,205648159,199428399,199428398,205648157,210793556,214996376,218452945,221356897,265146601,210793530,205648142,205648141,210793528,214996329,214996299,210793506,210793504,264932237,221356940,265518123 Dl.O(d2) = 199428395,199428379,199428378,205648128,210793507,264932243,210793559,210793560,214996383,218453117,221356952,218453010,218453011,221356954,223844320,221356914,264932229,214996261,210793496,205648120,199428374,192077312,183534635,273062975,150671647,137675127,123993779,109854981,95651787,81618920,68129373,55731614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14773169, s2 = 2099702, dlinesl.size( ) = 2 s1 = 14773169, s2 = 2099702, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14773169, Dl.E( ) = 26, 1.41e-05 seconds used appending s1 = 5414513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5414513, s2 = 13331528, int(edited[s2]) = 0 s1 = 5414513, s2 = 13331528, d1 = 15, d2 = 10 Dl.O(d1) = 223849463,221362687,265111638,221362686,223849461,226004742,227884542 Dl.O(d2) = 229536257,227884531,265310214,221362683,221362684,223849457,226004734,227884535,229536254,227884529,226004732,226004731,227884528,229536253,227884554,227884551,227884550,229536253,227884554,227884551,226004747,223849465,221362688,264650002,210801284,205656272,199436954,192086937,183545699,173778471,173778472,173778470,173778469,162781010,260916954,124011606,109872387,95668370,81634956,68144903,55747084,44839339,35414276,33482770,25709187,19082119,13623606,10053973,10053975,14045127,18227906,24697309,25709296,19082214,13623690,13623689,13121651,8943561,8943559,13121645,18469825,24993736,24993729,24993730,32669819,32597593,30309644,30309643,38895561,40562110,40562109,50603075,55706455,44799252,44799250,41123754,32310762,24697402,24697403,32310767,41123763,40272655,31585687,24079967,24079968,18220910,18220909,24688215,19597905,15747391,10906461,7213277,7213275,10053984,7213253,7213250,10053984,7213253,7213250,10053984,10053987,12919408,14611266,14611267,20355224,27289815,35414277,44839341,55747085,68144905,81634957,95668372,109872390,124011611,137692952,150688318,162781013,263043155,263813063,205656273,210801285,215003496,218459511,265341183,226004750,226004751,227884555,229536267,229167080,229167081,227454226,225496162,223245808,220643747,264876011,209455641,204015037,197493672,263350787,170830022,159498955,147137149,133912467,120068969,259665425,77720977,64539131,52640003,42254494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5414513, s2 = 13331528, dlinesl.size( ) = 24 s1 = 11501588, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7332528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7332528, s2 = 3280040, int(edited[s2]) = 0 s1 = 7332528, s2 = 3280040, d1 = 66, d2 = 80 Dl.O(d1) = 265523480 Dl.O(d2) = 18421033,24932585,32594252,41471234,51739950,63517651,256709444,256709446,104618574,118798148,132615618,145834094,158204384,147900819,134782246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7332528, s2 = 3280040, dlinesl.size( ) = 14 s1 = 8846852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8846852, s2 = 11109599, int(edited[s2]) = 0 s1 = 8846852, s2 = 11109599, d1 = 70, d2 = 72 Dl.O(d1) = 265524071,227952206,227952212,265683686,221465476,221465475 Dl.O(d2) = 255820105,15283486,10549120,6957285,6957287,10538921,6959822,6959820,10552442,6959704,4372776,4372777,6959708,5196693,5196694,8111408,10565406,15055623,13527645,13527647,18963244,17391209,17391210,15296075,255389319,10533138,10527610,10527609,6965895,6965897,9259841,268068791,6953386,4369046,4369045,6953384,10543531,10563191,15298726,15275875,10542191,10542190,15275871,15280356,10546417,8115378,5199141,5199142,8115349,12068457,17164675,15274364,10540907,10540906,15274359,15260172,10528601,10528603,10533816,15266332,15302104,15279222,10545309,10545308,15112406,10423957,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872496,6872497,6947839,4365932,2616106,2616105,4365877,4365878,6947747,255023789,9483330,8116652,5199948,5199949,8116654,8105585,8105587,9106476,6969462,4378457,4378454,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8846852, s2 = 11109599, dlinesl.size( ) = 18 s1 = 13865889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13865889, s2 = 14918988, int(edited[s2]) = 0 s1 = 13865889, s2 = 14918988, d1 = 3, d2 = 0 Dl.O(d1) = 199716616,192427043,183960418,174297925,163449969,163449968,174297922,183960415,192427042,199716614,205882357,210981867,215149273,218581398,221470213,223945411,226088520,227954851,229594428,231051458,231051463,229594434,265684127,223945401,221470206 Dl.O(d2) = 57722852,258296092,2541652,1464910,828955,828954,1464908,2542657,2530325,2530324,4232126,2541429,1464213,1464214,2536365,4242119,6768634,9088156,9088157,9068561,9068562,13285349,15042025,15042026,13278298,9062857,9062858,13278300,13319957,9100112,9100113,12094095,8133315,5210877,5210879,6776819,6776818,5948600,3720033,3720032,3720270,2227652,2227651,3720266,4854577,5374103,5944268,5941723,3715394,3715395,5941731,9084179,5942673,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249263,6237658,6237660,9510176,10297968,6770728,4243692,4243694,3372220,1984297,1984296,3372214,4261654,6796547,8599807,5588102,3466811,2055712,2055714,1477450,1477449,2565829,2560457,2550897,2550898,2555738,4274737,4282102,2560183,1474466,1474467,2560191,4282116,3709062,2221178,2221179,3709066,5931939,8597580,10279985,6756293,4233782,4233784,6756298,4245500,4245501,6773344,8596063,5585421,5585420,5584423,3464709,3464707,4245295,2538300,1462591,827798,827799,1462599,2538320,4245476,4390428,4390427,3467336,2055985,2055986,3467343,5586365,8597388,8597382,8597383,9100177,9100178,6825988,5587792,5587794,8599423,12663949,9085396,9085395,13303724,18696788,20934349,20934350,23463092,17184002,12082671,12082673,8506100,5506525,5506524,4286544,2562736,1475777,1462538,1462537,2538197,2758367,1599067,1599069,2758373,4584805,7270190,4585757,2758903,1599369,909291,512905,287633,159057,159059,287638,512910,596924,254576207,12091187,17195087,255989875,17543544,12374273,12374275,8383314,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,4898977,7737349,7737348,7737311,7737310,11618137,16650362,17575616,12403758,12403759,17575618,23207019,23207020,30629870,39227700,47743155,37820884,29255648,23426672,17148948,17148947,12377198,12377197,17546963,16651472,254800349,7737762,11619019,16651470,22879829,27034723,25574292,18965639,13530252,9260738,6065427,6065429,7361365,8274444,5339020,5339023,8274452,8273483,5338425,3281493,1930165,1102797,1102796,1930206,2923831,1696112,254126007 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13797547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13836847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5343324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5418054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5418054, s2 = 6693620, int(edited[s2]) = 0 s1 = 5418054, s2 = 6693620, d1 = 40, d2 = 48 Dl.O(d1) = 223987549 Dl.O(d2) = 257437510,256325838,20797557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5418054, s2 = 6693620, dlinesl.size( ) = 2 s1 = 5418054, s2 = 6693620, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5418054, Dl.E( ) = 62, 2.41e-05 seconds used appending s1 = 7733377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7733377, s2 = 6113931, int(edited[s2]) = 0 s1 = 7733377, s2 = 6113931, d1 = 28, d2 = 16 Dl.O(d1) = 273997494,265834075 Dl.O(d2) = 241936554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7733377, s2 = 6113931, dlinesl.size( ) = 22 s1 = 14142946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8765900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5420818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5422983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7283551, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 4977210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5349819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5351799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16320167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16320167, s2 = 5182586, int(edited[s2]) = 0 s1 = 16320167, s2 = 5182586, d1 = 32, d2 = 61 Dl.O(d1) = 260535215 Dl.O(d2) = 263862327,206422026,211425677,215516135,265177017,274434896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16320167, s2 = 5182586, dlinesl.size( ) = 68 s1 = 7347727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7347727, s2 = 14372705, int(edited[s2]) = 0 s1 = 7347727, s2 = 14372705, d1 = 34, d2 = 46 Dl.O(d1) = 265691988 Dl.O(d2) = 37293117,28759376,256331931,268912783,21158889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7347727, s2 = 14372705, dlinesl.size( ) = 52 s1 = 5615387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16201613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16201613, s2 = 4453362, int(edited[s2]) = 0 s1 = 16201613, s2 = 4453362, d1 = 11, d2 = 9 Dl.O(d1) = 85011042,98936631,112926032,115115435,101041359,87045722,73428367,60680702,49279865,39353141,30752705,23330330,255463618,8016544,5104985,5104984,8016542,11972058,256480093,49279863,60680700,73428365,87045721,101041358,115115433,129042742,142416684,262306765,263211643,194762566,201710613,207558871,212382128,216327544,219600155,222365096,224739094,226417648 Dl.O(d2) = 265122278,211634557,206675165,264103594,185259782,175746890,165013993,153194960,261508416,260346132,85356483,71766072,59022241,257256844,29134317,28054024,28054023,36518706,257391611,70423163,83949912,97809118,111731086,125537109,138869376,151571647,163454244,174301678,183963724,192429823,199718805,193345324,185014220,175473928,164719833,261674365,126848863,112995133,99005888,85080377,71508372,58779175,47392139,268619635,21664315,15628655,10814925,7147104,4500453,2704227,1566964,254228135,267884973,4500452,4500451,7147103,10814922,10814923,15628653,21664312,256344457,37484671,37484670,47392134,58553855,47164922,37259114,28727241,21470200,21470199,28727239,37259113,38816179,38816178,48736480,60131205,258700907,99005886,112995130,112995131,101801663,87827652,74222652,61442871,49964739,39947797,31272968,31272969,33603847,25806282,25806281,21409025,15420715,10660094,10660093,15420712,255707819,13943421,9570387,6280082,6280087,254951291,19484307,26193497,254575508,28720422,21464257,15463494,13173473,13173470,17887692,16982577,11896403,10019986,6585738,4126154,4126150,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,10045801,10045803,14256150,19900694,24111617,21389056,21389055,28627285,30584802,23166849,23166850,20333847,14592969,14592965,20333843,27269592,20821512,14923729,14923726,255358055,27986269,36445724,258619437,97718101,111638666,125440959,260482656,260483623,269786662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16201613, s2 = 4453362, dlinesl.size( ) = 12 s1 = 16230629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5359196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7245714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7245714, s2 = 16273216, int(edited[s2]) = 0 s1 = 7245714, s2 = 16273216, d1 = 0, d2 = 7 Dl.O(d1) = 264496449,264985179 Dl.O(d2) = 50521285,50052445,40032328,40032327,40032205,40032206,50052312,50052448,40032332,31352027,31352026,40032330,50052446,61531664,50088838,43189023,34103338,34103337,34103349,34103347,43189042,50052272,55223925,44372907,44372908,55223926,58225092,46857459,36978833,36978834,36978840,36978841,46857468,46857500,40723621,40723622,50181961,61666951,61531471,61531472,58094962,47822135,37900240,29331591,29331592,37900242,36840085,36840084,46722881,55223933,48686509,38764704,30181287,22792156,16576023,16576024,22792161,30181295,38764713,46857377,46857378,50827609,50827604,50827605,62409562,75307624,89035708,103106254,117222339,117386179,103256950,89167014,75419316,62500177,50899859,41968455,41968456,52308777,256504742,91227718,80330254,66903034,54645853,257886239,59107536,71846203,85431800,259281962,85431799,99373063,113373555,127231526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7245714, s2 = 16273216, dlinesl.size( ) = 2 s1 = 7245714, s2 = 16273216, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7245714, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 16385847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7336097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7336097, s2 = 6573903, int(edited[s2]) = 0 s1 = 7336097, s2 = 6573903, d1 = 19, d2 = 17 Dl.O(d1) = 265560715 Dl.O(d2) = 256118055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7336097, s2 = 6573903, dlinesl.size( ) = 2 s1 = 7336097, s2 = 6573903, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7336097, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 14697557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7286898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10224216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7337009, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5285529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5285529, s2 = 14143100, int(edited[s2]) = 0 s1 = 5285529, s2 = 14143100, d1 = 3, d2 = 16 Dl.O(d1) = 219330670,222126665 Dl.O(d2) = 226612972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5285529, s2 = 14143100, dlinesl.size( ) = 56 s1 = 14144366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144366, s2 = 3271015, int(edited[s2]) = 0 s1 = 14144366, s2 = 3271015, d1 = 26, d2 = 14 Dl.O(d1) = 266125375,230053472,228457547,274413011,222161197,219368440,219368439,222161195,224558888 Dl.O(d2) = 260803453,103815012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144366, s2 = 3271015, dlinesl.size( ) = 20 s1 = 16326823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5440444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5440444, s2 = 13354514, int(edited[s2]) = 0 s1 = 5440444, s2 = 13354514, d1 = 31, d2 = 34 Dl.O(d1) = 224578125 Dl.O(d2) = 30158367,30158368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5440444, s2 = 13354514, dlinesl.size( ) = 40 s1 = 9561092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9561092, s2 = 7351455, int(edited[s2]) = 0 s1 = 9561092, s2 = 7351455, d1 = 1, d2 = 1 Dl.O(d1) = 48103317,59491427,72226874,85819129,79130518,258062850,43205391,34118263,34118262,28440595,21215147,15247126,15247127,21215149,268080327,10996837,15866123,21416884,15426960,15426959,21416882,28661795,37181487,47075307,58452272,71174344,60475599,49072386,39142222,30543586,23125011,16865050,11796739,7878068,5002002,3022911,3022912,3022939,3022936,5002042,7878115,11796802,16864434,19659633,14091864,14091863,19590739,19590738,14036681,9650805,9650804,14036677,267831914,19664484,26398429,21202877,21202876,22620322,16435647,11450859,11450860,16435651,22620327,29987745,38557342,31718493,29945570,22582633,16400180,11416556,267893992,22582636,29945573,38509279,34266803,26390176,26390178,254786210,23577723,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286481,8089511,5182756,5182755,8089506,12033098,14375892,9881868,9881869,14375899,20060463,16653938,16653935,22615845,22615846,20060407,20060406,26945729,26632567,19821238,14198321,11546906,7682285,4860969,2929255,2929254,4860962,6374649,3999865,2397096,2397095,3999858,6374633,9691703,14090709,10703561,10703560,15478261,19819788,19655730,16430640,12637305,12637304,12031490,8088491,5182233,5182231,8088485,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682491,7682492,11547314,9692750,9692749,14088577,14212593,14212589,19839051,22874986,19654334,17118764,17118762,21104531,17920560,12697117,12697114,17920553,19662162,19662175,21103841,20795866,14903167,10246865,10246864,14903174,20795881,27957405,27958354,20796761,20796762,27958355,26395106,19660873,19660872,26395104,27092879,21104065,21104064,254786878,14094115,9693846,6375780,6375781,9693851,9695248,9695249,14096382,19665302,16499550,11496288,11496287,16499548,22703210,27957689,20796127,20796128,26396697,23180337,23180338,17329877,17329876,22767548,22767549,21399786,15413502,15073940,10396858,10396857,15073938,20986526,16073052,11161293,11161291,16073051,22202417,16916063,11838692,11838693,11838057,11838056,16915175,13633038,11111454,10775690,7119786,4862364,2930003,2930002,4862307,7684484,11550138,16568973,22784813,30173541,38756275,48677795,60073899,72811197,86406301,100362636,261211017,154268211,166020761,176661813,186077994,194285520,201315413,207231632,212110181,216095807,219397789,222187618,265731443 Dl.O(d2) = 48103317,59491427,72226874,85819129,79130518,258062850,43205391,34118263,34118262,28440595,21215147,15247126,15247127,21215149,268080327,10996837,15866123,21416884,15426960,15426959,21416882,28661795,37181487,47075307,58452272,71174344,60475599,49072386,39142222,30543586,23125011,16865050,11796739,7878068,5002002,3022911,3022912,3022939,3022936,5002042,7878115,11796802,16864434,19659633,14091864,14091863,19590739,19590738,14036681,9650805,9650804,14036677,267831914,19664484,26398429,21202877,21202876,22620322,16435647,11450859,11450860,16435651,22620327,29987745,38557342,31718493,29945570,22582633,16400180,11416556,267893992,22582636,29945573,38509279,34266803,26390176,26390178,254786210,23577723,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286481,8089511,5182756,5182755,8089506,12033098,14375892,9881868,9881869,14375899,20060463,16653938,16653935,22615845,22615846,20060407,20060406,26945729,26632567,19821238,14198321,11546906,7682285,4860969,2929255,2929254,4860962,6374649,3999865,2397096,2397095,3999858,6374633,9691703,14090709,10703561,10703560,15478261,19819788,19655730,16430640,12637305,12637304,12031490,8088491,5182233,5182231,8088485,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682491,7682492,11547314,9692750,9692749,14088577,14212593,14212589,19839051,22874986,19654334,17118764,17118762,21104531,17920560,12697117,12697114,17920553,19662162,19662175,21103841,20795866,14903167,10246865,10246864,14903174,20795881,27957405,27958354,20796761,20796762,27958355,26395106,19660873,19660872,26395104,27092879,21104065,21104064,254786878,14094115,9693846,6375780,6375781,9693851,9695248,9695249,14096382,19665302,16499550,11496288,11496287,16499548,22703210,27957689,20796127,20796128,26396697,23180337,23180338,17329877,17329876,22767548,22767549,21399786,15413502,15073940,10396858,10396857,15073938,20986526,16073052,11161293,11161291,16073051,22202417,16916063,11838692,11838693,11838057,11838056,16915175,13633038,11111454,10775690,7119786,4862364,2930003,2930002,4862307,7684484,11550138,16568973,22784813,30173541,38756275,48677795,60073899,72811197,86406301,100362636,261211017,154268211,166020761,176661813,186077994,194285520,201315413,207231632,212110181,216095807,219397789,222187618,265731443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9561092, s2 = 7351455, dlinesl.size( ) = 2 s1 = 9561092, s2 = 7351455, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9561092, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15007912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15007912, s2 = 15547528, int(edited[s2]) = 0 s1 = 15007912, s2 = 15547528, d1 = 70, d2 = 67 Dl.O(d1) = 240068305,239515276,238916382,238264344,237548041,236759075 Dl.O(d2) = 265184983,219022928,221859441,219022937,219022923,215663773,215663772,265184983,264741571,264741569,211602070,206633627,206633618,206633617,206633626,206633597,200619371,200619369,206633594,264741569,211602070,206633627,206633618,206633617,206633626,206633597,200619371,193489639,263875693,200619365,200619364,193489644,185171709,185171708,263875683,193489645,185171712,185171711,175635673,164879039,153041163,140343115,126988787,126988788,140343117,140343110,126988784,126988785,140343113,153041162,164879038,175635668,263517641,200619381,206633605,200619416,193489674,185171731,175635680,164879046,262681041,185171732,193489677,273856957,211602052,210205148,204945017,198598156,191107143,182402449,172447789,161242971,148930848,135684323,121740551,107359459,92954603,78847998,65515676,53492290,43014184,33957570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15007912, s2 = 15547528, dlinesl.size( ) = 34 s1 = 15019457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7226552, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7260670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7260670, s2 = 6713634, int(edited[s2]) = 0 s1 = 7260670, s2 = 6713634, d1 = 14, d2 = 16 Dl.O(d1) = 264689164 Dl.O(d2) = 257627296,23442006,30870461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7260670, s2 = 6713634, dlinesl.size( ) = 2 s1 = 7260670, s2 = 6713634, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7260670, Dl.E( ) = 38, 1.5e-05 seconds used appending s1 = 8792487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7309802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7309802, s2 = 8811912, int(edited[s2]) = 0 s1 = 7309802, s2 = 8811912, d1 = 12, d2 = 11 Dl.O(d1) = 265258512,224737007,265055008,265055010,222362697,219597256,216323897,212377858,207553772,207553771,212377856,216323895,219597242,219597241,219597254,216323898,212377858,212377857,216323885,212377852 Dl.O(d2) = 222362698,219597243,264829884,224737002,274215936,219597245,219597244,222362700,222362688,219597230,219597231,274124328,216323878,212377848,207553765,263266482,186634518,186634519,194755282,186634522,177307925,166750156,260754828,129030566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7309802, s2 = 8811912, dlinesl.size( ) = 2 s1 = 7309802, s2 = 8811912, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7309802, Dl.E( ) = 14, 2.1e-05 seconds used appending s1 = 8856789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7339275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5377489, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11530736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7290768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7290768, s2 = 6755975, int(edited[s2]) = 0 s1 = 7290768, s2 = 6755975, d1 = 24, d2 = 21 Dl.O(d1) = 265037659 Dl.O(d2) = 258119534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7290768, s2 = 6755975, dlinesl.size( ) = 28 s1 = 16071265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5451026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5451026, s2 = 6589870, int(edited[s2]) = 0 s1 = 5451026, s2 = 6589870, d1 = 31, d2 = 34 Dl.O(d1) = 224881675 Dl.O(d2) = 256306259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5451026, s2 = 6589870, dlinesl.size( ) = 2 s1 = 5451026, s2 = 6589870, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5451026, Dl.E( ) = 52, 1.88e-05 seconds used appending s1 = 16238875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14251521, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5380940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14788247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7351454, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15933797, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5306216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5306216, s2 = 15331382, int(edited[s2]) = 0 s1 = 5306216, s2 = 15331382, d1 = 37, d2 = 6 Dl.O(d1) = 219966800,222686181 Dl.O(d2) = 192035745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5306216, s2 = 15331382, dlinesl.size( ) = 52 s1 = 7455182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5404929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5404929, s2 = 5522050, int(edited[s2]) = 0 s1 = 5404929, s2 = 5522050, d1 = 22, d2 = 23 Dl.O(d1) = 223558122 Dl.O(d2) = 227050335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5404929, s2 = 5522050, dlinesl.size( ) = 2 s1 = 5404929, s2 = 5522050, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5404929, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 14780446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7729813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7729813, s2 = 8854342, int(edited[s2]) = 0 s1 = 7729813, s2 = 8854342, d1 = 32, d2 = 42 Dl.O(d1) = 273901435 Dl.O(d2) = 228867654,265448722,225085097,227104851,228867652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7729813, s2 = 8854342, dlinesl.size( ) = 44 s1 = 7293439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7293439, s2 = 5903566, int(edited[s2]) = 0 s1 = 7293439, s2 = 5903566, d1 = 7, d2 = 1 Dl.O(d1) = 265070387 Dl.O(d2) = 237167635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7293439, s2 = 5903566, dlinesl.size( ) = 14 s1 = 15789458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5395389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7380663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15009825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7258020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7258020, s2 = 7615249, int(edited[s2]) = 0 s1 = 7258020, s2 = 7615249, d1 = 25, d2 = 28 Dl.O(d1) = 264648338 Dl.O(d2) = 269414169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7258020, s2 = 7615249, dlinesl.size( ) = 24 s1 = 7356906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7296226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7296226, s2 = 7172652, int(edited[s2]) = 0 s1 = 7296226, s2 = 7172652, d1 = 50, d2 = 48 Dl.O(d1) = 265103571 Dl.O(d2) = 263557519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7296226, s2 = 7172652, dlinesl.size( ) = 26 s1 = 8815710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8815710, s2 = 6802713, int(edited[s2]) = 0 s1 = 8815710, s2 = 6802713, d1 = 108, d2 = 117 Dl.O(d1) = 265487584,209671605,214105529,217746168,220784457,223370979,225606664 Dl.O(d2) = 152581331,139871128,126505123,112640326,98643618,84713265,258681958,37155958,255832091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8815710, s2 = 6802713, dlinesl.size( ) = 46 s1 = 7296505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10276378, s2 = 8073839, int(edited[s2]) = 0 s1 = 10276378, s2 = 8073839, d1 = 97, d2 = 65 Dl.O(d1) = 230878467,229400361,227735866,225838776,225838769,223663227,221152456,221152455,223663224,265665011,265809962,225838777,223663232,221152459,221152458,223663228,225838773,227735861,225838774,223663230,223663228,225838773,225838784,223663245,223663241,223663240,265665013,227735863,225838775,223663230,223663228,225838773,227735861,225838768,225838767,227735860,227735864,225838775,223663230,223663228,225838773,225838784,223663238,265123692,218219722,221152464,265503439,225838780,223663235,221152461,221152460,223663234,225838779,223663243,221152470,221152471,223663241,223663240,265665013,265661480 Dl.O(d2) = 37940973,29375201,29375200,37940971,268996612 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5407444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13756467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5480776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5480776, s2 = 7280352, int(edited[s2]) = 0 s1 = 5480776, s2 = 7280352, d1 = 6, d2 = 17 Dl.O(d1) = 225922977 Dl.O(d2) = 221263842,264922545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5480776, s2 = 7280352, dlinesl.size( ) = 8 s1 = 8817691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8817691, s2 = 5544970, int(edited[s2]) = 0 s1 = 8817691, s2 = 5544970, d1 = 7, d2 = 1 Dl.O(d1) = 218351314,221264761,223760538 Dl.O(d2) = 227810769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8817691, s2 = 5544970, dlinesl.size( ) = 2 s1 = 8817691, s2 = 5544970, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8817691, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5481868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8858490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15020457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15020457, s2 = 7707697, int(edited[s2]) = 0 s1 = 15020457, s2 = 7707697, d1 = 45, d2 = 43 Dl.O(d1) = 274843822,274843825,266570278,235544224,266399136,266196492,265957940 Dl.O(d2) = 265337530,218407480,214945876,273830880,191996119,273297436,150499264,261000432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15020457, s2 = 7707697, dlinesl.size( ) = 12 s1 = 5168434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7262535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14773375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14773375, s2 = 7760947, int(edited[s2]) = 0 s1 = 14773375, s2 = 7760947, d1 = 11, d2 = 18 Dl.O(d1) = 256752296,15001654,15001652,258629441,263063141,263828479,205908413,211004320,215168972,274261193 Dl.O(d2) = 274548511,266404991,236493164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14773375, s2 = 7760947, dlinesl.size( ) = 20 s1 = 16237097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5488207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16038731, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5491416, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13826755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7334259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7334259, s2 = 6802330, int(edited[s2]) = 0 s1 = 7334259, s2 = 6802330, d1 = 30, d2 = 23 Dl.O(d1) = 265541426 Dl.O(d2) = 258677510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7334259, s2 = 6802330, dlinesl.size( ) = 2 s1 = 7334259, s2 = 6802330, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7334259, Dl.E( ) = 50, 1.31e-05 seconds used appending s1 = 15815213, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16138785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16138785, s2 = 5424539, int(edited[s2]) = 0 s1 = 16138785, s2 = 5424539, d1 = 10, d2 = 6 Dl.O(d1) = 240963858,240479392,239957273,239394028,238783570,238119268 Dl.O(d2) = 274552460,229771278,228146983,226296249,224170541,221719407,218863631,215481802,211388903,206381233,200326525,193158367,184806311,175240356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16138785, s2 = 5424539, dlinesl.size( ) = 2 s1 = 16138785, s2 = 5424539, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16138785, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14140040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140040, s2 = 11246146, int(edited[s2]) = 0 s1 = 14140040, s2 = 11246146, d1 = 83, d2 = 63 Dl.O(d1) = 261552692,194822160,201765832,263432620,216373281,219642152,222403212,224773097,226829928,265332456,228623209,226829938,224773104,222403217,219642156,216373283,216373282,219642154,222403213 Dl.O(d2) = 193191552,193191551,264183109,211412109,264210662,200355277,193191552,262703296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140040, s2 = 11246146, dlinesl.size( ) = 8 s1 = 5496378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5496378, s2 = 13372116, int(edited[s2]) = 0 s1 = 5496378, s2 = 13372116, d1 = 53, d2 = 45 Dl.O(d1) = 226368250,265181320 Dl.O(d2) = 40599844,31891011,24363139,17967774,12733092,8652383,5627825,5627827,8652387,9326603,9326606,8974355,5858607,3657192,3657194,5858617,8974371,11146680,16053529,11519127,11519129,16527831,13454307,13454287,13454282,9200888,9200887,13454277,15234680,15234678,21199340,18590978,13458203,9203360,9203359,11267798,11267797,9005480,9005479,9925503,9925505,14429249,13458076,9203282,6025395,6025396,8591259,12653824,17868781,24245122,31756885,40451784,33236100,25487027,18883765,13456983,9202571,9202570,13456980,18883762,25487025,33236098,42196403 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11539494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5497624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16320437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5430542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5430542, s2 = 6607028, int(edited[s2]) = 0 s1 = 5430542, s2 = 6607028, d1 = 65, d2 = 29 Dl.O(d1) = 224327713,265711467 Dl.O(d2) = 256480876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5430542, s2 = 6607028, dlinesl.size( ) = 14 s1 = 15861753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15861753, s2 = 2538380, int(edited[s2]) = 0 s1 = 15861753, s2 = 2538380, d1 = 37, d2 = 31 Dl.O(d1) = 50011258,256519511,23827138,255563195,12331512,8330337,5376410,5376411,8330342,12331523,13307160,9088601,6822424,4279893,4279892,6762347,9084004,9084005,13296745,12344643,12205232,12205231,13271465,9056316,5920874,3702318,3702317,5920867,6847576,4296673,2568799,2568797,4296681,6847592,10389868,12087060,8128231,8128233,8126230,8126231,5927715,3706542,2219821,2219823,3706566,5927819,4587532,4587534,7274379,10988971,9102691,9080762,9074364,5934276,3720830,3720829,5949892,9094640,10281852,6757724,4234665,2531869,1459017,825968,825969,1459021,2531878,4234682,6757750,5480405,3372409,1984464,1984463,3372404,5480396,5480410,8478295,5585680,3465405,3465404,5585672,8596403,8130082,5208779,3177876,1860227,1860228,254213508,254467558,12089613,254967712,23474946,30910801,39520141,49452382,60854078,73603796,87225947,101226873,115305142,129233256,142603771,155240685,166925594,177464166,177464165,186771120,194876332,201814691,207655441,212471130,216408109,219672492,222429282,224795769,226850102,228641261,230216357,231615110,231319226,229888116,228276861 Dl.O(d2) = 47280701,37371464,28831875,21561302,15540225,254359100,10421728,10421729,15109439,21035782,22527083,16354259,11380837,7561161,4781109,4781111,7561169,11380864,16354272,22527099,29865533,22504535,22504534,27018619,20127664,20127665,254262026,13329556,13329554,18724551,23597227,23597226,17343643,17343645,22505398,17320886,12195955,8226188,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,8008714,11963913,11963882,8008674,8008673,7540708,4769884,2875457,1669174,949859,949860,1669179,2875467,4769903,7540752,254182454,254394942,254583912,22472298,16302780,16302783,16383836,22563434,29855964,22491208,22491205,254396618,37015671,28516439,28516440,29839510,35102606,31070363,23586612,23586613,24070436,24070437,18544045,13176270,13176269,18544044,15656474,15656473,14514716,13176292,8981797,5863898,5863897,8981795,13176289,255420756,38835961,254339422,32786092,25088217,25088213,32786053,36845222,41702957,254339394,60353452,60325575,48926863,48331221,48331222,47298949,37389802,28849894,28849893,28312689,28312690,29856299,22491726,22491729,29856307,38422765,37432856,37432855,47340546,58728677,71458721,85030582,255456688,138796057,125468106,111666842,97747870,83891211,70366713,70366714,83891214,97747872,99596363,259361796,72059034,85646309,85646311,259363289,72059028,258113018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15861753, s2 = 2538380, dlinesl.size( ) = 2 s1 = 15861753, s2 = 2538380, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15861753, Dl.E( ) = 38, 1.31e-05 seconds used appending s1 = 14774691, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16273215, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9660695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15029748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15029748, s2 = 7307924, int(edited[s2]) = 0 s1 = 15029748, s2 = 7307924, d1 = 6, d2 = 4 Dl.O(d1) = 232650726,266020096,228338951,226507670 Dl.O(d2) = 265236538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15029748, s2 = 7307924, dlinesl.size( ) = 2 s1 = 15029748, s2 = 7307924, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15029748, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 7350299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5435933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5436002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5436002, s2 = 5810083, int(edited[s2]) = 0 s1 = 5436002, s2 = 5810083, d1 = 7, d2 = 14 Dl.O(d1) = 224464069 Dl.O(d2) = 234882476,235837359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5436002, s2 = 5810083, dlinesl.size( ) = 24 s1 = 5504064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5504064, s2 = 7922544, int(edited[s2]) = 0 s1 = 5504064, s2 = 7922544, d1 = 33, d2 = 42 Dl.O(d1) = 226561353 Dl.O(d2) = 1653277,1653275,2849496,4729514,7483894,7253673,7253672,10959035,8514493,5512969,3400207,3400203,5512951,8514455,10626008,15377196,21353754,254540098,22363842,16210302,16210303,22363846,16662279,15239178,10512470,10512471,15239182,14091931,14091932,19658562,19658563,26392756,24216953,19818976,19818977,26630232,30598541,31723872,31723871,34268891,26392823,19658497,17119165,12030205,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,11960796,10725805,7086599,7086598,10725801,15508805,12032838,12032836,14088356,9690241,6373841,3999457,3999458,6373843,254521442,19655014,19654687,19654691,17122929,17122931,22003906,15903344,11025074,7299451,7299450,11025070,15466893,21468477,18785188,14207655,9767009,6421638,4028610,4028608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5504064, s2 = 7922544, dlinesl.size( ) = 2 s1 = 5504064, s2 = 7922544, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5504064, Dl.E( ) = 54, 2.29e-05 seconds used appending s1 = 15995587, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11523904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11523904, s2 = 7501983, int(edited[s2]) = 0 s1 = 11523904, s2 = 7501983, d1 = 28, d2 = 12 Dl.O(d1) = 265727620,274349760,212036008,212036007,265209395,224533439,265871635,265871630,219337823,216029340,264516171,201221123,194180636,194180635,201221120,201221156,201221157,207148232,212036015,274349757,226618607,266002545,230033759,274412352,224533445,224533444,226618602,265871633,231451148,266431349,266596989,266737553,239496815,240051294 Dl.O(d2) = 267277449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11523904, s2 = 7501983, dlinesl.size( ) = 2 s1 = 11523904, s2 = 7501983, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11523904, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 16224508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5439028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5439028, s2 = 11614365, int(edited[s2]) = 0 s1 = 5439028, s2 = 11614365, d1 = 0, d2 = 35 Dl.O(d1) = 224544363 Dl.O(d2) = 242387612,242020801,241622226,241190616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5439028, s2 = 11614365, dlinesl.size( ) = 2 s1 = 5439028, s2 = 11614365, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5439028, Dl.E( ) = 54, 4.6e-05 seconds used appending s1 = 8823680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8823680, s2 = 13451217, int(edited[s2]) = 0 s1 = 8823680, s2 = 13451217, d1 = 89, d2 = 68 Dl.O(d1) = 265218387,224572825,224572826,265874553,228468917,266005251 Dl.O(d2) = 50436958,50436959,258075975,61927514,61927515,74721152,270300296,60672701,50436942,40402908,257097199,61927497,71497538,58768037,258075992,47380812,258075995,258212433,87036852,74721142,71497532,60672700,49272080,39345829,30746276,23325001,255977963,39345831,39346091,39346090,47380745,58767965,60672704,61927498,71497535,58768034,47380810,37473520,28932082,28932083,37473522,47380814,58767962,257024284,47380750,37473455,37473454,47380749,39346084,30746495,30746279,23325003,23325002,268662299,49272085,268972950,37473449,37473450,37473445,28931994,28931995,30746222,255530660,11967621,11967622,255977943,23324844,17059282,17059284,255850963,15619843,10807295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8823680, s2 = 13451217, dlinesl.size( ) = 2 s1 = 8823680, s2 = 13451217, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8823680, Dl.E( ) = 90, 2.19e-05 seconds used appending s1 = 7397854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7397854, s2 = 7200944, int(edited[s2]) = 0 s1 = 7397854, s2 = 7200944, d1 = 17, d2 = 20 Dl.O(d1) = 266238036 Dl.O(d2) = 265007666,263926335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7397854, s2 = 7200944, dlinesl.size( ) = 18 s1 = 14764737, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5509470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5369044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5511042, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7306873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7306873, s2 = 7761987, int(edited[s2]) = 0 s1 = 7306873, s2 = 7761987, d1 = 11, d2 = 13 Dl.O(d1) = 265224883 Dl.O(d2) = 274562665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7306873, s2 = 7761987, dlinesl.size( ) = 14 s1 = 13884541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7339024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7387001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7307925, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14141667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7271123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7752002, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16239386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16239386, s2 = 7308767, int(edited[s2]) = 0 s1 = 16239386, s2 = 7308767, d1 = 7, d2 = 7 Dl.O(d1) = 28274333,28274332,22456166,22456167,29823330,38395693,36769540,36769539,29030050,21739175,21739176,29030051,37577224,269323359,58864974,71587965,85155171,85155170,259951987,113067643,113067642,126921749,140269911,152960368,262678207,185072596,193396766,200540271,264481595,215628655,218994381,221835578,224273194,265707527,228228589,265985461,266323765,235754944,236632308,237431792,238157623,238818433,238373439,237669337,236893844,266534615,235104305,234073137,232940355,231689061,230296556,228730695,226952019,224912341,265246515,207905395,202105583,195205642,263242833,155731014,143177205,129846002,115946079,101899848,87925794,258262449,40049248,31368728,23873903,17529592,12363525,12363526,17529594,23873908,23873902,23873797,17529520,12363489,8354195,8354194,255176825,12666118,17381298,12248205,10016850,10016851,14557065,17540129,23158601,17550983,17550982,17567904,12666693,8602094,5589897,3467962,2056372,1179660,1179661,2056378,3467974,5589933,7679857,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345773,8286488,12271180,12675831,8608368,5594062,3470619,3469235,3469236,5591855,3469237,2057259,1180296,662823,367614,367615,366409,201349,109807,109808,200683,200684,366778,660999,661001,662328,367209,366396,200404,200406,109473,267735661,33748,60055,254075799,33874,19399,11097,11098,19402,33880,60303,109670,109466,60047,33743,33742,60044,60360,60361,109941,109696,60186,33820,19358,19359,33823,60192,109701,254090703,109075,59811,59810,33915,33887,19404,11099,254070161,33889,60317,109875,109873,109872,201434,367849,366691,200606,200605,366688,661399,663299,367957,367956,663297,1180157,662732,367522,367521,254139913,2057093,3469076,5591288,5591234,3468756,3463240,2053900,1178439,1178438,254139903,367490,367489,662678,1180081,2056972,2052611,1177515,661048,661046,1177509,2052604,3461310,3468843,3468792,2056910,2056909,2053848,1178399,661723,661722,1178396,2053842,3463170,267849453,254282957,3468845,254615359,3468841,2056954,2056953,2056974,3468855,2058163,2058162,3470613,5577804,5593985,5593986,8608229,12675647,17894962,17852244,17852245,17865382,12669354,12669353,268264245,17854825,12644539,8585490,5578780,5578779,5593997,5593998,8608240,5593992,5593991,5594309,5594308,8584417,8584416,12642931,12651530,17851928,17851929,24223396,31731612,31778722,24266193,24266195,31778726,37859226,47783227,39291904,31370940,31370939,40051852,40448356,40364243,255846316,24731182,18258264,12954932,8815472,5743011,5743012,8815473,12954933,11936115,7988229,5084213,3083917,1799946,1799947,2709956,2709959,3087565,2712923,1801470,1801469,3070350,1804144,1030129,1030130,1804151,3088955,4516358,5066320,3070364,2713122,1571672,893570,504167,504168,893577,1571678,1779119,3053609,4886986,5044116,4515948,2713731,1572142,893863,581149,581148,1031275,1805906,254253289,1789789,3069781,254563383,5069644,3073342,1792706,1792705,3073338,5048667,5042764,3053310,1778881,1778882,3053311,5042765,3086993,1802555,1802558,3057374,1782023,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799492,1799491,3065991,2580362,2580364,254490073,7950069,11890304,7954074,5059018,3065025,1786682,1018797,574150,574149,1018794,1786672,1019145,1019146,1787406,3066352,3079645,3065586,3065585,1797517,1025694,1018900,574196,574197,321472,177767,97898,97899,177771,321480,574265,1019051,1787227,1786804,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,5391454,8352933,7985553,5082294,5063339,3067839,1788373,1788372,3067856,5063368,7960145,11902136,11932324,7985191,7985190,7994354,254379665,1803282,1029524,580105,324425,179205,98571,54507,54506,98569,179203,324421,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196 Dl.O(d2) = 28274333,28274332,22456166,22456167,29823330,38395693,36769540,36769539,29030050,21739175,21739176,29030051,37577224,269323359,58864974,71587965,85155171,85155170,259951987,113067643,113067642,126921749,140269911,152960368,262678207,185072596,193396766,200540271,264481595,215628655,218994381,221835578,224273194,265707527,228228589,265985461,266323765,235754944,236632308,237431792,238157623,238818433,238373439,237669337,236893844,266534615,235104305,234073137,232940355,231689061,230296556,228730695,226952019,224912341,265246515,207905395,202105583,195205642,263242833,155731014,143177205,129846002,115946079,101899848,87925794,258262449,40049248,31368728,23873903,17529592,12363525,12363526,17529594,23873908,23873902,23873797,17529520,12363489,8354195,8354194,255176825,12666118,17381298,12248205,10016850,10016851,14557065,17540129,23158601,17550983,17550982,17567904,12666693,8602094,5589897,3467962,2056372,1179660,1179661,2056378,3467974,5589933,7679857,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345773,8286488,12271180,12675831,8608368,5594062,3470619,3469235,3469236,5591855,3469237,2057259,1180296,662823,367614,367615,366409,201349,109807,109808,200683,200684,366778,660999,661001,662328,367209,366396,200404,200406,109473,267735661,33748,60055,254075799,33874,19399,11097,11098,19402,33880,60303,109670,109466,60047,33743,33742,60044,60360,60361,109941,109696,60186,33820,19358,19359,33823,60192,109701,254090703,109075,59811,59810,33915,33887,19404,11099,254070161,33889,60317,109875,109873,109872,201434,367849,366691,200606,200605,366688,661399,663299,367957,367956,663297,1180157,662732,367522,367521,254139913,2057093,3469076,5591288,5591234,3468756,3463240,2053900,1178439,1178438,254139903,367490,367489,662678,1180081,2056972,2052611,1177515,661048,661046,1177509,2052604,3461310,3468843,3468792,2056910,2056909,2053848,1178399,661723,661722,1178396,2053842,3463170,267849453,254282957,3468845,254615359,3468841,2056954,2056953,2056974,3468855,2058163,2058162,3470613,5577804,5593985,5593986,8608229,12675647,17894962,17852244,17852245,17865382,12669354,12669353,268264245,17854825,12644539,8585490,5578780,5578779,5593997,5593998,8608240,5593992,5593991,5594309,5594308,8584417,8584416,12642931,12651530,17851928,17851929,24223396,31731612,31778722,24266193,24266195,31778726,37859226,47783227,39291904,31370940,31370939,40051852,40448356,40364243,255846316,24731182,18258264,12954932,8815472,5743011,5743012,8815473,12954933,11936115,7988229,5084213,3083917,1799946,1799947,2709956,2709959,3087565,2712923,1801470,1801469,3070350,1804144,1030129,1030130,1804151,3088955,4516358,5066320,3070364,2713122,1571672,893570,504167,504168,893577,1571678,1779119,3053609,4886986,5044116,4515948,2713731,1572142,893863,581149,581148,1031275,1805906,254253289,1789789,3069781,254563383,5069644,3073342,1792706,1792705,3073338,5048667,5042764,3053310,1778881,1778882,3053311,5042765,3086993,1802555,1802558,3057374,1782023,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799492,1799491,3065991,2580362,2580364,254490073,7950069,11890304,7954074,5059018,3065025,1786682,1018797,574150,574149,1018794,1786672,1019145,1019146,1787406,3066352,3079645,3065586,3065585,1797517,1025694,1018900,574196,574197,321472,177767,97898,97899,177771,321480,574265,1019051,1787227,1786804,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,5391454,8352933,7985553,5082294,5063339,3067839,1788373,1788372,3067856,5063368,7960145,11902136,11932324,7985191,7985190,7994354,254379665,1803282,1029524,580105,324425,179205,98571,54507,54506,98569,179203,324421,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16239386, s2 = 7308767, dlinesl.size( ) = 2 s1 = 16239386, s2 = 7308767, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16239386, Dl.E( ) = 8, 1.29e-05 seconds used appending s1 = 15959735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15959735, s2 = 5305001, int(edited[s2]) = 0 s1 = 15959735, s2 = 5305001, d1 = 0, d2 = 0 Dl.O(d1) = 235142990,234117307,232989761,231743380,230355783,228794205,227021421,224989494,222650934,219927447,216699777,212805392,208041643,202264068,195392524,187356180,178123790,167664774,156059463,143523677,130194811,116356886,270879648,270360022,61842050,50358047,40331081,40331080,40868133,48715677,38794285,38794286,48715678,60110452,72846749,86441188,258454876,128296100,260924328,176688908,186103665,194309221,201336557,207250745,212128067,216113094,218433063,214974670,210769794,205621946,199398638,192043456,183494125,173715958,162707172,150609088 Dl.O(d2) = 235142990,234117307,232989761,231743380,230355783,228794205,227021421,224989494,222650934,219927447,216699777,212805392,208041643,202264068,195392524,187356180,178123790,167664774,156059463,143523677,130194811,116356886,270879648,270360022,61842050,50358047,40331081,40331080,40868133,48715677,38794285,38794286,48715678,60110452,72846749,86441188,258454876,128296100,260924328,176688908,186103665,194309221,201336557,207250745,212128067,216113094,218433063,214974670,210769794,205621946,199398638,192043456,183494125,173715958,162707172,150609088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15959735, s2 = 5305001, dlinesl.size( ) = 2 s1 = 15959735, s2 = 5305001, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15959735, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 7309483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7309483, s2 = 2020865, int(edited[s2]) = 0 s1 = 7309483, s2 = 2020865, d1 = 27, d2 = 39 Dl.O(d1) = 265254453 Dl.O(d2) = 173843538,162883117,150849129,137935206,124333880,110248015,96067120,270174495,56043420,45061828,35571938,35571936,35943246,35852013,27580340,20548640,14740723,10136838,10136834,14740702,20548579,27529370,20514795,20514792,27340261,20749731,20749729,27886304,27414400,20439833,14667340,14667343,20370456,14665956,14632127,10131377,10131373,10077064,10077062,10064044,6611558,4182677,2501000,2500773,1442930,1442929,2496927,1441225,1441220,2496944,4177142,6670497,10155168,14766303,20586666,27638092,35938545,45591730,56738580,69305186,69708051,57085955,57085953,68547207,68276064,68276063,68974435,82496305,82116292,68591227,56262277,56262275,68757423,61857306,50371677,50371673,46099265,45775169,36066439,27721935,27412526,27412523,35593093,27803621,20694751,14837389,10209199,10205876,10205877,10207061,6707065,4202749,4202747,6707101,10207157,14841961,20701813,27814239,36202808,45966786,57222621,62768017,62768018,70149887,57485872,46177501,46177502,56279673,56279674,256579394,62916592,62916591,57045528,45827456,45827455,40344926,256038065,17778782,12582464,12582465,255585793,31652953,257092737,61862992,258907675,69513330,69513329,77802588,77570611,64402460,52529025,42171045,33211464,25463952,255262249,9190346,9190347,255262251,21879328,29191085,33211475,33211474,40385022,40385023,42332635,52719764,64619930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7309483, s2 = 2020865, dlinesl.size( ) = 2 s1 = 7309483, s2 = 2020865, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7309483, Dl.E( ) = 40, 1.1e-05 seconds used appending s1 = 8812097, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7747329, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16275717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14566703, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5387991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15167403, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8887018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8887018, s2 = 2693694, int(edited[s2]) = 0 s1 = 8887018, s2 = 2693694, d1 = 42, d2 = 63 Dl.O(d1) = 274610452,230481117,265774949 Dl.O(d2) = 264418166,209253651,203773551,197209428,263022672,180608031,170469328,159126123,146751599,133495315,119623572,105387111,91165003,77246587,64100089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8887018, s2 = 2693694, dlinesl.size( ) = 2 s1 = 8887018, s2 = 2693694, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8887018, Dl.E( ) = 64, 2.6e-05 seconds used appending s1 = 11523900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7757413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7757413, s2 = 14894042, int(edited[s2]) = 0 s1 = 7757413, s2 = 14894042, d1 = 50, d2 = 62 Dl.O(d1) = 274487851 Dl.O(d2) = 255790797,15001070,10331307,6799452,4263877,2549249,1468528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7757413, s2 = 14894042, dlinesl.size( ) = 2 s1 = 7757413, s2 = 14894042, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7757413, Dl.E( ) = 68, 1.5e-05 seconds used appending s1 = 5315101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7791937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13821219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8740592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10283933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5468996, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7333121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5053614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7322181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13285979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7314288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7357892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10358825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10358825, s2 = 8537958, int(edited[s2]) = 0 s1 = 10358825, s2 = 8537958, d1 = 48, d2 = 64 Dl.O(d1) = 263767574 Dl.O(d2) = 201359580,194334238,186131992,176719941,166082958,154333222,141680661 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8850090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8850090, s2 = 4223513, int(edited[s2]) = 0 s1 = 8850090, s2 = 4223513, d1 = 26, d2 = 24 Dl.O(d1) = 265863336,265718722,230825595,229336949,227658119 Dl.O(d2) = 172461305,161261793,259371998,121777202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8850090, s2 = 4223513, dlinesl.size( ) = 12 s1 = 5476601, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5409036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5409036, s2 = 5977249, int(edited[s2]) = 0 s1 = 5409036, s2 = 5977249, d1 = 21, d2 = 44 Dl.O(d1) = 223709988,225879870 Dl.O(d2) = 242616533,242264948,241885384,241473760,241473762,241885387,242264952,242616538,242943498,242616534,267088410,241473761,241473762,241885386,267048120,241030163,240551496,240036220,239480719,238879650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5409036, s2 = 5977249, dlinesl.size( ) = 2 s1 = 5409036, s2 = 5977249, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5409036, Dl.E( ) = 46, 1.19e-05 seconds used appending s1 = 14143868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7765676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7383262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7383262, s2 = 11497736, int(edited[s2]) = 0 s1 = 7383262, s2 = 11497736, d1 = 15, d2 = 0 Dl.O(d1) = 266081549,274501133 Dl.O(d2) = 199347988,263440407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7383262, s2 = 11497736, dlinesl.size( ) = 18 s1 = 7763385, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5483328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5483328, s2 = 9026837, int(edited[s2]) = 0 s1 = 5483328, s2 = 9026837, d1 = 194, d2 = 186 Dl.O(d1) = 225984035,227866228,229519716,227866227,227866228,229519716,265959299,230988545 Dl.O(d2) = 32248533,32248532,38257289,38257288,44758183,35330161,35330160,35330159,256356368,55668677,269325766,258711242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5483328, s2 = 9026837, dlinesl.size( ) = 56 s1 = 7279931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8802355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15865259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15865259, s2 = 14188792, int(edited[s2]) = 0 s1 = 15865259, s2 = 14188792, d1 = 58, d2 = 44 Dl.O(d1) = 95166382,81107690,81107689,95166381,109423017,109423015,95166376,81107682,67641549,55303063,55303064,67641551,55303067,44458353,44458354,55303070,258380106,52087941,52087942,63907047,63907046,67641546,55303061,44458346,44458348,41774303,268484727,18590639,255645782,18590634,256107665,41774284,257205013,33277274,33277275,42256943,52642468,64541664,256573944,42256954,42256944,42256945,50275708,52087947,41774311,32853584,32853586,41774315,52087952,63907062,77018633,63907083,52087968,52087969,63907084,77018653,77018641,63907071,52087958,52087957,63907069,77018639,90898548,95214682,95214681,90898554,90898555,105078616,119271690,119271741,105078651,259466132,111666191,97747200,88616062,88616061,102622377,108655371,94367647,94367646,84621470,71058378,58342479,50988146,40853308,40853309,50988148,50988128,40853293,40853294,50988129,49930640,39912156,39912157,255535114,59991675,72729130,257386732,114320219,258621262,114320219,262743675,163379417,263823163,205843995,210949501,274332886 Dl.O(d2) = 261003128,75426417,62507437,255340352,32033198,24470817,18050702,12796481,8700076,5662965,3522043,2095325,1205735,679652,679653,1188509,667755,370421,202800,110606,60713,60709,34351,34349,35439,35442,64235,69297,121304,220721,267776839,267923871,254807482,4981752,3009388,1748407,994186,994183,1748415,3010008,4982784,7849749,6008186,3757764,3757765,6008188,9179633,13426180,10502967,10502965,7849388,267985295,10496027,10496026,11753073,16807338,19577161,26300311,21184579,15222870,10500668,6924098,4349845,2605136,2605137,4349849,6924107,10500687,15222897,21184619,17006666,11920133,7974556,5074684,3077315,3077316,5074688,7974569,9326827,9326828,13040089,8881706,8881709,13040100,10501390,10501373,6924542,6924543,9105524,13326475,15224024,15222786,15222789,21180682,15226092,10502775,6925420,6925418,10495478,10495477,6920983,6920981,10495623,15215350,13466785,9208987,8958248,5847265,5847263,8958244,10501907,10501906,15224807,21187094,15618500,15618499,15215700,15215702,21175187,16483990,16483995,22160099,16352730,11379532,255097131,22525722,29881423,38439575,48342935,59727279,72462855,260012619,127932551,141293809,259481848,136730908,122899032,108634660,94347264,80291029,66861663,54603563,43860790,34590657,34590660,29546485,22202958,16073445,11161523,11161525,11254167,11254164,16190226,22337836,268403758,5984980,3742389,3742390,5984886,4897171,4865501,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15865259, s2 = 14188792, dlinesl.size( ) = 48 s1 = 5549805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5549805, s2 = 14132526, int(edited[s2]) = 0 s1 = 5549805, s2 = 14132526, d1 = 8, d2 = 16 Dl.O(d1) = 227956054 Dl.O(d2) = 265161402,218582929,215150895,210983627,210983626,215150893,218582924,221471805,218582929,218582928,221471811,221471809,221471808,223947071,226089982,227956052,226089981,223947065,223947064,223947068,223947067,223947070,223947071,226089982,227956052,227956050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5549805, s2 = 14132526, dlinesl.size( ) = 2 s1 = 5549805, s2 = 14132526, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5549805, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 8833431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8696899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8696899, s2 = 15223940, int(edited[s2]) = 0 s1 = 8696899, s2 = 15223940, d1 = 50, d2 = 54 Dl.O(d1) = 174432812,184085937,192540443,199815995,264447535,215206383,218629204,265351133,223978588,226117205,227980341 Dl.O(d2) = 48173269,59559859,258756505,59559855,59559856,59559854,48173262,256047554,38263254,38263253,256294406,22318791,22318790,16933008,16933007,17188937,23469533,256399952,29697640,22343999,22344000,23213518,30636395,24732186,18259281,16194782,16194781,22343828,26038420,19360501,13848089,9499835,6230985,6230986,254947071,19360505,255497082,13848085,13848083,16595617,11574275,7704101,4875839,4875841,7704105,11574283,16595637,22814041,24077591,17720701,17720699,24077588,30625340,30625295,23202907,23202908,30625299,39223082,49149726,39512209,38235436,29670042,23202962,16933049,11851161,7920833,5035797,5035796,7920830,11851153,16933039,23202953,30625353,39223132,36803585,36803586,39223150,30625369,23202974,16933054,16933056,256470091,38790339,30625410,30625411,38263179,29697407,23370331,23370330,30796767,39223171,30625400,255939810,48172623,47782790,39218566,39218565,256440074,49145102,39218568,30621366,30621367,39218570,39234011,30636091,28097927,20922623,15015337,15015335,20922617,28097920,24342367,23359046,23359048,30784018,29487471,29487470,31555172,31555173,31702657,31702658,37954981,37954980,255805422,38263227,38263995,29698150,22344436,255905331,255940332,59560089,60791333,59351445,47960843,47960842,59351444,49038390,39108519,30511416,30511415,39108518,49038388,40402623,31710528,31710526,40402622,256041953,24202896,31710541,40402633,40233097,40233086,31546899,256031877,24043273,255580087,17690909,12513203,12513204,8573445,5569305,3453179,3453178,5569297,8573420,12627778,17833255,24202813,31710456,40402568,258276725,50249523,50249522,61728158,61731038,74512910,88125249,97942754,84069911,257564378,50249528,256537571,31543276,37979207,29416291,268444903,255190263,12509883,268922382,31542894,40229241,47896484,269334987,46476063,256382512,20958354,20958355,28136326,36610058,36610116,36610125,28136388,20958404,15049418,15049420,20958407,20958409,28136391,25119026,18567887,18567886,25119024,29416097,33331365,29455838,29455835,37979237,29416343,29416344,31547556,31543186,24039895,255886850,22085996,15979820,15979819,22085993,24042465,24042464,31545997,38017271,38017955,37979242,29416353,29416086,22085768,15979544,11093079,7356896,4647253,4647254,7356901,11093085,15979480,11093185,7356981,4647298,4647297,7356978,11093182,15979652,254523636,254234998,2799326,254523119,11093190,15979660,22085737,17688193,17688192,22085859,255075112,15979828,15979793,11093343,7357105,4647357,2799367,1623888,923376,520534,291809,291808,520528,923367,1623861,2799331,4647125,4647126,7356682,7370462,7370454,7356977,4647295,4647291,7356821,4647209,4647213,7356829,11092951,8474824,8474823,12509936,11093166,11093026,11093027,11093043,11093042,7370424,7370423,11112900,16007103,11112940,11112941,11092700,7356639,7356640,7356771,4647196,4647198,7356798,11092899,11092909,11092908,7357122,4647369,2799362,2799311,1623846,923358,923357,923346,923345,1623814,2799256,4647173,7356754,4656180,2805055,1627238,1627239,2805063,4656187,7357129,7357088,7357089,11092947,15979425,17688191,17688190,15979492,11093032,7356873,7356874,11092912,11092913,15979392,13526739,9257657,9257658,11092708,7356647,4647102,2799218,1623796,923337,923336,1623791,2799210,3371118,3371117,5478265,8475003,8477104,8474711,5478069,3371008,1983649,1983653,3371014,1983672,1983671,3371045,5478131,8474818,12509784,12509785,8475347,5478467,5478468,8475351,8474607,8474606,12509688,15979377,12510673,12510671,11258177,7473752,7370583,4656249,4656247,7370576,11113096,16007296,22121049,17687108,12509021,8474136,5477705,3370802,1983533,1983532,3370797,5477690,254863789,8474528,254863839,11257791,16195094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8696899, s2 = 15223940, dlinesl.size( ) = 32 s1 = 15211927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8786113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8786113, s2 = 11415766, int(edited[s2]) = 0 s1 = 8786113, s2 = 11415766, d1 = 16, d2 = 8 Dl.O(d1) = 224061550,221602089,218738435,215346204,215346205,218738436,265356841,274457155,215346221,215346222,218738442,265532615 Dl.O(d2) = 264455728,263841998,200138796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8786113, s2 = 11415766, dlinesl.size( ) = 2 s1 = 8786113, s2 = 11415766, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8786113, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 10359191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10359191, s2 = 8834132, int(edited[s2]) = 0 s1 = 10359191, s2 = 8834132, d1 = 85, d2 = 70 Dl.O(d1) = 261047617,264440625 Dl.O(d2) = 226213483,224081121,224081122,226213487,224081130,221622474,218759529,218759528 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7318445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7318445, s2 = 11602040, int(edited[s2]) = 0 s1 = 7318445, s2 = 11602040, d1 = 9, d2 = 16 Dl.O(d1) = 265361401 Dl.O(d2) = 267007534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7318445, s2 = 11602040, dlinesl.size( ) = 2 s1 = 7318445, s2 = 11602040, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7318445, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 7325254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7325254, s2 = 8820879, int(edited[s2]) = 0 s1 = 7325254, s2 = 8820879, d1 = 22, d2 = 18 Dl.O(d1) = 265436459 Dl.O(d2) = 262893462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7325254, s2 = 8820879, dlinesl.size( ) = 30 s1 = 7319708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5497196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5497196, s2 = 11487272, int(edited[s2]) = 0 s1 = 5497196, s2 = 11487272, d1 = 10, d2 = 2 Dl.O(d1) = 226386234 Dl.O(d2) = 219637290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5497196, s2 = 11487272, dlinesl.size( ) = 64 s1 = 7244815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9272353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5499640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7285836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7285836, s2 = 11583980, int(edited[s2]) = 0 s1 = 7285836, s2 = 11583980, d1 = 31, d2 = 7 Dl.O(d1) = 264983595,265384391 Dl.O(d2) = 235797803,235797804,236670432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7285836, s2 = 11583980, dlinesl.size( ) = 44 s1 = 14138008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5505154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8882816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7322034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7347243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7347243, s2 = 10212262, int(edited[s2]) = 0 s1 = 7347243, s2 = 10212262, d1 = 66, d2 = 10 Dl.O(d1) = 265686882 Dl.O(d2) = 57773382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7347243, s2 = 10212262, dlinesl.size( ) = 14 s1 = 16322260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5570408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5570408, s2 = 11107516, int(edited[s2]) = 0 s1 = 5570408, s2 = 11107516, d1 = 70, d2 = 98 Dl.O(d1) = 228488424 Dl.O(d2) = 255940441,22821735,30213784,38797897,48718998,257393640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5570408, s2 = 11107516, dlinesl.size( ) = 66 s1 = 15961593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10269870, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7365150, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5709644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5709644, s2 = 6764954, int(edited[s2]) = 0 s1 = 5709644, s2 = 6764954, d1 = 52, d2 = 22 Dl.O(d1) = 232321956,274600906 Dl.O(d2) = 258203795 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9596951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5576077, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14650989, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16233352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9613483, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9047292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5221816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5221816, s2 = 10280289, int(edited[s2]) = 0 s1 = 5221816, s2 = 10280289, d1 = 6, d2 = 11 Dl.O(d1) = 216753885,216753886,212866789,212866788,274523432,227055562,228824422,230382593 Dl.O(d2) = 234135396,266362311,233010429,231766809,231766810,233010430,234135395,234135397,234135398,234135399,266152865,231766811,233010434,233010429,231766809,231766810,233010432,234135398,233933538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5221816, s2 = 10280289, dlinesl.size( ) = 2 s1 = 5221816, s2 = 10280289, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5221816, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8842153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360422, s2 = 8735443, int(edited[s2]) = 0 s1 = 10360422, s2 = 8735443, d1 = 69, d2 = 153 Dl.O(d1) = 231704345 Dl.O(d2) = 207701781,207701788,201872697,201872696,201872719,194945688,186851920,177563784,167057814,155417824,155417823,167057812,177563782,186851914,187506922,187506921,195519271,263792960,186851911,177563781,177563780,186851909,194945672,194945666,186851903,177563777,167057808,167057809,177563779,186851906,186851903,186851902,194945665,201872690,207701782,207701800,263426098,194945673,186851910,177563781,167057810 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7833923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7833923, s2 = 5825466, int(edited[s2]) = 0 s1 = 7833923, s2 = 5825466, d1 = 44, d2 = 37 Dl.O(d1) = 1264331,720576,407903,407902,720572,1264324,2181453,3649093,5847379,8958458,13143700,255639009,257756449,270497649,263697409,203372530,264120486,265463883 Dl.O(d2) = 266641178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7833923, s2 = 5825466, dlinesl.size( ) = 32 s1 = 10360618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7328450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7328450, s2 = 6554301, int(edited[s2]) = 0 s1 = 7328450, s2 = 6554301, d1 = 84, d2 = 99 Dl.O(d1) = 265472879 Dl.O(d2) = 255906832,28395282,23052747,23052746,30460543,24860845,18364179,13040099,13040100,10501390,10501373,6924542,6924543,9105524,13326474,18720706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7328450, s2 = 6554301, dlinesl.size( ) = 2 s1 = 7328450, s2 = 6554301, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7328450, Dl.E( ) = 128, 3.6e-05 seconds used appending s1 = 5594526, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11547428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547428, s2 = 13605792, int(edited[s2]) = 0 s1 = 11547428, s2 = 13605792, d1 = 2, d2 = 6 Dl.O(d1) = 230842615,230760765 Dl.O(d2) = 227557607,225613822,223378707,223378709,225613819,223378702,223378701,225613818,227557601,227557605,227557604,225613820,223378706,220793000,217755979,214116752,209684128,204281522,197806200,190206537,181405303,171385625,160167435,147919824,147919823,134801590,134801589,121005250,106752567,92447680,78411982,78411981,78411983,65130321,53145373,42694874,33664150,25857994,19200726,13712971,9392331,6153099,3850014,3850015,6153101,9392333,13712970,19200725,17712993,17712992,24068917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547428, s2 = 13605792, dlinesl.size( ) = 2 s1 = 11547428, s2 = 13605792, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11547428, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 5538456, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5538456, s2 = 8913355, int(edited[s2]) = 0 s1 = 5538456, s2 = 8913355, d1 = 0, d2 = 19 Dl.O(d1) = 227583534 Dl.O(d2) = 274694126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5538456, s2 = 8913355, dlinesl.size( ) = 26 s1 = 7278484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13869645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136251, s2 = 11407682, int(edited[s2]) = 0 s1 = 14136251, s2 = 11407682, d1 = 14, d2 = 10 Dl.O(d1) = 262971016,263752572,264384572,226258584,226258585,225858807,274154526,228112615,265311952,221673522,221673521,224128822,226258585,225858807,225858808,227754527,228112612,264894986,221673515,218814497,274087631,206320636,200258703,193081248,263852903,193081246 Dl.O(d2) = 211333055,265170723,215429306,211333057,206320637,200258703,193081248,184717471,175139152,164344869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136251, s2 = 11407682, dlinesl.size( ) = 2 s1 = 14136251, s2 = 11407682, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14136251, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 5166335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5166335, s2 = 11565318, int(edited[s2]) = 0 s1 = 5166335, s2 = 11565318, d1 = 98, d2 = 14 Dl.O(d1) = 214954811,218415482,221322987,265515689 Dl.O(d2) = 233493494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5166335, s2 = 11565318, dlinesl.size( ) = 60 s1 = 7394205, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16167755, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5661521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5661521, s2 = 5073659, int(edited[s2]) = 0 s1 = 5661521, s2 = 5073659, d1 = 9, d2 = 0 Dl.O(d1) = 231051392,229594358 Dl.O(d2) = 215149136,210981672,205882159,199716389,192426817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5661521, s2 = 5073659, dlinesl.size( ) = 2 s1 = 5661521, s2 = 5073659, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5661521, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 13868571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15015967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15015967, s2 = 5423713, int(edited[s2]) = 0 s1 = 15015967, s2 = 5423713, d1 = 1, d2 = 38 Dl.O(d1) = 125978200 Dl.O(d2) = 224147620,221692690,218833741,264923804,206346457,200289500,193117093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15015967, s2 = 5423713, dlinesl.size( ) = 2 s1 = 15015967, s2 = 5423713, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15015967, Dl.E( ) = 50, 1.41e-05 seconds used appending s1 = 9289805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9284901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8900670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8671285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5557558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5559481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5559481, s2 = 7309166, int(edited[s2]) = 0 s1 = 5559481, s2 = 7309166, d1 = 66, d2 = 145 Dl.O(d1) = 228216952 Dl.O(d2) = 264805903,265424551,226874617,228662452,274522569,224824578,222462364,219711549,216454237,263963438,194970754,186878661,177591388,261274014,261274016,273155608,264554431,216454238,219711550,264806270,216454384,212526887,207722757,207722758,207722732,201895920,262798358,177591438,186878706,194970796,201895922,206459439,211460324,264554758,219711071,216453922,212526558,273885226,264257718,200412419,206459436,273733712,193254621,273733714,264274820,207722675,272894616,177591367,262772960,164608698,262667689,184916411,263865527,206459441,273885240,207722728,201895914,262798356,273155614,263614310,212526863,216454366,265250917,212745458,207973630,202186106 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7335295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7335295, s2 = 15597842, int(edited[s2]) = 0 s1 = 7335295, s2 = 15597842, d1 = 93, d2 = 82 Dl.O(d1) = 265552293 Dl.O(d2) = 259311688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7335295, s2 = 15597842, dlinesl.size( ) = 32 s1 = 5579199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8850988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5436289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14344991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14344991, s2 = 299875, int(edited[s2]) = 0 s1 = 14344991, s2 = 299875, d1 = 78, d2 = 51 Dl.O(d1) = 216064789,219369442,222162099,224559708,226642582,228458263 Dl.O(d2) = 42129462,33173048,33173047,30216243,22823971,16603420,11579751,11579750,16603417,22823962,23598343,23598246,17285898,12165116,8196474,8196473,12165111,17285885,23598218,17285932,17285931,23598299,29607928,22257475,19413155,13888919,13888918,19413148,26103698,29609597,22259324,22259325,23598323,31081949,29609617,22259335,22259334,29609612,27667698,27667697,31202253,31202255,38174828,29607857,29607858,29609448,38174929,38174928,48087181,48721260,47260257,38800309,30216235,30216238,38800312,38174686,38174685,48086988,49778228,39759573,31081803,23598234,23598235,29607896,23598210,23598209,31081775,29608325,29608324,38174699,38174673,36922202,33937959,33937942,33937943,38175200,29608299,22257839,255898279,29608284,29608283,29608125,22257661,16118273,16118249,16118248,22257621,22257854,16118479,16118478,16118422,16118421,22257528,29607989,29608536,22258021,22258020,22258031,16118596,16118597,22258034,29608034,22257576,21200158,21200157,22257562,29607879,22257440,22257428,16118105,16118109,22257429,22259341,22257372,16118054,16118055,16118463,16118131,11196192,7428914,4694282,4694286,4694308,4694307,7428957,11196253,7430218,7430216,7429294,7429293,11196631,16118412,11197406,7429806,4694899,4694901,7429812,11196141,11196224,7428940,7428939,7428913,4694281,2828420,2828418,4694277,7428906,4695219,2828950,1641354,1641355,2828956,4694527,2828555,1641135,933211,933212,1641139,2828566,4694543,4694861,7429768,7429869,4694960,4694959,4694444,2828512,1641120,933202,525975,294732,162986,162985,294724,525965,933177,1641085,2828461,4694292,2828426,2828394,2828393,2828761,2828762,4694908,7429817,11196081,7428893,7428894,4694423,4694422,7428900,7428899,7430184,7430188,7429273,4694560,4694559,2828914,2828913,4695148,4694334,4694336,2828543,2828542,2828559,4694539,7428888,7428887,7429882,4694967,2828800,2828801,2828828,1641363,933325,526027,294752,163000,89586,89585,162994,294744,526008,933269,1641263,2828812,4694237,2828400,2828401,4694242,4694895,4695107,4695108,7430079,4695203,4695202,7429091,7429090,11196384,11197588,7429992,4695055,2828858,2828857,4695050,4695157,4695156,7429139,4695226,4695225,7429216,4694530,4694529,2828920,2828902,2828901,4695135,4695000,2828831,1641277,933276,933274,1641270,1641335,933308,933306,1641323,2828786,1641250,933259,933260,1641253,2828794,4694954,7429864,7428846,4694446,4694448,4695113,4695114,7430083,255082968,7430114,7430115,11197723,16119887,22259244,22259210,22259211,29609509,25150571,18593664,18593662,22257694,22257693,22259043,22259042,29608723,29609355,29609354,38176074,32857383,25962993,22257602,22257603,22259142,16119640,16119639,21573113,21573112,25150461,18593602,18593603,18593680,25150597,29609326,22259016,22259015,18593578,18593580,25150423,29609511,38176221,48087310,48087309,39042719,39042720,41777941,32857351,25150428,25150429,32857353,38175128,29608179,22257720,22257721,29608182,38175130,32857524,32857523,29609385,29609386,38175089,29609346,29609347,38176066,256641342,52091427,52091428,59477067,49098088,48088502,48088503,50623699,41778029,41778028,41778031,41778077,35219253,35219254,44600036,48088415,44600019,35219233,35219234,35219222,27126031,20221418,14510482,14510483,20221423,22249978,22249977,29599410,38166203,38166210,38166211,48079153,44600063,35219274,27125965,27125966,27125996,27125997,35219316,44600091,48088564,41778069,41778068,48088397,48088396,55449397,44600130,44600131,48088515,38176635,29609849,22259520,22259521,29609853,38176641,38176651,38176654,48088540,48088310,48088312,48088334,48088330,38176550,38176551,35219250,27125951,20221377,20221376,27125944,27126015,20221410,20221411,27126018,35219344,35219355,44600139,48088532,38176644,38176643,31687899,31687900,29609782,22259491,16119956,16119954,22259483,29609768,38176511,48088385,38781463,30196964,30196963,38176539,48088404,48088589,48088345,38176479,38176478,29609835,22259516,22259515,29609832,38176614,48088487,48088535,48088317,38176458,38176459,38176470,29609743,22259468,22259472,29609751,38176484,44599995,44599993,51823235,51823236,44600116,42170995,33211385,33211386,42171001,50296434,40275766,40275765,50296433,61775978,61906775,59446723,48055138,38141488,38141489,48055141,59446713,48088353,48088352,58166758,58166757,48703882,48703881,59478209,58167623,58167624,58166618,58166615,52805021,42404895,42404899,52805030,59478049,59478047,59478082,50296453,40275780,31590830,31590831,40275786,50296461,58168328,46800864,36922657,28424135,28424137,36922661,46800874,58168347,50486155,40449813,40449814,50486159,58168355,46800881,46800882,58166631,58166633,58166628,58166626,57872076,57872074,59477992,48088247,38176397,38176398,48088251,46516150,36649052,36649053,38176577,38176576,41405930,32547896,32547897,41405933,44524594,55370853,67710729,59478053,48088286,38176427,29609716,29609718,38176432,48088291,59478065,60061902,48665047,48665049,60061906,58168315,58168316,70882492,62018289,62018291,72215444,85809374,86999109,85809321,72215388,72215389,70882522,70882520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14344991, s2 = 299875, dlinesl.size( ) = 2 s1 = 14344991, s2 = 299875, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14344991, Dl.E( ) = 82, 3e-05 seconds used appending s1 = 14291291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14291291, s2 = 10355497, int(edited[s2]) = 1 s1 = 14154639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11533126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533126, s2 = 7248431, int(edited[s2]) = 0 s1 = 11533126, s2 = 7248431, d1 = 11, d2 = 7 Dl.O(d1) = 274518518,228507479,274281944 Dl.O(d2) = 216147801,264528125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533126, s2 = 7248431, dlinesl.size( ) = 2 s1 = 11533126, s2 = 7248431, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11533126, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 5628240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5628240, s2 = 11660709, int(edited[s2]) = 0 s1 = 5628240, s2 = 11660709, d1 = 34, d2 = 65 Dl.O(d1) = 230103571 Dl.O(d2) = 227742034,225845469,223670864,221161230,218230496,214742496,210504618,205317826,263195846,183033677,261776412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5628240, s2 = 11660709, dlinesl.size( ) = 14 s1 = 10262583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5630037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7276526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5710111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13728561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8803058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13875687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13875687, s2 = 11396538, int(edited[s2]) = 0 s1 = 13875687, s2 = 11396538, d1 = 3, d2 = 0 Dl.O(d1) = 232463547,265839422,230270398,230270397,231663694,232916112,234050459,232916113,231663697,230270400,230270399,265534358,226921988,264953110 Dl.O(d2) = 222524710,219783929,264168478,273743777,187018143,177742047,167247198,155616089,143065515,129733923,115834542,101788217,87815558,269307322,61432513,268379034,39937201,49954470,61432514,60243738,48850208,268653073,22942785,16706925,11666510,7776869,4928614,2972851,2972853,4855297,4855298,7673236,7673502,7673501,8584079,8584078,12642494,10351262,10351263,12005222,8060637,5152948,5152946,8060635,12005219,17092311,20887942,14984855,10316658,6786741,4254591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13875687, s2 = 11396538, dlinesl.size( ) = 2 s1 = 13875687, s2 = 11396538, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13875687, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 7396339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7396339, s2 = 13889322, int(edited[s2]) = 0 s1 = 7396339, s2 = 13889322, d1 = 9, d2 = 10 Dl.O(d1) = 266222842,232916170,231663742,230270435,228702944,226922033,224878529,224878528,226922032 Dl.O(d2) = 230270434,231663740,232916168,232916167,232916168,231663744,231663743,232916171,234050501,235083768,234050505,232916174,265856206,228702946,226922034,224878529,222524807,264977396,216536799,212620732,207827761,202012899,195099045,187018494,177742421,167247607,155616456,261140298,129734292,115834918,101788617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7396339, s2 = 13889322, dlinesl.size( ) = 12 s1 = 15215793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8840205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8835554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7395290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5580569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5580569, s2 = 11345196, int(edited[s2]) = 0 s1 = 5580569, s2 = 11345196, d1 = 14, d2 = 15 Dl.O(d1) = 228767123 Dl.O(d2) = 272705044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5580569, s2 = 11345196, dlinesl.size( ) = 14 s1 = 7340257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5637428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5581316, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16209864, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5582415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15041047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9286399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7754407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7324784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7324784, s2 = 11589052, int(edited[s2]) = 0 s1 = 7324784, s2 = 11589052, d1 = 54, d2 = 91 Dl.O(d1) = 265431318 Dl.O(d2) = 242650656,242650657,242650660,242302849,241927369,241927368,242302848,242650659,242302850,241927369,267051576,266804158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7324784, s2 = 11589052, dlinesl.size( ) = 28 s1 = 8814623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7747842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7747842, s2 = 14121827, int(edited[s2]) = 0 s1 = 7747842, s2 = 14121827, d1 = 58, d2 = 54 Dl.O(d1) = 274310252,229145656 Dl.O(d2) = 177557619,272893796,262795730,201868351,207698392,208722077,208722080,210548622,273969039,192381743,183908053,174239744,163388830,151506698,138806623,125479048,111677826,97759314,258787984,46339060,46339061,256819454,36482980,268232412,255209513,254620859,3499385,267774793,1195647,254109811,212435,117498,64384,35500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7747842, s2 = 14121827, dlinesl.size( ) = 46 s1 = 5647667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7323024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5648538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5648538, s2 = 11434752, int(edited[s2]) = 0 s1 = 5648538, s2 = 11434752, d1 = 41, d2 = 51 Dl.O(d1) = 230686615 Dl.O(d2) = 204029962,263861628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5648538, s2 = 11434752, dlinesl.size( ) = 40 s1 = 7295702, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13842955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16315285, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5649948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7761986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7761986, s2 = 7306872, int(edited[s2]) = 0 s1 = 7761986, s2 = 7306872, d1 = 12, d2 = 10 Dl.O(d1) = 274562664 Dl.O(d2) = 265224882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7761986, s2 = 7306872, dlinesl.size( ) = 14 s1 = 13852243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15955431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5654574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7382580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5601601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8844263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8844263, s2 = 4707216, int(edited[s2]) = 0 s1 = 8844263, s2 = 4707216, d1 = 65, d2 = 3 Dl.O(d1) = 225599346,227544961,227781291,227781292,229442034,229442025,265549302,225888743,223718882,221214267,264972178,225888740,227781293,274462020,265852560 Dl.O(d2) = 191759254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8844263, s2 = 4707216, dlinesl.size( ) = 38 s1 = 7383277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14787725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7346428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7346428, s2 = 11395130, int(edited[s2]) = 0 s1 = 7346428, s2 = 11395130, d1 = 33, d2 = 41 Dl.O(d1) = 265677457 Dl.O(d2) = 223232704,220628908,217568291,213901272,209435369,263824210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7346428, s2 = 11395130, dlinesl.size( ) = 12 s1 = 8889684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11550544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550544, s2 = 15935766, int(edited[s2]) = 0 s1 = 11550544, s2 = 15935766, d1 = 7, d2 = 11 Dl.O(d1) = 226112340,223972919,221502612,221502613,223972921,226112343,227975790,227975789,227975797,229612610,231067319,229612608,265633782,226112341,227975796,229612607,229538523 Dl.O(d2) = 226007726,223853037,223853038,226007728,226007731,265341539,218465689,215011888,210813035,210813036,210813037,205672870,199459668,192118092,183590540,173846768,173846769,183590533,183590532,192118082,199459656,199459671,193143568,184789545,184773621,175221967,175221968,164440778,152584832,139875190,126509562,126509563,139875192,152584826,152584827,152584828,139875188,139846078,126474581,112605665,112605664,259302288,112644795,126509561,126509558,126509559,126474579,112605663,98610467,98610466,112605661,112644797,98648109,84717715,84717713,270290158,98648102,112644789,126509555,123728397,259374986,85808735,72214706,59477301,48087320,38175175,29608262,29608263,256936849,48087322,258126525,81224664,81224665,85808775,85808774,85360380,85360377,71770572,59027852,47625161,256358455,21833633,29141348,37702208,47625167,59027863,47625175,37702212,29141351,21833634,15764854,10918078,10918077,15764852,21361639,28593790,37101081,46985265,58354952,58354953,71071265,84634297,98557891,95569164,81538490,68051661,55654961,55654960,68051660,63856729,63856728,76968690,90847792,105027711,119220892,119220880,105027703,105027702,90847781,90847780,105027701,119220878,133051394,146279082,158647668,170006475,170006480,170006481,170532716,159191853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550544, s2 = 15935766, dlinesl.size( ) = 2 s1 = 11550544, s2 = 15935766, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11550544, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7204882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7347806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16005113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16005113, s2 = 4645263, int(edited[s2]) = 0 s1 = 16005113, s2 = 4645263, d1 = 52, d2 = 76 Dl.O(d1) = 254206714 Dl.O(d2) = 219694446,216433397,212501534,207692921,201862371,194934007,186839497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16005113, s2 = 4645263, dlinesl.size( ) = 10 s1 = 16109299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5614890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7395824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7395824, s2 = 11273982, int(edited[s2]) = 0 s1 = 7395824, s2 = 11273982, d1 = 12, d2 = 1 Dl.O(d1) = 266217064 Dl.O(d2) = 126704155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7395824, s2 = 11273982, dlinesl.size( ) = 14 s1 = 7349026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7335283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14788509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16128147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5881839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15783737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10253085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10253085, s2 = 13082457, int(edited[s2]) = 0 s1 = 10253085, s2 = 13082457, d1 = 36, d2 = 31 Dl.O(d1) = 269869397,87775983,101749044,115794966,129692865 Dl.O(d2) = 151572055,138869786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10253085, s2 = 13082457, dlinesl.size( ) = 12 s1 = 12065024, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5848260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5848260, s2 = 11467932, int(edited[s2]) = 0 s1 = 5848260, s2 = 11467932, d1 = 4, d2 = 11 Dl.O(d1) = 235832534,234877207,266287864,231400647,231400646,266118740 Dl.O(d2) = 176178620,263546701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5848260, s2 = 11467932, dlinesl.size( ) = 2 s1 = 5848260, s2 = 11467932, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5848260, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 5677462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5677462, s2 = 3180870, int(edited[s2]) = 0 s1 = 5677462, s2 = 3180870, d1 = 52, d2 = 19 Dl.O(d1) = 231453113 Dl.O(d2) = 100099872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5677462, s2 = 3180870, dlinesl.size( ) = 38 s1 = 7753773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7753773, s2 = 14018977, int(edited[s2]) = 0 s1 = 7753773, s2 = 14018977, d1 = 85, d2 = 146 Dl.O(d1) = 274421396,231459427 Dl.O(d2) = 1547674,254335331,7063488,10691768,15462788,21463405,268384945,15462791,21463406,15462792,10691772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7753773, s2 = 14018977, dlinesl.size( ) = 18 s1 = 13720337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13720337, s2 = 8882673, int(edited[s2]) = 0 s1 = 13720337, s2 = 8882673, d1 = 24, d2 = 23 Dl.O(d1) = 186065387,263119104,207221143,212100788,265574907,274517397,274635455,232746992,266108156,233732975,233892317,265853084 Dl.O(d2) = 232570014,232570013,233732972,266419450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13720337, s2 = 8882673, dlinesl.size( ) = 12 s1 = 16235616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16235616, s2 = 14059514, int(edited[s2]) = 0 s1 = 16235616, s2 = 14059514, d1 = 131, d2 = 170 Dl.O(d1) = 267413260 Dl.O(d2) = 261213802,176684999,259420538 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7753471, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15891973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14807668, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7352747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7352747, s2 = 11624778, int(edited[s2]) = 0 s1 = 7352747, s2 = 11624778, d1 = 36, d2 = 57 Dl.O(d1) = 265746195 Dl.O(d2) = 244074561,244074555,244074554,244301177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7352747, s2 = 11624778, dlinesl.size( ) = 52 s1 = 11561456, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15767987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7459281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11567386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556002, s2 = 8644946, int(edited[s2]) = 0 s1 = 11556002, s2 = 8644946, d1 = 81, d2 = 106 Dl.O(d1) = 266360272 Dl.O(d2) = 178113380,167652745,156045749 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15548063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5639089, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16072313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16072313, s2 = 12673025, int(edited[s2]) = 0 s1 = 16072313, s2 = 12673025, d1 = 21, d2 = 22 Dl.O(d1) = 12952652,255623081,32344404,257143993,51344011,63024706,76007765,89784984,103886376,118028952,131854675,145112747,157546354,169007609,263301423,196223601,202966926,208618815,213263638,217064070,220220901,222894103,225196259,227197110,228944453,230486350,266161617,234209791,235224532,236148188,236990292,237758909,238457492,239095682,239681849,240224403,240727165,241192954,241624376,242022829,242389701 Dl.O(d2) = 267695243,247797942,267696926,247797946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13853915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14805841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7330052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7308766, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5785934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5645997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5645997, s2 = 7782996, int(edited[s2]) = 0 s1 = 5645997, s2 = 7782996, d1 = 0, d2 = 44 Dl.O(d1) = 230621382 Dl.O(d2) = 274870071,267065645,242419291,242757591,267234303,243644983,274947908,267173826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5645997, s2 = 7782996, dlinesl.size( ) = 50 s1 = 15959951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15959951, s2 = 5646066, int(edited[s2]) = 0 s1 = 15959951, s2 = 5646066, d1 = 1, d2 = 1 Dl.O(d1) = 236091056,236938735,237710897,238412545,239052450,239640679,240185535,274894354,242357234,242701026,243021399,243321540,243602126,243862440,244104892,244330348,274978176,244104898,244104899,244330353,244539970,267372349,244572902,244366235,244142936,243902753,243645202,267234351,243072714,267140397,242054844,241658498,266979255,240266042,239726762,239143440,238508738,237815352,237052852,236217962,235302629,234298681,233195730,231976594,230623141 Dl.O(d2) = 236091056,236938735,237710897,238412545,239052450,239640679,240185535,274894354,242357234,242701026,243021399,243321540,243602126,243862440,244104892,244330348,274978176,244104898,244104899,244330353,244539970,267372349,244572902,244366235,244142936,243902753,243645202,267234351,243072714,267140397,242054844,241658498,266979255,240266042,239726762,239143440,238508738,237815352,237052852,236217962,235302629,234298681,233195730,231976594,230623141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15959951, s2 = 5646066, dlinesl.size( ) = 2 s1 = 15959951, s2 = 5646066, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15959951, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 5647131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5649335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15027651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15027651, s2 = 14090677, int(edited[s2]) = 0 s1 = 15027651, s2 = 14090677, d1 = 45, d2 = 37 Dl.O(d1) = 214024639,217678626,265798497,230730852,266632847,267027727,267107815,274910808,267033064,266890900,274637321,265739387,265670042 Dl.O(d2) = 86834440,73221912,258523190,3022896,1757418,1757417,3022894,5001963,7878013,11796653,16864935,23124870,26659471,22719383,22719382,30101358,31064143,31064142,31719501,31721647,30543420,23124855,16864928,11796648,11796649,16864930,23124858,28427368,21203720,21203721,22595243,254787476,43891736,38525200,29959846,22595247,22595246,29286714,37854780,38535978,31061217,31061216,23577685,17266042,12145704,8175538,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,6373455,5574734,267895458,12146761,12146759,16566057,15479437,10704285,7071897,4452427,4452426,7071893,9688964,6373174,6373175,9688967,14086200,19652220,26386679,19652210,14086194,9688960,6373171,3999148,3999142,6373154,6372963,3999062,2396717,2396716,3999057,6372954,9688558,14085472,19651259,19651037,19651034,16649213,11617217,7736562,7736561,11617213,11445849,7611860,4815733,4815731,7611850,11445827,16430690,12031508,12031506,12028531,8089200,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523803,9926296,14430479,19661210,14093089,11102318,11102317,15992975,254074804,7211840,7211839,7581427,7581426,11409322,16393056,22576082,254079140,21863836,254126608,28735586,22126074,16011554,11116457,11116459,16011559,18996765,18996764,25609507,31608632,31608824,24106535,17747776,12557745,12557744,254243808,4819493,4819496,7617270,11452189,8032565,8032562,11983461,14943582,14943581,255270122,20843423,28008135,30085094,257565200,15952787,11071082,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,2791953,1619605,1619604,2791951,2793491,2793492,4637704,7342477,7342489,4667852,2812077,2812078,4667859,7340278,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,7866012,11781272,11781271,16846622,16846623,23104001,29393187,29393186,37957816,47875817,38452784,29895563,29895564,38452785,37942024,29376321,29376320,37871272,29301694,29301693,29398067,29398066,37937039,35334182,35334181,37940123,37940122,47859364,39437801,39437802,38070986,38070987,37962325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15027651, s2 = 14090677, dlinesl.size( ) = 26 s1 = 5650471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5650471, s2 = 7357613, int(edited[s2]) = 0 s1 = 5650471, s2 = 7357613, d1 = 48, d2 = 35 Dl.O(d1) = 230740922,232083077,232105284 Dl.O(d2) = 265802280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5653262, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16226365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5703772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5703772, s2 = 11312534, int(edited[s2]) = 0 s1 = 5703772, s2 = 11312534, d1 = 19, d2 = 20 Dl.O(d1) = 232175731 Dl.O(d2) = 259733219,93274401,93274403,79155582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5703772, s2 = 11312534, dlinesl.size( ) = 2 s1 = 5703772, s2 = 11312534, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5703772, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 15032075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7358838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16279317, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7359681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7359681, s2 = 7489426, int(edited[s2]) = 0 s1 = 7359681, s2 = 7489426, d1 = 9, d2 = 23 Dl.O(d1) = 265825619 Dl.O(d2) = 243235368,242929653,267158430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7359681, s2 = 7489426, dlinesl.size( ) = 12 s1 = 9593444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13896425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10279549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11585764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5710643, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16173689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7300983, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9629308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9629308, s2 = 9550822, int(edited[s2]) = 0 s1 = 9629308, s2 = 9550822, d1 = 30, d2 = 33 Dl.O(d1) = 240492680,240976277,274812156,240941759,240455474,239931274 Dl.O(d2) = 126181004,112320569,98337729,84428137,70870824,58156806,58156807,70870826,73309681,84428136,98337727,112320568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9629308, s2 = 9550822, dlinesl.size( ) = 2 s1 = 9629308, s2 = 9550822, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9629308, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 5713991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5714185, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8824764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16230307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5668461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8849024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8849024, s2 = 5914103, int(edited[s2]) = 0 s1 = 8849024, s2 = 5914103, d1 = 24, d2 = 21 Dl.O(d1) = 232708151,265852216,232563955 Dl.O(d2) = 237428766,237428765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8849024, s2 = 5914103, dlinesl.size( ) = 2 s1 = 8849024, s2 = 5914103, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8849024, Dl.E( ) = 26, 2.81e-05 seconds used appending s1 = 14145980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147882, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5722928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5722928, s2 = 4616932, int(edited[s2]) = 0 s1 = 5722928, s2 = 4616932, d1 = 29, d2 = 10 Dl.O(d1) = 232668333 Dl.O(d2) = 185605063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5722928, s2 = 4616932, dlinesl.size( ) = 30 s1 = 5723156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5363115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5363115, s2 = 8863674, int(edited[s2]) = 0 s1 = 5363115, s2 = 8863674, d1 = 51, d2 = 33 Dl.O(d1) = 222063449,265867461 Dl.O(d2) = 265582340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5363115, s2 = 8863674, dlinesl.size( ) = 50 s1 = 11533908, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14148138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5677659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5677659, s2 = 15798586, int(edited[s2]) = 0 s1 = 5677659, s2 = 15798586, d1 = 6, d2 = 127 Dl.O(d1) = 231458079 Dl.O(d2) = 174288134,163440032,261490276,125521286,111713864,271751705,259714000,83931997,70405716,57711613,46362371,36504230,36504229,46362370,57711612,70405714,83931995,272414050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5677659, s2 = 15798586, dlinesl.size( ) = 34 s1 = 9719394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5680721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16126065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16126065, s2 = 7493453, int(edited[s2]) = 0 s1 = 16126065, s2 = 7493453, d1 = 36, d2 = 34 Dl.O(d1) = 224657909,224657910,226729391,274424272,265410557,266131673,274478354,265438402,265048558,207382953,264786661,219494801,265410543,265581953,265252438,264823036,207382986,201493698,201493697,207382984,212238892,216206404,219494849,222272822,224657903,226729386,224657922,222272847,219494867,216206423,216206426,265222107,216206450,212238923,264786671,219494879,222272838,265048560,265015001,265410561,222272765,219494796,265222101,219494863,265048562,265015003,219494886,216206461,216206459,265222121,224657947,265581957 Dl.O(d2) = 235927328,234980339,234980338,266524209,237576196,238289368,238938335,239534753,240085654,240596320,241070195,241510050,241917641,242294106,242642700,242967689,243271064,243554600,243817855,267303667,244501523,274984222,244464660,244251081,244251080,244464659,244501520,244290234,244290235,244501522,244464660,244251081,244021323,243774495,243774496,244021322,243774495,243774496,244021324,244251083,244464662,244664054,274984222,244464660,244251081,244021323,243774495,267197434,242914940,242585762,242232250,274880126,240990684,240508402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16126065, s2 = 7493453, dlinesl.size( ) = 24 s1 = 5728742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8910581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9601247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5684572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5684572, s2 = 8075448, int(edited[s2]) = 0 s1 = 5684572, s2 = 8075448, d1 = 39, d2 = 123 Dl.O(d1) = 231628528,232883266 Dl.O(d2) = 113728736,259988716,258745550,85760547,99714500,261165316,59427676,256390170,22211702,16080710,11167656,7408918,254351715,1636435,930535,524480,524481,930537,1636438,2820651,4681476,7408940,11167692,16080773,22211780,29556819,37095635,46978978,58348286,256932344,126415625,139789285,152507370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5684572, s2 = 8075448, dlinesl.size( ) = 2 s1 = 5684572, s2 = 8075448, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5684572, Dl.E( ) = 124, 2.88e-05 seconds used appending s1 = 5686844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5686844, s2 = 16379461, int(edited[s2]) = 0 s1 = 5686844, s2 = 16379461, d1 = 166, d2 = 162 Dl.O(d1) = 266612414,236043578,235106137,234074712,232941766,266026380,228731370,228731368,230297392,231690102,231690109 Dl.O(d2) = 236895840,236043583,266534797,236043570,235106147,266534799,236895862,236895851,266449410,234074715,232941768,232941769,234074717,235106134,234074719,234074718,266534799,236895862,236043595,235106158,234074723,232941775,232941777,234074727,235106165,236043601,236895863,237671234,236895852,266449410,235106141,266534797,236043570,235106147,266534799,236895862,236043595,235106158,234074723,232941775,232941777,234074727,235106165,236043601,236895863,237671234,236895852,266449410,235106142,236043585,236043575,266356356,234074710,266449405 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7408318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7408318, s2 = 10522477, int(edited[s2]) = 0 s1 = 7408318, s2 = 10522477, d1 = 81, d2 = 107 Dl.O(d1) = 266350312 Dl.O(d2) = 194171916,201213247,207141148,212029951,216024396,219333491,222129220,265570863,228432670,230030712,231448274,230030695,230030694,231448272,231448277,230030700,228432658,265570860,222129216,222129217,224529604,226615059,228432662,230030707,228432668,226615067,224529607,222129219,222129220,265570863,228432670,230030712,231448274,230030695,230030694,231448272,231448277,230030700,228432658,265570860,222129216,222129217,224529604,226615059,265727272,265570863,228432670,230030712,231448274,230030695,230030694,231448272,230030708,228432666,265871312,226615062,226615061,226615068,265871310,228432662,230030707,228432668,226615067,226615065,228432665,228432661,228432659,230030703,230030705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7408318, s2 = 10522477, dlinesl.size( ) = 24 s1 = 7399812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5689157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14842723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5691107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11581320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581320, s2 = 8931827, int(edited[s2]) = 0 s1 = 11581320, s2 = 8931827, d1 = 3, d2 = 1 Dl.O(d1) = 228878261,230430944,231810711,266265791,235192340,236120831,266619607 Dl.O(d2) = 236966458,236966460,274781219,238437645,238437646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581320, s2 = 8931827, dlinesl.size( ) = 2 s1 = 11581320, s2 = 8931827, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11581320, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 9573902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9573902, s2 = 8712197, int(edited[s2]) = 0 s1 = 9573902, s2 = 8712197, d1 = 23, d2 = 18 Dl.O(d1) = 234174889,265183054,231813755 Dl.O(d2) = 202581887,195775208,261678406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9573902, s2 = 8712197, dlinesl.size( ) = 2 s1 = 9573902, s2 = 8712197, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9573902, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 8841649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14914421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361162, s2 = 14136695, int(edited[s2]) = 0 s1 = 10361162, s2 = 14136695, d1 = 132, d2 = 62 Dl.O(d1) = 237045778,266550386,274648664,231965637 Dl.O(d2) = 255989277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361162, s2 = 14136695, dlinesl.size( ) = 16 s1 = 7767513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7767513, s2 = 7256337, int(edited[s2]) = 0 s1 = 7767513, s2 = 7256337, d1 = 10, d2 = 12 Dl.O(d1) = 274649832 Dl.O(d2) = 229145935,230660577,229145938,265640078,223218935,220614192,217552477,264629036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7767513, s2 = 7256337, dlinesl.size( ) = 2 s1 = 7767513, s2 = 7256337, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7767513, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 7387183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7387183, s2 = 8878783, int(edited[s2]) = 0 s1 = 7387183, s2 = 8878783, d1 = 40, d2 = 37 Dl.O(d1) = 266123323,232619315,231339444 Dl.O(d2) = 214013601,264883665,274407824,227512775,227512759,227512760,265556760,265648133,227512761,225561135,223317321,220721050,217669816,265103365,265382888,220721049,223317318,225561131,227512756,265714146,225561151,227512771,229219533,229219537,227512774,227512775,227512759,227512760,265556760,265192072,214013593,209559499,204130485,264370149,214013597,217669824,220721057,220721069,274273242,214013602,214013603,265648141,227512759,227512760,265556760,265192072,214013593,214013595,217669820,220721053,223317327,223317315,223317316,225561127,274439777,265935785,266383735,266327916,233282386,232071766,230727740,265858970,265798195,274407822,223317311,225561125,265556758,220721046,217669815,214013590,273987686,197623412,189981724,181119160,272852216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7387183, s2 = 8878783, dlinesl.size( ) = 16 s1 = 5701518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5701518, s2 = 11600844, int(edited[s2]) = 0 s1 = 5701518, s2 = 11600844, d1 = 0, d2 = 39 Dl.O(d1) = 232107472 Dl.O(d2) = 239787330,239210585,238583123,238583122,239210583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5701518, s2 = 11600844, dlinesl.size( ) = 24 s1 = 5702688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16000455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143552, s2 = 11233206, int(edited[s2]) = 0 s1 = 14143552, s2 = 11233206, d1 = 16, d2 = 12 Dl.O(d1) = 53512502,65536872,78872311,92984018,107394618,107394616,107394617,121779208,135719607,148958625,161263678,161263677,172462946,182414039,191116318,198605924,204951473,210210980,214511082,218046133,221010622,223545808,225743131,227658713,265548912 Dl.O(d2) = 139767881,139767880,126392468,112522067,98527373,270577548,71038537,58323004,46955863,37075715,28572584,28572585,28603561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143552, s2 = 11233206, dlinesl.size( ) = 2 s1 = 14143552, s2 = 11233206, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14143552, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 11572664, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14146060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146060, s2 = 12021394, int(edited[s2]) = 0 s1 = 14146060, s2 = 12021394, d1 = 25, d2 = 15 Dl.O(d1) = 26299297,34167267,43257549,53773421,65833495,259103557,260352587,261515883,161677521,172837207,182738339,265500123,227701650,265946437 Dl.O(d2) = 246514822,246434767,246349990,246349991,246434769,246434770,267555017,246514824,246590848,267555018,246349994,246349995,246434772,246434764,246349989,246349988,246349993,246259961,246163969,246163968,246259959,246259962,246163971,246063752,245957533,245957534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146060, s2 = 12021394, dlinesl.size( ) = 14 s1 = 7467714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7467714, s2 = 2311495, int(edited[s2]) = 0 s1 = 7467714, s2 = 2311495, d1 = 148, d2 = 9 Dl.O(d1) = 266944854,266839624 Dl.O(d2) = 40604517,50654577,62163492,74711549,61918233,50428228,40394752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7467714, s2 = 2311495, dlinesl.size( ) = 28 s1 = 8883716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15870781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15147025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5871021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146116, s2 = 5544779, int(edited[s2]) = 0 s1 = 14146116, s2 = 5544779, d1 = 16, d2 = 25 Dl.O(d1) = 32568163,24915435,18409143,18409145,24915442,32568170,39859070,39859069,41428340,41428338,33349288,25588972,25588973,33349291,33349339,25589003,25589002,33349333,36481504,36481503,39859047,32567948,27281733,20346264,14603503,14603502,10286733,10286734,14952775,20853562,28020143,35407425,44832850,49882243,46337418,36481441,36481442,46337425,36924849,36924847,39213880,39213882,49140731,47827959,41428039,41428040,48607608,38692175,30116100,22734990,16528815,16528816,20853590,20853591,28020187,36481469,28020152,28020151,25588997,18980056,13543672,9271819,9271820,13543674,18980060,25589010,33349352,42330781,46337413 Dl.O(d2) = 229464637,227807531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146116, s2 = 5544779, dlinesl.size( ) = 8 s1 = 5709744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5709744, s2 = 10282051, int(edited[s2]) = 0 s1 = 5709744, s2 = 10282051, d1 = 0, d2 = 11 Dl.O(d1) = 232326372 Dl.O(d2) = 235571339,236465309,237281341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5709744, s2 = 10282051, dlinesl.size( ) = 2 s1 = 5709744, s2 = 10282051, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5709744, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 5710083, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16354774, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11558706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8899532, s2 = 11207562, int(edited[s2]) = 0 s1 = 8899532, s2 = 11207562, d1 = 64, d2 = 1 Dl.O(d1) = 274810481,266408174,233588714,266093774,232415484,266207258,229670067,265836872 Dl.O(d2) = 139438150,126066655,112210415,269515766,10444605,6885346,4322213,2585503,1490290,843762,843763,1490292,2585506,4322220,6885365,255015717,254655061,6071035,9268687,10518348,6936618,4358871,2611663,2611664,4358873,255387863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8899532, s2 = 11207562, dlinesl.size( ) = 36 s1 = 8915189, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8881759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16400711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5762712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8899191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8899191, s2 = 7350276, int(edited[s2]) = 0 s1 = 8899191, s2 = 7350276, d1 = 89, d2 = 47 Dl.O(d1) = 234616457,234616456,274588280,266088166,235733181,266088164,233708780,232543855,231254180,231254181,232543858,232543852,232543853,232543844,231254175,229816494,229816495,231254177,232543847,233708799,233708775,232543811,265683988,229816480,265830624,233708777,233708782,233708781,234768006,233708795,233708787,233708788,234768009,235733182,234768013,234768012,233708816,233708791,232543824,232543825,233708792,233708776,232543818,231254158,229816484,229816483,231254156,266088168,235733183,235733182,234768013,234768012,233708816,233708791,232543824,232543825,233708792,233708776,232543818,231254158,229816484,229816483,265830632,233708784,266088180,232543855,231254180,231254181,232543858,232543852,232543853,233708808,274588278,265830626,265830624,233708777,233708782,233708781,234768005,233708785,232543817,266088168 Dl.O(d2) = 265718897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8899191, s2 = 7350276, dlinesl.size( ) = 28 s1 = 15007395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16069619, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7407740, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5764612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5764612, s2 = 10275271, int(edited[s2]) = 0 s1 = 5764612, s2 = 10275271, d1 = 22, d2 = 31 Dl.O(d1) = 234799520,233743001 Dl.O(d2) = 232582188,231296900,229862691,228247801,265551228,264742080,185178362,175643088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5764612, s2 = 10275271, dlinesl.size( ) = 28 s1 = 16251961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7762332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7169999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7169999, s2 = 11549558, int(edited[s2]) = 0 s1 = 7169999, s2 = 11549558, d1 = 77, d2 = 122 Dl.O(d1) = 263523418,222090136,224497715,226589706,228412421,230013182,231432809,232704274 Dl.O(d2) = 266687970,233005646,266033560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7169999, s2 = 11549558, dlinesl.size( ) = 116 s1 = 16125879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7664599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5726527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5771625, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11561138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7398183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15022657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7410076, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5731584, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5732336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5732984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5732984, s2 = 6596979, int(edited[s2]) = 0 s1 = 5732984, s2 = 6596979, d1 = 38, d2 = 49 Dl.O(d1) = 232907114 Dl.O(d2) = 256379396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5732984, s2 = 6596979, dlinesl.size( ) = 2 s1 = 5732984, s2 = 6596979, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5732984, Dl.E( ) = 76, 2.6e-05 seconds used appending s1 = 9680378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15789021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7409290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145848, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9576539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9576539, s2 = 5781661, int(edited[s2]) = 0 s1 = 9576539, s2 = 5781661, d1 = 1, d2 = 1 Dl.O(d1) = 62126610,74933738,88575487,102585453,116686970,261334021,156368701,143849308,143849309,156368704,167942853,178364130,187560517,263999265,264307391,212913196,216791910,220006666,265446065,225051884,227076608,228844005,230400782,231784123,233026768,234150261,235172388,236102763,236949580,236949579,237721199,238422169,239061564,239288632,238666173,237986839,237239633 Dl.O(d2) = 62126610,74933738,88575487,102585453,116686970,261334021,156368701,143849308,143849309,156368704,167942853,178364130,187560517,263999265,264307391,212913196,216791910,220006666,265446065,225051884,227076608,228844005,230400782,231784123,233026768,234150261,235172388,236102763,236949580,236949579,237721199,238422169,239061564,239288632,238666173,237986839,237239633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9576539, s2 = 5781661, dlinesl.size( ) = 2 s1 = 9576539, s2 = 5781661, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9576539, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 15795264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15795264, s2 = 11567691, int(edited[s2]) = 0 s1 = 15795264, s2 = 11567691, d1 = 49, d2 = 41 Dl.O(d1) = 264307427,212913684,265057787,222720744,265907265,266198396,266035949,274675755 Dl.O(d2) = 274705869,274732939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8925502, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7337879, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5782683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7314231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13896109, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5786682, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16255568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13890463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7760223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14781144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14781144, s2 = 5575512, int(edited[s2]) = 0 s1 = 14781144, s2 = 5575512, d1 = 20, d2 = 1 Dl.O(d1) = 235354820,266349472 Dl.O(d2) = 228631620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14781144, s2 = 5575512, dlinesl.size( ) = 28 s1 = 5965779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15785353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7411840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7757860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5792905, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7382296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15407974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5753046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5753046, s2 = 8883625, int(edited[s2]) = 0 s1 = 5753046, s2 = 8883625, d1 = 5, d2 = 15 Dl.O(d1) = 233442886 Dl.O(d2) = 233829171,232676946,231401692,229978535,228374461,226547587,226547588,228374462,265833966,232676944,266091184,232676951,231401695,229978537,229978536,265833966,232676944,231401691,265687552,226547587,265158474,219224324,215892493,264157898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5753046, s2 = 8883625, dlinesl.size( ) = 12 s1 = 13895421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11567692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15795303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10282050, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16270312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15033330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5843201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5843201, s2 = 5176452, int(edited[s2]) = 0 s1 = 5843201, s2 = 5176452, d1 = 19, d2 = 4 Dl.O(d1) = 235717227 Dl.O(d2) = 215363214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5843201, s2 = 5176452, dlinesl.size( ) = 26 s1 = 5760479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5760479, s2 = 13107963, int(edited[s2]) = 0 s1 = 5760479, s2 = 13107963, d1 = 1, d2 = 50 Dl.O(d1) = 233643938 Dl.O(d2) = 240164428,240669650,241137782,241571252,241571254,241972754,241972753,241571253,241137792,240669657,240669656,274867159,240669646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 5880524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8935497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5847339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5847339, s2 = 6526522, int(edited[s2]) = 0 s1 = 5847339, s2 = 6526522, d1 = 32, d2 = 26 Dl.O(d1) = 235812084,234855097 Dl.O(d2) = 255585460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5847339, s2 = 6526522, dlinesl.size( ) = 2 s1 = 5847339, s2 = 6526522, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5847339, Dl.E( ) = 40, 2.91e-05 seconds used appending s1 = 8884043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8884043, s2 = 5949570, int(edited[s2]) = 0 s1 = 8884043, s2 = 5949570, d1 = 165, d2 = 161 Dl.O(d1) = 235865904,234913953,233868515,232720802,232720803,266336711 Dl.O(d2) = 266518157,237523853,238241924,238895915,266857695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8884043, s2 = 5949570, dlinesl.size( ) = 30 s1 = 7399142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7399142, s2 = 14335147, int(edited[s2]) = 0 s1 = 7399142, s2 = 14335147, d1 = 36, d2 = 22 Dl.O(d1) = 266251911,233885196,232738891,265941322,231470752,232738901,232738889,265804584,228459296,228459297,230055062,230055064,228459298,265655100,231470743,232738895,231470750,230055076,230055077,231470752,232738901,232738889,265804584,228459296,226643762,224561153,224561154,226643765,228459300,230055069,231470747,231470746,230055067,228459299,228459300,230055068,231470747,230055071,230055070,230055067,230055066,231470745,231470750,230055076,230055077,231470752,232738901,232738889,265804584,228459296,228459297,230055062,231470739,232738890,266182700,234929675,233885190,232738885,232738884,233885188,234929674,233885200,232738897,231470748,230055075,230055077,231470752,232738901,232738889,265804584,228459296,228459297,230055062,231470739,266066852,234929678,234929683,233885203,233885202,233885200,232738897,232738876,231470732,231470731,232738873,232738878,232738881,233885183,234929668,266289218,234929670,266289224,233885194,266182702,235880857,236747726,266477844,235880845,234929664,233885178,232738871,232738869,233885176,265941316,265655098,226643760,224561152,264894120,216066409,264085366,201274064,194240276,186028539,176608898,165963856,154205672 Dl.O(d2) = 116715672,102619528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7399142, s2 = 14335147, dlinesl.size( ) = 2 s1 = 7399142, s2 = 14335147, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7399142, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 15798431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5775417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4527982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4527982, s2 = 5375301, int(edited[s2]) = 0 s1 = 4527982, s2 = 5375301, d1 = 2, d2 = 1 Dl.O(d1) = 179795657,188775309,264608847,265278149,225271551,227261195,228999389,230533380,231898957,233128492,234240392,235039949,234003558,266443293,235982983,266349825,234003579,234003562,232866017,231610090,230210583,266018285,274639013,235039955,234240383,234240382,266349818,234003556,234003555,266138452,231747679,230360819,230210606,228634797,226842716,226842710,265746441,266018289,230210597,266138461 Dl.O(d2) = 228634782,226842707,265420965,265591519,265856912,227261197,225271552,225271551,227261195,228999389,230533380,231898957,233128492,234240392,235039949,234003558,266138455,231610084,266248413,230210579,228634765,226842693,224787319,222419477,219660762,216394335,212455400,207638252,264548885,216394337,219660764,222419483,224787328,226842706,228634781,230210590,230533378,228999387,228999385,230533374,231898953,233128488,234240387,235039962,234003572,234003570,235039945,234003552,234003553,234003575,234003577,232866039,232866038,232993485,231747676,265746436,228800193,230210606,228634797,226842716,224787331,222419485,219660769,216394339,212455403,264268623,263989368,166888922,155197752,261858516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4527982, s2 = 5375301, dlinesl.size( ) = 2 s1 = 4527982, s2 = 5375301, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 4527982, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 13917261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13917261, s2 = 15989134, int(edited[s2]) = 0 s1 = 13917261, s2 = 15989134, d1 = 86, d2 = 4 Dl.O(d1) = 266680877,236854640,235997250,235054849,234019481,266351547 Dl.O(d2) = 19881770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13917261, s2 = 15989134, dlinesl.size( ) = 30 s1 = 7350510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7350510, s2 = 7407546, int(edited[s2]) = 0 s1 = 7350510, s2 = 7407546, d1 = 11, d2 = 22 Dl.O(d1) = 265721706 Dl.O(d2) = 266341424,233390833,232193476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7350510, s2 = 7407546, dlinesl.size( ) = 24 s1 = 7389858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7389872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7389872, s2 = 4660183, int(edited[s2]) = 0 s1 = 7389872, s2 = 4660183, d1 = 56, d2 = 51 Dl.O(d1) = 266152775 Dl.O(d2) = 24248706,256552287,50490684,61982648,74778865,88410348,102410388,116505524,130342009,143667110,143667109,156197442,167793223,167793224,273173407,156197445,156197443,156197444,167793227,178238282,187455423,264302169,202336261,208103252,212858027,216745837,265257441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7389872, s2 = 4660183, dlinesl.size( ) = 2 s1 = 7389872, s2 = 4660183, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7389872, Dl.E( ) = 86, 3e-05 seconds used appending s1 = 8895531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7406083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5691975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5823345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10361152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10361152, s2 = 16250384, int(edited[s2]) = 0 s1 = 10361152, s2 = 16250384, d1 = 46, d2 = 45 Dl.O(d1) = 266693669,236149243,235225631 Dl.O(d2) = 79190598,78430737,77116921,63992293,63992294,53373650,257233351,42714661,33684570,25878071,19218706,19218707,25878073,33684574,42714663,42714662,53164428,42714668,42714669,50569602,40533005,256558855,31835164,31835161,31835160,33861694,33861693,33684346,33684347,25878118,24316389,19218719,13727951,9403917,9403918,13727953,19218723,25878100,24316387,17930230,13727956,267935751,3855008,3855009,6161042,254940605,19218726,25878108,26039981,19361602,19361601,26039977,25878090,25878089,31835228,31835227,40533010,39762982,39762981,49184719,53164261,42714509,42714508,53164259,259699527,121026360,261474503,160192599,171410463,181429383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10361152, s2 = 16250384, dlinesl.size( ) = 2 s1 = 10361152, s2 = 16250384, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10361152, Dl.E( ) = 48, 1.81e-05 seconds used appending s1 = 14154513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14154513, s2 = 15031697, int(edited[s2]) = 0 s1 = 14154513, s2 = 15031697, d1 = 27, d2 = 0 Dl.O(d1) = 274925922 Dl.O(d2) = 203512135,263587122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14154513, s2 = 15031697, dlinesl.size( ) = 28 s1 = 5826386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5826386, s2 = 9741293, int(edited[s2]) = 0 s1 = 5826386, s2 = 9741293, d1 = 38, d2 = 105 Dl.O(d1) = 235293766 Dl.O(d2) = 246693773,246693766,246624089,246624088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5826386, s2 = 9741293, dlinesl.size( ) = 28 s1 = 15150901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15150901, s2 = 13123835, int(edited[s2]) = 0 s1 = 15150901, s2 = 13123835, d1 = 120, d2 = 92 Dl.O(d1) = 237813612,238506946,266775210,236216181,235300889 Dl.O(d2) = 271527443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15150901, s2 = 13123835, dlinesl.size( ) = 34 s1 = 5864635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8786276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14790278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5831395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5831395, s2 = 16029972, int(edited[s2]) = 0 s1 = 5831395, s2 = 16029972, d1 = 21, d2 = 35 Dl.O(d1) = 235415030 Dl.O(d2) = 9466716,254666897,3885217,254306685,1348537,769469,437357,437356,437358,769470,1348539,2326441,3885228,6207314,9466778,13632950,12500849,8467984,6011557,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011555,8777840,8917529,8935428,8935427,13110763,14039481,13109354,9390736,6152167,6152166,9390729,13710564,13801475,19302720,19543349,26263136,267749440,16564107,22779438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5831395, s2 = 16029972, dlinesl.size( ) = 2 s1 = 5831395, s2 = 16029972, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5831395, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 8842852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569680, s2 = 7736534, int(edited[s2]) = 0 s1 = 11569680, s2 = 7736534, d1 = 28, d2 = 35 Dl.O(d1) = 266400330 Dl.O(d2) = 274075205,162711351,162711350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569680, s2 = 7736534, dlinesl.size( ) = 18 s1 = 7421924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7394194, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16326128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5800294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5800294, s2 = 5808128, int(edited[s2]) = 0 s1 = 5800294, s2 = 5808128, d1 = 0, d2 = 1 Dl.O(d1) = 234637657 Dl.O(d2) = 234839830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5800294, s2 = 5808128, dlinesl.size( ) = 38 s1 = 8894496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8894496, s2 = 7725834, int(edited[s2]) = 0 s1 = 8894496, s2 = 7725834, d1 = 34, d2 = 27 Dl.O(d1) = 274263953,228038537,265970455,266207247 Dl.O(d2) = 273816656,184052755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8894496, s2 = 7725834, dlinesl.size( ) = 18 s1 = 16249235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7382919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16250383, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11575816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15040849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15040849, s2 = 5277544, int(edited[s2]) = 0 s1 = 15040849, s2 = 5277544, d1 = 98, d2 = 90 Dl.O(d1) = 200861868,200861867,206842784,211784292,215821259,219160563,221979789,224400999,226503698,228335415,265993741,265980008,224187741,221738799,221738798,218884822,215504247,215504246,215505451,211414294,264471442,200358246,193195032,184849140,175290981,164520378,152675994,261110322,126623378,112768040,258685130,71277533,58545962,47157643,37252812,28721915,21465746,15464824,10693330,7064562,4447993,2672291,2672293,4447999,4342908,4342907,6914536,10487034,10487033,268067360,255109238,16512052,11507002,7654784,4843496,4843495,7654782,255490277 Dl.O(d2) = 99469077,99469078,113479785,127349452,140705367,153387235,140706317,127350428,127350426,140706315,140705374,127349458,113479793,99469087,85522585,71934580,59194831,59194830,71934578,85522581,99469082,113479788,99470204,99470203,113479782,99469077,99469078,113479785,127349452,140705367,153387235,140706317,127350428,113480833,99470212,99470211,113480832,99470216,85523644,85523645,99470218,113480836,261699095,261159780,127349453,127349454,140705369,153387236,153387238,140705372,127349455,113479787,113479788,99470204,99470203,113479782,99469077,85522575,71934575,71934576,85522577,99469080,260572521,140705368,140705369,153387236,153387238,140705372,127349455,113479787,113479788,99470204,99470203,113479782,99469077,99469078,113479785,127349452,140705367,153387235,140706317,127350428,113480833,99470212,99470211,113480832,99470216,85523644,85523645,99470218,113480836,261699095,261159780,127349453,127349454,140705369,153387236,153387238,140705372,127349455,113479787,113479788,99470204,99470203,113479782,99469077,99469078,113479785,127349452,140705367,153387235,140706317,127350428,127350426,140706315,140705374,127349458,113479793,99469087,85522585,71934580,59194831,59194830,71934578,85522581,99469082,113479788,99470204,85523635,85523636,99470205,113480824,113479777,113479776,127349450,261699007,165190825,263134011,193672306,200773338,200773339,206765425,206765426,211715749,215761546,215761545,219107563,219107564,221932495,222845090,220160320,216985965,213159691,264322881,196042364,188142976,179078464,168799551,157361079,144947876,131699840,117872892,103719456,89604715,75822656,62858834,257137327,41051791,51208823,62858828,51208817,51208818,62858829,75822648,259588073,117872887,131699835,144947873,157361074,162554174,150425187,137385041,123653508,109460738,95205871,81148478,67682343,55342563,44496295,35119051,27032250,20139508,20139509,25151109,254947258,25960289,19295275,16451184,16449918,16449920,16451172,22640517,25960033,21900022,21900021,29214223,22639013,16450113,11461613,7623685,4823460,4823458,7623680,11461603,16450094,11469674,11469671,16461369,22653508,25164621,32872255,41793452,52107592,59886082,72625706,256448234,258181796,154145238,165907560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15040849, s2 = 5277544, dlinesl.size( ) = 2 s1 = 15040849, s2 = 5277544, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15040849, Dl.E( ) = 100, 2.72e-05 seconds used appending s1 = 14809423, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5848813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5848813, s2 = 6505449, int(edited[s2]) = 0 s1 = 5848813, s2 = 6505449, d1 = 23, d2 = 30 Dl.O(d1) = 235843860 Dl.O(d2) = 255331604,29784327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5848813, s2 = 6505449, dlinesl.size( ) = 2 s1 = 5848813, s2 = 6505449, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5848813, Dl.E( ) = 50, 3.1e-05 seconds used appending s1 = 5810553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5811016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7764189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5850107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5771349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5771349, s2 = 7486242, int(edited[s2]) = 0 s1 = 5771349, s2 = 7486242, d1 = 16, d2 = 33 Dl.O(d1) = 233893039,234936608 Dl.O(d2) = 267007553,241902848,267127119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5771349, s2 = 7486242, dlinesl.size( ) = 18 s1 = 7081486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7081486, s2 = 8760006, int(edited[s2]) = 0 s1 = 7081486, s2 = 8760006, d1 = 40, d2 = 77 Dl.O(d1) = 262293290,263589716,264254400,274416321,265739306,234990381 Dl.O(d2) = 197145978,197145977,265084887,213717814,213717813,209210722,264044194,262915474,52244058,268737815,18675059,18675058,24554859,18117954,18117953,24555355,32136825,40914593,38013627,30609196,23189800,23189799,26422590,34299401,32141127,24559140,24559141,32141129,37045242,37045243,40918305,38108571,38108572,32139368,32139369,39992291,31315473,31315472,38598306,30025670,30025671,33077239,33077238,30025621,22652583,16460833,16460832,268231211,23337605,17071458,17071459,21695582,15655228,10836144,10836147,14469812,20168238,27062172,35147945,37300689,40261995,31574932,31574934,31778930,32968815,32968814,32968295,25246196,18675735,18675734,25246188,32968278,41907650,51067356,40926725,40926724,40078576,40078577,50099363,50518711,40483044,38354138,38354137,30760332,255926920,17071457,23337603,30760338,29436729,29436730,37999504,256925974,46802214,36924342,28425744,21202270,21202272,24735614,22416035,16250908,11298115,11298112,16250902,21202118,15236703,15236704,18674429,22282657,29635042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7081486, s2 = 8760006, dlinesl.size( ) = 70 s1 = 5816752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5816752, s2 = 8027599, int(edited[s2]) = 0 s1 = 5816752, s2 = 8027599, d1 = 36, d2 = 61 Dl.O(d1) = 235041867 Dl.O(d2) = 7679506,4859259,2928355,2928356,4859263,4859242,4859241,7679472,11542978,16560216,15799165,15799164,21873865,15799174,15799173,21873877,28402221,28402219,22764239,16550996,16550998,22764230,19502039,19189683,19189685,13704932,13704931,255451863,29491082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5816752, s2 = 8027599, dlinesl.size( ) = 14 s1 = 7424160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10360992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154495, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5821897, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5823609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13899345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5861583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11587494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5589736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8887734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8887734, s2 = 8907374, int(edited[s2]) = 0 s1 = 8887734, s2 = 8907374, d1 = 17, d2 = 12 Dl.O(d1) = 274534837,231978852,266277139 Dl.O(d2) = 236219344,274760943,266576008,237291514,236476774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8887734, s2 = 8907374, dlinesl.size( ) = 22 s1 = 9051177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9051177, s2 = 10269944, int(edited[s2]) = 0 s1 = 9051177, s2 = 10269944, d1 = 94, d2 = 111 Dl.O(d1) = 263736792,218043811,221008600,223544016 Dl.O(d2) = 265164683,264167477,200156764,206230799,274471750,265357877,264952279,206230788,200156750,274354128,200156758,192963488,273698203,206230785,263843727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7461752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16029971, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8887342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5832433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5833549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15786727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7403299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7460222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7460222, s2 = 5064998, int(edited[s2]) = 0 s1 = 7460222, s2 = 5064998, d1 = 16, d2 = 0 Dl.O(d1) = 266872344,266617640 Dl.O(d2) = 210646738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7460222, s2 = 5064998, dlinesl.size( ) = 20 s1 = 5837151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7763556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7763556, s2 = 3617317, int(edited[s2]) = 0 s1 = 7763556, s2 = 3617317, d1 = 31, d2 = 6 Dl.O(d1) = 274588958 Dl.O(d2) = 123996379,256821276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7763556, s2 = 3617317, dlinesl.size( ) = 2 s1 = 7763556, s2 = 3617317, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7763556, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 7768040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7768040, s2 = 10544745, int(edited[s2]) = 0 s1 = 7768040, s2 = 10544745, d1 = 22, d2 = 18 Dl.O(d1) = 274658083,235585006 Dl.O(d2) = 243731021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7768040, s2 = 10544745, dlinesl.size( ) = 2 s1 = 7768040, s2 = 10544745, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7768040, Dl.E( ) = 36, 1.19e-05 seconds used appending s1 = 15778055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15753496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8903424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14810007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7405302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14250365, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7407547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16128455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15149671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15149671, s2 = 11453718, int(edited[s2]) = 0 s1 = 15149671, s2 = 11453718, d1 = 49, d2 = 84 Dl.O(d1) = 262752570,215948680 Dl.O(d2) = 209417376,213884750,216698610,212804188,208040462,202262802,273583901,178122443,167663320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15149671, s2 = 11453718, dlinesl.size( ) = 32 s1 = 5951393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9601010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8910157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8910157, s2 = 5921113, int(edited[s2]) = 0 s1 = 8910157, s2 = 5921113, d1 = 6, d2 = 17 Dl.O(d1) = 231538130,232801039 Dl.O(d2) = 236793782,237579583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8910157, s2 = 5921113, dlinesl.size( ) = 2 s1 = 8910157, s2 = 5921113, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8910157, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 16248457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5890683, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5890740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5687424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7408992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8947580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15881153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8918736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7759765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7434437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7434437, s2 = 1731909, int(edited[s2]) = 0 s1 = 7434437, s2 = 1731909, d1 = 37, d2 = 38 Dl.O(d1) = 266617667 Dl.O(d2) = 44561389,55409049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7434437, s2 = 1731909, dlinesl.size( ) = 2 s1 = 7434437, s2 = 1731909, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7434437, Dl.E( ) = 50, 1.88e-05 seconds used appending s1 = 7409653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7409653, s2 = 4758590, int(edited[s2]) = 0 s1 = 7409653, s2 = 4758590, d1 = 51, d2 = 81 Dl.O(d1) = 266364453 Dl.O(d2) = 227375233,229096655,230617019,231971695,232701115,231429337,230009209,228408012,226584915,265395123,219280867,215961399,215961400,211953037,207046513,201100246,194044010,185810068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7409653, s2 = 4758590, dlinesl.size( ) = 2 s1 = 7409653, s2 = 4758590, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7409653, Dl.E( ) = 82, 2.1e-05 seconds used appending s1 = 5861692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5898148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7410797, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7380710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10284011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10284011, s2 = 8275697, int(edited[s2]) = 0 s1 = 10284011, s2 = 8275697, d1 = 114, d2 = 72 Dl.O(d1) = 197786816,273933447,214101823,274314917,227547988,265938277,232094030,233301752,234394922,235389336,236295472,237123269,237878673,237878665,237123262,236295463,235389330,234394919,233301751,266385187 Dl.O(d2) = 254947555,9507271,13859025,256169827,42924404,53390368,65393632,259084191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10284011, s2 = 8275697, dlinesl.size( ) = 38 s1 = 5963979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5903132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5903132, s2 = 16125880, int(edited[s2]) = 0 s1 = 5903132, s2 = 16125880, d1 = 12, d2 = 17 Dl.O(d1) = 237156987 Dl.O(d2) = 48636215,60029107,72765960,86362804,100322479,259009232,87986280,74383451,61606866,50126881,40106799,31427072,23936110,255792399,19419630,13893624,13892067,9532757,6253575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5903132, s2 = 16125880, dlinesl.size( ) = 2 s1 = 5903132, s2 = 16125880, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5903132, Dl.E( ) = 26, 1.12e-05 seconds used appending s1 = 13878469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5871008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5871008, s2 = 8653764, int(edited[s2]) = 0 s1 = 5871008, s2 = 8653764, d1 = 95, d2 = 90 Dl.O(d1) = 229425857,230901569,232223734,233417057,234500894,235488097,236388739,236388742,236388733,235488092,234500885,233417062 Dl.O(d2) = 215132800,210964082,205862905,199695280,192403705,183934257,174269643,163419930,151536523,138833774,125501826,111696115,97774736,83916529,70390435,57696558,46347389,36489633,28027097,20859792 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8957684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7412761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15764354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8953924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15957765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11587874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13983993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7773595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7773595, s2 = 14109214, int(edited[s2]) = 0 s1 = 7773595, s2 = 14109214, d1 = 84, d2 = 126 Dl.O(d1) = 274742018 Dl.O(d2) = 224645455,222257955,264356184,212209472,263343710,194435201,186254469,176871651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7773595, s2 = 14109214, dlinesl.size( ) = 78 s1 = 7388976, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5911388, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14548584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14548584, s2 = 14244560, int(edited[s2]) = 0 s1 = 14548584, s2 = 14244560, d1 = 74, d2 = 67 Dl.O(d1) = 33747530,42778633,53230079,49984707,49984708,46319516,46319515,256768866,36466708,28007881 Dl.O(d2) = 8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,11963728,17054220,16603256,11579660,7707595,4877962,2939201,1704382,968797,545635,305629,169139,169138,305627,545634,968791,1704368,2939175,254546427,11579470,16602960,22823336,30215457,22848932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14548584, s2 = 14244560, dlinesl.size( ) = 2 s1 = 14548584, s2 = 14244560, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14548584, Dl.E( ) = 76, 4.01e-05 seconds used appending s1 = 15801467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5913134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5913134, s2 = 10984566, int(edited[s2]) = 0 s1 = 5913134, s2 = 10984566, d1 = 39, d2 = 48 Dl.O(d1) = 237401190 Dl.O(d2) = 15492825,10713851,7078044,4456131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5913134, s2 = 10984566, dlinesl.size( ) = 12 s1 = 7414732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7414732, s2 = 13945019, int(edited[s2]) = 0 s1 = 7414732, s2 = 13945019, d1 = 29, d2 = 18 Dl.O(d1) = 266416729 Dl.O(d2) = 244013216,243765014,243765015,244013218,244244387,244013220,243765017,243765016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7414732, s2 = 13945019, dlinesl.size( ) = 2 s1 = 7414732, s2 = 13945019, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7414732, Dl.E( ) = 48, 1.41e-05 seconds used appending s1 = 11580658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5913936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7356475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7356475, s2 = 7016016, int(edited[s2]) = 0 s1 = 7356475, s2 = 7016016, d1 = 14, d2 = 8 Dl.O(d1) = 265788792 Dl.O(d2) = 261390208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7356475, s2 = 7016016, dlinesl.size( ) = 2 s1 = 7356475, s2 = 7016016, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7356475, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 5881077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7431840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7418420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5918692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7376123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8937996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5888667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5888667, s2 = 6006403, int(edited[s2]) = 0 s1 = 5888667, s2 = 6006403, d1 = 0, d2 = 25 Dl.O(d1) = 236808006 Dl.O(d2) = 239548343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5888667, s2 = 6006403, dlinesl.size( ) = 20 s1 = 7417400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7417400, s2 = 11567632, int(edited[s2]) = 0 s1 = 7417400, s2 = 11567632, d1 = 15, d2 = 23 Dl.O(d1) = 266444953 Dl.O(d2) = 242319297,242665670,242869704,242537450,242180400,241794778,241376754,240925685,240438325,239913202,239913201,240438324,239913202,239913201,240438324,239913202,239345091,238727800,238055579,266539934,234635197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7417400, s2 = 11567632, dlinesl.size( ) = 2 s1 = 7417400, s2 = 11567632, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7417400, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 5891038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5891583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5891583, s2 = 10561004, int(edited[s2]) = 0 s1 = 5891583, s2 = 10561004, d1 = 0, d2 = 8 Dl.O(d1) = 236881930 Dl.O(d2) = 244084550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5891583, s2 = 10561004, dlinesl.size( ) = 2 s1 = 5891583, s2 = 10561004, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5891583, Dl.E( ) = 44, 3.22e-05 seconds used appending s1 = 16281295, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8924956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579918, s2 = 14136634, int(edited[s2]) = 0 s1 = 11579918, s2 = 14136634, d1 = 1, d2 = 1 Dl.O(d1) = 182910200,191553941,198982916,205264158,210462532,214709647,264725260,221138304,223650231,265811991,230869335,232194643,233391790,234478159,235466638,266413044,266501578,238628149,266724760,239670072,239083119,239083118,238444215,237744462,236974010,236129353,235201985,234183651,233063535,233063536,265843774,228895662,227136262,225826803,225120217,222800156,220102986,218203787,218203788,264959266,225120213,222800152,222800151,223650228,221681969,221681968,224137178,274459081,227136258,225120214,222800153,220102985,220102984,216910943,216910942,213060966,208352479,208352478,213060964,216910941,213060962,208352477 Dl.O(d2) = 182910200,191553941,198982916,205264158,210462532,214709647,264725260,221138304,223650231,265811991,230869335,232194643,233391790,234478159,235466638,266413044,266501578,238628149,266724760,239670072,239083119,239083118,238444215,237744462,236974010,236129353,235201985,234183651,233063535,233063536,265843774,228895662,227136262,225826803,225120217,222800156,220102986,218203787,218203788,264959266,225120213,222800152,222800151,223650228,221681969,221681968,224137178,274459081,227136258,225120214,222800153,220102985,220102984,216910943,216910942,213060966,208352479,208352478,213060964,216910941,213060962,208352477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579918, s2 = 14136634, dlinesl.size( ) = 2 s1 = 11579918, s2 = 14136634, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11579918, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13911073, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7436986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7436986, s2 = 14113214, int(edited[s2]) = 0 s1 = 7436986, s2 = 14113214, d1 = 26, d2 = 53 Dl.O(d1) = 266643144 Dl.O(d2) = 262430723,158035253,145632211,132383867,118541340,104354698,104354699,118541343,272347321,272962189,169448999,262575070,158035249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7436986, s2 = 14113214, dlinesl.size( ) = 38 s1 = 7442219, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10289570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10289570, s2 = 1717269, int(edited[s2]) = 0 s1 = 10289570, s2 = 1717269, d1 = 122, d2 = 4 Dl.O(d1) = 240267445,266879847,266763691,237817565 Dl.O(d2) = 43963464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10289570, s2 = 1717269, dlinesl.size( ) = 52 s1 = 16027245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16027245, s2 = 14145979, int(edited[s2]) = 0 s1 = 16027245, s2 = 14145979, d1 = 17, d2 = 64 Dl.O(d1) = 140957372 Dl.O(d2) = 197480189,189819230,180934178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16027245, s2 = 14145979, dlinesl.size( ) = 38 s1 = 7343166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5900762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5900762, s2 = 15764353, int(edited[s2]) = 0 s1 = 5900762, s2 = 15764353, d1 = 26, d2 = 60 Dl.O(d1) = 237098028 Dl.O(d2) = 170091128,158730437,146360014,133131458,133131459,146360015,133131463,119300720,105106866,90925855,90925854,105106865,119300712,119300711,133131454,146360011,146360009,133131453,133131454,146360011,146360009,146360008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5900762, s2 = 15764353, dlinesl.size( ) = 24 s1 = 14149988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7769729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7769729, s2 = 15315692, int(edited[s2]) = 0 s1 = 7769729, s2 = 15315692, d1 = 112, d2 = 116 Dl.O(d1) = 274683595,236314452,237143882 Dl.O(d2) = 1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725383,7476890,11262794,9779857,9779858,14226231,16826936,16826935,23079068,23786957,31272573,24592980,24592981,27250382,20317743,20317744,255166136,38274922,46817937,43406322,34305001,254968618,14117426,14117425,14226287,14226285,19857082,26674206,26255079,19536896,13989012,13989011,19536893,26255075,29289382,21962835,15869242,15869243,21962837,29289385,37858213,31550751,255318930,23113888,23004781,23004782,29708413,26255110,19536937,13989041,13989043,16826996,15869770,15626615,15626614,15866145,10996849,7279742,4591123,2762239,1601326,910622,513728,513730,910628,1601469,2762574,4591746,267970831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7769729, s2 = 15315692, dlinesl.size( ) = 36 s1 = 5903860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7443647, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7421148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13916211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13916211, s2 = 7891259, int(edited[s2]) = 0 s1 = 13916211, s2 = 7891259, d1 = 142, d2 = 141 Dl.O(d1) = 266775183,237959936,237209939,266565679,266710843,239267559,239267564,266889955,239842222,239267542,266834855,239267554,239267555,239842225,239267548,238642431,238642430,266834857,240372685,240372692,239842234,239842233,240372690,266940601,239842223,266889951,240372685,240372692,239842234,266775183,238642422,274807557,266940599 Dl.O(d2) = 254643148,55744269,65220391,65220390,78509351,92555454,81632499,68142329,68142330,78509351,268486606,55744269,65220391,53231777,42780498,33749647,268762805,16279547,11320491,11042479,7317037,4619113,2781358,2781359,4619119,7317052,11042507,15920156,16360080,16360078,14490036,9969844,9969843,14187033,14187035,16282858,11324147,7520330,4754513,2865507,1663136,946256,533611,299270,299269,533607,946248,1663123,2865482,4751804,7516726,11320284,11319386,11319385,9969957,6552409,6552408,9969954,14490192,10849118,7172375,7172371,10849111,15671456,254619860,29817542,22449895,21977599,15882694,15882693,11009877,7288363,7288365,11009883,11009954,7288417,7288416,7516412,4752716,2864350,1662482,1662483,2864351,254534247,11321763,11324316,7520487,254780381,16283086,255914527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13916211, s2 = 7891259, dlinesl.size( ) = 22 s1 = 5906015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8921303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15825747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7421970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7421970, s2 = 3488831, int(edited[s2]) = 0 s1 = 7421970, s2 = 3488831, d1 = 42, d2 = 49 Dl.O(d1) = 266490627 Dl.O(d2) = 115291001,101212600,87211618,73589361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7421970, s2 = 3488831, dlinesl.size( ) = 2 s1 = 7421970, s2 = 3488831, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7421970, Dl.E( ) = 68, 2.41e-05 seconds used appending s1 = 10279529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10279529, s2 = 14106364, int(edited[s2]) = 0 s1 = 10279529, s2 = 14106364, d1 = 41, d2 = 7 Dl.O(d1) = 265962977 Dl.O(d2) = 186460461,177109779,166532434,261667552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10279529, s2 = 14106364, dlinesl.size( ) = 12 s1 = 13900029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7760769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7760769, s2 = 5757971, int(edited[s2]) = 0 s1 = 7760769, s2 = 5757971, d1 = 22, d2 = 0 Dl.O(d1) = 274545154,274857876,238056423 Dl.O(d2) = 233566209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7760769, s2 = 5757971, dlinesl.size( ) = 26 s1 = 8939294, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14152176, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5941650, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5941849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11583460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7439505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5949097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15033825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15033825, s2 = 11298742, int(edited[s2]) = 0 s1 = 15033825, s2 = 11298742, d1 = 103, d2 = 11 Dl.O(d1) = 239088907,266984093,266817650,237516907,236725911,235858045,266157460,265910410,230020116,230020115 Dl.O(d2) = 97698346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15033825, s2 = 11298742, dlinesl.size( ) = 20 s1 = 7425236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7425236, s2 = 7473191, int(edited[s2]) = 0 s1 = 7425236, s2 = 7473191, d1 = 99, d2 = 100 Dl.O(d1) = 266524651 Dl.O(d2) = 266998608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7425236, s2 = 7473191, dlinesl.size( ) = 2 s1 = 7425236, s2 = 7473191, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7425236, Dl.E( ) = 130, 4.39e-05 seconds used appending s1 = 5953220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7777000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7777000, s2 = 11468982, int(edited[s2]) = 0 s1 = 7777000, s2 = 11468982, d1 = 32, d2 = 21 Dl.O(d1) = 274790819 Dl.O(d2) = 264776696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7777000, s2 = 11468982, dlinesl.size( ) = 26 s1 = 8947607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7443328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9728234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9728234, s2 = 6618273, int(edited[s2]) = 0 s1 = 9728234, s2 = 6618273, d1 = 25, d2 = 29 Dl.O(d1) = 242393250,267062791,267055036,239685947,266759423 Dl.O(d2) = 63124658,71447191,85019790,258695892,101864277,87890768,87890769,259721042,18992299,256656453,52757809,258420157,77142842,64012052,256596142,13257607,13257608,18645168,256000441,39813450,49836790,61319863,71183935,264181059,264729091,215482410,218864171,221719883,265541927,225210831,227209911,228956073,230497166,266162505,234218330,235232134,236154813,236995922,266694177,238462050,239100062,239686142,240228566,240731234,241196823,241277890,240818099,240322505,239789150,239212531,238585373,237899494,237144263,236314964,235406922,234411667,233318423,232111526,230772419,229270839,227572043,225630064,223397401,220815069,217782398,214149685,209725618,204331049,197864611,190277059,181487458,171474315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9728234, s2 = 6618273, dlinesl.size( ) = 8 s1 = 11586510, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7427824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7427824, s2 = 16332044, int(edited[s2]) = 0 s1 = 7427824, s2 = 16332044, d1 = 32, d2 = 41 Dl.O(d1) = 266551067 Dl.O(d2) = 265500706,264908896,218835938,215452012,211357973,211357972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7427824, s2 = 16332044, dlinesl.size( ) = 2 s1 = 7427824, s2 = 16332044, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7427824, Dl.E( ) = 42, 1.19e-05 seconds used appending s1 = 15961405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16149997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16149997, s2 = 5933455, int(edited[s2]) = 0 s1 = 16149997, s2 = 5933455, d1 = 17, d2 = 13 Dl.O(d1) = 259496067,74173998,61393356,61393355,74173995,87778923,75327729,258937157,103127170,117243128,131040974,144278290,156702917,168192105,178549810,187701926,195679053,202503711,264587905 Dl.O(d2) = 236958456,237730685,266755845,239659019,239187707,238555687,237866060,237108616,236279056,235370399,235370398,236279052,236279051,237108615,236279053,235370397,234373410,233277053,232065608,232065606,232065607,233277052,232732088,231463346,230047297,228451189,226635295,224552058,222153769,219360650,216054917,212064699,207180352,263732182,194221173,201257532,207180351,201257535,194221178,194221177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16149997, s2 = 5933455, dlinesl.size( ) = 2 s1 = 16149997, s2 = 5933455, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16149997, Dl.E( ) = 18, 8.82e-06 seconds used appending s1 = 5964983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5964983, s2 = 8884368, int(edited[s2]) = 0 s1 = 5964983, s2 = 8884368, d1 = 7, d2 = 2 Dl.O(d1) = 238608050 Dl.O(d2) = 233364064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5964983, s2 = 8884368, dlinesl.size( ) = 2 s1 = 5964983, s2 = 8884368, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5964983, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 11590776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590776, s2 = 16230288, int(edited[s2]) = 0 s1 = 11590776, s2 = 16230288, d1 = 51, d2 = 53 Dl.O(d1) = 266692818,238608064 Dl.O(d2) = 26193912,19484599,13943656,9570548,9570553,13943662,14499106,13683146,9378127,6143605,6143604,9378124,13693676,19175979,255689167,25820792,19170568,13689827,9375470,6141803,3842945,254208077,1336227,2302649,3842950,6141811,9375488,9369097,9369100,9375454,254289758,254289760,13689824,13689825,19170565,25820788,33621221,254880346,255597872,24563286,24563285,32146063,40923487,51064142,40923510,32146082,24563299,255229514,13057203,8897215,8897216,255207968,24881111,24313265,24313266,31831294,30403282,30403281,38992275,48915832,60313915,49858366,39834703,31152158,31152152,23664928,17347410,17347411,23664931,18182799,18182797,268265244,38992271,30403274,30403275,38992273,41792556,32871452,32871451,41792552,256073712,257135588,51064153,51064147,268706053,24563289,32146070,40923493,51064148,51185189,41028721,32236264,32236262,41028717,256073704,62835294,256584330,256584328,51931489,41628326,41628327,51931490,63741774,268454184,51185177,51185175,62835282,62057892,257135584,74856922,74856923,74856925,74856926,88494148,102502963,89786625,78339651,78339650,92372537,106676651,103697878,89581948,75799481,62835289,51185191,51185192,62835291,75799485,75799488,75799487,76846656,76846657,90182580,76354105,257114630,88494154,74856928,257721228,258925570,53078459,53078458,65060827,78339644,78339661,65060837,53078463,42630968,42630966,53078461,65060833,78339649,257721226,89581958,75799492,62835297,62835296,63741754,51931482,51931481,63741752,62835286,62835287,75799479,84775494,76135183,63129206,51431581,41233483,41233484,51431583,63129208,58484297,47105978,47105977,58484294,51598746,51598745,258356287,90182584,104335304,92372540,84775500,71206274,71206273,78339646,81492734,71206283,58484283,58484281,71206281,84775506,257135578,78339638,71206287,71206286,67686971,55347238,55347237,67686967,58484263,58484262,58484300,47105980,256084218,61341925,74124969,84775502,95528578,84775498,71206272,58484273,47105965,47105963,58484268,258548730,269332560,37209206,268218664,15440973,255835333,37209203,47105975,58484292,71206290,63741744,63741743,76846638,90718567,81492745,268813116,256724778,55620873,68008779,68008780,81492741,95528580,95528589,98704021,84775504,258548728,89391594,75630390,71206264,71206265,270151286,62685744,51055200,51055199,62685742,75630413,89391603,90718571,270151284,71206255,71206254,75630432,62685757,51055209,51055210,40913289,32135503,32135502,40913287,51055217,62685768,75630439,89391626,255618428,67553404,55209751,44359182,44359181,35302417,27183342,27183341,35302415,44721960,51931462,63741731,75630436,62685763,269922959,77023866,271022525,68128514,256760702,77311167,255757164,67553409,55209754,44359184,34981781,26902110,26902111,34981782,35302480,27183386,27183385,35302477,35302493,35302494,41628328,32722039,32722021,32722019,40913283,40913282,268275896,63912417,52093846,254429532,32860237,41780650,255223162,62685762,75630428,75630425,62685754,62685755,75630427,64163066,64163065,64163059,52311491,41970849,33027706,33027704,41970847,44722071,55620991,55620971,44722053,44722052,51931464,41628304,32722023,25035200,18501817,18501816,254475202,20260705,18501824,18501825,254695584,41628330,51931493,63741777,64163067,52311496,41970854,33027711,25301602,25301601,268554762,256760688,81492840,68008893,68008894,81492843,255757152,52311490,52311489,255757150,51931471,41628315,32722032,25035206,18501821,18501819,25035202,32722026,41628310,51931468,63741735,67553399,55209743,44359169,44359170,254984110,75630411,67553382,67553381,255339710,68008889,55620966,44722049,35302475,35302474,44722046,255757154,77023869,63912419,63912418,76846632,63741739,63741738,76846631,67553402,55209748,44359177,34981778,26902104,26902105,20019563,20019564,20260743,14536765,254695582,6572882,254984113,20260746,27183390,35302488,44722063,55620981,68008908,71643147,71643146,85208436,90718561,81492846,68008898,55620972,255339706,67553386,67553391,55209736,44359164,34981774,26902103,26902102,34981772,44359161,55209730,67553383,81023141,256234094,65065695,78344650,81023135,67553378,67553379,268554754,92380457,78348412,65069591,65069590,268342334,81023145,87853559,101828181,115875179,115875177,257327632,74248884,61470655,49993240,256234102,53082861,53082862,65065700,65065707,256760686,87853570,74248929,257196822,49993253,61470680,74248931,87853575,87853564,74248909,269079112,39977124,39977123,39977114,39977113,31302341,31302340,257064817,61470652,74248897,87853558,74248906,74248907,61470675,61470676,74248922,87853573,74248924,61470677,61470678,61470693,49993267,39977139,39977138,49993265,61470690,71643136,58922080,257196820,29085933,23815674,254920546,12325032,17480938,23815672,31302344,257064819,58922101,256234092,74248914,74248913,87853566,85208442,71643160,58922115,58922116,61470645,58922105,268929997,37635761,47540989,49993227,58922120,47541005,47541004,47540996,37635766,37635767,47540998,49993231,39977110,31302333,23815665,23815666,31302335,39977112,257647391,74248887,256760684,74248935,61470686,49993262,49993260,61470660,61470657,63741833,63741834,58922092,47540981,37635753,256897427,58922093,58922121,58922085,47540978,256355653,21788434,15730097,10893424,255054897,21788431,29085932,29085939,21788438,21788437,24809012,18320574,18320573,21916911,21916910,29234210,256865217,28664153,21418367,21418368,28664154,37185089,34048358,26193910,19484597,19135150,13663352,13663353,19135151,25775597,33565088,42582217,47432890,47432889,58819465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590776, s2 = 16230288, dlinesl.size( ) = 2 s1 = 11590776, s2 = 16230288, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11590776, Dl.E( ) = 58, 1.69e-05 seconds used appending s1 = 16230287, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14153345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15960770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14804785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8906598, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10290860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10290860, s2 = 8157770, int(edited[s2]) = 0 s1 = 10290860, s2 = 8157770, d1 = 64, d2 = 48 Dl.O(d1) = 240030809,240546750,240963706,266855586,239393890,238783401,238119092,237389190,236586098,236586099,237389188,236586096,236586095,237389186,238119087,238783390,239393870,239957112,240479239,240963676,267041731,242211206,242565762,242613543,242613536,242261647,241881649,241881650,242261651,242613540,242613529,242261639,241881643,241469738,241025913,240546763 Dl.O(d2) = 259447720,258200310,269367870,259654437,119882616,133752917,272238123,114902101,271831365,261784843,260064365,86870388,73257777,257592055,39178020,30580103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10290860, s2 = 8157770, dlinesl.size( ) = 32 s1 = 9301687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604450, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9729238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5949235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5949235, s2 = 7357886, int(edited[s2]) = 0 s1 = 5949235, s2 = 7357886, d1 = 23, d2 = 60 Dl.O(d1) = 238235396 Dl.O(d2) = 265805354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5949235, s2 = 7357886, dlinesl.size( ) = 56 s1 = 5850233, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5949898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5949898, s2 = 15222687, int(edited[s2]) = 0 s1 = 5949898, s2 = 15222687, d1 = 0, d2 = 59 Dl.O(d1) = 238252049 Dl.O(d2) = 267656677,267664721,267667197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5949898, s2 = 15222687, dlinesl.size( ) = 2 s1 = 5949898, s2 = 15222687, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5949898, Dl.E( ) = 76, 1.69e-05 seconds used appending s1 = 16252513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7433237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13906569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13906569, s2 = 7447787, int(edited[s2]) = 0 s1 = 13906569, s2 = 7447787, d1 = 2, d2 = 58 Dl.O(d1) = 240114844,239566131 Dl.O(d2) = 243567507,243284860,242982385,242658959,266920336,241532956,266749946,266534332,238972227,239566147,266684254,240114859,267164531,274905386,266868130,241095233,266684256,266684260,240623622,240114866,239566149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13906569, s2 = 7447787, dlinesl.size( ) = 2 s1 = 13906569, s2 = 7447787, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13906569, Dl.E( ) = 64, 1.5e-05 seconds used appending s1 = 14797255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7433692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7433692, s2 = 4170135, int(edited[s2]) = 0 s1 = 7433692, s2 = 4170135, d1 = 84, d2 = 25 Dl.O(d1) = 266609701,238350728 Dl.O(d2) = 156097580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7433692, s2 = 4170135, dlinesl.size( ) = 38 s1 = 5954681, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 5983333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16322745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13931279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13931279, s2 = 15563789, int(edited[s2]) = 0 s1 = 13931279, s2 = 15563789, d1 = 8, d2 = 13 Dl.O(d1) = 241980745,241980744,241980746,241581171,241149354,240682746,240178862,239633528,239044462,274768650 Dl.O(d2) = 222670822,219949476,216724383,212833364,208074103,202302163,202302162,195436495,187408673,178182737,167727150,156123198,143587386,130259172,116422327,102329902,88334097,74706588,61913269,50423067,256840266,24480340,21472229,15469649,15469650,21472231,28729789,30009346,38581288,37261904,37261903,39776492,39050943,39050944,38584075,38584076,37197251,28674865,21426939,21426938,28674863,29151753,22817785,16598556,11576330,7705420,4876640,4876641,4823560,4823561,7623884,4876635,2938451,2938452,4876636,7705409,11576307,16598523,22817733,30209656,38794222,48715630,59893167,72635325,60110405,60110406,269357590,70764348,58045470,46670365,46670364,58045468,70764347,84323601,86458207,270283942,128316263,128316259,114439716,114439717,128316260,141665441,154317185,166065519,176701604,186114363,194318221,201344798,207258455,201344797,201344796,207258453,212135167,216119471,219420078,222208080,222720814,220007072,216792616,212914146,208170685,202419006,195573985,273399169,259829708,259204992,102602393,88594462,74952485,62143063,50636892,40589155,31882217,31882216,34521339,34521336,43767074,54479311,256253010,94213424,108524213,101340504,87353309,79392640,66023050,53951070,53951069,48155076,48155077,59541502,60037996,48642937,38723268,30142805,22756465,16544960,16544959,268413399,38723208,48642831,258166965,86372435,100330864,260632405,128234223,129309507,115400274,115400275,104119360,104119361,118277482,118277479,108210589,259531980,122490431,258584920,108210588,122576810,109184421,94920129,80856088,80856089,94920131,108812246,255771156,256252586,44004138,54764915,54816265,54816269,67112914,80565548,67499958,55158603,44312530,39585666,30995055,30995052,39653709,44301455,49621196,44336608,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423367,4047996,2423603,2423600,4048776,6460661,9835819,14318445,19995000,256209925,257300393,67511342,80981106,257951664,66239680,66239681,79628690,70299610,70299611,61020943,49579321,39605845,39605846,39653686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13931279, s2 = 15563789, dlinesl.size( ) = 2 s1 = 13931279, s2 = 15563789, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13931279, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 5984459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6058508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7455526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8916091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5960979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5960979, s2 = 15038610, int(edited[s2]) = 0 s1 = 5960979, s2 = 15038610, d1 = 1, d2 = 11 Dl.O(d1) = 238508907 Dl.O(d2) = 243902876,243902878,244143069,244366375,244143068,244143067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5960979, s2 = 15038610, dlinesl.size( ) = 2 s1 = 5960979, s2 = 15038610, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5960979, Dl.E( ) = 22, 2.91e-05 seconds used appending s1 = 15082049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13920585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13920585, s2 = 7296532, int(edited[s2]) = 0 s1 = 13920585, s2 = 7296532, d1 = 38, d2 = 26 Dl.O(d1) = 266558759,237890690,266769269,274824107,238577424,238577411 Dl.O(d2) = 265108105,214113138,264376215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13920585, s2 = 7296532, dlinesl.size( ) = 8 s1 = 15189293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15189293, s2 = 13904575, int(edited[s2]) = 0 s1 = 15189293, s2 = 13904575, d1 = 21, d2 = 6 Dl.O(d1) = 267268705,244210994,244427325,244210992,267268702 Dl.O(d2) = 238014476,237270646,236453545,235558565,234576296,233497526 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5995487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5995487, s2 = 5605925, int(edited[s2]) = 0 s1 = 5995487, s2 = 5605925, d1 = 21, d2 = 0 Dl.O(d1) = 239312818 Dl.O(d2) = 229527640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5995487, s2 = 5605925, dlinesl.size( ) = 30 s1 = 5968702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5968702, s2 = 8981979, int(edited[s2]) = 0 s1 = 5968702, s2 = 8981979, d1 = 3, d2 = 36 Dl.O(d1) = 238694736 Dl.O(d2) = 274936284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5968702, s2 = 8981979, dlinesl.size( ) = 26 s1 = 8889394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8889394, s2 = 8927346, int(edited[s2]) = 0 s1 = 8889394, s2 = 8927346, d1 = 18, d2 = 4 Dl.O(d1) = 266939962,240416483,239889277,239318640,238698675,238022707,237279795,236463606,236463607,237279792,266564662,236463614,235569696,234588489,233511029,233511028,266491165,237279794,238022706,238698674,239318639,266834114 Dl.O(d2) = 238022721,266482552,235569697,234588492,233511031,265949006,229545381,229545380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8889394, s2 = 8927346, dlinesl.size( ) = 22 s1 = 14149380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149380, s2 = 14342321, int(edited[s2]) = 0 s1 = 14149380, s2 = 14342321, d1 = 50, d2 = 0 Dl.O(d1) = 163380390,151497815,151497816,163380392,262610405,151497875,262123297,151497873,151497872,151497622,138797213,138797211,151497614,163380217,151497736,151497737,163380261,151497653,138797233,138797235,138797240,151497664,163380275,174231943,163380409,151497836,151497643,138797228,138797227,151497636,151497732,151497731,138797343,125469283,111667933,97748976,83892271,70367747,70367746,83892268,97748969,111667927,125469272,138797335,151497761,163380348,174231998,174231884,163380198,151497603,151497601,163380195,174231880,163380468,151497884,138797451,125469360,111667985,97749013,83892291,83892292,259866353,111667990,97749018,83892297,83892298,97749023,111667996,125469365,138797454,138797400,125469331,125469330,138797397,151497838,151497826,138797429,125469344,125469343,138797424,138797297,125469244,125469243,138797290,138797212,138797211,151497614,163380217,151497736,151497737,163380261,151497653,151497651,163380253,174231929,174231948,263460291,183901109,192375434,199672178,205844555,210950053,265152037,265522835,266306177,266492645,266648505 Dl.O(d2) = 24189837,17821083,12617680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149380, s2 = 14342321, dlinesl.size( ) = 12 s1 = 5971132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5971132, s2 = 5969167, int(edited[s2]) = 0 s1 = 5971132, s2 = 5969167, d1 = 5, d2 = 3 Dl.O(d1) = 238747576 Dl.O(d2) = 238706895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5971132, s2 = 5969167, dlinesl.size( ) = 14 s1 = 7468130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5972049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5999846, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6002541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16140793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16140793, s2 = 12736188, int(edited[s2]) = 0 s1 = 16140793, s2 = 12736188, d1 = 0, d2 = 314 Dl.O(d1) = 4247948 Dl.O(d2) = 199068117,199068118,205331455,205331457,210516858,205331456,205331455,205331457,210516858,205331459,199068120,191664387,183054920,183054919,191664386,191664384,183054918,173203879,162103522,149891047,136749025,122916982,108651737,259761725,80306901,66877262,54619370,43876911,256199525,255861376,15762455,21830764,29138179,29133213,21826144,21826143,29133211,25897445,19237130,19237062,19237063,15728716,10892043,7203152,4538127,4538128,7203156,10892045,15728718,21783437,15724488,15724489,254341098,29081359,22092983,15985378,11097291,7359638,7359633,11097264,10913296,7217480,7217478,10913259,254687304,21825050,22681143,23932403,21824920,15757567,10912757,10912755,15757555,14375239,9881235,9881234,14375235,20059786,24712078,26899779,20017614,15984720,15984719,12415657,12415659,17589334,14361168,9868080,6482333,6482336,9868066,9868104,14361219,14361373,20047279,26933591,21588523,21588522,20075516,14393040,14393039 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5977250, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8916813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6003994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6003994, s2 = 8790619, int(edited[s2]) = 0 s1 = 6003994, s2 = 8790619, d1 = 16, d2 = 27 Dl.O(d1) = 239494078 Dl.O(d2) = 212019415,207130342,201202746,194161764,263169325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6003994, s2 = 8790619, dlinesl.size( ) = 2 s1 = 6003994, s2 = 8790619, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6003994, Dl.E( ) = 32, 1.22e-05 seconds used appending s1 = 14150304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150304, s2 = 5812372, int(edited[s2]) = 0 s1 = 14150304, s2 = 5812372, d1 = 1, d2 = 18 Dl.O(d1) = 236751188 Dl.O(d2) = 266672175,234933757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150304, s2 = 5812372, dlinesl.size( ) = 2 s1 = 14150304, s2 = 5812372, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14150304, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 5920559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16261323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16261323, s2 = 16350436, int(edited[s2]) = 0 s1 = 16261323, s2 = 16350436, d1 = 10, d2 = 8 Dl.O(d1) = 243916178,244154859,244154858,244377025,244304248,244077778,243834609,243572724,243290429,242987865,242664714,242318252,241944259,241539546,241102599,241102598,240631800,240124163,239576577,238984174,238340063,237632509,266596890,235053759,234018316,232881984,231627047 Dl.O(d2) = 265871478,222451457,265209198,265000680,207698885,201868936,201868935,264232010,263562490,167052033,155412186,155412187,142831139,129514309,115629385,260020900,74017659,61237011,49758079,39739495,31061733,23578212,17266508,12146025,8175740,8175741,12146028,17266514,23578219,22462822,19665365,19665348,19665349,26399198,34274105,43262669,36723199,30211280,30211281,24216516,17846083,17846081,14095681,14095682,19664453,18535326,18535315,13170118,13170116,18535309,25078504,255101902,52004950,63821119,256962538,90805314,104983179,119178192,259401336,158621610,169984350,180154898,262734566,209027812,264231036,223064907,264999936,274278923,216252454,212292742,207446634,201569455,194586450,186433184,177078502,166497422,154791159,142157045,128802265,114905008,270363254,86873187,100854218,86873188,73260690,60514649,49111875,255990680,16903880,11829615,11829616,16903882,13661505,9537733,6257075,3917010,3917012,6257080,9537751,9473974,9473973,10787313,10787310,15593535,16419644,14926534,14926532,20824690,20838326,20838324,18045951,14586512,10784895,10784896,13462457,12724833,12724834,15586506,15586505,21616363,28892522,21631299,21631300,18238692,13311589,9092517,9092516,13311587,18704797,22464278,254440838,35410711,27285605,20350484,14978819,14978821,20881076,20340944,17278456,12158029,12158028,17278455,20856802,20856800,26165500,23967418,23967419,31463265,40146762,50171963,61658026,74442034,88053776,102038099,116094936,130003946,143337538,155883229,262821673,263633181,263980401,207953782,212727491,215737959,211688951,206734807,200738493,200738494,193632310,185340588,175835807,165111271,153297700,259424548,113413568,99412290,85471410,71886877,59149044,47750536,268234998,29262678,21941213,15852873,15852877,21941222,22947837,17566497,12395011,12395012,16903128,11829074,7905301,5025063,5025062,7905299,11829069,16903121,23165810,30583708,31467846,23972185,17623710,12442975,12442976,17623714,23972198,24127327,31633971,40322911,49110920,49110921,49232955,39306267,39306268,49232954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16261323, s2 = 16350436, dlinesl.size( ) = 2 s1 = 16261323, s2 = 16350436, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16261323, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15038609, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14800485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10280686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10280686, s2 = 6191449, int(edited[s2]) = 0 s1 = 10280686, s2 = 6191449, d1 = 10, d2 = 4 Dl.O(d1) = 264679026,230335726,231724938,232973057,234102965,235131149,236065940,236916168,237689996,238392757,239033481,239622957,240168517,240673283,241140945,241573864,241974759,242345399 Dl.O(d2) = 243593731,243855051,244097900,244323696,244533672,244729183,244911508,245082479,245242271,274980996,245667411,245791657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10280686, s2 = 6191449, dlinesl.size( ) = 2 s1 = 10280686, s2 = 6191449, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10280686, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 7434580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7434580, s2 = 7785722, int(edited[s2]) = 0 s1 = 7434580, s2 = 7785722, d1 = 36, d2 = 35 Dl.O(d1) = 266618927,238433506,239072776 Dl.O(d2) = 274906675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7434580, s2 = 7785722, dlinesl.size( ) = 42 s1 = 16332043, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14149874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7442203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9628395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9628395, s2 = 6030072, int(edited[s2]) = 0 s1 = 9628395, s2 = 6030072, d1 = 19, d2 = 14 Dl.O(d1) = 225428054,227392882,229111416,230629450,230629448,229111414,229111413,227392877,265787237,230629446,266277439 Dl.O(d2) = 240081231,239529699,238932522,238282860,237569147,236783149,235919431,234971998,233930784,232788056,231523381,230112435,228523051,226714223,265580805,222250081,219466601,216171367,212194803,207326102,201421116,263583265,262759927,154477056,261772731,260650379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9628395, s2 = 6030072, dlinesl.size( ) = 2 s1 = 9628395, s2 = 6030072, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9628395, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 10289631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10289631, s2 = 14236475, int(edited[s2]) = 0 s1 = 10289631, s2 = 14236475, d1 = 116, d2 = 69 Dl.O(d1) = 242442815,267175906,242442825,242079758,242079757,242442824,242079766,242079756,242079736,241685815,241685814,242079735,242442813,242442820,267068462,241259391,240798476 Dl.O(d2) = 246648491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10289631, s2 = 14236475, dlinesl.size( ) = 46 s1 = 6015701, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6016360, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13907791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16265651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16265651, s2 = 6042761, int(edited[s2]) = 0 s1 = 16265651, s2 = 6042761, d1 = 38, d2 = 35 Dl.O(d1) = 43829907,54572779,66830052,79817386,66818260,66818261,80246500,84880981,71306492,71306490,66501359,66352735,54195549,54187830,54187831,66343084,74952457,70976563,70976560,65298078,65298079,70291648,57603117,57603118,67227506,54903863,44096221,34771700,255767806,34903120,26842275,26842273,34907709,44271628,44271941,34907994,34907995,34908014,34908017,43484570,49608723,52376511,52376512,51034716,40896661,40896662,42033495,42033494,52376538,64231434,257377366,68787386,259827517,270722908,94178574,80561012,80561011,258608498,259174510,66680581,66680583,80104314,91299768,77381425,257377366,68787386,56288616,45251854,45251855,35707089,27490281,27490282,35707094,45252165,56288946,54242623,44109018,34780049,26750187,19909489,14261378,14261374,19909540,26751230,34782130,258777357,59839118,59839117,68434427,81958828,96005312,92198476,92198478,106472547,94175344,80098438,66674762,256786166,63175171,259833630,105505257,91300499,91300498,105518467,104443934,90293241,258359497,258376559,41719250,32800120,32800122,41719261,39668450,31003353,31003351,39668444,49614634,44303971,41718822,34877621,26821073,26818341,19954486,14288955,14288959,9823856,6455484,4046717,2423023,2423020,4046744,6456087,9827458,14306163,19980689,26760059,29104674,29104677,37653636,47558955,47558958,58940954,66788063,80098401,94175318,108493058,102599790,102599789,108896412,108896414,109234562 Dl.O(d2) = 223666930,225841970,227738778,229402968,230880768,232204846,233400324,234486015,266371956,237200667,266623776,239260939,239835893,240366903,240858985,241313999,267021786,240737752,240236101,240236100,240737751,241202655,267063401,242398132,242738641,243055421,267180603,242498385,242137657,241748572,241327469,240872850,240382003,239852705,239279344,238655923,237975521,237227012,266485335,234519592,233437475,232246338,230926569,229453608,227795499,225906703,265330889,218325283,214855110,210638504,205477481,199238927,191865959,183294016,262571333,272459533,260393539,95093893,81036110,67567516,55224534,44373748,34995552,26914160,20029722 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5993841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5994143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5994143, s2 = 13159613, int(edited[s2]) = 0 s1 = 5994143, s2 = 13159613, d1 = 10, d2 = 66 Dl.O(d1) = 239281547 Dl.O(d2) = 261150545,113488016,99477373,85530893,258106023,47804394,37880736,268629143,21984012,15888172,11013876,7291042,4597740,2770874,1606865,1606866,2770877,4604428,4681867,2820896,1636573,1636574,1603379,911718,514360,514359,911716,254099243,159899,88034,88032,159892,288879,289179,514937,515927,514352,514353,851725,481115,270782,150110,82573,82571,150101,270769,481094,851763,911791,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288892,289441,289285,160111,88123,48498,48497,88119,88110,88112,160085,160028,160029,289147,515236,913201,913437,1606000,913893,515707,289419,160189,160188,289413,515695,913873,914011,1606762,2767466,3372857,1984752,1133769,912345,912346,1604366,1606448,1502623,1502622,1604593,912499,912496,1604586,1604731,1604730,2767974,254235453,1631904,2812950,4669110,7098110,4469092,2770260,2767777,2767388,2767389,2857539,4604190,4741591,4602850,2769739,2769738,1632011,928090,928089,1632005,2813067,4603813,2928031,1698437,1698439,2928040,4469084,4604543,4540720,4540447,2813961,1632553,1632554,2812873,4600397,4469142,4469138,4669055,267884203,2685046,1555360,884289,498977,279835,154464,84660,84661,154472,279860,319355,522970,927847,1631679,1775090,1775088,1672545,951488,951489,1672550,1011967,928073,523097,523096,928061,1631968,2813018,1774907,1011853,1011855,1774914,3047042,4598333,3046367,1774336,1011847,1011849,1774504,1774508,1775280,1557674,885533,885534,1557678,1011325,570032,570035,570047,570045,570282,319424,176638,97154,53614,30209,17371,17372,30213,53627,97179,176693,319527,570483,1011364,1011362,1012183,1011405,570079,570077,1011400,570421,570420,1011985,1775071,3046216,1774166,1687077,1011956,1011957,1011340,1011341,1774235,1775000,1011925,1011926,1601228,1012197,1012196,1133808,1984791,3046181,1774633,1011627,570208,319382,319383,319453,570337,514522,514523,319397,319375,176714,97186,97188,176662,176661,319471,570371,1011882,1686643,958951,540305,302732,302730,353540,353539,636538,540081,540080,958565,1685972,1775179,1012107,570494,570493,1012100,636441,636439,1134274,1011931,570399,570400,1011937,1133609,958588,958589,1686002,2906569,2757854,1598832,909037,531000,297791,297790,254124679,540097,302630,302629,540096,958590,943673,532238,532237,943671,1654777,941513,531057,498765,498766,883898,1133486,635820,352916,193316,193317,254106563,943597,532175,298481,298480,532173,353384,193744,165342,91052,50194,32717,18791,10773,10774,18768,32667,18813,18814,32756,267736121,28213,267735513,91181,158749,158748,167719,165396,100636,55490,31314,31316,55498,47049,28622,16349,16348,17554,17552,30464,53911,97467,177006,319943,298375,298374,176455,100367,55341,51432,51433,254074781,28925,16560,9456,9457,16562,28928,51412,254070794,26459,14954,8358,4513,2358,1161,565,564,254068999,4505,8344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5994143, s2 = 13159613, dlinesl.size( ) = 2 s1 = 5994143, s2 = 13159613, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5994143, Dl.E( ) = 72, 2.41e-05 seconds used appending s1 = 5994266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5994266, s2 = 5666369, int(edited[s2]) = 0 s1 = 5994266, s2 = 5666369, d1 = 40, d2 = 36 Dl.O(d1) = 239284871 Dl.O(d2) = 231187282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5994266, s2 = 5666369, dlinesl.size( ) = 2 s1 = 5994266, s2 = 5666369, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 5994266, Dl.E( ) = 88, 2.5e-05 seconds used appending s1 = 16257889, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7452425, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14208213, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6024334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5973325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6024777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13897495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16252338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16252338, s2 = 7522793, int(edited[s2]) = 0 s1 = 16252338, s2 = 7522793, d1 = 52, d2 = 51 Dl.O(d1) = 224354154,224354155,264959316,219103015,219103016,221928475 Dl.O(d2) = 267465934,245510368,245366713,245213975,245051152,244877387,244693061,244495578,244284143,244056386,243811146,243547203,243262934,242958918,242633264,242283790,267050521,241057038,240581710,240069324,239516358,238917552,238265753,237549629,236760794,235894801,266339967,231491945,230079710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16252338, s2 = 7522793, dlinesl.size( ) = 12 s1 = 7433036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7433036, s2 = 6792265, int(edited[s2]) = 0 s1 = 7433036, s2 = 6792265, d1 = 44, d2 = 46 Dl.O(d1) = 266602906 Dl.O(d2) = 273959168,263025678,262082056,118015180,118015179,272090992,260209895,89767651,258526968,257306926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7433036, s2 = 6792265, dlinesl.size( ) = 14 s1 = 7446350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446350, s2 = 6027407, int(edited[s2]) = 0 s1 = 7446350, s2 = 6027407, d1 = 52, d2 = 1 Dl.O(d1) = 266736307,239484773,240039895 Dl.O(d2) = 240024499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446350, s2 = 6027407, dlinesl.size( ) = 2 s1 = 7446350, s2 = 6027407, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7446350, Dl.E( ) = 66, 1.91e-05 seconds used appending s1 = 6028520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6028807, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7439436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7439436, s2 = 11660123, int(edited[s2]) = 0 s1 = 7439436, s2 = 11660123, d1 = 23, d2 = 21 Dl.O(d1) = 266667533,274814081 Dl.O(d2) = 176712464,166075234,262417090,261763297,270466116,48416867,38510956,29947296,29947297,28324927,255492030,28003525,22218556,16086803,268084089,11172601,7412578,7412574,11172587,11172669,8296615,8296613,12285212,17430047,12297731,8305709,8305712,12297708,12295519,8304442,8304438,12295536,17442632,23771077,21276040,21276037,17429339,12284788,8296381,5352118,3289355,3289357,5352133,8296413,12284843,17429438,23756110,23756200,17429550,17429551,23756279,31240061,37114226,37114227,47000072,58370474,49953387,39935922,256009865,12297668,8305678,8305680,12297675,17445940,23775587,256370090,30569996,39167857,40223989,255721122,31684431,35211836,31349170,31349171,24141201,255195876,12581213,254415030,24098932,31590386,24086485,17729176,12543228,8502880,8502882,12543231,254190738,21794752,21794751,21800149,254842406,7209571,7209572,7209586,4542497,2730626,1582205,899489,507370,284492,254098729,899477,1582178,254230009,899478,899477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7439436, s2 = 11660123, dlinesl.size( ) = 20 s1 = 6029880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7447022, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7464725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14805575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14805575, s2 = 15748686, int(edited[s2]) = 0 s1 = 14805575, s2 = 15748686, d1 = 2, d2 = 8 Dl.O(d1) = 166846468,166846460,155153435,142509324,142509325,155153437,166846464,177393999,186709861,194823436,201767014,207612341,212432437,216374280,219643132,222404040,224773728,266017323,232857143,233994937,235031408,235974582,236833340,237613910,238323967,238970296,239564514,266857326,241093849,241531658,241936871 Dl.O(d2) = 241936872,242311377,242658182,242981690,243284169,243566824,243829217,267277210,243829215,243566823,243284166,242981689,242658179,242311373,241936869,241936868,242311372,242658177,242395134,242395133,242735649,242395132,242395131,242395137,242395136,242395135,242028048,241629923,241198985,241198984,241629921,242028041,242395127,242395130,242395129,242395137,242395136,242395138,266923470,241629920,241629921,241629917,241198982,241198983,241629919,242028043,274852812,242028043,242028042,241629924,241198986,240733637,266616588,239103005,238464865,237766907,236998964,236157900,235235427,234221963,233106948,231873717,230503416,228963559,227219322,225222989,222926583,220261601,217115991,213332195,208709959,203082721,261866468,179484153,271421738,145391163,258294778,104188277,90058736,76250396,63235363,51522181,51522182,62005683,62005684,62005660,50514171,40479118,40479117,50514168,62005658,257781786,38756534,38756532,48678090,49405498,50514266,62005741,74802198,62005548,50514121,40479082,31784785,24272041,24272042,31784789,40479085,35379974,35379973,39476584,49405461,40468138,31773385,24261303,17883714,17883715,18331889,24823547,32461284,41304394,39476608,30872649,30872648,39476606,49405484,50514126,42564234,255594332,42564250,53004185,53004186,50514183,50514182,51522174,52406693,64261880,60806020,49405467,49405468,60806012,49405458,39476578,30872625,30872624,257033931,52406635,42062913,33113982,33113981,42062891,42062890,52406612,49220383,42062948,42062947,52406616,64261872,77411573,91330128,105547799,119780958,133650837,146904025,159274513,170609307,180737936,189632523,197317329,203871676,263266256,203871677,209342762,209342760,209342759,213830797,217513050,220584308,223196056,225453830,265443718,229823558,265905452,266322369,235741452,236619596,266539498,238808632,239416790,239978262,240498488,274852820,266815094,240275140,239736585,266616596,266454718,236235739,235322059,265905454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14805575, s2 = 15748686, dlinesl.size( ) = 2 s1 = 14805575, s2 = 15748686, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14805575, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 6007461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6007461, s2 = 7507492, int(edited[s2]) = 0 s1 = 6007461, s2 = 7507492, d1 = 1, d2 = 21 Dl.O(d1) = 239570817 Dl.O(d2) = 244302439,267327795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6007461, s2 = 7507492, dlinesl.size( ) = 26 s1 = 7452038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7452038, s2 = 15512246, int(edited[s2]) = 0 s1 = 7452038, s2 = 15512246, d1 = 33, d2 = 41 Dl.O(d1) = 266792549 Dl.O(d2) = 109840328,95636821,95636820,95636822,81604015,68115305,68115304,55718849,55718845,55718846,44812293,44812294,55718852,68115306,81604016,95636824,109840329,123979942,137661920,150659482,162755627,173756844,183526962,192070699,199422748,205643482,200217947,193029992,184652506,175061025,164256761,152384562,139663561,126292534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7452038, s2 = 15512246, dlinesl.size( ) = 38 s1 = 16257129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7785650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7770868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7770868, s2 = 14140438, int(edited[s2]) = 0 s1 = 7770868, s2 = 14140438, d1 = 31, d2 = 34 Dl.O(d1) = 274701732,266750361 Dl.O(d2) = 266357792,233019316,266028132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7770868, s2 = 14140438, dlinesl.size( ) = 14 s1 = 6033340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6033340, s2 = 11590152, int(edited[s2]) = 0 s1 = 6033340, s2 = 11590152, d1 = 24, d2 = 54 Dl.O(d1) = 240156897 Dl.O(d2) = 236035295,235096056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6033340, s2 = 11590152, dlinesl.size( ) = 20 s1 = 8921862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7779677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7779677, s2 = 12637656, int(edited[s2]) = 0 s1 = 7779677, s2 = 12637656, d1 = 68, d2 = 80 Dl.O(d1) = 274826678 Dl.O(d2) = 231829298,265873438,227143455,265772753,230452031,231829300,233067931,234187511,234187510,266236306,233067932,234187513,235205427,236132323,236132322,236976699,236132325,235205429,235205428,266544081,237746914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7779677, s2 = 12637656, dlinesl.size( ) = 2 s1 = 7779677, s2 = 12637656, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7779677, Dl.E( ) = 98, 2.6e-05 seconds used appending s1 = 7782582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6037247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7449247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7449247, s2 = 4309555, int(edited[s2]) = 0 s1 = 7449247, s2 = 4309555, d1 = 26, d2 = 3 Dl.O(d1) = 266764317 Dl.O(d2) = 165932870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7449247, s2 = 4309555, dlinesl.size( ) = 2 s1 = 7449247, s2 = 4309555, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7449247, Dl.E( ) = 34, 8.82e-06 seconds used appending s1 = 6015641, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6016711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14180010, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6017972, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6018922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6018922, s2 = 9748428, int(edited[s2]) = 0 s1 = 6018922, s2 = 9748428, d1 = 5, d2 = 0 Dl.O(d1) = 239850057 Dl.O(d2) = 114482016,100456915,86498487,72902066,60165372,48771173,256445087,22870578,16642548,11610433,11436975,7604720,7604721,11436976,11443298,7609663,4814228,2901262,254360387,7471936,7471935,9117522,5965602,5965600,9117512,9145395,7734669,4896916,2951220,1711544,1711545,267833493,7734676,6471735,4055647,4055648,6471736,7734674,11615290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6018922, s2 = 9748428, dlinesl.size( ) = 2 s1 = 6018922, s2 = 9748428, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6018922, Dl.E( ) = 52, 3.79e-05 seconds used appending s1 = 8957953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11601770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601770, s2 = 7912847, int(edited[s2]) = 0 s1 = 11601770, s2 = 7912847, d1 = 2, d2 = 107 Dl.O(d1) = 46317993 Dl.O(d2) = 2360651,2325057,2325060,3882727,2360651,2360652,3942194,6293838,4005433,4005434,6383634,9705038,12959434,8819247,5745750,5737690,3572804,2708432,2708436,2708604,2708600,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263125,2263141,2263144,3778242,3778499,6039852,9223302,13482003,13483247,18914018,25523366,33283523,42263296,52649016,54596123,43851695,34580080,26592869,19787641,14173518,14173517,19787638,14180679,14180684,19797312,24089138,17731665,12545006,12545007,17731667,24089141,29101259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601770, s2 = 7912847, dlinesl.size( ) = 20 s1 = 6023231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6023231, s2 = 6125628, int(edited[s2]) = 0 s1 = 6023231, s2 = 6125628, d1 = 0, d2 = 7 Dl.O(d1) = 239940524 Dl.O(d2) = 242199847,242555231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6023231, s2 = 6125628, dlinesl.size( ) = 12 s1 = 8958576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7443723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9637542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9637542, s2 = 6630544, int(edited[s2]) = 0 s1 = 9637542, s2 = 6630544, d1 = 88, d2 = 56 Dl.O(d1) = 266897778,240559266,241036592,240559257,240559258,240045003,239490193,238889089,266577384,236725335,236725334,236725333,237516434,238234849,238889086,239490189,240044997 Dl.O(d2) = 256727360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9637542, s2 = 6630544, dlinesl.size( ) = 24 s1 = 6029027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14801444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14801444, s2 = 13304006, int(edited[s2]) = 0 s1 = 14801444, s2 = 13304006, d1 = 72, d2 = 103 Dl.O(d1) = 266680442,237627817 Dl.O(d2) = 49354788,58484954,58484958,71206866,257446730,58327688,47106777,37210027,28685885,21436033,268384335,37210026,47106775,58484980,58327711,58327710,47106806,37210048,28685906,21436048,21436049,28685910,21436055 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6035482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6035482, s2 = 10736648, int(edited[s2]) = 0 s1 = 6035482, s2 = 10736648, d1 = 56, d2 = 115 Dl.O(d1) = 240209742 Dl.O(d2) = 52171878,64003941,270505019,41137147,32323140,32323141,257728805,75983197,89761873,103865286,118010010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6035482, s2 = 10736648, dlinesl.size( ) = 2 s1 = 6035482, s2 = 10736648, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6035482, Dl.E( ) = 140, 3.7e-05 seconds used appending s1 = 15151833, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7446101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446101, s2 = 5695263, int(edited[s2]) = 0 s1 = 7446101, s2 = 5695263, d1 = 29, d2 = 3 Dl.O(d1) = 266733612 Dl.O(d2) = 231937181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446101, s2 = 5695263, dlinesl.size( ) = 18 s1 = 6017372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13930463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6064238, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9640744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9640744, s2 = 5872490, int(edited[s2]) = 0 s1 = 9640744, s2 = 5872490, d1 = 20, d2 = 0 Dl.O(d1) = 245596351,245596218,245458054,245311418,245311415,245458045,245458049,245596214,245724859,245844768,275026766,245844898,245725014,245596338,245458135,245458134,245596187,245724832,245844739,245957585,245957604,245844810,245844811,245957646,245957647,246063781,245957592,245844747,245844748,245844732,267463890,245596185,245596326,245725000,245844897,245957693,245957605,245844759,245844758,245844893,245724991,245596324,245596323,245724989,245844891,245957690,246063804,245957678,245844870,245844864,267463902,267478097,245844867,245725023,245724962,275018550,245458028,267416304,244988880,267360054,244421458,244204366,267267852,267240904,243154312,242842500,242507543,242147552,241759023,241338155,240884030,240393834 Dl.O(d2) = 236429848,236429849,236429814,236429788,236429787,266543128,234547995,234547996,235532843,266569125,237993395,237248305,236429850,236429851,237248307,237248263,236429790,235532844,235532843,236429789,237248260,266543128,235532842,234548045,234548044,235532848,234547999,233466272,232274961,230955597,229483709,227827438,225941293,223779155,221284790,218372909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9640744, s2 = 5872490, dlinesl.size( ) = 2 s1 = 9640744, s2 = 5872490, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9640744, Dl.E( ) = 22, 2.38e-05 seconds used appending s1 = 14152156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6067040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6067040, s2 = 16374591, int(edited[s2]) = 0 s1 = 6067040, s2 = 16374591, d1 = 3, d2 = 11 Dl.O(d1) = 240921287 Dl.O(d2) = 233550956,232369619,265910048,226106142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6067040, s2 = 16374591, dlinesl.size( ) = 2 s1 = 6067040, s2 = 16374591, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6067040, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 13923157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7461202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7461202, s2 = 7411121, int(edited[s2]) = 0 s1 = 7461202, s2 = 7411121, d1 = 55, d2 = 53 Dl.O(d1) = 266881538,266765430,240461258 Dl.O(d2) = 266379809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7461202, s2 = 7411121, dlinesl.size( ) = 12 s1 = 13908739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7473600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15152028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6072214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15037400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15037400, s2 = 11223980, int(edited[s2]) = 0 s1 = 15037400, s2 = 11223980, d1 = 161, d2 = 152 Dl.O(d1) = 212060121,212060120,266003589,266432237,236742191,237532522,238250096,238903218 Dl.O(d2) = 167614870,156005384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15037400, s2 = 11223980, dlinesl.size( ) = 50 s1 = 6052211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6052211, s2 = 9011276, int(edited[s2]) = 0 s1 = 6052211, s2 = 9011276, d1 = 1, d2 = 129 Dl.O(d1) = 240572618 Dl.O(d2) = 267630312,267620982,247009577,246955304,267597314,267569132,246489990,275042355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6052211, s2 = 9011276, dlinesl.size( ) = 90 s1 = 6031517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14806145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6059464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6059464, s2 = 11652546, int(edited[s2]) = 0 s1 = 6059464, s2 = 11652546, d1 = 7, d2 = 41 Dl.O(d1) = 240744885 Dl.O(d2) = 266712192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6059464, s2 = 11652546, dlinesl.size( ) = 22 s1 = 6100385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6100385, s2 = 9280921, int(edited[s2]) = 0 s1 = 6100385, s2 = 9280921, d1 = 30, d2 = 28 Dl.O(d1) = 241651567,241222499 Dl.O(d2) = 263325136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6100385, s2 = 9280921, dlinesl.size( ) = 40 s1 = 16028774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16333335, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7462138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7462138, s2 = 6585489, int(edited[s2]) = 0 s1 = 7462138, s2 = 6585489, d1 = 87, d2 = 107 Dl.O(d1) = 266890899 Dl.O(d2) = 67394023,254702646,44231821,39677705,31008615,30938783,23529751,23529748,30965551,30965549,39606184,44336610,44093704,44093699,34955158,34955160,44102109,44174345,43633621,34444341,34444346,34444720,26511942,26511945,34444733,43598620,34421314,26499000,19734681,19734685,26499014,34421349,43598699,54229629,66400100,66552760,54465890,43758148,43758149,54465895,66644250,66644251,55000133,256259364,43160211,256177524,26215534,256154804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7462138, s2 = 6585489, dlinesl.size( ) = 2 s1 = 7462138, s2 = 6585489, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7462138, Dl.E( ) = 110, 3.39e-05 seconds used appending s1 = 6113965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6113965, s2 = 9638359, int(edited[s2]) = 0 s1 = 6113965, s2 = 9638359, d1 = 12, d2 = 0 Dl.O(d1) = 241937292,274953750,240874403 Dl.O(d2) = 238658708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6113965, s2 = 9638359, dlinesl.size( ) = 18 s1 = 14152568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16277156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16277156, s2 = 6259467, int(edited[s2]) = 0 s1 = 16277156, s2 = 6259467, d1 = 20, d2 = 17 Dl.O(d1) = 96697382,96697383,110774730,124744126,138229661,151052462,163025186,173945617,183665815,192176778,199506745,205710297,210841704,215033452,218481534,221379165,223862058,226014511,227892094,229542352,231008202,232322028,266304333,235568208,236462391,237278744,236462388,236462389,237278746,238021783,238697869,239317961,239888722,240416007 Dl.O(d2) = 243728864,243728865,243979909,244213016,267416883,244994604,245160924,245316734,245316735,267433549,267457005,245238573,245238572,245238574,245316736,245160930,244994608,244994607,245077781,244905598,244905597,245077783,244905596,244722127,244722126,244525793,244315282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16277156, s2 = 6259467, dlinesl.size( ) = 8 s1 = 13927389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7447628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7447628, s2 = 11470924, int(edited[s2]) = 0 s1 = 7447628, s2 = 11470924, d1 = 115, d2 = 157 Dl.O(d1) = 266748250 Dl.O(d2) = 263025495,173517065,173517066,176344648,165677303,162478938,150345118,260988185,109380516,109380517,265332003,201967427,263618822,49904890,59504111,255555090,22286759,268402775,72239013,260594343,141014490,263065890,138994884,260630518,15023887,10351812,258009153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7447628, s2 = 11470924, dlinesl.size( ) = 40 s1 = 7477864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7477864, s2 = 7438881, int(edited[s2]) = 0 s1 = 7477864, s2 = 7438881, d1 = 46, d2 = 39 Dl.O(d1) = 267044828 Dl.O(d2) = 266662470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7477864, s2 = 7438881, dlinesl.size( ) = 54 s1 = 7457700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7457700, s2 = 15045831, int(edited[s2]) = 0 s1 = 7457700, s2 = 15045831, d1 = 15, d2 = 27 Dl.O(d1) = 266848046 Dl.O(d2) = 267435677,245617423,245480936,267466265,245632910,245497197,245497198,245632912,245497200,245352948,267419212,245632914,267451372,245497195,245352944,245199636,245199637,245352946,245497196,245632908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7457700, s2 = 15045831, dlinesl.size( ) = 2 s1 = 7457700, s2 = 15045831, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7457700, Dl.E( ) = 30, 8.11e-06 seconds used appending s1 = 13275197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15828663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15828663, s2 = 6093088, int(edited[s2]) = 0 s1 = 15828663, s2 = 6093088, d1 = 0, d2 = 0 Dl.O(d1) = 222133740,222133741,224533816,226618967,274516513,266123801,274667595,235866425,236733878,266670593,237524455,237524456,238242593,238896579,239497278,240051644,240565472,267006455,241042461,241484781,241894982,242273427,242624078,242950451,242950453,242950452,243254974,243492718,243204093,242896664,242566626,242212241,241828879,241413568,240965062,240480684,240480685,239958664,239395620,239395619,239958660,239395616,238785270,238121018,237391090,236588008,235707092,234738871,233676480,232508127,231215339,231215337,231215338,231215336,229773942,228150266,226300459,224175716,221725420,218870248,218870249,215489302,211397194,211397193,215489299,211397199 Dl.O(d2) = 222133740,222133741,224533816,226618967,274516513,266123801,274667595,235866425,236733878,266670593,237524455,237524456,238242593,238896579,239497278,240051644,240565472,267006455,241042461,241484781,241894982,242273427,242624078,242950451,242950453,242950452,243254974,243492718,243204093,242896664,242566626,242212241,241828879,241413568,240965062,240480684,240480685,239958664,239395620,239395619,239958660,239395616,238785270,238121018,237391090,236588008,235707092,234738871,233676480,232508127,231215339,231215337,231215338,231215336,229773942,228150266,226300459,224175716,221725420,218870248,218870249,215489302,211397194,211397193,215489299,211397199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15828663, s2 = 6093088, dlinesl.size( ) = 2 s1 = 15828663, s2 = 6093088, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15828663, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8949154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7465125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7465125, s2 = 10683099, int(edited[s2]) = 0 s1 = 7465125, s2 = 10683099, d1 = 35, d2 = 29 Dl.O(d1) = 266919235 Dl.O(d2) = 246475202,246553607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7465125, s2 = 10683099, dlinesl.size( ) = 14 s1 = 7465655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7465655, s2 = 10362241, int(edited[s2]) = 0 s1 = 7465655, s2 = 10362241, d1 = 18, d2 = 13 Dl.O(d1) = 266924473,241169356 Dl.O(d2) = 243867256,243867255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7465655, s2 = 10362241, dlinesl.size( ) = 2 s1 = 7465655, s2 = 10362241, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7465655, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 9629155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9629155, s2 = 5927343, int(edited[s2]) = 0 s1 = 9629155, s2 = 5927343, d1 = 151, d2 = 73 Dl.O(d1) = 237840841,238531539,266578836,240781534,241243942 Dl.O(d2) = 237725901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7467091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7467091, s2 = 7503465, int(edited[s2]) = 0 s1 = 7467091, s2 = 7503465, d1 = 66, d2 = 75 Dl.O(d1) = 266938787 Dl.O(d2) = 267291699,267309772 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 6063913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6085521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8949446, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15964795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15964795, s2 = 11545164, int(edited[s2]) = 0 s1 = 15964795, s2 = 11545164, d1 = 33, d2 = 51 Dl.O(d1) = 246351361 Dl.O(d2) = 230972556,265952522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15964795, s2 = 11545164, dlinesl.size( ) = 28 s1 = 7785721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7785721, s2 = 6020175, int(edited[s2]) = 0 s1 = 7785721, s2 = 6020175, d1 = 13, d2 = 2 Dl.O(d1) = 274906674 Dl.O(d2) = 239875569,239304240,266618926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7785721, s2 = 6020175, dlinesl.size( ) = 22 s1 = 6087220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6089084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6089084, s2 = 10375678, int(edited[s2]) = 0 s1 = 6089084, s2 = 10375678, d1 = 1, d2 = 32 Dl.O(d1) = 241407231 Dl.O(d2) = 267435396,245973701,245915927,267462428,245676067,245543238,245401812,245251983,245092435,244921879,244740141,244545515,244336305,244111508,243869975,243610532,243331509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6089084, s2 = 10375678, dlinesl.size( ) = 2 s1 = 6089084, s2 = 10375678, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6089084, Dl.E( ) = 34, 1.22e-05 seconds used appending s1 = 16258119, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6091198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6091198, s2 = 9842674, int(edited[s2]) = 0 s1 = 6091198, s2 = 9842674, d1 = 2, d2 = 17 Dl.O(d1) = 241448989 Dl.O(d2) = 274378544,224921691,222574678,219841804,216603642,212697486,207919058,202120802,195222170,187151931,177881261,167386510,155753796,143201333,129871796,115974088,101929516,87956657,74354315,61577523,50097543,40076707,31395388,23902108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6091198, s2 = 9842674, dlinesl.size( ) = 2 s1 = 6091198, s2 = 9842674, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6091198, Dl.E( ) = 28, 1.22e-05 seconds used appending s1 = 11594716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594716, s2 = 11463138, int(edited[s2]) = 0 s1 = 11594716, s2 = 11463138, d1 = 21, d2 = 9 Dl.O(d1) = 244268566,244040169,243794337,267075332,243244473,242939159,242611932,242260015,266837512 Dl.O(d2) = 265335474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594716, s2 = 11463138, dlinesl.size( ) = 8 s1 = 7474342, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7482372, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7452951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7452951, s2 = 11511766, int(edited[s2]) = 0 s1 = 7452951, s2 = 11511766, d1 = 82, d2 = 78 Dl.O(d1) = 266801287,266961065 Dl.O(d2) = 265524264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7452951, s2 = 11511766, dlinesl.size( ) = 42 s1 = 14155363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155363, s2 = 14151583, int(edited[s2]) = 0 s1 = 14155363, s2 = 14151583, d1 = 6, d2 = 6 Dl.O(d1) = 245020390,267364168,244460300,244283545,244055737,243810523,243546577,243262308,267155786,241905525,241496851,241055955,240580494,240067974,239514993,238916120,238264080,237547711,236758650,236758651,235892537,266321730,232755191,231489510,230077248,265704396,224595730,222201387,219412347,216110796 Dl.O(d2) = 245020390,267364168,244460300,244283545,244055737,243810523,243546577,243262308,267155786,241905525,241496851,241055955,240580494,240067974,239514993,238916120,238264080,237547711,236758650,236758651,235892537,266321730,232755191,231489510,230077248,265704396,224595730,222201387,219412347,216110796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155363, s2 = 14151583, dlinesl.size( ) = 2 s1 = 14155363, s2 = 14151583, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14155363, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13931787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8931743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8931743, s2 = 6904820, int(edited[s2]) = 0 s1 = 8931743, s2 = 6904820, d1 = 102, d2 = 62 Dl.O(d1) = 274675971,266690043,274853327 Dl.O(d2) = 259938292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8931743, s2 = 6904820, dlinesl.size( ) = 89 s1 = 9053981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9053981, s2 = 7410715, int(edited[s2]) = 0 s1 = 9053981, s2 = 7410715, d1 = 43, d2 = 50 Dl.O(d1) = 236963292,266690965,274820299 Dl.O(d2) = 266823616,239139310,238504527,274803878,237049094,236214431,235299147,266375802,265785615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9053981, s2 = 7410715, dlinesl.size( ) = 34 s1 = 16389493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7487783, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6102178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6102178, s2 = 13373774, int(edited[s2]) = 0 s1 = 6102178, s2 = 13373774, d1 = 30, d2 = 6 Dl.O(d1) = 241695512 Dl.O(d2) = 53009183,42569108,33552100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6102178, s2 = 13373774, dlinesl.size( ) = 2 s1 = 6102178, s2 = 13373774, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6102178, Dl.E( ) = 152, 6.01e-05 seconds used appending s1 = 15161175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6102922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6102922, s2 = 13931891, int(edited[s2]) = 0 s1 = 6102922, s2 = 13931891, d1 = 1, d2 = 10 Dl.O(d1) = 241711357 Dl.O(d2) = 242656867,242310005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6102922, s2 = 13931891, dlinesl.size( ) = 2 s1 = 6102922, s2 = 13931891, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6102922, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 16267381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7467811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7483972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7483972, s2 = 14155618, int(edited[s2]) = 0 s1 = 7483972, s2 = 14155618, d1 = 154, d2 = 142 Dl.O(d1) = 267104844 Dl.O(d2) = 245623567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7483972, s2 = 14155618, dlinesl.size( ) = 50 s1 = 6107782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6107782, s2 = 3820338, int(edited[s2]) = 0 s1 = 6107782, s2 = 3820338, d1 = 56, d2 = 124 Dl.O(d1) = 241816357 Dl.O(d2) = 260340083,260340081,260340085,262037875,271769936,92986189,259721785,92986187,78874637,65539486,258461517,92986186,78874654,78874653,92986200,92986187,259721781,107396576,121780916,135720974,148959730,161264652,166371270,154654623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6107782, s2 = 3820338, dlinesl.size( ) = 20 s1 = 7473192, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7498626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6129272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6129272, s2 = 14003748, int(edited[s2]) = 0 s1 = 6129272, s2 = 14003748, d1 = 19, d2 = 26 Dl.O(d1) = 242271865 Dl.O(d2) = 265384612,222126254,222126255,265193982,265193970,224526954,226612501,226612494,224526950,224526951,226612496,265193976,265193974,222126247,219330263,264752314,216020725,212025735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6129272, s2 = 14003748, dlinesl.size( ) = 2 s1 = 6129272, s2 = 14003748, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6129272, Dl.E( ) = 30, 8.82e-06 seconds used appending s1 = 7473987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6129828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6093934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6112625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6112625, s2 = 14868186, int(edited[s2]) = 0 s1 = 6112625, s2 = 14868186, d1 = 61, d2 = 11 Dl.O(d1) = 241908940 Dl.O(d2) = 79092419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6112625, s2 = 14868186, dlinesl.size( ) = 32 s1 = 14816172, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6132360, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6116203, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6179303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6179303, s2 = 11374104, int(edited[s2]) = 0 s1 = 6179303, s2 = 11374104, d1 = 107, d2 = 17 Dl.O(d1) = 243335275,267076092 Dl.O(d2) = 125537862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6179303, s2 = 11374104, dlinesl.size( ) = 24 s1 = 16261156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16261156, s2 = 14301253, int(edited[s2]) = 0 s1 = 16261156, s2 = 14301253, d1 = 7, d2 = 4 Dl.O(d1) = 246495104,246414181,246328329,246237011,246139738,246038038,245929727,245814724,245692814,245561882,245422171,245273956,267395820,244574803,244368167,244144907,243904821,243647317,243370668,243074993,242760241,242422187,242057825,242057824,241661797,241233099,240770190,240270268,239731531,266828746,238514985,237822723,237061613 Dl.O(d2) = 274683030,274617028,266170643,274617028,265936992,227399900,225435847,223176563,220562586,217489274,217489273,213804664,209314033,203838947,273638164,180693663,170562058,159223899,146850159,133592172,119717390,105478077,91255783,77336217,64189123,64189122,52338907,41999706,33056228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16261156, s2 = 14301253, dlinesl.size( ) = 2 s1 = 16261156, s2 = 14301253, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16261156, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 9667173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9667173, s2 = 7766037, int(edited[s2]) = 0 s1 = 9667173, s2 = 7766037, d1 = 14, d2 = 8 Dl.O(d1) = 267083583,242575721,267188255,243212799,243500682,243649717,243373112,243077537,242763054,267118472,267105555,242425294 Dl.O(d2) = 274627172,230650731,229134207,227417012,225453762,223195974,220584198,217512897,213830602,209342515,203871349,197316855,189631901,180737160,170608462,159273650,146903168,133650022,119780245,105547033,91329355,259285248,64261068,52405747,42061988,33113034,33113033,42061987,52405746,64261067,270511261,260268017,133650019,146903166,159273645,170608460,180737157,189631898,197316849,264355371,213830600,217512896,220584195,223195973,225453758,227417010,229134203,229840452,228223230,226381617,224267167,221829000,218986979,262256638,206559345,200524462,193376797,185047536,175508945,164757601,152927501,140237516,126889621,113036676,113036677,113036679,99048328,85123416,71552525,58824365,47437680,47437681,52348129,42008944,42008945,49441396,39510086,39510085,49441393,59807476,256961172,86141082,86141083,255100612,71552521,85123409,99048321,99048322,113036673,115294955,269348970,257071856,49441389,49441388,256961175,38514500,48421676,259399731,257541692,114141352,100107496,86141071,72542560,72542559,86141069,100107494,114141349,114141361,100107504,100107505,114141364,128030302,141398564,154072424,141398567,128030304,128030305,128030294,257541690,100107492,257541694,114141348,258150762,100107503,114141359,259399728,154072422,260618120,154072425,165841599,165841592,154072418,141398561,128030288,258774620,154072420,165841594,261742582,201190229,207119180,262256632,194148321,201190221,194148328,185926875,176496895,260017770,154072415,165841589,176496892,185926874,194148324,262733250,201256740,194220332,194220327,186005904,176583618,263175805,194220331,201256738,207179556,274102744,219315677,263560040,207119186,207119185,212009119,273723738,263566905,262740737,165936794,176583620,186005908,194220334,201256742,207179563,264773565,219359633,265397080,222152725,219359625,216054009,264229870,263919977,263919979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9667173, s2 = 7766037, dlinesl.size( ) = 12 s1 = 6119818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15039539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6139059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6141482, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11612244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15838955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14818263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8966102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16158035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7486600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7484163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6132153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6132153, s2 = 14156768, int(edited[s2]) = 0 s1 = 6132153, s2 = 14156768, d1 = 0, d2 = 55 Dl.O(d1) = 242327749 Dl.O(d2) = 246553460,246627720,267582465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6132153, s2 = 14156768, dlinesl.size( ) = 26 s1 = 15830711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8967309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6134808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6134808, s2 = 11467796, int(edited[s2]) = 0 s1 = 6134808, s2 = 11467796, d1 = 15, d2 = 2 Dl.O(d1) = 242393081 Dl.O(d2) = 215573229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6134808, s2 = 11467796, dlinesl.size( ) = 12 s1 = 6166188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7480046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7480046, s2 = 10551670, int(edited[s2]) = 0 s1 = 7480046, s2 = 10551670, d1 = 15, d2 = 33 Dl.O(d1) = 267065837 Dl.O(d2) = 267474613,245420277,245420275,245420274,245420272,245272201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 6136939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9651656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9729865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14212073, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7477134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6140632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6140632, s2 = 13911611, int(edited[s2]) = 0 s1 = 6140632, s2 = 13911611, d1 = 50, d2 = 33 Dl.O(d1) = 242525326,274900081,240910820,240422437,266945631,267077403,241781264,241781266,241781265,242167338 Dl.O(d2) = 238706905,266781581 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7478484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7478484, s2 = 6213643, int(edited[s2]) = 0 s1 = 7478484, s2 = 6213643, d1 = 12, d2 = 14 Dl.O(d1) = 267050945,242287764,242636995 Dl.O(d2) = 267303279,267303277,267278519,243549856,243549855,243813663,244058810,267230824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7478484, s2 = 6213643, dlinesl.size( ) = 20 s1 = 14826789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14826789, s2 = 7364831, int(edited[s2]) = 0 s1 = 14826789, s2 = 7364831, d1 = 22, d2 = 7 Dl.O(d1) = 244882421,267348039,244290069,244290070,244501319,244290068,244290067,244501319,244501320,244698373,244882414,244882426,244882417,244698375,244698362,244501314,244501313,244698365,244882406,244882430,244698386,244698385,244698358,267348033,244290064,244062564,243817733,243554487,243270950,242967578,242642558,267162898 Dl.O(d2) = 265880695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14826789, s2 = 7364831, dlinesl.size( ) = 14 s1 = 6148161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15043065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6164943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15816278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15816278, s2 = 13903150, int(edited[s2]) = 0 s1 = 15816278, s2 = 13903150, d1 = 29, d2 = 24 Dl.O(d1) = 15417619,21405116,25172094,18613532,13230787,9021766,5891360,5891359,9021765,13158142,8968766,8968764,12908778,8791039,5819416,5819421,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011555,8777841,8917524,13086199,18423408,254211544,32597285,41474299,51743039,63520818,76600303,90458735,104622859,104622860,118803747 Dl.O(d2) = 242009244,274892314,239666815,239079668,238440695,237740599,236969786,236124351,235196124,234176738,266366633,236124350,236969783,266691569,266619951,236969702,236124277,266366623,233055712,233055641,233055642,234176607,233055806,231815871,230436820,228885084,227123463,265770855,230436815,231815844,231815817,230436783,230436782,231815814,233055747,234176714,234176750,235196138,235196154,234176767,234176768,234176696,234176697,266458679,236124350,236969784,236969791,236969715,236124212,236124211,236124229,236124228,236124182,235195949,266266245,231815725,230436721,228885017,227123432,225104918,222782281,265618119,227123465,227123467,228885086,230436805,228885078,228885076,228885073,228885071,230436794,231815833,233055770,234176737,235196116,235196146,235196145,236124338,235196105,234176722,233055759,233055752,231815818,230436785,228885068,228885067,230436782,231815814,233055747,234176714,234176750,235196138,235195981,234176611,233055742,231815812,231815814,233055747,234176714,234176750,235196138,235196154,234176767,234176768,234176709,233055740,233055738,234176704,235196079,236124323,236969687,236969716,237740569,237740595,236969779,236969778,236124365,235196201,235196200,236124399,236969697,236124189,236124186,235196179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15816278, s2 = 13903150, dlinesl.size( ) = 2 s1 = 15816278, s2 = 13903150, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15816278, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 6166403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6166403, s2 = 7280241, int(edited[s2]) = 0 s1 = 6166403, s2 = 7280241, d1 = 45, d2 = 57 Dl.O(d1) = 243064389 Dl.O(d2) = 264921792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6166403, s2 = 7280241, dlinesl.size( ) = 34 s1 = 8976272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7506071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7506071, s2 = 7213943, int(edited[s2]) = 0 s1 = 7506071, s2 = 7213943, d1 = 42, d2 = 33 Dl.O(d1) = 267315148,267238458 Dl.O(d2) = 264103120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7506071, s2 = 7213943, dlinesl.size( ) = 50 s1 = 7491617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6169875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8968471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15226840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15226840, s2 = 7517367, int(edited[s2]) = 0 s1 = 15226840, s2 = 7517367, d1 = 63, d2 = 84 Dl.O(d1) = 267035217 Dl.O(d2) = 267416667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15226840, s2 = 7517367, dlinesl.size( ) = 80 s1 = 7495219, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7789039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7789039, s2 = 7462736, int(edited[s2]) = 0 s1 = 7789039, s2 = 7462736, d1 = 13, d2 = 0 Dl.O(d1) = 274950928,243175517 Dl.O(d2) = 241790807,242176404,267151218,241790809,241372659,240921361,266896472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7789039, s2 = 7462736, dlinesl.size( ) = 8 s1 = 7492607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7492607, s2 = 11559874, int(edited[s2]) = 0 s1 = 7492607, s2 = 11559874, d1 = 51, d2 = 39 Dl.O(d1) = 267189757 Dl.O(d2) = 266222214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7492607, s2 = 11559874, dlinesl.size( ) = 48 s1 = 8984382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15962535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15962535, s2 = 7495764, int(edited[s2]) = 0 s1 = 15962535, s2 = 7495764, d1 = 0, d2 = 43 Dl.O(d1) = 235765286 Dl.O(d2) = 267219701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15962535, s2 = 7495764, dlinesl.size( ) = 38 s1 = 7495763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7495763, s2 = 15962536, int(edited[s2]) = 0 s1 = 7495763, s2 = 15962536, d1 = 10, d2 = 1 Dl.O(d1) = 267219700 Dl.O(d2) = 235765287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7495763, s2 = 15962536, dlinesl.size( ) = 2 s1 = 7495763, s2 = 15962536, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7495763, Dl.E( ) = 24, 2.69e-05 seconds used appending s1 = 6160829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6160829, s2 = 14156039, int(edited[s2]) = 0 s1 = 6160829, s2 = 14156039, d1 = 0, d2 = 13 Dl.O(d1) = 242948608 Dl.O(d2) = 245883797,245883798,245994640,275045578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6160829, s2 = 14156039, dlinesl.size( ) = 2 s1 = 6160829, s2 = 14156039, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6160829, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 7785491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7785491, s2 = 11318136, int(edited[s2]) = 0 s1 = 7785491, s2 = 11318136, d1 = 72, d2 = 0 Dl.O(d1) = 274903536 Dl.O(d2) = 205584445,263806737,274038696,272094773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7785491, s2 = 11318136, dlinesl.size( ) = 44 s1 = 8965446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13903149, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7446670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7446670, s2 = 7541325, int(edited[s2]) = 0 s1 = 7446670, s2 = 7541325, d1 = 24, d2 = 32 Dl.O(d1) = 266739184,266859134 Dl.O(d2) = 267632986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7446670, s2 = 7541325, dlinesl.size( ) = 42 s1 = 6175816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6175816, s2 = 3479715, int(edited[s2]) = 0 s1 = 6175816, s2 = 3479715, d1 = 10, d2 = 24 Dl.O(d1) = 243264101 Dl.O(d2) = 228583892,265704654,222343200,219574034,216295197,212340337,207499684,201627385,194649300,263508690,166577946,166577945,166577944,154877129,142243565,128892438,114990715,100936721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6175816, s2 = 3479715, dlinesl.size( ) = 2 s1 = 6175816, s2 = 3479715, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6175816, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 7502218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7502218, s2 = 6711231, int(edited[s2]) = 0 s1 = 7502218, s2 = 6711231, d1 = 44, d2 = 52 Dl.O(d1) = 267279777 Dl.O(d2) = 257600341,39288892,255973813,23276847,17018540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7502218, s2 = 6711231, dlinesl.size( ) = 8 s1 = 6190018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6190018, s2 = 6095216, int(edited[s2]) = 0 s1 = 6190018, s2 = 6095216, d1 = 6, d2 = 2 Dl.O(d1) = 243563691,243281054 Dl.O(d2) = 241527932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6190018, s2 = 6095216, dlinesl.size( ) = 12 s1 = 5893023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8992526, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6179581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7487386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7487386, s2 = 11621506, int(edited[s2]) = 0 s1 = 7487386, s2 = 11621506, d1 = 40, d2 = 51 Dl.O(d1) = 267137457 Dl.O(d2) = 244648091,244448102,274966838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7487386, s2 = 11621506, dlinesl.size( ) = 2 s1 = 7487386, s2 = 11621506, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7487386, Dl.E( ) = 62, 2.29e-05 seconds used appending s1 = 11612368, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6179835, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7786663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7786663, s2 = 5971147, int(edited[s2]) = 0 s1 = 7786663, s2 = 5971147, d1 = 16, d2 = 30 Dl.O(d1) = 274919153 Dl.O(d2) = 245812582,245690186,245690187,245812584,245738185,245610543,245473395,245473396,245610544,245738186,245610543,245473395,245473396,245610544,245738186,245610543,267434818,245172482,245172483,245327563,245473397,245610546,245738190,245610549,245473400,245327565,245327564,245327566,245172485,245007187,244831143,244644306,244443908,244228792,267319795,243996481,243746983,243477967,243188687,242880284,242548752,242192947,241808211,266996002,266996000,240454525,240940889,240454531,239930184,266785810,238077781,237341097,237341096,238077779,266785809,239363396,238747859,238747860,239363398,239930177,240454521,266949141,240940890,266995991,240454522,240454523,240940887,240940892,240454530,266844668,239363401,239930181,240454527,266995993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7786663, s2 = 5971147, dlinesl.size( ) = 2 s1 = 7786663, s2 = 5971147, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7786663, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 16243725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7787572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7787572, s2 = 8897275, int(edited[s2]) = 0 s1 = 7787572, s2 = 8897275, d1 = 13, d2 = 0 Dl.O(d1) = 274931747 Dl.O(d2) = 233272955,266060631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7787572, s2 = 8897275, dlinesl.size( ) = 2 s1 = 7787572, s2 = 8897275, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7787572, Dl.E( ) = 26, 8.82e-06 seconds used appending s1 = 8979613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11615500, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15832739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8990266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8990266, s2 = 8990675, int(edited[s2]) = 0 s1 = 8990266, s2 = 8990675, d1 = 22, d2 = 13 Dl.O(d1) = 267165493,243292774 Dl.O(d2) = 267369873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8990266, s2 = 8990675, dlinesl.size( ) = 26 s1 = 11620640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6179806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6179806, s2 = 5797425, int(edited[s2]) = 0 s1 = 6179806, s2 = 5797425, d1 = 10, d2 = 1 Dl.O(d1) = 243349733,243452762,243160411,242848838,242514500 Dl.O(d2) = 239876369,239305131,238684345,238007350,266570895,235551367,234568850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6179806, s2 = 5797425, dlinesl.size( ) = 2 s1 = 6179806, s2 = 5797425, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6179806, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8971043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7480947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7480947, s2 = 9009816, int(edited[s2]) = 0 s1 = 7480947, s2 = 9009816, d1 = 39, d2 = 3 Dl.O(d1) = 267074560 Dl.O(d2) = 246900547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7480947, s2 = 9009816, dlinesl.size( ) = 2 s1 = 7480947, s2 = 9009816, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7480947, Dl.E( ) = 64, 2.38e-05 seconds used appending s1 = 7495373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15826113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7522862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11614366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7501982, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6188993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6201760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7502225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16252018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16252018, s2 = 6076199, int(edited[s2]) = 0 s1 = 16252018, s2 = 6076199, d1 = 72, d2 = 14 Dl.O(d1) = 218171831,221112993,223628732,225808227,227709196,227709222,225808265,274323443,221113044,223628724,221112987,218171825,214665970,210401055,205181515,198877126,198877127,205181518,210401059,214665979,218171838,221113000,223628739,274446687,229376810,229376783,227709155,225808178,225808177,227709153,229376780,229376775,265933662,223628735,225808228,223628743,265501007,227709201,227709171,225808259,225808208,265500997,223628675,225808166,227709135,229376769,229376809,229376810,229376783,227709155,225808178,223628687,221112965,221112967,223628691,223628774,223628771,265125909,214665999,210401072,210401069,264909401,221112963,221112960,223628686,225808176,227709151,229376778,227709170,225808193,223628702,223628703,223628698,223628696,223628697,225808188,227709167,229376789,230857966,229376796,227709177,227709176,227709192,229376806,265810997,225808210,223628759,221113017,218171852,218171851,265322231,221113020,265501009,265662659,265662661,225808268,223628781,265125911,218171876,221113046,223628780,265662647,225808197,223628707,223628677,223628678,225808167,227709138,229376771,227709136,265662663,225808263,265947075,227709187,225808214,225808213,227709186,229376790,229376791,230857949,266059958,265810987,230857951,232184283,233382290,234469325,235458522,266563609 Dl.O(d2) = 241107479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16252018, s2 = 6076199, dlinesl.size( ) = 2 s1 = 16252018, s2 = 6076199, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16252018, Dl.E( ) = 74, 1.88e-05 seconds used appending s1 = 7493454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7493454, s2 = 16126066, int(edited[s2]) = 0 s1 = 7493454, s2 = 16126066, d1 = 72, d2 = 99 Dl.O(d1) = 267197435 Dl.O(d2) = 265015002,265048563,219899929,265222100,219899866,222627088,265410560,265015000,265048561,222627154,219899945,264786670,212770421,216668431,265222106,216668409,216668406,219899933,222627163,224968928,227003156,224968910,222627139,219899915,216668388,212770390,208003590,202223416,202223417,208003592,264823037,265252439,265581952,265410542,219899871,264786660,208003559,265048559,265438403,274478355,266131672,265410556,274424273,227003161,224968916,224968915,265760649,227003173,265737670,266030553,265737658,222627143,222627144,224968915,265760649,227003173,224968951,222627182,265015012,212770427,264251394,178072175,187308903,195348672,273892805,216668448,265252451,224968962,227003177,265410566,265606921,228777644,228777623,265737664,274353376,265222110,264532846,202223424,264294939,212770409,265252443,265606913,265581942,222627096,219899875,216668341,216206437,212238912,264786662,202223393,202223390,202223389,208003554,212770338,216668332,219899865,222627087,224968874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7493454, s2 = 16126066, dlinesl.size( ) = 48 s1 = 6204435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10292482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8967042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8967042, s2 = 11639904, int(edited[s2]) = 0 s1 = 8967042, s2 = 11639904, d1 = 54, d2 = 75 Dl.O(d1) = 243044335,267095706,243619487 Dl.O(d2) = 247054512,247003465,246949437,246892090,246832038,246769747,267583309,267577054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8967042, s2 = 11639904, dlinesl.size( ) = 14 s1 = 14156251, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9643686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9643686, s2 = 9719170, int(edited[s2]) = 0 s1 = 9643686, s2 = 9719170, d1 = 3, d2 = 1 Dl.O(d1) = 217707903,220751043,223342018,225582327,227530960,229234837,230740838,232083021,233291664,234385762,235380829,236287913,237116640,237873113,238562097,239193945,239193946,239774091,240309607,240806387,241266812,241266813,241693162,242087033,242450312,267143299,243100750,243394686,243668748,243923540,244161391,244382858,244588572,244780367,244959536,245128165,245279561,245121453,244952599,244773345,244581709,274972803,243659064,243383232,243088459,242774731,242437562,242074540,241680356,241253686,240792801,240792800,240295827,239760231,239179686,238547256,237856860,237097659,236265904,235354486,234354921,233256411,266175989 Dl.O(d2) = 229186146,227475930,225520311,223272453,220672813,217617022,217617023,213955159,209493827,204056068,197538014,189883255,181005712,170886624,159558553,159558552,159558554,159558555,272379101,120134911,105922912,91715471,77787677,64604766,52704239,52704238,64604765,77787673,91715467,260286723,91715472,77787677,64604766,52704239,52704238,64604765,77787675,91715470,105922910,105922900,91715459,77787667,64604761,52704234,42316982,33336578,25577123,25577124,25577126,255269059,254654709,3796020,3796021,254654711,6971662,4450889,2673901,2673903,2621993,1513406,1513403,2621981,4377599,6968013,6958023,4371661,2618960,1511999,1511998,2618959,4371659,6958015,8104835,8104836,12054795,17151306,18937479,13501699,13501698,18937478,18961807,13526066,13526065,255672431,33331002,256762780,64598899,63586367,63586366,54645228,256394212,26639714,26639713,34192933,43290187,53815203,48081298,43290185,34192929,26320743,26320742,34192928,43290186,53815199,52755084,42355725,255282126,270003341,90484592,76625998,63545842,257161229,32614613,256607737,41494821,41494820,51766198,53230763,42779294,42779293,46468440,36601672,36601673,28127998,28127999,22931342,19828503,14204038,14204037,19828502,23469248,17188754,12086341,12086343,17188758,20158024,19827896,14203718,9764232,6419915,4027611,2413520,1397029,1397028,2413516,4027603,6419897,9764207,14203677,19827829,26639885,34629807,43902272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9643686, s2 = 9719170, dlinesl.size( ) = 2 s1 = 9643686, s2 = 9719170, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9643686, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 7494559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7494559, s2 = 8305046, int(edited[s2]) = 0 s1 = 7494559, s2 = 8305046, d1 = 36, d2 = 37 Dl.O(d1) = 267208177 Dl.O(d2) = 259631956,269977516,76605098,63525687,51748078,41478943,41478942,51748077,63525626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7494559, s2 = 8305046, dlinesl.size( ) = 14 s1 = 7495003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7495003, s2 = 7128847, int(edited[s2]) = 0 s1 = 7495003, s2 = 7128847, d1 = 30, d2 = 26 Dl.O(d1) = 267212343 Dl.O(d2) = 262957820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7495003, s2 = 7128847, dlinesl.size( ) = 2 s1 = 7495003, s2 = 7128847, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7495003, Dl.E( ) = 52, 7.32e-05 seconds used appending s1 = 8982396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8980183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11620760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15271661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14180516, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11627034, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7489954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7489954, s2 = 9055437, int(edited[s2]) = 0 s1 = 7489954, s2 = 9055437, d1 = 28, d2 = 33 Dl.O(d1) = 267163212 Dl.O(d2) = 243274214,243557524,267092196 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13933325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13933325, s2 = 11454346, int(edited[s2]) = 0 s1 = 13933325, s2 = 11454346, d1 = 42, d2 = 16 Dl.O(d1) = 242690543,243011559,267228937,243855950,244098905,244285291,244057516,243812339,243812338,267278358,244324739,267330121,244534609,244324743,244285291 Dl.O(d2) = 264244166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13933325, s2 = 11454346, dlinesl.size( ) = 14 s1 = 15152725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15152725, s2 = 14198798, int(edited[s2]) = 0 s1 = 15152725, s2 = 14198798, d1 = 54, d2 = 70 Dl.O(d1) = 244541299,244331666 Dl.O(d2) = 40520797,267840208,24307040,24307039,19132628,19132629,19483169,26165901,19465503,19465504,23167051,25990523,19319639,15597880,10790257,10790258,11950014,11950015,15249640,15249641,21218435,21392258,24019624,17670681,12495844,8464124,8464125,12495847,10350522,10350521,14563996,20295275,20340083,14927943,14927941,10350729,6815494,6815492,10350720,8393649,8393651,7125083,7125082,10266397,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723081,5953391,9099213,13318946,15596424,15596423,254709614,10309447,7535812,7535809,7535974,4767016,2873571,1667752,948672,948674,1667794,2873665,4767185,7536268,11340719,16299120,22467078,20349909,14606596,10050811,10050748,6604509,6602350,4136108,4136109,4359914,4359915,6938150,6759182,6759183,8335893,5380138,5380135,8335885,12338972,15591045,21621485,28896997,23154928,16893634,11821839,7900254,7900253,11821836,14609840,11539472,8518579,5516834,5516835,8518584,12563436,17755337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15152725, s2 = 14198798, dlinesl.size( ) = 22 s1 = 15798585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15798585, s2 = 5725495, int(edited[s2]) = 0 s1 = 15798585, s2 = 5725495, d1 = 101, d2 = 104 Dl.O(d1) = 272414051 Dl.O(d2) = 241044224,240567749,274864085,239501046,238901121,238247709,237529709,236738952,235871049,234918895,233873265,232725614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15798585, s2 = 5725495, dlinesl.size( ) = 10 s1 = 11621462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9729773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9729773, s2 = 7492498, int(edited[s2]) = 0 s1 = 9729773, s2 = 7492498, d1 = 22, d2 = 13 Dl.O(d1) = 239911875,266842598,240924630,240437199,266842602,241375716,241793730,242179438,242536655,242868961,243178067 Dl.O(d2) = 243772051,267188786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9729773, s2 = 7492498, dlinesl.size( ) = 14 s1 = 7498465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9741097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9741097, s2 = 13938325, int(edited[s2]) = 0 s1 = 9741097, s2 = 13938325, d1 = 21, d2 = 22 Dl.O(d1) = 242594518,267157723 Dl.O(d2) = 267220341,243781882,244028599,267364925,244467625,267364923,244467619,244254016,244024397,267248035,243225313,242919169,242590400,242237308,241855763,241442296 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6223110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7469184, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15840595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8956404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8956404, s2 = 7514550, int(edited[s2]) = 0 s1 = 8956404, s2 = 7514550, d1 = 35, d2 = 33 Dl.O(d1) = 266754728,242293991 Dl.O(d2) = 267391550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8956404, s2 = 7514550, dlinesl.size( ) = 54 s1 = 6225166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6226793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6226793, s2 = 10567572, int(edited[s2]) = 0 s1 = 6226793, s2 = 10567572, d1 = 60, d2 = 53 Dl.O(d1) = 244332010,244106565 Dl.O(d2) = 137503363,150533279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6226793, s2 = 10567572, dlinesl.size( ) = 2 s1 = 6226793, s2 = 10567572, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6226793, Dl.E( ) = 64, 1.81e-05 seconds used appending s1 = 8981652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155249, s2 = 10356790, int(edited[s2]) = 0 s1 = 14155249, s2 = 10356790, d1 = 20, d2 = 42 Dl.O(d1) = 245047050 Dl.O(d2) = 191395696,263409156,172492465,161292966,261516294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155249, s2 = 10356790, dlinesl.size( ) = 2 s1 = 14155249, s2 = 10356790, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14155249, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 9647756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6223392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13985259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11625354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7503122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7503122, s2 = 7532995, int(edited[s2]) = 0 s1 = 7503122, s2 = 7532995, d1 = 13, d2 = 18 Dl.O(d1) = 267288523 Dl.O(d2) = 267559856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7503122, s2 = 7532995, dlinesl.size( ) = 20 s1 = 7512290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15846490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15835081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7520796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7520796, s2 = 11551684, int(edited[s2]) = 0 s1 = 7520796, s2 = 11551684, d1 = 16, d2 = 15 Dl.O(d1) = 267447704,244466547 Dl.O(d2) = 274694705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7520796, s2 = 11551684, dlinesl.size( ) = 2 s1 = 7520796, s2 = 11551684, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7520796, Dl.E( ) = 40, 2.91e-05 seconds used appending s1 = 6234281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6234281, s2 = 6407611, int(edited[s2]) = 0 s1 = 6234281, s2 = 6407611, d1 = 0, d2 = 65 Dl.O(d1) = 244484450 Dl.O(d2) = 247854605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6234281, s2 = 6407611, dlinesl.size( ) = 14 s1 = 8993820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8993820, s2 = 14213525, int(edited[s2]) = 0 s1 = 8993820, s2 = 14213525, d1 = 54, d2 = 40 Dl.O(d1) = 245375510,245223121,245060685,244887443,244703848 Dl.O(d2) = 73362575,60617746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8993820, s2 = 14213525, dlinesl.size( ) = 12 s1 = 6246582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6246582, s2 = 2964323, int(edited[s2]) = 0 s1 = 6246582, s2 = 2964323, d1 = 39, d2 = 51 Dl.O(d1) = 244734105 Dl.O(d2) = 240181573,266760220,238406941,237704889,236932628,236084677,235152643,234128416,233002831,231758547,230373535,228814306,228814307,227044651,225016534,222681077,219961047,216738188,212849182,208092359,202322679,195458762,187433038,178210314,167759123,156158533,143624197,130296058,116458654,102365380,88368389,74739452,61944943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6246582, s2 = 2964323, dlinesl.size( ) = 30 s1 = 7505325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10294575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10294575, s2 = 11403194, int(edited[s2]) = 0 s1 = 10294575, s2 = 11403194, d1 = 21, d2 = 34 Dl.O(d1) = 236184474,274783085,239119799,239704894,267103295,267203945,267260521,244134356 Dl.O(d2) = 274904031,242644366,274915509,240089376,239538609,266742440,237579171,274727519,232799864,266011998,224662716,265223528,212249191,207395143,201508089,194513104,186346545,176978299,166386679,166386678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10294575, s2 = 11403194, dlinesl.size( ) = 26 s1 = 6248371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10295963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6242915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6242915, s2 = 8934715, int(edited[s2]) = 0 s1 = 6242915, s2 = 8934715, d1 = 100, d2 = 226 Dl.O(d1) = 244662126 Dl.O(d2) = 237372038,236566931,235683253,234711501,233645896,233645895,234711497,235683245,236566922,237372034,266619112,237372031,237372032,236566921,266581147,238103475,238769071,238769068,238103473,237372030,236566919,266365538,266156534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6242915, s2 = 8934715, dlinesl.size( ) = 50 s1 = 8992121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8992121, s2 = 7469365, int(edited[s2]) = 0 s1 = 8992121, s2 = 7469365, d1 = 23, d2 = 17 Dl.O(d1) = 245047416,244873141 Dl.O(d2) = 266960713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8992121, s2 = 7469365, dlinesl.size( ) = 26 s1 = 8978438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6245779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6245779, s2 = 6367791, int(edited[s2]) = 0 s1 = 6245779, s2 = 6367791, d1 = 1, d2 = 51 Dl.O(d1) = 244713620 Dl.O(d2) = 247095211,247137700,247176223,247212267,247246580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6245779, s2 = 6367791, dlinesl.size( ) = 40 s1 = 14826893, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6246365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7507845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7514551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7514551, s2 = 8956405, int(edited[s2]) = 0 s1 = 7514551, s2 = 8956405, d1 = 26, d2 = 28 Dl.O(d1) = 267391551 Dl.O(d2) = 239647765,266754729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7514551, s2 = 8956405, dlinesl.size( ) = 48 s1 = 6247688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626400, s2 = 10136590, int(edited[s2]) = 0 s1 = 11626400, s2 = 10136590, d1 = 27, d2 = 23 Dl.O(d1) = 267175506,243382622,243658743,243915192,244153917,244375885,244581581,244773235,267376630,245121362,245121361,245279490,245427531,267445962,245656341,245522064,245379027,245227034,245064814,244891670,244891669,244707926 Dl.O(d2) = 112109895,259270848,72048368,257409798,255376192,11104986,11104985,15996519,22107892,28232779,254489868,28222514,21308006,15338129,10593697,6988496,267822924,2631237,4391471,254718874,21087357,21087356,21035485,21035486,254328646,21126970,254222110,21126969,21087216,15147056,10446586,6886670,4323143,2598879,2598880,4334043,4334042,6902236,6904750,10471984,10483767,6911961,6911962,6901606,4336708,4332845,2593022,254077714,1499602,1499601,1499524,849880,480002,480003,849886,1496351,1496350,1496368,1496367,1499474,2595962,2594310,2594309,4334494,6902348,4334147,2594016,1496175,1496177,2594019,4334149,6902350,10462369,254096730,2595560,1497182,848367,848369,1497188,1730342,1730341,2980775,4335811,2595469,2595470,2630433,1518859,1518860,2630440,2630341,1518793,1518795,2630347,2595457,1497134,848343,479028,269585,269586,479034,848359,1497161,254118298,1730402,1730403,254369609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626400, s2 = 10136590, dlinesl.size( ) = 2 s1 = 11626400, s2 = 10136590, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11626400, Dl.E( ) = 38, 1.29e-05 seconds used appending s1 = 9649292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13940917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155234, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6260947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16043385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16043385, s2 = 6261009, int(edited[s2]) = 0 s1 = 16043385, s2 = 6261009, d1 = 53, d2 = 35 Dl.O(d1) = 10840710,7166648,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,10840886,7167157,4514104,4514103,7167156,254744461,2712258,1571185,1571186,2712260,4513792,7166628,10840677,15659748,21699682,21699683,28982016,28982143,21701262,15660857,10841381,10841382,15660863,15660894,15660893,18557745,13186434,13186433,18557740,21699910,28982199,28982198,28984780,21701893,15661363,10841706,10841704,15661357,21700101,15660018,10840838,7166713,4513841,2712284,2712285,4513844,7166720,10840847,12558955,17749815,21699855,21699854,28982224,28982035,21699703,21699701,15660032,15660031,21700122,28982557,37526505,47433634,37525942,28982025,28982024,37525940,47433632,58820249,61414567,49936471,49936470,61414476,49936324,39918426,39918425,49936266,61414444,65672206,59641689,48255079,256336180,22410031,22410033,29773672,38344824,48255087,39918569,31243019,31243018,39918567,48306421,49936346,39918429,39918427,49936342,49936508,59992634,53624271,53624268,65672225,61414666,49936573,39918743,39918742,49936618,39918716,39918717,49881444,48600769,38684677,38684676,48600767,48600748,38684661,38684660,48600745,49936221,39918313,39918314,49936225,257059763,39918778,257642273,74193405,87796777,85970598,72375885,61433486,61433487,72388280,61414393,59085146,59085147,61506996,50028773,50028776,59085238,54673344,54673343,59085335,71552397,58824219,58824218,59653939,48267114,48267115,59653942,54673341,43931005,34657884,29783704,29783705,38356224,268923598,66944559,66944561,80356113,66930001,66930002,74212475,257644161,257644163,55300874,44456363,39169701,30571520,23153901,23153902,29201790,37763252,38386212,47685327,47435786,47435787,47685302,37763136,29201721,21889138,21889137,29201741,37763169,47685340,47437355,257469877,258704203,258095473,59085303,71473509,71473508,71826166,258067330,42673972,257231197,60796646,49396040,255708546,23434130,23434131,30863648,39467600,49396044,60796648,65110686,78393684,85123182,85123183,257015428,47853021,37933103,29366578,22035916,15934238,15934239,22035923,15994663,15994664,22105792,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950570,30352290,23587677,23587680,31071187,32955794,31263864,23778557,23778558,28985421,28985420,28049154,20880755,14978565,10310932,10310931,14978560,20880745,28049135,36513345,46372200,57722535,58824493,47437808,37529804,28985399,28984997,28984996,29728875,29728874,37526539,28982599,21700163,21700164,26680571,19862608,19862607,26680569,21702119,21702117,21699717,21699718,15661463,10841771,10841770,15661460,21702022,28984951,29271394,29271396,36513440,36513441,28985566,26651231,19837700,14211550,9769826,6423592,6423591,9769825,11528508,15661469,21702040,22275161,255128656,15659804 Dl.O(d2) = 245023233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16043385, s2 = 6261009, dlinesl.size( ) = 2 s1 = 16043385, s2 = 6261009, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16043385, Dl.E( ) = 68, 1.69e-05 seconds used appending s1 = 16155414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6223238, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6213404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6213404, s2 = 6169848, int(edited[s2]) = 0 s1 = 6213404, s2 = 6169848, d1 = 7, d2 = 0 Dl.O(d1) = 244055346,267347277 Dl.O(d2) = 243148340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6213404, s2 = 6169848, dlinesl.size( ) = 22 s1 = 13940431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13940431, s2 = 5350572, int(edited[s2]) = 0 s1 = 13940431, s2 = 5350572, d1 = 8, d2 = 17 Dl.O(d1) = 244882333,244698292 Dl.O(d2) = 244501255,244290001,244290002,244501256,244698293,244882334,245055808,267423273,245227533,245065275,245065274,267440427,267470647,267497395,246112014,246210290,246302968,246390217,246472554,246550928,246625356,267582209,246760849,246739767,267572717,246527330,246448073,267538079,246180086,246080278,246080279,245974937,267480195,267451243,245334431,245180239,245015712,244840503,244654388,244454747,244240349,244008865,243760146,243491645,243203032,242895463,242565205,267119959,241827039,241411623,240963056,240478648,239956513,239393216,238782692,238118337,237388400,236585176,235703859,235703861,236585180,274770343,238782693,266991052,238118330,238782685,238118345,237388410,237388409,237388422,237388421,266715630,234734982,274628909,229769580,228145469,226294651,224168803,221717485,218861452,215479309,211386084,206377999,264430168,164454090,152599280,139890688,126526899,112663570,98668162,84739326,71169858,58447625,47070740,37177349,255833333,15424621,10663058,254689475,6514228,9911840 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6254149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11627390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155837, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9652947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7792171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8997814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8997814, s2 = 16155413, int(edited[s2]) = 0 s1 = 8997814, s2 = 16155413, d1 = 60, d2 = 2 Dl.O(d1) = 245693306,267452872,245498998,245354871,245201632 Dl.O(d2) = 234870286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8997814, s2 = 16155413, dlinesl.size( ) = 2 s1 = 8997814, s2 = 16155413, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8997814, Dl.E( ) = 62, 2.88e-05 seconds used appending s1 = 16333529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16333529, s2 = 7513131, int(edited[s2]) = 0 s1 = 16333529, s2 = 7513131, d1 = 15, d2 = 16 Dl.O(d1) = 267213563 Dl.O(d2) = 267378662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16333529, s2 = 7513131, dlinesl.size( ) = 2 s1 = 16333529, s2 = 7513131, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 16333529, Dl.E( ) = 30, 1.29e-05 seconds used appending s1 = 6270930, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6227153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6227153, s2 = 14156779, int(edited[s2]) = 0 s1 = 6227153, s2 = 14156779, d1 = 0, d2 = 21 Dl.O(d1) = 244339500,244548640,274991415 Dl.O(d2) = 245546715,245678836,245802014,245917698,246026144,246127892,246225062,246316443,246402642,246484077,267560515,246484078,246561731,246635446,246561729,275044797,246402640,267560513,246635444,246704711,246770177,246832496,246892552,246949865,247003859,247003858,246949876,246892560,246832500,246770181,246770180,246832499,246892557,246949869,247003867,267615071,246892575,246832506,246832505,246892573,267609161,247003877,246949881,246892563,246832502,267583375,246635448,246704716,267590349,246892565,246949883,247003881,246949893,246892578,246892579,246949884,247003873,247054834,247054833,247054843,267615067,247003865,246949868,246949867,246949891,246892575,246832506,246832505,246892573,267609161,247003877,246949881,267596735,246770185,246704718,246635451,246561732,246561731,246635446,246635445,246704712,246770178,267603189,267615063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6227153, s2 = 14156779, dlinesl.size( ) = 2 s1 = 6227153, s2 = 14156779, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6227153, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 15843039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7518716, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7513132, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15150736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15150736, s2 = 6284605, int(edited[s2]) = 0 s1 = 15150736, s2 = 6284605, d1 = 1, d2 = 4 Dl.O(d1) = 185291537 Dl.O(d2) = 265988229,232593532,233752782,234808149,235770325,236646080,237444539,266730325,238828780,239434898,239994748,240513899,240995838,241441876,241855315,242236902,242590033,242918857,243225043,243511484,243777509,267322597,244467437,244666923,244852829,275001682,245191881,245191880,245345632,245490664,245626901,245753423,245872113,245983688,246088427,246087319,245982378,245870611,245751575,245624595,245487971,245342770,275005429,244849973,244664242,244464914,244251363,244021618,243774837,243508498,243221817,242915340,242586177,242232629,241850647,267044100,240508744,239989481,239429387,238822915,266792336,237437722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15150736, s2 = 6284605, dlinesl.size( ) = 2 s1 = 15150736, s2 = 6284605, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15150736, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 16260969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6270457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6270457, s2 = 6107513, int(edited[s2]) = 0 s1 = 6270457, s2 = 6107513, d1 = 11, d2 = 6 Dl.O(d1) = 245210177,245363000,267367360,245328630,245173469,245008169,244832087,267338116,267338114,267292208,243748432,243748431,243479399,243190189,242881828,242881829,267216369,243748430,267292208,243748432 Dl.O(d2) = 243190190,242881828,242881829,242881827,267111214,241810356,267031682,240943694,240457794,266833954,238083113,237346978,266482332,234680626,233615263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6270457, s2 = 6107513, dlinesl.size( ) = 2 s1 = 6270457, s2 = 6107513, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6270457, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14831309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14831309, s2 = 7521640, int(edited[s2]) = 0 s1 = 14831309, s2 = 7521640, d1 = 1, d2 = 1 Dl.O(d1) = 266677449,266677447,238956389,239551879,240101601,240610900,240101629,239551902,238956409,238308565,238308566,266805849,240101631,274865285,267052707,274915697,267195665,243561816,243824523,244068727,244295696,244506463,267388285,245221593,267455375 Dl.O(d2) = 266677449,266677447,238956389,239551879,240101601,240610900,240101629,239551902,238956409,238308565,238308566,266805849,240101631,274865285,267052707,274915697,267195665,243561816,243824523,244068727,244295696,244506463,267388285,245221593,267455375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14831309, s2 = 7521640, dlinesl.size( ) = 2 s1 = 14831309, s2 = 7521640, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14831309, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14155824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155824, s2 = 15205672, int(edited[s2]) = 0 s1 = 14155824, s2 = 15205672, d1 = 33, d2 = 73 Dl.O(d1) = 245657618 Dl.O(d2) = 256792524,64789634,52870994,52870995,64789639,55065684,44234152,34879004,26822128,19956986,14289999,14290003,9830880,6458010,4047975,2423370,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423282,4041903,2421370,2421365,4041916,6445331,9807118,14271292,19925354,26775147,34815176,44153013,54971325,63189858,73925979,61152753,61152755,73925984,66696570,66052479,66052480,79429489,93567036,80037183,80037182,94121148,90496235,76638171,63556558,63556559,76638174,80835461,80804415,67336089,269265360,94750444,101448515,256775442,73870137,67364445,55032952,44241669,44241668,54896400,53303089,53303092,44143528,44141838,44141839,44142146,34806854,34806858,26769117,26769119,34806921,44143063,54959791,67285518,67537362,81007120,67537359,257354800,34965424,257300903,257343180,46247547,36403187,36403188,46247549,257991913,83780502,93614074,93614075,270207502,93975799,79886656,270617685,73825496,73825498,87438528,87303649,73683146,60925931,56283225,45247968,35704502,35704503,35704768,27489041,27489042,34769754,34769756,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815059,14285200,19740603,19740606,19915249,19915246,26504227,34431262,43615225,43799851,54526067,66770829,80197827,85228794,80151176,79959080,67003605,63687907,51887364,41592374,32692948,32692952,41592314,41592311,43983522,54732374,52278491,52278495,58260887,58260884,54891063,54891065,54876725,44074569,39653168,39637710,30985741,30985742,26738760,19902484,14256963,14256960,14291369,9817857,6450329,6450333,4047712,2423299,1401973,1401970,2423369,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815054,14285187,19740349,19740353,26510819,34442853,43611311,44246052,44246049,55079271,67411192,64215392,64215397,61102805,61102804,73873424,271744056,142715929,272971452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155824, s2 = 15205672, dlinesl.size( ) = 2 s1 = 14155824, s2 = 15205672, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14155824, Dl.E( ) = 76, 4.2e-05 seconds used appending s1 = 7515443, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6157623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16259159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6284848, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7519638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6285743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11630386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16235615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16235615, s2 = 12828235, int(edited[s2]) = 0 s1 = 16235615, s2 = 12828235, d1 = 135, d2 = 137 Dl.O(d1) = 219412888,222201929,224596286,265732487,230077747,231489964 Dl.O(d2) = 242782889,242445807,242082753,241688867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16235615, s2 = 12828235, dlinesl.size( ) = 78 s1 = 15044393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7517605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7517605, s2 = 6361881, int(edited[s2]) = 0 s1 = 7517605, s2 = 6361881, d1 = 54, d2 = 30 Dl.O(d1) = 267418679 Dl.O(d2) = 246982606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7517605, s2 = 6361881, dlinesl.size( ) = 2 s1 = 7517605, s2 = 6361881, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7517605, Dl.E( ) = 74, 1.81e-05 seconds used appending s1 = 14155617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13946085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6297443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6297443, s2 = 7167625, int(edited[s2]) = 0 s1 = 6297443, s2 = 7167625, d1 = 29, d2 = 30 Dl.O(d1) = 245743233 Dl.O(d2) = 263497072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6297443, s2 = 7167625, dlinesl.size( ) = 2 s1 = 6297443, s2 = 7167625, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6297443, Dl.E( ) = 54, 2e-05 seconds used appending s1 = 9650234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14843764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16400723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13947557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6302363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7516076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7522094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7522094, s2 = 3545861, int(edited[s2]) = 0 s1 = 7522094, s2 = 3545861, d1 = 99, d2 = 91 Dl.O(d1) = 267459827 Dl.O(d2) = 255242337,18539583,256103157,41697428,52009187,63825130,76932890,90809145,104986967,119181913,133016853,143165240,129833639,115933951,101887620,87913199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7522094, s2 = 3545861, dlinesl.size( ) = 46 s1 = 6301706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6301706, s2 = 11639614, int(edited[s2]) = 0 s1 = 6301706, s2 = 11639614, d1 = 0, d2 = 11 Dl.O(d1) = 245822406 Dl.O(d2) = 246719090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6301706, s2 = 11639614, dlinesl.size( ) = 2 s1 = 6301706, s2 = 11639614, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6301706, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 11636096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6303510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7521752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6304845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6304845, s2 = 15737328, int(edited[s2]) = 0 s1 = 6304845, s2 = 15737328, d1 = 53, d2 = 87 Dl.O(d1) = 245883885 Dl.O(d2) = 33216968,25470214,18870024,14191727,14191728,14191714,14191715,19812715,19077646,13620091,13620089,19077640,25704183,25769488,19129632,13658825,13658827,19129637,24133264,17769635,17769639,21991412,20911100,20911096,21118068,26627530,29753220,26627504,26627506,34617106,40354870,37346343,28808124,28808126,37346348,33864232,33864231,42909762,52071791,47255733,37346282,28808061,21540822,15524645,15524646,21540824,28808064,29442043,28328286,21117987,15171316,15171315,21117984,16834940,255515253,28837990,21566332,15544085,10750367,7102541,4471792,2686669,1556298,884795,884798,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556471,11374293,16346556,16349205,14485084,14485082,254521216,21567576,21567045,254834828,11657708,11657709,16696986,21978890,16681728,11644271,7757582,4913005,4913007,7757585,11372107,11372977,7555566,7103044,7103043,7769195,7769193,11657758,11657807,11657809,11374525,7769252,4922628,4922626,5296963,5296976,5296973,8226527,7557864,7557862,9972131,6553908,6553909,9972137,14493153,17293898,12172775,12172776,17293901,23606760,254583064,5276546,3230671,3230669,5276539,8205262,12172978,15154859,15154861,254554276,29307770,29307771,29884649,22530352,20127792,14435896,9930228,6526172,4088948,4088946,6526045,4088883,4088887,6526059,9927674,14432374,20124106,254395532,17258689,17258681,17258682,23569901,29307815,29307814,29871938,254839168,17332406,14432459,14432458,16329378,11360651,7547785,4773530,4773534,6525539,4088612,2445994,2445993,4088607,267798426,11368638,16339412,21093728,15151607,15151608,21093730,21601003,21601002,28876154,22513121,22512859,16339144,16339143,12138622,12138624,17258475,12155817,12155818,11282799,11282798,16230129,12212325,8243058,8243059,12212326,17338257,254393902,11361191,16329981,17514187,267907924,14435561,14435562,254532522,35103690,28294747,267790692,254532520,15157396,16327426,11359205,7546893,4773045,4773048,7546903,11359217,16327455,22489551,16316615,16316616,22489553,22471692,22471693,22482712,16311204,16311205,16307753,11346486,11346487,16307758,19173395,13691762,13691761,19173392,25824608,22498215,22498214,22474997,16304901,11344626,11344625,16304897,16310661,16310711,16310713,16310727,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091406,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,23586090,254832512,255469548,22776865,16561728,16561727,22776864,255443040,46670077,36783650,29840507,29840506,28315195,254559214,22529906,254807140,23008627,23008626,254260996,23585860,17273537,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,15924438,22025508,29356069,37922583,29876369,22972984,22972985,23363440,17094415,17094414,17238419,17238420,15922647,15922649,22023648,254520254,11468192,11468193,16459235,22650640,21296545,15329463,15329464,18663966,22023243,21296386,15329347,15329348,21296389,16459378,16459379,22515508,22515507,22525993,20303410,14570593,10026405,10026404,14570591,10026446,10026449,14570667,20303481,22798687,22798686,30188352,255443162,29884179,38426216,39731977,31053657,267906196,16346677,11374397,11374398,16346679,22520014,16357205,16357204,17294499,12173311,12173145,254180328,5277195,5277194,8206400,12174658,17296037,22007820,29339264,37908126,31052268,23568118,254582744,12136619,17256612,17256611,12173553,12173554,17294772,23607436,23650614,17333551,16357905,16357906,16330662,11361689,7548468,4773887,4773888,7548475,11361695,16330670,22504665,23607808,17295230,12173949,12173951,11363778,8205952,8205953,12174002,17289480,23602190,31086370,29874034,22516436,16342969,16342971,254582390,10446953,15147516,17284423,254584022,31090808,23606468,17293551,17293552,20127845,14435943,9930260,6526197,6526199,9930263,7552814,4776276,3266221,3266220,5317289,7491163,4734731,254532273,254390900,17337141,22503649,29865048,31351069,31351070,29848267,29848268,22512363,20124862,14433094,14433092,16235333,11287400,11287403,12146362,10750973,7548997,4774161,2877557,2877554,4774144,7548955,11362437,13330395,17513064,17512933,17307019,12184058,8215187,5285694,3237975,3237977,5285697,8215204,8249041,8242983,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,7540242,11347265,16308986,22480020,22484269,17089825,12002114,8055393,5146175,5146176,8055399,12002123,17089844,18453318,24973533,22512083,17343250,12216759,11312815,11312816,12005459,12005460,13345451,18745590,23621690,22479335,16308424,11346921,11346922,16308431,14222459,14222460,19851893,17096171,12009436,12009438,8243855,8243853,12213363,17339521,23656321,31143423,39825832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6304845, s2 = 15737328, dlinesl.size( ) = 32 s1 = 11633598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9653153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9653153, s2 = 9684252, int(edited[s2]) = 0 s1 = 9653153, s2 = 9684252, d1 = 84, d2 = 47 Dl.O(d1) = 243595404,243856720,244099701,244325611,244535606,244731127,244913595,244913594,244913593,245084694,245244592,245394616,245536185 Dl.O(d2) = 256512834,255557370,20153415,20153417,18474120,18168284,14458200,9947016,8718606,5675077,5675079,6537003,5675002,3529697,3529703,5674933,8718294,5840626,3644846,3644848,5840629,8948093,13129081,18074921,18074920,24503143,257123903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9653153, s2 = 9684252, dlinesl.size( ) = 2 s1 = 9653153, s2 = 9684252, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9653153, Dl.E( ) = 90, 2.6e-05 seconds used appending s1 = 11634400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7521639, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7522213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6309612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7528491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7528491, s2 = 8969771, int(edited[s2]) = 0 s1 = 7528491, s2 = 8969771, d1 = 42, d2 = 50 Dl.O(d1) = 267520021 Dl.O(d2) = 241065920,267051309,242291195,242640128,242291196,242291195,242640127,242965155,242640124,242291192,241914398,274878861,240591460,240080210,239528511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7528491, s2 = 8969771, dlinesl.size( ) = 24 s1 = 6316813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6316813, s2 = 12018888, int(edited[s2]) = 0 s1 = 6316813, s2 = 12018888, d1 = 20, d2 = 2 Dl.O(d1) = 246109095 Dl.O(d2) = 245776913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6316813, s2 = 12018888, dlinesl.size( ) = 22 s1 = 6312052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6312052, s2 = 14816632, int(edited[s2]) = 0 s1 = 6312052, s2 = 14816632, d1 = 13, d2 = 33 Dl.O(d1) = 246019143 Dl.O(d2) = 267316764,244164328,243927220,243673480,243673481,243673484,243673485,243673476,243673477,267180906,243106937,243106938,243106939,242793856,242456790,242456791,242456796,242093293,242093292,242456794,242793864,243106937,243106938,267147948,242456795,242093293,241699521,241273182,266942112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6312052, s2 = 14816632, dlinesl.size( ) = 2 s1 = 6312052, s2 = 14816632, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6312052, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 7530182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7795987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6320984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6320984, s2 = 14731950, int(edited[s2]) = 0 s1 = 6320984, s2 = 14731950, d1 = 33, d2 = 43 Dl.O(d1) = 246187643 Dl.O(d2) = 211651970,206694114,200693391,193580938,185282490,263181504,165038171,153219609,140537724,140537725,153219611,165038179,175770141,185282502,193580990,200693421,193580983,185282496,175770136,165038176,165038178,175770139,185282500,263572554,175770073,175770072,185282406,175770063,165038095,153219540,153219541,153219567,153219568,165038138,165038057,165038056,153219551,262205007,153219528,262205003,175770042,185282376,175770041,165038077,153219527,262205001,165038223,153219645,140537751,127191768,113333182,99330743,99330745,113333184,127191769,113333190,113333191,127191776,140537695,153219560,165038082,153219530,153219529,165038080,165038116,175770083,175770131,165038170,153219609,140537724,140537725,153219611,165038179,175770141,185282502,193580990,200693421,193580983,185282496,175770136,175770135,185282494,193580953,185282453,175770100,175770099,185282449,193580946,200693375,200693376,264486161,264240216,200693411,200693506,193581048,185282534,262747096,153219624,140537732,127191758,113333178,99330742,99330745,113333184,127191769,113333190,113333191,127191776,140537695,153219560,165038132,175770044,185282383,193580900,200693364,206694096,211651964,206694133,206694132,211651973,206694120,200693403,264199611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6320984, s2 = 14731950, dlinesl.size( ) = 2 s1 = 6320984, s2 = 14731950, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6320984, Dl.E( ) = 50, 1.1e-05 seconds used appending s1 = 6323739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6323739, s2 = 14165351, int(edited[s2]) = 0 s1 = 6323739, s2 = 14165351, d1 = 39, d2 = 50 Dl.O(d1) = 246239667 Dl.O(d2) = 105168135,105168134,90977754,90977753,105168133,119370972,133209909,146442308,158811262,158811261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6323739, s2 = 14165351, dlinesl.size( ) = 2 s1 = 6323739, s2 = 14165351, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6323739, Dl.E( ) = 80, 2.69e-05 seconds used appending s1 = 6337711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6337711, s2 = 6308181, int(edited[s2]) = 0 s1 = 6337711, s2 = 6308181, d1 = 19, d2 = 6 Dl.O(d1) = 246507614,267545242,246155304,267525439 Dl.O(d2) = 245947714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6337711, s2 = 6308181, dlinesl.size( ) = 20 s1 = 7530343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7527040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7527040, s2 = 10543755, int(edited[s2]) = 0 s1 = 7527040, s2 = 10543755, d1 = 56, d2 = 0 Dl.O(d1) = 267506517 Dl.O(d2) = 240173202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7527040, s2 = 10543755, dlinesl.size( ) = 28 s1 = 7530080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7531254, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7531254, s2 = 7713938, int(edited[s2]) = 0 s1 = 7531254, s2 = 7713938, d1 = 60, d2 = 63 Dl.O(d1) = 267544400 Dl.O(d2) = 273480317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7531254, s2 = 7713938, dlinesl.size( ) = 22 s1 = 6328855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7796288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6325317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7529718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6325886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6325886, s2 = 6349878, int(edited[s2]) = 0 s1 = 6325886, s2 = 6349878, d1 = 0, d2 = 14 Dl.O(d1) = 246281432,246370071,246453872 Dl.O(d2) = 246744486,267582984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6325886, s2 = 6349878, dlinesl.size( ) = 2 s1 = 6325886, s2 = 6349878, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6325886, Dl.E( ) = 18, 6.2e-06 seconds used appending s1 = 6326320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7531188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6331931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6331931, s2 = 5937346, int(edited[s2]) = 0 s1 = 6331931, s2 = 5937346, d1 = 48, d2 = 65 Dl.O(d1) = 246394252 Dl.O(d2) = 274808950,239271523,238646967,238646965,238646966,239271521,239271524,238646969,237964881,237215343,236393336,235493330,235493329,234506950,233423959,232231231,230909674,229434666,227773817,225881403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6331931, s2 = 5937346, dlinesl.size( ) = 2 s1 = 6331931, s2 = 5937346, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6331931, Dl.E( ) = 66, 1.72e-05 seconds used appending s1 = 14835099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14835099, s2 = 7308467, int(edited[s2]) = 0 s1 = 14835099, s2 = 7308467, d1 = 47, d2 = 68 Dl.O(d1) = 267608361 Dl.O(d2) = 266610640,238358428,237653235,236876863,236022851,274565944,234049943,235083151,234049941,232915598,231663040,230269539,230269540,231663041,232915600,234049945,266023862,266023864,231663040,230269539,265242752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14835099, s2 = 7308467, dlinesl.size( ) = 2 s1 = 14835099, s2 = 7308467, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14835099, Dl.E( ) = 70, 3.39e-05 seconds used appending s1 = 7534098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6342087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6342087, s2 = 10775711, int(edited[s2]) = 0 s1 = 6342087, s2 = 10775711, d1 = 48, d2 = 0 Dl.O(d1) = 246593645 Dl.O(d2) = 215062585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6342087, s2 = 10775711, dlinesl.size( ) = 56 s1 = 9010107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9010107, s2 = 11618286, int(edited[s2]) = 0 s1 = 9010107, s2 = 11618286, d1 = 49, d2 = 42 Dl.O(d1) = 267635188,246925240,246866720,275048144 Dl.O(d2) = 267266028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9010107, s2 = 11618286, dlinesl.size( ) = 28 s1 = 14156524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156524, s2 = 10907236, int(edited[s2]) = 0 s1 = 14156524, s2 = 10907236, d1 = 84, d2 = 99 Dl.O(d1) = 267223421,267386967,267422575,275015649,246380914,246463971,246542892,275064776 Dl.O(d2) = 219585015,216308153,216308152,216308144,212355152,273856714,216308159,212355164,207515818,201644179,262680296,273109416,263516916,212355156,216308147,264741064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 15964291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7534966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7532996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7532996, s2 = 7503121, int(edited[s2]) = 0 s1 = 7532996, s2 = 7503121, d1 = 42, d2 = 32 Dl.O(d1) = 267559857 Dl.O(d2) = 267288522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7532996, s2 = 7503121, dlinesl.size( ) = 26 s1 = 6345237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6345237, s2 = 11645012, int(edited[s2]) = 0 s1 = 6345237, s2 = 11645012, d1 = 1, d2 = 59 Dl.O(d1) = 246655294 Dl.O(d2) = 247833910,267699712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6345237, s2 = 11645012, dlinesl.size( ) = 14 s1 = 15222688, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7488186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7488186, s2 = 15966789, int(edited[s2]) = 0 s1 = 7488186, s2 = 15966789, d1 = 41, d2 = 52 Dl.O(d1) = 267146144,274964991,274980714,245277457,275036469,246715356 Dl.O(d2) = 267659919,267654329,247310704,275071587,247096646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7488186, s2 = 15966789, dlinesl.size( ) = 56 s1 = 14156700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639056, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14215977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16263596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7538809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7538809, s2 = 5214116, int(edited[s2]) = 0 s1 = 7538809, s2 = 5214116, d1 = 109, d2 = 6 Dl.O(d1) = 267610380 Dl.O(d2) = 216516732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7538809, s2 = 5214116, dlinesl.size( ) = 2 s1 = 7538809, s2 = 5214116, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7538809, Dl.E( ) = 152, 4.1e-05 seconds used appending s1 = 10297537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9009817, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6359625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9057431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9057431, s2 = 6255055, int(edited[s2]) = 0 s1 = 9057431, s2 = 6255055, d1 = 47, d2 = 50 Dl.O(d1) = 246472527,267575105,267595619 Dl.O(d2) = 267608340,267595862,267582460,246627706,267559482,246392800,246305666,246213211,246115035,246012383,267485144,245785735,245785736,267424840,245384513,245232932,245071036,244898350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9057431, s2 = 6255055, dlinesl.size( ) = 2 s1 = 9057431, s2 = 6255055, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9057431, Dl.E( ) = 60, 1.5e-05 seconds used appending s1 = 7534994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11636342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7538158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6363709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7536805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7793948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6364684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6368797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6368797, s2 = 7538872, int(edited[s2]) = 0 s1 = 6368797, s2 = 7538872, d1 = 3, d2 = 25 Dl.O(d1) = 247115698 Dl.O(d2) = 267610841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6368797, s2 = 7538872, dlinesl.size( ) = 42 s1 = 9013800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9013800, s2 = 8810160, int(edited[s2]) = 0 s1 = 9013800, s2 = 8810160, d1 = 85, d2 = 0 Dl.O(d1) = 267647752,247279004,267637108 Dl.O(d2) = 230125982,230125981,274601195,266343717,274639650,274519287,219499115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9013800, s2 = 8810160, dlinesl.size( ) = 70 s1 = 11638090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6371357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6369569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6369628, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7541326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7541326, s2 = 7458846, int(edited[s2]) = 0 s1 = 7541326, s2 = 7458846, d1 = 34, d2 = 25 Dl.O(d1) = 267632987 Dl.O(d2) = 266859135,266739185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7541326, s2 = 7458846, dlinesl.size( ) = 38 s1 = 6371628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15853317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15853317, s2 = 7544627, int(edited[s2]) = 0 s1 = 15853317, s2 = 7544627, d1 = 23, d2 = 147 Dl.O(d1) = 246992847,247044217,246992846,246937988 Dl.O(d2) = 247641752,247663336,247641753,247620209,247599514,275079742,247541315,247522246,267657568,247481450,247481449,267660308,247541312,247560152,247560916,247542092,247523082,247503135,247482172,247460236,247437172,247413063,247388536,247363231,247336874,247308437,247277507,247244543,267643354,247174185,247135468,247092747,247045534,267612056 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6374411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6374411, s2 = 6393464, int(edited[s2]) = 0 s1 = 6374411, s2 = 6393464, d1 = 5, d2 = 28 Dl.O(d1) = 247216745 Dl.O(d2) = 247545605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6374411, s2 = 6393464, dlinesl.size( ) = 2 s1 = 6374411, s2 = 6393464, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6374411, Dl.E( ) = 42, 8.82e-06 seconds used appending s1 = 9014738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10297321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7799556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7799556, s2 = 6262451, int(edited[s2]) = 0 s1 = 7799556, s2 = 6262451, d1 = 34, d2 = 30 Dl.O(d1) = 275074449,267640088,267632322,247034538,267612442 Dl.O(d2) = 274988982,245050449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7799556, s2 = 6262451, dlinesl.size( ) = 2 s1 = 7799556, s2 = 6262451, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7799556, Dl.E( ) = 36, 1.19e-05 seconds used appending s1 = 6380592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7543995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9013069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6383246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7543239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7543239, s2 = 6394486, int(edited[s2]) = 0 s1 = 7543239, s2 = 6394486, d1 = 25, d2 = 20 Dl.O(d1) = 267648851 Dl.O(d2) = 247564824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7543239, s2 = 6394486, dlinesl.size( ) = 34 s1 = 9014962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6387270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6389057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6391310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7545443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6395963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6396064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10362755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7547049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7547407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6397821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6397821, s2 = 7543238, int(edited[s2]) = 0 s1 = 6397821, s2 = 7543238, d1 = 28, d2 = 29 Dl.O(d1) = 247646718 Dl.O(d2) = 267648850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6397821, s2 = 7543238, dlinesl.size( ) = 42 s1 = 7546881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6398258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6402208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6402208, s2 = 6411458, int(edited[s2]) = 0 s1 = 6402208, s2 = 6411458, d1 = 0, d2 = 27 Dl.O(d1) = 247756465,247765973 Dl.O(d2) = 247925776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6402208, s2 = 6411458, dlinesl.size( ) = 28 s1 = 6401319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6403081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7548513, s2 = 6246801, int(edited[s2]) = 0 s1 = 7548513, s2 = 6246801, d1 = 74, d2 = 82 Dl.O(d1) = 267692210 Dl.O(d2) = 244920725,244738959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7548513, s2 = 6246801, dlinesl.size( ) = 66 s1 = 7548855, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6405107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7548829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7548829, s2 = 5082655, int(edited[s2]) = 0 s1 = 7548829, s2 = 5082655, d1 = 87, d2 = 102 Dl.O(d1) = 267694740 Dl.O(d2) = 211320684,211320683,211334264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7548829, s2 = 5082655, dlinesl.size( ) = 70 s1 = 6405877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6406466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7549815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13958959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13958959, s2 = 11643704, int(edited[s2]) = 0 s1 = 13958959, s2 = 11643704, d1 = 37, d2 = 46 Dl.O(d1) = 247883985,267706935 Dl.O(d2) = 267683017,267686069,247720682,247734391,247746450,267691195,247746454,247734393,247720685,267686066,247665905,247644658,247623201,267678156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13958959, s2 = 11643704, dlinesl.size( ) = 36 s1 = 14157558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9019154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9019154, s2 = 6402343, int(edited[s2]) = 0 s1 = 9019154, s2 = 6402343, d1 = 66, d2 = 64 Dl.O(d1) = 247935587,247933521,247931329 Dl.O(d2) = 247768019,247758566,247747703,247747704,247747707,247758571,247768030,247768052,247776534,247776519,247767991,247758531,247747672,247735539,247721798,247721797,247735536,247721852,247705698,247687330,247687331,247705701,247705706,247721860,247735631,247735590,267691353,247747694,247735560,247721812,247705674,247687312,247667006,247645931,247645932,247667008,247666995,247666997,247687297,247687304,247667002,247667003,247687307,247705672,247721809,247735552,247747682,267691347,247768004,247758544,267692425,247776528,247784439,247784437,247776521,247767992,267691351,247735585,247721862,275087980,247667016,247687333,247705705,247721857,247735627,247747768,247758616,247768006,247768021,247768022,247768037,247758580,247758579,247768033,247758583,247747718,247735579,247735578,247735545,247721804,247705666,247687299,247666999,247666998,267687703,247735542,247735555,247747688,267692425,247776528,247784439,247784437,247776521,247767992,267691351,247735585,267687711,247705685,247721830,247735587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9019154, s2 = 6402343, dlinesl.size( ) = 8 s1 = 6412694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7551082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7551082, s2 = 7546903, int(edited[s2]) = 0 s1 = 7551082, s2 = 7546903, d1 = 58, d2 = 59 Dl.O(d1) = 267714309 Dl.O(d2) = 247681949,247681948,267682517,267679299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7551082, s2 = 7546903, dlinesl.size( ) = 14 s1 = 15856951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15856951, s2 = 10643223, int(edited[s2]) = 0 s1 = 15856951, s2 = 10643223, d1 = 54, d2 = 38 Dl.O(d1) = 247979198,267718278,247978689,247978346,247977986,247977985,247978345,247978344,247978345,275098038,247977642,267718036,247977642,275098008,247976597,247976209,275097924,247974151,247973615,247973136,247973135,247973134,247973133,247973136,247972752,247972419,267717414,247971869,267717304,247971370,247971084,247970821,247970520,247970244,247969916,247969552 Dl.O(d2) = 247942660,247941254,247939665,275096258,247933923,247933922,267711972,247933924,247933923,247931740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15856951, s2 = 10643223, dlinesl.size( ) = 16 s1 = 9807848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14893118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14893118, s2 = 9807849, int(edited[s2]) = 0 s1 = 14893118, s2 = 9807849, d1 = 0, d2 = 0 Dl.O(d1) = 5272743,3227067,1892045,1079695,1079693,1892040,3227059,5272730,8201812,12169841,17290978,255997753,30725592,23307791,17046356,17046357,16187758,11252239,11252238,268077052,18932680,13497265,9234228,9234227,13497263,15985975,20045332,14360005,9867297,9867296,14360002,20045325,26931150,30916385,38252838,29687693,26933516,26933517,26926349,20040926,20040925,26926347,254507160,17196698,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,6483488,9869671,14362955,14373404,10912882,7217224,7217221,10912873,15757760,20067150,21779505,20017511,17659725,12488064,12488062,17659711,20052154,20052156,20051700,14366204,14366201,9872687,9872686,14366210,17515538,21825816,26936556,21826433,15758722,15758723,21826434,22418004,16252710,11299503,11299504,12048619,11299726,7502157,4742242,4742241,7502154,11299719,11299487,11299486,15078682,10400503,6855971,6855970,10400500,15078677,10474239,10474240,15184936,16252954,21134611,17823733,255011343,6855986,6855985,10400534,15078712,20992403,16252734,11299525,254533103,4742164,7502035,10400519,6855977,6855979,10400521,11399228,7574305,7574304,11399227,16379095,17823736,12619747,12619748,10423361,6872142,6872143,10400526,15078707,20992395,15184821,10474156,255017569,21134462,28347538,255843592,255843590,28236739,29699797,28347547,23421619,23421620,30852263,24192938,17823726,17823725,20992418,15078725,15078723,20992414,28173459,22418036,22418037,28173441,23421647,23421648,30852280,30852267,30852266,38265936,29699831,23421634,17144720,12049159,8100629,8100631,12049168,17144732,22345754,21134585,21134583,256299237,21134491,21134492,28347572,36844992,39456395,39456406,38265913,29699799,22345742,16196184,16196182,22345738,29699794,22345763,16196194,16196195,16196186,11258490,7473962,7473963,11258491,16196167,255905471,38265892,48175472,39279058,30682161,30682160,39279054,49205534,59562110,48175464,48175463,57705406,57705405,59562105,49205567,39279098,39279097,49205564,50079932,40058598,40058599,39328656,30730402,30730403,29573574,29573572,38140016,48053494,48053493,59445136,61560306,50079945,40058607,31376245,23879926,23879924,31376241,40058602,257654299,72183446,72183447,270812408,259389475,72398403,270294772,73236054,60489325,58538075,58538076,60816961,73563262,85777883,72183456,72183457,85777885,72398408,257902722,72398441,59662656,59662655,59538766,48152358,48152357,49086242,39156575,39156574,49086241,60489315,73236046,73236112,86849005,85994984,72398428,72398429,59898884,257302796,70399379,70399380,73236087,60489364,49086288,49086289,60489366,60664674,49417137,49417136,60570784,73313656,73236062,60489332,49086262,39156585,30559320,30559319,39156581,49086256,57705379,46356105,256211876,70399361,73236100,73236099,73236092,73236093,72640428,72640427,73236105,85434901,71849339,60664671,49263275,39336747,30738050,23318021,17053663,17053662,23318016,30738043,39336737,49263263,60664658,72272442,59538751,48152352,38243504,30251986,30251987,38835814,48324249,48324248,47432302,255909258,21698792,21698791,28980986,37524760,47432297,58818826,71547175,60489373,60489372,49263269,39336743,39336742,49263268,257502318,49263277,49086315,49086280,257590309,48505145,256424987,30017464,38590110,36498021,36498019,32833653,25128732,18576244,13201233,13201232,268047880,32833638,41754494,52068299,58818827,60758850,49355672,39425991,30821451,23393135,23393134,30821447,28035200,20867349,14965315,14965314,20867345,28035192,36498106,46356106,46356108,41754525,41754524,36498139,36498138,46355959,36497955,28035077,255361331,14965277,20867278,28035081,36497960,46355966,49263261,46356040,36498034,28035145,20867314,14965298,14965299,20867318,28035148,20867326,20867325,28035159,36498053,36497971,36497969,38280296,29713666,22358028,16454896,11465016,11465015,16454895,22645288,30017473,38590119,48189750,48505155,38590115,30017470,22645285,16454893,16454892,22645283,30017466,28035141,28035142,36497998,28035109,20867293,14965286,10297785,10297784,14965284,14965289,20867297,28035119,22358049,22358047,29713693,31372032,31372034,256018891,17532042,23876747,31371816,31371817,23876879,23876878,23876631,17531928,12366285,8356155,267998285,3316237,3316238,5393043,3317302,3317301,5394726,3317303,1951551,1115053,625817,254186075,3317305,5394733,8358082,8355517,5393172,5393173,5394071,5393104,3316283,1951565,1951566,3316258,1950794,1114442,625408,347498,347499,625409,1114446,1950804,3316275,3316589,3316590,5393565,5393162,3316353,3316354,5393165,5393183,254403289,1950866,1950867,3316338,5393154,3317160,1951445,1114976,1114975,625845,347762,347763,625848,1115066,625830,625829,1114431,1114430,1950775,1114854,625690,625691,1114650,1114651,1114466,625473,625474,625425,347508,347509,347578,625460,347528,190556,104054,104052,190554,347524,254135413,1950815,254186005,1114456,1950818,3316292,1950823,1950824,1950833,1114792,625649,625650,1114493,1114495,625765,625764,1114977,1115069,1114570,625493,347549,190567,190566,347546,625489,625531,254135425,1114785,1114784,267746183,190697,104136,57255,57254,104132,104076,57226,57227,104079,104103,190640,347681,625717,1114492,1114491,1950854,1115125,625868,347780,190709,104141,57258,32209,18520,10627,10626,18515,32199,57239,104097,190632,347665,625692,1114857,1951273,3316881,5394045,8356985,12367585,10760770,7109965,7109966,4477816,2690402,1558565,886096,886097,1558575,2690413,2690516,2690515,254739879,15562110,21587476,28861427,37402978,47312365,58702112,71434185,85007561,98933426,112922990,112921106,270817230,85005430,71431677,58699082,47308862,37399470,36426710,27967887,27967888,28858367,21585060,15560426,255043371,7111325,4477544,2690192,1558383,885973,499884,499883,885972,1558381,254227297,4477957,7112018,255043491,15562004,21587300,28861184,37402713,257460221,71434015,71574678,58848145,47463290,37555826,29009661,21723020,15678215,15678214,21723019,29009659,37555823,47463288,58848141,71574676 Dl.O(d2) = 5272743,3227067,1892045,1079695,1079693,1892040,3227059,5272730,8201812,12169841,17290978,255997753,30725592,23307791,17046356,17046357,16187758,11252239,11252238,268077052,18932680,13497265,9234228,9234227,13497263,15985975,20045332,14360005,9867297,9867296,14360002,20045325,26931150,30916385,38252838,29687693,26933516,26933517,26926349,20040926,20040925,26926347,254507160,17196698,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,6483488,9869671,14362955,14373404,10912882,7217224,7217221,10912873,15757760,20067150,21779505,20017511,17659725,12488064,12488062,17659711,20052154,20052156,20051700,14366204,14366201,9872687,9872686,14366210,17515538,21825816,26936556,21826433,15758722,15758723,21826434,22418004,16252710,11299503,11299504,12048619,11299726,7502157,4742242,4742241,7502154,11299719,11299487,11299486,15078682,10400503,6855971,6855970,10400500,15078677,10474239,10474240,15184936,16252954,21134611,17823733,255011343,6855986,6855985,10400534,15078712,20992403,16252734,11299525,254533103,4742164,7502035,10400519,6855977,6855979,10400521,11399228,7574305,7574304,11399227,16379095,17823736,12619747,12619748,10423361,6872142,6872143,10400526,15078707,20992395,15184821,10474156,255017569,21134462,28347538,255843592,255843590,28236739,29699797,28347547,23421619,23421620,30852263,24192938,17823726,17823725,20992418,15078725,15078723,20992414,28173459,22418036,22418037,28173441,23421647,23421648,30852280,30852267,30852266,38265936,29699831,23421634,17144720,12049159,8100629,8100631,12049168,17144732,22345754,21134585,21134583,256299237,21134491,21134492,28347572,36844992,39456395,39456406,38265913,29699799,22345742,16196184,16196182,22345738,29699794,22345763,16196194,16196195,16196186,11258490,7473962,7473963,11258491,16196167,255905471,38265892,48175472,39279058,30682161,30682160,39279054,49205534,59562110,48175464,48175463,57705406,57705405,59562105,49205567,39279098,39279097,49205564,50079932,40058598,40058599,39328656,30730402,30730403,29573574,29573572,38140016,48053494,48053493,59445136,61560306,50079945,40058607,31376245,23879926,23879924,31376241,40058602,257654299,72183446,72183447,270812408,259389475,72398403,270294772,73236054,60489325,58538075,58538076,60816961,73563262,85777883,72183456,72183457,85777885,72398408,257902722,72398441,59662656,59662655,59538766,48152358,48152357,49086242,39156575,39156574,49086241,60489315,73236046,73236112,86849005,85994984,72398428,72398429,59898884,257302796,70399379,70399380,73236087,60489364,49086288,49086289,60489366,60664674,49417137,49417136,60570784,73313656,73236062,60489332,49086262,39156585,30559320,30559319,39156581,49086256,57705379,46356105,256211876,70399361,73236100,73236099,73236092,73236093,72640428,72640427,73236105,85434901,71849339,60664671,49263275,39336747,30738050,23318021,17053663,17053662,23318016,30738043,39336737,49263263,60664658,72272442,59538751,48152352,38243504,30251986,30251987,38835814,48324249,48324248,47432302,255909258,21698792,21698791,28980986,37524760,47432297,58818826,71547175,60489373,60489372,49263269,39336743,39336742,49263268,257502318,49263277,49086315,49086280,257590309,48505145,256424987,30017464,38590110,36498021,36498019,32833653,25128732,18576244,13201233,13201232,268047880,32833638,41754494,52068299,58818827,60758850,49355672,39425991,30821451,23393135,23393134,30821447,28035200,20867349,14965315,14965314,20867345,28035192,36498106,46356106,46356108,41754525,41754524,36498139,36498138,46355959,36497955,28035077,255361331,14965277,20867278,28035081,36497960,46355966,49263261,46356040,36498034,28035145,20867314,14965298,14965299,20867318,28035148,20867326,20867325,28035159,36498053,36497971,36497969,38280296,29713666,22358028,16454896,11465016,11465015,16454895,22645288,30017473,38590119,48189750,48505155,38590115,30017470,22645285,16454893,16454892,22645283,30017466,28035141,28035142,36497998,28035109,20867293,14965286,10297785,10297784,14965284,14965289,20867297,28035119,22358049,22358047,29713693,31372032,31372034,256018891,17532042,23876747,31371816,31371817,23876879,23876878,23876631,17531928,12366285,8356155,267998285,3316237,3316238,5393043,3317302,3317301,5394726,3317303,1951551,1115053,625817,254186075,3317305,5394733,8358082,8355517,5393172,5393173,5394071,5393104,3316283,1951565,1951566,3316258,1950794,1114442,625408,347498,347499,625409,1114446,1950804,3316275,3316589,3316590,5393565,5393162,3316353,3316354,5393165,5393183,254403289,1950866,1950867,3316338,5393154,3317160,1951445,1114976,1114975,625845,347762,347763,625848,1115066,625830,625829,1114431,1114430,1950775,1114854,625690,625691,1114650,1114651,1114466,625473,625474,625425,347508,347509,347578,625460,347528,190556,104054,104052,190554,347524,254135413,1950815,254186005,1114456,1950818,3316292,1950823,1950824,1950833,1114792,625649,625650,1114493,1114495,625765,625764,1114977,1115069,1114570,625493,347549,190567,190566,347546,625489,625531,254135425,1114785,1114784,267746183,190697,104136,57255,57254,104132,104076,57226,57227,104079,104103,190640,347681,625717,1114492,1114491,1950854,1115125,625868,347780,190709,104141,57258,32209,18520,10627,10626,18515,32199,57239,104097,190632,347665,625692,1114857,1951273,3316881,5394045,8356985,12367585,10760770,7109965,7109966,4477816,2690402,1558565,886096,886097,1558575,2690413,2690516,2690515,254739879,15562110,21587476,28861427,37402978,47312365,58702112,71434185,85007561,98933426,112922990,112921106,270817230,85005430,71431677,58699082,47308862,37399470,36426710,27967887,27967888,28858367,21585060,15560426,255043371,7111325,4477544,2690192,1558383,885973,499884,499883,885972,1558381,254227297,4477957,7112018,255043491,15562004,21587300,28861184,37402713,257460221,71434015,71574678,58848145,47463290,37555826,29009661,21723020,15678215,15678214,21723019,29009659,37555823,47463288,58848141,71574676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14893118, s2 = 9807849, dlinesl.size( ) = 2 s1 = 14893118, s2 = 9807849, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14893118, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 7816871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6473566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15050281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15050281, s2 = 1627916, int(edited[s2]) = 0 s1 = 15050281, s2 = 1627916, d1 = 15, d2 = 11 Dl.O(d1) = 35106031,35106033,44482769,35106044,35106045,44482785,55328896,55327750,44481631,35105043,27019655,22964060,16727591,16727593,22964066,30365937,38952192,48871821,60264437,67666645,268828050,67667237,255330378,55327006,44480967,35104536,27019271,27019272,27019205,20128224,14436241,9930465,6526344,4089066,4089067,6526345,9930469,14436252,255746147,35104488,44480920,55326931,67666760,81133413,255746136,55327006,254976752 Dl.O(d2) = 51363483,41177307,254116770,24744953,32361418,41177310,44482240,44355885,34978179,26898789,26898787,26898782,254095806,27019520,27019205,27019204,35104431,44480846,35106541,35106540,41177326,32361432,32361433,41177328,41177330,32361440,24744971,18271703,12967770,8826402,5751048,5751049,8826405,8826315,8826314,12967607,18271423,14437367,14437366,20129888,255330536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15050281, s2 = 1627916, dlinesl.size( ) = 2 s1 = 15050281, s2 = 1627916, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15050281, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 6459766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14157886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157886, s2 = 11444192, int(edited[s2]) = 0 s1 = 14157886, s2 = 11444192, d1 = 50, d2 = 38 Dl.O(d1) = 254936179,19125298,22536820,22536821,22536815,20923245,20923243,23358612,21539286,15523470,10736147,7093437,7093438,7093309,7093310,5444521,5444520,8433324,12464696,17640467,15522901,10735810,7093276,4466098,2683162,2683161,4466093,7093269,4466105,4466104,7093291,10735842,15015841,10344085,6810100,4271274,4271272,6810096,10344076,15015828,20923238,28098578,21305582,15336231,15336230,21305577,28527673,28805911,21539107,15523353,15523351,21090158,21090155,28297987,36795178,42607641,33583561,25787747,19142962,13668517,9360025,9360024,13668515,19142957,22415020,29780244,38352830,36794892,36794893,37344069,47253619,37344301,37344300,256388170,268633082,268222310,46680643,37343926,37343927,255078466,22237821,16102611,16102612,255891342,22278744,21575894,15552573,15552575,267789882,24157269,28845973,24157293,22137224,255077946,7378011,7378012,11123526,16020700,22137230,16060796,11151925,11151926,16060797,16855480,16855479,258693944,12625184,8571159,5566979,3450915,3450916,3075117,3075119,5071880,254563971,5066365,3070430,3070432,267900841,3053389,1778952,1014247,1014245,1778948,1015053,572161,572163,1015062,576674,576672,1023410,1793933,1803259,1789262,1020274,1020273,580115,580113,970626,1028722,1793972,1023437,576685,576686,1023442,1793979,1803300,1793710,1023253,576577,322631,322632,576582,1023262,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1028918,579758,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1572193,893889,504308,282781,282780,504297,893859,1572149,1024725,1024726,1025049,1028780,1802206,1031057,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573170,2714925,1573084,1573083,1779474,3054094,1806369,1806367,1792102,1024259,1024263,1792140,1024464,1024461,1024482,1024484,1025829,1797705,3062842,3062843,5055672,4936942,4936941,3063827,1786018,1728073,1728072,2977306,4934646,5078452,5078451,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962004,7992737,8001883,7972650,7972651,11917868,11889674,7949489,5055624,5055623,5068909,3072590,1792019,1792020,3072596,5056183,5056181,5086232,5043581,5043580,7932933,8001387,7960355,5063552,3067992,3067993,5063554,5041564,3052344,3052345,5041567,5056916,3063704,3063705,5056918,7950959,7993536,5088280,5088279,7993535,5365765,5365764,7631669,5087131,5087132,7992157,8000150,8000149,7950890,5056852,5056853,5089008,7994474,11943902,17017814,11933834,7986400,7986399,11874217,11910434,11890746,11890747,11889508,7949289,5055486,3062807,3062808,4940093,2981044,2981043,4940087,5048838,5048861,254817013,16714828,11675455,7784325,7574922,7574924,11399991,16380137,11689456,11689458,7796397,4943840,4943841,3091549,1806056,1031366,1031365,1806049,3091535,5093806,8001406,11952786,11678715,7787209,7787208,7783541,4933769,2976549,2976553,2976448,1727472,982027,982028,1727477,982321,982320,981933,552869,552867,981922,1727233,2975022,1726559,981592,981593,1726569,2975035,254552293,7782515,4944407,2984102,1732450,984913,554425,310212,171563,94400,94399,171562,310211,554423,984910,1732447,2806061,1627846,1627847,2806063,4657839,2984328,1732627,985022,985021,983051,983052,1729259,2979067,4937132,4934293,2982731,2977970,1728494,1728493,983340,983339,1729766,2979837,1731985,984637,984636,1731982,984732,554491,310246,171587,94416,52089,29301,16779,9592,9591,16774,29289,52065,94365,171502,310100,267753207,1731671,2982988,254369525,2980113,2980159,2980158,4938670,2984613,1732820,985130,554534,310267,310268,554536,554111,554112,982632,982635,984416,1728645,1728646,1726855,1726856,2975463,1731804,1731807,2982917,1731623,1731625,2979491,1940137,1940136,2975110,2975107,2978475,1728838,1728837,2978470,2982751,2982752,4942643,7794975,11688546,11688023,7797493,7797494,11685636,7792573,4940874,2981570,1730775,983932,553919,553918,983930,1730771,2981562,4940868,254805469,11687696,11678558,7787024,4942941,4936541,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,983851,553867,309935,309934,553861,983834,1730620,2981287,4940508,4942439,4942440,7794721,7786514,7786515,7789099,10846538,10846540,7794072,4941904,2982171,2982172,4941907,7786668,7786671,11672481,16714268,11676842,11676843,11676962,10693726,7064845,4448160,2672410,2672411,4448165,7064855,10693739,11684874,16727575,16714198,11684511,7791670,4941827,2982104,2982106,4940207,4940206,7791629,11684503,16727228,22963811,22964436,254825410,11927849,11917166,11917165,11678536,11212056,11212057,16139793,16981901,16981902,254822126,5870724,5870723,8991979,11897772,11897775,11866625,7931157,7931158,7959425,5074250,3076980,1795348,1024319,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981959,7982867,7982865,11682690,11682692,16724615,17017377,17017376,22337363,17011210,16246890,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,5057892,3064361,3064359,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,3147229,5164675,5164718,3147680,3147683,5061601,5061599,7957812,11899476,7988805,5084637,3084312,3084311,5084634,7988799,11936922,17021460,255531778,23276962,23276961,30668868,23253424,16990563,16990562,254833148 Dl.O(d2) = 263864567,274296336,264864232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14157886, s2 = 11444192, dlinesl.size( ) = 40 s1 = 10339599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16210185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16210185, s2 = 9453263, int(edited[s2]) = 0 s1 = 16210185, s2 = 9453263, d1 = 123, d2 = 169 Dl.O(d1) = 8603188,5590589,3468355,2056659,2056657,3468463,5590794,8603565,8602833,5590376,3468241,2056544,1179815,1179814,2056539,3468226,5590339,8602708,12667620,17884168,17884227,17884225,14194626,9757991,9757992,14194617,14194615,19816260,26627271,29678643,26627240,26626805,26626807,22095172,15987021,11098315,9757879,6416040,4025279,2412199,1396180,794294,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,23974948,17884451,254302258,9415915,13743000,19235784,25895801,33701909,255676730,38628543,30054675,22678406,22678405,26677917,26677918,25539743,18927376,18927377,25539745,33301904,33301552,33301551,26157818,19458428,19458427,23975269,23975268,23975229,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,13204112,9001278,9001280,13204124,18579660,18579657,25132931,32838076,41758665,52072032,41759354,255273874,47920344,38004777,29441919,22108408,22108406 Dl.O(d2) = 38133887,38133695,38133696,48047126,258123271,270049450,58323530,46956411,37076124 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 352318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158235, s2 = 6804206, int(edited[s2]) = 0 s1 = 14158235, s2 = 6804206, d1 = 24, d2 = 21 Dl.O(d1) = 22234129,16099319,16099318,22234128,29581682,38147502,38147503,268401695,16099181,11182184,268084341,255896079,16099075,16099077,11182122,11182121,16099122,22233871,22234050,29581385,22233747,16098888,16098887,16099228,17048700,17048701,23310648,30728756,38147253,255896073,16099036,11182044,11182043,16099032,22233839,22233892,22233893,16099280,16099281,22233592,16098740,11181750,11181752,7419173,4688752,4688753,7419369,11182173,15211221,15211220,11182326,11182327,7419806,4688791,4688790,4324212,4324211,6887909,4688542,2825143,1639207,1639205,2825137,4688395,2825065,2825066,4688397,3013897,3013898,4989668,7861508,7419753,4688748,2825256,1639260,1639155,1639154,1639228,2825198,4688644,7419583,4688813,2825285,1639273,1639275,2825292,4688827,7419846,7419257,7419256,11182029,16098870,11181883,7419194,7419070,7419071,11181802,16098789,22233637,16099554,11182538,7419668,7419669,11182151,7419349,4688495,4688496,7419355,11181889,7419132,7419133,7419533,4688868,2825315,2825314,2825320,4688877,7419918,7419624,4688674,4688675,4688664,4688663,7419608,11182466,10774489,7119029,4482313,267787603,254227403,4482316,7119034,10774494,15576083,16099144,16099143,16098956,11840016,7912830,5490046,3380702,3380701,5490043,8489041,10774931,11181864,10774418,7118993,4482297,2693159,2693158,2693277,1560287,267825921 Dl.O(d2) = 258696187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158235, s2 = 6804206, dlinesl.size( ) = 26 s1 = 14297373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14297373, s2 = 7076512, int(edited[s2]) = 0 s1 = 14297373, s2 = 7076512, d1 = 70, d2 = 29 Dl.O(d1) = 28458616,31722192,24214995,21960561,21960563,17844560,17844561,14095376,14095374,19664079,26398054,26386005,19651503,14085665,9689233,6373320,6373319,9689231,14086655,19652773,26387251,30292845,254786728,11631214,11631215,14036577,14036576,19590926,23245126,16978601,11891738,7951363,7951361,11891733,12634398,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,7910907,11836988,11837074,11837635,16914581,23179447,23178792,17123034,12033194,12033193,15975300,11089879,11089880,13531532,14087542,14087541,19653936,21468646,28725318,37256834,32704297,30822666,23394667,22874825,254126500,26388029,23113584,16854515,16854516,17766138,18948017,18837900,13421524,13421523,18837897,23837933,31329308,37734625,30820434,23391734,17119873,17119874,23391735,24175457,17807499,12606357,256039907 Dl.O(d2) = 262233238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14297373, s2 = 7076512, dlinesl.size( ) = 2 s1 = 14297373, s2 = 7076512, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14297373, Dl.E( ) = 76, 2.29e-05 seconds used appending s1 = 11647232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158414, s2 = 11111122, int(edited[s2]) = 0 s1 = 14158414, s2 = 11111122, d1 = 1, d2 = 77 Dl.O(d1) = 17436508 Dl.O(d2) = 58415845,71137365,84707128,98637372,102154680,112634249,257450746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158414, s2 = 11111122, dlinesl.size( ) = 22 s1 = 6608823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608823, s2 = 11440310, int(edited[s2]) = 0 s1 = 6608823, s2 = 11440310, d1 = 133, d2 = 156 Dl.O(d1) = 256499598 Dl.O(d2) = 261814338,262795698 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15050893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15050893, s2 = 6536084, int(edited[s2]) = 0 s1 = 15050893, s2 = 6536084, d1 = 113, d2 = 40 Dl.O(d1) = 261973518,112351524,272525570,255817833,21220914,28447074,256846389 Dl.O(d2) = 255693893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15050893, s2 = 6536084, dlinesl.size( ) = 30 s1 = 6784863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6784863, s2 = 6579314, int(edited[s2]) = 0 s1 = 6784863, s2 = 6579314, d1 = 0, d2 = 0 Dl.O(d1) = 258422958,257215632,43024507,53503991,65529487,78865624,92977746,107388527,121773331,135713864,262037337,161258335,262346150,152369264,139648524,126278148,112415136,98426554,84505076,70941267,258037446,31413729,31413730,257657279,61593762,74370202,87972257,101944763,260936272,91827742,77906894,64718601,52804777,42404677,256173602,19029614,254949632,3811826,3811825,3811804,3811802,6092388,9300499,9611922,6313443,3957068,2369803,2369804,3957072,6313451,9611933,12967481,9329092,6110964,6110963,9329090,13569080,9290358,6085866,3807935,3807933,6085864,254874021,9314136,9314135,254657323,6094750,9304194,9344509,6120639,6120640,254935521,13577626,17823313,12619358,8566018,5562018,5562017,8566016,12619356 Dl.O(d2) = 258422958,257215632,43024507,53503991,65529487,78865624,92977746,107388527,121773331,135713864,262037337,161258335,262346150,152369264,139648524,126278148,112415136,98426554,84505076,70941267,258037446,31413729,31413730,257657279,61593762,74370202,87972257,101944763,260936272,91827742,77906894,64718601,52804777,42404677,256173602,19029614,254949632,3811826,3811825,3811804,3811802,6092388,9300499,9611922,6313443,3957068,2369803,2369804,3957072,6313451,9611933,12967481,9329092,6110964,6110963,9329090,13569080,9290358,6085866,3807935,3807933,6085864,254874021,9314136,9314135,254657323,6094750,9304194,9344509,6120639,6120640,254935521,13577626,17823313,12619358,8566018,5562018,5562017,8566016,12619356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6784863, s2 = 6579314, dlinesl.size( ) = 2 s1 = 6784863, s2 = 6579314, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 6784863, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8378187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8378187, s2 = 14172639, int(edited[s2]) = 0 s1 = 8378187, s2 = 14172639, d1 = 11, d2 = 8 Dl.O(d1) = 105765779,91544033,91544032,105765778,119998433,133863426,147105918,152492317,139772391,126397737,112527831,98533561,84609093,84609094,259922594 Dl.O(d2) = 58329861,71045303,84609089,256322312,46962363,46962364,58329863,71045307,257116626,98720655,112716008,259562624,85460990,71876343,71876342,72685426,258750297,59482020,48092478,38180719,38180720,48092479,256395153,22262841,22262839,29613705,38180724,38656430,30079518,22698234,16495351,11492801,11492799,255488837,30079507,38656418,48572245,48092462,38180715,38180714,48092473,59482019,72219257,77713395,64532427,52633588,42248363,33269034,33269033,33269030,33269029,42248358,52633581,64532425,77713393,72701807,59964301,48572255,48572256,59964302,59964304,72701811,86299108,84015774,70481913,57781747,57781748,60767205,60767204,59482015,59482016,269980292,72219270,85674356,72087950,269823847,48572244,59482040,269809265,70481909,57781745,46426741,36562505,36562506,46426743,57781750,70481905,57781744,47947559,257505645,46426734,46426735,57781740,59457196,258124813,72073364,85660533,77713403,64532436,52633595,42248368,38033892,38033891,29486756,256384505,47963570,59354546,258740011,99622655,270354116,65942246,53874488,268794213,34249358,43349367,53874492,65942253,79306748,70481896,57781735,57781736,70481897,84015763,72195001,59457194,59457195,72195003,259373179,85660535,85660536,85789005,72195006,72195007,85789007,99742849,113757288,120197258,120197259,134030640,127497416,113624652,99610092,85660515,72073352,59339116,59339117,72073354,85660517,99610095,99610112,256390044,72701294,72701293,85660529,85660530,257512256,270320212,105996571,91801942,77879659,64690107,52776052,52776051,64690105,77879655,85813248,99766990,100261136,100261135,114291181,113624650,113624649,108700994,94414144,94414143,97884557,97884559,108700999,94414147,94414148,108701002,122966041,122966043,113624656,99610099,99610100,113624658,122278248,107864998,93437357,93437358,107865002,122278252,113780789,113780790,126967199,113108666,99118444,93437356,259740051,99118437,99118436,99118443,101747058,101747057,115792579,113624664,113624663,127497424,257888546,94350875,80294285,66864874,54606844,54606842,66864873,80294282,80294302,87095239,73477183,60728930,60728931,257597052,72199646,72199645,85793429,80294296,80294295,66864902,255730536,43863918,34593292,26606199,26606198,34593289,39398613,49326837,60728924,73477173,73477188,73477189,87095242,80294315,66864899,66864898,80294292,87095234,73477178,66864869,66864870,73477157,80294288,66934753,60728920,49326834,49326835,60728921,60728945,49326854,49326853,60728914,49326831,39398609,39398610,49326832,60728917,70983849,254525036,37386321,37386320,267889888,47295538,58686391,51781259,51781258,58686432,47295580,267889892,49872071,58686430,47295589,37386336,28846106,21574183,21574184,254235596,46329049,36473657,28013286,20847619,14947278,10281552,10281553,14947280,20847623,255077868,254767250,41506462,46329053,36473660,254525032,28846083,28846082,37386294,36473680,254767224,254525034,36473677,28846088,28846087,34657429,34657430,43930428,54672665,66929269,71419685,66929286,66929288,58686397,58686398,58686406,47901341,47901340,51067616,268083480,32149591,40927101,51067619,62696526,60319817,60319818,73061076,80355372,80355371,85491063,256387450,51380647,41190420,41190419,37981852,29418903,29418904,37981854,47898995,44477138,35100163,27013365,20121036,20121035,27013361,35100160,44477134,52191535,41864174,41864175,44477041,35100053,35100054,41864182,35100117,35100116,44476979,44476980,55323252,55323381,55323331,55323254,44476981,44476953,35099967,27013195,20120933,14429622,14429621,20120931,27013190,33406338,42395529,52795148,62640983,55323333,55323204,44476900,44476901,55323206,44476965,35099977,268827967,35100035,27013261,27013156,20120905,14429609,14429608,19022896,19022895,20120915,14429613,14429612,20120910,26637886,27013157,256220813,27013372,35100174,44477154,256753528,55323216,44476936,35099949,32730603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8378187, s2 = 14172639, dlinesl.size( ) = 12 s1 = 14158840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6850038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6850038, s2 = 15111847, int(edited[s2]) = 0 s1 = 6850038, s2 = 15111847, d1 = 17, d2 = 14 Dl.O(d1) = 259263013 Dl.O(d2) = 257843273,43012401,256173127,255296083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6850038, s2 = 15111847, dlinesl.size( ) = 32 s1 = 3222541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3222541, s2 = 4633475, int(edited[s2]) = 0 s1 = 3222541, s2 = 4633475, d1 = 191, d2 = 159 Dl.O(d1) = 101222347,259792374,88361211,88361210,101222343,101222342,115300354,101222349,101222350,115300361,104861155,90691659,76822375 Dl.O(d2) = 186281371,176902963,273366893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3222541, s2 = 4633475, dlinesl.size( ) = 2 s1 = 3222541, s2 = 4633475, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 3222541, Dl.E( ) = 200, 7.2e-05 seconds used appending s1 = 2325892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2325892, s2 = 11348470, int(edited[s2]) = 0 s1 = 2325892, s2 = 11348470, d1 = 37, d2 = 49 Dl.O(d1) = 62606706,62606707,258268204 Dl.O(d2) = 2403651,2403650,4010524,6390364,268528029,122373313,136357667,149623681,263008479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2325892, s2 = 11348470, dlinesl.size( ) = 8 s1 = 8676935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14966195, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14507615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6986866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6986866, s2 = 10189333, int(edited[s2]) = 0 s1 = 6986866, s2 = 10189333, d1 = 162, d2 = 155 Dl.O(d1) = 261001470 Dl.O(d2) = 257496670 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7178788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7178788, s2 = 4323317, int(edited[s2]) = 0 s1 = 7178788, s2 = 4323317, d1 = 20, d2 = 35 Dl.O(d1) = 263629224 Dl.O(d2) = 194588822,262475782,166500172,166500171,177081128,186435661,194588822,262475782,177081124,166500167,260874162,128805331,114908190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7178788, s2 = 4323317, dlinesl.size( ) = 8 s1 = 11649586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649586, s2 = 1632945, int(edited[s2]) = 0 s1 = 11649586, s2 = 1632945, d1 = 64, d2 = 8 Dl.O(d1) = 269456709,103890689,118033167,262418127 Dl.O(d2) = 41372657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649586, s2 = 1632945, dlinesl.size( ) = 54 s1 = 6669817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6620865, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15672641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15672641, s2 = 9762703, int(edited[s2]) = 0 s1 = 15672641, s2 = 9762703, d1 = 0, d2 = 0 Dl.O(d1) = 126646978,126646977,140001707,152698617,261219440,175305844,184860545,193204022,261618706,180692923,170561344,159223087,146849303,133591200,119716308,105476785,91254436,77334875,64187784,52337611,41998420,38404453,35174243,27085851,27085853,35174246,37435716,28894692,255369608,47343013,55680486,44771615,44771616,43192720,43192719,34117416,34117412,43204552,47348703,37441929,33246796,25496122,25496123,27989725,31410620,31410619,36449334,46302291,57646965,70337402,83862553,255747272,111641865,125444262,138772939,151474266,163357977,270660546,183881394,192356689,260994364 Dl.O(d2) = 126646978,126646977,140001707,152698617,261219440,175305844,184860545,193204022,261618706,180692923,170561344,159223087,146849303,133591200,119716308,105476785,91254436,77334875,64187784,52337611,41998420,38404453,35174243,27085851,27085853,35174246,37435716,28894692,255369608,47343013,55680486,44771615,44771616,43192720,43192719,34117416,34117412,43204552,47348703,37441929,33246796,25496122,25496123,27989725,31410620,31410619,36449334,46302291,57646965,70337402,83862553,255747272,111641865,125444262,138772939,151474266,163357977,270660546,183881394,192356689,260994364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15672641, s2 = 9762703, dlinesl.size( ) = 2 s1 = 15672641, s2 = 9762703, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 15672641, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9762702, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14188791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14188791, s2 = 15865260, int(edited[s2]) = 0 s1 = 14188791, s2 = 15865260, d1 = 53, d2 = 54 Dl.O(d1) = 35321068,261003129 Dl.O(d2) = 231039577,265829302,226071659,274332887,210949499,205843993,263823162,151496772,262743674,70367045,258621263,70367045,257386733,36473232,28012867,255535115,12038202,12038201,17129577,23402212,30830177,39434169,49363280,60766179,49363265,39434157,39434158,46958685,48126045,48126044,48126048,48126049,59513588,72247981,85839783,87133929,101132079,87133910,259466133,105078712,111769918,111769919,105078699,90898641,90855449,76977031,63865668,63865666,76977027,63907174,52088057,52088058,57759735,46408955,46408957,57759737,52088068,52088067,63907185,77018725,63907169,52088053,41774411,32853637,32853635,27983207,20818991,14921805,14921806,20818993,27983211,256573945,32082122,40854250,50989194,52088090,52088089,257205012,41774380,256107664,18590660,255645783,18590665,268484726,41774399,52088038,52364361,47738145,47738146,59136858,63907155,52088041,52088040,258380107,64213432,52364366,52364365,64213429,77360615,64213426,64213425,77360613,66883800,66883801,80312888,80312910,94369150,80312892,66883803,66883802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14188791, s2 = 15865260, dlinesl.size( ) = 36 s1 = 16349475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7701322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7701322, s2 = 16349476, int(edited[s2]) = 0 s1 = 7701322, s2 = 16349476, d1 = 11, d2 = 0 Dl.O(d1) = 273096045 Dl.O(d2) = 15261030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7701322, s2 = 16349476, dlinesl.size( ) = 2 s1 = 7701322, s2 = 16349476, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7701322, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 8573047, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14159696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159696, s2 = 9236035, int(edited[s2]) = 0 s1 = 14159696, s2 = 9236035, d1 = 23, d2 = 20 Dl.O(d1) = 260151953,261861715,263581899,166185478,262282929,141803853,262948403 Dl.O(d2) = 261992487,120303372,120303373,120303374,106103294,106103295,120303377,134134083,130280610,261861715,167744374,166185478,154450143,141803853,260648287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159696, s2 = 9236035, dlinesl.size( ) = 24 s1 = 3058686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3058686, s2 = 7206236, int(edited[s2]) = 0 s1 = 3058686, s2 = 7206236, d1 = 46, d2 = 47 Dl.O(d1) = 94349178,98184626,258093522,262578047 Dl.O(d2) = 263986848,261312438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3058686, s2 = 7206236, dlinesl.size( ) = 20 s1 = 8270765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7125545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7125545, s2 = 15300997, int(edited[s2]) = 0 s1 = 7125545, s2 = 15300997, d1 = 35, d2 = 29 Dl.O(d1) = 262917033,263707357,203781306,209261377 Dl.O(d2) = 105101809,119295184,114368532,100343678,86386263,259416133,105101806,119295180,126752610,257559240,84986017,257559238,258791798,262269953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7125545, s2 = 15300997, dlinesl.size( ) = 26 s1 = 7129595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7129595, s2 = 13839978, int(edited[s2]) = 0 s1 = 7129595, s2 = 13839978, d1 = 62, d2 = 24 Dl.O(d1) = 262971364 Dl.O(d2) = 224789770,222422119,219663737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7129595, s2 = 13839978, dlinesl.size( ) = 5 s1 = 16125627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16125627, s2 = 4048289, int(edited[s2]) = 0 s1 = 16125627, s2 = 4048289, d1 = 41, d2 = 8 Dl.O(d1) = 155697186,143145171,129814651,115915215,258032964,257423230,61514348,50035425,50035426,61514350,61514355,50035430,40016140,31337368,23845160,17503901,12342417,12342416,17503900,17503908,12342420,8338407,8338406,12342418,17503904,23845166,256521253,40016156,46356584,36498500,36498501,46356585,57705883,70399877,83926086,97784863,111707295,125513922,273095908,163431126,174279618,263461851,199701773,205868950,210969850,215138503,218571768,221461697 Dl.O(d2) = 137334211,150375994,137334208,272461133,150375995,162508311,173543560,183341711,191907516,199276376,205511196,210668958,214882581,218349723,265332947,225922449,265764828,230938667,230374571,228815650,227046251,225018467,264303252,216741513,212853116,208097473,262371554,187445958,260753696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16125627, s2 = 4048289, dlinesl.size( ) = 18 s1 = 8695313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8695313, s2 = 10490034, int(edited[s2]) = 0 s1 = 8695313, s2 = 10490034, d1 = 15, d2 = 17 Dl.O(d1) = 162692660,154343731,154343730,166092710,176729228,186140439,192035739,183484981,183484982,192035740,264780945 Dl.O(d2) = 255500864,20272433,20272434,27199123,21314858,21314859,17679665,17679664,17679418,15360155,15360156,17918732,24302061,21967482,15873565,14545095,14545094,18750804,13349490,9121763,5968778,5968779,9121770,13349506,18750836,16633275,16633274,12502779,11980139,8028228,5117341,5117342,8028229,11980143,12502724,11682307,11682309,8469552,5474628,5474621,5474620,8469393,8469391,12502771,17679429,18244538,24717635,21366807,21366808,17679633,17679174,17679175,15366078,10616924,7006280,7006281,10616930,15355877,12695592,12695593,17918740,15873575,11002379,10007559,10007558,10633936,10633935,15387296,18750787,17795243,12595985,12595982,16633279,11602728,11602729,16633290,11980111,8028211,5117334,5117336,8028217,11980116,12502919,8469512,5474608,3368839,1982334,1982335,3368843,5474616,8469526,12502936,17679650,19280396,17679611,17679609,14542381,14542380,12502582,12502581,17679179,15402861,10646219,7029347,4421913,4421912,3571258,3571261,5735374,8804725,12941895,15804041,13816121,13816123,17676918,17676875,12500531,8467956,5473615,3368246,3368247,5473620,8467965,12500829,10633918,10633919,10675797,7051470,7051469,10675793,15441814,17677275,17677277,13026340,8870057,8870058,13026342,18348825,20270799,14543738,10006377,6575783,6575784,10006381,14543743,255710074,15409318,10651204,7033017,7033018,10651207,15409321,17680376,17676865,17676863,24027454,31529687,24603377,18155418,15387276,10633925,7019647,4414357,4414359,3368260,1982010,1982009,3368185,1981968,1981969,3368188,5473505,8467763,12500538,17676882,17677280,12500980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8695313, s2 = 10490034, dlinesl.size( ) = 2 s1 = 8695313, s2 = 10490034, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 8695313, Dl.E( ) = 28, 2.69e-05 seconds used appending s1 = 6931070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6931070, s2 = 5847885, int(edited[s2]) = 0 s1 = 6931070, s2 = 5847885, d1 = 41, d2 = 4 Dl.O(d1) = 260250811,272363751 Dl.O(d2) = 235823815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6931070, s2 = 5847885, dlinesl.size( ) = 56 s1 = 8755980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8812326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8805175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7704261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15053214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15053214, s2 = 11186970, int(edited[s2]) = 0 s1 = 15053214, s2 = 11186970, d1 = 28, d2 = 51 Dl.O(d1) = 263241753,195195729,202096667 Dl.O(d2) = 128263727,141614093,128263728,114387607,100364358,86408211,72813073,60075718,48679470,38757810,255937165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15053214, s2 = 11186970, dlinesl.size( ) = 52 s1 = 10338757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13980829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8856431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8856431, s2 = 8129038, int(edited[s2]) = 0 s1 = 8856431, s2 = 8129038, d1 = 43, d2 = 33 Dl.O(d1) = 217640893,220695133,223293505,225539552,225539571,223293521,220695146,217640900,213981182,209523439,209523438,264284702,274312411,225539528,223293501,223293500,225539546,265431714,220695122,217640882,264564044,223293482,225539514,227493382,265245498,223293514,220695139,217640896,213981178,213981179,217640895,217640891,217640892,264814608,225539543,225539555,223293507,220695134,217640894,217640893,220695133,223293505,225539552,225539571,223293521,220695146,217640900,213981182,209523439,209523438,264284702,274312411,225539528,223293501,223293500,225539546,227493399,227493393,227493391,227493400,265245494,225539559,227493409,265245484,223293484,265040800,225539586,223293533,220695153,220695154,223293535,225539525,225539524,264814610,264284704,209523430,204090790,204090789,265646159 Dl.O(d2) = 272967424,258764869,258764867,256409294,63593227,255912244,271807028,22901496,16670748,11635958,11635957,16670746,255948403,31360244,31360245,40040294,50059802,41664918,32753602,32753603,32559702,24908714,24908713,31286207,23799898,17467219,12314671,8318186,8318184,12314667,17467206,23799879,23799851,23799850,29641672,31230846,39907449,48318965,39960913,38524357,29959142,22594592,17522092,17522091,23866177,31360236,29835988,22468917,16300415,16300414,22468912,29835978,38408182,36437441,36437440,46290644,49927127,39907670,31231021,23747253,17421843,12279349,8292887,5350123,3288196,3288197,5350128,8292898,12279370,17421877,23747318,31231099,31164531,23676267,17356333,17356334,23676269,31164538,38344575,33867777,26045590,24019639,17670690,12495855,8464140,5469929,3364551,267772653,1129675,1978685,3364559,267912717,11125808,11125805,255450889,29473345,38036180,29824843,22457512,22457511,17948602,12718645,12718646,255578391,12499433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8856431, s2 = 8129038, dlinesl.size( ) = 44 s1 = 3192218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3192218, s2 = 6902697, int(edited[s2]) = 0 s1 = 3192218, s2 = 6902697, d1 = 8, d2 = 6 Dl.O(d1) = 100377932,86422335,72827378,72827379,271819691,273333056,194297639,274089902,265875915 Dl.O(d2) = 264724940,262167222,126502972,259915830,258669502,58419916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3192218, s2 = 6902697, dlinesl.size( ) = 16 s1 = 7346835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7346835, s2 = 9404069, int(edited[s2]) = 0 s1 = 7346835, s2 = 9404069, d1 = 16, d2 = 40 Dl.O(d1) = 265682712 Dl.O(d2) = 55241312,67583177,81050900,85668095,72081818,59348433,47957549,38044375,29481254,22143497,22143498,255128076,38044377,33075324,33075325,42019398,52358502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7346835, s2 = 9404069, dlinesl.size( ) = 2 s1 = 7346835, s2 = 9404069, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 7346835, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 7349019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7416072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7416072, s2 = 8615423, int(edited[s2]) = 0 s1 = 7416072, s2 = 8615423, d1 = 46, d2 = 71 Dl.O(d1) = 266430674 Dl.O(d2) = 176498696,165843370,261742785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7416072, s2 = 8615423, dlinesl.size( ) = 38 s1 = 10283297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15053487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7384574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9599824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9734125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9734125, s2 = 7427371, int(edited[s2]) = 0 s1 = 9734125, s2 = 7427371, d1 = 20, d2 = 14 Dl.O(d1) = 224537762,224537763,265274962,274531134 Dl.O(d2) = 266546600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9734125, s2 = 7427371, dlinesl.size( ) = 2 s1 = 9734125, s2 = 7427371, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 9734125, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 7427372, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13955169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9011277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9011277, s2 = 6037187, int(edited[s2]) = 0 s1 = 9011277, s2 = 6037187, d1 = 137, d2 = 110 Dl.O(d1) = 267597315,246955312,247009583,267620983 Dl.O(d2) = 267007190,240247056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9011277, s2 = 6037187, dlinesl.size( ) = 72 s1 = 16255937, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14064081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14064081, s2 = 13988594, int(edited[s2]) = 0 s1 = 14064081, s2 = 13988594, d1 = 18, d2 = 11 Dl.O(d1) = 44446225,35072550,26988564,26988563,256744073,55291567,67629388,81094875,95152221,109406349,123598119,261553597,162503269,173539488,263433409,264127895,210667921,210667917,210667918,214881670,265074636 Dl.O(d2) = 214881672,218348961,221262633,223758551,225921933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14064081, s2 = 13988594, dlinesl.size( ) = 2 s1 = 14064081, s2 = 13988594, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14064081, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 13988593, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14149965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149965, s2 = 12536537, int(edited[s2]) = 0 s1 = 14149965, s2 = 12536537, d1 = 31, d2 = 0 Dl.O(d1) = 274822201,240761415,267065089,242414696,274929267,274987996 Dl.O(d2) = 243900077,243642042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149965, s2 = 12536537, dlinesl.size( ) = 34 s1 = 10363716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10363969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10364406, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10364436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133095, s2 = 11285230, int(edited[s2]) = 0 s1 = 14133095, s2 = 11285230, d1 = 18, d2 = 7 Dl.O(d1) = 263900075,193865449,185608871,185608866 Dl.O(d2) = 261289786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133095, s2 = 11285230, dlinesl.size( ) = 20 s1 = 14152971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15045783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10365957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10365957, s2 = 11281942, int(edited[s2]) = 0 s1 = 10365957, s2 = 11281942, d1 = 15, d2 = 0 Dl.O(d1) = 262767984 Dl.O(d2) = 114491071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10365957, s2 = 11281942, dlinesl.size( ) = 20 s1 = 10366314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14082605, s2 = 11580506, int(edited[s2]) = 0 s1 = 14082605, s2 = 11580506, d1 = 43, d2 = 33 Dl.O(d1) = 85760488,99714445,113728687,127597089,140946336,262228835 Dl.O(d2) = 274632682,215836433,274274701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14082605, s2 = 11580506, dlinesl.size( ) = 34 s1 = 10366681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10366681, s2 = 11130856, int(edited[s2]) = 0 s1 = 10366681, s2 = 11130856, d1 = 0, d2 = 16 Dl.O(d1) = 58765364,71495230 Dl.O(d2) = 257789034,48480500,59872206 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10367153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10367297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10367384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10367596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10367596, s2 = 11042286, int(edited[s2]) = 0 s1 = 10367596, s2 = 11042286, d1 = 6, d2 = 9 Dl.O(d1) = 258414574 Dl.O(d2) = 16599757,16599758,22819228,268026660,23966586,17616385,12434415,8403702,8403699,12434411,12381203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10367596, s2 = 11042286, dlinesl.size( ) = 14 s1 = 10367842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10368245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10368245, s2 = 11400620, int(edited[s2]) = 0 s1 = 10368245, s2 = 11400620, d1 = 27, d2 = 24 Dl.O(d1) = 227816751,229473072,229473070 Dl.O(d2) = 274169801,210682934,210682936,263899404,264129603,205526795,263543892,183362478 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10368349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10368349, s2 = 11003428, int(edited[s2]) = 0 s1 = 10368349, s2 = 11003428, d1 = 2, d2 = 5 Dl.O(d1) = 9989242 Dl.O(d2) = 14514401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10368349, s2 = 11003428, dlinesl.size( ) = 2 s1 = 10368349, s2 = 11003428, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10368349, Dl.E( ) = 22, 3.1e-05 seconds used appending s1 = 10368613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10369215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10370240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10370379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10370658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10370658, s2 = 11550876, int(edited[s2]) = 0 s1 = 10370658, s2 = 11550876, d1 = 7, d2 = 11 Dl.O(d1) = 146307241,158675005,170032252,170032253 Dl.O(d2) = 180197181,263703567,203506697,274229395,265632365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10370658, s2 = 11550876, dlinesl.size( ) = 14 s1 = 14038429, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10371038, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14145423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145423, s2 = 10371268, int(edited[s2]) = 0 s1 = 14145423, s2 = 10371268, d1 = 27, d2 = 0 Dl.O(d1) = 266303670 Dl.O(d2) = 214993550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145423, s2 = 10371268, dlinesl.size( ) = 20 s1 = 10371276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10371276, s2 = 14145424, int(edited[s2]) = 0 s1 = 10371276, s2 = 14145424, d1 = 8, d2 = 16 Dl.O(d1) = 228698482 Dl.O(d2) = 234047501,233501438,265960146,229531033,229531032,230998514,266303671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10371276, s2 = 14145424, dlinesl.size( ) = 14 s1 = 11661786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14098537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10372303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10372303, s2 = 10372298, int(edited[s2]) = 0 s1 = 10372303, s2 = 10372298, d1 = 11, d2 = 27 Dl.O(d1) = 174411196 Dl.O(d2) = 57794951,70495850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10372303, s2 = 10372298, dlinesl.size( ) = 2 s1 = 10372303, s2 = 10372298, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10372303, Dl.E( ) = 40, 1.69e-05 seconds used appending s1 = 14064495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138503, s2 = 11170654, int(edited[s2]) = 0 s1 = 14138503, s2 = 11170654, d1 = 17, d2 = 6 Dl.O(d1) = 219049384,215695841 Dl.O(d2) = 47633242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138503, s2 = 11170654, dlinesl.size( ) = 2 s1 = 14138503, s2 = 11170654, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14138503, Dl.E( ) = 26, 2.69e-05 seconds used appending s1 = 10373009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133607, s2 = 11057138, int(edited[s2]) = 0 s1 = 14133607, s2 = 11057138, d1 = 16, d2 = 2 Dl.O(d1) = 207858274,202050404,202050405,207858272,263519318,202050399,262683444,187066313 Dl.O(d2) = 155665407,259339690,256899786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133607, s2 = 11057138, dlinesl.size( ) = 18 s1 = 14099099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10373857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150387, s2 = 11537138, int(edited[s2]) = 0 s1 = 14150387, s2 = 11537138, d1 = 14, d2 = 7 Dl.O(d1) = 274755697,236033496,235094057 Dl.O(d2) = 265947164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150387, s2 = 11537138, dlinesl.size( ) = 16 s1 = 14132391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14132391, s2 = 11084648, int(edited[s2]) = 0 s1 = 14132391, s2 = 11084648, d1 = 12, d2 = 6 Dl.O(d1) = 263439658,150470411,260998514,260407006,123703070,259166878,81201082,81201084,95257101,81201085,67736368,55397159,55397160,67736369,270661751,55397159,55397160,67736371,81201088 Dl.O(d2) = 27084257,268176527,9964561,6548925,6548924,9964560,14482789,14482702,255334775,27084103,35172586,256230412,255340941,18795367,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281505,14936724,14936726,20835466,22821225,16601353,16601350,11732967,7833506,4972507,4972504,7833498,11732949,8742137,8742139,9745972,14176641,17425521,17425519,23431430,30861666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14132391, s2 = 11084648, dlinesl.size( ) = 14 s1 = 11661998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10375203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10375203, s2 = 14091462, int(edited[s2]) = 0 s1 = 10375203, s2 = 14091462, d1 = 6, d2 = 24 Dl.O(d1) = 259711696,60868399,60868398,73618969 Dl.O(d2) = 115319614,115319615,129247603,142617642,151764082,139062003,260327984,260922628,101241184,115319683,261487918,270882973,87240584,101241031,91205473,91205472,77285378,77285377,259641171,111905775,125723143,117967200,117967201,131795781,129247540,115319542,101241068,101241067,111905867,97968746,97968747,111905873,125723213,115319577,111905860,111905861,125723111,111905749,111905748,260327972,111905742,111905746,259729594,118917444,104727649,104727650,104727641,90556007,90556008,99885225,99885222,113903739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10375203, s2 = 14091462, dlinesl.size( ) = 20 s1 = 14091461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091461, s2 = 10375204, int(edited[s2]) = 0 s1 = 14091461, s2 = 10375204, d1 = 31, d2 = 17 Dl.O(d1) = 87939815,74336943,74336946,65746050,65746049,79101887,79101893,79101892,92728936,259729595,92728985,92728986,260327973,107066736,92729232,92729234,107067072,107066866,92729061,92729062,107066869,107066832,92729033,78667331,65363285,65363286,78667326,92729020,92728954,78667282,78667281,92728948,107066729,259641170,86998173,86998174,100990931,100990932,115061207,114904748,270882972,261487919 Dl.O(d2) = 78667404,65363337,53359873,259711697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091461, s2 = 10375204, dlinesl.size( ) = 20 s1 = 10375513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10375756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10376117, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10376185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10376419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153937, s2 = 11501384, int(edited[s2]) = 0 s1 = 14153937, s2 = 11501384, d1 = 22, d2 = 18 Dl.O(d1) = 243168711,242858503 Dl.O(d2) = 265152066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153937, s2 = 11501384, dlinesl.size( ) = 26 s1 = 14126607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126607, s2 = 7411839, int(edited[s2]) = 0 s1 = 14126607, s2 = 7411839, d1 = 9, d2 = 34 Dl.O(d1) = 187347628 Dl.O(d2) = 266386316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126607, s2 = 7411839, dlinesl.size( ) = 20 s1 = 14025495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025495, s2 = 11291752, int(edited[s2]) = 0 s1 = 14025495, s2 = 11291752, d1 = 2, d2 = 0 Dl.O(d1) = 9163217,256909995,268395721,255872887,37813501,47735735,59134281,71872331,85456992,258100055,59134678 Dl.O(d2) = 37813922,37813921,47735734,47735735,59134280,59134282,258099989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025495, s2 = 11291752, dlinesl.size( ) = 2 s1 = 14025495, s2 = 11291752, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14025495, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 10377091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13989243, s2 = 11625920, int(edited[s2]) = 0 s1 = 13989243, s2 = 11625920, d1 = 54, d2 = 49 Dl.O(d1) = 242658275,242658276,242981793,243284293,267280147,274995686,267325676,267327505,267302880,267251724,274954153,274969614,242658294 Dl.O(d2) = 243566960,267251726,242981803,267304701,244510135,244706581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13989243, s2 = 11625920, dlinesl.size( ) = 38 s1 = 14076677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14076677, s2 = 6980749, int(edited[s2]) = 0 s1 = 14076677, s2 = 6980749, d1 = 155, d2 = 109 Dl.O(d1) = 255502666,17279622,15283242,10548924,6957162,6957161,10548919,6959819,6959820,10552442,6959704,4372776,4372777,6959708,5196693,5196694,8111408,10565406,15055623,13527645,13527646,15259230,10527735,6943202,6943201,4363540,4363545,6943333,4370178,2620967,2620970,4375537,4375535,5964669,5964673,6964294,4375356,4375354 Dl.O(d2) = 260907172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14076677, s2 = 6980749, dlinesl.size( ) = 44 s1 = 11662214, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10378675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10378675, s2 = 12639672, int(edited[s2]) = 0 s1 = 10378675, s2 = 12639672, d1 = 27, d2 = 41 Dl.O(d1) = 255996656 Dl.O(d2) = 38009054,30755109,23332556,23332557,30755112,37033133,37913554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10378675, s2 = 12639672, dlinesl.size( ) = 16 s1 = 14130811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130811, s2 = 11201674, int(edited[s2]) = 0 s1 = 14130811, s2 = 11201674, d1 = 3, d2 = 0 Dl.O(d1) = 263537325,176040404,165350220,153561197,140887006,127531612,113659962,99646011,85696897,72110755,59377891,47987587 Dl.O(d2) = 52394867,47987626,47987622,38074798,29510463,29510462,38074795,47987619,59377919,50989683,256202194,32083021,40854999,50989687,62611692,75549509,259573287,117519378,106460378,96080138,82041620,68517891,68517890,56352399,45300220,45300218,36000535,35795355,27544435,27325456,20378913,14626143,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260891,260887,463047,818876,1443124,2492309,1439149,1439144,2492323,2482187,2482182,4152009,6631565,10098343,14682703,18673172,25243064,27801844,36165509,27790578,27790581,36165521,45916056,57163970,57520401,46205997,36376514,36376513,46205992,57520388,70186969,64661030,52748483,52748484,64661010,77850211,91774356,84745762,258054871,47076971,37182583,28662393,21417206,21417211,21417331,15427221,15427220,21417328,25501980,33256243,42223634,46041490,56090286,45096526,45096528,46195584,45368337,35783150,35783147,45157294,35638301,35638300,45157279,56170249,56170248,68408627,57202961,57202962,56626407,45950947,45950944,56555869,56555871,56933676,56933675,57383433,257985259,79206674,79206675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130811, s2 = 11201674, dlinesl.size( ) = 2 s1 = 14130811, s2 = 11201674, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14130811, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11662262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120889, s2 = 11101376, int(edited[s2]) = 0 s1 = 14120889, s2 = 11101376, d1 = 8, d2 = 0 Dl.O(d1) = 261948570,119210330 Dl.O(d2) = 105018326,259003474,52029936,256618583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120889, s2 = 11101376, dlinesl.size( ) = 2 s1 = 14120889, s2 = 11101376, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14120889, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10380196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10380196, s2 = 11262606, int(edited[s2]) = 0 s1 = 10380196, s2 = 11262606, d1 = 28, d2 = 25 Dl.O(d1) = 135197225,135197224 Dl.O(d2) = 260284258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10380196, s2 = 11262606, dlinesl.size( ) = 26 s1 = 14115629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10381204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10381204, s2 = 11253886, int(edited[s2]) = 0 s1 = 10381204, s2 = 11253886, d1 = 16, d2 = 0 Dl.O(d1) = 264728647,200322540,193153558 Dl.O(d2) = 164453286,262329350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10381204, s2 = 11253886, dlinesl.size( ) = 20 s1 = 15284415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10381538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10381991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10381963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10382344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11662434, s2 = 11454578, int(edited[s2]) = 0 s1 = 11662434, s2 = 11454578, d1 = 8, d2 = 2 Dl.O(d1) = 265408992 Dl.O(d2) = 219149483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11662434, s2 = 11454578, dlinesl.size( ) = 2 s1 = 11662434, s2 = 11454578, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11662434, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 10382565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10382565, s2 = 11269856, int(edited[s2]) = 0 s1 = 10382565, s2 = 11269856, d1 = 9, d2 = 6 Dl.O(d1) = 259840534 Dl.O(d2) = 126799453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10382565, s2 = 11269856, dlinesl.size( ) = 2 s1 = 10382565, s2 = 11269856, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10382565, Dl.E( ) = 34, 1.48e-05 seconds used appending s1 = 10382626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10382626, s2 = 11400446, int(edited[s2]) = 0 s1 = 10382626, s2 = 11400446, d1 = 8, d2 = 12 Dl.O(d1) = 231439114,230020027,228420013,274409348,219301170,215984728,215984727,219301168,265870039,228420006,265863530,265569251 Dl.O(d2) = 265388452,215984724,264757360,264215322,263541468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10382626, s2 = 11400446, dlinesl.size( ) = 10 s1 = 14149063, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10382781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10382781, s2 = 11085426, int(edited[s2]) = 0 s1 = 10382781, s2 = 11085426, d1 = 1, d2 = 0 Dl.O(d1) = 30861766 Dl.O(d2) = 17155013,12058403,8107583,5194448,3169489,254179469,1059113,1855640,3169493,5194458,8107595,12058427,17155032,23431565,255179083,8375310,5405249,5405248,8375308,12243270,8268486,5335141,5335140,254301239,1318044,751983,427186,427188,751994,1318062,2272782,3794300,6058160,6058162,8115702,5199365,3172029,3172032,5199375,8115724,12063260,8111266,8111264,12063252,8582987,8582989,8582979,8582980,12403783,17575647,17268195,13504646,13504647,15474711,21477203,17149268,12052742,11914466,11914467,13500809,11914376,7969835,5071092,3074487,1793570,1023145,576522,576520,752376,1316503,1316507,1315926,750998,751001,1316005,2268730,3786779,6051460,9239754,256135655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10382781, s2 = 11085426, dlinesl.size( ) = 2 s1 = 10382781, s2 = 11085426, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10382781, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10383035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15192419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15192419, s2 = 13365278, int(edited[s2]) = 0 s1 = 15192419, s2 = 13365278, d1 = 15, d2 = 18 Dl.O(d1) = 256291121,32967381,41906807,52244104,64091653,77235961 Dl.O(d2) = 141012783,141012784,127683874,113816368,99802785,85850800,258130535,38229011,29662535,22309896,16162873,16162872,22309893,29662530,38229003,29821430,22454042,16285034,16285035,17041967,23302270,30719574,26094535,19405235,19405236,26094538,33927767,42981320,46904055,37026561,37026562,46904057,58269663,52396249,42052225,33103213,33103214,42052228,52396252,49220328,49220327,49405554,50514344,57745015,46394524,36533877,36533876,46394522,57745010,70439895,62005859,50514420,40479360,31784990,24272178,24272179,31784993,268461706,37390931,37390932,47300142,58690801,71423740,60806085,53004204,53004205,64978988,62694146,62694147,75638418,89399584,103493854,260156846,102437072,88434923,74802363,74802364,88434924,85403604,71814788,71814787,84461114,88434832,258505428,98370364,85403618,71814801,71814802,71814805,74802256,74802257,86894993,100874474,86894995,86894994,100874476,100874489,99347227,85403595,71814781,71814782,85403597,84461106,84461105,257886262,71814790,270311581,59073313,71814810,85403635,99347256,86894997,81265014,67796945,55455014,55455013,49141081,39214321,30617476,30617477,39214322,49141083,60540863,73284526,86894999,100362897,86406597,86406598,74802302,65475624,65475623,74802238,62005609,62005610,64261881,257193123,33113980,33113981,42062891,42062890,52406612,49220383,42062948,41304387,41304388,39476617,30872655,23443698,17169220,17169221,23443702,30872661,39476627,31784753,31784752,33767301,38647040,38647041,37506361,37506362,41412084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15192419, s2 = 13365278, dlinesl.size( ) = 20 s1 = 14129583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14129583, s2 = 11145282, int(edited[s2]) = 0 s1 = 14129583, s2 = 11145282, d1 = 11, d2 = 10 Dl.O(d1) = 261138506,170799945,170799946,180927621 Dl.O(d2) = 272375355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129583, s2 = 11145282, dlinesl.size( ) = 14 s1 = 10384275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10384275, s2 = 14157604, int(edited[s2]) = 0 s1 = 10384275, s2 = 14157604, d1 = 1, d2 = 5 Dl.O(d1) = 267715663 Dl.O(d2) = 247964096,267716307,275097532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10384275, s2 = 14157604, dlinesl.size( ) = 12 s1 = 10384681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14850139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14850139, s2 = 11187286, int(edited[s2]) = 0 s1 = 14850139, s2 = 11187286, d1 = 0, d2 = 11 Dl.O(d1) = 5571220 Dl.O(d2) = 256549291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14850139, s2 = 11187286, dlinesl.size( ) = 14 s1 = 10384940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10384940, s2 = 11085002, int(edited[s2]) = 0 s1 = 10384940, s2 = 11085002, d1 = 24, d2 = 23 Dl.O(d1) = 27190956,23078300,16826185 Dl.O(d2) = 3918935,2345854,1358844,774579,774578,1358842,2345848,3918923,4985763,7855479,11766097,16826064,23078154,20176304,20176305,27056106,20172164,20172166,27066534,23079662,16827438,11767192,7856262,4986289,3011733,3011734,4100333,6544799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10384940, s2 = 11085002, dlinesl.size( ) = 24 s1 = 14082825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14082825, s2 = 10994408, int(edited[s2]) = 0 s1 = 14082825, s2 = 10994408, d1 = 53, d2 = 51 Dl.O(d1) = 85908974,99864464,113883442 Dl.O(d2) = 35368918,27245024,21143719,21143717,27244973,27244960,27244959,27182832,20260193,14536321,10001566,6572719,4117221,4117222,6572725,10001583,11949437,11949438,17034985,20260225,15593155,10787067,10787063,15593145,17453414,23783658,28112042,20935280,15027145,10354977,10354978,15027150,15593504,15593503,18212545,24677564,19034741,19034740,15388437,11516860,7661024,7661026,11516865,267958248,268001684,20186742,14483530,9965278,6549518,4103136,4103135,6549515,9965271,14483520,12097795,10051760,10051759,14607997,13308888,13308886,254487122,16519015,11512343,11512342,16519014,21622707,18678833,18678832,25234423,25234424,22464917,22464918,16515654,11509987,7656836,7656835,4844860,4844859,254219772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14082825, s2 = 10994408, dlinesl.size( ) = 60 s1 = 10385433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10385785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10385785, s2 = 14146319, int(edited[s2]) = 0 s1 = 10385785, s2 = 14146319, d1 = 10, d2 = 16 Dl.O(d1) = 255752907 Dl.O(d2) = 274664248,210735425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10385785, s2 = 14146319, dlinesl.size( ) = 14 s1 = 10385824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10385824, s2 = 7993087, int(edited[s2]) = 0 s1 = 10385824, s2 = 7993087, d1 = 66, d2 = 9 Dl.O(d1) = 165569361,153787716,141114351,260675012,99861940,85906215,85906214,99861939,113881019,127756772,141114348,153787709,262719429,185700193,263549551,185700194,263904559 Dl.O(d2) = 144643025,131420521,131420520,117619676,103489280,270271350,257385534,24559973,18121336,12849327,8737730,5688355,3538572,3538570,5688350,8737720,12849270,12849272,11218046,7443428,7443426,11218037,16147256,22291757,24582155,18138718,18138719,24582163,25550458,18937975,18937977,25550465,24542889,24542887,31328248,31328247,40006327,256904926,40787571,32030641,24468319,24468320,18048391,18048392,24468328,31145669,30192669,22802453,16585370,16585368,22802448,30192657,256576941,51032753,259576645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10385824, s2 = 7993087, dlinesl.size( ) = 48 s1 = 14151761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14151761, s2 = 13929073, int(edited[s2]) = 0 s1 = 14151761, s2 = 13929073, d1 = 10, d2 = 2 Dl.O(d1) = 240837387,266938608,240343796,240633171,240633176,240633175,266985932,240343791,239812594,239812595,240343793,240633161,240125526,240125525,240633160,240125552,239578080,239578079,240125550,240633184,240633170,240125540,240125539,240125529,239578063,238985817,238341709 Dl.O(d2) = 267094649,267054685,241103864,266918005,239578071,239578066,238985819,238985818,238985824,238341714,238341713,238341706,237634178,266680939,238985815,239578060,240125525,240633159,267054683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14151761, s2 = 13929073, dlinesl.size( ) = 2 s1 = 14151761, s2 = 13929073, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14151761, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10386509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10386773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10386773, s2 = 9138107, int(edited[s2]) = 0 s1 = 10386773, s2 = 9138107, d1 = 69, d2 = 70 Dl.O(d1) = 28659858,28659857,268919377,28659851,28659850,37179188,37179195,28659855,28659856,37179191,28659853,21415297,15425687,10663950,10663949,255402547,15425692,15425691 Dl.O(d2) = 51693846,41443606,32577076,24920269,18411788,13077548,13077549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10386773, s2 = 9138107, dlinesl.size( ) = 2 s1 = 10386773, s2 = 9138107, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10386773, Dl.E( ) = 72, 2.1e-05 seconds used appending s1 = 10386826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10386842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10387176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10387176, s2 = 11055950, int(edited[s2]) = 0 s1 = 10387176, s2 = 11055950, d1 = 12, d2 = 2 Dl.O(d1) = 256336334 Dl.O(d2) = 16933604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10387176, s2 = 11055950, dlinesl.size( ) = 14 s1 = 10387848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11662712, s2 = 11284766, int(edited[s2]) = 0 s1 = 11662712, s2 = 11284766, d1 = 10, d2 = 16 Dl.O(d1) = 38583042,37747788,36818970,28323549,28323548,36818967,46701500,58073524,61269596,61269592,55415281,55415282,61269617,49790738,39770967,39770966,49148621,39221978,39221977,39222050,39222051,49148710,60548142,64972598,52997642,42557730,42557729,52997638,60548162,60548163,65203851,53217917,42768253,42768252,53217914,52043255,41728402,41728401,51363047,41176866,32361026,24744674,18271505,12967657,8826340,8826339,12967652 Dl.O(d2) = 32361098,41176955,39222070,39222069,49148727,49790693,49790692,49148670,39222033,30624367,23202080,16932383,11850709,7920531,7920530,11850705,16932369,23202056,30624326,39221973,49148613,60548006,59282838,47886365,37967967,29403912,25931645,25931646,25931634,25931633,32361088,32361087,41176947,51363023,41176850,41176851,51363011,41176836,41176835,51363005,51362980,51362979,41176895,32361049,24744695,18271516,18271517,24744700,32361061,41176912,51363105,60548171,60548169,73291259,60547981,60547980,49148665,39222027,30624359,23202073,23202072,30624353,39221961,30624320,30624321,39221963,39221967,49148605,60547997,58658478,47266752,37356892,37356893,37967963,37967964,42768247,33738440,33738438,41176944,41176943,51363142,63044203,51363017,51363015,63044187,51363000,51363001,51363136,41176939,32361083,32361081,41176889,41176888,41176907,32361056,32361055,41176902,51363088,63044250,73291425,73291424,73291290,73291289,73291357,60548066,49148661,39222021,30624349,30624348,39222017,41176899,39221959,39221958,49148591,49148600,60547994,73291271,71393464,58658472,58658473,71393469,65203854,53217928,53217905,53217903,53217900,53217899,63044290,76027105,76027049,63044235,63044234,76027046,89803883,76027100,63044283,51363128,41176929,41176928,51363068,51363070,51363093,51363095,51363083,51363084,63044245,76027063,89803900,89803919,86901568,86901567,73291361,73291344,60548047,49148651,39222010,39222011,49148653,51363132,49148584,49148585,60547976,60547990,73291265,86901561,84968191,71393456,71393457,84968196,92528612,106840165,106840134,92528595,92528596,106840138,121099652,134900996,142189218,128832213,118046596,103904904,103904906,89803936,76027097,63044279,63044278,76027094,89803911,76027072,63044252,63044251,63044238,63044239,76027057,89803891,103904914,114932936,114932934,114932966,100881488,86901605,73291340,60548041,60548042,63044285,63044286,73291250,60547970,60547971,73291253,86901550,86901615,100881450,98893901,98893900,98893908,98893907,112881713,118046630,118046629,106840127,106840128,121099645,128728131,142086648,150391741,142086658,131871046,118046594,103904933,103904932,89803925,76027091,76027090,89803922,103904896,89803907,89803906,87826415,87826414,101800434,87826423,87826422,101800447,115846611,129745664,128832180,114932957,100881481,86901600,86901601,86901610,86901609,100881494,114932976,117546188,103416516,89323317,89323316,103416513,103416527,103416528,112881695,112881710,112881709,126733838,129745660,128832200,128832201,128728135,114828417,114828418,128255941,128255940,137350332,131871067,118046614,103904929,103904927,118046609,131871061,131871042,118046587,118046588,115846600,101800440,87826419,87826420,101800441,115846606,126202408,123617716,123617715,137350300,142189189,128832175,114932946,100881474,100881477,114932953,114932969,101800424,101800426,103416519,89323320,75565478,75565479,89323325,89323334,89323335,103416531,115846583,115846582,129745650,128728120,114828412,114828411,101760933,87787919,87787920,101760936,115807181,123617763,128665840,128665839,118046605,118046607,131871058,142028058,128832187,114932972,114932974,128832191,115807218,101760971,101760969,115807215,112341869,112341868,126202415,139577613,143036981,129706083,115807200,101760955,87787940,87787939,87787932,87787933,87826412,87826413,89323330,75565486,62626715,62626707,62626708,62626724,75565491,89323338,101800414,101800415,100776455,86795657,86795658,86795662,86795664,74183704,74183703,87787922,95167377,109423753,114765472,100716504,100716506,114765479,114765462,114765463,128665828,142028060,137350312,123617726,109423704,109423703,112341878,98359288,98359287,112341875,126202422,137350322,129706087,115807205,101760958,87787945,74183718,61403868,61403867,61441518,61441519,74221370,73600493,62626721,51003951,40869058,40869059,51003954,61441512,61441511,74221361,87826404,258817531,60436058,60436059,60436074,60436075,73183160,86795683,100776480,100776487,100716510,86740864,84449599,84449598,86740858,100716495,114765466,128665831,123617772,109423761,109423760,103887984,89786490,89786491,103887987,118030562,123617747,109423726,109423725,114379189,109423755,95167381,81108776,67642406,67642407,77304937,64156616,52305109,52305111,60850936,49924355,39946329,31271472,31271470,39946324,49963272,46931460,46931458,58297500,49032020,39102685,30506180,30506182,39102691,49032031,60436079,73183168,86795695,86740869,73133969,60392784,60392782,73133965,86740861,100716502,114765470,128665836,118030569,103887992,89786494,76009243,76009245,86795675,86795671,86795670,86398535,86398534,100355297,101836982,87864229,87864230,77304947,64156622,52305114,41964663,33021904,33021905,41964665,39946333,31271474,23785964,23785965,25752913,25752912,28552948,37053134,46931465,58297509,71012849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11662712, s2 = 11284766, dlinesl.size( ) = 2 s1 = 11662712, s2 = 11284766, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11662712, Dl.E( ) = 18, 1.41e-05 seconds used appending s1 = 10388184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092819, s2 = 10388190, int(edited[s2]) = 0 s1 = 14092819, s2 = 10388190, d1 = 9, d2 = 3 Dl.O(d1) = 91320750 Dl.O(d2) = 33103830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092819, s2 = 10388190, dlinesl.size( ) = 50 s1 = 11662754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10388717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10388717, s2 = 14055196, int(edited[s2]) = 0 s1 = 10388717, s2 = 14055196, d1 = 4, d2 = 9 Dl.O(d1) = 33860157 Dl.O(d2) = 8946103,8946100,13125795,18475411,25000950,32679014,32679622,25138989,25138988,32844521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10388717, s2 = 14055196, dlinesl.size( ) = 12 s1 = 10388730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10388730, s2 = 16326152, int(edited[s2]) = 0 s1 = 10388730, s2 = 16326152, d1 = 50, d2 = 71 Dl.O(d1) = 221183528 Dl.O(d2) = 24539933,32117566,40891463,51028963,62654962,258949573,99074940,260552197,260191809,99074943,85150812,85150813,99074944,259333059,71582344,71582343,85150809,85150807,71582341,58858023,269791453,71582346,58858025,47475075,37569288,256640462,15685307,21733516,29022803,37569289,46397612,268283914,24809263,18320736,18320735,24809262,25493456,21404749,15417333,15417335,21404751,28646564,27151742,27151741,35250131,255632120,27151739,20241046,14524284,9993780,9993781,14524289,255755829,22169031,22169030,29509948,35250096,27151715,20241026,14524273,14524271,20241022,27151710,30813922,39419066,49348551,44634508,41858885,32928328,32928327,254900396,18694835,25266591,32990442,41931107,47053685,37162913,37162914,35236539,35236540,44618716,44634507,35250116,27151727,20241040,14524281,255338663,27151726,35250114,44634512,53371242,42905183,42905181,49347433,39417930,39417929,49347431,46798415,46798414,55484549,50338723,40312835,40312837,50338725,61821933,65315167,53315269,53315268,65315165,61971715,61971714,60643851,49243063,39316015,30717647,23300338,23300337,256477371,49243055,257501704,39316037,30717660,268661743,49243084,60643868,73390593,268426224,60818688,256379270,60643859,52931840,42520871,33520649,29410323,22079910,15974413,15974412,22079906,29410316,37973723,40229817,40229818,50249678,61728263,71542130,85113664,72093585,59360024,47969011,38055806,29491785,22152853,22152855,19234361,19234362,25894026,33700078,42729891,53179300,65163972,78446865,257213322,121047367,134847313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10388730, s2 = 16326152, dlinesl.size( ) = 8 s1 = 10389001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15032977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10389276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10389276, s2 = 13913859, int(edited[s2]) = 0 s1 = 10389276, s2 = 13913859, d1 = 16, d2 = 18 Dl.O(d1) = 266042349 Dl.O(d2) = 266160503,233081287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10389276, s2 = 13913859, dlinesl.size( ) = 24 s1 = 13989701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13989701, s2 = 6540282, int(edited[s2]) = 0 s1 = 13989701, s2 = 6540282, d1 = 7, d2 = 10 Dl.O(d1) = 99305064 Dl.O(d2) = 255744001,18139444,18139443,24583092,32168931,33951800,29088678,21790929,15732748,15732747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13989701, s2 = 6540282, dlinesl.size( ) = 2 s1 = 13989701, s2 = 6540282, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13989701, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 15032085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15032085, s2 = 11608678, int(edited[s2]) = 0 s1 = 15032085, s2 = 11608678, d1 = 13, d2 = 21 Dl.O(d1) = 266576289,266720307 Dl.O(d2) = 266947363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15032085, s2 = 11608678, dlinesl.size( ) = 26 s1 = 11662846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020723, s2 = 11126518, int(edited[s2]) = 0 s1 = 14020723, s2 = 11126518, d1 = 22, d2 = 13 Dl.O(d1) = 254195810,9020057,254622158,25169505,255604344,52113707 Dl.O(d2) = 256058492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020723, s2 = 11126518, dlinesl.size( ) = 24 s1 = 10389937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10390480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14119547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119547, s2 = 11497390, int(edited[s2]) = 0 s1 = 14119547, s2 = 11497390, d1 = 25, d2 = 20 Dl.O(d1) = 176516289,185946242,194167497,263307534 Dl.O(d2) = 264999995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119547, s2 = 11497390, dlinesl.size( ) = 26 s1 = 11662938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10390930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10391079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10391199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10391199, s2 = 11623194, int(edited[s2]) = 0 s1 = 10391199, s2 = 11623194, d1 = 36, d2 = 0 Dl.O(d1) = 246794564 Dl.O(d2) = 243450597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10391199, s2 = 11623194, dlinesl.size( ) = 36 s1 = 10391528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10391697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10391697, s2 = 12034009, int(edited[s2]) = 0 s1 = 10391697, s2 = 12034009, d1 = 0, d2 = 9 Dl.O(d1) = 164499199 Dl.O(d2) = 206400689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10391697, s2 = 12034009, dlinesl.size( ) = 22 s1 = 13989783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10392341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053111, s2 = 11277764, int(edited[s2]) = 0 s1 = 14053111, s2 = 11277764, d1 = 31, d2 = 2 Dl.O(d1) = 258282651,259529505,116339306,130179182 Dl.O(d2) = 131496023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053111, s2 = 11277764, dlinesl.size( ) = 32 s1 = 10392543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10392767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10392767, s2 = 11521122, int(edited[s2]) = 0 s1 = 10392767, s2 = 11521122, d1 = 2, d2 = 21 Dl.O(d1) = 204477137 Dl.O(d2) = 225654574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10392767, s2 = 11521122, dlinesl.size( ) = 28 s1 = 10392902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10392902, s2 = 5815265, int(edited[s2]) = 0 s1 = 10392902, s2 = 5815265, d1 = 33, d2 = 32 Dl.O(d1) = 258093386 Dl.O(d2) = 235004811,235004814,235004815,235950120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10392902, s2 = 5815265, dlinesl.size( ) = 26 s1 = 10392921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10392921, s2 = 14883715, int(edited[s2]) = 0 s1 = 10392921, s2 = 14883715, d1 = 1, d2 = 2 Dl.O(d1) = 3856869,2310700,1340585,1340587,1350456,1350459,771654,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964 Dl.O(d2) = 441965,779087,1346456,778570,778572,1366941,2360876,3880118,3880116,6163768,6163770,9407652,255285639,13826337,9482503,9482502,13826336,19334715,26008560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10392921, s2 = 14883715, dlinesl.size( ) = 2 s1 = 10392921, s2 = 14883715, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10392921, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 14057939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057939, s2 = 14112788, int(edited[s2]) = 0 s1 = 14057939, s2 = 14112788, d1 = 1, d2 = 5 Dl.O(d1) = 47550582 Dl.O(d2) = 193491482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057939, s2 = 14112788, dlinesl.size( ) = 2 s1 = 14057939, s2 = 14112788, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14057939, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 10393254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10393262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10393593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10393907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10393907, s2 = 11099658, int(edited[s2]) = 0 s1 = 10393907, s2 = 11099658, d1 = 5, d2 = 9 Dl.O(d1) = 254075934,2722838,2722837,2723045,267765177,897220,1577984 Dl.O(d2) = 2723029,2723027,4529906,7190294,10875255,255860809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10393907, s2 = 11099658, dlinesl.size( ) = 10 s1 = 10393990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040499, s2 = 14874566, int(edited[s2]) = 0 s1 = 14040499, s2 = 14874566, d1 = 13, d2 = 10 Dl.O(d1) = 19600421,19600422,19600278,19600277,254311580,267942144,9469167,13807954,19242474,19242473,25667997,25667996,19241722,19241723,19431192,25753939,19239235,13745608,9420424,6172481,3862272,2313662,2313658,3862171,3862016 Dl.O(d2) = 3862013,2415691,2415694,4031209,6425595,9772735,14215525,19842564,26656443,34647685,43920783,54663336,66920033,66920035,54663338,54663339,65935634,65935633,79298296,93426153,107850227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040499, s2 = 14874566, dlinesl.size( ) = 10 s1 = 14874565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10394372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10394372, s2 = 10394369, int(edited[s2]) = 0 s1 = 10394372, s2 = 10394369, d1 = 16, d2 = 22 Dl.O(d1) = 262303561 Dl.O(d2) = 260671835,261246681,261792649,260671831,100972889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 10394368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10394661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10394661, s2 = 8925764, int(edited[s2]) = 0 s1 = 10394661, s2 = 8925764, d1 = 1, d2 = 9 Dl.O(d1) = 165318799 Dl.O(d2) = 230682650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10394661, s2 = 8925764, dlinesl.size( ) = 2 s1 = 10394661, s2 = 8925764, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10394661, Dl.E( ) = 86, 2.31e-05 seconds used appending s1 = 10395298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10395317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14026511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14026511, s2 = 11517798, int(edited[s2]) = 0 s1 = 14026511, s2 = 11517798, d1 = 40, d2 = 29 Dl.O(d1) = 6985791,254728949,12414270,17587382,17587381,14502935,9979635,9979634,12360812,12360811,17526968,20209896,14502179,9979088,6558951,6558950,9979084,14502170,20209879,21278865,21278864,20211566,14503387,9979915,6559486,4109427,4109429,6559492,9979929,14503410,17587367,17587364,12414143,8390490,5414399,5414397,8390484,12413774,12413772,17586819,23928512,256527871,38020839,29458977,256382677,47934551,59326199,72060500,258340826,59326199,72060501,270317253,260581993,140845257 Dl.O(d2) = 264753373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14026511, s2 = 11517798, dlinesl.size( ) = 36 s1 = 15107841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15107841, s2 = 11206432, int(edited[s2]) = 0 s1 = 15107841, s2 = 11206432, d1 = 9, d2 = 1 Dl.O(d1) = 52391100,42047058,42047059,52391103,64246876,77397388,91316180,87809946,74206760,61428283 Dl.O(d2) = 33098830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15107841, s2 = 11206432, dlinesl.size( ) = 36 s1 = 10396472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10396486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10396840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14019883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14019883, s2 = 2501349, int(edited[s2]) = 0 s1 = 14019883, s2 = 2501349, d1 = 47, d2 = 18 Dl.O(d1) = 254226232,254077923,84148 Dl.O(d2) = 71297414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14019883, s2 = 2501349, dlinesl.size( ) = 26 s1 = 10397252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10397513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10397513, s2 = 11180470, int(edited[s2]) = 0 s1 = 10397513, s2 = 11180470, d1 = 37, d2 = 35 Dl.O(d1) = 27029825,27029824,26645975,26645402,19832116,14207332,9766766,6421483,6421484,9766729,14207297,19832645,19832528,14207159,14207084,11124845,11124846,14206605,9766217,9766216,14206602,9766570,9766571,7378866,4661665,2808427,1629238,1629236,2808424,4028508,6421465,9766445,6421289,6421291,9766450,14206905,19832239,19832210,14206874,9766434,6421285,6421284,9766430,14206887,11124821,11124820,16022595,22139713,26645395,255315435,9766371,6421251,6421252,9766375,14206803,19832111,14207143,14207142,19832513,18050601,12796388,8699986,8699987,10634074,7019742,7019741,10634070,14206710,9766289,6421197,4028372,2413940,1397297,1397296,254313331 Dl.O(d2) = 24341865,17951204,12805429,255214661,256062395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10397513, s2 = 11180470, dlinesl.size( ) = 34 s1 = 10397566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11663404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11663404, s2 = 11614966, int(edited[s2]) = 0 s1 = 11663404, s2 = 11614966, d1 = 6, d2 = 0 Dl.O(d1) = 243503184,243770284,243770282 Dl.O(d2) = 241843596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11663404, s2 = 11614966, dlinesl.size( ) = 14 s1 = 10398047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11663430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10398273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10398273, s2 = 11554926, int(edited[s2]) = 0 s1 = 10398273, s2 = 11554926, d1 = 0, d2 = 13 Dl.O(d1) = 223242802 Dl.O(d2) = 227451548,227451549,225493332,265642097,229164519,230677822,232025961,231509090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10398273, s2 = 11554926, dlinesl.size( ) = 16 s1 = 13990137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10398393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10398393, s2 = 11323622, int(edited[s2]) = 0 s1 = 10398393, s2 = 11323622, d1 = 6, d2 = 13 Dl.O(d1) = 114823901 Dl.O(d2) = 154722190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10398393, s2 = 11323622, dlinesl.size( ) = 14 s1 = 10398477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10398477, s2 = 10978770, int(edited[s2]) = 0 s1 = 10398477, s2 = 10978770, d1 = 10, d2 = 4 Dl.O(d1) = 10820239,15636014,21673752,26167499,34009179,42282586,34009197,30802247,23374685,23374684,30802254,34617018,32839078,25133808,25133809,25132861,18579605,13203632,13203633,18579613,18580412,23672202,25470088,18869941,18869938,21673809,18580077,13203900,9001156,5876461,3669138,3669134,5876466,9001169,13203592,18579532,25132753,26161125,30039291,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463488,15171555,19037213,19037212,25655812,28910048,28910053,33092908,25359618,19043478 Dl.O(d2) = 1341721,2312837,3860682,6169151,6169153,6258389,9539602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10398477, s2 = 10978770, dlinesl.size( ) = 12 s1 = 14091313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10398502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110931, s2 = 11517760, int(edited[s2]) = 0 s1 = 14110931, s2 = 11517760, d1 = 10, d2 = 17 Dl.O(d1) = 262181807 Dl.O(d2) = 215516165,264965575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110931, s2 = 11517760, dlinesl.size( ) = 2 s1 = 14110931, s2 = 11517760, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14110931, Dl.E( ) = 28, 3.19e-05 seconds used appending s1 = 14034397, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10399656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10399656, s2 = 11351236, int(edited[s2]) = 0 s1 = 10399656, s2 = 11351236, d1 = 0, d2 = 0 Dl.O(d1) = 205506375,263468822,183332519,173532461,162495626,150363047,137322333,137322334,150363049,162495630,173532462,183332520,191900432,199270645,205506376,205506377,210664863,214878804,214878801,210664861,205506373,199270642,191900429,183332517,173532459,162495625,162495624 Dl.O(d2) = 205506375,263468822,183332519,173532461,162495626,150363047,137322333,137322334,150363049,162495630,173532462,183332520,191900432,199270645,205506376,205506377,210664863,214878804,214878801,210664861,205506373,199270642,191900429,183332517,173532459,162495625,162495624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10399656, s2 = 11351236, dlinesl.size( ) = 2 s1 = 10399656, s2 = 11351236, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10399656, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10399764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10400378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10400421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10400421, s2 = 11630214, int(edited[s2]) = 0 s1 = 10400421, s2 = 11630214, d1 = 67, d2 = 33 Dl.O(d1) = 244544144,267409687,245400525 Dl.O(d2) = 245250830,245250832,245250831 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14067207, s2 = 11056218, int(edited[s2]) = 0 s1 = 14067207, s2 = 11056218, d1 = 19, d2 = 32 Dl.O(d1) = 48410900 Dl.O(d2) = 37430558,28888889,21612969,15583774,255044839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067207, s2 = 11056218, dlinesl.size( ) = 44 s1 = 14147203, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14151289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14018853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153569, s2 = 14139498, int(edited[s2]) = 0 s1 = 14153569, s2 = 14139498, d1 = 38, d2 = 16 Dl.O(d1) = 242674274,266968160,241116903,266748648,239832875,239832876,239592636,274799251,236022975 Dl.O(d2) = 265242569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153569, s2 = 14139498, dlinesl.size( ) = 34 s1 = 10403024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10403795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10403907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10403907, s2 = 11332324, int(edited[s2]) = 0 s1 = 10403907, s2 = 11332324, d1 = 7, d2 = 0 Dl.O(d1) = 133767136 Dl.O(d2) = 91430341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10403907, s2 = 11332324, dlinesl.size( ) = 16 s1 = 11663840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120737, s2 = 11074570, int(edited[s2]) = 0 s1 = 14120737, s2 = 11074570, d1 = 20, d2 = 34 Dl.O(d1) = 169020001 Dl.O(d2) = 256080981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120737, s2 = 11074570, dlinesl.size( ) = 68 s1 = 10405336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11663960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10406759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13990485, s2 = 10406961, int(edited[s2]) = 0 s1 = 13990485, s2 = 10406961, d1 = 45, d2 = 43 Dl.O(d1) = 141134397,141134398 Dl.O(d2) = 263905569 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10406960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10407431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10407931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10408016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14089467, s2 = 11520480, int(edited[s2]) = 0 s1 = 14089467, s2 = 11520480, d1 = 17, d2 = 9 Dl.O(d1) = 99529805,113541103 Dl.O(d2) = 264751677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14089467, s2 = 11520480, dlinesl.size( ) = 20 s1 = 10408876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10408973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10408973, s2 = 10408954, int(edited[s2]) = 0 s1 = 10408973, s2 = 10408954, d1 = 16, d2 = 6 Dl.O(d1) = 260747316,112603296,98607984,84683080,71118666,58400975,47029024,47008258,37121716,28611169,21375902,15394505,15394504,21375900,255732438,29284504,21958899,15866430,15866431,255732436,37852627,30451900,30451898,39041299,48962580,47775779,268331188,35075980,35075981,268814444,47775780,58328253,71043682,71043692,84607516,88614787,74972781,74972782,85120789,98274636,84607509,257890990,58821922,58821923,257401688,99045658,105104029,257292662,73096032,60357820,60357821,55295400,268199284,84658218,77042681,63930052,52110475,52110474,63930048,63930049,73470217,60721809,49319505,49319506,60721811,73470220,269418870,77042722,70729427,70698631,57980732,46603578,36715436,36715435,46603576,36836298,36836299,46718944,55697040,68094518,256563018,52110510,58090777,46718982,36836323,36836324,46718986,44789754,35365412,255375454,20311235,27242052,25167007,18609064,18609063,255208662,41796059,46718971,46718970,58090758,70807541,58090745,58090734,58090735,70807529,71410630,71410629,84507743,70944060,58226910,58226911,58676546,267977626,37375815,47285329,58676543,71410632,84366154,70944065,58226913,58090729,58090728,47211443,47211442,58601298,71333592,84905870,71333561,58601257,47211389,47211388,58601255,47211426,47211427,58601242,47211374,37304751,37304752,47211376,58601244,255841386,47211249,47211248,47211431,37304800,37304801,47211383,58601250,71333553,58601302,58601303,256333228,258065086,84905926,84905925,71333566,71333567,84905872,71333450,58601122,47211267,37304668,37304667,47211266,268616444,268386204,47211380,37304754,28771325,28771324,37304753,47211367,37315154,28779538,28779539,37315156,47211399,37304766,28771341,21510247,21510248,28771343,21510273,15501016,15501013,21510269,21510210,15500965,15500966,21510213,28771270,37304655,47211225,47211448,37304824,37304826,47211419,47211452,37304832,28771386,21510278,15501018,10719947,7082318,4458985,2678698,2678696,4458983,7082314,10719939,15501007,21510256,28771353,37304653,47211252,47211234,37304637,28771253,21510204,15500962,10719916,10719915,15500959,21510200,28771246,21510245,21510244,28771337,37304777,47211409,47211424,47211230,37304629,37304628,255409332,37304684,255039932,37304787,47211281,58601140,256333200,256333224,255409354,255409334,37315125,28779515,28771235,21510194,15500956,15500955,21510191,254737176,47211196,255841374,71333459,58601136,58601135,255841390,47211285,47211284,37304728,28771310,21510233,21510231,28771308,37304725,47211346,255409372,256333196,58601067,47211195 Dl.O(d2) = 12306863,17457339,23788393,31273959,39948755,39948754,39948810,257645135,74223400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10408973, s2 = 10408954, dlinesl.size( ) = 2 s1 = 10408973, s2 = 10408954, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10408973, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 10408953, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14044059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044059, s2 = 8451278, int(edited[s2]) = 0 s1 = 14044059, s2 = 8451278, d1 = 0, d2 = 12 Dl.O(d1) = 30295403 Dl.O(d2) = 259344283,113353640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044059, s2 = 8451278, dlinesl.size( ) = 2 s1 = 14044059, s2 = 8451278, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14044059, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 13990603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13990603, s2 = 10343956, int(edited[s2]) = 0 s1 = 13990603, s2 = 10343956, d1 = 38, d2 = 36 Dl.O(d1) = 116792677,259555883,88690834,102700053,116792675,130617548,130617525,116792649,102700031,102700033,116792654,116792664,116792663,260170325,102700090,102700093,88690860,88690859,102700091,260767341,116792684,261337699,116792691,102700069,88690846,88690847,102700071,260767345,260170325,102700090,102700093,102700092,116792710,130617575,130617541,130617540,116792686,116792685,116792691,102700069,102700068,88690858,75039868,62216646,50696460,40637142,31921410,256565049,50696456,258307423,258307425,88690844,84630810,71067488,71067489,84630813,88690845,84630814,257836806,58351169,46981732 Dl.O(d2) = 64200086,58280652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13990603, s2 = 10343956, dlinesl.size( ) = 2 s1 = 13990603, s2 = 10343956, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13990603, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 10409646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11664140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14083355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083355, s2 = 11084458, int(edited[s2]) = 0 s1 = 14083355, s2 = 11084458, d1 = 9, d2 = 13 Dl.O(d1) = 72825816,259974203,113504118,260574413,113504113,113504125,113504124,127374158,113504119,99492909,259356057,71958212,71958211,85546073,71958212,71958211,85546074,99492908,99492913,259974205,113504116,99492907,259974201,99492908 Dl.O(d2) = 99492907,85546072,71958210,257497045,37899744,29331176,268219143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083355, s2 = 11084458, dlinesl.size( ) = 8 s1 = 10409894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10409894, s2 = 10409885, int(edited[s2]) = 0 s1 = 10409894, s2 = 10409885, d1 = 25, d2 = 20 Dl.O(d1) = 49398662,60799338,73546436,87164878 Dl.O(d2) = 201792228,207634885,212452315,216391732,219658538,222417644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10409894, s2 = 10409885, dlinesl.size( ) = 12 s1 = 10409886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10410205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10410412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10410412, s2 = 13178639, int(edited[s2]) = 0 s1 = 10410412, s2 = 13178639, d1 = 25, d2 = 16 Dl.O(d1) = 176314738,259056512,141187032,127824425,113944340,256149224,72369417,59635312,48248245,38337662,29766639,24757416,24757415,32376520,38066902,29503763,29503762,38066901,43001256,33945484,26109689,19417509,13891926,9532099,6252904,3914506,3914504,2343382,1357500,1357497,2343438,3728160,3728161,5961674,3728094,2232027,2232026,3728091,5961670,9111546,255253083,25308623,25946536,19282738,19282743,24638858,24638857,32236644,32546547,32285206,25257841,22790985,18835294,18594285,17793555,16841926,13837845,13837841,11778109,11778112,9491652,9491653,9713665,14118710,18147355,18837404,13421197,13421196,18837399,18686416,13293195,13293197,18686422,25257710,20646200,20646198,25010413,20646224,20646221,19362412,19362415,18300752,18300747,24781963,32406444,27526396,20512813,14715391,14715386,14889737,10238212,10238208,14889744,20397057,20397053,20411988,14649219,10076715,6618749,4164076,4164072,6611546,6611543,4182874,2501398,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467386,35122333,27558977,27558972,35634178,35634175,36090434,27847893,27487119,27487115,32762091,27511481,20504190,14710259,12233730,8260496,8260499,12233748,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260878,260875,462992,818707,1442515,254320011,254700841,14774773,255772889 Dl.O(d2) = 13516539,13516538,9259651,8404689,5423415,3334026,1960828,1955676,1120123,1120120,1960805,3334002,3785262,3785263,3324801,3324800,5408237,8380330,12400295,15263819,10531619,9264720,9264721,13534869,18970112,25578472,20288672,17544488,12375144,12375143,10369963,10369964,13516609,9249048,6057422,3790240,2270601,2270600,3790237,6057414,9249038,13516599,18953257,25564494,31395184,23901845,17557441,267998741,5402190,5401898,3321236,2758293,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342546,8280579,8369523,12377364,12377363,10531666,8363855,8363856,11747971,11747973,13527665,12397252,8378165,8378167,12397257,10693643,7064787,4448128,4448127,7064783,5338053,3281319,3281318,3718381,5946063,9089288,13307902,18701022,20970788,20970787,25577225,22005863,15904923,11026275,11026274,15904922,18936679,13501020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10410412, s2 = 13178639, dlinesl.size( ) = 2 s1 = 10410412, s2 = 13178639, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10410412, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 14092579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10410619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10410619, s2 = 11132422, int(edited[s2]) = 0 s1 = 10410619, s2 = 11132422, d1 = 9, d2 = 7 Dl.O(d1) = 33393073,33393074,42381217,258421863,91806119,259048899,64693831 Dl.O(d2) = 255676911,19012841,13669428,13669427,19012816,13569673,13569674,254518406,13585555,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,6104903,3819827,2288488,1327725,1327727,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294199,3829305,6120409,9344143,12619081,12619083,10484812,10484813,9366419,6135162,6135161,7304486,4608979,4608981,6121981,6121982,9346601,6929135,6929134,10508021,13589886,19038057,23279425,25642663,23775904,22433810,16266079,11309204,11309205,16266083,19126463,17822733,12618863,12618865,17822737,19063431,19063432,25687262,21157788,15202066,15202065,255812407,21972919,21972918,25735540,25790832,25802179,255758875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10410619, s2 = 11132422, dlinesl.size( ) = 2 s1 = 10410619, s2 = 11132422, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10410619, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 10410967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10411112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10411112, s2 = 11636086, int(edited[s2]) = 0 s1 = 10411112, s2 = 11636086, d1 = 11, d2 = 3 Dl.O(d1) = 243483520,243752494 Dl.O(d2) = 245740389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10411112, s2 = 11636086, dlinesl.size( ) = 16 s1 = 10411262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10411644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079697, s2 = 10983826, int(edited[s2]) = 0 s1 = 14079697, s2 = 10983826, d1 = 15, d2 = 21 Dl.O(d1) = 65991796 Dl.O(d2) = 43397438,53922797,255713642,53922802,43397440,34297130,26420582,19683899,14112206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079697, s2 = 10983826, dlinesl.size( ) = 14 s1 = 10412979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10412979, s2 = 13265596, int(edited[s2]) = 0 s1 = 10412979, s2 = 13265596, d1 = 2, d2 = 7 Dl.O(d1) = 30449369,27044953,254650292,254691603,4095494,4095496,6536724,9945801,14456640,20150251,20150250,20150240,14454768,14454769,14454843,9944667,6536044,6536045,9944673,14454854,14454856,14454857,20150357,27043071,33213456,33213455,29034211,29034212,30219071,22826758,16605814,16605815,22826761,25466201,25466200,26442526,255200378,23796765,26442948,19703754,19703756 Dl.O(d2) = 24135596,20011907,20011908,267975118,26896911,22318434,22318437,17359514,17359510,14126900,14126898,9845598,9845602,11475230,16469635,22316783,20310360,20310358,23694079,23694076,26893510,20012313,15553563,14127771,9719515,9719513,14127762,16170788,11238569,7459279,7459281,11238579,16170813,17707443,16171615,16170770,14127175,14127174,17464458,16170521,15630231,15630229,12299703,8307067,8307068,9945312,14129131,9720297,9720295,12550867,17738400,255168212,18931555,18931556,254773660,21065421,21065423,28268087,21065604,15131482,10899429,10899428,15737589,15131155,15131156,15735829,21794925,21794862,255164242,21062641,15129220,15129218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10412979, s2 = 13265596, dlinesl.size( ) = 2 s1 = 10412979, s2 = 13265596, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10412979, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14059135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111611, s2 = 14059136, int(edited[s2]) = 0 s1 = 14111611, s2 = 14059136, d1 = 367, d2 = 367 Dl.O(d1) = 141421168,128052709,114163038,114163039,128052712,141421171,154094779,165863816,165863820,154094781,154094782,273359407,165863818,154094780,141421172,128052713,128052714,141421170,261742342,128052708,114163037,100129385,86163507,72565296,59829853,48443605 Dl.O(d2) = 141421168,128052709,114163038,114163039,128052712,141421171,154094779,165863816,165863820,154094781,154094782,273359407,165863818,154094780,141421172,128052713,128052714,141421170,261742342,128052708,114163037,100129385,86163507,72565296,59829853,48443605 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10413544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10413577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10413964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10414128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10414128, s2 = 11432148, int(edited[s2]) = 0 s1 = 10414128, s2 = 11432148, d1 = 23, d2 = 18 Dl.O(d1) = 260495185,260495187 Dl.O(d2) = 263076657,263839215,264432382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10414128, s2 = 11432148, dlinesl.size( ) = 20 s1 = 10414370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15122222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15122222, s2 = 11574630, int(edited[s2]) = 0 s1 = 15122222, s2 = 11574630, d1 = 31, d2 = 45 Dl.O(d1) = 126571205,272532491 Dl.O(d2) = 221732411,266319151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15122222, s2 = 11574630, dlinesl.size( ) = 50 s1 = 10415211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14206015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10415842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10416014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10416014, s2 = 7428607, int(edited[s2]) = 0 s1 = 10416014, s2 = 7428607, d1 = 4, d2 = 63 Dl.O(d1) = 128808514 Dl.O(d2) = 265487881,227553746,265938715,266385521,266558699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10416014, s2 = 7428607, dlinesl.size( ) = 24 s1 = 10416769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10417092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10417092, s2 = 13990881, int(edited[s2]) = 0 s1 = 10417092, s2 = 13990881, d1 = 26, d2 = 17 Dl.O(d1) = 261617369,163629688,174466220 Dl.O(d2) = 273490785,173070287,262060679,122369958,259744623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10417092, s2 = 13990881, dlinesl.size( ) = 2 s1 = 10417092, s2 = 13990881, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10417092, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 14046331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10417290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10417961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10417961, s2 = 14157489, int(edited[s2]) = 0 s1 = 10417961, s2 = 14157489, d1 = 57, d2 = 0 Dl.O(d1) = 267713464 Dl.O(d2) = 247833831 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10418594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14135479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10418637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10418637, s2 = 10418634, int(edited[s2]) = 0 s1 = 10418637, s2 = 10418634, d1 = 53, d2 = 23 Dl.O(d1) = 235200374,236128043,235200375,235200376,266543569,236972973,266620353 Dl.O(d2) = 236128053,235200384,234181762,234181761 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10418773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10418773, s2 = 10418774, int(edited[s2]) = 0 s1 = 10418773, s2 = 10418774, d1 = 6, d2 = 7 Dl.O(d1) = 2312512,1341567,1341564,1362558,1341716 Dl.O(d2) = 2346981,3920750,6262549,9545013,9634170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10418773, s2 = 10418774, dlinesl.size( ) = 12 s1 = 10418768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10419159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10419159, s2 = 10419157, int(edited[s2]) = 0 s1 = 10419159, s2 = 10419157, d1 = 6, d2 = 5 Dl.O(d1) = 2362296,1367880,779012,441940,249036,249037 Dl.O(d2) = 441960,779061,774268,774267,778561,1366905,2360796,3880061,3880063,2350002,2350004,2323568,2314051,1342283,1342284,2314055,3845641,2304377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10419159, s2 = 10419157, dlinesl.size( ) = 8 s1 = 10419164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10419164, s2 = 10419158, int(edited[s2]) = 0 s1 = 10419164, s2 = 10419158, d1 = 7, d2 = 4 Dl.O(d1) = 8795026,5728847,5728844,5739170,8810116,12948579,8933614,5831076,3638583,2174358,1259447,1259449,2174365,3638606,5831138,8790947,8790945,8917550 Dl.O(d2) = 8812599,6011530,6011528,6588961,6588960,10025280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10419164, s2 = 10419158, dlinesl.size( ) = 8 s1 = 14116965, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10419763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10419763, s2 = 11490536, int(edited[s2]) = 0 s1 = 10419763, s2 = 11490536, d1 = 19, d2 = 0 Dl.O(d1) = 263803358,264424450 Dl.O(d2) = 185339614,185339612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10419763, s2 = 11490536, dlinesl.size( ) = 20 s1 = 10419873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10419873, s2 = 11080224, int(edited[s2]) = 0 s1 = 10419873, s2 = 11080224, d1 = 12, d2 = 26 Dl.O(d1) = 176563671 Dl.O(d2) = 258061555,256870975,255838223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10419873, s2 = 11080224, dlinesl.size( ) = 22 s1 = 10420081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10420081, s2 = 11606500, int(edited[s2]) = 0 s1 = 10420081, s2 = 11606500, d1 = 23, d2 = 27 Dl.O(d1) = 266729999 Dl.O(d2) = 266851133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10420081, s2 = 11606500, dlinesl.size( ) = 34 s1 = 14153995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153995, s2 = 11571222, int(edited[s2]) = 0 s1 = 14153995, s2 = 11571222, d1 = 12, d2 = 14 Dl.O(d1) = 267159435,242258223 Dl.O(d2) = 274831634,237490836,266666809,238866231,274813916,274750100,266426900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153995, s2 = 11571222, dlinesl.size( ) = 20 s1 = 13991041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13991041, s2 = 15146420, int(edited[s2]) = 0 s1 = 13991041, s2 = 15146420, d1 = 88, d2 = 77 Dl.O(d1) = 49146534,39220074,30622830,23200896,16931520,11850101,11850100 Dl.O(d2) = 222110146,219312605,264229296,226602078,226602113,226602114,228422545,265569500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13991041, s2 = 15146420, dlinesl.size( ) = 12 s1 = 14145269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145269, s2 = 14136334, int(edited[s2]) = 0 s1 = 14145269, s2 = 14136334, d1 = 3, d2 = 0 Dl.O(d1) = 230960152,229488656,229488655,230960150,265956597,265956595,227832790,227832791,229488657,227832786,225947613,223786934,223786933,225947612,225947619,223786937,221294232,221294231,218384161,214921009 Dl.O(d2) = 274328230,183399983,173606142,162576319,150448089,260996775,109487184,95233940,81178420,67713299,55373519,44527309,44527310,35150840,27065049,20170838,254979523,9957335,14471974,20170843,27065057,23922292,17581157,12409115,12409116,12409118,8386834,5412023,254271547,1117566,1636789,2821303,4682581,5401808,4681985,2820973,2820972,1953802,1117577,627053,348373,348014,190821,104191,104195,57313,57311,104244,190945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145269, s2 = 14136334, dlinesl.size( ) = 2 s1 = 14145269, s2 = 14136334, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14145269, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14088759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14031333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14151229, s2 = 9587715, int(edited[s2]) = 0 s1 = 14151229, s2 = 9587715, d1 = 43, d2 = 4 Dl.O(d1) = 239608317,239608316,239608315 Dl.O(d2) = 23891222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14151229, s2 = 9587715, dlinesl.size( ) = 40 s1 = 14123717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10421460, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14155957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155957, s2 = 11639542, int(edited[s2]) = 0 s1 = 14155957, s2 = 11639542, d1 = 0, d2 = 16 Dl.O(d1) = 245891808 Dl.O(d2) = 267588859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155957, s2 = 11639542, dlinesl.size( ) = 8 s1 = 10421558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10421558, s2 = 11351244, int(edited[s2]) = 0 s1 = 10421558, s2 = 11351244, d1 = 2, d2 = 11 Dl.O(d1) = 207203089 Dl.O(d2) = 194250796,186040587,273691660,86328567,258164635,48601611,38685516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10421558, s2 = 11351244, dlinesl.size( ) = 2 s1 = 10421558, s2 = 11351244, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10421558, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10421669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10422493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10422493, s2 = 8850792, int(edited[s2]) = 0 s1 = 10422493, s2 = 8850792, d1 = 50, d2 = 79 Dl.O(d1) = 266336212,232309659,266198011,234576394,233497659,266123102,229526629,265959729,232309671,233497656,266646363 Dl.O(d2) = 274725540,266646359,238691412,238014519,266716047,238239420,238239421,238893409,274844062,239312262,238691410,274789259,274716449,266001860,227874242,227874241,274546041,233497647,234576396,235558659,266780029,237270689,238014517,238691408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10422493, s2 = 8850792, dlinesl.size( ) = 18 s1 = 13991131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109043, s2 = 11083878, int(edited[s2]) = 0 s1 = 14109043, s2 = 11083878, d1 = 53, d2 = 38 Dl.O(d1) = 261955983,170474973,263707009,200714642,274094935 Dl.O(d2) = 272200443,59095021,71834813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109043, s2 = 11083878, dlinesl.size( ) = 52 s1 = 10422800, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10423515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10423846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10424476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10424476, s2 = 11272732, int(edited[s2]) = 0 s1 = 10424476, s2 = 11272732, d1 = 118, d2 = 186 Dl.O(d1) = 245330595 Dl.O(d2) = 26142989,28587084,28587085,259298319,112543298,112543297,112543298,115938685,101892415,87918276,74314861,74314860,258181024,50059909,40040395,31360312,23866233,23267930,17004079,12177120,8208891,8208895,7298610,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,14090975,12636309,12636308,17844261,24214678,31721882,31062883,31050259,31050260,255480548,26653164,26385157,19650699,14085034,9688318,9688315,14085028,19650690,26385150,34262646,26394297,26394298,34268449,36918561,28420681,28420680,30272166,22874997,16646685,16646684,22874992,19654026,14087604,9689834,9689836,9689848,9689846,14087637,16052072,11837033,7910929,5029156,5029152,6891509,4326201,3161643,3161647,5181889,8087852,12030485,16657289,22886035,25510667,23180904,23180903,26398385,26398384,34273491,268095044,16914262,11837414,11837413,16914257,13011785,13011786,18330161,24821642,29173943,29173942,29173949,23871586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10424476, s2 = 11272732, dlinesl.size( ) = 68 s1 = 10424585, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14104571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104571, s2 = 11142198, int(edited[s2]) = 0 s1 = 14104571, s2 = 11142198, d1 = 9, d2 = 4 Dl.O(d1) = 120253821,257863456,77925149,64734307,52818698,42417221,33426585,25658372,19039515,13590919,9305915,9305914,6134181,6096342,3814264,3814266,6096335,6102730,6077834,3824759,3824757,3831664,6101532,8703694,5665805,3837252,2298872 Dl.O(d2) = 2298867,3837225,6133288,9363413,13657852,18994574,13554916,9279866,6078694,6078695,254929791,9278779,267862435,2282789,1331391,1331392,2294722,3830224,6121898,6137897,6137896,4581686,2756505,1597947,908403,512289,287160,158715,158714,287154,512279,908383,1597916,2756457,2756422,1597894,1597893,2756420,4581572,7265062,10976345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104571, s2 = 11142198, dlinesl.size( ) = 2 s1 = 14104571, s2 = 11142198, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14104571, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 14142861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142861, s2 = 1928720, int(edited[s2]) = 0 s1 = 14142861, s2 = 1928720, d1 = 5, d2 = 2 Dl.O(d1) = 226899414 Dl.O(d2) = 49894323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142861, s2 = 1928720, dlinesl.size( ) = 11 s1 = 11790600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11790600, s2 = 12235138, int(edited[s2]) = 0 s1 = 11790600, s2 = 12235138, d1 = 33, d2 = 36 Dl.O(d1) = 235845974,266516120,232694605,231421898,231421897,232694603 Dl.O(d2) = 266516117,274666861,266120885,230001275,265868179,226575510,265393945,222072244,265567011,265868181,231421896,231421907,230001280,228399396,228399395,230001278,266120887,230001272,228399389,226575510,226575509,228399387,265999487,230001277,231421902,230001283,228399400,226575516,224481837,222072246,222072245,224481834,226575515,265868185,231421909,232694608,274725050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11790600, s2 = 12235138, dlinesl.size( ) = 2 s1 = 11790600, s2 = 12235138, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 11790600, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 10425143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10425143, s2 = 11997132, int(edited[s2]) = 0 s1 = 10425143, s2 = 11997132, d1 = 40, d2 = 1 Dl.O(d1) = 266308559,235604584 Dl.O(d2) = 234912992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10425143, s2 = 11997132, dlinesl.size( ) = 46 s1 = 10425154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10425330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10425330, s2 = 11282932, int(edited[s2]) = 0 s1 = 10425330, s2 = 11282932, d1 = 3, d2 = 2 Dl.O(d1) = 254116966,2078500,3497731,5629019,8654036,12735250,17970513,16442105,11455986,11455987,16442111,20202096,18136981,256069719 Dl.O(d2) = 260195708,99920724,103449884,103449885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10425330, s2 = 11282932, dlinesl.size( ) = 2 s1 = 10425330, s2 = 11282932, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10425330, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 14071609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14071609, s2 = 14018282, int(edited[s2]) = 0 s1 = 14071609, s2 = 14018282, d1 = 29, d2 = 31 Dl.O(d1) = 258749024,19816137,14194532,9757937,9757936,14194526,19816131,22678595,23974932,28698877,21447007,268148056,26627686,21886702,18870140,15810345,10956108,10956110,12654721,17870066,255592145,17870276,17870277,256200884,19095571,25727051,32838705,30802303,23374720,17105387,12019593,12019594,17105390,23374724,30802309,28953759 Dl.O(d2) = 1341720,2312834,3822059,6108144,6168930,9415399,13136353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14071609, s2 = 14018282, dlinesl.size( ) = 28 s1 = 10425970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10426072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10426355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086335, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10426402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10426501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10426501, s2 = 10426526, int(edited[s2]) = 0 s1 = 10426501, s2 = 10426526, d1 = 0, d2 = 15 Dl.O(d1) = 5187186 Dl.O(d2) = 12043962,17137675,14590058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10426501, s2 = 10426526, dlinesl.size( ) = 16 s1 = 10426525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10426525, s2 = 10426511, int(edited[s2]) = 0 s1 = 10426525, s2 = 10426511, d1 = 12, d2 = 10 Dl.O(d1) = 48077422,38164599,38164598,48077419 Dl.O(d2) = 72205825,60770832,49368155,39439337,30835306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10426525, s2 = 10426511, dlinesl.size( ) = 10 s1 = 10426650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10426650, s2 = 11057830, int(edited[s2]) = 0 s1 = 10426650, s2 = 11057830, d1 = 13, d2 = 11 Dl.O(d1) = 39719,73377,134936,242033,428746,754615,1322615,2280542 Dl.O(d2) = 255440503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10426650, s2 = 11057830, dlinesl.size( ) = 14 s1 = 10426695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10426820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10427052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115397, s2 = 11093558, int(edited[s2]) = 0 s1 = 14115397, s2 = 11093558, d1 = 13, d2 = 11 Dl.O(d1) = 165024460,175756569,273162888 Dl.O(d2) = 258888526,40091819,255569918,254596697,5412070,8386913,12409221,16898199,12433545,12433543,17402926,14447903,11825502,7902970,5023671,5023668,5589960,5405884,5405885,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366808,12381734,17552176,19350907,256167873,256940031,268943523,33348345,26667478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115397, s2 = 11093558, dlinesl.size( ) = 14 s1 = 10427347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10427380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10428180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10428193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10428276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10428294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10429444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10429771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10430737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10430737, s2 = 11258851, int(edited[s2]) = 0 s1 = 10430737, s2 = 11258851, d1 = 18, d2 = 20 Dl.O(d1) = 258823468 Dl.O(d2) = 259744426,76003664,63020300,51339421,41154327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10430737, s2 = 11258851, dlinesl.size( ) = 12 s1 = 10430898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10430898, s2 = 11619214, int(edited[s2]) = 0 s1 = 10430898, s2 = 11619214, d1 = 58, d2 = 57 Dl.O(d1) = 274294687,227031960 Dl.O(d2) = 267168045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10430898, s2 = 11619214, dlinesl.size( ) = 86 s1 = 14069487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14069487, s2 = 11275302, int(edited[s2]) = 0 s1 = 14069487, s2 = 11275302, d1 = 13, d2 = 9 Dl.O(d1) = 260157761,261325571,261867031 Dl.O(d2) = 186661214,261132442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14069487, s2 = 11275302, dlinesl.size( ) = 2 s1 = 14069487, s2 = 11275302, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14069487, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 14150155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150155, s2 = 10430969, int(edited[s2]) = 0 s1 = 14150155, s2 = 10430969, d1 = 9, d2 = 31 Dl.O(d1) = 237331262,238069274,238740280,238740282,238069276,238069275 Dl.O(d2) = 139474210,126102205,112246053,98266322,84357796,70799180,58082406,257416481,36828427,28332253,256289922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150155, s2 = 10430969, dlinesl.size( ) = 26 s1 = 10430970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10430970, s2 = 14150156, int(edited[s2]) = 0 s1 = 10430970, s2 = 14150156, d1 = 24, d2 = 44 Dl.O(d1) = 256289923 Dl.O(d2) = 239916532,239916529,239348758,239348759,239916530,239916528,239348757,238731902,238060240,238060241,237321233,237321234,238060248,238731908,239348765,239916536,240441513,239916538,239916527,239916526,240441512,240441514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 10431100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10431369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10431369, s2 = 11367702, int(edited[s2]) = 0 s1 = 10431369, s2 = 11367702, d1 = 5, d2 = 6 Dl.O(d1) = 113393903,127252370,140598544,153279349,146810330,133551596 Dl.O(d2) = 119676399,119676402,105437944,259014841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10431369, s2 = 11367702, dlinesl.size( ) = 2 s1 = 10431369, s2 = 11367702, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10431369, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 13991479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146727, s2 = 11604952, int(edited[s2]) = 0 s1 = 14146727, s2 = 11604952, d1 = 42, d2 = 30 Dl.O(d1) = 266460883,236984919 Dl.O(d2) = 266819141,240220589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146727, s2 = 11604952, dlinesl.size( ) = 38 s1 = 10431783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10431928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10432177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10432172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10432464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14034711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034711, s2 = 9106668, int(edited[s2]) = 0 s1 = 14034711, s2 = 9106668, d1 = 49, d2 = 91 Dl.O(d1) = 17905590,12684840,8616085,8616084,12684838,17905586,24286515,31800603,40495686,43346527,43346526,40893026,32118975,24541352,19637225,18659157,18659158,25227227,23619862,17305549,12182721,8213960,8213959,9553297,6268457,6141218,6141219,9374680 Dl.O(d2) = 25299059,18724442,15897417,15897416,21996039,21996101,21996021,15897403,11020707,11020706,15897400,18724005,18724006,19830139,24337800,31859903,25298624,25298623,255046506,25299001,18724389,18724064,13329173,13329115,9107439,9107440,13329118,18723993,25298635,19830135,14205182,9765224,6420526,6420525,9765221,14205173,18723949,18723950,25298585,18723997,13329354,13329355,18724295,25298914,18724385,13329429,9107649,5959417,5959418,9107651,5959420,3726876,2231384,2231387,3726882,5959433,9107677,13329463,18724029,13329148,9107458,5959318,5959319,9107462,9107515,13329201,13329203,18724106,268141089,13329376,13329325,9107583,5959391,5959392,9107588,13329332,18724267,16031685,13329252,9107573,5959385,3726863,2231379,2231378,3726859,5959380,9107566,254914565,9107603,9107604,9107627,13329400,9107696,5959441,5959442,9107699,9107429,9107428,13329102,18723973,25298607,18724399,18724398,25298766,18724126,13772139,9441592,6189268,6189269,5959342,3726846,3726847,5959344,9107498,255252485,19268224,13772423,9441827,9107594,9107593,13329343,18724281,23632918,17316964,12192146,12192145,9107537,9107533,6189612,254306153,1344694,1344695,1344710,767433,436273,246320,136085,136084,246318,436268,767423,1344693,2319624,2319643,2319642,1344728,1344729,2319670,3873727,6189599,3873660,2319619,1344689,767421,767419,767420,1344688,2319617,3873653,6189592,7023241,4417069,4417070,6189449,3873562,3873561,6189260,6189261,3873812,2319730,1344772,767464,767465,767380,436239,246307,136079,136080,246310,436251,767398,1344655,2319557,3873541,6189413,3873711,3873712,6189491,6189490,9441881,13772491,19268293,19268853,19267832,13772101,9441554,9441550,9441551,13772096,13773430,19269391,20251114,19268264,13772460,13772459,19268261,25929935,25930224,25930283,19268194,13772383,9441791,6189404,3873534,2319552,2319551,3873531,6189398,9441783,13772373,13772284,13772285,19268059,15442676,15442678,19268016,13772264,9441712,9441713,13772270,19268027,19268575,19268574,14531220,9998808,9998807,9998809,6571316,4116514,2462236,1423258,1423260,2462245,4116538,6571354,7886176,7886175,9999137,14531592,9999078,9999077,11806903,11806905,16876847,16210714,16210713,14531684,14531686,16210748,11268712,7480425,7480424,9998960,9998959,9998910,9998912,11268727,16210777,16876592,16876591,16876811,11806881,11806879,7886427,5008632,3028487,1762173,1762172,3028481,5008622,7886406,9998954,14531427,20250929,15086495,13438287,9999067,9998845,6571339,4116526,4116525,5008492,3028421,3028423,5008497,7886183,9999201,9999200,14531675,14531674,20251269,27165798,35269750,44663310,55524475,270143459,95390839,105902955,91695593,77768057,67875032,55524463,44663300,44663298,55524459,259174453,86458692,72863199,60126468,48731945,38811717,30228953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034711, s2 = 9106668, dlinesl.size( ) = 12 s1 = 14052955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052955, s2 = 14252044, int(edited[s2]) = 0 s1 = 14052955, s2 = 14252044, d1 = 58, d2 = 60 Dl.O(d1) = 255050870,61686269,74469520,88081994,102068535,116126811,130036670,143368922,155911567,167526227,177997441,187245200,195296500,202180589,207968556 Dl.O(d2) = 214974440,210769551,205621683,199398363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052955, s2 = 14252044, dlinesl.size( ) = 50 s1 = 14151699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14151699, s2 = 11635442, int(edited[s2]) = 0 s1 = 14151699, s2 = 11635442, d1 = 8, d2 = 32 Dl.O(d1) = 240759945,241223245 Dl.O(d2) = 274997707,245802374,267499535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14151699, s2 = 11635442, dlinesl.size( ) = 30 s1 = 14139771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139771, s2 = 10432824, int(edited[s2]) = 0 s1 = 14139771, s2 = 10432824, d1 = 0, d2 = 9 Dl.O(d1) = 224077729 Dl.O(d2) = 231140673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139771, s2 = 10432824, dlinesl.size( ) = 20 s1 = 10432830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10432830, s2 = 14139772, int(edited[s2]) = 0 s1 = 10432830, s2 = 14139772, d1 = 9, d2 = 2 Dl.O(d1) = 233118061 Dl.O(d2) = 227242148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10432830, s2 = 14139772, dlinesl.size( ) = 20 s1 = 10433021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10433021, s2 = 11456448, int(edited[s2]) = 0 s1 = 10433021, s2 = 11456448, d1 = 57, d2 = 33 Dl.O(d1) = 153506746,153506745,153506749,262222749 Dl.O(d2) = 273480073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10433021, s2 = 11456448, dlinesl.size( ) = 2 s1 = 10433021, s2 = 11456448, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10433021, Dl.E( ) = 58, 2.12e-05 seconds used appending s1 = 14063137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063137, s2 = 11139128, int(edited[s2]) = 0 s1 = 14063137, s2 = 11139128, d1 = 0, d2 = 31 Dl.O(d1) = 53158744,65142980,78424617 Dl.O(d2) = 134816078,260908919,115105147,101030738,259251064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063137, s2 = 11139128, dlinesl.size( ) = 36 s1 = 14123923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123923, s2 = 9660191, int(edited[s2]) = 0 s1 = 14123923, s2 = 9660191, d1 = 16, d2 = 38 Dl.O(d1) = 188340576 Dl.O(d2) = 256164529,19305135,255697163,255762686,41135552,41135550,51319161,62998154,65257959,78548155,89759677,78548157,65257962,257333960,33782566,25972184,19305137,19305136,25972183,32321797,24707211,254698028,35393745,44819556,55727430,63785344,51970197,41662415,32751363,25059409,18520824,18520719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123923, s2 = 9660191, dlinesl.size( ) = 2 s1 = 14123923, s2 = 9660191, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14123923, Dl.E( ) = 44, 1.29e-05 seconds used appending s1 = 10433530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160433, s2 = 14136798, int(edited[s2]) = 0 s1 = 14160433, s2 = 14136798, d1 = 14, d2 = 20 Dl.O(d1) = 274631326 Dl.O(d2) = 231350233,229922103,228312617,228312618,229922104,229922108,228312620,226478596,265379776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160433, s2 = 14136798, dlinesl.size( ) = 24 s1 = 14136797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136797, s2 = 14160434, int(edited[s2]) = 0 s1 = 14136797, s2 = 14160434, d1 = 17, d2 = 9 Dl.O(d1) = 265379777,226436364,228271862,229883332,229883328,228271860,228271859,229883327,231314710,232597877,231314714,274595177,231314708,266111177 Dl.O(d2) = 274631327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136797, s2 = 14160434, dlinesl.size( ) = 18 s1 = 10434139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10434291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11790686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10434554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10434627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10434627, s2 = 11617698, int(edited[s2]) = 0 s1 = 10434627, s2 = 11617698, d1 = 2, d2 = 15 Dl.O(d1) = 242627530 Dl.O(d2) = 243542781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10434627, s2 = 11617698, dlinesl.size( ) = 28 s1 = 11665692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10434825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10434825, s2 = 14133960, int(edited[s2]) = 0 s1 = 10434825, s2 = 14133960, d1 = 11, d2 = 14 Dl.O(d1) = 63406346,51663032,255632606,51663033,257744972,76450211,258358850,104431905,118616193,132456688,145703206,158104124,145703204,132456687,118616192,118616193,132456689,145703209 Dl.O(d2) = 196525444,188728322,188728321,196525442,203201405,263688496,196525432,196525431,188728317,179732045,179732046,188728319,196525438,203201403,264029152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10434825, s2 = 14133960, dlinesl.size( ) = 2 s1 = 10434825, s2 = 14133960, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10434825, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 10434834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10434956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10434956, s2 = 11040050, int(edited[s2]) = 0 s1 = 10434956, s2 = 11040050, d1 = 23, d2 = 24 Dl.O(d1) = 28050129,28050130,36514361,42638790,33612790,25813574,25813573,19164687,13685236,9371935,6139004,3840939,2301273,254149273,433869,245059,245062,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832 Dl.O(d2) = 9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,3811623,2283232,2283230,3811583,6091741,6081274,3805235,2295989,1332237,1332236,2295983,3832166,6124805,254936165,19125213,25764820,25458549,18859039,13436782,9186692,9186693,13436786,16089284,22221891,19405354,13882317,9524584,9524583,13882312,14918968,20815476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10434956, s2 = 11040050, dlinesl.size( ) = 2 s1 = 10434956, s2 = 11040050, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10434956, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 10435176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140597, s2 = 10435167, int(edited[s2]) = 0 s1 = 14140597, s2 = 10435167, d1 = 5, d2 = 6 Dl.O(d1) = 228999052,227260827,225271115,222981470,264866764,213423438,264622362,203230500,203230501,274033423,213423447,208824439,208824440,208824425,203230502,263336060,169596086,169596087,179794553,188774533,196560948,203230511,208824440,213423432,217190074,217190073,217190074,265628057,228999051,274375654,274432953,265461717 Dl.O(d2) = 264866762,208824437,203230510,203230509,264608789,264866766,217190090,220324554,220324548,265278095,274231328,217190070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140597, s2 = 10435167, dlinesl.size( ) = 2 s1 = 14140597, s2 = 10435167, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14140597, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10435194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10435185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10435296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10435296, s2 = 14875583, int(edited[s2]) = 0 s1 = 10435296, s2 = 14875583, d1 = 11, d2 = 26 Dl.O(d1) = 260497047,139439210 Dl.O(d2) = 184472630,261614600,199430172,192079305,183536965,173768608,173768609,183536967,192079309,261061874,200085799,192872974,192872973,200085797,200085806,261061870,192079302,183536964,173768607,162769356,272468869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10435296, s2 = 14875583, dlinesl.size( ) = 30 s1 = 10436385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14045947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10436655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10436655, s2 = 14045948, int(edited[s2]) = 0 s1 = 10436655, s2 = 14045948, d1 = 16, d2 = 14 Dl.O(d1) = 257123374,34673776 Dl.O(d2) = 14118568,9713620,9713622,14118635,19691230,19691231,26428902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10436655, s2 = 14045948, dlinesl.size( ) = 18 s1 = 14150127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10437067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11790702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143965, s2 = 11566888, int(edited[s2]) = 0 s1 = 14143965, s2 = 11566888, d1 = 68, d2 = 3 Dl.O(d1) = 230361290,231748107,232993895,266360885,266538259,237700216 Dl.O(d2) = 235132730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143965, s2 = 11566888, dlinesl.size( ) = 38 s1 = 11665884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14063487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063487, s2 = 11261220, int(edited[s2]) = 0 s1 = 14063487, s2 = 11261220, d1 = 22, d2 = 34 Dl.O(d1) = 256180027,26245374,34109366,43195617 Dl.O(d2) = 86457303,72861637,72861636,86457302,100414295,100414296,100414297,114438817,128315361,272367588,123625750,109432261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063487, s2 = 11261220, dlinesl.size( ) = 14 s1 = 10438218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10438218, s2 = 11456046, int(edited[s2]) = 0 s1 = 10438218, s2 = 11456046, d1 = 6, d2 = 5 Dl.O(d1) = 224825432,222463156 Dl.O(d2) = 216454913,264274724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10438218, s2 = 11456046, dlinesl.size( ) = 2 s1 = 10438218, s2 = 11456046, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10438218, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14079261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10438367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10438367, s2 = 11450938, int(edited[s2]) = 0 s1 = 10438367, s2 = 11450938, d1 = 10, d2 = 13 Dl.O(d1) = 101026933 Dl.O(d2) = 129103228,142480684,129103226,258690556,166819802,177369325,263107200,273704586,274356393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10438367, s2 = 11450938, dlinesl.size( ) = 16 s1 = 10438471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10438588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10438588, s2 = 11327458, int(edited[s2]) = 0 s1 = 10438588, s2 = 11327458, d1 = 6, d2 = 5 Dl.O(d1) = 268379607,256846029 Dl.O(d2) = 58186836,58186837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10438588, s2 = 11327458, dlinesl.size( ) = 2 s1 = 10438588, s2 = 11327458, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10438588, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10438660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10438723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10438723, s2 = 10438713, int(edited[s2]) = 0 s1 = 10438723, s2 = 10438713, d1 = 12, d2 = 20 Dl.O(d1) = 27197110,20270759,14543705,255340313,10006354,10006353,10006359,10006365,6575776,4119204,2463869,2463868,4119199,6575771,10006357,254733244,10599804,10599803 Dl.O(d2) = 186476551,194625763,201604976,207479124,264468996,219558733,274267670,222329502,224708290,226773799,228575357,265846036,232826093,233966351,235005128,266604361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10438723, s2 = 10438713, dlinesl.size( ) = 2 s1 = 10438723, s2 = 10438713, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10438723, Dl.E( ) = 22, 1.69e-05 seconds used appending s1 = 10438712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14074985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074985, s2 = 11389442, int(edited[s2]) = 0 s1 = 14074985, s2 = 11389442, d1 = 29, d2 = 19 Dl.O(d1) = 259373427,103508815,271475075,131439436 Dl.O(d2) = 262922916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074985, s2 = 11389442, dlinesl.size( ) = 24 s1 = 14144763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144763, s2 = 14151956, int(edited[s2]) = 0 s1 = 14144763, s2 = 14151956, d1 = 17, d2 = 15 Dl.O(d1) = 231527746,274693846 Dl.O(d2) = 239975731,266903279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144763, s2 = 14151956, dlinesl.size( ) = 2 s1 = 14144763, s2 = 14151956, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14144763, Dl.E( ) = 26, 1.6e-05 seconds used appending s1 = 14151955, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10439120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11666070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14129241, s2 = 11589578, int(edited[s2]) = 0 s1 = 14129241, s2 = 11589578, d1 = 15, d2 = 7 Dl.O(d1) = 264589087,216858210,220057986,222761195,225085544,227105213,228867977,266037973,230420699,230420701,231800708,233041329,234163226,235184238,266357538,234163222,235184239,235184240,266542119,237733309,238434182,266685320,274605932,231800699,266027836,228867974,228867975 Dl.O(d2) = 236961330,266450448,266542117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129241, s2 = 11589578, dlinesl.size( ) = 2 s1 = 14129241, s2 = 11589578, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14129241, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 14114601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114601, s2 = 11486432, int(edited[s2]) = 0 s1 = 14114601, s2 = 11486432, d1 = 6, d2 = 51 Dl.O(d1) = 163356318 Dl.O(d2) = 264619596,218538517,221428385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114601, s2 = 11486432, dlinesl.size( ) = 38 s1 = 10440861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10441215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10441339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10441339, s2 = 11666143, int(edited[s2]) = 0 s1 = 10441339, s2 = 11666143, d1 = 12, d2 = 9 Dl.O(d1) = 260138353,102116017,258509560,61734545,50256253,40236889,256205122,256538179,258277161,259523625,102116015,88128198,257890542,61734535,74516031,61734550,256727358,54694263,66953109,257890544,50256249,40236888,31550935,255318064 Dl.O(d2) = 50256248,258277159,74516039,74516038,74516040,61734543,61734544,74516041,74516042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10441339, s2 = 11666143, dlinesl.size( ) = 12 s1 = 11666144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10441386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10441513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10441513, s2 = 10441491, int(edited[s2]) = 0 s1 = 10441513, s2 = 10441491, d1 = 29, d2 = 24 Dl.O(d1) = 6849153,10391913,15068593,10463195,10463194,15171001,21117508,28327602,25752501,25752502,33541058,28203242,21011445,15090829,10408100,10408036,10408037,15090711,15634133,15634132,21670952,21989809,21989808,29318427,29322004,254660756,33704342,25898136,19237693,254114306,6169965,3860733,2312874,1341740,1341742,1362538,1358532,1358527,2321705,2321708,3553129,255616965 Dl.O(d2) = 254949194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10441513, s2 = 10441491, dlinesl.size( ) = 30 s1 = 14030047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10441704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10441704, s2 = 11561822, int(edited[s2]) = 0 s1 = 10441704, s2 = 11561822, d1 = 11, d2 = 10 Dl.O(d1) = 266388621,236335099,274677606 Dl.O(d2) = 233350300,234438974,266257848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10441704, s2 = 11561822, dlinesl.size( ) = 14 s1 = 14067287, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11666240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11666240, s2 = 11281216, int(edited[s2]) = 0 s1 = 11666240, s2 = 11281216, d1 = 19, d2 = 20 Dl.O(d1) = 214855802 Dl.O(d2) = 260648902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11666240, s2 = 11281216, dlinesl.size( ) = 28 s1 = 10443250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10443250, s2 = 11099664, int(edited[s2]) = 0 s1 = 10443250, s2 = 11099664, d1 = 11, d2 = 13 Dl.O(d1) = 31424599,31025079,23543788,17235551,17235554,23543795,31025086,31424508,28982963,28982964,37526928,43172007,43172006,49396130,50685448,47565361,37927147,37927146,47846984,267967024,37417528,28875970,28875971,37417534,37818470,29253204,23934008,23934010,21195138,15231433,15231429,21195123,28417178,36880701,28384192,21166269,16799124,16799122,23044974,29447475,254508402,16001544,22113984,255049800 Dl.O(d2) = 72052279,85639721,259026098,77454474,257194264,73301347,73301346,60558155,60558154,60558157,60558156,60558147,255660626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10443250, s2 = 11099664, dlinesl.size( ) = 14 s1 = 14354751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10444025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10444025, s2 = 11050632, int(edited[s2]) = 0 s1 = 10444025, s2 = 11050632, d1 = 5, d2 = 2 Dl.O(d1) = 120280283,259650034,258395728 Dl.O(d2) = 64762923,52842668,42438033,256121220,19053073,13601478,13601477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10444025, s2 = 11050632, dlinesl.size( ) = 2 s1 = 10444025, s2 = 11050632, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10444025, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 10444147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10444243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10444452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10444587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10444587, s2 = 11459414, int(edited[s2]) = 0 s1 = 10444587, s2 = 11459414, d1 = 4, d2 = 0 Dl.O(d1) = 185921648 Dl.O(d2) = 165835037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10444587, s2 = 11459414, dlinesl.size( ) = 8 s1 = 10444707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11666388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10445237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10445237, s2 = 12612520, int(edited[s2]) = 0 s1 = 10445237, s2 = 12612520, d1 = 1, d2 = 0 Dl.O(d1) = 11917124,11900734,7958989 Dl.O(d2) = 12012576,17098755,17082002,11994353,8046124,5164436,5164433,7789480,7789481,7940666,7369525,7369524,11111474,16005053,12012566,12012567,11684702,11684701,16727416,16963701,11875628,7938693,7938692,5056944,5056943,7936110,5046565,5046566,7936114,11872554,15805113,10951932,7248284,7248285,10951934,11923903,11923904,17010023,17033293,11948039,11948040,255147268,11678444,16720176,16984239,17010005,17010006,16140359,11212658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10445237, s2 = 12612520, dlinesl.size( ) = 2 s1 = 10445237, s2 = 12612520, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10445237, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 10445523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10445523, s2 = 15055020, int(edited[s2]) = 0 s1 = 10445523, s2 = 15055020, d1 = 30, d2 = 37 Dl.O(d1) = 1296475,1296474,2235595,255656071 Dl.O(d2) = 78873517,65538241,53514035,256860722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10445523, s2 = 15055020, dlinesl.size( ) = 30 s1 = 14154599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14154599, s2 = 11580246, int(edited[s2]) = 0 s1 = 14154599, s2 = 11580246, d1 = 50, d2 = 28 Dl.O(d1) = 267044094,266954384 Dl.O(d2) = 243758249,267000992,242562134,242207285,241823464,241407760,240958703,266729536,242207283,242562132,274812732,241407760,240958703,240473871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14154599, s2 = 11580246, dlinesl.size( ) = 46 s1 = 14102369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10446381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11666494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10446875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10446875, s2 = 9284670, int(edited[s2]) = 0 s1 = 10446875, s2 = 9284670, d1 = 147, d2 = 87 Dl.O(d1) = 33848270,26027572,19350734,255699937,254668427,3897354 Dl.O(d2) = 215624711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10446875, s2 = 9284670, dlinesl.size( ) = 48 s1 = 10446990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10447052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10447052, s2 = 11666509, int(edited[s2]) = 0 s1 = 10447052, s2 = 11666509, d1 = 0, d2 = 0 Dl.O(d1) = 36926714,28428125,21204450,15238560,10512106,6931925,4355267,4355263,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660000,1175717,2050038,3457990,5574413,5573622,5573620,8578036,12633702,17840760,21203212,19653112,14086939,9689409,6373420,6373421,4000611,2762398,2762400,4591404,7280270,9688676,14085658,17845029,24210325,21912884,21912882,29229347,28426809,21203216,19653253,14087035,9689490,9689489,12635817,12635819,14196748,19819171,23579385,17267610,17267612,19590574,17845502,17845500,19663686,14095056,9694436,9694439,14095064,18966938,18966940,14196000,9758781,9758782,12185627,12185628,16658332,16658334,12633936,12633932,12634093,12634095,14198805,12145988,12145989,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580760,12638204,254785086,30821797,39426305,49355973,60759164,73508275,87127080,101125146,115202917,129134474,142511723,155156056,166848997,155755821,261113836,129873809,115976049 Dl.O(d2) = 36926714,28428125,21204450,15238560,10512106,6931925,4355267,4355263,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660000,1175717,2050038,3457990,5574413,5573622,5573620,8578036,12633702,17840760,21203212,19653112,14086939,9689409,6373420,6373421,4000611,2762398,2762400,4591404,7280270,9688676,14085658,17845029,24210325,21912884,21912882,29229347,28426809,21203216,19653253,14087035,9689490,9689489,12635817,12635819,14196748,19819171,23579385,17267610,17267612,19590574,17845502,17845500,19663686,14095056,9694436,9694439,14095064,18966938,18966940,14196000,9758781,9758782,12185627,12185628,16658332,16658334,12633936,12633932,12634093,12634095,14198805,12145988,12145989,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580760,12638204,254785086,30821797,39426305,49355973,60759164,73508275,87127080,101125146,115202917,129134474,142511723,155156056,166848997,155755821,261113836,129873809,115976049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10447052, s2 = 11666509, dlinesl.size( ) = 2 s1 = 10447052, s2 = 11666509, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10447052, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11666510, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10447370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10447370, s2 = 11580626, int(edited[s2]) = 0 s1 = 10447370, s2 = 11580626, d1 = 5, d2 = 7 Dl.O(d1) = 239982291,266558670 Dl.O(d2) = 266475998,274814163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10447370, s2 = 11580626, dlinesl.size( ) = 2 s1 = 10447370, s2 = 11580626, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10447370, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10448689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10448689, s2 = 15193414, int(edited[s2]) = 0 s1 = 10448689, s2 = 15193414, d1 = 11, d2 = 2 Dl.O(d1) = 8339472,12343854,12343851,14597452,15755369,10911434,7216482,7216478,10911447,15755403,21821945,29128756,37690844,47615883 Dl.O(d2) = 59020047,71764101,62986745,255335396,32312244,32312247,36978521,46788083,46788082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10448689, s2 = 15193414, dlinesl.size( ) = 14 s1 = 10448940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10448940, s2 = 11424322, int(edited[s2]) = 0 s1 = 10448940, s2 = 11424322, d1 = 5, d2 = 2 Dl.O(d1) = 13361087,18763309 Dl.O(d2) = 159240626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10448940, s2 = 11424322, dlinesl.size( ) = 14 s1 = 10449067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10449067, s2 = 3030251, int(edited[s2]) = 0 s1 = 10449067, s2 = 3030251, d1 = 48, d2 = 6 Dl.O(d1) = 190018473,197654339,204155527,209579217,262988528 Dl.O(d2) = 91975586,78049275,78049274,91975584,91975585,78049275,64852223 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086889, s2 = 14046952, int(edited[s2]) = 0 s1 = 14086889, s2 = 14046952, d1 = 21, d2 = 22 Dl.O(d1) = 260339881,135718408,148957409,161262509,172461931,182413157 Dl.O(d2) = 198605312,204951034,210210688,214510857,218045946,221010471,223545670,225742992,227658576,228322561,226489605,224385491,221962712,219141426,215799731,211759070,206814155,200830195,193739707,185471703,175997376,259037974,257795238,113590346,99573698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086889, s2 = 14046952, dlinesl.size( ) = 12 s1 = 14046951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14046951, s2 = 14086890, int(edited[s2]) = 0 s1 = 14046951, s2 = 14086890, d1 = 0, d2 = 28 Dl.O(d1) = 33268029 Dl.O(d2) = 204951041,198605316,191115564,182413158,172461932,161262511,148957410,135718409,260339880,78870912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14046951, s2 = 14086890, dlinesl.size( ) = 2 s1 = 14046951, s2 = 14086890, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14046951, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 14907401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14907401, s2 = 11165144, int(edited[s2]) = 0 s1 = 14907401, s2 = 11165144, d1 = 12, d2 = 0 Dl.O(d1) = 256973394,44431419,260397795,257557803 Dl.O(d2) = 16543029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14907401, s2 = 11165144, dlinesl.size( ) = 8 s1 = 10449758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10449758, s2 = 11495200, int(edited[s2]) = 0 s1 = 10449758, s2 = 11495200, d1 = 19, d2 = 23 Dl.O(d1) = 176343780,185787759,194025202,201084040,207032930,211402358,206395562,200342013,193175696,184826038,273703293,164486683,262149834,193175701 Dl.O(d2) = 261077494,175263131,262634444,263078512,206395567,211402359,215494635,218875903,215494634,215494635,218875905,221374931,218475778,218475777,215025467,210830197,205694068,199484836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10449758, s2 = 11495200, dlinesl.size( ) = 20 s1 = 10449784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10449924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10450167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14844152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10451456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040929, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13992361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10451808, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10451926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10451926, s2 = 14762424, int(edited[s2]) = 0 s1 = 10451926, s2 = 14762424, d1 = 40, d2 = 14 Dl.O(d1) = 28107824,28107826,36579956,46445240,57800578,70501352,74174605,61394034,49913631,47955617,38042132,38042131,38041981,38041980,47955488,51518731,41301244,41301243,47307551,37398214,37398215,37831099,37831100,47753594,47753535,37831053,29265258,29265256,37831047,47753441,47753442,52398763,42054749,33105562,33105563,37831056,47753539,47307554,47307555,39893758,39893757,47307389,37398095,29478917,22141604,22141603,29478914,38042039,47955546,47307477,47307478,49994462,39978238,36579965,28107830,20931345,15023322,10351190,10351189,15023320,20931340,28107820,36579948,37401721,37401722,257460145,59166807,59166808,71904922,72080466,76246691,72080454,59346806,47955595,38042108,29478972,29478973,29478960,29478961,29478955,29478954,38042083,47955577,47915888,47915887,39893750,38029522,38029523,37999923,29437127,29437129,37398103,28857272,28857273,37398106,31216464,31216465,38042186,29479019,22141662,22141661,29479017,38042181,46445159,36579905,28107797,28107798,36579907,46445161,57800497,47943495,38029518,29467002,22131845,16024063,11125910,7379593,4662150,2808743,2808742,4662147,254765749,255451103,22141625,22141552,22141551,29478822,38041880,31631301,24125155,24125154,29478923,29478922,38041928,38041925,47955403,47955531,38042065,38042064,38042147,39978307,49994538,39978356,39978357,38041994,38041993,47955506,38553013,29983718,22616572,22616571,29983714,29478965,29478899,29478900,31216470,23732007,17407521,17407520,23732005,31216467,39893754,38042068,38042067,47955564,59346615,47955391,47955390,51114536,40972370,40972369,51114533,62745860,258356326,85666881,72080410,59346726,47955473,47955472,59346723,59585567,59585566,61471746,61471977,49994571,49994572,59909010,59909009,71433253,71103201,58700913,58700911,58219515,46851649,36972928,28474945,28474948,23816498,17481619,12325585,8325984,8325983,12325579,17481612,17481635,12325590,12325588,17481630,23816516,31303349,268994865,51425486,51425487,63122365,59909045,48515845,48515844,58697672,58697671,71430024,258955286,71433444,257717943,269030450,30028022,22654431,22654432,256425583,47311009,37401583,37401582,47311006,58701010,48515926,48515925,47768218,47768217,48515935,59909120,72649550,85006973,83902579,70378123,57686029,46338878,37398204,37398203,38601130,30028005,22654418,255927405,28860343,37401732,37401730,37401729,47311157,48515934,38601214,30028047,30028049,38601217,38601145,38601146,38601199,38601179,30028031,30028032,38601184,41566191,41566190,36482837,28021410,28021411,36482839,46338888,257133044,83902585,258955288,62746108,51114838,40972666,40972668,51114843,58700885,57729472,57729473,70424360,68109353,55712673,256766083,27256294,20322815,20322816,256239373,44805947,55712680,62745905,62745904,74249981,61471758,49994308,49994309,58701114,47311128,37401703,37401704,42575954,53016107,49994302,49994301,58064975,59216810,57729462,57729463,70424320,57729409,57729410,70424324,64600559,52699870,51114620,46379213,46379212,47753447,59152017,62745891,51114580,40972423,40972424,51114582,62745895,74191392,85562969,71975627,59238016,59238017,59237976,57729419,46379157,36519889,28055113,28055114 Dl.O(d2) = 265793005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10451926, s2 = 14762424, dlinesl.size( ) = 2 s1 = 10451926, s2 = 14762424, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10451926, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 10452237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10452444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10452455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10452989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10453290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10453435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14122625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14122625, s2 = 13816255, int(edited[s2]) = 0 s1 = 14122625, s2 = 13816255, d1 = 41, d2 = 43 Dl.O(d1) = 261707884,140819314,127458999,259363118,85615860,258731224 Dl.O(d2) = 175991768,185466629,193735313,200826389,206811129,206811127,211756499,211756504,206811131,200826383,193735310,193735311,200826384,206811133,206811134,206811135,211756508,215797585,215797578,215797579,265194419,217087768,217087767,213296295,264328913,196301718,188435685,179403071,262422853,272340225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14122625, s2 = 13816255, dlinesl.size( ) = 8 s1 = 14154305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14154305, s2 = 11624074, int(edited[s2]) = 0 s1 = 14154305, s2 = 11624074, d1 = 6, d2 = 12 Dl.O(d1) = 243862523,244104974 Dl.O(d2) = 267265226,245088365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14154305, s2 = 11624074, dlinesl.size( ) = 8 s1 = 14139485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10454362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10454362, s2 = 11580512, int(edited[s2]) = 0 s1 = 10454362, s2 = 11580512, d1 = 37, d2 = 11 Dl.O(d1) = 37418308,28876684,28876685,37418309,257461207,71446951,71446955,259322403,112934448 Dl.O(d2) = 240730495,240227757,239685275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10454362, s2 = 11580512, dlinesl.size( ) = 8 s1 = 10454683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10455142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10455142, s2 = 11023702, int(edited[s2]) = 0 s1 = 10455142, s2 = 11023702, d1 = 10, d2 = 24 Dl.O(d1) = 119766149,133635839 Dl.O(d2) = 256026652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10455142, s2 = 11023702, dlinesl.size( ) = 32 s1 = 10455427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10455451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144193, s2 = 14127578, int(edited[s2]) = 0 s1 = 14144193, s2 = 14127578, d1 = 17, d2 = 15 Dl.O(d1) = 274470333 Dl.O(d2) = 263579695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144193, s2 = 14127578, dlinesl.size( ) = 22 s1 = 14127577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127577, s2 = 14144194, int(edited[s2]) = 0 s1 = 14127577, s2 = 14144194, d1 = 8, d2 = 10 Dl.O(d1) = 260644998,162195452,173289149,183134139,191739183,263579694,214802827 Dl.O(d2) = 223712799,223712796,221208006,221208007,223712798,225882481,227774928,227774929,229435776,274470332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127577, s2 = 14144194, dlinesl.size( ) = 2 s1 = 14127577, s2 = 14144194, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14127577, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 10456779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10456779, s2 = 11127514, int(edited[s2]) = 0 s1 = 10456779, s2 = 11127514, d1 = 17, d2 = 9 Dl.O(d1) = 260207301 Dl.O(d2) = 76919749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10456779, s2 = 11127514, dlinesl.size( ) = 26 s1 = 14022987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14022987, s2 = 14039964, int(edited[s2]) = 0 s1 = 14022987, s2 = 14039964, d1 = 15, d2 = 14 Dl.O(d1) = 254664701,3861817,2313490,2313491,3861822,3862012,2313565,2313561,2415583,2415585,2313565,2313561 Dl.O(d2) = 2415562,2415560,4030931,6425092,9771985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14022987, s2 = 14039964, dlinesl.size( ) = 16 s1 = 14039963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039963, s2 = 14022988, int(edited[s2]) = 0 s1 = 14039963, s2 = 14022988, d1 = 21, d2 = 18 Dl.O(d1) = 19028525,13582285,9300026,6092107 Dl.O(d2) = 7420384,9300095,6092136,6092133,7420384,9300095,9300094,8841202,8841199,9320074,13611027,254664700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039963, s2 = 14022988, dlinesl.size( ) = 2 s1 = 14039963, s2 = 14022988, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14039963, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 14156519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156519, s2 = 11633156, int(edited[s2]) = 0 s1 = 14156519, s2 = 11633156, d1 = 65, d2 = 0 Dl.O(d1) = 246612525,246537332,246537333 Dl.O(d2) = 245633920,245498208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14156519, s2 = 11633156, dlinesl.size( ) = 42 s1 = 14125917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14125917, s2 = 4859093, int(edited[s2]) = 0 s1 = 14125917, s2 = 4859093, d1 = 2, d2 = 1 Dl.O(d1) = 194168400 Dl.O(d2) = 193474151,263874774,200241034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125917, s2 = 4859093, dlinesl.size( ) = 24 s1 = 10458164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10458164, s2 = 11458178, int(edited[s2]) = 0 s1 = 10458164, s2 = 11458178, d1 = 0, d2 = 4 Dl.O(d1) = 114952713 Dl.O(d2) = 273412618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10458164, s2 = 11458178, dlinesl.size( ) = 14 s1 = 14084773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14084773, s2 = 11414510, int(edited[s2]) = 0 s1 = 14084773, s2 = 11414510, d1 = 6, d2 = 4 Dl.O(d1) = 258764088,260007288,178026015 Dl.O(d2) = 263230029,262328631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14084773, s2 = 11414510, dlinesl.size( ) = 14 s1 = 10458981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113141, s2 = 11029440, int(edited[s2]) = 0 s1 = 14113141, s2 = 11029440, d1 = 7, d2 = 8 Dl.O(d1) = 145112194,131853995,131853994 Dl.O(d2) = 257853384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113141, s2 = 11029440, dlinesl.size( ) = 18 s1 = 14078503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078503, s2 = 11459858, int(edited[s2]) = 0 s1 = 14078503, s2 = 11459858, d1 = 10, d2 = 0 Dl.O(d1) = 259018653 Dl.O(d2) = 159224076,170562275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078503, s2 = 11459858, dlinesl.size( ) = 20 s1 = 10459782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10459956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10460044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10460250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10460250, s2 = 11645140, int(edited[s2]) = 0 s1 = 10460250, s2 = 11645140, d1 = 4, d2 = 13 Dl.O(d1) = 267685275 Dl.O(d2) = 247818857,247825019,267700787,247831510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10460250, s2 = 11645140, dlinesl.size( ) = 8 s1 = 10460886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10460904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10461308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10461721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10461717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10461717, s2 = 10461722, int(edited[s2]) = 0 s1 = 10461717, s2 = 10461722, d1 = 16, d2 = 21 Dl.O(d1) = 240281450,240281440 Dl.O(d2) = 274822923,239162795,274884149,242066507,242066510,274896958,239162798,266700685 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10462182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10462250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15012255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070413, s2 = 14207708, int(edited[s2]) = 0 s1 = 14070413, s2 = 14207708, d1 = 29, d2 = 57 Dl.O(d1) = 52158974,268737053,25199369,32911835,254890728,53461156,42986166,33932050,33932049,42986164,256607788,65212525,62217639,52163586,41842244,32914888,32914887,41835844,41835826,41835825,42774192,42774193,33743954,25936915,19274242,19274241,17824330,17824329,24193645,31701612,40394030,255234182,41407705,41407706,51648393,53224818,42774194,33743948,33743947,42774197,53224820,53224837,51648391,41407704,32549549,24900089,24900090,32549551,41407709,256079412,39503056,39503559,30896097,23462886,23462887,268324029,14121107,14121105,19694509,23462962,17183910,12082612,12082613,17183916,23462920,26432081,22308235,22308236,29660551,30895898,30895690,23462557,23462558,23985077,22219898,17183650,12082456,8124966,5205340,5205341,8124971,12082469,17183679,23462641,17183716,17183717,23462703,18501617,18501614,25035026,26432522,19694462,19694463,19694520,14121111,9715153,8125027,8125026,12082578,17183847,19694606,19694605,26432659,30895901,30895640,26432102,19694085,14120813,9714964,6391189,6391190,9714968,14120819,14121099,14121100,19694475,14121079,9715141,6391283,6391282,9715137,255309645,19694490,19584739,14031109,9715098,9715097,255152945,12082580,17183852,14120789,9714943,9714945,14120792,19694129,26309690,26309689,26432193,26432194,256190823,19694160,14120821,9714970,6391192,254312207,1390998,791014,791015,791022,1391014,2403856,269504148,14121089,19694486,26432553,26432503,26432501,19694457,19694456,26432516,26309697,19584785,14031144,9646443,9646442,14031141,19584779,14120798,9714953,6391183,6391181,9714947,14120795,256190793,29169594,26432149,26432150,34310144,34310338,37729736,29169473,29169474,29660589,22308277,16161568,11228729,11228730,15787686,15787687,21860152,29169564,27026001,22302726,16157056,11225388,7448309,7448310,6528462,4090589,4090588,6528459,6528519,6528521,9933446,10596297,15341033,16157122,16089772,11174986,11174987,11174965,7414186,4684951,2822767,1637677,1637681,2822780,4684982,7414260,11175075,256360867,256173880,71794323 Dl.O(d2) = 98186731,98186730,112149000,125985576,139337119,263076445,186597739,186597738,273735465,263839065,186597739,177272070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14207707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14112397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112397, s2 = 10463175, int(edited[s2]) = 0 s1 = 14112397, s2 = 10463175, d1 = 1, d2 = 1 Dl.O(d1) = 260809142,57748891,57748890,58421543,58421541,68797789,56298019,45259130,35711802,27493054,20492641,14702808,10111132,10111131,10914518,7218260,7218259,7847696,7847697,11753414,16807839,15215261,10495562,6920953,6920954,10495567,11320612,15059673,20969688,16933831,11851705,11851706,12708390,12708387,17935371,15059696,15059694,16051841,11145549,7392622,7392621,7392629,4670445,4670446,7392637,8634777,12709029,12709085,17936464,13180483,13180482,17935361,17935360,24322817,17935734,12708626,8634545,8634544,12708621,8634588,5615201,3488057,3488056,5615198,8634581,11692947,12708745,12709057,12709055,17936420,256051835,36891595,36891594,30462017,23054014,23054015,17935275,17935274,24322710,30045072,255423302,16473855,22669573,254745898,34061417,254340218,22592765,21733719,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10858732,15685564,21677205,28958723,29037791,21745641,15694185,15694186,21745643,22902875,254509320,38887621,37588396,37588395,47492854,58873447,71583072,64328586,52460804,47490360,47490361,58871411,50470119,255422986,47490963,37586321,37586323,42109135,33154577,25413377,25413375,29023077,21733739,15685474,15685475,15697608,21735025,15686325,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733978,21733979,29023359,24235301,17860958,12648291,12648290,17860955,24235289,31745717,31746257,31746256,39356594,30755788,23333091,23333089,30755785,39356588,49283629,51094459,62726585,70309367,70309368,59231403,47833890,47833892,59231406,55269930,55269931,67611082,62629668,61970185,50476737,40439911,40439912,50476739,61970157,50476705,42337563,42337564,37386541,28846304,28846303,37386538,37841285,29274672,21951137,15860616,10993111,10993112,15860623,21951155,29274710,37841334,47466253,37559293,29274575,29274577,37841129,37841114,37841116,47763765,51094498,40951284,32171860,24585951,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622661,258013475,258763356,73490075,73490074,87108951,81078783,67611149,55270030,44422697,35048083,32171913,24585981,24585982,29955820,22591638,22591641,22591583,16408893,16408892,22591581,21733831,21733829,29023151,37569646,32834552,32834553,41755609,47479930,47467939,47467940,58852126,49337723,39797742,31117184,23630702,23630699,31117179,29955334,29955337,38520200,31117132,30560174,30560175,39157335,47485950,52069475,48791511,40274571,38353627,29781011,22415633,16250626,16250627,22415641,29781024,36879958,36879955,46758750,267970736,29955219,254517270,255065078,30553989,254838476,16408703,16408705,22591338,16883151,16883150,23143200,30560192,23300451,17040266,17040265,23300449,30717800,39316219,49243294,49287522,39360472,30759511,23336772,17070488,11981424,11981426,255531397,30759517,39360480,49287527,46422089,36558637,28089230,28089231,31117723,39360495,30759528,23336786,268212982,11981432,16408353,16408352,11458761,7621771,4822288,2905947,2905945,4822283,7621762,11458745,11753883,11753334,7847654,4981562,3009299,3009300,3009311,3009309,4981581,7847682,11753380,16807791,16446323,15981729,15226669,15226668,21179217,15218783,15218782,21179214,23054876,20783931,20783932,18262900,18262899,24736047,32352001,30003360,30003361,30003370,22633853 Dl.O(d2) = 260809142,57748891,57748890,58421543,58421541,68797789,56298019,45259130,35711802,27493054,20492641,14702808,10111132,10111131,10914518,7218260,7218259,7847696,7847697,11753414,16807839,15215261,10495562,6920953,6920954,10495567,11320612,15059673,20969688,16933831,11851705,11851706,12708390,12708387,17935371,15059696,15059694,16051841,11145549,7392622,7392621,7392629,4670445,4670446,7392637,8634777,12709029,12709085,17936464,13180483,13180482,17935361,17935360,24322817,17935734,12708626,8634545,8634544,12708621,8634588,5615201,3488057,3488056,5615198,8634581,11692947,12708745,12709057,12709055,17936420,256051835,36891595,36891594,30462017,23054014,23054015,17935275,17935274,24322710,30045072,255423302,16473855,22669573,254745898,34061417,254340218,22592765,21733719,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10858732,15685564,21677205,28958723,29037791,21745641,15694185,15694186,21745643,22902875,254509320,38887621,37588396,37588395,47492854,58873447,71583072,64328586,52460804,47490360,47490361,58871411,50470119,255422986,47490963,37586321,37586323,42109135,33154577,25413377,25413375,29023077,21733739,15685474,15685475,15697608,21735025,15686325,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733978,21733979,29023359,24235301,17860958,12648291,12648290,17860955,24235289,31745717,31746257,31746256,39356594,30755788,23333091,23333089,30755785,39356588,49283629,51094459,62726585,70309367,70309368,59231403,47833890,47833892,59231406,55269930,55269931,67611082,62629668,61970185,50476737,40439911,40439912,50476739,61970157,50476705,42337563,42337564,37386541,28846304,28846303,37386538,37841285,29274672,21951137,15860616,10993111,10993112,15860623,21951155,29274710,37841334,47466253,37559293,29274575,29274577,37841129,37841114,37841116,47763765,51094498,40951284,32171860,24585951,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622661,258013475,258763356,73490075,73490074,87108951,81078783,67611149,55270030,44422697,35048083,32171913,24585981,24585982,29955820,22591638,22591641,22591583,16408893,16408892,22591581,21733831,21733829,29023151,37569646,32834552,32834553,41755609,47479930,47467939,47467940,58852126,49337723,39797742,31117184,23630702,23630699,31117179,29955334,29955337,38520200,31117132,30560174,30560175,39157335,47485950,52069475,48791511,40274571,38353627,29781011,22415633,16250626,16250627,22415641,29781024,36879958,36879955,46758750,267970736,29955219,254517270,255065078,30553989,254838476,16408703,16408705,22591338,16883151,16883150,23143200,30560192,23300451,17040266,17040265,23300449,30717800,39316219,49243294,49287522,39360472,30759511,23336772,17070488,11981424,11981426,255531397,30759517,39360480,49287527,46422089,36558637,28089230,28089231,31117723,39360495,30759528,23336786,268212982,11981432,16408353,16408352,11458761,7621771,4822288,2905947,2905945,4822283,7621762,11458745,11753883,11753334,7847654,4981562,3009299,3009300,3009311,3009309,4981581,7847682,11753380,16807791,16446323,15981729,15226669,15226668,21179217,15218783,15218782,21179214,23054876,20783931,20783932,18262900,18262899,24736047,32352001,30003360,30003361,30003370,22633853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14112397, s2 = 10463175, dlinesl.size( ) = 2 s1 = 14112397, s2 = 10463175, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14112397, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10463182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10463359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13992889, s2 = 10463522, int(edited[s2]) = 0 s1 = 13992889, s2 = 10463522, d1 = 38, d2 = 30 Dl.O(d1) = 176754726,263579459 Dl.O(d2) = 234961037 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10463514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133089, s2 = 11328474, int(edited[s2]) = 0 s1 = 14133089, s2 = 11328474, d1 = 38, d2 = 30 Dl.O(d1) = 263852048,193852181,193852176,185594279,185594278,193852174,200931775 Dl.O(d2) = 262165480,141007963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133089, s2 = 11328474, dlinesl.size( ) = 44 s1 = 10464291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10464291, s2 = 11404598, int(edited[s2]) = 0 s1 = 10464291, s2 = 11404598, d1 = 16, d2 = 22 Dl.O(d1) = 274605570 Dl.O(d2) = 265381337,219088217,219088218,219088214,215740005,273986817,193635384,185343541,175838601,262211529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10464291, s2 = 11404598, dlinesl.size( ) = 12 s1 = 10464306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101603, s2 = 10464303, int(edited[s2]) = 0 s1 = 14101603, s2 = 10464303, d1 = 63, d2 = 0 Dl.O(d1) = 127379883,140736037 Dl.O(d2) = 46481068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101603, s2 = 10464303, dlinesl.size( ) = 64 s1 = 10464633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10465023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10465121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10465121, s2 = 13223164, int(edited[s2]) = 0 s1 = 10465121, s2 = 13223164, d1 = 9, d2 = 48 Dl.O(d1) = 21204447 Dl.O(d2) = 12297058,8305307,5358656,4455178,4455179,7076584,10711700,7753092,4910264,4910265,7753084,7527270,4760568,4760566,7527264,11330203,16287501,22455690,21391726,21391727,15452085,10683878,7057752,7057751,10683872,8621480,254878231,254459068,8305502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10465121, s2 = 13223164, dlinesl.size( ) = 2 s1 = 10465121, s2 = 13223164, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10465121, Dl.E( ) = 74, 3.79e-05 seconds used appending s1 = 10465162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10465306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10465936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10466135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150157, s2 = 11550956, int(edited[s2]) = 0 s1 = 14150157, s2 = 11550956, d1 = 22, d2 = 8 Dl.O(d1) = 238069763,238069764,238740742,239356812,239923614 Dl.O(d2) = 235634200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150157, s2 = 11550956, dlinesl.size( ) = 40 s1 = 11667724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10467336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10467336, s2 = 15291973, int(edited[s2]) = 0 s1 = 10467336, s2 = 15291973, d1 = 188, d2 = 170 Dl.O(d1) = 238132341,238083863 Dl.O(d2) = 235653332,266314085 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10467378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10467378, s2 = 13447395, int(edited[s2]) = 0 s1 = 10467378, s2 = 13447395, d1 = 9, d2 = 67 Dl.O(d1) = 32830913 Dl.O(d2) = 8997472,8997473,8997464,5874177,5874178,8997466,13198697,13198703,13198704,18573624,25126053,25122562,18570919,18570918,25122560,255832615,18570956,18570957,25122605,26002566,33819759 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14060741, s2 = 11122624, int(edited[s2]) = 0 s1 = 14060741, s2 = 11122624, d1 = 58, d2 = 24 Dl.O(d1) = 49941657,61419668,257888858,256726832 Dl.O(d2) = 43863684,54606661,269614962,273157406,165739431,258866894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060741, s2 = 11122624, dlinesl.size( ) = 48 s1 = 10467829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10468079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147477, s2 = 7393108, int(edited[s2]) = 0 s1 = 14147477, s2 = 7393108, d1 = 9, d2 = 6 Dl.O(d1) = 235301686,236216960 Dl.O(d2) = 238507350,274855468,237814111,237814110,238507345,239142132,239142134,238507350,237814114,266698201,239142139,239725753,240265423,240765886,240532885,240265421,239725748,239142129,239142130,266879535,239142134,238507350,237814114,266698201,239142139,239725753,240265423,240765886,240532886,240015324,266773958,266709556,237475016,266564264,235809339,234852241,266188314,228332937,226500643,224397344,221975411,219155189,215815102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147477, s2 = 7393108, dlinesl.size( ) = 2 s1 = 14147477, s2 = 7393108, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14147477, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 10468419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10468654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10468940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10469488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10470573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10470761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16292859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16292859, s2 = 11654878, int(edited[s2]) = 0 s1 = 16292859, s2 = 11654878, d1 = 21, d2 = 30 Dl.O(d1) = 226235069 Dl.O(d2) = 228090052,229717760,229717761,229717762,228090053,228090052,228090057,265479698,226235077,224104022,221647353,218786167,215397664,211296773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16292859, s2 = 11654878, dlinesl.size( ) = 36 s1 = 10471131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10471210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14135167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135167, s2 = 6799703, int(edited[s2]) = 0 s1 = 14135167, s2 = 6799703, d1 = 8, d2 = 33 Dl.O(d1) = 216042136 Dl.O(d2) = 258653110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135167, s2 = 6799703, dlinesl.size( ) = 2 s1 = 14135167, s2 = 6799703, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14135167, Dl.E( ) = 64, 1.88e-05 seconds used appending s1 = 14092607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10472530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117397, s2 = 11358740, int(edited[s2]) = 0 s1 = 14117397, s2 = 11358740, d1 = 9, d2 = 1 Dl.O(d1) = 159166026 Dl.O(d2) = 146790732,133532504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117397, s2 = 11358740, dlinesl.size( ) = 18 s1 = 10473654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10473929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14066787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14089255, s2 = 14066788, int(edited[s2]) = 0 s1 = 14089255, s2 = 14066788, d1 = 25, d2 = 54 Dl.O(d1) = 259963881,127220615,140566221 Dl.O(d2) = 156338171,167916645,178342727,187543934,273121826,167916605,156338135,143816024,260591852,116652671,259991972,143816048,156338170,167916612,156338142,143816030,130491672,259373950,88546239,74907733,62104254,62104256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14089255, s2 = 14066788, dlinesl.size( ) = 16 s1 = 14066171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14066171, s2 = 2176431, int(edited[s2]) = 0 s1 = 14066171, s2 = 2176431, d1 = 5, d2 = 8 Dl.O(d1) = 47636958 Dl.O(d2) = 59040921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14066171, s2 = 2176431, dlinesl.size( ) = 14 s1 = 14149837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149837, s2 = 11378092, int(edited[s2]) = 0 s1 = 14149837, s2 = 11378092, d1 = 56, d2 = 40 Dl.O(d1) = 266420128,232995711,266221520 Dl.O(d2) = 262681506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149837, s2 = 11378092, dlinesl.size( ) = 62 s1 = 10474678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10474992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10474992, s2 = 11200888, int(edited[s2]) = 0 s1 = 10474992, s2 = 11200888, d1 = 23, d2 = 36 Dl.O(d1) = 222586749 Dl.O(d2) = 260724657,143226574,155777219,273163049,177900579,262346783,143226569,143226568,155777215,167407820,177900575,167407823,155777217,143226572,129897366,115999315,260349322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10474992, s2 = 11200888, dlinesl.size( ) = 28 s1 = 11668164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11668172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14102775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10475613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10476577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10477079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10477079, s2 = 14218397, int(edited[s2]) = 0 s1 = 10477079, s2 = 14218397, d1 = 0, d2 = 20 Dl.O(d1) = 81595043 Dl.O(d2) = 273503101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10477079, s2 = 14218397, dlinesl.size( ) = 12 s1 = 10477356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14122225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14122225, s2 = 11319984, int(edited[s2]) = 0 s1 = 14122225, s2 = 11319984, d1 = 23, d2 = 0 Dl.O(d1) = 175274524,175274525,184835681 Dl.O(d2) = 126578822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14122225, s2 = 11319984, dlinesl.size( ) = 18 s1 = 10477906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10477906, s2 = 10477883, int(edited[s2]) = 0 s1 = 10477906, s2 = 10477883, d1 = 11, d2 = 3 Dl.O(d1) = 68712923,82239851,96258651,260434373,124455289,110406092,96258649 Dl.O(d2) = 110406095,263814731,264591332,272954984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10477906, s2 = 10477883, dlinesl.size( ) = 12 s1 = 10478116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10478116, s2 = 14157238, int(edited[s2]) = 0 s1 = 10478116, s2 = 14157238, d1 = 1, d2 = 1 Dl.O(d1) = 247292586,247322372,247349707,247349708,247349709,247375216,247399789,247375213,247349706,247349707,247375215,247399794,247399792,247399791,267657354 Dl.O(d2) = 247292586,247322372,247349707,247349708,247349709,247375216,247399789,247375213,247349706,247349707,247375215,247399794,247399792,247399791,267657354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10478116, s2 = 14157238, dlinesl.size( ) = 2 s1 = 10478116, s2 = 14157238, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10478116, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10478539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10478913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10478913, s2 = 14079090, int(edited[s2]) = 0 s1 = 10478913, s2 = 14079090, d1 = 0, d2 = 12 Dl.O(d1) = 60814135 Dl.O(d2) = 259690854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10478913, s2 = 14079090, dlinesl.size( ) = 20 s1 = 14079089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079089, s2 = 10478917, int(edited[s2]) = 0 s1 = 14079089, s2 = 10478917, d1 = 7, d2 = 16 Dl.O(d1) = 259690855 Dl.O(d2) = 171257826,160021517,160021516,169253445,157824016,145422838,132193020,118376139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079089, s2 = 10478917, dlinesl.size( ) = 2 s1 = 14079089, s2 = 10478917, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14079089, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 14090957, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14253981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120213, s2 = 11393800, int(edited[s2]) = 0 s1 = 14120213, s2 = 11393800, d1 = 12, d2 = 10 Dl.O(d1) = 262009808,195095041 Dl.O(d2) = 187540776,178339785,167913596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120213, s2 = 11393800, dlinesl.size( ) = 14 s1 = 10479895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10479895, s2 = 11154192, int(edited[s2]) = 0 s1 = 10479895, s2 = 11154192, d1 = 2, d2 = 0 Dl.O(d1) = 200140943,198601413,191111236,191111234,198601412,200140946,198601414 Dl.O(d2) = 184557074,260685248,174951052,164130018,258223246,126136880,112277547,98295933,270283479,46745302,36864129,36466437,254387906,32346328,24730800,24730801,28365911,21151049,21151048,25276364,33001351,41943258,46746551,256519446,23801960,23801961,256517055,39241858,30645492,23223199,23223202,30645494,39241857,37337293,28799440,21533380,21533383,28799445,37337302,257456239,71376589,71376596,58640319,47247165,37337305,28799446,28799445,37337302,47247161,58635253,58635250,58640309,58640308,67657191,256422566,55317750,67657451,81124196,95182566,109438446,259404488,137363188,150404107,162534387,173567121,183363507,191927571,263172034,187454511,178237282,167792127,167792128,167792130,156196368,143666014,130340858,116504309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10479895, s2 = 11154192, dlinesl.size( ) = 2 s1 = 10479895, s2 = 11154192, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10479895, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 10479924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10480068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10480068, s2 = 11570946, int(edited[s2]) = 0 s1 = 10480068, s2 = 11570946, d1 = 0, d2 = 8 Dl.O(d1) = 209305078 Dl.O(d2) = 265926087,231984650,233202823,234305221,235308551,236223329,237057608,237819588,238512581,239146962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10480068, s2 = 11570946, dlinesl.size( ) = 2 s1 = 10480068, s2 = 11570946, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10480068, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10480165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10480705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10480751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10480751, s2 = 11511896, int(edited[s2]) = 0 s1 = 10480751, s2 = 11511896, d1 = 23, d2 = 44 Dl.O(d1) = 263065519 Dl.O(d2) = 265350647,264943659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10480751, s2 = 11511896, dlinesl.size( ) = 46 s1 = 10480925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10480925, s2 = 11648166, int(edited[s2]) = 0 s1 = 10480925, s2 = 11648166, d1 = 13, d2 = 11 Dl.O(d1) = 254727363,4379079,6970524,8115418,5199159,5199158,8115415,11022791,7297854,4603044,2769912,1606185,1606186,2769919,4603060,7297879,11022827,9259570,9259568,13528944,10554405,10530930,10530929,6945141,4364488,4337583,2596792,1498010,848893,848894,1498014,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,15470728,21472733,15470140,10697041,7067012,7067011,7067006,4449474,4449476,7067009,10697039,13523240,9254666,6061098,6061099,9254668,13523243,254852620,12389089,10553274,6960316,5195461,5195462,8109292,8109277,8109276,10534736,15263446,10531302,6945349,6945350,6060557,6060555,6964176,6964175,10559075,9940103,6533218,4093584,4093581,6533213,254977855,255670167,18935881,25548361 Dl.O(d2) = 257798429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10480925, s2 = 11648166, dlinesl.size( ) = 14 s1 = 10480945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10480945, s2 = 11313910, int(edited[s2]) = 0 s1 = 10480945, s2 = 11313910, d1 = 21, d2 = 0 Dl.O(d1) = 224941016,265898951,231708749,232958382,266450691,236906913,266613453,266450687,235119514,266450683,235119500,266535997,236055641,266357811,232958375,266256873,266357807,266147355,230318322,228754544,226978460,224941017,222594949,219863373,274212172,273579350 Dl.O(d2) = 101989736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10480945, s2 = 11313910, dlinesl.size( ) = 12 s1 = 10481094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10481213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11668552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10481504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10481581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10481643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099879, s2 = 11263352, int(edited[s2]) = 0 s1 = 14099879, s2 = 11263352, d1 = 30, d2 = 36 Dl.O(d1) = 257901666 Dl.O(d2) = 120369049,134201796,260295770,134201796,134201793,120369045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10482070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10482070, s2 = 11003296, int(edited[s2]) = 0 s1 = 10482070, s2 = 11003296, d1 = 1, d2 = 1 Dl.O(d1) = 23655675,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167632,21733961,21733965,29023328,37569828,47475664,257682859,40440779,31746235,31746236,40440781,50477657,61970944,257592094,88403213,258291872,37575971,37575972,47481856,58848715,47463850,37556493,37556494,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,43052206,39356881,39138413,39138412,255373494,58268267,46902399,254326532,28526719,37024693,46902402 Dl.O(d2) = 23655675,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167632,21733961,21733965,29023328,37569828,47475664,257682859,40440779,31746235,31746236,40440781,50477657,61970944,257592094,88403213,258291872,37575971,37575972,47481856,58848715,47463850,37556493,37556494,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,43052206,39356881,39138413,39138412,255373494,58268267,46902399,254326532,28526719,37024693,46902402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10482070, s2 = 11003296, dlinesl.size( ) = 2 s1 = 10482070, s2 = 11003296, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10482070, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11668622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10482448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11668632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15045489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15045489, s2 = 11619934, int(edited[s2]) = 0 s1 = 15045489, s2 = 11619934, d1 = 9, d2 = 1 Dl.O(d1) = 244776653 Dl.O(d2) = 243919910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15045489, s2 = 11619934, dlinesl.size( ) = 8 s1 = 14131981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131981, s2 = 11289304, int(edited[s2]) = 0 s1 = 14131981, s2 = 11289304, d1 = 21, d2 = 19 Dl.O(d1) = 204048253,197529106,189873369,180995603,180995601 Dl.O(d2) = 197529101,197529102,197529100,189873364,180995599,170876296,260818064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131981, s2 = 11289304, dlinesl.size( ) = 2 s1 = 14131981, s2 = 11289304, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14131981, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 10483012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10483389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097119, s2 = 11262866, int(edited[s2]) = 0 s1 = 14097119, s2 = 11262866, d1 = 18, d2 = 12 Dl.O(d1) = 257601772,141290700,147203425,133980638,133980637 Dl.O(d2) = 258418290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097119, s2 = 11262866, dlinesl.size( ) = 16 s1 = 10483487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10483487, s2 = 11469874, int(edited[s2]) = 0 s1 = 10483487, s2 = 11469874, d1 = 14, d2 = 11 Dl.O(d1) = 259503621,115881540 Dl.O(d2) = 273160671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10483487, s2 = 11469874, dlinesl.size( ) = 14 s1 = 14104803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104803, s2 = 12464581, int(edited[s2]) = 0 s1 = 14104803, s2 = 12464581, d1 = 0, d2 = 61 Dl.O(d1) = 135138427 Dl.O(d2) = 263536972,201474078,194473555,194473554,261710100,194473557,194473556,260584582,176926460,176926461,166328903,259984400,166328902,154609606,141966159,128605273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104803, s2 = 12464581, dlinesl.size( ) = 6 s1 = 10483951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147229, s2 = 11525128, int(edited[s2]) = 0 s1 = 14147229, s2 = 11525128, d1 = 12, d2 = 15 Dl.O(d1) = 233919068 Dl.O(d2) = 265407487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147229, s2 = 11525128, dlinesl.size( ) = 20 s1 = 14074657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074657, s2 = 11242344, int(edited[s2]) = 0 s1 = 14074657, s2 = 11242344, d1 = 32, d2 = 1 Dl.O(d1) = 257673658,32414026,41239224,51437141,63134926 Dl.O(d2) = 41239213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074657, s2 = 11242344, dlinesl.size( ) = 2 s1 = 14074657, s2 = 11242344, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14074657, Dl.E( ) = 40, 1.72e-05 seconds used appending s1 = 10484688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100765, s2 = 14100778, int(edited[s2]) = 0 s1 = 14100765, s2 = 14100778, d1 = 15, d2 = 4 Dl.O(d1) = 126190006,139565302,152295343,164178895,174995133,184596665,192981249,260505838,192981245,200173837,206247031,211268827,207579113,201732802,261636498,177347730,177347729,174995131,174995130,261636496,260505840,174995132,174995133,184596663,261084842,192981246,184596661 Dl.O(d2) = 201732801,194786568,186669260,177347730,166794648,155098091,260719712,258261502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100765, s2 = 14100778, dlinesl.size( ) = 8 s1 = 10485063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10485201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10485375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10485375, s2 = 11129272, int(edited[s2]) = 0 s1 = 10485375, s2 = 11129272, d1 = 13, d2 = 15 Dl.O(d1) = 7654772,11506985,16512035,22716593,30098495,256621896,27113480,20212098,14503754,9980160,9980157,11757956,11757957,7851835,4983776 Dl.O(d2) = 3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010413,4983518,3010344,3010348,4983571,7851308,11759331,16816354,23065218,25990961,19320140,19320142,25990965,32751195,25059257,18520702,13159253,13159258,18520684,25059222,32751159,32751462,41662500,48997502,269068926,44581665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10485375, s2 = 11129272, dlinesl.size( ) = 12 s1 = 10485763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10485763, s2 = 13993873, int(edited[s2]) = 0 s1 = 10485763, s2 = 13993873, d1 = 6, d2 = 4 Dl.O(d1) = 274503286,264577943,274453526,265256135,216726269,212835788,208077166,202306087,202306086,208077164,264827167,202306089,202306088,264577941,265052477 Dl.O(d2) = 225008346,225008344,222672117,265052475,264577939,263645011,178188600,167733471,167733470,178188597,187414065,263990993,264577929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10485763, s2 = 13993873, dlinesl.size( ) = 2 s1 = 10485763, s2 = 13993873, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10485763, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10485937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10486064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10486064, s2 = 8929127, int(edited[s2]) = 0 s1 = 10486064, s2 = 8929127, d1 = 25, d2 = 145 Dl.O(d1) = 64604937 Dl.O(d2) = 239422754,239422757,239422758,239422756,238815492,238154413,237428257,236628326,235750568,235750567,236628325,237428256,237428255,237428260,236628327,235750568,234785751,234785752,266506823,236628323,266586413,235750563,234785748,233727019,266107341,229838251,228220743,226378705,224263599,265182267,215612432,211536311,206548023,200512092,193363910,185034594,175495591,262193383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10486064, s2 = 8929127, dlinesl.size( ) = 2 s1 = 10486064, s2 = 8929127, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10486064, Dl.E( ) = 150, 5.7e-05 seconds used appending s1 = 10486161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10486251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10486674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10487097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10487132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10487132, s2 = 14059946, int(edited[s2]) = 0 s1 = 10487132, s2 = 14059946, d1 = 2, d2 = 23 Dl.O(d1) = 71955425 Dl.O(d2) = 257237104,49089579,39159945,30562595,23145556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10487132, s2 = 14059946, dlinesl.size( ) = 32 s1 = 10487281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10487281, s2 = 11294858, int(edited[s2]) = 0 s1 = 10487281, s2 = 11294858, d1 = 0, d2 = 13 Dl.O(d1) = 26304790 Dl.O(d2) = 258474435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10487281, s2 = 11294858, dlinesl.size( ) = 14 s1 = 10488026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10488064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10488211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10488327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10488815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10488815, s2 = 11208290, int(edited[s2]) = 0 s1 = 10488815, s2 = 11208290, d1 = 7, d2 = 27 Dl.O(d1) = 39002863 Dl.O(d2) = 11724276,11724277,16769877,23008983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10488815, s2 = 11208290, dlinesl.size( ) = 22 s1 = 10489074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10489074, s2 = 10489053, int(edited[s2]) = 0 s1 = 10489074, s2 = 10489053, d1 = 12, d2 = 7 Dl.O(d1) = 225924590,223761570,265510969,265677657,274451619,225994051,227874949,265959815,265825087,225994054,223837883,223837884,225994055,265517591,223837877,221350182,221350181,223837875,221350188,218445585,214987835,210783570,210783569,214987833,214987830,210783567 Dl.O(d2) = 214987837,210783572,205636568,199414898,263446641,263446643,183517463,173746636,162744941,162744938,262591059,150649106,150649105,150649107,150649108,162744937,262591061,162744944,165926650,165926653,162744942,150649115,137651785,123970484,109831075,109831076,123970486,137651789,141502327,141502328,141502332,261750051,260625971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10489074, s2 = 10489053, dlinesl.size( ) = 14 s1 = 10489052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10489052, s2 = 10489073, int(edited[s2]) = 0 s1 = 10489052, s2 = 10489073, d1 = 4, d2 = 12 Dl.O(d1) = 260625970,261750050,164762217,164762212,164762211,175512894,175512889,164762209,164762208,175512887,185050831,185050842,185050843,185050844,185050837,185050836,262591060,200527022,193379683,193379682,193379680,193379681,262591058,200527023,200527024,206561616,211547775,263446642,263446640,215621681,218988692,221830576,224268637 Dl.O(d2) = 221830581,224268642,224268645,221830583,221830584,224268647,226383029,228224478,228224479,228224471,228224472,229841397,265517590,231277580,229841404,229841403,231277579,265825086,265959814,232310341,230995015,274451618,265677656,265510968,226689007,228499275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10489052, s2 = 10489073, dlinesl.size( ) = 14 s1 = 10489187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10489546, s2 = 8593659, int(edited[s2]) = 0 s1 = 10489546, s2 = 8593659, d1 = 39, d2 = 36 Dl.O(d1) = 238661173,266942039 Dl.O(d2) = 169988421,158625801,258850458,90809545,269976249,18540019,16519654,11512813,7658537,7063818,7063817,7999149,5092146,5092147,7999155,11949865,17035580,15595405,15595404,13957928,13729477,10435168,6879422,4318327,2582732,1649187,1649188,2842980,4718987,7467352,11249249,9405664,9405665,10036729,9405565,9405564,13729787,14537177,10787251,10787252,11950495,11950493,17036390,14599455,14536987,11743001,7840233,4976842,4976841,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068655,9068657,10277663,10263005,10263003,12411012,10255185,6738694,6738695,10255191,14597834,13298144,9079912,5938366,3713163,2223508,2223507,3713161,5938362,9079907,13298137,18691304,20341983,20338545,14596620,13315153,9095871,9095869,5950848,5950847,9095886,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,10276078,8659583,8659584,12742512,17980026,21604534,20826588,20826589,19099757,14979040,14979042,10575392,10575391,10272711,10272710,14936659,255244508,9140788,13373955,254707810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10489546, s2 = 8593659, dlinesl.size( ) = 14 s1 = 10489872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10489872, s2 = 12235714, int(edited[s2]) = 0 s1 = 10489872, s2 = 12235714, d1 = 0, d2 = 24 Dl.O(d1) = 139828742 Dl.O(d2) = 211364892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10490015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10490305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10490305, s2 = 14118626, int(edited[s2]) = 0 s1 = 10490305, s2 = 14118626, d1 = 30, d2 = 18 Dl.O(d1) = 259285921 Dl.O(d2) = 164197438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10490305, s2 = 14118626, dlinesl.size( ) = 46 s1 = 14118625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14118625, s2 = 10490306, int(edited[s2]) = 0 s1 = 14118625, s2 = 10490306, d1 = 15, d2 = 43 Dl.O(d1) = 164060308 Dl.O(d2) = 126089068,112234124,259285920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14118625, s2 = 10490306, dlinesl.size( ) = 48 s1 = 10490821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10490821, s2 = 211120, int(edited[s2]) = 0 s1 = 10490821, s2 = 211120, d1 = 59, d2 = 1 Dl.O(d1) = 255286136 Dl.O(d2) = 5036571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10490821, s2 = 211120, dlinesl.size( ) = 10 s1 = 10490920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10491001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10491001, s2 = 11575942, int(edited[s2]) = 0 s1 = 10491001, s2 = 11575942, d1 = 13, d2 = 0 Dl.O(d1) = 237353871,236545766 Dl.O(d2) = 234689894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10491001, s2 = 11575942, dlinesl.size( ) = 8 s1 = 14120319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120319, s2 = 14183936, int(edited[s2]) = 0 s1 = 14120319, s2 = 14183936, d1 = 58, d2 = 15 Dl.O(d1) = 167396742 Dl.O(d2) = 44459404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120319, s2 = 14183936, dlinesl.size( ) = 2 s1 = 14120319, s2 = 14183936, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14120319, Dl.E( ) = 96, 2.41e-05 seconds used appending s1 = 11791196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11669222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10492098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10492813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10492813, s2 = 7060193, int(edited[s2]) = 0 s1 = 10492813, s2 = 7060193, d1 = 4, d2 = 37 Dl.O(d1) = 33608371 Dl.O(d2) = 262003539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10492813, s2 = 7060193, dlinesl.size( ) = 2 s1 = 10492813, s2 = 7060193, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10492813, Dl.E( ) = 44, 3.39e-05 seconds used appending s1 = 14141533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14060973, s2 = 12235741, int(edited[s2]) = 0 s1 = 14060973, s2 = 12235741, d1 = 32, d2 = 45 Dl.O(d1) = 49306187,39378512,30776990,23353113,255146149,11998040,16188149,16188148,22335734,29688321,38253573,48162801,59549409,259380483,113846049 Dl.O(d2) = 99720767,259374730,140953600,153619972,261717544,185544270,193803710,200886892,263542916,262711482,176081033,176081032,185544247,262711486,176081041,165400086,153619964,153619965,165400087,262232616,193803688,262732552,173253519,162154396,149943089,136806977,136806978,149943091,162154400,262255978,162154403,173253526,183103593,191711435,193803686,185544250,176081035,165400083,260592604,140953596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060973, s2 = 12235741, dlinesl.size( ) = 24 s1 = 14113911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050969, s2 = 11130526, int(edited[s2]) = 0 s1 = 14050969, s2 = 11130526, d1 = 0, d2 = 17 Dl.O(d1) = 29767592 Dl.O(d2) = 31826268,255243784,23809125,31294893,39969219,255660090,33117467,42066371,52410180,64265497,77415394,91334112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050969, s2 = 11130526, dlinesl.size( ) = 2 s1 = 14050969, s2 = 11130526, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14050969, Dl.E( ) = 18, 1.6e-05 seconds used appending s1 = 11791220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10493626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10493626, s2 = 10493623, int(edited[s2]) = 0 s1 = 10493626, s2 = 10493623, d1 = 7, d2 = 5 Dl.O(d1) = 42002805,36757013,35407941,35407942,32102000,24526503,24526504,32102003,32055085,32055086,32691079,25010651,25010652,32691083,38333017,40817512,50937380,41587484,41587485,34961295,26883620,26883621,33247355,33247353,32686781,32686782,36656166,28179965,20997698,20997697,18067730,13126300,8946343,8946342,13125785,8946451 Dl.O(d2) = 257841536,257248466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10493626, s2 = 10493623, dlinesl.size( ) = 10 s1 = 10493624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13994285, s2 = 11028998, int(edited[s2]) = 0 s1 = 13994285, s2 = 11028998, d1 = 43, d2 = 181 Dl.O(d1) = 6759405 Dl.O(d2) = 254669304 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10494776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10494902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10495123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10495194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10495194, s2 = 10495198, int(edited[s2]) = 0 s1 = 10495194, s2 = 10495198, d1 = 1, d2 = 13 Dl.O(d1) = 153250136 Dl.O(d2) = 261000439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10495194, s2 = 10495198, dlinesl.size( ) = 26 s1 = 10495197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10495197, s2 = 10495193, int(edited[s2]) = 0 s1 = 10495197, s2 = 10495193, d1 = 12, d2 = 2 Dl.O(d1) = 261000438 Dl.O(d2) = 153553149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10495197, s2 = 10495193, dlinesl.size( ) = 26 s1 = 10495312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10495312, s2 = 11578886, int(edited[s2]) = 0 s1 = 10495312, s2 = 11578886, d1 = 18, d2 = 2 Dl.O(d1) = 274684780,235449083 Dl.O(d2) = 235449085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10495312, s2 = 11578886, dlinesl.size( ) = 24 s1 = 10495353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10495389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10495389, s2 = 10495361, int(edited[s2]) = 0 s1 = 10495389, s2 = 10495361, d1 = 13, d2 = 5 Dl.O(d1) = 17123560,254801454 Dl.O(d2) = 87128141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10495389, s2 = 10495361, dlinesl.size( ) = 14 s1 = 10495507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10495623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127083, s2 = 11087426, int(edited[s2]) = 0 s1 = 14127083, s2 = 11087426, d1 = 15, d2 = 19 Dl.O(d1) = 262173324,261103044,133605836,119732042,105493456,91271128,77351132,64203458,52353081,42013697,42013696,52353078,64203456,64203457,77351130,64203460,257442434 Dl.O(d2) = 77351122,77351129,258677180,79089469,65733900,53677862,53677863,55271746,44424471,44424472,55271749,63886931,52068831,49378433,49378431,49378459,44418712,37530413,35017052,35017053,44393315,46656906,47438458,37530400,37530401,47438464,58825165,67607553,60779626,49378415,49378412,49378410,44421154,35046635,35046636,44421156,44418669,35044320,35044321,38805036,35047117,26966326,20081471,20081470,26966319,30846135,23416034,23416033,30846131,26963366,26963365,29287109,21961278,21961279,20081451,20081450,26966306,35043993,44418351,52068834,41754997,41754998,35044381,26964105,26964102,35044374,36828655,36828656,44424356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127083, s2 = 11087426, dlinesl.size( ) = 16 s1 = 14131967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131967, s2 = 10144285, int(edited[s2]) = 0 s1 = 14131967, s2 = 10144285, d1 = 96, d2 = 46 Dl.O(d1) = 262843218,185507620,176036486 Dl.O(d2) = 16856350,20903212,22043269,22043268,22038729,22038730,22062851,15958390,15958389,22062848,16846813,11781362,11781363,14222679,11781387,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921464,22070535,22070758,22050410,22050411,25541591,29623983,22272619,16130758,16130762,22272632,29358378,37455791,29507372,22167046,16044195,16044192,22047053,26621294,34610027,43853143,42284420,33304046,25542220,18929565,13494796,9232409,9232410,13494799,18929569,25542225,33304055,37455968,38385198,256464592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131967, s2 = 10144285, dlinesl.size( ) = 64 s1 = 10496601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10496601, s2 = 11287424, int(edited[s2]) = 0 s1 = 10496601, s2 = 11287424, d1 = 25, d2 = 29 Dl.O(d1) = 1250106,1250110,1282887,1283478,1283475,1281442,1281439,2206633,3686222,3673257,3673253,5883496,268139165 Dl.O(d2) = 105089800,258923140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10496601, s2 = 11287424, dlinesl.size( ) = 30 s1 = 10496675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14022441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14022441, s2 = 11168742, int(edited[s2]) = 0 s1 = 14022441, s2 = 11168742, d1 = 25, d2 = 9 Dl.O(d1) = 3397446,2002916,1144916,642233,267756161,663471,1181265,2058698,2039574,2039575,1176474,1176467,1176469,2051037,3429071,254416411,8545238,12594078,17793020,24160398,31670010,31670008,24160397 Dl.O(d2) = 258286469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14022441, s2 = 11168742, dlinesl.size( ) = 20 s1 = 10497433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10497433, s2 = 11259800, int(edited[s2]) = 0 s1 = 10497433, s2 = 11259800, d1 = 34, d2 = 0 Dl.O(d1) = 262429665,132279486,118451794,104280875,90140739,76322415 Dl.O(d2) = 53924290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10497906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143547, s2 = 11632318, int(edited[s2]) = 0 s1 = 14143547, s2 = 11632318, d1 = 54, d2 = 87 Dl.O(d1) = 274593950,233718361 Dl.O(d2) = 244017477,244017478,244247979,267321876,244247980,244461721,267383851,245185684,245339359,245484430,245620888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143547, s2 = 11632318, dlinesl.size( ) = 78 s1 = 14072677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072677, s2 = 11011352, int(edited[s2]) = 0 s1 = 14072677, s2 = 11011352, d1 = 1, d2 = 1 Dl.O(d1) = 257854548,256700570,30028857,30028830,22655009,16462355,16462356,22655010,29531168,22655035,22655036,30028841,22655018,16462361,11470280,11470279,16462359,22655014,30028838,256968841,59910094,72650397,86251470,95277639,81220075,67753651,67753650,257727469,41122268,41122269,51305023,51304856,51304855,62983092,258378094,256105492 Dl.O(d2) = 257854548,256700570,30028857,30028830,22655009,16462355,16462356,22655010,29531168,22655035,22655036,30028841,22655018,16462361,11470280,11470279,16462359,22655014,30028838,256968841,59910094,72650397,86251470,95277639,81220075,67753651,67753650,257727469,41122268,41122269,51305023,51304856,51304855,62983092,258378094,256105492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072677, s2 = 11011352, dlinesl.size( ) = 2 s1 = 14072677, s2 = 11011352, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14072677, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10498111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150413, s2 = 15389628, int(edited[s2]) = 0 s1 = 14150413, s2 = 15389628, d1 = 58, d2 = 86 Dl.O(d1) = 239033807 Dl.O(d2) = 17316976,21693714,28976509,37519803,37519802,42055263,42055265,46411309,37519776,37519775,37519819,28976524,28976520,28976066,21693414,21693415,15653001,15653000,21693499,21693514,15653013,15653015,21693522,28975941,21693311,15652895,10834185,10834183,10834238,15652991,21693483,28976185,37249077,28718177,28718176,21693282,15652878,15652879,17696431,24049846,28976095,28975969,28975970,37519521,28976311,28975667,21693069,15652732,15652731,21693056,21693542,15653030,15653028,21693535,28081338,36549639,28976218,28976219,28976528,21693728,15653146,15653147,15653083,10834276,7161797,4510688,4510678,4510676,7161780,10834249,15653022,15652929,10834203,7161757,4510665,2710493,2710494,4510668,7161763,10834216,15652950,15461751,15461749,21462109,25281325,21693295,21693294,28975921,37519464,28976179,28976180,28975692,24049755,17696355,12516364,8479381,8479382,12516366,16726797,15652779,10834119,10834118,15652774,21693140,28975745,28975980,37519745,37520282,34261845,28976376,21693637,15653091,10834282,10834127,10834126,15652796,15653003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150413, s2 = 15389628, dlinesl.size( ) = 20 s1 = 10498424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10498515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10498716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10498716, s2 = 11482604, int(edited[s2]) = 0 s1 = 10498716, s2 = 11482604, d1 = 11, d2 = 4 Dl.O(d1) = 229581084 Dl.O(d2) = 221448137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10498716, s2 = 11482604, dlinesl.size( ) = 16 s1 = 14157215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14972413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14972413, s2 = 11186894, int(edited[s2]) = 0 s1 = 14972413, s2 = 11186894, d1 = 10, d2 = 11 Dl.O(d1) = 262152227 Dl.O(d2) = 270879568,67826873,67826872,67826873,55485564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14972413, s2 = 11186894, dlinesl.size( ) = 14 s1 = 13994563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10500213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10500638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10500638, s2 = 11583870, int(edited[s2]) = 0 s1 = 10500638, s2 = 11583870, d1 = 17, d2 = 21 Dl.O(d1) = 240934001 Dl.O(d2) = 266497379,234660468 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15134235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16321319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10502911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10503067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16323773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16323773, s2 = 8673080, int(edited[s2]) = 0 s1 = 16323773, s2 = 8673080, d1 = 25, d2 = 0 Dl.O(d1) = 263475617,174676856,262143503,139283867,125934819,272169661 Dl.O(d2) = 112101564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16323773, s2 = 8673080, dlinesl.size( ) = 8 s1 = 10503758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10503816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140151, s2 = 14111265, int(edited[s2]) = 0 s1 = 14140151, s2 = 14111265, d1 = 16, d2 = 14 Dl.O(d1) = 222114475,219317377 Dl.O(d2) = 201193922,194152544,185931584,176502022,165847030,154077825,141403964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140151, s2 = 14111265, dlinesl.size( ) = 14 s1 = 10504228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10504349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10504349, s2 = 12036852, int(edited[s2]) = 0 s1 = 10504349, s2 = 12036852, d1 = 5, d2 = 0 Dl.O(d1) = 62609799,75547811,74080784,61299517,49819892,39799156,31118601,23631971,17316001,17316000,23631969,256080097,256080099,41156670,41156669,46295383,46295384,57639617,59478539,57639725,257517088,83855004,97713826,97713836,83855015,76005797,63022468,63022467,76005796,70329882,70329880,57639702,57639703,63022486,72195139,70329958,57639822,46295577,46295576,57639627,57639626,47043014,255459932,57639765,57639766,47090290,37194447,28672291,28672290,29587182,38153392,48066222,59457340,53072514,42624944,42624945,46805616,39761832,39761833,49780886,61259819,61259814,49780877,49780878,48066239,38153402,38153401,48066236,38153404,38153406,48066244,48088903,38177075,29610258,22259858,22259857,29610255,22259876,16120266,11198027,11198028,16120270,22259879,29610283,38177104,39761837,255898418,36442526,36442502,27983378,20819102,20819103,27983380,36442506,46295513,48066218,42624949,42624948,53072518,65054988,53072510,53072511,65054991,59478521,48088934,48088935,59478523,72215717,72195151,59457374,48066268,38153441,29587218,29587217,38153412,29587191,22239323,16103798,16103799,22239325,29587193,38153414,31083778,23599939,17287334,12166255,8197572,5267651,5267650,8197571,12166251,17287327,23599927,31083759,33974452,26135647,26135649,29587211,29587212,36927397,31025024,31025023,39702144,49720630,60524768,49123652,268402258,41156604,41156605,36927357,36927356,46805600,36927334,36927335,29587208,29587207,33974441,43031463,46805668,36927383,36927384,30599449,29587166,29587167,38153366,39196115,30599441,30599440,30599404,30599406,39196062,49123644,39761848,39761850,48066203,38153372,254527688,46805714,36927411,255083054,15239001,15239002,21205010,256305903,46805725,46805644,36927366,28428742,21204999,21204998,28428738,36927362,46805637,43198332,34112181,34112184,43198340,49123685,60524791,58173116,46805723,36927419,36927420 Dl.O(d2) = 8221792,12191374,268251199,255999811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10504349, s2 = 12036852, dlinesl.size( ) = 2 s1 = 10504349, s2 = 12036852, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10504349, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 14139577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139577, s2 = 11460748, int(edited[s2]) = 0 s1 = 14139577, s2 = 11460748, d1 = 19, d2 = 34 Dl.O(d1) = 265301252 Dl.O(d2) = 265101884,199299183,191932874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139577, s2 = 11460748, dlinesl.size( ) = 36 s1 = 10504814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14063415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063415, s2 = 11267996, int(edited[s2]) = 0 s1 = 14063415, s2 = 11267996, d1 = 18, d2 = 11 Dl.O(d1) = 43046598,33987942,33987943,43046599,50121779,50121780,51540999,63257424,257251921,33987966,255706003,13917871,13917870,19449095,26147140,26147199,33987902,26147093,26147092,33987900,43046556,53526275,270049885,92996421,107405113,260937279,272424491 Dl.O(d2) = 107405116,92996422,92996421,107405114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063415, s2 = 11267996, dlinesl.size( ) = 20 s1 = 14107717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14107717, s2 = 14901716, int(edited[s2]) = 0 s1 = 14107717, s2 = 14901716, d1 = 21, d2 = 22 Dl.O(d1) = 258849422,128986218,115060601,100990122,86997360,73382302,254830812,39309122,30711478,30584732 Dl.O(d2) = 73260742,254830810,49111913,60514694,255541100,73382295,256492246,73382298,60636345,60636346,73382300,86997351,100990115,115060595,115060598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14107717, s2 = 14901716, dlinesl.size( ) = 24 s1 = 10506541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10506541, s2 = 11648380, int(edited[s2]) = 0 s1 = 10506541, s2 = 11648380, d1 = 8, d2 = 21 Dl.O(d1) = 254403822,268112746 Dl.O(d2) = 137385354,137385355,258264738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10506541, s2 = 11648380, dlinesl.size( ) = 16 s1 = 10506600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14931931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10506778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10507094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10507094, s2 = 11415336, int(edited[s2]) = 0 s1 = 10507094, s2 = 11415336, d1 = 5, d2 = 19 Dl.O(d1) = 59988747 Dl.O(d2) = 263473250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10507094, s2 = 11415336, dlinesl.size( ) = 24 s1 = 10507192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10507192, s2 = 7931765, int(edited[s2]) = 0 s1 = 10507192, s2 = 7931765, d1 = 29, d2 = 0 Dl.O(d1) = 65907012,79269082,93395266,260356417,136187516,149438396,161729809,172887276,262142440,127545913,127545912,273694010,193785999,273862821,264755251,219167169,219167151,219167152,264711838,206851971,206851972,211792699,264711834,211792696,264986687,221985415 Dl.O(d2) = 11243587,16176581,22321910,16772621,16772620,11726825,11726826,16773173,21969997,16773076,16773075,16773148,11726807,7828822,7828823,7463559,7463556,7828039,11725702,16771782,22322177,16771913,11725817,7828111,4968906,4968905,7828109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10507192, s2 = 7931765, dlinesl.size( ) = 24 s1 = 10507361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10507361, s2 = 14030816, int(edited[s2]) = 0 s1 = 10507361, s2 = 14030816, d1 = 64, d2 = 15 Dl.O(d1) = 268300802,2156525,1342927,766768,766770,771506,438288,247305 Dl.O(d2) = 14546878,14546879,20274557,27201601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10507361, s2 = 14030816, dlinesl.size( ) = 24 s1 = 14145913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145913, s2 = 10507669, int(edited[s2]) = 0 s1 = 14145913, s2 = 10507669, d1 = 12, d2 = 10 Dl.O(d1) = 231938633,230579226,229053560,227325239,225347315 Dl.O(d2) = 225347316,227325241,229053564,230579228,266166953,266210030,231938641,265840402,225347318,223070800,220431718,217324783,213593892,213593891,217324780,220431714,223070793,223070792,223070793,225347307,227325226,229053547,265840396,227325233,225347310,225347309,227325231,266049269,233164148,231938621,230579219,265840396,229053553,229053564,230579228,266166953,266210030,231938639,231938630,265840398,229053555,230579221,231938627,233164152,233164143,231938618,230579217,230579218,229053549,265921601,231938617,231938616,233164142,266374273,266314260,234272691,266210028,233164149,233164139,265973770,229053545,227325224,225347305,223070790,220431713,220431714,223070793,225347307,227325227,265921601,231938617,231938616,233164142,266374273,235280136,234272694,233164134,231938605,230579209,230579210,230579211,230579212,231938609,231938601,230579206,274457930,227325222,229053542,230579210,231938607,231938612,231938631,265840400,227325237,265782787,230579225,266049271,231938603,266549593,234272711,233164157,231938635,266166955,274691082,265973774,230579231,231938600,266374269,233164134,231938605,230579209,230579210,231938607,230579215,230579214,231938611,231938637,230579230,230579231,231938600,230579204,229053540,265535502,223070789,264954630,263846740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145913, s2 = 10507669, dlinesl.size( ) = 6 s1 = 14043635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043635, s2 = 12036930, int(edited[s2]) = 0 s1 = 14043635, s2 = 12036930, d1 = 1, d2 = 1 Dl.O(d1) = 86011069,72414640,59679479,48292538,38381867,29809730,22442968,16274494,16274493,22442966,29809729,38381866,40111817,31909512,31331424,31331425,40009661,50028271,61506407,74282988,72495360,59761054,48378051,268640995,22558776,16380396,11400213,7575093,4791073,2887964,1676180,1676181,2887966,4791076,7575096,7048882,4436574,2664032,2664031,4436572,7048876,10672347,267892095,2860334,2860333,4746190,7508566,10799371,10799374,9304996,9304995,254929993,6080099,6080100,9281808,13557386,18997487,19065078,13610635,13610500,9319713,6104988,6104926,3819844,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760134,1331171,2294324,3829545,6120818,9344795,13646809,13657054,13657056,19127390,25767127,33556694,256951654,48378042,59761050,72495357,86092759,271342153,141321255,153991667,262247136,185859350,194087278,201137260,207077239,211978877,264714734,210695963,210695962,264686665,210695963,210695962,205541537,199309933,191944593,183382484,173588069 Dl.O(d2) = 86011069,72414640,59679479,48292538,38381867,29809730,22442968,16274494,16274493,22442966,29809729,38381866,40111817,31909512,31331424,31331425,40009661,50028271,61506407,74282988,72495360,59761054,48378051,268640995,22558776,16380396,11400213,7575093,4791073,2887964,1676180,1676181,2887966,4791076,7575096,7048882,4436574,2664032,2664031,4436572,7048876,10672347,267892095,2860334,2860333,4746190,7508566,10799371,10799374,9304996,9304995,254929993,6080099,6080100,9281808,13557386,18997487,19065078,13610635,13610500,9319713,6104988,6104926,3819844,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760134,1331171,2294324,3829545,6120818,9344795,13646809,13657054,13657056,19127390,25767127,33556694,256951654,48378042,59761050,72495357,86092759,271342153,141321255,153991667,262247136,185859350,194087278,201137260,207077239,211978877,264714734,210695963,210695962,264686665,210695963,210695962,205541537,199309933,191944593,183382484,173588069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043635, s2 = 12036930, dlinesl.size( ) = 2 s1 = 14043635, s2 = 12036930, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14043635, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13994899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10508367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111873, s2 = 11507810, int(edited[s2]) = 0 s1 = 14111873, s2 = 11507810, d1 = 0, d2 = 29 Dl.O(d1) = 154293815 Dl.O(d2) = 264241759,264524463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111873, s2 = 11507810, dlinesl.size( ) = 30 s1 = 14072299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072299, s2 = 13994954, int(edited[s2]) = 0 s1 = 14072299, s2 = 13994954, d1 = 13, d2 = 24 Dl.O(d1) = 258527113 Dl.O(d2) = 205498733,263798407,183322113,183322114,191890752,199261811,205498732,274072167,191890745,183322109,183322110,191890747,199261802,205498723,210658519,214873786,218341934,221256491,223753195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072299, s2 = 13994954, dlinesl.size( ) = 2 s1 = 14072299, s2 = 13994954, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14072299, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 13994953, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14144891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144891, s2 = 15250627, int(edited[s2]) = 0 s1 = 14144891, s2 = 15250627, d1 = 29, d2 = 5 Dl.O(d1) = 231698126,232949393,266345225 Dl.O(d2) = 226640113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144891, s2 = 15250627, dlinesl.size( ) = 10 s1 = 10509243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10509243, s2 = 11237192, int(edited[s2]) = 0 s1 = 10509243, s2 = 11237192, d1 = 19, d2 = 10 Dl.O(d1) = 258420943,52768281,42369223,269204334 Dl.O(d2) = 257804923,42369224,33380234,25614589,25614590,33380235,42369227,52768283,64682609 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10509260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10510196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086833, s2 = 14125046, int(edited[s2]) = 0 s1 = 14086833, s2 = 14125046, d1 = 14, d2 = 0 Dl.O(d1) = 259718193,121694738,135638661,148887173 Dl.O(d2) = 121694737,121694738,262034823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086833, s2 = 14125046, dlinesl.size( ) = 12 s1 = 14125045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14125045, s2 = 14086834, int(edited[s2]) = 0 s1 = 14125045, s2 = 14086834, d1 = 11, d2 = 15 Dl.O(d1) = 262034822,141540298,141540297 Dl.O(d2) = 165961416,154202873,141540298,259718192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125045, s2 = 14086834, dlinesl.size( ) = 12 s1 = 10511014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10511014, s2 = 11507774, int(edited[s2]) = 0 s1 = 10511014, s2 = 11507774, d1 = 10, d2 = 9 Dl.O(d1) = 165924414,262399148,154163767,260787874,114250598,100216725,258323024,72648128,86249557,100216722,114250593,128137074,141498236,154163786,262739527,185994841,194210417,185994847,185994846,194210422,264234763,207171018,201247493,194210408,185994830,176571856,165924439,165924440,262864778,176571880,185994852,194210418,263285566,185994791,176571825,165924420,154163769,154163768,165924415,262739521,185994781,263285554,176571864,176571863,185994801,185994802,194210386,185994844,176571869,165924443,154163787,262263377,176571866,165924448,154163791,141498240,128137078,128137077,261357676,128137080,114250598,100216725,258323024,72648128,86249557,100216722,114250593,128137074,141498236,154163786,262739527,185994841,194210417,185994847,185994846,194210422,264234763,207171018,201247493,194210408,185994830,176571856,165924439,165924440,262864778,176571880,185994852,194210418,263285566,185994791,176571825,165924420,154163769,154163768,165924415,262739521,185994781,263285554,176571864,176571863,185994801,185994802,194210386,185994844,263565761,201247495,194210421,194210422,201247498,207171023,207171013,263665358,263285554,176571864,176571863,185994801,185994802,194210386,185994844,176571869,165924443,154163787,141498237,128137075 Dl.O(d2) = 86249557,260024821,261202625,154163784,165924437,176571854,263565757,201247480,201247491,194210401,194210399,264772919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10511014, s2 = 11507774, dlinesl.size( ) = 12 s1 = 11670358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10511294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10511294, s2 = 11361400, int(edited[s2]) = 0 s1 = 10511294, s2 = 11361400, d1 = 11, d2 = 8 Dl.O(d1) = 200820508,263605308 Dl.O(d2) = 193728308,185458017,175981857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10511294, s2 = 11361400, dlinesl.size( ) = 16 s1 = 13995069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10511505, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15047249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15047249, s2 = 11631938, int(edited[s2]) = 0 s1 = 15047249, s2 = 11631938, d1 = 1, d2 = 5 Dl.O(d1) = 245960687 Dl.O(d2) = 267449355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15047249, s2 = 11631938, dlinesl.size( ) = 8 s1 = 10511760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10511760, s2 = 11387214, int(edited[s2]) = 0 s1 = 10511760, s2 = 11387214, d1 = 11, d2 = 16 Dl.O(d1) = 21041537,28240418,36735445 Dl.O(d2) = 125953480,261623995,163877266,174694982,174694983,174694982,184317487,192736400,274179821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10511760, s2 = 11387214, dlinesl.size( ) = 14 s1 = 10511883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10511883, s2 = 13477244, int(edited[s2]) = 0 s1 = 10511883, s2 = 13477244, d1 = 40, d2 = 39 Dl.O(d1) = 13186433,18557740,21699910,28982203,28982202,21701318,21701317,28984063,37528223,28984767,28984766,37528236,37526372,255854603,255854601,37526369,37526366,37526358,37526357,256918982,49223133,39296108,30698488,254761526,17023794,23282967,30698490,39296110,49223136,49936364,257499268,70955571,58238763,46871109,46871108,47434285,268654350,28982733,36992412,28494961,21277793,15660213,254744491,7166839,10840994,15660003,21700080,16246488,11295109,11295108,16246482,21700050,21700049,23758769,23758768,25968673,28494949,36992393,46871093,58238746,49223168,39296153,39296124,39296125,49223151,60624373,49936368,39918446,31242920,31242921,39918449,46871103,49936370,39918452,39918453,49936374,256999568,46871105,37526638,37526639,47433655,39918679,39918424,39918407,31242885,31242884,38344889,48255155,59641748,72375927,60624378,60624379,73370059,74193236,61414467,61414466,258835748,40010119,31331931,23840221,23840223,31331944,31175875,31175876,29388532,29388533,37953606,38365734,29792968,22426991,16260293,16260294,19484387,13943501,9570432,254951297,19484394,26193600,34047906,39918761,39918760,39918604,31243040,31243041,39918607,49936508,59992634,53624271,53624268,65672225,61414666,49936573,39918743,39918742,49936618,39918716,39918717,49881444,48600769,38684677,38684676,48600767,48600748,38684661,38684660,48600745,49936221,39918313,39918314,49936225,257059763,31243174,31243175,39918780,49936673,53624227,43123409,34047888,34047886,43123405,53624221,65672198,74193320,74193321,85590764,85590765,87796749,87796747,74193371,61414652,49936558,49936557,43123429,43123428,269395797,258466715,53624257,43123426,43123427,269561907,79023678,85590763,85590761,270553672,85414514,71826252,61414713,258203724,74193300,61414660,258251235,259493121,74143558,74143561,85669175,258029100,59349830,71931925,61433477,61433476,258040464,37529407,37529408,47437370,58824087,257456884,47853001,255843622,22035909,15934236,15934239,22035923,15994663,15994665,22105794,256381753,47437244,47437243,47437246,47437245,257484392,39748928,38002076,29439010,29439011,38002078,47437201,37529990,28985551,21702503,21702502,28985548,28982791,21700348,21700349,28982794,256889265,28985401,28985402,255512512,28985093,28985084,21702118,21702117,21699717,21699718,15661463,10841771,10841770,15661460,21702024,28984955,37529319,37528212,37528211,32955781,25235799,18666746,18666747,25235802,32955785,33205559,25458184,18858736,18858737,14978571,10310935,10310936,14978579,15659718,15659717,16541469,16541471,21701793,21701795,15661690,10841903,7167369,7167370,10841908,15661699,16217228,16217227,16217256,11273663,7483757,4729439,2849459,2849460,254354224,11273668,15390877,21371274,28605250,31358426,31358425,23864582,17520351,12354946,8347250,5387562,3312914,3312913,254594365,12354940,17520345,256017681 Dl.O(d2) = 48833369,60221016,60221018,72960898,72965702,72965645,60228082,60228083,72965651,60228205,258183121,86249836,72648462,72648461,86249834,86284647,86249810,72965730,72960904,60221029,48823871,38901564,38901566,48823876,60221033,72648510,59907873,48514579,48514580,59907876,72648517,72686100,72686101,72961000,60221144,60221145,72129622,59399005,48011412,38100847,29537323,22194256,22194257,29537328,38100858,48011426,38100890,29537350,22194269,22194268,22194277,22194278,256930581,48514542,38599883,38599882,48011432,38100862,30026984,22653658,255927313,30065785,30026997,22653664,16461471,11469732,7629226,7629229,255106025,22653688,30026968,22653651,22653650,30026966,256968581,59907771,72648405,60225031,48828766,48828767,60225033,59907912,48514624,38599943,30027033,255486187,16461479,22653687,30027038,256968597,59443037,59443017,48051377,256391569,22225314,22225310,24423178,22225670,22225671,29572469,38138493,38138494,38138762,38138763,48051458,48011433,38100864,38100865,48011435,38138530,29572349,29572350,38138532,29572360,29572027,22225359,22225357,16092349,11176930,7415621,7415622,11176932,16092354,16092154,11176799,11176801,16092076,16092075,22225289,16092116,16092115,22225365,22225520,22225519,29572265,29572478,38138677,29572561,29572560,29572483,22225684,16092363,11176938,11176939,16092339,11176919,7415618,7415617,11176914,12853028,12853027,16092078,16092080,22225297,22225708,16092378,16092379,22225696,22225697,16092442,11176998,7415657,4685997,2823451,2823448,4685990,7415610,11176903,16092314,22225546,16092241,11176849,11176848,16092238,22225539,29571906,22225283,22225282,28548980,255895450,28548957,28548956,255457436,29572112,29571883,22225266,16092059,16092058,15964735,15964736,22069652,29400198,29571902,38137952,38137973,29571853,29571854,38137965,38137951,29571841,22225241,22225240,29571838,34218031,38761538,38761537,46926639,46926640,37132496,28620443,21383576,21383577,28620449,28620619,37132691,37132560,28620567,21383665,15400709,10644525,10644526,15400732,15400693,10644499,10644498,15400688,18124848,12852044,12852043,18124846,24564404,32147444,40924866,47020190,37132734,37132564,37132565,47020091,37132657,30623004,268603360,15996708,11105137,11105136,15996707,22108155,29441616,29441688,29441689,33983708,33983709,28728785,28728784,37057167,28556520,21330960,21330959,21497524,21497523,28756898,37057135,41133013,37211411,28756648,21497217,21497218,26143898,26143897,33983727,37260698,37057128,37057129,37290565,37290573,28756672,26143943,19446698,19446699,26143950,24704782,18234006,18234005,24704776,32319225,36466192,28007381,255359199,10277613,10277616,13915988,13915986,19446634,26143853,33983680,256872899,255038923,7076891,7076895,10712187,10712163,7076883,7076884,10712135,10712136,15490579,10712586,10712234,7076913,4455373,4455372,5419139,5419138,4455307,2676455,2676454,4455302,7076778,10712010,15490539,15491186,15491328,15491299,15491301,21497411,22212001,21497740,256223014,21497743,27191260,20266963,14541223,14541222,20145384,14450751,9941797,6534237,4094167,4094166,6534234,9941789,14450739,15491145,15491143,10712489,7077071,7077069,10712481,254984432,28757136,37290827,37260817,37260816,38577206,30006335,22636270,22636271,24311022,24311023,31828522,37290820,31186947,23697207,17375028,12243026,12243025,17375025,23242646,16975157,11887969,11887970,16975164,23242666,30660750,39256461,46974965,46974963,58344094,58344199,50162997,40328434,37091951,37091950,46974959,37092001,37092000,46975020,44581113,44581112,55427972,67767508,55427933,44581049,35202944,27112985,27112986,35202948,37091974,28586082,28586083,28586091,28586090,37091982,46974994,46974992,37091981,28586087,21355511,15378514,10627055,10627056,15378516,21355516,28586097,37091985,46974999,58344116,50174827,50174826,46975127,256140272,37092058,46975073,58344175,47109988,37213135,37213136,47109990,58334065,55336800,55336801,46975029,42010234,42010235,268447184,28586177,28586176,28586135,28586134,21355584,15378561,10627080,7014262,4410151,2644304,2644303,4410147,7014255,10627070,15378507,10627052,7014246,7014245,10627045,15378491,15374999,10624223,10624224,15375002,21351025,28580518,37085014,31358635,255565773,17520416,23864690,31358646,40038621,32751878,32751877,28688604,21438183,15443152,10676732,7052179,7052178,10676725,15443140,21438159,18756964,13356062,9127597,5973059,5973060,9127603,13356073,18756983,25336586,33066110,42010294,35131140,35131138,29299510,21972575,21972574,29299506,37868951,47793714,59194088,71933892,85521929,257325822,109634239,95391701,95391702,107599458 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10512037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10512037, s2 = 11626296, int(edited[s2]) = 0 s1 = 10512037, s2 = 11626296, d1 = 21, d2 = 4 Dl.O(d1) = 246215764,267487472,245961514,245961515,246067460,246167399,246263105,246352891,246263099,246167398,246167399,267511884,246167397,246263103,246263101,246167396,246067458,245961512,245961511,246067456,275021494,275021492,246167382,267487480,267487478,246263095,246263098 Dl.O(d2) = 245848883,245728948,245600418,267393292,245160292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10512037, s2 = 11626296, dlinesl.size( ) = 8 s1 = 14109927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14233755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14233755, s2 = 4163863, int(edited[s2]) = 0 s1 = 14233755, s2 = 4163863, d1 = 9, d2 = 1 Dl.O(d1) = 264181689,211397047,215489160,218870123,221725290,224175593,226300362,228150193 Dl.O(d2) = 228748260,226971526,274361507,219855739,216618406,212712677,207934924,202137854,195240651,273579097,177904259,167412853,155782997,143232457,129902856,116004468,101959386,87986255,74383430,61606840,50126856,50126855,50126858,40106769,31427037,23936060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14233755, s2 = 4163863, dlinesl.size( ) = 2 s1 = 14233755, s2 = 4163863, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14233755, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14108925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108925, s2 = 13995212, int(edited[s2]) = 0 s1 = 14108925, s2 = 13995212, d1 = 17, d2 = 10 Dl.O(d1) = 132971387,119136132,104940250,90760607,76882056,257758043,41650918 Dl.O(d2) = 261408621,158579484,169945289,180121174,189072153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108925, s2 = 13995212, dlinesl.size( ) = 14 s1 = 10514453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10514519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10514519, s2 = 16374074, int(edited[s2]) = 0 s1 = 10514519, s2 = 16374074, d1 = 16, d2 = 56 Dl.O(d1) = 1936621,1106165,620673,344900,189146,103295,56822,56820,103286,103395,103396,189333,345219,621236,1105187,1106793,1106794,1107102,1100538,1100540,1926102,1106236,1106237,1936677,3293008,2006620,1147205,643613,643612,1106342,1106343,1936882,3034954,3294395,3413704,267914505,8543133,8543134,8526186,254868947,5537908,5537909,8539840,7900061,7900062,5370905,5370906,8323421,8611106,5596669 Dl.O(d2) = 38180734,38180717,268402317,22262837,29613701,38180720,48092479,256395153,22262841,22262839,29613706,38180728,48092485,38725715,30144289,30144290,38725716,38725718,268957651,48092542,38180775,255898653,22262861,29613742,38180777,48092544,59138188,71876331,59482025,48092482,38180725,38180724,38656430,30079518,22698234,16495351,11492801,7643819,7643820,268341132,29613704,38180722,39429589,49359237,59964289,59964290,72701796,72219291,59482068,59482061,48092527,38180757,29613726,22262853,16122475,16122473,22262849,29613719,38180745,48092508,257517372,48572250,38656420,30079508,30079509,30065178,22687009,256971581,30079505,30079504,38656414,48092466,38180709,29613694,268634791,48092468,59482000,52633593,52633594,258126875,48092499,268634793,22262845,22262846,29613717,38180742,48092505,59482046,48572248,38656419,38656418,48572245,48092462,38180715,29613699,22262836,16122467,11199517,255083193,22262832,29613690,33269039,33269040,42248371,42248362,42248361,52633585,48092503,48092502,59482042,48572237,38656410,38656411,257509904,72219248,72219249,59482017,48092472,48092473,59482019,72219257,77713395,64532427,52633588,42248363,33269034,33269033,33269030,33269029,42248358,52633581,64532425,77713393,72701807,59964301,48572255,48572256,59964302,59964304,72701811,86299108,84015774,70481913,57781747,57781748,60767205,60767204,59482015,59482016,269980292,72219270,85674356,72087950,59354543,57781737,46426733,46426735,57781740,59457196,258124813,72073364,85660533,77713403,64532436,52633595,42248368,38033892,38033891,29486756,256384505,47963570,59354546,258740011,99622655,270354116,65942246,53874488,268794213,34249358,43349367,53874492,65942253,79306748,70481896,57781735,57781736,70481897,84015763,72195001,59457194,59457195,72195003,259373179,85660535,85660536,85789005,72195006,72195007,85789007,97884563,97884562,111816862,113624673,120197260,105996565,105996564,120197259,134030640,127497416,113624652,99610092,85660515,72073352,59339116,59339117,72073354,85660517,99610095,99610112,256390044,72701294,72701293,85660529,85660530,257512256,270320212,105996571,91801942,77879659,64690107,52776052,52776051,64690105,77879655,85813248,99766990,100261136,100261135,114291181,113624650,113624649,108700994,108700995,122966039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10514519, s2 = 16374074, dlinesl.size( ) = 22 s1 = 13995243, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10514745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10514745, s2 = 11631412, int(edited[s2]) = 0 s1 = 10514745, s2 = 11631412, d1 = 0, d2 = 20 Dl.O(d1) = 243961687 Dl.O(d2) = 267415641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10514745, s2 = 11631412, dlinesl.size( ) = 32 s1 = 14131151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131151, s2 = 11159726, int(edited[s2]) = 0 s1 = 14131151, s2 = 11159726, d1 = 15, d2 = 17 Dl.O(d1) = 264012308,177087428 Dl.O(d2) = 261239655,271365423,258824557,257593393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131151, s2 = 11159726, dlinesl.size( ) = 18 s1 = 14166991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14075101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10516034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10516034, s2 = 11252470, int(edited[s2]) = 0 s1 = 10516034, s2 = 11252470, d1 = 47, d2 = 11 Dl.O(d1) = 126404640,139779036,140335568,126980939 Dl.O(d2) = 44413633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10516034, s2 = 11252470, dlinesl.size( ) = 42 s1 = 10516121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10516121, s2 = 10516069, int(edited[s2]) = 0 s1 = 10516121, s2 = 10516069, d1 = 0, d2 = 0 Dl.O(d1) = 151483502,138782232,272160423,125453443,272160423,111650932,97730144,83871243,70345968,57655408 Dl.O(d2) = 151483502,138782232,272160423,125453443,272160423,111650932,97730144,83871243,70345968,57655408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10516121, s2 = 10516069, dlinesl.size( ) = 2 s1 = 10516121, s2 = 10516069, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10516121, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10516110, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10516641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10516641, s2 = 11275228, int(edited[s2]) = 0 s1 = 10516641, s2 = 11275228, d1 = 28, d2 = 11 Dl.O(d1) = 212865673,208112204,202347204,202347205,202347207 Dl.O(d2) = 156219552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10516641, s2 = 11275228, dlinesl.size( ) = 30 s1 = 10516666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10516687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10516687, s2 = 10516667, int(edited[s2]) = 0 s1 = 10516687, s2 = 10516667, d1 = 17, d2 = 9 Dl.O(d1) = 92578119,78530746,258141690,53251402,65240698,78530744,92578118,100297344,86335405,72738094,72738093,86335403,100297341,114327614,128210454,114327617,100935358,100935360,260631240,86335757,86335498,72738177,60001326,48610020,48610019,60001323,72738172,86335492,100297427,114327651,100297397,86335453,86335454,100297400,100297408,114327660,100297455,86335533,86335532,100297451,86720127,86720126,100297729,258788938,100297742,259413638,86720118,73114379,60374423,258190503,72738100,86335413,72738223,72738225,86335528,100297350,86335761,86335763,86335771,72738521,72738522,86335774,86335447,86335446,86720114,73114377,60374422,48977786,39055611,39055610,48977784,60001302 Dl.O(d2) = 48610457,38694905,30118501,22736809,16530038,16530039,22736813,28621646,21384505,15401326,15401325,21384500,28621639,37133924,47021570,58392874,48610030,38694538,38694539,48610032,268648096,60001331,48610026,38694537,38694424,30118144,22736572,16529897,16529896,22736570,30117967,22736492,16529863,11520407,7663393,7663394,11520409,16529869,22736501,22736660,16529942,11520442,11520441,16529936,22736657,30118291,37605078,29056447,22765918,22765590,22765591,22765947,16552261,16552260,22765944,30118450,22736827,16552230,11536882,11536881,16552225,22765889,30154041,38736247,48610737,52404176,42060256,42060257,48610471,38694924,38694927,48610237,38694919,38694351,30118093,22736549,22736548,30118086,38694285,30118035,22736524,22736523,30118029,30118125,38694224,30117976,30117975,38694234,30118339,30118335,38694693,48610212,60001491,65767056,65767055,65767051,53710287,43198642,34112418,34112417,43198641,52404164,52404161,42060242,33110976,33110975,40127085,31447274,31447273,40127083,50148596,50148644,40127126,40127125,50148642,42765983,42765981,254793436,43198653,53710295,43421607,43421606,53947618,257731262,50148646,40127127,31447309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10516687, s2 = 10516667, dlinesl.size( ) = 2 s1 = 10516687, s2 = 10516667, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10516687, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 10517176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10517176, s2 = 11092148, int(edited[s2]) = 0 s1 = 10517176, s2 = 11092148, d1 = 23, d2 = 3 Dl.O(d1) = 7541766,4770423,4770426,7541779,11350131,16313588,22485663,23345099,23346263,17079487,17079488,19773685,23344802,26585161,30767488,23344327,23344328,30767489,34563634,43836177,255477796,21562451,21562450,21562452,28833260,30769494,26584934,26584935,34565089,38664267,36623172,34562839,34562838 Dl.O(d2) = 26577396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10517176, s2 = 11092148, dlinesl.size( ) = 16 s1 = 11670728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11670728, s2 = 11580874, int(edited[s2]) = 0 s1 = 11670728, s2 = 11580874, d1 = 1, d2 = 17 Dl.O(d1) = 195105419 Dl.O(d2) = 226924856,226924855,265894575,231666007,266354325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11670728, s2 = 11580874, dlinesl.size( ) = 38 s1 = 14135663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10517866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10518172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10518803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10518803, s2 = 12344928, int(edited[s2]) = 0 s1 = 10518803, s2 = 12344928, d1 = 3, d2 = 4 Dl.O(d1) = 239326888 Dl.O(d2) = 266307032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10518803, s2 = 12344928, dlinesl.size( ) = 2 s1 = 10518803, s2 = 12344928, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10518803, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 10519386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10519386, s2 = 13460363, int(edited[s2]) = 0 s1 = 10519386, s2 = 13460363, d1 = 51, d2 = 71 Dl.O(d1) = 213426453,208827599,203234002,196565141,196565140,263271074,263998454,222983803,264832270 Dl.O(d2) = 58747544,58747543,47360734,47360735,58747548,47360733,268619045,21641253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10519386, s2 = 13460363, dlinesl.size( ) = 18 s1 = 10519596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10519630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10519752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10519752, s2 = 11079370, int(edited[s2]) = 0 s1 = 10519752, s2 = 11079370, d1 = 47, d2 = 51 Dl.O(d1) = 635959,635960,883884,927700,522892,293077,162098,162099,293083,522901,635794,635795,528385,295994,163694,163693,295989,528379,540115,353044,287830,283524,193406,193407,105951,58340,32856,32855,46253,46255,48123,26904,26903,48119,85964,85965,156587,283555,288183,513679,635806,352904,352903,512691,541681,541680,569745,352959,352960,635858,893297,540380,540381,352891,193294,105500,57991,57985,57984,105492,193282,310300,171625,167608,92234,92233,167606,302797,254106569,193417 Dl.O(d2) = 254253163,1019833,574668,574672,1019849,1788645,1562559,1562545,888742,509754,285760,285759,509779,903866,1589906,2698030,2698033,4490394,4490392,4736400,7493141,10796606,7295502,4831375,4526415,4491323,4491324,7133732,10796823,15606071,17438138,23766098,31250605,28912255,21637638,21637639,23568825,267831252,12137225,17257335,15607174,15607175,15613413,21131731,22435142,16267381,11310299,7509109,7509110,4746874,2860714,2860712,3294675,4492137,4492139,7135257,10434484,12596119,12193252,8223549,5293749,5293748,7712092,7712089,10793088,7130797,7130796,10793081,11015040,7291861,7291863,7132120,4490134,4490137,7132136,10794843,10711765,7076620,5355677,3291711,3291713,5355660,8301469,8301468,11171380,16085263,22216799,21697852,15658119,10839201,7165457,7165456,10799195,255473217,29802733,38374465,33835716,267959812,254945847,6222112,255291817,26016823,33835722,42878401,255951932,28083449,28083450,36552389,39181205,39181206,269367905,74183287,87787517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10519752, s2 = 11079370, dlinesl.size( ) = 24 s1 = 10519775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10519775, s2 = 6628982, int(edited[s2]) = 0 s1 = 10519775, s2 = 6628982, d1 = 81, d2 = 72 Dl.O(d1) = 267150022,243735258,267036314 Dl.O(d2) = 256704510 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10521385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10521462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10521462, s2 = 12268076, int(edited[s2]) = 0 s1 = 10521462, s2 = 12268076, d1 = 11, d2 = 9 Dl.O(d1) = 133443754,146692862,159058387,262914861 Dl.O(d2) = 146692864,146692865,153262731,140581121,127235724,113378020,259346950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10521462, s2 = 12268076, dlinesl.size( ) = 2 s1 = 10521462, s2 = 12268076, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10521462, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10521875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10522234, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10522901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10523116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10523116, s2 = 11524776, int(edited[s2]) = 0 s1 = 10523116, s2 = 11524776, d1 = 22, d2 = 25 Dl.O(d1) = 266520913,233900281 Dl.O(d2) = 230078233,230078234,230078235,231490428,231490423,231490422,266238169,234943261,233900280,266127399,230078231,228486892,226675677,226675676,274414105,265732549,274670340,231490425,230078232,228486893,226675677,226675676,274414105,265732549,274670340,231490425,230078232,228486897,226675679,224596674,222202441,219413496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10523116, s2 = 11524776, dlinesl.size( ) = 14 s1 = 10523657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14867561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14867561, s2 = 11408048, int(edited[s2]) = 0 s1 = 14867561, s2 = 11408048, d1 = 11, d2 = 9 Dl.O(d1) = 254334328,2640281,1525197,874674,493321,493322,874677,1540297,2661382,4432989,7043922,10665613,15428114,21418617,28664453,31430157,23938907,23938908,28962308,28962307 Dl.O(d2) = 262192665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14867561, s2 = 11408048, dlinesl.size( ) = 12 s1 = 11671106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10524106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10524282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10524507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10524507, s2 = 11542986, int(edited[s2]) = 0 s1 = 10524507, s2 = 11542986, d1 = 28, d2 = 23 Dl.O(d1) = 264561477,207836726 Dl.O(d2) = 265243357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10524507, s2 = 11542986, dlinesl.size( ) = 20 s1 = 14071887, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14155091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155091, s2 = 14150012, int(edited[s2]) = 0 s1 = 14155091, s2 = 14150012, d1 = 1, d2 = 3 Dl.O(d1) = 244659464,244459980,244245963,244015080,244015079,244015078,243767158,267108516,242905196,242905201,242905194 Dl.O(d2) = 242905195,242905199,242575314,242221237,241838256,241423785,240976581,240492967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155091, s2 = 14150012, dlinesl.size( ) = 2 s1 = 14155091, s2 = 14150012, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14155091, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14995805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14995805, s2 = 14135468, int(edited[s2]) = 0 s1 = 14995805, s2 = 14135468, d1 = 32, d2 = 66 Dl.O(d1) = 262474492 Dl.O(d2) = 266255176,238321566,238968301,238968299,238321561,237610790,236829379,266026292,232852177,265432676,265042036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14995805, s2 = 14135468, dlinesl.size( ) = 54 s1 = 13995753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13995789, s2 = 10526090, int(edited[s2]) = 0 s1 = 13995789, s2 = 10526090, d1 = 31, d2 = 11 Dl.O(d1) = 2315625,1343131,1343132,2315626 Dl.O(d2) = 254146472,8707489,10600299,10600300,15346132,12806139,12806112,254517668,5668617,8707409,12806116,18063028,21317037,15345972,10600116,10600114,15345970,20109062,20109063,255437049,10977785,7266085,255063307,20109320,20109321,14444532,9936998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13995789, s2 = 10526090, dlinesl.size( ) = 42 s1 = 10526073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150463, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10526678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097483, s2 = 11465094, int(edited[s2]) = 0 s1 = 14097483, s2 = 11465094, d1 = 24, d2 = 29 Dl.O(d1) = 258660098 Dl.O(d2) = 263486570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097483, s2 = 11465094, dlinesl.size( ) = 40 s1 = 14124219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124219, s2 = 11654026, int(edited[s2]) = 0 s1 = 14124219, s2 = 11654026, d1 = 20, d2 = 13 Dl.O(d1) = 180813135,263343704,261969246,146943542,260269064,175896175,175896177,185387123,193669719,193669723,185387130,260269068,175896181,258398222,258398220 Dl.O(d2) = 140701722,127345420,256123434,98974957,85049902,268489978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124219, s2 = 11654026, dlinesl.size( ) = 18 s1 = 13995839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10527119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10527119, s2 = 11148668, int(edited[s2]) = 0 s1 = 10527119, s2 = 11148668, d1 = 6, d2 = 10 Dl.O(d1) = 272100706 Dl.O(d2) = 183935104,174270574,163420928,151537606,138834976,125503095,111697264,97775809,83917737,70391789,57697919,57697920,46348738,36491027,36491026,28028676,20861397,20861396,28028674,36491028,46348739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10527119, s2 = 11148668, dlinesl.size( ) = 14 s1 = 14133077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133077, s2 = 11580522, int(edited[s2]) = 0 s1 = 14133077, s2 = 11580522, d1 = 37, d2 = 34 Dl.O(d1) = 263896788,219187936,222003356,264988442 Dl.O(d2) = 274465479,265995094,266331170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133077, s2 = 11580522, dlinesl.size( ) = 40 s1 = 14152531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10527840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140195, s2 = 11594962, int(edited[s2]) = 0 s1 = 14140195, s2 = 11594962, d1 = 7, d2 = 5 Dl.O(d1) = 223978407,221509659,265351111,226117040 Dl.O(d2) = 266650467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140195, s2 = 11594962, dlinesl.size( ) = 2 s1 = 14140195, s2 = 11594962, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14140195, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 10528241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10528759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10528960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10528960, s2 = 11091574, int(edited[s2]) = 0 s1 = 10528960, s2 = 11091574, d1 = 18, d2 = 55 Dl.O(d1) = 221881787 Dl.O(d2) = 262203588,261137442,99312401,258848070,29150740,21842482,21842483,29150742,37710969,29208049,21894571,21894572,16902953,11828972,11828971,16902951,23165595,25695642,19070427,19070428,25695644,33468565,269308852,48685518,38763732,30180380,22791287,255937671,36445363,27985823,258619427,97717529,100363135,105916157,105916158,120128232,105916171,91708856,77781162,64598281,64598280,77781160,260286123 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10529160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10529160, s2 = 10529170, int(edited[s2]) = 0 s1 = 10529160, s2 = 10529170, d1 = 0, d2 = 15 Dl.O(d1) = 217769790 Dl.O(d2) = 265125632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10529160, s2 = 10529170, dlinesl.size( ) = 2 s1 = 10529160, s2 = 10529170, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10529160, Dl.E( ) = 22, 2.81e-05 seconds used appending s1 = 10529171, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15290721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15290721, s2 = 11438422, int(edited[s2]) = 0 s1 = 15290721, s2 = 11438422, d1 = 30, d2 = 25 Dl.O(d1) = 27986864,24117472,20908708,15003665,15003666,16299077,255790354,30440693,23033877,23033876,254253956,30828362,30440206,23033365,16790007,11739759,11739761,12014700,17100448,23368956,30795127,29493941,29493943,29083495,29083494,30440077,39029297,30440256,23033410,16790039,11739775,11739774,11739735,7838132,4975533,4975535,7838135,11739740,13210302,18589662,18589665,23833116,31323663,40001524,35019210,26938189,20052264,20052263,26938187,35019209,40102660,47616700,37691840,32852867,25146010,25146011,23033461,16790070,11739794,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008,21492518,21492520,28752236,35012147,26930519,26930520,23418233,23418228,25144603,28863854,26937936,26937937,29493817,29493818,35019002,254357576,25409083,25409082,33149568,42103664,254511342,37274683,35005664,35005665,39319978,30721749,23304211,17043523,11956539,11956540,17043525,23304214,30721755,33149554,25409066,25409067,29826447,30721891,23304357,17043647,17043648,23304353,30721886,39320085,42103364,42103363,48705616,44071589,44071590,47495423,58875536,255938766,91227820,105450172,119688939 Dl.O(d2) = 260036762,170537741,170537742,170537748,260636842,170537747,261759872,262748646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15290721, s2 = 11438422, dlinesl.size( ) = 36 s1 = 10529839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048693, s2 = 6655918, int(edited[s2]) = 0 s1 = 14048693, s2 = 6655918, d1 = 3, d2 = 1 Dl.O(d1) = 34256664,43356593,43356598,43356597,52545449,42186717,42186718,52545451,64419584,257539802,77289686,70444074,57748949,46398146,36537261,28070348,28070347,256815053,49270006,39344337,30745147,23324095,23324097,30745151,31689013,31689014,31688984,24180295,24180296,31688985,31272163,23786608,17455758,255198127,12610139,17455762,12305621,8311712,8297738,5352963,3289906,1934679,1105065,1105064,1934677,3289904,3454285,5570355,8523257,8526614,255164657,8259040,8259041,8261215,7899660,7899661,8521083,8521082,254873371,3452896,2045972,2045971,1934754,1934753,3290027,3411746,2013472,1151598,1151597,1767044,3035773,2017731,1154304,1154307,2017737,1154347,1154344,1598036,1598035,2009911,2009909,3407136,5328790,5014471,4892709,2948501,2023692,1158107,649756,649753,1158089,1149105,1149108,1935903,2008602,2008603,3405481,3455040,3455041,3293029,3293025,2048214,1174525,659346,365463,365465,659358,1174545,2048247,3454849,3452687,3452671,3452674,5018031,3035863,3035864,3406626,5519903,5359396,3294427,1937562,1937561,1639754,932433,525556,294510,294508,525547,932413,1639712,2826145,2008935,1148683,1148682,2008928,2009113,1148818,644468,357679,195911,106915,106913,195902,357656,644421,1148571,644344,357621,357620,644341,1148562,1767970,3037028,3379441,3455578,3039097,1769596,1769599,2234809,1296048,1296047,1705594,1705592,2234799,2234798,1705653,1705656,2030692,1989343,1175883,660077,654638,363015,363016,654631,1166449,2036233,2015831,1168042,1168046,2038454,3443371,5525343,4690319,4690318,3405834,2008850,2008854,1926849,1100930,1100928,1157639,1157636,2022856,2043396,3449822,5355836,3291812,1935873,1935870,3291800,5355818,3442523,3442521,5556113,5556114 Dl.O(d2) = 8302019,12292403,268004492,12612387,17814423,24182813,31691381,31711792,24204101,24204102,31711793,38312398,38312397,40384949,40384948,36700725,255801493,21016638,21016652,21016650,256289561,46587534,257001204,17821073,12617668,12617667,17821071,23995314,17651507,17651508,23995316,22394697,22394698,29755384,31056361,23572712,17261337,12141021,8170453,8170452,267840951,1872436,254261815,5239480,8170459,7528606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048693, s2 = 6655918, dlinesl.size( ) = 2 s1 = 14048693, s2 = 6655918, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14048693, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 10530298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10530298, s2 = 12889104, int(edited[s2]) = 0 s1 = 10530298, s2 = 12889104, d1 = 41, d2 = 93 Dl.O(d1) = 149515946 Dl.O(d2) = 15965076,15965077,22070035,29400560,37965029,47883662,40651773,31931558,31931559,27158598,24653206,18195323,12905650,12905651,18195325,24653208,24653203,24653204,32252391,41045520,51201661,62851055,75814560,84651000,71088433,58372150,47001982,47001983,51097018,51097017,40954014,37358129,37358127,255745548,67652730,81119281,95177827,109434015,123627562,123630855,259806248,121996322,107622445,93219376,79102865,65747074,255759222,43179548,42003998,33154814,33029991,25303659,25303661,33029995,41973160,44767996,35342387,35342386,38566851,29996363,29996364,30754248,23331736,23331734,19516966,13970727,13970728,19516969,26233124,33030013,41973187,35349105,35349033,27226039,27226040,27226058,20297452,20297453,27226063,35349069,27227012,27227013,35350072,44774648,44774647,52461865,44767378,35341121,27217189,20288995,17065054,11974117,8019674,8019675,11974121,17065062,23331723,30754227,35342575,35342576,44768339,39142050,30543412,23124845,23124844,20289776,254985403,10018684,14559478,20289726,14559459,14559458,20289741,27218135,33510196,33510199,27218642,27218643,35342488,27219002,20290432,14559948,10019000,10018999,14559947,14558911,10018303,254985335,10018292,6584767,4125641,4125642,2468096,1426610,811489,459828,459829,811492,1426616,2468103,4125727,6584921,10018476,10018474,14558915,20288955,20297253,20298399,20297481,20297480,20298398,20007822,14565751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10530298, s2 = 12889104, dlinesl.size( ) = 14 s1 = 13995971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062869, s2 = 11285210, int(edited[s2]) = 0 s1 = 14062869, s2 = 11285210, d1 = 31, d2 = 16 Dl.O(d1) = 257806783 Dl.O(d2) = 106019233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062869, s2 = 11285210, dlinesl.size( ) = 32 s1 = 10532209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10532209, s2 = 11565674, int(edited[s2]) = 0 s1 = 10532209, s2 = 11565674, d1 = 8, d2 = 7 Dl.O(d1) = 274645052,274529375,265771687,230442470,230442459,266040039 Dl.O(d2) = 266543502,233060512,266620293,266327692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10532209, s2 = 11565674, dlinesl.size( ) = 2 s1 = 10532209, s2 = 11565674, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10532209, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10532505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10532505, s2 = 14121284, int(edited[s2]) = 0 s1 = 10532505, s2 = 14121284, d1 = 11, d2 = 8 Dl.O(d1) = 265489264,221516346,221516353,223984623,223984653,221516384,218636178,215214098,215214097,218636175,221516375,221516373,223984641,226123011,223984656,221516386,221516385,223984636,223984637,226123008,227985401,226122994,226122992,227985400,229621494,229621492,265802546,265652884,265308226,215214094,264647576,199827468,199827467,205976095,211059558,215214082,218636160,221516353,223984623,226122999,226123019,223984658,221516389,265351905,274382322,265687433,226123008,227985401,226122994,226122992,227985400,229621494,229621492,265802546,265652884,265308226,215214094,264647576,205976099,211059566,215214095,218636171,221516373,223984641,226123011,223984656,265528063,223984647,265687437,229621502,227985406,226123002,223984632,223984633,223984631,221516367,221516359,218636162,218636161,221516356,221516371,221516370,223984637,226123008,227985401,226122994,226122992,227985400,229621494,229621492,227985398,226123015,226123014,226123016,265833831,226123017,226123018,227985415,265802544,223984620,265652882 Dl.O(d2) = 227985416,265652886,223984624,265687431,229621499,227985416,265652886,221516388,218636180,215214100,211059568,205976100,199827469,192553358,263372762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10532505, s2 = 14121284, dlinesl.size( ) = 2 s1 = 10532505, s2 = 14121284, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 10532505, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 10532758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10533011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13996111, s2 = 12427378, int(edited[s2]) = 0 s1 = 13996111, s2 = 12427378, d1 = 0, d2 = 0 Dl.O(d1) = 203777204,197213229,189517778,180612205,170474156,159131589,146757507,260850959,272241928,64105727,64105719,269980567,91171056,105393082,91171068,77252543,77252542,91171066,105393089,105393087,91171064,77252540,64105737,64105736,259638437,269980569 Dl.O(d2) = 203777204,197213229,189517778,180612205,170474156,159131589,146757507,260850959,272241928,64105727,64105719,269980567,91171056,105393082,91171068,77252543,77252542,91171066,105393089,105393087,91171064,77252540,64105737,64105736,259638437,269980569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13996111, s2 = 12427378, dlinesl.size( ) = 2 s1 = 13996111, s2 = 12427378, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 13996111, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10534063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120849, s2 = 11428832, int(edited[s2]) = 0 s1 = 14120849, s2 = 11428832, d1 = 9, d2 = 1 Dl.O(d1) = 263320447,196705708,188940107,188940108,264035543,203352816,208923874,203352812,203352813,203352818,196705716,188940104,179977152,179977153,188940106,196705720,264066918,273929036,196705707,196705708,196705721,264338729,203352815,208923877,203352821,264066918,188940096,188940097,273778997,213501098,264367392,196705717,188940104,179977152,179977153,188940106,264035545,264367394,264338729,196705712,188940099,188940095,179977145,179977144,179977154,188940108,264035543,203352816,264066920,263358562,179977147 Dl.O(d2) = 179977147,263695957,196705714,188940100,179977151,262485820,146046869,146046864,146046865,146046868,260886726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120849, s2 = 11428832, dlinesl.size( ) = 2 s1 = 14120849, s2 = 11428832, "passes" = passes Sat Dec 09 04:19:11 2017: s1 = 14120849, Dl.E( ) = 10, 8.11e-06 seconds used appending s1 = 15157300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11671784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10535389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10535411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10535411, s2 = 14121522, int(edited[s2]) = 0 s1 = 10535411, s2 = 14121522, d1 = 17, d2 = 18 Dl.O(d1) = 87592996,73992813,73992812,73992814,73992806,269388929 Dl.O(d2) = 272252759,155385539 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10535657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10536335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10536619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10537091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10537098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15010509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15010509, s2 = 11209692, int(edited[s2]) = 0 s1 = 15010509, s2 = 11209692, d1 = 22, d2 = 16 Dl.O(d1) = 263162514 Dl.O(d2) = 259311906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15010509, s2 = 11209692, dlinesl.size( ) = 26 s1 = 10537197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11671892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14085577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14085577, s2 = 14099568, int(edited[s2]) = 0 s1 = 14085577, s2 = 14099568, d1 = 1, d2 = 9 Dl.O(d1) = 90115609 Dl.O(d2) = 118408301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14085577, s2 = 14099568, dlinesl.size( ) = 20 s1 = 14099567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099567, s2 = 14085578, int(edited[s2]) = 0 s1 = 14099567, s2 = 14085578, d1 = 6, d2 = 0 Dl.O(d1) = 113991102 Dl.O(d2) = 86008358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14099567, s2 = 14085578, dlinesl.size( ) = 18 s1 = 10537460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10537784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10537784, s2 = 11119998, int(edited[s2]) = 0 s1 = 10537784, s2 = 11119998, d1 = 3, d2 = 11 Dl.O(d1) = 2402361,1390082,1390083,2327464,1352782,771655,438371 Dl.O(d2) = 2310640,3856775,6163762,9407649,13732439,19223689,16657046,11624647,7742916,4903019,2955128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10537784, s2 = 11119998, dlinesl.size( ) = 12 s1 = 10537928, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10537928, s2 = 10191736, int(edited[s2]) = 0 s1 = 10537928, s2 = 10191736, d1 = 27, d2 = 29 Dl.O(d1) = 225440412,227404569,229122251,266053679,231991431,233209522,234311824,235315481,235315483,236230258,237063871,237063870,237824730,237824739,237824740 Dl.O(d2) = 105533279,91315306,77396340,64245574,52389677,42045611,33097473,25363912,18781114,18781113,25363910,33097470,42045606,52389671,64245569,259022875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10537928, s2 = 10191736, dlinesl.size( ) = 2 s1 = 10537928, s2 = 10191736, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10537928, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 11671976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14121819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10539033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147235, s2 = 11374738, int(edited[s2]) = 0 s1 = 14147235, s2 = 11374738, d1 = 40, d2 = 0 Dl.O(d1) = 266206018 Dl.O(d2) = 154472955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147235, s2 = 11374738, dlinesl.size( ) = 40 s1 = 14153985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10539384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10539384, s2 = 11502260, int(edited[s2]) = 0 s1 = 10539384, s2 = 11502260, d1 = 28, d2 = 6 Dl.O(d1) = 238932691 Dl.O(d2) = 233481516,232292104,265167008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10539384, s2 = 11502260, dlinesl.size( ) = 36 s1 = 13996445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13996445, s2 = 11454824, int(edited[s2]) = 0 s1 = 13996445, s2 = 11454824, d1 = 17, d2 = 47 Dl.O(d1) = 221840329 Dl.O(d2) = 273877700,193403806,193403807,200546862,200546860 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10539540, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10539540, s2 = 4322690, int(edited[s2]) = 0 s1 = 10539540, s2 = 4322690, d1 = 104, d2 = 54 Dl.O(d1) = 258754466,74839468 Dl.O(d2) = 154769208,166474727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080881, s2 = 11366956, int(edited[s2]) = 0 s1 = 14080881, s2 = 11366956, d1 = 19, d2 = 6 Dl.O(d1) = 84084607,258416568,259043501,260286247,120129319,133971429 Dl.O(d2) = 170882011,169958146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080881, s2 = 11366956, dlinesl.size( ) = 12 s1 = 14153535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153535, s2 = 7784849, int(edited[s2]) = 0 s1 = 14153535, s2 = 7784849, d1 = 112, d2 = 105 Dl.O(d1) = 242946301,243251100,243268492 Dl.O(d2) = 267137054,243274279,242970966,242970967,243274278,243274277,243557593,267101344,243557595,243820521,267137052,243557594,243274279,274895370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153535, s2 = 7784849, dlinesl.size( ) = 52 s1 = 14152039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152039, s2 = 11562414, int(edited[s2]) = 0 s1 = 14152039, s2 = 11562414, d1 = 39, d2 = 35 Dl.O(d1) = 267059085,242356582,267112232,243321021,267211480 Dl.O(d2) = 267062158,236986944,266369314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152039, s2 = 11562414, dlinesl.size( ) = 46 s1 = 10540450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10540450, s2 = 14156703, int(edited[s2]) = 0 s1 = 10540450, s2 = 14156703, d1 = 17, d2 = 22 Dl.O(d1) = 245931335,246039680,246141312,246238643,246238635,246141307,267544011,246496744 Dl.O(d2) = 246329992,246415847,246496752,246573890,246646614,246646618,246646613,246573889,246496737,246415835,246329980,246329982,246415839,246496742,246496749,267544015,267544013,246496738,246415835,246329980,246329981,246415838,267544019,246238641,267512773,245931334,246039679,267512775,246039680,246141312,246238643,246238635,246238636,246329982,246415839,246496742,246496749,267544015,246238637,267534321,246415840,246496746,275047819,246496741,267544019,246238641,267512773,245931334,246039679,246141308,267534319,246238638,275053600,246573893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10540450, s2 = 14156703, dlinesl.size( ) = 20 s1 = 10540759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10540966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10541195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14257453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10541302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10541353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10542341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10542341, s2 = 14128962, int(edited[s2]) = 0 s1 = 10542341, s2 = 14128962, d1 = 8, d2 = 8 Dl.O(d1) = 267055500,242196958,242552692,242552693,242884053,243192455,243481648,243192446,242884044,242552686,242196954,242196955,242552687,242884046,243192417,242884017,242884016,243192415,243481616,243750571,274936546,243192424,242884024,242552670,242552669,242552695,242196960,241812391,241395784,241395782,241812384,267013532,242552684,267131688,242884041,242552683,267013530,240946021,274851514,241812386,242196955,242552687,242884046,243192417,243192416,242884038,242552680,242552681,242884036,267131690,242884054,243192440,242884039,274916430,242552686,242552685,242884043,243192417,242884017,242884016,243192415,243481616,243750571,274936546,243192424,242884024,242552670,242196946,241812378,241395774,240946018,240460238,239936583,266682034,237350892,266353120,234685374,233620644,232449773,231154608,229709933,228081871,226226426,224094952,264809414,215385740,211283812 Dl.O(d2) = 267055500,242196958,242552692,242552693,242884053,243192455,243481648,243192446,242884044,242552686,242196954,242196955,242552687,242884046,243192417,242884017,242884016,243192415,243481616,243750571,274936546,243192424,242884024,242552670,242552669,242552695,242196960,241812391,241395784,241395782,241812384,267013532,242552684,267131688,242884041,242552683,267013530,240946021,274851514,241812386,242196955,242552687,242884046,243192417,243192416,242884038,242552680,242552681,242884036,267131690,242884054,243192440,242884039,274916430,242552686,242552685,242884043,243192417,242884017,242884016,243192415,243481616,243750571,274936546,243192424,242884024,242552670,242196946,241812378,241395774,240946018,240460238,239936583,266682034,237350892,266353120,234685374,233620644,232449773,231154608,229709933,228081871,226226426,224094952,264809414,215385740,211283812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10542341, s2 = 14128962, dlinesl.size( ) = 2 s1 = 10542341, s2 = 14128962, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10542341, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 10542498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10542498, s2 = 11402034, int(edited[s2]) = 0 s1 = 10542498, s2 = 11402034, d1 = 5, d2 = 6 Dl.O(d1) = 264442082,264939642 Dl.O(d2) = 170478343,159136102,261419911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10542498, s2 = 11402034, dlinesl.size( ) = 2 s1 = 10542498, s2 = 11402034, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10542498, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10542720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10543164, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10543164, s2 = 11271670, int(edited[s2]) = 0 s1 = 10543164, s2 = 11271670, d1 = 19, d2 = 0 Dl.O(d1) = 263961294,207695738,274115193,216436366,219697045 Dl.O(d2) = 222305453,273524702,261634246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10543164, s2 = 11271670, dlinesl.size( ) = 18 s1 = 16293317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16293317, s2 = 10543353, int(edited[s2]) = 0 s1 = 16293317, s2 = 10543353, d1 = 7, d2 = 14 Dl.O(d1) = 119674406,119674407,119674409,105435869,260258755 Dl.O(d2) = 170525151,180659276,189559613,273784661,209288488,213781455,217467880,265087615,197250366,197250365,189559633,189559634,189559615,262919911,159183799,146808512,133549658,119674405,271527951,91213529,77293214,77293215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16293317, s2 = 10543353, dlinesl.size( ) = 8 s1 = 10543547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10543547, s2 = 10543543, int(edited[s2]) = 0 s1 = 10543547, s2 = 10543543, d1 = 20, d2 = 18 Dl.O(d1) = 255474224,14539309,20264387,26614628,34601979,257285701,66871975,80301326 Dl.O(d2) = 108645671,260969971,136742249,149883738,162096048,173196574,183048737,191659408,199064169,264411245,210513997,214751309,218238167,221167664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10543547, s2 = 10543543, dlinesl.size( ) = 18 s1 = 10543544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10543757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10543757, s2 = 7527039, int(edited[s2]) = 0 s1 = 10543757, s2 = 7527039, d1 = 3, d2 = 46 Dl.O(d1) = 241697338 Dl.O(d2) = 267506516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10543757, s2 = 7527039, dlinesl.size( ) = 24 s1 = 10544746, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14024921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14024921, s2 = 11033644, int(edited[s2]) = 0 s1 = 14024921, s2 = 11033644, d1 = 7, d2 = 10 Dl.O(d1) = 5442646,5442648,8430800,10937543,7237021,7237020,10937541,12457919,17635115,17652004,12481595,8452560,5460224,5460225,8452562,8427899,267845593,1966550,1966551,1967961,1123879,1123880,1962946,1962947,3337880,4562618,7237476,10938076,15788123,15788195,21860439,29169792,268264637,12682707,12446870,8415283,5430854,5430855,8415285,8447440,8447434,8447433,8442417 Dl.O(d2) = 255186337,8438566,8438567,255183429,8413316,254405521,1962844,1121177,1121178,1962846,3336848,5428061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14024921, s2 = 11033644, dlinesl.size( ) = 12 s1 = 10545098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10545161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10545211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10545369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14104195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104195, s2 = 11433196, int(edited[s2]) = 0 s1 = 14104195, s2 = 11433196, d1 = 1, d2 = 7 Dl.O(d1) = 133508318 Dl.O(d2) = 209262547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104195, s2 = 11433196, dlinesl.size( ) = 2 s1 = 14104195, s2 = 11433196, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14104195, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 14142299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10546285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14084237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14084237, s2 = 11364086, int(edited[s2]) = 0 s1 = 14084237, s2 = 11364086, d1 = 30, d2 = 3 Dl.O(d1) = 256833130,17453139,16999033,16999032,17773308,255585471,12578019,8531257,8531256,12578017,12036448,8091863,8091864,7452607,4708689,2836580,2836581,2837919,1646313,936138,254237269,2042658,2042659,3404302,3404303,2837488,2837489,3404919,2014973,1153779,1153781,1154471,1154470,2017971,2039613,1168844,656014,363705,363703,656006,1168827,2039589,3444793,3444727,3444728,3411565,2013296,1151478,645944,358442,358443,645947,1151483,2013307,3411575,5525104,254612385,254280437,1164199,1146334,643041,643039,1146327,2005324,1997343,1997342,1996724,1996725,2023921,2023920,1992593,1138693,638869,354761,354760,638871,1138702,1992607,2008754,2008752,3405678,2044727,1172287,1172286,1164419,653700,653701,368744,368745,362482,198409,198406,356487,450817,253960,253959,450813,795481,1150331,645288,645287,1150329,2011503,2013504,1151625,646033,646032,1151623,255585079,31636889,40326359,50353396 Dl.O(d2) = 61837504,61837505,260742675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14084237, s2 = 11364086, dlinesl.size( ) = 22 s1 = 14868185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14868185, s2 = 6174758, int(edited[s2]) = 0 s1 = 14868185, s2 = 6174758, d1 = 0, d2 = 65 Dl.O(d1) = 21781565 Dl.O(d2) = 243245264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14868185, s2 = 6174758, dlinesl.size( ) = 66 s1 = 10547297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10548086, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10548470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10548470, s2 = 10548454, int(edited[s2]) = 0 s1 = 10548470, s2 = 10548454, d1 = 21, d2 = 7 Dl.O(d1) = 229888397,229888396,265989327,232602708,232602711,231319585,231319583,231319584,232602710 Dl.O(d2) = 238834248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10548470, s2 = 10548454, dlinesl.size( ) = 18 s1 = 10548458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10548502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143103, s2 = 11527102, int(edited[s2]) = 0 s1 = 14143103, s2 = 11527102, d1 = 17, d2 = 13 Dl.O(d1) = 229148402,266056087 Dl.O(d2) = 232011641,230662450,229148403,227603607,265780522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143103, s2 = 11527102, dlinesl.size( ) = 2 s1 = 14143103, s2 = 11527102, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14143103, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14207687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14207687, s2 = 11584978, int(edited[s2]) = 0 s1 = 14207687, s2 = 11584978, d1 = 27, d2 = 47 Dl.O(d1) = 264520369 Dl.O(d2) = 230055388,228459599,226644042,266004501,226644043,266125551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14207687, s2 = 11584978, dlinesl.size( ) = 64 s1 = 14143113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143113, s2 = 14140713, int(edited[s2]) = 0 s1 = 14143113, s2 = 14140713, d1 = 21, d2 = 6 Dl.O(d1) = 227438503,225479482,274437719,229152531,229152534,229152535,265791562,265791561,225479479 Dl.O(d2) = 223227428,223227433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143113, s2 = 14140713, dlinesl.size( ) = 22 s1 = 10549320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10549376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10549402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10549402, s2 = 11008988, int(edited[s2]) = 0 s1 = 10549402, s2 = 11008988, d1 = 7, d2 = 9 Dl.O(d1) = 259906985 Dl.O(d2) = 6954916,4369895,4369894,6954915,10545744,10549869,9258025,6063475,3793737,2272413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10549402, s2 = 11008988, dlinesl.size( ) = 14 s1 = 10549596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10549596, s2 = 11593418, int(edited[s2]) = 0 s1 = 10549596, s2 = 11593418, d1 = 9, d2 = 9 Dl.O(d1) = 265290050,231992837,233210636,234312679,235316154,236230766,237064324,266468734,239733624,266699228 Dl.O(d2) = 265290050,231992837,233210636,234312679,235316154,236230766,237064324,266468734,239733624,266699228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10549596, s2 = 11593418, dlinesl.size( ) = 2 s1 = 10549596, s2 = 11593418, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10549596, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 14167155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10550175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10550376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131515, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10550450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10550914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10550897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10550897, s2 = 10550915, int(edited[s2]) = 0 s1 = 10550897, s2 = 10550915, d1 = 20, d2 = 16 Dl.O(d1) = 44442187,44442188 Dl.O(d2) = 260398419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10550897, s2 = 10550915, dlinesl.size( ) = 14 s1 = 13996929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10551669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10551851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128125, s2 = 10551854, int(edited[s2]) = 0 s1 = 14128125, s2 = 10551854, d1 = 5, d2 = 17 Dl.O(d1) = 200344910,206398152 Dl.O(d2) = 221732380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128125, s2 = 10551854, dlinesl.size( ) = 26 s1 = 10552163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10552163, s2 = 12246690, int(edited[s2]) = 0 s1 = 10552163, s2 = 12246690, d1 = 0, d2 = 3 Dl.O(d1) = 254307408,21820392,15754032,10910396,8791051,8777843 Dl.O(d2) = 6011572,6011570,9184944,13434151,18613833,18613831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10552163, s2 = 12246690, dlinesl.size( ) = 2 s1 = 10552163, s2 = 12246690, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10552163, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10552817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14949185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14949185, s2 = 11441012, int(edited[s2]) = 0 s1 = 14949185, s2 = 11441012, d1 = 0, d2 = 10 Dl.O(d1) = 111857860 Dl.O(d2) = 163595482,174436172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14949185, s2 = 11441012, dlinesl.size( ) = 12 s1 = 10552996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10553106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10553218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10553281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10553281, s2 = 10553287, int(edited[s2]) = 0 s1 = 10553281, s2 = 10553287, d1 = 16, d2 = 20 Dl.O(d1) = 257546771,262737259 Dl.O(d2) = 264296467,273594400,272643290,259529215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10553281, s2 = 10553287, dlinesl.size( ) = 32 s1 = 10553656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10554373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10554373, s2 = 11449448, int(edited[s2]) = 0 s1 = 10554373, s2 = 11449448, d1 = 18, d2 = 30 Dl.O(d1) = 98878763 Dl.O(d2) = 263074078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10554373, s2 = 11449448, dlinesl.size( ) = 2 s1 = 10554373, s2 = 11449448, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10554373, Dl.E( ) = 40, 3e-05 seconds used appending s1 = 10555196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10555400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10555476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10555525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10556173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10556173, s2 = 7467441, int(edited[s2]) = 0 s1 = 10556173, s2 = 7467441, d1 = 184, d2 = 177 Dl.O(d1) = 267033699,240387659 Dl.O(d2) = 266989433,241332492,266942253,266942251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10556173, s2 = 7467441, dlinesl.size( ) = 30 s1 = 14023325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14023325, s2 = 11151574, int(edited[s2]) = 0 s1 = 14023325, s2 = 11151574, d1 = 17, d2 = 4 Dl.O(d1) = 4247203,4247202,6775835,10303907,14971658,14998074,10383862,8126763,5206492,5206490,8126757,11218070,11995440,8047299,8047298 Dl.O(d2) = 23350512,23350511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14023325, s2 = 11151574, dlinesl.size( ) = 18 s1 = 10557526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10557799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10557799, s2 = 14025386, int(edited[s2]) = 0 s1 = 10557799, s2 = 14025386, d1 = 2, d2 = 4 Dl.O(d1) = 38468400 Dl.O(d2) = 41724543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10557799, s2 = 14025386, dlinesl.size( ) = 18 s1 = 10557845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10557845, s2 = 11036674, int(edited[s2]) = 0 s1 = 10557845, s2 = 11036674, d1 = 2, d2 = 18 Dl.O(d1) = 19798833,14181725,9749275,6410495,4021642,4021644,6409765,4768137,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971 Dl.O(d2) = 19796513,20280735,254984923,6581118,6581119,10012933,14551777,20280742,21901329,255340865,10013172,10013173,14552187,20281270,27209421,33661680,33661681,42692348,38370559,29797918,268396866,25840436,33643694,42672883,43856211,53123774,268223934,26607887,24152920,17785671,12588198,8540447,5538572,5538571,8540443,12588183,17785647,24152897,24122306,24122304,24122320,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,22273485,16131463,16131458,22273464,29624785,22273533,22273537,17141842,17141839,16920304,16920300,23186321,29358717,26598796,26598795,29378201,22047704,15944634,11064526,11064524,15944620,22047669,24122408,24122407,31627714,24122459,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597118,22050255,22050253,29380557,28056790,20887004,14983823,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,12856037,12856036,17023047,23282213,24571619,18130304,18130303,18130324,24571644,22822411,22822410,29394674,37959183,32155550,24571354,18130099,18130098,24571352,254349284,22064276,15959697,11076599,11076600,254349280,29394646,36382762,255447540,11577944,7706532,4877365,4877362,7706522,7338387,7338389,11067367,268220225,29381593,29212930,21898821,15819992,10963515,10963516,15819995,21898827,29212937,28938276,21659562,21659561,19794335,16920422,16920421,22824532,21659840,267789554,7143044,7143045,10810098,15623776,16601915,11578842,7707099,4877704,4877705,7707104,7707130,10579502,7707156,7707154,9392516,6153226,3850075,2306759,2306765,2749785,3850024,6153123,9392361,254766574,25858074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10557845, s2 = 11036674, dlinesl.size( ) = 8 s1 = 14252845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109429, s2 = 12666886, int(edited[s2]) = 0 s1 = 14109429, s2 = 12666886, d1 = 15, d2 = 13 Dl.O(d1) = 147342655,262489335,273452557 Dl.O(d2) = 263733101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109429, s2 = 12666886, dlinesl.size( ) = 16 s1 = 10559616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10559616, s2 = 14167197, int(edited[s2]) = 0 s1 = 10559616, s2 = 14167197, d1 = 27, d2 = 41 Dl.O(d1) = 258182584 Dl.O(d2) = 111697833,111697834,125503569,125503565,125503564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10559616, s2 = 14167197, dlinesl.size( ) = 38 s1 = 14054045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14054045, s2 = 6452779, int(edited[s2]) = 0 s1 = 14054045, s2 = 6452779, d1 = 25, d2 = 14 Dl.O(d1) = 32671612,24995309,24995308 Dl.O(d2) = 254636673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14054045, s2 = 6452779, dlinesl.size( ) = 12 s1 = 10560241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10560241, s2 = 11569622, int(edited[s2]) = 0 s1 = 10560241, s2 = 11569622, d1 = 28, d2 = 45 Dl.O(d1) = 165118876 Dl.O(d2) = 226480298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10560241, s2 = 11569622, dlinesl.size( ) = 12 s1 = 14150743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150743, s2 = 5470918, int(edited[s2]) = 0 s1 = 14150743, s2 = 5470918, d1 = 32, d2 = 15 Dl.O(d1) = 266605614,266736743,266527538,235856506 Dl.O(d2) = 225555916,265312036,230723721,232068076,233279082,234375070,266183128,237109641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150743, s2 = 5470918, dlinesl.size( ) = 2 s1 = 14150743, s2 = 5470918, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14150743, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 10561003, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10561719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10561750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10562425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10562441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15007029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10563933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10564673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10564673, s2 = 10341566, int(edited[s2]) = 0 s1 = 10564673, s2 = 10341566, d1 = 42, d2 = 49 Dl.O(d1) = 255196930 Dl.O(d2) = 29174150,21864050,15806243,10952748,7248854,4570761,4570763,7248863,7247965,4580266,4580265,7262687,10972386,15791175,15791177,21864212,26980328,20091685,20091683,26980321 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10564783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10564907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10564907, s2 = 11602966, int(edited[s2]) = 0 s1 = 10564907, s2 = 11602966, d1 = 15, d2 = 16 Dl.O(d1) = 244198581,244361394,244361393,244568686,244361390 Dl.O(d2) = 244568689,244361401,244137537,243896641,243638214,243360469,243064327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10564907, s2 = 11602966, dlinesl.size( ) = 20 s1 = 10564959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10565126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131391, s2 = 10565436, int(edited[s2]) = 0 s1 = 14131391, s2 = 10565436, d1 = 34, d2 = 4 Dl.O(d1) = 263628763,262344095,143189763,143189764,143189768,143189760,260721623,115963783,129861068,261836591 Dl.O(d2) = 129861072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131391, s2 = 10565436, dlinesl.size( ) = 2 s1 = 14131391, s2 = 10565436, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14131391, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 10565442, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10565640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14035365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14035365, s2 = 14199440, int(edited[s2]) = 0 s1 = 14035365, s2 = 14199440, d1 = 35, d2 = 28 Dl.O(d1) = 15093935,15093936,21015623,28208526,33375565,33375566,33375568,25610689,25610690,33375570,36699428,36699427,46586105,44748002,35321981,27198327,20271781,20271782,27198328,35321982,256314470,44748009,35321985,35321986,256314472,68052858,81539691,95570226,109770541 Dl.O(d2) = 163569771,151690429,138986715,125648618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14035365, s2 = 14199440, dlinesl.size( ) = 24 s1 = 14199439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14199439, s2 = 14035366, int(edited[s2]) = 0 s1 = 14199439, s2 = 14035366, d1 = 211, d2 = 203 Dl.O(d1) = 111833570,125648614 Dl.O(d2) = 58276086,46911006,256314473,21313115,21313114,28535934,256314471,21313111,15342824,10597666,10597665,15342823,21313110,28535927,37033968,38951374,34989442,34989443,44367521,55218642,55218664,44367554,38951366,30365075,22963160,16726640,16726639 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10565824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10565824, s2 = 11528430, int(edited[s2]) = 0 s1 = 10565824, s2 = 11528430, d1 = 0, d2 = 12 Dl.O(d1) = 195771337 Dl.O(d2) = 216875545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10565824, s2 = 11528430, dlinesl.size( ) = 52 s1 = 10566058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10566058, s2 = 11253212, int(edited[s2]) = 0 s1 = 10566058, s2 = 11253212, d1 = 8, d2 = 0 Dl.O(d1) = 86804237,269808374,49041782,257586937,73192126 Dl.O(d2) = 31328032,23836735,17497152,12337071,8334418,8334417,12337069,255563937,23770643,17442337,12295376,8304346,5358159,3293711,1937144,1106498,620884,620885,1106502,1937155,3293735,5358212,8304488,12295617,17442775,23771271,31239521,23755850,17446703,12298251,8306038,254400517,3294194,5359054,8306042,12298260,17446050,12297731,8305709,8305712,12297708,12295519,8304442,8304438,12295536,17442632,23771077,28492900,30570002,36955251,31254637,267844408,15256886,254476284,6942008,268379841,70912135,259286737,112358474,126217864,139591858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10566058, s2 = 11253212, dlinesl.size( ) = 2 s1 = 10566058, s2 = 11253212, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10566058, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10566066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10566192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10566264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10567308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10567308, s2 = 11615832, int(edited[s2]) = 0 s1 = 10567308, s2 = 11615832, d1 = 9, d2 = 21 Dl.O(d1) = 241466494 Dl.O(d2) = 266958093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10567308, s2 = 11615832, dlinesl.size( ) = 36 s1 = 10567368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10567368, s2 = 2755725, int(edited[s2]) = 0 s1 = 10567368, s2 = 2755725, d1 = 33, d2 = 28 Dl.O(d1) = 222419312,264730080 Dl.O(d2) = 162152473,149940955,136804818,122973862,122973860,122973861,261470176,122973864,122973863,136804819,149940957,162152476,171328542,181357072,171328548,160102173,160102172,149940953,149940952,162152467,171328551,171328550,162152472,149940955,136804818,122973862,108708365,108708364,122973861,136804816,149940950,136804820,122973864,271075936,80367706 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10567573, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13997781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11673668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10568366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10568366, s2 = 11336802, int(edited[s2]) = 0 s1 = 10568366, s2 = 11336802, d1 = 26, d2 = 43 Dl.O(d1) = 57629685,57629686,70320467,83846267,83853533,97705747 Dl.O(d2) = 100948770,86964766,86964767,100948773,258830574,121369184,121369183,135218587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10568366, s2 = 11336802, dlinesl.size( ) = 26 s1 = 14050609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050609, s2 = 11566568, int(edited[s2]) = 0 s1 = 14050609, s2 = 11566568, d1 = 33, d2 = 13 Dl.O(d1) = 29495124,29424423,26933346,26933345,28386754,21824359,15757147,15757148,21824361,255047230,35019843,26938898,26938897,29496624,29496625,38059692,47971988,59362545 Dl.O(d2) = 224655676,265737567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050609, s2 = 11566568, dlinesl.size( ) = 14 s1 = 13997845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13997879, s2 = 8830021, int(edited[s2]) = 0 s1 = 13997879, s2 = 8830021, d1 = 89, d2 = 86 Dl.O(d1) = 22373344,16218071,16218072,22373345,29730321,38297488,48206881,59593444,72328156,69163185,56609282,45488044,35863185,35844526,27575789,20545908,20545906,14889734,10238212,10238208,14889744,20397057,20397053,27351267,20593457,20441557,14671859,14671857,10093631,10093567,10093480,6628644,6628641,10093534,14675611,20451658,20734381,27864165,36275520,46066693,56144143,68623243,69332919,82854883,69413110,56830453,56830454,55883588,44937388,35481820,27334435,20384672,14629783,10064344,6611712,6611709,4182513,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520025,4214870,6722985,10232271,10172495,10172491,14789941,20518655,27536019,35430797,35430794,27640783,27640786,27668012,27697292,26244096,26244093,27539415,27691524,27870193,27642048,20605948,20566181,20566177,16540586,11527931,7668649,7668651,11527874,14645862,10074597,6665020,6665016,6618288,4172826,4172823,6611703,6611702,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443012,2501008,1443140,1443135,2492977,1439409,1439403,2492943,4170361,6634183,10102590,14688913,20469955,27456740,35656615,45181621,56200207,56462581,62914611,75887965,89477887,82389707,69589445,56983056,45779107,45779109,56983062,56429060,45355812,45355811,56429051,56230176,45207093,35676984,27471925,27471922,35676971,36069199,36069201,45778583,45778585,45624154,35960140,27651142,27651141,35960135,257346563,45192855,51036975,45969635,45969636,57225774,55848413,55848409,45455650,45455648,47726243,37804639,37804636,45764274,45764276,36058074,35488768,27339693,20388934,14633182,10066503,6612972,6612968,10066525,14633222,20389018,27339844,27658682,20599192,14774096,14774093,14876840,10229856,6721641,6721638,10229781,6723886,6723882,10233787,10234035,6724065,6724063,10234032 Dl.O(d2) = 223443953,220874925,217860893,214254464,209862269,204504439,198078672,263320178,135208999,121358346,107061529,92722228,78659739,65356283,53353854,42889143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13997879, s2 = 8830021, dlinesl.size( ) = 28 s1 = 10570640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10571075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10571102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10571102, s2 = 12038559, int(edited[s2]) = 0 s1 = 10571102, s2 = 12038559, d1 = 1, d2 = 1 Dl.O(d1) = 67582984,81050736,95108072,109362192,123553621,137285723,150327367,162462588,173502480,183304762,191874666,191854997,183280277,173473340,162430800,150295270,137255240,123524908,109333388,95078667,81019640,67549972,55206154,44355514,34977804,34977805,34977807,34977806,30897951,30897952,30897945,30897944,26898435,20016465,20016464,26898434,34977810,254982104,67549975,81019647,95078674,109333398,123524920,137255250,150295275,162430803,173473346,183280283,191855002,261563572 Dl.O(d2) = 67582984,81050736,95108072,109362192,123553621,137285723,150327367,162462588,173502480,183304762,191874666,191854997,183280277,173473340,162430800,150295270,137255240,123524908,109333388,95078667,81019640,67549972,55206154,44355514,34977804,34977805,34977807,34977806,30897951,30897952,30897945,30897944,26898435,20016465,20016464,26898434,34977810,254982104,67549975,81019647,95078674,109333398,123524920,137255250,150295275,162430803,173473346,183280283,191855002,261563572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10571102, s2 = 12038559, dlinesl.size( ) = 2 s1 = 10571102, s2 = 12038559, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10571102, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14895509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14895509, s2 = 10977994, int(edited[s2]) = 0 s1 = 14895509, s2 = 10977994, d1 = 16, d2 = 18 Dl.O(d1) = 254466340 Dl.O(d2) = 254083692,452798,452797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14895509, s2 = 10977994, dlinesl.size( ) = 26 s1 = 10571623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10572343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10572343, s2 = 11509282, int(edited[s2]) = 0 s1 = 10572343, s2 = 11509282, d1 = 10, d2 = 1 Dl.O(d1) = 266175001 Dl.O(d2) = 223255055,220653736,217595698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10572343, s2 = 11509282, dlinesl.size( ) = 16 s1 = 10572913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10573405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10573400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10574061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574061, s2 = 11078758, int(edited[s2]) = 0 s1 = 10574061, s2 = 11078758, d1 = 34, d2 = 37 Dl.O(d1) = 6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,6994782,10601777,15347614,255695897,28587459,268034156,10627752,7014798,254499212 Dl.O(d2) = 133102088,257181224,22726224,22726226,21624406,21624407,28899546,35345303,27223441,24267438,17888623,17888622,19571818,14020492,9637760,9637761,14020411,14020412,15594831,14193483,9757241,6415657,6415658,9757248,13303183,9184415,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,11510947,11510945,16517110,12384866,8368923,5401206,3320871,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426285,9773663,14216718,19844086,255368792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574061, s2 = 11078758, dlinesl.size( ) = 16 s1 = 10574276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574276, s2 = 344740, int(edited[s2]) = 0 s1 = 10574276, s2 = 344740, d1 = 70, d2 = 67 Dl.O(d1) = 259555960,78480883,65196540,53210830,42761072 Dl.O(d2) = 59808633,64570889,52670888,48102995,38191632,29624957,22273593,22273592,29624956,34598215,26611136,268042652,9751298,9751300,14184941,9778571,9778570,7346123,7346124,11078710,12748821,8664436,8664437,8664435,8664434,12748820,255602753,31919825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574276, s2 = 344740, dlinesl.size( ) = 12 s1 = 10574296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574296, s2 = 12038638, int(edited[s2]) = 0 s1 = 10574296, s2 = 12038638, d1 = 1, d2 = 1 Dl.O(d1) = 245651308,245776739,245894559,246005501,246108950,246207668,267540691,246469693,246548330,246622936,246554203,246475860,267533304,275029288,246013668,267521341,275039300,267511702,246013670,245903936,245787509,245662882,267427802,245234381,245072499,244899793,244716317,244520221,244310225,244084488,243841817,243580454,243298786,242997252,242675524,267062618,241554759,266927558,240144121,239597463,239006243,238363698,237658410,266461850,235087914,234054634,232920413,265915614 Dl.O(d2) = 245651308,245776739,245894559,246005501,246108950,246207668,267540691,246469693,246548330,246622936,246554203,246475860,267533304,275029288,246013668,267521341,275039300,267511702,246013670,245903936,245787509,245662882,267427802,245234381,245072499,244899793,244716317,244520221,244310225,244084488,243841817,243580454,243298786,242997252,242675524,267062618,241554759,266927558,240144121,239597463,239006243,238363698,237658410,266461850,235087914,234054634,232920413,265915614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574296, s2 = 12038638, dlinesl.size( ) = 2 s1 = 10574296, s2 = 12038638, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10574296, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10574489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10574792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574792, s2 = 11526742, int(edited[s2]) = 0 s1 = 10574792, s2 = 11526742, d1 = 2, d2 = 9 Dl.O(d1) = 229529249 Dl.O(d2) = 265621054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574792, s2 = 11526742, dlinesl.size( ) = 14 s1 = 10574846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10575082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10575188, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10575188, s2 = 14154430, int(edited[s2]) = 0 s1 = 10575188, s2 = 14154430, d1 = 15, d2 = 1 Dl.O(d1) = 246844043 Dl.O(d2) = 244157557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10575188, s2 = 14154430, dlinesl.size( ) = 24 s1 = 10575250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10576448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10576448, s2 = 10576451, int(edited[s2]) = 0 s1 = 10576448, s2 = 10576451, d1 = 8, d2 = 11 Dl.O(d1) = 274959223,244214894,244431068,244632091,244819522,244996056,245162298,245318053,267449675,245730563,245850548,245963347,246069326,246169176,246169180,246069328,245963349,245850547,245850545,267504243,246169170 Dl.O(d2) = 245850552,267464542,245318053,245464442,245602189,267478681,245963353,246069334,246169180,246069328,246069327,246169178,246169177,246169176,246169180,246169179,275040439,246438913,246354354,246354350,246264705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10576448, s2 = 10576451, dlinesl.size( ) = 12 s1 = 11674154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10577245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10577497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10577497, s2 = 11107526, int(edited[s2]) = 0 s1 = 10577497, s2 = 11107526, d1 = 13, d2 = 16 Dl.O(d1) = 119706003,105466452,91243738,77323556,64175114,52323375,41982694,33039002,25311461,18734706,18734705,25311458,30661382,30661383,35343383,31752793,24240973,17865222,12651365,12651368,17865227,19814782,14193495,14193497,19814787,15587638,14193598,14193596,18522524,14975914,10308445,10308443,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,14924237,14924236,20822106,21618305,25303183,19900498,14255966,9798655,6441111,6441110,9798649,254698267,4135382,2473746,2473747,4135384,6600732,6601615,254987925,20341910 Dl.O(d2) = 256814341,57741569,70436036,83962263,97821213,111743271,125549218,128473583,114587714,257394084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10577497, s2 = 11107526, dlinesl.size( ) = 14 s1 = 10577677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10577818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10577883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10578328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10578328, s2 = 14072240, int(edited[s2]) = 0 s1 = 10578328, s2 = 14072240, d1 = 60, d2 = 94 Dl.O(d1) = 268096856,38815554,30232323,30232324,28638183,21397874,15411917,10653094,7034380,7034381 Dl.O(d2) = 170803352,180930564,189815960,180930559,180930558,189815958,261976716,261976715,133846761,119980307,105745596,91521943,77591021,259034293,52548329,42189537,33229218,25480585,18878474,18878473,256130345,28587681,21356821,15379558,10627912,7014937,7014939,10627915,10627918,267931645,1310549,254113269,240124,240123,254147289,2257932,3768455,6023634,9200251,13453198,18878465,25480577,33229205,42189513,52548307,269134304,52548302,52548303,62684052,51053286,51053285,43889964,43889963,54632913,66890430,258164995,48606428,38690971,30115058,22734253,22734254,21776154,18504230,16528371,11519454,11519451,13146702,11519280,7662711,4848176,4848177,3541120,3541118,4848265,2921466,2921460,2921459,4848248,7662819,11519419,11519395,7662794,4848233,2921454,2921455,4848240,7662807,11519404,16528318,22734247,25480582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10578328, s2 = 14072240, dlinesl.size( ) = 2 s1 = 10578328, s2 = 14072240, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10578328, Dl.E( ) = 108, 4.51e-05 seconds used appending s1 = 14155775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155775, s2 = 11637666, int(edited[s2]) = 0 s1 = 14155775, s2 = 11637666, d1 = 34, d2 = 38 Dl.O(d1) = 267470917,245900938,246011037,267521117,246304468 Dl.O(d2) = 267550615,246304474,246211924,267531441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155775, s2 = 11637666, dlinesl.size( ) = 18 s1 = 14112177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112177, s2 = 14138824, int(edited[s2]) = 0 s1 = 14112177, s2 = 14138824, d1 = 0, d2 = 10 Dl.O(d1) = 155017974,166717706,177273866 Dl.O(d2) = 264542418,201679418,194722963,264261681,264795127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14112177, s2 = 14138824, dlinesl.size( ) = 12 s1 = 14138823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138823, s2 = 14112178, int(edited[s2]) = 0 s1 = 14138823, s2 = 14112178, d1 = 6, d2 = 6 Dl.O(d1) = 264795126,264261680,194722968,201679419,264542419,201679420,263598558,186598858,186598862,177273863,177273864,186598859,177273862,166717704,155017973 Dl.O(d2) = 264795126,264261680,194722968,201679419,264542419,201679420,263598558,186598858,186598862,177273863,177273864,186598859,177273862,166717704,155017973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138823, s2 = 14112178, dlinesl.size( ) = 2 s1 = 14138823, s2 = 14112178, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14138823, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 14098445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14098445, s2 = 12248194, int(edited[s2]) = 0 s1 = 14098445, s2 = 12248194, d1 = 9, d2 = 4 Dl.O(d1) = 104245557,90112158,76297616,256724928,41334473,32486543,32486542,30243825,30243824,38827211,48747170,50517362 Dl.O(d2) = 33079113,33079114,36489577,256635275,25348578,25348575,33079355,37125145,34001747,26160009,26160008,24002274,17657548,12486560,12486559,17657544,24002263,30243792,25349153,25349155,33080154,33078698,31046257,23562524,23562522,30759186,30759188,31500884,31500886,40186064,49283308,55243526,255164928,26939037,20053026,20053027,22519106,16345674,11373547,7555950,7555948,11373535,16345655,22519082,29876125,38435136,48338876,59723426,51958975,41651672,32741930,32741929,39724853,48485145,48485144,59876648,61690163,52511406,42153476,42153477,34305260,34305261,43406585,53933417,46407320,36545776,28077657,25071678,25071679,32768537,41310543,41310544,268251798,39389035,39389036,43963270,43963269,36489571,28027037,20859733,14958208,10291288,6765377,4239909,4239908,5381819,3309443,1946918,1112323,624169,624164,1112331,1467388,1458743,830249,830247,1467455,2547306,2925177,1696854,1696855,254363167,7671673,11531882,10278723,254480915,4233114,6755339,4253519,2546418,2546419,267878441,10324593,14979402,10311679,10311678,10285701,6760999,4236915,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419019,466635,826538,1460149,1473112,1466837,833043,833044,834303,834306,833511,833513,470308,470309,468904,263684,146020,80286,43980,43978,80279,146011,263412,263411,468340,830125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14098445, s2 = 12248194, dlinesl.size( ) = 2 s1 = 14098445, s2 = 12248194, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14098445, Dl.E( ) = 10, 3.81e-06 seconds used appending s1 = 10579384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10580010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10580058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10580058, s2 = 11449446, int(edited[s2]) = 0 s1 = 10580058, s2 = 11449446, d1 = 45, d2 = 47 Dl.O(d1) = 70985507,84548591,259911721,126327283,139702259,126327293,112460870,112460871,126327285 Dl.O(d2) = 126327284,272177751,261643899,164302138,263090583 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10580471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10580471, s2 = 12704421, int(edited[s2]) = 0 s1 = 10580471, s2 = 12704421, d1 = 1, d2 = 4 Dl.O(d1) = 47475765,48503104,40367919,31673323,29533588,22190566,21281997,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741902,40436081,50469334,40431486,40431487,47473912,47473911,40435958,31741788,24232136,17858679,12646938,12646937,17858677,24232134,257099355,29027627,37574440,47480198,47484678,37579179,37579178,47484662,37587149,29039576,21747214,21747216,29039581,29780870,28170960,28170961,36646539,37556922,29010719,29010720,29039363,21747223,21747224,24232402,22906572,22906574,30305732,29001053,21715743,21715740,21726571,21726572,29014212,21921540,15836485,10974293,10974291,15836478,21921517,29240459,29899352,29051406,21757196,21724810,15679358,15679357,21724806,21721473,21721470,29007560,24233299,24233301,28272265,28272267,36767241,37558952,37558932 Dl.O(d2) = 37580194,29032933,29032934,37580197,38891820,38891821,37579671,29032403,21741082,15690743,10862241,7181660,7181658,10862232,7184367,4526081,4526080,7184363,10866323,10859184,7179317,4522564,2718337,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861491,7636382,7636379,7636236,4830967,4830970,7636252,8585752,12644954,17855438,21724930,15679437,10854878,7176531,7176536,10854899,15679474,21724998,29009423,24239475,21731214,15683929,10857739,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,21748456,29041071,37588793,37588794,47493401,256892579,37559250,29025737,21735830,21735831,24234860,24234859,31745173,257099553,38353478,29780849,29780850,37566489,29019904,21731106,15683641,10857572,10857570,255423359,29019882,37268231,37268229,37564703,29018053,29018052,30306335,30306336,29042594,21749925,21749926,29042552,29042551,37589996,37567724,29021153,21732190,15684399,15684398,21732188,17656213,12485606,12485605,17656209,24000451,29024985,21735108,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850326,10850324,15673296,21717017,21746903,21746902,29039139,30305869,22906680,22906683,22906706,16674967,11639304,7754299,7754300,11639307,16674972,22906718,21732846,15684838,10858227,7178615,7178614,7178583,7178585,10858181,15684767,21732736,21732528,21732527,29021594,24233526,17859699,17859697,24233519,31743505,30307207,30307208,31739041,31739042,31750122,24238798,21733436,15685261,15685262,15689150,15689152,21731314,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,7181625,254745707,7176392,10854649,15679045,255857125,15695527,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,16478841,11481454,7636331,4831011,2911032,1688757,1688753,2911049,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723860,21750767,29011620,21724524,21724525,17338900,17338899,23655784,29021749,29010451,29005398,21723721,21723723,21724237,29011177,21741281,15690870,10862335,10862336,15690877,21741297,29032639,29022482,21733235,21733233,15693004,15693002,21729045,21720359,21720362,29006311,22675850,22675849,24231826,17858488,17858491,24231833,24228972,24228975,29005803,31743633,29012699,29012698,37558936,31746707,31746708,40435951,37586183,29038662,21746421,15694726,15692672,15692676,21743548,21724721,15679284,15679283,15678733,15678732,21719462,21719463,29005325,29005908,22908083,22908084,29005938,29022630,29022632,21743597,15692708,10863630,10863631,15684208,15684211,21731904,15691417,15691416,21731892,21731893,29009433,29009434,37555601,29018530,29018532,29021459,29021460,24230825,17857758,17857759,21726721,21726720,16368313,11391115,11391113,12648440,17856254,17856255,24228634,256550753,29011981,29011980,37548532,47456451,37553619,37553617,37556833,29031632,29011581,21749330,21749334,21723632,15678641,10854385,7176244,7176243,10854383,15678632,21723611,29010339,21750016,21750015,29042681,256894533,30051546,22675629,255857927,21733377,29022621,22906733,22906732,30305914,38891948,48813883,60210269,71584297,58870264,58844318,47458786,47458785,37557589,29011214,21724258,255051291,7176384,7176385,10854643,15679033,21719787,15675707,15675710,21115659,15693487,15692976,15692973,21743950,29012484,21725237,21725236,19299742,19299739,23828550,21757463,21757464,21729959,21729955,22675715,17856860,12645744,12645745,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695545,15697209,15696321,10865873,7184110,7184108,10865829,10865844,10859206,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,7181078,7181076,10861474,10862644,7181945,4524455,4524459,4520763,4520762,7176623,10854968,7176566,4520721,2717231,2717235,4520733,2717653,2717650,4521370,7177435,4523953,4523954,4524349,4524352,7175021,7175018,7184564,4526175,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505185,895558,1574905,2717895,4521776,7178006,4526240,2720795,2720794,4526236,7184626,7181916,4524428,2719600,2719599,4522210,2718094,2718095,4522217,4521140,4521139,7172344,4526511,2721001,1576730,896417,896416,1576727,2720275,2716502,1574060,894989,504886,504885,894983,1574047,2716474,4519527,4519975,2716769,1574192,1574191,1575045,1575044,2718236,2717607,1574721,1574720,2717604,4521274,4523185,7180229,10860483,11966992,268201800,29546318,28920292,21644929,21644928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10580471, s2 = 12704421, dlinesl.size( ) = 2 s1 = 10580471, s2 = 12704421, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10580471, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 10580497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10581203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10581222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10581317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10581373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10581373, s2 = 11438370, int(edited[s2]) = 0 s1 = 10581373, s2 = 11438370, d1 = 6, d2 = 6 Dl.O(d1) = 194822785,194822786,194822822,186709273,177393404,166845780,155152665,260034604,177393372,177393369,177393368,186709219,194822780,194822807,186709253,177393396,177393394,186709251,194822802,186709259,177393398,177393397,186709255,194822808,201766472,207611889,212432075,263924644,212432063,207611873,201766450,194822772,194822774,194822784,186709226,186709228,177393390,166845774,270858634,129131435,115199977,115199976,129131430,142508513,155152658,260634698,177393369,177393368,186709219,194822780,194822807,186709253,177393396,177393394,186709251,194822802,186709259,177393398,177393397,186709255,194822808,201766472,207611889,263181164,207611885,201766469,201766466,201766465,207611881,207611880,201766464,201766459,194822783,186709223,262746762 Dl.O(d2) = 194822785,194822786,194822822,186709273,177393404,166845780,155152665,260034604,177393372,177393369,177393368,186709219,194822780,194822807,186709253,177393396,177393394,186709251,194822802,186709259,177393398,177393397,186709255,194822808,201766472,207611889,212432075,263924644,212432063,207611873,201766450,194822772,194822774,194822784,186709226,186709228,177393390,166845774,270858634,129131435,115199977,115199976,129131430,142508513,155152658,260634698,177393369,177393368,186709219,194822780,194822807,186709253,177393396,177393394,186709251,194822802,186709259,177393398,177393397,186709255,194822808,201766472,207611889,263181164,207611885,201766469,201766466,201766465,207611881,207611880,201766464,201766459,194822783,186709223,262746762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10581373, s2 = 11438370, dlinesl.size( ) = 2 s1 = 10581373, s2 = 11438370, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10581373, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 14100555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100555, s2 = 11101526, int(edited[s2]) = 0 s1 = 14100555, s2 = 11101526, d1 = 9, d2 = 2 Dl.O(d1) = 125726652,111909322,259266002,84098271,70561981,57860323,57860322,70561979,84098270,97972007,111909321,125726651,125726653,111909323,111909324,125726656,138890895,125557873,125557872,138890894,125726643,271757100,139065189,125726649,111909319,111909318,125726647,139065187,151766813,139065195,125726660,111909326,97972010,84098272 Dl.O(d2) = 1479751,1479755,2538834,2538833,1466654,829828,468196,468195,829823,1466643,2545764,4258316,6748459,6765120,6765121,5373775,5373773,6367428,9681057,6367462,3995432,3995433,6367471,4279363,4279364,4242299,3467195,2055911,2055913,3467202,4281109,5956153,8421281,5435333,4253042,4253040,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,1462621,827808,827810,1462631,2538365,2560372,1474541,1474539,2560366,2759582,2759583,2055352,1179128,1179129,2055356,3466082,4282476,2560403,2560401,4282048,2560152,1474455,833795,833796,1474461,2560169,3723899,2229652,1293040,1293039,2229646,3723889,4854927,2925682,1697141,1697142,2925688,4854939,7672756,11533254,12659931,8595692,5949834,5949833,9094555,10301386,10301388,12089712,8130167,5926557,3705798,3705799,5926560,9063791,9087110,9087113,13305546,17183195,17183194,17201223,17201222,18698051,20873334,14971226,255361939,28041276,36504642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100555, s2 = 11101526, dlinesl.size( ) = 2 s1 = 14100555, s2 = 11101526, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14100555, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 13998369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13998369, s2 = 446101, int(edited[s2]) = 0 s1 = 13998369, s2 = 446101, d1 = 74, d2 = 2 Dl.O(d1) = 14772818,20597322,27655898,256787327,257966573,82894749,96097863,82793651,82793650,69668589,69668591,83197720,83238712,258499256,83240981,97168036,111181780,110185463,101716824,87742594,82684846,82684848,96659624,110743243,107773022,93348668,79218842,69539738,257900322,45385972,35794651,27543853,255320514,10167657,10058047,6664130,6664127,6611579,4182682,2501001,2500988,1443016,1443011,2500988,1443016,1443011,2500892,1442988,1442983,2500917,1444850,1444845,2504793,1448200,1448195,2511620,4199498,6701532,10198243,14828295,20679849,27778367,36147616,36289266,46085204,40701719,31961921,24413190,18004246,12759776,8671924,8671926,12759743,17995182,17995184,24396979,17994856,17994860,24396941,31933646,40655293,50722402,256899234,88738156,97021887,272111531 Dl.O(d2) = 11306440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13998369, s2 = 446101, dlinesl.size( ) = 10 s1 = 10582089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10582089, s2 = 11674461, int(edited[s2]) = 0 s1 = 10582089, s2 = 11674461, d1 = 9, d2 = 2 Dl.O(d1) = 20994461,20994462,28175815,30881782,30881781,37863249,37863248,37211951,37211952,46518462,36651502,28175836,20994473,20994472,28175833,36651497,255746616,42474691,47108772,37863094,256288033,28175025,36650735,46517860,57873418,70574354,67672525,55333127,46403489,46403490,37863211,37863212,46518272,36651253,36651252,36651569,29293937,21966918,15872901,15872900,21966916,28175918,27023869,27023870,33096149,33096150,36836270,28339418,254327988,15178571,20994534,20993880,20993878,28175228,36650912,46517965,47053029,37863205,29293887,21966881,21966882,29293889,37162252,47053014,47108757,37211930,28687527,21437358,21437357,28687523,37211962,46518521,46385549,37863232,29293922,29293923,37863097,29293811,21966840,21966839,256371997,21966862,21966861,29293848,37863157,47787677,59187819,71927406,85515067,99460963,113471078,127340365,140696155,140696151 Dl.O(d2) = 260597100,113471076,260597100,99460962,99460963,113471078,127340365,140696154,153377593,146790739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10582089, s2 = 11674461, dlinesl.size( ) = 2 s1 = 10582089, s2 = 11674461, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10582089, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 10582242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10582903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10582903, s2 = 10582910, int(edited[s2]) = 0 s1 = 10582903, s2 = 10582910, d1 = 0, d2 = 3 Dl.O(d1) = 16712438 Dl.O(d2) = 22949274,257576525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10582903, s2 = 10582910, dlinesl.size( ) = 6 s1 = 10583172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14118463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057613, s2 = 11113438, int(edited[s2]) = 0 s1 = 14057613, s2 = 11113438, d1 = 11, d2 = 11 Dl.O(d1) = 47265057,37355287,255518176,34656666,28816101,28816102,34656670,26665114,26665115,34656672,43929511,54671669,58656937,269366788,58656902,47265093,47265092,58656935,71392096,256913362,71879438,72093545,85680293,85525154,85525153,85680296,72093548,59727385,48343045,48343044,59727383,72462963,73279467,71049966,58334100,46966304,37085071,37085070,255138064,59059749,47659459,37737600,37737599,47659457,59059743,60683372,58651600,47259807,37350351,28811844,21544043,21544046,28811850,37350359,47259815,46849689,36970869,28472593,28472594,29327552,29327551,28756386,21864049,21864048,21881630,21127101,21127102,21866288,15792819,10941798,7240215,4564596,4564595,7240214,10941792,15792809,15806143,21882020,29193488,21881576,21866976,15793302,10942089,254231310,21866974,26980349,21880335,21880334,29192151,29834631,29177146,21866649,21866648,29177141,21880049,21880051,21886355,15809974,15809973,21881612,21881611,29176469,29176467,37737386,36764358,28269261,28269259,36764356,41745220,42123703,47660102,37738445,37738407,37738406,39046397,39709546,37737771,37737770,47659602,39534091,30922981,23485276,23485277,30922983,39534092,49468356,41745432,41745433,52059719,58020257,47682307,37760144,37760143,47682305,267827712,36591896,36591898,46458067,46514748,46514747,57870821,70572348,70572369,70572370,84109017,71805580,59064817,47664723,37742778,37742777,257483367,49282639,39355588,39355589,49282642,60683703,73431615,80348799,66922587,66922588,73622602,60871802,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282755,60683873,60683636,60683635,73431521,85639037,73431567,73431569,61399797,49919721,49919720,61399795,70421125,70421126,270790269,87048260,73430933,61399777,61399770,61399771,269870524,54666029,43923486,34650283,34650282,43923483,54666025,66922554,80348753,84103752,84103750,258831794,101043708,101043707,100969169,100969170,99346257,85402381,85402380,87048853,73431456,60683588,49282570,39355553,39355552,49282579,60683597,64144226,64144229,73431626,87049027,99589096,101044271,115118040,126879132,113026087,99037388,85112120,71540580,58811553,58811552,71540576,85112116,73431667,60683739,60683738,73431661,74180079,74180080,73431901,60683938,60683939,73431936,66922609,54666057,54666056,66922606,73622578,73622577,87244234,270875278,260562716,97807146,97807144,111729128,115118223,101044641,101044642,102066856,102066855,108690290,256904802,85388675,99332409,87049057,257484150,60683396,49282447,39355478,255978561,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072649,60683219,49282340,39355418,39355417,257605565,73430917,87048231,87048300,87048620,87049559,87049560,87048950,87048951,101044321,115117741,101758252,87784789,74180033,61399822,61399821,74180046,87048212,87048214,87048440,101043916,113348670,99346240,99346241,99346255,85402378,85402377,99346252,87049473,87049472,87049215,73431754,60683791,257484152,87049206,101044267,87048876,87048875,83947926,83947927,87048992,73431591,73431590,87048990,271324496,92416962,92416963,87048891,73431497,60683616,49282591,49282589,59059753,59059752,71800393,85388701,73431154,60683368,60683369,59316566,47923546,47923547,59316567,72051395,85638988,99589081,101072025,101044583,87049272,87049273,101044586,101043868,101043869,258718148,60683897,258213207,87049331,258717272,87049285,73431825,73431824,87048563,270829986,87048839,73431450,73431451,87048842,258717270,112147055,98184662,257483350,99346604,85402879,85402878,98184659,98184658,87049370,87049369,101044651,101043982,87048506,77293271,258835937,73431917,87049373,101044653,101044427,87049074,74180079,74180080,73431901,60683938,60683939,73431936,66922609,54666057,54666058,66922595,60871802,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072646,71814067,73430922,87048242,101043753,101043752,115117732,101044000,101043999,101758189,115118071,108690323,108690290,94403086,80348737,66922543,66922544,73431572,87048968,87049290,87049289,101044597,111729140,97807173,258626329,57726126,46375841,46375840,57726123,258626327,73431860,73431848,70421263,57726217,57726216,70421258,74180103,87061620,73458482,73458483,87048256,73430929,61399828,49919738,49919737,61399821,74180046,87048212,87048214,87048440,101043916,113348670,99346240,99346241,99346255,85402378,85402377,99346252,87049473,87049472,87049215,73431754,60683791,257484152,87049206,101044267,87048876,87048875,83947926,83947927,87048992,73431591,73431590,87048990,271324496,92416962,92416963,87048891,87048879,73431484,60683605,60683604,73431482,77293284,91213585,85638941,85638940,98248489,256903420,86059137,100022362,269799062,115117998,101758339,257484120,99337039,85393678,71805563,70572325,57870800,57870799,257081020,97983843,94403117,80348766,66922561,66922560,80348765,94403116,101758345,101758346,115118154,115118152,125535215,111729232,97807299,91213671,91213672,87048795,87048794,88415052,83947940,83947941,91213578,77293275,77293273,71540587,58811559,257183720,28973005,28973004,37516584,47424385,58811552,71540576,85112116,73431667,60683739,60683738,73431661,74180079,61399842,270382419,115804872,258831804,97807222,83947955,70421156,57726147,46375852,46375853,57726151,70421161,73431891,84108979,73431248,60683447,60683446,70421252,83948073,87087639,87087638,101084331,101044313,87048937,73431544,60683653,60683654,73431548,73431948,73431949,87049406,259343794,125535188,111729186,97807227,258093450,87048265,84341328,70782675,58065238,46692733,46692734,58065240,70782677 Dl.O(d2) = 47265057,37355287,255518176,34656666,28816101,28816102,34656670,26665114,26665115,34656672,43929511,54671669,58656937,269366788,58656902,47265093,47265092,58656935,71392096,256913362,71879438,72093545,85680293,85525154,85525153,85680296,72093548,59727385,48343045,48343044,59727383,72462963,73279467,71049966,58334100,46966304,37085071,37085070,255138064,59059749,47659459,37737600,37737599,47659457,59059743,60683372,58651600,47259807,37350351,28811844,21544043,21544046,28811850,37350359,47259815,46849689,36970869,28472593,28472594,29327552,29327551,28756386,21864049,21864048,21881630,21127101,21127102,21866288,15792819,10941798,7240215,4564596,4564595,7240214,10941792,15792809,15806143,21882020,29193488,21881576,21866976,15793302,10942089,254231310,21866974,26980349,21880335,21880334,29192151,29834631,29177146,21866649,21866648,29177141,21880049,21880051,21886355,15809974,15809973,21881612,21881611,29176469,29176467,37737386,36764358,28269261,28269259,36764356,41745220,42123703,47660102,37738445,37738407,37738406,39046397,39709546,37737771,37737770,47659602,39534091,30922981,23485276,23485277,30922983,39534092,49468356,41745432,41745433,52059719,58020257,47682307,37760144,37760143,47682305,267827712,36591896,36591898,46458067,46514748,46514747,57870821,70572348,70572369,70572370,84109017,71805580,59064817,47664723,37742778,37742777,257483367,49282639,39355588,39355589,49282642,60683703,73431615,80348799,66922587,66922588,73622602,60871802,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282755,60683873,60683636,60683635,73431521,85639037,73431567,73431569,61399797,49919721,49919720,61399795,70421125,70421126,270790269,87048260,73430933,61399777,61399770,61399771,269870524,54666029,43923486,34650283,34650282,43923483,54666025,66922554,80348753,84103752,84103750,258831794,101043708,101043707,100969169,100969170,99346257,85402381,85402380,87048853,73431456,60683588,49282570,39355553,39355552,49282579,60683597,64144226,64144229,73431626,87049027,99589096,101044271,115118040,126879132,113026087,99037388,85112120,71540580,58811553,58811552,71540576,85112116,73431667,60683739,60683738,73431661,74180079,74180080,73431901,60683938,60683939,73431936,66922609,54666057,54666056,66922606,73622578,73622577,87244234,270875278,260562716,97807146,97807144,111729128,115118223,101044641,101044642,102066856,102066855,108690290,256904802,85388675,99332409,87049057,257484150,60683396,49282447,39355478,255978561,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072649,60683219,49282340,39355418,39355417,257605565,73430917,87048231,87048300,87048620,87049559,87049560,87048950,87048951,101044321,115117741,101758252,87784789,74180033,61399822,61399821,74180046,87048212,87048214,87048440,101043916,113348670,99346240,99346241,99346255,85402378,85402377,99346252,87049473,87049472,87049215,73431754,60683791,257484152,87049206,101044267,87048876,87048875,83947926,83947927,87048992,73431591,73431590,87048990,271324496,92416962,92416963,87048891,73431497,60683616,49282591,49282589,59059753,59059752,71800393,85388701,73431154,60683368,60683369,59316566,47923546,47923547,59316567,72051395,85638988,99589081,101072025,101044583,87049272,87049273,101044586,101043868,101043869,258718148,60683897,258213207,87049331,258717272,87049285,73431825,73431824,87048563,270829986,87048839,73431450,73431451,87048842,258717270,112147055,98184662,257483350,99346604,85402879,85402878,98184659,98184658,87049370,87049369,101044651,101043982,87048506,77293271,258835937,73431917,87049373,101044653,101044427,87049074,74180079,74180080,73431901,60683938,60683939,73431936,66922609,54666057,54666058,66922595,60871802,49468053,39533749,39533748,49468047,60871789,60683189,49282322,49282321,60683182,49282477,39355498,30754863,23332259,17065636,17065634,11974920,11974919,17065658,23332304,30754947,39355648,49282756,60683644,49282609,49282608,60683643,73431534,71814083,59072655,47672405,47672403,59072646,71814067,73430922,87048242,101043753,101043752,115117732,101044000,101043999,101758189,115118071,108690323,108690290,94403086,80348737,66922543,66922544,73431572,87048968,87049290,87049289,101044597,111729140,97807173,258626329,57726126,46375841,46375840,57726123,258626327,73431860,73431848,70421263,57726217,57726216,70421258,74180103,87061620,73458482,73458483,87048256,73430929,61399828,49919738,49919737,61399821,74180046,87048212,87048214,87048440,101043916,113348670,99346240,99346241,99346255,85402378,85402377,99346252,87049473,87049472,87049215,73431754,60683791,257484152,87049206,101044267,87048876,87048875,83947926,83947927,87048992,73431591,73431590,87048990,271324496,92416962,92416963,87048891,87048879,73431484,60683605,60683604,73431482,77293284,91213585,85638941,85638940,98248489,256903420,86059137,100022362,269799062,115117998,101758339,257484120,99337039,85393678,71805563,70572325,57870800,57870799,257081020,97983843,94403117,80348766,66922561,66922560,80348765,94403116,101758345,101758346,115118154,115118152,125535215,111729232,97807299,91213671,91213672,87048795,87048794,88415052,83947940,83947941,91213578,77293275,77293273,71540587,58811559,257183720,28973005,28973004,37516584,47424385,58811552,71540576,85112116,73431667,60683739,60683738,73431661,74180079,61399842,270382419,115804872,258831804,97807222,83947955,70421156,57726147,46375852,46375853,57726151,70421161,73431891,84108979,73431248,60683447,60683446,70421252,83948073,87087639,87087638,101084331,101044313,87048937,73431544,60683653,60683654,73431548,73431948,73431949,87049406,259343794,125535188,111729186,97807227,258093450,87048265,84341328,70782675,58065238,46692733,46692734,58065240,70782677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057613, s2 = 11113438, dlinesl.size( ) = 2 s1 = 14057613, s2 = 11113438, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14057613, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 10584082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10584083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10585218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10585754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10586069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10586069, s2 = 11198084, int(edited[s2]) = 0 s1 = 10586069, s2 = 11198084, d1 = 43, d2 = 57 Dl.O(d1) = 263010272 Dl.O(d2) = 259189176,87349058,73730139,69393533,66642808,54424013,54424014,54405518,43717686,34492209,258496403,261450978 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11674732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10586502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10586502, s2 = 11674731, int(edited[s2]) = 0 s1 = 10586502, s2 = 11674731, d1 = 32, d2 = 12 Dl.O(d1) = 181828949,261490054,198101845 Dl.O(d2) = 198101851,198101850,262517002 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14041455, s2 = 11550646, int(edited[s2]) = 0 s1 = 14041455, s2 = 11550646, d1 = 24, d2 = 4 Dl.O(d1) = 256283115,46463570,57819549,258635505 Dl.O(d2) = 205970501,199820995,192545695,184091485,184091486,263832183,205970503,211054674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041455, s2 = 11550646, dlinesl.size( ) = 22 s1 = 14109233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10586620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10586620, s2 = 10586623, int(edited[s2]) = 0 s1 = 10586620, s2 = 10586623, d1 = 20, d2 = 16 Dl.O(d1) = 42412753 Dl.O(d2) = 31394266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10586620, s2 = 10586623, dlinesl.size( ) = 2 s1 = 10586620, s2 = 10586623, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10586620, Dl.E( ) = 28, 1.62e-05 seconds used appending s1 = 10586918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10586918, s2 = 11281006, int(edited[s2]) = 0 s1 = 10586918, s2 = 11281006, d1 = 10, d2 = 23 Dl.O(d1) = 258181310,71650059,58928074,58928073,271316979,107882096,93452932,256991938,53891265,53891266,65958001,79321788,93452934 Dl.O(d2) = 65958003,53891267,43367364,43367363,53891266,259741205,122298201,136274911,271356658,113129423,113129415,99138718,85215901,71650052,71650051,85215898,85215899,71650056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10587102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10587374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15002455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11674826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099351, s2 = 11511276, int(edited[s2]) = 0 s1 = 14099351, s2 = 11511276, d1 = 8, d2 = 7 Dl.O(d1) = 261477987,262505617,181490426,263744907 Dl.O(d2) = 264079845,264648267,217784379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14099351, s2 = 11511276, dlinesl.size( ) = 14 s1 = 10588811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150495, s2 = 10588823, int(edited[s2]) = 0 s1 = 14150495, s2 = 10588823, d1 = 7, d2 = 6 Dl.O(d1) = 266842182,265091389,220581494,217509971,264870535,209338343,209338342 Dl.O(d2) = 265091391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150495, s2 = 10588823, dlinesl.size( ) = 14 s1 = 10588822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10589039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10589039, s2 = 14139248, int(edited[s2]) = 0 s1 = 10589039, s2 = 14139248, d1 = 19, d2 = 35 Dl.O(d1) = 260263591 Dl.O(d2) = 209319766,264868675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10589039, s2 = 14139248, dlinesl.size( ) = 16 s1 = 14139247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139247, s2 = 10589038, int(edited[s2]) = 0 s1 = 14139247, s2 = 10589038, d1 = 34, d2 = 18 Dl.O(d1) = 264868674,203845384 Dl.O(d2) = 260263590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139247, s2 = 10589038, dlinesl.size( ) = 16 s1 = 14844272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844272, s2 = 14901804, int(edited[s2]) = 0 s1 = 14844272, s2 = 14901804, d1 = 7, d2 = 20 Dl.O(d1) = 35037961 Dl.O(d2) = 256547209,31689153,40382850 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14901803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14901803, s2 = 14844271, int(edited[s2]) = 0 s1 = 14901803, s2 = 14844271, d1 = 27, d2 = 7 Dl.O(d1) = 49747264,61226551,256547208 Dl.O(d2) = 26957968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10589718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10589718, s2 = 14156510, int(edited[s2]) = 0 s1 = 10589718, s2 = 14156510, d1 = 0, d2 = 7 Dl.O(d1) = 245901565,246011433 Dl.O(d2) = 246391892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10589718, s2 = 14156510, dlinesl.size( ) = 14 s1 = 14156509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10589822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10589822, s2 = 11338826, int(edited[s2]) = 0 s1 = 10589822, s2 = 11338826, d1 = 16, d2 = 15 Dl.O(d1) = 264817922,202132043,195233808,263978037,264812430 Dl.O(d2) = 207929807,207929813,202132045,273744298,167399254,155767082,262337362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10589822, s2 = 11338826, dlinesl.size( ) = 14 s1 = 14204021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10590106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10591578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10591808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10592055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10592055, s2 = 11142266, int(edited[s2]) = 0 s1 = 10592055, s2 = 11142266, d1 = 67, d2 = 6 Dl.O(d1) = 164358551,260908446,271768759,58328855,46961531,37080758,37080757,256674962 Dl.O(d2) = 37177377 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10592326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11675052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10593414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14026845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14026845, s2 = 11406858, int(edited[s2]) = 0 s1 = 14026845, s2 = 11406858, d1 = 21, d2 = 19 Dl.O(d1) = 7196200,4533624,2725233,2725234,4533626,7196203,255053911 Dl.O(d2) = 259954507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14026845, s2 = 11406858, dlinesl.size( ) = 24 s1 = 10594162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10594162, s2 = 10594087, int(edited[s2]) = 0 s1 = 10594162, s2 = 10594087, d1 = 11, d2 = 33 Dl.O(d1) = 58102488 Dl.O(d2) = 85006170,259940455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10594162, s2 = 10594087, dlinesl.size( ) = 64 s1 = 14073975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14073975, s2 = 5990239, int(edited[s2]) = 0 s1 = 14073975, s2 = 5990239, d1 = 2, d2 = 103 Dl.O(d1) = 71369614 Dl.O(d2) = 239184493,239765032,274856453,241259156,267068451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14073975, s2 = 5990239, dlinesl.size( ) = 22 s1 = 10594557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10595147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10595147, s2 = 11126384, int(edited[s2]) = 0 s1 = 10595147, s2 = 11126384, d1 = 11, d2 = 9 Dl.O(d1) = 15882422,14224049,14224047,16227103,22385146,26662715,26669685,34662448,29780695,22415349,16250442,11297756,7500815,7500816,11297759,15882113,15882114,11077537,7345310,267972495,15960919,18284979,13489732,13489733,16850556,11784372,9229306,6044647,3782133,2265645,254300541 Dl.O(d2) = 255669141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10595147, s2 = 11126384, dlinesl.size( ) = 14 s1 = 10595617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10595617, s2 = 16313569, int(edited[s2]) = 0 s1 = 10595617, s2 = 16313569, d1 = 13, d2 = 11 Dl.O(d1) = 38106029,29542774,22199487,16070420,11158922,7401461,4675657,2816800,1634149,929318,929317,267789931,254525549,11158919,16070417,17428567,255906415,17027281,11942349,7993185,7993186,11942351,16203756,11731311,11264113,8305895,8305894,12298032,17446440,22354503,24190984,17821901,17821902,23018514,18352209,13029072,8872000,5784311,5784196,5784194,8871756,13028689,13028803,8871843 Dl.O(d2) = 165512276,176187961,176187968,176187950,165512267,153736014,141069833,141069834,153736017,259998726,113848262,99832515,258755826,127719114,141069839,261723552,185646160,193898170,200971335,193898173,262238282,153736031,153736030,261723554,185646163,193898166,193898165,200971331,206937008,202933151,196185744,188299741,188299733,179245126,168955334,157489558,157489557,168955332,179245116,168955329,168955330,179245117,185646160,193898170,200971335,193898173,262238282,153736031,153736030,261723554,262716604,176187957,165512272,153736022,153736021,165512270,176187956,185646154,185646155,176187957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10595617, s2 = 16313569, dlinesl.size( ) = 2 s1 = 10595617, s2 = 16313569, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10595617, Dl.E( ) = 22, 3e-05 seconds used appending s1 = 10595837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10596026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10596026, s2 = 11520612, int(edited[s2]) = 0 s1 = 10596026, s2 = 11520612, d1 = 16, d2 = 11 Dl.O(d1) = 186202853,194393138 Dl.O(d2) = 212185823,265580339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10596026, s2 = 11520612, dlinesl.size( ) = 18 s1 = 10596123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10596123, s2 = 11540476, int(edited[s2]) = 0 s1 = 10596123, s2 = 11540476, d1 = 14, d2 = 12 Dl.O(d1) = 217763766,214127699 Dl.O(d2) = 214127697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10596123, s2 = 11540476, dlinesl.size( ) = 34 s1 = 13999051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13999051, s2 = 10596930, int(edited[s2]) = 0 s1 = 13999051, s2 = 10596930, d1 = 17, d2 = 5 Dl.O(d1) = 23483346,20922933,15015582,10343877,6809959,4271184,4271185,6809961,10343881,15015587,20922935,28098252,20922934,15015584,10343879,10343878,15015580,255792625 Dl.O(d2) = 255532229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13999051, s2 = 10596930, dlinesl.size( ) = 14 s1 = 10596929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15227073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15227073, s2 = 11340104, int(edited[s2]) = 0 s1 = 15227073, s2 = 11340104, d1 = 38, d2 = 22 Dl.O(d1) = 261795781,273148449,186639211,194759554,201707934,207556553,212380020,216325678,265588109,222363892 Dl.O(d2) = 227205913,225206224,265048812,217079643,213282837,263985572,196262907,188388951,262358844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15227073, s2 = 11340104, dlinesl.size( ) = 30 s1 = 10597251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10597251, s2 = 11517900, int(edited[s2]) = 0 s1 = 10597251, s2 = 11517900, d1 = 5, d2 = 13 Dl.O(d1) = 230004985 Dl.O(d2) = 222077876,264996041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10597251, s2 = 11517900, dlinesl.size( ) = 14 s1 = 10597318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10597318, s2 = 11129298, int(edited[s2]) = 0 s1 = 10597318, s2 = 11129298, d1 = 2, d2 = 1 Dl.O(d1) = 12271194,8286504,5345778,3285398,3285396,5345773,8286488,12271180,12675831,8608368,8608366,10701834,10701837,15475599,17550800,17550798,17576034,12404173,8383036,8383035,12404167,16560768,22776042,16561689,16560916,16560917,16494334,11492138,7643418,4835469,4835465,7643390,9246064,6055601,6055600,9246061,13512904 Dl.O(d2) = 73114124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10597318, s2 = 11129298, dlinesl.size( ) = 2 s1 = 10597318, s2 = 11129298, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10597318, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14122617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14122617, s2 = 14148236, int(edited[s2]) = 0 s1 = 14122617, s2 = 14148236, d1 = 11, d2 = 6 Dl.O(d1) = 185457530,263890265,264495143,215792345,219134927,221957024,224380459,265715891 Dl.O(d2) = 265860749,228318818,229927726,274596221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14122617, s2 = 14148236, dlinesl.size( ) = 5 s1 = 14148235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14148235, s2 = 14122618, int(edited[s2]) = 0 s1 = 14148235, s2 = 14122618, d1 = 8, d2 = 1 Dl.O(d1) = 274596220 Dl.O(d2) = 197469290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14148235, s2 = 14122618, dlinesl.size( ) = 11 s1 = 14156595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147861, s2 = 11582366, int(edited[s2]) = 0 s1 = 14147861, s2 = 11582366, d1 = 3, d2 = 10 Dl.O(d1) = 235803355 Dl.O(d2) = 237470349,237470348,238192107,238806683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147861, s2 = 11582366, dlinesl.size( ) = 12 s1 = 10597712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10597712, s2 = 11453766, int(edited[s2]) = 0 s1 = 10597712, s2 = 11453766, d1 = 10, d2 = 2 Dl.O(d1) = 18446527,13103699,8930524,8930525,13103684,12922169,8790560,8790558,12922162,13019138,9535132,6255144,3915758,3915757,6255138,9186784,13103583,8930452,5828848,5828849,6853954,4301320,4301319,3003665,1744344,1744340,3003655 Dl.O(d2) = 16782304,257000431,258188631,86683149,86683150,100655641,260652881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10597712, s2 = 11453766, dlinesl.size( ) = 12 s1 = 10598626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10598626, s2 = 14930858, int(edited[s2]) = 0 s1 = 10598626, s2 = 14930858, d1 = 30, d2 = 25 Dl.O(d1) = 1444616,1444613,2504280,4186938,6681376,10166976,14782627,20612338,27679426,257969029,57487151,57487150,70151143,81907693,81907695,91769746,77844727,77844726,271048681,96395056,82393200,69344576,56769889,45614298,35953598,35953599,30129300,30129301,38706266,45642875,45642876,56806318,57368880,57368877,56443619,45366806,35782060,27535828,20518580,20518579,27535794,35430793,35430794,27640783,27640786,27668013,31650762,35293366,27177919,20257316,20257320,27177910,35293332,44706601,51138909,57484700,52486365,52486364,64356632,77521866,89486942,89486940,82182421,259148552,45154923,56167377,56167373,56167372,46142812,46091340,36293377,27876888,27795506,20690015,20690014,27795500,36174616,45470588,35850625,35850624,45470637,56587002,64653274,77841330,68724746,56233246,45252770,45252769,56289547,68788309,70044741,70044739,77717645,64536526,52637858,42252668,42252670,52637860,64536529,64644082,52737729,52737726,64644069,52738202,42345731,33361169,25598724,18987705,13549455,9275777,9275776,13549452,18987695,25598699,33361116,42345636,52737946,52737947,64644419,53164381,42714616,33684519,33684518,42714610,35933328,27691437,27691438,27870232,27642045,20605948,20566181,20566178,27607495,27607010,27607006,27822256,20707001,20706997,27812119,27816178,27816176,36205279,45968387,45516241,37251457,37251459,45923556,36170980,27793686,27793685,36170977,45923550,57171911,69810941,257041134,35906565,27617768 Dl.O(d2) = 254697845,255343881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10598626, s2 = 14930858, dlinesl.size( ) = 2 s1 = 10598626, s2 = 14930858, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10598626, Dl.E( ) = 32, 1.62e-05 seconds used appending s1 = 14078401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10599037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10599037, s2 = 11190682, int(edited[s2]) = 0 s1 = 10599037, s2 = 11190682, d1 = 13, d2 = 5 Dl.O(d1) = 21054966,21054965,28255846,32084301,36427796,28258251,28258253,27970087,27970086,36428638,36748260,28253024,28253025,28253638,21053124,15122321,10430468,10430467,15122318,21053119,21055838,15124375,15124374,21055836,23206899,21050699,15120538,10429348,10429349,15120556,21050727,15122236,15122238,15122221,15122218,15122260,21052639,15121953,10430209,10430206,15121936,20806355,14911503,10253204,6737211,4221400,2524026,1454551,823566,823569,1454565,2524059,4221440,6737288,7495431,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120849,21051127,26994435,26994436,35079137,35079135,31034025,31034026,27969516,27969517,36428178,32082597,29182738,23647501,23647500,31135209,39817760,40857821,32086624,32086623,40857819,46637707,50990997,40856602,40856603,40855242,40855243,40885009,32111786,32082843,32082842,31034889,23553231,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,25697594,26699726,19879026,19879028,26699727,31589477,31664293,31169716,31169715,268940677 Dl.O(d2) = 61788189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10599037, s2 = 11190682, dlinesl.size( ) = 14 s1 = 14930857, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10599597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10599597, s2 = 11442676, int(edited[s2]) = 0 s1 = 10599597, s2 = 11442676, d1 = 9, d2 = 6 Dl.O(d1) = 264099621,204937150,198589402,191097482,182391959,172436246,172436245,182391956,273814797,204937146,263767161,191097478,198589398 Dl.O(d2) = 263767159,262987349,161229752,161229753,172436237,161229762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10599597, s2 = 11442676, dlinesl.size( ) = 2 s1 = 10599597, s2 = 11442676, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10599597, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14119265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119265, s2 = 5474509, int(edited[s2]) = 0 s1 = 14119265, s2 = 5474509, d1 = 93, d2 = 90 Dl.O(d1) = 262085542,193728257,200820454,193852152,193852151,200820453,206806002,211751768,263028742,221957743 Dl.O(d2) = 219997012,265260265,225046235,227071934,225046234,225046235,227071935,227608864,227608865,225674130,264831938,273754573,167896944,156316568,262846811,156316543,143792202,143792203,143792223,130463716,130463717,143792225,156316549,272279937,116619117,261331307,156316551,156316573,167896950,263270627,273398217,167896933,156316564,143792218,130463713,116619120,102515294,102515295,116619115,102515289,88507287,88507286,102515287,116619113,116619118,272279939,130463720,116619123,270922033,74871348,74871345,270922031,130463711,143792216,272620201,143792214,261872825,167896934,178323929,263270617,263270615,195535080,202386234,263997997,263270625,167896935,156316560,261331309,116619120,102515294,102515295,116619122,130463718,143792227,156316572,167896946,273398215,178323920,263652957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 10599953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10600395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10600395, s2 = 10600380, int(edited[s2]) = 0 s1 = 10600395, s2 = 10600380, d1 = 52, d2 = 22 Dl.O(d1) = 262812122,163473783,151592350,138890649,138890647,151592347,163473779,273515763 Dl.O(d2) = 224823091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10600395, s2 = 10600380, dlinesl.size( ) = 2 s1 = 10600395, s2 = 10600380, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10600395, Dl.E( ) = 54, 2e-05 seconds used appending s1 = 10600381, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14126725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126725, s2 = 11325050, int(edited[s2]) = 0 s1 = 14126725, s2 = 11325050, d1 = 21, d2 = 16 Dl.O(d1) = 187554960,178355663,178355664,187554957 Dl.O(d2) = 260165489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126725, s2 = 11325050, dlinesl.size( ) = 18 s1 = 10600659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113715, s2 = 10601161, int(edited[s2]) = 0 s1 = 14113715, s2 = 10601161, d1 = 8, d2 = 7 Dl.O(d1) = 260935598,256140485 Dl.O(d2) = 33374701,25609879,268158438,9281516,6143302,6143303,9281522,6079865,3804310,2278843,1321602,1321603,2278847,267862267,6254381,268030587,6143071,3865040,3865043,6173009,3862587,2313834,1342151,766388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113715, s2 = 10601161, dlinesl.size( ) = 2 s1 = 14113715, s2 = 10601161, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14113715, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 14086191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086191, s2 = 11543944, int(edited[s2]) = 0 s1 = 14086191, s2 = 11543944, d1 = 19, d2 = 16 Dl.O(d1) = 259661653,261977025,170806497,180933486,189818601,197479680,264360637,274145779 Dl.O(d2) = 209444013,204002559,264631489,217575086,220635017,265477079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086191, s2 = 11543944, dlinesl.size( ) = 16 s1 = 10601514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10601514, s2 = 11053830, int(edited[s2]) = 0 s1 = 10601514, s2 = 11053830, d1 = 10, d2 = 5 Dl.O(d1) = 58189747,46823653,36945728 Dl.O(d2) = 256534131,49744372,61224145,61701608,61701609,64210905,257644088,42024442,33080408,25349321,18767437,18767438,25349326,33080418,40189016,31504061,24005498,24005496,31504054,40189006,35217418,27124400,27124401,31080802,24001591,24001587,255596805,17917100,24300177,29876034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10601514, s2 = 11053830, dlinesl.size( ) = 14 s1 = 10601735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11792142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124981, s2 = 13006961, int(edited[s2]) = 0 s1 = 14124981, s2 = 13006961, d1 = 59, d2 = 57 Dl.O(d1) = 260437700,125501032,257351018,83915034,83915033,97609127,94558159,80504622,80504624,79756846,79613743,79613744,79703744,79703747,81211233,67745989,67745993,81211227,95267263,89485483,75721890,75721888,74640573,74640574,79792042,80062612,67494777,55153614,49700882,39687279,39567322,39567326,39600100,30967309,23510093,17215720,12104627,12104624,17215716,23510089,30967299,39609382,49585077,61028647,73800317,73213953,67146320,67053460,67053458,73796326,61025221,61025217,54835084,44047527,34739652,26725136,26725139,34739590,44047382,54834841,67137283,67277462,55179141,49522497,49522500,39667094,39667091,49668966,57671188,46325002,36470559,36470558,43478829,43478827,46324257,46324261,36470177,36470175,34358289,26464624,26464621,34358314,43487626,43682885,34472009,34472012,43682821,43682825,54351005,65635640,61025379,49582661,44084601,34763519,34763522,44084578,44084654,44084653,257896607,80684903,257945440,67053419,54775281,54775283,67053421,61025216,61025217,54835084,44047527,34739652,26725136,26725139,34739589,44047378,54834828,55190226,55190229,67533982,60930802,60930805,60930827,60930824,73687963,67146094,54842007,44052083,34742115,34719790,34719792,44010660,39137124,30538152,30538151,39137135,34739652,26725136,26725139,34739590,44047382,54834841,67137283,67277462,55179141,49522497,45022461,35544872,27380941,20418336,19962680,14293260,9819037,6450967,4044205,2422108,2422111,1401946,797749,797753,1401970 Dl.O(d2) = 173839075,273681346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124981, s2 = 13006961, dlinesl.size( ) = 54 s1 = 14139343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139343, s2 = 11533798, int(edited[s2]) = 0 s1 = 14139343, s2 = 11533798, d1 = 21, d2 = 16 Dl.O(d1) = 265484531,274483382 Dl.O(d2) = 265747812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139343, s2 = 11533798, dlinesl.size( ) = 20 s1 = 10602680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10602680, s2 = 11352252, int(edited[s2]) = 0 s1 = 10602680, s2 = 11352252, d1 = 24, d2 = 23 Dl.O(d1) = 29754262,38323783,268970419,30647231,255444684,38323784,38323785,48233798,47025785,47025786,268937656,23266098,17002244,11915445,255973235,39279879,257487675 Dl.O(d2) = 71846621,270312461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10602837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10602837, s2 = 11434158, int(edited[s2]) = 0 s1 = 10602837, s2 = 11434158, d1 = 2, d2 = 15 Dl.O(d1) = 171410771 Dl.O(d2) = 171410775,181429682,181429681,181429683,181429684,190229021,263492384,171410767,171410768,181429672,190229013,181429683,181429684,190229018,190229017,181429689,171410779,171410780,181429686,190229016,181429675,181429669,262649736,147944532,147944531,262502499 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10602959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10602959, s2 = 11596724, int(edited[s2]) = 0 s1 = 10602959, s2 = 11596724, d1 = 1, d2 = 14 Dl.O(d1) = 224934554 Dl.O(d2) = 239023674,239613756,266921047,266812583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10602959, s2 = 11596724, dlinesl.size( ) = 20 s1 = 13999305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10603546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13999335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10603822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10603822, s2 = 11397622, int(edited[s2]) = 0 s1 = 10603822, s2 = 11397622, d1 = 0, d2 = 12 Dl.O(d1) = 126475414 Dl.O(d2) = 164419272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10603822, s2 = 11397622, dlinesl.size( ) = 16 s1 = 11675708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10604383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10604419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10604419, s2 = 10604422, int(edited[s2]) = 0 s1 = 10604419, s2 = 10604422, d1 = 7, d2 = 2 Dl.O(d1) = 265808983 Dl.O(d2) = 232915781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10604419, s2 = 10604422, dlinesl.size( ) = 14 s1 = 10604423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10604423, s2 = 10604418, int(edited[s2]) = 0 s1 = 10604423, s2 = 10604418, d1 = 1, d2 = 22 Dl.O(d1) = 232012642 Dl.O(d2) = 265808982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10604423, s2 = 10604418, dlinesl.size( ) = 26 s1 = 10604457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10604457, s2 = 6786649, int(edited[s2]) = 0 s1 = 10604457, s2 = 6786649, d1 = 177, d2 = 95 Dl.O(d1) = 77168946,64032201,52194263,52194262,64032200,64032204,77168948,258249030,257057392,17398133,12260787,8280174,5342322,3283561,1931144,1931145,3283563,5342327,8280182,5630511,5630512,3637248,3637249,5829053,8930752,13103969,9920366,6519990,6519989,9920363,9920349,6519977,4085195,4085197,6519983,5806062,5806063,8675909,8675908,12765539,8920709,5821583,3631751,254434713,8920711,13090660,18429450,24943255,256606991,51756216 Dl.O(d2) = 258442427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10604457, s2 = 6786649, dlinesl.size( ) = 32 s1 = 14184657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14184657, s2 = 14130923, int(edited[s2]) = 0 s1 = 14184657, s2 = 14130923, d1 = 47, d2 = 48 Dl.O(d1) = 22440489,29806827,256952570,59676371 Dl.O(d2) = 258706677,85145117,71574916,58848407,47463489,37556016,29009817,21723177,21723176,29009816,37556015,47463488,58848396,71574904,71574946,85145137,99070260,113059076,126913046,140261212,262196355,175531652,185066578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14184657, s2 = 14130923, dlinesl.size( ) = 8 s1 = 10605691, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14997427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14997427, s2 = 11050218, int(edited[s2]) = 0 s1 = 14997427, s2 = 11050218, d1 = 3, d2 = 10 Dl.O(d1) = 196030767 Dl.O(d2) = 269044656,37207895,256084172,28402597,21181834,15220815,10499254,10499255,15220816,21181836,28402602,31815327,24299651,18295535,254896449,5761452,5761453,8840578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14997427, s2 = 11050218, dlinesl.size( ) = 8 s1 = 10607124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10607124, s2 = 10607122, int(edited[s2]) = 0 s1 = 10607124, s2 = 10607122, d1 = 18, d2 = 3 Dl.O(d1) = 37067874,37067875,268253280,26678102,34671387,34669024,26675827,19858578,14227536,14227533,10831360,10831362,15419217,15648690,17240253,14501242,9978406,6558503,4108830,4108831,6558505,9978409,255336363 Dl.O(d2) = 35199309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10607124, s2 = 10607122, dlinesl.size( ) = 20 s1 = 10607123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10607123, s2 = 10607125, int(edited[s2]) = 0 s1 = 10607123, s2 = 10607125, d1 = 2, d2 = 30 Dl.O(d1) = 33327276 Dl.O(d2) = 255336362,9251595,6059149,6059150,7533819,11337137,15394282,15394281,16271702,13679645,9367880,6136131,3838959,3838962,2299941,2299938,3838990,6136214,9368053,13679887,268253281,31215599,39892915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10607123, s2 = 10607125, dlinesl.size( ) = 30 s1 = 11792208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14296055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10607958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10607958, s2 = 13141368, int(edited[s2]) = 0 s1 = 10607958, s2 = 13141368, d1 = 2, d2 = 25 Dl.O(d1) = 61196128,49717554,39698853,31021841,23540726,254526242,31021842,38823242,38823241,47886946,39173369,30575633,23158519,16897183,11824732,11824733,16897185 Dl.O(d2) = 24123570,31629057,31629056,31629057,257090701 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10607984, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14135023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135023, s2 = 11363078, int(edited[s2]) = 0 s1 = 14135023, s2 = 11363078, d1 = 17, d2 = 2 Dl.O(d1) = 264286900,193789220,264213059,211794887,215830974,265042598,264986879,264816520,200874846,264213059,211794887,215830974,265042598 Dl.O(d2) = 262815546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135023, s2 = 11363078, dlinesl.size( ) = 14 s1 = 14300965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14300965, s2 = 11566460, int(edited[s2]) = 0 s1 = 14300965, s2 = 11566460, d1 = 10, d2 = 0 Dl.O(d1) = 239344263 Dl.O(d2) = 226126725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14300965, s2 = 11566460, dlinesl.size( ) = 14 s1 = 14054181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14054181, s2 = 14907139, int(edited[s2]) = 0 s1 = 14054181, s2 = 14907139, d1 = 8, d2 = 5 Dl.O(d1) = 32842811,25137494,18583195,18583197,13208463,9003939,5877864 Dl.O(d2) = 3669699,3669697,5877929,9004125,13206467,18584229,256107115,41764234,52077404,63895723,77006409,90885214,105064120,119256340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14054181, s2 = 14907139, dlinesl.size( ) = 2 s1 = 14054181, s2 = 14907139, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14054181, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 10608729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11675982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10608990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10608990, s2 = 14149896, int(edited[s2]) = 0 s1 = 10608990, s2 = 14149896, d1 = 30, d2 = 15 Dl.O(d1) = 264632335,265096291,223246095 Dl.O(d2) = 235342605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10608990, s2 = 14149896, dlinesl.size( ) = 34 s1 = 14149895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149895, s2 = 10608991, int(edited[s2]) = 0 s1 = 14149895, s2 = 10608991, d1 = 22, d2 = 31 Dl.O(d1) = 237683386 Dl.O(d2) = 228759469,265096290,264632334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149895, s2 = 10608991, dlinesl.size( ) = 18 s1 = 10609673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10610298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10610298, s2 = 11037492, int(edited[s2]) = 0 s1 = 10610298, s2 = 11037492, d1 = 10, d2 = 7 Dl.O(d1) = 255092398,7096150,4467899,4467900,7096151 Dl.O(d2) = 15529168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10610298, s2 = 11037492, dlinesl.size( ) = 14 s1 = 15022167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10610440, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10610440, s2 = 15022168, int(edited[s2]) = 0 s1 = 10610440, s2 = 15022168, d1 = 52, d2 = 93 Dl.O(d1) = 17712517,24068414,20011461,20011421,254353974,16171231,11238950,7459496,4713609,2839614,2839615,4713614,7459503,11238963 Dl.O(d2) = 225739642,274496297,232154559,265800302,266063468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10610440, s2 = 15022168, dlinesl.size( ) = 64 s1 = 14036939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14083241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10611926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11676172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11676172, s2 = 7504079, int(edited[s2]) = 0 s1 = 11676172, s2 = 7504079, d1 = 48, d2 = 142 Dl.O(d1) = 239521204 Dl.O(d2) = 242559299,267154174,242890115,242890140,243198114,242890124,242559304,242204107,241819902,241403858,241403859,241819904,242204110,242559307,242204117,241819907,241403862,240954637,240954636,241403861,241819906,242204115,242559313,267154180,243198120,243198134,243198116,242890124,242559304,242559303,242559310,242890129,267186734,243755707,267342569,244236166,244004639,274933450,267217274,243198111,267154178,242559314,242559313,242890134,243198127,243198121,243198122,242890135,274923484,242890137,242890138,243198133,267217272,243755705,267186730,243198112,243486979,267272149,243486972,267297357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11676172, s2 = 7504079, dlinesl.size( ) = 54 s1 = 10612324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10612324, s2 = 11512510, int(edited[s2]) = 0 s1 = 10612324, s2 = 11512510, d1 = 0, d2 = 40 Dl.O(d1) = 222916311 Dl.O(d2) = 222643052,219919462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10612324, s2 = 11512510, dlinesl.size( ) = 2 s1 = 10612324, s2 = 11512510, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10612324, Dl.E( ) = 48, 2e-05 seconds used appending s1 = 14186771, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14047445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047445, s2 = 11126650, int(edited[s2]) = 0 s1 = 14047445, s2 = 11126650, d1 = 7, d2 = 11 Dl.O(d1) = 254295622,9484139,6219077,3892622,3892623,3889443,2328759,1349772,770046,770045,779084 Dl.O(d2) = 13812304,19316517,25985901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047445, s2 = 11126650, dlinesl.size( ) = 12 s1 = 10612980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10612980, s2 = 11119708, int(edited[s2]) = 0 s1 = 10612980, s2 = 11119708, d1 = 19, d2 = 0 Dl.O(d1) = 156123107 Dl.O(d2) = 52301404,257095938,18718631,14902384,14902385,20794866,27956323,36414463,46267152,41695442,32778801,28390261,21171242,15212681,10493678,10493677,15212677,21171233,25481958,18879589,18879590,25481959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10612980, s2 = 11119708, dlinesl.size( ) = 12 s1 = 14127999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10613573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10613573, s2 = 11031808, int(edited[s2]) = 0 s1 = 10613573, s2 = 11031808, d1 = 1, d2 = 3 Dl.O(d1) = 58275075,46910000,254970538,21312392,21312393,28535047,29496639,22157580,22157578,29496638,29423565,26937656,22157266,22157267,29496275,38059401,30916610,23479595,17196697,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,6483488,9869671,14362955,14373404,10912882,7217224,7217221,10912873,15757760 Dl.O(d2) = 4387146,4387144,6982346,8344995,12351467,17515395,23858579,18433781,13093533,8922612,8922614,13093538,13093522,13093524,13379252,13379255,16881847,11811407,11811408,16881851,23142041,30559191,30198766,25409683,18818831,13406882,13406766,9166103,5999349,5999350,9166105,13406771,18818682,25409504,33149993,255739988,33149277,41968774,33025920,268093344,33415138,255496158,36538015,255364616,46399069,46399068,38819130,30235861,30235860,38819129,38270943,29704699,256009322,12300877,8308083,8308085,12300879,17450018,23780045,31265110,31602818,31602819,254280530,19705907,14129460,254137658,267740818,9847426,6467774,4052568,4052567,4030533,4030531,5530989,3416620,2016987,1153875,1153872,2016953,3416555,5530784,8532613,12579341,17774670,24138941,254416444,39171352,254611580,16894561,11822639,11822640,16894562,254237952,9410376,6165552,6165551,9410372,13736160,254237368,12036051,12036050,17126762,23398797,30826470,39145911,31573800,31573801,31676347,31676346,34321225,34321226,29668884,29094288,21796496,15737144,10899134,7208445,4541902,2730318,1582046,1582045,2730314,4541893,7208427,10899098,11475029,11475030,11148641,7394477,4671444,254525019,11148644,16056307,11148534,11148533,14575534,10029521,10029522,14575538,254296402,9285432,6082740,6082742,9285434,12934001,9797913,6440683,6440684,9797918,14254880,14605720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10613573, s2 = 11031808, dlinesl.size( ) = 2 s1 = 10613573, s2 = 11031808, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10613573, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 10614028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086327, s2 = 11016868, int(edited[s2]) = 0 s1 = 14086327, s2 = 11016868, d1 = 165, d2 = 4 Dl.O(d1) = 257230042,42330406,33349001,25588668,18979783,13543406,9271601,9271600,6077539,6077540,267866652,4435922,2663567,2663568,4435924,7047978,255035439,256325715,47095656,47095657 Dl.O(d2) = 33643042,255398344,13702009,9384520,6148019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086327, s2 = 11016868, dlinesl.size( ) = 118 s1 = 10614815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15091946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15091946, s2 = 768196, int(edited[s2]) = 0 s1 = 15091946, s2 = 768196, d1 = 14, d2 = 1 Dl.O(d1) = 14931828,256269815,14994169,255364469,10353358,6817879,4276709,4276710,6817882,10353365,15025506,15024174,10352112,10304927,10300218,10300215,9101294,5955004,5955003,6343323,3979777,3979778,6343325,5211641,3179610,1861203,1861206,3179624,5211658,3704950,3704953,2219838,2219833,3706591,2759790,2759792,4587290,7273995,8472656,10363474,12660305,9093685,5949214,5949215,6843376,6843378,5591903,5591902,6843361,10363275,255007303,13312786,13312785,10363520,6826851,6826852,10363523,7272822,5947200,5947199,9090830,13309682,15073362,10396411,6853080,254715783,15073351,20985822 Dl.O(d2) = 19576476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15091946, s2 = 768196, dlinesl.size( ) = 26 s1 = 10615435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10615983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10615983, s2 = 11008420, int(edited[s2]) = 0 s1 = 10615983, s2 = 11008420, d1 = 28, d2 = 20 Dl.O(d1) = 11106807,11583064,7711220,4880190,4880191,7711225,11109988,11110002,11584467,7710758,4879886,4879885,7710750,11110216,11110217,16003316,11584519,7710803,4879925,2940369,1705110,969277,969274,1705102,2940357,2940418,4880022,7710960,10484180,7502230,7502231,11299829,11583114,7709818,7709815,4879980,2940397,2940396,4879976,7710845,11582703,11299893,7502283,7355549,4646424,4646425,4879171,4879170,4880279,7709790,11583076,7711215,7368498,4654924,4654922,7368490,11091028,15976840,11584431,11110236,7368644,7368634,7368633,11110223,11103686,7363584,7355685,4646515,2798889,1623603,923222,923221,1623597,2798876,4646499,7355510,11090926,15976710,16253107,11585309,255074880,15976944,15200360,10484147,10484146,15200355,16607779,15976959,11091147,11091146,15976958,16002881,22115630,28373189,28373190,36870110,38805515,256385248,38805580,30222094,30222095,37976429,47894191,38804334,38011851,38011852,255886548,15976739,15976738,11091016,11091017,15976588,15976643,11090867,11090866,10484099,10484100,15200276,21155888,28373172,23927135,22829892,254524460,15200295,10484110,6912374,6912376,10484119,15200314,16607373,16607374,16610565,22082645,22082644,16786937,16608828,11583905,7710342,4879605,2940170,1704999,1705000,2940175,4879613,7710361,254766364,255076752,12412854,17585671,23927183,22829908,16608766,16608767,22829911,268615969,29449502,29449504,38011715,39284723,49211066,60121166,48726228,48726227,40097134,31417160,23927143,23927142,31417157,23927189,17585675,12412858,8389525,8389526,12412860,15490107,10711686,7076578,4455177,4455179,7076584,10711700,7753092,4910264,4910265,7753084,7527270,4760568,4760566,7527264,11330203,16287501,22455690,21391726,21391727,15452085,10683878,7057752,7057751,10683872,8621480,8621479,12691131,16609905,16609906,22831081,22417754,16252502,16252503,17585635,17585636,23927149,22159672,17444738,12296854,12296852,8389517,5413732,3327810,3327809,5358751,3294015,1937294,1937297,3293960,3293958,5358640 Dl.O(d2) = 10919383,10919380,10921119,15768763,254342658,29143549,21835852,15766686,10919525,10919526,15766688,21835854,29142727,21835011,21835009,15777212,10929047,7230256,7230257,10929050,15777217,16683756,22917282,21847775,15777240,10929060,7230264,7230265,10929063,15777245,21145097,19608576,14050668,9661554,6353352,3986362,3986360,6353347,9661544,14050653,19608555,19607574,19607576,19608537,26336725,21848554,15777883,15777881,21848548,29157138,21852075,15781137,15781139,21852083,26336336,19608065,14050324,14050322,15778668,15778667,21849473,26336849,19608481,14050602,14050601,19608477,26336845,29182167,29182168,37717818,34209927,26336071,19607793,19607794,21840069,21840068,19608602,19608603,21871282,15797229,10945514,7243114,4566541,2746433,2746432,4566535,7243105,9661229,9661226,14050133,14493459,14493461,254602602,22515912,254375354,11727652,11727651,11727660,11727661,7829503,4969826,3001768,1743237,1743238,3001771,4969834,7829515,11727702,7829532,4969842,4969843,7829534,11727734,11727682,11727681,15586020,15586019,21615783,28891995,31118870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10615983, s2 = 11008420, dlinesl.size( ) = 20 s1 = 10616063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10616063, s2 = 14101554, int(edited[s2]) = 0 s1 = 10616063, s2 = 14101554, d1 = 17, d2 = 15 Dl.O(d1) = 265672361,223766793,265138617 Dl.O(d2) = 273344640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10616063, s2 = 14101554, dlinesl.size( ) = 18 s1 = 14101553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101553, s2 = 10616060, int(edited[s2]) = 0 s1 = 14101553, s2 = 10616060, d1 = 16, d2 = 14 Dl.O(d1) = 273344641 Dl.O(d2) = 265138616,226454524,265672360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101553, s2 = 10616060, dlinesl.size( ) = 18 s1 = 10616159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131415, s2 = 10616158, int(edited[s2]) = 0 s1 = 14131415, s2 = 10616158, d1 = 49, d2 = 43 Dl.O(d1) = 202149052 Dl.O(d2) = 155809580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131415, s2 = 10616158, dlinesl.size( ) = 76 s1 = 10617207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10617207, s2 = 11612634, int(edited[s2]) = 0 s1 = 10617207, s2 = 11612634, d1 = 7, d2 = 9 Dl.O(d1) = 266825387 Dl.O(d2) = 267066753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10617207, s2 = 11612634, dlinesl.size( ) = 12 s1 = 10617353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10617353, s2 = 14050176, int(edited[s2]) = 0 s1 = 10617353, s2 = 14050176, d1 = 10, d2 = 13 Dl.O(d1) = 258333629,89582598,260202335,262411019,263811716 Dl.O(d2) = 62836045,51186002,269652982,255222383,5712414,254289029,2118487,3555776,3555965,5712739,8772074,8801134,5732998,3569677,3569676,5733003,8801143,9783883,9783882,14232627,16438848,22624117,29992244,35199391,32324316,32324315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10617353, s2 = 14050176, dlinesl.size( ) = 14 s1 = 14050175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050175, s2 = 10617352, int(edited[s2]) = 0 s1 = 14050175, s2 = 10617352, d1 = 12, d2 = 10 Dl.O(d1) = 29182647,21871814,15797679,15797680,21871820,24761348,24761349,22326958,16181213,16181215,22326963,29678094,32516976,41364306,37132985,28620849,21383879,15400860,14558298,14558297,254289028,20322045,255222382,269652983,95630872,109834560 Dl.O(d2) = 263811717,262411018,260202334,137655408,258333628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050175, s2 = 10617352, dlinesl.size( ) = 14 s1 = 14061599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14148111, s2 = 14128190, int(edited[s2]) = 0 s1 = 14148111, s2 = 14128190, d1 = 28, d2 = 12 Dl.O(d1) = 266616313,234321194,234321193,234321194,233220205,233220204,266417920 Dl.O(d2) = 265704970,264736048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14148111, s2 = 14128190, dlinesl.size( ) = 30 s1 = 14128189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128189, s2 = 14148112, int(edited[s2]) = 0 s1 = 14128189, s2 = 14148112, d1 = 17, d2 = 11 Dl.O(d1) = 264736049,265704971,229822155,231259873 Dl.O(d2) = 228203310,266417921,236618291,237418406,238145164,238145163,238145164,266616312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128189, s2 = 14148112, dlinesl.size( ) = 8 s1 = 10618491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10619391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10619545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10619545, s2 = 11383900, int(edited[s2]) = 0 s1 = 10619545, s2 = 11383900, d1 = 47, d2 = 43 Dl.O(d1) = 130089794,261850069,143417709 Dl.O(d2) = 260735709 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11676668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11676678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11676678, s2 = 11162960, int(edited[s2]) = 0 s1 = 11676678, s2 = 11162960, d1 = 10, d2 = 25 Dl.O(d1) = 103884683 Dl.O(d2) = 39995364,31318340,23828596,17490800,17490805,20840024,28004665,30148683,22761463,16549052,11534698,7673843,4855696,4855697,254793231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11676678, s2 = 11162960, dlinesl.size( ) = 22 s1 = 10620569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10620569, s2 = 11476804, int(edited[s2]) = 0 s1 = 10620569, s2 = 11476804, d1 = 39, d2 = 47 Dl.O(d1) = 273731160 Dl.O(d2) = 155026989,263599041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10620569, s2 = 11476804, dlinesl.size( ) = 48 s1 = 10620578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10620578, s2 = 14887913, int(edited[s2]) = 0 s1 = 10620578, s2 = 14887913, d1 = 2, d2 = 1 Dl.O(d1) = 55205722,44355101,34977414 Dl.O(d2) = 34977413,39100544,49029524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10620578, s2 = 14887913, dlinesl.size( ) = 2 s1 = 10620578, s2 = 14887913, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10620578, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14000173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14000173, s2 = 11336676, int(edited[s2]) = 0 s1 = 14000173, s2 = 11336676, d1 = 9, d2 = 18 Dl.O(d1) = 24539840,268705243 Dl.O(d2) = 59423612,48031158,38117988,38117987,257511989,72162594,85757075,85757076,99711117,99711115,258745217,59423635,48031177,38118005,38118006,48031155,59423606,72162554,59423572,59423571,258745221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14000173, s2 = 11336676, dlinesl.size( ) = 8 s1 = 14000183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10621004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10621004, s2 = 11551320, int(edited[s2]) = 0 s1 = 10621004, s2 = 11551320, d1 = 0, d2 = 13 Dl.O(d1) = 202551712 Dl.O(d2) = 228868721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10621004, s2 = 11551320, dlinesl.size( ) = 20 s1 = 14120377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120377, s2 = 10621238, int(edited[s2]) = 0 s1 = 14120377, s2 = 10621238, d1 = 29, d2 = 2 Dl.O(d1) = 178016052,187261534,188730824 Dl.O(d2) = 178141290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120377, s2 = 10621238, dlinesl.size( ) = 18 s1 = 10621239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070773, s2 = 11389600, int(edited[s2]) = 0 s1 = 14070773, s2 = 11389600, d1 = 24, d2 = 27 Dl.O(d1) = 52480963,42126210,42126209,40264301,31577157,24071416,24071415,256540179,50285335,61764995,257670668,271401318,102154502,88163502,88163503,260737717,261309792,143458077,130126984,259526060,102154500,262358157,178070507,176407506,165745050,165745051,176407508,264227825 Dl.O(d2) = 173667767,162646299,162646298,162646299,261429998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070773, s2 = 11389600, dlinesl.size( ) = 8 s1 = 10621625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14122031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14122031, s2 = 11384524, int(edited[s2]) = 0 s1 = 14122031, s2 = 11384524, d1 = 19, d2 = 9 Dl.O(d1) = 184547328,265691509,229679473,231125976,274577944,266497437,237332533,236522166 Dl.O(d2) = 266021538,234899813,233853424,232704284,274116368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14122031, s2 = 11384524, dlinesl.size( ) = 2 s1 = 14122031, s2 = 11384524, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14122031, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 10622180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10622180, s2 = 11131636, int(edited[s2]) = 0 s1 = 10622180, s2 = 11131636, d1 = 49, d2 = 40 Dl.O(d1) = 58286347,58286349,58286422,46920540,37042537,28543483,21320133,21320131,28543479,37042531,46920531,58286406,71001626,71001627,58286439,58286440,58286164,46920308,46920307,58286161,71001359,84565278,84565334,71001405,58286200,46920335,46920336,58286181,58286471,46920582,37042575,37042560,37042561,46920569,58286454,71001710,84565660,71001745,71001744,73492122,73492121,87110890,84565729,71001751,71001739,71001738,84565525,84565277,71001659,58286414,58286416,71001665,71001604,58286382,46920516,37042519,37042520,46920519,58286387,71001617,71001622,71001621,58286443,58286442,71001650,71001649,84565289,71001579,58286367,58286368,71001583,84565322,84565313,71001394,71001380,71001381,84565307,98488353,98488690,84565635,71001690,71001689,84565632,84565654,98488710,84565705,84565704,98488783,98488796,101108997,112479915,112479917,126347377,126347362,112479894,98488336,84565608,84565607,84565563,84565561,98488601,84565559,71001597,58286376,58286375,71001593,84565555,98488593,98488636,84565623,84565622,98488675,98488661,98488663,112480209,98488578,84565541,84565542,98488583,98488872,98488873,98488362,98488361,112479922,112480479,126347386,112480342,98488686,84565626,84565624,98488682,112480338,112480468,112480470,126348011,139723717,139723852,126348018,126348019,126347380,115186647,115186648,112480239,112480240,112480804,126347751,112480235,112480234,112480307,112480229,112480230,126347743,126347795,112480278,112480274,112480275,126347808,112480321,112480323,112480366,126347821,126347820,126347729,112480206,98488919,84565803,71001804,58286526,58286525,71001797,84565790,98488896,112480609,112480352,112480354,126347892,139723610,139724026,126348176 Dl.O(d2) = 9956183,9956184,14470461,14470460,20168977,27063002,27063111,20169053,14470508,14470507,20169045,268550517,27062670,27062668,27062833,27062832,35148682,44525218,44525394,35148837,30805387,23377268,17107485,17107487,23377273,27062775,20168893,20168894,27062890,35148575,35148937,256854257,28543614,27062765,20168798,14470336,14470319,9956088,6543562,6543563,9956093,14470326,20168788,20168918,27062933,27063160,20169096,14470527,9956209,6543630,4099614,2452374,1417766,1417765,2452369,4099599,6543604,9956169,14470453,19514391,14470435,13968636,13968637,13968659,13968665,14470364,14470365,20168851,15349835,10603912,6996419,4396910,4396909,5177935,8081911,8081916,12021694,14470342,20168812,15349617,15349616,21320217,27062894,27062717,20168751,14470309,268176157,14470321,20168782,19156728,19156729,25803358,21320229,21320230,20169030,14470499,9956194,6543622,4099609,4099586,4099585,6543567,6543599,9956159,14470442,13968652,9591765,6296953,3944579,3944580,6296957,9591774,13968671,10603920,10603921,10603939,6996439,4396922,2634780,2634778,3159137,5177943,4099590,4099589,6135953,6135955,9367616,13679226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10622180, s2 = 11131636, dlinesl.size( ) = 20 s1 = 14044825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044825, s2 = 11439536, int(edited[s2]) = 0 s1 = 14044825, s2 = 11439536, d1 = 13, d2 = 16 Dl.O(d1) = 23543007,255509060,255665526,18558481,13187227,256042103,18869464,18869465,13447296,13447295,18866803,13443648,9192937,6018394,6018396,3766000,3765998,6020034,9195428,10538293,13446889,13446890,13447551,13446107,13446106,254922589,6019412,6019413,9194531,9194477,9194478,9194466,6019355,3765565,2256167,2256169,3765569,6019360,9194474,13444036,9193242,9193241,9193223,6018584,6018583,3765460,2256107,2256108,2256144,2256143,3765528,6019294,3766246,3766245,6019282,3765520,2256137,1309572,747559,747558,1309567,2256407,3766043,3765412,2256082,2256084,3765418,6019123,6019859,254922659,255665477,13443713,9192990,6018430,6018428,9192989,13443712,255381687,10474280,10474281,15184996,13447083,13447082,18870905,255665532,18866840,25467062,33214448,25467031,25467030,25471575,18871313,18871312,25404863,18815041,13403945,13403946,18815043,25404865,20065466,14381375,9887079,6496349,4070696,2435839,2435841,4070702,6496362,9887102,14381402,20065499,26950236,35030777,257306171,258526125,95120638,109374330,123565376,261550861,137297284 Dl.O(d2) = 262081319,162473218,162473211,162473210,150338756,262081317,162473217,150338765,137297288,137297289,261550863,162473218,162473211,162473210,150338756,262081317,162473217,162473214,150338762,137297287,261550861,150338764,150338761,137297273,123565361,123565360,261550857,150338754,137297267,123565356,109374318,109374319,123565359,137297269,137297282,123565369,109374326,95120637,81063074,259155429,109374329,123565357,109374318,109374319,123565359,137297269,137297282,123565369,260987721,150338761,137297273,123565361,123565360,137297271,137297279,123565367,109374324,109374323,123565366,261550859,261245396,123565364,109374322,95120635,81063073,67595343,259155427,109374319,123565359,137297269,137297282,123565369,109374326,109374327,123565370,272585976,150338763,263025073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044825, s2 = 11439536, dlinesl.size( ) = 14 s1 = 14000273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10622828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10622828, s2 = 11308618, int(edited[s2]) = 0 s1 = 10622828, s2 = 11308618, d1 = 7, d2 = 0 Dl.O(d1) = 199112547 Dl.O(d2) = 122976283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10622828, s2 = 11308618, dlinesl.size( ) = 14 s1 = 14000289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077149, s2 = 11167164, int(edited[s2]) = 0 s1 = 14077149, s2 = 11167164, d1 = 34, d2 = 29 Dl.O(d1) = 257026588,23976190,17628582,12449435,8417783,8417784,12449441,17628588,20242572,14525309,14525308,20242566,27153728,30776210,28920998,28920997,37460481,47365970,38280566,29713805,22358103,22358104,29713807,38280569,35252696,35252697,30776318,256481515 Dl.O(d2) = 51813764,41534555,32646913,32646914,41534556,256698240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077149, s2 = 11167164, dlinesl.size( ) = 20 s1 = 14155679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155679, s2 = 9463509, int(edited[s2]) = 0 s1 = 14155679, s2 = 9463509, d1 = 66, d2 = 105 Dl.O(d1) = 245401963 Dl.O(d2) = 256761039,55624222,68011793,81495409,84791619,84618460,84618458,71054155,58338186,46970251,46970250,37224813,28698986,21447108,15450400,10682518,10682519,15450402,21447110,28698991,37224820,47122505,257440284,81166085,67700409,55360530,44513995,35137062,256367592,9949306,6538998,4096886,2450950,2450949,4096883,5820787,8919550,254979053,6541447,6541446,9951316,9950652,6539826,6539825,9950649,255332787,27054438,256749487,255749711,14473432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155679, s2 = 9463509, dlinesl.size( ) = 2 s1 = 14155679, s2 = 9463509, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14155679, Dl.E( ) = 110, 3.81e-05 seconds used appending s1 = 14000335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10624110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10624560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10624560, s2 = 14042538, int(edited[s2]) = 0 s1 = 10624560, s2 = 14042538, d1 = 54, d2 = 8 Dl.O(d1) = 177432634,166888225,166888224 Dl.O(d2) = 87173031,73555298,60808899,49408620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10624560, s2 = 14042538, dlinesl.size( ) = 42 s1 = 10624888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117911, s2 = 11628714, int(edited[s2]) = 0 s1 = 14117911, s2 = 11628714, d1 = 0, d2 = 25 Dl.O(d1) = 172629875 Dl.O(d2) = 267358615,244974396,245141729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117911, s2 = 11628714, dlinesl.size( ) = 2 s1 = 14117911, s2 = 11628714, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14117911, Dl.E( ) = 54, 2.6e-05 seconds used appending s1 = 10625293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16293835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16293835, s2 = 11581584, int(edited[s2]) = 0 s1 = 16293835, s2 = 11581584, d1 = 23, d2 = 29 Dl.O(d1) = 3444528,3444529,4066680,4066676,272460067 Dl.O(d2) = 233440991,234522933,235508709,236408223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16293835, s2 = 11581584, dlinesl.size( ) = 28 s1 = 14193947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10626022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10626022, s2 = 2071905, int(edited[s2]) = 0 s1 = 10626022, s2 = 2071905, d1 = 17, d2 = 10 Dl.O(d1) = 183070068,191678739,183070057,173219157,162119270,149907425,260507400 Dl.O(d2) = 54645961,256307502,26640190,26640191,34630273,43902824,43902841,43902840,36948652,36948651,46826516,55626679,47536719,47536720,48301513,48301514,54600616,47833003,47832962,46826316,46826315,58192211,65166098,53181492,42732312,34630286,34630284,43902846,50057713,50057712,58192150,46826221,46826220,42732114,40039419,40039418,36948272,36948273,46826179,46826463,40038241,40038239,50057759,255728456,50021309,40002893,31325060,23834402,17495470,12335956,8333649,8333648,12335952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10626022, s2 = 2071905, dlinesl.size( ) = 14 s1 = 10626172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11677080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10626954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10627519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10628156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10628173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10628464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10628481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14140189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10628781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10628781, s2 = 11310762, int(edited[s2]) = 0 s1 = 10628781, s2 = 11310762, d1 = 16, d2 = 23 Dl.O(d1) = 257181770,10275192,254202740,28003891,268738376,22214555,29559967,38125473,48038699,59430799,72169323 Dl.O(d2) = 127600577,113731954,270025474,257829386,18301131,18301132,18197644,12907382,12907383,8930632,6223737,5718544,5718542,8780323,8780301,5718531,3559977,3559978,5718533,8780304,8780441,5718607,3560020,2121175,1223148,691181,386048,386047,691176,267776061,3559989,3896129,6223742,9490153,13835770,18305171,12993687,8846039,8780393,8780394,5765163,3590927,3590915,2140910,2140909,3590913,5765142,8846005,8846018,8846019,8780360,5718565,3559995,3559994,5718560,254891881,12907394,8780432,5718602,5718603,8780425,8780378,8780379,12907356,8780327,8780328,12907475,12993703,8846057,8846056,8843589,5763435,5763433,8843583,12990491,18301121,256574968,17962463,23665281,23665282,31152600,39835255,49858930,61342464,61342463,53058409,42610811,42610810,53058407,63126895,53058427,42610836,33587072,25791526,255280927,9362126,13671364,9362288,6132459,6132461,9362293,9362105,6132337,3836559,2298454,1333639,1333636,2298452,3836557,6132333,9362101,6132349,3836565,3836564,6132347,9362118,13671348,13672920,13672921,13554515,9279507,9279506,13554512,18994104,19001239,13560453,9284110,9284109,13560448,254662250,254302801,2285564,3815291,6097822,6106101,9321563,9326217,13619944,19077451,13654490,9350200,9350201,6124379,3831844,2295774,1332087,1332086,2295773,3831840,6124374,9350205,13654497,19124273,19149066,19077437,13619937,9326213,9326212,13619935,19077436,25703913,19124499,19124500,19124507,13654680,9350342,9350341,13654679,19124505,25703930,33477390,38224685,29658555,22306517,255902121,19124270,13654495,13654496,19124272,25763903,33553550,28750153,21490749,21490748,21490698,15485038,10708019,7074223,4453774,2675561,1549835,881123,497195,497196,881127,1549844,2675577,267883749,10708105,15485136,15485380,15485379,15485253,10708210,7074363,4453851,2675602,2675601,4453821,4453822,7074229,7074228,10708023,15485042,21490700,17309023,17309024,255338311,9991438,9991439,254768927,7409908,255080039,22214555,29559968,38125473,48038700,59430799,72169324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10628781, s2 = 11310762, dlinesl.size( ) = 8 s1 = 14086119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086119, s2 = 14079400, int(edited[s2]) = 0 s1 = 14086119, s2 = 14079400, d1 = 16, d2 = 21 Dl.O(d1) = 256739700,50122694,49435726,49435724,39504911,39504910,40102903,42099107,33144916,25404795,25404794,18815006,18815005,25404814,33144935,26663495,25404826,256124327 Dl.O(d2) = 52451956,64319507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086119, s2 = 14079400, dlinesl.size( ) = 24 s1 = 14130139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130139, s2 = 14099794, int(edited[s2]) = 0 s1 = 14130139, s2 = 14099794, d1 = 16, d2 = 14 Dl.O(d1) = 192024102,199382235,263788938,189608790,197296400,203854064,209327725,213817457,217501105,220573442,265326912,220573449,223186455,223186447,223186449,220573455,220573456,220573448,217501110,213817468,213817469,213817477,209327739,209327738,213817475,264915176,209327728,203854066,197296401,197296400,203854064,209327725,213817456,217501103,220573437,265472741,220573446,220573445,217501109 Dl.O(d2) = 203854069,264625233,209327732,213817459,213817460,274232111,265637903,227409146,225445152,265505636,220573444,220573443,223186449,220573455,220573456,220573448,220573447,223186445,273956128,272449162,119740406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130139, s2 = 14099794, dlinesl.size( ) = 2 s1 = 14130139, s2 = 14099794, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14130139, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 10630225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152923, s2 = 14085506, int(edited[s2]) = 0 s1 = 14152923, s2 = 14085506, d1 = 50, d2 = 48 Dl.O(d1) = 267081672,242892364,243200282,243489142,267245398,244238274,244452642,244652154,244559144,244351353,267285810,243626696,243347940,243050228,242733179,242392728,242025662,242025661,242392726,242733176 Dl.O(d2) = 274938288,243050226,274938290,242392727,242392726,242733177,267202877,243626693,243885940,244127139,274964104,274907357,238461019,266759315,237762751,266546126,235230497,274484254,225207457,225207456,265072054,264328442,211545864,206559363,200524489,193376828,185047585,175509027,164757704,260217320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152923, s2 = 14085506, dlinesl.size( ) = 34 s1 = 14085505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14085505, s2 = 14152924, int(edited[s2]) = 0 s1 = 14085505, s2 = 14152924, d1 = 34, d2 = 40 Dl.O(d1) = 260217321 Dl.O(d2) = 267081673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14085505, s2 = 14152924, dlinesl.size( ) = 80 s1 = 14138939, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10630833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10631544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10631678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080617, s2 = 11044420, int(edited[s2]) = 0 s1 = 14080617, s2 = 11044420, d1 = 16, d2 = 9 Dl.O(d1) = 257027406,20837384,20837385,28002194,255366232,268064050,255367312,59994276,72731659,86329388,100291734,258632766,86433993,72839540,60102925,60102926,72839541,86433994,100389412,114412479,261213821,154294294 Dl.O(d2) = 260216265,76089744,63088919,270832656,32383674,24763314,18286343,18286342,18046952,12793318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080617, s2 = 11044420, dlinesl.size( ) = 24 s1 = 10631912, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10631912, s2 = 11231124, int(edited[s2]) = 0 s1 = 10631912, s2 = 11231124, d1 = 25, d2 = 26 Dl.O(d1) = 263982495,155924582,143383021,130051766,116142713,116142714,130051759 Dl.O(d2) = 77794598,64611880,52711523,42324419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10631912, s2 = 11231124, dlinesl.size( ) = 20 s1 = 10632110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10632110, s2 = 11070932, int(edited[s2]) = 0 s1 = 10632110, s2 = 11070932, d1 = 0, d2 = 3 Dl.O(d1) = 627138 Dl.O(d2) = 1956795,1956796,254404447,8388663,12411803,17584529,23925990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10632110, s2 = 11070932, dlinesl.size( ) = 12 s1 = 14000681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14000681, s2 = 11002340, int(edited[s2]) = 0 s1 = 14000681, s2 = 11002340, d1 = 20, d2 = 14 Dl.O(d1) = 41141333,32326837,24711532,24711530,23418201,254468614 Dl.O(d2) = 37985577,29423314,29423315,22156572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14000681, s2 = 11002340, dlinesl.size( ) = 30 s1 = 10632374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10632374, s2 = 14000685, int(edited[s2]) = 0 s1 = 10632374, s2 = 14000685, d1 = 19, d2 = 0 Dl.O(d1) = 74417540,61636983,50154181,40132401,40132402,50154177,50154176,50154182,50154177,40132399,40132400,31452150,23958947,18440862,13099332,8927331,8927332,13099335,12430110,12430111,17609315,12430123,8401088,8401087,12430119,17609850,17614145,17609492,15978769,11092424,7356461,4646990,4646991,7356465,11092433,12430535,16006134,16006158,22119766,22084987,17609804,17609805,17609660,12429982,8401010,5421193,3332631,1960043,1119741,628330,628331,1119746,1960053,3332646,5421218,8401048,8927399,5826646,3635524,2172140,1257780,1257779,2172133,3635512,5826629,5421119,5421120,8400895,12429781,17609323,18441041,13099425,13099426,18441044,18440787,18440786,22084966,15978755,11092410,7356452,7356447,8401329,5421394,3332749,1960112,1960111,3332746,5421388,8401322,12430531,17610503,23958059,31449461,31450018,23957277,17609984,12430209,8401130,5421265,5421264,8401123,12430195,17609963,23957257,31450000,40129844,32625387,24957705,18440567,13099143,13099142,18440560,24957687,18440934,18440937,23960446,17612087,17612088,23960451,31454240,40135184,40131011,31451015,31451012,31460959,23965250,23965248,31460954,40144245,40133506,31452919,23959502,256024621,40133504,50155799,50151349,40129853,31450011,23957266,23957265,31450006,40129810,50151311,50151333,61633672,257077941,31457308,23962619,17613434,17613433,23962617,31457305,40139378,50162780,256608408,31460981,23965262,17615303,17615302,23965260,31449006,23956517,17609412,17609413,23956522,23956744,31449293,32948784,32948783,41883132,41883140,41883139,50148433,49816932,39796144,31115498,23628866,23628868,31115502,39796150,49816937,40133324,31452779,31452777,40133319,50155575,61639013,61646778,50162785,50162786,59291190,61633109,74412999,67758163,55418157,44571051,44571052,55418160,50150227,50150226,50155437,41509157,32625592,24957830,24957831,23965254,23965252,31460965,40144250,37135466,37135467,47023736,40129017,40129016,50150514,61632989,74412927,64052655,64052654,74364551,61588174,50108252,46871142,36992456,31457957,23963156,17613812,17613811,23963152,31452782,23959388,23959389,31452784,40133331,31455670,31455671,23965201,23965202,31460902,40134742,31453919,31453581,31453580,35193024,35193025,44571059,256620483,32821980,41742995,51784435,41509154,40144253,40144256,50169219,58395786,47023746,37135473,37135472,38000010,38000011,47915991,53264218,53264219,61653994,52459242,52459244,64326866,74428582,61646671,58238782,46871136,46871138,40140142,31457940,31457939,31460280,31407620,23917015,17574866,17574865,23917013,31407613,40087725,42811038,53264215,53264208,53264206,44571071,35193038,27104016,20204004,14497448,14497449,20204010,27104029,31456136,31456139,40137732,50160730,50160708,50160709,50162816,40139410,31457335,31457336,40139414,42811286,42811287,40136053,31454826,23960846,23960844,31454816,40136035,31457208,23962570,23962569,31457203,31457483,31457484,26287313,26287314,34155427,41509297,50157190,50108260,50108258,40125945,40125942,50108225,40087706,40087708,40137560,40137559,50147622,50157742,50157743,256465640,40125957,31446326,23954228,17607746,17607745,23954226,31446209,31446210,31445932,23953970,23953969,31445927,40125449,40127517,40126311,40126312,40126291,31451235,31451234,40131306,42811293,40130177,31450293,23957494,23957495,23957504,31450303,40130190,40125506,40125509,50146711,61628730,74407532,64324732,52457792,52457791,61628696,50147007,40125780,40125781,50147008,50146309,40125098,31445574,31445573,31445630,23954434,17607850,17607849,268442779,31446243,31446242,23958235,17610623,17610622,23958230,31451251,31453165,23959682,17611602,17611603,23959685,268443081,31450300,23957501,17610162,12430320,12430321,17610165,17611643,12431226,12431224,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,1119860,1960152,3332805,5421489,8401509,12430879,17611122,23958942,31452143,256530137,50154178,61636980,61636985,61636984 Dl.O(d2) = 48876655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10632374, s2 = 14000685, dlinesl.size( ) = 12 s1 = 14137641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14137641, s2 = 12445109, int(edited[s2]) = 0 s1 = 14137641, s2 = 12445109, d1 = 33, d2 = 35 Dl.O(d1) = 264000934,262851044,146074557,263321281,273779235,213506995,217254913,264834258 Dl.O(d2) = 227295712,229030551,227600511,227600510,227295709,227295705,227295704,227295711,225309854,264834252,264834250,225309852,227295708,227295694,225309843,223024890,274227951,203361639,196716298,263274238,208931109,213506993,264000932,203361639,196716298,262382882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14137641, s2 = 12445109, dlinesl.size( ) = 48 s1 = 10632675, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10633304, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10633304, s2 = 6291927, int(edited[s2]) = 0 s1 = 10633304, s2 = 6291927, d1 = 2, d2 = 46 Dl.O(d1) = 200928657 Dl.O(d2) = 274924869,267276227,244266976,244479421,244677969,244863279,245037823,245201390,245354600,245354580,245201374,245037811,245037808,245201370,267437815,245498719,245634411,267468097,245634416,267482145,245688767,245557563,245417545,267411724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10633304, s2 = 6291927, dlinesl.size( ) = 22 s1 = 10633921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10633921, s2 = 11065388, int(edited[s2]) = 0 s1 = 10633921, s2 = 11065388, d1 = 28, d2 = 26 Dl.O(d1) = 128656266,271977404,259633994,100709037 Dl.O(d2) = 255244866,16815512,11758628,11757917,11757916,7851838,4983776,4983774,3010431,3010432,4983844,7851953,11760260,16817476,23066462,23073231,30485326,39079478,49006236,60407740,65164444,65164445,58019983,46646761,36760951,31162656,31162655,30563890,30563888,39161322,49091007 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 4 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10634481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142597, s2 = 11421698, int(edited[s2]) = 0 s1 = 14142597, s2 = 11421698, d1 = 21, d2 = 15 Dl.O(d1) = 226536720,224438441,222022989,222022991 Dl.O(d2) = 262713449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142597, s2 = 11421698, dlinesl.size( ) = 20 s1 = 10635461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10635679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025995, s2 = 1351941, int(edited[s2]) = 0 s1 = 14025995, s2 = 1351941, d1 = 0, d2 = 7 Dl.O(d1) = 6432292 Dl.O(d2) = 33996111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025995, s2 = 1351941, dlinesl.size( ) = 18 s1 = 10636214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10636214, s2 = 11325592, int(edited[s2]) = 0 s1 = 10636214, s2 = 11325592, d1 = 16, d2 = 15 Dl.O(d1) = 25941278,25941279,29888355,22534184,22534185,29888356 Dl.O(d2) = 272480834,262106362,185433136,175949563,175949564,175949570,165247136,153447577,153447578,165247137,260433362,165247137,175949572,175949562,175949561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10636214, s2 = 11325592, dlinesl.size( ) = 2 s1 = 10636214, s2 = 11325592, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10636214, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 10636305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10636305, s2 = 10636324, int(edited[s2]) = 0 s1 = 10636305, s2 = 10636324, d1 = 31, d2 = 29 Dl.O(d1) = 46525942,36658323,36658324,46525945,49064714,60468170,73215007,73214966,73214965,70676543,70676537,70584905,57883604,46527729,36660312,28183797,28183796,28382432,36878724,46757409,57883867,46528039,36660592,36660591,46528035,57883865,70585095,70509868,57808696,46452681,39134688,36660574,28184003,28184006,36660579,36586771,28114109,20937165,15028972,15028973,20937170,28114115,36586776,46452701,57808708,70509879,57882120,46525949,36658328,28181826,28181827,36658336,46525956,57882125,70583595,70583594,70676549,57957774,46581318,36694901,28204481,28204480,28185367,28185369,21164906,21164907,28382439,36878729,46528047,36660596,28184013,28184012,36660594,46528020,46528019,57883847,70585076,57883859,46528030,36660586,28184009,28184008,36660582,36662590,36662131,28185364,28185363,36660598,256827111,57883872,70585102,70583586,57882116,46525947,46525946,57882114,57884966,46529350,46529349,57884962,70585969,70676534,57957770,255374022,36694896,36662036 Dl.O(d2) = 72970649,60789374,49388613,49388614,60789376,73536532,84122917,84122918,97998317,84122907,70586415,70586414,84122904,84122519,70585978,70585977,255809268,46579201,36692814,28202664,21010941,21010940,28202661,36692811,46579198,57955763,70674675,84228204,98123637,112084079,258016762,70675201,57956351,255800854,28203550,28203551,36693676,36655175,256288790,46579950,57877992,70578857,84115131,70675205,256288788,268908895,39134606,39134607,49064729,60468184,258819987,100809500,100809530,100809535,86828166,86828167,260060859,271830299,100809508,86828118,73215032,60468187,49064732,49064733,57884663,57884662,49064723,49064722,60468174,73215014,74510084,74510085,86828160,73215106,60468288,257588750,60468125,49064655,49064656,60468120,49064651,39134530,30535783,30535784,39134533,49064653,60468123,73214992,259444219,114861084,100809539,86828170,73215140,60468353,60468352,270351173,84121800,84121801,70584993,57883722,57883721,49064741,39134613,30535838,23117112,23117111,30535834,257008053,60468177,73215017,86828109,100809498,100809524,86828153,73215102,73215103,70675214,57956360,57956361,50249964,50249963,57956358,49064810,39134668,39134667,49064808,49064814,46525964,46525963,57882135,70583605,74510089,88121957,74510075,74510072,61728579,50249952,50249953,60468349,60468350,73215134,60468347,258016761,57883689,70584964,84121805,73215011,60468172,49064720,39134599,30535831,30535832,39134602,256826418,57956055,70674949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10636305, s2 = 10636324, dlinesl.size( ) = 26 s1 = 10636325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10636325, s2 = 10636306, int(edited[s2]) = 0 s1 = 10636325, s2 = 10636306, d1 = 18, d2 = 6 Dl.O(d1) = 46518605,36651638,256826419,36651640,39134702,39134701,46527932,36660487,36660488,46527936,57883791,70585043,70584959,258016760,57885025,57883694,46527828,36660409,28183869,28183868,36660408,46527825,46527831,57883698,46527918,46527917,57883774,57956363,57956364,57883641,57883637,46527757,46527758,36660428,36660421,28183881,28183882,36660426,46525961,57882130,60468192,60468191,73215035,84121808,84111369,70575042,57874126,46518603,257008052,39134704,30535915,30535916,39134708,49064854,57883788,57883786,60468179,73215022,70584955,70584954,270351172,57885027,57885028,70586000,84122530,97997924,111937186,259444218,84121830,73215083,60468269,49064838,39134690,39134689,49064835,60468267,73215080,60468272,60468271,73215038,257588751,49064736,60468195,57883707,46527851,46527850,57883704,70584972,60468277,60468278,73215091,73215100,60468285,60468284,73215097,86828150,100809523,114861104,271830298,260060858,84122527,84122526,97997920,97997913,97997914,258819986,73215094,60468281,49064849,46527868,268908894,256288789,46527865,57883719,46527929,36660484,28183935,256288791,28183905,21000987,15085044,15085043,255800855,36660438,46527859,258016763,70586026,70585994,57885004,46529389,36661977,36661978,36662384,28185630,21002398,21002399,28185633,28329567,21118904,255809269,36825137,46529369,36661945,28185199,21002032,21002033,28185202,36661947,28185316,28185315,36662074,36661933,28185190,28185189,36661931,28185355 Dl.O(d2) = 6859341,10405534,15085997,21002117,21002124,21002123,28185341,36662024,36662023,257406581,57885024,46529415,46529414,257406591,36662153,28185380,21002142,20997092,15082276,255374023,28179155,36655182,46522400,36661956,28185219,21002043,21002041,28185213,21002366,21002367,28185589,36662353,36662373,46529467,256827110,21002092,15085979,10405527,6859334,6859333,10405525,15085974,21002082,28185293,36662027,46529438,46529756,36662370,36662021,36661996,28185261,21002066,21002067,28185263,36662000,28201451,21009941,15089761,15089760,20997097,15082281,10402957,10402958,15082286,20997098,28179161,36655196,28185593,28185594,21002372,15086245,10405742,10405741,15086236,10405735,10405734,15086232,21002365,28185585,36662351,36691452,28201453,22720800,16515845,16515844,22720796,30102485,38679826,36660511,28183965,28183962,30535781,30535782,39134526,49064649,46529423,36662007,28185278,21002072,15085971,15085972,21002077,28185285,36660398,28183857,21000931,21000930,28183853,36660396,46527814,46522412,36655188,36655186,36655193,36662342,28185608,21002380,15086254,10405747,6859496,6859497,10405752,15086228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10636325, s2 = 10636306, dlinesl.size( ) = 20 s1 = 10636344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10636344, s2 = 10988234, int(edited[s2]) = 0 s1 = 10636344, s2 = 10988234, d1 = 12, d2 = 35 Dl.O(d1) = 31095311 Dl.O(d2) = 255160427,12176996,255548389,255582931,17772638,17298703,17298704,23611510,24136581,17772633,12577509,8530763,254869317,17772635,256544223,36443974,40332031,40332030,40332033,31643294,31643293,255357940,46297300,36443971,27984620,20820021,14922479,14922480,20820024,19803349,19803351,26611291,34586111,43856937,37380891,28841057,28841056,29266307,21944319,20819918,14922405,10261182,6742897,4225250,4225249,6742895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10636344, s2 = 10988234, dlinesl.size( ) = 18 s1 = 10636408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10636408, s2 = 4414909, int(edited[s2]) = 0 s1 = 10636408, s2 = 4414909, d1 = 26, d2 = 25 Dl.O(d1) = 30446172,30446171,38075547,29511204,29511205,37241597,37241598,38075541,254524704,29510987,30446183,39035644,47546348,255077298,29089667,21791727,15733348,10896659,10896660,15733351,15733355,15733354,255077304,29735471,29315309,254766786,15890771,255453051,11141875,11141874,16046506,22170155,29511208,28710856,21455798,15456750,15456751,21455800,28710858,37241623,256302858,21987101,15890766,15456734,255405259,28710830,29735444,29735428,256386344,16221608,16221609,22377747,29735473,37242098,37241561,28710779,21455734,15456708,10687140,10687139,15456677,10687118,10687119,15456679,21455693,28710746,22377728,22377727,17559567,15277978,15258570,10527242,6942899,6942896,10527233,10526439,9252507,9252506,13508394,12251539,12251540,15475670,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325880,2271615,1317431,751669,751673,1317446,2271650,3792343,6061239,9254859,9263070,6067043,3796009,2273763,2273765,3796018,6060909,6060907,9254306,10699391,7265667,4581955,2756667,2756666,4581948,6062736,4366396,4366398,6062666,6063987,6948729,10536662,11275352,13518746,12798741,12052269,12052270,13511731,12060018,8108732,8108733,12060023,14449977,15304635,15257825,12068009,8114994,5198905,5198906,6960377,10553368,8114530,6065794,6065793,9261299,10573605,9263572,6067476,3796281,2273920,2273919,2271130,2271131,3791263,6059287 Dl.O(d2) = 16037012,11135206,7385882,7385881,11135205,16037010,11135210,11135209,16037019,18574501,18574500,18575573,18575571,25128035,32832968,33219111,33219109,41753854,32832950,32324107,24709299,18237834,12936697,8801023,5732914,5732916,8801027,12936703,18237840,24709309,32324112,31675702,24166205,24166204,31675701,29496859,28596853,28596854,33160006,254185254,254105788,14897039,10243350,10243352,12344983,12345005,8340293,8340292,254075404,23849862,25419716,29511050,29511049,35180506,254401676,255173084,268439978,123712554,137441979,150479091,162604598,173631501,259502490,191981657,199344186,205573428,205573427,210725628,214934708,218397197,221306316,219825781,216586383,212678809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10636408, s2 = 4414909, dlinesl.size( ) = 2 s1 = 10636408, s2 = 4414909, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10636408, Dl.E( ) = 28, 1.5e-05 seconds used appending s1 = 14000857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088831, s2 = 11263508, int(edited[s2]) = 0 s1 = 14088831, s2 = 11263508, d1 = 9, d2 = 6 Dl.O(d1) = 269786117,37314430,44402625,44402624,49135263,49135262,59233969,71971559,77262772,77262773,64115770,52266804,41928090,256112117,25264245,32987666,41928095,257770723 Dl.O(d2) = 32987663,25264244,25264243,32987662,41928080,48497542,47332339,37423977,37423978,47332344,47332421,37424039,37424038,47332419,38165682,255897477,11191520,254527397,2827385,1640439,1640440,2827390,4692451,7425744,255082365,16109825,11190008,7424687,4691765,4691764,7424686,4692432,4692434,7425713,11189942,11189941,268942412,31797751,31797753,255631830,13066741,13066742,15307187,10570887,10570888,15307189,21268658,256310669,38163215,38163216,38163256,38163257,39435425,38164906,256393671,22247697,16110161,16110159,22247687,29596687,38163253,44731541,44731542,55629519,48319450,256480208,48319447,48319446,257501244,86040227,270834448,127909472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088831, s2 = 11263508, dlinesl.size( ) = 2 s1 = 14088831, s2 = 11263508, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14088831, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10639135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14028037, s2 = 11417634, int(edited[s2]) = 0 s1 = 14028037, s2 = 11417634, d1 = 9, d2 = 0 Dl.O(d1) = 8129434,6778033,6778032,5954188,5954186,4228617,3723548,3723547,4248512,2539963,2539962,4248509,3711259,3711258,5935471,9076003,13293957,18687307,25258842,32982121,41922359,52260570,64109330,77255911 Dl.O(d2) = 105395847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14028037, s2 = 11417634, dlinesl.size( ) = 2 s1 = 14028037, s2 = 11417634, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14028037, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10639826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10639826, s2 = 11102944, int(edited[s2]) = 0 s1 = 10639826, s2 = 11102944, d1 = 10, d2 = 12 Dl.O(d1) = 259629494 Dl.O(d2) = 257171846,37340891,32447629,24812508,18323331,13006774,13006775,18323332,24812509,32447631,30840945,23411192,255149223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10639826, s2 = 11102944, dlinesl.size( ) = 14 s1 = 14055263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055263, s2 = 11356432, int(edited[s2]) = 0 s1 = 14055263, s2 = 11356432, d1 = 4, d2 = 1 Dl.O(d1) = 257255255,65671905,79023365 Dl.O(d2) = 107545198,121917926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055263, s2 = 11356432, dlinesl.size( ) = 2 s1 = 14055263, s2 = 11356432, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14055263, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 11677844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10640905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10640909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11677906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10641986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10641972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10643432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152973, s2 = 12346266, int(edited[s2]) = 0 s1 = 14152973, s2 = 12346266, d1 = 35, d2 = 12 Dl.O(d1) = 241875398,267159103,243240653,243526105,267276049,267191323,242255691,241875429,241463170,241019216,240539615,274863161,267087225,241463141,241875393,267124351,267191307,243526098,243240679,267159115,267124353,242255661,267159107,243240659,274952819,274943991,267191311,242607664,242607663,267191309,242935240,242607690,242607689,242935238,243240667,243526112,267276047,242935218,242607666,242607667,267191313,243526100,243240673,242935248,242935249,243240675,242935250,242607698,267087231,241875426,241875407,241463150,241463149,267087227,242607679,274976242,243791178,244037129,244265730,244478215,274989326,267221561,267159101,267159099,267046879,241019212,241463167,241875421,242255680,242607692,267191317,267191319,242607699,267159113,242935254,267191321,243240657,242935226,242607677,267191315,242607694,242255683,267124355,242935243,267221567,242935247,242935246,242935245,242607694,242255683,267124355,242935244,242935222,242607671,242255645,274924786,240022851,266907979,241019188,241463141,241875393,267124351,267191307,243526098,243240679,267159115,267124353 Dl.O(d2) = 267221565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152973, s2 = 12346266, dlinesl.size( ) = 2 s1 = 14152973, s2 = 12346266, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14152973, Dl.E( ) = 36, 2.1e-05 seconds used appending s1 = 10644150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10644150, s2 = 12878065, int(edited[s2]) = 0 s1 = 10644150, s2 = 12878065, d1 = 1, d2 = 1 Dl.O(d1) = 13274506,13274507,14968280,14968279,12658988,8594794,5584505,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,3716896,2225711,2225713,3716901,5944069,5586343,3465804,3465803,3512333,5649613,8682181,12773031,18021331,24434920,31990178,40739031,50844915,62428655,75328316,89057189,103127661,100341682,86384301,86384300,100341681,114366498,259072566,86384302,86384303,100341684,114366499,259072566,86384302,72788264,60049496,256677518,38731991,30150257,25525525,18916146,13485257,13485256,18916144,25525524,26117119,26117121,33954038,40350966,40350963,256677516,72788262,86384299,270555786,114366496,128244156 Dl.O(d2) = 13274506,13274507,14968280,14968279,12658988,8594794,5584505,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,3716896,2225711,2225713,3716901,5944069,5586343,3465804,3465803,3512333,5649613,8682181,12773031,18021331,24434920,31990178,40739031,50844915,62428655,75328316,89057189,103127661,100341682,86384301,86384300,100341681,114366498,259072566,86384302,86384303,100341684,114366499,259072566,86384302,72788264,60049496,256677518,38731991,30150257,25525525,18916146,13485257,13485256,18916144,25525524,26117119,26117121,33954038,40350966,40350963,256677516,72788262,86384299,270555786,114366496,128244156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10644150, s2 = 12878065, dlinesl.size( ) = 2 s1 = 10644150, s2 = 12878065, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10644150, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14106213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106213, s2 = 11170824, int(edited[s2]) = 0 s1 = 14106213, s2 = 11170824, d1 = 62, d2 = 2 Dl.O(d1) = 139881053,262173771,263497937,200317662,206373782,211382695,215476662,218859144,274172020,265340210,227873927,225992973,264694178,218444249,214986393,264139112,210781940,264139110,218444267,264431652 Dl.O(d2) = 109826664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106213, s2 = 11170824, dlinesl.size( ) = 40 s1 = 14029111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14029111, s2 = 11051924, int(edited[s2]) = 0 s1 = 14029111, s2 = 11051924, d1 = 48, d2 = 47 Dl.O(d1) = 257177765,64061005,77202186,91119366,260848403,259008361,271525783,263593910,127639887 Dl.O(d2) = 263148741,165435466,153654778,140988204,260666186,113771832,127639883,140988202,153654777,262711251,153654775,140988198,127639881,113771831,113771830,127639879,140988195,153654773,140988203,260666186,259450378,85803792,99757786,113771835,127639887,140988210,153654786,165435472,176117570,176117573,165435475,153654789,140988211,261717283,127639880,113771831,99757785,258826188,59471785,59471786,52046569,52046568,63866004,73488423,63866001,52046566,41731735,41731736,39439362,39439361,37352567,29285177,29285175,37853340,47776536,41731766,34658179,26666292,26666291,34658177,42210631,33248724,25497871,18892509,18892508,25108724,25108725,32811238,41731738,256764208,48500262,48500263,54641134,43897946,43897945,54641132,63817028,52001493,52001494,63817027,63817026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14029111, s2 = 11051924, dlinesl.size( ) = 34 s1 = 10644794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10644809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14001293, s2 = 14073654, int(edited[s2]) = 0 s1 = 14001293, s2 = 14073654, d1 = 19, d2 = 11 Dl.O(d1) = 98551299,84627284,71063626,71063627,71063618,58347167,257436996,37094437,46977766,58347165,71063616,259917913,126415161,112545423,112545422,120974470,261471873,262168692,139788873,152507050,139788870,126415169,112545412,98551300,259298198,58347168,46977767 Dl.O(d2) = 28588115,21357147,255398802,10628093,15379794,21357149,22900827,22900828,25442667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14001293, s2 = 14073654, dlinesl.size( ) = 12 s1 = 10645557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10646192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14001385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16333365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16333365, s2 = 15047886, int(edited[s2]) = 0 s1 = 16333365, s2 = 15047886, d1 = 14, d2 = 6 Dl.O(d1) = 246389418,246302051 Dl.O(d2) = 267509052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16333365, s2 = 15047886, dlinesl.size( ) = 14 s1 = 15047885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15047885, s2 = 16333366, int(edited[s2]) = 0 s1 = 15047885, s2 = 16333366, d1 = 7, d2 = 15 Dl.O(d1) = 267509053 Dl.O(d2) = 246388647,246471113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15047885, s2 = 16333366, dlinesl.size( ) = 14 s1 = 10647682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10648513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127585, s2 = 11298322, int(edited[s2]) = 0 s1 = 14127585, s2 = 11298322, d1 = 24, d2 = 43 Dl.O(d1) = 263245372,112412767,112412766,262181861,175317892,184870417,193212444 Dl.O(d2) = 191075680,262986189,263568752,258787362,9521913,267865757,3909519,3587599,2138711,2138709,2317479,1343867,1343865,1344214,1344216,1344235,1344237,2318581,2341502,2341357,2341359,2342699,2342701,3913184,3954590,3948462,3948465,3743893,3743895,2364463,2364465,3948643,6301610,8756516,8756518,9127414,9127417,13355858,12721183,12721179,13377607,9143410,9143413,6248217,6248219,3989924,3989922,6301967,9597747,268037797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127585, s2 = 11298322, dlinesl.size( ) = 46 s1 = 14091269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091269, s2 = 11534042, int(edited[s2]) = 0 s1 = 14091269, s2 = 11534042, d1 = 0, d2 = 25 Dl.O(d1) = 87780360,101753861 Dl.O(d2) = 260708425,143031055,155581529,262804431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091269, s2 = 11534042, dlinesl.size( ) = 28 s1 = 10648771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103907, s2 = 11661157, int(edited[s2]) = 0 s1 = 14103907, s2 = 11661157, d1 = 35, d2 = 10 Dl.O(d1) = 132039318,145277237,157689592 Dl.O(d2) = 240149235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103907, s2 = 11661157, dlinesl.size( ) = 2 s1 = 14103907, s2 = 11661157, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14103907, Dl.E( ) = 48, 2.1e-05 seconds used appending s1 = 10649090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10649362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10649362, s2 = 10649392, int(edited[s2]) = 0 s1 = 10649362, s2 = 10649392, d1 = 22, d2 = 36 Dl.O(d1) = 71373522 Dl.O(d2) = 28795388,21530187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10649362, s2 = 10649392, dlinesl.size( ) = 38 s1 = 10650008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10650008, s2 = 11630808, int(edited[s2]) = 0 s1 = 10650008, s2 = 11630808, d1 = 16, d2 = 8 Dl.O(d1) = 267319477 Dl.O(d2) = 245495690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10650008, s2 = 11630808, dlinesl.size( ) = 2 s1 = 10650008, s2 = 11630808, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10650008, Dl.E( ) = 28, 1.69e-05 seconds used appending s1 = 10650049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10650335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10650516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11678432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10651259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10651259, s2 = 11541546, int(edited[s2]) = 0 s1 = 10651259, s2 = 11541546, d1 = 17, d2 = 20 Dl.O(d1) = 266828842 Dl.O(d2) = 266528454,230199257,228622483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10651259, s2 = 11541546, dlinesl.size( ) = 24 s1 = 10651518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10652005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10652005, s2 = 11048286, int(edited[s2]) = 0 s1 = 10652005, s2 = 11048286, d1 = 3, d2 = 5 Dl.O(d1) = 12631937,12631936,17838267,24208202,31715905,40408062,40408060,44779126,268967791 Dl.O(d2) = 30538228,256763935,35354397,44779129,46899375,48590744,44520989,35144657,35144658,257315641,52765999,258065512,28344705,28344704,36841631,46724312,256874746,46724322,36841642,36841643,46724253,256299121,15182833,15182832,255810149,21132074,15182839,10472678,6905216,255017493,21132051,15182820,15182819,21132048,15182862,15182861,21132102,16554703,11538778,11538777,16554699,22768749,30157075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10652005, s2 = 11048286, dlinesl.size( ) = 6 s1 = 14063371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063371, s2 = 10652084, int(edited[s2]) = 0 s1 = 14063371, s2 = 10652084, d1 = 48, d2 = 44 Dl.O(d1) = 53482126,43004826,33948661 Dl.O(d2) = 273221470,170533771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063371, s2 = 10652084, dlinesl.size( ) = 44 s1 = 10652085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10652107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10652107, s2 = 11060910, int(edited[s2]) = 0 s1 = 10652107, s2 = 11060910, d1 = 16, d2 = 1 Dl.O(d1) = 167319030,176612793,176612792,260629964,165968844,165968846,154211724 Dl.O(d2) = 72720318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10652107, s2 = 11060910, dlinesl.size( ) = 18 s1 = 14855401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14148177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14148177, s2 = 11578556, int(edited[s2]) = 0 s1 = 14148177, s2 = 11578556, d1 = 26, d2 = 31 Dl.O(d1) = 266185916,233367552 Dl.O(d2) = 236348522,236348521,236021870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14148177, s2 = 11578556, dlinesl.size( ) = 38 s1 = 10652967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14102321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10654450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10654630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14216391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14216391, s2 = 4290737, int(edited[s2]) = 0 s1 = 14216391, s2 = 4290737, d1 = 36, d2 = 31 Dl.O(d1) = 267547773,246528793 Dl.O(d2) = 264679560,215771898,263792736,200788286,200788285,200788284,200788277,193690213,193690214,193690223,193690225,200788284,200788277,200788276,273672880,200788280,273050626,175923311,175923310,185411208,193690214,193690223,193690225,200788284,200788277,200788276,273672880,200788280,273050626,175923311,165216623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14216391, s2 = 4290737, dlinesl.size( ) = 2 s1 = 14216391, s2 = 4290737, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14216391, Dl.E( ) = 38, 2e-05 seconds used appending s1 = 14075487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14075487, s2 = 11460344, int(edited[s2]) = 0 s1 = 14075487, s2 = 11460344, d1 = 27, d2 = 24 Dl.O(d1) = 72635401,86237981,271348223 Dl.O(d2) = 262738501,185987749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14075487, s2 = 11460344, dlinesl.size( ) = 28 s1 = 14001851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10655294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15273441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15273441, s2 = 14001878, int(edited[s2]) = 0 s1 = 15273441, s2 = 14001878, d1 = 31, d2 = 0 Dl.O(d1) = 267258094,240423570 Dl.O(d2) = 238034848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15273441, s2 = 14001878, dlinesl.size( ) = 40 s1 = 10655734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10655734, s2 = 7658868, int(edited[s2]) = 0 s1 = 10655734, s2 = 7658868, d1 = 19, d2 = 26 Dl.O(d1) = 204041498 Dl.O(d2) = 271354346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10655734, s2 = 7658868, dlinesl.size( ) = 14 s1 = 14001911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10656263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10656469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10656552, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10656552, s2 = 10656581, int(edited[s2]) = 0 s1 = 10656552, s2 = 10656581, d1 = 0, d2 = 23 Dl.O(d1) = 222717742 Dl.O(d2) = 236948020,266689395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10656552, s2 = 10656581, dlinesl.size( ) = 24 s1 = 10656580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10657104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10657104, s2 = 10657052, int(edited[s2]) = 0 s1 = 10657104, s2 = 10657052, d1 = 37, d2 = 31 Dl.O(d1) = 275030517 Dl.O(d2) = 267555021 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10657090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10657090, s2 = 10657103, int(edited[s2]) = 0 s1 = 10657090, s2 = 10657103, d1 = 51, d2 = 59 Dl.O(d1) = 267555020 Dl.O(d2) = 275030516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10658887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10658887, s2 = 11647692, int(edited[s2]) = 0 s1 = 10658887, s2 = 11647692, d1 = 22, d2 = 29 Dl.O(d1) = 186063707 Dl.O(d2) = 256961969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10658887, s2 = 11647692, dlinesl.size( ) = 36 s1 = 10659219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10659219, s2 = 14193966, int(edited[s2]) = 0 s1 = 10659219, s2 = 14193966, d1 = 3, d2 = 8 Dl.O(d1) = 237646460 Dl.O(d2) = 236013869,235073224,235073221,235073220,234039167,265793914,236013873,236869035,236013872,235073226,266058384,236013869,235073224,234039163,232904416,231651416,265097628,228688743,226906721,224861646,224861645,224861644,222505029,219759952,216508163,212587327,207790274,201971713,195054658,186970929,177692556,167196567,155566611,143018616,129690215,115792789,101747313,87774514,74170141,61389628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10659219, s2 = 14193966, dlinesl.size( ) = 12 s1 = 14032187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14032187, s2 = 11389486, int(edited[s2]) = 0 s1 = 14032187, s2 = 11389486, d1 = 6, d2 = 6 Dl.O(d1) = 23135192,23135193,23135266,16874788,11805191,7885002,5007594,3027720,3027719,5007588,5007432,5007430,7884662,7884688,7884689,11804947,16874633,23135169,23122947,23122948,30541717,23135181,16874659,16874658,23121200,23121164,23119546,16859861,16859862,23119550,30538426,255843180,29522635,29522634,38087191,30553659,30540009,30540010,30544143,30553502,23135153,16874609,16874608,16876069,23121237,255132821,7875498,5000197,3021670,1756525,999717,999716,1756523,3021665,5000190,7875480,11793463,16861280,23121174,23130750,16870303,11801212,7881881,7881880,7884721,7884723,254812119,5007485,5007484,7884774,11797025,7878276,7878279,11797033,11805797,11805798,11804931,7884682,7884685,11804941,14567331,14567330,20299593,16865553,11801927,11801924,7885293,7885295,11805736,15535982,15535981,11801906,7882403,5005785,5005783,7882392,11801886,11801850,11801851,16863476,11795404,7877053,7877054,7884888,5007540,5007538,7884882,11796031,11792939,11792938,16860715,23120523,23123520,16863687,16863686,16097381,11180639,7418218,7418217,11180607,11180609,10744573,10744571,10750387,10750388,10744863,10744865,11804718,11804724,11804739,11804742,16874376,22327359,21560819,15539827,10747283,7100500,7100498,7882419,7882416,7098947,4469723,4469720,7098933,10744693,15536152,21556630,27228489,20299453,14567192,10023839,6588012,6588013,10023842,14567199,15579853,21608522,28826913,28826912,256340051,15577997,15577998,21606475,28882380,256237244,255342094,28827537,21556837,21556836,28827536,27228580,20299581,14567320,10777412,7121038,4483568,4483566,7121031,10744372,7098764,4469641,2685469,2685467,4469646,7098778,10744401,15535689,15649625,15536388,10744852,10744850,11800013,16868960,23129376,27229166,20300123,14567754,14567755,17103995,16097428,11180766,7418301,7418302,7098813,4469662,2685478,1555691,1555694,2685489,4469679,7098850,10744436,10744437,15535743,21556238,21284392,15320774,15320776,11140676,7950854,5056825,3063651,3063649,5056817,7950840,10582032,6980878,6980877,7838647,7838650,10581912,15320725,21284319,16924493,11845210,7916781,7916780,10633659,8435511,8435512,12466565,17026382,17026383,23285528,20268240,20268241,22522055,16771741,14039000,14039001,19593658,16766119,16766120,21419708,15428942,10671406,7048192,7035505,7035506,10654474,10639477,10639476,7050715,4437927,2665016,2665015,4437926,7050712,10674708,15440440,255835271,37208177,37208178,47104831,58483064,257446553,37208180,28684280,256326391,256867119,37208179,47104831,58483064,271305133 Dl.O(d2) = 23135192,23135193,23135266,16874788,11805191,7885002,5007594,3027720,3027719,5007588,5007432,5007430,7884662,7884688,7884689,11804947,16874633,23135169,23122947,23122948,30541717,23135181,16874659,16874658,23121200,23121164,23119546,16859861,16859862,23119550,30538426,255843180,29522635,29522634,38087191,30553659,30540009,30540010,30544143,30553502,23135153,16874609,16874608,16876069,23121237,255132821,7875498,5000197,3021670,1756525,999717,999716,1756523,3021665,5000190,7875480,11793463,16861280,23121174,23130750,16870303,11801212,7881881,7881880,7884721,7884723,254812119,5007485,5007484,7884774,11797025,7878276,7878279,11797033,11805797,11805798,11804931,7884682,7884685,11804941,14567331,14567330,20299593,16865553,11801927,11801924,7885293,7885295,11805736,15535982,15535981,11801906,7882403,5005785,5005783,7882392,11801886,11801850,11801851,16863476,11795404,7877053,7877054,7884888,5007540,5007538,7884882,11796031,11792939,11792938,16860715,23120523,23123520,16863687,16863686,16097381,11180639,7418218,7418217,11180607,11180609,10744573,10744571,10750387,10750388,10744863,10744865,11804718,11804724,11804739,11804742,16874376,22327359,21560819,15539827,10747283,7100500,7100498,7882419,7882416,7098947,4469723,4469720,7098933,10744693,15536152,21556630,27228489,20299453,14567192,10023839,6588012,6588013,10023842,14567199,15579853,21608522,28826913,28826912,256340051,15577997,15577998,21606475,28882380,256237244,255342094,28827537,21556837,21556836,28827536,27228580,20299581,14567320,10777412,7121038,4483568,4483566,7121031,10744372,7098764,4469641,2685469,2685467,4469646,7098778,10744401,15535689,15649625,15536388,10744852,10744850,11800013,16868960,23129376,27229166,20300123,14567754,14567755,17103995,16097428,11180766,7418301,7418302,7098813,4469662,2685478,1555691,1555694,2685489,4469679,7098850,10744436,10744437,15535743,21556238,21284392,15320774,15320776,11140676,7950854,5056825,3063651,3063649,5056817,7950840,10582032,6980878,6980877,7838647,7838650,10581912,15320725,21284319,16924493,11845210,7916781,7916780,10633659,8435511,8435512,12466565,17026382,17026383,23285528,20268240,20268241,22522055,16771741,14039000,14039001,19593658,16766119,16766120,21419708,15428942,10671406,7048192,7035505,7035506,10654474,10639477,10639476,7050715,4437927,2665016,2665015,4437926,7050712,10674708,15440440,255835271,37208177,37208178,47104831,58483064,257446553,37208180,28684280,256326391,256867119,37208179,47104831,58483064,271305133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14032187, s2 = 11389486, dlinesl.size( ) = 2 s1 = 14032187, s2 = 11389486, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14032187, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 10660359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10660359, s2 = 11271686, int(edited[s2]) = 0 s1 = 10660359, s2 = 11271686, d1 = 11, d2 = 12 Dl.O(d1) = 260400239 Dl.O(d2) = 123620827,123620828,259787289,81112468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10660359, s2 = 11271686, dlinesl.size( ) = 14 s1 = 15045529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16294041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294041, s2 = 11095936, int(edited[s2]) = 0 s1 = 16294041, s2 = 11095936, d1 = 3, d2 = 18 Dl.O(d1) = 18632987 Dl.O(d2) = 52149840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16294041, s2 = 11095936, dlinesl.size( ) = 16 s1 = 10660781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10660781, s2 = 10660790, int(edited[s2]) = 0 s1 = 10660781, s2 = 10660790, d1 = 39, d2 = 31 Dl.O(d1) = 266405836,236438828,237256503,266575918,235542699,234558949,233478296,232288375,232288374,230970486,229500049,265675017,225960409,227844823,229500045,230970482,266196229,234558945,266570145,238001029,266495036,237274542 Dl.O(d2) = 235542704,235542700,266488663,236438830,266645175,274768014,239299713,238678428,238001026,266575918,235542699,234558942,266301659 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10660791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10660791, s2 = 10660780, int(edited[s2]) = 0 s1 = 10660791, s2 = 10660780, d1 = 49, d2 = 93 Dl.O(d1) = 266301658 Dl.O(d2) = 266570144,238051912,266196228,237792308,237028244,236191832,235273591,265675016,237028248,237792312,238486506,238051904,238051903,237312074,236498748,266575919,236498753,236498749 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10660845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10660845, s2 = 11633174, int(edited[s2]) = 0 s1 = 10660845, s2 = 11633174, d1 = 27, d2 = 16 Dl.O(d1) = 127886283,141246530,153918599,165693802 Dl.O(d2) = 267386350,244868235,275010981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10660845, s2 = 11633174, dlinesl.size( ) = 2 s1 = 10660845, s2 = 11633174, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10660845, Dl.E( ) = 30, 3.31e-05 seconds used appending s1 = 14108405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108405, s2 = 10661277, int(edited[s2]) = 0 s1 = 14108405, s2 = 10661277, d1 = 27, d2 = 14 Dl.O(d1) = 260751994,167815176,178258052,187472349,195490610,263993388 Dl.O(d2) = 265053940,219974803,265053946,227055312,274607835,236090394,236938149,274780223,266753502,236938150,236090398,266152384,233010207,231766591,230382373,274364396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108405, s2 = 10661277, dlinesl.size( ) = 24 s1 = 10661513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10661513, s2 = 2387786, int(edited[s2]) = 0 s1 = 10661513, s2 = 2387786, d1 = 57, d2 = 81 Dl.O(d1) = 232077015 Dl.O(d2) = 64853042,260299265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10661513, s2 = 2387786, dlinesl.size( ) = 24 s1 = 10661546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10661546, s2 = 4602148, int(edited[s2]) = 0 s1 = 10661546, s2 = 4602148, d1 = 12, d2 = 1 Dl.O(d1) = 242904318 Dl.O(d2) = 185019119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10661546, s2 = 4602148, dlinesl.size( ) = 18 s1 = 10662057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14131021, s2 = 11412132, int(edited[s2]) = 0 s1 = 14131021, s2 = 11412132, d1 = 75, d2 = 78 Dl.O(d1) = 273997691,201293544,201293545,206258111,200186063,192994868,184611749 Dl.O(d2) = 84467779,70911806,258660007,98376570,112358208,259731914,84467778,84467777,259905955,98376569,98376570,112358208,126217590,126217592,259731912,259905955,260507901,112358207,112358208,126217590,139591541,272525685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14131021, s2 = 11412132, dlinesl.size( ) = 30 s1 = 10662886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10662886, s2 = 14150259, int(edited[s2]) = 0 s1 = 10662886, s2 = 14150259, d1 = 0, d2 = 12 Dl.O(d1) = 234228671 Dl.O(d2) = 238857599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10662886, s2 = 14150259, dlinesl.size( ) = 78 s1 = 10662932, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10662932, s2 = 14127634, int(edited[s2]) = 0 s1 = 10662932, s2 = 14127634, d1 = 13, d2 = 23 Dl.O(d1) = 266129171,233448480,232257777,230938532 Dl.O(d2) = 231506957,230938532,229466277,265510776,265332923,264922459,264684228,264127940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10662932, s2 = 14127634, dlinesl.size( ) = 20 s1 = 14068561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14068561, s2 = 11104836, int(edited[s2]) = 0 s1 = 14068561, s2 = 11104836, d1 = 26, d2 = 12 Dl.O(d1) = 255994622,23561870,23561869,31045435,39723916,48393305,48393307,49743268,49743267,49743222,39723907,31045429,23561905,17251306,17251307,23561907,31045473,267993118,254390036,23035338,22648978,16457753,11466970,7627361,7627363,11466973,12132463,8162660,5232537,5232536,8162656,12132456,12131909,8162314,8162316,12131889,17251310,23557573,31039660,31045661,23562094,17251482,17251483,23035228,17251324,12131902,12131901,17251319,23561922,23557998,17248673,12130234,12130233,16858411,23117993,22471018,16301892,11342882,7838408,4975670,3005575,1745876,992639,558674,558673,992655 Dl.O(d2) = 24590009,18144736,12866603,8750155,8750152,12866593,18144719,12866617,12866509,8750107,5696917,3544654,3544656,5696925,8750130,12866550,18144648,24589875,24648998,18192041,18192043,24649021,32247455,25320944,18742134,18742136,16726517,11683937,11683939,16726525,22962967,26904678,21307705,21307702,28530152,29170640,256902675,16198422,16198421,22002049,24136315,31643036,40331843,39264714,30668982,30668981,36819755,255657328,23688502,17366784,12235339,8261693,5330187,3276323,3276324,5330193,8261701,12235353,16991610,23254541,30670059,38074690,40307068,256755564,49884342,256508137,23689539,23689537,31178885,23690676,23690675,30699918,30699908,23284249,23284251,22348614,22348615,16198544,11260333,11260335,13919564,11260322,11260323,16198521,22348516,16198446,11260288,11260289,16198453,16198435,11260278,11260279,10924488,10924484,15771927,268393613,21785539,255027946,17556742,12386112,8369798,267998703,17020331,11936070,11936069,16625959,11597103,11597104,16625962,22850644,22851633,16626742,11597643,7720209,7720210,11597645,15626261,14362858,9869600,6484733,6484732,5364357,5364356,8313672,9872178,9872179,9848633,6468567,4053126,4053123,267782695,800919,800920,1407557,2433728,4067097,6490807,254341039,1578922,897682,897686,1578935,2724856,4500230,4500231,6484631,5317594,5317593,8246041,6480021,4060617,2430301,2430300,4060615,6480013,9864796,7337470,7337467,7192449,6484904,6484902,6490198,4066745,4066746,6490205,9878891,9882911,9882910,7702410,7702409,11571717,14482562,20042591,254970545,6480464,4060900,2430445,2430444,4060897,6480460,9865390,14357653,14362718,256739429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14068561, s2 = 11104836, dlinesl.size( ) = 25 s1 = 14119151, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10663775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10663775, s2 = 11636736, int(edited[s2]) = 0 s1 = 10663775, s2 = 11636736, d1 = 1, d2 = 5 Dl.O(d1) = 267449665 Dl.O(d2) = 245162258,244996002,244819458,244819457,244632037,244632038,244819461,267433687,267515817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10663775, s2 = 11636736, dlinesl.size( ) = 2 s1 = 10663775, s2 = 11636736, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10663775, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10663792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10663951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10663951, s2 = 11582164, int(edited[s2]) = 0 s1 = 10663951, s2 = 11582164, d1 = 9, d2 = 11 Dl.O(d1) = 222436960,265593027,274522089,231619492,232874777 Dl.O(d2) = 232874776,266444203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10663951, s2 = 11582164, dlinesl.size( ) = 8 s1 = 14090959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14090959, s2 = 11524730, int(edited[s2]) = 0 s1 = 14090959, s2 = 11524730, d1 = 26, d2 = 19 Dl.O(d1) = 87120403,81110211,259787011,123619094,137351759,150393479,162524345,173557633,173557632,183354218,263917720 Dl.O(d2) = 265333385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14090959, s2 = 11524730, dlinesl.size( ) = 24 s1 = 14036395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10664281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10664281, s2 = 14036396, int(edited[s2]) = 0 s1 = 10664281, s2 = 14036396, d1 = 4, d2 = 9 Dl.O(d1) = 271402114,140844330,153523294,165317165,167020037 Dl.O(d2) = 39705045,31027874,23546894,18115268,18115267,24552016,258325819,89388480,259966276,257531758,256409182,22428597,254778760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10664281, s2 = 14036396, dlinesl.size( ) = 2 s1 = 10664281, s2 = 14036396, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10664281, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 14967311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14967311, s2 = 10664348, int(edited[s2]) = 0 s1 = 14967311, s2 = 10664348, d1 = 6, d2 = 10 Dl.O(d1) = 141461743,154131268,165895454,176546774,185973516,194192039,201231413,207157476,212044256,216036518,264915428 Dl.O(d2) = 216036515,219344099,219444964,222230145,222230146,222230143,222230144,219444965,216147212,216147213,216147217,212166708,207293643,201383769,194360556,186160674,176751952,166118397,154373403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14967311, s2 = 10664348, dlinesl.size( ) = 2 s1 = 14967311, s2 = 10664348, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14967311, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14077081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077081, s2 = 14091532, int(edited[s2]) = 0 s1 = 14077081, s2 = 14091532, d1 = 6, d2 = 10 Dl.O(d1) = 61598022 Dl.O(d2) = 258266672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077081, s2 = 14091532, dlinesl.size( ) = 14 s1 = 16399659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16399659, s2 = 11029058, int(edited[s2]) = 0 s1 = 16399659, s2 = 11029058, d1 = 8, d2 = 0 Dl.O(d1) = 91658759,258412189 Dl.O(d2) = 25523944,255264969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16399659, s2 = 11029058, dlinesl.size( ) = 26 s1 = 14130901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10666492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10666492, s2 = 11197384, int(edited[s2]) = 0 s1 = 10666492, s2 = 11197384, d1 = 76, d2 = 5 Dl.O(d1) = 226115809,227978978,274377878,231070498 Dl.O(d2) = 125665838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10666492, s2 = 11197384, dlinesl.size( ) = 18 s1 = 14002515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10666736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10666811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103927, s2 = 11528542, int(edited[s2]) = 0 s1 = 14103927, s2 = 11528542, d1 = 0, d2 = 29 Dl.O(d1) = 132108477 Dl.O(d2) = 203052412,203052413,264329889,265073011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103927, s2 = 11528542, dlinesl.size( ) = 24 s1 = 14924195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14924195, s2 = 11350152, int(edited[s2]) = 0 s1 = 14924195, s2 = 11350152, d1 = 13, d2 = 11 Dl.O(d1) = 255333324,31063181,23579519,23579518,24214451,31061691,23578169,19591100,14036698,14036697,19591096,15404455,15404456,21388538,254799334,30326275,255481184,21032564,28229504,36723270,38525069,47229188,37320342,28784244,21520616,15509075,15509074,21520611,26387225,33182444,26385666,19651167,19651166,19651250,14085471,14085472,19651259,19651037,19651034,16649213,11617217,7736562,7736561,11617213,11445849,7611860,4815733,4815731,7611850,11445827,16430690,12031508,12031506,12028531,8089200,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17445834,17445835,16415023,16415024,16914303,16659586,16659585,22888350,23178972,16914120,11837302,7911074,5029243,5029244,7911078,11837313,11837527,7911183,5029286,5029287,7911184,11837530 Dl.O(d2) = 255240186,43942367,43942368,51308864,269939753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14924195, s2 = 11350152, dlinesl.size( ) = 14 s1 = 10666987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14998631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136793, s2 = 12245686, int(edited[s2]) = 0 s1 = 14136793, s2 = 12245686, d1 = 44, d2 = 28 Dl.O(d1) = 219063842,265182770,73467228,257608145 Dl.O(d2) = 254562614,589219,254129438,1834944,3138104,5154239,8045978,8045980,5176552,4757312,4757311,7523713,11327595,8012836,8012834,8036385,5126362,254382985,1825225,1041855,254103667,180725,99289,99285,180673,180648,180643,327440,329747,182066,182067,330588,592967,1054537,1847850,254257625,588874,587905,328194,328197,587911,1044423,1829923,1831009,1044966,588174,328316,328318,588186,1044994,1819941,2868305,4758746,5123439,5107466,5107468,5106086,5106084,3140966,1836878,1836879,3140972,5157458,4679950,2819568,2819569,4679952,5170707,254822523,5161248,3144418,1839207,1049597,1049599,1839211,1841323,3147768,5165514,8055682,5146519,5139671,3125990,3125991,3132284,5147580,3159338,3159337,5178165,5135015,3189046,3189044,5154253,5107658,3101061,1811850,1811851,3101062,5107661,3142103,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8000445,8000444,8156562,7975413,7975411,8019544,7975982,5075617,3077916,3077918,2871062,2871063,2866894,2866895,4756498,7522347,11325870,8025144,267794550,8053736,5144706,5144705,8053733,11988821,8040486,5130840,3119035,3119036,254568929,11921389,267836528,12019911,254377046,5114073,3105958,3105959,5114074,8024941,11329118,7525889,7525888,11329116,11990418,8042585,5133112,5133108,7975056,8074011,7527970,4761224,4761225,5177861,5109251,5109249,5172390,5172391,8077508,10773861,7988865,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055867,5045392,7934764,7116444,7116445,10770700,15571380,254252538,11327077,7523261,7523260,5130529,5130528,8040166,267836578,11939577,11939576,12004475,8059556,8059557,12004476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136793, s2 = 12245686, dlinesl.size( ) = 34 s1 = 10667618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10667618, s2 = 11202384, int(edited[s2]) = 0 s1 = 10667618, s2 = 11202384, d1 = 2, d2 = 5 Dl.O(d1) = 127703546,123012047,108743092 Dl.O(d2) = 106912012,92593304,78545758,78545757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10667618, s2 = 11202384, dlinesl.size( ) = 2 s1 = 10667618, s2 = 11202384, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10667618, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11679396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10668389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10668959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10669671, s2 = 14002656, int(edited[s2]) = 0 s1 = 10669671, s2 = 14002656, d1 = 5, d2 = 10 Dl.O(d1) = 255665799,18872671,25473340,33220425,42179472,52537302,52540532,42181750 Dl.O(d2) = 60376069,48979319,39056861,39056860,48979315,60376061,73116033,64408631,52535737,42178234,33219588,25472783,18872319,254922763,9196550,13448305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10669671, s2 = 14002656, dlinesl.size( ) = 8 s1 = 14002655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10670237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10670348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10671696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10671666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10672109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10672109, s2 = 6042420, int(edited[s2]) = 0 s1 = 10672109, s2 = 6042420, d1 = 25, d2 = 19 Dl.O(d1) = 237962189,238644499 Dl.O(d2) = 240374192 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10672231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10672374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10672830, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10673773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10673953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10674095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10674095, s2 = 11474416, int(edited[s2]) = 0 s1 = 10674095, s2 = 11474416, d1 = 10, d2 = 26 Dl.O(d1) = 223541540,221006033 Dl.O(d2) = 263767893,262988107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10674095, s2 = 11474416, dlinesl.size( ) = 30 s1 = 11679746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10674296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10675547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14055095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055095, s2 = 11132178, int(edited[s2]) = 0 s1 = 14055095, s2 = 11132178, d1 = 12, d2 = 10 Dl.O(d1) = 33779007 Dl.O(d2) = 33779005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055095, s2 = 11132178, dlinesl.size( ) = 26 s1 = 14040267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10676248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10676488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10676488, s2 = 11216658, int(edited[s2]) = 0 s1 = 10676488, s2 = 11216658, d1 = 43, d2 = 3 Dl.O(d1) = 256911718 Dl.O(d2) = 123992553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10676488, s2 = 11216658, dlinesl.size( ) = 44 s1 = 14143025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143025, s2 = 14143393, int(edited[s2]) = 0 s1 = 14143025, s2 = 14143393, d1 = 6, d2 = 6 Dl.O(d1) = 227294395,265781195,230558982,231920458,231920456,266089742 Dl.O(d2) = 227294395,265781195,230558982,231920458,231920456,266089742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143025, s2 = 14143393, dlinesl.size( ) = 2 s1 = 14143025, s2 = 14143393, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14143025, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14091705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091705, s2 = 5202921, int(edited[s2]) = 0 s1 = 14091705, s2 = 5202921, d1 = 135, d2 = 136 Dl.O(d1) = 260142005,130137320,261852971,262829463,273582648,264454367,206176589,211206094,206176588,263615516,272896186,152170549,262149275,273697125,206176589,211206094,263964518,192877099,184477203,272896186 Dl.O(d2) = 201361596,264526285,216130802,265405915,226687064,228497251,230087900,266007518,228497249,266128229,233907933,234950599,233907930,274600209,228497248,230087896,266128225,232764251,231499354,230087897,265877108,224609470,222216932,265405913,219429968,216130800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091705, s2 = 5202921, dlinesl.size( ) = 34 s1 = 10677778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10677790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14981365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14981365, s2 = 11015526, int(edited[s2]) = 0 s1 = 14981365, s2 = 11015526, d1 = 6, d2 = 13 Dl.O(d1) = 155431184 Dl.O(d2) = 260699986,58824376,53881031,53881032,59524657,48137528,42905147,42905118,33859933,33859934,42905126,257837641,74671327,70445298,70445299,59524617,59524618,58361996,58082647,46711081,255887490,21120924,15173330,10464610,6897888,4330009,4330010,6897892,7362495,4650542,2801230,2801231,4650544,7362500,11102046,12504415,17681379,22095943,16043402,15277041,15277039,21243958,21573583,15550544,15550545,21573587,16043397,11139778,11139776,16043390,21828590,15760720,15760722,11098921,7360556,7360558,11098930,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,22095990,22095992,22096069,24906705,22096049,15987935,15987936,20191349,15987416,11098556,11098554,15549172,11098613,7360384,4649357,2800561,1624544,1624546,2800566,4649365,7360409,7360510,7360508,10755102,15550477,21573483,22200131,22095802,22095801,28458143,28458145,36958318,29426509,29426508,29543335,38106591,37988019,37988018,29426760,22095908,15987537,11098635,11098633,15987533,21543348,21543346,22823724,16603260,16603261,22823729,30215916,29426457,22095665,22095628,22095630,29426420,37987812,37988232,37988233,47903466,38026959,29464875,29426523,22095721,22095720,24338063,17947983,12718158,12718157,15987473,11098589,11098588,15987467,22095815,29426641,29426430,29426431,37987819,47903473,255788860,48201661,38292295,38292294,48201659,256275808,257391986,58062387,70780064,59308408,59308407,256429778,47903702,59298299,72034407,59298168,47903525,37987891,37987890,40561871,40561832,31860136,31860138,31860147,28308211,28308212,28794172,21529193,21529194,22095888,29426720,26586861,19782618,19782617,26586856,34573666,33105910,31860204,31860200,40561903,47294439,47294438,39511975,39511973,49443268,48952366,39030674,39030677,47087048,47087046,46502437,37520238,28976423,21693653,21693651,28976413,37520219,39800073,39800074,49820851,47427416,37519619,28975843,28627874,28627875,37141146,34573708,26586877,26586878,34573713,43845195,46382980,37519988,37519987,37519723,37519724,28976256,21693531,21693535,28081338,36549639,28976218,28976219,28976528,21693728,15653146,15653147,15653083,15653084,21693332,15652906,15652908,21693334,28975974,21693609,21693608,254576260,28976013,36446950,28976464,21693687,15653127,10834304,7161810,7161811,8479392,8479389,12516388,17696386,15652763,15652762,21462078,15461735,15461733,21462069,28718125,27987845,23479065,17196260,12092065,8131819,8131820,12092072,17196274,18708714,18708704,15596347,10789242,10789243,15596352,21627210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14981365, s2 = 11015526, dlinesl.size( ) = 8 s1 = 10678869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10678869, s2 = 10678885, int(edited[s2]) = 0 s1 = 10678869, s2 = 10678885, d1 = 44, d2 = 52 Dl.O(d1) = 267758315,2129797,3573089,5738180,8808697,12946784,18249754,24722851,32339006,255659696,41154074,32338881,255622819,18249702,18249735,24722813,32338967,39400589,39400564,32339822,32339821,41154837,38690036,38690035,38690042,30114184,30114185,254443228,32339827,32339826,25376148,18791116,13384255,13384254,18233584,24704240,31436206,30797395,30797396,39400571,32339819,32339820,40114720,32338994,254918976,30797425,30797426,30797390,30797389,39400566,49328836,40114730,31436242,23945356,255181319,12422984,17600280,23945353,23945359,255020458,12422987,268142430,31436224,23945340,17600269,16527784,16527783,22733560,30114189,30797400,23370854,17102137,268378864,3568472,3568471,5731159,8798433,12933245,18233578,17600208,17600209,256023657,23370867,17102146,17102147,23370869,30797423,31038253,23556239,17247213,12129147,12129148,17247214,16207954,16207955,17487466,18879199,16527665,11519034,11519031,16527658,22733386,17102145,12423009,12423008,17600320,17536731,17536728,23883136,19165159,19165161,25814133,30113930,31436218,31282095,31282093,25583248,19697768,19697771,26436584,22733397,17600259,16527843,11519134,11519135,16527845,19697760,19697761,17247181,17247180,16529101,11519898,11519897,16529093,22735425,28875888,28875887 Dl.O(d2) = 21754479,29047928,37417469,28875894,28875895,23112078,22733420,16527688,11519052,11519053,12703760,12703761,17929280,24315171,22733323,22733324,30113922,37843877,37595594,37595593,39784731,38004568,29441668,22108194,21954838,21954837,29279276,22162091,22162090,29047842,21754414,15700589,15700590,15327480,15327479,21293784,28514839,37014200,37847981,38064083,38689921,38689920,255883298,19360934,19360935,23112080,23112079,30530231,38689928,38689929,47499596,39128629,30530216,23112066,16853344,11786764,7870332,7870331,11786760,16853339,11786774 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10678886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10678886, s2 = 10678881, int(edited[s2]) = 0 s1 = 10678886, s2 = 10678881, d1 = 15, d2 = 12 Dl.O(d1) = 11788223,16855164,11788209,7871511,7871512,11788213,16855169,23114324,30532892,30713068,23296524,23296525,30713072,30532908,23114337,22057160,15953274,15953273,255883299,37952187,38080240,30620579,30620535 Dl.O(d2) = 5092537,5092538,5092536,5092535,7999737,11950744,10498046,10498048,15219039,15219005,15219004,21179495,28399950,33111525,25376151,21179532,15219026,10498041,6922490,6922487,10498035,10498227,10498228,9565981,6277559,3930888,3930889,6277563,9565990,9352630,9352632,13657986,19128597,25768390,19471045,13935609,13935608,19471041,13935649,10498287,6922642,4349022,2604709,1503187,852149,481312,481311,852148,1503033,2604407,4348463,6921681,10496726,15217016,21176922,256023656,36907080,36907079,28603758,21370104,21370103,28603756,28403161,21182361,268378865,18790860,25375866,25376175,25376159,18791122,13384261,13384262,18791124,18790932,13384122,268142431,10499541,255020459,18790915,25375921,28400154,21179685,255181318,18790900,13384102,13384101,13384112,9148520,5986835,5986836,9148522,9148524,254918977,5986827,3743529,2240995,2240994,3743525,5986820,9148498,13384077,18790865,18790946,13384135,9148539,5986846,3743565,2241011,2241012,254443229,9148626,13384282,13384106,9148515,5986832,3743531,2240996,2240997,3743535,5986839,9148526,13384118,18790922,25375884,255622818,18791161,18791153,255659697,18790911,13384108,13384107,18790909,13384136,13384137,9148733,5986962,267758314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10678886, s2 = 10678881, dlinesl.size( ) = 14 s1 = 10678964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10678964, s2 = 11534304, int(edited[s2]) = 0 s1 = 10678964, s2 = 11534304, d1 = 15, d2 = 24 Dl.O(d1) = 266731723 Dl.O(d2) = 239021729,238380792,266750735,238380790,237677481,237677479,237677483,236902761,236051160,266357288,266146800,274524935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10678964, s2 = 11534304, dlinesl.size( ) = 22 s1 = 14003029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10679184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10679184, s2 = 11072802, int(edited[s2]) = 0 s1 = 10679184, s2 = 11072802, d1 = 14, d2 = 3 Dl.O(d1) = 265007398,212298311,264241074,73269001,73269002,86880753,100850072,100850071,113944091,113944090,127824270,116142061,102084423,88097606,88097607,85963537,73269027,60524074,49122951,39195369,39195368,49122950,60524070,256949432,98450112,98450113,86880906,86880907,84528184,70964563,58248019,257082384,28504523,28504521,37002230,46880850,58248004,70964506,58247961,58247960,58247966,258664209,258220357,60784298,59554539,59554541,72288764,85880651,259998879,87150191,73531786,72785351,60046601,48649972,38728771,30147242,30147241,38728770,255594548,48012715,59400323,60784510,49383961,49383962,49383793,49383794,59554437,72288643,73531553,85880702,85880332,72288366,72288365,59554469,59554468,72288692,71445729,60784666,49384073,49384072,60784663,73531992,73531854,73531531,73531532,73531579,72288434,72288433,73531957,73531958,87150338,73531969,60784649,60784651,73531976,85819798,72288638,72227643,72227584,59492132,48103958,38192578,29625872,22274486,16132233,11206555,11206556,16132240,22274495,29625886,38192605,39456016 Dl.O(d2) = 257220890,67786828,67786827,76921260,255822272,41688036,41688037,51999491,51966221,41658423,32747854,32747855,41658431,48103930,48242172,59629369,64811263,52889965,42483362,42483361,42483159,33487402,33487400,42483155,52889763,52889724,42483111,33487466,25712702,19084905,13625809,9330317,9330316,13625800,19084898,25712692,33487450,38201055,29634264,22282014,22282012,29634259,38201047,33487606,29141613,29141614,33963487,29761369,29761370,254659310,268780761,19430717,19430716,22218816,29564536,29325922,21996224,18531930,13167331,8975498,5859480,5859479,8975492,13167320,16899073,18750485,13349232,13349235,18750491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10679184, s2 = 11072802, dlinesl.size( ) = 2 s1 = 10679184, s2 = 11072802, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10679184, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 16213063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10679352, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15055308, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14019611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14151193, s2 = 14114750, int(edited[s2]) = 0 s1 = 14151193, s2 = 14114750, d1 = 180, d2 = 32 Dl.O(d1) = 266780054,230223000,228648723,226858590 Dl.O(d2) = 140152076,152846090,262670793,184983840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14151193, s2 = 14114750, dlinesl.size( ) = 126 s1 = 14093221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146831, s2 = 11546866, int(edited[s2]) = 0 s1 = 14146831, s2 = 11546866, d1 = 43, d2 = 36 Dl.O(d1) = 266383327,266632353,238555951,239187968,266883573 Dl.O(d2) = 266417926,274554154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146831, s2 = 11546866, dlinesl.size( ) = 2 s1 = 14146831, s2 = 11546866, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14146831, Dl.E( ) = 68, 2.88e-05 seconds used appending s1 = 14140437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140437, s2 = 7447817, int(edited[s2]) = 0 s1 = 14140437, s2 = 7447817, d1 = 31, d2 = 21 Dl.O(d1) = 266028133,232958101,266357793 Dl.O(d2) = 266750360,274701733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140437, s2 = 7447817, dlinesl.size( ) = 14 s1 = 10681024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10681292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10681292, s2 = 11368588, int(edited[s2]) = 0 s1 = 10681292, s2 = 11368588, d1 = 27, d2 = 28 Dl.O(d1) = 53618073,256084848,255229986,13941589,9569056,6279179,6279180,9569059,13941534,19481695,26190199,26177364,19474053,19474054,26177369,34023144,29991088,22623116,22623092,16437889,16437886,22623076,29989575,26176662,19473620,13936958,13936960,9567544,9567545,13938690,19476637,26181673,23068495,16819049,11761413,11761415,13938208,19475906,23072647,16821986,11763358,11763360,255514221,256459699,49005408,60406798,73151430,73151431,86762235,86762231,86762230 Dl.O(d2) = 60406788,49005401,49005402,258815623,73151428,73151420,73151419,60406791,60406790,59872261,48480569,48480570,258779663,259404999,114200991,261747195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10681292, s2 = 11368588, dlinesl.size( ) = 12 s1 = 14099805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099805, s2 = 14060482, int(edited[s2]) = 0 s1 = 14099805, s2 = 14060482, d1 = 22, d2 = 24 Dl.O(d1) = 259913774,66917122,54660691,43918394,34645441 Dl.O(d2) = 66917114,258506329,258506324,80343391,66917119,258506327,54660685,43918389,34645438,34645439,257288977,66917114,258506329,269174033,256202191,19840750,14213986,9771487,6424708,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,11952425,11952423,17038592,23298671,30715773,36769960,34645852,28274876,25073970,18531394,13166841,13166840,18531392,25073966,32770941,41687367,51998792,255216054,58172829,49865297,39842261,31159488,31159489,36769847,42995538,33940993,26106372,19415178,19415177,255804163,21043671,15115512,15115511,10433794,6878532,4317749,4317748,4317732,4317704,4317645,4317643,6878349,6878404,6878405,10433585,15127078,21059522,28261258,31592640,40276965,32088588,32088584,36752335,28257393,21056511,15124909,10432181,10432176,15124832,10432131,8700141,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059434,28261115,31698254,36737618,28242567,21043619,15115474,10426145,10426141,15115459,11724862,7827510,7827509,6874040,4315182,4315180,6874031,10426013,15115256,21043238,23464357,17184938,17184936,23464396,30897813,36571308,36756106,46431113,46431114,36907564,33443552,33443555,25673146,19051919,13600596,13600595,19051914,20921248,20921117,20921116,28095872,28095879,28095877,36566426,46430764,57785890,70486381,77957378,64762058,52841663,42436920,33444022,33444021,29625945,255088212,11206575,11206574,15865845,10996604,10996605,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,19836595,19836592,22556570,26650224,22396159,22396158,29756625,29756806,38326263,36754610,28259546,28259545,36754606,36450086,27991541,27991540,25475346,18873982,13449383,13449380,11288436,7494886,4737804,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,16237557,22398452,29760033,38330369,30764526,23341302,17075115,254833220,257025897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14099805, s2 = 14060482, dlinesl.size( ) = 26 s1 = 10681416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10681508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14049429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14049429, s2 = 11145686, int(edited[s2]) = 0 s1 = 14049429, s2 = 11145686, d1 = 38, d2 = 13 Dl.O(d1) = 254318504,10658650,10658651,15418885,19280691,19280693,25944028,24544948,18110353,12841871,8732881,5685401,5685402,8732884,12841879,18110366,13761737,10658763,7038787,7038786,10658757,15418986,21406897,28649202,32383834,24763434,18286434,18286435,24763436,32383838,28632871,28632872,37146920,32097212,24521971,24521972,31531354,31531356,40217148,268271846,33751414,33751413,32099930,32099927,37910701,29341618,22009701,22009700,29341615,32889421,25180107,25180108,18620524,18620523,25180112,25335001,18755589,18755590,25335002,24029464,256030531,25350458,18768776,18768777,24794423,24794424,31531475,31531473,257666881,41314080,40217257,31531499,31531500,40217259,33926569,26093363,19404007,13880775,255294559,26093362,255833357,15424728,255833355 Dl.O(d2) = 12845156,18115136,15516123,15516125,21529147,256334579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14049429, s2 = 11145686, dlinesl.size( ) = 18 s1 = 10682148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10683007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16294197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294197, s2 = 10683006, int(edited[s2]) = 0 s1 = 16294197, s2 = 10683006, d1 = 11, d2 = 21 Dl.O(d1) = 154345428 Dl.O(d2) = 128344083,114467180,100442788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16294197, s2 = 10683006, dlinesl.size( ) = 8 s1 = 16399663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10684378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10684458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10685581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14023517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14023517, s2 = 10685613, int(edited[s2]) = 0 s1 = 14023517, s2 = 10685613, d1 = 21, d2 = 17 Dl.O(d1) = 4406324,4401802,2638124,2638123 Dl.O(d2) = 28561224,28561223,37062487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14023517, s2 = 10685613, dlinesl.size( ) = 14 s1 = 10685615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10685615, s2 = 14023518, int(edited[s2]) = 0 s1 = 10685615, s2 = 14023518, d1 = 7, d2 = 19 Dl.O(d1) = 63031076 Dl.O(d2) = 10007500,10007501,7018831,7018830,10632881,14545026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10685615, s2 = 14023518, dlinesl.size( ) = 12 s1 = 14116191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116191, s2 = 11564520, int(edited[s2]) = 0 s1 = 14116191, s2 = 11564520, d1 = 0, d2 = 5 Dl.O(d1) = 265017465,222297113,224679786,226748723,228552766,230139042,231547270,232809612,233950905,234990751,233950924,232809624,231547287,230139052,228552777,226748729,226748727,265882229,231547282,231547280,266132865,266676361,274816389,266742697,266603253,235937121,234990758,234990757,233950918,233950899,233950900,233950906,233950905,234990750,235937114,234990755,233950909,232809614,266012529,228552770,228552771,265882231,266132867,233950899 Dl.O(d2) = 226748721,226748722,228552764,266132863,233950901,233950904,234990749,234990746,233950914,232809616,231547280,230139050,230139049,231547278,266243363,234990744,266525065,234990760,233950917,232809618,232809617,233950901,233950904,234990749,234990746,233950902,232809609,232809610,231547277,231547272,231547268,230139044,230139043,231547271,231547285,230139051,228552777,226748729,224679788,224679789,265882233,231547271,231547285,231547284,232809620,233950919,234990762,235937119,234990754,233950909,232809614,231547275,230139047,228552769,228552768,274562531,266525067,235937119,234990752,233950908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116191, s2 = 11564520, dlinesl.size( ) = 2 s1 = 14116191, s2 = 11564520, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14116191, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 10687964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128375, s2 = 14067910, int(edited[s2]) = 0 s1 = 14128375, s2 = 14067910, d1 = 11, d2 = 0 Dl.O(d1) = 193715414,263198588 Dl.O(d2) = 59267317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128375, s2 = 14067910, dlinesl.size( ) = 18 s1 = 14067909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10689251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10689251, s2 = 11066702, int(edited[s2]) = 0 s1 = 10689251, s2 = 11066702, d1 = 37, d2 = 0 Dl.O(d1) = 152363,152358,152495,152491,276129,492140,872641,1537316,2657173,4427465,7036697,10655316,7036069,4426910,4426909,7036067,10655314,15414740,255746905,14442381,14442382,14422343,9920800,6520296,4085407,2444234,2444235,4085408,6520299,9916448,6520428,4085495,2444289,1413299,1413302,2444304,4085533,6520493,9921066,10612003,15360051,21332936,25330843,25330844,256120542,27000552,20110503,14527669,9996327,6569745,5969300,3733076,2235158,1296270,1296269,2235155,254441973,9122446,11646449,11646450,13993825,9920203,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415404,254316651,6529992,9935429,11646313,7759004,7758893,6519023,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971374,9125357,13353309,13164009,8972749,8972748,7035966,7035967,254472219,4091481,254690833,12908581,12908582,255034970,6414999,4427185,4427184,4024614,2411803,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300021,2763031,1601743,910756,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,2077396,2077393,3496159,3848239,6149908,4091641,254690869 Dl.O(d2) = 55339297,55339296,272780219,162548981,263030241,273676933,205535654,265139197,223774459,225937165,264297020,156005495,269409412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10689251, s2 = 11066702, dlinesl.size( ) = 28 s1 = 14039455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039455, s2 = 11434878, int(edited[s2]) = 0 s1 = 14039455, s2 = 11434878, d1 = 17, d2 = 16 Dl.O(d1) = 25111151,19517876,19517875,26234212,22184514,22184513,26913097,28604077,37113343,42266975,255409958,28788943,37325160,32182287,24595308,18148814,18148813,254120574,8346178,8346177,12353302,17518062,23861872,22453055,22453057,29820393,32946411,31919317,24386769,24386768,31919313,269786388,88687632 Dl.O(d2) = 262851179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039455, s2 = 11434878, dlinesl.size( ) = 28 s1 = 14160529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160529, s2 = 11346780, int(edited[s2]) = 0 s1 = 14160529, s2 = 11346780, d1 = 18, d2 = 11 Dl.O(d1) = 266830640,266387166,232511773,231219439,265940952 Dl.O(d2) = 264380848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160529, s2 = 11346780, dlinesl.size( ) = 20 s1 = 10689873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14980077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14980077, s2 = 11143544, int(edited[s2]) = 0 s1 = 14980077, s2 = 11143544, d1 = 9, d2 = 11 Dl.O(d1) = 261168187,113759955 Dl.O(d2) = 72198338,269338761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14980077, s2 = 11143544, dlinesl.size( ) = 18 s1 = 14064299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10691122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10691122, s2 = 11292798, int(edited[s2]) = 0 s1 = 10691122, s2 = 11292798, d1 = 0, d2 = 5 Dl.O(d1) = 1422498 Dl.O(d2) = 255338433,257862269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10691122, s2 = 11292798, dlinesl.size( ) = 2 s1 = 10691122, s2 = 11292798, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10691122, Dl.E( ) = 8, 1.5e-05 seconds used appending s1 = 14161737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161737, s2 = 7936644, int(edited[s2]) = 0 s1 = 14161737, s2 = 7936644, d1 = 36, d2 = 3 Dl.O(d1) = 228936802 Dl.O(d2) = 28300104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161737, s2 = 7936644, dlinesl.size( ) = 24 s1 = 10691799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10692876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10693105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10693105, s2 = 11342378, int(edited[s2]) = 0 s1 = 10693105, s2 = 11342378, d1 = 26, d2 = 11 Dl.O(d1) = 90461713,270858786,72814905,60077568,60077567 Dl.O(d2) = 261916590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10693105, s2 = 11342378, dlinesl.size( ) = 24 s1 = 10693177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10693359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10693359, s2 = 11317852, int(edited[s2]) = 0 s1 = 10693359, s2 = 11317852, d1 = 0, d2 = 0 Dl.O(d1) = 260164107,74902216,74902217,260164105,88540645,74902211,74902212,270923851,88540647,259549735,116646712,271613403,107797990,93376009,79248742,65884851,62098845,50600435,50600433,62098843,74902217,62098844,50600435,40559522,40559521,50600431,62098839,62098842,62098843,74902217,62098844,258301707,258301705,258476267,257858785,43291582,43291581,269574605,79248740,93376006,102547337,88540645,88540644,102547336,261332079 Dl.O(d2) = 260164107,74902216,74902217,260164105,88540645,74902211,74902212,270923851,88540647,259549735,116646712,271613403,107797990,93376009,79248742,65884851,62098845,50600435,50600433,62098843,74902217,62098844,50600435,40559522,40559521,50600431,62098839,62098842,62098843,74902217,62098844,258301707,258301705,258476267,257858785,43291582,43291581,269574605,79248740,93376006,102547337,88540645,88540644,102547336,261332079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10693359, s2 = 11317852, dlinesl.size( ) = 2 s1 = 10693359, s2 = 11317852, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10693359, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11792876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14084357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14084357, s2 = 11442096, int(edited[s2]) = 0 s1 = 14084357, s2 = 11442096, d1 = 1, d2 = 157 Dl.O(d1) = 87762561 Dl.O(d2) = 230829007,230829008,232158955,274653379,266454218,266261338,233359375,234447485,266261340,232158959,230829014,274582101,232158950,230829003,229341279,227663772,225750131,223555181,221022481,264828656,264302130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14084357, s2 = 11442096, dlinesl.size( ) = 20 s1 = 10693824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072127, s2 = 14125936, int(edited[s2]) = 0 s1 = 14072127, s2 = 14125936, d1 = 51, d2 = 31 Dl.O(d1) = 258507059,259764771,264931509,265825089,274350050,224170366,221719220,218863464,264234008,263173444,263173442,263173444,184805746,175239782,175239783,262738284,175239788,264180937 Dl.O(d2) = 200326174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844395, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10694555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003747, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10695641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10695644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10695644, s2 = 10695640, int(edited[s2]) = 0 s1 = 10695644, s2 = 10695640, d1 = 21, d2 = 17 Dl.O(d1) = 89172048,75424462,62505495,62505496,75424464,89172053,103261841,117391076,131194130,131194131,129771891,115872685,101826152,101826151,103261834,117391067,129771888,129771887,117391073,103261840,258941638 Dl.O(d2) = 74246899,257120488,129771890,258941634,129771889,115872680,101826145,101826146,115872681,129771890,129771893,115872683,101826150,87851669,87851668,101826149,257705098,129771889,115872680,101826145,87851667,74246896,268270326,49990924,61468326,74246898,74246899,61468327,49990925,39974900,31300358,31300357,33751124,42781830,53232958,65221499,78510404,257120484,106875559,100814549,86833447,73221029,60474675,49071549,39141496,255504140,23124548,16864694,11796490,7877895,5001889,3022859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10695644, s2 = 10695640, dlinesl.size( ) = 8 s1 = 10695995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10695995, s2 = 14074028, int(edited[s2]) = 0 s1 = 10695995, s2 = 14074028, d1 = 13, d2 = 4 Dl.O(d1) = 50491987,258915623,260154695,263647561 Dl.O(d2) = 259938860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10695995, s2 = 14074028, dlinesl.size( ) = 8 s1 = 14074027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074027, s2 = 10695994, int(edited[s2]) = 0 s1 = 14074027, s2 = 10695994, d1 = 5, d2 = 13 Dl.O(d1) = 259938861 Dl.O(d2) = 263647560,260154694,258915622,74794890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074027, s2 = 10695994, dlinesl.size( ) = 8 s1 = 10696001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10696001, s2 = 11970768, int(edited[s2]) = 0 s1 = 10696001, s2 = 11970768, d1 = 19, d2 = 20 Dl.O(d1) = 154370975,154370976,166115635,263578969 Dl.O(d2) = 273999702,201379562,264245535 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10697035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10697035, s2 = 11286716, int(edited[s2]) = 0 s1 = 10697035, s2 = 11286716, d1 = 51, d2 = 28 Dl.O(d1) = 184745483,272696006,271981346 Dl.O(d2) = 260513773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10697035, s2 = 11286716, dlinesl.size( ) = 12 s1 = 10697080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10697100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14030363, s2 = 11446806, int(edited[s2]) = 0 s1 = 14030363, s2 = 11446806, d1 = 41, d2 = 37 Dl.O(d1) = 254482571,2540118,4248813,6778384,254497715,4390451,6831388,6831276,6831277,7720972,7720974,11598655,16628069,11965788,8009987 Dl.O(d2) = 261249751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14030363, s2 = 11446806, dlinesl.size( ) = 30 s1 = 14238173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14238173, s2 = 11022496, int(edited[s2]) = 0 s1 = 14238173, s2 = 11022496, d1 = 4, d2 = 9 Dl.O(d1) = 254256924,1491647,844690,844688,1491640,2587463,4324840,6889093,10450517,6889278,6889260,6889261,7941333,11879131,254357352,11888233,7948237,7948239,11888237,9168770,9168769,11920285,17006844,17095883,12009172,8066419,5160208,5160206,8066418,12009169,11882729,7944051,7944052,7951897,7951896,11892402,16979246,16971077,13409726,9168219,6000654,3752692,3752691,5063182,3067775,3067776,5063184,7941570,5050596,5050598,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940166,7791546,11684377,7967174,7967173,11910720,7967995,5069733,3073427,1792787,1792788,3073430,5069737,4700572,4700573,7439074,11211682,16139450,16980599,16980598,16984416,16984414,16985179,16995990,11910289,11910290,11499258,7648806,4839397,4839395,7648801,7945478,11884659,11926380,11926378,11952979,11953031,8001605,5093949,3091691,3091688,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,11389517,11389516,254380772,11887663,11887662,16974881 Dl.O(d2) = 29896538,22541009,16365866,11389284,7566644,4784468,254510417,2723515,254240443,952155,536879,536880,952157,1673716,2883854,1673453,1673454,1674503,1673068,1673070,1673746,1673780,1673779,2884293,2882966,2882967,2884810,2883312,2883313,2884266,4785844,4785417,2883907,2883908,2885208,1674443,952606,537121,301148,166772,166773,301153,537025,952438,1673518,952502,537062,301115,166756,91821,50667,50664,91813,166745,301096,537030,952448,952141,952142,951943,951944,1673369,2883749,2884769,4457172,4784420,2883108,1672974,1672972,2883104,2884398,4784743,4311236,2577955,2577956,2885097,4785849,4785176,2883684,2883685,4785180,4785309,7078865,4786732,2885048,1674330,1674329,2885043,4785817,4786835,4786834,2885165,2884737,1674109,952411,952410,1674104,2884195,2884840,2884839,2883477,1673286,1673282,2883594,4785004,4457071,2677564,1550970,1550971,2677567,4457077,4786521,4786520,7567752,4785461,2883946,2883944,4785457,254502945,4457565,4530958,2723630,2723631,4457553,7080017,7079477,7079476,7079585,7569003,4786516,2884847,2884849,2884750,1674117,952415,952414,1673259,1673258,2883559,4784972,4456972,2677498,254335969,497620,279060,279058,497606,881825,1551073,2677741,4457388,2677845,1551122,1551121,2677842,4457522,7079963,10716097,11390169,7567382,4785111,2883652,1673314,951917,536745,536746,951921,1673327,2883673,4785159,7078948,7078947,10715055,15494351,21501613,21503485,15495815,10716293,10716294,15495817,21503489,28761903,28762828,21503039,21503040,28762830,37296173,39953886,37295000,28761251,21503263,21503262,15495739,10716209,10716210,15495742,21501703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14238173, s2 = 11022496, dlinesl.size( ) = 8 s1 = 10698631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14035721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11681188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10699199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111993, s2 = 11486136, int(edited[s2]) = 0 s1 = 14111993, s2 = 11486136, d1 = 21, d2 = 18 Dl.O(d1) = 274415707 Dl.O(d2) = 274228934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111993, s2 = 11486136, dlinesl.size( ) = 28 s1 = 14003949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10700453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10700886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10700915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15055345, s2 = 11075182, int(edited[s2]) = 0 s1 = 15055345, s2 = 11075182, d1 = 76, d2 = 71 Dl.O(d1) = 255030605,255826879,268916909,71017261 Dl.O(d2) = 112502156,112502157,270805439,58302167,46936184,257434279,60668838,60668837,70564594,60668642,268794208,30743883,23323054,17057831,11966688,267901643,3095439,1808600,1032958,582137,582136,1032956,1808610,3095460,5099841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15055345, s2 = 11075182, dlinesl.size( ) = 60 s1 = 11681316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10701945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10702202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10702487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10702618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10702755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10702755, s2 = 10702721, int(edited[s2]) = 0 s1 = 10702755, s2 = 10702721, d1 = 31, d2 = 5 Dl.O(d1) = 4888458,4888459,7723040,11601610,16631976,22857941,21353166 Dl.O(d2) = 101820306,115866588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10702755, s2 = 10702721, dlinesl.size( ) = 44 s1 = 10703037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10703037, s2 = 14215031, int(edited[s2]) = 0 s1 = 10703037, s2 = 14215031, d1 = 1, d2 = 31 Dl.O(d1) = 123786442 Dl.O(d2) = 266954955,241441560,241855005,242236627,242589778,242918668,267247951,243777378,267299571,244467279,274989003,267360380,274967026,242848106,242513831,242154409,241766662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10703037, s2 = 14215031, dlinesl.size( ) = 2 s1 = 10703037, s2 = 14215031, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10703037, Dl.E( ) = 72, 3e-05 seconds used appending s1 = 14160373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160373, s2 = 11395694, int(edited[s2]) = 0 s1 = 14160373, s2 = 11395694, d1 = 9, d2 = 11 Dl.O(d1) = 266025663 Dl.O(d2) = 273385535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160373, s2 = 11395694, dlinesl.size( ) = 20 s1 = 14075975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10705635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10706618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10706856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10706952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11792994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100355, s2 = 11448714, int(edited[s2]) = 0 s1 = 14100355, s2 = 11448714, d1 = 40, d2 = 33 Dl.O(d1) = 259248457,70377018,258622353,97758011 Dl.O(d2) = 6826979,6826982,10363671,257399999,270793423,274175576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100355, s2 = 11448714, dlinesl.size( ) = 28 s1 = 10710687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10711192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10711192, s2 = 11360900, int(edited[s2]) = 0 s1 = 10711192, s2 = 11360900, d1 = 7, d2 = 12 Dl.O(d1) = 38124157,257022228,26041011,19362471,13849483,9500772,6231552,3901473,2336625,2336624,3901470,6231545,9500759,13849465,19362452,22674158,16477596,255487495,256427305,37399028,37399025,47308332,256956000,21442506,15446848,10679737,10679736,15446843,21442495,22604281,22604280,28693757,21442625,15446915,10679765,255036109,21442634,28693768,37218922,47116285,47116005,37218643,37218645,47116008,58494378,71216303,84785237,71216414,58494636,256867835,28693731,28693732,256867837,47116143,37218810,37218811,37218820,28693690,256327029,37218560,37218559,37218627,28693520,256327017,258057955,58494271,258057943,71216284,71216285,71216286,58494362,47116068,37218690,28693560,28693559,37218686,47116059,47116223,47116222,58494623,58494166,47115798,47115796,58494163,258682241,98712946,259309009,71215792,58493872,58493871,258682287,58494642,47116242,37218890,28693735,268614389,257447341,58493863,47115521,47115520,58493861,258682215,91486397,77555635,64387448,52513796,42155839,33196434,25450307,18852290,18852291,25450309,33196437,42155760,52513668,47115585,37218300,37218299,47115583,58493937,71215858,58494567,58494566,71215787,84784861,71215801,58493886,47115542,37218268,28693247,21442247,21442246,28693244,37218264,47115535,47116211,37218857,37218858,47116212,58494616,71216460,71216456,58494591,58494589,71216454,259309053,77555526,258682219,58493892,258057913,58494575,47116180,37218831,37218830,47116178,52513720,64387373,258680454,71215850,71215849,84447238,83925317,70399211,64387361,52513705,46355881,46355882,57705192,64387303,57705243,46355922,36497906,28035035,28035036,36497908,46355924,52513766,42155822,42155823,52513769,64387424,71215710,58493792,47115474,47115475,58493795,63539351,58493876,52513690,46808509,46808508,47005870,58175893,58175894,70890111,70399215,70399216,83925320,97783932,98356904,98712813,84784790,71215703,58493787,58493786,64398207,64398208,77566521,70399248,57705202,46355888,36497895,36497896,46355891,57705209,57705236,46355912,46355913,57705238,70399279,70399291,70399292,83925405,97783998,111706112,112339600,98356930,84447297,70890143,58175916,58175917,70890145,77555615,77555614,259658411,112339575,98356889,258680434,259645860,70399245,70399246,83925356,97783958,97783971,107652804,97783933,83925322,83925323,259868839,112708309,98712792,98712791,107652805,112339595,111706091,97783956,84784759,84784757,85959392,85959393,93250093,79134796,79134793,83925338,70399226,57705177,57705179,58493736,52255299,52255298,64104232,74400256,74400258,83925354,71216293,71216294,258680424,112708538,125512299,125512300,112339587,98356920,84447287,70890132,58175909,46808503,46808504,58175912,70890136,84447291,258989050,260232518,139935671,139935670,152305209,261077578,112339584,112339585,126200124,126200129,112339590,98356914,84447284,84447283,98356911,97962411,84088571,84088572,97962415,111899938,125717445,118820876,118820875,126572076,139935665,143256193,129927610,116028852,101981671,101981672,260232528,112708291,104640651,90477119,76618793,76618792,84784686,84784687,258989054,126572070,126200128,260232520,259616038,125717431,111899929,111899930,125717435,118820747,118820746,132639061,126847365,112993660,112993662,104640605,104640604,269961682,101981685,99004429,99004432,112993666,112708367,98712887,98712886,88005848,74400314,268477458,50139931,61621594,74400333,88005863,90476849,76618414,76618413,63539265,58777574,47390419,37482814,37482815,47390423,58777583,71506876,85078938,99004435,88005836,88005837,257748424,88005868,74400338,61621599,50139935,40119138,40119136,50139933,61621580,74400276,61621554,50139899,50139898,61621552,63538808,63539218,51760503,51760502,51760531,41490041,32610523,24946015,18431438,18431437,24946011,32610519,41490034,41489874,41489875,51760346,51760475,41490004,41490005,51760477,58777577,58777578,63538994,63538995,76618570,90476935,90476960,76618614,76618613,254901834,52183074,41857805,41857804,40119142,31439955,23948405,17602864,12425027,12425026,17602860,23948399,31439941,40119115,41857807,41489589,41489590,41489930,51760392,51760521,63539252,76618822,90477155,256607434,76618596,76618595,256607432,257160958,55743591,55743590,68141556,76618450,63538840,256607444,76618440,68141558,55743594,44835768,35410580,27285465,20350326,20350325,27285460,35410574,41489860,41489861,51760330,63539028,254635572,41857819,32927418,32927417,41857817,51760040,63538803,63538794,51760037,51760036,63538790,63538940,63538941,51760726,41490262,32610728,32610727,41490257,51760714,52155213,41835603,32909574,32909577,41835607,41835639,32909596,25197581,25197582,32909602,41835642,52155267,63981545,55743628,44835801,35410602,27285482,20350334,14606979,14606980,268065192,35410616,32610371,32610340,24945855,18431333,13091930,13091929,18431330,24945850,32610332,41489755,41489761,41489762,51760210,63538936,63538734,63538733,51760219,41489769,41489768,50139871,50139869,41490251,41490250,51760703,63513214,76591887,76618287,63538653,63538654,63981500,52155227,41835613,32909580,32589810,32589812,41466737,51735577,63513176,59813631,48427650,48427649,59813627,68141575,55743618,55743619,63538969,51760322,41489855,41489856,51760223,41489777,32610310,24945842,24945844,32610316,32610044,32610045,41489517,44835818,44835817,256607484,258987125,76591711,63513161,51735564,41466727,41466726,51735560,63513154,257748466,52664441,52664442,64565258,77748139,91675346,104611139,118788972,271508880,90448985,76591715,63513013,63513015,64565357,64565350,64565349,77748209,91675385,104611124,90449068,76591840,76591839,77748076,91675317,104611131,91675374,258989070,63513143,51735554,51735555,63513146,76591832,76591747,63513057,63513058,76591749,64564967,52664165,52664164,52664536,52664535,64565367,64565244,64565032,52664232,52664231,52664447,42277119,33295935,33295934,33295822,25534253,25534254,33295829,42276932,51735428,63512952,76591649,76591661,90448956,91675341,77748118,259040151,76591740,76591741,90449012,76618314,76618313,77748137,64565255,52664440,257206375,42276930,257160932,64564978,77747953,76591665,76591664,90448960,77748066,64565128,52664309,42277023,42277022,52664306,52664188,42276950,42276949,52664182,52664527,42277174,42277173,52664524,64565344,77748199,77748158,64565285,52664471,42277142,42277140,52664195,42277196,33295982,25534351,18923150,18923151,25534353,33295986,33295930,25534317,18923131,13490333,9229646,9229648,13490340,18923112,13490325,13490324,18923108,25534271,33295855,42276981,52664228,42277200,42277198,52664566,64565396,64565131,52664313,42277025,33295879,33295880,42277029,52664319,269999157,52664404,52664405,42277168,42277169,52664520,64565339,77748169,64565295,52664484,42277147,33295958,33295959,42276957,37218532,37218533,42277132,33295953,33295955,42277138,52664465,52664279,42277012,42277011,42277088,42277086,52664394,52664217,42276974,33295850,25534268,25534266,33295848,42276971,52664210,52664575,42277203,42277202,52664571,64565399,58494085,47115713,47115715,42277018,42277019,52664295,52664249,52664248,64565055,77748010,64565335,64565334,63527905,63527904,64565251,71215956,71215955,64565313,52664496,52664494,64565307,258722032,95660200,104629663,104629664,259063514,257818260,66883226,55739292,55739291,258098456,68137068,68137069,59791014,48406496,48406497,59791016,72525857,64565079,64565080,68137281,55739386,55739387,68137284,63527927,63527926,76607357,85439707,99380360,85439739,85439740,81627146,68137177,55739262,44831469,44831468,44831473,55739268,68137180,58494025,47115661,37218352,28693299,21442275,21442276,28693303,37218359,29236382,21918593,21918592,29236377,37799158,47719813,59117201,71215953,64565067,64565066,76607321,63527887,51749788,47115675,38500986,29937717,22575050,22575051,29937720,27280428,20344952,14602348,14602347,20344946,27280421,35406151,44831343,256366778,257250848,44831457,35406069,27280373,20344923,20344924,27280377,35406076,44831476,51749833,41480452,41480453,47115628,255634292,71215911,71854998,71854997,258361834,59117197,59117196,55739079,44831313,35405968,27280319,20344885,14602321,14602322,20344891,27280322,268837799,55739103,55739289,256767825,27280382,27280383,35406085,44831487,55739220,55739219,256908626,55739069,44831301,44831300,55739067,68137020,59117355,59117356,68137204,55739286,44831483,44831482,55739283,68137201,81627141,81627159,74761246,74761245,81627124,81627103,68137087,68137088,257391372,44831317,44831316,44831297,35405961,35405960,44831293,50465317,55739131,44831440,35406062,27280371,20344921,14602338,10047794,6602693,6602691,10047789,14602334,20344917,27280366,35406057,44831432,55739225,55739136,55739135,44831579,44831580,55739431,68137321,81627223,257160214,71215915,81627126,68137129,61961230,50465322,50465321,61961229,57725532,46375216,46375217,50465636,61961531,70420648,57725541,57725540,68137140,55739218,55739217,61961653,61961652,74761561,74761234,74761236,81627106,68137091,61961488,61961490,61961289,50465390,40427630,31733465,31733466,31733456,31733457,31733459,31733460,40427621,50465376,61961272,55739157,55739158,57725654,70420716,81627101,68137083,68137082,81627099,259252474,61961173,61961172,55739142,55739143,61961333,61961332,55739140,50465404,40427635,40427634,50465400,61961199,61961200,61961235,50465327,50465328,59109075,71847629,81627172,81627171,68137225,61961344,61961345,74761276,61961284,61961285,61961256,50465361,40427608,40427609,50465363,50465476,40427678,31733491,24224895,17853140,17853139,24224890,31733485,40427671,50465465,59109073,61961598,256813020,50465364,257391370,80384076,80384075,94442774,108734832,259346896,102395590,88395113,74761326,61961355,61961354,74761325,74761261,258002132,269295614,258098052,88395247,88395246,88395261,74761538,68137254,55739350,44831523,44831522,55739346,68137250,81627195,95660236,109863705,124002139,137683118,130325286,130325285,140580263,127234706,113376877,99376260,85434905,71849345,71849343,71850796,71850797,85436094,85435875,71850421,270830749,113377682,260565392,259346884,99377133,85435849,85435850,95192257,95192256,85435792,71850294,71850293,255062574,71850440,71850439,73388664,60642187,49241432,39314486,39314485,47715068,47715069,59112689,59112680,47715060,47715059,270312557,270876019,258002152,256908272,57810631,46454609,36588518,36588516,46454606,57810629,70511859,84047101,97917881,111852160,100997756,87004143,85435839,85435838,99377128,101151205,87153357,258098016,59637302,59637303,72371726,85966476,73534968,73534967,87153395,87153394,87918805,101892910,99923991,87918796,74315339,61538757,50060460,50060459,49386612,49386614,60433389,49029663,49029662,46850945,36972090,29768257,29768256,38339346,48250023,49386524,60787381,70890769,70890770,59112617,47715004,47715006,59112619,71850724,74315343,61538759,61538761,74315344,85436076,73534833,60787375,49386512,49386513,49386599,49386595,49386594,60787451,60787469,49386668,39458469,39458470,49386673,60787537,73534985,74315356,72371733,72371734,85966487,87153310,87918792,101892902,97917884,87153408,73534991,73180307,73180308,70936168,60787364,49386505,39458352,30854117,23423376,23423378,30854124,39458360,49386488,49386657,47715014,37794194,37794193,47715010,59112626,71850706,71850708,85436040,99377191,87153366,73534911,60787465,49386607,39458426,30854166,23423399,23423397,30854161,39328000,257032211,30854179,23423406,17146265,12050412,8101602,8101603,12050417,17146276,23423422,30854211,39458513,39249091,30653219,23231859,23231858,30653215,39249082,49174229,49386635,39458439,39458440,39328084,39328086,49254747,49254746,60655441,73119396,60379443,60379445,60642156,49241412,49241410,39328067,39328066,47711160,37790212,37790213,39249057,39458376,49386542,58443150,47066774,47066773,58443148,71165450,60787323,49386471,49386472,39458451,39458408,30854155,23423395,23423394,28656188,30854190,39458476,49386679,60655393,60655394,73401867,73401903,73534875,258843395,258211205,60655464,49254767,39328077,39328080,49254769,60655468,73401915,60655516,49254826,39328119,30729931,23311461,23311462,30729933,39328032,30729874,23311425,17049210,17049211,23311431,23311436,30729885,39328041,39328042,39249022,30653178,30653179,39249026,41924439,52262807,60572958,49174150,39249011,39249010,39319013,30720700,30720699,257022351,60646576,257023133,30730033,23311522,17049256,17049257,23311525,256478297,46403213,46403212,57754172,70449322,83977301,73315770,60572953,49174144,39249008,30653169,255524667,11871271,11871270,16959152,23231830,30653167,39249002,39328319,39328318,32984034,32984035,39328355,39328356,255344608,60572966,257334286,85433352,270806009,258211224,58325642,58325641,47711113,47711114,46958613,269311187,47711107,37790159,37078206,37078205,37790230,37790231,47066951,47066952,256857549,37078218,46958609,258046393,58325678,55666747,44756426,37078233,29228221,255435683,10969964,10969963,15829742,21911935,29228116,21911867,255435673,15829707,21911886,21911910,15829724,10969953,7261137,7009376,4406424,4406425,7009382,10620904,15370868,21345964,28574531,29228229,37078000,29228245,21911955,255062393,10969971,15829757,21911964,21911945,15829751,10969967,10969969,15829754,21911951,29228239,28574365,21345843,21345842,28574361,28574375,21345851,15370765,15370766,21345855,15370782,15370783 Dl.O(d2) = 255061516,50442360,61933068,74726760,85217067,99139834,85216981,71651187,61933092,50442380,49996423,39979892,37640709,29090240,29090230,29090232,37640686,37771387,37640673,37640674,47546963,58929316,61474011,61474012,61933059,61932868,50442134,40408051,31715894,24208355,24208354,31716107,254344432,61474019,268994905,31304831,39979894,39923094,31247530,31247531,255497798,29209508,21895658,15817440,10961614,7255771,254754269,255434459,29209512,255975908,26041004,26041003,33862797,255869982,31716083,40408278,49996412,39979881,255869980,256013689,31304817,31304816,39979879,255869988,31715992,24208265,24208266,31715973,268626716,17838298,17838299,24208241,31715960,40408130,37771381,37771382,47692780,58117826,46749221,36869873,36869874,37771380,37771379,31247536,23763192,20221461,20221462,17482776,12326687,8326991,8326992,12326690,12326697,12326698,12631946,17838280,12631975,8576833,5572708,5572709,8576835,12631978,255589953,31716014,255337370,13849451,9500753,9500752,13849448,260329399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10711192, s2 = 11360900, dlinesl.size( ) = 2 s1 = 10711192, s2 = 11360900, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10711192, Dl.E( ) = 14, 1.72e-05 seconds used appending s1 = 10711253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10711314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10711360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10711360, s2 = 11324172, int(edited[s2]) = 0 s1 = 10711360, s2 = 11324172, d1 = 24, d2 = 31 Dl.O(d1) = 12903786,12903788 Dl.O(d2) = 158347032,169720739,172588974,161407306,149120159,149120158,161407305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10711360, s2 = 11324172, dlinesl.size( ) = 2 s1 = 10711360, s2 = 11324172, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10711360, Dl.E( ) = 32, 2.19e-05 seconds used appending s1 = 10711455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10711455, s2 = 13216568, int(edited[s2]) = 0 s1 = 10711455, s2 = 13216568, d1 = 42, d2 = 38 Dl.O(d1) = 256040586,40330065 Dl.O(d2) = 255747515,256748065,47194720,37286153,37286152,47194719,41734366,256095300,34567115,34567114,33329546,25569471,23352455,17084944,11997369,11997370,17084945,23352382,17084907,17084908,23352384,28906448,28906447,37445701,47352275,47230538,37321620,28785383,21521583,15509794,10726424,7086969,4462074,254226695,154209,279419,498212,882902,913605,913606,1502303,851569,480971,270694,270693,480970,267736068,851635,254072026,481010,254085916,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288890,514796,514886,288943,288942,254163781,2767940,2767422,2767421,4599767,5481684,254864445,7390516,7390517,7294798,4600457,4600456,5481682 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10711751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10711751, s2 = 11425446, int(edited[s2]) = 0 s1 = 10711751, s2 = 11425446, d1 = 10, d2 = 8 Dl.O(d1) = 114693398,259969974,166317054,262212730,201466660,207360295,212220501,216191719,219483041,222263190,224649763,222263186,222263185,219483045,263884208,207360296,207360297,212220504,216191722,219483048,222263199,224649760,226722394,226722393,224649757,222263182,219483034,219483035,222263184,224649748,222263174,219483029,219483030,219483040,219483041,222263190,224649763,222263186,222263185,219483045,263884208,207360296,207360297,212220504,216191722,219483048,222263199,224649760,226722394,226722393,224649757,264490506,263884210,212220504,216191722,219483048,222263199,224649760,226722394,226722393,224649757,222263182,264584796,226171668,264584798,264584800,222263179,219483032,219483033,222263181,264748168 Dl.O(d2) = 224035259,226171668,264584798,224035261,221571064,218698516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10711751, s2 = 11425446, dlinesl.size( ) = 2 s1 = 10711751, s2 = 11425446, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10711751, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 14191165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10712029, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14110007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110007, s2 = 15257635, int(edited[s2]) = 0 s1 = 14110007, s2 = 15257635, d1 = 12, d2 = 16 Dl.O(d1) = 262074149,263019421,191750030,199147188,205403158,205149529 Dl.O(d2) = 262544976,261516276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110007, s2 = 15257635, dlinesl.size( ) = 8 s1 = 10712648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10712762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10713144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10713144, s2 = 11134522, int(edited[s2]) = 0 s1 = 10713144, s2 = 11134522, d1 = 13, d2 = 1 Dl.O(d1) = 204949329 Dl.O(d2) = 33968989,26130254,19435238,13906772,9544313,6262069,3920440,2346793,1359411,1359413,2346851,3920549,6262281,9544639,6431171,4096480,2450753,1416947,806151,806153,1416955,2450778,4096554,6538409,9948286,11145084,13188546,14245094,9792466,7072682,7072680,10705457,11024008,8004675,8004679,11957479,17044892,23305907,254953572,256180482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10713144, s2 = 11134522, dlinesl.size( ) = 22 s1 = 10713420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11681972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10713963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10714648, s2 = 11556796, int(edited[s2]) = 0 s1 = 10714648, s2 = 11556796, d1 = 0, d2 = 8 Dl.O(d1) = 224749847 Dl.O(d2) = 228605498,230185816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10714648, s2 = 11556796, dlinesl.size( ) = 12 s1 = 10714677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10714677, s2 = 11473054, int(edited[s2]) = 0 s1 = 10714677, s2 = 11473054, d1 = 49, d2 = 31 Dl.O(d1) = 195753987,264006211,187802067,178681006,178681005,187802066,195753982,202562537,208284677,202562542,195753986,195753985,202562541,208284682,208284689,208284684,208284683,208284688,202562555,195753993,195753994,195754000,187802085,187802080,263662573,263282449 Dl.O(d2) = 197863399,204330032,209724670,214148739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10714677, s2 = 11473054, dlinesl.size( ) = 18 s1 = 10714801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10714845, s2 = 10714831, int(edited[s2]) = 0 s1 = 10714845, s2 = 10714831, d1 = 12, d2 = 14 Dl.O(d1) = 263970790 Dl.O(d2) = 264281594 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15033371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10715954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10715954, s2 = 5875845, int(edited[s2]) = 0 s1 = 10715954, s2 = 5875845, d1 = 48, d2 = 63 Dl.O(d1) = 19268959,25930021,19267920,13772351,13772352,19267840,19267839,25929949,257009350,19268168,13772362,13772363,268099154,25930347,19268300,13772504,9441891,9441864,6189478,6189479,9441866,13772475,13772487,13772485,19268288,25930238,19268157,19268158,25930243,19268165,19268164,19268049,19268050,19268786,19268785,25930258,25930113,19268021,19268020,19268044,13772276,9998800,9998802,14531211,14531417,20250918,22364333,16210756,11268715,11268716,16210760,22364341,29720422,22364305,22364306,27165245,20251109,20251111,25930045,29720470,22364399,16210806,16210805,16210804,255907163,22364288,16210709,11268683,11268682,16210706,16210729,22364311,22364367,22364318,20251163,14531581,14531582,20251167,16210790,16210789,22364378,29720463,27165237,20250792,20250791,27165251,20250706,20250707,20250911,20250686,14531196,14531195,14531225,14531226,20250718,25930275,19268188,19268187,25930270,23137570,19268074,19268075,25930049,19267942,19267943,16210811,11268751,7480447,4727443,2848279,2848278,4727439,7480438,7480419,4727429,4727428,7480415,7886050,7886049,11806706,16210744,14531347,14531346,20250861,14531380,9998921,9998922,14531382,20250889,20251156,20251122,14531570,9999064,9999062,14531365,9998910,9998912,11268727,16210777,16876592,16876591,16876811,11806881,11806879,7886427,5008632,5008631,7886422,11807250,16876840,20250865,20251158,20251160,27165381,30555082,255963810,22021705,18861179,18861180,16877215,11807195,7886380,5008607,5008609,7886383,9998968,6571415,6115693,3826442,2292453,2292451,2462248,4116541,6571361,6571366,4116546,4116547,6571371,9998889,14531333,14531673,18861307,16196973,11259125,7474430,6013148,6013147,4116671,2462318,1423297,1423282,809669,458877,458878,809670,1423284,2252779,2252777,3760691,6013171,9187576,13438296,18861290,25461483,33209393,42169305,42169306,256827560,36652483,28176721,256288197,257405821,46516264,57872160,70573508,57874988,46519497,36652472,36652471,46519495,50681247,40623811,40623810 Dl.O(d2) = 266310473,235618288,236507826,274768251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10715954, s2 = 5875845, dlinesl.size( ) = 12 s1 = 14066873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14066873, s2 = 11316880, int(edited[s2]) = 0 s1 = 14066873, s2 = 11316880, d1 = 32, d2 = 39 Dl.O(d1) = 48131980,255901852,24359485,17964790,12730708,8650612,5626659,5626661,8650614,12641642,12641643,16158386,22304199,254431212,11226452,11226450,16158418,22304256,17939928,17939926,14081441,9685592,9685593,254630568,26380516,34258124 Dl.O(d2) = 79313508,258969760,145127624,145127623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14066873, s2 = 11316880, dlinesl.size( ) = 34 s1 = 14241679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14241679, s2 = 11181520, int(edited[s2]) = 0 s1 = 14241679, s2 = 11181520, d1 = 1, d2 = 1 Dl.O(d1) = 15573873,10772999,7118135,4481770,4481769,7118134,4568765,4568766,7246174,8557154,8557153,12608252,15809507,10955524,7251056,4572487,2750603,2750604,4572490,7251061,10955531,15809518,21885764,22554286,21885807,21885808,29085900,29085901,30588776,30241836,22848214,21885804,15809545,15809544,21885800,29198052,37759500,40380819,31687047,31331190,31146499,23659982,17343119,16956353,11868539,7932644,7932643,11868535,16956343,23229345,17343049,12216542,8246703,8246701,12216537,17343044,14380130,255325775,25035431,32722255,37636034,39818446,31136052,256416176,17331685,12206619,12206618,17331684,23648521,256505182,15727223,21785731,21786140,15729821,12206606,8238373,5310820,5310821,254839935,17331666,17821250,12617818,8565066,5561483,5561485,8565069,7202928,7202927,7204239,7204238,8238371,5310817,5310816,8238370,12206602,255550525,9141223,5981911,5981910,9141218,13374604,15730271,10893589,7204372,4538850,2728146,2728149,4538856,7204385,10893611,11333701,11333702,15729310,16626559,22851403,26950122,26950123,35030685,37635805,29085979,29085980,29080346,23186026,16920087,16920086,255054867,255054865,21788139,29085634,268929989,57733928,57733927,70428336,258215452,63741902,76846744,76846747,90285299,101959272,87986135,74383307,61606687,50126657,40106555,31426828,23935866,17592619,12417975,8393315,5416567,5416566,8393313,255180871,23935857,30127307,38704054,257557033,58083658,258026519,72743313,257528818,46712108,36829614,36829613,257416571,70800370 Dl.O(d2) = 15573873,10772999,7118135,4481770,4481769,7118134,4568765,4568766,7246174,8557154,8557153,12608252,15809507,10955524,7251056,4572487,2750603,2750604,4572490,7251061,10955531,15809518,21885764,22554286,21885807,21885808,29085900,29085901,30588776,30241836,22848214,21885804,15809545,15809544,21885800,29198052,37759500,40380819,31687047,31331190,31146499,23659982,17343119,16956353,11868539,7932644,7932643,11868535,16956343,23229345,17343049,12216542,8246703,8246701,12216537,17343044,14380130,255325775,25035431,32722255,37636034,39818446,31136052,256416176,17331685,12206619,12206618,17331684,23648521,256505182,15727223,21785731,21786140,15729821,12206606,8238373,5310820,5310821,254839935,17331666,17821250,12617818,8565066,5561483,5561485,8565069,7202928,7202927,7204239,7204238,8238371,5310817,5310816,8238370,12206602,255550525,9141223,5981911,5981910,9141218,13374604,15730271,10893589,7204372,4538850,2728146,2728149,4538856,7204385,10893611,11333701,11333702,15729310,16626559,22851403,26950122,26950123,35030685,37635805,29085979,29085980,29080346,23186026,16920087,16920086,255054867,255054865,21788139,29085634,268929989,57733928,57733927,70428336,258215452,63741902,76846744,76846747,90285299,101959272,87986135,74383307,61606687,50126657,40106555,31426828,23935866,17592619,12417975,8393315,5416567,5416566,8393313,255180871,23935857,30127307,38704054,257557033,58083658,258026519,72743313,257528818,46712108,36829614,36829613,257416571,70800370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14241679, s2 = 11181520, dlinesl.size( ) = 2 s1 = 14241679, s2 = 11181520, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14241679, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 10717501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10717501, s2 = 9800310, int(edited[s2]) = 0 s1 = 10717501, s2 = 9800310, d1 = 38, d2 = 52 Dl.O(d1) = 24466042,18046340,12792822,12792824,10520238,6937916,6937921,5259728,3215267,1883636,1074630,603722,603725,1074640,1883665,3215325,5259846,7469099,11251715,14939198,14939199,14561763,14561762,14561812,254875718 Dl.O(d2) = 2816974,2816977,1777538,1013462,571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297968,531315,941995,1655585,1896130,1082256,607830,607831,1082262,1889012,1077952,605446,605444,1077944,1889000,1902002,254133773,254089023,186982,340680,342016,342015,615206,1095869,1089559,254105185,341251,613624,341207,187238,102274,102273,187232,341221,613652,1093101,1914023,3258046,3268121,3268120,3266003,3264226,3264225,5314784,8242868,7305452,4609889,4609890,7305454,11030792,7308466,4612512,2777301,2777302,4612513,3258670,1914505,1914504,3258668,1922724,1922725,3202938,1891375,1875521,1875524,3202997,5244354,8174755,5256403,5256402,3249026,3249024,5298134,5301302,3251998,1919208,1096301,1096300,1919202,3265229,5316042,4962466,2996991,1740546,989073,989072,1740532,2996963,4962418,7820276,11718410,8206590,8206588,8204433,8204432,5278376,5259356,3232152,3232151,3239488,1900615,1084901,1084905,1900663,1916026,3195527,1915042,1873110,1873113,3199539,2998199,1741303,1741305,2998211,1894492,1894488,1877861,1079553,1075548,604212,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533183,945373,601780,335148,335149,184328,184331,335203,601884,1071105,1877510,3206081,4790622,4790621,5247924,8178298,5272279,5272278,4627900,4627901,7326986,7571094,8176496,5246106,3204401,1876401,1876402,3204403,5246110,4627667,2886321,2886320,4788563,5090319,4750745,2863201,1661814,1661813,2863197,4750733,3205081,3205079,5243685,3202319,1875035,1069648,1069647,1875030,3202312,5243676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10717501, s2 = 9800310, dlinesl.size( ) = 20 s1 = 14128641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10717616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10717788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10718002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10718109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10718109, s2 = 11105912, int(edited[s2]) = 0 s1 = 10718109, s2 = 11105912, d1 = 7, d2 = 7 Dl.O(d1) = 254541777,2912740,255107645 Dl.O(d2) = 254541777,2912740,255107645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10718109, s2 = 11105912, dlinesl.size( ) = 2 s1 = 10718109, s2 = 11105912, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10718109, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 10718502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10719052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10719052, s2 = 11158028, int(edited[s2]) = 0 s1 = 10719052, s2 = 11158028, d1 = 10, d2 = 6 Dl.O(d1) = 255406923,28735041 Dl.O(d2) = 47173209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10719052, s2 = 11158028, dlinesl.size( ) = 14 s1 = 10719835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10719835, s2 = 11184800, int(edited[s2]) = 0 s1 = 10719835, s2 = 11184800, d1 = 26, d2 = 23 Dl.O(d1) = 98646869,84716441,84716442,98646872,112643699,270792608,112643698 Dl.O(d2) = 58424724,58424725,53940377,256998922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10719835, s2 = 11184800, dlinesl.size( ) = 28 s1 = 14005013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147635, s2 = 11646916, int(edited[s2]) = 0 s1 = 14147635, s2 = 11646916, d1 = 33, d2 = 30 Dl.O(d1) = 235493464,236393436 Dl.O(d2) = 86057871,258859748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147635, s2 = 11646916, dlinesl.size( ) = 14 s1 = 11682370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11682370, s2 = 14114442, int(edited[s2]) = 0 s1 = 11682370, s2 = 14114442, d1 = 23, d2 = 42 Dl.O(d1) = 222608540 Dl.O(d2) = 265822974,230329008,228765392,226989730,224953185,222608544,219878267,216643183,212740674,207968248,202180248,195296124,187244802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11682370, s2 = 14114442, dlinesl.size( ) = 22 s1 = 14100413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14041903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14041903, s2 = 14100414, int(edited[s2]) = 0 s1 = 14041903, s2 = 14100414, d1 = 26, d2 = 18 Dl.O(d1) = 21269220,21269221,28485777 Dl.O(d2) = 259285861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041903, s2 = 14100414, dlinesl.size( ) = 34 s1 = 14005091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10722467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10722467, s2 = 11409770, int(edited[s2]) = 0 s1 = 10722467, s2 = 11409770, d1 = 13, d2 = 10 Dl.O(d1) = 263634789,263719528 Dl.O(d2) = 180886312,189780008,197447256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10722467, s2 = 11409770, dlinesl.size( ) = 14 s1 = 10722542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10722542, s2 = 5182632, int(edited[s2]) = 0 s1 = 10722542, s2 = 5182632, d1 = 41, d2 = 33 Dl.O(d1) = 15898774,17310289,17310288,23220839,30643702,23677448,254917176,15254734,10524200,6940808,6940805,8737266,8737261,12848543,16947554,13640408,9340647,9340646,13640390,9340638,6118274,3828031,2293422,1330691,1330690,2293419,3828025,6118262,9340612,13640351,19104684,23223385,16950204,11862963,11862961,16950194,23223375,18555225,15898785,11021699,7297054,4602411,4602410,254758529 Dl.O(d2) = 215516959,211426552,211426551,215516960,274340365,228170862,229793625,274593169 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142395, s2 = 12280864, int(edited[s2]) = 0 s1 = 14142395, s2 = 12280864, d1 = 8, d2 = 18 Dl.O(d1) = 265346642 Dl.O(d2) = 218764264,215373603,264441218,206248675,200175722,192983373,184599114,184599115,192983375,200175725,206248673,200175732,192983381,184599122,184599123,184599124,192983384,200175737,206248671,206248670,200175730,200175729,192983379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142395, s2 = 12280864, dlinesl.size( ) = 12 s1 = 10722625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15015763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15015763, s2 = 11408070, int(edited[s2]) = 0 s1 = 15015763, s2 = 11408070, d1 = 12, d2 = 7 Dl.O(d1) = 264429524,221614324,218751207 Dl.O(d2) = 273698277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15015763, s2 = 11408070, dlinesl.size( ) = 14 s1 = 10722687, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14905091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14905091, s2 = 11033236, int(edited[s2]) = 0 s1 = 14905091, s2 = 11033236, d1 = 22, d2 = 25 Dl.O(d1) = 256136080 Dl.O(d2) = 29559491,22213958,16082332,11168698,7409572,4681882,2820905,1953898,1953899,3321844,5402871,3321849,1953905,1116249,626421,348069,190852,104202,104201,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,15305138,17575231,12403422,8382551,8382553,12062855,10693067,10693065,11244438,11244441,12397906,8378560,5407096,5407095,8378556,12397898,12377683,12377682,17547525,20288553,17569503,12397700,12397701,13536275,13536274,18971455,23620861,17565076,12393740,8375655,8375654,8110427,8110425,11914516,7969921,7969924,11914523,15411367,12379665,8365310,6048997,6048996,9235927,13499576,13535757,13535758,16178031,11244826,10569155,8369609,8369610,7464217,4716899,2841677,1648436,1648434,2841671,4716886,7464181,7843614,11747944,16801255,17552600,15486147,15486145,12248216,8272249,5337772,3281194,3281195,5337777,8272258,8365446,8365445,5399220,5399221,5022902,5022903,7901860,11824009,16896262,13497558,13497557,18932992,18950271,17547181,13516677,9249084,9249082,13516672,12394627,8380895,8380896,12377393,12259680,8279524,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,10465080,15173971,21121842,21121870,28333569,31212058,36623488,28150161,20972147,15061771,10386440,6844886,4294912,4294913,6844887,10386442,15061776,20972153,17908431,12687161,9205049,6026500,6026501,8273434,8273433,10556899,10556898,11934052,11934051,17018030,17018026,11934046,11934045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14905091, s2 = 11033236, dlinesl.size( ) = 26 s1 = 10722809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10722809, s2 = 11245236, int(edited[s2]) = 0 s1 = 10722809, s2 = 11245236, d1 = 9, d2 = 1 Dl.O(d1) = 5493544,3383735,3383734,2414884,1397866,1397864,2058368,2058369,3404663,5508390,5531742,5531733,5531734,5526267,5360761,3383670,3383667 Dl.O(d2) = 128752656,142109421,150423023,137382996,123651596,123651597,123651598,114854529,100803050,257587086,111906595,260059374,70559799,57858221,46502047,36634945,28160281,28160282,36634947,46502051,57858227,47774428,37851294,37851296,47774431,59173262,71911120,85496094,99437564,113439412,113439416,112993384,257587084,85496099,85078660,71506614,58777290,256885803,28940524,255418221,14382710,9888271,6497220,4071219,2436124,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10722809, s2 = 11245236, dlinesl.size( ) = 2 s1 = 10722809, s2 = 11245236, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10722809, Dl.E( ) = 22, 1.41e-05 seconds used appending s1 = 10723039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10723829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100877, s2 = 11146020, int(edited[s2]) = 0 s1 = 14100877, s2 = 11146020, d1 = 22, d2 = 0 Dl.O(d1) = 112488069,261094483,259914193 Dl.O(d2) = 46929005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100877, s2 = 11146020, dlinesl.size( ) = 12 s1 = 11793092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124803, s2 = 14352461, int(edited[s2]) = 0 s1 = 14124803, s2 = 14352461, d1 = 46, d2 = 42 Dl.O(d1) = 183387258,173593235,162562979,261527858,123663503,123663504,137394716,137394718,137394717,150434435,162562980,173593226,183387246,191949099,199314552,199314555,205546298,199314549,199314550,199314558,263784080,183387256,173593232,162562976,162562975,173593229,183387252,263008618,162562980,173593226,183387246,191949099,199314552,199314555,205546298,199314549,199314550,199314558,263784080,183387256,173593232,162562976,162562975,173593229,183387252,263008618,162562980,173593226,263437283,199314550,199314558,263784080,183387256,173593232,162562976,162562975,173593229,183387252,263008618,162562980,173593226,183387246,191949099,199314552,199314555,205546298,199314549,199314550,191949106,263008616,162562979,261527858,123663503,123663504,137394716,137394719,261558227,150434433,137394714,123663501,109471129,95216860,258483496,67694683,81160299,259791051,123663506,137394717,150434435,162562980,173593226,183387246,191949099,199314552,199314555,205546298,199314549,199314550,199314558,263784080,183387256,173593232,162562976,162562975,173593229,183387252,263008618,162562980,173593226,183387246,191949099,199314552,191949100,191949101,199314557,205546302,205546305,263784078,183387248,173593227,263437285,272763802,109471132,95216861 Dl.O(d2) = 255368025,257398479,270275841,84038909,70504127,57803166,46447525,36582048,28109825,20933220,15025144,10352980,6817538,6817537,10352977,15025142,20933215,28109818,271817220,70504129,57803173,46447531,36582044,260029758,19417714,13892083,9532766,6253551,3914799,3914800,6253164,3914616,3914617,6253170,9532467,13892444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124803, s2 = 14352461, dlinesl.size( ) = 36 s1 = 10724926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10724926, s2 = 11060412, int(edited[s2]) = 0 s1 = 10724926, s2 = 11060412, d1 = 4, d2 = 0 Dl.O(d1) = 259006774,73127320,60387020,48989366,255645552,23063624,16814918,11758166,7851340,4983694,3010415,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983581,3010377,3010379,3011037,1748840,994388,994386,1748675,994303,994300,1748662,3010675,4984431,7853161,11762258,16820305,23070065,23070067,18105951,12838488,12812403,8711314,5670798,3527399,3527397,5670771,5670703,5670701,8711146,12812148,16430210,16430211,22400632,29762775,27062318,27062319,30480017,23071221,16821003,16821001,20211958,16824177,16824175,13321120,9101174,9101173,7851827,4983772,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010410,4983304,3010262,3010264,4983344,7850878,11758637,16815531,16820057,11762101,11762098,16820047,23069904,22622112,16437136,11452080,7617207,7617208,11452084,13939095,19477406,19872198,19872032,14237779,14237781,16816114,11759120,11759122,9787532,6434637,6434639,9787541,14237837,19872128,16442432,16442433,22628704,23075578,16823908,11764532,10661563,7040980,4430762,2659612,1748533,994258,994255,1748564 Dl.O(d2) = 3010402,3010405,4983761,7851813,255034499,255649850,34117178,36447336,36447337,33599131,33599132,28898826,21623622,21623623,28898827,254875730,47175796,38535834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10724926, s2 = 11060412, dlinesl.size( ) = 2 s1 = 10724926, s2 = 11060412, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10724926, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14005279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10726549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10726806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10726806, s2 = 10991660, int(edited[s2]) = 0 s1 = 10726806, s2 = 10991660, d1 = 1, d2 = 7 Dl.O(d1) = 33521933 Dl.O(d2) = 9713626,9713629,13837850,9713626,9713629,13837850,9713647,9713652,14118672,9713854,9713857,9281163,9281165,13556600,18996338,25609046,32903764,25192838,18631543,17955010,17955012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10726806, s2 = 10991660, dlinesl.size( ) = 2 s1 = 10726806, s2 = 10991660, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10726806, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 10726948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10726948, s2 = 13246240, int(edited[s2]) = 0 s1 = 10726948, s2 = 13246240, d1 = 45, d2 = 61 Dl.O(d1) = 268229903 Dl.O(d2) = 955986,538888,538890,955991,1680719,2896365,4805703,7029370,4421928,2653063,2653064,4393460,2632529,1534232,1534233,1520070,1520071,2632467,1531431,1531429,2639243,2639244,3511505,5648314,3560206,3560202,2126845,2126842,3568319,3604277,3604278,4403385,5662798,5663648,3591295,2141184,1236492,1236491,2141182,3591294,5765705,8703358,5665536,5665537,8684143,8631636,5612924,3486374,2106766,2082922,1197505,674267,375121,205676,205679,375134,674299,1197588,2083056,3504341,5638351,8666490,12751398,17990605,16838168,11774971,11774972,16838170,255132386,39104821,39104777,39104776,49034260,39104791,39104790,48169316 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149489, s2 = 11527574, int(edited[s2]) = 0 s1 = 14149489, s2 = 11527574, d1 = 21, d2 = 24 Dl.O(d1) = 266552002,233208864 Dl.O(d2) = 265926544,225439648,223180349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149489, s2 = 11527574, dlinesl.size( ) = 26 s1 = 14005385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10727847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10727864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10727864, s2 = 14062978, int(edited[s2]) = 0 s1 = 10727864, s2 = 14062978, d1 = 0, d2 = 10 Dl.O(d1) = 38949886,30363688,22962059,22962060,258185663,86595741,259432835 Dl.O(d2) = 260649970,112230093,112230094,126085549,139456053,127253096,113394709,99393923,85453097,71868116,257813494,47731080,48635417,41931162,37252967,28722048,28722047,37252964,30139823,22754038,16542868,11529653,11529654,16542873,11529759,11529757,16543030,22754246,30140051,38719633,48637524,60030464,270338873,100324276,260632203,141582136,262950090,261910201,144948738,131700682,117873659,114463968,103720173,89605354,89605355,75823268,62859398,51209424,41052403,32258293,32258292,41052402,51209422,48714518,38792825,30208188,22816504,22816505,30208195,38792836,48714525,40110228,40110227,40108784,40108783,39362104,30760968,23338086,17071860,11983340,11983339,17071858,17598155,17598156,17594196,12419025,12419026,17594199,23937804,31428978,31705053,40397082,256529169,23944610,23944609,31435480,40113624,32999144,31434168,31434169,36638987,28163923,28163924,256825279,57862419,70564014,84100351,97974376,111912074,125729965,139068944,151770577,163645161,174480432,263834747,205994814,211076053,205994812,199848888,192578086,263070831,174480432,263834749,264450105,215229137,218650618,221530911,264946656,215229131,264450103,205994814,211076056,215229133,218650611,265353051,218650617,218650618,221530911,264946656,274262653,215229132,215229133,218650611,265353049,226139094,228000951,229636170,265834890,266091999,233569255,234640451,235616866,236506636,237318580,238057877,238729841,239346995,239914901,240439939,240927177,240582389,240070135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10727864, s2 = 14062978, dlinesl.size( ) = 8 s1 = 14062977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062977, s2 = 10727872, int(edited[s2]) = 0 s1 = 14062977, s2 = 10727872, d1 = 15, d2 = 6 Dl.O(d1) = 257813495,78041809,91968675,106166659,120368833,134201582,128475242,114589473,100557449,100557448,260649971 Dl.O(d2) = 259432834,98251708,258185662,28315351,28315350,36811585,46694829,58067415,70785064,84344093,84344095,84344094,70785072,70785071,84344092,98251708,258808894,70785072,257577678,256453096,36811585,46694830,48869608,38949895,30363695,255808398,2980804,2980805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062977, s2 = 10727872, dlinesl.size( ) = 8 s1 = 14159559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11793112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11793112, s2 = 8215001, int(edited[s2]) = 0 s1 = 11793112, s2 = 8215001, d1 = 47, d2 = 74 Dl.O(d1) = 265095310,214757805 Dl.O(d2) = 20250833,20250834,27165351,35269315,39286154,30688823,25479327,25479326,25479335,18877449,268297289,33227829,42188163,52546982,52546981,43889781,43889782,54632720,52719987,52719988,64420313,52546259,42187540,42187539,52546256,64420311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11793112, s2 = 8215001, dlinesl.size( ) = 40 s1 = 14080063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080063, s2 = 11174794, int(edited[s2]) = 0 s1 = 14080063, s2 = 11174794, d1 = 34, d2 = 41 Dl.O(d1) = 255173442,35067089,26983754,20094798,14407466,9909627,9909628,14407468,20094802,17491317,14600972,14600971,20343353,258217457,87115960 Dl.O(d2) = 74204413,61425832,49948234,39930998,31255997,23771470,17442913,17442915,17442967,23771563,23770701,23770548,17443058,17442340,12295376,8304346,5358159,3293711,1937144,1106498,620884,620885,1106502,1937155,3293734,5358208,8304479,12295602,12295639,12295640,17442820,23771340,25269713,24499492,21131785,15182653,15182656,21131790,23836344,21428679,15435810,10671170,10671171,15435815,21428692,24499477,21409310,15420927,15420924,16086260,15108874,10421203,6870188,4312121,2578572,1485239,1485067,840079,473730,473728,840076,1485061,1485148,846945,846947,1494487,1490708,1490712,2579023,4312702,4312690,2579060,2579059,2578493,1485183,1485185,2578495,4312023,6870089,6870088,6869959,6869958,268065915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080063, s2 = 11174794, dlinesl.size( ) = 38 s1 = 10729406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10729406, s2 = 11551234, int(edited[s2]) = 0 s1 = 10729406, s2 = 11551234, d1 = 16, d2 = 6 Dl.O(d1) = 264374224,264374226,221571694 Dl.O(d2) = 232410722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10729406, s2 = 11551234, dlinesl.size( ) = 14 s1 = 14074873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10730415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10731084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10731084, s2 = 11332536, int(edited[s2]) = 0 s1 = 10731084, s2 = 11332536, d1 = 22, d2 = 18 Dl.O(d1) = 266378162 Dl.O(d2) = 262228764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10731084, s2 = 11332536, dlinesl.size( ) = 2 s1 = 10731084, s2 = 11332536, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10731084, Dl.E( ) = 40, 1.91e-05 seconds used appending s1 = 10731117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10731117, s2 = 11244280, int(edited[s2]) = 0 s1 = 10731117, s2 = 11244280, d1 = 7, d2 = 7 Dl.O(d1) = 156263955,156263964,143737949,143737950,156263966,167852297,167852292,167852293,259954810,259954812,167852294,156263960,156263959,257476838,255861660,88472653,102476206,271881757,272278323 Dl.O(d2) = 156263955,156263964,143737949,143737950,156263966,167852297,167852292,167852293,259954810,259954812,167852294,156263960,156263959,257476838,255861660,88472653,102476206,271881757,272278323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10731117, s2 = 11244280, dlinesl.size( ) = 2 s1 = 10731117, s2 = 11244280, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10731117, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 10731141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10731141, s2 = 4119143, int(edited[s2]) = 0 s1 = 10731141, s2 = 4119143, d1 = 39, d2 = 18 Dl.O(d1) = 233937027,274590220,274775981 Dl.O(d2) = 194023723,185786177,176342230,165674877,153898942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10731141, s2 = 4119143, dlinesl.size( ) = 2 s1 = 10731141, s2 = 4119143, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10731141, Dl.E( ) = 44, 2.91e-05 seconds used appending s1 = 10732191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10732514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10732544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10732752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10732845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14081059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14081059, s2 = 10732839, int(edited[s2]) = 0 s1 = 14081059, s2 = 10732839, d1 = 43, d2 = 0 Dl.O(d1) = 259278357 Dl.O(d2) = 12825316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14081059, s2 = 10732839, dlinesl.size( ) = 66 s1 = 10733007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14005703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14005703, s2 = 14005699, int(edited[s2]) = 0 s1 = 14005703, s2 = 14005699, d1 = 49, d2 = 36 Dl.O(d1) = 214705865,218200369,264661704,205259453,205259454,210458289,214705871,218200378,221135327,265502137,223647525,221135320,274324081,221135321,221135322,223647524,221135316,221135315,218200371,218200370,216066958,212077918,207195105,201274845,194241222,194241221,264237127,212077922,214705867 Dl.O(d2) = 256333748,22714478,28787565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14005703, s2 = 14005699, dlinesl.size( ) = 28 s1 = 10734377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11683166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10735336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158931, s2 = 11285570, int(edited[s2]) = 0 s1 = 14158931, s2 = 11285570, d1 = 23, d2 = 9 Dl.O(d1) = 258265024,257656072,49397798,39469294,30865469,255936616,8112683,5197506,3171075,2617762,1511419,1511420,2617770,4369286,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,10560224,13515368,13515365,15255766,10525030,6941411,6941412,10525035,15255779,17165107,12068877,12068876,15266025,10533575,10533576,13374870,10568840,10545296,10545297,8108270,5194821,5194823,8108278,5195527,3170035,3170034,5195521,8109400,5395438,5395437,6974336,6974338,8376895,5406136,3323556,1954788,1954790,2267601,3784847,3784845,2623929,1514370,1514373,2623940,4381445,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791692,3791693,6060023,9252948,13521192,13520046,9251946,9251947,13520049,18956419,25567035,254853390 Dl.O(d2) = 101162128,269874744,260126192,101162131,101162132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158931, s2 = 11285570, dlinesl.size( ) = 8 s1 = 10736645, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10736721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10736721, s2 = 11631920, int(edited[s2]) = 0 s1 = 10736721, s2 = 11631920, d1 = 15, d2 = 28 Dl.O(d1) = 267095059 Dl.O(d2) = 244306136,244306137,267328275,267389231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10736721, s2 = 11631920, dlinesl.size( ) = 24 s1 = 10736975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10737692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155005, s2 = 11636502, int(edited[s2]) = 0 s1 = 14155005, s2 = 11636502, d1 = 1, d2 = 17 Dl.O(d1) = 244737157 Dl.O(d2) = 267522315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155005, s2 = 11636502, dlinesl.size( ) = 26 s1 = 10737925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11683320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11683320, s2 = 10737987, int(edited[s2]) = 0 s1 = 11683320, s2 = 10737987, d1 = 1, d2 = 23 Dl.O(d1) = 201082283 Dl.O(d2) = 265724041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11683320, s2 = 10737987, dlinesl.size( ) = 28 s1 = 10738272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10738373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15026973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15026973, s2 = 11492138, int(edited[s2]) = 0 s1 = 15026973, s2 = 11492138, d1 = 4, d2 = 7 Dl.O(d1) = 230112021 Dl.O(d2) = 264530779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15026973, s2 = 11492138, dlinesl.size( ) = 22 s1 = 10739343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10739343, s2 = 11119248, int(edited[s2]) = 0 s1 = 10739343, s2 = 11119248, d1 = 9, d2 = 19 Dl.O(d1) = 36507896 Dl.O(d2) = 70409708,83935889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10739343, s2 = 11119248, dlinesl.size( ) = 22 s1 = 10740268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11683468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11683468, s2 = 10740267, int(edited[s2]) = 0 s1 = 11683468, s2 = 10740267, d1 = 21, d2 = 23 Dl.O(d1) = 105588320,114943668,100891467,268143818 Dl.O(d2) = 128843557,128843558,142200975,257194320,257194322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11683468, s2 = 10740267, dlinesl.size( ) = 8 s1 = 10740486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10740486, s2 = 11636552, int(edited[s2]) = 0 s1 = 10740486, s2 = 11636552, d1 = 10, d2 = 14 Dl.O(d1) = 245413556,245413557,267459635,267511993,245923539,245807947,245685340,245553862,245553861,245685338,245807949,245923541,246032198,246032203,245923522,245807951,245685342,245553864,245413592,245264957,245264958,267444403,245553796 Dl.O(d2) = 245923505,267473883,245553824,245413552,267411235,245106396,245264917,245413549,267459633,245553850,245685274,245807906,245923505,267473883,245553824,245413552,267411235,245106396,245264917,245413551,245553821,245685294,245685339,245553862,245553861,245685338,245807949,245923541,267487633,267473873,267483004,244936913,267393457,245264897,245413516,245553798,267459643,245807939,245923506,245923508,267473877,267444385,245264900,245264901,245413523,245553803,245685273,245685343,245685302,245685280,245685278,267473871,245553801,245413518,267444383,267444391,267444393,245685304,245807921,245923521,245923524,245923525,275032903,245923529,245807937,245685351,245553878,245413601,245413598,245553872,267459639,245413575,245264941,245106409,267374809,244563937,244356418,267286561,243891432,244132406,244132412,244356425,267354533,244756672,244563926,244356409,267286559,243891429,244132400,244356410,267333353,244356423,244563941,244756693,244936943,245106417,245264952,245413585,245413545,245264915,245264916,245413547,267444397,245413571,245553845,245685322,245807933,245685320,245553841,245413568,245264933,245106403,245106404,245264936,245413566,245413565,245553840,245685318,245807931,245807943,245923534,275029359,245923511,245807915,245685292,267473881,245923513,245807941,245685331,245553851,267459645,245807942,245923532,267533581,246292139,267523328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10740486, s2 = 11636552, dlinesl.size( ) = 2 s1 = 10740486, s2 = 11636552, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10740486, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 14123051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123051, s2 = 14153290, int(edited[s2]) = 0 s1 = 14123051, s2 = 14153290, d1 = 15, d2 = 10 Dl.O(d1) = 186141219,194342853,201367338,207278484,212152871,216134999,219433996,222220689,265578073,265877607,230091330,274600303,233911569,234953966,234953967,234953969,235902862,266600399,237556299,238271625 Dl.O(d2) = 266860149,238922741,239520873,240073226,240585076,267008265,241909082,242286112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123051, s2 = 14153290, dlinesl.size( ) = 12 s1 = 14153289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153289, s2 = 14123052, int(edited[s2]) = 0 s1 = 14153289, s2 = 14123052, d1 = 17, d2 = 20 Dl.O(d1) = 242660934,242314060,267008264,241096993,240625461,240116996,239568486,266860148 Dl.O(d2) = 222420121,219661472,216395050,212456149,207639060,201796705,194856100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153289, s2 = 14123052, dlinesl.size( ) = 12 s1 = 10741894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10743292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10743292, s2 = 11048284, int(edited[s2]) = 0 s1 = 10743292, s2 = 11048284, d1 = 16, d2 = 6 Dl.O(d1) = 272401714,271076552,120197485 Dl.O(d2) = 91802114,77879835,269514041,9288619,6084888,6084887,3825941,3825945,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829241,3978692,6078584,3803459,3803461,6078592,9279737,8683623,8683622,12385376,8683618,8683619,12775237,14132387,9722181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10743292, s2 = 11048284, dlinesl.size( ) = 18 s1 = 14063725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10743329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10743329, s2 = 11308562, int(edited[s2]) = 0 s1 = 10743329, s2 = 11308562, d1 = 30, d2 = 24 Dl.O(d1) = 220746907,218588154 Dl.O(d2) = 263464559,263922328,183978299,183978300,183978301,192442430,199729598,263922326,183978296,174318299,163472876,151591307,138889483,125556353 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10743823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10744341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10744452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14006271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278625, s2 = 11433540, int(edited[s2]) = 0 s1 = 14278625, s2 = 11433540, d1 = 17, d2 = 43 Dl.O(d1) = 87953132 Dl.O(d2) = 263187899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278625, s2 = 11433540, dlinesl.size( ) = 28 s1 = 14064947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14064947, s2 = 14141132, int(edited[s2]) = 0 s1 = 14064947, s2 = 14141132, d1 = 18, d2 = 23 Dl.O(d1) = 271294897,152161340,164040084,174858653 Dl.O(d2) = 184470823,263839655,264163888,200084152,265162245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14064947, s2 = 14141132, dlinesl.size( ) = 12 s1 = 14141131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10746666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10746732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14006423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10747483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10749590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10749590, s2 = 10749578, int(edited[s2]) = 0 s1 = 10749590, s2 = 10749578, d1 = 29, d2 = 36 Dl.O(d1) = 21690409,15650696,267966878,4510101,2710116,1570022,892682,892683,1570024,2710121,4510106,7160863,10832763,255853647,37516223 Dl.O(d2) = 126878871,137516758,260287916,113025799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10749590, s2 = 10749578, dlinesl.size( ) = 38 s1 = 14006523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10750900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10751090, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14168031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168031, s2 = 11135350, int(edited[s2]) = 0 s1 = 14168031, s2 = 11135350, d1 = 22, d2 = 43 Dl.O(d1) = 226778547 Dl.O(d2) = 257283710,59680000 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10751680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10751680, s2 = 11538434, int(edited[s2]) = 0 s1 = 10751680, s2 = 11538434, d1 = 14, d2 = 16 Dl.O(d1) = 236600703 Dl.O(d2) = 265835580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10751680, s2 = 11538434, dlinesl.size( ) = 22 s1 = 10752281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10752431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10752431, s2 = 13003721, int(edited[s2]) = 0 s1 = 10752431, s2 = 13003721, d1 = 7, d2 = 90 Dl.O(d1) = 43885470,43885469 Dl.O(d2) = 91170945,77252430,64105622,64105623,77252432,64105632,52256738,41918488,41918489,52256740,64105636,77252453,91170978,271526821,105392991,105392992,105392994,91170948,91170949,77252451,77252450,89168061,103257999,117387287,131190565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10752431, s2 = 13003721, dlinesl.size( ) = 2 s1 = 10752431, s2 = 13003721, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10752431, Dl.E( ) = 116, 5.39e-05 seconds used appending s1 = 14006641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10753017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10753287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130083, s2 = 10753294, int(edited[s2]) = 0 s1 = 14130083, s2 = 10753294, d1 = 30, d2 = 20 Dl.O(d1) = 263436816,150428727,137388767 Dl.O(d2) = 260994779,150428728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095467, s2 = 3661627, int(edited[s2]) = 0 s1 = 14095467, s2 = 3661627, d1 = 32, d2 = 79 Dl.O(d1) = 258699835 Dl.O(d2) = 263113599,264190606,170499885,170499884,180636505,189539601,180636502,170499882,159157485,262457721,263334357,262672655,262672653,152878241,152878242,164710277,175464748,185005606,185005633,175464776,175464777,185005595,193337119,185005623,175464765,164710289,152878248,140186916,140186915,126838229,126838230,140186924,152878255,164710295,175464777,185005595,193337118,185005622,175464766,164710289,152878248,261673635,126838229,126838230,140186924,152878255,164710296,175464779,175464774,175464755,164710282,261673633,126838224,126838223 Dl.To( xleft[d1] ).size( ) = 4 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105649, s2 = 14144068, int(edited[s2]) = 0 s1 = 14105649, s2 = 14144068, d1 = 0, d2 = 17 Dl.O(d1) = 138809127 Dl.O(d2) = 274176289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105649, s2 = 14144068, dlinesl.size( ) = 18 s1 = 10754976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057779, s2 = 11356162, int(edited[s2]) = 0 s1 = 14057779, s2 = 11356162, d1 = 85, d2 = 43 Dl.O(d1) = 255872696,258182789,255949689,16682654,16682657,22916046,30316432,38903387,48825602,259430331,114553577,262757315,186190108,194382098,264529275,216158097,216158093,265012071,222239201,224629579,224629589,222239211,219454559,219454557,222239207,264836864,212179541,207308533,201401354,201401353,201401352,207308531,212179538,274200681,265263844,274528642,232780716,233924249,234966297,235914557,236778781,266674673,266962777,274944801,267326171,244696155 Dl.O(d2) = 274976028,266511276,274441985,160264009,261154054,259358522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057779, s2 = 11356162, dlinesl.size( ) = 70 s1 = 14089247, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14140017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140017, s2 = 11647374, int(edited[s2]) = 0 s1 = 14140017, s2 = 11647374, d1 = 10, d2 = 0 Dl.O(d1) = 263889326,262699790,175955004,175955005,165252605,165252604,175955006,175955004,165252601,165252602 Dl.O(d2) = 127416157,261704455,259359723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140017, s2 = 11647374, dlinesl.size( ) = 12 s1 = 14161665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10755979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10755979, s2 = 14154750, int(edited[s2]) = 0 s1 = 10755979, s2 = 14154750, d1 = 13, d2 = 21 Dl.O(d1) = 274783783 Dl.O(d2) = 241228806,274959442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10755979, s2 = 14154750, dlinesl.size( ) = 30 s1 = 14154749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10756586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10756586, s2 = 14046978, int(edited[s2]) = 0 s1 = 10756586, s2 = 14046978, d1 = 11, d2 = 41 Dl.O(d1) = 38146798 Dl.O(d2) = 16097986,11181125,7418563,4688020,4688021,7418565,11181129,16097992,22232866,29580643,34105859,34105858,43191509,40735890,31987045,31987046,32020245,29580630,22232857,16097985,16097984,19524724,19524725,26241885,32355123,24739330,24739329,32355121,24739328,24739327,25509471,25509472,33270142,33281507,42261222,51337383,41152056,41152055,51337381,51025666,51025665,41308233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10756586, s2 = 14046978, dlinesl.size( ) = 18 s1 = 14118699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10756763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10757383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10758072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14168060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168060, s2 = 10758071, int(edited[s2]) = 0 s1 = 14168060, s2 = 10758071, d1 = 10, d2 = 8 Dl.O(d1) = 267935166 Dl.O(d2) = 254149340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14168060, s2 = 10758071, dlinesl.size( ) = 2 s1 = 14168060, s2 = 10758071, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14168060, Dl.E( ) = 22, 1.41e-05 seconds used appending s1 = 10758294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14006935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10758446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10758446, s2 = 12762316, int(edited[s2]) = 0 s1 = 10758446, s2 = 12762316, d1 = 17, d2 = 13 Dl.O(d1) = 191450084,192875634,184475546,174863951,262488974,126072519,112216291,98237811,84330493,70771550,58053175,46678377,36792233,36792232,28295444,21088239 Dl.O(d2) = 21088242,15147903,10447224,6887220,4323783,2586830,1491223,844353,844352,1491218,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151113,1151109,2012734,2190753,3661494,5864710,4220852,2523644,2523643,4220847,6736521,10252305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10758446, s2 = 12762316, dlinesl.size( ) = 14 s1 = 14006979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10758923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10758923, s2 = 11240826, int(edited[s2]) = 0 s1 = 10758923, s2 = 11240826, d1 = 9, d2 = 17 Dl.O(d1) = 261444497 Dl.O(d2) = 64554513,64554512,64554511,260282363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10758923, s2 = 11240826, dlinesl.size( ) = 22 s1 = 14036671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058605, s2 = 11308966, int(edited[s2]) = 0 s1 = 14058605, s2 = 11308966, d1 = 7, d2 = 2 Dl.O(d1) = 48034007,49122450,254236016,29555381,29555382,38120557,38120618,38120619,38120555,254236014,59270030,47874366,38118832,29553780,29553781,38118834,268222774,65182651,78466688,81133243,77299796,64150728,52298392,52298391,63244424,51528256,41308150,41308149,49776656 Dl.O(d2) = 25289824,33014969,41957424,52015488,52298404,47032554,47032555,47032551,47032553,41210118,32388876,32388874,41210114,255054624,31323491,23832952,17494205,17494206,23832955,31323496,40001414,46365266,36506973,36506974,28837613,28837615,30066441,27098561,20199059,14493475,9972339,9972340,14493479,255162936,22783880,30172570,28891769,28891770,31845816,31845815,40543972,38010966,29448723,22115136,22115135,256756505,259170969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058605, s2 = 11308966, dlinesl.size( ) = 14 s1 = 10759661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10759661, s2 = 11432572, int(edited[s2]) = 0 s1 = 10759661, s2 = 11432572, d1 = 47, d2 = 71 Dl.O(d1) = 111900402 Dl.O(d2) = 211902395 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10760422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10761058, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10761058, s2 = 11354840, int(edited[s2]) = 0 s1 = 10761058, s2 = 11354840, d1 = 37, d2 = 57 Dl.O(d1) = 52381250,256550308,46337114,46337115,57684300,70376530,77387876,64237156 Dl.O(d2) = 175998282,263141382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10761058, s2 = 11354840, dlinesl.size( ) = 54 s1 = 10761296, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11684620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11684620, s2 = 10761713, int(edited[s2]) = 0 s1 = 11684620, s2 = 10761713, d1 = 11, d2 = 12 Dl.O(d1) = 24039572,28136333,28051396,20882800,14980461,12511811,8476241,8476242,12511812,17690295,17688978 Dl.O(d2) = 5479563,8477091,12511627,12510647,12509945,8474840,5478146,3371056,1983677,1983676,3371054,5478143,8474837,7356636,7356637,11092697,12509958,8474853,8474852,8474745,254409323,3371025,5478093,8474747,12509844,12510062,8474926,8474925,8474857,5478156,3371064,1983681,1133050,635503,352669,352668,635501,1133047,1983674,3371052,254604053,5477745,5477744,8474191,12509100,12509702,11281568,7488929,4732799,2851632,2851633,4732802,7488934,11281579,16228455,17689254,17689252,12511410,8475945,5478865,3371474,3371476,5478870,5477656,3370776,1983522,1132969,1132970,1983514,3370754,4722903,7473198,11257329,12513529,16228456,11281580,11281581,16228458,22386839,29746191,38314906,48224729,59611396,72345515,258102035,59157359,258725767,99421064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11684620, s2 = 10761713, dlinesl.size( ) = 2 s1 = 11684620, s2 = 10761713, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11684620, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 10761712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14050485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050485, s2 = 11385918, int(edited[s2]) = 0 s1 = 14050485, s2 = 11385918, d1 = 14, d2 = 19 Dl.O(d1) = 254546376,11078786,10754065,8358110,8358111,12369248,17537371,22044686,15941738,11062261,7334881,7334880,11062257,11057304,11057303,15934748,22036600,19858354,14227335,14227334,14227377,19858386,22052648,18881969,18881968,25484830,33233582,42193637,52552159,64426120,77594733 Dl.O(d2) = 260873937,261436617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050485, s2 = 11385918, dlinesl.size( ) = 20 s1 = 10762137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10762137, s2 = 7002898, int(edited[s2]) = 0 s1 = 10762137, s2 = 7002898, d1 = 74, d2 = 36 Dl.O(d1) = 210703429,214913824,264424468,263803376,202382291,195530937,195530936 Dl.O(d2) = 186064109,186064108,186064113,176647541,176647540,263571233,194272221,186064109,186064108,186064116,176647543,262269835,261209575,100342632,258791607,258167997,256978291,30151440,30151439,38733227,48654151,60050514,72789178,86385229,100342633,114367482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10762137, s2 = 7002898, dlinesl.size( ) = 2 s1 = 10762137, s2 = 7002898, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10762137, Dl.E( ) = 76, 2.81e-05 seconds used appending s1 = 14033399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10762386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10762386, s2 = 11061342, int(edited[s2]) = 0 s1 = 10762386, s2 = 11061342, d1 = 6, d2 = 10 Dl.O(d1) = 12190353,8220543,5290474,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,15687862,15476517,15476515,20082717,14399011,11750688,7845697,7845698,11750703,12190400,17315019,23630932,17314999,12190370,12190368,16804517,13194629,8994962,5872667,5872668,8994967,13194641,18567738,15213074,15213076,15687955,10860283,10860152,10860151,8749074,8749077,12864820,15076981,15860745,15860744,15860801,21737156,15699566,10868146,7185680,7185679,10868141,15699555,21744420,21744421,21737194,15687917,10860264,10860263,15687909,17315079,17315076,23631018,24586035,23050146,23050148,23630436,17314643,17314644,23630442,31116874,37579564,29032296,29032299,21742052,21742051,29033575,23050452,20082373,14398803,14398804,20082377,26967406,21949649,21949653,27150223,20239676,20239673,15687772,15687771,21736985,20082482,20082480,17057642,17057641,23322790,20082061,14398607,14398611,14398743,14398741,20082279,26967279,29046116,29046118,29046202,21753058,15699575,15699577,21753066,29046218,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,40951438,32171998,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,39759116,49777734,49777735,59408435,59408432,63121579,58563272,47174371,37268444,37268446,40951546,40436020,31741879,24232194,17858709,15860136,15860135,21950449,21950452,29039500,29039499,37587045,41227861,37560153,29013775,29013773,32403659,41227833,37840095,29273741,29273743,37840105,47475765,48503104,40367919,31673323,29533588,22190566,21281997,21281996,23796073,17463741,17285674,17285675,23597882,31081307,31740742,24231148,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741900,40435033,37560634,29014170,29014173,37560641,37560672,31742113,24232348,17858798,12647002,8586948,5579749,5579745,8586931,255201023,24232279,30307579,22908214,255948997,29042246,21749610,15696885,10866186,7184287,7184284,10866172,15682406,10856833,7183755,4525726,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,12645864,12645865,17857029,24229771,29020530,21731621,21731622,21720294,21720295,29006222,21743358,15692510,15692511,17857539,12646593,8586702,5579624,3461881,3461553 Dl.O(d2) = 15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552444,22552440,29018315,31740062,24231028,17857880,12646380,8586519,5579502,3461865,2052937,2052933,3461848,5579567,8586615,12646514,15689973,10861688,10861690,15689981,20990263,20990261,28171106,29780754,22415401,16250470,11297771,11297769,12645805,8586213,8586214,12645812,15695469,10865397,10854513,7176309,7176310,10854519,15678830,21723936,15679341,10854820,10854819,255422979,7178286,7178285,10857543,15683589,21731018,29019804,29029886,29029887,37577082,37583394,37583395,47174447,47174446,50473078,50476548,40439679,39703909,31026746,31026747,31743229,37553585,37553584,39178381,49108214,60210450,48814334,257052650,37586608,37586609,37557897,29011486,21724436,15679118,15679120,21724442,24229873,21747186,21747191,29039522,33198038,30306674,24229832,17857060,17857061,21719997,24231958,17858564,12646878,8586876,8586872,12646864,17858537,21746523,15694790,15694791,11481220,7636143,4830929,2911005,2911003,3461555,3461557,5579134,8585719,12644894,17855312,17855362,12644914,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,21748456,29041071,37588793,37588794,47493401,256892579,37559250,29025737,21735830,255858125,37572624,47465552,37558385,29012000,21724857,21724858,21731737,15684095,15684094,21731735,29020647,37567212,256893987,255858753,15691313,15690486,10862072,7181575,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,21734575,21734572,29024318,21752456,15699141,15699143,21732964,29019183,22675662,22675661,30051576,31751694,29025781,21735777,21735779,29025788,37559551,29013225,29012450,21725216,15679598,15679600,21725224,21741537,21741538,29032911,37580170,37586432,37586433,29042600,21749930,15697160,15690810,10862295,7181689,7181688,10862289,10702401,7070672,7070671,10702397,10859422,7179477,4522653,4522654,4522521,4522520,7179205,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861491,7636382,4831048,4831044,4831051,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,15678782,15678784,21723874,21724466,21724470,21723888,15679267,15679263,21723513,15678578,15678579,21723522,21723718,29010190,37556383,37589159,37568624,37557752,29011357,29011355,21743510,15692652,10863608,7182620,7182618,10863598,10440394,10440392,6882702,6882704,10440410,15137643,21073940,28278105,21724272,21724275,16901326,16901323,21739009,21739010,29029846,29029845,37577036,29046943,21753623,21753624,29046949,29038722,21746469,15694759,10864943,10854710,7176432,4520657,2717200,1574478,1574482,2717144,2717141,4520552,7176256,10854413,15675710,21115659,15693487,15692976,15692973,21743949,21921604,15836532,10974310,7263793,4580858,4580860,7263802,10974333,15691434,21742027,15702532,10870134,10870132,15702528,15684972,15684971,21733047,21730363,21730364,15702561,15702563,21757249,29051471,268621409,29019097,37565676,37569003,29022541,21733294,15689609,10861472,10861470,7636382,4831048,4831044,4831051,4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21749377,21749376,256640444,10884594,7197132,7197133,255054025,9895357,7239675,7205730,6501888,4074146,4074147,6501891,9894133,11333687,14492665,14361586,10894004,7204715,4971806,4971808,255955599,31551633,24047791,24047792,31551635,31551632,24047789,17694839,254864299,5480642,3372535,1984547,254274601,3372675,1984641,1984640,3372693,5480921,8479194,11313908,11313905,16271051,255913231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10762386, s2 = 11061342, dlinesl.size( ) = 2 s1 = 10762386, s2 = 11061342, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10762386, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 10762502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14023073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14023073, s2 = 14129344, int(edited[s2]) = 0 s1 = 14023073, s2 = 14129344, d1 = 0, d2 = 20 Dl.O(d1) = 3943056 Dl.O(d2) = 43172354,269564729,259098191,107613562,121985658,135910015,149131498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14023073, s2 = 14129344, dlinesl.size( ) = 14 s1 = 14129343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10762772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10762954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10762954, s2 = 8431462, int(edited[s2]) = 0 s1 = 10762954, s2 = 8431462, d1 = 5, d2 = 4 Dl.O(d1) = 4386413,2627699,1517057,860100,485567,273153,273151,485622,860241,1084757,609224,609222,1084751,1900362,3239099,3026734,1760845,1760846,3026738,3024973,3024975,3238710,5005832,3026446,3026444,5005824,4999436,3020934,1755811,999186,999188,1755818,1755834,1755833,1755872,1755873,3021014,4999522,3028040,3025196,1759450,1001892,564447,564446,1001888,1759444,1759483,3025227,5004516,7880914,7874748,4999541,3021026,3021025,4999535,7874743,11792519,12185430,8216103,7880610,5004197,5004198,7880506,5006254,5003914,5003915,7880163,7880919,5286778,5286776,5004454,5004455,7880839,7874670,4999463,4999465,3027317,3027314,3020966,1755838,999208,562795,562796,999212,1755849,1759191,1759190,1759460,1001898,564451,316100,316101,564454,1001906,1759476,3025213,5004499,5005462,3026136,1760410,1755878,1755877,3021022,4999533,5003735,5005271,7879729,5004206,3024897,3024899,3026100,5004556,5004555,5003158,5003157,3025230,1760415,1758160,1001514,1001513,1758956,1758957,3020958,1758000,1757999,1003387,1003386,1001245,1001246,999200,999199,1001018,564940,316394,316393,564933,1001500,564437,316096,316097,564441,1001882,1002601,1760310,3025151,5004446,3173355,3025275,3025274,5004575,7874738,5003729,4998972,3238456,3024907,1759197,1001683,1001682,1759196,3024904,3024055,1758483,1758481,3023660,1758165,1000910,564218,315971,315970,564212,563783,563781,1000773,1758005,1001253,564067,564053,564054,563930,315825,315824,174954,174955,316405,316437,565009,998854,562578,316368,316372,564896,1002611,1000552,1000551,1060044,1060043,1759514,1899904,1899903,1755514,1755438,998914,998911,1755429,1758079,1000995,564357,564356,1001145,563998,563995,1001136,1000924,563873,316127,174810,96120,96119,174606,315742,562866,563947,315897,174700,96052,52980,29812,29809,52970,53036,29838,29839,53043,96195,174978,316384,174949,174950,316388,564923,1002229,1002470,1002466,1760167,3021620,3020590,1755523,998968,998932,562623,562626,998942,1755477,1755712,1000730,1000731,1757946,1757876,1000677,1000594,563673,315681,174578,95987,52946,29798,29800,52952,95866,174332,315228,562895,562649,315145,315148,562740,999107,562910,562909,998881,998883,1755383,1002260,564690,316234,174866,96136,96135,174863,316230,564679,1002245,1759914,3025646,5004928,3027786,3027787,3027797,3024094,3024093,1759922,1759923,3020300,3023251,1757713,1000545,563726,563727,1000683,1000497,563615,315646,174556,174551,174552,315215,315216,562873,562887,562746,315152,174292,95849,95848,174289,315144,174346,174342,315249,562939,999370,564605,564606,316243,174871,174870,316241,564703,1002289,1759960,3025651,3027784,1761689,1003596,1003595,1761687,3027782,3021497,1756330,999555,999556,1756335,3021505,5000052,5002534,3025472,3025474,1761054,1761056,3023232,3023231,5002385,7878533,7883699,5006822,5006459,5006460,4999956,3021436,3021437,4999961,7874976,4999746,3021230,1756063,999358,999357,1756062,1759953,1002282,1002264,564693,316238,316239,564697,1002277,1759754,3025526,5004736,5004737,7881078,11800144,7885046,7885045,11791695,7874036,5000032,5000033,3021501,3021502,5000048,3025487,1759712,1002075,1002074,1759704,3025480,5004775,7873933,4998780,3027258,1761343,1761344,3026917,1761028,1761027,3026913,5006458,7883259,7874444,4999251,4999250,3021214,1756055,1756058,3021222,1757001,1757002,1759661,1756407,1756408,1002269,1002268,1759943,3025675,5004729,5004728,7876042,7876041,7874429,7874430,7874421,4999234,4999233,7874417,11792162,16859838,11800153,7881093,5004763,3025459,1759696,1759697,3020721,3020722,4999176,5002054,5002053,5006820,7883695,11797077,7878316,5002198,5002197,7878312,11791515,11794379,7876131,7876132,11794384,11792806,7874968,7874967,11792151,7874402,4999218,3020780,1755704,1755703,3020778,4999217,7874400,11792146,16859833,23119518,23123479,16863613,11795534,7877148,7877149,7877506,5001642,3027835,3027836,5001406,3022543,3022542,5001027,3022324,3022325,3027894,3028142,3022953,3022952,5002062,7876996,5001270,3022447,3022448,5001241,5001242,4999833,4999832,5004589,5004590,5007755,5007757,7877360,5001518,5001517,5000640,5000639,5001594,3026854,1760960,254373669,254812013,16871997,23132235,30550249,256464119,23123075,268098921,7876796,7876795,11795081,16863155,255517767,256464127,49070645,39142771,30544169,255517905,16865736,255963049,30541809,30541808,268657537,16860598,23120432,268402436,5001445,5001446,7877255,11795641,16863194,16863597,11795514,11795513,16863595,16863343,11795294,11795292,16863341,16875157,16875158,16875800,16875124,16875123,23135565,23135577,30542201,23123790,23123791,23125653,16865611,11797181,11797182,11806067,11806066,16875802,23135126,268083420,30553504,39151615,30553899,23136066,23136065,23123681,16863908,16863906,16865729,16863125,11795036,7876752,7876753,11795038,16863128,23123057,30539312,23120413,16860582,16860583,23120416,30539315,30539333,30539332,30553520,30553579,23135402,16874908,16874906,23135367,23135344,23135345,23135052,23135053,23135464,16874967,11805197,11805196,16874573,11804904,7884665,5007431,5007430,7884662,7884688,7884689,11804947,16874633,23132154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Dl.O(d2) = 272763412,161908154,260362370,122356550,107929697,93491842,258482335,257864797,43394582,34294704,26418464,19681975,14110279,9706383,254464231,2400927,4006306,6384711,9706390,14110286,19681982,18389820,13062390,8901126,5808387,3623006,3623007,5808392,8901136,13062410,12027581,10486970,10486971,12026298,15408362,10650388,10650389,15204054,18391151,18391152,24891354,32536601,39420898,39420899,41384861,32534320,27041100,27041099,35128238,30815024,23385809,23385810,19681836,14110145,9706241,6384602,4006229,4006230,6384604,9706243,14110147,19681840,256189703,257269949,65988173,259112303,107929554,122356421,136341291,126174312,112313510,98330380,84420988,70863691,58149542,46782023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10762954, s2 = 8431462, dlinesl.size( ) = 2 s1 = 10762954, s2 = 8431462, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10762954, Dl.E( ) = 8, 1e-05 seconds used appending s1 = 10763017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14071201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14296231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14296231, s2 = 11406594, int(edited[s2]) = 0 s1 = 14296231, s2 = 11406594, d1 = 38, d2 = 43 Dl.O(d1) = 1667953,2873844,4767297,7536395,10907082,10907084,7414084,7414081,7536379,10907098,7213653,7213652,4825686,4825687,7536805,7536804,7293009,4599242,4599241,4718909,2842935,2842934,4718904,7467206,11249009,10759939,7503952,7503953,11302559,11015416,7292149,4598489,2766487,1603740,911969,911968,1603736,2766477,4598468,7292126,11015386,15213926,10494503,6920145,4347412,4347416,6920150,4602352,2769268,2766958,1604015,1604014,1502549,851734,851735,1502555,2603720,1603933,1603935,1605580,2769222,2769232,4602307,4602072,2769038,1605441,913013,515124,289063,159986,88067,48473,27101,27102,48475,254078441,254163815,2769140,4602205,7296808 Dl.O(d2) = 29327212,21997216,255878523,255878525,37895620,42360854,268496725,13554818,12042051,8095489,6120634,6120635,9344508,12618819,13588197,13588199,15201283,15201284,16267099,16267102,14330389,9844232,6465493,4051005,4051006,6465496,9844242,14330411,20009726,25710188,255683895,13641664,13641666,19106442,13673516,13616547,9323729,6107429,3821397,3821398,6107432,9323738,13616571,19073168,19073226,19073227,25698913,33471841,256951932,36958780,28458575,26626882,19815924,19815925,26626883,33555719,33555720,30841620,23411821,23411822,30841622,256667175,38809223,40457409,31762946,24251109,17873713,269887339,262369929,178239900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14296231, s2 = 11406594, dlinesl.size( ) = 44 s1 = 10763920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10763920, s2 = 14141660, int(edited[s2]) = 0 s1 = 10763920, s2 = 14141660, d1 = 24, d2 = 0 Dl.O(d1) = 266444878 Dl.O(d2) = 222003914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10763920, s2 = 14141660, dlinesl.size( ) = 20 s1 = 14141659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141659, s2 = 10763921, int(edited[s2]) = 0 s1 = 14141659, s2 = 10763921, d1 = 4, d2 = 25 Dl.O(d1) = 226867163 Dl.O(d2) = 266444879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141659, s2 = 10763921, dlinesl.size( ) = 20 s1 = 14019445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14019445, s2 = 11136004, int(edited[s2]) = 0 s1 = 14019445, s2 = 11136004, d1 = 0, d2 = 47 Dl.O(d1) = 2129321,3572250,5736835 Dl.O(d2) = 24720400,32336585,41151821,51337155,63018186,69360462,56784565,55955678,44994065,35523845,27365435,20406790,14645061,14645057,14700869,20489453,18572741,18572740,20508168,20508382,20508257,14712845,14712847,20508260,27518373,35752677,45320453,257954491,56647267,56647271,69207262,58453067,58453066,47076799,37182452,28662302,21417165,21417164,28662297,37182438,47076772,255311492,57436217,254961422,255723568,82379726,82450279,96443659,84905538,71333039,68251651,68251650,77684157,68249427,56279876,56279872,68777282,68765724,56269703,56269704,64490973,52603425,52603426,45271332,45271328,52603335,64490819,64490450,64489969,52602835,52602832,64489963,77665122,91590157,91590158,105804539,109704909,256718366,111460896,97505957,83620904,70094199,254961424,95925823,256718364,55902917,68344820,81869433,81362594,258488190,64631715,64631713,77815312,82499095,68977614,56453281,45955819,45955820,255196450,50393189,40357955,31662613,24151827,24151826,31662611,35952396,27808526,27808527,36194654,45955816,45290262,35732400,35732399,45290259,56339571,68845239,82370262,83387661,74674740,61928375,52222587,52222586,64063929,64063949,52222609,41891258,41891257,52222606,64063927,52222584,41891238,32955874,25235928,25235927,268117750,28534278,21311728,21311727,28534276,37032154,46801268,254866464,28534279,21311729,21311730,28534282,31603641,254128718,12552969,12552970,10411532,10411534,15096031,16885951,12590525,12590524,17780839,24147447,18932464,17738540,12550962,8509865,5510204,5339343,5339345,5339443,3282020,3275346,3275348,5328550,4868650,4868654,5328748,3275424,3275427,5328759,267767294,8550796,8550795,12600266,17800146,24167786,24198650,24198651,31566085,31664382,26650809,19837317,19837318,26650811,24194051,17824797,17824796,24194049,24087707,17730999,17730998,12552346,12552345,17740410,16467973,16467972,17730189,12543895,12543892,17730184,17788994,23711437,17387900,12252982,12252983,17387901,17723193,17723192,24080345,25366419,18782786,18782785,24149653,267847786,30566585,23149208,16888503,16888502,255196180,31616265,40304481,42125579,49305041,42047945,42047944,33099532,25366165,25366164,33099083,42047381,42049272,33100647,33100648,42049274,42049391,42047192,33098930,25366296,25366297,33099857,33099856,42048351,42049270,42049269,42047602,33099257,25365308,25365307,33099253,42047593,52391507,52391189,52391190,52390867,42046866,33098667,33098666,42046863,42048475,33099957,33099956,42048472,38830671,38830670,30247227,22852805,16627657,11598315,11598314,16627654,22852800,18782780,18782104,255658819,17670159,12495432,8463740,254862909,17670150,24018979,31520409,40206366,42048091,34104223,34104221,43189920,53701648,269205814,64246628,52390829,42046824,42046825,52390831,64246630,61917652,52393104,42049332,42048740,42048739,33100294,33100293,42048879,52392705,45357276,35775595,255769605,18782263,13377136,9143141,5983179,5983178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10765160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074445, s2 = 11186662, int(edited[s2]) = 0 s1 = 14074445, s2 = 11186662, d1 = 47, d2 = 50 Dl.O(d1) = 59051370,58407198,52006208,41693912,41693911,256697496,48803668,38881651,38881650,48803666,38882130,33463729,25691386,19067024,13612148,13612150,19067035,25691403,33463751,42456869,48803025,42456976,33463864,33463865,42456803,33463675,25691357,19067009,19067010,25691361,33463682,42456811,38881450,38881449,33463739,33463740,33463814,30296260,30296262,30294355,25691408,25691409,33463762,33463835,33463833,38881274,38881275,38881655,48803037,48802613,38880390,30294561,22896039,22896040,24602790,25691431,19067055,13612159,13612158,19067053,25691426,33463784,38881252,48803318,38881424,30295628,30295070,22896489,22896490,30295073,25691499,19067105,13612192,13612191,19067101,25691492,30295657,22897040,16666788,16666787,22897037,30295649,33463812,33463710,25691376,25691377,33463714,38881525,42456833 Dl.O(d2) = 43925073,54667595,66924110,259135763,79237495,65873228,65873229,79237497,259030282,77542784,269503653,256642509,25436927,33181666,42140948,257197768,64374055,55336039,55336040,52499689,42140972,33181686,33181687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074445, s2 = 11186662, dlinesl.size( ) = 18 s1 = 14007273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10765457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10765849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15166159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10767542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10768342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077409, s2 = 11361274, int(edited[s2]) = 0 s1 = 14077409, s2 = 11361274, d1 = 27, d2 = 36 Dl.O(d1) = 261322457 Dl.O(d2) = 261755451,100324275,100324274,86364446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077409, s2 = 11361274, dlinesl.size( ) = 30 s1 = 14155481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155481, s2 = 10768883, int(edited[s2]) = 0 s1 = 14155481, s2 = 10768883, d1 = 0, d2 = 33 Dl.O(d1) = 245325988,267385144 Dl.O(d2) = 267506808,267529030,275043904,246746264,267573377,246535264,246456411,246372945,246284523,267548465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155481, s2 = 10768883, dlinesl.size( ) = 38 s1 = 10769320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10769570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10769570, s2 = 14536022, int(edited[s2]) = 0 s1 = 10769570, s2 = 14536022, d1 = 51, d2 = 169 Dl.O(d1) = 260319047 Dl.O(d2) = 47713556,258097804,71108908,59894493,58392139,48500975,268934612,38585912,30013573,30013574,38585913,48500786,48501247,48499966,48499965,59894012,51333000,41147741,32332632,32332633,41147744,38585242,38585241,39921346,39921345,49939134,61417066,59894748,52720253,42333108,256016194,59994033,59994034,59894495,48500456,38585587,38585586,48500464,59894497,48602181,38686109,38686108,48602180,48500708,48500707,48602177,48602178,48500537,257548353,38585212,38585210,48500041,59894067,72636284,59894679,59894680,49939112,39921318,38598898,268502988,22652886,30026066,38598896,48513669,48500056,257548355,71529751,71529750,72367374,256321058,38585825,30013487,22641671,22641673,30013491,38585829,48500049,49854575,61337351,59894866,48500948,48500947,48501993,48501992,59895764,72637614,72636290,59894080,59894078,268918276,256861060,38585215,48500047,49829736,49854577,42269112,33288903,25528390,25528389,33288901,42269110,52655043,47020959,37133461,28621286,28621287,37133463,47020963,48500716,48500713,38585820,38585821,33276603,33276602,42256275,52641774,48500945,48346313,48346314,48500711,38585817,38585818,42256029,42256030,42256027,42256026,52641437,58148177,256366380,28405477,268203281,15222705,21184364,28405484,36902877,256400599,255465529,11250630,267891269,4719625,7468307,11250634,255465531,29683613,29683606,29683605,38248490,48157604,58148192,257421507,36902871,257421505,269340755,256400595,29683600,256942613,59544464,48157612,48157613,59544458,257522415,269340757,72278623,72278642,59544480,48157608,48157607,268636245,29683609,38248495,257522423,59544455,59544454,258755079,72278643,72278644,85870069,99822823,99822824,113837371,127706237,260597756,261717707,259997805,85870058,72278630,72278632,85870062,259997807,113308375,270828730,86924415,86924417,86924414,269841431,49172913,258827605,85359546,71769587,71769588,270354107,60571813,49172915,39247731,39247732,49172918,60571814,73314656,86924419,260068113,271323256,258714012,73314658,60571820,49172921,39247734,30651945,30651946,39247736,49172923,60199043,72938112,258714016,48802260,255864380,30294126,38880011,256900144,72689872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10769570, s2 = 14536022, dlinesl.size( ) = 12 s1 = 14143041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143041, s2 = 11297402, int(edited[s2]) = 0 s1 = 14143041, s2 = 11297402, d1 = 12, d2 = 15 Dl.O(d1) = 266374451,231539112,265881428,226739025,224669261,265223051,274002123,263938905,262765555,142074392,142074393,261232507,128714862,142074394,154713691,273143645,263938907 Dl.O(d2) = 201524066,263587879,262765557,263197997,262290659,154713689,154713694,272236143,100762314,86781551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143041, s2 = 11297402, dlinesl.size( ) = 16 s1 = 14113145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113145, s2 = 11001600, int(edited[s2]) = 0 s1 = 14113145, s2 = 11001600, d1 = 60, d2 = 88 Dl.O(d1) = 262035268 Dl.O(d2) = 41161319,32346759,268278363,2131373,2131375,3576100,2709092,2709096,2263073,1313021,1313022 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 10769879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10769879, s2 = 11520242, int(edited[s2]) = 0 s1 = 10769879, s2 = 11520242, d1 = 17, d2 = 19 Dl.O(d1) = 266250949 Dl.O(d2) = 274475293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10769879, s2 = 11520242, dlinesl.size( ) = 20 s1 = 10770318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10770318, s2 = 14007482, int(edited[s2]) = 0 s1 = 10770318, s2 = 14007482, d1 = 2, d2 = 7 Dl.O(d1) = 72696593,59958599,51966362,51966361,48371140,48371141,51878135,41585053,32687258,32687257,36971690,28473505,28473503,36971684,46850489,46850477,36971675,28473495,28473494,36971670,46850468,51670574,41428916,32568807,32568808,41428921,51670586,59753632,59753633,51815109,51815108,63602538,70561458,57859762,46503485,36636226,28161420,28161419,36636222,46503475,57859750,59753669,48371245,38469645,38469639,48371231,58422044,269518435,42521221,33520910,33520909,42521220,52932088,258359375,257581566,38469532,38469533,42521077,46503443,36636203,33335053,25575350,25575349,33335048,42315660,52702966,48371125,42520876,33520728,33520730,39899402,36636190,28161404,28161403,22554687,16377368,16377367,22554681,29911751,28134193,25741050,19107553,19107555,25741056,25740933,25740932,25740921,19107521,19107523,25740970,33520790,33520802,42521086,42521102,49189325,39263303,30667609,30667608,39263297,42521055,42521052,40105651,38469520,33520683,33520682,257814513,64857767,52932031,52932032,258103518,42521062,42521063,52931976,52931995,42521091,42521089,40105678,31425817,23935000,23935001,31425819,39263278,30667597,28161429,20981758,15069675,15069676,20981762,25740908,25740907,33520696,42520929,42521139,33520846,25741007,25741008,33520855,42520990,42520991,52931931,57859779,50125876,40105689,40105691,49190350,49189352,42521241,33520921,33520920,42521236,40257124,33520753,33520752,25741026,19107538,19107536,25741022,33520881,30667568,23252064,23252065,23252093,16989126,11903808,11903810,16989133,12417443,12417444,17591948,23935018,31425843,31425790,23934983,23934982,31425785,31425794,31425795,33520688,28006251,28006249,36464885,33520869,25741016,25741015,33520867,36464977,36464978,46317808,46317582,46317584,40105662,40105661,50125842,57661834,46317577,36464774,36464773,39263283,31569634,31569633,33520642,33520641,33520883,42521190,42521182,36464943,36464944,42521177,39263321,30667624,23252086,20841784,20841783,23252105,23935005,23935010,23935009,31425833,39121590,36464973,28006297,28006296,36464971,36464998,36464912,28006261,20841790,20841789,28006259,36464906,42521156,42521154,46317588,36464776,36464778,46317589,57661849,57662073,60589595,60589594,60589634,49189333,39263311,39263310,49189331,57661796,46317535,40105673,40105672,50125857,61605913,50278479,50278481,46317781,46317779,57661974,49189343,49189342,49189279,42332891,33351353,28006202,28006203,36464808,36464988,36464953,28006283,20841801,20841802,28006287,28006313,20841814,14942227,10276911,6753815,4231969,4231970,6753819,10276920,14942240,20841840,28006360,36465069,46317899,46317846,36465061,36465062,46317896,57661968,57661969,61605924,57661990,57661991,57661792,46317530,46317529,57661788,49189371,49189369,57661823,46317711,36464861,28006236,28006235,36464857,46317707,38389136,29816276,29816274,38389134,48299653,57662015,46317775,36464937,28006275,20841798,20841797,28006273,28006300,20841807,14942224,14942217,14942218,20841779,28006243,36464875,46317551,46317552,57661818,46317836,36465007,31425822,31425823,40105680,46317720,46317719,57661982,57662051,258620593,57661916,46317677,36464836,28006221,28006220,28006332,28006331,36465028,46317860,48299651,38389131,38389129,48299647,59686247,60636788,52932114,46317768,36464931,28006270,28006269,36464925,46317761,41429162,41429163,51670767,57661890,46317626,36464793,36464794,46317628,57661868,46317608,46317609,53836066,43311582,34213484,34213483,36464845,46317690,57661956,57661964,57662106,46317886,36465051,36465050,46317842,57661946,57661945,48779864,38859633,38859634,46317660,46317659,57661923,49236143,39309419,39309418,49236137,50278248,40257109,40257110,50278253,41429148,41429150,41429187,41429192,51670784,51670821,41429226,41429173,32569011,32569010,41429170,51670775,46317603,36464782,36464781,46317598,47505242,47505240,51670755,51670843,53836055,61758273,50278347,40257203,40257204,31569918,24064287,17708853,255581449,31569915,40257402,40257154,31569645,24064091,24064090,31569641,269001613,61758238,61758354,50278552,40257490,40257491,41422545,41422546,38989345,31569694,24064127,24064129,24064339,17708888,12526753,12526752,17708768,12526684,8488372,5489379,5489378,8488369,12526680,17708762,24064138,31569712,31570000,40257344,40257343,31569962,24064326,24064325,256539589,24064238,17708823,12526712,8488385,8488386,12526717,12526750,8488404,5489387,5489388,8488362,8488363,12526670,17708734,24064086,24064196,31569801,32526072,41375302,40257434,40257433,50278515,50278549,256017604,32562772,24911097,18405843,13073513,13073512,18405840,24911093,32562762,31569655,24064096,18405734,13073450,8908641,8908640,13073442,18405723,17708776,12526688,12526689,12526759,12526761,17708900,24064320,17708873,17708874,24064324,31569958,31569883,24064251,17708852,12526729,8488389,8488391,255191805,24064284,31569913,40257399,40257301,40257302,41429529,32569317,256605071,32526017,256602221,24882725,18384355,18384356,24064162,256539583,32562746,24911084,24911085,31569874,40257364,40257180,40257179,32526075,24882531,255565686,24882320,24882406,24882407,32525991,41375244,41375250,40257461,31569980,31569981,24882435,18384083,18384086,18405796,18405794,18384090,18384093,24882447,24882461,24882460,18384163,18384164,24882510,24916462,32526286,24882730,18384363,13058466,13058465,13073496,18384340,18383993,13058185,13058184,18383988,24882328,18405820,13073502,13073501,18405819,24882710,24882711,256602215,24882361,24882360,24882442,18384088,254899739,8898166,5806480,5806479,8898292,13058467,18384366,18384080,13058253,8898165,5806407,5806406,8898159,13058244,13058492,8898306,8898307,13058494,13073566,18384289,18384288,18405805,13073488,13073487,18405800,18405885,13073550,13073551,18384117,13058273,8898186,5806413,5806412,8898177,13058265,18384041,24882378,24911113,24882667,18384347,18384346,18405848,18384381,13058477,8898298,5806485,254292409,1251253,1251252,2162710,3621726,5806482,8898122,8898124,13058195,18384005,24882341,256602213,24882652,24882713,24882712,256089441,24882369,18405817,13073500,13073499,268016877,8898265,8898479,5806606,3621791,3621789,3621702,2162695,1251240,711210,401360,401361,711213,1251251,2162707,2165858,3626526,5813634,8908826,13073699,13073605,8908739,5813581,3626497,2165844,2165843,3626494,5813572,5806473,3621720,3621719,5806469,8898280,8910686,5814814,3627214,3627215,5806398,5806397,8898144,13058219,18384034,13076517,13073563,13058370,13058371,13058382,13058428,13058429,18384308,18384313,18405993,13073662,8908787,5813612,3626509,3626508,5813606,3626539,2165866,1253483,712865,712864,1253479,2165863,3626535,5813651,8908853,13073747,13058285,8898192,5813575,5813576,8908722,8908724,13058394,8898250,8898251,13058397,13058440,18384325,13058702,13058703,13073653,8908781,8908782,13073656,18405942,13073615,8908744,5813586,5813587,8908746,8908837,13073717,18406040,18406069,13073750,8908855,267925479,2166265,1253723,1253724,2166267,3627220,5814824,8908813,5813626,3626521,2165854,2165853,3626519,5813622,8908802,13073677,18384323,13076445,8910719,8910721,13076450,13073741,8908847,8908846,13073735,8908844,8908842,13073731,18405957,13073629,8908761,5813593,5813592,8908758,5814775,5814774,8898318,8898319,13058499,18384286,18384285,13073546,13058675,13058676,8910766,5814869,3627248,2166280,1253728,712999,713000,1253731,2166286,3627253,5814878,8898466,5806597,3621785,3621786,3626512,5813616,8908796,8910714,8910715,13076434,8910726,5814844,5814846,8910732,13076464,18409783,18409833,18406044,13073724,13073726,18406049,18405949,13073622,13073620,8908751,8908655,255234791,13076392,8910668,5814808,3627210,3627209,5814803,8910663,13076388,18409610,13076325,8910622,8910621,13076321,18409606,24911119,24911118,24882546,268284219,13076346,8910636,5814790,5814789,8910634,13076342,13076499,13076498,18409825,24916333,32569081,32568987,24916173,18409688,13076375,13076376,18409693,24916177,32568992,32569147,24916294,24916296,18409813,18409814,24916280,24916279,32569127,41376002,32526731,32526732,32526127,32526126,41375348,41375327,32526099,32526100,32568926,24916130,24916129,32568916,24916120,18409654,18409655,24916125,24916335,32568850,24916081,18409622,13076334,8910626,8910627,13076337,13076368,13076369,18409677,24916148,32568950,41429088,41429121,32568984,24916170,24916157,24916158,32568964,41429099,51670731,258359393,63323912,51600298,51600299,51664537,51664536,41429011,32568876,24916097,24916098,24916142,24916141,256605007,51670697,41429107,32568969,32568970,41429110,51670737,49349587,39420053,30814870,23385688,17114411,12026812,12026811,17114407,23385684,30814863,39420041,41429056,32568918,256605005,41428959,32568832,32568834,41375321,32526097,32526096,41375320,51600291,41429094,41429091,41429090,41428947,41428948,51670611,63413405,51670674,51670675,63407892,51670700,51670699,51670662,41429008,41429007,51432098,51432097,51670669,51670712,51670672,49349541,39420013,30814845,30814846,39420016,42765063,42765064,53214854,49349576,49349553,39420027,30814853,30814852,39420025,49349548,60752471,73501447,63413481,63413482,76456848,63413412,61605428,50125490,50125488,51670596,41429068,41429069,51670677,60498618,73245554,63324076,63324077,63129718,51432090,51432091,63129724,73501422,87120204,87120203,76355288,63323924,51600309,51600307,63323922,63129584,51431982,41233919,41233920,41233929,269044713,257148621,258348923,63129694,258348917,258348919,41234004,269044715,63129729,259431108,49349526,60752447,51432120,41234021,41233936,32526119,32526120,41375342,41233917,32409037,32409038,32409034,32409035,40282471,32409089,32409090,41233999,51431980,258348915,63129684,76135608,76135638,63129714,51432089,257735361,64532325,55306388,257909925,63129617,51432138,41234034,32409105,32409104,41234032,51432134,52633505,42248279,33268951,25508269,18897806,13466132,254651699,254651701,13466134,256132165,42248280,52633506,64532353,77713317,91640246,260280863,133904000,272704311,170823125,170823124 Dl.O(d2) = 273926965,204012181,204012182,264632105,213917524,217582910,220642000,223244197,225494579,227452653,229165600,230678949,232027360,233241840,232305197,230988870,229520098,227866692,225984479,223827085,221338543,218433511,214975201,210770379,205622471,205622470,210770378,214975200,218433509,221338541,223827084,225984472,223827088,221338544,218433513,218433514,221338538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10770318, s2 = 14007482, dlinesl.size( ) = 2 s1 = 10770318, s2 = 14007482, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10770318, Dl.E( ) = 8, 1.29e-05 seconds used appending s1 = 14007481, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10770425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14076879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14076879, s2 = 15088307, int(edited[s2]) = 0 s1 = 14076879, s2 = 15088307, d1 = 11, d2 = 11 Dl.O(d1) = 269832216,3295657,5361076,4384195,4384194,6978196,8266687,8255590,5325756,3273458,3273457,5325754,3406295,254411877,3391817,5502223,3425148,2023571,254279293,2059557,3407700,5489482,3380176,3380177,2022826,1157620,649486,360292,360291,649485,1157603,2022792,2029483,2029486,1998705,1998703,254280845,2035818,3440343,5555975,6043098,8560407,5557410,3441890,2037078,1167032,1145798,642737,642735,750620,1315187,2266976,1315079,750556,426549,426548,750555,1315074,1997209,3389680,5500019,8498501,8485706,5486575,3377400,2047110,2047109,3454246,5371090,3422429,2021589,1156808,649025,360045,197146,107542,107543,197150,360053,254138299,2021628,3405763,3405762,3407735,254190933,1155841,2020096,3420598,254413741,2010131,1149533,644856,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,1100838,650155,650154,254191305,3426548,254611235,268447904,260147733,272193860,37656812,47562886,58945758,51251814,41078075,41078076,32273102,32273101,41078062,51251795,62919891,75894258,62919923,62919922,75894290,87045051,74556124,61772548,59725957,59725958,49279186,39352535,255978381,17063286,17063285,23329911,30752198,39352531,49279180,50292752,40271477,31584362,31584363,38437941,31584399,31584397,257088223,258280241,88171036,102161813,260738399,116489305,102395041,260153645,106677176,113368897,99368359,85427066,74760766,61960734,61960735,74760768,88261746,88261745,88394544,102395048,116489313,116489285,102395012,88394588,74760764,61960729,50464838,50464837,61960727,74760761,74760781,74760780,88394610,102395117,260153643,258914599,258914601,62990902,51312411,51312410,62990900,74556121,61772543,61772544,258627462,88171026,102161803,102161806,116223020,115964064,101920136,101920137,102395110,101040707,87045027,73427663,60680031,60680032,269763374,40327400,40327401,50354577,61838912,74631329,88261763,90468191,76609853,63530210,63530208,76609850,90468187,259130254,258501130,60700777,258214417,87066392,80269918,77495644,64331179,52463409,42110769,33156258,33156259,42110771,50990060,50990059,62612037,75549849,77495679,77495678,73448745,60700778,49299555,39372961,30772345,30772344,39372959,49299550,256719678,54580657,52463407,52463406,64331174,77495641,269067632,66840089,54580664,54580663,64331184,72114417,268483600,76881562,63772312,63772311,76881561,90760101,90819811,257761964,269489189,258376233,258684554,257449074,37243301,256277830,255003408 Dl.O(d2) = 269832216,3295657,5361076,4384195,4384194,6978196,8266687,8255590,5325756,3273458,3273457,5325754,3406295,254411877,3391817,5502223,3425148,2023571,254279293,2059557,3407700,5489482,3380176,3380177,2022826,1157620,649486,360292,360291,649485,1157603,2022792,2029483,2029486,1998705,1998703,254280845,2035818,3440343,5555975,6043098,8560407,5557410,3441890,2037078,1167032,1145798,642737,642735,750620,1315187,2266976,1315079,750556,426549,426548,750555,1315074,1997209,3389680,5500019,8498501,8485706,5486575,3377400,2047110,2047109,3454246,5371090,3422429,2021589,1156808,649025,360045,197146,107542,107543,197150,360053,254138299,2021628,3405763,3405762,3407735,254190933,1155841,2020096,3420598,254413741,2010131,1149533,644856,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,1100838,650155,650154,254191305,3426548,254611235,268447904,260147733,272193860,37656812,47562886,58945758,51251814,41078075,41078076,32273102,32273101,41078062,51251795,62919891,75894258,62919923,62919922,75894290,87045051,74556124,61772548,59725957,59725958,49279186,39352535,255978381,17063286,17063285,23329911,30752198,39352531,49279180,50292752,40271477,31584362,31584363,38437941,31584399,31584397,257088223,258280241,88171036,102161813,260738399,116489305,102395041,260153645,106677176,113368897,99368359,85427066,74760766,61960734,61960735,74760768,88261746,88261745,88394544,102395048,116489313,116489285,102395012,88394588,74760764,61960729,50464838,50464837,61960727,74760761,74760781,74760780,88394610,102395117,260153643,258914599,258914601,62990902,51312411,51312410,62990900,74556121,61772543,61772544,258627462,88171026,102161803,102161806,116223020,115964064,101920136,101920137,102395110,101040707,87045027,73427663,60680031,60680032,269763374,40327400,40327401,50354577,61838912,74631329,88261763,90468191,76609853,63530210,63530208,76609850,90468187,259130254,258501130,60700777,258214417,87066392,80269918,77495644,64331179,52463409,42110769,33156258,33156259,42110771,50990060,50990059,62612037,75549849,77495679,77495678,73448745,60700778,49299555,39372961,30772345,30772344,39372959,49299550,256719678,54580657,52463407,52463406,64331174,77495641,269067632,66840089,54580664,54580663,64331184,72114417,268483600,76881562,63772312,63772311,76881561,90760101,90819811,257761964,269489189,258376233,258684554,257449074,37243301,256277830,255003408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14076879, s2 = 15088307, dlinesl.size( ) = 2 s1 = 14076879, s2 = 15088307, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14076879, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 15035813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14035019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14035019, s2 = 11491372, int(edited[s2]) = 0 s1 = 14035019, s2 = 11491372, d1 = 11, d2 = 10 Dl.O(d1) = 259178909,261006309 Dl.O(d2) = 205615605,265144639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14035019, s2 = 11491372, dlinesl.size( ) = 26 s1 = 10772795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10774037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14007677, s2 = 11192778, int(edited[s2]) = 0 s1 = 14007677, s2 = 11192778, d1 = 52, d2 = 31 Dl.O(d1) = 260714509,143103321,143103421,261287439,272261077,129773064,115873517,101826724,260117729 Dl.O(d2) = 260117727,101826722,260714493,272602292,61468835,49991381,39975277,258255947,259576290 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138965, s2 = 11300268, int(edited[s2]) = 0 s1 = 14138965, s2 = 11300268, d1 = 3, d2 = 0 Dl.O(d1) = 219872816,265250153 Dl.O(d2) = 273844590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138965, s2 = 11300268, dlinesl.size( ) = 2 s1 = 14138965, s2 = 11300268, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14138965, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 10775260, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10775649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10775649, s2 = 14168124, int(edited[s2]) = 0 s1 = 10775649, s2 = 14168124, d1 = 52, d2 = 3 Dl.O(d1) = 274338751,221690019,221690021,224145026,265501916,229753608,228127253,226274111,265126896 Dl.O(d2) = 175175692,164387071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14125427, s2 = 12276228, int(edited[s2]) = 0 s1 = 14125427, s2 = 12276228, d1 = 29, d2 = 17 Dl.O(d1) = 262294228,112937724,100828955,86847811,73234855 Dl.O(d2) = 76434673,87119811,87119810,101117914,115196000,260624306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125427, s2 = 12276228, dlinesl.size( ) = 26 s1 = 10775714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10775955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10775952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10776040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10776040, s2 = 11170246, int(edited[s2]) = 0 s1 = 10776040, s2 = 11170246, d1 = 19, d2 = 8 Dl.O(d1) = 74193064,61414239,49936022,39918084,39918085,40041068,40041067,40041090,40041089,44550017,269058648,49797077,49797076,39918090,31242598,31242597,39918087,40596566,50645625,62153345,74055539,61275469,61275470,74055542,85530847 Dl.O(d2) = 259155640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10776040, s2 = 11170246, dlinesl.size( ) = 8 s1 = 10776440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10777118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10777118, s2 = 10777127, int(edited[s2]) = 0 s1 = 10777118, s2 = 10777127, d1 = 58, d2 = 57 Dl.O(d1) = 71790120,59048626,47647287,47647288,47647264,47647265,59048606,71790106,71789896,71789897,85379163,71790098,258715915,66858489,61882466,61882465,74674696,257781338,81632817,95666311,85379509,258290839,59048426,59048424,71789897,71790203,59048710,47647368,47647367,59048708,49933138,49933135,61411760,269497560,85379133,71789846,71789845,85379130,99323800,99323903 Dl.O(d2) = 85379507,86001195,99959826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10777126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10777126, s2 = 10777091, int(edited[s2]) = 0 s1 = 10777126, s2 = 10777091, d1 = 66, d2 = 73 Dl.O(d1) = 119767314,105534064 Dl.O(d2) = 74206701,64248083,52392814,42049019,42049018,52392813,64248081 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10777218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10777692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10777730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10777982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10777982, s2 = 10777971, int(edited[s2]) = 0 s1 = 10777982, s2 = 10777971, d1 = 0, d2 = 0 Dl.O(d1) = 245476856,245331125,245176389,245011332,244835534,244649272,244449528,244235115,244235114 Dl.O(d2) = 245476856,245331125,245176389,245011332,244835534,244649272,244449528,244235115,244235114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10777982, s2 = 10777971, dlinesl.size( ) = 2 s1 = 10777982, s2 = 10777971, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10777982, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10777968, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10778079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10778079, s2 = 11181052, int(edited[s2]) = 0 s1 = 10778079, s2 = 11181052, d1 = 26, d2 = 27 Dl.O(d1) = 36557106,28087773,28087774,36557107,46420495,57774610 Dl.O(d2) = 257187890,41699701,52011374,269414518,76934834,258550582,65124362,74685595,258755028,61452390,74231594,85484751,71899684,59161578,47762945,47762946,59161580,71899685,71899686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10778079, s2 = 11181052, dlinesl.size( ) = 14 s1 = 14034371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034371, s2 = 4994765, int(edited[s2]) = 0 s1 = 14034371, s2 = 4994765, d1 = 82, d2 = 76 Dl.O(d1) = 258457949,92912061,107316636,121697684,135641498 Dl.O(d2) = 206898138,263898467,272857713,113774339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034371, s2 = 4994765, dlinesl.size( ) = 84 s1 = 11685544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082739, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10778534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10778565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10778692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10779095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10779095, s2 = 11087790, int(edited[s2]) = 0 s1 = 10779095, s2 = 11087790, d1 = 4, d2 = 1 Dl.O(d1) = 33855921 Dl.O(d2) = 26034460,19356600,19356601,255931482,17134278,17134279,23408735,22996961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10779095, s2 = 11087790, dlinesl.size( ) = 20 s1 = 14044749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10780160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10780772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10780772, s2 = 10780783, int(edited[s2]) = 0 s1 = 10780772, s2 = 10780783, d1 = 23, d2 = 28 Dl.O(d1) = 238955981,266677428 Dl.O(d2) = 230410700,228855272,227089615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10780772, s2 = 10780783, dlinesl.size( ) = 30 s1 = 10780889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10780889, s2 = 11454878, int(edited[s2]) = 0 s1 = 10780889, s2 = 11454878, d1 = 0, d2 = 1 Dl.O(d1) = 175314136 Dl.O(d2) = 178548812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10780889, s2 = 11454878, dlinesl.size( ) = 12 s1 = 14028581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14028581, s2 = 10993652, int(edited[s2]) = 0 s1 = 14028581, s2 = 10993652, d1 = 22, d2 = 27 Dl.O(d1) = 9120915,8534924,5533076,3418644,2018596,1154867,647917,359468,196843,107388,107390,196852,359490,647954,1154923,2010766,1149853,645030,254137769,653945,362627,362626,653942,1152928,1152929,2015544,2034345,1165210,653936,653935,1165206,254612715,255587769,18841090,13423660,13423658,18841089,255260474,256126886,25436939,268492221,258403069,91474580 Dl.O(d2) = 261526702,107934587,258482556,257270214,50238554,40218416,254959682,17679854,254312052,5474762,254603649,12503119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14028581, s2 = 10993652, dlinesl.size( ) = 32 s1 = 14054993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10782460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10782543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10782543, s2 = 11115604, int(edited[s2]) = 0 s1 = 10782543, s2 = 11115604, d1 = 1, d2 = 3 Dl.O(d1) = 7875916,5000469,3021869,3021868,5000467,7875913,11794114,16862252,23122392,23122479,23122478,30541344,30540354,23121488,16861566,16861565,255135238,39139417,48166852,38257759,29692354,29692355,29692348,29692317,22339472,22339471,29692315,38257712,48166954,42381085,42381083,42381084,50200059,40176277,40176276,50200058,59553470,256944254,29692077,22339279,16191390,11255112,11255111,16191388,22339277,29692075,30541296,23122426,23122427,30541298,39139732,38257653,29692276,22339453,16191489,16191488,255904879,38257462,29692032,29692033,38257466,38257484,31568358,24062696,22339186,22339185,22339460,16191491,16191492,22339465,22339162,22339161,29413798,22083523,15977593,15977592,22083520,29413796,22339328,22339329,26368634,19636060,14072910,9678591,9678592,14072912,17528991,12362913,12362912,17528989,22083497,22083499,29413779,37976951,29692178,22339359,16191431,11255144,7471523,7471520,11255138,267899912,29692154,38257568,36757926,28364598,21353465,15376951,15376952,11386008,11386006,16361295,22535078,21106920,15161571,13622507,13622508,15151128,21093019,28301665,254128880,11770889,11770887,16832243,23085163,30498452,24205722,24205721,31713337,36798843,28301675,28301674,31074720,39752339,254514132,31488727,23991512,23991513,31488729,31485203,31485201,30175023,30175021,37469437,40290689,31607675,31607677,40290697,41586465,32688378,31483670,23986657,23986656,28244688,21045250,21045248,28244680 Dl.O(d2) = 12449932,12449936,17628988,23976550,22870105,22870107,30266759,28497351,21279848,21279850,28497357,36994865,37412340,28870983,28870984,21596002,21595999,28871061,30742308,23990665,17645893,12472517,12472519,17645904,23990688,31466228,31466230,40149868,48770793,58649123,60850454,50311439,40290400,31607438,31607441,37642032,37642036,31468578,31468577,40152429,50177667,52634576,42249200,33269725,25509023,25509022,32697496,25014943,254406052,18933849,22188262,16060899,11151989,11151992,16060875,22188219,29530765,37469386,34004828,34004829,38774154,30190440,30190439,38774151,33145616,28063783,28063782,29851560,22486189,22486190,29851561,38419501,30741163,30741165,39339993,40054036,31372862,23980015,23980016,31476436,33146063,25405828,25405826,25405960,25405961,25405957,25405956,25405450,18815483,18815484,25405451,25406032,18815868,13404442,9164298,9164297,13404441,18815867,25406031,33146273,25406056,18815888,15036223,15036224,20944549,18815375,18815377,25405310,25406313,18816077,13404569,13404571,18816080,25406318,25405614,25405569,25405570,25406108,18815927,18815928,18815491,18815490,25405463,33145641,42099724,33145590,33145589,33145639,255856834,15031586,15031585,18815970,13404510,9164329,5997937,3750935,267860741,9164325,13404501,18815957,25406143,22486173,22486172,25406069,18816070,13404563,9164355,9164145,9164144,13404166,255661069,33145500,33145599,256030659,24031301,29232622,29232623,255579031,17680807,24031304,24031305,31533468,24031441,24031440,24031447,24031546,24031415,17680693,17680692,24031262,17680592,17680593,24031263,268115781,12503894,17680690,12503878,12503876,17680688,256536591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10782543, s2 = 11115604, dlinesl.size( ) = 2 s1 = 10782543, s2 = 11115604, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10782543, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 14143099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143099, s2 = 5396600, int(edited[s2]) = 0 s1 = 14143099, s2 = 5396600, d1 = 86, d2 = 9 Dl.O(d1) = 227428097,225467769,223214247 Dl.O(d2) = 223214253,220608194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143099, s2 = 5396600, dlinesl.size( ) = 70 s1 = 10783143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10783143, s2 = 13430537, int(edited[s2]) = 0 s1 = 10783143, s2 = 13430537, d1 = 0, d2 = 2 Dl.O(d1) = 15815545 Dl.O(d2) = 40085545,31405128,255752996,17570972,23913753,31405124,31377719,23881022,17535180,12413413,8390036,8390037,12413415,17586320,23927918,20263349,14538440,10002810,6573422,6573419,10002799,14538428,14538454,20263374,256745342,8451320,12480382,17651169,23995034,31492471,31492472,40177942,50201755,50201751,40177941,40153731,256124478,268114099,12446000,17625956,23973900,31469709,24283719,17903007,17903010,12682662,8614318,5599461,3475753,3475754,5599465,8614323,12682621,8614288,5599444,3475741,2062293,1183615,664876,368797,368798,664880,1183622,2062307,254421887,254601787,5425602,3335327,3335328,5425605,5456933,3354859,3354860,5456936,8448644,12478150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10783143, s2 = 13430537, dlinesl.size( ) = 14 s1 = 14110229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110229, s2 = 11125564, int(edited[s2]) = 0 s1 = 14110229, s2 = 11125564, d1 = 76, d2 = 60 Dl.O(d1) = 150613309,157039222,144641167,131418512,131418511,117617557,103487056,89392839,75631569,62686864,51056360,51056359,62686862,75631565,89392831,103487038,89392843,89392844,103487063,117617522,260785600,144641134,157039197 Dl.O(d2) = 72491137,72491138,76997317,90875463,100050699,105054511,90875462,258290674,64677825,77867805,71143731,58422058,256862941,37156361,47047185,58422057,71143729,84713666,84713668,71143734,58422060,58422061,71143735,58636490,47242773,37332756,37332754,256045312,17870549,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828905,25132429,32837530,41758311,37499233,30104698,22723144,22093895,22093894,28956447,26623031,26623032,31804332,25539220,18926998,18926997,25539213,31804362,24289727,17908116,12686902,8617853,8617854,12686908,17908125,24289742,31804391,40499505,31804373,31804372,29321649,21992788,15894903,15894904,21992792,29321655,29442201,26622994,19812599,15793272,15793273,21866923,29177461,33558812,33558813,42575624,35081006,28422190,28422192,36823967,28328358,28328357,36823961,37499135,28956326,28956323,36693392,43065921,34008142,26166462,19465989,19465990,22893560,16663860,16663861,21117806,21117805,28328001,29753378,22392921,16233282,16233283,22392925,29753384,26161162,26161164,28550121,23026926,19466983,13931943,13931938,19038125,21991143,20980608,15068568,10391904,6849150,6849149,10391901,15068565,19037324,19037325,15894644,15894643,21992400,256373805,47811597,59210196,49764881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110229, s2 = 11125564, dlinesl.size( ) = 14 s1 = 14105325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105325, s2 = 11388016, int(edited[s2]) = 0 s1 = 14105325, s2 = 11388016, d1 = 4, d2 = 5 Dl.O(d1) = 123654806,109462155,260994485,272550538 Dl.O(d2) = 256915564,6852776,10396033,15037548,10366680,10366682,11535085,267895143,4855843,7674080,11535090,9074598,9074599,13292060,14964507,20866554,25261016,25261015,255285428,18670656,14075992,9681181,9681180,7083936,7083937,10722407,10415174,6865573,4308860,2576505,2576506,4308862,6865575,10415179,15101125,20869964,15003237,10396244,8593865,5583860,3464381,2054523,2054524,3464388,5583881,8593907,10364826,6827818,6827821,10364838,9077445,5936508,5936507,9077438,10361290,8109050,8109053,12060449,10382626,6842168,4293228,2566810,2566808,4293258,6842216,5561354,3445668,3445669,4605691,4605692,5084377,4444247,2911302,1688895,960450,541329,541328,960447,1688890,2911296,4493240,2699508,2699507,2700048,1564189,889213,889217,1564106,1652085,939658,939657,1562943,888677,254160791,2698367,4491237,4490787,4490394,4490392,4736400,7493141,10796606,7295502,4831375,4526415,4491323,4491324,7133734,8301503,10796854,7133758,7133756,4724943,2846863,1651732,1651733,2846868,4724954,7476292,7636826,254789941,16479503,21638055,15606326,10797094,10797093,7960875,5063995,5063996,4493293,4493290,7136966,10801465,15612138,21636906,21636907,21892488,17318016,17318015,255381563,10472540,10472541,7411582,4683172,2821623,2821624,4683177,7136857,4683062,4683061,7411437,4746507,4746506,7509075,8167245,7291869,7291871,7509640,4746856,4746857,7509627,10796950,10796951,10962661,7411564,7411565,11171400,16085272,11311042,11311043,10839276,10839274,8317827,8241235,5312986,5293427,3244662,3244659,5222789,8151603,7163850,4748081,4747011,4747012,4747231,2860923,1660393,1660391,2860916,4513267,4513265,4682743,2821392,2821396,4682759,7410975,4747409,4747410,7253882,7509398,7511397,4748196,2861524,1660731,944919,944918,1660444,1660445,944852,944854,1660591,2861270,4747806,2861378,1660651,1660649,2861374,4683528,2821859,2821860,4683530,4683447,4683446,7411958,7684968,4862623,2930164,2930162,4862618,7390295,4668763,2812598,2812597,4512255,7164313,10837879,11312233,11312225,11142063,10838574,7164917,4512631,2711581,1570820,1570825,1637132,2821958,254526511,11172168,15657027,15657028,15925225,15656374,15656375,15925226,22026134,26952261,35032540,28979939,21697722,21697723,255894659,17057391,255530407,13171253,8978542,5861826,5861827,8978549,13171263,16269316,22217261,16085890,16085891,22217263,21287445,21287444,17811417,17811416,15926580,15655604,10836444,10836443,15655601,17311551,15924938,11047890,11047891,15924941,18536354,13170914,8978296,5861666,5861670,8978301,10838407,7164792,4512555,4512553,7164788,8978291,13170908,17339753,17339755,23656543,17434146,15612416,10801706,10796646,10796645,7321784,4622989,2783825,1614732,1614733,2783830,4623000,5353911,3290526,3290525,5353904,8299155,12179651,17301566,15656602,15656600,21696806,255162965,12213464,17275568,21691927,15651787,10833461,10833462,15651789,255841735,17339684,15920835,11044310,7319129,4620910,2782529,254347825,7319126,4626202,4626203,7325376,7825334,7825335,8154120,8152561,8152563,7825618,5031878,3046080,3046083,3446136,3446135,5562149,8147271,12116357,12210385,12217004,8247283,5318991,3267798,3267797,5318990,8228961,254839211,17323000,23638673,31124614,39804762,49825655,61305680,74086909,87693960,101665676,115710033,129596269,259081480,134804517,260922136,134804514,121007864,113755337,113755338,121007858,106754995,270554235,65132476,53147452,53147451,65132474,78414178,92450024,106754970,92450004,78414166,65132468,65132467,78414165,78414174,270469727,76084214,259599835,118165194,131981840,127342802,259972101,47790074,272873008,261698617,165184330,175894002,175894000,263885901,265382393,265713695,274864368,238181143,266794255,267085845,267384879,245194286,245347820,267452527,267518145,275031461,275023831,267452511,275011200,267365295,275000477,245874110,245874114,267436930,246090179,245998200,245887538,267365300,267300114,245050032,267275146,245365661,245509329,274989120,245769914,245644437,245509328,267300114,245050032,267275146,245365661,245509329,274989120,245887539,245998201,245887540,245769915,245644437,245509328,267300114,245050032,244875980,244875979,245050031,245050032,267275146,245365661,245509329,274989120,245887539,245998201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105325, s2 = 11388016, dlinesl.size( ) = 14 s1 = 16307796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16307796, s2 = 15241977, int(edited[s2]) = 0 s1 = 16307796, s2 = 15241977, d1 = 13, d2 = 11 Dl.O(d1) = 255563160,16947291,23220110,19078270,13620539,13620538,10524050,10524052,15254519,21224415,23219716,16946938,16946939,23219718,254657420,19668814,14099137,254302670,26403229,34278377,42304966,52691849,64592338,55363984,44517841,257315277 Dl.O(d2) = 58424761,71146459,255678370,43377370,34278376,34278377,33324286,33324287,256526615,254853719,5406751,5406750,8377897,12396878,17568517,17883297,16897242,11824776,11824775,16897240,17405462,17405463,254927116,29674367,258013495,16548761,16548760,22761028,30148169,32961989,32961991,41900360,34168657,34167791,29324800,21995281,15896698,11020044,254756430,1605055,1605058,2768420,4601200,7295643,11020069,15896737,255878409,36418523,36418522,36591164,46408782,256815979,28079006,255365383,267957621,254323875,1468607,1468606,2549411,4264156,6799797,10331639,11534208,7673527,6799655,4264057,2549359,1468579,830793,830795,1468564,1468563,1468556,830784,830783,1468546,2549288,4263950,6758420,4235104,4235103,3306692,1945351,1111367,623706,346631,346629,623701,1111353,1457298,2528729,4229296,4252731,5157984,3141507,1837248,1480545,836809,471526,471525,836807,1480539,2571664,4301332,6853967,5477305,3370527,1983377,1132890,1132888,1983371,3370519,2927706,1698245,1698246,1480474,836767,471502,264886,146597,80560,80557,146585,264862,471459,836685,1480324,2571244,2571428,2571426,4300497,4278663,2558195,2558196,4278637,6820648,4292958,4278746,4278743,6820786,10356754,254505910,2562582,2562583,4286274,6775732,4247130,2539239,1463081,1463078,2539229,2550914,1469455,831244,831246,1469464,2550941,4266705,5210343,5924354,3705914,2219460,2219461,1287650,1287647,254295927,5926814,9064153,13279782,12665318,12665317,17881451,14963883,10296324,6769224,254706493,4248087,4248086,6777254,10305560,14973395,17875736,17181812,17181813,257616881,73582975,87204998,101205724,115284099,129212578,142584099,155222043,142584095,261806547,266138685,234005225,235041411,235984367,236842469,237622132,266722321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16307796, s2 = 15241977, dlinesl.size( ) = 8 s1 = 10784674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14029661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14029661, s2 = 11012534, int(edited[s2]) = 0 s1 = 14029661, s2 = 11012534, d1 = 35, d2 = 21 Dl.O(d1) = 270511340,260322959,134989936,148112371,160355645,171557787,181555136,171557783,262965023 Dl.O(d2) = 259723332,65567878,257252795,268159237,1362217,776391,440771,440773,762510,762512,433834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14029661, s2 = 11012534, dlinesl.size( ) = 22 s1 = 10785186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10785186, s2 = 14058840, int(edited[s2]) = 0 s1 = 10785186, s2 = 14058840, d1 = 41, d2 = 18 Dl.O(d1) = 254530880,7206715,4540612,4540611,6878057,10432934,15126010,10715609,7079346,7079347,10715614,12186633,15786200,10936289,10936288,12365855,12365854,17532664,15781468,15781467,15084409,15084408,20117370,14427154,14427155,20117373,27008905,28091422,25738492,19105422,19105424,17906816,17906817,22120694,16195737,16195739,17906805,17906807,17906827,22121305,17310966,17310967,21000128,21000115,21000114,21000227,15084466,10404375,10404373,8217040,5286988,3238874,3238877,5286996,8217059,7079359,4457092,4457093,7079363,10715642,12365849,8355776,5393332,5393334,8355782,10404350,10404348,15084419,10966663,10966660,15825309,20117365,19105406,13640965,9341076,6118569,6118571,9341083,13640977,19105428,16006907,11113177,11113176,16007022,11112840,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532672,15825319,10966667,10966669,15825330,12509991,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370410,11112877,11112997,7370492,7370493,11113001,16007195,11113318,7370751,7370674,7370672,11113201,11112721,7370591,7370592,11113068,7370551,7370550,4656257,2805105,1627262,1627263,2805109,4656272,7370629,4656365,2805161,1627285,925330,521601,521600,925324,925293,521586,521587,925297,1627219,2805017,4656109,7370341,11112753,16006922,16007424,11113213,7370679,7370678,4656374,4656373,7370821,11113401,16007629,16007459,11113254,7370711,4656601,4656600,4656641,7356707,4647141,2799238,2799237,4647135,7356701,4656237,2805095,1627257,925315,521595,521596,521607,521608,925347,1627312,1627363,2805293,4656634,7370669,7370670,7370659,4656290,2805120,2805118,4656263,4656101,4656100,7370325,11112733,15979282,22085574,15979267,11092766,11092767,7370831,7370832,7370815,7370814,7370996,11113656,16007466,11113259,7370715,4656325 Dl.O(d2) = 29437209,38000048,37777560,29216571,29216570,37777557,256124213,18814167,13403294,13403293,18814165,256124211,42098174,38789463,30204695,30204696,38789466,255589528,29456059,22122051,22122050,29456057,38018132,33143975,25403874,18814184,13403301,13403302,18814187,25403878,33143980,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010916,31511094,40197033,40197042,50219179,47932051,39473626,37740874,29180053,29180052,37740870,36561464,36561463,46425667,49840697,40197095,31511183,31511184,37631136,47536785,48064031,38151233,38151232,48064027,40425526,40425525,50219223,256401746,47973374,38791499,256983535,256535045,31511185,40197099,49054798,49054797,40197000,38790237,30205515,30205516,30206635,22814922,16596354,16596356,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010934,28334915,28334914,22813141,22813140,22813460,22813459,30205013,31816980,29675127,22324252,22324250,29675122,38239963,38151238,29585198,22324865,16179478,16179477,22324862,29675862,38240660,37264430,28732216,28732218,28732206,28732205,37264419,47170450,37357875,30623415,23201352,23201353,30623418,38789549,48711668,50219190,40197052,31511120,30205078,30205079,30205518,38790249,31511154,24010955,24010954,30205920,30205443,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,30205456,38790191,36753777,36561169,255968956,21548991,21548990,255497087,7704048,7704047,11574187,16595475,17895087,17917915,17917914,24301111,28258750,21057918,21057917,16185281,16185282,22331796,22813733,16595385,11574136,7704022,7704023,11574139,16185231,16185232,16596365,11574807,11574805,11245986,11245988,16179377,15125803,15125804,10432857,10432856,15125892,11574831,11574832,16596395,22814965,22813797,16595441,16595440,21057768,22324553,16179254,11245896,11245895,11574151,7704028,4875799,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,21057681,16850264,15125798,10432807,7704432,7704431,254748937,4540925,7206919,7704305,7704306,11574606,16596097,21057808,15125932,15125838,10432825,10432826,15125845,21057722,16596347,15126058,10432968,6878083,4317506,4317505,6807418,4269524,2552656,2552658,3184998,3184995,5221158,8149596,255993201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10785186, s2 = 14058840, dlinesl.size( ) = 8 s1 = 14058839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10785308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10785308, s2 = 10785316, int(edited[s2]) = 0 s1 = 10785308, s2 = 10785316, d1 = 15, d2 = 19 Dl.O(d1) = 262269821 Dl.O(d2) = 273726781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10785308, s2 = 10785316, dlinesl.size( ) = 14 s1 = 10785315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10785315, s2 = 10785307, int(edited[s2]) = 0 s1 = 10785315, s2 = 10785307, d1 = 18, d2 = 14 Dl.O(d1) = 273726780 Dl.O(d2) = 262269820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10785315, s2 = 10785307, dlinesl.size( ) = 14 s1 = 10785887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10785956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106293, s2 = 11591866, int(edited[s2]) = 0 s1 = 14106293, s2 = 11591866, d1 = 14, d2 = 12 Dl.O(d1) = 258685316,71273516,58541928,58541927,47153561,37248322,268208436,268208438,15461152,10690425,7062470,4446561 Dl.O(d2) = 265847215,231223654,232516118,233684317,233821727,266426921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106293, s2 = 11591866, dlinesl.size( ) = 24 s1 = 14123431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123431, s2 = 10786790, int(edited[s2]) = 0 s1 = 14123431, s2 = 10786790, d1 = 3, d2 = 1 Dl.O(d1) = 262330583,142997618,129669819,115773044,101727866,101727867,115773046,129669824,142997627,155546572,167178668,263231791,177677296,273382389 Dl.O(d2) = 273709162,142997623,155546562,142997618,129669819,115773044,101727866,101727867,115773045,129669821,261822315,262802467,273158121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123431, s2 = 10786790, dlinesl.size( ) = 2 s1 = 14123431, s2 = 10786790, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14123431, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10786789, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14844481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844481, s2 = 11244722, int(edited[s2]) = 0 s1 = 14844481, s2 = 11244722, d1 = 36, d2 = 26 Dl.O(d1) = 133570937 Dl.O(d2) = 95126561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844481, s2 = 11244722, dlinesl.size( ) = 22 s1 = 10787242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10787242, s2 = 11006330, int(edited[s2]) = 0 s1 = 10787242, s2 = 11006330, d1 = 1, d2 = 1 Dl.O(d1) = 7402163,7402159,11159675,12177917,8209584,5280420,3233744,3233745,5280423,8209592,12177928,12177693,8209295,8209294,12177689,12484651,8455622,8455623,8234326,5306310,5306311,8234329,12202833,12484929,12484930,11036803,11036804,15915462,22017158,17654525,12483588,8454162,254408037,3359067,5462988,8455603,12200901,12200899,11159841,254525633,2817234,2817235,4676369,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897064,3234124,5270307,5276141,8204820,11030528,15316620,10578719,8228104,5299129,5299130,254582809,5279165,8208038,12176029,14434621,9929266,6525574,4088634,2446009,1414243,804628,455967,455928,256994,142374,142375,257000,455942,804564,1414104,2445699,4088022,6524456,9926874,9926873,9929520,8242587,5314417,5314418,8242593,8165289,8165287,12135325,16340249,11369270,7553195,7553194,11369267,8168583,8168580,11369373,12211739,17275634,12155220,12155221,8189888,5259488,3215140,2993810,1738450,987886,555790,310842,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906791,3248129,3218564,3218563,5263339,254836139,255455233,11159842,7402353,4676365,2817234,2817235,4676369,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897064,3234124,5270307,3232862,3232861,5279189,8193018,10578716,8181975,5251679,3269727,1922613,1922611,254397641,7303403,8195866,5265969,3220835,1887526,1076944,604893,336693,336695,336690,336687,604881,1076926,1081438,1081440,1894834,1897235,1086055,609855,609854,919773,518675,518674,919767,1614018,919746,919747,1616981,2787297,4627446,3249787,1908015,1089404,611657,340216,340217,611661,1089408,254153188,1089913,1908751,3250642,5242235,3201036,1874138,1874139,3201039,5242240,7328075,4628911,4628912,7328076,11052620,254581345,5263339,254836139,255547367,17274415,255069665,7321827,4623020,4623021,4619419,2781534,1613469,917790,917789,1613466,1879578,254391539,254760909,254347931,2783575,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711963,2711965,3220094,3220095,4615702,4615701,7312451,4966806,4966807,7825372,5296173,254265477,254265479,5296174,254397110,5299365,254265723,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,613978,341393,187322,187323,254105205,1093712,1915091,3223267,254585453,5236068,3196133,1870919,1097172,615894,615891,1097163,1911066,1911067,3253849,4958497,2993873,1738505,987923,555812,310853,171853,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908667,254395541,254504648,7915262,5031799,3046012,1774030,1774029,1877924,1877925,3205844 Dl.O(d2) = 7402163,7402159,11159675,12177917,8209584,5280420,3233744,3233745,5280423,8209592,12177928,12177693,8209295,8209294,12177689,12484651,8455622,8455623,8234326,5306310,5306311,8234329,12202833,12484929,12484930,11036803,11036804,15915462,22017158,17654525,12483588,8454162,254408037,3359067,5462988,8455603,12200901,12200899,11159841,254525633,2817234,2817235,4676369,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897064,3234124,5270307,5276141,8204820,11030528,15316620,10578719,8228104,5299129,5299130,254582809,5279165,8208038,12176029,14434621,9929266,6525574,4088634,2446009,1414243,804628,455967,455928,256994,142374,142375,257000,455942,804564,1414104,2445699,4088022,6524456,9926874,9926873,9929520,8242587,5314417,5314418,8242593,8165289,8165287,12135325,16340249,11369270,7553195,7553194,11369267,8168583,8168580,11369373,12211739,17275634,12155220,12155221,8189888,5259488,3215140,2993810,1738450,987886,555790,310842,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906791,3248129,3218564,3218563,5263339,254836139,255455233,11159842,7402353,4676365,2817234,2817235,4676369,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339554,610164,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897064,3234124,5270307,3232862,3232861,5279189,8193018,10578716,8181975,5251679,3269727,1922613,1922611,254397641,7303403,8195866,5265969,3220835,1887526,1076944,604893,336693,336695,336690,336687,604881,1076926,1081438,1081440,1894834,1897235,1086055,609855,609854,919773,518675,518674,919767,1614018,919746,919747,1616981,2787297,4627446,3249787,1908015,1089404,611657,340216,340217,611661,1089408,254153188,1089913,1908751,3250642,5242235,3201036,1874138,1874139,3201039,5242240,7328075,4628911,4628912,7328076,11052620,254581345,5263339,254836139,255547367,17274415,255069665,7321827,4623020,4623021,4619419,2781534,1613469,917790,917789,1613466,1879578,254391539,254760909,254347931,2783575,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711963,2711965,3220094,3220095,4615702,4615701,7312451,4966806,4966807,7825372,5296173,254265477,254265479,5296174,254397110,5299365,254265723,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,613978,341393,187322,187323,254105205,1093712,1915091,3223267,254585453,5236068,3196133,1870919,1097172,615894,615891,1097163,1911066,1911067,3253849,4958497,2993873,1738505,987923,555812,310853,171853,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908667,254395541,254504648,7915262,5031799,3046012,1774030,1774029,1877924,1877925,3205844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10787242, s2 = 11006330, dlinesl.size( ) = 2 s1 = 10787242, s2 = 11006330, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10787242, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14142011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142011, s2 = 11650166, int(edited[s2]) = 0 s1 = 14142011, s2 = 11650166, d1 = 21, d2 = 18 Dl.O(d1) = 265930619,266615313,232990270 Dl.O(d2) = 265440088,274016715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142011, s2 = 11650166, dlinesl.size( ) = 30 s1 = 10788858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10788858, s2 = 11179454, int(edited[s2]) = 0 s1 = 10788858, s2 = 11179454, d1 = 1, d2 = 8 Dl.O(d1) = 257677855 Dl.O(d2) = 258736852,59336261,72070635,72070636,258732256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10788858, s2 = 11179454, dlinesl.size( ) = 8 s1 = 10789663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10789663, s2 = 11488764, int(edited[s2]) = 0 s1 = 10789663, s2 = 11488764, d1 = 0, d2 = 4 Dl.O(d1) = 198721989 Dl.O(d2) = 214761342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10789663, s2 = 11488764, dlinesl.size( ) = 54 s1 = 10789897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10790159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10790159, s2 = 10790154, int(edited[s2]) = 0 s1 = 10790159, s2 = 10790154, d1 = 5, d2 = 0 Dl.O(d1) = 260475526,155583292,262129768,167215302,172861273 Dl.O(d2) = 161703740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10790159, s2 = 10790154, dlinesl.size( ) = 2 s1 = 10790159, s2 = 10790154, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10790159, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 10790157, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14159215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14865273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14865273, s2 = 11222802, int(edited[s2]) = 0 s1 = 14865273, s2 = 11222802, d1 = 10, d2 = 6 Dl.O(d1) = 255674223 Dl.O(d2) = 52719860,64620018,64620017,64620018,260127362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14865273, s2 = 11222802, dlinesl.size( ) = 14 s1 = 10790750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10791033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10791033, s2 = 11008078, int(edited[s2]) = 0 s1 = 10791033, s2 = 11008078, d1 = 44, d2 = 33 Dl.O(d1) = 255179043,8375042 Dl.O(d2) = 254271337,1116572,1116573,1954505,3323007,5405056,8375052,12392969,17554446,12383965,8368367,8368366,12383964,13510842,9244561,9244559,11749102,11749101,16802601,13512487,13512488,12386065,12386067,17556685,17555971,12385366,12385365,12255990,12255989,254828078,23431519,23917781,26647847,19834327,19834328,17551354,12380960,8366236,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10791033, s2 = 11008078, dlinesl.size( ) = 46 s1 = 14094967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14094967, s2 = 11105026, int(edited[s2]) = 0 s1 = 14094967, s2 = 11105026, d1 = 11, d2 = 19 Dl.O(d1) = 270286490,33234861,41407483,41407482,32549322,32549321,29725153,29725152,32903516,32903517,41828204,256067806,21405153,18497217,13141508,8956624,5846162,3648238,2180872,2180871,3648237,5846161,3648269,2180886,1263927,720272,720273,1263930,2180893,3648282,5846236,8632396,5618833,3585210,2136723,2136724,3585212,5757300,5756992,3585003,2136571,1233121,1233120,2136569,3585000,5756986,5757596,3585393,3585394,5757598,8835679,7494619,4737650,2855389,1657179,942951,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778 Dl.O(d2) = 10431466,15123829,21055123,28255988,28249462,21049218,21049221,27970315,28252539,28252540,28258371,21057327,15125540,15125503,15125505,17464042,15120142,15120143,21048117,15118621,10429103,10429102,15120153,21050217,28250591,36744658,28249981,21049666,15119774,15119637,15119636,15124030,15123610,15123611,21054869,15124039,15121702,10430038,6876320,4316562,4316563,4316574,4316596,6876396,10430166,15121896,13902435,9540623,6259129,6259132,9540637,13902461,19062718,13608716,13608720,19062726,20805986,14911241,10253034,6737088,6737089,4317380,4317376,6877819,10432556,10253549,6737417,6737416,10253546,14912060,16028480,21052106,21052107,28252620,24514193,267984812,16238437,11289377,7495424,4738119,254238891,1657307,2855631,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079853,18079850,12820218,8716463,8716465,12820227,18083259,18082033,12819398,12819397,12916559,8786400,5722582,5722583,8786402,12916566,18211249,19071845,13615565,9323103,9323101,12820988,8716897,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,12127026,8158614,5229405,5229407,8158624,8503183,9913498,6514918,6514917,9913493,14414341,20103984,24509721,18080601,12818523,8715509,5673412,5673410,8237428,5309810,3259906,1915373,1915374,3259912,5309822,8237454,8503189,8503190,12543818,17730061,20948668,21322749,21322750,24508806,24508805,32082830,30910179,23474426,17192736,17192734,23474418,25704801,25704802,25697524,19071896,13615601,9323117,9323119,13615589,19071876,25697487,33470664,259053775,106099830,120300227,134131101,147343548,147343547,272424466,100996150,100996149,92992099,270049613,26145274,19447901,254950207,9551997,13917009,19447908,26145065,19447933,19447934,19447886,19447887,13917005,9551995,6267609,3924273,3924272,254671325,9552093,13916937,13916936,256693081,268781219,33985002,43042484,43042485,53521006,65545154,65545265,53521100,53521099,65545264,65545496,65545177,53521024,51092490,40949222,32169753,32169752,39380948,49308754,60711040,258101628,43042578,43042577,40417767,40417766,32801125,25099594,25099593,32801123,41721007,52036273,63856106,65545241,53521076,43042553,43042554,53521077,65545243,65545489,65545490,256604256,39380951,30779192,30779193,255971320,23354937,30779186,39380938,43042559,43042560,51066580,52709403,42322247,42322246,52709401,57839206,46483084,36616675,256107754,15054726,254714341,4291994,2566067,2566068,3708543,5931070,6835953,4292219,4292220,4284744,256283373,257308570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14094967, s2 = 11105026, dlinesl.size( ) = 14 s1 = 14051037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051037, s2 = 10792769, int(edited[s2]) = 0 s1 = 14051037, s2 = 10792769, d1 = 47, d2 = 51 Dl.O(d1) = 255473954,16276231,22445455,29812922,38385393,48295662,59682003,62744379,62744380,75691850,257631144,87116870,94441579,84767458,269781979,47098956,58477065,71198756,71198803,258383014,84767487,72430671,59695030,48308091,38397367,29825009,29825010,38397371,48308097,59695035,71799940,71799941,74036126,77783110,64599941,52699170,42312110,255167558,18962974,25572086,33331836,42312116,52699180,61391549,61916208,50425995,256547932,24191274,254872580,30044106,255198728,255161906,22509885,16336173,16336174,15157992,15157991,21102330,26437294,26437297,28312731,28312732,24176005,24176003,30222752,22830620,16609377,16609380,22830612,30222740,32777219,30418924,29868727,22509340,22509341,255959786,27055170,27055172,29520260,22177758,22177756,29419639,30494430,37800898,29237773,29237774,255729128,21917838,15834119,10972840,7262973,7262972,10972835,15834102,15837100,15837099,15833352,15833349,14462770,254978684,27053562,256223974,21719228,15675238,254745399,4519048,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797797,8797798,12932448,18232603,24703100,30495228,23081742,23081744,30495231,254691968,11769305,11769304,16830374,254472948,17652737,17652735,13428941,13428942,18848156,20164623,19232675,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307,9949827,14462132,14462576,14462572,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,254457964,9950777,9950778,14463520,20161196,16235150,11287237,7494105,7494104,11287235,16235146,14467166,9953559,254215332,2451759,267817983,6541714,9953563,14467171,20165166,27058658,21468765,15467121,15467122,268176174,35142715,40179868,39096388,254473154,37799602,255333470,15834792,15834793,15838294,10975454,7264476,4581210,4581209,7264470,10975447,15838287,21924067,29243573,31783640,40478177,41484150,32605261,32605259,41484143,37808026,29586336,22238557,16103188,16103187,22238550,29586318,24389575,20173245,20173244,20172773,20172771,20173273,21923545,15837941,14474087,9958770,9958768,14474078,20173601,27068418,29243744,21924195,20172710,20172709,21924229,29243779,29243429,21923979,21923980,29243433,29938787,27068005,21924089,15838316,10975469,10975468,15838312,21924057,29243563,37807818,37807826,35153912,35153913,35143494,35143495,44519852,44530453,55375294,44529185,35153074,29586308,29586310,35153120,27067399 Dl.O(d2) = 49254187,257264102,52508892,49254198,49254197,60654784,73400880,64382335,60654801,60654800,73400127,60653796,49253447,39327087,30729238,23311059,23311012,17048936,17048935,23311006,30729265,39327132,49253513,60653835,52508851,52508853,64382314,52508943,42151304,33192546,33192547,37797734,255871833,21917686,29235176,22127164,16012499,16012500,18850009,13430285,13430286,18850016,25447285,33189670,25444172,18847188,13995634,13995633,19545197,26265424,33192635,31494994,23997614,23997617,31494999,29235204,21917701,21917702,17324805,17324804,23641511,31128892,25447568,18850193,13430383,13430385,16012520,11117179,11117178,16012513,18850113,18850112,25447396,21918517,21918516,29234510,29234511,37797044,29234539,29234540,29234552,29462083,25447239,18849988,13430267,13430157,9182231,6009857,6009855,9182223,13430142,18849818,21917779,21917777,15836834,10974504,10974505,15836842,21922052,29241145,25447300,25447301,33192646,25447512,25443360,22127337,255872353,255752788,15836202,21921085,16013781,11118152,7374222,7374223,11118154,16013784,17932816,17932815,24319744,31839027,40536914,33191192,25445981,18848897,18848898,25445982,25445959,20207880,14500627,10974063,10974062,15833170,15833291,15833293,21916680,29233962,21920022,21920021,22127003,22127002,16012438,16012439,11479236,11479237,16475454,18849062,13429611,13429612,18849069,21922849,23997554,17653589,17653586,23997548,31493817,33190930,27108400,20207770,14500562,13428569,13428571,18847607,15837425,10974860,7264112,7264113,10974866,15837436,21922921,23083077,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,254861887,268221349,19232697,17653546,17653545,255334072,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,254340031,254745397,15675219,18848131,254822016,18848224,23269584,23997874,23997875,31495252,30494783,30494782,39091329,49020866,52507105,42149369,42149368,44520211,44520212,38024618,29462546,22127860,18396612,18396610,24899389,30494479,23080856,16828505,16828506,21013149,15092051,10408908,10408907,15092045,254978988,29004967,21719097,15675133,15675134,21719101,17652737,17652732,23996487,23084414,16831591,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264659,7264573,7264572,10975614,15838568,21924448,29244030,34269154,29969098,29969099,38535059,32254229,24654762,24654763,26632387,26629012,254241498,21960408,19649675,19649678,22445286,21205168,16584082,16584081,254548614,16640411,11608329,7728151,4891865,4891866,7728153,8578226,8578227,5573758,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,11549216,7683734,7683736,11549222,14090796,10733681,7091923,4465314,4465316,7091931,10247299,10247298,10384564,15059025,14090330,9691437,6374500,3999795,3999796,6374506,9691453,12028427,11838577,11838578,16915919,17767079,19656954,15466864,15466863,21468440,19660543,14092562,12032999,12032998,16916337,18681297,19821281,26632602,23775356,17445756,17445752,21490835,15485170,10708135,10708133,7344461,7344459,11076185,7344501,7344503,11062318,7334935,7334931,11062311,15525537,15525535,15942138,11062646,7335143,7335144,11062648,11064989,7336667,7336668,11064990,15945231,15955169,15943159,11063490,11063491,11078965,255446857,15955091,22046181,29376808,268647931,35222390,35222389,32746092,25054984,18517346,13156708,8967668,8967669,12596766,254611851,2029342,3431752,5546062,8547679,12596781,17796252,24164049,31673660,40368276,254626490,47686736,37764889,29203381,29203380,31673631,255219652,22988238,22988237,255219650,12788216,12788215,18040531,18040538,12788219,12788220,18040540,24459226,32020579,24459444,18040706,12788309,12788308,18040703,255516998,17190858,12087865,12087866,12788365,8693906,8693904,12788360,18040795,24459585,32021013,40776857,32020576,24459222,24459221,255512458,24459291,18040593,12788248,8693835,5658414,5658415,8693839,12788256,18040605,24459308,32020490,34654395,32020687,32020685,32020821,24459472,24459473,31890666,31890665,40599494,39043281,39043279,48964739,43385832,34286793,26411493,26411494,22598242,16415232,16415229,22598234,254808496,48436404,40776954,32020680,32020678,254808450,24459313,24459312,32020671,40776944,47780032,59179243,50893403,50892980,50892979,41406889,32548716,24899325,24899326,32548717,40776768,255956928,51647676,51647675,41406927,32548746,32548747,36459059,28000433,20835927,20835928,28000466,32548695,32548694,41406862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051037, s2 = 10792769, dlinesl.size( ) = 2 s1 = 14051037, s2 = 10792769, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14051037, Dl.E( ) = 52, 2.88e-05 seconds used appending s1 = 10792770, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15249641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15249641, s2 = 11428096, int(edited[s2]) = 0 s1 = 15249641, s2 = 11428096, d1 = 27, d2 = 20 Dl.O(d1) = 42103749,33149658,33149660,42103756,36495597,28583380,21353522,21353521,28583378,37088204,257437007,71053685,259917717 Dl.O(d2) = 263094847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15249641, s2 = 11428096, dlinesl.size( ) = 44 s1 = 10793947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10794258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10794258, s2 = 11376542, int(edited[s2]) = 0 s1 = 10794258, s2 = 11376542, d1 = 1, d2 = 17 Dl.O(d1) = 32903504,32903505,41828196,268125924,90977858 Dl.O(d2) = 114706759,114706760,128603519,141964245,154607623,260527184,176924690,186299615,185775604,176330899,176330900,176330901,272863644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10794258, s2 = 11376542, dlinesl.size( ) = 18 s1 = 14114163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114163, s2 = 8690305, int(edited[s2]) = 0 s1 = 14114163, s2 = 8690305, d1 = 11, d2 = 19 Dl.O(d1) = 149608852,149608853,149608854 Dl.O(d2) = 191581681,191581682,199003721,197596370,197596371,197596387,204104987,197596360,197596361,197596379,197596378,204104993,197596365,197596364,204104992,209535504,209535503,204105014,197596392,189953005,181088522,181088523,263731525,189953001,197596385,204105006,204104987,204104984,197596359,189952981,189952980,197596357,204104982,209535503,204105014,197596392,189953005,181088522,181088523,263731525,189953001,197596385,204105006,204104987,197596360,264067677,189952983,181088507,181088505,189952979,197596354,189952976,181088502,170982282,159665731,159665732,262946175,263731519,181088522,170982289,159665734,147315994,134102250,261471142,64750758,58572352,47183557,37277457,28744900,21486718,15482330,10706349,7073227,7073225,10706346,15482325,21486709,28744893,37277451,47183441,47183440,58572259,48735861,38815560,30232328,30232329,38815562,32992381,25268338,18696506,18696507,256627377,52271890,64120996,260852617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114163, s2 = 8690305, dlinesl.size( ) = 2 s1 = 14114163, s2 = 8690305, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14114163, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 10795717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10795717, s2 = 11238842, int(edited[s2]) = 0 s1 = 10795717, s2 = 11238842, d1 = 20, d2 = 25 Dl.O(d1) = 22595797,255307338,11424674,7594430,4803968,2947864,2947861,4273731,6813686,10348566,9954883,6542653,4098994,2452038,2452039,2899207,2899209,4810460,6936421,4358716,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,1404579,2428029,2905348,4056196,6472602,9853678,14342506,20024665,26908277,255289740,53519539,255696784,92990481 Dl.O(d2) = 262618290,261609942,259256954,257395568,22721484,30103140,38680346,259328621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10795717, s2 = 11238842, dlinesl.size( ) = 18 s1 = 11686460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14168203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10797019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10797019, s2 = 16123560, int(edited[s2]) = 0 s1 = 10797019, s2 = 16123560, d1 = 91, d2 = 93 Dl.O(d1) = 19223021,25882459,33688974,42719079,53168584,65152918,78434835,92471040,106776788,272026327,134828596,261063796,160196420,150305736,137264869,123533820,109342113,95087907,81029542,256284570,55216674,44365637,34987673,26907128,20023640,14341649,10299372,10299373,12586212,8538536,5536554,3422034,3422033,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587592,6765696,10291653,14939480,14939479,20838733,18212549,12917709,12917710,18212551,20187053,14483783,14483782,20187052,20349958,20349957,19117676,19049522,13598815,9311730,254202752,16546891,11532907,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,4136475,6603020,6603087,10048439,10044485,10044484,14596333,14596335,14599050,18667731,13276024,13276023,14407316,14407317,20094616,14603720,10048814,6603293,6603292,10048808,14603710,20346500,14939645,10274998,10274999,8240609,8240610,12209439,10054493,6606547,6606548,10054496,14612064,17854326,17854325,20841378,16255473,16255472,20860153,28027463,27288644,22758906,16546879,11532891,10376807,10376808,15050496,20838994,20892440,14988661,14988662,20867380,14965340,14965338,14965339,20867377,28035237,36498169,46356195,57705450,70399414,83925479,97784054 Dl.O(d2) = 258256240,259502954,181288890,190104961,261830516,209616423,214058412,217704935,263972162,225580038,227528806,229232905,230739320,265430266,233290573,234384750,235379859,236287015,237115722,237872170,238561089,239192923,239773113,240308927,240805993,266749224,242086791,242450118,242787230,267056116,243394507,243668556,243923326,244161146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10797019, s2 = 16123560, dlinesl.size( ) = 2 s1 = 10797019, s2 = 16123560, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10797019, Dl.E( ) = 96, 4.79e-05 seconds used appending s1 = 14189385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14237609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14237609, s2 = 14189386, int(edited[s2]) = 0 s1 = 14237609, s2 = 14189386, d1 = 21, d2 = 4 Dl.O(d1) = 74914348,88553124,102559872,116658935,130497747,143822130,156344220,167922457,167922458,167922460,156344217,143822128,143822127,156344215,167922458,167922460,167922459,167922461 Dl.O(d2) = 167922464,262287074,130497746,130497747,143822130,156344220,167922465,175855780,165134009,153322959,140644020,127298155,113439608,99437769,85496348,71911453,59173691,47774916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14237609, s2 = 14189386, dlinesl.size( ) = 24 s1 = 14070247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070247, s2 = 11048972, int(edited[s2]) = 0 s1 = 14070247, s2 = 11048972, d1 = 20, d2 = 14 Dl.O(d1) = 63731233,72488866,260614495,259700529 Dl.O(d2) = 269102968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070247, s2 = 11048972, dlinesl.size( ) = 8 s1 = 14910045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14910045, s2 = 13278389, int(edited[s2]) = 0 s1 = 14910045, s2 = 13278389, d1 = 15, d2 = 16 Dl.O(d1) = 258723951 Dl.O(d2) = 258131264,57734885,46385101,36525331,28059678,28059679,21274356,17311156,12186885,254583581,254264851,254133415,338961,186138,101786,56044,56043,101783,186133,338948,609163,1084618,1900140,3021717,254165166,563154,315386,315385,563152,999738,564483,316118,316119,564487,609193,1084690,1755985,1757987,1000764,1000762,254173501,1758646,1001266,564076,316050,174774,174750,96078,52995,52994,96075,174745,316004,564275,564251,564252,1001595,999548,999549,1756323,3021492,5000026,3021496,1756327,1756328,1000377,563524,315600,315599,174621,96009,52959,29805,29806,52961,96013,174629,315784,563645,1000537,565631,254128533,999105,1755697,3020769,1757691,1000499,563618,563619,999574,563058,563057,999572,1003352,1003351,1757574,1000414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14910045, s2 = 13278389, dlinesl.size( ) = 18 s1 = 10800248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14096249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14096249, s2 = 11462970, int(edited[s2]) = 0 s1 = 14096249, s2 = 11462970, d1 = 25, d2 = 17 Dl.O(d1) = 99894997,99894995,85940004,72346554,258760647,99895001,260603559,113913510,99894993,99894994,103663056 Dl.O(d2) = 263673277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14096249, s2 = 11462970, dlinesl.size( ) = 12 s1 = 14238423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14238423, s2 = 14129994, int(edited[s2]) = 0 s1 = 14238423, s2 = 14129994, d1 = 29, d2 = 25 Dl.O(d1) = 34313413,255450728,14122654,9716145,254590166,19696672,20888701,20888702,28058607,35096755,27010325,20118439,20118440,27010287,25911876,25911877,33718436,28163962,25912291,19250534,19250529,20118312,20118311,24484600,18061783,12805285,12805288,18061796,22835320,16614201,16614205,18155918,12874791,12874793,18155926,18062405,12805650,12805647,18062395,19696655,19251016,19251014,18062293,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,22098216,20171864,20171863,21876686,29188457,25356441,25356443,25356437,25356438,23446634,17171287,12073499,12073497,16115140,16115139,22253238,16115154,11194235,11194233,12700608,8628643,8628642,12700598,17925097,12700589,12700590,12909912,18200909,17925080,17925082,24309793,17925139,17925140,24309873,26607617,26607616,29485141,29485142,35096538,35096539,36493021,46350705,36493023,36493022,46350708,47961729,47961730,50560128,42036814,40524048,31826973,31826974,24580555,24580554,32165874,38048604,46918085,46918084,257285253,257285251,66866851,80296150,94352545,108640182,108640185,108640184,122904860,136736782 Dl.O(d2) = 199060265,191655408,183044560,262559469,162091468,162091474,162091473,173192401,183044564,183044563,191655413,191655409,191655410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14238423, s2 = 14129994, dlinesl.size( ) = 16 s1 = 14024981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14024981, s2 = 9662599, int(edited[s2]) = 0 s1 = 14024981, s2 = 9662599, d1 = 65, d2 = 52 Dl.O(d1) = 8508497,12549351,268260843,50302974 Dl.O(d2) = 264229854,211325365,263168506,184702930,175121697,164323146,152450132,139724933,258774592,98490087,270287649,46922759,38281892,29715104,29715103,38281891,46417825,36554601,36554600,46417824,57771606,70470956,261056387,151663152,272174874,184043718,192501260,199780680,205935440,211024637,264167878,221492695,223963745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14024981, s2 = 9662599, dlinesl.size( ) = 2 s1 = 14024981, s2 = 9662599, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14024981, Dl.E( ) = 70, 1.6e-05 seconds used appending s1 = 14144195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144195, s2 = 7485561, int(edited[s2]) = 0 s1 = 14144195, s2 = 7485561, d1 = 51, d2 = 73 Dl.O(d1) = 229223850 Dl.O(d2) = 228171843,228171844,265981089,232526786,233693626,266584283,238129678,238792868,239402411,266902273,240970103,241418101,241833038,267120559,267246325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144195, s2 = 7485561, dlinesl.size( ) = 60 s1 = 10801849, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10802438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10803228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10803228, s2 = 6793893, int(edited[s2]) = 0 s1 = 10803228, s2 = 6793893, d1 = 28, d2 = 34 Dl.O(d1) = 15855819,254940528,9299498,6091848,6091852,9299475,6092132 Dl.O(d2) = 258541088,258749693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10803228, s2 = 6793893, dlinesl.size( ) = 10 s1 = 14160869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160869, s2 = 11047266, int(edited[s2]) = 0 s1 = 14160869, s2 = 11047266, d1 = 0, d2 = 3 Dl.O(d1) = 268342761,10010278,6579194,6579195,10010280,14548205,255758171,35329022,44756885,259179381,257400613,36599910,256821521,41151686,47542000,256039058,31690024,24181445,17813097,12611295,12524060,8485965,5486838,5486839,5501303 Dl.O(d2) = 5501305,8499762,8568547,5564159,3447794,3447793,5564139,8568496,12612888,17728983,254410064,18966687,254275980,8502853,8502854,12543175,17729106,254867988,23712108,23712107,19514765,13968963,9592001,254460055,2361651,1367792,779070,441961,441964,771652,438370,438374,441976,779137,1368180,2188934,254294663,5860871,8977403,13169764,14201657,9762587,6418825,4026929,4026926,3655341,2186382,1268380,1268378,2186377,3655330,5855785,8970013,13159836,254813316,13721381,13721382,19208798,13720089,9398151,6157363,6157362,9398148,9398229,9398230,9398253,13720229,18782897,18782898,25366531,268026148,48393614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160869, s2 = 11047266, dlinesl.size( ) = 2 s1 = 14160869, s2 = 11047266, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14160869, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 10803833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10803833, s2 = 11381638, int(edited[s2]) = 0 s1 = 10803833, s2 = 11381638, d1 = 30, d2 = 27 Dl.O(d1) = 267223890,274903594,242570015,242215598,241832206,266801966,266672732 Dl.O(d2) = 265215102,228165780,226316937,226316936,265404028,228165778,265215100,226316937,224193759,221745127,221745126,224193757,226316935,224193762,264241008,263573532,193206569,193206568,262748224,193206569,261212490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10803833, s2 = 11381638, dlinesl.size( ) = 12 s1 = 10803981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10803981, s2 = 10803984, int(edited[s2]) = 0 s1 = 10803981, s2 = 10803984, d1 = 19, d2 = 14 Dl.O(d1) = 267861121,2256265,2256266,3765755,6019645,6020311,268025617,18871276,25467449,255262543,9193285,9193284,13444101,18867276,25467243,25467244,33214640,42174060,33214803,25467492,25467495,33214804,33217909,33144283,25404237,23558115,23558114,20065593,14381484,9887150,6496393,4070715,4070714,6496391,255325931,256215471,44405960,55253763,55253764,67595399,67595396,81063116,95120685,95120703,258526133,67595413,81063132,95120701,109374392,123565426,109374390,109374389,260987729,150338807,262573491,273498127,183313197,173511912,162473257,150338805,137297330,260395993,95120687,81063120,257905839,55253771,67595407,258526129,55253767,55253768,67595399,67595396,81063116,95120685,95120703,258526133,67595413,81063128,67595412,259155441,258526131,67595410,81063122,95120690,95120698,95120699,95120701,109374392,123565426,109374390,109374389,260987729,150338807,262573491,273498127,183313197,173511912,162473257,150338805,137297330,260395993,95120687,81063120,257905839,55253771,67595407,258526129,55253767,55253768,67595399,67595396,81063116,95120685,95120703,258526133,67595413,81063132,95120701,109374392,123565426,109374390,109374389,260987729,150338807,262573491,273498127,183313197,173511912,162473257,150338805,137297330,260395993,95120687,81063120,257905839,55253771,67595407,258526129,55253767,44405951,35030840,26950326,26950327,35030843,44405954,257905841,81063126,95120683,81063111,67595392,55253758,44405948,44405947,55253755,67595390,259155437,81063139 Dl.O(d2) = 44405961,44405960,55253763,55253764,67595399,67595396,81063116,95120685,95120703,258526133,67595413,81063132,95120701,109374392,123565429,262081325,150338808,150338810,162473262,162473261,162473262,173511915,173511914,173511913,183313199,191882323,199253692,205490921,210650989,214866846,218335757,221251486,223749196,225913918,227802194,227802195,227802196,229459873,228893215,265619332,265267620,213055094,208346429,264010958,187905940,178803516,169247624,261899584,132186862,118370309,104211165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10803981, s2 = 10803984, dlinesl.size( ) = 14 s1 = 14041173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14041173, s2 = 11006656, int(edited[s2]) = 0 s1 = 14041173, s2 = 11006656, d1 = 84, d2 = 93 Dl.O(d1) = 254966018,6593225,254467000,2470956,4130639,6593231,10032230,14579528,20315764,27247880,35372303,255731630,68101826,81591492,70531527,70531528,84067916,97940831,258508968,70309908 Dl.O(d2) = 36422429,27964080,20801818,14907951,255356647,27964081,27964077,27964076,258617561,37202983,268382962,5186855,5186856,8096235,12043096,17136582,16384787,16384788,22564674,255296426,16907439,19011389,25621208,25621207,29127189,21820304,15753950,10910324,7215629,4546388,4546389,7215633,9280897,13556193,18995939,14030430,11309915,11309914,15377026,18993916,13554325,9279352,9279353,13554328,13580072,9298475,9298476,13580073,11400161,11400160,13175580,13175581,13610220,9319524,6104865,3819801,3819802,6104868,9319533,13610240,19064727,22353689,16202366,16202368,22353691,25712405,19084644,19084645,256147803,33548293,25759437,19120668,19120667,19052695,13601174,9313269,9313271,13601177,19052700,22434945,25790909,33546014,25757340,19122263,13652946,9349093,6123604,6123603,8565501,5561745,3473845,3473846,5597346,8611975,12680110,13624285,13624287,255011918,10402240,6857130,6857131,4341639,4341638,6912674,6110502,6110503,9328425,13623083,19009210,19009212,25623803,27098856,25623814,19009229,16468651,11474531,7632119,4828566,2909725,1688034,254242273,4828557,255486899,17644289,12470201,8439423,5449227,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,7508039,8592585,8592587,12654528,17869807,15244375,15244376,17644084,15244383,15244382,21211377,24251105,17873705,17873706,13669600,9360848,9360850,10947567,10947566,14252826,12546235,8505496,8505495,12546227,17732716,24090166,31593482,31279511,24146720,23049096,23049097,30456819,25465987,25465988,25465966,18865810,13442598,10351164,10351166,13442615,18865831,25466000,21144035,17637167,12461000,12461002,12450728,8419114,8419115,5458369,3355863,1972883,1964431,1122005,1121813,629349,629351,1121822,1964076,3337156,5428601,5452690,5452693,5428433,5428429,5446146,3348027,3348026,5446122,5447404,8423588,8414677,254857251,17626168,23974068,31466746,23979996,268114435,8423877,268000201,15788081,21860386,255183237,5428443,3337061,1962512,1962508,3337046,5428413,5428705,5425746,3335402,3335399,3346612,3336619,3336618,3351612,3351613,5451968,270388946,31488564,268682976,6967863,4377508,254496255,10564257,12408803,8386605,8386606,12389308,8372367,5403407,5403406,6070045,6070046,4375116,4375114,6963905,9250197,9250195,10560174,6965070,6068733,6068734,8389128,12412370,13517550,18954181,15474066,10700496,8368795,8368794,8374555,8374554,12392324,15308459,13497446,13497447,10558142,10558140,15293468,21232226,18944488,13507860,10554157,6960915,6960914,10554156,15288878,11823872,11823871,9263431,6067329,3796208,2273887,1318611,752255,427298,427297,752252,1318603,1116287,1116286,1953984,3322049,5403290,8372182,6956756,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,10565041,15300684,254271990,21262645,28480443,255572728,24706722,254652220,5731847,3568926,3568927,5731852,8799514,12934813,11263406,11263404,16202764,22354143,22714415,22713333,22713334,22711518,16507449,11503106,7651606,7651605,11503105,16507447,22711146,22711147,19469551,13934155,9564639,6276520,3930197,2915476,2915475,4838140,7646980,11496791,11503123,7651616,4841260,2917412,1692343,962355,962354,1692340,2917406,4841249,7651610,11503113,9565022,6276809,3930377,254125788,3930384,3930383,254242634,1363078,2353063,3930126,2352896,2352895,3930123,6276386,4003869,2399315,1388324,789525,447187,254115643,1388318,2399308,4003862,3930394,2353050,254459337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041173, s2 = 11006656, dlinesl.size( ) = 60 s1 = 10805470, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10805470, s2 = 13067974, int(edited[s2]) = 0 s1 = 10805470, s2 = 13067974, d1 = 2, d2 = 5 Dl.O(d1) = 39316308 Dl.O(d2) = 257534869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10805470, s2 = 13067974, dlinesl.size( ) = 2 s1 = 10805470, s2 = 13067974, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10805470, Dl.E( ) = 22, 1.5e-05 seconds used appending s1 = 15157435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157435, s2 = 11475272, int(edited[s2]) = 0 s1 = 15157435, s2 = 11475272, d1 = 9, d2 = 6 Dl.O(d1) = 265155129,205902023 Dl.O(d2) = 263062607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157435, s2 = 11475272, dlinesl.size( ) = 12 s1 = 10805961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10805961, s2 = 14086590, int(edited[s2]) = 0 s1 = 10805961, s2 = 14086590, d1 = 10, d2 = 16 Dl.O(d1) = 262489871,260891665,259681199 Dl.O(d2) = 257811321,33478461,28399888,21179442,15218960,10497997,10497998,15218962,254860107,8438817,12469543,17642851,12468955,12461004,12461003,17637168,18777646,18777645,17629127,12450099,8418482,8418481,12450097,268002806,8429972,8429973,12461152,8446459,5455128,5455129,5443774,5443773,8432347,12463626,8614177,8451496,8451497,12474861,12474860,17647424,17649737,256027873,22342923,22342924,18048886,256570271,50904754,62505245,75424261,89171842,103261628,117390878,261889917,103293239,89198627,75446963,257706229,40802160,32042474,24477937,18056160,12800723,12800724,255607285,32042479,32042478,24477940,18056161,12800723,8703260,5665447,254640484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10805961, s2 = 14086590, dlinesl.size( ) = 18 s1 = 14086589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086589, s2 = 10805962, int(edited[s2]) = 0 s1 = 14086589, s2 = 10805962, d1 = 8, d2 = 13 Dl.O(d1) = 256570270,25834172,25834173,33637205,256027872,48154094,48154095,49448711,39516792,30907889,23472474,23472475,30907893,39516794,31469371,31469372,40153318,50178472,40290651,31607650,24105409,17746822,268002807,8513618,12557099,17746828,24105420,31607669,28809223,28809224,37347666,29879724,22523562,16350572,16350571,22523561,29879722,254860106,18881747,25484506,28290131,29717376,38284029,48193366,55322535,257811320 Dl.O(d2) = 259681198,260891664,262489870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086589, s2 = 10805962, dlinesl.size( ) = 18 s1 = 10806588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10806588, s2 = 11578230, int(edited[s2]) = 0 s1 = 10806588, s2 = 11578230, d1 = 29, d2 = 15 Dl.O(d1) = 240705473,274853390,238430546,237729181 Dl.O(d2) = 266364755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10806588, s2 = 11578230, dlinesl.size( ) = 24 s1 = 10806696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10806696, s2 = 10806704, int(edited[s2]) = 0 s1 = 10806696, s2 = 10806704, d1 = 0, d2 = 8 Dl.O(d1) = 239722650 Dl.O(d2) = 241609880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10806696, s2 = 10806704, dlinesl.size( ) = 28 s1 = 10807371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10807718, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14111763, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10808835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10809299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11687212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10810866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10811899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10812410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10813358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10813358, s2 = 11052300, int(edited[s2]) = 0 s1 = 10813358, s2 = 11052300, d1 = 33, d2 = 24 Dl.O(d1) = 172479159,161278524,148972717,135733747,121794272,107411666,93003558,78893752,257501114,43054130,33995248,26153569,23202307,23202308,30624648,39222400,33663504,33663505,35254222,27155259,20243777,20243776,27155257 Dl.O(d2) = 3755518,2249170,1304774,744534,422908,238622,131844,71649,38854,38855,71650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10813358, s2 = 11052300, dlinesl.size( ) = 2 s1 = 10813358, s2 = 11052300, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10813358, Dl.E( ) = 34, 2.81e-05 seconds used appending s1 = 10813554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10813592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10813592, s2 = 11214276, int(edited[s2]) = 0 s1 = 10813592, s2 = 11214276, d1 = 155, d2 = 171 Dl.O(d1) = 265522111,265828705,231033525,232344169,233529064 Dl.O(d2) = 59669725,258141443,57681865,46334871,256271803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10813592, s2 = 11214276, dlinesl.size( ) = 36 s1 = 14098237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14098237, s2 = 14058644, int(edited[s2]) = 0 s1 = 14098237, s2 = 14058644, d1 = 10, d2 = 10 Dl.O(d1) = 268912820,12824701,12824700,15917686,11039876,7314291,7314290,11039874,15917683,22018892,29350542,36914005,46791720,259283573,259405972,100185628,114217437,262738045,263564519,264233877,264772275,212047191,207161074,207161073,264772277,273349810,270320970,13016455,13016457,12747146,8662974,8662975,8744758,5693114,3541765,2108540,1214580,1214578,1197026,1197029,1197179,1197176,674159,674161 Dl.O(d2) = 268912820,12824701,12824700,15917686,11039876,7314291,7314290,11039874,15917683,22018892,29350542,36914005,46791720,259283573,259405972,100185628,114217437,262738045,263564519,264233877,264772275,212047191,207161074,207161073,264772277,273349810,270320970,13016455,13016457,12747146,8662974,8662975,8744758,5693114,3541765,2108540,1214580,1214578,1197026,1197029,1197179,1197176,674159,674161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14098237, s2 = 14058644, dlinesl.size( ) = 2 s1 = 14098237, s2 = 14058644, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14098237, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14058643, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14103871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103871, s2 = 11614270, int(edited[s2]) = 0 s1 = 14103871, s2 = 11614270, d1 = 5, d2 = 83 Dl.O(d1) = 131862783 Dl.O(d2) = 274946550,267169018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103871, s2 = 11614270, dlinesl.size( ) = 60 s1 = 10814817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10815214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14910743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14910743, s2 = 11444098, int(edited[s2]) = 0 s1 = 14910743, s2 = 11444098, d1 = 11, d2 = 12 Dl.O(d1) = 270322549 Dl.O(d2) = 274427492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14910743, s2 = 11444098, dlinesl.size( ) = 14 s1 = 14096831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14096831, s2 = 14084359, int(edited[s2]) = 0 s1 = 14096831, s2 = 14084359, d1 = 57, d2 = 42 Dl.O(d1) = 100540855,86580092,86580093,100540861,112146102,255140476,72871905,72712881,72712880,268660874,59196090,48740609,40523363,31826305,31826304,40523360,50559808,62052260,74850433,88486065,102492697,261329423,156288547,167872632,178303853,263126701,263126703,193593638,200704992,202373545,195520878,195520868,195520870,202373540,208135152,208135153,202373659,202373660,208135279,212886441,212886491,208135251,208135252,202373642,195520957,187508942,178303837,167872623,156288537,143763528,143763527,156288533,167872618,178303830,187508932,195520945,202373616,208135234,212342855,207502713,207502714,207502720,201630771,201630770,264582757,195520967,187508950,273147054,143763534,130436740,116594506,102492696,102492697,261329423,156288548,167872635,263269293,195520997,202373687,208135167,202373548,195520979,187508958,187508959,195520922,187508914,178303817,167872607,167872606,178303814,263651843,202373588,208135206,212886464,216771663,212886473,208135224,202373627,263997044,201630820,207502780,208135157,202373536,195520869,195520870,202373540,208135152,208135153,202373659,202373660,208135279,212886441,212886491,208135251,208135252,202373642,195520957,263946794,187508938 Dl.O(d2) = 99349104,98420008,84498308,70934137,58216858,46848941,36970110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14096831, s2 = 14084359, dlinesl.size( ) = 18 s1 = 14949635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116891, s2 = 11365086, int(edited[s2]) = 0 s1 = 14116891, s2 = 11365086, d1 = 27, d2 = 13 Dl.O(d1) = 167798902,263265075,195480640,202340088,208106699,212861227,208106695,208106694,212861225,208106696,264580181 Dl.O(d2) = 264277079,273574349,129659329,260108165,87741176,258940876,49872205,61353927,72023371,72023372,258191570,72331965,59596733,59596734,72331967,85925876,88071225,74459040,61675920,50191991,50191992,261845529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116891, s2 = 11365086, dlinesl.size( ) = 18 s1 = 10817731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10817731, s2 = 11031784, int(edited[s2]) = 0 s1 = 10817731, s2 = 11031784, d1 = 2, d2 = 30 Dl.O(d1) = 206569338,200536457,193392139,193392138,200536455,206569335,211554012,211554017 Dl.O(d2) = 215626637,264618126,211554011,273855733,261953582,255369338,28905857,28905856,23300115,23231479,23231480,30652904,255363364,23231475,23231474,20861558,20861557,28028816,28896550 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14192725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14134253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14041185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14041185, s2 = 11293722, int(edited[s2]) = 0 s1 = 14041185, s2 = 11293722, d1 = 16, d2 = 25 Dl.O(d1) = 256239837,44812205,55718744 Dl.O(d2) = 139969492,126615322,112759905,112759904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041185, s2 = 11293722, dlinesl.size( ) = 2 s1 = 14041185, s2 = 11293722, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14041185, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 15011631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15011631, s2 = 11555112, int(edited[s2]) = 0 s1 = 15011631, s2 = 11555112, d1 = 15, d2 = 17 Dl.O(d1) = 265602213 Dl.O(d2) = 265897356,233502401,266198553,265960315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15011631, s2 = 11555112, dlinesl.size( ) = 18 s1 = 10822462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10822710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10823074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10823046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10823459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128825, s2 = 14116356, int(edited[s2]) = 0 s1 = 14128825, s2 = 14116356, d1 = 23, d2 = 42 Dl.O(d1) = 261254584,207606098 Dl.O(d2) = 233992023,233992020,265744646,230196712,230196713,228619828,226826282,224769313,265025564,224769315,222399344,219638091,219638090,222399342,219638092,264265424,216369027,216369028,274205770,222399339,222399336,219638076,216369022,264546124,201760462,201760463,207606094,212426666,216369030,216369033,212426668,207606096,201760465,263214974,262784240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128825, s2 = 14116356, dlinesl.size( ) = 56 s1 = 14116355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116355, s2 = 14128826, int(edited[s2]) = 0 s1 = 14116355, s2 = 14128826, d1 = 55, d2 = 71 Dl.O(d1) = 262784241,263214975,177383109,186699949,194814192,201758823,207604646,212425352,207606102,201760468,201760467,264546125,216369035,219638097,219637132,216367914,274205771,216367922,212425364,264265425,201758830,207604657,207604647,207604648,212425354,216367913 Dl.O(d2) = 264265423,274006609,207604643,212425351,212425352,207606102,201760468,263603160,263214975,166834715,155141043,261254585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116355, s2 = 14128826, dlinesl.size( ) = 62 s1 = 14125371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14125371, s2 = 11017414, int(edited[s2]) = 0 s1 = 14125371, s2 = 11017414, d1 = 19, d2 = 21 Dl.O(d1) = 262662517,164535960 Dl.O(d2) = 270812775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14125371, s2 = 11017414, dlinesl.size( ) = 20 s1 = 10824383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10824383, s2 = 11068574, int(edited[s2]) = 0 s1 = 10824383, s2 = 11068574, d1 = 1, d2 = 2 Dl.O(d1) = 31030450 Dl.O(d2) = 32243584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10824383, s2 = 11068574, dlinesl.size( ) = 2 s1 = 10824383, s2 = 11068574, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10824383, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14146017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146017, s2 = 5468856, int(edited[s2]) = 0 s1 = 14146017, s2 = 5468856, d1 = 0, d2 = 23 Dl.O(d1) = 233289778 Dl.O(d2) = 237846199,237086471,236254641,235342851,235342852,236254643,237086474,237846198,237846197,238536930,239169693,274857366,266765933,238536935,237846201,237086481,237086480,237846208,266554487,236254644,266630325,237086476,237846209,266630327,236254646,235342854,235342853,236254644,266630325,236254645,235342854,234342850,233243688,232029435,230681313,229168181,227455361,225497284,223246918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146017, s2 = 5468856, dlinesl.size( ) = 2 s1 = 14146017, s2 = 5468856, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14146017, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 10827340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10828012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14019265, s2 = 14273557, int(edited[s2]) = 0 s1 = 14019265, s2 = 14273557, d1 = 48, d2 = 51 Dl.O(d1) = 254387979,7363442,267912960,29439164,38002237,47918078 Dl.O(d2) = 165306633,155938607,143398511,143398512,261306546,176001181,165306610,260137666,113600483,127475004,140833358,153512513,165306607,167550613,178018811,178018809,167550610,272267542,130068699,116160990,116160989,130068697,261848819,143398550,143398551,155938631,261306548,261306552,153512552,140833399,127475035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14019265, s2 = 14273557, dlinesl.size( ) = 12 s1 = 10828625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10828625, s2 = 14047330, int(edited[s2]) = 0 s1 = 10828625, s2 = 14047330, d1 = 5, d2 = 12 Dl.O(d1) = 106174194,271555521 Dl.O(d2) = 257813994,64853143,64853168,269518327,256666231,33517027,257222715,42517020,33517042,33517043,42517022,52927608,64853181,78050254,90572781,76703905,63613416,51824560,41543981,37222052,37222053,31839239,24319921,21444944,21444945,18285741,18285740,24762630,24703736,18233135,18233134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10828625, s2 = 14047330, dlinesl.size( ) = 14 s1 = 14047329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15202567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15202567, s2 = 9712182, int(edited[s2]) = 0 s1 = 15202567, s2 = 9712182, d1 = 25, d2 = 23 Dl.O(d1) = 255438357,15854785,21943296,29265015,37830709,257491607,71889370,270154790,72218451,59481301 Dl.O(d2) = 262193500,23185835,255967425,23185453,21632408,15601232,10792840,10792839,15601231,21632405,16560656,16560657,16566591,11548100,11548099,16566589,19873340,14238643,9788081,6434937,4036705,2418934,1400224,1400225,2418939,4036716,6434960,9788116,14238691,14238268,9787789,6434771,4036619,2418890,1400191,1400190,2418887,4036614,6434761,9787771,14238244,19872807,26674407,26674406,20156380,20156378,26675724,19858495,14227466,9780716,9780713,254966573,6434045,6434044,9786477,9948031,255332429,25305448,24704866,255654572,17241728,12124559,12124558,9781247,6430927,6430924,8156168,5226324,3188208,1865638,1865641,3188138,2146904,2146906,3599103,5776521,8861910,13015716,9781125,6430876,4034455,4034456,6430878,268734538,256204115,43944423,54686889,258251891,61421928,52355478,42016259,33072209,25342319,25342320,33072211,29806531,22440240,22440241,29806532,38378377,48289062,59676099,72411467,86008053,99967401,113990795,127869052,141228121,153899906,263162289,176343480,185787446,194024882,201083728,207032558,211940997,211073782,205992115,199845319,192573755,184123353,174474745,163638637,151763314,139061230,125722366,125722365,111904947,111904948,100335699,86378420,72782279,60043427,60043428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15202567, s2 = 9712182, dlinesl.size( ) = 20 s1 = 14051325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051325, s2 = 11489536, int(edited[s2]) = 0 s1 = 14051325, s2 = 11489536, d1 = 12, d2 = 11 Dl.O(d1) = 259410775,261205277,154194531,165953917,263176923 Dl.O(d2) = 273872051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051325, s2 = 11489536, dlinesl.size( ) = 8 s1 = 14010343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14010343, s2 = 11122638, int(edited[s2]) = 0 s1 = 14010343, s2 = 11122638, d1 = 48, d2 = 0 Dl.O(d1) = 267294324,244805342,244982689 Dl.O(d2) = 138804494,260468865,111676277,111676274,97757907,83901428,257998219,46337629,256272025,20853644,14952840,10286793,6761894,4237558,4105503,2927058,1697907,1697910,2927063,4857116,7675495,7675496,10284167,6759640,4235950,4235951,6759642,6766871,9089946,9089945,10367507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14010343, s2 = 11122638, dlinesl.size( ) = 2 s1 = 14010343, s2 = 11122638, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14010343, Dl.E( ) = 68, 2.5e-05 seconds used appending s1 = 10829958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10830341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103283, s2 = 11313478, int(edited[s2]) = 0 s1 = 14103283, s2 = 11313478, d1 = 24, d2 = 17 Dl.O(d1) = 258765828,40110511,42569969,33602069,33602070,36519151,36519150,29812805,22445369,16276168,12020349,8079910,254386009,1847497,1847498,3156674,5175331,7524109,7527603,7526309,5110382,4994228,3017371,3017370,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590256,1043604,1828462,3127786,254568605,5126848,8036776,5177842,5171040,267902833,254569691,11997709,8071786,5165585,3147828,1841364,1050773,591020,267740365,181612,329634,591016,1050765,1841351,3147807,5165557,8071761,12013831,17099683,23368082,23337128,23337127,23367115,23369552,17101030,12015355,8073965,5168387,3150584,3150585,5168388,8073966,12015356,254253436,22587397,255100737,7591117,7747695,9117695,9117697,11443163,7609542,4814132,4814134,7609549,11432743,7601253,4808631,2898057,2897989,2897988,4808498,7601056,11432853,10348777,6813872,4803756,4803244,2895026,2895027,4803247,4802886,4802885,4802994,4802993,7592976,11421869,16405674,22582258,271812321,262503364 Dl.O(d2) = 272091961,14417484,13138028,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769229,1348075,2325526,3883635,6204785,9463062,13798882,9462495,6204405,6204404,9462492,6268368,3924697,3924698,6268370,8931204,5829337,3637418,2173497,2173498,3637420,3768055,3768058,6023020,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,5970416,3733695,2235470,2235473,3733708,5970441,9124046,254939951,18752653,25332149,18768156,18768157,268916516,257716816,9132687,9132616,9132619,10416127,13363180,18766306,18766551,18766549,25347939,33078463,29654106,22302456,16156828,11225245,11225244,16156827,22302453,29654100,38220111,48130133,48262325,38351350,29778995,29778994,38351347,46731486,256523066,50060254,261292423,155723982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103283, s2 = 11313478, dlinesl.size( ) = 28 s1 = 14010437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10831726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10831726, s2 = 14010442, int(edited[s2]) = 0 s1 = 10831726, s2 = 14010442, d1 = 56, d2 = 48 Dl.O(d1) = 257888518,259573253,75548874 Dl.O(d2) = 32081595,24507711,18079126,255609185,11773419,11773420,16836012,12817595,255215653,24507710,32081593,39100894,30504712,23090307,19799272,14181988,14181987,14176226,14176228,9745729,6408324,4020368,2409093,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393933,2408935,4020091,6407841,9744621,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147075, s2 = 11183344, int(edited[s2]) = 0 s1 = 14147075, s2 = 11183344, d1 = 29, d2 = 31 Dl.O(d1) = 233705206,266505389,266585072,238382253,274836177,266750904,237660849,266535696,265248700,274014118 Dl.O(d2) = 259513404,257658170,39978982,48128440,48128439,59515818,72250030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147075, s2 = 11183344, dlinesl.size( ) = 32 s1 = 14059983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14059983, s2 = 14168335, int(edited[s2]) = 0 s1 = 14059983, s2 = 14168335, d1 = 28, d2 = 24 Dl.O(d1) = 39177765,39177766,49107755,60511205,60126349,48731775,48731776,48732262,38812048,30229280,22837270,22837271,30229283,31586349,24080646,17723487,12539236,267913721,5502166,8500487,12539233,17723514,24080694,31586426,40273272,40273271,46607406,52399866,64255335,73262563,74682911,71394152,58659254,58659253,71394150,58659258,47267607,37357639,28817974,28817976,37357642,47267611,58659265,50239041,40218903,40218904,47267704,58659343,71394206,70851235,70851233,64272172,52416598,42072802,37290175,37290174,47198469,49114748,60516963,73262558,86874778,84253028,71394173,58659289,47267636,37357662,28817985,21548833,15530629,15530628,10741148,10741147,15530631,21548839,28817995,34047220,34047219,34047224,43122799,46607084,36719370,28225881,255375927,15104827,21029736,22451295,22451296,29818841,38391311,48301635,49095964,49095965,57984142,257169396,46607505,36719326,36719327,46607194,268604809,21029709,21029708,28225837,28225567,21029525,21029524,28225563,255474521,11323421,11323422,16282147,22451316,29818875,28225851,21029716,21029718,28225855,24028816,17678331,17678332,258019506 Dl.O(d2) = 9774577,14217866,19845415,26659653,34650984,29879743,22523594,16350597,16350596,22523592,29879738,38438330,40164311,31479606,31479605,40164309,50188582,50185882,40161665,40161664,49370773,49370772,60772689,49779414,49779415,254272594,49265950,254600008,58004643,254407778,46627897,36739940,36739941,46627900,46629717,46629716,42723819,42723820,53173540,50175514,50175515,47716328,39340011,39340012,254860626,36741881,36741882,29365888,22035313,15933777,11056614,11056613,15933772,22035307,28035978,25889168,25889165,23614992,23614991,22772894,22772895,30161695,37305565,40158215,39776889,31098658,31098657,36741040,36740887,36740886,34169357,34169358,256026492,28244337,21044962,15116360,10426710,10426709,15116358,255804241,36739656,46627009,36738925,36738926,28246030,28246031,25076612,25076613,267911406,26659641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14059983, s2 = 14168335, dlinesl.size( ) = 40 s1 = 10832171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10832276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10832276, s2 = 10832294, int(edited[s2]) = 0 s1 = 10832276, s2 = 10832294, d1 = 20, d2 = 25 Dl.O(d1) = 259134799 Dl.O(d2) = 254604926,254188440,8552010,5549776,3434939,3434938,5549774,8552003,12602246,17802715,24170171,31646508,24140059,17775778,254611972,24060227,17797280,254869998,31674655,268688674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10832276, s2 = 10832294, dlinesl.size( ) = 36 s1 = 14101205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10833921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10833921, s2 = 6962726, int(edited[s2]) = 0 s1 = 10833921, s2 = 6962726, d1 = 18, d2 = 26 Dl.O(d1) = 71143572,58421868,47046980,37156148,28640414,28640415,37156149,47046982,58421870,71143573,80268495 Dl.O(d2) = 260661044,127505936,140861930,153538300,165330085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10833921, s2 = 6962726, dlinesl.size( ) = 20 s1 = 10836551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10837053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100613, s2 = 10837701, int(edited[s2]) = 0 s1 = 14100613, s2 = 10837701, d1 = 11, d2 = 11 Dl.O(d1) = 112121703,112121704,113133554,99143187,85220595,85220594,99143185,113133551,126991858,140346187,140346190 Dl.O(d2) = 112121703,112121704,113133554,99143187,85220595,85220594,99143185,113133551,126991858,140346187,140346190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100613, s2 = 10837701, dlinesl.size( ) = 2 s1 = 14100613, s2 = 10837701, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14100613, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14901649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14901649, s2 = 11373748, int(edited[s2]) = 0 s1 = 14901649, s2 = 11373748, d1 = 6, d2 = 12 Dl.O(d1) = 270361519 Dl.O(d2) = 257226804,17279446,12158884,8189465,8189466,12158886,254937026,255686442,26378635,272723388,273314204,166850471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14901649, s2 = 11373748, dlinesl.size( ) = 14 s1 = 14051959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088213, s2 = 11138546, int(edited[s2]) = 0 s1 = 14088213, s2 = 11138546, d1 = 15, d2 = 1 Dl.O(d1) = 256886874,46624940,46624939,58000981,70717120,269770955,256831393,36736873,46624924,46624923,46624926,43138400,43138399,257008209,39136387,34061578,34061579,34061575,30537679,23118794,23118793,25640844,25640843,30537503,30537501,30537582,30537580,39136557,30553721,23135718,16875291,16875290,23135717,30553719,39151685,49066869,49066870,49081854,49081853,53933126,43406252,43406253,43138395,43052560,33993679,33993680,30537695,26206044,26206043,34061571,30436773,29702063,22347791,16197792,255466763,23118803,16859178,16859177,23118799,30537688,29050692,29050691,30537601,23118731,23118732,30537428,23118598,23118597,30537425,39136391,49066699,49066702,39136663,30537692,23118806,23118805,30537690,39136661,255520374,21876027,21876026,23118649,16859091,16859088,11791569,11791568,16859086,11791579,11791578,268240381,23118704,23118654,23118655,30537511,39136492,30537525,29187703,21876028,16859124,11791595,7873963,7873964,11791596,16859126,15135556,15135558,21070957,28274280,36769489,46654061,46654055,46654056,58025995,70739620,73217095,257588947,39136686,39136685,49066981,53714752,43202350,43202351 Dl.O(d2) = 256804515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088213, s2 = 11138546, dlinesl.size( ) = 2 s1 = 14088213, s2 = 11138546, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14088213, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 14100333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100333, s2 = 11366518, int(edited[s2]) = 0 s1 = 14100333, s2 = 11366518, d1 = 13, d2 = 2 Dl.O(d1) = 125469065,125469063,111667729,111667730,261047517,151497499,163380098,263056767,175919489 Dl.O(d2) = 259974025,258730681,71956050,259355853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100333, s2 = 11366518, dlinesl.size( ) = 14 s1 = 10839826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10840350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10840350, s2 = 10840364, int(edited[s2]) = 0 s1 = 10840350, s2 = 10840364, d1 = 24, d2 = 32 Dl.O(d1) = 247025257 Dl.O(d2) = 246794989,246730893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10840350, s2 = 10840364, dlinesl.size( ) = 40 s1 = 14281913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14042669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14042669, s2 = 11647360, int(edited[s2]) = 0 s1 = 14042669, s2 = 11647360, d1 = 59, d2 = 6 Dl.O(d1) = 21835513,15766420,15766419,21835512,29143199,21846099,21846100,29143124,37703643,254162426,37716775,29156129,29156130,29158346,29156822,29156823,37704440,29153828,21845193,21845192,21835501,21835500,254342376,29142979,29142978,23321842,17056637,11965481,8009650,254098886,17056635,254230796,15775621,10927511,7228751,7228750,5121868,4559664,2741869,1588961,903262,509437,509438,903264,1588964,2741881,4559686,7233252,10932368,15781077,21852002,21871510,29182281,34210471,254750606,37717039,34210512,34210513,254821054,19608035,19608034,23029590,23029589,24331052,17942670,14050561,14050562,19608415,26335956,19607670,14050043,14050045,255715173,34209808,34209807,28432695,28432696,34209780,26335931,19607656,19607657,26335934,29160546,256901885,257023906,85375877,271323727,262779572,200685275,263949508,211645893 Dl.O(d2) = 172851544,161693627,261701300,260574928,93365087,258731342,53805226,43280259,256375038,19587031,26312031,33164460,25422121,25422122,268744979,29049869,21755928,256353511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14042669, s2 = 11647360, dlinesl.size( ) = 48 s1 = 14072037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072037, s2 = 14066494, int(edited[s2]) = 0 s1 = 14072037, s2 = 14066494, d1 = 65, d2 = 64 Dl.O(d1) = 256721201,26599753,19793551,14177868,14177869,10042697,10042696,14594963,20334985,16130934,11205631,255083727,13360456,9130873,9130872,13360452,18762467,25342850,254521876,27272088,21903224,21903225,26096981,33930359,29398065,255445686,13767803,9437504,6185925,3871146,2318349,1344132,1344136,1344229,1344231 Dl.O(d2) = 5990106,254648187,10995772,10995777,15864650,21956593,29281656,257493459 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14066493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14066493, s2 = 14072038, int(edited[s2]) = 0 s1 = 14066493, s2 = 14072038, d1 = 10, d2 = 6 Dl.O(d1) = 257493458,15944737,11066856,11066857,15937343,15937338,254648186,18243870 Dl.O(d2) = 2263125,2263147,1313166,1313162,2263434,3778819,6040393,9223946,13482625,255445687,22051192,15947905,11082210,11063387,7335623,4633776,254521877,11063383,15942991,22045979,29376633,37942273,34651629,255083726,19845741,26660142,33296551,29304835,29304833,29304887,29304888,33184417,35186295,35186296,256721200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14066493, s2 = 14072038, dlinesl.size( ) = 12 s1 = 14086607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10842850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10842850, s2 = 11293396, int(edited[s2]) = 0 s1 = 10842850, s2 = 11293396, d1 = 9, d2 = 13 Dl.O(d1) = 129809831,115910147,259505979 Dl.O(d2) = 101864189,101864188,273239012,261984988,87890672,260120835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10842850, s2 = 11293396, dlinesl.size( ) = 14 s1 = 14039419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039419, s2 = 10843229, int(edited[s2]) = 0 s1 = 14039419, s2 = 10843229, d1 = 10, d2 = 2 Dl.O(d1) = 32542772,25070563,18528358,18528359,25070564,23737404,17546085,12376487,8363377,8363378,10508144,10508145,12383405,8367985,8367983,12258208,12258209,17394634,23718422,31205478,31210200,23724209,17400364,12262587,8281250,5342904,5342905 Dl.O(d2) = 13460573,16017308,16017307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039419, s2 = 10843229, dlinesl.size( ) = 12 s1 = 10843230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10843230, s2 = 14039420, int(edited[s2]) = 0 s1 = 10843230, s2 = 14039420, d1 = 3, d2 = 11 Dl.O(d1) = 6958939,4372305,4372304 Dl.O(d2) = 10528536,12064576,12064575,12065954,12065953,17155082,15607240,15607239,15277292,10554308,6961033,4373514,2619927,2619929,4373527,6961050,10554324,15289043,12059387,8108295,8108296,12059389,17155965,23432235,30862247,31112021,23625600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10843230, s2 = 14039420, dlinesl.size( ) = 12 s1 = 10844051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10844582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10844884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10844884, s2 = 11052760, int(edited[s2]) = 0 s1 = 10844884, s2 = 11052760, d1 = 0, d2 = 0 Dl.O(d1) = 17216456,17216457,23511549,30969959,39613981,42423954,33431890,33431893,42424133,43552304,34394846,34394849,43552340,49505063,39668539,39461876,39461880,34946538,34946533,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423366,4047988,2423733,2423727,4049264,6447469,6447466,9811075,14277793,19767730,26565715,34545321,256245446,66782964,257945090,257941752,257346436,63666663,76759223,67390995,67390994,79887389,257361890,80414596,270494555,63674871,51876848,51876847,63674868,76768373,90634304,104804764,108885954,258564604,123321517,271618665,93536488,80594761,67139807,54837057,44048882,44048880,54837091,67139874,75468762,73762923,60994927,49674858,49674855,61007150,49568560,49568559,55184209,49568646,45247768,35704400,35704402,32057589,24490644,18066411,12808533,8946633,8946629,5839900,3644485,3644482,5839888,8946666,13126916,18477511,25003928,31888002,255767498,54433552,43737298,43737297,51870356,54407969,43719466,43719470,44339220,44339225,54422678,51684494,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,34933772,34799765,26764020,26764025,34799751,34807462,43035082,33978090,26770843,19922219,19922223,26501426,19908973,14261190,14261187,19909002,26750023,34779741,43285354,52239935,41903041,41903046,52239921,64087150,77229209,80215874,66788665,66355054,55060188,254992130,34875203,44229179,51870358,41579005,32682673,32682672,41579003,254989794,26480784,26480714,19724954,19724955,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041184,2421178,2421176,4041261,6443692,9803915,14265666,19917002,26763208,34798734,36774954,46217448,43390227,34290736,26414849,26414854,34290727,34290668,26414965,26414967,34290930,43390523,53914328,54026678,66129868,64258369,64258366,72574539,59838271,48450595,38540907,38540909,48450575,48450577,53547252,59835015,59839192,59839191,66532780,54341767,54341769,66532783,66125302,60129556,60129557,72866308,86461768,78601707,73950257,66135561,66129189,54030981,54030984,54552876,54198261,54198265,43992529,43992527,54746812,67015782,64227629,59844688,48455032,48455029,48752695,39651190,39651187,49643912,51485526,51485523,44932803,44932805,51471582,43542866,43542867,44215488,43540095,43540099,34864544,34864547,34864683,26810819,26810823,34864708,44216710,55046284,67196325,61017707,54876244,54876246,49016725,49016726,60420507,256778290,60960862,49535348,49535351,60960872,50631552,50631554,41577930,32682028,30995946,30995945,39655379,49650470,51851421,41564336,32671008,24994770,22788418,16572556,11553610,7687583,7687584,7735073,4897225,2951391,2951390,4897224,4803299,4803297,6474859,6474858,9857053,11423455,7593329,7593330,7592302,7592300,5983834,3741691,2932791,2932792,4867053,7691129,5984517,3742098,2240214,2240213,3742096,4860500,4860501,7482784,7482783,5625408,3495087,2076510,1193170,671211,671213,1193176,971708,547268,306473,169597,93365,93366,169602,306483,547293,971748,1709602,2947838,2892955,2892954,4799619,2931638,1700303,1700299,2931632,2903351,2903352,4817079,2903074,2903072,4817269,4817581,7614528,7740675,7611232,4818328,2947481,2947482,2947524,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,6542417,7602762,4809681,4809682,2899633,2899634,4811272,7605004,11437250,255081603,11183983,16101384,19528415,22282967,22282968,29635379,29506264,29506265,255579304,16101783,16101784,22236858,16101741,11184775,7421284,4689713,4689715,7421287,11184785,15822866,15822865,16102054,11215757,11215756,16144219,11216132,11215805,7441945,4702205,2832796,1643453,1643454,2832799,4702213,7441958,7441873,7441875,11215770,16101079,16142782,16144296,22287805,22286774,22286773,22166229,16043651,11139966,7388925,7388923,11139959,16043643,22166222,23381142,22287065,16143253,16143254,15348162,10602354,6995227,6995230,10602359,15348168,21318858,16113398,15845794,254652706,37819705,256068930,26688622,19869505,255219106,34682805,28551939,26734106 Dl.O(d2) = 17216456,17216457,23511549,30969959,39613981,42423954,33431890,33431893,42424133,43552304,34394846,34394849,43552340,49505063,39668539,39461876,39461880,34946538,34946533,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423366,4047988,2423733,2423727,4049264,6447469,6447466,9811075,14277793,19767730,26565715,34545321,256245446,66782964,257945090,257941752,257346436,63666663,76759223,67390995,67390994,79887389,257361890,80414596,270494555,63674871,51876848,51876847,63674868,76768373,90634304,104804764,108885954,258564604,123321517,271618665,93536488,80594761,67139807,54837057,44048882,44048880,54837091,67139874,75468762,73762923,60994927,49674858,49674855,61007150,49568560,49568559,55184209,49568646,45247768,35704400,35704402,32057589,24490644,18066411,12808533,8946633,8946629,5839900,3644485,3644482,5839888,8946666,13126916,18477511,25003928,31888002,255767498,54433552,43737298,43737297,51870356,54407969,43719466,43719470,44339220,44339225,54422678,51684494,41437549,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,34933772,34799765,26764020,26764025,34799751,34807462,43035082,33978090,26770843,19922219,19922223,26501426,19908973,14261190,14261187,19909002,26750023,34779741,43285354,52239935,41903041,41903046,52239921,64087150,77229209,80215874,66788665,66355054,55060188,254992130,34875203,44229179,51870358,41579005,32682673,32682672,41579003,254989794,26480784,26480714,19724954,19724955,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041184,2421178,2421176,4041261,6443692,9803915,14265666,19917002,26763208,34798734,36774954,46217448,43390227,34290736,26414849,26414854,34290727,34290668,26414965,26414967,34290930,43390523,53914328,54026678,66129868,64258369,64258366,72574539,59838271,48450595,38540907,38540909,48450575,48450577,53547252,59835015,59839192,59839191,66532780,54341767,54341769,66532783,66125302,60129556,60129557,72866308,86461768,78601707,73950257,66135561,66129189,54030981,54030984,54552876,54198261,54198265,43992529,43992527,54746812,67015782,64227629,59844688,48455032,48455029,48752695,39651190,39651187,49643912,51485526,51485523,44932803,44932805,51471582,43542866,43542867,44215488,43540095,43540099,34864544,34864547,34864683,26810819,26810823,34864708,44216710,55046284,67196325,61017707,54876244,54876246,49016725,49016726,60420507,256778290,60960862,49535348,49535351,60960872,50631552,50631554,41577930,32682028,30995946,30995945,39655379,49650470,51851421,41564336,32671008,24994770,22788418,16572556,11553610,7687583,7687584,7735073,4897225,2951391,2951390,4897224,4803299,4803297,6474859,6474858,9857053,11423455,7593329,7593330,7592302,7592300,5983834,3741691,2932791,2932792,4867053,7691129,5984517,3742098,2240214,2240213,3742096,4860500,4860501,7482784,7482783,5625408,3495087,2076510,1193170,671211,671213,1193176,971708,547268,306473,169597,93365,93366,169602,306483,547293,971748,1709602,2947838,2892955,2892954,4799619,2931638,1700303,1700299,2931632,2903351,2903352,4817079,2903074,2903072,4817269,4817581,7614528,7740675,7611232,4818328,2947481,2947482,2947524,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,6542417,7602762,4809681,4809682,2899633,2899634,4811272,7605004,11437250,255081603,11183983,16101384,19528415,22282967,22282968,29635379,29506264,29506265,255579304,16101783,16101784,22236858,16101741,11184775,7421284,4689713,4689715,7421287,11184785,15822866,15822865,16102054,11215757,11215756,16144219,11216132,11215805,7441945,4702205,2832796,1643453,1643454,2832799,4702213,7441958,7441873,7441875,11215770,16101079,16142782,16144296,22287805,22286774,22286773,22166229,16043651,11139966,7388925,7388923,11139959,16043643,22166222,23381142,22287065,16143253,16143254,15348162,10602354,6995227,6995230,10602359,15348168,21318858,16113398,15845794,254652706,37819705,256068930,26688622,19869505,255219106,34682805,28551939,26734106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10844884, s2 = 11052760, dlinesl.size( ) = 2 s1 = 10844884, s2 = 11052760, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10844884, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10844926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10844926, s2 = 11144324, int(edited[s2]) = 0 s1 = 10844926, s2 = 11144324, d1 = 6, d2 = 10 Dl.O(d1) = 58769809,58769810,58825466,47438796,37530660,35175056,27086979,20188940,14485536,14485535,17687086,24038777,31542042,40228438,50248276,47381680,37474333,28932805,28932806,37474336,47381684,58768901,71498359,85070458,98996108,85070444,85070443,98996105,99049181,271312264,86572406,72974629,257465374,38923198,38923200,48843650,58769212,71498616,85070694,72978484,72978483,85070702,71498625,71498624,71553498,58825476,47438805,37530667,28986095,21702898,21702899,28986096,37530671,47438817,257575584,58768887,58768888,60237830,59560689,48174035,38264423,256943823,59560692,65129487,78411121,85887727,72295066,59560686,48174032,38264422,38264421,48174031,59560683,71498375,67738194,67738195,71553491,67738192,67738191,81202773,86576049,72978486,60242219,60242220,71498606,58769204,47382055,47382056,58769207,58825464,47438791,37530658,37530657,47438785,58825460,71553483,85124254,98996132,85070468,71498372,58768912,58768911,58768937,256995158,256995475 Dl.O(d2) = 43854340,43854343,54598307,58768932,47381714,38923598,38923599,268652876,47382078,37474714,28933140,21655507,15620578,15620577,21655502,21660293,15624164,10810395,10810394,15624161,21655256,21655257,28932834,37474368,38923592,30337255,30337254,37474343,28932811,21655237,15620399,10807694,10807693,11661637,16701080,22936006,30336825,22935951,16701040,11661608,11661610,16701043,22935956,30336829,30337054,30337055,38923352,34583019,29821240,22936025,22936024,30336916,38393579,38923595,47354728,37481122,28939143,21660307,256344055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10844926, s2 = 11144324, dlinesl.size( ) = 14 s1 = 14910863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14910863, s2 = 11200819, int(edited[s2]) = 0 s1 = 14910863, s2 = 11200819, d1 = 57, d2 = 55 Dl.O(d1) = 50464630,40426922,257098991,257772343,269071940,18706502,13313139,13313137,18706500,25279115,256113554,25279007,18706434,13313094,13313093,18706432,25279005,33003798,41945624,52286163,254913082,41943816,254643690,52285993,52285992,64137970,64136468,64136469,77285502,64137957,52285968,41945410,41945409,52285966,64137953,62987491,51309145,41126191,41126190,48921016,48921017,52286109,41945572,41945571,52286106,52286270,52286269,51003146,51003147,62625938,64136474,52284380,52284379,62987492,62987493,62987496,75970031,77285504,257772338,41945642,52286185,59592898,257772340,62625931,258322061,77287020,269494332,73060905,73060906,64138117,52286181,41945639,33003807,33003806,41945637,41126194,41126193,51309149,51309157,51309158,62987511,75970043,89748987,75970036,62987502,51309154,51309155,60765147,60765148,64138111,64138110,77287022,72327604,59592902,48206357,38296959,29729894,22372976,22372975,29729892,38296956,48206348,59592895,72327591,85921161,87133184,73514371,60765136,60765137,60765141,52286171,52286170,60591995,60591994,70884661,72327574,85921144,87133175,85921142,72327572,59592877,48206338,38296952,38296951,48206337,59592875,72327569,60765119,60765120,60592006,49191701,49191702,48206352,39265578,30669750,30669751,39265582,49191686,48206342,48206341,59592882,72327575,73060907,60319687,48921023,39265585,39265586,49191693,60592001,73336365,72327586,60592010,60592011,73336374,259453249,114983329,259617945 Dl.O(d2) = 3954120,6309217,9606139,13984333,19531326,26248576,257259301,65767280,79122912,93239240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14910863, s2 = 11200819, dlinesl.size( ) = 2 s1 = 14910863, s2 = 11200819, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14910863, Dl.E( ) = 70, 1.88e-05 seconds used appending s1 = 10846081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10846081, s2 = 10846078, int(edited[s2]) = 0 s1 = 10846081, s2 = 10846078, d1 = 95, d2 = 70 Dl.O(d1) = 24300911,17917733,17907310,12686190,12686191,17781649,24148335,23626832,23626831,23877663,23877664,24288188,17906822,17688069,17688068,22344821,256031569,17688402,12510116,12510115,17688400,23626713,254863838,12186671,254863788,5393332,5393334,8355782,10404350,10404348,15084419,10966663,10966660,15825309,20117365,19105406,13640965,9341076,6118569,6118571,9341083,13640977,19105428,16006907,11113177,11113176,16007022,11112840,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532672,21906304,16007126,11112928,7370441,4656163,4656162,7370440,11112926,11113204,11113201,11112721,7370591,7370592,11113068,7370551,7370550,4656257,2805105,1627262,1627263,2805109,4656272,7370629,4656365,2805161,1627285,925330,521601,521600,925324,925293,521586,521587,925297,1627219,2805017,4656109,7370341,11112753,16006922,16007424,11113213,7370679,7370678,4656374,4656373,7370821,11113401,16007629,16007459,11113254,7370711,4656601,4656600,4656641,7356707,4647141,2799238,2799237,4647135,7356701,4656237,2805095,1627257,925315,521595,521596,521607,521608,925347,1627312,1627363,2805293,4656634,7370669,7370670,7370659,4656290,2805120,2805118,4656263,4656101,4656100,7370325,11112733,15979282,22085574,15979267,11092766,11092767,7370831,7370832,7370815,7370814,7370996,11113656,16007466,11113259,7370715,4656325,2805135,2805131,4656317,2805214,2805218,4656483,7371016,7370430,4656156,2805044,2805043,1627332,925362,521617,292374,161728,161729,292380,521626,925389,1627368,2805281,4656617,7371225,11113849,11113909,255075113,16007996,16007995,16007678,16007679,11113682,11113681,11113680,11113679,7371189,4656591,2805267,2805266,4656589,7371186,11113901,16008264,255886851,38017574,38018147,29456095,22122097,22122096,29456092,29455743,29455746,29454892,22121435,22121436,29416210,29416211,37979141,39928408,33340950,33340948,25581563,25581561,25581596,25581595,33340998,29276238,29276237,37843061,31253001,29456002,256382513,38017882,269334986,38017880,47203284,37295675,268922383,47931984,255190262,268444902,22121996,29456001,33341022,42321910,42321833,42321832,47932096,59323979,256537580,48180126,268449030,47944507,59336327,72070692,257668016,100393377,88443539,88443538,85645863,85645864,258276724,48711734,48711735,38789681,38789683,48711701,48711688,38789568,30204790,22813315,22813316,28258777,28258778,36753790,46639922,37777497,37777496,29468139,29468140,38030664,256041948,28207938,36698778,257407251,38789628,38789629,48711739,256924472,257503053,57961992,53330232,42868915,33827773,26009943,26009944,33827775,38017467,47931634,59323784,60107017,60107032,256041950,255199570,30684028,23267055,17003073,17003074,22813406,16595175,16595174,22813400,30204932,255580086,59324064,256031876,48711468,48711441,38789249,30204483,30204484,38789250,256041952,46585436,38789729,36698785,36698783,30204692,30204693,38789459,258173345,258039756,60607868,269403848,48711436,48711437,48711448,38789257,30204910,22813385,22813386,30204912,31511111,29216555,29216556,37777538,37631145,29080818,29080819,37631151,38000060,47916063,59310222,50219168,50219167,50219217,50219216,61701006,74483985,61700993,50219169,40197018 Dl.O(d2) = 260146015,259763778,74638872,271416963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14071627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14071627, s2 = 14114348, int(edited[s2]) = 0 s1 = 14071627, s2 = 14114348, d1 = 17, d2 = 15 Dl.O(d1) = 53460011,42985164,256592440,255623642,13885843,19408752,26097832,33931184,42985175,53460027,65480570,65480574,65480573,78811234,92917541,107322071,121702992,125508495,111702253,97780154,97780155,111702254,125508496,138840885 Dl.O(d2) = 97779915,97779914,111701919,125508053,111702026,97779982,83921558,83921560,97779989,111702041,125508227,138840579,138840580,151543310,151566233,151543234,138840483,138840484,151543143,138840382,125508009,111701883,111701882,125508014,138840386,151543147,163426580,151543153,151543154,151543194,138840830,125508412,111702188,97780105,83921644,257999495,57701434,70395475,83921647,97780108,111702195,261049561,125508521,262124973,138840578,151543151,163426588,262082458,138841046,151543676,151543215,151543217,151543662,273056482,138841023,125508628,125508629,125508568,125508567,138840440,125508064,125508066,138840442,138840857,138840422,138840421,125508049,111701917,97779913,97779911,271751393,125508468,138840409,151543175,138841039,125508644,125508643,138841036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14071627, s2 = 14114348, dlinesl.size( ) = 20 s1 = 14114347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14864249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14864249, s2 = 11165918, int(edited[s2]) = 0 s1 = 14864249, s2 = 11165918, d1 = 20, d2 = 23 Dl.O(d1) = 12718645,12718646,255578391,12499433,254603511,3367597,3367598,5472844,8466987,8463312,8463311,8461777,5467459,5467460,8461779,8465166,8464308,7298342,254603235,1979046,1979047,3364918,254408495,1977172,1977173,3362744,5468106,5468130,8462377,12493919,17668270,17673606,17673607,17667554,17667553,268395280,17673214,17247624,17247625,23556739,24015842,31517216,40203911,50225950,269374918,257611958,50226206,50232305,40211444,31525531,24023649,24023650,256535981,37379686,255845047,21567970,17670084,17670086,24018880,25271002,25271001,32995166,35255219,31526960,31526957,24025296,17675040,17675039,24025289,24025346,24025347,17675081,17675080,24025374,31527492,31526803,31526805,31526829,40212606,31527231,31527233,40213099,40213130,39377086,30775662,24023750,24023749,31525660,31527558,40212256,31526564,31526565,31525517,31525518,40211436,39715454,39715455,31527020,31527019,40212836,40213434,40212808,31526986,31526987,40212811,32995149,25270992,18699069,18699068,24249246,31760983,40455231,36535915,36535916,31760976,31760975,40455219,50233770,40213368,40213367,36535925,36535924,40212594,31527537,24025402,24025401,31527211,31526887,31526886,256386690,50234166,40213914,31528062,31528063,24025896,17675489,12499414,12499415,17675494,24025905,31528193,31528054,24025826,24025828,31527227,40213087,50233544,50233059,40212488,31526744,31526743,24025800,24025801,31528004,40213824,31528091,24025847,24025849,31528094,40213966,50234210,61713440,61452648,257063257,23797225,17464891,17464892,23797229,31283297,37002815,28504984,28504983,30282027,30282028,28504936,21286104,15321963,15321964,21286107,28504940,37002745,46881489,46881488,257607446,30282066,30282067,38867711,48789859,60186308,50229526,40208543,40208542 Dl.O(d2) = 27073967,27073968,27073607,20178223,14477565,14477567,20178227,27073940,35160440,35159857,35159750,27073486,27073487,35159753,44536106,35159977,35159978,44536383,35159969,35159970,44536385,55382712,55382877,44536581,257250686,35160303,27073855,27073856,35160189,35160190,35160824,44536443,55382701,44536440,44536439,44536617,35160173,27074155,27074156,27073596,20178134,14477521,9961254,6546903,4101517,2453429,2453427,4101508,6546888,9961225,14477470,20178057,27073685,33143430,27073985,20178255,20178256,20178216,20178214,27073921,35160409,44535492,35159282,27073180,27073181,35159286,27073839,20178156,20178157,27073842,35160281,44536734,55382969,44536837,44536772,44536773,35160401,27074162,27074163,35159953,27073610,27073611,35159957,44536371,55382705,44536427,44536342,35159924,27073591,20178004,14477441,14477443,14477511,20178024,14477451,14477450,20178022,20178045,27073662,27073676,35160045,35160746,33759294,25951223,25951222,33759290,35160420,44536876,44536354,35159929,35159927,44536347,55382688,44536667,35160215,27073792,20178127,20178125,27073786,35160208,44536653,55382975,67722749,55383695,44537424,35160819,35160157,27073752,27073753,35159948,44536367,55381739,55381740,67721590,55382664,44536330,35159909,27073584,20177998,20177997,27073579,35159902,35160057,35160056,35160038,35160039,44536457,44536469,44536471,55382778,55382921,55382922,55382904,55382906,67722714,67722580,55382691,55382692,67722572,67722754,74496410,61714938,50235842,40215450,257083787,44536629,257916487,81187405,81187339,72094390,67722700,55382885,44536584,44536585,55382888,67722675,55382832,44536528,44536527,55382829,52450886,42097896,33143604,33143605,42097898,256456190,64318562,77482458,81187377,81187376,86589843,72992483,72992484,67722706,55382898,44536594,44536593,49147031,49147029,60546318,60256943,48863983,48863985,52450800,50235882,40215467,40215466,50235880,50235886,50235867,257666797,74496420,259522085,81187354,67722610,64318373,258399571,52450685,42097696,42097697,52450686,64318416,77482376,64318539,52450857,52450853,59360853,59360856,55382985,44536661,44536662,52450634,52450632,64318360,72094392,64318390,52450668,44634431,44634429,55484449,61714945,53006296,42566335,33549637,33549638,42566341,53006301,50235856,50235857,61714949,55484459,55484457,61714958,50235869,40215462,40215463,50235872,61714960,74496423,78518604,65229362,65229361,78518598,78519095,65229860,53241363,53241362,65229855,72094407,59360883,47969967,38056793,38056794,47969970,59360887,64980963,64980964,53006312,42566358,33549646,33549647,42566364,53006319,55484455,44634434,35250043,27151668,27151669,35250046,44634440,53241495,50235849,40215454,40215455,50235851,59360845,67721257,67721258,74496415,61714953,50235861,40215459,40215460,50235865,53241365,52450707,52450708,64318433,258740679,92565875,92565874,106885458,98150585,84256681,70705173,57987901,47969964,256830760,42566345,33549641,33549640,42566343,42566352,42566353,35250056,27151677,27151676,35250054,29492772,29492771,256927169,52450693,52450692,42790344,33759378,25951310,19286923,13787949,9453641,9453640,13787945,19286919,25951302,25951154,25951153,25951072,19286785,19286786,19286789,19286791,22309948,268635841,47969992,38056813,33759113,25951092,19286777,13787896,9453618,9453619,13787901,19286854,25951203,33759260,42790234,38056774,29492740,22153646,16033422,16033421,22153644,19286904,13787935,13787934,19286900,25951265,25951255,19286890,13787925,9453632,6197993,3879232,2323144,2323145,3879234,6197999,9453642,13787950,13787863,13787864,13787851,9453596,6197975,6197976,9453600,13787771,13787772,19286639,22153666,29492763,38056817,35158878,27072835,20177452,20177453,19286874,19286875,25951237,33759310,40975729,32195653,24607252,19286879,19286878,25951242,22868597,22868598,30265069,38848929,46436453,36571788,36571789,46436457,46356739,36498651,256520602,6770969,4243883,4243882,5946787,6759338,4263786,4263787,5948714,6798348,255365181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14864249, s2 = 11165918, dlinesl.size( ) = 34 s1 = 10846530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10846770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10846770, s2 = 11476020, int(edited[s2]) = 0 s1 = 10846770, s2 = 11476020, d1 = 21, d2 = 11 Dl.O(d1) = 70408271,57714159,46364696,36506363,28042825,20874888,14972912,14972911,13536833,9266391,9266393,13536835 Dl.O(d2) = 273396533,261865785,143687393,262841131,187470616,195489107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10846770, s2 = 11476020, dlinesl.size( ) = 2 s1 = 10846770, s2 = 11476020, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10846770, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 10846821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10846821, s2 = 11407604, int(edited[s2]) = 0 s1 = 10846821, s2 = 11407604, d1 = 13, d2 = 1 Dl.O(d1) = 168427701,178737051 Dl.O(d2) = 156977674,144577623 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10847122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10847148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10847201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16057943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10848638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14060321, s2 = 11059152, int(edited[s2]) = 0 s1 = 14060321, s2 = 11059152, d1 = 4, d2 = 7 Dl.O(d1) = 255816196,23406743,22287114,16143295,16143294,22237119,16101982,11184464,11184467,16101986,22237122,22288628,22236501,16101420,16101421,22236504,29584331,29584064,22236221,22236222,22282943,16138719,16102137,11184578,7441881,7441880,11215776,16144136,22287902,22237736,16142776,11214553,7441893,7441892,11215672,16144104,255076242,28568638,254770716,16933304,16933303,22288106,267890598,11851348,8083992,5179664,5179662,7441356,4740065,4740066,7442101,4702300,2832840,1643469,934526,526671,295101,295103,526678,934542,1643514,1643461,1643460,2832817,4702257,7441222,7441221,4702117,2832760,2832761,4702124,7441778,11215614,16144043,22287824,29638599,29640279,29637889,29637888,38204512,256864364,44748070,39167116,30569253 Dl.O(d2) = 64212473,71022704,58307236,259295811,86796434,257806572,71946111,59207116,47807743,37884264,29315399,21987207,21987206,29315398,37884262,256940408,16155610,16155821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060321, s2 = 11059152, dlinesl.size( ) = 8 s1 = 14011243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10849934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10849934, s2 = 11341324, int(edited[s2]) = 0 s1 = 10849934, s2 = 11341324, d1 = 53, d2 = 32 Dl.O(d1) = 165295196,175990914,261769968 Dl.O(d2) = 140818467,127458102,113581894,99565333,99565334,113581897,127458110,140188431,126839790,112985724,112985720 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10849951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14011267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14895287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14895287, s2 = 11654676, int(edited[s2]) = 0 s1 = 14895287, s2 = 11654676, d1 = 11, d2 = 17 Dl.O(d1) = 257287735 Dl.O(d2) = 94382777,94382779,256008536,54642967,43900005,39917250,39917251,255169404,255169398,17431785,17431786,255557688,24225106,17853309,12643389,8584698,5578302,3461032,2052398,2052399,3461033,254615421,12643350,17853247,17853318,24225117,24225121,17853320,17853319,24225119,31733772,257099041,57725199,70420319,83947251,97806599,260472897,261321654,163451850,259593566,257141854,52184015,41858645,32928128,25212193,18647181,13259106,9046949,5913642,5913641,9046948,13259104,18647178,25212188,32928121,41858633,52183996,64018268,77150286,256055640,103717134,256055642,89602223,268695568,112431411,126295114,113934199,99911200,85953427,72358128,59623465,59623466,72358130,85953423,87717256,101690746,87717257,74111314,74111307,61328657,61328656,74111305,87717247,91233515,91233516,102676665,116770698,119692852,105454950,258823672,97963155,97963152,97963151,111900537,125717935,111900535,257592288,77314264,77314263,91233509,105454943,271981529,116770697,116770698,105454940,91233508,91233509,105454942,119692854,126295119,112431419,98442612,84520988,70957564,257429339,28496887,21279445,15317043,10579211,10579210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14895287, s2 = 11654676, dlinesl.size( ) = 14 s1 = 10851464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053867, s2 = 14152620, int(edited[s2]) = 0 s1 = 14053867, s2 = 14152620, d1 = 38, d2 = 36 Dl.O(d1) = 265625259,265916719,231872744 Dl.O(d2) = 266622907,238464515,266820471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053867, s2 = 14152620, dlinesl.size( ) = 42 s1 = 14152619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152619, s2 = 14053868, int(edited[s2]) = 0 s1 = 14152619, s2 = 14053868, d1 = 41, d2 = 51 Dl.O(d1) = 266820470 Dl.O(d2) = 234710535,265916718,265625258,268280868,28532547,21309877,21309878,16880471,11810220,11810222,11810231,7888805,7888806,11810232,16880489,11858973,7925617,5038280,3050294,1776991,1776992,3050297,5038287,7925631,11858963,255475385,11336522,7533442,7533441,11336520,16293818,22461871,16793857,16793858,16943963,16880908,15340827,15340828,21310365,15340445,10595736,10595735,15339375,10594794,6989387,6989386,10594792,11934517,255141311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152619, s2 = 14053868, dlinesl.size( ) = 54 s1 = 10851818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10851818, s2 = 12281122, int(edited[s2]) = 0 s1 = 10851818, s2 = 12281122, d1 = 25, d2 = 26 Dl.O(d1) = 256608943,41518293,41518292 Dl.O(d2) = 99093221,85171046,255104386,21760862,18681494,13288701,13288702,15879197,15879199,16908087,11832924,7908032,5026922,5026921,7908028,11832917,12634593,12634596,17841947,15867262,10997590,10997589,9691823,9691826,11547079,7682377,7682376,11547073,16565125,22780582,16978568,11891719,11891716,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774416,4000171,4000168,6375255,9692899,14091012,9691886,9691885,14091010,19658467,22780867,16565412,11547242,11547244,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,3161349,1850694,1056223,1056225,1850684,3161285,5181166,8086550,12028350,15466702,14904213,14904214,20797243,20796579,14903691,14903690,20796572,26395107,19660875,14092848,9693107,6375373,6375374,9693110,11885677,16973150,19342023,13832885,13832884,17119646,14904219,10247545,10247544,14904215,17042020,17117077,19594050,21385876,15402473,15402472,11955373,11955374,16630697,11600666,11600665,16630692,17747726,13641428,13641426,17267411,16913664,11836923,7910873,5029120,5029119,7910870,10246975,10246969,13102752,18445181,20981468,256286891,36635795,46502994,57859159,70560760,84097066,97970630,102411435,102411436,88411523,74780156,61984055,50492192,50492191,61984054,259805639,114328401,100298280,86336486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10851818, s2 = 12281122, dlinesl.size( ) = 28 s1 = 14078447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078447, s2 = 11198446, int(edited[s2]) = 0 s1 = 14078447, s2 = 11198446, d1 = 5, d2 = 6 Dl.O(d1) = 64162835,52311237,41970554,33027395,25301300,25301299,269781214,52311233,64162834,58419802,58419801,64162770,77310944,91230200,95820260,81753668,68228845,62414941,50832955,40728730,40728731,35433024,27300559,20361852,14615333,10056253,10056252,14615330,20361849,27300911,35433424,35433336,27300832,27007649,27007647,35093924,35432738,44871524,55800903,44872198,35433446,27300926,27300925,35433444,35432730,27300314,20361381,14614999,14615000,20361382,20361439,14615033,10056052,10056053,14615035,20361442,27300390,35432826,35432742,35432740,35432810,35432809,44871530,44871529,55800909,55800972,256768845,27300386,27300387,35432822,35432726,27300311,27300312,35432728,44871509,55800890,68228407,55800987,55800986,68228425,68228426,55800984,55800985,256885332,55800887,55800888,55800977,44871614,44871613,55800883,44871504,256241897,27300383,35432820,44871611,55800970,68228405,68228404,257489908,41425614,257157717,63410982,76454787,81753386,71642677,71642676,85207988,81753348,258400002,71642680,71642679,81753333,68228402,55800885,55800884,68228400,81753332,270685451,68228645 Dl.O(d2) = 44871851,44871852,51544973,51544974,63261651,63261701,257335839,257335837,63261671,63261678,63261677,63261683,51545010,41323631,41323632,51545003,51545004,63261673,63261684,76280958,90093541,258877988,76280967,63261694,51545023,41323637,32477332,24836961,24836962,32477335,41323638,51545026,63261700,76280973,76280962,63261689,51545017,41323634,41323633,51545014,63261686,63261693,61462096,49984167,41323636,256517534,41731632,41731633,52046454,63261698,63261697,76280972,89885411,86963031,86963030,90093545,258354569,63261687,257646574,73351637,70332993,57642654,46298021,257384761,64087805,76280959,90093543,270901788,269397338,63261674,61462094,51545020,51545019,63261691,76280965,89885408,76084867,63084839,51393378,51393379,63084840,63084844,71643084,257671372,44407286,44407288,51393382,51393383,51393369,41200929,41200930,51393370,268929991,268929993,58922012,258710525,72567608,86165783,95121819,109375410,260052720,81064311,67596623,55255049,44407290,44407289,257905999,81064305,95121801,270599649,65992493,53923540,43398264,257270187,65992495,57653406,57653407,70343955,83869184,84080968,84080967,83869185,70343957,57653408,57653409,259246247,84080972,93496158,83869166,70343937,70343938,259246241,70343947,57653401,46308654,46308653,46308655,46308656,57653403,70343952,65992497,65992496,79359551,70346036,59832145,59832144,57653397,46308651,46308652,49872784,39850561,31168597,23680316,23680315,31168594,36455803,27997401,26421359,19684517,19684518,26421361,34297964,43398273,53923549,48668542,38746791,255936413,22774175,30163380,38746786,48668535,46310889,46310890,38746799,30163403,22774189,16559211,11542224,11542225,16559213,255936417,38746792,30163393,22774184,22774185,30163396,38746800,36452330,27999627,20835268,14936560,14936561,20835271,20823413,14925401,10263309,7678907,4858858,2928106,1698481,1698482,2928109,254544321,255112003,18698057,13305052,13305051,18698056,25269968,27993946,256269612,14931127,10267955,6747366,6747367,254996955,20829622,14931125,10267952,6747364,6747363,9938063,14445905,10267941,6747357,254704225,255368542,8473565,6747143,6747144,10267668,10267667,9057489,9057490,6792592,6792594,9067787,9074007,13291410,14998258,10328781,10328780,14971846,14971845,20873837,255341570,24253559,24253558,31765481,28074820,20902857,14998244,10328772,10328771,14998242,268372453,257330170,36505832,36542441,40459957,36505831,36505830,36505838,36505837,46364041,36505811,36505810,36505820,28042362,20874420,14972432,14972431,17197966,23481076,30918118,257038209,57713629,49851402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078447, s2 = 11198446, dlinesl.size( ) = 2 s1 = 14078447, s2 = 11198446, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14078447, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14011355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16295237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16295237, s2 = 15272104, int(edited[s2]) = 0 s1 = 16295237, s2 = 15272104, d1 = 2, d2 = 0 Dl.O(d1) = 48068274 Dl.O(d2) = 31791181,255594877,12677403,12677404,8948919,8948921,8718453,5675004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16295237, s2 = 15272104, dlinesl.size( ) = 18 s1 = 14139761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133107, s2 = 10854258, int(edited[s2]) = 0 s1 = 14133107, s2 = 10854258, d1 = 25, d2 = 12 Dl.O(d1) = 211861396,211861395,264339946 Dl.O(d2) = 264829510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133107, s2 = 10854258, dlinesl.size( ) = 20 s1 = 10854259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10854259, s2 = 14133108, int(edited[s2]) = 0 s1 = 10854259, s2 = 14133108, d1 = 12, d2 = 22 Dl.O(d1) = 264829511 Dl.O(d2) = 264339947,180013764,180013765,169837140,158476356,146115178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10854259, s2 = 14133108, dlinesl.size( ) = 24 s1 = 10854372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10854372, s2 = 14048470, int(edited[s2]) = 0 s1 = 10854372, s2 = 14048470, d1 = 19, d2 = 33 Dl.O(d1) = 40222368,257667345,74502590,74502650,74502651,74502726,61721372,50242524,40222404,31536183,31536184,31536177,256536835,50242508,61721324,61721322,61721321,74502645,84549256,70986240,70986241,74502717,88113990,88114044,74502674,61721340,50242503,40222389,257084303,269878087,85566343,71979068,59241537,59241538,269399936,88114031,102100766,97736465,97736464,88114063,74502694,61721350,61721351,74502698,88114016,74502641,74502642,88114017,85566354,71979080,71979074,71979073,61721367,61721368,74502692,61721349,257654540,71979066,85566341,74502592,74502591,61721362,258263336,258263334,61721344,61721343,269874294,102100776,102100782,88114084,88114083,86836112,86836114,100817467,114868803,113524886,99513325,99513324,85566358,71979083,59241549,47844564,37924581,37924580 Dl.O(d2) = 37139833,37139832,47028084,58399903,57662797,57662796,55674756,55674642,44765286,44765287,44765280,35338980,27214894,268598432,268598434,46318541,36465675,256270716,255781484,255781482,35339002,256270744,28467445,36966216,46845056,55674615,44765263,35338972,27214890,20286450,14556549,14556550,20286452,256236141,44765267,46845061,55796548,68073550,68073551,74627922,68073580,68073581,81563410,95596836,81563393,68073524,68073525,68073517,55674609,44765253,44765252,55674607,68073515,81563389,88258230,77917807,64727631,55674617,44765264,44765265,55674598,55674599,68073505,68073601,55674682,44765327,44765326,55674680,68073598,81563450,83877398,70352525,57662765,57662766,61835648,61835673,74627911,77875238,86836094,83877394,70352523,70352522,81563384,68073602,55674683,55674684,68073604,58634923,57662789,57662788,68073585,68073586,71076998,71077000,77979529,68073521,64685690,52812389,42411072,33420121,25651695,25651696,33420123,42411074,52812392,52771387,52771386,46990202,37105438,37105437,46990199,46990204,46990205,58360351,71076996,77917809,77875232,64685681,64685682,61835650,50351447,40324584,31635326,31635327,40324588,42462676,42462677,52866465,256768748,61835640,61835641,60212010,48816130,48816129,60212007,72950865,64123281,52274124,41935213,32994408,32994409,254988296,33469343,33469342,39715726,33469334,25696382,19071012,13614989,13614990,19071015,25696389,33469346,42462651,44485106,39715720,39715719,33383426,33383425,42372437,52771415,42462699,33469390,25696419,25696418,255763900,42462657,39715747,31038295,31038296,25696412,19071029,19071028,25696409,33469371,42462690,52274133,41935227,32994418,32994416,39715728,49734399,52771400,48816136,38894874,30309092,22909583,22909582,23556268,17247241,17247240,23556265,31038281,255763896,31038465,35310534,35310535,31038432,31038431,27022149,25696403,19071025,13614998,9322701,6106826,6106827,9322704,13615002,19071036,25696421,33469393,39715737,31038306,23556279,23556278,31038301,37265813,42462684,48816123,51770736,51770735,41935219,41935218,254117344,25472352,25270323,18698402,13305371,13305370,18698397,25270315,32994414,33219139,25472354,25472353,26452844,19710389,19709423,14131702,9721844,9721845,14131703,9721971,6395351,6395350,9721966,14131741,9721860,9721862,9722200,14132418,11967465,8011330,8011331,11967468,14131762,9721871,9721870,14131760,9721913,6395324,4013277,2405146,1391757,791437,791438,1391759,2405154,4013293,4013299,4013300,6395373,9722010,14131973,14131758,9721931,9721932,255310383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10854372, s2 = 14048470, dlinesl.size( ) = 8 s1 = 10854484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10854761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10854761, s2 = 11658300, int(edited[s2]) = 0 s1 = 10854761, s2 = 11658300, d1 = 6, d2 = 3 Dl.O(d1) = 259638470,116210314,130121434 Dl.O(d2) = 138778877,125449961,111647491,111647492,269493138,273167935,130121433,116210313,102149205,88158613,270390666,116210314,130121435,143453034,138778878,125449961,116210312,102149205,259011120,130121433,260255046,261955906,164051214,164167523,152283160,139552331,126177040,112316333,98333272,258905012,58152293,258656139,98333270,261635059,141607911,263013688,108660563,94373156,80317676,271049422,256198807,9751622,255313709,19005565,25619843,23138865,23138864,26593963,268137644,32384196,32384197,27158352,20246600,16568393,11549585,11549586,268082072,268958339,86405546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10854761, s2 = 11658300, dlinesl.size( ) = 2 s1 = 10854761, s2 = 11658300, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10854761, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10855141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059893, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14113563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10855902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10855902, s2 = 11597074, int(edited[s2]) = 0 s1 = 10855902, s2 = 11597074, d1 = 2, d2 = 50 Dl.O(d1) = 216447322 Dl.O(d2) = 266583059,266583057,238119498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10855902, s2 = 11597074, dlinesl.size( ) = 58 s1 = 10856601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10856593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10856593, s2 = 10856602, int(edited[s2]) = 0 s1 = 10856593, s2 = 10856602, d1 = 12, d2 = 9 Dl.O(d1) = 37138469,37138468,47026632,49920704,49920705,52326846,52265964,41927391,37138442,37138445,39206325,39206324,49133246,49920943,42292956,33312812,25551392,18938929,13503142,13503141,18938922,25551381,33312791,37138392,47026567,55628185,44730127,44730128,51054809 Dl.O(d2) = 32134922,33521337,42521782,47118748,46751371,36872195,33151488,25410837,22951005,22951004,28850879,28671571,21424348,21424346,21424339,21424340,28671562,28837559,21578923,21578924,28850893,28837569,28837570,36872146,36872145,37120334,28610058,21424562,21424561,28671869,28850867,28850868,22951018,16714219,16714218,22951015,30352758,33521343,33521344,36872186,36872187,46751364,37907764,37907765,32134945,24553738,18116718,18116717,24553732,25406673,33147038,28837563,21565970,21565971,28837566,22951009,16714209,15555515,15555514,21578919,23256004,23256005,22007458,15906486,15906484,22007455,21578929,21578931,28837582,21565978,21565976,28837577,32135021,33147035,36965340,28466343,28466342,28466345,28850871,28850872,32135295,32135298,40913080,37130482,28618723,21382178,21382177,15399584,15399586,21382209,28618771,29338912,29242136,29242135,32134926,32134927,37193595,37193594,40913084,37907728,37377849,37377850,38938699,30352745,24553937,18116846,12846466,12846465,18116843,256067875,29338885,37907733,47829527,47829523,47829521,41125318,40913072,32135281,24553994,24553993,24553880,21244231,15277352,15277353,21244234,28466347,32135192,32135190,40912997,37130492,28618732,21382185,21382183,28618728,24553837,24553838,32135092,40912909,51054909,40913094,32135357,24554048,18116921,18116788,12846504,12846503,18116863,18116865,12929570,12929569,18228744,24698246,32135225,40912952,32135147,32135148,32311902,25741361,19107767,19107766,25741357,33521326,38941379,38941378,48860872,43038574,33981209,33981208,43038572,256325298,32134666,32134667,24553767,18116737,12846398,8735947,8735944,12846394,18116728,24553754,32134977,32134823,32134822,32135046,40912868,32312130,24698523,24698522,24553748,18116726,12846392,8735942,8735941,12846390,18116723,18116749,24553787,32135030,32134820,24553655,18116670,12846355,12846351,18116664,18116709,12846379,12846376,18116704,24553709,32134889,32135003,32135000,39290824,49217502,49217376,39290714,39290713,49217373,51054707,256633817,25333113,25333114,33062155,32134862,32134861,24698370,18228829,18228828,24698365,32311882,40912935,42521791,52932649,51054890,40912889,32135061,24553819,24553821,32135068,32135131,32135133,30693421,268661181,23278378,17019962,11935806,11935807,17019967,23278383,30693340,39290681,39290892,32134720,32134721,39290767,39290764,48200201,39290755,39290754,49217438,41986336,41986337,51307892,50508988,40473694,31779076,24266552,17887814,14961152,14961153,20863026,28030466,36492912,46350604,39290846,39290843,39709439,31032482,23551319,23551318,31032479,38938605,48857840,48857839,39709445,39709446,269388771,51054367,62685048,51054259,48857789,38938500,38938501,38938598,30352653,30352652,38938596,48857930,51054422,51054421,62685177,75630036,75630166,70301641,70301640,60250533,48857802,48857801,48857808,38938513,36456888,36456889,46309669,48857779,38938491,30352572,22950896,22950894,30352568,34280584,26405815,26405814,34280579,43379126,52480783,43379132,43379131,53902697,62685099,60250553,48857835,40912294,32134765,32134766,40912632,40912443,40912358,32134543,24553471,18116554,12846292,12846291,18116558,24553479,24553491,32134561,269028409,40912620,40912621,51054687,51054670,40912606,32134744,32134615,24553521,24553520,32134610,38938536,48857846,60250557,60250493,48857752,38938468,30352557,30352559,38938472,48857759,50902849,48857782,40457988,40457987,50493941,50902883,40786277,40786278,50902889,50902902,40912629,32134762,24553611,24553610,32134473,24553420,24553421,32134478,257128937,50902829,62503235,51054350,51054351,48857744,48857745,60250487,62503189,50902790,40786196,32029435,32029434,40786193,50902785,62503184,62685397,62685244,51054504,40912470,32134639,32134640,32029483,24467235,18047352,12793638,12793637,18047348,24467225,32029459,40786228,50902834,62503241,51054347,40912333,40912332,269073623,50902853,50902855,62503262,75422181,64198479,64198480,74300053,62685254,62685253,73512740,61522119,61522118,51054265,51054264,50902824,50902825,62503229,62503291,62503290,60763570,50902867,40786258,40786257,50902864,41480122,32602203,32602202,39430752,30826649,23398975,23398976,30826654,24553536,24553535,32029467,32029466,32134646,40786236,40786237,50902841,62503211,62503212,52348243,42009062,33064999,33064998,42009060,51054384,51054381,41480113,41480112,51749411,59170898,47771915,47771917,52348306,52348307,64198569,67804479,67804480,81271887,269366964,74708415,71380574,64977210,62534715,50931146,50931147,47319152,47319153,50931252,40811983,32051938,32051937,40811978,40811931,32051913,32051914,40811936,42009026,42009025,52191509,42009087,42009088,52348285,50996227,40862428,32091494,32091493,40862425,33065009,25335577,18756085,13355378,9127125,9127126,13355385,18756091,25335586,33065033,42009110,52348313,64198529,62534756,62534755,55463043,55463041,55463037,55463036,50424160,50424161,61914632,62534720,50931150,40811888,40811889,50931154,50931183,40811908,32051911,32051910,40811922,32932265,32051918,24486361,24486362,32051921,40811945,50931216,42009093,33065020,33065019,42009091,50996219,40862420,35232822,256756953,35232847,33064986,25335564,25335562,33064982,42009029,50931137,50931136,62534707,62534801,52348251,42009068,40912495,32134653,32134652,27137933,20230993,14517394,14517395,20230999,27137943,35232836,44614363,40811940,40811941,47640010,51033449,51033450,50931175,50931176,62534694,50931124,40811875,32051888,24486348,18063185,12806258,12806257,18063180,24486344,32051880,40811864,50931111,40895672,40811867,40811866,50931115,51033431,51033432,256971778,27137949,27137946,35232840,40811961,50931238,62534807,75457271,64198519,52348256,51054531,51054532,55463026,44614325,44614324,50931230,62534798,59041785,47640006,37718017,29158129,21849749,21849750,29158132,32121529,32121530,40895694,51033456,62659914,55463092,44614389,40811853,32051871,24486336,18063175,18063176,24486340,32051877,40811861,50931106,62534678,62659876,62659877,67804521,62659884,51033428,51033427,62659882,75602728,70873024,58158968,46791496,46791497,58158971,62534789,62534788,75457257,85199886,85199885,89209411,75457169,75457168,85372945,71783567,59041855,47640047,37718037,29158138,256359815,257481585,62685262,51054524,51054525,51033434,51033435,62659892,51054551,50931104,40811856,40811855,50931102,62534676,51033446,40895689,40895688,51033444,62659903,75602750,75602726,75602725,81271910,258340664,62534654,62534653,64009115,52176166,52176167,64009120,77139518,91044013,91044017,89309751,75554302,75554301,89309746,75554308,62617440,50996208,40862416,40862417,50996213,47536811,47536812,58917694,62534642,62534643,75457159,85372923,71783536,59297034,59297033,59297059,47902048,47902049,59297045,59297046,72033306,85621796,85199865,85199864,99122530,89309759,84391474,70834446,58119933,46751400,36872211,36872210,46751398,58119929,70834441,84391464,77139521,77139520,91044022,77139528,64009128,64009127,67192490,80667242,94745326,105253626,105253627,117523452,103398930,89309740,75554296,62617443,62617445,74058852,74058853,87662849,99317804,87662843,85199872,72033300,59297039,47902036,37985712,29423474,29423475,37985714,47902042,59297050,72033314,85621806,99122527,103398939,89309754,89309755,87662867,74058866,74058867,70834424,58119925,58119926,70834436,72033279,72033280,74058858,87662856,94745321,80667239,80667237,91044040,77139535,64009134,64009133,77139533,91044036,103398927,117523449,115671438,101630360,87662847,87662846,101630358,105253632,101630354,99572400,85621789,85621786,85621782,72033286,64105680,52256778,41918521,257180427,64105681,77252500,91171018,91498562,91498563,100543438,86582878,72985979,60250626,60250627,71183335,71183334,72033310,85621800,98300002,87662855,87662852,84391449,257250034,91044048,77139547,77139549,91044028,103485696,89391453,75630221,75630219,89391449,91044066,77139588,77139587,91044063,105253650,105253639,91044033,91044032,105253635,91171044,77252521,64105706,52256795,41918533,32978402,25255549,25255548,32978400,41918524,52256781,64105690,77252503,77567457,64399221,64105692,52256783,52256782,52256765,52256766,47083265,47083264,58461358,71183340,259925697,259593256,91171034,77252513,77139458,77139461,85621771,77139625,64009227,52176235,52176236,64009143,64009142,74104007,64009149,64009148,77139557,91044051,257727672,64009190,52176209,41852113,32922909,32922908,41852110,52176144,64009089,75969120,89748096,89747904,75968762,62986222,62986221,64009080,52176141,52176140,64009056,64009057,77139455,74103979,61321204,61321203,74103975,77139450,77139451,74104019,74104018,87709872,88082570,77139577,77139578,74103955,61321181,61321182,64009094,52176146,52176145,61687005,50204150,40181206,40181205,269393301,49838197,61321155,64009202,52176216,41852118,41852119,52176220,64009207,77139608,91044079,105253659,119478220,127196083,113337682,99335399,85391841,71803693,71803692,85391837,99335397,85391867,71803719,71803718,74103983,61321207,61321208,52176114,52176113,64009046,74470174,61687002,61687000,74470173,64009178,61321194,49838217,39814925,39814922,49838212,61321178,74103950,87709834,99335391,97806210,83946892,70420008,70420009,71798349,71798350,71803689,71803685,59063025,47662898,37740974,29180134,21869358,255867523,37740970,47662886,59063036,61908504,71803669,71803668,71803676,71803683,59063024,59063022,71803681,85391834,85391875,71803722,71803721,85391872,87709829,87709842,97806248,87709840,87709841,88082575,102069148,260379402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10856593, s2 = 10856602, dlinesl.size( ) = 8 s1 = 14168453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168453, s2 = 14104534, int(edited[s2]) = 0 s1 = 14168453, s2 = 14104534, d1 = 12, d2 = 17 Dl.O(d1) = 224037727,265523344,226173836,228033394,229665094,266087366,265848848,229806697,265369970,273980760,215292887,264939056,215292886,218701765,221573982,224037724,265346686,264702710,211158525,263823994,199985631,206102700,211158528,215292888 Dl.O(d2) = 221573983,224037725,226173835,228033394,265829772,265848848,229806697,265703044,231113263,274454450,265346684,221573982,265523342,264702710,264939058,263505236,175375786,164614747,260537510,98901058,84975994,77756323,77756322,70411286,57717100,46367618,36509393,28045698,20877761,20877762,28045699,36509394,35345733,27222455,20294042,14562986,14562985,14924968,10263010,6743985,4225868,4225870,6743991,10263020,10263057,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534943,11338594,14968339,255361563,28038661,36501933,46359963,57709147,70403129,83929381,97788396,90461276,257316858,118806360,132625502,133943509,133943500,120101655,105890214,105890215,111711092,97788388,83929375,83929374,259869281,125518275,138851126,260879079,105890224 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10857021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10857069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080457, s2 = 11000322, int(edited[s2]) = 0 s1 = 14080457, s2 = 11000322, d1 = 19, d2 = 9 Dl.O(d1) = 257888732,35397269,29961261,22596634,19186877,19186878,25840469,26611560,26611559,25319550,18741197,13341438,13341437,18741193,19796917,14180400,14180399,19796913,26603413,26599409,19793255,14180458,9748473,6410028,6410027,9748470,14180455,10748601,10748600,15541647,21563195,23693272,17376851,12299648,255170677,15888089,11013824,11013823,15888088,255855669,15668702,10847012,10847013,255087245,7461104,4714732,2840269,2838188,1646445,936203,936202,1646444,2838186,4711290,4714050,2839861,2839860,254414185,2012836,2012838,3411019,267847661,1148955,644534,357715,357714,644533,1148953,2009365,3406493,3410507,3410506,5523923,8515095,5544958,5544959,254415773,2022210,2022211,3379737,1989846,1136995,1136994,254275199,5489006,3386966,1995117,268026522,8570378,254420037,2051557,2051556,3459868,5576768,5563826,3447470,2041418,2041417,3447467 Dl.O(d2) = 3428317,267847565,3403753,5516873,5508585,5508586,3420758,3420759,254278605,1154333,1154335,1136910,1136914,1989709,3379577,254417665,3439991,254275523,1992259,1989116,1989115,3378756,5488050,8487134,8497910,8573582,7216005,254611829,3431620,3431618,5545884,8547494,12596530,255252874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080457, s2 = 11000322, dlinesl.size( ) = 14 s1 = 14092641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092641, s2 = 10988920, int(edited[s2]) = 0 s1 = 14092641, s2 = 10988920, d1 = 13, d2 = 7 Dl.O(d1) = 91177586,105399484,119635459,133507169 Dl.O(d2) = 263152794,272557976,121026628,271078991,42714929,267891236,9178847,9178848,9179021,254354084,3757491,4768281,254100530,254085530,1668375,992723,558730,558731,992725,1746026,3005821,4975085,4766100,2873104,2873103,1746345,1746344,3006139,3005120,3005121,4975079,4975102,3005141,1745437,992091,992092,1745442,3005152,254078200,7265552,4581882,2756626,1597999,908431,908430,1597997,1746022,1746023,3005815,4766031,4766029,4975139,4976358,7839452,7265540,4581867,4581868,4795159,2890499,2890500,4795161,4766004,4766003,4767469,3005137,1745431,1745432,3005138,254074236,1668032,1601205,910419,513613,513615,910424,1601214,2756634,4581872,4581870,4581880,7265547,10869164,7839438,4976331,4976332,7186400,7186399,10869166,7186373,4590880,4590879,7279368,10869194,15701058,267745996,10989656,10869168,7186374,7186375,7117941,4481592,2692700,2692701,4481550,2692668,1559954,1559955,2692670,4481554,4766009,7534307,7267432,7267431,4588236,2760488,2760489,4588238,4743231,2858560,2858561,254122474,5032717,5032718,4347381,2603682,2603683,4347384,6920120,10494484,10759948,267744294,2689309,2689310,4476244,7109338,7267425,254122452,4582770,4582769,2766388,2766387,4598347,4587929,2760209,1600058,909650,513083,513082,909648,1600056,2760207,4587925,7274921,10989701,15855640,267887942,254251800,10990219,7275292,7275293,7109320,4476231,4476232,4587866,4587865,7274823,7213704,7213702,4974207,3004479,3004482,4974218,4587818,4587819,7115946,7115947,7147688,4501077,4501076,7147704,7274965,4587968,254345310,2760241,1600078,1600077,2760239,4587965,7274959,254337204,10770017,8163251,5233144,4501221,2704873,2704872,4501214,5233147,5233149,4500958,4500957,7147524,10815393,7147783,7147784,267787832,15570616,10769999,10769998,15570614,21579819,15855465,10989533,10989532,10815678,7147792,4501143,2704834,1567392,1567394,2704837,4501152,4795307,4795309,7581452,10815381,10815382,11844350,7915914,7915915,7295776,7295777,11020200,15896863,12133167,8163388,5233298,3193921,1869532,1066486,599477,334022,183777,100713,100712,183766,334000,599441,1066420,1869402,2766932,1603999,912128,514615,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,4601583,2768681,2768682,4599018,4599019,7292778,7296362,4601814,4601815,254264222,5006130,7882846,7882849,7882850,8163266,8163265,11019551,11021643,7297014,7297015,7293290,4599497,4599496,4601839,2768872,2768874,1605425,1605424,254160100,7295519,11019913,15896558,12651574,8589920,8589919,255201417,24241264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092641, s2 = 10988920, dlinesl.size( ) = 14 s1 = 10858172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10858433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10858433, s2 = 6654075, int(edited[s2]) = 0 s1 = 10858433, s2 = 6654075, d1 = 27, d2 = 23 Dl.O(d1) = 2977982,4935612,4941020,2981662,2981661,4941013,7792721,11685782 Dl.O(d2) = 256983795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10858433, s2 = 6654075, dlinesl.size( ) = 8 s1 = 10859523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14036605, s2 = 11086420, int(edited[s2]) = 0 s1 = 14036605, s2 = 11086420, d1 = 1, d2 = 3 Dl.O(d1) = 22088814,22953243,22954288,22898235,16717848,11995295,11995294,11672176,7781167,4931709,2974991,1726546,1726547,2974999,4931729,4648055,4648054,7358215,11094945,15981914,17067130,11977207,8024150,5113320,267744984,11977210,11633349,7750031,7750030,7781143,4931700,4931698,7781136,11672120,16713881,22950713,30352443,23256967,16994101,11908707,11908708,16994104,23256971,22558474,20301614,14569057,10025359,10025358,14569055,254175302,11979337,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002032,11953582,254129322,7523259,11327075,16285478,254103180,16957554,11869760,7933768,254228786,5234133,5234132,8164256,11950351,11950347,12017657,12017741,12017734,12017675,10770424,10770423,7117397,5047886,3058003,3058004,5047888,7937673,11874380,16962511,16959920,11871839,7935514,5046042,3056470,3056469,5046040,267769116,7966224,254176484,16963369,15665468,10844462,10844463,10772325,10772326,10772337,7117623,4481388,4481385,7117619,10772327 Dl.O(d2) = 15573144,21600502,28875675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14036605, s2 = 11086420, dlinesl.size( ) = 2 s1 = 14036605, s2 = 11086420, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14036605, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14055835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055835, s2 = 11569434, int(edited[s2]) = 0 s1 = 14055835, s2 = 11569434, d1 = 110, d2 = 92 Dl.O(d1) = 257305455,258525369,95113639 Dl.O(d2) = 266077799 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10861067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10861067, s2 = 12650835, int(edited[s2]) = 0 s1 = 10861067, s2 = 12650835, d1 = 41, d2 = 38 Dl.O(d1) = 11139325,7388528,4667663,2811964,1631263,1631264,927672,927666,1631360,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663 Dl.O(d2) = 153237026,140555657,140555658,140555660,140555659,153237027,165055044,273114163,175785970,262206331,153237027,264200517,211661547,215713226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10861067, s2 = 12650835, dlinesl.size( ) = 2 s1 = 10861067, s2 = 12650835, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10861067, Dl.E( ) = 42, 1.79e-05 seconds used appending s1 = 14940933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14940933, s2 = 11242332, int(edited[s2]) = 0 s1 = 14940933, s2 = 11242332, d1 = 23, d2 = 10 Dl.O(d1) = 256201857,19835672,19835673,26649106,34640540,256138925,13543071,18979423,256655131 Dl.O(d2) = 98773828,258685103 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10862582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10862804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10862804, s2 = 2423894, int(edited[s2]) = 0 s1 = 10862804, s2 = 2423894, d1 = 0, d2 = 5 Dl.O(d1) = 115291843 Dl.O(d2) = 259765283,260973933,149931751,261730015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10862804, s2 = 2423894, dlinesl.size( ) = 8 s1 = 14041221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14041221, s2 = 8770758, int(edited[s2]) = 0 s1 = 14041221, s2 = 8770758, d1 = 18, d2 = 34 Dl.O(d1) = 20354345,25773195,25773194,28899731,26118507,19425116,19425112,13898532,13898530,18793805,13387178,13387179,254205032,9429423,13759794,9602083,9602082,9436359,6184819,3870460,2318075,1344042,1344043,1344222,1344225 Dl.O(d2) = 222310221,219536545,264986322,207447798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14041221, s2 = 8770758, dlinesl.size( ) = 20 s1 = 10863542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10863542, s2 = 11145786, int(edited[s2]) = 0 s1 = 10863542, s2 = 11145786, d1 = 18, d2 = 17 Dl.O(d1) = 4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,3668842,3668838,5875926,9000193,13202257,18577673,25130544,32835845,269775426,90876285,105055216,119248120,129776707,260118105 Dl.O(d2) = 258556204,17482281,254914091,5956407,5956406,8346182,5386944,5386943,8346180,12353316,13291156,18684087,16191041,16191040,18688305,13295016,9077000,5936189,3711741,2222693,1289339,1289338,736059,736062,1289407,2222832,3711972,5936543,4587089,4587088,7273661,10988095,10294536,9100277,9100274,6802601,6802605,10334974,10365889,6828680,6828681,6777701,6777700,9069132,268109726,10528657,10528658,15260237,254844044,6943772,10528643,10556704,8472374,8472373,12506819,15267880,10560060,6964988,6964992,10560081,15295514,15303965,21265878,15304290,15304288,15278318,10544419,10544420,15278321,15297037,17153442,15297970,10562483,6966643,4376775,2621540,1513195,1513196,2621542,4376778,6966650,8058598,10539143,6950416,6950415,4368268,4366662,4366664,4366670,4366671,5193207,3168871,1855321,1855320,3168826,3168824,3168996,1856894,1856895,3172140,3172245,4450750,7067193,4449570,4449567,7067184,10697271,255026839,10569567,13524366,9255625,8109447,8109446,12053850,17150356,17001101,11914528,11914530,10526610,6942503,6052638,3787527,3787526,6052632,6064250,8110777,5196316,3170435,1856110,1059364,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273117,3794912,6065288,9260528,10564770,8078305,5173189,5173187,8078291,12019069,13490900,9229985,6045019,255669305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10863542, s2 = 11145786, dlinesl.size( ) = 20 s1 = 14166015, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14087991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10864328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10864328, s2 = 10864373, int(edited[s2]) = 0 s1 = 10864328, s2 = 10864373, d1 = 62, d2 = 59 Dl.O(d1) = 89287179,103375179,261354709,260273176,90636904,76771045,63677446,51879111,41585889,32687880,25008031,25008030,32687878,257165515,63675834,62149814,62149813,50976177,256573173,32073598,40843707,50976180,62596310,50976182,50976183,51866436,51875116,41582553,41582555,40594217,40594216,256727618,32102791,38898043,48819972,50976174,40843704,40843705,50642787,40594222,40594223,32685119,25005738,25005737,32685117,41582559,50642794,60216721,48819974,48819973,51010762,40875027,255295514,40845754,255654128 Dl.O(d2) = 8690937,5656210,3517166,2091851,1203260,677916,677915,1203257,2091848,3517159,5656200,8690922,12784438,18035658,24453266,32013807,40769754,40593972,31886098,24358933,255208695,8650420,8650421,255208687,5626532,3496000,3496001,5626534,254880865,8650390,12730378,17964326,24358901,31886065,40593952,50642514,256562341,24358914,255208689,255208691,255605609,18035656,24453265,32013804,269012493,31886070,255600833,12730383,8650392,5626529,5626530,254285601,2077276,3496014,2105456,267757695,683958,1212413,2105458,3537149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10864328, s2 = 10864373, dlinesl.size( ) = 44 s1 = 10864372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14065897, s2 = 11280188, int(edited[s2]) = 0 s1 = 14065897, s2 = 11280188, d1 = 28, d2 = 26 Dl.O(d1) = 255369730,15592444,10786594,10786595,15592446,17260433,12140265,12140266,11754282,7848192,7848193,11754284,10263354,10263353,14925475,255964287,1004992,1004993,254250453,5013390,7892708,255134147,256818990,22563992,16384280,11403135,7577370,5810395,3624333,3624332,5810388,8904196,13067120,18396983,24899834,32549258,38849684,30265779,29568993,22222472,16089717,16089719,22222474,28800700,24212068,21481643,15478337,254441690,4452216,4452215,7071500,9490817,9490816,13836727,19346894,23775242,30173225,38755935,48677436,60073521,55427563,256754598,62057056,50564369,40527795,40527794,50564367,62057055,74856051,88493265,102502217,257148230,257148240 Dl.O(d2) = 24312553,17927280,12702270,8629894,8629895,9393915,12702256,10631828,10631831,12816138,12816140,13714414,11000082,7281612,7281611,255492183,11529798,7670025,7670024,255110695,22754336,30140165,38719779,48637673,257557832,258166715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14065897, s2 = 11280188, dlinesl.size( ) = 22 s1 = 10864618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10864618, s2 = 11050760, int(edited[s2]) = 0 s1 = 10864618, s2 = 11050760, d1 = 0, d2 = 0 Dl.O(d1) = 24730950,24730951,32346491,38779736,30195182,22804303,16586781,11566695,7698707,7698708,11566691,7698702,7698700,11566688,16586776,254942632,33277194,42256836,44549953,44549955,52690915,42304078,33323355,25561694,20185585,14482433,14482431,20185581,24773765,32396724,41220158,51416858,63113748,76119357,89925581,104055295,118214926,118214925,260441552,89925583,76119358,76119357,271496253,104055295,260441552,104055298,260814269,261921255,169128855,271655996,188431107,179398557,179398558,173473460,256735918,137255395,137255396,123525064,109333559,95078882,254467782,55206429,254467784,67761085,255736326,20201810,14495692,14495691,20201808,14499025,9976707,6557209,6555901,6555900,9974950,13884992,18616459,14495956,9974877,9974080,6555262,4106659,2456409,2456408,4106654,6555254,9974067,14495391,9976697,268006608,9974677,268014056,6555869,4107864,2457164 Dl.O(d2) = 24730950,24730951,32346491,38779736,30195182,22804303,16586781,11566695,7698707,7698708,11566691,7698702,7698700,11566688,16586776,254942632,33277194,42256836,44549953,44549955,52690915,42304078,33323355,25561694,20185585,14482433,14482431,20185581,24773765,32396724,41220158,51416858,63113748,76119357,89925581,104055295,118214926,118214925,260441552,89925583,76119358,76119357,271496253,104055295,260441552,104055298,260814269,261921255,169128855,271655996,188431107,179398557,179398558,173473460,256735918,137255395,137255396,123525064,109333559,95078882,254467782,55206429,254467784,67761085,255736326,20201810,14495692,14495691,20201808,14499025,9976707,6557209,6555901,6555900,9974950,13884992,18616459,14495956,9974877,9974080,6555262,4106659,2456409,2456408,4106654,6555254,9974067,14495391,9976697,268006608,9974677,268014056,6555869,4107864,2457164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10864618, s2 = 11050760, dlinesl.size( ) = 2 s1 = 10864618, s2 = 11050760, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10864618, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14162351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162351, s2 = 14070244, int(edited[s2]) = 0 s1 = 14162351, s2 = 14070244, d1 = 53, d2 = 44 Dl.O(d1) = 10505359,6927219,4351782,4351781,6927218,10505358,10515872,6934899,4357661,4357660,4309832,4309831,6866926,10416700,268200599,10514665,8615931,8615934,12683989,12847230,15235887,12335783,8333522,5378566,3307357,1945727,1111542,1111544,1945733,3307369,5378587,8333558,12335835,15231236,15234364,15234365,17495395,12672759,8606196,8606195,12672755,10523027,6939931,6939930,10427344,12684096,12684095,15240706,15240707,11137249,11137247,12672815,8606233,8606234,10522942,10522943,15253042,17904369,12683835,12683833,17904367,24285260,22710995,268224801,16169715,22314769,17746586,12556889,8513411,5512077,3399446,2004117,2004119,3399449,5512081,7457328,7457327,8552731,8540086,5568893,5568892,5493910,3384078,2019028,2019027,3419222,3399565,2004226,1145664,1145663,1152155,2014340,3412984,5526701,8528249,12574293,17768580,24132120,31639372,32453847,41295060,40328965,32453842,31639350,24132104,24132105,31639352,269004391,257201338,37187690,40328951,31639344,31639345,40328953,50356166,47083071,37187679,28666438,21420230,15429369,10666515,10666516,15429371,21420233,28666449,37187692,34608309,26620015,24817453,18326998,18327000,24817456,32453833,41295048,40328937,40328936,50356156,52542514,50356199,40328988,40328989,43879114,46917617,37039793,28541027,28541028,37039795,37039806,37039805,46917631,58283217,49121724,49121725,60522799,61840343,50356188,40328973,40328974,47083068,37187676,256645834,32453885,34608345,26620036,19810370,14190087,9754709,9754707,14190083,19810363,19810366,26620031,34608334,43879139,41295054,32453837,25475213,25475214,33223158,256645832,58461119,51195923,41039906,32247333,32247332,41039903,257201342,60522786,60522790,49121712,39194071,39194070,49121709,49121728,39194092,30597012,26620233,19810515,19810514,26620231,24817501,18327023,18327022,24817498,24817505,32453903,41295125,33223088,25475165,18873885,18873886,25475167,33223093,42183071,39194127,255665874,23177952,23177953,30597010,30597022,39194106,49121735,268241528,41295084,33223551,33223552,255665896,39194069,41295106,41295070,33223162,25475216,25475217,33223166,42183127,41295112,32453893,24817495,18327021,268015261,8857071,13009467,18327027,24817510,32453912,41295136,42183108,52541945,42183109,39194094,39194095,33223151,25475209,25475210,24817470,24817471,24817481,23177972,16913218,11836630,11836629,16913214,23177961,30597028,39194113,39194068,30596995,23177944,23177943,30596989,31857362,31857363,40558920,49121714,52541927,42183137,33223171,255665906,18873914,25475222,33223170,255966906,32453881,24817488,24817489,32453884,41295101,32453906,32453905,33223072,25475156,25475157,32453851,32453852,254922846,30597014,39194097,32453871,24817475,18327011,13009460,8857069,8857068,13009459,16913210,16913209,23177949,30597004,39194083,42182555,41295094,41295095,51511809,52541518,51411545,48033168,48033170,42183586,33223556,25475523,18874101,13449461,254651006,25475198,25475200,33223143,42183110,254445218,254445230,52542424,42183598,267779480,18874104,13449463,13449462,254113226,33223564,35180640,36752603,36752604,254204796,33223101,25475172,25475171,33223099,42183079,52541937,58295574,46929826,46929825,44772539,42182394,33222448,25474643,18873465,18873464,25474641,32835637,40558831,31857221,31857220,31857315,267749122,40558880,40558861,31857265,267779478,25474651,18873468,18873467,25474648,33222453,42182402,52541365,52541377,42182418,33222471,33222472,42182420,33223094,33223096,42183075,52541933,63108037,58295581,46929837,46929836,47710451,40558910,31857328,24770068,24770069,32392538,32392554,24770083,18291282,12982901,8837890,8837889,12982899,18291279,24770079,32392546,33222438,31857273,24335234,24335233,31857268,29227467,21911380,21911381,24770108,31857249,24335211,24335212,31857252,39023866,40550724,254445228,18873480,18873476,18873477,25474659,21931399,15844157,10979880,7267549,7267548,10979878,267923284,6021157,9196956,13449000,17945582,24335298,24770177,24770176,31857281,24335239,24335240,24770070,24770071,32392539,31857278,254300000,17945536,24335236,24770100,18291301,12982910,8837894,5759250,5759249,8837892,12982906,13449005,18873479,255665862,254922818,25474636,25474635,24335301,17945585,12716225,12716226,17945586,24335304,254922822,24335246,17945541,12716195,8640131,5619167,3766759,3766760,6021161,9196962,13449009,18873483,24770089,18291289,254922800,24770107,18291304,18291303,24770093,18291294,12982908,12982909,18291299,24770098,21338414,255625560,17943790,17943789,255262852,29626743,29626744,32392606,24770170,18291360,12982970,12982971,268025654,31857284,40558867,31857289,24335258,17945550,17945549,18039524,12787433,12787432,18039521,13832340,268051310,15992410,22102636,21338413,15364546,15364545,21338409,28565396,254922814,17945535,12716192,12716191,17945533,24335224,31857261,40558855,32002030,24443070,24443069,24457855,18039519,12787430,12787431,16273762,11315907,7513481,4749599,2862426,1661314,945230,945231,1661318,2862437,4749620,7513520,11315984,11315826,7513436,4749576,4749573,7513432,11315820,16273629,22441829,29808398,38380333,41027404,51183903,47113084,37216051,37216052,47113082,58491110,55624585,44726201,44726202,258548995,73548372,60801358,49400726,39472201,39472200,49400724,60801356,258222022,258222020,99780025 Dl.O(d2) = 75325565,75325564,259563595,117241510,262388891,261405748,92510528,78470869,65186793,257167310,42752738,53201732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162351, s2 = 14070244, dlinesl.size( ) = 18 s1 = 14070243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070243, s2 = 14162352, int(edited[s2]) = 0 s1 = 14070243, s2 = 14162352, d1 = 21, d2 = 14 Dl.O(d1) = 51919759,41617824,257167311,63728349,76831216,90701143,261405749,262388890,131039656,259563594,101821390 Dl.O(d2) = 268456950,39971467,39191401,30594104,23175354,16911087,16911088,16911091,11835034,7909471,5027999,5028000,7909474,11835039,16911143,12820056,8716357,8716358,12820060,10674222,7050345,5370628,3301590,3301591,5370630,8323138,12322241,17477366,15366266,15366265,21340544,21433885,15439841,15439840,254269698,37070270,33222528,31297220,23811223,23175372,23175371,30594122,39191428,32392682,32392655,24770217,23175368,16911099,11835014,7909461,7909462,11835016,16911103,23175376,25474702,30594222,23175439,268218118,17477334,18083019,18083018,24512788,21433877,21433876,24770257,18291446,18291445,18873855,23815279,17480653,17480654,17480666,17480683,12324862,8325403,5372928,3303730,1943544,1110330,623143,623144,1110334,1943530,1943529,3303709,5372898,8325361,12324796,12324817,12324584,8325222,5372802,3303643,1943498,1110308,623136,623137,1110313,1943507,3303662,5372835,8325270,12324656,10495199,6920712,4347879,4347878,6920709,10495191,15214730,21173915,28393600,31301008,23815229,23815228,24374698,23814715,17480238,12324530,12324532,12739526,12324464,8325150,5372764,3303623,1943488,1943489,3303626,5372769,5372882,3303698,3303697,5372880,8325338,12324760,12739520,8657080,8657081,12739523,12324528,8325195,5372789,5372788,8325192,12324521,8325247,8325250,8325294,5372848,5372849,8325298,12324704,17480478,17480729,17480730,23814619,21173909,15214724,15214721,21173904,28393584,256841635,31301621,31301705,39976399,40060769,49992137,39975970,31301316,31301315,39975968,31301430,23814941,23814940,31301429,31378090,28393607,21173918,21173920,17480553,17480552,23815124,31301655,39976331,49992481,46769004,36890750,28393603,28393604,36890752,46769007,40619488,37882338,37882337,38635776,30061908,22684658,16485691,16485692,22684662,30061914,38635784,33696308,29674871,22323995,22323996,29674876,30063155,30063104,30063105,38637240,48551755,59943966,49991829,49991734,49991733,40060737,40060736,39975681,39975680,49991856,39976057,31301389,31301390,257064711,50082209,61562543,60686613,49285565,47805965,37882322,29313454,29313453,37882320,47805961,59205396,71944505,59944063,59942285,48550101,48550102,40060688,40060689,49992474,39976325,39976326,49991894,59205407,53175522,42726028,33696302,33696301,42726026,38637233,38637234,31301658,31301660,39976337,49992485,61469905,61469902,61469903,59255483,59255484,49285518,49285519,60686580,73434397,270850937,270315869,48430320,38522618,38522619,257500271,37939811,37939810,257542475,60606077,60606076,71151489,74247657,74247656,67731769,67731770,67731762,60606074,60606075,270873066,73351142,258526050,47859154,47859155,59255520,71992105,85578709,76367166,63334691,63334692,63334710,58430097,258053147,257743031,41384440,41384441,51610497,41384419,32533914,32533915,41384421,32533938,32533937,41384459,51610533,58725243,58725244,71455722,67601571,55259831,44412195,44412194,47336532,37428251,28886222,21610152,15581157,15581160,21610143,21610144,28886210,24889077,18389333,13062055,8900910,8900908,13062050,18389323,24889052,32533929,41384446,51610515,41384434,41384433,51610513,63334738,258165108,40060732,40060731,50082201,61562536,63334739,258222021,258222023,63334839,60777875,49376442,49376443,60777877,63334704,63334705,258548994,39472382,49400923,47055555,37164676,28648058,21406051,18239172,12937746,8801807,5733455,5733456,8801808,12937749,18239177,17167131,12070816,12070815,10660561,7040109,4430084,4430083,7040106,10660550,8325444,5372953,5372954,8325448,7702359,4874728,4874729,7702360,5759263,5759264,8837920,12982944,18291337,18873537,13449080,9197034,6021238,3766821,3766823,6021240,6021271,3766843,3766844,6021273,254922815,18873495,25474670,33222475,25474700,18873532,14587932,10037807,268051311,9197119,9197118,13449155,12982951,8837926,5759267,5759268,8837928,12982953,13449076,13449113,268025655,6021226,9197022,9197016,9197017,13449067,18873521,13449150,255262853,12983062,12983063,255625561,18873494,13449024,9196978,6021168,6021167,9196974,13449018,9196982,9196983,13449032,254922801,9196966,9197011,9197096,9197095,8837901,5759255,3586789,2138068,2138067,2256900,3766846,6021276,9197084,254922823,6021353,6021351,9197159,6021355,6021356,6021293,6021292,6021315,254922819,255665863,13449015,9196970,6021165,3766762,2256852,2256853,3766764,6021169,9196980,6021281,3766848,2256901,254300001,3766876,6021211,3766793,3766792,6021210,3766809,2256876,2256877,3766814,6021230,6021360,3766902,3766903,5759247,267923285,6021313,9197116,13449153,18873617,25474789,25474668,18873564,13449119,9197098,6021291,254445229,3766988,6021495,9197344,9197452,9197319,6021470,6021296,3766865,2256917,1309859,747729,424877,424878,747734,1309866,2256924,3766801,2256872,2256871,2257020,2257021,3767030,3766820,2256881,1309839,1309840,2256887,3766826,3767054,3767056,6021219,9197014,13449049,9196995,6021190,6021191,6021521,3767009,3767007,6021518,9197378,9197005,6021451,6021450,9197298,9197169,6021367,3766906,2256940,2256929,2256930,267779479,747724,1309848,1309909,267749123,424883,239829,239830,424885,747741,1309879,2256949,3766922,3766994,6021499,9197346,6021586,6021425,6021426,6021462,3766973,3766974,3766990,2257006,2257007,3766960,254204797,747749,424891,239836,239835,254113227,1309891,2256971,3766955,267779481,1309931,2257035,254445231,254445219,2256935,2256936,3766896,6021348,254651007,6021431,3766965,3766966,6021448,6021549,3767036,2257023,2257024,3767038,6021551,9197405,7910697,7910698,11836643,16913243,23178008,25474813,25474814,33222598,33223659,33222586,33222585,33222589,30597052,25475396,18874012,13449397,254922847,9197400,13449498,13449471,13449470,9197456,6021608,6021609,9197459,13449563,18874213,16913238,16913237,255966907,18874185,18874186,18874112,255665907,30597071,23178016,16913247,11836645,11836646,16913252,18873500,18874117,25475547,23177995,16913233,11836639,11836640,16913236,18874008,13449394,13449395,13449180,9197145,9197144,13449176,18873637,25474805,23177983,16913224,11836635,11836634,16913221,18874060,13449520,9197427,6021576,3767059,3767060,6021579,9197433,13449532,268015260,30597062,25475557,25475458,18874058,18874059,25475461,25475538,25475537,33223545,25475515,25475516,33223403,255665897,13449392,13449391,18874002,268241529,16913226,23177986,25475390,25475389,25474811,18873641,255665875,18874097,13449460,9197364,6021508,3767003,3767002,6021506,9197359,13449454,18874085,13449525,13449526,18874177,18874180,25475590,25475591,33223627,42183678,42182548,42182547,42183574,52542409,52542430,49121772,49121773,60522814,52542414,42183585,257201343,31499317,24001466,24001467,31499318,40184242,33223541,256645833,33222593,25475478,18874071,18874070,25475475,25475506,18874091,18874089,25475488,33223522,42183565,48872739,42183564,42183563,42183568,33223539,33223540,33223543,256645835,42183557,42183556,52542349,52542348,52542554,52542555,64416089,52541513,52541512,52542412,49121763,49121764,50903300,50903289,40786622,40786621,50903287,62503716,62503725,51997918,51997917,52542363,42183529,33223496,25475466,25475467,33223501,42183536,42183545,33223507,33223504,42183540,52542380,52542395,42183554,33223515,25475480,21422862,15431549,15431548,21422860,28669647,37191478,47087206,58465427,60522825,49121776,49121775,60522823,52542393,42183551,257201339,269004390,62503720,60580890,60580889,52542385,52542386,64416860,60580913,60580914,73324705,61917696,50427630,40394151,31701809,24193937,17824652,12620443,8566866,8566865,12583168,8535799,5533742,5533743,8513522,12556995,12566580,8521632,5520284,5520285,8521633,6466241,6466245,9845325,10260153,10260152,14920882,17932671,24319546,31838772,40536621,33070410,25340686,18760672,18760671,268224800,31298610,31298609,33017901,25292177,25292178,21112359,21112358,21112106,21112105,24285627,20995415,15081148,10402285,10402287,15081155,20170117,20170116,27064324,27064350,21109689,21109690,21110826,15164784,10458235,6893637,4327369,4327370,6893644,10458254,6896177,6896175,10458379,6893718,4327408,2588840,1492384,1492382,2588834,4327396,6893696,10457798,10459216,10459218,15166065,21112166,21109734,21109731,28320110,268200598,37993324,29431131,22099388,22099389,29431132,37993326,47909430,46899279,37021421,37021420,30848728,23418442,23418441,29584078,38150169,48062893,59454070,72192015,85786058,99739909,99739901,99739902,99739904,85786054,72192013,59454068,48062895,48062894,59454072,72192017,85786059,99739907,85786057,72192014,59454069,59454070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070243, s2 = 14162352, dlinesl.size( ) = 16 s1 = 10864729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14012009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100423, s2 = 10999570, int(edited[s2]) = 0 s1 = 14100423, s2 = 10999570, d1 = 52, d2 = 29 Dl.O(d1) = 125557955,260022202,48477648,44413298,35038940,259156235,260988461,261212286,141623906,154279655 Dl.O(d2) = 160252495,261444228,25916013,19254291,13758359,9428009,6177799,3865735,2315744,1343198,1343194,1343993,1343994,1344224,1344225,1344235,1344237,1344235,1344237,1344235,1344237,2318579,2341506,2341430,2341432,2341894,2341897,3911730,4009335,4009334,6388555,9496106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100423, s2 = 10999570, dlinesl.size( ) = 44 s1 = 14208375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14012043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164209, s2 = 11329452, int(edited[s2]) = 0 s1 = 14164209, s2 = 11329452, d1 = 24, d2 = 21 Dl.O(d1) = 220629195,217568627,213901670,264359811,197468722,189805294,180917953,170789171,170789170,170789169,159450061,147075058,271991085,259659991,77571212,64403052,64403051,52529569,42171586,33211962,25464349,18864133,18864132,25464348,33211960,42171583,52529567,64403048,64403049,77571210,91502389,91502390,105727010,119962807,116113704,259647670,61675280,50191460,40167233,40167232,50191459,46592053,36705186,28213884,21020073,15097119,10412193,10412192,15097117,21020069,254916962,46592042,57968379,70686308,70686306,70686307,84238813,81173721,67708232,55368478,256749933,27060432,255333199,14468288,9954319,6542184,4098711,2451901,1417521,1417522,254317131,254692133,14468295,14468293,14468292,255333201,27060436,35145970,40787053,256060973,24467904,32030174,40787055,257704987 Dl.O(d2) = 271523612,262392767,261984946,120149023,105937065,91729755,77802239,77802240,259045385,64619807,52719636,42332469,256139129,25590329,257802683,77802240,91729756,80581530,67128043,54827810,54827809,67128041,258947812,89982056,84367356,70808628,58091729,46719855,36837109,36837108,258026919,84367354,86400369,86400370,270812778,128257197,141607763,154263752,166016607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164209, s2 = 11329452, dlinesl.size( ) = 26 s1 = 10866151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15267416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10867381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10868337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10868337, s2 = 11077574, int(edited[s2]) = 0 s1 = 10868337, s2 = 11077574, d1 = 10, d2 = 21 Dl.O(d1) = 53208548 Dl.O(d2) = 42758990,53208550,42758995,33729245,33729244,42758993,42758988,255419730,254743664,9434185,9434186,13757920,9427654,9427657,13757930,14049513,9660841,9660844,9565401,6277122,3930565,3930567,6277130,6198225,3879400,3879401,6198206,6179840,3867083,3867080,2365137,1369349,1369352,2365149,2401167,2401089,2401093,4006615,6385179,6029641,3772160,3772155,2400918,1389285,790055,790052,1389261,2400861,4006186,6384531,9706140,14110035,19681713,26418226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10868337, s2 = 11077574, dlinesl.size( ) = 2 s1 = 10868337, s2 = 11077574, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10868337, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 14047889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14047889, s2 = 11464616, int(edited[s2]) = 0 s1 = 14047889, s2 = 11464616, d1 = 21, d2 = 17 Dl.O(d1) = 255015100,9771449,255315985,22397477,22397476,255014340,17940877,12712782,12712783,17940880,254979431,6543810,6543809,9956473,14470876,20169544,27063681,35149496,41664256,32752984,25060915,18522265,13160582,8970606,8970608,13160596,18522297,25060967,32753046,29758793,22397625,22397624,20924478,20924482,16238000,13507151,9241670,9241671,11258719,268944527,85889752,273352742,193927462 Dl.O(d2) = 274100229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14047889, s2 = 11464616, dlinesl.size( ) = 26 s1 = 14070715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070715, s2 = 11406216, int(edited[s2]) = 0 s1 = 14070715, s2 = 11406216, d1 = 16, d2 = 13 Dl.O(d1) = 52410796,42066924,38823968,38823969,259940935,126781269 Dl.O(d2) = 130179471,261854837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070715, s2 = 11406216, dlinesl.size( ) = 8 s1 = 14099071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099071, s2 = 10158910, int(edited[s2]) = 0 s1 = 14099071, s2 = 10158910, d1 = 64, d2 = 72 Dl.O(d1) = 259311796,58540612,47152224,47152225,257449649,71272277,84846191,259931181,126618315,139972440,152671145,164515730,167913696,262328844,261277494,143812080,259491690,102549581,88543097,258244830,112609469,257711144,71125576,58407745,257126232,15408370,15408371,21393424,21160195,21160081,15203896,10486876,10486875,15203894,21160077,28377381,36874173,33582963,25787251,19142605,19142606,268164284,33408492,268752323,42612333,33588372,255686809,19147492,255379530,25304868,33031391,37276914,28744414,26689698,26689699,29280138,26130044,26130043,19866113,14233154,13556137,9280861,6437441,4038146,2419733,1400672,1400673,2419737,4038157,5226070,3188064,3188062,5226058,5226285,3188186,1865629,1865631,3188191,2146885,2146888,3599079,5776474,8861850,13015622,18335331,17450978,12301680,12301679,13188727,13188729,18560049,25109419,24362679,17967374,14243932,9791724,6437208,6437207,9791719,14243923,19879998,255374732,31581070,34695450,41138553,51322507,43958080,34683026,26688808,19869666,255731353,19861287,258508609,44348963,34971515,26892278,26892277,34971513,39820075,39820076,42781383,33750665,254976392,23201365,255411642,255839649,255504989,16672791,21252796,18970530,17165374,17165373,16931872,11850356,255968883,39220788,49147181,60546464,73289761,86900349,100880494,114932104 Dl.O(d2) = 254900873,256091879,268283940,268599637,32555029,24904644,255234431,254634487,5811903,8906286,13069964,255632217,18736050,18736049,25313196,256998221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14099071, s2 = 10158910, dlinesl.size( ) = 62 s1 = 14070487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10871305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14960171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14960171, s2 = 11363072, int(edited[s2]) = 0 s1 = 14960171, s2 = 11363072, d1 = 12, d2 = 9 Dl.O(d1) = 128337891,261764307,261000098,259796162,70844143,257319950 Dl.O(d2) = 263507119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14960171, s2 = 11363072, dlinesl.size( ) = 14 s1 = 15010037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15010037, s2 = 11600198, int(edited[s2]) = 0 s1 = 15010037, s2 = 11600198, d1 = 21, d2 = 31 Dl.O(d1) = 265524883 Dl.O(d2) = 274689269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15010037, s2 = 11600198, dlinesl.size( ) = 32 s1 = 10874292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10874292, s2 = 12238617, int(edited[s2]) = 0 s1 = 10874292, s2 = 12238617, d1 = 3, d2 = 1 Dl.O(d1) = 185527988 Dl.O(d2) = 153580954,153580955,165369534,176058960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10874292, s2 = 12238617, dlinesl.size( ) = 2 s1 = 10874292, s2 = 12238617, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10874292, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 14022633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14022633, s2 = 11406068, int(edited[s2]) = 0 s1 = 14022633, s2 = 11406068, d1 = 40, d2 = 42 Dl.O(d1) = 3584447,3589248,2139879,1235653,1235650,2139871,3589228,5762514,8842186,9756358,14192374,14192373,19813557,20295714,14564376,14564375,20295711,18063077,18063080,12806206,12806202,18063119,254917524,26621864,34610664,43881821,52453355,64320524,54663602,52377904,42034384,33086908,25354254,25354253,25406617,25406618,33146960,34610791,33146874,25406551,25406550,33146869,38640974,30066205,30066206,31748506,24237407,24237408,31748510,25406527,18816198,17887245,255593829,31778417,40473029,256044350,50479566,52453290,42100840,33146919,33146918,42100838,42100901,33146982,25406631,25406630,255201342,24240548,17864822,12651030,254874750,40447479,50483967,50483994,40447507,31752304,31752303,261324701,261863628,187475975,195493482,202350229,208114845,212868097,216755075,219976307,222694772 Dl.O(d2) = 227056397,227056418,265053524,222694757,225029016,227056423,228825221,230383237,228825176,265257148,225028977,227056376,228825174,230383233,265904664,266152266,230383240,228825182,227056383,274364326,230383238,274479826,265442622,227056424,265053528,219976301,216755070,212868094,212868095,216755072,265053530,227056428,228825224,265764080,228825213,265257150,225029004,227056391,225028988,225028987,265257152,219976295,216755064,216755063,219976293,222694757,225029016,227056402,225028996,274295677,212868087,208114838,208114836,264301806,265053514,265053516,227056380,274607859,235159570,266361758,274623278,265960408,217453317,213765248,264432906,197231033,263448006,269653666,18697905,13304893,13304894,12326109,9070272,254592785,3304220,2925607,2925602,2925634,2228648,1292498,737661,737665,1292513,2228670,2536379,2536380,4242136,4239661,2534913,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279525,6821873,6804986,6804987,6836641,4289689,4289690,5923777,5923775,254909203,6817109,254711869,12658934,8594708,5584453,3464733,2054681,2054680,3464731,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860025,3177478,3178771,3178769,3182606,3182604,5217290,6746383,4421657,2652885,2652884,4421653,7028956,9103752,9103750,10274215,8596827,5585973,3465578,2055093,2055096,3465590,5585993,5938061,5938059,9079462,5953682,3723249,3723248,5953678,9099643,8131485,5209694,3178426,3178425,3466122,2540045,2540044,2759212,4586261,7272423,8597501,256553215,21186778,255020707,6924770,10499471,6925215,4350481,4350480,6925211,10498185,6922579,6126068,3832934,3832935,3832956,2296514,2296515,3832961,6126135,9352807,13658260,18500473,18883111,13935447,9565845,9352645,6126036,6126035,9352643,255874227,15854524,21943048,29264732,256911531,33318058,263136153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14022633, s2 = 11406068, dlinesl.size( ) = 20 s1 = 14051199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051199, s2 = 14027518, int(edited[s2]) = 0 s1 = 14051199, s2 = 14027518, d1 = 39, d2 = 36 Dl.O(d1) = 38546520,48458839,269820821,260621089,261745331,263562215,273726950,176657277,262746322,261210566,100355864,86399092,86399090,72803510,60065631,60065632,270339819,271352269,100355866 Dl.O(d2) = 256979649,60065621,72803490,72803506,72803505,269827415,48669317,60065635,72803515,86399117,100355874,259417291,72803499,60065626,48669312,48669313,60065627,72803502,86399099,86399100,72803508,72803507,86399098,86399097,259417295,269827415,38747525,30164075,22774749,255112041,1698554,1698553,2928216,4859019,7679152,11542523,16559628,17583269,267997614,15595612,21626435,28901251,28901608,21626887,15596035,10789025,10789024,13930165,13338158,9113273,5962761,5962759,9113265,9105470,9105472,13326385,15388469,15388466,12737580,12737584,17974128,21620725,15590362,15590363,18234616,14255535,9798338,6440928,6440931,9798347,11949311,11949310,16296187,16296188,22464487,20832574,20832570,15808705,15808706,16296767,16296769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051199, s2 = 14027518, dlinesl.size( ) = 2 s1 = 14051199, s2 = 14027518, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14051199, Dl.E( ) = 40, 1.48e-05 seconds used appending s1 = 10875862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10876669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14046551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10877673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10877687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025089, s2 = 11690513, int(edited[s2]) = 0 s1 = 14025089, s2 = 11690513, d1 = 39, d2 = 18 Dl.O(d1) = 254140218,10959794,11030895,8197071,5962102,3728344,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285756,509772,888577,501342,281151,281152,501346,888587,1563015,2698098,1595680,254281437,2040507,1655223,1655224,1788607,3068222,3196250,5236213,254585339,3257143,3257142,5301561,3252311,3252310,5301560,8230149,10960588,8204330,8204329,12172151,12143517,8173049,5242310,5242311,254834445,8210032,5280867,3234156,3234155,5272906,8201980,8219127,254394761,1901504,3240769,5289183,8201979,5293804,3244973,3244972,5293800,8223601,6897856,4329961,4329962,5031956,7915433,8212068,5283172,5283171,7326412,4627242,2787117,1616860,1616859,2787116,4627239,7326410,11051009,15927730,17254600,12134801,267905633,5234657,4612172,2777045,1611002,254233347,4329965,2590427,2590426,3253527,3253528,3220221,1887123,1076694,1076691,1087491,919132,518349,290737,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609846,1879340,3208883,1880484,1072810,602766,602768,1072820,1880504,3210734,5254090,4970984,3002522,1743732,990845,557296,311608,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357870,5461496,7323540,4624591,2784978,1615391,918721,918722,1615395,2784984,2782519,1614035,1614032,2782516,4620884,7319103,11044298,15921566,15925306,11048434,8229277,5300661,3251486,3251489,3251472,3251470,5223182,3186297,3186296,5223177,8152051,8150153,8150155,255156041,8172601,5241727,3200526,1873801,1068872,1068870,1873791,3200509,5236842,8167126,7490719,7490718,8258140,5327649,5327648,8258135,11039361,8454813,5462116,5268269,5268268,8194267,5362692,5362693,8232142,254613447,254613449,12617646,17654971,17299803,17284290,12163490,12163491,17284294,17297206,17821070,17361055,12231381,8259077,8227259,5297936,3248807,1907307,1907308,3248812,3237670,3237671,4615250,2779135,2779136,3237273,1899203,1084078,608860,608861,1084082,1899212,1926207,1926208,3237303,4609122,4609121,5285881,8215277,8214489,5285079,3237537,3237538,5285081,8214491,8246096,12197913,8228651,5299840,3250755,267842579,8228656,8242474,8242475,8226598,5297048,3247846,1906577,1906578,3247848,5297051,5291463,5291462,3264887,3264886,3264877,3264876,3237675,3237674,3359781,5463814,5268367,3223059,1889216,1078051,605500,605502,1078059,1889243,1911990,3255028,3264869,3264872,5315618,7493211,7493209,11286457,8200619,5271369,4605832,254518935,10578793,10578792,254837961,5285073,5285072,3317439,3317440,3317466,1951664,254271017,3243168,1903250,1895470,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,1075650,1075646,1093735,614069,614067,1093810,1915234,1917164,1904608,1904605,3244993,4605436,5240835,3229636,1893938,1608856,915344,516517,516514,605184,605189,1077428,605145,605149,605216,1077514,1887336,1076817,1076819,606766,606765,1080318,1067131,1067129,1870739,1079387,606258,606254,1079367,1891442,3212592,1881822,1073587,1073585,1089659,1089658,1089512,611882,611883,1089799,1089865,611953,611950,988943,556365,311133,172000,94622,94623,172009,311155,556401,989020,1740437,2993267,4957870,5261635,3220894,1920772,1097243,1097240,1920759,1900629 Dl.O(d2) = 3268234,2997918,1741128,1741125,2997909,4963686,7821523,4963651,2997883,254172313,989386,989478,556607,556605,989473,1741259,2998127,2816974,2816977,1777538,1013462,571277,320032,177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,3254627,1911679,1911680,254351307,1634526,1634525,2817477,4676725,3201584,3201585,5242828,5306757,254584489,3248177,3248179,5297349,5301904,3252696,3252697,1910232,1090799,612441,612442,268660026,1913373,267842805,5320463,5320465,8248538,8206500,5277329,5277330,5294427,3245598,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614149,1093959,1900572,1915900,1609959,915963,915961,1609951,2775378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025089, s2 = 11690513, dlinesl.size( ) = 16 s1 = 10880150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14036274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10881138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14033093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14033093, s2 = 15062711, int(edited[s2]) = 0 s1 = 14033093, s2 = 15062711, d1 = 1, d2 = 11 Dl.O(d1) = 12640863,8768967,5710309,3554168,2117431,2117430,3554166,5710304,8768952,8768951,12892697,18179513,24634820,32232248,32247623,32247624,41040187,51196152,54704112,54704115,66963404,66963397,66963396,80393631,94453284,108746646,123015694,136846538,128462539 Dl.O(d2) = 262072490,149980095,136846490,136846482,123015657,114578343,100547560,86586432,86586431,100547558,114578341,128462535,128462534,128462546,128462535,114578335,100547554,100547555,86586432,86586431,100547559,99720755,99720754,113735372,127604189,136846467,128462556,114578350,100547567,86586436,72989124,72989125,86586438,258484292,60253531,51112725,40970600,255721098,61426397,255310104,31256849,23772232,23772233,256227138,20263267,27186931,35182700,27093856,20194772,20194771,21999067,29329435,37897986,39931289,31256309,27093833,27093832,35182675,38129682,37961352,29564063,22218419,254958518,9969786,6552321,4104823,2455315,1419326,1419327,2455316,4104825,6552325,9969796,14489966,20194890,27094016,35182854,44561215,36552925,36552924,32788565,32788566,36424260,36424264,29248987,29248986,28257863,24309974,24309971,26342126,24891915,18391597,18391598,24891925,32253858,32253856,31239349,23755715,23755716,31239352,30273707,25697324,25697323,30273703,38858142,48778307,48778304,38858139,30273701,30273702,38858141,48778305,60172755,72909815,86506441,100464561,114489177,118381268,118381256,104220633,90087644,76274989,75979334,75979333,89758051,75979335,62996629,51317572,41406626,32548490,24899153,24899154,32548491,41406628,39435341,39435340,47943631,47943630,59335640,50149956,40128465,40128464,42456632,33463541,25691241,19066916,13612070,13612072,19066920,19066970,19066969,25691315,33463625,42456724,52860731,59468858,72206496,85800610,99754581,113768856,116048957,101998977,101998976,88020195,88020194,74412553,74412552,61632500,50149950,40128457,31448723,267974304,17609199,23956242,31448722,40128456,50149948,61632496,74412547,88020193,101998975,116048954,129949540,143276461,261168872,167445279,177930922,187192819,195256501,263542614,211864329,211864328,215891908,219223673,215891909,215891907,211864327,206935347,206935346,200969458,193896104,185643879,176185650,176185651,185643880,273322308,165509903,165509904,165509905,262147336,127716580,127716581,261074332,99829427,85875368,72283128,59548746,48162038,38252915,29687804,22335370,16187880,11252313,7469472,7469471,11252312,16187882,22335374,29687812,38252922,38252923,48162045,48162049,59548752,48162046,48162047,59548755,72283136,85875377,259998463,85875378,85875379,99829430,85875375,85875376,85875380,85875382,99829435,260598583,141067361,145430295,157832106,145430293,132199251,118381266,118381267,271618376,157832108,157832102,145430290,145430291,272440518,179512710,176185654,176185653,185643884,193896109,200969461,200969462,200969463,206935351,206935354,211864341,215891910,211864332,211864333,215891913,219223677,265324654,223662560,225838155,226546925,274447564,226546920,228373885,226546931,224449944,222035600,219223679,215891915,211864339,206935353,200969466,273865463,211864335,264991711,264714272,264991709,219223680,219223678,218847419,215463724,274183985,215463726,211369306,206360399,206360397,200303202,193131347,193131348,200303205,263852734,193131351,193131350,184774353,175203758,164419523,152560778,139847369,139847368,152560775,261646920,139847374,126475919,112607210,112607209,126475917,126475918,112607204,270805492,71122934,58405100,58405101,47032818,47032819,47032817,37144118,28630429,21391772,255030704,255033383,21391773,28630431,37144121,47032820,47032811,47032812,58405093,71122929,84687301,84687299,84687298,98612060,112607196,126475908,139847358,152560764,164419507,164419518,175203752,175203754,175203755,184774350,193131345,200303200,200303199,193131342,184774347,175203751,175203750,184774345,187845480,187845482,195788869,202592786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14033093, s2 = 15062711, dlinesl.size( ) = 8 s1 = 10881901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14012861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161281, s2 = 11660706, int(edited[s2]) = 0 s1 = 14161281, s2 = 11660706, d1 = 10, d2 = 12 Dl.O(d1) = 433832,433911,762739,762622,762620,763132,1334899,766369,435810,435812,766379,1342121,2313752,1366132,778131,441564,441563,778128,1366125,2359444,3941474,254662405,3843616,2303047,1336466,763382,434263,245245,135488,135487,245283,245068,135411,73646,39811,39810,73644,135402,245021,433757,762472,1335017,2300745,3840224,6138010,9370585,13683212,19161932,19440158,19440159,256173997,33974816,271071368,53510529,258008727,46442630,36577598,28105594,255921369,16407276,11423700,11423699,16407275,22589813,29953671,268951601,40892896,40892895,51030796,62657420,75600210,89361910,103457505,89606248,75824109,62860311,51210441,41053413,32259178,24658799,24658798,32259177,257137457,62860310,75824107,89606247,103721119,117874648,117874649,260801259,273173064,168800955,179079674,188144062,196043221,264322975,274184490,209411863,203967184,197439806,197439804,197439802,197439803,189771912,189771910,273789119,203967187,197439809,189771915,180876897,170735488,159385083,261655906,119881575,119881576,126575658,260526434,91416811,91416812,105642927,119881593,112711852,98716587,84789011,71220311,58498413,47120000,47119999,37222397,37222398,47120005,256324154,28696821,21445196 Dl.O(d2) = 21445195,28696819,37222412,47120024,58498449,71144594,58422986,58422985,71144592,84714566,98645067,112641954,126506856,116400448,102308482,88312995,88312994,102308480,88313002,88313000,91416801,77485967,64322021,52454769,42102327,33148215,268295959,13405680,9165303,5998692,3751438,2246455,2246457,3751414,5896120,3682791,3682793,5896126,9027204,9125653,5971576,5971575,9125651,11736750,11736749,16786129,18514468,17308131,12184760,12184759,17308130,19183878,19183879,18771851,18771848,17956277,17956278,13918141,9552858,9552857,13365451,9134261,9134263,9384246,6147822,3846956,3846955,3924611,6268209,8719957,8719955,12825561,18090661,21967799,15873944,11002773,11002774,7283558,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,7285388,9133810,7282684,7282683,9135857,13364863,13367742,18090602,18090601,13369685,13369686,13369523,13369524,15819071,21897735,21969686,15876315,13367789,9135902,5978417,5978418,9135905,13366576,254535060,5979407,3739085,2238556,1298131,740868,421079,421066,421065,740843,1298076,2238433,3738841,5978947,9136737,255256193,25354877,33087498,42034990,52378533,256687676,78698765,257245852,85837064,72245141,59510581,48123094,38212829,29646309,29646311,38212833,48123081,48123083,59510566,48123564,38213301,38213300,40200536,31514160,24013390,24013389,31514156,24013396,17665792,12492138,8460961,8460960,12492142,17665802,24013413,22294732,16149710,16149709,22294730,29646804,38213380,48123650,269202604,256234088,52378530,47417694,37509897,28966503,21684538,15645311,10828031,10828030,8469745,8469744,8824067,8807177,5737098,5737097,8807175,12944858,18247753,256079851,32337225,41152538,51337841,63018859,61426877,49949348,269396079,74205453,70396631,57702547,46353284,36495379,36495378,46353282,38978740,38978739,255693756,21370970,15390649,10636366,10636368,15390657,21370991,15394732,13785489,9451787,9451784,13785480,19283882,25947748,33755377,42329728,257505493,72071447,85658504,99607932,259809628,84585501,84585500,98510463,112505619,261095235,152475166,164344100,175138449,184716751,193080588,264175715,264724715,218814320,221673372,224128695,226258510,228112542,229739403,231183030,232477795,232899670,231646049,265960212,265678028,222494969,219749251,216497118,212576605,207779706,201961143,195043834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161281, s2 = 11660706, dlinesl.size( ) = 2 s1 = 14161281, s2 = 11660706, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14161281, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 14034707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10882577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14953511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14953511, s2 = 11186386, int(edited[s2]) = 0 s1 = 14953511, s2 = 11186386, d1 = 17, d2 = 19 Dl.O(d1) = 116049300,259995828 Dl.O(d2) = 101999408,101999409,116049307,116049308,129949838,259531706,129949780,129898983,129898984,116049291,116049292,129949810,116049281,116049282,261084893,261172330,119906300,119906305,119906306,133775032,133775073,261841253,129949811,116049281,116049282,112333626,98350465,84440671,70883371,62629453,51006294,40871106,32099336,32099337,40871107,50577105,268379242,36620015,40540885,40540884,36622067,36622064,31843023,30461996,23053995,16807829,254808867,4981587,3009313,3009314,4981589,7847700,11753420,15217732,15515067,10730343,10730345,12709099,15226740,15226738,21189592,28411115,30003219,36381478,27937132,20783922,14896250,12708821,12708822,17936026,16942110,12708573,8634521,8634519,12708569,12709392,11458912,11458913,16446365,13658122,12708378,8634418,5615127,3488025,2071666,1189905,254194975,2605759,2605760,4350963,6925998,10503713,15227417,15218799,15218798,254722717,6924754,10501705,15224542,21186762,24166271,23058892,16811518,11755932,11755931,16811495,21180071,21180069,20784043,254994833,6730168,4216714,2521078,1452790,1452789,2521075,4216709,6730161,10242770,14896299,15222098,15222097,21183549,22634005,22634004,30003744,36905447,36905446,31371624,25603999,25604000,33368629,36907845,28410549,28404966,23054031,16807853,11753424,7847703,4981591,4981590,7847701,11753422,16807850,18306015,12994397,12994398,13902607,9540747,6259216,3918445,2345574,2345576,3918456,6259243,9540806,13902705,19212972,13902252,9540446,9540448,13902256,19213074,13723493,13723494,19212172,13722923,13722922,19212168,19470957,19470958,13935567,9565928,6277524,6277525,9565932,13935560,13935561,19470969,26171906,33675179,33675180,42705440,53155524,60368875,49949793,39932720,31257846,23773084,17444039,12296379,12296376,17444028,23773060,31257818,39932698,33676110,33676111,256067451,18113399,12843944,8734277,5686287,5686286,8734276,12843942,18113394,24549378,32129509,32129551,32129552,40906252,49317347,49317350,40540359,40540358,50576709,48131088,38221045,38221046,48131091,40906233,40906232,51046745,59518327,64783706,52864688,52864689,57620546,57620545,70310968,65967410,61349530,59304899,47910442,47910441,39767506,39767504,49787210,48129933,38219924,29653911,22302257,22302256,29653908,32129467,32129466,38221031,29655091,29655092,30787230,23361877,23361876,30787226,39389551,49317323,39932726,31257851,31257852,39932728,32129465,256577613,51046680,62676199,72251229,59518299,48131022,48131021,59518297,48131054,38221017,29655082,22303381,16157609,16157610,22303383,29655085,38221023,39389546,48131083,38221043,29655099,22303389,22303388,29655096,38221041,48131081,48131092,40782856,269023591,59579993,48257846,38347371,38347370,31841497,31841498,32026425,32026424,40782909,47948940,40782920,32026433,32026432,40782918,48257835,59644724,48263918,38352849,38347358,29775785,29775786,38347361,38352844,38352846,48263914,40782800,32026313,24464391,18045024,18045025,24464395,23289109,17029732,11944633,11944634,17029736,23289114,30705197,32808721,32808720,41729058,40540335,40540336,38035320,38035319,29472598,29472597,38035332,38337574,29766563,256407055,24322532,17935159,12708262,8634347,8634349,12708268,17934671,12707946,12707945,15483056,21487688,28745878,31842131,31842132,40540352,256186870,50576392,59635155,50899502,40782816,40782815,257590674,38035383,40540347,37278425,37278424,32026616,24464674,18045233,12792071,8696797,8696798,12792075,18045239,24464680,25105455,32807574,25105422,25105424,254882830,18556426,13185463,13185462,18556347,18556229,13185332,8988055,8988053,8987811,7073858,7073859,10707507,15484343,21489847,25106077,25106078,19638949,19638951,15484380,10707522,7073864,7073862,10707514,13069134,8905671,8905668,13069125,15483106,15429002,10666262,10666263,15429007,12708098,12708100,17934898,18049501,12795452,12795453,18049505,24469519,21419786,255833925,21487522,28745677,24464630,18045199,12792046,8696781,8696782,12792022,8696772,5660655,5660654,5614983,3487961,3487960,5614981,8634168,12707960,255598465,13185318,8988047,5868077,3663901,3663900,5868076,8988044,13185314,18556189,13185386,10706945,7073607,7073608,10706952,15483274,21487459,21487512,18556542,13185978,13185976,13185994,8988457,5868312,3664026,2192723,1273202,1273200,2192713,3664002,5868282,8988396,12708038,12708039,17934811,24322064,31841628,31841979,31841980,28318616,21108235,21108236,28318618,25104896,25104897,24224280,17852550,17852551,24224281,31732774,38158618,29592316,256393279,48071226,258125263,81603557,77796131,64613464,52713161,49280716,49280717,60681559,73429229,87046588,101042163,115116162,129043366,142417236,155062216,166760700,177317524,186643007,194763106,201711201,207559485,212382719,216327970,219600454,222365279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14953511, s2 = 11186386, dlinesl.size( ) = 20 s1 = 14077857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077857, s2 = 11653848, int(edited[s2]) = 0 s1 = 14077857, s2 = 11653848, d1 = 32, d2 = 25 Dl.O(d1) = 258198404,18200387,24659489,32259856,41054112 Dl.O(d2) = 259618188,63581652,51795901,41518322,32632923,24963703,18445171,18445170,24963701,24963713,24963712,32632934,32632935,270272399,257049460,28026987,28045033,28045034,259251307,111718755,98508618,258054414,37059249,28558461,21332574,15359769,10611780,267824976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077857, s2 = 11653848, dlinesl.size( ) = 34 s1 = 14135829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135829, s2 = 11333006, int(edited[s2]) = 0 s1 = 14135829, s2 = 11333006, d1 = 22, d2 = 28 Dl.O(d1) = 265465329,265730748,265213394,216083121 Dl.O(d2) = 194269331,186061516,263901160,86382577,269340392,7673744,272557696,262745309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135829, s2 = 11333006, dlinesl.size( ) = 36 s1 = 14063051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10883981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020453, s2 = 10884946, int(edited[s2]) = 0 s1 = 14020453, s2 = 10884946, d1 = 13, d2 = 9 Dl.O(d1) = 3753848,2247991,2247990,3660128,2413018,1396732,1396734,2413023,1520678,1520679,2633489,267844317,1942326,1942325,3302341,5371557,4433072,2661445,2415893,1398434,795827,795769,795768,1398365,2192866,2192865,3664182,2242295,1300327,1300326,1395065,1395066,1273413,727940,727943,1273423,2192107,1398480,1398478,2194813,2194811,2257558,1419524,1306347,745621,745620,1306340,1394976,1394975,2410849,3661917,3661916,2192530,2192529,3663673,2192474,1273026,727701,727699,1273022,1272790,1272788,2192207,1414014,1272626,1272625,2192017,267778285,727738,727721,727720,795960,451094,451092,795952,1398616,2416092,2192524,2192523,2192874,1273315,1273314,729022,415088,234550,234548,415086,729019,1274641,2194388,2440458,2440459,3668987,2196216,254201849,1273304,729200,729199,726006,726007,254201509,728996,415070,415069,728993,1274618,1272719,727509,413951,413952,254095429,254122,451064,413931,233767,233766,413924,727471,1272663,1273384,727923,727674,727675,742077,421706,237978,237977,421700,742062,793919,1395769,2193899,2193900,2193756,1274130,1274129,2193716,1274071,1274070,2193136,1273560,728036,414265,414264,727450,1272631,794164,449890,253289,139945,76456,76457,129553,129554,234627,129493,129492,234609,234095,234096,234528,234529,415058,728977,1274588,1274497,1274498,2193098,1273508,727998,414234,233945,129032,129031,233940,414231,727996,1273506,728206,447940,252026,139100,75840,41096,41095,75836,139092,233136,233135,413001,240065,132770,72206,72207,132775,233207,233206,413100,726406,413832,233714,233713,413831,449984,449983,794233,449956,449955,729576,726913,726914,254147041,423871,239226,132231,71889,38994,21495,12041,12042,21501,39009,71918,132280,239288,144017,140756,140755,132354,71961,39029,39030,71966,42169,42170,77393,72472,39346,39347,72477,78078,142389,145021,143923,143922,132324,132323,239350,424048,259841,144184,79347,43437,43436,79345,43702,43701,79776,145027,140650,76986,76985,140648,254212,451209,796109,1398750,2416253,4031871,6426421,8327016,5374232,3304655,1944154,1944153,3304654,5374230,4299954,4299955,6791493,6791494,8326236,5373605,3722054,2228652,1292500,1292501,2228655,2556153,2556154,4254813,255280823,9935110,9935109,8801798,7054050,4440499,2667048,2667049,4440501,7054052,268071981,26011793,33829803,33988211,43046878,53526562,61739261,58176625,46809259,36930990,36930984,36930983,40131763,40131764,50153304,51022750,51022754,62648712,53332224,53332225,42871132,42871130,53332317,42871149,42871147,51004670,41686199,41686200,40869705,40869706,33829914,26011871,19337578,13828854,13828853,19337576,26011864,33829899,42871086,53332266,65329693,78626136,92680374,269442878,65329557,257077098,42870946,43046886,53526573,65551405,74672811,74672812,74672830,61880677,50390975,40356017,40356016,43349408,53874516,65329625,65329624,65329648,53332221,53332222,65329659,63812814,51997562,41686192,32769813,32769812,41686190,51997559,61880666,53332186,269538473,42871069,33829891,26011857,26011858,33829893,42871074,50391034,40356057,40356058,42871100,42871099,53332283,65329710,61880700,52161753,52161752,53332194,53332193,65329641,65329581,53332326,53332327,50390958,40356001,31660954,24150352,17783223,17783225,24150359,31660968,40356026,33829849,33829850,42871010,33829861,26011838,19337561,13828844,9484564,9484565,13828849,19337570,26011850,33829884,42871058,50390962,42871037,42871038,50391013,61880718,53332279,53332280,65329704,71098713,61880744,61880745,53332244,53332202,42871028,33829866,33829868,42871032,50390997,61880703,53332146,53332145,42871144,33829939,33829937,42871139,43881860,42871156,42871157,40355995,31660947,31660946,31660962,33829926,33829925,42871127,52250610,42870990,33829841,26011824,26011820,19337550,19337547,26011814,33829828,33829873,33829816,26011803,26011804,24150363,24150364,31660982,40356046,50391020,61880733,53332152,47011117,37124174,28613309,28613308,37124167,47011114,52663818,42871094,42871093,53332275,65329701,78626199,78626152,78626151,65329748,61880772,50391050,50391049,61880769,61880643,61880642,52663815,52663817,64564670,53332311,50391029,50391028,61880742,65329606,53332150,42870981,33829834,33829833,257242189,65329601,74672858,61880705,50391003,50391005,61880707,50391015,50391016,61880724,74672866,84661595,84661593,91675046,77747708,64564684,52663832,42276539,42276536,52663827,64564681,77747703,86396677,99831509,88298422,88298420,74672907,61880767,50391048,50391047,61880759,74672904,88298395,74672886,61880751,269884113,86563184,72964247,72964248,78626157,72800694,60062122,48665290,38743489,30160595,30160593,38743483,48665280,60062117,72800684,74672927,61880799,50391071,40356079,40356080,50391075,61880803,65329718,77587939,74672868,74672869,88298378,74672876,64564678,52663824,48829394,48829393,60225531,59551743,59551745,72285834,85877773,99831514,98145361,88298412,74672897,74672896,70700076,57982372,57982371,70700073,84251791,87843281,74237917,74237916,72285804,72285803,85877752,74672957,61880834,61880835,74672959,67780580,67780579,59551715,48165144,48165145,49176151,49176150,60574986,61880795,50391066,40356095,38503867,38503866,48409721,59794604,72529849,81250154,67780601,55437598,44588094,44588092,38907628,38907629,48829386,60225528,70700088,84251799,98145369,90899077,77019209,77019208,84990644,71416911,71416910,84251786,84251785,87843285,74237919,61458540,49980366,49980367,61458543,74237926,87843294,85877759,72285813,59551727,48165152,38255868,29690618,29690617,38255867,48165150,59551725,59551758,59551756,72285843,85877781,85877786,94381866,81250105,67780613,55437606,44588100,35208147,35208149,44588104,55437608,67780619,81250163,95311105,108668967,94381869,80326714,66899215,66899213,80326713,94381867,108668965,113847405,99831482,85877725,72285773,258755685,72285838,59551751,48165165,48165164,258132527,80326699,81250167,80326712,66899211,54641794,43898634,34626397,34626396,43898630,54641789,66899207,80326704,94381863,260377907,260878088,129191972,115264026,101188327,259040130,112104021,260490955,127718337,259998625,85877737,85877736,99831495,260598753,108668960,94381861,80326703,66899204,54641787,54641786,66899200,80326701,259169691,67780636,55437626,44588114,44588116,258540667,95311118,109567960,95311061,81250077,81250076,95311059,109567958,271777491,98916017,258693641,71417015,67780633,258540665,80326675,80326674,80326720,85877741,72285788,59551707,59551710,55437532,55437533,67780526,81250082,80326677,80326678,80326727,84990677,84990678,94381855,80326697,66899194,54641782,43898627,34626393,34626392,43898623,54641777,55437564,44588070,35208135,27116568,27116570,35208139,44588079,55437580,54641764,54641763,54641767,54641768,66899180,80326683,259762839,95311069,95311068,109567968,113638204,113638203,261000885,122933194,108668970,259134015,66899221,66899220,80326690,259134011,95311075,81250117,67780556,55437556,55437555,67780554,71416855,257920223,269640687,81250097,71416965,58683418,58683417,71416963,71417013,71417014,80326689,71417017,59551711,59551710,55437532,55437533,67780526,81250082,80326677,80326678,80326727,81250134,81250133,95311083,108668953,94381851,94381852,108668954,95311071,81250109,67780551,67780552,270663275,84990764,95311113,95311114,259320351,84990747,270663277,81250112,84990681,98915992,84990748,84990749,98916035,98915915,84990554,84990553,98915914,84990745,71417037,58683494,58683495,258693645,71416817,71416818,58683512,58683511,71417058,84990581,259320333,112903897,112903943,271310302,58683489,58683488,47292539,37383347,28843473,21571977,15549310 Dl.O(d2) = 10754265,15549319,21571996,268617629,37383335,47292520,256878655,28843462,28843463,37383326,37383369,31029620,255845215,21572021,21572020,21572026,21572025,21572018,15549332,15549331,21572015,21572035,21572034,28843544,37383413,47292425,37383379,28843502,21572002,21572003,28843503,37383381,47292563,58683402,58683403,71416942,257626455,39706676,31029623,256497299,257626453,73983506,270298362,269319033,71417066,61204111,61204112,258857843,101546381,271849811,91805253,91805252,106000274,120201209,120201211,120201210,120201213,261452681,120201208,271998197,134034405,271551343,106000280,271970409,260836233,271976710,98915924,84990569,84990570,98915925,98915938,90681022,76812490,63711474,51904987,257755049,71416891,71416890,84990620,90681016,76812485,76812484,259623309,117688925,119033324,104849400,104849398,104464722,104464723,104849423,259939283,84990624,259320339,98915942,259623319,76812508,76812507,76812501,63711487,258369273,51904991,51904990,258369271,90681026,90681111,90681110,90681126,90681067,90681066,76812617,76812616,90317281,76488621,76488620,271004723,271014577,76812553,76812554,90681084,84990611,258996317,63711493,51905000,41605346,268480809,18488631,18488632,25018666,32702336,257166571,63711517,76812531,63711607,51905083,51905085,63441848,63441847,76488613,63711579,51905061,51905060,63711578,76488612,76812597,63711592,63441859,63441858,76488624,63711603,63711604,63711602,51905080,41605396,32702358,256612569,51904981,51904982,63711467,257601674,41605333,41605332,41605371,32702341,25018669,25018668,32702339,41605365,51905030,63711534,63711545,51905087,41605399,41605400,51692476,41442622,32576390,32576389,257158397,63441846,51692482,41442624,41442625,257745907,76488626,259613765,76812514,63711498,63711499,63711512,63711513,63711584,51905064,51905066,257166573,32702356,25018678,18488637,13135028,13135029,18488640,25018680,256612571,51905089,258369279,63711556,63711586,63711585,76812589,90681105,76812572,76812571,90681104,104849441,91327465,77408978,77408979,91327467,104849407,91327468,91327469,104849437,104849438,106000300,260191823,103453682,117583993,117583992,103453670,103453669,103453678,89358500,89358499,77882720,64692852,64692821,64692822,77408983,64259246,52403797,52403798,64259250,52873377,42469583,42469582,52873375,64792177,77985807,77985806,91805284,77882723,75597373,75597374,75597384,75597385,75597359,62655183,51029159,51029160,62655186,75597363,89358494,103453672,106000291,91805275,91805273,88126983,74514770,74514771,88126986,77882676,64692820,258242969,49820393,49820394,61300147,74081418,87688512,75597378,259576327,89358486,89358485,103453658,106000298,260290987,91805278,270003917,52778804,52778805,258421797,91805279,103453663,89358488,75597351,75597352,270968705,64692809,52778768,52778767,64692807,77882663,89358478,75597342,62655174,62655175,75597344,89358481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020453, s2 = 10884946, dlinesl.size( ) = 8 s1 = 10884948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10884948, s2 = 14020454, int(edited[s2]) = 0 s1 = 10884948, s2 = 14020454, d1 = 5, d2 = 6 Dl.O(d1) = 64012263,75614047,62669560,51041159,40902009,32126622,32126623,26901323,26901324,268172726,55209061,67552801,81022526,87116459,81018878,67549139,60748959,49346061,49346060,49346117,39416624,39416626,49346119,60748993,49346085,49346086,60748995,73497783,60748958,49346059,43956739,34681580,34681581,43956740,39416589,39416588,39416630,30811500,23382921,268103243,8084707,8084706,12025419,17112358,23382915,30811493,268975019,60749019,66960247,54700867,54700866,66960245,80390591,258324830,49346110,49346109,258840307,74516070,61734570,61734569,258899711,102116036,258242974,114044207,258865576,130081333,258242978,100016927,100016928,100016923,86053605,86053604,100016920,114044206,116173626,130081336,127925349,114044210,257051078,72454933,61734561,268988824,88128228,102116030,116173618,107062518,92723319,78661112,65357760,53355397,53355399,65357765,259081805,107062534,102116023,258865582,102116033,102116034,109380219,123571755,260105396,121359196,121359197,135209711,123603278,109410777,270659255,81098749,95156182,260105400,107062531,121359214,261487765,123603284,109410781,95156183,271169195,123603287,137335397,141316907,153987343,150377162,150377158,137335399,123603290,109410783,95156184,258529475,67633209,81098753,95156188,109410787,123603295,127957355,126753413,112900725,98912595,98912596,109410797,100050990,100050989,114077307,100050970,86088570,72491374,72491375,86088555,259396463,81098766,257909083,44450657,35075813,26991530,26991529,256744265,48375019,48375020,59757439,72491393,259396467,260150310,259396465,114077319,259320120,86088593,86088562,86088561,260014483,100050964,86088564,72491368,59757428,59757429,72491370,260614729,261117790,114077285,100050945,86088538,72491344,72491345,77882672,77882673,91805233,103448123,89352405,89352404,103448121,113326481,99323447,85378779,71789469,71789468,85378777,75591143,75591142,89352401,103448119,260290982,89352389,81098732,81098733,85378740,270784143,83717071,97590687,111531559,117578790,103448111,89352393,89352394,103448113,99323393,85378728,71789425,71789424,85378726,99323391,100050949,106792519,92485329,85378794,85378793,270968704,85378737,85378736,99323400,113326431,127185588,258421796,92485342,92485341,270003916,125350854,260290986,127185583,113326426,99323397,99323398,259576326,85378771,99323441,113326476,109821408,100016907,100016906,258242968,99323467,113326444,99942794,85984763,85984762,99942791,113965591,127185604,127185592,113326436,99323403,85378746,71789437,59047969,59047968,71789434,85378743,85378792,85378791,85378764,85378763,99323432,113326468,100659334,100659335,86686635,73082452,60342658,60342659,73082454,68091471,55693603,55693602,68091467,81581630,95616185,99323468,106792526,113326453,99323414,99323415,113326455,113326433,113326434,127185585,127185586,113326472,260191822,127185614,123961809,109821403,95616181,95616180,109821401,95616179,81581624,81581623,95616176,109821396,117578797,104848434,104848435,113326459,99323419,90680108,90680109,90680080,258369278,76811500,256612570,41603567,32700717,25017276,25017275,32700714,41603565,51903418,257166572,76811477,76811475,90680107,90680041,90680040,90680028,90680027,104848376,259613764,99780917,257745906,59499925,59499924,72235354,85827670,257158396,48111819,48111820,59499922,72235348,63710138,63710137,76811498,90680073,90680062,76811441,63710103,51903401,41603555,41603556,51903403,63710109,60632424,49231508,257601675,73378476,76811396,76811395,256612568,51903420,63710134,76811491,90680124,90680126,90680125,99780915,85827682,85827683,90680115,104848458,99780903,90680102,76811471,76811472,90680103,99780904,85827671,85827672,76811496,76811494,90680129,104848393,90680045,257166570,51903398,41603553,32700709,32700708,268480808,63710084,76811411,90680022,258996316,112905213,119032320,104848416,104848415,271014576,271004722,99780911,99780912,113794866,104848475,104848476,119032302,119032303,119032350,119032337,119032338,119032269,258369270,76811401,76811402,258369272,90680016,104848361,104848367,104848368,259623318,126757761,259320338,112905225,259939282,132852396,127662869,114377789,100353703 Dl.O(d2) = 90680003,104848350,119032266,119228839,105036417,90857611,90857610,105036416,271976711,260836232,271970408,140106962,271551342,164637393,271998196,146286440,261452680,152799919,152799918,146286443,133058905,133058898,119228827,119228828,271849810,140106964,258857842,98917602,98917601,98917613,269319032,270298363,112905315,257626452,256497298,58685443,71418896,257626454,59022286,71417591,71417590,71418903,58685456,47294642,37385459,37385458,47294641,58685454,71417544,58684118,47293292,37384125,37384126,37385471,28845408,28845409,37385474,37385479,37385480,37385475,37384129,255845214,58684124,58685448,52049129,47294607,47294606,256878654,71417588,58684172,268617628,37385452,28845396,21573632,15550582,15550583,21573636,28845403,37385462,47294646,47294569,37385403,37385402,47294568,47294659,41734619,32814078,32814077,41734616,52049133,58685479,47294675,37385487,28845415,21573646,15550587,15550588,15549827,15549828,21572636,28844244,37384133,47293297,37385467,28845406,21573638,15550584,254739152,7105232,4473316,4473317,7105234,10754651,15549840,21572650,28844260,37384163,257458789,58683331,58685432,47294620,37385436,28845388,28845387,37385434,47294617,58685426,71418881,84992505,84992506,271310303,102002384,116052565,259320332,112904311,98917610,84992526,84991210,84991195,84991194,258693644,84992510,84992509,98917591,105036395,98916416,84991183,84991184,98916417,112904305,112905304,112905303,112904332,98916448,98916447,270663276,112905302,259320350,126757080,112904320,112904321,270663274,109383129,109383128,123574599,125648067,111832961,111832962,112224346,112904325,98916443,98916442,87080180,87080181,98246122,98246121,112224324,109383117,95128966,95128965,109383114,98917570,98917568,98246132,98246131,98917565,98917528,84992445,84992446,98916421,98916422,269640686,257920222,84029822,97899737,95128984,95128985,84029817,84029816,97899731,259134010,98246133,84339010,84339011,259134014,126080275,139450984,261000884,111832972,111832973,125648076,125648084,111832979,259762838,70494922,70494923,70780214,70780213,70780208,70780209,84338974,81070882,67602756,55261051,55261049,67602752,81070874,84338983,70780221,58062538,46689502,46689503,58062542,70780226,84338991,98246142,112224350,101076124,87080179,87080181,98246122,98246121,112224324,109383117,95128966,95128965,109383114,109383133,123574602,112224364,98246165,98246118,98246119,258540664,98917511,98917566,258693640,126757807,271777490,138986163,125648081,111832977,97899742,97899741,111832975,125648080,258540666,81070907,81070905,86472222,100429420,259169690,98246146,84338995,70780230,70780231,84338999,98246148,112224358,126080269,260598752,162480996,150347276,150347277,259998624,147158599,260490954,105882093,259040131,77747700,91675042,105882092,260878089,260377906,98145312,98246149,84339000,70780233,58062545,46689506,46689507,58062549,70780242,70700033,57982344,57982345,70700035,258132526,95129039,95129040,109383160,123574623,258755684,112224321,125410558,111611743,98145314,84251715,70700006,57982323,46605390,36717310,28224188,28224189,36717312,46605394,57982326,70700010,84251719,70780240,67602765,67602763,81070899,95129016,98145335,84251742,84251743,87080147,73463179,60715221,60715219,60715231,49313260,49313261,60715234,73463188,87080157,101076109,114746875,100698081,86722963,86722945,83835348,70310324,57619859,46275411,46275410,57619856,70310317,70700090,57982383,46605421,36717328,28224202,21028465,21028464,28224198,36717325,46605414,57982369,70700066,84251780,75591128,62648678,62648677,75591122,81070894,95129014,103448065,100462868,86504698,72908099,60171104,48776710,48776711,60171107,72908108,60715240,49313266,39385560,39385561,49313270,60715245,67780607,81250160,86290723,88298434,88298433,75591049,62648589,51022644,40885607,40885608,51022648,62648597,75591058,84251751,70700041,57982347,46605402,36717315,28224193,28224194,36717318,46605406,57982356,57982366,70700063,78432218,78432216,89352386,75591132,73571768,73571767,87190868,101188326,103553658,89455111,89324099,75566218,75566220,78432202,89455180,86504705,86504704,87080159,73463190,73463189,74672946,84251803,75690193,71541869,58813090,58813092,71541875,85113324,89352317,75591046,62648585,62648584,75591043,86290721,269884112,103553734,98145330,84251735,70700025,57982335,46605398,46605399,57982343,70700030,84251739,84251767,84251768,98145354,101188330,87190871,73571771,60824173,60824176,73571776,87190874,101188335,88298366,84790242,84790244,89455182,75690143,62742789,62742788,75690137,75690047,75690045,89455100,89455203,75690180,257242188,51111568,62742855,75690183,88023131,74415430,74415431,88023133,75690122,75690120,87190862,73571764,64099056,52250621,52250622,64099057,62742786,62742787,75690135,75690184,62742857,62742858,75690186,75690163,62742827,51111543,51111544,58499230,47120658,37222935,28697221,28697222,37222942,47120661,58499232,62742698,62742797,51111498,51111497,62742684,51111377,51111379,40969118,40969119,32972996,32972999,41912827,50153241,40131713,40131712,40131726,40131724,50153251,53332213,53332212,51111467,40969133,32189443,32189425,32189426,40969105,32973006,32973005,41912833,43881838,41912845,41912846,51111576,40969234,32189517,24601711,24601710,32189514,40969228,51111562,51111407,51111408,62742707,61635494,61635493,62742701,51111403,40969079,40969078,40969190,40969169,40969162,40969161,50153151,41912818,32972985,32972984,41912815,51111538,40969208,40131722,31451630,23958569,23958570,31451634,40131730,50153262,51111484,40969147,32189449,24601684,18153915,18153913,24601677,32189435,40969121,51111444,61635487,50153166,50153142,40969249,32189534,24601721,18153937,18153938,24601728,32189542,40969083,32189407,32189408,40969087,50153174,40131641,40131643,40869720,32189501,32189500,40969212,51111540,269538472,43349402,34249401,26372313,19639179,14075644,14075645,19639181,26372316,34249403,43349404,51111595,61635589,61635592,62742675,51111368,40969045,40969044,40969137,40969138,51111472,62742771,74415318,61635481,61635480,50153162,40131676,31451589,31451590,257077099,40969245,269442879,62742869,61635495,50153179,40131645,31451557,31451558,32189505,24601706,18153931,18153932,24601707,31451594,31451593,24522701,18091481,12826478,12826477,18091474,24522692,32097929,40869714,32189548,32189550,40969269,40969025,40969026,32189374,32189373,32189384,32189386,40969050,40969184,40969185,51111511,62742809,61635476,50153140,40131669,31451576,23958542,23958543,31451582,268071980,6537684,4096041,2450412,2450411,4096039,6537683,9947254,13916755,13916756,255280822,14941123,20831631,20831630,14941092,10276072,10276071,14941089,17980012,22723235,30104796,38681780,35409509,27284070,20348721,14605599,10050143,10050144,14605601,20348722,20881268,20881269,28049715,28049716,25272347,25272346,26896455,20014655,14334363,9847218,6467616,4052461,2425393,1403884,798936,798937,1402973,798403,798402,1402971,2425419,4052492,5990864,5990863,4052767,2425576,2425577,2425636,1403130,798523,798522,1403111,798797,798796,452782,255229,141334,77431,77430,141329,255221,452769,798781,1403578,812205,812206,1427905,2470401,4129815,6467585,4053541,4053543,2426509,1403672,798817,452785,452786,798820,1403678,2426520,254147040,9850089,9913707,9913708,6515106,4082196,4082195,6515104,9200112,6023518,5871863,5871865,8993735,13192865,18552946,13182617,8986025,8986024,6023544,5868760,3664445,2193094,1273500,727989,414225,414224,727985,1273495,2191610,1272284,727179,413718,233630,128844,128843,233626,413710,727165,790943,790944,1390890,2403639,4010507,6390345,9713257,14118012,13182674,8986087,5866622,3662657,2191563,2191562,3662654,5866615,8986080,9756866,13176996,13176997,9713119,9713118,13181805,13181804,14897851,13389881,9153797,6021780,3767193,2257120,2257118,3767187,6021772,9197669,13188996,8990917,8990918,6426028,6426029,9773309,14216176,9902312,6508583,6508582,5871919,5871920,8993820,8987412,8987413,8801071,5875018,3668313,3668312,5875012,6426040,8801056,8801055,5871546,3666164,2194364,1274609,728989,728991,254095428,3666183,5871582,6426016,4031574,2416021,1398543,795898,795899,1398546,254201508,6426030,9773311,14216179,14396147,9902303,254201848,2440406,1410968,1410969,2440408,4078657,6508587,9902317,14396158,13192949,13187829,13187828,18557257,13186040,13186041,12936523,8800904,8800905,12936528,8989870,5869398,3664864,2193408,2193407,3664860,5869392,8989860,267778284,3664831,3664830,5869334,8989774,7385689,7385686,11134922,13192409,13192408,13200323,13200321,18237679,13186500,9902296,9902297,12518410,8480959,8480960,12518414,17698847,18575693,13200751,8999104,5875236,5869422,3664874,2193412,2193414,3664880,5869429,8989920,8999110,8999111,9773167,9773166,8998425,5874757,5874756,4031425,4031424,6425887,9773135,14216008,10977901,7266162,7266163,10977903,12793951,10665719,10665720,15428296,19810680,14190292,9754853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10884948, s2 = 14020454, dlinesl.size( ) = 2 s1 = 10884948, s2 = 14020454, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10884948, Dl.E( ) = 8, 1.19e-05 seconds used appending s1 = 14109397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14241899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10886562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10886562, s2 = 11203920, int(edited[s2]) = 0 s1 = 10886562, s2 = 11203920, d1 = 2, d2 = 60 Dl.O(d1) = 36458700,36458701,257385665,46311478,36458696,28000124,28000123,256807511,28000130,255358759,6751161,4230371,2529393,2529394,4230372 Dl.O(d2) = 8377447,12396201,17567709,23264659,17000907,17000905,23264656,30681294,31203932,39873827,254808538,17379622,17379621,12488226,12488223,17659944,24005290,20982207,20982204,17150619,17150621,15070053,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103169,1931002,3281535,3281530,5338503,8273617,12250473,17384488,23707584,17384487,17384488,23707585,31196260,39877424,49898888,40904334,32128316,32128315,40904333,257713201,75617033,88251335,101726216,257713402,95339880,95339881,92724806,92724807,91870656,77946030,77946029,65359223,65359221,78662950,67816947,67816946,75818022,67816370,67816371,62677329,62677328,75621947,78661771,78661772,89600564,102250803,105645085,92724046,78661926,65358406,65358270,53355751,53355752,53355788,53355789,50165623,40141778,31459307,31459308,40141782,50165632,61650323,74433257,61652645,61652643,74436170,81282025,67814805,258543071,81282423,67815188,55473273,44623713,35240769,32913787,32913790,33847495,26027073,19350381,13839305,9492621,6225441,3897244,3897249,6225459,9492660,13839368,19350500,256167827,42892236,53357717,65360987,258321824,67814599,81281769,258931128,92725327,89386943,258931130,78663287,65359515,65359514,258950580,78665043,78665042,268705606,61828456,67785919,55442377,55442379,67785925,78664014,77164858,77164856,78664875,78664874,92726493,88319533,74691852,269896064,62855293,51205853,41049292,41049293,51205857,62855297,71917522,59179101,59179100,71917521,85503021,99444929,88252410,74621688,74621687,269440866,109594442,259555466,95340177,270414990,102030760,88045508,88045509,258892569,74437008,85955327,85955329,95315633,259556234,107064588,95341227,85345071,256565436,47609835,47609836,59012849,47609825,47609823,59012871,67816605,67816606,78662151,65358560,53355945,42891045,33847172,26026895,19350272,19350273,26026897,33847178,42891058,42891632,33847529,26027096,19350396,13839313,9492627,6225442,3897244,3897243,6225435,9492597,13839247,19350273,26026897,33847178,42891059,53355961,55442107,44592022,44592021,44623912,55473589,67815614,74621221,74621220,70513140,70513139,67815871,65361622,53358239,53358240,51045543,42891051,33847175,26026896,26026897,33847178,42891059,53355961,65358578,75672921,75672922,89436571,91011466,77115541,65360986,65360987,258321824,67814599,258950906,257713408,88047365,74435496,61652681,50167197,50166825,50166826,61652090,74435476,65361407,55472667,44623361,44623357,55472657,59809548,72544653,86142982,259169900,270979073,81100408,81100409,81100405,269922790,62726161,62726162,75672922,89436570,89601553,258951066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10886562, s2 = 11203920, dlinesl.size( ) = 2 s1 = 10886562, s2 = 11203920, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10886562, Dl.E( ) = 72, 2.31e-05 seconds used appending s1 = 14102965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14102965, s2 = 11528202, int(edited[s2]) = 0 s1 = 14102965, s2 = 11528202, d1 = 32, d2 = 29 Dl.O(d1) = 258542278,79282607,65919405,53852244,50199605,40175847,31490488,28101539,256818455,57792855,70493471 Dl.O(d2) = 160039752,262953945,190127052,197737142,204221346,209630960,214069675,217714228,220756489,265486113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14102965, s2 = 11528202, dlinesl.size( ) = 14 s1 = 14890859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14890859, s2 = 11002538, int(edited[s2]) = 0 s1 = 14890859, s2 = 11002538, d1 = 11, d2 = 7 Dl.O(d1) = 255550977,17340595,23657493,29172739,37733397,38546748,30647578,23225744,255524230,17176952,17176951,23454429,255970478,37790965,37790964,38546786,29977911,22611185,16427014,16427013,22611183,29977907,22611192,22611191,29977917,38546787,29977963,22611232,22611233,25528517,18918742,17027813,17027815,23286865,30702569,30363017,30363016,256332355,21505066,15497159,10717380,10717384,15497166,21505074,28764960,28763417,21503606,15495930,10717339,7080713,4457987,2678102,1551271,1551272,2678107,4457994,4457979,2678094,1551268,1551269,2678095,4457981,7080700,10717319,15497071,21504945,17463596,12311584,8315755,8315756,7272273,4586166,2759147,2759148,4586172,7272284,10986326,12313270,8317176,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299129,5335757,3279950,3279947,5335789,7461580,4715055,2840464,1647680,267790357,4715051,7461571,11241576,16174155,22311617,23698238,255721194,17373034,17373033,23695287,31184721,23694974,17732113,16164495,11231645,7453049,7453053,5873751,3667579,3667580,5873753,8996786,13197649,13440211,9189864,6015646,6015645,8558048,5554960,3439337,2035004,1988149,1988151,3377495,5486641,5545791,5545790,5545801,3431506,2029157,2029156,3431504,2047358,1173995,659037,656489,656490,1138247,1138246,1991882,1935439,254268865,2062038,1183484,664803,368761,368760,664794,660077,365847,200071,200072,365854,660106,1175950,1152112,1152114,1176651,2001458,3393561,2030285,1162662,1155340,648201,648203,657554,657557,1171489,2043594,3383159,3403791,3403792,3419879,3419881,3427543,3427544,5539717,5539716,8261287,5329898,5329900,8261289,8488270,5521645,3408295,3408296,5516428,5498926,5498925,5489414,3380106,1997416,1141578,640397,640398,1141581,1997427,3389930,3393193,1999751,1999752,2037849,1167573,1167572,254281083,254613171,12612467,10920692,10920694,15768368,21838002,29145830,23321620,17056357,17056356,21839742,23321723,17056492,15770146,11965861,11965862,17056956,23322144,29153444,23321712,255864929,255864931,21838690,15769182,15769183,17056330,15771739,15769986,15768892,10921272,10921270,15768891,15780860,21851742,29147947,21839928,15770278,15770277,17056592,11965413,8009560,5098786,5098785,4557387,4557386,7230901,254751549 Dl.O(d2) = 267886785,6874962,254327517,1487183,841477,474577,474579,838553,838551,843447,843448,1483048,1483047,849021,849023,1481892,838709,472776,472777,838713,1483103,845791,841135,474325,473263,473262,837020,471667,264985,146653,80587,44126,44125,25024,13991,7696,4103,2113,2115,4058,7616,13810,24666,44396,81108,147527,266460,474090,840777,1486287,2580179,4314353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14890859, s2 = 11002538, dlinesl.size( ) = 14 s1 = 14081879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14081879, s2 = 11659240, int(edited[s2]) = 0 s1 = 14081879, s2 = 11659240, d1 = 38, d2 = 23 Dl.O(d1) = 259325297,98982935,271636601,80287328,66857887,54599658,43856133,34585222,256395834,268167953,9744768,9744767,7413984,4684828,2822684,2822685,4020548,2409191,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041816,10041815,13010553,13010552,10042387,10042386,14594497,20335747,20334894,17262455,17262456,23573866,29217449,23293410,17034044,17034046,23293414,23138809,16878599,16878600,267765938,35398484,37778316,39307277,39307276,49234076,58787934,58787933,71517912,85090438,99015971,99015968,99015969,113004700,112647628,98651188,84721009,84721008,98651187,112647627,126512107,139877634,126512144,114161134,260620183 Dl.O(d2) = 38533395,29967501,22602496,16419300,16419299,22602494,22882435,16653685,16653684,22882432,30279999,255808390,268230123,11435301,7603290,4810115,2899002,1682037,1682035,2898998,4810104,7603280,11435288,16419284,22602481,29967480,28848156,22285251,22285252,23751801,17426022,12282335,12282336,17426024,23751805,255194647,8522185,254868413,255584369,24121646,17760106,17760105,23750346,29215943,22067124,22067125,29397539,31233693,39909840,37774860,29213088,21898982,21898981,29213085,23282358,255071550,16141335,16141336,22284760,19360431,13848029,9499795,9499793,13848036,17503609,17503608,23844704,21272371,15311291,10574650,6975121,6975122,10574651,15311292,21272373,28488481,256850007,36985297,30216688,22824318,22824317,30216686,28984418,28984416,21701596,15661123,15661122,21701595,24210925,255200085,12633687,16418215,11434212,11434182,11434185,16418169,16801309,19660198,21015036,15093536,15093537,21015038,28207839,34273897,29520340,22177867,16052149,16052151,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088406,12031307,16570425,14090203,10454696,10454697,8514153,5512637,5512638,8514158,11837215,11837214,11138975,11138974,10774977,7119330,4482489,4482491,7119336,254785886,21605094,16916222,16916223,17123720,13542497,13542498,18978683,25587495,22779512,16564175,16564176,22779513,17445751,17445750,15744834,10904470,7696194,7696195,10508783,10508784,15233796,16916381,11838928,7912028,5029737,5029736,7912025,11838923,16915268,23180213,30598949,39195678,49123286,60524422,73269439,77021662,63910401,52091841,41778585,37528656,37528655,47436391,58822962,71551013,85121809,99046711,85121810,85121811,99046714,113035206,113035204,113035205,126888260,140236272,152926288,164756468,175507846,175507844,164756466,152926287,140236270,126888255,113035202,113035203,126888257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14081879, s2 = 11659240, dlinesl.size( ) = 34 s1 = 14088579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088579, s2 = 12241108, int(edited[s2]) = 0 s1 = 14088579, s2 = 12241108, d1 = 56, d2 = 38 Dl.O(d1) = 84594185,84594184,87213270,87213269,77331164,64183868,52333673,41994464,41994463,48562342,48562334,48562335,59954562,65545580,65545581,72692757,59954556,59954557,59954547,258161857,48562326,59954548,48740897,48096114,48096115,58934122,59954656,64698503,72788431,72786798,60047966,58424358,47049539,37158988,256135302,34167032,26299103,19576170,16550107,267980683,7674274,7674295,7674298,11535480,16550149,11536012,7674620,4856139,2926414,1697542,965238,543899,543898,965234,254363325,7674547,11535878,16550769,22763922,30151615,38733424,269356111,60050619,48654260,48654259,60050615,50420503,40386029,40386028,50420494,60270085,48878000,38958830,38958832,48878003,60270088,50420500,50420501,256978116,60131456,60050624,48654265,48654266,48654268,40360750,31666167,31666166,30793464,23367404,23367405,24184175,24184173,20309174,14574703,10029019,10029018,14574700,20309170,255374569,15093050,21014418,28207133,36697883,46584453,57960960,57961085,49439747,44786955,35362815,27239667,20309167,20309168,27239669,35362818,44786959,50396093,50396092,46584589,256289323,21014448,21014446,28207185,36697942,36697943,46584539,57961066,55694137,44786947,35362812,35362813,36697948,36697947,46584544,46584591,46584592,57961119,270279912,95616338,81581852,68091815,55694151,44786964,44786965,55694154,68091817,71181548,258679599,84232570,259337846,109409882,98127671,84232630,70679521,70679519,70679520,61922536,269006793,39508598,39508599,49439754,58459571,71181575,71181567,58459565,58459564,58945283,58945281,58459557,47081572,37186349,28665314,28665313,37186346,37656355,47562408,58945288,258088392,31707521,24200101,268118709,8571776,8571775,12625863,17830901,256041729,40399348,49439898,39508731,30901044,30901045,39508732,42466306,39508982,30901316,30901315,39508981,40222274,40222275,50242377,61721191,60841774,49440046,39508906,39508907,47952948,53173281,62795234,62795233,74039902,61259949,49781036,39761991,39761992,33168379,33168378,42124792,40122751,31443437,23951859,17605987,12427465,12427464,17605984,17462891,12311028,8315370,8315369,12311026,17462871,23795061,31281072,39955909,40122452,40122451,40122741,257076507,40122752,40122754,50143808,50143793,50143794,61625590,74340303,61562853,50082628,50082630,40122726,40122727,41704469,41704468,52014921,46662961,41827616,41827618,52145700,63970009,52145772,256578558,58035656,46662971,257413295,70749873,77088784,63970059,63970060,77088786,74404175,257746620,76937428,269314660,58429921,268726636,61562861,74340311,75419742,75419743,84301522,70749905,61593750,61593751,74370190,77088739,77088738,268725884,63830066,58035664,58035663,255633734,32902946,25192117,18630980,18630979,25192114,32902941,41827676,52145773,63970065,268284620,63970052,61593749,50113831,50113807,40093379 Dl.O(d2) = 7641244,11488595,16489036,22689552,25536127,25536126,256516793,29223437,29223438,27013673,20121272,20121271,27013672,255357891,14921896,17466070,23798631,27983543,27983544,27983529,20819208,17466145,12313828,8317567,8317568,8996918,13197849,12313737,8317527,8317526,12313734,17466007,23798536,31284772,31284771,39959722,49976362,46295719,46295718,46880391,37001792,28504121,23798899,17466280,12313909,12313908,17466276,17466262,12313899,12313900,12313733,12313732,17466005,17466269,17466270,23798891,31285186,256143606,47936849,49976600,60606858,60606859,256143586,72062597,59328458,47936851,47936852,42571495,33554479,33554480,39742330,49761016,59315731,72050665,61240076,58741218,47353613,37447051,255097068,49761029,47936860,38023206,38023207,47922542,38042958,29479729,22142269,22142270,29479731,38042962,47956510,39959925,31285027,31064378,23580634,17268757,17268758,23580641,31064387,39742317,47936863,50555487,50220207,50220208,61701927,61240075,49761019,49761018,59315777,47922511,38007087,29444093,29444094,29461313,22126759,16012173,15998546,11106735,7366437,7366438,11106742,15331886,10589151,10589150,15331885,20828117,20828116,27992453,36450871,46303659,39727434,39727433,42656873,33628061,33628062,39727381,42656557,42656556,255574032,49746137,39726813,31047910,23563757,23563758,31047912,31590261,31590262,33627663,25825707,25825706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088579, s2 = 12241108, dlinesl.size( ) = 14 s1 = 10893048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10893048, s2 = 13534637, int(edited[s2]) = 0 s1 = 10893048, s2 = 13534637, d1 = 22, d2 = 3 Dl.O(d1) = 125630637,125630639,125630638,261781916,125630631,111816408,111816407,111816405,97884079,97884078,111816402,111816408,97884081,84015234,70481286,57781058,57781057,70481285,84015232,97884077,111816400,125630628,138968786 Dl.O(d2) = 70481285,84015232,97884075,109839071,123978848,127699446,113829887,99814642,85861199,72269440,72269441,85861200,99814644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055711, s2 = 9660121, int(edited[s2]) = 0 s1 = 14055711, s2 = 9660121, d1 = 3, d2 = 5 Dl.O(d1) = 34755031,255372360,14255641,254488066,4040050,4040051,5591541,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190256,11339801,16298048,20832095,20293813,20293814,18196249,16519796,14933535,10270118,10270119,10782771,10782770,14599633,10045887,10045890,14599637,17198444,12093786,12093787,17198448,13898722,9537847,9537846,13898720,13814823,13814820,19319815,16557024,16557025,22725306,20869067,14966850,14966851,20869070,20291390,20291391,19464591,19464590,22730061,20832277,14933809,10785430,7126156,4767031,2873578,2873581,4767035,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958877,10376634,6837449,6837450,10376638,10052445,6605402,6605403,254296526,10962794,7256616,4576638,2753542,2753543,4576641,7256623,10962804,14598963,10045418,6601321,254643250,254296754,27276958,20866859,20866860,15067272,10390846,6848376,4297221,254488147,10390842,15067265,20978936,255988925,23469229,30903621,39511653,39226804,39226805,39226203,39226204,30628478,30628477,39226387,39226362,30628840,256470331,257595603,54871862,44071420,34754676,26734703,26734704,34754677,44071422,36447786,27988882,27988883,36447789,46300918,54871837,44071402,44071401,257618848,44071400,44071399,52264365,41925910,256621212,64113168,77201272,91118575,94417312,94417313,91493088,258334306,64394140,257721884,102014233,112558049,100221476,86254641,72653369,59912771,59912772,70840172,59912758,59912757,72185522,72185523,85779819,72185575,71367537,58630886,258066369,58125584 Dl.O(d2) = 59947896,59947895,258161453,72686495,72686494,59947894,59947893,48555841,38641065,38641063,48555837,59947891,72686492,86254625,86254626,100221464,259394704,86254644,72653371,70840172,59912758,48519334,48519337,59912760,70944552,84440819,70883535,70883536,84440823,98350610,98870223,86284946,72686487,65120844,53135463,53135462,59342398,59342399,59504812,59504811,71427747,63884093,63884094,71079394,71079393,64568067,64568066,71991686,59255003,59255002,71012701,257020444,71012698,255548384,267994418,269390163,85578366,72185489,59447332,59447331,72185487,59947906,256971711,255929987,16487778,11487733,11487734,16487779,22687787,30066283,256971713,59342374,59342376,58630434,58630433,47997613,38085450,38085451,46859533,58227321,70944541,59597128,48209981,38300120,29732514,255582156,11274984,7484498,4729817,4729818,7484499,11274987,16219325,16219326,255907841,38300107,48209952,59597074,60552788,49153369,39226828,39226829,49153372,52066342,258379075,270459282,63871464,63871463,76982316,90860494,86379233,72783199,72783198,72783073,60044257,48647761,38726672,38726673,48647764,60044261,60044177,256977517,30145233,30145232,29313129,29313128,37882009,47805638,38726786,30145346,30145345,38726784,48647920,60044439,72783232,68050907,55654234,55654235,57847600,46491447,36625051,36625052,46491452,57847317,46491238,46491237,57847311,58335264,46967343,46967340,257175567,32831138,25126194,25126195,30145264,22758352,16546382,255492433,30145267,38726675,48647768,60044265,72783077,85663644,85663645,86379161,72783070,60044254,48647757,38726668,30145261,22758348,16546378,11532420,7672035,7672036,11532427,16546392,22758376,28151542,20973414,20973415,28151549,36624947,46491307,46491384,57847513,57847437,46491330,36624960,28151559,20973421,15062910,10387509,255371977,28151573,256824039,54603023,43860153,43860154,38084597,38084598,256650694,34600212,33860090,27197016,27197017,35320391,44746117,50526973,44746287,44746286,49040985,39111266,39111265,49040983,49040999,39111280,39111279,49040998,49041028,39111308,30514164,28372289,21155178,15199674,10483552,10483551,15199673,21155176,28372288,30512818,39109934,49039720,60443543,72832722,72832721,86427738,100383403,109395688,123587511,137318934,133915051,133915050,120071597,120071598,133915058,268549874,105859005,91651022,77723502,64541608,52642420,42256900,33277244,33277245,42256901,52642422,64541612,77723508,64541626,52642436,52642435,52642434,42256909,42256907,52642432,64541607,77723500,86000366,91651037,87829602,74224555,61444835,61444836,74224558,74224570,74224569,87829612,101803718,99152065,99152066,113142035,126999853,133101571,131699760,117872808,257928146,131699763,259629448,99407351,85466480,71881767,63907102,52087982,256723064,63907095,63907096,77018667,67641547,63907131,52088005,42256959,33277285,25516927,18907079,13475506,9216991,9216990,13475504,18907075,256132697,42256953,52087924,41774288,32853571,32853570,41774287,41774352,32853605,25146781,25146780,25516919,18907070,18907071,25516920,33277276,41774349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055711, s2 = 9660121, dlinesl.size( ) = 2 s1 = 14055711, s2 = 9660121, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14055711, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 14083405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083405, s2 = 11343644, int(edited[s2]) = 0 s1 = 14083405, s2 = 11343644, d1 = 12, d2 = 11 Dl.O(d1) = 84940797,71364227,71364226,272186045,38643553,30068317,22689391,16488912,16488911,22689385,30068309,38643539,48558748,59950899,72689343,62534732,50931167,40811896,40811897,38643582,30068336,22689395,22689397,256428573,48558753,48558771,50049452,50049454,41521281,41521280,51799200,63585109,76671733,257778068,77760758,65133335,257778070,42697709,33666890,33666889,38859737,30275092,30275093,38859652,30275062,30275063,38859674,48779924,51799145,41521234,32635220,32635219,41521230,51799140,62032244,50540576,40505218,40505217,50540575,62032240,65133322,63585125,63585124,65133330,65133329,61566889,61566890,62032292,257120278,48779893,256578064,42125911,52480689,64350762,58642754,47249903,37340149,37340150,38859661,38859662,48779908,47249926,47249927,48779952,48779951,60174413,72911298,72911296,269073622,52480829,52480726,42697732,33666904,25860592,25860590,33666898,42697724,47259498,48779938,53148327,42697713,34154313,34154314,30275112,30275111,38859770,38859694,36508198,36508199,46366438,57715850,70410004,60174447,48779992,38859722,38859721,48779988,60174350,60174334,48779870,47249915,47249916,52480685,52480686,64350760,61566877,52480860,256990111,30275080,30275081,38859710,48779965,42126033,42126034,42126039,33169891,33169892,42126044,42125937,33169815,25427440,25427439,33169809,42125929,52480712,43244393,34154322,26286271,26286272,34154327,43244404,53759737,48780054,38859763,38859762,47259495,47259494,52480761,52480760,60174442,48779981,48779980,52480669,48779885,38859643,30275052,30275051,38859640,48779878,44793044,38859618,30275044,30275045,38859623,48779849,48779956,38859704,38859705,42125920,33169802,33169803,25427472,18834002,18834003,25427478,33169896,42126053,52480835,269028408,84961156,71386507,58651336,58651335,63970459,63970460,53759731,53759732,64350771,62023347,50531350,48780058,48780060,60174536,64350835,52480768,42125960,42125959,52480765,52480660,42125888,33169788,30275107,30275105,35368381,27244461,27244460,35368376,37810830,37810832,33169871,25427467,18833999,18833998,25427463,33169860,42125998,33169907,33169904,25427482,25427483,25427444,25427445,33169824,42125943,52480733,64350799,74562504,61779128,52480744,48862219,48862220,53759705,53759704,65818127,64350811,52480747,52480749,52480844,256067824,33169845,25427455,18833996,18833997,25427457,33169778,42125868,42125885,33169787,33169786,38938481,38938480,38942592,30356385,22954679,16718074,16718073,22954676,30356376,38942573,48862169,42125990,42125991,48862177,42126008,33169865,33169864,33169902,42126067,52480853,52480728,52480730,60184071,50299834,40279525,40279523,50299831,50299749,50299750,44793049,44793050,55700687,68098247,269388770,39244067,39244066,49169148,49169127,39244054,30648390,23226582,23226583,30648393,39244059,49169136,42125878,42125876,38942580,38942578,48862208,60255010,50299774,40279481,31595219,24091765,24091766,31595222,40279485,50299782,60568057,72990339,257576710,61779117,50299820,40279519,40279518,50299819,40279527,31595247,31595248,40279529,49169143,39244065,39244064,38865714,38865713,48787600,49217388,39290720,30693371,23278403,23278405,30693377,39290730,49217402,60618158,60618177,71189443,71189430,62685525,51054896,51054895,41828241,41828240,37221157,28695740,28695741,37221163,47089379,47089381,37221171,37221170,29212128,21897996,21897998,29212131,37774068,47695445,47089405,47089406,52351503,52351502,58467463,71189441,71189424,58467434,47089301,37193405,28671372,21424184,21424182,21424172,21424129,21424128,21424202,21424201,28671402,37193443,47089338,58467381,47089242,37193345,28671323,28671324,28334752,28334753,36831202,28671470,28671471,37193516,47089431,58467522,55746626,47118701,47089267,37193373,28671345,21424167,21424168,28671348,25192643,25192641,32903553,25208282,25208283,32135099,32135100,32922770,41851918,52175997,43038538,43038537,47089436,37193519,28671473,21424263,15432559,15432560,21424188,28671377,28671448,37193492,47089384,37193831,37193830,35215991,33981236,28671327,21424158,21424160,28671329,32311748,26141561,26141560,33981135,43038509,53516778,52176067,43038589,43038588,43038622,38953377,30747294,30747295,25208234,25208235,32922781,37193364,28671340,21424164,21424162,28671335,28671387,37193431,47089321,58467450,53516814,43038564,33981198,26141654,21424252,15432553,10668843,10668844,15432556,21424257,28671461,28671425,21444404,21444403,21424410,21424304,15432585,15432586,15432720,15432721,21424516,21424537,21424536,256325355,47089669,58467641,47695428,47695429,58467479,47089363,37193468,28671428,26141635,21424376,21424377,268395628,255063034,10521571,13914347,9549853,9549851,13914313,13914314,19444638,26141592,33981182,37193553,28671509,28671510,28671905,21424587,15432762,15432595,15432596,15448231,15448230,21444306,21897987,21897989,29212117,37415557,37415555,47089387,47089386,47089537,37193900,33981158,33981156,37221223,28695806,28695807,33067977,28695842,21444423,15448292,15448291,21444420,256327245,33981227,33981221,26141615,19444653,15432569,15432568,21424282,21424375,19444684,19444683,21424293,15432577,10668858,7046337,4434728,2662607,1541172,1541174,2662611,4434734,7046350,10668889,7046379,4434747,2662619,2662620,4434750,7046385,10668966,15432767,21424595,21444396,21444398,28671725,22965516,22965511,30367083,28671787,28671788,37193824,47089589,37193789,28671760,21424477,17416910,12275717,8290188,8290187,10963069,10963068,15819358,21424357,28671584,37193630,37193924,35310676,27190890,20266647,14541027,14541029,20266651,23044865,26405762,19671364,19671365,26405764,19845105,14217573,9774331,6426737,6426736,9774328,8290175,8290176,12275689,17416855,23741306,31224581,37193869,28729675,28729673,34650688,39901251,47089617,37193807,28671779,28671778,37193805,37221273,47118812,47089450,39900761,31224103,31224101,27190900,20266662,14541034,14541033,20266661,23740872,28671639,28671640,34650593,34650594,43923833,43923777,34650523,34650522,43923774,54666350,43923917,34650694,26659332,26659333,34650696,39491586,43923915,43923913,54666436,54666424,43923885,43923886,47118814,47118815,39900846,39900847,49920477,47695458,44730148,37774074,31224558,31224557,34280300,257268881,37208046,28684182,23740868,23740867,23453484,17176197,12076816,12076818,17176202,23453496,17416830,17416829,17416467,17416468,17416600,23740940,31224168,34280309,39491578,39900862,31224132,23740910,23740909,31224128,30772136,23348849,23348848,26406526,34280710,26405974,26405975,26405963,26405962,34280700,35310715,27190922,27190923,26405530,19671181,19671182,26405536,30885300,26405502,19671153,14101269,14101268,12275455,12275456,17176266,17176264,23453523,17176223,12076831,8120982,5202745,3286761,3286760,5348091,8290050,5348050,5348051,8290056,12275441,17416478,18510521,18510522,23741209,23741208,30885419,23740918,23740916,19672097,14101969,14101971,14100907,9698692,9698691,9699370,6379231,6379232,9699377,14101992,17176106,14102028,14102027,19672159,23453343,30885231,26406356,19671951,17416573,14101263,9698885,6378971,4002182,4002183,6378975,9698892,14101278,19671163,23453367,26405463,19671110,14101239,14101240,9698906,6378981,6378978,9698898,14101285,19669919,14100322,14100321,12076906,8121021,5202766,5202767,8121027,12076912,9699385,9699231,9699230,8120962,8120963,8120931,8120933,12076727,17176067,12275623,8290144,6378891,4002139,2398318,1387816,1387815,2398311,4002133,6378877,6379287,9699461,9699437,8121007,8121005,12076871,9699206,9699203,14101484,14101438,9699008,9699007,9699149,14101626,9699312,9699310,14101874,14101896,255308115,14101688,9699189,6379147,6378846,6378851,9698682,14100582,9698470,9698471,14100583,14100665,9698515,6378747,6378748,9698516,9698817,6378929,4002158,4002157,4002146,254463857,9698756,14101000,19670798,26405128,34279977,34279540,30879283,24091392,24091390,21063208,21063207,22860556,22860555,26404318,26404319,31227826,23744106,21678417,15639224,15639223,21678406,17419317,12277393,12277394,17419326,17419177,17419175,17419264,17418970,17418969,14102148,9699495,6379306,4002359,4002361,6379316,9699523,14102192,12277383,12277382,17419296,23744423,17773578,12578417,12578418,17773583,24091160,17733605,12547002,8506258,8506255,12546995,17438071,12291761,8301414,8301415,12291764,17352714,23671914,28645293,21403752,15416554,10656808,7037273,7037275,10656814,15416561,21403764,26404791,23744022,17419016,12277222,8291336,5349045,3287487,3287486,5349041,8291327,12277213,17419003,14102159,9699501,9699502,14102165,19672299,16634184,16634185,17461765,12310210,12310211,17461773,17418933,17418932,23743886,31227557,31594564,24091137,17733592,17733594,24091144,23766000,23766001,28666755,28666752,31227611,39904434,38383196,29810989,22444082,16275327,11317133,11317132,16275324,22444075,29810977,38383180,47227044,39904394,31227582,23743910,17418943,12277182,8291313,8291316,12277188,17418949,23743921,23743995,31227673,39904502,31594536,31594537,26406709,26406710,34281465,31227585,31227586,34281444,34281445,28359803,21144619,21144618,28359797,36857755,46739438,58109599,58372821,47002726,47002725,39904864,31228082,23744309,23744308,28624147,21386503,15402969,10646303,10646304,15402970,21386505,28624154,37136975,38839216,38839217,47215736,53516878,43038647,39904673,31227864,31227862,39904669,47561363,37655440,37655439,29259087,21938190,21938189,29259081,33981308,34280842,28359879,21144731,21144732,28359962,36857946,46739556,47002567,256057706,28607092,37116733,47002570,47560258,48757931,46995923,46995911,37110631,28601761,21368425,21368423,28601754,28624196,28607190,28607191,28601793,28563838,28563839,21372660,21372662,28607104,37116752,41231503,256861330,64212562,64212563,58375340,47005202,46289212,36436209,27977481,27977482,36436211,46289216,39745423,39745422,31067303,23583032,23583031,29105136,28607087,21372651,20104344,14414582,10637291,7022123,4416275,4416278,7022139,10637324,15391972,21372760,28359956,30786815,30786814,29643399,28607050,25107332,25107333,32809765,41660768,41660767,33636135,25833157,25833156,33636132,28242885,21043883,15115644,10426247,6874143,4315232,254221265,848846,848847,254221607,843107,475645,475646,267633,267620,2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Dl.O(d2) = 273134183,263593132,264538270,273226538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083405, s2 = 11343644, dlinesl.size( ) = 8 s1 = 10894670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10894670, s2 = 11012716, int(edited[s2]) = 0 s1 = 10894670, s2 = 11012716, d1 = 15, d2 = 11 Dl.O(d1) = 44450173,35075360,26991109,26991111,35075366,44450181,55294582,47225397,47225399,258689725,81203532,67738993,67738992,67738994,67738995,72418174,67738917,55399928,44553364,256227003,20189852,14486276,9967300,6550738,6550742,9967307,14486289,20189879,27087880,35175922,38671043,48587197,44553345,44553344,55399907,269513849,42366651,257804807,77871175,67738903,55399915,55399916,48587098,38670963,30093778,30093777,38670959,48587092,269824221,257917615,55399972,55399958,256752427,27087875,20189863,14486281,14486280,20189861,27087872,35175913,30093840,22712214,22712212,28645914,37162203,33381372,25615590,19001777,19001776,25615584,33381362,42370453,50407690,40372809,40372807,38670968,30093780,22712182,16508117,16508118,16508131,22712177,16508114,16508116,22712178,28648306,28648307,30093804,38670999,48587129,257124588,44553392,48587067,38670939,255931759,22712165,30093756,30093809,38671005,48587139,59978721,59978678,48587083,38670954,38670953,47052971,48587058,268682426,30093845,22712217,16508134,11503713,7652032,4841538,4841537,7652029,11503707,16508126,22712197,30093807,38671004,47055784,37164931,256863577,30093745,22712157,22712158,30093740,22712149,16508100,11503695,11503696,16508104,22712154,256023948,25612543,25612542,33377685,38670993,30093795,22712190,22712191,30093798,33385736,42374720,48587149,48587151,52766258,61514930,50035947,49212911,42366633,38670985,30093789,30093791,22712201,22712202,30093820,30696135,30696132,39293634,31337776,23845483,17504145,12342582,8338535,8338534,12342579,17504140,23845474,25612548,18999437,18999438,25612596,33377750,30093733,30093732,38670917,48500951,59894868,52773609,49220238,39293664,30696162,23280798,23280799,30696166,30696156,30093803,30093802,38670997,48587124,49892028,39869925,39869926,49892033,60613399,49212914,39286361,39286362,40016606,38670982,256430663,30093813,38671006,42366646,33377721,268442712,18999376,13558946,9282978,9282977,13558943,17504134,18999401,18999388,13558976,13558975,18999428,18999448,18999449,25612606,33377765,42366671,48587188,50144187,40123106,40123104,33377716,33377714,30696154,23280789,17021886,11937271,7989066,7989067,11937277,17021900,23280815,30696190,31187407,30689027,23272634,17010498,17010496,23272633,19005310,13563857,13563858,17878639,17878640,17239669,13741686,9414901 Dl.O(d2) = 2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805929,4009688,3805813,3805810,5205247,5205248,5212462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10894670, s2 = 11012716, dlinesl.size( ) = 16 s1 = 14104339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104339, s2 = 11213704, int(edited[s2]) = 0 s1 = 14104339, s2 = 11213704, d1 = 21, d2 = 24 Dl.O(d1) = 258398923,18809806,13400142,256123765,257194201,64296689,77452778,91377559,105602207,119843441,119843438,105602206,105602207,119843440,133722395,261970629,119843430,119843429,133722384,146985309,159368906,159368917,159368918,170719778,170719756,273234847,262930079,146985301,133722376,119843424,119843425,133722378,146985305,261970631,119843436,119843437,119843432,105602198,91377556,77452774,77452773,91377554,260270299,260270297,105602202,91377557,77452775,259026005,105602200,260866235,146985316,272984963,159368921,146985321,146985282,133722360,133722359,146985280,159368881,146985319,261434709,260866231,146985296,146985293,133722368,119843418,119843417,133722366,146985290,159368892,159368902,146985299,133722375,119843423,119843422,261434713,262469857,261970631,119843436,119843437,119843432,105602198,91377556,77452774,77452773,91377554,260270299,260270297,119843434,261434711,119843421,119843420,133722371,133722380,146985287,146985288,262469853,261434705,119843415,119843413,119843414,133722359,146985280,262469851,146985308,146985309,159368906,159368917,159368918,170719778,170719756,273234847,262930079,159368901,146985299,133722375,119843423,119843422,261434713,262469857 Dl.O(d2) = 203954571,264628203,264628201,264357061,264357059,209400615,203954566,263718237,180861747,170719775,159368910,146985313,146985312,159368909,170719773,180861744,189757186,264055635,209400614,213869834,264954414,209054796,263846446,196879767,203505996,264616997,217338092,217539292,217539291,265092699,203954562,263718235,170719775,159368910,146985313,146985312,159368909,273234851,180861752,263718239,264055637,197425857,203954565,209054798,203954561,264357057,209400613,209400614,213869834,264954414,209054796,263846446,189136643,180196009,262157728,259905022,90876285,271765278,119248120,129776707,261287805,263238361,262435141,262226946,90487072,258362905,257748997,41497246,256094531,23822006,17485695,254849143,5375323,3305372,1944584,1110947,1110948,1944582,1110946,1110945,1944580,3305366,5375308,8328561,12328754,17485604,256014175,39987285,255793864,37434468,37434469,33010000,25284947,18711977,13318692,13318695,18711985,21465492,15464613,254501606,12431859,254597751,5421852,8402085,12431862,17567480,12395978,8385162,8385161,10710477,7075783,4454678,3326961,3326960,3787917,3787916,6053270,9242488,10950152,7246790,4569174,2748179,1592804,905513,905510,1592792,2748150,4569112,7246669,10949968,15802840,16178146,15840413,10976956,7265492,7265494,6534512,4094312,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334136,3334137,5423636,8405061,255182403,255371714,255371712,23725917,17402020,12263688,8281884,5343189,3283970,3283071,1930850,1930852,1103168,1103170,1931008,3281451,3281453,5338326,8273315,12250012,256005061,21215695,15247518,15247516,21215690,28441224,36940677,257116153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14104339, s2 = 11213704, dlinesl.size( ) = 26 s1 = 10895522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10895522, s2 = 12254240, int(edited[s2]) = 0 s1 = 10895522, s2 = 12254240, d1 = 17, d2 = 8 Dl.O(d1) = 52387688,51181958,41025419,32233037,32233038,39094740,41025418,36713196,28220511,28220512,36713200,46601408,57978488,257068451,31339339,31339338,40018516,257651201,74294507,87898056,87898076,74294525,74294524,258288280,258282250,62506425,50905903,50905904,61516863,60497558,60497559,52387693,42043600,42043599,50037964,50037963,44795403,256575662,68100721,62832058,256547464,61516847,74294490,61516868,61516867,257095740,62832061,61516824,50037958,50037957,61516852,61516839,61516840,73119615,60379673,60379674,64243544,64243545,74294502,74294503,86857426,75635287,74639119,73619414,60868799,60868798,52387683,52387684,49093967,39164010,39164011,49093970,60497502,61516821,61516822,60497536,49094001,39164032,30566353,23149020,18943904,14404197,9907311,9907312,14404198,20090763,26979294,35062583,44436605,55280746,67618660,81084338,76012938,63030184,257144297,32349389,32349390,41164288,39491733,39491734,49421442,60821528,73568557,87187133,258481020,67618631,55280727,256743411,26979291,26979292,35062579,44436598,55280733,67618642,73568555,73568554,87187128,270072236,81084326,95141822,95339009,259022818,123782635,260862494,162263208,150094914,137017547,137017545,123249663,123249662,137017550,137319116,261065196,173529840,162492755,162492754,162492753,150359957,150359958,150094910,137017543,137017544,260486116,137017548,123249664,271159655,80666150,258013818,109024445,94744202,94744203,81084334,67618652,55280743,44436603,269191595,67618655,81084337,270277294,109024450,109024453,258638454,94744214,80666156,67191514,54872073,44071607,255798222,67191511,80666149,80666158,257403438,81084330,67618648,268602562,44071604,271159653,268680166,94744213,94744212,109024442,97763404,97763405,95141832,81084335,256824174,54872069,44071605,34754817,26734839,26734840,255372032,54872075,67191517,80666160,257067910,57690202,57690201,268440594,97763407,83907185,70382735,57690211,57690212,57690207,46342382,46342383,57690210,67191509,67191510,54872079,255372034,26734842,19899815,254714986,34754822,44071610,256286080,80666162,257650598,257067914,40133781,50156107,57690214,46342385,36485617,28023532,28023531,254850098,255564340,74421250,61639663,50156116,40133788,31453158,23959676,255009892,12431194,255572207,31453156,40133785,257403440,257403442,74421245,256286078,255798224,67191521,70382736,268440596,50156114,61639661,74421247,84087677,257067912,50156108,50156109,54872066,44071603,256286074,61639659,50156113,50156112,61639657,257403432,84087678,70550742,57848761,46492735,46492736,57848763,70550743,84087681,87887734,74285489,61509029,61509028,74285488,61639653,61639654,74421243,88031686,102014728,111899139,97961580,84087641,70550707,70550706,84087639,97961578,111899138,125716650,272516405,258013812,88031683,102014725,116069922,259884138,143307488,129976403,116069925,116069926,129976406,142563013,129189054,115260394,101184452,87187147,87187146,73568576,257863526,39491780,39491779,49421474,60821546,73568572,87187145,101184450,271842339,261617760,260486112,129976400,143307483,155852767,261617762,142562994,142562993,129189050,115260388,101184448,101184447,260685561,142563006,155204639,155204631,142562997,142562996,142563002,142563003,155204637,166894570,177437634,263219626,173018484,161853959,155204632,142562998,129189045,129189046,142563001,155204636,166894567,166894565,177437627,177437626,186748839,263070124,177437629,186748841,194857911,186748836,273283048,166894558,177437624,182915486,173018487,173018486,182915484,263607028,182915488,182915489,186748844,186748845,194857917,201798448,207640875,201798444,201798445,264549193,274262490,216396735,212457896,207640868,201798440,194857909,194857908,198986994,198986995,205267590,210465460,214712165,264911134,264549189,207640872,201798442,201798443,207640874,205267578,205267577,210465448,210465454,212457902,207640877,207640876,274007538,205267587,210465458,214712168,218206192,216396737,212457897,212457898,210465450,210465444,205267586,263607026,191558680,198986988,205267576,210465447,214712156,265127477,221140662,221140661,223652614,221140658,221140659,222421468,265421169,223652608,223652607,223652618,223652617,221325137,265028144,218206177,264928999,210751643,210751645,214958112,218206166,214712149,214712150,265127475,218418285,274287258,218206174,214712148,210465442,205601720,199375863,192017190,183462774,173676773,262741304,123782584,109593144,109593143,109593158,123782602,137506077,137506078,137506071,260411479,95338962,95338961,109593145,123782572,109593137,109593138,123782574,261002593,123782589,137506073,150535921,272096021,260411475,95338964,81280739,67813493,55471826,55471825,258543011,95338956,109593139,123782577,137506064,150535913,137506050,137506052,272549946,123782556,123782557,137506047,137506043,137506042,137506066,150535926,162655211,163447309,163447310,260571440,173676765,259971372,162655207,162655208,271327076,183957975,183462763,173676763,259971370,150535914,151564281,163447318,174295401,270832484,137506048,125528047,125528048,138861355,151564276,163447313,151564286,138861363,138861362,151564283,163447320,174295404,174295400,173676767,163447307,151564271,138861349,125528043,125528044,138861351,151564273,258104284,111720606,111720607,125528060,138861364,151564287,163447322,174295402,259971368,138861358,125528050,111720594,97797807,97797806,111720592,125528046,258728032,111720611,97797822,97797823,111720609,125528064,138861366,151564268,138861344,125528041,111720588,111720589,97797805,83938796,70412699,70412700,255439980,46369039,46369040,57718596,255876232,97797825,257494230,97797811,83938802,83938800,83938801,97797809,85505157,269802084,47782437,256914020,71919866,70412698,70412697,83938793,97797800,111720587,258104276,140653696,127307620,127307600,127307601,140653683,140653733,140653722,127307650,113448747,99446649,99446648,113448744,127307598,127307599,140653682,140653732,127307656,127307655,140653730,153333179,165144441,165144440,175865850,185368112,273116460,200761161,200761160,273541416,200761158,200761157,200761156,206754787,273860558,211705922,211705923,215752572,219099288,221925170,273987234,219099378,221925272,264980762,265381984,229901365,231330651,265858206,232612201,231330718,231330719,265990366 Dl.O(d2) = 199375514,192016689,192016688,199375507,192016676,183462212,173676333,263037083,173676335,162654888,273060447,183462215,183462796,183462795,183462220,173676338,162654890,162654884,150535700,137505907,272464969,137506096,123782609,109593164,109593163,123782606,261565109,137506101,137505908,261204616,95338913,109593080,272464971,137505918,271662747,109593081,123782471,137505916,137506099,123782611,123782610,261565113,123782475,109593084,272096015,109593083,95338917,81280713,81280714,95338914,95338919,95338973,81280747,81280749,81280716,67813472,55471804,44622425,44622424,257922595,67813460,67813459,81280700,95338910,109593075,123782461,137505904,123782456,123782455,261002598,123782459,109593074,95338907,81280693,271349346,257922599,44622448,35239732,35239731,27143381,27143380,27143364,27143363,35239707,257323351,67813461,81280703,67813506,55471838,256757225,27143383,20234933,20234920,14520110,9991104,9991105,14520106,9991103,6566469,6566468,254983039,20234914,255338267,9991114,6566474,6566475,9991117,14520130,20234947,255414252,39922303,31646978,24140724,17776453,12580841,12580840,17776452,23762403,17434882,254416030,17789837,12591481,8542895,5540633,3425937,2024321,1158527,650003,650005,1158529,2024326,3425949,5540658,8542948,12591578,255358513,13917124,13917125,19448022,26145376,33985271,29248019,21927759,21927758,256367927,47734882,59133469,59133476,268945289,38301542,47734924,37812738,29248052,21927777,268079811,7266059,7266060,10977742,15841348,21927770,29248040,37812725,47734916,59133494,71871611,63829929,52014683,41704168,41704169,52014685,59133414,53521373,43042850,33985307,26145412,19448044,19448045,26145413,33985309,43042853,53521375,52014866,52014867,63830036,76937401,76937422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10895522, s2 = 12254240, dlinesl.size( ) = 2 s1 = 10895522, s2 = 12254240, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10895522, Dl.E( ) = 18, 1.29e-05 seconds used appending s1 = 10895662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070363, s2 = 11504252, int(edited[s2]) = 0 s1 = 14070363, s2 = 11504252, d1 = 18, d2 = 17 Dl.O(d1) = 256669650,255686496,20104945,17870549,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,256039226,28794699,37332133,32838203,32838204,41758741,42282390,42282391,41758244,40499430,31804283,24289676,24289675,31804279,34617973,26628405,26628406,34617976,33998586,33998587,42282547,42282546,47406664,47406663,43889547,34617914,34617915,39406932,42044653,33096554,255659161,13379837,9145378,9145377,13379834,18785361,268488951,13589451,255273827,25656135,33424250,41758614,41758613,42560916,42477260,34003474,26161849,21992803,15894914,15894915,21992809,29317977,29317973,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,20980608,15634198,15634197,15171008,10463195,10463194,15171001,21117508,28327601,29321490,25769581,25769583,25769617,25769616,33558973,42575738,36824589,255681194,46395705,255277112,21990006,21302797,21302798,254934300,33487037,25712277,19460299,19460295,19460491,19161535,19161537,25809404,24058659,17703727,17703728,19438180,14047560,9659248,9659246,14047548,19604879,15893990,13927416,13927419,11018280,11018278,15547684,13744362,13744363,19237662,25898090,33700761,25894724,19234945,19234946,19459155,13925934,13925933,17905045,12684469,8615854,5600588,5600587,8615850,256048689,40494955,256899586,257479539 Dl.O(d2) = 258861552,46675673,46832016,44609777,35228877,35228876,42726107,33696391,25973558,25973557,20228357,14515574,9988173,6564712,4112602,2460045,1422145,809112,458586,458585,809108,1422136,2460026,4112565,6564651,254982833,19599145,256704503,52921657,257682230,32291607,24681565,18215681,12919994,12919992,12920012,18215711,24681600,24556458,24556457,31315727,23826395,17488967,17488966,17908610,17908608,12847923,12847924,10670312,10670313,15434609,18118388,12847505,8736651,8736652,5687904,3538353,2106259,2106260,3538358,5687924,8736930,12847968,8737211,8737212,12848478,18119962,20287652,20886428,14983207,14983208,12848460,8737196,5688065,5688064,8737192,12848455,18119928,18117486,18117485,24554744,18674277,18674275,25244391,24557046,24557047,25245715,32467286,255523874,23826542,23223955,16950700,11863303,11863304,16950702,23223962,18119285,12848074,8736967,254888301,18119276,24557150,32138849,28782820,256333567,47227739,256839612,47533997,50218801,59956260,72694236,71414133,269306372,58915142,71635816,62686331,51055815,40913951,38156713,29590595,22242319,22242318,29590593,38156707,40196869,32140344,32140343,30438862,24069390,17713412,17713413,24069399,31574926,40262006,44615172,40196615,31510672,31510671,40196613,50218860,255018576,39058656,38649145,38649146,48564407,44524528,255382946,29635185,28367119,21150637,15196475,15196476,21150641,28367123,36865100,46745899,52244647,55395814,67735081,58149276,48722820,256300894,22825201,22825204,30217638,38654842,32969118,28422991,21200041,15655166,11870573,11870574,15236677,15236680,21202083,18125889,12852817,8740277,5690102,3539763,3539762,5690095,8740258,12852782,10510841,6931161,6931162,10510844,15236593,16811688,23032358,23059060,16811638,11756020,7849329,4982551,4982548,7849323,255513397,14166725,9739418,6404418,6404419,9739425,13438166,13438167,18861126,15455453,10686186,10686187,8383927,5410296,3325883,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,752482,1319001,752428,752429,752515,752159,427260,241173,254093927,752136,1318359,2273436,3795476,6066231,254928051,13533291,255269079,273450123,204038657,265479325,217454340,264621119,203794054,273832534,255250009,13306469,13911356,19440928,26136809,29499421,38062217,256888218,26378340,22836181,16614850,255088808,28173346,254530850,29696954,22343329,255905245,38262729,48172204,40452755,38285570,29718958,29718957,31757370,24245576,24245574,254917622,18090020,18090019,13288900,9071789,5932296,5932295,254910547,18681701,18878892,25481167,33229901,258555324,37427944,47336231,44804108,35379441,35379440,257332699,68107767,81596920,95630184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070363, s2 = 11504252, dlinesl.size( ) = 8 s1 = 10896674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10897689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10899223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10899301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14013785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15193563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15193563, s2 = 11035482, int(edited[s2]) = 0 s1 = 15193563, s2 = 11035482, d1 = 1, d2 = 15 Dl.O(d1) = 10929775,7230680 Dl.O(d2) = 29148129,29148128,21842180,254513244,37710715,37703795,29146056,21838245,21838244,254121922,10928999,10928996,15777146,21847675,254750412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15193563, s2 = 11035482, dlinesl.size( ) = 20 s1 = 10900615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14032969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10901473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10901488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11691448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111117, s2 = 14848173, int(edited[s2]) = 0 s1 = 14111117, s2 = 14848173, d1 = 2, d2 = 0 Dl.O(d1) = 272842029,177091048 Dl.O(d2) = 260088302,258847386,254830044,30608256,27973936,20810363,14914656,10255397,6738805,4222542,4222543,254146046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111117, s2 = 14848173, dlinesl.size( ) = 2 s1 = 14111117, s2 = 14848173, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14111117, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10902463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10902463, s2 = 6604247, int(edited[s2]) = 0 s1 = 10902463, s2 = 6604247, d1 = 39, d2 = 16 Dl.O(d1) = 274133353,265273828,208663907,208663908,264849241,208663911,213295667,273910269,264024029,208663893,213295668,264603425,196300885,263305489,157688554,157688553,169132164,169132169 Dl.O(d2) = 261383483,260217795,104058274,118217802,262422715,100541057,86580333,72983393,260048535,128454619,272577147,166188294,263191579,194392589,201409987,274000479,201409988,273875609,274107727,274000477,274101460,272877299,261224353,259431675,86580331,100541057,86580333,72983393,60248030,48855411,256452085,255507889,2974275,2974277,4930716,7779868,11670523,268418299,46321685,256271021,14944768,255359367,17092311,20887942,14984855,13317664,9098177,5952677,3722669,3722670,5952679,4260035,2546758,2546759,254481791,2535863,254322265,2535877,4241333,4232151,4232150,5921359,9057024,8329553,5375903,3496802,3496800,4269677,2552742,1470491,1470488,2552735,2696534,3287686,4488452,6759261,10283712,14949509,14930636,10267405,6746933,6746934,10267409,9059369,5923225,3703785,3703768,3703763,5923194,4228003,4228002,6746372,6746371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10902463, s2 = 6604247, dlinesl.size( ) = 20 s1 = 10902810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10902829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10902923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10903294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10903294, s2 = 10135895, int(edited[s2]) = 0 s1 = 10903294, s2 = 10135895, d1 = 51, d2 = 43 Dl.O(d1) = 811320,811321,1426263,2467387,4124373,6582795,10015631,12490403,10607046,6998585,6998584,6582681,6582679,7878617,7878618,8196607,254357860,1887956,254164098,3221087,1887703,1077053,1077052,1077115,604988,604987,1077138,914892,914887,518376,290733,160892,160893,290741,518395,919218,1616127,1617439,920041,518809,290948,160998,160996,290939,334105,599637,609306,1084931,1609301,915931,915928,1609849,1072857,602789,602786,338584,338586,602778,1072842,1880543,1073379,603074,335827,184630,184629,335823,603069,1073367,1083565,1083566,1898376,1889732,1889731,1881479,1881480,1900551,1084858,1084860,1900557,3239392,2778579,1611924,1611927,2778546,2778510,1615312,918682,918683,1615315,2777597,4612872,3210588,1880399,1072764,602737,335663,335664,602743,602268,335414,184426,100998,100999,55698,254075229,254104519,1072475,254240056,5252470,5252471,5253665,3210384,1880290,1072694,602706,602708,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,1879841,1879840,1072489,602607,602610,1072501,1879909,2782881,4621442,2783676,2783674,4622747,4623083,2783902,1614769,1614771,1880440,1880437,2783417,4622307,5251946,7321331,7326250,7824917,7824920,5249968,3207491,1878419,1071644,602168,335352,184397,184396,335347,602153,1071612,1878363,3207373,5249799,8180164,11039350,7313728,4616670,2780014,2780012,4616665,7313722,8181212,5250793,5250794,8173910,12144208,11042949,7317544,254760571,5253224,3210086,1880116,1072607,1072608,1880119,3210092,5253238,8149491,5221089,5221084,8149472,5263912,3219027,1886228,1886227,1886241,1886239,3219046,5263947,7317130,8258709,8258708,12119022,12137860,12137861,12150502,12150501,12118018,12118017,12120668,12188301,17235989,12118025,8149123,7137734,7137733,8152399,12120684,17237635,12230800,8258399,8258398,12230799,12137569,8167511,8167510,12137567,12484195,8456812,8456813,7490660,7490659,11283595,12162246,8192795,8192793,5303888,3254668,254182993,340891,340890,612951,1088052,610889,254133599,267797463,1069986,601294,254088731,184190,334914,186486,101918,101916,186477,102294,102295,187287,341320,601432,339645,186451,101973,56115,56117,56272,102319,187342,341446,614149,1093959,1900572,1915900,1609959,915963,915961,1609951,2775378,3242994,2774031,1609071,915487,516587,516584,915478,1609059,2774010,3223515,1895763,1895760,2772818,2772819,1897296,1082952,1082951,1877067,3203244,3199763,3199761,5240752,7303143,8171593,8170799,8170800,5302748,254755281,4580902,2756030,1597647,908217,908220,1597658,2756047,4580939,7263972,10974635,15837049,16828724,15836207,10974115,7263688,7263685,7262663,7262664,9181549,9181548,9181538,9181540,7373613 Dl.O(d2) = 17655629,23999846,31497292,31096717,23612966,23612967,23643331,17326727,15323931,10583979,6982036,4386967,2627998,2627999,4386970,4963409,7821314,11716687,12485501,12201372,8232578,5304596,5304597,5462334,4736691,4736690,7493406,11286590,16234576,11719058,11719056,8219554,5289581,5289580,3244237,1904053,1904052,3244235,5292941,5464334,8456819,7402340,7402339,4962895,4962893,7254515,254187476,1902657,1873710,1873711,3200375,3241565,5241510,4606999,2772972,1909792,1909795,1552657,1552659,2680418,3268394,1921767,1921766,3238133,1899706,1899707,1911368,1091550,1091551,616157,616156,1097685,1921514,3228597,1893239,1081539,1081538,1895012,3216480,3249132,3239828,1900850,1900849,3234127,5276211,5241442,5241440,7305183,4627556,2787390,2787391,2852218,1655054,941679,941681,1655062,2852229,3237778,1922392,1098225,616467,616469,1098231,1922402,3219290,3269399,2626228,2626229,3265207,4608313,4608311,5318214,5318216,5318224,8230872,8230873,7303904,4608405,2774257,2774258,3232509,1895932,1082131,607768,338214,338219,607783,254133239,1896292,3232970,5279319,268107613,255998061,39771532,258240813,78366553,84284493,70732825,58018131,58018132,65317291,59164408,47765504,37842816,29276045,29276044,28263717,21061350,15128365,15128366,21061352,20229290,20229291,27135800,30669041,256837548,3281108,3068908,3068909,5042357,254252251,1014111,1014110,1778700,3053033,3076345,1794924,1024053,577037,322863,178435,178437,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,1016367,1782206,1782205,3054665,3052660,3052661,5041886,5047473,5047474,4944195,3057673,3057674,5047498,5072615,3078868,3078867,254564309,11676684,16718232,11676409,11676414,11678374,7786874,7786871,11678366,7787403,7787402,11678312,11678313,16720054,11690105,11690106,16732746,22698485,16720280,11678591,7787055,7787056,11678593,7939052,5048995,5048994,7939051,7783975,7783978,11675081,16716839,22951488,254801776,11674588,11678899,7787406,4937155,2979089,1729273,1729274,2979093,4937164,4932144,2975342,1726776,1726777,2975343,2979084,1729272,1729271,1074235,1074236,1882920,3214221,4931357,2974697,1726366,981486,981487,1726373,2974713,2975588,2975586,1727438,982014,254171713,2976397,254552473,2979389,4933144,254369057,1727619,982104,982106,1727624,2976688,1729778,983345,983346,1728951,982853,982852,982678,553241,309603,309602,553238,982674,1728649,2978182,4935884,3296580,254368979,2974858,4931531,2982360,1731240,984179,554049,310023,171468,171467,310022,554048,984177,1731237,1731248,984183,554051,554052,984184,1731250,2979532,4936861,4936860,7787088,4938712,4938711,4944297,2983984,1732342,1730036,983506,553688,309856,309857,553691,983513,1730051,2980246,4938774,7789434,11681254,16722887,255322608,17013188,16718850,11677091,254552655,2978035,1728529,1728530,2978037,4935692,254381934,16718853,11993993,11993992,16974590,254823012,5054138,7947444,5057895,3064361,3064359,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,3078035,3315493,5391787,7957975,7957974,8347911,8347914,12355751,12154865,8185254,8185253,7231659,4558142,4558144,5388617,3313527,1949319,1949322,3313539,5388633,8348905,12356959,268112077,7290928,4597641,4597642,2769353,1605674,913146,569869,498156,288617,288618,289325,289324,515544,913638,1606254,1502201,851490,480920,270670,270668,480912,289240,289239,515390,515898,533318,945632,1502147,1502146,1081589,913169,515213,515214,338077,185699,101569,101567,185696,160156,88146,48508,48510,88154,159799,159797,160018,289131,480959,288665,288664,514416,911807,515648,514765,514766,912375,911592,514282,514281,515928,480905,480906,480948,270712,150062,82551,45164,45165,254077783,270720,481007,851611,1502365,2603412,254346265,254409567,8480278,7678725,4858733,2928031,1698437,1698439,2928040,4469084,4604543,4540720,4540447,2813961,1632553,1632554,2812873,4600397,4469142,4469141,2729488,1581461,899032,899036,536509,536512,928040,523082,523085,928012,523066,293159,293161,523072,899298,1581858,2684964,2684965,2813171,2684929,2684930,4469068,2812739,1631722,1631720,1985103,1632043,928105,523110,523109,928100,1632035,2813104,4500781,2729131,1581185,1581187,1555294,1555293,1555440,884336,884339,1555447,254336859,1924970,1099840,1099841,1924971,1774241,1011350,570040,570039,254174553,2907734,254168873,958974,941465,531011,297802,164915,90748,90750,164917,297805,531017,303540,303541,287071,287072,512205,503480,282393,155984,155985,193378,154504,154503,177097,177096,105788,105789,93196,93197,53741,53738,97313,176879,105930,93178,92228,92227,165386,165309,91030,50186,28157,28159,50190,91039,105467,57967,32614,32615,254070878,16348,17554,17552,30464,53911,97469,176477,97563,96994,53469,30124,17303,9919,9917,17293,10780,10781,18808,32741,58191,95137,52485,52484,95133,97487,93232,53458,53437,30055,17263,17262,10070,5645,3033,1551,1549,3029,254069533,17319,267734847,5576,9937,254070911,9314,9313,16050,15603,8757,4758,4760,4968,254069787,9097,9096,16070,16504,28852,254070541,4250,2928,2929,5243,2779,1397,680,681,1401,2782,5245,9452,16546,9446,5239,254069969,28907,51393,93158,169247,305840,546056,969557,1705656,2030692,1989343,1175883,1175882,2041893,3380385,3380387,2038505,2038503,3443433,5558686,7458171,5529749,3415625,3415626,5490929,7460675,8489142,8489144,5516367,3403302,3403305,5516373,3456120,2048703,1174860,659531,659533,1174867,2048715,3435006,2031864,2031863,2020434,1156080,648629,648628,1156076,2020426,3421037,5014503,5014502,267986445,23147072,30564261,39161792,49091532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10903294, s2 = 10135895, dlinesl.size( ) = 14 s1 = 14077433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14037981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14037981, s2 = 11011258, int(edited[s2]) = 0 s1 = 14037981, s2 = 11011258, d1 = 12, d2 = 7 Dl.O(d1) = 78050353,91976713,106174331,120376480,134209496,147421552,159766998,262950499,171073990,262950503,170770948,261973475,133802715,119934211,119934212,105698081,91473034,77541029,64372252,52498185,42139938,33181068,25436554,18840837,13423520,9177807,6006959,6006958,254920785,255663031,256642453,52498169,64372230,60775907,49374344,39445900,39445899,49374342,60775906,63673348,51875930,51875931,60775910,49374346,39445901,30841509,23411702,17136549,12043065,12043066,12043116,8096249,6116432,6116429,9314459,13582559,9300236,6123925,6123927,3831554,3831550,2941824,1706057,969812,969809,1706045,2941799,3834485,3834483,6128757,6118025,6118024,9317269,13606801,255679877,14376056,14376057,255740605,25655485,19036752,13588692,9304443,6094870,3813308,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350503,13654911,19006916,17541897,12372919,8360832,8360831,12372916,12619112,8565868,8565867,12619111,268262867,31700236,31700233,24192161,24192160,31700231,37607408,29058195,21762805,21762804,25135026,256106923,41760095,40171593,31486472,23989289,23989290,31367713,26948675,26948676,35029330,256836786,40457448,31762997,24251192,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,17865995,12651930,8590140,8590146,255201469,24241882,258292181,88405165,85610833,72022166,72022165,85610832,85419983,258096241,47693830,256364433,21896681,255061587,7256211,10962241,9415361,6168907,254207464,1341518,766141,766143,1341526,1362558,1341716,766220,766221,1341685,1341684,2312763,3860612,6169788,9416608,13744030,13814009,9473669,9473671,6258184,6258183,6211785,6211786,3920762,2346991,1359502,774906,439931,439930,774898,1341773,1362535 Dl.O(d2) = 2312828,2321674,2321679,2346974,3920734,3927729,6273221,9560418,13928866,13998238,10625219,7012811,4409063,2643482,1527445,866346,488786,276627,152759,83687,83682,152831,277167,494428,876568,1542939,254334253,254334251,7036691,10656078,268207335,27000265,20110390,254976029,9919918,13780036,9447925,6194094,6194096,9447930,13780044,19277318,18123446,12850968,8738931,5689209,3539178,2106790,1213344,1213343,254288127,4083410,2443189,267762145,455550,455549,803854,682215,380148,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,6518816,4914115,4914112,6415202,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389,7011392,7058814,10623461,7035371,7035373,6578770,4121686,4121684,6578761,254516504,3676439,2200748,1278590,1278588,1098575,616667,342794,342797,616711,1098702,1737754,1346054,1282810,1282809,1282423,1282420,2208678,3689254,5904538,5120010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14037981, s2 = 11011258, dlinesl.size( ) = 2 s1 = 14037981, s2 = 11011258, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14037981, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 10904546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10904618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14182731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10905963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10906501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10906501, s2 = 14090126, int(edited[s2]) = 0 s1 = 10906501, s2 = 14090126, d1 = 0, d2 = 6 Dl.O(d1) = 39418487,49347941 Dl.O(d2) = 88059707,88059708,100648820,100648819,114694492,260125404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10906501, s2 = 14090126, dlinesl.size( ) = 2 s1 = 10906501, s2 = 14090126, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10906501, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 10907008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14081965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14081965, s2 = 14279573, int(edited[s2]) = 0 s1 = 14081965, s2 = 14279573, d1 = 13, d2 = 18 Dl.O(d1) = 258411371,64538229,259665315,260876451,147134667,262476957 Dl.O(d2) = 180951287,273790335,265295851,223245669,223245668,225496031,227454125,229166995,227964577,226099314,223957967,221484639,218598122,215168469,211003719,264153515,192459678,183996446,174337581,163493750,151613739,151613738,138912149,125578325,111769075,111769076,125578326,260476309,83981581,83981582,83981579,70453695,57758612,46407813,36546283,28078162,20905679,20905678,28078160,36546281,46407812,57758611,70453692,83981573,271286639,125578314,138912135,151613728,163493741,174337565,263465773,199745891,264444809,215168463,218598116,216830555,216830556,220035719,216830562,263620814,202500069,195674115,187695601,178541772,168182609,156692327,144266736,131028525,117230167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14081965, s2 = 14279573, dlinesl.size( ) = 18 s1 = 14051359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051359, s2 = 11654508, int(edited[s2]) = 0 s1 = 14051359, s2 = 11654508, d1 = 42, d2 = 45 Dl.O(d1) = 254576004,16522185,22727519,30107951,37442552,255989356,71466689,256532896,22870103,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977556,23972510,23972508,21916105,21916107 Dl.O(d2) = 259810764,52725889,42338794,33357572,25596845,18986730,13548905,9275479,9275478,9450204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051359, s2 = 11654508, dlinesl.size( ) = 50 s1 = 10907895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10907895, s2 = 14040509, int(edited[s2]) = 0 s1 = 10907895, s2 = 14040509, d1 = 0, d2 = 0 Dl.O(d1) = 30125425,268647079,48614572,60005370,60007330,48617305,48617306,58831520,55220192,44369009,44369008,48615336,60005489,60005488,257556951,38702062,30125295,28992241,28992240,37537443,38702083,30125309,22742899,16535061,16535062,22742901,30125314,38702094,48616955,48616923,38702051,30125289,30125290,30125214,30125213,38699979,38702191,38702192,47445468,37537427,37537426,38699397,38699395,30122173,30122175,22742912,16535067,16535069,22742921,22739398,22739397,30121837,22743395,22743396,30125476,30121941,22739449,22739445,30121932,38699127,38699725,30122530,30122531,38699729,30122760,22740147,22740144,30122715,30125094,22742686,22742685,30125091,30122598,30122596,30122797,38700009,30125403,30125404,37537435,28992235,28992234,37537432,37537463,37537465,30125511,30125265,30125263,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,30125413,30049176,22739726,16532165,16532164,22739723,16535553,11524968,11524969,16535555,22743409,255491603,16532470,22740065,22740221,22740222,30122861,30122785,22743141,22743142,16535337,16535336,16535167,11524568,7667117,4851305,4851307,7667122,11525155,16531994,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,11521913,7664431,7664434,7664731,7664732,11522342,7666733,7664728,4849510,4849507,7664721,7666527,4850828,2923129,1695643,964191,964190,1695641,2923118,4850807,7665050,4849779,4849778,4851321,2923486,2923487,4851323,7664688,7664687,7666635,4850921,4850920,7664626,4849642,4849644,7664885,11522169,7664811,4849578,4849575,7664802,11522410,11522599,7667096,7667075,4851271,4851270,4851364,7664426,4849301,4849281,2922083,2922082,2923294,2923293,4849312,2922103,2922105,2923210,1695697,1695695,254362875,4849542,4849543,2922969,2922970,4850616,7664828,7664827,7667109,4851301,4851302,7667114,7667047,7667048,11525113,255491709,255110194,4850638,4850637,7666303,255110289,7666082,4850464,4850465,7666084,11524096,255491699,22744466,16536392,16534598,16534597,22738757,16531525,16531526,16534372,22742206,22742084,22742085,22742385,16536383,11525586,11525587,16534379,11525003,7666958,4851192,4851193,7666965,11523798,7665804,7665805,11523804,11523779,7665794,7665793,11523773,16534333,22742168,22742182,22742099,16534245,16534244,11525560,7667398,7667397,11523674,11523673,16534192,22738775,16531536,16531537,16531531,16531529,16534585,11524099,11524098,16534581,16535425,22743252,30120969,22738745,22738747,22738618,16531409,11521508,11521507,16531404,16536425,22742178,30124665,30124664,30125837,22743428,16535577,16535575,22743426,22743454,30125869,30120690,22738518,16536369,16536368,22739028,22739029,16536336,16536337,22338395,22744458,22742215,22742093,16536343,11525558,11523681,7665710,7665711,11523683,16531541,11521596,7664214,4849179,4849180,7664217,11521599,16531512,255491493,22743432,30121303,38697637,30126124,30124992,30120805,30120806,26338081,19609520,14051375,14051376,19609526,26338090,30124519,38701408,47440799,37532718,28987972,21704388,21704356,16190684,11254550,11254552,16190687,22338404,22738902,22738903,30121105,22739037,16531693,16531301,16531300,16535460,11524881,11524882,15663104,21704381,22738491,22738492,30120653,37803613,37803614,47440815,37532740,28987944,22738891,16531612,16531611,22738886,30120713,38697631,30125724,30125725,30126995,30120962,30120964,22743647,16535717,16535719,22738849,22738848,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524909,16531313,16531314,22738483,30120660,38697519,46661228,36775706,36775708,30121310,30120741,30120743,38697666,38697990,30121293,22739051,22739052,21704324,21704322,28987890,22743671,16535733,16535732,16536468,16536467,16531350,16531349,16531271,11521429,11521428,16531269,22738423,30120556,30125521,29691039,29691037,38256371,29691005,29691003,22743112,22743110,30125524,30127059,22744526,16536459,11525674,11525675,16536462,22743351,22743350,30125771,30127042,30127043,38703741,46661220,36775699,28279619,28279618,30125718,38702479,48617233,41467165,32590187,24928707,24928706,32590181,41467159,38697477,38697479,38703777,30127071,22744538,22744537,22743331,22743330,30125744,38697438,30120538,30120539,38697439,38697890,36725594,36725595,46613127,46613115,38702535,30125765,30125766,36733525,36733526,38703761,30127056,22744520,22744519,30127053,38703751,48617283,48617282,57997798,57997799,60004260,48613464,48613463,55344575,55344574,60004386,48613481,38697974,30121110,30121109,37371833,38697560,30120633,30120635,30120563,30120562,30124796,22742370,22742371,30124797,38701635,48616567,50254825,57997877,49385198,39457165,30852957,30852959,38703766,268640724,48613194,48613193,57997926,46621832,46621833,257556733,52500596,42142099,33182597,33182598,42142105,40429392,40429391,33182635,33182636,39457171,31735160,24226607,17854810,17854811,24226612,25545590,33307209,40235572,50254747,40235358,31549434,24045814,24045815,31549423,31549422,39828433,31146233,31146235,24045845,17693310,12514196,12514195,17693303,24045834,31549473,28232011,21034894,15108608,10420919,10420920,15108616,21034917,28232042,36725768,38004055,29441130,22107747,22107748,28281453,33182603,25437567,18841510,13423908,9178031,6007122,6007125,9178045,11180436,16097125,268291140,11469102,11031564,11031566,15910214,22011753,15910667,11031944,11031945,11031315,7306119,7306120,11031317,15909919,15910688,11031961,11031962,15910690,255879905,37913228 Dl.O(d2) = 30125425,268647079,48614572,60005370,60007330,48617305,48617306,58831520,55220192,44369009,44369008,48615336,60005489,60005488,257556951,38702062,30125295,28992241,28992240,37537443,38702083,30125309,22742899,16535061,16535062,22742901,30125314,38702094,48616955,48616923,38702051,30125289,30125290,30125214,30125213,38699979,38702191,38702192,47445468,37537427,37537426,38699397,38699395,30122173,30122175,22742912,16535067,16535069,22742921,22739398,22739397,30121837,22743395,22743396,30125476,30121941,22739449,22739445,30121932,38699127,38699725,30122530,30122531,38699729,30122760,22740147,22740144,30122715,30125094,22742686,22742685,30125091,30122598,30122596,30122797,38700009,30125403,30125404,37537435,28992235,28992234,37537432,37537463,37537465,30125511,30125265,30125263,30125042,26909668,26909667,30122055,30122054,22742930,16535075,11524502,7666466,7666467,11524506,16535081,22742889,30125285,22743230,22743229,30125411,30125413,30049176,22739726,16532165,16532164,22739723,16535553,11524968,11524969,16535555,22743409,255491603,16532470,22740065,22740221,22740222,30122861,30122785,22743141,22743142,16535337,16535336,16535167,11524568,7667117,4851305,4851307,7667122,11525155,16531994,16535179,11524572,7666518,4850821,4850819,4850815,2923123,2923121,4850791,4850790,7666472,7666605,4850907,4850908,7666608,7666615,4851313,4851314,7667134,11524978,7666942,4851177,2923390,2923389,4851172,7666937,11522486,16532736,16535247,16532691,16532690,22740322,16535120,11524715,7666658,4850938,4850936,7666654,11524709,11521913,7664431,7664434,7664731,7664732,11522342,7666733,7664728,4849510,4849507,7664721,7666527,4850828,2923129,1695643,964191,964190,1695641,2923118,4850807,7665050,4849779,4849778,4851321,2923486,2923487,4851323,7664688,7664687,7666635,4850921,4850920,7664626,4849642,4849644,7664885,11522169,7664811,4849578,4849575,7664802,11522410,11522599,7667096,7667075,4851271,4851270,4851364,7664426,4849301,4849281,2922083,2922082,2923294,2923293,4849312,2922103,2922105,2923210,1695697,1695695,254362875,4849542,4849543,2922969,2922970,4850616,7664828,7664827,7667109,4851301,4851302,7667114,7667047,7667048,11525113,255491709,255110194,4850638,4850637,7666303,255110289,7666082,4850464,4850465,7666084,11524096,255491699,22744466,16536392,16534598,16534597,22738757,16531525,16531526,16534372,22742206,22742084,22742085,22742385,16536383,11525586,11525587,16534379,11525003,7666958,4851192,4851193,7666965,11523798,7665804,7665805,11523804,11523779,7665794,7665793,11523773,16534333,22742168,22742182,22742099,16534245,16534244,11525560,7667398,7667397,11523674,11523673,16534192,22738775,16531536,16531537,16531531,16531529,16534585,11524099,11524098,16534581,16535425,22743252,30120969,22738745,22738747,22738618,16531409,11521508,11521507,16531404,16536425,22742178,30124665,30124664,30125837,22743428,16535577,16535575,22743426,22743454,30125869,30120690,22738518,16536369,16536368,22739028,22739029,16536336,16536337,22338395,22744458,22742215,22742093,16536343,11525558,11523681,7665710,7665711,11523683,16531541,11521596,7664214,4849179,4849180,7664217,11521599,16531512,255491493,22743432,30121303,38697637,30126124,30124992,30120805,30120806,26338081,19609520,14051375,14051376,19609526,26338090,30124519,38701408,47440799,37532718,28987972,21704388,21704356,16190684,11254550,11254552,16190687,22338404,22738902,22738903,30121105,22739037,16531693,16531301,16531300,16535460,11524881,11524882,15663104,21704381,22738491,22738492,30120653,37803613,37803614,47440815,37532740,28987944,22738891,16531612,16531611,22738886,30120713,38697631,30125724,30125725,30126995,30120962,30120964,22743647,16535717,16535719,22738849,22738848,30121054,29690978,29690977,28987924,21704345,15663083,10842809,10842808,7471043,7471044,11254561,16190711,22338444,29691029,22738942,16531654,16531655,16535482,11524897,7666859,4851125,4851127,7666869,11524909,16531313,16531314,22738483,30120660,38697519,46661228,36775706,36775708,30121310,30120741,30120743,38697666,38697990,30121293,22739051,22739052,21704324,21704322,28987890,22743671,16535733,16535732,16536468,16536467,16531350,16531349,16531271,11521429,11521428,16531269,22738423,30120556,30125521,29691039,29691037,38256371,29691005,29691003,22743112,22743110,30125524,30127059,22744526,16536459,11525674,11525675,16536462,22743351,22743350,30125771,30127042,30127043,38703741,46661220,36775699,28279619,28279618,30125718,38702479,48617233,41467165,32590187,24928707,24928706,32590181,41467159,38697477,38697479,38703777,30127071,22744538,22744537,22743331,22743330,30125744,38697438,30120538,30120539,38697439,38697890,36725594,36725595,46613127,46613115,38702535,30125765,30125766,36733525,36733526,38703761,30127056,22744520,22744519,30127053,38703751,48617283,48617282,57997798,57997799,60004260,48613464,48613463,55344575,55344574,60004386,48613481,38697974,30121110,30121109,37371833,38697560,30120633,30120635,30120563,30120562,30124796,22742370,22742371,30124797,38701635,48616567,50254825,57997877,49385198,39457165,30852957,30852959,38703766,268640724,48613194,48613193,57997926,46621832,46621833,257556733,52500596,42142099,33182597,33182598,42142105,40429392,40429391,33182635,33182636,39457171,31735160,24226607,17854810,17854811,24226612,25545590,33307209,40235572,50254747,40235358,31549434,24045814,24045815,31549423,31549422,39828433,31146233,31146235,24045845,17693310,12514196,12514195,17693303,24045834,31549473,28232011,21034894,15108608,10420919,10420920,15108616,21034917,28232042,36725768,38004055,29441130,22107747,22107748,28281453,33182603,25437567,18841510,13423908,9178031,6007122,6007125,9178045,11180436,16097125,268291140,11469102,11031564,11031566,15910214,22011753,15910667,11031944,11031945,11031315,7306119,7306120,11031317,15909919,15910688,11031961,11031962,15910690,255879905,37913228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10907895, s2 = 14040509, dlinesl.size( ) = 2 s1 = 10907895, s2 = 14040509, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10907895, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14018863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14018863, s2 = 11237088, int(edited[s2]) = 0 s1 = 14018863, s2 = 11237088, d1 = 20, d2 = 14 Dl.O(d1) = 254216187,4121668,6578735,10009654 Dl.O(d2) = 256235285,27202394,256235287,255758103,14547458,14547457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14018863, s2 = 11237088, dlinesl.size( ) = 16 s1 = 14898949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14898949, s2 = 11008634, int(edited[s2]) = 0 s1 = 14898949, s2 = 11008634, d1 = 18, d2 = 12 Dl.O(d1) = 259974417,271878876,58227141,70944323,58227144,256849559,256310545,270917876,58227138,58227137,58227142,58227143,258662345,256849557,36980828,36980829,257428025,258662347,257428029,36980831,36980830,46859355,36980833,28483952,21267466,15305967,10569832,254496437,4379667,6955454,4370221,4370223,6066542,9262405,8105008,8105009,12055043,12060398,8109011 Dl.O(d2) = 6964999,9259983,6064903,3794682,3794681,5198082,3171350,3171349,5198080,8113709,12066216,8113659,8113658,12066178,12066311,12066310,10542270,6952568,4368595,4367064,2616673,1510902,856796,483873,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,9258973,10697416,10697413,15470453,13529712,9260265,6065086,3794783,2273061,1318193,752060,427216,241156,241158,427224,752077,1318241,2273189,3795062,6065521,6065519,6962312,6962311,9260639,9260638,6963204,6963205,9939566,14447833,17164555,12068345,8115254,8115253,8105358,5193175,3168853,2674089,1548985,880583,880582,1548979,2674073,4451188,7069839,8104260,5192531,3168494,1855125,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067400,8110999,6954460,6954462,10545055,9246739,9246740,10557811,14050849,19608794,26337146,28459566,29733242,36974336,29783462,22418059,21270093,15308683,10572148,6973303,6973302,10572146,269370662,1707534,1707533,2944495,4886536,3089370,3089371,4563792,4563791,3091712,3091711,5071407,3074685,3074684,254378409,1793394,1023010,576438,322563,178306,98154,54307,30736,30737,54309,98163,178326,322604,576514,1023124,1793536,1793369,1030567,1030568,1793783,1790505,1788912,1020024,1020027,1778939,1014240,571701,571702,1014245,1778948,1015053,572161,572163,1015062,576674,576672,1023410,1793933,1803259,1789262,1020274,1020273,580115,580113,970626,1028722,1793972,1023437,576685,576686,1023442,1793979,1803300,1793710,1023253,576577,322631,322632,576582,1023262,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324813,580836,1030749,1788989,1024077,1024078,1029198,579915,579916,1029201,580761,580760,1030640,1804985,3080313,1797733,1025852,1025853,1797736,3080317,5043787,7933128,7950874,254562343,3057636,1782211,1016356,1016357,1782213,3057639,3053818,3053820,3076813,1795252,1024271,1024270,1794681,3076065,1802326,1028839,1028841,1802329,3086776,5087658,7992779,7950908,7937062,5047349,5047348,7937059,7986382,7986383,11933822,11889511,11558584,7691898,4867555,4867556,3082778,3082777,5082844,7986407,11890746,11890747,11889508,7949289,5055486,3062807,3062808,4940093,2981044,2981043,4940087,5048838,5048863,7930477,11691751,7797820,7797822,7797796,4944937,2984492,2984491,4944930,7797783,11691720,16716301,16716302,16954017,16718224,11676372,7785048,4935159,4935158,7785080,11676414,11678374,7786874,7786873,7574917,5071733,3074995,1793955,1793956,2983643,4943805,7783888,4934144,4934145,4944900,7795925,4943460,4943459,7795924,11689613,11674494,7783432,4933673,2976483,2976482,4933672,2978782,1729031,1729033,2978789,2978757,2978760,4936713,7786951,255504602,4932873,4932874,4934062,267983875,2983589,2983588,2981087,2981021,2981022,4940061,4936831,2978843,2978842,4936830,4931978,2975201,2974818,2974819,2979819,2979820,2979240,2979239,4937367,7784107,11675228,7785548,7785547,11676906,255881593,15934417,14219956,9775964,7341405,6429443,6429446,4668027,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14898949, s2 = 11008634, dlinesl.size( ) = 2 s1 = 14898949, s2 = 11008634, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14898949, Dl.E( ) = 20, 1.19e-05 seconds used appending s1 = 10908656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095943, s2 = 14147156, int(edited[s2]) = 0 s1 = 14095943, s2 = 14147156, d1 = 29, d2 = 39 Dl.O(d1) = 258114472,22084513,22084352,22084353,268631099,29452156,38014287,257504517,270835465 Dl.O(d2) = 232640139,233795467,232640165,232640164,232640171,265993000,265861261,231361585,232640155,233795487,234846685,234846679,233795478,232640148,231361565,231361567,229934526,228326396,226493831,265385402,219145911,215804351,215804349,219145908,221967162,224389853,226493827,228326392,229934519,231361581,232640168,233795501,233795492,232640159,231361573,229934513,228326390,228326389,229934512,228326393,226493829,265716499,229934522,229934523,228326395,226493831,226493830,265861265,231361588,229934520,228326393,226493829,224389856,224389855,265861261,231361585,232640155,233795487,234846685,234846679,233795478,232640148,231361565,231361567,266115027,233795503,274556884,229934527,266115029,233795506,234846687,266512020,234846676,233795475,232640162,232640163,232640166,231361579,274596353,265992998,228326387,228326388,229934510,231361570,232640155,233795487,234846685,234846679,233795478,232640148,231361565,231361567,229934526,228326396,226493831,226493830,265861265,231361588,229934520,228326393,265861263,229934505,265993003,232640144,233795473,232640149,231361565,231361567,266115027,233795503,274556884,228326397,226493834,224389858,221967166,219145911,215804351,215804349,219145909,265385405,226493825,228326388,229934510,231361570,232640155,233795487,234846685,234846679,233795478,232640148,231361565,229934507,228326386,265559264,274274004,265716497,224389858,221967166,219145911,215804351,215804349,219145909,265385405,226493825,228326388,229934510,231361571,232640156,233795489,233795470,233795469,234846669,235804179,234846683,233795485,233795484,234846681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095943, s2 = 14147156, dlinesl.size( ) = 40 s1 = 14295699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14161077, s2 = 14049600, int(edited[s2]) = 0 s1 = 14161077, s2 = 14049600, d1 = 25, d2 = 17 Dl.O(d1) = 270287039,272177589,92662886,92662889,86717385,86717386,92662892,106996760,121289411,126320638,112454557,112454555,100040271,86077296,72479271,59744123,59744125,72479278,86077328,100040315,98377280,91515018,91515017,78876608,65541572,65541571,78876600,92988077,98265747,84357292,70798670,70798669,70798656,70798657,84357269,77578176,77578174,91508955,85053877,71482621,71482622,85053875,77583713,64414879,64414880,259660835,91513676,77582557,64413898,52539713,52539716,52539086,42180682,33221265,33221266,42180685,52539090,64413007,52539111,42180698,42180694,52539105,64413029,77581473,77582462,81208678,77583700,77581203,64412792,258406637,91509897,77579041,77579042,259660481,258642848,52537585,42179653,33220545,256645607,52537587,64411042,77579187,86717778,73111994,60372424,48976286,48976288,60372426,73111998,86717784,100693976,114743688,119972499,105737576,91513619,77582501,64413863,52539686,42181106,42181107,52539689,64413794,58714132,47325180,37416655,33221523,25474042,25474040,33221517,256290480,268200436,95236043,81180633,74772485,61976122,61976121,57647560,46302792,36449859,36449858,46302791,57647558,70338015,83863201,73425414,73425415,70338244,70338243,75679784,70337955,57647507,46302755,36449839,27991355,27991353,27991395,36449917,46302887,57647730,70338280,70338115,57647626,57647627,70338118,72106203,59373700,47983783,255375352,255801854,47983786,59373707,67715851,67715641,55375826,44529583,38071748,38071747,47983824,59373762,255802356,47983879,38071782,38071783,47983880,59373830,254716988,40181885,31497165,23999724,17655527,12484875,8455864,5463226,3359282,1974936,1127457,254187441,3359276,3223102,1889241,1889243,1911990,3255028,3264869,3264872,5315618,7493211,4736486,2854456,1899317,1899319,3217344,3217343,3237878,1899559,1084252,608944,338838,186077,101752,101753,186083,338862,608991,1084332,1899680,254265871,254089097,254089095,615289,614985,614984,1088210,254180633,601433,339645,186451,101973,56115,56117,56272,102319,187342,341446,614154,988849,1740078,1740354,1740358,2996712,3199502,3199504,5240454,5240455,8171312,5318207,3267118,1920568,1097144,1097143,1920565,3267114,3195912,1870769,1870768,3195910,5235774,3268910,1921935,1097957,1097956,1921933,3268908,3269952,1922780,1922779,3269950,5309952,5309953,8237544,11030774,7305433,7305432,8187356,7827421,4968471,3000897,1742705,1742703,2773255,1608539,1608540,2773259,1882960,1074384,603603,336080,336082,603614,1074399,1078349,1078350,1070692,1070693,601665,601664,1070701,1876830,2777031,4612153,3228525,1893181,1893182,3228526,5274309,8203253,11036550,7577968,4793210,4793209,5248171,3206059,3206060,3214204,1882921,1882798,1074163,603505,603506,1074182,1882831,3206044,5247249,5247247,5092328,3090282,3090279,2778710,1612001,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301558,537888,953902,1676642,254267557,1100161,617501,343223,188264,188263,343214,617477,343315,188309,188308,343310,617678,1100469,1925960,3274375,1939854,1108066,621836,621835,1108061,1101335,618136,343549,188415,188416,343552,618143,1101347,1100330,1100329,1733189,1733188,2985306,4946287,3299304,1940477,1940476,254185071,622050,345692,189588,103521,56933,56934,103524,189597,345709,622083,1108503,1940606,3299486,3274134,1938927,1107528,1107530,1938933,3273678,3273675,3295814,1938423,1107245,1107247,1938432,3277794,1927981,1101564,618270,343619,343618,618264,1101553,1106872,1937788,3294793,5359932,8307196,12299837,12239277,8264924,5332501,5332500,3299174,1940407,1940408,3299177,5330823,3276725,3276726,3298379,3298378,5365422,8263352,8267228,12241819,254749076,17375338,12243288,12243287,12241378,8266849,5333918,3278704,254398453,3276916,5331126,8263101,5332254,3277593,1927854,1101491,1101492,1927857,3277598,5332260,5366928,5366927,8317178,12240563,8266810,5333890,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299129,5335757,3279942,3279941 Dl.O(d2) = 1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1173156,1173154,2046047,3426084,3426085,254611195,8574246,5570132,5568148,254587521,254587523,254749667,2732616,4545689,7214760,10909359,12461082,12461083,13439678,9189160,6014875,6014876,9189163,13439681,12462728,8431451,8431452,12462729,17638566,17638200,12462369,12462368,12462255,255185443,17461015,12309695,8314457,8314458,255171687,23792751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14161077, s2 = 14049600, dlinesl.size( ) = 8 s1 = 14049599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14049599, s2 = 14161078, int(edited[s2]) = 0 s1 = 14049599, s2 = 14161078, d1 = 16, d2 = 18 Dl.O(d1) = 28752935,255171686,19297986,24278427,24278426,31792148,255185442,22180534,22180535,29523084,29523015,26040810,26040809,29928700,26360199,19629056,19629053,26360197,21849254,21849253,16054180,11147140,11147139,16054177,22180359,17831646,12626434,12626433,254749666,254587522,254587520,21849235,19619203,19227900,254611194,9410566,6165657,6165660,7235050,4560959,4560957,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150 Dl.O(d2) = 12613885,8562135,8562134,12613884,17816242,17792729,17792728,17422669,12279952,12279951,13736626,13736625,12252704,8275075,5339358,5339360,8259342,254244494,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,8262952,8262957,12237075,17369162,13496647,9233736,9233737,13496650,17775744,12580125,8533119,8533120,12580127,17775745,19836756,14210753,14210752,19836754,267899586,12638482,12602386,8552093,5549823,3434963,2031808,2031809,3434966,5549829,254415292,17802942,24170387,31678480,267846774,254865218,31573361,24067672,17788051,13180303,8984245,5865300,3661818,3661817,5865296,5562706,5562705,8567016,8567034,7631840,7631842,8533188,8533187,8532733,5531170,3416714,2017043,1153903,647336,647339,1153863,2016960,3416564,5530871,4012054,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148398,20148395,17787937,17787940,12608075,8556988,8556990,8551656,8551654,8493280,8493278,12531965,8494878,5496116,5496119,8494865,12533245,17716672,17812467,12610681,12610680,17757060,19229324,13737168,9411117,8547638,8500609,8500608,8566947,8566950,8566891,5562642,3446440,3446415,3446414,2040640,2040642,3446494,5537316,7394638,7394637,11148902,12589400,12589403,11506323,10289609,10289607,14956258,10746752,7100189,4470423,4470421,7100167,10746676,7100159,7100161,10746685,15538956,15083527,15083524,17386562,17386560,17770392,254193852,15538704,17812502,17818486,14126731,9718894,9718895,254275832,16889833,17386151,17386153,17704042,17704041,24058962,24135038,24135039,17801882,12601615,8551626,5549554,3434819,3434816,5549544,8509140,12549986,12584593,12584594,12601567,12601570,12589258,8541106,8541109,12589266,17787137,20148804,20148803,17704103,12522478,12522479,17704105,19837278,14211206,13180105,13180106,18549979,25097708,25097722,26650414,25426763,18833273,18833272,22664873,30040251,24139722,17775449,12579907,12579908,17775452,24139729,24099305,17740645,14335065,9847700,9847697,8529813,8529812,12576424,17771295,14453254,14453255,12522242,8483978,8483977,9943719,9943718,14453246,20148208,16605983,11581578,11581580,12676809,16613103,17724608,15107876,10420335,10420337,15107885,21034058,17817697,17817698,24138903,21034037,15107867,10420330,254412180,17745624,17745623,24104134,24134986,27044999,25370812,18786599,13380889,9146273,5985363,5985361,9146263,13380866,16470452,20150094,20150095,22833728,18786631,18786630,16469524,11475158,11475159,7632496,7632495,11475172,16469540,18862210,20151843,20151840,22588711,20152221,14456340,14456339,14455996,9945399,6536489,4095381,4095380,6536485,9945391,14455983,20151722,255191190,27042426,31573746,29668831,254589530,20149418,14454152,9944286,9944285,14454150,14454206,20149494,17712187,17712188,17836938,16171695,16171693,17798639,12599147,8550143,5548783,5548782,8550152,12599167,14126813,14126812,14128085,9719705,9719707,6394053,4012541,2404726,1391519,1391518,2404721,4012529,6394031,9719689,14128060,19704027,14454235,14454233,19702325,14126859,14126857,9720102,9720100,14128822,19705043,20012214,20012212,26893392,26893660,22317396,16172188,16172189,19702356,14126882,14126881,19702346,16163731,254871486,10890224,15726570,21785075,29082804,29525599,26444189,19705103,19705104,26444191,34321153,43421143,43419812,34318703,34318704,40350883,267884342,34320546,39867470,254739392,17799424,12599731,12599732,17799426,15726604,10890243,7201840,4537322,2727306,1580152,1580153,2727309,4537324,7201845,10890259,10897885,10897880,10435926,7208485,7208483,10899205,10899187,10436311,6880043,6880044,10436315,15131426,15131444,20310232,15737836,15737834,12241704,12241706,17373604,23695696,23794625,17462531,17462530,21064299,21064298,21611294,15582134,15582135,21611296,254398452,7208164,4541751,2730244,1582006,1582007,2730247,4541756,254749077,15130503,10435785,10435784,15130500,21064378,21793955,15735045,15735044,21793420,15734638,10897560,10897559,15734635,15736544,15736545,21795785,26585929,29092535,29093568,21795752,15736518,10898751,7208237,4541792,4541795,7208247,9174813,13418879,18833916,15736642,10898831,10898833,15736649,17041192,17041194,21793785,21793244,15734509,15734512,15720595,15720594,11239743,11239741,12310769,10883913,7196604,4533907,4533908,7196607,7207566,4541433,4541432,7207563,10897551,15734621,21793405,254185070,7207756,7207757,10897862,15734543,17372275,15734589,15734590,16737918,16737919,22974422,21795854,21068272,21068271,15736624,15133171,10901186,10901187,15740281,17377176,17377177,21800221,29077509,29077510,31189065,31189064,31184526,23694782,21496146,15489755,15489754,20310043,19161578,19161579,23213593,23213594,22222296,16089581,254267556,4684873,2822708,2822710,2686081,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787899,4628169,7327253,11051759,10752314,10752313,7558261,7558260,11376769,16349340,22522512,28833466,21562628,15541243,15541242,15883811,11010665,11010666,7561251,4781158,4781159,4780804,4780805,7555161,7555160,4922597,2968516,2968515,4922594,7769193,11657758,11657807,7769237,4922620,3230992,3230995,5277174,8206325,8206324,12174548,15547268,10752830,10752829,11468443,11468442,16459521,22503124,29864780,28840358,21569010,21569009,27018280,28838409,28838410,22517506,16344092,16344091,21566748,23637527,17337072,17337071,23654124,31137811,23650177,23650178,31137813,31098867,31098866,37875817,29306725,29306726,37875818,31122852,29338139,22006783,22006782,29338134,22514234,16340766,11369668,8224985,8224987,11360765,8248916,8248912,5959701,3727018,2877281,2877283,4773590,7547904,6524957,4088288,4088290,254180632,14433170,14493361,9972268,6553986,254089094,254089096,254265870,8249041,8242983,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,17658167,22501442,16327202,254187440,7546792,11359040,16327207,22501451,17343536,17343535,23660357,28218350,21023359,15099752,254716989,6864582,10413968,10413955,10413954,15099730,255802357,21021776,15098397,15098399,21020762,28214815,36706246,36706301,28214880,21020821,15097666,255801855,255375353,10413878,10413391,6864191,4307889,2575901,2575900,4307886,4308146,2576029,1483696,839146,473109,473067,473069,839065,1483553,2575762,4307640,6863760,4308056,4308057,6864440,6864502,6863900,4307728,2575823,1483593,839085,839086,1483594,2575825,4307730,6863903,10412868,15098098,15098802,268200437,256290481,21021385,21021384,17028633,11943577,11943576,17028630,23287818,30703689,39301229,49228213,55404541,67744085,81209173,85997106,99955703,113978492,119990011,105756211,91533379,77602664,64433728,52558915,42199510,42199508,52558913,46599082,36710897,28218366,28218367,36710901,256645606,44556434,55403360,67742566,258642849,259660480,95263402,95263401,100973448,258406636,62034236,62034237,64413026,64413027,70690504,84242722,81208680,67743659,55404196,55404200,67743665,81208661,67743646,55404190,44557107,44557106,55404187,67743642,67744118,67744115,81209204,95265273,101184541,259660834,70691909,57974043,46597142,46597141,57974040,57974039,70691906,70691903,70691902,84243978,73570557,60822986,49422419,49422418,60822982,73570554,87189523,81057760,67590305,55248596,55248597,67590313,81057777,95115121,84245739,70693836,57975845,46598758,46598759,57975849,70693855,84245780,98134674,101185812,101187151,101187143,98134315,87920484,74317289,74317290,77602201,74317286,74317283,272177588,270287038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14049599, s2 = 14161078, dlinesl.size( ) = 8 s1 = 14128089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14128089, s2 = 11252450, int(edited[s2]) = 0 s1 = 14128089, s2 = 11252450, d1 = 28, d2 = 38 Dl.O(d1) = 264960963,221702851 Dl.O(d2) = 235022866,274602668,224746097,265230216,87074028,258214872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128089, s2 = 11252450, dlinesl.size( ) = 62 s1 = 14058929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058929, s2 = 13437129, int(edited[s2]) = 0 s1 = 14058929, s2 = 13437129, d1 = 2, d2 = 0 Dl.O(d1) = 99889688,85934509,72340785,59606195,48219304,38309373,38309374,48219307,59606200,72340761,85934477,81089953,67624353,67624354,81089955,259785527,123592873,137324160,127782662,127782661,127782660,114411110,114411111,259612226,134761341,269958632,133354378,258985110,126778015,112923487,98933992,98933993,100388030,100388029,92403540,78367891,78367892,78367867,78367868,90877273,105056135,119248942,105268265,91056892,91056891,91784839,257744422,52756987,42357421,42357422,48219324,48219325,59606225,60189167,60189166,55628602,48792506,38870182,30284338,30284339,256842151,58142639,60189169,48792507,48792508,60189171,59228108,268937131,29339804,23848614,17506423,12344257,12344258,17506426,23848619,31341611,255879557,15907127,15907125,22008284,29339807,37908582,47830274,41403948,32546115,24897136,24897137,32546118,41403956,51644491,63387177,258181776,257651375,50040728,61519972,258260303,259611627,90261692,90261693,90261694,87901534,78331138,78331137,76430957,63387216,63387217,257573214,63387199,76430935,90261678,76430946,63387206,63387205,256992436,104414018,99500478,85553677,71966074,59228116,269803101,76430965,76430966,90261711,100507228,86545098,72945329,72945330,81099803,81099804,258082150,109810419,259429338,258181868,57721468,256812650,36512164,46371086,57721464,68083596,55685222,44776982,35352316,35352317,44776983,35352320,27229247,20300205,14567829,10024312,6588317,6588318,4483081,2693572,1560448,1560447,2693569,4483076,4128216,4128215,6589300,10025860,14569779,20302413,255342288,10025883,10025882,14569809,20302450,15580201,15580202,21608927,21611620,21611621,15583153,10779845,10779846,15583155,11273715,11273714,16217308,21606769,21606768,15582559,254558284,28801867,21609357,21609358,21609047,21609046,27231251,20301983,20301982,15583013,15583012,21612054,20302238,20302239,21612023,15582814,15582813,21612020,28884557,37426684,254373744,29332644,29621786,38007834,29444964,22111257,15999284,15999285,22111262,15999309,15999311,22111316,15999523,255132896,15999051,15999050,16872506,16872507,20286585,20286584,16000037,15999156,11107212,7366742,7366743,11107121,7366753,4653917,4653916,7366749,11107223,11107287,11107924,7367117,4654105,2803823,1626561,924915,521367,292243,292244,521372,924929,1626578,2803852,4654181,7367228,7366957,7366956,11107653,11107684,11108169,16000608,15999038,11107129,11107131,11107328,11803007,7883350,5006545,5006546,7883357,11797382,11797380,16865787,16000376,11108019,11108018,16000067,11107793,7367037,4654064,4654065,7367042,11107806,16000090,16866477,16866478,23126417,30544860,30549768,29445857,22112357,22112349,16000145,16000146,11107952,7367137,4654118,4654117,3025967,3025964,5005243,5201177,8118742,11798420,7879563,7879564,11798260,11798259,16866413,16870370,20991436,15077844,10399907,10399906,11800188,16869090,11802470,7882868,5006142,5006141,7882863,11802464,11803238,7883538,5006687,3027154,3027155,3027202,3027063,1761296,1761295,254102452,5005531,3026222,3026221,254250132,11801362,10015621,10015620,14555778,20285792,27214161,35338109,44764315,40209005,31523317,24021724,17672246,17672247,24021725,22901684,16670917,16670918,22901685,30300395,28719881,21463659,21346534,15371283,15371281,21346530,28575255,37079059,46959659,268236180,28575244,28575243,30299757,22901109,22901110,30299759,38885514,48807835,58326972,58326971,60204916,254367248,48958188,39036369,39036367,48958184,46943297,37064260,37064259,46943296,38884849,30299146,30299147,38884853,48807163,60204236,72944099,86543921,75950589,75950590,72944103,60204241,60204242,58369938,58369940,71086484,84600014,71035768,58320084,58320085,46999538,256319942,28604321,37113679,46999541,58369955,71086494,84649222,98572446,98566880,84644076,84644075,86396688,84600012,72800733,257438586,48665345,269827367,47324387,37415814,37415813,47324385,48665439,38743584,38743523,38743522,38743586,38743585,38743535,30160662,256435585,255912088,15570885,10770245,7116142,4480496,2692074,2692073,4480493,7116138,10770239,15570875,21598629,28874124,28874123,21598660,15570898,255414333,22772192,16557811,11541260,11541261,16557813,255936265,37415745,38743534,37415749,29485609,255912084,15570868,10770233,10770232,15570866,21598611,22167891,22167892,29508427,29485602,22147233,21555019,21555020,22147255,22147254,29485625,37365989,28825754,21555013,21555014,20220657,14509928,9984369,9984368,14509927,20220655,256230111,35218177,35218178,44598935,47962096,59352714,72085886,81259489,76813218,76813217,85017042,71444348,71444349,71444342,71444341,85017035,85017032,85017031,98942703,99076739,112102585,98143780,98143760,84250181,84250180,98143757,112102584,116446252,116446260,102353258,88357151,88357150,102353256,116446256,272238006,261238310,143610464,259424872,88357143,74728939,256443860,40410928,31719288,31719289,256805026,31635776,40325128,257414417,36791823,268492554,15147697,15147696,255807619,36791821,257414415 Dl.O(d2) = 74628536,61836312,50352125,50352126,258134576,85070223,88258753,88258735,258134578,50352084,257674697,40325149,40325151,50352118,61836296,74628519,61836290,61836291,61836306,50352122,50352121,61836304,57700781,46351581,46351580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058929, s2 = 13437129, dlinesl.size( ) = 2 s1 = 14058929, s2 = 13437129, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14058929, Dl.E( ) = 6, 7.87e-06 seconds used appending s1 = 14290479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14290479, s2 = 11154906, int(edited[s2]) = 0 s1 = 14290479, s2 = 11154906, d1 = 0, d2 = 3 Dl.O(d1) = 74558327,88173237,102164048,116206978,102164040,102164041,116225027,130135590,143466462,143466460,143466461,143466463,143466466,140091942,126744178,126744179,116225031,102164044,102164045,116225033,128277025,128277026,114401371,100378531,257683186,60090651,60090650,72827999,74690792,74690793,86422906,100378487,100378488,258795401,60090649,60090648,48694420,48694419,50406577,50406576,53538105,257683184,60090596,60090600,48694425,48694426,48694345,38772385,30188907,22799198,22799199,30188909,30188915,22799203,16582332,11562625,11562626,16582335,22799208,256438025,22799212,16582338,11562628,11562627,16582336,22799210,22799261,22799260,30188976,30188977,38772467,30188982,22799258,16582376,11562672,11562671,16582374,19698639,14124005,9717058,6392465,6392466,9717061,14123941,19698544,26437665,34316276,43417572,37846005,34316274,26437663,19698542,19698541,26437661,34316270,37846007,29278787,21954502,21954493,15863169,15863168,19698561,14123954,14123953,19698560,19698474,14123899,9716987,9716986,14123897,19698470,26437549,34316078,43417262,53943764,66013774,66013775,66014276,66014277,79382047,79382045,259745619,93519255,79382499,79382498,93519253,79382640,79382091,79382090,66014302,53944165,43417593,43417594,53943654,53943655,66013711,66014150,66014151,79382482,93518714,93518939,79382238,79381857,66013630,66013631,79381815,79381814,93518448,86510096,72913641,60176754,48782350,38862123,30277626,22880694,16652321,16652322,22880697,19698533,19698534,26437652,34316251,43417543,53944127,66014246,79382630,259745705,122383183,112212180,112212179,113735088,112212528,107957262,99720517,99720515,113735110,127603937,126068837,112212471,112212472,126068842,139440401,152165072,149631022,136365894,122382220,112212070,260497097,122382191,122382192,112212321,98234078,98234079,112212323,126068668,139440179,136366845,122383178,260961311,112212329,112212328,126068677,139440187,149630824,136365719,261528275,122382839,107956854,93519348,259745693,70767701,58049228,256834901,28291806,21085110,21085111,28291809,36788405 Dl.O(d2) = 58049258,58049253,58049255,70767744,270799679,84326773,70767771,58049274,58049275,58049262,46674492,46674491,58049271,70767765,84326767,98234072,112212310,126068645,139440141,152164950,152165132,152164658,139439863,126068408,112212125,112212124,126068406,139439862,152164656,164043037,161927703,149630949,136365835,122382173,122382172,136365834,149630947,272587890,151535667,261674288,126068721,126068720,127603834,113735014,113735015,127603839,140953246,261124204,260004270,113735029,127603858,136366685,122383011,115129793,101055162,260077655,129057559,122382655,107956740,107956741,122382656,122382687,107956760,107956763,113434127,113434126,126068978,112212605,98234275,84326902,84326899,98234265,107956989,113020176,126872003,126872005,140218502,152908279,149632001,136367083,122383382,122383383,122382632,107956724,107956725,122382633,126872061,140218579,152908341,164738929,175491771,185031508,185031552,185031551,191595761,182962722,173078837,165399865,165399864,161927715,149630968,136365856,136365857,149630970,261181678,140953139,136367105,136367107,149632028,272188156,125500662,261048787,139439753,126068370,113734885,99720333,85766311,72172054,59433414,59433415,72172062,85766327,99720358,113734911,127603728,139439952,127603918,127603917,140953310,153619716,154605469,141961864,128600928,114704080,100658634,100658633,87907538,74303647,74303646,87907535,87907539,87907540,101881767,100100317,86132718,72533352,59798034,48413056,38507056,29943185,29943186,29943187,22580001,22580002,29741179,38309733,48219692,59606569,72341131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14290479, s2 = 11154906, dlinesl.size( ) = 2 s1 = 14290479, s2 = 11154906, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14290479, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10913238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10913238, s2 = 11060654, int(edited[s2]) = 0 s1 = 10913238, s2 = 11060654, d1 = 8, d2 = 11 Dl.O(d1) = 76684807,63596818,51809644,41530521,256095917,18451594,13107580,8933417,5830948,3638524,2174326,1259419,1259418,2174324,3638521,5830945,8933413,13107575,11832213,11832212,16907324,16907342,13107582,13107581,18451596,15811790,10957425,254515299,2751554,2751553,4573753,7252657,7907329,7907330,10941128,10941127,12547691,16907343,11832236,7907432,7907431,254902649,7250153,4571868,4571869,4569671,4569672,7244566,10947549,10948056,15800607,15801154,255868269 Dl.O(d2) = 47671092,269799297,85399966,99344235,99344234,99344237,85399961,71811323,71811325,85399964,99344239,113347155,127205913,140552031,153233541,165051796,154788389,142153953,128798890,114901614,100850844,86869806,258200191,49105751,268969025,30577806,23160951,16899583,254813871,5024187,3041107,3041109,5024190,7903799,7905359,7905360,11260193,7475204,4724257,3041593,3041595,3041635,5025014,3041589,1771210,1771209,1009425,1009424,1771230,3041628,5025072,5025110,7905365,7905351,7903527,7903528,11260132,11260092,11260093,11826597,11826713,11826714,7903812,5024180,5024179,7903737,7903736,5024158,5024156,7903783,7905386,5025124,5025125,5024725,3041422,1771113,1771114,3041425,5024132,5024133,7903747,5024740,3041438,1771124,1009369,1009370,1771126,3041442,5024745,7904810,7905363,11829161,16902646,11828798,11828765,7905096,5024928,4724168,4724167,7475081,4724232,2846487,2846488,4724238,7475172,254813975,5024957,3041561,3041562,5024959,7905139,11828808,16584647,11564927,7697499,4871752,2935736,1702498,1702497,2935734,4871749,7697494,11564919,255496001,11564903,7697482,7697483,11564906,16584624,16899210,23160542,255152438,255152440,22348286,16899218,16899217,22348398,23160623,23160624,23599249,23599250,31083134,30582905,30582906,38305951,46978508,37095164,37095163,29709699,29709698,37026822,29728431,29728430,37095171,37095170,30577028,23160228,23160227,30577024,39174547,255965353,16898964,22371621,22371622,29728371,38295252,48204557,59590905,49768660,49768661,42911674,42911673,46904323,37026850,37026849,46904319,39174542,39174541,49104801,58269914,46904397,39037620,39037621,39174572,30577009,30577008,39174568,48245174,38334742,29764013,29764012,255132844,38334715,38334716,44797226,46904278,46904277,58269854,59228686,71966563,59632845,50527131,50527132,40491566,40491567,38335981,29765255,22402636,16240670,16240671,22402641,29765262,38335995,48246355,59633207,72367443,72367370,59633092,48246154,38335774,38335773,48246151,59633088,59633107,59633251,48246417,38336077,38336076,48246415,59633169,48246290,48246246,38335863,38335862,48246243,59633148,59633155,48246264,38335895,31796756,24282886,17902179,17902178,24282885,31796754,40491638,38335416,38335417,48245814,38336072,38336071,48246412,40491521,40491522,37018277,37018276,46896913,48245674,38335299,29764545,22402007,16240144,11290524,255091893,11290609,11290456,7496100,7496099,7496263,4738622,2855898,2855897,4738617,2855961,2855962,4738733,7496431,11290660,16240316,16239874,11290298,7495984,7495985,11290302,16239878,22401692,16240519,11290995,11025851,11025852,15904461,16240960,16240150,11290529,7496171,7496170,11290528,7496520,7496521,11291028,16240690,11290991,7496492,4738766,4738765,7496486,7496411,7496250,7496249,11290627,7496244,7496243,7496211,7496210,11290581,7496383,4738696,2855944,1657494,943104,531897,531898,943109,1657506,2855977,2855949,2855950,4738709,7496400,11290853,16240538,11290836,11290837,11290950,16240081,11291177,7496649,7496650,11290841,7905029,7496498,7496497,4738783,254532713,7496515,7496516,7496526,11291031,11290780,7496353,4738677,4738676,7496350,7496297,7496200,4738586,4738587,7496203,11290573,11290801,7496367,4738689,4738690,7496371,11290810,11290346,11290347,11826764,11826765,16899579,23160949,30577803,39175430,31644930,24137955,17773777,12578591,8532010,8263695,8263694,12238053,16738642,11694950,11694949,16166186,16166185,12539332,8500572,5502244,5502243,5492477,5492478,5525686,4884963,3429667,3429666,5543945,5560864,3445341,2039986,1169068,656139,254139099,1991903,1138264,1138263,1991902,2254794,3763486,5553252,3437703,3437702,5553250,6016408,9190741,12532728,8797070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10913238, s2 = 11060654, dlinesl.size( ) = 2 s1 = 10913238, s2 = 11060654, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10913238, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 10914132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146083, s2 = 16266480, int(edited[s2]) = 0 s1 = 14146083, s2 = 16266480, d1 = 71, d2 = 53 Dl.O(d1) = 232211002,232211003 Dl.O(d2) = 234466404,235455791,236358887,237183881,266708895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146083, s2 = 16266480, dlinesl.size( ) = 2 s1 = 14146083, s2 = 16266480, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14146083, Dl.E( ) = 72, 2.48e-05 seconds used appending s1 = 15020549, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14152469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152469, s2 = 12291792, int(edited[s2]) = 0 s1 = 14152469, s2 = 12291792, d1 = 11, d2 = 5 Dl.O(d1) = 241192685,240726865,240224085,239681489,239095296,266693517,266545589,235223766,234208881,233092127,231856976,230484874,228942938,227195607,225194765,222892629,220219410,217062593,213262108,208617186,202965195,196221704,188339656,179289817,169004697,157543054,145109130,131850796,118024767,259595267,76003067,63019685,51338775,51338774,41153642,32338446,24722291,18249141,12946197,8808270,5737899,3572936,2129696,1229107,1229106,2129695,2708449,2708446,2708604,2708600 Dl.O(d2) = 2263114,2263118,2263237,2263242,3778458,6039759,9223182,255668357,33282481,42262295,52647954,64547184,77729421,258445754,60570975,49172052,39246887,36897652,28400236,21179739,15219195,10498143,6922554,6922555,10498148,12670252,12670255,17281374,20291072,14560479,10019350,10019349,14560475,15036467,12651364,8589752,8589754,12651368,17865227,24240979,27182689,20260121,14536265,14536266,16522653,11949442,11949443,17034991,22719858,22719857,268140892,22464048,22464049,29831539,35173854,27085329,20186982,20186981,23651130,23651129,24465152,24465151,28901042,22726389,20957778,15048837,15048836,14925685,14925686,14927084,14926306,14926308,20824434,14926685,14926599,14926600,14924363,10262621,10262624,14924382,20822283,20832133,14933704,14933705,19465465,13930598,13930596,14933249,14933248,17245451,12127739,8159365,8159366,12127741,13605555,9316462,9316463,13605560,14607369,10051333,10051332,13318567,13318566,13785410,13785409,13598830,13598829,19049542,20968101,20968104,22195576,16066967,16066968,22195579,21885044,21885042,20889927,16134319,11207966,7436718,254217944,2831169,4699131,4699134,7436679,11207904,10377478,10377481,15051310,267877876,10377441,10389960,10389959,15066244,20977823,28157121,36631440,46498303,57854305,70555695,84092092,97965596,111902720,125720009,139058721,151760556,163635658,174471842,176849637,262285205,141863465,260650907,100585784,86620966,73021042,257578599,38970733,30384412,22982116,255126119,11699828,16744740,255953999,38970730,48890804,60284326,73021036,86620961,100585778,114620969,114620970,128509156,141863462,154507408,166237104,176849633,273730189,265013431,222252405,265580923,227561119,225618191,223384166,220799944,220799943,217765236,264330480,204301306,204301307,209700514,209700516,204301309,197827795,190229108,190229107,190229106,181429758,171410837,160193028,160193027,147944598,134824936,134824935,147944597,147944595,134824934,121027010,106773237,92467548,78431318,65149346,65149345,74240009,74240007,74240008,259501977,115865699,129765006,143095493,259552036,101819243,87845082,74240005,61460953,61460952,74240004,258303850,39966543,31291678,31291677,39966541,31883646,24356967,17962758,12729089,12729088,17962757,13355195,12729091,8649343,5625637,5625636,3567514,3567515,3686634,2208188,1282198,733106,417209,417205,733146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152469, s2 = 12291792, dlinesl.size( ) = 2 s1 = 14152469, s2 = 12291792, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14152469, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 14243343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14088737, s2 = 11225106, int(edited[s2]) = 0 s1 = 14088737, s2 = 11225106, d1 = 16, d2 = 23 Dl.O(d1) = 84763261,84763262,98690325,112684750,126547339,258753964,89583232,75800839,62836722,62836723,258959363,89583310,260202457,131681775,144930525,157344329,168783384,175346406,164584334,152749219,140059184,259937372,258691634,71369938,58633275,47239961,257455673 Dl.O(d2) = 98872176,112859809,112292338,269574472,84400661,98309940,107868529,93440806,258479483,43353186,34253155,26375926,19642497,19642498,26375927,34253157,43353190,53878206,65945683,79310046,79310045,93440794,107868515,93440797,79310047,65945678,53878202,53878201,65945675,79310042,93440792,107868512,122281767,122281763,122281762,130498093,130498092,116659372,102560441,102560440,116659369,130498088,116659374,102560442,102560443,116659375,130498099,143822398,143822396,143822397,156344380,167922563,178348243,187548877,187548875,187548874,187548873,178348240,178348239,263654015,202407696,208164446,212909877,215126564,210954730,205849769,205849767,199677609,192381347,183907635,174239350,174239349,262609500,138806319,125478753,272161043,125478754,261599788,111677531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14088737, s2 = 11225106, dlinesl.size( ) = 28 s1 = 10916964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057365, s2 = 15496859, int(edited[s2]) = 0 s1 = 14057365, s2 = 15496859, d1 = 46, d2 = 61 Dl.O(d1) = 256596992,42205178,258408483,91538602,105760817,119994212,105760816 Dl.O(d2) = 159676469,170991258,181096311,273374036,181096304,170991256,272887048,189959885,264368661,209542047,204111525,204111526,264263188,264796314,204111530,197602803,197602802,204111528,263950452,189959881,181096303,170991253,159676464,147328592,260077616,258836534,77965026,64770218,52850522,42446315,42446316,268973472,42446314,52850520,257606246,33074234,37325853,28789488,21525431,21525432,28789485,28789486,37325850,40728242,31981103,31981102,35062251,35062250,44436244,55280363,67618295,71363987,58627337,47507365,47507364,58886421,256814024,44436561,55280695,51057017,40915357,32137676,24556130,24556129,32137673,40915353,48579515,269353491,72708371,81083992,81084014,81084015,88341758,81083998,67618272,55280324,55280323,55280344,55280688,67618590,67618275,62687285,51057010,51057011,62687286,258528271,67618591,58169748,46802425,46802426,257604766,84441074,86574307,86574306,98350871,112334026,101761451,87788564,87788563,74337832,61560156,50079878,40058541,257071491,60241026,48847414,48847413,60241023,255530666,48847420,38927221,255977950,49271864,49271863,49271850,39345647,39345648,40058458,40058459,50079821,61560186,50079834,40058486,31376147,23879852,17534343,17534342,23879849,31376141,40058472,50079827,61560193,50079873,40058537,40058538,40058497,31376157,31376156,40058448,257024304,40058456,50079818,59864139,48472584,48472585,40058461,31376134,23879845,17534337,17534336,23879841,31376127,36537790,31228799,23745011,17419838,12277854,8291829,5349417,3287744,3287743,5349414,8291823,12277843,17419821,17419811,12277834,12277832,12277759,8291762,5349373,5349372,8291760,12277755,17419691,12277728,12277729,17419694,23744837,31228617,23745106,23745105,23744939,17419786,12277813,8291806,8291805,12277796,8291791,5349395,5349394,8291789,8291867,8291812,5349408,5349407,8291810,12277820,17419783,12277810,8291804,8291803,8291857,5349438,5349437,8291854,12277772,17419732,23744882,31228655,39905430,49924951,51948726,41642942,32734423,25045319,25045318,28749605,21490239,15484651,10707737,7073998,7073997,10707733,15484646,21490228,28749586,37283892,30529698,23111657,16853045,16853046,23111660,30529703,27093585,20194585,14489791,9969702,9969701,14489789,255080453,7412680,4683911,4683912,7412681,11172783,16086771,22218512,29564169,38129789,39915684,49933830,61412294,71362045,258690185,98865545,112853421,126705149,140052376,152742301,152301776,260618034,112336268,98353278,84443524,70886257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057365, s2 = 15496859, dlinesl.size( ) = 38 s1 = 10921825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14906613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10922096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074791, s2 = 15321853, int(edited[s2]) = 0 s1 = 14074791, s2 = 15321853, d1 = 0, d2 = 1 Dl.O(d1) = 59305263,59310462,255578392,65120895,256463424,33654240,255132448,13708773,13708772,11217162,11217165,16146186,22230765,255081205,7417774,267974091,16096260,22230763,29578378,34122803,26257430,19538683,13990249,13990248,256181033,43210139,53722025,65778792,65145821,53161538,42711942,33682026,25875840,19216831,19216830,24344219,31866953,40569112,50610701,62110006,72206659,268106604,48078444,42711934,33682018,25875825,255457754,29642179,29642178,38208695,38208718,48119123,48057790,38144611,29578373,29578375,38144615,48057795,43210155,34122797,26257426,26257425,34122793,43210145,53722035,65778804,79133629,79133612,65778789,258077847,47406070,37498540,28955864,28955863,37498536,259327963,269790087,47406091,37498560,37498558,47406089,58793299,71522630,270301084,59449206,256887012,43210147,43210146,53722038,65778806,79133630,93249120,99735142,99735143,106769620,92463911,92463912,106769623,121023536,260696294,99019710,85094531,71522623,271609200,85094537,71522628,257467129,37498556,268926517,58793294,258701749,71316734,258687733,98818090,112809345,99019720,99019719,271780237,140207310,126860291,126860290,140207306,140207318,271780235,113007965,99019714,85094535,71522625,71522624,85094532,259946873,126860296,140207317,152897767,272697662,152897771,152897770,160190015,260099146,121023546,121023545,134821572,126860301,126860302,140207327,261241693,261241695,154843732,164729174,175482699,262224076,142207907,128850020,128850021,260547291,113007962,126860293,140207315,152897769,271983518,126860298,113007967,260099144,121023543,270894140,147941314,160190014,261787743,260666645,259450821,73305066,73305067,86915613,100896458,113590874,261158079,262222773,152897765,152897764,164729169,160190012,160190011,272553226,127466911,270835720,269805380,72035024,85623515,99574220,261158081,140827001,127466914,127466913,140826999,272595956,140967881,261270024,153507572,165302624,261966444,262465836,185022582,261430386,152897775,140207329,126860304,113007976,271780239,140207331,152897777,164729180,175482702,185022584,273443950,193739817,185471872,175997592,175997593,185471874,193353207,185022577,273106593,262192301,273336167,264478955,265181811,224257706,226372944,265716678,226489686,224385557,221962776,219141495,215799790,211759141,206814233,273543518,185471857,272854620,261159656,140826983,153507562 Dl.O(d2) = 113620119,272205871,153529078,165321811,263141286,175997578,165302610,272205868,127466890,113590858,99574205,99574206,85781273,85781274,99735130,113590850,127466881,140826973,153507553,165302604,153507555,140826974,127493646,127493644,140851265,140851289,261158082,259980382,72067680,258738633,99605067,113620118,127493678,140851286,127618384,127618385,259982086,99574208,258115266,72035018,85623506,85623502,72035015,72035017,85623504,99574204,113590856,127466888,127618362,113749516,113749513,127466932,127618360,127466904,113590869,99574216,85623511,85623510,259980379,127466902,140826985,140827011,127466921,270835724,99574211,258115268,59298848,47904307,255887410,22096409,15987931,15987932,22096413,256381157,47904314,259362091,259982088,72035023,256925108,47904308,258113295,259980381,99574226,85623518,72035027,72035026,259362089,260067372,258826660,78358253,257015334,42643163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074791, s2 = 15321853, dlinesl.size( ) = 2 s1 = 14074791, s2 = 15321853, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14074791, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 14165499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10924419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15291977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10925287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10926759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16295625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16295625, s2 = 11649800, int(edited[s2]) = 0 s1 = 16295625, s2 = 11649800, d1 = 18, d2 = 21 Dl.O(d1) = 265044883,264711772,262142368 Dl.O(d2) = 258641738,40114337,40110653,31431221,23940064,17595917,12420124,254597267,5417236,8394581,12420126,268257321,257075747,261189023,270844506,258139932,38403671,29831483,29831484,29164791,21856048,15784401,10934907,269813444,29164782,37724654,257270672,256190334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16295625, s2 = 11649800, dlinesl.size( ) = 22 s1 = 10929245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14071473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14243461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14243461, s2 = 11659005, int(edited[s2]) = 0 s1 = 14243461, s2 = 11659005, d1 = 31, d2 = 27 Dl.O(d1) = 257305459,67588742,81056289,85051036,85051035,98976118,85051037,258526447,35034552,26954545,26954546,35034553,44409065,55256465,67597986,257663830,109376733,123567694,137299446,123567685,123567686,257080706,162475182,150340854,137299443,123567683,123567684,137299445,150340857,162475186,261262154,142843667,259350126,101601548,87634776,74031255,61251326,61251327,74031258,85032381,257386252,37435626,37435627,47342924,58730814,47342927,37435628,37435629,47342928,257386256,85032397,98957272,259865770,140150184,261600106,174226767,173646491,262324140,123735362,109543638,95288847,81231036,67765052,55425314,55425313,55425316,44578245,35200008,35200007,44578243,35201270,268340347,9979310,6559092,6559093,9979313,255336533,27111424,255412058,21244151,21244150,28466277,26581418,19778287,14166675,9739384,6404399,6404400,9739385,14166677,255724485,19865438,18961417,13525601,9256675,9256678,13525590,13525589,18961403,25570867,33330715,30820689,23392054,23392055,25771393,25771392,26735153,26735154,21455287,17279830,17279826,23591771,31075113,34164401,43254566,40356358,31661273,28942797,28902871,28902870,37442438,40783945,50900573,62500888,65539941,53515915,53515916,65539942,78875066,257684258,257181278,84103172,97977263,97977264,257770498,84103168,84103169,84107902,258385004,91973961,258219650,52924914,42514570,33514724,25735380,25735381,25655648,19036960,13588876,9304565,6094954,6094953,9304563,6120757,3829513,3829511,6120753,9344692,13646703,255684307,255684305,19114265,25752344,29409359,22078790,22078791,17885115,254875054,15318667,15318666,19004468,13563212,9286264,9286265,13563215,19004473,25618637,29799649,22433187,19107265,13642400,13642397,255669486,14554776,10014944,10014943,8592441,8592442,12655824,8603075,8592156,5582821,5582820,8592154,12655438,12363764,8354355,8354354,12363762,17529954,12652027,12652029,17866117,17866115,17866480,12652899,8590704,8590703,12652897,15949207,22052633,29382768,37947502,47865736,59261571,71997946,85584796,85584793,71997944,71997945,85584794,259981303,99592019,85641982,72054759,258737843,258737841,99592024,85641983,258682590,38013829,29451766,29451765,255716246,268039688,9461471,9500196,6231206,3901246,2336488,2336492,3900449,6229943,9457448,9500152,9149276,6370900,254958169,19646261,20454589,14677701,14654276,14654275,14618829,10058238,10058239,6679984,6611759,6611757,4182514,2500986,1443003,1443000,2499976,1442580,1442576,2500006,1452348,1452345,2520261,4153843,4153839,6635030,254989803,20475172,257346485,40321152,31632531,27554451,20531206,14728180,10127926,6650701,6650697,10058120,6664073,6664071,6611576,4182682,2501001,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011 Dl.O(d2) = 35649026,35649023,33614237,33614239,42640733,42640693,42640432,42640430,53089264,55539839,55539841,67895987,258546155,64643210,77828694,91754671,102360618,88363932,74735283,61940977,50449589,40415187,31723312,24216223,24216222,31723308,39398706,40415180,44515584,44515583,46658378,46658377,46658380,36773265,28277588,21073569,255806551,36773267,35338950,27214878,27214877,35338947,44765227,55674578,68073488,58483527,47105259,47105258,44765180,35338918,35338915,256762765,55674505,47105304,37208591,28684604,21434891,21434892,28684605,37208593,47105309,58483594,61618612,61618611,74397312,66925071,54668559,43926114,43926113,257574338,80351123,85513322,95596771,109798824,122958005,108692516,99459247,85513341,71925778,71925777,85513339,99459244,98703177,258480862,58483480,58483481,71205428,84774650,98703182,112699248,98703317,98703316,112699369,126563548,112699265,112699264,126563547,126827193,140176418,129508092,129508091,142824733,261813808,146690444,146690445,159056081,170392313,177552979,167046216,155405971,146690308,133441014,119574066,105339898,91118742,91118741,105339896,115623454,129508077,129507930,115623318,115623317,129507929,115623457,101583422,87616378,74012198,258859885,101583421,115623455,129508078,142824724,155405922,144258940,131020363,117222136,103106033,89035449,75307379,62409285,50827287,40723295,40723296,41040026,41040027,51195978,62845487,75809333,86676459,73071736,60331242,48933449,39009970,30420651,23015561,16775604,11728953,267984881,4970464,254248399,1743536,3002188,4970465,7830461,11728961,16775622,23015581,30420685,39010003,40460280,256455634,39011126,48934575,48933770,39010318,39009991,30420670,23015570,16775616,16775617,23015574,17876096,17876095,24253736,31765695,30420698,30420699,39010019,48933506,39010613,30421265,30421264,39010609,39009984,30420666,24253782,24253781,31765758,31660642,24150155,24150154,31660592,24150121,24150120,31660586,40355546,50390467,47980449,47980448,59370700,48933775,39010321,39010322,31765699,31765698,257101065,40355562,31660601,31660602,40355559,31660595,24150124,24150125,17876131,12659554,8595323,5584898,5584897,8595318,12659538,17876103,24253749,31765716,40460216,50496099,50390575,40355662,31660675,31660677,40355669,48265898,48265899,59652803,48265909,48265896,39835851,31153147,23665771,23665772,31153149,39835854,48934978,39011515,30422004,23016656,23016655,30421998,39011507,37349085,37349086,34210886,34210887,43309199,50390501,60054252,48657752,38736592,38736591,48657749,49139364,60539295,73283257,61880224,50390569,40460168,31765669,31765668,40460165,47510707,37606197,37606196,47510704,49139248,39212457,30615903,23195349,23195351,30615907,39212460,49139250,50908795,47445392,47445393,50909051,50909050,49139510,39212681,255968351,16927637,16927636,23195436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14243461, s2 = 11659005, dlinesl.size( ) = 2 s1 = 14243461, s2 = 11659005, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14243461, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 10931470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15125895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15125895, s2 = 10987492, int(edited[s2]) = 0 s1 = 15125895, s2 = 10987492, d1 = 10, d2 = 7 Dl.O(d1) = 101121920,115199673,258178008,142508274,142508272,129131167,115199672,101121919,87123919 Dl.O(d2) = 49353087,39423404,30818291,23389033,17117244,254126510,8086921,254101408,18423221,13086064,8917434,5819380,3630158,3630161,5819421,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917552,6011614,6011613,9185046,13004308,18320193,24808657,18789839,18789840,18420542,13083982,8915984,5818467,3629583,2167798,1254641,713576,713579,1254652,2167837,3629668,5818634,8916258,13084005,10254512,6738175,6738173,8967044,5853802,5853806,8967060,13155751,18161479,12879389,11183477,11183474,13566751,13566755,13543262,9271484,9271481,13140891,13083785,13083782,13583310,13147260,13147259,18504959,25038952,268732261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15125895, s2 = 10987492, dlinesl.size( ) = 12 s1 = 14035677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10931840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117473, s2 = 11349734, int(edited[s2]) = 0 s1 = 14117473, s2 = 11349734, d1 = 9, d2 = 6 Dl.O(d1) = 170645475,180780018,189676063,197357835,262846978,176251776,165574689,153793167,141120062,127762848,113887603,113887602,99868947,85913668,72320414,72320415,257740070,100281309,114212293,261200699,128100909,128100910,141466460,154136174,165900259,154136178,141466464 Dl.O(d2) = 260623627,100180074,86216324,72617850,72617851,86216326,100180081,114212299,128100921,114212311,100180087,86216330,72617853,72617852,86216328,100180085,114212307,128100928,141466472,141466466,141466465,262261439,261747757,272569173,141466468,260623629,100180074,100180076,86216329,72617853,72617852,86216328,100180084,114212305,114212301,100180082,100180083,114212303,128100922,272569173,141466468,260623629,100180074,86216324,72617850,72617851,86216326,100180081,114212299,128100921,128100916,114212295,100180080,100180081,114212299,128100921,114212311,100180087,86216330,72617853,72617852,86216328,100180085,114212307,128100928,141466472,141466466,141466465,154136179,141466474,128100924,128100923,141466472,141466466,128100912,114212294,100180074,86216324,72617850,72617851,86216326,100180081,114212299,128100919,114212309,272344532,154136188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117473, s2 = 11349734, dlinesl.size( ) = 2 s1 = 14117473, s2 = 11349734, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14117473, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 10933286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10934003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10934107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14034617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034617, s2 = 10934229, int(edited[s2]) = 0 s1 = 14034617, s2 = 10934229, d1 = 14, d2 = 2 Dl.O(d1) = 14183752,19801648,26609393,254866532,51331829,61372947,61372946,257088246,78673790,65369092,53365197,256240276,26032700,19355069 Dl.O(d2) = 2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909516,26751164,34446850,26519105,26519108,34458067,34358819,26464855,26464852,34358847,43488695,41557207,32665616,32665619,39546784,31008639,31008642,31643559,26779919,19928581,14273649,9808786,9808787,14273650,19928582,26779924,22628799,16442524,11456298,11456299,16442530,22628813,29997804,29997834,22628829,22628827,26108184,25430529,19418826,19418824,26111309,33947450,43003403,36567543,28096757,28096756,36567538,36566133,28095638,28095637,36566126,46430427,57785530,70485980,78048501,64851369,52925746,42515225,33515292,33515293,40240258,40240257,33845452,26025376,19348969,19348972,19934980,19934981,26789346,256733063,36566098,36566099,46430394,53354037,65356502,70485984,65356496,65356495,78659958,88601382,74959745,74959746,72423918,72423917,258366788,57787315,46432032,46432033,57787318,65356512,78659983,65503704,53481012,53481010,65503699,74519513,88131762,92946320,92946321,88131888,259523958,95323905,84020270,70485981,70485982,71222646,71222645,84020254,78659944,65356481,53354021,53354020,50259444,40240156,31554124,31554125,40240160,50259454,61737831,74519520,84022857,70488128,70488127,74519464,61738058,50259668,40240339,31554289,24050146,17696607,12516512,12516511,17696605,24050141,31554281,40239945,40239944,40240044,31554030,31554029,256046446,19427112,268260053,254864375,254409529,1984689,1984688,254409527,8479437,12516472,17696529,24050009,31554087,40240118,50259411,61737785,55453934,50259468,50259467,61737773,61737685,50259300,40240000,40239998,31554206,31554081,31554082,40240108,50259406,49092775,39162954,35224434,27130674,20225354,20225355,256230685,44605271,268538908,31554037,24049970,17696509,12516462,8479432,8479431,12516460,17696503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034617, s2 = 10934229, dlinesl.size( ) = 12 s1 = 10934230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14015603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14015603, s2 = 12274834, int(edited[s2]) = 0 s1 = 14015603, s2 = 12274834, d1 = 7, d2 = 8 Dl.O(d1) = 256916217 Dl.O(d2) = 76197,41355,41354,76193,139579,252731,449152,254151811,2410517,4023122,6413142,9753716,14188653,19808479,26617734,256722471,54618696,59207314,47808038,37884616,29315708,29315650,29315649,29315680,27268204,20332616,14592050,10040831,6598609,6598608,6160936,3854939,2309619,1339987,254114569,435288,254115641,1388272,2399233,4003760,6381519,9702370,14105465,255008393,10373775,15046683,20955488,268991832,44598192,255553056,20220145,20220144,27124331,35217333,38525481,35215972,35215973,39725137,39725135,49744486,44596495,35215618,27123010,20219315,14509067,9983859,9983858,14509059,20219303,27122984,35215584,42024537,256159928,46868205,256041470,21275735,21275734,256311259,46868204,58235952,50210835,40189001,38351324,38351325,39484121,30878514,30878513,39484119,49413949,60814161,59221457,59221456,65383004,60350879,51353176,51353175,256313976,268205686,30247592,22853121,22853120,27123200,27123198,35215869,42153511,42795375,42795374,38236954,29671674,22320392,16175297,16175299,22320397,29671683,29097628,29097629,37646370,37905809,255029032,71963689,256313988,269309856,256704200,53769241,43252992 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10936124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10936108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10936575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14017885, s2 = 11323892, int(edited[s2]) = 0 s1 = 14017885, s2 = 11323892, d1 = 17, d2 = 23 Dl.O(d1) = 64488,64260,64262,68556,126219,229060,407916,720591,1264359,2181494,2181493,3649148,5847476,8958622,255240015,25034227,32720854,41626816,51929450,63738734,76842239,90712654,104882364,119067930,132888796,146106988,158470688,169833196,180011171,188968988,196730146,203372988,208940193,213513700,217259803,218243328,214756860,210520251,210520252,210520254,205335346,264411875,264118112,199072258,191668585,183059180,173208184,162107969,162107970,173208186,272448864,122922568,122922567,136754337,136754338,136754344,136754343,149895799,150319845,259780918,137277722,137277721,137277577 Dl.O(d2) = 14810143,20533763,20533759,27558008,35816821,44891612,44891610,55825903,68257114,81782028,258994578,259147990,35871306,35871305,41666967,41666966,32758560,32758561,41671240,51980058,63795182,258602633,57180454,57180455,69818691,68460390,257340663,257942609,271203637,137918456,262105043,262075746,111015315,270652672,56923786,45732571,256733406,256256799,45732574,45315980,35749541,27516341,27516339,35749530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14017885, s2 = 11323892, dlinesl.size( ) = 20 s1 = 14114037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10937476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14061245, s2 = 14154679, int(edited[s2]) = 0 s1 = 14061245, s2 = 14154679, d1 = 20, d2 = 19 Dl.O(d1) = 40381752,40381753,50416246,61906758,74700387,88328163,260746875,143582508,156118759,167722930,178178351,187404187,195432050,195432049,195432048,202297673,208069512,212828617,216719404,219944348,274276804,219944368,216719421,264763598,264763596,273867446,208069519,202297684,195432057,187404193,187404194,195432059,187404195,178178361,167722936,156118763,156118762,167722935 Dl.O(d2) = 243014561,243315626,243597221,243858358,244101301,244327158,244206486,243972832,243721268,243449485,243157178,242845554,242510727,242150719,241762170,266990346,240887487,240887484,240397551,239869475,239297613,238676107,237998183,237253326,236435355,235538961,234554900,233474027,232283795,230965375,229494771,227839630,225955321,223795370,221303188,218393635,214930794,210721340,205568484,199338305,273500802,173622430,162595039,150469350,137431989,123701926,109510164,95255972,81199921,67735076,55395810,44548999,44548998,256226584,55392567,254980346,27079866,20182584,20182585,20184693,27081941,20184049,14481303,9963492,6548224,4102315,254473471,9963486,9963505,14481329,20182506,20182505,27079762,35167583,40308050,33117144,25381786,25381787,27080413,20183016,20183015,27080410,27081137,33241370,27082208,20184260,14481445,14481446,20088194,14402404,14402402,14480853,14480854,20183025,27079793,20182527,20182371,14480211,14480213,9963016,6547950,6547951,9963020,14480472,9963041,9963042,14480513,20182759,27080070,35167890,44545520,55274549,44428017,44428016,35167445,35167446,44545165,52409991,62510367,257221690,32035587,32035588,40792983,44433242,44433243,256665162,257862641,44548083,35170337,35170336,44548082,55395048,53884823,256707790,33117188,25381843,18797022,255660077,33117193,35167443,44430767,44430766,256901956,44433374,35058944,33117185,33117186,25949625,25949626,26973485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14061245, s2 = 14154679, dlinesl.size( ) = 8 s1 = 10937990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14018961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10942204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164565, s2 = 11344776, int(edited[s2]) = 0 s1 = 14164565, s2 = 11344776, d1 = 1, d2 = 1 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14164565, s2 = 11344776, dlinesl.size( ) = 2 s1 = 14164565, s2 = 11344776, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14164565, Dl.E( ) = 2, 1.19e-05 seconds used appending s1 = 10942464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074837, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14128233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10943986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10943986, s2 = 11015168, int(edited[s2]) = 0 s1 = 10943986, s2 = 11015168, d1 = 219, d2 = 135 Dl.O(d1) = 58631490,71368117,84944232,84944040,71367854,59770371,59770370,72504504,59770431,48387539,38484724,38484726,47237963,47237962,47238172,58631280,58631474,47238159,37328534,37328535,47238165,58631481,71367953,58631329,48387602,38484763,38484764,48387556,38484732,38484728,48387545,48387495,38484702,38484703,48387497,59770367,72504501,72504556,86103330,100068734,86103350,85173294,85173291,98870299,98870300,84944100,71368103,71367962,58631341,47238050,47238049,47237957,268616795,21526905,15514391,15514392,21526907,28791464,37328399,47237966,58631229,258690687,72504517,72504519,71368094,59770456,48387572,38484745,32410223,29924454,22564765,22564766,29924459,268949355,72504608,84985197,84985196,98910891,100642791,86669436,86669435,84944107,71367939,58631315,58631314,71367935,84944102,71367969,58631346,58631347,71367972,71367977,269346423,38484697,29924413,22564743,16384831,11403562,11403563,16384834,22564750,29924419,38484708,48387509,59770387,72504523,86103311,86103283,72504472,59770329,48387471,48387473,59770324,59770361,48387522,48387521,48387577,48387576,59770281,48387432,48387431,59770276,72504424,73064114,60323204,48924698,48924699,60323211,73064125,86669432,73064118,73064117,84944097,98870324,86103306,72504511,72504510,86103301,84944135,72504436,59770288,48387457,38484678,29924400,22564736,22564737,29924402,38484687,48387464,59770321,72504464,86103272,86103250,86103249,72504490,59770348,48387483,38484694,38484695,48387487,59770355,59770403,59770401,72504544,60323164,48924662,39000722,30411515,30411514,39000717,48924659,60323143,73064045,86669390 Dl.O(d2) = 7188897,7188898,10872968,15706394,21762162,29057292,37606189,35320611,27197208,27197207,35320607,44746349,55654303,256594722,55231738,55231737,55231814,256082868,44381684,55232035,46517678,46517680,55231762,55231761,46517663,36650485,28174768,20993426,15079461,10400980,10400982,15079465,17783087,24150185,31660706,30396147,30396148,37179238,28659909,22992513,16753802,12585819,8538190,5536137,3421536,2020786,2020787,3421541,5536152,8538212,12585868,17783162,24150272,31660830,30844451,30844449,30887073,23455071,23455072,25044900,267920258,28422525,21199648,21199647,20993444,15079475,10400991,6856264,6856262,8958529,13144155,17006670,11920134,7974556,5074684,3077315,3077316,5074688,7974569,9326827,9326828,13040089,8881706,8881709,13040100,10501390,10501373,6924542,6924543,9105524,13326475,15224024,15222786,15222789,21180682,15226092,10502775,6925420,6925417,10502767,15226081,21174733,18251969,255516923,16851423,23109879,255384779,15215502,21174929,21389707,15405422,15405421,21389705,255762586,26032686,19355088 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14032321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10944774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10944774, s2 = 11073946, int(edited[s2]) = 0 s1 = 10944774, s2 = 11073946, d1 = 11, d2 = 15 Dl.O(d1) = 111651675,125454186,260232586,140809660,259713152,165287163,261489454 Dl.O(d2) = 153490569,140809661,140809662,260924294,262972238,261934188,163367787,261934184,171848654,160661916,160661917,160661913,160661914,165287159,153490566,140809657,140809656,153490565,143538804,130212825,116378126,116378127,116378138,102288619,88295495,74670118,61878144,256296424,255379650,18472860,13123914,8944980,8944982,13123923,15126887,15126886,15574039,13422357,13422356,18839089,25434096,33177643,25658650,19039747,13591094,9306089,6095910,3813942,3813944,6095918,9306100,13591121,19039788,25658689,25658687,33426981,36452960,36756061,32188520,24600983,24600981,30764462,24601243,18153541,16933775,16933773,254886604,28260793,21059357,21059356,28260987,25073990,25073991,28261259,28261258,31592639,39003297,30414112,23009414,268125058,12087091,8128254,5207479,5207478,8128251,12087087,17189753,23470539,30905232,39513463,36756651,255805571,21059728,28261534,36756653,28993586,28993585,268301820,40391794,40391615,40391614,42436384,33443448,33443449,42436382,48235959,48235958,48927763,256064464,30415390,23010390,23010389,25673203,19051977,19051978,25673209,23010632,23010633,21470784,21470785,26227780,21958175,15865865,10996608,10996605,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,22658464,255014310,254995826,43915060,255357020,72019735,59282762,59282761,47886290,37967896,29403859,29403860,37967898,47886293,58729594,254947238,37434256,30713195,23296623,17036785,17036784,23296621,23542340,23542341,31023579,39700670,47281630,255631508,28695108,28695109,27211853,20283515,20283514,27211850,35336185,44762625,55227584,55227583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10944774, s2 = 11073946, dlinesl.size( ) = 14 s1 = 14077877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14077877, s2 = 11655792, int(edited[s2]) = 0 s1 = 14077877, s2 = 11655792, d1 = 11, d2 = 9 Dl.O(d1) = 62963232,51287827,51287826,268154932 Dl.O(d2) = 41107783,41107782,51287826,268154932,51287828,41107783,254306736,12922736,8790964,8790968,8917550,8917553,6011556,6011554,8777845,8917552,6011614,6011610,8777733,268275781,12826712,9770952,8980110,8980109,13173586,18540117,19422324,25616551,21464253,21464252,27221978,25277901,23236167,16963977,16963979,17853552,19042000,25661162,20350507,14607132,10051166,6604719,6604722,10051175,10351354,6816057,6816055,254714142,17950469,16523699,16523698,20346553,20908583,15003549,15003550,20908577,16963191,16963195,15887347,11013226,11013227,15887350,21983084,16554880,16554881,22768965,25879898,19220744,19220745,18045831,18045832,20340767,20340766,20344519,27280001,25262676,20344261,18045661,15006280,15006282,254713460,14902035,10246089,6732138,6732137,10246088,14902033,20794463,17854294,12644133,12644134,10265391,10265393,6792243,6792242,10323012,14991899,20895848,28066884,254485354,57744651,254711222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14077877, s2 = 11655792, dlinesl.size( ) = 2 s1 = 14077877, s2 = 11655792, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14077877, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10945715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10945715, s2 = 8463636, int(edited[s2]) = 0 s1 = 10945715, s2 = 8463636, d1 = 27, d2 = 59 Dl.O(d1) = 123794466,109607015,95355149,81299234,81299233,95355137,95355138,81299335,75631480,62686792,51056308,40914473,40914474,51056312,62686798,75631486,89392725,89392709,89392708,89392703,75631472,75631473,89392706,103486942,260398939,95153664,95153663,89392716,89392715,102504956,99304851,99304852,99542550,99542552,102504878,102504879,95355216,95355191,81299260,67833347,67833346,81299257,81299297,95355232,103486945,95355154,81299237,67833333,55491903,55491902,67833330,81299212,81299211,95355124,103486917,89392689,75631465,62686786,62686785,75631463,89392696,103486926,117617448,109606994,95355122,81299202,81299201,95355120,109606990,123794445,137516369,137516420,123794528,109607133,109607096,95355251,81299313,81299314,95355254,109607002,116609497,116609498,109607146,102504903,88496191,74859255,62060552,50567986,40531344,40531345,50567993,62060562,62060496,62060495,50567969,50567971,62060520,62060527,62060529,74859200,88496118,102504769,102504855,109607065,109607124,109606975,102504911,102504913,116609649,123794490,132156294,118341650,104184863,104184865,104740614,104740613,118933536,109606968,109606969,123794433,109606986,109606987,95355167,95355159,95355160,104740658,90566937,76698776,63608996 Dl.O(d2) = 137573548,150578124,162682837,173696594,183478464,175221073,164439875,164439874,173696597,173696598,183478463,173696593,262338294,261830454,162682838,272602466,162682846,162682847,162682844,150578130,261287686,173696602,183478473,184788696,175221071,263098489,192030303,192030304,263238286,183478468,183478463,173696593,262338294,150578128,137573550,123886109,260117976,261287686,173696602,183478473,184788696,175221071,263098489,192030303,192030304,263238286,183478468,183478463,173696593,262338294,150578128,150578129,137573554,123886111,109740771,258256158,68012279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10945715, s2 = 8463636, dlinesl.size( ) = 30 s1 = 14892109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14892109, s2 = 15157185, int(edited[s2]) = 0 s1 = 14892109, s2 = 15157185, d1 = 37, d2 = 4 Dl.O(d1) = 269365478,60421818,62160508,50651469,50651470,40601569,31892718,31892719,40601578,42978684,33925268,26092091,19402736,19402737,26092098,33925281,30491550,23078006,16825935,11766011,11766012,16825937,23077979,23077981,30491510,25730659,25730657,28947906,36648968,46516051,38596310,30023915,254834318,11468671,11468670,16459791,16330427,16330428,22504427,23856484,17513186,12349626,8343721,8343719,8241945,8241946,12211121,17337022,23654095,31141564,39008235,30418909,254814212,255520656,44552641,257043440,95258770,95258771,109512888,123704596,123704593,123704594,126578948,112714735,258673530,84791780,71223082,71223081,58501256,47122696,37224989,28699142,21447236,15450515,10682612,10682613,15450516,21447237,28699144,37224990,47122697,52424287,268743161,25392657,25392655,25392656,33129526,42079465,52424284,64281144,64281145,77433715 Dl.O(d2) = 101801876,257062368,255560086,36615505,36615506,46481904,57837931,70539771,84076728,270383570,139045384,151747862,152290301,139560324,139560323,152290300,152929579,140239739,126891935,113039190,99051105,85126356,71555881,71555880,85126355,99051103,111676142,114374131,114374132,125922650,112088305,112088304,125922649,260262320,151978710,163847574,174665476,184288829,192709042,199950211,206068743,211126840,215263426,218674939,218674940,221549925,218674937,264352074,211126823,211126822,215263411,215263421,218674935,264437626,211763760,211763759,215803923,219145429,221966657,221122904,218183189,214679333,210416784,205199384,205199386,210416786,205199394,198896626,191452113,191452112,198896625,205199390,264670507,205199393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14892109, s2 = 15157185, dlinesl.size( ) = 26 s1 = 14016283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11693436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080999, s2 = 14852169, int(edited[s2]) = 0 s1 = 14080999, s2 = 14852169, d1 = 30, d2 = 3 Dl.O(d1) = 70738638,58024521,58024520,70738637,60743402,60743400,57820344,48223462,48223463,59610315,72344622,85938438,81038663,67569764,67569765,71384560,84959355,71384565,71384566,71384568,58649348,47257499,47257500,58649328,71384541,59184335,59184334,71923445,71384537,58649324,58649325,58649309,47257472,37347997,37347996,47257470,55334050,55334051,67673404,67673389,55334035,44488128,44488129,35111002,35111004,44488136,55334043,53878389,49219923,39293299,30695790,23280473,17021650,17021649,23280470,30695783,39293290,257600735,43353398,34253383,34253382,34253369,26376162,26376161,34253367,39293297,38340780,34253371,26376163,26376164,29769490,22406229,16243462,11292865,7497723,7497725,11292870,16243469,22406241,22406257,22406258,29769517,38340812,48251492,59638664,67702883,55363093,44516871,35140245,35140246,28127357,20949464,15040662,10367945,6830399,6830400,10367948,15040666,20949469,28127366,28239224,28239225,36601026,268828857,28239300,21040709,15113124,10424445,10424446,15113126,15113084,10424421,6872874,6872873,10424419,15113081,21040665,255804019,21040683,28239274,36734091,36734090,36734088,28239260,21040675,15113091,15113090,21040672,28239255,28239234,21040659,21040658,28239231,28239253,28239252,32883244,41805775,52120955,46622307,36734112,36734111,46622305,57998320,63941443,63941442,77055382,90938060,87664477,87664476,98159284,112118479,115672646,115672650,101631765,87664503,87664502,94351307,258223928,258223926,101631753,87664479,74060784,61281512,61281513,61281515,61281516,74060786,87664480,94351308,101631769,87664501,87664489,80294776,66865376,66865375,66865394,80294797,87664493,74060794,61846352,61846353,54607398,43864448,34593747,34593748,31105242,31105243,39784253,49803399,54607390,54607389,43864454,34593752,26606595,19799371,14182053,9749485,9749484,14182050,268329501,34593740,43864435,54607377,47256584,37347164,37347165,47256587,256888397,28973651,28973650,35149183,27063377,27063378,35149185,44525740,35149189,35149190,255566860,67711672,58649289,257012822,47425130,55371895,47256591,37347166,37347167,46867235,47257215,37347743,28809281,268423392,28809549,28809550,28808342,21541030,15524774,10737027,7094005,7094006,10737032,15524791,21541050,28808373,37346624,47256059,38011247,38011246,268900808,37346660,37346658,33184151,33184150,33184156,29449028,29449027,38011253,47257019,37347559,256468340,37347746,37346633,28809207,21541642,15525177,10737263,7094118,7094119,4466608,2683466,254336683,7094172,10737339,15525321,21541864,28809515,31687801,31687799,40381652,37347214,31336644,31336643,36586587,268923613,58129423,46761334,256897124,46761357,46761352,36882939,28386490,28386489,36882938,46761350,58129425,58129426,46761356,36882943,36882944,256970300,36716070,36716074,46604228,57981345,57981358,70699237,257551182,57981344,70699219,84250974,72547160,72547159,72898998,72898997,86495398,100453922,88472727,74839095,74839094,88472722,100453872,100453871,114479012,102164460,88173649,88173650,74839099,62042003,50549964,50549965,62042008,74839107,88472742,260160121,114478999,100453861,259526264,128034255,114145272,114145270,128034248,128355652,141703395,128355692,114479060,100453918,86495395,72898994,72898992,86495390,100453909,114479049,116574388,102476276,102476275,100453867,258279690,72898967,86495362,100453871,114479012,102164460,88173649,88173650,74839099,74839100,259281847,74839090,62041998,62041997,72898995,72898996,86495397,88173650,74839099,74839100,259281847,74839090,62041998,50549959,50549957,62041995,74839083,88472712,87596879,73995987,73995988,87596880,101560313,100111639,86145579,86145578,100111635,114145257,128034236,128034270,114145293,112305977,112305978,114069420,114069419,260618551,140332896,126978273,113119644,113119645,126166726,115597374,101560309,258858937,61216888,61216886,73995981,87596874,101560263,87596852,87596851,101560261,115597327,115597378,101560316,87596882,87596883,101560318,115597382,129482298,141308930,128355641,114479003,114479002,112305989,98323070,86495407,72899002,60162209,48767963,38848217,30264424,30264425,38848221,48767968,60162193,72898966,86495360,86145572,86145573,100111623,114145241,112305970,98323056,98323055,87596839,73995954,73995953,72483171,72483173,72898986,60162203,49738250,49738248,61216873,73995955,87596841,88173656,88173655,101560268,87596859,87596862,101560278,115597346,114145256,114145257,128034236,128034270,114145293,112305977,112305976,100111662,86495417,84413393,84413394,74383369,61606756,61606757,270328156,61606761,50126757,50126756,61606759,74383373,87986195,87986196,101959306,270321974,269339702,46773604,36895383,28397897,255385005,15217657,21177734,28397902,268676009,23677546,23677545,17357353,12227487,12227485,17357349,23677542,31165706,32414154,24789073,24789074,20169220,14470627,9956276,9956277,14470629,20169223,25233750,32953555,35149083,44525640,55371808,55371812,44525649,35149092,27063277,27063276,35149090,38126743,38126742,31041755,31041756,23559241,17249557,12130840,8161743,5232050,3193046,1868896,1066083,1066081,1868893,3193041,5232043,8161733,12130820,255545017,268249807,17249583,17249575,12130851,8161750,5232055,5232056,8161752,12130854,17249580,23559164,17249494,12130798,12130797,15007893,15007894,20913031,28086157,36555182,36555178,28086156,28086154,28086167,28086168,36555187,33007913,33007914,41950134,47810712,50437904,47810713,47810714,52290842,64142870,255588732,70833432 Dl.O(d2) = 18884844,18884845,25488414,25488415,33237654,25488417,18884846,18884847,25488419,33237658,33237656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 14128509, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10949562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138671, s2 = 6651342, int(edited[s2]) = 0 s1 = 14138671, s2 = 6651342, d1 = 25, d2 = 24 Dl.O(d1) = 264767975,207079502 Dl.O(d2) = 256959051,29922631,22563160,16383541,11402505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138671, s2 = 6651342, dlinesl.size( ) = 18 s1 = 14045487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14016461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10951783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10951854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10951854, s2 = 16287745, int(edited[s2]) = 0 s1 = 10951854, s2 = 16287745, d1 = 1, d2 = 0 Dl.O(d1) = 261467106,125707144 Dl.O(d2) = 67615891,258183828,26974133,20087105,20087104,26974130,24820265,18329202,18329204,24820275,32457381,35053731,33756969,33756966,42787919,53239168,51516880,51516879,63230471,76245905,79335273,81125228,67658492,55318946,44473022,35096318,268827859,44548581,44548575,35170915,35170916,44548577,53239100,42787845,33756882,25949012,19284860,19284861,25949015,33756887,32697995,25015307,256098425,268550894,60239226,257917070,67658490,63230802,63201330,51492516,51492517,63201331,52912399,52912398,255750824,25949008,19284858,13786199,9452264,6196982,6196981,9452262,13786195,255489850,23405088,268034184,12039424,11072414,11072413,15954634,18092712,15937014,11058806,7332805,4632245,2790573,1618934,920824,519226,291151,291152,519229,920828,1618947,2790607,4632304,7332927,11059006,11058965,11058966,15937242,22039714,28316183,22071098,22068171,22038018,15935895,15935896,22038021,29301875,29301877,37871418,29402874,29402873,37966904,29622373,22271075,22271077,24000054,21170647,21170648,28389512,33303749,29304697,21977112,15882229,11009465,7288093,7288097,11009412,7574554,7574555,11399539,16379474,22557478,29625092,29304854,21977230,21977228,29304846,37873978,29662465,25013681,25013680,32696117,32319415,32319414,41133205,51316839,62995895,75978585,89757326,257778694,79334750,65971031,53904695,53904696,64205093,64205092,77352804,91272741,91272743,105494964,119733341,119733348,105494972,105494971,119733345,133606934,129053580,129053578,142427687,149553333,136288414,125414892,111616151,97697806,83840291,70315518,256517114,46280237,57624897,70315525,83840306,97697830,86952049,73340834,73340835,86952052,100935347,86952078,73340856,72222475,60596475,49195883,49195881,60596470,73341254,72222460,72222461,85815721,98661425,84731884,71161918,58439952,47064246,38185203,29617790,29617789,38185199,48096927,59485941,72222510,85815763,99769062,86334923,72737526,72737527,86334926,72737562,72737560,86334963,91974776,91974775,106172459,114989321,114989322,114327324,100296974,86334934,78869568,72737559,72737558,86334957,100296992,107392394,100935971,98661418,84731874,71161911,58439947,58439946,71161908,84731869,98661412,112657139,98661391,84731840,84731839,71161898,58439943,47064241,47064240,53507994,43028471,43028470,53507989,65533491,71275912,84849803,98776541,112766377,121777123,107392385,107392384,121777121,128210184,114327333,100296994,100296993,92578112,92578111,106897194,121164181,127782819,121164185,114327322,100296972,97782285,83923761,83923762,97782287,88321909,88321908,102317647,98776551,85934750,72340999,72340998,78869541,78869540,92981568,99889875,113908279,114747081,114747080,121777112,107392376,92981559,78869528,78869527,87145599,73526606,60778455,49377071,256747132,30844367,39448695,49377077,60620558,257312784,39487005,39487006,49416520,60816276,73562541,87145603,73526614,60778462,59267752,59267751,270316193,72003963,257458258,268923926,37953717,37953718,37953713,29388615,29388616,37953716,47872057,59267755,72003962,258219908,61343463,60816273,60816274,259470307,258921334,77749718,72003960,64567051,53924232,43398936,43398935,49220064,268661227,30695865,25537019,18925289,13491843,13491844,13491235,13491234,18924380,25535892,33297758,42279060,52666409,256650696,37811162,37811163,47733345,257206708,49220066,60620560,73365066,74127253,258413364,59131963,59131962,71870218,258413506,113397228,127255734,140601608,153281786,165095665,157634182,153281791,153281790,165095670,175821252,167164145,158641861,146270492,133040522,119210030,105018111,90839103,76959879,76959880,90839111,105018122,119210117,133040635,146270477,133040501,133040500,146270474,140270247,140270248,152960652,164790297,157634219,260812816,261919758,155648092,143096706,129766241,129766240,143096703,155648090,167279602,170002560,170002559,180170405,180170464,262448880,146270552,133040575,119210083,119210082,260247418,105018096,119210081,133040571,272873330,141297465,127937294,114056752,100029426,100029430,114056765,115760281,101713983,101713982,115760276,115769355,115769354,116592221,130434468,130434471,143761312,140270252,139523738,126148366,112288462,98306232,84397107,84397108,258653736,115760285,129658213,130434644,130434645,261279900,143761403,140283828,126936226,113083216,99096016,85174204,85174203,74847786,62049580,50557058,50557057,62049577,74847780,258247824,50557095,40520739,31823780,257106253,62049631,74847866,88483450,102490278,115777904,101732688,101732687,87833843,74228975,61449720,256004670,87833839,101807694,115853899,102490446,88483645,74847864,74847863,88483641,87760061,74155673,61375047,61375048,74155676,87760068,89784702,76007441,63024342,51343618,41158618,41158616,51343610,63024332,76007420,89784675,103886073,118028678,118028677,116592379,103886112,89784693,89784694,103886115,116592371,126148384,126148383,259494472,167261403,174960926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10951854, s2 = 16287745, dlinesl.size( ) = 2 s1 = 10951854, s2 = 16287745, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10951854, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 14055641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10952550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10952550, s2 = 1908503, int(edited[s2]) = 0 s1 = 10952550, s2 = 1908503, d1 = 8, d2 = 22 Dl.O(d1) = 257462771,71470992,67619927 Dl.O(d2) = 59063502,59063501,59063504,258717139,260543701,58741274,58741273,58741278,259323995,58741269,47353680,47353678,58741264,71470984,85042890,98967927,99335906,85392390,85392392,99335894,98967917,98967918,109397228,95143099,81085602,81085603,259785201,98967932,112957266,259785198,81085596,257908128,55281988,67619917,71470985,58741266,47353679,47353678,58741264,71470984,85042890,98967927,99335906,85392390,257908130,47663382,59063503,55281990,44437876,44437878,55281991,55282000,44437884,35063779,35063780,44437887,55282004,67619934,67619926,55281997,55281999,67619928,81085612,95143113,98967934,85042895,71470996,58741272,58741273,58741278,259323995,71470990,71470987,71470988,85042888,259323993,85392389,71804192,59063502,47663380,37741455,37741454,35063775,35063776,44437878,257908133,81085599,95143096,99335896,98967944,85042904,71471009,58741281,47353685,47353684,58741280,258697493,98967936,85042896,71470997,58741272,58741273,47353683,47353682,58741276,71470999,60666715,49266256,39340279,30741375,23320818,17055812,11964857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10952550, s2 = 1908503, dlinesl.size( ) = 20 s1 = 14115961, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14163863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14163863, s2 = 11657712, int(edited[s2]) = 0 s1 = 14163863, s2 = 11657712, d1 = 15, d2 = 13 Dl.O(d1) = 63251278,63251277,258836564,258086179,58913928,53135424,42684366,33654148,33654149,42684367,46688332,58061554,60269656,60583313,49183340,49183341,58089885,255953156,38564541,38564537,48477843,43354676,43354677,48306761,43354660,34254748,255717273,14079606,14079607,19643812,26377433,26377435,19643813,14079608,268043200,13169310,8976971,5860498,3658576,2188781,2188780,3658575,5860497,8976969,13169308,18534365,18534362,18534363,25077467,32774865,32774866,41691597,268429614,50600070,50600069,41881282,32947313,25228401,18660109,13268697,9053825,9053826,255245855,25228404,256623169,52210614,64049337,77186383,86549083,81185295,67720168,55380208,257916249,38893802,255949069,22908734,30308146,38893807,38893810,44533889,35157648,27071645,20176450,14476350,14476349,20176447,27071640,35157638,256633340,49320653,60722963,64589212,77771987,64589228,258415553,60267717,257198358,38955909,48875448,50572830,257107635,31838738,40536593,31838747,255598267,17932649,24319520,31838749,37224925,40536600,38737552,38737553,37224917,28699080,256327571,47122621,58501191,62065302,62065305,74864005,74864004,74864001,74864000,72633839,72633838,59891724,48497699,38582769,30010625,30010626,38582771,37107476,37107475,46992578,58362746,71079213,84641851,98564758,105882582,91675755,91675751,91675752,86156472,86156473,100122780,114156816,114156818,101729659,259259062,61372796,61372795,60055431,60055430,72793942,86389693,78674324,78674323,92737260,107076770,121373368,128125759,123705072,109513391,95259302,81203366,67738786,67738785,81203364,95259298,104469328,95593336,95593337,109795386,123931218,133936443,120094158,105882585,91675757,91675756,105882584,109745085,118649122,104469340,104469339,259613993,90321418,271507819,132483840,272564063,141307629,141307628,127947936,114068015,100041586,100041585,113580662,127456956,140817284,133580782,119705978,119705979,261473454,64624867,52724725,42337684,39529994,39529993,49463431,42691871,33661225,33661226,42691872,50534058,40498721,40498722,50534060,50534061,50534062,41238179,32412905,24787837,18305528,18305527,24787835,32412903,41156569,32341799,32341798,29434936,22102532,15992334,11101910,7362413,4650491,2801211,2801212,4650493,7362418,11101921,15992354,15747755,10906694,7213408,4544930,4544932,7213412,10906701,15747767,21809530,254830368,65946338,79310644,93441419,93441418,93441417,107869147,102701648,102701649,116794261,102701654,88692564,88692563,88692560,75041758,75041757,258930935,62218614,50698523,40639351,31923451,31923450,31923442,26015985,19341118,19341119,24358485,17989661,12750684,8665968,5637980,3504088,2082894,2082892,3504082,3504305,3504303,5638292,254882481,17990528,256056797,40639343,257698095,50698516,62218606,75041750,75041739,62218599,60530884,49130660,39203848,30607963,30607964,39203849,49130662,60530886,258947632,88615448,99369541,85428245,71842408,59103567,47705423,37784562,29222803,21907350,15826185,15826184,21907348,24471572,24471573,32034067,38944196,30358010,30358009,22956427,22956426,30358006,29222871,21907393,15826213,15826212,21907390,15826216,10967378,268079553,10967370,15826202,21907375,29222844,29222847 Dl.O(d2) = 37784609,47705479,37784607,29222845,29222844,29222847,29222846,256907407,47705478,37784607,37784606,47705477,59103606,59103593,257647111,257647109,74246893,72992419,72992418,86589788,75978163,75978162,62995508,62995509,75978168,75978166,62995492,51316456,51316455,62995489,62995488,62104123,50605464,40564413,31862745,31862746,40564414,50605467,62104129,74907643,71947288,59208528,59208527,71947285,85534969,85176342,85176343,87031489,87031488,101027836,115102030,123674913,109483337,95229661,85534957,71947283,59208522,47809405,37886241,257496317,257331626,99481308,109483338,99908512,85951022,85534960,81173635,81173634,85534973,85534972,90488035,258621092,65471588,53451880,53451881,53451867,42977829,33924480,33924479,42977826,53451861,65471576,71531874,85103067,95229667,95229668,81173639,259027021,77486415,64322473,52455259,52455260,58802794,47415585,47415586,58802796,71531876,71531884,58802805,47415593,47415592,58802803,64152922,52301068,52301067,58802793,47415585,47415586,58802796,71531876,71531884,58802802,58802803,58802804,47415593,37507762,28964338,28964335,21682280,21682281,28964336,37507760,47415588,58802798,257734880,80336509,94391416,91221563,77301491,77301492,91221564,105444008,105444009,119682861,105444018,91221572,77301496,77301495,91221570,91221574,77301497,259015519,105444021,119682868,119682870,133558222,146817003,159191944,159191945,159191950,159191949,159191946,159191811,159191812,170532670,170532664,159191802,146816891,133558128,119682786,105443937,91221443,77301332,77301331,91221441,77301330,64152694,64152693,52300794,41960128,41960129,52300795,64152695,77301326,259642871,77301323,64152686,64152683,52300786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14163863, s2 = 11657712, dlinesl.size( ) = 2 s1 = 14163863, s2 = 11657712, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14163863, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 14031509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14031509, s2 = 11120946, int(edited[s2]) = 0 s1 = 14031509, s2 = 11120946, d1 = 85, d2 = 83 Dl.O(d1) = 11149531,7395061,4671779,4671780,7395063,11149535,16057661,22184527,16057653,16057654,22184528,29526717,38090253,48001771,258119507,269449694,74276308,61499454,256074862,40002764,254891830,17495358,12335852,12335853,17495361,23454525,26439698,26439699,25612168,25612167,33377249,29603486,22253772,22253771,29603485,33040459,25312672,25312673,24287708,24287707,31802000,40497073,50532462,48083077,48083079,38171693,29604770,29604769,31232035,31232034,39908478,40810077,40810124,38606776,30033014,22658364,22658363,29047640,255632906,255262006,34313534 Dl.O(d2) = 254649368,24363297,17967886,12733167,8652433,5627853,5627852,8652432,12733164,17967883,24363294,31891157,40599980,50649851,62158938,74970459,88612458,102618888,99532485,85585641,71998808,71998807,85585640,258122110,78485299,65200829,53215043,42765276,33735211,25928163,19266167,268307589,13770685,13770684,11452908,255104219,22623635,16655239,11622835,7747298,7747299,11452943,16405826,16405825,22588351,29952129,30281505,30281506,38867059,38867224,30281640,30281641,31596783,40280935,50301118,42056420,33107266,25372121,25372122,33107269,42056424,42056405,33107258,33107257,42056403,52400371,49329830,49329829,49329828,49329830,39401706,30798472,30798471,39401705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14031509, s2 = 11120946, dlinesl.size( ) = 60 s1 = 14144841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144841, s2 = 15022596, int(edited[s2]) = 0 s1 = 14144841, s2 = 15022596, d1 = 125, d2 = 225 Dl.O(d1) = 230231508 Dl.O(d2) = 111734652,261052695,151575908,163458970,174306984,183969536,183969529,183969530,263463810,199724277,199724276,205888922,210987278,205888915,205888916,273840218,199724277,199724276,205888922,210987278,205888915,199724272,192435547,183969532,183969531,192435545,192435551,183969534,183969533,192435549,263826530,274080855,205888920,205888919,210987283,264704576,221473564,223948349,226091011,265684502,231052895,232360358,233542863,234617885,235597126,236489315,237303502,238044010,238717337,239179286,238546809,266702050,237097012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144841, s2 = 15022596, dlinesl.size( ) = 84 s1 = 14056841, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10959141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10959141, s2 = 13393628, int(edited[s2]) = 0 s1 = 10959141, s2 = 13393628, d1 = 4, d2 = 7 Dl.O(d1) = 1358532,774419,439721,248033,248029,439696,774359,1358398,2345044,3841974,6140424,9373719,9409402,9409398,9481759,9481762,9498381,9554279,9484521,9484523,6319664,3961631,3961627,6319652,9619995,9481990,6217456,3891512,3891515,6217464,6272959,6377928,6377931,9377519,6267219,3924027,3924029,6267224,6141241,6141242,9320595,9561930,6274277,3928484,2351862,2351859,2345609,2345610,2351986,2351985,3928672,6274502,6274364,3928586,2351932,1362453,776544,776540,1341660,1341661,1362526,1362522 Dl.O(d2) = 2312828,2321681,2321686,2346969,3920721,6262515,9544982,13907761,13907769,19436487,26131661,33970406,33075086,33075085,42019170,39391501,34250422,34250423,42019174,33075088,25344975,18764166,18764168,25344977,33075089,42019175,268976661,30881166,23449945,17173540,12074971,12074970,14386678,9892217,6500319,4073159,2437224,2437225,4073165,6500337,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533746,7196378,7196468,7374872,4659181,2807027,2807028,4538023,2727703,2727702,4538027,7202962,268077419,9871603,9871602,9883733,6493875,4069061,4069060,6493873,7194146,4532220,2724342,2724341,4532216,4531670,2724597,1578793,897618,897622,1578804,1628431,925967,925966,1628429,2807029,4659183,7374874,11118861,14615589,20362268,17666418,17666419,24014037,31514788,40201145,50223417,61705250,74488366,88100764,102087779,116145492,128805341,142159922,142159921,130054539,128805337,114908203,100857589,100857590,114908205,128805340,140968984,261167211,113750971,99736860,85783164,72189120,59451222,48059987,38147050,36991083,36991082,46869760,58237477,70954586,84518194,72704300,72704299,84518191,70954584,70954585,84518193,260511107,261641477,128196144,260062788,86320849,72723419,59985953,48594025,38677600,30100043,22718029,16513198,11507916,11507917,16513200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10959141, s2 = 13393628, dlinesl.size( ) = 8 s1 = 14020021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14200273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14200273, s2 = 14330380, int(edited[s2]) = 0 s1 = 14200273, s2 = 14330380, d1 = 17, d2 = 51 Dl.O(d1) = 270531490 Dl.O(d2) = 38556223,48468920,59859920,257193912,51648515,41407895,32549790,32549789,41407894,51648514,59031475,47629373,37707160,29147007,29147006,21839088,15769521,15769520,21839086,16774256,16774257,21839836,15770169,11965186,11965187,17056325,17056921,17056656,15774769,15774771,21844928,23321746,17056518,11965345,8009496,5098733,3094713,1808172,254130363,325444,179714,98823,54628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14200273, s2 = 14330380, dlinesl.size( ) = 2 s1 = 14200273, s2 = 14330380, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14200273, Dl.E( ) = 52, 3e-05 seconds used appending s1 = 10963551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10964891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10965100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101821, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10966438, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14027783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14027783, s2 = 14162746, int(edited[s2]) = 0 s1 = 14027783, s2 = 14162746, d1 = 16, d2 = 21 Dl.O(d1) = 1773653,1011000,1011001,1773656,3045363,5030761,7913705,11841393,11841394,16919756,11841391,11841392,16919758,23185703,30604770,30604766,23185701,17464100,12312060,255171869,23796436,30602905,23184076,23184077,16918561,11840583,11840582,16918559,23184074,30602904,37839680,29273401,28180609,20998161,15082990,10403399,6857797,4303792,2573172,2573171,4303789,6857787,10403383,15082959,20998117,21632481,28906609,37445842,29827512,22460187,16292324,11335411,11335410,16292322,255386766,21788654,15730348,10893642,7204405,4538866,4538868,6483293,4062588,4062587,6483291,7146409,254338749,1566801,1566800,2703958,4500014,7146401,10813965,15627533,21663198,23600529,20076257,14393808,9900069,6506808,6506809,9888854,6497666,6497668,6487725,4534693,4094758,4094759,6535280,9943350,14452747,12617837,8565081,5561494,3445764,3445765,5561497,8565087,10883459,10813443,10813444,7194982,4532762,2724719,1578861,897654,506448,506443,897630,506465,506467,897714,1578984,2724942,4533124,7195434,10882586,10883866,15720510,15627661,10895767,7206260,4540148,2728895,1580983,898716,898714,1580979,2728883,4540128,7206229,10812649,8306927,8306924,11395286,7571318,7571320,10814299,15627901,11589633,7714560,7714557,6492960,4068459,2434506,1407930,801082,801085,1407942 Dl.O(d2) = 6011553,8777850,8917574,8934999,8934996,13110010,18454643,24717967,19619386,19619390,25078174,25180637,25726604,29985825,29985823,24973315,18453170,18453174,24973327,28182118,28182116,31877895,24636764,24636766,19575273,14023178,9639796,6336997,6336996,9639792,14023163,18261870,24735017,20811727,20811725,16100710,16100708,13230989,13230987,12904010,8777908,8777910,12904019,13433787,9184713,6011514,3759870,3759871,6011554,8777845,8917551,6011598,6011595,9185014,9337793,254459918,25732533,33511678,30919326,23482188,23482187,23482189,17198950,12094213,12094212,8133416,5210938,5210937,8133414,6810075,4271264,4271267,6788831,6788830,10319109,6823370,4280561,4280564,6823383,10324768,10277538,6754373,6754372,4257616,4257615,6790879,4265217,4265218,6780867,6780865,6759255,4268795,4268796,2569207,2569208,4232843,4232845,2537521,2537519,4244016,5377568,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,4280679,6823491,6823490,10359652,14988424,14963455,10295869,10295868,6790640,6790638,6782647,6782648,6782671,5380490,5380489,6809967,6799937,6799936,6800166,5940071,5940072,3715755,3715753,5942345,9084911,5942451,3715820,2225085,1290629,736741,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483883,1293323,738101,419497,419496,738095,1293308,2230151,3724779,5956079,8388811,5413227,5413229,8388814,9082940,8477784,5480019,4309112,2576619,1483978,1483977,2566266,2566267,4292302,6840790,10303273,10303748,10987482,10355867,10282091,6757923,4234786,4234785,6757918,9058382,7273218,4586797,2759513,1599676,1599677,2759517,4586808,7273250,9652285,9652287,10988511,10988512,10315133,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,597086,1061988,1860964,3179176,5210941,254831249,17198954,23482190,30919327,39529657,49463098,60866152,73616443,71380432,58644594,47251833,47251832,47251836,47251835,48539464,59932374,72672006,86271867,100236961,114268923,128153634,141512764,154176836,261791129,128904019,115001935,100947862,86963914,73352412,60607452,49207024,49207023,60607450,73352409,86963911,98799839,84871162,71296787,58564805,47175956,47175957,58564806,71296789,72534375,59799087,48414089,38508119,29944257,29944258,30270640,38855045,47422452,46869174,39261117,31080100,23596701,17284512,15649846,15649845,21689246,15649833,15649832,21689243,28971271,29812484,22445115,22445116,29812485,38384914,48295165,258142605,86012856,99972331,113996072,127874614,141234064,153905924,165682041,273355703,194030084,262948504,184330350,174713224,163901895,152037574,139330357,125978487,112141438,98178947,84283017,70731072,58015905,46642311,36756791,32145924,32145925,34270617,31034846,24563181,18123792,12851260,12851259,18123791,24563176,32145968,40923429,35039267,26959453,20075792,14393349,14393350,20075795,26959458,28536775,28428400,28428401,26959445,26959446,28242632,21043666,15115494,10426152,6874089,6874094,10426163,15115511,10433794,6878532,4317749,4317748,4317732,4317704,4317645,4317643,6878349,6878404,6878405,10433585,15127078,21059522,28261258,31592640,40276965,32088588,32088584,36752335,28257393,21056511,15124909,10432181,10432176,15124832,10432131,8700141,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059436,28261121,36755389,28260305,255609710,33443519,33443518,39003507,48927522,50907162,62507599,75426570,63813965,52841596,42436774,33443867,33443868,42436776,268376118,28784763,37320881,32776044,32776047,31698898,24190776,17821745,12618143,8565246,8565245,12618134,10726203,10726204,15509437,16237997,11289090,7495259,7495258,6810651,4271657,4271655,6810645,9206881,9206884,9206993,13463429,13463427,16859998,23119746,28716314,37247221,47152524,58540904,71272544,84846442,98773280,112763138,126618588,139972678,152671345,157102337,144701242,260050750,117671286,103539153,89443450,75680518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027783, s2 = 14162746, dlinesl.size( ) = 8 s1 = 14162745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14162745, s2 = 14027784, int(edited[s2]) = 0 s1 = 14162745, s2 = 14027784, d1 = 12, d2 = 3 Dl.O(d1) = 28733854,21476440,15473876,10700332,7069357,4450899,4450898,7069352,4737747,2855435,1657199,942954,531826,531830,942965,1657223,2855487,4737856,7494969,11288600,16237279,22398023,17252587,17252586,15120530,15120534,10431244,10431242,15123530,21054773,21050439,15120323,15120320,21050435,28250845,268376119,15120509,10429322,6875940,6875941,10429324,15120514,21050668,28251132,36746648,32086381,24512679,24512678,28546830,255609711,18084333,18083901,18080658,12818556,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120849,21051127,28251628,28251950,21051423,21051424,21051431,21051432,28251970,36428165,27969498,24511581,24511580,32085457,40854317,44394526,36934833,36934832,36512326,36512325,36751014,32087331,24513762,18083856,12820626,8716688,8716689,12820630,18083862,24512044,24513568,24513569,25704793,25704794,33478152,42471710,52875576,64794585,77988244,91912002,106106603,120306490,134136689,147348392,262948505,181115690,273355702,165217467,153414673,140732934,127376817,113506775,99495590,85548919,258142604,47825237,37903561,29334903,29334904,37903562,47825228,41199584,34007753,26166125,26166126,34007756,43065489,34683413,26689211,19870044,19870043,26689208,34683405,29334590,29334589,24217153,17846732,17846731,24217151,31724130,40415984,50450387,52268154,41929323,32988832,32988831,41929322,52268152,64117212,71772953,59030472,52020511,52020512,59030473,71772954,85362564,99307426,113310965,127170819,140517622,153200672,261791128,167291508,155659661,143108023,129777488,115878106,101831425,87856803,74252299,61474164,52010711,52010712,52010709,52010710,63826433,76934071,90810307,104988157,104987217,90809398,76933135,63825393,52009487,254831248,25083956,18539843,13173372,8980016,5862900,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266402,14929646,20828264,16297135,11339020,11339022,7915086,7915087,10264554,10264553,14927286,20825567,16903650,11829727,10021417,10021415,12934030,16554994,11538999,11539000,7999238,7999239,11949304,17034782,16296949,15593171,11338871,7535108,4766554,2873346,1667627,1667628,2873352,4766567,7535144,11338924,16296972,22465177,17665348,12491814,12491815,11515076,7659879,4846420,4846421,7659885,11515091,16517121,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524659,17555589,22719103,16514113,11508660,11270203,7481394,7481397,11270215,15249992,10520532,10520533,10274486,10274487,11515496,7660130,7660131,11515500,15050190,10954713,7250493,7250496,7657901,9909091,6512696,6512698,9909095,14406714,11571457,7702218,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826815,6116294,3826801,3826803,6116301,9337714,12477927,15591190,15600374,11207954,11207953,11400641,11400643,12338169,17498486,15049171,15049170,11270696,7481699,6837803,6837802,6356143,3987990,2390090,2390087,3987976,6356124,9665949,14056808,19615958,17092242,17092241,17483527,17483526,23818575,31305751,39980878,39980879,43172459,43172461,34089137,26227895,19512662,13967182,9590551,254459919,3917253,2361640,1367800,779068,441961,441964,771652,438350,438349,441930,778991,786656,1382814,2388763,3658848,5860893,6159082,3853830,2308942,2308944,3853836,2394708,1385810,788166,788165,1385806,1337268,1337269,2304415,3845747,3857585,3857587,3983753,2387599,1382179,1382181,2387607,3983772,3996361,3996363,6300506,3947830,2363950,2363953,2396392,1386836,1386833,2330641,3892595,2364009,1368783,1368786,2334004,1352776,771651,438370,438368,441963,779076,1349151,1349147,1367043,2361065,3943981,6201007,6201008,4007263,4007261,6386045,9707968,9707967,9707966,14111895,19683555,26420184,28430947,21207051,21207049,28430944,36929622,29129992,22094898,15986834 Dl.O(d2) = 9868261,6482429,4062043,4062047,6482440,9868278,9867538,9867536,14360448,20046084,16104186,11186126,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224722,15727500,15727502,21786011,20071438,20071435,26955543,20075688,14393248,14393246,17943205,17943203,23355250,23358372,22093331,22093333,20075952,20075955,26959626,30441008,25053905,25053906,20040274,14355762,14355761,20040271,26925529,35007367,26954014,26954013,30192548,22802345,22802346,30192550,38776436,35033692,26953509,20069106,14385372,14385371,20069103,21823245,15756330,15756332,21823247,29130231,23034287,23034288,30441144,26933491,20047197,20047196,26933489,28421558,28941907,30199555,38783867,254338748,29130294,21823287,21823284,21589395,21589393,18589799,13210377,13210378,18589791,21198834,15234282,255386767,12316539,12316538,17469777,23802752,31288966,36695614,36695613,28205045,21012748,15091757,10408711,6861238,4306058,2574711,1482740,1482741,2574714,4306068,6861255,10408741,13424683,9178556,6007492,6007491,9178555,13424681,18842561,25438850,33184127,42143597,52502003,52502002,47256702,47256703,255171868,28809296,37347762,47257227,46870298,36991573,36991574,46870301,37517284,37517283,47425101,37517285,33184111,28973629,21691199,15651240,10833103,7161087,7161086,10833100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14162745, s2 = 14027784, dlinesl.size( ) = 8 s1 = 10967779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10969559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113617, s2 = 11648744, int(edited[s2]) = 0 s1 = 14113617, s2 = 11648744, d1 = 25, d2 = 9 Dl.O(d1) = 256266168,255355864,64191135,52341140,254702818,66898948,255355858,34626194,26636424,26636425,34626195,43898384,54641549,66898949,80326503,94381676,108668795,95597612,258280642,68074438,68074437,81564171,95597611,109799585,123935491,133521503,119648131,105410921,91188666,77269202,64121896,52272767,41933905,32993176,255381594,18697236,18697235,25269076,32993175,41933902,52272766,270507289,99499924,99499922,99499923,85622269,72033770,72033771,72033773,72033772,85622272,99572920,113589525,272092585,95192699,81134948,67668526,67668525,81134946,95192698,109448126,123641025,137372876,150413526,159445564,159445565,147069945,133824731,119957051,105721277,91496841,77565665,258912578,257680810,33204744,25457555,18858278,13436265,13436266,18858281,25457563,33204758,39266164,30670354,30670351,31713275,257097435,42164930,52523331,258405097,59508654,48121191,38210756,29643971,22291960,16147409,255462145,7443512,4703167,2833347,2833346,4703164,7443511,6850467,4298877,2570189,2570190,4298882,6850470,10393276,14929934,14929935,10395032,254488425,4299948,4253213,4253214,4285740,4285741,6759833,8599391,12298957,8306465,6815990,4275237,2556039,2556040,4275240,2556721,1472642,832870,469619,264031,146177,80349,80350,146180,264005,469554,832710,1472300,2556096,4275338,6779485,10308036,6821917,6821915,6822440,6822441,10310674,10311237,10307306,10307304,14975017,13275294,10333295,6801284,6761145,6761144,9085650,10339025,6815852,4275132,4275131,4285085,6830135,10363155,10363156,8336800,8136463,6866189,4309274,4309273,6866184,6758771,4235320,2532200,2532199,4235313,6758754,6842306,6842304,7774991,9086113,5943314,4291738,2565921,1477490,835326,835323,1477482,2565905,4291703,6839901,8144427,8144428,6748415,5922067,3703069,3703067,2539952,2539949,4248476,5956036,5956037,6865340,6865339,6774657,6346680,6346676,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,5951918,9097204,9097282,9097280,10280645,6756787,5584843,3464950,2054773,1178865,1178863,2054764,3395249,3395251,3327507,3327511,4703140,2833333,1643739,934657,526730,526733,934660,1643748,2833349,4703170,7443515,9741549,6405621,6405622,9741618,268167843,18285394,18285298,12978427,12978428,18285300,22137390,29473964,38036880,32382589,32382590,32382168,32382167,256914471,41202212,34575069,26588056,26588055,34575068,257146716,41202153,41202707,38639068,30064513,30064512,26588380,24762032,18285312,12978433,8834584,5756869,3584928,3584927,5756867,8834581,8790632,8790634,12922284,18218720,24685416,32296571,32382028,24762009,24762008,24762307,256594415,34575530,26588395,26588396,268811827,34937598,34937597,41202691,41202690,41202571,32382428,24762291,24762290,32382426,41202568,51395268,63087177,76087700,89888636,271494171,95120745,81063185,81063186,73526481,60778294,49376870,39448503,39448505,49376867,49376868,46882052,37003285,268305420,50467222,50467223,49161913,42802711,33770868,25961709,25961710,30250721,38834386,39447476,30843089,30843088,29924858,22565111,22565110,29924855,38485254,30844195,23414209,19540860,13991978,9612085,9612084,11279547,16225927,22383847,255752329,20204189,27104272,35193391,44571427,38406172,29834350,22467640,16299598,16299599,22467643,29834352,23891445,23891446,31387879,38941295,48860808,59703760,59703761,72439976,86038133,258899586,127907683,261186698,152587202,139877742,126512214,112647721,258766212,71151390,71151389,84721075,258766210,126512209,127545309,113674732,113674733,99669822,85722248,85722247,99669820 Dl.O(d2) = 99510119,113521706,102490991,102490990,116592911,130435140,143761924,156286786,270406712,260161252,116592886,130435110,143761902,141646647,141646649,128453777,114570440,100540191,86579425,86579424,86579416,86579417,259431601,86579423,100540190,260631430,270337380,269354484,74383349,61606737,50126716,50126714,54676667,43933913,34660292,29085461,29085462,256014978,48056496,48056497,59448146,50509666,43372978,34274222,26399303,26399305,34274223,40181292,31496638,23999296,23999297,255097308,11477361,11477362,15251556,11477385,7633804,7633801,11477378,16472726,15446823,15446825,21442464,21442393,21442390,15560226,10762748,10762749,15446810,15446714,10679702,7054614,7054615,10679708,15446790,21442428,28693387,26943856,26943857,35024644,30043547,28693632,21442523,21442524,22604284,16421277,11437403,7605124,7605122,11437397,16421267,21442628,21442629,28693763,22534636,16360999,16361001,11480671,11480669,16477614,22674186,30043538,22668188,16472731,11477374,11477373,16472728,21442398,21442397,21442518,28693545,37218557,33862749,268311151,13849461,13849463,19362446,22674163,21442387,15446781,15446782,21442420,28693477,37218573,30049755,28693609,21442506,15446848,10679737,10679736,15446844,21442497,21442569,15446886,15446887,10679757,10679756,15446892,21442579,28693702,37218845,38617420,37218760,37218759,47116121,58494508,58494264,47115898,47115899,37218817,28693684,21442561,15446881,10679751,10679752,15446883,15446873,15446872,21442544,28693589,28693590,37218728,37218232,28693217,28693216,30049762,30049761,38623510,48538247,59931204,72670948,84785324,258057960,256867812,37218888,28693738,268614391,47116253,37218899,37218898,47116254,47115519,47115518,58493857,58494452,71216364,84785297,84785370,71216478,71216479,270292918,71216353,258682277,71216490,84785384,98713161,259309027,71216069,71216068,84784989,71216009,58494101,47115728,37218408,37218409,47115730,58494106,58494546,58494547,71215682,58493778,58493776,64387395,52513738,52513740,42155812,42155811,52513748,58175860,46808469,46808470,58175862,258025720,46808464,46808463,58175847,58175852,70890069,84447231,77555552,64387363,52513711,256643635,33196410,42155782,257789057,259031295,77555605,64387412,52513754,46808512,36930172,28431503,21207582,21207581,28431499,36930166,46808499,58175904,58391601,58391600,58175854,58175853,70890072,65780116,65780115,64387352,52513698,52513697,64387348,77555537,70399214,64387361,52513705,46355881,46355882,57705192,64387303,57705243,46355922,36497906,28035035,28035036,36497908,46355924,52513766,42155822,42155823,52513769,64387424,71215710,58493792,47115474,47115475,58493795,63539351,58493876,52513690,46808509,46808508,47005870,58175893,58175894,70890111,70399215,70399216,83925320,97783932,98356904,98712813,84784790,71215703,58493787,58493786,64398207,64398208,77566521,70399248,57705202,46355888,36497895,28035030,20867235,20867234,28035029,36497891,46355871,53723552,53723551,65780133,57705194,46355883,46355886,57705198,70399243,59139583,59139584,258724097,99403274,271792945,139575453,126200135,112339597,112339598,98712795,98712794,112708312,116489843,130325290,125512310,111706109,111706110,98712785,85959392,85959393,93250093,79134796,79134793,83925338,70399226,57705177,57705179,70399232,257748504,84088581,84088582,76618761,63539210,63539179,63539180,76618725,257160918,59630104,72364541,85959396,91054717,105265493,112993656,104640588,90477046,90477044,104640584,118820739,112993660,258680428,71506872,58777581,58777580,71506871,85078931,85078933,257160912,256094160,88005807,88005835,74400304,74400303,84784926,269961688,76618740,76618464,63538849,63538850,257160976,104640481,90476939,90476940,104640524,118820706,256607422,90476873,76618461,76618460,88005858,74400328,256094154,51760294,41490186,41490187,256094134,63538920,51760192,41489743,41489744,51760194,63538922,64017309,77149090,76618452,63538841,51760078,41489607,32610146,24945732,24945734,32610149,32610388,24945890,256094149,24945885,18431347,13091939,8921593,8921592,13091934,18431340,18431511,24946104,32610626,41490159,51760041,51760040,63538803,63538794,51760037,51760036,63538790,63538940,63538941,51760726,41490262,32610728,32610727,41490257,51760714,52155213,41835603,32909574,32909577,41835607,41835639,32909596,25197581,25197582,32909602,41835642,52155267,63981545,55743628,44835801,35410602,27285482,20350334,14606979,14606980,268065192,35410616,32610371,32610340,24945855,18431333,13091930,13091929,18431330,24945850,32610332,41489755,41489761,41489762,51760210,63538936,63538734,63538733,51760219,41489769,41489768,50139871,50139869,41490251,41490250,51760703,51735610,41466758,35410595,35410594,44835790,41466665,41466666,51735468,63513010,51759896,51759895,63538656,76618294,90449078,90449074,76591854,63538648,51760251,41489797,41489796,41466744,41466745,51735595,63513191,63539420,51760688,51735437,41466649,41466648,51735432,63512958,51735547,41466716,32589796,24928338,18417274,13081361,13081362,18417277,24928341,32589802,41466725,41466752,51735606,63513204,63513040,51759953,51759952,63538717,76591809,76591835,90449064,258639158,85493711,76591709,76591710,90448983,90476920,90476919,104611137,90449028,76591872,76591647,76591646,63513001,63513002,76591698,77748207,90448973,76591684,63512989,52664326,52664325,64565140,77748078,90449008,76591738,63513050,51735494,41466682,32589776,24928327,18417268,18417269,24928329,32589778,41466684,51735499,63513023,51735473,42276983,257206381,51735561,51735560,63513154,257748466,52664441,52664442,64565258,77748139,91675346,104611139,118788972,271508880,90448985,76591715,63513013,63513015,64565357,64565350,64565349,77748209,91675385,104611124,90449068,76591840,76591839,77748075,77748117,77748116,91675340,77748203,77748202,77747976,77747977,76591826,270486389,104611132,91675264,77747957,77747956,77747981,64565385,52664559,52664539,42277181,42277182,52664544,52664430,42277110,42277111,42277075,33295937,25534324,25534323,25534258,18923101,18923102,25534261,33295837,42276945,52664176,64564978,77747953,76591665,76591664,90448960,77748066,64565128,52664309,42277023,42277022,52664306,52664188,42276950,42276949,52664182,52664527,42277174,42277173,52664524,64565344,77748199,77748158,64565285,52664471,42277142,42277140,52664195,42277196,33295982,25534351,18923150,18923151,25534353,33295986,33295930,25534317,18923131,13490333,13490334,18923133,25534319,256650421,52664438,64565252,64565150,64565149,64565379,269999155,258413177,271045569,77747940,64564968,52664167,257797447,270155288,64565279,259040147,64565088,64565087,52664397,256650419,33295913,42277090,52664400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113617, s2 = 11648744, dlinesl.size( ) = 8 s1 = 14017907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14017907, s2 = 13987790, int(edited[s2]) = 0 s1 = 14017907, s2 = 13987790, d1 = 5, d2 = 12 Dl.O(d1) = 254097205,846182,1493855,2586007,4323000,254332746,6874202,4315307,2586758,2583936,1488974,842612,475243,475241,842627,1488995,2583973,4320048,6870713,6870714,4320058,2583983,2583984,4320059,2585479,254327463,2580863,4315251,4330695,2591072,2579014,2579016,2579060,2579057,4312747,4323098,254491079,4323384,4323383,6886734,6882435,6870434 Dl.O(d2) = 28478161,36975778,46854389,58222151,70939253,84503253,98424857,112413547,260125418,152367750,152367746,139647014,126276578,112413532,112413533,126276580,112413539,98424843,84503242,258264144,112413540,262160031,175046581,272974614,272360862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14017907, s2 = 13987790, dlinesl.size( ) = 2 s1 = 14017907, s2 = 13987790, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14017907, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10970698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10970698, s2 = 11656840, int(edited[s2]) = 0 s1 = 10970698, s2 = 11656840, d1 = 25, d2 = 14 Dl.O(d1) = 261117085,112878391,98890623,259493418,98890666,84965425,84965427,98890981,258246820,71390322,58655225,47263326,37353767,37353769,47263329,58655232,71390330,84965113,98890715,98890613,98890615,259493426,98890653,98890652,112878430,112878419,112878420,112878387,98890618,84965051,84965050,98890616,260108668,112878429,98890648,84965072,71390297,58655211,258692693,71390670,58655605,58655606,71390674,71390288,71390286,84965060,98890631,112878400,112878660,112878659,260539173,260108668,112878429,112878427,112878385,98890617,84965051,84965050,98890616,260108668,112878429,112878427,126730690,112878586,112878390,98890621,84965052,84965053,259493418,98890666,84965425,84965424,98890986,112878678,258869244,84965085,84965084,259493434,98890630,112878399,112878660,112878659,112878688,260108680,140078826,140078755,126730694,112878393,98890626,84965054,84965053,259493418,98890666,84965425,84965427,98890981,258246820,71390322,58655225,47263326,37353767,37353769,47263329,58655232,71390330,84965113,98890715,98890613,98890615,112878382,112878651,112878591,98890889,84965342,71390662,71390663,84965345,98890893,112878596,126730688,112878655,98890955,84965393,71390713,71390714,58655668,58655666,258692721,71390746,84965431,98890993,98890707,260606112,112878679,98890989,84965428,71390744,71390743,84965424,98890986,112878678,258869244,84965085,84965084,258869238,98890984,84965419,71390738,71390737,84965417,98890983,98890689,84965096 Dl.O(d2) = 71390680,58655611,58655612,71390681,84965090,71390310,71390311,84965092,71390313,71390314,61365727,61365726,61365729,49884837,39862429,31179943,31179944,27123779,27123780,29960077,38525488,48433369,42153588,42153587,49744819,40289236,31605411,31605409,40289232,256853128,74575660,258665694,85672159,85672160,258792644,72085875,72085876,258792650,84844675,71270753,256435386,47150721,58539123,71270751,59566236,48180400,38271208,38271209,257524449,72300082,85892613,85892605,72300077,72300078,85892607,86460455,100417670,113120365,99500811,85554036,71966479,59693443,48306466,48306465,59693434,48306456,48306457,48306460,48306461,255340442,256235276,81179312,67714090,55374272,55374271,67714089,81179310,88112683,77735552,64553164,64553163,68008322,257927866,59028643,57678508,255889160,28015562,28015563,36476191,32956181,25236191,18667140,255647041,32956178,41891580,40779634,32023492,24461898,18042902,15218981,15218980,21179468,28399925,32023417,32023416,36897327,30619676,23198197,23198195,30619670,39216823,49143443,58143121,46775331,46775332,46775319,36897330,28399910,28399909,36897328,46775317,58143111,48461943,38549584,38549583,48461941,59852544,72590243,259403259,77333811,64186724,52336526,41997325,41997324,47726490,47726489,52336531,52336530,64186728,77333817,91253349,92356488,78322805,65042866,53059957,42612245,33588297,25792607,25792608,25792609,33588298,42612247,53059963,62746943,51115761,40973641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10970698, s2 = 11656840, dlinesl.size( ) = 18 s1 = 10973199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10975818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10976507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7576542, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10977415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10977415, s2 = 11115906, int(edited[s2]) = 0 s1 = 10977415, s2 = 11115906, d1 = 9, d2 = 13 Dl.O(d1) = 254070709 Dl.O(d2) = 254237641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10977415, s2 = 11115906, dlinesl.size( ) = 14 s1 = 7802088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7802088, s2 = 14112279, int(edited[s2]) = 0 s1 = 7802088, s2 = 14112279, d1 = 56, d2 = 71 Dl.O(d1) = 254148808,1358644,1341770,1341773,1362535,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718 Dl.O(d2) = 115232196,101155045,87157275,73539165,60792115,49391578,39463236,30858557,23427313,17158903,17158905,21245781,21245782,23045686,23045687,255569860,15280821,18954843,18954844,19834949,21238398,21230439,21230440,15469912,255406361,15288340,10553677,6960589,4373273,4373269,6960597,10553694,8110022,8110021,12061679,17158209,23433826,30863367,33331783,28473935,21254205,21254204,28460889,21270265,18954268,18954269,13536751,13536750,13518376,9250455,6058329,6058332,4369655,2617963,2617962,4369652,6954465,5193826,3169177,3169174,5193834,4729975,4729976,7484758,9249575,8110359,8110358,12062116,12069499,17165744,21269676,28476631,23436401,23436400,30865479,24830012,18336694,13016593,254447468,24830007,32469451,41314761,51535543,256653434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7802088, s2 = 14112279, dlinesl.size( ) = 8 s1 = 10977597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10977651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10977651, s2 = 11179882, int(edited[s2]) = 0 s1 = 10977651, s2 = 11179882, d1 = 13, d2 = 7 Dl.O(d1) = 39719,73379,134945,133877,133875,242071,428886,754826,759934,759937,759963,759961,1330859,2287602,1327615,1327617,2278756,2276652,2276656,2053372,1327460,1327461,2288076,3164329,3164327,3825276,3825274,6113715,9333660,6134079,3837711,2299159,1334028,1334027,2299157,3837704,6134064,9364526,8360801,8360802,12372861,17541822,23888509,256106885,25134430,32839783,256509025,21947063,21947062,16918846,16918847,21947043,15857710,15857709,21947040,24129521,24129522,31636604,40326048,50353048,61250029,55709744,44802637,35377984,255751840,47865358,37947074,37947075,256438895 Dl.O(d2) = 16918654,23184191,22897738,22897739,23183626,22082233,22082232,25630680,19014912,255414765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10977651, s2 = 11179882, dlinesl.size( ) = 14 s1 = 10977707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10977707, s2 = 11235508, int(edited[s2]) = 0 s1 = 10977707, s2 = 11235508, d1 = 19, d2 = 4 Dl.O(d1) = 71029,38436,38437,71031,130937,254441565 Dl.O(d2) = 18742328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10977707, s2 = 11235508, dlinesl.size( ) = 14 s1 = 13252015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13252015, s2 = 11038842, int(edited[s2]) = 0 s1 = 13252015, s2 = 11038842, d1 = 16, d2 = 14 Dl.O(d1) = 2007403,2007404,3403810,5516935,5506596,3395292,2001322,1143928,641646,356117,195145,254075619,58643,254080709,356130,641673,1143979,659020,365308,365309,659022,1173974,2001219,2001218,3395156,5506461,254864837,267899707,3039414,3039413,5014515,5014514,254276103,1156393,1156392,2020914,1764802,1005486,1005485,566941,317517,175544,175546,317528,317556,317554,567001,637510,357357,357356,643837,1147647,1169467,2002256,1990682,1990678,1156636,1156631,1176619,660489,660484,1176607,2051258,3375818,3375816,5484940,5507452,3396101,2015301,2015302,3414397,2028541,1161446,1135772,254106689,194072,194073,353917,194090,106097,106094,194094,353953,637320,1135915,1140273,1636171,2820206,3035890,1767131,254250853,5018047,7893387,5014117,3032379,254374141,2047147,1173857,658958,267756713,1991425,1138044,254128863,568629,1008936,1770302,3040006,3389108,2005709,1146596,643215,356997,195575,195574,356972,356975,643161,645895,645894,1151338,645854,645853,1151337,2013107,3411348,3291941,1935960,1105764,1105765,1935961,3291942,3038350,1769016,254251087,3382028,3382029,5491575,254865455 Dl.O(d2) = 74544654,61761289,257087351,40260989,257087349,40260989,40260987,40260986,40260988,50281817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13252015, s2 = 11038842, dlinesl.size( ) = 22 s1 = 7831264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10977871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10977871, s2 = 11054222, int(edited[s2]) = 0 s1 = 10977871, s2 = 11054222, d1 = 13, d2 = 10 Dl.O(d1) = 64472,64469,64080,64084,65473,65472,120038,218656,392947,254290961 Dl.O(d2) = 256083317,21452727,15454203,10685147,10685148,255405105,14540449,14540448,20265996,27190165,35309949,28706389,28706388,37236849,31474374,31474375,40158808,33688432,25882000,19222677,19222678,25882002,20265882,14540391,14540392,20265886,20265961,25881789,25881790,33688165,33688275,33688274,42718320,53167880,65152288,68142478,68142479,73183929,85379409,71790210,257781360,44728607,44728608,50439584,40405668,40405669,50439585,50389334,50389333,44836531,44836532,55744422,49100710,39170333,31617763,31617764,257083050,27189802,20265795,20265794,27189644,27189646,35309126,40395649,40395648,44728445,35309230,35309226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10977871, s2 = 11054222, dlinesl.size( ) = 14 s1 = 10977993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10977993, s2 = 14895510, int(edited[s2]) = 0 s1 = 10977993, s2 = 14895510, d1 = 10, d2 = 18 Dl.O(d1) = 77399,76883,254083693 Dl.O(d2) = 254466341,9768761,14210002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10977993, s2 = 14895510, dlinesl.size( ) = 20 s1 = 10978019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13159614, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13159726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13159826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13159826, s2 = 14483608, int(edited[s2]) = 0 s1 = 13159826, s2 = 14483608, d1 = 21, d2 = 32 Dl.O(d1) = 254091281,113582 Dl.O(d2) = 4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,434913,245609,245607,434901,764619,1338637,2307039,3850620,5827825,5827821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10978233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10978293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10978293, s2 = 11084580, int(edited[s2]) = 0 s1 = 10978293, s2 = 11084580, d1 = 5, d2 = 13 Dl.O(d1) = 254093383 Dl.O(d2) = 255252533,16360523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10978293, s2 = 11084580, dlinesl.size( ) = 14 s1 = 14181434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181434, s2 = 9226272, int(edited[s2]) = 0 s1 = 14181434, s2 = 9226272, d1 = 48, d2 = 40 Dl.O(d1) = 267937356,78408071,65126219,53141088,254114816,25854050,19197627,13710709,9390853,254073306,9699966 Dl.O(d2) = 272705257,133948307,261446323,147170587,272178302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181434, s2 = 9226272, dlinesl.size( ) = 8 s1 = 15395615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 602185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11794816, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 129233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 129233, s2 = 10345178, int(edited[s2]) = 0 s1 = 129233, s2 = 10345178, d1 = 35, d2 = 30 Dl.O(d1) = 6163864,4471448,4471451,2880837,2686079,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7103242,4472183,2687147,1556528,884908,499273,279984,154550,154548,279975,499253,884854,1556410,1556440,2686966,4472318,7064093,4447689,2672080,2672079,4447684,4776723,4776783,2881218,2881213,4780927,7560869,11375394,7557614,7557612,4780404,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,16343980,15546617,10752737,7103968,5258305,5258304,7102701,8188740,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525117,9928510,14433550,20125364,22524098,27016993,23638944,17323314,17323313,23638941,29871951,29871949,38432453,29878076,29878075,29871953,22513254,16339545,11368755,7552894,7552893,267771410,11375808,7557557,7557558,11375814,16339507,17514550,17514546,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358469,16326478,22500683,17096184,17096182,23365288,23568204,17321331,17321332,21087607,25299144,18724534,18724535,22172843,254182644,12166977,12166976,16331697,11362620,7549085,7549086,4774223,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350936,16314879,12414640,12414636,17587931,254839560,29749323,22499119,16324915,11357341,7545747,7545748,11357024,11354439,7544142,7544143,11354443,16320406,15923944,11046687,7321521,7321520,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179086,5179083,8083087,10586677,6983844,4388403,4388401,4859754,7680468,11544431,16311670,12159016 Dl.O(d2) = 29849483,28891621,21615458,21615459,16299588,11341241,7536833,4767711,254072220,11341244,13852446,11359066,11359067,11359008,7546772,7546773,11359011,16327158,255107304,255107302,26690994,19871603,14237538,14237537,19871531,26690908,30054311,30054312,29184319,256362017,256729697,34694184,43969420,38730635,38730636,46733694,42737012,33707466,26690877,19871507,19871505,22150463,22150462,29488973,38052766,259983721,127513009,260633000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 129233, s2 = 10345178, dlinesl.size( ) = 12 s1 = 10978529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10978529, s2 = 11100292, int(edited[s2]) = 0 s1 = 10978529, s2 = 11100292, d1 = 19, d2 = 14 Dl.O(d1) = 193168,193169,352774,254136639,1983966,3371609,5479094,5478589,5478590,8475532,257085105,61729213 Dl.O(d2) = 260282552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10978529, s2 = 11100292, dlinesl.size( ) = 8 s1 = 10978561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10978561, s2 = 11046092, int(edited[s2]) = 0 s1 = 10978561, s2 = 11046092, d1 = 2, d2 = 4 Dl.O(d1) = 254075851,34202,19550 Dl.O(d2) = 254091027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10978561, s2 = 11046092, dlinesl.size( ) = 14 s1 = 10978769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10978769, s2 = 10398475, int(edited[s2]) = 0 s1 = 10978769, s2 = 10398475, d1 = 3, d2 = 11 Dl.O(d1) = 241435,133511,72677,39469,39470,21844,21845 Dl.O(d2) = 6073656,6073654,9272260,13544270,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474617,16468782,22663467,29708980,25601172,25135410,18581582,18581579,13593286,13593284,9307696,6582543,6582541,10015229,14555252,14554995,11308411,7507912,7507911,11308406,16264865,18092430,24523674,19041150,13592273,9306987,6096590,6096591,9306990,6125289,6125290,9351494,9351496,13656270,9351466,6125263,6125244,6125246,9351437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10978769, s2 = 10398475, dlinesl.size( ) = 12 s1 = 6530743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13161218, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10979181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7802486, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10979441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979441, s2 = 10987044, int(edited[s2]) = 0 s1 = 10979441, s2 = 10987044, d1 = 9, d2 = 10 Dl.O(d1) = 254291369,255627485 Dl.O(d2) = 14983984,255363309,28056936,268495694,30091544,254928006,254447768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979441, s2 = 10987044, dlinesl.size( ) = 14 s1 = 10979577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979577, s2 = 11209744, int(edited[s2]) = 0 s1 = 10979577, s2 = 11209744, d1 = 27, d2 = 36 Dl.O(d1) = 741761,1299912,2241846,3745246,5989613,9152315,256122915,10392972,6850178,6850179,10392974,15069616,15263014,20981685,20981686,21266458,15304696,10568758,10568757,9252476,6059738,6059736,9252468,7068881,7068882,10699695,15473167,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,2271795,2271792,3791200,6059182,6949319,4366765,4366767,6949331,9237794,6050188,6050187,9237786,12061837,17158367,18933625,18933624,25546324,23265124,17001424,11914809,254563927,3074573,3074574,5071246,7970122,11914820,17001437,23265148,29382419,29382420,37939700,47844746,47362240,269320585 Dl.O(d2) = 264964880,264512420,206521677,200481841,273552296,193330041,200481842,273981955,261661868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979577, s2 = 11209744, dlinesl.size( ) = 34 s1 = 10979601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979601, s2 = 11213684, int(edited[s2]) = 0 s1 = 10979601, s2 = 11213684, d1 = 9, d2 = 5 Dl.O(d1) = 753630,428120,428121,242982,134322,73019,73024 Dl.O(d2) = 254148819,254935085,19102092,25734799,23174659,16910455,11834547,7909130,7908071,5026945,5026944,254814323,16908168,23171668,23171669,30589987,39187408,39299842,30702325,23286625,23286624,24237540,24237541,31748641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979601, s2 = 11213684, dlinesl.size( ) = 10 s1 = 11795194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 860934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 860934, s2 = 11336672, int(edited[s2]) = 0 s1 = 860934, s2 = 11336672, d1 = 2, d2 = 21 Dl.O(d1) = 22071010,15966079,15966078,15358631,254083076,7001509,9350001,6124246,3831753,3831752,2370320,2370324,3957952,6314858,9387715,9387714,6347659 Dl.O(d2) = 87247226,258851399,49471450,257039307,30925737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 860934, s2 = 11336672, dlinesl.size( ) = 2 s1 = 860934, s2 = 11336672, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 860934, Dl.E( ) = 28, 2.1e-05 seconds used appending s1 = 10979715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10979801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979801, s2 = 10934094, int(edited[s2]) = 0 s1 = 10979801, s2 = 10934094, d1 = 1, d2 = 1 Dl.O(d1) = 441327,777649,777747,777743,1365363,2355721,2355726,3935139,6284321,9575990,13576909,13576911,19021682,25638221,33404793,256166482,64707511,77896173,91817628,106012611,120214805,134050466,136742178,122910425,122910424,136742177,122910436,108645599,94357691,259761079,122910438,259446254,108645586,94357678,94357679,80301190,66871819,54614088,43871735,257285671,66871816,259132357,108645588,94357682,80301186,80301185,270632967,119226363,259003470,78880448,65545352,65545353,78880449,92992043,107402361,107402367,92992046,92992047,101156705,101156704,107402360,101156682,270360921,60793051,49392460,39464044,30859583,23428585,23428584,30859581,39464040,49392454,60793035,60793036,73540281,87158624,73540320,73540319,87158663,101156700,101156701,98197680,84301523,70749909,58035689,58035690,70749911,73540316,87158659,101156697,115234188,115843162,115843163,115843166,112818062,112818063,101796311,87823111,74218601,74218602,87823106,74218598,61439185,61439186,63864375,52044969,41730170,41730169,32809725,25107307,18557853,13186519,13186518,18557851,18557850,20317073,18778485,13373937,9140775,5981652,5981651,254918089,255658419,33094295 Dl.O(d2) = 441327,777649,777747,777743,1365363,2355721,2355726,3935139,6284321,9575990,13576909,13576911,19021682,25638221,33404793,256166482,64707511,77896173,91817628,106012611,120214805,134050466,136742178,122910425,122910424,136742177,122910436,108645599,94357691,259761079,122910438,259446254,108645586,94357678,94357679,80301190,66871819,54614088,43871735,257285671,66871816,259132357,108645588,94357682,80301186,80301185,270632967,119226363,259003470,78880448,65545352,65545353,78880449,92992043,107402361,107402367,92992046,92992047,101156705,101156704,107402360,101156682,270360921,60793051,49392460,39464044,30859583,23428585,23428584,30859581,39464040,49392454,60793035,60793036,73540281,87158624,73540320,73540319,87158663,101156700,101156701,98197680,84301523,70749909,58035689,58035690,70749911,73540316,87158659,101156697,115234188,115843162,115843163,115843166,112818062,112818063,101796311,87823111,74218601,74218602,87823106,74218598,61439185,61439186,63864375,52044969,41730170,41730169,32809725,25107307,18557853,13186519,13186518,18557851,18557850,20317073,18778485,13373937,9140775,5981652,5981651,254918089,255658419,33094295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979801, s2 = 10934094, dlinesl.size( ) = 2 s1 = 10979801, s2 = 10934094, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10979801, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10934093, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13163114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13163114, s2 = 9673662, int(edited[s2]) = 0 s1 = 13163114, s2 = 9673662, d1 = 32, d2 = 36 Dl.O(d1) = 74776574,61980254,50488133,40451914,31757047,31757046,30096802,22715035,16510745,11505927,7653942,4842925,2918449,2918448,4842923,7653939,11505921,16510734,22715012,256430993,48590580,38674191,38674192,48590581,59982570,72720123,258295051,62008831,72720105,72720106,86317764,72720146,72720145,62008633,50516826,40481487,40481486,50516824,50516981,59982591,48590594 Dl.O(d2) = 263092601,177405426,262312746,142523348,142523349,155166592,259466802,121016706,121016707,113380614,99380337,85439666,71854933,59117126,59117125,71854932,85439665,99380336,113380611,113380613,126511188,126511189,261143087,113380621,113380622,127238070,140583265,153264538,263129063,128787028,261147112,73248597,73248596,73248598,86861165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 13163298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10980105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10773097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10773097, s2 = 10980106, int(edited[s2]) = 0 s1 = 10773097, s2 = 10980106, d1 = 0, d2 = 0 Dl.O(d1) = 17284085,254836476,21080903,21080902,28286972,36783571,38425372,38417491,36783388,28286662,21080607,254581416,7320670,7320645,7320567,4622077,4622081,7320583,11045692,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,10271725,14935442,14935507,20833949,22024527,29354625,29345211,23886298,17539802,12371329,12153032,8183250,5252899,3209837,1879973,1879974,3209844,5252919,8183294,12153097,15914218,11035637,11035633,15914198,11367662,11367661,16338152,11383125,7562684,7562680,11383112,11360366,11360365,11384888,11384887,16359733,22512129,16338263,16338262,17260035,12139935,12139936,16330503,11361593,7548407,7548408,11361597,11361866,16330495,16356265,16356263,22515807,22515806,29338009,22006605,22006606,16356025,11382370,11382369,16347333,22520539,22029387,15928277,11051534,7326974,7326972,11035820,11035822,15914440,11382486,7562280,4781788,2881519,2881520,4781787,7132022,7132023,7554902,4777401,2879220,2879221,4777405,5238515,3197730,2877439,2877440,4773904,5238465,5238464,7301199,4605617,2771776,2771774,4605614,4980050,3008241,1747523,993754,887662,500855,500852,887654,887640,500881,500883,887704,1491941,844845,476826,268277,268278,476787,476789,844781,1491826,2587788,2588043,4325927,6890958,8478061,5480249,5480247,8478035,12514268,16327288,268257188,257657820 Dl.O(d2) = 17284085,254836476,21080903,21080902,28286972,36783571,38425372,38417491,36783388,28286662,21080607,254581416,7320670,7320645,7320567,4622077,4622081,7320583,11045692,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,10271725,14935442,14935507,20833949,22024527,29354625,29345211,23886298,17539802,12371329,12153032,8183250,5252899,3209837,1879973,1879974,3209844,5252919,8183294,12153097,15914218,11035637,11035633,15914198,11367662,11367661,16338152,11383125,7562684,7562680,11383112,11360366,11360365,11384888,11384887,16359733,22512129,16338263,16338262,17260035,12139935,12139936,16330503,11361593,7548407,7548408,11361597,11361866,16330495,16356265,16356263,22515807,22515806,29338009,22006605,22006606,16356025,11382370,11382369,16347333,22520539,22029387,15928277,11051534,7326974,7326972,11035820,11035822,15914440,11382486,7562280,4781788,2881519,2881520,4781787,7132022,7132023,7554902,4777401,2879220,2879221,4777405,5238515,3197730,2877439,2877440,4773904,5238465,5238464,7301199,4605617,2771776,2771774,4605614,4980050,3008241,1747523,993754,887662,500855,500852,887654,887640,500881,500883,887704,1491941,844845,476826,268277,268278,476787,476789,844781,1491826,2587788,2588043,4325927,6890958,8478061,5480249,5480247,8478035,12514268,16327288,268257188,257657820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10773097, s2 = 10980106, dlinesl.size( ) = 2 s1 = 10773097, s2 = 10980106, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10773097, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6438676, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13274319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15191688, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10980455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980455, s2 = 14924413, int(edited[s2]) = 0 s1 = 10980455, s2 = 14924413, d1 = 6, d2 = 2 Dl.O(d1) = 254272611 Dl.O(d2) = 8429277,12460519,12460518,12460519,255574951,268683381,41975058,33031894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980455, s2 = 14924413, dlinesl.size( ) = 8 s1 = 13165108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13165108, s2 = 13225498, int(edited[s2]) = 0 s1 = 13165108, s2 = 13225498, d1 = 11, d2 = 19 Dl.O(d1) = 661287,1177868,1800684,1027680,1027679 Dl.O(d2) = 10835311,7494029,4737227,2855071,2855067,4737212,7494005,7783517,8070586,8070584,12012283,11888166,11888165,12361670,12361671,17527911,23872392,31147005,36790849,46676826,40483993,31789002,24275654,17895565,12676154,8608600,8608601,12676150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13165108, s2 = 13225498, dlinesl.size( ) = 8 s1 = 15499675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10980615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980615, s2 = 10356779, int(edited[s2]) = 0 s1 = 10980615, s2 = 10356779, d1 = 48, d2 = 47 Dl.O(d1) = 1198993,1198990,1198991,2085190,1198881,1198880,2085187,3507819,5643603,8674332,12763376,12763391,12763371,254512332,8674593,12763750,8674646,5643839,5643840,8674648,12763796,15878694,15878695,21972532,255417652,22547121,16371193,13294152,9076190,9076191,13294153,18687493,25259015,32982293,41922556,267920550,24009735,24009736,31509523,31169519,31169518,28909914,21635336,21635335,28451846,254889526,33079066,27155341,27155340,27155343,35254343,44638871,39725156,39725154,32463809,24825095,18332858,254980860,9132825,5976542,3737549,2237722,2237726,3737563,5976564,9132849,13363545,18766963,25348575,33079355,37125145,34001747,26160009,26160008,24002274,17657548,12486560,12486559,17657544,24002263,30243792,25349153,25349155,33080154,33078698,31046257,23562524,23562522,31046247,39724907,38446200,256003696,30764670,23341424,17075224,17075223,23341422,30764666,28341267,28341270,25348317,25348315,27124044,35216966,31500898,24002543,24002544,31500902,31498902,24001190,17656894,12486215,12486214,17656884,24001167,31498846,29747108,22387585,22387584,29747105,31046026,31046027,39724612,39724613,42636634,33610873,33610872,42021794,52360611,52360609,42021790,42021789,52360606,64210595,74472164 Dl.O(d2) = 257833631,261485639,262513311,262969558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980615, s2 = 10356779, dlinesl.size( ) = 14 s1 = 10980811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980811, s2 = 11102282, int(edited[s2]) = 0 s1 = 10980811, s2 = 11102282, d1 = 1, d2 = 6 Dl.O(d1) = 696768,696769,1231149,1231148,1231161,696775,390658,216698,118866,118864,118810,118812,216570,255028157 Dl.O(d2) = 254235396,23035474,254766668,12430577,8401342,8401343,12430564,17610553,23958124,31451130,39280315,39280311,31446997,31446999,40126760,31457410,23962686,17613474,12432350,12432354,17613490,23962713,23962445,23962446,18665960,18665959,25234991,23955195,17608370,17608369,23955194,31447054,23954743,17608040,17608038,23297330,23297328,23953779,23953780,22955689,16719380,11677647,11677648,16719386,22955707,22955914,20978892,20978893,23962946,17613668,17037121,11951057,7999934,7999933,11951051,17037109,23297087,30713819,39311686,49238543,39312141,30714225,30714226,256529802,49206887,41890107,32954786,25234954,18665936,18665935,25234952,32954784,41890102,256024270,74416685,64799521,52880295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980811, s2 = 11102282, dlinesl.size( ) = 2 s1 = 10980811, s2 = 11102282, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10980811, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 10981001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981001, s2 = 2913400, int(edited[s2]) = 0 s1 = 10981001, s2 = 2913400, d1 = 115, d2 = 33 Dl.O(d1) = 1287619,254295919,5926641 Dl.O(d2) = 86849209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981001, s2 = 2913400, dlinesl.size( ) = 52 s1 = 13166066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13166066, s2 = 7392561, int(edited[s2]) = 0 s1 = 13166066, s2 = 7392561, d1 = 25, d2 = 22 Dl.O(d1) = 19293279,13793932,9458666,6201831,6201832,6202090,3882016,3881532,3881534,2324418,2324413,2324648,1347662,769026,437118,246777,136333,254083135,437098,768975,254209021,3881613,6201451 Dl.O(d2) = 266182069,234416374,235411060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13166066, s2 = 7392561, dlinesl.size( ) = 2 s1 = 13166066, s2 = 7392561, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13166066, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 10981249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981139, s2 = 10981250, int(edited[s2]) = 0 s1 = 10981139, s2 = 10981250, d1 = 7, d2 = 5 Dl.O(d1) = 759632,759636,1325764,1325761,2285477,1331244,1322174,754351,754348,428662,241951,133810,73090,73091,73401 Dl.O(d2) = 39745,39742,73463,72846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981139, s2 = 10981250, dlinesl.size( ) = 8 s1 = 10981403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14117135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981443, s2 = 11204740, int(edited[s2]) = 0 s1 = 10981443, s2 = 11204740, d1 = 9, d2 = 2 Dl.O(d1) = 254219741 Dl.O(d2) = 10355801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981443, s2 = 11204740, dlinesl.size( ) = 8 s1 = 10981449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981449, s2 = 11006906, int(edited[s2]) = 0 s1 = 10981449, s2 = 11006906, d1 = 0, d2 = 58 Dl.O(d1) = 833616,469980,254155869,267822031,6823390,10359546,13595858,13595857,16265396,17871747,12655892,8592482,5583015,3463926,3463922,5583029,8592522,12655959,17871847,17871925,12656006,256552319 Dl.O(d2) = 255498490 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981561, s2 = 11095548, int(edited[s2]) = 0 s1 = 10981561, s2 = 11095548, d1 = 8, d2 = 13 Dl.O(d1) = 864769,1524890,254333373,6427590,9775605,14219424,19847577,17832963,12627489,12298471,12298472,255031077,7006205,268206311,37069715,257435455,58316161,46949191,46949192,46949197,46949198,58316166,256605550,48562247,38646749,38646748,256752686,72221343,59484661,48095591,255462640,29616722,22265470,16124362,11200695,11200694,16124359,22265474,29616727,38183975,269100439,33687609,25881197,25881138,19221980,13730918,13730919,19221982,19222023,13730942,9406389,9406388,13730937,19222014,25881194,25881202,19222020,19222019,19221972,19221973,13730923,13730924,256158825,36812642,36812641,46695704,257049832,28316477,28316476,33687617,256502988,36812639,33687556,33093317,33093315,257191155,268610040,46856057,58223842,70940965,256918576,267899778,12600370,16056599,11148748,11148747,16056596,16796792,11744430,9847768,9847769,14335174,19835881,14210132,9768839,9768841,14210127,13202499,13202500,15562161,15562162,16055968,11148322,7394264,7394265,4671486,2814459,1632844,1632841,2814453,4671469,7394515,11148701,12610175,8558871,5555726,5555725,5560301,3445028,2039817,1168993,1168994,2039819,3445034,5560307,8563229,254417678,3445026,5560298,8563239,12615273,13358498,9129515,9129516,13358500,18759887,25339893,24195428,24195429,30040289,22664916,22664917,24095170,31598889,31664484,38728639,31572917,24067127,24067128,22948614,16711856,254605502,254613094,25339767,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190101,13440549,18863482,16726260,16726261,19703014,25469765,26893239,20012021,14332267,11475383,7632619,4828850,4828851,2909890,2909888,254179156,11475447,16469932,254386636,15739818,10900876,7209405,7209406,255827884,8831245,254731016,4576800,4576801,7256914,10963197,15819524,13714876,13714877,12858395,12858394,18133542,24575493,21898161,15819484,10963170,10963171,13366494,11005237,7285287,4594312,2763960,2238127,2238128,2135570,1232413,1232412,1601931,2763472,4593410,7283818,11003140,7283803,7283805,7283307,4593096,4593095,7283305,11002453,255255905,255208045,5622866,3493427,2075463,2075462,3493425,5622863,8645219,12722915,13364046,9133188,9133189,13364048,13961846,9586458,6292621,3941319,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325515,3883618,5855926,5855925,256101747,41663666,39401007,30797828,30797829,31023226,23542046,17233786,17233787,268257522,32077888,24504160,24504161,32077891,255401062,27132673,21428156,15435427,268207845,28018636,20852282,14951720,14951719,17136373,17136374,255511820,37076892,37076891,37200987,37200988,271304805 Dl.O(d2) = 27158709,20246996,14529047,255194996,5683172,5683174,8729558,12837374,14049605,18793923,13387296,13387297,18793930,23234214,16961687,16961688,21987795,21987794,29316112,37885011,33148644,25408159,18817582,18817583,22980032,16742967,16742968,22980038,24537970,18104620,18104618,19605215,14047859,9659537,9659538,14047862,10565625,10565624,15301358,21263933,24538070,32115378,40889083,40889082,40889110,32115392,32115328,24538035,18104651,12837359,8729536,5683164,3535291,3535292,5683168,8729546,12837378,18104693,18793914,18793912,25378701,33113913,31871065,26059764,19377643,19377644,26059770,24538161,24538160,26333654,26333655,34207709,33884286,33884285,42930960,53397547,65401200,62652240,51026148,40888842,32115186,32115185,26333620,19605184,14047840,14047839,19605180,26333610,28481579,36978906,40888795,32115157,24537931,24537930,24537941,24537942,32115166,32115171,24537949,24537950,32115174,32115301,24538018,24538020,32115305,40888923,41824433,32900466,32900467,41824438,51026249,40888912,32115238,24537989,24537987,32115232,40888902,51026239,40889243,40889242,51026619,44344375,44344370,40032306,40032305,32115180,32115179,40888833,50052343,47378880,37471783,34207666,34207668,34207662,34207663,43306213,50348384,40888802,40888803,50052410,40888786,40888784,40888808,51026124,62652227,62652235,51026138,51026139,51026370,40889008,32115294,32115297,40888917,37402726,37402724,47312137,50615731,62115155,62652317,51026218,40888889,32115224,32115222,40888885,40032254,40032253,50052357,41824428,32900465,32900464,26888050,26888051,34966853,40032233,32858489,32858488,40032243,46828463,46828464,43306215,43306216,53831104,65898172,73390685,60643983,49243196,40032300,257069345,38380790,29808767,29808768,38380793,48291498,59678489,50296781,50296782,61531647,71434028,71434025,58701921,47312128,47312127,58701920,62652323,269921869,50615722,50615723,51026206,62652307,61531618,61531551,50052266,40032168,31351924,31351923,31352067,31351987,23858458,17515291,17515290,23858455,31351982,36950454,36950456,46828473,49243193,39316124,38634921,38634922,48549255,40032319,31352019,23858477,17515307,16273825,16273823,22442121,29808773,38380801,48291505,50296777,50052419,50052417,61531650,74309044,61531722,50052515,50052514,61531715,60643994,60643993,50052251,40032147,40032149,40032295,40032223,31790626,24276906,17896503,17896502,24276901,23858416,17515331,12351411,8344956,8344951,8344949,12351379,12351387,17515281,17515282,23858434,31351957,40032189,50052291,61531575,50052454,40032344,38380824,29808786,22442131,16273834,11315941,11315940,16273828,22442126,29808781,38380817,48291528,40032314,40032312,50052424,50052438,61531660,61531733,50052527,40032411,40032412,50052532,61531534,50052242,50052243,40485740,31790633,24276910,17896514,12676766,12676765,17896508,17515273,12351426,8344963,5386141,3312024,3312022,5386134,8344945,12351397,17515287,23858442,31351967,23858500,23858501,31352055,40032369,39879723,38380785,29808765,22442115,16273821,11315937,11315936,16273817,22442105,29808750,38380770,40032132,48291517,50052414,59678470,59678435,59678433,59678440,48291451,38380732,29808729,29808730,38380735,38380728,38380729,40485736,40032281,31790609,24276896,17896497,17896500,17515278,12351372,8344932,8344933,8344927,5386125,5386124,8344923,12351360,17515260,23858405,31351911,40032141,31352042,31352043,40032361,50052475,55734206,48291486,38380774,29808755,22442109,22442108,22442103,22442102,29808744,38380762,40032178,38380810,38380808,48291478,46415916,46415917,48822609,38900332,38380753,29808737,22442098,22442097,29808733,38380745,40032286,31352003,23858468,23858469,31352008,24276892,24276891,23858424,23858423,31351913,40032155,40032076,31351872,23858380,17515254,17515253,23858396,31351902,40032126,50052225,50052363,50052365,50052470,48291491,48291490,50088859,40067506,31384840,23888210,23888208,31384837,38380755,36552966,36552965,46415922,50052270,61531505,57769428,46415908,46415907,38900337,30313734,30313735,38380739,38380738,48291456,48291461,48291459,59678455,61531638,50052402,40032290,40032289,50052287,40032184,31351935,31351934,28343328,28343327,36840105,31351894,31351891,31267380,256515231,49959171,268005926,23648709,23648708,31136201,31136208,39818596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981561, s2 = 11095548, dlinesl.size( ) = 12 s1 = 10981785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981785, s2 = 11401416, int(edited[s2]) = 0 s1 = 10981785, s2 = 11401416, d1 = 12, d2 = 20 Dl.O(d1) = 908104,267970327 Dl.O(d2) = 258721725,99377645,260565461,127235850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981785, s2 = 11401416, dlinesl.size( ) = 12 s1 = 14482487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13167522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13167522, s2 = 15211316, int(edited[s2]) = 0 s1 = 13167522, s2 = 15211316, d1 = 106, d2 = 105 Dl.O(d1) = 14968066,14968067,255007715,10366596,13323220,9103182,9103181,254875485,8594495,12658698,17875291,17876512,17876003,12659450,8595255,5584846,3464951,2054773,1178865,1178863,2054764,3395249,3395251,3327507,3327511,4703140,2833333,1643739,934657,526730,295130,295128,526716,934625,1643678,1546880,879221,495934,495935,879226,1546890,2670719,254501655,10689091,15459286,21459059,255837208,33687784,25881396,19222196,13731092,9458231,6201542,3881677,2324469,2324470,3881678,6201544,254943891,19292500,19169580,19169579,25819770,28577145,28577146,25958021,19293468,13794095,9458809,9458808,13794092,19222172,256158869,33687768,42717786,258442727 Dl.O(d2) = 264982417,265383327,225021821,265764219,265859381,229587795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13167522, s2 = 15211316, dlinesl.size( ) = 2 s1 = 13167522, s2 = 15211316, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13167522, Dl.E( ) = 108, 4.01e-05 seconds used appending s1 = 10981981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7833499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13272073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13272073, s2 = 10855135, int(edited[s2]) = 0 s1 = 13272073, s2 = 10855135, d1 = 24, d2 = 3 Dl.O(d1) = 999787,999788,1756620,254373055,3021107,254372967,1756931,999976,999977,1756106,999390,562955,562956,999391,1756107,3021283,4999803,3023213,3023214,5002354,7878498,11795516,7877129,5001367,5001370,5001677,7876785,11795073,16863149,11795506,11795507,16858905,11791413,7873816,4998647,4998646,7873815,11791412,16858903,11795631,7877245,7877244,11795630,16863712,23123543,29922279,29922277,23135486,16875021,11805249,11805246,16875017,23131958,23125479,21556445,15535946,10744574,7098871,4469691,4469692,270298163,112889187,126740922 Dl.O(d2) = 164615651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13272073, s2 = 10855135, dlinesl.size( ) = 34 s1 = 10874020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6449290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14838889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10982413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10982413, s2 = 10881244, int(edited[s2]) = 0 s1 = 10982413, s2 = 10881244, d1 = 3, d2 = 5 Dl.O(d1) = 1114907,625729,625730,1114911,1951345,3317011,5394256,8357312,12368108,17535876,23882039,31378983,40061755,31564989,31564990,40252474,38314878,29746173,29746174,38314880,40061582,31378835,23881923,23881922,31378832,257071735,50082921,50082922,61563163,72029090,59611365,48224699,48224698,59611361,72029067,72029066,85617736,78898050,65563304,53538737,43059328,34000902,34000904,43059330,53538741,61682992,74466104,74340605,74340606,87943299,88457611,74824275,74763521,74763520,74466084,269306238,74340631,87943305,85200240,71635464,58914809,58914808,70397429,57703407,46354133,46354132,268620634,37533524,37533525,47441430,58827640,71555179,71555180,73262002,257418254,48150439,48150440,59537117,72270944,72270940,72270941,269306236,49114050,39185180,39185181,49114054,57853240,57853241,49114068,49114066,50073019,50073051,49114047,49114046,40053269,40053267,50073027,50073038,47408287,37500773,28957834,28957835,37500763,47408269,47408335,37500808,37500809,30587574,30587573,39185202,40429522,40429505,40429506,46868731,36990143,28492970,28492969,36990138,46868724,47897189,42731104,33701276,33701277,37500798,37500797,47408323,50073062,58236392,60516398,49114063,49114061,49160845,40429589,40429588,47897228,49114074,39185192,39185193,31372315,23877039,17532252,17532251,23877030,31372301,40053280,47408305,37500784,28957843,21676485,15637848,10821459,10821462,15637854,21676496,28957868,23169340,23169341,30587584,31735296,24226714,24226713,31735290,40429518,37979947,29417029,29417030,37979951,47897239,42731111,33701281,33701282,36859679,36859678,40053308,40053310,50073066,50073105 Dl.O(d2) = 36700147,256300384,70681925,84234920,98129772,87168025,85096493,71524642,58795362,58795363,58795405,58795406,66010192,53939782,43412854,43412853,53939778,49748642,39729756,256711016,49748644,46741374,46586883,46586884,57963468,47939539,38025755,38025754,47939533,49770815,39752349,39752348,46866430,36987923,36987925,46866436,46741228,36859595,36859594,40053300,38241561,38241562,46741275,40053343,40053342,50073097,61551437,74327761,85096482,85096483,71524668,71524667,84515008,71524677,58795398,47408369,37500844,37500845,47408375,58795404,71524665,71524664,61227707,49748654,39729759,36610653,36610654,46476601,57832368,52875363,42471504,33477885,33477886,31074719,23591400,17279477,12158915,12158916,17279479,254752018,23769249,17441148,12294438,12294439,17441149,23769252,31253540,268607480,17279487,267993857,254835803,17279488,23591418,256500731,49770845,49770839,49770840,61249517,71328598,64245239,257482010,49770802,49748615,49748614,40911924,32134116,24553085,24553084,32134106,32134105,40911905,51053835,62684545,74008346,74008343,74045732,61265934,58595730,47624614,37701613,37701612,47624611,58595750,47205354,37298583,37298584,37298738,37298739,268257686,39729652,39729750,49748637,47205361,37298591,28765650,28765649,31051050,23566963,17255600,17255601,23441079,17167344,17167347,18780923,15497572,15497571,21505700,25363567,25363568,33097125,37449851,37449852,31051026,28765685,21505721,21505722,28765689,37298138,40053724,40053723,31488002,31488003,31372618,23877254,17532389,17532390,23877256,31051140,23567044,17255654,12135714,8165684,8165683,12135708,17255643,23567027,31051121,32134195,32134194,37298341,28765363,21505437,21505435,21505737,21505738,15497635,10717656,10717657,15497564,21505685,28765632,28765703,29140718,29140716,37298610,42045260,37449856,28910224,28910225,24271939,24271938,31784658,37298718,37298719,47205418,47205338,47205339,48384892,47205436,37449871,28910240,21635604,17646069,12472688,8442086,8442085,12472686,17646065,23990907,31051274,23567199,17255784,17255785,23567203,22380585,16223743,16223742,22380582,21505841,21505840,23567187,22380602,22380603,16383320,11402358,11402357,11278214,7486617,4731139,4731140,7486622,7080765,4458022,4458021,7080760,10717438,15497258,21505217,28765125,23567085,17255697,16223732,11278176,11278175,16223726,22380567,17255689,17255686,21505854,21505853,15663716,15663717,255039502,8165713,5235487,3195661,3195663,5235490,8165655,12135662,17255559,22562849,21505232,21505233,255039445,10717668,15497654,21505810,28765785,28853179,28853181,37298519,47205304,49244568,58595618,47205214,47205216,58595639,58595806,47205429,37298734,33663433,25857390,25857389,26600000,28765312,21505391,15497377,10717503,10717502,15497373,21505381,28765304,28765330,21505402,15497384,15497382,21505399,18575035,18575036,21505532,21505533,21505530,21505529,28765450,37298402,42694126,33663441,31658959,28765771,28765770,37298694,28853177,21580904,21580903,28853173,37393529,47302806,58595554,58595555,256474288,37298108,28765068,21505171,21505173,28765073,37298111,40053227,40053228,37298471,28765524,28765527,37298475,47205133,37298278,28765301,28765302,33066688,28765765,28765764,33066673,28765253,28765254,33686410,31372249,23877001,23877002,29728327,29728326,38295203,47205100,39317575,30719261,30719262,28765345,21505421,15497392,15497391,19200328,19200329,25857415,31372907,255883324,47754419,42694117,33663459,25857407,19200322,13712698,13712697,19200319,25857403,31372412,40053405,36994782,28497278,21279788,21279787,28497274,36994773,28765519,28765518,37298463,47205277,50073961,47205406,47205407,48204530,38295206,256946363,47390266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10982413, s2 = 10881244, dlinesl.size( ) = 2 s1 = 10982413, s2 = 10881244, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10982413, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10881243, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13322657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10982519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10982519, s2 = 11152526, int(edited[s2]) = 0 s1 = 10982519, s2 = 11152526, d1 = 15, d2 = 25 Dl.O(d1) = 254137258,254106938,12242786,17374738,23696867,25889492,19229887,254374888,22219232,254275148,9233852,9233853,12554487,12554486,12279868,12279867,17422556,23747992,19228383,19228382,16622087,12252644,12231670,8259300,5328572,3275330,3275331,5328549,4868650,4868654,5328748,3275424,3275426,5328756,5507565,5507563,8507069,12547790,12601752,12613923,254274922,13202950,13202903,13202902,18578533,25131439,24218082,24218083,254174274 Dl.O(d2) = 255965116,130294213,130294214,257591572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10982519, s2 = 11152526, dlinesl.size( ) = 18 s1 = 10982981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10345697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10345697, s2 = 16397476, int(edited[s2]) = 0 s1 = 10345697, s2 = 16397476, d1 = 56, d2 = 58 Dl.O(d1) = 63736628,51927232 Dl.O(d2) = 18667684,18667685,25236735,28897202,28897203,37437801,47344973,58732789,71462537,85034474,98959415,112948534,126802569,140152801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10345697, s2 = 16397476, dlinesl.size( ) = 2 s1 = 10345697, s2 = 16397476, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10345697, Dl.E( ) = 64, 1.6e-05 seconds used appending s1 = 10983031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983031, s2 = 11023024, int(edited[s2]) = 0 s1 = 10983031, s2 = 11023024, d1 = 9, d2 = 20 Dl.O(d1) = 1255774 Dl.O(d2) = 268242998,267987949,1793117,1793118,3073894,5070307,7968753,7968790,5070336,5070337,7968793,11912779,16998756,23262068,23262141,23262142,30678646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983031, s2 = 11023024, dlinesl.size( ) = 2 s1 = 10983031, s2 = 11023024, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10983031, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 13170220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13170220, s2 = 5737867, int(edited[s2]) = 0 s1 = 13170220, s2 = 5737867, d1 = 62, d2 = 69 Dl.O(d1) = 254293777 Dl.O(d2) = 233031829,234155045,235177091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13170220, s2 = 5737867, dlinesl.size( ) = 2 s1 = 13170220, s2 = 5737867, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13170220, Dl.E( ) = 78, 2.69e-05 seconds used appending s1 = 10983077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983077, s2 = 11217980, int(edited[s2]) = 0 s1 = 10983077, s2 = 11217980, d1 = 23, d2 = 1 Dl.O(d1) = 267927175 Dl.O(d2) = 25061625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983077, s2 = 11217980, dlinesl.size( ) = 34 s1 = 10983091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983091, s2 = 11301302, int(edited[s2]) = 0 s1 = 10983091, s2 = 11301302, d1 = 15, d2 = 13 Dl.O(d1) = 1271813,2191057,1357819,1357816,2344092,3916061,3916737,3916734,6256711,9537266,6831972,4286332,4286331,267958429 Dl.O(d2) = 259881939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983091, s2 = 11301302, dlinesl.size( ) = 20 s1 = 10983149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15085965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14487030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15191852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15191852, s2 = 14487029, int(edited[s2]) = 0 s1 = 15191852, s2 = 14487029, d1 = 1, d2 = 1 Dl.O(d1) = 47092916,47092915,49790000,61268957,63395295,61268966,49790008,40766046,32010165,24449966,18032756,18032758,256059843,38467756,29910117,22553360,22553359,29910115,38467751,48369271,59751839,51316821,41133186,40766087,39864662,38433125,29873255,25030516,25030515,32716611,41622286,268481108,50242067,61720870,50881925,50881924,62481011,62459877,62459878,52846722,42442278,33449166,33449167,256499312,47536428,47536427,58917344,71637952,85202634,259954731,126974216,113115534,260555035,126974226,140329117,153027580,164865675,154473258,258020028,128476109,256830620,112250041,100558538,100558539,100558541,100558540,98270481,84362103,70803480,255013386,60263644,48870848,255376322,22962932,16726509,16726508,22962931,256289454,22962928,22962929,23377126,23377127,30805239,39410253,49339769,46331520,36476034,28015444,20849651,14949397,10283601,10283602,14949398,20849653,20947878,15039274,15039273,17684934,255579501,23477018,17194620,17194616,255541271,23477017,30913715,29670472,22319320,16174381,11241833,7461827,7461828,7461830,4715248,2840604,1647766,1647765,2840601,1647857,1647856,2840744,4715271,2840626,2840624,4715269,2840630,1647781,1647780,2840627,4715274,7461772,7461771,7461775,4717671,2842116,1648681,937404,937405,1647888,1647889,2840782,4715505,7462150,11241718,7462895,4716038,4716039,7462897,11243146,16176031,22319411,22319410,23013666,23013667,30418744,39008050,48187976,48187977,59574116,58636442,47242723,47242722,42176062,37332689,28795181,24262390,17884452,17884455,15810344,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401176,12430273,17610076,23957389,31450151,31758419,31758420,24262663,17884651,12667923,8602862,8602861,12667918,17884636,24262643,30177930,22789075,22789074,30177927,24148102,24148103,31658187,38681710,38681711,34612017,33993263,26151767,19453063,19453062,26151762,19453077,13920999,9554889,6269575,3925478,2350051,2350050,3925474,6269566,9554863,13920938,19452957,26151588,33992989,33992988,31804325,31804326,40499470,47406674,43051933,33993030,26627973,26627971,33992960,26151489,26151488,26157831,19812595,19452801,13920864,13920863,19452797,26151315,32838861,32838862,41758569,38719977,38719972,42282698,33558797,26894068,26894069,34973069,42053572,33704338,25898132,254304246,42733920,38046168,29482775,22144699,16026144,11127216,11127215,16026140,16002619,254916640,7368330,4662704,2809072,2809074,2809049,2809050,4662679,4653542,2803490,2803491,2805495,3280079,1929342,1929341,2809029,2803522,1626362,924791,521308,292211,161640,161641,292216,521313,924803,1626387,2803549,4653625,2805437,1627439,925423,521643,521642,925418,1627433,2805426,4656875,7371624,7371625,7366021,4653420,4653422,2803505,2803506,4653570,7366238,11106510,11106472,7366208,4653551,4653550,4662691,7380448,7380449,7366077,4653453,2803435,1626318,1626317,2803431,2805430,4656879,7366061,7366060,7380390,11127167,16026062,22144573,29482631,38045987,47921801,256738604,255888893,16031695,11131557,7383644,4664770,2810357,2810356,4664767,4664807,4664808,7383707,11131664,16031854,22151276,22151275,29489935,38053824,47967091,269336301,47967261,47967260,269371956,59475418,48085406,48085407,255978074,255144364,16117126,22256193,29606350,25546483,24601187,18153509,18153510,24601190,32188834,29323479,29323481,37891403,46638622,46625625,46625624,44414791,44414792,41589881,41589882,40968551,32188833,24601186,18153508,12872893,8754336,8754337,12872895,18153512,24601191,18153559,18153556,24514939,24514940,32088354,28260912,28260911,21204699,15238744,10512213,6931995,6931994,10512209,15238738,21204691,255609780,39003302,39003304,36737371,28242293,21043427,15115372,10426089,10426085,14911546,14911545,20806427,27969457,36428134,36737349,28260864,21059288,21059289,28260870,28670961,28428540,28259814,21058508,15126439,15126438,21058503,28241992,21043187,15115224,15115225,21043193,28242008,28260934,21059325,21059324,21060105,21060104,25796955,19151330,19151332,25796961,33592991,39317098,30718787,23301503,23301502,30718782,28261044,21059389,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,21948391,15858682,10991843,10991846,15858696,21948424,27055663,20162123,14464302,14464303,20162129,27055676,35141204,44517714,47749362,40391696,31698877,24190763,24190762,31359610,23865609,23865608,31359607,40039584,268605276,22397533,16236987,11288430,7494882,4737803,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494526,7494529,11287820,16236016,22396150,255667164,30748252,23326772,23326773,17060798,17060797,23326774,22453477,22453478,29820814,38393060,254660542,26122908,26122909,19459883,13926439,13926441,19459894,21494504,21494506,21379680,19233862,15608418,10798610,10798612,13926579,13926578,13926686,13926688,9558964,8094192,6272245,6272249,9558986,9542981,6260994,6260993,9542977,13905259,19433501,26128335,28202408,21010748,15090309,15090310,21010751,28202415,36692493,257406913,269353882,256431144,28202419,21010755,255801077,36692500 Dl.O(d2) = 47092916,47092915,49790000,61268957,63395295,61268966,49790008,40766046,32010165,24449966,18032756,18032758,256059843,38467756,29910117,22553360,22553359,29910115,38467751,48369271,59751839,51316821,41133186,40766087,39864662,38433125,29873255,25030516,25030515,32716611,41622286,268481108,50242067,61720870,50881925,50881924,62481011,62459877,62459878,52846722,42442278,33449166,33449167,256499312,47536428,47536427,58917344,71637952,85202634,259954731,126974216,113115534,260555035,126974226,140329117,153027580,164865675,154473258,258020028,128476109,256830620,112250041,100558538,100558539,100558541,100558540,98270481,84362103,70803480,255013386,60263644,48870848,255376322,22962932,16726509,16726508,22962931,256289454,22962928,22962929,23377126,23377127,30805239,39410253,49339769,46331520,36476034,28015444,20849651,14949397,10283601,10283602,14949398,20849653,20947878,15039274,15039273,17684934,255579501,23477018,17194620,17194616,255541271,23477017,30913715,29670472,22319320,16174381,11241833,7461827,7461828,7461830,4715248,2840604,1647766,1647765,2840601,1647857,1647856,2840744,4715271,2840626,2840624,4715269,2840630,1647781,1647780,2840627,4715274,7461772,7461771,7461775,4717671,2842116,1648681,937404,937405,1647888,1647889,2840782,4715505,7462150,11241718,7462895,4716038,4716039,7462897,11243146,16176031,22319411,22319410,23013666,23013667,30418744,39008050,48187976,48187977,59574116,58636442,47242723,47242722,42176062,37332689,28795181,24262390,17884452,17884455,15810344,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401176,12430273,17610076,23957389,31450151,31758419,31758420,24262663,17884651,12667923,8602862,8602861,12667918,17884636,24262643,30177930,22789075,22789074,30177927,24148102,24148103,31658187,38681710,38681711,34612017,33993263,26151767,19453063,19453062,26151762,19453077,13920999,9554889,6269575,3925478,2350051,2350050,3925474,6269566,9554863,13920938,19452957,26151588,33992989,33992988,31804325,31804326,40499470,47406674,43051933,33993030,26627973,26627971,33992960,26151489,26151488,26157831,19812595,19452801,13920864,13920863,19452797,26151315,32838861,32838862,41758569,38719977,38719972,42282698,33558797,26894068,26894069,34973069,42053572,33704338,25898132,254304246,42733920,38046168,29482775,22144699,16026144,11127216,11127215,16026140,16002619,254916640,7368330,4662704,2809072,2809074,2809049,2809050,4662679,4653542,2803490,2803491,2805495,3280079,1929342,1929341,2809029,2803522,1626362,924791,521308,292211,161640,161641,292216,521313,924803,1626387,2803549,4653625,2805437,1627439,925423,521643,521642,925418,1627433,2805426,4656875,7371624,7371625,7366021,4653420,4653422,2803505,2803506,4653570,7366238,11106510,11106472,7366208,4653551,4653550,4662691,7380448,7380449,7366077,4653453,2803435,1626318,1626317,2803431,2805430,4656879,7366061,7366060,7380390,11127167,16026062,22144573,29482631,38045987,47921801,256738604,255888893,16031695,11131557,7383644,4664770,2810357,2810356,4664767,4664807,4664808,7383707,11131664,16031854,22151276,22151275,29489935,38053824,47967091,269336301,47967261,47967260,269371956,59475418,48085406,48085407,255978074,255144364,16117126,22256193,29606350,25546483,24601187,18153509,18153510,24601190,32188834,29323479,29323481,37891403,46638622,46625625,46625624,44414791,44414792,41589881,41589882,40968551,32188833,24601186,18153508,12872893,8754336,8754337,12872895,18153512,24601191,18153559,18153556,24514939,24514940,32088354,28260912,28260911,21204699,15238744,10512213,6931995,6931994,10512209,15238738,21204691,255609780,39003302,39003304,36737371,28242293,21043427,15115372,10426089,10426085,14911546,14911545,20806427,27969457,36428134,36737349,28260864,21059288,21059289,28260870,28670961,28428540,28259814,21058508,15126439,15126438,21058503,28241992,21043187,15115224,15115225,21043193,28242008,28260934,21059325,21059324,21060105,21060104,25796955,19151330,19151332,25796961,33592991,39317098,30718787,23301503,23301502,30718782,28261044,21059389,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,21948391,15858682,10991843,10991846,15858696,21948424,27055663,20162123,14464302,14464303,20162129,27055676,35141204,44517714,47749362,40391696,31698877,24190763,24190762,31359610,23865609,23865608,31359607,40039584,268605276,22397533,16236987,11288430,7494882,4737803,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494526,7494529,11287820,16236016,22396150,255667164,30748252,23326772,23326773,17060798,17060797,23326774,22453477,22453478,29820814,38393060,254660542,26122908,26122909,19459883,13926439,13926441,19459894,21494504,21494506,21379680,19233862,15608418,10798610,10798612,13926579,13926578,13926686,13926688,9558964,8094192,6272245,6272249,9558986,9542981,6260994,6260993,9542977,13905259,19433501,26128335,28202408,21010748,15090309,15090310,21010751,28202415,36692493,257406913,269353882,256431144,28202419,21010755,255801077,36692500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15191852, s2 = 14487029, dlinesl.size( ) = 2 s1 = 15191852, s2 = 14487029, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15191852, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 10983579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983579, s2 = 11646886, int(edited[s2]) = 0 s1 = 10983579, s2 = 11646886, d1 = 0, d2 = 7 Dl.O(d1) = 2312834,3822059,6108144,6168931,9415402,254658706,32848555,32848554,34976600,26897432,26897430,32053819 Dl.O(d2) = 8946455,13126425,13126423,18476707,16567425,254463724,7683261,7602447,4809411,4809412,7602450,7599366,4807434,4807436,2897447,2897449,4807512,4898144,4898142,7736162,254504022,4464364,255040865,21528966,28793913,37331212,256330886,55325120,44478914,255407324,25804419,24568705,18128209,12854444,12854443,18128224,20316326,20316324,26281095,28222832,24569346,18128679,18128676,21402804,15415798,15415795,16270730,16201795,11262708,10998584,10998581,9318022,6103840,6103844,9317990,9317973,9317749,9317746,7279912,4591223,2762298,2762299,4591202,7279872,255439733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983579, s2 = 11646886, dlinesl.size( ) = 24 s1 = 11796558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11796558, s2 = 7857531, int(edited[s2]) = 0 s1 = 11796558, s2 = 7857531, d1 = 11, d2 = 13 Dl.O(d1) = 24522278,18090924,18090923,24522277,24522281,18090926,18090925 Dl.O(d2) = 4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256804,455619,267762147,2443511,4083324,6516930,9916452,6519853,4085121,4085119,6519777,6519776,9412912,6167191,6167192,9412914,13351917,9124142,9124141,6531104,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,6517164,6519031,6519030,7759034,4914084,2962173,2962172,4914079,7759027,11646347,12858851,12858852,9505595,8842331,5762613,3589292,3589291,5762609,8842324,9920002,9920003,254921411,9183416,255261289,25450340,256461225,30507204,39103734,39207848,39207847,36964597,32329469,24713783,24713782,32329467,41144346,50530155,62022308,74819318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11796558, s2 = 7857531, dlinesl.size( ) = 12 s1 = 10983759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983759, s2 = 10559808, int(edited[s2]) = 0 s1 = 10983759, s2 = 10559808, d1 = 5, d2 = 6 Dl.O(d1) = 1363583,1363584,2354030,3932057,4807023,4807024,254540059,4819079,7616609,10350168,6815031,6815032,7581695,4795845,4795846,7582255,11409886,7581892,4795594,2892485,1713441,1713438,2445470,2947140,1709232,1709234,2947144,4871566,2935633,2935632,3919201,4892899,7608234,4898519,4898220,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807442,2897447,2897449,4807512,4898144,2952065,2952063,4898133,7729033,7590946,7590945,4817899,4817901,4798800,2892501,2892497,4798783,7586825,11415822,9118261,9118260,6813171,4273430,2555053,1471765,832466,469448,263959,263963,469456,832483,1471798,2555112,4273532,2892109,1678550,1678551,2892114,4798096,4806006,4806008,7597603,7597649,4806033,4806032,7597643,7329115,4629898,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680089,2895112,4803410,7593605,11423748,7616368,4871088,4871089,2956703,1714408,1714409,2956704,4905627,7746686,6279574,6279575,9569607,13187292,8989521,8989522,9194205,13445526,13445528,18558491,18558487,13187234,13187235,18558489,13447312,9195661,9195662,9194757,6019582,6019583,9194761,13446123,13446770,13446778,9195171,6019828,6019827,5032924,5032925,7916536,9195681,9195679 Dl.O(d2) = 9195480,6020072,6020071,254922705,255363987,268600217,258627709,259872757,125549216,138881736,151584160,163467042,174314436,263464475,192441131,183976088,183976086,183976085,262615687,151584156,138881732,125549214,125549213,138881729,129635353,129635352,261820387,151584157,138881733,125549214,125549213,138881729,261820389,163467042,263464477,192441130,183976088,183976086,183976085,262615687,151584156,138881732,125549214,111743268,97821207,259872757,125549216,138881736,151584160,163467042,174314436,263464475,192441131,183976088,183976086,174314433,163467040,151584156,138881732,125549214,111743268,97821207,259872757,125549216,138881734,261820387,151584157,151584158,163467039,151584157,138881733,125549214,125549213,138881729,129635353,260696436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983759, s2 = 10559808, dlinesl.size( ) = 2 s1 = 10983759, s2 = 10559808, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10983759, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10983795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983795, s2 = 11167352, int(edited[s2]) = 0 s1 = 10983795, s2 = 11167352, d1 = 18, d2 = 15 Dl.O(d1) = 1372212,781130,442917,254083305,75066,137751,249480,442921,781139,781150,254150825,267867226,2370410,2370411,3958081,6315049,9614205,6315062 Dl.O(d2) = 13994569,19543841,256181517,43217724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983795, s2 = 11167352, dlinesl.size( ) = 20 s1 = 13171960, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10984285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10673907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10673907, s2 = 10138238, int(edited[s2]) = 0 s1 = 10673907, s2 = 10138238, d1 = 4, d2 = 16 Dl.O(d1) = 259504182 Dl.O(d2) = 31696297,24188632,17820086,17820087,17819834,12616774,8564295,8564296,8564355,12616888,8564464,5561024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10673907, s2 = 10138238, dlinesl.size( ) = 16 s1 = 10984395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984395, s2 = 15251370, int(edited[s2]) = 0 s1 = 10984395, s2 = 15251370, d1 = 1, d2 = 1 Dl.O(d1) = 254127828,1750441,3013540,4989251,7861012,4989248,3013537,1750439,1750438,3013535,3013553,1750451,995384,995383,1526147,254172694,254127828,995373,560388,313768,313769,313773,254072320,52699,29683,29684,52690,95455,173502,313719,560309,995234,1750170,3013084,4988465,4988466,7859711,11772240,16834011,23087430,30501122,39097171,255515532,73176854,86789526,100770591,114822807,128722890,142081944,263588319,201528749,207411849,209466953,204027442,197507885,263428278,170851045,159521935,147162383,133939737,120097542,105886012,105886011,105886014,91679216 Dl.O(d2) = 254127828,1750441,3013540,4989251,7861012,4989248,3013537,1750439,1750438,3013535,3013553,1750451,995384,995383,1526147,254172694,254127828,995373,560388,313768,313769,313773,254072320,52699,29683,29684,52690,95455,173502,313719,560309,995234,1750170,3013084,4988465,4988466,7859711,11772240,16834011,23087430,30501122,39097171,255515532,73176854,86789526,100770591,114822807,128722890,142081944,263588319,201528749,207411849,209466953,204027442,197507885,263428278,170851045,159521935,147162383,133939737,120097542,105886012,105886011,105886014,91679216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984395, s2 = 15251370, dlinesl.size( ) = 2 s1 = 10984395, s2 = 15251370, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10984395, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15251369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10984405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984405, s2 = 11662692, int(edited[s2]) = 0 s1 = 10984405, s2 = 11662692, d1 = 9, d2 = 2 Dl.O(d1) = 2645452,4411826,3978800,254461911,9645702,14030304,19583831,255751224,33013374,30657264,23235963,16963719,11875638,11875636,16963711,14030303 Dl.O(d2) = 6341877,3978799,2384397,1380179,254148829,243994,243111,134380,73043,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39737,39735,73441,135084,244485,432824,760891,1332333,1332665,761118,761117,1325134,1325135,1327588,1327587,2288263,3807971,3807972,6085931,9290436,6095322,3813531,3813532,6095324,9305229,13589916,19038084,25656566,33424584,42415336,52816978,64732885,77923932,259677697,120252567,134088420,147304187,159655372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984405, s2 = 11662692, dlinesl.size( ) = 2 s1 = 10984405, s2 = 11662692, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10984405, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 10984481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10984537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10984633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984633, s2 = 11279878, int(edited[s2]) = 0 s1 = 10984633, s2 = 11279878, d1 = 10, d2 = 12 Dl.O(d1) = 1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589221,8601186,12665642,17881777,20869440,254487304,44621792,35239114,35239116,44621793,55471127,67812744,67812866,81280052,81280051,256971996,81280098,81280097 Dl.O(d2) = 258785612,113060600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984633, s2 = 11279878, dlinesl.size( ) = 8 s1 = 14181898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181898, s2 = 11428256, int(edited[s2]) = 0 s1 = 14181898, s2 = 11428256, d1 = 8, d2 = 25 Dl.O(d1) = 258636752 Dl.O(d2) = 11394326,8772273,8772274,9775201,6427327,4032392,4032393,6427332,9775209,8771911,5712634,5712636,8771917,12896454,14238803,9788195,9788196,14238807,19873566,24639999,18183983,18183981,12896324,12896321,12896428,18184142,24640190,32238060,30044830,22669314,16473612,11477955,7634145,4829738,4829737,7634142,254509192,22592568,21721764,15677367,15677368,21721767,29007944,254745788,22593087,21746622,15694865,10865014,7183559,4525587,4525585,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,4522335,7178953,10858656,15685433,21733694,29023020,30044227,33154582,29029061,29029062,29024894,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,21750328,21750325,24235373,29688124,22335586,16188031,11252414,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,47452421,254229002,40437031,254745708,37570689,29023890,21734330,15685887,10858960,7179175,4522510,4522513,7179187,10858990,15685956,21734461,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,7177292,4521306,2717620,2717619,4521303,7177286,10855907,15680882,21727071,29014890,37561454,31749479,31749477,40444005,50480430,61970654,61966139,50471029,50471031,61966144,58859106,58856746,58856745,71581467,74765938,71595259,71595261,85159848,71593152,58870807,58870808,71574520,58848006,58848004,48093774,38182057,38182058,48093776,50471574,40434069,31739716,24230374,17857405,17857404,24230371,30755998,23333321,23333320,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,31739516,31744342,37588725,29288509,29288508,37857139,37588609,37588610,47492910,37792487,29230347,29230346,29040888,29040889,23620959,23620960,29018348,29018346,37564960,37575065,37575064,47480786,58863165,58877360,50475485,40438474,31744167,24234069,24234070,24235624,17861112,17861111,24235618,31746309,31749795,40444395,40446253,40446254,38618545,30044492,30044491,38618542,48533787,47494787,47494786,50475704,58944434,47561566,37655608,29106074,29106075,37655611,47561568,58944436,71666169,71590499,71576311,58850240,58850239,71576309,62026250,60724141,58875129,47494954,40430601,40430599,50468300,47493663,47493664,58874090,61968471,50474234,40437175,40437176,50474239,40440036,31745670,31745668,40440030,50476846,61970285,58863716,58863717,58862164,47479613,37573810,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,37856824,47780439,39451925,39451923,39797999,39797997,39797899,39797900,49818571,258242771,87686766,101658343,115702266,129588344,142904097,262327253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181898, s2 = 11428256, dlinesl.size( ) = 18 s1 = 13214995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10984697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984697, s2 = 11270724, int(edited[s2]) = 0 s1 = 10984697, s2 = 11270724, d1 = 13, d2 = 11 Dl.O(d1) = 1578674,897567,897566,1578673,2724362,2437660,1409490,1409489,2437657,4060912,254159946,1407494,1407495,1418751,2454296,4103069,6549416,9965135,9866645,255323653 Dl.O(d2) = 257304741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984697, s2 = 11270724, dlinesl.size( ) = 14 s1 = 10984815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984815, s2 = 10994032, int(edited[s2]) = 0 s1 = 10984815, s2 = 10994032, d1 = 0, d2 = 4 Dl.O(d1) = 1602786 Dl.O(d2) = 2765122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984815, s2 = 10994032, dlinesl.size( ) = 8 s1 = 11797010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11797010, s2 = 5233599, int(edited[s2]) = 0 s1 = 11797010, s2 = 5233599, d1 = 33, d2 = 2 Dl.O(d1) = 256650700,37811203,29246512,254925048,7265304,4581742,4581738,4701581,6406660,6406662,6408115,4020260,2409041,2409035,4020245,6408098,9745351,14175628,19790391,19800886,23750498,23750497,30425558,34663020,26670228,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748 Dl.O(d2) = 223138497,220519510,217441357,213751827,264347431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11797010, s2 = 5233599, dlinesl.size( ) = 2 s1 = 11797010, s2 = 5233599, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11797010, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 10984923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984923, s2 = 13298038, int(edited[s2]) = 0 s1 = 10984923, s2 = 13298038, d1 = 78, d2 = 75 Dl.O(d1) = 1634663,1634664,254525715,255079101 Dl.O(d2) = 255754023,26939044,20053028,20053027,22519106,16345674,11373547,7555950,7555949,11373538,15580465,15580466,21609266,28885185,37427148,33080321,33080322,42024357,35217529,27124489,27124490,35217534,33079814,25348901,18767167,18767168,24002031,24002033,27123110,27123107,25349430,25349429,33080552,36940705,31500512,31499015,255206030,12486236,12486237,17656947,17656914,17656915,24001218,255753938,40184421,31499470,24589256,24589255,32175582,33079577,33079576,34095080,26232923,19516819,19516818,25348469,33079218,38209111,38209110,48119582,50207859,50207858,61689843,61423008,60844953,49443144,44596641,35215753,27123120,25347470,18766230,18766229,16225643,16225642,16225623,16225622,22383561,29742758,25347994,18766593,13363354,13363355,18766596,17657808,17657806,17657828,17657831,12554796,12554793,17743779,20220020,14509472,9984066,6562154,4110997,2459033,1421498,1421499,2459040,4111015,6562180,9984104,14509533,20219587,27123451,35216209,33078010,25347628,18766339,255535817,17136611,23411766,24001895,17657325,12486448,8457335,5464683,3360401,1975653,1127830,632409,632410,1127833,1975660,3360418,5464722,8457419,12486618,17657659,24002459,29876159,29876160,38435192,40184986,40184987,50207364,61689544,61690098,70898080,58374887,58184989,46818592,36940707,28441238,28441237,28441227,28441226,36940685,46818573,58184971,48221256,38311406,33078056,31046517,31046518,38038052,47951475,48747164,38827207,268252528,60141642,49744354,254587656,42022806,33078824,25348189,24002828,17657887,12486731,12486732,17657891,17251849,12132310,8162563,8162561,12132302,17251864,23562716,31046556,27122978,27122976,29903366,38439188,38439185,31046675,23562797,23562798,31046682,31500673,24002390,17657621,17657624,23977071,23185230,23185231,30604199,31046724,23562824,17251923,12132343,8162584,8162585,12132345,17251927,23562833,31046734,39725433,41334479,36762400,28266585,21063821,15130119,10435573,10435572,15130117,13431070,13431069,14509142,9983897,6562071,6562072,9983902,14509149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984923, s2 = 13298038, dlinesl.size( ) = 18 s1 = 13273087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13273087, s2 = 10339464, int(edited[s2]) = 0 s1 = 13273087, s2 = 10339464, d1 = 54, d2 = 44 Dl.O(d1) = 22257847,255898277,16118447,16118318,11196402,7429117,254352701,1641121,933202,525975,294732,162986,162985,294724,525965,933177,1641085,2828461,4694292,2828426,2828394,2828393,2828761,2828762,4694908,7429817,11196081,7428893,7428894,4694423,4694422,7428900,7428899,7430184,7430188,7429273,4694560,4694559,2828914,2828913,4695148,4694334,4694336,2828543,2828542,2828559,4694539,7428888,7428887,7429882,4694967,2828800,2828801,2828828,1641363,933325,526027,294752,163000,89586,89585,162994,294744,526008,933269,1641263,2828812,4694237,2828400,2828401,4694242,4694895,4695107,4695108,7430079,4695203,4695202,7429091,7429090,11196384,11197588,7429992,4695055,2828858,2828857,4695050,4695157,4695156,7429139,4695226,4695225,7429216,4694530,4694529,2828920,2828902,2828901,4695135,4695000,2828831,1641277,933276,933274,1641270,1641335,933308,933306,1641323,2828786,1641250,933259,933260,1641253,2828794,4694954,7429864,7428846,4694446,4694448,4695113,2828896,2828897,4695122,7428835,4694222,4694221,7428830,11196116,11197777,11197546,7429952,4695027,4695026,4694466,4694464,4694458,4694457,7429144,11196422,7429189,4694484,2828530,2828528,4694475,7429174,4695093,2828886,1641309,933295,526016,526014,933287,1641300,2828878,2828837,2828838,2828866,2828781,1641244,1641243,2828776,4694936,7429850,4695021,4694888,4694887,7429129,7430116,4695130,4695129,7430087,11196118,11196119,11197825,11196446,11196447,7430158,4695186,4695184,7430154,11197388,11197389,7430135,7429136,7429135,4695181,4695180,7430145,11196486,16118375,11196457,11196456,11196461,7429972,4695041,2828850,1641284,933280,933281,1641286,2828853,4695014,4695005,4695004,4695065,4694926,2828768,2828767,4694921,7429836,11197432,11197596,7429998,7429999,11197601,11197519,7429932,7429931,11197514,16119686,16118352,16118353,22257353,16119929,16119920,11197761,11197762,16119924,16118343,16118342,11197753,11197752,16119907,22259001,22257802,16118406,16118404,22257797,22257763,16118381,16118380,16119712,11197553,7429976,4695042,4695043,7429979,7429937,7429938,11197535,7430017,7430016,254527657,4694914,7429827,11197420,16119566,22259054,22259262,16119763,16119765,22257733,22259116,16119622,16119623,22257792,22257791,255459868,22259436,22259368,16119855,16119854,22259025,22259026,22259029,18352814,13029528,13029529,18352820,22259237,22259236,29609372,38175149,29608230,29608229,25150433,22259198,16119678,16119677,16119740,11197573,11197572,16119703,22259216,18593670,13213159,11197623,11197624,16118295,11197417,11197416,16118836,22258238,22259050,22259058,25962999,19297176,19297178,22259127,16119628,11197464,11196472,11196473,16118393,22257782,22259077,22259078,25150591,22257724,16119552,11197411,11197410,16119549,22259034,22259226,22259225,29609518,38175087,29609377,29609376,38176081,32857360,25150437,18593583,18593584,22259192,22259191,22259406,22259244,22259210,22259211,29609509,25150571,18593664,18593662,22257694,22257693,22259043,22259042,29608723,256394826,38176391,38176271,38176270,32857267,25150378,25150361,25150360,29609431,29609430,29609424,29609425,25150470,18593609,13213122,13213123,13213168,18593685,25150523,29609323,29609322,25150412,25150414,32857341,41777925,52091407,41778096,41778097,38176051,38176052,41778018,41777939,32857347,32857346,41777935,38175112,29608170,22257718,22257717,29608164,38175106,48087284,48087294,38175123,29608176,29608174,38175117,38176057,48087305,41777900,32857321,25150396,18593571,13213108,13213106,18593564,25150373,32857291,32857296,25150494,18593622,13213128,9006854,9006855,9006859,9006858,13213141,18593642,25150534,32857461,41777921,41777922,42802199,33770413,33770411,42802194,41777904,41777906,41778020,32857501,256622539,32857399,25150475,25150476,32857404,41777984,52091437,42126741,42126742,52091379,41777886,41777885,41777860,32857273,32857274,38174712,31475933,31475932,27126025,27126026,29599388,38166173,32857466,32857465,41778049,52091464,52091511,42122123,42122124,35219285,35219283,33170569,33170568,42126752,41777959,41777960,48088520,48088518,52091525,63910208,63910155,52091536,41778144,32857533,32857534,41778150,46799885,48079166,48079167,41777975,32857394,32857393,25150510,25150508,32857453,41778032,42126738,48088410,38176543,38176545,48079174,38166219,29607753,29607752,38174717,38166178,29599390,22249966,22249967,29599396,38166184,48079141,48079170,41778113,32857510,32857509,41778106,35219289,35219288,27126001,20221401,20221402,27126005,35219327,44600104,48088523,52091488,52091486,52091484,59470117,55449395,51346039,51346038,48088494,38176622,29609839,29609840,38176626,48088503,50623699,41778029,41778028,41778031,41778077,35219253,35219254,44600036,48088415,44600019,35219233,35219234,35219222,27126031,20221418,14510482,14510483,20221423,22249978,22249974,29599405,38166197,257516307,72208237,258126595,48088510,48088509,59478176,59478175,257690494,256558766,27126033,35219355,44600139,48088532,38176644,38176643,31687899,31687900,29609782,22259491,16119956,16119954,22259483,29609768,38176511,48088385,38781463,30196964,30196963,38176539,48088404,48088589,48088345,38176615,34274581,34274579,33415026,33415027,42404923,48088476,42404928,33415033,33415031,40490914,38176464,29609740,22259466,16119947,16119948,22259472,29609751,38176484,44599995,44599993,51823235,51823236,44600116,42170995,33211385,33211386,42171001,50296434,40275766,40275765,50296433,61775978,61906775,59446723,48055138,38141488,38141489,48055141,59446713,48088353,48088352,58166758,58166757,48703882,48703881,59478209,58167623,58167624,58166618,48088581,42404914,256555534,52805046,42404930,33415034,29609723,29609722,38176411,38176410,29609736,29609737,29609752,22259510,22259509,29609822,38176600,46799865,46799866,58167264,55449384,55449385,67792000,61775990,50296449,40275778,31590827,31590825,40275771,50296444,52805137,42405022,42405021,52805134,58168330,58168329,48088364,38176490,38176489,46800513,46800512,52805003,52805004,58167629,46800207,36922128,36922129,46799279,57872068,46516172,36649068,28173565,28173564,36649064,33415015,25647485,25647487,22259447,16119936,16119935,22259444,25647456,33414968,38176567,38176568,48088440,52805020,48088371,48088370,59478003,59478004,50296478,40275801,31590844,24087105,24087104,31590839,38176418,38176416,48088272,59478030,58168340,46800870,46800869,47072658,47072660,58449791,61978372,52805010 Dl.O(d2) = 243430,134530,134529,243429,431219,758416,1328413,2289586,3821494,2289561,2289562,3821495,3821501,6107608,9324019,13616954,9324065,6107630,3821516,3821515,6107629,9324064,13617015,255276265,9324013,6107603,6107602,9324011,9324072,6107635,3821519,3821520,6107638,9324078,13617029,19073710,25699374,33472245,42465504,52869289,64788077,77981841,91906038,93248954,79133441,65778589,53721803,53721806,259101281,107651853,107312752,259087213,77981649,77981650,91905818,106100722,107312749,107312726,92907843,78801760,65471729,65471730,78801764,92907847,91905823,77981653,77981652,91905822,259718091,92907865,78801789,78801788,92907862,260336427,92907853,78801771,269933477,51208491,268711249,18198611,12908110,255223291,256075109,41051478,51208500,62858526,75822332,89604375,89604306,75822280,75822281,89604308,89604357,259077858,257832234,62858495,53703358,53703359,257239838,93233712,258146814,84458557,94438544,84980821,71406845,58672692,47281483,37372163,28832501,21561835,254536676,7100913,4470841,2686148,1556027,1556028,1555991,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,7553704,7553705,10751494,7104013,4472629,2687127,2687047,1556484,1556483,1556368,1556369,2686834,2881164,2881162,4472424,2881077,1671820,951117,536338,300744,300745,536342,951126,1671836,2881110,4780684,7104347,4472804,2687220,1671431,1671430,2880235,4779345,7558226,4779590,4779589,7557617,7557616,4780408,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,16349700,11377119,11377121,16349705,22522805,29790957,22425360,16259008,11304100,11304097,16259005,22425356,22513655,22513654,22527132,18725433,16230030,16230031,22388978,17587746,16355365,16355364,22528123,17182266,12196302,12196304,17294237,12173096,8205345,8205344,11383740,16357876,17254753,17182178,16341962,16341964,17317815,17317780,12192984,8223272,8223274,12192989,11655558,11655557,16346527,21567884,15545687,15545688,17333385,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550440,5959693,3727016,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,4772335,4772334,7545618,9929888,9929890,10746842,10746841,15539219,12206174,8343984,5385558,3311702,3311705,5385569,8188547,12157969,16951195,11863813,11863810,16804066,15158284,10453825,10453827,15158292,21102737,17330679,17316682,17316683,23615255,17302150,12180116,12180115,13330684,18725945,25300392,21616099,15586260,15586261,16322845,16322844,267907370,254397302,23650281,23650280,22481935,16310497,16310499,17336657,12210848,8241721,8241720,12210845,17336654,17514822,22497100,16323076,11356134,254238588,4772049,7545030,11356131,16323069,22497085,25704533,19077993,13620327,13620326,19077989,21568526,15546287,10752088,7546895,4773061,4773058,7546928,11359267,16327530,254777462,37922454,29355794,22025095,15923926,11046682,11046684,15923932,22025105,22438035,16319811,11354048,7543934,4771520,4771521,4859903,4859905,5179077,5179080,8083078,12022851,11091721,11091720,15977785,21368930,17237086,12119841,12119839,16321494,11355104,7544490,7544489,11346156,7539657,4769372,4769373,7539661,11346163,16307284,16307838,16307836,16305609,11345060,11345062,16305617,16305152,11344776,7538935,4769041,2875073,267831215,7539093,11345083,11491912,11491910,16494024 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984945, s2 = 14294475, int(edited[s2]) = 0 s1 = 10984945, s2 = 14294475, d1 = 3, d2 = 12 Dl.O(d1) = 1929402,3280165,5325964,5325965,8255845,5366355,3299067,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103835,1932456,267843807,5346851,8287831,8287832,6932159,4355397,4355396,6932155,8257051,5326815,3274164,254587313,12229359,269147148,11237835,255464387,254846609,8307630,12272979,12272978,17414375,16163671,16163672,12524758,8486531,5487388,3378159,3378158,5487386,8486528,7452385,5346791,3285942,1932386,1932387,2838142,1932380,1103802,1103801,1932371,3285904,5346722,7460027,4713882,2839741,1929279,1647292,1647295,2838775,1646773,936367,936365,1646760,2838748,4712195,4712297,4712295,7457574,11236604,12036493,8091910,5184247,3162868,1851484,1851487,3162876,5184259,8091922,8554945,12587782,11520718,7663553,7663554,7453284,4709152,2836827,2836828,4709153,7453286,11231907,16164722,255902567,22314100,16168897,16168898,17732420,16173413,11240837,11240836,11236571,7457549,7457550,11236574,12534880,11232178,8517817,8517820,7894596,7894595,11235877,9908595,6512392,6512393,7454820,4710254,2837563,1646091,936029,936030,1646094,2837570,4710293,7452955,7452957,7452450,7452452,11230991,11231452,15553867,10757870,7107582,5505342,3394186,3394187,3394176,3394177,5505325,8504836,8488557,5489539,3380203,3380200,5489530,8488538,12526894,8527356,5525932,3412366,2013922,1151890,646193,358578,196377,196375,358571,646177,1151863,2013880,3412294,5525824,7893696,7893695,6349150,3983664,2387546,1382153,1382155,2387553,3983672,5554968,5554970,5576350,5576349,8556711,8504961,8504960,12545775,11235790,7456850,7456851,11235796,12581596,8543545,8487046,8487042,12525279,8529635,5527719,3453579,2060934,2060932,3474077,2254045,1308201,746837,424414,239591,239596,424429,746864,1308258,1160916,1160920,2027728,3429757,3763715,3437597,2033602,254280545,1169553,1169551,2040855,2836638,2836637,254237205,1645564,2836632,254280503,1164535,653512,653514,653505,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,1153689,1152006,646545,358764,196477,195818,195816,357486,644093,1148137,2008046,3404738,5517998,8519791,5554060,5554061,8493751,5494787,3384886,2002619,254276809,3384888,3384889,254865863,8536411,5534382,5534383,3436545,2032895,2032894,3436540,267869673,5528743,5528742,3435273,3435272,5491025,5013940,3032223,1764415,1764418,3032194,3032195,2011441,1150288,645263,358060,358058,645251,636602,636601,1134510,1134495,1134492,1985773,2046374,3385107,5495015,254409741,1986276,1985877,1985876,3374422,3784180,3784181,3037322,1768187,1007634,1007636,1007651,649975,360534,197403,197404,360541,649992,1158509,2024290,3425899,2058787,2058788,3471307,5594721,8520290,8520291,254419277,2046481,2046482,3449565,3037695,3037694,5019900,5020299,5020298,255199059,6790508,6790507,10321113,12260100,8279763,8279762,12260098,17397225,23721090,255469240,49907256,61387637,59232232,47834998,258108079,85557006,257474054,50824708,40720793,257420042,62406429,62406428,75304215,70445206,70445207,57997648 Dl.O(d2) = 17381510,23704218,26733729,26733730,34753768,35231085,27136509,27136508,35231083,43316995,43316996,47668632,47668631,48289319,48289318,44502124,35124332,27037196,20144312,14449818,14449819,20144315,16622587,11594922,7718569,254798145,16622583,22845993,30239283,33245654,30240861,30240862,33268496,33268497,38827792,38827791,254954868,52283111,41942565,257182833,33000692,25275689,25275690,25237569,18668586,268162625,9647573,14032513,19586288,26311181,30384216,22981960,16744621,16744622,22981964,21634477,15602920,14517765,9989609,9989608,14517760,20231503,27138685,35233728,44615342,42807591,42807590,53260587,54641706,257885863,46766476,53137146,46766474,46766475,58134277,49765281,49765282,59336727,72071034,257751718,38031030,29468409,29468410,38031032,40256135,31568543,25039204,18505155,18505156,25039212,27010754,28947619,37490332,29602519,29602518,38169461,44485219,44485218,55331279,67550478,59681248,48294522,38384005,29811700,22444600,16275656,15804731,10951624,7248075,4570240,2749009,2749008,4570238,7248070,10951617,15804725,21880273,29192096,31675505,24165971,17798244,12598781,12598782,17798246,268441511,256008522,18617420,25176922,32886036,29098517,21800852,15740718,10901468,10901469,255427723,29098526,32886066,32886068,257177233,41808697,32886030,32886031,41808699,52124333,41808856,32886174,25177018,25177017,32886172,32886197,25177043,25177042,32886195,41808874,52124509,51179256,41022945,32230900,32230901,41022923,32230884,24633719,18178771,18178772,24633721,25415937,18824657,18824658,21640334,15608577,15608576,21640332,28914652,37453949,40973184,40973185,51103590,40961695,32182591,24595571,18149015,18149016,24595573,32182594,38851596,30267535,30267534,38851594,32230955,24633771,18178806,12892233,12892234,18178807,24633772,32230956,41022999,46485359,46485360,268959968,258176004,259109458,73588142,73588141,87210346,260687315,99628781,259043320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984945, s2 = 14294475, dlinesl.size( ) = 14 s1 = 10984949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984949, s2 = 11152220, int(edited[s2]) = 0 s1 = 10984949, s2 = 11152220, d1 = 56, d2 = 30 Dl.O(d1) = 1647215,1647214,2839615,4713614,7459503,11238963,16171304,21064555,21794191,21062521,21062522,21067895,28265211,28265210,31184397,23694628,17372278,254370088,22974426,22974427,29525555,29095441,21797932,15738377,11404845,7578710,4793684,4793683,7578705,11404834,16386596,22567190,29097117,21799714,254398460,254398462,10435372,6879550,6879549,7670498,6879904,6879903 Dl.O(d2) = 259442144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984949, s2 = 11152220, dlinesl.size( ) = 50 s1 = 13173838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13239759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13239759, s2 = 11359946, int(edited[s2]) = 0 s1 = 13239759, s2 = 11359946, d1 = 28, d2 = 31 Dl.O(d1) = 1677394,1677396,2890025,4794000,7579239,7579690,11173102,11173101,11405711,11406754,7579899,7579898,7579906,7579907,11406764,16389080,22570019,22569812,16388847,11406512,7579732,4794267,2889999,1677386,954322,538077,301656,254100833,954316,1677376,2889979,4794226,7579575,7579577,8259842,8259841,12232526,16388437,11406125,7579489,7579488,11406116,7579529,7579528,7579241,6363903,6363904,9676245,14070188,254749794,7710051,4879438,4879436,7710049,10596670,10596671,15341557,21311528,28534095,28348066,21134962,15185249,10474477,6906364,4337764,4337766,2596936,1498087,1498088,2596945,4337845,5339190,5339189,8274794,12252287,8274830,5339232,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5570264,5570265,8574386,12628917,17716603,17716605,12543592,12543589,17729691,24064560,24064558,17738504,12550935,12550934,12540625,8501388,8501389,12540628,17198849,254193378,24087497,24087496,28830394,31641205,25888559,19228859,19228860,22181244,22569649 Dl.O(d2) = 259451791,259451789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13239759, s2 = 11359946, dlinesl.size( ) = 36 s1 = 10985073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985073, s2 = 11215790, int(edited[s2]) = 0 s1 = 10985073, s2 = 11215790, d1 = 0, d2 = 11 Dl.O(d1) = 2896147 Dl.O(d2) = 255921841,257542749,257542746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985073, s2 = 11215790, dlinesl.size( ) = 12 s1 = 10985111, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10985163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985163, s2 = 11221392, int(edited[s2]) = 0 s1 = 10985163, s2 = 11221392, d1 = 0, d2 = 8 Dl.O(d1) = 2938580,2938132,2938131,4876117,5413928,8389760,7704614,4876225,2938613,1704045,1704044,2938611,4876916,254796623,16599545,22819002,30210955,38795360,256283692,44405200,35036574,31168566,31168567,39850545,256986800,35016580,32768348,32768347,30693679,23278647,17020168,11935929,7988101,5084118,5084119,7988104,11935938,17020186,21784182,29082058,35019998,26939068,26939065,20058857,14374075,14374077,255488122 Dl.O(d2) = 9986364,10893396,11395444,11395446,255047529,7146458,7146460,10814048,15627621,21663281,26925442,268336951,17815692,15860553,15860552,20068160,26952506,255550471,17331304,23648180,256505137,49841623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985163, s2 = 11221392, dlinesl.size( ) = 2 s1 = 10985163, s2 = 11221392, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10985163, Dl.E( ) = 14, 2.22e-05 seconds used appending s1 = 13174524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13174524, s2 = 11062816, int(edited[s2]) = 0 s1 = 13174524, s2 = 11062816, d1 = 20, d2 = 23 Dl.O(d1) = 1746492,1746491,3006323,4976717,7840005,11742655,16794341,12034668,11548041,7682870,7682869,11548035,16566493,16915892,11838561,7911833,5029634,3044744,1773324,1773325,3044749,3999878,2397102,1387212,788952,788954,1387220,2397119,2397030,1387185,1387183,2397025,3999684,6374258,9690998,11614684,12034660,10246917,6732611,6732612,9689798,6373617,3999347,2396852,2396853,3999351,6373629,4861359,4861360,7683172,11548581,12028248,8086492,5181141,5181140,8086489,8086472,8086473,5182868,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,6891403,6891404,10454546,15159502,17747999,12557894,12557896,15233707,10703165,7071240,4452071,2674625,1549298,1549299,2674627,4452074,7071244,10703174,15477630,17124880,21480793,21311639,15477621,15477622,21480797,268264956 Dl.O(d2) = 254348765,1618950,920830,267765931,2790613,2791145,4633333,7334849,11062200,15941675,22044602,29375389,22273692,22273690,29358604,22065908,22065910,29396305,35222283,29393170,22065916,15961178,15961177,15950811,15950812,15966107,15966108,22071042,29345766,22013769,22013768,22062354,18682396,18682395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13174524, s2 = 11062816, dlinesl.size( ) = 28 s1 = 10985513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14181971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048923, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10985553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985553, s2 = 11217396, int(edited[s2]) = 0 s1 = 10985553, s2 = 11217396, d1 = 1, d2 = 5 Dl.O(d1) = 1857269 Dl.O(d2) = 1059900,1857268,3172796,5200707,254829325,17169097,23443515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985553, s2 = 11217396, dlinesl.size( ) = 8 s1 = 14499623, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10985593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6573229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16172499, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10985815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985815, s2 = 11228540, int(edited[s2]) = 0 s1 = 10985815, s2 = 11228540, d1 = 15, d2 = 1 Dl.O(d1) = 3329666,5416321,8392512,12416888 Dl.O(d2) = 51310690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985815, s2 = 11228540, dlinesl.size( ) = 14 s1 = 13176440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10985993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985993, s2 = 11022478, int(edited[s2]) = 0 s1 = 10985993, s2 = 11022478, d1 = 11, d2 = 14 Dl.O(d1) = 254414855 Dl.O(d2) = 1765417,3033551,3414970,2015791,2015790,2030191,1162599,1162298,1152851,646735,646736,1152854,647920,359470,196843,107388,107390,196852,359490,647954,1154922,2018675,3403431,2007092,1147496,1147498,1138546,638788,354716,194461,194459,254136973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985993, s2 = 11022478, dlinesl.size( ) = 20 s1 = 10986097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986097, s2 = 11256928, int(edited[s2]) = 0 s1 = 10986097, s2 = 11256928, d1 = 9, d2 = 3 Dl.O(d1) = 3474613,5598135,8612798,12681011,256048231 Dl.O(d2) = 50526045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986097, s2 = 11256928, dlinesl.size( ) = 8 s1 = 10986111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986111, s2 = 11149646, int(edited[s2]) = 0 s1 = 10986111, s2 = 11149646, d1 = 17, d2 = 8 Dl.O(d1) = 2066147,1185936,1185937,2066153,3481005,5605959,8622410,11923487,7977559,7977557,11923481,8156337,8156339,12125117,12146967,8176774,5246396,3204635,1876542,1070532,1070530,1876540,3204630,5246382,8176736,12146899,17267489,16599877,11577266,11577267,16599881,16565235,14196825,14196823,17267333,23579145,26628875,19817586,14196578,9759158,6416717,4025634,2412370,1396289,794408,794409,1396291,2412375,4025643,6416742,9759196,14196637,14198344,14198342,19663918,26397943,23391078,23391079,23179691,16914788,16914789,12030357,12029412,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089198,12032561,12145984,17116899,15604198,10795266,7132482,254297654,12032700,8089277,8089279,254915830,9691316,9691315,256708075 Dl.O(d2) = 65958029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986111, s2 = 11149646, dlinesl.size( ) = 14 s1 = 13177546, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14894041, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14845036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10986771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986771, s2 = 11032728, int(edited[s2]) = 0 s1 = 10986771, s2 = 11032728, d1 = 14, d2 = 12 Dl.O(d1) = 3689189,5904487,9036943,13247918,18546298,18546299,25092434,32790620,41706233,52016651,48751476,38831402,30247898,22853420,16628199,11598781,7721102,4887176,254547513,9085624,6821716,4279378,4279377,6821713,10357688,255202987,8600656,8600657,12665120,10332851,10332852,15002578,10337454,10337455,15007461,13312167,13312168,18705506,254939609,254305325,2306101,3848839,254663169 Dl.O(d2) = 255808550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986771, s2 = 11032728, dlinesl.size( ) = 14 s1 = 10987043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987043, s2 = 10979442, int(edited[s2]) = 0 s1 = 10987043, s2 = 10979442, d1 = 11, d2 = 8 Dl.O(d1) = 254447769,254928007,18966419,268495695,12981779,255363308,16724267 Dl.O(d2) = 255627484,254291368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987043, s2 = 10979442, dlinesl.size( ) = 14 s1 = 13178640, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10987077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987077, s2 = 11239100, int(edited[s2]) = 0 s1 = 10987077, s2 = 11239100, d1 = 12, d2 = 11 Dl.O(d1) = 2279730,1322172,754351,754348,428662,241951,133810,73090,73091,73401 Dl.O(d2) = 244810,433369,761776,267812981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987077, s2 = 11239100, dlinesl.size( ) = 14 s1 = 15355812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987121, s2 = 14020898, int(edited[s2]) = 0 s1 = 10987121, s2 = 14020898, d1 = 26, d2 = 25 Dl.O(d1) = 254148001,428656,241950,133810,73090,73091,73401 Dl.O(d2) = 73424,135036,244403,432722,760736,1332070,1324241,755685,429396,242369,134018,72881,72878,134002,242340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020897, s2 = 10987122, int(edited[s2]) = 0 s1 = 14020897, s2 = 10987122, d1 = 7, d2 = 9 Dl.O(d1) = 3843962,3877997,3877995,6196019,9450944,13784544,13902792,13931873,9681804,6367905,3995686,2394492,1385703,788120,768218,768216,1341748 Dl.O(d2) = 2312835,3822060,3928885,3876660,2351189,2351187,254148000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020897, s2 = 10987122, dlinesl.size( ) = 10 s1 = 10987197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15893950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15893950, s2 = 13049279, int(edited[s2]) = 0 s1 = 15893950, s2 = 13049279, d1 = 14, d2 = 18 Dl.O(d1) = 29506691,22166533,22166534,29506693 Dl.O(d2) = 39531970,49465592,60868924,73619549,87241306,101241686,115320084,129247993,142617943,155253469,166936908,177474107,186779809,194884028,192286355,263051939,163274632,261595197,125334088,111512948,97569513,83693320,70170078,57505069,46193821,36367834,36367833,46193820,57505068,57505067,270265125,83693319,259859777,111512947,125334086,138675986,151386096,163274630,263051937,183805593,192286352,199592447,205775666,210888419,215064979,218503435,219020093,215661051,211599276,206630388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15893950, s2 = 13049279, dlinesl.size( ) = 16 s1 = 10987469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10477588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10477588, s2 = 10987518, int(edited[s2]) = 0 s1 = 10477588, s2 = 10987518, d1 = 5, d2 = 16 Dl.O(d1) = 26242536 Dl.O(d2) = 19525439,19525334,13978350,13978351,13978399,267864666,254944614,255697246,18908899,13477258,13477259,18908900,19525371,13978380,9600406,6304226,3950501,2365584,1369587,779774,779773,1369585,254309625,6304219,3950519,2365598,1369593,1369594,2365600,3950524,3975203,6337056,9639871,14023294,19525443,13978451,9600467,6304275,6304274,9600447,254149922,19525434,19525417,254666890,254522175,2792801,2792802,4636438,7340232,11070010,15951501,15945208,11064968,7336651,7336650,11064966,15945205,254762769,4636085,4634518,4634519,4638873,2794114,1620694,921658,519606,519605,921650,1620677,2794085,4638761,7342573,4637749,2793521,1620392,921519,921518,1620385,254349113,7342524,10257917,10257918,14917728,20813714,27977212,29385515,29385514,27976975,268196037,14917471,20813437,27976973,29383361,29383362,26662480,268110196,22065036,29395329,254921868,21803455,26242430,19525355,13978367,9600398,254460633,2365578,1369584,1369585,254309625,6304219,3950519,2365598,1369593,1369594,2365600,3950524,3975203,6337056,9639871,14023294,19525443,13978451,9600467,6304275,6304274,9600447,6304258,6304259,254094584,6337054,9600387,6304205,3950489,3950488,6304203,9600384,13978348,13978425,18908897,19263892,13978732,13978731,13978619,13978620,13978730,13978820,9600796 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10151942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179538, s2 = 10997408, int(edited[s2]) = 0 s1 = 13179538, s2 = 10997408, d1 = 13, d2 = 11 Dl.O(d1) = 9552941,6268253,3924631,2349544,2349545,3924637,6268234,6268230,7056342,10682028,8906058,8906057,13069682,13369643,9137448,9137446,9552798,9552800,6268181,3924600,3924599,6268175,9552827,9340943,6118488,5188650,5188655,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023029,254922937,255607886,13452021,13366877,9135375,5978119,5978118,9135373,13366873,18273213,254916316,24371672,24371673,20105908,267863988,6515603,6515604,6515712,6515713,5828243,254635981,13102493,18444905,18773229,24780048,21967969,15874157,11002966,7283675,4593320,2763420,1601905,1601907,2763411,4593291,7283634,11002921,254471514,29294756,255744930 Dl.O(d2) = 258718804,40894842,40894843,51032670,60084630,259916638,48056574,38142910,29576199,29576200,257435896,49290124,60691482,51381089,41190814,32372414,254314158,254314160,5754356,268014195,32372418,41190820,47789827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179538, s2 = 10997408, dlinesl.size( ) = 14 s1 = 13179548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179548, s2 = 7806923, int(edited[s2]) = 0 s1 = 13179548, s2 = 7806923, d1 = 6, d2 = 8 Dl.O(d1) = 2350852,254459147,254452993,2301966,1335814,762972,434037,433908 Dl.O(d2) = 433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433862,433859,762665,1335218,1335217,2301067,3840641,6138591,9371398,267935071,6138591,9371399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179548, s2 = 7806923, dlinesl.size( ) = 10 s1 = 7806922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7806922, s2 = 13179547, int(edited[s2]) = 0 s1 = 7806922, s2 = 13179547, d1 = 8, d2 = 3 Dl.O(d1) = 25602561,18990306,267935070,25602560,18990306,13551143,9276899,6076588,3802045,3802047,3825985,3829246,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920 Dl.O(d2) = 2292175,2292177,3825933,6114817,9335340,254452992,254459146,15100964,13562886,13562887,19004028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7806922, s2 = 13179547, dlinesl.size( ) = 2 s1 = 7806922, s2 = 13179547, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 7806922, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10987745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10609816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987987, s2 = 14310751, int(edited[s2]) = 0 s1 = 10987987, s2 = 14310751, d1 = 0, d2 = 20 Dl.O(d1) = 4074505,6502423 Dl.O(d2) = 268337123,26956231,26956230,35036216,257306669,26956229,35036213,44410762,55258339,67600033,81068207,81068204,257906365,257906367,67600031,81068202,81068206,257906369,44410760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987987, s2 = 14310751, dlinesl.size( ) = 22 s1 = 15206173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988093, s2 = 11196952, int(edited[s2]) = 0 s1 = 10988093, s2 = 11196952, d1 = 3, d2 = 23 Dl.O(d1) = 2459668 Dl.O(d2) = 256805637,271531092,259653936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988093, s2 = 11196952, dlinesl.size( ) = 2 s1 = 10988093, s2 = 11196952, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10988093, Dl.E( ) = 30, 1.88e-05 seconds used appending s1 = 10988095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040931, s2 = 13298903, int(edited[s2]) = 0 s1 = 14040931, s2 = 13298903, d1 = 7, d2 = 19 Dl.O(d1) = 20120108 Dl.O(d2) = 1413808,804378,804379,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1429477,813225,813222,1429437,2445205,1429477,1413807,1413805,2445214,4087217,6523254,9925395,14429070,14591817,14591818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040931, s2 = 13298903, dlinesl.size( ) = 2 s1 = 14040931, s2 = 13298903, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14040931, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 13197459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13197459, s2 = 14117974, int(edited[s2]) = 0 s1 = 13197459, s2 = 14117974, d1 = 4, d2 = 7 Dl.O(d1) = 9088662,9088665,6749991,4229592,2528886,1457373,1457374,1459354,2532484,2226904,1291574,1291576,2226914,3718915,4235103,3306692,3306691,5377460,8331921,6804741,4280309,4280310,6821912,4279520,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,6754378,5373483,5373482,5588306,3466936,2547753,2547750,4261579,6796436,10327883,10350432,8598044,5586840,3466089,3466088,5586835,8598034,255154845,9057859,5922066,3703069,3703067,2539952,2539949,4248476,5956036,5956037,6865340,6865339,6774657,6346680,6346676,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796835,1399958,1749313,1749315,254660582,430777,243151,134397,73056,73062,73402 Dl.O(d2) = 39730,39729,73424,135031,244390,432703,760711,757161,757162,1326493,2286539,3816752,6100127,9312355,13599801,19050796,25671594,268753069,42434727,52839818,64760436,77955824,91881006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13197459, s2 = 14117974, dlinesl.size( ) = 8 s1 = 14117973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117973, s2 = 13197460, int(edited[s2]) = 0 s1 = 14117973, s2 = 13197460, d1 = 9, d2 = 5 Dl.O(d1) = 161822208 Dl.O(d2) = 2312836,3822067,6108123,3844579,3831820,2295761,254660583,11118075,11118073,14561582,10020084,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,16297303,16297307,14941343,10276270,10276271,14941352,14608273,10051915,10051914,11509017,13729914,9405637,9405636,13729909,255154844,9352067,7128006,7128007,10788607,15595455,21626267,18234653,12934066,12934068,10309449,10309447,7535812,7535809,8659829,8659830,10695900,7066207,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090216,13308938,18702007,20845917,14945448,11250041,7467964,6836736,6836737,10375484,13636223,12338403,12338405,10785746,7436869,4699254,2831207,2831209,4699182,4699131,4699132,7436670,11207882,14941760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117973, s2 = 13197460, dlinesl.size( ) = 12 s1 = 10988255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988255, s2 = 15279192, int(edited[s2]) = 0 s1 = 10988255, s2 = 15279192, d1 = 0, d2 = 12 Dl.O(d1) = 2530448 Dl.O(d2) = 832011,832010,1470909,2553571,2548514,1468098,830520,830519,1468096,254323787,6798054,8473454,5477219,3370472,3370473,5477220,8473455,255190083,24037879,256537329,50247206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988255, s2 = 15279192, dlinesl.size( ) = 2 s1 = 10988255, s2 = 15279192, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10988255, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 10988271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988271, s2 = 11205562, int(edited[s2]) = 0 s1 = 10988271, s2 = 11205562, d1 = 24, d2 = 4 Dl.O(d1) = 254155105,262777,145606,145605,262774,466970,827224,1461413,2536098,4241730,4240087,2535164,2535163,2541404,1464197,1464199,829174,829175,1465346,2543484,4254639,6786806,6787685,5377393,5377395,5946887,8781691,6798132,6771224,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770728,4243692,3372154,3372151,1984291,1984290,3372202,5480081,4286294,3467064,2055851,1179369,662187,662189,1179087,833870,470099,264248,264247,470095,833860,1474609,2560513,4235291,4235292,4250265,2540891,2540892,4250270,4010031,4010032,6389619,6792085,6792086,10322034,6791336,4257914,2545521,1466511,829761,829762,1466516,2545530,4245885,2538550,1462732,827846,467250,262891,262889,467241,827812,1462639,2538387,4245630,6773572,6815713,4275033,2555903,2555902,4275029,6815709,6803274,6803275,5211289,3179380,3179379,5211286,6826100,254712893,9647613,13271518,13271519,255646613 Dl.O(d2) = 77201056,64059837,61425196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988271, s2 = 11205562, dlinesl.size( ) = 24 s1 = 10988305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988305, s2 = 10867835, int(edited[s2]) = 0 s1 = 10988305, s2 = 10867835, d1 = 10, d2 = 19 Dl.O(d1) = 2549778,2549776,4259107,2546208,1466881,1466882,2546212,4259117,4259237,2546275,2546274,4259230,6793199,9089134,6776850,6776853,6765191,6765190,6823585,6823582,10327707,7671370,7671371,11531522,10353638,6818112,4276873,4276871,4929574,4928522,3710088,2221757,1288832,1288833,2219920,2219922,3706724,3370622,1983436,1132927,1132930,1983448,3370639,3721257,4929505,2973432,1725542,980990,980989,1725535,2564439,1476754,1476752,2564049,4288569,4249058,2540262,2540264,2566445,2562456,2562459,2562350,1475560,834347,470334,470333,834344,1475551,2562330,2540224,1463585,828266,828265,1463582,2540216,4248956,2560532,1474620,1474621,254251184,10363229,254274998,4854485,2925386 Dl.O(d2) = 86379450,100336616,100336612,86379446,72783391,60044558,48648046,38726915,38726914,48648043,258167187,72783380,257558243,257558245,72783383,86379438,100336603,86379452,72783397,72783398,86379454,260032231,260632557,270858065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988305, s2 = 10867835, dlinesl.size( ) = 2 s1 = 10988305, s2 = 10867835, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10988305, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 10988329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988329, s2 = 11430178, int(edited[s2]) = 0 s1 = 10988329, s2 = 11430178, d1 = 0, d2 = 29 Dl.O(d1) = 2554355,1471389,832271,832272,1461098,1461099,2535584,4229543,2528883,1457371,1457374,1459354,2532484,2226904,1291574,1291576,2226914,3718915,4235103,3306692,1945351,1111367,623706,346631,346629,623701,1111353,1457298,2528729,4229296,4252731,5157984,3141507,1837248,1480545,1480546,1464460,828712,467636,467637,828719,1464427,2528742,2570870,2571864,2567749,2567748,2545068,2545067,4257199,5944668,4255777,4255775,2564316,1476665,834968,470642,470641,831498,1291646,737236,419029,236491,236488,262583,262584,264107,146209,146211,264088,264047,146188,146187,146244,80378,80379,146247,264174,469925,833489,1473814,1469152,831085,831084,1469149,2532340,2551049,4258297,4258298,254709015,5941565,5941566,5920892,5920893,254756083,9057514,255787737,273170024 Dl.O(d2) = 205880052,264442809,274161930,205880051,264103156,191199427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988329, s2 = 11430178, dlinesl.size( ) = 26 s1 = 10988349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988919, s2 = 14092642, int(edited[s2]) = 0 s1 = 10988919, s2 = 14092642, d1 = 18, d2 = 17 Dl.O(d1) = 254160101,515897,515898,533318,945630,1661989,1895216,1081690,607515,338064,185688,101564,101565,185692,338068,338055,338054,607500,1081671,254264223,2767476,2767475,4461954,4597747,2767435,1604360,912343,514742,288849,288847,514741,515402,515401,913421,913652,913651,1502611,851786,481105,481106,851789,1502618,1606826,914061,914059,599380,333956,183744,100705,100706,183755,289254,289251,288923,288924,514850,899306,899307,1581870,2729999,4541304,3046932,3046931,4669254,2813159,2729938,1581836,899284,507245,284405,284403,507241,899275,1567182,1567180,898822,898821,1581154,2729096,4475979,2760222,1600065,1600066,2689075,1557605,1557606,2689077,267787833,891152,891151,1567175,2704505,2704698,2729406,2729405,1657133,1657135,2855326,4476072,4476042,2689113,1557631,1557632,254337205,4476073,2689148,2689141,2689140,4476068,5032379,254345311,1599990,1599991,2760112,2705151,1658337,1557593,885482,885481,1011417,1011416,570312,570313,1011777,1598101,908491,512354,298214,165161,165162,298222,531799,942889,1657097,2760313,1774889,254251801,267887943,2766442,1603711,911948,514508,288722,159819,88003,88002,159814,288713,514493,909833,908678,908679,1598377,1602199,2760146,1600020,254122453,287715,159097,87497,87496,159095,267744295,909622,514476,288697,159804,87997,87996,159801,288694,514469,254122475,159220,87573,87574,159223,159476,159107,159106,159478,87780,48308,26994,15278,15280,26998,48316,87792,156155,85730,85729,156152,159409,87717,87716,159408,288154,267745997,342854,287979,159288,159287,87707,87706,159396,287464,512645,505816,283602,156629,85992,85993,48337,27008,27010,48343,87842,87691,87692,85986,85987,85938,47158,254074237,156545,283503,283647,505845,513342,512636,498918,279795,154435,154434,279793,498917,288135,159384,159383,288132,353390,353389,503070,282097,155765,155764,87825,87824,159545,87829,87827,159552,283640,254078201,47203,47204,86019,156672,283576,283577,283807,157305,157306,87593,87594,159245,193704,105836,105837,156551,85944,85946,155772,85497,46879,46878,85495,155767,254085531,254100531,943400,1658039,254354085,2841427,2842362,2842360,267891237,38242708,271078990,127701460 Dl.O(d2) = 149912418,136777132,122947040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988919, s2 = 14092642, dlinesl.size( ) = 20 s1 = 12068922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10989087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13277759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15899102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10989233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11798472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14483634, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10989349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13183220, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10989543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10989543, s2 = 11203452, int(edited[s2]) = 0 s1 = 10989543, s2 = 11203452, d1 = 0, d2 = 13 Dl.O(d1) = 4728449 Dl.O(d2) = 257526245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10989543, s2 = 11203452, dlinesl.size( ) = 14 s1 = 10989723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10850102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10850102, s2 = 11504602, int(edited[s2]) = 0 s1 = 10850102, s2 = 11504602, d1 = 41, d2 = 47 Dl.O(d1) = 22159099,22159658,255121812,29413027,22082616,15976821,15976822,22082618,16037667,16037665,16038934,11136706,7386870,4666675,2811437,1630993,1630991,2811429,4666660,7386653,11109952,7873447,4998414,3020037,1755110,1755111,3020043,2804274,2804272,4654885,4654937,4654939,4662774,4654961,4654963,4646438,4646437,7355577,7386229,4666326,2811250,1630909,927449,522775,522776,927455,1630926,2811288,4666396,7386390,7929569,11864860,16003191,16003190,22115908,22159902,22158920,22158919,16038769,16003787,11110552,7368873,7368872,7386851,11136683,11585669,11585672,11110476,11110475,11109978,7368475,4654914,2804289,1626828,925076,925075,1626821,1626834,1626836,2804304,2809119,2804317,2804319,4646430,4646431,4666275,2811218,2811219,4655061,2804354,2804356,1630886,1630887,1630912,2811258,4666340,7386314,11135828,11110195,7368612,7368584,7368581,11110135,11110173,16003244,17161305,12064916,11090844,11090843,7368867,7368868,11110541,11110122,11110120,16003173,16003087,11110076,7368545,4654957,2804411,1626877,925102,521473,521474,925108,1626891,2804431,4655182,4662767,7380570,11110093,11090970,11090971,11090977,7386223,4880081,2940450,2940448,4880073,4666259,4666261,7386207,11110307,16003440,16003308,11110210,7368626,4655008,2804332,2804331,4655002,7368608,11110185,16003263,15976615,11090840,11090839,11110329,11110330,16003469,16003607,16003608,16003695,11110522,11110521,11110463,7368828,4655134,2804398,2804397,4655110,4655111,4655152,4655169,7368892,11110582,11127392,16026371,22082552,15976771,15976770,11110628,7368924,7368925,11110636,11584887,11135679,11135678,11135684,11135693,16003433,22115919,22080057,15974521,11584739,11584738,11110154,7368592,7368593,11110161,16003230,16003672,16003671,16003872,22116678,29412890,29449811,29449812,22116594,22116596,16610992,16003800,16003720,11110488,7368840,7147966,7147965,10815889,7368815,7368813,7368849,11110511,16003750,22116364,22116366,22831010,30223129,29412972,29412971,29450340,22116724,16003907,16003906,22116605,22158734,22158735,22158744,22158758,29497649,29449388,22115687,16002965,11109985,11109986,16002969,22115699,22115987,22115965,22115966,22116425,22116427,22116689,29450306,37976267,38011945,30223508,30223510,30224095,22832100,22832099,22116496,16003712,16003711,21665267,21665268,22116383,22116382,29449977,38012099,29450167,29450166,29450076,22116455,22116456,29450080,29815241,29815240,38012464,29815269,29450356,29450355,38012369,38012370,33050601,29497640,29497639,38060539,38470390,38470392,38012108,38012106,47926309,38011639,38011638,38012016,38806692,38011806,38011805,38011819,47926439,38806767,30223541,22831528,16610386,16610385,22831521,30223525,30224089,37974079,29450111,29450110,38012254,30223577,30223050,30223049,29450044,22116438,22116439,29450048,29815224,29450067,29450068,38012212,38387933,29815265,22447361,16277770,11318862,11318861,16277767,22447353,29815252,38387958,47839386,47926662,39965911,39965913,48727434,48726175,39496977,30889797,30889796,37974041,47891934,47891936,47926458,38011836,29449655,29449654,31498233,30223530,23423327,17146242,17146241,23423354,30854087,37974075,47891997,38806807,30223590,22831595,22831594,30223586,38806800,38012150,29450001,29450000,38012145,39317655,39317654 Dl.O(d2) = 216001595,264768349,207114496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10850102, s2 = 11504602, dlinesl.size( ) = 44 s1 = 10989881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10989881, s2 = 11300362, int(edited[s2]) = 0 s1 = 10989881, s2 = 11300362, d1 = 13, d2 = 11 Dl.O(d1) = 2957815,4907255,7611313,4815366,2901910,2901912,2758316,2758318,4584711,7270061,10983289,11626276,11626275,11409564,11409562,11621632,11621633,16420948,16420949,16441026,11455163,7619381,7619382,11417463,7588136,4799730,4799729,7588133,7611337,4815379,4815377,7611327,11430355,11430357,12840102,8731647,7620219,7620217,7746858,7746854,8198762,10484027,7618852,4820487,4820489,4822439,7622011,10427463,255321947 Dl.O(d2) = 257902777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10989881, s2 = 11300362, dlinesl.size( ) = 14 s1 = 10990181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990269, s2 = 11086862, int(edited[s2]) = 0 s1 = 10990269, s2 = 11086862, d1 = 57, d2 = 62 Dl.O(d1) = 3041607,1771221,1009422,568867,254087799,254102687,1009421,1771219,3041603,5025037,7905255,11828990,16902990,23165646,30583506,38793034,256529167,31435452,29461862,22127273,255448860,255450333 Dl.O(d2) = 59329282,258174956,18515368,13155326,8966784,5853616,5853617,8966787,13155333,18515376,25052305,32742618,30435524,23028801,16786214,11736842,254555363,3004312,3004311,4973998,7835977,11736837,16786206,23028794,30435512,39025160,48947942,60344714,48947966,39025189,38825931,30242606,256413702,30435516,23028795,16786209,268238617 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1396899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10933038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990763, s2 = 10490325, int(edited[s2]) = 0 s1 = 10990763, s2 = 10490325, d1 = 0, d2 = 0 Dl.O(d1) = 5294604,5294605,4608582,2774441,1609350,1609351,2774444,3257398,3257399,5307183,3358428,3358429,5462195,8230349,5301875,3252662,3252661,5301873,4960406,4960405,7818247,11716930,12191229,8223485,5293689,3244871,1904495,1087254,1087253,1904492,1887471,1094052,614205,614206,1094058,1915611,3198856,1915821,1915822,1889660,1078268,1078269,1889667,3223797,4733425,3243110,1903196,1086431,1086432,1885795,1655367,941859,531257,531256,941856,1655361,2852710,4734218,5280887,5270428,3224945,1894598,1894597,2853663,1656014,1656015,1087967,1087966,1905679,3246561,254214956,3240816,1915571,1094038,1094039,1089407,1089408,1908018,1908712,1089893,988943,556365,311133,172000,94622,94623,172009,311155,556401,989018,1740426,2993271,4957878,5299433,3267364,1920744,1097237,1097236,987807,555748,310827,171847,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1074303,603562,336063,184744,184746,336073,603587,603606,336080,336082,603614,1074401,1070685,601656,335086,335087,601625,601623,1070623,1876709,3204891,2888820,1676644,1676645,2888821,4792489,7513843,7472339,4722311,2845178,1650656,1650657,2845181,3204977,4788558,2886319,2886320,4788563,5090319,4750745,2863201,1661814,1661813,2863197,4750733,3205081,3205079,5243685,3202319,1875035,1069648,601139,601140,1069668,1676914,954056,537919,301560,301558,537887,953128,953126,1675220,2886401,4788696 Dl.O(d2) = 5294604,5294605,4608582,2774441,1609350,1609351,2774444,3257398,3257399,5307183,3358428,3358429,5462195,8230349,5301875,3252662,3252661,5301873,4960406,4960405,7818247,11716930,12191229,8223485,5293689,3244871,1904495,1087254,1087253,1904492,1887471,1094052,614205,614206,1094058,1915611,3198856,1915821,1915822,1889660,1078268,1078269,1889667,3223797,4733425,3243110,1903196,1086431,1086432,1885795,1655367,941859,531257,531256,941856,1655361,2852710,4734218,5280887,5270428,3224945,1894598,1894597,2853663,1656014,1656015,1087967,1087966,1905679,3246561,254214956,3240816,1915571,1094038,1094039,1089407,1089408,1908018,1908712,1089893,988943,556365,311133,172000,94622,94623,172009,311155,556401,989018,1740426,2993271,4957878,5299433,3267364,1920744,1097237,1097236,987807,555748,310827,171847,171850,310840,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,3202524,1875171,1875172,3202526,3195065,3195064,2775260,1609885,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1074303,603562,336063,184744,184746,336073,603587,603606,336080,336082,603614,1074401,1070685,601656,335086,335087,601625,601623,1070623,1876709,3204891,2888820,1676644,1676645,2888821,4792489,7513843,7472339,4722311,2845178,1650656,1650657,2845181,3204977,4788558,2886319,2886320,4788563,5090319,4750745,2863201,1661814,1661813,2863197,4750733,3205081,3205079,5243685,3202319,1875035,1069648,601139,601140,1069668,1676914,954056,537919,301560,301558,537887,953128,953126,1675220,2886401,4788696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990763, s2 = 10490325, dlinesl.size( ) = 2 s1 = 10990763, s2 = 10490325, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10990763, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10490326, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10990775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990775, s2 = 11218546, int(edited[s2]) = 0 s1 = 10990775, s2 = 11218546, d1 = 10, d2 = 18 Dl.O(d1) = 254182683,1088261,1906185,3247268,5296289,8225723,12195463,16351565,16322538,11355784,7544850,4771978,4771977,4735852,4735854,7492577,11285932,16234002,22394032,28772407,29843344,29843342,38414229,38417827,38415749,29846154,22480070,22480069,22471547,16302236,16302235,22083214,22083213,22473140,21297248,21297249,22477537,16306880,11345877,11345878,16306883,22476902,267984678,28516131,28516132,29856359,37016981,37016980,29842453,22475343,16305170,11344787,7538940,7538939,11344781,16305160,16317450,16317449,22490560,23356559,17088343,17088344,16735977,11692688,7798398,4945339,4945338,7562906,4782148,4782149,7562904,268088557,22476923,16306386,11345534,11345533,16306384,22021803,29353115,29842651,38413874,39367527,36456700,27998301,20834030,14935435,10271699,6750166,4229712,4229716,6750161,10271683,14935400,16343367,11371713,11371650,11371649,16343251,22516706,23571265,17260165,16350846,16350845,22523917,254347756,11468472,11468473,15915144,11036464,254347028,22016868,26699373,34694012,40074288,31392748,31392746,27086662,20188528,254585132,21979200,269332849,268232408,3304666,1944165,1110728,1110727,1944162,3304663,5374248,8327032,9101292,5955004,5955003,6343323,3979777,3979778,6343325,5211641,4288834,254487149 Dl.O(d2) = 258885300,259509112,258262748,72450485,256018826,258685027,58539952,269783939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990775, s2 = 11218546, dlinesl.size( ) = 20 s1 = 14238266, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14486935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13187292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13252283, s2 = 1708008, int(edited[s2]) = 0 s1 = 13252283, s2 = 1708008, d1 = 20, d2 = 6 Dl.O(d1) = 8581267,7893790,5489959,3380651,3380652,5489960,8488929,5543744,3448534,254192677,657028,364246,364247,657031,1170630,2042345,3440590,3440589,5556174,5596021,3472802,2060018,1182172,663996,663995,1182171,1295959,2234687,3414068,2015078,2015077,3031873,3458710,5518619,5559846,5520737,3407573,2010249,2010254,2010272 Dl.O(d2) = 256543819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13252283, s2 = 1708008, dlinesl.size( ) = 24 s1 = 13185117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10991305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991305, s2 = 14069304, int(edited[s2]) = 0 s1 = 10991305, s2 = 14069304, d1 = 16, d2 = 20 Dl.O(d1) = 5550136,5545796,3450849,3389274,3389275,2044199,2044200,3034926,1766413,1006526,1006525,1766411,1992942,1992943,3383945,5493772,5505148,5564028,254613757,5571581,5545989,5545988,5570580,5545579,3431308,3431310,5545581,5507000,3412193,2013816,2013815,3412189,5525690 Dl.O(d2) = 254137647,644115,254189975,3404840,5518157,8519935,12564918,8523058,8504702,5505199,3394059,2000445,1143427,1143426,255582769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991305, s2 = 14069304, dlinesl.size( ) = 22 s1 = 10991483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991483, s2 = 11077500, int(edited[s2]) = 0 s1 = 10991483, s2 = 11077500, d1 = 227, d2 = 192 Dl.O(d1) = 5614520,254879407 Dl.O(d2) = 47240638,37330801,28793632,28793633,37330803,44580915,35202819,35202820,43943871,34669658,26676409,19858978,18588667,18588669,25144229,25482285,25482283,33230924,33230913,33230912,42191160,52549866,64423857,77592447,91523417,86877861,73265783,70986085,58271652,46906478,37029204,28531077,28531078,33186860 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991659, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10685798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10685798, s2 = 3256307, int(edited[s2]) = 0 s1 = 10685798, s2 = 3256307, d1 = 14, d2 = 5 Dl.O(d1) = 37214213,28689557,25350347,18768650,13364979,13364978,18768648,255396908,13369536,9137380,5979375,5979376,9137382,254941222,9914600,9914601,14415895,20105976,14416121,9914792,7045660,254733605,15431190,13365425,254619370,5977402,9134241,13138047,10601874,8636170,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,12850878,18123385,18746320,19288958,13790249,9455804,6199730,6199731,6199393,6199394,9455253,268153929,9382753,9382752,13699929,18876756,13451870,9199301,9199302,255262951,6022951,254300057,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124003,10963221,9123954,9123957,10963071,10601784,6994783,6994782,10601778,11004742,7284963,7284964,11004744,13789455,18876585,14416894,9915435,6516200,6516198,9915426,11001038,11001037,14416535,14416533,13352740,9124795,5970936,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9997204,8606017,5592492,3469656,2057558,2057559,3469658,254616867,12672460,17890736,24269988,31782775,40477380,50512541,62004150,74800689,74800690,88433104,74800692,74800694,88433109,102435120,116532617,261324761,156228025,156228029,167821476,178263081,187476414,263266143,167821478,156228032,261324763,116532641,102435146,88433122,74800704,269413953,40477382,256047045 Dl.O(d2) = 50512537,62004143,258917441,102435118,258917438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10685798, s2 = 3256307, dlinesl.size( ) = 2 s1 = 10685798, s2 = 3256307, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10685798, Dl.E( ) = 16, 1.22e-05 seconds used appending s1 = 13188752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16035627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13189006, s2 = 344709, int(edited[s2]) = 0 s1 = 13189006, s2 = 344709, d1 = 14, d2 = 10 Dl.O(d1) = 10269683,6748681,6748682,6748831,4228826,4228829,6748865,9067277,11512429,11512431,16517586,11511259,11511257,16517584,16519320,254485168,13318480,13318481,13816578,9475362,6212866,254185490,8270506,8270510,6074040,6074045,8290502,9272984,9272985,12334232,8332407,5377880,254209192,3584111,5636461 Dl.O(d2) = 8664128,6339165,6339164,254667230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13189006, s2 = 344709, dlinesl.size( ) = 10 s1 = 6455105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6455105, s2 = 13189005, int(edited[s2]) = 0 s1 = 6455105, s2 = 13189005, d1 = 4, d2 = 9 Dl.O(d1) = 254667231,1349509,769917,437562 Dl.O(d2) = 437558,769930,254209193,3888717,3310046,1947315,1112413,1112412,1112323,624162,624157,1112303,1111428,254185491,3306950,4255652,4255651,5929463,4288623,254485169,4270138,6808264,6840465,4292036,2566090,1477564,1477562,2566088,2566244,2556168,1472348,1472347,2556191,4275486,4309093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6455105, s2 = 13189005, dlinesl.size( ) = 10 s1 = 14182524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14182524, s2 = 6897018, int(edited[s2]) = 0 s1 = 14182524, s2 = 6897018, d1 = 21, d2 = 30 Dl.O(d1) = 34306432 Dl.O(d2) = 255320438,10224467,10107040,10064109,6611580,4182661,2500977,2499976,1442580,1442575,2500001,1452256,1452252,2520030,4214892,6723082,10232500,14881227,20761311,27630575,27630577,35925561,45572574,255217770,41828472,32903788,25192857,18631556,13246379,254196766,8761854,12882497,18165187,24614700,24781976,24781977,32406468,32206856,32206858,32916441,254293218,13253242,13253241,18639978,25203180,32916436,41844041,52165760,63994960,77120275,77089292,255217768,41828468,52146486,63970636,77089294,256577118,82229743,82229742,96249050,270246501,69834189,83375072,81882378,81882377,259838801 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15544908, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13165259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13165259, s2 = 11313202, int(edited[s2]) = 0 s1 = 13165259, s2 = 11313202, d1 = 14, d2 = 17 Dl.O(d1) = 3688490,5903713,6268141,9552771,13918058,19449349,15354359,10607343,6998823,6516007,6516008,4594103,4594102,267882122,15639719,14415859,255029766,20137504,21436643,15442061,10675943,7051572,7051571,9393674,6154055,3850548,2306991,1338611,764611,434900,434901,764619,1338633,2307029,3850603,6154133,6413908,9754829,14190265,15871417,11000431,11000432,13364956,13364955,15871028,11000070,11000071,255876461,37861676 Dl.O(d2) = 59185946,71925348,85512927,99458877,113469143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13165259, s2 = 11313202, dlinesl.size( ) = 8 s1 = 10992351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13190262, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 655579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15056576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10992975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10992975, s2 = 11369580, int(edited[s2]) = 0 s1 = 10992975, s2 = 11369580, d1 = 11, d2 = 5 Dl.O(d1) = 6134408,9365020,13675209,19151220 Dl.O(d2) = 42616844,53064709,53064707,42616843,42616844,269525875,258436783,92361395,106665747,120918623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10992975, s2 = 11369580, dlinesl.size( ) = 2 s1 = 10992975, s2 = 11369580, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10992975, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 14484590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13191218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13191218, s2 = 11462952, int(edited[s2]) = 0 s1 = 13191218, s2 = 11462952, d1 = 60, d2 = 74 Dl.O(d1) = 2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098837,10633252,10633251,15386399,21365747,19231825,13739761,13739760,19231823,17956031,17956030,24347935,25355088,25355089,21352390,21352391,28582063,21367947,20106860,20106859,19401883,18753419,13699870,9382714,9382713,13699868,15876611,15873689,15873690,20106268,254689776,21318690,15347964,255396151,20108917,254975864,35082159 Dl.O(d2) = 183349178,191913843,199281782,263434270,273499082,264128724,190194640,190194639,197795098,263800378,214107433,217747757,264684886,204270880,197795088,197795087,263434272,190194576,190194575,190194628,181392024,171369875,160149991,160149992,171369876,181392026,190194579,262957487,160149971,147900881,260907269,120985707,134782311,147900877,160149966,171369842,181391980,190194572,197795030,197795092,190194636,181392030,181391968,181391967,190194561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13191218, s2 = 11462952, dlinesl.size( ) = 40 s1 = 7810466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10993359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993359, s2 = 11492954, int(edited[s2]) = 0 s1 = 10993359, s2 = 11492954, d1 = 19, d2 = 17 Dl.O(d1) = 3914818,3914816,6253617,3915063,3915060,6254068,9530280,9530277,13889116,19413444,19173026,13691493,9376629,6142524,3843405,3843400,6142496,9376408,9376404,13691068,19172319,25822981,33624145,33949893,28095080,28095078,25823753,25823749,33625259,33939340,26104894,19414036,13889473,9530500,9530496,13889459,19414007,26104841,256690061,53468914,259088243,260934459,273814637,218032382,220998897 Dl.O(d2) = 231383676,229959048,228353368,274409401,206889690,200915038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993359, s2 = 11492954, dlinesl.size( ) = 14 s1 = 13191772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15087105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 768535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10993541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993541, s2 = 11429234, int(edited[s2]) = 0 s1 = 10993541, s2 = 11429234, d1 = 0, d2 = 5 Dl.O(d1) = 6342877 Dl.O(d2) = 107783762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993541, s2 = 11429234, dlinesl.size( ) = 18 s1 = 10993651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993651, s2 = 14028582, int(edited[s2]) = 0 s1 = 10993651, s2 = 14028582, d1 = 21, d2 = 27 Dl.O(d1) = 6386460,254603648,2401831,254312053,6386673,254959683,19684693,26421552,257270215,258482557,93496482,261526703 Dl.O(d2) = 260870111,272374420,260274216,131837885,258403068,268492220,42140954,256126887,255260475,13423648,18841079,25436929,33181669,255587768,254612714,31590355,24086440,17729123,17729124,17769747,17769746,17142366,17142365,19700214,24182937,17814550,16056761,254137768,11149355,16057265,11149202,7394833,4671659,2814546,1632882,1632884,2814552,4671607,7394761,11149088,16057097,17809872,12608401,8557314,5554230,3438593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993651, s2 = 14028582, dlinesl.size( ) = 28 s1 = 8112310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8112310, s2 = 8082977, int(edited[s2]) = 0 s1 = 8112310, s2 = 8082977, d1 = 8, d2 = 4 Dl.O(d1) = 98888424,84962906,71388011 Dl.O(d2) = 16782667,23023930,23024243,30430013,39019376,39019324,30429974,30429975,30429753,23024039,23024038,30429751,39019027,39018899,30429609,23023934,16782669,255511689,28602871,21369322,15389332,15389333,21369325,23024167,23024166,16782866,16782860,16782862,23024226,30430002,39019365,46997413,40060542,40060541,46997223,37111710,28602646,28602645,37111706,39019054,37112088,28602983,21369393,15389372,10635389,7020715,4415168,2647993,254333713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8112310, s2 = 8082977, dlinesl.size( ) = 2 s1 = 8112310, s2 = 8082977, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 8112310, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 2001817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994407, s2 = 14082826, int(edited[s2]) = 0 s1 = 10994407, s2 = 14082826, d1 = 70, d2 = 72 Dl.O(d1) = 254219773,833535,833537,1473911,2558999,2540833,2540830,2540747,1463836,1463837,2540751,4250004,3720890,3720892,2564069,1476535,1476536,2564070,254487123,7778129,6829580,4284700,2561668,2561669,4284703,6829582,6842675,10383165,6849548,5973492,5973491,9128197,13356827,15012366,268001685,267958249,4281250,2559710,2559708,4281245,4421619,7028909,10316455,6786561,4254486,4254489,5942073,3715601,2224978,2224977,3715596,5942065,9084572,9712415,6389663,4010056,4010053,4248081,4248080,5724077,5724078,8788212,8987602,8987603,10306641,10306640,12918916,10313971,10313970,12659162,8595007,8595006,12659161,17875701,24253265,28796590,28790711,28790709,37327179,47236164,58629051 Dl.O(d2) = 87891046,74288401,61511742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994407, s2 = 14082826, dlinesl.size( ) = 74 s1 = 10994429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994429, s2 = 11316498, int(edited[s2]) = 0 s1 = 10994429, s2 = 11316498, d1 = 13, d2 = 0 Dl.O(d1) = 4282359,4282362,6745039,6745040,4275455,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267672,10267671,10283313,9101605,5955238,5955240,9101612,13285784,12659076,8594945,8594944,12659074,10304385,6776302,6776303,10304387,12642532,268263485,270918811,130323309,263646777 Dl.O(d2) = 109434108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994429, s2 = 11316498, dlinesl.size( ) = 8 s1 = 10994453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994453, s2 = 11187876, int(edited[s2]) = 0 s1 = 10994453, s2 = 11187876, d1 = 17, d2 = 10 Dl.O(d1) = 6837515,255008679,17164468,18951279,255568740 Dl.O(d2) = 257047752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994453, s2 = 11187876, dlinesl.size( ) = 2 s1 = 10994453, s2 = 11187876, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10994453, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 13193992, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13193992, s2 = 14165729, int(edited[s2]) = 0 s1 = 13193992, s2 = 14165729, d1 = 5, d2 = 8 Dl.O(d1) = 153276767,140595984,127249657,113390970,99390092,85449285,71864230,257826484,37805569,29241434,21922287,15836996,15836995,13429707,9181928,6009680,3758777,3758775,6009668,9181908,9182024,255261031,13428038,9180932,9180933,13428039,18846816,25443722,33189238,30496467,28205562,21013173,255332550,6861358,4306120,2574740,1482756,838427,472591,265567,147016,147017,265574,472605,838454,1482804,2574836,4305938,4305939,6861045,4306212,4305075,2574141,1482358,838152,838150,1482223,1482222,2573975,4304836,4305067,4303754,4303755,2573164,1481530,1481531,2527247,4226688,2573715,1482052,1482053,1482361,2574155,4305094,4305586,6860515,10407570,10407572,6860533,4305598,4305597,6860531,10407591,6860543,4305613,2574471,1482611,838346,472551,472540,472541,838328,838334,1482592,2574425,4304873,2574004,2574003,4304868,2574170,1482371,838163,472419,472418,838156,1482364,2574160,4305103,4303764,2573157,2573158,2573154,1481525,1481524,2573151,4303745,4304517,4304519,2574151,2574150,4305086,6859587,10405301,10405299,6860499,6860500,10407575,6860527,6860526,10405283,10405860,10407578,6860508,4305582,2574454,1482601,838341,838322,838323,1482577,1482587,2574436,4305566,6858806,4304463,4304462,6745507,4304597,2573757,1482342,838145,838144,1482071,2573746,4304580,6858957,6857756,4303760,4303759,4303743,2573145,2573146,2573955,4304815,6858857,6858858,10405024,10405168,10405167,10405176,6859101,6859100,4305569,4305570,6860494,10405287,6859070,6859071,4305097,4304862,4304863,6859273,4305578,2574450,1482596,1482595,2574443,2573994,2573978,2573979,4304842,4304468,2573665,2573666,4304473,6858815,4304594,2573764,1482080,837968,837967,1482076,2573754,4304588,6858963,6859243,4304825,2573963,2573965,2573957,2573956,4304820,6859236,10405448,10405173,6858973,4304600,4304601,4304696,2573840,2573841,4304703,6859108,6860341,6858954,4305436,4305435,6859011,6859010,6859077,4304663,2573799,2573800,2573823,2573824,1482236,838064,838063,1482230,2573986,4304855,6859267,6859314,6859391,4304956,2574074,1482297,1482067,1482068,2573744,4304577,6858950,6860373,6859171,6859172,6859239 Dl.O(d2) = 10409308,10409305,10405190,10405192,15085597,15085585,15085583,15085933,10405496,6860355,6860356,6860346,6859019,4304656,4304655,6859046,4304648,2573793,2573792,4304645,2573810,2573811,4304684,6859091,10405296,10409230,10409229,15085903,15085902,15086035,15085548,10405136,6859368,6859369,10405141,15085554,21001629,21001630,21001631,21001636,15085813,15085814,15085887,21001723,15085686,10405267,6859052,6859053,6861597,4306268,2574813,2574812,4306265,6861589,10409284,15092651,15085928,10407346,10407347,10405273,6859061,6859062,6859065,10405280,10405254,6861552,4306243,2574805,2574804,4306238,6861542,10409226,15092573,15092575,15092576,21001951,21001950,28185106,21002004,15085925,15085924,21001999,28184701,36661340,46528832,36661349,28184711,28184710,28184832,21001747,21001748,28184799,21001718,15085679,15085674,10409235,10409234,6861583,4306263,4306262,6861580,10409296,15092656,21013958,21001693,15085653,10405245,10405246,15085657,15085697,15085702,15085703,10409277,6861577,4306258,2574809,2574808,4306254,6861571,10409272,15092633,21013936,21013837,15092561,10409221,10409222,15092567,21001994,21001993,28185161,28184804,28184806,36661452,46528942,36661500,28184848,21001753,15085719,15085720,21001733,21001730,21001714,21001704,21001705,15089704,10407358,10407356,10409289,10409290,10409282,10409281,15092642,21013852,21001685,21001688,28184757,21013925,21013926,28184811,21013896,15092605,10409259,6861560,4306249,4306250,6861565,10409266,15092621,21013920,28206550,28206467,21013832,15092553,15092550,15086374,15086375,21002552,28185810,36662577,46528939,46529268,46529269,46528991,36661495,36661490,28184842,28184841,36661485,46528918,36662211,28201346,21009868,15089715,10407361,10407363,15089721,21009875,21013953,28206593,28206482,28206481,36697143,46528868,36691313,36691314,46577599,36697198,28206515,21013886,15092598,10409255,10409249,10409250,10409262,15092616,21013914,28206543,36661881,46529315,36697122,28206462,28206461,28185800,28185799,28185803,36662572,36697245,46529277,36661825,36661824,46529273,46529282,46529286,46583626,57884887,46529233,36661781,28185433,21002177,21002179,21009856,15089709,15089710,21009862,28201336,36691310,46577596,36697133,36661612,36661610,46529086,36691319,36691320,46528953,36661460,28184821,28184823,21013879,21013873,15092591,15092592,15092610,21013902,28206527,36697216,46583703,57884934,57884933,46583616,46525368,46525370,46528905,46528906,36697249,36697250,36661832,28185094,21001944,21001945,28185099,36661840,46529292,46529243,36661794,28185059,21001913,21001914,28185062,28201324,21009850,21009851,28201328,36691300,46577580,57884781,46529079,36661605,36661604,46529074,46583656,46583657,46528979,36661478,28184829,28184827,36661472,28206506,28206505,36697184,28206523,28206522,36697207,46583686,57960124,70585955,70585954,70585832,57884692,46528912,36661433,28184789,21001711,21001710,28184783,36661426,28185085,28185088,36661820,46529263,57884911,57884738,46529240,36661786,28206574,21013942,21013943,28206579,36691289,36691294,36691296,46577578,57954268,70585867,70585866,70585861,57884777,46583665,36697162,36697161,36697164,28206493,28206495,36697176,46528973,36697187,36697186,36661443,36661444,46528936,46577592,46583690,57960128,57960114,57960115,70678589,70585819,57884678,46528886,36661412,28184776,28184779,36661418,46528897,46529258,46577585,57954274,57884743,46528967,36661465,36661464,46528963,36697267,36697266,46583760,46577565,46577567,46577575,46577576,57954263,70673319,60487848,60487849,70674961,57960109,46583653,36697157,36697155,46583648,36697168,36697169,46583675,39154717,39154716,46528922,36661439,36661440,46528929,57884708,50249977,40230082,40230083,46583715,57960140,57884684,57884682,46583698,46528880,46528879,46528890,46528892,49388606,39460236,39460235,49388599,60789359,57884730,46528958,46528959,57884737,57884893,57960173,60487860,70586401,70586403,57954256,57954258,57954280,60487854,49084563,39154723,39154722,49084554,60487828,49388502,49388500,57956067,57960167,49084599,49084598,49084545,49084546,49084614,49084613,57884701,46583711,36697223,28206534,28206535,36697228,46583719,49084586,49084585,39154917,30557357,30557358,39154922,49084790,57960103,70678575,60789351,60789352,60487913,60487912,73234716,84122479,70585923,60487862,49084569,49084570,57884793,57884794,60487951,60487952,73234725,73234704,70678596,60487843,49084559,49084557,60487838,49388511,39460160,39460159,49084605,39154738,39154737,39154753,30557261,30557260,39154749,49084620,57960152,46583736,36697238,28206538,28206537,36697234,46583728,39154733,30557252,23139864,23139866,23139862,16879609,16879608,23139857,30557249,39154728,49084579,49084653,49084654,57884937,49084610,49084608,60487876,49084575,49084573,60468246,60468245,49084738,49084739,60487959,60487962,73234729,73234695,60487831,49388561,39460199,30855695,30855696,39460202,49084733,39154870,30557337,30557272,23139882,23139881,30557268,39154771,49084633,39154791,39154792,36697232,36697231,39154836,30557310,23139896,23139897,23139892,16879649,11809474,11809454,11809455,16879615,23139876,30557256,30557293,30557290,39154803,49084657,49388455,60487880,70585021,60487870,60468232,49064797,49064796,39154875,39154876,49084751,60487939,70573526,60487927,49084670,49084671,39460216,30855702,30855701,39460212,49388584,49084797,39154929,39154928,49084629,39154763,39154762,46582700,39154799,30557288,23139888,23139887,30557281,30557318,23139903,16879625,11809463,7888257,5009907,5009909,7888260,11809478,16879654,23139930,30557365,39154931,49084802,60487987,60468077,49064762,49064761,60468212,60468238,49064785,39134653,39134655,39154890,30557343,30557342,39154885,39154829,30557307,30557306,39154824,49084678,39460208,39460209,49388579,49084822,39154941,39154943,49084823,60487890,49084623,39154948,36696231,28205669,28205668,36696227,39154782,39134623,30535846,30535845,23117182,16857711,16857714,16879618,11809468,11809469,16879639,23139914,30557329,39154860,49084714,60487944,60468218,49064766,39134628,39134629,49064772,49064788,39134636,30535871,30535872,39134659,39154882,39154881,49084667,39154819,30557302,30557301,39154814,49084663,49388572,49388571,60488006,49084813,39154937,39154938,49084817,60488008,60468222,49064882,46582696,36696224,36696223,46582689,49064903,39134741,30535954,23117191,16857721,11790418,11790419,16857726,16879627,16879628,23139908,30557323,39154848,49084694,60468248,60468228,49064779,39134632,30535852,23117123,16857686,16857687,23117128,23117144,23117146,30535878,39134665,49064804,49064679,39134562,30535804,30535803,39134556,49064674,60468151,49064895,49064896,60468335,49084807,49084808,60488002,73215053,84231179,70677830,57959188,46582682,46582683,49064917,39134751,30535973,23117211,16857737,11790424,7873096,7873097,11790430,16857742,23117221,30535993,39134769,49064930,49064931,49084687,49064781,39134646,30535863,23117138,16857692,11790401,7873090,7873091,11790407,16857699,23117156,30535887,39134676,39134570,30535815,23117097,23117096,30535811,39134565,49064683,49064891,49064892,60468324,73215121,73234737,73234736,86828127,86828094,73214996,70583609,60468099,49064621,39134514,30535774,23117078,23117077,23117208,16857730,16857729,23117203,23117215,30535982,39134759,49064922,49064935,60468363,73215128,60468329,60468328,73215043,60468207,49064746,39134616,30535841,23117116,23117115,23117142,30535868,39134639,257008057,60468088,60468089,73214971,84229989,84121772,70584899,70584897,57883596,46527724,46527725,57883601,49064659,39134542,30535789,30535787,30535796,30535797,39134550,49064666,60468138,60468346,60468344,57808688,49064831,46528014,36660568,36660567,46528009,46452691,36586765,28114102,28114104,28114099,28114098,36586757,46452684,49064908,49064912,60468337,70583581,57882111,46525942,36658323,36658324,46525945,49064714,60468170,73215007,73214966,73214965,70676543,70676537,70584905,57883604,46527729,36660312,28183797,28183796,28382432,36878724,46757409,57883867,46528039,36660592,36660591,46528035,57883865,70585095,70509868,57808696,46452681,39134688,36660574,28184003,28184006,36660579,36586771,28114109,20937165,15028972,15028973,20937170,28114115,36586776,46452701,57808708,70509879,57882120,46525949,36658328,28181826,28181827,36658336,46525956,57882125,70583595,70583594,70676549,57957774,46581318,36694901,28204481,28204480,28185367,28185369,21164906,21164907,28382439,36878729,46528047,36660596,28184013,21001055,255800863,36660587,257406473,70585092,259268059,271290877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13193992, s2 = 14165729, dlinesl.size( ) = 2 s1 = 13193992, s2 = 14165729, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13193992, Dl.E( ) = 10, 1.6e-05 seconds used appending s1 = 10994785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994847, s2 = 11144754, int(edited[s2]) = 0 s1 = 10994847, s2 = 11144754, d1 = 10, d2 = 8 Dl.O(d1) = 4392612,2631947,2631946,4392610,6990152,10595815,15340521,21310422,255462760,16881069,21310426,255563656,4392607,4392608,6990147,10595810,15340515,15340514 Dl.O(d2) = 21310424,255192156,17712811,12529804,8490995,8490993,254519766,24068741,267888380,15172526,15172529,21119908,24068628,17712701,12529727,8490944,5491666,3382131,1991626,1138087,1138086,1991624,3382127,5491661,8490935,12529715,12529924,17712802,17712803,24068735,24068789,256918128,49448004,256350070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994847, s2 = 11144754, dlinesl.size( ) = 8 s1 = 14182724, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7553241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994891, s2 = 11021308, int(edited[s2]) = 0 s1 = 10994891, s2 = 11021308, d1 = 13, d2 = 15 Dl.O(d1) = 152369,152365,152607,152601,274123,274117,487627,864072,1523878,2638480,4402250,7003851,10613767,15362230,21335685,28562232,37063692,46942723,58309236,60221723,258806249,100522561,258425752,97728237,83869315,70344103 Dl.O(d2) = 83869316,97728239,111648948,125451546,138780467,151481794,163365541,174218653,163365544,271553066,260294984,174218657,261991128,181101566,262793283,155348347,142757046,260693803,261933376,31022185,269055918,8145368,5217930,5217931,8145369,12114306,17232820,17967783,12733096,8652385,8652384,12733094,17967779,13456345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994891, s2 = 11021308, dlinesl.size( ) = 8 s1 = 10994929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994929, s2 = 11267360, int(edited[s2]) = 0 s1 = 10994929, s2 = 11267360, d1 = 6, d2 = 5 Dl.O(d1) = 4406931,2641919,254499131 Dl.O(d2) = 2318581,2341503,2341345,2341347,3910408,3954998,6310297,255301219,19462895,19462894,257305955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994929, s2 = 11267360, dlinesl.size( ) = 18 s1 = 13194848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16183192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14030815, s2 = 10507362, int(edited[s2]) = 0 s1 = 14030815, s2 = 10507362, d1 = 218, d2 = 239 Dl.O(d1) = 7042908,4432247,2660809,2660808 Dl.O(d2) = 8260958,5329642,5329637,6090180,6090178,9296999,13578100,268300803,255630404,256601694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14030815, s2 = 10507362, dlinesl.size( ) = 238 s1 = 13195584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13195584, s2 = 8840204, int(edited[s2]) = 0 s1 = 13195584, s2 = 8840204, d1 = 153, d2 = 143 Dl.O(d1) = 38484513,48387222,59770045,63822417,258148537,59770085,63822418,52006326,52006327,49754964,49754965,61233988,67564153,81033356,72256492,59522781,48135738,48135737,55220511,44369296,34990929,34990928,44369297,48759263,48097470,38186018,29619092,29619093,29619105,38186034,48097494,48097476,40472964,31778361,31778362,255899105,16127148,16127147,22268154,29619095,38186009,48097465,48097488,38186030,29619102,22268160,16127151,11202991,7433596,7433597,11202989,7433595,255083527,22268152,29619091,38186016,44600606,257921181,269799125,256903651,37743845,47665741,59065692,258717365,59065684,47665726,257483439,257483445,47665731,268933381,29182966,21872077,15797868,10946033,7243523,4566831,4566832,7243525,7570124,4787455,254240571,1674719,2885578,1689302,960668,960667,1689299,2911994,4492676,4492675,5415214,4831266,3254187,3254186,4492659,5290905,5290904,7255182,4575685,4575684,4734845,4490201,2697637,1562707,1562708,2697643,4490208,7132200,5273080,3227383,3227384,5273084,5308156,5319189,5302799,4611672,4611673,5304639,5304638,4831793,4831792,7637335,11482650,8207545,8207543,8247963,5319953,3268846,1921900,1921899,3268843,3358817,1974643,1974644,3358824,5270343,5270341,4605707,3254203,1911337,1091530,612826,612827,1091532,1899467,3237755,2852485,2852486,3200301,3200300,5241091,4490193,3237984,3237983,5285713,3263239,1917710,1917709,3203151,3196196,3196197,1909887,1909886,3252306,5267655 Dl.O(d2) = 175625049,262345058,272263300,113119749,99128818,85206088,71640797,71640798,71640795,58919551,58919552,48218775,38308976,38308977,33214991,33214990,42174270,52532116,59605552,72340013,77573401,64405387,52532114,52532112,55271919,55271920,67612765,256967956,67610149,55268895,44424647,35049918,26968709,20083366,14399542,9904469,6509844,6509843,9904477,14399570,20080537,20080538,26965115,35045492,30019900,255105742,28732526,28732528,29921435,29921434,38481516,38481512,29921429,22643466,16453446,16453422,16453424,22643419,22643445,30015395,35241864,35241850,27144949,20235976,14520794,9991529,6566712,4113738,4113736,4113743,6566725,9991554,14520829,20236018,22813630,22813629,27145022,27144749,20235834,20235835,22813621,16595314,16595313,22813618,30205223,38789997,39791099,31110701,23624383,23624384,22643726,22643728,30015725,31810844,27133235,20227304,20227303,27133229,27144884,27144885,35241787,30015425,30015420,30015418,30015363,30015364,256424741,256424826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13195584, s2 = 8840204, dlinesl.size( ) = 2 s1 = 13195584, s2 = 8840204, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13195584, Dl.E( ) = 156, 4.6e-05 seconds used appending s1 = 10995493, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13195730, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10995691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10995691, s2 = 11298126, int(edited[s2]) = 0 s1 = 10995691, s2 = 11298126, d1 = 10, d2 = 9 Dl.O(d1) = 268555624 Dl.O(d2) = 257481091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10995691, s2 = 11298126, dlinesl.size( ) = 12 s1 = 13196290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10995851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10995851, s2 = 11433214, int(edited[s2]) = 0 s1 = 10995851, s2 = 11433214, d1 = 11, d2 = 13 Dl.O(d1) = 7273590,10987995,15853786 Dl.O(d2) = 259350185,260568483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10995851, s2 = 11433214, dlinesl.size( ) = 14 s1 = 13216567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13216567, s2 = 10711454, int(edited[s2]) = 0 s1 = 13216567, s2 = 10711454, d1 = 11, d2 = 12 Dl.O(d1) = 11844995,11020242,11020243,7295835,4601348,4601347,254864444,12133107,12133108,11019451,7295117,4600764,254163780,514965,288986,288985,514962,912683,913102,1605595,2766675,1605656,913134,913131,912930,515083,289043,159977,159978,289047,254085917,88055,254072027,27102,267736069,160012,289117,515191,912765,912764,1604964,2768296,3193681,4602182,2769123,2769122,2766654,254226694,19778065,19778066,26581152,27154769,35253663,43839185,34567463,26581136,26581135,34567461,35253735,32631944,24962917,24962916,32631942,24962945,18444537,13102252,13102251,18444536,23428667,18303429,14166494,14166492,18444507,256095301,41517099,51794462,59563400,59132620,47733990,256748064,255747514 Dl.O(d2) = 258105049,59440081,258094240,256904278,7414049,7556710,4778381,2879695,2879696,4778384,7556713,11374636,16346936,11375400,7557263,7557265,7557271,4778747,4778746,7557268,11375404,16347808,22520985,17277865,12157519,12157518,11371323,11371325,9519919,7557865,7557862,9972131,9007724,5880072,5880070,9007718,7552781,7552780,11368551,16339305,22506589,16332774,11363480,11363481,254840568,254520834,5959756,3727044,2231502,2231484,1294115,1294116,2231496,3727109,2445835,1414172,1414171,2445829,4088261,6524918,6525402,4088543,2445961,2445962,4088545,6525406,9928974,8235957,8235958,12204204,17329210,23646067,17913083,12690983,12690982,17913081,24295451,31810638,26255887,26255888,29672329,29672330,32742327,32742326,25052146,25052088,25052087,30918928,25052152,24295252,17912963,17912962,24295245,268405228,31693028,31693029,39720149,39720150,32104001,32104000,31693114,31693115,31043253,23560439,23560438,23560451,17250315,17250316,256498543,24184712,17816152,12613840,8562105,8562106,12613842,17816155,24184718,30798219,39401470,40035801,47460043,269322929,61911111,50420840,40386504,40386505,47460042,39720688,31043098,31043097,31692952,31692954,37115777,28606211,21372039,21372040,23371564,30798139,29222276,21906987,21906986,29222271,37783917,30798128,23371539,23371538,21372025,21372023,28606181,37115733,47001615,49219317,39292653,39292654,49219319,49344691,49344692,60747784,54671212,46390868,46390869,39292603,30695133,30695132,28606244,28606245,37115832,39292650,39292649,49219313,46691848,36808066,36808065,34656265,34655918,26664296,19849173,19849172,26664294,26664134,26664133,26664139,34655768,26664531,26664530,28934669,26664510,19849397,14220789,9776483,9776484,9776539,14220907,19849596,26664742,34655974,34656323,26664793,23862261,17518362,17518366,23862269,23090982,23090981,17518794,12353758,12353759,17518800,255133122,20286067,26611081,26611080,23152301,16891430,15078349,15078350,20991979,28173020,23983216,17637067,17637069,23983226,31055407,31116106,23629547,22506300,22496507,22496508,22514653,16341119,11369978,7553642,7553639,11369970,16341113,22004414,16327915,16304333,16304331,15329594,15329597,21296741,28517752,37016338,46895281,46894789,46894790,39101962,38524269,256216741,20079242,20079243,15790139,254752439,4563425,2744403,1590522,1590521,2744398,2744427,2744428,4563465,4563380,4563379,4563992,2744792,2683901,2683900,1594771,906591,511241,286539,158337,86995,47830,47829,86992,158018,158017,285921,510034,904319,1590719,1763805,267835817,7892110,10941134,267969837,4570367,2749090,1593371,1593372,2749096,4570374,4571330,4571243,2749737,1593805,906048,510953,286396,158270,86964,86965,158272,286403,510971,906087,1592601,1592600,2747824,4568599,4564119,2744882,2744881,1592678,905443,510652,510650,905434,1592656,2747918,4568744,254753309,15802049,21877594,29189551,37751043,47673312,59073577,49390197,39461827,39461828,48184123,59570184,72304215,71322613,58589256,58589257,71322616,58742246,47354737,47354735,58742240,59073531,47673237,37750959,29189485,21877550,255868421,20153032,20153033,27045481,28609667,21374713,21374712,22607357,29972459,37119845,37119846,47005972,41484115,32605231,28609681,23838113,23838114,31329501,40007584,50026116,52267425,256165956,61517300,61517299,60644190,52064917,52064916,58804054,63883319,63883318,59762783,48380136,48380135,38538640,29972429,29972430,38538645,48447254,40007750,39041380,30451962,30451961,39041375,48962673,59833648,72449454,59712659,59712660,59833610,48447197,48447198,52064838,58376288,65526755,53501306,43022022,37736747,31329545,23838143,23838141,31329550,40007661,47421835,37514154,28970803,21688896,21688897,28970806,37514159,47421840,46957909,37077427,28573925,21345492,21345493,28573927,28573931,21345494,21345495,28573933,37077435,37077416,37077418,30857045,23425717,17148095,17148096,23425720,30857049,38851736,38851735,40003783,39461703,30856951,30856952,39461707,38851734,30267658,23396981,17124968,12051735,8102631,5191485,3167779,1854621,1854625,3167773,5191469,4564965,2745456,254162821,510223,286036,286035,267751859,345380,621480,1107472,254400811,5538183,5518337,5518338,5521522,8508860,5509388,3397871,3397870,5509385,8504654,255134205,7893193,5522758,3409391,2011633,2011634,3409012,3385106,2061264,1182969,1182970,2032663,1993707,1139324,1139325,1993709,1993876,3385253,254415397,3420439,2026969,2026968,2060030,2060029,3472821,5596052,267914761,5536990,3438194,3438192,3474557,2061354,2027169,2027168,1636162,1636161,1135147,636937,636934,365651,254108083,1175154,2049136,3456699,5539438,3424664,3424663,2044653,1172240,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,1181111,663392,663393,1181114,2058469,3470967,5558891,5558892,254872293,17815341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13216567, s2 = 10711454, dlinesl.size( ) = 14 s1 = 10995883, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10924487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10924487, s2 = 10160912, int(edited[s2]) = 0 s1 = 10924487, s2 = 10160912, d1 = 8, d2 = 12 Dl.O(d1) = 5317417,3266344,3266345,5297095,5297094,8218538,11332797,12483642,12166822,8198312,5295075,254265419,1087812,610763,610762,1087810,1905417,3246180,3257495,3257496,5291547,5313334,3262736,3262737,3239952,3239953,5269118,3229269,1897585,1083101,1083100,1897579,1655408,941878,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101512,101516,185600,101659,101660,185899,338464,608208,1082939,1897278,2786550,2786552,4626568,7325782,8188030,8188031,8226722,5297225,3248058,3248059,3248119,1906789,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,2775119,1920795,1875244,1875245,2774315,1609252,1609253,1609302,915931,915928,1609846,1879340,3208883,1880484,1072810,602766,602767,1072818,1073903,603349,335960,184694,101127,101126,184687,335942,603310,1073816,1882193,1079148,1079147,1891101,3225780,2865861,2788646,1617883,920271,920272,1617890,1091125,1091127,1910734,3253437,5302654,8230939,12199968,254759319,7305069,8200046,8200698,7325199,4626031,2786140,2786141,4609020,7304541,8191281,5260561,5260562,4617558,2780449,1612939,917552,517612,517611,917548,1612934,2780435,2258787,2258786,3769927,5265133,3220104,3220106,4622866,7321606,5274739,5274740,5282843,5282841,8211597,12179657,10839161,7165413,7165415,8211018,7314823,7314824,8199609,8199610,12167915,15906015,12150189,8179981,8179980,8154185,7712287,7712288,11111242,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,4622415,254759317,4964772,4964771,6355118,3987361,3987362,4966522,2999697,1742078,1742076,2999691,4966510,4967912,7826763,11721273,12177626,8226389,8226386,5341103,5341102,8278072,12257359,17234741,12177794,12177793,12369455,254781708,5224112,5224111,8153086,8454737,7637366,4831820,3358350,1974338,1974339,2995531,4960734,4960892,2995663,1739673,1739672,2852029,2852028,1654937,941604,531114,297891,297892,531120,298115,165089,90856,50045,50047,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,3216313,3216316,5261017,5268604,3255423,3255421,4513381,5249620,3207247,1878293,1071578,1071577,1878286,1910979,1091298,612710,340771,340774,612720,1091316,1911014,1921275,1921276,3268036,5263354,3218576,1891375,1875521,1875524,3202992,3226973,3226972,3212605,1881837,1881836,3212617,3241303,3250374,1908598,1908599,1908587,1908589,3250456,5299549,8228423,12175295,12175296,12205391,8237341,254436961,3659127,5861239,8977839,12162451,12162452,12146721,8176633,5246328,5246329,8176635,8174912,5244526,5244525,5265698,5265697,8186997,267791096,7300102,5299637,3250540,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740068,1875356,1875279,1875277,2775119,1920795,1875244,1875245,2774315,1609252,1609253,1609289,1609286,2774350,3208232,5250928,4613692,2778151,1611684,1611685,2778155,3225029,4619368,3207111,1878201,1071518,1071517,1878199,3207107,254393285,1891116,1079154,1079153,1078316,1078317,1889759,3223925,5234733,7308031,4612046,2776958,2776956,254519625,5249516,3207141,3207142,5249519,7319321,11034495,7309314,254759795,8196053,8196055,11026167,7300278,4604756,4604757,5299988,7300274,5277887,5277886,4611468,2776516,2776514,4608994,4608996,7304516,11030044,254760183,4616752,4616753,7313868,4967649,4967650,7826424,7825142,4966630,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,7321074,11046366,12118810,8150031,8150032,11048060,7323093,6750031,4229617,4229618,6750033,7317545,8151709,5224764,3187281,1865127,1865126,3187279,5224761,8153857,12121808,11721119,7823432,4965270,2998933,2998934,4965272,254520061,4617129,7314406,4655510,2804653,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244731,8175151,7820359,5318912,3267745,3267746,1921039,1921040,3196787,3196789,3224591,1890259,1890263,2804527,1626941,1626938,2804515,1676631,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,3256677,3256673,5305105,5305103,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958024,1741620,1741622,2998777,4964986,4461334,3242886,1903034,1903031,1903017,1903021,3242861,5291554,5307431,3257660,3257658,5244673,5244672,8175072,12145321 Dl.O(d2) = 989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089609,1908316,3240167,3240166,4733205,2851906,1894201,1081131,1081130,1085496,1085498,1901671,2697716,2697715,4490308,4960463,3254241,3254193,3254192,5256566,5256565,8187086,5278918,3232636,1896046,1896045,3232633,3248186,1906846,1906847,1920478,1097084,1097083,1920474,2817475,2817474,4676722,5262195,4735673,4735675,3243406,3243404,5292041,5962487,8192936,5285832,3238111,1899693,1895472,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1075663,604266,604269,1075650,1075648,1093866,614118,614120,1093915,1915357,1094209,1094212,1915863,3216889,3216892,5261650,8192205,8192169,5261593,3216852,1884703,1075252,604057,604059,1075262,1884717,3216874,3232353,3250974,1908987,1090055,1087342,1087343,1904627,3199511,1873096,1873097,1091947,613036,340926,340927,613037,1091948,1912038,3255104,3204466,1876444,1070471,601539,335034,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,533169,945335,1078523,605741,605742,1078529,1876645,1070944,1070941,1608019,2772491,4606451,4968623,4720048,2888685,2888683,4792285,7576904,11256260,7574475,4792763,2889211,2778637,1611963,917081,917080,1611959,941089,530759,297642,164820,90683,49926,49927,267737319,297651,530777,941127,953779,953780,1676440,1882962,3214295,4793198,2889344,1676997,1676996,2889343,4792879,4792878,7577608,11403375,16384591,22564419,23235501,16963049,11874964,7938153,5078232,5076609,3078633,3078632,5076616,7944423,7944421,7947363,5065012,5065013,7962131,11867137,11932138,7985042,5081968,3082439,3082440,5082321,267754254,7997268,11947424,17016365,11932006,11932007,17013972,11928788,7982163,7982164,11928790,17013976,23243004,23246925,23246926,23275452,17016457,17016456,17094497,16961094,11933574,11928190,7981626,7981624,7355110,7355111,7786054,7786056,11677431,7973569,7972309,5072920,5072917,7972301,5093020,3090889,3090890,5093029,7942720,7942719,11029812,11029813,11928153,11499138,7648741,7648740,11499136,11931971,11090545,11090544,12010015,8067416,254079792,11883478,7944651,7944650,10835149,7162356,7162354,10835140,13102257,13102261,14905167,13102225,13102224,18444500,23352374,23352373,30776159,39377661,49305396,60707753,256414500,256956908,73456129,87073794,73456122,60707752,49305395,49305396,60707753,73456123,73456129,87073810,101070078,101070077,257537026,258770158,87073807,87073806,87073805,101070079,257537026,258770158,87073807,87073806,73456125,73456126,87073807,87073808,73456127,60707756,49305397,256956908,73456129,87073794,73456122,73456121,256414498,87073797,87073800,73456119,73456120,87073803,73456125,60707755,49305397,39377663,30776160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10924487, s2 = 10160912, dlinesl.size( ) = 2 s1 = 10924487, s2 = 10160912, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10924487, Dl.E( ) = 14, 1.29e-05 seconds used appending s1 = 13197050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13197050, s2 = 8249011, int(edited[s2]) = 0 s1 = 13197050, s2 = 8249011, d1 = 12, d2 = 15 Dl.O(d1) = 42278147,52665570,64566314,77749089,91676181,105882969,120094578,133936959,147159632,159519316,170848612,180969375,189848960,197505739,204025157,197505731,189848952,180969352,180969351,177773267,167278982,159519297,159519298,170848583,177773259,167278976,155647414,155647415,167278978,261980119,147159634,159519320,170848622,180969368,262478307,147159628,133936957,133936958,261980117,263351851,174875423,167680696,156077162,143543714,143543715,156077165,167680699,263258951,180969381,189848967,197505742,204025158,206184501,264370562,201544873,194558083,186401945,177044853,166462152,154755524,142121358,128766395,114869163,100817775,86836368,73223650,60477090,49073810,49073809,60477089,73223649,86836367,100817773,109543198,109543197,123734893,261562877,162620470,161845909,149541155,136275638,122298974,107882919,93453785,79322617,65958823,53892135,53892134,255503120,28229420,24107587,17748711,17748710,19658423,19658425,17846538,15237530,15237529,16914793,11837781,7911342,5029386,3044615,3044616,5029387,7911344,11837786,16914802,16011517,11116432,7372988,4657782,2806016,1627812,1627811,2806013,4657776,7372977,11116411,16011485,22125991,29460474,38022506,47936198,47936195,38022491,38022492,47936197,256919164,47936250,59327836,59327764,47936193,38022489,38022488,29460467,22125988,16011483,16011482,255074136,7372977,11116411,16011485,22125991,29460474,38022506,47936198,47936195,38022491,38022492,47936197,256919164,47936250,59327836,59327764,47936193,38022489,38022488,29460467,22125988,16011483,16011482,255074136,7372977,11116411,16011484,22125990,29460472,29460468,22125988,22125987,29460464,38022487,47936190,47936214,59327789,59957501,72695480,74109920,61327260,61327259,74109917,87715894,101689367,115733864,129629407,137512772,257923698,256758298,72695460,72695456,81294055,67828231,67827859,67827858,67827785,55486676,44636707,35252254,256758303,55486674,67827783,81293695,81293681,67827779,55486673,55486674,67827783,81293695,81293681,67827779,67827781,81293687,86293132,81293901,67828062,67828059,72677038,72677039,86276696,100241460,86293086,85648828,72061901,59327758,47936187,38022485,29460462,29460461,38022483,47936183,59327748,72061887,85648801,99598447,271796892,99598445,113613435,127487408,259584078,259584080,105138656,90954232,77070566,63955980,52134832,256599590,77070554,63955964,52134825,52134824,47390968,37483391,28941527,21662770,15627019,10813419,10813420,11403718,11403717,16385029,22565022,29826048,29826049,30195357,30195358,38779903,48702330,59695999,49218101,49218102,49218103,49260472,49260473,60660080,73405453,87019871,98335266,84425751,70868287,70868286,58154135,58154134,70868295,60325901,58154127,256843413,28411604,21190036,21190037,24157042,17789948,17789949,24157047,31666396,26345462,26345464,34219202,38052067,29488417,29488418,24157125,24157124,31666493,38764158,30200434,30200435,38784737,42725275,38487502,29926731,22566578,16386131,11404503,11404504,16386133,22566581,22566571,20934040,20934041,28110719,28712413,21457080,15457746,15457747,21457084,28712418,37243344,28712399,21457072,21457073,21457062,21457057,28023497,36485569,46342338,42326891,33345650,28569928,21342133,255031181,7007183,7007184,7014915,4410725,4410726,4404748,2640366,1525281,1525282,2640368,4404753,7007185,10618069,255827737,256857003,46952734,258045929,71035314,84599576,86814529,73201963,73201962,86814528,73201965,60455315,49051741,49051742,60455317,73201968,86814534,86814530,86814531,79117720,65761467,58319709,46952729,46952728,53704357,53704356,48284991,38374254,38374255,48284993,53704355,53704354,48284989,38374252,29802509,29802508,38374245,38374246,37521652,37521651,29802502,29802503,38374246,36438762,27979686,20815796,255782593,36438765,37521621,37521620,29802509,22436493 Dl.O(d2) = 7162986,7162987,10835989,7165049,7164871,7164874,4668779,2861113,2861115,4747565,7510634,11312044,16085833,11172138,11172140,11966312,15656043,10836848,7163507,7163506,10836845,11586660,11586661,15656095,21696417,15656256,15656257,21696529,15656221,15656219,16084656,16084657,11172099,11172098,16085797,22217185,29562570,38128102,40111584,31432478,31432477,38792956,30208330,23939724,22816604,16597709,11575814,7705134,4876497,4876496,7705131,11575810,16597698,16597722,22816585,17598121,12421525,12421526,13416828,9173496,9173497,13416831,18831229,16400986,16400983,22583527,16598275,16598278,18702157,18702155,25274464,26979809,30209216,38793802,44437302,35063172,35063173,42011533,52350884,257509066,70955514,64201359,52350886,52350885,47366634,47366635,39904268,37461324,28921865,28921866,31283543,31283544,39958327,49974911,61452942,71481132,74710154,74710153,270817411,74710154,74710153,85052469,85052472,259446025,86852336,74710151,61916640,50426466,40392919,31700497,24192530,17823389,17823390,256041199,39159978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13197050, s2 = 8249011, dlinesl.size( ) = 2 s1 = 13197050, s2 = 8249011, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13197050, Dl.E( ) = 16, 1.22e-05 seconds used appending s1 = 10996031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996031, s2 = 11108420, int(edited[s2]) = 0 s1 = 10996031, s2 = 11108420, d1 = 8, d2 = 6 Dl.O(d1) = 254240062,5980193,3739547,2238791,2238792,3739553,5980207,3740619,3740618,5982041,9141375,13374775,13486512,13371839,13371838,18776193,18779502,18775420,18775421,23993203,18779726,13375071,9141610,5982185,3740701,3740702,5982187,9141615,13373767,12464361,8433040,8433039,12151160,8181151,8181149,10775588,10775589,13374782,9141385,9139324,5980700,3739846,3739847,5980702,9139325,9141320,9141319,13374720,17642690,12468066,8437201,8437202,12468070,268258667,23970526,23970524,255187473,254601981,3355186,3355189,5457449,8449196,12478575,17626203,17642520,12467826,8436934,8436933,12467824,12480017,8450937,8443497,5452479,3351933,1970584,1970582,3351925,5452462,8443472,12449741,11013643,7290876,4597611,2765838,1603250,1603248,254343401,7237143,8418502,7467143,7467145,8416607,8416609,12448340,12473088,12437654,12437653,12477766,12466997,12466998,12479184,9140270,5981315,5981314 Dl.O(d2) = 5428601,5452690,5452693,5428433,5428429,5446146,3348027,3348026,5446122,5447404,8423588,5437039,3342386,3342385,5437036,8423582,8407227,254856365,8436983,8436984,12455922,8424244,5437511,254599683,12455920,12452591,8420947,5435083,3341197,1964779,1122198,254106223,349643,629555,630211,630210,1123519,1967291,3345766,5431471,3338848,3338847,5431467,5443667,3346479,3346480,3346236,3346237,254598981,3338784,3338785,254598983,8414042,5429985,3337983,3337984,5429989,5444539,5442393,5432599,5432600,5439823,5439824,5458326,8450161,8418195,5433006,5433004,3352628,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,3348027,3348026,5446122,5447404,8423588,8414677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996031, s2 = 11108420, dlinesl.size( ) = 12 s1 = 13197116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996073, s2 = 1920371, int(edited[s2]) = 0 s1 = 10996073, s2 = 1920371, d1 = 15, d2 = 7 Dl.O(d1) = 254353114,293014,293015,254123513,1630852,2811162,4666192,4696107,254236695,933511,933510,254165867,927212,927213,1630548,933796,526255,294877,294876,526253,932026,932492,932494,934376,526574,295050,292863,161970,89478,89479,162789,89491,89489,89667,49329,49331,89037,48934,27346,27348,48939,89045,162038,163016,163011,162006,162007,163380,89783,49386,49385,89780,163370,295378,527201,527107,295333,295334,527113,522651,522650,526586,295058,163193,163197,295065,254100005,294900,525385,932032,1630355,931930,527119,527120,525289,294378,162796,162795,294372,525282,525340,294895,294893,526277,933818,1055999,927183,927182,522639,292941,292942,522645,927179,931883,525255,294352,294351,525248,931869,1638748,2824387,4687249,7417198,11178879,16094684,22228582,29575951,38142689,37086598,37086599,28595474,28595475,37103200,29641416,22289798,17082583,17082585,23349922,30773438,30773415,23349906,23349907,30773418,37816163,29250903,29250902,37103362,37103364,37103381,28595681,256368212,25724258,25724259,25724261,28595751,22228707,22228652,16094713,11178897,7417206,4687255,4687254,6114062,3825477,3825476,6114058,9334190,13631604,16094701,22228634,29576021,38142753,30811080,23382533,17112081,17112080,23382529,28595733,21363158,15384300,15384299,11178910,11178908,16094730,22228681,29576072,33502078,37103271,37103272,38142796,38142797,38207915,38048723,37816165,29250907,21930144,15843201,10979177,10979178,15843203,16145704,16145721,16145722,22289793,29641413,268217920,29250909,22289785,22289765,22289766,28595512,21362976,15384177,10631486,7017758,267963117,10631484,15384171,21362968,22228484,22228483,29575836,22228588,21363033,15384211,10631499,10631498,15384208,21363027,21363154,28595615,21363074,21363073,21363132,21363130,22228655,16094715,16094714,22228654,22228657,29576051,29576052,29576053,255873070,29641410,29641411,38207893,37103276,28595553,22228464,22228463,29575817,28595660,22228448,16094585,16094581,22228437,29575792,33502117,42500742,269517849,71218519,58496666,258049724,37220779,28695402,256327185,47118292,47118293,47118294,258059840,24960144,24960143,268727159,51789286,43388349,43388350,257269483,43388363,53912667,257205846 Dl.O(d2) = 61570340,61203277,49724373,256035544,39160683,30563293,23146264,23146265,30563294,39160685,256035546,36440896,256947654,38426630,38426631,47924255,38009367,29447168,255043248,31417585,23927613,17586086,12413248,254506572,2851703,2851705,4732920,7489124,11281833,16228798,256405539,255914114,72345737,85390619,71802446,59061799,59061800,48157036,38247829,38247827,38605859,36978975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996073, s2 = 1920371, dlinesl.size( ) = 2 s1 = 10996073, s2 = 1920371, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10996073, Dl.E( ) = 22, 1.29e-05 seconds used appending s1 = 13197208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13197208, s2 = 13090299, int(edited[s2]) = 0 s1 = 13197208, s2 = 13090299, d1 = 30, d2 = 66 Dl.O(d1) = 28231068,254277722,24085171,26896689,29526114,22183809,16056970,11148997,7394701,4671570,254107336,928580,1632874,2814520,3668901,3668899,5876035,9000400,13202572,17796891,17796892,22844463,22844464,21559234,21559235,28830137,37370145,40359141,38366469,29793634,24100470,24100469 Dl.O(d2) = 207942639,212719479,212719478,264747452,212719482,207942640,263525798,187186667,187186666,195252344,202147307,202147306,264203228,216624915,219862179,222593905,224940104,226977625,228753788,230317689,231708262,231708263,232957978,234089202,233057275,231817350,230438437,228886902,227125650,225107378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13197208, s2 = 13090299, dlinesl.size( ) = 2 s1 = 13197208, s2 = 13090299, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13197208, Dl.E( ) = 70, 2.38e-05 seconds used appending s1 = 10996113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996113, s2 = 11392468, int(edited[s2]) = 0 s1 = 10996113, s2 = 11392468, d1 = 61, d2 = 18 Dl.O(d1) = 268936644,29542468,38105766,30041911,269785320,257328314,256234748,255340178,15491061,10712388,10712389,15491081,21497724,21497579,15490913,10712254,10712255,10712392,15490905,15490512,10711971,10711970,10711981,10711980,14450701,9941762,9941761,14450697,15491158,10712452,7077035,7077036,4455492,2676552,2676554,4455500,7077117,10712553,15491279,20809542,20145244,14450655,14450656,10712423,7077022,4455449,2676561,2676560,4455437,2676530,2676531,4455452,7076989,7076995,10712360,10712528,15491249,14541175,14541174,14541179,20266892,20267174,14541356,10712405,7077016,7077014,10712396,14541228,14541229,15490506,20145320,14450716,9941777,6534225,6534224,9941770,14450712,15491150,10712447,10712446,7077079,4455477,4455479,7077085,10712515,15491238,21497870,20145230,14450644,9941735,9941737,14450652,10712418,10712410,10712411,15491085,14541212,10004676,10004677,10712345,10712343,15491045,10712534,10712533,10004669,6574625,6574624,10004663,14541186,20266902,27191151,21497742,21497743,27191260,20266963,14541223,14541222,20145384,14450751,9941797,6534237,4094167,4094166,6534234,9941789,14450739,15491145,15491143,10712489,7077071,7077073,10712493,15491213,21497840,23697235,17375040,17375041,20145226,20145236,20145237,15491118,15491119,21497750,21497754,28757093,37290850,256761402,23697267,31186973,31186974,35125415,35125416,28757065,28757056,28757055,37290825,37260813,37260812,35311319,30006351,22636282,16448220,16448218,22636276,30006342,38577211,47198936,37290839,31186918,31186919,28756802,28756803,27038220,20145282,14450682,9941748,9941746,14450675,20145279,27038194,35125310,35311002,37290883,28757141,23697286,17375076,12243046,8268304,5335043,5335042,8268301,12243041,17375066,23697274,31187010,27112974,20211720,20211721,27112980,35202928,27112969,27112970,35202932,44581037,47199007,38577279,30006404,22636319,16448238,11460372,11460371,16448236,22636315,30006397,37290957,31186925,23697189,23697190,31186929,24311029,24311028,27038173,20145258,14450665,14450666,20145266,27038183,30006409,30006408,38577286,47198951,37290878,31186958,23697214,17375032,12243027,8268296,8268295,12243017,17375011,23697179,31186907,27113014,20211739,14503521,14503519,20211735,27113005,35202919,35202920,44581023,55427910,59882031,48490492,38577233,30006367,22636290,16448225,16448226,22636297,30006377,38577242,48490507,38577256,30006385,30006384,24311039,17926093,17926092,23697223,24311001,31828492,40525638,44581124,48490567,38577294,38577293,48490564,49182094,39256496,30660774,23697166,23697164,23697197,23242660,21596372,21596370,23697173,31186899,31186866,31186867,39869343,44581097,35202983,35202982,35202985,44581099,39256407,39256409,48490515,38577248,38577247,48490482,38577227,38577228,48490487,47166765,47166763,48490502,48490503,50562016,40525722,31828564,24311053,17926101,12701393,12701395,17926106,24311068,31828592,40525764,48490584,58555752,49182209,39869331,39256518,30660782,23242684,16975174,11887976,7948042,7948040,11887970,16975164,23242666,30660750,39256461,46974965,46974963,58344093,54675836,43933290,43933289,49182059,39256416,30660708,30660707,33089715,33089717,42037629,50562018,47166783,37260933,28728963,28728965,37260911,47166771,50355281,46915279,46915280,40525712,31828559,24311047,24311049,24311059,31828577,40525742,40525760,50562039,47166797,47166798,46975079,37260942,37260941,47166795,58488064,58488065,60581783,58555837,47167138,39256421,31638392,24131194,17767784,12573680,12573681,17767789,24131203,31638412,40328061,46975137,46975135,46963582,46963583,42673994,42673995,37092029,37092030,28728917,28728908,28728910,28586195,28586196,28728900,28728899,256322648,28688553,28688554,37213126,31358644,31358646,40038621,32751878,32751877,28688604,21438183,15443152,10676732,7052179,7052178,10676725,15443141,21438165,25841311,25841309,25336548,18756960,18756957,15378548,15378550,21355564,25841336,19187565,13703272,9385544,6148785,6148781,7659568,7066500,4449152,2672962,2672964,4449160,7066523,10696397,15469298,21471775,22934823 Dl.O(d2) = 90263684,76433209,260824689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996113, s2 = 11392468, dlinesl.size( ) = 36 s1 = 13197592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996447, s2 = 11115654, int(edited[s2]) = 0 s1 = 10996447, s2 = 11115654, d1 = 10, d2 = 0 Dl.O(d1) = 254240031,1668948,2874914,4768767,7538296,255096541,17430445,17430444,23757545,21030200,15105141,12001850,8055199,8055198,12001849,17089480,22228925,29576370,38143086,31245991,29353665,22022458,267994490,20303978,15152393,15152391,21094860,28303842 Dl.O(d2) = 28012050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996447, s2 = 11115654, dlinesl.size( ) = 22 s1 = 10996531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10681672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10681672, s2 = 10996532, int(edited[s2]) = 0 s1 = 10681672, s2 = 10996532, d1 = 0, d2 = 0 Dl.O(d1) = 19338361,13829688,13829689,19338363,26012657,33830663,42871846,53333057,50986632,50986630,53333053,53333054,60514420,73260415,269614038,75546935,62608954,50986624,40851795,32079853,24505982,24505983,32079855,40851798,50509447,40474113,31779473,31779472,39141615,267978880,254360306,7877961,6931626,4355129,4355127,6931614,10511584,15237746,21203518,28427143,36925798,46803993,255923148,84442958,258139696 Dl.O(d2) = 19338361,13829688,13829689,19338363,26012657,33830663,42871846,53333057,50986632,50986630,53333053,53333054,60514420,73260415,269614038,75546935,62608954,50986624,40851795,32079853,24505982,24505983,32079855,40851798,50509447,40474113,31779473,31779472,39141615,267978880,254360306,7877961,6931626,4355129,4355127,6931614,10511584,15237746,21203518,28427143,36925798,46803993,255923148,84442958,258139696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10681672, s2 = 10996532, dlinesl.size( ) = 2 s1 = 10681672, s2 = 10996532, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10681672, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10996571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996571, s2 = 13244162, int(edited[s2]) = 0 s1 = 10996571, s2 = 13244162, d1 = 39, d2 = 57 Dl.O(d1) = 4823425,4823410,4823409 Dl.O(d2) = 29687674,23281372,17022412,11937743,7989461,5085137,5085136,7989458,11937739,17022405,23281362,30696748,254748216,21824129,21824128,26949610,20064746,20064747,17517448,12352875,8345899,5386765,3312459,1948721,1113256,1113257,267799781,5386772,8345917,11958227,8005097,8005096,9872471,6485629,6485560,4063992,4063990,6485587,6494196,6494195,9864252,6479619,4060384,2430173,1405715,1405713,2430163,4060357,6479556,9864106,254314848,15717075,254686218,21825045,15757686,267817378,23931818,23931817,22154718,22154716,19827327,19827328,18589683,18589593,13210266,13210265,18589592,25145451,32852355,38636570,33149219,30439915,30439914,29131167,21824125,267870656,28718830,254555164,10691196,10691199,10691188,10691190,15462150,17197113,21780307,15721474,15721476,21780316,26935905,22682015,16483773,11485096,11485095,16483767,22682008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996571, s2 = 13244162, dlinesl.size( ) = 14 s1 = 10996593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14182874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14182874, s2 = 1602919, int(edited[s2]) = 0 s1 = 14182874, s2 = 1602919, d1 = 55, d2 = 2 Dl.O(d1) = 256272658,18698043,20871301,20895877,16542291,14957906,10290977,10290976,10316852,6786918,6783718,6783719,6783710,6783709,9070303,9070304,5934413,3710637,3710636,5934411,9073693,5940514,5921877,3702948,3702947,4293520,254640665,3702795,2217792,2217791,3702792,5921610,4294242,3708312,2220754,1288276,735511,418183,418179,236614,130531,70753,38249,254073045,130541,236632,254112511,736293,1289850,2223651,3713431,5938807,6832380,4286575,4286574,4309216,6866098,10415766,15101674,20878579,20878581,20875797,14973714,14973713,20875795,16546509,16546508,16557213,11540831,7677928,254793701,5950640,5950639,9095618,12658346,12658847,12658846 Dl.O(d2) = 40412611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14182874, s2 = 1602919, dlinesl.size( ) = 20 s1 = 10996669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996669, s2 = 11566312, int(edited[s2]) = 0 s1 = 10996669, s2 = 11566312, d1 = 5, d2 = 13 Dl.O(d1) = 254792049 Dl.O(d2) = 22733173,30113773,38689677,48605283,59996811,59996810,59996811,72734024,86331740,100294013,114324588,128207759,141564149,154225212,165981756,176624940,186042648,194252516,201285077,207204133,212086054,216074225,274280079,224567364,226649804,228464922,230059984,231475273,232742867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996669, s2 = 11566312, dlinesl.size( ) = 2 s1 = 10996669, s2 = 11566312, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10996669, Dl.E( ) = 14, 4.05e-06 seconds used appending s1 = 13198862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13198862, s2 = 13554366, int(edited[s2]) = 0 s1 = 13198862, s2 = 13554366, d1 = 57, d2 = 59 Dl.O(d1) = 11434625,7602683,4809611,4809612,3310089,3310090,5382822,7593195,11423285,7746984,7746985,11612914,7732569,7732570,11555637,7694226,4869205,4866194 Dl.O(d2) = 99563732,259039701,77737792,91665542,85870441,259379963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13198862, s2 = 13554366, dlinesl.size( ) = 64 s1 = 13279775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13279775, s2 = 11185490, int(edited[s2]) = 0 s1 = 13279775, s2 = 11185490, d1 = 34, d2 = 0 Dl.O(d1) = 11566903,7698864,4872605,254244047,1702756,2936199,4872603,7698859,7700457,11569069,11571200,11335924,11335926,16292715,11335735,7533005,7533006,11335848,16292830,14379931,11569323,7700647,4873700,2936816,2936815,4873699,7700646,10954162,7250046,254687693,4071359,2436206,2436205,4071356,6497444,9883801,14377689,255325507,14362624,11333954,7531485,4764261,254239939,948142,948141,1666848,2432965,2432966,2432974,2432973,254686571,14370654,10813771,10813772,7532452,7532451,11335132,16292057,22459937,20068617,14384914,9890517,9890518,255983022,16376907,11397681,7573145,7573146,6484999,6484998,9871655,255324143,21788180,21787964,255740177,6489394,254314957,2433259,4066241,4532742,4532741,7194950,4873698,4873699,254796005,254795679,7697788,6482824,4062328,2431224,2431227,4062370,3299696,3299695,255172051,11570216,254796103,7701378,11570242,11279482,9898037,6505131,6505136,7202224,8309059,8309062,7200545,7200544,10888727,15725303,10895538,7206072,7206073 Dl.O(d2) = 60477119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13279775, s2 = 11185490, dlinesl.size( ) = 26 s1 = 11801214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996789, s2 = 10832182, int(edited[s2]) = 0 s1 = 10996789, s2 = 10832182, d1 = 0, d2 = 20 Dl.O(d1) = 4886256,4886257,7719958,11597258,16617659,11591365,11591366,16617661,22839631,30232139,38815374,38815386,30232150,22839643,16626977,11597813,11597812,16626976,22851923,30246134,25731724,22851161,16626333,16626332,15187305,10475848,7716233,7716232,11591623,16618010,22840108,22850884,24093027,23785109,22839572,19099325,13636088,9337385,9337384,13636086,13194009,13194008,18566902,256105793,257174897 Dl.O(d2) = 20893746,20893747,14989815,14989814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 10996829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996829, s2 = 11801227, int(edited[s2]) = 0 s1 = 10996829, s2 = 11801227, d1 = 1, d2 = 4 Dl.O(d1) = 254311690 Dl.O(d2) = 4799819,7588289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996829, s2 = 11801227, dlinesl.size( ) = 2 s1 = 10996829, s2 = 11801227, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10996829, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11801228, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10997063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 475450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13246239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13246239, s2 = 10726947, int(edited[s2]) = 0 s1 = 13246239, s2 = 10726947, d1 = 60, d2 = 43 Dl.O(d1) = 18226595,23112183,23112185,30530325,23112144,23112145,23112242,255132387,7870363,4996274,4996273,7870361,11786814,16853428,14399138,14399135,20082881,18626027,18626024,18624778,15750119,14476267,9960389,9960392,13251562,13142954,9041752,9041755,13253174,18639881,19276352,13779112,9447038,9447037,13779107,10669581,10669580,14957275,10290454,6764685,4239426,4129636,4129635,6591736,7776537,11666101,10598602,7034298,7034297,7052771,4543984,4543988,4439469,2666222,2633063,2633062,2647537,2647539,3923637,2348924,2348923,3923440,2348785,2348783,3923436,6266498,9550550,10611842,15359851,14092576,9692906,9690743,6374115,3999605,3999604,6374112 Dl.O(d2) = 268229902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997199, s2 = 2646461, int(edited[s2]) = 0 s1 = 10997199, s2 = 2646461, d1 = 128, d2 = 49 Dl.O(d1) = 5000486,3021877,1756672,1756673,3021879,5000490,5000407,5000405,7875799,11793928,16861967,23122013,30540893,28525783,21303929,15334923,15334924,21303930,17437769,12291481,12291480,15904449,11290510,7496153,7496154,11025802,11025803,11290507,11290506,16240131,16726387,16726386,255169897,8301178,5355320,5355319,8301177,12291493,11291149,11291150,16240935 Dl.O(d2) = 74639102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997199, s2 = 2646461, dlinesl.size( ) = 22 s1 = 13200060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13200060, s2 = 4294323, int(edited[s2]) = 0 s1 = 13200060, s2 = 4294323, d1 = 87, d2 = 109 Dl.O(d1) = 11231693,11231695,8288101,8288102,8517157,5515512,5515511,8517156,12561799,255583799,13443021,9192335,9192334,13443019,18866144,17781685,12584644,12584645,16889412,254813149,7896390,11818205,8516274,8516273,5548335,3433939,3433938,5548332,8549752,5566572,5566573,8570714,12624641,11233288,8557990,8557989,6015087,3762418,3762417,5555017,5555018,8558110,8288302,5346821,254299557,2252879,3760843,6013382,5557589,5016000,5016001 Dl.O(d2) = 127501758,140858206,153535078,165327162,176020286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13200060, s2 = 4294323, dlinesl.size( ) = 20 s1 = 10997407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997407, s2 = 13179537, int(edited[s2]) = 0 s1 = 10997407, s2 = 13179537, d1 = 11, d2 = 12 Dl.O(d1) = 7989333,11937546,17022156,268014194,6465880,254314161,254314159,6465879,9844761,14331072,20010460,26891550,257435897,37074643,28571565,28571566,37074644,259916639,85409618,71821151,59080041,59080040,258718805 Dl.O(d2) = 255744931,9921096,254471515,4085545,4085755,4085758,4084380,2443697,2443695,2443731,4084446,6518787,9918843,14420356,19186203,18090541,12825433,12825432,18090540,254635980,9124969,6167567,3859115,2311907,2311906,267863989,4115677,6569933,9124308,254916317,7282484,7282483,5668651,3526273,3526274,5668653,8707460,12806181,255607887,254922936,5969660,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,3734528,2235928,2235929,3734531,5970744,3733902,2235574,1296463,1296461,2235565,2463442,2463443,4118552,4394992,6993322,10599919,14423306,9921777,9921779,8635941,5616254,3539347,2106887,2106886,3539341,5689473,8739367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997407, s2 = 13179537, dlinesl.size( ) = 14 s1 = 10997579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997579, s2 = 13317353, int(edited[s2]) = 0 s1 = 10997579, s2 = 13317353, d1 = 6, d2 = 0 Dl.O(d1) = 8055635 Dl.O(d2) = 583753,583752,583739,583742,1036128,1814493,1822043,1866544,1815341,1036584,1036581,1815332,1815156,1036480,1036481,1815161,3106457,5114777,254256307,1819960,3114407,3113700,254382157,8034771,8157211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997579, s2 = 13317353, dlinesl.size( ) = 28 s1 = 10997697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997697, s2 = 6715156, int(edited[s2]) = 0 s1 = 10997697, s2 = 6715156, d1 = 36, d2 = 42 Dl.O(d1) = 255152363 Dl.O(d2) = 257640985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997697, s2 = 6715156, dlinesl.size( ) = 46 s1 = 13201626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15161777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997841, s2 = 16294068, int(edited[s2]) = 0 s1 = 10997841, s2 = 16294068, d1 = 11, d2 = 12 Dl.O(d1) = 254835293,17272300,23584641,31068828,39746873,49765365,61244152,74024428,61244147,49765362,42187076,42187075,52545805,258407039,91519522,91519518,259661093,258433164,257224198,256150244,37541992,37541991,47449978 Dl.O(d2) = 86921281,100901642,112716676,98721437,98576817,256073474,58375341,60568222,73311256,71811204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997841, s2 = 16294068, dlinesl.size( ) = 18 s1 = 16294067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294067, s2 = 10997842, int(edited[s2]) = 0 s1 = 16294067, s2 = 10997842, d1 = 15, d2 = 0 Dl.O(d1) = 52503745,51181913,256584165,32232989,41025373,257597963,30666194,30666193,24635440,18179991,256073475,39261688,39261687,49187507,60587661,73331921 Dl.O(d2) = 24635443,24635442,25752833,256150245,257224199,258433165,259661092,98486955,98486959,258407038,58284643,46918756,46918757,58284645,70999841,84563769,72463453,59727874,48343534,38440193,29882238,22526835,254835292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16294067, s2 = 10997842, dlinesl.size( ) = 8 s1 = 10997893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10862900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13274455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16297329, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10997977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997977, s2 = 11055710, int(edited[s2]) = 0 s1 = 10997977, s2 = 11055710, d1 = 1, d2 = 11 Dl.O(d1) = 5326545 Dl.O(d2) = 254183927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997977, s2 = 11055710, dlinesl.size( ) = 8 s1 = 13202332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998135, s2 = 14183004, int(edited[s2]) = 0 s1 = 10998135, s2 = 14183004, d1 = 7, d2 = 7 Dl.O(d1) = 8319358,12316555,17469787,23802765,31288974,256517118,61458597,74237987,74237972,61458584,49980402,39963910,39963909,44457922,35082978,26998239,20107764,14418144,14418145,20107766,26998243,35082988,44457939,55302534,44457934,257310059,258530003,81106917,78480854,65196514,65196515 Dl.O(d2) = 8319358,12316555,17469787,23802765,31288974,256517118,61458597,74237987,74237972,61458584,49980402,39963910,39963909,44457922,35082978,26998239,20107764,14418144,14418145,20107766,26998243,35082988,44457939,55302534,44457934,257310059,258530003,81106917,78480854,65196514,65196515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998135, s2 = 14183004, dlinesl.size( ) = 2 s1 = 10998135, s2 = 14183004, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10998135, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14183003, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10998157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998157, s2 = 10681657, int(edited[s2]) = 0 s1 = 10998157, s2 = 10681657, d1 = 0, d2 = 0 Dl.O(d1) = 5370886,254412013,3393023,254606985,8494076,254865923,8547492,6043102,3781031,3781032,6043104,5570351,3454281,3454282,5570352,8574504,12365532,267780514,5545946,4545642,2732577,1583447,254230117,4545640,5356519,3472933,2060107,2060109,3472942,5596259,5514819,5514821,5513755,5513756,3992682,3992683,5567751,5567752,8571817,12625910,12566427,10910866,10910865,12462760,8431481,5443080,3346124,1967469,1123605,1123606,1967475,3346131,3286944,3286943,3346100,5443044,7897857,7897856,11819594,12626444,8572205,5568021,3451946,2045211,2045212,3451948,5568023,8572209,12626448,17831656,12677088,8609375,8609376,12561217,12561218,17752821,12586800,8539157,5537275,5537276,8539159,12586803,17784184,18931262,13496041,254652719,6046921,9233244,8431456,5443061,3346111,3346112,5443063,8431459,8431311,254406563,3346073,3293817,1937190,1937189,3293814,5358380,8304835,12296306,16387788,19361908,15753362,10909722,10909723,12678242,12678240,17897958,17796128,17796127,17455616,12305493,12305495,17449324,12591380,12591379,12569145,12569144,17762502,22956315 Dl.O(d2) = 5370886,254412013,3393023,254606985,8494076,254865923,8547492,6043102,3781031,3781032,6043104,5570351,3454281,3454282,5570352,8574504,12365532,267780514,5545946,4545642,2732577,1583447,254230117,4545640,5356519,3472933,2060107,2060109,3472942,5596259,5514819,5514821,5513755,5513756,3992682,3992683,5567751,5567752,8571817,12625910,12566427,10910866,10910865,12462760,8431481,5443080,3346124,1967469,1123605,1123606,1967475,3346131,3286944,3286943,3346100,5443044,7897857,7897856,11819594,12626444,8572205,5568021,3451946,2045211,2045212,3451948,5568023,8572209,12626448,17831656,12677088,8609375,8609376,12561217,12561218,17752821,12586800,8539157,5537275,5537276,8539159,12586803,17784184,18931262,13496041,254652719,6046921,9233244,8431456,5443061,3346111,3346112,5443063,8431459,8431311,254406563,3346073,3293817,1937190,1937189,3293814,5358380,8304835,12296306,16387788,19361908,15753362,10909722,10909723,12678242,12678240,17897958,17796128,17796127,17455616,12305493,12305495,17449324,12591380,12591379,12569145,12569144,17762502,22956315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998157, s2 = 10681657, dlinesl.size( ) = 2 s1 = 10998157, s2 = 10681657, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 10998157, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10681656, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10998281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998333, s2 = 10980556, int(edited[s2]) = 0 s1 = 10998333, s2 = 10980556, d1 = 13, d2 = 11 Dl.O(d1) = 5419163,3331357,1959238,1959237,2200531,1278481,1278477,1345579,1345576,1098647,616709,616711,1098702,1737754,1737757 Dl.O(d2) = 1250106,1250110,1282889,1283532,1281731,732754,732753,254091030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998333, s2 = 10980556, dlinesl.size( ) = 10 s1 = 10998347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998347, s2 = 11450850, int(edited[s2]) = 0 s1 = 10998347, s2 = 11450850, d1 = 0, d2 = 13 Dl.O(d1) = 8406996 Dl.O(d2) = 256531533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998347, s2 = 11450850, dlinesl.size( ) = 14 s1 = 13203198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13203198, s2 = 14502050, int(edited[s2]) = 0 s1 = 13203198, s2 = 14502050, d1 = 8, d2 = 12 Dl.O(d1) = 257535560,8465472,254408871,3366060,5471305,8465466,254535506,5980188,9138538,13369982,12682761,12480605,8451519,5459446,5459447,8451521,12480607,9140103,5981210,3740142,2239137,2239136,3740137,5981206,255256683,17643129,12472265,12472266,268258697,17651413,17621160,12439732,8408165,254405297,3335380,267911291,12439726,10853438,7175522,7175521,8411079,8411078,12442735,12440019,8443788,5452741,5452743,8443796,12474151,12480885,8451740,5459588,5459589,8424183,12455861,12480890,12470603,12470517,8439689,8439688,10775792,7119845,7119844,10775789,12463232,8431917,8431918,12463237,12464948,17620954,12476972,8447172,5455643,5455642,3356654,1973315,1973314,1973307,1973308,3349982,1969548,1124638,1124637,1969543,3349954,1969535,1969536,3349958,5449346,8439600,12470399,12474104,8443766,8443767,12474109,17642208,12467255,8436264,5446885,5446883,8420624,8420622,9140706,12471213,8442076,8442074,8440386,5449896 Dl.O(d2) = 12470680,12445277,12445278,17625276,12455430,8423752,8423753,12455431,12459332,12459325,8427932,8427931,12458983,12458985,12442921,12442916,12438048,8406613,8406617,5454824,5454828,5438688,5438686,5454547,254406971,1969284,1124530,254187065,3349474,5448524,8438418,12469188,17643456,23988748,23976991,256026293,31486765,256533147,50195590,61679057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13203198, s2 = 14502050, dlinesl.size( ) = 2 s1 = 13203198, s2 = 14502050, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13203198, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 14502049, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10552880, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15099695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998517, s2 = 11360490, int(edited[s2]) = 0 s1 = 10998517, s2 = 11360490, d1 = 33, d2 = 29 Dl.O(d1) = 5492781,5492782,8488232,254418571,3447716,254409817,1986725,1164531,653511,653514,653505,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,1153689,1152006,646545,358764,196477,195818,195816,357486,644093,1148137,2008046,3404738,5517998,8519791,5554060,5554061,5554049,5554048,5529472,3415402,3415403,5526341,3412659,3412657,5483162,5483160,8482362,8535418,5533356,5533357,8535420,5595475,254617205,5595474,254617465,3473611,3473610,254617463,8495265,8492628,5493321,5493322,3385669,1994212,1139629,639350,354988,354990,639360,1139653,1994237,2264803,1313789,749885,426217,426218,749888,254205113,3780886,254412901,3400788,3374891,1986211,1986212,3033119,254350892,647990,647991,1154989,1166512,654684,363036,363035,654681,1166504,2016416,2016417,2021882,2021676,2021677,3422549,3422546,5492586,3382908,2023379,2023382,3424871,2047605,1174154,1174156,2047586,3386120,3385542,1994127,1994129,2061363,3474567,3376807,254188383,1135603,1159043,1159044,2025103,3426806,5531451,8504766,5505270,3394136,2000499,254251011,1007728,1007730,254374773,3302022,1942093,1109372,622582,346018,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705656,2030692,1989343,1175883,1175882,2041893,254411079,254608053,3401417,254189731,643133,356965,356967,643141,1146494,1154219,2010168,1149458,644825,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991407,1991404,1999660,1142956,641131,641132,1142958,1999662,3393062,2048182,2021613,1156823,649034,360049,360048,269529180,268003557 Dl.O(d2) = 219932606,272583744,201582319,194599832,260665162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998517, s2 = 11360490, dlinesl.size( ) = 42 s1 = 10998915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998915, s2 = 11388444, int(edited[s2]) = 0 s1 = 10998915, s2 = 11388444, d1 = 17, d2 = 15 Dl.O(d1) = 254293264,17929334,255236870 Dl.O(d2) = 262846201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998915, s2 = 11388444, dlinesl.size( ) = 24 s1 = 2284577, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11802020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10999043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 151179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10999521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10999521, s2 = 11144102, int(edited[s2]) = 0 s1 = 10999521, s2 = 11144102, d1 = 29, d2 = 24 Dl.O(d1) = 8811159,254553714,24725549,32341327,41156140,51341125,63021979,76005316,258186818,118027124,131853060,145111379,134033901,120200636,105999572,91804473,77881846,64692049,64692048,257662816,105999564,120200628,134033895,127635870,127635869,120200655,105999593,105999592,120200653,134033909,127635871,113767333,99753010,99753011,113767334,127635873,140984807,130020791,116111005,102053267,102053268,90867967,76989816,63879322,52061051,41747163,32826548,32826549,41747165,52061054,63879326,76989820,90867972,101631623,90867953,90867954,105046718,119239172,133069091,260310932,129558680,127338831,113469232,258348508,85513044,85513054,71925502,71925500,85513052,99458991,104631011,104631010 Dl.O(d2) = 132631009,261933691,262822270,128821374,260831408,60540473,60540472,73284212,259323388,70528484,57826383,46469718,46469717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10999521, s2 = 11144102, dlinesl.size( ) = 38 s1 = 10999957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11000107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000107, s2 = 11365420, int(edited[s2]) = 0 s1 = 11000107, s2 = 11365420, d1 = 7, d2 = 4 Dl.O(d1) = 268020941 Dl.O(d2) = 260790046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000107, s2 = 11365420, dlinesl.size( ) = 14 s1 = 14117277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14850510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15091537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11000241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000241, s2 = 14034298, int(edited[s2]) = 0 s1 = 11000241, s2 = 14034298, d1 = 5, d2 = 7 Dl.O(d1) = 9084621,13302959,13314354,255651607,254960222,12665155,254312194,254455990,3823469 Dl.O(d2) = 3823466,3802906,3802907,6077850,9278774,13553572,13623529,19082046,19145046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000241, s2 = 14034298, dlinesl.size( ) = 8 s1 = 14034297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034297, s2 = 11000242, int(edited[s2]) = 0 s1 = 14034297, s2 = 11000242, d1 = 4, d2 = 7 Dl.O(d1) = 13800718,9463846,6205301,6205300,9463843,6205305,6205304,3884174,2325841 Dl.O(d2) = 2325844,254455991,254312195,6390929,254960223,255651606,22770023,16556002,11539815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034297, s2 = 11000242, dlinesl.size( ) = 8 s1 = 11000321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000321, s2 = 14080458, int(edited[s2]) = 0 s1 = 11000321, s2 = 14080458, d1 = 19, d2 = 25 Dl.O(d1) = 255252875,22072536,22067468,22067467,17770351,17770353,254611828,11983144,10411457,10411456,15095884,21018340,17746246,17746245,17770152,12575414,254275522,24133889,254417664,17742947,19227531,16889331,16889327,21559499,24182405,254278604,40335009,31646257,24139687,24139686,31646255,29673600,267847564,30186053 Dl.O(d2) = 8487981,5489007,3379734,254275198,8487979,12526217,17708222,22184226,22184227,29526457,254415772,12540119,12540118,13737444,13737445,19229675,17786286,17786287,24153477,31663990,40329215,31639710,24135262,18759712,18759713,267847660,31489897,23992514,19706379,254414184,30237924,22844652,22844651,27042215,29096275,29096274,34319864,26442023,19702857,19702856,22834146,16613180,16613181,255087244,15668708,15668707,21711125,255855668,38003870,33169005,25426387,25426386,255170676,29911916,22554809,16377466,11398094,7573456,4789835,4789836,7573460,11398100,11057888,11057889,15935550,22037557,29368342,37934829,37934737,29374015,22043155,22043156,26704634,19883461,19883460,26704630,34699108,37957151,29622699,29622700,37871822,29302368,21975043,21975041,27097462,35186254,257888733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000321, s2 = 14080458, dlinesl.size( ) = 14 s1 = 11000387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000387, s2 = 11140246, int(edited[s2]) = 0 s1 = 11000387, s2 = 11140246, d1 = 23, d2 = 20 Dl.O(d1) = 42021024,268242288,18765717,13362798,9132406,5976326,3737464,2237694,2237695,3737466,5976330,9132417,13362825,18119033,18675328,25245708,256307828,21698977,21698976,18118257,18118258,18120548,12848842,12848844,18119157,18119156,24556999,24558810,22117408,16004378,16004377,17488960,12331064,12331063,17488956,18118592,12847644,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559398,24559403,25245978,18675577,17230477,17230479,18675787,25246283,32968375,25246267,24556330,24556331,32137930,24557836,24557838,24556739,23386718,23386719,18119467,12848168,8737011,5687959,5687958,8737006,12848157,18119443,24556989,18119148,18119147,24556982,29436627,22652627,22652625,30025686,32140555,32140558,37867061,37867062,39028274,37867058,36441992,36441988,40915536,40915534,40916973,32139578,32139577,40916972,51058107,62687962,61958241,50462429,40425018,31731252,24223113,24223112,28025261,28025263,269815044,2238849,1298296,740945,421117,237654,237658,131222,131221,237704,421218,741118,1298598,1400961,1400962,2420291,4039296,6439733,9796459,7237362,6439752,5442709,3741063,3741065,5982791,9142499,13374437,9141108,9141109,13374441,12360955,9142555,8449920,8449919,12479203,9138845,9138846,11602545,11602546,13374402,9141090,5981836,3740504,3740503,5981833,8410987,12442633,255183361,8416610,8416609,12448340,12473088,12437654,12437653,17619466,255185713 Dl.O(d2) = 1968669,1968668,3348290,1972910,1972911,3340563,1964410,1964409,3340078,5433335,4321015,3337898,1962956,1962957,3337905,5429831,8413829,8441728,8441727,5456557,5456558,8432340,8432339,8451156,8451154,255187669,16183060,11248841,8420954,8420953,7290887,7290890,11013669,12443454,8411802,254405469,3337024,5428379,3353765,1971585,1125686,1125685,1971578,3353757,5455212,8446559,12476380,11935772,254564799,3083741,3083740,5084031,5599726,5599723,8416797,12448519,12460800,8429610,8429608,12460797,12465517,12440790,254598313,5426368,254856573,12440504,254856533,5426126,3335616,3335615,3337984,5429989,5444539,5442393,5432599,5432600,5439823,5439824,5458326,8450161,8418195,5433006,5433004,3352628,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,3350610,3350614,5450455,8441059,8436429,8436430,5494809,5494808,8424588,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424989,8407130,5438224,5438222,3351030,3351031,5426282,8409022,8452703,8452705,12481728,12471323,255186605,2238884,1298314,740951,421119,237654,237658,131222,131221,237704,421218,741118,1298598,1400961,1400965,2420301,2238654,2238655,3739295,3739301,5979756,9137916,13370075,18774012,18775558,13375853,13375851,254647575,5982889,9142646,13373517,9140419,9140420,13373518,13375381,13374959,13374960,15697521,12624243,12479450,8450266,5458429,4482649,4482647,7119614,10775413,15577340,13373583,9140475,5981452,5981453,9140479,10775843,7119873,7119874,10775849,15577857,17651390,12480655,8451560,5459479,3356584,3356586,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475620,5599242,8613993,9141658,5982212,5982211,5982247,5982246,9141703,5982725,5982724,9142401,13376100,12442745,8411084,5981285,5981286,9140229,13373295,13373194,9140213,5981277,5981276,8444996,9138790,13371382,13373453,18777602,18777601,255186473,12470384,17644436,13373475,9140382,5981394,5981393,9140378,9142691,254918357,8452336,8452335,12481387,17651892,17902697,13375665,13375667,12457018,8425310,5438339,3343108,3343107,5438333,8425299,8451693,8451694,12472646,8442036,8442035,12472640,17615853,12433986,12433987,15677247,10853433,10853432,8435397,5446222,5446221,8435395,12034809,8090599,254826669,9140450,13373554,18778116,17621663,12440209,12440208,12470548,17644593,23989668,17645246,12471567,8440823,5450261,3350473,1969806,1969807,3350478,5450276,8423816,12445286,8423797,5450809,5450808,8441423,8436390,5446971,3348545,3348546,5446975,8416109,5431417,5431418,8416110,12447854,15577746,12473304,12473305,17637407,12461404,12461403,17633730,17641208,17630260,12451627,12451628,17630262,12459936,8428621,8428623,12459946,12471183,12465887,8440370,5449885,5449884,5455267,3353798,3353799,5455273,3357027,3341539,1964966,1964965,3341532,5435598,5439536,8426840,12458347,12448842,8417146,8417144,8445266,5454102,5454104,5454095,3353015,3353013,5454085,5448244,3349301,1969202,1124495,1124496,1969204,3349305,5448249,8419827,5434229,5434230,8419829,12451528,267911635,5435737,8419855,7237600,4562707,2743908,1590217,904019,904017,1590206,2743871,4562653,5450936,5450932,8441566,5452379,3351871,3351873,5452388,5425449,5425447,5448714,8438665,8412451,5428866,5426828,3336054,3336055,5426832,8409745,12441421,12450171,8442823,8418581,8418584,8436512,8436509,12443765,12450792,8443022,5452126,5452123,8428182,8432278,8415106,5430716,3338393,1963217,1121361,629124,629120,1121353,1963197,3338355,3355569,3355568,5458002,8449838,8421687,8421688,255184387,17641193,12465687,12465684,12456645,254859409,8432920,8426850,5439541,5439540,8426848,12458351,255574765,17627721,17627723,12456268,8424569,5437771,5437773,5444146,3346814,3333388,3333390,5422470,8403266,8432840,8412289,8412288,12443893,17315496,12190799,12190800,12682859,254617739,5599690,8614587,12682857,12443443,8447461,5455888,3354155,1971807,1125811,1125812,1971813,1963641,1963638,3339118,254599047,3343742,1966187,1966188,3343744,3344590,267772425,1123225,1962927,3337846,3339210,1963679,1963677,3339203,5432064,8416972,8422067,8422068,12452731,8421114,5435194,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8414927,12437379,17619103,12438544,254598133,3334918,1961346,1121165,1121164,1962820,3337648,5424235,7226319,10924452,12454531,8441254,5450632,3350721,3350723,5450641,8441270,12460557,8429322,8429323,5454050,3352988,1971180,1971179,3352986,5454048,8445197,12475236,17628670,12449554,12449555,8446352,5455051,3353655,1971522,1971521,3353652,3353594,1971559,1125674,631288,350491,350490,631285,1125668,1971546,3353701,5455135,8446471,8442823,8418581,8418584,8436512,8436509,12443765,12450792,8443022,5452126,5452123,8428182,8432278,8415106,5430716,3338393,1963217,1963216,3338364,3338363,3341046,1964686,1964687,3341029,5434860,5451782,5451781,5427945,3336768,1962362,1120939,1120938,1962360,3336764,254598539,8438359,12469144,12475938,8446004,8446003,10800007,10800008,12463338,12454607,8422978,8422981,12439045,12459443,8428066,8428065,12459436,8450465,5458613,5446857,5428822,5428823,8412396,8437444,8437445,8420535,8420534,8436192,8436194,11248775,11248773,267912019,5447087,8436534,7237153,5426901,3336103,1961989,1120752,628841,628842,1120756,1961999,3335018,1972873,1972870,3355835,5458344,8418405,5453549,3352624,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,3350610,3350614,5450455,8441059,8436429,8436430,5494809,5494808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000387, s2 = 11140246, dlinesl.size( ) = 20 s1 = 14183174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13207128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13207128, s2 = 11794534, int(edited[s2]) = 0 s1 = 13207128, s2 = 11794534, d1 = 13, d2 = 15 Dl.O(d1) = 9179693,6008237,4118220,2463236,2463235,1423886,810061,459115,459114,810058,1423881,2463268,1423876,1423875,2463264,2251017,1306200,745541,423549,239004,239003,423545,745529,254204341,3757836,267931249,6008229,3757807,2250970,2250969,3757805,3755152,2248893,2248894,2463241,1423859,1304582,744417,422839,238582,131823,71639,38848,38847,71636,131818,238578,422828,744401,1304551,2248815,1305864,745318,745319,1110282,1305589,745125,745124,1305586,2250223,1943358,1304813,744555,744554,1304806,2249218,3302970,3302969,2248916,2248917,3302426,3302427,3302718,1942685,1942684,1942538,1942537,1310309,748037,425119,254113251,1310308,794717,450342,450341,794731,1395139,803716,803717,812324,1428074,2257617,1310315,748041,748042,1310316,254300051,6022813,9199021,13451511,18876443,25478274,33226662,42186866,52545589,64419699,72070909,72070908,64419686,257201447,33226656,33226657,42186858,52545581,64419680,52545574,52545573,258406999,77588394,64419698,52545586,52545585,64419696,72070949,59336645,47944821,38030971,29468353,22133024,16017598,16017597,22133022,29468349,38030964,38030950,29468342,29468341,38030949,47944785,59336614,258738835,85658020,72070930,59336630,47944795,47944796,59336632,72070913,59336608,59336609,59336622,59336621,72070927,259364039,99607531,113622261,271656696,108657767,108657758,94370118,257903540,66884911,80314000,94370120,108657760,271656694,143508072,130177013,116337176,102241745,102241744,259012552,91709906,77782266,77782254,64599385,52698763,42311816,257209725,64599387,77782256,259043507,64599372,52698751,52698752,52698747,42311804,33331537,33331539,33331556,25571765,25571764,33331553,42311819,52698767,64599392,77782260,64599425,257167794,258370778,52698804,52698797,52698796,64599398,64599397,77782265,91709905,101131816,91709931,77782289,77782290,91709932,105917253,91709936,91709937,101131803,101131798,87133614,77782296,77782295,91709940,258551642 Dl.O(d2) = 101131818,101131786,101131787,101131824,258523900,64335517,64335516,77499886,257903528,119896636,257903526,122922494,123545141,123545143,122922499,114296702,114296703,105657509,94370078,80313961,80313960,94370075,108657717,105731015,256212856,80313955,80313954,94370066,94370081,80313964,66884882,54627383,54627382,66884880,80313959,94370073,108657714,114296699,258523898,270657652,128179525,257903532,256738082,72708121,86305054,94370062,255738276,254969994,43885021,255322698,80313956,77353684,256212816,256212818,80313969,66884884,54627384,43885023,34613768,26624756,254468450,43885020,54627380,255738274,44377200,55227883,67570974,255738232,67570547,75020053,62199125,50680969,40623513,31909217,30085896,30085897,38663148,33072441,25342523,25342522,33072438,42016488,52355689,59971040,48579260,255727984,22704045,22704044,19814335,19814334,26624896,34613937,43885140,34998299,26916848,20032412,18573975,18573977,25126558,32831575,28948416,28948414,31909199,31909198,31909225,26917374,20032904,14349661,14349660,20032899,26917367,26916761,26916762,34998224,34998427,34998428,44376821,52355681,44377160,44377009,34998623,255322708,26624871,34613909,34998640,34998445,34613840,26624808,19814284,14193118,9756953,6415468,6415465,9756944,14193105,19814264,26624782,34613808,26917285,26917283,26624770,26624769,34613793,43885042,36544421,28076477,28076478,26624904,26624905,34613954,33072435,25342521,25342520,18872159,13448209,13448210,18872164,25472578,30515573,33219348,26916802,20032372,20032373,26916806,34613979,26916872,20032425,20032424,26916868,34998325,34998260,33072398,25342495,25342492,26624916,19814343,14193153,9756975,6415479,4024945,4024944,6415476,9756966,14193131,19814307,17376923,17376924,12295458,8304398,8304399,255170195,12825119,255216509,24521799,32097047,31255261,31255260,39930323,39112815,30515566,30515565,39112811,39930310,33226619,33226606,255665983,13451494,13451492,18876407,25478224,31255228,23770763,23770764,31255230,25478257,18876424,13451502,9199013,9199014,13451504,18876430,17442453,12295449,12295448,17442451,18876447,13451514,9199022,9199020,13451509,12295440,8304386,5358162,5358163,8304388,12295444,16843427,11779144,11779145,16843429,16843475,23099726,30515661,33226634,33226633,257791783,42186824,42186817,33226604,25478226,25478227,33226592,39930303,39930304,49947694,39930313,31255244,23770776,17442430,17442431,23770781,255961112,33226621,255961108,23770832,17442468,12295457,8304396,5358167,3293714,3293715,5358171,8304401,12295463,16843473,16843472,23099722,23099650,23099651,30515562,39112808,39112915,39112914,33226626,25478245,18876417,13451498,9199010,9199011,13451499,18876419,25478247,25478240,25478241,33226624,42186830,39112859,30515619,30515620,39112860,34613833,34613832,43885069,44377156,34998766,34998767,44377009,34998623,26917212,26916732,26916731,34998193,34613977,34613979,26916872,20032425,20032424,26916868,34998325,34998260,33072398,25342495,25342492,26624916,19814343,14193153,9756975,6415479,4024945,2412011,1396060,794184,449909,253304,253305,414149,414148,449151,793143,726762,726761,1271799,1395448,803235,803236,1411791,1395953,794065,449796,253207,139885,139886,254095285,794073,1273233,1272953,254112043,414033,414852,414851,728723,1274278,793801,449579,253015,139757,139756,253013,449575,793795,454881,256335,256332,415706,234960,234961,415712,449900,794174,727041,413590,233549,233548,413587,727036,414878,234396,129338,129339,128797,128796,233558,413606,254145347,726289,413004,413003,726287,748163,460442,259676,144043,79234,43354,43353,79231,144037,259667,258571,143367,78740,43012,43011,43014,23835,13291,13292,23837,43016,43015,254073727,70885,38322,21075,21079,23912,43127,78905,143601,258956,459123,810076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13207128, s2 = 11794534, dlinesl.size( ) = 2 s1 = 13207128, s2 = 11794534, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13207128, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 11000627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000627, s2 = 11137980, int(edited[s2]) = 1 s1 = 11000669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000669, s2 = 14021772, int(edited[s2]) = 0 s1 = 11000669, s2 = 14021772, d1 = 3, d2 = 9 Dl.O(d1) = 8491295,5491898,5491902,8491302,12530243,17713340,24069313,31574851,40261916,50282938,49374855,257131558,30841911,23412065,23412066,23412079,30841938,39446369,49374862,256580622,43041267,33983797,26143990,19446733,19446734,26143991,33983799,43041272,53519659,58895756,71033013,58317076,46950017,46950018,58317078,61401562,49921774,39902123,33983875,33983878,40787863,32030948,24468539,18048542,12794679,8698707,5662072,5662073,8698712,12794686,14498387,9976220,9976221,14498388,20205153,27105362,25050091,18513519,13153851,13153850,18048991,12795054,8698976,5662231,3521588,3521589,5662233,8698982,12795061,18048564,12794704,12794703,18048539,18048571,12794706,255035855,7051178,7051177,254328914,21435623,24752620,18277963,12972709,255227913,8829483,5753413,5753414,8829486,12971573,18225103,23361713,29061881,32739827,39389349,32370992,24752614,18277955,268278863,12972713,12972714,8965617,8965618,13153748,18512689,14253783,9797204,6440244,6440245,254967653,15709455,10874978,10874977,15709405,15709406,18513335,13153716,8965600,8965601,13153718,18513336,21766220,21766219,21365188,15385945,10874919,10874918,13153722,11981781,8030276,5119444,3109890,1817260,1037624,1037625,1817262,3109894,5119450,5118379,3111729,1823497,1040868,1040867,1823494,3108036,5116885,5112474,4679226,2819055,1635484,1635483,2819037,3134703,3134707,4755605,7521493,8052382,8052383,8059037,267826354,8030092,5119219,5119218,8023228,8073495,5167913,5158063,3141564,1837288,1837287,3141563,5158060,5134926,3122067,3122069,5134928,5229064,5229065,5149019,5126690,3115655,1820782,1039487,585414,585416,1039493,946593,533775,299343,165841,165840,299338,328517,588634,1045910,590248,590250,1043613,1827403,1043049,587216,587215,1043044,1827390,3126056,3142588,1837974,1837975,3142590,5159194,8065518,5228383,3190166,3190165,5133691,3124963,3124962,4678877,2818845,1840285,1840284,3133369,5148884,254824403,11975664,11328782,7525435,7525434,8061056,5153450,3137352,1834415,1834411,1054884,1054883,1848428,254384739,254178331,1048405,1837200,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693,584461,326566,180236,99075,99074,180234,326562,584451,1037625,1817262,3109894,5119450,5118379,3111729,1823497,1040868,1040867,1823494,3108036,5116885,5112474,4679226,2819055,1635484,1635483,2819037,3134703,3134707,4755605,7521493,8052382,8052383,8059037,267826354,8030092,5119219,5119218,8023228,8073495,5167913,5158063,5158064,8051475,5143143,3128706,254256125,1817811,1821930,1040065,1040064,1821928,3117488,5126751,3115701,3115700,5126747,8036691,8080026,8038695,5128980,3117492,3117493,4757675,5117182,5117183,5100955,3096260,1809112,1809114,3096268,3098351,3098348,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037558,1817130,3109665,3104692,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1042903,587158,327848,327851,587176,1042944,1827213,1835086,1047236,947412,534166,534165,947408,1665423,2869624,3111702,1847588,1054367,592862,330534,182043,99888,99889,181563,181564,329501,590721,1050127,1840167,3145885,3141576,3141574,5158076,8016650,8016649,11972186,11990330,11165262,7406722,4679640,2819340,1635630,930103 Dl.O(d2) = 1047221,590099,588693,584461,329248,329247,584418,583401,583404,587853,587852,1044321,1829748,2870829,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,585671,585669,254177507,1041627,1824849,3104776,3104777,5112574,5110884,3103442,3103443,5110886,4759339,2868762,2868763,4759342,2868799,2868800,2869448,1665325,947371,534155,534157,947380,1665352,2869497,1836414,1836415,1835140,1835139,1665621,1665622,1842484,1051420,1051419,1842476,3149384,1846397,1846396,3155182,5173633,3156613,1847445,1054284,1054282,1847434,1845323,1053056,592140,330149,330147,592133,1053038,1845288,3105733,3105760,3105780,1814905,1036336,583847,583846,1036363,1814956,3106116,5110068,3106593,3106594,3129992,4761032,2869843,1665540,1665538,1825776,3123594,5136873,5170134,5066967,5066969,3100027,1844378,1052455,591831,591827,1052441,1844345,1837664,1837661,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8000445,8000444,8156562,8071805,8071804,8019553,8019554,11330103,16287421,17008119,11977767,8024936,7527471,7527472,8046761,5136843,5136844,8046765,8047940,5138196,5138197,8046752,5171098,5137020,5137021,8046999,11995216,11975811,8048083,8048084,11995998,11987284,11325975,7522441,4756552,2866918,2866919,4756556,7522446,11325981,11327436,7523537,4757176,4757178,7523547,7523552,7523553,7522915,4756837,2867066,1664030,946745,533862,533860,946736,1664014,2867034,4756780,5119848,3110230,3110229,5119845,8030626,11981989,16285746,11327387,7523502,4757158,4757159,5119045,5119044,8029944,11870736,16958635,12020998,254252418,7524076,7524075,11327837,7527783,4761103,2869886,2869885,4481520,4481519,7117848,10772638,15573478,11326851,11326852,16285294,16285791,11327455,11327453,16284566,11977828,8025019,7967337,7967336,11910914,16996510,23259411,28875928,28588272,254176202,16285144,16285143,267737566,8061769,7990557,5085898,5085900,7990562,7527033,4760381,4760380,7527029,11329981,254176226,16287688,15572550,10771734,10771732,15572547,254378888,7526192,11329375,10771763,7117208,4481138,2866965,1663983,1663981,2866959,4756635,7522572,11326164,11938603,7990036,5085504,3085021,1800854,1800856,3085030,5001215,7527864,7527862,10770902,15326913,15326912,11950441,11950442,17036306,15571599,15571600,16957442,11939534,11939533,12132769,8162890,5232719,5232720,7640360,11487188,11326806,7523043,7523042,11326802,16285229,22454168,29821520,27006854,20115728,20115727,15016582,10344698,6810550,4271605,4271606,6810551,10344699,15016583,20924167,28099832,36571082,46435699,57790842,258137369,29749143,255469521,7490003,4733575,2852193,1655040,942805,531750,298194,165141,90879,50053,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1909920,3252366,5301619,5301829,254265891,1090711,612389,340584,340586,609849,267740507,101847,101848,254088955,267755047,268250688,608239,1074971,1082983,1897343,1901275,3240470,5288890,6978479,4384460,2626333,2626331,1874314,1874315,1876013,1876014,2773308,1608571,1608570,1877869,1079551,1075548,604212,604213,1075561,1885246,3204470,3204406,2785467,1615686,1615689,2785479,1897227,1897229,3234348,2776568,1610694,916389,916391,1610700,2776579,4611570,7307557,7300244,254346585,914219,605651,337048,337049,605659,1078368,1889834,3224023,5242542,3201329,3201331,3267584,1920923,1097339,615984,615983,1097334,1920913,1922881,1098529,1070736,601682,601681,1070734,1876881,3205143,5247079,3205205,1891677,1891679,3226569,4792046,2888540,1676492,1676493,1082488,1082487,1896551,3231633,2888350,1676388,1676387,1882785,1882786,1882863,3214132,5258330,3659263,2189261,1270494,1270493,1270506,1270504,1612013,917106,917102,1611998,2778699,2843671,1649640,937984,937986,1649646,2843684,2889154,1676853,954025,537909,301555,301558,537887,953128,953123,1675207,2886377,4788658,7571822,8325899,255002057,6787599,4255231,2548410,1468045,1468046,2548417,4262612,6797833,10329487,10397270,9096103,9096104,13280494,13280496,10363860,6827149,6827148,10363861,10392778,10392779,12326887,12326885,13299831,16989596,255971957,24521264,32096430,40868208,48498930,48498929,38584895,33143273,33143272,42097520,47698432,38584972,30012754,28908771,21634411,21634409,20843732,14943906,14943908,20843739,23542359,28008638,22638485,16449783,11461436,11461439,16449793,17132219,22639938,16450849,11462043,7623953,7623814,7623815,10609182,10609183,15356515,16451206,16451059,11462170,11462168,16451054,22640341,30011819,38583941,48498815,59892891,71892553,59154988,47756330,47756331,258270677,50172436,50172435,61658511,258892927,84542948,70979527,61406171,49926610,39907147,31230562,31230561,39907146,47734252,37812087,29247426,21927232,21927233,29247427,37812089,47734254,50209550,50209551,59132853,47734255,47734256,59132854,71871042,84542949,74473717,61691019,50209164,40187130,31501966,31501965,40187129,256033806,36644853,28169444,24003796,17658769,17658504,12487497,8457972,254862373,12487501,17658869,24003933,21757631,21757632,29051929,37600060,47504047,257087498,53266847,50209460,42813902,42813901,40187441,40187440,42813570,33781069,33781070,31501992,24003500,17658516,17658515,24003497,31501988,31502368,31502367,33781082,25970801,25970802,28506438,37004698,29484825,22146516,16027565,16027564,22146513,29484818,38048310,38695481,38695482,48611095,60002382,72085223,255565138,64404986,52531701,50586939,50586940,62079198,268996054,256522094,50047925,50156409,50156408,255565146,28481694,28481695,36979036,46857664,50047926,50061898,40042404,31362198,23967681,254594130,8404642,8404641,8377262,8377261,12254629,8276263,8276262,12254623,15268143,12506866,11748568,7844066,4979148,4979149,5407582,8379330,12398998,17570900,14368949,14368948,12387939,12387940,17558750,23903146,23734520,23734521,23709207,254574444,12251461,17385810,23709217,20884854,20884853,23433622,17157886,17157885,23433621,30863201,23895407,17549489,17409436,12269092,8285224,5345039,3284934,3284933,1952812,1115716,1115715,1952808,3319680,3300674,3300676,5368899,8320325,12318025,17471880,23707756,29578540,22230926,16096383,16096382,22230923,29578537,38144737,48057902,46852632,39888760,31210381,23731286,23731287,25337597,255255175,13356824,18757885,23159176,17395279,17395280,17804043,17157911,17157910,23433635,21146171,15193330,10479602,10479601,15193327,21146166,21146396,21146397,28362070,36860335,44569488,35191358,27102434,21013471,15092274,10409043,6861433,4306160,4306159,6861430,10409038,10479681,10479680,15193457,15092250,10409030,6861426,6597213,6597214,10038753,14589215,20328702,27263137,28361997,28361998,36860251,36860258,28362005,28362006,36860260,36860318,28362061,28362060,36860203,36860204,38759560,38759559,36860237,255811317,17532180,17532178,23876916,31372129,23895072,255390500,12379033,17549180,256020175,40072250,31532722,24030614,24030613,31532720,40069727,31387175,23890558,17543804,12374529,12374528,17543802,255141448,31299769,39974223,49990264,256475334,74246277,87851010,84383795,70826148,58111018,58111019,70826149,60352913,48956309,39034204,30444799,23037280,16792924,16792925,23037287,29575769,29575768,38142497,30688011,23271760,17242476,12125108,8156337,8156339,12125117,12146967,12146955,8176790,254834777,9694631,6376199,4000611,2762398,1601404,1601406,2762406,4591421,7280320,10997921,14086025,14229033,9781681,6431218,6431220,7744130,7744132,11625894,8578191,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000669, s2 = 14021772, dlinesl.size( ) = 12 s1 = 2240161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2240161, s2 = 15909535, int(edited[s2]) = 0 s1 = 2240161, s2 = 15909535, d1 = 2, d2 = 0 Dl.O(d1) = 269778454,43036202,39407325,39407326,49336692,52690476,42303620,42303621,256653004,52690474,42303619,42303618,43036167,33979061,33979064,43036169,33979101,26139925,26139924,33979099,257251315,65538604,65538644,74187608,72734046,72366583,64032174,52194239,41866605,32934445,32934446,41866607,52194242,64032176,60172231,48777783,48777782,256877132,60433294,49029582,39100602,39100601,30504475,23090118,23090119,256460917,39852404,43863539,34592972,34592971,43863537,54606521,63730231,257457124,51423061,51423062,61355593,61355592,74136941,74381052,74381046,61604492,60433292,257556334,31171391,23683775,23683776,31171394,39852401,49874179,61355578,61604514,61604515,51423050,49029586,39100606,39100607,49029589,53535006,53535004,61604538,50124593,50124594,61604541,72909243,61355582,61355584,73180199,61604481,268278104,26154778,19455821,13923328,9556739,9556740,8392522,8392521,12416900,17591191,23933929,31424479,40104354,50124573,48059885,48059886,40104344,40104345,48074444,59465367,52691011,42304164,33323460 Dl.O(d2) = 29595148,38161605,48074405,48074404,59465327,72203185,85797421,99751410,257825014,137620362,257997306,109805347,95602963,81569404,68079553,55680825,44771926,35346672,27223616,27223615,30101608,30101607,29224198,21908436,15826986,15826985,21908434,22729208,23936445,18728199,18728198,20828291,20828289,19900625,19900626,14599505,10045801,6601554,6601550,10045794,14599489,13173540,13173538,14216634,19843989,21621286,15590863,10785397,255415397,256340591,37437435,47344602,58732387,71462114,270817039,112948029,126802008,140152258,152846260,154222571,259870036,114321523,100290910,100290909,86328554,258001144,114321522,128204771,141561258,154222569,165979407,176622702,179348214,176622700,176622701,169077176,157635066,145225792,131991821,118174537,104018301,89892636,76091209,63090358,51398206,51398207,41205431,32385192,32385191,41205429,51398205,63090357,63090375,51398234,41205466,32385226,256594619,51398232,50541269,50541270,62032864,74829313,88462807,102466620,104018292,104018291,89892626,259600279,88462798,88462796,102466611,116565699,130405578,119221476,105028392,90848674,90848675,105028394,105028388,90848671,90848670,104018334,118174554,118174556,112344015,98361705,98361706,84452233,70895679,58182052,46815162,36936828,36936829,46815165,58182058,64798531,52879313,42475587,33482217,25708760,25708761,22240396,16104517,11186321,11186320,16104515,22240392,29588592,38154938,33482239,25708784,19081747,268302421,33482241,36913541,29588577,29588578,29588585,22240388,22240387,29245659,37810230,257028334,34598978,43869240,46791154,48692556,41898192,34605272,26617458,19808279,19808278,26617457,29227798,37789800,47710768,51421428,41224548,38913376,38913377,41224279,38154671,38154672,48067468,59458489,48834269,38913379,32400439,32400438,41224344,32400454,32400455,41224356,50039914,40020330,31340947,31340948,35224951,35224950,44605795,41224443,41224444,46616404,256292081,21037082,15110368,15110370,21037084,28234629,32400217,24776727,24776728,30326420,22925299,22925265,22925263,30326375,256083713,24777261,22925272,22925271,30326393,269924742,72966515,86564875,100526221,114557005,128441309,141795023,154442452,166178235,156249776,143722930,130396898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2240161, s2 = 15909535, dlinesl.size( ) = 2 s1 = 2240161, s2 = 15909535, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 2240161, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11000779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000779, s2 = 12061, int(edited[s2]) = 0 s1 = 11000779, s2 = 12061, d1 = 9, d2 = 5 Dl.O(d1) = 6083032,254302149,254147995,241938,133807,73090,73091,73401 Dl.O(d2) = 152363,152359,152397,152394,275858,414964,254145549,2194246,1322224,1322223,2279844,3805957,3666057,2194239,2194237,3666050,5871369,8993080,9286782,8993110,8993108,13180544,18550553,255912118,31274391,23788782,17457667,12307093,8312703,8312704,12307094,17457668,256844896,4730057,7484925,11079138,11057273,7331917,4631732,2790290,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,11070467,11071128,11080353,9204120,6025900,254651373,13459189,267972219,254762517,15943830,257909707,42034931,33087444,25354829,257190489,257292832,30288080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000779, s2 = 12061, dlinesl.size( ) = 10 s1 = 11000827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000827, s2 = 12069477, int(edited[s2]) = 0 s1 = 11000827, s2 = 12069477, d1 = 3, d2 = 4 Dl.O(d1) = 9300097,9311218,6099441,3816359,3816362,6099458,9311262,254940778,254454314,13459686,9204435,9204437 Dl.O(d2) = 9346318,9346317,9204426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 12069478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12069478, s2 = 11000828, int(edited[s2]) = 0 s1 = 12069478, s2 = 11000828, d1 = 1, d2 = 9 Dl.O(d1) = 6162896,7754984,4911352,4911353,6162896,7754984,4911352,4911353,3856163,2310319 Dl.O(d2) = 2310318,254454315,254940779,9420387,6172461,3862260,2313660,2313658,3862171,3862016 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13231663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13231663, s2 = 7105037, int(edited[s2]) = 0 s1 = 13231663, s2 = 7105037, d1 = 39, d2 = 32 Dl.O(d1) = 3816919,3816918,6100317,9312598,254308704,6103153,254459314,6101696,254448351,3800065,6073344,254928981,6073025,3799867,254448329,3831186,3831185,6123408,9348773,13550366,9346419,6121853,6121854,254660320,9346412,6121847,6121846,9346393,6121834,6121833,9346391,13649056,19117019,25755206,25755221,19117031,19117033,256150441,255684507,9346402,6121841,6121842,9306119,6095926,6095927,9306122,255273999,19008095,19008094,25622603,19117060,19117059,25755246,256667421,42417694,33427048,25658753,25658752,33427055,270599626,53001423,42561409,33545010,33545009,42417715,42417714,33543805,25755226,19117038,13649076,13649075,255684509,33543820,33543818,25755239,256150443,42560183,42560180,42560181,52819155,52819153,42560207,257224429,64975458,258437384,52869172,42465389,42465388,52869171,53075661,42628097,42628098,53075664,64787918,64787919,65058048,53075658,52869196,42628103,33603386,25805857,25805858,33603389,42465355,42628072,42628071,53075644,52869126,256663181,25699258,25699257,268502413,255281721,13680727,19158775,25805843,33603374,42628090,53075656,65058046,70472481,57773046,46419238,36556017,28086870,20913595,20913596,28086872,36556022,46419239,57773048,64787915,64787965,53075666,42628105,42628100,42628099,42628074,33603358,25805826,19158766,19158765 Dl.O(d2) = 260059425,261234371,154735172,262767127,186390055,194548181,264535289,201536401,194548165,263940105,194548181,194548167,263489246,262645534,262292335,263199383,186390034,263088792,142097502,261089932,272236689,260101264,128452200,258239190,256500830,48852018,38932501,38932502,38843324,30259490,26001891,19329202,13822135,9479490,6215826,6215825,9479487,13822129,256165875,42860362,53322580,60156755,48762971,38843352,37509120,37509119,31050121,31050122,39728966,49748004,61227217,74007956,257834072,271085826,167434730,262018586,262969836,263509341,273105623,152850261,140156154,126805847,126805846,261248819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13231663, s2 = 7105037, dlinesl.size( ) = 8 s1 = 11001073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001073, s2 = 11100758, int(edited[s2]) = 0 s1 = 11001073, s2 = 11100758, d1 = 0, d2 = 4 Dl.O(d1) = 9370850 Dl.O(d2) = 19162624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001073, s2 = 11100758, dlinesl.size( ) = 8 s1 = 13452625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15192738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15192738, s2 = 760840, int(edited[s2]) = 0 s1 = 15192738, s2 = 760840, d1 = 23, d2 = 8 Dl.O(d1) = 60770265,60770266,55689210,44781481,256020330,35357277,27234587,27234586,33013415,25288440,18715516,13322208,9102146,9102145,13322203,18715505,25288422,33013387,32182481,32182482,40961600,41509919,32626317,24958463,18441118,18441119,24958467,32626322,33881784,35357587,35357588,44781683,36583611,36583610,32765780,32765781,27234684,20305175,14571836,14571837,20305180,27234693,35357447,33218418,25471775,18871491,13447628,9195989,9195987,13447636,18871507,25471805,33218451,42177005,52534582,46837130,46837131,48697147,41681631,32765727,32765729,37899523,29330962,27234625,27234624,35357340,44781412,55399860,55399861,47821473,47821475,256083576,44781627,41681672,32765763,32765762,26422876 Dl.O(d2) = 19351526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15192738, s2 = 760840, dlinesl.size( ) = 8 s1 = 11001543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001543, s2 = 12829135, int(edited[s2]) = 0 s1 = 11001543, s2 = 12829135, d1 = 28, d2 = 2 Dl.O(d1) = 255292961,26036247,33857557,257244503,65371985,260328725 Dl.O(d2) = 134813850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001543, s2 = 12829135, dlinesl.size( ) = 24 s1 = 11001599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001599, s2 = 14113146, int(edited[s2]) = 0 s1 = 11001599, s2 = 14113146, d1 = 10, d2 = 12 Dl.O(d1) = 2318580,2341497,2341316,2341319,2342378,2342380,3912525,6249528,268278362,53459207,65479732 Dl.O(d2) = 53459206,53459207,65479733,258343500,258968896,261500743,260807940,107321070,262035269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001599, s2 = 14113146, dlinesl.size( ) = 8 s1 = 14491024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11001767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001767, s2 = 11120888, int(edited[s2]) = 0 s1 = 11001767, s2 = 11120888, d1 = 8, d2 = 13 Dl.O(d1) = 254952315,19514471,20866146,28033959 Dl.O(d2) = 57703756,258034428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001767, s2 = 11120888, dlinesl.size( ) = 14 s1 = 11001819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001819, s2 = 10423516, int(edited[s2]) = 0 s1 = 11001819, s2 = 10423516, d1 = 5, d2 = 9 Dl.O(d1) = 6305571,6305570,9601971,13980007,19527087,26244437,33114381,256074832 Dl.O(d2) = 258960568,180738081,189632658,189632667,180738092,180738087,170609451,159274653,146904198,133651019,133651018,146904196,146904201,258960572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001819, s2 = 10423516, dlinesl.size( ) = 12 s1 = 11001867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001867, s2 = 11241764, int(edited[s2]) = 0 s1 = 11001867, s2 = 11241764, d1 = 0, d2 = 9 Dl.O(d1) = 9625556 Dl.O(d2) = 256701593,257261337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001867, s2 = 11241764, dlinesl.size( ) = 8 s1 = 11002031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11002095, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13209956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13209956, s2 = 7823276, int(edited[s2]) = 0 s1 = 13209956, s2 = 7823276, d1 = 52, d2 = 60 Dl.O(d1) = 25849415,255265794,16629113,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,2408555,1393738,1393737,254212671 Dl.O(d2) = 2370439,1372234,1372235,2370441,3958123,254094842,13994732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13209956, s2 = 7823276, dlinesl.size( ) = 14 s1 = 1714085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1714085, s2 = 7541516, int(edited[s2]) = 0 s1 = 1714085, s2 = 7541516, d1 = 208, d2 = 195 Dl.O(d1) = 43910204,41046251,32253064,24653746,18195819,12906071,8779400,8779401,12906075,18195825,24653756,32253076,41046270,51202433,54652971,51202425,41046255,32253067,29476537,22139644,22139645,29434836,37273091,32253098,24653790,24653789,24653821,18195857,12906091,254628187,3559608,3559609,5717979,8779415,12906110,15412867,21399063,28639511,37155243,47046055,268043122,21403001,15415947,10656268,10656269,15415953,21403009,24653785,24653739,24653740,32253048,29434875,24342855,24342856,31865269,24653772,18195832 Dl.O(d2) = 267634471 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11002339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10397937, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14870810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11002495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11002495, s2 = 14063780, int(edited[s2]) = 0 s1 = 11002495, s2 = 14063780, d1 = 3, d2 = 11 Dl.O(d1) = 6534192,6534194,9941706,14450600,20145169,24928799,28299905,36797207,41192086,41192088,38112089,29549288,29549287,33310483,25548997,25548998,33310489,32384990,24764498,18287224,12979869,8835611,8835610,12979867,18287218,24764485,32384968,41205240,38532531,38532530,36842122,36842123,46725052,37270072,37270071,47175980,269770774,113353770,261071314 Dl.O(d2) = 99352046,258718699,59079044,258851358,51138546,40992403,32209045,32209044,40992401,269319692,256704568,65908674,77408439,77408437,65889922,53822201,52403399,52403400,64258781,77408458,84087530,97961448,84669583,71106302,58389559,58389560,52403436,42059517,42059514,52403427,64258843,77408553,88432500,86143827,72545516,72545517,86143831,97961419,85869082,85869081,99821866,98509355,84584151,84584150,98509352,259106512,270290922,77408412,77408413,91326861,103256912,257264594,98509360,84584153,84584152,98509356,259106556,25486729,25486728,25061950,25061949,269292582,255678256,9280880,6079448,3804034,2278657,2278658,3804043,6079463,9280908,6095217,3813464,3813465,6095197,8220924,8220925,12190768,17268550,13568271,13568269,9289848,9289850,13568415,13566895,13566900,12654560,8591688,8591691,11308653,7508038,4745916,2860189,2860188,4745915,255093663,22432966,256409625,48282861,59670334,255784898,35302977,35302976,44722410,55621272,47682688,255251134,25496164,18891111,13462394,13462396,11517199,11517198,16525361,22730626,20809863,14914228,10255119,6738660,254439462,13658488,13658487,19129241,25769048,25729589,25729588,260893781,259635646,269821406,256965672,24761374,24761375,255678413,13591023,13591022,19039629,19155204,13678134,13592816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11002495, s2 = 14063780, dlinesl.size( ) = 2 s1 = 11002495, s2 = 14063780, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11002495, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 14063779, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11002537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11002537, s2 = 14890860, int(edited[s2]) = 0 s1 = 11002537, s2 = 14890860, d1 = 3, d2 = 11 Dl.O(d1) = 9955410,14469484,20167929,27061806,27991477,20827123,14928693,10265656,6745584,4226755,2527296,1456543,824677,465729,465727,824722,1456604,1492946,1492945,1495523,1495525,2592954,4332752,2598392,2598390,4340192,6903550,4335838,4333199,2593326,1495772,1495773,2593334,2980719,2980718,4939605,4672868,2980768,2980766,4939681,6904799,4336850,4329260,2595692,2595694,3477045,2063109,2063108,3477041,254327516,12685929,267886784 Dl.O(d2) = 254751548,10930145,15778835,15778834,15778833,21849466,29157870,37717814,37742999,29182133,29182134,37743001,47639353,37717060,29156590,21871277,18401345,14050075,9661506,6353325,6353324,9661503,14050582,19608449,26336815,255864930,255864928,21871342,21871343,15797372,15797373,14050174,9661254,6353195,6353194,9661249,13070462,8906660,8906662,13070466,18401456,22064604,22064603,24905313,24242599,24242600,254613170,254281082,22662414,16467956,11474069,7631868,7631867,11474062,16467944,17362097,17362094,17728124,17728123,24085462,25327058,24167968,17800342,12600429,12600430,17800344,24078924,24078923,17800349,17800348,18864400,16608106,16608104,22829144,24098472,17739675,12551792,12551791,17739672,17745274,17745275,17720629,12536902,8498541,8498544,12536914,16579538,12561238,8516627,8516629,8549712,12598657,16894769,17449470,12300525,8511207,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,5339347,3281947,1930330,1930329,3281943,5339367,254268864,17387572,17726737,12625657,8571604,8571605,12625660,16894992,23156302,30573671,24105140,17746602,17746603,24105143,31607313,31594182,31594183,32557640,40273717,31586975,24081432,24081431,28338864,31645536,24138528,17774244,17774245,24138531,30218768,30218767,28044400,28044401,30856511,30856510,29663115,24166535,24166531,31675897,26892846,26892847,31601303,40286340,38089332,38089331,34319904,255721195,14127261,9719209,9719207,14127256,16056337,18833012,267790356,9174397,13418202,18833016,14454514,14454513,10890283,10890287,10897885,10897880,10435926,7208485,7208483,10899205,10899187,10436311,6880043,6880044,10436315,15131426,15131444,20310232,15737836,15737834,17373600,17310115,12186121,12186119,15130880,10436008,6879891,4318576,4318577,6879896,10436010,15130882,21064836,23739412,17414895,12273774,8288600,8288601,12273778,17414899,21509605,23692433,17369888,17369889,23692436,21509608,21509607,23886401,23886402,31383082,23886392,23886391,28509711,21289880,15324550,15324551,21289652,21289654,22033456,29364087,37930656,256332354,23637215,23637216,31123007,37008197,28509461,21289497,21289498,15324330,15324329,21289580,28509569,36772340,36772339,31809089,31809090,37008265,31809087,24294038,24294039,21289743,15324457,15324456,21289741,28509731,255970479,16951637,11864171,11864172,255524231,16951542,17335346,12209715,12209714,12622043,12622045,17826564,255550976,268675584,50428933,50428932,61918890,58645738,47252899,258691925,61234953,49755977,49755978,255843400,49326106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11002537, s2 = 14890860, dlinesl.size( ) = 14 s1 = 13553833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15088223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15088223, s2 = 13553834, int(edited[s2]) = 0 s1 = 15088223, s2 = 13553834, d1 = 1, d2 = 1 Dl.O(d1) = 256754102,38157712,38157711,48070255,48070254,258120183,48009530,38098015,29533948,22190868,22190869,29533950,29575414,29575415,38142137,40460390,31765866,31765867,30745464,30745463,29575493,29427807,29427808,37989269,256317720,29748220,255827812,258137315,257320012,38157686,38157687,256228624,59397754,59397753,254981668,85792148 Dl.O(d2) = 256754102,38157712,38157711,48070255,48070254,258120183,48009530,38098015,29533948,22190868,22190869,29533950,29575414,29575415,38142137,40460390,31765866,31765867,30745464,30745463,29575493,29427807,29427808,37989269,256317720,29748220,255827812,258137315,257320012,38157686,38157687,256228624,59397754,59397753,254981668,85792148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15088223, s2 = 13553834, dlinesl.size( ) = 2 s1 = 15088223, s2 = 13553834, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15088223, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13211102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13211344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13211344, s2 = 2053356, int(edited[s2]) = 0 s1 = 13211344, s2 = 2053356, d1 = 41, d2 = 45 Dl.O(d1) = 51612230,41386136,32535590,24891512,18391282,13063363,8901699,5808696,5808697,8901701,13063368,16922090,18391466,13063487,13063485,18391465,24891752,24889629,23386185,17114763,12027059,8085833,5180782,3161070,1850547,1056154,593869,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160049,18390748,13687791,9373884,9373881,13687781,12751061,12751060,17990178,24390051,31922906,40638698,49347413,48176371,48176370,50697728,40638571,40638572,50697730,53145878,256726624,30816943,30816942,26418340,22221838,16089255,16089256,22221840,29568267 Dl.O(d2) = 43006399,53483912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13211344, s2 = 2053356, dlinesl.size( ) = 16 s1 = 11003011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003011, s2 = 11205902, int(edited[s2]) = 0 s1 = 11003011, s2 = 11205902, d1 = 19, d2 = 7 Dl.O(d1) = 6775108,6775107 Dl.O(d2) = 28040995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003011, s2 = 11205902, dlinesl.size( ) = 20 s1 = 11003133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003133, s2 = 11372040, int(edited[s2]) = 0 s1 = 11003133, s2 = 11372040, d1 = 14, d2 = 18 Dl.O(d1) = 255366279,28088933 Dl.O(d2) = 258006397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003133, s2 = 11372040, dlinesl.size( ) = 26 s1 = 11003295, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14035571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14487716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11003379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003379, s2 = 14005240, int(edited[s2]) = 0 s1 = 11003379, s2 = 14005240, d1 = 1, d2 = 1 Dl.O(d1) = 11779538,15114677,21042398,16849159,11783219,11783124,11783125,11785580,11783072,7867332,7867333,8300180,6873589,4314831,2580498,2580501,3017166,1753229,997426,997425,1753224,3017152,4993930,7867391,10728963,10425503,10425502,10425644,11784482,13072228,8907836,8907839,13072236,16927723,15069474,10392826,10392827,15069475,20981558,15114069,10425296,6873500,6873501,10425298,12936278,12936279,11847381,7918297,7918296,11847375,16852364,16852363,23110962,30528970,39127350,49057403,60461107,73208056,258202776,100802187,114853702 Dl.O(d2) = 11779538,15114677,21042398,16849159,11783219,11783124,11783125,11785580,11783072,7867332,7867333,8300180,6873589,4314831,2580498,2580501,3017166,1753229,997426,997425,1753224,3017152,4993930,7867391,10728963,10425503,10425502,10425644,11784482,13072228,8907836,8907839,13072236,16927723,15069474,10392826,10392827,15069475,20981558,15114069,10425296,6873500,6873501,10425298,12936278,12936279,11847381,7918297,7918296,11847375,16852364,16852363,23110962,30528970,39127350,49057403,60461107,73208056,258202776,100802187,114853702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003379, s2 = 14005240, dlinesl.size( ) = 2 s1 = 11003379, s2 = 14005240, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11003379, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 14005239, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11003427, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11003477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13212872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13212872, s2 = 16176692, int(edited[s2]) = 0 s1 = 13212872, s2 = 16176692, d1 = 11, d2 = 13 Dl.O(d1) = 15215791,10502158,6925061,4350408,4350409,6925068,10502168,10496356,7139584,7139586,10804823,15616178,12627960,12627959,10502519,6925268,6925269,10502521,10502626,10502627,15225859,21187441,15225066,15225067,15221079,15221078,21182189,21180294,21180295,15222875,254776200,255019965,6921018,6921017,10495687 Dl.O(d2) = 42205205,52565683,64440994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13212872, s2 = 16176692, dlinesl.size( ) = 20 s1 = 16176691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16176691, s2 = 13212871, int(edited[s2]) = 0 s1 = 16176691, s2 = 13212871, d1 = 7, d2 = 7 Dl.O(d1) = 44605130,35224273,255666934,14513270,15162680,10456695,10456694,14038938,19593569,26319162,34191065,38284590,29718013,22361927,255019964,254776201,7479243,11266687,16207583,11267596,7479762,4727080,2848071,2848070,4727078,7479759,11267592,16209017,22362210,29714180,22358450,16206169,11265729,11265730,16206174,13539649,9268643,6071028,3798467,2275137,1319331,1319333,2275145,3798481,6071054,9268729 Dl.O(d2) = 44605130,35224273,255666934,14513270,15162680,10456695,10456694,14038938,19593569,26319162,34191065,38284590,29718013,22361927,255019964,254776201,7479243,11266687,16207583,11267596,7479762,4727080,2848071,2848070,4727078,7479759,11267592,16209017,22362210,29714180,22358450,16206169,11265729,11265730,16206174,13539649,9268643,6071028,3798467,2275137,1319331,1319333,2275145,3798481,6071054,9268729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16176691, s2 = 13212871, dlinesl.size( ) = 2 s1 = 16176691, s2 = 13212871, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 16176691, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11003657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10828091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11003885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003885, s2 = 11066994, int(edited[s2]) = 0 s1 = 11003885, s2 = 11066994, d1 = 10, d2 = 12 Dl.O(d1) = 7004949,7004950,10615138,15363890,17605659,17605660,17605993,12427468,12427469,8399404,8399403,12427471,12427310,8399310,8399311,12427312,17605720,23951482,31442921,34076933,256691104,1365809,777964,777961,1365808,2358865,2324706,2324707,1347693,1347692,2324720,3520235,3520248,3520247,2296871,2296875,3833622 Dl.O(d2) = 254738301,15524288,19132822,25772940,28125566,256422975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003885, s2 = 11066994, dlinesl.size( ) = 14 s1 = 11003983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003983, s2 = 14018854, int(edited[s2]) = 0 s1 = 11003983, s2 = 14018854, d1 = 10, d2 = 11 Dl.O(d1) = 7014724 Dl.O(d2) = 10618124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003983, s2 = 14018854, dlinesl.size( ) = 2 s1 = 11003983, s2 = 14018854, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11003983, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 11004087, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11004297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004297, s2 = 11033850, int(edited[s2]) = 0 s1 = 11004297, s2 = 11033850, d1 = 19, d2 = 11 Dl.O(d1) = 7053605,254500006 Dl.O(d2) = 28691346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004297, s2 = 11033850, dlinesl.size( ) = 8 s1 = 14183461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14183461, s2 = 6954780, int(edited[s2]) = 0 s1 = 14183461, s2 = 6954780, d1 = 62, d2 = 42 Dl.O(d1) = 5423356,8404619,12435612,12403616,8382681,8382682,8366950,7901825,5022882,5022885,7901832,11823958,16896203,17576361,12404468,12404467,17576359,23892040,23914588,17617059,12435083,8404221,5423077,5423078,5423552,8303962,8303963,12294762,17441453,12294731,12294728,17441450,17441382,12294660,8303910,8303911,12294665,8368323,5400891,3320731,3320730,5400885,8368309,12383871,17546586,16195218,11257864,11257863,11618462,12376903,11618187,8274220,5338887,5338888,8274224,12251345,12692094,8622118,8622117,12667144,12667149,8621702,8621706,11618684,7737567,7737568,11618689,8364001,5398416,3319442,1952707,1952705,3319433,5398397,8363973,11619041,16651495,22879853,30276894,31194854,23706163,17383226,17383227,23706164,29190325,23892481,23892480,23721375,17397514,17397513,23721374,31207899 Dl.O(d2) = 260574568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14183461, s2 = 6954780, dlinesl.size( ) = 22 s1 = 11004461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004461, s2 = 11119684, int(edited[s2]) = 0 s1 = 11004461, s2 = 11119684, d1 = 6, d2 = 21 Dl.O(d1) = 10719211 Dl.O(d2) = 255957270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004461, s2 = 11119684, dlinesl.size( ) = 20 s1 = 11004617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004617, s2 = 11011896, int(edited[s2]) = 0 s1 = 11004617, s2 = 11011896, d1 = 44, d2 = 7 Dl.O(d1) = 7106086,7106087,10755902,15551569,21574786,28846668 Dl.O(d2) = 12409294 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004659, s2 = 12240666, int(edited[s2]) = 0 s1 = 11004659, s2 = 12240666, d1 = 10, d2 = 8 Dl.O(d1) = 7501553,4741856,4741859,7501564,10773559,7118494,4481994,2692996,1560158,887030,887029,1560153,2692985,4481977,7118469,10773465,10773464,15574538,21602099,28877333,28877471,28877397,21602198,15574633,10773550,7118484,7118485,10773552,15574639,21602207,28877405,22333386,16186461,16186460,22333384,29685415,28877384,28877383,23043759,23043760,23043763,23043762,23039644,16794898,11743281,7840544,4977680,3006944,3006945,4977686,7841624,7841529,4977615,4977614,7841527,11745082,16797976,20851072,14950672,14950671,16795220,11743374,7840551,4977080,3006577,3006576,4977079,254808285,7840421,254354588,4302645,254124390,1481207,2572545,4302643,6855916,10400422,15078569,20992260,28173328,36648851,30332161,30332162,36942917,28443328,28443330,36942919,38442902,38442415,38442416,37436575,28895706,21620116,21620117,28895707,24540357,20992228,15078551,10400416,10400417,15078556,20992237,28173297,24271182,17891870,12673362,8606612,8606611,12673359,17891864,21292947,21292948,21217338,15248779,10519697,10519698,15248781,21217343,16867585,11799119,11799118,16867583,23127496,23128545,16868304,16868303,23128541,22531806,22530811,16358205,16358207,16359042,16358719,11384250,7563371,7563370,11384247,16358714,16358747,11384267,11384268,11384330,11799330,16359434,13462577,11384082,7880242,5003952,5003951,7880236,11799093,13462628,18891437 Dl.O(d2) = 256413439,48345424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004659, s2 = 12240666, dlinesl.size( ) = 14 s1 = 16373225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13167841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11005009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005009, s2 = 11051340, int(edited[s2]) = 0 s1 = 11005009, s2 = 11051340, d1 = 54, d2 = 2 Dl.O(d1) = 268012557,3562172,2122739,2122737,3562162,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580246,7262634,7373569,4658200,2806358,1628048,1628049,2806365,4658213,7373588,11117277,11117428,7373671,4658250,4658247 Dl.O(d2) = 7264660,7264665,7264616,7264590,7264589,10975649,15838610,21924514,29244116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005009, s2 = 11051340, dlinesl.size( ) = 30 s1 = 11005055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005055, s2 = 11275588, int(edited[s2]) = 0 s1 = 11005055, s2 = 11275588, d1 = 3, d2 = 8 Dl.O(d1) = 255865521,37713642 Dl.O(d2) = 258091223,85369542,271790515,113317946,113317945,113317950,99314389,270310623,71780108,85369540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005055, s2 = 11275588, dlinesl.size( ) = 2 s1 = 11005055, s2 = 11275588, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11005055, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 11005101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005101, s2 = 11431712, int(edited[s2]) = 0 s1 = 11005101, s2 = 11431712, d1 = 13, d2 = 17 Dl.O(d1) = 255867095 Dl.O(d2) = 59056883,71797623,261139075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005101, s2 = 11431712, dlinesl.size( ) = 18 s1 = 11005219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005219, s2 = 11421948, int(edited[s2]) = 0 s1 = 11005219, s2 = 11421948, d1 = 0, d2 = 7 Dl.O(d1) = 10970651 Dl.O(d2) = 258097875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005219, s2 = 11421948, dlinesl.size( ) = 2 s1 = 11005219, s2 = 11421948, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11005219, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11005607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005607, s2 = 11102386, int(edited[s2]) = 0 s1 = 11005607, s2 = 11102386, d1 = 22, d2 = 3 Dl.O(d1) = 7360865,4649613,4649612,7360864,11099439,15988743,22097475,29428701,37990694,29979866,29979867,29428639,22182362,22182361,29524731,29428734,29428733,37990625,255450680,15988708,11099413,11099414,11099423,7360856,4649610,2800701,1624630,1624629,2800699,4649607,7360853,11099416,15988711,11099434,7360862,254235084,2800702,254523253,11099429,15988729,22097458,256381229 Dl.O(d2) = 65325027,65325028,61931093,50440668,40406730,31714683,24207110,24207109,31714681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005607, s2 = 11102386, dlinesl.size( ) = 14 s1 = 11005619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005619, s2 = 11147006, int(edited[s2]) = 0 s1 = 11005619, s2 = 11147006, d1 = 25, d2 = 10 Dl.O(d1) = 255074509,255886039,270317010 Dl.O(d2) = 258739498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005619, s2 = 11147006, dlinesl.size( ) = 14 s1 = 15927589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11005857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14275951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11005959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11804416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11006059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006059, s2 = 11357488, int(edited[s2]) = 0 s1 = 11006059, s2 = 11357488, d1 = 16, d2 = 7 Dl.O(d1) = 254354979,939963,939962,1652610,2848357,4727574,255090081,22364970,29721159,38287570,48196595,59582983,59441396,48049547,38136009,29569748,29569749,38136011,38287126,29720729,256403645 Dl.O(d2) = 85910606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006059, s2 = 11357488, dlinesl.size( ) = 20 s1 = 13217860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13217860, s2 = 13556394, int(edited[s2]) = 0 s1 = 13217860, s2 = 13556394, d1 = 33, d2 = 20 Dl.O(d1) = 2686163,1556035,884696,499201,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556466,7558160,4779312,2880197,2880198,4776637,4776638,7103194,4472158,4472157,7103189,10748990,10748991,7554551,4777205,2879125,1670894,1670895,2879131,4777217,7553769,4778562,2879786,1671209,950824,950825,1671216,1671302,1671303,950885,950883,1671331,2880012,2880709,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,16343980,15546617,10752737,7103968,5258305,5258304,7102701,8188740,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,2880422,1671526,1671528,2880437,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555404,8197867,8206316,7555424,7555423,11369418,11369420,12138718,12138720,10751309,10751310,15545256,16230025,22388970,17587742,17587743,22514030,16340389 Dl.O(d2) = 270335742,86274248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13217860, s2 = 13556394, dlinesl.size( ) = 2 s1 = 13217860, s2 = 13556394, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13217860, Dl.E( ) = 34, 1.22e-05 seconds used appending s1 = 11006537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006537, s2 = 11125366, int(edited[s2]) = 0 s1 = 11006537, s2 = 11125366, d1 = 5, d2 = 7 Dl.O(d1) = 11461349,16449630,18234787,12934167,8799081,8799082,9986550,6563727,6563729,9986556,14513203,11572004,11572003 Dl.O(d2) = 22810064,22810065,30200946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006537, s2 = 11125366, dlinesl.size( ) = 2 s1 = 11006537, s2 = 11125366, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11006537, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11006695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006695, s2 = 16292389, int(edited[s2]) = 0 s1 = 11006695, s2 = 16292389, d1 = 13, d2 = 16 Dl.O(d1) = 11511742,16518180,22723344 Dl.O(d2) = 257555561,48598012,48598011,48598014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006695, s2 = 16292389, dlinesl.size( ) = 18 s1 = 11006851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006851, s2 = 11504816, int(edited[s2]) = 0 s1 = 11006851, s2 = 11504816, d1 = 0, d2 = 14 Dl.O(d1) = 11571685,16592169 Dl.O(d2) = 100388847,86433452,72839006,60102382,60102381,72839003,86433447,100388839,114411902,128288010,141638474,262273489,166045235,154293572,141638481,128288015,261213727,128287993,114411893,114411892,260637491,261213729,128288018,141638471,141638472,262273487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006851, s2 = 11504816, dlinesl.size( ) = 8 s1 = 13293895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13227951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13227951, s2 = 13293896, int(edited[s2]) = 0 s1 = 13227951, s2 = 13293896, d1 = 3, d2 = 0 Dl.O(d1) = 256385,141971,254073631,42401,77787,141967,256384,454729,454727,802610,1272553,795884,795882,1398523,2415995,4024911,3758148,2251208,1306329,795940,741873,741874,1300223,1398599,795935,795934,454775,256278,256277,454772,802673,1411034,2412267,2194827,1274983,729238,729237,1274980,2194825,3661016,5864079,3666504,2194613,1274793,729116,415145,234598,234599,415147,729121,1274801,1273900,728346,455023,256414,256416,413339,726726,726717,726718,726545,455011,455010,729437,415369,415370,726293,726295,728516,728517,812851,741895,741896,743505,726752,726753,729491,415406,415339,234727,254093195,729376,1271421,793699,449504,449503,729484,1271574,726584,449949,449948,748018,792105,448528,448529,748112,793752,728900,728899,796123,1398756,1396400,794460,450135,254116043,144061,144060,239368,239367,141272,77392,77393,72472,39346,39347,72477,78078,142389,145021,143923,143922,132324,132323,239350,424048,259841,144184,79347,43437,43436,79345,43702,43701,79777,145029,261617,253886,253887,145000,79762,79761,144999,254320603,254702835,9490453,9490459,6223961,3896281,254209415,771345,438231,247289,247287 Dl.O(d2) = 438215,771078,1351439,1351440,2331926,2332163,3894825,6221330,6221854,6221855,6223707,6223708,9490106,13835711,19345414,19345416,18319788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13227951, s2 = 13293896, dlinesl.size( ) = 2 s1 = 13227951, s2 = 13293896, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13227951, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11006905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006905, s2 = 10981450, int(edited[s2]) = 0 s1 = 11006905, s2 = 10981450, d1 = 11, d2 = 13 Dl.O(d1) = 255498491 Dl.O(d2) = 256552318,9348597,13652212,19121298,24263963,17885705,12668608,8603278,8603282,12668597,17885674,24263923,18500664,15170651,15170650,21116968,28326911,36822426,267822030,254155868,14958464,10291580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006905, s2 = 10981450, dlinesl.size( ) = 14 s1 = 15171062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15171062, s2 = 8032399, int(edited[s2]) = 0 s1 = 15171062, s2 = 8032399, d1 = 46, d2 = 51 Dl.O(d1) = 7507108,7507107,11307094,16262900,16624748,11596312,7719376 Dl.O(d2) = 16181316,22327097,22327309,17050413,11961372,8007130,8007132,11961381,17050434,17051973,17051974,22143241,22143242,29480532,22142896,16024917,11126471,7379995,7379998,11126481,16024941,22142937,29480578,38043492,38043493,29481019,29481016,29480707,29480708,23312833,23312832,22653032,22653030,30026237,37909522,29340522,22008822,15907507,11028881,7303266,7303269,11028888,15907516,22008847,22327330,25461874,25461878,18861667,13438555,13438553,18861662,22143213,16025117,11126571,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563,26019567,30728233,23310256,23310255,30728228,25462151,18861816,18861812,25462141,268435316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15171062, s2 = 8032399, dlinesl.size( ) = 2 s1 = 15171062, s2 = 8032399, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15171062, Dl.E( ) = 66, 1.79e-05 seconds used appending s1 = 11006949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007239, s2 = 14852578, int(edited[s2]) = 0 s1 = 11007239, s2 = 14852578, d1 = 6, d2 = 6 Dl.O(d1) = 339059,186187,186188,339063,609393,609420,1085171,1901096,1901103,1901719,1901717,1901016,1085121,1085120,1901011,3240077,5245474,8170900,5276390,3230600,1894608,1081339,1081340,1894612,3230605,3200868,3200867,5242000,5296064,3247059,1906033,1906032,3247054,3262341,3262342,5264486,3219526,1886587,1076391,1076392,1886594,3219538,3251637,1909425,1090305,1090306,1903426,1903427,1908690,1887374,1887372,1890194,1078571,1078569,1890187,1921792,1097870,1097871,1885567,1085657,609635,339164,339166,609640,1085669,1088156,254134043,341930,341929,615050,1095585,1918069,3229203,1893625,1080731,606982,337742,337740,606980,1080725,1893619,254263629,1889449,1896425,3233191,1897214,1897215,3201256,3201258,3216219,3216221,5238963,5277401,5248888,3206584,1877831,1071298,1071297,1075543,604212,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1617395,1617393,2786600,2786601,1893533,1080674,1080675,1893538,3229074,5274865,5269387,3224066,1898504,1083639,1083638,1898502,3236250,5283207,5253590,3210328,1880253,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,11038287,7312743,7312744,5224968,5224970,7318526,7318525,11043839,8151038,7307015,7307017,7307039,10799796,10799799,8152273,8152272,11720657,7822796,4964715,4611284,4611287,4617373,4968421,4968420,7827355,8147669,254389103,3184039,5219629,7317286,11042741,11039506,7313886,4616766,2780055,2780054,4616762,7313882,11039500,8154155,5225025,3187445,1865222,1865221,1741926,254248227,3000015,3000016,254370909,7826166,11721688,7826489,7824287,4966005,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925180,925181,1627013,254273587,5464131,8456605,11720375,254781658,2998502,1741473,1741477,2998509,4964521,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958012,2998793,4965024,5308654,4963837,2998024,254370657,2997606,267898155,5296601,254777517,7491383,4734944,3245051,3245052,254584197,5308327,5297318,5297317,5462023,5462024,7325307,7325308,8196050,254392752,254182735,1088875,1907144,3221442,5266630,5309859,3260345,3260342,5310270,4958005,2993386,1738154,987727,987725,1083007,1083008,1897389,3234558,5279261,5279262,3239987,3239986,5288319,7301935,5263055,5263054,3241841,3214947,1897357,1897356,3231711,4961794,4961795,4628896,2788457,1617780,1617778,2788441,4628890,3208833,1879298,1879300,3208838,2995885,1893486,1080647,606951,606952,1080652,1880794,1880796,3208551,1879111,1074956,1074955,1884232,1898762,1898763,1878927,1878925,3196617,3196616,3210260,3205356,1877025,1070825,601718,601717,1070771,601732,335286,184369,100976,55669,55667,100968,184342,335226,601930,1071180,1877437,1877438,3205943,5204396,8123445,11051925,254789686,18451014,13107013,8932988,8932986,8932985,13107009,18451004,18451044,13107034,8933002,5830620,5830619,8933000,255237479,10672425,255035575,21431035,23421846,17144895,12049290,8100709,8100708,10672427,10672428,15437583,16247869,13107033,13107032,18451041,24970968,32642265,41529852,32642263,24970960,18451032,13107026,8932998,8932997,12858813,8744545,5692989,5692990,5853251,3653726,2185237,2185236,3653721,5853241,8966249,13154576,12825145,8719575,5675696,3530080,2100841,1209621,682164,380117,208749,114167,114168,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883375,4592178,4592177,7281737,9122933,9122929,10600265,13353263,9552203,6267775,6267776,3924389,3924390,6267811,9552260,9125545,6203087,6203086,8779024,5970985,5970983,9124877,13352819,13350353,13350352,18751570,24790821,32416543,268632536,30533156,23114528,23114529,21828810,15760871,10915269,7218890,4548358,4548359,7218893,4548360,2734177,267765329,900734,1584337,2734178,4548364,7142715,10809551,15622989,15619564,10807063,7141033,4496273,4496274,7141035,10807068,15619087,10806712,10806711,10915076,10807144,7141093,254512333,4548620,7219315,7142721,4497351,2702317,2702318,4496293,2701600,1565276,889953,889954,1565279,2701604,4496301,4497992,2702792,2702793,4497993,7141353,4496492,2701736,1565391,1565392,890553,890554,1566148,267787775,1565608,2702027,1566179,1565631,890218,890219,1565633,2702034,1566140,890551,502520,502519,890549,1566138,2702748,4497955,4497559,4495958,2701333,1565033,1565032,2701328,2702274,2702273,2702678,1566083,1566084,2702683,2702800,1566192,1566194,2702803,4498007,7143539,10810678,15618655,15622899,10809464,10809463,10808407,10808408,15621378,21656501,21658598,15622890,10809452,10809453,7143485,7143486,10810630,11059759,7333406,7141851,7141840,4496769,2701919,2701920,4496771,7141846,10808340,15621224,15621223,15624213,15624214,12079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6825,6473621,9855193,9855320,9855321,9855118,9855117,14344429,14344748,14344749,15322442,15322441,20027398,20027076,14344409,9855100,6473557,6473558,9855103,14344365,14344478,9855281,6473685,5324736,5324735,8253977,12225132,9855332,9855335,14344627,14344957,20027800,26911287,20027159,20027158,26911286,34992602,34992935,34992936,34992426,26911111,26911112,34992428,34992601,26912036,26912035,34993415,28505956,256312429,34993397,34993399,37004074,37004076,34992064,26910812,20026764,14344176,9854938,9854937,14344170,20026755,26910793,34992027,44370435,55221576,44372410,44372407,44372406,53924324,53924325,55222772,44371723,34993296,34992102,34992103,44370506,44371072,44371069,55222205,55222204,67565619,57678782,57678783,46331976,36476439,36476438,31156361,23668484,23668485,31156363,39839132,49862600,61345630,71395678,71395212,58660566,47270030,47270031,47269405,47269406,58660376,58660377,255042110,58660386,255042104,47986652,38073911,29509714,22168880,22168882,29509729,38073943,29771372,29771369,38237987,38237983,38237984,48147466,39838778,31155990,23668174,17349890,17349889,23668172,23668612,17350229,17350230,20027216,23668151,255411920,39839152,31156498,23668608,23668607,31156494,37358741,37359177,28819411,21550018,21550019,28819412,37359179,255411908,49862552,49862553,48508409,38593543,38593541,44371116,44371117,55222247,59901949,61345438,49862328,39838757,254738680,23668149,31155961,26911372,254532814,16456949,11466430,254238978,22647963,30005285,22635405,16447559,11459864,11459866,16447562,22635407,30005289,31155334,31155333,39838241,31155397,256423945,30005355,31155401,31155400,39838274,39839333,31156582,31156583,256757045,49862898,44616227,44616226,39842348,31159578,31159579,268991161,256407392,31156910,31154928,23669266,17350757,12222854,8252330,5323572,3271895,1924319,1924320,3271901,5323581,8252339,12222866,17350778,17350465,12222634,12222633,17350461,23667158,17349076,12221578,8251420,5322906,5322905,8251415,12221569,17349063,23667130,30005359,27139293,27139294,31154825,23667104,23667103,23669092,23674537,17354902,17354901,23668913,17350519,12222681,8252385,8252387,12222942,12197564,8228235,8228236,12197567,13322677,13322675,18715907,17350704,17350703,268252023,12221561,12221560,17349046,23667091,22635453,22635454,30005351,38576130,39804025,39840637,31158091,23670079 Dl.O(d2) = 339059,186187,186188,339063,609393,609420,1085171,1901096,1901103,1901719,1901717,1901016,1085121,1085120,1901011,3240077,5245474,8170900,5276390,3230600,1894608,1081339,1081340,1894612,3230605,3200868,3200867,5242000,5296064,3247059,1906033,1906032,3247054,3262341,3262342,5264486,3219526,1886587,1076391,1076392,1886594,3219538,3251637,1909425,1090305,1090306,1903426,1903427,1908690,1887374,1887372,1890194,1078571,1078569,1890187,1921792,1097870,1097871,1885567,1085657,609635,339164,339166,609640,1085669,1088156,254134043,341930,341929,615050,1095585,1918069,3229203,1893625,1080731,606982,337742,337740,606980,1080725,1893619,254263629,1889449,1896425,3233191,1897214,1897215,3201256,3201258,3216219,3216221,5238963,5277401,5248888,3206584,1877831,1071298,1071297,1075543,604212,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1617395,1617393,2786600,2786601,1893533,1080674,1080675,1893538,3229074,5274865,5269387,3224066,1898504,1083639,1083638,1898502,3236250,5283207,5253590,3210328,1880253,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,11038287,7312743,7312744,5224968,5224970,7318526,7318525,11043839,8151038,7307015,7307017,7307039,10799796,10799799,8152273,8152272,11720657,7822796,4964715,4611284,4611287,4617373,4968421,4968420,7827355,8147669,254389103,3184039,5219629,7317286,11042741,11039506,7313886,4616766,2780055,2780054,4616762,7313882,11039500,8154155,5225025,3187445,1865222,1865221,1741926,254248227,3000015,3000016,254370909,7826166,11721688,7826489,7824287,4966005,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925180,925181,1627013,254273587,5464131,8456605,11720375,254781658,2998502,1741473,1741477,2998509,4964521,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958012,2998793,4965024,5308654,4963837,2998024,254370657,2997606,267898155,5296601,254777517,7491383,4734944,3245051,3245052,254584197,5308327,5297318,5297317,5462023,5462024,7325307,7325308,8196050,254392752,254182735,1088875,1907144,3221442,5266630,5309859,3260345,3260342,5310270,4958005,2993386,1738154,987727,987725,1083007,1083008,1897389,3234558,5279261,5279262,3239987,3239986,5288319,7301935,5263055,5263054,3241841,3214947,1897357,1897356,3231711,4961794,4961795,4628896,2788457,1617780,1617778,2788441,4628890,3208833,1879298,1879300,3208838,2995885,1893486,1080647,606951,606952,1080652,1880794,1880796,3208551,1879111,1074956,1074955,1884232,1898762,1898763,1878927,1878925,3196617,3196616,3210260,3205356,1877025,1070825,601718,601717,1070771,601732,335286,184369,100976,55669,55667,100968,184342,335226,601930,1071180,1877437,1877438,3205943,5204396,8123445,11051925,254789686,18451014,13107013,8932988,8932986,8932985,13107009,18451004,18451044,13107034,8933002,5830620,5830619,8933000,255237479,10672425,255035575,21431035,23421846,17144895,12049290,8100709,8100708,10672427,10672428,15437583,16247869,13107033,13107032,18451041,24970968,32642265,41529852,32642263,24970960,18451032,13107026,8932998,8932997,12858813,8744545,5692989,5692990,5853251,3653726,2185237,2185236,3653721,5853241,8966249,13154576,12825145,8719575,5675696,3530080,2100841,1209621,682164,380117,208749,114167,114168,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883375,4592178,4592177,7281737,9122933,9122929,10600265,13353263,9552203,6267775,6267776,3924389,3924390,6267811,9552260,9125545,6203087,6203086,8779024,5970985,5970983,9124877,13352819,13350353,13350352,18751570,24790821,32416543,268632536,30533156,23114528,23114529,21828810,15760871,10915269,7218890,4548358,4548359,7218893,4548360,2734177,267765329,900734,1584337,2734178,4548364,7142715,10809551,15622989,15619564,10807063,7141033,4496273,4496274,7141035,10807068,15619087,10806712,10806711,10915076,10807144,7141093,254512333,4548620,7219315,7142721,4497351,2702317,2702318,4496293,2701600,1565276,889953,889954,1565279,2701604,4496301,4497992,2702792,2702793,4497993,7141353,4496492,2701736,1565391,1565392,890553,890554,1566148,267787775,1565608,2702027,1566179,1565631,890218,890219,1565633,2702034,1566140,890551,502520,502519,890549,1566138,2702748,4497955,4497559,4495958,2701333,1565033,1565032,2701328,2702274,2702273,2702678,1566083,1566084,2702683,2702800,1566192,1566194,2702803,4498007,7143539,10810678,15618655,15622899,10809464,10809463,10808407,10808408,15621378,21656501,21658598,15622890,10809452,10809453,7143485,7143486,10810630,11059759,7333406,7141851,7141840,4496769,2701919,2701920,4496771,7141846,10808340,15621224,15621223,15624213,15624214,12079030,10810667,7143522,7141944,7141943,7143292,7141953,4496839,4496838,7141948,10808453,10810627,7143482,7141801,4496744,2701904,2701905,4496748,7141806,10808295,10321162,6790533,6790534,7141916,10808414,15621385,21656510,21660355,28934120,21656364,16245376,11294273,255092315,22408727,29772372,38343592,256619426,30020469,24371956,24371955,31902732,39386553,30784432,23359371,17090688,12003177,8057222,8057226,11999035,11251292,7468732,5173004,5173006,8028315,5117455,5117456,5173000,3400915,3400914,3151081,3151079,5167376,8073104,11981110,8047899,5138144,5138143,7147976,7147977,8030287,8056645,8025493,5114610,3106340,3106341,5114612,254822333,11998740,8072831,5167063,3149299,1842418,1051391,1051392,1842423,3147976,5126606,3115593,1839882,1049977,590641,590642,1049980,1839889,1841518,1050856,1050857,1841503,1820444,254256363,3157918,3157917,5176681,5177041,5177040,6475061,6475060,5108114,3101383,3017464,1753422,254128033,561862,997593,1753418,3017460,4994383,5155397,5155398,8062597,7867885,7867883,5158834,3142300,3142301,5158836,8065258,5229712,5229713,7521266,7521265,11325065,8017143,5105643,5105642,8017142,7522165,4756293,3152763,1844756,1844757,3152765,3145656,3145657,5162646,8047381,5137462,5126162,3115185,3100671,3100673,5107136,3193958,1869559,1066505,599491,334028,183780,100715,100716,183783,334033,599499,1048086,1048085,254257931,5157054,5169241,5117884,3108748,1816616,1816615,1867061,3100275,5106605,8018004,7521103,4755217,4755219,7521114,11324950,11982667,8031639,8031640,8037698,5176574,3157820,3157818,5176572,7999621,7999622,8037891,8037890,11986968,11982673,8037591,5127766,5127765,5120958,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941071,7792809,11685902,9857760,6475395,6475394,9857755,7792945,4941165,4941164,7792942,9857784,9857782,11985676,11985678,12018421,17069663,17069662,11996070,8048192,5138416,3124871,3124870,5138411,6475058,6475059,9857353,14347200,16286076,14348082,9858149,6475694,6475695,9858151,14347280,11996012,9857386,9857387,9857425,6475110,6475111,9857442,7793768,4941678,4941679,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405073,2429003,1405101,799612,799610,1405091,2429040,4058309,4935868,4935866,2982010,1731028,984053,553981,553979,984043,1731006,2981973,2979660,1729636,983272,553564,553565,983277,1729655,2979695,2979593,2979591,4937850,6475681,6475679,6862108,10410049,11690954,11679920,7788295,4937900,4937901,7788302,11679934,16721526,16717623,15982162,11687051,11687050,9858613,7750798,7750797,11634563,11689600,11689599,11680227,7788543,7788542,11680222,16308150,16668779,16668780,22899128,22957838,22088783,22088784,22964855,254553204,28152426,20974054,16721378,11679793,11676163,7784840,7784843,11676170,7795916,4943452,2983369,2983368,4934951,7784816,11676122,11687007,7793662,7793663,11633769,11633768,16668017,11674781,11674778,16716554,22953231,16957134,11869377,11869376,16957133,23229869,254805030,30356296,38938447,41088529,41088543,51265820,258963299,81033943,67564944,55221380,44372458,34994021,26912585,20028233,14345286,14345285,20028229,26912579,34994013,44372452,55223457,59907217,65525143,53499556,53499557,55223466,44372486,44372485,256152394,34993713,34994034,34991801,26910616,20026633,20026634,26910618,34991805,44370187,34993464,26912084,26912085,34993465,44370727,34992297,34992296,44370724,55221882,44371458,43015831,38950601,30364345,22962570,16726218,11683746,7791120,7791121,11683752,16726227,22962589,30364367,38950631,44372119,44372118,55223155,55222732,44371690,44371692,55222739,67566028,67566034,67565467,55222033,44370906,34992468,26911153,20027028,20027029,26911155,34992472,256737685,34993274,34992418,26912315,20028013,14345132,14345131,20028011,20028065,26912410,34993694,26912307,20028006,14345127,9855620,6473885,4056973,4056974,6473887,254969685,255737919,26912467,256212341,23339167,17073021,11984989,8034897,5124613,3113873,1819653,1038848,585088,585087,1038847,1819652,3113872,254568419,5162084,5162085,4510765,2710543,2710542,4510763,7161892,5122792,5122791,8020775,5122776,3112479,3112480,5122777,5148010,254384733,1837149,1048378,1048384,1837177,1837075,1837072,3141256,5157748,3147806,3147807,5165558,5075258,3077726,3077725,254254060,5602740,8618344,10467882,10467881,15177635,17066393,17007556,17007555,17007558,254175908,17008054,17081056,11993244,11993243,8076666,8038776,5129036,3117528,1821951,1821950,3117525,4756532,5045375,3055863,3055867,5045392,7934764,7116444,7116445,10770700,15571380,254252538,11327077,7523261,7523260,5130529,5130528,8040166,267836578,11939577,11939575,17024613,16964096,11971761,8016078,8016077,11971760,10771882,7117294,7117293,5064466,3068719,3068715,254088016,11903731,11915640,17002464,254228384,267885168,6473616,4056822,2428264,2428265,4056825,6473621,9855193,9855320,9855321,9855118,9855117,14344429,14344748,14344749,15322442,15322441,20027398,20027076,14344409,9855100,6473557,6473558,9855103,14344365,14344478,9855281,6473685,5324736,5324735,8253977,12225132,9855332,9855335,14344627,14344957,20027800,26911287,20027159,20027158,26911286,34992602,34992935,34992936,34992426,26911111,26911112,34992428,34992601,26912036,26912035,34993415,28505956,256312429,34993397,34993399,37004074,37004076,34992064,26910812,20026764,14344176,9854938,9854937,14344170,20026755,26910793,34992027,44370435,55221576,44372410,44372407,44372406,53924324,53924325,55222772,44371723,34993296,34992102,34992103,44370506,44371072,44371069,55222205,55222204,67565619,57678782,57678783,46331976,36476439,36476438,31156361,23668484,23668485,31156363,39839132,49862600,61345630,71395678,71395212,58660566,47270030,47270031,47269405,47269406,58660376,58660377,255042110,58660386,255042104,47986652,38073911,29509714,22168880,22168882,29509729,38073943,29771372,29771369,38237987,38237983,38237984,48147466,39838778,31155990,23668174,17349890,17349889,23668172,23668612,17350229,17350230,20027216,23668151,255411920,39839152,31156498,23668608,23668607,31156494,37358741,37359177,28819411,21550018,21550019,28819412,37359179,255411908,49862552,49862553,48508409,38593543,38593541,44371116,44371117,55222247,59901949,61345438,49862328,39838757,254738680,23668149,31155961,26911372,254532814,16456949,11466430,254238978,22647963,30005285,22635405,16447559,11459864,11459866,16447562,22635407,30005289,31155334,31155333,39838241,31155397,256423945,30005355,31155401,31155400,39838274,39839333,31156582,31156583,256757045,49862898,44616227,44616226,39842348,31159578,31159579,268991161,256407392,31156910,31154928,23669266,17350757,12222854,8252330,5323572,3271895,1924319,1924320,3271901,5323581,8252339,12222866,17350778,17350465,12222634,12222633,17350461,23667158,17349076,12221578,8251420,5322906,5322905,8251415,12221569,17349063,23667130,30005359,27139293,27139294,31154825,23667104,23667103,23669092,23674537,17354902,17354901,23668913,17350519,12222681,8252385,8252387,12222942,12197564,8228235,8228236,12197567,13322677,13322675,18715907,17350704,17350703,268252023,12221561,12221560,17349046,23667091,22635453,22635454,30005351,38576130,39804025,39840637,31158091,23670079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007239, s2 = 14852578, dlinesl.size( ) = 2 s1 = 11007239, s2 = 14852578, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11007239, Dl.E( ) = 8, 1.5e-05 seconds used appending s1 = 14852577, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13219696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13348093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13348093, s2 = 10344669, int(edited[s2]) = 0 s1 = 13348093, s2 = 10344669, d1 = 6, d2 = 107 Dl.O(d1) = 9888681,6497526,4071396,2436224,1408825,1408824,2436222,267871083,6505354,4076501,254214475,1410234,2439113,4076507,6505370,9898338,10895188,14375187,20059738,16291070,11334161,11334162,16291073,20050265,14378692,14378693,11841596,11841595,16803248,11749633,7844845 Dl.O(d2) = 75675474,62729096,51097614,49961509,49961508,269195968,40955536,40177529,31492081,31492082,257318653,35183551,27094783,20195676,14490617,9970235,9970237,14490627,9970278,6552599,4104978,4104979,6552605,9970288,14490713,20195815,17366995,17366997,17367748,23690023,31179535,24818363,24818364,32454848,33976926,31179430,29170513,29170512,31500240,31500239,34985320,32176622,24590169,18144849,18144848,24590167,32176620,40955776,51097910,42614872,42614873,37769060,256905897,49883836,256746850,255746394,14210261,14210260,19836047,26649566,256534286,49961396,39944569,39944570,256947317,29741214,22382390,16224895,16224896,22382392,25320324,256632409,33976114,26137275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13348093, s2 = 10344669, dlinesl.size( ) = 2 s1 = 13348093, s2 = 10344669, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13348093, Dl.E( ) = 110, 4.7e-05 seconds used appending s1 = 11007553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007553, s2 = 10481214, int(edited[s2]) = 0 s1 = 11007553, s2 = 10481214, d1 = 9, d2 = 7 Dl.O(d1) = 11837650,16914602,22345448,22345478,16196011,16196012,22345480,29699451,256401873,29699398,22345432 Dl.O(d2) = 17957995,24350640,17958154,17957909,12725598,12725599,17957912,22341260,255905071,17958118,17958117,18093074,12827845,8721902,5677341,5677342,8721905,12827853,18093084,255905069,22341240,16192752,16192751,12725610,8646931,8646932,5623983,5623984,8646956,12725653,17957993,21436075,17958204,12725836,12725837,17958205,24350753,24350765,24350766,256053767,24350709,19176873,17957932,12725638,12725639,17957979,18131774,12856908,12856909,18131775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007553, s2 = 10481214, dlinesl.size( ) = 2 s1 = 11007553, s2 = 10481214, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11007553, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 11007561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007561, s2 = 11064816, int(edited[s2]) = 0 s1 = 11007561, s2 = 11064816, d1 = 14, d2 = 4 Dl.O(d1) = 268099985 Dl.O(d2) = 60527766,49127026,48527588,256426467,11473588,255486767,18957272,13520958,12059733,12059734,15288380,12065846,12065844,15308937,15308936,21270306,255027187,10532678,6973249,6973248,10572069,10552407,10552406,15149001,15148996,21089720,21252247,21252248,21256063,21241592,15280426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007561, s2 = 11064816, dlinesl.size( ) = 18 s1 = 14237519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14237519, s2 = 7858286, int(edited[s2]) = 0 s1 = 14237519, s2 = 7858286, d1 = 5, d2 = 17 Dl.O(d1) = 8045960,8045963,7937228,5047511,5047509,3061164,3061167,3955813,2368918,2368920,3955820,6311669,9609317,11952126,11900544,254177342,11905501,11905500,16976757,16971763,11884103,7945047,5052731,5052730,7945044,11884097,16971758,16982167,11895911,11895910,16982165,23239652,16969510,16953204,11890533,7980382,7980381,11894411,11894413,254566884,17027354,254534552,11929954,7983215,7983214,11929951 Dl.O(d2) = 4930864,4930865,7780120,11670895,16712516,11681305,7789463,7789464,11681307,16722946,16997642,19535843,19535842,21694317,15654064,12154784,12154785,11906046,267892518,5066084,7963483,6414095,267816829,1395241,1395242,1109654,1109653,623176,622715,346085,346086,622717,1109611,1942466,2441476,2411128,2411127,2249246,2249247,2258709,2258710,1395283,793518,793517,1395281,823613,465126,261873,261874,465128,823616,1109639,622733,346094,346093,622730,1109634,1942502,3302513,3303321,2442628,1412447,1412446,2442626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14237519, s2 = 7858286, dlinesl.size( ) = 8 s1 = 11008011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11008315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008315, s2 = 14058196, int(edited[s2]) = 0 s1 = 11008315, s2 = 14058196, d1 = 8, d2 = 11 Dl.O(d1) = 255545839,31057507,25493361,256131313,30575162,28469524,21248501,15282664,10548378,6956743,267881576,15282659,10557837,10556855,10556854,15291887,16802665,16774292,12407234,12407236,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325372,5409259,8382142,12402811,16897674,23158982,17553089,12691790,12691791,17914133,23916129,17573819,17569113,12397406,8378257,8378258,12397409,17569118,23912108,29961473,23917107,255268298,40087781,42295014,33314567,25552848,23893727,23893726,255640980,23900008,17555188,12384648,8368801,8368802,12384655,10575924,10575926,8358928,8358927,12370320,16898009,11825459,11825456,8381501,8381499,12401931,10570943,10570941,7737987,4899316,4899313,7737978,9075104,13292740,15488133,10710277,7075663,4454618,4454619,7075672,10710298,13535001,9264850,8372645,7737579,7737578,11618711,9205115,6026538,3770247,2259009,1311193,748629,748626,1311182,254923489,18888518,256131299 Dl.O(d2) = 42205056,269081459,258408481,77609136,64440837,52565537,42205058,256831490,28280532,21075699,15138802,10441142,6883178,6883180,10441147,12490367,12490366,17663181,24009807,26962214,28936938,28936937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008315, s2 = 14058196, dlinesl.size( ) = 8 s1 = 14058195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058195, s2 = 11008316, int(edited[s2]) = 0 s1 = 14058195, s2 = 11008316, d1 = 11, d2 = 12 Dl.O(d1) = 37834116,29267982,29267984,37834118,37486954,28944888,28243321,21044220,15115897,10426430,10426433,15115892,21044210,28243303,256831491,58002043 Dl.O(d2) = 256131296,77406986,256131298,42058231,254923488,5986024,3743071,2240741,2240743,3743083,5986134,6563768,9986628,13532462,13382715,9986656,9986657,14513319,12015616,8074330,6966140,6966139,10561787,13528903,15275344,16902350,11828514,7904886,5024799,5024797,5024827,5024828,6905843,4337462,2596736,1497987,1497988,2596740,4337476,6064962,6064963,9260062,10538534,6949980,4367186,4367187,6949985,10538545,15271797,21239745,21255031,255640981,13162894,13162895,18526464,25068212,32764586,25568743,255268299,11826262,11826260,16898927,23160153,17148703,12052264,12052263,15184257,10473645,6905874,6905873,8268411,8268414,9253243,6060244,3791846,2271421,2271420,3791840,3793924,6061754,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,4729996,2849736,2849737,2620531,1512759,857642,857643,1512767,2620546,267881577,10557615,15290444,15290445,21255077,28474750,33326734,256131312,21981528,22527704,255545838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058195, s2 = 11008316, dlinesl.size( ) = 16 s1 = 11008419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008419, s2 = 10615982, int(edited[s2]) = 0 s1 = 11008419, s2 = 10615982, d1 = 15, d2 = 25 Dl.O(d1) = 10799599,7135552,4492354,2698963,2698964,1771560,1771561,1771621,1009629,568966,568965,1009627,1771583,1009609,568957,318658,176123,176122,318655,568949,1009597,1771543,1771542,1771532,1771533,254375355,7906975,254602603,5315249,5315247,8243472,8010178,5099292,5099293,8010185,7243047,7243048,8009369,11965174,17056310,21838686,17056593,15780769,15768448,15768449,21838053,15768906,10921416,10921415,10923328,7225096,7225095,10923327,15770904,15774435,15768375,10920700,7222573,7222575,5098793,3094744,3094745,5098795,7228896,10923505,7225287,7225286,7224159,7224157,7223186,4551218,4551219,2736414,2736416,4552092,5099216,5099217,4551957,4551955,7222906,8009821,5099023,3094920,1808298,1585119,1585118,2735684,4550996,7222924,7223108,4551153,2735799,2735798,2961624,1717498,975952,549484,307605,170208,170209,307607,549488,975958,1717509,1717500,1717499,2961627,4913284,4559432,2741707,1588864,1588861,2741702,4559424,7227802,254342659,1586697,901975,901977,1586701 Dl.O(d2) = 1585636,2736573,4552316,7224590,7224685,7226479,7221372,4549975,2735066,1584796,1584797,1588776,1588775,2741575,4559275,4552513,4552514,7224824,7225181,7225180,10918554,15765303,15765582,21834417,29142188,31259140,255170386,13921095,9554952,6269614,6269616,3925504,3925502,6269622,9554968,13921122,19453256,16964175,16964173,22144964,16026387,11637544,11637543,11584799,7710989,7710988,11584791,16038142,11136092,11136091,16038137,22159265,26151795,19453085,19453086,15440555,10674805,10674806,15031458,10359287,6823216,6823215,10359294,15031465,16038314,11136215,7386541,7386543,4666534,4666535,7386639,11136362,16038501,16277821,11318890,10686989,10686988,15456504,21455457,28294704,33993500,26151991,26151990,29498690,30223162,22831056,16609881,11584760,7710970,7710971,11584764,16609884,22831058,30223167,30788217,23362688,23362687,30220292,30220290,268615968,16038692,11136501,11136500,16038687,22159106,16037972,16037973,255076753,254766365,4666624,2811408,1630984,927480,927479,1630980,2811400,4666606,7386766,5040756,5040757,7386245,7386246,11135733,16037684,16038602,11136430,11136431,16038606,11136706,7386870,4666675,254524461,7386841,11136669,16038529,16858090,11790790,7873406,4998388,3020023,3020024,4998390,7873407,7368694,7368693,11110106,11110107,255886549,22828507,22828506,22159070,16037940,11135944,11135943,16037938,22159068,256385249,38061337,29498555,22159762,22159761,22116564,16003778,11110545,7368871,7368872,7386851,11136683,11585669,11585666,11585839,11127399,11110472,255074881,16003173,16003087,11110076,7368545,4654957,2804411,1626877,925102,521473,521474,925108,1626891,2804431,4655182,4662767,7380570,11110093,11090970,11090971,11090977,7386223,4880081,2940450,2940448,4880073,4666259,4666261,7386207,11110307,16003440,16003308,11110210,7368626,4655008,2804332,2804331,4655002,7368608,11110185,16003263,15976615,11090840,11090839,11110329,11110330,16003469,16003607,16003608,16003695,11110522,11110521,11110463,7368828,4655134,2804398,2804397,4655110,4655111,4655152,4655169,7368892,11110582,11127392,16026371,22082552,15976771,15976770,11110628,7368924,7368925,11110636,11584887,11135679,11135678,11135684,11135693,16003433,22115919,22080057,15974521,255448469,29410530,22832142,22832143,255471512,255449799,16002964,11109985,11109986,16002969,22115699,22115987,22115965,22115966,22116425,22116427,22116689,29450306,37976267,38011945,30223508,30223510,30224095,22832100,22832099,22116496,16003712,16003711,21665267,21665268,22116383,22116382,29449977,38012099,29450167,29450166,29450076,22116455,22116456,29450080,29815241,29815240,38012464,29815269,29450356,29450355,38012369,38012370,33050601,29497640,29497639,38060539,38470390,38470392,38012108,38012106,47926309,38011639,38011638,38012016,38806692,38011806,38011805,38011819,47926439,38806767,30223541,22831528,16610386,16610385,22831521,30223525,30224089,37974079,29450111,29450110,38012254,30223577,30223050,30223049,29450044,22116438,22116439,29450048,29815224,29450067,29450068,38012212,38387933,29815265,22447361,16277770,11318862,11318861,16277767,22447353,29815252,38387958,47839386,47926662,39965911,39965912,49982436,59319475,60645313,72024688,59288099,255116124,47891938,59288092,59684574,48727397,38806759,268415058,60122284,60787311,49386458,49386457,47926766,47926765,47926731,255941026,72054113,59319495,47926687,269335451,59684558,48298261,48298262,48298265,48506758,256425141,22646804,22646803,30019260,37552916,39317724,30719422,23302115,23302114,24000689,22829777,17179029,17179025,23457161,22080088,22080087,29410581,37974035,47891946,40183009,31498241,24000681,24000666,22828939,22828941,30221062,38804598,46609625,36721710,30219958,30219959,33992496,43051669,47972747,49244619,48506773,39271497,38012138,30220945,30220947,30719363,23302070,23302069,28985743,37530218,39271562,39271561,48298290,48090857,38179257,38179258,38591974,47891892,37973986,37973988,46878632,255498432,21284696,21284697,28392191,23804241,23804240,23457151,17179023,17179024,23457157,28851487,26150724,26150723,21284668,21284669,28502930,30047573,29704936,22350201,17656425,12485801,12485803,17656431,24000655,29704086,22646780,16456005,16456004,13920704,9554733,9554735,13920709,12485827,12485826,16995521,16995522,23258745,30675021,30719399,30719398,39317683,33992536,26151073,26151072,33992530,33992266,26150811,19452378,19452377,23258768,16995537,16995536,19452708,19452709,26151105,19452633,19452383,19452385,21579488,15556051,15556052,15320974,15320973,21284675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008419, s2 = 10615982, dlinesl.size( ) = 20 s1 = 13222570, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13236785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13236785, s2 = 15238895, int(edited[s2]) = 0 s1 = 13236785, s2 = 15238895, d1 = 11, d2 = 15 Dl.O(d1) = 15060903,10385911,8272774,8272776,12249186,17382764,12249273,8272843,8272841,12249269,17382886,17410310,17410309,255315558,23723638,23723639,31207141,30850379 Dl.O(d2) = 20971246,20971249,23725065,17401203,12263113,12263115,17401212,17396454,12259526,12259523,12259536,12259534,17396473,17471364,22518565,22518566,25577284,23731485,23731483,23731473,23731474,31194120,23705457,23705456,17565912,12394543,12394542,17409454,17409480,12269122,8285236,5345045,5345046,8285244,12269142,17409505,17548953,12378858,12378859,12378579,12378578,17548588,255024496,36536846,39043907,39043908,30850380,23420140,17143725,17143727,20972004,17143690,13517824,13517827,18954410,23728590,23728587,22770251,16556224,11539987,11539989,16556182,12266027,12262509,8320375,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281314,12262707,15070051,12259892,8279651,8279654,5343832,5343829,254589091,1931275,1103285,1103286,1931281,3283844,254843961,17400690,256006113,256272656,1465738,829376,829377,1465739,1468912,1468911,1460390,1460392,2229999,3707521,2220312,2220311,3707514,4257578,2545313,1466395,1466396,2545316,4257585,4257523,2545278,2545279,1725099,1725097,2972713,3709666,4296781,5932940,9057151,9086615,9086614,13304988,10373829,6835382,4288813,4288816,6835394,6802178,4265791,2550400,1469185,1469184,831114,831113,1469201,2550442,4265861,6802277,10334345,6802219,6802220,10334487,10984748,7271112,4585392,4585391,7271108,5374190,5374189,8326944,12326617,17482705,19689581,19689582,23472853,17191473,12088381,12088382,255150280,257399651,47538436,38252651,35008325,255418380,14356341,14356340,20041089,14356275,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,6483488,9869671,14362955,14373404,10912882,7217224,7217221,10912873,15757760,20067150,21779505,20017511,17659725,12488064,12488062,17659711,20052154,20052156,20051700,14366204,14366203,14366228,12366793,12366795,17533832,21824488,16095805,16095801,22230162,26899703,268824783,29086452,37636180,256741484,260396774,84781562,258057784,10678158,254334902,4402088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13236785, s2 = 15238895, dlinesl.size( ) = 8 s1 = 11008633, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13223192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11008777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008777, s2 = 11037938, int(edited[s2]) = 0 s1 = 11008777, s2 = 11037938, d1 = 4, d2 = 11 Dl.O(d1) = 8317685 Dl.O(d2) = 254185111,345763,189629,103541,56946,56944,103554,189656,344954,343880,343881,618804,254268179,254587981,3296785,1938972,1108309,621979,345660,345663,621994,1108324,1940307,1927472,1927473,1940606,3299486,3274134,1938927,1107528,1107530,1938933,3273678,3273675,3295814,1938423,1107245,1107247,1938432,3277794,1927981,1101564,618270,343619,343618,618264,1101553,1106874,1937795,254398703,1928602,1928603,3278866,5326031,8255926,5334118,3278841,3278840,5334114,8267109,8270400,5336657,3280539,1929628,1929629,3280543,5336664,3299452,3299451,5326284,5326283,7799822,5326270,3273827,1925641,1925642,1929204,1102258,618625,343801,188535,188534,343798,618620,1102248,1928277,3278304,5333303,8265999,12240462,12229589,12229590,12294824,8304016,5357914,3293568,3293567,5357911,5359818,8307041,12299658,12245397,255166051,17371519,12239438,12239437,17371518,22315208,256011749,268258906,17414782,16172796,12243930,8269093,8269092,5366358,3299067,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365291,8315048,7460821,7460820,255087219,255582107,23786151,17455314,12305136,12305137,17455316,16163203,16163204,11230523,11230524,15003755,15003754,10757462,7107278,4474623,254227169,885241,885242,1557141,2688241,4474625,7107281,10757467,15553445,12534410,8496087,8496089,12534406,17717897,24074417,31580049,24074805,17718296,16163345,11230295,7451852,4708259,4708258,4711926,4711927,7457071,11236030,12533469,12533470,12640169,8582358,8582357,8289566,8289565,11233669,7454857,7454854,5014039,5014040,7893284,11815187,8582401,5576576,3459698,2051427,1176707,660530,660532,1176677,1176680,1309058,747304,424641,424638,747293,1309041,2255464,3403994,5517173,3432540,3432539,5546941,8548563,8492511,5534744,3420312,3400525,3400526,5513424,5552309,3438717,2034468,2034469,2003440,2003439,3391278,2016201,1153360,1153362,2016212,3415574,3416201,3415859,2016421,2016422,2042528,2042529,3448815,5565195,8569531,8519741,5517932,5517933,8519745,8529720,5595461,3472289,3472287,5496194,3475450,2062119,1995566,1140536,639816,639818,1140542,1995795,2042506,1986774,1135095,1135093,1986726,1164531,653511,362357,198313,108091,59349,33354,33355,59354,108105,198347,362415,653630,1164768,2033626,3437622,5553176,8509150,5509638,3398079,2003382,1145225,642431,642430,1145221,2003372,3398060,2014113,254277903,1150704,1150703,2012070,3409928,5020608,5020606,5570431,8574561,12532352,8526446,8526447,5577277,5577278,8583187,8526494,5525092,5513356,3400456,2004830,2004831,3034209,1765914,1765912,3034199,1993487,1993488,1139691,1139693,1993161,1993163,1148030,1148029,2007884,3404519,3386672,1994886,1140005,639550,639548,1139999,1994873,3386617,3386618,254418617,8547640,5546027,5546028,8547641,5571552,5483615,3374641,1986033,1134634,1134633,1146052,1146051,2004884,254412867,8515175,11815076,8555141,5552344,3437015,2033217,1164515,254107713,362351,362493,198388,108119,108123,198408,362528,450721,253915,253913,450734,795341,1397694,2002674,2017224,2017221,2005460,1153960,1152601,1152602,2008139,1764181,1764180,3031848,3456355,3456353,5572186,8491682,8491681,5556785,3441272,3441270,5556783,6042884,3780742,2264656,1313687,749832,749833,1313690,1173960,1173959,2047307,3454459,3454425,2058911,2058910,1181425,1181424,2047624,1764913,1005554,566678,566679,1005556,1764915,3032829,5014621,7893839,5557080,3441585,2036823,1166845,254192233,3419860,5534338,8526942,5525563,3412040,2013701,2013702,3412043,5525566,5328792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008777, s2 = 11037938, dlinesl.size( ) = 12 s1 = 11805534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11008987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11009007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009007, s2 = 11214584, int(edited[s2]) = 0 s1 = 11009007, s2 = 11214584, d1 = 13, d2 = 10 Dl.O(d1) = 8387758,5412586,3327142,1956636,1117659,1117657,1956627,3327124,5412560,8387723,12410116,13507731,11393388,10017389,10017387,12434894,17568298,12396694,8377774,5406686,3323850,1954939,1954940,3323853,5406694,6057395,3790225,3790224,6057390,9249004,13516546,11023405,7298325,6064350,3794327,3794324,6064341,9259169,13528470,15182110,10472230,6904937,6904934,10472222,254446774,28343257,268146350,21247684,268609621 Dl.O(d2) = 259381320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009007, s2 = 11214584, dlinesl.size( ) = 14 s1 = 11009027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009027, s2 = 11321546, int(edited[s2]) = 0 s1 = 11009027, s2 = 11321546, d1 = 11, d2 = 0 Dl.O(d1) = 12416354,268442397,40103229,50123392,61603250,258889375,101955425,116000010,129898096,143227367 Dl.O(d2) = 117518423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009027, s2 = 11321546, dlinesl.size( ) = 12 s1 = 11009029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009029, s2 = 11295414, int(edited[s2]) = 0 s1 = 11009029, s2 = 11295414, d1 = 12, d2 = 5 Dl.O(d1) = 12416367,17590518,17590517,12416366,12416365,17590515,23933139,255285745,1340760,765741,435513,435514,765746,1337264,2304359 Dl.O(d2) = 771971,438499,438496,441795,778627,268037357,65739913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009029, s2 = 11295414, dlinesl.size( ) = 14 s1 = 13341560, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11009055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11009079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009079, s2 = 14003030, int(edited[s2]) = 0 s1 = 11009079, s2 = 14003030, d1 = 0, d2 = 3 Dl.O(d1) = 12434371 Dl.O(d2) = 31462488,31462489,31462490,40146070,50171280,61657373,74441383,74441378,258892845,61657371,61657370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009079, s2 = 14003030, dlinesl.size( ) = 16 s1 = 11009135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009135, s2 = 11137052, int(edited[s2]) = 0 s1 = 11009135, s2 = 11137052, d1 = 8, d2 = 4 Dl.O(d1) = 8430344,8430346,8447457,5455885,3354153,3354154,5424434,8406252,5424448,5424450,8406267,8406266,8416833,8414345,8414344,12446018,12682711,8614356,8614357,12470698,10938298,7237658,4562748,2743931,1590230,904025,509849 Dl.O(d2) = 2743948,4562774,7237684,10938318,12443139,12443140,12478704,12478709,12176823,254582887,3233274,3233276,5279751,5436365,5424152,3334447,3334445,3347782,3347781,5424167,5439222,3343652,3343653,3356371,3356370,254602185,12480087,17650932,23994880,31492417,40177905,255911592,256950806,71891474,62006491,269343862,256408732,75424080,62505058,50904570,40787808,32030880,32030881,40236004,31550031,255217278,47947796,47947795,59339396,55255807,255471898,71407474,71407475,58673269,58673270,59793490,72528749,84767037,71198267,58476458,47098259,256325919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009135, s2 = 11137052, dlinesl.size( ) = 12 s1 = 13224120, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13224314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13224314, s2 = 10176979, int(edited[s2]) = 0 s1 = 13224314, s2 = 10176979, d1 = 12, d2 = 14 Dl.O(d1) = 256562728,256562730,49123762,39196174,39196173,49123761,60524865,73269851,86881573,75021576,62200623,62200624,75021577,88670488,102678959,116773143,261336511,261009258,81585945,68096098,55698712,47949564,38035975,29473186,29473188,38035985,47949574,59340931,70971632,58256165,58256162,70971642,70971552,70971554,72110434,59377622,47987287,47987288,59377625,72110446,71939108,59199740,59199738,71939100,85527000,74606806,61814671,50331120,40304994,31616744,31616745,40304996,50331130,61814696,74606848,85696650,74487215,61704313,50222506,40200224,31513938,24013255,17665704,12492080,8460923,8460925,12492089,17665726,24013301,31514010,40200087,40200083,47949517,47949520,47949579,38035992,29473190,29473188,38035985,47949574,59340931,70971632,58256165,58256162,70971642,70971552,70971554,72110434,59377622,47987287,47987288,59377625,72110446,71939108,59199740,59199738,71939100,85527000,74606806,74606756,61814641,258904339,102234884,102085982,88099235,258664586,61704196 Dl.O(d2) = 112445016,126309068,120985838,106733066,102474066,102474067,259545646,126308574,112444424,103858671,89754938,75976081,75976082,89754941,260209115,116329562,116329561,127184911,116329540,260077262,74606754,61814718,50331143,40305008,31616748,31616745,40304996,50331130,61814696,74606848,85696650,74487215,61704313,50222506,40200224,31513938,24013255,17665704,12492080,8460923,8460921,12492071,17665681,24013214,31513878,40200119,50222332,61704024,74486815,84534140,72110246,59377501,59377500,72110244,85696324,99645374,113659339,126309041,113626064,99611671,99611672,113626067,116571881,113591016,99574365,99574366,261158093,143383311,130052249,116143336,102085982,88099235,259521411,116143335,260616154,113483829,102473918,102473917,113483806,127353222,113659551,99645600,85696498,85696499,99645603,113659555,113659345,99645378,99645379,85696341,72110256,59377505,47987219,38074421,38074423,47987225,59377521,50222591,40200279,40200281,50222595,61704403,74486684,61703936,50222270,47949517,47949520,47949579,38035992,29473190,29473188,38035985,47949574,59340931,70971632,58256165,58256162,70971642,70971552,70971554,72110434,59377622,47987287,47987288,59377625,72110446,71939108,59199740,59199738,71939100,85527000,74606806,61814671,50331120,40304994,31616744,24111665,17751306,12560021,8606852,5592991,5592992,8606856,12673717,17892330,24270021,17890770,12672527,8607699,5593587,5593586,8607694,255594483,24270184,18229761,18229763,20059417,20059416,17893161,12674301,8607256,8607255,12674298,17893154,24269841,17890619,12672389,8605965,5592466,5592458,3469645,3469644,5592454,8605944,12672355,17890575,12674302,12674303,12930313,12930314,18229831,24699555,24699581,18229848,12930324,12930325,18229754,17890855,12672550,12672549,12672556,17890862,23371795,23371806,23371803,30798404,24298482,17915681,17915680,24298480,31782601,31782600,24699605,18229864,18229863,24699602,32313179,39324835,30727018,23309208,17047658,16852861,16852860,23111491,16907731,11832577,11832576,16854362,16854363,23113395,30531932,39130466,41126206,40478649,40478648,39127834,30529490,23111450,23111449,23111465,29509104,32171480,40950985,40477110,32313131,32313132,32313177,24699601,24699599,28510745,28510747,30407265,32171753,30408164,30408163,31782533,24269771,24269772,31782535,32171704,31782571,30408065,30408066,38997078,40951028,32171527,31784314,24271625,17892275,17892276,24271627,31784318,40478644,40478634,40478633,40951153,38997092,30408090,23003279,16763683,16763684,23003281,30408093,38997095,31782496,24271634,17892281,17892282,23003276,23003277,18141602,18141603,18141624,18141623,24585768,24585769,32171695,24585761,24585726,23003233,23003234,30408046,38997070,40951162,50513628,40478642,40478643,48920932,48920877,38997105,30408104,23003293,23003292,30408102,37348608,46879001,38997035,30407983,23003146,16763510,11716098,7817487,4959769,4959768,267767930,11716115,16763537,16763524,11716108,7817493,4959772,4959774,7817497,11716112,16763532,17893694,12674734,8607584,8607583,12674732,12673552,12673550,15896166,254806400,255510152,254553992,16763657,12674793,8607635,5593549,3470266,3470268,5593560,8607647,8607128,5593183,5593182,8607126,5593536,3470254,2057906,1180714,1180713,2057904,3470249,5593525,8607599,8606728,8606727,11019643,7295319,4600946,2768252,1604932,1604933,2057701,1180598,663048,663047,1180593,2057693,3469912,5592942,8606692,5592894,5592895,8006050,5096806,3093681,1807627,1032451,1032449,1807622,3093675,5096795,8006029,8607247,5593260,5593261,5593438,3470199,3470200,5593441,5593397,5593396,8607436,12674544,17892891,17892947,17892949,17893117,15896178,11019652,7295323,7295322,11019650,15896175,17047671,12673969,12673968,12674785,17893465,12674526,8607414,5593375,5593374,4865940,4865941,7689430,5593190,5593188,8607135,8607286,8607283,11959674,8006106,5096849,5096851,5096824,3093692,3093691,5096818,8006073,5593618,3470304,2057934,1180733,663117,367799,367800,663119,1180739,254421205,8607524,255203663,24273380,31786335,40480871,50516037,62007656,74804431,88437100,88437141,74804456,74804458,88437143,102439277,116536580,130375260,143701519,262204447,140886518,127530986,127530985,140886514,139680660,258294908,112444726,126308816,139680657,260157004,156230676,143701480,260157002,140886498,130375153,116536418,102439126,88436984,74804351,62007601,50516001,40480859,31786332,31786333,40480864,50516021,62007636,74804404,74487050,74487049,88099211,88099346,98456054,112445068,102085933,102085934,102085893,102085894,116143285,261305245,260757270,130052473,116143701,102086400,88099662,88099663,102086401,91252312,77332788,64185737,64185738,77332789,91252314,105474424,259370820,72337692,257527109,38305980,268404677,22380020,29738144,38305979,48215737,48215741,58470760,268997578,31165807,31165808,34168069,38126549,29561048,22215558,16083852,11169952,7410463,4682458,254526357,255080099,22215533,29561018,256415303,48369552,258122597,48039695,59431759,48839354,38918792,38918791,38126509,38126508,269338079,72170251,85764479,99718496,99614092,85664911,72170245,72170244,85764470,85664907,72077962,59344006,47952748,47952749,59344009,72077968,85664914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13224314, s2 = 10176979, dlinesl.size( ) = 2 s1 = 13224314, s2 = 10176979, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13224314, Dl.E( ) = 16, 1.29e-05 seconds used appending s1 = 11009289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009289, s2 = 11286264, int(edited[s2]) = 0 s1 = 11009289, s2 = 11286264, d1 = 9, d2 = 12 Dl.O(d1) = 256539185 Dl.O(d2) = 258900978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009289, s2 = 11286264, dlinesl.size( ) = 14 s1 = 14850081, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11009505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009505, s2 = 14295700, int(edited[s2]) = 0 s1 = 11009505, s2 = 14295700, d1 = 29, d2 = 19 Dl.O(d1) = 258907915,273392606,262832457 Dl.O(d2) = 257426277,46840947,258035933,258660563,259906593,112401678,126264689,271777790,270298588,28173757,255413426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009505, s2 = 14295700, dlinesl.size( ) = 26 s1 = 11009513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009513, s2 = 11174336, int(edited[s2]) = 0 s1 = 11009513, s2 = 11174336, d1 = 18, d2 = 10 Dl.O(d1) = 12540731,8501436,8501435,12540729,254124150,11593663,8550281,8550285,12599419,13202660,18578194,22318439,22318435,19704831,14128637,9720012,9720009,14128625,14128282,9719818,9719820,9720249,14129059,19705363,17766907,16165415,11232781,11232777,15735899,10898364,10898365,15735901,15737683,10899491,10899490,15737677,21064048,21064047,21797083,24149537,25426290,254610390,23796991,17464659,12312625,8316691,5366537,3299194,254401161,8316684,12312616,17464643,21794487,15735488,10898128,7207888,7207887,10898127,15735486,17372269,12240184,12240183,11404867,7578723,4793691,2889671,1677192,1677193,2889672,4793693,7578727,11404876,10746287,10746286,15538263,21559086,20309943,20309942,255171666,37758498,31693820,24185373,24185374,256003918,61367145,49886499,49886498,270898918,261279157,262330353,263617687,274010435 Dl.O(d2) = 272829140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009513, s2 = 11174336, dlinesl.size( ) = 14 s1 = 11009557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009557, s2 = 11018106, int(edited[s2]) = 0 s1 = 11009557, s2 = 11018106, d1 = 3, d2 = 6 Dl.O(d1) = 12596734,17796198,24163980,24072389,24072390,23765840,17786810,17786808,24071206,17750686,12559535,12559534,12588739,8540800,5538801,3424185,2022930,1157673,1157674,2022931 Dl.O(d2) = 17786361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009557, s2 = 11018106, dlinesl.size( ) = 12 s1 = 13257489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11009961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11010095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11010095, s2 = 11139642, int(edited[s2]) = 0 s1 = 11010095, s2 = 11139642, d1 = 0, d2 = 7 Dl.O(d1) = 12783856 Dl.O(d2) = 32012984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11010095, s2 = 11139642, dlinesl.size( ) = 26 s1 = 11806086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11806086, s2 = 10989784, int(edited[s2]) = 0 s1 = 11806086, s2 = 10989784, d1 = 6, d2 = 5 Dl.O(d1) = 8761047,8761048,12881357,18163511,12881344,8761030,8761031,12881346,18025056,12775467,8683852,5650797,3513172,2088942,1242700,705899,398146 Dl.O(d2) = 396322,703593,1239893,2145682,3595215,3595216,5771430,5650961,3513322,2089067,1201425,1201424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11806086, s2 = 10989784, dlinesl.size( ) = 2 s1 = 11806086, s2 = 10989784, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11806086, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11010453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11010453, s2 = 11659906, int(edited[s2]) = 1 s1 = 13227032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11010769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15894252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15894252, s2 = 14036066, int(edited[s2]) = 0 s1 = 15894252, s2 = 14036066, d1 = 18, d2 = 16 Dl.O(d1) = 48408483,38502614,29938929,22575880,16392846,11409103,7581267,4795175,2890514,2890513,3461323,2052613,1177519,661057,661058,992171,1745515,1706348,969957,969959,1677783,2801643,1677807,954623,954622,991847,557962,557963,559147,993167,1668746,1668747,1668701,254071880,1668744,949509,949510,558936,558937,959264,540599,540598,558610,558609,992447,992446,1745049,1745048,993011,949349,558832,312769,172976,95164,95154,52501,52502,95157,172964,312231,312230,312827,173009,173007,312823,558890,534653,534652,534661,540554,540555,535099,300007,166172,91512,50474,50476,91519,166190,166153,91505,91504,166151,299979,535058,558798,992784,948758,534878,299882,166098,91481,50463,50464,91485,166111,299904,534927,507718,284704,284706,507725,900077,992872,992871,1133958,636245,636244,1133982,1667887,948740,534865,534868,948751,1667900,2873728,4527311,4527312,2874111,1668181,948974,948975,1668185,1668622,992877,558913,558912,992884,1746182,1984343,3372283,4767654,7536771,4976229,3005967,3005968,4976231,7536762,10996726,15865991,11341482,7839281,5032624,3046772,3046773,5032625,7916211,8478102,254356082,11739470,11341108,7536705,7536704,11341106,16299402,254239064,7536404,7536403,11340864,11249010,11249009,10759939,7503952,7503953,11302559,11015416,7292149,7292150,11015417,15855474,254129108,7916106,5032525,3046657,3046658,5032530,4974248,3004502,3004499,3004549,1744931,991532,557688,311834,311835,557694,991542,1744955,3004600,3046904,5032449,4825931,4825930,4974266,3046575,1774485,1011543,1011544,1774492,3046589,3046490,3046489,5032308,7915827,6881172,6881174,7836472,7915903,5032367,3046523,1774428,1011486,1011485,1774423,3046513,5032346,7915870,11844295,16786708,11844495,11844496,11467773,11467772,7836378,4974321,4974322,3046480,1774410,1011477,570123,570121,1011470,1774396,3046449,4974401,7836516,5032814,5032816,7836364,4974298,4974301,4974293,3004525,3004526,4668870,7390459,7836318,5033273,5033275,7917000,10438241,10438240,11737440,7836510,7836509,11409360,11844332,11844103,7915923,5032374,5032373,7915919,11844355,15734118,15734116,12132982,11019972,7295574,4601127,4601126,7295568,7915701,11020226,7295803,4601321,2768495,2768494,4601315,7292379,7501127,7915758,11737312,7836376,7391744,7391743,5032264,5032265,7915783,11844099,11737285,11467765,11020167,7295744,7295742,11016663,10815746,10815744,10743493,7292048,4598401,4598398,4602009,4602008,4603100,2813534,2813532,4669882,4601328,4601329,4599586,4599585,7293383,7207366,4541269,2729969,2729970,4541273,4601359,2768511,2768510,4601356,7295774,4601301,2768488,2768486,4601293,5481716,5481715,8480286,12517544,15896804,11467768,8163315,5233213,3193868,1869496,1869495,1605503,1066441,1066442,1869436,1606783,914027,515790,515788,914020,1606770,2770734,4599167,2766951,2766909,1603990,912121,514612,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,2769203,2603693,2603694,4347403,2766724,2766723,1604010,912134,912133,254122788,3045652,5031283,7914579,11842826,16921987,255441234,30607719 Dl.O(d2) = 64507,64509,67024,123476,224596,401536,711471,1251710,2163471,3622944,5808262,8900904,13062043,18389306,24889015,32533880,41384375,51610454,63334686,76367161,90196945,83938877,70412777,57718666,57718667,70412778,83938878,97797898,111720666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15894252, s2 = 14036066, dlinesl.size( ) = 2 s1 = 15894252, s2 = 14036066, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15894252, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 14036065, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14879148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13227528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2148316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2148316, s2 = 8011963, int(edited[s2]) = 0 s1 = 2148316, s2 = 8011963, d1 = 0, d2 = 9 Dl.O(d1) = 58434485,47059383,37167852,28650770,21408197,21408196,28650769,21427925,15435260,10670770,7047687,4435701,267883275,10670772,15435264,21427933,28676185,37198923,47094847,58434464,47059368,256736334,25329467,18749909,13348871,9121393,5968544,3732619,3732620,5968525,9121346,13348804,13893130,13892376,13336258,13336263,9533001,6253562 Dl.O(d2) = 19159558,18214664,12919221,12919224,18214673,24680337,23659309,23659308,25806968,25806970,21728789,21728788,25944869,19281366,13783326,13783329,19281375,13976650,9598690,9598691,13976652,19523748,26240953,254880102,255207648,13888613,9529952,9529950,6253740,6253001,3914733,2343459,2343458,3914802,6253563,3914825,3914822,6253634,3915137,3915134,6254229,9533930,13894025,19420131,26113046,33942278,33942279,256311645,28496919,255609574,21043212,21043322,15115308,10426046,6874041,4315182,4315180,6874031,10426009,15115244,21043223,25052228,18515327,13155297,13155299,18515330,25052232,32742519,41652216,256574152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2148316, s2 = 8011963, dlinesl.size( ) = 2 s1 = 2148316, s2 = 8011963, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 2148316, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 1317432, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11011257, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11011301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011301, s2 = 10999946, int(edited[s2]) = 0 s1 = 11011301, s2 = 10999946, d1 = 5, d2 = 11 Dl.O(d1) = 254437245 Dl.O(d2) = 2190691,3661378,5864598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011301, s2 = 10999946, dlinesl.size( ) = 14 s1 = 11011351, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11011361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011361, s2 = 4028228, int(edited[s2]) = 0 s1 = 11011361, s2 = 4028228, d1 = 11, d2 = 22 Dl.O(d1) = 255644767 Dl.O(d2) = 135149632,148322146,160594399,262018698,171793784,160594538,148322279,148322278,160594512,262969935,261485975,261485977,148322148,160594402,160594531,148322276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011361, s2 = 4028228, dlinesl.size( ) = 20 s1 = 15061061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011631, s2 = 11095068, int(edited[s2]) = 0 s1 = 11011631, s2 = 11095068, d1 = 27, d2 = 16 Dl.O(d1) = 9081584,9081587,5951629,4232422,2554625,2554624,4272718,6774844,6812046,4272658,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244042,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249291,6779080,6832234,6832235,10370041,10382360,10308311,6821090,4278939,4278937,6821046,4278909,4278908,2567073,2567077,4227582,2528228,1457040,824968,465886,262215,145338,79980,79979,145335,262203,465855,824911,1456927,2528014,2547899,4261877,6796859,6747339,4227892,4227893,6747342,6824018,4281163,2559667,1474230,1474227,2559654,4281137,5944694 Dl.O(d2) = 32995002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011631, s2 = 11095068, dlinesl.size( ) = 28 s1 = 11011703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011703, s2 = 11298146, int(edited[s2]) = 0 s1 = 11011703, s2 = 11298146, d1 = 17, d2 = 15 Dl.O(d1) = 9100945,9100946,254297134 Dl.O(d2) = 236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,835355,835356,1474153,1474149,2559487,4280863,2969509,1722984,979380,551414,551415,267897215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011703, s2 = 11298146, dlinesl.size( ) = 9 s1 = 14607492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15060269, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11011899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011899, s2 = 11068834, int(edited[s2]) = 0 s1 = 11011899, s2 = 11068834, d1 = 6, d2 = 17 Dl.O(d1) = 13383720 Dl.O(d2) = 18250310,254630044,254894463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011899, s2 = 11068834, dlinesl.size( ) = 14 s1 = 11011959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011959, s2 = 11561174, int(edited[s2]) = 0 s1 = 11011959, s2 = 11561174, d1 = 0, d2 = 11 Dl.O(d1) = 13398813 Dl.O(d2) = 25395469,269076965,91372780,271533359,261434417,272984555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011959, s2 = 11561174, dlinesl.size( ) = 12 s1 = 10868223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15362741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6481706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6455356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11806784, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11012533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11012559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012559, s2 = 10413394, int(edited[s2]) = 0 s1 = 11012559, s2 = 10413394, d1 = 7, d2 = 2 Dl.O(d1) = 9311438,6099555,3816420,3816422,6088181,3809352,2357340,1365122,777663,441306,441304,777649,777747,441325,441327,777649,1364404,2354598,3933138,3831638,2295652 Dl.O(d2) = 3837252,2298872,2298871,3837248,3837230,2298868,2298867,3837223,6133285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012559, s2 = 10413394, dlinesl.size( ) = 2 s1 = 11012559, s2 = 10413394, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11012559, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10413393, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11012571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012571, s2 = 11072594, int(edited[s2]) = 0 s1 = 11012571, s2 = 11072594, d1 = 12, d2 = 8 Dl.O(d1) = 267862669,757541,430608,243057,134352,73027,73031 Dl.O(d2) = 254302191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012571, s2 = 11072594, dlinesl.size( ) = 14 s1 = 13230122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14502278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11806890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11806890, s2 = 14310897, int(edited[s2]) = 0 s1 = 11806890, s2 = 14310897, d1 = 0, d2 = 0 Dl.O(d1) = 189899269,181024074,170907992,159582821,147227146,134010383,120177205,105976993,91782611,77860088,64670198,52755196,42355828,33367060,25602564,18990308,13551144,9276899,6076588,3802045,3802047,3825985,3829246,3829245,3825920,3825921,3828174,2293518,1330754,759898,759897,1330752,2293510,3828156,254660011,9340885,12679990,8611902,254617488,12679999,17900077,24280593,21680435,15641003,254421632,4504986,2707272 Dl.O(d2) = 189899269,181024074,170907992,159582821,147227146,134010383,120177205,105976993,91782611,77860088,64670198,52755196,42355828,33367060,25602564,18990308,13551144,9276899,6076588,3802045,3802047,3825985,3829246,3829245,3825920,3825921,3828174,2293518,1330754,759898,759897,1330752,2293510,3828156,254660011,9340885,12679990,8611902,254617488,12679999,17900077,24280593,21680435,15641003,254421632,4504986,2707272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11806890, s2 = 14310897, dlinesl.size( ) = 2 s1 = 11806890, s2 = 14310897, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11806890, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11012869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11012937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012937, s2 = 10173628, int(edited[s2]) = 0 s1 = 11012937, s2 = 10173628, d1 = 28, d2 = 21 Dl.O(d1) = 57817771,46461573,36595244,28122085,20944765,255369397,10364144,8824359,8824360,12965168,18268804,256080935,32358160,41174000,51360230,63041564,76024639,89801606,103902634,92484523,78447163,256663560,53179662,42730275,33700498,25894487,19234762,13742215,13742216,13742215,9415335,6168887,254114056,2312410,254148642,6168889,9415336,13742217,19234763,25894488,33700499,255681524,65164290,78447166 Dl.O(d2) = 78447166,92484527,106791867,92484529,92484528,106791870,106791871,92484529,92484528,106791869,121047593,130180026,116340136,102244784,88246325,74616313,268233242,40317028,40317029,41900321,52236376,268731648,43064096,38822473,30239228,25078099,18534953,13169832,8977462,8977461,13169829,18534946,25078084,32775490,41692463,52004664,62501339,62501340,52004667,52004669,63820848,52004665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012937, s2 = 10173628, dlinesl.size( ) = 30 s1 = 11012973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012973, s2 = 11166418, int(edited[s2]) = 0 s1 = 11012973, s2 = 11166418, d1 = 9, d2 = 15 Dl.O(d1) = 254661464,2313664,2313667,3862172,3862016 Dl.O(d2) = 2313560,3857166,2310848,254454413,9408526,13690939,9376311,6142332,3843296,3843294,6142328,9376299,13690918,9495268,6227644,6227643,9495265,12876401,8756955,5701401,5701353,3547628,2112605,2112602,2394528,2394523,3995737,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272034,4272033,6270886,9556737,9485304,6219981,6219982,9485305,255291599,256887655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012973, s2 = 11166418, dlinesl.size( ) = 10 s1 = 11013209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013209, s2 = 11411776, int(edited[s2]) = 0 s1 = 11013209, s2 = 11411776, d1 = 50, d2 = 43 Dl.O(d1) = 9465500,6206447,6206446,255290073,25971879,33782241,42814855,53267855,53267846,53267845,42814852,42814853,53267852,65257597,65257598,78547791,92595244,92595251,78547796,65257601,65257600,78547793,92595248,106913804,121180567,259707009,78547790,78547791,92595244,92595251,78547796,65257601,53267853,53267854,65257602,78547798,92595246,78547792 Dl.O(d2) = 259707005,92595236,106913789,106913791,121180564,261481857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013209, s2 = 11411776, dlinesl.size( ) = 40 s1 = 14184118, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11013291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013291, s2 = 14102945, int(edited[s2]) = 0 s1 = 11013291, s2 = 14102945, d1 = 24, d2 = 111 Dl.O(d1) = 9493295 Dl.O(d2) = 4041184,2421178,2421176,4041266,6443705,9803960,14265816,19917266,19739718,19739717,26509324,34440261,43628318,54270133,66443300,65299200,65299199,78596539,260324971,135133676,148307537,160580538,171780331,263380241,166964085,262115226,261036872,259850912,60998904,258231113,87386863,101371367,115427460,129331967,142678054,150148368,137083233,123330095,109120874,94854524,80788417,67318804,67318805,80788421,94854530,109120878,123330100,137083237,149692663,137083258,136459357,136459356,272765087,173104488,182972023,173092429,262117618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013291, s2 = 14102945, dlinesl.size( ) = 16 s1 = 11013407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11013479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013479, s2 = 10992824, int(edited[s2]) = 0 s1 = 11013479, s2 = 10992824, d1 = 9, d2 = 11 Dl.O(d1) = 9539820 Dl.O(d2) = 254210213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013479, s2 = 10992824, dlinesl.size( ) = 16 s1 = 10730846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15231511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11013569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013569, s2 = 11212336, int(edited[s2]) = 0 s1 = 11013569, s2 = 11212336, d1 = 0, d2 = 16 Dl.O(d1) = 9562010,13930988,254937536,43065795,53544891,61490135,268909890,62006094,50514709,40479666,31785280,24272435,256047237,35201619 Dl.O(d2) = 46475657,36609659,28135895,20957886,20957885,15048956,15048957,20957891,28135902,36609669,46475670,57831577,50012334,50012335,61490185,258020736,72596271,59858677,48467724,48467723,57831574,58018255,46645109,46645108,58018253,49242109,39315160,30716833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013569, s2 = 11212336, dlinesl.size( ) = 20 s1 = 11013597, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11013631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013631, s2 = 11069110, int(edited[s2]) = 0 s1 = 11013631, s2 = 11069110, d1 = 19, d2 = 15 Dl.O(d1) = 9587858,268037247,255708597,34083859,257256591,256697042,271608046,272429240,204073837 Dl.O(d2) = 263588604,260658298,256656967,257213227,258420659,269946324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013631, s2 = 11069110, dlinesl.size( ) = 8 s1 = 13226875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11014033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11014057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14085077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14085077, s2 = 13365825, int(edited[s2]) = 0 s1 = 14085077, s2 = 13365825, d1 = 3, d2 = 7 Dl.O(d1) = 74851928 Dl.O(d2) = 8718433,9946220,12364222,9946140,9946141,8946816,8946814,8945193,5839130,3644096,2178411,2178414,3644126,5839199,6199953,3880522,2323843,1347248,768813,768814,1347250,2323853,3880544,6199987,9456287,13790984,19289875,25954104,33762513,42291541,33311451,25549893,256135203,42291540,52677945,52877811,52877810,60752815,49349901,49349902,60752817,64797216,52877813,42473812,33480275,268827862,46824487,38742868,30160062,25868646,25868647,33674516,42704829,37438435,28897888,21622514,21476086,15473485,10699936,10699935,15473483,21476081,25349437,23156622,16895332,16895333,13536435,9266027,6069184,3797331,3797333,6069212,8108740,12060036,17156603,21475480,255502776,25569144,23429039,17151911,12055385,8105253,5193114,3168818,1855296,1058947,1058948,1855306,3168840,4379377,2622869,1513808,858080,858079,1513804,2622860,4379355,5173170,5173169,8078256,6971578,6971579,10569366,6971341,6971324,4379519,4379518,6971322,10569341,15305426,17155474,15803545,15803544,13507837,12056537,12056538,8106169,8106173,12056590,17153129,254853022,15251152,15251153,17152567,17152566,14446417,14446418,15304801,15304800,21266534,28472621,21252628,17495686,17495687,23834724,24270368,31783168,37112914,28892587,28892588,37433982,39740556,47785323,37861170,268600492,10999915,7281513,4592054,4592053,7281512,9208312,13466009,12692575,8990421,5869746,5869747,8990423,10943833,8622504,5606014,3481038,3481039,5606016,8622508,12692603,17915124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14085077, s2 = 13365825, dlinesl.size( ) = 2 s1 = 14085077, s2 = 13365825, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14085077, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11014219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11014219, s2 = 11023742, int(edited[s2]) = 0 s1 = 11014219, s2 = 11023742, d1 = 33, d2 = 23 Dl.O(d1) = 9748564,9748565,12182863 Dl.O(d2) = 57860668,48160526,38251315,38251316,39373750,30772861,30772860,39373748,47550721,37645380,37645381,29170134,21860637,15788306,15788304,21860631,29170117,37730477,42367458,42367457,50311622,61676634,60062932,48666331,38744593,30161494,30161495,30161499,28771907,28771906,37305543,40148456,31464977,23969417,17619951,12438236,12438235,254601926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11014219, s2 = 11023742, dlinesl.size( ) = 8 s1 = 11014307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11014307, s2 = 14903872, int(edited[s2]) = 0 s1 = 11014307, s2 = 14903872, d1 = 1, d2 = 40 Dl.O(d1) = 14213843 Dl.O(d2) = 17415656,18388357,18387868,18387762,13060987,8900211,8900210,8900287,8900285,13061134,9443990,9443989,13775193,19271576,16133676,16133675,19272304,19272307,24887554,18388121,13061201,13061200,18388114,18387992,18387994,13413677,13413676,18826842,25409984,25409983,18826438,16132952,16132951,22275587,16834323,16834324,11772437,11772440,16834395,23087856,23088162,23088117,16834502,16834501,23088130,23088093,23088092,30501892,39097861,30502064,23088225,16834556,11772522,7859848,7859849,11772527,13061125,18388003,19271566,18387576,13060870,13060868,16834524,22276548,29628445,27019763,20128607,14436501,13413592,9171286,9171288,13413517,9171346,6002754,6002751,9171335,13413672,16834335,16132966,11206993,11206991,16132959,11772457,7859812,4988518,3013120,1750207,1750208,3013127,4988532,7859838,11772504,16834513,23088156,23575649,23575647,31059250,32449198,41288960,39098012,39098011,256640844,36621382,28147529,28147528,32449195,41288957,48107134,38195583,29628578,22276674,16133747,11207518,11207519,16133751,22276680,29628587,38195597,48107156,59495728,72231752,85824770,99778551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11014307, s2 = 14903872, dlinesl.size( ) = 8 s1 = 15996849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16173067, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11014613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11014613, s2 = 11007006, int(edited[s2]) = 0 s1 = 11014613, s2 = 11007006, d1 = 1, d2 = 1 Dl.O(d1) = 14398599,9903913,6509526,254974955,255120312 Dl.O(d2) = 14398599,9903913,6509526,254974955,255120312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11014613, s2 = 11007006, dlinesl.size( ) = 2 s1 = 11014613, s2 = 11007006, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11014613, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14482611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13234080, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11015121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11015143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11807740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11807740, s2 = 10145933, int(edited[s2]) = 0 s1 = 11807740, s2 = 10145933, d1 = 0, d2 = 0 Dl.O(d1) = 339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614061,614060,1076061,1076224,1886328,3219196,5264166,5263543,3218734,3218733,3243839,254395103,5314429,5314428,5272238,254263871,1891757,3206599,254391231,3206579,5248882,3255431,3255427,254391783,3211799,4609296,2782560,2782561,4617405,3212944,3212943,5256804,4620451,4620453,3211790,3211791,5255514,7322791,7317738,4619656,4619658,4617699,4617701,5240790,3224053,1889849,1889851,2780711,4618006,254760357,5256977,5256975,8187451,255069553,15917527,254760215,7314093,11039688,8152205,5223344,5223345,4748122,2861472,2861474,2782893,1614233,1614235,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,7312864,11038283,7312740,7312738,11038278,12201813,11051451,11051450,11038653,11032751,11032752,12484171,8566195,7915369,5219306,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244729,8175147,5464163,3360062,3360061,5464158,5341240,3282964,1930791,1103075,1103074,254268277 Dl.O(d2) = 339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614061,614060,1076061,1076224,1886328,3219196,5264166,5263543,3218734,3218733,3243839,254395103,5314429,5314428,5272238,254263871,1891757,3206599,254391231,3206579,5248882,3255431,3255427,254391783,3211799,4609296,2782560,2782561,4617405,3212944,3212943,5256804,4620451,4620453,3211790,3211791,5255514,7322791,7317738,4619656,4619658,4617699,4617701,5240790,3224053,1889849,1889851,2780711,4618006,254760357,5256977,5256975,8187451,255069553,15917527,254760215,7314093,11039688,8152205,5223344,5223345,4748122,2861472,2861474,2782893,1614233,1614235,2782903,4621486,4618604,2781073,2781072,4618592,4619213,4619212,4618910,2781261,2781255,4618911,7316778,5222885,5222882,4621104,4621101,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,7312864,11038283,7312740,7312738,11038278,12201813,11051451,11051450,11038653,11032751,11032752,12484171,8566195,7915369,5219306,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244729,8175147,5464163,3360062,3360061,5464158,5341240,3282964,1930791,1103075,1103074,254268277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11807740, s2 = 10145933, dlinesl.size( ) = 2 s1 = 11807740, s2 = 10145933, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11807740, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7912830, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11015167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015167, s2 = 10943985, int(edited[s2]) = 0 s1 = 11015167, s2 = 10943985, d1 = 4, d2 = 8 Dl.O(d1) = 14547023,14547021,20274747,27201841,35326190,44752776,55661291,68058243,81545060,78650776,65347640,65347639,68058236,55661282,44752765,35326186,35326184,44752762,55661276,65352993,78656205,92713389,92713390,78656261,78656262,78656159,65352921,53350557,42886100,42886098,53350551,65347607,53350486,42886046,33842545,33842546,42886050,53350490,65352868,68058215,55661256,55661255,55661268,44752755,44752752,55661265,65352944,256867294,92718634,92718633,107058057,258681760,258057472,78656130,65352880,65352879,65353002,257446754,33842616,33842617,42886169,42886082,33842567,26022818,19347056,13836850,13836851,19347061,26022828,33842592,42886124,42886062,42886063,53350503,58739208,58739209,68058195,68058193,81545035,78656272,65353070,53350732,42886238,33842668,33842669,42886130,33842597,26022831,26022832,33842601,42886136,48301720,48301721,59688399,72423650,78656111,78656112,92718626,92718665,78656181,65352960,53350631,42886165,42886166,53350636,58478279,53350567,44752720,35326162,35326163,33842565,33842564,26022822,26022823,33842530,26022803,26022804,33842534,42886025,42886040,33842652,26022871,26022869,33842650,42886214,53350701,53350592,42886143,33842605,33842608,33842671,26022878,26022879,26022865,19347081,19347066,19347067,26022838,26022844,33842574,29818905,29818904,38391381,48301716,59688391,72423641,65352964,53350606,53350605,64840408,65352890,53350517,53350515,65352859,53350480,42886037,33842541,33842538,42886030,42886211,53350457,42886014,42886015,53350461,53350468,53350467,65352844,53350692,42886206,33842642,33842641,42886201,53350688,42886227,33842661,33842660,33842675,26022882,19347087,13836862,9490915,6224266,6224265,9490910,13836856,19347075,26022855,29818902,29818901,38391377,48301712,42886156,42886157,53350617,65352980,78656185,72423647,59688397,59688396,72423644,65352895,53350528,42886084,33842568,33842570,42886085,53350531,53350587,53350588,65352951,65352952,53350705,42886217,33842653,33842654,257243169,53350694,42886208,33842644,33842643,42886189,53350662,65353023,65352982,53350619,53350620,53350667,257835875,78656228,85040831,71468871,58739174,47351520,47351522,58739180,71468875,65353036,53350680,42886195,33842637,26022858,256685141,42886188,257243165,55484688,55484687,67826096,257915684,78656229,256224914,53393545,42927474,33881457,26057692,19376176,13859985,13859987,14591000,10040051,10040054,14591012,255762587,21396359,27201633,27201634,33238211,33231958,25483381,255384778,13539574,13539573,255516922,26244341,21744353,21744355,22362346,16209107,16209109,20112074,14423436,14423434,12897388,9922007,9922009,14423637,20112363,24887662,21083388,15144180,15144179,21083385,21083349,21083345,22359802,16207199,11266416,7479108,7479105,11266442,13455473,12225526,8254252,8254254,7479945,7479942,7479971,7479969,11248057,16182173,22328270,23058844,16811488,16811489,12850668,267920259,5689066,8738718,12850680,15700641 Dl.O(d2) = 5757992,8836211,12980656,18288240,23414650,30844581,32386373,24765630,24765631,31153110,23665745,23665746,31153097,23665735,17348099,12220886,12220887,17348102,23665765,23665764,31153135,39835836,39835864,32386598,24765821,22371113,22371112,29727882,38294842,32145202,24562493,24562494,21851404,21851405,24765598,24765597,32386334,32386304,32386303,41206743,41206768,51399683,41206903,32386426,32386427,41206907,51399836,63092018,76092637,268688692,51399783,269884094,51399693,61342905,49859453,39835806,31153106,31153105,39835791,31153191,23665794,23665795,31153194,31153197,31153198,39835829,39835830,49859469,51400049,51400050,51400048,51400047,59590611,59590610,51063159,40922589,32145216,32145217,256486294,37719694,41206793,41206764,32386314,24765586,24765587,32386319,41206772,51399706,41206900,41206901,51399828,63092010,76092664,85918224,85918225,76092632,76092631,76092533,63091862,63091863,73001995,257577969,48874481,60266886,73002001,86599442,100560878,104019661,89894279,257093314,63091900,63091898,60266919,48874502,48874503,60266921,73002034,86599444,73002004,73002005,76092547,63091871,51399695,51399696,63091874,76092548,89893724,104019149,100560889,100560890,89893792,76092639,63091983,51399794,51399795,63091987,76092563,63091895,51399719,41206787,41206786,48874488,48874489,60266902,63091883,63091882,76092551,89893722,76092541,76092540,85864809,85864808,79136645,65782169,53725684,43213772,34126197,34126196,30368745,22967266,22967267,30368749,30368734,30368733,38954859,48874485,60266894,73002009,86599452,73002027,60266911,48874494,38954866,38954865,48874493,60266909,73002022,84896976,71323416,58590161,47199031,47199030,58590135,47199014,47199015,58590138,71323400,84896967,73002010,60266898,60266899,73002013,63091886,63091887,76092559,89893736,81043405,81043400,67575218,67575217,81043398,73002045,60266941,48874530,38954887,30368753,22967272,16731427,11688821,11688819,16731422,22967262,30368741,38954869,48874499,60266916,73002029,81043051,95100766,85792735,81042683,67574336,55231591,55231594,44381222,44381221,55231658,67574369,71323406,58590151,47199026,47199027,58590155,60266935,48874518,38954883,38954884,48874523,50439349,61929799,55231671,44381228,44381229,44381822,39836016,31153291,31153290,35002987,44381145,55231576,67572543,81041165,71609852,71609853,85174465,81043045,67574744,55232120,55232119,55231618,44381177,35003025,35003024,35003016,26921279,20036339,20036341,26921282,35003018,44381169,55231612,67574335,67574364,67574365,81042710,67575177,55232580,55232581,67575180,70891972,58177766,58177765,66906184,55232110,44381825,44381238,257304081,44381792,44381182,35003028,255738589,14352420,9861460,9861459,14352418,20036343,20036390,20036389,26921348,256738469,55230034,44381828,35003748,35003711,26921938,20036878,20036877,20037526,20037525,26922622,35004428,44379200,44379145,35000980,26919429,26919431,35000984,35001004,44379179,44379096,35000919,35000914,35000912,35003074,26921334,26643574,26643573,26918904,26918905,26921834,26921833,26921261,26921260,35002980,31153371,31153370,26922501,26922500,35003569,35003570,35004369,35004346,35004293,26922514,26922515,26922613,20037519,20037517,26922610,31618378,26921978,20036916,20036915,17752347,17752348,20037531,20037530,20036941,14352860,14352859,20034618,14350961,14350960,20034605,20034606,26919450,35001012,35003059,26921325,20036367,14352441,9861467,9861465,14352433,20036362,26921313,26921843,20036796,20036797,26919423,26919424,35000975,44379136,44382312,35004262,33738589,33738590,26919817,26919818,35001445,44378461,44379637,44379638,44382408,35004384,35004385,31618381,24113064,17752364,12560851,8516332,8516331,12560845,17752352,24113049,31618370,40306722,44379193,35001019,35001018,35000996,26919440,26919439,35000993,44379156,55229575,44381190,35003043,26921297,20036348,20036347,26921294,20036788,14352757,9861668,9861669,14352761,20036804,26921853,35003613,44379611,35001463,33738594,25931734,25931735,20034931,20034932,20034958,26919853,35001486,35001497,44379644,55230067,50332844,40306716,31618364,24113034,17752341,12560836,12560835,17752334,24113028,31618350,35001613,35001614,44379755,54649534,43907180,43907181,44379169,44379168,55229568,55229570,44382416,35004397,35004399,35003033,26921289,26920698,26920697,35002366,26921817,20036782,20036781,26921812,35003582,44381700,44381721,55230024,44379604,35001457,26919836,26919829,20034939,20034940,20034954,26919846,35001475,44379623,55230031,55230850,61816330,50332826,40306699,31618342,24113019,17752329,17752327,20035093,14351372,14351374,20035099,26920004,35001618,44379761,55230169,67573047,81041160,81041159,81042112,67573698,55230869,55230013,44379595,35002380,26920708,20035764,20035763,26920703,35002372,35003586,44381707,55231325,44380886,44380885,44380906,55231049,55230017,44379601,35002501,26920813,20035852,20034951,20034950,20035113,26920018,35001641,44379779,55230009,44379591,35001450,35001449,26919978,26919980,31618329,31618330,26919997,26919984,26919985,26919991,35001594,44379717,55230138,67573017,81040739,81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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015167, s2 = 10943985, dlinesl.size( ) = 2 s1 = 11015167, s2 = 10943985, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11015167, Dl.E( ) = 10, 3.48e-05 seconds used appending s1 = 11015189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015189, s2 = 11297322, int(edited[s2]) = 0 s1 = 11015189, s2 = 11297322, d1 = 16, d2 = 20 Dl.O(d1) = 255763119 Dl.O(d2) = 259183959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015189, s2 = 11297322, dlinesl.size( ) = 38 s1 = 15470145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13234904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13234904, s2 = 7223901, int(edited[s2]) = 0 s1 = 13234904, s2 = 7223901, d1 = 28, d2 = 54 Dl.O(d1) = 20291929,14561147,10019751,6585615,4126107,4126108,6585586,6585589,10019705,14561090,14914829,14914831,20810618,20951820,28057683,20893966,254713634,10263579,6744291,4226025,4226024,6744289,10263573,14925800,20823885,27988512,22724175,16518982,11512319,7658232,4845546,4137128,2474626,1430351,813679,813678,1430347,2474614,4137102,6604241,10050357,14605926,16297162,11339039,11338250 Dl.O(d2) = 236064731,235129714,234101338,232971414,266359111,235129713,274633558,231723223,230333906,228770860,226996075,224960835,222617584,274194618,212751999,264222288,263157052,178015416,178015417,167547332,155935457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13234904, s2 = 7223901, dlinesl.size( ) = 2 s1 = 13234904, s2 = 7223901, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13234904, Dl.E( ) = 56, 2.5e-05 seconds used appending s1 = 11015505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015505, s2 = 11361614, int(edited[s2]) = 0 s1 = 11015505, s2 = 11361614, d1 = 21, d2 = 13 Dl.O(d1) = 268064796,827034,1461041,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,254705403,6806100,10338952,6816335,4275546,4275545,5945638,6821771,4279420,267879011,6767017,6759173,4235595,2532379,1459284,826102,466448,263181,263182,467850,829109,1465203,2543196,254483175,10315907,14984191,15046265,10373472,6835158,4288702,4288701,6829586,6829585,10366958,15024176,15024175,15034381,18993209,13553676,9278855,9278854,6756569,4233940,2531470,1458825,1458827,2531476,4233951,6756554,6756553,6808834,6782804,4251873,2541855,2541854,4251864,6782787,8124345,5204960,3175591,1858987,1061120,1061121,835945,471100,471104,835962,1478840,2568566,4296324,6847054,10389160,256824485 Dl.O(d2) = 270277381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015505, s2 = 11361614, dlinesl.size( ) = 8 s1 = 11015525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015525, s2 = 14981366, int(edited[s2]) = 0 s1 = 11015525, s2 = 14981366, d1 = 1, d2 = 2 Dl.O(d1) = 14963482,20865615,14974316,14974315,20876341,21912101,15829863,15042634,15042637,20951419,25281330,28111309,27993822,20829518,20829520,21912082,21912083,17196321,17196322,18708606,18708605,19542535,23479076,18697454,18697453,18708746,25281406,21015763,21015762,23479005,17196212,12092030,8131798,5209874,254576261,12092026,17196206,23134081,23134082,23479111,17196292,17196293,23479116,28976032,25281296,18708655,18708653,24252538,24252539,31764290,29465213,22130439,22130438,29465206,38027288,44832479,44832478,55740370,49443385,39512094,30903978,23469489,17188907,17188906,23469483,30903963,39512075,47064488,39511904,39511906,49443214,49460290,49412113,47719058,47719059,47719056,39511883,30903826,30903827,39511850,39511861,31040319,23558206,17248855,17248852,23558194,31040302,39717669,37383056,28843212,28843213,37383063,47292218,39511970,30903889,23469442,17188891,12086430,12086431,10316874,10316872,14985073,16015364,22130190,29464981,33038660,29464883,29464884,29471825,29471823,30903799,30651564,29464759,29464760,37798421,37798420,47719052,47940751,38027077,256429779,30083106,38660371,48576209,50922407,257391987,256275809,14985087,10316877,10316878,14985089,255788861,36523432,29464702,22129937,22129936,22130099,16015293,11119718,7375537,7375538,11119724,16015304,22130118,29464777,22130004,16015226,16015227,22130008,22701203,16497633,16497632,22701200,29465131,24478482,18056581,16015145,16015143,16015180,18056606,24478509,32043273,28843203,21571733,15549067,15549066,16015373,11119776,7375580,7375582,11119780,16015381,22130223,29464908,25507288,25507287,29464748,22129994,22129995,29464755,29464854,22130073,16015279,16015280,15548987,10754047,7104863,4473119,4473122,4659778,4659679,2807316,1628596,926057,926055,1628591,2807308,4659654,7375561,6028122,3771234,2259617,2259616,3771229,6028112,9207945,12680882,12680881,16015535,16015463,15549093,10754115,7104896,7104897,10754118,11119922,11119921,12046488,11119657,7375886,4659825,4659823,7375877,11120219,16015918,12046481,8098766,8098764,12046476,15549226,10754208,7104948,7104947,10754204,15549220,10956232,7251600,4572936,2750959,1594596,1594597,2750963,4572944,2808484,1629260,1629259,2808482,4661754,4660198,4660201,4660073,4660071,7376299,11120881,16016744,255887491,38029687,46998728,46998729,58369080,71085582,70804995,70804994,72255672,257837640,38224766,29658630,29658629,33066460,33066461,42010630,49790265,39770507,39770506,49790259,260699987 Dl.O(d2) = 262325579,155446842,155446843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015525, s2 = 14981366, dlinesl.size( ) = 2 s1 = 11015525, s2 = 14981366, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11015525, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 11015601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16201839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11015727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015727, s2 = 11234896, int(edited[s2]) = 0 s1 = 11015727, s2 = 11234896, d1 = 0, d2 = 6 Dl.O(d1) = 10348611,10348612 Dl.O(d2) = 10348613,256280825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015727, s2 = 11234896, dlinesl.size( ) = 14 s1 = 11015753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040021, s2 = 11015842, int(edited[s2]) = 0 s1 = 14040021, s2 = 11015842, d1 = 10, d2 = 9 Dl.O(d1) = 19100598,19100599,25733134 Dl.O(d2) = 33512300,36994255,28496773,28496774,36994256,36994254,36994253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040021, s2 = 11015842, dlinesl.size( ) = 6 s1 = 11807956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11807956, s2 = 13265995, int(edited[s2]) = 0 s1 = 11807956, s2 = 13265995, d1 = 38, d2 = 41 Dl.O(d1) = 10248563,10248562,10248547,6733685,4218806,4218807,6733689,10248557,14905492,17188665,23469139 Dl.O(d2) = 36976143,36976144,257427539,58222457,70939549,84503537,98425151,112413846,126276911,139647322,152368078,141671292,128321551,114444919,114444918,128321550,128321556,114444922,114444921,128321554,114444924,100420572,86463817,72868445,60131720,256186042,86463816,100420570,114444917,128321548,141671290,154323690,166073243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11807956, s2 = 13265995, dlinesl.size( ) = 2 s1 = 11807956, s2 = 13265995, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11807956, Dl.E( ) = 42, 1.5e-05 seconds used appending s1 = 11016043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016043, s2 = 11186166, int(edited[s2]) = 0 s1 = 11016043, s2 = 11186166, d1 = 0, d2 = 11 Dl.O(d1) = 10424622,10424623,15113353,20288112,254563890 Dl.O(d2) = 256474320,85033292,98958227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016043, s2 = 11186166, dlinesl.size( ) = 8 s1 = 11016087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7608874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7608874, s2 = 11053627, int(edited[s2]) = 0 s1 = 7608874, s2 = 11053627, d1 = 0, d2 = 0 Dl.O(d1) = 269305008,28307244,36804089,36804207,28307356,21097694,21097692,28307346,255903387,22320622,29671966,256941829,29778125,29778126,38350303,48261227,59648490,71359783,71359778,58622846,47229912,37321042,28784878,28784876,33068507,30650964,268111312,16161288,16161287,22022170,29353402,28762501,21502740,21502741,28636959,37152226,46425062,36560863,36560862,28090900,20916854,15010890,15010888,20916850,28090895,33644045,33644046,37992736,29470530,29470528,28636981,21396923,20917024,20917025,28091098,22098939,15989732,15989730,22098935,29430556,37992732,47908885,37992937,37992938,47909074,48860695,38941141,30354916,30354917,29430552,29430551,37992730,38941145,38033563,30354926,22953101,22953102,22953176,22953175,22134891,16018915,11122280,7377174,7377175,11122283,16018919,22134902,29470805,37127362,37127361,38033641,29470855,29470856,29470765,29430397,22098827,22098828,29430399,28090969,28090971,36560932,46425129,38033146,268918119,28616098,21379977,21379978,28616103,22953147,16716465,11674663,7783581,4933805,4933806,7783587,11674679,11122151,7377095,7377096,4660571,4660560,4660551,2807816,2807817,4660586,7377157,11122251,16018861,16018923,22134911,29470824,29470668,29470667,37127320,28616094,28616093,37127312,29430516,29430515,29470849,22134929,22134931,29470725,29470724,38033519,46425267,46425268,57780241,47946807,38032935,38032915,29470123,29470124,38032919,47908879,48860743,38941206,30354979,22953134,22953133,30354975,38033083,29470306,29470304,38033079,47946894,59338695,48860729,48860728,46591699,46591700,57968024,48860778,38941258,38941257,48860774,38948252,38948251,48867995,60261017,71912008,70841060,58126634,46758275,46758276,58126639,70764198,58045270,58045269,70764196,59338824,59338826,48136926,48136927,59524125,72257892,72989158,60253586,60253587,60261021,48868000,48868001,57967984,57780217,46425251,46425252,57780223,60253597,72989166,70825440,257409858,85660369,72073169,60567916,49168858,49168859,57968021,57968020,49913314,39893288,31215933,23731438,23731439,31215938,39893295,39893316,31215954,31215953,256913521,37852388,47775520,59174249,70706318,59174261,47775530,37852404,36783284,28286509,28286510,36783289,46669911,57967999,57967998,58045259,57968017,46591696,36704825,28213572,28213571,36704823,46591694,57968012,70685973,58110133,58110134,70825395,59174234,58268568,58110128,46740025,46740024,58110126,49913243,39893200,31215865,23731391,23731392,31215869,39893208,46740014,36858432,28360456,28360455,21958729,21958730,29284306,37852395,37852384,29284293,21958722,21958721,29284291,37852381,47775468,37852337,29284250,29284249,37852335,46743389,46902810,37025113,37025111,46902807,57989181,46612951,36725448,36725447,46612950,37024950,31215870,28528238,28528240,37026218,46903704,58110123,46740020,36858437,36858436,39893239,39893240,49913281,58268572,70983458,84546546,84546469,84257764,70706382,70706381,84257762,259279335,70825411,58110155,58110156,70825415,58268462,46902665,46902666,46902659,46902658,58268306,46902436,37024733,28526762,28526763,28526769,28526768,268604932,58110269,46740176,46740177,58110275,70825470,58110221,46740146,46740144,58110218,70825466,84383318,98292235,112273850,112273848,101752779,87779181,87779182,84383336,84383337,98292245,97983429,97983431,86410791,86410790,84383353,70825512,70825513,70825506,58110255,58110254,58110249,58110250,70825501,84238462,70706220,70706222,70687082,70687081,70685853,57967850,57967849,58110233,70825483,84238404,70685762,70685763,84238409,98133221,84238451,70685870,70685871,84238453,85783987,72189906,258017875,57967917,61393604,258212788,84397928,84383350,84383349,70841029,58126555,46758186,46758185,57969261,46592990,46592991,57969265,57967774,57967772,60761742,73426465,70687178,70687176,70685757,70685758,58126661,46758303,46758302,58126658,70841020,58126537,46758177,46758179,58126539,58126644,57969385,46593070,256290059,21020681,21020678,28214710,36706133,46593061,57969368,70687185,84239570,98133249,87129758,84240273,73425325,73425323,84239560,84239520,70687094,57969270,46593002,36706094,28214691,21020671,21020670,23328680,17062328,15097562,15097559,21020682,28214719,36706153,46593093,57969411,70687220,84239583,70825425,58110170,58110171,58126611,60678580,49277523,49277521,60678575,73426472,84398318,70841002,58126512,46758162,46758163,58126516,57969332,46593042,46593043,57969343,70687162,70687198,70687197,70841024,58126546,49277651,49277650,46593064,46593065,49789250,49277660,39350959,30750732,23328701,17062338,11970668,8014558,5102976,5102977,8014561,11970670,17062343,23328713,30750758,39351006,49277716,57969321,57969320,258027905,72996711,70687988,70687987,71943868,60678557,49277504,268426408,60678622,60678623,60678670,60678669,70840992,70840991,70687225,57969417,46593097,46593098,49276100,39349520,39349521,49276106,60677249,60678532,49277486,255978178,60678938,52388221,42044138,42044139,49277685,46591492,36704658,36704659,46591505,57967829,60678719,52388313,42044208,33096120,33096119,42044200,39259314,30663528,254130410,11894439,11894437,16980949,23246572,30663520,39259302,49185128,60585070,73329232,86939716,91313914,105531961,115113820,101039655,101039654,255978218,86939703,86939665,73329168,60585000,60584999,73329166,255530878,46673374,46673330,46673332,57975571,57975560,57975561,50180536,50180537,61665803,70694783,70694778,258212720,257024642,255978212,36711293,36711292,46599547,57976689,70694768,74449743,61665836,50180572,50180571,61665833,70693657,70693658,74818795,62021835,50529737,40493990,31798863,31798862,40493988,50529732,268426436,57970916,57976923,46599737,46599736,57976918,70694963,84246871,84240333,70688046,57970229,46593800,46593799,57970227,70688044,84240330,258835506,57970900,258018105,84240915,269888245,269845060,88452284,102456057,270280308,112094399,259269758,98140560,84246853,84246854,87043406,73425588,60677569,60677570,73425592,73425653,87043449,88452286,87692060,87692059,98140513,98140471,98140472,87044253,73426799,73426798,85846159,72254787,72254786,85846156,84240319,70688037,57970221,57970222,70688040,84240322,86851584,98134789,85127668,84240300,71557144,71557143,71138963,70692703,70692702,84244657,98134798,98134797,98140350,98140351,112094020,98134803,84240354,84240355,98134809,101039483,101039481,95236107,95236108,87043397,73425582,73425585,87043402,98134756,84240246,84240248,74084743,70694894,70694893,72299962,72299961,84240363,258212822,59521056,59521033,59521034,72254764,59521010,59521011,49088828,49088829,57970297,46593874,256940605,29658082,29658083,29658065,22306173,22306171,29658057,30561797,23144720,16884604,16884602,23144711,30561786,37244669,36706009,28214617,21020625,21020624 Dl.O(d2) = 269305008,28307244,36804089,36804207,28307356,21097694,21097692,28307346,255903387,22320622,29671966,256941829,29778125,29778126,38350303,48261227,59648490,71359783,71359778,58622846,47229912,37321042,28784878,28784876,33068507,30650964,268111312,16161288,16161287,22022170,29353402,28762501,21502740,21502741,28636959,37152226,46425062,36560863,36560862,28090900,20916854,15010890,15010888,20916850,28090895,33644045,33644046,37992736,29470530,29470528,28636981,21396923,20917024,20917025,28091098,22098939,15989732,15989730,22098935,29430556,37992732,47908885,37992937,37992938,47909074,48860695,38941141,30354916,30354917,29430552,29430551,37992730,38941145,38033563,30354926,22953101,22953102,22953176,22953175,22134891,16018915,11122280,7377174,7377175,11122283,16018919,22134902,29470805,37127362,37127361,38033641,29470855,29470856,29470765,29430397,22098827,22098828,29430399,28090969,28090971,36560932,46425129,38033146,268918119,28616098,21379977,21379978,28616103,22953147,16716465,11674663,7783581,4933805,4933806,7783587,11674679,11122151,7377095,7377096,4660571,4660560,4660551,2807816,2807817,4660586,7377157,11122251,16018861,16018923,22134911,29470824,29470668,29470667,37127320,28616094,28616093,37127312,29430516,29430515,29470849,22134929,22134931,29470725,29470724,38033519,46425267,46425268,57780241,47946807,38032935,38032915,29470123,29470124,38032919,47908879,48860743,38941206,30354979,22953134,22953133,30354975,38033083,29470306,29470304,38033079,47946894,59338695,48860729,48860728,46591699,46591700,57968024,48860778,38941258,38941257,48860774,38948252,38948251,48867995,60261017,71912008,70841060,58126634,46758275,46758276,58126639,70764198,58045270,58045269,70764196,59338824,59338826,48136926,48136927,59524125,72257892,72989158,60253586,60253587,60261021,48868000,48868001,57967984,57780217,46425251,46425252,57780223,60253597,72989166,70825440,257409858,85660369,72073169,60567916,49168858,49168859,57968021,57968020,49913314,39893288,31215933,23731438,23731439,31215938,39893295,39893316,31215954,31215953,256913521,37852388,47775520,59174249,70706318,59174261,47775530,37852404,36783284,28286509,28286510,36783289,46669911,57967999,57967998,58045259,57968017,46591696,36704825,28213572,28213571,36704823,46591694,57968012,70685973,58110133,58110134,70825395,59174234,58268568,58110128,46740025,46740024,58110126,49913243,39893200,31215865,23731391,23731392,31215869,39893208,46740014,36858432,28360456,28360455,21958729,21958730,29284306,37852395,37852384,29284293,21958722,21958721,29284291,37852381,47775468,37852337,29284250,29284249,37852335,46743389,46902810,37025113,37025111,46902807,57989181,46612951,36725448,36725447,46612950,37024950,31215870,28528238,28528240,37026218,46903704,58110123,46740020,36858437,36858436,39893239,39893240,49913281,58268572,70983458,84546546,84546469,84257764,70706382,70706381,84257762,259279335,70825411,58110155,58110156,70825415,58268462,46902665,46902666,46902659,46902658,58268306,46902436,37024733,28526762,28526763,28526769,28526768,268604932,58110269,46740176,46740177,58110275,70825470,58110221,46740146,46740144,58110218,70825466,84383318,98292235,112273850,112273848,101752779,87779181,87779182,84383336,84383337,98292245,97983429,97983431,86410791,86410790,84383353,70825512,70825513,70825506,58110255,58110254,58110249,58110250,70825501,84238462,70706220,70706222,70687082,70687081,70685853,57967850,57967849,58110233,70825483,84238404,70685762,70685763,84238409,98133221,84238451,70685870,70685871,84238453,85783987,72189906,258017875,57967917,61393604,258212788,84397928,84383350,84383349,70841029,58126555,46758186,46758185,57969261,46592990,46592991,57969265,57967774,57967772,60761742,73426465,70687178,70687176,70685757,70685758,58126661,46758303,46758302,58126658,70841020,58126537,46758177,46758179,58126539,58126644,57969385,46593070,256290059,21020681,21020678,28214710,36706133,46593061,57969368,70687185,84239570,98133249,87129758,84240273,73425325,73425323,84239560,84239520,70687094,57969270,46593002,36706094,28214691,21020671,21020670,23328680,17062328,15097562,15097559,21020682,28214719,36706153,46593093,57969411,70687220,84239583,70825425,58110170,58110171,58126611,60678580,49277523,49277521,60678575,73426472,84398318,70841002,58126512,46758162,46758163,58126516,57969332,46593042,46593043,57969343,70687162,70687198,70687197,70841024,58126546,49277651,49277650,46593064,46593065,49789250,49277660,39350959,30750732,23328701,17062338,11970668,8014558,5102976,5102977,8014561,11970670,17062343,23328713,30750758,39351006,49277716,57969321,57969320,258027905,72996711,70687988,70687987,71943868,60678557,49277504,268426408,60678622,60678623,60678670,60678669,70840992,70840991,70687225,57969417,46593097,46593098,49276100,39349520,39349521,49276106,60677249,60678532,49277486,255978178,60678938,52388221,42044138,42044139,49277685,46591492,36704658,36704659,46591505,57967829,60678719,52388313,42044208,33096120,33096119,42044200,39259314,30663528,254130410,11894439,11894437,16980949,23246572,30663520,39259302,49185128,60585070,73329232,86939716,91313914,105531961,115113820,101039655,101039654,255978218,86939703,86939665,73329168,60585000,60584999,73329166,255530878,46673374,46673330,46673332,57975571,57975560,57975561,50180536,50180537,61665803,70694783,70694778,258212720,257024642,255978212,36711293,36711292,46599547,57976689,70694768,74449743,61665836,50180572,50180571,61665833,70693657,70693658,74818795,62021835,50529737,40493990,31798863,31798862,40493988,50529732,268426436,57970916,57976923,46599737,46599736,57976918,70694963,84246871,84240333,70688046,57970229,46593800,46593799,57970227,70688044,84240330,258835506,57970900,258018105,84240915,269888245,269845060,88452284,102456057,270280308,112094399,259269758,98140560,84246853,84246854,87043406,73425588,60677569,60677570,73425592,73425653,87043449,88452286,87692060,87692059,98140513,98140471,98140472,87044253,73426799,73426798,85846159,72254787,72254786,85846156,84240319,70688037,57970221,57970222,70688040,84240322,86851584,98134789,85127668,84240300,71557144,71557143,71138963,70692703,70692702,84244657,98134798,98134797,98140350,98140351,112094020,98134803,84240354,84240355,98134809,101039483,101039481,95236107,95236108,87043397,73425582,73425585,87043402,98134756,84240246,84240248,74084743,70694894,70694893,72299962,72299961,84240363,258212822,59521056,59521033,59521034,72254764,59521010,59521011,49088828,49088829,57970297,46593874,256940605,29658082,29658083,29658065,22306173,22306171,29658057,30561797,23144720,16884604,16884602,23144711,30561786,37244669,36706009,28214617,21020625,21020624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7608874, s2 = 11053627, dlinesl.size( ) = 2 s1 = 7608874, s2 = 11053627, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 7608874, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11016201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016201, s2 = 13996728, int(edited[s2]) = 0 s1 = 11016201, s2 = 13996728, d1 = 11, d2 = 9 Dl.O(d1) = 15171705,21118662,22832679,29577972,26159158,19459544,19459543,17535865,17535863,22820109,22820110,22974348,17595317,17595320,23939273,29746181,22386825,16228444,16228445,22386828,29746186,38314896,40061575,31378831,23881920,23881919,31378826,40061568,50082973,257845969,43059338,34000910,34000909,43059337,53538752,65563311,74340772,70795859,58078648,46706910,36824779,36824781,46706911,50082682,40061296,40061297,257252629,34000900,34000899,43059321,53538729,257866242,71524656,71524622,58795326,58795327,71524624,73262011,73262012,74763523,61963281,53180504,50536034,48150472,46868706,46868707,58236402,70953479,71524638,58795354,58795355,61423833 Dl.O(d2) = 50467434,59537096,256399996,29676570,29676569,38241348,48150408,59537094,49748649,49748647,46741374,46586883,46586884,57963468,47939539,38025755,38025754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016201, s2 = 13996728, dlinesl.size( ) = 2 s1 = 11016201, s2 = 13996728, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11016201, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11016347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016347, s2 = 11298732, int(edited[s2]) = 0 s1 = 11016347, s2 = 11298732, d1 = 13, d2 = 12 Dl.O(d1) = 10496208,10496209,255813973,256841841,258030235 Dl.O(d2) = 263482959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016347, s2 = 11298732, dlinesl.size( ) = 14 s1 = 11016403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11016453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016453, s2 = 11140668, int(edited[s2]) = 0 s1 = 11016453, s2 = 11140668, d1 = 9, d2 = 7 Dl.O(d1) = 10520966,6938386,4360096,4360095,6938385,6938699,4360335,4360334,6938698,10521285,15250861,21205999,15239749,15239750,12684587,8615940,5600653,5600310,3476305,3476304,5600306,8615479,10574979,6975386,6975385,10574975,10512912,6932487,6932486,10512909,15239761,12684599,8615949,5600660,3476549,254877697,17905189,17904634,15250743,254221968,5378602,5378601,257067023 Dl.O(d2) = 87878654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016453, s2 = 11140668, dlinesl.size( ) = 12 s1 = 11016537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016537, s2 = 11214328, int(edited[s2]) = 0 s1 = 11016537, s2 = 11214328, d1 = 13, d2 = 7 Dl.O(d1) = 15271372,21239431,28463084,36962642,268380142,23917055,17574900,12403061,12403062,17099708,17099705,23368103,25893711,19234060,19234061,25893713,25755019,19116847,19116846,25755017,256667409 Dl.O(d2) = 78248980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016537, s2 = 11214328, dlinesl.size( ) = 14 s1 = 11016571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016571, s2 = 14184386, int(edited[s2]) = 0 s1 = 11016571, s2 = 14184386, d1 = 0, d2 = 4 Dl.O(d1) = 10551929,6959339,4372560,4372561,6959343,6841338,4292696,4292698,6841340,10381556,15055773,15268632,17155345,12058803,8107879,8107878,6561348,4110527,2458778,2458782 Dl.O(d2) = 12067471,17163793,17571572,12399654,8379838,8379839,9241186,6069098,6069099,9265905,11341812,7537252,4768095,2874462,1668544,949324,949326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016571, s2 = 14184386, dlinesl.size( ) = 2 s1 = 11016571, s2 = 14184386, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11016571, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14184385, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11016635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016635, s2 = 10978234, int(edited[s2]) = 0 s1 = 11016635, s2 = 10978234, d1 = 19, d2 = 15 Dl.O(d1) = 10576583,10576582,256850311,268480882 Dl.O(d2) = 254636986,20203222,14496866,9974999,6555958,5899678,3685160,2205905,2205907,3682665,3682663,3551974,3551973,3617581,2199849,1278079,731145,731141,1278066,2199826,254288060,9015246,13223646,18605732,25163626,19218559,13727821,9403820,6160980,3854973,2309645,2309644,3854971,6160976,9403812,13727805,19218538,25877833,33684273,33684259,33684260,42714343,52095745,63914421,75694299,257147560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016635, s2 = 10978234, dlinesl.size( ) = 14 s1 = 10452672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11016645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016645, s2 = 11262004, int(edited[s2]) = 0 s1 = 11016645, s2 = 11262004, d1 = 12, d2 = 10 Dl.O(d1) = 10578324,6977979,4384050,2626050,2626048,4384042,6977960,255027771,268380879,23057695,23057696,24970199,268206620,10496326,10496327,10626243,15377454,21354061,268382580,14930584,10267359,10267360,12344700,10327787,6796311,4261501,2547703,1467682,1467638,254219025,268063543,258628879 Dl.O(d2) = 271989291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016645, s2 = 11262004, dlinesl.size( ) = 14 s1 = 14498543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11016867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15090085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15090085, s2 = 14917467, int(edited[s2]) = 0 s1 = 15090085, s2 = 14917467, d1 = 12, d2 = 15 Dl.O(d1) = 72224293,59488404,59488405,72224294,85816890,99769788,113783075,127650656,140998543,153664698,165444890,176126501,185590694,193849577,193849575,193849576,200929598,206902740,273990877,206902739,211836889,215867540,219201408,222015183,224431317,226529730,228358087,229963152,231387417,232664089,233817871,234867659,234445864,233357525,232156879,230826517,229337951,227659251,225743667,223546363,221011253,218046777,214511684,210211691 Dl.O(d2) = 256676118,19116811,13648890,9346294,9204427,9204429,9346318,9346317,9204426,9204429,9346318,9346317,12453034,12453035,13650752,13650751,18887241,25491263,25758098,25758097,25735665,25735664,25757950,25757939,268306608,25735670,19102929,255683597,33514970,255289304,22706316,22706315,30088245,38665627,33241066,25491315,25491316,33241068,28566694,28566693,268506226,46948235,42366015,33377165,33377163,254940782,254454316,33241135,30088229,22706298,16502232,11498484,11498485,16502235,22706306,21339509,15365417,10616346,7005823,7005822,10616344,15365410,21339501,28566682,254943890,42559955,38665713,30088310,30088309,38665712,33546761,33546760,42563150,48306208,53003061,42563158,33546850,27972155,20808807,14913461,10254577,10254576,10676166,7051726,4438616,4438614,7051722,10676158,15442385,255558363,28687205,37211574,39925969,31250397,31250396,39925966,49943691,61421697,60639914,60639915,258209913,39312494,39312489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15090085, s2 = 14917467, dlinesl.size( ) = 2 s1 = 15090085, s2 = 14917467, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15090085, Dl.E( ) = 20, 2.48e-05 seconds used appending s1 = 11017029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017029, s2 = 11036722, int(edited[s2]) = 0 s1 = 11017029, s2 = 11036722, d1 = 300, d2 = 38 Dl.O(d1) = 10639549,7023884,7023883,255032495,21376154,15428084,10665591,7043910,7043909,10665588,10869488,254510133,2721596,1577085,896644,505847,505852,896646,1577089,2721608,4527532,4527531,7186563,10869471,10869849,10869847,10869846,15702111,11145116,254235540,254524920 Dl.O(d2) = 47995596 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11017377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017377, s2 = 11120038, int(edited[s2]) = 0 s1 = 11017377, s2 = 11120038, d1 = 24, d2 = 12 Dl.O(d1) = 258058531,44383270 Dl.O(d2) = 17969398,17969397,18250753,12947788,12947789,18250757,17876373,17876372,24253991,25046495,18510630,255639755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017377, s2 = 11120038, dlinesl.size( ) = 24 s1 = 11017407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017407, s2 = 14083242, int(edited[s2]) = 0 s1 = 11017407, s2 = 14083242, d1 = 9, d2 = 9 Dl.O(d1) = 254501680,1546959,879268,879269,1499905,850083,480104,480106,850086,254222541,4342915,6914541,10487213,15204340,21160681,21454515,268607837,28709410,21454520,21454513,15455745,10686415,7059541,4444551,2669938,254335125,7059543,10686418,15455747,21454515,268607837,28709410,21454520,21454513,15455745,15455744,21454510,28709405,37240172,47145472,268921758,47145470,58122570,58122569,58122568,46754067,36874903,36874904,46754069,268921758,47145470,58122570,46754068,36874903,36874904,46754069,268921758,47145470,58122565,46754065,36874902,28378069,21160680,21160679,28378066,36874901,46754064,58122562,258028917,270801111,70836956,58122567,58122566,58122561,58122560,256974426,47148896,37243612,37243613,258163985,84842685,71268792,58537200,47148896,258684747 Dl.O(d2) = 254501680,1546959,879268,879269,1499905,850083,480104,480106,850086,254222541,4342915,6914541,10487213,15204340,21160681,21454515,268607837,28709410,21454520,21454513,15455745,10686415,7059541,4444551,2669938,254335125,7059543,10686418,15455747,21454515,268607837,28709410,21454520,21454513,15455745,15455744,21454510,28709405,37240172,47145472,268921758,47145470,58122570,58122569,58122568,46754067,36874903,36874904,46754069,268921758,47145470,58122570,46754068,36874903,36874904,46754069,268921758,47145470,58122565,46754065,36874902,28378069,21160680,21160679,28378066,36874901,46754064,58122562,258028917,270801111,70836956,58122567,58122566,58122561,58122560,256974426,47148896,37243612,37243613,258163985,84842685,71268792,58537200,47148896,258684747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017407, s2 = 14083242, dlinesl.size( ) = 2 s1 = 11017407, s2 = 14083242, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11017407, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11017413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017413, s2 = 14125372, int(edited[s2]) = 0 s1 = 11017413, s2 = 14125372, d1 = 20, d2 = 13 Dl.O(d1) = 270812774 Dl.O(d2) = 206407264,262662516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017413, s2 = 14125372, dlinesl.size( ) = 20 s1 = 11017545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017545, s2 = 11024768, int(edited[s2]) = 0 s1 = 11017545, s2 = 11024768, d1 = 10, d2 = 1 Dl.O(d1) = 268209443,58620444 Dl.O(d2) = 257112572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017545, s2 = 11024768, dlinesl.size( ) = 12 s1 = 11017553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017553, s2 = 1130676, int(edited[s2]) = 0 s1 = 11017553, s2 = 1130676, d1 = 7, d2 = 7 Dl.O(d1) = 254518516,2680555,1552743,882821,498158,498157,288811,160048,160047,150108,82573,82571,150101,270769,481094,851763,911791,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288892,289441,289285,160111,88123,48498,48497,88119,88110,88112,160083,289173,515287,254122765,912370,1604392,1606633,1606634,2770518,2769784,1869313,1066365,1066366,1869314,3193601,5232885,4603759,4600615,2768020,1604776,1604775,1134042,636277,353348,353347,636275,1134039,1985084,2769669,267888019,7294895,254758439,4602962,2769868,1606156,913556,515485,515483,913549,884285,498995,498997,523057,298691,298690,532486,927831,1555422,2685140,1632051,1632049,2813124,2729154,1581207,898855,523135,293187,162149,162147,293181,523126,928134,1632099,2813183,4540519,2729902,1581806,899263,884274,884275,1555335,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,1555392,884313,498987,279840,154464,84660,84661,154472,279860,319355,522970,927847,1631679,2812696,4469157,7098150,5033031,3374004,3047397,1775295,1012200,1012199,1775292,2685198,254504439,4476087,4476086,5032300,267836359,1774318,1011421,1011422,884369,884368,1012035,570450,570455,1012003,1774195,2765610,1603095,1011974,570416,570418,1011980,1775060,2813018,1774907,1011853,1011855,1774914,3047042,5032919,4469143,267884201,3046703,3046702,3046277,1774211,1774210,1774630,1011627,570208,319382,319383,319453,570336,1011805,1631985,1985557,3372379,3372378,2712824,254339589,7168633,10844044,15664966,21706798,21706359,15664611,10843782,7168466,7168468,7168518,10843874,10843884,15662810,10842654,10842657,10842975,15662803,10843516,10843514,15663329,15662935,10842768,7167876,4514491,2712615,1571365,893407,893408,1571371,2712624,4514503,7167889,10842755,13346027,9119313,9119314,13346034,10842951,7167979,7167980,10842624,15662761,21703858,21925111,28902187,21627569,15596691,15596689,16884589,23144691,28876046,21704749,21704748,21706328,15664605,15664593,15664594,15664732,15664749,15662820,10842663,7167816,7167817,7167989,10842971,15662800,10843090,10843089,10842720,10842719,10842751,7167862,4514480,2712608,2712600,2712599,4514456,7167804,7167884,10842783,15663006,18746091,13346016,13346017,18746097,15663345,15662772,10842629,10842630,15662780,21703891,28987382,37441835,28902174,21627561,21627562,28902179,28988748,28987547,21704008,21704007,28987543,28990433,21706333,21706334,21704030,15662860,10842683,7167827,4514465,4514466,7167833,10842690,15662887,15663557,15663558,21703955,21703954,15663000,10842744,10842743,10842712,10842618,7167796,7167797,10842638,10842775,15663033,21704260,21704264,18746080,18746081,25325028,28988452,28987356,21703865,21703866,21703881,28987370,37532181,47348630,37441827,28902168,28902166,37441817,37532341,28987536,21704002,21704003,28987540,37532349,28987571,28987572,23161232,21704024,21704023,21703943,15662832,15662831,15662873,21704059,28987609,28988759,28988758,37532226,28987779,28987776,28987658,21704113,15662916,15662914,21703904,15662787,15662788,21703910,28987404,37532145,33053574,33053570,33053571,41997078,37533220,37532164,37532163,47440295,49106269,58826887,71554721,71465951,58736348,47348612,39094280,37532410,37532411,37532334,37532332,47440485,49106443,49106427,39176090,30578321,28987514,28987516,28987526,28987432,21703938,21703937,28987428,30784308,37532160,37532159,37532382,28987566,28987568,37532389,37532459,28987647,21704100,21704098,28987641,28987395,28987396,30578371,37532211,47440367,52336243,49106304,49106300,49106299,47440351,47440349,49106319,49106272,49106273,58826958,58826957,49106412,49023226,39094287,30498462,30498463,39094292,47440477,47440478,49106450,39176113,30578342,23161341,23161331,23161330,28987509,37532305,37532246,37532247,30747519,23326012,23325994,23325991,23325999,30747492,37532375,37532374,39347175,39347176,37532444,28987635,28987636,37532450,47440344,47440343,42697861,42697860,53148480,49106308,39175979,30578242,30578244,39175986,39176509,39176510,39176548,30578651,30578650,39176071,30578301,30578302,30498473,23085171,23085170,30498466,30578391,30578392,39176187,39176105,30578332,23161333,23161334,30578325,37532301,47440445,39347140,30747539,23326023,17060076,11968228,11968227,17060070,23326007,30747510,30747554,23326054,23326053,30578642,30578641,39176542,47201973,42697870,33667051,25860730,25860731,33667060,42697884,39175944,30578220,30578221,39175948,30578622,23161551,16899985,16899983,23161544,30578696,39176291,39176290,33053595,256633001,257011230,255965516,23325982,17060050,11968220,11968221,17060057,16899955,16899954,23161491,30578602,25325057,23326156,23161514,23161516,23161408,16899906,11826969,11826970,16899912,17060155,11968270,8011835,5100453,5100454,8011839,11968277,17060175,23326197,30747708,30747711,39176427,30578577,30578578,39176431,49106732,60510586,49273521,49273388,47441196,47441198,49106367,39176021,30578264,30578263,39176015,40227889,31541500,24038298,24038297,30747441,23325968,17060043,17060042,23325963,30578590,30578591,39176465,39176477,33053607,30747729,30747732,30578721,30578474,23161401,23161400,30578468,30578487,23326116,17060125,11968255,8011827,8011828,11968259,17060131,23326131,30747686,30747722,30747720,38074189,29509921,29509923,38074198,39347344,39347343,49273469,47441206,37533288,37533290,47441214,49106347,39176007,39176006,49106342,49273415,49273418,40227902,40227903,39347052,30747432,30747412,30747413,30747421,39347045,31814792,24299277,24299278,31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035709,37533596,28988817,28988816,37533590,46399324,40510788,31814782,31814779,29244992,21925173,15839118,15839119,21925179,29245000,37809468,47441726,37533811,31559389,28989015,28989014,37533768,28988961,21705120,15663694,15663681,15663682,15663609,15663597,15663596,21705013,28988801,37533571,30791613,23365755,17096701,17096702,23365762,30791625,39394160,37533719,37531288,37530781,28986180,21702954,21702939,21702941,21702970,28986193,37530796,47438896,47441669,257470233,256928556,37530810,28986202,21702976,15662110,15662111,21702979,21705352,21705353,28989223,37534001,46924784,46924785,39794416,37530762,28988893,28988892,37533709,37533748,28988938,28988941,256889696,255854924,17827341,21705359,21705200,15663743,15663744,10843290,7168183,4514660,2712695,1571416,893429,893428,1571411,2712689,4514641,7168144,10843224,15663780,21705254,28989115,28989073,21705222,15663761,15663760,10844075,10844073,10842297,7167616,4514357,2712548,2712544,4514339,4825317,2907782,254232083,909844,513238,287828,283524,193406,193407,105951,58340,32856,32855,46253,46255,48123,26904,26903,48119,85964,85965,156587,283555,288183,513679,635806,635805,891674,636195,353275,193623,105748,58172,58171,105746,156609,283581,303533,303532,541673,961198,1598559,1133611,1133612,890671,635863,635862,524837,294099,282212,155868,155867,282208,193349,105543,105544,193354,193607,105736,105737,193610,287517,164974,90797,50014,27984,15891,15890,27980,50005,90778,164953,287912,513332,310312,171632,171631,310309,554571,636171,943664,532229,254120451,497486,599012,599014,546285,305945,193539,105688,91006,91009,165283,105690,105689,165244,105783,97501,53931,30477,17563,17564,30405,254074191,26101,14727,8212,4425,2317,2320,4435,8234,9324,5148,3164,3163,5849,10406,10413,10412,17341,30173,46346,46345,28922,28703,16411,9340 Dl.O(d2) = 254518516,2680555,1552743,882821,498158,498157,288811,160048,160047,150108,82573,82571,150101,270769,481094,851763,911791,914124,515886,333935,289381,279393,279394,289246,515410,289509,289474,160223,160220,288892,289441,289285,160111,88123,48498,48497,88119,88110,88112,160083,289173,515287,254122765,912370,1604392,1606633,1606634,2770518,2769784,1869313,1066365,1066366,1869314,3193601,5232885,4603759,4600615,2768020,1604776,1604775,1134042,636277,353348,353347,636275,1134039,1985084,2769669,267888019,7294895,254758439,4602962,2769868,1606156,913556,515485,515483,913549,884285,498995,498997,523057,298691,298690,532486,927831,1555422,2685140,1632051,1632049,2813124,2729154,1581207,898855,523135,293187,162149,162147,293181,523126,928134,1632099,2813183,4540519,2729902,1581806,899263,884274,884275,1555335,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,1555392,884313,498987,279840,154464,84660,84661,154472,279860,319355,522970,927847,1631679,2812696,4469157,7098150,5033031,3374004,3047397,1775295,1012200,1012199,1775292,2685198,254504439,4476087,4476086,5032300,267836359,1774318,1011421,1011422,884369,884368,1012035,570450,570455,1012003,1774195,2765610,1603095,1011974,570416,570418,1011980,1775060,2813018,1774907,1011853,1011855,1774914,3047042,5032919,4469143,267884201,3046703,3046702,3046277,1774211,1774210,1774630,1011627,570208,319382,319383,319453,570336,1011805,1631985,1985557,3372379,3372378,2712824,254339589,7168633,10844044,15664966,21706798,21706359,15664611,10843782,7168466,7168468,7168518,10843874,10843884,15662810,10842654,10842657,10842975,15662803,10843516,10843514,15663329,15662935,10842768,7167876,4514491,2712615,1571365,893407,893408,1571371,2712624,4514503,7167889,10842755,13346027,9119313,9119314,13346034,10842951,7167979,7167980,10842624,15662761,21703858,21925111,28902187,21627569,15596691,15596689,16884589,23144691,28876046,21704749,21704748,21706328,15664605,15664593,15664594,15664732,15664749,15662820,10842663,7167816,7167817,7167989,10842971,15662800,10843090,10843089,10842720,10842719,10842751,7167862,4514480,2712608,2712600,2712599,4514456,7167804,7167884,10842783,15663006,18746091,13346016,13346017,18746097,15663345,15662772,10842629,10842630,15662780,21703891,28987382,37441835,28902174,21627561,21627562,28902179,28988748,28987547,21704008,21704007,28987543,28990433,21706333,21706334,21704030,15662860,10842683,7167827,4514465,4514466,7167833,10842690,15662887,15663557,15663558,21703955,21703954,15663000,10842744,10842743,10842712,10842618,7167796,7167797,10842638,10842775,15663033,21704260,21704264,18746080,18746081,25325028,28988452,28987356,21703865,21703866,21703881,28987370,37532181,47348630,37441827,28902168,28902166,37441817,37532341,28987536,21704002,21704003,28987540,37532349,28987571,28987572,23161232,21704024,21704023,21703943,15662832,15662831,15662873,21704059,28987609,28988759,28988758,37532226,28987779,28987776,28987658,21704113,15662916,15662914,21703904,15662787,15662788,21703910,28987404,37532145,33053574,33053570,33053571,41997078,37533220,37532164,37532163,47440295,49106269,58826887,71554721,71465951,58736348,47348612,39094280,37532410,37532411,37532334,37532332,47440485,49106443,49106427,39176090,30578321,28987514,28987516,28987526,28987432,21703938,21703937,28987428,30784308,37532160,37532159,37532382,28987566,28987568,37532389,37532459,28987647,21704100,21704098,28987641,28987395,28987396,30578371,37532211,47440367,52336243,49106304,49106300,49106299,47440351,47440349,49106319,49106272,49106273,58826958,58826957,49106412,49023226,39094287,30498462,30498463,39094292,47440477,47440478,49106450,39176113,30578342,23161341,23161331,23161330,28987509,37532305,37532246,37532247,30747519,23326012,23325994,23325991,23325999,30747492,37532375,37532374,39347175,39347176,37532444,28987635,28987636,37532450,47440344,47440343,42697861,42697860,53148480,49106308,39175979,30578242,30578244,39175986,39176509,39176510,39176548,30578651,30578650,39176071,30578301,30578302,30498473,23085171,23085170,30498466,30578391,30578392,39176187,39176105,30578332,23161333,23161334,30578325,37532301,47440445,39347140,30747539,23326023,17060076,11968228,11968227,17060070,23326007,30747510,30747554,23326054,23326053,30578642,30578641,39176542,47201973,42697870,33667051,25860730,25860731,33667060,42697884,39175944,30578220,30578221,39175948,30578622,23161551,16899985,16899983,23161544,30578696,39176291,39176290,33053595,256633001,257011230,255965516,23325982,17060050,11968220,11968221,17060057,16899955,16899954,23161491,30578602,25325057,23326156,23161514,23161516,23161408,16899906,11826969,11826970,16899912,17060155,11968270,8011835,5100453,5100454,8011839,11968277,17060175,23326197,30747708,30747711,39176427,30578577,30578578,39176431,49106732,60510586,49273521,49273388,47441196,47441198,49106367,39176021,30578264,30578263,39176015,40227889,31541500,24038298,24038297,30747441,23325968,17060043,17060042,23325963,30578590,30578591,39176465,39176477,33053607,30747729,30747732,30578721,30578474,23161401,23161400,30578468,30578487,23326116,17060125,11968255,8011827,8011828,11968259,17060131,23326131,30747686,30747722,30747720,38074189,29509921,29509923,38074198,39347344,39347343,49273469,47441206,37533288,37533290,47441214,49106347,39176007,39176006,49106342,49273415,49273418,40227902,40227903,39347052,30747432,30747412,30747413,30747421,39347045,31814792,24299277,24299278,31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035709,37533596,28988817,28988816,37533590,46399324,40510788,31814782,31814779,29244992,21925173,15839118,15839119,21925179,29245000,37809468,47441726,37533811,31559389,28989015,28989014,37533768,28988961,21705120,15663694,15663681,15663682,15663609,15663597,15663596,21705013,28988801,37533571,30791613,23365755,17096701,17096702,23365762,30791625,39394160,37533719,37531288,37530781,28986180,21702954,21702939,21702941,21702970,28986193,37530796,47438896,47441669,257470233,256928556,37530810,28986202,21702976,15662110,15662111,21702979,21705352,21705353,28989223,37534001,46924784,46924785,39794416,37530762,28988893,28988892,37533709,37533748,28988938,28988941,256889696,255854924,17827341,21705359,21705200,15663743,15663744,10843290,7168183,4514660,2712695,1571416,893429,893428,1571411,2712689,4514641,7168144,10843224,15663780,21705254,28989115,28989073,21705222,15663761,15663760,10844075,10844073,10842297,7167616,4514357,2712548,2712544,4514339,4825317,2907782,254232083,909844,513238,287828,283524,193406,193407,105951,58340,32856,32855,46253,46255,48123,26904,26903,48119,85964,85965,156587,283555,288183,513679,635806,635805,891674,636195,353275,193623,105748,58172,58171,105746,156609,283581,303533,303532,541673,961198,1598559,1133611,1133612,890671,635863,635862,524837,294099,282212,155868,155867,282208,193349,105543,105544,193354,193607,105736,105737,193610,287517,164974,90797,50014,27984,15891,15890,27980,50005,90778,164953,287912,513332,310312,171632,171631,310309,554571,636171,943664,532229,254120451,497486,599012,599014,546285,305945,193539,105688,91006,91009,165283,105690,105689,165244,105783,97501,53931,30477,17563,17564,30405,254074191,26101,14727,8212,4425,2317,2320,4435,8234,9324,5148,3164,3163,5849,10406,10413,10412,17341,30173,46346,46345,28922,28703,16411,9340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017553, s2 = 1130676, dlinesl.size( ) = 2 s1 = 11017553, s2 = 1130676, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11017553, Dl.E( ) = 8, 1.1e-05 seconds used appending s1 = 14031690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11017859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017859, s2 = 11218116, int(edited[s2]) = 0 s1 = 11017859, s2 = 11218116, d1 = 13, d2 = 10 Dl.O(d1) = 10810456,10810457,12693802,12693726,8623324,5606572,254371274,12693719,17916426,24299180,31814658,256456110,40510653,50546333 Dl.O(d2) = 88467895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017859, s2 = 11218116, dlinesl.size( ) = 8 s1 = 11017987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017987, s2 = 12245047, int(edited[s2]) = 0 s1 = 11017987, s2 = 12245047, d1 = 1, d2 = 2 Dl.O(d1) = 10832550 Dl.O(d2) = 254332444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017987, s2 = 12245047, dlinesl.size( ) = 2 s1 = 11017987, s2 = 12245047, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11017987, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 11018099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14249051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14249051, s2 = 14090716, int(edited[s2]) = 0 s1 = 14249051, s2 = 14090716, d1 = 14, d2 = 7 Dl.O(d1) = 30848492,38783741,48705891,60101411,53830889,43306016,34207511,34207512,42125214,52480176,52480175,42125213,42125212,47247363,58640508,70848231,58133834,53830887,53830888,65898005,79260128,93386897,100180273,86216525,72618088,59879759,59879758,256893802,256351926,25963483,255423852,13797196,13797195 Dl.O(d2) = 91244889,91244890,105467413,91244862,77324778,64176536,64176537,77324780,91244864,105467415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14249051, s2 = 14090716, dlinesl.size( ) = 2 s1 = 14249051, s2 = 14090716, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14249051, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 11018105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018105, s2 = 11009558, int(edited[s2]) = 0 s1 = 11018105, s2 = 11009558, d1 = 2, d2 = 12 Dl.O(d1) = 10861512 Dl.O(d2) = 11814854,7892884,5493684,3383858,1992875,1138849,1138848,1992874,3383855,5020602,3384819,3384662,1993454,1993456,1993451,1993452,3384657,5494535,5495724,5493396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018105, s2 = 11009558, dlinesl.size( ) = 12 s1 = 11018305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018305, s2 = 10753009, int(edited[s2]) = 0 s1 = 11018305, s2 = 10753009, d1 = 0, d2 = 0 Dl.O(d1) = 15770967,256358987,47631292,59033492,59033490,59033489,71775979,270828883,113314367,127174032,261686601,262203443,175754801,185267197,185267199,193565820,200679194,206681215,211640543,211640544,215694937,265186429,224311674,265709733,226421150,228257978,229870849 Dl.O(d2) = 15770967,256358987,47631292,59033492,59033490,59033489,71775979,270828883,113314367,127174032,261686601,262203443,175754801,185267197,185267199,193565820,200679194,206681215,211640543,211640544,215694937,265186429,224311674,265709733,226421150,228257978,229870849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018305, s2 = 10753009, dlinesl.size( ) = 2 s1 = 11018305, s2 = 10753009, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11018305, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 15193578, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13240370, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11018717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018717, s2 = 10984008, int(edited[s2]) = 0 s1 = 11018717, s2 = 10984008, d1 = 5, d2 = 1 Dl.O(d1) = 254518047,254099207,48386,48387,87898,159638,288454 Dl.O(d2) = 911317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018717, s2 = 10984008, dlinesl.size( ) = 8 s1 = 1477815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1477815, s2 = 1830592, int(edited[s2]) = 0 s1 = 1477815, s2 = 1830592, d1 = 5, d2 = 17 Dl.O(d1) = 37903278,29334700 Dl.O(d2) = 47824807,59222761,55486102,44636117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1477815, s2 = 1830592, dlinesl.size( ) = 18 s1 = 11019139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11019139, s2 = 11052156, int(edited[s2]) = 0 s1 = 11019139, s2 = 11052156, d1 = 25, d2 = 22 Dl.O(d1) = 11136945,7387026,7387028,4700222,2831775,1642934,1642933,2831768,4700209,7438450,11210714,16138314,16844345,16844349,18151272,14478859,14478858,255229107,8841068,5761808,5761809,8799149,8750520,254889657,18145475,24590925,32177318,39462227,32177577,255975282,34583751,43854927,257587441,39119213,30521704,30521705,39119375,43854868,34583663,34583664,38383909,37754385,37491124,28948482,28948481,37491123,37492595,37491952,28949398,28949397,37491950,38048078,29484591,29484592,38048081,39119279,39119280,37754375,29192987,29192988,37754377,30896537,23463323,17184174,12082796,12082795,17184173,23463320,30896479,37492444,28949987,24785882,24785883,32410727,28175655,28175656,36651358,37491637,31491390,23993917,17649691,12478178,12478177,17649690,16042419,16042418,20916019,19038155,13589963,13589964,15633693,21670421,255961191,39113665,49043429,60447203,59563137,59563136,72297558,85890369,73193631,65988363,65988362,79355283,93491857,93491858,107929713,122356564,136341398,262060051,173061737,182947386,263449540,263695511 Dl.O(d2) = 162901350,150876437,261578882,96164329,110326818,269674664,256774944,67209277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11019139, s2 = 11052156, dlinesl.size( ) = 26 s1 = 11809166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019199, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16300177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15090363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15090363, s2 = 16300178, int(edited[s2]) = 0 s1 = 15090363, s2 = 16300178, d1 = 26, d2 = 29 Dl.O(d1) = 254924472,19263027,19263028,13767424,9437032,6185456,3870892,3870893,6185431,6185432,6247136,3910934,2366895,1370245,1370242,254309691,6306955,9603512,13981616,9635426,9635423,13155705,13084567,9635425,9635423,13155705,18225568,18225565,17486292,12329149,8328811,8328812,12329150,17486294,23822876,31311704,26387371,26387370,28428803,36927468,255253890,52468317,64125210,64335989,52468332,52468297,42116251,33161942,27235217,20305609,14572118,14572117,20305608,27235216,255342419,10027432,6590188,6590189,10027437,14572324,20305681,14572161,14572162,20305684,20305596,14572112,14572113,10027319,6590133,4128699,2469760,2469758,4128694,6590125,10027300,14572092,19274947,13777978,9446051,6192557,3875681,3875680,6192554,9446044,13777969,19274935,25937658,32630749,24961867,18443624 Dl.O(d2) = 41515952,51793263,63578809,76664693,64012103,52178740,254893838,25209632,18645207,13257640,9045781,5912557,3695713,2212881,1284320,733646,733643,733073,417203,417205,733146,1282839,1282841,1282840,1279740,1279738,1277989,1277988,1277927,731076,731077,1277931,2199580,3674670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15090363, s2 = 16300178, dlinesl.size( ) = 2 s1 = 15090363, s2 = 16300178, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15090363, Dl.E( ) = 30, 1.5e-05 seconds used appending s1 = 11019341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15412734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15412734, s2 = 13275792, int(edited[s2]) = 0 s1 = 15412734, s2 = 13275792, d1 = 11, d2 = 12 Dl.O(d1) = 70482639,259097796,81074225,86702009,98130560,84235723,70682775,57964447,57964448,70682778,63565704,51783277,41508303,32625016,32625017,28210461,21017210,21017213,28210466,36701543,46588259,57964712,59951836,48559678,38644417,30069028,30069029,38644426,36733344,36733345,45315900,45315902,46460113,36701630,36701631,46588341,57964508,46588059,46588060,55720254,44813700,35389013,35389014,30094018,22712389,22712388,30094016,38671226,48587393,59478586,257850912,59951840,59478347,256936911,38176887,38177332,38177333,48088945,38177528,38177529,42865025,41629683,41629684,48089248,48089247,59478351,48089039,48088693,38176857,29610038,22259661,22259662,29610040,29944686,22581632,16399163,16399164,22581634,29944690,38508544,36728870,28234773,21037187,21037185,22259603,16120049,255459925,25609915,25609913,33374740 Dl.O(d2) = 59478664,59478849,255782884,97713806,111634988,97713809,258619144,112342868,258619142,85961855,72366983,72366965,59632555,48245494,48245495,48572002,38918707,36934263,36934262,30079176,22697892,16495054,11492582,11492581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15412734, s2 = 13275792, dlinesl.size( ) = 2 s1 = 15412734, s2 = 13275792, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15412734, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 12354672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15062541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13242248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13252871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11019775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11019775, s2 = 11322314, int(edited[s2]) = 0 s1 = 11019775, s2 = 11322314, d1 = 0, d2 = 6 Dl.O(d1) = 16267058 Dl.O(d2) = 38373206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11019775, s2 = 11322314, dlinesl.size( ) = 14 s1 = 13243132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13243132, s2 = 8150992, int(edited[s2]) = 0 s1 = 13243132, s2 = 8150992, d1 = 89, d2 = 98 Dl.O(d1) = 255395560,16293657,16293658,16293894,16293024,11336016,11336017,16293026,16792814,16293041,11336025 Dl.O(d2) = 98302250,84393685,70836700,58122283,46753747,256616494,28377722,36874266,28377474,28377473,22540150,22540151,29895725,35301256,35301255,44720845,55619652,68007576,75428984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13243132, s2 = 8150992, dlinesl.size( ) = 2 s1 = 13243132, s2 = 8150992, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13243132, Dl.E( ) = 114, 3.19e-05 seconds used appending s1 = 13243160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11020159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020159, s2 = 10485066, int(edited[s2]) = 0 s1 = 11020159, s2 = 10485066, d1 = 0, d2 = 14 Dl.O(d1) = 16434460 Dl.O(d2) = 81280464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020159, s2 = 10485066, dlinesl.size( ) = 26 s1 = 7567176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11020307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020307, s2 = 11084854, int(edited[s2]) = 0 s1 = 11020307, s2 = 11084854, d1 = 7, d2 = 6 Dl.O(d1) = 11485573,7639327,7639326,11485572,11485603,16484537,22683077,20820685,20820686 Dl.O(d2) = 2526562,2526563,4225438,6743175,10261610,14922985,255358023,14922980,15827606,10968364,10968363,15827610,21909171,29224924,37786849,255871079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020307, s2 = 11084854, dlinesl.size( ) = 14 s1 = 13244358, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11020657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020657, s2 = 11338584, int(edited[s2]) = 0 s1 = 11020657, s2 = 11338584, d1 = 17, d2 = 6 Dl.O(d1) = 16596504,257564535 Dl.O(d2) = 141644240,154298118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020657, s2 = 11338584, dlinesl.size( ) = 18 s1 = 11020699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020699, s2 = 11285726, int(edited[s2]) = 0 s1 = 11020699, s2 = 11285726, d1 = 17, d2 = 15 Dl.O(d1) = 16610106,255205394,6370740,9685442,14081253,18897193,16066866,11156266,7399794,7399795,11156274,11156280,16066887,19080918,13622586,9328046,9328048,13622593,19080933,22860443,30255666,37194421,28672266,21424857,15433031,10669169,7046542,4434880,4434882,7046556,10669190,15433058,19080819,25707836,28672325,25707766,19080775,19080776,22860911,25707392,19080464,13622284,9327887,9327886,6110227,6110226,9327959,13465800,13465799,18897390,13465793,11603479,7724396,7724394,11603468,16634454,13338892,9113685,9113684,7724388,7724391,11603462,13465774,13465772,15435743,10671135,10671138,15435760,16634394,22860887,30255741,22860501,16634135,15433016,15433019,21424906,21424877,21424876,21723219,21723217,29009859,33480979,33480978,42474402,47463626,38381102,29809016,22859688,16633533,16633535,22859690,30254843,29009962,21723297,15678427,10854253,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,7741257,11622929,16655366,255857007,21723379,29010044,37556222,38867336 Dl.O(d2) = 263639401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020699, s2 = 11285726, dlinesl.size( ) = 18 s1 = 9353582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9353582, s2 = 2306337, int(edited[s2]) = 0 s1 = 9353582, s2 = 2306337, d1 = 0, d2 = 0 Dl.O(d1) = 14432219,17514551,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293537,23606446,254181964,20125044,14433274,9928334,9928335,6525032,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,8247508,8193797,8193796,12162927,17283877,254584154,254519156,22494698,21627470,15596609,10789416,8198547,5268889,5268891,8198551,12167033,17288076,17107108,12021173,8080875,254583928,12178145,12178144,17300135,22498569,22498568,29853963,23635455,22496947,16322943,16322942,22496944,254862084,48324360,38414034,29842960,22475943,16305607,11345060,11345062,16305617,16305152,11344776,7538935,4769041,2875073,267831215,7539093,11345083,11491912,11491910,16494023,22696548,29841224,22473909,22473908,16304547,16304546,16319400,16319399,22492755,29843596,267900314,23029899,22484886,16313033,11349781,11349782,7542363,7542364,11351171,16315242,15328443,10587062,10587064,15328448,21295187,28516320,29840195,22472653,16354460,11381019,11381016,16354452,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,11724306,254585142,16736054,22972529,22480876,22480877,22478205,16307492,16307493,22478211,16737116,11693462,11693459,16307477,11346295,11346296,16307482,22478195,16768787,11722517,7825003,4966550,4966551,7824977,11381727,11381726,16355217,22527987,17276913,254761114,29350012,22018280,15916866,15916867,16303553,254807190,22512151,16769474,11723538,11723539,16769476,254807188,28315238,22528347,22528346,29883425,22528345,21979973,21979976,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337367,17514744,17514740,254180772,7550026,7550027,11364116,11364133,11364131,11372288,7555155,4777540,4777541,2879310,1670973,950721,536155,536154,950715,1670966,2879291,4777572,7555220,11372386,16344187,16328991,16328992,12350361,12350362,12164528,8195971,5266054,5266058,8195984,12164549,16340228,16340229,12164489,12164488,16343924,16351677,12164494,12164495,14431661,14434154,9928961,9928960,9972162,9972161,14493195,14431777,9927280,9927279,8205915,8205917,11377614,11374805,7556835,7556834,8222374,5292554,5292555,8222379,11035447,11035446,12178068,17300049,23576026,23632773,17316786,17316788,17292066,17292065,23574879,23574878,23613106,17333027,12207829,12207826,17333023,255157882,10454007,6891124,6891123,7081233,10718156,15498342,21506545,267888868,36807745,31635715,24128662,17765450,17765449,16327977,11359607,7547142,7123804,4485321,4485320,267764854,15585339,11359912,11359911,255045618,29822675,28296874,28296876,255942976,22848697,16624573,11596204,11596203,16624572,12159143,8189736,8189701,5259296,5259297,8189706,11596222,8189695,8189694,12159096,255547057,31074877,39752472,49770927,61249579,74029533,74562162,61778779,50299529,256540966,24091490,17733822,12547133,8506350,5506802 Dl.O(d2) = 14432219,17514551,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293537,23606446,254181964,20125044,14433274,9928334,9928335,6525032,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,8247508,8193797,8193796,12162927,17283877,254584154,254519156,22494698,21627470,15596609,10789416,8198547,5268889,5268891,8198551,12167033,17288076,17107108,12021173,8080875,254583928,12178145,12178144,17300135,22498569,22498568,29853963,23635455,22496947,16322943,16322942,22496944,254862084,48324360,38414034,29842960,22475943,16305607,11345060,11345062,16305617,16305152,11344776,7538935,4769041,2875073,267831215,7539093,11345083,11491912,11491910,16494023,22696548,29841224,22473909,22473908,16304547,16304546,16319400,16319399,22492755,29843596,267900314,23029899,22484886,16313033,11349781,11349782,7542363,7542364,11351171,16315242,15328443,10587062,10587064,15328448,21295187,28516320,29840195,22472653,16354460,11381019,11381016,16354452,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,11724306,254585142,16736054,22972529,22480876,22480877,22478205,16307492,16307493,22478211,16737116,11693462,11693459,16307477,11346295,11346296,16307482,22478195,16768787,11722517,7825003,4966550,4966551,7824977,11381727,11381726,16355217,22527987,17276913,254761114,29350012,22018280,15916866,15916867,16303553,254807190,22512151,16769474,11723538,11723539,16769476,254807188,28315238,22528347,22528346,29883425,22528345,21979973,21979976,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,10753558,14433674,16354677,16354676,17587799,15539443,10747000,10747001,15539447,17514659,12350874,12350875,16337367,17514744,17514740,254180772,7550026,7550027,11364116,11364133,11364131,11372288,7555155,4777540,4777541,2879310,1670973,950721,536155,536154,950715,1670966,2879291,4777572,7555220,11372386,16344187,16328991,16328992,12350361,12350362,12164528,8195971,5266054,5266058,8195984,12164549,16340228,16340229,12164489,12164488,16343924,16351677,12164494,12164495,14431661,14434154,9928961,9928960,9972162,9972161,14493195,14431777,9927280,9927279,8205915,8205917,11377614,11374805,7556835,7556834,8222374,5292554,5292555,8222379,11035447,11035446,12178068,17300049,23576026,23632773,17316786,17316788,17292066,17292065,23574879,23574878,23613106,17333027,12207829,12207826,17333023,255157882,10454007,6891124,6891123,7081233,10718156,15498342,21506545,267888868,36807745,31635715,24128662,17765450,17765449,16327977,11359607,7547142,7123804,4485321,4485320,267764854,15585339,11359912,11359911,255045618,29822675,28296874,28296876,255942976,22848697,16624573,11596204,11596203,16624572,12159143,8189736,8189701,5259296,5259297,8189706,11596222,8189695,8189694,12159096,255547057,31074877,39752472,49770927,61249579,74029533,74562162,61778779,50299529,256540966,24091490,17733822,12547133,8506350,5506802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9353582, s2 = 2306337, dlinesl.size( ) = 2 s1 = 9353582, s2 = 2306337, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 9353582, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11020973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020973, s2 = 11244646, int(edited[s2]) = 0 s1 = 11020973, s2 = 11244646, d1 = 11, d2 = 13 Dl.O(d1) = 11645740,11645741,15777406,15778267,10929717,10929718,15778271,18561584,13189804,8991430,8991429,13189803,18561580,25111412,29153574,29155245,33006685,32814470,29143727,21836036,15766840,15766841,21836039,21848174,15777544,15777543,21835835,21835836,254751810 Dl.O(d2) = 256901846,258091858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020973, s2 = 11244646, dlinesl.size( ) = 8 s1 = 13245456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15097957, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11021221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021221, s2 = 11165620, int(edited[s2]) = 0 s1 = 11021221, s2 = 11165620, d1 = 10, d2 = 9 Dl.O(d1) = 16781725,23022664,30428093,256873186,25856945,19200014,13712504,9392025,9392024,13712501,19200005,25856936,33467813,33467811,25831674,25831673,33634466,28458106,28458105,256675003,34299577,34299576,257214118,26382604,25695019,25695020,19178967,13695813,9379620,254453373,2303842,1336974,763691,434432,434431,763687,1336969,1336997,763699,763698,1336993,2303884,3844896,6144567,3998310,3998309,4579917,4579916,7262118,10971455 Dl.O(d2) = 255275949,9322178,6106483,6106484,9322180,255275951,13695901,13695903,19179089,25831891,23031359,16788589,16788588,19506671,255708413,34081165,43164252,43164253,53674433,53102141,42664148,42651002,33622765,33622768,42651008,33622793,25821858,19171392,13690369,13690368,19171390,25821853,19171386,19171385,25821851,256672173,53102155,42651037,268759898,33614591,26309567,26309566,25821863,19171396,19171395,19584661,19584663,26309559,34180005,26308536,19583626,19583627,19583631,19583632,26308547,32145166,24562457,18123141,12850662,12850660,255612873,32145162,40922540,49180600,43276480,43276479,51063118,53071450,42623814,256153568,25802337,33517396,25737866,25737865,25815005,33517389,33517390,42517330,52927888,43276473,34180001,34180000,43276472,53801364,60580312,49180603,254938124,23237646,16965918,16965917,23237644,26308533,34180003,42623810,42623809,53071449,48373316,255282214,53013193,64988269,63042011,51360703,41174503,33408012,25641359,19024454,13579079,13579080,18992565,25605027,24742347,24742348,32358655,41174497,51360697,63042005,58880199,58880198,65088483,63041990,51360674,41174474,33408014,254938104,19024455,25641362,33408017,42397127,52796699,64710520,65054040,63042010,51360701,41174501,32358664,24742355,24742357,32358665,28613817,28613818,28613820,28613819,37124818,38641157,30066364,22687855,22687856,24742366,18269313,12965683,12965682,18269311,24742362,21755179,18269303,12965676,8824777,8824776,12965673,18269297,24742341,32358649,33666666,37793627,37793620,29231533,21914738,15831938,10971448,7262114,7262115,10971450,15831942,21914745,29231541,29913527,38471707,33666643,25860349,25860348,29227866,37789850,47710794,37793612,37793611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021221, s2 = 11165620, dlinesl.size( ) = 14 s1 = 16047786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11021307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021307, s2 = 10994892, int(edited[s2]) = 0 s1 = 11021307, s2 = 10994892, d1 = 20, d2 = 12 Dl.O(d1) = 16809182,23055725,30463980,28397067,21177020,21177019,28397066,28057839,28057841,28393839,24939309,24939308,32602055,269055919,76606696,261933377,260693802,188775336,196561571,262793282,170996301,261991129,134120936,260294985,271553067,120289818,134120932,120289815,106089442,91894545,77969740,64775037,52855268,42451134 Dl.O(d2) = 33457984,42451133,52855266,258425753,91713355,258806248,52701585,52701584,53519415,43040995,33983450,26143630,19446427,13915801,9551052,6266945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021307, s2 = 10994892, dlinesl.size( ) = 8 s1 = 11021379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021379, s2 = 14184809, int(edited[s2]) = 0 s1 = 11021379, s2 = 14184809, d1 = 0, d2 = 0 Dl.O(d1) = 11771551,254556623,1750073,1750088,995187,560279,313706,173497,95453,52689,29676,17041,17040,29670,52684,95441,173475,313680,560231,995098,994578,559902,559903,560265,560266,995169,994652,559946,559947,559830,313453,173368,173367,254102021,313548,560020,559883,267753343,559899,254127785,1749109,994607,559919,313499,313498,559916,994605,994559,994558,1749085,995133,254102047,313669,173470,95436,95437,173472,313674,560223,995089,1749952,1749115,1749114,1749292,267753345,313529,267737455,52671,52673,95408,173415,313553,560033,994779,1749428,1749374,1749372,3011805,3011177,1748911,1748912,994562,559895,559896,994567,559908,559907,994587,1749129,1749215,1749213,1749823,995006,560170,560171,995010,1748925,995087,560220,560219,994626,994625,1749187,3011539,4985972,4985490,3011213,1749909,995057,267745069,173456,95429,52678,52675,95419,173435,313602,560127,994929,1749698,3012387,4987406,7858100,11766105,11766106,11767264,7856323,7174021,4518967,3011754,3011755,4986302,7856275,7858553,7858552,7858539,7858538,11770657,16826068,11766104,11766103,255450364,7859010,254523768,1750000,1750001,3012813,4987792,3012658,254372013,4986326,267793447,1749349,994944,994945,994631,994629,1749195,3011552,4985994,4985450,4648486,4648485,4648378,4648379,2800050,2800053,3011771,1749339,1749338,3011767,4648662,3012596,3011515,3011516,4985950,4986141,4985958,3011525,1749179,1749177,3011522,3012573,3012574,4987691,4986447,3012810,1749996,1749997,2800127,2800102,2800101,2800095,2800093,2800109,1624324,1624323,994728,559995,559994,994724,1749357,1749725,3011556,4986000,3011711,3011710,4986251,4648605,2800179,1624367,923645,923646,1624290,1624289,2800056,3011758,3011759,2800221,2800219,4648663,7359015,7858546,11767123,11096155,7359039,4987712,3012590,3012587,2800199,2800200,3011743,1749328,1624400,1624399,2800238,2800193,2800191,4648558,4648383,2800009,2800010,4648388,3011478,254350122,2800082,1624304,1624306,254159137,862699,1521595,1521561,1521560,1624355,923638,923637,1624353,2800160,4648588,254498415,4397730,4648676,4648678,7358964,254350120,2634952,2634953,4397240,4397259,2634969,2634970,4397262,6996930,10604721,10604719,6996927,254730023,254498361,4397180,6996883,6997706,7358972,4648616,4648365,2799996,1624262,1624263,2799999,4648367,6996950,4397244,2634957,1521574,862687,486881,273797,273798,486883,862693,862797,862798,1521767,1521586 Dl.O(d2) = 11771551,254556623,1750073,1750088,995187,560279,313706,173497,95453,52689,29676,17041,17040,29670,52684,95441,173475,313680,560231,995098,994578,559902,559903,560265,560266,995169,994652,559946,559947,559830,313453,173368,173367,254102021,313548,560020,559883,267753343,559899,254127785,1749109,994607,559919,313499,313498,559916,994605,994559,994558,1749085,995133,254102047,313669,173470,95436,95437,173472,313674,560223,995089,1749952,1749115,1749114,1749292,267753345,313529,267737455,52671,52673,95408,173415,313553,560033,994779,1749428,1749374,1749372,3011805,3011177,1748911,1748912,994562,559895,559896,994567,559908,559907,994587,1749129,1749215,1749213,1749823,995006,560170,560171,995010,1748925,995087,560220,560219,994626,994625,1749187,3011539,4985972,4985490,3011213,1749909,995057,267745069,173456,95429,52678,52675,95419,173435,313602,560127,994929,1749698,3012387,4987406,7858100,11766105,11766106,11767264,7856323,7174021,4518967,3011754,3011755,4986302,7856275,7858553,7858552,7858539,7858538,11770657,16826068,11766104,11766103,255450364,7859010,254523768,1750000,1750001,3012813,4987792,3012658,254372013,4986326,267793447,1749349,994944,994945,994631,994629,1749195,3011552,4985994,4985450,4648486,4648485,4648378,4648379,2800050,2800053,3011771,1749339,1749338,3011767,4648662,3012596,3011515,3011516,4985950,4986141,4985958,3011525,1749179,1749177,3011522,3012573,3012574,4987691,4986447,3012810,1749996,1749997,2800127,2800102,2800101,2800095,2800093,2800109,1624324,1624323,994728,559995,559994,994724,1749357,1749725,3011556,4986000,3011711,3011710,4986251,4648605,2800179,1624367,923645,923646,1624290,1624289,2800056,3011758,3011759,2800221,2800219,4648663,7359015,7858546,11767123,11096155,7359039,4987712,3012590,3012587,2800199,2800200,3011743,1749328,1624400,1624399,2800238,2800193,2800191,4648558,4648383,2800009,2800010,4648388,3011478,254350122,2800082,1624304,1624306,254159137,862699,1521595,1521561,1521560,1624355,923638,923637,1624353,2800160,4648588,254498415,4397730,4648676,4648678,7358964,254350120,2634952,2634953,4397240,4397259,2634969,2634970,4397262,6996930,10604721,10604719,6996927,254730023,254498361,4397180,6996883,6997706,7358972,4648616,4648365,2799996,1624262,1624263,2799999,4648367,6996950,4397244,2634957,1521574,862687,486881,273797,273798,486883,862693,862797,862798,1521767,1521586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021379, s2 = 14184809, dlinesl.size( ) = 2 s1 = 11021379, s2 = 14184809, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11021379, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14184810, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11021493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021493, s2 = 11266766, int(edited[s2]) = 0 s1 = 11021493, s2 = 11266766, d1 = 17, d2 = 11 Dl.O(d1) = 11804137,11804138,16873609,268422233 Dl.O(d2) = 73231268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021493, s2 = 11266766, dlinesl.size( ) = 20 s1 = 15637351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15065013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15090679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15090679, s2 = 15065014, int(edited[s2]) = 0 s1 = 15090679, s2 = 15065014, d1 = 5, d2 = 23 Dl.O(d1) = 84100563 Dl.O(d2) = 30905835,30584679,30584680,39182423,49111855,54645299,54645298,54645306,54645302,43902114,43902113,54645300,66902509,80329754,86020459,72423279,72423278,61275537,61275538,74055589,81039994,81039993,74153450,61373179,49892741,256509181,23698232,17376108,17376107,23698231,256509179,268442702,61373165,71902435,70482203,57782004,46427008,38703926,30127206,22744623,16536541,11525738,11525737,16536538,22744622,30127203,26215061,26215060,267911116,53670526,255571630,78056093,64859077,52933320,52933321,58688873,71422033,84995296,72210037,59472318,59472319,65069889,78348681,72210039,59472320,48081682,38168826,38168825,254681838,44349381,34971923,26892588,20011328,14331730,14331732,20011332,20011325,14331728,14331729,20011326,26892586,34971922,44349379,55199798,67543565,81013248,95072258,268538502,137248361,150288255,162423971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15090679, s2 = 15065014, dlinesl.size( ) = 2 s1 = 15090679, s2 = 15065014, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 15090679, Dl.E( ) = 24, 1.38e-05 seconds used appending s1 = 11021745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021745, s2 = 11088058, int(edited[s2]) = 0 s1 = 11021745, s2 = 11088058, d1 = 5, d2 = 3 Dl.O(d1) = 11870552 Dl.O(d2) = 7934470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021745, s2 = 11088058, dlinesl.size( ) = 8 s1 = 13247712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 191232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 191232, s2 = 13247711, int(edited[s2]) = 0 s1 = 191232, s2 = 13247711, d1 = 1, d2 = 1 Dl.O(d1) = 258146177,48357916,268640511,22543912,255097725,7568178,7568174,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695547,21747310,29039696,37556602,29010461,256350395,37589125,37589126,37579639,29032374,21741066,21741064,15690791,15690790,21741145,29002631,21716931,255424339,10865029,7183571,4526818,4526819,4521036,2717437,2717438,2720324,1576323,896186,896189,1573916,1575753,1575711,1575710,1573886,1573884,2716229,2720832,2720829,4526275,2721289,2721288,4527023,7177191,4521260,2717596,1574716,895337,895339,505386,505385,895927,1574166,254340111,7172998,7172997,10850061,15672842,21716290,29001802,256128894,49903566,39882613 Dl.O(d2) = 258146177,48357916,268640511,22543912,255097725,7568178,7568174,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856801,15682328,15695547,21747310,29039696,37556602,29010461,256350395,37589125,37589126,37579639,29032374,21741066,21741064,15690791,15690790,21741145,29002631,21716931,255424339,10865029,7183571,4526818,4526819,4521036,2717437,2717438,2720324,1576323,896186,896189,1573916,1575753,1575711,1575710,1573886,1573884,2716229,2720832,2720829,4526275,2721289,2721288,4527023,7177191,4521260,2717596,1574716,895337,895339,505386,505385,895927,1574166,254340111,7172998,7172997,10850061,15672842,21716290,29001802,256128894,49903566,39882613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 191232, s2 = 13247711, dlinesl.size( ) = 2 s1 = 191232, s2 = 13247711, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 191232, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 16348311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16348311, s2 = 568247, int(edited[s2]) = 0 s1 = 16348311, s2 = 568247, d1 = 0, d2 = 0 Dl.O(d1) = 1230820,1230821,2133031,3578123,3578122,5746286,6036441,9218711,9218713,9218712,10828491,10828492,15645741,21684913,28966864,37510281,31662001,24151380,17784123,12586741,8539093,5537191,3422700,3422701,5537193,8539097,12586748,254176762,267769274,30867120,39470667,49399187,60799860,73547017,87165489,101163599,115241170,129172347,142548997,155192688,166884455,177429349,186741918,261248288,201792912,207635621,273148046,263598948,264262032,221338605,264540892,210770437,205622546,199399219,192044093,183494901,173716794,162707952,150609824,137613985,123936134,109800327,95598374,95598375,81564932,68075223,55676322,44766928,44766929,44766930,35340669,27216741,20288491,14558445,14558446,12389276,8372342,5403390,5403389,8372340,12389274,12393560,12377678,8364130,8364128,12377671,17547505,23893669,31213054 Dl.O(d2) = 1230820,1230821,2133031,3578123,3578122,5746286,6036441,9218711,9218713,9218712,10828491,10828492,15645741,21684913,28966864,37510281,31662001,24151380,17784123,12586741,8539093,5537191,3422700,3422701,5537193,8539097,12586748,254176762,267769274,30867120,39470667,49399187,60799860,73547017,87165489,101163599,115241170,129172347,142548997,155192688,166884455,177429349,186741918,261248288,201792912,207635621,273148046,263598948,264262032,221338605,264540892,210770437,205622546,199399219,192044093,183494901,173716794,162707952,150609824,137613985,123936134,109800327,95598374,95598375,81564932,68075223,55676322,44766928,44766929,44766930,35340669,27216741,20288491,14558445,14558446,12389276,8372342,5403390,5403389,8372340,12389274,12393560,12377678,8364130,8364128,12377671,17547505,23893669,31213054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16348311, s2 = 568247, dlinesl.size( ) = 2 s1 = 16348311, s2 = 568247, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 16348311, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 15919728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8007303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8007303, s2 = 12271294, int(edited[s2]) = 0 s1 = 8007303, s2 = 12271294, d1 = 0, d2 = 26 Dl.O(d1) = 7855827,7855486,6540607,4097789,2451421,2451422,4097791,6540611,9951817,9957072,9952475,6540995,6540992,9952455,9950059,6539431,6539429,9950049,7855669,6539532,6539533,9950188,14462640 Dl.O(d2) = 43399932,43399931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8007303, s2 = 12271294, dlinesl.size( ) = 2 s1 = 8007303, s2 = 12271294, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 8007303, Dl.E( ) = 36, 1e-05 seconds used appending s1 = 11022189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022189, s2 = 11544512, int(edited[s2]) = 0 s1 = 11022189, s2 = 11544512, d1 = 52, d2 = 31 Dl.O(d1) = 17114933,23386447,30815763,257029561,60753512,73502493,60753506,60753505,73502491 Dl.O(d2) = 194820523,264265943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022189, s2 = 11544512, dlinesl.size( ) = 22 s1 = 11810354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13351433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022477, s2 = 10985994, int(edited[s2]) = 0 s1 = 11022477, s2 = 10985994, d1 = 13, d2 = 11 Dl.O(d1) = 254136972,2014450,2014452,3413206,5527106,8528971,12575479,17722039,17722040,16057258,11149198,7394832,4671659,2814546,1632882,1632884,2814552,4671607,7394583,4671503,4671502,7394580,11148808,16056691,12587546,11560264,11560265,16579892,22796672,24188045,22665010,17817826 Dl.O(d2) = 254414854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022477, s2 = 10985994, dlinesl.size( ) = 20 s1 = 11022495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022495, s2 = 14238174, int(edited[s2]) = 0 s1 = 11022495, s2 = 14238174, d1 = 1, d2 = 9 Dl.O(d1) = 12125435 Dl.O(d2) = 5227013,5174704,5174705,254380773,1809561,1033541,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1036945,584129,326412,180179,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,946689,1663893,1049181,1047799,589550,589549,946515,1663610,2866331,3157255,1849070,1849071,3116445,1821263,1821261,3116437,5107943,5107944,8019265,8019984,8031200,5120477,5120478,8031203,11982366,11983744,11983743,11327890,7524147,5126109,3115144,3115143,5126106,5176476,3157732,1848330,1054827,1054828,1848334,3103303,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,3146519,5139555,3191752,3191754,2870463,2870462,4761969,3191572,3191573,5229936,5149412,3136693,3123160,3098013,1810083,1810082,1819232,1819233,3113175,5111705,3104066,3104067,3132680,5146523,3131364,3131365,5146526,8012475,8055680,8018019,8018020,11972986,11993222,11331449,7528880,254357353,2870540,4762088,5127979,5127977,4680322,2819854,1635930,1635931,1826397,1042498,586956,586958,1042506,254256925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022495, s2 = 14238174, dlinesl.size( ) = 8 s1 = 13265595, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11022795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022795, s2 = 15338629, int(edited[s2]) = 0 s1 = 11022795, s2 = 15338629, d1 = 32, d2 = 28 Dl.O(d1) = 12228290,8256190,8256188,12228283,13991570,9615779,9615778,13996966,19546976,26267468,28555260,21329839,21329837,28555256,23678347,17358140,12228272,8256182,5326234,3273805,267843439,8256170,12228251,17358104,15369993,10620231,10620230,15369990,21344881,255552413,17358093,23678278,21329872,21329873,23678362,17358156,17358155,23678360,31166593,37055605 Dl.O(d2) = 77778732,64596015,52695406,52695405,64596013,64596017,77778736,91706254,105913494,108631673,94344368,80288172,66858737,54600544,43857237,34586451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022795, s2 = 15338629, dlinesl.size( ) = 2 s1 = 11022795, s2 = 15338629, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11022795, Dl.E( ) = 40, 1.91e-05 seconds used appending s1 = 11022813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022813, s2 = 11118722, int(edited[s2]) = 0 s1 = 11022813, s2 = 11118722, d1 = 32, d2 = 34 Dl.O(d1) = 17366411,23687977,31176984,39859754,39859682,31176918,256507897,49882856,61364304,74144899,61785459,51668035,41425949,41425950,51668038,63411318,63411425,51668149,41426038,32565867,32565868,32565897,24913564,24913537,24913536,32565842,41425993,51668093,61788024,61788020,50307449,50307450,51668184,50090751,40069522,40069523,256847110,47041929,37151577,28636376,21396482,21396483,28636377,268275768,12550208,8509381,5509858,5509860,8509393,12550230,17737474,24095736,31599642,24095943,24095942,31599713,24095797,24095796,17737523,17737524,24095811,25091312,18545528,13177174,8982303,8982302,13177171,18545523,25091304,24095973,24095974,24095978,17737650,17737649,18450476,13106661,8932731,5830420,5830419,8932738,13106673,18450494,24970260,32641333,41528535,255659416,50305319,256337560,31599873,39427556,257029955,60760286,63411413,63411360,51668075,50304799,40284143,31599587,256541691,31599500,40284033,50304669,59739030,48355456,254536188,22540809,254358256,38453518,255476872,39057983,256807291,27997349,20833119,255783583,24191155,28916039,21641691,15609883,10799902,10799903,15609885,21641697,28916048,37455419,46313263,46312740,36459938,36459937,36459971,28001192,20836424,20836423,22564265,16384474,16384475,22564268,29923842,25282132,25282131,20836920,20836919,28001728,23582881,17270448,12149268,254579861,3206264,3206262,5248442,8178846,12149251,255546489,31067044,39745182,256854376,46312298,46312297,256807585,36459919,29923216,22563760,22563759,29923212,38483364,46312530,36459736,28628774,28628773,37142164,46312403,46312402,40048921,40048920,50068222,59262949,47867382,37949390,256920641,37949404,37949405,259359553,72610596,257527918,38567369,29996911,256423185,48480745,59872414,53332395,42871212,42871211,48949693,60346275,256947846,41992647,33049305,25320904,18742111,18742110,25320903,256632491,33975700,26137378,26136693,26136694,33975530,39251360,33975520,26137380,26137218,19441269,19441270,26137223,33976058,26137327,19441343,13911686,9547797,9547796,13911684,19441338,26136907,19441019,13911437,9547627,9547628,13911438,19441021,19441122,19440551,255705349,13911225,9547468,9547467,13911224,19440756,13911702,9547803,6264353,6264354,9547805,13911706,254949921,9547602,13911411,13911394,268738774,6264699,254949999,13911053,13911336,9548211,6264645,6264646,9548215,13912263,9548204,6264643,6264642,9548200,9548311,6264708,6264709,9548314,13912405,19440595,19440596,19441097,19441763,19441713,13911957,9547975,9547976,13911960,19440894,19440892,26136412,19440549,13911038,9547319,6264024,6264023,9547311,13911026,19440532,26136397,26136512,33975350,43032344,257384356,256269040,21442524,22604284,22604283,29969292,38535308,37218272,37218271,37218488,257447309,71216087,84784797,98712815,104640590,104640591,101981632,88005794,88005795,101981634,90477166,76618833,63539261,51760526,41490039,32610523,24946015,18431438,18431437,24946011,32610519,41490032,50139884,50139885,61621536,74400270,63981502,52155218,41835639,32909596,25197581,25197582,32909602,41835642,52155267,63981542,63512984,51735449,51735450,63512986,51759898,51759899,63538661,63981523,63513137,63513136,76591822,63538981,51760263,41489805,32610335,32610336,41489807,51760267,63538984,52664244,42276989,33295860,33295862,42276991,51735574,51735575,63513172,76591849,77748128,257748448,42277107,33295924,33295922,42277104,52664340,42277046,42277045,42277127,52664456,64565266,77748147,84784977,71215996,58494089,256867763,28693326,21442290,15446688,10679637,10679636,15446686,21442284,28693317,268395522,38500972,38500971,255871942,72525835,68137134,255634288,53723885,44831399,44831355,44831354,44831536,44831535,55739368,58493988,65780457,53723884,43212011,40427606,255236166,61961255,256606810,257747782,130325280,143649326,156179579,156179580,167776257,259615640,143649332,156179593,167776275,178223310,187442515,187442493,178223296,261396724,178223304,167776267 Dl.O(d2) = 187442481,195465197,202327012,208095421,208095439,212851446,208095432,202327030,195465215,195465216,262897146,263314384,202327023,195465208,187442491,178223295,167776260,156179582,143649323,143649325,260232180,261396724,178223304,167776267,167776265,167776266,156179588,143649330,143649331,156179592,167776271,178223309,187442514,195465235,202327045,195465231,187442508,178223303,178223302,187442506,195465229,195465202,262434634,202327022,195465207,187442491,178223295,167776260,156179582,143649323,143649325,260232180,261396724,178223304,167776267,156179588,143649330,143649331,156179592,167776271,178223309,187442514,195465235,202327045,195465231,187442508,178223303,167776264,167776263,178223298,187442497,195465217,195465220,202327015,195465201,187442483,187442484,262434634,263314382,208095423,212851441,208095427,202327028,195465211,187442492,178223295,261933900,262434650,187442515,187442493,185287737,262434638,153432835,261139700,59244207,256903744,47666047,47668515,37746522,37746521,38124327,29558790,29558789,29183845,21872860,15798471,15798470,21872857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022813, s2 = 11118722, dlinesl.size( ) = 20 s1 = 11022853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022897, s2 = 11034336, int(edited[s2]) = 0 s1 = 11022897, s2 = 11034336, d1 = 7, d2 = 5 Dl.O(d1) = 12253964,12253963,17389203 Dl.O(d2) = 40020958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022897, s2 = 11034336, dlinesl.size( ) = 14 s1 = 11022923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022923, s2 = 11408780, int(edited[s2]) = 0 s1 = 11022923, s2 = 11408780, d1 = 19, d2 = 23 Dl.O(d1) = 256006459 Dl.O(d2) = 264040210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022923, s2 = 11408780, dlinesl.size( ) = 20 s1 = 11023023, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11023151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023183, s2 = 11407274, int(edited[s2]) = 0 s1 = 11023183, s2 = 11407274, d1 = 16, d2 = 9 Dl.O(d1) = 255074628,3304456,4644943,2797925,2797926,4644945,254764221,15008993,12337670,8334807,254402253,1945969,1945970,3307821,5379379,5373777,3304368,1943980,1110626,1110623,1943978,3304363,5373768,8326446,8907566,8907565,10277730,6767139,6767140,6782457,4258658,4258656,267784813,1469652,2551286,4267324,6804348,7673026,7673027,10362713,6826159,6826157,6836637,6836636,7129648,6849504,4298063,2569646,2569648,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228195,6747841,10268563,10280775,10368690,13278402,12507164,10362763,10268105,6747494,6747495,5208109,3177484,1860026,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,6838669,6838788,4290943,3709542,2565432,2223951,1332920,1332924,2297200,3834322,6128506,9356192,13662660,13323225,13299809,9081390,9081389,255650053,32987723,41928139,52266869,258385281 Dl.O(d2) = 261956923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023183, s2 = 11407274, dlinesl.size( ) = 18 s1 = 11810704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11810704, s2 = 6546147, int(edited[s2]) = 0 s1 = 11810704, s2 = 6546147, d1 = 53, d2 = 67 Dl.O(d1) = 11465516,11465515,16455657,22646320,22646421,22646420,22963038,22963037,30364922,25816399,19166910,19166908,16943649,16943645 Dl.O(d2) = 254494725,4362356,255818329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11810704, s2 = 6546147, dlinesl.size( ) = 2 s1 = 11810704, s2 = 6546147, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11810704, Dl.E( ) = 68, 2e-05 seconds used appending s1 = 11023523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023523, s2 = 8509270, int(edited[s2]) = 0 s1 = 11023523, s2 = 8509270, d1 = 0, d2 = 0 Dl.O(d1) = 12410161,254743453,7151790,10821640,15638135,17577637,255392470,23733046,23733047,31217303,30155452,25561500,18949214,18949213,268495357,13526011,9257053,9257054,13526004,9257049,6062760,254654361,13526003,10982392,10982390,15847149,13512084,13512083,12011447,12011448,17097983,17393385,17393386,18935359,13499773,9236094,8277954,5341015,3282822,1930718,1103038,1103039,1930721,3282829,5341031,5340892,3282769,1930697,1930696,3282764,5340879,4584434,2758190,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893379,31211062,23909602,17566053,12394649,11244974,7464191,7464190,6745917,4227013,4227015,6745922,8272494,8272496,12248680,17382012,17545453,17545454,18889104,17556598,12385966,12385967,12255635,8276919,8276918,12255633,255554995,31202997,256023374,23715214,23715216,31203001,258248747,87769691,101742618,115788299,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,39882959,257639647,39882957,39882958,49903939,61384462,258871205,101742616,115788294,101742624,87769698,74165080,61384478,257057077,256005627,23715218,31203006,39882964,49903949,61384475,74165077,87769694,101742621,260707635,143013861,155561858,155561861,143013856,129685588,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,39882959,257639647,39882957,39882958,49903939,61384462,258871205,101742616,115788294,101742624,87769698,74165080,61384478,257057077,256005627,23715218,31203006,39882964,49903949,61384475,74165076,260128780,61384467,259495409,49903960,49903961,257057075,31203002,23715217,23715218,31203006,39882964,49903949,61384475,74165077,87769694,101742621,260707635,143013861,155561858,155561861,143013856,129685588,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,268437795,17391363,255554995,31202997,256023374,23867283 Dl.O(d2) = 12410161,254743453,7151790,10821640,15638135,17577637,255392470,23733046,23733047,31217303,30155452,25561500,18949214,18949213,268495357,13526011,9257053,9257054,13526004,9257049,6062760,254654361,13526003,10982392,10982390,15847149,13512084,13512083,12011447,12011448,17097983,17393385,17393386,18935359,13499773,9236094,8277954,5341015,3282822,1930718,1103038,1103039,1930721,3282829,5341031,5340892,3282769,1930697,1930696,3282764,5340879,4584434,2758190,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893379,31211062,23909602,17566053,12394649,11244974,7464191,7464190,6745917,4227013,4227015,6745922,8272494,8272496,12248680,17382012,17545453,17545454,18889104,17556598,12385966,12385967,12255635,8276919,8276918,12255633,255554995,31202997,256023374,23715214,23715216,31203001,258248747,87769691,101742618,115788299,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,39882959,257639647,39882957,39882958,49903939,61384462,258871205,101742616,115788294,101742624,87769698,74165080,61384478,257057077,256005627,23715218,31203006,39882964,49903949,61384475,74165077,87769694,101742621,260707635,143013861,155561858,155561861,143013856,129685588,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,39882959,257639647,39882957,39882958,49903939,61384462,258871205,101742616,115788294,101742624,87769698,74165080,61384478,257057077,256005627,23715218,31203006,39882964,49903949,61384475,74165076,260128780,61384467,259495409,49903960,49903961,257057075,31203002,23715217,23715218,31203006,39882964,49903949,61384475,74165077,87769694,101742621,260707635,143013861,155561858,155561861,143013856,129685588,129685590,143013858,155561864,167192005,164093668,152204957,139474994,126103080,112247121,98267489,84359079,257057070,58083850,61384480,49903954,39882967,39882968,49903959,61384483,74165083,87769700,101742625,260110621,101742620,115788303,129685593,129685586,115788296,259495407,74165073,61384466,49903944,39882960,268437795,17391363,255554995,31202997,256023374,23867283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023523, s2 = 8509270, dlinesl.size( ) = 2 s1 = 11023523, s2 = 8509270, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11023523, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11023573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023573, s2 = 11292208, int(edited[s2]) = 0 s1 = 11023573, s2 = 11292208, d1 = 0, d2 = 7 Dl.O(d1) = 17591138 Dl.O(d2) = 40104246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023573, s2 = 11292208, dlinesl.size( ) = 16 s1 = 13251046, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11023701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023701, s2 = 10455146, int(edited[s2]) = 0 s1 = 11023701, s2 = 10455146, d1 = 23, d2 = 14 Dl.O(d1) = 256026653 Dl.O(d2) = 140207875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023701, s2 = 10455146, dlinesl.size( ) = 32 s1 = 11023731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023731, s2 = 11059880, int(edited[s2]) = 0 s1 = 11023731, s2 = 11059880, d1 = 10, d2 = 13 Dl.O(d1) = 12469487,12469488,17624532,12444180,12444179,12437720,254856275,5424464,3334637,3334638,5424467,8406316,7237071,4562348,4562347,7237068,5432279,5432280,8417264,5449449,3350007,1969557,1969556,3350003,5449439,8439760,255575829,28972813,28972814,26943995,25310807,18734299,18734298,25310805 Dl.O(d2) = 41981468,269982693,119705458,271366945,257017231,30660643,255525041,11887737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023731, s2 = 11059880, dlinesl.size( ) = 8 s1 = 11023741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023741, s2 = 11014220, int(edited[s2]) = 0 s1 = 11023741, s2 = 11014220, d1 = 57, d2 = 5 Dl.O(d1) = 254601927,3354852,1972256,1972257,3354855,5456927,8448635,8405933,5424197,5424198,8405589,8435230,5446064,3347990,3347991,5446067,8435234,12466321,12453434,12453435,8432432,8432433,8441566,5452379,3351871,3351873,5452388,5425449,5425447,5448714,8438665,8412451,5428866,5426828,3336054,1961964,1961965,3336056 Dl.O(d2) = 12078732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023741, s2 = 11014220, dlinesl.size( ) = 44 s1 = 11023897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13296893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13296893, s2 = 11053504, int(edited[s2]) = 0 s1 = 13296893, s2 = 11053504, d1 = 11, d2 = 3 Dl.O(d1) = 31618052,24112744,17752117 Dl.O(d2) = 22524487,22524486,256293852,59726640,255377784,41960252,41960251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13296893, s2 = 11053504, dlinesl.size( ) = 12 s1 = 11024063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024063, s2 = 11406190, int(edited[s2]) = 0 s1 = 11024063, s2 = 11406190, d1 = 41, d2 = 35 Dl.O(d1) = 17755148,256036141,40310073 Dl.O(d2) = 261854445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024063, s2 = 11406190, dlinesl.size( ) = 44 s1 = 11024183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11024299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11024375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024375, s2 = 11235738, int(edited[s2]) = 0 s1 = 11024375, s2 = 11235738, d1 = 0, d2 = 3 Dl.O(d1) = 12639140 Dl.O(d2) = 256549959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024375, s2 = 11235738, dlinesl.size( ) = 2 s1 = 11024375, s2 = 11235738, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11024375, Dl.E( ) = 12, 2.1e-05 seconds used appending s1 = 11024751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024751, s2 = 11013426, int(edited[s2]) = 0 s1 = 11024751, s2 = 11013426, d1 = 6, d2 = 2 Dl.O(d1) = 12730355,12730357,17964292,12829818,8723615,5678680,3531984,2101899,1210207,1210201,2101909,3532025,5678746,6603464,6468037,6468032,9847916,14335424,14604166,14604169,11641921,11641916,16678579,13126307,8946344,8946342,13125785,8946451 Dl.O(d2) = 8946455,13126425,13126420,18333407,18333411,18479969,13128805,13128806,254458220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024751, s2 = 11013426, dlinesl.size( ) = 8 s1 = 11013425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013425, s2 = 11024752, int(edited[s2]) = 0 s1 = 11013425, s2 = 11024752, d1 = 0, d2 = 3 Dl.O(d1) = 254458221,2343271,1357423,773866,439439,439434,773889,1357503,2343458 Dl.O(d2) = 3914800,6253164,3914616,3914618,6253177,9530641,9530638,13889664,19414306,13890300,13890305,15431762,21423176,26896451,28669939,28117282,25099734,25099730,25185914,25185920,26111595,28097650,33947305,33761356,33761353,33845073,28254105,21053507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013425, s2 = 11024752, dlinesl.size( ) = 2 s1 = 11013425, s2 = 11024752, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11013425, Dl.E( ) = 6, 6.91e-06 seconds used appending s1 = 11024767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024767, s2 = 11017546, int(edited[s2]) = 0 s1 = 11024767, s2 = 11017546, d1 = 2, d2 = 11 Dl.O(d1) = 257112573 Dl.O(d2) = 102664761,268209442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024767, s2 = 11017546, dlinesl.size( ) = 12 s1 = 11024815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024815, s2 = 11200144, int(edited[s2]) = 0 s1 = 11024815, s2 = 11200144, d1 = 0, d2 = 8 Dl.O(d1) = 17987654 Dl.O(d2) = 62214508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024815, s2 = 11200144, dlinesl.size( ) = 14 s1 = 11024839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024839, s2 = 11492832, int(edited[s2]) = 0 s1 = 11024839, s2 = 11492832, d1 = 16, d2 = 2 Dl.O(d1) = 12754411,8668742,8668741,8711054,8711053,12812009,18072040,19806395,26614959,19806538,14187306,14187305,19806366,19806367,14187330,9752876,254963185,14187424,14330133,9844029,9844028,14330131,20009401,26890516,34969680,44347256,44350867,54594341,44347423,37814642,29249633,26382056,19647701,19647700,26382055,34259762,43359674,53883909,61508518,52061202,52061203,63879423,53883926,257055835,31186543,31186542,34577795,34577794,43849740,54594347,66853393,80283106,94339260,108626344,122890361,261533611,162077758,173179970,183034013,191646806,264116333,200249620,206312950,264724281,215423685,265170311 Dl.O(d2) = 220797029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024839, s2 = 11492832, dlinesl.size( ) = 14 s1 = 13400041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13400041, s2 = 11580212, int(edited[s2]) = 0 s1 = 13400041, s2 = 11580212, d1 = 48, d2 = 33 Dl.O(d1) = 28945470,28945471,256060267,18039373,12787314,12787313,18039371,18039397,12787340 Dl.O(d2) = 266586866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13400041, s2 = 11580212, dlinesl.size( ) = 28 s1 = 8308246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13253650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11025361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11025421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11025421, s2 = 11365958, int(edited[s2]) = 0 s1 = 11025421, s2 = 11365958, d1 = 0, d2 = 10 Dl.O(d1) = 18239465,256590787 Dl.O(d2) = 157534867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025421, s2 = 11365958, dlinesl.size( ) = 20 s1 = 11025621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11025621, s2 = 6680286, int(edited[s2]) = 0 s1 = 11025621, s2 = 6680286, d1 = 54, d2 = 32 Dl.O(d1) = 10677318,15443899,21439083,268205812,21336398,21336397,28563107,24764644,18287374,12979983,12979984,17925518,17925519,18227867,17699561,12519120,8481516,5482569,5482570,8481518,12518479,8481013,8481014,12518482,13422935,9177446,6006722,254093674,13414468,13414469,18827786,25419764,33160809,28631385,21392540,21392539,15430724,10667576,10667575,15430722,254920818,37189896,47085442,58463579,71185610,257787992,121163102,259657370,121163099,134972017,134972018,126538566,112675945 Dl.O(d2) = 26348177,19619008,14059788,9669373,9669374,11591716,7716293,7716297,11591682,9709709,9709710,254672707,6294216,254951911,19509741,26224454,257256803,65735285,258443618,71114123,269312243,37135813,28623071,21385615,15402240,10645731,7028976,7028977,7378718,4661564,2808373,1629204,1629202,2808368,4661557,7378672,4661532,4661531,7378668,11124541,16022261,16022307,11124579,7378696,7378697,11124530,7378664,7378663,11124526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025621, s2 = 6680286, dlinesl.size( ) = 48 s1 = 10575016, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11025873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11025873, s2 = 14050292, int(edited[s2]) = 0 s1 = 11025873, s2 = 14050292, d1 = 28, d2 = 35 Dl.O(d1) = 256090687,41407984,51648636,63391306,64586565,52685947,42299246,42299245,52685942,64586519,77769463,74550416,61766447,50286563,40265356,31578275,31578274,257670777,39306506,255975105,268243571,24913819,256091823,41426360,51668451,63411722,72670255,72670254,258834798,81038993,269035536,47658645,37736794,33196676,25450521,18852460,13431975,13431977,255664089,33196692,42156172,52514191,52514205,42156179,33196694,33196693,42156175,52514198,64387869,76888042,86406221,77556010,71799152,59058480,59058481,49838143,49838142,59058369,71799072,71799023,71799022,72811128,61321129,49838176,49838177,61321133,60073763,60073762,72811068,74115600,74115601,71799057,59058351,47658001,37736303,37736302,47657997,47657986,37736297,37736298,47657988,59058327,52514219,52514218,49838122,39814854,31132601,23645100,268436301,39814857,49838126,258243953,85557974,71970706,59233148,47835898,37914562,29345478,22013473,22013474,29345480,32345244,32345245,41159856,49834676,39811500,31129370,23641886,23641885,31129366,39811491,49834662,47835924,47369667,47369668,58755569,61321088,61321089,71484265,58755518,47369630,47369631,39826639,39757812,31080117,31080115,39757806,33772486,33772487,31132574,31132575,39814818,49834333,39811207,31129159,23641694,23641696,31129164,28909051,21634607,15603001,10794230,10794228,15602997,21634597,28909042,37318620,47227627,37318650,32494700,24852716,18356344,13032882 Dl.O(d2) = 17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,22167095,29218136,21903808,21903807,21898948,21898949,28319095,21108625,21108626,28319100,36815323,39124368,39124369,39910696,31234938,23751755,23751756,31234940,24320404,17933408,17933407,24320402,31839726,255882350,18130418,18130417,24571773,24571900,32156006,29654879,29393235,22062892,15958425,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,3850075,3850079,6153253,8092347,12036970,17127733,15897013,11020392,11020393,15897014,21995554,26379048,19644985,19644984,26379047,30229318,22837293,16615645,254797665,4882601,4882602,255116521,22837295,30229322,38812087,48732298,50399412,40364221,40364220,50399407,61889757,71394152,58659254,58659253,71394150,58659258,47267607,37357639,28817974,28817976,37357642,47267610,58659262,61333361,49850274,39826661,31144249,31144248,39826660,39826672,39826671,46607270,269350506,60499628,57984007,46607068,36718894,36718893,36718864,28225498,21029480,21029482,21029512,21029511,28225540,36718929,46607115,46607173,51647126,46607161,36718970,36718969,37150978,36719102,28225671,28225670,36719099,46607278,36719359,256101236,38391364,46607075,46607076,46607433,36719248,28225787,28225786,31144261,23657216,17340389,12214184,12214185,268251869,29818870,22451313,22451312,29818867,28225523,28225522,21029502,15104690,10418068,6867802,4310397,254221011,839737,254096855,266129,473505,839719,1484506,2577354,4310238,2577329,2577330,4310240,5475854,5475853,8471388,10417830,7386948,4666720,2811460,2811459,4666716,7386937,7386982,4666759,4666758,7386997,7386897,4666691,2811447,1631002,1631003,2811451,4666697,7386909,10417890,11136879,16039174,21028964,15104250,10417709,6867575,4310264,4092657,2448561,1415710,1415712,2448562,4092662,4310292,2577357,1484507,1484509,2577362,4310302,6867646,10417653,10417654,10417743,6867594,4310271,4310273,6867601,4310308,4310306,4666730,2811465,1631006,1631008,254350529,2577400,2577401,4310369,6867756,10417985,7387066,4666808,2811509,2811507,4666805,7387063,11136995,16039129,16039128,22160305,20139390,254689284,7387053,4666799,2811504,2811501,4666795,7386983,255076797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025873, s2 = 14050292, dlinesl.size( ) = 26 s1 = 11026043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026043, s2 = 6918099, int(edited[s2]) = 0 s1 = 11026043, s2 = 6918099, d1 = 23, d2 = 19 Dl.O(d1) = 13122534,13122535,255636937 Dl.O(d2) = 260073686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11026043, s2 = 6918099, dlinesl.size( ) = 2 s1 = 11026043, s2 = 6918099, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11026043, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 11026101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026101, s2 = 11075700, int(edited[s2]) = 0 s1 = 11026101, s2 = 11075700, d1 = 11, d2 = 11 Dl.O(d1) = 18484769,25013650,256612221,257754733,76808942,63709769,258996245,270496387,98235686,259162952,70769406,257913628,256748208,21086588,21086589,16272176,11314755,7512768,4749180,2862187,1661152,945140,533071,533068,945127,1661123,2862118,4749058,7512585,11314461,8740911,8740910,12853759,255613279,32150720 Dl.O(d2) = 18484769,25013650,256612221,257754733,76808942,63709769,258996245,270496387,98235686,259162952,70769406,257913628,256748208,21086588,21086589,16272176,11314755,7512768,4749180,2862187,1661152,945140,533071,533068,945127,1661123,2862118,4749058,7512585,11314461,8740911,8740910,12853759,255613279,32150720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11026101, s2 = 11075700, dlinesl.size( ) = 2 s1 = 11026101, s2 = 11075700, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11026101, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 11026145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026145, s2 = 7791765, int(edited[s2]) = 0 s1 = 11026145, s2 = 7791765, d1 = 88, d2 = 135 Dl.O(d1) = 254144758,1264186,1264185,2181219,2990419,1923724,1099018,1099020,1737757 Dl.O(d2) = 267550186,267498377,245791151,267457241,245391406,245241264,245081198,244909997,267441859,267498373,246119653,267541975,246309899,275044630,275035398,274983906,267253340,241973361,267167455,267228693,267282593,243592506,243853771,244096564,267371477,267369038,274946125,267228691,267097237,241572110,241138751,267010672,266806028,266451475,234098747,266346626,265742034,202181075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11026145, s2 = 7791765, dlinesl.size( ) = 34 s1 = 11026181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11026393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11026423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026423, s2 = 14085560, int(edited[s2]) = 0 s1 = 11026423, s2 = 14085560, d1 = 1, d2 = 1 Dl.O(d1) = 13212656,13212631,9006497,9006496,13212635,12826550,12826551,18091576,18593759,25150655,25149995,18593326,18593325,25149991,32856796,32857987,32857832,25150867,18593921,13213357,13213356,13213223,13213224,13145580,8959441,8959442,8959453,8959454,13145613,18502839,25036309,22923141,18593773,18593774,18593794,13213263,13213264,9006977,5879591,3670659,3670660,5879597,9006990,13213317,18593861,25150751,32723199,32723198,32856358,25150009,25150010,32856811,32098055,32098051,25149876,25149875,27163843,35267675,41629548,32723359,32723357,25149946,25149947,25150732,32857683,32723276,25150863,18593917,18593916,18502807,13145597,8959447,5848010,3649465,3649466,5848017,8959467,13145632,18502869,13213288,13213286,18502833,25036412,18593788,18593790,13213348,9007007,5879605,5879603,9007001,13213336,18593892,25150793,25036385,20028467,20028468,26912901,34994361,26914031,26914032,25150774,25149883,18593236,18593237,25149889,25036445,25036444,25150763,32723311,25036402,25036401,26913831,26913848,25036370,25036372,25149868,25149867,25036357,18502801,18502800,25036354,32723261,25036436,18502858,18502857,25036430,26913636,26913646,25036407,25036408,32723314,34995095,255738039,18593319,18593320,25149979,32723321,26914202,20029779,14346710,14346711,20029780,26914044,26913563,26913133,20029113,14346050,14346049,20028726,14345722,14345724,14345735,20028749,14346254,9856443,9856440,14346247,20029346,20029233,14346145,14346146,20029237,26913494,20029285,14346190,9856407,6474398,254468359,2428527,1404848,1404847,2428525,2428505,2428504,4057262,6474379,9856306,6474325,4057239,4057238,6474321,9856287,6474309,6474304,6474282,6474283,9856250,6474332,6474333,9856320,9856704,14346527,20029568,20029585,14346519,9856699,6474588,6474586,9856242,9856112,6474187,4057159,4057157,6474181,9856101,14345759,14346227,9856803,6474659,6474660,9856808,9856341,9856256,6474470,4057316,2428539,1404854,799499,799498,1404851,1404842,1404840,2428509,4057272,6474393,6474347,4057248,4057247,6474316,4057231,2428488,1404823,799488,799489,1404829,2428495,4057243,6474336,6474573,6474574,9856683,14346509,14346655,14346656,14346659,11397504,7573015,4789490,254536743,9856090,9856092,14345745,14345652,9856031,9856032,14345654,14346645,9856823,9856824,14345976,9856525,9856504,6474454,4057305,2428533,2428532,4057302,6474444,9856397,9856399,9856641,9856325,9856216,6474255,6474254,6474267,4057202,2428470,1404814,799483,799482,1404808,2428454,4057180,2428568,2428567,4057372,6474580,9856690,9856223,9856221,9856835,6474689,4057441,2428598,2428596,4057438,4057217,4057218,4057430,6474669,9856041,6474612,4057392,2428575,2428574,4057330,6474495,4057343,2428555,2428554,4057338,4057111,4057110,6474070,6474527,9856603,14345669,9856587,6474515,4057347,4057348,6474521,9856596,9855934,9855933,14345522,14345907,14345799,9856129,6474196,6474197,9855991,6474120,4057138,4057139,6474125,9855998,9856626,14345686,14345688,14346427,9856611,9856610,9856860,9856859,14346692,14346480,9856656,6474555,6474554,6474607,4057387,4057386,6474602,9855966,6474105,4057131,2428432,1404795,1404794,2428425,4057117,6474084,9855913,6474160,6474162,9856056,6474507,6474506,9856573,14346395,14346438,20028510,20029165,20029166,14346491,14345784,9856120,9856121,9856010,6474130,4057141,4057142,6474134,9856015,14345630,20028621,14346681,9856849,6474695,6474694,9856845,14346676,15026566,10354405,10354404,14345895,14345897,9856715,6474597,6474596,9856711,9904437,9855958,9855954,9855952,10728484,7088301,7088302,9855905,9855907,7088224,7088222,10728265,10728266,14346100,14346101,14346390,20029477,26912949,20028789,14345789,14345790,20028792,17279039,17279040,21524377,15512295,10728256,10728257,14345623,14345624,15512328,15512723,21524650,15512653,15512652,15512286,14345887,9856773,6474648,4057415,2428586,2428587,4057418,6474653,9856787,10728333,10728332,15512417,20029599,15512400,15512398,10728328,7088312,4462912,4462913,4462870,2681150,2681149,4462865,7088231,10728360,10728428,10728429,15512565,21524658,28788629,26681619,19863475,14231132,14231131,15512511,15512512,21524594,21524369,15512346,10728284,7088185,7088184,10728276,15512281,10728537,10728536,10728526,7088332,7088331,10728522,15512489,15512488,14346577,9856762,9856761,14346590,20029677,26914124,28788502,21524490,15512404,10728322,10523914,7088214,4462860,2681146,1553125,883058,883059,1553128,1553155,2681191,4462889,4462890,7088275,10728433,15512573,21524668,28788379,26681615,26681614,21524600,15512517,10728413,7088264,7088265,10728419,15512552,21524397,21524396,21524412,28788418,21524818,21524810,15512688,15512689,13485999,9226702,9226704,13486004,15512635,15512634,21524745,26914117,28788650,28788497,21524483,15512394,10728594,10523919,6940650,4361824,4361823,2681188,1553151,1553150,2681183,4462928,7088347,10728557,15512741,255842177,37325055,47233842,258065965,65558438,65558440,72586932,59848968,48458255,38546008,38546009,48458256,59848969,59324338,257152980,16008664,11114216,7371412,7371411,10387460,10387459,15062849,16649254,16649255,13157982,8968630,5854835,5854836,8968614,7734397,4896684,4896682,5854900,5854899,5854911,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967562,967564,1702088,267808129,4863276,4863277,7685904,11551757,268093227,7694850,7694851,4869710,2934410,1701840,1701839,2934407,4869706,4869126,4869125,4798483,4798484,7586420,11415362,7730811,7730815,11611036,15021247,10348901,7599113,4807199,4807202,3730953,3730951,5966381,7593537,7593536,11423691,11438432,7605961,7605962,11423384,7593279,7593278,7613911,7601452,4808742,4808744,4808479,4808480,7601025,11413299,7616505,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898673,4809653,6813654,4273718,4273717,4801049,4801047,7496865,7496866,7590818,4801529,2894038,2894036,4801521,7590808,7591266,7608211,7588457,7588456,11417844,11426326,7595474,5683785,5683786,8730445,11439842,16423802,22606847,16426060,11441400,7608106,4813156,2900643,1682851,1682853,2900649,4813164,7608118,11441414,255482773,29977119,38546009,258153761,58467679,58467678,59848969,72058864,72058863 Dl.O(d2) = 13212656,13212631,9006497,9006496,13212635,12826550,12826551,18091576,18593759,25150655,25149995,18593326,18593325,25149991,32856796,32857987,32857832,25150867,18593921,13213357,13213356,13213223,13213224,13145580,8959441,8959442,8959453,8959454,13145613,18502839,25036309,22923141,18593773,18593774,18593794,13213263,13213264,9006977,5879591,3670659,3670660,5879597,9006990,13213317,18593861,25150751,32723199,32723198,32856358,25150009,25150010,32856811,32098055,32098051,25149876,25149875,27163843,35267675,41629548,32723359,32723357,25149946,25149947,25150732,32857683,32723276,25150863,18593917,18593916,18502807,13145597,8959447,5848010,3649465,3649466,5848017,8959467,13145632,18502869,13213288,13213286,18502833,25036412,18593788,18593790,13213348,9007007,5879605,5879603,9007001,13213336,18593892,25150793,25036385,20028467,20028468,26912901,34994361,26914031,26914032,25150774,25149883,18593236,18593237,25149889,25036445,25036444,25150763,32723311,25036402,25036401,26913831,26913848,25036370,25036372,25149868,25149867,25036357,18502801,18502800,25036354,32723261,25036436,18502858,18502857,25036430,26913636,26913646,25036407,25036408,32723314,34995095,255738039,18593319,18593320,25149979,32723321,26914202,20029779,14346710,14346711,20029780,26914044,26913563,26913133,20029113,14346050,14346049,20028726,14345722,14345724,14345735,20028749,14346254,9856443,9856440,14346247,20029346,20029233,14346145,14346146,20029237,26913494,20029285,14346190,9856407,6474398,254468359,2428527,1404848,1404847,2428525,2428505,2428504,4057262,6474379,9856306,6474325,4057239,4057238,6474321,9856287,6474309,6474304,6474282,6474283,9856250,6474332,6474333,9856320,9856704,14346527,20029568,20029585,14346519,9856699,6474588,6474586,9856242,9856112,6474187,4057159,4057157,6474181,9856101,14345759,14346227,9856803,6474659,6474660,9856808,9856341,9856256,6474470,4057316,2428539,1404854,799499,799498,1404851,1404842,1404840,2428509,4057272,6474393,6474347,4057248,4057247,6474316,4057231,2428488,1404823,799488,799489,1404829,2428495,4057243,6474336,6474573,6474574,9856683,14346509,14346655,14346656,14346659,11397504,7573015,4789490,254536743,9856090,9856092,14345745,14345652,9856031,9856032,14345654,14346645,9856823,9856824,14345976,9856525,9856504,6474454,4057305,2428533,2428532,4057302,6474444,9856397,9856399,9856641,9856325,9856216,6474255,6474254,6474267,4057202,2428470,1404814,799483,799482,1404808,2428454,4057180,2428568,2428567,4057372,6474580,9856690,9856223,9856221,9856835,6474689,4057441,2428598,2428596,4057438,4057217,4057218,4057430,6474669,9856041,6474612,4057392,2428575,2428574,4057330,6474495,4057343,2428555,2428554,4057338,4057111,4057110,6474070,6474527,9856603,14345669,9856587,6474515,4057347,4057348,6474521,9856596,9855934,9855933,14345522,14345907,14345799,9856129,6474196,6474197,9855991,6474120,4057138,4057139,6474125,9855998,9856626,14345686,14345688,14346427,9856611,9856610,9856860,9856859,14346692,14346480,9856656,6474555,6474554,6474607,4057387,4057386,6474602,9855966,6474105,4057131,2428432,1404795,1404794,2428425,4057117,6474084,9855913,6474160,6474162,9856056,6474507,6474506,9856573,14346395,14346438,20028510,20029165,20029166,14346491,14345784,9856120,9856121,9856010,6474130,4057141,4057142,6474134,9856015,14345630,20028621,14346681,9856849,6474695,6474694,9856845,14346676,15026566,10354405,10354404,14345895,14345897,9856715,6474597,6474596,9856711,9904437,9855958,9855954,9855952,10728484,7088301,7088302,9855905,9855907,7088224,7088222,10728265,10728266,14346100,14346101,14346390,20029477,26912949,20028789,14345789,14345790,20028792,17279039,17279040,21524377,15512295,10728256,10728257,14345623,14345624,15512328,15512723,21524650,15512653,15512652,15512286,14345887,9856773,6474648,4057415,2428586,2428587,4057418,6474653,9856787,10728333,10728332,15512417,20029599,15512400,15512398,10728328,7088312,4462912,4462913,4462870,2681150,2681149,4462865,7088231,10728360,10728428,10728429,15512565,21524658,28788629,26681619,19863475,14231132,14231131,15512511,15512512,21524594,21524369,15512346,10728284,7088185,7088184,10728276,15512281,10728537,10728536,10728526,7088332,7088331,10728522,15512489,15512488,14346577,9856762,9856761,14346590,20029677,26914124,28788502,21524490,15512404,10728322,10523914,7088214,4462860,2681146,1553125,883058,883059,1553128,1553155,2681191,4462889,4462890,7088275,10728433,15512573,21524668,28788379,26681615,26681614,21524600,15512517,10728413,7088264,7088265,10728419,15512552,21524397,21524396,21524412,28788418,21524818,21524810,15512688,15512689,13485999,9226702,9226704,13486004,15512635,15512634,21524745,26914117,28788650,28788497,21524483,15512394,10728594,10523919,6940650,4361824,4361823,2681188,1553151,1553150,2681183,4462928,7088347,10728557,15512741,255842177,37325055,47233842,258065965,65558438,65558440,72586932,59848968,48458255,38546008,38546009,48458256,59848969,59324338,257152980,16008664,11114216,7371412,7371411,10387460,10387459,15062849,16649254,16649255,13157982,8968630,5854835,5854836,8968614,7734397,4896684,4896682,5854900,5854899,5854911,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967562,967564,1702088,267808129,4863276,4863277,7685904,11551757,268093227,7694850,7694851,4869710,2934410,1701840,1701839,2934407,4869706,4869126,4869125,4798483,4798484,7586420,11415362,7730811,7730815,11611036,15021247,10348901,7599113,4807199,4807202,3730953,3730951,5966381,7593537,7593536,11423691,11438432,7605961,7605962,11423384,7593279,7593278,7613911,7601452,4808742,4808744,4808479,4808480,7601025,11413299,7616505,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898673,4809653,6813654,4273718,4273717,4801049,4801047,7496865,7496866,7590818,4801529,2894038,2894036,4801521,7590808,7591266,7608211,7588457,7588456,11417844,11426326,7595474,5683785,5683786,8730445,11439842,16423802,22606847,16426060,11441400,7608106,4813156,2900643,1682851,1682853,2900649,4813164,7608118,11441414,255482773,29977119,38546009,258153761,58467679,58467678,59848969,72058864,72058863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11026423, s2 = 14085560, dlinesl.size( ) = 2 s1 = 11026423, s2 = 14085560, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11026423, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14085559, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8087876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12070596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11026717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15907353, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11027029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027029, s2 = 11522228, int(edited[s2]) = 0 s1 = 11027029, s2 = 11522228, d1 = 36, d2 = 98 Dl.O(d1) = 254647529 Dl.O(d2) = 184563233,174956797,262152745,264166569,265164031,265532899,228055126,229685005,266094949,232427713,232427715,233599949,266409045,266318936,265979240,265357169,218742572,218742571,218742572,264963338,263842663,192951626,184563231,263100946,270810086,46753255,46753254,39419053,30813907,23384912,17113854,12026474,8085409,5180556,3160956,1850491,1850490,1056140,1056144,1850529,3161032,5180720,8085726,12027029,15203694,15203693,17113606,22346564,18390876,18390877,24891081,32536357,30346244,22944864,22944863,256451679,257576077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027029, s2 = 11522228, dlinesl.size( ) = 20 s1 = 11027149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027149, s2 = 11384134, int(edited[s2]) = 0 s1 = 11027149, s2 = 11384134, d1 = 45, d2 = 103 Dl.O(d1) = 14045353,9657582,9657581,14045351,19601802,18263005,16505248,11501169,11501170,16505249,12963408,12963409,18266884,19601809,14045357,14045356,19601808,15611568,10801058,10801059,15611569,16505255,11501176,7650196,7650194,11501171,16505251,12954923,8815462,8815461 Dl.O(d2) = 181066997,273451693,272707633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027149, s2 = 11384134, dlinesl.size( ) = 2 s1 = 11027149, s2 = 11384134, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11027149, Dl.E( ) = 116, 6.58e-05 seconds used appending s1 = 13270851, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11812034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027375, s2 = 11024662, int(edited[s2]) = 0 s1 = 11027375, s2 = 11024662, d1 = 0, d2 = 21 Dl.O(d1) = 18888454,25493046,256647237 Dl.O(d2) = 77609029,257689768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027375, s2 = 11024662, dlinesl.size( ) = 24 s1 = 16205215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16205215, s2 = 4148325, int(edited[s2]) = 0 s1 = 16205215, s2 = 4148325, d1 = 28, d2 = 63 Dl.O(d1) = 57854766 Dl.O(d2) = 155161336,142517089,129139796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16205215, s2 = 4148325, dlinesl.size( ) = 2 s1 = 16205215, s2 = 4148325, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 16205215, Dl.E( ) = 124, 3e-05 seconds used appending s1 = 11027395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027425, s2 = 11281362, int(edited[s2]) = 0 s1 = 11027425, s2 = 11281362, d1 = 0, d2 = 8 Dl.O(d1) = 18903694 Dl.O(d2) = 64538209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027425, s2 = 11281362, dlinesl.size( ) = 24 s1 = 11027525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027525, s2 = 11048462, int(edited[s2]) = 0 s1 = 11027525, s2 = 11048462, d1 = 1, d2 = 4 Dl.O(d1) = 13492345 Dl.O(d2) = 13492133,9230842,9230843,255265755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027525, s2 = 11048462, dlinesl.size( ) = 8 s1 = 11027563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027563, s2 = 11368828, int(edited[s2]) = 0 s1 = 11027563, s2 = 11368828, d1 = 19, d2 = 11 Dl.O(d1) = 13503928,13503929,13503932,18939889,25552475,33314070,42294380,52680948,64581444,77764641,271046038 Dl.O(d2) = 180981760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027563, s2 = 11368828, dlinesl.size( ) = 20 s1 = 11027607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027607, s2 = 11275682, int(edited[s2]) = 0 s1 = 11027607, s2 = 11275682, d1 = 22, d2 = 16 Dl.O(d1) = 13509749,13509750,18946331,255795771,21874119,21874118,23361072,22846595,21873620,21873621,256362099,47667842,259343347 Dl.O(d2) = 175780241,264200068,260572627,259354313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027607, s2 = 11275682, dlinesl.size( ) = 18 s1 = 13270997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11027935, s2 = 14040142, int(edited[s2]) = 0 s1 = 11027935, s2 = 14040142, d1 = 6, d2 = 5 Dl.O(d1) = 13606487,9317017,9300131,6092149,6092145,7420380,9300095 Dl.O(d2) = 52874700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11027935, s2 = 14040142, dlinesl.size( ) = 2 s1 = 11027935, s2 = 14040142, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11027935, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 14040141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14968419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14968419, s2 = 14839911, int(edited[s2]) = 0 s1 = 14968419, s2 = 14839911, d1 = 9, d2 = 89 Dl.O(d1) = 31890958 Dl.O(d2) = 46760226,36881440,28384815,21166760,15209601,15209602,21166763,255384195,15209597,21166753,28336697,21124587,15176145,10466639,10466638,15176142,21124582,28336690,36833280,256840951,255813125,21166740,15209585,15209586,21166741,255384193,15209593,21166749,28384799,28384798,21166748,15209592,10491686,6918360,6918359,10491684,15209588,21166743,256302313,46760190,46760220,36881435,28384812,28384811,28384795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14968419, s2 = 14839911, dlinesl.size( ) = 2 s1 = 14968419, s2 = 14839911, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 14968419, Dl.E( ) = 92, 3.41e-05 seconds used appending s1 = 11028057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028057, s2 = 11078564, int(edited[s2]) = 0 s1 = 11028057, s2 = 11078564, d1 = 16, d2 = 14 Dl.O(d1) = 254304936,3825869,6083131,6073261,3825926,3825921,3829240,3829245,3978705,6341752,9279416,13554403,254938066,6171499,3861658,2313430,2313431,3861659,3862012 Dl.O(d2) = 2415674,4031170,6425519,9541342,258460671,261763736,30233809,255499173,16618743,22841023,30233812,30235415,22842485,16619819,16619820,22842491,22841339,19484354,13943476,9570420,7716645,4884122,254547129,11592292,16618987,22841378,19484274,13943419,13943418,11535202,11535203,16549758,22762440,268648001,269297026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028057, s2 = 11078564, dlinesl.size( ) = 18 s1 = 11028095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028095, s2 = 11654514, int(edited[s2]) = 0 s1 = 11028095, s2 = 11654514, d1 = 7, d2 = 3 Dl.O(d1) = 267934421,432062,243992,243111,134380,73043 Dl.O(d2) = 428423,754095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028095, s2 = 11654514, dlinesl.size( ) = 12 s1 = 10983507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028335, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11028503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028503, s2 = 12342934, int(edited[s2]) = 0 s1 = 11028503, s2 = 12342934, d1 = 13, d2 = 9 Dl.O(d1) = 13747762,9419440,6171771,3861844,2313502,2313506,2415581,2415585,2313565,2313561,2415562,2415565,4030937,6425111,6160725,6160727,9403406,13727243,13903337,13903338,16758161,22997272,24690168,24690169,19241007,19241006,19064318,19064319,25688288,33460257,42453214,52857237,258005584,50891040,40775234,32019099,24457998,24457999,32019094,40775225,50891031,62490157,61614179,50133406,50133405,53724025,54671640,54671641,257394768,44765669,35339336,35339335,257329795,58738838,58738839,59254658,57850642,268711158,84089091 Dl.O(d2) = 261617893,163633672,168980171,157516444,261374919,260208335,89743874,75964161,62981046,51302517,41119709,32306776,24693914,18225091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028503, s2 = 12342934, dlinesl.size( ) = 8 s1 = 13259178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028887, s2 = 14996098, int(edited[s2]) = 0 s1 = 11028887, s2 = 14996098, d1 = 0, d2 = 29 Dl.O(d1) = 19338701,26013002,33831024 Dl.O(d2) = 211422663,206419006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028887, s2 = 14996098, dlinesl.size( ) = 54 s1 = 11028907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028907, s2 = 11140642, int(edited[s2]) = 0 s1 = 11028907, s2 = 11140642, d1 = 28, d2 = 30 Dl.O(d1) = 13836137,9490404,255699164,9490527,13836327,19346348,19831638,14206390,9766051,9766049,12234314,9766110 Dl.O(d2) = 13548858,13783450,19281581,258446815,63974282,52149715,52149714,60787077,58184382,58184381,64028165,77164237,91074498,257751452,84639869,257163414,59727524,59727525,70868841,58154711,58154710,62021033,50529023,256555737,24284331,17903561,17903560,24284330,31798351,40493379,50529018,62021020,50529010,48149951,38240816,38240815,48149948,59536685,48776961,38856873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028907, s2 = 11140642, dlinesl.size( ) = 28 s1 = 11028917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028997, s2 = 13994286, int(edited[s2]) = 0 s1 = 11028997, s2 = 13994286, d1 = 53, d2 = 60 Dl.O(d1) = 254669305 Dl.O(d2) = 5946619,3718806,3718808,2552211,254324221,6759408,4235780,2532519,1459378,826146,826147,470262,264324,264325,470265,834215,1475299,1999561,1142903,1142904,1999564,3392913,5504113,6821919,4279522,4279519,4264135,4264137,4238166,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,3708566,2220925,2220922,1478244,1288290,735514,418183,418179,236614,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952965,6805729,10338501,15008555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028997, s2 = 13994286, dlinesl.size( ) = 60 s1 = 11029389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029389, s2 = 11253166, int(edited[s2]) = 0 s1 = 11029389, s2 = 11253166, d1 = 26, d2 = 4 Dl.O(d1) = 13973342,9595655,6300253,3947628 Dl.O(d2) = 256634783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029389, s2 = 11253166, dlinesl.size( ) = 34 s1 = 11029439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029439, s2 = 14113142, int(edited[s2]) = 0 s1 = 11029439, s2 = 14113142, d1 = 8, d2 = 11 Dl.O(d1) = 257853385 Dl.O(d2) = 260944611,93237894,93237895,107641394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029439, s2 = 14113142, dlinesl.size( ) = 14 s1 = 11029593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029593, s2 = 11291872, int(edited[s2]) = 0 s1 = 11029593, s2 = 11291872, d1 = 6, d2 = 3 Dl.O(d1) = 256183907 Dl.O(d2) = 53810662,53810663,53810661,53810662,259736613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029593, s2 = 11291872, dlinesl.size( ) = 2 s1 = 11029593, s2 = 11291872, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11029593, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11029629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029629, s2 = 1751781, int(edited[s2]) = 0 s1 = 11029629, s2 = 1751781, d1 = 51, d2 = 74 Dl.O(d1) = 14045610,9657752,9468949,6208736,3886091,2326882,1348755,769576 Dl.O(d2) = 42248154,33268832,33268831,42248153,52633367,52633368,52633366,52633367,42248155,33268832,33268831,42248152,258410911,70410276,57716102,46366680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029629, s2 = 1751781, dlinesl.size( ) = 14 s1 = 11029803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029803, s2 = 11371388, int(edited[s2]) = 0 s1 = 11029803, s2 = 11371388, d1 = 17, d2 = 14 Dl.O(d1) = 19682139,26418627,256709759 Dl.O(d2) = 271118238,272062037,262060096,149609348,136341726,122356824,122356823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029803, s2 = 11371388, dlinesl.size( ) = 14 s1 = 11029857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11005931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11005931, s2 = 13261335, int(edited[s2]) = 0 s1 = 11005931, s2 = 13261335, d1 = 0, d2 = 0 Dl.O(d1) = 254353365,1644598,1644597,2834860,4705846,7448092,11225063,268224503,11225923,7448673,7448672,11225921,11225099,11225098,16156619,20215038,14505748,9981507,6560539 Dl.O(d2) = 254353365,1644598,1644597,2834860,4705846,7448092,11225063,268224503,11225923,7448673,7448672,11225921,11225099,11225098,16156619,20215038,14505748,9981507,6560539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11005931, s2 = 13261335, dlinesl.size( ) = 2 s1 = 11005931, s2 = 13261335, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11005931, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13261336, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14185452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14185466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14185466, s2 = 11535424, int(edited[s2]) = 0 s1 = 14185466, s2 = 11535424, d1 = 49, d2 = 31 Dl.O(d1) = 14727188,10127254 Dl.O(d2) = 265341637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14185466, s2 = 11535424, dlinesl.size( ) = 12 s1 = 11030433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11030433, s2 = 11082370, int(edited[s2]) = 0 s1 = 11030433, s2 = 11082370, d1 = 15, d2 = 17 Dl.O(d1) = 14360182,14360183,20045664,17746765,17746764,267842368,29866120,29866121,29867174,26153819,26153821,30907223,35012854,26931359,26931361,26931378,20045501,20045499,17622905,12441900,8433237,5444470,5444471,8433240,12464578,255186928,40167919,31488148,23991038,17646198,12472839,8442249,8442251,12453640,12453636,17631712,23978623,254601466,44389692,35012870,254598476,14360102,9867356,6481913,4061798,2430945,1406122,267782667,4061803,6481927,9867393,14360186,20045669,26931706,28890688,28890691,31482003,23985234,23985233,31482000,40151274,31467448,30391187,30391186,33862554,33862555,38748862,30165318,25014929,18485884,18485885,25014931,32697472,31469569,31469567,39442524,39441796,30838006,23408995,18548366,13179101,8983501,8983499,13179092,18548346,25095306,32794698,36832349,36832348,41711070,40153382,40153381,38744481,30161397,22772721,16558148,16558149,22772725,30161405,38744498,40169209,50193212,59547507,58197186,58197187,50178425,40153274,40153273,50178420,61664140,60666360,49265643,39339608,30740890,23320545,23320544,30740887,39339605,49265640,255185958 Dl.O(d2) = 22485847,22485848,29850979,31484421,31484422,28234478,28234475,36728452,32291609,32291610,41100943,255257000,27143404,27143403,35239767,44622491,55471888,58056954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11030433, s2 = 11082370, dlinesl.size( ) = 8 s1 = 13262106, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11030487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11030583, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11030973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11030973, s2 = 11491168, int(edited[s2]) = 0 s1 = 11030973, s2 = 11491168, d1 = 11, d2 = 18 Dl.O(d1) = 255753679,35212764,44593440,53117924,42665915,33636275,255842076,42143691,33184209,25438916,25438917,33184212,42143697,255842074,256875070 Dl.O(d2) = 273850092,184892446,273704491,200392090,200392089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11030973, s2 = 11491168, dlinesl.size( ) = 20 s1 = 15091863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11031419, s2 = 11103002, int(edited[s2]) = 0 s1 = 11031419, s2 = 11103002, d1 = 21, d2 = 5 Dl.O(d1) = 14601175,10046937,6602205,4136034,4136033,6602197,5826654,5826653,8927407,13099451,255490567 Dl.O(d2) = 38679488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11031419, s2 = 11103002, dlinesl.size( ) = 24 s1 = 11031735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11031735, s2 = 11458480, int(edited[s2]) = 0 s1 = 11031735, s2 = 11458480, d1 = 17, d2 = 20 Dl.O(d1) = 14932694,10269533,6748594,4228676,2528407,2528408,4228679,4306584,4306586,6862081,10410007,15093653,12664749,8600302,254876121 Dl.O(d2) = 40465494,271880593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11031735, s2 = 11458480, dlinesl.size( ) = 34 s1 = 11031783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031807, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13264570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14502381, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11031995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11031995, s2 = 14333699, int(edited[s2]) = 0 s1 = 11031995, s2 = 14333699, d1 = 4, d2 = 15 Dl.O(d1) = 14993637,10324517,6793505,4259434,4242733,4242732,254706515,14964175,14964856,10297285,10297286,10272853,10272852,254819568,20907202,15070291,13286435,13286434,15041769,10369029,10369030,254641863,5933712,9073663,13291067,9084895,6796720,6791752,4258220,2545705,1466609,829806,829804,1466603,2545691,4258189 Dl.O(d2) = 98528548,261648575,262096034,272796806,144505015,131275530,124216598,260459542,131275577,137182513,263427687,199199378,205443104,210610012,214832446,218308134,221229196,274391247,262114914,261036342,271261086,258600972,150118319,137047971,123288700,123288699,137047970,142662055,155282961,166956883,259228696,194891049,201826639,261591246,214808297,272147944,199146790,191749288,258600970,259228698,123106652,259771199,80529253,80529254,94585869,108862383,123106656,272452185,261853377,130142467,260142517,88182244,88182246,102172181,116232477,130142469,273301990,178084057,169521968,158117788,145720851,132479140,118643577,259829444,259613735,118643576,258373640,258373638,123278896,272455033,173344589,262447016,149771766,136581989,122689410,122689409,136581986,261040390,259857490,115502910,115502909,129393158,260459984,166984597,177505018,271696316,270709462,257950584,256247972,67494889,80424842,257950586,259201298,60981920,49550230,256781228,30955274,39587719,257622579,63420628,258986429,101353236,259207284,60981917,60981918,73748136,259477999,115411074,261266189,155286353,166959163,261036070,194891666,191805984,183222004,173404274,162349497,150199475,137143400,123396850,109191756,94927741,80863934,80863932,94927738,255775860,256793598,162349496,173129630,162004024,149751552,136551069,122645385,108301254,93942544,79849367,79849368,93942546,269690338,87298682,101293083,115362404,259830412,155270049,261581734,158419466,158419467,273221779,196704932,191619607,182997378,173129628,173129627,259849722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11031995, s2 = 14333699, dlinesl.size( ) = 2 s1 = 11031995, s2 = 14333699, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11031995, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 14851691, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11032369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9372972, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11032727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032727, s2 = 10986772, int(edited[s2]) = 0 s1 = 11032727, s2 = 10986772, d1 = 13, d2 = 14 Dl.O(d1) = 255808551 Dl.O(d2) = 254663168,13920091,9554256,254305324,254939608,43050861,46464173,36597771,35405224,27279418,20348539,20348540,20907541,20907540,28080320,36548584,35406914,255202986,28896026,21620405,15590036,10784853,7125847,7125848,254547512,14982124,15590485,21620850,28896399,37437087,40636785,50696101,41686552,32770178,25073235,18530605,13166111,8974409,5858648,3657213,2187696,1269309,725039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032727, s2 = 10986772, dlinesl.size( ) = 14 s1 = 14185660, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11032779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032779, s2 = 11079606, int(edited[s2]) = 0 s1 = 11032779, s2 = 11079606, d1 = 4, d2 = 8 Dl.O(d1) = 15174257 Dl.O(d2) = 255381174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032779, s2 = 11079606, dlinesl.size( ) = 14 s1 = 11032977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032977, s2 = 11380152, int(edited[s2]) = 0 s1 = 11032977, s2 = 11380152, d1 = 11, d2 = 9 Dl.O(d1) = 15221940,10500038,10500039,15221944,256842685 Dl.O(d2) = 259901659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032977, s2 = 11380152, dlinesl.size( ) = 12 s1 = 14852170, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14852170, s2 = 14081000, int(edited[s2]) = 0 s1 = 14852170, s2 = 14081000, d1 = 29, d2 = 27 Dl.O(d1) = 10618071,10618072,10618074,15367524,21342142,21342143,268959268,255497312,47965056,58319701,47424103,47044642,47044641,58419451,53704352,256699155,26243694,19526591,19526590,19526592,19526588,13979628,13979627,13979629,19526589,13979628,13979627,9601654,6305328,6305329,9601655,13979631,19526592,13979633,13979632,19526594,26243696,30879594,39485212,38047700,256399940,23448760,30879609,38047542,47960689,38047697,255888407,16027135,11127895,268083033,22146013,29484259,38047544,31455607,23961486,17612756,17612757,23961489,31455610,24130067,24130065,31637180,40326625,40233576,40233577,38047723,37691122,37691123,30681768,30681769,39278681,47960604,268663120,29483944,38047399,39253677,30657216,23235882,23235881,26243675,26243674,34107081,39772889,39772888,268940109,38061020,30783699,23358847,17090296,17090294,255980295,39385711,39399708,30796630,23370233,23370234,30796632,39399712,43192754,34107102,26243690,19526584,13979625,9601652,6305327,3951330,2366125,1369874,1369877,1748372,994184,994183,1748415,3010008,4982784,7849749,9179626,6008196,6008198,4350646,2605569,1503659,852375,852373,1503650,2605613,4350034,4349450,4349449,4350477,4350480,6925211,10502424,15219998,15219997,13658060,13658057,19128704,25034160,25034159,27972687,30577491,23160685,23160684,21188274,15225709,10502523,6925270,6925269,10502521,10502626,10502627,15225859,21187441,15225066,15225067,15221079,10499438,6923355,4349423,2604919,2604918,4349419,6923349,10499426,15221055,15654992,10835993,7162989,4511441,4511440,7162987,10835989,7165049,7164871,7164874,4668779,2861113,1660500,1660498,2861104,4747544,7510608,11312019,16269012,15656038,11586660,11586661,15656095,21696417,15656256,15656257,21696529,15656221,10837061,10837060,15656217,21696527,17057358,11966297,8010494,8010492,11966292,255498473,16611684,255342318,10833664,7172569,7172570,10849380,15671833,15655678,10836510,7163286,7163285,10836507,7163284,7163283,7465496,7465497,11246773,11242930,7463004,7463005,11243318,11243303,7462997,7462998,7462871,4716022,4716021,2841198,1648160,1648161,2841202,1648195,937136,937137,1648201,2841276,4716220,7463183,9179099,13425433,18843276,13425231,13425229,18843274,25439625,25439638,25439637,23984555,17638796,13185653,13185651,16908563,23172302,30590838,36531916,36416442,27958411,27958410,36416440,38128102,40111584,40111583,39188435,30590893,268557678,31431747,30702321,30702323,31432898,40111761,31543414,31543413,30592899,23174205,16910074,16910075,17594793,17594792,23938583,30593134,23174417,23174416,24270642,24270641,31783445,33108732,33108733,31433942,23942882,23942884,31431263,23941175,23941176,30209285,22817409,16598276,16598278,18702157,18702155,25274464,26979809,30209216,38793803,33067455,25337886,18758187,13357101,13357100,18758185,25337881,33067451,42011532,52350882,64201357,64201358,64201360,52350886,52350885,58752490,71481125,256890812,37461312,28921856,28921857,37461314,39904269,39904271,31227450,23743796,17418874,17418875,23743798,31227452,39904275,47366645,37461319,28921862,21646454,15613540,15613541,21646456,28921866,31283543,31283544,39958328,49923934,61403587,61403608,74183487,61452941,49974910,49974911,50426470 Dl.O(d2) = 17823387,255588733,16885328,11814563,7892596,7892595,11814559,7892593,7892594,11814561,16885323,23145570,30562605,39159962,49089601,60492783,60589346,49189036,39263000,30667340,23251833,23251832,30441917,30441918,30667346,30667345,30667339,30441938,23034881,16791063,16791062,21528493,23251861,23251862,30667382,268249806,255545016,28086179,20913016,16791058,11740361,7838474,4975716,4975718,7838477,10730791,15515597,21528471,28793270,37330423,47240217,58633569,49898235,39876786,39876787,49898236,61378655,61905074,61905078,50414709,40380346,31686573,24177837,17809559,12608133,8557048,8557046,12608130,17809554,22788625,22788626,30177468,38760543,47730300,47730292,37808317,29244056,29244055,31686556,40380328,50414692,61905071,73561621,268676008,39486277,39486278,41905768,255385004,29635011,29635010,38201918,269339703,270321975,99782104,86081273,86081272,72483952,59749601,48366983,48366984,59749603,270328157,59749597,59749596,72483948,72236431,72236430,85216159,99139009,99782107,99782108,113796176,126978304,113119677,99128756,99128755,88165246,88165247,102156586,88165196,74549900,61765995,61765996,74549903,74549927,85216127,71650264,58928251,58928252,71650271,84850636,77304265,64155905,64155906,77304270,85828792,85828793,99128726,102156652,99128777,85206046,85206045,74549963,61766041,50286156,47545891,37639618,29089261,29089260,37639614,47545886,58928258,71650287,85216153,99138999,113129666,102156678,102156679,116218374,130129318,140342261,139976735,126622648,112767250,112767249,126622646,126988013,116218345,102156649,102156648,114267169,113129587,113129586,112860594,98872879,98872881,258858936,129482260,127664398,113796161,113796163,116218317,130129284,130129292,260618550,102156579,102156580,99782109,99782108,113796176,126978304,113119677,99128756,85206025,71640752,71640753,74549930,74549929,88165229,88069901,88069900,100235164,112793918,98801193,84872483,71298000,71298002,84872486,98350664,259281846,85216114,74549895,61765990,61765988,71650281,71650280,84872485,84872486,98350664,259281846,85216114,74549895,61765990,61765989,74549891,88165177,88165286,74549965,61766043,258279691,88165282,88165181,88165182,102156564,113129624,99138972,85216136,71650277,71650279,85216141,99138983,113129638,126978291,113119662,99128739,85206014,71640748,71640750,85206022,259526265,88165272,102156674,260160120,112793941,98801208,84872496,71298005,71298004,84872491,74549895,61765990,61765989,74549891,88165177,88165286,88165287,102156692,98801202,98801203,112793933,99138986,85216143,71650282,71650283,85216146,86269993,72669878,59929933,48536714,257551183,71650248,59766813,48536715,38621836,30048140,30048139,256970301,37632234,29081892,29081894,37632237,47538095,39199240,30602787,28980202,21698069,21698068,28980201,29081900,256897125,39199981,39199979,268923612,25484780,25484781,33233521,28779816,28779817,22339830,22339832,21950018,15859820,10992572,10992571,15859817,254336682,15194369,21147523,28363374,30602791,23183968,16918480,16918479,23183966,23183973,30602797,256468341,23184680,23184681,30601940,23183205,23183206,30601941,30604689,23185649,23185650,30604694,268900809,39198640,30602470,30602471,30603573,23184691,23184693,23184698,23184697,17332293,17332292,23649267,23183507,16918996,11840893,11840894,16918984,268423393,39199973,39198752,30602238,23183496,23183498,30602242,39198758,49126235,60527070,257012823,30602769,30602768,255566861,17532216,23876972,31372202,38960604,38960605,48879224,49126669,48357161,48357162,256888396,61781786,58740218,49126668,39199217,39199216,46682267,36796237,268329500,15149756,10448433,10448434,15149759,21090886,28298970,36796245,39493729,39198249,30887475,23455518,17177885,12078115,12078114,17177884,23455516,30887472,39493731,31597885,31597884,39493743,49423656,50302464,60824146,49423691,49423665,49423652,49423651,49423664,60824135,60824107,49423636,39493732,30887474,30887473,30887468,30887467,39493723,49423635,60824104,258223927,258223929,60824127,49423666,49423667,60824126,73571732,73571719,73571709,60824099,49423632,49423633,53394105,42927989,33881867,33881868,42927991,50584680,62076741,50584681,40548762,31850612,24330748,17942416,17942415,24330747,31850608,40548754,42982704,42982705,40548749,31850605,31850604,40548747,43419147,34317823,34317824,43419148,53945651,66015724,79384064,255804018,79384029,66015693,53945616,53945615,66015691,79384026,93520920,81179069,67713842,55374001,44527733,44527732,51754438,268828856,47729078,59127499,47729090,37807219,29242930,21923533,15837934,10975228,10975226,15837930,21923529,29242925,37807209,44527744,44527743,38600876,31679373,31679372,40372776,31679375,29778823,22413940,16249417,16249416,16249405,11297079,7500398,4741111,4741109,7500393,11297071,16249391,22413901,23736244,23736243,29778761,29778760,23832654,17493987,17493986,23736242,31220032,31220035,31220036,39896853,257600734,48389036,38486140,31323142,23832648,23832649,31323144,40000986,40000989,31323147,31323148,40000991,49163592,44486237,44486236,55332349,55332348,60563273,73306811,73306858,64234724,52379308,52379307,60563335,49163595,49163596,47760852,37838384,30638773,23215625,23215626,30638775,39236799,30638787,23215632,23215631,30638785,39236813,49163566,57759701,46408930,36547332,36547333,46408931,57759702,70454708,83982496,72344673,59610371,48223527,48223526,47831963,40201649,40201651,50223979,58271055,58271056,70985523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14852170, s2 = 14081000, dlinesl.size( ) = 30 s1 = 11032997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032997, s2 = 11189186, int(edited[s2]) = 0 s1 = 11032997, s2 = 11189186, d1 = 67, d2 = 8 Dl.O(d1) = 254722777,4350618,255020831 Dl.O(d2) = 32528379,24884478 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14307709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11033189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11033235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033235, s2 = 14905092, int(edited[s2]) = 0 s1 = 11033235, s2 = 14905092, d1 = 22, d2 = 20 Dl.O(d1) = 15290513,10555559,6961894,4375817,2621102,1512998,857749,857750,1513001,2618704,4371158,6957084,6957152,6957151,10548906,10538827,6950221,6950222,10538829,15272066,21239989,20187780,20187781,27086017,21236662,15268085,10535299,10534301,6961283,4373679,4373678,2673902,2673903,2621993,1513406,1513403,2621981,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4377179,2621739,1513293,1513294,2621746,4377193,6967389,10563599,12070177,8116647,8116650,8103286,8103287,10535851,6948205,6948206,6970128,4378836,4364404,4364403,6067683,6067682,9263861,10530753,10530755,10526628,6945012,6945011,6058231,3790665,3790664,2620194,2620196,4370907,2618573,1511833,857219,857217,1511825,1510819,856758,856759,1510823,2616508,4366780,6949356,10537608,15270723,10560218,10560221,9265287,9265286,9941964,14450971,16219927,16219928,22375770,21235048,15266073,10533605,6946789,4365371,2615854,2615855,4365376,6946796,10533620,15266108,16082626,12060183,9252029,9252028,9255626,8109447,8109446,12053850,17150356,17001101,11914528,11914530,10526610,6942503,6052638,3787527,3787526,6052632,6064250,8110777,5196316,3170435,1856110,1059364,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791692,2273097,2273100,3794862,5939710,9081670,10570023,10564091,8371139,8371136,12387800,12392056,17563196,23906917,18933062,18933060,20141900,21245728,15279245,13506993,13506992,9241566,6052667,3787546,2269182,1316196,1316197,2269183 Dl.O(d2) = 256136081,26116138,26116137,257842949,48757230,38837236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033235, s2 = 14905092, dlinesl.size( ) = 24 s1 = 11033431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033431, s2 = 11041854, int(edited[s2]) = 0 s1 = 11033431, s2 = 11041854, d1 = 10, d2 = 9 Dl.O(d1) = 15337895,21307764,255289148,20328385,20328291,20328290,20021705,20021706,26904801,34648099,43921232,54663818 Dl.O(d2) = 255657396,254917240,36887314,36887313,268758889,23688984,23688983,28451250,28451251,34985152,26904865,22382493,22382492,22382561,16224993,11278940,11278939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033431, s2 = 11041854, dlinesl.size( ) = 14 s1 = 11033809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14245659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11033849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033849, s2 = 11004298, int(edited[s2]) = 0 s1 = 11033849, s2 = 11004298, d1 = 4, d2 = 16 Dl.O(d1) = 15407559 Dl.O(d2) = 254500007,2654321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033849, s2 = 11004298, dlinesl.size( ) = 12 s1 = 8001270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8001270, s2 = 6520418, int(edited[s2]) = 0 s1 = 8001270, s2 = 6520418, d1 = 22, d2 = 28 Dl.O(d1) = 259872160,257537349,72481899,72236176,59500783,48112675,256673760,22282281,16138198,11210647,7438406,7438405,11210644,15433904,15433903,21426066,21388691,15404564,10647408,10647407,15404561,21388674,21388675,23380961,17110709,12024219,12024220,17110713,19225063,13733413,13733414,19225067,15433893,10669808,10669809,15433897,15378726,15378727,21355854,28586559,37092645,30809376,28647778,21405812,15418194,10658129,10658128,10827355,7156558,7156561,10827359,15644665,255213764,25603845,33368503,42357464,255401756 Dl.O(d2) = 7049208,10672781,11646282,254513182,10006166,10006165,13918479,12825564,8719958,5675956,5675955,3941257,3941256,6292522,9586295,13006675,8855173,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,7038533,4428848,2658177,2658176,4428845,7038526,9765331,6420594,6420593,9135007,8725282,8725281,11004701,15875799,12815781,8713556,5672087,5672086,8713551,12815774,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,9124005,7050976,7050975,10675086,13351766,18752205,13351306,13351305,15819215,17062645,11970924,8014853,6199318,6199319,9455130,7285556,4594447,4594446,7285551,11005589,14442311,9934899,9934898,14442309,20136412,25349471,21368753,21368752,18752946,18752945,15872790,13452180,13452181,18877053,255329468,20106704,18047741,12794012,12794009,11000060,7281593,7281592,11000057,15871012,255396118,28568150,255511946,7006528,10617238,15366441,255827637,28568154,37070490,46950173,58317253,71033211,258670025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8001270, s2 = 6520418, dlinesl.size( ) = 2 s1 = 8001270, s2 = 6520418, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 8001270, Dl.E( ) = 30, 1.69e-05 seconds used appending s1 = 13267896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11034179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034179, s2 = 11647832, int(edited[s2]) = 0 s1 = 11034179, s2 = 11647832, d1 = 24, d2 = 26 Dl.O(d1) = 254502400,13669000,9360328,9360327,6592816,4130397,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,3759541,2611833,2611835,4359105,6936959,256307015 Dl.O(d2) = 256432595,16531104,11521307,7664011,7664012,8591541,5582511,5582512,8591532,9699854,8978715,8978714,9699813,14102685,19673093,16011250,16011249,15505565,15505564,21516268,25080556,20120304,20120303,18538454,254722326,8979165,13172321,18538455,23401606,23401604,20287580,14557578,14557579,12370278,12370282,15305704,15305703,12268754,8285018,8285021,12268759,17409029,268915348,41407419,257156367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034179, s2 = 11647832, dlinesl.size( ) = 36 s1 = 11034185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034185, s2 = 11302610, int(edited[s2]) = 0 s1 = 11034185, s2 = 11302610, d1 = 0, d2 = 13 Dl.O(d1) = 21456150 Dl.O(d2) = 71267508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034185, s2 = 11302610, dlinesl.size( ) = 20 s1 = 11034225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034225, s2 = 11154432, int(edited[s2]) = 0 s1 = 11034225, s2 = 11154432, d1 = 16, d2 = 0 Dl.O(d1) = 255037032,4447164,2671728,267825341,7063326 Dl.O(d2) = 4447166,2671729,1547578,879723,255037099,255837499,33065825,26654781,26654782,34645971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034225, s2 = 11154432, dlinesl.size( ) = 22 s1 = 11034229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11034289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034289, s2 = 11139654, int(edited[s2]) = 0 s1 = 11034289, s2 = 11139654, d1 = 38, d2 = 27 Dl.O(d1) = 15477502,15477503,21480675,26395623,31723281,255938168,116453613,258171620,271352894,195456314,261759142,262748068,263182360,200473282,193320598 Dl.O(d2) = 271778679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034289, s2 = 11139654, dlinesl.size( ) = 40 s1 = 15162206, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11034335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034335, s2 = 11022898, int(edited[s2]) = 0 s1 = 11034335, s2 = 11022898, d1 = 2, d2 = 79 Dl.O(d1) = 15486179 Dl.O(d2) = 12391347,12391349,17562330 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16060929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16060929, s2 = 15093284, int(edited[s2]) = 0 s1 = 16060929, s2 = 15093284, d1 = 27, d2 = 18 Dl.O(d1) = 80398393,94457723,108750744,123019519,112888427,98901295,84976294 Dl.O(d2) = 18532474,24470641,24470642,18225846,18225845,24566311,24566310,32149644,40927135,32772281,25075188,18532468,18532469,17478688,17478687,23812608,31298438,39972603,49988431,61465739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16060929, s2 = 15093284, dlinesl.size( ) = 2 s1 = 16060929, s2 = 15093284, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 16060929, Dl.E( ) = 46, 1.88e-05 seconds used appending s1 = 11034483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034483, s2 = 10778853, int(edited[s2]) = 0 s1 = 11034483, s2 = 10778853, d1 = 5, d2 = 6 Dl.O(d1) = 10422702,268065979,256048232,25888235,19228427,13736306,254614274,25888233,31252284,254139420,24113870,17753077,17753078,24113872,17758669,17758668,24119772,24101465,24088216,23831969,17739606,17739608,21201257,254412062,16894769,17449470,12300525,8511207,5510904,5510901,8511196,9410690,8275409,5339587,3282074,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100740,1926512,1100758,617812,617813,1100766,1926578,3275505,5328929,8259653,8259652,12232196,17362153,17758086,12565977,12565973,16054777,11147538,11147540,12279897,8293266,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,5538743,5538748,7430584,5538739,5538741,8540667,12565854,12550988,12550989,12252945,12252944,17362365,12232348,12232347,12280832,8293937,8259862,8259863,8259719,5328821,5328819,8259712,9234018,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,12552613,12234588,8289672,5534834,3420361,3420362,5534843,8293841,8542468,5540099,5540097,8294021,5350815,3288620,1933972,1104684,619829,619826,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4464515,2682217,2682213,4464491,7090504,10731389,15516483,21529681,28794811,37332237,256003338,21700132 Dl.O(d2) = 15660055,21700151,28982587,37526525,47434119,51336892,41151520,41151521,36992422,31242935,23758767,23758768,25968673,28494949,36992393,46871093,49223179,39296158,39296130,30698510,23282974,17023798,17023800,23282977,30698516,37526662,28982727,28982728,37526667,47434278,47434250,268620467,28982699,37526641,38957267,39918373,49936296,49936338,39918420,31242892,31242893,39918363,49223148,39296122,31243008,31242987,31242988,39918531,31246987,31242845,23758791,23758790,31242969,39918277,39918278,49936188,47434066,47434067,53624245,49936419,39918493,39918492,39918566,31243017,23758810,23758809,31243012,31263896,31242800,23758668,17431435,12286208,8297246,8297247,12286211,17431442,23758679,31242818,31243060,23758834,17431528,17431529,23758838,23758710,17431463,12286220,8297252,5352617,5352618,8297256,12286230,17431483,23758695,17431453,17431452,23758692,31242836,23758800,23758799,31242990,39918533,39918517,39918518,48255146,59641743,65672206,59641689,48255079,256336180,22410031,22410033,29773672,38344824,48255087,39918320,268438601,23758676,31242809,31243027,23758815,17431519,12286250,12286249,17431515,23758804,31243002,39918550,43930978,43930977,43930972,43930971,49936513,59525903,49881464,269372260,54673320,43930990,43930988,38365730,38365729,48277305,43123410,34047888,34047886,43123405,53624222,58820801,61507009,74193196,61414389,49936192,47685399,37763214,29201768,29201769,256905361,49881460,39858452,39858451,49881458,49936228,52360012,53624237,269789360,47685382,47685381,49202917,49202913,39918615,39918616,49936517,61414618,71548563,61414710,58824090,47437371,37529409,28985027,21702075,21702077,28985033,26678305,26678306,34671567,43945770,47685424,37763238,37763239,39467721,39467719,49396171,58820794,47434269,37526653,28982716,28982715,21889183,15812427,10957954,10957952,15812418,21889164,29201808,37763285,47685489,48267163,48267162,49162458,49162459,60562236,73305889,86916315,85123182,85123183,257015428,47853021,47853020,47437388,47437389,38295697,29728859,29728860,38295699,48204901,39467596,39467595,37763295,36513337,36513339,46372188,43915592,34642417,26651229,26651230,34642420,43915599,38894228,36513316,36513318,29271331,29271332,37837555,29783725,29783724,29366578,22035916,15934238,15934239,22035923,15994663,15994664,22105792,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950570,30352290,23587677,23587680,31071187,32955794,31263864,23778557,23778558,28985421,28985420,28049154,20880755,14978565,10310932,10310931,14978560,20880744,28049133,21701017,15660665,15660666,21701019,28983692,255512526,255043032,15011574,10340897,6807600,4269622,4269621,6807599,10340891,15011565,20917810,28091990,28092076,36562084,46426267,39022947,30433381,30433380,30433385,28048511,20880228,20880227,28048507,255439764,20917842,255792113,36562136,36561773,28091720,28091719,21973139,21973140,29300226,37869818,46661051,36775526,36775527,41573190,268615422,41571231,51860925,47794580,37869795,29300196,29300195,37869791,47794576,49794239,49794240,46866243,46866241,49965372,47794584,47794585,47794594,59194899,61273198,58234107,46866239,46661058,46661059,58033895,49794237,39774653,31096510,23612690,23612691,31096513,39774641,49794232,61273196,72106571,72106572,74146082,74223124,87828082,259162146,72106536,72106555,258741757,59374111,47984255,38072123,38072122,46512895,51853867,47984170,256826019,28169969,22167735,22167736,256386107,47984221,58158940,47984274,47984275,47984197,257508573,57869482,46513198,46513197,54678535,43936083,269174419,258640107,57869322,268906985,28169911,256826007,54678536,57868999,46512563,46512562,36644914,28169971,28169972,36645354,36645352,28169970,256287735,255799871,20989325,28169859,36645257,29508363,28169937,28169935,36645327,28169955,20989413,15076262,15076265,15076071,15076072,255799857,20989155,15076389,14458673,14458675,15076276,20989425,255373463,15076423,20989126,20989359,15076215,15076216,20989153,16044703,11140645,11140644,16044670,11140624,7389347,4668185,4668184,7389345,11140622,16044669,20989176,15076091,10398677,10398676,11531840,16545655,22757469,22757468,20989195,20989193,20989388,15076242,15076241,10398793,6854866,4301962,2572069,1480794,1480795,2572073,4301968,4854159,4854160,7671624,6854764,6854763,10398636,10398646,15076058,15076066,10398797,10398798,15076280,15076219,10398753,6854842,6854841,10398751,15076213,20989355,20989412,15076261,10398867,6854905,6854906,10398871,11531871,7671667,254326498,1696847,1696846,2925170,4854174,7671650,255110839,20989604,15076381,15076380,10398905,6854930,4301993,2572087,1480802,836994,836993,1480798,2572082,4301984,6854768,4301911,2572045,2572046,4301914,6854774,10398652,255011165,6854740,4301887,4301888,6854743,10398584,10398583,10398770,6854851,4301954,4301956,6854855,10398779,15076248,255011194,30784759,30536864,30536865,39135886,49066236,60469736,255517404,39386885,30784754,30784753,39386883,38463090,29905800,29905801,268740423,255655973,254916221,5969989,9123444,13351185,18752103,256118515,42004522,52343445,256633660,42004522,260262905,114508828,100485022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034483, s2 = 10778853, dlinesl.size( ) = 2 s1 = 11034483, s2 = 10778853, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11034483, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 10778852, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11034699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034699, s2 = 8365876, int(edited[s2]) = 0 s1 = 11034699, s2 = 8365876, d1 = 2, d2 = 66 Dl.O(d1) = 15566017,254739983,4478889,2691030,1558946,886317,500093,500095,886322,886363,500116,500117,886379,1559077,267825895,7114283,10767495,255414019 Dl.O(d2) = 257853916,107647632,93244855,93244854,107647630,272855798,62037605,257688758,59408667,59034473,59034472,257499633,37931659,29365300,22034808,257499631,71985560,85572751,99519565,113530923,127400967,140756589,141139512,127782592,127782591,141139510,153436776,141139512,127782592,113908057,99889591,85934411,72340666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034699, s2 = 8365876, dlinesl.size( ) = 54 s1 = 11034827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11034947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034947, s2 = 11195614, int(edited[s2]) = 0 s1 = 11034947, s2 = 11195614, d1 = 12, d2 = 9 Dl.O(d1) = 15621754,10810344,7143259,7143260,10810345,15621805,15621804,256343655 Dl.O(d2) = 257108981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034947, s2 = 11195614, dlinesl.size( ) = 8 s1 = 11035001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11035071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13990885, s2 = 11035072, int(edited[s2]) = 0 s1 = 13990885, s2 = 11035072, d1 = 0, d2 = 0 Dl.O(d1) = 197864614,190277062,181487461,171474318,160259848,148011901,134892016,121090482,106831087,92519614,78479833,65195450,53209742,42760085,256132834,19261440,13765789,9435309,6183896,3869840,2317784,1343949,1343950,1344217,1344216,2318581,2341502,2341362,2341366,3892879,3892877,6219470,9484704,13829024,19337775,26012132,33830156,257242221,258451709,259080337,107013090,121305393,135155149,261446108,259041232,102039192,91178500,77260083,64113382,52264549,41926075,32985721,25262257,18690785 Dl.O(d2) = 197864614,190277062,181487461,171474318,160259848,148011901,134892016,121090482,106831087,92519614,78479833,65195450,53209742,42760085,256132834,19261440,13765789,9435309,6183896,3869840,2317784,1343949,1343950,1344217,1344216,2318581,2341502,2341362,2341366,3892879,3892877,6219470,9484704,13829024,19337775,26012132,33830156,257242221,258451709,259080337,107013090,121305393,135155149,261446108,259041232,102039192,91178500,77260083,64113382,52264549,41926075,32985721,25262257,18690785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13990885, s2 = 11035072, dlinesl.size( ) = 2 s1 = 13990885, s2 = 11035072, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 13990885, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13323186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11035387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035387, s2 = 11436754, int(edited[s2]) = 0 s1 = 11035387, s2 = 11436754, d1 = 16, d2 = 21 Dl.O(d1) = 257477787,258711229 Dl.O(d2) = 261683071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035387, s2 = 11436754, dlinesl.size( ) = 26 s1 = 11035481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035481, s2 = 15193564, int(edited[s2]) = 0 s1 = 11035481, s2 = 15193564, d1 = 18, d2 = 4 Dl.O(d1) = 254750413,2734956,1584738,902316,508926,254121923,1587289,2734845,2734844,4549646,4555169,254513245,2741351,2741350,4558964 Dl.O(d2) = 2739643,2736924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035481, s2 = 15193564, dlinesl.size( ) = 20 s1 = 11035827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035827, s2 = 13451016, int(edited[s2]) = 0 s1 = 11035827, s2 = 13451016, d1 = 19, d2 = 5 Dl.O(d1) = 270831195 Dl.O(d2) = 1344235,1344237,2318579,2341506,2341435,2341436,3910687,254948233,19404808,26094112,33927337,256029744,57726498,46376213,36516965,28052446,28052447,36516968,39356979,39356978,49284028,50225735,50225734,46376259,38280606,37308151,37308150,30805214,23377104,23377102,30805211,39410220,40204613,47910875,37994834,29432426,22100404,22100403,29432422,37994827,47910866,47910826,37994749,29432351,29432354,22100376,15990732,11100786,11100785,15990730,22100373,29432371,37994779,44400845,55248747,50651062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035827, s2 = 13451016, dlinesl.size( ) = 8 s1 = 15092483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11035883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035883, s2 = 11436488, int(edited[s2]) = 0 s1 = 11035883, s2 = 11436488, d1 = 11, d2 = 2 Dl.O(d1) = 258101335,259968237,259968238,153297882,273344125,193632468,200738641,206735005,211689152,264489776,221913944,221913945,219086737,215738186,263883348 Dl.O(d2) = 263890684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035883, s2 = 11436488, dlinesl.size( ) = 2 s1 = 11035883, s2 = 11436488, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11035883, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11036101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036101, s2 = 11447082, int(edited[s2]) = 0 s1 = 11036101, s2 = 11447082, d1 = 12, d2 = 11 Dl.O(d1) = 15894353,11018428,7294421,7294420,9562607,13931641,19466597,26167153,29317177,33386491,33998623,33998622,37889063,37889062,32997820,28328561,21118179,15171422,10463420,10463421,14338079,20019061,26901449,23320053,19149289,19149287,25794696,19436700,13907963,13907962,19436699,26131887,33970639,40870019,37889126,29320880,29320879,37889124,40447926,33966755,259721265 Dl.O(d2) = 273030597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036101, s2 = 11447082, dlinesl.size( ) = 14 s1 = 14839912, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11036217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036217, s2 = 11119216, int(edited[s2]) = 0 s1 = 11036217, s2 = 11119216, d1 = 12, d2 = 8 Dl.O(d1) = 15925399,11048522,11048521,15925398 Dl.O(d2) = 256918631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036217, s2 = 11119216, dlinesl.size( ) = 8 s1 = 11036303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036303, s2 = 10941492, int(edited[s2]) = 0 s1 = 11036303, s2 = 10941492, d1 = 2, d2 = 5 Dl.O(d1) = 27211347,29394224,29394225,29218179,29212969,21898868,15820277,15820278,21899221,23187142,27209670,20281513,20281512,23187891,21901955,21901952,15946595,15946594,22049854,17759288,12566984,8522092,8522091,12566978,17759281,23186497,20282018,14552733,10964277,10964276,15821274,19800715,26608233,20282538,14553105,14553104,16780230,15162892,10456831,10456832,15162897,15820217,10963664,10963666,15820226,19794757,20280212,19793367,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142880,10243495,8770683,8770684,12894777,16601953,11578811,7707080,4877692,4877691,7707077,11578806,15623925,15623922,21660051,28938869,22052606,22052605 Dl.O(d2) = 29382741,257500743,269803981,257500741,65968603,256444132,34279972,255944302,53902366,65968606,65968605,257569028,65968606,76842276,258177572,65968603,65968604,53902363,43378668,34279972,26405126,26405127,34279976,43378674,47025164,40384499,34279303,26404328,19670072,14100434,14100435,19670076,26404337,31227813,26405162,19670830,14101021,14101020,14101131,14101132,19670958,26405319,34280152,39904479,39904482,39904702,34281538,26406762,19672338,19672334,26406755,257268963,60152898,48758897,38839337,30255786,22860546,22860547,26406981,34281783,38635420,30061469,30061470,38635422,48549808,59942045,72681133,61403736,49924149,39904518,31227688,23744165,23744166,23744178,23744179,29168908,36857831,46739510,53903606,43380001,43380000,53903604,65969935,71183455,71183456,70824955,58109659,46739514,256865312,70824956,84382888,86484149,258410860,259306338,74183535,61403670,49924034,39904390,39904389,40333725,31644686,31644687,31227674,23743996,23743995,31227673,39904502,31594536,31594537,26406709,26406710,34281465,31227585,31227586,34281444,34281445,28359803,21144619,21144618,28359796,36857753,46739434,39926077,31250516,23766017,255500984,33480794,25707255,255276813,13622186,19080341,25707254,33480792,42474271,257196310,268382214,15416819,21404121,255662190,21386561,28607188,256859703,58372759,47002678,47002679,58372626,47002499,37116656,33164581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036303, s2 = 10941492, dlinesl.size( ) = 8 s1 = 10941491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10941491, s2 = 11036304, int(edited[s2]) = 0 s1 = 10941491, s2 = 11036304, d1 = 16, d2 = 14 Dl.O(d1) = 46994359,46994358,257319851,257310283,35085145,35085144,40634712,40634713,256073481,24635486,25589208,18980216,18980219,18980207,18980205,25589186,33349513,42330946,52717990,58364428,52476028,256859702,30256390,30256391,255662191,18829392,21339312,268382215,257196311,40124336,33349566,33349567,26406861,19672403,255276812,28504676,28504675,255500985,16634290,22860730,30256006,37186122,28665049,21419135,15428553,15428554,21419142,28665061,36834257,33268200,33268199,38839881,42474504,33481121,33481122,37556075,37130428,28618678,28618676,37130425,47017900,42474409,42474408,47095563,47081525,37186317,37186316,47081521,58459500,259306339,258410861,64531729,52632871,42247662,256865313,37186207,47081450,53014304,47090255,47090254,48759029,38839475,38839474,48758463,38838692,37186202,28665135,28665136,30254959,38838683,39524361,39524360,48758363,48758364,48758365,60152521,72888693,86483940,72889213,60153108,48759167,38839656,30256147,22860863,16634376,16634377,22859983,30255187,38838891,48758619,60152715,257268962,30255097,22859924,22859929,30254952,30254951,37556147,30254788,30254785,38838546,38839575,30781493,23356840,22859281,16633674,15075087,15075088,20987916,22884169,22860807,16634344,16634343,22860803,30256098,22884050,22884052,30256067,22860779,16634324,11603383,11603379,16634317,22860767,30256055,38839588,48759109,48759108,258177573,60153079,48759111,257569029,48759110,48759111,38839591,255944303,22860767,256444133,48759108,257500740,269803980 Dl.O(d2) = 22052603,15949177,11068117,7338908,4635679,2795570,2795568,4641552,7348838,8721685,12827539,18092723,18181968,12894762,8770672,7340433,7340435,11057300,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920925,1619149,2791024,4633077,7334363,11061361,11061377,11061375,11070113,11060431,11060432,15939218,15940518,11061318,11061317,15940512,11077817,11077816,15940566,11081813,7348333,4641239,4641237,4641356,7348506,11082086,15966495,15966583,16040767,15947244,15947245,22050520,29373816,29373815,29392411,22061910,15957481,11074760,7343418,7343417,9232113,9232115,11061691,7334560,7334561,7342821,11058771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10941491, s2 = 11036304, dlinesl.size( ) = 18 s1 = 11036457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036457, s2 = 13016671, int(edited[s2]) = 0 s1 = 11036457, s2 = 13016671, d1 = 5, d2 = 27 Dl.O(d1) = 22106733 Dl.O(d2) = 264731907,264965549,211425527,206421884,200372350,193211891,184869783,175317123,175317122,184869780,193211886,273852591,206421881,211425526,215516003,218895903,221749279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036457, s2 = 13016671, dlinesl.size( ) = 12 s1 = 11036469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036469, s2 = 10791010, int(edited[s2]) = 0 s1 = 11036469, s2 = 10791010, d1 = 0, d2 = 0 Dl.O(d1) = 15999693,15999757,22111928,23131294,23131293,30549432,29445769,23131649,23131648,23131654,23121054,16861161,16861162,22111727,15999628,11107524,11107525,15999633,11802560,11802558,11798137,11798136,7882617,5005931,5005930,6855601,10399944,11107833,11107830,10870192,10870191,15702642,16083057,11792672,11792673,16860426,16860956,16860955,22111485,22214705,16861023,11793186,7875273,5005736,3026395,3026396,5005742,7882316,11801745,16870467,11802223,11802224,11802073,7882528,5005881,3026475,3026474,5005879,7882521,11802069,16859821,11792135,11792133,7882487,5005858,5005857,7881176,7879237,7879236,11798028,16866486,16872482,16872481,23131812,16871517,16871518,23130993,16870606,11801500,7882135,7882137,11798339,7879508,7879509,11129576,11800800,11799969,7880856,7880854,7882710,5006004,3026547,3026548,5006005,7381662,7381661,11128896,7382156,4663857,4663856,5007729,7885113,7410042,4682197,4682196,7410040,8206866,8206867,6583410,4124832,2467637,1426381,811384,459780,259275,259276,459782,811390,1426394,2467661,4124874,6583458,10016377,11129111,7381841,4663587,4663586,6582283,4124052,4124051,4663549,7381776,7381864,7381865,6582239,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,632604,1128160,1976304,3360743,5465308 Dl.O(d2) = 15999693,15999757,22111928,23131294,23131293,30549432,29445769,23131649,23131648,23131654,23121054,16861161,16861162,22111727,15999628,11107524,11107525,15999633,11802560,11802558,11798137,11798136,7882617,5005931,5005930,6855601,10399944,11107833,11107830,10870192,10870191,15702642,16083057,11792672,11792673,16860426,16860956,16860955,22111485,22214705,16861023,11793186,7875273,5005736,3026395,3026396,5005742,7882316,11801745,16870467,11802223,11802224,11802073,7882528,5005881,3026475,3026474,5005879,7882521,11802069,16859821,11792135,11792133,7882487,5005858,5005857,7881176,7879237,7879236,11798028,16866486,16872482,16872481,23131812,16871517,16871518,23130993,16870606,11801500,7882135,7882137,11798339,7879508,7879509,11129576,11800800,11799969,7880856,7880854,7882710,5006004,3026547,3026548,5006005,7381662,7381661,11128896,7382156,4663857,4663856,5007729,7885113,7410042,4682197,4682196,7410040,8206866,8206867,6583410,4124832,2467637,1426381,811384,459780,259275,259276,459782,811390,1426394,2467661,4124874,6583458,10016377,11129111,7381841,4663587,4663586,6582283,4124052,4124051,4663549,7381776,7381864,7381865,6582239,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,632604,1128160,1976304,3360743,5465308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036469, s2 = 10791010, dlinesl.size( ) = 2 s1 = 11036469, s2 = 10791010, "passes" = passes Sat Dec 09 04:19:12 2017: s1 = 11036469, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10791009, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13308611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13308611, s2 = 14560761, int(edited[s2]) = 0 s1 = 13308611, s2 = 14560761, d1 = 117, d2 = 158 Dl.O(d1) = 21218358,21218359,28444370,36943997,36875878,28379202,28379201,31077317,24300530,17917381,12694371,8623798,8623797,12694364,17917374,22079335,15973701,15973702,22079336,29409840,31816420,31816473,30260128,22864198,22864196,30260123,30260438,33069968,33293856,25532520,18921798,13489395,9229071,6044495,6044494,9229065,10258361,10258360,14918431,20814764,16996555,11910949,9129708,5974527,5607036,3481830,3481831,5607039,8623878,12694499,17917452,17917451,17917477,17917478,17917489,21036627,21036625,16186279,16186267,11251187,11251189,16186275,22333157,22865002,22865001,24300563,29460796,22864988,22864987,17963162,17963163,13531841,13531840,18967389,17177562,17177561,23112030,17917520,17917519,24300689,17963158,12729348,12729352,16636860,16636861,22864037,18760262,18760260,16637792,16637793,22864465,18760059,18760060,25340067,30260450,22864506,16637819,16637821,16011643,16011640,22124090,16009937,11115258,11115259,255450163 Dl.O(d2) = 257809724,85878387,85878386,85878374,72286486,59552356,48165700,38256274,38256273,48165698,59552355,255555976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036677, s2 = 11096040, int(edited[s2]) = 0 s1 = 11036677, s2 = 11096040, d1 = 5, d2 = 9 Dl.O(d1) = 16042756 Dl.O(d2) = 255731007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036677, s2 = 11096040, dlinesl.size( ) = 14 s1 = 11036721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036721, s2 = 11017030, int(edited[s2]) = 0 s1 = 11036721, s2 = 11017030, d1 = 1, d2 = 8 Dl.O(d1) = 16051039 Dl.O(d2) = 254524921,254235541,928334,523242,293245,293246,523245,928308,1632379,2813658,4670092,7391905,4670006,4670005,7391901,4670817,2814100,2814099,4670815,254510132,16053565,22179707,16432211,16432212,22616843,29984012,37096706,255032494,15380945,15380946,21358718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036721, s2 = 11017030, dlinesl.size( ) = 8 s1 = 11036817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10659135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11036991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036991, s2 = 11333772, int(edited[s2]) = 0 s1 = 11036991, s2 = 11333772, d1 = 4, d2 = 8 Dl.O(d1) = 258749527 Dl.O(d2) = 264210822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036991, s2 = 11333772, dlinesl.size( ) = 14 s1 = 11037023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11037189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037189, s2 = 11257238, int(edited[s2]) = 0 s1 = 11037189, s2 = 11257238, d1 = 6, d2 = 3 Dl.O(d1) = 254774613,4717602,2842071,254354167,255465083 Dl.O(d2) = 59537197,48150596,257521883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037189, s2 = 11257238, dlinesl.size( ) = 8 s1 = 14186000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14186000, s2 = 3109458, int(edited[s2]) = 0 s1 = 14186000, s2 = 3109458, d1 = 60, d2 = 110 Dl.O(d1) = 200986605 Dl.O(d2) = 112312547,112312548,271991560,126173292,139548798,152280008,164164790,263083009,192969392,200162640,206236319,211258718,215362236,218753006,221615934,224074558,226206718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14186000, s2 = 3109458, dlinesl.size( ) = 26 s1 = 11037491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037491, s2 = 10610299, int(edited[s2]) = 0 s1 = 11037491, s2 = 10610299, d1 = 15, d2 = 17 Dl.O(d1) = 16246517 Dl.O(d2) = 4740413,7499164,255092399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037491, s2 = 10610299, dlinesl.size( ) = 20 s1 = 13424917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11037837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7954258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11037937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037937, s2 = 11008778, int(edited[s2]) = 0 s1 = 11037937, s2 = 11008778, d1 = 11, d2 = 9 Dl.O(d1) = 17716375,254418616,8274481,8274480,12251728,16889833,17386151,17386153,17704042,17704041,24058962,24135038,24135039,17801882,12601615,8551626,5549554,3434819,3434816,5549544,8509140,12549986,12584593,12584594,12601567,12601568,17743128,12554348,12554349,17743131,18550102,13180200,13180201,12521832,8483556,8483555,12521830,17703383,17810399,17704074,17704076,12556459,12556460,17746003,24071804,254277902,8493571,5494585,5494584,8493569,12532200,17715509,23319580,17386465,17386466,16890679,16890678,17386115,23709539,24084064,17817324,17817325,24179483,24154536,19836943,17801612,12601414,12601413,17801609,16612685,16612686,16612697,16612695,20148399,20148402,17787906,12589854,12589858,12608060,8556979,8556982,8551664,8551662,12535049,9943848,9943846,8484112,8484108,12522343,9187818,9187817,13438708,18861926,25462265,19836663,14211279,14211275,19837349,20151009,20151008,27043596,24072618,24071816,20148680,14453577,14453575,17837552,16612428,11587095,11587096,16612434,14128146,9719742,9719741,14128142,19704129,17718656,12535299,12535301,17718661,17736512,24094633,30237419,24082947,20012008,14332250,9845536,6466355,4051513,4051511,6466352,9845532,9191919,9191922,13442695,15889052,12624026,8570149,5565911,5565909,8570114,8570113,6535744,4095004,4095005,6535749,8577263,11581472,12623952,11744062,11744065,16796253,16470583,16470584,18976462,13540704,13540702,16470440,16470439,22665380,30040647,37633218,29083119,21785482,15726920,10890435,10890434,15726918,21785479,29083116,34321134,26444147,26444146,26893395,26893396,34972396,43421141,40267367,40267368,50288644,44349668,43420604,34320058,26442304,26442303,254227168,27120114,20216817,19704430,14996913,14996914,20901683,20012172,14332381,14332380,20012170,21065488,15131371,15131372,21065490,255582106,255087218,14332527,9845719,6466442,4051544,2424710,2424709,4051538,6466422,4713682,2839649,2839646,4713528,4713533,4713573,4713571,7459416,7201805,4537305,2727302,2727303,4537314,7201823,8266694,5333809,5333812,8266703,10890153,15726457,11239427,11239424,12244014,11239548,11239547,12310683,12310681,8449566,5457777,5457774,8449554,268258907,256011748,31491680,23994218,21799964,21799965,29097388,255166050,37643288,29093426,21795666,15736437,15736435,21795664,21792871,21792870,28267708,22310263,16163241,16163240,22310261,29662888,29091786,21793687,15734820,10897683,10897684,12237930,15734957,15734958,15736239,10898576,10898575,15736236,17041222,12310745,8315157,5365356,5365358,8315160,12310750,10897355,10897356,15734286,21792954,24153761,23797068,17465372,12313297,12313298,17310113,23625740,21784941,15726422,15726421,16171383,15734436,15734435,15130807,15130806,254398702,10898758,7208238,4541792,4541795,7208247,9174813,13418879,18833916,15736642,10898831,10898833,15736649,17041192,17041194,21793785,21793244,15734509,15734512,15720595,15720594,11239743,11239741,12310769,10883913,10883915,7196612,4541389,2730063,2730064,4541395,7207489,10897423,15734396,17457411,15734525,254587980,254268178,22924568,16690182,11651290,7763269,7763271,11651298,11651343,11651345,8317810,8317811,12314177,254185110 Dl.O(d2) = 61454616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037937, s2 = 11008778, dlinesl.size( ) = 12 s1 = 11038109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038109, s2 = 11329506, int(edited[s2]) = 0 s1 = 11038109, s2 = 11329506, d1 = 18, d2 = 3 Dl.O(d1) = 255923995 Dl.O(d2) = 59854947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038109, s2 = 11329506, dlinesl.size( ) = 14 s1 = 7934222, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7934222, s2 = 1162691, int(edited[s2]) = 0 s1 = 7934222, s2 = 1162691, d1 = 96, d2 = 48 Dl.O(d1) = 261202294,271348378,270135899,9904367,6509781,6509779,9904363 Dl.O(d2) = 29644130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7934222, s2 = 1162691, dlinesl.size( ) = 64 s1 = 11038591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038591, s2 = 12270528, int(edited[s2]) = 0 s1 = 11038591, s2 = 12270528, d1 = 12, d2 = 18 Dl.O(d1) = 16548829,16548830,256361620 Dl.O(d2) = 6884646,6884647,4723046,2845677,254166743,529291,296595,296594,529289,938962,1650992,2845665,4723020,7473367,11257591,16194796,22343848,29697508,38263259,30857553,30857552,33859777,33859779,26038417,26038416,33859782,30783742,30783741,39385749,38047820,29484374,268221631,16027188,22146064,29484337,38047785,47960852,44483126,44483127,38047729,36822017,36822016,37954981,37954980,255805422,38263227,38263995,29698150,22344436,255905331,255940332,59560089,60791333,59351445,49212946,40233017,40233016,31702669,24195035,24195034,28326578,28326579,31864837,31864836,40566758,37004935,28506598,28506599,29484082,23425973,23202933,23202931,30625324,30809421,39414629,38047509,29484063,22344450,16195248,16195247,22344444,20922610,20922612,28097905,30511395,23095898,23095900,29484331,38047780,40233023,31546820,24043239,24043240,26960369,20076711,20076712,26960374,24043264,24043263,31546844,40233039,42419119,33428333,25659947,25659945,31710516,30796763,30796762,37989998,39462350,30857505,23426027,23426028,30857509,31546722,24043168,24043169,24043211,17691016,17691015,24043025,24043085,29698163,22344457,16195252,11257877,11257878,16195260,22344470,29698186,23095919,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141770,29479160,38042386,40232926,31546695,24043146,17690971,17690970,24043106,17690951,12512302,8476543,5479238,5479237,8476541,12512298,17690943,17691010,24043205,31546775,40232988,47896398,40232938,40232921,31546690,24043143,24043144,31546692,31546603,28136416,20958427,254928526,6837112,6837111,10376073,10376066,6837108,6837109,10376068,15049432,20958418,28136402,268299546,24042501,17690461,17690460,24042498,31546031,40229587,37979114,29416175,29416173,37979111,31547544,24044075,24044074,31543258,24044083,24044082,31547554,40233561,47931941,47931939,47896562,268935736,31543331,24040034,24040033,31543329,256382470,29416009,29416008,255449994,255075052,7370478,7357124,4647371,4647372,4647105,4647106,4647301,7356748,11092831,11093172,7356966,7356821,4647209,4647213,7356829,11092951,8474824,8474823,12509936,15979645,22085672,15979472,11093011,7356864,7356865,11092873,7356780,4647187,2799262,2799261,4647183,6063222,3793577,3793578,6063228,7619617,8474203,5477757,3370830,3370829,5477753,8004220,5478117,3371038,1983672,1983671,3371045,5478131,8474818,12509784,12509785,8475347,5478467,5478468,8475351,8474607,8474606,12509688,15979377,12510673,12510671,11258177,7473752,7370583,7370582,11113103,16007325,255886781,38017373,255377906,255377904,17687793,12509903,12509904,17688170,17688958,17054694,17054693,23319215,27987112,20822340,20822341,20292218,14561369,14561370,20292223,24117718,17756641,17756640,24117717,31623143,28532250,21309571,21309572,254224744,254729430,31121888,258243195,66888695,54630969,47965156,38052004,38052005,38051981,38051979,38125841,38125840,48039060,256434606,28353424,21139348,15188439,15188441,21139352,28353430,36850912,272173899,268687416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038591, s2 = 12270528, dlinesl.size( ) = 14 s1 = 13276198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11038801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038801, s2 = 11125754, int(edited[s2]) = 0 s1 = 11038801, s2 = 11125754, d1 = 1, d2 = 5 Dl.O(d1) = 22815449 Dl.O(d2) = 47347655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038801, s2 = 11125754, dlinesl.size( ) = 14 s1 = 11038821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038821, s2 = 11281130, int(edited[s2]) = 0 s1 = 11038821, s2 = 11281130, d1 = 29, d2 = 26 Dl.O(d1) = 256440247,259421589 Dl.O(d2) = 272576990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038821, s2 = 11281130, dlinesl.size( ) = 40 s1 = 11038939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038939, s2 = 14356763, int(edited[s2]) = 0 s1 = 11038939, s2 = 14356763, d1 = 9, d2 = 10 Dl.O(d1) = 256987647,258177091,86479535,259990328 Dl.O(d2) = 258123838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038939, s2 = 14356763, dlinesl.size( ) = 40 s1 = 11039037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039037, s2 = 10985314, int(edited[s2]) = 0 s1 = 11039037, s2 = 10985314, d1 = 10, d2 = 20 Dl.O(d1) = 269811086 Dl.O(d2) = 29269843,37835954,257104135,31798565,256455406,36992444,28494988,254807464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039037, s2 = 10985314, dlinesl.size( ) = 14 s1 = 11039099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039099, s2 = 11544478, int(edited[s2]) = 0 s1 = 11039099, s2 = 11544478, d1 = 67, d2 = 74 Dl.O(d1) = 16670799,16670800,16670786,16670785,22901552,254451874 Dl.O(d2) = 265774013,220163690,264845039,274027939,202807413,196046874,188147820,188147819,196046871,188147823,179083828,168805510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039099, s2 = 11544478, dlinesl.size( ) = 42 s1 = 1716207, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14239649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15970490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11039333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039333, s2 = 11044730, int(edited[s2]) = 0 s1 = 11039333, s2 = 11044730, d1 = 13, d2 = 26 Dl.O(d1) = 16743996,11699305,11699304,11699302,7803348,4948605,4948607,254143924,12940359,12940288,12940286,18242792,12998673,8849745,8849742,256085167,28246192,256292841 Dl.O(d2) = 260151313,259537129,269885699,268689937,24203345,17833714,12628178,12628179,17833716,24203346,28015081,32981531,25258363,268486211,37952905,255896780,256589302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039333, s2 = 11044730, dlinesl.size( ) = 26 s1 = 11039427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039427, s2 = 11166756, int(edited[s2]) = 0 s1 = 11039427, s2 = 11166756, d1 = 3, d2 = 0 Dl.O(d1) = 16776468 Dl.O(d2) = 7830828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039427, s2 = 11166756, dlinesl.size( ) = 8 s1 = 11039777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039777, s2 = 11654916, int(edited[s2]) = 0 s1 = 11039777, s2 = 11654916, d1 = 65, d2 = 38 Dl.O(d1) = 16856485,11789355,11789356,7872341,7872340,7275801,7275802,8693972,5658497,3518899,2093166,2093167,3518901,5658499,8693976,12788463,255401659,15415775,12771159,8680757,5648599,3511697,3511698,5648602,8680764,255211921,24432397,31987486 Dl.O(d2) = 221730478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039777, s2 = 11654916, dlinesl.size( ) = 56 s1 = 13278390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13278390, s2 = 14910046, int(edited[s2]) = 0 s1 = 13278390, s2 = 14910046, d1 = 16, d2 = 14 Dl.O(d1) = 16869264,16869263,22147766,22147767,23130986,16871480,11802314,11802313,16028875,16028893,16029025,22147944,16866554,16866555,16866803,254128532,11800302,7881206,7881207,11800304,14221054,19849834,22575934,16392895,16392894,20285963,16870536,16083104,11169396,7410130,4682261,2821128,1636682,1636681,2821126,4682258,7410126,4682266,2821130,2821129,4682264,7410133,11169403,11798796,11128860,11128859,11169303,11169304,11169306,11169307,7882659,5005961,3026524,1760703,1760704,3026526,254173500,2635570,2635572,4398346,5006629,3027109,3027108,5006624,4663488,2809572,1629894,926889,926890,1630088,2809914,2809353,254165167,522328,292765,292764,522325,926697,926879,926880,1630074,2809892,2809765,2809761,4663822,254133414,254264850,254583580,12392148,17563312,23907058,31399644,40080524,50101161,61581064,59534100,258131265 Dl.O(d2) = 258723950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13278390, s2 = 14910046, dlinesl.size( ) = 18 s1 = 11039957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039957, s2 = 14240675, int(edited[s2]) = 0 s1 = 11039957, s2 = 14240675, d1 = 1, d2 = 1 Dl.O(d1) = 16897341,254813747,3040599,1770638,1009114,1009115,568739,318532,318529,568725,1009144,1770686,3040668,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12666755,17883058,22776612,22776613,30165864,31391003,23896089,23896090,31391005,40072747,268377786,36858210,28360196,28360197,31390998,23896087,23896088,31391001 Dl.O(d2) = 16897341,254813747,3040599,1770638,1009114,1009115,568739,318532,318529,568725,1009144,1770686,3040668,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12666755,17883058,22776612,22776613,30165864,31391003,23896089,23896090,31391005,40072747,268377786,36858210,28360196,28360197,31390998,23896087,23896088,31391001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039957, s2 = 14240675, dlinesl.size( ) = 2 s1 = 11039957, s2 = 14240675, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11039957, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14240676, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11040019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040049, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11040197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040197, s2 = 15194530, int(edited[s2]) = 0 s1 = 11040197, s2 = 15194530, d1 = 0, d2 = 0 Dl.O(d1) = 30659456,267903416,11882486,11882485,16970301,17006234,11919651,7974200,7974201,11917256,16993831,16993805,11908334,11908335,15716657,17098580,16993900,16993899,17018655,11934691,8352034,5390829,5390826,8352025,12361034,17527215,23871636,30654752,39250611,49175650,60574418,73317119,86926660,100906940,114959525,114077279,100050934,86088522,258069248,59757390,72491323,71476673,58747502,47360677,37454628,28915415,21641151,15609386,12041999,12042000,13673951,9364060,9364062,13673923,13673922,19149661,255297946,3837497,3837496,3800287,3800288,6073724,9272348,13544400,14028797,10822502,10822503,13624361,13624362,9329706,9329705,13204311,18580815,14554835,14554836,20284746,26887448,31700421,40392867,50426429,61916595,74710116,259536101,116428386,130265649,143593498,262366111,145820708 Dl.O(d2) = 30659456,267903416,11882486,11882485,16970301,17006234,11919651,7974200,7974201,11917256,16993831,16993805,11908334,11908335,15716657,17098580,16993900,16993899,17018655,11934691,8352034,5390829,5390826,8352025,12361034,17527215,23871636,30654752,39250611,49175650,60574418,73317119,86926660,100906940,114959525,114077279,100050934,86088522,258069248,59757390,72491323,71476673,58747502,47360677,37454628,28915415,21641151,15609386,12041999,12042000,13673951,9364060,9364062,13673923,13673922,19149661,255297946,3837497,3837496,3800287,3800288,6073724,9272348,13544400,14028797,10822502,10822503,13624361,13624362,9329706,9329705,13204311,18580815,14554835,14554836,20284746,26887448,31700421,40392867,50426429,61916595,74710116,259536101,116428386,130265649,143593498,262366111,145820708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040197, s2 = 15194530, dlinesl.size( ) = 2 s1 = 11040197, s2 = 15194530, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11040197, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15194529, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11040339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040339, s2 = 11123724, int(edited[s2]) = 0 s1 = 11040339, s2 = 11123724, d1 = 6, d2 = 3 Dl.O(d1) = 17020781,11936375,11936374,17020770,17020769,23279434,30694637,39292110,49218780,49218860,39292167,39292166,45646420,35975890,27661138,27661137,35975887,45646416,56810703,57495937,46186201,46186203,57495939,49218753,49218752,60619400,73364062,60619426,60619415,49218768,39292098,39292099,49218770,57495960,70160159,82909976,69389633,65519775,65519774,78851960,92958440,100385589,86537719,86537718,86537737,72939867,60201131,60201132,270344105,87784084,74179400,258226374,23739172,17414438,12273113,8287942,8287944,12273120,15948827,22052229,29382361,36868638,36868614,268429756,28371986,21154991,15199558,255812201,31805579,24290836,24290837,31805581,40500788,36868607,28372029,28372028,30550931,23132843,21155046,15199593,10483503,6911763,6911762,10483500,15199589,21155040,28372063,36868651,36868575,28372008,28372009,36868577,28372050,256301281,33687398,25881031,19221895,19221896,25881033,33687406,42717404,53167012,65151448,70831416,58116551,46747851,36868616,256839997,40095509,31415649,23925796,17584405,17584404,21155030,15199580,10483495,6911760,6911759,10483492,15199575,21155017,28372010,36868580,46747808,58116514,50277932,50277933,42717392,42717391,46747876,40095739,31415847,31415848,36868550,36868587,40095717,31415855,23925970,23925969,31415850,40095742,46747820,46747821,58116523,50116055,256527549,31415830,40095710,50116053,50116006,40095634,40095633,50116004,256857166,74371921,61595745,50116070,40095719,31415834,31415835,40095721,40095612,40095614,50115989,256857164,36868609,28372031,28372032,36868611,30435578,30435577,23925933,21368724,15388868,15388867,21368721,23925965,268070606,5413130,3327443,3327444,5413131,5413128,5413127,8388650,12411785,17584475,23925907,31415748,40095620,31455501,255572360,12431885,17612694 Dl.O(d2) = 21470019,28556346,28556345,37056967,37056924,37056925,46935342,256693351,33989028,257252033,30758558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040339, s2 = 11123724, dlinesl.size( ) = 2 s1 = 11040339, s2 = 11123724, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11040339, Dl.E( ) = 16, 1.5e-05 seconds used appending s1 = 11040491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040491, s2 = 11220348, int(edited[s2]) = 0 s1 = 11040491, s2 = 11220348, d1 = 0, d2 = 5 Dl.O(d1) = 17063758 Dl.O(d2) = 257605419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040491, s2 = 11220348, dlinesl.size( ) = 14 s1 = 15239732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040567, s2 = 11323800, int(edited[s2]) = 0 s1 = 11040567, s2 = 11323800, d1 = 9, d2 = 7 Dl.O(d1) = 17082459,11994728,8046428,8046429,11994731,14240738,19876018,26300362,26300363,26672930,26672931,26699357,28545608,22511913,22511912,19577178,19577177,14243879,14243878,9792976,9792977,14243500,255318943,26700186,34694805,40562747,31861112,24338987,24338986,19856454,19856456,26673527,26684683,33969471,34678112,26684440,19865935,14232980,14232981,18729514,25304932,33031438,25756903,19118499,13650108,9347016,268029705,19118493,24786556,27049190,20156373,14459907,9948372,6538450,4096568,4096569,6538452,9948375,14236957,9787009,9787007,14237005,19870825,19870824,26690145,21642912,21642911,24786639,32411600,36480836,37067818,34676769,26683143,19864811,19864812,15611017,15611018,255301410,32835974,26693742,19873779,255402664,15070186,255372751,28162140,28969615,21687772,15648710,10831353,10831352,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091,9786087,7072730,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,9000229,13202317,18577773,19033120,255526728,11266417,7479108,7479105,11266442,13455473,12225526,8254252,8254254,7479945,4727174,2848125,1652475,939867,529886,296980,296976,529869,939836,1652412,2848016,4726989,7479442,11267064,16208152,20265447,20265449,18881650,18881649,16209094,11267644,11267645,9921868,9921865,13453694,13453695,18879191,16527665,11519034,11519031,16527658,22733386,17102145,12423009,12423008,17600320,17536731,17536728,23883136,25814127,29556159,38121524,31552696,31552695,40238713,257445174,32830455,40909338,37658611,37658606,29108842,21810024,21810023,29108841,37658604,38740252,32131655,30286732,30286731,36858152,28360147,21144881,20987150,20987151,28167248,21279361,15316980,10579171,6978733,6978735,4832742,4832739,7638527,11484179,16482181,16215089,16215086,11271942,11271940,16215113,22369678,25298217,25298215,33024643,34171644,26303801,19580879,14028416,14028415,18281933,18281934,21337624,15363856,15363855,21337621,260517647 Dl.O(d2) = 272832513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040567, s2 = 11323800, dlinesl.size( ) = 8 s1 = 10692987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11816710, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10420034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040927, s2 = 11314394, int(edited[s2]) = 0 s1 = 11040927, s2 = 11314394, d1 = 0, d2 = 9 Dl.O(d1) = 23463079,30896324 Dl.O(d2) = 60836521,257035975,257035973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040927, s2 = 11314394, dlinesl.size( ) = 2 s1 = 11040927, s2 = 11314394, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11040927, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11041343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11041343, s2 = 10932721, int(edited[s2]) = 0 s1 = 11041343, s2 = 10932721, d1 = 1, d2 = 1 Dl.O(d1) = 39793265,31112736,31112737,39793267,39384904,39384905,49312600,257070162,87079739,258739926,257506646,31112775,23626264,255451434,8216850,5286846,3238763,3238762,5286844,8216846,12186396,17310517,23626248,31112750,33182779,31112780,31112781,39793325,49813964,258242431,71317418,71317419,84891466,77543411,64374952,257197849,33182782,25437707,18841604,18841606,25437709,257050585,31112757,23626252,17310521,17310522,23626255,23626249,17310520,12186398,8216847,8216848,12186400,17310523,23626256,31112762,39793296,49813925,59567540,268621244,269775811 Dl.O(d2) = 39793265,31112736,31112737,39793267,39384904,39384905,49312600,257070162,87079739,258739926,257506646,31112775,23626264,255451434,8216850,5286846,3238763,3238762,5286844,8216846,12186396,17310517,23626248,31112750,33182779,31112780,31112781,39793325,49813964,258242431,71317418,71317419,84891466,77543411,64374952,257197849,33182782,25437707,18841604,18841606,25437709,257050585,31112757,23626252,17310521,17310522,23626255,23626249,17310520,12186398,8216847,8216848,12186400,17310523,23626256,31112762,39793296,49813925,59567540,268621244,269775811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11041343, s2 = 10932721, dlinesl.size( ) = 2 s1 = 11041343, s2 = 10932721, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11041343, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10932722, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11041557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11041557, s2 = 9797320, int(edited[s2]) = 0 s1 = 11041557, s2 = 9797320, d1 = 1, d2 = 2 Dl.O(d1) = 255055374,5334531,3279124,1937927,1106939,621124,621125,1106941,1937932,1939068,1939069,3296933,3296986,5347128,3286170,3273717,3273716,5326112,8256029,8317044,12313105,12286428,12227648,268546462,254842459,254398673,3278685,5333892,8266816,8267257,5334242,3299572,3299573,5362820,3299115,1940375,1940380,3299129,5335757,3279950,3279947,5335793,5533512,3418967,2018840,2018839,3418933,3286150,1932495,1103852,1103848,1932482,3286136,4708345,3286179,3277416,3277418,4708248,7451823,5552189,3436860,3436858,5552182,8269681,8269641,5336105,4708413,4708416,5357926,8304031,12274802,12243930,12243933,254610811,5537043,254767142,5531878,5531877,3450079,267847635,3405759 Dl.O(d2) = 11719329,7912690,5030146,5030147,7821044,4963143,2997465,2232323,1294578,738902,738901,609601,609600,1085585,1901823,3241177,4733489,2852536,1655244,941782,531207,297933,297934,531213,941787,531331,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097478,1921149,3267892,3249174,1907574,1089130,611494,340121,186684,186668,186669,340091,186729,186731,340192,342558,342560,616245,1097833,1920212,2996471,1740190,1740193,1097172,615901,615898,1097182,1911073,1911074,3243065,3243062,5291759,7820167,7820166,8176170,5245792,5245791,3659484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11041557, s2 = 9797320, dlinesl.size( ) = 2 s1 = 11041557, s2 = 9797320, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11041557, Dl.E( ) = 10, 1.72e-05 seconds used appending s1 = 13281976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13281976, s2 = 11104054, int(edited[s2]) = 0 s1 = 13281976, s2 = 11104054, d1 = 8, d2 = 7 Dl.O(d1) = 12258689,12247783,12247781,17380662,23703293,23886791,23700793,17378504,12246345,8271166,5337248,3280974,1929954,1102686,1102687,1929957,3280981,3284647,3284648,5344487,8284287,5590010,4514204,4514202,5590050,8602308,8287351,8287346,12272406,17413766,23738617,25523413,25523414,26891005,20009920,20009919,26891002,34970120,44347655,40456087,31761699,24249845,24249846,31761697,40456083,50491925,269887307 Dl.O(d2) = 257120462,15418012,10657985,10657984,13697985,13697986,13697883,9381354,6145957,3845831,3845832,6145959,268030695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13281976, s2 = 11104054, dlinesl.size( ) = 8 s1 = 9337050, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13282306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11041853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11041853, s2 = 11033432, int(edited[s2]) = 0 s1 = 11041853, s2 = 11033432, d1 = 7, d2 = 10 Dl.O(d1) = 17453989,12304095,9132700,5976478,3737521,2237709,1297702,740663,420987,237592,237593,420990,268758888,3737582,5976607,254917241,255657397 Dl.O(d2) = 13363362,13363363,18766613,25348020,31500437,31500436,40185549,33763733,25955156,255289149,13791779,19290785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11041853, s2 = 11033432, dlinesl.size( ) = 12 s1 = 11041939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11041997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11042113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042113, s2 = 14130615, int(edited[s2]) = 0 s1 = 11042113, s2 = 14130615, d1 = 18, d2 = 3 Dl.O(d1) = 268436350,1112248,624134,346849,190196,190199,346863,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,2925748,2925747,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532488,4235735,4275589,4244046,4244041,2548559,2548558,2537485,1462187,1462188,2537490,4243961,6771094,254997679,10277250,10277252,8831300,6785646,6785645,255001705,15853848,14117479,9712769,6389918,6389919,6815298,10350485,10297616,6770378,5940502,5940501,9082640,9988893,9988890,6818660,4277227,4277229,6818666,6831033,6818680,4277235,4277234,6747109,10267652,6792980,6792977,5924926,4308672,2576395 Dl.O(d2) = 142608992,155244591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042113, s2 = 14130615, dlinesl.size( ) = 14 s1 = 11042175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042175, s2 = 8810409, int(edited[s2]) = 0 s1 = 11042175, s2 = 8810409, d1 = 57, d2 = 14 Dl.O(d1) = 255242566,7164136,4512136,2711315,1637046,1637045,2821797,4668822,4511912,2711662,2711660,4512756,4511844,2711151,2711148,4511836,7163672,7164044,7164045,7510293,4747814,4747813,7510919,10837155,7411767,7163960,4683632,2821926,2821924,4683626,7163821,10836253,7390247,4668728,4668726,7163559,7163557,4512623,2711577,1570819,893101,893102,1570825,1637131,2821954,4683683,7164330,4512262,4512261,7164322,7511054,11172191,11966332,11311483,11311482,15656091,15656092,21696417,15656256,15656257,21696557,22216447,21637331,255049317,10837136,11586493,11586494,15652064,15652065,255545357,12134512,8164601,5234450,267797287,254132227,334111,334113,599656,267770501,3194937,3261743,1916725,1094753,614575,341660,341659,341669,341668,334507,184004,184007,334522,600507,601369,1070125,1875868,1886100,1882501,1871957,1871956,1887710,1077055,1077052,1077115,604995,604993,1077149,1067944,600198,600199,1067946,1872267,1884930,1884929,3217157,5261878,7572634,5290301,3241762,1902260,1902259,2776316,4611092,2887728,2887729,255478185,29915209,270847315 Dl.O(d2) = 219752035,265240661,265427262,219752033,216500142,212579605,207782896,263967158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042175, s2 = 8810409, dlinesl.size( ) = 54 s1 = 16214867, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13436279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13436279, s2 = 15162320, int(edited[s2]) = 0 s1 = 13436279, s2 = 15162320, d1 = 6, d2 = 5 Dl.O(d1) = 23876056,17531404,12364859,12364860,17531407,23876060,25343686,18763110,18763111,23876067,17531412,12364862,12364861,17531409,23876063,31371206,40052145,33071238,25341484,18761381,13359634,9130353,5974952,3736619,3736618,5974949,9130348,13359629,18761374,25341474,33071219,33071220,33071223,25341471,25341472,33071224,40052146,50072007,52354396 Dl.O(d2) = 270326445,270800546,37623957,30206023,30206022,38790682,48712552,60107644,72414411,86010853,99970144,113993632,127871753,141230780,142788997,129467524,115582422,101546403,258857847,61204148,257043751,268433771,23548618,31029689,39706731,49725358,61204149,73983542,61897600,50407094,268689073,255587243,12602547,8552253,5549964,3435076,3435075,5549962,8552249,12602544,17126845,22318660,17710956,256033589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13436279, s2 = 15162320, dlinesl.size( ) = 2 s1 = 13436279, s2 = 15162320, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13436279, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 15162319, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11042271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042271, s2 = 14124663, int(edited[s2]) = 0 s1 = 11042271, s2 = 14124663, d1 = 98, d2 = 120 Dl.O(d1) = 17545401,12375879,8362924,8362925,5677367,5677365,8721943,12827920,18093160,23898298,23898299,30575831,23158772,16897427,16897428,17582142,23899095,23738043,17413226,12271977,8287067,8287069,12271981,17413233,23738055,23436619,17161705,12065330,8112943,8112942,12065328,17161701,23436613,23897958,30576306,23738144,17413330,12272058,8287124,5346144,3285617,3285618,5346150,5346083,3285582,1932230,1932228,3285573,5346062,8286966,7737955,4899302,2952746,1712321,1712318,2952739,4899283,7737926,11619297,16651622,16651619,17395252,17408925,12268653,9260740,6065427,6065429,7361365,8274444,5339020,5339023,8274452,8273483,5338425,3281493,1930165,1102781,1102777,1930150,3281453,5338326,8273318,12250019,17383876,23706922,31195613 Dl.O(d2) = 266774408,238023578,266564684,235570849,235570848,235570846,235570847,236464779,237280866,238023576,238699282,274787346,266482588,235570838,236464771,236464773,236464772,237280858,237280870,266482590,266482586,235570832,266294724,266073350,227898096,227898097,265961405,232326030,233512382,234589675,234589680,233512385,266401791,233512383,232326032,231012746,231012747,231012743,231012744,232326028,233512376,234589672,235570832,266294724,233512379,266491287,236464776,237280863,238023572,238699279,239319159,266894507,240905984,274898828,242522964,242856406,267179532,267111284,267031768,240905967,266889318,239319152,266710026,237280855,236464769,274654364,232326023,265949036,227898090,226021733,226021734,227898091,274546689,233512371,234589665,274716803,238023568,238699275,274825632,234589668,233512374,232326027,232326028,233512376,234589672,235570832,266294724,266073350,227898096,226021735,274324670,218498488,264673438,264934807,221391128,218498487,264673438,264115288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042271, s2 = 14124663, dlinesl.size( ) = 40 s1 = 11042285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042285, s2 = 10367597, int(edited[s2]) = 0 s1 = 11042285, s2 = 10367597, d1 = 8, d2 = 7 Dl.O(d1) = 23899720,23892387,23892386,24219705,31726325,25551320,18938871,268026661,9238584,13503103,18938868 Dl.O(d2) = 258414575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042285, s2 = 10367597, dlinesl.size( ) = 14 s1 = 11042619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042619, s2 = 11357936, int(edited[s2]) = 0 s1 = 11042619, s2 = 11357936, d1 = 0, d2 = 13 Dl.O(d1) = 23998726 Dl.O(d2) = 258895885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042619, s2 = 11357936, dlinesl.size( ) = 8 s1 = 11042753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042753, s2 = 11306736, int(edited[s2]) = 0 s1 = 11042753, s2 = 11306736, d1 = 13, d2 = 11 Dl.O(d1) = 258276805 Dl.O(d2) = 258133221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042753, s2 = 11306736, dlinesl.size( ) = 14 s1 = 11042849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042849, s2 = 11162886, int(edited[s2]) = 0 s1 = 11042849, s2 = 11162886, d1 = 6, d2 = 2 Dl.O(d1) = 256033593 Dl.O(d2) = 61760478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042849, s2 = 11162886, dlinesl.size( ) = 14 s1 = 9028188, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11043025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11043025, s2 = 8454074, int(edited[s2]) = 0 s1 = 11043025, s2 = 8454074, d1 = 108, d2 = 0 Dl.O(d1) = 24059079,24059080,255855210,61753876 Dl.O(d2) = 31049223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11043025, s2 = 8454074, dlinesl.size( ) = 36 s1 = 11043193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11043193, s2 = 11168276, int(edited[s2]) = 0 s1 = 11043193, s2 = 11168276, d1 = 9, d2 = 13 Dl.O(d1) = 17810573,255587851,257402801 Dl.O(d2) = 256285475,20968926,15059068,10384594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11043193, s2 = 11168276, dlinesl.size( ) = 14 s1 = 13285348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11043649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11043649, s2 = 14113101, int(edited[s2]) = 0 s1 = 11043649, s2 = 14113101, d1 = 0, d2 = 29 Dl.O(d1) = 24311501 Dl.O(d2) = 271941708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11043649, s2 = 14113101, dlinesl.size( ) = 34 s1 = 15447654, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14864257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14864257, s2 = 7637909, int(edited[s2]) = 0 s1 = 14864257, s2 = 7637909, d1 = 21, d2 = 6 Dl.O(d1) = 37521424,47429160,257411647,36751613,36751612,256832417,268694048,33001369,41943284,52283821,58816073,52223007,41891623,41891624,257181863,32990700,25266817,25266816,32990699,25266818,18695005,15572625,268022075,9091837,13310734,14970931,20873066,18830702,255662301 Dl.O(d2) = 78394860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14864257, s2 = 7637909, dlinesl.size( ) = 14 s1 = 13286526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13286526, s2 = 7053385, int(edited[s2]) = 0 s1 = 13286526, s2 = 7053385, d1 = 35, d2 = 20 Dl.O(d1) = 117443982,117443983,131253427,144488800,156899377,259719900,257842346 Dl.O(d2) = 261896049,272834102,62635272,269027135,256065769 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044175, s2 = 7939938, int(edited[s2]) = 0 s1 = 11044175, s2 = 7939938, d1 = 113, d2 = 139 Dl.O(d1) = 18084737,12821222,12821221,18084736,24514771,268659329,23197002,30618049,39214948 Dl.O(d2) = 28891033,37432698,47340438,58728596,71458658,85030526,98955395,112944443,114491572,100467053,86509179,72912712,60175822,48781303,38861102,30276514,22879342,16650988,11618640,10547540,8380231,8380232,12400156,8602168,7676000,4857062,4857060,7675992,9251891,10590772,6986322,6986323,8281787,8281791,10590791,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,15058298,15058299,10557059,6962857,4374554,4374555,6962859,10557064,15232922,15232921,12391486,12391485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044175, s2 = 7939938, dlinesl.size( ) = 8 s1 = 11044265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044265, s2 = 11258988, int(edited[s2]) = 0 s1 = 11044265, s2 = 11258988, d1 = 47, d2 = 34 Dl.O(d1) = 254887217,5679886,5679887,8725293,6518212,6518213,9918152,14419681 Dl.O(d2) = 109424175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044265, s2 = 11258988, dlinesl.size( ) = 2 s1 = 11044265, s2 = 11258988, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11044265, Dl.E( ) = 48, 1.88e-05 seconds used appending s1 = 11044349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044349, s2 = 11293636, int(edited[s2]) = 0 s1 = 11044349, s2 = 11293636, d1 = 19, d2 = 7 Dl.O(d1) = 18123615,18123617,24562955,257859565 Dl.O(d2) = 111874774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044349, s2 = 11293636, dlinesl.size( ) = 8 s1 = 11044383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11818018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11044437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044437, s2 = 11014750, int(edited[s2]) = 0 s1 = 11044437, s2 = 11014750, d1 = 0, d2 = 0 Dl.O(d1) = 255217778,8751319,12868281,18147188,14654448,14654446,15136114,18835360,24601110,20957028,20957030,18401817,18401815,18401911,13070799,9713624,9713629,13837850,9713654,9713653,10612351,9713965,9713967,14119259,19692043 Dl.O(d2) = 255217778,8751319,12868281,18147188,14654448,14654446,15136114,18835360,24601110,20957028,20957030,18401817,18401815,18401911,13070799,9713624,9713629,13837850,9713654,9713653,10612351,9713965,9713967,14119259,19692043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044437, s2 = 11014750, dlinesl.size( ) = 2 s1 = 11044437, s2 = 11014750, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11044437, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11044683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044683, s2 = 11311972, int(edited[s2]) = 0 s1 = 11044683, s2 = 11311972, d1 = 18, d2 = 15 Dl.O(d1) = 18214389,18214390,256076701,257139603,62951793,75932643 Dl.O(d2) = 257889180,54684630,53718924,43206804,34119607,34119606,39412451,31361395,258261693,84060895,261614957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044683, s2 = 11311972, dlinesl.size( ) = 22 s1 = 11044731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044731, s2 = 11262404, int(edited[s2]) = 0 s1 = 11044731, s2 = 11262404, d1 = 8, d2 = 13 Dl.O(d1) = 255264220 Dl.O(d2) = 259593151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044731, s2 = 11262404, dlinesl.size( ) = 14 s1 = 11044771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044771, s2 = 11089196, int(edited[s2]) = 0 s1 = 11044771, s2 = 11089196, d1 = 17, d2 = 12 Dl.O(d1) = 18235525,12934683,268129385,12730285,254806164 Dl.O(d2) = 393011,699564,267776591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044771, s2 = 11089196, dlinesl.size( ) = 20 s1 = 11044779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16176547, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14186582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14186582, s2 = 16196961, int(edited[s2]) = 1 s1 = 13365277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13365277, s2 = 15192420, int(edited[s2]) = 0 s1 = 13365277, s2 = 15192420, d1 = 14, d2 = 16 Dl.O(d1) = 42564208,33547689,25758940,19120257,18399876,13069252,13069251,18399874,24903485,32553651,31782923,31782924,31784966,24272167,17892668,17892664,12673948,12673947,17892662,24272187,31785001,40479375,50514429,50514397,50514395,257193122,50514326,50514272,50514271,62005748,58800878,58800879,50514243,50514242,62005720,74802333,87171113,98153676,98153675,90467209,76608809,63529235,63529234,70708717,57991969,46616119,46616120,57991970,70708719,74802373,74802372,76985611,63874725,52055895,270311580,54646211,257886263,43903104,43903105,54646193,54646156,54646155,66903219,80330354,94384875,108671537,94384880,80330367,66903237,66903236,60620854,60620853,63874720,63874717,63874716,54646180,54646179,258505429,54646216,43903121,43903122,54646209,66903296,74802209,74802210,74802213,74802214,88434811,260156847,88434808,88434807,88434806,74802205,62005560,50514064,40479047,40479046,50514062,40924274,32146897,24564019,18124522,18124521,268461707,40924271,51064916,52406659,64261910,75638425,75638386,62694103,62694104,75638388,74869204,62071071,62005579,62005580,74802219,62005608,62005607,68015101,68015102,60074236,48678100,38756537,37123576,37123575,47010528,58381608,51064875,47834120,44730042,35310565,27190789,20266561,20266563,15641726,15641725,21681036,17022018,11937388,7989191,5084937,5084936,7989188,11937380,17022007,23280906,30696277,39293798,43950537,43950536,54694309,66953160,258130534,123001277,136830519,149963071,140357316,127003741,127003740 Dl.O(d2) = 71669404,58947823,47564975,47564974,58947820,256291120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13365277, s2 = 15192420, dlinesl.size( ) = 20 s1 = 13342033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13342033, s2 = 14245704, int(edited[s2]) = 0 s1 = 13342033, s2 = 14245704, d1 = 7, d2 = 2 Dl.O(d1) = 32564908,24912791,18407218,18407219,24912797,22179033,16053111,16053109,11477345,7633782,7633783,11477346,16472692,11788339,7871589,7871590,254372737,3019309,4997169,7871591,11788341,16855369,17714459,17714460,24070654,31576412,30512852,23097305,23097306,25534872,29202133,21889439,21839320,15769678,10922072,7223908,7223909,10922075,15769683,21839328,29147314,37707562,47629817,50349205,40322729,31633819,31633820,40322731,33546966,25758161,25758162,33546970,42563373,53003283,47059091,37167571,37167572,30645626,30645625,39241944,34089972,26228671,26228670 Dl.O(d2) = 28534689,21312104,21312103,28534687,37032527,28534676,21839147,21839148,29147074,29923580,22564066,22564067,29923585,38483818,256900593,37707498,37707235,29147066,29147068,37707238,29147185,29147186,28534706,28534707,37032565,46909534,255429910,38317656,39363370,30762134,23339232,23339233,21839526,15769820,15769824,21839532,29147564,37707422,29147194,29147193,37707420,34110869,32242676,24644653,18188287,12900030,8774751,254429299,2119469,2119463,2119464,254429297,5714693,8774745,12900018,18188271,24644626,32242647,32242648,24644628,268465647,41034932,51191224,46957508,42008905,33064854,33064853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13342033, s2 = 14245704, dlinesl.size( ) = 2 s1 = 13342033, s2 = 14245704, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13342033, Dl.E( ) = 12, 7.87e-06 seconds used appending s1 = 11045359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11045359, s2 = 11322928, int(edited[s2]) = 0 s1 = 11045359, s2 = 11322928, d1 = 23, d2 = 21 Dl.O(d1) = 268164084 Dl.O(d2) = 258480032,259740826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11045359, s2 = 11322928, dlinesl.size( ) = 26 s1 = 11045373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13288630, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11045943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11045951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11045951, s2 = 8071955, int(edited[s2]) = 0 s1 = 11045951, s2 = 8071955, d1 = 39, d2 = 49 Dl.O(d1) = 258379287,90876481,85412402,85412401,255433726,90867615 Dl.O(d2) = 29189960,29189959,21877922,15802321,15802320,15802324,254343858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11045951, s2 = 8071955, dlinesl.size( ) = 20 s1 = 11045961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11045961, s2 = 11422952, int(edited[s2]) = 0 s1 = 11045961, s2 = 11422952, d1 = 0, d2 = 23 Dl.O(d1) = 23474433,23474434,30910187 Dl.O(d2) = 155240148,262790921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11045961, s2 = 11422952, dlinesl.size( ) = 52 s1 = 11045975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11045975, s2 = 11182644, int(edited[s2]) = 0 s1 = 11045975, s2 = 11182644, d1 = 11, d2 = 14 Dl.O(d1) = 18584474 Dl.O(d2) = 256107217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11045975, s2 = 11182644, dlinesl.size( ) = 24 s1 = 11046165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11046233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 564321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11046251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046251, s2 = 11320448, int(edited[s2]) = 0 s1 = 11046251, s2 = 11320448, d1 = 17, d2 = 15 Dl.O(d1) = 256110357 Dl.O(d2) = 183060645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046251, s2 = 11320448, dlinesl.size( ) = 22 s1 = 11046339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11046349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046349, s2 = 11427622, int(edited[s2]) = 0 s1 = 11046349, s2 = 11427622, d1 = 14, d2 = 17 Dl.O(d1) = 257181673 Dl.O(d2) = 260256297,272366499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046349, s2 = 11427622, dlinesl.size( ) = 20 s1 = 11046523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046523, s2 = 15637608, int(edited[s2]) = 0 s1 = 11046523, s2 = 15637608, d1 = 5, d2 = 104 Dl.O(d1) = 25305907 Dl.O(d2) = 271813923,141443822,141443824,141443823,154114720,165881298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046523, s2 = 15637608, dlinesl.size( ) = 34 s1 = 11046703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046703, s2 = 11136668, int(edited[s2]) = 0 s1 = 11046703, s2 = 11136668, d1 = 13, d2 = 17 Dl.O(d1) = 18768995,15085099,10404780 Dl.O(d2) = 9392906,13713693,19201612,25858975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046703, s2 = 11136668, dlinesl.size( ) = 8 s1 = 11046715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046715, s2 = 14036940, int(edited[s2]) = 0 s1 = 11046715, s2 = 14036940, d1 = 20, d2 = 9 Dl.O(d1) = 18770607,13367092,13367095,18770616,13755774,13755773,19251287,25913239,33719848,34998464,26917384,20032914,20032915,20032541,20032543,20032247,20032246,20032946,20032947,26916895,20032454,20032393,14349296,9859181,6476411,4058474,2429146,2429147,4058476,6476412,9859184,14349206,9859203,6476423,4058480,4058479,6476420,9859195,14349263,19823260,14349618,9859403,6476520,6476521,9859407,14349628,18686702,13293426,13293425,18686698,14349564,14349566,20032490,14349362,9859232,9859233,14349364,14349333,9859213,9859211,9859391,9859264,9859265,14349414,20032573,19814363,19814361,20032516,14349378,14349377,14349663,9859420,6476528 Dl.O(d2) = 37793468,29231372,21914602,21914604,29231381,37793481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046715, s2 = 14036940, dlinesl.size( ) = 14 s1 = 11046803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046803, s2 = 11129930, int(edited[s2]) = 0 s1 = 11046803, s2 = 11129930, d1 = 7, d2 = 17 Dl.O(d1) = 254460012,2240800,2240799,3743180,5716916,5716917,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554 Dl.O(d2) = 19024786,25641705,33408393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046803, s2 = 11129930, dlinesl.size( ) = 14 s1 = 11046823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046823, s2 = 11110352, int(edited[s2]) = 0 s1 = 11046823, s2 = 11110352, d1 = 23, d2 = 11 Dl.O(d1) = 18795352,13388652,9152777,9152776,13388646,18795339,25380078,33115336,42064194,52407842,64263009,77412733,77412746,64263019,64263020,77412749,91331313,77412784,77412787,85436524,71851293,59113189,47715559,37794729,29232378,29232379,37794731,47715564,47715567,37794734,37794735,37110087,28601268,255032322,268382802,41096050 Dl.O(d2) = 51274205,41096050,32286975,29670615,29670614,38235978,42064227,33115359,255660862,13388652,9152777,9152776,13388646,18795339,25380078,33115336,42064194,52407842,64263009,77412733,77412746,64263019,64263020,77412749,91331313,77412784,77412787,85436524,71851293,59113189,47715559,37794729,29232378,29232379,37794731,47715564,47715567,37794734,37794732,47715565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046823, s2 = 11110352, dlinesl.size( ) = 26 s1 = 13306179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13306179, s2 = 7272473, int(edited[s2]) = 0 s1 = 13306179, s2 = 7272473, d1 = 49, d2 = 76 Dl.O(d1) = 9160230,9160229,13398752,18807977,18807981,18807974,18807975,268213152,9160232,9160231,13398755,18807980,22592825,16409739,254229190,7594954,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,7151846,10821753,15638338,15638538,10821882,10821884,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309 Dl.O(d2) = 230328093,231270026,265851723,228214873,229832795,229832783,265706223,224257414,224257415,226372625,228214854,229832778,228214849,226372618,224257408,224257407,226372616,228214846,228214853,228214854,229832778,228214849,228214850,228214857,226372628,224257416,224257417,226372630,226988195,228764268,229832782,228214852,226372621,265548347,221818218,221818219,224257430,265706225,229832793,229832787,228214865,226372637,224257421,265436520,222606333,222606334,274292794,226372617,224257408,224257407,226372615,228214844,226988203,224951276,222606331,222606332,224951277,226988205,226372642,226372640,226988196,224951272,264820560,216640581,219875821,222606332,224951277,226988205,226372638,224951275,222606331,222606332,224951277,226988205,226372642,224257426,221818215,221818214,224257424,224257433,224257432,226372650,226988197,224951272,264820560,212737925,207965317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13306179, s2 = 7272473, dlinesl.size( ) = 2 s1 = 13306179, s2 = 7272473, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13306179, Dl.E( ) = 78, 2.98e-05 seconds used appending s1 = 13290890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13290890, s2 = 12262399, int(edited[s2]) = 0 s1 = 13290890, s2 = 12262399, d1 = 44, d2 = 13 Dl.O(d1) = 268779138,18847970,13428811,13428809,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702 Dl.O(d2) = 17156726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13290890, s2 = 12262399, dlinesl.size( ) = 30 s1 = 14186714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14186714, s2 = 13371942, int(edited[s2]) = 0 s1 = 14186714, s2 = 13371942, d1 = 11, d2 = 12 Dl.O(d1) = 36925470,28426821,21203229,15237524,10511799,6931775,6931677,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579970,12636884,14086429,14086430,16571277,11552271,7686358,4863581,2930713,1699855,1699856,2930718,4863593,4025957,4025956,4025978,4025979,6417418,9760417,14198616,19590462,17122882,12033067,12033066,16646055,11614009,11614010,16646057,22874278,30271538,30169219,22780243,16564862,11546889,7682278,7682276,5574983,5574982,8580480,12637751,17846143,254795598,254441750,26388949,19654574,17122729,12032962,12032961,268245527,12028929,12028930,17117302,23389107,19833120,14207712,10272027,6750411,6750410,10272025,14935882,20834514,25914775,19252691,19252689,25432348,18837877,13421509,9176478,6006037,3756141,2249612,2249613,3756146,6006042,9176489,12204692,17115831,12027775,12027773,17115828,23387585,30817101,258144731,41942718,33000844,33000845,32991707,32991706,27111173,27111172,35200976,42174912,33216071,25469192,25469193,33216073,33216077,25469201,18868962,13445310,13445311,255262508,33216082,33216083 Dl.O(d2) = 46467054,57823823,257909766,70336238,70336237,83861384,97720063,259091844,61208679,61208680,73987648,259482217,97936170,84062967,70526080,70526081,84062969,97936166,97936165,87587789,87587788,101550211,115586537,111872586,97936179,84062973,70526083,70526082,84062971,97936175,111872579,106098493,106098492,120298910,106098487,106098488,91903445,91903444,91903457,106098502,111872582,97936176,97936177,111872584,120298912,106098490,91903470,77979074,64784972,64784971,77979072,91903458,77979062,258426493,52865804,42461841,42461840,52865801,64784959,77979052,91903455,91903465,91903468,77979070,77979071,91903453,91903454,260295885,106098482,106098481,260891087,123964636,125689723,260069444,91903472,77979076,64784975,64784943,64784942,259053607,106098473,106098480,106098476,91903433,77979036,64784951,64784952,77979041,77979038,257810523,42461834,33468507,33468508,42461838,52865786,42461822,33468495,33468496,42461824,42461847,268753919,19070367,19070366,25695581,255680885,19070372,25695588,25695589,25695600,19070389,268616752,42461833,33468509,25695590,19070391,19070390,13614601,13614600,19070397,25695609,25695620,255275995,13614606,19070406,25695607,25695608,33468531,42461868,52865828,58680453,58680454,52865813,268209584,71414246,77979142,90191466,91699545,77772216,77772217,76363974,64589446,64589445,77772213,64589448,52688895,51609061,41383246,41383247,33321363,254074124,18946669,254078004,42302084,254120592,63826914,52011149,41699509,32783130,254226772,52011143,63826900,76934542,90810755,104988588,105906779,255040606,268073250,37326736,28790226,256334105,47235659,58628538,71365349,71365155,58628332,47235458,47235459,58628333,71365157,84941861,84941938,98868798,84942003,84942002,98868866,112857087,256875340,126709142,114539070,100508882,86546818,72947110,60207390,60207389,72947108,256875334,257455212,100508961,100508880,100508881,257455214,114539063,100508921,86546849,72947126,72947127,86546851,100508924,114539099,128421977,114539075,100508886,86546821,72947111,72947112,86546823,100508890,270297428,114539130,100508969,100508970,114539133,128421982,257455198,268616748,100508901,86546830,72947116,60207393,48810336,48810335,258805421,100508892,86546895,72947154,72947155,86546897,100508896,100508931,86546860,72947132,257533282,38887998,30302006,22903121,22903122,30302008,38888002,257573425,61274012,72947123,60207396,60207397,72947124,86546845,72947153,72947152,86546892,100508968,114539102,100508933,86546858,72947131,60207400,60207399,72947128,86546853,100508925,114539101,114539117,114539116,128422005,141774512,128421986,114539091,100508954,86546876,72947143,60207406,48810344,38888000,38887999,256364240,72947135,86546864,100508939,255842288,106098527,91903506,77979127,64785027,52865852,52865850,254503664,91903503,98868691,98868692,256334064,112856908,98868650,84941738,268616750,255410128,84941741,255842300,256334072,37326522,37326523,47235418,58628292,71365115,84941803,91903499,91903497,91903498,98868684,256334066,114890694,100840635,86859944,73247342,60500417,49096879,49096878,60500415,73247339,86859942,100840632,113133210,126709107,112856929,112856928,258690466,100840627,114890686,125416224,111617561,97699228,83841846,83841847,97699230,111617563,97699233,97699234,97699231,256070280,255220110,64009713,64009714,77140240,91044794,83841855,70317227,70317226,83841852,97695238,97695237,83837655,70312825,57622423,256334100,83837659,83837616,70312786,70312787,70312780,57622388,57622389,70312782,83837608,70312816,257716624,46278036,257131566,70312792,83837619,97695225,83837652,70312821,70312822,70312827,57622424,46278044,36425318,36425319,46278046,57622427,70312788,57622397,46278021,36425301,36425302,46278024,57622401,270270581,97695235,111613800,260564164,111613802,270311996,83837621,97695240,97695243,111613805,97695244,269799850,57622406,46278028,36425306,27966769,27966770,256804949,46278019,57622391,70312784,83837610,97695204,83837632,70312804,70312806,71830870,59090685,256985402,37770567,47691977,59090689,47694845,47694846,59090682,71830864,85418606,71830860,59090679,59090678,71830821,71830822,85418560,99361317,99361348,85418600,257485826,268934118,41183873,47692048,59090758,71830946,83837587,83837586,95282929,109537571,120291205,120291206,258719862,127221072,258096058,113362911,113362912,113364845,113364847,113362826,113362825,120291210,113362830,99361306,99361305,113362828,113362831,113682719,258096072,113682717,113682718,127553455,127221131,127221130,127553444,258719848,258644482,85722314,72137994,72137992,258019964,85418659,85418660,99361401,113362907,127221137,259345316,137456859,137456860,140907832,127553461,113682725,99669913,85722325,72138001,59407993,59407994,72138003,85722328,99669915,113682739,127553472,140907837,259963934,140566579,137285653,123553564,123553565,115635951,259392176,95108002,81050627,67582873,67582872,81050626,95108001,87628233,74024273,74024274,87628236,101595481,113631419,259980834,72082827,59349655,59349656,72082829,85669059,77568430,77568431,77568426,77568425,64400151,64400152,64400161,77568448,91499646,91499642,77568444,77568443,84589563,84589562,77568465,64400177,258405463,84589553,71025265,64400170,64400171,71025255,58309641,46943133,46943135,58309643,71025257,77568459,258405461,52526762,42168759,42168760,52526763,60486504,73233418,71025286,58309673,46943156,37064100,28562573,21335963,15362430,10613927,10613926,15362426,21335957,22144476,16026008,11127126,7380362,7380360,11127122,255451219,29482490,29482500,29482493,29482492,38045817,257506381,38045794,29482477,22144465,22144464,29482474,38045789,47958953,47958993,59349696,52863250,52863249,58309654,46943144,38045832,29482502,29482501,38045830,47958975,38045814,38045815,44791630,256238331,20312540,14577302,14577303,20312541,27243592,35367217,44791635,47958973,38045811,38045812,47958974,55699149,55699097,55699096,68096490,55699135,257474130,81586359,258084146,68096542,68096488,257331779,44791677,257932247,59349678,55699148,55699147,64400116,77568408,81586362,95620374,95620364,81586335,77568401,64400110,52526723,52526724,59927937,72668040,77568407,91499622,105724185,258084148,81586357,68096525,55699134,55699133,52526729,42168737,269080659,258405457,68096473,55699098,44791681,35367244,27243608,27243607,25461069,25461068,33208855,42168736,42168742,42168743,52526738,42168749,42168748,52526741,64400135,77568421,64400131,52526740,44791644,44791645,55699068,68096476,259181725,77568422,68096541,55699161,55699114,52526816,42168795,33208890,25461092,25461091,33208887,257200205,64400220,77568506,88027275,257455208,50154506,50154507,61637400,270355029,60597047,60597048,258206526,49196422,60597032,268424822,58441546,255972410,50160499,52921279,52921280,64846150,77568417,77568416,91499626,77568477,77568476,77568481,64400186,52526790,52526791,64400189,73079063,73079064,73079083,60338936,48941472,48941471,55699100,55699099,60597049,49196431,39270272,30673975,30673974,39270271,49196429,52526733,58441551,47065569,47065568,58441548,52921410,52921411,257018280,47824081,37902381,37902380,256987206,42168776,33208878,255664997,18860955,25461087,33208882,42168781,52526792,53935329,53935328,66005911,59222329,48941473,39018218,39018219,48941475,269833961,78043066,86953187,73341847,73341848,73427533,73427532,87044915,78043070,78043071,78043171,86475998,72880665,72880664,77568474,77568475,79374333,66005990,53935405,43408370,43408369,52526783,52526814,42168794,42168793,43408305,34306940,26429077,255618812,43408301,52921282,42511464,42511463,52921281,52921269,52921270,63747013,255525898,53935406,53935407,60144203,60144202,72880648,66005998,53935413,43408375,34307005,34307004,33512095,25732942,19100400,19100399,25732940,255943208,28267099,255943212,33512130,255943200,25732931,255500050,25732847,19100347,13636887,9338018,9338019,13636891,19100354,19100407,19100408,21064307,21064306,28267103,33512012,25732884,19100369,13636900,9338024,6116525,3826923,2292695,2292696,3826927,6116532,9338039,13636929,19100372,25732889,25732826,19100337,13636882,9338013,254547452,19100331,25732816,33511953,42511452,42511523,255500044,25732881,33512009,33512082,268234936,19100365,19100364,25732876,33512002,42511510,42511668,42511667,52921484,64846201,52921318,52921319,52921369,42511576,42511577,33512077,33512078,42511457,33511957,33511958,42511459,52921277,52921380,64846258,78043058,64846141,52921259,52921257,42511446,256443070,64846136,78043056,78043161,64846265,63050469,52921473,52921472,64846262,78043160,269829426,64846250,64846249,64846380,52921487,42511674,42511675,52921490,64846384,78043085,76033513,63050484,63050485,51369328,51369327,63050493,76033524,89810483,91969912,271555411,106167886,258176686,64846373,64846374,64846233,52921352,42511557,33512051,25732910,25732909,33512049,42511553,52921345,64846221,78043120,78043141,78043076,78043075,78043233,256987234,52921458,64846342,78043230,78043250,64846361,52921474,52921475,64846364,258176682,59355775,71293887,257451133,47172893,58561851,71293886,84868077,74700939,61907405,61907404,74700937,88328658,78043209,64846322,64846323,73524454,60776342,49374843,39446361,39446362,49374845,40788086,40788084,50904807,62505291,61907369,61907368,50416993,50416992,257716612,40382568,31688903,24180231,24180232,256547179,50416973,61907393,51302527,41119720,41119721,51302529,50282933,50282932,61762736,74546522,74700962,61907435,50417000,40382582,40382581,50416998,61907432,73524402,60776292,60776291,73524399,74700919,61907387,50416969,50416968,61907380,74700905,78878898,65543817,53519704,53519703,65543815,74700914,88328641,88328638,256580624,50416962,50416961,61907377,73524442,60776333,49374834,256070264,30841925,39446352,38669902,38669900,48585925,49374815,60776315,49374819,39446370,30841939,30841938,39446369,49374862,256580622,43041267,33983797,26143990,19446733,19446734,255220088,43041268,46908314,58273477,50904800,40788077,32031206,24468930,18048977,18048978,24468933,32031210,40788080,50904804,62505278,50904789,50904790,53519715,43041352,255614416,37611190,29061935,29061936,37611192,47516053,53519683,65543801,53519684,43041301,33983829,26144022,26144021,33983826,255614462,43041317,33983843,26144030,26144029,33983841,42186979,42186980,48377948,38475709,38475710,43041307,33983833,33983834,43041309,47984381,38072244,254889462,22167913,29508451,33512036,33512037,41852485,254626482,19446762,13916063,9551234,6267069,6267071,9551239,13916078,19446786,26144061,33983893,43041372,53519726,58273470,52545714,256070268,25478415,25478413,33226783,42186978,46950025,37070362,37070361,32367095,32367094,41183175,43041285,47984393,59374232,65543818,78878919,76033550,63050521,52545721,42186988,33226789,25478420,25478421,33226791,42186991,43041341,33983863,26144045,19446776,19446777,26144048,33983867,43041343,37702566,32367072,32367073,32173089,24750120,24750119,32367093,28568027,21340610,15366324,15366325,21340613,28568030,255511916,25732903,25732904,33512043,26949440,26949439,35030103,40605351,31896226,31896225,40605348,47060216,47060217,257131528,24750127,18276310,18276311,14498376,9976215,6556878,6556880,9976219,12971584,8829494,5753419,5753418,3923915,3923914,6267067,8703526,255214317,24478574,32043350,27105397,27105382,21408611,21408610,21477429,21477432,28698330,28698331,29141682,33644531,28570117,28570116,256070222,13703198,9385489,6148735,3847505,3847504,6148732,9385483,13703190,19187458,21370024,15389919,15389920,21370025,28603689,268918214,21335954,28562557,31896164,31886822,28685406,24359643,17964912,17964913,24359645,31886820,28630858,21392162,15441231,15441230,21435615,21370042,15389927,10635836,10635835,15389923,21335358,15361963,10613545,10613546,13850744,9501691,6232206,6232205,9501687,10613920,10613921,15362425,256856313,58309634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14186714, s2 = 13371942, dlinesl.size( ) = 2 s1 = 14186714, s2 = 13371942, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14186714, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 11047215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10558900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10558900, s2 = 11047216, int(edited[s2]) = 0 s1 = 10558900, s2 = 11047216, d1 = 1, d2 = 1 Dl.O(d1) = 9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316172,2269140,3787459,3793245,2272139,1317695,1317696,2272143,1317773,1317770,2272272,3793467,6063067,9257455,13065715,13065714,18395057,24897486,21638882,15607191,15607190,21638881,21125544,15176910,10467214,6899837,4331896,254720487,15176913,21125545,28337772,36834554,46717223,58088951,70805787,84364422,98272948,112252650,126108545 Dl.O(d2) = 9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316172,2269140,3787459,3793245,2272139,1317695,1317696,2272143,1317773,1317770,2272272,3793467,6063067,9257455,13065715,13065714,18395057,24897486,21638882,15607191,15607190,21638881,21125544,15176910,10467214,6899837,4331896,254720487,15176913,21125545,28337772,36834554,46717223,58088951,70805787,84364422,98272948,112252650,126108545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10558900, s2 = 11047216, dlinesl.size( ) = 2 s1 = 10558900, s2 = 11047216, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10558900, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14077649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11047265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11047281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047281, s2 = 11072962, int(edited[s2]) = 0 s1 = 11047281, s2 = 11072962, d1 = 0, d2 = 22 Dl.O(d1) = 25516609,257204977 Dl.O(d2) = 269873680,40959972,32181021,32181022,26373608,19640283,14076552,9681602,6367777,3995616,3995615,6367772,9147089,9147088,11078397,11078394,11333416,11333415,16290199,15962034,11078410,7345926,7345927,11078412,15962036,269095480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047281, s2 = 11072962, dlinesl.size( ) = 32 s1 = 11047349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11047369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047369, s2 = 11105646, int(edited[s2]) = 0 s1 = 11047369, s2 = 11105646, d1 = 7, d2 = 11 Dl.O(d1) = 19804511,255726559 Dl.O(d2) = 80299588,269639504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047369, s2 = 11105646, dlinesl.size( ) = 12 s1 = 11047405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047405, s2 = 11312812, int(edited[s2]) = 0 s1 = 11047405, s2 = 11312812, d1 = 17, d2 = 15 Dl.O(d1) = 268749329,77755755 Dl.O(d2) = 259495156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047405, s2 = 11312812, dlinesl.size( ) = 20 s1 = 7869259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7869259, s2 = 14023548, int(edited[s2]) = 0 s1 = 7869259, s2 = 14023548, d1 = 0, d2 = 3 Dl.O(d1) = 7784222,4934483,4933638,2976462,2975608,1726960,1726959,2975602,4932477,4936088,7783322,4933726,4933725,4933999,4933998,2984534,2975960,1727167,981893,552858,552859,981898,1727175,2975981,2979942,1729830,1729828,2979936,2975771,1729684,1729682,2979735,2979481,1729553,1729086,1729085,2978839,1729352,1729351,1732728,1727799,982197,552992,552991,982192,1727786,2976909,4934179,2984094,2976552,2976548,2976547,2978802,254171837,982910,1013696,982694,982695,1728680,2978225,2984087,2984088,2983503,2983504,4931981,2975201,2974818,2974819,2979819,2977272,2974791,1726717,981666,552750,309370,171140,94202,51983,51984,94206,171153,309392,552793,981744,983245,983246,1729593,2979557,4937770,7788078,11679635,7794476,4942200,2982368,2982364,4934697,4931605,2978059,1728548,982618,553213,309592,171254,171251,309583,171463,171443,171445,171484,310057,554112,982632,982635,984416,1728645,1728646,1726855,1726856,2975463,1731804,1731807,2982917,1731623,1731625,2979491,1940137,1940136,2975110,2975107,4931851,7781359,5365948,3298772,3298771,267909627,4938752,2980229,2980230,4938754,7789414,11681241,7794176,4941982,2982220,2982221,4941985,7785881,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,983851,553867,309935,309934,553861,983834,1730620,2981287,4940508,4942439,4942440,7794721,7786514,7786515,7789099,10846538,10846540,7794072,4941904,2982171,2982172,4941907,7786668,7786671,11672481,16714268,11676842,11676843,11676962,10693726,7064845,4448160,2672410,2672411,4448165,7064855,10693739,11684874,16727575,16714198,11684511,7791670,4941827,2982104,2982102,4941822,7793991,11687445,11680582,11680581,16722203,16983897,16983899,11993877,8045649,7957751,7957752,11899412,11924681,7978631,7978632,8060458,7971826,7971825,11640774,11640773,11481867,7636609,4831222,4831223,5073296,254564119,7998224,5091588,3089884,3089883,5091586,7998223,11948438,17033589,22453430,16284252,16284251,11897289,7980302,5163811,5163809,8069433,11926772,7980473,5079090,5079089,7980471,11926769,16969098,254821898,23268855,17005530,16961132,11873047,11873046,16720133,11678399,8282002,8282003,11898368,11898366,11892676,7952113,5057721,3064263,1786283,1786282,3064245,5057661,5057659,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,1789644,1789640,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,3078035,3315493,5391787,7957975,7957974,8347911,8347914,12355751,12154865,8185254,8185253,7231659,4558142,4558144,5388617,3313527,1949319,1949322,3313539,5388633,7470212,7470211,11253398,8352078,5392221,5392223,8354046,12356255,8348285,8348283,12356247,11690193,11690191,12357856,12357857,12356230,12356229,16980134,16980135,21775901,17522189,17522188,16990306,11904965,11904966,12362745,12362744,16981213,12013638,12013637,17099551,22843309,16620365,254373590,8353553,7161858,4510723,4510722,5388464,3313441,3313443,5388470,254851131,17522027,23866096,25355486,32720274,25033614,25033615,256613683,48385113,38482528,29922443,22563006,22563007,29922445,33708915,33708914,34213378,26339815,19611345,19611344,26339813,34213374,42148168,42148167,33190069,25444666,18847659,16448208,16448209,22636258,30006311,38577181,48490450,49799817,40774712,32018604,32018603,268469402,49772634,39754085,35156169,27070313,27070314,22689610,16489078,16489076,22689602,30068605,38643894,48559151,59951290,57881019,46524905,36657336,36657337,30176607,30176606,38759627,39857691,49880633,46524893,36657417,28180969,20998414,20998415,28180971,36657420,46524993,256502394,36860553,31278560,23792717,17460969,12309655,8314430,5364885,3298063,3298061,254591705,12309640,255548033,12170703,8202732,5273800,3228094,3228096,3328857,1957786,1957788,1957739,1118312,1118314,1957750,1118383,627495,348594,191120,191118,348588,627481,501608,281297,155302,155298,281285,501585,889008,1563836,2699510,4493243,3260206,1915620,1094067,614211,614214,1094058,1915611,3198856,1915821,1915822,1889660,1078268,1078269,1889667,3223797,4733425,3243110,1903196,1086431,1086432,1885795,1655367,941918,531285,531286,941928,608164,338435,338431 Dl.O(d2) = 1082792,1897083,3234164,5280876,5319904,254267199,1097905,616290,616291,1097908,1870250,1870251,3195057,254759035,267823753,1514076,858208,858207,1514035,2623056,4379820,4370519,4370465,2618347,2618348,4370222,4370223,6066542,9262405,8105008,8105009,12055043,17151597,17156911,15300084,15276424,10542660,10542663,6972378,6972381,10570817,15294905,10559400,6972190,6955605,4370310,4370309,6955600,6961178,6961264,4373663,2620007,1512495,857520,857519,1512486,2619987,2621993,1513406,1513403,2621981,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,4373506,6960999,6960996,9106416,12055781,12055782,13502858,9238407,8109086,6974626,4381493,4381494,6974629,8106620,9255325,8115132,5198994,5194512,3169516,3169048,3169046,3169947,1856000,1856002,3170226,5195912,5404753,3322815,1954389,1954388,3322808,3791653,3791652,5404725,8374584,6068628,3797000,2274308,1318856,1318857,2274315,3789469,3789470,6055931,6056378,3789660,3789661,6055978,9246753,13513787,15261727,21231441,23426679,17149001,17148709,13511731,13511727,18948476,21638905,15607241,12393846,8375738,5405504,5405502,8375733,12393840,17555124,12384591,12384590,17555120,268112874,13510357,267844968,17560156,12389363,8372409,8372412,12389394,15474764,15474763,254756531,4588591,4588590,7275948,10991215,15857772,21947121,29269538,29305760,21978168,21978167,29305758,37874841,47798867,59198790,57721620,46371237,46371238,37874858,37874856,47798878,39163064,30565517,30565516,32551434,255631957,13068195,8904956,8904955,11724690,7827394,7827396,11724694,16770267,255892795,16070769,16070767,255892793,21307335,15337619,10593261,6988122,4391195,2631031,2631029,4391184,6988097,10593219,15337538,21307192,28352309,21138391,21138388,15187776,15187777,21138432,15902075,15902076,22002139,29332902,23442551,21307383,15337645,10593281,10593279,15337496,21307121,28529422,37027441,39743220,37506834,28963434,28963435,36849672,37515998,32175873,32175874,37027578,28972517,21690302,21690301,28972515,28972424,21690219,21690218,28972423,37515925,39860918,32176081,24589671,24589670,32176079,33048494,31823184,31823182,36849438,36849435,256127796,40396419,31704326,24196661,17827355,12622672,12622671,17827352,24196654,18143474,12865862,9115500,9115499,13341889,18741885,19442430,21860964,20021746,14340095,14340094,20021739,26904843,22382560,19842928,19842926,19842941,14215819,14215817,17454002,12304102,8310482,8310485,12304111,17454021,23690682,31180336,23969163,23969162,28352372,23689376,17367352,17367349,23689364,18143314,18143315,24587902,25690112,33462180,33462197,25690119,19066006,13611362,9320301,6105345,6105344,9320298,13611357,19065996,25690103,33462169,39861011,35183544,27094780,20195676,14490617,9970235,9970237,14490627,9970278,6552599,6552595,9970265,14490674,20195758,27094904,27123472,26378707,26378706,30669909,39265737,40953831,39860880,32176228,24589799,18144586,12866517,12866516,18144584,24589794,31177755,31177754,39860514,44631432,35246991,27148882,20238699,14522555,267948675,4114126,4114127,6567412,9992668,14522563,20238710,27148901,35247016,44631457,55481592,49447275,49447276,59312514,71955431,59217151,59217150,59171343,47772415,37849315,29281459,29281458,29328452,21998156,21998155,16735940,11692657,7798377,7798378,11692659,16735943,15898911,11021796,7297122,4602459,4602458,7297118,11021790,15898904,21998148,29328441,31096633,268221744,17417238,12275984,12275983,16735938,255142001,11943254,255258241,5991023,5991024,9154203,13390472,18797520,25382544,25382431,18797425,18797424,16021655,16021656,22138564,29475321,38038175,255930976,33117914,25382727,18797661,13390563,9154259,5991057,5991058,9154260,13390566,13390526,9154238,9154239,13390527,15127538,10433878,6878584,4317782,2582339,1487767,254118655,474768,841812,1487768,2582341,4317783,6878585,10433879,255378059,21060196,28262115,30707977,30350396,30350397,38936213,46993468,37108334,28599833,21366696,15387187,10633839,10633838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7869259, s2 = 14023548, dlinesl.size( ) = 2 s1 = 7869259, s2 = 14023548, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 7869259, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14023547, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14186756, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11047477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047477, s2 = 11088500, int(edited[s2]) = 0 s1 = 11047477, s2 = 11088500, d1 = 0, d2 = 13 Dl.O(d1) = 25563340 Dl.O(d2) = 257209011,64592636,260040636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047477, s2 = 11088500, dlinesl.size( ) = 8 s1 = 11047487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11047723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047723, s2 = 11330676, int(edited[s2]) = 0 s1 = 11047723, s2 = 11330676, d1 = 11, d2 = 6 Dl.O(d1) = 255503457,11624799,7743053,4903122,2955207,2955208,4903126,7692368,4867913,2933352,2933353,4867915,2934329,2934328,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967576,966034,966032,1699020,2929027,2933895,4868832,5964867,9116561,13343108,11563417,7696082,4870611,2935027,2935029,4796808,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,1709655,2947879,2947878,254799263,255501511 Dl.O(d2) = 271314814,72898951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047723, s2 = 11330676, dlinesl.size( ) = 8 s1 = 11047759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15405563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15405563, s2 = 11368431, int(edited[s2]) = 0 s1 = 15405563, s2 = 11368431, d1 = 61, d2 = 9 Dl.O(d1) = 31292794,31292793,31292724,23807075,17474010,12319603,8321257,7132584,4490479,4490480,7132586,10795428,15604391,17446523,23776224,22197529,16068569,16068570,22197531,16254056,11300577,7502701,4742566,2858159,1658757,1658756,2858155,4742556,7502677,11300539,12292150,8301740,5355744,3291751,3291750,5355736,8301722,12292119,17438417,20271824,14544580,14544579,20271822,27198374,35322024,31293153,31238462,23755013,23755011,31238460,39913854,43310505,43310506,38356636,38277240,38277241,31292881,255724792,26338563,28603592,21369940,15389869,15389870,18351507,18351506 Dl.O(d2) = 123994370,137675682,150672217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15405563, s2 = 11368431, dlinesl.size( ) = 8 s1 = 11047843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047843, s2 = 15324161, int(edited[s2]) = 0 s1 = 11047843, s2 = 15324161, d1 = 0, d2 = 5 Dl.O(d1) = 19054370,19054374,13602570,9314276,9314277,13602577,19054429,25676221,33446972,37442529,28902972,21628385,15597402,15597403,21628386,25676132,19054349,19054347,25676128,33446995,39415727,49345352,42439850,33446772,25675960,19054231,19054230,25675955,33446764,38156587,48069046,49345281,39415604,39415603,49345276,39415647,30810406,30810404,33446989,39415748,30810547,25675978,19054245,19054246,25675981,25676091,19054323,19054324,256144711,25676240,25676238,33447061,37442518,37442519,47349242,39415901,268427761,23382247,30810765,39415903,42439884,42439885,42440018,52844578,59381347,52844587,52844588,52844589,48160974,48160975,52844732,60748484,64764512,257403630,35330559 Dl.O(d2) = 38078584,47453639,37545652,37545651,47453635,50334244,40308234,31619889,31619888,40308232,49894577,46755855,46755856,39380049,39380047,46755868,47991429,38078675,29514135,22172619,22172617,29514128,38078659,40308249,40308248,50334268,52844613,47991391,38078639,29514114,22172609,22172610,29273582,21950357,21950358,29273584,29273652,29273654,37839981,255189088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047843, s2 = 15324161, dlinesl.size( ) = 2 s1 = 11047843, s2 = 15324161, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11047843, Dl.E( ) = 8, 4.77e-06 seconds used appending s1 = 14092615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048091, s2 = 11104424, int(edited[s2]) = 0 s1 = 11048091, s2 = 11104424, d1 = 6, d2 = 8 Dl.O(d1) = 257224177,269414180 Dl.O(d2) = 40735888,31987045,24431976,18018688,12770798,8680462,8680463,12770801,18018692,16961017,11872895,7936393,5046743,5046744,7936395,11872903,16961024,23233774,18264906,12961364,12961363,18264904,24458955,18040321,12788055,12788054,12941320,8804312,5735116,5735119,5738869,3573580,2130071,2130069,3573574,3577335,2131986,1230304,696346,390439,216610,118828,118826,216423,216421,390063,695620,1228925,2129358,3572332,5736976,8806984,12944603,18247449,24720659,32336819,41152055,51337381,51025666,51025665,41308233,41308234,255694060,58805672,62651863,71882019,59143874,47745207,37823201,29258215,21937437,15849561,10984302,10984301,15849560,21937436,21937462,21937467,21937315,15849465,10984341,7270759,7270760,10984344,15849553,15849493,15849492,10984297,268080005,21937425,29258203,37823098,37823097,47745094,47745168,59143840,71881995,77726181,85466609,99407449,90073697,90073696,259073296,257235736,52649506,52649505,47745133,37823128,29258147,29258148,256910721,59143804,71881965,77726160,91653860,105861843,105861841,91653849,77726142,64543990,52644792,42259179,33279478,33279479,33279509,257205193,58603344,71334825,84906827,84906835,71334835,71334834,84906834,91653854,91653853,105861830,105861829,91653838,77726117,77726118,91653840,105861836,116118898,120074385,260377930,102061005,257885908,74462891,88075106,100396791,91652833,77725165,77725164,91652831,95611295,109814716,109814706,260418265,115940794,259041260,87920642,97690845,111609393,113408480,127267050,133903308,133903307,147128197,260917370,133906941,120063569,120063568,260284122,133903299,259668128,91639519,77712542,77712543,70307863,70307862,83833018,88135536,102123006,116180270,130087664,259668134,99407403,85466544,71881898,71881895,77712552,91639535,91639593,91639536,91639537,105847290,260280775,260637249,100385986,100385987,114409002,120059754,120059755,120059743,105847323,91639571,91639572,91639585,77712585,64531563,52632701,52632702,64531565,77712588,91639587,105847344,260876005,127267046,113408469,99407414,99407415,113408470,111651715,111651716,113412393,99411226,85470364,258101153,256911147,29261630,21940310,255064189,10986409,15852041,21940316,29261639,36490210,28027703,28027702,256810161,31573142,257670315,270789441,57697204,57697203,70391111,83917209,74632005,61839749,50355519,40328300,40328301,50355521,59337035,47945212,257505461,72071295,68107296,55710271,255407354,27253810,27253807,29682078,38246948,255732422,72277231,261722337,260976390,136847928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048091, s2 = 11104424, dlinesl.size( ) = 8 s1 = 13292522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048167, s2 = 11256790, int(edited[s2]) = 0 s1 = 11048167, s2 = 11256790, d1 = 24, d2 = 20 Dl.O(d1) = 19128807,19128808,17281181,12160230,11251737,7469106,7469102,11251722,7999132,7999130,11949821,10789447,7128485,7128484,10789432,15596638,17500619,14020331,9637649,9637648,11540623,254193608,11540629,254616006,18522675,18522674,22771203,22769838,16555811,16555810,22626447,16440676,11454843,11454842,16440675,22626444,28028195,22465613,20828549,14929925,14929924,15631343,20832236,18695920,13302902,13302901,16212150,267858888,15588863,15588864,20980518,28160020,36634707,37439041,255202954 Dl.O(d2) = 258294026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048167, s2 = 11256790, dlinesl.size( ) = 26 s1 = 11048169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048169, s2 = 11220476, int(edited[s2]) = 0 s1 = 11048169, s2 = 11220476, d1 = 9, d2 = 12 Dl.O(d1) = 19129003,16548718,255492669,23828655,17490843,12332421,8330954,5376794,3306243,254185463,1111216,254593229 Dl.O(d2) = 257066449,61491147,73264025,60518724,257011953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048169, s2 = 11220476, dlinesl.size( ) = 14 s1 = 13235485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16363227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16189513, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11048295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048295, s2 = 14246842, int(edited[s2]) = 0 s1 = 11048295, s2 = 14246842, d1 = 10, d2 = 13 Dl.O(d1) = 19159509,13681188 Dl.O(d2) = 13630628,13630629,19092163,268300118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048295, s2 = 14246842, dlinesl.size( ) = 14 s1 = 1326741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048461, s2 = 11027526, int(edited[s2]) = 0 s1 = 11048461, s2 = 11027526, d1 = 11, d2 = 0 Dl.O(d1) = 255265754,6151017,3848868,3848869 Dl.O(d2) = 2306173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048461, s2 = 11027526, dlinesl.size( ) = 8 s1 = 11048543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048543, s2 = 12249551, int(edited[s2]) = 0 s1 = 11048543, s2 = 12249551, d1 = 0, d2 = 0 Dl.O(d1) = 25875161,255700459,13843376,19355487 Dl.O(d2) = 25875161,255700459,13843376,19355487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048543, s2 = 12249551, dlinesl.size( ) = 2 s1 = 11048543, s2 = 12249551, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11048543, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11048561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048561, s2 = 11075862, int(edited[s2]) = 0 s1 = 11048561, s2 = 11075862, d1 = 11, d2 = 8 Dl.O(d1) = 25208029,25208031,32170871,40950395,32394743,32394742,37158511,37158510,31438601,23947243,17601873,12424218,8397057,5883198,5883200,3691686,2210150,2210151,2160838,2160840,2160331,2160330,1282842 Dl.O(d2) = 258391133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048561, s2 = 11075862, dlinesl.size( ) = 12 s1 = 13297455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048691, s2 = 10672372, int(edited[s2]) = 0 s1 = 11048691, s2 = 10672372, d1 = 33, d2 = 36 Dl.O(d1) = 19240390 Dl.O(d2) = 42737952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048691, s2 = 10672372, dlinesl.size( ) = 2 s1 = 11048691, s2 = 10672372, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11048691, Dl.E( ) = 76, 3e-05 seconds used appending s1 = 11048971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048971, s2 = 14070248, int(edited[s2]) = 0 s1 = 11048971, s2 = 14070248, d1 = 15, d2 = 21 Dl.O(d1) = 269102969 Dl.O(d2) = 259700528,260614494,59754700,48372247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048971, s2 = 14070248, dlinesl.size( ) = 8 s1 = 13393540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049017, s2 = 11133468, int(edited[s2]) = 0 s1 = 11049017, s2 = 11133468, d1 = 0, d2 = 50 Dl.O(d1) = 25992503 Dl.O(d2) = 258450614,39500913,30893654,23460721,17182013,12081195,8124071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049017, s2 = 11133468, dlinesl.size( ) = 14 s1 = 11049019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049019, s2 = 12445252, int(edited[s2]) = 0 s1 = 11049019, s2 = 12445252, d1 = 27, d2 = 20 Dl.O(d1) = 19321982,13816489,13816490,256623463,25233962,25233964,32953791,40866683,32094989,24520090,18088820,18088819,24520087,32094981,40866671,44642343,35257828,35257829,44642345,54654730,50886739,48358825,40366791,40366793,50402238,50072033,40052172,31371233,31371234,40052174,43912039,40866624,38736455,38736454,38457500,38457499,40080359,40080357,37286506,256591565,24725006,24725007,256591569,40003528,32814444,32814445,41735038,40003457,31325659,31325660,27100825,27100826,35189673,44567835,55415226,67755478,81221719,95279151,109533841,123725633,137453448 Dl.O(d2) = 191988261,191981702,183422730,183422729,191981699,260999536,173631593,162604699,162604697,150479177,137442066,123712624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049019, s2 = 12445252, dlinesl.size( ) = 20 s1 = 11049073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049073, s2 = 14018184, int(edited[s2]) = 0 s1 = 11049073, s2 = 14018184, d1 = 20, d2 = 24 Dl.O(d1) = 26011219,24293720,17911624,12689820,8620405,8620407,12689829,17911651,19117823,25756204,20240142,14523582,9993308,9993309,14523585,15163998,15164000,15164129,21110087,15164443,10457988,6893486,4327293,4327291,6893481,10457978,10458484,10460428,6895078,4328182,2589277,1492615,845207,477029,477030,845213,267785559,4328215,6895143,6895073,4328177,4328176,6895072,10458609,10458815,6894012,6894011,10458812,15165555,21110013,15167571,10460476,10459562,6894504,254491483,2589107,2589106,4327874,6894545,10459615,15166561,15889100,11014505,11014504,11903137,7961032,7961029,11903129,16988335,23251261,28431039,21207130,21207132,28431028,254330328,19072134,13615772,13615773,19072136,25697801,33471013,28436117,25697794,19072129,13615765,13615764,255681055,7994734,7994735,11944220,17029322,12317834,8320213,8320214,12317838,256012403 Dl.O(d2) = 49982856,254851790,268112273,5393418,5393417,8355922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049073, s2 = 14018184, dlinesl.size( ) = 20 s1 = 11049093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13293920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049185, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11049193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049193, s2 = 11205732, int(edited[s2]) = 0 s1 = 11049193, s2 = 11205732, d1 = 5, d2 = 11 Dl.O(d1) = 19363223,13850242,9501392,9501394,13850246,268311183,25051035,21352396,21352395,17682757,17000708,11914192,11914191,14417201 Dl.O(d2) = 4218381,2522052,2522053,267743332,10247769,11004690,7284930,4594092,4594091,7284927,11004685,13353441,11003235,11003234,15874425,17268392,12147640,12147642,16716894,11675131,11675132,16716897,22952345,16993506,16993505,17178770,12078663,12078664,17178762,22968250,21575479,15552197,10756339,7106416,4474072,2687925,2687924,4474067,7106402,10756307,15552140,21575381,28847306,28847325,34641371,26649881,19836303,14210431,9769076,9769074,14210424,19836292,26649863,34641351,31063865,31063866,39741758,39741738,31063839,23580204,23580203,31063836,38956474,38956459,30370353,22968877,22968878,30370354,30370338,26649804,19836256,14210408,14210409,19836260,26649810,34641294,38956499,256997400,49443681,49226268,39512401,38956470,38956466,30370361,22968885,22968884,22968865,16733042,11690387,11690388,255509177,30370341,38956447,39298972,30701319,30701318,39298970,39298976,38165543,256936027,49226243,49226244,39299366,30701789,23285945,17026771,16733068,16733069,22968920,23785608,17454850,12304748,12304747,11941698,7992604,7992603,11941695,12304821,11941724,11941726,11941827,11941829,17026699,17026700,17026756,17026757,17026902,17026903,16987441,11902308,11902307,16987436,23250357,17029437,17029436,22190518,16062673,11153268,11153267,16062667,22190513,268633055,23288263,17028964,11943886,7994455,7994456,11941413,11941412,7992716,7992717,11868832,11868831,11942658,16979015,11892172,11892173,16979016,23243678,16976627,16976626,23236034,30657308,23785635,17454871,17454872,255141905,7992748,5087622,5087623,7992750,11941849,16964213,11876207,11876206,11889620,11889619,16733380,11690681,11690680,11892181,7951714,7951713,11889608,11889610,255465905,11253632,7470382,7470380,11253628,11676634,11676635,11944555,11690510,254553331,1732257,254369881,7796683,11690528,16733036,11690382,7796592,4943997,2983759,2983758,4943996,7796589,11690376,7796788,7796787,7796209,7796208,7781813,4932305,2975469,2975470,1727662,982130,982131,1727664,1732574,984991,554469,554470,984994,1732581,2983849,1732275,984805,554361,310175,171540,171541,310177,554367,984817,1732305,2983909,2983917,4934740,2977374,2110576,2110575,3544498,4943868,2983682,2983681,1732162,984738,984737,1732159,2983698,2975468,2975467,4932301,7781809,11672780,11690199,255125685,17792734,16732410,268974300,38955892,48875441,269833065,269952844,268721164,35070454,26986811,268548637,48048714,40720775,40720776,40720734,31973899,31973898,40720732,50824655,60761549,58405173,58405172,71122996,70789009,58071733,46699676,46699677,50824697,50410823,255457246,31682956,40376334,50410821,50824743,50824733,256057656,24420612,256057649,40720837,40720909,40720908,259562207,257775464,23772072,17443314,12295905,8304625,8304626,12295911,17442804,23771317,17443292,12295895,12295896,14538633,10002902,6573464,6573463,10002897,11172648,12296002,8304666,8304670,12296010,14489806,20194609,22218413,16086704,15140162,15140163,21077461,18307676,12995673,12995674,13075224,12298444,12298445,17447045,23776857,22780106,16564740,16564738,22218171,16086535,14489860,9969739,9969741,8306078,5359072,5359074,8306069,12298313,13075268,13075269,18408162,18702921,25275446,20194798,20194802,20194816,20194814,27093926,31255934,26935627,20049417,20049418,16018081,15514213,12295846,8304604,8304605,12295852,17443215,16086343,11172523,7412540,4683837,4683838,7412546,8711021,5670633,5670635,8711031,12811972,15223917,17251236,12131817,12131818,14405437,11172774,11172601,7412578,7412574,11172587,11172669,8296615,8296613,12285212,17430047,12297731,8305709,8305712,12297708,12295519,8304442,8304438,12295536,17442632,23771077,21276040,21276037,17429339,12284788,8296381,5352118,3289355,3289353,5352112,8296360,12284751,12284940,8296466,8296467,12284942,17429587,14506969,9982337,9982338,255336977,256009871,39935998,36752947,28257907,28257908,26968841,26968840,35050038,40496751,40496750,39343544,258212203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049193, s2 = 11205732, dlinesl.size( ) = 12 s1 = 14504748, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11049465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049465, s2 = 11656708, int(edited[s2]) = 0 s1 = 11049465, s2 = 11656708, d1 = 11, d2 = 13 Dl.O(d1) = 19446572,19446571,26143778,23431467,20331945,255340885,14552060,10013105,10013106,14552064,20281102,256235767,44761200,55671007,68070200,81560217,92916751,260337051 Dl.O(d2) = 261568292,98479925,112470585,126336952,139711574,132057460,132057458,145295409,134756395,120959543,120959542,107116772,92773436,78708233,78708234,84073647,97947219,85822844,72229806,59493696,59493694,72229800,85822800,85822802,99776500,87822108,74217740,61438425,61438426,74217744,87822117,256988140,65764010,255500860,34109212,255710513,13980847,13980848,255300941,9602809,6306327,6306326,9602806,13980845,11063164,7335484,7335486,11034050,268081101,15912393,15912390,22013886,29345880,29622652,22271368,16129722,11204769,11204770,11204850,11204851,16129834,268329622,268812270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049465, s2 = 11656708, dlinesl.size( ) = 14 s1 = 11049565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049565, s2 = 11156694, int(edited[s2]) = 0 s1 = 11049565, s2 = 11156694, d1 = 16, d2 = 25 Dl.O(d1) = 268129778,43070690,53549650,48015721,48015722,255134754,39698296,39698297,268099504 Dl.O(d2) = 258437819,92376599,106680011,120931954,134729699,147854866,160108523,260925248,155663330,167295011,177789349,181362168,171334354,160108704,147855047,262003385,171334358,181362171,190170352,263689312,181362196,171334387,160108745,160108691,273428682,263368205,262499053,147855037,134729861,134729860,147855034,147855044,134729865,120932119,120932120,134729867,147855046,160108701,147855110,134729948,120932226,106680312,92376945,78344479,65065518,257158756,42634577,42634106,33608730,254901198,267856480,10995459,268396407,47771498,37959860,29395441,255447363,11077199,7345130,268220553,25630838,33396808,26402083,19667814,14098227,14098226,19667812,26402079,21907695,21907696,29223221,29601971,30159105,38741810,47114512,37217335,37217333,47114510,58492783,48663482,38741807,38741808,47261389,47261388,257916490,50672952,40616685,31903413,31903414,31105754,23620521,23620520,31105750,39784955,49804259,61282559,71852574,59114643,47717249,47717248,59114640,55382575,55382573,67722462,72961833,81187652,67723242,55383563,55383272,55383274,67722965,59114936,59114937,67588016,81055553,81186635,257916428,47717337,37796757,29234272,21916948,21916949,29234274,37796760,47717341,47717467,47717465,59114850,71852740,59564545,59564546,71852448,71852596,71852597,71852456,59114494,47717130,47717129,59114491,71852453,85437620,99378756,88693136,75042337,75042336,64408097,52535208,42177746,267750218,254215450,59114895,59114896,51265922,48575300,38659393,30082143,22700385,16496968,11494054,11494055,16496971,17991600,12752216,8667133,8667132,12752213,17991594,24391609,31924624,40640360,37796625,29234197,21916902,19434773,13906396,9544007,6261841,6261840,9544006,12432005,12432004,15621643,10808632,254506975,4496924,254742441,255417801,23676016,17356136,17356135,256002665,39846424,49868736,257077521,40135454,50157948,61641586,74423367,258060879,47161069,37255866,28724345,28724344,37255862,257450041,37255864,37255863,47161066,58549571,270294959,98780596,258685489,257450037,37255842,28724324,21467589,256329243,256530369,257660211,74422793,258868292,256507006,40377794,40377795,50412337,47161045,37255846,28724326,268615163,269784111,71280882,58549541,58549542,71280886,84854321,74422789,61641089,61641090,71280893,58549545,58549544,58549553,256870363,37255855,47161053,58549555,258685493,259931593,84854344,71280919,58549569,256870365,28724336,21467599,15466138,15466137,21467597,28724335,37255860,47161062,58549567,71280888,258685491,260532777,126625222,259931591,84854323,259152421,257902757,44366559,34988505,34988504,44366558,55217631,67561164,81030358,95088645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049565, s2 = 11156694, dlinesl.size( ) = 20 s1 = 13294602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15097183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14497097, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11050217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050217, s2 = 14997428, int(edited[s2]) = 0 s1 = 11050217, s2 = 14997428, d1 = 10, d2 = 0 Dl.O(d1) = 19772509,15366511,15366510,254896448,28695961,30557451,32408192,24783513,18301951,18301953,24783222,32407877,41232694,41232837,41232835,256084173,24783349,269044657 Dl.O(d2) = 153648674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050217, s2 = 14997428, dlinesl.size( ) = 8 s1 = 11050233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050233, s2 = 14005200, int(edited[s2]) = 0 s1 = 11050233, s2 = 14005200, d1 = 1, d2 = 1 Dl.O(d1) = 19778837,19778838,26582174,29139363,29139364,37700149,47623275,43840544,34568810,26582233,19778877,14167144,14167145,19778888,26582252,26582134,19778817,14167097,9739659,9739658,9739666,14167111,19778843,26582181,34568729,36418412,35362268,27239282,27239284,35362273,44786389,54584882,66844490,80274493,80274538,66844669,54585308,43840562,43840561,54585174,43840385,34568676,26582138,26582137,34568674,34568824,26582243,19778884,14167139,9739685,6404562,4018202,4018201,6404559,254961887,254961885,6404552,4018197,4018198,6404555,9739671,14167120,14905470,14905469,20798682,26582509,27239260,20308931,14574546,268179063,20308946,27239289,35362278,35362494,29504184,29504182,34568389,26582012,26582013,34568391,35362331,35362330,43841095,43839996,34568352,26582146,19778821,19778820,26582142,20309086,14574650,14574652,19778747,26581996,19778875,14167132,14167133,19778876,26582190,26582189,34568375,34568321,26581976,26581977,34568323,43839955,34569005,26582368,26581965,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304494,28526419,37024381,34568500,34568501,43840184,54585042,54585132,43840658,43840657,54585387,66844705,54585732,54585731,66844480,54584866,54584864,66844476,66844529,54584984,54584985,66844522,55450453,256413848,54585052,43840202,34568518,26582072,19778787,19778785,26582068,34568511,43840194,54585046,54585756,54585717,43841047,34569229,34568430,34568431,43840087,54584961,43840088,34568925,34568924,43840693,255476680,66844727,67792534,67792533,256956252,59736318,255535322,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,49367973,48828863,39437327,30833178,30781855,23357111,17088850,12001321,12001320,17088843,255980161,39383777,49311524,58652962,58652992,47261185,47261178,37351712,28813027,28813026,28813081,21545066,21545068,28813083,37351773,47261245,53145694,58653001,47261199,47261201,58653003,71388149,58653037,58653036,58653017,55450096,44600896,43862026,41177200,41177199,47261153,47261154,58652964,47261169,37351702,37351703,47261172,58652980,59976888,48585198,48585197,59976883,71388165,84759477,87135457,81261114,73516838,60768187,60768188,58652955,47261144,37351680,28813001,21545028,21545026,28812992,37351592,37351609,47261058,47261275,58652891,48390495,38487335,38487336,48390497,59773584,71190796,59157739,58652944,58652943,53145697,53145696,47261115,47261116,51363382,51363351,51363350,58469085,71190869,84759507,98686907,268975458,71388082,71388081,58652985,268664362,60768153,49365575,49365574,60768152,70972363,58256662,46889555,46889554,58256661,58468959,47091067,37195299,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,35174447,35174448,44552093,55398696,58468915,58468916,59773501,59773500,58653015,47261264,37351793,37351794,41177183,47091190,37195412,37195411,47091223,58469096,58652862,55398677,55398676,57840524,57840525,58468952,71190764,58468902,47091013,37195261,37195259,47091005,58468893,47091093,47091092,57840548,57840546,49365931,49365933,49366142,47091056,37351648,37195277,37195276,44552124,35174470,27086082,20187822,20187823,27086088,28673077,37195348,47091134,58469018,58468919,58468920,47091267,37195523,28673202,28673204,28673156,28673141,28673139,37195390,28673112,28673113,37195397,47091199,39436159,30831897,23403570,23403571,30831901,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,15433486,10669498,7046764,4435038,4435037,7046757,10669486,15433463,21425481,28673128,37195437,47091247,47805314,47805315,52091217,41777702,32857136,25150254,25150255,32857142,30406350,23001216,23001214,30406344,32857057,41777639,32857088,32857083,32857084,32856946,25150120 Dl.O(d2) = 19778837,19778838,26582174,29139363,29139364,37700149,47623275,43840544,34568810,26582233,19778877,14167144,14167145,19778888,26582252,26582134,19778817,14167097,9739659,9739658,9739666,14167111,19778843,26582181,34568729,36418412,35362268,27239282,27239284,35362273,44786389,54584882,66844490,80274493,80274538,66844669,54585308,43840562,43840561,54585174,43840385,34568676,26582138,26582137,34568674,34568824,26582243,19778884,14167139,9739685,6404562,4018202,4018201,6404559,254961887,254961885,6404552,4018197,4018198,6404555,9739671,14167120,14905470,14905469,20798682,26582509,27239260,20308931,14574546,268179063,20308946,27239289,35362278,35362494,29504184,29504182,34568389,26582012,26582013,34568391,35362331,35362330,43841095,43839996,34568352,26582146,19778821,19778820,26582142,20309086,14574650,14574652,19778747,26581996,19778875,14167132,14167133,19778876,26582190,26582189,34568375,34568321,26581976,26581977,34568323,43839955,34569005,26582368,26581965,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304494,28526419,37024381,34568500,34568501,43840184,54585042,54585132,43840658,43840657,54585387,66844705,54585732,54585731,66844480,54584866,54584864,66844476,66844529,54584984,54584985,66844522,55450453,256413848,54585052,43840202,34568518,26582072,19778787,19778785,26582068,34568511,43840194,54585046,54585756,54585717,43841047,34569229,34568430,34568431,43840087,54584961,43840088,34568925,34568924,43840693,255476680,66844727,67792534,67792533,256956252,59736318,255535322,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,49367973,48828863,39437327,30833178,30781855,23357111,17088850,12001321,12001320,17088843,255980161,39383777,49311524,58652962,58652992,47261185,47261178,37351712,28813027,28813026,28813081,21545066,21545068,28813083,37351773,47261245,53145694,58653001,47261199,47261201,58653003,71388149,58653037,58653036,58653017,55450096,44600896,43862026,41177200,41177199,47261153,47261154,58652964,47261169,37351702,37351703,47261172,58652980,59976888,48585198,48585197,59976883,71388165,84759477,87135457,81261114,73516838,60768187,60768188,58652955,47261144,37351680,28813001,21545028,21545026,28812992,37351592,37351609,47261058,47261275,58652891,48390495,38487335,38487336,48390497,59773584,71190796,59157739,58652944,58652943,53145697,53145696,47261115,47261116,51363382,51363351,51363350,58469085,71190869,84759507,98686907,268975458,71388082,71388081,58652985,268664362,60768153,49365575,49365574,60768152,70972363,58256662,46889555,46889554,58256661,58468959,47091067,37195299,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,35174447,35174448,44552093,55398696,58468915,58468916,59773501,59773500,58653015,47261264,37351793,37351794,41177183,47091190,37195412,37195411,47091223,58469096,58652862,55398677,55398676,57840524,57840525,58468952,71190764,58468902,47091013,37195261,37195259,47091005,58468893,47091093,47091092,57840548,57840546,49365931,49365933,49366142,47091056,37351648,37195277,37195276,44552124,35174470,27086082,20187822,20187823,27086088,28673077,37195348,47091134,58469018,58468919,58468920,47091267,37195523,28673202,28673204,28673156,28673141,28673139,37195390,28673112,28673113,37195397,47091199,39436159,30831897,23403570,23403571,30831901,30831603,30831600,39435833,41777708,41777707,38995621,38995614,38995612,37881444,37881443,47805197,57840544,49365926,49365925,58468996,47091099,37195322,37195270,37195272,36617993,28144155,28144156,36617999,36618059,36618058,36618066,41777556,41777557,52091113,46889571,37195537,28673216,21425527,15433486,10669498,7046764,4435038,4435037,7046757,10669486,15433463,21425481,28673128,37195437,47091247,47805314,47805315,52091217,41777702,32857136,25150254,25150255,32857142,30406350,23001216,23001214,30406344,32857057,41777639,32857088,32857083,32857084,32856946,25150120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050233, s2 = 14005200, dlinesl.size( ) = 2 s1 = 11050233, s2 = 14005200, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11050233, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 14005199, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13295844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050281, s2 = 11193506, int(edited[s2]) = 0 s1 = 11050281, s2 = 11193506, d1 = 6, d2 = 5 Dl.O(d1) = 254962577,6409060,254680679,4020588,2409206,2409207,4020592,6408758,9746466,14177426,10041932,6599250,4134354,2473182,1429639,1429640,2473183,4134356,6599254,10041940,14593748,20334805,26598471,22799669,16582727,11562991,7695695,4870318,4870319,7695698,11562997,16582739,20280725,20280724,20282446,254521896,33337310,33337309,42317689,38755540,30172806,22784095,22784094,30172803,33208362,29950823,29950824,28777682,21514969,21514968,15821656,10964520,10964522,15821662,19785732,19785734,15057064,15057063,10382778,6842272,6842271,8748369,8748367,12863838,18140535,24584507,32170387,40949911,43178331,259759983,256590062 Dl.O(d2) = 254629488,19274020,268714576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050281, s2 = 11193506, dlinesl.size( ) = 8 s1 = 11050345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050345, s2 = 10423842, int(edited[s2]) = 0 s1 = 11050345, s2 = 10423842, d1 = 0, d2 = 0 Dl.O(d1) = 26619840,34608078,43878826,54621189,66878918,66878917,77772279,64589519,55732461,55732462,68130034,81619519,81619345,68129821,66878915,54621083,54621084,66878911,80308426,257843146,92587762,258448541,53260599,53260598,65250176,78540271,77287423,77287424,91207498,98699150,91207531,77287452,64138520,64138521,66879013,66879058,80308514,80308513,77772277,77772276,80308434,66878920,54621090,43878732,43878733,54621092,66878922 Dl.O(d2) = 26619840,34608078,43878826,54621189,66878918,66878917,77772279,64589519,55732461,55732462,68130034,81619519,81619345,68129821,66878915,54621083,54621084,66878911,80308426,257843146,92587762,258448541,53260599,53260598,65250176,78540271,77287423,77287424,91207498,98699150,91207531,77287452,64138520,64138521,66879013,66879058,80308514,80308513,77772277,77772276,80308434,66878920,54621090,43878732,43878733,54621092,66878922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050345, s2 = 10423842, dlinesl.size( ) = 2 s1 = 11050345, s2 = 10423842, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11050345, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10423841, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11050567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050567, s2 = 11346484, int(edited[s2]) = 0 s1 = 11050567, s2 = 11346484, d1 = 0, d2 = 4 Dl.O(d1) = 26687332 Dl.O(d2) = 80390579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050567, s2 = 11346484, dlinesl.size( ) = 14 s1 = 11050603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15556620, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14497251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050875, s2 = 11249008, int(edited[s2]) = 0 s1 = 11050875, s2 = 11249008, d1 = 13, d2 = 11 Dl.O(d1) = 20030059,14346962,11410990,7686018,7371534,7371530,5984319,4656833,4656832,7371577,11114400,8624703,5607746,5607747,7747273,7589229,4800518,2893484,2893485,4800522,4815477,2901972,2901973,4799422,2892845,2892844,4799419,2952286,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2935439,1702360,1702358,2935436,4871264,7696908,11431657,7600140,7583513,4797838,4797837,7585397,7601900,4809034,4809033,7601868,4810440,4810439,4907370,7748752,11608667,7728465,4892114,4892112,7496859,4739031,4739030,267976247,9914394,6515524,4082499,2442749,1412544,1412543,2442746,4082494,4801145,7590224,254918563,9144742,11553031,11427318,11427317,16411562,254517554,16405469,11441875,7608489,7608488,7608828,9704490,6383198 Dl.O(d2) = 438381,438378,441990,779200,267781439,26235048,255099394,46830122,38001746,29438744,22105581,22105580,29438743,22660495,22660494,22660497,30035530,22660531,16466563,16466564,22660532,30035568,257550337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050875, s2 = 11249008, dlinesl.size( ) = 14 s1 = 13296856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13296856, s2 = 6822570, int(edited[s2]) = 0 s1 = 13296856, s2 = 6822570, d1 = 91, d2 = 106 Dl.O(d1) = 17333004,12207803,8239393,8239397,12207810,17333013,267841442,254510748,29496505,31354863,29494709,22155705,16035004,16035005,17128365,17128366,23400557,28510323,26947016,20061994,14377807,14377812,15322071,20063696,20040638,14366240,14366238,15491398,10712637,10712635,15491389,15983892,19510805,26225596,29422265,30058212,22681423,22681422,26950904,20066310,20066312,21167560,21167563,25233188,21783304,21605019,21605016,15985378,15985374,22092844,23400692,17128453,12037482,8092655,5184769,3163189,1851687,1851686,3163187,5184765,254564256,17128408,23400615,26900127,29133870,22094536 Dl.O(d2) = 155564809,258873960,115791114,257060084,61387657,49907291,39886658,39886657,49907290,59609905,49907242,255169614,39886660,31207685,23721117,23721116,31207682,255169612,46391178,46391177,48057131,48057130,49191848,60592130,59317339,47924359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13296856, s2 = 6822570, dlinesl.size( ) = 12 s1 = 13296890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050969, s2 = 11053182, int(edited[s2]) = 0 s1 = 11050969, s2 = 11053182, d1 = 26, d2 = 2 Dl.O(d1) = 26944679,270135271,261550261,273958960,273518049,262573036,262573034,205987224,211069158,215222497,264419528,212871881,273896347,195498398,187481183,178268337,261064882,156235309,261617436 Dl.O(d2) = 116543219,102446568,88444988,256823864,50524573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050969, s2 = 11053182, dlinesl.size( ) = 18 s1 = 14505503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14505503, s2 = 921937, int(edited[s2]) = 0 s1 = 14505503, s2 = 921937, d1 = 6, d2 = 3 Dl.O(d1) = 31808229 Dl.O(d2) = 23400991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14505503, s2 = 921937, dlinesl.size( ) = 14 s1 = 11051163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051163, s2 = 11416136, int(edited[s2]) = 0 s1 = 11051163, s2 = 11416136, d1 = 12, d2 = 15 Dl.O(d1) = 22444129,29811043,38383260,48293918,50841166,62424908 Dl.O(d2) = 84459841,259285989,112351437,272175771,261885115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051163, s2 = 11416136, dlinesl.size( ) = 2 s1 = 11051163, s2 = 11416136, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11051163, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 2085458, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13297484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13297484, s2 = 15901658, int(edited[s2]) = 0 s1 = 13297484, s2 = 15901658, d1 = 10, d2 = 16 Dl.O(d1) = 27034268,20141439 Dl.O(d2) = 256136243,42300886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13297484, s2 = 15901658, dlinesl.size( ) = 2 s1 = 13297484, s2 = 15901658, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13297484, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 15901657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11051293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051293, s2 = 10998564, int(edited[s2]) = 0 s1 = 11051293, s2 = 10998564, d1 = 15, d2 = 5 Dl.O(d1) = 21292599,21292600,28513343,37012364,38336412,34083226,34083227,37012426,37012425,35046354,26965759,26965760,35046357,30452734,23044480,23044482,30452740,26956845,26956848,35036835,29482611,22144552,22144554,29482615,38045969,46891331,46891332,39803593,39803594,257596005,60358696,60358697,50106601,40086037,39235589,30637615,23214587,16942644,11857754,7924744,7924745,11857757,16942648,23214595,30637627,30671896,23255923,23255922,30671895,39268065,49194247,49162309,49162310,46754107,46754108,39159727,39159728,30671901,23255925,16992587,11906910,7964037,254817949,16992589,23255928,254951296,16942352,23214232,30637229,38357782,48268406,59655121,65102233,71554100,60562263,60562264,60329268,48931103,39007439,30418192,30418191,39007437,47650695,37728862,29360830,22030254,15929072,11052231,7327780,4628663,2788275,1617662,1617664,2788281,4628670,7327798,11052261,15929118,15929117,19353328,19353330,26030645,30418061,28842885,21571463,21571461,28842880,30418074,23013060,16773368,11727013,7828962,4969443,4969442,255127301,23013037,30418032,255167262,27040901,20147816,14452868,254589340,15287388,15277948,15274284,10540857,6951633,6951634,10540859,15274289,12057348,12057349,9255154,6061389,6061391,5199576,3792199,2271584,2271586,3792187,6060958,9254389,10570242,10570248,9248148,9248147,13515399,18951969,254596100,15269306,11823862,11823863,10554498,6961161,6961162,9265004,13519823,12055522,12055523,10573900,6974599,6974600,6058389,3790732,3790736,6058403,9250565,13518498,18955022,18947045,13510302,9244156,6054444,6054443,6054450,9244163,9244181,9244178,13510333,14450297,14450298,20144857,18956795,18956794,16191245,11255005,7471428,7471427,11255004,14447413,9939240,9939239,11314795,11314796,11314213,10730231,9367872,6136127,3838958,3838962,2299941,2299937,3838986,6136203,9368028,13679846,15146620,15464694,15464695,17406717,17406715,21465583,23731037,28710282,28710284,21500236,20987124,20321334,20321333,27254579,255675509,18997566,25610428,33375281,42364132,52763674,64678639,77868611,65001773,64678628,64678627,76493797,76150600,258178902,37409723,255891535,16060330,11151551,7396488,4672639,4672637,7396479,5582741,5582738,8592003,12655186,11151368,7745227,4904791,4904792,7745238,11151470,11151468,11314621,7512688,4749129,2862160,1661140,945132,533069,533068,945122,1661102,2862080,4748998,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,9113873,13339095,10930739,10652131,10652132,15410659,18738340,18738341,24569089,18128487,18128489,24569092,31029810,255653832,42450183,52854398,48184513,254297400,53625069,43123982,34048259,34048258,41373230,32524029,32524030,41373231,51598330,63322191,64166994,64166995,77315095,91234308,105455643,119693558,133567857,146826095,159200574,155885361,143339258,130004956,116095661,102038898,88054462,258270360 Dl.O(d2) = 50172773,40147487,31463965,23968122,23968121,30574685,255537076,11823837,7901735,7901733,8103603,10558869,6964026,4375186,3789964,2270455,1316848,1316845,2270448,1316920,1316921,2270539,3322010,3322004,3322006,5403218,8372095,5403256,5403254,6969928,6969929,6057963,3790542,3790541,6057956,9249903,12402880,12402881,12402894,12250258,12250259,17384179,22375762,23707286,17384194,12250268,8273465,8273466,267881254,23707288,23916868,18968605,18968606,17574765,12402941,12402939,17574759,21804367,21804368,21935558,19076165,13618923,9325450,6108614,6108615,9325451,13618925,19076166,25702455,33475741,31061550,23581499,17269415,255188730,19821700,14198726,14198727,17266428,17267363,12637369,8580252,6373118,6373117,9688883,14086035,14229033,9781681,6431218,6431220,7744130,7744132,11625894,8578191,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,8859244,10464228,7951323,7951322,8859048,8859047,13011823,18330209,24821696,23172533,16908742,11833365,11833364,14197745,14197746,19820443,254367072,10337494,10337493,10337497,15007499,20912652,28085831,31621616,40310068,50336039,61819249,71653263,254871140,47549037,37642807,37287083,28752930,21493380,15487338,15487342,19229722,13737488,9411342,9411344,13737493,17742913,19228048,13735983,11586731,7712448,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12589622,12589623,13738372,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301263,12301265,17450524,19227629,13735646,9410032,9410035,12554324,17743093,17789302,12590994,12590993,17789301,17142329,17142330,23418522,30848807,31671820,30563272,30563271,38490680,29930126,29930127,28830207,21559331,15538454,10746410,7100012,4470349,4470351,254106886,15538485,254276130,254866502,3451654,5567632,8571675,12625744,17743064,12554301,12554300,17743062,14124946,9717685,6392855,6392857,4671022,4671021,7393660,8575558,8575557,8575043,8575042,12629708,17361573,12231792,12231793,12232414,12232413,17362443,17362603,12232595,12232594,12630451,17836516,17704467,12522882,12522881,12565969,8521013,8521012,12565965,17362471,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,5538743,5538748,7430584,5538739,5538741,8540667,12565854,12550988,12550989,12252945,12252944,17362365,12232348,12232347,12280832,8293937,8259862,8259863,8259719,5328821,5328819,8259712,9234018,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,3401919,3401917,5514861,8516649,12561275,17752885,24113675,254415872,31605657,254610982,26215019,24118606,24118607,31624059,40312485,50338351,61821543,74613395,86030721,72433011,59697371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051293, s2 = 10998564, dlinesl.size( ) = 8 s1 = 11051339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051339, s2 = 11005010, int(edited[s2]) = 0 s1 = 11051339, s2 = 11005010, d1 = 13, d2 = 49 Dl.O(d1) = 20158206,14461294,9949303,6538995,4096885,2450954,2450957,4096905 Dl.O(d2) = 7916950,7916952,11845459,268012556,10811383,7144153,4498465,4498463,7144149,6497193,4071205,2436122,1408777,1408780,2436033,2436036,4065527,6488217,7976622,10885634,14389970,9895870,6503273,4075121,2726158,2726159,4535273,7198643,10886450,15723053,10895494,10895493,12629224,8574601,269456012,269006963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051339, s2 = 11005010, dlinesl.size( ) = 14 s1 = 11051437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051437, s2 = 11089194, int(edited[s2]) = 0 s1 = 11051437, s2 = 11089194, d1 = 13, d2 = 7 Dl.O(d1) = 20185324,14482195,255166340,2453984,2453983,4102494,5397557,4682309,4682315,7410203,10535339,10535340,12396812,12398936,8379286,7409669,5407570,3324368,3324364,5022543,3040173,3040170,4681989,2820977,2820976,2820995,1953737,1116167,1116168,1953688,1116141,1116142,1117613,1117614,1956552,3321488,3321487,5402288,8370622,10311829,6782723,4251827,2541839,2541837,4251818,5409739,8383068,7679859,7679858,11543504,11544170,7680285,4859663,4859662,7680282,11544165,12639313,14448970,15060819,20970926,254828594,23716899,31204216,23721302,23721301,23158883,23158884,30575959,23769396,254119724,8380636,8380640,8279251,8279250,10918566,7221125,4549776,2734937,2734938,4549777,7221126,10918568,257100445 Dl.O(d2) = 254875150,8603251,5590628,3468370,2056661,2056657,3468463,5590794,8603565,8602833,5590376,3468241,2056544,1179815,1179814,2056539,3468226,5590339,8602708,12667620,17884168,17884220,17884219,24262063,25769918,33559292,31471234,23975157,17627112,255273822,26626393,26151603,26151602,22108410,15996914,11105295,7365073,7365072,255074605,22108399,29441897,25133378,18579952,13203830,9001119,5876447,3669125,3669124,5876440,9001101,13203781,18579863,25133253,32838442,32838379,32838377,33992805,32296878,24685737,18219036,18219035,21118360,15171529,15171526,21118346,28328775,25655796,25655795,29171383,28910045,24688083,24688079,23975058,23975064,31471127,33999203,33999202,254931856,33586180,42467831,52871460,59209864,47813592,39022642,30432963,23026757,16784762,11735833,7835284,4973530,3003961,3003960,4973528,7835280,11735827,13903638,13903637,19431664,23026725,30432928,39022609,37207596,28683736,21434140,255206301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051437, s2 = 11089194, dlinesl.size( ) = 14 s1 = 13297796, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15059782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6732283, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11051653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051653, s2 = 11121978, int(edited[s2]) = 0 s1 = 11051653, s2 = 11121978, d1 = 2, d2 = 6 Dl.O(d1) = 255108002 Dl.O(d2) = 256231441,255496091,254795707,2935873,254169927,967814,1702571,2935872,4872004,7697936,11565560,11840345,9874522,9874520,14368364,11333806,11333805,16290639,16290873,14388034,9893765,6501591,4073966,4073967,6501593,254748975,7207029,9890874,7207017,7207019,10896737,9883439,6493679,4068926,2434770,1408055,1408058,2434757,4068906,4499303,7145379,9873675,6486294,6486291,9873662,9897853,9898571,9898573,6548970,6548971,5076240,4062080,4062083,6482484,9868345,12360051,8351234,8351233,9877683,9877684,10812973,14385165,14385164,17967608,17967607,14387333,14387334,10811268,10811269,15625106,21661272,17452050,17452049,20055156,15626313,10812626,7145315,7145317,10812629,11568378,7699934,6497425,6497424,6498237,6498235,9877903,6493301,6493302,4068741,4068739,4532696,2724676,1578840,897639,506445,506443,897630,506465,506467,897714,1578984,2724942,4533124,7195434,10882586,10883866,15720510,15627661,10895767,7206260,4540148,4540152,7206271,10895786,10895645,10895644,15731950,11565083,10889068,9890098,6498727,6498728,9889388,14383308,9888827,6497644,6497643,6498709,9890077,8389357,5413625,267910967,8389345,12412625,17585406,20055974,14370479,14369141,9875076,6487285,4064955,4064953,254686439,9849199,6468888,4053318,4053317,6468885,9849194,6478820,6478819,6490637,4067006,2433683,2433684,2454228,2454225,2433610,2433608,4066863,4536826,4498888,2703305,254338667,254742703,15625757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051653, s2 = 11121978, dlinesl.size( ) = 2 s1 = 11051653, s2 = 11121978, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11051653, Dl.E( ) = 16, 2.6e-05 seconds used appending s1 = 13298628, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15346810, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11052011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052011, s2 = 11298326, int(edited[s2]) = 0 s1 = 11052011, s2 = 11298326, d1 = 0, d2 = 22 Dl.O(d1) = 27260055,256766291 Dl.O(d2) = 260420218,259182838,68112633,68112634,259182841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052011, s2 = 11298326, dlinesl.size( ) = 8 s1 = 11052091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052155, s2 = 11019140, int(edited[s2]) = 0 s1 = 11052155, s2 = 11019140, d1 = 34, d2 = 32 Dl.O(d1) = 27430683,256774945,269674665,82136888,96164330,261578883,162880051,173841849 Dl.O(d2) = 263695510,263449541,199458460,193221072,262060050,164561597,152723458,140028663,126675505,112818515,98827447,98827446,84900961,84900962,83962098,70435855,57741415,57741416,70435857,58594623,47203905,255961190,21503567,19455582,13923059,13923058,19455575,17305861,12182909,12182910,17305867,23620356,30761893,39363100,49166758,39240698,30643720,30643719,39240697,49166756,50191177,48294598,42299725,42299724,38384666,38384667,30682392,30682391,28159034,28159035,28913051,22444720,16275723,11317376,7514633,7514632,11317374,16275719,22444713,29811874,38384230,38384694,48294976,47329638,38384359,29811980,22444772,22444773,29811985,37452342,28912976,28912974,37452337,38384446,43206181,43206180,48294717,49429214,48294970,48294969,59681162,257587440,47358697,37452321,255975283,17034612,23294263,30710849,39308583,49235303,254889656,24776248,18296346,18296345,24776245,28358598,255229106,15799966,15799967,21874716,21874717,16899140,11826414,7903569,7903570,11826421,16899149,15972766,11087408,11087410,15972751,15972750,22078516,29409128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052155, s2 = 11019140, dlinesl.size( ) = 30 s1 = 13381205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11052305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052305, s2 = 11579472, int(edited[s2]) = 0 s1 = 11052305, s2 = 11579472, d1 = 21, d2 = 25 Dl.O(d1) = 20800182,14906683,256804417,273081131 Dl.O(d2) = 205786761,210897753,264935787,266305099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052305, s2 = 11579472, dlinesl.size( ) = 20 s1 = 11052319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052319, s2 = 11343012, int(edited[s2]) = 0 s1 = 11052319, s2 = 11343012, d1 = 0, d2 = 13 Dl.O(d1) = 20803767 Dl.O(d2) = 97690416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052319, s2 = 11343012, dlinesl.size( ) = 16 s1 = 11052355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052355, s2 = 11162538, int(edited[s2]) = 0 s1 = 11052355, s2 = 11162538, d1 = 1, d2 = 52 Dl.O(d1) = 27974957 Dl.O(d2) = 259011264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052355, s2 = 11162538, dlinesl.size( ) = 12 s1 = 14187122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14187122, s2 = 10549321, int(edited[s2]) = 0 s1 = 14187122, s2 = 10549321, d1 = 19, d2 = 17 Dl.O(d1) = 164192199,165424840,165424836,153643750,140976462,261716265,165424834,176107071,185571509,184333714,184333713,174716885,261601488,139334924,125983508,112146877,98184461,84288573,70736731,58022168,256271952 Dl.O(d2) = 258170853,86412691,100368685,261758399,141618692,141618691,128268139,114391954,100368684,100368685,114391956,128268140,141618692,262271543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14187122, s2 = 10549321, dlinesl.size( ) = 2 s1 = 14187122, s2 = 10549321, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14187122, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 11052563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052563, s2 = 14109040, int(edited[s2]) = 0 s1 = 11052563, s2 = 14109040, d1 = 24, d2 = 23 Dl.O(d1) = 20853343,14952592,10286543,6761675,4237395,3710060,2221739,2221737,254641827,255248099,25254472,32977355,32977356 Dl.O(d2) = 32977357,257769583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052563, s2 = 14109040, dlinesl.size( ) = 26 s1 = 11052669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11052857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052857, s2 = 11209116, int(edited[s2]) = 0 s1 = 11052857, s2 = 11209116, d1 = 26, d2 = 24 Dl.O(d1) = 23440215,23440217,30868470,31400717,31204246,255150964,17580255,12408253,8388039,8388040,8271664,5337468,3326729,3326731,5411839,8367003,5400067,3320292,1953118,1115862,1115863,1953125,3320313,5400128,8367123,11748439,12261371,8280540,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409241,8371626,8371624,12388511,12382661,8367469,8367470,12382668,17553114,17567861,17047064,12380882,12380880,17551259,17149188,12052667,8103316,5408578,5408577,8380957,12401174,17573011,12403050,12403049,10018048,10018047,12666571,12666570,17882871,21804758,15743989,10903893,10903892,15743983,16800429,11747216,11747217,8367409,8367408,8367420,5400298,5400297,8367416,12382565,17397930,12260633,8280089,5342272,3283530,1931129,1931124,3283510,5342236,8280015,12260507,14449431,15303762,21246055,21246054,17381336,17381340,17550870,22877633,16649302,16649301,17848032,12639277,12639275,12639539,12639540,17396874,12400753,8380648,8380649,12378126,17548052,17548784,17548785,12394392,8376099,5405672,5405673,5405708,5405707,8279737,5342085,3283436,1931090,1931092,1931065,1931063,1103211,1103212,1103145,619036,343989,343991,619041,1103170,1549983,1476981,1476979,2564883,2675748,4454116 Dl.O(d2) = 258687953,64577108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052857, s2 = 11209116, dlinesl.size( ) = 26 s1 = 15859281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052943, s2 = 11139672, int(edited[s2]) = 0 s1 = 11052943, s2 = 11139672, d1 = 15, d2 = 11 Dl.O(d1) = 255005395,10346657,10286780,254481393,2533599,1460012,826464,826462,466646,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,6799765,6811826,8596043,12660350,10375209,10375210,10283206,6758833,6758834,6822848,10358844,6865390,4308739,4308738,6835342,10365540,6828386,6828385,10365538 Dl.O(d2) = 57820038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052943, s2 = 11139672, dlinesl.size( ) = 20 s1 = 11052947, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11053035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053035, s2 = 12242104, int(edited[s2]) = 0 s1 = 11053035, s2 = 12242104, d1 = 4, d2 = 5 Dl.O(d1) = 20942615 Dl.O(d2) = 20942617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053035, s2 = 12242104, dlinesl.size( ) = 14 s1 = 11053075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053075, s2 = 11214544, int(edited[s2]) = 0 s1 = 11053075, s2 = 11214544, d1 = 3, d2 = 0 Dl.O(d1) = 6830313,255007881,20949124 Dl.O(d2) = 31912452,40627136,50685257,62204733,75027633,88678806,102688790,116782013,102688879,88678878,75027682,62204758,62204757,75027677,88678871,102688787,271889459,130607104,143914723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053075, s2 = 11214544, dlinesl.size( ) = 2 s1 = 11053075, s2 = 11214544, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11053075, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11053207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053207, s2 = 15093821, int(edited[s2]) = 0 s1 = 11053207, s2 = 15093821, d1 = 14, d2 = 20 Dl.O(d1) = 20975973,20975974 Dl.O(d2) = 254220301,1478783,2223567,2223568,3713272,5938538,6785161,267909891,5374502,5373941,3304475,3304474,5373938,7671606,7671605,6823854,4280891,4280890,4243445,2537158,1461982,1461981,2537153,4243430,2559534,1474170,1474172,2559523,2559524,4255881,2544224,1465762,829386,829388,1465768,2544238,4255912,6788466,4255838,2696487,2533997,2533998,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,5931097,3709606,2221471,1288668,735682,735683,1288669,2221473,3709609,5932859,9072506,9064948,8325882,7669226,7669225,10318456,10318457,10359925,6823703,4282741,2560527,2560526,4282738,254616295,3465964,2055293,2055295,3180246,2055644,1179270,1179274,2055653,3466684,5587841,8599474,12334081,8332310,5377784,5377785,267840187,3176363,1860753,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332804,597053,1061695,1061693,1062169,1861349,3179894,5212075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053207, s2 = 15093821, dlinesl.size( ) = 22 s1 = 11053215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053215, s2 = 10526447, int(edited[s2]) = 0 s1 = 11053215, s2 = 10526447, d1 = 7, d2 = 8 Dl.O(d1) = 256286461 Dl.O(d2) = 4896402,7733993,11614511,16646548,22786232,17118196,12029570,8087315,5181589,5181590,8087321,12029587,14089519,14089517,15478846,21482267,23395240,19657459,19657458,23388613,30817943,25369054,21708731,15666877,10845694,10845693,15666874,17118787,23390693,30819574,39424401,49354107,258218263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053215, s2 = 10526447, dlinesl.size( ) = 2 s1 = 11053215, s2 = 10526447, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11053215, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 14187177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053503, s2 = 13296894, int(edited[s2]) = 0 s1 = 11053503, s2 = 13296894, d1 = 7, d2 = 0 Dl.O(d1) = 21056596,15124964,255377785,28257496,256293853,16235568,16235551 Dl.O(d2) = 10432217,255377787,20046286,20046287,16236510,16236509,22396857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053503, s2 = 13296894, dlinesl.size( ) = 8 s1 = 937045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053691, s2 = 10353702, int(edited[s2]) = 0 s1 = 11053691, s2 = 10353702, d1 = 113, d2 = 3 Dl.O(d1) = 256311014,18163147,12880983,12880982,255021824,23711382,31199576,33239346,42200414,52560464,47857362,37937456,29371047,22040127,22040128,29371049,37937459,47857366,39218165,30621038,30621039,29603842,22254091,22254090,29603840,38170769,30621049,30621048,33239355,25489756,18885862,13458477,9203517,6025521,3769486,2258479,2258478,3769482,6025517,9203511,13458471,18885852,25489749,23199400,255968773,39218178,39114125,39114124,39218166,30621042,23199383,268100161,11849321,16930363,16930279,16930278,255968755,39218088,49144585,39218158,39218159,30621058,23199412,16930382,16930383,23199376,16930356,16930357,18885853,25489751,30621056,255968775,23199407,18885846,13458468,13458469,18885849,25489746,30621062,256674830,11139315 Dl.O(d2) = 214650853,210382237,205159644,198854210,263409992,261517604,135150354,259736542,13824446,254462080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053691, s2 = 10353702, dlinesl.size( ) = 80 s1 = 11053829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053829, s2 = 10601515, int(edited[s2]) = 0 s1 = 11053829, s2 = 10601515, d1 = 0, d2 = 8 Dl.O(d1) = 21138082,21138084,28351862,255596804,21138483,18327733,13010027,13010026,18327725,18327707,18327683,18327686,18327746,23784778,31270047,39944674,33591006,25795060,19149599,19149598,25795055,33590999,42614956,257644089,51097868,52331573,41992013,41992014,47987524,256534130 Dl.O(d2) = 17922505,24306680,31823428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053829, s2 = 10601515, dlinesl.size( ) = 14 s1 = 11821362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11054145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054145, s2 = 11382818, int(edited[s2]) = 0 s1 = 11054145, s2 = 11382818, d1 = 35, d2 = 36 Dl.O(d1) = 255597882,25168449,18610366,18610365,23839600,19409835,19409833,26098898,19409912,19409913,23946193,17600931,17600932,23946198,23842406,17501847,12340914,8337390,8337213,5381218,5381173,3309068,3309064,5381169,267936547,19275526,25938381,256679575,53227402,65215633,78504165,73445304,60697415,60697416,61791572,50311064,50311063,61791569,270393211,256305696,58490900,47112882,47112881,42313000,42312994,42312995,52700090,258416695,260206448,78654547,65351274,269039136,42884623,40978237,32198200,24609747,18161024,12878997,12878996,18161022,24609743,32198196,38664965,256648814,12490693,8459996,8459997,12490695,8959298,5847910,3649386,3649385,256613891 Dl.O(d2) = 272972687,154770957,142138755 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15909722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11054177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054177, s2 = 11116164, int(edited[s2]) = 0 s1 = 11054177, s2 = 11116164, d1 = 5, d2 = 11 Dl.O(d1) = 21208631 Dl.O(d2) = 254494129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054177, s2 = 11116164, dlinesl.size( ) = 14 s1 = 11054183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054183, s2 = 11079344, int(edited[s2]) = 0 s1 = 11054183, s2 = 11079344, d1 = 13, d2 = 17 Dl.O(d1) = 21210474,21210475,28434763 Dl.O(d2) = 47954567,257506105,72079626,85666247,98240054,84332900,84332901,84554702,70991644,257412658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054183, s2 = 11079344, dlinesl.size( ) = 18 s1 = 11054211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054211, s2 = 11244968, int(edited[s2]) = 0 s1 = 11054211, s2 = 11244968, d1 = 13, d2 = 10 Dl.O(d1) = 21217041,15248533,255387969,28442854,30152618,268648077,72790250,258652232,114368546,260500354,114368548,100343689,100343685,86386276,86386277,100343686,114368544,260500352,261079424,114368545,114368546,260500354,114368548,100343689,100343685 Dl.O(d2) = 263180365,263480926,126973135,113114501,99124233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054211, s2 = 11244968, dlinesl.size( ) = 14 s1 = 11054221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054221, s2 = 10977872, int(edited[s2]) = 0 s1 = 11054221, s2 = 10977872, d1 = 13, d2 = 8 Dl.O(d1) = 21219564,21219567,25365085,25365778,33099932,32788642,25090861,18545205,18545204,25090858,31520389,257083051,43190002,34104292,34104293,43190004,53701719,64247321,52391691,42047677,33099313,33099312,42047670,46408175,57758945,64247454,52391861,257781361,64246967,52391192,42047136,42047137,52391193,53884035,46495237,36628672,28154781,20975911,20975912,28154786,36628172,46494665,42718601,33688532,33688531,42718598,48126875,38216757,29650476,22298575,16153330,11222503,11222502,16153329,13463614,9207056,9207057,13463616,11222492,11222494,16153311,22298548,255405104,22770544,22770543,30158685,38741229,256083316 Dl.O(d2) = 254290960,3270158,5321338,3619428,2161207,1923227,1098706,1098702,1737754,1737757,1282841,1282839,1282841,1282840,1279740,731894,731895,1279706,2202870,254640453,254260087,1059328,270361047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054221, s2 = 10977872, dlinesl.size( ) = 14 s1 = 11054263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16197859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16197859, s2 = 11054264, int(edited[s2]) = 0 s1 = 16197859, s2 = 11054264, d1 = 1, d2 = 18 Dl.O(d1) = 21294892 Dl.O(d2) = 25088590,28304779,28304780,23475366,23475367,21915465,15832483,15832482,14571195,11242444,7462364,4715657,4715658,7462365,11242447,16175069,16302860,11343460,11343459,8982068,8982070,11851990,8209144,8209143,12177527,17299253,12177360,8981780,8981782,13175815,12177311,12177313,15041363,15041364,16336025,11366114,11366113,12177387,17299301,23612297,25087734,25087733,32785600,32787708,25089943,25089942,28503375,33333416,25573826,25088958,23467454,23369628,17101136,12015495,12015496,17101138,23369630,30795843,24288508,24288507,31802884,24288510,17907063,12685934,12685933,17907061,21101734,15157537,15157542,21101743,28312102,21192421,21192420,28414156,36807587,28310730,28310729,36807582,46691403,58064249,70781900,84340615,98247769,84947867,71371715,71371716,72633868,79370709,93507283,98771750,97804780,83945484,70418608,57723636,46373451,255568866,14979537,10311801,6782700,4251815,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259692,17396709,23720577,31207265,28136788,20958741,15049659,10376225,10376222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16197859, s2 = 11054264, dlinesl.size( ) = 2 s1 = 16197859, s2 = 11054264, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16197859, Dl.E( ) = 20, 1.69e-05 seconds used appending s1 = 11054311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11054389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14860312, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11054633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054633, s2 = 4591459, int(edited[s2]) = 0 s1 = 11054633, s2 = 4591459, d1 = 40, d2 = 34 Dl.O(d1) = 257432205 Dl.O(d2) = 184692129,193059962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054633, s2 = 4591459, dlinesl.size( ) = 38 s1 = 11054699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054699, s2 = 11124138, int(edited[s2]) = 0 s1 = 11054699, s2 = 11124138, d1 = 11, d2 = 2 Dl.O(d1) = 27088948,254984222,9967797,6551046,4104012,4104011,6551044,9967793,9978750,12414364,9979523,6559225,6559224,9979521,14502767,12414005,254596941 Dl.O(d2) = 256022420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054699, s2 = 11124138, dlinesl.size( ) = 14 s1 = 14187294, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14187302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14187302, s2 = 7074990, int(edited[s2]) = 0 s1 = 14187302, s2 = 7074990, d1 = 105, d2 = 78 Dl.O(d1) = 4582729,4582728,7266839,10978822,7266854,4582737,2757186,1598369,1598367,2757182,4582731,7266845,10978824,10978832,7266844,7266843,10978829,10978831,15842750,21376164 Dl.O(d2) = 262216295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14187302, s2 = 7074990, dlinesl.size( ) = 8 s1 = 11055255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055255, s2 = 11414118, int(edited[s2]) = 0 s1 = 11055255, s2 = 11414118, d1 = 5, d2 = 1 Dl.O(d1) = 256324471 Dl.O(d2) = 126532502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055255, s2 = 11414118, dlinesl.size( ) = 2 s1 = 11055255, s2 = 11414118, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11055255, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11055417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11055649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11055703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055703, s2 = 11123810, int(edited[s2]) = 0 s1 = 11055703, s2 = 11123810, d1 = 1, d2 = 45 Dl.O(d1) = 21495889 Dl.O(d2) = 47538442,37632612,29082328,21784540,21784538,16254146,16254145,16276249,22419614,16778639,16778642,16906498,16254427,11300829,7502854,5419514,5419515,4742610,2858183,1658766,1658768,1658821,1658860,1658891,2858427,2858471,2858470,4743125,7477656,7477660,7477988,7477985,11263810,7477597,4725875,2847458,2847455,4725890,7477630,8305894,12298032,17446440,22354503,24190984,17821901,17821902,23018514,23018515,23805457,24848257,24848255,23983925,268114673,8431029,5442832,3345984,1967403,1967404,3345991,5442847,8431058,12462214,17638014,23266861,23266860,22421280,16255760,11301799,7503442,4742965,2858388,2858390,4742966,7503447,11301809,16255778,255089575,11263936,16203468,255906395,16254446,16254447,16254914,11301193,11301192,7503198,4742828,4742827,4742995,7503508,7503776,7502930,4742690,4742691,7477656,4725904,4725901,7182228,10863053,15691860,17446497,268254097,28153803,20975196,20975195,28153802,30424431,30424432,36617807,36528410,28062475,23284477,23284478,23983977,23266861,23266860,22421280,16255760,11301799,7503442,7503445,11301805,16255773,22108344,29441823,30424441,30424440,39013297,38358000,255585410,39966904,39966905,39280759,31292159,23806201,17473066,12318899,11730830,11730831,9313678,9313677,12318876,17473025,16256434,11302269,7503716,4743109,2858463,2858464,4743114,7503727,11302292,15216157,15216159,11301446,11301445,16255257,22420775,29785841,256719734,29783351,22420134,16254693,11302226,11302227,13029206,8872082,5784357,3605235,3605236,5784360,8872087,13029216,16256404,16256403,22421917,29786673,38358307,36426116,27967386,27967385,25094158,18547573,254929354,10252225,14910102,19007175,25621484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055703, s2 = 11123810, dlinesl.size( ) = 2 s1 = 11055703, s2 = 11123810, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11055703, Dl.E( ) = 46, 1.69e-05 seconds used appending s1 = 11055707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055707, s2 = 11131046, int(edited[s2]) = 0 s1 = 11055707, s2 = 11131046, d1 = 12, d2 = 9 Dl.O(d1) = 21496038,21496039,22323216,22323215,17572236,17572237,13499565,11748026,8362559,8362557,8362985,8362988,5404011,5404008,8373330,12390626,16800625,23046394,23709279,17883561,17883560,24261089,28459456,27038810,20145911,14451313,9942258,8403040,5422353,3333316,3333314,5275121,5275122,8203951,12171774,12393780,8384470,8384467,8364379,5398626,5398625,8110118,8110116,5400802,3320677,3320675,5400794,3334130,3334132,5423622,8405037,10983227,7902284,7902286,11824580,12385499,17556124,17549846,16801317,14543450,11244824,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250581,12272681,17414100,23738795,17413914,255556241,256147249,259369315,72136955,59406854,59406855,61683527 Dl.O(d2) = 23840994,25768325,19128535,16812415,11756513,7849632,7849634,11756515,11756763,16812761,18844349,13426194,9179647,6008197,6008198,4350646,2605569,1503659,1503656,2605621,4350727,6925606,6924058,6924057,10500591,15222751,255814409,15219623,15219622,16810969,11755547,11755546,255513337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055707, s2 = 11131046, dlinesl.size( ) = 14 s1 = 11055709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055709, s2 = 10997978, int(edited[s2]) = 0 s1 = 11055709, s2 = 10997978, d1 = 10, d2 = 6 Dl.O(d1) = 254183926 Dl.O(d2) = 84896106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055709, s2 = 10997978, dlinesl.size( ) = 8 s1 = 13304666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13304666, s2 = 16190448, int(edited[s2]) = 0 s1 = 13304666, s2 = 16190448, d1 = 21, d2 = 18 Dl.O(d1) = 28972008,21689907,15650335,15650336,21689910,21689898,15650327,15650329,11298339,7501204,4741642,2857639,1658487,1658488,2857641,4741648,7501214,7868764,11784846,16851200,23109629,29782079,22416497,22416498,28789633,21525521,21525520,28789629,37326032,37326037,29782443,28971902,21689818,21689819,28971904,37515290,28971910,28971909 Dl.O(d2) = 9766437,9766438,14206895,18048682,19832082,22139721,19832286,14206964,9766492,9766494,14206967,9766617,9766616,11124816,7378848,7378847,11124813,16022586,14206684,254891800,14207047,14207046,15392297,15392296,12798013,8701157,8701158,5686957,5686958,8735321,12845482,13026308,8870073,8870074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13304666, s2 = 16190448, dlinesl.size( ) = 2 s1 = 13304666, s2 = 16190448, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13304666, Dl.E( ) = 36, 1.81e-05 seconds used appending s1 = 16190447, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11055887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16033207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11055949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055949, s2 = 10387177, int(edited[s2]) = 0 s1 = 11055949, s2 = 10387177, d1 = 17, d2 = 15 Dl.O(d1) = 21548574,15530463,10741044,7096661,7096660,10741042,15530460,21548570,28817672,268923809,35244663,27147222,20237629,20237628,24538525,18105028,12837649,8729761,5683318,5683319,8729765,10260819,10260999,254480209,4225164,6742768,5683341,5683340,8729793,12837698,18105094,24538616,32115972,40889734,51027096,58658974,47267264,37357291,37357289,28817657,28817656,28817663,28817662,28817678,37357319,47267285,58658979,47267271,37357303,37357305,47267273,58658982,71393892,67819873,55478064,55478063,46295365,36442395,36442393,46295361,57639594,70329796,71026050,257432012,46295355,268598081,27983302,256806425,40889723,256066461,24538607,24538612,32115969,40889732,51027095,47267268,37357293,28817660,21548566,15530456,15530457,21548568,28817667,37357298,46943901,46943894,37064774,37064773,46943891,58310379,71026040,81286595,67819870,67819869,57639590,46295358,46295357,57639589,70329790,77413867,77413866,71026046,58310385 Dl.O(d2) = 24755278,256336335,47267284,58658991,71393899,84968543,98894167,112881971,126734171,140082455,152773347,164607880,175367534,184915538,193253829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055949, s2 = 10387177, dlinesl.size( ) = 8 s1 = 13305004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13305004, s2 = 14238136, int(edited[s2]) = 0 s1 = 13305004, s2 = 14238136, d1 = 5, d2 = 7 Dl.O(d1) = 46908035,43391520,34291883,26415782,26415781,34291881,39179373,49108955,42448920,36828923,28332737,28332736,36828920,39324310,39324311,35126817,27039767,255588882,30581302,23163769,23163767,30581301,28840874,21569599,15547286,15547285,21569598 Dl.O(d2) = 47290039,268110304,67718166,267986866,27069954,27069953,35155826,44532031,47957715,58063100,46690209,46690210,58063102,49078772,48331874,48331873,41745183,32824270,25120001,18568570,18568571,21080401,15142134,15142135,21080405,28286417,36783201,35155838,27069960,20174950,14475140,14475139,20174948,27069955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13305004, s2 = 14238136, dlinesl.size( ) = 2 s1 = 13305004, s2 = 14238136, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13305004, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14238135, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11056047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056047, s2 = 11326436, int(edited[s2]) = 0 s1 = 11056047, s2 = 11326436, d1 = 9, d2 = 13 Dl.O(d1) = 256337693 Dl.O(d2) = 259320783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056047, s2 = 11326436, dlinesl.size( ) = 14 s1 = 11822064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056151, s2 = 14056808, int(edited[s2]) = 0 s1 = 11056151, s2 = 14056808, d1 = 4, d2 = 8 Dl.O(d1) = 21596688,15569348,15569349,21596690,21640393,15608624,15608625,21640394,28914726,37454024,47360202,255749806,37409672,32025058,32025059,256225316 Dl.O(d2) = 62497866,60246999,48854302,38935130,38935131,258846238,13504307,255670699,33314824,42295283,50277931,256539551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056151, s2 = 14056808, dlinesl.size( ) = 10 s1 = 14056807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056807, s2 = 11056152, int(edited[s2]) = 0 s1 = 14056807, s2 = 11056152, d1 = 9, d2 = 8 Dl.O(d1) = 256539550,46482732,36616314,36616315,255670698,40201085,258846239,60820251,60820250 Dl.O(d2) = 256225317,20174257,14474608,9959174,255749807,35154904,44531037,49968668,39951918,31276966,23791196,17459579,17459581,23791202,31276971,39951695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056807, s2 = 11056152, dlinesl.size( ) = 14 s1 = 14093497, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14044573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044573, s2 = 13340248, int(edited[s2]) = 0 s1 = 14044573, s2 = 13340248, d1 = 0, d2 = 3 Dl.O(d1) = 23330174 Dl.O(d2) = 41152180,41152181,256329666,36588536,28115745,20938798,15455133,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,28578343,21356341,15379157,10627577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044573, s2 = 13340248, dlinesl.size( ) = 2 s1 = 14044573, s2 = 13340248, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14044573, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11056529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056529, s2 = 11148186, int(edited[s2]) = 0 s1 = 11056529, s2 = 11148186, d1 = 13, d2 = 6 Dl.O(d1) = 256345197,28954969,28954967,256345207,37116506,47002359,58372506,58429287,71088625,58372363,58372362,71080392,71080391,75034862,84651167,71088631,257105350,98516902,258055942,58372410,58372409,70990422,58276064,46910984,37033956,37033957,46910986,46994193,37108973,28600316,21367089,15387495,15387497,21367092,256319453,46994225,58364303,71080478,84642868,84642767,84642768,71080452,258048754,98565591,112558663,259544802,98565550,98565551,112558617,258920636,98565546,84642805,71080413,71080412,257105474,62039150,62039149,74835753,88468898,98233387,84326049,84326050,84651280,98574292,111611191,97692581,258809400 Dl.O(d2) = 84642862,79134905,65780243,53723654,53723653,65780245,65780331,72253962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056529, s2 = 11148186, dlinesl.size( ) = 14 s1 = 11056583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056609, s2 = 11646428, int(edited[s2]) = 0 s1 = 11056609, s2 = 11646428, d1 = 3, d2 = 16 Dl.O(d1) = 21690674 Dl.O(d2) = 10832887,10832888,12141436,254578985,3198773,1872544,1068076,914404,254163991,2771561,267770947,606719,337618,185471,185446,185447,281011,501087,888123,267765909,2788955,4629520,7328639,254840223,7302939,4607419,3227940,1892738,1080153,606682,337597,185460,185462,337605,517295,603674,603043,603044,1073312,1873277,1068555,1068554,1073553,1068382,1068381,606213,337353,185333,101404,55862,55861,101398,185321,337324,606157,1079175,1891153,3225830,5271384,3235597,254182115,1083373,1898062,1898309,1898310,3235956,3198477,3198478,3002422,1743680,1113575,624918,557309,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3228876,3228881,3228894,3228893,254582471,5274749,3228959,3213528,3213529,5257558,7490339,8200164,12143591,11033016,11033017,11723239,8174052,7300575,7300574,4621313,2782801,1614183,918151,517880,290509,160791,88449,88448,160788,290504,517870,918126,1614138,2782717,254520435,11044594,8194260,8194259,255068539,11032432,11032454,10799796,10799799,8152273,8152272,11720657,7822796,4964715,4611284,4611286,4617122,4617123,4617378,5219713,3184089,3184091,5219716,4968008,254554777,8147557,254832325,12188361,8218648,5304825,3255512,3255511,5304823,8152187,12120518,11032755,7311852,4615142,4615143,3446124,3446125,5562149,5219312,3183852,3094376,3094375,5098089,8008314,7826462,4967673,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,4492558,2699081,1563601,1563600,2699077,4492549,7135808,7311287,4614724,4614725,7311267,4614711,254519859,2854173,1656343,1656340,989466,989467,1741054,2995596,4960815,7818701,8455212,7821061,7402391,7402390,7311919,4615202,254519905,2853842,1656118,1656120,2853855,2995787,3242187,3241158,1901806,1901805,2761430,2761429,1656758,942663,531655,298133,165106,90869,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,1086391,1903130,3243026,3243292,5291940,5292075,5292074,8221787,8232447,8229992,254395849,3252020,5280857,4957997,2993378,2993377,3195491,1870511,1067009,599744,334152,334153,599749,1067018,1870528,3195515,3267631,3267632,3226644,1891741,1079527,606323,606321,1079521,1891729,3226629,5272206,5269837,4968472,3000897,1742705,1742703,2773255,1608539,1608540,2773259,3214291,3214655,2772441,1607970,1607972,1916231,1661478,945326,945327,1070741,1070742,1876888,3205151,5247084,4793285,2889409,1677036,954133,537969,301584,166977,166978,301586,537972,954141,1677053,2889438,4793328,7578113,255478827,8178203,12148563,15622213,21657595,28935631,28263552,21061244,15128281,15128282,21061247,17457201,12306753,8312495,8312494,12306752,15995494,11104066,11104067,9255211,6061430,3792447,3792446,6061427,9255207,13523888,18959883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056609, s2 = 11646428, dlinesl.size( ) = 12 s1 = 11056701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056903, s2 = 11489014, int(edited[s2]) = 0 s1 = 11056903, s2 = 11489014, d1 = 6, d2 = 10 Dl.O(d1) = 257475547 Dl.O(d2) = 264316719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056903, s2 = 11489014, dlinesl.size( ) = 20 s1 = 11056933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057037, s2 = 10696119, int(edited[s2]) = 0 s1 = 11057037, s2 = 10696119, d1 = 0, d2 = 20 Dl.O(d1) = 29099536,256898137,47553588 Dl.O(d2) = 153044897,262200189,153044895,263121623,193492642,193006424,184627572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057037, s2 = 10696119, dlinesl.size( ) = 2 s1 = 11057037, s2 = 10696119, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11057037, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 13390489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057413, s2 = 11085178, int(edited[s2]) = 0 s1 = 11057413, s2 = 11085178, d1 = 5, d2 = 4 Dl.O(d1) = 255508164 Dl.O(d2) = 254753571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057413, s2 = 11085178, dlinesl.size( ) = 14 s1 = 15490762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6646647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057825, s2 = 11105190, int(edited[s2]) = 0 s1 = 11057825, s2 = 11105190, d1 = 12, d2 = 7 Dl.O(d1) = 21965449,21965451,29292628 Dl.O(d2) = 71925509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057825, s2 = 11105190, dlinesl.size( ) = 22 s1 = 11057829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057829, s2 = 10426649, int(edited[s2]) = 0 s1 = 11057829, s2 = 10426649, d1 = 10, d2 = 12 Dl.O(d1) = 255440502 Dl.O(d2) = 13593699,9307949,6097197,3814778,2352194,1362571,1362566,1341716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057829, s2 = 10426649, dlinesl.size( ) = 14 s1 = 9090656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11058041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058041, s2 = 11109312, int(edited[s2]) = 0 s1 = 11058041, s2 = 11109312, d1 = 11, d2 = 13 Dl.O(d1) = 22015067,22015068,258108347 Dl.O(d2) = 261152556,77176938,269776120,25223075,18656051,13265858,13265859,18656053,25223077,258381131,260188388,17477275,17477276,12606150,12606151,16008662,11630375,11553051,11553052,11616146,11616145,11558009,9143557,7732825,7732824,8624724,8624725,11423600,11423601,11630660,7748009,4906714,4906712,7748004,11626230,9116416,5964898,4860357,4860358,4860675,4860674,7681841,11419421,7589816,7589815,11053982,7329485,4630157,4630158,4808447,7329739,4630308,2789418,1618316,920511,920510,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371461,11114264,11411534,7695945,7695946,10347389,7735591,4897620,4896762,4896761,4896708,2951063,1711448,267792283,4896704,7734426,11615028,7790551,7790552,7603819,7603820,7585515,4797909,4797908,7585507,255100085,15021799,15930684,15930683,16398209,254799451,4893077,4893076,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731589,7593774,4803535,4803533,7593768,4816207,2902388,2902389,4816213,7612554,7683872,11549370,15233969,16404426,256040231,17810149,17810150,24178534,20022805,14340984,9852529,6471810,4055691,4055689,4820403,7618729,7618596,4820305,4820304,7618595,255291327,26008809,33826532,257241943,257195079,33148109,255661173,18817122,255829633,37118478,47004477,269779369,258448566,60190217,62648881,51022974,51022975,60190216,258391514,59592970,257499446,75455068,62532572,50928831,44520110,35143745,35143744,44520107,55366066,67705778,269766788,109481399,123673218,259880634,268198874,10290902,10290901,6784137,5941266,5941265,4250549,2541075,1464001,828461,828462,1464006,2094015,2094016,3520127,5660114,6754881,6754882,9083558,9083559,8332158,8332159,6803313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058041, s2 = 11109312, dlinesl.size( ) = 14 s1 = 11058097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058097, s2 = 11357726, int(edited[s2]) = 0 s1 = 11058097, s2 = 11357726, d1 = 17, d2 = 11 Dl.O(d1) = 256919477 Dl.O(d2) = 127402106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058097, s2 = 11357726, dlinesl.size( ) = 26 s1 = 13308550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13308550, s2 = 7387002, int(edited[s2]) = 0 s1 = 13308550, s2 = 7387002, d1 = 44, d2 = 28 Dl.O(d1) = 58671194,49873781,47897603,39950892,31275954,31275953,29417227,29417226,37980132,37959424,29394893,22064511,22064510,29394891,28835016,254358978,7101592,7101591,7101668,4471282,4471284,7101449,5311674,5311675,8239460,12207892,15539417,11011217,7289324,7289325,254371008,254519402,22519832,22526640,16353726,11380358,11380357,11361484,11361485,11361490,11361491,16330372,15544491,10752771,10752770,7563097,7563098,11383776,16357937 Dl.O(d2) = 266121879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13308550, s2 = 7387002, dlinesl.size( ) = 2 s1 = 13308550, s2 = 7387002, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13308550, Dl.E( ) = 70, 2.48e-05 seconds used appending s1 = 11058347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14879676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16174683, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11058569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058569, s2 = 11262364, int(edited[s2]) = 0 s1 = 11058569, s2 = 11262364, d1 = 5, d2 = 13 Dl.O(d1) = 256926809 Dl.O(d2) = 42741608,33711907,33711906,42741607,268230998,47506522,58885474,71605001,85169685,257547722,107660116,93257747,79142773,257855159,53732650,65788607,79142777,93257752,107660127,122034304,260056237,100724741,114773259,128672942,115877965,101831286,101831287,114299111,101831285,100269348,270336653,72710892,72710871,258786965,100269336,91707036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058569, s2 = 11262364, dlinesl.size( ) = 8 s1 = 11058751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058751, s2 = 3522837, int(edited[s2]) = 0 s1 = 11058751, s2 = 3522837, d1 = 1, d2 = 3 Dl.O(d1) = 22200429,22200430,29543613,25100759,25100758,255425530,47515683,37610758,37610759,256104302,63857546,52037959,47515628,37610684,37610683,47515626,58895414,256584140,47784708,47784710,47784709,59184453,71923542,85510935,99456903,113467172,113467170,113467169,127336822,140692963,131378698,117578189,103447508,89351714,259575819,75590299,269439861,40884554,32111090,24534137,18101205,18101185,18101184,24534101,32111039,38644273,30068930,22689852,16489250,11488743,11488744,16489255,18101314,18101313,24534286,18890734,18890733,24534382,24534381,32111055,32111056,40884524,51021612,40884445,32110954,24533976,24533975,32110950,40884437,32111130,32111129,38644280,38644278,32726585,32726586,32726595,25039248,25039247,24534194,18101239,12834350,8726976,5681140,3533863,2103297,2103296,3533858,5681134,8726969,12834341,18101218,24534144,32111099,32111226,32111225,30068918,22689840,16489240,16489242,18101325,12834385,12834384,18101320,24534290,18101417,18101405,18101404,24534385,24534388,32111300,32111017,32110956,24533986,18101101,18101100,24533983,24534141,32111096,40884449,32110958,32110960,25039244,18505193,13147417,13147418,18505167,18505168,18505173,18101147,12834296,8726943,5681124,3533854,3533855,5681128,8726949,12834311,18101178,18101296,12834373,12834374,18101299,24534273,32111230,40884412,32111237,24534281,18101311,12834379,12834378,18101307,18101421,12834447,8727026,8727025,12834442,18101412,24534394,24534076,24533995,18101108,12834274,12834273,18101105,24533991,32110964,32111190,32111189,32110943,24533970,18101090,12834264,12834265,13147398,13147399,13147403,18462997,18101138,18101139,18101080,12834258,12834259,12834305,18101162,18101173,24534089,24534266,18101290,18101291,24534041,24534040,32110991,40884473,32111614,24534769,18101783,12834712,12834711,13233454,13233451,18616800,16172604,16172605,18101398,24534375,24965939,24534031,18101129,12834285,8726939,8726938,12834281,18101123,18101833,18101835,24534821,32111653,25039238,18505186,13147414,8960853,5849052,5849051,8960848,13147408,18505179,25039232,24533953,24533952,24534063,24534062,24534083,24534084,24534902,32111214,24534262,24534261,32111211,32726608,32726606,32110930,24534779,18101789,12834715,8727211,8727212,8727243,8727242,12834769,18101866,24534007,18101114,18101113,24534004,24985386,24985388,32110983,24534017,18101120,18101118,18101841,12834756,8727236,8727237,12834760,18101843,13147431,8960861,5849056,3650249,3650251,5849061,8960869,13147443,18505234,25039296,32110918,24985431,18463007,13116082,13116083,18463012,18462943,18462944,24985312,24985313,32110966,32110967,36890400,28393302,24534874,18101887,12834781,8727251,5681283,5681282,8727248,12834774,18101872,24534860,24985420,18462993,18462989,24985412,32659238,24985406,24985405,32659233,41549432,32659202,24985379,18462971,18462972,24985384,32659210,32726618,25039276,21173699,15214600,15214601,18505224,25039280,25039279,28393311,21173723,18101854,18101855,24534841,25039251,25039250,32659323,32659151,24985300,18462917,18462919,24985304,18463100,13116133,13116134,18463103,18463143,24985629,24534864,18101874,18101875,18462968,24534827,32111662,32111695,32659226,24985399,18463041,13116093,8939157,8939156,13116088,18463025,24985451,32635564,24965779,24965778,32635559,32659162,28393282,21173705,15214587,10495115,10495116,15214593,21173714,28393295,32659180,24985363,18462954,13116101,13116102,18463055,24985480,18463062,18463064,24985507,32659329,24985579,18463107,13116137,8939173,8939175,13116143,13116170,18463149,18463073,18463072,24985376,24985375,32111656,32659352,41549537,51831942,41549457,41549458,41549468 Dl.O(d2) = 5834670,8939193,13116171,268286099,32659470,41549522,37802513,268457394,21920490,21920491,24985643,24985642,32659490,32689286,32689287,37802615,47723804,59121725,62047308,59121721,59121717,59121678,47723737,37802503,37802502,36890506,36890507,29238913,21920398,21920397,29238908,37802433,47723700,47071226,47071228,39529256,37802610,29239075,29239074,36889344,29238959,21920420,21920419,29238954,37802487,37802553,46768762,36890472,36890474,30918860,29235047,21917593,21917592,29235045,37797562,47718091,47727626,47326685,37418146,37418145,37418163,28876549,256339543,47326696,258071843,85019403,98944946,112934338,261670479,164670519,175428468,184972278,193305877,200458948,206500404,211494518,212905502,208158234,202400232,263998550,178339471,167913271,156334241,143811769,130487283,116648465,102549295,88542725,74904421,62101055,50602494,40561482,31859813,24337718,17947709,17947708,17340902,17340903,23657854,26659832,26659833,34651207,37087023,28582316,21352643,15376328,10625320,10625318,15376323,21352632,26659859,31808438,24293446,17911385,17911384,17947732,12717981,8641412,8641413,12717987,17947742,24337768,19845508,14217934,14217933,19845506,24336975,31859180,33782916,31859852,24337742,19305407,19305406,25972463,33782828,33782965,33782744,33782745,267917368,21407992,21407991,255511162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058751, s2 = 3522837, dlinesl.size( ) = 2 s1 = 11058751, s2 = 3522837, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11058751, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11058795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058795, s2 = 11345634, int(edited[s2]) = 0 s1 = 11058795, s2 = 11345634, d1 = 52, d2 = 59 Dl.O(d1) = 22211948,22211949,257645037,74222663,87827660,260115757 Dl.O(d2) = 143076612,274117672,274359817,223293971,220695660,273929056,189934818,262485886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058795, s2 = 11345634, dlinesl.size( ) = 48 s1 = 6435128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11058967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058967, s2 = 11342980, int(edited[s2]) = 0 s1 = 11058967, s2 = 11342980, d1 = 87, d2 = 18 Dl.O(d1) = 22255037,22255039,29604979,29605098,256394513 Dl.O(d2) = 120370510,106168397,91970426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058967, s2 = 11342980, dlinesl.size( ) = 20 s1 = 13516919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059041, s2 = 11068016, int(edited[s2]) = 0 s1 = 11059041, s2 = 11068016, d1 = 0, d2 = 23 Dl.O(d1) = 22271417,22271418,29622712,33557614,33557613 Dl.O(d2) = 19415143,13890274,9531032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059041, s2 = 11068016, dlinesl.size( ) = 30 s1 = 7611378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7611378, s2 = 11208234, int(edited[s2]) = 0 s1 = 7611378, s2 = 11208234, d1 = 15, d2 = 32 Dl.O(d1) = 269339642,93199414 Dl.O(d2) = 72367425,256850878,29765236,38335956,258138751,85962211,99919725,271766422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7611378, s2 = 11208234, dlinesl.size( ) = 20 s1 = 11059151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059151, s2 = 14060322, int(edited[s2]) = 0 s1 = 11059151, s2 = 14060322, d1 = 0, d2 = 10 Dl.O(d1) = 29655001,22304438,256940409,36889198,28392306,21172947,16155914,16155913,22301497,29653200,33409135,42398319,257806573,77900455,259295810,60569177,49170243,49170244 Dl.O(d2) = 16645927,22874156,28656330,256864365,11192600,7426482,4692905,2827662,2827663,4692910,4693175,7426951,4693280,2827884,2827727,2827726,4693019,7426672,4693570,2828048,1640827,933025,933026,1640833,2828058,4693589,7427655,11194189,11181029,11181027,16097868,11193391,11193393,11192142,7426218,4693119,2827784,2827782,4693111,7426845,11193090,267890599,2827999,2827998,4693483,254770717,11129984,255076243,11210200,11210199,11193847,7427405,7427404,11193844,15235084,12035090,8090791,5183524,3162481,1851280,1056520,594039,594037,1056514,1851268,3162455,5183472,7426512,4692926,2827671,2827670,4692923,7426509,8091076,12035429,12035433,17125908,21829381,21829382,22148412,29486742,28422744,21199860,255816197,255618929,254892083,254289407,254289405,5719918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059151, s2 = 14060322, dlinesl.size( ) = 8 s1 = 11059173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059173, s2 = 11062472, int(edited[s2]) = 0 s1 = 11059173, s2 = 11062472, d1 = 19, d2 = 0 Dl.O(d1) = 22307399,16160867,11228179,254561258,2835717,2835716,2588536,1492203,926984,926987,1630254,2810189,4664527,7383221,11130847,13422340,16114092,16112858,11192183,7426741,4693054,2827746,2827744,4693045,7426716,7418844,4688183,2824932,1639090,932131,932127,1639074,2824908,4688145,7418773,7426119,9178783,11193641,7427258,4693357,4693355,7427049,4693229,2827850,1640717,932965,932968,1640639,2827707,4692996,7426479,7426478,11192592,11192265,7426270,7426272,7426277,11192325,16113025,22251254,22251733,22149644,22149642,22233039,22149607,22149606,29487932,25533551,22233054,22233053,29486834,22148493,16029501,16029499,268942041,29581143,22233489,22233488,22233331,16098472,16098473,22233333,29581014,22233391,255410864,7498743,4740180,4740181,7418451,11180969,7418640,4688072,4688074,7418645,7418678,4695803,2829306,2829305,4695795,7431146,7095478,4467511,4467510,7095471,10739094,15527527,12035591,12035592,17126081,22251259,16114805,16112962,11192271,11192272,11193301,11193300,16029876,22148660,16029652,11130147,7382752,7382753,11130149,7382872,7382810,6153066,6153068,4692878,4692875,7426428,11192510,11294383,11294384,16245496,255910567,38050459,257530031,255910573,22251473,16113232,16113233,16029534,11130063,11130064,15761416,12035067,8090782,8090785,12035079,16122251,22262571,16934847,11852479,7921724,7921723,11852477,16934932,22148852,16142513,16142511,22148545,22409847,23205453,16934987,11852520,11852519,15526773,11294594,11294595,11130264,11130266,7431506,7382614,7382616,11129936,11852505,7921732,5036298,5036269,3049295,3049292,5036276,7921692,11852427,16245580,16245582,11852373,11852372,16934786,11852527,11852525,15761426,10915649,7219123,7219118,8090773,12035053,17125550,16934793,16934792,11852486,7921726,7921728,11852498,16934959,23205353,23205352,22263588,16246361,16246360,22409855,16934070,15527867,15527865,16123072,11199915,7431479,4695998,4695999,4696014,4696012,7431514,7921756,5036318,3049317,1776456,1012830,1012829,1776452,3049306,5036292,7921714,11852455,11198842,11198845,16121425,17132426,12040026,8094234,5185634,4695927,4695928,7431326,10740830,10739220,10739222,15527726,21544591,16934939,11852482,11852483,16934946,16246308,16246309,21544744,21544745,16114391,15529865,15528188,10739507,10739508,15528192,15529875,11851717,7921181,7431498,4696024,2829419,2829420,4696029,4467583,2684078,1554824,884039,884043,1554837,2684110,4467635,267965385 Dl.O(d2) = 10794622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059173, s2 = 11062472, dlinesl.size( ) = 2 s1 = 11059173, s2 = 11062472, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11059173, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 13345167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059239, s2 = 14844151, int(edited[s2]) = 0 s1 = 11059239, s2 = 14844151, d1 = 16, d2 = 7 Dl.O(d1) = 255604316 Dl.O(d2) = 89048020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059327, s2 = 12642979, int(edited[s2]) = 0 s1 = 11059327, s2 = 12642979, d1 = 7, d2 = 5 Dl.O(d1) = 29699896,22345822,16196238,11258524 Dl.O(d2) = 4723395,4723396,7473993,11258527,16196242,22345832,29699904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059327, s2 = 12642979, dlinesl.size( ) = 2 s1 = 11059327, s2 = 12642979, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11059327, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13371565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13311176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13311176, s2 = 3962922, int(edited[s2]) = 0 s1 = 13311176, s2 = 3962922, d1 = 87, d2 = 122 Dl.O(d1) = 256947733 Dl.O(d2) = 143153371,129820708,260121667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13311176, s2 = 3962922, dlinesl.size( ) = 20 s1 = 13311376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059703, s2 = 10714026, int(edited[s2]) = 0 s1 = 11059703, s2 = 10714026, d1 = 9, d2 = 16 Dl.O(d1) = 256408829,22545864,22545856,16370160,11392563,11392562,16370157,22545853,21501393,15494152,15494151,21501390,28761001,37294824 Dl.O(d2) = 257453089,71327053,84900346,98826877,98826878,98826879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059703, s2 = 10714026, dlinesl.size( ) = 18 s1 = 13311656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059879, s2 = 11023732, int(edited[s2]) = 0 s1 = 11059879, s2 = 11023732, d1 = 12, d2 = 11 Dl.O(d1) = 29823812,255525040,46657604,257017230,271366944,152049231,269982692,72607240 Dl.O(d2) = 48477581,38564212,38564213,30777617,30777618,35377216,27252497,255575828,46627033,36738951,36738953,46627038,36739180,28243915,28243916,36739181,31474927,31474926,40159332,41164881,41164903,50185560,40161143,37412367,28871002,28871001,37412366,254856274,41498441,39443370,39443371,46627318,36739254,36739253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059879, s2 = 11023732, dlinesl.size( ) = 8 s1 = 11059909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059909, s2 = 11104384, int(edited[s2]) = 0 s1 = 11059909, s2 = 11104384, d1 = 19, d2 = 1 Dl.O(d1) = 22462747,16294633,15394282,15394281,16271702,13679645,9367880,6136131,3838959,2299930,2299929,3838955,6136122,9367858,12844498,8734611,5686493,3537434,2105656,1212558,1212559,2105659,3537441,5686510,8734650,8734551,5686457,5686458,8734552,12844406 Dl.O(d2) = 24550640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059909, s2 = 11104384, dlinesl.size( ) = 8 s1 = 13311864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13311864, s2 = 10404512, int(edited[s2]) = 0 s1 = 13311864, s2 = 10404512, d1 = 1, d2 = 1 Dl.O(d1) = 72450219,254832762,38417681,29849121,22483646,22483648,29351593,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8184309,11045784,11045782,15922987,22015978,15914378,11035773,11035772,12151738,17272476,22515388,22515389,22477003,22477002,20122796,20122795,16357793,16357794,22530406,29884694,29354282,29354281,254133480,27232622,21296381,21296382,15922400,11045404,11045403,254583902,16353883,11380501,11380502,267765864,16338012,14485431,11371809,11371810,11367598,11367597,8168991,5238213,5238067,3197462,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554439,7549817,7549818,8196019,12164608,16347859,16347860,12180192,12180193,17278017,17318106,22503809 Dl.O(d2) = 72450219,254832762,38417681,29849121,22483646,22483648,29351593,28516414,21295298,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,11383427,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8184309,11045784,11045782,15922987,22015978,15914378,11035773,11035772,12151738,17272476,22515388,22515389,22477003,22477002,20122796,20122795,16357793,16357794,22530406,29884694,29354282,29354281,254133480,27232622,21296381,21296382,15922400,11045404,11045403,254583902,16353883,11380501,11380502,267765864,16338012,14485431,11371809,11371810,11367598,11367597,8168991,5238213,5238067,3197462,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554439,7549817,7549818,8196019,12164608,16347859,16347860,12180192,12180193,17278017,17318106,22503809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13311864, s2 = 10404512, dlinesl.size( ) = 2 s1 = 13311864, s2 = 10404512, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13311864, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10404511, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11060047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11035357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035357, s2 = 8041062, int(edited[s2]) = 0 s1 = 11035357, s2 = 8041062, d1 = 0, d2 = 14 Dl.O(d1) = 21791909 Dl.O(d2) = 28340832,23101852,21128990,21128992,28341127,30045643,22670275,22670274,30045641,30518077,23101784,16845060,16845059,23101782,30045619,30045494,22670116,255106789,7634431,4829874,4829877,7634440,11478484,16474372,11478619,11478618,16474015,21539401,22670076,16474327,16474326,16037896,11135905,7386356,7386355,11135897,11478426,7634408,7634407,11478417,16474132,11479041,11479040,16475159,16476234,16476208,16476205,16476473,16476472,12144783,12144782,11291998,11291999,7635314,4830404,4830405,7635076,11479502,16241992,11291912,7497128,7497129,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,4830626,4830473,2910752,2910729,1688575,1688576,2910647,4739224,2856262,1657698,943231,943232,1657705,2856274,4739256,7497224,11292061,16242192,11478234,7634312,7634313,7636672,4831257,2911155,2911154,4831248,7636646,7396495,4672642,4672644,7396502,11151582,16060382,11474254,7631973,4828480,4828478,7631966,11474223,16060983,11467974,11467973,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,167909,92407,50978,50977,92405,167822,92363,254242163,1604403,912385,912387,1604408,1604358,1502265,851542,480955,480953,851533,1502252,1605904,913367,913366,1604801,1604800,1581053,1581051,2728994,1869267,1066333,1066303,1066304,1869238,1606492,913818,515667,515666,913813,912561,912560,1604426,913929,515730,254122795,1581523,899072,507127,507125,899065,1581520,2729545,2769951,4347436,4347435,2729942,2729941,2812781,1631764,927905,523001,293132,162127,89118,89119,162131,293139,523011,927893,927894,1606159,913556,515485,515483,913550,1606152,928050,523087,293165,293166,523088,928052,1631956,2813002,2855257,1657049,942852,942853,1657052,2855260,254228145,891094,513466,513467,910194,1600848,254971781,6488355,6488354,7197260,254341141,1579316,897866,897867,1578878,1578877,2724744,4532805,4532932,2724853,2724856,4500230,4500231,6484631,5317594,5317593,8246040,12215828,9870919,9870916,7223737,6495243,4069996,2435449,2435450,4069998,6495248,6495082,6495083,9885333,7200618,7200617,10888816,14383303,9888822,7298793,7298794,11024058,7697836,4871939,4871937,7697831,11565400,16585149,15727184,15727183,15722549,10885905,7198214,4534985,2726009,1579484,1579483,2726004,4534979,7198205,9879459,14373487,14376851,9882873,9882874,14376852,10881319,9879279,9879280,7192449,6484904,6484901,4102785,2454145,2454149,4102803,6549039,7196651,10883985,11287527,254532549,2855275,1657082,942875,942877,1600191,909758,513164,287774,159132,159134,287777,507754,284725,284726,507759,900118,942923,1657130,1557696,885541,885540,1557692,1557745,885565,499628,280167,154657,154658,280173,287479,287481,512679,908927,1598745,2757774,2705151,1658337,1557593,885482,885481,1011417,1011416,570312,570313,1011778,1774828,1774307,1011406,570079,570077,1011400,570421,570420,1011985,1775071,3046216,1774166,254129080,1598068,908468,512335,512334,908466,1598066,254232217,1601079,254344881,1597790,908295,513185,267751947,512543,505769,505767,896567,909799,513188,287792,159142,159143,287794,513192,893477,504113,282690,282691,504115,893480,909828,254188165,1133744,909698,513137,287759,159122,87511,87510,159117,158757,87282,48017,26848,26849,15261,8556,4634,2438,2437,4629,8540,15234,26863,48043,87326,87409,48093,26887,26886,48088,87401,87640,48223,26955,26956,48227,87646,87710,159403,159246,87595,87596,159248,254085237,46281,25727,25726,31244,55390,86775,86776,254079587,53989,254070937,254070939,53990,97556,162645,89408,49179,49178,85919,47148,26513,26514,47505,85713,47045,47044,27023,27024,48349,85060,86382,89075,87030,86070,57341,32254,32255,57342,84749,47910,26772,15159,8495,8496,15161,26777,30228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035357, s2 = 8041062, dlinesl.size( ) = 10 s1 = 13369105, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11060287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060287, s2 = 11116184, int(edited[s2]) = 0 s1 = 11060287, s2 = 11116184, d1 = 5, d2 = 2 Dl.O(d1) = 22583398 Dl.O(d2) = 3010413,4983473,3010316,3010320,4983499,254809231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060287, s2 = 11116184, dlinesl.size( ) = 18 s1 = 11060411, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11060653, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11060665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13341547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15373671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11060861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060861, s2 = 11095976, int(edited[s2]) = 0 s1 = 11060861, s2 = 11095976, d1 = 9, d2 = 11 Dl.O(d1) = 256817797,20920421,15014128,15014124,13336126,13336130,13892069,9532757,6253575 Dl.O(d2) = 19419551,26112250,33948524,33036429,27355327,27355326,35511721,44979240,53476771,43000037,33944300,33944298,43000029,42991830,42991828,44582079,44582075,268136634,52881161,53469230,42994068,33939578,33939576,34215522,26341810,26341808,34215514,43313402,42654107,33625481,33625480,41979775,49994144,39977975,31303152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060861, s2 = 11095976, dlinesl.size( ) = 12 s1 = 11060909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060909, s2 = 10652108, int(edited[s2]) = 0 s1 = 11060909, s2 = 10652108, d1 = 0, d2 = 7 Dl.O(d1) = 30096902 Dl.O(d2) = 259412439,100280200,260629963,128193494,128193493,114310655,259412437,86317960,259412435,100280203,114310661,114310659,260629965,128193495,128193496,141550151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060909, s2 = 10652108, dlinesl.size( ) = 2 s1 = 11060909, s2 = 10652108, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11060909, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11061227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11061227, s2 = 10346745, int(edited[s2]) = 0 s1 = 11061227, s2 = 10346745, d1 = 20, d2 = 40 Dl.O(d1) = 255113471,7692345,4867897,4867898,7692347,7742621,4902794,4902795,7742628,11615757,16582552,11562867,11562866,16432889,16652133,11619654,7738252,4899504,2952876,2952875,4800139,4800141,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11553292,7687286,4864253,4864254,7687287,7589134,7589133,11418627,11438542,7606034,4811926,2900007,2900006,4811924,254787563,4817960,4817962,255103815,18108179,12840316,12840315,16404465,11420564,7590685,4801448,267791321,1679511,2893992,4801445,4814401,254241684,1683212,2901375,4803545,2895186,2895190,4803552,5683466,5683462,8729977,12837916 Dl.O(d2) = 20260075,255006636,10001499,13283814,18676705,20350021,20350023,19034821,254970633,9866036,14358388,256213871,44388078,257393493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11061227, s2 = 10346745, dlinesl.size( ) = 20 s1 = 11061341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11061489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11061489, s2 = 11140646, int(edited[s2]) = 0 s1 = 11061489, s2 = 11140646, d1 = 23, d2 = 26 Dl.O(d1) = 22851862,16626929,255499993,30246054,256987123,60143666,48749331 Dl.O(d2) = 272729246,102240670,272612557,143507188,272908559,143507187,130176054,260143771,102240670,116336122,130176056,130176054,260511448,36994725,255822631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11061489, s2 = 11140646, dlinesl.size( ) = 12 s1 = 10599407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1707576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15944985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15944985, s2 = 2600541, int(edited[s2]) = 0 s1 = 15944985, s2 = 2600541, d1 = 10, d2 = 19 Dl.O(d1) = 211790895,215827185,211790898,206850137 Dl.O(d2) = 28257875,256293885,46639254,258021773,84281441,98177567,86951754,73340508,60595783,49195136,46893325,255570896,27243767,20312659,20312660,14577386,12569392,254597270,24125480,31631802,256015882,46467954,36601228,31497121,23999696,23999697,31361458,31361457,30880763,26206888,19496841,13955594,268160093,9582349,6290122,3939838,3939840,6290105,6290107,5375370,5375367,8328678,12328970,17486048,23822546,26127304,19432617,19432618,26127309,25373356,18788616,15240681,15240684,21047191,15117865,15117866,21047195,15800631,10948074,7487202,4731528,4731530,7487214,11144645,7392070,7392068,11144638,16050422,22175315,29517167,38081716,36583042,28110654,20933974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15944985, s2 = 2600541, dlinesl.size( ) = 2 s1 = 15944985, s2 = 2600541, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15944985, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 11061799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062107, s2 = 12251483, int(edited[s2]) = 0 s1 = 11062107, s2 = 12251483, d1 = 7, d2 = 7 Dl.O(d1) = 22995081,16756073,11709480,11709481,16756075,18028412,12778399,8686292,5652688,3514647,2090100,1202133,680778,379189,379190,214972,117837,64473,64468,64108,64111,69098,126174,126171,228997,254200831 Dl.O(d2) = 22995081,16756073,11709480,11709481,16756075,18028412,12778399,8686292,5652688,3514647,2090100,1202133,680778,379189,379190,214972,117837,64473,64468,64108,64111,69098,126174,126171,228997,254200831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062107, s2 = 12251483, dlinesl.size( ) = 2 s1 = 11062107, s2 = 12251483, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11062107, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13315366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11062457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062457, s2 = 11295782, int(edited[s2]) = 0 s1 = 11062457, s2 = 11295782, d1 = 14, d2 = 19 Dl.O(d1) = 23097995,16842182,11778168,9713632 Dl.O(d2) = 68476782,68476784,69793721,68724480,63010249,57244246,256734522,255735310,20706855,14891019,10239117,6727602,4214789,4214792,6722759,10231779,14879961,20759249,27901129,35960083,35960081,27864802,20734859,20734856,27864797,36276271,46067585,57346435,69995840,83528393,97429384,111402637,111490129,125297120,123803684,271126232,110473458,110473456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062457, s2 = 11295782, dlinesl.size( ) = 20 s1 = 11062471, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14240689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062627, s2 = 11447678, int(edited[s2]) = 0 s1 = 11062627, s2 = 11447678, d1 = 18, d2 = 6 Dl.O(d1) = 23137333,16877005,11807020,11807023,16877011,12587658,8539979,6349932,6349930,9656751,14044302,18408756,17785053,12587642,8539972,7768267,4921771,4921772,7768272,11656830,9656704,6349899,6349900,9656712,14044248,19600126,26327314,24152368,17785108,12587676,12587678,17785112,19600541,14044412,9656854,6349998,6349883,3984134,3984132,6349875,9656673,14044186,19600263,26114931,19421696,19421697,26114933,26327641,19600427,14044324,9656766,9656765,14044268,14044212,9656691,6349904,6349903,9656715,14044251,19304059,19600114,14083524,12587637,12587636,17785049,14044081,14044080,19600130,14044232,14044221,14044222,19600315,26327520,34200633,33782686,25972294,19305270,13803379,9465692,9465691,13803378,19305268,19600077,14044054,9656596,9656595,9656678,14044194,19600058,14044046,9656587,9656585,13895357,12587671,12587668,14044031,9656773,6349941,3984165,2387848,1382315,786401,786400,1382310,2387840,3984150,6349915,9656628,9656629,9687200,9465254,9465253,13802689,9656610,8739919,5689847,5689846,8739917,12852319,14044055,19600079,26327268,34200441,26327304,19600118,19600122,19600102,19600101,26327288,26327218,26327219,30433699,23027407,21429850,21429851,16785194,11736097,11736098,16785198,23027418,26327548,23027504,16785253,16785254,23027507,30433834,39023336,39023415,256069968,30433685,23027401,16785185,11736086,7835430,4973620,3004028,3004029,3004044,3004043,4973648,7835470,11736158,16785317,16785171,15436752,15436751,21429847,21429932,15436810,15436808,15436768,15436767,21429869,23027373,23027372,30433575,30433574,30433592,37073826,28678495,28678491,37201321,39023096,30433549,30433551,30433556,23027283,23027284,30433560,35189414,27100594,20200986,20200985,27100587,35066167,30433600,30433599,30433848,256172766,39023483,30434024,30433783,23027478,23027479,30433787,39023256,33781027,26296755,26296753,30433604,30433605,23027665,23027515,16785259,16785258,23027512,30433837,39023148,30433612,30433609,258188919 Dl.O(d2) = 263026524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062627, s2 = 11447678, dlinesl.size( ) = 14 s1 = 11062681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062681, s2 = 14322635, int(edited[s2]) = 0 s1 = 11062681, s2 = 14322635, d1 = 29, d2 = 21 Dl.O(d1) = 255134499,7896211,268099451,39164979,49094941,60498453,257628192 Dl.O(d2) = 16889261,11818027,7896209,5017130,3035085,1766524,1006607,1006608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062681, s2 = 14322635, dlinesl.size( ) = 30 s1 = 13334881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062739, s2 = 11545072, int(edited[s2]) = 0 s1 = 11062739, s2 = 11545072, d1 = 21, d2 = 16 Dl.O(d1) = 255135545,10366868,255369765,22752841,255135548,21513965,23539057,17231067,254375312,254814034,255499708,28077158,20904802,20904803,28077160,25567656,25567655,256652453,13506847,254653465,3787491,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370973,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404551,5404553,8374298,8404590,12435568,12057455,12057454,17152275,17152276,23429284,25565145,23433326,23433325,30863000,33311711,25550187,18937619,18937620,13702751,13702752,17785690,17425427,17425426,21926135,29246319,26603885,26603886,34590514,28933219,22753654,22753655,26609114,34596196,34588431,26601647,19795328,14179165,9747608,6409491,6409492,9747616,14179175,14180556,19797131,23417740,17141721,12047174,8099322,8099320,12047172,17141715,15951671,11070158,11070159,15951673,22055343,25317944,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,17897942,17425082,12281716,12281715,17425077,23750762,24120691,26223429,31665919,30556172,23138811,23138813,30556175,29333040,22002266,15902155,11024300,11024299,15902153,22002263,17424664,17424663,23750233,31233571,24122145,20298655,20298654,22552811,16375962,16375964,22552889,16601351,16601350,11732967,7833506,4972507,4972504,7833498,11732949,8742137,8742139,9745972,14176641,17425521,17033831,16780605,11733021,11733019,16780597,23021075,21903423,15823379,15823222,15823218,15823602,21903397,18827070,13413834,13413837,16603759,11579968,7707766,7707765,11579964,13958681,19502303,18928372,18928374,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,7707274,11579138,13173826,8980269,5863027,5863028,8980272,13173833,18540475,16600663,11577905,11577904,15821388,15821390,16604072,16601320,16601319,21942058,23187071,16920854,16920853,19199767,13712336,13712232,13712231,19199621,19360274,15950877,15950876,17023032,12034350,12034274,8090296,8090297,8090324,8090323,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,1619611,1619612,2791977,4634810,7337381,10964363,11963647,11963646,255071302,29376543,261154669 Dl.O(d2) = 265193419,224373833,265950909,225864996,265505948,191687000,264171290,273671728,191687000,183077990,173227297,162127765,149916096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062739, s2 = 11545072, dlinesl.size( ) = 12 s1 = 11062815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062815, s2 = 13174523, int(edited[s2]) = 0 s1 = 11062815, s2 = 13174523, d1 = 11, d2 = 9 Dl.O(d1) = 23187189,22726744,267765930,22619694,29987097,254348764 Dl.O(d2) = 268264957,5607664,3482341,3482340,5607663,8624606,11420446,7590593,7590594,11420448,12695294,8624602,7730605,4893760,2949158,1710339,972092,972090,1710337,2949154,2067104,2067106,3482260,2934715,1702017,967528,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,2902895,1684023,1684022,2789246,2789244,4629968,7329237,7744514,4904265,2955967,1714006,973919,548308,306940,306941,548314,973930,1714032,2956030,4904369,7744655,11613066,11410569,7582454,7582450,11410565,11441197,7607935,4813050,2900592,2900593,4813056,7607949,4893397,2950650,2950651,2933925,2933926,4868888,7693796,7734253,4896586,4896587,4902155,4892847,2948594,1710016,1710017,2898726,1681889,956504,539093,302153,167299,92080,50798,28549,16310,16311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062815, s2 = 13174523, dlinesl.size( ) = 8 s1 = 11062893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062893, s2 = 11299596, int(edited[s2]) = 0 s1 = 11062893, s2 = 11299596, d1 = 10, d2 = 12 Dl.O(d1) = 268659455,49148448 Dl.O(d2) = 259450265,260666055,114178895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062893, s2 = 11299596, dlinesl.size( ) = 14 s1 = 11062941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062941, s2 = 11169282, int(edited[s2]) = 0 s1 = 11062941, s2 = 11169282, d1 = 13, d2 = 8 Dl.O(d1) = 26614254,19805756,14186701,14186700,15558447,19805646,255726657 Dl.O(d2) = 54613950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062941, s2 = 11169282, dlinesl.size( ) = 14 s1 = 13358953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13358953, s2 = 11217642, int(edited[s2]) = 0 s1 = 13358953, s2 = 11217642, d1 = 14, d2 = 10 Dl.O(d1) = 21173755,23243749,23226789,23226788,30648531,23742906,17418185,17418184,23742905,23285963,23285965,30673699,23257692,255436454,254817419,7951607,11892055,12304790,8311004,5362653,3296661,254184915,1107514,1938899,3296668,5362668,8311027,7951720,5057463,3064105,1786197,1786201,3064114,4400598,4400597,3072549,1791988,1791990,3062865,1785402,1785403,3062873,1794738,1794737,1805327,1805330,3063478,3063479,5041960,5087699,3086809,3086811,5056307,5056308,5057284,5064925,7962003,11904356,16978828,16978827,11941378,7992331,7787187,7787186,11678694,16720384,11680802,7789002,4938421,2979974,2979973,4938419,254247609,984550,984549,1731821,2983205,4932315,7781831,7787834,7787833,11679370,12362751,16731903,16718793,254804925,7785686,4940761,2981469,2981467,4940757,3315547,2975217,1726686,1726683,1727305,981959,981962,1726622,981624,552729,552727,310065,310064,553645,983425,1729901,2974771,2975163,2975235,2975233,1729389,1729388,2979247,2982365,2982364,4934697,4931605,2978059,1728548,982618,553213,309592,171254,171251,309583,171463,171443,171445,171484,310057,554112,982632,982635,984416,1728645,1728646,1726855,1726856,2975463,1731804,1731807,2982917,1731623,1731627,2982932,4942853,7794410,4942147,4942146,7786473,4940462,2981263,2981264,4940467,7792050,11685018,15470661,16727329,16727328,16732860,16732861,12304656,8310901,5362585,3296619,3296618,5362582,8310898,7785452,7465743,4717906,2842276,1648774,937456,528261,295922,163658,89926,49452,49453,89931,163675,295951,528318,937550,1648944,1648907,937530,937531,1648909,2842486,3922965,3922964,6265973,4718182,2842443,2842442,2840994,1648026,254237481,4715804,2841085,2841086,2841249,2841191,1648153,937117,528057,295821,295822,528061,937127,1648135,1648134,2840821,254166470,4716080,4716079,254530285,4717950,7462774,7461709,4715151,2840534,1647724,1647723,2840532,4715147,7461705,11241722,11241928,11242419,7462330,4715637,4715636,7462327,11241805,7462476,4715746,2840952,2840951,4715744,7462472,11242582,16175278,16175502,16174625,11242062,11242061,16174624,11243164,7462907,7462908,11243167,16176059,22321354,17528145,16174517,11243560,11243561,16176528,22319177,16174245,16174246,16174415,16174414,22319261,16772462,16772461,22321539,255044698,11727478,11727477,11242854,11242855,11241798,7461785,4715209,4715210,7461789,11241803,11243120,7828548,4969188,4969187,7828544,7461724,4715162,4715161,267975279,7465852,11247272,11247821,11247819,11726381,7828511,7828512,11726384,16772673,22321642,27133690,27133691,29672658,22321352,16176055,11726251,7828431,4969127,4969128,7828433,11726256,16772473,16773011,16773010,17430509,23757617,22322117,16176783,255903481,20865243,14963083,14963084,16773088,16772407,11726194,7828387,4969096,3001301,3001302,4969098,7828388,11726195,16772408,23012141,29791323,22425761,19805537,254554900,16283266,16283264,22452461,28032883,22321717,16176390,16176389,16283293,16283294,16772474,23012199,29047243,33010061,25285041,22372085,16217171,11273618,267975278,4729425,6007923,9179211,11324508,7520625,7520626,11324512,15488490,15488492,16283252,11324444,11324443,16283250,22452452,28887092,21610868,15581731,10778744,255044699,21610867,28886985,37429052,33184712,33184713,255464828,22452481,29673148,22452456,18843158,13425105,9178822,6007654,3757407,254124230,1305943,2250670,3757419,6007671,9178848,9179021,254354084,3757491,4768281,4768282,254239014,9178816,7250304,7250305,254354078,16627736,16217063,16217062,22371972,22321580,18843482,15578716,15578715,21607188,28883092,37066239,28564551,21337688,15363914,10615155,7004958,4403075,2639089,2639088,4403073,7004955,10615148,15363906,254550120,11273552 Dl.O(d2) = 29728763,38295604,257526485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13358953, s2 = 11217642, dlinesl.size( ) = 14 s1 = 11062999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11062999, s2 = 11314202, int(edited[s2]) = 0 s1 = 11062999, s2 = 11314202, d1 = 6, d2 = 1 Dl.O(d1) = 254780710,11933063,16719895,11678125,7786620,7786618,11678121,16719891,11690773,11690772,16733493,11916790,11916791,256472507,255578307,12493611,255578309 Dl.O(d2) = 74490040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11062999, s2 = 11314202, dlinesl.size( ) = 14 s1 = 13317354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13317354, s2 = 10997580, int(edited[s2]) = 0 s1 = 13317354, s2 = 10997580, d1 = 19, d2 = 2 Dl.O(d1) = 5076500,7977179,254382156,23269827,23274240,17013840,254256306,17004400,12154183,12154184,11886086,11886085,7972323,7964981,7964979,5078775,5078774,7941032,7941033,11878685,11884381,11213224,7440227,4701249,4701250 Dl.O(d2) = 11885491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13317354, s2 = 10997580, dlinesl.size( ) = 22 s1 = 11063143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15287259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15287259, s2 = 11063144, int(edited[s2]) = 0 s1 = 15287259, s2 = 11063144, d1 = 0, d2 = 0 Dl.O(d1) = 64598457,77781322,91709021,77781325,77781326,91709020,91709019,105916342,120128447,133970494,270904984,260723610,143213729,143213728,155765687,167397963,177892496,187162826,195233074,201758207,263383090,262516642,166833992,260924486,129118260,142495869,155140297,166833994,177382403,262972364,201758209,205998030,199852162,192581548,184132134,174484650,261245632,139073929,125734972,111916944,97978909,257600330,57866432,46510275 Dl.O(d2) = 64598457,77781322,91709021,77781325,77781326,91709020,91709019,105916342,120128447,133970494,270904984,260723610,143213729,143213728,155765687,167397963,177892496,187162826,195233074,201758207,263383090,262516642,166833992,260924486,129118260,142495869,155140297,166833994,177382403,262972364,201758209,205998030,199852162,192581548,184132134,174484650,261245632,139073929,125734972,111916944,97978909,257600330,57866432,46510275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15287259, s2 = 11063144, dlinesl.size( ) = 2 s1 = 15287259, s2 = 11063144, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15287259, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 11063183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063201, s2 = 11336888, int(edited[s2]) = 0 s1 = 11063201, s2 = 11336888, d1 = 17, d2 = 15 Dl.O(d1) = 30705057,39302871,269370935 Dl.O(d2) = 260072885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063201, s2 = 11336888, dlinesl.size( ) = 12 s1 = 13317692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16181362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13317922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063523, s2 = 10811898, int(edited[s2]) = 0 s1 = 11063523, s2 = 10811898, d1 = 3, d2 = 1 Dl.O(d1) = 23360632,17091890,17091891,19865192,14232414,9783736,9783735,14232412,11688862,7795299,7795300,11688864,16731476,254690608,27026922,254471956 Dl.O(d2) = 31372315,23877039,17532252,17532251,23877030,31372301,40053280,47408305,37500784,28957843,21676485,15637848,10821459,10821462,15637854,21676496,28957868,23169340,23169341,30587584,31735296,24226714,24226713,31735290,40429518,37979947,29417029,29417030,37979951,47897239,42731111,33701281,33701282,36859679,36859678,40053308,40053310,50073066,50073105,61551445,61551453,50467516,40429585,40429584,50467513,50073087,40053337,31372346,23877060,17532261,12365572,12365575,17532268,23877071,31372368,40053375,46741257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063523, s2 = 10811898, dlinesl.size( ) = 2 s1 = 11063523, s2 = 10811898, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11063523, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11063623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063729, s2 = 10777643, int(edited[s2]) = 0 s1 = 11063729, s2 = 10777643, d1 = 1, d2 = 1 Dl.O(d1) = 23403133,17130247,12038671,8093421,8093420,12038667,17130240,255487398,6987602,6987603,10592437,15336466,21305874,16466691,16466688,268222248,29776729,38348619,39927767,31252581,31252582,38448264,38448263,48350561,268231468,28805097,22652299,16460621,254168970,15688111,15336351,10592364,10592363,15336350,21305726,28527842,37025825,38448403,39435647,39435648,37343285,29891601,22536874,22536873,28805149,21538374,21538373,28805146,37343277,46903330,46903331,47973509,256970134,47973513,38061433,38061432,47973510,59363942,256196774,255312134,28297738,28297735,28297697,22258649,22258646,22393527,22393525,29754120,38323626,47710669,256388248,48871557,48871558,48524882,48524881,59398645,48010924,38100130,38100131,38609427,38099962,29536181,22192957,22192959,28136622,28136623,36610351,29631291,22279417,22279418,29631282,38197837,48108897,48388825,40464145,40464144,40464138,40464139,42585826,33568929,25778909,25778908,33568927,42585821,38197371,29630614,29630615,38197373,29630647,29630646,38197399,48108625,59496880,72232780,72505703,269346062,48108617,48108616,38197571,29630906,29630907,256938409,48108635,38197412,38197411,37922361,37922362,47842418,59239315,71976770,59239311,47842412,37922358,37922357,38197957,38196772,29629910,22278139,16135202,16135201,22278134,29629898,29630296,29630294,29630587,22278757,22278756,22279205,22279077,22279076,22278827,16135677,16135678,22278831,16135822,16135821,22279059,29630927,29631013,22279145,16135875,11209028,7437380,7437381,11209030,11209037,16135888,22279157,29630846,29629973,29629974,255899036,29630286,22278611,16135530,11208841,7437270,7437268,11133100,11133097,11133058,7384654,4665399,2810765,1630662,1630661,2810757,4665385,7384626,7437458,4699594,2831385,1642688,934061,526414,294979,294980,526420,934079,1642717,2831436,4699706,7437684,11209530,12024694,11208767,11208766,255899769,256395500,28846947,21576018,15552680,10756760,7106746,7106745,10756756,15552675,21576015,22277973,22277972,16136628,11209552,7437696,7437697,255084091,15552691,21576032,255083412,7872138,7872139,11789081,16856115,255083506,16855798,11788739,11152694,11152693,16061850,15551144,15551145,21574295,21576137,21576138,22186550,29528987,29532233,22189402,16061843,15551195,10755606,10755415,7105722,7105721,7106762,4474294,2688052,1557035,885184,499428,280069,280070,499431,885189,1557046,2688075,3019456,3019455,4997463,7395944,255042740,7433301,7105851,7105848,4473727,2687731,1556858,1556861,267825803,7105902,254337055,1556946,885138,499403,280063,280061,499410,885152,1556978,2687962,4474141,7106520,10756478,15551127,254739231,7105858,10755567,255042736,21574272,28719844,21463619,15462963,10691902,7063586,7063585,254504776,258060709,270816058,263536050,79263168,65900837,53833574,258477497 Dl.O(d2) = 23403133,17130247,12038671,8093421,8093420,12038667,17130240,255487398,6987602,6987603,10592437,15336466,21305874,16466691,16466688,268222248,29776729,38348619,39927767,31252581,31252582,38448264,38448263,48350561,268231468,28805097,22652299,16460621,254168970,15688111,15336351,10592364,10592363,15336350,21305726,28527842,37025825,38448403,39435647,39435648,37343285,29891601,22536874,22536873,28805149,21538374,21538373,28805146,37343277,46903330,46903331,47973509,256970134,47973513,38061433,38061432,47973510,59363942,256196774,255312134,28297738,28297735,28297697,22258649,22258646,22393527,22393525,29754120,38323626,47710669,256388248,48871557,48871558,48524882,48524881,59398645,48010924,38100130,38100131,38609427,38099962,29536181,22192957,22192959,28136622,28136623,36610351,29631291,22279417,22279418,29631282,38197837,48108897,48388825,40464145,40464144,40464138,40464139,42585826,33568929,25778909,25778908,33568927,42585821,38197371,29630614,29630615,38197373,29630647,29630646,38197399,48108625,59496880,72232780,72505703,269346062,48108617,48108616,38197571,29630906,29630907,256938409,48108635,38197412,38197411,37922361,37922362,47842418,59239315,71976770,59239311,47842412,37922358,37922357,38197957,38196772,29629910,22278139,16135202,16135201,22278134,29629898,29630296,29630294,29630587,22278757,22278756,22279205,22279077,22279076,22278827,16135677,16135678,22278831,16135822,16135821,22279059,29630927,29631013,22279145,16135875,11209028,7437380,7437381,11209030,11209037,16135888,22279157,29630846,29629973,29629974,255899036,29630286,22278611,16135530,11208841,7437270,7437268,11133100,11133097,11133058,7384654,4665399,2810765,1630662,1630661,2810757,4665385,7384626,7437458,4699594,2831385,1642688,934061,526414,294979,294980,526420,934079,1642717,2831436,4699706,7437684,11209530,12024694,11208767,11208766,255899769,256395500,28846947,21576018,15552680,10756760,7106746,7106745,10756756,15552675,21576015,22277973,22277972,16136628,11209552,7437696,7437697,255084091,15552691,21576032,255083412,7872138,7872139,11789081,16856115,255083506,16855798,11788739,11152694,11152693,16061850,15551144,15551145,21574295,21576137,21576138,22186550,29528987,29532233,22189402,16061843,15551195,10755606,10755415,7105722,7105721,7106762,4474294,2688052,1557035,885184,499428,280069,280070,499431,885189,1557046,2688075,3019456,3019455,4997463,7395944,255042740,7433301,7105851,7105848,4473727,2687731,1556858,1556861,267825803,7105902,254337055,1556946,885138,499403,280063,280061,499410,885152,1556978,2687962,4474141,7106520,10756478,15551127,254739231,7105858,10755567,255042736,21574272,28719844,21463619,15462963,10691902,7063586,7063585,254504776,258060709,270816058,263536050,79263168,65900837,53833574,258477497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063729, s2 = 10777643, dlinesl.size( ) = 2 s1 = 11063729, s2 = 10777643, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11063729, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 10777642, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11063885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063999, s2 = 11653064, int(edited[s2]) = 0 s1 = 11063999, s2 = 11653064, d1 = 12, d2 = 16 Dl.O(d1) = 255438108,25251379,18680505,254345228,7148668,7148669,4501821,2705323,2705322,3660327,3660324,5862903,8189980,8189984,10020080,10020079,9361077,6131592,6131590,9361071,9092327,9092330,13311293,10263664,10263663,14925937,10786714,7126985,7126986,7127026,7127030,10786791,10776685,10776686,12251741,17386211,23709652,22720816,22720815,25496159,18891108,18891107,22557001,29914609,36641460,36641459,37331902,28794461,21529415,21529413,28794458,37331900,47242006,52271140,255795240,25267542,258385701,91186634,105408623,119645469 Dl.O(d2) = 274822339,266968322,266692301,274733979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063999, s2 = 11653064, dlinesl.size( ) = 14 s1 = 11064313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16016273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11064461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064461, s2 = 11104678, int(edited[s2]) = 0 s1 = 11064461, s2 = 11104678, d1 = 7, d2 = 8 Dl.O(d1) = 256502223 Dl.O(d2) = 258522502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064461, s2 = 11104678, dlinesl.size( ) = 8 s1 = 11064479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064479, s2 = 11215314, int(edited[s2]) = 0 s1 = 11064479, s2 = 11215314, d1 = 15, d2 = 10 Dl.O(d1) = 23612767,17299622,12177582,12177583,17299624,17616445,23966637,254744164,25090528,25089684,25089683,25089177,25089178,32787031,41702816,46894902,39774497,31096282,31096283,39774500,39355785,32786748,25088882,18543688,18543687,25088880,32786747,39027847,254533644,28303549,21094616,21094618,28303553,36800419,46685004,48334880,46692961,46692960,47799952,256999902,73073853,73073852,86678448 Dl.O(d2) = 262251050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064479, s2 = 11215314, dlinesl.size( ) = 20 s1 = 11064599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064599, s2 = 11243098, int(edited[s2]) = 0 s1 = 11064599, s2 = 11243098, d1 = 10, d2 = 8 Dl.O(d1) = 257634645 Dl.O(d2) = 257059619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064599, s2 = 11243098, dlinesl.size( ) = 16 s1 = 13319884, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10916263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11825010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11064815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064815, s2 = 11007562, int(edited[s2]) = 0 s1 = 11064815, s2 = 11007562, d1 = 15, d2 = 13 Dl.O(d1) = 30499675,36839194,28342441,21130167,15181429,10471644,6904398,6904403,10471659,15181451,21130194,23787437,23787438,23805152,255027186,12402991,12402990,17574802,23916953,31200967,23713270,17389543,17389542,23713265,17395666,255486766,39885705,256426466,101745001,114715665,128612446 Dl.O(d2) = 268099984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064815, s2 = 11007562, dlinesl.size( ) = 18 s1 = 11064955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064955, s2 = 11655182, int(edited[s2]) = 0 s1 = 11064955, s2 = 11655182, d1 = 16, d2 = 15 Dl.O(d1) = 256511291,259496293,271856897,272897659,265241165,224864773 Dl.O(d2) = 265893341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064955, s2 = 11655182, dlinesl.size( ) = 8 s1 = 11064975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064975, s2 = 11396316, int(edited[s2]) = 0 s1 = 11064975, s2 = 11396316, d1 = 0, d2 = 18 Dl.O(d1) = 31221598,268992847,257058333 Dl.O(d2) = 186993937,186993936,177714061,167215995,155584071,155584070,167216002,177714068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064975, s2 = 11396316, dlinesl.size( ) = 8 s1 = 11065007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065151, s2 = 11456452, int(edited[s2]) = 0 s1 = 11065151, s2 = 11456452, d1 = 31, d2 = 25 Dl.O(d1) = 31267328,256010424,269396312,74216280,258253354,115838865,260712034 Dl.O(d2) = 272260032,155618864,167249503,177744003,167249500,167249499,177744003,177744004,263970469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065151, s2 = 11456452, dlinesl.size( ) = 26 s1 = 15400027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15400027, s2 = 543149, int(edited[s2]) = 0 s1 = 15400027, s2 = 543149, d1 = 23, d2 = 25 Dl.O(d1) = 201844991,263862380,177530820,262663940,261663864,271383433,73983261,61203854,49725012,257452504,39706354,31029286,255839736,12123702,8155427,8155429,12123705,15740954,10901652,7209886,4542689,2730782,1582335,1582336,2730784,4542695,7209898,10768810,7115144,6105091,6105092,7209908,4542701,2730786,2730785,4542696,7209899,10901670,255427735,29098857,28046028 Dl.O(d2) = 10740878,7096569,7096570,6205208,3883901,2325699,2325700,3883903,6205213,9463715,13800516,19301507,256164173,42810189,34667961,32238288,25967752,19301482,13800500,9463704,6205206,6205207,9463707,13800503,19301488,25967760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15400027, s2 = 543149, dlinesl.size( ) = 2 s1 = 15400027, s2 = 543149, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15400027, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 13320644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14022598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065259, s2 = 11825165, int(edited[s2]) = 0 s1 = 11065259, s2 = 11825165, d1 = 7, d2 = 7 Dl.O(d1) = 16070467,22198047,16203151,11263696,7477527,254354863,2847431,4725841,7477536,11263706,16203169,16070859,11159281,11159280,16070857,16069061,11157857,11157858,11967837,8011543,5100252,5100251,8011541,11967832,17059554,16068740,16068739,17474222,23766312,23766311,17474192,12319782,8321382,254848157,17474193,23807225,29313944,22199547,22199546,22199833,22199832,255801437,21016088,16906622,16906621,254845959,5355705,3291727,3291728,1937355,1937357,3294127,5358942,8305858,12297982,16597113,16597115,16866218,11797760,268098989,12318683,17472744,18351490,13028484,13028486,16253430,16253431,16779112,23019666,22355245,22355246,17472932,17472931,254823550,17472279,12318347,8320533,5369042,5369040,3300908,3300909,2858337,2858338,4742896,7503323,11301622,12319364,17420945,14164153,12319360,12319361,12319376,12319374,17473719,12319348,12319346,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,8871968,12319436,11264095,7503432,7503435,11301773,11730726,8321142,8321141,11264012,11730840,16778004,16255056,11301292,7503127,7503126,254312544,254312542,23019093,16778581,11731204,7832029,4971565,4971566,254807781,16778583,255531846,22421464,29786350,23776089,23776090,31261237,38276932,29786575,29710079,22354818,22354819,22207440,22207439,29552162,25715127,19086794,13627137,9331244,9331245,13627140,19037700,13589576,13589575,255149139,12042095,17135248,17135246,19035994,13588003,9304006,268028351,13546015,9360695,6131346,6131345,9360691,9304945,6095157,3813436,2284296,2284297,3813437,6095159,9304949,13589503,13164657,8973285,5857867,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474613,16468776,22663458,27213588,31481331,23984635,17638879,12463045,8431696,8431694,12463039,17638869,13204501,13204500,12362650,8353499,8353498,254505539,2693364,2693363,4482675,7119654 Dl.O(d2) = 16070467,22198047,16203151,11263696,7477527,254354863,2847431,4725841,7477536,11263706,16203169,16070859,11159281,11159280,16070857,16069061,11157857,11157858,11967837,8011543,5100252,5100251,8011541,11967832,17059554,16068740,16068739,17474222,23766312,23766311,17474192,12319782,8321382,254848157,17474193,23807225,29313944,22199547,22199546,22199833,22199832,255801437,21016088,16906622,16906621,254845959,5355705,3291727,3291728,1937355,1937357,3294127,5358942,8305858,12297982,16597113,16597115,16866218,11797760,268098989,12318683,17472744,18351490,13028484,13028486,16253430,16253431,16779112,23019666,22355245,22355246,17472932,17472931,254823550,17472279,12318347,8320533,5369042,5369040,3300908,3300909,2858337,2858338,4742896,7503323,11301622,12319364,17420945,14164153,12319360,12319361,12319376,12319374,17473719,12319348,12319346,16256262,11302138,11302140,13028939,18352065,24848105,22421412,16255901,16255903,17473475,12319189,8321022,8321019,12319183,17472655,17472656,13028470,13028468,18351465,17472941,12318821,11301043,11301046,11731444,11731443,11301586,11301585,11731455,11731456,15213988,13029016,8871967,8871968,12319436,11264095,7503432,7503435,11301773,11730726,8321142,8321141,11264012,11730840,16778004,16255056,11301292,7503127,7503126,254312544,254312542,23019093,16778581,11731204,7832029,4971565,4971566,254807781,16778583,255531846,22421464,29786350,23776089,23776090,31261237,38276932,29786575,29710079,22354818,22354819,22207440,22207439,29552162,25715127,19086794,13627137,9331244,9331245,13627140,19037700,13589576,13589575,255149139,12042095,17135248,17135246,19035994,13588003,9304006,268028351,13546015,9360695,6131346,6131345,9360691,9304945,6095157,3813436,2284296,2284297,3813437,6095159,9304949,13589503,13164657,8973285,5857867,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474613,16468776,22663458,27213588,31481331,23984635,17638879,12463045,8431696,8431694,12463039,17638869,13204501,13204500,12362650,8353499,8353498,254505539,2693364,2693363,4482675,7119654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065259, s2 = 11825165, dlinesl.size( ) = 2 s1 = 11065259, s2 = 11825165, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11065259, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 11825166, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11065361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065387, s2 = 10633920, int(edited[s2]) = 0 s1 = 11065387, s2 = 10633920, d1 = 19, d2 = 0 Dl.O(d1) = 23830593,17492298,12333479,12333481,17492302,23830599,31320793,31320792,39998209,44574199,44574198,40560318,31858628,24336428,24336427,18584258,13206484,9002602,5877154,3669444,2196451,1276088,1276087,2196509,3669682,5877388,3669529,3669530,5877394,9003036,255244867 Dl.O(d2) = 77008741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065387, s2 = 10633920, dlinesl.size( ) = 12 s1 = 11065443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065457, s2 = 8794009, int(edited[s2]) = 0 s1 = 11065457, s2 = 8794009, d1 = 33, d2 = 27 Dl.O(d1) = 257650709 Dl.O(d2) = 212664413,207880745,202075832,195170940,264284373,212664409,207880760,202075844,202075843,264563797,207880753,202075835,195170944,263973941,187096240,187096239,263973939,265299058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065457, s2 = 8794009, dlinesl.size( ) = 50 s1 = 13321182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321182, s2 = 16348558, int(edited[s2]) = 0 s1 = 13321182, s2 = 16348558, d1 = 6, d2 = 6 Dl.O(d1) = 18157217,18157218,16104596,11186370,11186369,13492825,9231266,6045793,6045792,9231264,13492821,18926667,254925103,6045798,6045797,9231274,13492839,18926701,25538810,33300942,31362941,23868634,17524351,267765036,8350235,10855366,7176846,6880654,4318939,4318940,6880661,10437451,8350216,5389558,3314110,1949611,1949610,3314099,5389536,8350191,7172295,4517884,4517886,7172303,10849004,10821781,7151861,4503791,4503793,4503816,4503815,7151909,10821849,15638493,254161796,28313480,21103151,267967282,10454014,267967646,28313484,36810112,46693388,37569653,254509862,21677461,21677460,15638559,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,7184424,4526116,4526118,7184436,10866468,15697328,21750237,25412930,33154114,42108645,52461234,255423898,58855532,47494671,47494673,47408961,47408962,58795877,58856309,47472583,40434869,40434868,50472275,50471494,50471493,49154162,39227879,33154401,33154399,42108966,52461562,50476870,50476871,61970220,50476782,47474047,47474048,49108352,40439984,31745634,24235328,24235330,31745782,40440159,47494861,40440243,31745871,29688124,22335586,16188031,11252414,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421 Dl.O(d2) = 18157217,18157218,16104596,11186370,11186369,13492825,9231266,6045793,6045792,9231264,13492821,18926667,254925103,6045798,6045797,9231274,13492839,18926701,25538810,33300942,31362941,23868634,17524351,267765036,8350235,10855366,7176846,6880654,4318939,4318940,6880661,10437451,8350216,5389558,3314110,1949611,1949610,3314099,5389536,8350191,7172295,4517884,4517886,7172303,10849004,10821781,7151861,4503791,4503793,4503816,4503815,7151909,10821849,15638493,254161796,28313480,21103151,267967282,10454014,267967646,28313484,36810112,46693388,37569653,254509862,21677461,21677460,15638559,15638558,21677485,16473246,11477687,11477682,15695972,10865697,7594929,7594924,11425572,16409615,22592670,29025454,21735503,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,7184424,4526116,4526118,7184436,10866468,15697328,21750237,25412930,33154114,42108645,52461234,255423898,58855532,47494671,47494673,47408961,47408962,58795877,58856309,47472583,40434869,40434868,50472275,50471494,50471493,49154162,39227879,33154401,33154399,42108966,52461562,50476870,50476871,61970220,50476782,47474047,47474048,49108352,40439984,31745634,24235328,24235330,31745782,40440159,47494861,40440243,31745871,29688124,22335586,16188031,11252414,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175469,29033420,29033418,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321182, s2 = 16348558, dlinesl.size( ) = 2 s1 = 13321182, s2 = 16348558, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13321182, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 16348557, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11065577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15240121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065837, s2 = 10995072, int(edited[s2]) = 0 s1 = 11065837, s2 = 10995072, d1 = 16, d2 = 5 Dl.O(d1) = 31415410,23925594,17584225,17584226,268442239,31814645,31814644,38792575,30207926,30207927,31147852,31147850,39829981,49853331,61336192,65368410,53364537,42898379,33853366,33853365,257244249,47661160,47661159,59061384,269398180,47661167,37739307,29178458,21867765,15793831,10942442,7240621,7240620,10942440,15793827,21867756,29178444,31814640,31814641,29168763,29168762,37728951,269329397,71793212,85381998,75426847,62507899,62507901,50907581,50907582,62507949,53262456,42809321,42809324,53262467,65252215,62508005,50907651,50907652,62508013,58532442,52273649,52273651,64122797,77270175,91189745,105411977,98700131,98700133,91189694,91189693,105411941 Dl.O(d2) = 84771363,257441250,47101479,37205008,28681443,21432136,254732572,7049437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065837, s2 = 10995072, dlinesl.size( ) = 12 s1 = 13321670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321670, s2 = 16210002, int(edited[s2]) = 0 s1 = 13321670, s2 = 16210002, d1 = 2, d2 = 11 Dl.O(d1) = 12078798,8122342,8122343,12078801,16216372,15165412,15165413,21111486,28321666,23951333,23951332,28320534,21110219 Dl.O(d2) = 139458270,152182023,164059434,272524908,262155710,200099234,206185372,211213998,215329598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321670, s2 = 16210002, dlinesl.size( ) = 2 s1 = 13321670, s2 = 16210002, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13321670, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 16210001, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15345790, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13281731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11066129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11066151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066151, s2 = 11315008, int(edited[s2]) = 0 s1 = 11066151, s2 = 11315008, d1 = 21, d2 = 13 Dl.O(d1) = 23990257,23990258,255684498 Dl.O(d2) = 257712121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066151, s2 = 11315008, dlinesl.size( ) = 2 s1 = 11066151, s2 = 11315008, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11066151, Dl.E( ) = 32, 2.88e-05 seconds used appending s1 = 13321978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13321978, s2 = 13218600, int(edited[s2]) = 0 s1 = 13321978, s2 = 13218600, d1 = 6, d2 = 4 Dl.O(d1) = 39340862,254187318,23994382,17650341,17650345,23994391,21046233,15117178,15117177,21046229,28246066,36741845,46629797,52726135,42339102 Dl.O(d2) = 38687758,30111736,22731486,16526260,11517987,7661845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13321978, s2 = 13218600, dlinesl.size( ) = 2 s1 = 13321978, s2 = 13218600, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13321978, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 14188120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11066279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066279, s2 = 10762735, int(edited[s2]) = 0 s1 = 11066279, s2 = 10762735, d1 = 5, d2 = 15 Dl.O(d1) = 258898175 Dl.O(d2) = 272033574,178011279,273466158,264085800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066279, s2 = 10762735, dlinesl.size( ) = 12 s1 = 11066345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066345, s2 = 11244400, int(edited[s2]) = 0 s1 = 11066345, s2 = 11244400, d1 = 0, d2 = 19 Dl.O(d1) = 31538939 Dl.O(d2) = 258898921,53718312,43205889,34118668,257259881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066345, s2 = 11244400, dlinesl.size( ) = 20 s1 = 11066425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066425, s2 = 11304408, int(edited[s2]) = 0 s1 = 11066425, s2 = 11304408, d1 = 56, d2 = 53 Dl.O(d1) = 256607974,41849345,254434846,18642130,13254941,13254940,18642128,25206029,32920338,255635010,91039429,105248120 Dl.O(d2) = 273914094,273985275,263520412,272848286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066425, s2 = 11304408, dlinesl.size( ) = 52 s1 = 11066549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066549, s2 = 11455074, int(edited[s2]) = 0 s1 = 11066549, s2 = 11455074, d1 = 29, d2 = 24 Dl.O(d1) = 24090229,255193221,8505536,8505537,11069629,11069630,15951052,22038983,15949234,14220046,10438076,10438074,7339735,7339737,11069297,15945292,11065040,7336698,254522597,2794663,2794664,4639904,7346206,11078833,15962582,15125750,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415861,9757572,14193926,12086744,8128006,8128005,12086739,17189325,23470029,30054856,38628723,33701625,31640428,24133303,17769660,12575075,12575076,13446632,9195090,6019781,3765823,3765822,6019780,9195084,13446624,18870418,24264007,24264006,31776363,40471069,50506542,52072066,42176034,42176035,37333127,28795661,21530399,15516989,15516987,13492953,13492954,18926894,14193846,13492660,13492659,12447400,8415657,5431099,3338620,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14195089,14195092,255727745,19816983,17253967,12134297,12134298,17253970,14194991,14194992,19816804,26627919,27962533,20800491,14906934,14906933,254870918,28956306,21675250,21675251,21199359,21199358,28422170,36920233,42396323,33407114,25640470,25640471,33407121,34617964,39098669,40453267,34001405,34001403,32580964,255588622,13080222,13080225,18415180,24924177,26151355,33992791,33370728,25605967,256140175 Dl.O(d2) = 265585224,274202960,225478459,225478458,274110272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066549, s2 = 11455074, dlinesl.size( ) = 30 s1 = 11066777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066777, s2 = 6871378, int(edited[s2]) = 0 s1 = 11066777, s2 = 6871378, d1 = 30, d2 = 34 Dl.O(d1) = 24152603,254184648,8540145,5538228,5538229,8540103,8540160,8540157,254411780,21493217,24085612,17728282,17728281,24085610,31252013,23767614,254193342,12252578,8274973,8274974,12252580,12253101,15185407,12593779,8544967,8544968,12593789,15488076,15488078,17898768,17898770,24279112,24098998,24098996,17742227,12553698,12553697,17742225,24065355,24098987,31603073,24166188,17798501,12599030,12599031,17747136,12557284,8513733,8513735,12557289,17747144,17826830,17826831,21559391,28830241,31591816,31664398,24168585,17801021,17801020,24168583,22181252,22181253,24179448,24179447,24168940,17801439,254559264,31677465,31686734,254139662,17847337,254282642,8560009,12611345,254281702,12543418,17729456,21716100,21716101,20998796,17794616,254188400,9191283,6016931,6016933,9191291,13441938,18865068,17724404,12539901,8500992,8500991,254280254,5021958,7900459,11822055,16893895,21068423,20192939,14488534,9968839,6551734,6551733,8563653,5560511,3445131,2039860,2039859,3445125,5560503,8487867,8487868,254147104,6016957,9191340,13442033,18759976,18759975,24138566,22312523,16166753,12616203,8563814,8563813,12616202,17819165,23040792,18863550,13440609,254204584,11822900,7901078,7901077,11822898,16894917,23156236,26893250,20012041,14332283,9845567,6466368,4051518,4051519,6466372,9845582,9191917,9191920,7291446,4598004,4598005,7291448,11014472,12623986,14454752,20150217,27042957,33213582,33213583,255168374,20151980,255262310,254978303,20151977,27044457,31578998,24073367,23025809,22665465,16470505,16470506,22665470,17810941,12609304,8558104,8558103,12609302,17810937,255463714,31662903,31662909,26442693,26442691,23796822,17464424,12312344,12312341,17464411,18554148,18554149,254774272,16172139,17779615,12582891,8535513,254353990,17779612,24145946,31655827,255171766,21064258,23797193,17464854,17464853,23341657,17075522,11988323,8039812,8039811,254401256,23341639,21066599,15132279,15132278,15129027,10434890,268201315,28091528,255366459,6807499,4269561,2552677,2552676,254710837 Dl.O(d2) = 256186107,19616433,14057121,9666154,6356245,6356244,9666151,14057116,19616425,16080934,16080933,22212024,29557115,38122529,44504584,44504583,38731371,30607505,30607504,30022313,22649442,22649443,30022317,38051730,29488102,22149784,16030639,16030638,22149782,29488097,22762256,22762255,24157025,17789940,17789941,17789923,16031037,11131195,11131193,16031028,19639866,26373144,34250287,34172576,26304673,19581590,16031174,16031176,14028997,14028995,17106003,17105997,14922630,11782218,11782219,16847960,23105936,23473728,259473867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066777, s2 = 6871378, dlinesl.size( ) = 34 s1 = 11066863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066863, s2 = 11015754, int(edited[s2]) = 0 s1 = 11066863, s2 = 11015754, d1 = 10, d2 = 4 Dl.O(d1) = 255197761,8555592,7742465,7742466,11624146,11563782,11563781,9146615,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,13094341,12980756,8836283,5758039,3585788,3585789,2933408,2933409,4867999,4862232,2929942,2929944,4862240,2935085,2931339,1700151,966559,966561,1700157,2931355,2931437,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808880,4796080,2891024,2891023,2898150,1681603,956391,539059,539057,956384,1681586,2898114,4808730,7601432,6812866,4273260,4273259,2555228,1471854,254219567,4273761,4891203,7604676,7696126,4870642,4870641,7696120,7584473,4797271,267893315,11412951,15021280,254873663,5571629,5571628,8575781,7739882,7696994,4871336,4871335,4805135,2896022,1680530,1471848,955872,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452137,4099212,6543017,9955350,11443504,7609874,4814387,2901368,1683210,1683211,2901371,4814395,4816319,2902451,1683753,1683754,2902456,4812289,2900207,1682631,1682630,2900059,267831897,4809104,4809103,7602010,11433887,16417892,16654019,11621409,11621408,16654016,16411092,11426903,11426904,16411096,11764735,7854570,4985157,4985158,7854577,11757908,11757910,7851828,4983772,4983774,3010442,3010444,4983879,7852048,11760399,11761567,11762756,7853455,7853454,255130091,258192209,259439575,270658464,27270117,257334085,261011239,263526123,153299804 Dl.O(d2) = 140619821,153299800,153299801,262211452,153299800,140619819,127273931,259968402,85473284,268935470,14602505,10047902,6602743,6602744,10047905,8979945,5862877,3660326,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,1457202,825039,465916,465915,825034,1457192,2528516,4228926,6749061,10270273,14933733,20832139,23486870,17203118,17203119,14933717,14933718,20832152,15589321,15589322,21619522,18704820,18704818,20891275,14987590,14987589,15589277,10784314,7125530,7125529,10784308,15589270,17009184,17009185,20842842,21273520,27283406,25422927,20869022,14966815,14966814,20869016,15600362,10792128,10792129,9090264,5946757,5946759,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578411,8584928,6732179,4217872,4217871,6732173,10246145,14902114,17854038,12643925,12643927,254321924,11208307,11208306,16134750,14609717,14609718,17483145,12327055,8327309,254323788,23818140,255365122,256815698,261140049,99343880,258717901,59070225,47670631,37748758,29187641,29187642,37748756,29187640,21875974,21875973,29187637,29187632,21875970,15800759,10948182,7245157,7245155,10948190,256362415,47670662,270829817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066863, s2 = 11015754, dlinesl.size( ) = 2 s1 = 11066863, s2 = 11015754, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11066863, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11066891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066891, s2 = 11149432, int(edited[s2]) = 0 s1 = 11066891, s2 = 11149432, d1 = 19, d2 = 12 Dl.O(d1) = 256956151,29891883,22537127,16362831,11387043,7565075,4783384,2882365,2882364,4783380,7565068,10415753,6866083,4309210,2576662,2576661,4309208,6866079,10415740,15101640,16614587,16614586,12152023,8182452,5252212,3209361,1879684,1879685,3209365,254580273 Dl.O(d2) = 258250543,49925263,61404850,258150532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066891, s2 = 11149432, dlinesl.size( ) = 20 s1 = 13323404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11066993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11067017, s2 = 8249865, int(edited[s2]) = 0 s1 = 11067017, s2 = 8249865, d1 = 24, d2 = 22 Dl.O(d1) = 24213921,17843632,12635843,8579329,5574385,5574386,3458027,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,11625989,11625991,12634123,12634124,17841332,16393448,11409641,7581677,7581675,11409629,10694524,10694525,15466573,21468098,28724799,26646430,24106885,17748122,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089706,8859117,13012086,8976420,8976421,13168435,13168453,9288344,9288343,13566070,18785146,22202442,22202441,29503585,24840968,19656188,19656186,22177878,29520347,28739749,21482130,15478728,15478729,267929354,8199053,5269509,5269507,8199045,12167434,17288454,23601047 Dl.O(d2) = 268417039,22901335,268651921,60205172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11067017, s2 = 8249865, dlinesl.size( ) = 2 s1 = 11067017, s2 = 8249865, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11067017, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 11067285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11067457, s2 = 12252271, int(edited[s2]) = 0 s1 = 11067457, s2 = 12252271, d1 = 1, d2 = 1 Dl.O(d1) = 31822389,40519365,40355751,40355750,50390679,61880354,259532901,272338456 Dl.O(d2) = 31822389,40519365,40355751,40355750,50390679,61880354,259532901,272338456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11067457, s2 = 12252271, dlinesl.size( ) = 2 s1 = 11067457, s2 = 12252271, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11067457, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13465691, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14188205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11826150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11067989, s2 = 10368647, int(edited[s2]) = 0 s1 = 11067989, s2 = 10368647, d1 = 12, d2 = 2 Dl.O(d1) = 256571761 Dl.O(d2) = 57825734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11067989, s2 = 10368647, dlinesl.size( ) = 8 s1 = 11068015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068015, s2 = 11059042, int(edited[s2]) = 0 s1 = 11068015, s2 = 11059042, d1 = 12, d2 = 10 Dl.O(d1) = 32068757,40837359,50967782,62585109,75518740 Dl.O(d2) = 38283096,38283097,38449934,48352032,59735974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068015, s2 = 11059042, dlinesl.size( ) = 14 s1 = 11068059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068059, s2 = 11253352, int(edited[s2]) = 0 s1 = 11068059, s2 = 11253352, d1 = 51, d2 = 25 Dl.O(d1) = 255215607,3607177,2153195,1245566,1245565,2153194,3607176,5786781,254886959,5859949,3658213,254201413,1269985,2101201,1209841,1209840,2101198,3530677,5676700,8721020,8696602,5660538,3655292,2186351,2186350,3530656,5676675,3555591,3555590,5712241,6149293,5859516,5620219,5620218,3520322,3491456,2074011,2074012,2142570,2142571,3593466,5769083,5637923,5637922,8665900,12750598,17989565,13160460,8970504,5856110,3655528,3655523,5856035,5675921,3530198 Dl.O(d2) = 258081243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068059, s2 = 11253352, dlinesl.size( ) = 32 s1 = 14883539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11068573, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11068691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11068769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068769, s2 = 12340086, int(edited[s2]) = 0 s1 = 11068769, s2 = 12340086, d1 = 21, d2 = 56 Dl.O(d1) = 24707039 Dl.O(d2) = 234755456,265905866,265612044,234755456,233694805,232528065,231236537,231236538,231236536,265444214,233504017,274623287,229534954,265243884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068769, s2 = 12340086, dlinesl.size( ) = 42 s1 = 11068831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068831, s2 = 14188288, int(edited[s2]) = 0 s1 = 11068831, s2 = 14188288, d1 = 0, d2 = 0 Dl.O(d1) = 12648601,17861536,24236256,31747180,40441668,50478363,52877650,257811435,59164900,64577793,52677468,42291052,42291051,52677464,52766345,49337327,49337326,42477856,33484259,25710574,19083358,19083359,25710576,33484263,42477864,52881671,64800944,77995190,71903159,71903160,77871255,260124692,52881518,52881517,64800864,64800907,269090891,33484102,25710440,25710441,33484105,29276491,29276489,29573803,22226792,22226794,29573811,38140240,47766118,42624423,33599872,25802835,25802834,33599871,42624422,37843391,29276513,29276514,256912711,33599920,33599921,42624489,256993162,33479911,33609853,42635575,42635577,42635578,47765920,37843373,256708950,20201610,15862038,15862040,21952856,29276684,37843319,255875177,21952704,29276456,37843322,32637433,24967429,24967430,32637436,41523665,47766347,47766346,59165084,47766291,268628299,21952901,21952902,29276763,37843663,47766276,47766275,47766083,37843399,268396299,15861979,15861980,21952750,21952879,29276722,32814220,29276793,29276791,37843694,257492795,59164947,57817832,57817831,58434755,256884990,58168523,64183791,257065904,74008044,87612219,84450521,70893667,58179619,58179618,268074884,38841908,30258313,30258312,29628006,28945352,21666234,21666233,28945351,37487830,47396129,41994406,41994407,52333617,64183793,72890076,255850884,38841138,31976164,31976163,40723235,50827252,52333608,48956396,39034313,39034312,254510116,53198197,65183165,255850880,255850882,30161126,30161127,255562940,50827258,40723246,267997656,59914599,48521257,38606172,30032331,22657743,16464340,11471604,11471605,255046820,30032332,38547723,29978798,23595476,23595475,31078727,39756258,41363185,41363186,256519140,71402591,71493415,58763240,47375869,37469132,28928272,256343059,47375875,47375863,47375861,47375866,47375865,47375879,48521139,51754597,41484313,32605427,24941826,24941827,32605429,41484317,268925312,51754627,47617674,47375815,37469077,256884603,58763193,48521214,48521216,47375927,47375928,58763288,257193014,58464335,47086227,41157626,32342783,256069601,22862190,22862191,30257815,254648134,12950853,8812065,8812066,12950856,18254021,24726841,32342726,24726854,18254033,12950860,12950859,18254029,15757637,15757636,21824994,22862151,30257770,38841380,48760803,48334459,38429640,38429639,41157575,38841415,35354910,27231789,27231790,33269896,25509211,18898715,13467051,13467052,18898717,25509214,25510491,24722140,18248969,18248970,18258112,16335344,11365615,7550958,4775260,2878120,1670382,1670383,2129660,1229089,1229087,2129655,3572846,4823826,4823827,4507263,2708455,2708451,2708604,2708600,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263114,2263117,2263219,2200111,2200109,3675361,2200068,2200069,3675367,2260722,1312132,1312133,2260726,3773196,6031361,9212440,12958431,12958432,18249576,24722645,18902260,18902261,268142444,21354516,21354515,28584880,24722649,24722648,25336677,25336676,32342945,256122656,32338740,24722621,24722622,32338743,33272892,33272893,42252346,41154819,32339798,32339799,41154822,51339870,52107621,63023544,51342768,41157749,32342944,32342943,255659732,63023542,60154588,48760797,38841367,30257748,268650605,48760796,52637565,254919006,33272879,42252332,49762351,39743691,31065684,31065685,32872281,41793470,52107613,48500247,48500246,41154144,41154145,37469043,28928206,21651437,15617324,255417395,28928202,32338950,24722799,24722800,32338954,37469010,47375760,255659678,32338986,24722830,24722829,30013083,22641360,18249705,12946761,12946762,18249708,24722756,32338894,41154095,33111442,28928219,21651442,21651441,28928216,37469052,32338927,28928228,21651447,15617330,10805510,10805511,15617332,21651427,28928187,37469021,47375773,258397290,269075086,41154193,32338997,24722846,18249750,17600284,268142430,31436224,23945340,17600269,16527784,16527783,22733560,30114189,30797400,23370854,17102137,12016465,255147231,23370856,30797403,31436226,23945341,255571453,17600211,23945272,31436154,40114658,38689952,30114060,22733445,16527713,11519066,7662592,7662591,11519059,16527701,20265579,27189497,33124908,25388620,18802573,13394477,9157048,5992967 Dl.O(d2) = 12648601,17861536,24236256,31747180,40441668,50478363,52877650,257811435,59164900,64577793,52677468,42291052,42291051,52677464,52766345,49337327,49337326,42477856,33484259,25710574,19083358,19083359,25710576,33484263,42477864,52881671,64800944,77995190,71903159,71903160,77871255,260124692,52881518,52881517,64800864,64800907,269090891,33484102,25710440,25710441,33484105,29276491,29276489,29573803,22226792,22226794,29573811,38140240,47766118,42624423,33599872,25802835,25802834,33599871,42624422,37843391,29276513,29276514,256912711,33599920,33599921,42624489,256993162,33479911,33609853,42635575,42635577,42635578,47765920,37843373,256708950,20201610,15862038,15862040,21952856,29276684,37843319,255875177,21952704,29276456,37843322,32637433,24967429,24967430,32637436,41523665,47766347,47766346,59165084,47766291,268628299,21952901,21952902,29276763,37843663,47766276,47766275,47766083,37843399,268396299,15861979,15861980,21952750,21952879,29276722,32814220,29276793,29276791,37843694,257492795,59164947,57817832,57817831,58434755,256884990,58168523,64183791,257065904,74008044,87612219,84450521,70893667,58179619,58179618,268074884,38841908,30258313,30258312,29628006,28945352,21666234,21666233,28945351,37487830,47396129,41994406,41994407,52333617,64183793,72890076,255850884,38841138,31976164,31976163,40723235,50827252,52333608,48956396,39034313,39034312,254510116,53198197,65183165,255850880,255850882,30161126,30161127,255562940,50827258,40723246,267997656,59914599,48521257,38606172,30032331,22657743,16464340,11471604,11471605,255046820,30032332,38547723,29978798,23595476,23595475,31078727,39756258,41363185,41363186,256519140,71402591,71493415,58763240,47375869,37469132,28928272,256343059,47375875,47375863,47375861,47375866,47375865,47375879,48521139,51754597,41484313,32605427,24941826,24941827,32605429,41484317,268925312,51754627,47617674,47375815,37469077,256884603,58763193,48521214,48521216,47375927,47375928,58763288,257193014,58464335,47086227,41157626,32342783,256069601,22862190,22862191,30257815,254648134,12950853,8812065,8812066,12950856,18254021,24726841,32342726,24726854,18254033,12950860,12950859,18254029,15757637,15757636,21824994,22862151,30257770,38841380,48760803,48334459,38429640,38429639,41157575,38841415,35354910,27231789,27231790,33269896,25509211,18898715,13467051,13467052,18898717,25509214,25510491,24722140,18248969,18248970,18258112,16335344,11365615,7550958,4775260,2878120,1670382,1670383,2129660,1229089,1229087,2129655,3572846,4823826,4823827,4507263,2708455,2708451,2708604,2708600,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263114,2263117,2263219,2200111,2200109,3675361,2200068,2200069,3675367,2260722,1312132,1312133,2260726,3773196,6031361,9212440,12958431,12958432,18249576,24722645,18902260,18902261,268142444,21354516,21354515,28584880,24722649,24722648,25336677,25336676,32342945,256122656,32338740,24722621,24722622,32338743,33272892,33272893,42252346,41154819,32339798,32339799,41154822,51339870,52107621,63023544,51342768,41157749,32342944,32342943,255659732,63023542,60154588,48760797,38841367,30257748,268650605,48760796,52637565,254919006,33272879,42252332,49762351,39743691,31065684,31065685,32872281,41793470,52107613,48500247,48500246,41154144,41154145,37469043,28928206,21651437,15617324,255417395,28928202,32338950,24722799,24722800,32338954,37469010,47375760,255659678,32338986,24722830,24722829,30013083,22641360,18249705,12946761,12946762,18249708,24722756,32338894,41154095,33111442,28928219,21651442,21651441,28928216,37469052,32338927,28928228,21651447,15617330,10805510,10805511,15617332,21651427,28928187,37469021,47375773,258397290,269075086,41154193,32338997,24722846,18249750,17600284,268142430,31436224,23945340,17600269,16527784,16527783,22733560,30114189,30797400,23370854,17102137,12016465,255147231,23370856,30797403,31436226,23945341,255571453,17600211,23945272,31436154,40114658,38689952,30114060,22733445,16527713,11519066,7662592,7662591,11519059,16527701,20265579,27189497,33124908,25388620,18802573,13394477,9157048,5992967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068831, s2 = 14188288, dlinesl.size( ) = 2 s1 = 11068831, s2 = 14188288, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11068831, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 14188287, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11068833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068833, s2 = 11011900, int(edited[s2]) = 0 s1 = 11068833, s2 = 11011900, d1 = 16, d2 = 0 Dl.O(d1) = 254894462,254630045,3573260 Dl.O(d2) = 1229231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068833, s2 = 11011900, dlinesl.size( ) = 14 s1 = 11068949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068949, s2 = 11168228, int(edited[s2]) = 0 s1 = 11068949, s2 = 11168228, d1 = 9, d2 = 4 Dl.O(d1) = 24746648,24746649,28681285,27266429,20331200,14591019,10040056 Dl.O(d2) = 65396564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068949, s2 = 11168228, dlinesl.size( ) = 14 s1 = 11044956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11068963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068963, s2 = 11069940, int(edited[s2]) = 0 s1 = 11068963, s2 = 11069940, d1 = 11, d2 = 10 Dl.O(d1) = 24749569,256081573,40517851,40517852,50554100,256519614,50554147,40517879,31821151,24304748,24304749,31821153,40517883,50554154,50554178,40517909,257106021,62046797,65308902,65308879,53309453,50988109,40853278,255609218,18078919,18078920,24507371,32081187,24507421,19288537,13789691,9455322,9455321,13789684,19288521,25952670,33760689,31557712,31557713,40243823,50263307,50263296,50263295,41843264,32915743,25202602,25202603,23627370,17311398,17311397,23627368,31113990,30447515,23039784,23039783,267919664,18078889,18078869,12817414,12817416,255215625,8714848,8714849,12817436,18078906,254632640,13228677,12825585,12825587,10629044,7015809,4411406,4411405,4115581,2461708,2461707,254232312,9996389,14527725,268080480,14420227,9918715,9918716,9921730,9919680,6521043,6521041,8720536,9916520,6516979,6516977,4396323,4396324,6995476,10602674,15348461,14421731,9920240,6519893,6519892,4115391,4115392,6569481,9920049,14419863,254689791,254316111,2443590,4084190,6518384,9918342,9126097,9126098,255254617,24653103 Dl.O(d2) = 8720360,254427065,3530375,5676234,8720366,10601981,15347792,21318558,20108798,14419489,9917951,9917952,13158685,13353927,9125969,254442101,1296671,740050,740049,1296669,2235945,3734400,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896152,5896153,9027230,268139351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068963, s2 = 11069940, dlinesl.size( ) = 14 s1 = 13326282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11069053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069053, s2 = 14241974, int(edited[s2]) = 0 s1 = 11069053, s2 = 14241974, d1 = 1, d2 = 1 Dl.O(d1) = 32401270,32401279,32401280,32798829,25098502,25098503,32798831,41716828,52030153,52030151,52030152,63848785,76960326,76960327,81231506,81231507,95289297,109434548,95178388,95178387,108691309,108691310,122956807,122956814,122956818,108691317,94404049,258506837,66923343,80349614,259135705,80349615,257887747,54666829,258506839,54666832,43924327,34651108,34651109,43924330,43924332,34651110,26659752,19845489,254965289,6426972,4032203,2416487,1398937,796303,451386,451387,455904,256982,256981,452561,452523,254152497,2425363,254467981,9847150,14334276,20014509,26896233,34975570,26896211,26896212,34975575,44353225,44353257,256736318,26896227,26896228,34975603,44353266,55203811,67547480,257301954,44353212,38034954,38034956,39902501,49922111,42894573,42894572,48974178,48974179,60369946,52764345,42364835,42364834,43413859,50313253,40292400,33237474,25488224,25488226,33237477,42197961,47948577,55203844,67547567,71549458,71549460,65754510,257740346,43185094,53697031,65754506,64679166 Dl.O(d2) = 32401270,32401279,32401280,32798829,25098502,25098503,32798831,41716828,52030153,52030151,52030152,63848785,76960326,76960327,81231506,81231507,95289297,109434548,95178388,95178387,108691309,108691310,122956807,122956814,122956818,108691317,94404049,258506837,66923343,80349614,259135705,80349615,257887747,54666829,258506839,54666832,43924327,34651108,34651109,43924330,43924332,34651110,26659752,19845489,254965289,6426972,4032203,2416487,1398937,796303,451386,451387,455904,256982,256981,452561,452523,254152497,2425363,254467981,9847150,14334276,20014509,26896233,34975570,26896211,26896212,34975575,44353225,44353257,256736318,26896227,26896228,34975603,44353266,55203811,67547480,257301954,44353212,38034954,38034956,39902501,49922111,42894573,42894572,48974178,48974179,60369946,52764345,42364835,42364834,43413859,50313253,40292400,33237474,25488224,25488226,33237477,42197961,47948577,55203844,67547567,71549458,71549460,65754510,257740346,43185094,53697031,65754506,64679166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069053, s2 = 14241974, dlinesl.size( ) = 2 s1 = 11069053, s2 = 14241974, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11069053, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14241973, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11069109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069109, s2 = 11013632, int(edited[s2]) = 0 s1 = 11069109, s2 = 11013632, d1 = 13, d2 = 16 Dl.O(d1) = 269946325,258420658,257213226,256656966,260658299,263588605 Dl.O(d2) = 161403877,272429241,271608047,256697043,257256590,79088770,255708596,268037246,43280495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069109, s2 = 11013632, dlinesl.size( ) = 8 s1 = 11069325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069325, s2 = 14020631, int(edited[s2]) = 0 s1 = 11069325, s2 = 14020631, d1 = 16, d2 = 15 Dl.O(d1) = 254140710,13051560,8891116,5799856,3617253,2160092,2160095,1282834,733152 Dl.O(d2) = 1285115,1285117,2214505,3697844,254141826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069325, s2 = 14020631, dlinesl.size( ) = 18 s1 = 11069373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069373, s2 = 11086582, int(edited[s2]) = 0 s1 = 11069373, s2 = 11086582, d1 = 6, d2 = 8 Dl.O(d1) = 255462196 Dl.O(d2) = 258128922,28785231,29407012,37970831,47889099,59285517,59285555,59285554,65355596,65355595,58623271,47230357,43417938,40017354,268938595,37970875,47889149,47889148,59285565,258736163,47889141,37970868,37970867,29407046,29407045,29407100,37970863,29407060,22076413,15970735,254764143,4643510,4643509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069373, s2 = 11086582, dlinesl.size( ) = 8 s1 = 11069477, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11069593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069593, s2 = 11070834, int(edited[s2]) = 0 s1 = 11069593, s2 = 11070834, d1 = 12, d2 = 10 Dl.O(d1) = 32631325,32631276,26013479,24962451,18444137,13101903,8929222,8929225,13101911,18444149,256095269,257301526,33229274,25480727,25480728,33229416,42189735,34970895,27093074,20194211,14489549,14489550,20194215,27093080,25480906,25480867,18878663,13453324,9200325,9200326,255263125,25480679,18878528,13453242,13453241,18878525,25480675,33229335,27093085,20194219,20194218,25480893,18878686,13453339,9200335,9200334,13453333,13453332,18878486,13453259,13453258,18878554,18115810,12845727,12845728,18115812,24552603,32133542,32133543,32371223,32371224,32371293,24752911,24752909,20194223,254467796,6552179,4104746,4104748,6552185,9969565,14489568,20194197,20194198,20194264,20194263,27093135,20194276,20194277,27093147,35181952,29423844,22093115,15985485,254473522,29423841,35182195,32371368,24752971,18278218,18278217,24752968,32371363,33443253,33443254,38741912,48663626,59471608,48080954,38168109,33443298,33443297,42436196,52841106,42782251,33751621,33751622,35182148,27093326,20194401,14489680,254684490,27093328,35062128,35062127,40780046,40780045,40911372,32363584,32363585,41179409,51365417,61929592,50439145,50439144,51365358,41179336,32371351,27093333,24205494,24205493,31713115,40405171,44560370,40913621,32135803,32135806,24747136,24747135,32363628,24747082,18273694,12969434,8827697,5751970,5751971,8827701,12969440,18273703,18052873,12798245,8701363,8701362,12798238,18052857,24473339,32036200,32363570,32973116,31795463,24281731,24281730,24554442,18117255,18117256,18273725,24747126,23946587,23946585,31437845,24554479,24554478,26676119,24828644,18335718,13015931,12846808,8736247,8736244,12846799,18117285,24554488,32135854,40913674,42164997,42164996,52523390,257516922,258749900,85807860,98289126,84379990,70821322,58104716,46733298,36850692,255810563,15188345,10476466,10476467,15188347,21139216,16273466,11315712,11315713,16273469,22441598,29808110,38380003,48290655,47319645,38385314,29812833,22445383,16276176,11317696,11317694,268227385,29812826,24377970,17979436,17979435,24377969,31909520,40623810,50681245,257406940,46519488,36652466,36652465,46519483,57874970,70575804,84112024,70575827,70575825,70546559,60143240,257567818,30245610 Dl.O(d2) = 255499858,7720156,7720157,11597564,268650214,268610204,4511351,255049149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069593, s2 = 11070834, dlinesl.size( ) = 8 s1 = 11069597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069597, s2 = 11117718, int(edited[s2]) = 0 s1 = 11069597, s2 = 11117718, d1 = 3, d2 = 8 Dl.O(d1) = 256608937 Dl.O(d2) = 259261434,42015111,33071152,25341421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069597, s2 = 11117718, dlinesl.size( ) = 14 s1 = 13423289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11069939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069939, s2 = 11068964, int(edited[s2]) = 0 s1 = 11069939, s2 = 11068964, d1 = 11, d2 = 3 Dl.O(d1) = 268139350,5856115,3655531,3655530,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085675,6520725,9921349,14170762,14170763,19784093,254442100,12816580,13352703,9124765,9124766,13352705,18753411,25332736,20106502,15876014,11004897,9915174,9915175,9915805,254427064,18077489 Dl.O(d2) = 20024939,255254616,13961639,19505983,18876453,13451523,13451522,18076364,254316110,254689790,25837038,19183754,18753580,13369303,13369302,13699940,15439327,15875371,11004198,9124106,5970471,3733723,3733724,5970445,5970446,9124059,6516370,4083020,4083017,6516363,9915653,14417123,15874168,14416938,14416940,268080481,7284131,4593603,254232313,910875,513847,513846,910871,1601973,2763555,4593572,5774153,3597298,3597300,254632641,13011601,18079125,18079124,24507709,255215624,18864176,24507545,18078999,12817492,267919665,3528709,2100101,2100100,3528707,2100128,1209201,681911,379966,208636,208635,379964,681907,1209191,2100108,3528717,5673056,8714901,12817507,12817590,12038180,8093094,5185005,5185003,5673073,3528792,3528793,5673192,5673198,5673197,8715105,12817783,255609219,32082159,32081557,32081556,40853586,50988485,61489706,257106020,31317204,23827740,23827739,31317018,31317017,36890556,36890555,46768821,52450158,42097206,256519615,31317332,39994026,39994031,256081572,32366621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069939, s2 = 11068964, dlinesl.size( ) = 14 s1 = 11069959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10519986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13327704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13327704, s2 = 15162626, int(edited[s2]) = 0 s1 = 13327704, s2 = 15162626, d1 = 7, d2 = 3 Dl.O(d1) = 52002721 Dl.O(d2) = 51024891 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15162625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11070165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070165, s2 = 483180, int(edited[s2]) = 0 s1 = 11070165, s2 = 483180, d1 = 21, d2 = 18 Dl.O(d1) = 257763541,260844497 Dl.O(d2) = 12296023,12296025,17443521,23772352,257643459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070165, s2 = 483180, dlinesl.size( ) = 22 s1 = 9432050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11070431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070431, s2 = 11657926, int(edited[s2]) = 0 s1 = 11070431, s2 = 11657926, d1 = 27, d2 = 18 Dl.O(d1) = 25195532,32906970,25195534,18633676,13248022,13248024,18633680,25195539,29175786,29175785,37736231,37736230,47657908,59058241,71798956,60073763,60073762,72811068,74115600,74115601,71799057,59058351,47658001,37736303,37736301,256617736,30413750,30413749,31057155,23573460,17262030,12141603,12141605,17262032,16923199,16923198,21634619,23600040,17287447,17287445,17656067,12485374,12485375,12143269,12143270,15908286,15908285,16384393,11403226,7577471,7577472,11403229,8314628,5364992,3298133,3298132,5316299,7086336,254737409,11033579,11033578,8247039,5318737,3267558,1920906,1920905,3267553,5318729,8173186,8173187,8244643,5316318,3265438,267843091,12214185,268251869,29818870,22451313,22451312,29818867,28225523,28225522,21029502,21029503,28225526,36718855,33019794,33019793,29458485,22124299,255448802,11115373,268221311,29458488,25607076,25607077,18994489,13554826,9279780,267862225,2278307,2278306,3803480,6078626,9279778,11713383,7815066,4957721,3164156,3164157,5186518,8095570,5186829,3164387,3164391,5186866,6116432,6116429,9314459,13582559,9300236,6123925,3831541,2295591,2295590,3831538,254660541,254459190,10724805,10724806,15507546,21518617,25710067,25620533,256141397,19103454,268303107,22433802,16266069,13609197,9318803,9318804,255275487,16266724,13646388,13646389,13646392,9344454,9303961,9303962,13564566,9287328,9287327,13564565,14037735,19592183,26317500,25766168,25766169,33504081,33160156,25800885,25620954,25620955,25790924,25751987,19113795,19035801,13587832,13545999,13546003,9332511,6113862,6113861,9333898,13631170,16885236,19089391,13628996,9332519,9332518,13628995,19089386,25682463,23035755,23035754,29798533,38371027,48282181,42482842,33487056,25712285,22711016,255929266,17870862,17870864,24244788,31755321,24243625,17867567,12653009,8590762,8590763,8592110,8592111,12655366,255592227 Dl.O(d2) = 259677637,77923529,64732495,269089241,256143425,254931815,254449711,2284258,2284255,3813312,6094886,9304459,13588722,15201370,13640664,13640663,19105030,19035889,19035892,24248459,30038838,38613563,35044566,35044567,29026489,29026488,24247957,17870988,12655308,12655307,13280910,13280915,18672890,25242717,19060586,13607154,9317497,9317498,13607157,19060589,255036334,28698845,255416031,10794827,7132128,4490136,4490137,7132136,10794839,11310290,15656972,10837839,7164271,4512227,4512231,7164275,10837845,11311702,15656324,17057422,12687647,8618442,254422235,2064208,2064207,3478447,3186152,1864520,1864518,3186148,5222930,5304209,5304208,8232263,12201148,10799606,7135560,4492361,4492360,3267270,254183595,1097212,1920679,1916439,1094543,614461,614462,1094545,1916441,3261400,5311511,8239248,12207649,17332867,23649937,270327432,31137607,23649935,23649936,31137608,39820268,49843808,61326933,259491219,101689123,115733661,129629238,261277053,129629235,260106629,87715609,74109615,74109616,87715611,260106625,115733658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070431, s2 = 11657926, dlinesl.size( ) = 20 s1 = 11070481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070481, s2 = 11147188, int(edited[s2]) = 0 s1 = 11070481, s2 = 11147188, d1 = 3, d2 = 13 Dl.O(d1) = 255614214,16827771,16827770,23080046,23084896,20162345,16829831,15673852,255422339,20175144,14475300,9959672,9414338,9414339,9959952,12717192,8640847,8640848,12717194,17946817,24336809,30495123,33698561,35139414,27053757,27053756,27056267,27055406,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471961,14471198,11768227,7856978,4986767,4986770,7856988,11768248,14464468,20162307,23083668,16830905,11769727,7857928,4987309,4987308,7857923,11769711,16830875,23083629,25892313,20175135,20175136,16828130,11768119,11768121,16828618,16660853,11627871,7745646,4905003,4905001,7745639,9958139,14473123,11627883,7745653,7745654,11627890,16660886,20171131,21324656,15352779,15352778,21324654,28549135,256807734,33190580,28027165,20859853,20859852,26087465,19398203,13875681,9518898,6243038,3908146,3908147,6243042,9518907,256170755 Dl.O(d2) = 258118688,58228054,268400326,24459016,18040379,18040378,24459015,257119475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070481, s2 = 11147188, dlinesl.size( ) = 8 s1 = 11070575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070575, s2 = 11277926, int(edited[s2]) = 0 s1 = 11070575, s2 = 11277926, d1 = 7, d2 = 9 Dl.O(d1) = 256624271 Dl.O(d2) = 259393955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070575, s2 = 11277926, dlinesl.size( ) = 2 s1 = 11070575, s2 = 11277926, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11070575, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 11070607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070607, s2 = 11186260, int(edited[s2]) = 0 s1 = 11070607, s2 = 11186260, d1 = 7, d2 = 5 Dl.O(d1) = 257179485 Dl.O(d2) = 100960914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070607, s2 = 11186260, dlinesl.size( ) = 14 s1 = 11070653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070653, s2 = 11269538, int(edited[s2]) = 0 s1 = 11070653, s2 = 11269538, d1 = 5, d2 = 15 Dl.O(d1) = 25257142 Dl.O(d2) = 35112026,44489010,55334838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070653, s2 = 11269538, dlinesl.size( ) = 20 s1 = 11070833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070833, s2 = 11069594, int(edited[s2]) = 0 s1 = 11070833, s2 = 11069594, d1 = 9, d2 = 13 Dl.O(d1) = 255049148,15315022,268610205,268650215,16625075,11596514,11596513,255499859 Dl.O(d2) = 38826711,257567819,60778773,60778774,57956001,57956003,70674870,57955956,46579428,36693061,28202913,28202914,36693066,257406941,44872490,35433815,27301280,20362162,14615530,14615531,20362163,27301283,268227384,16273276,11315582,7513279,4749485,2862355,1661272,1661273,1661352,1661353,2862497,4749719,7513678,11316227,16274230,20224866,14512966,14512945,14512946,20224844,27130060,255810562,55453255,67795359,81263622,95323297,109578615,113776299,99761969,258749901,257516923,48085990,44359335,44359336,46495569,37506040,32222085,24627545,24627544,22677812,22677814,30053996,32222068,24627535,18174478,12889095,12889093,18174475,24627526,32222058,28452342,23267690,17003753,17003754,22677773,16480797,11483312,11483313,16480802,22677781,22700609,16497139,16497138,22677833,25126569,25126568,28429373,25584968,25584966,31648444,38954137,42016453,36928183,29053070,21758608,15703612,10870849,7187462,7187461,10870845,15703605,15255479,15255477,21225560,26891906,26891905,26891912,20011141,14331589,14331590,20011143,26892351,34971585,34971586,38659265,30082009,30082010,22700661,22700660,26891703,26891704,34970859,34971583,26892344,20011135,14331584,254684491,6466088,9845107,14331583,20011133,26892331,26892330,34971570,30082663,22774861,22774860,29149030,30082555,22700759,16497263,11494273,11494272,16497260,22700755,22700252,16496841,11494211,7644926,7644927,11494214,11494420,7645058,254473523,4102683,6548820,9964405,14482571,14331306,9844927,9844926,14331295,9844913,9844914,9844833,9844832,6465943,4051268,2424546,1402423,1402421,2424540,254467797,9844860,14331219,10011286,10011285,14549592,10011603,10011604,14550015,20278511,27206518,26891892,26891891,26892166,20010996,14331486,9845057,9845051,9845052,14331479,20010988,26892151,26891800,20010668,14331213,9844855,9844856,14331215,20010670,26891802,34971000,32577147,32577148,25480724,18878560,255263124,33229255,33229254,33229577,34970928,26891756,20010639,14331199,9844849,6465925,6465924,9844845,14331193,20010632,26891740,34970889,26891728,20010622,20010623,257301527,256095268,41862348,32930794,25214147,25214144,32344852,32334900,28968661,28968662,24718760,24718759,32334902,40545198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070833, s2 = 11069594, dlinesl.size( ) = 8 s1 = 11070917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11071015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071015, s2 = 11084636, int(edited[s2]) = 0 s1 = 11071015, s2 = 11084636, d1 = 11, d2 = 18 Dl.O(d1) = 33047691,29214470,29214469,37775947,47696920,59095122 Dl.O(d2) = 99364962,85422427,71834918,71834917,71834918,59095116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071015, s2 = 11084636, dlinesl.size( ) = 2 s1 = 11071015, s2 = 11084636, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11071015, Dl.E( ) = 22, 1.5e-05 seconds used appending s1 = 11071117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071117, s2 = 11019200, int(edited[s2]) = 1 s1 = 11071283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071283, s2 = 11135060, int(edited[s2]) = 0 s1 = 11071283, s2 = 11135060, d1 = 9, d2 = 24 Dl.O(d1) = 25370664 Dl.O(d2) = 2947548,2935525,2935521,4871376,7583742,5230529,5230530,8159740,12128260,16435667,255737605,20025500,254677904,22579223,16402463,254311658,7589246,256418305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071283, s2 = 11135060, dlinesl.size( ) = 8 s1 = 11071361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071361, s2 = 12643623, int(edited[s2]) = 0 s1 = 11071361, s2 = 12643623, d1 = 0, d2 = 3 Dl.O(d1) = 25380869,25380870,33116058,42064925,52408653,52408775,52408774,57959049,46582533,36696036,28205440,28168151,21708065,15666172,10845017,8509541,8509524,8509522,255193731,255855445,37537760,47445829,58831867,60565208,49165707 Dl.O(d2) = 258280686,114297280,114951638,260666803,142209878,262299393,159214876,261962265,260857689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071361, s2 = 12643623, dlinesl.size( ) = 2 s1 = 11071361, s2 = 12643623, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11071361, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11071377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11071487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071487, s2 = 14130880, int(edited[s2]) = 0 s1 = 11071487, s2 = 14130880, d1 = 0, d2 = 15 Dl.O(d1) = 33156396 Dl.O(d2) = 105653959,91427192,258400499,64331300,77495765,91427193,105653961,260868045,119893293,105653966,91427197,77495769,64331302,64331301,77495766,91427195,105653964,260868047,261971989,170744730,170744732,262931251,264056643,180884252,263346103,273789213,189777899,262931253,159396394,272373271,133764407,262471233,180884242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071487, s2 = 14130880, dlinesl.size( ) = 14 s1 = 11071599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071599, s2 = 11509676, int(edited[s2]) = 0 s1 = 11071599, s2 = 11509676, d1 = 13, d2 = 11 Dl.O(d1) = 25433877,255683820,13996391,13614533,9322407,9322405,6132646,3836760,3836764,6132657,9362535,13671894,19147233,261469417 Dl.O(d2) = 274049916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071599, s2 = 11509676, dlinesl.size( ) = 14 s1 = 11071691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11071691, s2 = 10993714, int(edited[s2]) = 0 s1 = 11071691, s2 = 10993714, d1 = 82, d2 = 81 Dl.O(d1) = 25453090,25453089,33199805,37898272,29329754,257496897,43251935,34161536,30792872,25283164,25283163,255568457,12386110,256020525,9291517,6104864,6104862,9319516,6104949,6104952,9319658,9350124,13654408,255971617,16982508,11896330,7955138,5059788,254253031,574196,574197,574242,1019000,1787110,1787236,3066050,5059588,7949848,7949846,10425013,6873332,5172894,5172893,4938649,4938650,7789299,7943729,7992991,11876791,11901743,7959793,7959791,254384036,23250143,23341500,22283672,16139881,11212138,7439439,5080235,5080236,5087821,3086937,3086938,5087824,7228225,7228226,10926882,254256068,5054286,3061954,1784836,1017807,1017808,1784840,3061962,5054301,7947643,7171699,7171700,7947665,5054313,5054312,7947502,7947503,11887353,16974630,13409390,11923056,7977175,5076498,5076495,7977169,11870980,11870981,16712537,11670913,7780131,7780129,10846649,7170571,7170572,10846650,11879549,7941616,7941617,11879551,8068288,8068290,12010626,11928649,7982051,7982052,7955552,5060071,3065678,1787024,1787020,3065662,1807032,1807029,3092714,5095177,5058015,3064418,3064417,5057994,5057928,5057926,6000533,6000535,9168069,8027639,8027638,11979665,17068962,16189457,16189456,22337228,23246169,23268041,23243192,16975789,15716332,15716331,18821938,17017135,16979495,11892715,254256340,5070011,3086140,3086141,5086895,7991927,7968330,7968331,11909220,16956374,16996159,11910500,7966981,7966980,11910498,16962074,16962075,17012502,11926890,7980581,5164595,5164596,5058277,3064551,3064548,5058271,7952920,254381056,16962646,16962647,255144912,17005984,16976071,16976070,17522858,16993932,267796564,7965418,11908440,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,7937228,5047511,5047509,3061164,3061167,5052806,7945163,9609244,10834674,7935805,7935800,8185360,5254733,5046376,3056794,1781625,1781624,3056787,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315453,3315162,1950203,1950202,3315141,5391196,7162412,4511031,4511032,7162414,10835225,7954276,5059178,255139665,23247033,30663805,256472796,270354607,260668380,262300666,263945666,273448528,206212672 Dl.O(d2) = 11263534,254531209,4725749,254563255,3068410,1788746,1788747,3068414,5064069,7132361,10795071,254744051,7162888,4725734,2847360,2847359,4725730,5599119,5599118,8613814,12682176,16569567,11550629,7684872,7684871,11550627,16569561,11550620,11550621,12682192,8613835,8613833,8613832,12197612,8228258,5299309,3250185,3250184,5299306,8228256,12197606,255549963,19803316,14185019,9751362,6411695,6411694,4765954,2872980,2872979,4765950,7534205,11337666,268227861,29831120,28558097,21332292,21332291,19799948,254965612,19795697,14179456,14179382,9747740,6409557,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151393,9389346,13708459,17426463,12282659,12282656,17426472,18929485,25542116,29385499,25317710,25317709,22469051,22469050,29836176,38408387,48319146,51658149,63401492,76445318,73380984,73380985,74187746,61408141,49928731,49928730,258250797,61823845,50340913,40315388,31627405,31627407,29624880,29624881,38191585,268146146,33653507,33653508,255265918,37961955,33302950,25540865,25540836,18928306,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597116,34584219,39909543,31233285,23749877,23749878,27211100,29217892,29217891,35333596,27208697,255445066,10012839,6581074,6581075,10012842,14551643,20280572,23749834,23187558,16921225,16921224,12566892,8522040,8522041,12566897,17759136,24120301,30607038,29213549,21899423,21899424,28020644,20853985,20853987,28020651,29392749,22062317,22062302,15957884,11075088,7343642,4638349,2793851,2793850,4638344,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,3013230,1750263,1750264,3013192,4988647,7860085,11772980,15657412,254837394,4512544,4512547,7164346,7164696,4512497,2711517,2711515,1660482,1660483,1637028,930839,893061,503910,282591,156083,156082,282586,503890,503955,282609,282608,503948,893138,1570889,2711712,4512567,4512068,4512069,3660884,2190319,2190320,254111898,4880670,3660856,3660855,5863763,8981503,11312562,255473211,18917248,18917250,255642242,17273217,12152504,8182943,8182944,8517600,12562314,17754157,21637757,15605907,15605908,21637759,28912318,37451912,37950892,47868949,37950895,37950897,32777173,25079827,23008888,23008889,30413602,31026027,25124252,18572232,13197728,8996841,8996840,13197726,18572229,25124247,25122558,255244271,13197535,18572000,25123957,25124117,25124116,32828523,41749196,41749076,32828404,32828405,32828626,25124435,18572348,18572349,18571225,13196987,13196986,18571221,25122952,26964416,20080029,14397169,14397168,20080027,26964414,20919492,20919493,28093932,36564227,32828446,32826881,255644489,13196863,13196865,18571035,25122703,32826662,32826666,32826665,26001435,26001434,23090098,23090099,30504451,39100587,49029572,53323120,52061215,42859695,42859696,41750644,32829877,32829878,33820254,33820253,42861319,42861208,33820127,260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0,16724415,17014573,17036619,11950728,7999730,254382150,11880741,11880740,8353393,5391756,5391755,8353391,8069782,5164043,3146834,1840798,1050495,1050494,1840794,3146826,5164029,7985950,7985949,11885838,7946361,5053457,5053459,5090696,3089395,1804496,1804497,3089398,5090703,7996865,11871083,8209354,8209355,11928808,11213187,7440203,4701236,4701234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11071691, s2 = 10993714, dlinesl.size( ) = 76 s1 = 14514276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13330580, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15200573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16044562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072271, s2 = 12037035, int(edited[s2]) = 0 s1 = 11072271, s2 = 12037035, d1 = 7, d2 = 7 Dl.O(d1) = 255989872,77788624,91716417,105923845,120135874,133977584,147200321,159559542,170887570,181006532,189883887,261858832,167614976,156005522,156005523,167614977,178078125,187315409,261264054,159559530,147200314,147200313,259474562,120135872,116225149,256546264,61774892 Dl.O(d2) = 255989872,77788624,91716417,105923845,120135874,133977584,147200321,159559542,170887570,181006532,189883887,261858832,167614976,156005522,156005523,167614977,178078125,187315409,261264054,159559530,147200314,147200313,259474562,120135872,116225149,256546264,61774892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072271, s2 = 12037035, dlinesl.size( ) = 2 s1 = 11072271, s2 = 12037035, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11072271, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14136017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11827578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11827578, s2 = 14136018, int(edited[s2]) = 0 s1 = 11827578, s2 = 14136018, d1 = 0, d2 = 0 Dl.O(d1) = 147209415,133986924,120145662,105933618,91726129,77798361,64615797,52715486,42328277,33346849,25586782,18978124,13542104,9270600,6072411,3799429,3799421,3799422,254655277,268027543,267933121,13542257,18978120,13542095,13542096,13542094,13542093,9270595,6072408,3799426,2275780,1319711,752835,427616,241360,241361,254113537,1319715,2275784,3799433,6072414,270000552,25586788,33346852,42328281,52715490,64615804,77798365,91726134,105933620,120145665,133986926,147209418,159568400,170896120,181014509,189891404,197545429,204062803,209500293,213961453,217623148,220678743,223278082 Dl.O(d2) = 147209415,133986924,120145662,105933618,91726129,77798361,64615797,52715486,42328277,33346849,25586782,18978124,13542104,9270600,6072411,3799429,3799421,3799422,254655277,268027543,267933121,13542257,18978120,13542095,13542096,13542094,13542093,9270595,6072408,3799426,2275780,1319711,752835,427616,241360,241361,254113537,1319715,2275784,3799433,6072414,270000552,25586788,33346852,42328281,52715490,64615804,77798365,91726134,105933620,120145665,133986926,147209418,159568400,170896120,181014509,189891404,197545429,204062803,209500293,213961453,217623148,220678743,223278082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11827578, s2 = 14136018, dlinesl.size( ) = 2 s1 = 11827578, s2 = 14136018, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11827578, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11072367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072367, s2 = 11265640, int(edited[s2]) = 0 s1 = 11072367, s2 = 11265640, d1 = 21, d2 = 8 Dl.O(d1) = 256656351 Dl.O(d2) = 77861815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072367, s2 = 11265640, dlinesl.size( ) = 26 s1 = 16247626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15222129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072593, s2 = 11012572, int(edited[s2]) = 0 s1 = 11072593, s2 = 11012572, d1 = 6, d2 = 13 Dl.O(d1) = 254302190 Dl.O(d2) = 1358532,1358528,2345243,2345175,2345173,3917842,267862668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072593, s2 = 11012572, dlinesl.size( ) = 14 s1 = 13331246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13331246, s2 = 11125522, int(edited[s2]) = 0 s1 = 13331246, s2 = 11125522, d1 = 18, d2 = 29 Dl.O(d1) = 11830442,15814040,15814039,21889654,16905610,16905608,16905542,11830686,7906248,5025601,5025603,7906252,7035780,7035779,10654893,15414103,10958566,7253405,7253403,10958560,15813420,15814477,15814476,15813329,10958504,10958505,15813333,15414283,10654975,10654979,10959164,10958469,10958470,15813275,15814016,10958904,7253592,7253593,10958905,15814019,21891441,29204652,28641457,21400696,15414193,10654942,7035799,7035800,10654944,15414197,21400704,28641150,21400468,19051500,19051501,25672557,21400972,19051166,13600124,13600122,19051160,25672003 Dl.O(d2) = 39400649,49328892,60730819,73478972,73478973,73478975,73478974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13331246, s2 = 11125522, dlinesl.size( ) = 2 s1 = 13331246, s2 = 11125522, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13331246, Dl.E( ) = 38, 1.62e-05 seconds used appending s1 = 14188520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072801, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13500303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072961, s2 = 11047282, int(edited[s2]) = 0 s1 = 11072961, s2 = 11047282, d1 = 23, d2 = 16 Dl.O(d1) = 269095481,19267669,13771978,9441452,9441451,13771976,19267667,19267718,13772015,9441474,6189181,6189184,9441482,13654230,9349982,6124237,6124238,9349987,13654239,19123995,23873956,17529642,12363572,12363571,17529657,269873681 Dl.O(d2) = 257204976,25927374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072961, s2 = 11047282, dlinesl.size( ) = 34 s1 = 11073017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073017, s2 = 11315944, int(edited[s2]) = 0 s1 = 11073017, s2 = 11315944, d1 = 11, d2 = 17 Dl.O(d1) = 254452288 Dl.O(d2) = 18256408,258968731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073017, s2 = 11315944, dlinesl.size( ) = 12 s1 = 11073049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073049, s2 = 13832330, int(edited[s2]) = 0 s1 = 11073049, s2 = 13832330, d1 = 18, d2 = 42 Dl.O(d1) = 272729396 Dl.O(d2) = 220446075,217340091,213610678,213610677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073049, s2 = 13832330, dlinesl.size( ) = 24 s1 = 13208827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6678233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6678233, s2 = 13430241, int(edited[s2]) = 0 s1 = 6678233, s2 = 13430241, d1 = 142, d2 = 155 Dl.O(d1) = 257234024 Dl.O(d2) = 31333533,23841683,19691109,18401933,13070799,9713624,9713629,13837850,9713654,9713659,14118687,14119433,19692278,26430043,34307907,43409309,53936393,66006974,70402380,70791724,257391180,63815571,76922250,63815582,52000381,52000382,63815585,63815580,52000378,52000379,63815581,76922245,90796884,78385730,78385731,78385734,65101965,53115175,42663182,42663181,53115172,57612315,46267859,46267858,57612314,70302781,257822779,53115210,65101999,53115218,53115217,65101991,61935783,57612312,46267857,46267855,57612310,55194372,44343626,44343627,53115178,65101968,78385737,83827741,70302779,70302778,78385759,78385760,78385742,78385743,65102011,53115223,42663212,42663210,53115222,65102010,75593933,78385766,65102013,53115224,256994874,64326901,75593940,62651355,51025188,40887836,32114265,256576315,31896218,24367851,17971818,12736226,12736225,17971816,24367846,31896208,40605323,50655387,52530924,64404246,62651329,62651328,74975628,74975627,74975669,258642100,74975635,62651364,62651363,75593192,75593193,74975688,62164266,50655415,40605339,40605338,50655413,62164264,74975686,269504377,42173031,33213616,33213617,42173034,257450410,48555386,38640542,38640543,47247181,37337321,28799461,21533397,21533396,256334901,30065841,30065840,38640554,48555406,50018380,50896983,40780700,40780701,50896984,59947595,269784230,38640562,30065845,30065844,38640560,38640571,255929953,22687489,22687490,30065830,256428483,30065855,38640578,38640582,38640581,48555419,48555418,38640579,38640580,48555438,59947608,72686171,72686170,59947556,59947555,72686194,72686193,72686267,86284729,256618996,257173492,38640521,48555355,48555432,38640575,38640576,32805607,32805608,41725854,257552535,59947593,48555421,257552537,31600718,31600720,40285699,47379944,58767221,71496831,62835772,51185767,51185768,62835778,62835780,62835781,52040906,41725851,41725850,257762625,62845343,257136409,41039774,38640524,38640525,48555361,59947510,257721984,59947512,59947513,72686177,64714500,52800645,42401007,42401006,257806853,51185766,51185765,58767213,47379940,47379941,58767216,258699941,71496826,71496825,63860405,62845347,51195800,41039776,32247213,32247214,41039778,257722023,258131700,89582366,258754816,71496827,58767219,47379943,37472773,28931396,28931397,37472775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6678233, s2 = 13430241, dlinesl.size( ) = 136 s1 = 11073459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073459, s2 = 11047760, int(edited[s2]) = 0 s1 = 11073459, s2 = 11047760, d1 = 12, d2 = 13 Dl.O(d1) = 255286455 Dl.O(d2) = 4030984,6160478,3854773,3854775,6160611,6121425,6121428,9345717,9345715,9364813,13674959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073459, s2 = 11047760, dlinesl.size( ) = 20 s1 = 10829596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10829596, s2 = 2397780, int(edited[s2]) = 0 s1 = 10829596, s2 = 2397780, d1 = 23, d2 = 34 Dl.O(d1) = 255479422,21481486,26387060,255709474,9693890,14094193,19125210,254936163,9350795,13475826,13035709,9299306,9288531,6084842,6084845,6092119,6092118,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,9300094,8877943,8877948,6105188,6105190,9320017,13610935,19065450,25689530,33461603 Dl.O(d2) = 3914800,6253164,3914616,3914618,6253177,9530641,9530636,13889654,19414294,19414555,26105538,33940020,33407913,26107679,19416036,19416035,26107672,33942808,256063214,39828497,39828496,49851942,256929280,40404447,31712384,31712383,40404445,50438442,61928862,74722460,257264920,74467687,268524768,257264916,123651899,130035085,259106724,106875488,92556409,78510331,65221437,53232919,53232920,65221440,68228763,68228764,81753595,74113909,269189872,269196708,51079673,51922360,51922361,50109090,50109089,49847844,39823949,31141226,268919226,19280366,256455469,33469478,42462807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10829596, s2 = 2397780, dlinesl.size( ) = 2 s1 = 10829596, s2 = 2397780, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10829596, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 11073539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14188571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10402977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10402977, s2 = 41823, int(edited[s2]) = 0 s1 = 10402977, s2 = 41823, d1 = 169, d2 = 162 Dl.O(d1) = 19295806,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,15235717,10510221,10510222,15235722,21200837,25962235,33771560,26616574,19807645,14188086,9753356,9753355,14188079,19807630,26616550,24149921,24149919,31660349,35357135,27234461,20304988,17888790,12671043,12671044,17888796,24267612,31780147,25104078,25104077,25960987,19295818,19295819,25960991,28422904,25960964,19295802,19295794,19295795,15235238,10510182,10510181,15235640,21200729,21200772,28424010,31778681,24266156,23787063,21200826,15235711,15235712,20305006,21276167,28493045,31660341,24149914,24149915,25962639,19807617,19807616,26616534,31877519,24352581,24352582,31660346,40355303,44781206,35357128,31780121,24267599,24267600,31780126,36920856,40474775,32806119,25104069,25104067,32806117,33769914,35366704,42803554,42801565,33769873,33769874,36921186,28423042,21200719,15235633,15235632,21200715,28423953,27243288,27243287,35366732,34604143,34604142,36922553,28424050,28424049,28423037,28423039,36921182,36922459,36922457,43874480,51876982,54616924,43874489,43874490,40581679,40581678,46800692,46800693,58168161,53257182,53257183,58940515,50510053,40474756,35366796,27243325,20312357,14577181,14577180,20312338,27243284,27243272,27243271,35366708,35366850,35366849,35366874,36920880,28422824,21199929,15235155,15235153,21199925,27243302,20312344,20312343,27243298,35366763,44791094,46800742,46800741,46800642,36922473,28423978,21200737,21200736,28423972,36922466,38053583,47966831,58167879,46800449,46800447,51100783,40958898,32179999,32180000,40958902,44791055,44791056,44791148,35366823,27243340,20312365,14577189,10030768,6592358,6592360,10030774,14577203,20312388,27243377,35366846,35366845,44791174,55698470,51132537,46798665,36920860,28422805,28422806,36920867,36921537,44791077,44791076,55698408,55698473,55698449,50826019,50826020,52302545,41961928,41961926,42992387,33937932,32112490,24535551,18102443,12835259,12835260,18102448,24535559,32112502,40885818,51022864,62648793,60115996,60115995,61256895,63674923,63674921,53236535,51272461,51272460,62946416,52484445,257126174,39759567,31081794 Dl.O(d2) = 13378190,9143905,5983713,3741629,2239958,1298955,741315,741317,1298962,2239970,3741659,4893738,4893739,4367270,4367269,4893746,4865302,2931734,1700352,1700353,2931738,2352298,2352297,3929196,6275187,7683489,4861595,3741504,2239895,1298917,1298918,1295464,739383,739384,955611,955612,1679951,2894818,4802862,7592772,254800907,9119428,11626900,8625160,5608063,3482616,2934100,2934102,2934088,2934086,1714958,1714960,2957618,4906978,5797831,5797830,7744800,4904489,4904490,7744805,7692762,4868225,4868226,7613614,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2232928,1294948,739145,420192,420194,739154,974449,548561,307057,169856,169857,307064,548579,955412,955211,955210,1679145,2893292,4728910,2956123,1714086,973950,973953,1714094,2956140,4904604,7582584,7610255,7738771,7610534,4814811,2901603,1683329,957200,539411,302289,302290,539415,957213,1683362,2896613,1680839,956039,956037,1680829,2896595,1681940,956515,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,2947772,2952188,4898318,7736329,11616967,11414136,11414138,16397622,254915393,9115933,13342426,18742515,16411269,11427060,11427059,11438763,11550999,7685199,4862786,2930266,2930267,4862790,7685206,6471916,4055756,2427665,1404398,799255,453021,255380,255381,453023,799257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10402977, s2 = 41823, dlinesl.size( ) = 2 s1 = 10402977, s2 = 41823, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10402977, Dl.E( ) = 184, 5.82e-05 seconds used appending s1 = 14188580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14188580, s2 = 10140029, int(edited[s2]) = 0 s1 = 14188580, s2 = 10140029, d1 = 12, d2 = 10 Dl.O(d1) = 257114224,24388310,255210583 Dl.O(d2) = 5637453,3503703,3503704,5636895,3503246,2082346,1197238,1197242,2082384,3502966,2082139,2082141,3502973,5636481,8664158,12748487,10902180,10902179,15741677,18212305,255600428,254956267,254462365,2388003,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771921,438483,438482,771961,1353394,2335020,3898795,6227376,9494900,13842005,19228546,17369339,17369341,19826282,14202276,9763048,9763050,9762903,9762904,14202100,13602267,13602265,19054033,17201099,17201100,23484718,19454547,13922084,13922083,17201125,19389761,19389760,19605754,14048349,9659898,6352268,3985777,2388904,2388903,3985774,6352238,6352240,6352378,6352376,6325183,6325180,9626748,14009251,19560333,19606711,26334796,19606710,19584858,14031205,9646486,6342514,6342515,9484507,13828782,19337487,14099936,14099938,19669602,19825724,19669558,14099896,14099895,19606168,19606169,25886831,19226811,13734947,13734946,13737026,19226565,13735064,9411811,9409725,9409724,9411922,9411923,6418807,5855802,3655341,2186382,1268380,1268378,2186377,3655330,5855785,8970012,13159835,9698137,6378530,6378528,9698131,13720574,9398542,6157607,6157606,6378496,6378497,9698092,254512124,6157787,3853006,2308413,1339317,764940,764939,1339309,2308401,3852991,6157352,3852739,3852719,3852717,3852779,3852789,3852785,6157428,9398261,13720239,9411352,9411354,6166257,3858364,2311521,1354155,1354156,1341097,765899,435587,246004,246003,435581,765885,1341033,2311478,3858270,6166064,9411245,13737354,13738113,9411787,9411789,9411805,6352761,6352762,9452944,9452943,9399224,6158073,3853164,2308480,1339342,1339341,2308474,3853151,2336306,1354142,1354143,2336309,3900893,6157306,3889053,3889052,6213406,9476137,9498751,9498752,9500204,9500202,268768987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14188580, s2 = 10140029, dlinesl.size( ) = 2 s1 = 14188580, s2 = 10140029, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14188580, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11073903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073903, s2 = 11220678, int(edited[s2]) = 0 s1 = 11073903, s2 = 11220678, d1 = 11, d2 = 13 Dl.O(d1) = 257244057,258453709 Dl.O(d2) = 78671604,259711955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073903, s2 = 11220678, dlinesl.size( ) = 12 s1 = 15566079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15566079, s2 = 9556102, int(edited[s2]) = 0 s1 = 15566079, s2 = 9556102, d1 = 24, d2 = 15 Dl.O(d1) = 52897450,64819192,78014171,91938440,106135124,120337983,134171936,147385281,152367905,139647158,126276748,112413699,98425004,84503380,70939372,268673710,255997742,28478296,21259780,254582278,6965303,6965307,10529792,15261648,21231370,15295825,10560444,10560443,6966633,6966634,6947516,4365746,4365747,6947519,10534764,6949696,4366999,2616643,1510890,1510889,856809,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198731,8114715,12067697,254596494,17164273,18957954,13521715,9253391,9253390,13521712,18938327,19516947,26233088,22116865,16004010,11110690,11110692,16004013,22116871,268631511,37095640,29450542,22116855,22116856,29450544,38012655,47927040,48654227,60050587,72789246,86385289,100342709,259416018,105976046,91781746,77859244,64669383,52754397,52754396,64669381,77859243,91781744,105976045,120176220,134009306,147226026,159581682,170906989,181023189,189898574,197551652,273503316,204068482,204068483,209505696,209505694,263812116,209505696,213966958 Dl.O(d2) = 264714231,206107832,264183972,262632335,163913444,263076659,163913447,152050784,139345515,125994900,112158536,98195648,84299029,70747017,70747016,270281635,58032621,46659977,46659976,41929293,32988806,25265303,18693841,13300842,9082474,5940383,3714458,3714460,5940389,9082489,13300869,10314098,10314099,14982070,11010525,7288840,7288839,11010523,13225169,9986446,6563662,6563663,7032789,7001961,4400722,2637336,2637337,4400805,7002055,6961235,6961236,7184999,7185000,9250920,12370352,15268998,10538734,10538735,6954597,6954598,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9982879,14507698,15288971,10554254,6960981,6960982,10554258,10697471,10566362,6969296,6969295,10566360,12062317,17158913,268027604,255674216,36967493,28468839,21247669,15281644,15281645,254447506,26647877,19834376,19834375,26647875,34639364,43912782,54655462,66912315,80338840,94393497,91119982,77202860,64061758,52220314,41888998,32953672,25233844,18664942,18664941,14936605,10272661,6750872,4230177,4230179,6750875,10272665,10283972,9076221,9076222,13294165,14978724,16547740,14952987,14952986,10296476,6769364,6769365,6806500,4268857,2552239,1470232,831674,831675,1459386,2532538,4235812,2543459,1465332,1465331,2543457,4254592,6786743,4268808,2552205,1470211,1470210,2552203,4268805,254592933,3304939,3304938,5374628,6802783,4266187,4266186,6802781,254791892,4262017,3714897,2224522,1290305,736531,736533,736643,736708,418794,418793,736724,254202753,3715813,4254469,4254470,6786588,10316491,10280998,10280999,10327824,10279517,10279514,9062292,5925482,5925484,9062298,10300854,14968692,20871033,20949767,15040960,10368213,10353979,254475802,9058124,5922233,5922232,9058121,13273248,18664943,25233846,32953674,41888999,52220315,64061759,259008465,259635825,119575162,133442157,261953689,170393398,175000578,164184856,152301571,139571811,126196489,112335951,98352903,84443142,70885845,58171622,255924264,28427375,21203733,254539884,19652691,14086589,9689195,9689192,14086585,16400198,16400197,22001352,15901488,11023807,11023808,15901493,16241752,11291737,11291735,16241749,12030540,12030542,9689358,9689360,14086863,19650758,14085081,9692500,6375074,6375073,9692495,14092001,19659819,22017661,15916103,15916102,14096523,14096524,11547201,7682436,7682434,11547194,15095257,15237684,15237681,13427590,9180648,6008942,6008943,9180652,13427600,12032638,12032641,17122283,22372393,22372394,17119104,17119103,14084827,14084825,19650333,19656004,14089114,9690668,9690670,14089118,10247445,9690659,6374067,6374068,9690604,14088997,254787316,24821670,26652609,24106198,17747421,17747422,24106027,26384335,30190960,24095121,24095120,30168899,30324038,22923182,19656938,14089839,9691102,9691101,14089835,19656923,26391323,19817697,268329905,34618544,43890071,48578037,59969755,72706849,86303845,100265867,114295870,122291836,107877450,93449311,79318486,65954689,53887965,254784922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15566079, s2 = 9556102, dlinesl.size( ) = 20 s1 = 11074129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074129, s2 = 8157094, int(edited[s2]) = 0 s1 = 11074129, s2 = 8157094, d1 = 25, d2 = 21 Dl.O(d1) = 26115271,269126391 Dl.O(d2) = 257779148,47524634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074129, s2 = 8157094, dlinesl.size( ) = 34 s1 = 11074159, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11074201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14580342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11074523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11074569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074569, s2 = 14120738, int(edited[s2]) = 0 s1 = 11074569, s2 = 14120738, d1 = 43, d2 = 33 Dl.O(d1) = 256080980 Dl.O(d2) = 182559174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074569, s2 = 14120738, dlinesl.size( ) = 72 s1 = 10599811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15384422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11074745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074745, s2 = 11201028, int(edited[s2]) = 0 s1 = 11074745, s2 = 11201028, d1 = 4, d2 = 18 Dl.O(d1) = 26301995 Dl.O(d2) = 257856897,74450654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074745, s2 = 11201028, dlinesl.size( ) = 8 s1 = 11074847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074847, s2 = 16341407, int(edited[s2]) = 0 s1 = 11074847, s2 = 16341407, d1 = 7, d2 = 13 Dl.O(d1) = 259106699,260355497 Dl.O(d2) = 263001451,149421252,161711909,271316616,36830703,28334322,21122526,15174508,15174510,11252204,11252205,16187709,22335155,20008964,15568633,15568634,21595675,17515870,12351785,12351786,15985144,22092661,23859153,22680311,22680309,23861383,26899934,34979325,44356814,40034720,35012520,32851555,32851554,29486438,23401046,17128700,17128701,15227984,15227983,21190869,28412427,21822430,21783509,15724552,11133924,9869745,6483528,4062730,254213982,9869748,14363068,20048851,21824395,15757180,15757181,21824398,29130961,21823931,21823930,29130959,37692696,254315638,17517578,12352951,12352952,17517580,23405504,23405503,28352598,21138603,21138604,21825475,20067473,15542294,15542295,21564103,28835349,29424560,28835341,21781400,21781402,29079374,21826028,15758416,10913294,7217480,4547482,4547486,7217170,4547321,2733583,2733585,4547327,7217178,10912794,15757630,21662368,15626487,10812827,10812828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074847, s2 = 16341407, dlinesl.size( ) = 8 s1 = 11074951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13334798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075181, s2 = 15055346, int(edited[s2]) = 0 s1 = 11075181, s2 = 15055346, d1 = 80, d2 = 33 Dl.O(d1) = 26433269,26433271,34249251,37304887,28771462,26372133,19639034,19639035,19429211,267901642,33961158,43018221,53496441,43163757,268794209,26372100,26372099,34249170,43349215,257434278,71142056,84711961 Dl.O(d2) = 255826878,255030604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075181, s2 = 15055346, dlinesl.size( ) = 78 s1 = 10727466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075329, s2 = 11419496, int(edited[s2]) = 0 s1 = 11075329, s2 = 11419496, d1 = 19, d2 = 22 Dl.O(d1) = 269172661 Dl.O(d2) = 261533837,162081246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075329, s2 = 11419496, dlinesl.size( ) = 24 s1 = 13377625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8110348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8110348, s2 = 2477098, int(edited[s2]) = 0 s1 = 8110348, s2 = 2477098, d1 = 14, d2 = 12 Dl.O(d1) = 268607725,15201691,21157389,28374501,36871193,46750387 Dl.O(d2) = 259133562,257287064,77877558,64688045,64688046,77877557,257885394,256723296,64688045,64688046,77877556,70833572,257287062,257292934,31551982,24048131,19303391,13801991,254666775,6206032,9464800,13801994,19303394,25970025,32749550,37821996,29257001,26673004,26673005,255317376,122971141,256727378,149938224,273049805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8110348, s2 = 2477098, dlinesl.size( ) = 12 s1 = 11075699, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11075861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075861, s2 = 11048562, int(edited[s2]) = 0 s1 = 11075861, s2 = 11048562, d1 = 7, d2 = 2 Dl.O(d1) = 258391132 Dl.O(d2) = 64466,64444,64446,63818,63816,116992,203308,371278,667519,1188157,2069372,3485025,5610979,8628887,8628916,5611002,5611003,8628917,12700961,17925514,18024737,12928935,12928934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075861, s2 = 11048562, dlinesl.size( ) = 12 s1 = 13336092, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14188706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14188706, s2 = 14019555, int(edited[s2]) = 0 s1 = 14188706, s2 = 14019555, d1 = 18, d2 = 32 Dl.O(d1) = 263623440 Dl.O(d2) = 274228823,225339571,227318177,229047123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14188706, s2 = 14019555, dlinesl.size( ) = 14 s1 = 11076273, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11076323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11076323, s2 = 14259584, int(edited[s2]) = 0 s1 = 11076323, s2 = 14259584, d1 = 7, d2 = 3 Dl.O(d1) = 35045308,44419684,55267018,46276215,36423561,27965115,20802788,20802787,27965195,268597633,27968175,20805309,20296752,20296753,15702682,10870216,10870215,15702680,20802784,14908741,10251117,6735629,4220168,2523180,1454021,1454022,2523183,4220176,6735639,10251133,14908762,20802808,27965213,27968174,27968173,35348071,27225036,27225037,20296744,20296743,14910708,14910709,14910722,14908810,10251174,6735666,6735667,10251177,14908814,20802798,14908750,10251124,6736779,4221043,4126912,4126914,6587161,10022499,14565209,14565251,14565250,20296554,20296553,14910692,255356871,20802796,20802782,20802783,27964458,20802129,20802130,27964460,36422846,27965210,20805322,14910713,10252647,6736784,254703399,14910711,14910702,10252643,10252644,14910705,20802864,20296480,14564970,10022334,6587047,267949261,14564966,10957907,7253046,7253045,10957904,15812353,20802857,27965256,27225081,20296571,14908816,10252661,10252605,6736744,6736745,10252607,14910664,14910601,10252547,6736673,6736674,10252549,10252675,6736804,4221058,2523788,1454415,823482,823481,1454413,2523786,4221056,6736792,10022294,14564907,20296409,20296566,20296478,14565049,10022388,6587087,4126876,2468686,1426905,1426904,2468683,4126870,6587081,10022376,10252144,10252143,14909979,20802467,14908464,14908465,14908255,255356667,14908221,14908220,14909761,20804018,21655326,15620458 Dl.O(d2) = 267834179,7772823,10022490,6587152,4126907,4126908,4220764,2523598,2523599,4126931,2468713,1426919,811656,459929,459930,811659,1426922,2468716,4126841,4126842,6587029,6735356,6735357,10250741,14565011,14565012,20296524,14910742,10252685,6736812,254475874,10252542,10252655,6736788,6736789,10022410,6736425,6736427,10252150,254703381,254320853,1454355,1454356,2523706,4220952,6736681,6736380,6735298,6735299,6735326,6735327,10250709,6736384,6736385,6735333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11076323, s2 = 14259584, dlinesl.size( ) = 2 s1 = 11076323, s2 = 14259584, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11076323, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 14259583, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11076375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10503750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10503750, s2 = 11076376, int(edited[s2]) = 0 s1 = 10503750, s2 = 11076376, d1 = 1, d2 = 7 Dl.O(d1) = 258529006 Dl.O(d2) = 53137591,42686754,33656455,33656454,42686751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10503750, s2 = 11076376, dlinesl.size( ) = 2 s1 = 10503750, s2 = 11076376, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10503750, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11076473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11076473, s2 = 11121226, int(edited[s2]) = 0 s1 = 11076473, s2 = 11121226, d1 = 13, d2 = 11 Dl.O(d1) = 35089682,44466090 Dl.O(d2) = 63780818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11076473, s2 = 11121226, dlinesl.size( ) = 2 s1 = 11076473, s2 = 11121226, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11076473, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11076547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11076547, s2 = 11386728, int(edited[s2]) = 0 s1 = 11076547, s2 = 11386728, d1 = 23, d2 = 13 Dl.O(d1) = 35104297,27019178,20128201,20128202,22209270,22209271,29554059,38119168,48032465,39030398,39030397,255456022,67666508,72164230,59425209,59425210,65182655,65182654,71000608,59621807,48234816,48234817,59621812,48571520,38655611,35104401,35104402,44480797,267962614,33014911,41957356,52298340,64150680,77299766,72164878,59425997,59425996,54641327,43898148,36490944,28028614,23034521,16790790,16790791,23034523,30441437,39030402,30441536,30441539,39012051,30422674,256455757,48935442,46269235,36416619,30441432,30441433,33719577,39030356,48952060,48935464,39012070,30422687,23017466,23017464,256455759,48935460,60333327,73073791,75717790,70304409,57613826,53197703,42748803,33719582,33719581,268262628,16777208,16777209,23017461,30422681,23034490,23034491,30441394,38324869,29755263,22394557,16234509,11286477,11286475,16234501,22394546,29755247,38324842,39030455,33014761,33014760,41957182,39030500,30441517,30441518,30441338,255157000,41957332,48952120,48952119,41957141,33014718,25289649,25289650,26376557,26376558,33014956,31716357,24208587,17838557,17838558,255826074,40408575,50442649,52298226,48148149,38238752,29968998,29968999,38534969,41957364,41957229,254730094,25289709,33014802,33507943,42506921,41957285,33014847,33014848,41957287,52298275,52916421,268205980,33014884,25289838,18716798,13323581,9103504,9103503,13323577,18716787,25289819,28606586,37116185,39096474,37116167,254809992,15391679,255031584,4416196,4416197,7022026,10637145,15391688,21372295,21391524,15406845,10649223,7031481,7031480,10649221,15406841,21391519,28630146,37143843,42506877,47002026,42506908,33507932,33507930,34317026,26438308,26438307,34317017,43418348,47640899,41630633,41630634,48174395,41957398,33014946,33014945,260259479 Dl.O(d2) = 127926602,114045521,268487558,59720707,72456698,81219917,81219918,95277493,272184589,258750186,58555443,47166476,47166477,258061321,47728793,257107336,71865559,257690646,113392017,127250670,140596956,153277657,261330736,185324786,185324792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11076547, s2 = 11386728, dlinesl.size( ) = 28 s1 = 11076793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11076793, s2 = 14095941, int(edited[s2]) = 0 s1 = 11076793, s2 = 14095941, d1 = 0, d2 = 13 Dl.O(d1) = 35172447 Dl.O(d2) = 258408695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11076793, s2 = 14095941, dlinesl.size( ) = 18 s1 = 13348763, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11076925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166157, s2 = 11076926, int(edited[s2]) = 0 s1 = 14166157, s2 = 11076926, d1 = 8, d2 = 8 Dl.O(d1) = 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Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166157, s2 = 11076926, dlinesl.size( ) = 2 s1 = 14166157, s2 = 11076926, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14166157, Dl.E( ) = 10, 1.91e-05 seconds used appending s1 = 11076937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11076941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11076941, s2 = 11394186, int(edited[s2]) = 0 s1 = 11076941, s2 = 11394186, d1 = 12, d2 = 9 Dl.O(d1) = 27110971,20209954,20209955,256228917,257320295,259168965 Dl.O(d2) = 262092687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11076941, s2 = 11394186, dlinesl.size( ) = 8 s1 = 11077095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077095, s2 = 14242309, int(edited[s2]) = 0 s1 = 11077095, s2 = 14242309, d1 = 0, d2 = 0 Dl.O(d1) = 255507661,11668987,7778831,7778832,11668990,16709931,16705403,16705402,16705309,16705308,22940885,22119978,22119979,27145937,27145936,22941049,16868481,11799635,7880546,7880543,8046406,5136471,5136473,8046415,9779938,9779934,8508922,6429796,4033835,4033833,4036681,4036682,6008407,6008408,6435075,4036790,4036789,4037209,4037985,6437140,6431011,6431009,9781395,13907184,9544569,9544568,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,6510224,4079572,2440922,2440917,4079560,6510205,9905082,9779106,6429669,4033758,4033757,6429662,9779070,14224951,14224948 Dl.O(d2) = 255507661,11668987,7778831,7778832,11668990,16709931,16705403,16705402,16705309,16705308,22940885,22119978,22119979,27145937,27145936,22941049,16868481,11799635,7880546,7880543,8046406,5136471,5136473,8046415,9779938,9779934,8508922,6429796,4033835,4033833,4036681,4036682,6008407,6008408,6435075,4036790,4036789,4037209,4037985,6437140,6431011,6431009,9781395,13907184,9544569,9544568,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,6510224,4079572,2440922,2440917,4079560,6510205,9905082,9779106,6429669,4033758,4033757,6429662,9779070,14224951,14224948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077095, s2 = 14242309, dlinesl.size( ) = 2 s1 = 11077095, s2 = 14242309, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11077095, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11077179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077179, s2 = 10794384, int(edited[s2]) = 0 s1 = 11077179, s2 = 10794384, d1 = 47, d2 = 79 Dl.O(d1) = 27165922,27165812,20251294,14531788,9999215,6571566,4116671,267872459,20251382,27165911,256759557,257925467,81342273,95391431,95391424,81342267,67875405 Dl.O(d2) = 95391423,109634033,123813574,137529080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077179, s2 = 10794384, dlinesl.size( ) = 70 s1 = 11077269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077269, s2 = 12287150, int(edited[s2]) = 0 s1 = 11077269, s2 = 12287150, d1 = 0, d2 = 12 Dl.O(d1) = 27200784,255399570 Dl.O(d2) = 256270824,38195984,42563395,33546990,33546989,25758182,25758183,33546993,42563398,53003308,258049953,47016563,47016564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077269, s2 = 12287150, dlinesl.size( ) = 14 s1 = 11077343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11077399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11077463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077463, s2 = 15315567, int(edited[s2]) = 0 s1 = 11077463, s2 = 15315567, d1 = 31, d2 = 24 Dl.O(d1) = 27243735,27243738,33370056,33370055,39188516,30590975,23172418,16908651,16908650,22693559,20862631,20862629,26954788,20070499,20070501,22383356,256405179 Dl.O(d2) = 262242729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077463, s2 = 15315567, dlinesl.size( ) = 28 s1 = 11077499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077499, s2 = 10991484, int(edited[s2]) = 0 s1 = 11077499, s2 = 10991484, d1 = 13, d2 = 10 Dl.O(d1) = 35377013,44579828,44579827,55426841,61598475,61598474,55427027,44580027,35201889,27112003,20210865,14502882,9979601,6559284,4109302,4109303,6559286,4109349,2458097,1420963,808364,808362,1420954,2458082,4109330,6559332,9979684,14502480,14502481,20210326,27111410,27110818,20209822,20209820 Dl.O(d2) = 254879406,25157987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077499, s2 = 10991484, dlinesl.size( ) = 14 s1 = 11077541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11077541, s2 = 10756181, int(edited[s2]) = 0 s1 = 11077541, s2 = 10756181, d1 = 31, d2 = 18 Dl.O(d1) = 256766219,55715125,68111537,259182733,109837322,123977155,137659228,150656991,162753194,173754545,183524933 Dl.O(d2) = 162753197,262591539,162753189,150656987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11077541, s2 = 10756181, dlinesl.size( ) = 34 s1 = 13404693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13404693, s2 = 1180792, int(edited[s2]) = 0 s1 = 13404693, s2 = 1180792, d1 = 11, d2 = 9 Dl.O(d1) = 46587171,40185778,31500633,24002368,24002369,31046284,31500628,31500640,38435126,35217448,35217449,44598276,40184019,40184017,31504058,24005497,24005496,31504054,40189006,35217418,27124400,27124401,31080802,31080801,39758492,49777187,61230823,257082632,38571865,38571866,48485055 Dl.O(d2) = 48338888,38435147,29876131,22519085,17260661,17260659,255995369,38571865,30001302,22631817,16444693,11457680,11457681,16444697,22631825,30001316,38571880,269351347,255220260,46720927,255614586,28441247,36869175,28492544,21275750,15314049,10576822,6976860,6976861,10576824,15314053,255822233,23562812,256498741,268520329,26224748,21515816,21515815,28778653,258689429,258234579,58822737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13404693, s2 = 1180792, dlinesl.size( ) = 2 s1 = 13404693, s2 = 1180792, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13404693, Dl.E( ) = 12, 4.77e-06 seconds used appending s1 = 11077573, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11829442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11078015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078015, s2 = 11221886, int(edited[s2]) = 0 s1 = 11078015, s2 = 11221886, d1 = 15, d2 = 13 Dl.O(d1) = 27983308,27983309,28563144,37064764,46943884,55681325,44772449,44772450,47331845,47331822,47331821,58720304,50397979,50397980,256881326 Dl.O(d2) = 22246597,16109295,11189575,7424401,4691587,4691588,7424403,254352427,1640136,254123879,525665,932632,1640134,2826879,4691586,7424396,9042579,5909689,5909690,9042581,13254111,18641075,25204629,31321232,39998693,256520014,257419909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078015, s2 = 11221886, dlinesl.size( ) = 24 s1 = 11078059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078059, s2 = 11205282, int(edited[s2]) = 0 s1 = 11078059, s2 = 11205282, d1 = 11, d2 = 10 Dl.O(d1) = 254202922,13311203,9092277,9092278,13311204,18704341,25276886,27986291,20821526,14923743,10262203,6743534,4226543,2527167,1456463,824638,824639,1456465,1456372,1456376,2526984,254480287,10264153,256806851 Dl.O(d2) = 83861429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078059, s2 = 11205282, dlinesl.size( ) = 14 s1 = 13339808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13339808, s2 = 6944888, int(edited[s2]) = 0 s1 = 13339808, s2 = 6944888, d1 = 31, d2 = 21 Dl.O(d1) = 7402763,11160211,16071536,22200482,24259645,24259644,17882160,17882159,24259650,31771776,40466692,268330016,20883332,20883333,28052174,268903167,31577781,40264923,41961050,33018340,25292605,18718824,13325017,9104492,5957323,5957324,9104496,13325021,18718838,24238025,24238022,21778271,15719202,15719201,21778268,29076165,37626988,47533417,47533416,44599574,37133031,31443563,30661675,23243928,23243929,30661677,39257575,49183485,50143926,50143927,44599569,35218819,27125606,20221074,14510227,14510228,20221077,27125608,35218822,256466010,21855819,255134826,7235033,4560954,2742793,2742794,4560957,7235041,7393753,9411390,9411398,7712459,4881075,4881073,7712450,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,17500861,12681150,12589622,12589623,13738372,12627130,8572814,5568594,3452473,3452474,5568604,8572837,12612909,12252552,12252554,12627087,17450517,12301274,12301275,12233993,8512298,8512300,7629463,4827028,4827025,7629451,10910844,7394030,4671187,2814300,2814298,4671181,7394011,11147909,12280738,12280740,14334664,14334666,17493399,12334361,8332501,5377942,5377945,8332512,12232579,11147632,11147631,16054940,22181274,28752417,21492703,15486750,15486747,12576001,8529318,5527303,5328566,5328565,8259283,5350338,5350337,8293234,12279842,12628639,8574175,8574173,12232685,12555051,8512309,8512311,8510888,8510884,12552717,12555175,17738348,17738352,17753044,17753042,12589766,8541421,8541426,12589764,12589795,17787843,22833184,24182626,24182627,24113910,17753122,17753121,24113907,24100488,24100486,22181818,22181817,17757606,17757604,17780868,12583931,8536497,8536496,12583928,17738702,12551107,8509963,5510262,3398506,2003642,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510971,8511337,12552417,8510727,5510659,267771820,12552419,17740508,254134642,254268774,29886480,25887210,255039220,15668612,15668614,21711000,28995545,37540788,38456284,47448648,38454708,29897733,254782406,11389990,7567198,7567197,11389988,16366890,16359054,16359055,22532203,29886518,29885448,23127583,22532195,22532194,29886510,29886793,38443243,36942625,29885053,22530877,22530879,29885058,30546733,23128446,16868239,254811829,7880416,11799446,16868211,23128406,255917080,23127162,29897519,22541969,16366694,11389889,11389890,16366696,22541973,29897522,38454614,38456923,38454525,30500817,24746934,18273588,12969351,12969350,18273584,24281819,21598203,21598202,28873582,37415142,29899957,29897552,22542015,16366724,11389906,7567157,7567156,11389903,16366720,16366679,16366675,22541942,255097754,20934661,255006297,6818743,6818744,255006299 Dl.O(d2) = 260471535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13339808, s2 = 6944888, dlinesl.size( ) = 2 s1 = 13339808, s2 = 6944888, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13339808, Dl.E( ) = 40, 1.79e-05 seconds used appending s1 = 11078487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11829654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11078563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078563, s2 = 11028058, int(edited[s2]) = 0 s1 = 11078563, s2 = 11028058, d1 = 23, d2 = 21 Dl.O(d1) = 269297027,268648000,37651478,29102415,29102414,29087327,29087323,24467059,24467058,24292070,24292069,23714934,254547128,16083440,22215035,29489437,22150846,16031352,11131375,7383535,7383536,11131378,16031359,22150864,25240390,18670690,18670691,255499172,38825212,261763737,258460670,19028223,13582057,9299897,6092043 Dl.O(d2) = 9300094,12987130,9320036,9320035,13610953,19065472,254938067,1335419,762722,433888,245065,245070,433833,433832,433912,762736,1335368,1335799,254304937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078563, s2 = 11028058, dlinesl.size( ) = 18 s1 = 14619263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14619263, s2 = 13238798, int(edited[s2]) = 0 s1 = 14619263, s2 = 13238798, d1 = 35, d2 = 32 Dl.O(d1) = 15019253,15019254,20927278,268373211,15019251,10346998,6812516,4273049,267784877,832422,1471671,2554862,4273060,3721926,2228565,1292460,1292461,2228570,3721934,5951504,5951506,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6850506,6850505,255372727,15073892,10396818,6853379,4300962,4300963,4300976,4300975,6853394,10396828,11667883,8473704,5477426,3370621,1983436,1983434,3370615,5477416,4263771,4263772,6748119,6748120,6790085,7272601,9062153,9062152,9095447,9058049,9058050,11668561,11668560,16709298,19002529,25616342,33382159,268098510,64684704,60429222,49025610,39096659,30500662,23087057,254087504,7863778,7863777,4995539,3018259,3018257,4995536,7869490,10425262,11787467,11787468,11789182,7872230,4997601,4997602,7872233,7871060,7870056,7866534,4993325,4993326,7866540,254556994,17436383,16837603,11774510,11774509,16837601,17436332,12290215,11779531,7864920,4992335,4992336,7864924,11779538,15114677,21042398,16849159,11783219,11783124,11783125,11785580,11783072,7867332,7867333,8300180,6873589,4314831,2580498,2580501,3017166,1753229,997426,997425,1753224,3017152,4993930,7867391,10728963,10425503,10425502,10425644,11784482,16850692,17436277,21042741,23098139,16842676,11778572,7864228,4991751,267793509,267768151,996567,1752081,3015600,4991757,7864241,11778597,16842716,21872447,29183399,37744261,37930163,37930164,47850378,46657443,46657442,46440279,36575166,28103415,20927285,15019257,15019258,20927286,28103416,36575168,46440282,57795637,55391653,257317487,44544357,55391655,67731901,81197348,95253497,109507803,123699777,258639852,150467400,150682433,137686812,124005453,109866341,109866342,256287490,150682438,153624921,140958679,140958678,140958676,127609459,113740938,99726743,99726742,113740941,99726741,85772890,85772891,72178573,59440127,48048341,38134910,29568769,22222279,22222280,29568771,38134914,48048342,268949306,48378081,38475875,29916952,22558842,22558841,255918727,16380447,11400255,11400254,16380446,21961788,21961789,29287847,29916955,29916954,38134904,48048331,59440117 Dl.O(d2) = 2135891,3583989,5755417,8832336,8832337,12975411,18281429,24757141,32376251,33606183,25808327,25808328,33547537,25758779,19120086,13651335,9347952,6122862,3830832,3830833,6122866,9347955,13651339,19120088,255301964,34261787,26383938,19649384,19649383,26383934,34261782,43361762,51386090,41195282,32376299,24757188,18281470,18281472,13682186,9369769,9369770,13682182,255301910,26123619,19429391,14084114,9687735,9687736,14084116,267940524,34261789,43018362,33961301,255301914,255704757,33961303,256700856,43018400,256688122,60074348,60074349,63075205,51386371,41195652,32376693,24757580,24757578,24757444,18281749,12975678,8832564,8832386,8832389,8832228,5755299,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135895,3583995,3583931,2135893,2135897,3584010,5755462,8832519,9496120,254479902,15587306,12966089,12966091,18269723,24742757,28916543,254481102,22724273,22770052,16556019,16556018,22770050,30158210,268373092,47015244,37127912,37127911,47015242,51113986,47015084,255098050,28835702,254536542,47285332,58676550,71410638,71333464,58601149,47211296,37304690,37304691,47211298,255841392,74286209,73067179,60326054,48927376,39003344,39003343,48927375,60326051,73067176,86672562,86592458,86592459,100554225,112854487,98866514,84939592,71362880,71362881,84939593,98422668,84500989,70936849,58219604,46851744,36973014,36973015,46851746,58219607,70936853,67682894,55343128,44496785,44496784,257913197,67682893,58440108,47064421,37172373,28654710,21411597,21411596,28654708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14619263, s2 = 13238798, dlinesl.size( ) = 2 s1 = 14619263, s2 = 13238798, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14619263, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 16348635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11078775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078775, s2 = 12995791, int(edited[s2]) = 0 s1 = 11078775, s2 = 12995791, d1 = 13, d2 = 1 Dl.O(d1) = 36593875,46460124,258010673,259261809,111857500,125673363,259880770,126719130,112867877,98880659,98880660,112867880,126719134,140066124,261061542,262086418,262086416,263029568,205530315 Dl.O(d2) = 174435861,174435862,174435864,163595157,260993256,261556336,184088967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078775, s2 = 12995791, dlinesl.size( ) = 14 s1 = 13340398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11078907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078907, s2 = 11433120, int(edited[s2]) = 0 s1 = 11078907, s2 = 11433120, d1 = 11, d2 = 13 Dl.O(d1) = 257402763 Dl.O(d2) = 261064671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078907, s2 = 11433120, dlinesl.size( ) = 18 s1 = 11079123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079123, s2 = 11444668, int(edited[s2]) = 0 s1 = 11079123, s2 = 11444668, d1 = 76, d2 = 28 Dl.O(d1) = 36700209,269302529,259023965 Dl.O(d2) = 211330361,264872788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079123, s2 = 11444668, dlinesl.size( ) = 92 s1 = 16340827, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11079343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079343, s2 = 11054184, int(edited[s2]) = 0 s1 = 11079343, s2 = 11054184, d1 = 15, d2 = 12 Dl.O(d1) = 257412659,70739892,72361367,70469848,70469847,84003424,72204869,59467178,257506104,38163705 Dl.O(d2) = 85799022,77354623,73076582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079343, s2 = 11054184, dlinesl.size( ) = 18 s1 = 11079363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079363, s2 = 11464386, int(edited[s2]) = 0 s1 = 11079363, s2 = 11464386, d1 = 77, d2 = 83 Dl.O(d1) = 28281007,21076105,15139192,15139191,254321682,9079504,5938085,3712977,3712976,5938081,9079495,13297633,17879753,12663454,12663452,17879750,17879865,12663546,10291647,7660984,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846776,7660488,11516026,16523952,12411041,12411040,14606386,10050671,6604439,4137208,2474665,1430368,1430369,2474669,4137221,6604476,10050731,14606475,20349766,27283748 Dl.O(d2) = 274625457,229619947,227983775,265833730,215212468,264945019,264709342,219734525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079363, s2 = 11464386, dlinesl.size( ) = 8 s1 = 11079373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079373, s2 = 11377508, int(edited[s2]) = 0 s1 = 11079373, s2 = 11377508, d1 = 16, d2 = 15 Dl.O(d1) = 28286395,21080383,15142125,15142126,21080384,255059564,46669832,46649663,36764562,36764542,28269452,21066943,21066942,25303359,28867053,28310835,21100730,256835917,58064312,259276725 Dl.O(d2) = 139452558,152176538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079373, s2 = 11377508, dlinesl.size( ) = 18 s1 = 11079399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11079593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079593, s2 = 11408142, int(edited[s2]) = 0 s1 = 11079593, s2 = 11408142, d1 = 13, d2 = 6 Dl.O(d1) = 256598496,25736911,25736910,257516175,257151258,258978571 Dl.O(d2) = 157763050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079593, s2 = 11408142, dlinesl.size( ) = 8 s1 = 11079605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079605, s2 = 11032780, int(edited[s2]) = 0 s1 = 11079605, s2 = 11032780, d1 = 9, d2 = 6 Dl.O(d1) = 255381175 Dl.O(d2) = 21122175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079605, s2 = 11032780, dlinesl.size( ) = 14 s1 = 13341666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13341666, s2 = 10343687, int(edited[s2]) = 0 s1 = 13341666, s2 = 10343687, d1 = 13, d2 = 19 Dl.O(d1) = 16797917,16797918,21302585,23047997,23047998,23910691,25578853,33330430,42310777,35126952,27039911,20146954,20146953,20827762,23700722,17378438,17378439,12260018,8279722,8279721,12260016,17397099,23720963,24005387,24005388,23705101,23705102,23725563,23725564,268538702,21935092,255389658,21036186,21129693,21129692,22879193,22879194,28334192,28334194,31216954,31216953,31725461 Dl.O(d2) = 36830589,254682034,26647486,19833960,19833959,26647483,31672941,31672944,31477229,31477230,36645039,36645040,39869944,31672940,24163239,17795532,17795531,257677603,74687176,259534055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13341666, s2 = 10343687, dlinesl.size( ) = 8 s1 = 13327375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13342138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11079973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079973, s2 = 11240392, int(edited[s2]) = 0 s1 = 11079973, s2 = 11240392, d1 = 11, d2 = 9 Dl.O(d1) = 256843361 Dl.O(d2) = 88166589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079973, s2 = 11240392, dlinesl.size( ) = 14 s1 = 11080005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080005, s2 = 11186316, int(edited[s2]) = 0 s1 = 11080005, s2 = 11186316, d1 = 19, d2 = 15 Dl.O(d1) = 254756242,15230831,12159967,8190334,8190333,12159902,8190414,5259779,3215294,3215295,5259781,254835875,17280970,21624706,28899815,31749094,268450412,256431533,255786892,255000072,13586955,13586958,14586477,10036713,6595881,6595879,10036702,14586457,16521638,16521637,16979958,16979960,13297455,9079318,9079317,13297459,12685592,12685594,10419710,10419713,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,4846943,6585712,9099070,13318753,18712049,14990018,10321141,6790523,4257346,2545156,2545157,4257347,6790526,10321149,11923455,11923456,14975588,10308002,10308001,14975587,20877309,20877308,20855532,20855531,19099677,13636315,13636316,16514228,14928280,10265338,6745370,6745373,7933712,10046649,6602041,6602042,10046640,14600353,11270207,7481395,7481397,11270215,15249992,10520532,10520533,10274486,10274487,11515496,7660130,7660131,11515500,254707914,6837413,10376577,14601350,20343790,22772287,16557886,11541329,7678312,4858483,4858482,7678307,8240106,8240108,12208741,17334154,20913164,15008011,15008009 Dl.O(d2) = 36555386,46418591,48735623,38815296,30232065,30232066,38815297,257566573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080005, s2 = 11186316, dlinesl.size( ) = 14 s1 = 14188982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14188982, s2 = 10996690, int(edited[s2]) = 0 s1 = 14188982, s2 = 10996690, d1 = 5, d2 = 0 Dl.O(d1) = 267861860,17413163,23737993,21266876,15305213,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,12375012,11748406,11748404,12064341,12064343,12258003,12258004,16177926,11747889,7843585,4978876,3007566,3007567,4978880,7843592,11747898,15263149,10531046,10531048,12278846,255023458,39906718,49926154,61405686,257425964,258660296 Dl.O(d2) = 59363584,47973103,38060973,255889275,16038217,11136144,7386498,4666454,2811318,254350513,254766337,16038230,22159367,22832148,255940790,46797453,38804240,30220594,22830323,16609128,11584128,11584129,16609131,22646878,16456077,11465771,7626430,7626431,11465772,16456079,22646880,23628759,31115386,39796006,255492258,16991085,11905783,7963294,5065973,5065974,7963295,7961820,5071964,3075194,1794097,1023528,576734,322710,322709,576731,1023523,1794091,3075188,1801392,1028159,1028157,1801385,1805206,3071243,5067306,5095355,5048296,5048295,3079293,1796973,1796972,267795073,1804252,3089085,3091993,1806459,267795145,3092020,3067415,1788143,1019558,574514,321588,177820,97918,97919,177824,321598,574531,1019582,1788177,1806378,3076879,1806382,1806383,1789321,1789322,3069132,3070000,1789958,1789957,3069995,3084468,3084466,5084830,5048412,5043821,3054267,1802632,1802634,1782659,1016582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14188982, s2 = 10996690, dlinesl.size( ) = 2 s1 = 14188982, s2 = 10996690, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14188982, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11830278, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11080223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080223, s2 = 10419870, int(edited[s2]) = 0 s1 = 11080223, s2 = 10419870, d1 = 23, d2 = 8 Dl.O(d1) = 255838222,256870974,258061554 Dl.O(d2) = 154154371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080223, s2 = 10419870, dlinesl.size( ) = 22 s1 = 13342604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11080437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080437, s2 = 11122898, int(edited[s2]) = 0 s1 = 11080437, s2 = 11122898, d1 = 2, d2 = 11 Dl.O(d1) = 28493954 Dl.O(d2) = 46869999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080437, s2 = 11122898, dlinesl.size( ) = 8 s1 = 14542605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2365805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2365805, s2 = 14542606, int(edited[s2]) = 0 s1 = 2365805, s2 = 14542606, d1 = 13, d2 = 14 Dl.O(d1) = 64211894 Dl.O(d2) = 421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,3850171,3850176,6153411,9392773,13713553,255284351,25354613,18772452,13368418,13368419,18772454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2365805, s2 = 14542606, dlinesl.size( ) = 2 s1 = 2365805, s2 = 14542606, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 2365805, Dl.E( ) = 22, 1.69e-05 seconds used appending s1 = 14097525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097525, s2 = 13452296, int(edited[s2]) = 0 s1 = 14097525, s2 = 13452296, d1 = 13, d2 = 3 Dl.O(d1) = 258873417 Dl.O(d2) = 51181539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097525, s2 = 13452296, dlinesl.size( ) = 2 s1 = 14097525, s2 = 13452296, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14097525, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11081225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081225, s2 = 11431370, int(edited[s2]) = 0 s1 = 11081225, s2 = 11431370, d1 = 0, d2 = 3 Dl.O(d1) = 28636013,268613017 Dl.O(d2) = 261102315,262655689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11081225, s2 = 11431370, dlinesl.size( ) = 12 s1 = 14064861, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11081273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081273, s2 = 9167666, int(edited[s2]) = 1 s1 = 16285059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11081759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081759, s2 = 11130976, int(edited[s2]) = 0 s1 = 11081759, s2 = 11130976, d1 = 9, d2 = 14 Dl.O(d1) = 28738981,21481330,17282725,254544498 Dl.O(d2) = 264195946,263120830,259954722,85202554,260277726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11081759, s2 = 11130976, dlinesl.size( ) = 8 s1 = 13344914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13344914, s2 = 7194480, int(edited[s2]) = 0 s1 = 13344914, s2 = 7194480, d1 = 49, d2 = 37 Dl.O(d1) = 47238668,37328932,256875551,28800397,21534159,15519654,10733504,10733505,15519605,10733469,10733468,10733495,15519632,10733488,10733489,15519635,21527246,28791909,37328946,28791912,28791911,21534080,21534079,28800292,37338267,47248156,49076402,49076403,58641252,47248167,47248168,58641253,58641239,58641238,58641286,58641304,47248226,47248227,58641305,47248231,47248230 Dl.O(d2) = 263853379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13344914, s2 = 7194480, dlinesl.size( ) = 26 s1 = 11082035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082035, s2 = 11047506, int(edited[s2]) = 0 s1 = 11082035, s2 = 11047506, d1 = 21, d2 = 4 Dl.O(d1) = 257456821 Dl.O(d2) = 112869455,271819090,259417066,61370334,269510908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082035, s2 = 11047506, dlinesl.size( ) = 32 s1 = 11082199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11082293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082293, s2 = 14352403, int(edited[s2]) = 0 s1 = 11082293, s2 = 14352403, d1 = 33, d2 = 54 Dl.O(d1) = 28859824,21586247,21586246,28859822,37401098,47310482,58700527,71433010,71433008,58700526,58700524,71433006,258070787,47310474,47310475,58700520,71432993,58700516,58700517,71432995,85006670,98932667 Dl.O(d2) = 48514355,38599725,30026883,30026882,256968577,59907634,63444521,63444520,70748614,84300384,95140987,95140986,109395153,98196709,84300375,70748609,59907637,59907636,72648312,86249747,100216907,114250843,260501506,100216909,114250845,272223493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082293, s2 = 14352403, dlinesl.size( ) = 2 s1 = 11082293, s2 = 14352403, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11082293, Dl.E( ) = 68, 2.22e-05 seconds used appending s1 = 13413509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11082369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082369, s2 = 11030434, int(edited[s2]) = 0 s1 = 11082369, s2 = 11030434, d1 = 3, d2 = 6 Dl.O(d1) = 28871331 Dl.O(d2) = 255185959,8435417,5446246,5446248,8432651,8432652,12463944,17639690,23982512,17636128,12459363,8427988,5440397,5440398,8409580,12441256,12451971,8420288,5434534,5434533,8420285,5457694,3355363,3355366,5456230,5456229,8422731,8439752,8439751,12470614,12473603,12473602,8451814,8451813,8423720,5437131,3342432,3342434,5437137,8423731,8423550,8423548,8316858,8316857,12312890,8429149,8429151,8426308,5439096,3343570,3343569,5439094,8426303,7486419,7486420,8415396,5430930,3338520,1963284,1963285,1962077,1962078,3336251,1963815,1963817,3339506,5432520,8417577,12449243,17628479,12463554,12461262,267782666,3345494,3345495,5442079,8430082,12461264,12442326,254598477,5427551,8410721,254601467,3352333,1970794,1970797,3352343,5445342,3347534,3347535,5445348,5445332,5445329,8434382,255186929,12472376,8443477,8443420,8443419,12456948,8427568,8424542,8424543,12456239,12452165,12452167,8452022,8452024,12192302,8222600,5292763,3244060,1903907,1903906,267842369,8222581,8421374,8568230,12622033,17826550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082369, s2 = 11030434, dlinesl.size( ) = 8 s1 = 14165449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14165449, s2 = 11046450, int(edited[s2]) = 0 s1 = 14165449, s2 = 11046450, d1 = 16, d2 = 18 Dl.O(d1) = 167745965,167745966,167745963,156143859,143609678,143609677,156143857,159589091,156143855,143609674,134017194,134017193,147233807,159589092,272577162,134017196,120184190,105983854,91789205,77866605,77866604,64676537,257552612,33372960,33372959,27145796,255488816,14521238,255131794,27150958,255516338,255131792,20242350,20242351,255516336,20236930,14521476,14521475,20236928,20236737,14521328,9991893,6566949,4113883,2972868,2972867,4928638,6567814,9993359,14523668,16705323,16705322,22940903,20104260,18924701,18924700,25536313,30334330,22933506,22933507,255951035,22938372,255124007,7777482,4929087,2973175,1725389,980919,980918,1725387,254368725,7777469,7777533,4929121,4288907,4288906,254713829,7774578,11663885,16703968,254151110,19572533,26294716,34162551,254462258,34162547,26294710,26294711,19597009,14041622,14041621,19597007,26323489,254956076,21728672,15682031,10856607,10856608,14042627,9655442,9655441,14042307,14042306,19597934,21729006,15682271,10856768,10856767,15682270,14042630,14042629,19598335,21728781,15682122,10856672,10856671,7177808,4521599,2717778,1574807,254121409,283169,283168,505085,895377,1574796,2717761,4521572,7177769,10856721,15682184,255304360,37563773,47087936,58466046,49427329,39496094,39496093,49427328,60829601,50995154,40861545,32090750,24516879,24516878,30889027,256580409,32169421,40948837,39118373,30520667,23103797,18139893,254889337,8747922,12863304,18139889,24583644,32169435,40948941,51092301,50994134,40860402,32089657,32089656,32169443,24583654,18139895,18139897,24583664,32169452,32293043,39496271,39496270,40861056,32090313,24516557,18086091,18086092,24516561,32090320,40861068,39496264,39496263,32169351,24583565,18139836,18139835,24583561,32169342,39496105,39496103,49427340,49427497,47470488,37563592,37563591,42454190,42454191,52858057,58785717,47397647,47397648,58785718,255989910,47397650,47397649,48568595,38652869,30076231,22695527,22695528,30076233,38652873,48568604,59960836,59960882,59960883,72698897,71983233,71983232,63020063,63020062,76003467,89780873,100259568,86296671,72698874,59965536,59965537,72702896,86300059,72702890,59965526,48573578,48573577,59965524,257398858,59960825,48568598,48568599,59960828,59965510,72702872,63272664,51554320,41331601,41331600,256820708,65311227,58854671,47470547,37563658,37563659,47470549,58854675,61317812,49834834,39811658,31129516,31129515,39811656,49834829,61317806,72698936,62856583,258335191,89602165,100259586,100259587,104241898,90108484,76294238,63272659,63272660,76294240,72698915,72698916,86296708,87706740,74100810,259490609,101000557,87006816,73391265,60644563,49243764,49243765,49243781,39316630,30718116,256477407,49243785,258210251,71413458,71413456,84987435,75820232,73377746,60631406,60631405,256814398,100986083,87006823,86409309,72814246,72814247,62856580,60631439,49230148,39303060,30705242,256476305,49230144,60631433,73377769,84987446,84987445,98912925,98875217,91726806,77960528,64765651,52845856,52845855,64765649,77960525,74715853,61928059,50437510,50437511,61928060,270021971,259696329,77960475,64765568,52845749,52845750,52845769,42441369,42441368,38704096,38704097,48618665,48618640,38704080,30127330,30127329,268753229,25677376,25677378,33448355,30090708,30090709,38667789,34223475,26349346,19620203,19620201,26349344,31666107,31666108,40360710,50396014,60436947,64765609,257206820,43321519,34223490,26349356,19620209,14060876,14060875,19620208,26349354,268792977,31792178,24278462,17898028,12678294,255204055,13603284,19055331,268498115,24278466,31792187,40380534,31686776,24178039,24178041,31686779,40380535,40399949,40487275,31792194,31792195,40487277,50396011,60008323,60008322,53015751,42575443,42575444,256686016,34223899,26349758,19620516,14061094,14061095,19620518,26349760,34223901,43321886,53819520,46794361,36916557,34196915,26324245,26324246,28418680,21196366,21196367,256305269,37995230,29432797,23482945,23482946,30920212,32336052,32336053,41151255,47379308,46794371,43295522,256134412,42684110,47911260,37995226,31184485,31184484,34196905,33347826,25587653,18978824,13542611,9270983,6072700,3799632,3799631,6072694,9270972,7776252,4928101,4928102,6215164,6215163,9478394,6215261,6215260,9478569,13820702,19327213,16705177,11665105,7775790,7775791,5974763,3736480,2237082,2237081,3736476,5974757,9130077,13359227,13359214,9130010,5974716,3736454,2237074,1297360,740458,740459,267778821,3736463,5974735,7776099,7776097,11665482,16705647,16708284,11667608,7777761,4929253,4929252,7777747,11667579,11669070,15639185,15639184,11100210,11098751,7360455,7360454,7286353,4594930,4594932,7286360,7361031,7361030,11099694,15987878,14253491,9796947,6440065,6440066,9796949,6551269,4104138,4104136,2800625,1624582,923742,520736,520735,923734,1624569,2800606,4649413,7360498,7362022,7360480,7360481,11098797,15987784,15988016,11120015,7375731,7375730,11120012,16015648,15988010,11098954,11098953,15988004,255885641,256381115,27089569,27089570,28845352,22096443,15987964,11098921,7360556,7360558,11098930,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,22095990,22095992,22096069,24906705,22096049,15987935,15987936,20191349,15987416,11098556,11098554,15549172,11098613,7360384,4649357,2800561,1624544,1624546,2800566,4649365 Dl.O(d2) = 36454374,38156598,38156597,38196175,32992215,25371036,25371037,25371041,22368538,16214161,11271198,8619401,8619400,12688669,16214113,16214115,22241842,29590119,29724919,22368418,16214077,11271160,11271161,16214081,11681081,7789264,7789262,11681073,16722688,22958552,29590392,25371152,18786870,13381050,13381047,16214037,16214053,16214052,22368375,25371125,25371124,22241829,16105608,16105605,18786730,13380970,13380971,18786738,25370975,22242223,22242225,25371050,18786787,13380997,13380996,18786785,13381071,12688646,8619391,5603653,5603654,8619394,12688658,16105617,16105618,18786718,13380965,9146335,9146334,13380962,18786708,25370940,33105953,30359975,25285332,25285333,30359932,30359933,25371167,25371166,29590375,36454365,36454366,39415724,38156495,29724866,22721987,18786757,18786759,22241609,16105448,16105449,18786902,18786901,15136868,10439852,6882285,6882284,10439845,9146397,5985429,3742676,2240530,2240528,3742669,5985414,9146361,13381024,11186827,8084366,5179900,5179901,8084368,12024902,16105697,16105789,22242072,255081929,7422921,7422922,255081931,22242147,29589694,29589693,22241918,22241917,256392987,268401837,255458521,11186841,11186839,11187096,11187094,16105691,16105380,11186923,7422775,4690658,2826388,1639856,932482,932480,1055930,593706,593704,1055923,1850189,3160539,5179938,8084421,8084294,5179860,4690750,4690752,7422957,11187182,268223405,29590407,23381924,17111515,12024816,12024818,17111524,22242177,23381952,17111551,17111550,22241351,22241353,22241376,16105253,11186815,11186816,16105259,22241380,23382318,17111888,12025058,8084458,8084459,12025061,17111894,23382328,23381862,17111470,17111471,17111631,12024884,8084355,5179893,5179896,8084361,12024890,8084437,8084435,12025011,17111829,19054381,13602553,13602554,17111806,17111807,17111460,12024781,12024783,17111435,12024809,12024808,17111497,17111509,23381921,23381984,17111568,12024843,12024844,17111574,23381996,25676357,19054517,16105246,16105245,22241364,23915316,23381887,23381886,17111883,17111882,23382146,30810344,30810343,30810568,23382021,17111598,12024865,12024866,13602633,9314307,6101484,3817656,3817657,6101489,9314315,13602584,19054375,19054374,13602570,9314276,9314277,13602577,19054430,23381832,17111449,17111453,23381842,19054260,19054261,268115600,13602502,19054293,25675970,33446784,25676303,19054478,19054479,25676309,33446962,42440031,40308123,33446809,25675990,25675991,33446814,37839858,29273569,29273570,29273615,33446833,33447178,33447183,42439900,47774042,42440211,33447153,25676290,25676289,33447147,39804264,35330556,35330555,33365933,33365931,42354675,52754053,50334244,40308234,31619889,31619890,40308241,50334254,258029055,47498777,268622037,21753558,15699957,15699960,21753565,23354240,23354242,30778361,31619952,24114591,24114592,31619943,31619944,40308337,33212123,29514181,29514183,38078747,38094394,38186217,38186215,48097666,50334227,59381384,50334497,40308477,31620039,31620037,40308468,50334309,40308299,39379966,39379967,34264134,34264133,40308263,40308268,39745763,31067578,31067579,39745768,49307715,39379978,30778316,30778318,39379983,38186390,38186389,30778339,30778337,23382069,17111639,17111637,23382066,30810635,31620025,24114633,17753642,17753641,24114537,31619826,38078617,29514103,29514104,38078622,40443854,38186229,29619367,29619366,38186221,40443846,31749296,31749295,31620057,24114645,24114642,31620049,40308307,257089961,49764273,47991595,38078821,29514237,29514240,38078833,31067605,31067604,38186492,38186266,31067566,23583268,23583266,31067560,29590256,22241998,22241997,29590250,38156417,48068947,48098033,48098031,48068925,38156398,29590242,29590241,29514278,22172697,22172696,29514273,38078896,47991693,48097656,38186211,29619363,29619362,38186206,38186377,48097884,38186924,38186923,31619767,29619681,29619679,29619718,38078982,29514322,22172718,16048487,11143335,7391265,7391264,11143330,16048469,22172678,256386701,256395559,48097895,40308399,38078812,38078811,38186843,47991646,38186354,29619453,29619452,29514208,22172657,22172658,29514210,38078796,47991568,59381483,72113956,59486988,59381457,47991540,47991541,59381458,48098351,48098350,258022046,59486898,59486899,50233105,40212524,31526769,31526768,36758586,28263207,28263208,36758591,38186790,38186791,48098367,46644168,46644169,46644009,36758442,36758443,40724323,31977284,31977286,40724329,50828293,59596793,72051788,72223184,67761450,55421492,44574295,44574296,50235462,48097747,48097746,50227706,59487079,50233009,50233010,48097734,48097732,59486526,50233294,40212757,31526938,31526939,40212762,47923898,38008896,29446675,29446674,38008889,36758538,36758537,36758604,28263219,21061017,15128117,10434286,10434284,15128111,21061006,28263195,36758560,37776564,46644040,36758453,36758452,46644033,55421520,55421519,61713174,58017505,58017507,64254716,62026592,55421510,44574303,35196100,35196101,31529105,31529104,40215109,44574277,38008859,38008858,44574267,44574266,50233838,40213474,38274480,38274471,38274470,40499769,50534940,59569899,59316965,47923882,47923879,58017628,58017512,47705060,46643723,36758500,28263166,21060988,15128102,15128103,21060992,28263171,28263238,28263239,36758638,46644285,46644023,46644025,50534953,52265452,55421514,61713181,74494846,257083542,74471358,74471357,85418722,85418707,77806838,257083000,46643592,36758121,36758120,38008854,29446650,29446649,38008851,256029048,24022932,17673152,17673151,24022929,22689178,22689180,30068092,30076942,30076941,38653676,46644563,58017795,47307727,43342023,39433016,30829145,30829146,31518427,30829208,30829209,39433094,30829270,30829271,39433181,47307738,47307737,38056661,30829122,30829121,23556458,23556456,31038064,31518700,31524989,40210906,31524936,31524935,29908846,22552307,22552306,29908841,38466386,31038561,31038562,39716028,40204996,31518668,24017327,24017326,31518821,38466415,48367889,50231867,61707483,50226496,40204848,40204849,39716033,31038568,31038566,31519004,25993690,19322480,19322481,25993696,31525318,36644219,38466423,40203504,49362421,60765511,50226631,40204984,39715574,31038076,23556049,17247027,17247026,23556042,31038067,31038149,24023061,17673248,12497714,8465645,8465647,11396655,11396653,16375529,17668585,17668586,24017173,24023087,24282935,24017339,17668769,17668767,24017334,31518835,39716037,31038578,31038580,39716041,31518481,24016965,17668418,17668419,23556504,23555910,23555909,20988585,15075611,15075610,20988582,28168909,31516737,31516738,24016945,24016947,17668562,17668563,24017138,24017275,24016980,23555901,17668623,17668621,24017056,30829139,30829137,29908853,22552317,16375542,11396659,7572401,7572403,8462544,8462545,12494149,17668546,12494127,12494129,17668550,24017124,31517854,24017281,24017280,31518411,24016886,17668362,17668361,24016884,24017288,17668876,17668877,24016708,17668214,12493875,12493874,12495100,12495101,17669681,24018406,24016952,17668410,12494032,8462470,5468256,5468258,8462476,12494043,17668433,12494189,12494188,8462599,8462598,8462615,12494239,12494260,8462629,7572408,4789062,4789063,7572413,11396675,16375566,17668556,12494133,12494134,17668559,24016504,17668066,17668065,24016500,24017068,17668498,17668297,17668300,24016815,17669838,17669840,24018577,24016870,24016868,23556144,17247121,17247120,23556140,24017241,31517935,24016906,24016907,31518430,28052372,20883478,14980894,10312945,254833456,17675181,12499199,8466795,5472617,3367359,3367356,5472628,8466818,12499220,12499221,17517941,17517940,17668134,12493834,8462327,5468072,3362705,1977146,1977147,3362711,5468087,8462352,12493892,17668243,24016752,31516818,24015500,24015499,24015518,24015516,24018369,30367152,30367151,24016386,24016377,17668011,17668010,23556602,31038678,31516751,24016857,24016855,24016652,17668177,17668174,24016645,31518204,24025626,17675270,12499263,12499264,12499207,8466801,8466802,12499210,12498581,12498580,17668146,17668148,22651327,24018419,24018418,24018295,17669583,12495029,8463394,8463395,12493861,17668195,17669591,24016743,24015547,17667401,12493249,8461701,8461700,12493245,17667392,17669648,17673706,17668002,12493761,8462281,8462282,12493765,17668018,24016411,24026168,24026170,24018267,24018218,24018217,31519790,31519780,254187738,12495010,8463381,8463379,12495003,17669547,24018254,31519828,31520726,31521350,31521349,31520609,31520007,24018474,17670353,17670354,24016656,31518223,24018520,17669782,17669781,22132377,22132378,24020397,24020395,24024274,24024275,30024366,24020566,24016665,24016666,17670792,17670791,24019779,31038766,31038765,39716182,31516856,31516858,24026258,24023571,17673716,12499623,12499625,17675713,12499602,254408524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14165449, s2 = 11046450, dlinesl.size( ) = 2 s1 = 14165449, s2 = 11046450, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14165449, Dl.E( ) = 26, 2e-05 seconds used appending s1 = 10726496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14533366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15098373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11083189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083189, s2 = 11444306, int(edited[s2]) = 0 s1 = 11083189, s2 = 11444306, d1 = 31, d2 = 58 Dl.O(d1) = 255537944,23890683,17544022,12374709,12374710,17544024,23890684,255151190,16650935,16650936,22879292,17547341,17547340,23893487,255581044,15567048,15567051,21592776,256338899,37709912,29149651,29149652,30011608,22640186,22640187,256424433,257463336,30097722,30097721,30723456,31671349,37037505,255993502,35074929,26990719,26990718,257909017 Dl.O(d2) = 261795720,183342293,264622321,264048056,263336010,163912668,163912667,152050082,152049852,139344213,260259334,98193825,98193826,98193916,112156711,125993350,139344440,152050054,159189500,170530688,174722821,163912927,152050117,152050115,152049866,152049864,142994576,139344436,139344433,129666728,129666727,139344277,125993241,125993240,139344270,152049894,139344461,139344462,152050088,163912898,174722786,184338499,186955010,177674444,167175696,155543568,142994552,129666709,129666708,129666715,142994565,155543578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083189, s2 = 11444306, dlinesl.size( ) = 54 s1 = 11083201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083201, s2 = 11468218, int(edited[s2]) = 0 s1 = 11083201, s2 = 11468218, d1 = 11, d2 = 13 Dl.O(d1) = 257475447 Dl.O(d2) = 259953497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083201, s2 = 11468218, dlinesl.size( ) = 8 s1 = 14291587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14291587, s2 = 10349173, int(edited[s2]) = 0 s1 = 14291587, s2 = 10349173, d1 = 19, d2 = 28 Dl.O(d1) = 102731722,102731721,116823410,125926869,112092660,101055109,87059090,258017816,49291277,49291278,60692743,73441073,87059095,87059063,73441050,73441051,60692746,49291280,39364024,255979009,256480791,49291283,50278339,40257196,31569688,31569689,40257197,50278340,258278897,73441079,87059100,270910079,260077649,87059069,87059070,101055091,115129694,259461013,73441067,60692737,49291274,39364021,39364020,49291272,60692735,73441063,87059077,92743945,92743944,92743946,92743947,90183816,76355548,76355549,87059073,87059072,78680426,78680427,92743953,89929362,87059074,257742566,53371328,42905257,42905258,257837647,78680429,92743956,89929364,89929363,88171483,88171484,102162206,112654185,116223297,102162208,88171487,88171486,88496771,76123571,256602260,89929361,85376744,71787125,71787124,85376741,99321583,113324784,114924238,127184058,116223295,104058844,89929369,268475008,63118186,256602262,72966519,76355562,63324306,63324307,270481068,118520303,127184055,113324779,99321576,85376732,71787119,59045294,47643600,47643601 Dl.O(d2) = 90452162,89480203,75716031,75716032,89480205,75984446,63001731,63001730,258182316,63125817,76131282,63515017,63515016,76594223,88543817,76594233,63515023,51737222,51737221,51737223,41468200,257746395,74905602,74905607,88543822,85552655,71964951,63515019,63515020,76594227,90452159,90452156,89706117,75927541,75927542,89706112,75927540,62947134,51273158,41095212,257139337,51428587,41230842,41230841,51428584,63125813,74632308,74632309,88262645,102260791,116355000,259531126,260145620,128124348,114237549,114237550,258906840,102260797,88262654,259531128,116355009,130193108,130193109,141485702,128124351,257091994,100203135,114237551,120140136,105928074,91720462,91720463,100203132,100203131,114237547,116355011,102260797,88262654,259531128,116355009,130193108,130193109,141485702,128124351,257091994,100203135,114237551,120140136,105928074,91720462,91720463,100203132,100203131,114237548,128124346,132044977,118225042,104066024,89936907,89936908,104066025,258906838,116355004,116354988,116354989,120140136,105928074,91720462,91720463,100203132,100203131,114237548,258284150,141485700,128124350,257091994,100203135,102260794,88262646,74632310,74632311,74632308,74632309,88262645,102260791,260145618,95104667,270354998,38093465,29529671,29529670,38093462,38093471,255891491,16059962,12092157,12092156,255990071,39526856,48004973,59393375,72124300,60633181,50406050,50406051,42506188,33507303,25728896,19097175,13634535,13634533,19097169,25728888,31180764,25779291,25779292,33569443,31882279,24355794,17961772,17961770,19138121,19138120,19138162,13665652,9358427,6129999,3835219,2297696,2297694,3835217,6129994,9358418,13665633,19097287,13634606,13634605,19097285,25729095,33507580,42506525,37203348,28680083,21431139,21431141,28680090,24578876,24578878,24578854,18136164,12860443,12860444,18136169,24578864,32164075,33569388,25779259,19138072,15812188,15812187,21888841,29201364,23592762,17280671,12159875,12159876,17280677,23592768,31076178,36917351,28419483,25729048,25729047,25779301,19138097,13665609,9358403,6129985,6129986,9358407,13665617,19138114,25779326,33569462,25779312,19138103,13665612,268150711,25779310,33569459,42586463,51085555,256636302,25756967,25756966,33545634,37762724,47684901,59084762,53026226,42586451,33569449,25779303,25779304,33569450,38656699,43036127,33979032,33979033,33979024,33979025,30079777,30079776,38656733,48572507,59964530,48572732,38656875,38656876,257553513,72701959,65538559,53514359,43036104,33979015,26139865,26139864,30079767,30079766,38656717,48572486,59964507,48572763,38656889,30079857,30079858,38656891,48572761,38656887,38656886,41575363,41575362,51865612,63661251,76753706,256691852,85909994,257250474,73619654,71853478,71853479,85438378,91964347,78037171,78037167,259637368,91964339,85438287,71853382,59115621,47718331,47718330,59115619,71853379,71853407,59115635,47718338,47718339,59115636,71853409,257665185,50214122,61695883,74478240,258275219,50230050,40209172,40209171,50230048,59115670,59115669,71853456,85438307,71853397,59115628,59115629,71853399,85438310,99379244,106162476,91964325,78037140,64839933,64839930,71853423,85438329,99379257,112436413,98446911,88104455,80325586,66897768,54640277,257578573,48890610,54640279,54640280,258504993,80325572,66897746,54640267,54640269,66897752,80325577,80325589,80325588,94380751,80325525,80325526,66897799,54640315,43897221,34625200,34625202,43897227,54640323,258505001,94380802,94380749,94380750,87610256,74478140,61695736,50213955,40191808,31506404,31506403,40191807,50213954,49745513,256319880,31047332,39726184,49745515,59128287,59128286,49745635,49745634,49946447,61424302,50214144,257045277,31047416,31047418,39726128,31047292,256028953,17661408,17661410,23563215,24007332,31047304,39726152,40191844,31506436,24007223,17661347,17661345,24007218,31506419,31506446,24007235,24007236,31506380,40191765,50213902,61695687,58478013,47099654,47099656,49933164,39914822,31239294,23755683,23755682,31239288,39914821,49933159,61411789,71200212,74478126,61695713,61695712,61695720,50289642,40268482,40268481,50289641,61695668,61695669,55272191,50289254,40268071,31581155,24075627,256034223,40268068,50289249,61768981,74552752,88167966,88168037,259762729,94380769,87794462,74190812,61769351,61769350,257287320,50289637,43897179,34625181,34625182,43897182,54640244,44424950,35050181,26968953,20083550,20083551,26968937,26968939,35050154,35050152,35050151,44424901,37285891,28751483,28751484,37285893,37285895,28751485,21491909,21491910,28751488,37285899,40268075,31581157,31581158,40268077,37762718,37762720,47684897,50289374,40268189,31581358,24075774,17719190,17719128,12535640,8497348,5498744,5498747,8497352,12535651,17719153,17719167,17719166,24075722,31581284,31581339,31581338,31581388,24075794,17719200,12535679,12535678,17719199,24075792,31581383,40268339,50289516,61769231,74552905,64090448,64090449,270506263,88168077,74552931,61769283,50289579,50289580,61769287,61769205,61769204,61769211,74552897,74552919,74552870,74552869,67787532,67787531,65347567,259419407,86207061,72609240,72609241,86207062,86966369,73354832,257599981,49209357,60609888,73354867,61708842,50228094,256535687,255973425,23268988,30685682,39282628,30685690,23268992,23268991,30685688,39282636,39282707,30685735,23269017,255140889,11919175,17005742,23269029,30685753,39282739,39282653,30685702,23268998,17005723,17005724,23269004,30685714,30685813,23269065,17005773,11919193,7973803,5074082,3076842,1795271,1795272,2713166,1571700,1571699,1780866,1780865,3055803,1799949,1027154,578725,578726,578499,323591,323590,578495,1026749,579016,323867,323868,179373,98651,98652,179374,322410,322409,576165,1022545,1030928,1805341,3058298,5048263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14291587, s2 = 10349173, dlinesl.size( ) = 2 s1 = 14291587, s2 = 10349173, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14291587, Dl.E( ) = 30, 3.5e-05 seconds used appending s1 = 11083273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083273, s2 = 11276282, int(edited[s2]) = 0 s1 = 11083273, s2 = 11276282, d1 = 8, d2 = 9 Dl.O(d1) = 29079967,21782021,15723010,10890491,7201978,4537397,2727346,2727347,4537403,4535765,4535764,7199440,9943011,9943012,14383460,9889048,9889049,255053449,7192470,4531153,4531152,7192472,10878933,12494787,268115573,10884869,9879657,9879658,12495960,9894216,6501955,4074190,4074195,6490707,9868506,6482606,6482608,7201075,7201077,10433513,10433512,9882091,6492548,6492549,6492399,6492352,6492353,6492361,4068045,4068043,6492371,256740207 Dl.O(d2) = 260096686,32536782,257155763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083273, s2 = 11276282, dlinesl.size( ) = 8 s1 = 11083489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11083537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083537, s2 = 11478162, int(edited[s2]) = 0 s1 = 11083537, s2 = 11478162, d1 = 5, d2 = 11 Dl.O(d1) = 259959727 Dl.O(d2) = 263877881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083537, s2 = 11478162, dlinesl.size( ) = 14 s1 = 11083539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083539, s2 = 11307922, int(edited[s2]) = 0 s1 = 11083539, s2 = 11307922, d1 = 10, d2 = 5 Dl.O(d1) = 256901053 Dl.O(d2) = 71778056,71778057,259340753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083539, s2 = 11307922, dlinesl.size( ) = 18 s1 = 13500833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11083697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083697, s2 = 11319800, int(edited[s2]) = 0 s1 = 11083697, s2 = 11319800, d1 = 0, d2 = 13 Dl.O(d1) = 37743539 Dl.O(d2) = 259961877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083697, s2 = 11319800, dlinesl.size( ) = 14 s1 = 11083787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083787, s2 = 11435854, int(edited[s2]) = 0 s1 = 11083787, s2 = 11435854, d1 = 0, d2 = 33 Dl.O(d1) = 37757318 Dl.O(d2) = 259344321,260563155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083787, s2 = 11435854, dlinesl.size( ) = 32 s1 = 11083877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083877, s2 = 14109044, int(edited[s2]) = 0 s1 = 11083877, s2 = 14109044, d1 = 77, d2 = 52 Dl.O(d1) = 37775808,47696797,272200442 Dl.O(d2) = 263707008,190120366,261955982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083877, s2 = 14109044, dlinesl.size( ) = 78 s1 = 11083885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083885, s2 = 16275628, int(edited[s2]) = 0 s1 = 11083885, s2 = 16275628, d1 = 4, d2 = 16 Dl.O(d1) = 29216256 Dl.O(d2) = 29214976,37776278,39909770,39909771,39909772,35257366,27158327,20246575,20246574,27158323,24285916,17905089,12684507,8615880,5600608,5600607,8615879,12684506,17905088,24285915,256555855,31799303,40494413,50530165,62022322,74819333,88452866,102456702,116555969,130396012,143721879,140203337,126855887,113002994,99014219,85088646,71516091,58785957,47397860,37489457,28946832,21667476,254831272,10817169,10817168,15631384,21667475,17974098,12737566,8655541,5629941,5629940,7128223,4487659,4487658,7128219,7790512,11682890,13318815,9099158,9099156,9099184,5953404,4766770,4766774,7535515,8190240,7535684,7129992,7129994,4766497,2873325,1667615,948580,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,1645295,1645296,2836127,4707921,7451286,10354748,13636528,12210195,12210194,17335979,23653052,18705313,18705314,25277844,20354188,15049309,15049308,12331443,8330289,8330290,254217682,15048570,20857630,17333849,14406218,14406217,12208527,8239962,5312150,3261958,1916871,1094861,614642,614643,1094863,1916876,3261966,5312169,8239991,8330493,12331744,17489888,23827445,31316890,39993679,50011531,61489475,74266495,259504037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083885, s2 = 16275628, dlinesl.size( ) = 2 s1 = 11083885, s2 = 16275628, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11083885, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 16275627, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13347850, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11083971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083971, s2 = 11453482, int(edited[s2]) = 0 s1 = 11083971, s2 = 11453482, d1 = 0, d2 = 12 Dl.O(d1) = 37797014 Dl.O(d2) = 273358610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083971, s2 = 11453482, dlinesl.size( ) = 14 s1 = 11084097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3412870, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14885089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084457, s2 = 14083356, int(edited[s2]) = 0 s1 = 11084457, s2 = 14083356, d1 = 18, d2 = 25 Dl.O(d1) = 268219142,59216924,71955247,257497044,113501008 Dl.O(d2) = 113501010,259356056,114870677,128767741,142122707,128767746,128767747,142122711,260574412,114870676,259974202,60479338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084457, s2 = 14083356, dlinesl.size( ) = 22 s1 = 13348632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084579, s2 = 10978294, int(edited[s2]) = 0 s1 = 11084579, s2 = 10978294, d1 = 3, d2 = 4 Dl.O(d1) = 37920101,255252532 Dl.O(d2) = 254093382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084579, s2 = 10978294, dlinesl.size( ) = 14 s1 = 11084647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084647, s2 = 14132392, int(edited[s2]) = 0 s1 = 11084647, s2 = 14132392, d1 = 6, d2 = 11 Dl.O(d1) = 29373143,22042191,15939460,15939462,11789270,7872290,7872291,7332583,4632137,4632139,7332616,7339313,4635903,4635906,4635932,4635936,7339396,11068828,15950033,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,22045706,255340940,256230413,44603135,55451919,255334774,40516197,40516196,44550507,44550506,44550429,35172758,268176526,20185980,27084266,35172756,44550426 Dl.O(d2) = 67736393,55397178,44550424,44550423,270661750,55397176,44550424,44550423,55397175,67736390,81201103,67736389,67736387,259166879,109511290,260407007,260998515,137433101,263439659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084647, s2 = 14132392, dlinesl.size( ) = 2 s1 = 11084647, s2 = 14132392, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11084647, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14189293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084813, s2 = 11146858, int(edited[s2]) = 0 s1 = 11084813, s2 = 11146858, d1 = 1, d2 = 11 Dl.O(d1) = 37979893 Dl.O(d2) = 47897172,59292638,72029029,256727794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084813, s2 = 11146858, dlinesl.size( ) = 16 s1 = 11084853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084853, s2 = 11020308, int(edited[s2]) = 0 s1 = 11084853, s2 = 11020308, d1 = 13, d2 = 4 Dl.O(d1) = 255871078,41420509,32562122,24910607,18405466,18405468,24910610,32562126,32560910,255358022,13072845,13072844,13073334,13073335,18405549,24910718 Dl.O(d2) = 8908576,13073352,18405584,22683268,16484671,16484670,22683266,30060231,32560872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084853, s2 = 11020308, dlinesl.size( ) = 14 s1 = 195909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15098673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11085001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085001, s2 = 10384941, int(edited[s2]) = 0 s1 = 11085001, s2 = 10384941, d1 = 24, d2 = 20 Dl.O(d1) = 29463322,22128565,16013705,16013704,22128563,29463321,38025439,41130944,51314323,51898654,41598453,41598451,47162216,37256909,28725404,21468754,15467116,15467115,14466302,14466154,14466153,11117783,11117784,9646327,9646328,14031019,19584639,17492561 Dl.O(d2) = 5377507,8331963,12333711,17492573,23830919,30491886,30491885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085001, s2 = 10384941, dlinesl.size( ) = 18 s1 = 11085007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085007, s2 = 11379172, int(edited[s2]) = 0 s1 = 11085007, s2 = 11379172, d1 = 20, d2 = 17 Dl.O(d1) = 256924997,59332060 Dl.O(d2) = 99603483,260582323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085007, s2 = 11379172, dlinesl.size( ) = 22 s1 = 11085141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085141, s2 = 14006936, int(edited[s2]) = 0 s1 = 11085141, s2 = 14006936, d1 = 39, d2 = 61 Dl.O(d1) = 29492292,29492293,30841981,23412121,17136854,269943320 Dl.O(d2) = 262223146,152358673,164231374,175037175,184631313,193010357,193010354,193010353,263891112,263847715,193010352,184631308,175037172,164231383,152358679,273327069,193010355,184631312,175037174,164231371,152358672,152358670,164231367,175037168,164231378,152358677,152358678,164231379,175037182,184631318,263847721,263140576,164231378,152358677,139637986,139637987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085141, s2 = 14006936, dlinesl.size( ) = 44 s1 = 11085415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085415, s2 = 10445601, int(edited[s2]) = 0 s1 = 11085415, s2 = 10445601, d1 = 9, d2 = 13 Dl.O(d1) = 29559689,29559690,268941593,39944445,37027781,31122653,23636782,17321146,17321145,23636780,31122648,255848047,15580828,15580826,15337501,15337500,18789346,18789348,25374187,31140834,31140833,268976297,37027939,37027938,38478095,38478094,40955199,51097571,49884137,39861287,31178575,23689260,23689259,24844778,32486865,41334807,37768525,29206967,29206968,37768527,47689834,257038093,30917240,23480266,17197241,255541533,27094924,29207483,21894027,21894024,23688810,23688813,20328334,17454286,12304264,8749729,8749731,9115500,9115499,13341889,18741885,19442430,21860961,29170521,37262325,34985107,34985108,32486805,24844729,24844730,32486812,26138630,20328285,20328284,20328361,27262706,21076952,268066479,6883794,6883795,8310519,8310518,12304182,15788502,21860851,29170374,37730737,37730819,29170438,21860900,21860901,29170440,21860990,15788579,10938445,7237765,4562826,2743980,1590263,1590264,2743983,4562828,7237771,10938457,15788606,21861031,29170620,29809294,29809293,38381409,41992450,41741699 Dl.O(d2) = 12410791,8388032,8388033,12410793,17583125,15199550,10483477,6911751,6911749,255018707,21154960,23689546,23689547,31178898,24588969,20195739,20195740,24590258,21894027,21894024,23688810,23688813,20328334,17454286,12304264,8749729,8749731,9115500,9115499,13341889,18741885,19442430,21860963,29170525,37262321,31500387,31500386,40185490,32174738,27094821,20195700,16059314,11150794,7395931,7395932,11150796,12134798,8164834,8164833,5716627,5716628,8777356,12903155,18191980,24113312,31618582,37719433,31270073,31270072,37716530,29155871,29155872,37716531,37709955,29149723,29149722,37709974,31178343,29149733,29149732,37709982,255577306,51097392,49191835,40953445,40953444,51096639,62728467,75674959,259580765,100342160,86384726,259284142,60049985,48653551,38732532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085415, s2 = 10445601, dlinesl.size( ) = 2 s1 = 11085415, s2 = 10445601, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11085415, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 11085425, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11085513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11832046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11832046, s2 = 11085514, int(edited[s2]) = 0 s1 = 11832046, s2 = 11085514, d1 = 1, d2 = 1 Dl.O(d1) = 11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264665,7264616,7264615,10975599,11392398,7569221,255917297 Dl.O(d2) = 11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264665,7264616,7264615,10975599,11392398,7569221,255917297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11832046, s2 = 11085514, dlinesl.size( ) = 2 s1 = 11832046, s2 = 11085514, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11832046, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11085651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085651, s2 = 11118582, int(edited[s2]) = 0 s1 = 11085651, s2 = 11118582, d1 = 50, d2 = 39 Dl.O(d1) = 271801805 Dl.O(d2) = 258797284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085651, s2 = 11118582, dlinesl.size( ) = 48 s1 = 11085849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085849, s2 = 11338390, int(edited[s2]) = 0 s1 = 11085849, s2 = 11338390, d1 = 15, d2 = 12 Dl.O(d1) = 255165368,268437424 Dl.O(d2) = 258247216,272557441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085849, s2 = 11338390, dlinesl.size( ) = 14 s1 = 11085885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085885, s2 = 11040964, int(edited[s2]) = 0 s1 = 11085885, s2 = 11040964, d1 = 2, d2 = 1 Dl.O(d1) = 29669817,29669819,38235226 Dl.O(d2) = 23471109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085885, s2 = 11040964, dlinesl.size( ) = 14 s1 = 13351432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15197719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13246144, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11086581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11086581, s2 = 11069374, int(edited[s2]) = 0 s1 = 11086581, s2 = 11069374, d1 = 19, d2 = 16 Dl.O(d1) = 29819249,22451704,254764142,11323790,16282510,22451707,29819255,38391731,48302077,48302068,48302067,59688742,59688758,258736162,72424030,72424029,86021180,85539561,268938594,59212894,47814455,47814456,59212896,71951588,80363633,80363632,68077286,55678565,48302082,47814447,37892636,29324562,258128923 Dl.O(d2) = 255462197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11086581, s2 = 11069374, dlinesl.size( ) = 26 s1 = 11086637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11086637, s2 = 11155608, int(edited[s2]) = 0 s1 = 11086637, s2 = 11155608, d1 = 10, d2 = 12 Dl.O(d1) = 254820470 Dl.O(d2) = 255976084,258017724,10832868,7160930,4510145,4510143,7160924,255048885,21276341,21276340,22004128,15903490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11086637, s2 = 11155608, dlinesl.size( ) = 8 s1 = 11086785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11086785, s2 = 10814818, int(edited[s2]) = 0 s1 = 11086785, s2 = 10814818, d1 = 0, d2 = 0 Dl.O(d1) = 254782656,11370370,11010924,11010925,15780593,16353923,16353922,21979721,21979722,17283323,17283322,15539748,10747215,7100458,4470565,4470566,7100462,7103019,4472063,4472064,3230957,1894776,1081412,1081414,1894783,3230968,5277122,8205107,7104097,7104094,10752907,15545091,16334767,15928224,15928223,16337611,22511440,16344339,11373367,11373369,12207258,8238921,5311255,3261205,3261204,5311251,5311274,7558382,11376927,16349487,22522633,20125429,254760058,35103072,30923605,30923604,29877464,22520739,16347560,11375175,11375176,16347562,22520744,255163140,254586384,11346083,254183666,4769354,7539617,9930120,14435751,14435754,19850843,19850845,16353606,11380269,7560723,254182756,7548713,7548715,11362049,16331088,17339302,12213137,12213138,16344210,16344208,16694605,16355262,11381764,11381765,16333245,12138364,12138362,15543151,15543149,16330046,16330049,16343464,16325413,11358809,11358808,16326865,22482648,29848235,30754585,30754586,37967266,29403314,22072964,15967989,15967988,267975992,12139695,16324435,16324436,22498584,29861465,38417043,29848277,29848279,38417044,33614828,29849874,22484611,16312820,11349638,7541483,4770258,254535483,267996744,11199816,7431429,4695977,2829403,2829405,4388659,4388663,6984417,7539419,11345721,10588329,10588334,15330701,11343796,11343797,11349194,11349195,16312157,16309308,16309306,16318442,16318440,18724805,18724804,15329961,15328500,15328499,21295260,22385987,28516433,28518820,22477562,22477561,29844192,22478459,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556077,9966950,9966947,14485810,20188183,17259758,16356850,11382961,7562583,4781987,2881639,2881642,4782000,7562604,11382994,15546181,10753578,7104545,7104546,10753582,12153999,8184474,8184471,12153990,254104550,16326327,16326328,22500550,29862954,29870592,29870591,31053890,255069880,16353628,11380287,7560735,7560736,11380290,16353635,254266714,16353410,16353412,22515758,16342334,12208128,12208125,17333359,16230424,11376594,11376595,8205865,8205786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,22528545,22514041,17338295,12212360,12212359,11369344,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,8241959,12211152,12211065,12210768,8241682,8241683,12210770,17336545,23653575,23658377,23629124,23629125,23650279,17333234,12208017,12208018,17333236,23621634,23594705,23594706,22513129,22513128,29871847,23641541,17324826,13172677,8979534,8979533,8241853,8241852,12210996,17336861,254840258,31121588,35102195,31141593,23929829,17587994,17587992,17329586,17329585,23646489,26043984,254273522,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280957,5280953,6232525,6232521,9502169,13851455,19364935,26043904,254541546 Dl.O(d2) = 254782656,11370370,11010924,11010925,15780593,16353923,16353922,21979721,21979722,17283323,17283322,15539748,10747215,7100458,4470565,4470566,7100462,7103019,4472063,4472064,3230957,1894776,1081412,1081414,1894783,3230968,5277122,8205107,7104097,7104094,10752907,15545091,16334767,15928224,15928223,16337611,22511440,16344339,11373367,11373369,12207258,8238921,5311255,3261205,3261204,5311251,5311274,7558382,11376927,16349487,22522633,20125429,254760058,35103072,30923605,30923604,29877464,22520739,16347560,11375175,11375176,16347562,22520744,255163140,254586384,11346083,254183666,4769354,7539617,9930120,14435751,14435754,19850843,19850845,16353606,11380269,7560723,254182756,7548713,7548715,11362049,16331088,17339302,12213137,12213138,16344210,16344208,16694605,16355262,11381764,11381765,16333245,12138364,12138362,15543151,15543149,16330046,16330049,16343464,16325413,11358809,11358808,16326865,22482648,29848235,30754585,30754586,37967266,29403314,22072964,15967989,15967988,267975992,12139695,16324435,16324436,22498584,29861465,38417043,29848277,29848279,38417044,33614828,29849874,22484611,16312820,11349638,7541483,4770258,254535483,267996744,11199816,7431429,4695977,2829403,2829405,4388659,4388663,6984417,7539419,11345721,10588329,10588334,15330701,11343796,11343797,11349194,11349195,16312157,16309308,16309306,16318442,16318440,18724805,18724804,15329961,15328500,15328499,21295260,22385987,28516433,28518820,22477562,22477561,29844192,22478459,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999703,4966535,7824962,11722411,16768666,17294250,17294251,22023751,15922753,11045647,11045645,15330189,10588041,10588038,15330178,21297581,28518519,25273688,25273686,23568333,17256863,16311941,11349057,7541171,7541169,11349050,11247664,7555324,4777631,4777632,7541390,11349490,10588120,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556077,9966950,9966947,14485810,20188183,17259758,16356850,11382961,7562583,4781987,2881639,2881642,4782000,7562604,11382994,15546181,10753578,7104545,7104546,10753582,12153999,8184474,8184471,12153990,254104550,16326327,16326328,22500550,29862954,29870592,29870591,31053890,255069880,16353628,11380287,7560735,7560736,11380290,16353635,254266714,16353410,16353412,22515758,16342334,12208128,12208125,17333359,16230424,11376594,11376595,8205865,8205786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,22528545,22514041,17338295,12212360,12212359,11369344,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,8241959,12211152,12211065,12210768,8241682,8241683,12210770,17336545,23653575,23658377,23629124,23629125,23650279,17333234,12208017,12208018,17333236,23621634,23594705,23594706,22513129,22513128,29871847,23641541,17324826,13172677,8979534,8979533,8241853,8241852,12210996,17336861,254840258,31121588,35102195,31141593,23929829,17587994,17587992,17329586,17329585,23646489,26043984,254273522,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280957,5280953,6232525,6232521,9502169,13851455,19364935,26043904,254541546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11086785, s2 = 10814818, dlinesl.size( ) = 2 s1 = 11086785, s2 = 10814818, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11086785, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 16209939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13438212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11086861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11086861, s2 = 10990270, int(edited[s2]) = 0 s1 = 11086861, s2 = 10990270, d1 = 11, d2 = 12 Dl.O(d1) = 268238616,11387001,16362768,22537035,256413703,22850766,30244851,38828230,39747390,31069282,23585058,17272664,17272663,23585056,28469347,36967960,31069389,23585137,17272720,16362763,254555362,27033479,29891702,38448430,36713565,28220850,28220849,36713563,36417840,36417841,35045390,35045389,31327033,31327031,38810171,258174957,72031943 Dl.O(d2) = 255450332,255448861,29420252,32227961,32227960,256529166,59380629,58796252,47409382,39987788,39987789,49112097,47410625,37503129,28960110,22858360,254102686,254087798,1708484,971128,971127,1708482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11086861, s2 = 10990270, dlinesl.size( ) = 20 s1 = 11087179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11087179, s2 = 11353984, int(edited[s2]) = 0 s1 = 11087179, s2 = 11353984, d1 = 5, d2 = 26 Dl.O(d1) = 255406938 Dl.O(d2) = 128045627,128045634,141414576,154088755,165858593,165858592,154088741,154088742,154088748,141414569,141414570,260534092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11087179, s2 = 11353984, dlinesl.size( ) = 14 s1 = 15374032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11087593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11087593, s2 = 12644527, int(edited[s2]) = 0 s1 = 11087593, s2 = 12644527, d1 = 5, d2 = 12 Dl.O(d1) = 255686360,59907243,59907244,48540757,48540759,55223428,48540751,44371466,44371465,44371457,34993059,26911722,26911723,26911548,20027338 Dl.O(d2) = 257303351,30709016,255737824,20027455,14344698,9855306,9855304,255737851,24619281,256070932,8711868,8711867,12813252,9946709,8712235,8711799,8711800,5675003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11087593, s2 = 12644527, dlinesl.size( ) = 14 s1 = 11087937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11087937, s2 = 11060320, int(edited[s2]) = 0 s1 = 11087937, s2 = 11060320, d1 = 7, d2 = 4 Dl.O(d1) = 30119489,268232635 Dl.O(d2) = 11520985,7663742,7663741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11087937, s2 = 11060320, dlinesl.size( ) = 6 s1 = 11060319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060319, s2 = 11087938, int(edited[s2]) = 0 s1 = 11060319, s2 = 11087938, d1 = 5, d2 = 9 Dl.O(d1) = 22589933,22589934,29953784 Dl.O(d2) = 268232634,59811956,72547088,72547099,86145487,100111508,257556598,72547094,257556594,114145121,128034113,141402524,273132137 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060319, s2 = 11087938, dlinesl.size( ) = 6 s1 = 11087967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11087967, s2 = 11181968, int(edited[s2]) = 0 s1 = 11087967, s2 = 11181968, d1 = 4, d2 = 7 Dl.O(d1) = 256945922,4852379,4852378,7669081,11528472,14945525,13297899,9079722,5938251,5938250,9079720,13297897,256626783 Dl.O(d2) = 64113625,258216519,49328830,256482973,257555784,3152352,1844437,1844436,1467394,1458742,830249,830252,1467471,254321997,1460002,826458,466602,466603,826462,466646,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467152,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715925,5942581,9085150,254715695,254715693,12665259,256273751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11087967, s2 = 11181968, dlinesl.size( ) = 8 s1 = 15879871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13354448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11088057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088057, s2 = 11021746, int(edited[s2]) = 0 s1 = 11088057, s2 = 11021746, d1 = 9, d2 = 11 Dl.O(d1) = 30163302 Dl.O(d2) = 38746701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088057, s2 = 11021746, dlinesl.size( ) = 8 s1 = 11832990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11088245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088245, s2 = 11285140, int(edited[s2]) = 0 s1 = 11088245, s2 = 11285140, d1 = 0, d2 = 26 Dl.O(d1) = 38781666 Dl.O(d2) = 258173691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088245, s2 = 11285140, dlinesl.size( ) = 34 s1 = 11088389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088389, s2 = 11494020, int(edited[s2]) = 0 s1 = 11088389, s2 = 11494020, d1 = 37, d2 = 47 Dl.O(d1) = 269357843,261762265 Dl.O(d2) = 237550622,274726557,233903003,266127655,230081385,228490073,265732858,273873797,263927671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088389, s2 = 11494020, dlinesl.size( ) = 8 s1 = 11088441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088441, s2 = 11278058, int(edited[s2]) = 0 s1 = 11088441, s2 = 11278058, d1 = 13, d2 = 11 Dl.O(d1) = 256985933 Dl.O(d2) = 100421156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088441, s2 = 11278058, dlinesl.size( ) = 18 s1 = 11088453, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11088503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11088569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088569, s2 = 12280480, int(edited[s2]) = 0 s1 = 11088569, s2 = 12280480, d1 = 0, d2 = 11 Dl.O(d1) = 30257863,22862231,22862232,22862238,22862239,30257869,37600394,29052214,21757868,15703046,15703047,21757871,29051826,29051815,29051813,37599915,47503836,54618827,66876701,55366751,44520824,44520823,44520815,44520813,55366736,58884009,53865543,43341097,38587215,30014794,22642884,16452978,11463527,7624967,4824202,254540735,11463526,16452976,22642879,30014783,38587207,30781271,23356642,17088429,12000977,8054424,5145313,3130482,3130483,5145317,8054429,255053514,5118878,3109436,1816995,1037504,1037505,1817016,1049340,1049337,1816361,1037148,584225,326455,180191,180195,326476,584260,1037218,1816485,3017375,3017378,1810295,1810292,1838673,3143612,3150519,3115963,3115964,1843175,1051800,1051799,1036009,1036011,1814298,1842690,1051546,1051545,1051778,1051779,1843132,3150343,5168125,7546047,7546048,8018457,8016169,5122140,3111977,3111978,1837512,1837513,3141860,5158338,8028943,5118128 Dl.O(d2) = 1813825,1039305,1039304,254256365,267902387,8055584,8044632,5134699,3121892,3121891,5128069,3116771,1821463,1039830,585561,254130689,1821467,1837984,1048869,590070,590069,1048867,1777112,3050491,3119799,5127070,3115977,3115979,3189172,3136355,3136354,5152265,8046631,8076293,5171396,3153355,3132059,1830975,1830976,3132063,5147316,8016803,11972313,8051659,5165479,3147745,3147744,2914115,254169091,541703,541699,961248,1690439,1037654,1037656,1817318,3109984,4760079,5110932,5110931,4760459,4760458,7527126,11330071,12016900,11329838,7526859,7526858,5111234,3142102,3142107,5158632,5173605,8018776,8018780,5177755,5177757,8000445,8000444,7970925,267794862,7970919,7970918,11915917,15572818,15572819,15571714,10770993,7116666,4480819,2692251,2692250,4480818,5228133,5228131,8157530,7117676,4481418,2692589,2692590,4481422,7117686,10772416,15573237,21600571,16346371,11374115,7556321,4778173,4778174,5952815,3722757,3722756,5952813,9098377,13317899,18711074,25283990,33009067,41951446,41951357,33009012,25283940,25283939,33009006,41951345,52292179,52292251,41951392,33009034,25283958,18711056,255140888,33009023,41951376,52292229,52292163,41951331,33008999,33009000,41951333,52292155,41951325,33008996,255973424,256535686,72037967,85626243,91213817,77293592,64144575,257599980,91213803,104416744,90264758,76434287,74373820,74373741,259419406,88168113,74552993,61769393,50289691,50289692,61769397,53340883,42877323,33834564,33834565,42877326,53340890,65342182,78644260,65342126,65342127,270506262,54638467,53340893,53340894,53340828,53340827,65342121,72728448,59991117,54638343,43895435,43895436,48046920,48046921,48046925,48046926,59438866,48047000,38133572,29567497,29567498,38133579,48047011,48046947,43895501,34623680,34623681,43895506,54638401,54638405,43895563,43895564,54638442,66895696,66895701,61640182,61640180,59438883,59438882,67613020,55272180,44424895,35050140,26968926,26968925,35050137,44424891,44424888,35050135,35050134,44424885,55272170,50553125,50553126,50553129,40516921,40516919,31820175,31820174,40516944,50553173,43895574,34623735,34623734,40268108,50289298,54638431,43895560,257287321,66895692,80323398,88168031,88168032,102159149,259762728,95138324,88168034,88168033,101766801,102090689,102159142,256034222,81080319,67612957,67612955,74844001,74491846,61709397,61709396,74491844,88103847,95138320,81080362,74491860,61709413,61709414,74491862,88103866,88168021,88158873,88158871,88158878,95334446,95334447,88089850,88089820,74478136,61695727,61695725,74478131,74552807,84526123,70962585,58246020,46879016,46879015,58246068,58246050,46879002,37000590,37000592,46879007,58246062,61695776,61225126,58246141,46879072,46879066,37000642,37000640,256028952,58246134,61225134,49745611,49745610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088569, s2 = 12280480, dlinesl.size( ) = 14 s1 = 11088837, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13477243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13477243, s2 = 10511884, int(edited[s2]) = 0 s1 = 13477243, s2 = 10511884, d1 = 10, d2 = 13 Dl.O(d1) = 26258202,26258203,22078456,15972720,15972721,22078457,268603361,28184972,36661686,46529155,46986946,46986945,46987068,58356768,51832061,51832060,58659123,47890715,37972651,37102550,28594989,21362568,15383873,15383874,21362573,21362613,15383901,15383900,21362589,28595022,37102603,46986941,46987041,37102647,37102496,28594938,28594937,37102490,46986884,58356658,48461035,38548705,38548706,48461037,59851647,62412230,75310124,75310118,62412222,50830404,40726519,31979609,31979611,40726526,50830414,50283059,50283058,58589751,58589750,65906453,59443427,48051920,38138686,29572488,255457437,11176940,16092367,255895451,38138705,38138311,29572125,29572123,38138306,48051634,48051704,38138404,29572206,22225490,22225491,29572210,29572239,38138425,48050118,48050121,38138646,29572455,29572454,38138641,38138236,29572086,22225394,16092137,16092138,22225398,29572097,30343661,28583837,28583838,37088703,46970207,58338132,60243338,48849798,48849799,48051476,38138188,38138187,38138197,38138198,48051483,59443097,72181534,59443238,48051682,38138374,29572187,22225482,16092205,16092204,16092214,16092215,22225501,29572224,30343668,38929778,48849800,59443397,59443396,50354915,50354912,60243378,48849833,38929808,38929807,48849831,60243377,72979376,71655590,60243403,48849847,38929827,38929828,48849848,38929834,30343704,30343705,38929835,48849857,60243416,63412759,63412758,72616379,72657635,256391568,71545587,58817319,47430998,256968596,58817364,47431026,37523587,255486186,15657812,15657813,21697646,28979886,37523592,47431039,58817365,70879216,70879215,58817359,256968580,28979883,28979881,37523582,47431015,58817348,255106024,29890003,29890000,38446477,48348694,38901525,30314964,30314965,255927312,48148256,38238897,38238898,48148257,38901592,30314996,30314995,256930580,38901459,48823699,38901504,38901505,48823772,59022503,47618902,38901641,30315026,30315027,35229034,44609968,55458372,48823917,38901605,30315006,22914905,22914904,30315001,30315014,38901624,48823950,60221117,72960761,60220843,60220844,60220994,48823841,48823840,60220990,60220983,60220982,72960874,86560449,98122952,100522387,100522378,86560490,72960925,72960926,84558782,258183120,72960860,86560434,84227366,84227365,98122912,86560519,72960977,61536479,50057982,40038532 Dl.O(d2) = 256017680,28605220,28605219,254594364,25093393,25093394,32791983,32792005,25093405,25093399,18547000,13178199,13178200,18547001,16182024,11247908,7466266,254354225,1648927,1648926,2842513,4718269,7466261,11247901,11247845,11247846,11745708,16241029,11291232,7841985,4977928,3007087,3007086,4977921,7841974,11745701,16798770,15326619,15326599,10585879,10585877,15326589,21292579,23044428,30452673,39042025,37752270,29190844,29190843,30452893,32295359,32295360,24684362,24684363,32295366,30453103,23044772,16798981,11745835,11745817,7842039,7842040,11745820,16798954,23044727,23044936,16799098,255512513,30453329,38336408,256889264,37012465,28513427,28513426,23044932,16799094,11745914,11745915,16799097,23044934,30453125,29482560,22144522,22144521,29482558,38045894,257484393,48963732,48963733,47674687,37752290,256381752,16026052,11127155,11127153,15524233,10736641,10736637,15524218,255843623,37345663,257456885,49162347,49162346,46891398,46891397,258040465,70839762,58125104,46756747,46756748,258029101,73305872,86916307,98883117,259493120,258251234,73305843,60562151,258203725,60562040,60562042,73305784,270553673,65102226,65102228,78385977,269561906,58641376,58641375,71377521,258466714,269395796,58641377,58641378,60562110,73305824,86916288,100897076,92423250,78385982,65102231,65102230,78385980,78385969,65102218,53115469,53115470,49161829,49161831,53682405,43171969,43171968,53682401,65738716,79094825,257059762,60681120,49280291,49280290,49162307,49162308,41028319,39235601,39235600,49162305,41028335,41028336,51184860,62834978,73305899,73305898,86916325,86916106,86916107,87864214,75799179,73305835,60562128,49162321,49162322,60329231,60329232,60562377,50106612,40086042,31405649,31405650,40086044,39235161,30637241,254951296,16942352,23214235,30637235,30752993,39353496,49280268,42663466,33634082,25831351,19178650,19178649,23330550,17063784,17063785,23330557,30753005,39353523,49280301,258835749,85568231,71981113,59243927,47847372,37927524,37927523,47847370,58655561,47263744,37354121,37354122,47263747,48931056,42663445,34088629,34088630,39007357,30418113,30418114,256999569,59243809,47847178,47847177,39007346,30418110,30418111,39007349,47847138,47847139,47847246,37927407,29360997,22030365,22030364,22030428,29361079,37927529,30418058,23013052,16773366,16773367,23013058,30418068,28815078,21546604,15529123,10740167,10740168,15529129,21546614,23792400,23013157,16773424,254744490,11727021,11727020,16773389,23013097,30418128,268654351,39007360,30418117,30418118,37728869,47650702,257499269,37927304,29360918,22030319,15929050,11052220,7327775,254761527,15929046,22030313,29360914,256918983,47435299,37527775,28983720,28983719,255854600,255854602,31278205,37820447,39953118,39797015,39797016,49817674,41105784,40104494,31424603,31424604,40104404,31424547,23933985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13477243, s2 = 10511884, dlinesl.size( ) = 14 s1 = 15194006, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11089193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11089193, s2 = 11051438, int(edited[s2]) = 0 s1 = 11089193, s2 = 11051438, d1 = 9, d2 = 10 Dl.O(d1) = 255206300,28411591,21190027,15227102,10503491,10503492,9320705,6105615,3820241,2288735,1327883,1327884,2288741,3820252,3803117,3803116,6078147,9279183,13554092,18993638,25606085,25626180,19037462,13589361,9304859,6095107,6095108,254931857,10484870,10484871,15201265,13673526,13616550,13616552,13616522,9323704,9323707,13569125,19012039,18581892,13205038,9352270,6125820,6125821,9352278,7838801,7838798,11311726,11311727,14555467,10015350,10015347,14555450,19072811,19072810,19005743,13564336,9287191,9287192,13564343,13593240,13593241,19042440,25661686,20007041,20007040,255074604,11087693,11087694,14555114,10015145,9304903,6095136,6095137,9304907,255273823,25656102,19144463,17529963,12363766,8354356,8354357,8590265,8590266,8590188,5581807,3463293,2053972,1178493,661767,366948,366949,661772,1178508,2054009,3463423,3464204,2054439,1178729,661882,661886,1178635,2054272,3463895,254875151,17871585 Dl.O(d2) = 257100444,15228929,21191690,15228643,10571086,6972586,4380254,2623296,1514053,858198,484438,272512,272508,254119725,1513899,2623045,4379798,6971856,8110051,8110052,5195895,5195894,254828595,10556072,6962222,6962221,10556069,12054765,12054766,8112593,5197438,3171040,3171042,5197431,6961645,6961646,5403077,3321945,3321949,3797889,2274791,2274792,3797896,6070070,9267238,13537766,18972829,25580618,28473549,23045614,16799688,16799689,13508758,9242975,6053615,3788165,3788167,6053624,9242999,6059642,6059644,7722310,11600546,8290763,8290762,8107428,7931375,5042286,3052997,3052999,5042296,4092948,2448761,1415869,805573,805568,1415889,2448803,4093024,5338204,255166341,20185325,20185326,256226641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11089193, s2 = 11051438, dlinesl.size( ) = 14 s1 = 11089195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11089195, s2 = 11044772, int(edited[s2]) = 0 s1 = 11089195, s2 = 11044772, d1 = 8, d2 = 12 Dl.O(d1) = 267776590,7814236,4956995 Dl.O(d2) = 254806165,11712487,268129384,11712486,16759466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11089195, s2 = 11044772, dlinesl.size( ) = 20 s1 = 14558532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14558532, s2 = 13665191, int(edited[s2]) = 0 s1 = 14558532, s2 = 13665191, d1 = 123, d2 = 97 Dl.O(d1) = 76492204,63444733,258811430,256455814,58930769,47548390,37641967,33268076,25507444,18897124,18897123,25507442 Dl.O(d2) = 48049206,48049205,59441112,72179653,258766841,59687161,48300463,38389955,38389954,48049207,59441116,72179657,59441123,48049211,48049210,59441121,59441117,48049208,257513737,72179658,85774056,99727727,113741706,127610153,130195625,260145859,102263933,99727731,85774058,85774059,99727732,113741710,261166553,262230095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14558532, s2 = 13665191, dlinesl.size( ) = 2 s1 = 14558532, s2 = 13665191, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14558532, Dl.E( ) = 124, 6.2e-05 seconds used appending s1 = 10182318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10182318, s2 = 14186853, int(edited[s2]) = 0 s1 = 10182318, s2 = 14186853, d1 = 89, d2 = 78 Dl.O(d1) = 254238969,531985,298323,165226,165227,298325,531989,943264,1657772,2856388,4739455,7497567,11292614,16243058,22405611,29768695,38339851,268222264,29528054,255891612,38092776,255891415,16059592,11151049,7396152,4672427,4672426,7396150,255078021,255891413,38092771,269311372,29671970,22320626,16175488,11242748 Dl.O(d2) = 19278428,13780967,13780966,19278427,25941751,33749375,42780328,39413325,30808223,30808222,31515018,31515019,40201409,50223697,61705528,258872729,258743160,73495025,74058436,257632271,268673929,268988253,74058438,259090132,60063805,60063804,61552791,74329355,73494955,60746047,60746049,73494958,269399569,50074096,61552646,50074098,50074099,61552652,61552794,60746026,49342909,39413357,30808252,30808250,39413354,31102480,31102481,39781064,49342998,60746107,73495031,63718073,61552658,61552656,61552654,74329243,61552719,50074153,257654037,61278761,259488315,63718071,63718072,76818829,259509383,258262951,61552714,61278667,258241453,87662342,99660800,85713095,85713096,258303892,115670978,129557276,142875807,142875803,129557265,115670961,101629918,87662352,74058361,74058360,87662349,101629914,87662423,87662424,101629957,115670976,115951276,115951277,112681312,98686593,84759088,71190332,58468455,49800231,39781051,39781052,49800234,257694464,257694466,115670956,129557263,115670963,115670962,118376163,118376162,132193052,259470172,132193060,132193061,142875804,155457510,153666420,260166454,258303886,59490371,59490372,72225830,85818042,84759084,84759083,90084388,98686585,84759077,71190317,58468424,47090518,37194727,28672526,21425028,15433114,15433115,21425031,28672530,37194735,47090532,58468440,53168303,42718804,42718803,53168301,65152634,270335495,59926882,72667028,59926868,48533308,48533309,59926870,59926901,59926887,48533322,48533324,58468446,257166910,59926891,48533327,38618091,38618092,48533329,38618109,30044060,22668533,22668532,30044057,38618104,48533345,41946030,41946029,47090520,256915930,25882184,25882185,33688655,42718735,53168238,47090500,47090499,46697695,36814810,36814811,46697697,58069966,70787463,58468462,47090555,37194757,255834419,15433125,15433124,21425040,255403239,10669233,7046590,4434915,4434916,7046592,10669237,15433126,21425046,25805663,19222944,13731648,9406933,9406935,268152635,25882364,33688872,42718757,33688675,25882353,25882354,25882211,25882213,33688684,41946020,33004154,25279340,25279339,19222870,19222869,21108220,21108219,25934650,19272181,19272182,25934653,33688836,33688661,25882194,19222834,13731593,13731594,19222838,25882202,28672574,37194784,268685820,42718783,255193314,19222855,19222856,15433106,10669223,7046586,4434913,4434914,7046587,10669229,15433112,21425025,28672522,25882328,19222922,13731634,13731635,19222926,25882334,33688844,37165100,28648455,28648456,37165102,257442827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10182318, s2 = 14186853, dlinesl.size( ) = 2 s1 = 10182318, s2 = 14186853, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10182318, Dl.E( ) = 90, 2.31e-05 seconds used appending s1 = 6531140, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11833574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11090669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14855868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8198346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11091541, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10163099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11091559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091559, s2 = 11107884, int(edited[s2]) = 0 s1 = 11091559, s2 = 11107884, d1 = 13, d2 = 0 Dl.O(d1) = 257617333 Dl.O(d2) = 38719911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091559, s2 = 11107884, dlinesl.size( ) = 18 s1 = 11091653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11091661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091661, s2 = 11128526, int(edited[s2]) = 0 s1 = 11091661, s2 = 11128526, d1 = 9, d2 = 6 Dl.O(d1) = 30915685,23478635,17195963,17195965,15934441,11057099,11057097,13036073,11057130,11057126,15934472,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934523,11057153,11057149,15934522,16808223,12855285,8830099,8830101,9735486,9735487,14160294,19768649,26567384,34548394,39526298,49459994,258227171,87234707,101235102,101235100,101235099,115313496,129241746,142611697,262318721,177468214,273570263,263608923,177468227,166930770,166930769,177468222,166930767,166930764,177468217,263608917,177468215,166930763,262791477,263608919,194878984,186774349,177468198,177468199 Dl.O(d2) = 263608911,263221839,177468212,186774334,263221839,166930757,166930756,177468211,177468192,177468190,177468219,177468221,186774337,177468184,166930738,166930739,177468187,186774338,186774339,263608919,194878984,186774349,177468198,177468199,263608911,263221839,166930757,155247233,262318721,177468214,273570263,263608923,177468227,264550721,265029389,274206923,264270359,194878988,186774359,264270357,264030924,186774370,261933964,155247240,142611703,129241748,129241747,142611699,155247225,142611696,142611697,262318721,177468214,273570263,263608923,177468227,166930770,166930769,177468222,263221829,262318715,155247213,166930739,177468187,186774339,186774368,186774352,186774353,263958423,194878987,186774357,177468204,166930746,262791471,263608913,201816944,264550717,201816947,194878993,263221837,177468209,177468213,177468214,273570263,263608923,177468227,166930770,166930769,177468222,166930767,262791477,263608919,194878984,194878983,263958421,263221831,166930752,262791475,263608915,201816942,194878987,186774357,177468204,166930746,262791471,263608913,201816944,264550717,207657500,207657502,263958425,186774365,273570263,263608923,177468227,166930770,166930769,177468222,166930767,155247237,155247238,262791479,186774361,186774347,177468197,166930742,166930741,177468196,273570261,166930753,166930754,263221835,186774341,177468188,263221827,186774370,261933964,260828450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091661, s2 = 11128526, dlinesl.size( ) = 2 s1 = 11091661, s2 = 11128526, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11091661, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11091671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091671, s2 = 10594415, int(edited[s2]) = 0 s1 = 11091671, s2 = 10594415, d1 = 1, d2 = 49 Dl.O(d1) = 39528252,49461708,43898964,34626706,26636863,19824879,14201031,9762145,9762150,12420058,12420059,14201019,14201018,19824854,26636836,23943468,17598723,12421901,12421900,17598719,22817575,22817574,22586735,22586733,19060870,13607351,9317611,6103618,3818998,3818997,6103611,6909875,6909877,10480313,15194309,12420191,8394619,5417260,5417261,8393875,5416864,5416863,8393884,12418929,17594045,23937599,31428780,255928830 Dl.O(d2) = 113648080,99634510,85685401,72099010,256931138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091671, s2 = 10594415, dlinesl.size( ) = 62 s1 = 11091751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091751, s2 = 13038784, int(edited[s2]) = 0 s1 = 11091751, s2 = 13038784, d1 = 1, d2 = 3 Dl.O(d1) = 257625847,73974169,261267597,261811590 Dl.O(d2) = 186809011,273739616,264209958,176018073,165324879,153532752,140855896,261708803,261158334,259980628,259362340,59341857,269805579,263891813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091751, s2 = 13038784, dlinesl.size( ) = 2 s1 = 11091751, s2 = 13038784, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11091751, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11092147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092147, s2 = 10517172, int(edited[s2]) = 0 s1 = 11092147, s2 = 10517172, d1 = 8, d2 = 31 Dl.O(d1) = 31116427 Dl.O(d2) = 17473231,17473232,23019691,30424550,38357839,38357840,29910357,22553562,16376480,11397360,11397358,11397359,255477797,16254752,11301076,11301075,16254750,22420190,28318842,29710570,22355429,16203911,16203912,22355433,17473089,12318913,8320857,5369218,3300833,3300834,5369226,8320869,12318931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092147, s2 = 10517172, dlinesl.size( ) = 16 s1 = 11092443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092443, s2 = 11169732, int(edited[s2]) = 0 s1 = 11092443, s2 = 11169732, d1 = 9, d2 = 22 Dl.O(d1) = 39868752 Dl.O(d2) = 101728196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092443, s2 = 11169732, dlinesl.size( ) = 26 s1 = 11092553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092553, s2 = 12252324, int(edited[s2]) = 0 s1 = 11092553, s2 = 12252324, d1 = 13, d2 = 11 Dl.O(d1) = 31208855,31208856,25565267,18954221,13517602,10536274,6948462,6948463,10536275,15269269,21237596,23787361,17456360,17456362,17567679,254853687,7843466,7843465,11244651,11244650,16177832,12396248,8377469,8377471,8381932,5409203,3325373,3325369,5409239,8382092,12388519,8387278,8387280,7902944,5023660,3040790,3040787,5023652,3320002,1952961,1952959,3319992,5399516,4448091,2672375,2672374,4448087,7064699,10693487,15465006,17383114,22880054,22880053,22877719,16649389,16649388,13512007,12667216,12667215,13512168,17156628,17156627,17577358,12405548,8384236,254119672,17577355,22357380,17385677,12251356,12251357,17385680,23709070,28735224,28735225,31221657,254927134,14999476,14999475,15465078,10693544,7064730,7064729,4898691,2952434,2952431,4898683,7736865,11617559,16649575,21130923,21130922,28343226,31215655,23731163,23712570,256005381 Dl.O(d2) = 256673916,17350073,23668421,24158979,17791668,17791669,17352456,12224044,267780406,3272386,3272385,267843337,1924210,3271738,5323323,8251961,12222299,17350066,254663068,14329885,9843880,6465236,6465235,9843878,14329883,20009021,23668364,31156232,39839004,49862502,61345561,255690324,65311257,53311800,256700916,33808439,31703907,31703908,256557110,17827225,17827224,17353995,12225231,8254040,8254041,12225234,17354001,23673454,23673460,17354004,17354008,17485445,17485444,23821640,24064975,24064976,257087087,61758783,71527032,61758741,50278960,40257928,40257927,50278959,268437216,17366045,12234848,8261379,8261380,8297725,8297726,6047510,3784089,3784088,6047507,8535856,5533802,3419311,2019104,254278765,3454648,5570610,8261251,254611991,5532568,3418128,2023675,1158097,649754,649753,1158089,2009167,3406148,5519481,8520989,12565945,12580809,12530348,8499983,5501571,5501570,254277195,1146795,1146796,2005947,1146770,644473,644474,1148826,254278017,2012983,267844015,12293643,17440171,17673190,12497649,8465567,8465568,255189233,12533512,17716969,17705312,12523769,8485718,5486600,5486599,8485716,12523765,17705305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092553, s2 = 12252324, dlinesl.size( ) = 8 s1 = 11092641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14989814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13361896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13361896, s2 = 13999306, int(edited[s2]) = 0 s1 = 13361896, s2 = 13999306, d1 = 47, d2 = 36 Dl.O(d1) = 31289041,254320712,21912798,21912797,29229252,37791364,34125104,34125099,26259423,26259424,34125102,29229232,21912785,21656385,20800775,20800776,19540306,13991591,9611822,9611823,13991593,19540310,26259411,26259481,26259482,34125172,37471729,46273761,57618294,70308941,83834075,97691959,111610521,125409353,132896838,119077006,272159370,146113249,261596914,272871216,169836429,169836430,165941233,154181919,141518537,128160271,128160272,115728040,115728041,129624162,142951362,142522312,142522313,142951367,155500770,167133800,166857729,166857728,259451048,129624165,115728044,258826896,87709123,101682985,101682990,257015646,78490049,256470886,257596162,101682988,101682987,258826892,134902226,257596164,92530057,78490065,65205319,255138204,25932674,25932673,33739730,42769724,53219463,65205298,65205299,74103189,61320296,61320295,74103187,87709126,87709133,74103190,257015648,78490053,65205308,65205307,78490051,87709134,86280686,72681584,72681585,86280689,100244948,114276135,100898382,100898383,114951108,128851609,128160250,114276104,114276103,128160247,141518509,128160275,114276132,100244937,86280680,72681579,72681580,78490041,92530025,81279681,81279679,81279661,81279660,95337935,258161080,100244885,100244886,86280676,72681578,256971304,78439609,92476702,257552082,81279592,67812381,55470785,55470786,59942555,256971288,86280675,72681577,72681575,81279723,67812501,67812503,81279669,81279635,67812418,67812420,67812428,67812427,67812456,67812457,81279677,86280701,72681593,59942557,48550390,38636041,38636040,257552086,81279623,255929700,44621503,35238858,35238857,44621499,55470789,67812387,67812402,55470797,55470798,67812404,81279591,67812380,55470784,44621496,35238855,254541732,20234422,20234436,254242458,9990912,14519812,20234433,27142708,27142714,27142713,35238887,35238943,35238942 Dl.O(d2) = 52076387,269364064,258814760,133084151,146310980,155906084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13361896, s2 = 13999306, dlinesl.size( ) = 2 s1 = 13361896, s2 = 13999306, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13361896, Dl.E( ) = 48, 3.6e-05 seconds used appending s1 = 11093007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093007, s2 = 10905611, int(edited[s2]) = 0 s1 = 11093007, s2 = 10905611, d1 = 0, d2 = 0 Dl.O(d1) = 31305702,39980805,40397415,50430768,47255328,47255327,47255344,37345925,28807732,28807731,30786455,30786454,28902332,21627729,15596810,10789544,10789543,10789533,10789534,15596799,13462458,13462457,12724833,12724834,17956719,19099813,25732311,20911495,20911494,16963188,16963187,23235635 Dl.O(d2) = 31305702,39980805,40397415,50430768,47255328,47255327,47255344,37345925,28807732,28807731,30786455,30786454,28902332,21627729,15596810,10789544,10789543,10789533,10789534,15596799,13462458,13462457,12724833,12724834,17956719,19099813,25732311,20911495,20911494,16963188,16963187,23235635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093007, s2 = 10905611, dlinesl.size( ) = 2 s1 = 11093007, s2 = 10905611, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11093007, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10905612, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14189789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11093291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093291, s2 = 15115907, int(edited[s2]) = 0 s1 = 11093291, s2 = 15115907, d1 = 13, d2 = 8 Dl.O(d1) = 256008142,12364355,8354694,8354693,5392623,5392626,6537003,5675002,5675000,8718443,9946239,9946243,14457178,12701207,12701208,17925853,13120519,8942890,8942891,13120521,255636757,25024002,18493056,18493055,16811521,11755934,11755931,16811498,15225092,10502106,6925028,6925029,10502111,15225104,21187506,19403360,13880136,9522385,6245631,3909805,2341086,2341085,3909804,254651240,8958589,8958588,13144263,15315898,15315897,21278106,28407409,28407408,36904742,42809759,42809760,256622300 Dl.O(d2) = 260846976,258628413,57748469,257709698,33277030,30096150,22714488,22714490,24886722,18387433,18387431,24886718,257742867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093291, s2 = 15115907, dlinesl.size( ) = 14 s1 = 11093309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093309, s2 = 11064444, int(edited[s2]) = 0 s1 = 11093309, s2 = 11064444, d1 = 3, d2 = 8 Dl.O(d1) = 255566987 Dl.O(d2) = 256019029,40057448,50078708,51297279,46680399,38090028,29526486,254558896,44609895,35228978,35228977,44609892,44609923,44609922,39749740,31071906,31071907,39143483,30544978,23126662,23126663,30544974,28297226,21089612,15148912,15148911,21089609,21656033,28933757,37475278,47382602,255993326,23783092,17452877,12303338,8310005,8310006,12303340,17452882,23783099,31268233,37479404,36794154,28297082,28297083,36794155,37475296,32473498,24833630,24833629,32473495,41319275,254832886,39271801,31705622,31705623,254832882,41319272,36794344,28297223,28297224,36794345,46680425,37980333,255156442,15980570,11093920,255074087,255450136,31170265,39851772,39851773,38767484,30183863,22794182,16577645,14960857,10293425,6766915,254706163,14960845,20862680,28030014,263461331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093309, s2 = 11064444, dlinesl.size( ) = 2 s1 = 11093309, s2 = 11064444, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11093309, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14744175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11093517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093517, s2 = 11473578, int(edited[s2]) = 0 s1 = 11093517, s2 = 11473578, d1 = 22, d2 = 29 Dl.O(d1) = 32599555,24937329,24937330,30044108,22668578,16472994,11477511,11477509,16472988,22668567,21041000,15113333,15113334,255804049,36734596,38281582,38281581,38583140,258224901,87208240,263607551,264269315,212464720 Dl.O(d2) = 230213383,274482049,264614944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093517, s2 = 11473578, dlinesl.size( ) = 28 s1 = 11093557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093557, s2 = 14115398, int(edited[s2]) = 0 s1 = 11093557, s2 = 14115398, d1 = 7, d2 = 12 Dl.O(d1) = 258888527 Dl.O(d2) = 273162889,176269462,165593074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093557, s2 = 14115398, dlinesl.size( ) = 14 s1 = 6570860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6570860, s2 = 6471332, int(edited[s2]) = 0 s1 = 6570860, s2 = 6471332, d1 = 27, d2 = 15 Dl.O(d1) = 256084262,25639536,25639535,25109326,25109325,32811967,41732467,34683888,257890673,38794024,38445869,29889476,256013611,17482016,17599537,12422496,12422497,17599539,23938428,255632763,18406693 Dl.O(d2) = 254900759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6570860, s2 = 6471332, dlinesl.size( ) = 24 s1 = 11095067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095067, s2 = 11011632, int(edited[s2]) = 0 s1 = 11095067, s2 = 11011632, d1 = 14, d2 = 25 Dl.O(d1) = 31769555 Dl.O(d2) = 5587578,3466544,3466543,5587575,8599070,12663530,17879842,14925329,10263265,6744115,6744114,10263259,10575408,6975734,6744222,4225985,2526872,1456321,824570,465657,262116,145300,145301,262119,465669,824600,1456376,2526981,4226195,6743781,6743784,10262622,14924370,16295973,11338205,9083948,6533346,6533345,9940315,6533368,6533373,9940379,14216604,19843903,14609339,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207908,16134247,20344377,14601864,11516302,7660677,4846888,4241912,2536227,2536224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095067, s2 = 11011632, dlinesl.size( ) = 26 s1 = 11095069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13365312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13365312, s2 = 10930594, int(edited[s2]) = 0 s1 = 13365312, s2 = 10930594, d1 = 6, d2 = 3 Dl.O(d1) = 85574381,84350997,70792190,58075004,47396116,37487814,28945346,28945347,37487821,47396073,46702973,40483342,31788325,31788324,39216202,49142868,50518974,40483314,40483315,50518978,51371599,41184998,32368563,24751279,18277203,12972282,12972280,18277199,24751271,31033930,23552421,17244063,17244064,23552427,31033938,256460014,71987258,74807887,64668444,52753484,52005323 Dl.O(d2) = 17807231,17807232,24175091,31683285,40376718,31683353,29979361,22612513,16428150,11443474,7609849,7609848,11443468,16428138,22612486,29979316,29979214,29979215,29979290,29979289,38548279,48460591,50411273,40634201,256056303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13365312, s2 = 10930594, dlinesl.size( ) = 2 s1 = 13365312, s2 = 10930594, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13365312, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 10930593, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11095263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095407, s2 = 11289642, int(edited[s2]) = 0 s1 = 11095407, s2 = 11289642, d1 = 29, d2 = 17 Dl.O(d1) = 31826944,24309665,17925002,16116381,16116380,22255149,256220459,257911145,81124886 Dl.O(d2) = 258531673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095407, s2 = 11289642, dlinesl.size( ) = 24 s1 = 11095741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095975, s2 = 11060862, int(edited[s2]) = 0 s1 = 11095975, s2 = 11060862, d1 = 10, d2 = 6 Dl.O(d1) = 40815649,50935081,40837418,32068804,32068805,38898473,32102992,32102289,24526671,18095169,18095171,24502250,18074229,13132199,13132201,18484599,13132207,268136635,25013445,32695794,41597943,51897942,51897943,60007844,51038562,51038564,41157354,32631623,32631624,32674745,24997652,24997651,32674707,32674706,41569581 Dl.O(d2) = 13126434,13126438,17866717,17866721,18475202,24760563,25000585,32678611,256817796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095975, s2 = 11060862, dlinesl.size( ) = 12 s1 = 6985054, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11096039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096039, s2 = 11036678, int(edited[s2]) = 0 s1 = 11096039, s2 = 11036678, d1 = 20, d2 = 2 Dl.O(d1) = 255731006 Dl.O(d2) = 13712491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096039, s2 = 11036678, dlinesl.size( ) = 14 s1 = 16029578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16029578, s2 = 14162503, int(edited[s2]) = 0 s1 = 16029578, s2 = 14162503, d1 = 18, d2 = 17 Dl.O(d1) = 219103061,221815069,218971173,215601634,211524664,211524663,206534757,200496832,193346840,185015646,175475250,164721075,152889258,140198177,259946262,99007588,99007587,112570037,112570038,260047860,100533642,100533643,114563910,119598156,119598155,133462013,139812148,152529449,162722754,150624609,137627666,137488460,123763584,123763583,109810890,102443406,92356923,78323238,78323237,92356922,106661531,109810894,95607773,95607774,109810896,103119344,89047511,75318693,75318692,89047509,84944445,84944442,89047512,103119339,89047506,89047505,270957885,89047504,89047514,75318695,62419921,50837286,40732489,40732488,50837285,58631230,71367859,84944045,74043158,61263213,49784120,39764635,39764636,49784121,258240221,67710170,80938005,94998289,98451451,99492111,85545197,71957295,59218889,49245377,49245376,52273039,41934229,41934230,52273040,64122127,77269417,80773233,67303228,67303227,80773231,67303229,54976232,44157008,44157006,47014946,47014947,58386199,55629707,55629706,55629709,44731705,35312306,27192587,27192588,35312308,41423706,39144062,39144061,46774655,46774654,36896553,28399027,21178686,15218384,10497607,6922216,6922215,10497606,15218382,21178682,28399021,36896550,44628495,43882667,34611509,26622612,26622611,21178689,15218385,10497609,6922217,4348784,2604587,1503129,852125,852124,254222885,4348773,6922200,10497589,15218363,21178648,28398973,28409468,24505498,18076867,12815553,8713405,8713404,9796721,6856345,4302893,2572659,2572660,4302897,2572680,1481269,837359,837360,1481271,2572687,267879725,4302821,4302822,6856230,10400925,10401209,10401208,15079746,20993760,20993765,15079751,15079750,15079635,10401114,10401113,15079634,10401167,6856390,4302922,4302921,6856387,10401160,255158270,9796649,6439860,6439862,9796656,9796627,6439846,4039364,4039365,6439850,6524909,9928164,10401158,10401097,6856334,4302884,2572654,1481257,1481258,2572656,4302888,6856338,10401104,6856529,4303004,4303006,6856481,10401292,10401399,6856592,6856555,4303024,4303023,254716161,255011467,6856629,6856628,10401500,15079848,15079844,20993872,28175215,36650897,36651584,36651106,28175565,23126873,23126872,30545192,36651583,268374809,20994553,28175935,29006120,37551715,47459239,58844666,70429636,57735377,46385547,37211981,28687549,28687550,37211982,29293874,29293875,255806772,59187858,71927442,85515085,99460968,112701283,98705478,88504080,74867886,74867885,71208521,58486833,47108786,37211980,256867407,257219271,64784548,77978671,91903120,106098202,120298699,134129734,147342258,140564381 Dl.O(d2) = 42066452,52410284,64265608,77415516,91334232,105552072,119785500,119785498,119785499,133655393,146907990,159277723,170611857,273444429,189634474,193847818,193847820,185588780,176124405,258554586,193847817,185588778,176124404,257333280,140996136,268343692,113780227,113780228,99766219,85812398,72218461,59481308,48091814,38180187,29613275,254216598,11199318,11199317,16122175,12698030,12698029,17921778,24305671,23410792,23410793,30840445,24970267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16029578, s2 = 14162503, dlinesl.size( ) = 2 s1 = 16029578, s2 = 14162503, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16029578, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 11096181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096181, s2 = 11268068, int(edited[s2]) = 0 s1 = 11096181, s2 = 11268068, d1 = 0, d2 = 8 Dl.O(d1) = 40880421,37047911,258667705 Dl.O(d2) = 112486074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096181, s2 = 11268068, dlinesl.size( ) = 8 s1 = 11096673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096673, s2 = 11485504, int(edited[s2]) = 0 s1 = 11096673, s2 = 11485504, d1 = 25, d2 = 19 Dl.O(d1) = 258335773,89609934,260801565,272949994 Dl.O(d2) = 265621665,220163685,264845036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096673, s2 = 11485504, dlinesl.size( ) = 20 s1 = 11096731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096731, s2 = 10987384, int(edited[s2]) = 0 s1 = 11096731, s2 = 10987384, d1 = 10, d2 = 8 Dl.O(d1) = 254307426,12922882,8791038,5819416,5819421 Dl.O(d2) = 18455039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096731, s2 = 10987384, dlinesl.size( ) = 14 s1 = 16107881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16107881, s2 = 11306298, int(edited[s2]) = 0 s1 = 16107881, s2 = 11306298, d1 = 72, d2 = 71 Dl.O(d1) = 260193457,89391318,75630029,62685169,51054409,40912391,32134564,32134563,40912390,51054410,62685170,75630032,89391321,103485595,117616158,131417075,144639840,157037930,168484898,263287075 Dl.O(d2) = 78443216,65558405,256393424,43053679,33994804,26153169,255082112,43053678,256393422,78893367,93003199,93003202,78893368,257515736,107411303,93003197,78893366,78893367,93003199,93003202,78893368,65558403,65558404,78893369,93003205,107411312,107411313,107411311,93003201,78893368,257515736,107411303,107411302,259373868,93003204,93003205,107411316,121793928,107411310,107411303,107411302,121793920,258748782,93003201,78893368,257515736,107411303,107411302,121793920,135733408,121793926,259373872,121793928,121793929,259373870,121793925,259991900,148972347,161278125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16107881, s2 = 11306298, dlinesl.size( ) = 2 s1 = 16107881, s2 = 11306298, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16107881, Dl.E( ) = 74, 1.91e-05 seconds used appending s1 = 11097055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097055, s2 = 11209342, int(edited[s2]) = 0 s1 = 11097055, s2 = 11209342, d1 = 22, d2 = 25 Dl.O(d1) = 41195424,51386206,60060393,48663488,48663489,60060395,72314932,59580334,48193890,38284601,29718029,29718028,38284599,256865074 Dl.O(d2) = 254334512,254733406,22030827,29361554,256919063,21555756,15535325,10744126,10744125,15535324,21555754,255823145,15321700,15321699,15535239,10744057,10744058,15535242,10744078,10744077,15535264,21555697,28826548,37073760,46953915,37366839,37366838,47276807,268923893,28826564,21555710,15535277,10744088,10744087,15535275,21555709,28826554,37366810,257458071,47276557,37366830,28826571,21555716,255844693,37366827,47276820,58668331,61301496,53801715,43276894,257263105,47276726,37366724,28826472,28826471,37366722,47276721,256935076,58117085,46748373,36869003,28372267,28372268,255458412,58117087,256386140,47276562,47851050,47851052,53801702,43276876,34180448,34180449,34180475,34180474,43276904,49717972,49717970,53801717,43873974,256666120,26308980,19584103,19584104,26308982,34180463,41968226,41968225,43276895,269141863,53801724,268755516,26308993,26308992,26308988,19584107,14030554,14030555,19584108,26308990,34180477,43276896,39699219,39699218,49717976,52308569,48840789,38920346,30334023,30334024,38920347,47985370,59375384,59641401,48254760,256336158,22409913,16246401,268029458,6342081,6342080,9645935,14030557,19584110,18724372,18724373,25298976,25298983,25298982,33025254,41968231,52308578,64159803,66874048,54616300,43873970,43873969,257098220,33964938,26126752,26126751,33964937,41968232,47662114,37740235,29179361,29179362,268812389,26616256,256199265,43873971,256948268,38803610,38803609,268946026,65375248,74505829,74505828,71847326,59108666,47710691,257487713,71847324,60589722,49189433,49189434,60589723,70683962,57965762,57965763,48565769,47331397,256236664,256806518,70329546,76979170,63868156,63868143,52049003,41734470,32813928,256619713,257595369,49150407,60549713,269084478,25111004,18561266,18561267,25111006,32813939,32813929,32813930,32813940,32813949,269068303,269490079,63868154,257174157,32813936,32813937,41734479,41734468,41734467,268735555,25111018,18561276,13189583,8991275,5870285,5870284,8991273,13189578,18561269,25111009,32813942,41734483,32813947,25111012,256105155,41734485,50654237,40604181,31895121,24366827,24366826,25110996,32813923,41734464,42867450,33826364,26008670,19334857,257241937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097055, s2 = 11209342, dlinesl.size( ) = 20 s1 = 11097119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097119, s2 = 11123186, int(edited[s2]) = 0 s1 = 11097119, s2 = 11123186, d1 = 0, d2 = 0 Dl.O(d1) = 65764376,59759249,256958337,29916003,29916004,38474695,48376580,59759268,65764278,53707353,43195631,34109377,26245384,19528015,13980933,9602866,9602867,13980936,19528032,256180033,41217970,41217971,51414281,258347863,89921670,76115826,72535866,72535867,72493357,72493356,79120245,65764355,65764356,79120247,93236780,93236755,93236756,107640139,258530640,100053774,100053775,258530642,93372004,79244120,79244118,70457307,70457306,83985232,81570422,68080647,258551623,95603878,81570424,258252282 Dl.O(d2) = 65764376,59759249,256958337,29916003,29916004,38474695,48376580,59759268,65764278,53707353,43195631,34109377,26245384,19528015,13980933,9602866,9602867,13980936,19528032,256180033,41217970,41217971,51414281,258347863,89921670,76115826,72535866,72535867,72493357,72493356,79120245,65764355,65764356,79120247,93236780,93236755,93236756,107640139,258530640,100053774,100053775,258530642,93372004,79244120,79244118,70457307,70457306,83985232,81570422,68080647,258551623,95603878,81570424,258252282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097119, s2 = 11123186, dlinesl.size( ) = 2 s1 = 11097119, s2 = 11123186, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11097119, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11097127, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11097205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097205, s2 = 10977598, int(edited[s2]) = 0 s1 = 11097205, s2 = 10977598, d1 = 13, d2 = 9 Dl.O(d1) = 32415935,256084778 Dl.O(d2) = 18307535,24790334,24878219,18380276,13054840,8895005,5803377,3619365,2161174,2161172,1923725,1099018,1099020,1737757,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281682,1737242,2992430,4956823,7814053,11712264,16759222,267917006,254765754,11102822,15993787,16497658,16497659,21335135,16020421,16020422,11494611,7645190,254790777,16497649,12497974,8465896,5471752,5471753,8465900,11126232,12494820,8463204,8463205,12494822,17669341,16543771,12497621,12497622,12497966,8465886,8465885,12497963,12496022,8464283,8464284,12496025,12497833,8465753,5471617,5471616,8465750,12497831,12494841,12494843,8465713,5472093,5471611,3366363,3366365,5471395,254408501,3362801,5468177,5471355,3366093,1980216,1980215,3366092,5469680,5467374,5467376,3363660,3362227,1976791,1130922,634243,351976,192773,192774,351981,634252,1130933,1977116,1977115,3362663,1980510,1131010,1131011,1977117,3362665,5468024,8462262,8465682,8461899,254603371,5471456,5471434,3366171,3366172,5471437,5473124,8467256,12499819,17672912,17247149,254833463,5231259,5231260,8160563,12129107,17247154,23556176,31038190,39715637,40211319,49734282,39715487,31037918,23555861,17246841,12128773,12128772,17246839,23555860,31037916,39715485,35165967,35165962,27078215,27078213,35165960,40203925,50225953,40211340,40211339,44639649,35255047,27155948,27155949,35255049,33445003,25674414,19052917,19052918,25674417,33445004,31525922,31507460,24007973,17661872,12489524,12489522,17661864,24007957,256029721,24015583,31516911,24023756,17673829,12498203,12498202,17673828,24023755,31525665,268395006,49304739,41936013,32995158,32995159,40206262,40211612,39377084,39377083,49304743,60707123,70442736,269296529,256277007,20897821,14993611,10324499,10324498,14993609,20897817,28069057,31527952,255583822,50427653,40394193,31701886,24194084,24194085,28069055,25888675,25888676,33694976,37002782,28504964,28504965,23797224,17464888,12312817,12312818,17464892,23797229,31283297,37002815,28504984,28504983,30282027,30282028,28504936,21286104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097205, s2 = 10977598, dlinesl.size( ) = 12 s1 = 11097313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10485605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13368358, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13368574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097835, s2 = 13030347, int(edited[s2]) = 0 s1 = 11097835, s2 = 13030347, d1 = 12, d2 = 7 Dl.O(d1) = 33941110,42995656,53470918,257164521,32670584 Dl.O(d2) = 8946450,13126394,13126392,18476648,20997516,20997517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097835, s2 = 13030347, dlinesl.size( ) = 14 s1 = 10697953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16210321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097871, s2 = 10785888, int(edited[s2]) = 0 s1 = 11097871, s2 = 10785888, d1 = 20, d2 = 19 Dl.O(d1) = 256172384,63660776 Dl.O(d2) = 258367343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097871, s2 = 10785888, dlinesl.size( ) = 2 s1 = 11097871, s2 = 10785888, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11097871, Dl.E( ) = 36, 2.69e-05 seconds used appending s1 = 11098019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098019, s2 = 11508782, int(edited[s2]) = 0 s1 = 11098019, s2 = 11508782, d1 = 19, d2 = 28 Dl.O(d1) = 32720273,25033614,25033615,32720277,33478650,25705473,19078779,13620920,9326851,9326852,12225053,12225054,255020159,10497278,15217885,16806890,11752726,11752725,16806887,21189788,15226899,15226898,21189786,258031663,259902539,126178239 Dl.O(d2) = 273524881,264168371,211261724,265693237,265924360,265634544,217447618,264620326,189523145,180617823,170480152,170480153,180617827,180617820,180617819,189523161,197218717,263707524,189523152,189523165,189523164,197218721,203782727,203782725,264620321,203782686,197218684,189523137,180617801,170480138,170480137,180617800,189523135,189523159,197218715,197218707,263333314,180617811,189523152,189523165,180617822,262456536,261420106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098019, s2 = 11508782, dlinesl.size( ) = 28 s1 = 1901340, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13464033, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10488532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10488532, s2 = 4056874, int(edited[s2]) = 0 s1 = 10488532, s2 = 4056874, d1 = 20, d2 = 18 Dl.O(d1) = 64156693,77305013,91224865,91224861,77305011,77305010,91224860,105447292,271981345,119686020,133561106,133561105,133561104,119686021,119686019,105447295,105447294,260840762 Dl.O(d2) = 37783529,269330769,257934198,81614543,68124873,55727143,268179404,27266987,20331664,14591370,254476712,27266989,35393484,44819290,55727144,68124874,257333792,95647498,109850524,123989134,137670397,150666936,150666935,162761787,173762168,162761789,162761788,173762171,183531649,192074807,192074808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10488532, s2 = 4056874, dlinesl.size( ) = 2 s1 = 10488532, s2 = 4056874, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10488532, Dl.E( ) = 22, 6.2e-06 seconds used appending s1 = 11098225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098225, s2 = 11413140, int(edited[s2]) = 0 s1 = 11098225, s2 = 11413140, d1 = 12, d2 = 11 Dl.O(d1) = 271589744,89217320,75464512,62541288,62541287,53338194,257834977 Dl.O(d2) = 263381591,264384370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098225, s2 = 11413140, dlinesl.size( ) = 14 s1 = 11098247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098247, s2 = 11659796, int(edited[s2]) = 1 s1 = 14909951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098449, s2 = 11376114, int(edited[s2]) = 0 s1 = 11098449, s2 = 11376114, d1 = 16, d2 = 19 Dl.O(d1) = 254967568,9000871,9000873,13203360,18579135,13203383,9000887,9000888,13203385,18579170,19817311,14195346,14195345,19817308,19815560,14194115,9757701,9757699,9231170,9231168,13492634,13492632,18926391,24264813,18870216,13492668,13492666,18926441,25133980,31759222,39525308,30914790,23477916,17195406,17195405,23477913,20882918,20882919,28051556,29263771,35081083,34617797,30054627,22678372,16481254,11483601,7638175,4832550,4832551,7638183,11483618,16481293,13493336,9231534,6045928,6045929,9231319,6045824,3782840,3782841,6045884,3782829,2266035,2266036,3782835,5431096,3338619,3338618,5431086,8415621,12447335,17627186,22393001,16233319,16233317,22392990,29753470,33998647,31049594,23565245,19816944,14415156,9914120,6515308,4082298,2442561,2442566,4082316,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,24148084,24148085,31658170,38322849,37248643,33471438,25698220,25470019,22549359,16372963,16372961,22549353,29753499,33993006,39359693,42282625,36824355,33541138,33541139,42557405,42282390,42282391,41758244,40499430,31804283,24289676,24289675,31804280,40499427,33301808,33301809,255912784,52533113,256119352,37885804,29316909,29316907,31395742,33722499,25915645,25915646,24011529,24011530,26414363,19678547,19678548,19678527,19678528,19467573,19467572,26168344,21118371,21118369,28328811,29322416,25655801,25655803,28473000,21253078,15288247 Dl.O(d2) = 12228597,17358394,23678495,27988591,27988592,30184795,22795040,16578384,16578385,255938025,38768481,255829004,28581511,37086166,269311620,84615594,259917595,260520073,139796479,270871982,30730955,30730956,33320713,25558843,25558844,33320717,34666040,26672897,19855860,19855859,26672895,30899697,39507199,39507208,30899710,30899707,25652279,19033564,13586138,269515027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098449, s2 = 11376114, dlinesl.size( ) = 8 s1 = 11098519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098519, s2 = 10697140, int(edited[s2]) = 0 s1 = 11098519, s2 = 10697140, d1 = 36, d2 = 15 Dl.O(d1) = 255645831,5878735,5878734,9005597,268484745,31891503,25481972,18879601,18879602,25146864,30114190,30114191,33230990,25482370,18879965,13454308,13454309,18879963,13454307,13454287,13454282,9200888,9200887,255666307,255484908,25146884,18590734,18590733,14116781,9712081,9712053,9202763,9202762,13457271,15234661,10509452,10509449,15234652,18744579,13344460,9117855,5965866,5965867,9117857,13344463,18744625,25193598,30871563,39475140,49403708,263219097,194854173 Dl.O(d2) = 228192873,265546359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098519, s2 = 10697140, dlinesl.size( ) = 54 s1 = 11098551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098627, s2 = 11308522, int(edited[s2]) = 0 s1 = 11098627, s2 = 11308522, d1 = 1, d2 = 23 Dl.O(d1) = 32903763 Dl.O(d2) = 260850081,271024491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098627, s2 = 11308522, dlinesl.size( ) = 2 s1 = 11098627, s2 = 11308522, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11098627, Dl.E( ) = 28, 1.31e-05 seconds used appending s1 = 14242413, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11098753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098753, s2 = 14044356, int(edited[s2]) = 0 s1 = 11098753, s2 = 14044356, d1 = 7, d2 = 7 Dl.O(d1) = 41891451,256809982,25990544,19319666,19319665,23481576,30918668,37879739,29310876,21983034,15887294,11013178,7290583,4597447,4597448,7290587,11013184,14237070,254301724,16108452,11189025,7424073,254352409,267974241,16108445,12146550,12146549,13287558,18680431,18700513,20340093,14598062,14598063,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448989,4448986,4766408,4766409,7534840,11338444,16296264,11509537,9067350,5928949,3707210,3707211,5928954,5578409,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442095,4081284,6512880,9909404,14407123,20094371,21218884,17335651,12209930,8240921,5312733,3262254,1917017,1094936,1094938,1917019,3262259,5312474,3262246,3262245,5312722,8240429,5312448,3262109,3262108,5312443,8240418,5312453,5312452,8240433,10784871,12209794,8240845,8240846,12209797,17335440,23652413,254321618,39998991,39998992,48854360,48854361,39998994,31321448,23831151,268255509,8338182,5381784,3309418,1946910,1112328,624170,624164,1112331,1467388,1458739,830217,830215,1111907,1111906,826054,623982,623983,1111899,1946349,2533975,2533974,1462142,827587,467144,262850,145632,145631,262845,467130,737144,419053,236481,236475,419019,466635,826538,1460149,1473112,1466837,833043,833044,834303,834306,1473706,2558627,1475536,267784985,4266484,2550794,2550795,4266485,6803225,7028937,5660447,3520349,2094186,2094188,3520355,2679145,1551888,1551889,2679151,4459789,7083656,6787635,4255253,4255255,6787643,10317784,14968961,10301102,10301101,14117254,14981665,15028129,10355880,10355879,10353301,10353302,10281149,10281148,8658205,8658202,12112960,12112957,15504902,17198969,17198968,255135552 Dl.O(d2) = 41891451,256809982,25990544,19319666,19319665,23481576,30918668,37879739,29310876,21983034,15887294,11013178,7290583,4597447,4597448,7290587,11013184,14237070,254301724,16108452,11189025,7424073,254352409,267974241,16108445,12146550,12146549,13287558,18680431,18700513,20340093,14598062,14598063,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448989,4448986,4766408,4766409,7534840,11338444,16296264,11509537,9067350,5928949,3707210,3707211,5928954,5578409,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442095,4081284,6512880,9909404,14407123,20094371,21218884,17335651,12209930,8240921,5312733,3262254,1917017,1094936,1094938,1917019,3262259,5312474,3262246,3262245,5312722,8240429,5312448,3262109,3262108,5312443,8240418,5312453,5312452,8240433,10784871,12209794,8240845,8240846,12209797,17335440,23652413,254321618,39998991,39998992,48854360,48854361,39998994,31321448,23831151,268255509,8338182,5381784,3309418,1946910,1112328,624170,624164,1112331,1467388,1458739,830217,830215,1111907,1111906,826054,623982,623983,1111899,1946349,2533975,2533974,1462142,827587,467144,262850,145632,145631,262845,467130,737144,419053,236481,236475,419019,466635,826538,1460149,1473112,1466837,833043,833044,834303,834306,1473706,2558627,1475536,267784985,4266484,2550794,2550795,4266485,6803225,7028937,5660447,3520349,2094186,2094188,3520355,2679145,1551888,1551889,2679151,4459789,7083656,6787635,4255253,4255255,6787643,10317784,14968961,10301102,10301101,14117254,14981665,15028129,10355880,10355879,10353301,10353302,10281149,10281148,8658205,8658202,12112960,12112957,15504902,17198969,17198968,255135552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098753, s2 = 14044356, dlinesl.size( ) = 2 s1 = 11098753, s2 = 14044356, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11098753, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14044355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10860220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10860220, s2 = 11099014, int(edited[s2]) = 0 s1 = 10860220, s2 = 11099014, d1 = 15, d2 = 11 Dl.O(d1) = 33600978,33600979,42625489,53073026 Dl.O(d2) = 65055480,259065829,258386334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10860220, s2 = 11099014, dlinesl.size( ) = 6 s1 = 11099055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11099221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099221, s2 = 11659490, int(edited[s2]) = 0 s1 = 11099221, s2 = 11659490, d1 = 21, d2 = 22 Dl.O(d1) = 33032519,25305963,18730452,13333947,255252911,25305962,26692907,34687343,43962566,54706326,51354085,268814530,54706321,61664500,74448474,88060556,102045814,109872146,95668108,256809590,68144524,270155401,44838951,35413855,27289193,20354451,20354452,20854706,14953882,14953883,20854708,255360344,46338950,57686098,70378183,83902626,92371441,259062558,117387260,103257969,89168027,75420289,62501165,50900839,40784199,32027724,24465706,18046089,12792665,8697139,5660863,3520608,2094342,1205041,1205043,2094347,3520617,5660879,8697165,12792707,18046148,21629073,15598115,10790446,7129022,6938140,6938138,10520607,15250067,21218913,28444854,36944389,46822241,58188373,58188377,257395602 Dl.O(d2) = 98367327,259256994,98367333,261637651,164196649,262618308,192995158,192995159,264459545,214878565,214878564,213597552,213597551,217328062,220434456,218771169,215381207,215381208,274169210,224090650,223647742,221135491,218200493,214705965,214705964,218200492,218200494,214705968,210458405,264671305,205259563,198977234,191546553,182900540,262550853,149529124,136265120,136265119,149529122,136265121,122290141,107875607,107875606,107875608,93447277,79316160,270071971,53885251,53885250,65952049,79316161,93447279,107875610,107046482,107046481,121344256,107046478,271589979,135196678,148367375,160634076,272735823,135196676,148367372,160634071,171825131,181792809,190530763,198073802,204500936,204500937,209859631,214252297,217859013,264821912,264293378,196728197,188967003,180009342,273435837,264036555,208938246,208938249,208938250,213511848,217258210,220377933,220377932,223026539,225311099,227296752,229031416,229295300,227601435,225665569,223442132,223442131,225665568,274494751,229295298,227601432,227601433,229295299,230793699,229295301,227601436,225665572,225665571,274437101,223205473,220597793,217532580,213860274,209386888,203936772,203936773,209386890,209386886,264055095,197404747,189735023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099221, s2 = 11659490, dlinesl.size( ) = 8 s1 = 11099413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099413, s2 = 11599452, int(edited[s2]) = 0 s1 = 11099413, s2 = 11599452, d1 = 22, d2 = 21 Dl.O(d1) = 259647921,119736191,261964603,157048874,159239532 Dl.O(d2) = 274232031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099413, s2 = 11599452, dlinesl.size( ) = 34 s1 = 11099547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099547, s2 = 11339802, int(edited[s2]) = 0 s1 = 11099547, s2 = 11339802, d1 = 12, d2 = 10 Dl.O(d1) = 255659111,13379378,254647781,3742029,2240176,1299057,741362,421338,237766,237770,421349,741386,1299101,2240201,3742069,3742153,2955769,1713906,1713905,2955764,2445508,2445509,4087667,6523884,4870127,2934709,1702014,967526,967532,1701971,1701968,1698944,967577,967578,966046,966043,1699046,2929054,4860591,7681734,5758063,3585805,2137155,2137156,3585812,5758082,7598897,11430195,16408036,16408035,255503519,16563324,16563325,16652255,21468880,21309963,15340012,10595348,10595349,11553521,11553520,7748097,4906804,4906803,7683410,7683411,11548827,7742310,7729006,7697096,6837327,6837328,7585868,4798123,4798122,4630047,2789284,2789283,4629824,7329052,7586182,4798317,254241079,954978,954976,1678616,2892228,4798308,7586162,7746864,4905714,4905716,7746869,11080745,7623155,7623154,11460710,14342447,14342446,255737453,34988954,44367061,258523241 Dl.O(d2) = 260984867,261847474,50220509,44497346,35119892,35119893,257913249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099547, s2 = 11339802, dlinesl.size( ) = 14 s1 = 11099663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099663, s2 = 10443237, int(edited[s2]) = 0 s1 = 11099663, s2 = 10443237, d1 = 16, d2 = 11 Dl.O(d1) = 255660627,18810335,25398386,25398387,25398384,25398385,33136409,33136410,257194265,64298117,259026099 Dl.O(d2) = 255049801,7167203,4514126,254508403,10841613,15661047,10841494,7167133,7167134,10841138,7166924,7166925,10841143,7167185,7167189,10841585,15661173,15659830,10840721,7166658,4513811,2712267,2712266,4513804,267967025,15659810,21699786,28982135,28982684,28982686,37212742,37212740,28982624,21700192,15660086,15660085,15660849,10841379,7167065,4514047,4514045,7167060,10841373,15660839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099663, s2 = 10443237, dlinesl.size( ) = 18 s1 = 11099973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100169, s2 = 12262288, int(edited[s2]) = 0 s1 = 11100169, s2 = 12262288, d1 = 8, d2 = 7 Dl.O(d1) = 42212175 Dl.O(d2) = 39992049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100169, s2 = 12262288, dlinesl.size( ) = 16 s1 = 11100271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100271, s2 = 11358674, int(edited[s2]) = 0 s1 = 11100271, s2 = 11358674, d1 = 0, d2 = 30 Dl.O(d1) = 42265465 Dl.O(d2) = 259666295,120083751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100271, s2 = 11358674, dlinesl.size( ) = 32 s1 = 11100291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100291, s2 = 10978530, int(edited[s2]) = 0 s1 = 11100291, s2 = 10978530, d1 = 15, d2 = 18 Dl.O(d1) = 260282553 Dl.O(d2) = 113368823,257085104,36776540,36776541,29746317,29746316,23626531,17310739,254136638,12186628,12186625,17310633,23626386,31112902,24044925,254274566,8477475,8477474,12513600,17692582,24044924,31548387,40234318,50253721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100291, s2 = 10978530, dlinesl.size( ) = 8 s1 = 13372440, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14040439, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11100479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100479, s2 = 11433968, int(edited[s2]) = 0 s1 = 11100479, s2 = 11433968, d1 = 8, d2 = 1 Dl.O(d1) = 33327283,254158484,18956070,17404812,17404814,23728683,23896605,23896604,31391404,31403540,255026854,14447775,14447774,20141980,27034844,28467079,21245356,21245355,22776294,22776293,23916725,29673811,28486912,21270671,21270670,17150017,17150018,23427546,28486922,21270683,21270684,20970845,15060762,15060763,20970836,22214077,23700257,27228633,20299642,14567381,14567382,20299644,23898276,23898275,31210517,39888879,255821008,74151578,87755716,271388909,129670035,129670036,142997830,155546723,261088504,177677450 Dl.O(d2) = 272829660,262644266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100479, s2 = 11433968, dlinesl.size( ) = 2 s1 = 11100479, s2 = 11433968, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11100479, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11100621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100757, s2 = 11001074, int(edited[s2]) = 0 s1 = 11100757, s2 = 11001074, d1 = 9, d2 = 3 Dl.O(d1) = 33383908 Dl.O(d2) = 19004000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100757, s2 = 11001074, dlinesl.size( ) = 8 s1 = 14063681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13373214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14190286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14190286, s2 = 8492491, int(edited[s2]) = 0 s1 = 14190286, s2 = 8492491, d1 = 216, d2 = 189 Dl.O(d1) = 8371611,8371609,12388477,12388520,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,15058298,15058295,20967980,254727066,17396610,17396611,23603713,17290834,12169753,8373981,5404372,3322629,1954283,1116440,1116441,1954286,3322631,254596021,12391548,15789027,21861609,29171309,36743523,255672704,15118236,15118240,21047626,23704617,17381838,17381840,23704622,255389548,13501047,9237038,6049756,3785726,3785727,6049760,8621693,8621689,12691443,255596555,31811731,257105267 Dl.O(d2) = 140106988,126757847,112905340,98917632,84992555,71418960,58685531,47294717,268073740,2687612,4473419,2687561,1556748,254227129,4473414,7105390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14190286, s2 = 8492491, dlinesl.size( ) = 30 s1 = 11101375, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11101401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101401, s2 = 11191466, int(edited[s2]) = 0 s1 = 11101401, s2 = 11191466, d1 = 7, d2 = 2 Dl.O(d1) = 255675946 Dl.O(d2) = 2296913,3833706,6127162,9353990,13544642,9272534,6073838,3800363,3800364,6073840,9272536,268147367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101401, s2 = 11191466, dlinesl.size( ) = 14 s1 = 11101435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101435, s2 = 11517774, int(edited[s2]) = 0 s1 = 11101435, s2 = 11517774, d1 = 96, d2 = 58 Dl.O(d1) = 257818233,78271870,92299161,259691837 Dl.O(d2) = 265774286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101435, s2 = 11517774, dlinesl.size( ) = 50 s1 = 11101525, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11101759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101759, s2 = 11184016, int(edited[s2]) = 0 s1 = 11101759, s2 = 11184016, d1 = 30, d2 = 33 Dl.O(d1) = 269133885,19512233,26227400,259098103 Dl.O(d2) = 256442802,55485079,256986842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101759, s2 = 11184016, dlinesl.size( ) = 26 s1 = 11101895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101895, s2 = 11370010, int(edited[s2]) = 0 s1 = 11101895, s2 = 11370010, d1 = 50, d2 = 53 Dl.O(d1) = 254114332 Dl.O(d2) = 270017715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101895, s2 = 11370010, dlinesl.size( ) = 60 s1 = 11101899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101899, s2 = 11095070, int(edited[s2]) = 0 s1 = 11101899, s2 = 11095070, d1 = 11, d2 = 14 Dl.O(d1) = 33704296 Dl.O(d2) = 48220159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101899, s2 = 11095070, dlinesl.size( ) = 20 s1 = 15865928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11102065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102065, s2 = 11110556, int(edited[s2]) = 0 s1 = 11102065, s2 = 11110556, d1 = 44, d2 = 43 Dl.O(d1) = 42761187,269299900,33830702,26012688,19338391,256166613,42871890,53333099,65330637,78627210,92681457,102283488,116372463,130207145,143533762,156068190,156068163,156068164,156068180,143533756,130207130,130207129,143533754,262362109,167672904,160600183,160600184,171799072,178131474,178131461,167672894,156068144,143533725 Dl.O(d2) = 116372438,130207111,143121417,129791625,115893239,101848151,88291169,74666589,61875082,50385666,40351023,31656442,255585877,17780170,24146533,31656443,24146562,255196047,8536058,5534038,3419540,3419538,5534035,8536052,12583376,17780162,19151100,25796712,19151102,13675111,13485212,9226159,254924577,18916077,25525435,33285654,33954056,26117141,19423889,13897383,9536665,6256233,3916455,3916456,6256237,9536670,13897393,19423905,19423869,13897372,13897371,13485254,9226180,6042303,6042302,9226179,13485251,18916136,24146490,25525585,19423852,13897363,13897365,19423859,24146549,17780180,12583385,12583384,17780176,18152587,18152588,13485234,13485235,18916111,25525452,25525453,25525551,18916165,18916166,25525555,33285807,40350991,33953931,255704359,13897342,13897341,19423821,26117042,25525560,18916169,13485270,9226185,6042304,6042305,9226189,13485279,18916183,25525581,33285847,33285760,25525513,25525514,33285762,42265664,33285708,25525478,19423831,13897349,9536652,6256223,6256224,9536654,13897355,19423841,26117073,33953978,33285679,33285680,25525563,18916171,13485274,13485275,18916173,25525569,33285830,42265817,42265833,42265834,52651756,63578852,52651619,52651618,256649671,33285844,42265831,52651752,64551367,77733934,91662070,105870626,116372422,130207088,136754539,136754538,126389833,126389828,112519232,112519233,126389830,112519237,98524360,84599421,269778373,46952488,37072544,37072543,46952487,37072540,28569737,21341969,21341970,28569740,257435677,37072538,28569735,21341972,15367381,10617960,7007081,7007082,10617961,15367382,15367411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102065, s2 = 11110556, dlinesl.size( ) = 42 s1 = 11102385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102385, s2 = 11005608, int(edited[s2]) = 0 s1 = 11102385, s2 = 11005608, d1 = 16, d2 = 14 Dl.O(d1) = 33824396,26006827,26006828,33824398,42865487,53327028,65325029,61931092,61931091 Dl.O(d2) = 256381228,16016978,11121041,7376395,254523252,1628731,254235085,4660133,7376400,11121023,7376382,4660124,2807554,1628728,926140,926141,1628730,2807557,4660127,7376389,7376380,7376379,11121020,255450681,29467501,22132313,22132314,29467620,22414598,22132217,22132216,29467510,38030112,29467574,22132280,16016995,11121055,7376405,4660135,2807559,2807560,4660136,7376406,11121057,16016998,22132284,29467540,22132249,22132248,29467538,38030153,38030183,38030184,47944156,46671302,36785163,36785164,46671304,47944163,47944162,38030205,29467589,29467587,38030201,43845391,54589763,43845399,43845401,54589777,66848520,66848514,54589771,43845397,255312432,19782780,14169834,14169835,19782783,26587072,26587073,34573931,34573936,34573937,43845396,36532716,28066199,20895274,14991402,14991401,20895269,28066189,36532708,46393276,57743783,64800132,58390305,54589787,43845411,35350647,27227686,254962034,34573796,254680300,30837352,255724880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102385, s2 = 11005608, dlinesl.size( ) = 14 s1 = 11102479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102479, s2 = 11323184, int(edited[s2]) = 0 s1 = 11102479, s2 = 11323184, d1 = 12, d2 = 10 Dl.O(d1) = 257243933,65365743 Dl.O(d2) = 135218398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102479, s2 = 11323184, dlinesl.size( ) = 20 s1 = 11102499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102499, s2 = 12882345, int(edited[s2]) = 0 s1 = 11102499, s2 = 12882345, d1 = 111, d2 = 68 Dl.O(d1) = 33855334,33855335,42900443,53366560 Dl.O(d2) = 261419535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102499, s2 = 12882345, dlinesl.size( ) = 42 s1 = 11102593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11102753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102753, s2 = 14136046, int(edited[s2]) = 0 s1 = 11102753, s2 = 14136046, d1 = 30, d2 = 43 Dl.O(d1) = 255274410,256660544,107362332 Dl.O(d2) = 204945568,204945567,204105975,197597163,273792573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102753, s2 = 14136046, dlinesl.size( ) = 42 s1 = 11102781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102781, s2 = 11009460, int(edited[s2]) = 0 s1 = 11102781, s2 = 11009460, d1 = 25, d2 = 22 Dl.O(d1) = 259090223 Dl.O(d2) = 256037028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102781, s2 = 11009460, dlinesl.size( ) = 26 s1 = 11102943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102943, s2 = 10639827, int(edited[s2]) = 0 s1 = 11102943, s2 = 10639827, d1 = 13, d2 = 11 Dl.O(d1) = 255149222,39445287,30840947,30840946,39445285,38169921,29602910,29602909,38169919,32782767,25085226,25085227,257171847 Dl.O(d2) = 259629495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102943, s2 = 10639827, dlinesl.size( ) = 14 s1 = 11103001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11103001, s2 = 11031420, int(edited[s2]) = 0 s1 = 11103001, s2 = 11031420, d1 = 4, d2 = 24 Dl.O(d1) = 34013179 Dl.O(d2) = 255490566,9565646,6819662,4277952,4277953,6819665,10307687,6779172,4249346,2540423,2540424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11103001, s2 = 11031420, dlinesl.size( ) = 26 s1 = 11103055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11837994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11103289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11103289, s2 = 11838007, int(edited[s2]) = 0 s1 = 11103289, s2 = 11838007, d1 = 13, d2 = 0 Dl.O(d1) = 269140013 Dl.O(d2) = 2229318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11103289, s2 = 11838007, dlinesl.size( ) = 2 s1 = 11103289, s2 = 11838007, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11103289, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11838008, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11103359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11103417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11103651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11838116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13377110, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13377740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14874500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8021827, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11104215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11104383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104383, s2 = 11059910, int(edited[s2]) = 0 s1 = 11104383, s2 = 11059910, d1 = 5, d2 = 18 Dl.O(d1) = 34677663 Dl.O(d2) = 19865530,19865532,26683986,34677666,27198430,20271867,18183934,12896278,12896279,18183937,18645453,25209942,32925055,32131609,29737535,29737537,32238736,26675843,19858587,14227540,14227541,10831360,10831362,15419217,15648690,17240253,14501242,9978406,9978404,14501238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104383, s2 = 11059910, dlinesl.size( ) = 8 s1 = 11104423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11104511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11104535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104535, s2 = 10843049, int(edited[s2]) = 0 s1 = 11104535, s2 = 10843049, d1 = 54, d2 = 8 Dl.O(d1) = 254388592,254260706,15630595,21666498,28945677,37488229,31733873,24225201,17853395,17853396,24225206,31733879,30711053,23294451,17034752,17034751,23294449,28904226,28904225,25772837,19132712,19132713,22466295,16298218,16298217,19586968,16903942,11829664,11829663,14254897,9797928,9797927,9561135,9561136,6605147,4137575,4137574,6605142,10051921,14608291,14608252,14608253,14256063,14256062,14599506,14599503,14256142,11843562,11843564,14537093,14537092,10052165,10052163,14608639,19002731,13561936,9285364,9285366,13338219,18736360,14955468,10289039,10289040,10788377,10788376,15595052,17334075,12208689,12208686,14609021,10052394,6605381,6605380,10052391,14609011,14940243,10275429,10275430,14940246,11532954,9067371,5928967,5928966,4767144,2873644,1667783,1667784,2873650,4767148,7534878,4766458,4766461,7534946,11338608,14216612,19843922,19541930,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787277,10787272,11338937,11338940,14189585,14189588,19809683,19809676,19809675,15048932,15048930,14924503,10262710,10262707,14924500,20822442,22755860,16544555,11531009,10423387,6872155,6872158,7125346,4486115,4486112,4225910,2526836,2526838,4225916,6744087,7125307,10375926,6837023,4289896,4289898,6837039,10375963,15049270,12209628,8240743,8240744,8336405,12339661,254440132,254912430,254467284,18508214,13149901,13149905,16069257,22198257,28138270,20960206,20960201,28138253,36611866,36871614,28375037,21157937,15202189,15202187,255018918,28013797,28013796,36474238,255544154,31396611 Dl.O(d2) = 61460369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104535, s2 = 10843049, dlinesl.size( ) = 10 s1 = 11101357, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11104835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104835, s2 = 14068562, int(edited[s2]) = 0 s1 = 11104835, s2 = 14068562, d1 = 19, d2 = 21 Dl.O(d1) = 256739428,6485676,6485679,9872614,14366071,14365906,9872506,9872507,14365910,20051259,254970544,30771788,23348494,17081242,17081241,23348491,22335189,22335190,23348503,22091351,15984257,15984256,22091344,22156964,22093971,22093968,22091151,15984123,15984124,15985472,15985475,16187616,16187617,22335063,24005024,24331563,24331561,20048761,14363005,9899520,9899519,8639060,8639058,12714563,17943049,24331573,254341038,21824353,29131408,22155350,22155349,29494372,34981207,267782694,14338190,14338193,20019209,24712512,21099446,15155849,15155848,21099443,26899866,20017675,20017676,26899870,22759396,22759395,16625165,11596570,11596569,16625163,22849575,30243540,30242495,22848737,16624596,16624595,22848734,30242489,36996491,28499056,267998702,10580269,6979531,6979532,255027947,21281356,268393612,34001736,26160004,26160008,24002274,17657548,12486560,12486559,17657544,24002263,30243792,25349153,25349155,33080154,33078698,31046257,23562524,23562522,30759186,30759188,31500884,31500882,35215644,27123030,20219325,20219324,27123028,35215640,44596530,55446539,256508136,55446451,256755565,35215501,37003899,37003900,41107070,32296411,24685244,24685245,32296415,28874401,21598922,21598921,23690480,21479943,18766867,18766862,255657329,18766754,22547699,16371673,11393605,7569996,7569994,11393598,16371656,22547720,29903351,256902674,35217083,27124135,20220018,14509472,9984066,6562154,4110997,2459033,1421498,1421499,2459042,4111022,6562193,9984131,14509594,20220202,17657415,12486503,8457363,5464694,5464696,8457368,12486520,17657447,24002112,31500282,35214804,27122319,20218837,20218839,27122328,26009497,26009500,33194821,39724808,31046156,28492471,21275711,21275710,24001454 Dl.O(d2) = 29675436,38240263,48149498,53622211,65670195,57780262,46425291,38680804,38680803,36512372,36512374,43169243,42153576,35216869,27123979,20219918,14509415,14509416,20219923,27123987,33194372,36742845,33194550,25448884,25448885,30046982,37027662,35217846,27124729,20220377,20220378,23035373,16791404,267770478,1745936,3005646,4975784,7838589,11466878,7627296,4825724,2908131,2908132,4825729,3175163,3175164,5204223,8123159,8162484,12132180,17248328,12129998,8161192,5231720,3192862,3192861,5231717,8161183,5231833,3192928,254578313,1868980,3191963,1869019,1066155,599265,333898,183718,100690,100691,183702,333839,599193,1066031,998709,998710,1755151,3020103,4998511,3020182,3020181,4998629,7873799,11791376,12132403,8162617,8162616,12132397,12131834,8162269,8162270,12079448,8122750,5203971,3175035,1858686,1858685,3175032,5203967,8122745,12079441,12130193,17248633,16791394,12128387,8159868,5230609,3192090,1868299,1868297,3192087,5230613,8159876,8162609,254390037,267993119,17179918,12079437,8122741,8122740,12079435,17179913,23458357,30891200,30891205,23459056,17180573,17180570,17180571,17180584,17249233,17249234,255994623,39718439,257627399,52798197,61211037,61211038,49736800,39718322,39718321,37158365,28642633,21401602,255832217,37158366,47048925,58423747,71145441,84715450,87590562,73993035,61214288,61214289,73993037,259482847,87593334,73993067,61214309,61214308,73993066,85619598,99570093,106017108,106017109,259981692,85619586,72031143,59294854,59294855,257504892,47899601,37982486,29419606,22089162,22089161,29419604,37982482,47899595,59294841,72031125,64712063,52798243,257806587,52798240,50398640,50398639,257637747,39863443,31181010,23691242,255165023,12236628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104835, s2 = 14068562, dlinesl.size( ) = 22 s1 = 11104865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104865, s2 = 11172048, int(edited[s2]) = 0 s1 = 11104865, s2 = 11172048, d1 = 8, d2 = 18 Dl.O(d1) = 255740253,9878552,6489941,4066595,4066596,6489943,9878554,14372518,20057424,14372488,9878532,9878531,14372487,20057422,269933122,257627823,49744438,61224188,52360890,42023809,256120151,25348890,31500185,39944691,31270070,23784793,23784792,25347603,18766319,18766320,25347604,255654946,44598735,44598736,36989661,28492537,28492538,33080402,28323712,28323711,35217286,27124296,27124295,35217285,44598134,46818519,36940639,28441190,28441188,36940643,35216494,35216493,40186034,42868338,40186546,40186547,31501363,24002883,24002884,24002076 Dl.O(d2) = 256534231,50207612,269799156,258117098,47968297,258117093,59431267,48039228,257512428,42207301,33245705,33245706,42207303,37745003,29184062,21873030,21873031,29184064,256451853,30348098,38933712,48756080,48756081,60150270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104865, s2 = 11172048, dlinesl.size( ) = 8 s1 = 11105025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105025, s2 = 14094968, int(edited[s2]) = 0 s1 = 11105025, s2 = 14094968, d1 = 21, d2 = 1 Dl.O(d1) = 257308571,256283372,16519098,14597306,10044208,6600621,6600620,4845589,4845588,7658280,11512401,254714340,18591606,256107755,41775645,52089446,51385120,41194346,32375405,24756340,18280807,18280809,24756343,32375410,39255225,30659176,23239326,255971321,30659183,30659182,32559841,256604257,51660921,63404398,71889806,71889805,76070062,63074056,63074055,63074072,51385107,51385106,47753704,37831224,29265394,29265395,37831226,36439451,36439452,37831240,47753731,258101629,60580687,49180943,39255237,39255235,42807798,42807797,53260811,48235192,48235193,58285159,48235195,48235196,53521098,59152253,59152252,58285152,58285151,71000313,72356844,268781218,256693080,19299555,13798825,9462429,254671324,18499355,25032137,19449479,13918178,13072514,13072515,18404303,24908889,25890817,25890816,33696837,42726642,51317384,254950206,75979177,89757898,270049612,134131099,120300224,120300225,272424467,121786703,121786704,115066847,100996152,87002865,259053774,23298599,17038537,11952394,8001083,5093569,3091363,3091364,5093576,8001103,10439111,6881749,4319774,4319773,6881742,10439102,15135711,21071222,26654224,26654225,26654587,28106259,28106260,24089256,17731746,12545058,12545057,17731738,12545064,12545062,14394837,14394836,15014933,15014932,20922052,28097199,36568105,35040969,26961001,26961000,27229838,28045558,28045559,26657246,19843235,19843236,17731726,12545050,12545048,17731719,20077309,20077308,23298691,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394562,20076972,15136018,15136020,21071685,28275184,32188423,32188421,37028634,28530648,28530647,37028633,36737295,28242224 Dl.O(d2) = 11724945,11724946,16770707,23010056,23086337,16833127,11771500,11771502,16833135,15858666,15858662,21948339,21056236,21056238,22865655,30261591,38328639,38328297,38328294,29758589,29758590,31698871,36753034,46639340,46639339,48928241,39004424,256293278,60326657,269292922,59625612,67762105,55422118,55422117,59915194,53064844,47749423,37827202,37827203,47749425,46633614,36746432,28250903,21050474,21050473,28250900,36746429,46633611,38328305,29758401,22397635,16237037,11288466,11288391,7494868,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206882,13106691,13106689,18450515,24970270,27277409,35403581,36431612,27972732,27972733,36431613,38992109,30403131,22998366,22998367,24782390,18301044,12990422,12990421,18301041,16758881,16758880,22998345,29679306,24430005,18017176,18017177,24430008,18379091,13053717,13053716,18379089,24876915,32519943,41368313,32519932,24876905,24876906,24585336,24585337,24584997,18140977,12864190,8748668,256067807,5687274,3537963,3537962,5687271,8735782,12846140,18116341,24553203,28495799,21278528,270286491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105025, s2 = 14094968, dlinesl.size( ) = 8 s1 = 11105107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105107, s2 = 2433382, int(edited[s2]) = 0 s1 = 11105107, s2 = 2433382, d1 = 0, d2 = 7 Dl.O(d1) = 44448420 Dl.O(d2) = 67630750,72016613,59279526,47882958,37964238,256069140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105107, s2 = 2433382, dlinesl.size( ) = 2 s1 = 11105107, s2 = 2433382, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11105107, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11105269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11105645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105645, s2 = 11047370, int(edited[s2]) = 0 s1 = 11105645, s2 = 11047370, d1 = 10, d2 = 6 Dl.O(d1) = 269639505,77746342 Dl.O(d2) = 255726558,18922221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105645, s2 = 11047370, dlinesl.size( ) = 12 s1 = 11105901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11105911, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10810335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11106287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106287, s2 = 11092842, int(edited[s2]) = 0 s1 = 11106287, s2 = 11092842, d1 = 7, d2 = 15 Dl.O(d1) = 35364065,28267822,21065084,17776126,12580477,12580481,15131947,11530253,11530254,16543670,22755013,28268954,22754975,16543636,11530236,11530237,16543640,16543806,16543807,15011233,10340679,10340680,15011235,16219394,254269316 Dl.O(d2) = 255559844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106287, s2 = 11092842, dlinesl.size( ) = 20 s1 = 16288630, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11106387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106387, s2 = 11296012, int(edited[s2]) = 0 s1 = 11106387, s2 = 11296012, d1 = 8, d2 = 5 Dl.O(d1) = 258821161,60483267,60483266,258507256 Dl.O(d2) = 259445407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106387, s2 = 11296012, dlinesl.size( ) = 8 s1 = 13381224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15101251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11107037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11107047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10937879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11107515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107515, s2 = 5672722, int(edited[s2]) = 0 s1 = 11107515, s2 = 5672722, d1 = 71, d2 = 54 Dl.O(d1) = 257393641,63282433,51564098,41341991,37937745,255940440 Dl.O(d2) = 231349780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107515, s2 = 5672722, dlinesl.size( ) = 28 s1 = 13382558, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11107525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107525, s2 = 10577498, int(edited[s2]) = 0 s1 = 11107525, s2 = 10577498, d1 = 8, d2 = 2 Dl.O(d1) = 257394085 Dl.O(d2) = 21513462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107525, s2 = 10577498, dlinesl.size( ) = 20 s1 = 11107609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107609, s2 = 14190655, int(edited[s2]) = 0 s1 = 11107609, s2 = 14190655, d1 = 0, d2 = 0 Dl.O(d1) = 46418728,46418726,36555521,255008070,15008114,255366087,10338138,6805378,4268050,2551743,1469904,1469905,2551746,4268054,6805384 Dl.O(d2) = 46418728,46418726,36555521,255008070,15008114,255366087,10338138,6805378,4268050,2551743,1469904,1469905,2551746,4268054,6805384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107609, s2 = 14190655, dlinesl.size( ) = 2 s1 = 11107609, s2 = 14190655, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11107609, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14190656, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11107693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107693, s2 = 11238810, int(edited[s2]) = 0 s1 = 11107693, s2 = 11238810, d1 = 40, d2 = 44 Dl.O(d1) = 255793035,15018827 Dl.O(d2) = 259259367 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107775, s2 = 11321744, int(edited[s2]) = 0 s1 = 11107775, s2 = 11321744, d1 = 0, d2 = 7 Dl.O(d1) = 46459584 Dl.O(d2) = 70516987,84052090,97922772,111856962,125672790,139011561,151715644,262621681,174435175,184088270,263380468,262135861,174435172,184088272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107775, s2 = 11321744, dlinesl.size( ) = 2 s1 = 11107775, s2 = 11321744, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11107775, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11107883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107883, s2 = 11091560, int(edited[s2]) = 0 s1 = 11107883, s2 = 11091560, d1 = 1, d2 = 12 Dl.O(d1) = 46477156 Dl.O(d2) = 257617332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107883, s2 = 11091560, dlinesl.size( ) = 18 s1 = 11107893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107893, s2 = 14119672, int(edited[s2]) = 0 s1 = 11107893, s2 = 14119672, d1 = 21, d2 = 25 Dl.O(d1) = 36612774,258636833 Dl.O(d2) = 184106131,174455649,261755620,139038503,139038504,151741153,151741165,151741166,163617520,174455661,184106138,184106145,174455664,163617522,151741169,139038515,139038516,151741172,151741162,151741163,163617519,174455659,184106131,262764198,262289332,153806039,153806040,165588363,176265102,185717361,262289330,165588359,165588364,165588363,273367936,263179512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107893, s2 = 14119672, dlinesl.size( ) = 28 s1 = 14946454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11108419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11108419, s2 = 10996032, int(edited[s2]) = 0 s1 = 11108419, s2 = 10996032, d1 = 0, d2 = 0 Dl.O(d1) = 30766410,268973561,53155509,42705409,42705410,42293333,33313132,33313131,26125164,19430631,13902687,13902685,19430629,19211425,19211424,20154920,15768446,15768449,21838053,15768906,10921416,10921415,10923328,7225096,7225095,10923327,15770904,10926459,7227764,4554856,2738360,254342651,2741066,1588459,1588460,2736711,2741457,1588692,903110,509351,509352,903113,1588701,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,1585635,1585638,1588622,1588623,2741339,4558946,7227868,4554938,2738417,1586723,901991,901993,1586715,1588283,2740785,2740707,254342989,902541,902542,1587664,2739715,2737029,1585887,1585886,2737025,2741355,2737216,1586004,901602,508552,508551,254162443,2737198,4553175,7225561,4555279,2738664,1586876,1586874,2738653,2740243,4557513,4558605,7232120,7225193,7223607,7223609,7232078,7232077,10918696,7221245,4549868,2734994,1584757,900947,900946,1584755,2734989,4549862,7221237,4552337,4552339,7224612,7225362,8010212,7222642,7222643,4554101,2737907,2737906,4554098,254750931,4553147,4553146,2741387,1588650,903086,509335,509334,903083,1588646,2741385,4559016,4553699,4553701,7226146,7231899,4558356,4558353,255058283,21850612,24105263,24105262,31607433,40290389,46891904,40151292,31467460,23971758,23971759,30445872,39035338,40169554,33673022,25866890,25866889,31483699,31483698,40168635,42367570,33378685,25613397,25613398,33378688,31472650,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645961,17645963,17634794,12457461,12457460,17634790,23981492,31478239,36727484,37304960,31489784,23992367,17647831,17647830,23992361,31489768,40174989,40203807,40203805,50175733,50175732,57706282,70400206,254598982,40290417,36739548,254598980,30839230,30839229,39443393,49371613,40162850,40162851,47212328,42374093,42374094,39901429,31224710,31224712,31224719,23741459,23741457,31224715,254106222,37426307,37426308,47334692,39441708,30837949,23408948,17134434,254599682,8095159,12041490,17134455,23408991,28244223,254856364,15116312,21044894,23977548,17630174,12451510,12451511,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465114,17640694,23986480,31483383,39035213,30740858,30740811,23320497,23320498,30740813,39339494,49265538,50197393,40173813,31488730,31488733,40170348,31485202,31485201,30175023,30175021,37469437,47376210,40290708,40290709,38338046,29767132,29767131,38338042,48248593,59635644,50181488,40156640,40156638,49213648,47652054,47652052,47211094,37892049,29324138,29324137,37892044,31476412,23979981,23979980,24096636,24096637,31600917,40285965,50307352,57674059,46327123,36471836,36471835,46327121,50307312,46629040,46629042,255575346,50181474,50181473,46615192,36727490,28233670,21036388,21036387,28233669,28884146,30741228,23320731,17055764,11964831,11964828,17055738,23320692,30741167,36727328,39515948,39515949,33995477,26153820,26153821,30907223,35012854,35012851,31467348,31467347,28233456,28233457,23995532,17651799,17651797,23995524,31493084,28771081,21510107,21510105,23979878,23979879,28771091,28245753,21045993,15117010,15117014,21045999,28245761,32747323,32747324,40285850,31600843,24096596,17738043,17738042,24096594,31600838,31472450,31472448,40156645,38945508,38945507,46714883,57991084,57991089,51535500,41314720,41314719,40170166,40170164,47814837,37893059,254343400,15896935,15896937,21995452,29324980,37893071,46825103,40285969,40285970,40160483,31475963,23986157,23986158,31483047,23987998,21916038,15832847,15832846,21916026,29233114,37795512,47716165,46614838,36727161,36727162,46614840,48327426,38418928,29850954,254601980,255187472,58150100,47715980,268258666,29233381,37795807,37795221,37795219,37795433,29852059,22486522,21915914,15832781,15832783,21915916,21915689,21915537,15832538,15832537,21915534,29232562,29855641,22490756,22490758,29855644,38422463,39770618,47715758,37794957,29232589,21915549,21186337,15224232,10501494,6924611,4350141,2605300,1503479,1503478,2605297,4350137,6924603,10501484,15224209,21186309,16313770,11350234,7541832,4770458,2875748,1669311,949921,535791,300466,300465,535790,254240063 Dl.O(d2) = 30766410,268973561,53155509,42705409,42705410,42293333,33313132,33313131,26125164,19430631,13902687,13902685,19430629,19211425,19211424,20154920,15768446,15768449,21838053,15768906,10921416,10921415,10923328,7225096,7225095,10923327,15770904,10926459,7227764,4554856,2738360,254342651,2741066,1588459,1588460,2736711,2741457,1588692,903110,509351,509352,903113,1588701,1588735,2736895,2739554,2739556,1588101,902798,902795,1588089,2740487,4557829,7221359,4552189,2736484,2736482,1585635,1585638,1588622,1588623,2741339,4558946,7227868,4554938,2738417,1586723,901991,901993,1586715,1588283,2740785,2740707,254342989,902541,902542,1587664,2739715,2737029,1585887,1585886,2737025,2741355,2737216,1586004,901602,508552,508551,254162443,2737198,4553175,7225561,4555279,2738664,1586876,1586874,2738653,2740243,4557513,4558605,7232120,7225193,7223607,7223609,7232078,7232077,10918696,7221245,4549868,2734994,1584757,900947,900946,1584755,2734989,4549862,7221237,4552337,4552339,7224612,7225362,8010212,7222642,7222643,4554101,2737907,2737906,4554098,254750931,4553147,4553146,2741387,1588650,903086,509335,509334,903083,1588646,2741385,4559016,4553699,4553701,7226146,7231899,4558356,4558353,255058283,21850612,24105263,24105262,31607433,40290389,46891904,40151292,31467460,23971758,23971759,30445872,39035338,40169554,33673022,25866890,25866889,31483699,31483698,40168635,42367570,33378685,25613397,25613398,33378688,31472650,23976532,17628978,12449932,12449936,17628988,23976550,22870105,16642186,16642184,22870099,30266751,23977572,17630186,12451516,12451519,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645961,17645963,17634794,12457461,12457460,17634790,23981492,31478239,36727484,37304960,31489784,23992367,17647831,17647830,23992361,31489768,40174989,40203807,40203805,50175733,50175732,57706282,70400206,254598982,40290417,36739548,254598980,30839230,30839229,39443393,49371613,40162850,40162851,47212328,42374093,42374094,39901429,31224710,31224712,31224719,23741459,23741457,31224715,254106222,37426307,37426308,47334692,39441708,30837949,23408948,17134434,254599682,8095159,12041490,17134455,23408991,28244223,254856364,15116312,21044894,23977548,17630174,12451510,12451511,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465114,17640694,23986480,31483383,39035213,30740858,30740811,23320497,23320498,30740813,39339494,49265538,50197393,40173813,31488730,31488733,40170348,31485202,31485201,30175023,30175021,37469437,47376210,40290708,40290709,38338046,29767132,29767131,38338042,48248593,59635644,50181488,40156640,40156638,49213648,47652054,47652052,47211094,37892049,29324138,29324137,37892044,31476412,23979981,23979980,24096636,24096637,31600917,40285965,50307352,57674059,46327123,36471836,36471835,46327121,50307312,46629040,46629042,255575346,50181474,50181473,46615192,36727490,28233670,21036388,21036387,28233669,28884146,30741228,23320731,17055764,11964831,11964828,17055738,23320692,30741167,36727328,39515948,39515949,33995477,26153820,26153821,30907223,35012854,35012851,31467348,31467347,28233456,28233457,23995532,17651799,17651797,23995524,31493084,28771081,21510107,21510105,23979878,23979879,28771091,28245753,21045993,15117010,15117014,21045999,28245761,32747323,32747324,40285850,31600843,24096596,17738043,17738042,24096594,31600838,31472450,31472448,40156645,38945508,38945507,46714883,57991084,57991089,51535500,41314720,41314719,40170166,40170164,47814837,37893059,254343400,15896935,15896937,21995452,29324980,37893071,46825103,40285969,40285970,40160483,31475963,23986157,23986158,31483047,23987998,21916038,15832847,15832846,21916026,29233114,37795512,47716165,46614838,36727161,36727162,46614840,48327426,38418928,29850954,254601980,255187472,58150100,47715980,268258666,29233381,37795807,37795221,37795219,37795433,29852059,22486522,21915914,15832781,15832783,21915916,21915689,21915537,15832538,15832537,21915534,29232562,29855641,22490756,22490758,29855644,38422463,39770618,47715758,37794957,29232589,21915549,21186337,15224232,10501494,6924611,4350141,2605300,1503479,1503478,2605297,4350137,6924603,10501484,15224209,21186309,16313770,11350234,7541832,4770458,2875748,1669311,949921,535791,300466,300465,535790,254240063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11108419, s2 = 10996032, dlinesl.size( ) = 2 s1 = 11108419, s2 = 10996032, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11108419, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15433909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13384366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13384366, s2 = 16366195, int(edited[s2]) = 0 s1 = 13384366, s2 = 16366195, d1 = 149, d2 = 169 Dl.O(d1) = 31808828,31808830,36813756,46696691 Dl.O(d2) = 107811814,98954237,258072768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13384366, s2 = 16366195, dlinesl.size( ) = 2 s1 = 13384366, s2 = 16366195, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13384366, Dl.E( ) = 178, 4.7e-05 seconds used appending s1 = 11108949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11108949, s2 = 11154080, int(edited[s2]) = 0 s1 = 11108949, s2 = 11154080, d1 = 8, d2 = 13 Dl.O(d1) = 255568364 Dl.O(d2) = 8368623,257072831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11108949, s2 = 11154080, dlinesl.size( ) = 14 s1 = 11108977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11108977, s2 = 11015122, int(edited[s2]) = 0 s1 = 11108977, s2 = 11015122, d1 = 10, d2 = 23 Dl.O(d1) = 36868107 Dl.O(d2) = 255508854,1499098,1480687,836909,471585,264933,146622,146621,148264,148263,267696,475943,474825,471641,264968,264969,269990,149674,82332,82331,82365,80943,44296,44295,80938,81481,147171,80902,80903,81461,148177,267576,473643,479264,844542,841103,841102,474580,474579,838553,838551,843447,843448,1483048,1483047,849021,849023,1481892,838709,472776,472777,838713,1483103,845791,841135,474325,473263,473262,837020,471667,264985,146653,80587,44126,44125,25024,25025,45063,81253,147787,266035,147301,80973,80974,147307,147274,147273,265973,473248,266644,266646,266539,147569,147570,149208,82051,82052,149213,269023,266471,149057,148068,81401,81400,148063,267421,474487,474489,475664,475662,843133,838721,838723,477637,477636,843198,843199,845804,477478,268687,268686,477354,475342,267255,148879,148880,267298,267299,475422,842831,1489158,2581041,2592066,4331640,4329862,2590335,2580737,2580736,1493322,1484267,839523,473351,473350,839518,846153,477730,477727,475152,475151,842433,846604,478032,269036,269037,478038,842944,475520,475521,475529,475528,842961,1489317,2580907,1486923,1486843,845688,845689,843184,475699,475698,843176,477598,477600,845964,1486917,844240,476410,267991,267990,476405,477594,478077,478076,478198,846669,1494374,1489444,844140,844141,1490876,849451,849450,1494801,846923,846924,1492992,2586666,4323587,4323615,2586704,2586703,1494719,1494720,1485113,1485118,1490630,1490629,2586050,2586323,1490815,1490813,847048,478280,478281,847054,1485083,840087,473734,266281,266280,473728,840076,1485061,1485148,846945,846947,1494487,1490708,1490710,2586169,4323165,4323103,2586106,1490666,844064,844062,1490672,1490671,2578916,2578918,2578782,1494651,846826,846827,1494657,2591816,4312481,4312483,4307062,4307061,4313012,4312915,4312261,2578674,2578673,4312257,6870342,4331384,4331386,4331762,6899654,6886567,4323030,2586038,2586039,2576203,1483785,1483784,2576197,4308429,4331380,4331382,4331610,4331611,4322937,4322936,6869843,6869842,10420872,10414689,6865126,4323246,2586248,2586240,2586241,4309677,4312318,4312319,6870395,4331400,2591785,2591786,2591900,2577684,1484717,1484719,2577690,1485664,840415,840416,1485305,1485304,1485312,2578682,2580197,1486293,1486292,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,1485126,840109,840110,1485132,2578410,2596840,2596839,4313072,4313071,2579993,2579991,2576267,1483817,1483816,2576264,4308404,2576183,2576182,4308401,6864976,6872019,6872018,10419966,6869169,6869170,4314051,4314050,6871608,10421956,6870999,4312895,2579183,2579182,4312892,6868555,6868554,6869680,6869275,267822563,2578075,2597802,2597804,2749865,4571410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11108977, s2 = 11015122, dlinesl.size( ) = 26 s1 = 11109003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109003, s2 = 11381802, int(edited[s2]) = 0 s1 = 11109003, s2 = 11381802, d1 = 17, d2 = 21 Dl.O(d1) = 257419169 Dl.O(d2) = 260501409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109003, s2 = 11381802, dlinesl.size( ) = 22 s1 = 11109085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109085, s2 = 11654794, int(edited[s2]) = 0 s1 = 11109085, s2 = 11654794, d1 = 6, d2 = 9 Dl.O(d1) = 257420513 Dl.O(d2) = 261631291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109085, s2 = 11654794, dlinesl.size( ) = 12 s1 = 11109143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11109189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109189, s2 = 12965097, int(edited[s2]) = 0 s1 = 11109189, s2 = 12965097, d1 = 1, d2 = 13 Dl.O(d1) = 46785091 Dl.O(d2) = 70870876,84428189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109189, s2 = 12965097, dlinesl.size( ) = 2 s1 = 11109189, s2 = 12965097, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11109189, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 14094819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14094819, s2 = 15625268, int(edited[s2]) = 0 s1 = 14094819, s2 = 15625268, d1 = 103, d2 = 105 Dl.O(d1) = 258296588,36817811,28321952,21111781,21111782,21108862,15163106,10457000,6892846,4326945,4326944,6892844,10456999,15161885,15161886,12426970,8399092,5419969,3331834,1959507,1119318,628007,348832,348833,628014,1119334,1959542,3331895,5420071,8399243,12427201,17605561,23951274,21225327,21225328,28452088,29728169,29728167,38295074,48204440,59590815,72325175,85918350,99873556,113892102,258032340,153797790,165579246,176256341,185710006,193955013,201019437,206976158,211896729,215917463,263844986,216134000,212151680 Dl.O(d2) = 271613506,95286990,81229111,259106348,55422701,44575343,35197041,35197042,44575345,55422702,67762805,81229112,95286992,109541742,123733485,137461005,150495872,162619504,173644807,183434805,191992838,199354795,205583022,210734290,214942365,218403958,274328825,225963600,227847554,229502369,230972324,232289857,232289858,233479522,234560019,235543655,236439749,237257501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14094819, s2 = 15625268, dlinesl.size( ) = 18 s1 = 11109311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109311, s2 = 11058042, int(edited[s2]) = 0 s1 = 11109311, s2 = 11058042, d1 = 12, d2 = 10 Dl.O(d1) = 36926136,28427502,255291326,6931747,4355187,4355188,6931748,10511783,15238048,11023671,7298503,7298502,11023669,15901289,22001111,29331815,33347672,25587519,256040230,15867255,15867254,19664859,19658296,19658298,23583714,21988076,21988075,19653863,19590804,19590805,19591348,26316649,22925155,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21482950,15867568,254799450,29286112,22626849,22626850,29995407,255100084,14084389,14084387,19649725,15093561,10409940,6862040,4306556,4306555,6862036,10409934,15093549,267792282,28147273,26629600,19818293,14196055,14196056,12029523,8087283,8087284,11145722,12030409,12030328,8087756,5181849,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029081,8086695,5181328,5181327,8086823,12028756,14087404,9689710,6373578,6373579,9689713,14087409,18565284,13192784,9690608,9690609,14089007,17115846,12029249,12029246,12033592,8089821,8089822,12033593,17123563,14491273,14491274,19663100,14094560,12034114,8090182,8090181,12034109,17124282,23396217,22458336,22458337,18338534,13017977,8863406,5777579,5777581,8863412,13017989,18338550,260188389,258381130,32078711,40850536,50985255,58219403,46851545,46851546,269776121,91087609,261152557 Dl.O(d2) = 258108346,49131984,50282035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109311, s2 = 11058042, dlinesl.size( ) = 14 s1 = 11840086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15500234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15500234, s2 = 2623283, int(edited[s2]) = 0 s1 = 15500234, s2 = 2623283, d1 = 14, d2 = 7 Dl.O(d1) = 52046270,41731412,32810908,25108430,25108431,32810910,41731416,33963024,33963023,41731403,33963018,26124875,254657940,43020636,42056835,42056834,52400776,49143318,39216637,38524905,29959591,29959594,30619496,23198064,23198063,30619491,33486466,33486467,42482244,52888837,64810070,73286447,60543033,60543032,73188734,60441805,49143300,49143301,60441847,60441848,60441739,49037742,39107911,39107910,49037740,52087091,60542888,49143204,49143206,60441802,49143306,49143305,52888460,64809831,64182411,64182410,58450705,58450704,64810027,64810028,60441840,60441839,60200950,60200951,72939695,86537610,73286380,73286381,76977042,63865698,52046247,52046246,63865696,64809946,258173198,58450742,58450741,71172976,58450718,47073582,37179817,37179819,38183133,48094833,52636495,48094687,38183134,256147709,19083876,25711638,33486409,42482151,38183122,29615968,29615967,38183118,48094817,43183225,43183224,47073872,41993040,37179958,28660472,28660473,33486288,25711561,25711562,28660456,30434435,29615977,22264868,16123966,11200454,11200455,268223807,29615982,30337086,30337087,38022236,38022238,37180022,33486167,33236774,33236773,42197241,48094877,42482061,42482062,52888652,52888551,42481962,42481960,256674390,256594506,28531244,21308610,21308611,28531249,37029398,46906665,58271844,70986257,58451003,53140773,42689903,42689902,46906740,48843792,38923387,30337079,22936130,255950909,29460125,22125746,22125747,29460127,38022045,47935697,38021979,29460084,22125728,22125727,29460083,38021977,47935694,38022232,38022230,41731456,52046306,52400762,52400761,64256089,59327526,47935928,38022215,29460248,22125820,16011351,16011353,22125826,29460255,34971262,26892041,26892040,34181113,32810885,25108420,25108421,32810889,40559044,38183164,38183163,42056808,42056809,47935765,47935766,47935675,38021955,29460071,29460070,38021953,41731482,41491194,32611546,24946831,18432046,13092412,8921918,8921919,12716319,12716320,17945729,21864160,21864159,29174252,37734891,41731474,32810976,25108484,25108485,32810978,29574658,22227446,22227444,22452824,16283577,11324708,11324709,16283583,22282873,22282872,29635301,24946691,24946692,24946824,19803382,14185069,14185070,19803388,24312224,24312222,22227464,19803403,14185078,9751401,9751402,13971118,18431977,13092354,8921885,5822309,3632196,2169460,2169462,3632201,5822316,8921894,13092370,18431912,24946629,26233651,268486092,43180254,53691083,65747670,79103345,93219826,259010882,121996743,135923388,149146443,272366058,182540347,177891008,167396333,155763914,143211701,129882154,115984754,101940446,87967934,74365808,61589428,50109453 Dl.O(d2) = 5341984,8274288,12251447,17385784,23709183,31197904,39879176,49900642,61381214,74161775,87766222,101738764,115783868,129680456,272600245,262042121,135898488,121976294,107606284,93205782,79090653,79090654,258137463,48229543,48229542,59616342,65735016,53678966,53678965,270554049,65122338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15500234, s2 = 2623283, dlinesl.size( ) = 2 s1 = 15500234, s2 = 2623283, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15500234, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 11109643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109643, s2 = 11250544, int(edited[s2]) = 0 s1 = 11109643, s2 = 11250544, d1 = 16, d2 = 28 Dl.O(d1) = 259288445 Dl.O(d2) = 141806424,128454217,260048463,258807701,30349903 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109955, s2 = 10550176, int(edited[s2]) = 0 s1 = 11109955, s2 = 10550176, d1 = 0, d2 = 0 Dl.O(d1) = 255656024,15349209,13739129,254664383,6167025,9412696,12825450,12825449,13353248,13353246,9412501,6166876,6166877,9412505,13738951,14423341,9921812,9921221,6569200,4115226,2461525,1422888,809475,809477,1422895,2461542,4115264,6569256,9325677,9995631,6569241,6569240,9995623,7380356,4662602,4662603,4083655,2443318,1412826,803881,803880,1412821,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398203,4398204,6569620,9996144,13738645,18047475,18090855,12825805,10638023,7022682,4416666,2649032,1531529,868965,868964,1531526,2649028,4416658,5661582,7058723,9412216,6518584,4398673,3856472,2310457,2310456,3856467,4085021,3924340,3734589,3734590,2311760,2311761,3858821,3734235,2235752,2235753,2310409,3856368,3733352,3733353,5969824,8960780,5998604,3751382,2246432,2246434,3751387,5998571,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389,7011392,7058814,10623461,7035371,7035373 Dl.O(d2) = 255656024,15349209,13739129,254664383,6167025,9412696,12825450,12825449,13353248,13353246,9412501,6166876,6166877,9412505,13738951,14423341,9921812,9921221,6569200,4115226,2461525,1422888,809475,809477,1422895,2461542,4115264,6569256,9325677,9995631,6569241,6569240,9995623,7380356,4662602,4662603,4083655,2443318,1412826,803881,803880,1412821,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398203,4398204,6569620,9996144,13738645,18047475,18090855,12825805,10638023,7022682,4416666,2649032,1531529,868965,868964,1531526,2649028,4416658,5661582,7058723,9412216,6518584,4398673,3856472,2310457,2310456,3856467,4085021,3924340,3734589,3734590,2311760,2311761,3858821,3734235,2235752,2235753,2310409,3856368,3733352,3733353,5969824,8960780,5998604,3751382,2246432,2246434,3751387,5998571,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389,7011392,7058814,10623461,7035371,7035373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109955, s2 = 10550176, dlinesl.size( ) = 2 s1 = 11109955, s2 = 10550176, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11109955, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11109961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13629601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14532432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14532432, s2 = 5892490, int(edited[s2]) = 0 s1 = 14532432, s2 = 5892490, d1 = 19, d2 = 17 Dl.O(d1) = 264202800,184639840,175046828,164241001,152368091,139647340,126276926,112413859,98425176,84503556,70939567,58222488,46854738,36976181,28478653,28478654,28478652,21260245,21260244,21344884,28573157,37076514,46956875,58324048,71039439,61610217,50129501,40108840,31428991,23937815,17594206,13607338,9317605,6103617,3818998,3818997,6103611,6909875,6909877,10480313,15194309,12420191,8394619,5417260,5417261,8393875,5416864,5416863,8393884,12418926,17594026,23937576,31428757,40108677,50129363,61610109,74387493,87991130,101965623,116012256,129911992,143243404,155794969,167423968,177913279,187178476 Dl.O(d2) = 236904519,236904520,237679154,236904518,266490036,238382516,274789238,240159554,240665210,241133451,241566989,241968737,242340017,242684308,243005017,243305696,243586622,243847580,244090378,244316375,267317680,244906501,267425461,245532099,245665649,245789963,245906250,246015788,267541845,246477760,267578193,246425967,267535531,246154132,267502509,245712235,267447527,245297300,267433424,244182288,267265691,243419253,243125604,242812302,242474912,242112043,241719316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14532432, s2 = 5892490, dlinesl.size( ) = 14 s1 = 15642539, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11110291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11110291, s2 = 11461574, int(edited[s2]) = 0 s1 = 11110291, s2 = 11461574, d1 = 0, d2 = 9 Dl.O(d1) = 46989829 Dl.O(d2) = 126425436,264177305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11110291, s2 = 11461574, dlinesl.size( ) = 12 s1 = 11110345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11110351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11110351, s2 = 11046824, int(edited[s2]) = 0 s1 = 11110351, s2 = 11046824, d1 = 8, d2 = 12 Dl.O(d1) = 37118133,28608258,28608260,37118139,47004030,58374101,47426113,47426112,58813119,52832570,42428338,33435825,33435824,42428334,52832563,64752064,77901141,64712533,64712532,77901136,77901134,89796358,76019566,63036681,51355881,41170644,32355739,32355738,28965986,25403142,18813647,255660863,18242120,18242119,24714978,32330996,37893362,37893363,37118146,37118145 Dl.O(d2) = 32330996,37893362,37893363,47004038,52175950,52175949,64008946,65127988,53143175,53143176,65127990,78409583,84652440,71352449,63012227,51331322,41146019,268715067,24714979,18242120,18242119,24714978,32330996,37893362,37893363,37118146,268382803,255032323,10637877,15392645,21373585,28608260,37118139,47004030,58374101,47426113,47426112,58813119,52832570,42428338,33435825,33435824,42428334,52832563,64752064,77901141,64712533,64712532,77901136,77901134,89796358,76019566,63036681,51355881,41170644,32355739,32355738,28965986,25403142,18813647,18813646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11110351, s2 = 11046824, dlinesl.size( ) = 14 s1 = 14671773, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11110555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11110555, s2 = 11102066, int(edited[s2]) = 0 s1 = 11110555, s2 = 11102066, d1 = 26, d2 = 35 Dl.O(d1) = 37152046,37152028,28636756,21396740,21396739,28636755,37152027,47042480,58417114,71138709,257435676,58417119,47042478,47042477,58417116,71138711,84708525,71138714,71138715,84708526,269778372,122922858,122922859,122922856,122922857,136754547,149895978,149895973,136754542,122922854,122922855,136754543,149895974,145702608,132455937,118615299,104430783,90278955,76448512,63404566,256649670,84902749,71329589,58596592,47206264,47206263,58596590,71329587,73571419,73252177,60823710,49423102,49423101,60823697,49423082,39493043,31986769,31986770,40735590,50841557,53101986,42650842,33622620,33622619,39170740,30572487,23154719,16893394,11821604,11821605,16893397,23154724,30572497,39170757,49101116,49423111,39493067,32559988,32559987,30886643,23454676,23454677,30886644,39493062,39493094,39493093,49423134,53101977,53101978,255704358,60505246,60505247,53309730,42847206,39493055,39493054,39219968,30622761,30622760,30572485,30572484,39170734,41333585,39170754,39170755,40735601,31986779,24431730,18018419,12770561,12770562,18018421,24431734,31986786,40735614,50841571,59993848,48601980,38685899,33711085,25904688,25904690,28135035,20956988,20956987,28135031,36608865,42650847,33622631,25821712,25821711,33622627,36587816,28115124,28115125,36587819,46453812,57809850,60068789,48672449,254924576,30167782,38750870,42656982,35258175,27159088,20247288,20247289,27159089,29794901,29794900,38367598,40273928,38679031,38679032,255196046,31322478,23832072,23832073,31322480,255585876,61496462,74273365,87875457,88291167 Dl.O(d2) = 177799102,179303590,179303588,187363374,187363371,179303592,169018854,169018853,178131457,262362108,177799111,167304605,167304606,177799113,178131458,167672891,167672890,169018840,157558088,145125603,131868814,118044321,103902661,89801630,76024663,63041587,51360255,256166612,24741881,32358191,36649265,269299901,52642969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11110555, s2 = 11102066, dlinesl.size( ) = 36 s1 = 11110797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11110797, s2 = 11038386, int(edited[s2]) = 0 s1 = 11110797, s2 = 11038386, d1 = 60, d2 = 1 Dl.O(d1) = 269314203,260528107,262176189,175252502 Dl.O(d2) = 35238422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11110797, s2 = 11038386, dlinesl.size( ) = 76 s1 = 15197589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111345, s2 = 11134200, int(edited[s2]) = 0 s1 = 11111345, s2 = 11134200, d1 = 7, d2 = 9 Dl.O(d1) = 258064491 Dl.O(d2) = 64777479,257218751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111345, s2 = 11134200, dlinesl.size( ) = 18 s1 = 11111399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111399, s2 = 14022654, int(edited[s2]) = 0 s1 = 11111399, s2 = 14022654, d1 = 1, d2 = 1 Dl.O(d1) = 255841885,21522450,28786347,24763585,18286561,12979428,8835323,5757372,5757376,5877853,3669677,3669680,5877854,3669687,3669683,5877879,5877967,4729577,2849519,1653277,1653275,2849496,4729514,7483894,7253673,7253672,10959035,8514493,5512969,3400207,3400203,5512951,8514455,7013421,4409505,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,14090975,254915504,4025676,4025675,6416805,9693360,14036249,14036250,14198694,14085814,14085813,17846979,16241820,16241821,22404034,19660862,19660863,17121135,12031743,8088669,5182336,3161866,1850966,1850965,3161861,5181314,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,5029747,7912025,11838923,254528424,7911558,11838117,16915271,23180216,23389960,30819041,30600000,255119272,13421511,9176483,6006038,6006039,9176485,11837736,9556419,6270687,6270686,9556417,13922893,18330561,17120152,257029851,257153322,256087794,254898600,6159995,6159998,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272044,3743623,3743625,5986992,3745830,3745825,2393524,2393528,3993916,6214177,9477221,8963528,5851229,3652087,3652088,5851230,8963530,13150938,18509842,21876021,21876020,29187691,27029021,27029020,30152432,37223064,28697322,25045504,25045503 Dl.O(d2) = 255841885,21522450,28786347,24763585,18286561,12979428,8835323,5757372,5757376,5877853,3669677,3669680,5877854,3669687,3669683,5877879,5877967,4729577,2849519,1653277,1653275,2849496,4729514,7483894,7253673,7253672,10959035,8514493,5512969,3400207,3400203,5512951,8514455,7013421,4409505,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,14090975,254915504,4025676,4025675,6416805,9693360,14036249,14036250,14198694,14085814,14085813,17846979,16241820,16241821,22404034,19660862,19660863,17121135,12031743,8088669,5182336,3161866,1850966,1850965,3161861,5181314,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,5029747,7912025,11838923,254528424,7911558,11838117,16915271,23180216,23389960,30819041,30600000,255119272,13421511,9176483,6006038,6006039,9176485,11837736,9556419,6270687,6270686,9556417,13922893,18330561,17120152,257029851,257153322,256087794,254898600,6159995,6159998,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272044,3743623,3743625,5986992,3745830,3745825,2393524,2393528,3993916,6214177,9477221,8963528,5851229,3652087,3652088,5851230,8963530,13150938,18509842,21876021,21876020,29187691,27029021,27029020,30152432,37223064,28697322,25045504,25045503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111399, s2 = 14022654, dlinesl.size( ) = 2 s1 = 11111399, s2 = 14022654, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11111399, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14022653, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11111499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111499, s2 = 11193268, int(edited[s2]) = 0 s1 = 11111499, s2 = 11193268, d1 = 13, d2 = 0 Dl.O(d1) = 260202877 Dl.O(d2) = 62841831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111499, s2 = 11193268, dlinesl.size( ) = 14 s1 = 10568301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10631639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10631639, s2 = 8534549, int(edited[s2]) = 0 s1 = 10631639, s2 = 8534549, d1 = 0, d2 = 0 Dl.O(d1) = 140570715,140570714,153252075,153252074,262688379,140570711,133702823,119826488,119826487,127225412,140570710,153252070,262207945,146963481,133702820,261434005,159344846,262207949,153252075,272200485,113367327,259345847,71836146,59096614,47698973,37779012,29218456,21904110,15823876,10965813,7258331,4577560,2754031,1596468,907556,511777,254085739,87110,87109,158508,286831,286830,511767,907535,1596429,2753953,4577413,7258057,7998488,7998489,11948768,17033980,23293322,21902725,21902726,268073452,47698272,59096115,71835704,85423082,258068150,127224931,140070604,259319126,113366886,99365573,85423083,85423082,258068152,271309836,272838059,140570177,127224928,113366884,99365572,99365571,113366882,127224925,140570178,259938070,165068618,175798439,185308456,193604841,185308462,175798446,175798445,175356633,175356634,165068626,165068625,165068621,165068620 Dl.O(d2) = 140570715,140570714,153252075,153252074,262688379,140570711,133702823,119826488,119826487,127225412,140570710,153252070,262207945,146963481,133702820,261434005,159344846,262207949,153252075,272200485,113367327,259345847,71836146,59096614,47698973,37779012,29218456,21904110,15823876,10965813,7258331,4577560,2754031,1596468,907556,511777,254085739,87110,87109,158508,286831,286830,511767,907535,1596429,2753953,4577413,7258057,7998488,7998489,11948768,17033980,23293322,21902725,21902726,268073452,47698272,59096115,71835704,85423082,258068150,127224931,140070604,259319126,113366886,99365573,85423083,85423082,258068152,271309836,272838059,140570177,127224928,113366884,99365572,99365571,113366882,127224925,140570178,259938070,165068618,175798439,185308456,193604841,185308462,175798446,175798445,175356633,175356634,165068626,165068625,165068621,165068620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10631639, s2 = 8534549, dlinesl.size( ) = 2 s1 = 10631639, s2 = 8534549, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10631639, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 663378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 663378, s2 = 11185848, int(edited[s2]) = 0 s1 = 663378, s2 = 11185848, d1 = 0, d2 = 0 Dl.O(d1) = 30910047,23474324,17192674,17192673,23474322,30910051,39519280,39519284,39519266,30910032,23474307,255989537,39519264,39218503,30621300,30621301,39218504,257137387,62859482,60853129,49451444,39519279,39519278,40510321,31814304,31814305,39519296,39519297,49451465,51754496,51754497,63533376,258825911,73287481,60544379,60544380,258339862,59494716,48106099,48106098,49451433,49451434,51411779,51411778,46742683,36861166,28362804,28362802,36861163,46742682,58112569,49376828,49145060,39218506,30621303,23199593,16930515,11849422,7919757,7919758,11849425,16930520,23199601,30621316,34093070,43177174,39218498,39218497,49145055,60544374,60544389,257415518,30621322,30621323,27984495,27984494,23199597,16930517,16930516,23199595,30621305,39218508,257249770,33614750,33614751,42641367,53090509,65073913,65073911,257674334,81540372,68053580,55656776,44748601,35322539,27198829,27198828,35322538,44748600,47061259,37169556,37169555,47061257,58436707,71158631,257674332,70716643,58436721,58436722,61760535,61760536,74544025,88158572,256900600,58436702,47061253,37169552,28652287,21409523,15421100,15421101,21409525,256323577,47061265,58436714,71158640,70557917,70557919,84094306,97967972,97968030,105746778,98886730,84961776,74118824,74118823,64423519,52549514,42190813,33230563,25481909,25481910,256646331,52549520,64423526,77592187,70557965,70557964,84094352,97968009,95233138,95233139,106064472,106064475,91868097,77943150,64748897,64748896,77943148,91868095,95655016,258156482,81622122,68132393,55734518,44826880,44826882,55734523,68132400,81622134,81622125,81622126,76610342,63530700,51752176,41482254,32603831,256367580,51752178,63530703,76610343,84295907,91868100,90468748,84295912,70744265,58030177,46657644,36772520,28276828,28276827,36772517,46657639,58030167,70744252,84094393,70558017,57856484,57856483,70558015,84094392,84094373,84094309,70557921,57856399,256824803,28158958,20979571,15067800,10391294,10391295,15067802,255798857,36633491,46500420,57856496,255968728,57856437,46500387,36633463,36633462,46500382,36633459,28158939,20979561,15067794,10391290,10391289,15067792,20979557,28158931,256824807,269766711,256824805,36633433,46500350,57856417,57856428,70557960,70557976,84094359,70557973,70557974,84094335,84094336,84094358,84094357,97968001,84094347,70557959,70557958,84094325,84094324,84094343,70557957,60368272,48972504,48972503,258190081,78345834,65067043,65067044,78345836,92378162,86713134,259437383,86713147,86713146,100689350,114739357,125722654,128640881,260136466,260265801,105526082,100689341,86713139,73107625,73107623,86713138,100689339,86713144,86713142,100689345,111905217,100689358,86713153,86713152,100689355,114739361,105526074,91308018,91308020,105526078,119759780,105526093,105526094,91308067,91308066,105526100,91308061,91308060,98194203,105526110,259021979,77389017,91308076,270390588,102097003,88110097,74498371,74498372,88110099,102097006,102097016,88110124,88110125,102097018,105526096,91308054,88110110,88110111,88110107,88110108,84297850,84297851,257084406,36773929,255579264,61716960,74498401,88110132,269878116,84297861,98194202,98194204,84297893,70746133,70746115,58031814,46659156,36773935,36773934,46659155,58031812,70746110,70746098,70746097,84297854,84297870,84297871,98194212,98236304,98194214,98194215,259419376,84329099,70770250,70770251,84329100,98236296,112214629,126070896,112214622,112214621,112214614,98236285,98236286,112214616,112214648,112214649,126070911,139442393,126070910,112214646,112214645,112214618,112214617,126070892,139442387,131185754,117381709,103251546,103251544,89161057,258780476,117381716,117381718,131185756,126653051,112794352,98801732,84873088,84873087,98801731,112794350,103251563,89161058,89161059,257595022,112214651,112214650,126070914,139442395,131185760,117381722,103251572,89161071,75413129,62494282,50894412,40778181,32021952,32021951,40778178,50894407,62494280,75413125,75413117,62494274,50894404,50894403,62494271,75413113,89161052,103251559,117381715,112770782,112770781,112770784,98781317,98781318,112770786,126625793,126625789,112770778,112770777,112770829,98781377,84855075,84855078,84855070,71281581,71281580,84855068,98781370,112770822,126625802,112770815,98781354,255522840,58550104,58550105,58550107,58550108,71281572,84855056,84855072,98781375,98781324,84855037,84855038,98781336,112770791,98781342,84855061,71281575,58550110,47161523,37256240,28724689,21467949,21467948,28724688,255137454,58550100,71281551,58550085,58550086,58550088,58550087,71281519,71281520,71281563,58550101,58550102,58550117,47161527,37256242,28724691,21467950,15466440,10694444,10694443,15466438,21467947,28724686,37256235,47161511,58550080,71281540,84855024,98781326,86560006,72960400,72960401,86560008,100213416,100213415,98429648,84508109,70944465,58227267,46859491,268241822,21267608,255341234,15279205,12058546,10385550,6844421,4294676,2567608,2567607,4294672,6844413,10385532,9234598,6048125,6048127,6533072,6054186,6054185,9243761,13509748,13532386,13532387,15286704,18953598,13516952,12069082,10925128,10925133,15772697,18967751,13532155,9262199,6066411,3795595,2273515,2273513,3795586,6066402,9262180,13532132,13505395,13505396,18941693,21253800,28473568,36971738,46850531,255522834,84499837,98421552,100213418,100213417,107011324,107011323,121303698,123566744,109375788,257014524,120934818,120934817,120934818,258825858,92380347,260013079,86071461,72473356,59738211,48354712,38452792,29895569,22540011,16364986,11388603,7566074,7566075,11388606,16364990,22540016,22540019,16364994,11388610,7566077,4783995,2882755,1672710,951581,951582,1672712,2882759,4784004,7566093,255097543,22540062,29895620,38452840,48354746,38452827,38452822,38452821,48354741,48354747,48354824,38452907,29895671,22540107,16365056,16364932,16364931,11388745,7566183,4784054,4784053,7566181,7566186,4784055,2882793 Dl.O(d2) = 30910047,23474324,17192674,17192673,23474322,30910051,39519280,39519284,39519266,30910032,23474307,255989537,39519264,39218503,30621300,30621301,39218504,257137387,62859482,60853129,49451444,39519279,39519278,40510321,31814304,31814305,39519296,39519297,49451465,51754496,51754497,63533376,258825911,73287481,60544379,60544380,258339862,59494716,48106099,48106098,49451433,49451434,51411779,51411778,46742683,36861166,28362804,28362802,36861163,46742682,58112569,49376828,49145060,39218506,30621303,23199593,16930515,11849422,7919757,7919758,11849425,16930520,23199601,30621316,34093070,43177174,39218498,39218497,49145055,60544374,60544389,257415518,30621322,30621323,27984495,27984494,23199597,16930517,16930516,23199595,30621305,39218508,257249770,33614750,33614751,42641367,53090509,65073913,65073911,257674334,81540372,68053580,55656776,44748601,35322539,27198829,27198828,35322538,44748600,47061259,37169556,37169555,47061257,58436707,71158631,257674332,70716643,58436721,58436722,61760535,61760536,74544025,88158572,256900600,58436702,47061253,37169552,28652287,21409523,15421100,15421101,21409525,256323577,47061265,58436714,71158640,70557917,70557919,84094306,97967972,97968030,105746778,98886730,84961776,74118824,74118823,64423519,52549514,42190813,33230563,25481909,25481910,256646331,52549520,64423526,77592187,70557965,70557964,84094352,97968009,95233138,95233139,106064472,106064475,91868097,77943150,64748897,64748896,77943148,91868095,95655016,258156482,81622122,68132393,55734518,44826880,44826882,55734523,68132400,81622134,81622125,81622126,76610342,63530700,51752176,41482254,32603831,256367580,51752178,63530703,76610343,84295907,91868100,90468748,84295912,70744265,58030177,46657644,36772520,28276828,28276827,36772517,46657639,58030167,70744252,84094393,70558017,57856484,57856483,70558015,84094392,84094373,84094309,70557921,57856399,256824803,28158958,20979571,15067800,10391294,10391295,15067802,255798857,36633491,46500420,57856496,255968728,57856437,46500387,36633463,36633462,46500382,36633459,28158939,20979561,15067794,10391290,10391289,15067792,20979557,28158931,256824807,269766711,256824805,36633433,46500350,57856417,57856428,70557960,70557976,84094359,70557973,70557974,84094335,84094336,84094358,84094357,97968001,84094347,70557959,70557958,84094325,84094324,84094343,70557957,60368272,48972504,48972503,258190081,78345834,65067043,65067044,78345836,92378162,86713134,259437383,86713147,86713146,100689350,114739357,125722654,128640881,260136466,260265801,105526082,100689341,86713139,73107625,73107623,86713138,100689339,86713144,86713142,100689345,111905217,100689358,86713153,86713152,100689355,114739361,105526074,91308018,91308020,105526078,119759780,105526093,105526094,91308067,91308066,105526100,91308061,91308060,98194203,105526110,259021979,77389017,91308076,270390588,102097003,88110097,74498371,74498372,88110099,102097006,102097016,88110124,88110125,102097018,105526096,91308054,88110110,88110111,88110107,88110108,84297850,84297851,257084406,36773929,255579264,61716960,74498401,88110132,269878116,84297861,98194202,98194204,84297893,70746133,70746115,58031814,46659156,36773935,36773934,46659155,58031812,70746110,70746098,70746097,84297854,84297870,84297871,98194212,98236304,98194214,98194215,259419376,84329099,70770250,70770251,84329100,98236296,112214629,126070896,112214622,112214621,112214614,98236285,98236286,112214616,112214648,112214649,126070911,139442393,126070910,112214646,112214645,112214618,112214617,126070892,139442387,131185754,117381709,103251546,103251544,89161057,258780476,117381716,117381718,131185756,126653051,112794352,98801732,84873088,84873087,98801731,112794350,103251563,89161058,89161059,257595022,112214651,112214650,126070914,139442395,131185760,117381722,103251572,89161071,75413129,62494282,50894412,40778181,32021952,32021951,40778178,50894407,62494280,75413125,75413117,62494274,50894404,50894403,62494271,75413113,89161052,103251559,117381715,112770782,112770781,112770784,98781317,98781318,112770786,126625793,126625789,112770778,112770777,112770829,98781377,84855075,84855078,84855070,71281581,71281580,84855068,98781370,112770822,126625802,112770815,98781354,255522840,58550104,58550105,58550107,58550108,71281572,84855056,84855072,98781375,98781324,84855037,84855038,98781336,112770791,98781342,84855061,71281575,58550110,47161523,37256240,28724689,21467949,21467948,28724688,255137454,58550100,71281551,58550085,58550086,58550088,58550087,71281519,71281520,71281563,58550101,58550102,58550117,47161527,37256242,28724691,21467950,15466440,10694444,10694443,15466438,21467947,28724686,37256235,47161511,58550080,71281540,84855024,98781326,86560006,72960400,72960401,86560008,100213416,100213415,98429648,84508109,70944465,58227267,46859491,268241822,21267608,255341234,15279205,12058546,10385550,6844421,4294676,2567608,2567607,4294672,6844413,10385532,9234598,6048125,6048127,6533072,6054186,6054185,9243761,13509748,13532386,13532387,15286704,18953598,13516952,12069082,10925128,10925133,15772697,18967751,13532155,9262199,6066411,3795595,2273515,2273513,3795586,6066402,9262180,13532132,13505395,13505396,18941693,21253800,28473568,36971738,46850531,255522834,84499837,98421552,100213418,100213417,107011324,107011323,121303698,123566744,109375788,257014524,120934818,120934817,120934818,258825858,92380347,260013079,86071461,72473356,59738211,48354712,38452792,29895569,22540011,16364986,11388603,7566074,7566075,11388606,16364990,22540016,22540019,16364994,11388610,7566077,4783995,2882755,1672710,951581,951582,1672712,2882759,4784004,7566093,255097543,22540062,29895620,38452840,48354746,38452827,38452822,38452821,48354741,48354747,48354824,38452907,29895671,22540107,16365056,16364932,16364931,11388745,7566183,4784054,4784053,7566181,7566186,4784055,2882793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 663378, s2 = 11185848, dlinesl.size( ) = 2 s1 = 663378, s2 = 11185848, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 663378, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11111609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111609, s2 = 11176740, int(edited[s2]) = 0 s1 = 11111609, s2 = 11176740, d1 = 24, d2 = 42 Dl.O(d1) = 47277942 Dl.O(d2) = 71403934 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13388612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13388612, s2 = 11240862, int(edited[s2]) = 0 s1 = 13388612, s2 = 11240862, d1 = 11, d2 = 14 Dl.O(d1) = 21117786,21117787,28327981,28850198,37390047,257214380,268752354,33858159,42903200,48730173,58078516,70751931,58037620,268303684,36779580,46651545,36766856,28271942,21069084,15134045,10437940,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983182,18983177,17069873,11980709,11980713,17069810,11980678,11980679,17069812,19459110,26158638,28990631,26168911,26168832,26168831,34010671,30826909,30826910,255682274,37890299,37890300,40027567,49397454,258844293 Dl.O(d2) = 254843320,12591688,12591689,11823724,7901655,5022786,4380977,4380978,6973780,9258072,9258073,10549412,6957470,6957471,10549420,10528644,6967771,4377457,4377456,6967769,10564116,15288280,18962818,18962817,21260473,17573413,15297918,10562436,6966614,6957668,4371440,2618839,2618821,2618822,4371407,4373109,2619717,2619715,4368962,4368964,6953248,8380805,8380809,6228453,6228451,8115277,8115276,8114469,6972352,6972353,6972122,6971798,6971799,8384572,8272017,5337651,5337649,8272008,12247827,9378759,6144040,5197477,3171058,3171059,5197456,4373592,4373590,5403074,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,6061755,3793623,2272360,2272362,3793632,6063306,4366738,4366741,6949286,255024019,255392876,8114825,8114823,268665203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13388612, s2 = 11240862, dlinesl.size( ) = 16 s1 = 11111755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11840960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111815, s2 = 11376272, int(edited[s2]) = 0 s1 = 11111815, s2 = 11376272, d1 = 1, d2 = 3 Dl.O(d1) = 257292840,19061580,261456647 Dl.O(d2) = 263360431,189962845,264679314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111815, s2 = 11376272, dlinesl.size( ) = 2 s1 = 11111815, s2 = 11376272, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11111815, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11111875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111875, s2 = 11083362, int(edited[s2]) = 0 s1 = 11111875, s2 = 11083362, d1 = 21, d2 = 18 Dl.O(d1) = 255847179 Dl.O(d2) = 255427782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111875, s2 = 11083362, dlinesl.size( ) = 22 s1 = 11112015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112015, s2 = 11129712, int(edited[s2]) = 0 s1 = 11112015, s2 = 11129712, d1 = 4, d2 = 16 Dl.O(d1) = 47346675 Dl.O(d2) = 255649436,98960953,112950008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112015, s2 = 11129712, dlinesl.size( ) = 8 s1 = 11112601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112601, s2 = 11330552, int(edited[s2]) = 0 s1 = 11112601, s2 = 11330552, d1 = 5, d2 = 1 Dl.O(d1) = 47448816,58834901 Dl.O(d2) = 259949883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112601, s2 = 11330552, dlinesl.size( ) = 2 s1 = 11112601, s2 = 11330552, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11112601, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11112607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112607, s2 = 14243779, int(edited[s2]) = 0 s1 = 11112607, s2 = 14243779, d1 = 7, d2 = 7 Dl.O(d1) = 256348912,255050406,254508728,254508730,26648030,26648029,23914751,23716735,17393033,17393034,12381307,12381306,17551720,17558955,12388141,12388140,17558952,16801436,12254575,12254574,17390111,23713851,17553017,12382576,12382578,17553014,23898302,28478231,23738032,23738036,24296674,23738068,17413244,12271988,8287074,5346124,3285608,1932238,1932239,3285612,5346093,3285588,1932231,1932228,3285573,5346062,8286966,7737955,4899302,2952746,1712321,1712318,2952739,4899283,7737925,11619291,10710277,7075663,4454618,4454619,7075671,10710294,15465283 Dl.O(d2) = 256348912,255050406,254508728,254508730,26648030,26648029,23914751,23716735,17393033,17393034,12381307,12381306,17551720,17558955,12388141,12388140,17558952,16801436,12254575,12254574,17390111,23713851,17553017,12382576,12382578,17553014,23898302,28478231,23738032,23738036,24296674,23738068,17413244,12271988,8287074,5346124,3285608,1932238,1932239,3285612,5346093,3285588,1932231,1932228,3285573,5346062,8286966,7737955,4899302,2952746,1712321,1712318,2952739,4899283,7737925,11619291,10710277,7075663,4454618,4454619,7075671,10710294,15465283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112607, s2 = 14243779, dlinesl.size( ) = 2 s1 = 11112607, s2 = 14243779, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11112607, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11112621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112621, s2 = 12952575, int(edited[s2]) = 0 s1 = 11112621, s2 = 12952575, d1 = 8, d2 = 11 Dl.O(d1) = 37543346,28997952 Dl.O(d2) = 7171976,4517676,2715285,1573354,1573355,2715293,4517692,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273,2572276,4302227,6855227,10399304,15076970,15102467,16804549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112621, s2 = 12952575, dlinesl.size( ) = 2 s1 = 11112621, s2 = 12952575, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11112621, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11112845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112845, s2 = 11155872, int(edited[s2]) = 0 s1 = 11112845, s2 = 11155872, d1 = 19, d2 = 22 Dl.O(d1) = 258709213 Dl.O(d2) = 260715284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112845, s2 = 11155872, dlinesl.size( ) = 30 s1 = 11112901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112901, s2 = 11288444, int(edited[s2]) = 0 s1 = 11112901, s2 = 11288444, d1 = 13, d2 = 11 Dl.O(d1) = 256079272,21782040,29079983,257476725 Dl.O(d2) = 259954707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112901, s2 = 11288444, dlinesl.size( ) = 14 s1 = 14074477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13390270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11113031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113031, s2 = 11174128, int(edited[s2]) = 0 s1 = 11113031, s2 = 11174128, d1 = 19, d2 = 15 Dl.O(d1) = 256515738,10904707,10904705,12229820,8257437,8257438,10955359,9460531,6203004,6202994,6202737,3882360,3882358,6202730,9460060,13795786,14574251,20308496,19295772,19295773,25960920,24226472,17854693,12644427,8585371,5578648,3461190,3461191,5578653,8585377,12644435,17590628,12416442,12416441,15782891,21854046,19296403,15809342,10955373,7250926,7250928,10955381,15745224,10904758,7212017,7212016,10904753,15745153,20308453,20308452,17359904,15745094,15745095,12229796,9460541,6203009,3882517,2324894,1347780,1347775,2324831,3882377,6202773,254944087 Dl.O(d2) = 53254622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113031, s2 = 11174128, dlinesl.size( ) = 24 s1 = 11113215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113215, s2 = 11095868, int(edited[s2]) = 0 s1 = 11113215, s2 = 11095868, d1 = 3, d2 = 12 Dl.O(d1) = 47640566 Dl.O(d2) = 256570126,49117746,49117745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113215, s2 = 11095868, dlinesl.size( ) = 14 s1 = 11113287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113287, s2 = 14041427, int(edited[s2]) = 0 s1 = 11113287, s2 = 14041427, d1 = 9, d2 = 0 Dl.O(d1) = 37731924,29171478,28252465,28252466,256832085,48240165 Dl.O(d2) = 16237482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113287, s2 = 14041427, dlinesl.size( ) = 2 s1 = 11113287, s2 = 14041427, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11113287, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 1006749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11113437, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15894238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15894238, s2 = 15102055, int(edited[s2]) = 0 s1 = 15894238, s2 = 15102055, d1 = 8, d2 = 15 Dl.O(d1) = 85423519,71838435,59099067,59099070,59099156,59099157,71838519,85425109,71838460,71838461,85423485,71836150 Dl.O(d2) = 71836151,65525519,53499921,53499922,65525523,71839622,59100432,47702316,37781711,268626894,59100429,71838459,71839289,71839288,60484288,49080759,39150637,30552495,23134129,16873608,16873609,23134130,30552496,39150633,49080752,60484273,256906752,37779839,37779840,47700039,59097875,47700951,37780623,29219605,21904799,15824289,15824290,16843245,23099408,23099414,16843248,11779017,7864547,4992041,3015832,3015831,4992039,254810535,11779010,16843241,23099405,18341183,13020143,13020144,18341186,24835174,31834957,31834958,37697112,29136402,21829125,21829123,21829119,21829120,29136396,25885533,19225699,19225698,256159143,33141936,25402068,18812732,13402231,9162768,5996937,3750274,2245724,2245723,3750272,5996933,9162758,13402213,18812705,25402032,33141897,36922752,28424198,21200927,21200926,25641040,33407668,40532720,31834954,31834953,39749480,49448608,49023900,42396776,33407691,25641057,25641056,31056737,25401979,25401980,33141842,42095994,39516662,30907755,23472366,17191013,17191014,23472368,30639380,30639381,39237487,49164293,49778163,39759492,39759493,32475349,32475348,33141682,25402038,18812710,18812709,24316172,31834904,40532656,33388338,25622667,25622666,33388337,29660751,22308425,22308426,17930013,12704253,12704254,17930017,24316142,31834874,24316246,17930108,12704324,254773060,17930103,12704322,8631350,8631351,12704323,17930105,12704376,12704377,17930179,16047532,11142727,7390926,7390927,11142729,16047536,17929976,17929977,24316015,267830076,16047591,17929912,12704181,12704180,15244135,11142808,255077373,7390945,7390944,11142753,16047585,22171356,22171275,22171274,24316032,24316031,29512467,22171269,16047491,11142703,11142704,11228885,11142807,7390970,4669433,4669432,7390968,11142805,16047665,22171435,29512586,38077032,29512582,29512499,22171310,16047526,11142725,7390925,4669409,2813278,2813277,4669405,7390920,11142720,16047521,22171307,29512460,38076933,46333654,36477975,29512463,22171266,22171265,22171329,16047549,11142735,7390940,4669419,4669418,7390939,11142749,16047578,16075626,16075605,16075602,255803415,21033349,16047395,16047396,16047401,22171155,19069279,19069278,25694130,29512280,28017085,28017086,33464531,25692090,19067612,19067613,25692091,19069420,19069421,25694292,33466723,25694128,19069426,13655202,9350722,9350720,13600045,9321845,6106271,6106272,9321818,9321819,13613733,19069235,25694094,22171140,16047393,13613913,13613914,13613850,13613851,13543277,13543276,13613772,9321849,6106273,6106274,9321851,13613777,19069229,19030314,255275921,13613921,19069434,25694108,19069254,19051071,13613742,9321824,6106260,6106259,6106266,9321836,9321838,9321839,13613765,19069259,13613751,13613750,15507524,268209431,25595192,25595193,256301365,25694111,19083784,13624891,13624892,19083786,19154413,18758713,13357546,13357548,18758718,21597470,25620763,19006484,17874312,17874311,13565103,13565102,16268683,11502702,11502700,9316807,6103137,6103136,9316802,13606189,19031521,13584526,13584527,19031526,19105520,25601248,22432175,22432173,27213909,22413301,16248967,16248969,22413302,17253155,12133567,12133566,17253152,23564281,31048495,31699849,30645058,30645057,39241568,33390431,33390432,256552132,25618585,31685524,31385018,31385016,25626193,19011453,19011452,20300955,25767876,25767877,33384539,29799648,22433187,19107265,13642400,13642398,14397092,20079908,19077939,13620275,9326420,9326419,11119332,11119333,16014751,22129535,29464334,38026501,40453072,31758354,268138778,12654584,255201721,17871043,12655350,12655351,17871045,24248018,25625636,31369115,31369113,25623677,19009087,13566879,9288910,9288912,13566883,17869819,12654544,11308653,7508038,4745916,4745919,7508054,11308693,11119404,7375318,7375316,11119399,16014872,15707683,10873753,7189322,7189323,10873755,15707686,17866686,12652419,12652418,17866672,12652411,12652412,17866673,24242610,30804692,23376651,255981433,25757682,256667579,37827851,37827850,29464371,29464370,23376633,23376632,30804660,39409615,49339095,48646096,48646095,60042446,60742368,50035725,50035726,50035727,42562840,33546450,25757680,25757681,33546453,42562845,39409652,30804679,23376643,17106874,12020889,12020887,17106869,23376635,30804666,39409625,40016377,39398871,257028129,60729111,60729112,73477312,257609381,49339129,59524717,48137619,48137618,257045923,31056774,23573079,23573081,29660861,22308521,16161785,16161784,255902341,38227160,48137388,39734930,39734929,49753623,39734926,31056767,255902367,22308727,268635803,29661100,256398837,30795926,38227973,29661645,23573072,17261638,12141231,12141230,17261636,23573049,17261619,12141221,12141222,17261624,23573054,31056758,37913809,29344745,29344744,37913807,47835189,48137729,38227581,38227580,48137723,42579836 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15102056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15102056, s2 = 15894237, int(edited[s2]) = 0 s1 = 15102056, s2 = 15894237, d1 = 15, d2 = 28 Dl.O(d1) = 38524307,29959097,22594558 Dl.O(d2) = 43929592,37779148,37779149,37780147,47700393,47699508,37779433,29218731,268626895,47699509,59097302,59099338,47701337,37780888,29219785,29219784,37779908,29219064,29219063,37779907,47700115,47700216,47700371,47699428,37779347,37779346,47699426,47700274,47699462,37779381,29218698,21904265,21904263,29218704,257486459,257486441,37779308,29218658,29218659,37779310,29219239,29219238,29219108,21904495,21904494,29219106,268934317,29218537,21904225,15823948,10965863,7258378,4577597,2754052,2754054,254515805,10965884,255870529,37779473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113603, s2 = 11051570, int(edited[s2]) = 0 s1 = 11113603, s2 = 11051570, d1 = 11, d2 = 15 Dl.O(d1) = 255871151,12469917,12469379,12468814,8437912,254860007,12442916,12438048,8406613,8406617,5454824,5454828,5438688,5438687,5438774,3353269,3353268,3353279,3353276,5448429,7298201,4603284,2770063,2770064,4603285,267971209 Dl.O(d2) = 29330839,29330840,257496989,31322725,23832272,17493664,254849611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113603, s2 = 11051570, dlinesl.size( ) = 18 s1 = 11113621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113621, s2 = 11006592, int(edited[s2]) = 0 s1 = 11113621, s2 = 11006592, d1 = 1, d2 = 9 Dl.O(d1) = 37792520 Dl.O(d2) = 254168916,11386349,7564652,4783117,2882223,1672401,951420,951423,1056844,1851841,3163443,5185241,8093500,5426520,5426518,8409318,11386813,15336378,10592377,6987569,6987567,10592371,6987595,4390865,4390867,6987603,10592437,15336466,21305874,16466691,11473193,11473191,15336310,10592337,6987544,4390838,2630807,2630805,4390811,255028955,21305616,256007997,23753954,22652407,22652406,21305981,15336583,10592534,6987659,6987660,10592542,15336596,10735923,7093334,7093333,10735916,15523088,21538707,15523304,15523303,21539008,28805798,22535349,16361480,11386406,11386405,15523540,10736188,10736187,15523535,21539366,16362544,11386850,7564975,7564978,7565028,11386948,15336221,15336222,21305561,22536859,21538838,15523177,15523176,15523181,21538847,28805670,28805549,21538737,21538739,22535315,17640416,12464664,12464663,17640409,23986216,21305977,21305976,21538407,21538675,15523066,10735905,10735906,15523069,21538681,28527813,21305702,17130294,17130293,23403186,29889788,22535339,16361873,16361875,22535915,28806231,28806230,37344251,38448291,29891513,22536784,22536785,22652322,22652323,28805899,21539093,21539094,28805903,36795184,36795185,29891540,22536800,22536799,28856959,28856958,37343847,37343846,29438659,22105517,15994502,15994500,17640404,23986208,31483119,28984989,28984991,37343756,37343737,28805643,28805642,28805493,28805260,21538466,21538465,21538496,21538498,28098620,20923208,15015816,10344070,6810095,6810096,10344076,15015828,20923238,28098578,21305582,15336231,15336230,21305577,28527673,28805911,21539107,15523353,15523355,21539109,28805918,36795202,258649413,256388268,37343971,37343973,28806001,21539169,21539170,28806003,37343908,37343909,38099095,29535124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113621, s2 = 11006592, dlinesl.size( ) = 2 s1 = 11113621, s2 = 11006592, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11113621, Dl.E( ) = 18, 2e-05 seconds used appending s1 = 1064794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1064794, s2 = 11483548, int(edited[s2]) = 0 s1 = 1064794, s2 = 11483548, d1 = 86, d2 = 111 Dl.O(d1) = 27131819,35225758,44606648 Dl.O(d2) = 188495588,196353132,203072373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1064794, s2 = 11483548, dlinesl.size( ) = 14 s1 = 13391228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11114049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114049, s2 = 11474002, int(edited[s2]) = 0 s1 = 11114049, s2 = 11474002, d1 = 26, d2 = 34 Dl.O(d1) = 256111060,10269949,6748855,4228825,4228829,6748865,7889744,7889745,11811402,9965426,6549596,6549597,7124843,7124845,10783147,15587691,21617707,261120933 Dl.O(d2) = 206510319,211503059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114049, s2 = 11474002, dlinesl.size( ) = 36 s1 = 16088897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16361225, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11114191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114191, s2 = 11841761, int(edited[s2]) = 0 s1 = 11114191, s2 = 11841761, d1 = 3, d2 = 6 Dl.O(d1) = 254719740,15905058 Dl.O(d2) = 7137037,4493345,2699571,1563874,889036,501601,281296,155302,85205,85201,155290,85221,46709,46707,85150,85164,46678,46681,85172,155228,281162,501367,888627,516002,516005,605109,1077359,1888199,3221787,5267037,254515421,2752112,1595364,906971,906970,1595362,2752110,4574611,7137477,254328342,1563975,1077340,605100,336784,336785,605106,1077352,1888187,3221769,2753443,1596175,907406,907404,1596169,2753437,1903709,1884293,1884292,3216279,4733725,2852307,1655113,941705,941704,1080034,606620,606618,1080032,1608181,914897,516283,289723,289722,516282,517017,916302,600201,600200,1067952,1872280,3198398,3263571,3263570,4625546,4625545,7324584,8175498,5274241,5274242,5289569,4627736,4627735,5300564,8184274,5253900,3210604,1880412,1072772,602745,602744,1072769,1880408,3210599,5253894,254263425,1077016,1077015,1616637,1875365,3202773,3208687,2788666,2788665,2776858,2776859,4611934,4626474,4611906,4611907,2786485,1616454,1616453,2786484,4626490,3209058,3207914,3207915,5250526,4617508,4617509,7308093,4619903,4619902,7318018,8187395,8211243,7319887,4621566,2782959,1614257,1614258,2782961,3207319,1878327,1878326,3207316,254391387,1878592,1071730,602209,602165,335352,184397,184400,335362,602189,1071692,1878509,2784229,2783510,2783512,3274985,1926331,1926330,3274980,2999136,1741794,1741796,2999142,4965655,7823896,5252129,4627082,3209644,3209642,4624478,4624456,2784894,2784897,4624474,5241070,8149675,5221201,3185018,1863914,1863911,3185008,5221184,8149094,5220791,5220790,4612862,4612864,4612345,2777184,1611104,1611105,2777186,4612348,7308314,7315302,7315301,11041001,255443613,15916925,11038901,11038900,15916924,17235841,12117680,12117681,11038988,7313444,4616498,4616499,7313447,11038991,15916971,12137523,12137524,8180434,8150072,5221552,5221551,5264061,8194233,12163277,12116902,12116904,17235356,255543759,12117181,11032552,8258758,8258756,12150203,17271350,12183456,267907185,5285046,267994567,12231140,254587467,5328292,7280821,7280822,8258837,254837889,8213831,8214455,5315440,3264744,3264742,2752751,1595773,907189,907190,1595775,2752754,3238035,267842179,5293065,3244346,1904146,1087036,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,1655400,2852754,4734332,3243114,3243113,3249955,254264959,1901463,3240712,5289125,8175500,5245102,3203633,3203634,5245105,254834671,6978261,4384247,2626187,1516102,1516101,2626185,1902946,1902945,1087867,254182493,610065,339371,186327,101866,254080075,339364,610050,1086500,1903328,3243271,3232130,1895666,1895668,3232135,5264750,3219803,1894501,1081286,607306,337936,337934,607302,1081277,1894475,3230415,5276171,254575313,3174483,1858412,1858413,1858437,1858445,1858448,2788545,2788547,4629056,5281041,7321499,7307599,4611613,2776600,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607005,2771045,4604656,254758883,7319361,5267376,5267373,8194250,8221376,12191144,12119684,8151172,7312861,4616040,4616039,7312860,11038417,11038287,7312743,7312744,5224968,5224970,7895696,7895698,5294039,5294040,8154029,11039258,11032500,11032498,12121591,11043523,7318178,5219129,5219126,5253505,3210254,1880201,1880202,1880193,1880192,3210239,4966969,7825577,4971195,4971194,4611200,4611201,7307095,11032508,7825811,4967144,4967143,7825808,11723333,15909427,11030818,7305486,7305485,11030814,11038328,8148909,5220655,3184697,3184698,5220656,7312654,4615893,4615892,4615976,4615978,3197093,1871476,1871478,3197104,5237456,8167949,255155923,12117719,8150444,7825816,4967150,4967151,7825819,7822965,4964850,2998703,267767967,989632,1741579,1063578,1063579,1864313,3185721,5222245,5305376,8233249,267791054,11027407,11027406,254535528,11111249,7369325,4655430,2804589,1626976,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244731,8175151,7820359,5318912,5318909,8218262,8218261,12188043,8229332,8229333,8278208,7402231,4676277,2817177,2817175,4676273,4960832,7493604,11286789,8454632,8454631,255068089,7818918,4961028,254396433,1913709,1913710,3257572,3257574,5236570,5236571,5275696,5275697,8204447,8207601,7487097,4731456,2850740,2850737,3359514,1975094,1127538,1083063,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093820,1915251,3259736,5309599,5310260,5310259,8237749,12164393,8195819,5297918,5277757,5277758,5281361,4961977,254248047,1740282,1740243,988912,988869,556331,556332,988876,1740163,2996428,3214826,5259102,4624968,2785231,1615540,918795,518186,254123067,1615535,2785225,4624957,5259237,5236619,3196597,3196596,5236617,7322569,5311701,3261568,3261569,5259203,5251103,3208414,3208412,5251100,8181468,12151315,12147728,267993483,8177321,5311342,3261268,1916349,1916348,254396821,8189066,8189064,11027731,15906135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114191, s2 = 11841761, dlinesl.size( ) = 2 s1 = 11114191, s2 = 11841761, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11114191, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11841762, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13392540, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11114687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114687, s2 = 13997057, int(edited[s2]) = 0 s1 = 11114687, s2 = 13997057, d1 = 20, d2 = 28 Dl.O(d1) = 38006166,29443245,22109603 Dl.O(d2) = 254764883,15997888,22109600,15997893,15997892,11106156,255074663,268631042,15997884,11106158,7365958,7365959,11106159,15997895,22109600,15997893,15997892,11106156,254764240,4653381,2803392,1626295,924756,924755,1626293,254523018,924756,521289,292201,161631,88851,88850,161629,88849,48843,27301,15462,15463,27302,48844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114687, s2 = 13997057, dlinesl.size( ) = 24 s1 = 11114689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11841930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11114939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11115131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11842074, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11115275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115275, s2 = 11574054, int(edited[s2]) = 0 s1 = 11115275, s2 = 11574054, d1 = 14, d2 = 19 Dl.O(d1) = 262707579,263894773 Dl.O(d2) = 265862691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115275, s2 = 11574054, dlinesl.size( ) = 32 s1 = 11115297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115297, s2 = 11186204, int(edited[s2]) = 0 s1 = 11115297, s2 = 11186204, d1 = 17, d2 = 20 Dl.O(d1) = 258122293 Dl.O(d2) = 270801590,17968022,24363457,31891327,38282460,258134851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115297, s2 = 11186204, dlinesl.size( ) = 18 s1 = 11115603, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11115653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115653, s2 = 10996448, int(edited[s2]) = 0 s1 = 11115653, s2 = 10996448, d1 = 13, d2 = 25 Dl.O(d1) = 48107361 Dl.O(d2) = 29349786,22018044,15916586,13170991,13170989,267994491,8211391,12179466,17301418,23614518,31098259,25079791,23757397,17430301,17430300,17393459,12257320,12257321,17393460,23638851,23757434,23627854,255096540,17274321,12153616,8184021,8184022,254240030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115653, s2 = 10996448, dlinesl.size( ) = 32 s1 = 11115729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115729, s2 = 11348292, int(edited[s2]) = 0 s1 = 11115729, s2 = 11348292, d1 = 0, d2 = 14 Dl.O(d1) = 38211288 Dl.O(d2) = 166835081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115729, s2 = 11348292, dlinesl.size( ) = 20 s1 = 13394390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11115905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115905, s2 = 10977416, int(edited[s2]) = 0 s1 = 11115905, s2 = 10977416, d1 = 6, d2 = 2 Dl.O(d1) = 254237640 Dl.O(d2) = 1649195,254074526,2842993,1649195,254070708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115905, s2 = 10977416, dlinesl.size( ) = 2 s1 = 11115905, s2 = 10977416, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11115905, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11116139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116139, s2 = 11214112, int(edited[s2]) = 0 s1 = 11116139, s2 = 11214112, d1 = 32, d2 = 36 Dl.O(d1) = 270324037,262719991,264993345,263973958,153794275,258882212,261290248 Dl.O(d2) = 36770607,256497788,70741098,84020846,70486593,257124620,28096244,20921363,15014458,15014460,20921372,28096260,33426954,33426953,28261458,28261460,36755085,28260014,21058661,21058659,28260011,268401994,22397592,257528865,258761613,258423743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116139, s2 = 11214112, dlinesl.size( ) = 42 s1 = 11116163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116163, s2 = 11054178, int(edited[s2]) = 0 s1 = 11116163, s2 = 11054178, d1 = 10, d2 = 5 Dl.O(d1) = 254494128 Dl.O(d2) = 70891219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116163, s2 = 11054178, dlinesl.size( ) = 12 s1 = 11116183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116183, s2 = 11060288, int(edited[s2]) = 0 s1 = 11116183, s2 = 11060288, d1 = 7, d2 = 4 Dl.O(d1) = 254809230,16219161,16218612,13208462,9003939,5877864 Dl.O(d2) = 25139938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116183, s2 = 11060288, dlinesl.size( ) = 12 s1 = 16241217, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16271689, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11116445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116445, s2 = 10553108, int(edited[s2]) = 0 s1 = 11116445, s2 = 10553108, d1 = 35, d2 = 15 Dl.O(d1) = 38364804,255979636 Dl.O(d2) = 48276223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116445, s2 = 10553108, dlinesl.size( ) = 12 s1 = 11116485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116485, s2 = 11090670, int(edited[s2]) = 0 s1 = 11116485, s2 = 11090670, d1 = 0, d2 = 25 Dl.O(d1) = 48283589,270845069,259390245 Dl.O(d2) = 260573674,257532277,38372821,29800822,22434474,16266676,16266677,22434478,19037628,13589502,13589503,13164657,8973285,5857867,5857868,8973291,13164662,13588103,255678085,268956062,3714928,4250977,2541351,2541350,4250974,5955754,5955753,9075877,13293738,254477042,6776750,10294324,6776022,4247323,2539348,2539349,4247325,4248225,4248212,2539826,1463395,1463396,254322763,5588483,3467061,254420889,7655363,4843934,2919146,1693425,962995,542686,542687,962997,1693431,2919160,4843964,7655414,11507846,10798533,10798534,15105686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116485, s2 = 11090670, dlinesl.size( ) = 44 s1 = 11116487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116487, s2 = 11242798, int(edited[s2]) = 0 s1 = 11116487, s2 = 11242798, d1 = 11, d2 = 13 Dl.O(d1) = 48283895,48586711,255841976 Dl.O(d2) = 255409844,37323387,269317959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116487, s2 = 11242798, dlinesl.size( ) = 14 s1 = 11116549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11116667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11116837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116837, s2 = 11263600, int(edited[s2]) = 0 s1 = 11116837, s2 = 11263600, d1 = 0, d2 = 12 Dl.O(d1) = 38443044,29886456,27250033,255142294,23915308,31406398,37788928,255847804,31495824,254740464,28881433,37423563,37306328,37306329,47212924,39243281,30647482,30647272,30647273,23225655,16952357,11864792,11864790,16952352,255970505,39243302,269369201,72048716,72048715,85636444,72048721,72048722,269992367 Dl.O(d2) = 42175635,52533201,64406330,76981233,76981234,258900326,64406337,64406338,77574223,78899313,65564596,65564595,258433816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116837, s2 = 11263600, dlinesl.size( ) = 8 s1 = 11116969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116969, s2 = 11131750, int(edited[s2]) = 0 s1 = 11116969, s2 = 11131750, d1 = 14, d2 = 13 Dl.O(d1) = 38470254,30663445,30663446,39259238,47450003,47450004,256480046,60584962,257024864,100048475,86274530,86274531,272871119,185429444 Dl.O(d2) = 261154544,85579414,71992924,60030171,48637221,38719339,30139772,257557773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116969, s2 = 11131750, dlinesl.size( ) = 18 s1 = 11117069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15906915, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11117189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117189, s2 = 11412424, int(edited[s2]) = 0 s1 = 11117189, s2 = 11412424, d1 = 18, d2 = 29 Dl.O(d1) = 257542501 Dl.O(d2) = 154081353,165851498,176507544,165851500,154081355,154081354,165851499,165851497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117189, s2 = 11412424, dlinesl.size( ) = 34 s1 = 16223286, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117421, s2 = 10485202, int(edited[s2]) = 0 s1 = 11117421, s2 = 10485202, d1 = 0, d2 = 3 Dl.O(d1) = 256146838,11456027,7619965,254788165 Dl.O(d2) = 13801827,9464694,6205971,3884405,267780695,1348317,2325972,3884402,6205966,9464681,6206019,3884423,2325977,1348320,769352,437289,437290,769354,1348324,2325983,3884436,6206052,9464826,13802033,19303451,21339895,15365735,10616627,7006068,7006067,10616630,15365741,19303575,15182917,10472746,6905255,6905257,10472754,15182937,13771974,9441450,9441451,13771976,19267667,19267718,13772015,9441474,6189181,6189184,9441482,13654230,13654228,19123977,25763626,33553232,32490322,24848315,18352274,18352273,24848313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117421, s2 = 10485202, dlinesl.size( ) = 2 s1 = 11117421, s2 = 10485202, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11117421, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10721621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117717, s2 = 11069598, int(edited[s2]) = 0 s1 = 11117717, s2 = 11069598, d1 = 9, d2 = 2 Dl.O(d1) = 48537732,57813353,57813354,259261435 Dl.O(d2) = 256608936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117717, s2 = 11069598, dlinesl.size( ) = 14 s1 = 11117885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117885, s2 = 13799856, int(edited[s2]) = 0 s1 = 11117885, s2 = 13799856, d1 = 83, d2 = 107 Dl.O(d1) = 255930757 Dl.O(d2) = 170028959,180194050,189134726,196877895,203504384,209053497,210568858,214798875,218280031,221204974,223710165,225880092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117885, s2 = 13799856, dlinesl.size( ) = 48 s1 = 11117895, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11118207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118207, s2 = 10605775, int(edited[s2]) = 0 s1 = 11118207, s2 = 10605775, d1 = 0, d2 = 11 Dl.O(d1) = 256871910 Dl.O(d2) = 100340478,114365288,128242928,141594148,141594147,141594145,141594144,261663098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118207, s2 = 10605775, dlinesl.size( ) = 12 s1 = 11118227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118227, s2 = 11039028, int(edited[s2]) = 0 s1 = 11118227, s2 = 11039028, d1 = 7, d2 = 0 Dl.O(d1) = 38733210 Dl.O(d2) = 12027829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118227, s2 = 11039028, dlinesl.size( ) = 2 s1 = 11118227, s2 = 11039028, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11118227, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 11118267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118267, s2 = 10423489, int(edited[s2]) = 0 s1 = 11118267, s2 = 10423489, d1 = 15, d2 = 16 Dl.O(d1) = 38741131 Dl.O(d2) = 16556366,11540091,7677387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118267, s2 = 10423489, dlinesl.size( ) = 18 s1 = 11118373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118461, s2 = 11139382, int(edited[s2]) = 0 s1 = 11118461, s2 = 11139382, d1 = 9, d2 = 2 Dl.O(d1) = 258171903,86422882 Dl.O(d2) = 258004990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118461, s2 = 11139382, dlinesl.size( ) = 14 s1 = 11118549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118549, s2 = 11286656, int(edited[s2]) = 0 s1 = 11118549, s2 = 11286656, d1 = 19, d2 = 7 Dl.O(d1) = 48714082,60109153,72845627 Dl.O(d2) = 100395808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118549, s2 = 11286656, dlinesl.size( ) = 20 s1 = 11843232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11118581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118581, s2 = 11085652, int(edited[s2]) = 0 s1 = 11118581, s2 = 11085652, d1 = 40, d2 = 47 Dl.O(d1) = 258797285 Dl.O(d2) = 271801804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118581, s2 = 11085652, dlinesl.size( ) = 50 s1 = 11118677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118721, s2 = 11022814, int(edited[s2]) = 0 s1 = 11118721, s2 = 11022814, d1 = 47, d2 = 3 Dl.O(d1) = 38823148,38823149,33331607,25571804,18962666,18962665,22847350,29183846,21872861,15798475,10946449,7243799,256903745,59066479,261139701,153225882,262434639,145854255,145854254,145854282,262434651,261933901,132634426,145854253,158224255,169601366,179798557,188777538,179798553,263314383,262434635,145854245,145854244,158224245,169601353,158224265,158224262,145854259,132634429,118815660,118815661,132634434,145854270,158224276,169601385,158224287,145854281,132634442,118815669,104635149,90471433,90471432,104635145,118815665,132634437,261396725,260232181,90471427,90471425,104635139,118815657,132634426,145854252,158224251,169601360,262434635,158224246,158224274,145854268,132634433,132634434,145854270,158224276,169601385,158224287,145854281,132634442,118815669,104635149,90471433,90471432,104635145,118815664,118815663,118815665,132634437,261396725,260232181,90471427,90471425,104635139,118815657,132634426,145854252,158224252,169601361,263314385,262897147,158224261,158224260,169601370,179798564,188777544 Dl.O(d2) = 104635136,90471428,76612856,257747783,256606811,24941385,255236167,8919822,8919824,13089471,18427957,18427970,18427971,24941427,32604914,24941436,18427976,13089480,13089481,255634289,32604935,37799127,255871943,15834615,15834616,268395523,37799137,32604863,24941402,24941399,27047832,35133477,44510377,55357031,256867762,76618317,76618319,71115501,58397582,47025601,37137387,28624561,28624560,37137385,47025598,41489327,32609895,32609897,41489330,257748449,76618183,70559895,57858318,51759981,51759980,41489721,41489722,51760179,58397554,58397553,51759632,41489239,41489238,41489285,51759701,51760136,41489681,32610221,24945791,18431293,13091905,13091904,18431148,13091795,13091794,18431146,24945583,24945914,18431370,13091952,8921604,5822123,3632097,2169415,2169414,3632091,5822117,8921529,13091849,18431214,24945680,32610088,32610548,41490058,41490060,41489933,32610439,32609815,24945461,24945460,32609809,41489192,51759586,51759469,41489098,32609740,32609741,41489101,51759473,63538226,76617979,90476514,76618214,76618215,257447308,57636828,46292393,36439250,27980098,20816153,14919535,14919536,20816157,256269041,257384357,70327355,72346002,77801365,77801366,81621944,68132216,55734358,55734361,68132218,65536433,53511896,43033530,43033528,43033260,43033261,39356212,30755501,26137505,19441467,13911791,11743562,7840680,7840681,11743566,16795504,23040400,26137483,26137482,26137510,26137511,26137452,26137453,33976348,43033325,53511719,55734326,44826693,44826694,47852753,38395017,254949998,25270369,268738775,64123346,77270704,70412283,254949920,46368622,36510327,36510328,46368623,52360478,49283255,41956529,41956530,52297544,60684277,59611853,255705348,53511225,53511224,51557083,51557084,61355124,61355123,65536220,61689550,61689549,59611919,48225534,48225533,48225598,38315968,38315967,48225596,59611974,58475370,49283261,49283260,60684342,64601619,52700846,42313688,42313691,48225441,42021588,42021583,42021580,256632490,22387422,22387421,29746894,38315617,48225301,42021593,256947847,22387558,16229034,16229033,22387557,29747069,38315823,48225475,256423184,41762556,48225279,257527919,48225437,259359552,48225350,38315674,256920640,48226492,48225353,41199799,32379772,24759882,24759883,31507899,24008298,17662083,12489656,12489657,17662090,24008306,31507907,40193637,46921762,46921763,58287578,51392444,256807584,28544996,28544997,256854377,46312409,46312411,255546488,21321104,15350232,10604172,10604173,11371563,254579860,29874208,24759822,18283518,18283520,24759826,32379691,35412926,35412927,40500923,31805721,24290984,24290983,28544725,21321147,21321148,28544728,37043997,38121353,36636772,36636771,46504047,48034673,46693126,36809759,28313081,21102682,21102681,28313079,36809753,46693118,40500912,255783582,46266297,46266298,256807290,29896850,255476873,7566812,254358257,2883250,254536189,11389474,16366119,22541324,29896893,38454120,256541690,72474808,85700781,74246934,74246932,77234207,77234208,85596279,257029954,47878060,37960148,256337561,28848783,255659417,13381666,13381667,18787795,15960542,11077243,11077242,15960540,22065232,15960548,15960547,22065237,29395613,37960067,37960184,37960185,47878090,47877874,43256652,34166325,33116637,33116638,29395351,29395354,33199631,42159491,47877992,47877991,59273263,47877821,37959906,37959904,47710408,43122967,34047406,26193117,19484018,19484019,26193123,29395365,29395364,22065360,268275769,12903403,8777514,8777513,12903402,18192379,24649498,256847111,28453849,28453848,36954406,46832635,52242247,52242246,60165524,60165525,64089750,62846041,51196595,41040634,41040635,51196599,59382829,47993123,38080565,29516067,29516068,38080569,39975000,31300432,23814184,23814183,31300427,39974992,39975169,31300539,31300537,256507896,42415503,33424808,33424799,33424800,42415493,52817125,64733041,64331273,52463489,52463490,64331276,77495744,77924061,64733014,52817100,42415475,33424786,25656787,19038310,19038311,25656788,33424789,42415479,52817105,64733021,268991772,52817059,42415444,257216247,64732954,64733040,256507912,77924070,64733020,52817104,52817105,64733021,257054800,91848357,91848358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118721, s2 = 11022814, dlinesl.size( ) = 26 s1 = 11119215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119215, s2 = 11036218, int(edited[s2]) = 0 s1 = 11119215, s2 = 11036218, d1 = 8, d2 = 13 Dl.O(d1) = 256918630 Dl.O(d2) = 36875224,28378374,28378375,36875225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119215, s2 = 11036218, dlinesl.size( ) = 8 s1 = 11119297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119297, s2 = 11482260, int(edited[s2]) = 0 s1 = 11119297, s2 = 11482260, d1 = 10, d2 = 6 Dl.O(d1) = 255952521,255508319,256452501,257577011 Dl.O(d2) = 262758985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119297, s2 = 11482260, dlinesl.size( ) = 8 s1 = 13399294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13399294, s2 = 11163686, int(edited[s2]) = 0 s1 = 13399294, s2 = 11163686, d1 = 23, d2 = 15 Dl.O(d1) = 259658168,103535118,89438898,258403874,51097636,40954984,32175626,32175627,40954989,39268046,30671881,30671882,37743228,47665110,59065166,50186266,48928803,39005098,256999349 Dl.O(d2) = 258403872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13399294, s2 = 11163686, dlinesl.size( ) = 2 s1 = 13399294, s2 = 11163686, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13399294, Dl.E( ) = 28, 1.38e-05 seconds used appending s1 = 11119533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119533, s2 = 12421037, int(edited[s2]) = 0 s1 = 11119533, s2 = 12421037, d1 = 0, d2 = 4 Dl.O(d1) = 255596030 Dl.O(d2) = 3483476,3483474,5609111,8626552,12697737,17921412,17921857,17911468,17911465,19645256,14080706,9685022,6370407,6370405,9685017,10863332,7182394,7182395,10863339,12698189,8626869,8626868,12698183,17921922,23454113,23454098,17176670,17176669,22306362,17920735,12697251,12697249,12697950,17921661,15199300,10483295,6911608,6911607,10483288,12698193,17921928,24305797,28298749,23139986,23139985,30557416,31822321,31822320,29636166,29407956,29407955,29408031,22077381,15971654,11086449,7352011,7352010,11086447,254877842,11105208,15996817,16141124,255461609,16141132,11213389,7440352,7440351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119533, s2 = 12421037, dlinesl.size( ) = 2 s1 = 11119533, s2 = 12421037, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11119533, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11119681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119681, s2 = 11359444, int(edited[s2]) = 0 s1 = 11119681, s2 = 11359444, d1 = 6, d2 = 9 Dl.O(d1) = 256190586,16802907,11749355,8718619,5675083,5675079,6537003,5675002 Dl.O(d2) = 32684803,37297387,38596463,36621523,28147671,20969317,15059423,10384862,10384861,15059419,20969311,28147661,36466601,28007781,24093685,24093686,31597332,38363846,38363845,48275210,48339814,38436184,29877340,29877339,38436180,36742563,36742562,41791947,32870910,25163429,18605573,13223521,13223520,18605565,25163420,32870898,28636836,21396797,21396794,28636828,33381060,25615290,24809612,24809613,32444269,33158063,42112517,261977261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119681, s2 = 11359444, dlinesl.size( ) = 10 s1 = 11119695, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10992211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11119997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119997, s2 = 10537761, int(edited[s2]) = 0 s1 = 11119997, s2 = 10537761, d1 = 10, d2 = 4 Dl.O(d1) = 44606385,35225549,27131633,27131632,35225547,44606383,44773334,39716669,39716670,49735276,41107662 Dl.O(d2) = 6011562,6011558,8777831,5832076,3639047,3639046,5832070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119997, s2 = 10537761, dlinesl.size( ) = 12 s1 = 11120037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120037, s2 = 11017378, int(edited[s2]) = 0 s1 = 11120037, s2 = 11017378, d1 = 27, d2 = 37 Dl.O(d1) = 255639754,31893126,24365080,24365079,31893124,25916701,19254730,13758828,13758827,19254726,25916694,33723341 Dl.O(d2) = 99947329,258058530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120037, s2 = 11017378, dlinesl.size( ) = 40 s1 = 11089888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11120269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120269, s2 = 12241408, int(edited[s2]) = 0 s1 = 11120269, s2 = 12241408, d1 = 43, d2 = 68 Dl.O(d1) = 39179354,39179355,37277499,37277500,38812789,40324853,46300683,36447537,27988593,20823978,259540445,74780884,88412171,260752089 Dl.O(d2) = 260790878,259578566,39433533,30829584,23401647,23401648,30829587,39433540,49362731,59807455,257129532,29949960,29949959,29949956,256418483,32145102,32145103,38514455,29949955,255480299,11419858,11419859,255480301,18123112,256578703,48421607,40922468,40922467,51063072,257129553,32145108,24562392,18123086,18123087,256578697,21976476,21976477,29303996,31095822,31095823,39774207,40206685,256029831,24019610,31520930,33777101,42809550,50227963,40206679,39217355,39217356,257083069,53262736,42809583,42809584,49945913,61423782,53262720,268659388,25967258,19301097,13800221,13800222,19301099,25967259,22816309,21976473,21976472,29303992,37873246,257014478,256187508,33777135,25967280,25967279,33777133,42809589,48974379,48974378,39052694,33777143,25967287,19301119,19301118,25967285,24543116,18108824,12840781,8732117,5684864,5684863,8732114,12840776,18108814,24543102,32121083,40895177,33490666,33490665,33777095,25967246,19301089,19301090,25967248,33777098,32121097,24543112,255210878,48929970,48929969,54633645,43890772,43890773,43890777,39052696,39052695,47679447,37757216,34619207,34619206,43890775,54633647,48974377,48974376,51032945,51032944,268238228,38101859,29538282,29538284,30419023,30419022,28883978,21608006,21608007,28883981,37426108,255137412,37768910,255510766,48932024,48932023,47338575,37430598,28888921,21613003,15583804,15583805,254807380,37430601,47338579,255522778,23013786,16774020,16774019,23013782,22096725,15988255,11099148,11099149,11324417,268227531,29819826,255127350,22096730,22096729,29427605,22096702,15988223,15988224,255450634,7520506,7520507,11324335,16283104,22452269,254371064,46517232,44484624,35107610,27021716,20130126,14437562,9931370,9931369,14437560,268141000,21185784,21187489,15225096,15225097,21187491,255906822,14897775,12903204,8777379,8777380,12903192,12903191,18192057,24649042,28394876,28401883,36899129,255809876,18888275,18888276,25492823,33243159,41625755,32719659,25033061,18500108,13143713,12665784,12665783,15405403,10648131,7030664,4422789,4422791,7030670,7847424,7847426,7847313,7847316,9926094,6523643,4087498,4087499,2761598,2761599,4590129,254756859,15862593,21953656,29277665,28397071,28397072,33996094,27133607,27133606,21608017,16283432,11324572,7520660,4754762,4754761,7520657,11324565,16283423,22452544,27133768,20227716,14515090,14515089,20227710,26442576,26442577,22674743,22674744,20227538,14514982,9987783,9987782,14514979,11324627,7520685,4754779,2865652,2865651,4754777,7520681,11324618,16283403,22452614,27133620,20227571,14515002,9987794,9987793,14514999,20227565,21515434,22670447,22670448,27133595,22467595,22467594,29834305,38101854,29538273,29047255,21753878,21753879,22728229,22728228,30109009,254590194,38619606,30683282,23266438,22452595,21753868,20227720,20227721,20227550,14514990,14514991,14515092,9987846,6564503,6564504,9987850,14515101,20227730,27133778,29679161,35227910,27133743,20227699,20227698,27133741,35227908,37766837,29205378,21892175,15814594,10959336,10959335,15814590,21892166,29205364,25285041,25285043,29728804,22372077,255465152,38295632,30108964,30108965,256008372,34615442,26625772,24033275,17682201,12504975,12504974,17682200,20293761,20293760,23300104,17039969,11953688,10727606,7087771,7087775,10312518,10312517,11132834,7384526,6603328,6603331,5587565,3466540,3466543,5587575,8599070,12663530,17879842,14925329,10263265,6744115,6744114,10263259,10575408,6975734,6744222,6744219,10263470,254323734,10352278,10352280,15024392,20932470,20835368,20835367,254487880,14606334,14962900,20865058,20865047,14962892,14962891,20865045,255362894,10870250,10647515,7030217,254484422,1534665,1534664,2653518,4422482,7030203,10647494,15404660,15404661,21388823,28626994,21388837,21388838,28627001,36609514,37879893,29311078,21983262,21983261,22688306,16488142,11487990,11487989,16488140,21925868,29245982,30066943,22688290,16488128,16488129,22688292,30066945,29311071,29311070,29538370,255367234,28205702,28205701,28205720,28445170,28445167,29538364,29538365,267973584,21925856,21925855,16066594,11156040,7399598,7399597,11156035,16066585,11487982,11487980,16066631,22195201,29538362,22195226,22195225,29538372,29538371,22195233,22195234,29538265,29538264,28205725,21013302,15092154,10408971,6861389,6861388,10408969,15092149,21013298,21925854,15839629,10976402,10976403,15839632,21925860,21013304,15092157,15092158,16066605,11156046,7399602,254525396,11156052,7399607,7399609,10408990,10976410,7265110,4581610,4581611,7265114,10976405,10408987,6861399,6861400,10408989,254099802,23031143,23031144,22195224,22195223,29538374,267789914,16066539,11155998,11155997,11156056,16066618,17894200,12675109,8607832,5593691,3470355,3470354,5593689,8607827,10976408,15839639,267973578,21013378,15092218,10409014,6861416,4306152,2574755,1482764,1482763,2574752,4306145,6861404,10408995,8607836,8607835,12675113,17894209,24274091,31787220,254235712,50517396,59400021,59194316,47794031,37869298,29299762,21972775,15878901,11007288,11007287,15878900,21972773,29299758,37869293,47794027,47794038,268400780,255440621,11007289,7286762,4595206,4595205,7286760,11007286,15878898,21972769,29299753,37869283,38471451,38471452,256073315,18178068,12891713,12891712,255454686,32229330,41020752,38257986,38257985,256707504,51412749,41216479,41216478,51412747,53881805,51412763,41216496,32393496,32393495,41216495,51412620,41216333,41216334,51412622,51412754,51412755,51412673,51412674,51412702,51412701,51412672,41216373,32393363,32393362,41216371,41216362,41216361,51412663,51412757,41216487,41216488,51412758,63109152,254669210,267814218,44621918,44621919,41216460,32393460,32393461,41216461,51412728,41216453,32393442,24770862,18291924,18291925,24770864,32393440,24770860,18291923,18291922,24770858,254958104,43356893,43356894,254958090,42912705,50540799,62032464,53881325,50540787,50540716,50540715,43356649,34256726,26379193,19645116,19645114,17912530,17912529,24294744,19645369,19645370,26379444,24294719,17912512,12690573,8621032,8621033,12690576,17912514,19366889,19366888,254115574,17912523,24294735,31809878,34256995,254211844,33868417,33868418,254209662,24189451,254150180,40389943,34257013,26379532,19645447,19645448,26379534,31809771,31809772,40505339,34256952,26379483,19645397,19645396,24294647,19645420,14080836,14080835,19645419,254307708,26046186,26046187,23450924,17174319,12075538,8120151,8120152,12075539,17174323,23450931,30882284,33868366,33868367,28140251,20962173,19645416,19645417,26379500,34256981,41216319,41216318,36613860,36613861,42914116,33868359,26046160,19366849,267814210,26046118,26046117,24565406,18125576,18125577,24565408,32148603,40925991,43357252,34257350,28339810,21127731,15179302,10469740,267816184,21127732,28339812,36836614,34257574,26380011,19645850,19645849,26380008,34257353,31936037,24398158,24398159,31936041,38796463,38796462,48717644,268034262,38796452,48717621,41216390,254925322,21515607,21515606,28778409,24398156,24398155,28234789,36613883,43357451,254947376,48717676,38796502,38796501,34257347,34257349,38796366,30212103,30212102,37429502,28887533,28887534,255669808,18939708,24398163,17995359,12754571,8668816,5640068,5640069,8668819,12754577,17995367,24398178,28812806,28812805,32046723,24481380,24481381,26379743,19645596,19645597,17995388,17995387,22820172,30212117,34257309,34257308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120269, s2 = 12241408, dlinesl.size( ) = 64 s1 = 11120485, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11120547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11120887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120887, s2 = 11001768, int(edited[s2]) = 0 s1 = 11120887, s2 = 11001768, d1 = 17, d2 = 19 Dl.O(d1) = 258034429 Dl.O(d2) = 21218588,15249748,15249747,254952314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120887, s2 = 11001768, dlinesl.size( ) = 20 s1 = 14191498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191498, s2 = 9485795, int(edited[s2]) = 0 s1 = 14191498, s2 = 9485795, d1 = 14, d2 = 31 Dl.O(d1) = 255203725,3470338,3470339 Dl.O(d2) = 12276400,256007211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191498, s2 = 9485795, dlinesl.size( ) = 6 s1 = 11121053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15444033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2266679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11121331, s2 = 14087302, int(edited[s2]) = 0 s1 = 11121331, s2 = 14087302, d1 = 51, d2 = 15 Dl.O(d1) = 60729299,257160112,39399023,30796016,23369745,17101203,12015552 Dl.O(d2) = 259446745,114889508,100839149,259767314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11121331, s2 = 14087302, dlinesl.size( ) = 40 s1 = 11121515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11121515, s2 = 11033004, int(edited[s2]) = 0 s1 = 11121515, s2 = 11033004, d1 = 11, d2 = 0 Dl.O(d1) = 255324762,12037628,12037627,17128716,14360870,14360871,20046553,23306740,17045535,17045534,18818933,25409809,21778417,21778416,29076329,37008860,30021537 Dl.O(d2) = 254722854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11121515, s2 = 11033004, dlinesl.size( ) = 2 s1 = 11121515, s2 = 11033004, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11121515, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 14911186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8029173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14538333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11122473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11122623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122623, s2 = 14060742, int(edited[s2]) = 0 s1 = 11122623, s2 = 14060742, d1 = 51, d2 = 63 Dl.O(d1) = 258866895,101689105,273157407,269614963,34658360,26666448 Dl.O(d2) = 256726833,257888859,36803060,28306320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122623, s2 = 14060742, dlinesl.size( ) = 58 s1 = 11122777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122777, s2 = 15100803, int(edited[s2]) = 0 s1 = 11122777, s2 = 15100803, d1 = 12, d2 = 14 Dl.O(d1) = 256003665,17367627,17367630,23689825,25320697,31179721,31179768,23690967,17368368,17368367,23690964,31180708,34985329 Dl.O(d2) = 256548317,29711747,256402919,268487769,41992003,46645031,46645030,257081494,39863188,31180733,24590015,18144739,12866605,8750155,8750152,12866593,18144719,12866617,12866509,8750107,8750106,12866505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122777, s2 = 15100803, dlinesl.size( ) = 20 s1 = 14191618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191618, s2 = 11284384, int(edited[s2]) = 0 s1 = 14191618, s2 = 11284384, d1 = 21, d2 = 2 Dl.O(d1) = 62242817,62242818,75070192,86403278,86403279,100359584,91497897,77566766,77566765,81273981,85935699,72341967,66870925,54613102,43870633,34600406 Dl.O(d2) = 70343681,57653124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191618, s2 = 11284384, dlinesl.size( ) = 20 s1 = 11122897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122897, s2 = 11080438, int(edited[s2]) = 0 s1 = 11122897, s2 = 11080438, d1 = 5, d2 = 7 Dl.O(d1) = 39882411 Dl.O(d2) = 39882413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122897, s2 = 11080438, dlinesl.size( ) = 8 s1 = 11122909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122909, s2 = 11053164, int(edited[s2]) = 0 s1 = 11122909, s2 = 11053164, d1 = 15, d2 = 21 Dl.O(d1) = 257639677 Dl.O(d2) = 87770022,260110663,101742928,260507986,57822771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122909, s2 = 11053164, dlinesl.size( ) = 22 s1 = 11123157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123157, s2 = 10725154, int(edited[s2]) = 0 s1 = 11123157, s2 = 10725154, d1 = 0, d2 = 0 Dl.O(d1) = 21995003,15896489,11019844,7295472,7295473,11019856,15896511,21995040,268108986,47814403,47814404,59212493,47814069,37892373,37892374,37892434,37892433,47814165,59212593,60515422,49112682,39183246,39183245,49112677,52326435,42675010,33645765,25842507,25842506,33645761,42675008,42706225,42706226,42460490,33467339,30585432,23167412,16904404,16904406,23167423,27131630,35225542,36895233,36895232,46773475,58141371,65575274,59212438,47814014,47814013,37892469,37892468,29644818,29644815,38211480,48121795,49212454,39928915,31253790,31253789,39928917,49212447,39285926,30688674,30688677,39285937,49212465,60612473,60612474,73357301,85539373,72074527,72074528,59652462,48265557,47874185,37955830,37955834,42725592,42725591,53175146,64783466,64783465,77514708,64783282,53550466,43071587,34013768,26171957,19471007,13935584,13935585,19471013,26171971,34013797,40891829,40891828,47910403,49174377,39249205,30653315,30653316,26171935,26171934,34013725,43071530,39844799,31162107,31162109,256905428,37764779,47686662,39285741,39285740,255966054,39286104,30688779,30688778,39286100,267970046,59789930,50578158,40542127,31844118,31844119,40542129,50578162,49130438,49130439,49212167,49212169,52043571,43071607,34013780,34013781,33467598,33467599,268394860,60612713,60612714,73357415,73357414,60612697,59179432,49212120,39285651,30688455,30688454,39285649,31253804,23769579,23769580,31253811,39928953,40906064,40906063,51046580 Dl.O(d2) = 21995003,15896489,11019844,7295472,7295473,11019856,15896511,21995040,268108986,47814403,47814404,59212493,47814069,37892373,37892374,37892434,37892433,47814165,59212593,60515422,49112682,39183246,39183245,49112677,52326435,42675010,33645765,25842507,25842506,33645761,42675008,42706225,42706226,42460490,33467339,30585432,23167412,16904404,16904406,23167423,27131630,35225542,36895233,36895232,46773475,58141371,65575274,59212438,47814014,47814013,37892469,37892468,29644818,29644815,38211480,48121795,49212454,39928915,31253790,31253789,39928917,49212447,39285926,30688674,30688677,39285937,49212465,60612473,60612474,73357301,85539373,72074527,72074528,59652462,48265557,47874185,37955830,37955834,42725592,42725591,53175146,64783466,64783465,77514708,64783282,53550466,43071587,34013768,26171957,19471007,13935584,13935585,19471013,26171971,34013797,40891829,40891828,47910403,49174377,39249205,30653315,30653316,26171935,26171934,34013725,43071530,39844799,31162107,31162109,256905428,37764779,47686662,39285741,39285740,255966054,39286104,30688779,30688778,39286100,267970046,59789930,50578158,40542127,31844118,31844119,40542129,50578162,49130438,49130439,49212167,49212169,52043571,43071607,34013780,34013781,33467598,33467599,268394860,60612713,60612714,73357415,73357414,60612697,59179432,49212120,39285651,30688455,30688454,39285649,31253804,23769579,23769580,31253811,39928953,40906064,40906063,51046580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123157, s2 = 10725154, dlinesl.size( ) = 2 s1 = 11123157, s2 = 10725154, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11123157, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10725155, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11123185, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14116629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15973597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16219609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123307, s2 = 11416248, int(edited[s2]) = 0 s1 = 11123307, s2 = 11416248, d1 = 26, d2 = 24 Dl.O(d1) = 259500655,115847937 Dl.O(d2) = 262159524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123307, s2 = 11416248, dlinesl.size( ) = 30 s1 = 13405438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13405438, s2 = 1755212, int(edited[s2]) = 0 s1 = 13405438, s2 = 1755212, d1 = 201, d2 = 12 Dl.O(d1) = 19537075,21074145,21074144,28278348,28498136,23798521,21031601,21031600,28228290,36721951,46609783,53719637,256306860,31510214,31510215,36721330,36721331,28814101,28814102,28228549,28228550,36722257,29769341,22406099,21031900,15106251,15106250,21031893,21031650,21031651,28228376,28228575,36722281,36722411,46610108,57986098,46609490,40196118,31510223,31510219,36721021,32819069,32819070,36721391,36721390,36721334,36721333,46609344,46609345,268222660,28390863,21171701,21171702,28390864,28228304,21031629,15106093,15106094,255803283,28390855,28227745,28227746,256830257,28228248,28228249,22560266,16381356,255478381,29919039,38478359,37019893,37019894,42900564,256313432,28522145,21300856,21300857,21300861,28522155,23992046,21983914,15888114,11013837,11013835,15888102,21983903,29311736,37880602,47804300,256590668,30746948,23325596,17059781,11968034,11968033,17059778,23325592,30746944,37544343,37544342,39712500,39712501,49731140,39712484,31035185,23553494,23553495,31035187,39712488,49731144,61209726,71145642,58423946,58423945,49731167,39712505,39712504,39876607,39876605,49898079,61378482,74158961,61378480,49898078,255525032,39712493,49272626,39346499,39346498,37296156,28762700,21502916,21502914,23332376,17065767,17065766,23332374,17244850,12127146,12127145,17244848,23553497,31035189,39712491,255971368,49731150,60579437,255971370,30657501,23236204,23236203,30657499,256223732,60579434,73323161,60579441,51754245,51754244,61209733,61209732,73490986,61209743,49731164,49731163 Dl.O(d2) = 70476943,57777127,46422817,46422818,47183451,37277340,28744782,21486615,255038427,7073190,10706287,15482250,21486618,28744789,37277347,30207249,22850487,16625838,16596836,12131403,12131404,17250508,23560724,255205946,11597088,11597089,11597470,7720101,4886347,4886346,7720096,7720055,7720056,11597419,12568685,8523088,5521555,5521556,8523092,11591610,16617984,22714195,16625844,11597017,11597016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13405438, s2 = 1755212, dlinesl.size( ) = 62 s1 = 11123855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123929, s2 = 15097215, int(edited[s2]) = 0 s1 = 11123929, s2 = 15097215, d1 = 25, d2 = 2 Dl.O(d1) = 40074297,31392764,23898510,17553252,13533830,9263758,9263759,6584087,6584088,10017342,14557686,15305535,17560259,12389484,9242280,8108412,5194914,5194915,8108425,12059573,17156168,17557600,12678516,12678517,255595015,23914529,23429100,17152008,17152009,12248766,8272547,8272549,12248770,17149176,17149177,21495191,17550678,12380330,12380329,11543241,7679686,4859347,2928406,1698669,965855,965854,1698665,2928401,4859338,7679657,8366809,8375872,5405565,5385174,3311497,3311499,5385185,8281025,8997015,13197991,12256642,8277608,8277610,12256646,17392605,23705655,23901116,31190914,268379844,13521077,9252840,6059954,6059958,3791701,2273109,2273107,3794890,5412220,8387172,9256185,9256188,11936004,16896825,20970556,20970559,21259691,28136849,23914539,17571874,17571873,15059177,15059179,270277163 Dl.O(d2) = 50047307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123929, s2 = 15097215, dlinesl.size( ) = 26 s1 = 11123945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123945, s2 = 14296494, int(edited[s2]) = 0 s1 = 11123945, s2 = 14296494, d1 = 14, d2 = 13 Dl.O(d1) = 40075501,256134896,12385193,8369434,5401501,3321027,1953449,1953448,3320592,1953440,1116020,626315,347995,190814,104188,104187,57310,57311,104244,190951,348287,626857,1117139,1955634,3325055,5408676,8381117,10548374,10548373,15282657,255390764,13524235,17573241,16898309,11825735,7903138,5023778,3040847,3040848,5023780,7903143,11825747,8610733,8610732,12678562,12405416,8384132,5410417,5410419,8384135,7269712,6048084,6048082,255266167,12391449,12391450,11824332,7902095,5023054,3040422,3040423,5023058,7902110,7902728,7902727,9267355,6070137,6070136,9267350,13537913,12391445,12391446,17562459,23906264,31398962,31391698,23897103,17551566,12381170,12257179,8277909,8277907,255166947,23701289,23701288,17580171,12408167,8386098,5411526,5411523,7269601,4584437,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,5341974,5341973,5343570,5343571,8282605,12264815,17403570,12382572,12382571,10557008,6962829,6962828,10557006,15292105,17545425,23891971,31388338,39878514,31197225,31197224 Dl.O(d2) = 101738090,258661350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123945, s2 = 14296494, dlinesl.size( ) = 2 s1 = 11123945, s2 = 14296494, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11123945, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 11124137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124137, s2 = 11054700, int(edited[s2]) = 0 s1 = 11124137, s2 = 11054700, d1 = 7, d2 = 7 Dl.O(d1) = 256022421,8390411,12414004,17587153,256022425,23929420,31419565,40099567,46679146,267999228,31417902,23927888,23927889,254596940,32132872,31405153,23913770,23913769,27187040,20263353,14538443,10002810,6573422,4117583,2462783,2462784,4117585,6573426,254984223,20263381 Dl.O(d2) = 256022421,8390411,12414004,17587153,256022425,23929420,31419565,40099567,46679146,267999228,31417902,23927888,23927889,254596940,32132872,31405153,23913770,23913769,27187040,20263353,14538443,10002810,6573422,4117583,2462783,2462784,4117585,6573426,254984223,20263381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124137, s2 = 11054700, dlinesl.size( ) = 2 s1 = 11124137, s2 = 11054700, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11124137, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11845144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11845144, s2 = 7159234, int(edited[s2]) = 0 s1 = 11845144, s2 = 7159234, d1 = 51, d2 = 29 Dl.O(d1) = 88066083,74453912,61670591,257079585,256026581 Dl.O(d2) = 263373461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11845144, s2 = 7159234, dlinesl.size( ) = 8 s1 = 11124427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11124463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124463, s2 = 11450486, int(edited[s2]) = 0 s1 = 11124463, s2 = 11450486, d1 = 27, d2 = 29 Dl.O(d1) = 40172066,31487018,23989959,23989961,31487020,40172071,259303007,261653497 Dl.O(d2) = 200305554,206362786,264727621 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124615, s2 = 11020916, int(edited[s2]) = 0 s1 = 11124615, s2 = 11020916, d1 = 14, d2 = 4 Dl.O(d1) = 40209100,31523382 Dl.O(d2) = 17672271,24021761,31523378,40209092,50229924,61710076,51033800,51033799,62660368,64551869,75603308,64349840,62660390,51033837,51033759,40896040,32121819,24543712,24543711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124615, s2 = 11020916, dlinesl.size( ) = 8 s1 = 6566310, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14191765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11125563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11125563, s2 = 14110230, int(edited[s2]) = 0 s1 = 11125563, s2 = 14110230, d1 = 0, d2 = 64 Dl.O(d1) = 50448744,61940080,61940083,50448745,40414419,40414420,50448747 Dl.O(d2) = 131313490,117517642,260785601,139589678,126215534,112355899,112355898,126215514,112355886,98373734,84464530,70908247,70908248,84464532,98373738,112355894,126215530,139589700,152318267,152318268,149399139,136150155,122188639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11125563, s2 = 14110230, dlinesl.size( ) = 14 s1 = 10934986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11125651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11125651, s2 = 11457594, int(edited[s2]) = 0 s1 = 11125651, s2 = 11457594, d1 = 11, d2 = 18 Dl.O(d1) = 258292167 Dl.O(d2) = 262369163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11125651, s2 = 11457594, dlinesl.size( ) = 18 s1 = 11125753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11125753, s2 = 11038802, int(edited[s2]) = 0 s1 = 11125753, s2 = 11038802, d1 = 9, d2 = 0 Dl.O(d1) = 50500723 Dl.O(d2) = 18693375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11125753, s2 = 11038802, dlinesl.size( ) = 14 s1 = 11125909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11125909, s2 = 11134106, int(edited[s2]) = 0 s1 = 11125909, s2 = 11134106, d1 = 12, d2 = 11 Dl.O(d1) = 268036320,5596616 Dl.O(d2) = 257439749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11125909, s2 = 11134106, dlinesl.size( ) = 20 s1 = 11125945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11125945, s2 = 15055583, int(edited[s2]) = 0 s1 = 11125945, s2 = 15055583, d1 = 47, d2 = 51 Dl.O(d1) = 48794076,38871602,30285727,268235937,7744782,7741570,7690119,4866390,2932387,2932388,4866393,4816970,4816971,7329597,7613587,11054064,11054063,15930908,15930964,15930965,267980897,7684064,268090081,11563306,11563305,13379317,254647769,3741990,3741989,254647767,2891617,1678316,954854,954855,1678323,2891638,255920171 Dl.O(d2) = 231512599,266009114,228510895,226701462,265407744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11125945, s2 = 15055583, dlinesl.size( ) = 20 s1 = 14191821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191821, s2 = 14087602, int(edited[s2]) = 0 s1 = 14191821, s2 = 14087602, d1 = 79, d2 = 54 Dl.O(d1) = 9281992,6738588,6738587,10255035,14914101,20809642,20809670,14914114,10255048,6738602,6738601,10255046,10255071,6738625,6738626,6738607,4222433,4222435,4222437,4222438,6738611,6738628,10255073,14914096,254703633,4222415,4222416,4222427,2524758,2524759,4222430,6738599,6742411,6738604,4222457,4222458,4222445,2524766,2524765,4222440,4222456,6738582,4222419,4222418,4222459,6738633 Dl.O(d2) = 22021309,15920121,13013921,8860624,8860626,10936076,10936073,11319590,7516179,7516180,7519993,11323661,16282369,22451557,268339998,48301930,59688574,257918150,99981510,114006363,114006368,99981513,99981514,260407684,114006367,99981513,86020952,86020951,99981511,260407688,260407686,261561814,165693407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191821, s2 = 14087602, dlinesl.size( ) = 2 s1 = 14191821, s2 = 14087602, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14191821, Dl.E( ) = 92, 2.38e-05 seconds used appending s1 = 11126271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11126491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126491, s2 = 14141934, int(edited[s2]) = 0 s1 = 11126491, s2 = 14141934, d1 = 5, d2 = 42 Dl.O(d1) = 50826538 Dl.O(d2) = 195670660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126517, s2 = 14020724, int(edited[s2]) = 0 s1 = 11126517, s2 = 14020724, d1 = 11, d2 = 15 Dl.O(d1) = 256058493 Dl.O(d2) = 256567367,31986170,255604345,12770328,254622159,3511342,254195811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126517, s2 = 14020724, dlinesl.size( ) = 14 s1 = 13409080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11126649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126649, s2 = 14047446, int(edited[s2]) = 0 s1 = 11126649, s2 = 14047446, d1 = 76, d2 = 52 Dl.O(d1) = 40790966 Dl.O(d2) = 8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777844,8917541,6011442,6011439,8777889,5891369,3679195,2202559,1279554,1279553,254295623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126649, s2 = 14047446, dlinesl.size( ) = 90 s1 = 14540536, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14540536, s2 = 13242230, int(edited[s2]) = 0 s1 = 14540536, s2 = 13242230, d1 = 43, d2 = 73 Dl.O(d1) = 11121732,11121735,16018054,255745712,23771060,23771079,23771077,21276040,21276037,17429339,12284788,8296381,5352118,3289355,1934374,1934378,3289373,5352158,6803250,5668133,254623885,12804914,18061141,24483691,256571657,50928875,258317915,50928873,40809252,40809251 Dl.O(d2) = 10739364,11849379,11849380,255522885,17921781,12698031,255205981,24305675,27980857,30840448,23410796,17135747,12042437,8095787,8095786,12042435,12042431,8095783,5186569,5186570,8095785,12042433,17135731,17135732,23410782,255085464,21544903,21544902,18450508,13106683,8932751,8932750,13106682,18450507,22301048,22301049,22302009,22301931,16156356,16156355,16154499,11223403,11223402,254237082,29651842,29651847,254528826,48128196,268403076,38219625,29653575,22301928,16156444,11224948,11224950,16156445,22299972,16154507,16154506,11224867,254237090,22301935,29653580,22302005,16156433,11224934,7447990,254100062,2834364,2834365,2834816,4705718,2834784,254166203,935102,1644550,2834782,4705716,7447916,11224852,16156345,22301924,22301926,22301925,29587132,256397914,267974883,7446885,7446884,11223442,255462775,29651896,38218141,38218201,29651945,22300075,16154594,11223481,7446920,4705110,2834398,1644309,934967,526904,526905,934970,1644313,2834402,4705115,7446916,4705105,2834395,2834396,4705107,7446919,4705108,2834403,2834404,254528723,11223467,11223466,16154564,22300050,29651922,38218178,256940036,59515682,59515681,72249894,259377648,85841553,72249901,59515689,269340022,29651950,22300080,22300081,29651952,38218211,48128295,59515691,72249905,85841586,85841563,72249876,258129630,72249896,85380363,99324597,99794258,99794257,99794269,259291708,71791545,59516337,59516336,59516342,48128959,269340037,59587238,59587237,61293128,258865055,85914854,72321668,59587253,48200778,48200777,47649135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14540536, s2 = 13242230, dlinesl.size( ) = 2 s1 = 14540536, s2 = 13242230, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14540536, Dl.E( ) = 76, 4.58e-05 seconds used appending s1 = 11126715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126715, s2 = 11270220, int(edited[s2]) = 0 s1 = 11126715, s2 = 11270220, d1 = 11, d2 = 4 Dl.O(d1) = 40814711,32054427,32054426 Dl.O(d2) = 62537402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126715, s2 = 11270220, dlinesl.size( ) = 12 s1 = 11126737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11126769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126769, s2 = 10152557, int(edited[s2]) = 0 s1 = 11126769, s2 = 10152557, d1 = 48, d2 = 28 Dl.O(d1) = 256063661,254886149,8712338,12814042,18074807,18470542,13122231,13122232,13124434,13124145,8945086,5839075,3644068,3644070,5839083,8945111,12050228,8718485,5675019,5675023,8718437,6537217,4095768,3645018,2178855,2178858,3645032,5841004,8948651,7756265,7085592,4461093,2680034,2680033,4461091,7085587,10724584,15507268,18480309,15448720,10681135,7055672,7055671,254722633,2605132,2605133,254493269,10500643,15222833,15222818,10500633,10500632,15222812,21184513,22880601,16652250,16652251,22880604,257583922 Dl.O(d2) = 156333785,261873649,143811259,130486792,130486791,116647969,116647968,116647952,271342485,86100504,269816243,259140194,16382716,19186808,19186809,20336276,14594934,14594932,14180675,9748623,9748625,14180684,19797312,24089138,24089136,18739926,13340648,13340647,18739924,25317775,33045718,26611822,26152538,19453683,255447552,11578051,16600887,20242778,14525432,12449434,8417783,8417784,12449441,17628588,20242572,14525309,14525308,20242566,27153728,23352415,18444556,13102262,13102261,14905167,13102225,13102223,13102240,8929469,8929468,9739304,14166543,13102341,13102340,18444678,254961828,23287231,24963018,21937594,15849700,14525599,14525598,20242999,27154268,35253154,42288610,52674860,64574992,259362639,59313549,47920126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126769, s2 = 10152557, dlinesl.size( ) = 28 s1 = 11846142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1012347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1012347, s2 = 16044561, int(edited[s2]) = 0 s1 = 1012347, s2 = 16044561, d1 = 1, d2 = 1 Dl.O(d1) = 33333165,25573537,25573538,33333167,42313515,42313516,52700685,52700686,52700687,64601427,59165832,47767057,37844399,268597476,269292596,41626077,256054716,18500301,18500300,25033314,268732035,51928861,63738180,76841714,90712097,258636568,259882244,153938627,261334960,259552760,72438271,72438270,86036506,99998937,89795093,76018381,63035550,51354782,41169497,32354524,24738659,18265782,18265783,18263681,12960099,8819894,5746373,5746374,3774881,3774882,3577871,3575894,3575892,5742733,5746371,5746370,8819892,12960094,18263677,24736762,32352708,41167752,51353014,63033673,76016611,89793595,103894985,118037374,131862707,261916505,169014228,157553188,145120161,131862669,131862668,145120160,145120191,131862694,118037365,103894981,89793591,89793589,103894979,118037363,131862691,145120184,157553217,169014257,169014217,169014219,179299108,169014231,262882797,169014223,157553181,157553180,261377797,131862692,131862691,273258606,179299125,179299133,263301871,179299130,188348512,188348501,179299107,179299108,169014251,157553220,157553184,157553183,157553230,145120190,131862694,118037365,103894981,89793591,258343795,63033673,76016611,89793595,103894985,118037374,131862707,261916505,169014228,157553188,145120161,131862669,118037352,103894969,89793584,76016607,63033671,63033672,76016609,89793586,260211505,261377795,145120204,157553222,169014260,169014262,157553226,145120187,145120186,261916503,169014275,179299127,179299125,262418303,261377799,118037367,103894982,103894983,260808237,145120195,157553238,169014234,169014223,157553181,157553180,261377797,118037366,103894982,103894983,118037368,131862697,145120198,145120177,260808233,118037360,261377793,157553215,169014253,263301869,196230373,202973280,208624089,213268101,217067775,220224070,218753089,215362306 Dl.O(d2) = 33333165,25573537,25573538,33333167,42313515,42313516,52700685,52700686,52700687,64601427,59165832,47767057,37844399,268597476,269292596,41626077,256054716,18500301,18500300,25033314,268732035,51928861,63738180,76841714,90712097,258636568,259882244,153938627,261334960,259552760,72438271,72438270,86036506,99998937,89795093,76018381,63035550,51354782,41169497,32354524,24738659,18265782,18265783,18263681,12960099,8819894,5746373,5746374,3774881,3774882,3577871,3575894,3575892,5742733,5746371,5746370,8819892,12960094,18263677,24736762,32352708,41167752,51353014,63033673,76016611,89793595,103894985,118037374,131862707,261916505,169014228,157553188,145120161,131862669,131862668,145120160,145120191,131862694,118037365,103894981,89793591,89793589,103894979,118037363,131862691,145120184,157553217,169014257,169014217,169014219,179299108,169014231,262882797,169014223,157553181,157553180,261377797,131862692,131862691,273258606,179299125,179299133,263301871,179299130,188348512,188348501,179299107,179299108,169014251,157553220,157553184,157553183,157553230,145120190,131862694,118037365,103894981,89793591,258343795,63033673,76016611,89793595,103894985,118037374,131862707,261916505,169014228,157553188,145120161,131862669,118037352,103894969,89793584,76016607,63033671,63033672,76016609,89793586,260211505,261377795,145120204,157553222,169014260,169014262,157553226,145120187,145120186,261916503,169014275,179299127,179299125,262418303,261377799,118037367,103894982,103894983,260808237,145120195,157553238,169014234,169014223,157553181,157553180,261377797,118037366,103894982,103894983,118037368,131862697,145120198,145120177,260808233,118037360,261377793,157553215,169014253,263301869,196230373,202973280,208624089,213268101,217067775,220224070,218753089,215362306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1012347, s2 = 16044561, dlinesl.size( ) = 2 s1 = 1012347, s2 = 16044561, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 1012347, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11127117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127117, s2 = 11004934, int(edited[s2]) = 0 s1 = 11127117, s2 = 11004934, d1 = 2, d2 = 0 Dl.O(d1) = 254510360 Dl.O(d2) = 254340796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127117, s2 = 11004934, dlinesl.size( ) = 2 s1 = 11127117, s2 = 11004934, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11127117, Dl.E( ) = 8, 1.29e-05 seconds used appending s1 = 11127147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1547480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11127513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127513, s2 = 10456780, int(edited[s2]) = 0 s1 = 11127513, s2 = 10456780, d1 = 1, d2 = 13 Dl.O(d1) = 41105918 Dl.O(d2) = 131801790,260207300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127513, s2 = 10456780, dlinesl.size( ) = 11 s1 = 11128025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10353229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11128319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11128319, s2 = 14166016, int(edited[s2]) = 1 s1 = 13411446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11128489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11128489, s2 = 14095806, int(edited[s2]) = 0 s1 = 11128489, s2 = 14095806, d1 = 7, d2 = 0 Dl.O(d1) = 63525542,76604965,76604963,63525540,51747529,41478498,41478497,51747528,63525539,63525537,257501101,47869447,59265000,72001095,85587702,99534491,104627395,258987783,76604966,63525550,51747535 Dl.O(d2) = 32600932,24938439,18425865,13088054,8918887,8918886,13088053,9923860,9923861,8918855,8918856,255235971,18425786,24938329,26619251,19809714,19809715,23090642,255519386,11773585,11773586,16836262,23090635,30505099,23120065,23120066,30538949,39138078,41042508,32249759,32249760,32249730,24651117,24651118,24651023,24651022,32249605,32249726,41042469,32249706,32249707,32249609,32249610,41042370,51198279,61773596,50293727,40272347,40272346,50293726,41042511,32249766,32249767,41042384,32249619,32249618,268658188,41042611,37929974,29363175,29363174,24208392,24208393,18193804,18193803,24651189,18193812,12904482,8778234,8778235,12904483,18193815,24651202,23098434,16842504,16842505,18193718,24651076,32249672,41042441,51198341,62847585,51198456,41042588,32249846,268711023,256074573,18193682,12904400,8778179,8778178,12904396,12904417,18193714,24651070,32249666,32249662,32249663,41042433,32450789,24815190,18325337,18325336,24815187,32450785,257151481,63216242,76228319,90033818,104160550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11128489, s2 = 14095806, dlinesl.size( ) = 2 s1 = 11128489, s2 = 14095806, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11128489, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16199922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16199922, s2 = 14206476, int(edited[s2]) = 0 s1 = 16199922, s2 = 14206476, d1 = 14, d2 = 21 Dl.O(d1) = 238148271,237421663,236621652,235743801,234778838,233719711,266142546,229828504,228210416,226367759,265427840,218966284,215595387,211517073,264279244 Dl.O(d2) = 23384991,23384990,256484099,40930204,51070556,62699542,75643596,89404790,103498917,116179486,102122022,88134390,74522332,61740524,50262095,256876614,24052401,17698521,17698520,18946823,256136393,33321619,42302351,52689128,64589688,76671683,63585021,51799094,41521198,32635199,32635200,41521201,51799098,63585024,76671684,76671688,76671687,76671686,90535305,259618429,259618427,118887844,118887840,104703236,90535303,90535302,104703235,118887837,126743199,112891301,112464567,98474502,84552721,84552720,98474490,84552726,84552725,98474508,98474506,84552724,84552715,70989820,70989821,84552717,98474498,271767247,126330843,261644125,152430979,164305026,175105387,184689057,264174207,210666755,205508448,199272884,191902847,183335265,261480652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16199922, s2 = 14206476, dlinesl.size( ) = 2 s1 = 16199922, s2 = 14206476, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16199922, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 14206475, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11128655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11128655, s2 = 11280760, int(edited[s2]) = 0 s1 = 11128655, s2 = 11280760, d1 = 10, d2 = 9 Dl.O(d1) = 41542388,32653439,24980877,18459623,13113805,8937609,5833615,3640161,2175431,1260306,1260307,2175433,3640163,5833619,8937618,13113816,18459634,24980896,256609939,51823149,258365781 Dl.O(d2) = 261939339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11128655, s2 = 11280760, dlinesl.size( ) = 12 s1 = 13411958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13411958, s2 = 355685, int(edited[s2]) = 0 s1 = 13411958, s2 = 355685, d1 = 4, d2 = 7 Dl.O(d1) = 256091273,24995091,18470928,18470929,24995095,32671373,32671374,40993248,40593870,31885988,256562329,50642433,41597750,41597751,44354633,34977049 Dl.O(d2) = 13125812,8946453,8946456,13125812,8946453,8946450,13126394,13126392,18070182,12810694,8710206,8710207,12810699,18070197,24497121,32068534,40837108,42002817,42002816,40215309,31529351,24027139,17676586,12500287,8467606,8467607,8968244,8968240,13157548,18518500,19085088,13625912,9330388,6111718,3824040,2291022,1329213,758901,758902,1329219,2291036,3824063,6111753,9330456,13626018,9330439,9330438,13626012,19085079,19085078,25712710,19084980,19084981,25712826,33487644,33487842,25713007,25713008,33487847,33157246,25416378,19085117,13625932,13625931,19084829,25712589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13411958, s2 = 355685, dlinesl.size( ) = 2 s1 = 13411958, s2 = 355685, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13411958, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11128761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11128761, s2 = 11135034, int(edited[s2]) = 0 s1 = 11128761, s2 = 11135034, d1 = 24, d2 = 8 Dl.O(d1) = 255121126 Dl.O(d2) = 18507146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11128761, s2 = 11135034, dlinesl.size( ) = 26 s1 = 11128803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11128803, s2 = 11227164, int(edited[s2]) = 0 s1 = 11128803, s2 = 11227164, d1 = 4, d2 = 13 Dl.O(d1) = 41626881 Dl.O(d2) = 18501063,13144348,8958655,5847510,254637375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11128803, s2 = 11227164, dlinesl.size( ) = 14 s1 = 11129013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11129209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129209, s2 = 8004811, int(edited[s2]) = 0 s1 = 11129209, s2 = 8004811, d1 = 12, d2 = 10 Dl.O(d1) = 41749902,32829195,256487254,8997023,254907633,18572590,25124709,19279724,19279723,24951681,24951682,32617613,29221847,25295798,18721450,13327047,9105973,9105974,7259004,4578000,2754304,2754303,3726215,3726216,5958300,9105930,9176416,6005995,5372533,3303366,3303368,3754239,2250153,1305534,745085,745086,1305535,1943713,1943712,3303918,2413042,2413039,3303568,3303566,5372705,8325074,8979481,6595250,6595249,5548682,3434317,2031443,2031444,1942404,1942405,3302425,3303446,5372607,8324998,8324963,8324964,6027649,267811661,2259451,267861229,6508570,4078642,2440394,1410955,802611,802609,802955,1272644,727455,727456,421291,421293,454758,454756,802649,1411001,2242190,1300236,1300237,2242192,2195125,2195124,3667174,2412844,2412843,2411933,2411934,2195241,2195239,2194339,1274589,1274590,1274264,1274265,2193908,2193253,1310428,1310427,2257791,3741367,2412008,1396056,794179,449905,253299,233228,128538,128539,233237,413153,414347,414346,252967,252968,449511,729484,1271574,726584,449949,414591,234190,129204,129203,234187,414587,421607,448599,252395,139318,76004,76003,139313,252386,448585,792166,726679,726678,792128,448545,253169,139862,139863,253171,449761,794025,728443,728444,1273984,1274491,794360,794248,728390,414566,414567,728394,1273936,728447,414622,414623,254145497,451316,254291,140712,77024,41928,41929,24282,24283,43685,79745,144969,261562,254084045,143381,239354,132327,132326,239356,256648,255129,255127,239431,239430,420849,261461,144896,79707,79708,144902,261470,453147,261580,144982,144984,236813,130636,70800,70801,130640,236822,236791,236790,419607,453362,423942,423943,745825,464351,460228,460227,812188,746211,424066,424065,424209,239495,237829,143166,143165,253701,253700,255177,452678,460396,726135,412884,412883,451347,424808,424809,255085,141237,78662,42963,42040,42041,24300,24301,43710,79789,145045,236945,236944,419799,738492,1293863,2231023,3726239,3726224,3726225,4578005,2754309,1596636,907662,511843,286881,158536,158537,286883,511846,907667,254231655,4578026,7259038,10966900,15825573,15558826,10761818,10761817,10761712,7110606,7110607,7110623,6011784,6011785,4477123,4477124,5302666,8230953,10761776,10761778,12182247,8213525,5284385,5284384,8213519,12182236,17305044,17305133,23619409,18856788,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,10761927,15559001,21583197,28856070,23313125,17050368,17050370,21582900,15558801,10761802,7110651,7110652,10761806,15558808,20899949,20899950,28071426,36538460,38000780,29437840,29437839,29438236,31103215,39781894,49800968,47304546,47304545,58694996,71427830,71428749,58696113,47305722,37396231,28855441,28855442,37396233,47305726,42161536,33201657,33201658,33201742,25454978,18856202,13434815,13434814,18856198,25454970,28854530,23616905,23616907,31101031,39330275,37396409,28855594,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438016,29437910,22104958,15994141,15994143,22104968,23617353,23618460,23618459,23616875,23616873,31100983,31102107,268243980,256478576,31100920,255977088,12181226,8212915,8212916,12181229,17303525,23616952,22104831,15994073,15994074,22104835,23616896,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,29437593,29437590,38000444,31101168,31101170,31101670,39778567,49798378,49798806,39779091,31100626,31100627,39779093,39331717,30733561,30733562,38000506,38000505,38000680,47916622,42167487,33207410,33207409,256478710,18857022,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,10442391,10917662,10917660,10442342,6884005,4321427,4321426,6884001,10442337,15140366,14421201,9919707,6519482,4084875,254214827,804057,804058,1413151,2100825,1361011,1361014,2349400,3924390,5971654,3734429,3734426,5971643,9125705,9125522,6569833,6569834,9123458,13349952,18751239,13739939,13739136,13731863,255285593,9460697,254983809 Dl.O(d2) = 27158486,25193291,18631910,254197710,3688179,3688180,5903349,9035755,13246611,18631915,22774847,22196262,16067619,16067621,22196263,22196308,29539534,26586413,19782251,14169461,9741052,254465227,4018576,3378313,3378312,5487567,7400217,7400216,8733562,5685844,5685843,8733558,10682133,15449926,16067883,12842770,8733533,8733532,11156762,7400117,4674884,4674881,7400106,11156741,16067497,19128629,19128627,22196250,24072095,17715727,12532417,8493898,5494980,5494979,8493895,11156843,7400156,4674905,2816392,2816391,4674897,4674919,7400183,11156896,16067717,12842905,8733615,8733614,12842899,11156658,8486665,8486666,12524844,16067847,11156963,11156965,16067854,12524917,12524919,254605069,3378343,3378342,5487629,8486767,12525057,17706996,24062188,30625875,39223590,49150144,269008770,255597690,41490733,39363166,30761968,25417908,18826285,18826284,25417907,23407495,23407498,18787693,18787692,25372192,24504804,24504805,25033872,21674677,21674676,28955502,28389313,27216413,27216412,35340370,44766662,38179572,29612786,22262113,16121940,11199170,11199171,16121943,22262118,22360218,16207531,11266644,254531338,10500664,15222862,21183696,15222209,15222208,21183694,28398355,21178084,21178083,28398353,33679940,256469606,28399149,21178792,15218458,255385079,28399146,268451162,30427174,23021946,23021943,28397009,28397010,28398372,21178104,15217918,254722353,6922002,10497301,15217922,18826188,21176971,21176970,21176973,15217060,267960715,4348474,254722307,15217056,19470896,15226198,10502827,6925444,6925443,10502825,15225874,10502637,10502636,15225872,255460103,11199051,7430931,7430930,255083141,16121559,22261561,16931060,11849788,11849790,16931061,23200301,23407352,23407353,23408567,30837554,39440523,30836641,23407646,23407647,29612806,29612805,23407163,23407162,30836152,30836158,39440168,30836256,30836255,30836147,30836145,23408417,23408416,22401588,16239791,16239790,255237238,20276425,14548316,14548315,10648298,7030790,7030789,4439691,267883381,7026696,10642989,15398919,21381415,17398036,12260712,8280136,5342304,3283552,3283551,5342302,8280133,12260708,17398028,23721884,17398020,12260702,12260700,17398018,23721881,31208291,37125436,37125437,31208283,23721872,23721871,28617853,22401482,16239730,11290218,7495934,7495935,11290221,16239735,22401494,29763914,38334632,48245059,48245050,38334625,38334624,48245048,255237234,41826223,41826224,41826219,41826222,52143696,255613722,31208328,31208329,39887181,49907725,60849098,49447197,39515351,39515352,256069350,73598780,87220860,74168650,61388083,51311072,51311073,62989493,257333398,257162740,76664875,76664876,268478514,51311096,51311095,62989510,74168642,63118011,63118010,63578960,51793398,51793397,63578959,76664855,76664883,63578989,51793423,51793424,61468959,74247427,76664870,76664869,63578990,51793425,51793426,258055670,49991476,51398112,63090271,257933804,76129327,87852188,74247411,61468940,61468941,59450319,59450320,255343920,65167712,65167711,255684866,84769186,269095306,112942288,112942308,112942309,126796334,271071478,103106214,103106215,105500002,98953019,85027842,71455605,71455604,85027839,98953017,89035661,75307568,75307567,89035659,103106212,258433766,87852174,101826749,112303918,112942296,98953031,98953033,112942299,126796332,126796325,126796324,126267049,112404197,98415099,84493474,84493473,84493466,70929207,58211915,46843838,46843837,58211913,70929205,84493401,70929135,62952481,51278092,41099766,32290447,32290446,41099763,257426547,58211935,58211881,58211882,70929168,84493434,270285771,58211934,46843851,36964982,28465917,21243592,15276540,15276541,21243594,28465922,36964988,46843859,58211944,70929160,58211876,46843806,46843807,58211878,70929163,60688715,49287286,39360242,30759319,30759318,39360253,49287293,60688724,73437111,70929194,70929195,84493459,85772957,256959080,59440179,72178643,72247337,59512933,48125416,38215090,29648553,29648554,38215092,48125418,59512935,72247340,85839167,86986082,100971864,89399841,85839157,85838831,72246980,59512517,48125001,38214624,38214623,48124999,258129361,271367740,53930450,43403643,38215085,29648550,29648549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129209, s2 = 8004811, dlinesl.size( ) = 8 s1 = 11129271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129271, s2 = 10485376, int(edited[s2]) = 0 s1 = 11129271, s2 = 10485376, d1 = 20, d2 = 23 Dl.O(d1) = 41766779 Dl.O(d2) = 256621897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129271, s2 = 10485376, dlinesl.size( ) = 2 s1 = 11129271, s2 = 10485376, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11129271, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 11129297, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11129411, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13413018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11129527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129527, s2 = 11230538, int(edited[s2]) = 0 s1 = 11129527, s2 = 11230538, d1 = 16, d2 = 13 Dl.O(d1) = 259008761,105343515,119577271 Dl.O(d2) = 142862061,260879516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129527, s2 = 11230538, dlinesl.size( ) = 16 s1 = 11129531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129531, s2 = 11352214, int(edited[s2]) = 0 s1 = 11129531, s2 = 11352214, d1 = 0, d2 = 21 Dl.O(d1) = 52224292 Dl.O(d2) = 261417267,260500859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129531, s2 = 11352214, dlinesl.size( ) = 14 s1 = 14495899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11129711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129711, s2 = 11112016, int(edited[s2]) = 0 s1 = 11129711, s2 = 11112016, d1 = 11, d2 = 0 Dl.O(d1) = 41923915,32983532,255649437 Dl.O(d2) = 9077222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129711, s2 = 11112016, dlinesl.size( ) = 8 s1 = 15907682, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15907682, s2 = 5875724, int(edited[s2]) = 0 s1 = 15907682, s2 = 5875724, d1 = 3, d2 = 1 Dl.O(d1) = 209261327,203781261,197217152,262909594,170478295,159136068,146762459,133506759,119635044,105399016,91177096,77258641,64111967,52263149,41924761,32984363,25260921,18689384,17144911,12049310,12049314,10486590,6914132,4342645,4342647,6914141,10486604,10494245,10494243,10031258,10031223,6592640,6592641,10031227,14577929,20313487,21536839,21536840,21498972,18946512,13509906,9243870,6054256,6054260,9243890,10713334,7077618,4455814,2676736,1550480,1550481,2676740,4455823,7077636,10713349,15492307,15521632,15522582,255040625,7089274,7089276,10729542,10729587,15513887,20313498,15492216,10713269,7077580,4455794,4455793,7077576,7089955,4464131,4464133,2682001,2682003,4464156,4464264,7090151,10730892,15515718,15515731,10730903,10730904,15515735,21528649,28793478,28793491,30616325,37291860,28758274,22000464,15900789,15900790,22000467,28758283,21499004,15492191,10735478,10735476,15522391,21537744,18946853,13510179,13510177,15513749,10729467,7089231,7089232,10729471,15513758,21526049,21532340,21528167,15515374,10730618,7089968,4464143,2681996,1553643,883356,498449,279545,154287,154291,279555,498473,254160203,2682078,4464273,267965193,10730908,255410351,28793495,22272850,268084923,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12744998,14594853,18445887,13103216,13103215,14184497,14184495,19802627,20222821,14511447,14511449,20222824,22463447,22463446,29830874,30847925,23417593,17141622,12047134,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177820,19793468,26599653,31234078,31234079,24122731,17760974,12568054,8522682,5521278,3407969,2010520,1149689,1149690,2010522,3407974,5521287,8522701,12568094,17761018,19800903,24278283,24278282,31792015,255071680,34663041,26670250,19853784,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16920729,16920728,23186929,24571881,18130481,12855915,8742210,8742209,12855911,18130479,24571877,32155994,37776231,29214914,21900664,21900663,21900586,15821266,268217391,27210383,20282222,14552860,10013586,10013585,14552855,17424343,17759395,12567055,12567056,14594118,10042165,10042163,14594116,255444124,20886991,14983819,10315552,10315554,14983829,16157425,11225633,7448468,7448467,11225624,15958426,11075496,7343944,7343946,11075508,12079077,17179423,15618917,15618916,20283771,19793361,19793365,15819886,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653109,4421993,7029499,10646478,15403252,21386939,16878844,11808727,7887603,7887604,11808730,16600749,11577961,11577959,16600743,22820409,30212356,37479962,28937916,21659244,15623323,10809781,7142859,7142860,10809785,255851367,256885619,47387622,58774800,71504142,85076152,99001597,112991026,126844789,140193024,262191363,263113917,185011135,193342294,200492537,206530758,211521178,215598876,218969177,265373525,226369227,228211587,229829433,231266662,232555954,233720412,234779505,235744437,236622276,237422322,238148856,238810530,239418548,239979839,240500018,240982817,241429465,241843351,242225817,242579410,242908851,243215653,243503151 Dl.O(d2) = 243770256,244017847,244248266,244462018,244437907,244221955,243989158,243739085,243469272,243179554,242870707,242538647,242181684,241796113,241378061,240926984,240439706,239914669,239346724,238729536,238057495,237318112,236506049,235616142,234639603,266205532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15907682, s2 = 5875724, dlinesl.size( ) = 2 s1 = 15907682, s2 = 5875724, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15907682, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11129723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129723, s2 = 14033400, int(edited[s2]) = 0 s1 = 11129723, s2 = 14033400, d1 = 5, d2 = 6 Dl.O(d1) = 52263250 Dl.O(d2) = 63305670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129723, s2 = 14033400, dlinesl.size( ) = 14 s1 = 11129775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129775, s2 = 11226974, int(edited[s2]) = 0 s1 = 11129775, s2 = 11226974, d1 = 15, d2 = 19 Dl.O(d1) = 257771191,72886205,257563202,38835772,38835771,37698498,256900043,30244528,22850473,255159234,7719791,4886163,4886164,7719792,255499891,26934409,26934410,35015827,44392155,46400107,57750981,60130432 Dl.O(d2) = 271345349,262332881,143033628,271954172,87782923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129775, s2 = 11226974, dlinesl.size( ) = 14 s1 = 11129779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129779, s2 = 14025084, int(edited[s2]) = 0 s1 = 11129779, s2 = 14025084, d1 = 0, d2 = 22 Dl.O(d1) = 52272716,64121855,77269147,91188623 Dl.O(d2) = 91188618,77269145,77269144,91188616,105410875,258692958,81010507,268923820,44345775,44345776,38097732,29533683,29533684,29660318,22308003,255085869,7450496,4707408,2835808,2835807,4707403,7450483,11228481,16161287,22022170,29353402,28762501,21502740,21502741,28636959,37152225,28762506,21502743,15495196,15010909,10340454,6807353,6807352,10340450,15010904,11836763,11836764,16615698,11589507,11589506,12221410,8251299,5322823,3271318,1923923,1923922,3271315,4425328,2655500,2655499,4425322,7033980,10652509,15411173,21397003,28637051,28637050,28090992,28090991,36560922,46425125,48204884,38295679,29728848,22372132,22372131,22134471,22134472,29470195,38032968,47203559,37296007,28762510,28762509,37296004,47203556,255577436,268372879,20916839,255828890,15397800,16018806,11122212,7717630,7717629,11593919,16621452,20916973,16621473,16018583,16018584,255887611,37152285,28637010,21396944,15411133,10652488,10652487,11122216,7377132,7377133,10340523,15011012,20917046,16018618,16018617,22134459,22844724,22844725,28090965,20916919,15010930,10340465,6807370,4269501,4269502,6807373,10340496,15010987,20917011,23666805,23666804,31154524,38033156,36560994,28091027,20916972,15010962,15010960,20916963,15397792,10642115,10642114,15397789,16621463,16018633,255449088,7377064,7377063,11122088,16018575,16018615,11122109,7377076,4660542,254349740,1628879,2807791,4660543,7377079,11122114,16018622,255887613,37127352,28616127,28616126,37127349,29470228,28505726,21286670,15322348,15322347,21286667,28505721,28091035,28091036,28091041,36561004,36560980,28091020,28091021,36560984,29470114,22134406,22134404,29470110,38032908,30354989,22953147,16716465,11674663,7783581,4933805,4933806,7783587,11674679,11122151,7377095,7377092,11122142,16018679,22134563,29470294,38033067,29662026,22309555,22309554,29662061,38228425,29902233,22546756,22546755,29901706,22546297,22546298,29901711,29901780,38458562,38228401,29662049,22309548,22309546,24125596,24125595,31631962,37927132,29360792,29360791,37927127,38228188,29661859,22309415,16162541,16162540,22309413,29661849,38228174,48138325,59525321,48138445,48138443,52399167,42055069,33105857,29661952,22309482,22309483,22309522,22309519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129779, s2 = 14025084, dlinesl.size( ) = 14 s1 = 11129929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129929, s2 = 11046804, int(edited[s2]) = 0 s1 = 11129929, s2 = 11046804, d1 = 13, d2 = 0 Dl.O(d1) = 43014199 Dl.O(d2) = 771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771971,438509,438508,441830,778727,254460013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129929, s2 = 11046804, dlinesl.size( ) = 22 s1 = 2619343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7906160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7906160, s2 = 6629358, int(edited[s2]) = 0 s1 = 7906160, s2 = 6629358, d1 = 15, d2 = 21 Dl.O(d1) = 64247331,64247333,70902241,257670836,42047215,42047216,52391264,52392885,42049094,42049093,52392884,64248136,61917636,50427571,50427570,42411223,256768094,52393010,52391375 Dl.O(d2) = 256708139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7906160, s2 = 6629358, dlinesl.size( ) = 18 s1 = 14102073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16386555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16386555, s2 = 14102074, int(edited[s2]) = 0 s1 = 16386555, s2 = 14102074, d1 = 23, d2 = 21 Dl.O(d1) = 12355872,12355873,17521347,23865545,31359527,257069899,40039509,40039510,50059004,40039515,31359530,31359529,257069901,31359534,23865548,17521349,17521348,23865547,31359532,40039518,50059013,268996297,40039520,50059011,52255747,41917497,41917496,41917499,32977320,25254427,25254426,32977317,32977314,32977313,257180273,49963292,49963293,52255742,49715544,39696805,39696804,31271519,23786012,23786013,23785982,17455168,17455167,23785975,23785976,31271483,31271492,23785985,17455172,12305003,8311163,8311162,12305002,17455170,17455197,23786020,257062215,39946358,31271501,31271502,31271512,31271507,31271508,39946364,49963316,49963315,61441556,74221406,61441562,61441561,74221413,74221416,74221415,87826448,258876349,74221410,87826449,87826443,87826442,101800468,101800482,259438748,113894161,101800477,101800476,101800475,101800474,113894162,115846630,129745672,119994900,119994901,113894160,113894159,119994902,105761522,105761523,115846632,115846631,115974530,101929967,87957112,74354750,61577966,50098007,40077269,31396030,31396031,40077271,42206095,52566599,52566598,64441835,52566616,256637888,25494129,25494128,33244553,33244546,25494124,18889496,13461290,13461291,18889499,25494131,33244559,42206114,52566622,64441842,258224980,52566606,42206099,269081497,27300985,255345377,14615374,20361921,27300988,35433518,44872272,35433525,27300992,256241977,20361917,14615372,14615373,20361919,27300371,35432805,35001388,35001387,35433532,27301002,27301003,35432872,35432873,27300932,27300931,35433452,44872092,55801400,68228809,81753643,84861124,71286608,71286607,78439373,269175160,53171859,42722188,42722189,53171861,53171866,42722193,33692037,25885312,25885311,255731986,23266115,23266117,255561690,49206250,49984831,39968716,31294467,31294468,39968718,39279908,30682968,23266132,17002275,11915466,7970582,5071581,3074865,3074866,5071582,7970585,11915471,17002284,23266147,30682987,257019135,60606766,73351660,64257739,64257740,74221419,74221420,86963047,259454509,73351663,60606756,49206293,49206292,52402475,42058544 Dl.O(d2) = 67684435,81150266,259790173,109799225,272100705,259288876,68073958,55675013,44765632,44765631,55675012,68073955,81563795,95597235,109799216,259806051,81563787,270675589,68073953,55675009,55675010,259179909,259806049,81563776,68073930,55674991,44765619,35339301,35339300,44765618,55674989,68073925,81563772,95597227,95597236,109799223,114491598,100467076,100467077,114491599,115653295,115653296,129539849,129539847,115653290,101612052,101612051,87645081,87645082,87645086,74041914,74041915,73433991,61262242,49783442,39764121,39764120,39764136,257048449,61262258,61262257,49783456,49783439,39764118,39764119,31085897,23601725,17289041,12168034,12168033,17289038,23601719,31085885,39764116,44466666,55312571,61262228,49783431,39764112,31085881,31085882,39764114,49783433,61262232,73992470,73992471,64242035,61262218,49783425,39764104,39764105,49783426,61262220,74041882,73503876,73306726,60563157,60563158,73306728,61262224,61262225,74041888,74867455,86934995,87645053,87691540,74084211,61302883,49822993,39802221,39802222,49822994,61302874,60520815,49119446,49119447,60520816,49163425,49163426,49163372,39236625,39236626,39236623,30638604,23215502,23215501,30638601,257015583,49163407,39236656,30638634,23215527,23215526,30638632,37826805,47749021,49117820,49117821,60519431,73264652,83952919,75971631,62989446,51310992,41128005,32314845,24701109,18231029,18231030,23173434,30592064,30592061,23173433,16909421,11833819,7908657,7908658,11833821,16909413,18648039,18648040,25213342,30592054,23173429,16909419,11833817,11833816,16909417,23173425,30592051,31112020,31112019,39792512,31112004,31112005,39792514,32929629,32929628,31112046,23625635,17310044,17310042,23625630,17310036,12186073,8216556,5286608,5286607,8216553,12186065,17309989,17309990,23625559,31111970,38283422,31112055,23625642,17310049,12186080,8216560,5286610,5286609,8216558,12186077,255549227,23625588,17310013,17310012,23625586,31112006,39792515,39792474,31111953,23625540,17310038,12186074,12186075,17310039,23625564,17309994,17309993,23625562,31111973,23742111,17417556,12276233,12276232,17417555,23742108,31225440,30326299,22925192,16690737,11651688,11651689,15175246,255809669,36831939,46714599,46803371,54633181,43890271,257287111,268812673,26629167,26629168,34618732,30824061,256484685,28335422,21123465,21123466,28335424,36831925,46714584,49358127,39428396,39428397,46714580,58086435,70803363,60228940,60228939,58086439,46714582,46714583,58086441,257416703,46714578,58086431,70803356,258193892,84362014,70803379,58086452,58086451,70803376,73307109,70803365,70803364,84362018,70884825,70803360,70803362,74829648,74829649,73307091,60563572,49163856,49163857,60563570,60563569,49163855,49163854,49163860,60563576,50541745,50541746,62033260,62409875,59197404,47797298,47797297,39237071,30638996,23215776,16943628,16943627,22057913,22057914,29388469,268380288,71318601,66856151,54597601,43853406,34581914,34581913,37872938,29303694,21976223,15881572,254962360,29303696,37872943,47797305,47871847,37953517,29388466,29388467,37953519,47797300,47797299,59197393,59197392,71936923,258193894,52354301,42015092,33071138,25341414,25341413,33071137,42015091,52354300,59440133,59440134,72178578,64204635,52354318,42015102,42015103,52354320,64204624,77352331,64204642,59440130,48048352,38134917,29568772,29568773,38134919,48048354,59440136,257539358,33071145,25341417,18761333,18761334,25341419,33071148,42015109,52354327,59440149,52354321,52354298,52354297,64204613,64204640,64204639,77352322,77352323,91272318,99726748,99726747,99726746,259397548,113740945,127609462,140958683,146863330,152204969,146863328,133606543,133606542,140958692,153624929,153624931,140958693,140958694,140958680,140958681,146863327,133606541,133606540,146863325,146863329,159236579,261740584,140958691,127609469,260015680,127609472,139475014,140958699,140958700,140958689,127609466,113740947,99726754,99726755,113740949,126103107,126103106,139475021,126103128,112247179,105910183,91703159,91703158,105910178,271996063,120121882,120121883,270899412,270899414,112247172,98267529,84359130,84359128,98267526,98267551,84359173,84359174,98267552,98267524,84359124,70800549,70800550,84359126,91703161,77775764,64593056,64593055,77775761,91703157,84359180,84359182,84359179,70800601,70800602,64256641,52401402,257051435,31124021,23638127,17322487,17322486,23638125,31124018,39804147,49825063,61305096,49825065,49027208,49027207,42057477,42057478,257501056,73177747,86790259,73223782,73223781,74012957,73177740,73177741,86790253,100771169,87617050,87617049,100771170,87617054,74012963,61232461,49753448,39734739,39734738,49753446,61232457,61232445,49753439,49753438,59264674,52871220,52871219,64789842,77983358,77983356,77983355,86581143,74012946,61232455,49753444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16386555, s2 = 14102074, dlinesl.size( ) = 2 s1 = 16386555, s2 = 14102074, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16386555, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 11130525, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11131045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131045, s2 = 11055708, int(edited[s2]) = 0 s1 = 11131045, s2 = 11055708, d1 = 4, d2 = 13 Dl.O(d1) = 255513336,18884035,18884036,20915122,28088739,36558165,255814408,28290402,21083931,15144611,15144612,21083932,25482687,18880224,13454486,9201016,9201012,13454479,14444052,20137940,27030468,32853902,25147079,25147081,18885428,18885282,13458085,13458083,18885278,18110294,18110292,24544882,29659056 Dl.O(d2) = 48752188,60146459,259369314,256147248,255556240,15475578,21477993,17703498,12521935,8483677,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060484,9253653,13522064,15270723,10560222,9243352,6053877,3788312,3788308,6053857,6941402,6941403,10525000,12433327,8402946,5422311,3333304,3333301,5422321,8402973,12433358,10541544,6952076,6952078,10534074,10541982,6952379,6952378,10541976,12060840,12060839,13525551,9256631,6062412,6062411,6065880,3795268,2273312,2273311,3795261,6052969,6052970,3795765,2273624,2273444,1318460,1318462,2273605,3795732,6066625,9262511,13532492,17165348,12069120,8115814,8115811,9252399,9252400,13520615,18956942,18963590,18948302,18948303,20142710,23626353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131045, s2 = 11055708, dlinesl.size( ) = 14 s1 = 14109583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13967901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13967901, s2 = 7691947, int(edited[s2]) = 0 s1 = 13967901, s2 = 7691947, d1 = 71, d2 = 95 Dl.O(d1) = 269652461,258538010,77756140,76225838,256227042,269194676,256227044,42287158,42287157,52673381,51340570,51340569 Dl.O(d2) = 112935824,122949057,136779148,272769963,142268649,142268648,128917113,116532047,260123727,101899080,87925094,74799922,74799923,85377280,71787823,71787822,61545783,257070749,40048351,50067696,61545782,59046203,59046190,47644629,257481933,40048353,31367907,23873165,23873166,31367908,29162742,29162741,37722599,47644631,59046194,258715723,269760166,59046193,50067705,50067706,50067715,40048368,40048367,43219184,53731410,269293102,40048315,40048314,31367888,23873155,17528878,12362835,8353639,254403207,3315585,5391922,8353642,12362840,17528886,23873168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13967901, s2 = 7691947, dlinesl.size( ) = 2 s1 = 13967901, s2 = 7691947, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13967901, Dl.E( ) = 116, 3.6e-05 seconds used appending s1 = 11131297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11131445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11131597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131597, s2 = 14976569, int(edited[s2]) = 0 s1 = 11131597, s2 = 14976569, d1 = 24, d2 = 175 Dl.O(d1) = 52716044 Dl.O(d2) = 62060873,62060874,62832946,259586203,117848658,105277561,91066225,77157752,64023209,64023208,77157751,91066223,105277559,258977780,146606050,136778238,122948103,108683012,258506234,136778241,140977857,140977858,141219455,127860586,113982900,99960157,99960158,113982902,116524541,102427701,102427702,102427718,88426315,74794195,61997816,50506305,50506304,61997813,74794190,88426304,258765154,130362768,130362791,116524556,102427712,102427711,116524553,130362786,143093883 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131635, s2 = 10622181, int(edited[s2]) = 0 s1 = 11131635, s2 = 10622181, d1 = 45, d2 = 51 Dl.O(d1) = 42335979,33354851,25594545,22683797,22683798,23611604,23611605,20169057,20169056,22822758,16602531,11579188,7707298,7707299,11579193,16602542,22822780,28368433,25453894,25453893,33200579,37043166,46921135,37798618,29235887,21918213,21918214,22131004,16016070,11120350,11120349,16016064,22130999,28543721,21320291,21320290,21320207,15349612,15349611,21320202,28543593,268176156,35148744,28543678,21320258,21320257,21320275,15349637,15349638,21320279,20169068,14470512,9956201,9956202,14470517,20169080,27063143,22822746,16602521,16602519,22822743,22822774,22822773,28368437,28368436,36866112,38798897,38798898,48719940,53013648,42573334,33556358,25766808,19127144,13656873,13656874,17107513,17107512,22130993,29465903,37042829,28543716,28543601,28543596,28543597,37042684,46920680,42573308,33556340,27062885,27062886,35148747,35148527,35148526,28543699,28543700,256854256,35148568,27062743,20168775,14470316,14470315,20168770,27062737,27063129,27063127,35148982,44525539,55371725,67711498,60114839,48719948,38798903,38798904,48719953,60114884,268550516,64988780,53013655,53013656,64988788,78262439,71769785,59026778,47623860,47623861,37700886,37700885,47623875,59026801,71769811,85359764,99304875,99304868,85359760,71769808,71769806,85359756,95232495,109485843,257915626,84967360,71392537,71392538,84967362,98893140,112880995,99304864 Dl.O(d2) = 85595421,76698764,76698765,74859262,62060557,50567988,40531344,40531345,50567993,62060562,62060496,62060495,50567969,50567971,62060520,62060527,62060529,74859200,88496118,102504769,102504855,109607065,109607124,109606975,102504911,102504913,116609649,123794490,132156294,118341650,104184863,104184865,104740614,104740613,118933536,109606968,109606969,123794433,109606986,109606987,95355167,95355159,95355160,104740658,90566937,76698776,63608996,51820388,51820390,63608988,63608987,76698757,90566923,102504732,102504731,95355248,88496083,74859169,62060492,50567983,40531340,40531339,50567980,62060541,74859223,88496164,102504847,102504852,102504851,116609610,102504964,102504965,102504916,102504915,116609652,130454895,143783773,132156289,132156290,145385333,156308549,162663714,150545127,145997108,132765871,118933507,104740585,104740584,259606944,76698733,63608974,63608975,76698736,90566879,90566902,90566903,104740606,90566919,90566920,102504717,102504716,116609469,102504833,88496153,88496133,74859207,62060532,50567975,50567976,258299853,88496137,102504799,116609534,130454803,130454873,130454915,116609706,116609604,116609603,130454866,143783760,150545164,145385300,145385299,152448987,152448986,152448983,143783732,143783733,137516360,137516362,143783707,156308576,145997100,132765857,118933491,118933490,118933519,116609566,104740620,90566909,90566898,90566899,102504865,102504864,116609462,116609464,130454746,116609540,102504804,102504806,104740627,102504782,88496124,88496123,88496142,87179865,87179863,101176694,115252992,129182897,132765862,137516260,123794317,123794315,130454864,130454863,143783665,130454791,130454789,132156237,132156236,139723508,139723505,143783743,130454855,130454854,143783739,143783654,143783652,143783715,143783725,130454847,116609579,102504825,88496148,88496147,102504819,116609574,104740598,104740599,116609614,116609613,130454879,143783620,130454820,116609552,102504809,102504810,116609554,116609513,102504775,101176714,87179872,73562225,73562226,87179878,101176721,115253032,129182952,142558446,150545023,150545024,150545030,156308563,143783672,130454797,130454795,132156233,126347682,112480187,112480186,126347678,139723527,152449010,272178342,153423172,156308579,156308587,143783720,139723995,130454823,116609557,116609558,116609562,130454831,143783702,132765877,132765876,145997113,152449151,155201237,142558398,142558397,130454812,130454811,137516265,139723934,126348094,126348093,115253005,101176706,101176704,115252998,129182905,142558404,139723730,139723731,139723928,139723925,152449268,150545089,137516315,123794347,109606793,109606794,123794350,126347668,126347667,139723515,152448999,155201258,155201259,152449290,139723981,139723983,152449298,152449003,142558426,129182922,115253011,115253009,126348390,126348391,126347857,112480328,112480329,126347864,129182937,129182938,137516283,123794332,109606782,95354823,95354824,109606787,123794341,137516306,142558411,142558409,155201252,155201259,152449290,139723981,139723983,152449299,152449198,139723818,126347971,126347970,112480812,98489080,98489081,112480819,126348412,126347928,126347927,139723788,139723594,126348058,112480509,112480511,126348062,128135963,141497188,150545067,154471797,154471795,142558419,140081325,139723987,126348147,112480569,98488867,84565770,71001789,71001787,84565765,98488859,112480556,126348134,128135954,128135953,141497174,150545077,139723869,126348042,126348040,112480635,112480636,126348023,126348025,139723856,139723828,126347979,112480444,98488763,84565694,84565695,98488768,112480452,112480390,98488726,98488725,112480385,126347931,133600046,133600044,126348049,126348050,128135959,128135958,139723994,128135946,128135945,139724202,139724203,139723710,126347828,126347830,112480550,98488855,98488853,112480546,126348118,139723953,152449189,139723814,126347967,114249292,100215323,100215322,114249290,114249299,112480504,98488813,84565735,84565733,98488807,112480496,126348030,139723859,128474018,114588169,100556072,100556071,114588164,112480378,98488721,84565671,71001719,71001718,84565667,91263918,91263919,105486523,119725802,119725786,119725785,133600031,128474034,114588185,100556090,100556092,112480777,126347913,126347406,126347405,114588155,100556065,100556063,114588150,128474001,126347411,114249267,114249268,114249298,100215329,86247937,72646451,72646452,86247942,98488834,84565749,71001772,71001771,84565743,98488827,86594343,86594345,100556041,100556077,86594377,86594378,100556081,112480411,98488737,84565678,71001721,71001722,84565684,98488746,112480419,114588178,114588132,114588131,128473987,114588192,100556102,100556097,86594387,86594386,84565920,84565922,98489053,86247952,72646457,72646458,86247959,100215356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131665, s2 = 11096622, int(edited[s2]) = 0 s1 = 11131665, s2 = 11096622, d1 = 32, d2 = 36 Dl.O(d1) = 269342182,72817067,258136602,85168526,76892466,269486945,41659277,34314564,26436198,255309937,14123153,19697448,257271597,66012223,79380211,72562347,258103732,259401739,273083553 Dl.O(d2) = 259256430,254481971,2536683,2536682,4242666,6769376,10296498,255369617,28124335,256821267,46464115,36597709,255618108,32885948,25176850,18617362,13233905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131665, s2 = 11096622, dlinesl.size( ) = 32 s1 = 12075406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11131749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131749, s2 = 11116970, int(edited[s2]) = 0 s1 = 11131749, s2 = 11116970, d1 = 12, d2 = 15 Dl.O(d1) = 257557772,48693199,60089370,72826741,72850345,72850344,86445356,261154545 Dl.O(d2) = 157370889,272871118,41078101,51251846,60680038,257024865,30752200,256480047,30752206,23329918,17063289,11971645,11971644,17063288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131749, s2 = 11116970, dlinesl.size( ) = 18 s1 = 11132067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132067, s2 = 15159609, int(edited[s2]) = 0 s1 = 11132067, s2 = 15159609, d1 = 20, d2 = 25 Dl.O(d1) = 255693138,6105213,3819991,3819993,6105241 Dl.O(d2) = 91891616,92493382,273011403,181464609,185791223,176347189,176347187,165679555,153903288,153903287,153903286,141231321,127872122,113993860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132067, s2 = 15159609, dlinesl.size( ) = 16 s1 = 11132117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132117, s2 = 14192131, int(edited[s2]) = 0 s1 = 11132117, s2 = 14192131, d1 = 7, d2 = 7 Dl.O(d1) = 42466839,42466840,52870571,53933750,59712477,48325533,38416101,38416100,48325535,59712482,59712460,48325514,48325515,59712462,72449277,72449278,258483390,49029452,39100479,257005341,38184253,29616989,22265679,16124500,16124501,21660725,21660724,28939658,29616959,38184214,48095847,48095874,59484902,48095855,38184192,38184191,48095852,59484899,256680948,35101434,29616943,29616944,38184184,48095843,59484894,59484913,72221560,72221573,59484955,59484954,72221583,77787752,64604876,52704352,48095833,38184178,29616937,29616938,32467546,41312562,258750465,67721055,60692547,49291084,49291083,60692546,73440840,86723460,73118072,60378104,60378106,55381155,44534832,44534831,55381153,67721081,270661417,91443961,91443962,258086186,77514063,77514062,271036275,101054902,87058883,259461001,91443981,258267264,52478142,42122940,33166475,256641405,52478140,64348434,77514076,91443977,105667439,91443969,78260890,64987528,53012528,53012529,64987530,256692996,92287654,87058940,87058941,101054974 Dl.O(d2) = 42466839,42466840,52870571,53933750,59712477,48325533,38416101,38416100,48325535,59712482,59712460,48325514,48325515,59712462,72449277,72449278,258483390,49029452,39100479,257005341,38184253,29616989,22265679,16124500,16124501,21660725,21660724,28939658,29616959,38184214,48095847,48095874,59484902,48095855,38184192,38184191,48095852,59484899,256680948,35101434,29616943,29616944,38184184,48095843,59484894,59484913,72221560,72221573,59484955,59484954,72221583,77787752,64604876,52704352,48095833,38184178,29616937,29616938,32467546,41312562,258750465,67721055,60692547,49291084,49291083,60692546,73440840,86723460,73118072,60378104,60378106,55381155,44534832,44534831,55381153,67721081,270661417,91443961,91443962,258086186,77514063,77514062,271036275,101054902,87058883,259461001,91443981,258267264,52478142,42122940,33166475,256641405,52478140,64348434,77514076,91443977,105667439,91443969,78260890,64987528,53012528,53012529,64987530,256692996,92287654,87058940,87058941,101054974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132117, s2 = 14192131, dlinesl.size( ) = 2 s1 = 11132117, s2 = 14192131, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11132117, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14192132, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11132177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132177, s2 = 14055096, int(edited[s2]) = 0 s1 = 11132177, s2 = 14055096, d1 = 4, d2 = 31 Dl.O(d1) = 42476202 Dl.O(d2) = 33482667,42476204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132177, s2 = 14055096, dlinesl.size( ) = 20 s1 = 11132303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11132421, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11132437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11000277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11132881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132881, s2 = 11475228, int(edited[s2]) = 0 s1 = 11132881, s2 = 11475228, d1 = 13, d2 = 11 Dl.O(d1) = 259698707,262006283,121015435,121015436,261474003 Dl.O(d2) = 263370745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132881, s2 = 11475228, dlinesl.size( ) = 14 s1 = 14865642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14110391, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11133353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133353, s2 = 13577951, int(edited[s2]) = 0 s1 = 11133353, s2 = 13577951, d1 = 11, d2 = 5 Dl.O(d1) = 42801689,33770002,25961044,19295858,13795842,9460096,9460097,13795844,19295862 Dl.O(d2) = 53254333,65243960,70509539,60078060,48681850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133353, s2 = 13577951, dlinesl.size( ) = 2 s1 = 11133353, s2 = 13577951, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11133353, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 11133405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133405, s2 = 10993476, int(edited[s2]) = 0 s1 = 11133405, s2 = 10993476, d1 = 14, d2 = 18 Dl.O(d1) = 268308396,19301666,25967979 Dl.O(d2) = 8777844,8917541,6011442,6011439,8777889,9021623,9021777,9021774,13230805,18613561,25172138,25453934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133405, s2 = 10993476, dlinesl.size( ) = 2 s1 = 11133405, s2 = 10993476, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11133405, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 9706488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14544312, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11133747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133747, s2 = 11409526, int(edited[s2]) = 0 s1 = 11133747, s2 = 11409526, d1 = 3, d2 = 16 Dl.O(d1) = 42924710,42924711,256169808,65393919 Dl.O(d2) = 220636347,217576648,213910614,209445891,204004457,204004458,197481661,189820763,262288850,159471558,147097921,260055028,105755102,91532003,258190886,64432250,52557589,42198371,33237829,25488543,18884937,18565259,15197384,10482189,6911000,6911001,10482195,15197394,12629259,8574649,5570554,5570553,8574658,12629276,12352131,8345440,8345438,12352121,17516334,23859744,31353249,40033329,36866260,36729230,28235072,21037404,21037405,28235076,28365967,21149701,21149699,28365963,28366944,23860218,21153912,15198653,15198657,21153925,22141333,28368525,36866198,256347136,28367845,28367844,36864167,36864168,36866370,28368738,21151981,15197300,15197299,11860243,11860244,16946043,16946163,11860313,11860312,16946159,23218455,23218456,23675495,23675494,23218731,23218732,28025249,28451248,21224466,21224465,28451246,36951478,46829501,58195372,70907988,84464212,98373360,112355486,119738565,272368852,159242468,159242467,159242468,170579727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133747, s2 = 11409526, dlinesl.size( ) = 12 s1 = 11133989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133989, s2 = 15909379, int(edited[s2]) = 0 s1 = 11133989, s2 = 15909379, d1 = 11, d2 = 2 Dl.O(d1) = 43024409,33966687,33966688,43024412,53503895,65529424,59448738,59448734,59448735,59448737,48057301,38144076,38144077,257514297,258747415,68080178,55681478,44772636,44772637,44772635,35347427,27224399,255558693,255558691,23757028,23757030,17446000,12297702,8305693,8305694,12297708,12295519,8304442,8304438,12295536,17442632,23771077,28492895,36841256,28344380,254849386,46723974,58095850,70812936,70495503,59434275,59434274,50488135,40451915,31757048,255592055,12653909,12653910,255527732,31757050,40451918,50488136,61980258,74776576,88408135,102408365,116503676,130340316,143665550,261246596,178236940,262777383,166611109,177181906,186527246,194672132,200784845,263862960,175919497,165212589,153409548,140727750,127371513,113501559,260574219 Dl.O(d2) = 259315342,47819410,37897438,29328871,29328872,37897440,47819412,59217734,49193777,39267535,257532481,38374688,29802988,29802989,23282705,17023515,17023516,23282708,30698230,25683158,19059964,19059963,25683156,33454767,42447888,37504485,37504484,47412022,256526908,33438543,33438544,42430650,48341097,258071387,47318911,47318910,58707786,47318908,47318909,58707788,63906814,63906813,258380071,52087685,41774017,256107621,25146476,29148471,29148473,28869264,28869261,37410489,30555718,30555717,28907118,28907119,37446269,47352814,58740447,71470218,85042202,98967335,112956771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133989, s2 = 15909379, dlinesl.size( ) = 2 s1 = 11133989, s2 = 15909379, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11133989, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15909380, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11134061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11134061, s2 = 14113372, int(edited[s2]) = 0 s1 = 11134061, s2 = 14113372, d1 = 0, d2 = 41 Dl.O(d1) = 53514552 Dl.O(d2) = 148959399,161264346,172463536,169490362,261930495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11134061, s2 = 14113372, dlinesl.size( ) = 38 s1 = 11134105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11134105, s2 = 11125910, int(edited[s2]) = 0 s1 = 11134105, s2 = 11125910, d1 = 24, d2 = 27 Dl.O(d1) = 257439748 Dl.O(d2) = 2349100,268036321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11134105, s2 = 11125910, dlinesl.size( ) = 32 s1 = 9156730, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11134199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15104522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15104522, s2 = 11251238, int(edited[s2]) = 0 s1 = 15104522, s2 = 11251238, d1 = 1, d2 = 9 Dl.O(d1) = 53716874,258301679,50600224,40559268,40559269,50600225,60442423,49038584,49038585,60442425,62098683,74902104,259549727,102547228 Dl.O(d2) = 62098681,60442419,49038577,49038576,258194731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15104522, s2 = 11251238, dlinesl.size( ) = 12 s1 = 11848602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11134915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11134915, s2 = 11384440, int(edited[s2]) = 0 s1 = 11134915, s2 = 11384440, d1 = 23, d2 = 14 Dl.O(d1) = 260953507,149455219,161747622,262046116,264439895 Dl.O(d2) = 262122251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11134915, s2 = 11384440, dlinesl.size( ) = 22 s1 = 11135033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135033, s2 = 11128762, int(edited[s2]) = 0 s1 = 11135033, s2 = 11128762, d1 = 20, d2 = 27 Dl.O(d1) = 43364658 Dl.O(d2) = 255121127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135033, s2 = 11128762, dlinesl.size( ) = 20 s1 = 11135059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135059, s2 = 11071284, int(edited[s2]) = 0 s1 = 11135059, s2 = 11071284, d1 = 25, d2 = 15 Dl.O(d1) = 256418304,6374760,254311659,2397135,3999922,254677905,14091116,255737604,28420625,21204025,15238205,10511882,10511881,15238202,12185848,8216368,5286476,3238508 Dl.O(d2) = 61292144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135059, s2 = 11071284, dlinesl.size( ) = 8 s1 = 11135167, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11135211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135211, s2 = 11158298, int(edited[s2]) = 0 s1 = 11135211, s2 = 11158298, d1 = 11, d2 = 16 Dl.O(d1) = 257865705 Dl.O(d2) = 268658176,72510620,262324397,260754094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135211, s2 = 11158298, dlinesl.size( ) = 28 s1 = 13455521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13455521, s2 = 15267415, int(edited[s2]) = 0 s1 = 13455521, s2 = 15267415, d1 = 20, d2 = 24 Dl.O(d1) = 230199633,228622839,226829549,224772679,265343396,216372626,212430712,207610494,201765097,263819724,177391781,262606440,142507081,129129974,115198411,101120570,87122586,73503822,258840905,79379314,79379315,66011223,66011222,79379314,79379316,66011223,53941001,53941002,66011224,53941004,43414245,268738046,19696390,15331297,10588755,10588753,15331294,16672405,14122947,9716311,6391965,4011364,4011365,6391969,9716319,14122961,19697183,26435870,34314156,43415253,43415254,47499410,37595337,29047625,21754245,15700495,15700494,21754243,29047621,25911605,255170214,35151846,38170227,29603272,29485101,256384351,38170222,48082915,38170123,35095877,27009469,20117821,14427469,14427468,268338357,35095867,44472650,55318673,67658317 Dl.O(d2) = 95183442,95183443,109439343,123632375,261267369,99337694,85394286,73972080,61193595,49714946,39696242,31019308,23538380,255155393,12112505,17230523,23538382,31019312,39696244,49714942,39696237,31019303,31019302,39696234,257625615,61193585,73972074,87570247,101527966,115557321,129434985,142754170,142754169,155345721,166998247,177514251,263223179,186806478,177514253,177514252,177514249,177514251,263223179,263959433,201834546,194902603,186806480,177514257,166998251,155345723,155345722,166998249,177514252,177514249,177514251,263223179,263959433,194902601,194902602,194902600,264271261,212483756,216418457,219681473,221501372,218618939,215194076,211036450,205948929,199796371,192519000,184063378,174409076,163567550,151687261,138982853,125644657,111829890,97897287,84027879,256939654,46437521,36572762,36572761,46437520,258008199,259259055,111829887,125644654,138982851,138982854,127764470,113889245,99870712,85915542,72322354,59587871,48201404,38292059,29725193,28461497,21237414,15269055,10566866,10566867,12061139,17157703,23429774,18961930,18961929,25571266,28472305,21254369,21254370,15304045,10568133,10568132,15278179,10544298,10544300,10544279,10544281,10528338,10528336,10568386,10568063,10568064,15266617,10534050,10534052,15266600,15266599,14071166,14071164,15266453,10533909,10533910,15266462,15259613,15259615,10568483,9942578,9942579,10544297,10544300,10544279,10544281,10528338,10528336,10568386,10568063,10568064,15266617,10534050,7505507,4744288,4744290,6944788,6944787,10530363,14070628,15264134,10531901,6945742,6945743,4376094,2621221,1513050,1513049,2621218,4376083,6965462,10560763,9981639,6560612,6560610,9981631,12068669,10530610,6944935,4364374,2615343,1510237,1510236,2615338,4364361,6944913,8113760,10448003,10565633,10543058,6953060,6953062,6952720,4368681,2617474,1511284,856960,856959,1511277,1510911,1510910,1510991,1510990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13455521, s2 = 15267415, dlinesl.size( ) = 22 s1 = 11135299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11135349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11135353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135353, s2 = 15240217, int(edited[s2]) = 0 s1 = 11135353, s2 = 15240217, d1 = 6, d2 = 19 Dl.O(d1) = 43843837,43843838,50534378,40499146,257687811,74822908,88456316 Dl.O(d2) = 114131348,114131349,104767224,90593869,76726476,258993549,104767222,94385093,259763195,260082021,87125737,87125738,101123764,260680949,260917084,93495622,107933733,122361045,260503794,94384468,94384471,108671268,122935529,122361049,107933736,93495625,93495626,272062119,260378143,108671708,108671707,118960463,132794258,142509979,261194988,101123797,87125765,259077530,65991784,79358972,93495618,101123806,260082029,107933721,260362513,108671269,107933715,93495595,79358944,65991778,65991779,259077532,257831876,34297107,26420551,19683873,19683871,256189861,257270123,65991781,79358967,259743933,122361037,111659910,270788637,70355442,70355443,83880116,94384474,107933711,97738908,83880107,70355433,57665771,57665772,65991744,65991741,79358935,93495585,80329911,66902691,66902692,80329833,80329834,94384412,93495602,93495601,94384410,80329832,258218778,54645414,54645459,43902305,34629835,26639908,26639909,34629837,43902309,54645464,66902673,54645470,43902312,34629840,34629841,43902315,54645473,55357699,55357700,66902655,258505391,94384467,270633575,257886201,43902321,54645482,258505401,94384511,92482747,78445305,78445306,80329926,66902706,54645488,43902325,43902324,54645486,66902702,66902688,54645479,256724117,26639914,19827855,14203692,268168617,26639916,34629850,43902331,269614137,80329946,94384522,92482710,78445280,78445281,92482712,92482754,106790201,94384567,94384566,106790170,106790169,94384488,80329899,66902675,54645466,54645467,66902677,80329903,94384493,80329935,66902711,54645490,54645489,66902709,80329932,92482756,258655650,271296952,80329957,80329958,94384556,92482770,92482769,106790216,121045820,134845732,122935568,108671306,108671305,98561827,84638543,259298951,108671294,94384533,94384534,108671295,101123776,87125745,73506908,60757770,258218279,87125741,101123771,115201450,122935593,108671329,108671330,98703687,98703688,112699619,98703684,84775177,84775178,73594401,60844850,257198294,38873634,38873635,48796000,60192755,72932121,60192756,48796002,38873636,38873637,48796003,258180819,86530649,100489385,114513333,100489377,86530642,72932113,60192747,60192748,61447108,49969340,39952618,39952620,49969342,61447110,70527268,57825146,57825145,70527266,73171116,73171108,60424318,257650208,63545764,51766447,41495048,41495049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135353, s2 = 15240217, dlinesl.size( ) = 20 s1 = 11135467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135467, s2 = 11276770, int(edited[s2]) = 0 s1 = 11135467, s2 = 11276770, d1 = 2, d2 = 12 Dl.O(d1) = 54609444 Dl.O(d2) = 258735168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135467, s2 = 11276770, dlinesl.size( ) = 8 s1 = 11135567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9024119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11849012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11849012, s2 = 7622311, int(edited[s2]) = 0 s1 = 11849012, s2 = 7622311, d1 = 0, d2 = 6 Dl.O(d1) = 54693832 Dl.O(d2) = 269791682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11849012, s2 = 7622311, dlinesl.size( ) = 2 s1 = 11849012, s2 = 7622311, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11849012, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11135985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135985, s2 = 10830342, int(edited[s2]) = 0 s1 = 11135985, s2 = 10830342, d1 = 0, d2 = 0 Dl.O(d1) = 256286308,9798682,9798681,10816644,10816646,15630653,19899224,14923526,10262056,6743463,6743462,7977229,5076542,267763034,6938135,4359905,2612406,2612407,254324222,267957814,16103182,255056586,4689987,2825961,1639589,932360,932359,1639573,2825675,1639448,932313,932310,1639441,2825657,2825776,4689530,4689529,7420992,4689580,4689579,4689585,4689586,4701899,7441406,11215094,11184404,7421024,7421027,10810234,15464262,16142882,16101157,11183835,7420655,7420656,11183837,11184232,7441945,4702205,2832796,1643453,1643454,2832799,4702213,7441958,7441873,7441875,11215770,16101079,16142782,16144296,22287805,22286774,22286773,22166229,16043651,11139966,7388925,7388923,11139959,16043643,22166222,23381142,22287065,22286846,22286847,22288108,267829798,11215889,16142866,11214633,7441112,7441111,11214631,10679838,10679839,15447001,11294334,11294335,16245444,22408788,22288024,16144289,11215815,7441913,7441914,11215817,16144293,16037322,16037323,15348164,10602356,6995227,6995230,10602359,15348168,21318858,22251638,29601413,23205500,255457856,29638818,22287068,22287070,28802859,254350378,16127712,16127713,22268795,29619851,38186990,38147042,29580938,22233222,16142790,11214560,7441073,4701694,254236901,1643318,2832525,4701700,7441087,8083489,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1055888,1055892,1850119,3160410,254236670,12024401,16122401,11199481,7431198,4695840,2829328,2829329,4695841,255083183,18331680,13013045,8859982,5775008,5775010,8859994,9184936,6011556,6011555,8777837,5832015,3639016,3639015,5832012,8935332,254461621,2382064,1378634,784272,784273,1378639,2382076,3975612,6337765,9640889,14024799,19577469,16618163,11591741,7716310,4883933,4883935,7716313,11591745,11593336,7717299,7717298,268094073,21873336,15798803,10946656,255867927,14202597,18795913,13389199,13389198,13824404,13824405,13389221,9153290,9153291,13389226,9411591,6166233,4005583,4005582,6383801,9705220,9452839,9452838,13020181,9534902,9534904,13895247,19421605,255687060,19174889,13692816,13692818,13824721,9481306,6217078,6217077,9481302,13824714,19332743,19825851,26037516,19359767,13847583,9500902,9500901,13849632,13849654,19362634,13849642,13849641,19362640,26041170,33862924,33858830,26037489,25380705,18795966,18795967,19605817,14048407,14048408,19605821,18796057,13389296,9153323,5990419,3745764,2242101,2242103,3745773,5990429,9153355,13389207,13389204,13389191,9687508,6372311,6372309,9687500,14083849,14201894,13824711,13824710,14201788,14201787,14201876,9762739,9697664,9697665,14048325,9659876,6352250,6352249,9659868,14048312,14048519,14048516,19333286,19333287,26006848,19669309,19669308,19606168,19606169,25886831,19226811,13734947,13734946,13737026,19226565,19226563,13738152,13738150,19230498,19226555,14201607,9762551,9762550,14201600,18521428,18521443,25060007,25060008,19353812,13842096,9494978,9494979,13842103,19227177,19227176,25887130,33693867,26198590,19669470,14099785,14099786,19669471,25462966,19285597,19285596,14099482,14099481,14955302,10288912,6763661,6763662,10288916,14955306,19208831,14201997,9762815,6418959,4027001,4027003,6418967,6419329,4027211,4027209,6419324,9763372,8134894,5212021,3179866,1861332,1861333,3179868,5212028,8134907,12096073,17201135,14049231,14048635,9660110,6352422,6352421,9659887,9452633,6352553,6352552,9660294,268040399,6378302,6378303,9697764,14048472,9659992,9659991,14048470,14048493,9660683,6352781,3986055,2389056,1382968,1382967,2389053,2398144,1387734,1387735,2398148,4001824,6378250,9697689,14099621,9698272,6378610,6378608,9698266,14100267,255304899,9660345,9660346,14048938,19606351,14202389,14202390,13737019,9411008,9411009,268152759,14202594,254681769,254313229,2413266,4027194,6419290,9763182,9763184,13720941,9398818,9398816,13720906,13737377,9411261,9411260,6166123,6166121,6165960,3858200,3858197,6165889,6165885,9410969,13720434,9398426,9398427,6158012,3853130,2308462,1339337,1339341,2308474,3853151,2336306,1354142,1354143,2336309,3900893,6157308,6230533,3900830,2336272,2336273,3900836,6230542,6157907,6157905,6144173,6144171,9378967,6257501,3917305,3917306 Dl.O(d2) = 256286308,9798682,9798681,10816644,10816646,15630653,19899224,14923526,10262056,6743463,6743462,7977229,5076542,267763034,6938135,4359905,2612406,2612407,254324222,267957814,16103182,255056586,4689987,2825961,1639589,932360,932359,1639573,2825675,1639448,932313,932310,1639441,2825657,2825776,4689530,4689529,7420992,4689580,4689579,4689585,4689586,4701899,7441406,11215094,11184404,7421024,7421027,10810234,15464262,16142882,16101157,11183835,7420655,7420656,11183837,11184232,7441945,4702205,2832796,1643453,1643454,2832799,4702213,7441958,7441873,7441875,11215770,16101079,16142782,16144296,22287805,22286774,22286773,22166229,16043651,11139966,7388925,7388923,11139959,16043643,22166222,23381142,22287065,22286846,22286847,22288108,267829798,11215889,16142866,11214633,7441112,7441111,11214631,10679838,10679839,15447001,11294334,11294335,16245444,22408788,22288024,16144289,11215815,7441913,7441914,11215817,16144293,16037322,16037323,15348164,10602356,6995227,6995230,10602359,15348168,21318858,22251638,29601413,23205500,255457856,29638818,22287068,22287070,28802859,254350378,16127712,16127713,22268795,29619851,38186990,38147042,29580938,22233222,16142790,11214560,7441073,4701694,254236901,1643318,2832525,4701700,7441087,8083489,11851526,11214753,11214754,16143045,16950782,11863366,11863367,11215044,11215043,16143391,17111034,12024461,8084102,5179723,3160431,1850127,1055888,1055892,1850119,3160410,254236670,12024401,16122401,11199481,7431198,4695840,2829328,2829329,4695841,255083183,18331680,13013045,8859982,5775008,5775010,8859994,9184936,6011556,6011555,8777837,5832015,3639016,3639015,5832012,8935332,254461621,2382064,1378634,784272,784273,1378639,2382076,3975612,6337765,9640889,14024799,19577469,16618163,11591741,7716310,4883933,4883935,7716313,11591745,11593336,7717299,7717298,268094073,21873336,15798803,10946656,255867927,14202597,18795913,13389199,13389198,13824404,13824405,13389221,9153290,9153291,13389226,9411591,6166233,4005583,4005582,6383801,9705220,9452839,9452838,13020181,9534902,9534904,13895247,19421605,255687060,19174889,13692816,13692818,13824721,9481306,6217078,6217077,9481302,13824714,19332743,19825851,26037516,19359767,13847583,9500902,9500901,13849632,13849654,19362634,13849642,13849641,19362640,26041170,33862924,33858830,26037489,25380705,18795966,18795967,19605817,14048407,14048408,19605821,18796057,13389296,9153323,5990419,3745764,2242101,2242103,3745773,5990429,9153355,13389207,13389204,13389191,9687508,6372311,6372309,9687500,14083849,14201894,13824711,13824710,14201788,14201787,14201876,9762739,9697664,9697665,14048325,9659876,6352250,6352249,9659868,14048312,14048519,14048516,19333286,19333287,26006848,19669309,19669308,19606168,19606169,25886831,19226811,13734947,13734946,13737026,19226565,19226563,13738152,13738150,19230498,19226555,14201607,9762551,9762550,14201600,18521428,18521443,25060007,25060008,19353812,13842096,9494978,9494979,13842103,19227177,19227176,25887130,33693867,26198590,19669470,14099785,14099786,19669471,25462966,19285597,19285596,14099482,14099481,14955302,10288912,6763661,6763662,10288916,14955306,19208831,14201997,9762815,6418959,4027001,4027003,6418967,6419329,4027211,4027209,6419324,9763372,8134894,5212021,3179866,1861332,1861333,3179868,5212028,8134907,12096073,17201135,14049231,14048635,9660110,6352422,6352421,9659887,9452633,6352553,6352552,9660294,268040399,6378302,6378303,9697764,14048472,9659992,9659991,14048470,14048493,9660683,6352781,3986055,2389056,1382968,1382967,2389053,2398144,1387734,1387735,2398148,4001824,6378250,9697689,14099621,9698272,6378610,6378608,9698266,14100267,255304899,9660345,9660346,14048938,19606351,14202389,14202390,13737019,9411008,9411009,268152759,14202594,254681769,254313229,2413266,4027194,6419290,9763182,9763184,13720941,9398818,9398816,13720906,13737377,9411261,9411260,6166123,6166121,6165960,3858200,3858197,6165889,6165885,9410969,13720434,9398426,9398427,6158012,3853130,2308462,1339337,1339341,2308474,3853151,2336306,1354142,1354143,2336309,3900893,6157308,6230533,3900830,2336272,2336273,3900836,6230542,6157907,6157905,6144173,6144171,9378967,6257501,3917305,3917306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135985, s2 = 10830342, dlinesl.size( ) = 2 s1 = 11135985, s2 = 10830342, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11135985, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 11136003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11136003, s2 = 14019446, int(edited[s2]) = 0 s1 = 11136003, s2 = 14019446, d1 = 19, d2 = 8 Dl.O(d1) = 54928876,67254579,63850891,63850892,76001700,63018182,51337143,41151808,32336579,24720397 Dl.O(d2) = 41151814,51337150,41151817,32336583,24720399,255226422,12944341,14110704,9706799,6385032,5987008,3743621,3743625,5986992,3745824,3745818,3855637,3743413,3743411,5986658,9148251,268013972,255623750,261378061,156422324,156422311,272966206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11136003, s2 = 14019446, dlinesl.size( ) = 24 s1 = 13424165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13421060, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11136299, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14103539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8137295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16185131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16185131, s2 = 2762081, int(edited[s2]) = 0 s1 = 16185131, s2 = 2762081, d1 = 0, d2 = 12 Dl.O(d1) = 2439956 Dl.O(d2) = 81063088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16185131, s2 = 2762081, dlinesl.size( ) = 12 s1 = 11136471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11136667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11136667, s2 = 11046704, int(edited[s2]) = 0 s1 = 11136667, s2 = 11046704, d1 = 16, d2 = 14 Dl.O(d1) = 44459747,35084548,26999738,20109601 Dl.O(d2) = 9917995,14419534,15348873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11136667, s2 = 11046704, dlinesl.size( ) = 8 s1 = 11136851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11136851, s2 = 14138642, int(edited[s2]) = 0 s1 = 11136851, s2 = 14138642, d1 = 21, d2 = 11 Dl.O(d1) = 55340069,67679813,81146035,95203451,109458343,123650872,137382103,260184118,173581434,183375817,191938009,183375804,183375805,262393056,263280558,205536068,199303794,191938013,183375798,173581413,162550625,150421884,137382094,123650864,109458337,95203445,81146033,81146032,257705258,123650861,123650869,137382099,150421885,162550627,173581415,183375802,191938015,199303795,205536070,262393054,262393056,263280558,205536068,199303794,191938013 Dl.O(d2) = 262393058,183375819,183375807,183375791,183375792,191938008,199303790,262859030,199303785,263280556,195736236,187773742,265264213,274481646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11136851, s2 = 14138642, dlinesl.size( ) = 8 s1 = 11136861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11136861, s2 = 15104762, int(edited[s2]) = 0 s1 = 11136861, s2 = 15104762, d1 = 0, d2 = 0 Dl.O(d1) = 55341621,58390408,71107208,84670440,74697133,61903512,61903510,50413010,40378427,31684733,31684734,31684736,24176292,255197797,8555926,5552857,5552856,8555924,12606940,17808200,256039969,24176285,256546769,48469585,269821099,72598290,78535434,65245201,59121953,48469578,42802906,42802907,53255652,65245198,53255639,42802886,42802885,42802873,33770973,33770972,42802871,33770975,33770974,42802875,42802869,42802868,42802877,257238719,33770981,25961787,19296325,13796126,255289481,255289483,13796129,13796128,19296329,25961794,25961808,25961807,33771011,42802920,42802901,33770994,25961804,19296336,19296335,25961802,33771003,42802911,37038630,28539976,21316436,15345422,15345412,15345411,21316417,28539949,37038601,46916302,258042415,58281815,58281816,70996485,75427318,75427319,70996482,58281814,46916339,46916338,58281812,62508341,50907948,258316443,84559956,70996441,58281782,46916306,46916307,269777503,84559961,84560006,70996481,70996480,70996501,58281826,58281824,70996497,84560025,98482617,103264458,259524035,259281854,84559978,84559977,98482620,258323842,102354699,112473787,98482632,84559991,84413487,84413486,70855927,70855926,70996472,70996471,84559994,88358474,88358473,74730166,61936546,50445838,40411982,40411981,50445835,61936540,74730155,88358469 Dl.O(d2) = 55341621,58390408,71107208,84670440,74697133,61903512,61903510,50413010,40378427,31684733,31684734,31684736,24176292,255197797,8555926,5552857,5552856,8555924,12606940,17808200,256039969,24176285,256546769,48469585,269821099,72598290,78535434,65245201,59121953,48469578,42802906,42802907,53255652,65245198,53255639,42802886,42802885,42802873,33770973,33770972,42802871,33770975,33770974,42802875,42802869,42802868,42802877,257238719,33770981,25961787,19296325,13796126,255289481,255289483,13796129,13796128,19296329,25961794,25961808,25961807,33771011,42802920,42802901,33770994,25961804,19296336,19296335,25961802,33771003,42802911,37038630,28539976,21316436,15345422,15345412,15345411,21316417,28539949,37038601,46916302,258042415,58281815,58281816,70996485,75427318,75427319,70996482,58281814,46916339,46916338,58281812,62508341,50907948,258316443,84559956,70996441,58281782,46916306,46916307,269777503,84559961,84560006,70996481,70996480,70996501,58281826,58281824,70996497,84560025,98482617,103264458,259524035,259281854,84559978,84559977,98482620,258323842,102354699,112473787,98482632,84559991,84413487,84413486,70855927,70855926,70996472,70996471,84559994,88358474,88358473,74730166,61936546,50445838,40411982,40411981,50445835,61936540,74730155,88358469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11136861, s2 = 15104762, dlinesl.size( ) = 2 s1 = 11136861, s2 = 15104762, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11136861, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15104761, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3318352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16193118, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11137177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137177, s2 = 11178022, int(edited[s2]) = 0 s1 = 11137177, s2 = 11178022, d1 = 0, d2 = 11 Dl.O(d1) = 55401948,67740995,81205701 Dl.O(d2) = 258709600,25540014,18927593,13493408,13493407,18927590,257797913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137177, s2 = 11178022, dlinesl.size( ) = 8 s1 = 8059015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8059015, s2 = 6793583, int(edited[s2]) = 0 s1 = 8059015, s2 = 6793583, d1 = 20, d2 = 19 Dl.O(d1) = 19649737,19649738,14489365,14489364,20193971,27092802,35181590 Dl.O(d2) = 258538457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8059015, s2 = 6793583, dlinesl.size( ) = 2 s1 = 8059015, s2 = 6793583, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 8059015, Dl.E( ) = 22, 2.38e-05 seconds used appending s1 = 11137303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137303, s2 = 11247784, int(edited[s2]) = 0 s1 = 11137303, s2 = 11247784, d1 = 5, d2 = 8 Dl.O(d1) = 257919479 Dl.O(d2) = 261159450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137303, s2 = 11247784, dlinesl.size( ) = 14 s1 = 11137507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137507, s2 = 14311857, int(edited[s2]) = 0 s1 = 11137507, s2 = 14311857, d1 = 25, d2 = 31 Dl.O(d1) = 256836248,46828762,58194727 Dl.O(d2) = 32746956,25055830,25055831,32746957,41657431,258093709 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137711, s2 = 13994963, int(edited[s2]) = 0 s1 = 11137711, s2 = 13994963, d1 = 14, d2 = 22 Dl.O(d1) = 254636704 Dl.O(d2) = 8762167,8762162,9713571,14118535,19691152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137711, s2 = 13994963, dlinesl.size( ) = 2 s1 = 11137711, s2 = 13994963, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11137711, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 14588351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13423414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13423414, s2 = 11229500, int(edited[s2]) = 0 s1 = 13423414, s2 = 11229500, d1 = 7, d2 = 3 Dl.O(d1) = 55674042,44764754,44764753,55674040,68072917,61411822,49933191,49933192,61411823,74190862,61766929,61766930,74550845,88166177,102157530 Dl.O(d2) = 101766797,87794457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13423414, s2 = 11229500, dlinesl.size( ) = 8 s1 = 11137953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137953, s2 = 11211326, int(edited[s2]) = 0 s1 = 11137953, s2 = 11211326, d1 = 70, d2 = 46 Dl.O(d1) = 44784333,35360555,35360550,27237864,20307907,20307909,27237868,27237899,20307927,14573858,10028426,10028424,254153060,20018546,14337550,254073638,4053596,3767760,3767761,3767796,2257493,2257491,2454958,254071654,6551503,4909957,2959540,254070452,7752571,6020524,254071616,4053670,2470504,1427978,812250,812251,1404184,1310187,1310188,2257463,3767746,6022563,9198646,9849843,254203836,6010750,3759460,254112794,9762055,9762056,8480647,8480646,8988965,8988963,13186643,13182028,8985523,5866176,3662405,2191427,2191428,3662411,5865785,3662111,3662109,5865780,5866521,254112070,254093094,18796591,18575205,18575204,25101462,18552980,13186774,13186775,9737380,6403293,6403296,9737386,8998705,254145410,2195817,254112042,5874946,8998711,13200324,18558873,13187621,8989824,5869371,254093070,12052218,13200502,254093072,14576822,254295084,13463309,9206867,6027578,3770910 Dl.O(d2) = 257509387 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137979, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14542470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15224701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138281, s2 = 14275959, int(edited[s2]) = 0 s1 = 11138281, s2 = 14275959, d1 = 14, d2 = 9 Dl.O(d1) = 256241935,27300662,35433147,44871869,35433078,35433077,40517223,35433074,27300608,23172183,23172182,30590704,39188276,49116879,39188290,30590723,30590722,256012664,31294120 Dl.O(d2) = 49984525,39969492,31295127,31295126,254848226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138281, s2 = 14275959, dlinesl.size( ) = 2 s1 = 11138281, s2 = 14275959, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11138281, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 6795559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138435, s2 = 11361738, int(edited[s2]) = 0 s1 = 11138435, s2 = 11361738, d1 = 22, d2 = 9 Dl.O(d1) = 257297612,14813068 Dl.O(d2) = 257985149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138435, s2 = 11361738, dlinesl.size( ) = 2 s1 = 11138435, s2 = 11361738, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11138435, Dl.E( ) = 24, 9.78e-06 seconds used appending s1 = 14862792, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9187376, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11138545, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13424578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13424578, s2 = 16308506, int(edited[s2]) = 0 s1 = 13424578, s2 = 16308506, d1 = 11, d2 = 33 Dl.O(d1) = 70314548,57623882,46279260 Dl.O(d2) = 101754958,87781511,87781512,98437898,84516532,70953030,61198761,49720365,256496958,23543315,23543316,17260674,17260673,23571854,31055182,37727532,29167513,29167515,31499768,24001761,24001740,24001741,21038065,21038062,27021799,35107703,256201890,67670462,81136690,95194100,109449179,123641838,133612694,119739043,270139310,91278529,105500653,119739044,133612696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13424578, s2 = 16308506, dlinesl.size( ) = 2 s1 = 13424578, s2 = 16308506, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13424578, Dl.E( ) = 36, 1.69e-05 seconds used appending s1 = 11138825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138825, s2 = 12426876, int(edited[s2]) = 0 s1 = 11138825, s2 = 12426876, d1 = 119, d2 = 13 Dl.O(d1) = 257996605 Dl.O(d2) = 57862075,70563619,259885047,125728462,120842559,106594246,92296032,92296031,106594243,92296033,78268808,64995236,53019979,42579779,33563072,25773762,25773763,33563070,25773759,19133649,19133650,25773760,33563071,38809657,48730072,60124907,65567494,53542680,43063554,34005735,34005734,30103451,30103452,38680624,48596907,59988830,72726196,86323683,258012946,128198799,141555148,154216464,165973466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138825, s2 = 12426876, dlinesl.size( ) = 42 s1 = 11139019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15485647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11850098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11139171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11139207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139207, s2 = 10521386, int(edited[s2]) = 0 s1 = 11139207, s2 = 10521386, d1 = 0, d2 = 53 Dl.O(d1) = 57727837 Dl.O(d2) = 239251795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139207, s2 = 10521386, dlinesl.size( ) = 62 s1 = 11139381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139381, s2 = 11118462, int(edited[s2]) = 0 s1 = 11139381, s2 = 11118462, d1 = 3, d2 = 10 Dl.O(d1) = 258004991 Dl.O(d2) = 100921301,258171902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139381, s2 = 11118462, dlinesl.size( ) = 14 s1 = 11139641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139641, s2 = 11010096, int(edited[s2]) = 0 s1 = 11139641, s2 = 11010096, d1 = 11, d2 = 24 Dl.O(d1) = 57814380 Dl.O(d2) = 41873792,32940738,32940739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139641, s2 = 11010096, dlinesl.size( ) = 26 s1 = 11139671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139671, s2 = 11052944, int(edited[s2]) = 0 s1 = 11139671, s2 = 11052944, d1 = 12, d2 = 20 Dl.O(d1) = 46464040 Dl.O(d2) = 33686506,25880212,25880213,26164912,27286967,27286968,28109108,20932513,20932514,20340987,20340988,14944247,10278738,6755348,6755347,10278735,11955015,9090211,5946730,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,7451145,11229257,13283958,15050396,20338679,254481392,10043835,14406153,255005394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139671, s2 = 11052944, dlinesl.size( ) = 24 s1 = 11139873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140005, s2 = 11140090, int(edited[s2]) = 0 s1 = 11140005, s2 = 11140090, d1 = 33, d2 = 28 Dl.O(d1) = 256288329 Dl.O(d2) = 255011555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140005, s2 = 11140090, dlinesl.size( ) = 24 s1 = 11140089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140089, s2 = 11140006, int(edited[s2]) = 0 s1 = 11140089, s2 = 11140006, d1 = 14, d2 = 27 Dl.O(d1) = 255011554 Dl.O(d2) = 46580901,36694598,255373972,256288328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140089, s2 = 11140006, dlinesl.size( ) = 18 s1 = 11140245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140641, s2 = 11028908, int(edited[s2]) = 0 s1 = 11140641, s2 = 11028908, d1 = 26, d2 = 25 Dl.O(d1) = 58067277,70784941,72999298,60263809,48871098,48871099,60263812,72999303,74482587,74482560,61699561,61699562,58113830,46744069,46744070,58113831,256555736,84426359,74817983,71981743,59244695,59244694,47848254,41537993,257163415,43223620,257751453,41537995,32649846,24977949,24977948,24977957,31882515,24356050,24356051,31882516,258446814,10906472,7213279,7213282 Dl.O(d2) = 438271,771432,1351926,1351929,2332744,3894731,2332117,2332119,3894741,255699165,33835123,42877849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140641, s2 = 11028908, dlinesl.size( ) = 20 s1 = 11140667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140667, s2 = 11016454, int(edited[s2]) = 0 s1 = 11140667, s2 = 11016454, d1 = 2, d2 = 6 Dl.O(d1) = 46699539 Dl.O(d2) = 257067022,845082,845083,254221969,4327330,6893552,10458075,254877696,4327860,6894520,10459578,15166519,21112671,28319438,28322206,21112097,15165996,10459161,10459162,10458530,6893812,4327457,2588874,1492402,1492403,2588878,4327466,6893824,10458543,15165217,21111302,28321532,36817426,32821780,25117672,18566831,18566832,25117673,28322034,21113324,21113325,28321919,28321918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140667, s2 = 11016454, dlinesl.size( ) = 8 s1 = 11140801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140801, s2 = 11119046, int(edited[s2]) = 0 s1 = 11140801, s2 = 11119046, d1 = 17, d2 = 34 Dl.O(d1) = 256212026 Dl.O(d2) = 254969458,6905200,6931885,4355248,4355249,6931858,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574609,254521408,254800680,26386045,19651542,19651543,21712031,15669566,10847701,7171355,7171356,10847702,15669568,254799584,20168041,27061926,30170215,22781381,16565854,11547556,9695063,9695060,13066155,13066160,11549943,7684344,7684341,11549941,16566757,16566758,16073040,16073041,11839261,11839258,10384571,10384574,11161267,8088754,8086371,8086372,12028082,12028085,12028313,16377886,16377888,17121521,17121523,22555402,19833105,16431367,11446461,11446460,12033056,8089479,5182744,3162068,3162066,5182737,8089466,12033023,13932101,13932102,19467188,22780071,16663918,11630500,7747820,4906513,2957304,254367027,7747817,11630497,16663911,256991847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140801, s2 = 11119046, dlinesl.size( ) = 8 s1 = 11141029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11141029, s2 = 11241458, int(edited[s2]) = 0 s1 = 11141029, s2 = 11241458, d1 = 3, d2 = 1 Dl.O(d1) = 268634314,84412854,98322402,103826241,258964627,62960365,62960364,75941853 Dl.O(d2) = 58326668,71042237,62960362,51284987,41105101,41105102,51284990,62960368,58326663,46959345,46959347,58326669,71042238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11141029, s2 = 11241458, dlinesl.size( ) = 2 s1 = 11141029, s2 = 11241458, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11141029, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11141045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11141045, s2 = 11321210, int(edited[s2]) = 0 s1 = 11141045, s2 = 11321210, d1 = 21, d2 = 18 Dl.O(d1) = 46775339,36897361,36897362,28408638,21187334,15224984,15224985,21187335,28408639,36905997,33020959,33020961,36905237,29498800,29498801,38061508,255263304 Dl.O(d2) = 260873798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11141045, s2 = 11321210, dlinesl.size( ) = 20 s1 = 11141387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11141387, s2 = 10858171, int(edited[s2]) = 0 s1 = 11141387, s2 = 10858171, d1 = 7, d2 = 9 Dl.O(d1) = 258034967,84463840,259905651,126214849,139589089,152317666,164200120,165998728,165998731,175014986 Dl.O(d2) = 154245173,154245172,154245170,154245171,165998728,154245176,261056550,139589096,126214857,259981964,84463842,84463840,259905651,126214850,139589091,128238258,128238259,141588560,154245175,165998729,175014988,164200124,260477402,260477400,141588556,128238257,114361229,258006164,86379579,100336703,259256814,141588554,128238257,114361229,258006164,72783555,72783556,86379581,100336704,114361224,259875724,139589094,126214857,259981964,84463842,84463840,259905651,126214849,139589089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11141387, s2 = 10858171, dlinesl.size( ) = 12 s1 = 14192682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15987027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11141593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11141593, s2 = 10528760, int(edited[s2]) = 0 s1 = 11141593, s2 = 10528760, d1 = 18, d2 = 17 Dl.O(d1) = 261089101,152373825 Dl.O(d2) = 241815174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11141593, s2 = 10528760, dlinesl.size( ) = 16 s1 = 13428234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11142011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13428790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11142159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142159, s2 = 11142738, int(edited[s2]) = 0 s1 = 11142159, s2 = 11142738, d1 = 16, d2 = 40 Dl.O(d1) = 46966788 Dl.O(d2) = 255398715,256318521,46966786,58334630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142159, s2 = 11142738, dlinesl.size( ) = 40 s1 = 11142197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11142265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142265, s2 = 10592054, int(edited[s2]) = 0 s1 = 11142265, s2 = 10592054, d1 = 9, d2 = 21 Dl.O(d1) = 46986542 Dl.O(d2) = 256674963,25860069,25860070,33666375,42697276,271768758,260908447,132073433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142265, s2 = 10592054, dlinesl.size( ) = 20 s1 = 11142343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142343, s2 = 11274886, int(edited[s2]) = 0 s1 = 11142343, s2 = 11274886, d1 = 20, d2 = 27 Dl.O(d1) = 259299603 Dl.O(d2) = 268271975,18095897,256065773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142343, s2 = 11274886, dlinesl.size( ) = 28 s1 = 14192738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11851318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11142739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142739, s2 = 11201896, int(edited[s2]) = 0 s1 = 11142739, s2 = 11201896, d1 = 12, d2 = 9 Dl.O(d1) = 256324123,28659082,37178322,40271797 Dl.O(d2) = 19376185,26057700,27266432,257838889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142739, s2 = 11201896, dlinesl.size( ) = 14 s1 = 11142909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142909, s2 = 11421396, int(edited[s2]) = 0 s1 = 11142909, s2 = 11421396, d1 = 10, d2 = 7 Dl.O(d1) = 47108341,37211602,28687225,21437125 Dl.O(d2) = 255924067,22605872,268952195,261197763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142909, s2 = 11421396, dlinesl.size( ) = 2 s1 = 11142909, s2 = 11421396, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11142909, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11142947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142947, s2 = 11351524, int(edited[s2]) = 0 s1 = 11142947, s2 = 11351524, d1 = 48, d2 = 51 Dl.O(d1) = 269782283,98712387 Dl.O(d2) = 151773781,261066431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142947, s2 = 11351524, dlinesl.size( ) = 12 s1 = 11142977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142977, s2 = 11024176, int(edited[s2]) = 0 s1 = 11142977, s2 = 11024176, d1 = 8, d2 = 11 Dl.O(d1) = 58497776,53148514,257232454,256157654,41021477,32229900,255693780,12891904,12891903,18178339,19332483,19332482,19594212,14039475,254151542,26319943,32197350,24808942,18320513,13109057,8934339,5831482,3638780,2174508,1259528,1259525,2174524,3638982,5831925 Dl.O(d2) = 6011555,8777840,8917529,8935428,8935425,13110750,13804818,9466770,9466767,13804805,18219664,12922943,12922942,18219661,24686597,24973287,32644820,41532470,51811642,268159106,38639223,256971541,51332045,54610645,54610643,43867845,34597422,34597421,43867843,54610640,53109334,42657502,257230015,52452670,42099927,33145828,25405653,25405654,256639957,52452674,63129994,75429152,89176248,75429148,71281628,58550152,256979916,28724719,21467979,21467978,28724718,37256270,42724245,255586550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142977, s2 = 11024176, dlinesl.size( ) = 8 s1 = 11024175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024175, s2 = 11142978, int(edited[s2]) = 0 s1 = 11024175, s2 = 11142978, d1 = 6, d2 = 1 Dl.O(d1) = 255586551,24159124,31668564,30167498,22778553,22778554,30167499,256979917,60068449,72806120,70908519,58195845,46829927,36951879,36951878,256639956,21721636,21721635,29007769,37553545,47460973,257230014,42355405,52754820,54610631,43867839,34597418,34597419,43867841,54610634,54610636,53533166,256971540,26152786,268159107,3925752,2350224,1361496,1361497,2320083,2320082,2308980,1363508,777059,777060,441099,441101,248956,248957,441730,439581,439580,774170,771654 Dl.O(d2) = 438387,438383,442012,447631,251844,138975,138978,251855,447670,790532,1390195,2308960,1389509,790172,254151543,2401364,4007110,6385870,9707801,14111778,13755615,13755616,255693781,25860766,19203596,256157655,257232455,65133462,78415077,258058264,86687695,73083641,60343982,48947117,48947116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024175, s2 = 11142978, dlinesl.size( ) = 8 s1 = 10579488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10579488, s2 = 14026663, int(edited[s2]) = 0 s1 = 10579488, s2 = 14026663, d1 = 33, d2 = 35 Dl.O(d1) = 33983709,28728785,28728784,37057167,28556520,21330960,21330959,21497524,21497523,28756898,37057135,41133013,37211411,28756648,21497217,21497218,26143898,26143897,33983727,37260698,37057128,37057129,37290565,37290573,28756672,26143943,19446698,19446699,26143950,24704782,18234006,18234005,24704776,28007388,20842743,20842737,20842739,20842755,26143850,33983677,26143930,26143931,26143913,26143912,33983742,37057138,33983715,26143889,26143879,19446655,19446654,26143876,28756991,28756990,37057173,36466205,28007393,28007395,32319236,32319234,41133009,37290556,37290541,37290540,47198771,37290534,28756687,28756689,28756661,21497224,15490602,15490603,15490613,15490614,13916018,13916017,19446702,18234011,12933562,12933564,18234018,20842752,14943037,10277614,10277616,13915988,13915987,19446640,19446693,19446692,19446687,19446686,26143921,21330949,21330950,19446670,13916001,9551203,9551205,13916006,19446680,21497619,28756777,28756779,36466199,36466201,37290594,43041198,33983695,33983693,37290590,28756695,21497249,15490629,10712056,10712057,15490632,15490609,10712046,7076803,7076804,10712052,9551214,9551215,13916027,18233999,12933556,12933555,18233994,17602988,17602987,23948564,26143848,19446629,19446627,26143845,26143936,26143935,23948570,23948571,21497297,15490675,15490676,19446647,15490970,10712291,10712290,15490963,21497199,15490712,15490710,21497354,28756784,28757128,37290794,28756989,28756975,21497608,15490952,15490951,21497307,21497344,15490934,10712269,10712271,10712074,7076816,4455319,4455318,7076812,10712068,13916014,15490767,21497418,18233985,18233983,24704745,21497460,21497378,15490980,13915993,13915994,19446652,26143870,23948584,17603003,12425115,12425114,17602999,21497209,15491002,15490545,15490546,21497161,21497176,21497363,15490720,10712120,10712119,15490716,15491171,21497786,21497790,28756967,21497600,15490944,10712282,10712283,15490584,10712275,7076941,4455386,4455387,7076829,4455328,2676462,2676463,4455332,7076835,10712087,10712152,15490771,15490802,15490784,15490783,21497383,15490736,15490737,15490647,15490649,15490897,15490896,17603009,12425121,8397763,8397762,10712040,7076800,7076769,7076770,10711999,15490554,21497165,15490723,10712126,7076858,7076859,7077052,7077051,10712465,15491177,21497795,21497309,21497310,21497140,15490988,10712303,7076959,4455397,2676497,2676498,2676505,2676471,1550351,1550352,1550355,2676477,4455351,7076874,7076895,10712187,10712163,7076883,7076884,10712135,10712136,15490579,10712586,10712234,7076913,4455373,4455372,5419139,5419138,4455307,2676455,2676453,254502715,4455295,7076761,10711986,15490525,15491333,15491163,10712454,7077040,4455460,4455461,7077044,4455484,4455485,7077095,10712431,10712432,15491136,15491307,15491344,10712599,7077151,4455517,2676569,1550389,881413,497339,497338,881408,1550381,2676517,2676518,4455428,7077000,10712368,15491061,10712388,10712389,15491081,21497724 Dl.O(d2) = 37260941,47166795,58488064,58488065,60581783,58555837,47167138,39256421,31638392,24131194,17767784,12573680,12573681,17767789,24131203,31638412,40328061,46975137,46975135,46963582,46963583,42673994,42673995,37092029,37092030,28728917,28728908,28728910,28586195,28586196,37092016,37092014,46975038,40328122,31638484,31638486,38684709,37085031,28580531,28580533,37085037,37260949,28728971,21471618,21471620,28728975,37092066,28729199,28729200,37261242,47110022,47110016,47110017,37261020,37261019,47166874,50355271,40328032,31638379,24131187,24131186,31638374,31638406,40328055,31638660,31638659,37156376,28640634,21400055,21400054,25841294,28728922,21471581,15469191,10696317,7066475,7066474,10696314,15469180,21471573,28728904,32499963,24857975,18361332,18361331,21351037,15375013,15375014,21351009,28578328,37082590,31358639,31358638,37082580,31637970,31637972,40327549,37213161,28688594,21438174,15443149,15443125,15443127,21438138,21438153,28688567,33644680,28552363,28552364,25336539,25336537,25336577,25336576,33066095,33644689,25841319,19187556,19187543,13703258,13703257,11514555,10696337,7066482,4449145,4449144,7066477,10696325,15469202,21355492,15378501,15378500,21355486,21351053,15375027,10624240,7012006,7012005,10624233,12354990,17520416,23864690,31358646,40038621,32751878,32751877,28688604,21438183,15443152,10676732,7052179,7052178,10676725,15443141,21438165,25841311,25841309,25336548,18756960,18756957,15378548,15378550,21355564,25841336,19187565,13703272,9385544,6148785,6148781,7659568,7066500,4449152,2672962,2672964,4449162,7066528,10696409,15469318,21471805,28729235,37261274,47167194,47732975,37810764,29246108,21925983,15839742,10976501,10976500,268935011,20144256,20144257,27037105,20144245,20144244,27037101,24809463,24809468,32444100,39100339,31618480,24113203,17752511,12560965,12560966,14544094,14544095,20271187,27197610,35321097,28147612,28147611,34563274,34563275,28307329,28307330,36804201,46688299,58061519,58061453,46688223,46688224,58061455,51497908,41283573,269311506,36778177,46663461,257183315,38184037,256937457,42201190,33240244,25490670,25490671,256646877,38220581,37309408,37309409,28775608,28775607,37309411,47215629,41469439,32592409,32592408,41469437,39864551,38922800,256140920,41961118,41961119,50286095,50286094,47382234,47382233,58769364,256564870,95285803,81228156,67761987,55421993,44574740,44574739,257571938,46496533,39419497,30814323,23385250,17114096,17114095,23385247,30814317,39419493,46578202,36691865,255801000,255011880,15090019,10407596,6860535,6860534,10407595,12039804,267903971,3163590,3163592,5185539,8094072,12039814,17132130,17132037,12039754,8094032,8094031,8094051,8853712,8853713,13004673,13004684,13004686,18320611,23405932,18320586,13004668,8853708,5770479,5770480,8853711,12039806,17132117,17132090,12039785,8094049,5185525,3163585,3163586,5185528,8094055,12039790,16031568,16031569,17132051,12039763,8094037,5185518,5185517,8094035,12039759,17132045,17132136,12039822,8094079,5185542,5185540,8094074,12039771,17132065,23405944,30834805,30834837,30834802,23405936,17132056,17132057,23405917,17132031,12039751,12039752,17132034,17132063,12039769,8094040,5185519,3163581,1851915,1851916,3163583,5185522,8094045,12039776,17132073,22172237,16048196,11143158,11143156,16048193,17230665,12112621,8144192,8144193,12112623,8144199,8144197,12112627,17230672,23538569,23538572,23538571,22172270,16048220,16048221,22172278,22172213,16048177,11143142,7391147,7391145,11143140,16048173,22172209,29513623,38078098,38078102,38078103,47990796,47990795,59380849,72113510,85699639,85877433,72285400,59551291,59551290,59551347,72285459,85877487,99647908,85877436,85877437,99831286,85877456,72285420,59551307,59551308,72282787,59548349,59548350,59380857,59380859,59551315,59551331,72285447,85877474,99599259,99599260,99599270,85649637,72062626,59328492,47936894,38023243,29461275,29461274,38023241,47936891,59328486,72062617,71904045,63867339,52047975,47936887,38023239,29461273,254316578,16012140,22126725,29461278,38023250,31798003,24284069,17903356,17903357,24284071,31798006,40492957,257522784,59539518,48153119,38244242,29679417,29679418,38244243,48153120,59539519,72273118,60697009,49295612,39368227,39368228,49295615,60094596,66016780,53946730,53946729,66016779,73358670,60614118,49213555,49213556,60614120,73358673,71996022,59259552,59259553,71996024,77963432,72831832,60094581,60094582,59259546,47863535,42444918,42444919,42444927,33452005,25680727,19058031,13605320,9316309,6102812,6102813,9316312,12644648,12644647,17854969,13605334,9316318,6102816,6102817,9316320,13605336,19058049,19058075,25680792,33452084,42445017,52849085,52849087,47667481,255808734,31324479,31324478,40002147,40474359,31779702,31779703,24267139,24267140,23833858,17494988,12335545,8333349,5378458,5378459,8333351,12335549,13246215,9035448,5903050,5903052,9035450,13246218,267775588,32903505,41828195,52146255,267920192,254888162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10579488, s2 = 14026663, dlinesl.size( ) = 2 s1 = 10579488, s2 = 14026663, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10579488, Dl.E( ) = 36, 2.29e-05 seconds used appending s1 = 11143117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143117, s2 = 11299498, int(edited[s2]) = 0 s1 = 11143117, s2 = 11299498, d1 = 10, d2 = 7 Dl.O(d1) = 254925876,267811930,14361720,12370003,12370001,12405478,10017011,6584299,6584296,10017377,6584113,4125271,2467873,2467773,2467774,4125101,6583819,10016908,14557137,20287089,23046738,20286611,14556696,14556697,20286614,17156420,12059838,10016749,6583725,6583726,10016754,12396739,12396738,17568361,12400457,8380456,267998991,16801453,15847062,10982300,7269365,4584281,2758094,2758096,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,5873960,5873962,5409101,5409099,8381838,12402460,17161610,17161611,12388308,12388306,11825635,7903075,7903074,11825630,15059847,13517050,13517048,17566723,17566722,17386048,12691830,12691831,17580852,17558298,12387532,12387533,17558301,20906413,255150828,12272655,12272657,17414072,23738942,31222448,31336450,254485408,18940397,13504331,9239502,9239503,13504332 Dl.O(d2) = 257207945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143117, s2 = 11299498, dlinesl.size( ) = 8 s1 = 13430538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13430538, s2 = 10783147, int(edited[s2]) = 0 s1 = 13430538, s2 = 10783147, d1 = 5, d2 = 1 Dl.O(d1) = 58602120,47212820,37306162,28772325,28772324,37306159,40161025,38743926,38743925,40164518,254601786,254421886,15501325,10720160,7082447,4459058,4459057,7082443,10720153,15501311,21510599,28771760,22486156,16313906,11350320,11350324,16313912,21510611,25405942,18815827,13404418,9164289,9164285,13404411,18815812,25405951,33146194,42100242,268114098,256124479,33145437,25405265,18815347,13404148,9164134,5997829,5997828,9164132,13404144,18815339,18892987,256745343,20113762,17892862,12674083,12674082,9967790,9967793,9978750,8390632,5414471,3328302,1957347,1118042,627292,627291,1118040,1957343,3328295,5414456,8390605,12414324,17587623,255752997,35200850,31418961 Dl.O(d2) = 33053204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13430538, s2 = 10783147, dlinesl.size( ) = 14 s1 = 11143513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143513, s2 = 11047202, int(edited[s2]) = 0 s1 = 11143513, s2 = 11047202, d1 = 12, d2 = 0 Dl.O(d1) = 256334366,21527658,255040721,7089741,10730288,15514971,255842483,22817769,21179155,15218749,10497866,10497865,15218746,21179151,28399481,258656223,73983551,61204156,255167572,23548630,21705533,19863013,14230802,9782755,9782758,12732783,8652169,8652168 Dl.O(d2) = 3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,7160196,7160197,10831766,15649324,255473392,21688207,21688206,28970037,23059530,16811935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143513, s2 = 11047202, dlinesl.size( ) = 20 s1 = 11143543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143543, s2 = 14980078, int(edited[s2]) = 0 s1 = 11143543, s2 = 14980078, d1 = 10, d2 = 6 Dl.O(d1) = 269338760,98874400 Dl.O(d2) = 140060710,261168186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143543, s2 = 14980078, dlinesl.size( ) = 18 s1 = 14060335, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11143677, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13430952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15920107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15920107, s2 = 13430951, int(edited[s2]) = 0 s1 = 15920107, s2 = 13430951, d1 = 0, d2 = 0 Dl.O(d1) = 91216728,260681163,142513813,142895647,138834116,138834117,146812484,133553631,133553630,136791632,271528024,260469505,138834009,151536750,163420174,159187500,159187501,165230775,165230776,163420195,159187321,146812050,133553182,133553181,138846474,138846475,133553328,119677902,119677900,133553323,260119320,129136620,129136621,271114886,156119579,143583346,130254667,116417423,260746971,143583344,130254683,116417439,102324804,102324803,116417434,119678279,115694471,101650944,87679661,74072680,74072678,87679654,101650938,115694464,129580183,142895637,146812058,133553195,259739100,99511415,85564550,71977418,59239985,258108821,85564553,99511419,113522891,113522902,259899666,71977422,71977423,85564561,99511431,113522908,113522943,127393021,140748878,133553051,119677651,113522940,113522894,99511421,85564554,71977420,71977421,85564556,99511424,91216696,77296308,77296300,64147162,64147163,77296303,91216683,105439228,119678028,119678314,133553807,137261467,123530538,123530535,137261461,133553618,133553619,146812474,260360964,125502387,260356813,107827910,97775107,83916909,83916910,97775109,111696567,125502366,121078508,258478438,143583359,130254686,116417446,102324808,102324807,116417444,118027666,129580149,129580150,115694466,101650939,87679655,87679653,101650936,115694461,115888505,115888506,129786658,133553432,119677964,119677963,125502156,133553365,129580080,129580081,138834075,125502169,111696415,97775020,83916854,70390794,70390791,83916845,97775004,111696394,260855151,105439190,105439189,119677967,133553435,142513935,129136691,115204998,115204999,101127134,87128869,73509922,60760808,60760809,64147171,77296331,91216734,105439318,119678158,115204970,101127094,91216784,91216785,105439420,119678301,125502357,125502358,133553076,119678122,119678119,111696444,111696443,119678234,133553710,259739098,119677802,105439082,91216575,91216574,105439078,119677794,126166958,112306213,98323317,84413676,70856168,58141924,46774091,36895959,28398464,21178173,15217966,15217967,21178174,28398451,30922641,30922643,39533781,269377539,49468082,49468086,60871837,73533887,73533886,257613069,39457591,30853458,23422773,23422774,30853460,39457595,49385605,258220577,87152553,101150527,101713049,87738682,74132806,61351038,61351037,74132805,87738681,85933654,72340005,72340004,71640791,58919549,58919550,71640793,85206082,85206081,81080142,67612766,67612765,256967956,67610149,55268895,44421535,35049920,26968710,26968711,35049921,35046982,26966205,26966206,35046983,44421538,55268898,67610151,81078006,259784671,109390773,258157678,95138124,81080158,67612777,67612776,81080156,95138122,84976477,84976476,85394338,85394341,71806304,71806305,70399831,57705845,57705846,70399833,83926052,95138115,97784817,83926042,268923876,83926036,83926037,97784816,257458064,57705843,57705842,70399817,59683901,48297509,38387229,38387228,47276432,58668019,59683897,256878084,47536827,37631179,256878068,37631171,37631172,47536817,58917703,60839963,49438271,49438270,268617468,39507300,30899787,23466074,23466073,30899784,39507295,49438234,60839924,49438258,39507311,30899794,30899795,268617470,49438252,39507308,39507307,49438249,49438266,60839943,73589626,85202944,72524791,60839932,60839931,267884216,59789786,267965462,73589633,72524788,72524787,60839956,52719203,254504472,33350401,38499750,38499749,37366450,28826184,28826157,21555355,21555354,15535019,10743894,7098462,7098463,4794859,2890318,1677563,954417,538124,301682,167054,91965,50746,28517,254069200,47510,86473,157368,284768,507831,254070550,2732544,1583421,1583420,2732546,4545595,3004745,1745066,1745067,3004747,2890316,2890315,2712870,1571526,893490,893491,1571528,1745382,3005082,2890607,1677821,1677822,2890497,1677699,1677698,2890495,2692031,2692029,1746343,1745098,1745097,1745096,3004772,1746351,993054,993055,1746354,3006153,4581864,2756612,1597992,908427,512312,287187,158753,158752,287185,512309,881295,497276,497281,881310,1019164,574314,574315,1019171,1787456,3066440,5061373,3283640,1931184,1103246,1103247,1931189,3283653,5342510,8280497,8373021,11825418,8403643,5422689,5422688,8403653,12434360,17616328,23966522,23913149,23898924,17553739,16561443,12384294,12278810,8292483,5349850,5349851,5349835,5349836,8292448,12278752,254205554,254205552,23911359,22518768,22518769,20989656,15076436,15076435,15474057,10700488,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,12384307,12384305,13524476,13524477,12088731,12088728,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376666,8376663,7679671,5403617,3322223,1954080,1116332,1116331,1930116,1930114,3281358,3281336,3281337,5338096,8272896,5409642,5409643,4899001,4899000,7737409,11618415,16650728,15876743,11005672,7285608,4594475,2764055,1602204,1602203,1659004,2858549,4743212,7503826,11302399,12517459,12517453,12517452,10975979,7264809,5481584,5481583,7839152,7264823,7264824,10975986,11340812,7839127,7536635,4767531,2873942,2873941,4767528,7536629,10989703,7274923,7274924,10989706,10759944,10759945,254231876,15570693,10770086,7116018,4480408,2692002,1559545,1559544,2691996,4480395,7109226,4476114,2689185,2689183,4476108,7109219,7109108,4475967,2689043,2689045,2692735,2692734,4481627,7117969,10772799,7274755,7274756,7274941,4587946,4587948,5026247,7907218,7916061,7916060,11844465,10815808,7147905,7147904,4587820,2760127,2760129,2691984,2691985,4480383,7115981,4501216,2704870,2704872,4501214,5233147,5233149,4500958,4500957,7147524,10815393,7147783,7147784,267787832,15570616,10769999,10769998,15570614,21579819,15855465,10989533,10989532,10815678,10815677,15629469,267788978,15896622,11019970,7295574,4601127,4601126,7295568,7915701,11020226,11020227,11020206,7295784,7295783,11015284,11015282,15890105,12133146,8163355,8163354,12133143,11409409,7581502,254078214,2890632,4795345,7581500,254121668,11020450,15534608,10743545,10743547,7534450,7534451,4766155,2873137,2873135,4766151,7534455,11337918,16295635,268219053,11019236,11015732,7292420,4598673,4598674,7292423,254518456,7206835,7206836,7292367,7292369,11015675,15890277,11015547,7295699,7295700,11020111,11015565,11015466,11015468,11015488,7292444,4598685,4598684,7292439,5233134,3193813,3193812,5233130,4587960,2760236,1600075,1600074,2760234,4587958,7274955,10989735,7292686,7292687,8163224,5233123,3193807,1869458,1869459,254229936,8163201,11015473,8162987,8162988,8163211,8163281,7295131,4600774,4600773,3193691,3193690,5232969,254346234,15890884,11016158,8163375,5233280,3193907,3193908,5233283,5233003,3193725,1869407,254261515,5233007,4598581,2766545,1603771,1603770,2766543,4598579,7292277,8163052,7292323,7292322,11015629,15890346,15213924,15213923,15897542,12133118,12133119,11019395,7295059,7295061,7534500,7296100,4601627,2768713,2768712,2768173,1604890,912711,514972,514970,912690,1604862,1869531,1066486,599477,334022,183777,100713,100712,183766,334000,599441,1066420,1869402,2766932,1603999,912128,514615,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,4601500,4601502,6920138,4601800,2770317,2770318,4601602,4601603,7296066,7534498,4975438,3005428,3005427,4602241,2769166,2769167,2768104,1604843,912681,912680,1604839,2768097,4600727,4599725,4599723,3193655,1869355,1066391,912921,912922,1605254,1604173,1604172,2767106,1604109,1604110,2767113,4599385,7292551,4598761,4598762,2768054,2768056,1605135,1605134,1605212,912960,254232697 Dl.O(d2) = 91216728,260681163,142513813,142895647,138834116,138834117,146812484,133553631,133553630,136791632,271528024,260469505,138834009,151536750,163420174,159187500,159187501,165230775,165230776,163420195,159187321,146812050,133553182,133553181,138846474,138846475,133553328,119677902,119677900,133553323,260119320,129136620,129136621,271114886,156119579,143583346,130254667,116417423,260746971,143583344,130254683,116417439,102324804,102324803,116417434,119678279,115694471,101650944,87679661,74072680,74072678,87679654,101650938,115694464,129580183,142895637,146812058,133553195,259739100,99511415,85564550,71977418,59239985,258108821,85564553,99511419,113522891,113522902,259899666,71977422,71977423,85564561,99511431,113522908,113522943,127393021,140748878,133553051,119677651,113522940,113522894,99511421,85564554,71977420,71977421,85564556,99511424,91216696,77296308,77296300,64147162,64147163,77296303,91216683,105439228,119678028,119678314,133553807,137261467,123530538,123530535,137261461,133553618,133553619,146812474,260360964,125502387,260356813,107827910,97775107,83916909,83916910,97775109,111696567,125502366,121078508,258478438,143583359,130254686,116417446,102324808,102324807,116417444,118027666,129580149,129580150,115694466,101650939,87679655,87679653,101650936,115694461,115888505,115888506,129786658,133553432,119677964,119677963,125502156,133553365,129580080,129580081,138834075,125502169,111696415,97775020,83916854,70390794,70390791,83916845,97775004,111696394,260855151,105439190,105439189,119677967,133553435,142513935,129136691,115204998,115204999,101127134,87128869,73509922,60760808,60760809,64147171,77296331,91216734,105439318,119678158,115204970,101127094,91216784,91216785,105439420,119678301,125502357,125502358,133553076,119678122,119678119,111696444,111696443,119678234,133553710,259739098,119677802,105439082,91216575,91216574,105439078,119677794,126166958,112306213,98323317,84413676,70856168,58141924,46774091,36895959,28398464,21178173,15217966,15217967,21178174,28398451,30922641,30922643,39533781,269377539,49468082,49468086,60871837,73533887,73533886,257613069,39457591,30853458,23422773,23422774,30853460,39457595,49385605,258220577,87152553,101150527,101713049,87738682,74132806,61351038,61351037,74132805,87738681,85933654,72340005,72340004,71640791,58919549,58919550,71640793,85206082,85206081,81080142,67612766,67612765,256967956,67610149,55268895,44421535,35049920,26968710,26968711,35049921,35046982,26966205,26966206,35046983,44421538,55268898,67610151,81078006,259784671,109390773,258157678,95138124,81080158,67612777,67612776,81080156,95138122,84976477,84976476,85394338,85394341,71806304,71806305,70399831,57705845,57705846,70399833,83926052,95138115,97784817,83926042,268923876,83926036,83926037,97784816,257458064,57705843,57705842,70399817,59683901,48297509,38387229,38387228,47276432,58668019,59683897,256878084,47536827,37631179,256878068,37631171,37631172,47536817,58917703,60839963,49438271,49438270,268617468,39507300,30899787,23466074,23466073,30899784,39507295,49438234,60839924,49438258,39507311,30899794,30899795,268617470,49438252,39507308,39507307,49438249,49438266,60839943,73589626,85202944,72524791,60839932,60839931,267884216,59789786,267965462,73589633,72524788,72524787,60839956,52719203,254504472,33350401,38499750,38499749,37366450,28826184,28826157,21555355,21555354,15535019,10743894,7098462,7098463,4794859,2890318,1677563,954417,538124,301682,167054,91965,50746,28517,254069200,47510,86473,157368,284768,507831,254070550,2732544,1583421,1583420,2732546,4545595,3004745,1745066,1745067,3004747,2890316,2890315,2712870,1571526,893490,893491,1571528,1745382,3005082,2890607,1677821,1677822,2890497,1677699,1677698,2890495,2692031,2692029,1746343,1745098,1745097,1745096,3004772,1746351,993054,993055,1746354,3006153,4581864,2756612,1597992,908427,512312,287187,158753,158752,287185,512309,881295,497276,497281,881310,1019164,574314,574315,1019171,1787456,3066440,5061373,3283640,1931184,1103246,1103247,1931189,3283653,5342510,8280497,8373021,11825418,8403643,5422689,5422688,8403653,12434360,17616328,23966522,23913149,23898924,17553739,16561443,12384294,12278810,8292483,5349850,5349851,5349835,5349836,8292448,12278752,254205554,254205552,23911359,22518768,22518769,20989656,15076436,15076435,15474057,10700488,10700487,12069486,12069485,17165724,16210654,11268628,11268629,16210660,13536906,9266459,9266461,13536914,12384307,12384305,13524476,13524477,12088731,12088728,12381141,17398851,12261410,8280571,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376666,8376663,7679671,5403617,3322223,1954080,1116332,1116331,1930116,1930114,3281358,3281336,3281337,5338096,8272896,5409642,5409643,4899001,4899000,7737409,11618415,16650728,15876743,11005672,7285608,4594475,2764055,1602204,1602203,1659004,2858549,4743212,7503826,11302399,12517459,12517453,12517452,10975979,7264809,5481584,5481583,7839152,7264823,7264824,10975986,11340812,7839127,7536635,4767531,2873942,2873941,4767528,7536629,10989703,7274923,7274924,10989706,10759944,10759945,254231876,15570693,10770086,7116018,4480408,2692002,1559545,1559544,2691996,4480395,7109226,4476114,2689185,2689183,4476108,7109219,7109108,4475967,2689043,2689045,2692735,2692734,4481627,7117969,10772799,7274755,7274756,7274941,4587946,4587948,5026247,7907218,7916061,7916060,11844465,10815808,7147905,7147904,4587820,2760127,2760129,2691984,2691985,4480383,7115981,4501216,2704870,2704872,4501214,5233147,5233149,4500958,4500957,7147524,10815393,7147783,7147784,267787832,15570616,10769999,10769998,15570614,21579819,15855465,10989533,10989532,10815678,10815677,15629469,267788978,15896622,11019970,7295574,4601127,4601126,7295568,7915701,11020226,11020227,11020206,7295784,7295783,11015284,11015282,15890105,12133146,8163355,8163354,12133143,11409409,7581502,254078214,2890632,4795345,7581500,254121668,11020450,15534608,10743545,10743547,7534450,7534451,4766155,2873137,2873135,4766151,7534455,11337918,16295635,268219053,11019236,11015732,7292420,4598673,4598674,7292423,254518456,7206835,7206836,7292367,7292369,11015675,15890277,11015547,7295699,7295700,11020111,11015565,11015466,11015468,11015488,7292444,4598685,4598684,7292439,5233134,3193813,3193812,5233130,4587960,2760236,1600075,1600074,2760234,4587958,7274955,10989735,7292686,7292687,8163224,5233123,3193807,1869458,1869459,254229936,8163201,11015473,8162987,8162988,8163211,8163281,7295131,4600774,4600773,3193691,3193690,5232969,254346234,15890884,11016158,8163375,5233280,3193907,3193908,5233283,5233003,3193725,1869407,254261515,5233007,4598581,2766545,1603771,1603770,2766543,4598579,7292277,8163052,7292323,7292322,11015629,15890346,15213924,15213923,15897542,12133118,12133119,11019395,7295059,7295061,7534500,7296100,4601627,2768713,2768712,2768173,1604890,912711,514972,514970,912690,1604862,1869531,1066486,599477,334022,183777,100713,100712,183766,334000,599441,1066420,1869402,2766932,1603999,912128,514615,514543,514546,912023,1603828,1606756,914005,914004,1606750,2770711,4601972,4601500,4601502,6920138,4601800,2770317,2770318,4601602,4601603,7296066,7534498,4975438,3005428,3005427,4602241,2769166,2769167,2768104,1604843,912681,912680,1604839,2768097,4600727,4599725,4599723,3193655,1869355,1066391,912921,912922,1605254,1604173,1604172,2767106,1604109,1604110,2767113,4599385,7292551,4598761,4598762,2768054,2768056,1605135,1605134,1605212,912960,254232697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15920107, s2 = 13430951, dlinesl.size( ) = 2 s1 = 15920107, s2 = 13430951, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15920107, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11143733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14192810, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11144199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144323, s2 = 10844939, int(edited[s2]) = 0 s1 = 11144323, s2 = 10844939, d1 = 12, d2 = 11 Dl.O(d1) = 256344054,16701167,16701166,22936119,30337040,30337167,30337168,23352835,17085317,17085318,23352837,30776649,39378169,47381808,37474437,28932902,21655322,15620454,10807732,10807730,15620451,21655317,21911473,16700964,11661562,7772852,4925662,4925663,7772856,11661567,16700977,21911484,22936191,22936192,30336785,22935921,16701010,11661589,11661588,16701005,21656135,21656136,28933855,29227583,29227584,37789565,37789571,43867318,47381903,38923329,38923330,268652877,30337171,29227605,29227604,37789589,47710583,39378164,39378161 Dl.O(d2) = 256995474,256995159,38923035,38922967,38922968,48843425,59108593,71847272,71847270,59108583,47710560,47710561,49784854,49784855,61263968,74043966,71847265,59108578,59108577,71847262,85070543,72974391,60237612,60237613,72974392,61263936,49784829,49784830,61263938,49784850,48843429,48843428,60237622,72974407,61294195,61294196,72974695,86572449,72974881,72974386,72104448,59371784,59371783,256943822,61294197,72974376,60237594,48843395,38922937,38922936,257575585,71498506,71498505,61263975,49784862,39765303,39765302,49784860,61263974,74043971,71847256,59108574,59108575,71847257,85433050,71847268,71847267,71498512,58769070,47381879,37474483,37474481,257465375,71498502,85070606,271312265,86572155,72974359,60237586,60237587,72974362,60237609,48843406,38922951,30336701,22935877,16700972,16700971,22935874,30336697,38922942,31086947,23602755,17290126,12169192,8201193,8201194,12169195,17290128,23602760,31086955,39765306,47388699,37481101,37481100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144323, s2 = 10844939, dlinesl.size( ) = 14 s1 = 13431818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15163411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14559934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14559934, s2 = 13961954, int(edited[s2]) = 0 s1 = 14559934, s2 = 13961954, d1 = 6, d2 = 17 Dl.O(d1) = 254648862,25415101,25415100 Dl.O(d2) = 49236315,258387053,52285808,257021539,39309562,257066688,60636988,64854467,52929004,42518538,33518707,254849494,52285810,41945235,33003453,255651447,18706212,25278702,33003457,41945243,36923298,36923296,268370982,59115331,255250616,33612576,254643670,25728280,25728281,33506652,42505483,256365910,37797496,29234963,21917522,15833897,268079604,37797491,256365908,37787565,29225634,21909761,21909762,21917497,21917496,256366593,37787557,29225629,29225630,37787559,29234931,21917487,15833877,10972680,7262877,7262878,10972682,15833880,21917493,29234941,37797467,37797441,29234924,29234925,37797443,47717991,59115302,70340037,59115341,47718056,47718057,46304657,46304659,57649458,256419590,58121273,46752742,36873551,28376836,21159564,15203524,15203525,21159567,28376842,36873562,46752752,57984477,46607658,36719476,28225979,21029828,21029829,28225983,36719480,36719441,36719442,46607614,57984436,46607714,37797460,29234938,21917490,21917491,256366589,38848785,38848786,48768553,60162886,49458665,49458667,255921988,28226013,21029857,15104919,10418220,6867907,6867908,10418222,15104923,21029863,28226031,36719542,46607720,256419598,28226002,28226003,36719503,46607680,57984469,46607649,36719573,36719572,255501566,255501562,46752805,57984500,57984499,53214117,53214118,65199922,72795608,60057018,48660310,48660312,60057019,55219478,44368388,34990128,34990126,41692912,32776001,32776002,41692916,256576852,40271549,44368398,34990137,26909155,20025482,14343217,14343216,254864570,29523707,29523708,38087723,38738256,30598999,23180281,16915338,16915339,256467959,49123322,60524461,72765774,60028927,60028926,58721397,58721398,50292818,40271542,257088225,257678242,88171050,85385861,71797536,60057015,48660307,48660309,60057017,59284712,47888268,37969905,29405926,29405925,37969903,47888265,57984534,57984535,49965320,49965319,55219486,55219487,57984446,58638582,47245224,37969916,29405935,29405934,37335402,28797718,21531951,21531950,23580516,23580515,31064242,39742138,49760834,49965313,49965312,61443372,61443377,49965314,39948464,31273669,23788126,23788125,31273667,39948461,49965310,49965305,49965304,61443366,49990101,39974079,31299640,31299641,28797674,28797675,37335340,47245172,58638538,49990162,257645081,49965311,46606266,257409315,50280542,269449168,17710759,17710758,20128070,27018988,35104122,44480235,35104061,27018950,20128043,14436111,14436112,20128046,17892840,17892839,24272426,27018958,35104073,39898011,39897990,31221105,31221107,39897991,44480374,44480372,258532233,55326462,44480437,35104119,35104120,44480439,50514698,44480406,44480405,50514694,50514695,49917751,39897966,39897967,44480226,44480227,55326293,55326522,67666393,258872299,49917775,39897988,257058299,61397839,49917780,256511519,31221108,39897995,39898048,39898002,39898001,44480395,35104083,27018964,256221033,44480392,55326423,61397863,74178053,67666182,55326278,44480196,35103886,35103887,44480198,50065835,49917811,49917810,257312129,44480189,55326272,55326292,44480494,35104185,35104186,35103894,27018817,20127942,20127939,27018811,35103885,44480195,49917740,44480192,44480191,256670088,44619734,44619733,39898058,31221154,31221153,23871684,17527261,12361081,8352061,8352060,255176635,23871683,256231035,27134826,35103840,35103839,39525044,35104078,35104077,39525029,39525001,30914505,30735967,23316579,23316580,27134764,20228515,14515664,14515665,20228518,15968013,15968014,22072992,29403343,256922147,257603959,39334253,30736379,30736378,39334252,39525031,30914539,23477705,17195243,17195242,23477701,30736337,35229144,27134792,27134794,35229103,39333719,30736471,256478929,39333704,39333700,30735961,30735962,39333703,30735965,30735964,30736159,256478889,257603875,59282153,59282154,258211527,49259657,268830967,35229134,44610076,49259037,39333724,255977339,23316883,30736377,39334250,49259633,39334211,39334212,269371603,30914528,256492587,49458673,49259298,39334284,39334240,30736371,23316877,17052900,11962816,11962815,17052897,23316872,30736359,255977345,17052932,17052934,23316769,17052830,11962786,8007862,5097796,3094223,1807913,1032598,1032599,1807920,3094233,5097810,8007883,11962735,17052732,11962831,11962830,17052921,23316925,23303136,17042710,16660090,11627410,11627411,16660096,22888981,30286769,38872539,48794938,49259716,49259714,60191630,49259630,49259629,257467718,49259638,255853002,30736353,39334206,39334207,39334203,30736348,30736347,39333845,268426121,17052756,11962751,8007846,5097789,5097790,5097777,5097775,8007822,11962699,17052651,23316448,30735723,39333341,30736215,30736216,39334023,49258559,39333322,30735709,23316442,17052648,11962696,11962697,17052650,23316445,30735719,39333337,39333816,30736052,30736051,39333814,257704175,60658938,73404401,87018873,87018880,73404417,60658954,49259384,49259383,257603925,49259386,60658957,73403688,73403689,60659295,49259762,257603971,73404709,60659284,60659283,73404707,87019148,101011519,87018901,73404438,60658982,60658983,60658729,49259160,257603893,73404218,73404343,60658886,60658887,73403697,60658078,257023523,30735705,23316440,23316439,30735702,39333315,268972731,39334020,49259390,49258552,49258551,60658072,73403692,87018303,87018685,98664884,98664885,89750495,87018688,73404159,73404161,71165333,58443015,58443014,71165330,84735379,87018883,81077936,67610079,55268826,55268828,60658959,73404421,71064869,58348599,58348598,71064863,84628306,98552211,84628343,71064901,71064900,84608475,84608472,84628335,71064894,270288979,98552166,98664920,84735416,84735417,77596039,64427289,52553133,52553134,64427292,60658914,60658913,71064806,58348548,46979255,37095871,37095870,46979252,58348542,59705291,58443042,47066668,37174032,37174030,47066660,58443030,59528990,48141762,38231487,38231488,48141765,59528995,71064902,71064891,71064890,72441357,257440194,58443054,256026354,70792087,255574272,78499960,65211769,65211768,78499959,92545614,98552228,98552226,257079374,92511892,106823550,98552224,84628322,78499955,65211766,53223929,53223928,65211763,78499951,92545609,105756922,91534520,77604533,64435688,64435690,60153477,60153479,72889513,78499945,65211759,53223927,42773277,33742877,33742878,42773279,53223931,65211770,74473941,61691335,61691334,74473939,88086230,84350875,84350876,74473945,74473944,73613631,60863486,60153474,60153473,65211754,78499936,86484622,72889523,256824222,97961776,85912068,85912067,99867571,98664909,98664908,88191295,255798250,50310419,40289091,31605266,24102354,24102355,31605270,40289095,50310425,59584172,59584171,72318747,85912077,99867578,112236412,112236411,102183148,88191304,88191305,100441768,114466302,106864412,92545604,78499941,78499940,92545600,84087888,84087889,97961774,102183146,88191302,74575536,74575537,65211746,65211745,78499930,92545594,92545582,92545583,99867574,99867573,102183138,256824228,61791010,53223910,42773267,33742873,33742871,42773268,255798258,59584208,59584207,65211739,78499926,85912154,85912155,99867623,256286126,72318815,72318817,78267791,64994193,53019045,53019038,42578824,42578825,53019040,64994176,53019027,42578814,38288627,38288626,48197789,59584235,49267531,49267530,268065066,48197876,48197877,48197735,38288675,29722153,22365909,22365908,29722149,38288672,48197851,59584290,72318824,85912120,85912056,72318729,269078422,38288568,29722081,29722080,38288567,48197712,59584154,57849158,57849157,70551022,59740158,59740159,72255894,59584190,59584191,72318764,72318782,59584219,59584218,59584146,48197706,38288563,29722078,256286100,48197785,48197786,59584181,72318756,84087861,70550945,57849032,46493008,256286130,255372068,48197722,59584161,256286108,59740161,256824210,100036506,99867611,85912133,72318846,59584313,48197866,38288690,38288688,48197862,255798244,59584227,59584228,72255941,72674984,72852272,60115361,60115355,59935534,256286114,30054254,30054253,30215519,38799533,48720479,48720515,48720517,50423269,40389408,31696757,31696756,40389404,33150469,25409926,22823395,256440315,48720509,49373147,39444799,30840514,30840513,39444798,48720528,38799573,30215543,22823403,22823405,30215546,30054281,22678037,16481011,11483452,11483451,16481006,22678026,30054265,38628163,40082657,31401978,23909756,17566172,12394738,8376331,8376336,12394752,13523626,12379395,8365147,5399026,5399025,6971163,4379451,4379450,5197669,5197668,7246902,7246920,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,8377673,9248634,12390522,17561399,12399574,254596339,5407900,8379772,8368247,8368248,12376318,8363280,8363278,8371502,8371501,12261348,12261349,12377173,17546927,13514030,13514028,18950670,23966452,17616259,17616257,17570081,17570080,17570127,12398254,8378775,8378773,12249336,15242296,12317608,8320015,8320014,12317603,16651913,12251521,12251522,9767878,6798183,4262877,2548582,1468146,1468145,2548581,4262876,254709781,255107299,11483448,255487803,30054251,38628142,48542928,59282403,59282399,59282398,58122635,46754142,46754141,51312136,47299363,37390285,37390284,37390416,256461955,256461953,37390340,37390341,269319171,47299454,47299453,37390392,28850483,21578677,21578675,28850427,21578643,15555322,10759218,10759217,15555319,21578638,28850417,28850540,21578707,255043087,4475752,4475751,7108806,255043083,21578693,28850510,37390431,47299506,47299446,37390375,28850470,28850469,30514985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14559934, s2 = 13961954, dlinesl.size( ) = 2 s1 = 14559934, s2 = 13961954, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14559934, Dl.E( ) = 18, 3.6e-05 seconds used appending s1 = 15611922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144753, s2 = 10994848, int(edited[s2]) = 0 s1 = 11144753, s2 = 10994848, d1 = 13, d2 = 9 Dl.O(d1) = 256350071,21721235,256918129,29346937,24069090,17713130,12530081,12530036,8491149,5491805,3382207,1991661,1991662,3382209,5491807,8491151,5978433,3738572,2238275,2238276,3738574,5978436,4613638,2778080,2778076,267888381,11034901,254519767,4613530,7309654,11034894,12530060,255192157,17493751 Dl.O(d2) = 5378079,8332732,12334621,16154120,17493748,12334612,255563657,22299416,16153985,255462761,17493749,17493755,12334617,12334616,17493754,23832382,23832383,31322853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144753, s2 = 10994848, dlinesl.size( ) = 8 s1 = 11144789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10729895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10729895, s2 = 11144804, int(edited[s2]) = 0 s1 = 10729895, s2 = 11144804, d1 = 0, d2 = 0 Dl.O(d1) = 28058215,20888376,14985208,10317001,6787050,6787049,10316999,11738996,16788749,23031539,22793270,22793272,28880906,21605043,15576716,10774951,7119318,4482486,4482487,7119323,10774960,15576732,21605065,28880826,37421571,28879804,28879803,28881033,37423073,37421687,37421686,38882387,43916040,34642904,26651822,19838340,19838339,26651820,34642900,43916038,37421719,37421718,37421590,28879663,21604036,21604037,28879666,22234153,16099335,16099336,15576039,10774473,7119021,7119022,10774478,15576066,11786875,11786874,16853503,23112348,29581869,22234285,16099419,11182397,7419559,7419558,11182393,16099411,22234273,29581855,37422937,47331214,38147878,29581980,22234370,16099491,16099492,22234373,29581984,29582062,22234457,22234458,23383178,17112593,12025619,12025618,17112585,21604158,28879835,37421715,38147662,29581757,22234186,16099352,11182344,7419502,7419501,11182337,16099341,21604164,15576048,15576050,17063066,23329661,29581871,29581870,38068501,30024751,22651910,22651908,16873803,16873802,22165348,22165355,29505155,22234324,16099446,16099445,22234320,22165364,22165365,29505171,38068512,47980692,48060585,38147793,38147792,48060580,38596988,38596987,48060516,38147705,29581795,29581779,22234218,22234219,29581782,38147693,48060503,38147948,30024760,22651920,16460384,16460383,22651912,29530576,23329691,23329692,30751933,23329670,23329669,29505469,22165577,16043131,16043130,22165572,19541255,19541256,26260572,34126388,43213984,38193154,29626391,29626392,38068474,29505139,29505140,29581888,29581887,38147789,38147758,38147757,38094366,29530568,29530567,25856806,19199908,19199909,25856812,30024659,22651834,22651833,30024655,30552785,29582186,22234568,22234569,29582190,30024773,30024772,30024717,22651880,16460359,16460358,22651861,16460349,16460348,22651855,30024528,22651740,16460285,16460286,22651744,22651786,30024588,38596899,39352334,30751971,23329705,23329706,30751974,39352338,38596939,38596940,47980674,48511317,48511318,38596835,30024541,22651753,22651754,16460312,11469046,7628806,4826659,4826660,7628814,11469061,16460338,16460293,16460292,22651762,22234565,22234566,29582181,30024767,30024768,38597070,38597072,48511581,48511574,38597058,30024706,22651869,22651870,30024708,267974120,22651739,254527006,38596813,30024531,30024532,38596823,48511329,59904737,255457964,59904744,59904814,48511447,256380364,30024614,22651831,22651830,30024649,29582171,29582172,30024728,38597099,48060601,38597088,38597087,48511599,59394402,59394397,48060418,48060417,48511569 Dl.O(d2) = 28058215,20888376,14985208,10317001,6787050,6787049,10316999,11738996,16788749,23031539,22793270,22793272,28880906,21605043,15576716,10774951,7119318,4482486,4482487,7119323,10774960,15576732,21605065,28880826,37421571,28879804,28879803,28881033,37423073,37421687,37421686,38882387,43916040,34642904,26651822,19838340,19838339,26651820,34642900,43916038,37421719,37421718,37421590,28879663,21604036,21604037,28879666,22234153,16099335,16099336,15576039,10774473,7119021,7119022,10774478,15576066,11786875,11786874,16853503,23112348,29581869,22234285,16099419,11182397,7419559,7419558,11182393,16099411,22234273,29581855,37422937,47331214,38147878,29581980,22234370,16099491,16099492,22234373,29581984,29582062,22234457,22234458,23383178,17112593,12025619,12025618,17112585,21604158,28879835,37421715,38147662,29581757,22234186,16099352,11182344,7419502,7419501,11182337,16099341,21604164,15576048,15576050,17063066,23329661,29581871,29581870,38068501,30024751,22651910,22651908,16873803,16873802,22165348,22165355,29505155,22234324,16099446,16099445,22234320,22165364,22165365,29505171,38068512,47980692,48060585,38147793,38147792,48060580,38596988,38596987,48060516,38147705,29581795,29581779,22234218,22234219,29581782,38147693,48060503,38147948,30024760,22651920,16460384,16460383,22651912,29530576,23329691,23329692,30751933,23329670,23329669,29505469,22165577,16043131,16043130,22165572,19541255,19541256,26260572,34126388,43213984,38193154,29626391,29626392,38068474,29505139,29505140,29581888,29581887,38147789,38147758,38147757,38094366,29530568,29530567,25856806,19199908,19199909,25856812,30024659,22651834,22651833,30024655,30552785,29582186,22234568,22234569,29582190,30024773,30024772,30024717,22651880,16460359,16460358,22651861,16460349,16460348,22651855,30024528,22651740,16460285,16460286,22651744,22651786,30024588,38596899,39352334,30751971,23329705,23329706,30751974,39352338,38596939,38596940,47980674,48511317,48511318,38596835,30024541,22651753,22651754,16460312,11469046,7628806,4826659,4826660,7628814,11469061,16460338,16460293,16460292,22651762,22234565,22234566,29582181,30024767,30024768,38597070,38597072,48511581,48511574,38597058,30024706,22651869,22651870,30024708,267974120,22651739,254527006,38596813,30024531,30024532,38596823,48511329,59904737,255457964,59904744,59904814,48511447,256380364,30024614,22651831,22651830,30024649,29582171,29582172,30024728,38597099,48060601,38597088,38597087,48511599,59394402,59394397,48060418,48060417,48511569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10729895, s2 = 11144804, dlinesl.size( ) = 2 s1 = 10729895, s2 = 11144804, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10729895, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11144919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144919, s2 = 11657124, int(edited[s2]) = 0 s1 = 11144919, s2 = 11657124, d1 = 2, d2 = 13 Dl.O(d1) = 55670252,44759997,44759996,55670251,258550811,50652403,257695463,74973051,68069622,55670248,55670249,68069624,68069627,81559666,85653946,85653947,72066664,72066665,72066666,259362054 Dl.O(d2) = 256923124,22129902,16015130,11119614,11119615,16015132,22129906,29426831,37988208,37988236,47903821,47903647,37988050,37988051,37988061,29426685,255667436,47903657,59298270,72034386,59298119,47903447,47903446,47903504,47903440,47087023,37191341,37191340,37988035,268411964,28976267,21693543,15653030,15653028,21693532,21693579,15653052,10834261,10834262,15653054,21389628,15405364,10648104,10648105,9146381,9146380,13381023,13381025,18786829,22241806,256393035,38156065,35408875,255564034,33447222,25676348,19054509,13602617,13602616,19054508,25676347,29590003,29590005,268684246,33106039,42055202,52399239,257404704,42055172,39847504,31165757,23677592,17357404,12227528,8255531,5325704,5325703,8255530,5357514,5357517,5326579,5326578,5365093,8314763,12310189,255560483,17414533,17414534,254862503,5465736,5465735,8288157,7460027,4713882,2839741,1929279,1647292,1647295,2838775,1646773,936367,527671,295633,163502,163503,295636,527678,936383,1646806,2838836,4712339,3436207,3436208,5551265,4710346,2837601,2837600,4710344,7454937,11233747,16164500,11231650,11231651,12564017,8519091,8519092,12564018,12593445,17756040,17756041,22310664,17718345,12534954,8527377,5525946,3412374,3412375,5525922,8527347,11231270,7452694,4708738,4708736,7452690,8569492,9191713,8582019,5576200,5553730,5553726,8556886,8556896,11233866,16166469,22312373,24164370,255486964,24155618,17803616,17757347,12565320,8541854,8541852,12590309,13439890,267931463,3762520,2254099,1308225,746849,424421,239593,239596,424429,746864,1308258,1160916,1160920,2027728,3429757,3763717,5493655,3383836,3383838,5493664,5484729,5484728,8484068,8557171,8529718,5595461,3472289,3472287,5496194,3475450,2062119,1995566,1140536,639816,639818,1140542,1995795,2042506,1986774,1135095,1135093,1986726,1164531,653511,653514,653505,362493,198388,108119,108123,198406,253994,253949,140492,140491,253946,450797,795444,1144900,2002898,3397427,254605969,3780910,3780909,6042998,6014286,4029378,4029379,5523727,3410343,2012361,2012362,3387713,5497906,3762690,3762689,5513272,3406550,2009408,1148977,644548,357725,357728,644558,1148997,1168953,1168955,2039760,3444957,3375009,1986304,1986306,2044047,3450535,3428084,2026253,1313640,1313638,1170796,657127,657126,1170793,2042611,3448925,267899647,3034984,5017019,3448022,3374760,1986140,1175885,660077,654638,363015,363016,654627,1166438,2036215,3422307,3391025,3391026,2005714,1146596,643215,356997,195575,195574,356972,356975,643163,648093,1155160,1156348,2012478,2012479,1150970,647839,647836,1151155,2004506,3399955,5508738,3449992,3449990,5497871,5525157,5547108,3432724,3432723,5370765,5364407,3297766,1939533,1107878,621719,621720,1107884,637718,637717,1136648,1989277,1136910,1136914,1989711,1153225,646979,646980,1153200,1764717,1005434,566601,317334,175442,175444,317179,317177,317191,317189,317745,317743,567323,1006633,1149466,644827,357841,357840,644824,1149449,1157981,2023496,3425017,2046167,2046169,3453159,3402666,2006521,1147145,1147146,1936129,2051852,3385894,3385895,3422450,3440494,2035938,1166255,1166256,2035944,2059103,3471670,5371197,5371196,8323636,8497544,5501866,3391430,1998606,1998607,1768850,1008050,568133,568135,1008057,1768860,3038170,5020426,5496412,3386315,1994680,1994681,3386316,5496413,8495124,12533490,17716937,17716935,24073388,31579019,40266123,50287362,61767154,74550993,88166278,102157595,102157591,102157592,116219146,261310081,262358327,167609042,167609041,178071804,262119628,150589142,137588601,123907260,109769987,95569538,95569537,109769985,123907256,137588594,123907254,123907253,259244186,81538836,68051974,55655246,44747233,35321359,27197806,20271346,20271348,27197810,256761819,55655224,61979924,51187605,51187604,62837683,270458843,75801750,62837675,51187597,51187598,51187603,269449179,51187599,258333863,89584180,260799807,144931275,147834520,134708027,120909447,120909448,134708029,147834510,147834511,145195477,131956292,121087876,106828418,92516789,78476970,65192703,65192704,65038272,53055482,255195194,33583575,42607659,53055484,65038276,257091580,106656484,120909434,112463338,98473288,84551444,70988443,58273978,46908922,46908921,58273977,62688297,51058432,257015944,24558092,18120013,12848510,12848511,12848512,12848513,18120016,256068075,40917301,51058438,62688302,75632971,79101238,269565030,43177856,43177855,53688696,58273980,255709366,28533957,21311403,21311402,28533955,37031887,257431863,70988431,73325444,60581659,49181961,39256320,39256319,49181960,60581657,73325438,60581654,60581655,73325439,86935394,100917056,261243117,154860629,166563504,177139448,186488517,186699931,273568562,273882196,201758806,194814174,263952860,194814173,186699929,186699930,177383078,166834686,155141004,142496687,142496688,155141005,166834688,177383080,263214972,201758808,264265418,201758805,207604638,212425345,207604637,207604636,212425343,216367905,263963030,216367904,273572176,219287756,215969726,262325288,201117788,201117787,207060040,207060043,201117789,194065569,185835016,185835015,194065565,185835013,176396489,165732924,165732925,166834678,166834677,177383069,186699924,177383070,176396491,165732926,165732923,153958843,141286921,141286920,153958841,153958844,141286923,127925551,114044378,255997618,255159960,48333715,38428563,38428562,254836774,72455043,59723778,48339282,39732152,38428569,38428568,29876694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144919, s2 = 11657124, dlinesl.size( ) = 8 s1 = 11144991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144991, s2 = 11051790, int(edited[s2]) = 0 s1 = 11144991, s2 = 11051790, d1 = 11, d2 = 15 Dl.O(d1) = 164697012,164697015,152861741,152861740,164697013,164697016,175454191,175454192,165475343,261792592,127683109,113815507,99801916,85849919,72258872,59525285,258253518,57988603,256010558,52877488,42473373,33479693,25706224,25706223,33479690,42473361,33562444,33562443,42579112,53019314,53097546,47542751,47542752,58923952,52776682,268323722,25623415,25623416,33389098,42377772,46802923,38443809,29887578,29887576,38443805,48345913,59729789,64090537,52243046,50552903,50552904,257105951,256584784,24303551,24303552,31819935,24303514,24303513,31819933,24303534,17919885,12696539,8625664,5608482,5608483,8625667,12696545,17919894,24303548,31819983,40516669,40516668,50552884,41983585,41983586,41983686,52324298,52324122,52324121,52324203,50028806,50028807,41983565,33039938,33039936,40516401,41983619,33039944,25312293,256116849,256268518,33039998,41983662,36502373,28039100,28039101,36502375,46360447,48172319,48172356,41983590,33039910,25312267,25312268,33039913,33039747,25312108,25312107,33039744,40516415,50552676,62045380,51381098,41190823,32372420 Dl.O(d2) = 41190825,32372422,24753921,18279013,12973539,12973540,18279015,24753925,32372427,256953001,29810138,22443320,16274783,11316752,7514235,7514234,11316717,16274724,11316807,11316808,16274737,11316724,11316723,16274735,16274793,22443338,29810154,256410705,22443373,16274815,11316774,11316775,16274817,22443375,29810200,37129666,37129665,37148899,37148900,47038076,42582809,256151934,19135631,19135632,255913689,38382301,46913181,46913180,58278396,68085657,55687319,44779091,44779090,38382336,36844758,36844760,38382299,48293064,48954548,268241610,33853209,33853208,42898237,256320777,21381577,15399071,10643107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144991, s2 = 11051790, dlinesl.size( ) = 8 s1 = 11145035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145035, s2 = 12104116, int(edited[s2]) = 0 s1 = 11145035, s2 = 12104116, d1 = 7, d2 = 7 Dl.O(d1) = 47555425,58937238,71658659,71658660,71658656,71658657,85224156,259956113,113137063,259337329,71658658,71658659,257478023,256898391 Dl.O(d2) = 47555425,58937238,71658659,71658660,71658656,71658657,85224156,259956113,113137063,259337329,71658658,71658659,257478023,256898391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145035, s2 = 12104116, dlinesl.size( ) = 2 s1 = 11145035, s2 = 12104116, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11145035, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 11145281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145281, s2 = 14129584, int(edited[s2]) = 0 s1 = 11145281, s2 = 14129584, d1 = 9, d2 = 3 Dl.O(d1) = 272375354 Dl.O(d2) = 127185641,113326512,113326511,261138507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145281, s2 = 14129584, dlinesl.size( ) = 14 s1 = 8171656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8171656, s2 = 10210698, int(edited[s2]) = 0 s1 = 8171656, s2 = 10210698, d1 = 6, d2 = 5 Dl.O(d1) = 258870781,101737522,97711729,97711728,87764933,87764934,101737527,115782662,128052911,114163249,100129579,86163778,72565595,72565594,86163776,72565596,72565597,86163781,100129615,270788054,86163731,260019807,113749523,99735103,99735104,100129613,271283222,128052909,260647460,261167093,153635006,165416070,165864044,262608476,263458624,272510160,272510162,262121190,185563924,193824220,185949230,176519383,165864041,154094985,141421373,128052932,114163269,100129593,86163748,72565555,72565554,86163746,100129591,114163262,128052925,141421367,154094977,154094969,141421361,141421362,141421360,259864160,100129583,86163738,86163737,100129582,114163252,128052914,261045324,115782660,101737525,87764932,87764930,90538255,76674562,76674563,90538257,104706406,118891483,114163261,100129588,86163742,72565550,59830061,48443772,38535248,29969240,22604240,255357678,255782646,22604244,16421250,16421249,255357680,38535253,38942154,30355882,22954019,16732294,11689696,7796016,4943541,4943542,254801790,16086429,16717257,16717256,22953857,22953528 Dl.O(d2) = 134146390,120317550,106119357,91926886,78005172,78005173,91926888,106119360,120317557,134146405,147356716,159703402,153895605,153895604,153895637,262725351,165672157,153895664,141223522,127864291,261733259,165672154,176340258,185784525,194022215,262861462,176340211,165672076,153895587,153895584,165672071,176340203,176340222,181120973,171017216,159703390,159703391,159703383,147356701,134146393,120317552,120317551,134146391,147356699,159703379,262462832,273386942,201327918,205800201,205800207,199618317,192313427,192313428,199618319,263368816,209560360,204131650,197624788,189983318,189983319,197624790,192313424,185944416,176513949,261471598,194165857,199618315,262956736,199618302,192313409,183834642,183834643,192313412,260906290,260906280,260906278,174164761,174164774,174164778,174164777,183834661,260311932,151436385,138741043,138741044,151436386,163314601,151436371,151436370,163314599,174164776,272813341,138741023,125417690,111618983,97700608,97700607,111618980,125417684,111618992,111618993,125417706,125417700,111618990,111618991,258439042,151436381,163314613,174164757,260906288,163314607,151436374,151436373,163314603,163314608,174164781,261471594,261471590,174164771,163314596,151436359,138741025,259067558,151436390,163314624,164273226,164273227,175077556,184666849,261471596,154849396,154849395,260311926,260311930,129638488,115742120,101697487,87724299,86440284,72845793,72845794,86440285,100395909,114419285,128295133,126303007,114419290,271820153,101697490,87724308,87724307,259910081,258896630,70962958,84526582,98448552,87724304,74119108,74119109,87724306,86440278,86440250,86440249,100395877,86440248,72845768,60109336,48714341,48714338,60109342,72845776,86440257,259421033,86440268,271331320,261642531,260329308,126308206,272177203,259984998,98454783,257508652,46888088,256386164,70970657,84533393,84526580,70962956,58246445,46879344,46879343,58246442,70962954,84526578,98448568,112438131,126303032,139675822,127419943,259393654,113549018,127419932,134112112,127419942,113549033,99537459,85590247,72003359,72003358,85590245,99537454,113549026,127419937,140776121,152399005,139675808,139675809,140776106,127419915,127419916,260612190,259393652,99537441,85590237,85590236,99537439,113549011,101697462,260107247,129638483,142965867,260011950,99537428,85590225,85590226,99537430,113548998,115742114,260011954,140776111,142965853,129638463,115742078,101697433,87724225,87724226,98670577,258768450,99537422,99537421,113548993,101697478,258827060,72054662,59320211,47927873,38013676,38013675,47927871,59320208,72054657,85641892,259981293,126302987,139675775,140840110,261788042,140840095,140840097,153518806,165312308,176006346,185479597,185479619,185479618,193746826,185479611,176006355,165312314,165312313,176006352,185479566,185479565,193746788,193746813,185479590,176006339,176006338,185479587,193746806,185479581,176006334,176006335,185479583,185479627,185479626,193746834,264210269,211151379,206094427,200836487,200836486,200836498,200225366,193040446,184666835,175077545,164273219,164273220,175077547,174695237,174695236,184317700,262649496,262649494,195237470,197662484,190025509,181170417,181170418,273636459,200225369,193040451,184666841,175077549,164273221,152398989,152398990,152398991,164273224,263089375,174695244,184317706,192736599,199976455,263492154,262649492,177897699,177897680,177897679,187167603,195237450,202135424,263492150,181170427,177897682,167403620,262165562,187167606,190025519,192736586,184317687,184317686,177897678,177897677,187167598,177897676,177897675,177897683,177897698,167403633,155771600,143220073,129890669,129890668,143220071,155771596,167403627,177897689,187167615,195237464,202135429,206094413,206094415,202135434,263838047,192736600,199976444,192736581,184317681,184317682,184317711,184317712,192736605,264162451,264162449,192736574,184317677,263838045,264175160,202135431,195237458,195237459,264567831,263852090,263852088,163877527,152009379,152009380,163877530,163877582,163877580,174695246,184317709,192736576,192736575,263492156,174695207,174695205,184317668,263838043,184317684,174695224,174695225,263476871,174695202,184317666,273520683,174695189,163877525,163877523,167403639,155771605,152009394,139302646,261624013,163877540,163877585,152009424,152009423,163877583,263075121,184317671,174695208,163877543,152009396,139302674,139302675,152009414,152009403,139302661,125953818,125953819,139302663,152009387,139302641,125953791,125953780,125953779,112120354,98161079,84267344,70716267,70716266,84267342,98161077,112120350,112120418,112120416,98161151,98161090,98161091,98161145,98161146,98161080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8171656, s2 = 10210698, dlinesl.size( ) = 2 s1 = 8171656, s2 = 10210698, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 8171656, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 11145571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11145685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145685, s2 = 14049430, int(edited[s2]) = 0 s1 = 11145685, s2 = 14049430, d1 = 14, d2 = 9 Dl.O(d1) = 256334578,21922200,15836939,10974570,7263937,4580927 Dl.O(d2) = 255833354,27198491,255833356,21686077,255294558,10829895,15647046,18310976,18310977,24794369,32420431,32420430,41247092,47083274,257666880,24647899,18191201,12902567,12902566,18191199,24647895,32246104,256030530,24524638,32099837,24794325,18310947,18310948,18521822,13160176,13160177,18521818,18521817,25060432,26370828,32099757,26370744,26370743,24524570,18093236,18093239,24524484,18093187,268271847,32099687,40871412,32099711,32099712,31850200,24330350,17942052,17942051,24330349,31850199,24524611,24524610,32099805,29311340,29311339,28550598,21325839,15353849,10606812,6998385,4398115,4398114,6998384,10606811,10667528,15430664,15424030,15424029,19280328,25943495,19280125,13782333,9449468,6195105,4118513,2463423,1423966,1423965,254318505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145685, s2 = 14049430, dlinesl.size( ) = 18 s1 = 11145785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145785, s2 = 10863543, int(edited[s2]) = 0 s1 = 11145785, s2 = 10863543, d1 = 16, d2 = 19 Dl.O(d1) = 255669304,10981118,12409966,12382982,8367717,5400506,5400505,5406298,5407429,5407427,5408510,8379991,8282265,7902645,5023467,5023466,5408200,8380276,12384159,12407230,12407228,15305138,17575231,12403422,8382551,8382553,12062855,10693067,10693065,11244438,11244441,12397906,8378560,5407096,5407095,8378556,12397898,12377683,12377682,17547525,20288553,17569503,12397700,12397701,17569508,16560681,16560682,255026838,12262056,12262055,17392823,17392825,17471270,12317553,8364907,8364906,12249279,12249278,11755344,9767909,9767911,14208914,19834600,17401828,12263544,8281818,8281817,12263539,17401820,17411752,17411751,18951960,18951959,23903985,30165355,28475969,21256618,15292139,15292138,21256616,23909494,23909493,30285880,22888035,22888034,22518717,22518716,25493661,25493660,31218207,31218206,23805279,23805278,29455493,29455494,26733581,19898567,14254474,14254472,17379665,12247117,12247120,12264258,8282531,5343539,5343540,254844045,5343475,5342030,3283418,268109727,11529566,11529567,16297124,22465328,20187575,14484220,14255467,9798303,8519510,8519511,12564557,17756580,20187719,24225226,19425108,19425109,23295691,17035943,17035945,15593567,10787326,10787323,14926517,10264045,6744538,6744537,10264040,14926502,20824650,25326282,18747303,18747304,15589091,10784171,10784172,15589092,11454839,7619142,7619141,11454836,16440663,254914090,27289179,258556205 Dl.O(d2) = 260118104,126208859,112348549,98366127,84456691,269775427,28443512,21217624,15248993,10519843,6937606,6311403,3955667,2368825,1371263,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515560,17695214,18874648,24977505,21472385,21472383,24977539,27253302,22439797,22438654,16271133,14240588,9789469,9789467,14240590,19660163,16270969,11313844,11313847,16270980,17694801,15868010,10998074,10998071,15867994,14581065,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145785, s2 = 10863543, dlinesl.size( ) = 20 s1 = 11145887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145887, s2 = 13301630, int(edited[s2]) = 0 s1 = 11145887, s2 = 13301630, d1 = 0, d2 = 34 Dl.O(d1) = 47761876,256370143,29273150,37839418,29412675,22082221,15976455,11090735,11090734,15976453,22082217,16919660,16919661,23185570,17773619,17773620,15601276,10792868,7130648,7130649,8919671,8919672,255236137,23881248,23881247,30063119,22685566,22685567,256428217,29273364,26959795,20076122,20076123,259784015,123574868 Dl.O(d2) = 268203880,18790259,13383555,9148042,5986480,5986479,9148033,9104289,5957223,3725549,2230624,2230622,3725540,5957212,9104312,13324747,18718440,21115866,21115867,28092248,22222944,22222945,22222954,16090067,16090069,15163986,15163984,21109912,15165748,10458965,10458963,15165730,21110816,255153396,16724742,11682778,11682779,16724746,21365210,15385957,15385956,21365206,28598066,22960032,17705011,17705010,16724256,11682368,7790191,7790189,6586152,5208004,4939297,4939299,7790237,11682452,15850287,14946875,14946876,12649661,8588632,8588631,8133508,8133507,12094348,10782964,10782967,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660822,5953353,3723082,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,14606698,10289418,10289417,14955985,19900530,19900531,26735584,32287542,255649930,24226228,31734788,40429059,32953468,25990901,19320084,268021196,28023994,30711410,23294897,267809524,24226226,20939094,20939093,15598298,10790585,10691016,10691017,15461903,254217886,14602012,10047553,6602549,4136195,2474155,2474154,4136192,6602543,10047539,10047574,11517213,11516145,11516144,10274865,8585318,8585319,9443445,13774400,18830285,17854538,12644305,8585292,8585290,12644295,17854520,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595216,19824269,21622486,21622485,15930058,11053137,11053141,15930065,11539233,11539232,254480834,254480832,4240439,4290440,2565129,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,6074052,8290501,12276038,14941293,14941294,20840721,15167536,10460445,6895091,4328188,2589282,1492617,845208,477029,477030,845212,1492625,2589295,2589206,1492579,254221987,4328051,6894849,268066749,15166163,15166162,21112280,21112886,15313875,10576692,10576695,15313881,21114700,15168715,10461447,6895778,4328576,2589493,2589492,4328574,6895773,10461433,15168702,15167875,12426509,8398771,5419778,3331733,3331734,5419784,6895557,6895556,8399083,8398889,5419850,5419852,8398893,12426684,17604973,23950723,29728294,22371553,16216702,16216701,21115419,17604217,17604218,21115650,21115649,28325278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145887, s2 = 13301630, dlinesl.size( ) = 44 s1 = 11146003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146003, s2 = 11544386, int(edited[s2]) = 0 s1 = 11146003, s2 = 11544386, d1 = 24, d2 = 35 Dl.O(d1) = 258728271,99448948 Dl.O(d2) = 264205163,210572705,265507797,227774861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146003, s2 = 11544386, dlinesl.size( ) = 38 s1 = 11146043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146043, s2 = 7084996, int(edited[s2]) = 0 s1 = 11146043, s2 = 7084996, d1 = 13, d2 = 8 Dl.O(d1) = 59189695,71929281,85516860,99462728,113472893,127342241,140698079,153379557,165183775,175893517,175893516,185385265,175893524,175893517,175893516,259501524,165183774,175893523,175893518,175893519,185385267 Dl.O(d2) = 262337016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146043, s2 = 7084996, dlinesl.size( ) = 2 s1 = 11146043, s2 = 7084996, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11146043, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 16061319, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11146195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146195, s2 = 11523188, int(edited[s2]) = 0 s1 = 11146195, s2 = 11523188, d1 = 13, d2 = 16 Dl.O(d1) = 255442162,29327443,37895865,39781955,39781954,35396875,27270176,27270175,28770944,30908928,268209358,12088946,268398250,1860145,254260653,5208500,8129651,268429755,17192056,255449622,15974499,11089274,7354427,254234958,1623315,1623314,1623692,1623331,1623332,2798385,4645681,4502671,4502670,4647962,2799723,1624085,1624084,2799062,1623704,923273,520477,520474,923268,1623694,2799044,2803595,2803597,4653695,7354437,7354438,7358648,9933699,6528709,6528710,7358658,4648336,2799952,2799951,4648330,4646798,2799036,2799035,4502677,254523488,7150133,7150132,10818961,11089556,15974843,14556493,14556492,17060588,17060587,11968650,8012097,5100647,5100648,8012098,8012109,8012110,11968670,17060618,11968711,11968710,8012338,5100808,5100807,8012337,8012045,8012044,11968587,254566583,254255347,1033222,582295,582294,1033220,1808995,3096033,5100629,8012036,8012037,11968579,17060553,11968865,8012283,254380669,1809038,1033242,1033244,582311,582313,1033252,1809048,3096130,5100789,8012161,8012276,5100851,3096175,1809072,1033268,582322,325582,179799,98871,54658,54657,98866,179788,325573,582300,1033231,1809018,3096085,4645887,7354631,11089537,8012266,8012268,11968770,11968769,17060507,17060506,17060668,11968737,11968738,17060634,11968691,8012131,5100668,3096052,254380665,8012128,11968548,11968551,16076033,11968783,8012204,5100727,5100728,5100824,8012054,11968600,8012372,6919547,6919546,255019745,11968981,8012383,8012191,8012192,11163239,11163240,16076019,22206207,23326676,23326717,17060745,11968826,8012231,254527558,3096096,5100739,8012226,11968813,17060728,23326699,255898142,23326650,23326651,30748164,255813447,255144379,10493566,6919571,4347054,4347053,6919570,10493564,15212530,16076020,11163241,11163242,15212535,15212534,17060852,11968957,11968958,17060197,11968317,11968315,12140494,12140495,17260703,21170890,28389838,30747989,30748197,30748196,28389839,28389840,30748170,36886591,28389841,21170895,15212432,15212434,15212438,15212437,21170901,28389849,29549978,29549979,38112826,30748298,23326816,23326799,23326800,30748276,39347935,46764856,36886664,30748280,23326803,23326801,30748278,30748171,23326657,23326519,255813445,15212452,10493517,6919543,4347033,2603475,1502414,1502413,2603474,4347031,6919538,10493510,15212440,21170905,21170830,21170829,28389773,36886530,255913716,255473786,29547838,38111044,254533942,40222839,31536568,24033992,24033991,29549742,22205997,16075865,16075866,22205999,29549745,38112629,39863480,39863479,44383456,44383455,55233696,44383584,35005474,35005475,44383585,44383528,44383529,44383614,44383637,35005550,26923657,20038396,20038395,26923512,20038293,14353972,9862567,9862571,14353975,20038299,26923513,20038304,14353982,14353983,20038307,26923527,26923459,26923460,30457314,23049681,16804092,16804091,23049677,23049684,21637110,15605234,15605235,21637114,26923572,26923571,35005464,44383572,44383465,35005347,35005348,37451404,28911775,21637139,254506330,16804089,23049671,30457301,39046584,44383498,35005370,26923485,268547119,268221738,35005399,26923510,26923505,26923504,20038341,14354012,14354013,20038344,26923566,35005459,26923634,20038406,20038405,26923672,35005563,254533944,26923663,26923466,20038266,14353960,9862561,6478585,4059812,2429877,2429878,4059816,254685557,14353985,20038310,268406462,44383646,35005564,26923673,26923674,35005568,44383650,55233771,256381922,29410152,22079725,20038461,14354083,9862638,9862637,14354078,20038452,22079897,22079738,15974200,14563157,10021119,7354195,7354196,11088992,7354264,7354265,8262603,12236655,17368746,22079730,23691269,22079845,22079844,17368761,17368760,23049692,16804096,11750423,11750424,11089040,11089038,11095547,11095548,11089115,7354279,4645608,2798331,2798329,4645605,7354274,11089106,15974255,12236662,12236661,15974235,11089015,11089016,15974238,255448451,17368747,15974414,11089194,7354352,4645657,4645656,4645580,4645579,7354236,11089053,12236643,12236644,11089183,7354342,7354340,4647502,2799434,2799436,4647506,7354357,4645665,2798375,1623277,923048,520364,291719,291718,520359,923043,1623265,2798350,3276694,4651112,3154768,3154769,5173149,4647582,4645617,4645616,7354295,7363497,4651133,4651132,4651157,2801584,1625119,924036,520902,520900,924028,1625104,2801553,254523333,4662637,254765819,16026080,257506385,259982987,127503717,140859998,153536695,165328574,176021533,185493486,193759188,200846935,263911000,185841341 Dl.O(d2) = 264227494,273988809,215810886,273988586,200846959,200846927,200846926,264496613,206828553,206828546,264210072,193759177,200846922,206828548,264753813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146195, s2 = 11523188, dlinesl.size( ) = 2 s1 = 11146195, s2 = 11523188, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11146195, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11146245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146245, s2 = 11286632, int(edited[s2]) = 0 s1 = 11146245, s2 = 11286632, d1 = 9, d2 = 6 Dl.O(d1) = 254611122,29334891,37903501,47825170,269802959 Dl.O(d2) = 258908676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146245, s2 = 11286632, dlinesl.size( ) = 12 s1 = 14887935, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11146365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146365, s2 = 11242632, int(edited[s2]) = 0 s1 = 11146365, s2 = 11242632, d1 = 3, d2 = 19 Dl.O(d1) = 254864664 Dl.O(d2) = 1549983,1549986,2675740,1549944,1549943,2675738,4454098,255038673,21491675,268615897,258063395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146365, s2 = 11242632, dlinesl.size( ) = 16 s1 = 11146425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13251785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13251785, s2 = 7087538, int(edited[s2]) = 0 s1 = 13251785, s2 = 7087538, d1 = 11, d2 = 16 Dl.O(d1) = 11452516,7617460,4819590,2904355,2904356,4819594,7617467,11452528,16437820,22622976,16437985,14596064,10043409,10043411,14596073,14505164,9981076,7851337,4983693,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010410,4983304,3010262,3010263,4983338,7850854,11758600,16815474,16239137,16239134,22400594,256406697,48243637,59630726,72365184,85959977,99917435,113940347,127820521,261730301,165638435,176310123,185755937,193993615,201051897,194729005,186605834,177281824,166726502 Dl.O(d2) = 268450200,11958748,8005471,8005470,11958747,17046659,23308100,30725877,39323656,49250117,60650585,73396991,87012489,101006074,115077225,129004139,142379777,155027307,166726500,177281822,262370256,192588664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13251785, s2 = 7087538, dlinesl.size( ) = 2 s1 = 13251785, s2 = 7087538, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13251785, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 735228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092427, s2 = 16268034, int(edited[s2]) = 0 s1 = 14092427, s2 = 16268034, d1 = 1, d2 = 1 Dl.O(d1) = 132853811,119033784,104849965,90681698,90681699,259740256,90681725,76813266,76813265,90681713,90681702,90681703,104849968,119033785,132853812,130396408,116556373,102457128,88453292,74819758,62022746,50530603,40494843,31799771,31799770,40494842,257510024,40494845,40494840,256387598,62022745,72325033,72325034,85918240,85613413,85613412,72380022,59645530,48258613,48258614,59645531,72380024,85974711,99932177,258119622,85974802,99932245,270837026,59544917,48158126,38249103,29684226,29684227,38249105,48158129,59544920,72279035,72562418,85974790,72380105,59645584,59645583,72380103,85974817,99932261,99932267,99932266,113954969,269822546,99563728,99563729,86160750,72562475,59827073,48440967,48440966,59827068,72562465,86160744,100126789,258743086,257510022,59645545,48258625,38348028,38348027,48258623,59544921,72279036,72025029,59288562,59288561,59544925,59544926,59544906,48158119,38249100,29684222,22332439,22332438,22080702,22080701,22332443,254777424,28763655,22332440,16185741,11250864,11250862,16185736,22332431,29684213,38249092,29684217,22332435,22332434,29684216,38249098,48158118,59544904,59544902,59544901,72279018,64554869,52655269,52655268,64554866,77737222,85613435,85613434,259039701,77737792,91665542,85870441,259379963,113837651,127706440,259449858,105873770,105873769,120086593,120086163,120086164,112120949,98161661,91665537,77737788,77737789,85870437,99823177,113837647,125954375,125954376,139303181,152009842,261240582,152009840,139523008,139523007,152254798,152254806,152254805,164140848,164140849,174960347,164140846,164140844,164140845,260586210,141196155,139523018,261632771,139523016,139523017,152254810,153244392,153244391,165061950,164140852,164140853,153244390,153244389,153244386,140562954,140562943,127217207,113358834,99356993,85413920,85413921,99356995,113358830,127217205,113955035,113358849,100254208,100254209,114284740,128168510,141526708,141196148,127834253,113955041,113955042,259986194,113955040,113955039,259986192,127217208,259666544,153244378,147153871,133929951,120086695,105873873,257205926,86250986,100217970,114251757,114251766,114251765,128138213,114251758,100217927,86250959,269509670,114251783,105873876,91665655,91665656,105873878,114251810,114251809,128138215,114251759,100217929,100217930,100217961,100217960,114251807,128138249,114251795,100217953,100217952,114251792,128138247,128138248,141499365,154164657,143488468,130157767,116246604,102184332,88192589,88192590,102184334,260282446,102184328,116246599,128138258,141499374,143386470,130055499,116146708,102089171,102089170,116146706,130055497,126642808,126642809,120086535,105873706,91665479,77737738,259039695,91665534,105873686,91665533,77737781,64555486,64555487,64555447,52655893,42269996,33289771,33289770,42269995,42270103,42270020,33289791,256649979,52655914,52655865,42269955,33289809,25529165,25529166,33289787,25529142,18919242,18919243,25529146,25529120,25529121,33289759,42269976,40359866,40359865,50394960,61884716,64555494,64555495,257796994,61884717,64555439,64555438,64555451,52655902,42270004,42270006,52655904,52655850,52655849,55207836,55207837,52655946,42270052,33289829,33289830,30825230,30825231,39429390,42270108,33289878,25529235,18919297,18919298,18919227,18919226,25529108,33289739,37988556,29427155,29427157,37988564,256649930,256555899,24285730,17904902,12684326,8615721,8615717,5600483,3476427,3476426,5600482,8615716,5600488,3476429,2062678,1183816,1183815,2062674,3476425,5600480,5600489,3476430,3476431,5600491,8615728,12684332,17904913,17904928,12684341,8615733,8615732,12684339,17904924,24285769,31799785,40494863,50530626,62022769,74819767,74819765,62022760,50530619,40494856,40494857,50530608,50530609,50530604,50530605,62022748,74819759,74819760,88453294,84347733,84347732,84347735,70788878,58071592,58071593,70788879,70788874,58071589,46699506,46699507,58071591,70788876,84347730,98255122,98255112,84347724,70788867,70788868,84347726,98255116,84347727,70788869,70788870,84347729,98255119,99584149,85633838,72045770,59310274,59310273,72045766,268939754,38000095,29437242,22104508,22104509,29437243,38000097,47916115,59310272,47916110,47916109,59310270,72045769,72832508,60095235,48699166,38776936,30193049,30193047,30193048,38776938,48699170,48699169,48699168,60095238,72832512,72832513,258379588,93239680,93239679,107642996,122017999,135946137,135946112,122017972,107642964,107642963,93239686,93239685,79123431,65767798,65767788,65767787,79123416,79123397,65767773,270060637,107642969,260281048,107642979,107642980,272053003,135946130,260281046,93239662,269998290,258471009,93239661,107642980,107642978,93239660,93239661,107642980,272053003,148103577,134981775,134981770,134981771,148103576,134981773,134981774,148103575,134981779,121173631,106907362,106907363,121173620,121173616,121173615,260519182,98713948,84786315,258671428,47117201,47117200,47117144,37219755,28694498,28694497,37219753,47117142,58495516,58495580,268920379,270289076,37219812,28694563,21443296,15447462,10680207,10680206,268208091,21443306,21443307,28694575,28694579,21443309,15447474,10680215,7054965,4441210,2667585,1544727 Dl.O(d2) = 132853811,119033784,104849965,90681698,90681699,259740256,90681725,76813266,76813265,90681713,90681702,90681703,104849968,119033785,132853812,130396408,116556373,102457128,88453292,74819758,62022746,50530603,40494843,31799771,31799770,40494842,257510024,40494845,40494840,256387598,62022745,72325033,72325034,85918240,85613413,85613412,72380022,59645530,48258613,48258614,59645531,72380024,85974711,99932177,258119622,85974802,99932245,270837026,59544917,48158126,38249103,29684226,29684227,38249105,48158129,59544920,72279035,72562418,85974790,72380105,59645584,59645583,72380103,85974817,99932261,99932267,99932266,113954969,269822546,99563728,99563729,86160750,72562475,59827073,48440967,48440966,59827068,72562465,86160744,100126789,258743086,257510022,59645545,48258625,38348028,38348027,48258623,59544921,72279036,72025029,59288562,59288561,59544925,59544926,59544906,48158119,38249100,29684222,22332439,22332438,22080702,22080701,22332443,254777424,28763655,22332440,16185741,11250864,11250862,16185736,22332431,29684213,38249092,29684217,22332435,22332434,29684216,38249098,48158118,59544904,59544902,59544901,72279018,64554869,52655269,52655268,64554866,77737222,85613435,85613434,259039701,77737792,91665542,85870441,259379963,113837651,127706440,259449858,105873770,105873769,120086593,120086163,120086164,112120949,98161661,91665537,77737788,77737789,85870437,99823177,113837647,125954375,125954376,139303181,152009842,261240582,152009840,139523008,139523007,152254798,152254806,152254805,164140848,164140849,174960347,164140846,164140844,164140845,260586210,141196155,139523018,261632771,139523016,139523017,152254810,153244392,153244391,165061950,164140852,164140853,153244390,153244389,153244386,140562954,140562943,127217207,113358834,99356993,85413920,85413921,99356995,113358830,127217205,113955035,113358849,100254208,100254209,114284740,128168510,141526708,141196148,127834253,113955041,113955042,259986194,113955040,113955039,259986192,127217208,259666544,153244378,147153871,133929951,120086695,105873873,257205926,86250986,100217970,114251757,114251766,114251765,128138213,114251758,100217927,86250959,269509670,114251783,105873876,91665655,91665656,105873878,114251810,114251809,128138215,114251759,100217929,100217930,100217961,100217960,114251807,128138249,114251795,100217953,100217952,114251792,128138247,128138248,141499365,154164657,143488468,130157767,116246604,102184332,88192589,88192590,102184334,260282446,102184328,116246599,128138258,141499374,143386470,130055499,116146708,102089171,102089170,116146706,130055497,126642808,126642809,120086535,105873706,91665479,77737738,259039695,91665534,105873686,91665533,77737781,64555486,64555487,64555447,52655893,42269996,33289771,33289770,42269995,42270103,42270020,33289791,256649979,52655914,52655865,42269955,33289809,25529165,25529166,33289787,25529142,18919242,18919243,25529146,25529120,25529121,33289759,42269976,40359866,40359865,50394960,61884716,64555494,64555495,257796994,61884717,64555439,64555438,64555451,52655902,42270004,42270006,52655904,52655850,52655849,55207836,55207837,52655946,42270052,33289829,33289830,30825230,30825231,39429390,42270108,33289878,25529235,18919297,18919298,18919227,18919226,25529108,33289739,37988556,29427155,29427157,37988564,256649930,256555899,24285730,17904902,12684326,8615721,8615717,5600483,3476427,3476426,5600482,8615716,5600488,3476429,2062678,1183816,1183815,2062674,3476425,5600480,5600489,3476430,3476431,5600491,8615728,12684332,17904913,17904928,12684341,8615733,8615732,12684339,17904924,24285769,31799785,40494863,50530626,62022769,74819767,74819765,62022760,50530619,40494856,40494857,50530608,50530609,50530604,50530605,62022748,74819759,74819760,88453294,84347733,84347732,84347735,70788878,58071592,58071593,70788879,70788874,58071589,46699506,46699507,58071591,70788876,84347730,98255122,98255112,84347724,70788867,70788868,84347726,98255116,84347727,70788869,70788870,84347729,98255119,99584149,85633838,72045770,59310274,59310273,72045766,268939754,38000095,29437242,22104508,22104509,29437243,38000097,47916115,59310272,47916110,47916109,59310270,72045769,72832508,60095235,48699166,38776936,30193049,30193047,30193048,38776938,48699170,48699169,48699168,60095238,72832512,72832513,258379588,93239680,93239679,107642996,122017999,135946137,135946112,122017972,107642964,107642963,93239686,93239685,79123431,65767798,65767788,65767787,79123416,79123397,65767773,270060637,107642969,260281048,107642979,107642980,272053003,135946130,260281046,93239662,269998290,258471009,93239661,107642980,107642978,93239660,93239661,107642980,272053003,148103577,134981775,134981770,134981771,148103576,134981773,134981774,148103575,134981779,121173631,106907362,106907363,121173620,121173616,121173615,260519182,98713948,84786315,258671428,47117201,47117200,47117144,37219755,28694498,28694497,37219753,47117142,58495516,58495580,268920379,270289076,37219812,28694563,21443296,15447462,10680207,10680206,268208091,21443306,21443307,28694575,28694579,21443309,15447474,10680215,7054965,4441210,2667585,1544727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092427, s2 = 16268034, dlinesl.size( ) = 2 s1 = 14092427, s2 = 16268034, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14092427, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 11147187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11147187, s2 = 11070482, int(edited[s2]) = 0 s1 = 11147187, s2 = 11070482, d1 = 12, d2 = 10 Dl.O(d1) = 257119474,16047149,11142442,11142443,16047151,268400327,47989194,258118689 Dl.O(d2) = 256170754,6009424,3758645,2251591,2251590,3758565,6009273,9181209,13428475,18847465,14938637,14938638,20837843,28002709,256807735,38023697,33189993,25444582,25444583,23082620,16829999,16830002,23082628,16830110,12482910,11769127,7857530,4987067,3012205,3012206,4987075,7857548,6009132,6009133,9180951,8453023,8453021,6009572,6009575,8453358,5460729,3357311,3357310,5460722,8453272,8453273,8453149,5460617,5460487,3357209,3357206,5460478,8452872,12481937,8453100,8453102,12482309,17652866,18847489,23996735,23996402,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857076,7857078,11768376,16828951,23081356,30494866,30494867,30496233,30496234,23997189,20159475,20159474,27052806,29419760,28016309,20850320,14950012,14950013,20850324,255422338,35140778,27055190,27055191,35140779,39093721,30497885,30497887,255614215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11147187, s2 = 11070482, dlinesl.size( ) = 8 s1 = 11852914, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11852914, s2 = 10446989, int(edited[s2]) = 0 s1 = 11852914, s2 = 10446989, d1 = 1, d2 = 71 Dl.O(d1) = 12503525 Dl.O(d2) = 47636112,59038134,258091237,259340951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11852914, s2 = 10446989, dlinesl.size( ) = 36 s1 = 11147635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11147805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11148185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11148185, s2 = 11056530, int(edited[s2]) = 0 s1 = 11148185, s2 = 11056530, d1 = 7, d2 = 12 Dl.O(d1) = 48175827,38266247,38266248,48175828,48876841,48876840,60269204,60269209 Dl.O(d2) = 258809401,88467230,88467267,74834109,74834108,74834056,62037516,62037515,50545584,40509853,31813807,31813808,257105475,40509850,40509851,50545581,62037528,258920637,74834181,74834081,74834080,259544803,74824509,62027820,258048755,58372480,71088666,71088665,71088748,58372497,47002338,37116463,256319452,15391788,10637204,10637202,15391785,21372436,28606807,37116437,47002298,55656116,55656115,68052849,71088647,84642766,71080381,58466738,258055943,62035907,257105351,40508423,50544094,62035877,50544070,50544071,50544104,50544105,62035917,68052151,68052150,58364307,46994233,256345206,58497660,58497661,256345196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148185, s2 = 11056530, dlinesl.size( ) = 14 s1 = 13437130, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11148533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11148533, s2 = 11196230, int(edited[s2]) = 0 s1 = 11148533, s2 = 11196230, d1 = 22, d2 = 25 Dl.O(d1) = 48244113,38333805,255909913,22400960,29763190,38333804,38333805 Dl.O(d2) = 58013741,257184486,268910249,58013738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148533, s2 = 11196230, dlinesl.size( ) = 26 s1 = 11148667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11148667, s2 = 10527120, int(edited[s2]) = 0 s1 = 11148667, s2 = 10527120, d1 = 11, d2 = 7 Dl.O(d1) = 59662244,72398057,85994668,99953480,113976282,127854241,141213561,153885690,165662433 Dl.O(d2) = 272100707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148667, s2 = 10527120, dlinesl.size( ) = 14 s1 = 13407739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11148767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11148767, s2 = 11247200, int(edited[s2]) = 0 s1 = 11148767, s2 = 11247200, d1 = 0, d2 = 8 Dl.O(d1) = 59675850,258765773,260609165 Dl.O(d2) = 153688283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148767, s2 = 11247200, dlinesl.size( ) = 36 s1 = 13437856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13437856, s2 = 11377114, int(edited[s2]) = 0 s1 = 13437856, s2 = 11377114, d1 = 37, d2 = 25 Dl.O(d1) = 48294797,48294798,48294527,38384013,38384012,43206059,34118845,34118846,43206061,256462566,39308617,30710876,30710877,39123197,30524928,23107401,16849340,16849339,23107394,30524919,254810772,31818050,31818051,40514517,47329742,47329740,255614704,36415123,32185559,24598443,18151416,18151417,24598447,32185566,39302836,46738079,51106837,40964875,32185572,24776248,18296346,18296345,24776245,28358598,35227323,35227321,37421475,28879572,21603970,21603972,28879578,29773965,38345205,48255591,39302755,39302754,49229881,40514501,34118816,26254095,26254094,26254162,19536204,19536203,26254157,34118901,41134094,41134093,51317661,47669310,37747395,37747396,40964844,40964846,41847361,38193839,29626886,22275243,22275244,29626888,38193843,41847364,41847365,254428384,39302770,38609522,38609521,48524940,47669347,46670956,36784843,28288424,28288425,32185548,32185550,29575933,22228573,16094666,16094665,22228569,22285818,16142179,16142178,22285814,21157832,15202100,15202099,10486111,6913772,4342361,4342362,255729143,795464,795466,1397878,2414914,4029937,6423642,6868811,8579223,8579226,10419501,10419500,6868824,6868823,10419515,15106766,21032530,16641250,16641247,22869118,29054763,21760169,15704989,254389878,7627340,4825745,4825744,6931799,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,11625979,11625981,8578260,8578261,12634098,17841306,22576398,16393421,16393424,16400222,16400224,16431345,22615919,19650685,14085025,9688314,6372848,6372847,9688308,14085013,14085945,9688836,9688835,14085941,14089995,9691189,9691131,9691130,14089887,19657011,26391407,32394595,36736977,28241927,23388287,17116502,16377886,16377888,17121521,17121517,23393299,22363718,19820051,19820050,22612876,16428464,11443704,11443705,16428467,22612880,19653888,14087515,14087514,19653886,19832993,26646346,23646761,17329878,12204811,12204812,17329879,21468658,15467033,10694830,10694831,14972040,10775682,7119783,4862362,4862367,7684600,11550263,11537734,270339615,262270199 Dl.O(d2) = 264826574,184907511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13437856, s2 = 11377114, dlinesl.size( ) = 32 s1 = 10921962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10921962, s2 = 15906770, int(edited[s2]) = 0 s1 = 10921962, s2 = 15906770, d1 = 6, d2 = 6 Dl.O(d1) = 257533530,140705662,153387503,165191089,175899614,185390227,193672581,200773632,206765699,260609834,185390225,175899611,175899609,185390222,185390219,175899608,165191082,153387493,140705651,140705652,153387497,258766468,257533526,113480242,113480241,127349830,140705655,153387499,140705658,127349834,127349832,140705659,153387489,140705649,127349825,127349826,140705652,153387497,258766468,257533526,113480242,99469599,85523079,71935112,59195358,47795007,47795008,47795009,59195360,71935115,85523081,99469603,113480246,112468801,98478574,84556558,70993284,58278705,46913500,37036232,28537944,21314847,15344242,255029467,6992501,254729557,15344241,21314844,255665926,19863190,26681266,34674691,43949342,54692974,258508751,80380927,87616663,74012568,61232039,257045839,31056158,23572529,17261188,12140896,8170359,5239411,3198552,1872407,1068014,600228,334374,334376,600232,1068021,254122231,511496,907056,1595547,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733781,2853086,2853085,4734677,254582983,3234262,1897160,1082855,608163,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097475,1921134,3267876,5319071,5299287,3250172,3249066,1907501,1089082,611683,611684,1089441,611872,611869,1089779,1908577,3250437,5299534,4961581,2996201,2996203,1740469,1740470,2996864,1870928,1870925,3196150,2889053,2889051,4792809,7305006,7305005,4958128,2993509,1738223,1738221,2993488,1766354,1074607,1074608,1883577,3215154,5259495,7309234,254782096,5247395,3205429,254180691,601734,601735,1070852,1877071,1890801,1078965,1078964,1890798,3225366,5270869,8174253,12144530,267892824,5251984,254263903,1079669,1079668,920271,920272,1617890,1091125,1091127,1910734,3253437,5244065,3202681,1875291,1069769,1069772,1875297,3202690,3212920,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997 Dl.O(d2) = 257533530,140705662,153387503,165191089,175899614,185390227,193672581,200773632,206765699,260609834,185390225,175899611,175899609,185390222,185390219,175899608,165191082,153387493,140705651,140705652,153387497,258766468,257533526,113480242,113480241,127349830,140705655,153387499,140705658,127349834,127349832,140705659,153387489,140705649,127349825,127349826,140705652,153387497,258766468,257533526,113480242,99469599,85523079,71935112,59195358,47795007,47795008,47795009,59195360,71935115,85523081,99469603,113480246,112468801,98478574,84556558,70993284,58278705,46913500,37036232,28537944,21314847,15344242,255029467,6992501,254729557,15344241,21314844,255665926,19863190,26681266,34674691,43949342,54692974,258508751,80380927,87616663,74012568,61232039,257045839,31056158,23572529,17261188,12140896,8170359,5239411,3198552,1872407,1068014,600228,334374,334376,600232,1068021,254122231,511496,907056,1595547,1740960,1740962,989309,989306,1740970,1127440,1127442,1974903,1975050,1975060,1974614,1974616,3245471,1904952,1904953,2854851,2854854,4735068,4735067,4733781,2853086,2853085,4734677,254582983,3234262,1897160,1082855,608163,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077638,1093731,614069,614072,1093818,1915248,3259731,5278585,3236414,1898619,1898623,3236386,5262103,3221498,3221495,1895947,1082139,607770,338214,338219,607701,338171,185740,185586,101524,101528,185630,337953,338483,608230,1082983,1897343,1901278,2786905,1885909,1097480,1097475,1921134,3267876,5319071,5299287,3250172,3249066,1907501,1089082,611683,611684,1089441,611872,611869,1089779,1908577,3250437,5299534,4961581,2996201,2996203,1740469,1740470,2996864,1870928,1870925,3196150,2889053,2889051,4792809,7305006,7305005,4958128,2993509,1738223,1738221,2993488,1766354,1074607,1074608,1883577,3215154,5259495,7309234,254782096,5247395,3205429,254180691,601734,601735,1070852,1877071,1890801,1078965,1078964,1890798,3225366,5270869,8174253,12144530,267892824,5251984,254263903,1079669,1079668,920271,920272,1617890,1091125,1091127,1910734,3253437,5244065,3202681,1875291,1069769,1069772,1875297,3202690,3212920,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10921962, s2 = 15906770, dlinesl.size( ) = 2 s1 = 10921962, s2 = 15906770, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10921962, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11148995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15172642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11149445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149445, s2 = 2245403, int(edited[s2]) = 0 s1 = 11149445, s2 = 2245403, d1 = 80, d2 = 42 Dl.O(d1) = 258088174,256456641,23027450,23027451,256955932,33749318,27095360,20196099,20196098,22449200,29816949,38389694,46420751,36557412,29815761,22447750,16278033,15901164,11023568,7298429,7298428,11023567,15901163,16280751,11322704,11322705,16281513,16281607,15759978,10914448,7218610,7218611,4752307,2864127,1662357,1662356,2864120,4752297,7517438,7518122,4752781,2864392,2864391,2864652,2864651,4753182,4754133,4754132,4596132,4596130,5178462,3159593,1849581,1055545,1055546,1662792,946079,946080,946194,1662746,946052,533518,533519,945821,533412,533411,945817,1662314,1662624,1662626,2864625,4752158,7517267,7519722,11320987,7517317,4752196,2864057,2864058,4752201,4752086,2863987,1662280,1662281,2863994,3159710,3159711,5178659,7519105,11322722,16280924,11322059,11322062,15760459,16281030,15760349,11321158,7517497,4752337,254534209,11321157,11322427,16281238,11322832,11322831,16281635,22450849,16714648,11672851,7781864,7781865,11672853,16714649,22951399,255089056 Dl.O(d2) = 86621374,73021508,60284805,268963779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149445, s2 = 2245403, dlinesl.size( ) = 42 s1 = 11149465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149465, s2 = 11480608, int(edited[s2]) = 0 s1 = 11149465, s2 = 11480608, d1 = 12, d2 = 7 Dl.O(d1) = 258151115 Dl.O(d2) = 185929023,185929024,185929021,176499252,176499253,263560271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149465, s2 = 11480608, dlinesl.size( ) = 16 s1 = 11149645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149645, s2 = 10986112, int(edited[s2]) = 0 s1 = 11149645, s2 = 10986112, d1 = 2, d2 = 9 Dl.O(d1) = 48466786 Dl.O(d2) = 256708074,7613577,7613578,254915831,5967022,3731371,2233923,254297655,1681535,1681539,2898027,4808583,4273846,4273844,4803242,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4896806,2951133,1711494,1711493,2951131,4896803,7734521,7583864,6814901,6814902,10350019,15022239,20930272,16583337,11563635,7696310,4870803,4273524,4273523,6813318,10348095,11561493,16426830,11442184,11442185,11619557,11619558,16411560,11427316,7596282,4905314,4905312,7746208,10025219,6588929,4128015,2469348,2469347,4128012,6588924,10025210,14469868,11557287,11557289,16576335,16437647,16437648,16642060,16642061,12838709,8730589,5683873,5683875,7496818,7496819,11291413,9854582,6473232,6473230,9854573,14343613,16447806,16447803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149645, s2 = 10986112, dlinesl.size( ) = 8 s1 = 11149673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149673, s2 = 11218834, int(edited[s2]) = 0 s1 = 11149673, s2 = 11218834, d1 = 30, d2 = 16 Dl.O(d1) = 258778961,100159451,114189822,115186287 Dl.O(d2) = 260063708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149673, s2 = 11218834, dlinesl.size( ) = 20 s1 = 11149711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149711, s2 = 11248718, int(edited[s2]) = 0 s1 = 11149711, s2 = 11248718, d1 = 13, d2 = 14 Dl.O(d1) = 48481048,48481049,59872697,49964949,39948005,36714133,36714132,46602324,57979488 Dl.O(d2) = 98142851,84249170,70697342,70697343,258155936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149711, s2 = 11248718, dlinesl.size( ) = 24 s1 = 11150121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150121, s2 = 16387970, int(edited[s2]) = 0 s1 = 11150121, s2 = 16387970, d1 = 54, d2 = 106 Dl.O(d1) = 259411351 Dl.O(d2) = 32381033,24761099,24761101,27111149,20210100,20210099,27111147,33616506,25816585,19167052,19167053,25275853,24761055,18284561,12977855,8834174,5756593,3584753,3584752,5756590,8834167,12977843,18284536,24761016,30804259,30804258,39409157,49338647,60741866,73490967,87109770,101108002,115186389,129118496,270984370,166834187,261375292,194282076,186074249,176657655,166016423,154263575,141607603,128257037,114380463,100356720,86400105,72804445,60066675,48670371,38748597,30165035,22775551,16560238,11542999,11543000,16560240,22775552,30165037,260034183,128257038,141607604,154263578,166016424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150121, s2 = 16387970, dlinesl.size( ) = 26 s1 = 11150299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150299, s2 = 11444204, int(edited[s2]) = 0 s1 = 11150299, s2 = 11444204, d1 = 0, d2 = 13 Dl.O(d1) = 59992924 Dl.O(d2) = 263569525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150299, s2 = 11444204, dlinesl.size( ) = 20 s1 = 13439764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11150427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150427, s2 = 11201056, int(edited[s2]) = 0 s1 = 11150427, s2 = 11201056, d1 = 7, d2 = 44 Dl.O(d1) = 52664035 Dl.O(d2) = 258812849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150427, s2 = 11201056, dlinesl.size( ) = 42 s1 = 11150671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150671, s2 = 11265282, int(edited[s2]) = 0 s1 = 11150671, s2 = 11265282, d1 = 11, d2 = 9 Dl.O(d1) = 48693701,38771747,256087490,7694796,11410146,11620355,7738866,7738865,9144864,5984353,3741995,3741996,5984355,7590589,4801394,4801395,7590591,11420441,11427804,11427803,16412062,11451315,7691723,4867462,2933026,1701097,1701098,2933031,4867468,7691733,254826440,7329611,7329645,4630259,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,539096,539094,539083,539085,956466,1681767,2898509,4809394,7329075,7599402,4807639,2897512,1681282,1681283,2897516,4807646,7599643,11420728,12837611,12837610,16426865,16412928,11428734,7597484,7597485,7608785,11442224,11413024,11413023,16396525,16439916,22625398,16448091,255036886,254501650,254225958,15595890,14927103,13318666,254482584,5953267,9099010,13318665,18711933,24379129,24379130,25237445,22467069,16299108,11340705,11340706,16299110,16520042,16520040,22725286,28898566,29831985,24253861,19843955,19843922,19541930,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787277,10787272,11338937,11338940,14189585,14189588,19809683,19809676,18672230,18672228,15590395,10785100,9754350,6413584,6413587,9754361,14189551,19809635,22760516,30147602,254734940,15008849,10338766,6805955,255366161 Dl.O(d2) = 256816903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150671, s2 = 11265282, dlinesl.size( ) = 12 s1 = 13541185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13541185, s2 = 9146504, int(edited[s2]) = 0 s1 = 13541185, s2 = 9146504, d1 = 25, d2 = 1 Dl.O(d1) = 257505459,72071280,72071292,256394544,42066388,33117481,256416518,52410202,256959044,72071284,85658359,85658402,258126312,47945236,59337061,52410197,256394542,59336978,59336979,72071253,81605356,81605355,95638076,84490819,70926517,70926516,59337023,59337021,72071288,59337128,47945338,38031455,38031454,47945336,59337125,269339100,64265512,64265513,77415416,77415415,91334132,105551973,113622519,99607812,85658358,72071283,72071282,85658355,99607809,257516804,74738605,61944049,60528473,60528472,73273095,85658336,85658360,91334121,88367595,88367594,258126308,99607867,112161181,98198550,84302337,269404966,50286554,61766437,74550409,86995626,74682358,61889298,50398957,50398955,61889296,256295512,98198549,258023414,125997366,128984449,123981838,109842454,95639138,81606527,74738613,74738614,88367601,100988363,100988362,94409121,80354818,66928652,54672055,54672056,66928653,80354819,66928667,54672066,54672046,54672045,66928639,80354807,94409091,94409092,99721227,99721226,108696278,94409109,80354809,80354810,86270235,81039014,81039013,72670207,59930337,48537186,48537185,59930336,59930376,258730974,53706946,53706945,55243654,44395523,35020159,26939242,26939243,35020162,44395519,35020157,35020158,43195234,34109013,26245048,26245047,256699265,53706944,43195227,43195228,49999121,53706845,43195130,34108930,26244990,19527639,13980581,9602544,9602543,13980577,19527629,21546398,15528994,10740080,7096087,7096086,10740076,15528989,21546393,28814763,31306883,31306882,39982211,35389285,27263824,27263825,24032858,17681825,12504694,12504693,17681818,16160898,16160897,13059363,8899001,8899003,13059366,18385547,24884162,29740571,29830892,24884177,18385560,18385561,24884110,18385507,13059336,8898986,5806988,5806989,8898988,255233475,24884082,24884153,32528003,32528037,257155141,32528010,24884158,18385545,18385544,24884134,32527917,24884084,18385490,18385491,24884085,18385499,13059332,8898984,8898983,13059330,268283231,32527930,41377442,51602661,42663644,33634188,25831418,268151657,13695625,19178687,25831414,32527926,41377435,51602654,53115731,53115719,53115720,53115732,257009215,39150538,39150553,39150552,49080650,53115721,51602704,49080655,49080654,49080642,39150546,39150545,48729811,42663666,33634207,25831431,19178695,19178696,25831434,25831429,19178694,19178693,25831427,33634202,39150534,39150533,39150544,257009217,48729805,48729806,60124665,49080627,49080626,48729813,48729812,60124669,72861564,86457230,100414229,114438717,100825690,100825689,114876555,127393026,134131692,259762184,106100559,91905646,86844249,73231098,60484121,60484120,73231096,86844245,100825644,100825688,86844278,73231123,73231122,86844276,100825684,114876551,272237489,128772661,119677617,261236545,114876502,114876501,272237487,261188814,118522183,114876563,100825705,258821195,60484161,60484160,73231133,86844288,91216500,91216499,105438963,105438968,105438969,91216505,77296211,64147113,64147114,77296213,91216510,102324760,102324762,116417371,125502314,125502315,138834207,142895694,142895695,129580277,115694539,115694538,129580273,129580236,261275221,151536898,151536897,159187079,260953408,260716032,146811796,146811795,261831560,167723810,156119548,143583304,143583305,156119550,167723812,159187760,146812629,146812628,146811762,133552837,119678055,105439248,260028092 Dl.O(d2) = 37327835,28791146,21526739,15514309,10729870,10729871,10729883,10729884,15514331,21526801,28791261,37328054,47237433,47237432,46986242,46986243,47237444,47237445,58630617,58630350,47237208,37327915,37327914,37327905,37327904,257455413,37327941,37327940,47237253,58630391,58630253,47237122,47237121,258066327,84943499,258655560,258066321,58630157,47237041,37327814,28791137,21526733,15514305,10729868,10729869,15514307,21526734,28791140,37327809,37327808,47237029,50361314,257675493,74637877,84943450,84943449,98869980,85706291,85706290,88267965,269409674,88267966,102266185,88267964,269409676,61845528,74637870,257092554,61848497,74641094,72285029,59550850,48164276,48164277,59550852,72285032,85706295,72285013,59550833,48164252,38254978,29689706,22337001,22337002,29689708,38254982,256298114,40055147,40055148,40055155,40055154,48164262,48164263,50075008,40055146,268692464,12366410,12366411,255566945,256524375,40055152,40055153,256836798,61553415,50075012,50075011,61553413,71298965,71298964,84873423,85613545,85613544,99563863,113580440,258262556,257070950,95146776,81089322,81089320,86054211,72455623,72455622,81065715,67598099,55256572,55256571,67598097,259155735,86054207,257482274,59719443,72455612,86054209,259341976,81062868,81062869,95120405,95240207,81184928,67719819,55379869,44533555,44533554,55379866,67719816,73073323,86677899,100650704,114696060,115804917,258250172,74180243,257641060,39900136,31223384,31223385,39900138,39900134,39900135,256006992,35166478,39903710,39903711,31711407,24203641,17833945,17833944,24203638,31711405,39920499,31244776,23760306,23760305,27078712,24203624,17833937,12628357,12628356,17833936,24203621,24203644,31711409,36831031,40403546,35166466,27078703,20181694,14479764,14479763,20181693,27078701,35166463,36831067,36831068,31711395,24203626,24203627,256549027,50437561,256511718,49923425,44544169,44544168,35166470,27078708,27078709,29919131,29919132,37042907,37514764,37514765,29719295,22363075,22363076,29719297,38285905,48195043,49217698,49217699,269370565,48195046,48195045,59581394,59581392,48195041,38285899,38285898,48195039,59581390,72315986,73363134,270315068,49217697,58325280,58325282,71040670,84604454,271301151,86319769,72722258,72722259,84604446,71040656,58325265,46958090,46958089,58325262,71040650,84604435,98528956,112523489,115013506,260670957,260518533,112523494,100281885,100281882,86319775,86319776,100281884,258787713,59984758,48592687,268955839,30098706,22716801,22716800,30098704,22716806,255932167,38676166,38676179,38676146,30098699,22716799,22716798,30098696,38676140,48592670,57794434,46439112,36574082,36574081,41916635,32976579,25253736,18682856,13289908,13289907,18682855,20926520,15018574,10346390,254476930,20926522,20933971,15025909,10353761,10353762,11532958,16546951,254910685,5932936,3709662,2221503,254439193,9072615,13289905,18682854,25253731,256340736,21616529,15586647,10782423,10782422,9088378,5945360,5945361,5936371,3711853,2222768,1289382,736057,736058,1289394,2222806,3711928,5936462,4288829,2564184,2564187,1861203,1861206,3179624,5206165,3176250,3176249,2219859,2219858,3706635,5927940,9065681,13281526,10375236,10375237,15034209,18707103,13313819,9094508,9094507,13313818,18707101,25279779,25483725,25483726,18975153,13539707,9268681,6071032,3798469,2275138,1319332,1319333,2275145,3798481,6071054,9268729,13539735,9268700,9268698,13539528,13539530,18974877,20803339,18881393,13455287,13455293,12830886,8921092,5821821,5821822,8921036,8921032,13091091,18430040,24943955,28892687,21616541,15586654,10782427,7124422,7124421,10782425,15586650,21616537,268618613,28181742,28181743,21459925,21459926,255969180,32979182,25256303,25256302,20999103,15083673,10403832,6858073,4303944,2573263,2573261,4303942,6858067,10403828,15083666,20999093,21459934,15460000,15460001,21459936,28715700,21459930,15459997,10702496,10702495,15476675,21479497,28093589,28715698,28715702,37246667,28715678,21479468,20999092,20999091,21479472,15476655,15476656,10702492,10702494,15476671,20999098,15476662,15476663,21479479,28736829,21479499,15476677,10702498,7070732,4451690,4451689,254735849,15476673,21479495,23150988,16890219,11819010,11819011,16890225,23150996,30019819,22647287,16456394,11465991,11465992,13567251,13567250,19009568,25624200,33389789,29633866,22281777,16137809,11210398,7438281,4700115,2831718,1642910,1642909,2831711,4700106,7438263,11210363,11818976,7897264,7897262,11818972,16890155,14181431,14181428,19798445,21164701,15208109,10490576,10490575,11225040,7448078,4705836,2834854,1644593,935132,935110,526978,526979,935111,1644559,2834794,4705738,7447949,11224885,16156387,268403077,11224889,7447954,7447953,4705789,2834827,1644581,935129,526988,295264,163311,254086323,526981,935117,1644562,2834801,4705752,7447972,11224914,11224929,11224932,16156429,22301967,16156416,16156417,22301991,29653643,38219671,29772918,22409427,16246075,14588737,10038449,6597023,4132963,254216599,1429146,2472330,2472331,4132962,6597021,10038445,14588732,20328003,20328002,268343693,35387615,257333281,68115206,81603922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13541185, s2 = 9146504, dlinesl.size( ) = 8 s1 = 11150923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11150959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150959, s2 = 11334748, int(edited[s2]) = 0 s1 = 11150959, s2 = 11334748, d1 = 34, d2 = 17 Dl.O(d1) = 48744381,38824236,34004403,34004404,36851149,28353654,28353655,22215600,22215597,16619524,16619525,13591828,13591831,19040592,25659627,22762184,16620623,16620622,22843643,26299104,19576172,14023868,14023867,16550090,22762927,30150417,30236769,30236770,256380189,29405166,33296881,42278109,257797579,47887651,47887650,38734050,30152256,22764453,16551131,16551130,255935403 Dl.O(d2) = 100343273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150959, s2 = 11334748, dlinesl.size( ) = 52 s1 = 14245247, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11151373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151373, s2 = 10764529, int(edited[s2]) = 0 s1 = 11151373, s2 = 10764529, d1 = 0, d2 = 0 Dl.O(d1) = 48815270,48815269,60211152,72103878,72103898,72103877,256979072,70550472,72950128,60211181,60211180,72950133,85820362,72227981,59492438,48104208,48104207,59492436,66865879,66865748,54607762,54607763,59503735,59503734,72238702,74041423,66865981,66865982,66866040,66866041,72950163,86549373,85820344,72227961,66866035,66865874,66865875,59503589,48115847,48115848,52141676,63964493,77081116,90966915,94351504,80295058,80295059,85820389,72228015,59492475,59492474,72228012,80295181,66865850,66865851,54607887,54607888,54607738,54607737,54607800,59503596,72238600,66865893,66865705,54607725,54607724,66865699,54607908,43864826,34594046,26606829,19799540,14182184,14182185,19799544,26606839,34594071,43864877,48116090,59503931,54607966,54607965,48116002,38205126,29638428,22286573,22286571,29638423,38205112,48115970,59503767,64202834,52352444,52352443,64202829,66865724,54607742,43864730,38205083,38205084,48115924,59503706,54607893,43864815,34630879,34594020,34594021,43864767,40530496,40232723,31546458,24042950,17690833,17690832,24042949,26348944,26348945,256158180,41158641,32343897,24728160,18255319,12952062,8812977,8812976,12952060,18255315,24728155,32343893,41158633,49029491,49029492,257501290,50679669,62197796,75018725,76007464,89784726,89784729,76007469,63024370,63024369,76007467,72226116,269804132,38190904,38190905,256921022,72226119,85818336,99771109,259907496,72226114,59490690,269639933,55423369,257526458,63024365,258343235,63024354,257143951,257143949,63024352,75018720,88667574,77411199,77411200,91329758,90849828,258376815,52039554,256618869,32804319,41724431,37383843,28843985,28843984,256878709,48238024,269812853,85955483,72360010,59625180,48238037,38328052,38328051,48238035,258138121,59625173,59625174,72360004,85955485,84991027,269812855,59625172,48238038,48238016,48238017,52039542,258761575,59625170,48238027,48238028,52039569,257762497,270587670,63859161,76970985,63859159,52039562,41724442,269068093,256948635,255909591,255909593,38328046,48238023,257471220,72360005,72359999,59625161,48238019,48238018,52039579,52039578,52039563,269068087,32804313,32804314,41724426,257762491,259003849,95141913,269299288,55280852,55280851,63859144,72979044,72979043,257925426,91694522,77766863,77766864,75448659,75448660,89200373,101919995,87947629,257925428,59995778,48603941,48603940,48603938,48603939,59995776,52683225,256881128,269788144,257413964,37790031,42296642,36767726,28272738,21069807,268376535,36767722,46652373,42296637,33316062,25554140,255266941,13505075,18941280,25554142,28272771,21069823,15134722,10438450,10438451,15134724,21069826,21069806,15134710,10438444,10438443,10490409,15207892,21164463,28381961,29580392,29580393,255812712,21165524,15208650,15208651,21165527,25554160,24387115,24387116,31919685,24387132,17987570,17987571,24387140,28219877,28219874,25554214,25554213,33316060,31384065,23887452,17540897,17540896,21079448,15141435,10442991,10442993,10438442,10438441,11048510,11048512,15925378,22026258,17873488,12657132,12657131,15134745,10438460,6881352,6881350,255015009,21069835,256294725,46652415,58024698,70738792,84290286,70738794,58024695,46652411,46652410,58024691,60791461,257613360,46652517,36767862,28272883,256076078,30857725,30857723,39462537,49390918,60791463,73538525,269841172,89745451,256470752,51304934,41122190,255523534,31384044 Dl.O(d2) = 48815270,48815269,60211152,72103878,72103898,72103877,256979072,70550472,72950128,60211181,60211180,72950133,85820362,72227981,59492438,48104208,48104207,59492436,66865879,66865748,54607762,54607763,59503735,59503734,72238702,74041423,66865981,66865982,66866040,66866041,72950163,86549373,85820344,72227961,66866035,66865874,66865875,59503589,48115847,48115848,52141676,63964493,77081116,90966915,94351504,80295058,80295059,85820389,72228015,59492475,59492474,72228012,80295181,66865850,66865851,54607887,54607888,54607738,54607737,54607800,59503596,72238600,66865893,66865705,54607725,54607724,66865699,54607908,43864826,34594046,26606829,19799540,14182184,14182185,19799544,26606839,34594071,43864877,48116090,59503931,54607966,54607965,48116002,38205126,29638428,22286573,22286571,29638423,38205112,48115970,59503767,64202834,52352444,52352443,64202829,66865724,54607742,43864730,38205083,38205084,48115924,59503706,54607893,43864815,34630879,34594020,34594021,43864767,40530496,40232723,31546458,24042950,17690833,17690832,24042949,26348944,26348945,256158180,41158641,32343897,24728160,18255319,12952062,8812977,8812976,12952060,18255315,24728155,32343893,41158633,49029491,49029492,257501290,50679669,62197796,75018725,76007464,89784726,89784729,76007469,63024370,63024369,76007467,72226116,269804132,38190904,38190905,256921022,72226119,85818336,99771109,259907496,72226114,59490690,269639933,55423369,257526458,63024365,258343235,63024354,257143951,257143949,63024352,75018720,88667574,77411199,77411200,91329758,90849828,258376815,52039554,256618869,32804319,41724431,37383843,28843985,28843984,256878709,48238024,269812853,85955483,72360010,59625180,48238037,38328052,38328051,48238035,258138121,59625173,59625174,72360004,85955485,84991027,269812855,59625172,48238038,48238016,48238017,52039542,258761575,59625170,48238027,48238028,52039569,257762497,270587670,63859161,76970985,63859159,52039562,41724442,269068093,256948635,255909591,255909593,38328046,48238023,257471220,72360005,72359999,59625161,48238019,48238018,52039579,52039578,52039563,269068087,32804313,32804314,41724426,257762491,259003849,95141913,269299288,55280852,55280851,63859144,72979044,72979043,257925426,91694522,77766863,77766864,75448659,75448660,89200373,101919995,87947629,257925428,59995778,48603941,48603940,48603938,48603939,59995776,52683225,256881128,269788144,257413964,37790031,42296642,36767726,28272738,21069807,268376535,36767722,46652373,42296637,33316062,25554140,255266941,13505075,18941280,25554142,28272771,21069823,15134722,10438450,10438451,15134724,21069826,21069806,15134710,10438444,10438443,10490409,15207892,21164463,28381961,29580392,29580393,255812712,21165524,15208650,15208651,21165527,25554160,24387115,24387116,31919685,24387132,17987570,17987571,24387140,28219877,28219874,25554214,25554213,33316060,31384065,23887452,17540897,17540896,21079448,15141435,10442991,10442993,10438442,10438441,11048510,11048512,15925378,22026258,17873488,12657132,12657131,15134745,10438460,6881352,6881350,255015009,21069835,256294725,46652415,58024698,70738792,84290286,70738794,58024695,46652411,46652410,58024691,60791461,257613360,46652517,36767862,28272883,256076078,30857725,30857723,39462537,49390918,60791463,73538525,269841172,89745451,256470752,51304934,41122190,255523534,31384044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151373, s2 = 10764529, dlinesl.size( ) = 2 s1 = 11151373, s2 = 10764529, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11151373, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 10764528, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11151457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151457, s2 = 11481920, int(edited[s2]) = 0 s1 = 11151457, s2 = 11481920, d1 = 6, d2 = 2 Dl.O(d1) = 259430969 Dl.O(d2) = 176801400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151457, s2 = 11481920, dlinesl.size( ) = 14 s1 = 11151485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11151573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151573, s2 = 14023326, int(edited[s2]) = 0 s1 = 11151573, s2 = 14023326, d1 = 6, d2 = 10 Dl.O(d1) = 48867684 Dl.O(d2) = 255145968,22960642,19063804,13609583,9319071,9319070,13609582,19063802,20340367,20340365,22728829,22728828,21622993,21622992,28898290,28896532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151573, s2 = 14023326, dlinesl.size( ) = 14 s1 = 11152219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11152219, s2 = 10984950, int(edited[s2]) = 0 s1 = 11152219, s2 = 10984950, d1 = 60, d2 = 84 Dl.O(d1) = 259442145 Dl.O(d2) = 12304500,8310768,5362473,5362472,7085196,8263148,254398463,254398461,5546740,5546739,8548337,8548338,8263263,5331259,3276997,1927516,1101315,1101316,1101645,1928147,3278112,4945925,2985100,2985099,254370089,1733191,1733190,2985307,4946289,7799953,8550478,12599710,11241429,7461457,4714971,2840417,2840416,4714967,7461451,7459107,4713365,4713366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11152219, s2 = 10984950, dlinesl.size( ) = 80 s1 = 11152329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11152329, s2 = 11381700, int(edited[s2]) = 0 s1 = 11152329, s2 = 11381700, d1 = 20, d2 = 29 Dl.O(d1) = 257506650,86830105,100811602,102153817 Dl.O(d2) = 262208000,219071479,215721264,272200496,215721264,259964510,200715998,258096830,257486642,259345984,154291124,141635876,128285580,260037175,86430922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11152329, s2 = 11381700, dlinesl.size( ) = 14 s1 = 11152525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11152525, s2 = 10982520, int(edited[s2]) = 0 s1 = 11152525, s2 = 10982520, d1 = 10, d2 = 1 Dl.O(d1) = 257591573,30573345,30573344,255965117 Dl.O(d2) = 5022330,3040037,254174275,568638,568637,1008950,1770323,3040035,3449520,3449521,254274923,1135611,637164,637165,1135616,1705541,969508,546030,305830,305828,169252,169247,305840,546055,969553,1705642,2011814,1150546,1150547,2011821,3374933,5483989,3440421,2061808,1183320,664705,664706,1183323,2061813,3473004,3473003,254275149,1989533,254374889,3038289,3414351,2015270,2000192,1143274,254106939,254137259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11152525, s2 = 10982520, dlinesl.size( ) = 2 s1 = 11152525, s2 = 10982520, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11152525, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 3381915, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11152683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11152841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11152943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11152951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14193332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153763, s2 = 10494901, int(edited[s2]) = 0 s1 = 11153763, s2 = 10494901, d1 = 7, d2 = 10 Dl.O(d1) = 257009198 Dl.O(d2) = 255963632,255533857,30807949,39413062,39413070,39413069,38070083,38070082,47982350,49342642,39413067,257028927,258197986,49342637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153763, s2 = 10494901, dlinesl.size( ) = 12 s1 = 14061629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153845, s2 = 11248402, int(edited[s2]) = 0 s1 = 11153845, s2 = 11248402, d1 = 3, d2 = 11 Dl.O(d1) = 60758015 Dl.O(d2) = 101124095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153845, s2 = 11248402, dlinesl.size( ) = 14 s1 = 11154079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154079, s2 = 11108950, int(edited[s2]) = 0 s1 = 11154079, s2 = 11108950, d1 = 108, d2 = 83 Dl.O(d1) = 257072830,5195911 Dl.O(d2) = 255568365 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154191, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11154245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154245, s2 = 11016048, int(edited[s2]) = 0 s1 = 11154245, s2 = 11016048, d1 = 2, d2 = 5 Dl.O(d1) = 268901562,268478260,13101014,254635886,5827459,268018055,18443117,24961182,24961187,18443119,13101012,255236953,24961186,32629993,256608633,257750089,257750087 Dl.O(d2) = 13101013,254635886,254293288,404457,226508,124669,124670,125813,68428,37095,37098,64463,64467,64407,62325,62324,62353,113871,113913,208309,379513,254196415,254110609,219903,204626,111893,61337,35498,35494,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64461,64396,64392,64764,64768,118405,215853,389389,254430631,8800275,255225861,24708128,269040763,41131056,41131057,33954901,26117822,19424549,19424548,26117819,32090897,269026637,257411263,15119829,255804601,36745671,46280688,257217262,14911108,10252959,6737049,4221279,2523947,1454520,1454519,267821015,6737042,10252949,14911079,19062728,19062726,20805986,14911241,10253034,6737088,6737089,4317380,4317376,6877819,10432556,10253549,6737417,6737416,10253546,14912058,16028478,21048358,25686575,21052856,21052854,28253366,28250547,28250546,28993880,36746607,28256655,21055771,15124321,15124317,21048724,21052201,21052200,23206901,16936059,11853194,11853195,16936060,15120478,10429303,10429304,15120480,21050632,21050580,15120446,15120447,21050582,21050378,21050377,21053167,28253684,255680133,13608619,13608620,12819194,8715886,8715885,12819192,18081686,24511086,32085008,37539155,28993912,21709540,21709541,20805940,14911207,10253011,10253010,12821369,8717139,8717138,12821367,18082158,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716629,268125023,256064591,26252610,26252608,34117215,257853937,34313375,34313374,43414561,48879192,38960561,30375508,30375507,34312883,26434729,254969454,15238450,10512029,6931882,4355247,4355249,6931858,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,12030236,17119212,17309632,17309633,19653957,19653958,15867725,15867724,17846938,24216281,254540380,24784495,24784494,32409305,254359486,23181325,16916336,16916337,18681297,14198368,9760273,9760275,11837344,7911090,7911089,11837338,14092404,12573081,12573080,11838701,11838703,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,7357226,11093494,15980025,12895936,12895935,254761672,23391947,22074011,15968844,11084221,7350353,7350354,11084223,15968848,22074018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154245, s2 = 11016048, dlinesl.size( ) = 2 s1 = 11154245, s2 = 11016048, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11154245, Dl.E( ) = 10, 7.15e-06 seconds used appending s1 = 13445002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13445002, s2 = 7102212, int(edited[s2]) = 0 s1 = 13445002, s2 = 7102212, d1 = 11, d2 = 4 Dl.O(d1) = 255945153,38849640,48769573,60163980,72900838,83929487,70403226,70403225,83929485,97788516,111711210,101212519,260642685,260042459,260089025,87211517,259472633,87211516,73589236,73589235,259472631,115290939,261262261,115290962,115290951,101212530,101212529,101212499,101212498,101212503,260089023,260089027,87211528,87211529,101212514,87211527,73589246,60839583,49437946,39507018,39507017,49437944,269849687,70403233,57709237 Dl.O(d2) = 142590946,129219532,129219533,142590948,260687455,115290960,111711212,259250537,258000317,57709233,70403227,60839592,49437951,49437952,60839595,73589258,73589264,73589263,87211545,101212532,101212535,101212534,101212538,115290957,129219533,142590948,260687455,101212542,258848043,60839600,258000319,46360057,257389613,70403229,259250539,261050389,262612805,183947927,192415797,199706267,205872693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13445002, s2 = 7102212, dlinesl.size( ) = 8 s1 = 11154323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154323, s2 = 10785498, int(edited[s2]) = 0 s1 = 11154323, s2 = 10785498, d1 = 38, d2 = 42 Dl.O(d1) = 60848918,73404569,72733777,59996501,59996502,72733779,86331540,86330824,72732969,59995484,48603576,38687595,30111546,22731287,22731288,30111548,30111553,31227056,31227055,39903901,49923627,60780066,60780065,60780064,49378872,254543122,39450762,39450761,254242998,30097204,23414864 Dl.O(d2) = 29542995,38106255,269806997,72134055,59403607,268996233,31355844,256203091,19849417,26664543,34656136,43929107,34656140,26664545,19849419,19849420,23862931,31356654,40036434,50055450,55621121,50055506,40035690,40035691,37783963,37783962,40036366,31621012,24115640,17754615,17754616,24115637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154323, s2 = 10785498, dlinesl.size( ) = 2 s1 = 11154323, s2 = 10785498, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11154323, Dl.E( ) = 44, 1.81e-05 seconds used appending s1 = 11154367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154367, s2 = 11661268, int(edited[s2]) = 0 s1 = 11154367, s2 = 11661268, d1 = 23, d2 = 28 Dl.O(d1) = 49458020,39524418,39524419,40186061,31500885,31500882,31500869,31500867,30755546,30755547,28231163,23709852,17386370,12251836,12251837,12552875,8510968,8510969,254410606,24079494,31585374,32836447,41757358,254283574,36724870,28231114,25131412,18578508,13202881,13202885,12539933,8501005,7840765,4977232,4977237,7840788,11743738,12541800,8502067,8502070,5560285,3445021,3445019,5560275,3445045,3445049,5560352,8563171,12615172,17817793,18865388,18865387,18864668,13441530,9190899,6016549,6016552,9190909,13441545,14981869,10313869,6816701,4275848,2556458,1472507,1472508,2556464,2538466,2538212,2538211,2538293,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279107,2758624,254345109,7270907,10270615,13291995,9074536,9074535,13291993,14976071,14453737,9944021,6535684,4094972,4094974,6535688,9944027,14453743,254166330,20150154,20150153,24197935,24197936,28231240,27044466,20152436,255748017,35130261,38041189,255464494,26893410,20012218,20012220,24082764,24082767,23796782,17464402,12312335,8316429,8316430,12312337,17464408,23796794,21794158,21794154,22183036,16056316,11148540,7394417,4671407,2814424,2814423,4671405,7394411,11148533,14575534,10029521,10029523,14575542,20310189,21064884,21064885,21792413,29090463,21793531,15734710,15130937,10436041,10436042,15130943,21064926,15738150,10899811,10899812,15738155,15739523,10900675,10900676,15739530,21792883,15734229,12294123,8303491,5357498,5357496,8303484,12294102,254844648,8315121,5365338,5365337,8002787,11954657,17041143,255171262,37645107,29096025,28266425,28266426,28267472,21066363,21064702,15130774,15130775,15132058,21066340,28268849,29094998,23301201,23301202,29668891,29668892,26440173,19700858,14125673,9718157,6393125,6393126,9718158,12579347,17757324,17757325,17763830,17763829,24126694,25888110,19228280,13736177,12624959,267848756,17829992,17771488,12576606,267746446,24135204,31589870,24101293,254137342,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,12540352,17725035,24082314,30566287,33307004,26439765,19700388,19700389,254250520,17775370,12579859,12579858,17775368,24139626,17811279,17811280,17728179,12542526,8502483,8502482,12542524,17728176,254189180,30237948,36429537,254866510,269794037,40184988,31499928,31499929,40184989,50207365,49744067,48225867,38316370,29747563,29747564,38316371,37012248,37012249,40185594,39724688,39724689,36989531,28492444,21275701,21275703,28492448,36989539,38240237,256120157,25348945,33079883,42023912,50219870,48149490,46878441,46878440,58245476,64385206,64385207,64385210,52511642,42153790,33194767,33194768,33194562,33194561,268434486,47970851,268228368,16035286,11133951,11133953,16035291,18589465,18589463,25145283,19264708,19264706,22807684,16590334,11570107,11570104,16590328,18589118,13209979,9004820,5878294,5878291,9004817,13209975,18589113,25144816,255938724,52087102,258284784 Dl.O(d2) = 74275607,87878022,88169315,74554247,61770616,50290781,48001477,254415158,22183954,16057102,11149091,7394763,4671608,2814529,2814526,4671623,5876062,9000430,13202617,13786956,13786955,17727942,24085244,30038010,30038009,31663728,24153047,17785801,12588296,8540539,8540540,12588306,17745571,24099376,17740715,17740714,24085608,24147514,24147515,25463696,18863557,18863556,18555024,13184411,13184410,18555021,25103814,24135096,19706000,17705560,12523952,8485870,8485869,12523950,17705553,22316375,16171301,16171304,21064555,21794191,21062521,21062522,21067895,22974122,16737504,11693713,7798963,7798962,11693710,16737494,21302059,21302060,19129897,19129896,25769829,27271960,20336232,14594902,10042652,6599655,6599654,10042649,14593849,14593848,10963469,7257090,7257095,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,14528463,14528461,16604115,16604114,19801515,19801516,20246255,19337685,13828937,13828940,19199588,19199587,25856413,33662329,35335403,29214489,29214490,34094109,26231968,26231969,31839815,24320495,17933467,12706912,8633297,7706733,7706734,11578273,16601226,22821065,30213059,25898852,19238323,19238324,16878763,11808681,7887575,7887574,11450235,11450236,15959559,267765934,11579586,16601624,22821578,25856617,21955889,21955890,21903988,15995257,11103872,7363700,7363701,11103875,15995263,12697930,8626686,8626688,10809980,9744405,6407459,4019861,4019860,6407453,9744391,7707415,4877874,2939155,1704356,968787,968788,1704363,2939165,4877897,7707456,7706606,4877399,2938908,2938907,3152865,3152863,5170882,8075912,12016804,17102466,23371235,26438710,26438711,34317485,33169753,25427391,18833961,18833960,25427390,257196703,64350714,77516125,91445907,98341634,98341635,112324528,269790704,258353330,31085082,31085083,39763259,49782558,58160334,70874597,84432075,98341642,98341621,84432057,70874584,255421080,36915017,255421082,49782557,49782558,58160334,70874596,257469750,270301698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154367, s2 = 11661268, dlinesl.size( ) = 26 s1 = 11154421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154421, s2 = 10492520, int(edited[s2]) = 0 s1 = 11154421, s2 = 10492520, d1 = 1, d2 = 1 Dl.O(d1) = 49466748,39532803,39532804,49466753,60870075,50056986,40037448,40037449,40037461,40037465,40037497,40037496,50057044,46456315,36590109,36590110,41304527,41304526,51522368,63235544,60870027,49466702,39532776,39532778,49466706,51522228,51522227,268725076,39532810,39532809,49466762,60870058,61535939,50057110,40037548,40037549,48223302,38313419,38313421,48223307,48223318,51522331,51522328,51522327,51522326,51522337,51522335,63235512,71331791,58599443,58599444,71331797,63235495,51522358,51522356,60204184,60204185,51522400,41304550,32461406,24823644,18331968,18331969,24823648,32461413,41304560,51522412,48807139,48807138,60204211,51522251,41304451,32461354,24823623,24823624,32461357,41304456,51522255,63235426,74427336,61645569,60204197,60204196,71910973,59173041,59173040,71910969,76250457,257386048,86543827,72944026,60204139,60204138,65189923,57662162,46317941,46317940,57662160,63235459,63235460,63235467,51522293,41304482,32461371,268196424,18331964,24823631,32461382,41304499,51522314,63235488,63235496,74679694,74679693,63235433,51522261,41304462,32461361,32461362,41304465,51522253,63235423,72944047,60204209,48807136,38884830,38884828,48807130,60204071,72943973,60204146,60204148,63235531,63235532,76250485,72943910,60204143,60204142,61886556,50396144,40360847,40360846,50396138,61886548,74679700,72943897,60203974,48806905,38884653,38884654,48806906,269293834,72943964,86543856,100506055,100506061,269400962,72943975,60204073,51522257,51522258,63235430,72487817,86085169,72944024,60204135,48807094,38884807,38884806,48807091,60204130,51954696,41647896,41647895,40523133,40523132,50559567,62052010,74679702,268901506,62524939,51954738,51954739,63769587,60446140,60446142,60204065,60204066,59173077,57662029,46317789,36464957,36464956,30515367,23099496,23099495,256022890 Dl.O(d2) = 49466748,39532803,39532804,49466753,60870075,50056986,40037448,40037449,40037461,40037465,40037497,40037496,50057044,46456315,36590109,36590110,41304527,41304526,51522368,63235544,60870027,49466702,39532776,39532778,49466706,51522228,51522227,268725076,39532810,39532809,49466762,60870058,61535939,50057110,40037548,40037549,48223302,38313419,38313421,48223307,48223318,51522331,51522328,51522327,51522326,51522337,51522335,63235512,71331791,58599443,58599444,71331797,63235495,51522358,51522356,60204184,60204185,51522400,41304550,32461406,24823644,18331968,18331969,24823648,32461413,41304560,51522412,48807139,48807138,60204211,51522251,41304451,32461354,24823623,24823624,32461357,41304456,51522255,63235426,74427336,61645569,60204197,60204196,71910973,59173041,59173040,71910969,76250457,257386048,86543827,72944026,60204139,60204138,65189923,57662162,46317941,46317940,57662160,63235459,63235460,63235467,51522293,41304482,32461371,268196424,18331964,24823631,32461382,41304499,51522314,63235488,63235496,74679694,74679693,63235433,51522261,41304462,32461361,32461362,41304465,51522253,63235423,72944047,60204209,48807136,38884830,38884828,48807130,60204071,72943973,60204146,60204148,63235531,63235532,76250485,72943910,60204143,60204142,61886556,50396144,40360847,40360846,50396138,61886548,74679700,72943897,60203974,48806905,38884653,38884654,48806906,269293834,72943964,86543856,100506055,100506061,269400962,72943975,60204073,51522257,51522258,63235430,72487817,86085169,72944024,60204135,48807094,38884807,38884806,48807091,60204130,51954696,41647896,41647895,40523133,40523132,50559567,62052010,74679702,268901506,62524939,51954738,51954739,63769587,60446140,60446142,60204065,60204066,59173077,57662029,46317789,36464957,36464956,30515367,23099496,23099495,256022890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154421, s2 = 10492520, dlinesl.size( ) = 2 s1 = 11154421, s2 = 10492520, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11154421, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10492519, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11154813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154813, s2 = 11436648, int(edited[s2]) = 0 s1 = 11154813, s2 = 11436648, d1 = 0, d2 = 4 Dl.O(d1) = 61266103 Dl.O(d2) = 87649038,87649039,271851635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154813, s2 = 11436648, dlinesl.size( ) = 16 s1 = 11154885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11154905, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11155045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155045, s2 = 10553662, int(edited[s2]) = 0 s1 = 11155045, s2 = 10553662, d1 = 1, d2 = 38 Dl.O(d1) = 61327975 Dl.O(d2) = 232893311,234029058,235064150,236005709,236861734,237639779,238346400,266573704,240129195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155045, s2 = 10553662, dlinesl.size( ) = 2 s1 = 11155045, s2 = 10553662, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11155045, Dl.E( ) = 40, 3e-05 seconds used appending s1 = 13446436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13446436, s2 = 14918080, int(edited[s2]) = 0 s1 = 13446436, s2 = 14918080, d1 = 29, d2 = 43 Dl.O(d1) = 61370252,269868893 Dl.O(d2) = 164145777,164145776,164145768,164145769,164145774,258526334,126152725,112292462,98310036,98310035,112292460,112292463,125546372,111740142,97817980,83958829,70432278,258627375,256814077,28062157,20891646,14987943,10319424,254483489,2544520,1465941,254218827,1468573,2549347,4264033,6799641,268063659,10374466,15017703,10345652,10345650,12336178,254706697,6771242,10298492,10306765,6778339,4248780,4248777,6778332,10305460,8600761,5953744,3723284,3723283,5953742,9099723,6862074,4306578,4306579,6826038,6828783,6828784,10365996,15034874,15057776,15057775,20913607,17186330,12084546,8126473,5207458,3178745,3178746,5210284,5927706,3706541,2219821,2219825,3706579,5927868,6346665,9652283,10722527,10280849,9078919,6101659,6101660,7673042,6852910,4300636,2571260,2531590,1458874,825912,466357,262464,262463,466353,825905,1458854,254321695,4234046,6756770,8133837,6756773,6756774,7061341,4445729,2670679,1546869,879217,879216,1546867,2670674,4445716,7061317,10688937,15459119,21458890,28714547,37245566,47150905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13446436, s2 = 14918080, dlinesl.size( ) = 8 s1 = 8064508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155497, s2 = 11326310, int(edited[s2]) = 0 s1 = 11155497, s2 = 11326310, d1 = 8, d2 = 11 Dl.O(d1) = 255720816,39930087,31256049,23771513,23771514,256161079,25919329,29586957,22239090,16103577,16103578,255896477,257515053 Dl.O(d2) = 99742836,113757273,127625984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155497, s2 = 11326310, dlinesl.size( ) = 12 s1 = 11155507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155507, s2 = 11403848, int(edited[s2]) = 0 s1 = 11155507, s2 = 11403848, d1 = 15, d2 = 1 Dl.O(d1) = 258251149,87796238,260709703 Dl.O(d2) = 166760040,273148637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155507, s2 = 11403848, dlinesl.size( ) = 26 s1 = 11155607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155607, s2 = 11086638, int(edited[s2]) = 0 s1 = 11155607, s2 = 11086638, d1 = 13, d2 = 11 Dl.O(d1) = 49951102,39934080,39934079,36702290,255048884,15095503,15095502,21017804,28211152,36702284,258017725,255976085 Dl.O(d2) = 254820471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155607, s2 = 11086638, dlinesl.size( ) = 8 s1 = 15493920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13448291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13448291, s2 = 10884554, int(edited[s2]) = 0 s1 = 13448291, s2 = 10884554, d1 = 12, d2 = 11 Dl.O(d1) = 87832859,74227940,61448700,49970995,49970996,257882374,40365344,31670646,24160983,24160984,31670647,40365346,49890108,39867941,39867940,49890109,257521424,268675737,23666785,23666786,31154513,23666789,17348811,12221387,8251284,5322814,3271314,3271315,4425328,2655500,2655499,4425322,7033978,10652504,15411161,15010922,15010923,10340517,255004641,15411142,15411144,15010991,15010990,20917016,28091079,23666801,23666802,28091016,20916964,20916963,15397792,10642115,10642114,15397789,16621463,16018633,11122117,11122118,16018635,16716438,11674646,11674644,11674673,16018832,16018828,22134776,29470133,22134417,22134419,22953191,22953190,30355044,29470653,29470652,30354950,36561077,257396247,53137592,257018170,46591671,36704810,28213564,28213563,28526945,28526946,36704683,37596257,29048477,21754928,21754927,28526990,37024845,37024844,37024893,28526890,28526891,37024895,46902585,256993972,36858426,30323844,22922902,22922903,28766502,28766501,36704689,30323849,30323850,28526840,21304887,255824359,28526985,21304978,21304977,28526983,37024996,46902690,39350873,30750679,23328671,17062323,17062324,23328673,30750680,39350876,49277506,58126675,60678703,60678702,70687141,57969317,46593024,36706113,28214701,28214700,36706111,46593022,57969314,60567829,49168731,49168732,58126467,46758127,36879396,36879395,46758126,58126464,70840960,84239599,70841070,67561360,55217786,44366683,44366681,55217784,67561359,60678773,49277691,49277689,60678761,49277672,39350965,33096102,33096104,42044183,52388278,52388258,42044162,42044164,52388262,50928733,49185085,40256008,31568431,24062775,255265715,13491745,18925159,24062691 Dl.O(d2) = 8487477,5488505,254605173,12525635,17707546,24062800,19188317,13703947,12525626,8487471,8487470,12525624,255581359,24062791,24062790,255763528,24062770,24062769,268685357,50277356,50277354,60678763,60836867,49435110,39504176,256539499,256033257,24062760,256539501,31568424,31568425,40255993,269001581,49435105,49435104,255494168,30820004,30820005,39424757,268413936,73506622,73586511,73586510,60836861,60836860,60836857,49435102,39504168,30896747,23463477,268665903,255936752,49354433,60757528,73506618,85367466,257560858,71777725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13448291, s2 = 10884554, dlinesl.size( ) = 2 s1 = 13448291, s2 = 10884554, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13448291, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 13447292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13447396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13447396, s2 = 10467376, int(edited[s2]) = 0 s1 = 13447396, s2 = 10467376, d1 = 13, d2 = 7 Dl.O(d1) = 61500611,50022585,50022587,46947522,37068107,255832614,32104193,31326789,31326790,34638708,26647190,19833661,19833660,18572212,13197712,13197713,18572214,23425599,30856859,30856862,30856861 Dl.O(d2) = 25126059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13447396, s2 = 10467376, dlinesl.size( ) = 14 s1 = 11156045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11156045, s2 = 14325482, int(edited[s2]) = 0 s1 = 11156045, s2 = 14325482, d1 = 7, d2 = 5 Dl.O(d1) = 52237216,50035711,40016366,40016367,257650939,269193728,53390528,42924550,33878963,26055855,26055853,256687629,39251043,39251040,30655214,30655213,26244269,19526882,19526883,26244271,34108241,255710425,254953221,9601762,6305393,3951372,3951371,6305392,9601759,9601763,9601764,6305397,254953223,268318985,257258937,65763193,79119226,259730991,95314119,258541019,55441253,55441254,258541021,95314121,109570413,114257740,100224569,86258326,86258325,100224568,105497851,98370649,84461401,259286157,70905109,259286159,70905169,58192494,58192474,46826608,257425055,58192510,46826637,36948736,28448651,21222146,15252643,255388295,28448646,36948726,36948745,46826605,46826604,58192473,58192532,46826651,46826650,58192531,70905214,84461476,98370717,98370663,260507417,112353000,126212862,112352921,112352922,126212865,112352981,112352982,126212901,126212874,112352945,98370666,98370667,112352947,126212881,126212891,112352961,112352960,112352931,98370639,84461394,84461393,98370637,98370719 Dl.O(d2) = 196483982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11156045, s2 = 14325482, dlinesl.size( ) = 2 s1 = 11156045, s2 = 14325482, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11156045, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 14325481, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14193523, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11156137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11156137, s2 = 11247644, int(edited[s2]) = 0 s1 = 11156137, s2 = 11247644, d1 = 19, d2 = 7 Dl.O(d1) = 258261609 Dl.O(d2) = 113074564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11156137, s2 = 11247644, dlinesl.size( ) = 26 s1 = 15283428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15283428, s2 = 15202985, int(edited[s2]) = 0 s1 = 15283428, s2 = 15202985, d1 = 2, d2 = 11 Dl.O(d1) = 7744014,4903948,2955781,2955780,4903947,7744012,11625704,16643366,16574767,11555876,7689580,4900055,4900057,7739073,7592387,4802625,4802626,5966535,3731057,3731055,5966532,7584300,7604780,4811075,4811076,7604782,7742144,11623864,16023109,16567456,11548730,7683323,4861467,2929471,1699233,966137,966136,1699232,2929469,4861464,7683314,7686969,254794487,4863308,2930563,2930562,4863306,7593248,11409814,7581826,4795552,2890747,1677890,954661,954659,972659,972657,1711464,2951077,254548647,11615049,11455747,7746701,7728114,7728111,5964988,3730099,2233222,2233223,3730102,5964996,9116739,11561238,7694034,7694035,11561243,16581093,12840090,12840089,15378245,10626832,7014056,7014057,7594063,7594064,7596741,11427909,16412176,22595364,256419437,38525329,269349385,72554517,86152649,100118792,114152739,128042610,141291810,127930463,114049276,114049275 Dl.O(d2) = 36471902,46327197,50187708,58601560,47211824,37305232,28771699,21510564,17191106,17191107,15187390,10475892,10475891,15187386,16642226,11610115,7729916,7729917,11610121,16642239,18776906,18776909,23993133,23993130,31490641,40168938,37146104,31483950,23986821,17641056,12465496,8434226,8434228,12465502,17641066,23987006,31484237,40167891,40169182,31484172,31484140,31484142,38850772,38744250,30161205,30161204,22772604,22772602,30161220,38744270,32107503,32107502,38304643,38304644,46628692,46628693,43419991,34319111,26441029,19701838,19701836,23994408,23994406,30741814,23321107,23321106,23977241,23977242,31473430,39820349,31490647,29259647,21938600,21938599,29259641,37824822,31483923,23986806,23986807,17641039,17641040,17640985,17640984,23986855,31484008,31484252,32107322,40880047,40168897,31483933,23986812,23986811,30161731,30266681,30266679,28116822,28116821,29736091,29736090,38304084,46455878,40164852,40164853,40291277,32107382,24530943,18098565,12832295,12832296,18098568,24530951,32107413,38303835,38303836,37824987,31504329,24005700,17660281,17660280,24005697,268142222,48214079,40880144,40880143,51016307,60062822,48666118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15283428, s2 = 15202985, dlinesl.size( ) = 2 s1 = 15283428, s2 = 15202985, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15283428, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 946718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 946718, s2 = 1589970, int(edited[s2]) = 0 s1 = 946718, s2 = 1589970, d1 = 0, d2 = 7 Dl.O(d1) = 23967829 Dl.O(d2) = 40147230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 946718, s2 = 1589970, dlinesl.size( ) = 20 s1 = 11156459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11156569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11156569, s2 = 11441274, int(edited[s2]) = 0 s1 = 11156569, s2 = 11441274, d1 = 21, d2 = 16 Dl.O(d1) = 61606091,74382834,87985834,101959101,116004241 Dl.O(d2) = 177904103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11156569, s2 = 11441274, dlinesl.size( ) = 2 s1 = 11156569, s2 = 11441274, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11156569, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 11156693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11157135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157135, s2 = 11244726, int(edited[s2]) = 0 s1 = 11157135, s2 = 11244726, d1 = 12, d2 = 16 Dl.O(d1) = 257472694 Dl.O(d2) = 261129554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157135, s2 = 11244726, dlinesl.size( ) = 14 s1 = 11157187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157187, s2 = 11166612, int(edited[s2]) = 0 s1 = 11157187, s2 = 11166612, d1 = 12, d2 = 4 Dl.O(d1) = 256131138,39411822,30806786,30806787,38883293,33552657,32552872,32552870,33881812,26057890,19376306,18989501,13550432,9276332 Dl.O(d2) = 268769780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157187, s2 = 11166612, dlinesl.size( ) = 14 s1 = 8171189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8171189, s2 = 11036320, int(edited[s2]) = 0 s1 = 8171189, s2 = 11036320, d1 = 2, d2 = 5 Dl.O(d1) = 57520401,46205997,36376514,36376513,46205992,57520388,70186969,77850238,91774318,91774317,81457824,67976502,257300856,256210240,20539818,14734961,10133099,10133100,6666710,4175953,4175432,2496113,1440847,1440844,2496150,4175730,6668478,10152435,14762233,20580163,27627286,35576037,35576034,45067913,54715623,57088824,45860687,36126798,27763207,27763210,36126831,45860740,56924182,55636745,55636743,257884832,95543963,258490630,271401092,116352160 Dl.O(d2) = 74186884,74186883,269342920,42464502,40973367,32193359,24605077,18156651,12875306,12875307,18156653,12875405,12875406,12077467,8121376,7504228,7504227,11302964,16257424,22423294,20950723,15041966,15041965,256327275,21444631,15448451,10680913,10680915,15448456,21444641,28696164,28684668,28684669,37208664,47105372,39343368,39343369,44499107,35121551,31327719,23836465,23836467,31327722,40005743,268938074,29212688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8171189, s2 = 11036320, dlinesl.size( ) = 2 s1 = 8171189, s2 = 11036320, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 8171189, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11157395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157395, s2 = 14103389, int(edited[s2]) = 0 s1 = 11157395, s2 = 14103389, d1 = 0, d2 = 9 Dl.O(d1) = 61785502 Dl.O(d2) = 88184547,102175687,116236872,130146782,143476439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157395, s2 = 14103389, dlinesl.size( ) = 2 s1 = 11157395, s2 = 14103389, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11157395, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 9229868, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14539989, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11158009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158009, s2 = 11255326, int(edited[s2]) = 0 s1 = 11158009, s2 = 11255326, d1 = 5, d2 = 12 Dl.O(d1) = 61935724 Dl.O(d2) = 88357381,256518456,81586452,255173330,44791896,35367478,27243796,27243795,35367476,37502049,28959265,27979419,22656866,22656865,30031227,27979409,27979408,36438462,255571328,62626139,258267708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158009, s2 = 11255326, dlinesl.size( ) = 8 s1 = 11158027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158027, s2 = 10719038, int(edited[s2]) = 0 s1 = 11158027, s2 = 10719038, d1 = 15, d2 = 0 Dl.O(d1) = 50448077 Dl.O(d2) = 31721921,255406922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158027, s2 = 10719038, dlinesl.size( ) = 20 s1 = 11158169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158169, s2 = 15260666, int(edited[s2]) = 0 s1 = 11158169, s2 = 15260666, d1 = 2, d2 = 0 Dl.O(d1) = 61985156 Dl.O(d2) = 33415848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158169, s2 = 15260666, dlinesl.size( ) = 16 s1 = 11158379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158379, s2 = 11217530, int(edited[s2]) = 0 s1 = 11158379, s2 = 11217530, d1 = 15, d2 = 26 Dl.O(d1) = 258295897 Dl.O(d2) = 259427534,102460385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158379, s2 = 11217530, dlinesl.size( ) = 36 s1 = 11158381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158381, s2 = 11239694, int(edited[s2]) = 0 s1 = 11158381, s2 = 11239694, d1 = 9, d2 = 13 Dl.O(d1) = 50524959 Dl.O(d2) = 254877233,254283703,1182595,664260,664261,254194039,3473826,5597319,8611924,12680024,17900104,255993555,17240612,257043731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158381, s2 = 11239694, dlinesl.size( ) = 14 s1 = 11158441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158441, s2 = 11244690, int(edited[s2]) = 0 s1 = 11158441, s2 = 11244690, d1 = 12, d2 = 11 Dl.O(d1) = 259544467,260709758 Dl.O(d2) = 258061905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158441, s2 = 11244690, dlinesl.size( ) = 14 s1 = 11158503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158503, s2 = 11566846, int(edited[s2]) = 0 s1 = 11158503, s2 = 11566846, d1 = 16, d2 = 14 Dl.O(d1) = 267979210 Dl.O(d2) = 265396791,226602139,266017337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158503, s2 = 11566846, dlinesl.size( ) = 2 s1 = 11158503, s2 = 11566846, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11158503, Dl.E( ) = 34, 1.12e-05 seconds used appending s1 = 11158589, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11158721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158739, s2 = 11342628, int(edited[s2]) = 0 s1 = 11158739, s2 = 11342628, d1 = 13, d2 = 11 Dl.O(d1) = 256834172,31864428,257109539 Dl.O(d2) = 260164743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158739, s2 = 11342628, dlinesl.size( ) = 8 s1 = 11158929, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13451218, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11856866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159451, s2 = 11039182, int(edited[s2]) = 0 s1 = 11159451, s2 = 11039182, d1 = 1, d2 = 2 Dl.O(d1) = 259575979,271582424,13648890,9346294,9204427 Dl.O(d2) = 6026107,6026106,9204423,13459662,256646975,48834847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159451, s2 = 11039182, dlinesl.size( ) = 2 s1 = 11159451, s2 = 11039182, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11159451, Dl.E( ) = 6, 2e-05 seconds used appending s1 = 11039181, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11159725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159725, s2 = 14131152, int(edited[s2]) = 0 s1 = 11159725, s2 = 14131152, d1 = 12, d2 = 10 Dl.O(d1) = 257593392,258824556,271365422,261239654 Dl.O(d2) = 263203414,187947738,264012309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159725, s2 = 14131152, dlinesl.size( ) = 14 s1 = 11159801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159801, s2 = 4034888, int(edited[s2]) = 0 s1 = 11159801, s2 = 4034888, d1 = 53, d2 = 31 Dl.O(d1) = 62751652,75698716,89463732,103562084,113390643,113390642,116717711,102621762,88615529,74973567,74973569,88615531,84418646,70861404,58147266,46779696,46779695,58147265,70861401,70861377,63110340,51413963,41217628,32394498,255625633,8838808,5760029,5760030,8838809,12984007,18292628,18533499,24878238,24878239,24788648,18306256,12994588,8846735,5765645,3591249,2188658,2188659,3658397,5690158,3539799,2107205,1213617,254196979,3539801,2141150,1236471,700819,394095,394096,700822,1236474,2141156,3591251,5765649,8846746,12994603,8846743,8846742,12994601,18306270,18306264,18306265,24788660,24788657,18306263,12994594,8846738,5765646,5765647,8846739,12994597,18306266,24788662,24788653,24788654,24788652,256084643,256084645,18306263,12994594,8846738,5765646,5765647,8846740,12994599,18306258,24788651,24788670,24788669,32413710,24788674,24788673,32413708,24788667,18306271,12994606,12994604,18306266,24788661,32413703,32413706,24788665,18306271,12994609,12994607,12994590,8846736,5765646,5765647,8846740,12994599,18306258,24788651,24788670,24788669,32413710,24788674,24788673,32413708,24788667,18306271,12994611,12994603,8846743,8846742,12994601,18306270,24788658,24788664,24788663,24788675,18306277,18306275,24788673,256084647,18306272,12994609,12994607,18306257,24788650,256596567,255626761,12994600,12994601,256084649,24788677,18306278,12994614,8846748,8846747,12994612,18306274,24788671,32413701,256596567,32413705,41238903,43385657,43385658,53909857,65976711,79341141,93473537,107905768,122326566,136308400,149577816,161883505,173044846,177677830,262782286,142998273,271839066,87756094,74151906,61371664,258247501 Dl.O(d2) = 172643785,161468517,269099674,255691130,270589093,257232464,258441696,172643789,272025882,182569864,260314354,260314348,172643786,182569862,261473840,207779041,205054026,205054025,210298566,261473844,259698780,149182710,257232462,107656557,255691130,254940030,13992622,19541808,255284516,28036224,20868204,20868203,14966070,14966072,17545819,12547826,12547827,17734647,24092409,30461557,27181767,27181764,35300867,35300848,255534500,21634395,21634396,28908757,37448178,38396698,29824326,29824327,38396699,48307392,59694343,256484372,117435219,270360044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159801, s2 = 4034888, dlinesl.size( ) = 2 s1 = 11159801, s2 = 4034888, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11159801, Dl.E( ) = 54, 1.91e-05 seconds used appending s1 = 11160061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11160061, s2 = 7977862, int(edited[s2]) = 0 s1 = 11160061, s2 = 7977862, d1 = 57, d2 = 58 Dl.O(d1) = 62953434,75934276,258770610,260013818,261785207,260635268 Dl.O(d2) = 255982530,8573344,8573345,11114347,7729128,7729129,8968585,8968583,11416121,7695934,7695932,7598940,4807072,4807073,7598943,5984370,4798490,4798491,4893127,4893128,7729752,11429595,7696499,4870952,2935241,1702282,1702281,2935237,4861978,2929798,1699418,1699417,2929792,4861970,7684023,7691631,7329322,4630021,2789266,1618250,1618249,2789264,4630014,7329310,7689147,4865751,4865750,4870524,7695986,11114294,7371512,7371428,4656771,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233011,3729688,4813230,2955390,2955387,254549415,255503215,16580686,11613796,11613797,11557304,7690865,7690866,11419033,11419034,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680500,2895969,4805053,7596239,11427246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11160061, s2 = 7977862, dlinesl.size( ) = 24 s1 = 11160201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11160243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11160275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11857330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11160475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11160475, s2 = 11177088, int(edited[s2]) = 0 s1 = 11160475, s2 = 11177088, d1 = 8, d2 = 85 Dl.O(d1) = 63085368 Dl.O(d2) = 258286888,52650509,42264579,42264580,37475291,28933769,255543950,38415190,46680214,47382596,51297275,41116158,32304400,24692409,18224115,12926207,12926208,18224118,267905382,41116164,46680320,47436806,37528960,37528959,37475303,37475302,47382621,47897909,37980685,37980683,39705221,31028106,31028107,29417173,22086744,15980436,11093828,11093827,15980435,22086742,22086920,22086919,28493732,28493731,26663040,19848127,268330561,34654665,29417230,22825338,16604537,16604536,22825337,30217740,268924950,86450329,100406991,100406990,270506848,34168445,43258654,257222738,40108607,41569097,37481166,37481165,40112667,31433705,257075953,61613661,74391168,87995113,101969713,116016250,259318958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11160475, s2 = 11177088, dlinesl.size( ) = 54 s1 = 11160539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11160539, s2 = 11195492, int(edited[s2]) = 0 s1 = 11160539, s2 = 11195492, d1 = 3, d2 = 2 Dl.O(d1) = 63113796,51417066,51417065,41958910,41958911,52299863,64152030,77300815,83916364,76119419,63113829,63113830,76119422,89398459,75637199,62692747,62692727,51063360,40922767,32145360,24562589,24562588,25834790,25834789,33637726,39017066,48940268,59477567,72214928,270353503,57696395,46347216,36489483,36489482,46347214,257998943,62692749,51063409,40922809,40922807,51063405,58301344,59591013,59591012,72325325,71661850,71661851,63113819,51416961,51416962,63113822,76119405,63113824,51416969,41220300,256083353,24773864,32396851,39328563,30730322,30730321,39328560,48351761,38449633,38449632,48351760,59735742,51417041,51417040,46830759,46830758,57856986,59735753,48351773,255028476,22537906,22537905,29892803,37386078,47295284,50436794,50436780,41220297,37819485,29254154,21933131,21933133,29254157,37819492,255669160,28452461,21225636,21225635,28452459,22537911,16363463,11388321,11388322,16364661,18079323,18079322,24508032,32082036 Dl.O(d2) = 16363459,16363458,22537900,22242979,22242978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11160539, s2 = 11195492, dlinesl.size( ) = 2 s1 = 11160539, s2 = 11195492, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11160539, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11160583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11160583, s2 = 15238923, int(edited[s2]) = 0 s1 = 11160583, s2 = 15238923, d1 = 15, d2 = 24 Dl.O(d1) = 256993336,260046504,43925849,43925850,268373194,37799421,30840650,30840651,27995528,27995527,270788331 Dl.O(d2) = 17758740,17758741,24119836,17786278,17786277,24153458,28232954,28232955,36726646,254409766,31171091,23749248,23749249,21034200,15107990,15107991,21034207,17801468,17801467,24168766,17801203,12601088,12601087,12608791,12608790,10437578,6880736,6880739,9233670,13496522,18931763,16467850,11474002,7631833,7631832,11474000,16467848,22662305,30037881,254283718,17387836,17387835,254606766,39880076,47334269,37425889,37425890,255982842,17436456,17436455,23764331,31248737,39924311,40263680,31576566,24070805,17714572,17714573,24070812,23761781,23761780,28886011,21609983,21609981,28156691,25569157,18959313,18959312,14415661,14415660,20105684,20171425,20171423,20171444,27065687,35130032,27044359,20151882,14456088,14456087,20151878,24166644,26443176,21794020,15735100,10897872,9845420,9845421,9719543,6393946,6393945,9719541,14127817,19703663,26442857,26586120,21793619,17040875,17040872,254842024,15726869,10890393,7201916,4537360,4537361,7201918,268077369,11911032,15737875,10899625,7208699,4542025,2730382,2730383,4542027,7208703,4542043,4542044,7208708,10898839,7208277,7208275,10898833,15736649,17041192,17041194,21793785,21793244,15734509,15734512,15720595,15720594,11239743,11239741,12310769,10883913,10883915,7196612,7196610,10883924,10898797,10898798,15736597,15133417,15133416,21068255,28271065,23213590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11160583, s2 = 15238923, dlinesl.size( ) = 26 s1 = 11161049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161049, s2 = 11506764, int(edited[s2]) = 0 s1 = 11161049, s2 = 11506764, d1 = 0, d2 = 12 Dl.O(d1) = 63404328,76448334,271003449 Dl.O(d2) = 262432169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161049, s2 = 11506764, dlinesl.size( ) = 14 s1 = 11161059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161059, s2 = 11040020, int(edited[s2]) = 0 s1 = 11161059, s2 = 11040020, d1 = 11, d2 = 13 Dl.O(d1) = 257127839,40901083,44580415,35202269,255975676,55427391,67696817,58768794,255975672 Dl.O(d2) = 256520145,31323421,40001340,50019884,50550385,40514452,31818002,24301934,17918623,12695508,255534756,13346199,9119482,254259418,6475011,4057609,4057606,6475008,9857269,7742099,7729098,4892651,2948465,1709939,1709938,2948463,2953086,4899800,7738674,254539877,2903094,2903092,4817311,7614130,11448576,11054100,11054099,7696396,7696397,7584146,7584145,4798821,2892508,1678763,1678764,2892510,4798824,4902457,4895691,2950437,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629868,2789181,2789179,1680621,955941,955939,1680612,2896164,4805360,4800668,4800667,4813199,2900674,267766911,956965,1682869,267831915,7608202,7618078,7618079,11453363,8729704,5683289,3535379,3535381,5683295,6472997,4056457,2428054,1404590,799350,453066,453069,799317,1404476,2427806,1685836,958506,958508,1685866,2904166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161059, s2 = 11040020, dlinesl.size( ) = 14 s1 = 15064673, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11161313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161313, s2 = 10874597, int(edited[s2]) = 0 s1 = 11161313, s2 = 10874597, d1 = 0, d2 = 0 Dl.O(d1) = 51801751,41523792,41523791,51801750,63587671,51801745,51801746,255522588,32637398,32637397,37873006,255442588,255171114,29303747,29303749,37873003,47797351,257018202,59524050,48136857,38226612,29660280,22307978,16161310,11228492,11228493,16161297,16161298,22307957,29660245,29764606,22402049,22402048,29764605,38335379,36724757,36724756,29764593,29764592,38335363,48245748,58881008,255171116,29698055,22344339,16195161,16195160,22344335,29303760,21976273,21976274,29303762,37873027,38228118,38228117,48138281,48138295,58881020,53885967,255413344,59080604,54674548,43932127,34658882,34658883,38226604,39473889,43932134,34658887,29764629,22402060,16240182,11290552,11290551,16240179,22402056,29764619,38335396,48245787,53725791,52528698,52528697,59080622,47680646,47680647,58695956,58695955,67706309,55366687,54674479,43932046,39473926,39473927,49402315,59143298,47744585,37822621,37822622,47744586,48138291,38228126,38228125,48138289,49054765,40021178,31341704,23848692,22344331,22344332,29698036,38263852,34658874,34658875,43932119,54674539,66931093,71881474,64093611,52246384,41909417,32970045,25247730,25247731,32970050,41909426,52246392,64093619,257158030,52688679,42301924,37822658,37822660,47238564,47238563,58631888,59143245,64093601,59559941,59143204,59143205,59143214,47744516,37822570,29257696,21937059,15849267,10984092,10984093,15849270,21937065,29257711,37822598,47744555,54613171,43870688,34600445,34600446,38619567,48534684,51669666,52688655,47744599,37822632,37822631,31339768,23847034,23847036,31339770,40019065,50038505,61398051,49918018,49918019,256604960,33321239,25559320,25559319,33321236,42301919,47744521,47744520,41909406,41909407,52246368,61398043,49918011,49918010,61398042,63413081,63413082,71368525,59143264,48311375,38400532,37822590,37822589,47238576,37328866,28791840,21527184,21527183,28791836,37328857,47238557,58631885,61520137,71881447,59143222,52246387,52246386,64093613,77237876,87901716,85466277,85466276,87901718,87901719,90922635,90922636,256577420,63929580,73205596,257127996,256462991,256462993,25705924,25705925,256555966,32403968,24779934,18299219,12989106,255229355,18299222,18299223,15435407,15435408,21428128,28676414,21428121,15435402,10670879,10670878,13621391,19079337,21347104,15371693,10621542,7009870,7009869,10621539,15371690,21347116,28576016,28575982,21347093,21347092,28575980,37063531,28562099,21335571,21335570,28562097,256595867,32403880,24779899,18299192,12989092,8842626,8842625,12989090,18299186,24779891,22083767,22083768,29414032,37977156,41228155,41228154,34652734,26661160,26661161,34652737,37080011,32403957,32403958,41228255,47894684,37977175,37977174,47894681,47095094,47095093,51425427,41228173,41228174,39134085,37199155,28676422 Dl.O(d2) = 51801751,41523792,41523791,51801750,63587671,51801745,51801746,255522588,32637398,32637397,37873006,255442588,255171114,29303747,29303749,37873003,47797351,257018202,59524050,48136857,38226612,29660280,22307978,16161310,11228492,11228493,16161297,16161298,22307957,29660245,29764606,22402049,22402048,29764605,38335379,36724757,36724756,29764593,29764592,38335363,48245748,58881008,255171116,29698055,22344339,16195161,16195160,22344335,29303760,21976273,21976274,29303762,37873027,38228118,38228117,48138281,48138295,58881020,53885967,255413344,59080604,54674548,43932127,34658882,34658883,38226604,39473889,43932134,34658887,29764629,22402060,16240182,11290552,11290551,16240179,22402056,29764619,38335396,48245787,53725791,52528698,52528697,59080622,47680646,47680647,58695956,58695955,67706309,55366687,54674479,43932046,39473926,39473927,49402315,59143298,47744585,37822621,37822622,47744586,48138291,38228126,38228125,48138289,49054765,40021178,31341704,23848692,22344331,22344332,29698036,38263852,34658874,34658875,43932119,54674539,66931093,71881474,64093611,52246384,41909417,32970045,25247730,25247731,32970050,41909426,52246392,64093619,257158030,52688679,42301924,37822658,37822660,47238564,47238563,58631888,59143245,64093601,59559941,59143204,59143205,59143214,47744516,37822570,29257696,21937059,15849267,10984092,10984093,15849270,21937065,29257711,37822598,47744555,54613171,43870688,34600445,34600446,38619567,48534684,51669666,52688655,47744599,37822632,37822631,31339768,23847034,23847036,31339770,40019065,50038505,61398051,49918018,49918019,256604960,33321239,25559320,25559319,33321236,42301919,47744521,47744520,41909406,41909407,52246368,61398043,49918011,49918010,61398042,63413081,63413082,71368525,59143264,48311375,38400532,37822590,37822589,47238576,37328866,28791840,21527184,21527183,28791836,37328857,47238557,58631885,61520137,71881447,59143222,52246387,52246386,64093613,77237876,87901716,85466277,85466276,87901718,87901719,90922635,90922636,256577420,63929580,73205596,257127996,256462991,256462993,25705924,25705925,256555966,32403968,24779934,18299219,12989106,255229355,18299222,18299223,15435407,15435408,21428128,28676414,21428121,15435402,10670879,10670878,13621391,19079337,21347104,15371693,10621542,7009870,7009869,10621539,15371690,21347116,28576016,28575982,21347093,21347092,28575980,37063531,28562099,21335571,21335570,28562097,256595867,32403880,24779899,18299192,12989092,8842626,8842625,12989090,18299186,24779891,22083767,22083768,29414032,37977156,41228155,41228154,34652734,26661160,26661161,34652737,37080011,32403957,32403958,41228255,47894684,37977175,37977174,47894681,47095094,47095093,51425427,41228173,41228174,39134085,37199155,28676422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161313, s2 = 10874597, dlinesl.size( ) = 2 s1 = 11161313, s2 = 10874597, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11161313, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 10874596, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11161321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161321, s2 = 11484108, int(edited[s2]) = 0 s1 = 11161321, s2 = 11484108, d1 = 12, d2 = 5 Dl.O(d1) = 259618707 Dl.O(d2) = 145940031,262437959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161321, s2 = 11484108, dlinesl.size( ) = 14 s1 = 11161405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161405, s2 = 10986870, int(edited[s2]) = 0 s1 = 11161405, s2 = 10986870, d1 = 8, d2 = 6 Dl.O(d1) = 255703808,25001195,18475594,13125796,8946454 Dl.O(d2) = 8946450,13126405,13126400,18476665,14230302,14230299,19862327,25429796,33172406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161405, s2 = 10986870, dlinesl.size( ) = 10 s1 = 10986869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986869, s2 = 11161406, int(edited[s2]) = 0 s1 = 10986869, s2 = 11161406, d1 = 6, d2 = 9 Dl.O(d1) = 2232034,2232036,3728120,5961747,9111674,9276213,9276214,6253553,3914799 Dl.O(d2) = 3914803,6253564,9533006,13892937,255703809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986869, s2 = 11161406, dlinesl.size( ) = 10 s1 = 13412099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13412099, s2 = 6498269, int(edited[s2]) = 0 s1 = 13412099, s2 = 6498269, d1 = 46, d2 = 42 Dl.O(d1) = 58322249,46955136,37074967,28571834,255398205,15368736,21343713,255639172,46955141,58322257,51652742,51652743,63395726,76439499,76439442,63395651,63395650,71037806,58322253,46955138,37074968,28571835,28571836,37074970,255639174,71037808,256099904,46955140,58322255,71037812,84601890,90269853,90269854,104421360,97691713,83833864,70308718,257756684,63395682,51652695,269472157,257756674,63395686,76439466,90269820,104421332,115589350,118604724,104421329,104421330,100855462,100855464,98526671,88131940,74519732,61738061,50259669,50259670,61738062,60516712,60516713,73262346,86874632,73989807,73989806,73989812,87590251,101552880,259625134,87590248,73989808,61210712,61210713,61210724,61210725,73989819,258376170,49732214,39713594,31036380 Dl.O(d2) = 256110355,255247509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13412099, s2 = 6498269, dlinesl.size( ) = 17 s1 = 13454447, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11857726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11857726, s2 = 7274328, int(edited[s2]) = 0 s1 = 11857726, s2 = 7274328, d1 = 32, d2 = 28 Dl.O(d1) = 254853237,255568719,31397698,257073185,61579507,74356308,87958577,101931437,115976066,129873828,143203543,155755854,167388327,262816471,177882895,167388328,167388324,155755847,155755845,155755857,143203545,143203546,155755859,155755843,155755842,155755840,143203537,129873825,115976064,115976063,129873822,143203533,143203537,129873825,115976064,101931435,87958576,87958577,101931437,115976066,129873828,143203543,155755854,167388327,262816471,177882895,167388328,167388324,155755847,143203538,143203539,129873826,129873823,129873822,143203532,155755839,155755844,167388322,167388329,167388330,167388327,262816471,177882895,167388328,167388324,262816469,155755848,167388325,177882896 Dl.O(d2) = 264845402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11857726, s2 = 7274328, dlinesl.size( ) = 20 s1 = 11161657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161657, s2 = 11387618, int(edited[s2]) = 0 s1 = 11161657, s2 = 11387618, d1 = 13, d2 = 14 Dl.O(d1) = 260245347 Dl.O(d2) = 261364666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161657, s2 = 11387618, dlinesl.size( ) = 18 s1 = 11857872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11162257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162257, s2 = 16189468, int(edited[s2]) = 0 s1 = 11162257, s2 = 16189468, d1 = 3, d2 = 18 Dl.O(d1) = 64016115 Dl.O(d2) = 105263855,105263856,119488981,133348331,146593768,158960441,258986278,189358944,260417624,191985943,183427476,173636866,162610867,150486758,137451457,123723351,109531379,95276433,81218796,67752411,55411865,44564234,35185935,27097147,20197706,20197707,27097149,35185934,44564233,55411863,47302170,37392917,28852660,21580481,15556971,10760562,7109826,4476569,4476568,7109825,8472296,268115845,17684459,24035943,31538861,31538561,24035643,17684171,255189913,8472100,5476284,3369873,3369874,5476287,5476456,3369983,3369984,5476457,8472319,12506762,17684481,24035972,31538896,40225370,50245591,61724483,74505653,88116873,102103361,116160048,130067886,142209918,128852159,114951666,100899052,86918606,73308453,60565249,256750124,39239138,39239945,30642481,23219396,23219395,30642478,23221421,23221420,23676479,23676478,21151589,15197064,15197063,21151585,27069282,23222093,23222094,268659973,30644808,23222336,16949276,16949275,22008110,29339577,28369711,21152820,21152821,17468671,255523805,11860043,7926494,7926497,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277867,6819537,10355243,15027412,20935515,28112273,22082942,22082943,23221869,16948859,16948861,16947776,11862115,7927648,7927646,11862111,16948920,23221648,21224602,21224603,256307829,23218057,16945554,11859933,11859932,11862454,7927848,7927849,11862459,7928214,7926434,7926435,5039553,3051022,1777383,1777382,3051018,5039549,7927681,11862162,16949002,23222027,26401492,255974738,53899155,65965373,79328714,93459296,107888162,122304156,136280689,149546104,261199880,141448719,260622779,100166993,100166992,86204765,72607215,258155677,48477563,48477562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162257, s2 = 16189468, dlinesl.size( ) = 8 s1 = 11162387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162387, s2 = 11444124, int(edited[s2]) = 0 s1 = 11162387, s2 = 11444124, d1 = 0, d2 = 20 Dl.O(d1) = 64087777 Dl.O(d2) = 273228160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162387, s2 = 11444124, dlinesl.size( ) = 22 s1 = 11162537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162537, s2 = 11052356, int(edited[s2]) = 0 s1 = 11162537, s2 = 11052356, d1 = 41, d2 = 0 Dl.O(d1) = 259011265 Dl.O(d2) = 18239050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162537, s2 = 11052356, dlinesl.size( ) = 26 s1 = 13478261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11162775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162775, s2 = 11318738, int(edited[s2]) = 0 s1 = 11162775, s2 = 11318738, d1 = 1, d2 = 18 Dl.O(d1) = 64149233 Dl.O(d2) = 116176165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162775, s2 = 11318738, dlinesl.size( ) = 22 s1 = 11162885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162885, s2 = 11042850, int(edited[s2]) = 0 s1 = 11162885, s2 = 11042850, d1 = 4, d2 = 13 Dl.O(d1) = 64166063 Dl.O(d2) = 256033592,50416440,254865390,17811305,17801779,17801778,17801157,17801156,23683404,20015038,20015037,17727805,12542256,8502320,5503318,5503319,8502322,5549138,5549139,8550803,12600279,17800164,24167807,24086512,17729210,12543253,12543250,17729201,12623756,8569913,8569912,12623752,15095943,10411491,8501936,5503073,3392360,3392361,5503081,8501953,12541625,17726909,17815885,12613686,12613687,17815890,22664765,21033866,15107734,10420249,6869411,6869413,10420253,11819073,11819069,16890272,23151050,24059116,31564831,24198423,254190596,12624408,17829177,24087584,24087585,31587948,30448796,30448797,23319363,17054827,11964196,11964195,17054825,23319360,20148542,20148541,24086939,17729586,12543516,254276648,254607320,33069732,39880151,37644949,29095842,21798336,15738702,10900160,10900159,15738698,20818174,14921162,10260335,10260337,14921167,20818182,24181676,24181675,24082685,21796345,15737036,10899140,7208449,4541902,2730318,1582046,1582045,2730314,4541891,7208423,10899087,15737060,21796376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162885, s2 = 11042850, dlinesl.size( ) = 14 s1 = 11162959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163157, s2 = 11173852, int(edited[s2]) = 0 s1 = 11163157, s2 = 11173852, d1 = 6, d2 = 12 Dl.O(d1) = 257918174,5976526,3737565,3737563,5976564,9132849,13363545,18766963,25348575,33079355,42023341,38460244,29903375,29903374,38460240,256120129,25348589,256635277,36943149,36943148,256402192,64601539,77784777,91712641,88084632,74472458,74472459,88084634,102071128,101723396,101723397,89884648,76084069,256270336,41199831,44771445,35346112,27222929,21321063,15350207,15350206,15350319,15350318,15350338,10604226,6996605,4397014,2634823,2634821,4397006,6996588,10604201,15350291,21321209,28544824,37044056,28544759,28544758,37044054,28544990,28544991,37044367,46922230,44757273,35329357,35329358,28545017,28545016,36636792,28161913,20982124,15069991,255372725,28161918,21321074,21321073,28544628,37043881,46921790,58287603,63083918,61468370,49991345,39975247,31300598,23814282,255173109,12324317,17479932,23814287,31300608,39975262 Dl.O(d2) = 61468737,49991292,39975198,31300565,23814261,256316660,7345125,4639267,2794345,1620815,1620816,2794348,4639273,7345132,11077203,15960463,22065101,256379355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163157, s2 = 11173852, dlinesl.size( ) = 14 s1 = 11163427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163427, s2 = 11482868, int(edited[s2]) = 0 s1 = 11163427, s2 = 11482868, d1 = 0, d2 = 11 Dl.O(d1) = 64309472 Dl.O(d2) = 261970869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163427, s2 = 11482868, dlinesl.size( ) = 2 s1 = 11163427, s2 = 11482868, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11163427, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11163429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163429, s2 = 11219150, int(edited[s2]) = 0 s1 = 11163429, s2 = 11219150, d1 = 1, d2 = 13 Dl.O(d1) = 52447108 Dl.O(d2) = 256123931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163429, s2 = 11219150, dlinesl.size( ) = 8 s1 = 11163531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163531, s2 = 11384340, int(edited[s2]) = 0 s1 = 11163531, s2 = 11384340, d1 = 9, d2 = 7 Dl.O(d1) = 64335969,52468303,42115806,33161505,33161507,38663980,38663979,48580174,59971964,72709112,86306029,100267779,93232436,79115506,65759258,53702160,53702159,65759257,79115503,79115505,79115507,65759260,65759261,53702164,43190471,43190470,53702162,65759263,65759264,53702164,53702163,270060383,65759255,65759254,53702157 Dl.O(d2) = 256179667,19524015,19524014,26241217,34104731,42331810,52718913,64619054,77801465,91728995,105936335,120148331,133989660,261984893,159570944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163531, s2 = 11384340, dlinesl.size( ) = 2 s1 = 11163531, s2 = 11384340, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11163531, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11163685, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13524001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13524001, s2 = 14193941, int(edited[s2]) = 0 s1 = 13524001, s2 = 14193941, d1 = 0, d2 = 0 Dl.O(d1) = 58225096,257790959,52532943,49239209,39312431,39312433,49239213,60639869,60639870,60257601,60257599,59941902,49239178,49239181,48549625,48549626,59941794,72680997,64406141,52532951,52532950,58225185,258037525,60639835,60639838,258161001,48549285,38634958,38634957,38635247,38635248,48549455,38635096,30061219,30061218,22684112,16485293,11486109,11486108,11486070,7639641,4833344,4833346,254790233,16485213,22683958,30061063 Dl.O(d2) = 58225096,257790959,52532943,49239209,39312431,39312433,49239213,60639869,60639870,60257601,60257599,59941902,49239178,49239181,48549625,48549626,59941794,72680997,64406141,52532951,52532950,58225185,258037525,60639835,60639838,258161001,48549285,38634958,38634957,38635247,38635248,48549455,38635096,30061219,30061218,22684112,16485293,11486109,11486108,11486070,7639641,4833344,4833346,254790233,16485213,22683958,30061063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13524001, s2 = 14193941, dlinesl.size( ) = 2 s1 = 13524001, s2 = 14193941, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13524001, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14193942, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11163923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163923, s2 = 11547722, int(edited[s2]) = 0 s1 = 11163923, s2 = 11547722, d1 = 15, d2 = 13 Dl.O(d1) = 273236879,263413386,274324008,230677828,232025970 Dl.O(d2) = 266099233,265843131,274597896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163923, s2 = 11547722, dlinesl.size( ) = 40 s1 = 13415123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163955, s2 = 11412506, int(edited[s2]) = 0 s1 = 11163955, s2 = 11412506, d1 = 7, d2 = 9 Dl.O(d1) = 259038217 Dl.O(d2) = 261978515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163955, s2 = 11412506, dlinesl.size( ) = 8 s1 = 11163987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11163997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11163997, s2 = 12244342, int(edited[s2]) = 0 s1 = 11163997, s2 = 12244342, d1 = 16, d2 = 18 Dl.O(d1) = 52643842 Dl.O(d2) = 33278636,254942424,18908769,13477148,13477147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11163997, s2 = 12244342, dlinesl.size( ) = 20 s1 = 15701785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14193968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11164335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164335, s2 = 11180472, int(edited[s2]) = 0 s1 = 11164335, s2 = 11180472, d1 = 8, d2 = 10 Dl.O(d1) = 256510696 Dl.O(d2) = 13528163,9258883,9258882,13528162,13522834,13522832,18958957,15260091,11394772,11394769,12068063,12068061,10544527,6954055,4369430,4369432,2623024,2623023,4379738,6971761,6955615,6955614,10546707,10545638,6954855,4369853,2620030,1512508,857524,857519,1512486,2619987,2621993,1513406,1513403,2621981,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,9247477,6056385,3789662,3789661,6055978,9246753,13513787,15261727,21231441,23426679,17149001,17148709,13511731,12060018,8108732,8108733,12060023,14449977,15304635,15257825,12068009,8114994,5198905,5198906,6960377,10553368,8114530,6065794,6065793,9261299,10573605,9263572,6067476,3796281,2273920,2273919,2271130,2271131,3791263,6059287,9247805,6974574,6974576,9250728,6974543,6974540,7484801,7484798,5193825,3169172,3169167,5193798,3791700,2273126,2273125,3794935,268146951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164335, s2 = 11180472, dlinesl.size( ) = 12 s1 = 11164555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164555, s2 = 11406968, int(edited[s2]) = 0 s1 = 11164555, s2 = 11406968, d1 = 1, d2 = 9 Dl.O(d1) = 64670690 Dl.O(d2) = 120177502,261985599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164555, s2 = 11406968, dlinesl.size( ) = 2 s1 = 11164555, s2 = 11406968, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11164555, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11164593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164593, s2 = 6760744, int(edited[s2]) = 0 s1 = 11164593, s2 = 6760744, d1 = 53, d2 = 47 Dl.O(d1) = 258420643,91791011,274046199,274095732 Dl.O(d2) = 34115272,26250800,19533299,19533300,19533301,26250803,28371355,21154356,15198945,10483019,10483021,10481783,6910798,6910799,10481787,15196641,268378249,36865402,33352026,25591444,25591443,33352023,36865169,36865170,40033500,32978911,28367183,21150686,15196555,15196556,21150765,21150755,18528992,18528993,22330835,16184510,11250063,11250066,10482978,8255138,5325498,5325493,8255116,12226848,17356351,21150459,15196357,10481639,255018479,21150456,21154235,21150158,15196899,10481925,10481928,15196918,21149515,15195801,15195800,21149510,22141231,28365691,21150240,15196233,15196228,21150222,28366545,25960706,21151718,21151720,27107289,28368727,21151969,21151967,28368705,28368707,29478444,23802484,23802487,28369903,21153002,21153007,21153768,15198533,15198534,15197496,10482647,6911203,4340518,2598535,2598536,4340522,6911218,10482684,15198347,21153499,28366068,21149774,15195946,15195945,21149773,23675602,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482600,15198183,21153255,16946758,16946755,12316078,8319047,8318768,8318767,11860044,7926494,7926497,7926595,7926594,6940719,6940720,5039263,5039264,7927089,7927092,11861145,16947465,23220339,30643297,31165348,23677097,17356967,12227217,8255325,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,1013303,1777342,3050936,5039393,7927372,11861653,254427722,39240889,31166591,23678358,23678357,31166588,39848441,49870692,61352505,63025218,51344545,51344544,58439914,71161867,258165222,112657124,126521390,139886545,152596053,164451750,168509265,260599350,131440339,117639644,112849410,98861106,98861107,109804489,98326293,85359807,71769873,59026895,47623981,47623980,59026893,71769871,85359805,99304901,101712441,115758672,112849414,98861112,98861113,101712445,87738225,87738207,74132439,74132440,87738208,101712436,101721633,87748777,87748776,99743178,85789353,72195365,59457615,59457616,61363719,61363722,61363723,74144346,87748782,270297213,58619719,47226323,47226322,49882150,39859001,31176299,23687393,17365981,12234818,12234817,17365978,23687390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164593, s2 = 6760744, dlinesl.size( ) = 26 s1 = 11164647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164647, s2 = 11411190, int(edited[s2]) = 0 s1 = 11164647, s2 = 11411190, d1 = 8, d2 = 2 Dl.O(d1) = 64689610,64689608,64689607,259048555,105996017 Dl.O(d2) = 134030134,262088305,262088307,137396960,123666142,109474249,95220286,81163733,81163732,95220284,85620830,72032300,72032301,72032303,59295960,47900693,255887202,25892440,25892438,25892437,33698383,42728193,53177725,65162493,78445381,92482844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164647, s2 = 11411190, dlinesl.size( ) = 2 s1 = 11164647, s2 = 11411190, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11164647, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11164715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164715, s2 = 14193997, int(edited[s2]) = 0 s1 = 11164715, s2 = 14193997, d1 = 1, d2 = 1 Dl.O(d1) = 52799675,63286159,63286158,257234630,53706657,53706658,51567849,51567848,256159716,33371748,33371747,42360760,33411639,25644680,25644681,33411643,41345878,32498563,24856356,18359693,13035894,13035893,18359690,24856349,32498547,41345857,255693006,32498551,32498550,38149345,29583249,22235455,16100472,11183350,11183352,16100468,22235450,29583246,33589163,255686897,19148116,25793380,33589168,34591834,26605051,26605050,34591832,29583219,22235422,16100448,16100447,22235416,29583216,28621130,21384105,15401030,10644754,7028148,7028149,10644757,15401037,21384119,21853340,19086454,19086455,21384128,15401041,15401040,21384126,27118873,29583299,22235497,22235498,28621141,21384113,15401034,15401035,21384115,25714728,33489829,42485741,42485742,34218123,26344465,26344463,25051934,25051935,32742210,254462750,52892203,52892202,46456162,36589971,28117067,254211638,25714745,25714783,33489876,33489767,33489766,25714822,19086520,13626927,9331074,9331072,255277349,13626857,9331036,6112161,6112162,9331038,13626862,19086434,15634685,15634686,13302831,13302830,14458906,14458908,13626869,13626870,19086446,25714708,27047763,26686152,26686151,25602154,25602155,33366657,37494167,33489754,25714661,19086415,19086416,25714662,33489756,42485704,42485700,33489753,28604783,28604784,29105431,21806970,21446808,19086412,13626849,13626848,19086409,18140049,12863393,8747972,5695508,3543691,3543692,5695510,8747977,255219929,24583922,24462200,18043139,12790357,8695545,8695543,10403671,10403670,15083410,255800643,255656114,31871914,24347868,17955945,12724180,12724181,17955948,254916394,24462192,24462191,255614239,18140029,24583850,32169672,28698639,256327527,24583734,18139956,12863348,12863349,18139961,24583745,32169550,40949061,37224492,37224491,257118419,40949176,32169678,32169679,40758232,32003233,32003232,40758226,37224502,28698664,21446821,21446820,256327531,46460033,40780108,32023905,24462202,24462203,32023910,40780118,50896436,62470860,51092427,51092425,51092393,40949095,257131353,42512884,33513365,32169591,24583784,24583783,32169589,38271401,40758259,40758258,47122244,37224495,36560739,28090788,28090787,32003252,40758040,32003067,32003066,33930275,42984244,257635704,75386504,62470811,50872913,40758177,40758032,268306256,32003138,40758099,50872800,40758055,32003085,32003083,40758054,32003280,32003279,33011340,41953598,52276156,52276155,52276167,41937277,32996434,32996436,31572786,24066972,17711168,17711167,24066970,31572782,257087305,53309981,42847485,33806855,33806856,42847488,40758061,40758060,50872807,50872915,50872816,50872818,62470753,50872826,40758084,32003111,32003110,255691252,46285287,46285286,57630090,63133860,51435906,41237777,41237778,46285279,46285280,50130965,40110664,31431228,256065054,27266284,27266283,35392635,44818369,44818346,35392622,35392623,44818350,50552889,40516673,32412487,24787415,24787414,32412484,41237786,51361907,41175749,32359977,255598808,51361904,63043205,68123879,62045582,50552981,50552982,62045584,72127263,59396310,50552838,50552839,40516638,31819920,31819921,256567413,50841348,55448763,50048216,50048217,61527621,65891910,64243271,64243270,268225986,40029189,31348948,23855065,17511973,17511972,268009818,40029186,50049143,50552886,62045523,74843777,63133864,51435912,51435911,55693629,68091492,76026199,76026198,74843767,62045508,50552868,42043336,40516678,31819953,256557469,31819915,31819917,40516636,50552848,61527628,50048220,40028411,31348444,31348445,40028413,255841210,40029177,31348942,31348943,40029181,50049137,58352880,71069141,74305285,72205294,59467607 Dl.O(d2) = 52799675,63286159,63286158,257234630,53706657,53706658,51567849,51567848,256159716,33371748,33371747,42360760,33411639,25644680,25644681,33411643,41345878,32498563,24856356,18359693,13035894,13035893,18359690,24856349,32498547,41345857,255693006,32498551,32498550,38149345,29583249,22235455,16100472,11183350,11183352,16100468,22235450,29583246,33589163,255686897,19148116,25793380,33589168,34591834,26605051,26605050,34591832,29583219,22235422,16100448,16100447,22235416,29583216,28621130,21384105,15401030,10644754,7028148,7028149,10644757,15401037,21384119,21853340,19086454,19086455,21384128,15401041,15401040,21384126,27118873,29583299,22235497,22235498,28621141,21384113,15401034,15401035,21384115,25714728,33489829,42485741,42485742,34218123,26344465,26344463,25051934,25051935,32742210,254462750,52892203,52892202,46456162,36589971,28117067,254211638,25714745,25714783,33489876,33489767,33489766,25714822,19086520,13626927,9331074,9331072,255277349,13626857,9331036,6112161,6112162,9331038,13626862,19086434,15634685,15634686,13302831,13302830,14458906,14458908,13626869,13626870,19086446,25714708,27047763,26686152,26686151,25602154,25602155,33366657,37494167,33489754,25714661,19086415,19086416,25714662,33489756,42485704,42485700,33489753,28604783,28604784,29105431,21806970,21446808,19086412,13626849,13626848,19086409,18140049,12863393,8747972,5695508,3543691,3543692,5695510,8747977,255219929,24583922,24462200,18043139,12790357,8695545,8695543,10403671,10403670,15083410,255800643,255656114,31871914,24347868,17955945,12724180,12724181,17955948,254916394,24462192,24462191,255614239,18140029,24583850,32169672,28698639,256327527,24583734,18139956,12863348,12863349,18139961,24583745,32169550,40949061,37224492,37224491,257118419,40949176,32169678,32169679,40758232,32003233,32003232,40758226,37224502,28698664,21446821,21446820,256327531,46460033,40780108,32023905,24462202,24462203,32023910,40780118,50896436,62470860,51092427,51092425,51092393,40949095,257131353,42512884,33513365,32169591,24583784,24583783,32169589,38271401,40758259,40758258,47122244,37224495,36560739,28090788,28090787,32003252,40758040,32003067,32003066,33930275,42984244,257635704,75386504,62470811,50872913,40758177,40758032,268306256,32003138,40758099,50872800,40758055,32003085,32003083,40758054,32003280,32003279,33011340,41953598,52276156,52276155,52276167,41937277,32996434,32996436,31572786,24066972,17711168,17711167,24066970,31572782,257087305,53309981,42847485,33806855,33806856,42847488,40758061,40758060,50872807,50872915,50872816,50872818,62470753,50872826,40758084,32003111,32003110,255691252,46285287,46285286,57630090,63133860,51435906,41237777,41237778,46285279,46285280,50130965,40110664,31431228,256065054,27266284,27266283,35392635,44818369,44818346,35392622,35392623,44818350,50552889,40516673,32412487,24787415,24787414,32412484,41237786,51361907,41175749,32359977,255598808,51361904,63043205,68123879,62045582,50552981,50552982,62045584,72127263,59396310,50552838,50552839,40516638,31819920,31819921,256567413,50841348,55448763,50048216,50048217,61527621,65891910,64243271,64243270,268225986,40029189,31348948,23855065,17511973,17511972,268009818,40029186,50049143,50552886,62045523,74843777,63133864,51435912,51435911,55693629,68091492,76026199,76026198,74843767,62045508,50552868,42043336,40516678,31819953,256557469,31819915,31819917,40516636,50552848,61527628,50048220,40028411,31348444,31348445,40028413,255841210,40029177,31348942,31348943,40029181,50049137,58352880,71069141,74305285,72205294,59467607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164715, s2 = 14193997, dlinesl.size( ) = 2 s1 = 11164715, s2 = 14193997, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11164715, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14193998, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11164859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164859, s2 = 11466346, int(edited[s2]) = 0 s1 = 11164859, s2 = 11466346, d1 = 19, d2 = 11 Dl.O(d1) = 256627732,33449970,37962147,29397758,29397757,37962145,37962153,29397763,29397762,28929856,28929855,37471196,47378264,37906083,29337289,29337287,258107493 Dl.O(d2) = 259326032,140736156,127379999,264206983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164859, s2 = 11466346, dlinesl.size( ) = 20 s1 = 14560762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14560762, s2 = 13308612, int(edited[s2]) = 0 s1 = 14560762, s2 = 13308612, d1 = 148, d2 = 107 Dl.O(d1) = 255555977,17410990,23735590,31219272,31219267,23735587,23735588,31219269,39895967,49915708 Dl.O(d2) = 255450162,15980904,15980903,22087346,23422384,17145323,17145326,21148218,17143808,17143810,23420270,30850535,25039089,25039088,22864556,22864555,30260504,24291106,17909343,12687934,8618692,8618691,12687929,17909331,15969879,11084959,11084960,15969882,22075448,17177578,17177579,15194888,10480721,10480722,15194894,16476032,21163373,15206891,10489455,10489453,15206887,18760250,18760249,22075705,15970106,15970104,22075697,20809354,14913891,14913893,11085168,7351006,4643292,4643291,7351003,11085162,15207330,10489881,10489883,15207338,21148153,15194839,15194837,21148144,15207396,15207398,15207379,10489917,10489918,15207387,15206538,10489116,7350891,4643240,2796893,2796894,4643243,7350897,11084984,15969935,22075510,23422653,17145601,17145603,22075536,15969959,15969958,11105905,11105904,15997689,22109415,22075667,15970080,15969852,11084945,11084946,15968607,15205325,15205326,21161709,21161182,15204827,10487687,10487688,15204831 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165143, s2 = 14907402, int(edited[s2]) = 0 s1 = 11165143, s2 = 14907402, d1 = 4, d2 = 13 Dl.O(d1) = 64844828 Dl.O(d2) = 257557802,260397794,59971318,256973395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165143, s2 = 14907402, dlinesl.size( ) = 8 s1 = 11165353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165353, s2 = 14194035, int(edited[s2]) = 0 s1 = 11165353, s2 = 14194035, d1 = 6, d2 = 6 Dl.O(d1) = 261467497,89417517,89417516,103511052,104148304,103511054,89417517,75655976,257738102,51080677,62710939,52879085,52879086,64798305,77992496,64798306,64798307,77992498,64798309,52879088,42475274 Dl.O(d2) = 261467497,89417517,89417516,103511052,104148304,103511054,89417517,75655976,257738102,51080677,62710939,52879085,52879086,64798305,77992496,64798306,64798307,77992498,64798309,52879088,42475274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165353, s2 = 14194035, dlinesl.size( ) = 2 s1 = 11165353, s2 = 14194035, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11165353, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14194036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14012199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14012199, s2 = 6541592, int(edited[s2]) = 0 s1 = 14012199, s2 = 6541592, d1 = 122, d2 = 120 Dl.O(d1) = 107598185,93198061,79083131,79083132,93198063,107598190,121967506,135888900,121967504,257820614,107598184,121967498,135888891,121967484,107598162,93198040,79083120,255687978,53671301,65727637,79083124,93198049,107598169,107598170,121967487,269526114,271607885,149108408,135888888,258437634,93198038,93198037,107598160,121967481,258437634,93198038,79083119,255687978,256154086,93198041,107598165,121967479,121967478,107598193,256671150,65727646,53671308,255687980,79083132,93198063,107598189 Dl.O(d2) = 270153794,44762983,256762574,255758690,59209377,53097724,49778673,49778672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14012199, s2 = 6541592, dlinesl.size( ) = 24 s1 = 11165619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165619, s2 = 11021222, int(edited[s2]) = 0 s1 = 11165619, s2 = 11021222, d1 = 19, d2 = 18 Dl.O(d1) = 53116324,53116325,53081753,53081754,43164310,43164309,47275685,47275684,42664304,33634839,33634838,42376023,33387316,25621706,19007336,19007335,25621704,33387313,42376021,42658056,42658057,53090423,42641265,33614695,28825278,21554583,21554584,28825281,33614631,25815028,25815027,25832027,33634833,25832028,25832029,33634836,33608286,25810101,19162116,19162115,25810100,33608283,41426190,32566001,32566000,24913665,24913664,25815075,19165843,19165842,25815069,30762384,30762383,39363651,33614659,25815056,25815057,25814576,19165489,13685814,9372386,254938105,19165485,19165847,19165845,19165844,25815079,33614688,39363662,33614694,33614693,33614637,25815030,19165809,13686042,9372554,6139498,6139347,6139346,9372385,6139506,6139505,9372569,13686062,19165849,19165829,13686052,255282215,19165795,19165796,25815014,23339414,17073211,11985160,8035102,5124827,5124828,8035104,254938125,19165820,25815044,25815011,25815010,19175468,19175469,25827171,25802327,19155918,13678677,13678676,13678683,9367259,9367260,13678685,19155930,256153569,30762394,33614608,33599281,25802328,25802329,19165816,19165817,25815039,255612872,33614656,25815055,25815054,25827194,19175489,13693336,9377870,9377869,9377865,9377864,13693325,19165825,25815053,26126025,25724217,19093277,19093278,25724220,33502074,33629188,33629187,268759899,42500706,42641238,256672172,25724207,19093267,19093268,25724209,19093272,13631587,13631588,19093274,25724213,33502069,25815000,19165786,19165783,25814994,33614594,33614598,42641241,42641242,47275580,37365482,255708412,15534315,10743287,10743288,15534317,21554504,28825189,25883109,21554615,255275950,10743342,14526258,14526257,20243993,255275948 Dl.O(d2) = 15534376,15534379,13565515,9287926,6084365,3807060,3807059,6084362,9287919,9372868,9372867,13686402,13565555,13565477,9287902,6084353,3807055,3807053,6084348,9287894,254453372,25621628,33387227,36718716,37941911,36718767,36718768,257214119,47202283,37294272,256675002,47202292,37294287,28760486,21500912,15493767,15493766,21500910,28760479,22165071,16042764,11139381,11139382,16042768,22165083,29504782,256873187,37294305,46606937,42868627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165619, s2 = 11021222, dlinesl.size( ) = 20 s1 = 11165699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165699, s2 = 11327868, int(edited[s2]) = 0 s1 = 11165699, s2 = 11327868, d1 = 21, d2 = 33 Dl.O(d1) = 270554055,87805162,101777685,115823931,128902267,261821759,261821757 Dl.O(d2) = 154785978,262640714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165699, s2 = 11327868, dlinesl.size( ) = 50 s1 = 8413004, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11165809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11165889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165889, s2 = 13250010, int(edited[s2]) = 0 s1 = 11165889, s2 = 13250010, d1 = 27, d2 = 28 Dl.O(d1) = 53174531 Dl.O(d2) = 19229006,19229007,16055461,16055462,22181856,29524135,29164512,21855798,15784210,15784209,16388559,16388560,16388760,17723861,17723862,16087222,11173111,11173113,16087228,22219113,24133865,17770132,12575401,254193042,15341653,267844300,17449631,12300629,12300630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165889, s2 = 13250010, dlinesl.size( ) = 32 s1 = 11165917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11165961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165961, s2 = 14035722, int(edited[s2]) = 0 s1 = 11165961, s2 = 14035722, d1 = 12, d2 = 20 Dl.O(d1) = 53190707,53190710,61979862,61979865,50487702,40451404,40451405,40454491,50490251,42616147,33592158,268304739,13674718,255281231,25796214,33592148,40454500,31760177,24248351,24248352,268691039,42616142,33592156,33592157,42616144,53063928,65046966,74776218,65176321,53190714,53190715,50487688,47072860,47072859,58449994,55443214,53190705,53190706,53190712,53190713,51030656,51030657,55443216,47072849,37179193,37179194,47072847,42741158,33711537,25905144,256160223,42741155 Dl.O(d2) = 271302430,84584771,259915055,84584769,270288064,257434508,255827018,21381201,15398734,15398733,256860709,268382989,7026590,4424383,2654804,2651427,2651428,256860707,258049963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165961, s2 = 14035722, dlinesl.size( ) = 22 s1 = 11166419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13460236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13460364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13460364, s2 = 10519385, int(edited[s2]) = 0 s1 = 13460364, s2 = 10519385, d1 = 2, d2 = 104 Dl.O(d1) = 53378114 Dl.O(d2) = 265057217,264832271,208156650,263998455,263271075,156329122,156329123,167909845,178337011,187538572,264306633,212903973,265057211,222716621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166611, s2 = 11157188, int(edited[s2]) = 0 s1 = 11166611, s2 = 11157188, d1 = 6, d2 = 10 Dl.O(d1) = 268769781 Dl.O(d2) = 9508429,13184166,9508303,9508302,13860598,19377110,16183536,11249276,11249277,13860000,13674441,13674440,19150385,256131139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166611, s2 = 11157188, dlinesl.size( ) = 14 s1 = 11166755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166755, s2 = 11039428, int(edited[s2]) = 0 s1 = 11166755, s2 = 11039428, d1 = 1, d2 = 1 Dl.O(d1) = 65506998,78839382,255511130,255511128,92946535 Dl.O(d2) = 65506998,78839382,255511130,255511128,92946535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166755, s2 = 11039428, dlinesl.size( ) = 2 s1 = 11166755, s2 = 11039428, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11166755, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13395797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13460884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13460884, s2 = 15252452, int(edited[s2]) = 0 s1 = 13460884, s2 = 15252452, d1 = 7, d2 = 13 Dl.O(d1) = 93007114,78897610,65562785,53538148,53538149,65562786,78897612,93007119,93007133,93007134,269317872,121797163,256874702 Dl.O(d2) = 127870364,127870363,141229357,142587057,142587056,153901096,141229354,127870361,127870362,141229356,153901098,153901105,141229363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13460884, s2 = 15252452, dlinesl.size( ) = 2 s1 = 13460884, s2 = 15252452, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13460884, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 15252451, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9125392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9125392, s2 = 8270573, int(edited[s2]) = 0 s1 = 9125392, s2 = 8270573, d1 = 16, d2 = 5 Dl.O(d1) = 257846318,52331576,52331577,64181879,77329223,64238996,52382917,257780447,77389860,77389881,64239022,64239021,74455650,61672432,268999301,257457223,18775469,18775468,25357853,33090915,25357874,25357873,33090941,42038961,52382947,52875274,52855709,52855708,52383338,42039357,33091362,25358304,18775947,18775946,25358303,25696927,33470117,269090549,42114550,33160141,25419060 Dl.O(d2) = 9304578,9304579,9320340,6105365,6105366,3829526,3829527,6120755,9304307,6094808,3813284,2284242,2284241,254449705,9304298,13588435,19036457,13677533,13677532,19154454,25800760,33597653,42622047,43278623,53803462,64984694,260306497,261466129,261435571,119881684,259654387,258399915,257195103,33148408,25407976,25407977,33148409,42102537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9125392, s2 = 8270573, dlinesl.size( ) = 8 s1 = 11167163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167163, s2 = 14077150, int(edited[s2]) = 0 s1 = 11167163, s2 = 14077150, d1 = 18, d2 = 27 Dl.O(d1) = 256698241,19517666,13971313,13971312,19517665,26233926 Dl.O(d2) = 256481514,37286166,28751774,28751773,37286165,47194737,38280563,34567209,34567210,39377815,30776319,23352516,17084978,11997385,8049972,8049970,11997381,17084971,23352500,30776304,39377801,40783541,32026996,24464965,24464964,32026991,30776394,257026589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167163, s2 = 14077150, dlinesl.size( ) = 18 s1 = 11167191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167191, s2 = 12289788, int(edited[s2]) = 0 s1 = 11167191, s2 = 12289788, d1 = 4, d2 = 19 Dl.O(d1) = 270503846,260250010,273226472 Dl.O(d2) = 172623217,272550818,259974065,85544443,71956584,59218175,47819897,37897934,29329392,21999018,15899614,15899613,21999014,29329383,37897921,36493457,28030910,20863372,20863373,28030912,36493460,46351196,57700354,57700312,46351145,36493419,268902403,258623439,97778767,111700607,116423112,116423111,116133744,102076257,88090071,88090068,102076249,116133734,130042970,143374781,155917271,167531506,178002041,178542336,168183299,259808626,144267769,143374776,143374777,261109346,178002037,178001828,167531063,167531062,178001826,187249110,195300116,202183892,262178300,261108698,259929578,178001849,187249128,261108700,155917605,143375141,130045450,130045436,130045437,143377545,155917464,143374999,143374998,155917463,262178302,130043190,130043189,143375045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167191, s2 = 12289788, dlinesl.size( ) = 8 s1 = 15974041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11167351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167351, s2 = 10983796, int(edited[s2]) = 0 s1 = 11167351, s2 = 10983796, d1 = 6, d2 = 8 Dl.O(d1) = 53729605,256181516,26263713,19543847 Dl.O(d2) = 6315154,3958168,267867227,254150824,10632442,10632443,15385402,19649213,14083994,9687656,254083304,8814717,5742394,3575630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167351, s2 = 10983796, dlinesl.size( ) = 18 s1 = 11167409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167409, s2 = 11253080, int(edited[s2]) = 0 s1 = 11167409, s2 = 11253080, d1 = 16, d2 = 20 Dl.O(d1) = 259103519,107753761,260886158,259048970,92957209,107362078,262485187 Dl.O(d2) = 270882280,87885317,258848484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167409, s2 = 11253080, dlinesl.size( ) = 22 s1 = 11167507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167507, s2 = 11275436, int(edited[s2]) = 0 s1 = 11167507, s2 = 11275436, d1 = 17, d2 = 11 Dl.O(d1) = 256703715,26317327,19591996,19591997,26317329,34189107,43286127,53811228,47059554,255401134,15420164,254334132,2658722,1538382,1526634,874377,493786,276997,152776,152774,276987,494039,875915,267787075,254500981 Dl.O(d2) = 256866457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167507, s2 = 11275436, dlinesl.size( ) = 8 s1 = 11167767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167767, s2 = 11182342, int(edited[s2]) = 0 s1 = 11167767, s2 = 11182342, d1 = 4, d2 = 7 Dl.O(d1) = 65958151,79321916,93453074 Dl.O(d2) = 107882210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167767, s2 = 11182342, dlinesl.size( ) = 10 s1 = 11167923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11168031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168031, s2 = 10561749, int(edited[s2]) = 0 s1 = 11168031, s2 = 10561749, d1 = 15, d2 = 66 Dl.O(d1) = 54093233 Dl.O(d2) = 220282421,217143319,213369827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168031, s2 = 10561749, dlinesl.size( ) = 2 s1 = 11168031, s2 = 10561749, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11168031, Dl.E( ) = 72, 4.6e-05 seconds used appending s1 = 11168227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168227, s2 = 11068950, int(edited[s2]) = 0 s1 = 11168227, s2 = 11068950, d1 = 3, d2 = 10 Dl.O(d1) = 54609541 Dl.O(d2) = 19355090,19173126,19173129,25824240,33625893,30406810,30406809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168227, s2 = 11068950, dlinesl.size( ) = 14 s1 = 11168251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14194206, s2 = 11168252, int(edited[s2]) = 0 s1 = 14194206, s2 = 11168252, d1 = 6, d2 = 6 Dl.O(d1) = 39091278,30494712,23081142,16828764,11768230,11768229,14466086,14466087,15673912,15673911,14465296,14465295,10851009,10851008,9952325,6540923,4098008,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466002,14466001,17881116,24258604,31770805,40465619,50501669,41555816,32664689,256072418,18467256,18467257,24990139,32664690,30313204,22913234,22913235,30313203,22913231,16680328,16680329,16443110,11456759,9947039,8718612,5675081,5675079,6537003,5675002,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,3644848,5840631,5671619,3527823,3527829,2178058,1262264,719138,719136,1262254,2178039,3643333,5671107,8711898,12220442,17347511,23665040,31152273,25007948,25007947,25006250,25006249,257165427 Dl.O(d2) = 39091278,30494712,23081142,16828764,11768230,11768229,14466086,14466087,15673912,15673911,14465296,14465295,10851009,10851008,9952325,6540923,4098008,4098009,6540936,9952358,7858007,4987351,3012362,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466002,14466001,17881116,24258604,31770805,40465619,50501669,41555816,32664689,256072418,18467256,18467257,24990139,32664690,30313204,22913234,22913235,30313203,22913231,16680328,16680329,16443110,11456759,9947039,8718612,5675081,5675079,6537003,5675002,5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,3644848,5840631,5671619,3527823,3527829,2178058,1262264,719138,719136,1262254,2178039,3643333,5671107,8711898,12220442,17347511,23665040,31152273,25007948,25007947,25006250,25006249,257165427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14194206, s2 = 11168252, dlinesl.size( ) = 2 s1 = 14194206, s2 = 11168252, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14194206, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11168275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168275, s2 = 11043194, int(edited[s2]) = 0 s1 = 11168275, s2 = 11043194, d1 = 17, d2 = 16 Dl.O(d1) = 66878325,80307940 Dl.O(d2) = 257402800,255587850,37976067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168275, s2 = 11043194, dlinesl.size( ) = 14 s1 = 11168439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168439, s2 = 6773937, int(edited[s2]) = 0 s1 = 11168439, s2 = 6773937, d1 = 5, d2 = 10 Dl.O(d1) = 54659194,43916858,254432160,19839245,254291138,12032869,12032871,16422371,18330403,16978506,254366406,18516455,18516454,25053703,32744319,256437812,257562578 Dl.O(d2) = 258293906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168439, s2 = 6773937, dlinesl.size( ) = 12 s1 = 11168467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168467, s2 = 11378124, int(edited[s2]) = 0 s1 = 11168467, s2 = 11378124, d1 = 12, d2 = 11 Dl.O(d1) = 54664848,66921415,70398962,60353318,48956860,39034816,30445391,23037814,23037815,28034795,28034796,36497634,30445397,23037819,16793342,11741970,7839569,4976439,4976441,7839575,5750316,5750315,8825323,12966335,255055974,31443469,255571683,12427476,12427475 Dl.O(d2) = 257659197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168467, s2 = 11378124, dlinesl.size( ) = 14 s1 = 14194223, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11168675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168675, s2 = 11339078, int(edited[s2]) = 0 s1 = 11168675, s2 = 11339078, d1 = 10, d2 = 24 Dl.O(d1) = 259767953,272077765 Dl.O(d2) = 152849400,152849406,258883162,126804994,126804974,258883158,152849383,140155278,140155279,126804967,112950944,112950943,98961864,98961862,258260522,140155292,152849396,260718710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168675, s2 = 11339078, dlinesl.size( ) = 14 s1 = 11168741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168741, s2 = 14022442, int(edited[s2]) = 0 s1 = 11168741, s2 = 14022442, d1 = 16, d2 = 31 Dl.O(d1) = 258286468 Dl.O(d2) = 31670012,31670014,24160401,17793022,12594080,12594081,254416410,24086512,17729210,12543253,12543250,17729201,12623756,12623755,17828438,15096043,10411540,267756160,18862248,13439123,9188435,9188434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168741, s2 = 14022442, dlinesl.size( ) = 26 s1 = 11168899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168899, s2 = 11431146, int(edited[s2]) = 0 s1 = 11168899, s2 = 11431146, d1 = 19, d2 = 16 Dl.O(d1) = 67545027,81014673,260392267,137250458,150290853 Dl.O(d2) = 263428703,162426870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168899, s2 = 11431146, dlinesl.size( ) = 20 s1 = 13595711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11169033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169033, s2 = 11671504, int(edited[s2]) = 0 s1 = 11169033, s2 = 11671504, d1 = 9, d2 = 9 Dl.O(d1) = 55228617,44378037,34999687,255738401,14350099,255322823,20033464,21726068,15680187,15680189,21307803,15337918,15337916,20033368,26917997,34999468,28097976,28097975,36569042,257396933,39763088,257048309,258240055,59091900,47693346,44377850,34999465,34999466,37560066,37559968,37559967,47466863,48285674,38374963,31084903,31084904,39763090,48172219,38262743,38262742,48172218,59558742,72292896 Dl.O(d2) = 55228617,44378037,34999687,255738401,14350099,255322823,20033464,21726068,15680187,15680189,21307803,15337918,15337916,20033368,26917997,34999468,28097976,28097975,36569042,257396933,39763088,257048309,258240055,59091900,47693346,44377850,34999465,34999466,37560066,37559968,37559967,47466863,48285674,38374963,31084903,31084904,39763090,48172219,38262743,38262742,48172218,59558742,72292896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169033, s2 = 11671504, dlinesl.size( ) = 2 s1 = 11169033, s2 = 11671504, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11169033, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11169117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169117, s2 = 11226012, int(edited[s2]) = 0 s1 = 11169117, s2 = 11226012, d1 = 12, d2 = 13 Dl.O(d1) = 258525187 Dl.O(d2) = 259579610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169117, s2 = 11226012, dlinesl.size( ) = 20 s1 = 11169281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169281, s2 = 11062942, int(edited[s2]) = 0 s1 = 11169281, s2 = 11062942, d1 = 9, d2 = 12 Dl.O(d1) = 55267046 Dl.O(d2) = 255726656,20080447,18555179,18555180,24779665,21426709,21426708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169281, s2 = 11062942, dlinesl.size( ) = 14 s1 = 11169327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169327, s2 = 10528292, int(edited[s2]) = 0 s1 = 11169327, s2 = 10528292, d1 = 0, d2 = 0 Dl.O(d1) = 55280234,44436102,35062119,35062118,44436101,55280206,67618172,81083929,86801399,73189397,60442731,49038876,39109059,30511934,30511933,39109057,49038873,60442707,73189378,259442159,98259771,112237803,98259732,258285606,58075998,268911519,36821317,46703895,258025923,70793378,257415945,46703906,58076007,70793382,84352230,86801381,86801382,100782126,98259763,259896641,112237835,98259781,84352265,70793415,58076033,46703923,36821334,28326061,28326060,36821331,46703917,58076026,70793404,70793402,84352257,84352258,98259773,112237832,112237787,271762975,123587444,126092706,112237763,98259736,84352215,84352214,84352213,98259734,112237805,112237816,112237815,98259748,84352225,70793375,58076003,58076004,70793377,271373922,84352245,70793393,70793392,84352242,257616012,115824014,129723116,139462863,259470616,98259676,98259677,112237766,98259778,258650733,58076024,58076023,70793406,84352261,98259704,84352186,70793345,70793346,84352189,270361798,84352172,98259674,98269071,87805276,87805277,87805280,84352254,70793399,58076020,46703914,36821329,28326058,28326057,36821325,46703911,58076016,70793396,84352251,98259686,112237775,126092709,112237770,98259682,84352170,70793336,257415943,36821306,255809073,21116318,28326047,36821309,46703879,58075973,70793339,84352176,98259692,258223562,270361797,101183801,112237691,112237690,112237778,259470610,73567740,60820425,60820426,73567741,87186451,98259579,84352066,84352067,270881370,84352177,260086911,101183804,101183805,115259852,261078282,259896639,259470596,84352065,98259577,260086914,98259605,84352084,269772663,46703888,46703887,58075984,70793209,258025921,256836597,256836595,58075979,70793221,58075866,46703758,46703759,58075868,58075875,270282661,70793356,70793211,58075859,46703754,46703753,46703869,36821300,36821301,46703870,36821312,28326050,28326051,36821310,46703884,58075878,46703765,36821188,28325935,21116225,15170108,15170107,255809059,36821182,270282824,73567868,73567867,70793326,58075964,46703873,36821303,28326045,21116317,255016899,10462672,15170184,268246708,36821314,46703752,58075854,70793208,73567846,73402554,260498693,98259571,84352059,70793214,70793215,60820355,49419792,257615999,73567686,87186407,87186405,74201798,61423185,49945314,39927749,31252560,31252559,38594921,30022260,22649388,22649387,30022256,38594917,48509764,59903315,49419842,49419841,60820412,49419951,39490049,30883800,30883801,39490051,39328880,30730577,30730578,256489616,255987313,17175234,17175233,23452183,30883816,39490075,49419977,60820560,73567876,87186579,87017377,269376140,49255701,39328912,30730592,30730591,39328908,49255699,255539216,39328895,30730585,23312026,17049652,17049651,23312016,23312017,30730570,39328863,49255644,60656227,257034872,39328888,49255677,60656276,67618182,55280219,55280217,67618181,81083940,73567871,73567872,87186577,87017410,73402578,60656291,49255688,39328896,39328897,49255690,60656293,60656245,60656244,60656305,60656304,73402584,257616008,60656300,73402485,73402486,60656295,49255703,39328913,30730595,23312030,17049656,11960905,8006868,8006867,11960903,17049649,23312021,30730576,39328878,49255665,60656264,73402553,87017396,76131477,76131478,87017379,87017361,73402504,60656204,60656200,60656201,73402499,73402574,60656288,60656289,73402577,73402537,60656247,49255657,258211263,49255651,39328867,39328866,49255649,49255588,39328898,30730587,30730589,39328904,49255694,49255632,39328854,30730566,268243901,17049646,23312013,30730562,39328852,49255629,60656157,73402459,60656256,49255660,257034882,60656203,49255609,39328839,39328840,49255613,258211259,87017363,73402571,73402570,73402465,73402467,258211255,49255560,257603633,30730526,23311984,23311982,23311990,30730531,39328807,39328836,30730551,23312007,17049641,11960900,8006864,5097309,5097308,8006861,255143457,23311976,30730516,39328788,49255543,60656084,49255494,49255493,49255487,39328735,39328734,257603615,60656096,257023171,261163757,29539251,255454733,11156715,16067458,16067705,11156888,7400179,4674916,4674919,7400183,11156896,16067717,12842905,8733615,8733614,12842899,268380516,38102944,38102945,39513036,30904876,23470243,23470239,30904871,39513029,257618123,258029578,51096585,40953396,36902011,28404658,28404659,256842755,269374866,257030830,30836501,30836333,268245705,17133120,23407320,30836334,39440311,39440506,30836629,23407639,23407638,30836627,30837226,30836125,23407145,23407146,23407158,30836139,39440155,39440889,49369364,49368914,39440249,39440250,38528004,29962411,29962410,33294479,30836193,30836192,32452736,30836113,23407138,17134056,17134055,21262710,15299907,15299909,21262718,19597727,19597729,23408065,23408066,30837066,38103058,256067202,255454752,38103059,48013561,49369375,39440913,39440914,42122914,42122915,256930742,46764214,40255379,269001563,48013652,43294664,34197047,257264343 Dl.O(d2) = 55280234,44436102,35062119,35062118,44436101,55280206,67618172,81083929,86801399,73189397,60442731,49038876,39109059,30511934,30511933,39109057,49038873,60442707,73189378,259442159,98259771,112237803,98259732,258285606,58075998,268911519,36821317,46703895,258025923,70793378,257415945,46703906,58076007,70793382,84352230,86801381,86801382,100782126,98259763,259896641,112237835,98259781,84352265,70793415,58076033,46703923,36821334,28326061,28326060,36821331,46703917,58076026,70793404,70793402,84352257,84352258,98259773,112237832,112237787,271762975,123587444,126092706,112237763,98259736,84352215,84352214,84352213,98259734,112237805,112237816,112237815,98259748,84352225,70793375,58076003,58076004,70793377,271373922,84352245,70793393,70793392,84352242,257616012,115824014,129723116,139462863,259470616,98259676,98259677,112237766,98259778,258650733,58076024,58076023,70793406,84352261,98259704,84352186,70793345,70793346,84352189,270361798,84352172,98259674,98269071,87805276,87805277,87805280,84352254,70793399,58076020,46703914,36821329,28326058,28326057,36821325,46703911,58076016,70793396,84352251,98259686,112237775,126092709,112237770,98259682,84352170,70793336,257415943,36821306,255809073,21116318,28326047,36821309,46703879,58075973,70793339,84352176,98259692,258223562,270361797,101183801,112237691,112237690,112237778,259470610,73567740,60820425,60820426,73567741,87186451,98259579,84352066,84352067,270881370,84352177,260086911,101183804,101183805,115259852,261078282,259896639,259470596,84352065,98259577,260086914,98259605,84352084,269772663,46703888,46703887,58075984,70793209,258025921,256836597,256836595,58075979,70793221,58075866,46703758,46703759,58075868,58075875,270282661,70793356,70793211,58075859,46703754,46703753,46703869,36821300,36821301,46703870,36821312,28326050,28326051,36821310,46703884,58075878,46703765,36821188,28325935,21116225,15170108,15170107,255809059,36821182,270282824,73567868,73567867,70793326,58075964,46703873,36821303,28326045,21116317,255016899,10462672,15170184,268246708,36821314,46703752,58075854,70793208,73567846,73402554,260498693,98259571,84352059,70793214,70793215,60820355,49419792,257615999,73567686,87186407,87186405,74201798,61423185,49945314,39927749,31252560,31252559,38594921,30022260,22649388,22649387,30022256,38594917,48509764,59903315,49419842,49419841,60820412,49419951,39490049,30883800,30883801,39490051,39328880,30730577,30730578,256489616,255987313,17175234,17175233,23452183,30883816,39490075,49419977,60820560,73567876,87186579,87017377,269376140,49255701,39328912,30730592,30730591,39328908,49255699,255539216,39328895,30730585,23312026,17049652,17049651,23312016,23312017,30730570,39328863,49255644,60656227,257034872,39328888,49255677,60656276,67618182,55280219,55280217,67618181,81083940,73567871,73567872,87186577,87017410,73402578,60656291,49255688,39328896,39328897,49255690,60656293,60656245,60656244,60656305,60656304,73402584,257616008,60656300,73402485,73402486,60656295,49255703,39328913,30730595,23312030,17049656,11960905,8006868,8006867,11960903,17049649,23312021,30730576,39328878,49255665,60656264,73402553,87017396,76131477,76131478,87017379,87017361,73402504,60656204,60656200,60656201,73402499,73402574,60656288,60656289,73402577,73402537,60656247,49255657,258211263,49255651,39328867,39328866,49255649,49255588,39328898,30730587,30730589,39328904,49255694,49255632,39328854,30730566,268243901,17049646,23312013,30730562,39328852,49255629,60656157,73402459,60656256,49255660,257034882,60656203,49255609,39328839,39328840,49255613,258211259,87017363,73402571,73402570,73402465,73402467,258211255,49255560,257603633,30730526,23311984,23311982,23311990,30730531,39328807,39328836,30730551,23312007,17049641,11960900,8006864,5097309,5097308,8006861,255143457,23311976,30730516,39328788,49255543,60656084,49255494,49255493,49255487,39328735,39328734,257603615,60656096,257023171,261163757,29539251,255454733,11156715,16067458,16067705,11156888,7400179,4674916,4674919,7400183,11156896,16067717,12842905,8733615,8733614,12842899,268380516,38102944,38102945,39513036,30904876,23470243,23470239,30904871,39513029,257618123,258029578,51096585,40953396,36902011,28404658,28404659,256842755,269374866,257030830,30836501,30836333,268245705,17133120,23407320,30836334,39440311,39440506,30836629,23407639,23407638,30836627,30837226,30836125,23407145,23407146,23407158,30836139,39440155,39440889,49369364,49368914,39440249,39440250,38528004,29962411,29962410,33294479,30836193,30836192,32452736,30836113,23407138,17134056,17134055,21262710,15299907,15299909,21262718,19597727,19597729,23408065,23408066,30837066,38103058,256067202,255454752,38103059,48013561,49369375,39440913,39440914,42122914,42122915,256930742,46764214,40255379,269001563,48013652,43294664,34197047,257264343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169327, s2 = 10528292, dlinesl.size( ) = 2 s1 = 11169327, s2 = 10528292, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11169327, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10528291, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14884654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11169593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11169607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169607, s2 = 11450700, int(edited[s2]) = 0 s1 = 11169607, s2 = 11450700, d1 = 0, d2 = 6 Dl.O(d1) = 67665099,259161323 Dl.O(d2) = 137371583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169607, s2 = 11450700, dlinesl.size( ) = 14 s1 = 11169731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169731, s2 = 11092444, int(edited[s2]) = 0 s1 = 11169731, s2 = 11092444, d1 = 18, d2 = 0 Dl.O(d1) = 55348811 Dl.O(d2) = 14450160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169731, s2 = 11092444, dlinesl.size( ) = 36 s1 = 11169769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169769, s2 = 10626187, int(edited[s2]) = 0 s1 = 11169769, s2 = 10626187, d1 = 14, d2 = 17 Dl.O(d1) = 268795904,255720322,12823751,8718625,5675085,5675090,6537003,5675002 Dl.O(d2) = 36654001,28178219,20996472,18475019,255295536,13125558,13014118,8860727,5775603,5775607,8860748,8946475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169769, s2 = 10626187, dlinesl.size( ) = 18 s1 = 13464920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10678116, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11170245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11170245, s2 = 10776041, int(edited[s2]) = 0 s1 = 11170245, s2 = 10776041, d1 = 9, d2 = 18 Dl.O(d1) = 259155641 Dl.O(d2) = 90567052,76698903,76698902,73297227,73297226,63588178,51802419,41524540,32638299,24968085,18448904,18448903,24968083,32638295,269058649,41524551,41524550,51802430,50060565,50060566,61538865,58920917,47539550,47539549,58920915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11170245, s2 = 10776041, dlinesl.size( ) = 8 s1 = 11170653, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13465764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11170823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11170823, s2 = 14106214, int(edited[s2]) = 0 s1 = 11170823, s2 = 14106214, d1 = 0, d2 = 55 Dl.O(d1) = 68098653 Dl.O(d2) = 210781962,205634724,199412775,199412774,196726304,263497936,262173770,132878571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11170823, s2 = 14106214, dlinesl.size( ) = 48 s1 = 14245914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14518348, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14518348, s2 = 10213046, int(edited[s2]) = 0 s1 = 14518348, s2 = 10213046, d1 = 11, d2 = 12 Dl.O(d1) = 258940223,86291861,72694199,258528400,48938557,48938558,43395071,43395072,53920199,50582788,40546953,31848944,24329226,17941030,17941029,24329224,31848940,40546947,50582780,40546960,31848951,24329231,17941033,17941032,24329229,31848947,257108371,40546971,40546969,50582803,62074728,51100290,51100291,62731298,72506458,59772349,59772350,59772348,269816363,269483960,75402410,80353832,272076469,122960699,108695280,269789522,54671113,51570603,50885319,269310058,37066932 Dl.O(d2) = 15391055,21371500,21338148,21338147,28565112,28565114,24473906,18053284,12798564,8701598,8701597,12798560,12986132,8840465,5761367,3588431,267776605,1235316,2139372,3588435,5761376,8840484,10682849,10682848,7056946,4442703,4442704,7056948,8840467,5761368,3588432,3588433,5761371,8840477,10682845,10682846,12986122,12986121,18295292,24473910,24473911,32036941,28690827,255404273,10678132,254501243,4439988,5617476,8637775,12712910,17941015,24329209,24775079,268470585,24775013,24774970,18295294,18295295,24774972,32398161,41221778,51418485,63115257,63115258,51418794,41222022,256083485,18295369,12986175,12986176,18295372,24775081,32398323,41221767,41221766,41221834,32398188,24775003,18295322,18295320,24774999,256595337,51418548,58398173,71116128,84680884,98606027,258974284,81621491,257934675,55734053,68131852,81621482,68131842,258555571,81601713,95634776,271670333,259809033,95634773,81621480,68131840,68131841,59195714,55716529,55716528,68112884,81601686,68112919,55716569,55716570,44810151,35385687,27260388,256239645,35385690,35385693,44810155,55716616,68112957,74184534,61404661,61404662,258554361,55716520,44810073,44810072,55716516,68112872,81601682,95634747,258554407,257333109,35386143,35385678,35385679,44810137,55716591,68112936,63115615,63115614,64146032,52293781,52293782,44810143,44810144,55716604,258554371,95634794,259809030,81601726,87788756,101761651,115807886,109838534,109838535,123978404,117395633,103266987,89177660,75430686,75430685,259182863,68112941,55716595,256766329,35385640,27260353,20326201,20326200,27260350,35385635,27260862,20326700,20326702,27260866,268837349,41221808,257333065,44810070,35386139,256766381,51418521,51418520,63115308,55717093,55717094,51418510,51418509,63115299,68112852,55716488,44810043,35385581,35385580,44810039,35385593,27260285,20326148,14587204,10037281,6596260,6596259,10037277,14587199,20326140,27260276,35385571,44810034,44810282,44810281,257933459,68113064,55716731,55716732,55716763,44810277,35385825,27260545,27260544,35385822,44810276,55716762,63115317,51418522,41221803,32398172,24774988,18295310,18295312,24774983,32398169,41221794,51418513,63115306,68112850,257333085,44810298,55716781,44810292,35385837,35385583,27260281,20326142,20326143,27260282,35385586,35385563,27260272,27260269,35385559,35385856,35385857,35385839,35385601,27260294,20326158,268051287,6596261,4132481,254476575,4132522,2472038,2472039,254476579,10037398,10037570,6596425,6596426,268051303,10037442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14518348, s2 = 10213046, dlinesl.size( ) = 2 s1 = 14518348, s2 = 10213046, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14518348, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10213047, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11170955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11170955, s2 = 11247002, int(edited[s2]) = 0 s1 = 11170955, s2 = 11247002, d1 = 0, d2 = 11 Dl.O(d1) = 55724764,44817364,256627358,273441750 Dl.O(d2) = 261719566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11170955, s2 = 11247002, dlinesl.size( ) = 20 s1 = 11171231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171231, s2 = 3362832, int(edited[s2]) = 0 s1 = 11171231, s2 = 3362832, d1 = 63, d2 = 116 Dl.O(d1) = 254477638 Dl.O(d2) = 256728295,54699970,66959344,80389655,94449257,108742653,123011656,136842535,149976494,162184109,173278396,183124599,191730861,199130684,199130687,205388468,210566372,205647675,205647676,210566372,210793058,210793061,205647677,199427892,192076753,183533983,173765056,162765177,150670816,137674381,123993079,109854301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171231, s2 = 3362832, dlinesl.size( ) = 12 s1 = 11171337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171337, s2 = 11474972, int(edited[s2]) = 0 s1 = 11171337, s2 = 11474972, d1 = 7, d2 = 9 Dl.O(d1) = 260463833 Dl.O(d2) = 263052775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171337, s2 = 11474972, dlinesl.size( ) = 8 s1 = 11171399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171399, s2 = 11655752, int(edited[s2]) = 1 s1 = 9424956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11171579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171579, s2 = 11398442, int(edited[s2]) = 0 s1 = 11171579, s2 = 11398442, d1 = 0, d2 = 29 Dl.O(d1) = 70344008,258072854 Dl.O(d2) = 125451508,125451509,263055795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171579, s2 = 11398442, dlinesl.size( ) = 2 s1 = 11171579, s2 = 11398442, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11171579, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 11171603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171603, s2 = 11394982, int(edited[s2]) = 0 s1 = 11171603, s2 = 11394982, d1 = 13, d2 = 11 Dl.O(d1) = 57655497,46310913,257385629 Dl.O(d2) = 97730250,261599623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171603, s2 = 11394982, dlinesl.size( ) = 14 s1 = 11171749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171749, s2 = 11339494, int(edited[s2]) = 0 s1 = 11171749, s2 = 11339494, d1 = 16, d2 = 13 Dl.O(d1) = 57684768,268901985,255785465,14952835,255785463,31768086,257684649 Dl.O(d2) = 257387923,36484276,28022475,20855529,14954481,10288334,6763284,4238582,4238583,5946582,9089931,11659346,7770701,4923871,2969499,2969498,4923868,254803527,16698661,22872778,30269825,256989499,60168130,270342883,261219063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171749, s2 = 11339494, dlinesl.size( ) = 16 s1 = 11171841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171841, s2 = 11266948, int(edited[s2]) = 0 s1 = 11171841, s2 = 11266948, d1 = 17, d2 = 18 Dl.O(d1) = 256810677 Dl.O(d2) = 255360987,10294955,254481855,254218243,827243,466976,262776,145606,145605,262774,466970,827224,1461413,2536098,4241730,4240087,2535164,2535163,2541404,1464197,1464199,829174,829175,1465346,2543484,4254639,6786806,6787685,5377393,5377395,5946887,8781691,6798132,6771224,6771204,5377570,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,737170,419000,418999,737166,1291531,1473149,833151,833152,1473151,254324071,1469565,831296,831297,1469568,2551125,4267019,6803936,7757395,6777631,6777632,6802609,6802612,10284113,6796774,4281274,4261923,4113222,4113225,6565807,8124110,6854380,6758153,4234933,4234931,2545855,2545856,4258477,6792109,5210870,3179134,2565936,2565937,4245239,4245236,5585070,3465079,2538536,2538537,4245848,4245892,2556478,1472515,1472516,2556483,4275875,4260082,4260080,6794346,8596355,5585638,5585639,8596361,6821397,6821398,6747683,4228111,2528090,2528091,4228114,6747692,10268388,14931549,14947823,13303782,9325159,6108397,3822001,2289876,1328594,1328593,2289868,3720452,3720453,3720465,2227767,2227768,3720473,5949296,6811537,4459852,3722190,2228735,1292556,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796835,1399961,2418484,4035832,255731913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171841, s2 = 11266948, dlinesl.size( ) = 20 s1 = 2888420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11171863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171863, s2 = 14123216, int(edited[s2]) = 0 s1 = 11171863, s2 = 14123216, d1 = 49, d2 = 47 Dl.O(d1) = 254089678,28036014,23038149,16793557,16793558,11742151,11742149,16793583,23038198,21755676,15701422,15701420,21755665,29049508,31476556,31476554,28245099,21045538,21045535,28245065,28245021,24542277,23978696,17634952,17634948,23981684,24734321,24734320,29848836,23320963,17055890,11964902,11964901,17055885,17630079,23321356,17056136,11965042,8009289,8009291,11965053,17056162,23321402,30742209,39341261,49267082,39441785,30837996,30837997,39441787,40157602,39442244,30839140,30839141,30839145,39443279,39443311,30839162,30839163,23970928,17621913,17621911,23970924,31466606,40150368,42491428,42491429,52898190,58003587,46627671,40157045,40157047,47616135,48853214,48853273,42367420,42367421,38933978,37377656,28837397,28837395,33604487,33604488,42629303,40166770,40166771,44389876,36637360,28162413,20982540,15070265,10393509,10393512,15070273,20982549,28162433,25294502,18720259,18720258,25294499,33020558,41963399,49266313,49266314,254602364,40167908,50192137,48328258,38419894,38419896,36583586,30740618,23320381,23320380,23320567,28245521,254857628,40285990,50307373,59813341,59813342,71794491,71794492,59714780,48328380,38420023,29852012,22486480,22486477,254770848,36741203,36741202,42367766,254860910,46628939,46615382,36727654,254602280,29233264,29233265,23977220,21819913,268212124,23471923,23471922,23471845,17190659,12087735,8128715,8128714,12087732,255524812,39515722,48469964,38557238,29987662,29987663,38557244,40158442,31474060,29232770,22485854,16313708,16313707,22485848,29850979,31484421,31484422,28234478,22378302,16221965,16221966,22378309,21915541,21915540,29232572,35013228,37795063,47715848,38945561,31466114,23970472,23970473,31466119,38687844,30111807,30111806,38687767,30111746,22731491,16526263,16526264,22731493,30111749,37795058,29232682,21915611,15832574,15832573,21915608,15832680,15832681,21915769,27289426,20354719,14610843,14610842,20354718,22378576,22378577,17650998,17650999,23994908,31492445,255256562,38687839,37795393,29233001,21915872,15832755,15832753,21915870,29232998,23988160,23988161,29232523,29232524,29736104,38021793,29851128,29851129,24020289,24020288,23987225,22485786,16313660,16313659,22485781,29232728,28882037,21916161,21915622,15832581,10971884,10971885,10971941,7262445,4580147,2755625,2755624,4580139,7262425,7499983,7499985,11296382,16248250,22378289,22378287,21916135,21916134,22592090,29851081,29851082,37795427,29233036,21915899,15832770,10971989,10971990,15832774,16221978,16221977,17669242,17669241,16221986,16221985,16247642,22411477,255658132 Dl.O(d2) = 141195436,261430048,262465648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171863, s2 = 14123216, dlinesl.size( ) = 46 s1 = 11172047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172047, s2 = 11104866, int(edited[s2]) = 0 s1 = 11172047, s2 = 11104866, d1 = 19, d2 = 16 Dl.O(d1) = 57740481,46390368,36530175,36530176,46390370,256451852,29488746,22215132,22215131,22211862,22211860,29556906,34168196,34168195,38122408,257512429,71807335,72536944,258117092,59359444,258117099,269799157,37846790,256534230 Dl.O(d2) = 35183615,35183616,32176191,24589764,18144569,12866503,12866504,12866483,12866484,18144530,24589699,29200057,29200059,22002112,15902060,15902059,22002109,29332851,24589525,18144438,12866436,12866437,18144441,24589530,23688951,23688952,31178191,33049468,255654947,18742243,25321078,33049467,40331815,33049311,25320909,25320910,33049313,41992660,49748175,256120150,39860764,49883804,61365048,61538627,257627822,269933123,25996649,19324928,13818773,13818774,19324929,25996651,33813478,42854838,38632396,30058668,26942869,26942870,35023660,255740252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172047, s2 = 11104866, dlinesl.size( ) = 8 s1 = 15108881, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11172825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172825, s2 = 11200184, int(edited[s2]) = 0 s1 = 11172825, s2 = 11200184, d1 = 12, d2 = 26 Dl.O(d1) = 255688894 Dl.O(d2) = 12730357,17964292,12829818,8723615,5678680,3531984,2101899,1210207,1210201,2101907,3532015,5678723,8723714,12829977,18095508,24527109,32102848,40875064,257710947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172825, s2 = 11200184, dlinesl.size( ) = 30 s1 = 13484195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13484195, s2 = 10891446, int(edited[s2]) = 0 s1 = 13484195, s2 = 10891446, d1 = 1, d2 = 1 Dl.O(d1) = 70583273,57881829,257015660,28181548,28181549,23216071,23216072,30280768,25932678,20999028,20999027,28181660,36658165,46525774,50524690,57613323,46525657,36658042,28181538,20998946,15083564,15083563,17899725,17899723,24280210,30639340,30639339,28181615,20998997,15090899,15090898,21011564,28203412,36693495,46525799,36658188,28181683,20999043,15083620,267959047,4303928,2573250,1481580,1481578,2573246,4303921,6858035,10403770,15083580,20998967,28181567,20998960,15083573,15083571,20998957,28181561,28181557,28181559,36658055,31794070,24280235,24280236,31794073,255969794,28181536,28181677,36658183,40489062,36658035,28181532,28181531,36658032,46525648,57881809,46579751,36693490,28203408,28203407,36693486,46579748,46525787,36658178,28181671,28181669,256288571,20999007,20999006,28181629,36658121,46525730,57881895,57881922,57881923,70583270,70583271,70583381,258016563,46525784,36658173,28181666,20999033,20999032,256288575,36658095,256826899,28181653,20999019,20999014,20999013,28181643,36658140,36658153,46525766,57881942,70583399,70583301,57881862,46525695,42284987,42284988,46525698,36658118,28181626,20999003,15083597,10403779,10403780,15083601,20999009,28181637,36658131,28181646,28181647,36658145,46525752,57881927,57881879,57881880,57881955,46525779,36658168,36658169,46525782,57881838,46525667,46525666,257406249,46525707,46525709,57881870,57881940,46525763,46525762,57881938,70583394,84120251,84120197,70583235,57881790,57881791,70583236,57881885,46525720,36658110,28181620,28181621,36658113,46525722,57881888,70583327,57956234,46579790,256826900,46579787,57956227,70675085,258641076,109811030,109811029,105887120,91680277,77753522,77753521,91680276,105887119,116110862,116110863,130020690,261758874,130020692,116110871,102053136,88067712,74455634,61672417,61672418,258894083,97995778,84120179,258271805,50188477,40164211,31479532,31479533,268999299,61672426,74455644,270795562,84120265,84120264,74455631,74455630,77753531,64571119,52671175,52671174 Dl.O(d2) = 70583273,57881829,257015660,28181548,28181549,23216071,23216072,30280768,25932678,20999028,20999027,28181660,36658165,46525774,50524690,57613323,46525657,36658042,28181538,20998946,15083564,15083563,17899725,17899723,24280210,30639340,30639339,28181615,20998997,15090899,15090898,21011564,28203412,36693495,46525799,36658188,28181683,20999043,15083620,267959047,4303928,2573250,1481580,1481578,2573246,4303921,6858035,10403770,15083580,20998967,28181567,20998960,15083573,15083571,20998957,28181561,28181557,28181559,36658055,31794070,24280235,24280236,31794073,255969794,28181536,28181677,36658183,40489062,36658035,28181532,28181531,36658032,46525648,57881809,46579751,36693490,28203408,28203407,36693486,46579748,46525787,36658178,28181671,28181669,256288571,20999007,20999006,28181629,36658121,46525730,57881895,57881922,57881923,70583270,70583271,70583381,258016563,46525784,36658173,28181666,20999033,20999032,256288575,36658095,256826899,28181653,20999019,20999014,20999013,28181643,36658140,36658153,46525766,57881942,70583399,70583301,57881862,46525695,42284987,42284988,46525698,36658118,28181626,20999003,15083597,10403779,10403780,15083601,20999009,28181637,36658131,28181646,28181647,36658145,46525752,57881927,57881879,57881880,57881955,46525779,36658168,36658169,46525782,57881838,46525667,46525666,257406249,46525707,46525709,57881870,57881940,46525763,46525762,57881938,70583394,84120251,84120197,70583235,57881790,57881791,70583236,57881885,46525720,36658110,28181620,28181621,36658113,46525722,57881888,70583327,57956234,46579790,256826900,46579787,57956227,70675085,258641076,109811030,109811029,105887120,91680277,77753522,77753521,91680276,105887119,116110862,116110863,130020690,261758874,130020692,116110871,102053136,88067712,74455634,61672417,61672418,258894083,97995778,84120179,258271805,50188477,40164211,31479532,31479533,268999299,61672426,74455644,270795562,84120265,84120264,74455631,74455630,77753531,64571119,52671175,52671174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13484195, s2 = 10891446, dlinesl.size( ) = 2 s1 = 13484195, s2 = 10891446, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13484195, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10891445, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11172989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172989, s2 = 14924739, int(edited[s2]) = 0 s1 = 11172989, s2 = 14924739, d1 = 8, d2 = 17 Dl.O(d1) = 256636068 Dl.O(d2) = 40257013,268256226,256524742,50278142,40257012,255567218,61758108,74541841,88156515,74541843,61758111,257071738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172989, s2 = 14924739, dlinesl.size( ) = 8 s1 = 14056822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11173611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11173611, s2 = 11440868, int(edited[s2]) = 0 s1 = 11173611, s2 = 11440868, d1 = 0, d2 = 25 Dl.O(d1) = 58093639,46721469,39391744,39391745,43358452,34258468,26380842,19646554,255717587,34258466,43358449,53882930,58295190,59039542,47637527,47637526,58316036,46949119,46949115,58316032,255792768,47637137,37714775,29154366,257481379,71781338,85370740,99315556,113319168,127178716,140525439,153207804,163565741,260479384 Dl.O(d2) = 165026626,175758656,174407287,174407283,174407284,165026641,165026640,175758665,165026639,153207798,153207797,261611444,261058410,263124431,262619346,185270914,193569381,200682509,193569378,185270909,272514370,261611432,273538917,185270915,185270916,192517171,184061554,174407287,174407283,174407284,165026641,165026640,175758665,165026639,165026638,175758663,262619348,199794663,263830102,263064930,273858329,219051195,218617905,265243346,273888210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11173611, s2 = 11440868, dlinesl.size( ) = 20 s1 = 14584078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13473993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13473993, s2 = 13635112, int(edited[s2]) = 0 s1 = 13473993, s2 = 13635112, d1 = 94, d2 = 102 Dl.O(d1) = 46738138,58108302,58332853,58332855,259297863,99015367,85089783,71517231 Dl.O(d2) = 98379607,105900520,259513262,120112759 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11173743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11173851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11173851, s2 = 11163158, int(edited[s2]) = 0 s1 = 11173851, s2 = 11163158, d1 = 12, d2 = 11 Dl.O(d1) = 256379354,37931622,29365263,22034779,22034780,29365265,37931624,37060151,28559250,21333197,15360287,15360288,256316661,46938622,58304640,50307432,40286063,40286062 Dl.O(d2) = 72721966,72721965,61468757,49991308,39975212,255173108,36759365,36759361,46645060,57657117,46312923,36460146,36460147,37455424,28916052,28916053,23582844,23582845,31067055,255372724,36460543,36460544,28001794,20836963,14937839,10273535,6751519,6751518,10273529,14937829,14937746,10273467,10273466,14937742,20836842,28001652,28001701,36460495,31067033,31067034,36459477,28000792,20836142,20836143,20836344,28001083,36459508,28000840,20836185,14937269,14937263,10273248,6751338,4230478,4230476,6751332,10273238,14937432,256270337,33976718,43033666,43033959,43033958,53512218,64783872,52864870,43033870,33976945,33976946,40953664,43033901,256402193,29703010,36818763,256635276,48178378,256120128,29702770,37709938,29149705,29149704,29149720,29149722,37709974,31178343,23689078,23689081,23689084,23689086,27094917,20195766,257918175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11173851, s2 = 11163158, dlinesl.size( ) = 14 s1 = 11174115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174115, s2 = 14009683, int(edited[s2]) = 0 s1 = 11174115, s2 = 14009683, d1 = 32, d2 = 21 Dl.O(d1) = 256844341,28421954,21199200,21199201,28421956,36920020,33105153,25370292,18786203,18786204,25370294,25370460,25370300,18786210,13380596,254647875,5985239,9146090,256122173,42054351,52398381 Dl.O(d2) = 189624704,264053255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174115, s2 = 14009683, dlinesl.size( ) = 28 s1 = 11174127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174127, s2 = 11113032, int(edited[s2]) = 0 s1 = 11174127, s2 = 11113032, d1 = 16, d2 = 19 Dl.O(d1) = 58166694 Dl.O(d2) = 254944086,6930584,4354460,2608297,1505396,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,17959536,12726774,12726775,17959543,24352595,31877540,28423344,28423343,33769892,26616525,19807610,19807611,19296920,19296921,25962650,24149888,24149889,28423942,31780174,24267633,17888814,12671052,8604938,8604937,12671047,17888807,24267625,25961912,25961910,33769898,25960975,25960974,28422910,21199978,19295806,13795812,9460074,6202742,6202744,6930558,6930686,6930695,10510202,15235670,11820021,11820020,12305849,12305850,17456115,256515739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174127, s2 = 11113032, dlinesl.size( ) = 24 s1 = 11174201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174201, s2 = 7025701, int(edited[s2]) = 0 s1 = 11174201, s2 = 7025701, d1 = 19, d2 = 27 Dl.O(d1) = 260506265 Dl.O(d2) = 264515904,262563938,261539266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174201, s2 = 7025701, dlinesl.size( ) = 20 s1 = 11174253, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11174299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174299, s2 = 11427612, int(edited[s2]) = 0 s1 = 11174299, s2 = 11427612, d1 = 8, d2 = 5 Dl.O(d1) = 255248842,36944073,32830380,32830381,41751224,52065158,257770385,271024927,133507393,146763068,159136628 Dl.O(d2) = 180616545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174299, s2 = 11427612, dlinesl.size( ) = 8 s1 = 11174323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174323, s2 = 10468557, int(edited[s2]) = 0 s1 = 11174323, s2 = 10468557, d1 = 22, d2 = 6 Dl.O(d1) = 255841594,36949745,256333374,257285990,91848786,270005053,42416171,42416170,255726918 Dl.O(d2) = 64733480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174323, s2 = 10468557, dlinesl.size( ) = 20 s1 = 11174335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174335, s2 = 11009514, int(edited[s2]) = 0 s1 = 11174335, s2 = 11009514, d1 = 15, d2 = 23 Dl.O(d1) = 272829141 Dl.O(d2) = 274010434,263617686,262330352,261279156,270898919,61367142,49886497,39864408,256003919,12237634,12237633,17369870,17773773,255171667,8314231,8314232,12309350,17460591,16167645,16167646,22313225,23692128,17369639,12237438,8263253,8263252,12237436,12570815,8525134,5523881,5523882,8306271,8306270,12298632,17373078,23695313,22314807,16169749,16169748,22314806,24161937,31582506,30375462,254401160,17467049,14515981,12036896,12036895,11237716,7458562,254610391,5533796,5557253,8548120,8548121,12273935,12273934,10757124,7107016,7107018,4714030,2839848,1647330,936634,936638,969672,936371,936372,1646784,2838793,3286235,4712309,4712307,4713121,7458738,11237918,10757861,7107574,7107571,4710470,2837680,1646147,936051,527508,527510,527475,295537,254124151,1646015,2837421,4710065,7454579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174335, s2 = 11009514, dlinesl.size( ) = 14 s1 = 2502181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11174387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174387, s2 = 10564960, int(edited[s2]) = 0 s1 = 11174387, s2 = 10564960, d1 = 11, d2 = 8 Dl.O(d1) = 58206854,46838682,36959569 Dl.O(d2) = 259287041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174387, s2 = 10564960, dlinesl.size( ) = 22 s1 = 15177223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11174639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174639, s2 = 11201020, int(edited[s2]) = 0 s1 = 11174639, s2 = 11201020, d1 = 14, d2 = 12 Dl.O(d1) = 59697521,59697520 Dl.O(d2) = 260510594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174639, s2 = 11201020, dlinesl.size( ) = 12 s1 = 16032816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11175383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175383, s2 = 11240478, int(edited[s2]) = 0 s1 = 11175383, s2 = 11240478, d1 = 20, d2 = 29 Dl.O(d1) = 256859845,28608932,21374125,21374126,258673305 Dl.O(d2) = 263180481,263484660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175383, s2 = 11240478, dlinesl.size( ) = 24 s1 = 11175935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175935, s2 = 10470066, int(edited[s2]) = 0 s1 = 11175935, s2 = 10470066, d1 = 6, d2 = 81 Dl.O(d1) = 71210551 Dl.O(d2) = 228446629,230043241,231459636,232728609,266337519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175935, s2 = 10470066, dlinesl.size( ) = 30 s1 = 1787398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1787398, s2 = 13430095, int(edited[s2]) = 0 s1 = 1787398, s2 = 13430095, d1 = 0, d2 = 39 Dl.O(d1) = 47007887,37121466,37121467 Dl.O(d2) = 28610989,28610990,37121463,37121466,255829837,15394414,267963227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1787398, s2 = 13430095, dlinesl.size( ) = 48 s1 = 11176003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176003, s2 = 11341574, int(edited[s2]) = 0 s1 = 11176003, s2 = 11341574, d1 = 1, d2 = 11 Dl.O(d1) = 71225297 Dl.O(d2) = 260530179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176003, s2 = 11341574, dlinesl.size( ) = 14 s1 = 15692679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16266098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11176313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176313, s2 = 11862441, int(edited[s2]) = 0 s1 = 11176313, s2 = 11862441, d1 = 6, d2 = 11 Dl.O(d1) = 270296195,98822780,112814103,126671164 Dl.O(d2) = 262664149,263862605,200375022,200375021,200375022,193214879,193214880,200375024,206283218,200213041,193024386,261868668,139653436,126283409,269888624,84510713,70947077,70947076,59400358,48012750,48012749,59400355,49888691,49888692,61369378,258869607,101726375,114102394,100071672,86106343,72507647,257030666,48390388,59773510,48390393,38487237,29926526,29926527,32361354,32856923,25150099,25150097,32856915,41777499,52091054,63909953,66975208,54716240,43972452,34697249,26702716,19881695,14245219,9792549,6437694,6437693,9792548,268022515,9110348,13333627,18729983,13333580,13333581,18729985,17241732,12124560,12124558,9781247,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176313, s2 = 11862441, dlinesl.size( ) = 2 s1 = 11176313, s2 = 11862441, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11176313, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11862442, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11176315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176315, s2 = 1797262, int(edited[s2]) = 0 s1 = 11176315, s2 = 1797262, d1 = 12, d2 = 11 Dl.O(d1) = 58588778,47197436,257452717,39217206,256469764,23198450,256469781,48478773 Dl.O(d2) = 38565262,29994886,29994885,38565261,48478774,47197436,37289097,28755233,28755234,30514634,28932277,28932278,256469783,39217223,30620043,23198463,16929622,16929621,23198462,257014465,255896158 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176739, s2 = 11111610, int(edited[s2]) = 0 s1 = 11176739, s2 = 11111610, d1 = 4, d2 = 0 Dl.O(d1) = 58669345 Dl.O(d2) = 37367902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176739, s2 = 11111610, dlinesl.size( ) = 8 s1 = 11176973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11176973, s2 = 11440840, int(edited[s2]) = 0 s1 = 11176973, s2 = 11440840, d1 = 7, d2 = 13 Dl.O(d1) = 259940913 Dl.O(d2) = 164662492,175420836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11176973, s2 = 11440840, dlinesl.size( ) = 14 s1 = 16269915, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7991057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7991057, s2 = 4442488, int(edited[s2]) = 0 s1 = 7991057, s2 = 4442488, d1 = 28, d2 = 65 Dl.O(d1) = 9102744,9102745,13322768,17880286,17880285,256046293 Dl.O(d2) = 164473476,175252674,175252610,164473426,164473427,175252614,164473457,164473458,175252651,184817900,193169376,193169377,193169366,184817869,175252625,164473435,164473436,175252626,184817871,184817929,175252681,164473481,261252814,112685998,98691679,84764655,71196436,58475068,47097286,37201346,37201347,47097289,58475073,65248165,53528072,53258760,42805835,42805833,53258758,257831394,53258772,60475648,53690195,43179359,34095120,26232963,19516849,255120258,19298022,254964153,254964151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7991057, s2 = 4442488, dlinesl.size( ) = 18 s1 = 11177521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11177521, s2 = 11335962, int(edited[s2]) = 0 s1 = 11177521, s2 = 11335962, d1 = 15, d2 = 6 Dl.O(d1) = 270301099 Dl.O(d2) = 126860641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11177521, s2 = 11335962, dlinesl.size( ) = 16 s1 = 15622683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178021, s2 = 11137178, int(edited[s2]) = 0 s1 = 11178021, s2 = 11137178, d1 = 7, d2 = 13 Dl.O(d1) = 257797912,10879140,7192605,7192606,10879143,15715763,258709601 Dl.O(d2) = 113109581,105446002,91223612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178021, s2 = 11137178, dlinesl.size( ) = 8 s1 = 10945922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178849, s2 = 10438469, int(edited[s2]) = 0 s1 = 11178849, s2 = 10438469, d1 = 3, d2 = 1 Dl.O(d1) = 255879044 Dl.O(d2) = 113048937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178849, s2 = 10438469, dlinesl.size( ) = 8 s1 = 11178861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178985, s2 = 10428275, int(edited[s2]) = 0 s1 = 11178985, s2 = 10428275, d1 = 6, d2 = 0 Dl.O(d1) = 258725043,99413114,271793207,140618749,272850679,175836730,273344133,193633089,185341425,185341426,175836741,165112231,153298708 Dl.O(d2) = 99413115,261145693,153298696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178985, s2 = 10428275, dlinesl.size( ) = 2 s1 = 11178985, s2 = 10428275, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11178985, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 11179221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13475852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11179253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179253, s2 = 11186110, int(edited[s2]) = 0 s1 = 11179253, s2 = 11186110, d1 = 11, d2 = 8 Dl.O(d1) = 60597325 Dl.O(d2) = 60597322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179253, s2 = 11186110, dlinesl.size( ) = 14 s1 = 11179281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179281, s2 = 6823380, int(edited[s2]) = 0 s1 = 11179281, s2 = 6823380, d1 = 48, d2 = 44 Dl.O(d1) = 262695897 Dl.O(d2) = 258881204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179281, s2 = 6823380, dlinesl.size( ) = 14 s1 = 11179369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11179409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179409, s2 = 11384000, int(edited[s2]) = 0 s1 = 11179409, s2 = 11384000, d1 = 7, d2 = 12 Dl.O(d1) = 257037258 Dl.O(d2) = 127381785,140737719,261263168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179409, s2 = 11384000, dlinesl.size( ) = 14 s1 = 11179453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179453, s2 = 10788857, int(edited[s2]) = 0 s1 = 11179453, s2 = 10788857, d1 = 2, d2 = 0 Dl.O(d1) = 258732257,85626323,85626322,72038078,258736853 Dl.O(d2) = 257677854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179453, s2 = 10788857, dlinesl.size( ) = 8 s1 = 16086767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8083419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11179881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179881, s2 = 10977652, int(edited[s2]) = 0 s1 = 11179881, s2 = 10977652, d1 = 7, d2 = 13 Dl.O(d1) = 255414764,29448969,22115342,16002671,16002672,22115344,29448972,38011189,47256104,37346669 Dl.O(d2) = 256438894,47866119,37947897,35186176,255751841,20197936,27097392,35186178,44564460,49126942,60527695,71297250,58565277,47176504,47176503,37517580,37517581,31165992,31165993,39847791,49870021,58234965,256509024,53057613,53057614,256106884,30046811,22671476,16475516,16475517,22671478,30046819,33483554,25709893,25709894,19236864,19236865,25897156,29321426,26159880,19460166,19460167,19433512,13905266,9542980,6260994,5440493,5440490,8428097,8589544,9308191,6097322,3814859,3814862,6097335,6261997,6261994,9308077,9308116,9308115,6169098,3860122,2312487,1341551,766156,766158,1341564,1362558,1341716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179881, s2 = 10977652, dlinesl.size( ) = 14 s1 = 15481413, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11180055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13477160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180271, s2 = 10375147, int(edited[s2]) = 0 s1 = 11180271, s2 = 10375147, d1 = 9, d2 = 11 Dl.O(d1) = 254829618,25032542,18499676,13143407,8958037,5847121,5847122,8958038,13143410,18499680,23017162,23017159,24346930,17955225,12723718,8645696 Dl.O(d2) = 16925489,11845976,7917346,7917347,11845978,16925493,23192514,29858969,22495300,16321512,16321513,22495302,29858973,38424207,48330896,257013569,257013567,42096100,33141941,33141940,42096098,52449012,255199524,49135347,39208403,30612221,23192499,16925481,11845968,7917341,7917342,11845971,11938135,7989703,7989704,11938137,255527487,30697694,39295399,39295400,49222460,60623743,73279917,257499570,73369364,73369363,72452822,72452823,60535494,49135345,49135340,39208394,257013565,256919316,30612218,30612217,39208396,47212933,37306338,28772544,28772543,37306336,47212931,58602195,71333978,60535504,49135351,39208405,39208406,49135354,60535510,73279907,73279906,73279924,86891177,77481083,64316875,52449115,52449114,64316872,60535521,60535519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180271, s2 = 10375147, dlinesl.size( ) = 8 s1 = 11180391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180391, s2 = 11436578, int(edited[s2]) = 0 s1 = 11180391, s2 = 11436578, d1 = 1, d2 = 12 Dl.O(d1) = 72162110 Dl.O(d2) = 262707411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180391, s2 = 11436578, dlinesl.size( ) = 14 s1 = 15344435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15344435, s2 = 7039438, int(edited[s2]) = 0 s1 = 15344435, s2 = 7039438, d1 = 2, d2 = 26 Dl.O(d1) = 58317907 Dl.O(d2) = 261713811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15344435, s2 = 7039438, dlinesl.size( ) = 18 s1 = 11180471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180471, s2 = 11164336, int(edited[s2]) = 0 s1 = 11180471, s2 = 11164336, d1 = 11, d2 = 9 Dl.O(d1) = 268146950,5408045,5408044,5023465,5023466,5408200,8380276,12384159,12407230,12407226,12384321,12384320,17060335,17924140,17617885,12435897,8404835,8404834,12435893,16800970,11747689,7843454,7843455,11747694,12397387,8378247,8378245,11899186,13529053,13529054,15274802,21242118,17393376,12257256,8277961,8277962,12257261,13989467,15274843,10541344,10541343,13527405,13527404,12390585,8373302,8373303,8379802,8379800,12382210,8367172,5400155,3320328,3320329,5400161,8367183,11748335,8385305,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,12259676,8279523,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,6898189,4330246,4330249,6898203,10465102,12639784,12639300,8581616,5575947,5575943,6985399,10589342,15332148,12400715,8380630,8380631,12318244,12318242,12263777,12262553,8281282,5342895,3283824,3283827,5342910,8281334,12262746,12394464,12262363,8281136,8281137,12262364 Dl.O(d2) = 256510697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180471, s2 = 11164336, dlinesl.size( ) = 12 s1 = 11180561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180561, s2 = 11324786, int(edited[s2]) = 0 s1 = 11180561, s2 = 11324786, d1 = 7, d2 = 5 Dl.O(d1) = 59452360,48061217,48061216,58279578,47192002,37283408,268270398,28607961,21373351,15392477,10637761,7268192,7268193,10980694,15845050,11276494,8970495,5856106,3655528,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,8738864,8705867,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2099848,2099846,3528322,5672502,8714169,9137254,12816583,14417876,17946092,17946093,20267649,254916116,19288911,19288910,21318178,21347283,15371850,254943682,7009944,10621669,11003367,15386083,10633026,7018951,7018952,10633029,15386085,254332912,9124588,11004123,7284519,4593846,4593849,7284525,7256970,4576836,2753665,1596288,1596293,910911,910914,1596240,2753570,4576681,7256702,9393764,9136101,5978549,3738635,3738641,5978570,9136130,11002611,13367083,9997200,9552343,6267881,6267884,6530096,4593259,2763396,2763395,4593251,7283554,11002806,9124578,9124573,9134546,7285360,7285364,6516147,6516146,9915329,10404782,10404783,7285391,4594363,4594367,3521132,3521128,5661525,8697981,12793687,9133946,9133943,9123183,6154271,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,8744419,5978815,4593181,4593150,4593153,7283408,7271518,4592925,4592926,5977653,9134653,6149974,6149970,9387253,11001478,7285430,4594382,2764006,2764002,3850173,2306822,2306799,1338519,764566,434913,245609,245607,434901,764619,1338637,2307039,3850620,5827825,5827821,5977988,3738335,3738332,5626871,5626873,5630137,3498423,2078953,2078952,3498412,5630108,3541579,2108484,1214557,1214560,2108498,3541682,2185237,2185236,2235705,2185254,2185252,3653758,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702257,13355073,10665868,7044101,7044102,7638630,7638631,8638279,10619768,15369447,12825198,8719608,8719607,12716539,12716542,9133079,5976695,5976694,6268282,9387404,6199540,3880307,3880304,6199532,9455503,7282076,7282074,6153388,6153389,9392739,13713523,19201442,15407823,10649964,10649963,15407821,15874327,14418439,9916909,6517290,4083562,4083563,3898470,3898469,6226980,8738817,10042747,14421576,9920065,6519747,6519745,9916946,6517321,4083583,4083581,4084537,4083619,3530322,3530325,5676152,8720241,12825861 Dl.O(d2) = 24522256,25333153,19813646,14192481,254939896,4024621,2411804,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300021,2763031,1601743,910756,910753,1601732,2763061,4592602,7282452,8840602,5761464,5761466,8840605,10675114,7050985,7050983,8650811,5626781,3496169,2077396,1193865,1193866,764286,764288,1338022,2305851,3848301,4091798,2448098,1415446,1415447,2448103,4091814,6530355,5635349,3502198,2081715,2081714,3502197,5635347,8662780,12746925,17985498,16100015,11183040,7420132,7420133,11183043,16100022,11183058,254527075,4689030,7420141,10447905,6887649,4324067,4324066,6887645,10447899,11183010,16099975,255896167,38148433,48061218,258124445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180561, s2 = 11324786, dlinesl.size( ) = 2 s1 = 11180561, s2 = 11324786, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11180561, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11180573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13477709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180633, s2 = 14326825, int(edited[s2]) = 0 s1 = 11180633, s2 = 14326825, d1 = 23, d2 = 31 Dl.O(d1) = 259373357 Dl.O(d2) = 46938610,37060139,257434485,71019827,58304618,46938609,37060137,37060138,37060139,28559238,255397446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180633, s2 = 14326825, dlinesl.size( ) = 34 s1 = 8333568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11180719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180719, s2 = 11347586, int(edited[s2]) = 0 s1 = 11180719, s2 = 11347586, d1 = 13, d2 = 11 Dl.O(d1) = 59474573,48084293,38171937,36472985,28012631,20846899,14946450,268111684,7061312,7061311,10688928,15459107,21458876,25912842,256015480,255301978,26263649,257854981 Dl.O(d2) = 261512267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180719, s2 = 11347586, dlinesl.size( ) = 14 s1 = 11180849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180849, s2 = 11325462, int(edited[s2]) = 0 s1 = 11180849, s2 = 11325462, d1 = 10, d2 = 3 Dl.O(d1) = 258751935,99786955,113800751 Dl.O(d2) = 260403415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180849, s2 = 11325462, dlinesl.size( ) = 8 s1 = 13539281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11863984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13478142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181089, s2 = 11047684, int(edited[s2]) = 0 s1 = 11181089, s2 = 11047684, d1 = 6, d2 = 0 Dl.O(d1) = 72287480 Dl.O(d2) = 51212466,256602070,255630838,5719777,8782202,12787393,12787392,9921387,7041108,4430827,4430826,7041105,10661771,14417627,12796473,12796472,12815171,8713918,8713917,254690018,7283516,7283515,11002733,268338705,13365950,9134660,9134662,13365954,11000359,7281804,4592211,4592212,268739280,268486791,18704745,16523870,15051605,14955693,267809430,20342018,20342017,27277734,29831899,255562316,29725253,22368744,21218752,15249912,15249911,255251516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181089, s2 = 11047684, dlinesl.size( ) = 68 s1 = 11181143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181143, s2 = 10735442, int(edited[s2]) = 0 s1 = 11181143, s2 = 10735442, d1 = 9, d2 = 17 Dl.O(d1) = 59564539,48178034,48178033,43024771,33967074,26128580,19433756,19433754 Dl.O(d2) = 2248045,3753958,6002727,254920119,18826733,25418507,30625014,26032148,26032147,30622465,268215870,16931359,23200649,255437130,33298097,33298095,38027000,38195712,29628673,22276764,22276761,29513525,22172141,16048126,11210231,10524869,10524868,7349886,7349887,11083685,15173756,10464914,6898094,6898093,10464910,15173754,21121543,28262839,36757981,30807986,23379700,23379699,23962786,29633156,22281055,16137308,11210011,11210010,16103504,22238977,28333198,28333197,36829512,38199924,38199925,48065833,38152962,29586802,22238972,22238973,29586804,38152964,48065836,54610567,43867748,34597324,34597327,43867752,256721390,37736911,40221456,31535396,31535397,40221459,46711993,40139601,31457518,31457519,40139603,257611361,39435145,39435144,49364402,60767390,73516401,80358290,257285040,43933354,38199931,31535408,31535407,256487244,47886099,257032402,80297991,74428824,61646961,61646962,50241514,40221579,268444719,17682009,255579153,31535510,40221580,256030848,255189714,24033055,24029996,24029997,28567725,28567726,37069987,46949568,58316577,61720322,50241529,40221482,268444715,17681975,255579149,17681970,24032989,24033049,31535483,40221558,256536766,40221463,50241520,61720315,74501731,257742720,61720373,50241615,50241616,40221583,268444721,17682013,12504837,8470931,5475587,5475586,8470929,12504834,17682008,24033063,31535507,31535494,255189712,17682006,24033058,31535499,37069985,37069984,46949566,58316574,61720318,50241526,40221479,31535415,31535414,40221476,50241523,50241530,60461611,59282546,47886112,47886113,59282544,47886107,47886108,59282545,67784950,74501761,74501760,61720375,50241617,40221554,31535482,24033048,17682001,17682000,24033044,31535476,40221546,50241605,61720366,270350994,49057943,39127915,39127916,257588391,269838127,86821372,100802616,100802666,86821443,86821368,73208573,60461613,49057916,39127900,39127899,256462996,23111530,30529574,39127954,49058008,60461695,73208646,86821439,98818144,98818145,100802640,258356428,73208563,60461605,49057907,49057906,60461603,60461722,60461645,60461646,58583361,47192072,37283500,37283501,47192075,58583366,258687743,86821408,86821402,73208668,60461738,49058015,49058014,49057902,39127894,39127893,49057901,39127959,30529575,256463291,49058011,60461735,60461734,73208665,86821440,100802665,114854034,114854033,100802613,86821361,73208567,269469348,39127897,39127896,49057911,60461608,71316796,58583364,269785169,71316786,58583358,47192069,47192068,58583353,71316784,84890887,98818120,100802604,114854028,128752077,114854023,100802602,86821353,73208557,60461598,60461597,73208553,86821351,100802597,114854019,128752068,140517817,260535042,126625169,112770059,112770060,100802608,86821358,73208561,73208560,84890894,98818126,260824047,118540558,123762029,123762028,123768309,112809370,98818114,84890879,258063211,58583348,71316776,80302591,80302595,81262715,81262716,259797991,104353812,90198439,90198421,76368784,76368785,89165843,75417967,75417969,85363922,99308669,113312085,260023980,99307556,99307555,113311134,116759531,102664788,88656663,75008896,75008897,256477392,89165835,90198442,76368795,76368796,90198444,104353818,98820128,84892953,71318962,71318963,76983751,63873024,52054189,41739617,41739616,52054185,63873021,76983750,90861708,105040240,99307558,85362670,85362671,98894588,84968942,270815689,87117606,73498968,73498967,87117603,87220314,77285056,256477394,75008905,62189338,50672453,50672454,62189340,75008908,88656677,102664798,101007616,87014142,76983763,76983762,72635832,60644449,60644448,49347572,39418105,39418106,49347574,49446452,52054194,49351048,39421379,39421381,49351051,60753970,73503000,258315490,63873014,76983744,84892958,84892957,90861712,90861711,87694025,87694024,88656658,88656659,102664778,100206699,86238469,258210234,90861709,101115934,101115936,101665744,87694042,87694043,88656679,88656680,102664802,115078686,115078685,115078691,101007633,87014155,87014131,73398693,60652426,60652424,61305755,61305754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181143, s2 = 10735442, dlinesl.size( ) = 14 s1 = 11181237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181237, s2 = 11467292, int(edited[s2]) = 0 s1 = 11181237, s2 = 11467292, d1 = 3, d2 = 20 Dl.O(d1) = 72312565,85906146 Dl.O(d2) = 263532566,219239454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181237, s2 = 11467292, dlinesl.size( ) = 24 s1 = 11181307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181307, s2 = 6028488, int(edited[s2]) = 0 s1 = 11181307, s2 = 6028488, d1 = 81, d2 = 86 Dl.O(d1) = 270288023,112504060,126375457,260640202 Dl.O(d2) = 240468924,240049628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181307, s2 = 6028488, dlinesl.size( ) = 42 s1 = 15430568, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11181519, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13478724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10650729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181719, s2 = 11479674, int(edited[s2]) = 0 s1 = 11181719, s2 = 11479674, d1 = 30, d2 = 32 Dl.O(d1) = 273533558,141217901,153889713 Dl.O(d2) = 176334691,165666212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181719, s2 = 11479674, dlinesl.size( ) = 36 s1 = 15547330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181831, s2 = 11208892, int(edited[s2]) = 0 s1 = 11181831, s2 = 11208892, d1 = 10, d2 = 2 Dl.O(d1) = 256859670,29814081,256411061 Dl.O(d2) = 72418257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181831, s2 = 11208892, dlinesl.size( ) = 8 s1 = 11181843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181843, s2 = 3289896, int(edited[s2]) = 0 s1 = 11181843, s2 = 3289896, d1 = 61, d2 = 58 Dl.O(d1) = 59686010,48299400,256753028,29815946,38388828,38274747,29708043,22449981,22449980,29817634,22533913,16360479,11385476,11385475,16278365,16278364,20135884,14441841 Dl.O(d2) = 258381857,91122453,105343387,260848709,105343375,271525847,260848715,260848713,105343384,91122446,91122447,105343374,105343373,119577152,119577158,119577162,105343381,91122446,77205585,64064640,52223296,52223295,64064637,77205581,64064644,52223299,52223297,258381853,91122449,259636125,260252829,133443945,133443938,119577159,271978941,260252821,105343380,119577160,105343384,91122446,77205585,260848711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181843, s2 = 3289896, dlinesl.size( ) = 24 s1 = 11182165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11182235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182235, s2 = 10986122, int(edited[s2]) = 0 s1 = 11182235, s2 = 10986122, d1 = 47, d2 = 43 Dl.O(d1) = 259396887,114081755,272217537 Dl.O(d2) = 257105068,256049416,62045921,267916806,17922749,12698805,8627351,8627352,12698807,12697096,8626086,5608751,3483110,3483109,5608724,3483105,3483104,5608719,7888521,7888522,11809803,12692813,11809966,11809965,16458103,16458104,11809872,11809871,16458211,22649412,30022285,38594939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182235, s2 = 10986122, dlinesl.size( ) = 20 s1 = 7642463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 293356, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11182341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182341, s2 = 11167768, int(edited[s2]) = 0 s1 = 11182341, s2 = 11167768, d1 = 5, d2 = 0 Dl.O(d1) = 59796641 Dl.O(d2) = 29942205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182341, s2 = 11167768, dlinesl.size( ) = 14 s1 = 10430781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13480050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13480050, s2 = 13176988, int(edited[s2]) = 0 s1 = 13480050, s2 = 13176988, d1 = 85, d2 = 40 Dl.O(d1) = 16692768,16692769,11655372,7766990,4920726,4920727,7766994,7767037,7767036,11655445,16694425,16694388,16694387,16694227,16694228,16694240,16693902,16693903,16694073,22928394,30329252,31184139,38914296,30329398,30329219,22928344,22928343,22928175,22928174,30329057,22928292,16694024,11655167,7766875,4920670,2967144,1721220,978199,978200,1721225,2967158,4920690,7766918,11651525,16690469,17949445,12719326,12719327,16673130,16676299,16676300,17949430,12719321,12719322,17949437,22904279,16674852,16674851,22906535,22928478,22928745,24339752,17949454,17949451,24339745,22908543,16676331,16676330,22908537,16694895,11655788,11655787,16694890,22929266,22904366,22904365,22906445,16674700,16674699,22904726,22904727,16694130,16690456,16690457,11655194,11655079,7766892,7766894,11637672,11637671,16672908,22904189,16694168,16694167,22928530,30303367,30303368,22904802,16673537,16673536,22904797,24339757,24339759,20231096,14517480,9989425,9989424,14517474,20231090,23025999,30325929,22924854,22924853,30325923,30303652,22904713,22904712,30303646,30329847,30329848,38916229,48836876,48836978,38916352,30330024,30330026,30329944,22929238,22929237,16696907,11657651,11657650,16696903,16673616,11638405,11638404,16673653,22905000,30303998,30332515,30303779,22904834,22904835,16673603,16673604,22904923,16693819,11655003,7766752,7766750,11654998,16693806,22928116,30329000,30328364,22927492,16693283,16693282,22918214,255505032,38916066,48836707,48839536,268236296,40988328,48812309,38889998,38889997,48812306,48813381,48813382,39409477,30804541,23376547,23376546,30804537,39409470,41231323,32406568,24782041,24782042,32406569,41231325,51429175,58556186,58556185,58598928,58598927,58599098,48836790,38916139,38916140,48836796,60231286,58597979,47207763,47207761,58304551,58304552,47207874,37301283,28768297,28768299,37301285,47207877,58598104,268616228,37301279,28768296,21507928,21507927,28768293,37301270,47207852,58598077,71330913,84903935,98830297,98830272,84903881,84903880,71330926,58598089,47207861,37301276,28773348,28773349,29326306,29326305,37894627,37301944,28768714,21508151,21508150,28768707,37301687,28768551,21508070,21508072,28768559,255840882,47208175,58598388,71331112,255855906,255408888,21508061,21508060,28768535,37301655,37301410,28768372,21507982,21507979,28768386,37301437,255949772,38904758,37894694,37894692,47816695,58598230,71331019,74242686,84904118,71331338,255050534,47208494,47208493,58598712,58894574,47514841,37609994,37609993,47514838,58894572,59214726,255561840,71953370,60238657,60238655,59214999,47816356,47816007,47816008,58821140,47434663,37527095,37527097,47434671,58821152,59215119,59215150,47816484,47816482,48826851,48826853,58598681,49986711,49986710,48829163,48829164,39971062,31296752,23810760,23810759 Dl.O(d2) = 3433454,3784371,3428041,3428039,2041402,2041403,3447447,5563795,5528535,3474752,2061538,2061537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13480050, s2 = 13176988, dlinesl.size( ) = 2 s1 = 13480050, s2 = 13176988, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13480050, Dl.E( ) = 100, 4.48e-05 seconds used appending s1 = 11182643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182643, s2 = 11045976, int(edited[s2]) = 0 s1 = 11182643, s2 = 11045976, d1 = 8, d2 = 19 Dl.O(d1) = 256107216 Dl.O(d2) = 23066584,30477018,39069448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182643, s2 = 11045976, dlinesl.size( ) = 20 s1 = 11182649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182649, s2 = 10487181, int(edited[s2]) = 0 s1 = 11182649, s2 = 10487181, d1 = 7, d2 = 5 Dl.O(d1) = 268953329,22623267,16814562,11757927,11757929,7851838,4983776 Dl.O(d2) = 4983774,3010435,3010437,4983861,7852002,11760327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182649, s2 = 10487181, dlinesl.size( ) = 8 s1 = 10487186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14194958, s2 = 10353205, int(edited[s2]) = 0 s1 = 14194958, s2 = 10353205, d1 = 15, d2 = 13 Dl.O(d1) = 128100780,114212191,100179953,86216176,72617683,59879307,48487805,48487804,48487807,38574722,30004173,30004172,22904122,16895516,11823341,11823340,15485524,11253081,11253084,12036237,10532838,10532836,15265203,21089675,17164877,12068650,12068651,15286379,10551915,10537424,10537426,10566005,10566004,15301804,17559054,17559053,23903435,21246547,15280349,10546412,6955400,6955403,8115378,5199141,5199142,8115349,12068457,17164675,15274364,10540907,10540906,15274359,15260172,10528601,10528603,10533816,15266329,21235231,21246024,25551674,18939205,17849376,12640634,8582808,8582810,12640643,254813780,255519870,19336070,26010223,25546038,18933259,13497800,13497799,254727697,254977653,255331447,16446766,255484973,30004171,38574720,48487803,59879304 Dl.O(d2) = 260023009,114212190,100179952,100179951,100104093,86136436,72537103,59801875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14194958, s2 = 10353205, dlinesl.size( ) = 2 s1 = 14194958, s2 = 10353205, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14194958, Dl.E( ) = 16, 9.78e-06 seconds used appending s1 = 8506288, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11182933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11864664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14194994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14194994, s2 = 11505336, int(edited[s2]) = 0 s1 = 14194994, s2 = 11505336, d1 = 35, d2 = 67 Dl.O(d1) = 141711749 Dl.O(d2) = 201409007,194391462,186201086,186201085,194391460,194391463,262283112,176806563,186201088,263582036,186201097,176806571,166187187,166187185,166187177,154451998,141805875,141805876,154452001,166187181,176806563,186201088,263582036,186201097,176806571,166187187,166187185,166187177,166187176,166187178,166187179,154452007,154452006,166187189,176806576,262758410,186201099,176806573,176806574,186201100,194391469,194391459,194391458,194391467,186201096,176806571,166187187,166187185,176806560,186201084,194391458,194391467,186201096,176806571,166187187,166187185,166187177,154451998,141805875,141805876,154452002,166187183,176806567,166187187,166187185,176806560,262758402,262758404,262283110,166187174,154451997,261224216,141805875,141805876,154452002,166187182,176806566,186201093,194391465,201409008,207314855,265012567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14194994, s2 = 11505336, dlinesl.size( ) = 24 s1 = 11183343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11183343, s2 = 14147076, int(edited[s2]) = 0 s1 = 11183343, s2 = 14147076, d1 = 12, d2 = 19 Dl.O(d1) = 59999837,48608394,48608393,50124389,40104177,257658171,259513405 Dl.O(d2) = 155778488,143227937,129898745,129898744,274014119,265248701,266535697,237678846,266750905,274836176,238137165,266585073,266505388,232539883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11183343, s2 = 14147076, dlinesl.size( ) = 16 s1 = 16299763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11183891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11183891, s2 = 10998900, int(edited[s2]) = 0 s1 = 11183891, s2 = 10998900, d1 = 5, d2 = 2 Dl.O(d1) = 255597256 Dl.O(d2) = 12137257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11183891, s2 = 10998900, dlinesl.size( ) = 8 s1 = 11183983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11183983, s2 = 11419606, int(edited[s2]) = 0 s1 = 11183983, s2 = 11419606, d1 = 9, d2 = 6 Dl.O(d1) = 260640645 Dl.O(d2) = 166077230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11183983, s2 = 11419606, dlinesl.size( ) = 12 s1 = 11184015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184015, s2 = 11101760, int(edited[s2]) = 0 s1 = 11184015, s2 = 11101760, d1 = 14, d2 = 13 Dl.O(d1) = 256986843,22848542,256442803 Dl.O(d2) = 259098102,51343066,41158083,269133884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184015, s2 = 11101760, dlinesl.size( ) = 14 s1 = 11184051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10850809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11865084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13482092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6519802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13976381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13976381, s2 = 9625457, int(edited[s2]) = 0 s1 = 13976381, s2 = 9625457, d1 = 38, d2 = 37 Dl.O(d1) = 262879745,272951547,157496846,152316207,139587286,126212701,112352738,98370405,84461148,70904887,58192230,46826356,36948470 Dl.O(d2) = 234967136,266523167,236779574,274791474,239527566,240079327,240590545,241065013,241505584,241913574,242290402,242639345,242964363,243267782,243551606,243815259,244060267,244287950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13976381, s2 = 9625457, dlinesl.size( ) = 2 s1 = 13976381, s2 = 9625457, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13976381, Dl.E( ) = 42, 1.29e-05 seconds used appending s1 = 11184515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184515, s2 = 14074874, int(edited[s2]) = 0 s1 = 11184515, s2 = 14074874, d1 = 1, d2 = 14 Dl.O(d1) = 60234919 Dl.O(d2) = 123907591,109770385,95570042,95570043,109770387,98605166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184515, s2 = 14074874, dlinesl.size( ) = 8 s1 = 14195068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11184799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184799, s2 = 10719853, int(edited[s2]) = 0 s1 = 11184799, s2 = 10719853, d1 = 133, d2 = 175 Dl.O(d1) = 256998923,35091944,28098423,28098422 Dl.O(d2) = 57789348,46434136,46434135,57789345,70490093,84024764 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 15072067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11184849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184849, s2 = 11368508, int(edited[s2]) = 0 s1 = 11184849, s2 = 11368508, d1 = 31, d2 = 29 Dl.O(d1) = 60333438,60333439,72110638,85696786,85696785,257791020,52532380,42174618,33215587,25468557,25468558,30422830,23017694,23017693,30422826,39012166,30422842,23017701,16777473,16777470,23017696,30422833,39012171,33215783,25468831,25468833,33215786,42174742,257200718 Dl.O(d2) = 260872654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184849, s2 = 11368508, dlinesl.size( ) = 42 s1 = 11185033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11185033, s2 = 11309852, int(edited[s2]) = 0 s1 = 11185033, s2 = 11309852, d1 = 0, d2 = 5 Dl.O(d1) = 73107032 Dl.O(d2) = 100688744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11185033, s2 = 11309852, dlinesl.size( ) = 12 s1 = 11185037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11185037, s2 = 11215912, int(edited[s2]) = 0 s1 = 11185037, s2 = 11215912, d1 = 15, d2 = 24 Dl.O(d1) = 259437339 Dl.O(d2) = 70396628,57702545,257545538,20864810,28032645,36495382,36939652,257706790,256646773,40189743,31504734,26055376,26055377,33878388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11185037, s2 = 11215912, dlinesl.size( ) = 30 s1 = 13483116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11185141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14246450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14246450, s2 = 11185142, int(edited[s2]) = 0 s1 = 14246450, s2 = 11185142, d1 = 4, d2 = 10 Dl.O(d1) = 261777750,126563886,112699688,270347948,71206045,58484092,47105836 Dl.O(d2) = 10675018,9003935,5877863,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669682,5877517,3669577,3669579,5877522,9003232,13179899,13179901,18549688,25097402,32797821,41715893,52029173,63847779,269364078,90838398,90838397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14246450, s2 = 11185142, dlinesl.size( ) = 2 s1 = 14246450, s2 = 11185142, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14246450, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 11086697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11185489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11185489, s2 = 13279776, int(edited[s2]) = 0 s1 = 11185489, s2 = 13279776, d1 = 3, d2 = 31 Dl.O(d1) = 73229145 Dl.O(d2) = 100322967,86363175,72766245,257466216,30138926,255418514,40032655,254338782,23479497,23479496,28852342,254121112,29422346,22091699,21823282,21823284,15984489,11096806,7359398,7359397,11096798,15718709,10881842,10881846,15718722,20066261,21167549,21167550,21782323,21167535,21167534,25608048,20045113,20045114,21564087,15542286,10749028,7101646,7101645,10749025,15542279,21564076,28835319,22091411,255427224,37984679,255055000,26931835,22094900,22094902,22154997,22154998,29494000,37692689,37692688,41773603,39438449,33372926,29422934,22092237,15984846,11097010,7359505,4648918,4648917,7359503,11097006,15984840,22092230,29422927,30439986,28836794,25053988,25053987,32744680,32852183,25145260,25145259,255426032,28911526,28911525,26930189,26930192,20058263,20058261,20066171,20066170,24005011,20067126,20067127,26933151,20046924,14361150,12488072,12488069,15499932,20062230,14378022,9884090,9884091,7627159,7627161,8356463,8356465,11133578,11133582,10884306,10584616,6982377,4387146,4387149,6982358,10584571,15324853,14377807,14377812,15322071,20063696,20040638,14366240,14366238,15491398,10712637,10712635,15491389,15983890,22090835,24331625,17943087,16789885,11739700,7838117,7838116,11739698,16789880,23033171,30439986,28836794,25053988,18516658,18516657,25053984,26949378,35030051,36506843,28941013,25117231,18566407,13193674,8994309,8994304,10518820,10518823,15247589,21215814,254796102,29687309,255172050,38632230,33690907,31323689,23833200,22520939,22520935,29877647,30056984,254795678,254796004,22808334,22808333,26934920,24004875,24004876,31503554,40057917,254314956,39319824,255740176,32821381,32821380,255324142,28864322,28833642,21562768,15541331,12037492,8092661,8092662,255983023,39432500,35109279,27023163,20131363,14438473,9932051,6527457,4089819,4089821,6527463,9932060,14438488,254686570,16290835,17589928,16290810,11333920,11333921,15986593,22094568,254239938,14564882,20296393,20875254,20875253,255325506,44408744,35034145,26954089,20069743,20069741,26930273,35011931,254687692,29196505,23781955,23781954,22808334,16590875,16590876,22808335,21588481,21588482,21588661,15562986,15562988,21588664,25409625,25409626,33150136,39323336,30725485,23307690,22808371,22808370,23303933,23303932,30199255,22808407,254244046,17043760,23304458,30721989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11185489, s2 = 13279776, dlinesl.size( ) = 20 s1 = 11185573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15066673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15066673, s2 = 7038799, int(edited[s2]) = 0 s1 = 15066673, s2 = 7038799, d1 = 1, d2 = 1 Dl.O(d1) = 86861321,73248726,60501693,49098057,39167919,30570059,30570060,39167917,49098056,60501691,73248725,86861320,100841838,260663139,142140353,262769643,186414476,194569448,200837010,193747394,185480301,176007095,165313098,165313097,176007093,185480300,193747392,185480303,176007096,165313100,165313099,165313098,153519571,261706794,113608207,259979986,59321304,47929007,38014804,268939203,38014213,47928368,59320626,59321303,72055780,85642975,99592952,111703299,111703303,111703302,111703301,97781150,83922569,70396339,57702158,46352709,254966628,20864356,14962421,14962422 Dl.O(d2) = 86861321,73248726,60501693,49098057,39167919,30570059,30570060,39167917,49098056,60501691,73248725,86861320,100841838,260663139,142140353,262769643,186414476,194569448,200837010,193747394,185480301,176007095,165313098,165313097,176007093,185480300,193747392,185480303,176007096,165313100,165313099,165313098,153519571,261706794,113608207,259979986,59321304,47929007,38014804,268939203,38014213,47928368,59320626,59321303,72055780,85642975,99592952,111703299,111703303,111703302,111703301,97781150,83922569,70396339,57702158,46352709,254966628,20864356,14962421,14962422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15066673, s2 = 7038799, dlinesl.size( ) = 2 s1 = 15066673, s2 = 7038799, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15066673, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14550010, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14588533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11185847, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11185871, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13484202, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15574323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15574323, s2 = 14133478, int(edited[s2]) = 0 s1 = 15574323, s2 = 14133478, d1 = 55, d2 = 70 Dl.O(d1) = 12146614,8176477,5246089,3204380,1876392,1876393,1884036,1884034,254581077,8221737 Dl.O(d2) = 263975717,207904783,212684085,216590876,219829776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15574323, s2 = 14133478, dlinesl.size( ) = 2 s1 = 15574323, s2 = 14133478, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15574323, Dl.E( ) = 74, 2.19e-05 seconds used appending s1 = 11186065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186065, s2 = 11251932, int(edited[s2]) = 0 s1 = 11186065, s2 = 11251932, d1 = 11, d2 = 10 Dl.O(d1) = 257598166 Dl.O(d2) = 114981095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186065, s2 = 11251932, dlinesl.size( ) = 8 s1 = 11186109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186109, s2 = 11179254, int(edited[s2]) = 0 s1 = 11186109, s2 = 11179254, d1 = 10, d2 = 9 Dl.O(d1) = 60597324 Dl.O(d2) = 60597323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186109, s2 = 11179254, dlinesl.size( ) = 14 s1 = 11186165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186165, s2 = 11016044, int(edited[s2]) = 0 s1 = 11186165, s2 = 11016044, d1 = 4, d2 = 12 Dl.O(d1) = 60605231,49204478,256474321 Dl.O(d2) = 254563891,1023129,1023130,1793543,3074426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186165, s2 = 11016044, dlinesl.size( ) = 8 s1 = 13625095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14195140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11186259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186259, s2 = 11070608, int(edited[s2]) = 0 s1 = 11186259, s2 = 11070608, d1 = 0, d2 = 6 Dl.O(d1) = 73365339 Dl.O(d2) = 257179484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186259, s2 = 11070608, dlinesl.size( ) = 14 s1 = 11186265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186265, s2 = 11592976, int(edited[s2]) = 0 s1 = 11186265, s2 = 11592976, d1 = 13, d2 = 9 Dl.O(d1) = 261246285,142243381,262301385,263946457,207499228,265415719,274520396 Dl.O(d2) = 266604749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186265, s2 = 11592976, dlinesl.size( ) = 14 s1 = 11186315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186315, s2 = 11080006, int(edited[s2]) = 0 s1 = 11186315, s2 = 11080006, d1 = 10, d2 = 13 Dl.O(d1) = 257566572,44413094,47849858,37929740,29363005,29363006,36634458,28159784 Dl.O(d2) = 10391762,10391764,14994367,10325201,6794119,4259900,4259899,6794118,4261091,4261093,6760027,4236262,4236259,6760021,6760467,4236546,4236547,6760469,254707915,6782671,5380490,5380489,6809967,6799937,6799936,6800166,5940071,5940072,3715755,3715753,4264495,2549619,1468727,830868,468684,263580,145961,80256,43970,43967,80243,145935,263523,468594,830700,1468411,2540460,4249419,6779297,4257349,2545159,1466300,829659,829658,1463728,828329,828328,1463726,2540519,4249546,6779456,5588077,4295234,2567935,2567936,3713025,5938162,9079613,8133153,5210769,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178786,3178784,5210227,5217402,5925074,8125570,8653421,8653429,5955823,5955821,9102448,9102312,5955718,5955719,4280122,4280124,6822708,6831799,10369543,10300367,255000073,255786893,256431532,268450413,24254026,17876411,17876413,20952171,254835874,21941960,15853501,10987727,7273382,4586890,2759555,1599692,1599693,2759556,4586891,254756243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186315, s2 = 11080006, dlinesl.size( ) = 14 s1 = 11186385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11186661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186661, s2 = 14074446, int(edited[s2]) = 0 s1 = 11186661, s2 = 14074446, d1 = 16, d2 = 28 Dl.O(d1) = 63000801,61211015,61211014,73524102,60775873,52499665,42140953,257197769,64374050,63000799,51321582,256642508,269503652,64374076,259030283,76595896,63516655,63516654,76595894,259135762,61831725,50347823,40321527 Dl.O(d2) = 64365403,64365407,77533377,72937753,60198638,60198640,72937756,72937764,72937765,85981559,72386492,59651945,59651944,72386465,72386467,84502728,70938668,70569243,60652117,49251714,39325481,39325480,49251710,60652114,66877152,64398469,52524669,52524668,258079844,58221523,70938676,70942115,84505921,77533381,64365410,64365411,59651912,48264943,38353932,29781270,29781271,38353937,48264949,38353962,29781285,29781284,38353959,48264978,59651951,48761366,48761369,46511160,46511159,46511148,36643731,28168536,20988318,15075437,15075438,20988324,28168546,36643752,28796737,28796738,37334237,47244142,58637730,48801891,39325494,30727707,30727706,39325491,49251731,60199312,71374754,59260886,47864999,37946638,29381787,22051622,22051621,25434383,33177953,42135688,52492592,48264935,38353926,38353927,29781282,22415848,16250781,16250782,22415851,29781288,38353973,47244110,37334220,37334222,47244116,52521202,64395051,57867424,52521261,52521263,47244533,47244531,46511176,36643743,36643744,46511180,47244133,48802577,47244379,47244182,47244184,58637768,58637829,58637828,49251727,48802546,38880309,38880310,48802549,58637802,58637801,71374654,72938347,257572726,269318246,47244444,47244476,47244475,48264926,48264927,47244171,37334256,28796754,21531313,21531312,28796753,256876031,58637752,71374633,256992098,47244199,37334278,28796767,21531322,15517655,15517656,21531324,28796770,35224593,27130819,20225466,20225465,27130814,35224584,44605377,47244679,37334727,28797087,21531529,15517763,15517764,21531533,24852622,18356236,18356235,24852615,32494621,41342064,38881506,38881498,37334205,30294274,22895743,255121330,11632069,16665720,21859078,15786814,15786813,21859072,28797008,37334628,37334609,29168384,29168383,37728518,47244763,47244566,37334590,28797053,21531511,15517751,10732208,7090987,4464755,2682349,2682351,4464763,7091000,10732232,15517788,21531581,28797179,30293814,22895343,16665375,16665376,22894651,22894652,30293078,36805240,29775029,29775030,30063751,30063750,37334481,30294811,22896279,22896280,21531743,21531742,28797425,30293184,22894777,16664964,16664966,22894784,22894706,16664886,16664885,22894701,30293130,37334842,28797193,28797192,37334841,35258502,35258501,44605402,35224607,27130829,20225474,15517757,15517756,21531515,21531587,21531586,16666922,11632921,11632922,16666923,22896299,22896298,30294837,38880654,37334691,254801618,38881474,38305698,30294856,22896312,16666198,11632399,11632396,16666191,255337683,14513500,20225511,254549830,20225541,14513516,9986780,6563861,254318079,254153777,458540,458539,809023,1421981,2459765,267872345,9986761,9988269,9988268,14515722,20225503,20225502,27130873,35224666,35224715,35224716,37335032,37335031,43067713,35224546,27130787,27130788,268340805,14513501,14513502,20225518,254631092,28797372,28797371,37335033,38880658,44605426,255121460,78906568,81264362,95323979,81264356,67796181,55454076,44605415,35224620,27130844,27130846,35224622,44605419,50436524,61927106,67796212,55454128,55454129,67796203,55454114,44605475,44605474,55454112,255504248,38881338,37335042,28797380,21531711,15517873,15517872,21531709,28797376,37335038,35224633,27130853,27130854,35224634,35224618,27130843,27130842,35224615,35224658,35224657,44605443,53546748,43067719,34009888,34009887,255504452,38881358,38881359,48803391,255948064,256447926,48803073,43067754,256175839,26168074,30256485,22861182,22861181,30256488,38839975,48759397,48759398,43067749,34009915,34009914,43067745,43345932,53870865,48925903,48925904,43067639,43067640,48925885,53546716,43067685,34009856,34009855,43067682,38840066,30256551,22861216,22861217,30256555,38839969,38839968,38839999,38840000,39001823,30412362,30412361,38840019,48759483,44643073,35258498,27159345,20247489,20247488,27159341,35258495,44643067,38840103,30256580,30256581,38840106,48759424,48759346,47807229,38840120,30256590,30256589,38840118,48759582,53546688,55493160,51906984,43067666,43067665,53546692,65571531,65571521,65571520,65571568,65571562,60120822,60120823,48759578,38840115,30256586,30256587,37998634,35258511,35258510,44643100,35258515,27159352,27159351,35258513,44643103,256697497,34089001,43172325,47014349,47014348,58385579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186661, s2 = 14074446, dlinesl.size( ) = 18 s1 = 11186693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186693, s2 = 11212048, int(edited[s2]) = 0 s1 = 11186693, s2 = 11212048, d1 = 12, d2 = 3 Dl.O(d1) = 255903804,39378961,30777396,30777395,39378962,39110585,30513466,23097868,16842085,11778099,11778103,12868360,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713626,9713629,13837850,9713654,9713653,14118676,9713945,9713948,6680029,254701079,14780470,20609292,27675228,35998648,28577612,28577611,37081803,37081808,35037776,26957770,26957771,35037778,44412350,43870996,257324911,44640692,55490664,44749642,35323478,256364524,29211410,21897408,15818779,15818780,21897412,29211553,29211588,32315497,24701650,18231501,12931661,12931660,18231492,17097288,17097287,23366431,18231525,12931679,12931680,15818617,10962512,10962513,7256446,4576541,4576542,268626782 Dl.O(d2) = 37773144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186693, s2 = 11212048, dlinesl.size( ) = 14 s1 = 13485258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13485258, s2 = 11657165, int(edited[s2]) = 0 s1 = 13485258, s2 = 11657165, d1 = 1, d2 = 1 Dl.O(d1) = 40410823,37834156,29268019,21945758,21945757,23124999,29268013,21945752,21945751,26387045,29268017,37834155,254788072,254360846,11031056,7305859,7305862,7188289,4528730,2722336,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,22925154,254787914,13012121,8859147,8859148,13012122,15867414,14095629,9694772,9694771,14095627,12028880,8086912,5181383,5181380,8086901,12028862,12031230,8088358,8088355,9690477,9690476,14087356,14087352,9689675,9689674,14087345,17122157,17122156,19654700,26389057,34265879,38751826,30168664,23390587,23390588,27129882,35223529,28314131,28314132,36810705,46694021,47996898,38084773,29520195,29520196,33374247,39422885,39422884,38084775,29520198,22177677,16051983,16051981,22177672,29520189,38084764,47996886,47996890,47996891,53889063,43365014,43365015,38084770,38084769,47996893,59385889,72117501,85702999,72117500,59385886,59385885,72117498,85702998,85703004,87079817,101075826,93451056,93451057,99651500,257571978,85702996,85702997,98251012,269828146,70784447,70784446,70784449,70784448,73462733,70784426,70784425,73462751,73462750,84343448,84343468,70784445,58066855,46694282,36810944,36810945,30783056,30783057,39385054,49312749,60714756,73462740,70784422,58066840,58066841,60714746,73462731,256832852,60513995,73260033,73462723,60714742,60714741,73260037,256549224,60513997,49111218,46663223,36777906,36777907,46663226,49111244,49111209,39181732,39181733,254873594,60513981,60514024,60514025,60514027,60514003,60514004,58063299,46690428,46690424,36806564,36806563,46690421,58063295,60513989,49111212,46690431,36806570,36806569,46690430,255589752,49111202,46607845,255545758,21029929,21029930,28226132,36719663,46607853,57984610,46607841,36719651,28226126,21029927,21029928,28226128,36719655,36719664,46607855,57984619,57984605,57984604,62028844,257628398,57984615,57984616,62028845,257628394,74825494,74825495,84253462,84253461,74012975,269863458,257810990,50537280,62028848,74825491,74825493,84253454,70702018,57984611,57984612,70702020,84253456,74012961,74012962,74825487,74825488,72000769,62028841,50537274,50537275,62028843,70702015,70702016,84253449,84253458,70702022,57984613,57984614,70702024,84253460,270834371,85587375,258734541,72000770,72000750,70784433,70784434,59264670,47869145,47869144,59264668,270316095,72000739,270316093,269334371,256378667,22056530,15952814,11071099,11071100,15952815,22056532,29386566,37951161,47869146,59264671,258110955,47869121,37951148,29386558,29386557,37951146,47869116,258110951,47869123,37951149,37951150,37951151,37951152,47869128,59264647,59264632,59264633,72000737,72000738,71386125,58650947,47259106,37349646,37349647,47259109,58650953,71386133,72000759,61587637,61587636,72000746,59264656,59264655,58650951,47869138,47869137,59264662,72000761,85587374,74364057,72000743,72000744,85587368,87966170,87966171,98885679,84960756,84960755,74364064,61587635,50107718,40087205,31407018,31407019,40087208,50107722,61587640,74364069,87966172,84960757,84960758,258243448,74165170,74364063,269999798,61384565,49904023,39883029,39883030,49904024,49904034,39883034,39883035,39883028,31203086,23715295,23715293,31203084,23715299,17391419,17391418,23715296,31203087,39883031,49904027,61384569,74165130,61384523,61384522,74165128,87769723,87769724,87769722,74165097,61384542,49903998,39882987,39882986,49903996,61384538,74165102,87769728,87769727,260110623,87769726,74165098,74165099,87769720,87769764,101742652,101742680,101742681,115788325,115788319,115788314,101742631,87769704,74165085,74165084,87769701,101742628,115788310,115788311,115788312,101742636,87769708,74165087,74165086,259495411,86101636,86101637,100067169,114098136,101742640,100067160,86101630,72502756,59768455,48385633,48385634,59768458,270328675,100067171,114098111,114098110,127983046,261740585,141346142,127983042,127983043,141346140,127983055,114098124,114098101,114098102,127983039,127983045,127983044,114098115,100067153,86101625,259397549,86101620,100067149,100067150,86101623,86101619,72502747,59768463,48385638,48385637,59768461,72502752,72502762,59768459,59768415,59768416,72502730,72502731,72502732,59768464,48385641,38482995,29922885,22563471,16383870,16383869,255919205,38482985,48385623,59768446,259371930,38482972,48385603,59768419,48537731,38622866,38622864,48537728,59930860,66856144,66856143,54597593,54597594,49029870,39100826,30504659,30504658,39100824,49029867,43853404,43853403,49029893,49029875,39100828,39100827,49029872,43853407,43853400,39100845,30504673,24894431,24894433,32542736,41399775,49029899,39100853,39100852,30504678,23090277,16835995,16835996,23090279,30504682,39100855,49029901,51639607,53093180,53093178,53093179,42643218,33616186,33616187,39100854,49029878,60433618,60433632,49029886,49029887,60433633,64250504,64250505,73180546,73180541,60433622,258193893,73180553,73180552,64250494,52395031,42051090,33102230,33102229,42051089,52395029,64250493,256298586,42051093,256484684,25367716,33102232,42051095,42051101,44369255,34990887,26909837,20026031,20026030,26909836,34990885,44369251,255809668,24540863,18106999,18106998,24540861,32118531,40892625,40892627,44369253,42051100,42051099,44369245,34990881,34990882,257303157,44369252,55220453,269869708,67564100,75599953,62657166,51030553,40892621,40892620,40892622,34990883,256737447,55220447,49956880,49956879,61434551,71932640,63225547,51512339,41295616,41295617,49956896,39940103,31265329,31265330,39940098,31265326,23780368,23780369,31265328,39940101,49956893,61434562,50239323,40219232,31533376,31533375,39940092,49956883,40219262,31533420,31533421,40219237,40219240,40219467,31533597,24031429,17680706,17680707,17910353,255276392,24292183,24031228,24031227,31533380,35354886,35354885,38263703,31533598,31533414,24031435,24031436,24292182,256030655,17680535,12503779,8470222,8470223,12503781,17680532,17680533,19075036,19075037,24894477,18392883,18392884,24894479,32542771,32403017,24779102,18298561,12988637,8842263,5762570,5762571,8842265,12988644,18298572,18392859,13064208,13064209,18392876,24779106,24779105,32403019,24894482,18392886,13064217,8902160,8902161,13064219,18392890,24894441,18392862,13064201,13064200,13151450,8963881,8963882,254902935,5857700,5857699,8973080,13009680,8857223,5772900,5772901,8857225,13009676,13009677,8857238,5772909,5772908,8857232,8857231,13009694,18327307,18327306,268137935,255241689,18192592,18298578,18298577,13164397,8973094,8973095,13164398,18528380,24779116,18298573,18298575,24779121,32248441,32248442,41041181,51197171,62846517,59456115,256754562,256102265,18528368,13164384,13164382,18528365,25070578,26266271,26266272,34132822,32454301,24817864,24817865,25070568,25070569,32767330,256470848,31533533,25070572,25070571,32767333,41683483,41227215,32403037,24779132,24779133,32403038,41227216,41041158,41041159,51197151,62846505,62846498,258243212,257051266,70776100,70776101,62846496,51424309,51424310,58328559,71043937,74145265,257637477,49883311,61364708,61718417,50239482,40219393,31533529,31533528,40219391,39860121,31177351,23688260,17366592,12235220,8261617,8261618,12235222,17366595,23688266,31177359,39860127,49883320,61364715,71152023,58430621,58430622,71152024,74499838,61718401,50239460,46807460,36929107,36929108,31177348,31177347,39860111,49883300,61364698,74145257,61900497,61900496,70889103,58174861,58174862,70889105,84446313,98355933,257048448,87749619,87749616,87749617,98651792,84721646,84721645,98651790,102098588,102098587,115787928,115787929,129685269,126199107,112338627,98355931,87769259,87769260,84446311,84446310,98355929,112338624,115787925,101742193,101742194,270899395,74164560,74164561,87769251,101742198,87769262,74164574,61383954,49903422,49903423,61383943,61383944,70889107,70889106,60174784,60174783,72911652,86508084,270153862,72911655,60174786,48780292,38860005,30275368,22878100,22878101,30275370,38860009,48780299,60174797,60174776,60174777,72911644,86508077,72911657,72911658,86508087,86508079,86508080,100466000,259806048,259179908,72911663,72911662,86508090,84508264,70944666,258037753,58227462,70944679,60174791,58227465,58227464,58227474,50359150,50359151,58227442,70944667,70944680,84508276,86508089,258551168,70944668,58227444,268915259,28484179,36981082,256849587,28484188,28484189,36981095,46859660,58227467,58227471,257428059,36981088,28484185,28484184,28484181,21267739,21267740,28484182,21267745,21267746,28484194,36981099,46859666,58227475,58227453,46859654,36981090,36981091,46859655,58227455,58227468,52705425,42318208,33337779,25578443,18970062,13534815,13534814,255673063,33337774,42318200,52705424,64606002,70944675,64605992,52705418,52705417,64605990,52705431,52705430,64606006,61843088,61843089,58227478,46859668,46859667,58227477,58227451,46859653,46859652,258037749,52566634,52566635,64441865,58227480,52705413,42318194 Dl.O(d2) = 40410823,37834156,29268019,21945758,21945757,23124999,29268013,21945752,21945751,26387045,29268017,37834155,254788072,254360846,11031056,7305859,7305862,7188289,4528730,2722336,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,22925154,254787914,13012121,8859147,8859148,13012122,15867414,14095629,9694772,9694771,14095627,12028880,8086912,5181383,5181380,8086901,12028862,12031230,8088358,8088355,9690477,9690476,14087356,14087352,9689675,9689674,14087345,17122157,17122156,19654700,26389057,34265879,38751826,30168664,23390587,23390588,27129882,35223529,28314131,28314132,36810705,46694021,47996898,38084773,29520195,29520196,33374247,39422885,39422884,38084775,29520198,22177677,16051983,16051981,22177672,29520189,38084764,47996886,47996890,47996891,53889063,43365014,43365015,38084770,38084769,47996893,59385889,72117501,85702999,72117500,59385886,59385885,72117498,85702998,85703004,87079817,101075826,93451056,93451057,99651500,257571978,85702996,85702997,98251012,269828146,70784447,70784446,70784449,70784448,73462733,70784426,70784425,73462751,73462750,84343448,84343468,70784445,58066855,46694282,36810944,36810945,30783056,30783057,39385054,49312749,60714756,73462740,70784422,58066840,58066841,60714746,73462731,256832852,60513995,73260033,73462723,60714742,60714741,73260037,256549224,60513997,49111218,46663223,36777906,36777907,46663226,49111244,49111209,39181732,39181733,254873594,60513981,60514024,60514025,60514027,60514003,60514004,58063299,46690428,46690424,36806564,36806563,46690421,58063295,60513989,49111212,46690431,36806570,36806569,46690430,255589752,49111202,46607845,255545758,21029929,21029930,28226132,36719663,46607853,57984610,46607841,36719651,28226126,21029927,21029928,28226128,36719655,36719664,46607855,57984619,57984605,57984604,62028844,257628398,57984615,57984616,62028845,257628394,74825494,74825495,84253462,84253461,74012975,269863458,257810990,50537280,62028848,74825491,74825493,84253454,70702018,57984611,57984612,70702020,84253456,74012961,74012962,74825487,74825488,72000769,62028841,50537274,50537275,62028843,70702015,70702016,84253449,84253458,70702022,57984613,57984614,70702024,84253460,270834371,85587375,258734541,72000770,72000750,70784433,70784434,59264670,47869145,47869144,59264668,270316095,72000739,270316093,269334371,256378667,22056530,15952814,11071099,11071100,15952815,22056532,29386566,37951161,47869146,59264671,258110955,47869121,37951148,29386558,29386557,37951146,47869116,258110951,47869123,37951149,37951150,37951151,37951152,47869128,59264647,59264632,59264633,72000737,72000738,71386125,58650947,47259106,37349646,37349647,47259109,58650953,71386133,72000759,61587637,61587636,72000746,59264656,59264655,58650951,47869138,47869137,59264662,72000761,85587374,74364057,72000743,72000744,85587368,87966170,87966171,98885679,84960756,84960755,74364064,61587635,50107718,40087205,31407018,31407019,40087208,50107722,61587640,74364069,87966172,84960757,84960758,258243448,74165170,74364063,269999798,61384565,49904023,39883029,39883030,49904024,49904034,39883034,39883035,39883028,31203086,23715295,23715293,31203084,23715299,17391419,17391418,23715296,31203087,39883031,49904027,61384569,74165130,61384523,61384522,74165128,87769723,87769724,87769722,74165097,61384542,49903998,39882987,39882986,49903996,61384538,74165102,87769728,87769727,260110623,87769726,74165098,74165099,87769720,87769764,101742652,101742680,101742681,115788325,115788319,115788314,101742631,87769704,74165085,74165084,87769701,101742628,115788310,115788311,115788312,101742636,87769708,74165087,74165086,259495411,86101636,86101637,100067169,114098136,101742640,100067160,86101630,72502756,59768455,48385633,48385634,59768458,270328675,100067171,114098111,114098110,127983046,261740585,141346142,127983042,127983043,141346140,127983055,114098124,114098101,114098102,127983039,127983045,127983044,114098115,100067153,86101625,259397549,86101620,100067149,100067150,86101623,86101619,72502747,59768463,48385638,48385637,59768461,72502752,72502762,59768459,59768415,59768416,72502730,72502731,72502732,59768464,48385641,38482995,29922885,22563471,16383870,16383869,255919205,38482985,48385623,59768446,259371930,38482972,48385603,59768419,48537731,38622866,38622864,48537728,59930860,66856144,66856143,54597593,54597594,49029870,39100826,30504659,30504658,39100824,49029867,43853404,43853403,49029893,49029875,39100828,39100827,49029872,43853407,43853400,39100845,30504673,24894431,24894433,32542736,41399775,49029899,39100853,39100852,30504678,23090277,16835995,16835996,23090279,30504682,39100855,49029901,51639607,53093180,53093178,53093179,42643218,33616186,33616187,39100854,49029878,60433618,60433632,49029886,49029887,60433633,64250504,64250505,73180546,73180541,60433622,258193893,73180553,73180552,64250494,52395031,42051090,33102230,33102229,42051089,52395029,64250493,256298586,42051093,256484684,25367716,33102232,42051095,42051101,44369255,34990887,26909837,20026031,20026030,26909836,34990885,44369251,255809668,24540863,18106999,18106998,24540861,32118531,40892625,40892627,44369253,42051100,42051099,44369245,34990881,34990882,257303157,44369252,55220453,269869708,67564100,75599953,62657166,51030553,40892621,40892620,40892622,34990883,256737447,55220447,49956880,49956879,61434551,71932640,63225547,51512339,41295616,41295617,49956896,39940103,31265329,31265330,39940098,31265326,23780368,23780369,31265328,39940101,49956893,61434562,50239323,40219232,31533376,31533375,39940092,49956883,40219262,31533420,31533421,40219237,40219240,40219467,31533597,24031429,17680706,17680707,17910353,255276392,24292183,24031228,24031227,31533380,35354886,35354885,38263703,31533598,31533414,24031435,24031436,24292182,256030655,17680535,12503779,8470222,8470223,12503781,17680532,17680533,19075036,19075037,24894477,18392883,18392884,24894479,32542771,32403017,24779102,18298561,12988637,8842263,5762570,5762571,8842265,12988644,18298572,18392859,13064208,13064209,18392876,24779106,24779105,32403019,24894482,18392886,13064217,8902160,8902161,13064219,18392890,24894441,18392862,13064201,13064200,13151450,8963881,8963882,254902935,5857700,5857699,8973080,13009680,8857223,5772900,5772901,8857225,13009676,13009677,8857238,5772909,5772908,8857232,8857231,13009694,18327307,18327306,268137935,255241689,18192592,18298578,18298577,13164397,8973094,8973095,13164398,18528380,24779116,18298573,18298575,24779121,32248441,32248442,41041181,51197171,62846517,59456115,256754562,256102265,18528368,13164384,13164382,18528365,25070578,26266271,26266272,34132822,32454301,24817864,24817865,25070568,25070569,32767330,256470848,31533533,25070572,25070571,32767333,41683483,41227215,32403037,24779132,24779133,32403038,41227216,41041158,41041159,51197151,62846505,62846498,258243212,257051266,70776100,70776101,62846496,51424309,51424310,58328559,71043937,74145265,257637477,49883311,61364708,61718417,50239482,40219393,31533529,31533528,40219391,39860121,31177351,23688260,17366592,12235220,8261617,8261618,12235222,17366595,23688266,31177359,39860127,49883320,61364715,71152023,58430621,58430622,71152024,74499838,61718401,50239460,46807460,36929107,36929108,31177348,31177347,39860111,49883300,61364698,74145257,61900497,61900496,70889103,58174861,58174862,70889105,84446313,98355933,257048448,87749619,87749616,87749617,98651792,84721646,84721645,98651790,102098588,102098587,115787928,115787929,129685269,126199107,112338627,98355931,87769259,87769260,84446311,84446310,98355929,112338624,115787925,101742193,101742194,270899395,74164560,74164561,87769251,101742198,87769262,74164574,61383954,49903422,49903423,61383943,61383944,70889107,70889106,60174784,60174783,72911652,86508084,270153862,72911655,60174786,48780292,38860005,30275368,22878100,22878101,30275370,38860009,48780299,60174797,60174776,60174777,72911644,86508077,72911657,72911658,86508087,86508079,86508080,100466000,259806048,259179908,72911663,72911662,86508090,84508264,70944666,258037753,58227462,70944679,60174791,58227465,58227464,58227474,50359150,50359151,58227442,70944667,70944680,84508276,86508089,258551168,70944668,58227444,268915259,28484179,36981082,256849587,28484188,28484189,36981095,46859660,58227467,58227471,257428059,36981088,28484185,28484184,28484181,21267739,21267740,28484182,21267745,21267746,28484194,36981099,46859666,58227475,58227453,46859654,36981090,36981091,46859655,58227455,58227468,52705425,42318208,33337779,25578443,18970062,13534815,13534814,255673063,33337774,42318200,52705424,64606002,70944675,64605992,52705418,52705417,64605990,52705431,52705430,64606006,61843088,61843089,58227478,46859668,46859667,58227477,58227451,46859653,46859652,258037749,52566634,52566635,64441865,58227480,52705413,42318194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13485258, s2 = 11657165, dlinesl.size( ) = 2 s1 = 13485258, s2 = 11657165, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13485258, Dl.E( ) = 2, 7.87e-06 seconds used appending s1 = 11186773, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11186893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186893, s2 = 14972414, int(edited[s2]) = 0 s1 = 11186893, s2 = 14972414, d1 = 11, d2 = 8 Dl.O(d1) = 270879569 Dl.O(d2) = 262152226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186893, s2 = 14972414, dlinesl.size( ) = 14 s1 = 14023807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8248975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11187257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11187257, s2 = 10990436, int(edited[s2]) = 0 s1 = 11187257, s2 = 10990436, d1 = 33, d2 = 39 Dl.O(d1) = 73556373,270387458 Dl.O(d2) = 256021330,15309491,10572944,8379275,5407546,5407547,8379277,12398916,17570843,15773504,10925731,7410668,5405181,5405182,254853533,10981941,10981940,12381625,12381624,17552058,20145935,20145934,21638998,255671240,254928480,11747818,11747819,11747893,12256538,11933806,8369182,8369183,8302726,5356883,5356881,8302719,12293048,17439395,12409747,12409745,11825123,11825125,7903045,5023722,5023720,7903035,5399579,3320015,3320013,5399572,8366075,12380731,254496174,7017225,10630802,15383270,21361750,28593919,30651267,23229858,16957118,11869363,254562051,1779798,3054522,3085857,5071756,4516567,3054049,1779424,1779425,254253703,1793772,3074761,3089281,1804389,1030291,580578,580579,571729,320255,320254,571722,572427,572428,1015518,579560,579559,1028539,1799718,1799719,1802430,1028930,1028929,1029638,1571105,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1023949,576980,576981,1023952,1015068,1015067,1780165,1801714,1028403,1028402,1801710,3085958,3056742,1781598,1015981,254175035,1029215,1029216,1802876,1781538,1015940,572670,320742,177457,97763,54122,54121,97757,177451,320730,572647,572568,572569,324667,179323,179322,324664,580550,1020581,1021012,1789835,1020630,575095,504616,504618,282946,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,1014866,1779208,1779207,3052829,1778544,1014000,1014001,1778546,3052833,5042072,5076953,3078959,3078960,3059039,1783192,1783191,3059037,5049128,5086975,3086244,1801946,1028580,579579,324167,324165,579572,1028564,1572791,1572793,1802766,1795254,1024271,1024273,1559681,886753,886752,1559678,2692217,4480766,7116588,7934709,7932380,5043085,5043084,7931065,7931066,11866544,7972523,7972524,267987679,5057099,5057100,5074052,7937190,5070028,3073660,1792944,1792943,3073658,3086662,1802260,1028806,1028805,1802255,3086654,5087475,5056564,3063463,3063461,5056557,5055556,3062778,1785353,1018066,1018067,1785355,3062784,5055567,7932859,5043469,5043470,254816641,16956574,23229473,256452595,256472307,23276256,17017808,11933829,11933830,11875841,7949286,5055486,3062807,3062808,4940093,2981044,2981043,4940087,5048838,5048863,7930477,11691751,7797820,7797822,7797796,4944937,2984492,2984491,4944930,7797783,11691720,16716301,16716302,16954017,16718224,11676372,7785048,4935159,4935158,7785081,11676415,16718255,22954791,255125805,7797755,4944911,4944910,7780864,7780866,4935252,4933824,4933821,2977165,2977164,2983606,2975623,1726965,1726964,2975619,4932499,4933545,4933547,7783305,7784966,4936766,2978782,1729031,1729033,2978789,2978757,2978758,4936704,4934201,4934200,4943383,7784519,4934772,4933667,4931902,2975148,1726651,981635,552734,552733,981634,1726649,1727658,2976738,4934012,7783778,7794103,7794102,10693744,15465336,11672847,254553128,12311764,12311763,16713731,11688517,7794937,4942613,4942612,7794936,7785874,4935807,2978323,2978322,4936070,7786212,7794115,7794116,11687592,16730115,16503176,11499260,7648807,7648804,7793991,11687445,11684695,7791803,4940311,2981174,2981175,4940315,7791815,11684713,11688151,11928456,11901494,7959579,7959582,11901498,11680960,11680965,7983476,7983474,7980038,7980035,8296147,5351971,5351969,8296137,7783941,7783942,11675033,8037897,8037900,11986979,11688979,11680360,7788626,7788625,10878730,7192353,4531089,4531090,5047128,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,5391453,7960152,5063375,5063376,7960149,5063393,3067867,3067866,5063388,7960172,5870448,5870450,8991563,11687620,16503152,11499240,7648791,4839393,4839395,7648801,7945478,11884659,11926380,11926378,11952979,11953031,8001605,5093949,3091691,3091688,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841224,3069546,3069542,3069578,5065267,7962413,11904823,254177234,16969371,11881435,11881434,11884686,11884687,16972230,23241050,30659957,23867479,17523360,12357918,12357920,16969751,22575970,17525402,12359532,8350857,8350854,11915782,254570118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11187257, s2 = 10990436, dlinesl.size( ) = 34 s1 = 11187285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11187285, s2 = 14850140, int(edited[s2]) = 0 s1 = 11187285, s2 = 14850140, d1 = 10, d2 = 9 Dl.O(d1) = 256549290 Dl.O(d2) = 39489123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11187285, s2 = 14850140, dlinesl.size( ) = 14 s1 = 11187413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11187603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11187603, s2 = 11102756, int(edited[s2]) = 0 s1 = 11187603, s2 = 11102756, d1 = 2, d2 = 21 Dl.O(d1) = 73974486 Dl.O(d2) = 258857408,257247420,256170808,254948040,6080508,3804673,2284735,1325250,756343,429812,242623,134129,73375,39718,39722,73390,133984,242290,254302423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11187603, s2 = 11102756, dlinesl.size( ) = 6 s1 = 11102755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102755, s2 = 11187604, int(edited[s2]) = 0 s1 = 11102755, s2 = 11187604, d1 = 20, d2 = 14 Dl.O(d1) = 254302422,3917903,2345234,2312829,1341719,1341715,2285196,3814807,6097220,6170145,3908482,2340368,1356236,1356237,2340370,254948041,256170809,257247421,258857409 Dl.O(d2) = 49718866,39700175,31023102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102755, s2 = 11187604, dlinesl.size( ) = 6 s1 = 15509447, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11187867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11187867, s2 = 11315192, int(edited[s2]) = 0 s1 = 11187867, s2 = 11315192, d1 = 4, d2 = 19 Dl.O(d1) = 61251903,254707320,17281496,17281497,18696627,25268457,32992539,35414186,27289628,21628844,15597861,10790253,254705298,254705296,256340787 Dl.O(d2) = 257496300,13580447,11588106,9346157,9346160,9277619,6077084,3831718,3831717,3978439,3978438,6341295,9329327,9329329,6124272,6124270,9350032,13654290,19073419,13616790,13616789,18581542,18581543,13590030,11474537,7632123,4828567,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726033,24237659,24237658,27213264,27213265,256670405,33384519,25618610,19004457,13563205,13563207,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085274,6085242,6085241,9289267,13567442,17644237,17644238,14397071,9902892,6508919,6508920,9902897,14397080,17440569,22197371,24243075,24243076,19155578,13678394,13678393,17529957,16264818,11308378,7507898,7507899,11308383,16264825,17867765,17867764,17865962,12651905,9289436,9289425,9289426,13567719,13567764,17870944,12655275,8592062,5582769,5582770,8592067,12655282,12657536,12657537,11308848,11308846,8591688,8591689,12654547,17869828,24246473,31758306,31763012,31763013,31762736,31762735,256650788,31237117,31755570,24243935,258292379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11187867, s2 = 11315192, dlinesl.size( ) = 20 s1 = 11187875, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13486940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11188187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11188359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11188359, s2 = 11082528, int(edited[s2]) = 0 s1 = 11188359, s2 = 11082528, d1 = 7, d2 = 8 Dl.O(d1) = 259493821 Dl.O(d2) = 268925154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11188359, s2 = 11082528, dlinesl.size( ) = 8 s1 = 11188455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11189097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189097, s2 = 13787769, int(edited[s2]) = 0 s1 = 11189097, s2 = 13787769, d1 = 33, d2 = 37 Dl.O(d1) = 258881003,101851499,115897770 Dl.O(d2) = 262634678,143130473,143130472,155684376,167318793,177815408,187089494,187089498,177815411,262634678,143130473,143130472,155684376,167318794,273384995,177815408,187089495,195165052,202070424,207875515,212659477,216569886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189097, s2 = 13787769, dlinesl.size( ) = 2 s1 = 11189097, s2 = 13787769, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11189097, Dl.E( ) = 42, 2e-05 seconds used appending s1 = 14602504, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8111601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8111601, s2 = 8416784, int(edited[s2]) = 0 s1 = 8111601, s2 = 8416784, d1 = 63, d2 = 43 Dl.O(d1) = 26925122,255323327,9863718,9863719,14355491,20039725,14355206,9863538,9863537,14355201,20039720,26925027,256738811,44384519,35006455,35006454,44384516,55234665,55234223,55234224,67576672,55739789,44831888,35406455,35406454,44831885,44385208,44385207,257304313,257304315,268825387,9863255,6479053,6479054,9863257,14354752,20039048,26924211,35006059,44384132,268547141,256213443,35006981,26925091,20039775,20039776,20040071,14355494,14355495,255738977,20039901,14355360,14355361,20039904,14355490,14355491,20039725,14355206,9863538,9863536 Dl.O(d2) = 20039687,20039688,26924996,256213523,255323271,254685639,2430079,1405672,799955,453417,453419,799963,1405689,2430102,4060230,6479047,255738805,14355340,14355341,255738943,35007068,256738805,26924995,20039687,20039688,26924996,256213523,14355260,254685639,2430079,1405672,799955,453417,453418,799957,1405680,2430091,4060210,6479270,9863628,14355364,20039910,20039727,14355207,9863538,9863537,14355201,20039720,26925027,256738811,44384519,35006455,35006454,44384516,55234665,55234223,55234224,67576672,55739789,44831888,44831887,55234771,44384697,35006681,26924794,256213467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8111601, s2 = 8416784, dlinesl.size( ) = 18 s1 = 11189185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189185, s2 = 11032998, int(edited[s2]) = 0 s1 = 11189185, s2 = 11032998, d1 = 5, d2 = 10 Dl.O(d1) = 61518254,58152690 Dl.O(d2) = 268608454,61485004,255020830,17486726,254722776,18689582,254911417,267809481,1289528,1289529,2223059,254642275,13296323,18689588,268138575,8994629,13194194,18567175,22825978,25117971,21426678,15434359,10670129,7047209,7047210,10670132,15434366,19813276,19813277,20080417,14397413,9903135,6509062,6509063,9903139,14397433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189185, s2 = 11032998, dlinesl.size( ) = 14 s1 = 11189365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10644479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10644479, s2 = 11189366, int(edited[s2]) = 0 s1 = 10644479, s2 = 11189366, d1 = 1, d2 = 1 Dl.O(d1) = 181393173,190195806,181393174,171371111,160151308,147902337,134783946,260907417,106734827,92429044,78392272,65109369,53123675,42672772,33643568,25840285,19186712,13702624,9385097,6148454,3847323,3847324,6148455,6599268,4134368,4134369,6599270,10041965,10042684,10042685,14594946,20336297,27272025,21714403,20334858,20334859,27270575,28942364,28942361,28942362,37484164,37849482,29281591,29281590,29397335,37961755,47879580,39909816,38201003,268220214,22281979,29634227,38201004,41377701,41377702,51602896,63326465,76357880,90185998,104338347,104338346,118522269,272346773,153957438,141285318,127923803,114042481,100015181,86051898,72453312,59717127,48331783,38425878,29862080,22499347,16325122,11357490,7545827,4772443,2876709,2876708,3138192,5154356,8051498,11998684,11328512,7525034,4758568,4758567,7525028,8051985 Dl.O(d2) = 181393173,190195806,181393174,171371111,160151308,147902337,134783946,260907417,106734827,92429044,78392272,65109369,53123675,42672772,33643568,25840285,19186712,13702624,9385097,6148454,3847323,3847324,6148455,6599268,4134368,4134369,6599270,10041965,10042684,10042685,14594946,20336297,27272025,21714403,20334858,20334859,27270575,28942364,28942361,28942362,37484164,37849482,29281591,29281590,29397335,37961755,47879580,39909816,38201003,268220214,22281979,29634227,38201004,41377701,41377702,51602896,63326465,76357880,90185998,104338347,104338346,118522269,272346773,153957438,141285318,127923803,114042481,100015181,86051898,72453312,59717127,48331783,38425878,29862080,22499347,16325122,11357490,7545827,4772443,2876709,2876708,3138192,5154356,8051498,11998684,11328512,7525034,4758568,4758567,7525028,8051985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10644479, s2 = 11189366, dlinesl.size( ) = 2 s1 = 10644479, s2 = 11189366, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 10644479, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11189465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14195333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14195333, s2 = 11189466, int(edited[s2]) = 0 s1 = 14195333, s2 = 11189466, d1 = 8, d2 = 8 Dl.O(d1) = 95223498,81167128,81167074,67701211,55361236,55361235,67701209,81167070,81167112,81167111,271170919,109477427,95223456,81167028,67701175,55361204,55361202,67701171,81167025,95223453,109477425,109477489,109477490,123669272,123669304,109477553,109477535,95223587,95223588,109477533,95223571,95223570,259791619,81167049,67701191,55361223,44514600,35137552,35137551,44514597,55361216,258535111,260404219,95223503,258535119,67701207,81167068,95223505,260404225,95223457,81167028,258963292,81167130,95223569,260404233,258963290,67701224,55361243,44514609,35137556,27051685,20158494,254978641,9949416,14461469,20158496,256223915,44514627,55361270,67701259,81167127,259791639,261119687,112927223,98937885,85012374,258695379,58708150,47319259,256339177,268210693,15567923,21594708,28869577,37410840,29545344,22201995,16072759,11161091,7403367,4677122,2817748,1634708,1634707,2817746,4677121,7403366,11161090 Dl.O(d2) = 95223498,81167128,81167074,67701211,55361236,55361235,67701209,81167070,81167112,81167111,271170919,109477427,95223456,81167028,67701175,55361204,55361202,67701171,81167025,95223453,109477425,109477489,109477490,123669272,123669304,109477553,109477535,95223587,95223588,109477533,95223571,95223570,259791619,81167049,67701191,55361223,44514600,35137552,35137551,44514597,55361216,258535111,260404219,95223503,258535119,67701207,81167068,95223505,260404225,95223457,81167028,258963292,81167130,95223569,260404233,258963290,67701224,55361243,44514609,35137556,27051685,20158494,254978641,9949416,14461469,20158496,256223915,44514627,55361270,67701259,81167127,259791639,261119687,112927223,98937885,85012374,258695379,58708150,47319259,256339177,268210693,15567923,21594708,28869577,37410840,29545344,22201995,16072759,11161091,7403367,4677122,2817748,1634708,1634707,2817746,4677121,7403366,11161090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14195333, s2 = 11189466, dlinesl.size( ) = 2 s1 = 14195333, s2 = 11189466, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14195333, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11866844, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11189583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189583, s2 = 11262716, int(edited[s2]) = 0 s1 = 11189583, s2 = 11262716, d1 = 10, d2 = 6 Dl.O(d1) = 257800382 Dl.O(d2) = 129876792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189583, s2 = 11262716, dlinesl.size( ) = 8 s1 = 11189585, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14049565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 946532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11190009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190009, s2 = 11174254, int(edited[s2]) = 1 s1 = 14941974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14941974, s2 = 3347672, int(edited[s2]) = 0 s1 = 14941974, s2 = 3347672, d1 = 14, d2 = 20 Dl.O(d1) = 102090338,258897731,61708698 Dl.O(d2) = 262825017,187254357,263192188,178008635,167540214,167540213,155927985,143387125,130056367,130056366,116147777,116147778,116147786,116147788,116147780,116147781,130056374,143387115,130056362,130056363,143387116,155927972,167540240,155928024,143387143,130056385,130056386,143387146,155928031,167540305,178008723,187254330,195304226,202187651,202187655,195304242,187254341,187254340,195304198,187254298,187254297,195304197,264248492,187254339,187254337,195304211,187254319,178008680,261772124,143387119,130056365,260136471,102090328,260733077,143387121,155927981,167540254,178008689,178008643,167540223,155927957,143387107,143387106,155927954,262354167,155928033,167540307,178008725,263192182,167540319,167540268,155927997,143387159,143387160,155928018,262284164,187254362,195304252,195304243,191868947,183298325,173495253,162454876,150319039,137277016,123544553,109352115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14941974, s2 = 3347672, dlinesl.size( ) = 8 s1 = 11190541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190541, s2 = 11069314, int(edited[s2]) = 0 s1 = 11190541, s2 = 11069314, d1 = 6, d2 = 4 Dl.O(d1) = 257200794,256129632,24070428,18403532,13071977,8907676,5812890,3626032,2165529,1253252,1253251,2165527,3626029,254288939,1219924,689170,384812,379219,228945,126115,68461,64463,64465,64463,64465,64463,64465,64463,64465,64463 Dl.O(d2) = 64461,64389,64385,64653,64657,118172,205076,374056,672513,1194788,2078597,3497855,5629164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190541, s2 = 11069314, dlinesl.size( ) = 8 s1 = 11069313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11069313, s2 = 11190542, int(edited[s2]) = 0 s1 = 11069313, s2 = 11190542, d1 = 4, d2 = 7 Dl.O(d1) = 24874774,18377157,13051519,8891065,5799814,3617240,2160085,2160081,1282834,733152,733146 Dl.O(d2) = 1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282848,1282845,1282953,1282948,2209739,3691004,5906874,254288938,18636571,16806532,16806533,18645609,25210084,32925245,41855006,51968110,41660386,33216443,25469662,256129633,257200795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11069313, s2 = 11190542, dlinesl.size( ) = 8 s1 = 9451517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9451517, s2 = 4517598, int(edited[s2]) = 0 s1 = 9451517, s2 = 4517598, d1 = 57, d2 = 87 Dl.O(d1) = 74760711,88394523,74792716,74760692,74760693,74792727,79252416,65888987,53821265,53821264,55352660,44506720,44506721,55352662,67692117,81157588,88424893,88424892,102395021,269409436,86274496,86274501,72674807,59935328,48542737,48542736,59935326,72674789,59935312,59935311,53452879,42978845,33925434,33925433,38627916,48542720,59935308,48542781,48542782,59935384,61960663,50464784,50464785,61960664,59935350,59935351,72674821,72674822,86274513,72674841,59935375,59935374,72674828,269001846,59935343,48542754,38627940,30054064,22677861,16480855,11483345,7637982,7637981,255107287,22677854,30054054,38627932,48542744,59935337,48542745,38627966,30054077,30054076,256970821,48542752,38627953,30054071,22677866,16480857,11483346,11398268,7573605,7573606,11398270,16377718,22555165,29912332,38470264,48371916,46506432,46506431,52693784,52693783,64594399,64594406,52693789,42306922,42306921,38627950,38627951,48542767,59935365,72674830,59935355,59935356,72674831,64382990,52509645,42152032,42152031,52509643,64382959,64382960,77550858,258212892,91481703,78802541,65472564,65472563,258962704,59754408,59754407,72488620,77124951,77124952,91023447,77550856,77550855,86085963,72488618,59754405,59754406,52509623,52509622,64382962,77550853 Dl.O(d2) = 227091843,274229528,208235331,202500451,264587723,216830815,220035997,216830811,212964892,212964893,216830814,216830818,212964897,208235333,264042502,187696059,178542282,178542283,178542285,168183195,156692974,261415158,117231261,117231260,103114935,89043868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9451517, s2 = 4517598, dlinesl.size( ) = 24 s1 = 13540375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11190595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190595, s2 = 11420846, int(edited[s2]) = 0 s1 = 11190595, s2 = 11420846, d1 = 8, d2 = 5 Dl.O(d1) = 258783602,22282859,22282860,22818379,16598998,11576600,255497435 Dl.O(d2) = 258797043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190595, s2 = 11420846, dlinesl.size( ) = 8 s1 = 11190681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190681, s2 = 10599036, int(edited[s2]) = 0 s1 = 11190681, s2 = 10599036, d1 = 4, d2 = 12 Dl.O(d1) = 61788186 Dl.O(d2) = 268940676,11818879,8568932,5564620,3448290,3448289,5564618,8568929,10439159,8001184,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,17038495,17038494,17038796,16771120,11725191,7827676,7827675,11725189,16771116,23010684,30415785,39005115,48928832,60327080,52383778,50425056,50425057,46641507,36755728,32145957,32145956,40923419,36755156,28260090,21058718,15126585,10433301,10433300,15115504,10426158,6874092,6874094,10426163,15115511,10433794,6878532,4317749,4317748,4317732,4317704,4317645,4317643,6878349,6878404,6878405,10433585,15127078,21059522,28261258,31592640,40276965,32088588,32088584,36752335,28257393,21056511,15124909,10432181,10432176,15124832,10432131,8700141,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059434,28261115,31698254,36737618,28242567,21043619,15115474,10426145,10426141,15115459,11724862,7827510,7827509,6874040,4315182,4315180,6874031,10426013,15115256,21043238,23464357,17184938,17184936,23464396,30897813,36571308,28261021,28261020,28261427,28261424,25472033,18871719,18871716,25472020,33218725,29310228,29310226,36749627,36749629,33444270,25673730,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,21982329,29310089,37878889,36736992,36736991,40391072,31698276,24190313,17821454,12617974,12617975,17821457,15432219,10668617,7046175,7046174,10668616,15432216,21423832,28670907,37192867,46436223,50425384,40391843,31699020,24190851,17821797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190681, s2 = 10599036, dlinesl.size( ) = 14 s1 = 11190809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11190993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11190993, s2 = 13403130, int(edited[s2]) = 0 s1 = 11190993, s2 = 13403130, d1 = 2, d2 = 3 Dl.O(d1) = 83898175,83898176,97755067,90126352,76310635,76310634,77572630,74686921,61893385,50402830,50402831,61893387,74686919,88314381,75012838,75012839,75012842,75012840,62192656,50675274,50675273,62192654,75012837 Dl.O(d2) = 73281444,84725611,84725612,76310665,63288454,63288453,73281460,60537293,60537292,60537350,49137309,39210529,39210531,49137313,49137291,49137290,60537321,49137308,39210528,30614213,23194075,16926656,16926657,23194078,30614217,39210536,49137320,58434447,47059357,37167833,28650755,28650754,37167831,47059352,47436730,58823344,71551464,70366578,70366577,74561304,65879363,63288315,51570446,51570388,51570389,63288238,75012893,63288276,51570419,51570420,63288277,76310534,76310602,75012912,75012911,88661147,76310571,76310572,87801475,74198223,72172853,59434241,59434242,72172855,85767160,90126262,90126264,86892357,73281415,73281414,74250426,74250427,76310552,76310551,82104225,82104226,86586885,86586883,96141484,82111078,82111079,87156391,73538155,73538156,87156394,88661129,86586906,86586907,87801450,74198193,61419683,49941664,49941663,58713428,58713429,47324522,37415940,37415941,31248371,23763972,23763970,31248368,39923930,49941675,58713432,58713433,71444570,85017242,257020182,101154240,257967138,87801469,81860191,68335110,68335111,61472340,60791072,60791071,73538219,61472327,60791007,49390336,39461924,30857099,23425746,23425747,30857102,39461929,49390344,60791017,53962224,53962227,66039591,54889108,44084948,39669157,31003768,23529813,23529811,26740218,26740216,34764238,34883398,26824962,19958775,14290862,9817603,6450248,6450252,4047709,2423299,1401973,1401970,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190993, s2 = 13403130, dlinesl.size( ) = 2 s1 = 11190993, s2 = 13403130, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11190993, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11191123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11191123, s2 = 11421986, int(edited[s2]) = 0 s1 = 11191123, s2 = 11421986, d1 = 11, d2 = 6 Dl.O(d1) = 260747273 Dl.O(d2) = 167725318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11191123, s2 = 11421986, dlinesl.size( ) = 22 s1 = 11191465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11191465, s2 = 11101402, int(edited[s2]) = 0 s1 = 11191465, s2 = 11101402, d1 = 11, d2 = 8 Dl.O(d1) = 268147366,31766754,24254738,17877153,12660656,8596380,8596381,6082207,3805856,2279806,1322221,1322222 Dl.O(d2) = 255675947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11191465, s2 = 11101402, dlinesl.size( ) = 14 s1 = 14195445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11191647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11191647, s2 = 12248610, int(edited[s2]) = 0 s1 = 11191647, s2 = 12248610, d1 = 13, d2 = 31 Dl.O(d1) = 258918885,84715333,98645829,112642639,98870060,258690631,37327977,256875477,257403278,77750707,77201312,64060045,64060046,77201314,71367619,258030950 Dl.O(d2) = 47237712,58630956,71072172,58355808,46986103,46986102,53368650,65372462,71367176,84943625,98870078,112857848,98870144,84943778,71367449,58643608,258067455,47250821,47250820,58643618,71379526,71367415,70336014,70336013,60456003,258195969,86815096,84635281,84635280,98558976,84943489,71366959,71366958,70911293,70911292,58355849,46986134,37101808,28594390,21362120,21362121,28594392,28791122,28791121,37327785,47237012,47237026,46986130,37101807,28594389,21362120,21362121,28594392,28791122,28791121,37327785,47237012,58630123,71366871,84943435,84943443,84943442,98558979,84846023,71272067,58540378,47151993,47151992,58540375,64060044,52218517,52218516,64060041,58630302,58630075,58630074,71072210,71072211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11191647, s2 = 12248610, dlinesl.size( ) = 32 s1 = 14195454, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11191831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16214395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16214395, s2 = 469004, int(edited[s2]) = 0 s1 = 16214395, s2 = 469004, d1 = 49, d2 = 70 Dl.O(d1) = 5673009,5673010,8714843,12817423,18078883,24507385,21072771 Dl.O(d2) = 43206761,43206762,255973878,30034848,22659831,16465919,16465918,16465921,16465920,22659834,30034826,30034827,26019007,19343752,19343751,26019006,256684835,38608952,30034736,256426257,38609054,30034863,256426267,48524479,53718882,48030912,38117776,256931883,30034832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16214395, s2 = 469004, dlinesl.size( ) = 2 s1 = 16214395, s2 = 469004, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16214395, Dl.E( ) = 72, 3e-05 seconds used appending s1 = 10146047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146047, s2 = 14165897, int(edited[s2]) = 0 s1 = 10146047, s2 = 14165897, d1 = 63, d2 = 83 Dl.O(d1) = 40564474,31862820,24340589,17950126,12719919,8642970,5621252,3492286,2074612,1191828,1191827,2074611,2134901,3582455,5753064,8828993,12970879,16885880,17950122,24340585,17950121,12719916,8642967,8642966,12719915,17950119 Dl.O(d2) = 67664888,257283632,72945092,60205270,257911711,55324916,67664903,81131735,95190049,100507023,114537430,114537437,128420633,128420639,128420640,141773461,154420337,166157148,166157149,166157138,154420324,150412271,150412270,162541896,263011018,162473735,150339323,137297869,137297868,150339321,261845718,178303993,183313508,183313507,191882557,199253863,195521177,195521178,199253864,191882558,191882559,195521176,187509117,187509116,178303991,167872738,262352352,156288644,143763620,130436827,116594597,102492780,102492779,95121315,81063737,67595979,67595978,81063734,95121309,109374973,123566013,137297861,130436839,130436840,143763627,150339305,150339304,162473719,173512292,262823336,262925650,261965902,128873333,260265704,86935694,86935695,88354330,74726003,61932157,61932158,74726006,88354336,102350495,100917413,270874020,77388236,77388235,91307180,100917391,100917390,114970990,116443567,114970947,100917356,86935694,86935695,258912965,61932165,50441469,40407382,31715240,24207605,17837684,17837683,24207602,28730328,28730329,29365819,22035260,15933738,11056591,7331516,4631502,2790146,1618716,1618715,2790145,4631500,7331512,4631611,4631610,7331697,7751545,4909179,4909178,7751561,8658982,5632694,5632696,4956728,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9552052,9127533,9127532,13355982,17950092,12719892,8642944,5621234,3492276,2074606,1191824,1191826,2074610,3492284,5621248,5621265,8642988,7751897,4909409,2959159,1715838,974938,548877,548878,974876,548837,548838,974878,1715727,2958971,2959093,1715805,1715806,2959096,254550055,7751769,7751770,11635819,16670548,11635926,11635927,16670707,22901438,256992539,60205304,72944577,86544396,86544717,72944922,60205106,60205107,60204708,48807584,48807586,60204713,61938371,50447251,40413044,31721196,24213922,17843632,17843631,24213920,31721197,28068463,20897276,20897275,28068460,36535202,257393253,70441914,70441921,70441922,83969349,259331917,85139106,90073819,76262650,76262651,67664963,57746773,57746774,70441912,70441913,83969340,84303662,85064953,71492210,71492211,84303664,84303665,76262646,70795494,58078161,58078162,70751971,58037661,46664983,36779679,28283532,254805322,15171063,21117592,28327714,36823292,40759166,268006038,18028347,18028348,24444644,32003948,40759168,50874095,60205164,48808065,48808066,38885763,30299989,22901331,16670628,11635867,7751798,7751799,255121649,22901333,30299992,32651888,41540544,51820786,52645140,52645129,42259507,42259506,52645140,52645129,52645122,52645123,64544282,258672938,71079143,71079142,76995527,259006087,90567322,104741010,91654090,77726441,77726440,71079131,71079130,76995521,90873777,98593864,90567317,90567318,98564712,105052975,119245990,105862046,92913487,90873778,77726460,76699183,76699182,259619721,98564709,84641801,71079134,71079135,84641802,98564711,112557874,261098649,261650113,140158578,140158577,140158560,132766255,118933928,118933929,112954113,105052976,105052977,112954123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10146047, s2 = 14165897, dlinesl.size( ) = 30 s1 = 11192171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11192171, s2 = 11658971, int(edited[s2]) = 0 s1 = 11192171, s2 = 11658971, d1 = 4, d2 = 19 Dl.O(d1) = 62207631,50688136,40629844,31914950,24382864,17983562,17983563,18031927,12781587,12781588,17990363,12751179,8666315,5638236,5638235,8666312,12751175,17990355,18393639,18393640,24895587,24625172,18172877,17983699,17983698,17983678,12745294,254621073,3501495,3501496,5634323,8661417,12745306,17983691,12781583,12781584,18031924,18273738,24747151,24747123,24747124,32363683,41179500,48574583,38658667,30081454,22699767,22699768,30081457,33160960,25419893,25419892,33160958,257259021,34109216,26245245,19527911,13980852,13980853,268177167,9983311,6561686,4110722,2458882,1421418,808664,458288,258438,258437,458287,808662,1421411,2458870,4110697,4579841,4579840,7261990,10971269,12426328,12426327,254119490,10461677,6895956,5419833,5419834,7261960,10266162,6745944,6745943,5094630,3092305,3092306,5094635,6122703,3830725,3830724,6122697,9347717,13651033,15831647,12426543,12426351,8398653,8398650,12426343,17604565,12426363,8398661,8398660,6936494,4358770,4358772,6936501,10457154,15163306,21109060,21107375,21107374,28317720,28439878,28419915,28419912,23950455,17604680,16216503,15315425,15315427,15255311,10524707,6941194,6941195,10524714,15255323,16216475,21087838,21107713,21193619,15230102,10506039,6927776,6927777,10506042,15230107,268278681,18273619,24746966,32363482,41179296 Dl.O(d2) = 39002217,30412723,23007655,16768122,11721568,7824044,7824045,8578882,5574099,3457806,2049944,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216204,7744154,4904033,4904035,7744158,11625937,16400435,16400434,254787247,4816049,2902304,254360491,7612303,11446380,16431247,22615797,19653218,19653217,14095155,9694487,9694488,14095156,15160039,10454911,10454910,15160037,15115196,15115197,21043139,17121521,17121523,22555402,19833105,16431367,11446461,11446460,12033056,8089479,5182744,3162068,3162066,5182737,8089466,12033024,10454438,10454441,7682208,4860934,2929243,2929247,4860947,7682240,11546830,9688199,9688197,14084800,11837028,7910929,5029156,5029152,6891509,6891515,10454717,10454718,12030530,16052078,16052077,22177788,23179110,23179111,30598068,39194978,49122567,259448525,114389115,272279166,167172254,167172255,177671423,186952264,192442589,192442588,183978561,174318612,163473260,151591738,138889882,125556739,111749517,97825924,83965733,70438694,57743717,46393214,36532635,28066124,255742200,31539254,29495254,29495255,32327247,32327248,26900085,20046254,14360582,14360584,20046256,26932400,21823947,21823945,20061990,14377804,9883908,9883912,14377821,9898364,6505385,6505384,9863964,9863963,14355791,15728526,15728528,21786993,22092218,22092216,29422911,37691540,35013993,35013992,35024218,26943431,26943430,29421947,22649993,22649994,30022999,38595754,35011856,26930179,20044583,14359588,9867061,9867062,14359590,20044587,26930192,20058263,20058261,20066171,20066170,24005011,20067126,20067129,21779501,20017511,17659725,254972524,31503716,26926361,20040939,20040940,26926363,30724386,28646815,21404942,21404940,21994505,18725165,18725163,25299777,28421622,28421623,30021227,22648442,16457275,16457276,16457277,16457278,22648446,30021232,30058908,254470086,30722977,23305424,17044516,11957225,11957224,17044515,23305422,30722975,25761463,25761465,33149891,25409410,19231970,17045594,17045595,23306817,29448648,27079548,25409775,23306900,17045661,17045659,18817990,25408619,28375741,36872397,46751573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11192171, s2 = 11658971, dlinesl.size( ) = 14 s1 = 11192425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11192425, s2 = 11443058, int(edited[s2]) = 0 s1 = 11192425, s2 = 11443058, d1 = 11, d2 = 13 Dl.O(d1) = 259568043 Dl.O(d2) = 261889403,262858473,187769255,195732241,202547584,208273951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11192425, s2 = 11443058, dlinesl.size( ) = 14 s1 = 11192777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11192777, s2 = 14007678, int(edited[s2]) = 0 s1 = 11192777, s2 = 14007678, d1 = 33, d2 = 19 Dl.O(d1) = 259576291,258255946,101825988,115872551,129771750,272602293,260714492,167283381,260117726 Dl.O(d2) = 272261076,261287438,195127714,195127659,260714508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11192777, s2 = 14007678, dlinesl.size( ) = 14 s1 = 11192955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11867908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11867908, s2 = 13405038, int(edited[s2]) = 0 s1 = 11867908, s2 = 13405038, d1 = 15, d2 = 13 Dl.O(d1) = 39821367,49844835,61327834,74110486,87716425,101689994,115734547,119035573,132855611,146074073,142956897,142956898,155505914,167138671,261061008,186919471,195005761,201926238,207749687,212552177,216477862,264447440,226889509,228673717,265351072,231639196,232893283,234029028,235064117,236005683,274658936,234405241,233311497,232104062,230764241,229261668,229261667,230764240,229261671,227561935,227561934,229261670,274441681,223385083,220800994,220800992,217766338,214130513,209702024,204303008,197829859,190231635,181432744,171414086,160196528,160196527,171414084,169219809,157787466,145386630,132157419,132157418,260194928,104185922,90056826,90056827,270970368,118342673,104185918,90056824,76248479,63233498,51520357,51520355,41302748,41302749,46696913,36813945,28317658,21107309,15161844 Dl.O(d2) = 29499912,29499901,29499904,38062824,47974956,50056490,60208653,60208649,48811574,44373764,34995567,26914171,20029735,20029736,26250891,19533355,19533356,26250893,255175998,31357012,26250980,19533406,19533407,26250987,34115549,31357005,23863327,23863328,31357009,40036763,50056318,61535318,60208655,268112012,41428823,51670469,43202461,268440956,38889151,256522726,58626347,58626339,47233649,47233651,58626342,256522736,48811642,38889156,30302995,30302994,22903966,22903967,30303002,38889164,44373754,44373753,38889171,38889172,48811662,268680580,60208686,53714848,43202449,43202448,43202431,38889125,38889124,48811596,48811567,48811568,60208645,60504714,65772262,65772264,79127595,72948370,72948369,72948376,85115021,93374787,85786782,72192784,59454938,48063711,38150967,38150966,48063709,58815045,47428191,37520482,28976660,28976659,37520479,47428186,58815039,58626336,48811624,256017578,30302986,38889143,257573529,269399070,38889120,38889119,256522746,72948333,60208670,60208672,60208673,60332066,48934267,48934268,60332069,73072514,86548046,257069710,86864802,74312523,61535321,257515522,59454933,60208699,72948374,270386048,86548043,74312598,74312597,71362978,71362977,62144270,50638067,256562111,31883178,40590244,39170115,39170114,49100486,60208664,60208663,60504668,60208675,48811608,38889132,30302978,30302979,38889134,48811612,48811602,48811603,60208668,72948335,72948336,86548029,86548048,73251700,60504636,60504638,49100457,39170094,30571873,23154195,23154198,30571878,30571883,30571885,39170110,49100478,39170120,39170119,49100493,60504664,258261452,59315018,60504623,53348466,53348465,65350761,78654013,70893282,258199699,49100440,256466065,30571862,39170079,49100438,60504656,73251695,60504709,49100480,39170112,30571887,23154202,16892931,11821195,11821196,16892933,23154206,30571896,39170131,49100505,60504720,60504721,65350778,53348476,42884050,33840643,26021098,26021096,33840640,42884046,53348469,65350767,73251740,73251776,73251775,79247001,73251688,60504629,60504628,73251685,76266154,76266155,85387256,71798972,71798973,85387257,90077924,88254659,74624146,74624145,73463762,60715944,49314115,49314114,60715943,65882782,53814842,53814841,65882779,79246978,88254643,74624126,61831859,61831858,58179139,58179140,70893280,61831878,50347939,50347938,61831875,258750574,87917376,87917375,74624110,61831839,61537007,50058578,50058579,61537009,74313816,65882817,65882816,79247014,88254655,79246968,79246967,87080677,73463767,60715946,255065704,39386415,49314118,40321626,40321625,50058590,61537022,61537028,74313830,74624121,61831855,61831854,258104166,50347934,40321618,40321617,40321629,31632836,24126305,17763549,12569976,12569975,17763546,24126302,31632828,40321611,50347925,61831851,258104176,61536998,50058573,50058571,61536994,74313797,77312622,77312621,74313847,70905521,70905523,61489882,50012004,50012005,58192804,46826861,46826859,269398081,39994192,39994193,50011989,39994186,39994187,39994197,31317378,23827871,17490270,12332039,12332038,17490269,23827870,31317376,39994190,36934077,36934076,46812365,58179574,50554990,50554991,50555000,256557615,268265021,12697600,267916909,5609013,8626424,12697598,255597171,31821672,40518592,39994195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11867908, s2 = 13405038, dlinesl.size( ) = 2 s1 = 11867908, s2 = 13405038, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11867908, Dl.E( ) = 30, 1.5e-05 seconds used appending s1 = 13631447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13631447, s2 = 1320801, int(edited[s2]) = 0 s1 = 13631447, s2 = 1320801, d1 = 17, d2 = 11 Dl.O(d1) = 91534956,258408029 Dl.O(d2) = 25490463,18886628,18886627,25490461,18886630,13459204,9204130,9204131,8940984,254903023,9203633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13631447, s2 = 1320801, dlinesl.size( ) = 18 s1 = 11193267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11193267, s2 = 11111500, int(edited[s2]) = 0 s1 = 11193267, s2 = 11111500, d1 = 1, d2 = 12 Dl.O(d1) = 75803666 Dl.O(d2) = 260202876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11193267, s2 = 11111500, dlinesl.size( ) = 14 s1 = 11193505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13493646, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11193987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11193987, s2 = 10982974, int(edited[s2]) = 0 s1 = 11193987, s2 = 10982974, d1 = 29, d2 = 36 Dl.O(d1) = 63152239,51452178,51452177,63152238 Dl.O(d2) = 118260098,132077689,132077690,118260099,118260089,104101148,104101147,118260089,104101148,89969938,76161100,63152240,51452178,268485198,220086,120892,120889,111895,61338,35498,35494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11193987, s2 = 10982974, dlinesl.size( ) = 40 s1 = 13660097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13660097, s2 = 13134165, int(edited[s2]) = 0 s1 = 13660097, s2 = 13134165, d1 = 29, d2 = 34 Dl.O(d1) = 76219776,63208763,63208764,76219777,259605225,118301697,132114712 Dl.O(d2) = 272655303,131471334,117666839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13660097, s2 = 13134165, dlinesl.size( ) = 2 s1 = 13660097, s2 = 13134165, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13660097, Dl.E( ) = 60, 1.79e-05 seconds used appending s1 = 11194243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194243, s2 = 11394300, int(edited[s2]) = 0 s1 = 11194243, s2 = 11394300, d1 = 10, d2 = 12 Dl.O(d1) = 261391733 Dl.O(d2) = 269196508,22679528,22679527,255755468,262264823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194243, s2 = 11394300, dlinesl.size( ) = 14 s1 = 11194583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194583, s2 = 10759225, int(edited[s2]) = 0 s1 = 11194583, s2 = 10759225, d1 = 27, d2 = 28 Dl.O(d1) = 76616095,259615883 Dl.O(d2) = 38273360,29706667,22351604,16200742,254775839,4724950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194583, s2 = 10759225, dlinesl.size( ) = 2 s1 = 11194583, s2 = 10759225, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11194583, Dl.E( ) = 32, 7.15e-06 seconds used appending s1 = 14083239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9501775, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11194711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11194743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11194971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194971, s2 = 11345782, int(edited[s2]) = 0 s1 = 11194971, s2 = 11345782, d1 = 10, d2 = 12 Dl.O(d1) = 257809282 Dl.O(d2) = 260294598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194971, s2 = 11345782, dlinesl.size( ) = 14 s1 = 15710699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15710699, s2 = 9190779, int(edited[s2]) = 0 s1 = 15710699, s2 = 9190779, d1 = 5, d2 = 3 Dl.O(d1) = 217314442,213581871,209024195,203471919,196841585,189091726,180142175,180142176,273622165,180142174,169967532,158602702,146229137,132997116,119163892,104970498,90794226,76919517,63812779,51997531,41686152,256706870,13165798,8974177,8974179,11966607,11966805,17057992,23323286,23859237,23859238,18530239,18530238,25072865,254677290,25072776,19695133,18530168,254905771,8974168,13165787,255641315,32769740,32769830,25072860,25072861,23322977,23322976,30743775,36814142,36814141,31910111,24378539,24378540,31910110,30744042,23323173,23323172,30744039,39343123,257604519,268829010,42471397,33477691,25704235,25704234,33477689,42471393,52875282,60668821,73416002,84497211,84497210,84497202,84497201,74153971,74153972,87757866,74153712,63875927,52056871,41742125,255178978,18566095,254907399,8994183,13193467,18566098,23698589,17376588,17376589,23698541,31188305,39870867,254846924,39870929,39945110,31270471,23785125,23785126,31270473,31188446,31188445,39871059,256004599,17376635,17376637,17376633,12244834,12244833,17376631,268437579,256004593,23698593,31188362,31188205,31188204,25116860,18566108,18566107,23698601,17376598,12244789,8269964,5336348,5336347,8269962,12244787,17376492,23698480,17376495,17376496,23698463,17376472,12244689,255165963,23698465,31188230,31188214,256004583,17376458,12244679,255554007,31188212,39870753,49892904,61373368,257638539 Dl.O(d2) = 107794716,122200028,129837188,115937680,101891532,101891534,115937684,259887192,101891520,87917439,74313920,74313919,87917438,101891518,115937663,272262499,139587204,126212599,112352587,259904610,84460963,98370242,112352591,271778814,139587210,152316134,140148039,126797962,112944141,112944140,112944143,98955113,85030239,71458337,58728231,47339952,37432138,37432137,47339949,58728230,71458336,85030238,98955111,112944139,126797959,129887008,115989676,101945533,87973261,74371319,61594925,50115029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15710699, s2 = 9190779, dlinesl.size( ) = 2 s1 = 15710699, s2 = 9190779, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15710699, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11195119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10722988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8235363, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11195431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195431, s2 = 14138722, int(edited[s2]) = 0 s1 = 11195431, s2 = 14138722, d1 = 24, d2 = 27 Dl.O(d1) = 63895695,52077370,256621707,25138789,25138790,18584221,13206459,13206458,9002636,5877172,3669452,2196453,1276088,1276087,2196509,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669676,5877332,3669512,3669510,5877325,9002905,13206919,18584843,25139531,32845183,41765057,32848691,25142507,25142508,32848692,257176467,63902851,259634243,105064103,90885191,258379583,52077372,52077373,63895698,77006387,85868938,72277486,59543356,48156494,256400543,22330949,22330948,22330947,16184595,16184594,16184598,255088093,7467999,4719417,2843243,1649368,1649367,2843242,4719414,7467996,255088091,22330942,29682471,38247344,48156491,59543352,72277484,85868936,86450646,72855253,72855252,86450643,72855255,60118283,48723174,48723175,60118285,72855258,86450651,100407312,260638951,261761823,154309582,160194330,147945887,134826167,121028208,106774431,92468748,78432515,65150503,257334588,33686503 Dl.O(d2) = 261601598,192363539,199660641,205833209,210938102,215109375,218543603,221433054,218543605,215109377,210938105,210938104,210938103,210938102,215109375,218543604,218543606,215109377,210938105,210938104,210938103,210938102,215109374,218543602,221433051,223910177,222309874,219536119,219536118,219536120,219536122,216253220,264537289,201570190,194587201,263202737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195431, s2 = 14138722, dlinesl.size( ) = 2 s1 = 11195431, s2 = 14138722, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11195431, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 11195455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195455, s2 = 11387042, int(edited[s2]) = 0 s1 = 11195455, s2 = 11387042, d1 = 7, d2 = 9 Dl.O(d1) = 259634051 Dl.O(d2) = 261415013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195455, s2 = 11387042, dlinesl.size( ) = 8 s1 = 11195463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195463, s2 = 11453548, int(edited[s2]) = 0 s1 = 11195463, s2 = 11453548, d1 = 0, d2 = 11 Dl.O(d1) = 77011926 Dl.O(d2) = 262452075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195463, s2 = 11453548, dlinesl.size( ) = 14 s1 = 11195491, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 979816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 979816, s2 = 2988047, int(edited[s2]) = 0 s1 = 979816, s2 = 2988047, d1 = 1, d2 = 3 Dl.O(d1) = 24791078,24791076,24791075 Dl.O(d2) = 63141769,76149759,89957956,89957963,89957962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 979816, s2 = 2988047, dlinesl.size( ) = 2 s1 = 979816, s2 = 2988047, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 979816, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11195613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195613, s2 = 11034948, int(edited[s2]) = 0 s1 = 11195613, s2 = 11034948, d1 = 8, d2 = 12 Dl.O(d1) = 257108980 Dl.O(d2) = 256343654,37476371,37476372,28934854,21656971,15621758,15621759,21656972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195613, s2 = 11034948, dlinesl.size( ) = 8 s1 = 11195629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195629, s2 = 11317538, int(edited[s2]) = 0 s1 = 11195629, s2 = 11317538, d1 = 4, d2 = 8 Dl.O(d1) = 77090536 Dl.O(d2) = 259617908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195629, s2 = 11317538, dlinesl.size( ) = 10 s1 = 11195825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195825, s2 = 13812572, int(edited[s2]) = 0 s1 = 11195825, s2 = 13812572, d1 = 23, d2 = 44 Dl.O(d1) = 270505959,263705613 Dl.O(d2) = 263482750,273094970,191880143,272524460,173509113,173509112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 16364975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11196027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196027, s2 = 11290900, int(edited[s2]) = 0 s1 = 11196027, s2 = 11290900, d1 = 4, d2 = 18 Dl.O(d1) = 64114711 Dl.O(d2) = 267928564,20821267,27986067,27289667,27289666,25277128,25277129,25277414,18704901,18704900,24226146,17854419,12644219,12644218,17854416,24226139,22722477,16517362,14406314,14406313,20093450,259785427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196027, s2 = 11290900, dlinesl.size( ) = 20 s1 = 11196039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196039, s2 = 10986904, int(edited[s2]) = 0 s1 = 11196039, s2 = 10986904, d1 = 36, d2 = 28 Dl.O(d1) = 72270577,59536658,48149921,38240782,256278204,16179574,16179573,22324978,23421341,17144521,17144520,23421338,30851846,39455760,38020083,29458117,22123940,22123941,29458118,29062410,27111647,255336553,9979406,6559150,6559151,9979408,14502625,20210144,255753017,31419720,23929554,17587651,17587650,23929551,31419715,27112708,20211465,14503312,14503311,20209671,14502025,12413725,12413727,17586761,19191805,14502097,12413623,12413624,17586619,17587323,23929200,31418101,31418098,31418465,40098427,35200086,27110757,20209772,14502108,14502106,15764746,10917994,10739123,10739124,15527560,21544407,23928126,23928085,17586445,12413495,12413496,14501720,12413780,8390287,5414284,5414283,5414387,8390462,12414088,14501633,12414059,8390445,255180511,23929080,255621310,40098988,40098987,41126844,257074930 Dl.O(d2) = 52543093,254112876,14577866,10031177,6592604,6592603,10031174,10039672,10039671,13450244,14191590,18875620,18875621,14188754,14188753,14188787,14188786,18874955,18874954,14200907,9762026,9762027,9167416,9167415,9198069,9198068,9755685,6414566,6414563,254071284,254146678,16106246,254648528,4690832,7423106,7423110,4690834,2826487,1639905,932517,525600,294530,294531,525602,254165949,2826496,4690859,4691486,7424230,11189287,16108853,22246011,22246120,255897039,33589038,42613060,46954004,37073849,37073848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196039, s2 = 10986904, dlinesl.size( ) = 32 s1 = 11196083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196083, s2 = 11145136, int(edited[s2]) = 0 s1 = 11196083, s2 = 11145136, d1 = 36, d2 = 45 Dl.O(d1) = 260256873 Dl.O(d2) = 269798024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196083, s2 = 11145136, dlinesl.size( ) = 38 s1 = 11196247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322875, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197171, s2 = 11214868, int(edited[s2]) = 0 s1 = 11197171, s2 = 11214868, d1 = 35, d2 = 46 Dl.O(d1) = 256577886,42148196,33190209,25444846,24319758,17932824,12706370,8632868,8632869,12706373,17652550,23996279,25445866,18848796,13429430,10633786,10633785,15387122,18847929,13428782,9181388,6009379,3758618,3758585,2251567,2251569,3758602,6009351,9181205,9181206,13428467,18846559,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,7857500,7857501,11769068,12482499,17653156,23996987,18850245,13430417,13430418,18850247,25447627,29461638,27059969,20166238,14467972,9954106,6542054,6542056,9954107,14467973,20166239,20166409,23082220,30495707,30495805,30495806,23082935,23082936,30496438,30495443,23081949,23081948,27056225,27056226,23082930,16830236,14467198,9953577,9953578,10851383,254979730,11767988,11832544,16907665,14473138,9958146,9958145,14473137,20172287,17333619,16831665,16831664,16831902,20168635,14470205,9956018,6543520,6543521,9956022,14470212,20168643,27055134,255332827,9954151,9954152,14468054,20166361,27060143,29200777,27053198,20159803,17492550,12333695,8331952,5377502,3306708,1945361,1945360,255174235,23830881,257649485,74271383,87873068,271392721,272899893,263973101,207860356,212647250 Dl.O(d2) = 233838564,232687516,265998536,228389148,274194792,273549750,272862051,141142999,260003438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197171, s2 = 11214868, dlinesl.size( ) = 50 s1 = 11197235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197235, s2 = 14195711, int(edited[s2]) = 0 s1 = 11197235, s2 = 14195711, d1 = 7, d2 = 7 Dl.O(d1) = 64396277,52522434,268746247,13435926,9186075,9186076,13435928,18857798,25456961,25456954,25456955,33204065,27983576,27983575,29223430,34004308,32407200,32407199,37785089,29223243,21907713,15826485,10967620,7259572,7259571,10967618,14922052,14922053,20819385,27983745,27983572,27013697,20121286,20121287,27013687,20121280,14429849,9925860,6523520,6523519,9925858,14429845,20121270,27013671,35100529,44477560,46295688,36442712,36442713,31285220,31285219,39960104,256806465,20819322,14922013,14921984,14921983,20819286,27983623,36442716,36442669,36442670,256269315,27983456,26999174,20108882,14419604,14419603,20108880,26999171,35084018,39959896,39197594,39197595,49125152,49976612,39960121,31285252,23798954,17466332,12313945,12313801,8317576,5367206,3299661,1940740,1940739,3299659,5367200,8317561,12313815,17466131,23798710,31284978,27983422,27983421,36442571,269293349,39959800,39959773,31284918,28504110,21285516,15321530,10582442,10582441,15321522,12313747,8317532,5367184,5367185,8317533,255560885,255560907,12313938,8317636,8317637,12313940,17466283,12313912,8317620,8317621,12313915,17466287,255097058,23580633,17268757,17268758,23580641,31064387,39742317,47936863,50555487,50220207,50220208,61701927,61240075,49761019,49761018,59315777,47922511,38007087,29444093,29444095,38007094,39742346,39742345,31064414,23580662,17268770,17268769,23580660,31064411,39742344,49761034,61240084,74020718,74432168,74432169,72050659,59315721,59315719,256413262,46762508,257419835,54670520,43928173,34654935,26663315,26663314,34654933,43928170,54670517,59315718,50165069,50165070,47922503,40198196,31512361,24012022,17664822,12491450,12491451,17664826,24012028 Dl.O(d2) = 64396277,52522434,268746247,13435926,9186075,9186076,13435928,18857798,25456961,25456954,25456955,33204065,27983576,27983575,29223430,34004308,32407200,32407199,37785089,29223243,21907713,15826485,10967620,7259572,7259571,10967618,14922052,14922053,20819385,27983745,27983572,27013697,20121286,20121287,27013687,20121280,14429849,9925860,6523520,6523519,9925858,14429845,20121270,27013671,35100529,44477560,46295688,36442712,36442713,31285220,31285219,39960104,256806465,20819322,14922013,14921984,14921983,20819286,27983623,36442716,36442669,36442670,256269315,27983456,26999174,20108882,14419604,14419603,20108880,26999171,35084018,39959896,39197594,39197595,49125152,49976612,39960121,31285252,23798954,17466332,12313945,12313801,8317576,5367206,3299661,1940740,1940739,3299659,5367200,8317561,12313815,17466131,23798710,31284978,27983422,27983421,36442571,269293349,39959800,39959773,31284918,28504110,21285516,15321530,10582442,10582441,15321522,12313747,8317532,5367184,5367185,8317533,255560885,255560907,12313938,8317636,8317637,12313940,17466283,12313912,8317620,8317621,12313915,17466287,255097058,23580633,17268757,17268758,23580641,31064387,39742317,47936863,50555487,50220207,50220208,61701927,61240075,49761019,49761018,59315777,47922511,38007087,29444093,29444095,38007094,39742346,39742345,31064414,23580662,17268770,17268769,23580660,31064411,39742344,49761034,61240084,74020718,74432168,74432169,72050659,59315721,59315719,256413262,46762508,257419835,54670520,43928173,34654935,26663315,26663314,34654933,43928170,54670517,59315718,50165069,50165070,47922503,40198196,31512361,24012022,17664822,12491450,12491451,17664826,24012028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197235, s2 = 14195711, dlinesl.size( ) = 2 s1 = 11197235, s2 = 14195711, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11197235, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 14195712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11197383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197383, s2 = 10666446, int(edited[s2]) = 0 s1 = 11197383, s2 = 10666446, d1 = 0, d2 = 43 Dl.O(d1) = 77594654 Dl.O(d2) = 225489100,274377879,220634892,217574959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197383, s2 = 10666446, dlinesl.size( ) = 76 s1 = 8158570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11197595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11197613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197613, s2 = 10663436, int(edited[s2]) = 0 s1 = 11197613, s2 = 10663436, d1 = 12, d2 = 0 Dl.O(d1) = 64550718 Dl.O(d2) = 25525048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197613, s2 = 10663436, dlinesl.size( ) = 22 s1 = 11197619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197619, s2 = 6836963, int(edited[s2]) = 0 s1 = 11197619, s2 = 6836963, d1 = 35, d2 = 47 Dl.O(d1) = 77733550,91661718 Dl.O(d2) = 112414634,259042906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197619, s2 = 6836963, dlinesl.size( ) = 8 s1 = 11197639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197639, s2 = 12266008, int(edited[s2]) = 0 s1 = 11197639, s2 = 12266008, d1 = 6, d2 = 15 Dl.O(d1) = 64554887 Dl.O(d2) = 18918878,13487631,13487630,18919292,25529216,18919282,13487623,13487624,18919284,13487639,9227899,6043770,3781642,2265379,2265378,3781638,6043762,9227891,13487625,9227897,6043768,6043767,9227895,13487591,13487579,13487578,13487587,18919217,18919262,25529187,33289835,256649981,25529165,25529166,33289787,25529142,18919242,18919243,25529146,25529120,25529121,33289759,42269976,40359866,40359865,50394960,61884716,64555494,64555495,257796994,61884717,64555439,64555438,64555451,52655902,42270004,42270006,52655904,52655850,52655849,55207836,55207837,52655946,42270052,33289829,33289830,30825230,30825231,39429390,42270108,33289878,25529235,18919297,18919298,18919227,18919226,25529108,33289739,37988556,29427155,29427157,268494574,33289767,42269990,52655889,44357383,34979912,34979913,42269973,50394959,40494773,34602608,34602607,33289846,25529196,18919265,18919266,25529200,33289849,42270071,37995152,33289783,256383580,37995167,47911202,59305609,54614922,52655944,42270049,42270050,47911198,47414654,268505402,28963441,37506843,32051789,31665253,24155529,17788394,17788393,24155527,31665250,40359870,257676891,52655872,50930996,40811770,40811771,50530551,47941262,38027571,38027572,47941264,47911186,47911185,50530531,50530530,42270091,255887804,22100700,15991005,11100985,7361830,7361831,11100987,13487634,18919294,25529231,29432764,37995188,37995198,29432771,29432770,32051796,29427169,22096293,15987823,11098823,11098822,15987821,22096289,29427164,37988575,40811775,50530549,62022706,64555248,52655665,42269768,33289525,33289526,40494807,31799745,24285738,24285737,31799744,40494805,47911223,47911222,40494787,31799731,31799732,40494789,50530535,59349658,47958945,42270094,33289870,33289871,42270096,52655970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197639, s2 = 12266008, dlinesl.size( ) = 18 s1 = 11197705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197705, s2 = 15111551, int(edited[s2]) = 0 s1 = 11197705, s2 = 15111551, d1 = 10, d2 = 18 Dl.O(d1) = 268629638 Dl.O(d2) = 29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,39780573,49799899,268243962,268101834,47916569,47916570,39780893,31102348,23617837,17304003,17304005,23617848,19530378,13983355,13983353,19530371,17303675,12181308,8212945,5284039,5284038,8212941,12181295,17303654,23617169,25460109,25460108,25459321,25459320,33206969,35080282,26995408,26995407,32913386,31100129,31100130,30802526,23617401,19530339,13983342,13983343,19530348,26247600,23617361,23617362,31101655,33202371,25455493,25455491,21675453,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,21077842,21077843,28283101,33202702,33202700,33208235,25460467,18860450,13437678,13437679,13437503,9187091,9187089,13437491,18856509,25455367,23374951,23374952,28288440,21082262,15143388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197705, s2 = 15111551, dlinesl.size( ) = 2 s1 = 11197705, s2 = 15111551, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11197705, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 15111552, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197795, s2 = 11521170, int(edited[s2]) = 0 s1 = 11197795, s2 = 11521170, d1 = 16, d2 = 15 Dl.O(d1) = 259038028,42304652,42304651,36414842,255780777,14902646,255356151 Dl.O(d2) = 272159199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197795, s2 = 11521170, dlinesl.size( ) = 20 s1 = 13498050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13498050, s2 = 14115140, int(edited[s2]) = 0 s1 = 13498050, s2 = 14115140, d1 = 0, d2 = 0 Dl.O(d1) = 64590284,256876314,33321956,33321955,42302783,52689637,64590283,259669571,105907520,105907532,91700441,91700436,77773073,77773074,91700437,105907524,120119106,105907516,91700428,77773062,77773061,91700414,77773050,77773052,91700417,105907508,105907514,271548665,120119104,105907515,259318356,77773082,258691572,64590286,77773071,91700435,259937330,91700438,91700437,105907525,105907507,91700411,259318352,91700430,105907506,120119100,120119110,105907529,91700440,77773080,77773081,77773064,64590280,64590281,77773066,91700423,77773058,77773059,91700424,77773073,64590290,52689640,42302787,42302788,52689642,64590294,258691572,64590286,77773071,91700434,105907521,120119107,133960781,147182725,159541280,170868791,170016581,158658184,146289890,133062270,119232323,105040116,90861592,76983639,63872903,52054055,41739458,32818633,25114883,25114882,32818630,25114886,18564326,13191943,13191942,18564325,25114885,32818636 Dl.O(d2) = 64590284,256876314,33321956,33321955,42302783,52689637,64590283,259669571,105907520,105907532,91700441,91700436,77773073,77773074,91700437,105907524,120119106,105907516,91700428,77773062,77773061,91700414,77773050,77773052,91700417,105907508,105907514,271548665,120119104,105907515,259318356,77773082,258691572,64590286,77773071,91700435,259937330,91700438,91700437,105907525,105907507,91700411,259318352,91700430,105907506,120119100,120119110,105907529,91700440,77773080,77773081,77773064,64590280,64590281,77773066,91700423,77773058,77773059,91700424,77773073,64590290,52689640,42302787,42302788,52689642,64590294,258691572,64590286,77773071,91700434,105907521,120119107,133960781,147182725,159541280,170868791,170016581,158658184,146289890,133062270,119232323,105040116,90861592,76983639,63872903,52054055,41739458,32818633,25114883,25114882,32818630,25114886,18564326,13191943,13191942,18564325,25114885,32818636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13498050, s2 = 14115140, dlinesl.size( ) = 2 s1 = 13498050, s2 = 14115140, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 13498050, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14115139, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197831, s2 = 11160014, int(edited[s2]) = 0 s1 = 11197831, s2 = 11160014, d1 = 5, d2 = 6 Dl.O(d1) = 254472730,25563167,18951526,18951525,19691744,18951541,16842014,11778062,11778066 Dl.O(d2) = 13837851,9713687,9713688,254892014,257270885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197831, s2 = 11160014, dlinesl.size( ) = 8 s1 = 11160013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11160013, s2 = 11197832, int(edited[s2]) = 0 s1 = 11160013, s2 = 11197832, d1 = 7, d2 = 2 Dl.O(d1) = 257270884,254892015,5719371,5675014,5675017 Dl.O(d2) = 8718442,6537491,4095915,2450330,1416662,805956,805957,1416667,254472731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11160013, s2 = 11197832, dlinesl.size( ) = 8 s1 = 11197909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197909, s2 = 16399624, int(edited[s2]) = 0 s1 = 11197909, s2 = 16399624, d1 = 40, d2 = 28 Dl.O(d1) = 259043863,260286631,95593580,81560097 Dl.O(d2) = 68070076,55670807,44760913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197909, s2 = 16399624, dlinesl.size( ) = 24 s1 = 11198083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11198083, s2 = 10586070, int(edited[s2]) = 0 s1 = 11198083, s2 = 10586070, d1 = 49, d2 = 38 Dl.O(d1) = 261450979,258496402,57420999,51348633,51348636,63029196,76011920,68515403,68515404,79204834,93335402,259189177 Dl.O(d2) = 263010273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11198083, s2 = 10586070, dlinesl.size( ) = 26 s1 = 11198093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11198093, s2 = 11543172, int(edited[s2]) = 0 s1 = 11198093, s2 = 11543172, d1 = 29, d2 = 12 Dl.O(d1) = 258235626,95651925,264695119,264604718,223844454 Dl.O(d2) = 230999929,265274876,265458542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11198093, s2 = 11543172, dlinesl.size( ) = 2 s1 = 11198093, s2 = 11543172, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11198093, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 11869670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11869670, s2 = 11319781, int(edited[s2]) = 0 s1 = 11869670, s2 = 11319781, d1 = 1, d2 = 5 Dl.O(d1) = 254940555,19217666,25876777,33683040,42712948,53162608,65146956,78428971,92465132,98864765,257208428,62849999,62849998,59596957,59596958,52004582,41692404,32775447,32775446,36562148,46426327,37757561,29196119,29196120,37757562,47679783,59079812,50030118,50030117,60512645,52057715,52057714,52004617,52004616,52703820,52703819,54609748,54609747,66867804,71615290,58895603,47515871,47515870,46426324,36562147,28092138,20917942,15011685,15011686,20917943,28092140,36562150,46426329,57781270,70481452,84015388,97884217,111816542,125630744,138968889,151673698 Dl.O(d2) = 92924716,92924717,92924719,257868192,53467123,255721496,46430648,36566321,33945137,254849110,53477823,50043325,44869430,44869431,55798150,68224933,81749354,95815856,269397868,124168808,133913768,120070225,105857673,91649731,257248024,42256022,33276403,25516052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11869670, s2 = 11319781, dlinesl.size( ) = 2 s1 = 11869670, s2 = 11319781, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11869670, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11198445, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11198573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11198573, s2 = 11200474, int(edited[s2]) = 0 s1 = 11198573, s2 = 11200474, d1 = 18, d2 = 11 Dl.O(d1) = 256694036,106163516,120366138 Dl.O(d2) = 118522234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11198573, s2 = 11200474, dlinesl.size( ) = 20 s1 = 11198659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11198659, s2 = 14195775, int(edited[s2]) = 0 s1 = 11198659, s2 = 14195775, d1 = 1, d2 = 1 Dl.O(d1) = 257243770,78666690,258546800,79921269,66522810,66522808,66663697,76463601,63419193,51674932,41431682,41431680,51674924,54422616,51684505,41437553,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423384,2423380,4046332,2422902,2422896,4046335,6455152,9826020,14304198,19978152,26851863,34920391,255776862,255991317,39561779,49508805,60924948,73682153,87302771,97587160,83713712,256802344,57524765,70191951,83713711,97587144,97587145,101075899,97587039,97587040,111527898,118023863,103881086,89779581,89779580,97587240,111528039,125347096,138687038 Dl.O(d2) = 257243770,78666690,258546800,79921269,66522810,66522808,66663697,76463601,63419193,51674932,41431682,41431680,51674924,54422616,51684505,41437553,32573545,32573542,30937521,30937523,30989777,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423384,2423380,4046332,2422902,2422896,4046335,6455152,9826020,14304198,19978152,26851863,34920391,255776862,255991317,39561779,49508805,60924948,73682153,87302771,97587160,83713712,256802344,57524765,70191951,83713711,97587144,97587145,101075899,97587039,97587040,111527898,118023863,103881086,89779581,89779580,97587240,111528039,125347096,138687038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11198659, s2 = 14195775, dlinesl.size( ) = 2 s1 = 11198659, s2 = 14195775, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11198659, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14195776, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11198957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11198957, s2 = 16367274, int(edited[s2]) = 0 s1 = 11198957, s2 = 16367274, d1 = 3, d2 = 14 Dl.O(d1) = 78344737 Dl.O(d2) = 262003405,171334576,181362364,190170505,197775401,204255020,209660480,214095254,274116746,223362296,225599216,227544866,229246667,230750909,232091868,233299746,234393247,235387800,236294099,237122036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11198957, s2 = 16367274, dlinesl.size( ) = 2 s1 = 11198957, s2 = 16367274, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11198957, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 16367273, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11199271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11199271, s2 = 11352138, int(edited[s2]) = 0 s1 = 11199271, s2 = 11352138, d1 = 19, d2 = 15 Dl.O(d1) = 259071069,260315391 Dl.O(d2) = 259896845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11199271, s2 = 11352138, dlinesl.size( ) = 20 s1 = 11199659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11199659, s2 = 11320764, int(edited[s2]) = 0 s1 = 11199659, s2 = 11320764, d1 = 11, d2 = 9 Dl.O(d1) = 269102649 Dl.O(d2) = 269102647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11199659, s2 = 11320764, dlinesl.size( ) = 8 s1 = 11199897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11199897, s2 = 10346014, int(edited[s2]) = 0 s1 = 11199897, s2 = 10346014, d1 = 28, d2 = 13 Dl.O(d1) = 261487135,148370241,135200592,121349230,107051904,92712068,92712067,107051903,121349228,121349230,107051904,92712071,78649566,65346458,259081015,78649564,84559477,70995873,58281142,258042353 Dl.O(d2) = 7896776,11818573,255519291,30567755,39165525,49095653,60499360,73246336,86859010,100839737,114889902,128785663,114889899,114889900,117696482,117696481,259794462,114889896,114889897,128785659,119143980,104947428,90767212,258867272,32744879,25054195,25054196,32744952,25054293,25054294,32745113,41655294,41655357,41655358,41655342,41655341,49146463,60545831,60545826,51962493,41654957,41654958,46612684,46612683,51962509,41654972,268251868,18516751,18516750,25054144,32744872,39218466,39218465,41655143,40215351,40215352,41655168,32745069,25054271,256101237,41655232,41655222,32745052,32745053,32745142,39219989,35154411,27068588,27068587,35154409,44530568,55376736,60544252,73287396,73246371,60499398,49095767,49095768,59265103,47869548,47869549,59265105,51962456,41654917,41654918,49095686,39218359,30621197,30621196,30567851,23150464,16889774,11818586,7896780,5017687,5017686,7896778,11818578,16889758,23150433,30567799,39165585,39165529,39165528,49095663,255849002,47339923,37432121,37432120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11199897, s2 = 10346014, dlinesl.size( ) = 24 s1 = 13500638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11200143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200143, s2 = 11024816, int(edited[s2]) = 0 s1 = 11200143, s2 = 11024816, d1 = 9, d2 = 1 Dl.O(d1) = 65476459 Dl.O(d2) = 19406128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200143, s2 = 11024816, dlinesl.size( ) = 14 s1 = 11200183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200183, s2 = 11172826, int(edited[s2]) = 0 s1 = 11200183, s2 = 11172826, d1 = 18, d2 = 13 Dl.O(d1) = 257710946,42993116,53468268,46611285,36723638,28229865,28229866,28117270,25823296,25823291,25185914,25185920,26111595,28097650,33947305,33761356,33761353,33845073,28254105 Dl.O(d2) = 255688895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200183, s2 = 11172826, dlinesl.size( ) = 24 s1 = 11200241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200241, s2 = 11569642, int(edited[s2]) = 0 s1 = 11200241, s2 = 11569642, d1 = 18, d2 = 15 Dl.O(d1) = 272384224,148925234,263398287 Dl.O(d2) = 274492456,266068839,274687580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200241, s2 = 11569642, dlinesl.size( ) = 8 s1 = 11200405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200405, s2 = 12236432, int(edited[s2]) = 0 s1 = 11200405, s2 = 12236432, d1 = 7, d2 = 9 Dl.O(d1) = 259091207 Dl.O(d2) = 262038175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200405, s2 = 12236432, dlinesl.size( ) = 14 s1 = 11200437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200437, s2 = 11336000, int(edited[s2]) = 0 s1 = 11200437, s2 = 11336000, d1 = 12, d2 = 9 Dl.O(d1) = 65556203,53531156,43050924,33991658,254663170,19451845,26150209,33991659,43050926,53531159,53349006,53349005,65351273,53531082,53531083,53531150,43050922,43050923,53531153,61449743,49971956,40130158,40130157,50151691,47506252,37602418,37602419,43050855,53531100,53349002,51120451,40978237,32198200,24609747,18161024,12878997,254628772,12490687,256029231,29762500,33059021,41576196,32680559,25002327,18476404,13126226,13126224,18476390,22400579,22400580,25001061,24488132,18064515,18064514,24488125,32054187,25009466,18482125,13130620,8949187,5841312,5841311,8949184,5841321,5841320,8949201,13130626,10952264,7248568,258094823,258316046,60618956,73363641,73363627,256089320,39291500,30694077,30694078,39291503,49218226,60618944,65950562,61255538,49776815,49776816,60619209,60619210,49776813,49776814,60619198,73363864,70504860,70504861,60618935,60618936,73360902,60616070,60616069,72414149,71820257,60749219,49346296,39416800,30811629,23383018,268103245,8084795,8084796 Dl.O(d2) = 11863358,7928340,7928341,11863361,16950772,12024461,8084102,5179723,3160431,1850127,1055888,1055893,1850143,3160455,5179776,8084175,12024560,17111166,256483879,49346309,261708839,127500104,127500103,140856695,127500104,260056196,269835840,47952044,38038582,38038581,47952040,59343335,72077261,74156312,61375763,49895123,49895122,47790390,269332629,85517657,98974229,259039632,71930164,59190614,59190613,71930163,85517671,99463578,113473865,127343341,127343331,127343332,126550981,126550982,127343326,127343325,130248142,130248143,137644658,123962695,121358637,121358636,133805615,119937517,105701969,105701968,119937513,119937531,126372399,119937542,119937540,127256943,127256945,140602803,133805610,119937507,105701992,105701957,105701954,91477347,91477346,271541715,119937539,130248186,130248187,133805603,133805602,133805621,133805622,126963586,126963587,135209245,121358614,121358616,126357626,112489797,112489798,126357629,131418129,133805570,119937450,107061923,259630026,91477367,77545919,64377616,52503778,42145564,42145565,52503782,64377620,77545923,91477378,105702001,119937455,107061876,107061875,113105918,112489799,98497799,98497798,92722609,78660181,78660183,92722613,99116237,85194327,71629677,58909322,58909323,71629679,85194332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200437, s2 = 11336000, dlinesl.size( ) = 8 s1 = 14195878, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13581065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15094317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15094317, s2 = 10177510, int(edited[s2]) = 0 s1 = 15094317, s2 = 10177510, d1 = 23, d2 = 9 Dl.O(d1) = 136160370,122197701,107792374,93369855,258475729,65877312,79241763,79241665,79241666,93369774,259595890,93369853,93369852,93369851,79241760,65877310,53809129,43284192,34187288,26315411,19589977,19589979,256183861,43284193,43284194,53809131,43284197,34187291,34187290,43284190,43284189,53809124,65877305,65877308,65877307,79241756,65877345,53809167,53809166,65877344,79241668,79241669,93369777,79241788,79241758,65877309,53809126,53809127,53809140,43284199,43284198,53809138,65877313,65877316,53809141,53809142,65877194,53808997,43284041,34187284,34187285,43284185,53809107,53809120,53809121,65877304,79241753,93369848,93369845,79241771,65877330,65877329,79241745,65877300,53809113,53809114,53809112,53809111,258475727,93369844,79241783,79241782,93369846,79241766,79241767,259736547,79241761,65877318,53809143,53809144,65877320,79241765,93369771,79241787,65877346,65877192,65877191,65877351,53809173,53809172,257858175,43284289,34187350,26315446,26315418,256183863,43284214,53809148,43284207,34187297,34187298,43284210,53809153,65877332,79241738,93369842,79241773,79241772,65877346,53809168,53809169,65877347,79241758,65877309,53809133,53809132,65877311,65877318,257263581,34187295,34187294,43284204,53809117,257858169,79241747,93369847,79241746,79241747,93369847,79241777,79241775,256697202,65877337,79241779,79241791,93369776,93369775 Dl.O(d2) = 34187148,26315229,19589698,14035286,9649695,9649694,14035283,18644061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15094317, s2 = 10177510, dlinesl.size( ) = 2 s1 = 15094317, s2 = 10177510, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15094317, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 11200781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200781, s2 = 11020444, int(edited[s2]) = 0 s1 = 11200781, s2 = 11020444, d1 = 33, d2 = 36 Dl.O(d1) = 271880716 Dl.O(d2) = 254850311,5382518,3309910,1947245,1112373,1112327,624170,624164,1112332,1947178,3309824,4236576,3308687,1946498,1111972,1111973,1697727,1697726,2926725,4856621,4236254,2532818,1462381,1462380,2537898,2545052,2545051,2545128,3703379,2218098,2218097,2537963,1462413,827720,467198,467195,468976,831485,737235,419029,236476,236475,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,4236790,6760815,6808700,10335961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200781, s2 = 11020444, dlinesl.size( ) = 44 s1 = 13501380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16284063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16284063, s2 = 13501379, int(edited[s2]) = 0 s1 = 16284063, s2 = 13501379, d1 = 0, d2 = 0 Dl.O(d1) = 84071215,70535008,57833608,258012238,256284468,22766761,16552935,16552934,22766760,30155036,38737480,48658769,60055345,260633591,141599704,154256128,166009116,176650199,186066282,264239317,212100985,265006005,222180345,224576376,226657763,265728688,227459874,225502878,223253662,220652401,264772986,213930007,209466514,204027000,197507437,189850576,180970995,170850503,159521350,147161748,133939077,120096815,105885239,91678419,77751490,77751489,258782540,120096811,133939072,133939074,147161745,159521347,170850498,180970992,189850573,197507434,204026996,204026997,261861346,208080804,260151424,195445642,269885744,167741544,156139010,143604395,130276878,116440103,255589714,91445267,87720756,74115181,64349896,52479791,52479792,64349898,74722864,74722863,268263154,72384962,59650409,59650410,70929275,70929274,71535547,72384956,59650403,269343370,38352281,48263341,59650408,71870137,63261610,51544920,51544919,63261608,71535542,58806479,58806478,71535538,268689962,257680770,77772982,64590206,64590205,76933991,63826337,52010594,41698968,32782628,256617459,25559849,18946994,13510268,9244127,9244128,13510270,18946999,25559863,33321930,257208755,33321919,25559855,25559856,33321909,33321908,41739679,256876208,25085126,18540811,13174076,255642027,32782641,41698991,42302742,257208753,52010614,257760829,63873103,63873102,71092584,256235082,255340344,21374817,15393674,10638737,10638736,15393671,21374811,28609779,28609782,28609783,37119997,47006148,47006166,47006167,58376422,58376417,58376413,47006155,47006156,58376416,71092581,64447109,52572131,42211463,42211462,46859984,36981476,28484553,28484554,36981477,37119999,37120000,42211454,42211453,52572121,64447098,77615119,71092576,58376410,256761800,58227808,46859978,256509920,257639300,70945028,58227802,58227801,58376420,58376421,58227805,58227804,64447100,257056680,58227803,70945030,58227816,58227817,70353113,57663430,57663429,70353112,83877976,97736899,111657744,125460204,115208176,101130298,101130297,98430139,98430140,112418522,115208177,115208178,258632736,84030383,87132133,73513423,60764292,49361006,39431390,39431391,49361007,40942384,32163449,32163450,40942387,49167639,60566927,73310143,259100784,74078497,87685680,87685683,74078503,61296962,61296961,74078500,62716082,61296956,61296957,74078498,61296951,49817062,39796276,255999545,17313052,17313051,23629026,31115654,31115660,23629029,255161361,8219055,8219056,12188681,255549419,31115667,39796291,39796273,39796274,49817059,47822011,47822012,59220174,71958495,74078509,74078508,87685687,101657258,115701173,113854487,113854486,113397163,99396141,99396140,256699882,59220170,59220171,71958490,85546275,99493094,99837758,85883700,72291424,72291425,71870139,257207056,257259708,113504326,127374409,258133072,98914486,84989023,84989024,98914487,269565796,140104674,140104672,140104673,259731610,113854484,99837755,99837753,99837754,113854480,107652012,107652013,122026390,113854476,107905754,107905752,122326560,127374412,113854482,257853874,72291422,59557135,59557134,48170390,38260750,38260749,43385639,257864059,48170397,43385641,43385640,53909845,65976696,79341125,93473522,93473508,79341116,79341117,79341126,93473524,83834038,83834037,93473512,107905750,122326557,122326563,121744709,121744708,134843672,121044195,106788892,92481599,92481600,106788894,107875268,122289746,134843671,134843669,134843670,147964799,160216184,164891345,261478368,140357496,127003888,259404182,85234442,71669487,256965158,37658978,37658980,47561717,37655736,29106181,21807627,21807626,29106179,29434949,37997558,47913445,52088583,41774936,32854193,32854191,41774932,52088576,58944596,47561730,47561731,58944598,269516284,70924456,58207112,54619250,54619251,47562911,37656839,32167829,32167830,37658074,29108247,21809443,21809444,29108249,37658080,47564212,58947060,58944574,47561708,47561707,37655727,29106174,21807622 Dl.O(d2) = 84071215,70535008,57833608,258012238,256284468,22766761,16552935,16552934,22766760,30155036,38737480,48658769,60055345,260633591,141599704,154256128,166009116,176650199,186066282,264239317,212100985,265006005,222180345,224576376,226657763,265728688,227459874,225502878,223253662,220652401,264772986,213930007,209466514,204027000,197507437,189850576,180970995,170850503,159521350,147161748,133939077,120096815,105885239,91678419,77751490,77751489,258782540,120096811,133939072,133939074,147161745,159521347,170850498,180970992,189850573,197507434,204026996,204026997,261861346,208080804,260151424,195445642,269885744,167741544,156139010,143604395,130276878,116440103,255589714,91445267,87720756,74115181,64349896,52479791,52479792,64349898,74722864,74722863,268263154,72384962,59650409,59650410,70929275,70929274,71535547,72384956,59650403,269343370,38352281,48263341,59650408,71870137,63261610,51544920,51544919,63261608,71535542,58806479,58806478,71535538,268689962,257680770,77772982,64590206,64590205,76933991,63826337,52010594,41698968,32782628,256617459,25559849,18946994,13510268,9244127,9244128,13510270,18946999,25559863,33321930,257208755,33321919,25559855,25559856,33321909,33321908,41739679,256876208,25085126,18540811,13174076,255642027,32782641,41698991,42302742,257208753,52010614,257760829,63873103,63873102,71092584,256235082,255340344,21374817,15393674,10638737,10638736,15393671,21374811,28609779,28609782,28609783,37119997,47006148,47006166,47006167,58376422,58376417,58376413,47006155,47006156,58376416,71092581,64447109,52572131,42211463,42211462,46859984,36981476,28484553,28484554,36981477,37119999,37120000,42211454,42211453,52572121,64447098,77615119,71092576,58376410,256761800,58227808,46859978,256509920,257639300,70945028,58227802,58227801,58376420,58376421,58227805,58227804,64447100,257056680,58227803,70945030,58227816,58227817,70353113,57663430,57663429,70353112,83877976,97736899,111657744,125460204,115208176,101130298,101130297,98430139,98430140,112418522,115208177,115208178,258632736,84030383,87132133,73513423,60764292,49361006,39431390,39431391,49361007,40942384,32163449,32163450,40942387,49167639,60566927,73310143,259100784,74078497,87685680,87685683,74078503,61296962,61296961,74078500,62716082,61296956,61296957,74078498,61296951,49817062,39796276,255999545,17313052,17313051,23629026,31115654,31115660,23629029,255161361,8219055,8219056,12188681,255549419,31115667,39796291,39796273,39796274,49817059,47822011,47822012,59220174,71958495,74078509,74078508,87685687,101657258,115701173,113854487,113854486,113397163,99396141,99396140,256699882,59220170,59220171,71958490,85546275,99493094,99837758,85883700,72291424,72291425,71870139,257207056,257259708,113504326,127374409,258133072,98914486,84989023,84989024,98914487,269565796,140104674,140104672,140104673,259731610,113854484,99837755,99837753,99837754,113854480,107652012,107652013,122026390,113854476,107905754,107905752,122326560,127374412,113854482,257853874,72291422,59557135,59557134,48170390,38260750,38260749,43385639,257864059,48170397,43385641,43385640,53909845,65976696,79341125,93473522,93473508,79341116,79341117,79341126,93473524,83834038,83834037,93473512,107905750,122326557,122326563,121744709,121744708,134843672,121044195,106788892,92481599,92481600,106788894,107875268,122289746,134843671,134843669,134843670,147964799,160216184,164891345,261478368,140357496,127003888,259404182,85234442,71669487,256965158,37658978,37658980,47561717,37655736,29106181,21807627,21807626,29106179,29434949,37997558,47913445,52088583,41774936,32854193,32854191,41774932,52088576,58944596,47561730,47561731,58944598,269516284,70924456,58207112,54619250,54619251,47562911,37656839,32167829,32167830,37658074,29108247,21809443,21809444,29108249,37658080,47564212,58947060,58944574,47561708,47561707,37655727,29106174,21807622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16284063, s2 = 13501379, dlinesl.size( ) = 2 s1 = 16284063, s2 = 13501379, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16284063, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11200849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200849, s2 = 11499122, int(edited[s2]) = 0 s1 = 11200849, s2 = 11499122, d1 = 15, d2 = 18 Dl.O(d1) = 260348937 Dl.O(d2) = 264372932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200849, s2 = 11499122, dlinesl.size( ) = 18 s1 = 11200907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200907, s2 = 11207140, int(edited[s2]) = 0 s1 = 11200907, s2 = 11207140, d1 = 12, d2 = 1 Dl.O(d1) = 270843950 Dl.O(d2) = 98245787,84338612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200907, s2 = 11207140, dlinesl.size( ) = 14 s1 = 11201019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201019, s2 = 11174640, int(edited[s2]) = 0 s1 = 11201019, s2 = 11174640, d1 = 9, d2 = 11 Dl.O(d1) = 260510595 Dl.O(d2) = 58232493,58232494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201019, s2 = 11174640, dlinesl.size( ) = 12 s1 = 11201027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13501636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11201099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13501736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13501736, s2 = 6692175, int(edited[s2]) = 0 s1 = 13501736, s2 = 6692175, d1 = 10, d2 = 6 Dl.O(d1) = 257424872,79255158,65892365,65892367,79255159 Dl.O(d2) = 257424874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13501736, s2 = 6692175, dlinesl.size( ) = 6 s1 = 6692176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6692176, s2 = 13501735, int(edited[s2]) = 0 s1 = 6692176, s2 = 13501735, d1 = 38, d2 = 43 Dl.O(d1) = 257424875 Dl.O(d2) = 28446238,36946005,257424873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13586729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11201543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201543, s2 = 8088001, int(edited[s2]) = 0 s1 = 11201543, s2 = 8088001, d1 = 20, d2 = 30 Dl.O(d1) = 257270056,26419378 Dl.O(d2) = 31066354,39744432,44539058,50614921,50614920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201543, s2 = 8088001, dlinesl.size( ) = 2 s1 = 11201543, s2 = 8088001, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11201543, Dl.E( ) = 100, 3e-05 seconds used appending s1 = 11201583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201583, s2 = 11395510, int(edited[s2]) = 0 s1 = 11201583, s2 = 11395510, d1 = 0, d2 = 6 Dl.O(d1) = 79371598 Dl.O(d2) = 122372619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201583, s2 = 11395510, dlinesl.size( ) = 14 s1 = 11201673, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15176568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15176568, s2 = 11412814, int(edited[s2]) = 0 s1 = 15176568, s2 = 11412814, d1 = 68, d2 = 59 Dl.O(d1) = 255564762,35097187,35097188,44473761,55319553 Dl.O(d2) = 6405086,6405085,9740642,14168779,19781252,26585361,29460557,22126066,16011548,11116451,10344991,6810721,4271701,2553952,1471155,832146,469292,263879,146114,80319,80317,146107,263869,469273,832113,1471112,2529117,2529118,4229938,4232569,4232568,6754621,6811546,10345988,6811576,4272293,2554348,1471384,1471385,1291423,1291420,2226583,3718324,5945995,6758441,4235123,4235122,3136966,3136967,5153034,5377481,5377421,3306662,1945332,1945331,3306661,5377420,8331860,10321296,9077730,5940579,3714594,2224317,1290193,736462,418643,236309,236308,418639,736451,1290176,736739,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229522,2229523,3723660,254644289,4254484,2543390,2543391,4254489,5942073,3715601,2224978,2224977,3715596,5942065,9084572,9712415,6389663,4010056,2403362,1390682,790772,790773,1390688,2403372,4010074,6389699,8595794,9095200,9095199,10282404,10282403,10353315,10274207,10274208,6758083,6758085,6820282,6314201,5210091,5210090,8132179,9061633,9061634,6865326,6820267,6820265,5956103,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,835995,1478910,2568731,4271706,2553954,1471156,832147,832148,1471157,2553956,254711219,15017019,20924780,28100580,36571955,46436658,57791826,46436654,256201152,256280297,46436656,57791828,258632389,259258923,111828925,125643763,138981971,151686405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15176568, s2 = 11412814, dlinesl.size( ) = 12 s1 = 11201831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11201895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201895, s2 = 11142740, int(edited[s2]) = 0 s1 = 11201895, s2 = 11142740, d1 = 8, d2 = 13 Dl.O(d1) = 257838888,19801588,14183718,13843082 Dl.O(d2) = 39160760,49090490,46916545,256324122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201895, s2 = 11142740, dlinesl.size( ) = 14 s1 = 11202103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11202103, s2 = 14039758, int(edited[s2]) = 0 s1 = 11202103, s2 = 14039758, d1 = 17, d2 = 18 Dl.O(d1) = 256201554,66905979,54649302,43906899,43906898,54649300,66905976,80332580,66905964,66905965,66905959,257288292,108673071,108673062,108673061,122937060,122937092,108673098,108673097,122937090,136767808,136767807,122937066,122937067,136767812,259134504,258505632,94386665,108673063,108673071,108673062,94386664,80332571,259134512,122937074,122937070,122937069,257886502,136767817,122937080,258505624,122937077,108673083,256201556,80332602,94386682,94386668,94386669,108673070,122937060,122937092,108673098,108673097,122937090,136767808,122937066,122937067,136767809,122937082,122937081,257886506,269173768 Dl.O(d2) = 257288300,122937085,108673093,94386690,80332591,80332590,257288300,122937086,108673101,94386697,255728704,122937093,136767821,149908411,162120177,173219955,259134510,259134508,127270826,127270825,113412446,99411280,85470463,85470462,71885938,59148056,47749539,37827317,37827318,47749541,39424542,30819717,30819716,255621960,254893832,23390858,17118948,17118949,12686132,12686131,17907258,24288687,31803086,40498155,50533486,61470723,49993300,39977178,39977179,255260802,24603929,268492322,12874724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11202103, s2 = 14039758, dlinesl.size( ) = 2 s1 = 11202103, s2 = 14039758, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11202103, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 14002401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11202383, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11202411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11202411, s2 = 14195983, int(edited[s2]) = 0 s1 = 11202411, s2 = 14195983, d1 = 7, d2 = 7 Dl.O(d1) = 268526740,22179721,16053572,16053573,11597976,11597977,16627191,14502518,9979327,9979328,14502522,20210404,27111506,21703229,15662292,15662294,21703236,28986598,37531344,28988868,23743332,17418543,12276885,12276882,15573604,15573605,21600908,17091417,17091362,12004069,12004071,17091372,23182901,23182902,28985768,21702668,21702669,28985774,37530262,47438305,38106761,29543538,22200353,16071406,11160056,7402568,7402570,11160064,16045627,11141282,7389783,4668438,4668435,7389776,11141270,16045596,14502512,14502513,20210371,27111463,32814518,25111474,18561784,18561782,25111467,32814505,30785327,30785328,31226904,23743314,17418528,17418527,23743310,23360176,17091426,12004106,8058903,5150828,5150831,8058909,12004114,17091440,23360188,30785383,39387581,47441767,47441768,58827853,47986810,38074062,38074061,38106737,29543522,29543521,22200381,22200382 Dl.O(d2) = 268526740,22179721,16053572,16053573,11597976,11597977,16627191,14502518,9979327,9979328,14502522,20210404,27111506,21703229,15662292,15662294,21703236,28986598,37531344,28988868,23743332,17418543,12276885,12276882,15573604,15573605,21600908,17091417,17091362,12004069,12004071,17091372,23182901,23182902,28985768,21702668,21702669,28985774,37530262,47438305,38106761,29543538,22200353,16071406,11160056,7402568,7402570,11160064,16045627,11141282,7389783,4668438,4668435,7389776,11141270,16045596,14502512,14502513,20210371,27111463,32814518,25111474,18561784,18561782,25111467,32814505,30785327,30785328,31226904,23743314,17418528,17418527,23743310,23360176,17091426,12004106,8058903,5150828,5150831,8058909,12004114,17091440,23360188,30785383,39387581,47441767,47441768,58827853,47986810,38074062,38074061,38106737,29543522,29543521,22200381,22200382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11202411, s2 = 14195983, dlinesl.size( ) = 2 s1 = 11202411, s2 = 14195983, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11202411, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14195984, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11076060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11202789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11202789, s2 = 11278290, int(edited[s2]) = 0 s1 = 11202789, s2 = 11278290, d1 = 2, d2 = 22 Dl.O(d1) = 81037521 Dl.O(d2) = 259902377,84424048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11202789, s2 = 11278290, dlinesl.size( ) = 12 s1 = 11202993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11202993, s2 = 11650766, int(edited[s2]) = 0 s1 = 11202993, s2 = 11650766, d1 = 8, d2 = 10 Dl.O(d1) = 259783993 Dl.O(d2) = 263025691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11202993, s2 = 11650766, dlinesl.size( ) = 12 s1 = 11203277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203277, s2 = 11228600, int(edited[s2]) = 0 s1 = 11203277, s2 = 11228600, d1 = 61, d2 = 59 Dl.O(d1) = 81124863,259788443 Dl.O(d2) = 53459421,65479927,64542434,258411703,65143134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203277, s2 = 11228600, dlinesl.size( ) = 8 s1 = 11203451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203451, s2 = 10989544, int(edited[s2]) = 0 s1 = 11203451, s2 = 10989544, d1 = 12, d2 = 5 Dl.O(d1) = 257526244 Dl.O(d2) = 20851077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203451, s2 = 10989544, dlinesl.size( ) = 14 s1 = 14939202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14939202, s2 = 8340425, int(edited[s2]) = 0 s1 = 14939202, s2 = 8340425, d1 = 3, d2 = 28 Dl.O(d1) = 36422219,29142815,21846517,15776119,15776121,21846520,29155254,29155940,29143598,21835900,15766728,10923350,10923351,15770935,21840569,29148677,37708964,37703399,37703400,30527823,24170881,19608697,14050772,9661611,9661612,10919961,10919963,254230288,9661586,9661588,14050731,15772485,10924954,10924952,10929686,15778219,21848274,21842112,15772389,10924889,7226720,7226721,10924894,15772397,21842125,29150398,254162628,59035152,71777542,85367292,74099811,61316808,59043594,254513706,37719800,47641828,59043595,71785475,71963979,59225822,59225821 Dl.O(d2) = 64430206,52555679,42196664,33236289,33236287,256458346,64430192,77599056,91529939,105753203,119987274,260654754,67639243,55300998,55300999,67639245,64433479,59665084,48277267,38365689,38365688,48277264,59665080,72400805,85997225,99831627,85877939,72286032,59551945,59551944,72286029,81206816,95262823,258642851,57972405,46595704,36708205,36708203,46595703,258018265,257523023,38255896,256943191,258132539,85877805,259452901,113847506,259380627,259380617,72286006,72286005,72400657,59664945,48277146,48277145,59664942,72400654,67742428,55403265,257201036,81207298,259033482,258813792,77599070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11203711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203711, s2 = 14164743, int(edited[s2]) = 0 s1 = 11203711, s2 = 14164743, d1 = 77, d2 = 79 Dl.O(d1) = 67732256,67732257,81197824,95253988,272463216 Dl.O(d2) = 180965754,170844520,159514411,147153523,260877549,105873276,260282417,261444527,272182314,77737249,257796919,42269377,42269376,257205891,64554898,77737247,261444525,159514408,262477833,261444523,260282415,105873275,261979629,159514405,147153519,133929512,133929514,147153522,159514406,170844515,180965749,180965752,263724205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203711, s2 = 14164743, dlinesl.size( ) = 8 s1 = 10566491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11203919, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11203943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203943, s2 = 11158042, int(edited[s2]) = 0 s1 = 11203943, s2 = 11158042, d1 = 8, d2 = 15 Dl.O(d1) = 81256286 Dl.O(d2) = 123763854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203943, s2 = 11158042, dlinesl.size( ) = 16 s1 = 11203957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203957, s2 = 11345392, int(edited[s2]) = 0 s1 = 11203957, s2 = 11345392, d1 = 41, d2 = 46 Dl.O(d1) = 259797633 Dl.O(d2) = 262482024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203957, s2 = 11345392, dlinesl.size( ) = 52 s1 = 10490033, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11204309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204309, s2 = 11416650, int(edited[s2]) = 0 s1 = 11204309, s2 = 11416650, d1 = 6, d2 = 13 Dl.O(d1) = 258048970 Dl.O(d2) = 273061515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204309, s2 = 11416650, dlinesl.size( ) = 8 s1 = 11204583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204583, s2 = 10356272, int(edited[s2]) = 0 s1 = 11204583, s2 = 10356272, d1 = 100, d2 = 113 Dl.O(d1) = 256631134,27254728,27254729,33512324,28397797,28397796,25607530,18994909,13555186,13555185,18994905,25607523,33372322,28340160,28340159,258026913,84367266,98275871,112255804,126112016,139483850 Dl.O(d2) = 264355143,197314181,189629135,262927173,146898938,133645397,260267597,259023831,52401142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204583, s2 = 10356272, dlinesl.size( ) = 74 s1 = 15612692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15112319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11204739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204739, s2 = 10981444, int(edited[s2]) = 0 s1 = 11204739, s2 = 10981444, d1 = 6, d2 = 8 Dl.O(d1) = 68140099 Dl.O(d2) = 254219740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204739, s2 = 10981444, dlinesl.size( ) = 8 s1 = 11204757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204757, s2 = 14507091, int(edited[s2]) = 0 s1 = 11204757, s2 = 14507091, d1 = 48, d2 = 77 Dl.O(d1) = 257179468 Dl.O(d2) = 256823680,43170607,254714732,23894287,17548276,17548275,21475609,17578523,13538325,9267716,6070401,6070399,9267711,8280727,8280726,12261494,8369557,8369555,12385741,12390696,12390695,8373384,5404035,3322453,3322454,5023023,3040405,1770516,1009048,568684,318512,318513,568685,1009049,1770525,3040423,5023058,7902110,7902728,7902727,9267355,6070137,6070136,9267350,13537913,12391445,12391446,17562459,23906265,31398963,23917621,17575746,12403899,8382858,5409632,5398548,5398550,8364234,12377858,10950062,10950060,15802955,17379686,17379687,12375932,12375933,9250074,9250073,10471664,6904410,4336360,4336358,6904403,10471659,15181453,11825935,11825938,8278959,5341688,5341686,8278944,12258695,17395342,17471727,17565562,17540359,12371714,8375986,8375985,5405643,5405639,8376017,12394250,10471670,6904411,4336360,4336358,6904403,10471659,15181453,11825935,11825938,8278959,5341688,5341686,8278944,12258695,17395339,23719201,17540312,12371689,8359867,8359863,6918376,5405709,5405704,8376151,12260036,12260038,17396571,12259607,8279487,8279490,8279816,8279819,8278835,8278836,12258504,12270207,8320372,5368938,3300694,3300693,5368859,8320238,12317865,17471630,23804900,254727286,17546234,16177297,16177296,22322693,29673885,31190532,23700604,23700599,255166145,12246247,15181199,10471488,10471487,15181197,21129873,16345234,11373195,11373197,16345238,12267332,8284133,8284137,8364768,12378741,17548807,23420069,23722099,256006019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204757, s2 = 14507091, dlinesl.size( ) = 10 s1 = 16065160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11205015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205015, s2 = 11391868, int(edited[s2]) = 0 s1 = 11205015, s2 = 11391868, d1 = 60, d2 = 59 Dl.O(d1) = 257558788 Dl.O(d2) = 128337163,141686665,128337165,128337164,128337163,262276919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205015, s2 = 11391868, dlinesl.size( ) = 46 s1 = 15067046, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11205161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205161, s2 = 15201355, int(edited[s2]) = 0 s1 = 11205161, s2 = 15201355, d1 = 6, d2 = 6 Dl.O(d1) = 268994362,36437748,257063516,36733774,28238994,21040470,15112908,10424268,6872736,4314180,4314181,6872738,10424273,15112915,19150295,13674378,9364335,9364334,13674377,256153163,27110999,35200804,40098051,257074799,61598166,55425832,55425833,67765516,257440462,28615262,21379288,15397225,15397224,10641665,7025669,4419053,2650870,2650869,4419052,7025666,10641659,15397215,15397218,21379278,268612549,37126388,28615256,21379284,15397221,10641663,10641664,15397222,255830147,37126392,47013521,58384782,71101585,84664860,84664869,98588527,84664859,84664858,258675216,58384786,47013524,37126393,37126394,47013526,58384790,71101597,84664879,84664873,71101593,71101594,84664874,98588541,112582451,126451091,139823595,152539869,164402052,166369549,154652716,142008775,128646027,128646028,142008776,147429536,134216911,120382878,106179919,257307242,256216638,42521270,255582324,31672248,31672249,28797505,28797506,29094100,31795153,24281408,24281409,31795155,31795149,31795148,268685406,74542817 Dl.O(d2) = 268994362,36437748,257063516,36733774,28238994,21040470,15112908,10424268,6872736,4314180,4314181,6872738,10424273,15112915,19150295,13674378,9364335,9364334,13674377,256153163,27110999,35200804,40098051,257074799,61598166,55425832,55425833,67765516,257440462,28615262,21379288,15397225,15397224,10641665,7025669,4419053,2650870,2650869,4419052,7025666,10641659,15397215,15397218,21379278,268612549,37126388,28615256,21379284,15397221,10641663,10641664,15397222,255830147,37126392,47013521,58384782,71101585,84664860,84664869,98588527,84664859,84664858,258675216,58384786,47013524,37126393,37126394,47013526,58384790,71101597,84664879,84664873,71101593,71101594,84664874,98588541,112582451,126451091,139823595,152539869,164402052,166369549,154652716,142008775,128646027,128646028,142008776,147429536,134216911,120382878,106179919,257307242,256216638,42521270,255582324,31672248,31672249,28797505,28797506,29094100,31795153,24281408,24281409,31795155,31795149,31795148,268685406,74542817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205161, s2 = 15201355, dlinesl.size( ) = 2 s1 = 11205161, s2 = 15201355, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11205161, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15201356, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11205281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205281, s2 = 11078060, int(edited[s2]) = 0 s1 = 11205281, s2 = 11078060, d1 = 8, d2 = 11 Dl.O(d1) = 70341264 Dl.O(d2) = 256806850,6748085,254480286,1457043,824968,824964,825057,465925,465924,825055,1457227,2528595,4227340,5924988,5924989,5949785,3720757,2227927,1292132,737495,419172,419171,737494,254202923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205281, s2 = 11078060, dlinesl.size( ) = 14 s1 = 11205365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205365, s2 = 10998966, int(edited[s2]) = 0 s1 = 11205365, s2 = 10998966, d1 = 5, d2 = 11 Dl.O(d1) = 261599947 Dl.O(d2) = 263356024,150434151,137394392,123663159,259672342,67694331,67705984,55366312,55366311,67705982,73513636,60764515,257887684,258218780,75611391,62666650,62666651,75611392,256067086,73024994,60288081,60288082,73024995,63970877,52146688,41828618,40117967,31438966,23947522,17602099,16748527,11702934,7806097,7805294,7805293,7805287,7805237,7805238,11701699,7967480,5069331,3073009,3073011,5069334,7967488,10768898,10768899,15569147,18701116,20602622,27664254,24137150,17889567,12671633,12671634,17889574,18697786,13304770,9086360,9086364,13304778,12577838,8531053,8531052,12577830,17773042,16838646,11775466,11775464,16838638,16838715,12671546,8605371,5592056,3469351,2057320,1180335,662852,662854,1180347,2057346,3469386,5592097,8605414,12671672,17889642,16838728,11775511,11775512,12671514,17889349,18215044,18215043,23376829,17889216,17889215,24268039,24268458,17889535,12671618,12671620,17889541,17889582,23093718,16838594,16838596,15253649,15253565,15253566,15253587,21223249,24268095,31780632,24268074,24268073,24268775,24268021,24268023,28450157,24268172,17889624,17889177,12671394,8605236,5591978,3469308,3469309,5591982,8605247,12671413,15253733,15253736,21223320,15253643,12671491,8605298,5592007,5592008,8605301,12671498,17889317,24268178,31780577,31780578,40475220,40475382,31780803,24268246,17889383,12671533,12671532,17889378,21223348,15253661,10523387,10523389,15253560,12671771,12671455,12671457,17889259,17889265,17889267,24268109,30326971,22925947,22925948,30326977,30508815,24267995,17889173,12671388,8605233,5591970,5591967,8605225,12671375,17889157,23093817,16838675,16838674,23093811,24268162,23093851,16838699,16838700,17889519,24268426,31780993,30804819,23376785,23376784,30804806,36950319,28450071,28450072,28354675,24268234,21223420,21223418,21139907,15188866,10523395,10523397,15253679,12671431,12671433,17889229,24268061,31780621,30327026,22925973,16691557,11652544,11652543,16691552,22925961,30327002,28358017,21143205,15191194,10478220,10478221,10461154,10461157,15168371,21114331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205365, s2 = 10998966, dlinesl.size( ) = 12 s1 = 10998965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998965, s2 = 11205366, int(edited[s2]) = 0 s1 = 10998965, s2 = 11205366, d1 = 11, d2 = 9 Dl.O(d1) = 5794021,8798420,5731145,3614657,3614658,5796306,8886712,8733056,8733055,12842110,18110725,24545482,32124064,32123830,24545275,256067087,32123815,40898827,40898826,40899048,258218781,257887685,54665856,66922434,63126874,51429597,51429598,63126876,64619945,259672343,120149108,133990434,147212814,263356025 Dl.O(d2) = 261599946,138788013,257386070,256270650,255784194,70351997,70351995,70351994,60194436,48797621,38875415,30289625,22891465,16661991,254801265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998965, s2 = 11205366, dlinesl.size( ) = 12 s1 = 11872064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11872064, s2 = 12828599, int(edited[s2]) = 0 s1 = 11872064, s2 = 12828599, d1 = 125, d2 = 150 Dl.O(d1) = 61385783,61385784 Dl.O(d2) = 19335402,26009300,33826990,42868084,53329464,65327221,78624034,92678567,107011015,121303388,135153148,148325545,160597566,160597563,160597564,171796522,170403635,159069732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11872064, s2 = 12828599, dlinesl.size( ) = 32 s1 = 14935751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14935751, s2 = 13496264, int(edited[s2]) = 0 s1 = 14935751, s2 = 13496264, d1 = 1, d2 = 1 Dl.O(d1) = 98688502,84761207,71192685,58471178,50892940,47093484,37197761,37197760,32020391,24459053,268027476,12788134,18040416,21427318,28675291,32020411,28675186,28675185,37197612,28675279,28675278,37197683,33341971,28675235,28675234,37197631,28675194,21427254,21427253,28675193,37197628,37197675,37197619,37197618,42322909,52710033,50554894,50554893,52491651,42134726,33177059,26657494,26657493,34648814,254935656,25867595,24386460,24386461,31919017,40634631,31919008,24386450,24386449,31919005,40634626,50693749,50693750,62213607,75036573,88687345,77303483,64155024,52303365,47707873,37786838,29224913,29224912,37786837,47707881,52302767,52302766,64154528,77303043,64154534,52302772,41962190,33019439,33019438,41962189,41359337,32512342,32512341,41132539,32318788,24704388,24704389,32318790,41132527,32318782,24704385,256078681,41132532,51316117,41359345,32512345,24870231,18372920,18372921,24870233,32512348,33020358,25294357,18720169,18720168,25294354,33020353,41963191,33020351,25294353,25294351,33020348,41963187,52303734,64155350,77303064,64154590,52302825,41962234,41962235,52302828,64154592,77303095,64155359,64155360,76322699,90141032,76322701,65281113,53289809,42834976,42834974,41962254,33019494 Dl.O(d2) = 98688502,84761207,71192685,58471178,50892940,47093484,37197761,37197760,32020391,24459053,268027476,12788134,18040416,21427318,28675291,32020411,28675186,28675185,37197612,28675279,28675278,37197683,33341971,28675235,28675234,37197631,28675194,21427254,21427253,28675193,37197628,37197675,37197619,37197618,42322909,52710033,50554894,50554893,52491651,42134726,33177059,26657494,26657493,34648814,254935656,25867595,24386460,24386461,31919017,40634631,31919008,24386450,24386449,31919005,40634626,50693749,50693750,62213607,75036573,88687345,77303483,64155024,52303365,47707873,37786838,29224913,29224912,37786837,47707881,52302767,52302766,64154528,77303043,64154534,52302772,41962190,33019439,33019438,41962189,41359337,32512342,32512341,41132539,32318788,24704388,24704389,32318790,41132527,32318782,24704385,256078681,41132532,51316117,41359345,32512345,24870231,18372920,18372921,24870233,32512348,33020358,25294357,18720169,18720168,25294354,33020353,41963191,33020351,25294353,25294351,33020348,41963187,52303734,64155350,77303064,64154590,52302825,41962234,41962235,52302828,64154592,77303095,64155359,64155360,76322699,90141032,76322701,65281113,53289809,42834976,42834974,41962254,33019494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14935751, s2 = 13496264, dlinesl.size( ) = 2 s1 = 14935751, s2 = 13496264, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 14935751, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11205515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16342722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16342722, s2 = 11205516, int(edited[s2]) = 0 s1 = 16342722, s2 = 11205516, d1 = 1, d2 = 3 Dl.O(d1) = 79089664,93204746,107605152,121975002,135897081,149117457,161404355,172585945,182519848,191206984,198685912,200396091,193237539,184897205,175346247,164584161,152749062,140059049,126711482,258623260,98872058,84945948,71369830,71369829,84945947,83950384 Dl.O(d2) = 57728720,46378470,36519182,28792702,28792701,28758030,28758029,28792953,28792954,30147803,30147802,38729367,48650577,60047233,72786051,86382166,86382165,72786048,72786049,86382163,100339642,114364509,128242227,259011838,256626680,71460417,58730699,47342815,37435489,28894392,255248696,15588372,21618504,16557072,11540703,10381039,7677845,7677848,11540741,16557128,18212909,18212369,18212366,20353786,14610015,14610014,20342351,18212594,18212595,14940359,14940357,268370767,36463092,46315917,57660188,70350190,83875203,271283647,125457654,138786483,151487945,163371605,174224343,183894232,192368958,199665419,205837197,210941392,264316795,187892125,178791030,168485739,157038720,144640615,131417868,131417869,117616855,103486253,89392022,258326095,51055682,40913795,40913794,257129047,32135960,24554580,256067937,25245375,18675059,18117359,12846853,12846852,18117357,24554579,256578177,29653490,29653489,35339918,31315571,31315572,39992393,32141286,32138608,24556992,18119149,18119147,24556982,29436627,22652627,22652625,30025686,32140555,32140558,37867061,37867062,39028274,37867058,36441992,36441988,40915536,32137891,32136419,32136421,40914191,40918605,32967458,32967457,41906866,255138334,32138881,32140395,40917693,39992565,31315788,31315789,38156722,29590600,29590601,268942249,256301126,50010448,39992569,31315795,31315798,38013551,44839870,44839869,37522058,37522056,41907483,38598264,36922071,28423672,21200517,21200518,18118345,18118347,24555900,32137434,24557352,24557353,32139095,40916533,269923017,37867200,37867198,40196387,40196389,37999404,29436645,29436647,37999407,41908592,41908591,47927803,50219120,256300722,24603582,18155570,18155571,24603583,32191376,40970959,40035186,31355287,23861622,17517827,12353128,12353129,17517829,23861626,31355293,39251391,39251390,31355317,31355316,40035184,47658890,50055079,40035236,31355313,31355314,40035241,256360974,21435526,21435527,28685329,37209410,40035287,50055113,53889427,50055101,40035248,40035246,50055098,61534237,53191900,42742325,42742327,38292741,38292740,48202185,59588688,269000058,53889455,43365462,34265910,34265909,43365460,34265936,256707985,53889496,50055092,40035243,40035242,40035290,40035288,43365440,43365441,53889429,51743259,269055762,60089922,60089923,72827241,86422227,257762226,78246859,74311565,74311564,85382082,71793285,59051964,50055209,40035323,31355371,31355369,40035321,50055207,42558451,33542079,25753563,25753564,33542083,42558456,52998452,48693751,38771780,30188305,30188304,38771774,48693742,257474884,86422223,92273878,87915296,74311486,74311485,87915295,270486630,85382071,74311497,73265329,73265330,86877413,90528496,76666181,72827279,71793294,59051979,59051980,70936486,58219164,58219165,59051977,47650835,47650834,59051975,71793292,60186781,48790329,38868233,38868232,48790328,48167253,38258003,38258002,48167250,59553799,258716207,99326295,100377884,260561259,99326289,85382084,72287968,59553796,59553795,72287966,60561056,49161258,39234614,39234615,48167274,48167275,59553827,72288005,72288006,73304891,85879948,72287970,72287969,85879923,72827263,60089949,60089950,65363097,65363096,78667131,85879941,85879942,259998861,259346294,258097314,72287997,72287996,85879969,85382002,71793215,59051916,59051915,71793213,85382000,93139275,102235840,99326262,99326261,86915459,73304868,60561052,60561050,73304866,64712326,64712325,67599842,81068006,86915484,90861723,90861722,85382019,71793229,59051926,47650796,47650797,59051927,71793231,85382021,88237937,74607757,74607756,74607786,61815807,53359709,42894017,42894018,53359678,42893995,257243787,65363087,53359718,42894020,42894019,53359717,60149563,72885851,86481039,99326251,259960967,86422260,74607809,61815828,61815815,50332345,50332344,52514149,60149562,50332320,40306240,40306239,50332316,258281889,86481043,86481042,100438111,259041852,78667146,65363123,257799072,33849424,26028628,19351623,13840330,13840331,19351625,26028631,268768635,53359722,65363142,74607792,74607793,88237969,88237950,74607769,61815789,50332328,50332329,40306276,40306275,50332382,61815866,73488159,61815880,50332392,50332391,61815874,50332388,50332390,61815877,74607843,76996507,63886016,61703804,60738978,49335456,40306271,40306272,50332376,61815837,50332364,258281895,64712203,64712204,65002136,53027409,42587548,42587545,53027406,52798407,42398747,42398746,52798371,42398788,33409656,33409585,25642782,19025744,19025745,25642787,33409592,31209628,31209627,39888288,40443402,40443400,42398923,49908737,39888293,31209632,31209633,39888294,39888276,39888275,49908719,61388941,74169457,257931083,50222149,40443389,40443390,40443327,40443328,47695845,47695846,50222147,47695872,37774471,29212496,21898334,15819660,15819658,268343171,35352816,44777454,41748718,32828090,25123766,25123764,32828087,37774459,37774458,37774462,37774463,47695867,40443325,40443324,50177016,50177015,44777434,35352796,256763749,40199949,257082621,61703809,269490389,41748700,32828079,32828080,35352851,37774495,29212510,21898350,15819667,15819666,255870225,37774489,40443419,40443420,50479855,55685686,46829473,41748708,32828083,32828084,33409883,33409882,41748702,46463910,40739016,31990161,31990160,40739014,50844897,57819931,50222155,50222156,59094187,47695832,47695833,37774437,268395097,21898318,29212474,27229779,27229780,35352843,256763765,50844903,40739022,31990168,24434913,256058871,33504167,25726020,19094632,13632531,9334841,9334842,9361570,13670656,13582866,9300445,9300447,13582867,255677649,13582878,19029292,25646820,25725931,19094542,19094541,19029310,19029309,25606819,255277765,9334845,9334844,13632533,19094634,19113748,13646217,13646218,19113750,25725952,19094572,19094573,25725955,33504109,33504164,33413891,25646805,25646806,20007092,14328502,14328501,20007091,256210305,42333790,33352250,25591707,25591706,24192123,24192122,31700192,40392707,256943058,59402439,48015252,38105008,29541697,29541698,38105010,29596334,29596335,38162904,31755442,255591913,12653104,12653103,17867706,24243777,31755432,33504072,42502737,48282390,38371318,29798923,22432501,22432500,29798919,38371311,29905485,22549320,16372932,16372931,22549315,268640647,48364392,48282560,48282559,258141479,72405348,59669961,48282484,48282483,59386523,59386522,59669929,48282445,38371367,38371368,48282358,48282357,48282362,59669878,59670008,48282550,46764715,36886432,29799062,29799063,38371481,29799053,22432580,16264941,11308453,7507933,7507934,11308455,268227077,29799066,37559397,37559398,42142949,48282416,42142832,33183280,33183279,42142831,38085399,29520849,29520850,38085401,38371379,29798971,29798972,38371381,38371422,29799008,29799009,38371424,29799104,22432612,16264957,11308461,255093645,22432606,29799094,38371529,48282595,52501386,52501387,48282488,38371526,268947117,38371419,257213385,33376844,33376843,42365639,47997529,38085369,29520834,29520835,38085371,42365637,42365638,38371282,29798899,22432484,16264890,16264891,22432485,256409583,48282354,42142799,33183242,33183241,35123914,35123915,29799075,29798984,29798983,25438127,20144003,20144002,27036827,35123923,38371390,29798986,29798987,25438331,18842090,13424316,9178286,9178285,13424314,18842086,18842081,18842080,25438314,33183433,25438319,25438318,28158628,20979211,15067469,10390997,10390996,9940889,9940888,13424270,13424303,255663159,18842019,13424326,13424325,18842103,25438237,33183109,26153113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16342722, s2 = 11205516, dlinesl.size( ) = 2 s1 = 16342722, s2 = 11205516, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 16342722, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 11205545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205545, s2 = 11310688, int(edited[s2]) = 0 s1 = 11205545, s2 = 11310688, d1 = 8, d2 = 7 Dl.O(d1) = 258201492 Dl.O(d2) = 151546790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205545, s2 = 11310688, dlinesl.size( ) = 14 s1 = 11205561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205561, s2 = 10988272, int(edited[s2]) = 0 s1 = 11205561, s2 = 10988272, d1 = 4, d2 = 17 Dl.O(d1) = 70401359,70401360,83927559 Dl.O(d2) = 255646612,20869215,17035855,17035856,254712892,22329350,22329351,16521100,11513888,7659152,4846023,4846022,7659149,11513879,16521090,13318894,13318893,11339579,7535548,4766776,4766774,7535515,8190240,7535684,7129992,7129994,4766497,4766498,7535014,10332739,10791831,7129935,4488623,2696616,2696615,4488619,7129926,10791809,11340573,11340574,14193692,18711807,13318544,13318545,18711812,25284778,27219979,20291406,14560746,14560745,20291398,16518893,16518894,20943948,15035587,10363322,10363323,10787849,7127611,7127614,10787858,10788099,10044024,7535610,4766813,2873470,1667699,948629,534812,534813,948576,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,6836794,6836796,10375566,12338350,12209403,12209401,15589145,16213308,16213306,14406321,14406323,15249791,10520390,10520389,15249787,16211605,14944323,14944324,12670895,12331786,10375835,10375836,15049072,20958022,20826447,14928102,14928103,14991750,254155104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205561, s2 = 10988272, dlinesl.size( ) = 20 s1 = 11205701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205701, s2 = 11326278, int(edited[s2]) = 0 s1 = 11205701, s2 = 11326278, d1 = 15, d2 = 7 Dl.O(d1) = 83950038,97809249 Dl.O(d2) = 138869472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205701, s2 = 11326278, dlinesl.size( ) = 18 s1 = 15593642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11205901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205901, s2 = 11003012, int(edited[s2]) = 0 s1 = 11205901, s2 = 11003012, d1 = 15, d2 = 18 Dl.O(d1) = 70466833 Dl.O(d2) = 28082469,22464838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205901, s2 = 11003012, dlinesl.size( ) = 20 s1 = 13507384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13507384, s2 = 7221731, int(edited[s2]) = 0 s1 = 13507384, s2 = 7221731, d1 = 76, d2 = 39 Dl.O(d1) = 260298598,93010392 Dl.O(d2) = 264196980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13507384, s2 = 7221731, dlinesl.size( ) = 48 s1 = 11206081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206081, s2 = 11221984, int(edited[s2]) = 0 s1 = 11206081, s2 = 11221984, d1 = 10, d2 = 13 Dl.O(d1) = 257213640 Dl.O(d2) = 258735321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206081, s2 = 11221984, dlinesl.size( ) = 8 s1 = 14196174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11206127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206127, s2 = 11367698, int(edited[s2]) = 0 s1 = 11206127, s2 = 11367698, d1 = 21, d2 = 14 Dl.O(d1) = 78325740,258859338,25794952,19149536,13673778,13673777,19149535,25794950,33590862,40954226,40954225,33048543,25320228,25320227,33048534,34648091,26656815,19842901,19842902,23254473,23254474,25485983,255957638 Dl.O(d2) = 195318716,187271382,263334864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206127, s2 = 11367698, dlinesl.size( ) = 14 s1 = 15063658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029059, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11206357, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11206361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206361, s2 = 11395798, int(edited[s2]) = 0 s1 = 11206361, s2 = 11395798, d1 = 0, d2 = 12 Dl.O(d1) = 84083660 Dl.O(d2) = 139051639,151753585,151753575,151753576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206361, s2 = 11395798, dlinesl.size( ) = 14 s1 = 11206431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206431, s2 = 15107842, int(edited[s2]) = 0 s1 = 11206431, s2 = 15107842, d1 = 11, d2 = 17 Dl.O(d1) = 84094577 Dl.O(d2) = 65152381,65152382,258396120,74525914,61744212,61744213,74525915,74525912,74525911,81199961,71790032,71790033,85379270,85892748,85892747,74525914,74525913,256783558,55626598,68013851,81497381,85892749,86017261,72420635,59685579,48299004,48299005,59685605,72420663,86017285,87835462,99977083,86017280,85379387,71790188,59048697,47647351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206431, s2 = 15107842, dlinesl.size( ) = 12 s1 = 14015897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14015897, s2 = 13733786, int(edited[s2]) = 0 s1 = 14015897, s2 = 13733786, d1 = 25, d2 = 31 Dl.O(d1) = 28176026,28176027,28176040 Dl.O(d2) = 146907,146910,265402,472346,837939,837940,837924,472250,472249,837918,1482030,838260,838258,1482517,2574363,2574192,2574191,2573874,1482153,838015,838014,1482151,2573868,1482294,838112,472390,265437,146937,80762,44211,44212,80767,80812,80798,44221,44220,80792,146986,265513,472470,472469,472283,265356,146882,80729,44201,44202,80733,146892,265374,472304,837973,1482040,1482039,1481606,837549,837550,1481610,838267,472488,472487,838263,1482523,1482399,1482398,1482405,838301,472510,472508,838296,1482379,838171,472425,265464,146959,80778,44217,24565,13744,13745,24570,44230,80783,80782,146974,265492,472450,838210,472534,472518,265526,146995,146876,146875,146888,146887,265369,265454,265456,472413,838141,837522,837500,471996,471997,837553,1481614,1482417,838195,472442,265480,265479,472440,838189,838290,472504,472503,838286,1482393,1482331,838130,472404,265449,146953,80770,80769,146946,146989,146990,265473,146966,146965,265468,265540,147005,80807,80805,146997,265534,472272,265346,265347,265363,265364,265486,265487,472408,838136,837531,471982,471981,837528,1481569,2573227,4303892,6857976,10403681,15083423,20998756,28181383,36657938,46525591,258016555,64189329,52339188,42000027,33056623,255532934,18748859,25328000,33056622,42000025,257027698,30658041,23236763,23236762,30658027,30658025,39254438,42000297,33056890,33056891,30790553,256481246,30788828,30788827,30788857,268427310,268245014,29278663,21954395,15863094,15863095,21954400,29278672,25328257,18749048,13348358,13348196,13348198,18748805,25327934,25328239,33056917,30658051,30658052,39254470,49180140,49180139,42000408,33056993,29278678,29278677,33057056,25328330,18749105,13348392,9121119,5968414,5968413,9121116,13348386,18749093,25328307,33057007,42000428,52339418,255980614,33057013,25328309,25328310,33057016,33057029,42000446,52339526,52339498,42000413,256118229,25328301,33056999,33056953,25328266,18749053,18749054,25328268,33056957,256354002,64189435,257187905,42000144,52339299,42000474,33057043,33057042,42000469,52339546,64189440,64189441,77336480,91256029,77336537,64189545,64189547,72819639,72819638,64189735,52339683,47651244,47651243,42000318,42000317,52339428,64189532,64189561,64189559,64189446,52339316,42000162,33056761,25328115,25328116,21120004,21120003,28331186,36827212,46709475,52339117,42000166,33056763,256633321,36827480,36827481,46709727,52339571,42000503,33057062,31807929,28331208,21120022,21120023,28331214,36827240,36827280,33056747,25328109,25328108,33056743,28331176,21119998,15172607,15172609,21120001,28331184,25328526,18749272,18749273,25328528,33056911,38764181,38764179,46709639,36827402,36827401,36827167,28331262,256298331,28331428,21120321,15172843,15172841,21120156,21120158,28331417,21120178,18748963,18748964,21120228,21120227,28331124,21119970,21119971,15172782,15172779,21120243,255623588,13830210,19338870,268509339,269109585,53333488,65331022,78627585,92681863,107014104,121306402,135156179,148328625,160600463,171799292,179475147,169218285 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206657, s2 = 11437310, int(edited[s2]) = 0 s1 = 11206657, s2 = 11437310, d1 = 33, d2 = 27 Dl.O(d1) = 84236437,98131343,112091327,125925518,139274930 Dl.O(d2) = 260041493,86481686,72886512,60150331,48756147,38836096,30252242,255500623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206657, s2 = 11437310, dlinesl.size( ) = 30 s1 = 13508568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207063, s2 = 11357500, int(edited[s2]) = 0 s1 = 11207063, s2 = 11357500, d1 = 13, d2 = 14 Dl.O(d1) = 259895035 Dl.O(d2) = 272861600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207063, s2 = 11357500, dlinesl.size( ) = 8 s1 = 11207071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207139, s2 = 11200908, int(edited[s2]) = 0 s1 = 11207139, s2 = 11200908, d1 = 0, d2 = 19 Dl.O(d1) = 84338269 Dl.O(d2) = 270843951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207139, s2 = 11200908, dlinesl.size( ) = 20 s1 = 11207245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207245, s2 = 11222054, int(edited[s2]) = 0 s1 = 11207245, s2 = 11222054, d1 = 13, d2 = 7 Dl.O(d1) = 255801450,36820641,46703140,38515103,38515102,46703145,36820642,36820643,37190030,28668473,28668472,31185885,39868319,47085646,37190065,37190067,29093612,21795809,15736569,10898784,7208253,7208252,10898781,15736563,21795805,28350639,21421961,21421960,28668516,22321487,16176167,11243244,10475605,6907061,6907063,10475609,15186970,15430868,15430869,21421966,28668523,33234911,33234910,28804849,28804838,28804839,37342981,29817576,22449928,16280544,16280542,16516712,12642508,12642507,17852076,24223570,31731798,37342993,46855999,47085622 Dl.O(d2) = 259983741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207245, s2 = 11222054, dlinesl.size( ) = 14 s1 = 10180654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207357, s2 = 6798051, int(edited[s2]) = 0 s1 = 11207357, s2 = 6798051, d1 = 20, d2 = 117 Dl.O(d1) = 84372139 Dl.O(d2) = 255797078,32953366,30913472,30913471,28901625,28901626,28141803,258637165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207357, s2 = 6798051, dlinesl.size( ) = 42 s1 = 14584114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15112605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10934702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15267471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207741, s2 = 11437222, int(edited[s2]) = 0 s1 = 11207741, s2 = 11437222, d1 = 0, d2 = 9 Dl.O(d1) = 84435447 Dl.O(d2) = 262156289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207741, s2 = 11437222, dlinesl.size( ) = 14 s1 = 11207777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13718037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16349477, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15915744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11208141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208141, s2 = 11465208, int(edited[s2]) = 0 s1 = 11208141, s2 = 11465208, d1 = 15, d2 = 13 Dl.O(d1) = 84508432,98429919,112418321,261088915,139651355 Dl.O(d2) = 263488369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208141, s2 = 11465208, dlinesl.size( ) = 18 s1 = 11208229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208229, s2 = 8564922, int(edited[s2]) = 0 s1 = 11208229, s2 = 8564922, d1 = 32, d2 = 17 Dl.O(d1) = 269309204 Dl.O(d2) = 167748186,260984920,143612157,259152572,102354726,257303006,24213128,17842892,12635286,8578987,5574147,3457821,2049946,1175662,659974,659976,1175614,2049836,3457541,5573645,5574665,8577996,5573593,5573594,8578000,12633649,15237884,10511666,6931659,6931660,10511672,15237896,14196977,9759416,6416860,4025703,2412412,1396313,794419,450114,253467,253468,450120,794433,1396342,2412481,4025843,6417134,9759901,9760560,12633891,15867764,15867765,18396854,24899699,32549138,26396206,19662045,19652703,19652697,19820808,19820809,22790954,26632029,30599938,28709528,22164136,16042064,11138930,7388297,7388296,11138924,12028209,14090054,14090055,17116352,17116351,19008081,19008080,21468462,15466879,10694734,10247246,9145153,5984556,4802912,4802909,6421659,4028619,4028623,6421630,8088964,11612223,12032236,17121752,21481023,19048775,19048774,25669144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208229, s2 = 8564922, dlinesl.size( ) = 6 s1 = 11208233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11208309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208309, s2 = 11063886, int(edited[s2]) = 0 s1 = 11208309, s2 = 11063886, d1 = 11, d2 = 12 Dl.O(d1) = 257431237 Dl.O(d2) = 268069901,6986113,6986115,10590377,10590240,6986043,6986045,10590266,15333584,21302132,23733855,23919560,17578037,12406181,12405978,12405977,12406161,12406160,12409963,12409964,12405879,8384508,5410620,3326068,3326069,5410624,8383159,5575893,3459229,3459227,5575889,7844000,7844001,11748483,8377423,5406480,4716794,4716793,7464007,11244657,9245215,9245214,13511705,17391795,17385851,17385852,17569576,254447930,23727729,17403820,12264990,8282699,8282701,254495408,14979575,14979574,17408971,17400153,12262436,12262435,17400151,16168238,16168241,17403116,20971571,15061341,10386169,10386170,15061345,15141109,17565360,17882988,22776276,17420229,17420228,22230879,16096349,11179951,11179950,16096344,22230875,29578483,31190352,39873130,254331782,35126981,35126983,31218070,254496354,12268879,8285086,5344965,3284899,3284898,5344963,5344922,5344921,8284997,12268711,17407139,18949052,18949053,19840101,255151238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208309, s2 = 11063886, dlinesl.size( ) = 14 s1 = 11208891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208891, s2 = 11181832, int(edited[s2]) = 0 s1 = 11208891, s2 = 11181832, d1 = 0, d2 = 12 Dl.O(d1) = 71088568 Dl.O(d2) = 256411060,28606693,256859671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208891, s2 = 11181832, dlinesl.size( ) = 8 s1 = 11209115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209115, s2 = 11052858, int(edited[s2]) = 0 s1 = 11209115, s2 = 11052858, d1 = 10, d2 = 27 Dl.O(d1) = 84689789,258687952 Dl.O(d2) = 22336676,16188940,11253042,7901398,5022744,3040264,3040267,5022783,7901673,11823789,16896021,17152961,12056433,10563677,6967449,6967451,4381195,2623817,1514322,1514323,2623827,4376193,6060928,6943449,6943448,4368106,2617200,1511166,1511165,2617193,4368084,4376013,3797302,3797303,6069170,4370304,4370303,6067921,6067923,4526549,4526548,6957062,4371146,2618699,2618695,4371128,6952779,8116558,6968061,6968060,10496696,6950142,6950144,6954609,6954608,9252205,6946847,6946849,6960891,6960890,6957718,4371471,2618855,1511958,857271,857270,1510847,1510848,1513333,2621834,4377355,6967623,10563925,15286526,11622097,11622098,15258023,10526746,10526747,6953429,6953430,8374957,6970134,6970133,6962913,4374581,4374579,6962910,10557148,10699253,8112279,8112280,10699262,9242823,6053505,6053504,6534152,9941629,9248067,6056743,3791795,2271401,2271400,3791790,3793901,4450318,3792625,3792629,6059201,6059203,6060494,9253686,9247097,6056171,3789565,2270269,1316761,751338,751337,1316754,2270252,3789525,6056076,9246917,10572019,10572021,12052494,15304084,17148776,12062370,8110533,5196164,5196162,8110526,255150965,18957877,13521649,9253348,9253349,13501274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209115, s2 = 11052858, dlinesl.size( ) = 26 s1 = 11209219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209341, s2 = 11097056, int(edited[s2]) = 0 s1 = 11209341, s2 = 11097056, d1 = 18, d2 = 14 Dl.O(d1) = 256919062,21417561,15427335,254733407,254334513,7043516,10665055,15427332 Dl.O(d2) = 256865075,37922507,37922506,47842533,52562040,52562039,64437121,73181159,60434284,49030545,39101440,30505124,30505123,27971706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209341, s2 = 11097056, dlinesl.size( ) = 2 s1 = 11209341, s2 = 11097056, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11209341, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11209385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209385, s2 = 11055306, int(edited[s2]) = 0 s1 = 11209385, s2 = 11055306, d1 = 10, d2 = 8 Dl.O(d1) = 257445224 Dl.O(d2) = 256325244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209385, s2 = 11055306, dlinesl.size( ) = 6 s1 = 11055305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055305, s2 = 11209386, int(edited[s2]) = 0 s1 = 11055305, s2 = 11209386, d1 = 9, d2 = 11 Dl.O(d1) = 256325245 Dl.O(d2) = 257445225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055305, s2 = 11209386, dlinesl.size( ) = 6 s1 = 11209509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209509, s2 = 10530281, int(edited[s2]) = 0 s1 = 11209509, s2 = 10530281, d1 = 12, d2 = 6 Dl.O(d1) = 84779067,79355824,76016576,76016577,76016578,89793544,103894925,118037311,260624640,131862631,131862629,131862630,131862627,118037304,103894920,89793542 Dl.O(d2) = 63033631,63033632,76016577,63033634,51352984,41167713,269041683,63033633,255926554,41167711,41167712,51352982,53458961,53703438,256424614,63033633,255926554,41167711,41167712,51352982,53458961,53703438,43191727,41167710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209509, s2 = 10530281, dlinesl.size( ) = 2 s1 = 11209509, s2 = 10530281, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11209509, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 11209531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209531, s2 = 12650699, int(edited[s2]) = 0 s1 = 11209531, s2 = 12650699, d1 = 0, d2 = 0 Dl.O(d1) = 84784513,84784514,84784515,271305303,112708115,98712539,98712538,260529609,259389734,48405326 Dl.O(d2) = 84784513,84784514,84784515,271305303,112708115,98712539,98712538,260529609,259389734,48405326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209531, s2 = 12650699, dlinesl.size( ) = 2 s1 = 11209531, s2 = 12650699, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 11209531, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11209691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209691, s2 = 15010510, int(edited[s2]) = 0 s1 = 11209691, s2 = 15010510, d1 = 17, d2 = 23 Dl.O(d1) = 259311907 Dl.O(d2) = 263162515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209691, s2 = 15010510, dlinesl.size( ) = 26 s1 = 11209705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209743, s2 = 10979578, int(edited[s2]) = 0 s1 = 11209743, s2 = 10979578, d1 = 21, d2 = 36 Dl.O(d1) = 261661869 Dl.O(d2) = 269320584,38467086,47823345,49929149,39910247,39910246,35340744,27216829,20288611,14558546,10017966,10017661,10017660,254563926,15269744,21237997,23910969,17567698,12396194,8377440,8377439,12396191,12071637,8117627,8117628,11244609,7463982,7463981,7464201,11244985,8381899,5409130,5409129,5409204,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287477,12272630,17414041,16650247,16650246,12671204,12402441,10017183,6583999,6583995,10017175,14557449,20287435,27215759,30165539,22776140,22776141,23902008,17557663,17557662,23902007,256122914,28965976,21684010,15644723,10827414,7156596,4507208,2708430,2708436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209743, s2 = 10979578, dlinesl.size( ) = 38 s1 = 13511796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13511796, s2 = 223514, int(edited[s2]) = 0 s1 = 13511796, s2 = 223514, d1 = 65, d2 = 62 Dl.O(d1) = 98802695,84874075,84874074,84874075,71299591,258062441,47178690,47178689,58567521,258687067,58567522 Dl.O(d2) = 5431606,5431607,5442219,5442220,5442326,3345651,3345650,5442322,8430400,12461550,15788142,255431703,17619921,12449415,8443333,8443334,8430206,5442174,3345549,3345548,5442171,5434611,3340861,3340859,254599343,12450706,12450707,17626183,17636875,12460583,8429345,8429346,12460585,8439912,8439913,255015367,6883391,6883392,10441409,10441379,10441378,8423031,8423030,8436751,12465286,12465287,12451247,8419648,8419647,12450966,8419363,8419364,12450967,17629653,17647720,17647719,17633351,17633352,17627594,17627595,23975750,17629273,12450330,8418707,254857733,17629276,12473123,8442510,5451706,5451707,8442511,12445536,12445534,12455867,12478262,12478261,17628739,12458520,255142635,8408788,8408789,5426120,3335613,1961715,1961714,3335609,254598277,5434104,3340549,1964398,1964403,1964394,1964395,1964053,1121820,1121822,1964076,3337156,5428601,5452690,5452693,5428433,5428429,5446146,3350610,3350614,5450455,8441059,8436429,8436430,5494809,5494808,8424588,5444144,3346814,3333388,3333390,5422471,5599379,3475705,2062276,2062273,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,1970244,1124979,630930,350315,191972,104784,104785,191813,349992,629346,1120686,1122166,1120800,1120798,1962074,3336251,1963815,1963817,3339508,3339514,3343475,3343476,3338106,1963059,254135791,629087,1121283,1125353,1970942,3352590,5453491,8444583,12474805,17647404,23991969,31489210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13511796, s2 = 223514, dlinesl.size( ) = 20 s1 = 11209909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209909, s2 = 11478990, int(edited[s2]) = 0 s1 = 11209909, s2 = 11478990, d1 = 20, d2 = 9 Dl.O(d1) = 71322999,258062212,256871616,15490229,15490230,21144578,21144577,22213781,16082200,16082199,255894329,38124796,46420695,36557338,28088012,28088011,36557336,43919129,34646070,34646068,270289898 Dl.O(d2) = 194782494,263855834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209909, s2 = 11478990, dlinesl.size( ) = 28 s1 = 11209959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11210363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11210363, s2 = 11331130, int(edited[s2]) = 0 s1 = 11210363, s2 = 11331130, d1 = 16, d2 = 20 Dl.O(d1) = 256361772 Dl.O(d2) = 259961840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11210363, s2 = 11331130, dlinesl.size( ) = 28 s1 = 11210745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16213292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14112351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112351, s2 = 8665063, int(edited[s2]) = 0 s1 = 14112351, s2 = 8665063, d1 = 59, d2 = 54 Dl.O(d1) = 177564441,167058598,155418699,142837494,260363410,167058597,167872473,156288400,143763436,143763437,156288402,167872478,174228566,174228569,261600424,167872474,178303669,167872470,167872471,178303671,187508529,187354370,183897992,183897991,186852349,191589718,191589719,194946305,186852766,177564855,177564856,186852767,194946308,263056454,183898001,174228572,163376279,151492777,151492775,153243383,153243381,165060962,175791171,177564817,177564815,186852727,193598409,200709198,199668987,192372430,186852713,177564796,167059020,155419039,142837738,129520643,115635447,101594920,87627631,87627629,101594884,101594881,107945639,93508153,93508154,107945641,273044722,261600426,156288414,143763446,142837415,142837414,155418589,149622674,149622672,153243418,140561890,127216050,127216048,136356544,136356547,149622558,155418528,167058390,167058448,174228180,163375700,163375698,167058740,155418817,155418815,155419062,142837750,129520653,115635449,101594920,87627631,87627629,101594914,115635431,129520612,260363446,155418545,155418546,167058408,177564253,174228172,167058740,155418817,142837582,129520540,129520541,142837584,260960508,175791048,175791050,185301564,193598412,186852216,177564166,167058322,155418487,155418488,261527426,174227986,167871676,156287749,143763006,136356412,122372196,122372197,136356413,149622414,156288209,143763427,130436665,116594467,102492667,102492664,116594457,130436655,130436676,142837415,142837414,155418589,149622674,149622672,153243418,140561890,140561889,153243411,165060988,175791196,177564184,167058343,155418498,142837356,129520392,115635302,101594843,87627598,87627599,101594846,115635308,129520401,142837374,155418531,167058393,177564233,186852286,186852552,186852551,186852262,186852261,186852577,177564611,177564610,183897831,177564658,177564656,177564777,186852490,177564496,167058642,167058641,167871665,156287739,261047006,261047100,156288086,167872092,178303310,187508520,262610002,187508177,187508176,191589877,191589878,191589876,182956386,261600452,167872562,178303744,186852522,262554958,178302976,178302977,187508205,178302920,177564334,177564336,183897884,174228331,174228330,178303003,262555066,186852777,178303045,178303044,261690182,194946086,194946087,195520758,187508664,262610028,174228542,163376234,163376233,174228539,167872491,161920111,161920112,167872555,178303736,262345222,167872391,156288415,143763446,142837415,142837414,155418589,261600448,140561891,127216050,127216048,136356544,136356547,149622558,155418528,167058390,167058449,262060914,261600192,156287772,143763023,130436427,116594322,102492584,102492583,88486002,88486003,102492588,116594329,130436432,260467500,143763429,130436665,116594467,102492667,102492664,116594457,130436654,143763404,156288200,167872217,178303434,187508595,191590020,194946194,186852586,177564619,167058755,156287912,143763110,130436474,116594349,116594350,130436477,143763114,261047046,178303114,178303460,178303459,262610002,187508177,178302891,178302892,187508179,187354377,178121832,167662599,167662598,178121828,178121813,261140898,177564334,177564336,186852355,185301694,175791204,165060997,153243420,140561891,127216050,127216048,136356544,136356547,149622558,155418528,167058390,167058448,174228180,163375700,163375698,167058740,155418817,155418815,155419062,142837750,129520653,129520652,129520626,129520597,129520595,136355911,122371827,122371829,136355917,149621828,143763088,143763090,156287882,167871781,177564364,177564363,186852379,177564741,177564742,178302913,167872113,261600308,178303640,167872437,167872435,178303638,187508748,263056360,262122738,167871788,156287829,143763055,130436439,116594334,259247046,271750472,261600208,177564644,167058776,167058777,156288394,259865952,102492668,88486046,88486047,258620912,130436676,142837415,142837414,155418589,149622674,149622669,161920109,173071997,262122888,187354389,260722834,167662610,178121846,174228024,163375696,163375699,174228174,167872479,167872480,178303680,185301599,175791087,165060880,165060881,261047022,143763042,143763046,156287809,156288135,143763346,130436613,116594428,102492648,102492649,102492636,102492635,116594392,130436554,143763244,142837687,259113280,115635424,129520594,129520595,136355911,122371827,122371829,136355912,149621821,161919304,173071370,182956132,177564421,177564422,167058775,167058774,177564640,186852599,193598517,200709240,205841293,262687394,195520813,191589867,191589866,191589773,182956223,173071513,173071512,182956221,191589772,194946199,194946198,194946214,272901766,273711495,185301558,177564405,167058554,155418657,142837463,129520463,115635352,115635353,129520466,260960466,177564422,177564642,186852597,186852599,185301720,259344686,259344688,167872276,156288239,261047140,173071837,161919955,149622545,136356538,122372298,122372299,136356547,149622558,155418528,167058390,167058448,174228180,163375700,163375698,167058740,155418817,155418815,155419062,142837750,129520653,115635449,101594920,87627631,87627629,101594884,101594882,115635382,129520528,142837565,130436452,130436455,143763083,143763044,143763046,156287809,156288135,143763346,130436690,130436691,143763473,156288451,167872162,167872536,178303351,178303350,173071873,161919988,149622579,149622578,161919985,173071868,182956463,191589937,199010558,263416484,191589910,263056366,187508297,262352742,262352740,192372422,199010525,191589868,262122880,173071734,178303358,186852651,187508299,178303031,178303030,186876970,177589508,167083532,260275042,156288316,156288315,270907356,153698472,141032961,258272890,156054218,260134426,130187390,116348430,116348431,130187391,270389644,130191705,127685559,116348429,102253525,102253526,116348432,116348694,102253782,102253783,116348213,116348212,130187213,116348453,102253542,88254922,88254923,88254912,88254908,102253529,116348436,130187397,130191138,143520662,141032962,127685563,113818325,99804947,256127828,88261156,102253570,88254944,74624349,74624350,258895254 Dl.O(d2) = 187508672,191589946,182956476,173071888,173071887,165060742,165060741,175790942,185301488,186852684,177564759,167058913,155418954,142837669,129520588,115635415,101594905,87627625,87627629,101594884,101594882,115635382,129520528,142837565,130436452,130436455,143763083,143763044,143763046,156287809,156288135,143763346,143763342,156288267,261600382,174228330,178303003,167871794,167871793,178302999,183898005,183898006,262609924,187508401,195520615,263008268,261527468,259744782,129520430,142837418,155418591,261527466,262554888,263416466,264114272,263987478,201872952,194945990,186852224,177564177,167058477,167058478,177564341,186852364,194946075,192882045,187508353,178303097,178303098,261527450,167058419,272440248,167058927,177564780,186852699,178303608,167872397,167872249,167872248,261140902,195520723,195520609,262122790,167871944,167871943,178303169,187508401,262554890,264273551,201872991,195520773,195520775,262609862,178302926,178302925,186852732,178303243,167872026,156288025,156288026,262122814,194946315,262061078,167059023,155419040,142837738,129520643,115635447,101594920,87627631,87627629,101594884,101594885,115635389,129520539,142837405,142837404,138790743,138790744,138790745,138790746,151492222,143763058,143763057,156287831,155418774,155418775,167058683,167058985,260467576,271750484,167872265,262122896,194946109,186852426,177564414,167058566,155418664,155418663,167058563,167871869,156287901,143763103,130436469,259865894,264305401,201873050,194946182,186852560,177564588,174228165,174228164,167871693,156287763,143763018,130436423,116594319,116594318,130436422,143763017,156287762,167871692,178302896,187508183,178303107,167871885,167871884,173071601,167058675,155418766,155418765,272440240,165060966,165060965,175791173,185301662,191589963,182956502,173071918,161920029,262554948,177564520,167058816,155418878,142837621,129520561,129520560,142837615,142837522,129520496,115635367,101594873,101594874,115635356,129520474,129520582,116594472,259247078,271750494,262122964,187508659,187508660,262687350,178303005,167871795,156287837,143763059,143763062,155418680,259963210,260363416,167058627,177564478,262554938,167872372,156288311,143763366,143763367,262122936,178303007,178303008,186852635,194946221,263008354,142837696,260363444,167058843,262061016,194946232,201873070,263416468,194946092,262060946,167058521,155418631,142837450,129520449,115635341,101594862,87627606,269579202,259113262,259344672,259344674,186852383,194946087,195520758,195520757,262687370,177564876,177564875,185301543,175791023,165060821,153243244,153243243,165060820,175791021,185301541,191589890,262554918,186852405,178303010,167871796,156287837,143763059,143763062,156287841,167058629,263612721,263416488,201873001,194946096,186852394,186852393,263416470,200709231,195520805,195520806,194946172,186852542,177564561,167058708,261527530,177564224,167058385,261527442,177564445,260960474,142837500,142837501,155418700,155419010,155418929,142837658,142837657,155418923,167058875,167871775,178302977,187508205,178302920,177564334,177564336,183897884,174228331,174228330,178303003,167871794,167871793,178302999,185301574,185301575,193598422,200709201,193598460,193598459,200709217,206708558,200709223,199010543,193598486,193598485,187508251,187508250,182956598,173072063,167058974,155419000,155419001,156287915,167871887,173071353,173071352,178302939,178302940,182956114,191589721,262609870,178302936,167871729,167871728,177564488,177564487,178303461,167872257,261140884,165060969,165060968,175791176,185301668,186852250,194946004,262122840,261047106,143763230,143763229,156288098,167058820,155418881,155418880,143763324,143763325,156288247,261600368,187508631,187508402,178303172,167871945,261600256,187508406,194946192,195520699,187508554,178303360,167872147,167058989,167058988,177564856,186852767,194946308,263056454,183898001,174228572,163376279,151492777,151492775,153243383,153243382,262554910,161919593,173071581,182956268,263416474,202373407,195520535,187508217,187508218,194946269,195520569,195520568,194946250,261690152,167058890,167872569,262122992,187508672,191589946,182956476,173071888,173071887,165060742,165060741,175790942,185301488,186852684,177564759,177564760,186852690,178121842,167662607,167662608,167058789,155418856,155418855,262061000,194946207,263783850,264672534,182956138,182956137,191589741,194946002,186852248,177564203,177564202,186852246,186852264,194946018,195520522,187508781,186852463,177564464,167058619,167058620,177564466,186852468,194946132,187508730,186852319,178303391,167872166,167872165,173071355,173071354,182956114,191589721,262609870,178302936,167871729,167871728,177564488,177564487,178303461,167872257,156288222,156288223,262122894,186852252,178303571,178303570,262122924,194946196,194946197,263056476,262122926,182956508,173071927,173071928,182956257,272510676,271750486,127215893,116594438,116594439,130436626,143763359,156288300,261600392,175790941,165060740,165060741,175790942,185301488,186852684,177564759,177564760,186852690,178121842,167662607,167662608,167058789,155418856,155418857,142837645,142837646,142837711,142837712,155419010,155418929,155418925,262060974,260960484,155418723,142837728,142837711,142837712,155419010,155418929,142837658,142837657,155418923,167058875,167871775,178302977,187508205,178302920,177564334,177564336,183897884,174228331,174228330,178303003,167871794,167871793,178302999,185301574,185301575,193598422,200709201,193598460,193598459,200709217,206708558,200709223,199010543,193598486,193598485,187508251,187508250,182956598,173072063,167058974,155419000,155419001,156287915,167871887,173071353,173071352,182956112,182956107,182956106,191589715,186852605,177564649,177564648,262554992,187508543,187508541,185301485,175790941,165060740,165060741,175790942,185301488,186852684,177564759,177564760,186852690,187354385,185301670,175791177,165060969,165060968,272200186,262206874,262687356,263008296,201873057,202373485,202373486,201873063,194946205,186852607,186852606,194946204,262687388,194946070,186852357,183897884,174228331,174228330,178303003,167871794,167871793,178302999,183898005,174228574,163376279,151492777,151492775,153243383,153243381,165060962,175791171,185301657,186852281,177564230,262060894,187508765,178303648,178303647,187508764,195520619,195520743,187508630,187508631,187508402,178303172,167871945,261600256,187508406,194946192,195520699,187508554,178303360,173071983,161920095,149622654,149622656,161920096,167872181,178303396,178303395,262609974,186852458,177564458,177564457,186852457,194946126,194946236,187508726,178303603,178303602,187508725,194946305,186852766,177564855,177564856,186852767,194946308,263056454,183898001,174228572,163376279,151492777,151492775,153243383,153243381,165060959,175791161,261600404,167872390,178303598,187508711,261600400,167872382,156288327,143763377,130436639,116594447,116594446,130436636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14112351, s2 = 8665063, dlinesl.size( ) = 26 s1 = 16400645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16400645, s2 = 6711652, int(edited[s2]) = 0 s1 = 16400645, s2 = 6711652, d1 = 49, d2 = 36 Dl.O(d1) = 255853558,256888168 Dl.O(d2) = 257604648,59711898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16400645, s2 = 6711652, dlinesl.size( ) = 44 s1 = 11211061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211061, s2 = 15088361, int(edited[s2]) = 0 s1 = 11211061, s2 = 15088361, d1 = 12, d2 = 9 Dl.O(d1) = 258024872,21695869,21695871,21634693,15603071,10794276,7131621,5287452,3239233,1900452,1900451,3239231,5287448,8217594,12187363,17311752,17267260,16769942,11724361,7827040,254807249,16769945,21260932,15297517,15297518,17161114,12064662,8112372,5197308,3170984,3170985,3792206,4373885,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752420,1315496,750794,750796,427173,427174,751957,1317995,2272672,3794137,6064059,9258785,13528033,18935675,13500167,13500168,10589486,10589487,15332398,17165125,12068894,12068893,13526547,11720395,11720396,11721836,267908233,3218004,254261835,1081859,267771037,3198834,1872593,1872594,3198835,3221992,3221995,3222075,1888428,1077517,1077514,1887336,1076817,1076819,606766,606765,1080318,1067131,1067129,1870739,1079387,606258,606254,1079371,1891453,3226231,5271775,254518947,4606072,5301307,3251994,1909656,1909657,1919208,1096301,1096300,1919202,3265229,5316042,4962466,2996991,1740546,989073,989072,1740532,2996959,4962409,7820265,255954495 Dl.O(d2) = 259491278,28067985,25255112,18684335,13291397,9073995,254910871,7060987,6786116,6786117,5934106,3710442,3710443,5934108,8472701,5476741,3370167,3370166,2532050,1459119,254117647,262496,262497,466415,826030,1385607,1385608,2394353,3995451,6367505,9681160,14075967,13456302,9202175,8495517,5496772,5496776,8495535,12533978,17717525,24074038,31579647,24364149,22311803,22311802,29664011,29717216,22361203,16208225,11267115,7479476,7479475,11267111,16208217,22361197,29717210,27251073,20318347,17486807,17486809,18879161,18879162,25481469,33230177,255015446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211061, s2 = 15088361, dlinesl.size( ) = 14 s1 = 11157771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11211289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15995504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15995504, s2 = 11211290, int(edited[s2]) = 0 s1 = 15995504, s2 = 11211290, d1 = 7, d2 = 5 Dl.O(d1) = 22350716,22350715,29705536,38271975,48181251,59567221 Dl.O(d2) = 99848664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15995504, s2 = 11211290, dlinesl.size( ) = 2 s1 = 15995504, s2 = 11211290, "passes" = passes Sat Dec 09 04:19:13 2017: s1 = 15995504, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11211497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211497, s2 = 11412398, int(edited[s2]) = 0 s1 = 11211497, s2 = 11412398, d1 = 13, d2 = 7 Dl.O(d1) = 259336849,260555793 Dl.O(d2) = 263121467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211497, s2 = 11412398, dlinesl.size( ) = 8 s1 = 11212045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212045, s2 = 11164252, int(edited[s2]) = 0 s1 = 11212045, s2 = 11164252, d1 = 13, d2 = 11 Dl.O(d1) = 71832664,59092718,256906347 Dl.O(d2) = 255434583,4576503,2753461,254167807,947938,1666490,1666491,2871445,4736399,2854381,2854382,4736400,7493141,10796606,7295502,7295504,11019892,10962457,10961898,10961899,15613591,10802722,7137903,4493981,2699998,2699996,4493973,7135217,7135215,7164981,7164980,7316045,7316046,7245324,4568032,4568034,7137140,4493424,4493427,7132558,7133872,4491387,4491385,7133868,10792822,7411196,7134677,7134679,10798338,11034493,11310302,7509112,7509110,4746874,2860714,2860712,3294675,5359731,8306947,12299557,17448547,17254272,12134512,8164601,7510046,4747149,2860881,1660375,944760,944761,1660380,2860893,4747174,7510099,11311445,10838872,10838873,12134628,12134627,15605535,10836741,10836742,7712018,4880720,2940809,1705351,1705350,2940804,4880706,7711993,11586210,15816230,15816231,21894104,28979816,25359049,23589365,23589364,29749108,22389288,21692281,15652130,15652131,21692283,21060715,15606132,15606133,15655690,255854215,255912913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212045, s2 = 11164252, dlinesl.size( ) = 8 s1 = 11212047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212047, s2 = 11186694, int(edited[s2]) = 0 s1 = 11212047, s2 = 11186694, d1 = 0, d2 = 3 Dl.O(d1) = 71832913,256364542 Dl.O(d2) = 59092993,256364542,47694569,268626783,15818697,10962561,7256459,7256460,10962566,15818705,21897288,29211409,29211340,21897239,21897238,20073980,14391272,9897317,6504508,6504510,9897323,14391286,20074006,26041854,31189239,31189238,39871970,37773080,29211219,256364525,47694398,59092857,67831865,55490665,257324910,57977134,55490662,44640746,35256279,27157258,27157259,28610920,28610905,21375681,21375682,28610907,37121363,40866459,32094813,254701078,12823939,8718723,5675130,4095667,4095668,5675002,5675000,8718437,5674998,3529697,2100617,2100614,3529683,5674967,8718382,12823368,18087985,23868965,23868966,22326747,255903805,256942199,59538178,72271955,85863447,98330107,98330094,84420756,258031225,58149383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212047, s2 = 11186694, dlinesl.size( ) = 2 s1 = 11212047, s2 = 11186694, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11212047, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 15181237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212331, s2 = 14076662, int(edited[s2]) = 0 s1 = 11212331, s2 = 14076662, d1 = 1, d2 = 1 Dl.O(d1) = 71884722,71884719,71884720,74315191,74315190,87918657,87918656,74315188,61538557,50060233,256523057,268680637,50060235,50060245,61538565,71884725,74493906,268660140,60684426,73432386,74315156,72063654,72063655,258204738,85452663,258535668,99393497,99393496,99600740,270362574,101892787,258535670,85452666,74315189,73169082,73169080,71867648,71867645,71867653,71867654,85452665,85650873,73373847,60628216,60628215,73373845,60628210,59329406,47937729,38024033,38024032,37808580,37808579,47730608,59129280,269638776,59329405,47937742,38024041,29462000,22127405,16012711,16012710,22127403,29461996,38024031,269335657,60628213,59244119,59244118,59244132,59244134,71867677,71867678,71867643,71867641,71981246,59244080,47847579,37927708,37927709,47847581,59244123,71867640,60628212,256475754,37927739,37927740,47847613,59244161,62050661,50558331,50558332,47847600,47847599,59244149,59244117,59244116,71981271,257020478,47847557,37927694,29361228,29361229,37927696,47847559,37927704,37927705,256475744,37927745,37927743,37927720,29361243,29361242,37927718,29361259,22030566,15929222,15929223,22030568,29361264,37927724,47847596,59244143,59244152,47847601,37927728,29361250,22030558,15929217,11052319,254564974,22030560,22030548,22030547,22030572,15929224,15929225,22030574,29361266,37927749,37927677,29361214,29361215,37927680,47847540,59244082,59244084,59244095,59244158,59244104,47847565,37927698,29361232,22030545,15929209,11052314,11052317,15929214,22030549,29361238,37927714,39088670,30491912,23078319,255959317,29361223,29361221,37927684,256475738,59244168,47847619,37927750,29361270,29361271,30491906,23078317,23078316,30491903,39088664,47847586,59244130,71981277,59244174,47847621,37927753,37927754,256460137,255514525,11766233,11766234,11766236,16826208,23078322,30491918,39088680,49018480,60422384,61421420,257585097,49018463,60422368,73169073,74199999,258208714,74200023,74200022,87803571,74199995,61421422,49943373,39925639,31249975,23765479,17437551,255558317,256513883,49943382,61421429,61421461,74199987,258251839,39925650,31249979,23765480,23765481,31249982,39925652,49943391,40210682,31524680,31524681,40210684,49326208,49326209,40210695,31524688,256535903,50231674,48168503,269341031,48168487,50231648,50231608,40210634,31524632,31524633,39925675,256918378,38489081,48168482,48168481,40210630,31524630,31524629,39925674,31249997,29693250,22340194,22340195,29693252,38258893,31249984,31249983,39925654,31524672,31524671,40210671,38258916,38258915,38258920,29693271,22340209,16192073,16192074,22340213,256401359,37642735,37642734,47548968,58931274,61711871,59555270,48168495,38258912,31524635,24022779,24022780,31524637,29693257,22340199,16192066,16192067,22340202,29693262,38258905,48168485,40210668,38258923,38258924,31524690,24022821,17673047,12497485,8465410,5471259,5471258,254863073,11255681,16192076,22340217,29693282,38258864,48168425,48168506,48168432,38258866,29693231,29693229,268690202,256943489,40210644,50231614,256943485,38258870,40210636,31524640,31524639,31056415,23572741,23572740,31056412,39734609,49753319,61232321,62050972,62050971,74849138,87034399,270356847,60669797,49269791,39344109,39344108,49269788,47656137,47656139,271289652,59056566,47656146,37734420,29173698,21863590,15790680,15790681,21863594,17058430,11967069,8011059,5099956,3095531,3095532,5099960,8011068,11967085,255530569,30745005,39344159,30744987,23323963,23323964,30744989,39344160,47499058,37594924,29047151,21753788,21753787,29047148,31824976,40521955,47044964,47044965,49269833,39344162,39344153,30744982,30744981,30744995,23323968,23323967,256353303,21753790,15700156,10868601,10868600,15700153,21753777,255859729,37594912,257106347,31824978,31824979,40521932,40521931,50558317,40521995,40521996,39344167,30744992,30744993,39344169,49269842,40522177,256353309,21753793,255052747,7186002,4527134,4527133,7186000,10868599,15700151,21753786,24308224,24308225,24307950,24307949,24307941,24307940,17923628,12699464,254618783,5610137,8627810,12699466,17923634,256050501,31825167,24308113,268244469,11984690,17072818,23338963,30761808,39363001,40521923,31824948,31824947,24308233,17923799,12699577,8627871,5610171,3484412,2068930,1187849,667348,667347,1187847,2068923,3484399,5610156,8627845,12699536,17923740,17923752,17923658,17923656,24308040,31825062,24308175,17923762,254878807,5610163,3484404,2068927,2068926,3484402,5610159,8627850,12699543,17923713,12699514,12699515,17923715,24308124,31825175,31825027,24308006,17923623,12699459,8627804,5610133,5610132,268005909,17923621,17923666,12699488,12699487,17923664,24308051,31825076,257106359,62050747,74848933,268673152,255546142,35078260,35078259,44453189,55297669,67635514,81101050,95158854,84375210,84375209,270376034,84375205,84375204 Dl.O(d2) = 71884722,71884719,71884720,74315191,74315190,87918657,87918656,74315188,61538557,50060233,256523057,268680637,50060235,50060245,61538565,71884725,74493906,268660140,60684426,73432386,74315156,72063654,72063655,258204738,85452663,258535668,99393497,99393496,99600740,270362574,101892787,258535670,85452666,74315189,73169082,73169080,71867648,71867645,71867653,71867654,85452665,85650873,73373847,60628216,60628215,73373845,60628210,59329406,47937729,38024033,38024032,37808580,37808579,47730608,59129280,269638776,59329405,47937742,38024041,29462000,22127405,16012711,16012710,22127403,29461996,38024031,269335657,60628213,59244119,59244118,59244132,59244134,71867677,71867678,71867643,71867641,71981246,59244080,47847579,37927708,37927709,47847581,59244123,71867640,60628212,256475754,37927739,37927740,47847613,59244161,62050661,50558331,50558332,47847600,47847599,59244149,59244117,59244116,71981271,257020478,47847557,37927694,29361228,29361229,37927696,47847559,37927704,37927705,256475744,37927745,37927743,37927720,29361243,29361242,37927718,29361259,22030566,15929222,15929223,22030568,29361264,37927724,47847596,59244143,59244152,47847601,37927728,29361250,22030558,15929217,11052319,254564974,22030560,22030548,22030547,22030572,15929224,15929225,22030574,29361266,37927749,37927677,29361214,29361215,37927680,47847540,59244082,59244084,59244095,59244158,59244104,47847565,37927698,29361232,22030545,15929209,11052314,11052317,15929214,22030549,29361238,37927714,39088670,30491912,23078319,255959317,29361223,29361221,37927684,256475738,59244168,47847619,37927750,29361270,29361271,30491906,23078317,23078316,30491903,39088664,47847586,59244130,71981277,59244174,47847621,37927753,37927754,256460137,255514525,11766233,11766234,11766236,16826208,23078322,30491918,39088680,49018480,60422384,61421420,257585097,49018463,60422368,73169073,74199999,258208714,74200023,74200022,87803571,74199995,61421422,49943373,39925639,31249975,23765479,17437551,255558317,256513883,49943382,61421429,61421461,74199987,258251839,39925650,31249979,23765480,23765481,31249982,39925652,49943391,40210682,31524680,31524681,40210684,49326208,49326209,40210695,31524688,256535903,50231674,48168503,269341031,48168487,50231648,50231608,40210634,31524632,31524633,39925675,256918378,38489081,48168482,48168481,40210630,31524630,31524629,39925674,31249997,29693250,22340194,22340195,29693252,38258893,31249984,31249983,39925654,31524672,31524671,40210671,38258916,38258915,38258920,29693271,22340209,16192073,16192074,22340213,256401359,37642735,37642734,47548968,58931274,61711871,59555270,48168495,38258912,31524635,24022779,24022780,31524637,29693257,22340199,16192066,16192067,22340202,29693262,38258905,48168485,40210668,38258923,38258924,31524690,24022821,17673047,12497485,8465410,5471259,5471258,254863073,11255681,16192076,22340217,29693282,38258864,48168425,48168506,48168432,38258866,29693231,29693229,268690202,256943489,40210644,50231614,256943485,38258870,40210636,31524640,31524639,31056415,23572741,23572740,31056412,39734609,49753319,61232321,62050972,62050971,74849138,87034399,270356847,60669797,49269791,39344109,39344108,49269788,47656137,47656139,271289652,59056566,47656146,37734420,29173698,21863590,15790680,15790681,21863594,17058430,11967069,8011059,5099956,3095531,3095532,5099960,8011068,11967085,255530569,30745005,39344159,30744987,23323963,23323964,30744989,39344160,47499058,37594924,29047151,21753788,21753787,29047148,31824976,40521955,47044964,47044965,49269833,39344162,39344153,30744982,30744981,30744995,23323968,23323967,256353303,21753790,15700156,10868601,10868600,15700153,21753777,255859729,37594912,257106347,31824978,31824979,40521932,40521931,50558317,40521995,40521996,39344167,30744992,30744993,39344169,49269842,40522177,256353309,21753793,255052747,7186002,4527134,4527133,7186000,10868599,15700151,21753786,24308224,24308225,24307950,24307949,24307941,24307940,17923628,12699464,254618783,5610137,8627810,12699466,17923634,256050501,31825167,24308113,268244469,11984690,17072818,23338963,30761808,39363001,40521923,31824948,31824947,24308233,17923799,12699577,8627871,5610171,3484412,2068930,1187849,667348,667347,1187847,2068923,3484399,5610156,8627845,12699536,17923740,17923752,17923658,17923656,24308040,31825062,24308175,17923762,254878807,5610163,3484404,2068927,2068926,3484402,5610159,8627850,12699543,17923713,12699514,12699515,17923715,24308124,31825175,31825027,24308006,17923623,12699459,8627804,5610133,5610132,268005909,17923621,17923666,12699488,12699487,17923664,24308051,31825076,257106359,62050747,74848933,268673152,255546142,35078260,35078259,44453189,55297669,67635514,81101050,95158854,84375210,84375209,270376034,84375205,84375204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212331, s2 = 14076662, dlinesl.size( ) = 2 s1 = 11212331, s2 = 14076662, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11212331, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 14076661, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8333413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8333413, s2 = 12692945, int(edited[s2]) = 0 s1 = 8333413, s2 = 12692945, d1 = 19, d2 = 8 Dl.O(d1) = 25109106,18559791,267772822,9786052,7072731,7072727,9947853,9947848,10705521,15481187,13333132,13333126,13585931,13202314,9000228,5875943,3668842,3668838,5875924,5875918,5875922,9000188,9786316,14235918,19869552,26688677,34682868,43957941,54701995,66961317,80391618,94451205,257494408,54701996,54701995,269332488,94451209,271327144,272202588,113804690,113804691,259971624,271327144,272202588,113804690,113804691,127672617,136844416,149978350,259971622,123013546,260571700,127672612,127672613,141020652,136844420,123013550,108744567,259353370,99790868,270322171,72246276,85838155,99790871,113804693,261171735,127672615,127672614,127672619,260571702,85838157,72246277,59511753,48124231,256397561 Dl.O(d2) = 260791768,112635891,126501023,260624880,101075704,87079649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8333413, s2 = 12692945, dlinesl.size( ) = 2 s1 = 8333413, s2 = 12692945, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8333413, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 14587020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9130889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212857, s2 = 10550375, int(edited[s2]) = 0 s1 = 11212857, s2 = 10550375, d1 = 31, d2 = 28 Dl.O(d1) = 257499011 Dl.O(d2) = 256298560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212857, s2 = 10550375, dlinesl.size( ) = 48 s1 = 11213023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213023, s2 = 16201464, int(edited[s2]) = 0 s1 = 11213023, s2 = 16201464, d1 = 8, d2 = 6 Dl.O(d1) = 72003992 Dl.O(d2) = 59267773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213023, s2 = 16201464, dlinesl.size( ) = 2 s1 = 11213023, s2 = 16201464, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11213023, Dl.E( ) = 28, 1.31e-05 seconds used appending s1 = 16201463, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14032524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14032524, s2 = 8074193, int(edited[s2]) = 0 s1 = 14032524, s2 = 8074193, d1 = 11, d2 = 17 Dl.O(d1) = 74502213,88113653,78693916,78693915,74704847,61911465,50421198,50421200,49313768,39386124,39386123,42268435,33288258,25527864,23324052,22424888,17800740,255192696,29091570,37642058,37062652,37062651,46941593,58307988,71023490,58307936,46941517,254872290,59650065,50310754,40289488,31605869,31605868,29877922,22521300,16348101,11375659,11375658,16348096,22521297,29877932,31189887,31565025,30197668,30197669,38782169 Dl.O(d2) = 40471039,31776319,31776318,40471035,36794192,34693638,267992852,34082618,26222071,26222072,30544995,30544965,30544967,36794220,28297135,28297136,36794223,46680295,47382586,37475258,28933736,21656019,15620951,15620952,21656021,28933738,37475262,43968869,34693644,34693643,43864550,46680378,49813143,39792576,31112079,23625660,17310059,17310058,22080590,15974982,11089650,11089651,15974984,11798465,11798463,16866855,255963277,39143482,49073715,39792555,255993330,32304386,24692399,24692402,23546059,268216188,21089617,15148914,10447935,254491167,2587050,2587049,4324073,6887663,10447932,15148908,21089586,15148892,10808055,10808054,10808056,15620960,21089571,21089572,28297167,32304409,24692417,24692416,32304407,41116170,51297261,41116142,32304381,32304382,36794251,28297155,28297156,36794253,46680314,58054789,70772979,255544010,49722857,49722859,58054783,70472138,62973852,57662446,57662445,70352265,83877161,97736140,99568569,85617981,72029345,72029346,61437626,49959772,47897639,37980384,37980383,47897637,268672378,74163008,268249506,58054810,46680342,36794278,28297175,21089578,21089579,24833607,24833606,29417244,29417243,37980145,47897402,47897616,37980366,29417430,29417432,32473506,32473504,37980677,47897628,254577702,51265315,59292947,49813147,39792584,31112085,23625664,254132080,30437482,30437483,29315379,29315378,37475301,37475300,37980285,29417358,22086889,15980545,15980546,254577732,37980674,47897896,59292846,72029225,72029555,61202703,256497142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14032524, s2 = 8074193, dlinesl.size( ) = 2 s1 = 14032524, s2 = 8074193, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14032524, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 8074192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11213353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213353, s2 = 11435936, int(edited[s2]) = 0 s1 = 11213353, s2 = 11435936, d1 = 24, d2 = 22 Dl.O(d1) = 259981499,127485416 Dl.O(d2) = 193750916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213353, s2 = 11435936, dlinesl.size( ) = 34 s1 = 15227252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13516424, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13516424, s2 = 14104378, int(edited[s2]) = 0 s1 = 13516424, s2 = 14104378, d1 = 9, d2 = 13 Dl.O(d1) = 72114126,259985595 Dl.O(d2) = 187012883,273575659,167237736,155606881,143057504,129726873,115827719,259498919,74205943,257643579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13516424, s2 = 14104378, dlinesl.size( ) = 2 s1 = 13516424, s2 = 14104378, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13516424, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11213683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213683, s2 = 10979602, int(edited[s2]) = 0 s1 = 11213683, s2 = 10979602, d1 = 6, d2 = 4 Dl.O(d1) = 254935084,254148818 Dl.O(d2) = 776575,776571,1362516,1359512,1359511,2347010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213683, s2 = 10979602, dlinesl.size( ) = 10 s1 = 14096048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13516638, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11213915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213915, s2 = 11178516, int(edited[s2]) = 0 s1 = 11213915, s2 = 11178516, d1 = 25, d2 = 3 Dl.O(d1) = 272317268,127604497,261688950 Dl.O(d2) = 91704943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213915, s2 = 11178516, dlinesl.size( ) = 26 s1 = 11213917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213917, s2 = 11399538, int(edited[s2]) = 0 s1 = 11213917, s2 = 11399538, d1 = 30, d2 = 17 Dl.O(d1) = 257513107,38129088,38129087 Dl.O(d2) = 127604776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213917, s2 = 11399538, dlinesl.size( ) = 22 s1 = 11214071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214071, s2 = 11296148, int(edited[s2]) = 0 s1 = 11214071, s2 = 11296148, d1 = 23, d2 = 95 Dl.O(d1) = 72198422 Dl.O(d2) = 259535759 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13516828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214111, s2 = 11116140, int(edited[s2]) = 0 s1 = 11214111, s2 = 11116140, d1 = 85, d2 = 99 Dl.O(d1) = 257528864,22248046,268401995,24511510,20806457,20806459,27969490,20806453,20806454,27969494,24511614,18082085,12819435,8716015,8716014,12819432,18082080,24511608,257124621 Dl.O(d2) = 49730867,49730866,261290249,258882213,101864633,263973959,264993344,262719990,270324036 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214331, s2 = 11393746, int(edited[s2]) = 0 s1 = 11214331, s2 = 11393746, d1 = 36, d2 = 33 Dl.O(d1) = 72242867,255627972,254897756,22291731,16147245,11218033,269339843 Dl.O(d2) = 273828988,273060679,150543891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214331, s2 = 11393746, dlinesl.size( ) = 18 s1 = 3497073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214543, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11214657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214729, s2 = 11477690, int(edited[s2]) = 0 s1 = 11214729, s2 = 11477690, d1 = 12, d2 = 7 Dl.O(d1) = 256812780,97803851 Dl.O(d2) = 273084048,263826031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214729, s2 = 11477690, dlinesl.size( ) = 2 s1 = 11214729, s2 = 11477690, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11214729, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11214867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214867, s2 = 11197172, int(edited[s2]) = 0 s1 = 11214867, s2 = 11197172, d1 = 23, d2 = 20 Dl.O(d1) = 260003439,127786152,272862050,273549751,274194793 Dl.O(d2) = 226739040,224669275,263973100,272899892,271392720,154713745,142074445,257649484,73169008,255174234,16826120,11766149,11766148,9950840,6539944,4097397,2451188,2451189,4097401,6539950,6542063,9954120,9958022,9958021,14473003,255332826,14463210,9950560,9950561,12656506,9959135,6545458,4100684,4100685,6545463,9957378,9952301,9952302,9948947,9948948,9948909,9948907,7173760,7173755,8313826,6545775,6545777,254979731,9949201,9949203,9957197,6544309,6544310,9957202,7857451,7857450,9957280,6544353,4100068,2452640,1417917,1417916,2452636,4100054,6544333,9957253,14466092,16830397,15674509,10851235,10851237,15674516,21718472,19232973,19232974,25892395,33698348,35135391,27049707,20156827,20156826,27049705,35135387,44512313,37983379,33922053,26088631,19399210,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,19398802,19398803,13876123,9519131,6243169,3908202,2340219,2340217,3908185,3908222,6243203,9519187,13876206,15368113,10618616,7007629,7007630,9414244,13740825,19233056,25892492,33698376,25892429,25892430,33698378,38511284,29947606,26088287,26088286,33921710,32132367,256577887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214867, s2 = 11197172, dlinesl.size( ) = 26 s1 = 14623779, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15594258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215123, s2 = 10441224, int(edited[s2]) = 0 s1 = 11215123, s2 = 10441224, d1 = 18, d2 = 17 Dl.O(d1) = 258702860 Dl.O(d2) = 141227784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215123, s2 = 10441224, dlinesl.size( ) = 20 s1 = 8397987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8397987, s2 = 12425649, int(edited[s2]) = 0 s1 = 8397987, s2 = 12425649, d1 = 4, d2 = 11 Dl.O(d1) = 33853719,33853717,33853718,42898734,42898733,48184726,59570770,53364908,53364907,65368831,78673513,258832450,87060280,73442669,73442668,84592242,84592241,98517537,98517536,269843632,84592228,84592227,270109886,60694744,49293262,257606417,60694697,60694696,258209478,84592231,269780468,87060272,257601784,60694703,58312157,58312156,71027869,73442699,73442700,257021282,60694585,73442652,87060266,84592240,71027886,58312170,58312169,71027884,84592238,98517541,112512663,118887848,259303294,90535325,76671709,76671710,71027889,71027890,84592244,98517525,257021278,115029591,100973699,86987972,86987973,258832448,87076025,87076024,98943868,256476602,95531940,109741421,100987909,86995156,73379827,73379826,86995152,100973646,86987914,86987913,270355996,128932429,129799286,115899134,101853110,101853109,115029558,115029543,100973618,97914083,84592251,71027895,71027894,84592248,98517547,84592264,258052224,112512683,112512672,112512673,123886759,123886758,128932423,115029548,100973623,86987898,86987899,100973625,86987925,86987926,100973641,115029557,258876136,259303298,258052220,71027897,71027899,84592255,86987924,86987923,100973656,115029554,115029546,115029545,128932421,128932425,115029549,100973630,86987902,258209175,49228846,39301907,30704251,23288296,17029005,11943934,11943935,17029007,23288303,30704261,39301922,49228851,258209177,86987922,100973655,115029537,128932416,142283045,142283049,154915013,142283059,128932447,258876146,100973701,115029553,100973636,86987906,73375376,60629835,60629834,60629851,49228855,39301912,30704254,23288299,23288300,30704256,39301903,39301902,49228839,60629827,73375366,73375385,60629840,60629841,269396370,86987971,258209179,49228864,49228863,60629864,65356455,78659929,86987937,258253554,60629849,73375397,86987934,74277840,61501191,61501190,73375401,86987944,100973672,100973664,86987932,73375395,60629848,256010582,39301910,49228853,49228838,39301900,33845419,33845418,42889288,53354005,65356457,78659933,92722390,260115410,100973665,100973613,100973614,101853127,101853126,115899136,115899135,128932433,115029566,258876150,86987938,100973668,101853123,87880031,74277838,61501189,60629823,60629824,73375361,257644674,65356451,53354002,53354001,65356449,78659924,92722384,107061653,121358444,115899141,115899142,129799291,121358442,115899145,115899138,101853112,87880024,87880025,101853114,111754636,259500340,111754639,125562126,258253550,100973610,92722385,269870588,258253548,90680419,90680418,104848755,270383276,128932414,142283042,135209097,121358443,107061650,268993892,78659922,92722380,83969754 Dl.O(d2) = 97788177,111710855,107425759,256657190,78907206,93017230,107425763,121808181,135747533,137315709,137315707,123584495,109392752,257764972,81080914,67613843,55273312,55273313,67613845,81080920,95138758,109392764,123584517,137315759,145278549,145278548,146025767,146025769,158404407,169779828,262451446,155162037,150356780,150356782,155162034,155162035,166854627,177401870,261951222,150356809,137315752,137315750,145278543,132040861,118220867,104061518,104061519,118220870,132040864,132040871,262422921,157690696,169134230,157690721,145278559,260814727,118220899,118220860,104061514,89932051,259601989,118220863,132040853,132040842,118220857,104061512,89932049,76126246,258974693,104061510,118220855,132040839,145278530,132040889,118220900,104061544,89932074,76126265,260218099,104061527,258974697,76126250,89932058,260218097,89932068,76126257,76126256,89932066,104061538,118220894,132040886,145278538,132040888,118220896,118220895,260814729,132040831,132040823,132040822,118220902,104061546,89932076,76126269,63121029,51424283,41227185,32402996,32402995,41227183,51424279,63121019,76126259,89932071,104061504,89932044,76126241,63121008,51424274,51424275,63121010,76126243,89932046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8397987, s2 = 12425649, dlinesl.size( ) = 2 s1 = 8397987, s2 = 12425649, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8397987, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 11215313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215313, s2 = 11064480, int(edited[s2]) = 0 s1 = 11215313, s2 = 11064480, d1 = 17, d2 = 22 Dl.O(d1) = 262251051 Dl.O(d2) = 86678450,73073854,60333370,256999903,16777317,16777316,16987741,16987740,21695344,15655067,10836051,7163030,7163028,10836047,254533645,1660628,1660627,2861333,4747928,7511080,11312542,15655461,15655462,21695914,21697007,21697006,22435071,16267279,15656240,10837090,7163693,4511848,2711153,2711154,4511850,254744165,15656249,10839068,10839069,11104678,11104676,15656114,21696433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215313, s2 = 11064480, dlinesl.size( ) = 24 s1 = 11215357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215357, s2 = 11247268, int(edited[s2]) = 0 s1 = 11215357, s2 = 11247268, d1 = 55, d2 = 4 Dl.O(d1) = 86054453,100017694,114045024,260026640 Dl.O(d2) = 112348295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215357, s2 = 11247268, dlinesl.size( ) = 54 s1 = 11215449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215645, s2 = 11152872, int(edited[s2]) = 0 s1 = 11215645, s2 = 11152872, d1 = 19, d2 = 16 Dl.O(d1) = 255844648,87062574,85982794,85982795,87062573,73445109,60697186,60553500,60553499,73296507,70409942,57715781,57715780,48408726,38502846,254336864,22576170,254504442,48408721,59793634,72528915,86128378,86128380,100095771,257458028,71402030,58667504,58667503,268923874,73445107,86128381,256336666,258693118 Dl.O(d2) = 256968162,11858070,7924952,7924951,5037896,5037897,7925024,11858178,11857621,11857619,15621439,11857634,7924651,7924653,11857638,15137926,11857628,11857627,11858132,7924986,7924987,7925006,5037888,3050083,1776871,1013036,571016,571015,1013031,1776861,3050064,5037843,5037651,5037652,7924611,7924402,5037512,3050106,1776878,1776876,3050098,5037909,7925047,11858221,11858426,7925210,7925211,7925099,5037948,3050114,3050113,5037943,7925092,7925291,7924647,5037676,5037675,7924645,8119242,7924731,7924732,10440630,7925264,7925265,11858512,11858555,11858147,11858145,11858004,7924916,7924917,11858007,16942418,16942417,11857995,7924908,7924909,11857548,7924626,5037657,3049965,3049964,5037654,7924619,7924499,5037903,3050094,3050093,3049875,1776749,1776748,1776796,3049954,5037639,5037573,5037574,5038030,7925102,5037952,3050116,1776933,1776935,3050186,5038064,7924478,5037815,5037814,7924895,11857974,16942994,16943371,255138039,7924422,5037530,267836457,1776940,1013067,1013066,1776769,1776770,3049913,5037578,254376269,3050192,5038071,7925305,7925270,7925269,11858478,7925250,5038047,5038045,7925245,11857240,11858522,16943688,23215768,30638984,30637317,254561384,30637315,23214284,16942383,16942385,23213793,16942015,11857681,7924684,7924662,5037689,5037688,7924659,11857650,16942529,23214443,256470713,49162076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215645, s2 = 11152872, dlinesl.size( ) = 26 s1 = 13518914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215789, s2 = 10985074, int(edited[s2]) = 0 s1 = 11215789, s2 = 10985074, d1 = 14, d2 = 4 Dl.O(d1) = 257542747,257542748,255921840 Dl.O(d2) = 23871379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215789, s2 = 10985074, dlinesl.size( ) = 16 s1 = 11215863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215863, s2 = 11448986, int(edited[s2]) = 0 s1 = 11215863, s2 = 11448986, d1 = 7, d2 = 11 Dl.O(d1) = 260020085 Dl.O(d2) = 263562045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215863, s2 = 11448986, dlinesl.size( ) = 14 s1 = 1513135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215911, s2 = 11185038, int(edited[s2]) = 0 s1 = 11215911, s2 = 11185038, d1 = 2, d2 = 17 Dl.O(d1) = 86192024 Dl.O(d2) = 259437338,55322593,67662761,67662757,55322590,44476260,35099290,268338437,9925510,6523321,6523324,9925525,14429288,19784608,25488942,25488941,24245146,18879683,13454085,13454002,9200729,6023900,6023898,9200723,9200763,255263209,17717452,24073947,31579537,27012649,27012648,23824602,17487569,17487568,18879711,13454106,9200785,9200786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215911, s2 = 11185038, dlinesl.size( ) = 12 s1 = 11216247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11216247, s2 = 11587756, int(edited[s2]) = 0 s1 = 11216247, s2 = 11587756, d1 = 25, d2 = 20 Dl.O(d1) = 256811076,38628891,48543491,254706652,20347141,23830688,258880717,259257164,260477792,262618476,216560279,219805188 Dl.O(d2) = 266355155,274718012,266650008,274905313,267116382,274925472,242136136,274886675,236403268,237225017,237973602,238654053,274826125,240871239,240573863,240061192,239508237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11216247, s2 = 11587756, dlinesl.size( ) = 34 s1 = 11216395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11216449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11216449, s2 = 12246124, int(edited[s2]) = 0 s1 = 11216449, s2 = 12246124, d1 = 2, d2 = 0 Dl.O(d1) = 259412163,114304401,128186797,133995266,120154292,120154291,120154294,105942413,102419547,102419546,260567575,113404637,116145684,102471700,259545592,88419097,102419544,88468549,88468548,102419538,88419104,74787486,61991061,61705506,50223682,269403101,52725021,42337958,33356797,25596216,256139563,40201385,256029603,17666600 Dl.O(d2) = 59930581,59930587,72670414,59930585,59930584,72670411,86270490,100235690,91207558,77287480,77287479,91207555,100232690,100232689,105429706,91207549,77287476,77287477,91207553,105429708,119667694,259355250,86270502,72670422,59930594,48537445,38622532,30048711,22673259,255928819,38622529,48537443,59930590,71190341,71190342,259307069,112681322,112681316,98686598,84759095,71190337,58468459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11216449, s2 = 12246124, dlinesl.size( ) = 2 s1 = 11216449, s2 = 12246124, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11216449, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 11216617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11216617, s2 = 14054116, int(edited[s2]) = 0 s1 = 11216617, s2 = 14054116, d1 = 6, d2 = 15 Dl.O(d1) = 86338747,270486830 Dl.O(d2) = 41735186,41735185,258935355,257107130,40714322,40714321,32854668,32854669,257171914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11216617, s2 = 14054116, dlinesl.size( ) = 18 s1 = 11216657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11217075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217075, s2 = 11056054, int(edited[s2]) = 0 s1 = 11217075, s2 = 11056054, d1 = 26, d2 = 17 Dl.O(d1) = 270859613,128294844,271287842,269373423 Dl.O(d2) = 17092206,254824623,8060505,6851854,4299872,2570766,1480039,1480041,2570770,4299880,6851867,6821557,6821558,10267820,6747257,6747259,6821646,6747824,4228201,4228195,6747842,5936012,5936011,254911225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217075, s2 = 11056054, dlinesl.size( ) = 16 s1 = 11217237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217237, s2 = 11476902, int(edited[s2]) = 0 s1 = 11217237, s2 = 11476902, d1 = 17, d2 = 21 Dl.O(d1) = 259422963 Dl.O(d2) = 263185059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217237, s2 = 11476902, dlinesl.size( ) = 24 s1 = 11217395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11217405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217405, s2 = 11646738, int(edited[s2]) = 0 s1 = 11217405, s2 = 11646738, d1 = 9, d2 = 10 Dl.O(d1) = 72898819 Dl.O(d2) = 255148274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217405, s2 = 11646738, dlinesl.size( ) = 14 s1 = 11217555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11217569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217569, s2 = 11447444, int(edited[s2]) = 0 s1 = 11217569, s2 = 11447444, d1 = 1, d2 = 19 Dl.O(d1) = 86529223 Dl.O(d2) = 194364472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217569, s2 = 11447444, dlinesl.size( ) = 22 s1 = 11217641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217641, s2 = 13358954, int(edited[s2]) = 0 s1 = 11217641, s2 = 13358954, d1 = 11, d2 = 14 Dl.O(d1) = 257526484,38887396,30301465 Dl.O(d2) = 11636844,254550121,4909986,7462518,4715774,2840973,2840972,4715773,7462516,11242632,11247312,11247368,11247369,11247768,7466174,7466175,11242721,7462577,4715815,4715816,4716430,2841435,1648313,1648302,1648300,254354079,3314426,3314425,4715155,254239015,943401,943400,1658039,254354085,2841427,2842362,2842361,4425397,2841351,1648257,254124231,528091,937172,1648261,2841360,4716322,7463308,11243217,11243215,255464829,22319162,22319161,23757615,23012192,22321539,255044698,11727478,11727477,11242854,11242855,11241798,7461785,4715209,4715210,7461789,11241803,11243120,7828548,4969188,4969187,7828544,7461724,4715162,4715161,267975279,7465852,9785048,6433165,6433162,9785043,14234140,19867351,16772524,11726282,7828447,4969132,3001324,1742967,990340,990339,1742964,3001319,254554901,11726244,16772454,16773950,11727502,7829354,7829355,11727424,16773883,20132686,14439440,14439441,20132688,22670462,22670435,16474654,16474656,21609823,22452555,255903480,14514985,16283523,16283511,16283513,22452736,22452738,16283519,16283518,20865054,14962898,14962897,15581622,10778670,10778669,15581620,11324473,11324474,16283291,22452486,22372030,22372031,29728770,29047272,29047271,29728717,22372082,16217170,11273618,267975278,4729425,6007923,9179211,11324508,7520625,7520626,11324512,15488490,15488492,16283252,11324444,11324443,16283250,22452452,28887092,21610868,15581731,10778744,255044699,21610867,28886986,24886831,18387523,16283515,16283516,21277762,21277761,28494925,21610903,15581764,10778765,7121976,4484183,2694241,1560860,887407,887405,1560853,2694224,4484149,7121916,10778663,15581614,16175669,22320807,21607152,16176439,16176438,16217151,15578686,10776536,10776535,11243334,7463015,4716106,4716107,7463018,7121924,4716163,4716164,6007912,3757558,2250757,2250758,3757560,6007917,9178958,13425267,11243307,11243308,254530284,4716176,2841259,254166471,937137,1648201,2841276,4716220,7463183,6007839,6007838,9179096,9179047,6007808,3757496,2250721,1305965,1305964,2250719,254237480,9179028,8749416,8749415,10959346,7253864,4574523,2752041,2752042,4574526,7253868,4729428,2849452,1653253,940381,530205,297196,297197,530209,940388,1648684,1648683,2842120,4717679,7465425,11246689,16180350,16728801,16728802,14347863,9857944,6475509,4057919,2428843,2428844,4057922,6475516,9857955,14347878,20030970,14348131,14348130,20031140,22957633,22957634,20030470,14347477,9857586,9857547,9857549,11679804,11679803,16721386,16728751,16728752,16720965,11679331,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405073,2429003,1405101,799612,799610,1405091,2429040,4058309,4935868,4935866,2982010,1731028,984053,553981,553979,984043,1731006,2981977,4941601,7793642,11680279,7788574,7788577,11680283,13942443,254804924,26192019,22957729,16721706,11680095,7788448,7788449,6279630,6279629,9569680,11679681,7788111,7788112,254247608,20029848,20029847,16261108,16261109,22427972,23352663,17085086,17085085,23352661,30655357,30655356,38944290,30655345,23271624,17009422,11923347,7977440,5076753,3078734,3078733,5076746,7977428,11923324,17009384,17798765,17798763,23342764,23268381,21709070,15667141,10845859,10845860,15379934,10628201,10628165,7015131,4410891,2644822,2644824,4410899,7015147,10628191,15379919,21357302,21357360,21357359,28588336,31271219,23785730,23785731,254184914,39367593,47967178,38053933,29490068,29490067,22898795,254817418,255436455,26915863,34997238,38053941,38053940,47967193,49176217,39251127,39251128,49176220,39402003,30798796,26377948,24304704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217641, s2 = 13358954, dlinesl.size( ) = 14 s1 = 11217861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217861, s2 = 10367020, int(edited[s2]) = 0 s1 = 11217861, s2 = 10367020, d1 = 1, d2 = 1 Dl.O(d1) = 255509152,38953686,30367552,30367551,38953684,255125728,28155798,28155799,36629896,28155842,267897778,10389349,6847209,6847208,10389345,15065455,17009280,17009282,23271531,30296812,38882469,48804429,60200711 Dl.O(d2) = 255509152,38953686,30367552,30367551,38953684,255125728,28155798,28155799,36629896,28155842,267897778,10389349,6847209,6847208,10389345,15065455,17009280,17009282,23271531,30296812,38882469,48804429,60200711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217861, s2 = 10367020, dlinesl.size( ) = 2 s1 = 11217861, s2 = 10367020, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11217861, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 10367021, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11217979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13521694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218115, s2 = 11017860, int(edited[s2]) = 0 s1 = 11218115, s2 = 11017860, d1 = 7, d2 = 12 Dl.O(d1) = 73076967 Dl.O(d2) = 39015986,30427089,256456111,23021887,16781174,11733408,7833784,254371275,3003471,4972668,4972669,7833782,11733404,16781169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218115, s2 = 11017860, dlinesl.size( ) = 8 s1 = 11218427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218545, s2 = 10990776, int(edited[s2]) = 0 s1 = 11218545, s2 = 10990776, d1 = 28, d2 = 25 Dl.O(d1) = 269783938,51505753,258685026,256018827,40052342 Dl.O(d2) = 254487148,10787569,15593926,14560371,10019284,6585374,6585375,6853317,6853318,10396734,14970707,14970706,20872829,19809863,14189724,14189725,19809866,26619385,268232409,269332848,5268947,254585133,5304758,3343460,3343461,5438893,8426025,5438889,5438890,7305117,254347029,1741443,1741444,2998451,3214999,254347757,1613683,917902,517769,517768,917901,1613680,2781890,2784235,2999478,4966175,5282409,3235618,3235620,1898104,1898108,3235672,5282465,7321478,11046645,11044473,11044472,8121541,5203068,5203067,8121540,8186812,5256182,3212367,3212366,5256180,8186810,12156467,268088556,5320693,3269485,1922425,1922424,3269483,5320688,8151826,12120273,8154188,5225053,5225052,8154187,12120270,16769027,11722797,7825232,4966705,2999785,1742112,1742113,2999789,4966709,7825237,7823573,4965395,2998992,2998993,4965397,267984679,7822512,4964485,4964484,7822510,11720366,7826192,7826191,11723708,16769637,16004664,12161424,12161423,15915394,11036978,11036977,12231401,11719095,7821161,4963266,3247423,1906309,1088349,1088347,1087091,1087093,1904233,3244501,5293241,7492282,8242392,5314228,5314227,5288673,3240289,1901166,1085209,1085211,1901171,3231971,3231969,5278201,254182682,17296910,255161822,61269938,268988890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218545, s2 = 10990776, dlinesl.size( ) = 36 s1 = 14650755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14650755, s2 = 6817444, int(edited[s2]) = 0 s1 = 14650755, s2 = 6817444, d1 = 10, d2 = 4 Dl.O(d1) = 49055486,49055484,49055485,60459191,73206119,259443601,86818815,86818813,86818818,73206117,73206110,73206109,73206115,73206111,258819421,100799915,86818816 Dl.O(d2) = 258819419,73206108,86818810,100799916,114851372,128749683,142106645,153626117,140959958,127610838,113742516,99728647,256933646,72180713,255457260,38137158,29571056,22224448,16091295,11176018,11176015,16091289,21209398,15242848,10515576,10515577,15242852,19307698,13805356,9467108,6207508,3885323,2326497,1348569,1348570,2326503,3885336,6207533,6142811,3843600,2303043,2303045,3843610,6142830,9377079,13692202,13781668,9448994,6194721,6194720,9448985,13781655,19279362,25942755,20133606,20133605,25282647,18709845,18709846,25282653,19173811,16301742,16301741,22470844,21077289,21077292,16109770,16109772,22247204,25974879,25974878,33785489,38162734,33626968,33626946,25825124,19173840,19173839,25825122,25974907,19307571,255045368,33785518,38139325,38139326,38136249,33785502,254769416,22223583,25825343,22223504,16090498,16090382,16090383,22223346,29569975,25974897,25974899,33785507,42818189,42818188,33785445,25974849,19307531,19307530,25974846,29571030,29571031,34122092,33785475,25974862,19307539,19307540,25974864,22223585,22223586,29570179,255457316,48049639,38136182,268223114,16092783,11177299,7415913,7415912,9847015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14650755, s2 = 6817444, dlinesl.size( ) = 2 s1 = 14650755, s2 = 6817444, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14650755, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11876444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11876444, s2 = 13539416, int(edited[s2]) = 0 s1 = 11876444, s2 = 13539416, d1 = 177, d2 = 172 Dl.O(d1) = 72086005,85672249,99620752 Dl.O(d2) = 257950507,79217531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11876444, s2 = 13539416, dlinesl.size( ) = 116 s1 = 16017123, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11218797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218797, s2 = 11033522, int(edited[s2]) = 0 s1 = 11218797, s2 = 11033522, d1 = 16, d2 = 19 Dl.O(d1) = 259152025,81027123,259152023,258279331,50282906,40261876,35116257,27029611 Dl.O(d2) = 14442944,254690865,4091620,2447998,1415402,1415405,2448010,4091638,6530040,9935488,14442969,19230981,18307859,17291550,254836935,5273373,3227676,3227677,5273378,8202397,9995296,6568988,6568990,8847588,5766249,3591623,3591625,5766255,8847604,7758968,6569058,6569057,9916779,9448241,6194303,3877011,2321900,2321898,3876999,5376448,7028681,7028682,268124898,2993142,1738002,987640,555681,555682,987642,1738006,2993146,4957698,7815026,10635537,15389551,21369578,268382733,18754707,13354238,9126256,5972099,3734716,3734718,5972103,9126264,13354135,9126186,5972046,254312943,1394806,793197,793196,1394804,2410625,4023274,4023331,4023332,6413444,9754130,12333037,12333036,17491668,19809354,19809054,14189153,9754098,9754099,6413521,6413520,9754242,14189379,14189180,14188908,14188907,255314057,14188995,19808842,26618185,24783514,18301952,18301953,24783222,32407876,32408180,25487337,254329860,42196906,52555996,64430550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218797, s2 = 11033522, dlinesl.size( ) = 20 s1 = 11218801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218801, s2 = 11351570, int(edited[s2]) = 0 s1 = 11218801, s2 = 11351570, d1 = 7, d2 = 2 Dl.O(d1) = 259446195 Dl.O(d2) = 128780955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218801, s2 = 11351570, dlinesl.size( ) = 8 s1 = 11218833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218833, s2 = 11149674, int(edited[s2]) = 0 s1 = 11218833, s2 = 11149674, d1 = 26, d2 = 19 Dl.O(d1) = 260063709,128786935,142139999,142139995,128786932,114891397,100841547,86861053,73248483,73248484,86861055,100841543,86861049,86861048,100841541,271372108,128786922,260080854 Dl.O(d2) = 142139988,142139987,142139989,258778960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218833, s2 = 11149674, dlinesl.size( ) = 18 s1 = 13656363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13656363, s2 = 7991350, int(edited[s2]) = 0 s1 = 13656363, s2 = 7991350, d1 = 0, d2 = 18 Dl.O(d1) = 49144253 Dl.O(d2) = 258202797,49144269,39217807,39217806,49144268,60543664,73286962,86897025,100876186,100876187,86897027,86897018,258202793,60543659,73286957,86897017,73286959,60543660,49144264,257595019,49144276,39217811,39217812,49144263,39217801,30620685,23199055,16930043,16930042,23199053,30620681,39217796,49144257,60543652,258825851,100876181,86897013,73286953,257595017,49144259,60543656,60543657,73286954,73286948,73286949,257595017,49144259,60543656,60543657,73286954,73286948,73286949,257595017,39217799,257014517,60543657,60543673,60543672,49144275,39217811,39217812,49144263,39217801,30620685,23199055,16930043,16930042,23199053,255522829,16930048,23199063,30620696,30620683,30620682,39217797,49144258,60543654,58542737,47154360,47154361,58542739,60543613,73286924,84848206,77252292,64105475,52256579,52256578,52301277,41960676,36816944,31324321,31324322,36817882,36817883,35213801,27121451,20218066,20218067,15137348,10458907,10458908,15165673,21111758,28321937,31798081,28321134,21110860,15164812,10458258,10458259,15164815,21110866,21110635,267849882,20240221,14523644,10459055,10459059,15165869,10459458,10459457,15166370,17911629,12689821,8620405,8620407,12689829,17911651,19117823,25756204,27150712,20240155,14523588,13696903,9380528,6893358,4327229,4327228,6893355,10457788,15164166,20918041,15011804,15011805,20907937,15164831,15011815,15011814,20918057,20240165,14523597,14523598,20240168,25292114,21109025,15163271,15163268,21109018,18884665,15164583,15164582,20918352,20110875,20110876,27000877,35085669,36816949,28320947,21982869,21109034,15163287,10457141,10457140,13649635,9346759,9346758,6896362,4328947,254491545,10462264,15169412,15164916,13332693,9109781,9109779,9226562,254979485,20170202,21110903,15164852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13656363, s2 = 7991350, dlinesl.size( ) = 2 s1 = 13656363, s2 = 7991350, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13656363, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 11219149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11219149, s2 = 11163430, int(edited[s2]) = 0 s1 = 11219149, s2 = 11163430, d1 = 8, d2 = 5 Dl.O(d1) = 256123930 Dl.O(d2) = 128843765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11219149, s2 = 11163430, dlinesl.size( ) = 8 s1 = 11219327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11219327, s2 = 11238648, int(edited[s2]) = 0 s1 = 11219327, s2 = 11238648, d1 = 6, d2 = 19 Dl.O(d1) = 86945690 Dl.O(d2) = 257680893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11219327, s2 = 11238648, dlinesl.size( ) = 2 s1 = 11219327, s2 = 11238648, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11219327, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 11219509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11219579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11219579, s2 = 11403306, int(edited[s2]) = 0 s1 = 11219579, s2 = 11403306, d1 = 20, d2 = 15 Dl.O(d1) = 269371037,23293580,255142411,5091852,7998596,11948921,17034192,23293585 Dl.O(d2) = 258832567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11219579, s2 = 11403306, dlinesl.size( ) = 20 s1 = 11219619, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11219709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8031743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8031743, s2 = 8045938, int(edited[s2]) = 0 s1 = 8031743, s2 = 8045938, d1 = 10, d2 = 14 Dl.O(d1) = 30654649,39250549,255971115,16960106,11871970,7935637,5046169,3056607,254175031,1015903,1781482,1792902,1022683,576242,322458,178248,178247,322456,178741,178742,321815,177922,177921,321812,282944,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571538,1013952,1778482,3052755,5041998,5056370,7950310,255139521,23244192,256472675,49183668,60583611,258828375 Dl.O(d2) = 257630902,22876124,18784692,18784696,18743276,13343151,267929355,3730057,3730056,5964908,9116606,13343149,11614362,11614363,7739551,7739550,7732047,7732048,11114376,11435525,254786325,7603941,11436018,255119085,11272535,7610425,7610424,7594297,4810080,2898985,1682026,1681105,1681102,2897131,4806972,7598829,5964999,5965000,7593678,4803461,2895138,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955869,1680489,2895956,4805032,7590867,6588945,6588944,10025247,9955561,6543180,6543179,6542841,6542840,9955113,11426995,10348516,10348518,11610002,16642061,12838709,8730589,5683873,5683875,7614836,256422199,257034820,50545925,50545924,51030683,50283676,40517020,31820276,24303871,17920224,254284204,5608610,5608608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8031743, s2 = 8045938, dlinesl.size( ) = 22 s1 = 11220133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220133, s2 = 11244470, int(edited[s2]) = 0 s1 = 11220133, s2 = 11244470, d1 = 10, d2 = 5 Dl.O(d1) = 256357648,259958462 Dl.O(d2) = 109605336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220133, s2 = 11244470, dlinesl.size( ) = 10 s1 = 11220237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220237, s2 = 10823460, int(edited[s2]) = 0 s1 = 11220237, s2 = 10823460, d1 = 41, d2 = 43 Dl.O(d1) = 261256765,261844284,261788190,261788192,128854084 Dl.O(d2) = 60567142,51057001,256471488,24556117,32137654,40914669,40895914,40895915,40917137,40915920,40915919,256301038,48114174,47791593,255442650,28425326,28425325,36923840,46801975,39379002,30777420,23353497,23353498,30777423,39379007,48982163,255565332,30439198,30439197,39028680,48950945,268339536,71322471,58816640,256225338,41314227,40196441,31510510,24010529,24010530,31510513,40196444,31510894,31510893,40196844,46801970,256305729,21201941,15236581,10510840,6931160,6931162,256375128,29718260,260601577,141116314,153789710,165103153,165571482,153789712,271764648,273353461,153289744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220237, s2 = 10823460, dlinesl.size( ) = 26 s1 = 11220311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220311, s2 = 11254484, int(edited[s2]) = 0 s1 = 11220311, s2 = 11254484, d1 = 2, d2 = 0 Dl.O(d1) = 257645838 Dl.O(d2) = 86310364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220311, s2 = 11254484, dlinesl.size( ) = 2 s1 = 11220311, s2 = 11254484, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11220311, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 11220347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11220397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11220475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220475, s2 = 11048170, int(edited[s2]) = 0 s1 = 11220475, s2 = 11048170, d1 = 13, d2 = 9 Dl.O(d1) = 257011952,74267910,61491152,50013359,257066448 Dl.O(d2) = 254593228,8330939,254185462,17490810,23299163,30716321,39314630,42323238,33342322,255492668,18974863,25582892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220475, s2 = 11048170, dlinesl.size( ) = 14 s1 = 11877014, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14068505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14068505, s2 = 3327709, int(edited[s2]) = 0 s1 = 14068505, s2 = 3327709, d1 = 8, d2 = 15 Dl.O(d1) = 77961345 Dl.O(d2) = 87633998,101600835,107344711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14068505, s2 = 3327709, dlinesl.size( ) = 16 s1 = 2935065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11220915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220915, s2 = 14103596, int(edited[s2]) = 0 s1 = 11220915, s2 = 14103596, d1 = 14, d2 = 36 Dl.O(d1) = 259483861 Dl.O(d2) = 272830139,152388259,273096929,271888752,152388258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220915, s2 = 14103596, dlinesl.size( ) = 8 s1 = 11877150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11877150, s2 = 11138760, int(edited[s2]) = 0 s1 = 11877150, s2 = 11138760, d1 = 41, d2 = 22 Dl.O(d1) = 3555553,2118287,1221293,689894,689892,1221288,2078027,2078028,3497134,2118285,2118284,3555546,5712176,8771258,12895520,16700844,11661483,7772793,7772791,11661480,16700841,22935697,24755553,18280220,18280218,24755551,24638723,18182917,18182918,24638725,32236475,40601298,40601442,40601508,31892680,255601293,17969035,24364672,31892686,40601522,41192981,51383732,50651176,40601431,31892632,31892633,40601434,50651293,40601469,31892663,24364655,17969027,17969026,24364650,31892653,40601457,40601395,31892611,24364620,24364621,31892615,40601403,50651273,62160291,63072712,63072713,62160443,50651418,40601503,31892677,24364670,256054801,40601497,50651411,50651376,40601481,40601482,50651380,62160400,74971977,88613876,76068663,63072694,51384035,41193256,35197362,35197363,257319969,63072962,62160261,50651249,40601381,40601380,50651244,62160247,74971814,86781102,73168452,60421787,60421786,73168443,73168430,62160352,62160351,73168425,86781078,86780879,73168265,60421621,60421618,258816173,93388837,259599099,89864330,259738125,79262851,79262849,259552833,107811259,93388785,86781308,258193003,60422035,73168384,60421719,60421718,73168382,86781029,73168410,73168409,86781057,100761911,114814337,114814458,102620184,259446070,258198650,100761854,86780999,73168361,60421707,60421708,73168369,85052417,71481092,71481093,73323607,60579928,49180241,49180243,60579933,73323615,74972114,74972112,258074571,258074573,74972172,62160566,50651513,40601569,31892718,31892719,40601578,42978684,33925268,26092091,19402736,19402737,26092098,33925281,30491550,23078006,16825935,11766011,11766012,16825937,23077979,23077981,30491510,25730659,25730657,28947906,36648968,46516052,258015963 Dl.O(d2) = 272237665,49090620,273193017,30920815,39531396,268451140,24419319,24212169,17842036,17842037,24212170,29229345,29983285,37271569,28739331,28739332,26225090,19510244,13965242,13965241,19510243,26225089,26651360,19837818,254366064,30286112,30286113,267833426,11627058,11627057,16659549,12633980,8578201,8578202,12633983,8578339,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375279,9692947,10703625,7071515,254241738,15478368,21481673,28739310,28034674,255361261,10297277,6770084,6770083,4285131,4285132,6830204,5930312,5930311,9069179,13285985,255372741,14995115,14950353,14950354,14950359,14950360,15038051,15038052,255400309,6776784,4282931,4282930,6826902,10363586,15035883,258635305,262621905,184089866,263832009,205968768,264381162,204367635,209755796,273971115,205968768,199819272,192544059,192544058,199819270,192544059,184089865,184089866,192544060,264156903,264447753,273971115,205968768,264381162,273643312,181554313,262508882,262014402,260917296,120826992,106579007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11877150, s2 = 11138760, dlinesl.size( ) = 20 s1 = 14591885, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11221341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221341, s2 = 10650517, int(edited[s2]) = 0 s1 = 11221341, s2 = 10650517, d1 = 6, d2 = 8 Dl.O(d1) = 260702855,273380381,265238569 Dl.O(d2) = 265891601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221341, s2 = 10650517, dlinesl.size( ) = 12 s1 = 11221471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221471, s2 = 11121054, int(edited[s2]) = 0 s1 = 11221471, s2 = 11121054, d1 = 4, d2 = 7 Dl.O(d1) = 74118795,74118796,74118761 Dl.O(d2) = 49853947,49252835,39326567,30728812,256471810,49252830,60653213,269841356,99620376,85671884,85671883,73552034,60804939,60804937,258245011,49853957,39830662,39830661,49853955,61336746,74118777,87723989,99620378,85671885,72085571,72085572,255524390,60653197,49252823,39326561,39326562,49252824,60653200,73399518,255138788,55232779,67575360,55232777,44382535,35004499,35004498,44380584,35002448,35002449,44380586,256471828,81042213,67573827,55231007,53546164,44380588,35002450,26920759,20035816,254906192,20037579,255242294,256103100,34009453,33776359,25966603,25966604,33776361,28622815,21385402,15402030,10645554,10645553,15402026,21385397,28622805,28622808,31148894,256506051,28659965,21415400,255034753,7042788,7042787,8248770,5320681,3269478,3269476,5320674,8248751,12218509,17345161,17344949,17344947,23661970,17344996,12218392,12218391,17344991,17345212,12218558,12218557,17345233,22962251,22962252,30363933,38950115,38950113,31148873,31148875,39830992,31149099,256506075,48869820,38950135,30363944,30363946,23662081,17345039,17345041,23662091,31148967,31148983,23662106,23661829,23661828,31148712,39830882,39831213,39831212,38942147,31148868,23661991,17344974,12218381,8248675,5320621,5320620,8248674,12218380,17344972,22962163,23661958,17345072,17345073,23662139,30363816,22962157,22962155,30363804,38949989,39831213,39831212,39831207,39831112,31149032,23662149,17345087,12218457,12218405,12218404,17345014,22962261,22962259,30363946,23662081,17345039,17345041,23662086,23661946,23661947,254860414,25967906,25967905,33777846,33777845,42810361,51337882,41152581,32337270,24721042,24721041,32337268,41152580,269008768,40425510,49170559,49170560,269841373,60569422,60569421,73312337,60569415,49170558,39245583,256121010,39245616,49170594,39245624,30650060,23228504,268424255,39245622,49170598,60569186,49170265,39245215,30649622,23228039,16955105,11867476,7931820,5042579,5042578,7931819,11867472,16955101,16955181,16955019,255524411,23227890,16955005,11867408,7931814,5042573,3053185,1778805,1778804,3053182,5042525,7931750,7931765,7931766,11867407,16955003,16955469,255970607,16954996,16954997,23227886,255970705,23228465,30650031,30649564,23227986,16955063,11867537,7931853,7931852,11867530,16955174,11867781,11867782,254561909,5042728,5042604,3053207,1778818,1778817,3053202,3053197,1778812,1014173,571667,320227,320226,571662,1014168,1778802,3053180,5042569,7931810,11867463,256471723,39245060,39245415,257016327,30649851,30649850,255524461,16955390,23228271,30649468,30649467,268970453,30649836,23228270,255970667,16955354,11867673,7931946,7931947,255138825,255970663,255524455,254816563,5042677,5042676,7931944,11867669,16955348,23228351,30649934,23228353,16955351,11867671,11867670,16955350,23228329,30649913,39245473,49170452,256532192,86922193,256026404,49170389,39245399,257063622,255551245,17344448,17344451,23661368,31148189,39830325,49170471,39259458,30663663,23246758,23246759,30663667,39259463,49185324,60585263,49255962,39329158,30730822,23312212,17049785,17049786,16994329,16994328,23257267,254789676,32185462,32185461,255143782,30673317,30673319,39269508,39389008,255143788,17092705,12005673,268244955,30786738,39389005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221471, s2 = 11121054, dlinesl.size( ) = 8 s1 = 11877394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15526149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15526149, s2 = 1153971, int(edited[s2]) = 0 s1 = 15526149, s2 = 1153971, d1 = 6, d2 = 4 Dl.O(d1) = 254673323,6298960,9594104,13971447,19517818,26234112,34096549,43180927,51067552,257639944,90602267,76736192,63644917,51852092,256006014,24995171,24995172,32671470,41564874,51852089,63644915,63644914,76736190,257312946,257312948,104774308,259161998,146031556,158409554,169784218,179971362,188935503,185489894,176017655,165324375,273119249,165324376,176017660,176017658,176017659,185489901,193755938,193755939,200843944,206825768,200843924,200843925,200843946,193755940,185489900,185489899,193755939,200843945,206825769,200843946 Dl.O(d2) = 185489900,185489899,193755939,200843945,206825777,206825776,206825768,200843924,193755924,185489891,176017652,165324374,153532136,153532137,273119249,165324376,176017660,176017658,262402508,140855078,127498231,113625517,99611074,85661523,72074313,59340184,47948724,38035119,29472393,22136225,16019931,11122987,11122988,16019933,22136227,29472395,38035121,47948726,59340188,256296582,58093799,70811097,84370567,93508337,79371519,66003430,66003429,61533859,50054697,40034807,31354843,23861196,255740540,255823826,43406166,53933042,43406159,43406160,34304850,26427158,26427157,34304848,269061376,45289675,35732021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15526149, s2 = 1153971, dlinesl.size( ) = 2 s1 = 15526149, s2 = 1153971, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15526149, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11221885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221885, s2 = 11078016, int(edited[s2]) = 0 s1 = 11221885, s2 = 11078016, d1 = 0, d2 = 3 Dl.O(d1) = 257419908,256520015,17492921,12333988,12333987,12891677,8768234,5709739,3553621,3553620,5709737,8768230,12891668,14025392,9641383,6338190,3975929,254123878,9641385,254352426,26301398,19578119,19578118,26301396,31851072,31851073,37405581,268924547,58703653,47314354 Dl.O(d2) = 58719299,256881327,21604797,15576548,10774849,7119261,7119262,7119408,10775071,15576875,21605199,28881069,36702534,28536405,28536404,30667708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221885, s2 = 11078016, dlinesl.size( ) = 2 s1 = 11221885, s2 = 11078016, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11221885, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 6822725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6822725, s2 = 9493866, int(edited[s2]) = 0 s1 = 6822725, s2 = 9493866, d1 = 7, d2 = 9 Dl.O(d1) = 258875575 Dl.O(d2) = 257061391,12298584,8306233,5359175,3294265,3294264,5359173,8306230,12298579,17447226,22567301,17437024,12290791,11404884,11404883,11404885,11404886,16386670,15410122,10651795,7033451,7033452,10651797,15410126,21395528,25619208,25619209,33385172,42374118,257805237,77876758,91799067,259675079,77876757,77876758,91799066,259675079,84290443,70739052,257412587,36768359,36768360,257412589,70739054,84290446,98186127,112148478,122945929,108680675,94393381,80338691,66912168,54655341,54655342,259134725,71355072,258646852,47224774,37316002,28780369,255553713,17373974,16275418,12243834,12243833,11237011,8487396,254410281,1989425,1989430,3379190,2255301,1308964,1308963,2255292,3764164,4708908,2836700,2836698,4708897,4709259,4708312,2836365,1645430,1645427,2836353,4708286,6015631,8485200,8485201,8549591,8549593,11231208,8538831,8538829,12274192,8289030,8289028,7799241,7799239,11694008,16737733,17767419,12573347,8527373,5525943,5525944,8527374,12573350,255262238,24177219,17809037,17809038,13439497,13439496,13439494,9188945,9188944,13439493,12623381,8569488,8569492,9191713,8582019,5576200,5553730,3438085,2033968,2033969,3394452,5505751,5508454,8508023,254869231,12598523,8556205,5553118,3472624,3472623,5595801,5483014,5483013,8482210,8539039,12580516,9192146,6017649,6017648,9192145,8533451,8533450,6016837,3763832,3763833,6016839,9191216,13439359,254650325,6014378,6015931,254650509,6016776,6016777,5572978,5572977,5485681,3439141,254417551,5506101,3394836,3394835,2043729,2043728,1989924,1137049,637935,354266,194241,106180,58455,32922,32924,58463,106197,194278,354331,267756029,1990254,2049286,2049289,3456903,5359325,3780770,2264671,1313700,1313701,2264673,3780772,3377329,3377243,1988956,1988932,1988931,3378508,5018151,5018152,254278189,2014292,3412921,5526635,8523179,8545347,8545349,8545348,12594204,17282174,12161114,12161113,12525159,8545345,5543502,3429168,2027225,254279743,5543503,8545350,12594207,17793200,24160638,31670276,40364998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6822725, s2 = 9493866, dlinesl.size( ) = 8 s1 = 15513020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11222053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222053, s2 = 11207246, int(edited[s2]) = 0 s1 = 11222053, s2 = 11207246, d1 = 6, d2 = 12 Dl.O(d1) = 259983740 Dl.O(d2) = 17396751,12259718,12259717,17396750,23720615,23696011,21621882,21621883,25287531,33012539,28350656,21137174,15186955,15186954,21137169,28350651,30463200,23055026,23055027,30463205,39052811,37655162,37077462,37077463,46599874,39058497,30468024,30468023,39058494,31185725,23696077,17374039,12242168,8267558,5334451,3279072,1928737,1101979,618476,618477,1101982,1928744,3279083,5334474,8267594,12242224,17374122,23696194,31185855,36700250,28209285,21016254,15094440,15094439,21016251,28209280,28209272,21016245,15094438,255801451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222053, s2 = 11207246, dlinesl.size( ) = 14 s1 = 11222293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222293, s2 = 11039228, int(edited[s2]) = 0 s1 = 11222293, s2 = 11039228, d1 = 22, d2 = 24 Dl.O(d1) = 271078092,269887155,24242516,17866600,17866601,24242514,31754290,37399012,37399013,47308323,57978306,258018905 Dl.O(d2) = 98141732,261069959,260048326,86578616,258184242,60245941,256451862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222293, s2 = 11039228, dlinesl.size( ) = 20 s1 = 11222303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222303, s2 = 14062980, int(edited[s2]) = 0 s1 = 11222303, s2 = 14062980, d1 = 15, d2 = 23 Dl.O(d1) = 74284999,74285000,74285001,258881927,74285010,259505749,101860249,87887234,259505747,115906080,129806028,129806027,260120633 Dl.O(d2) = 61508561,50030446,40011770,31333433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222303, s2 = 14062980, dlinesl.size( ) = 14 s1 = 11222801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15069895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11223169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223169, s2 = 14087095, int(edited[s2]) = 0 s1 = 11223169, s2 = 14087095, d1 = 24, d2 = 15 Dl.O(d1) = 74458662,61675578 Dl.O(d2) = 258272199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223169, s2 = 14087095, dlinesl.size( ) = 26 s1 = 11223221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223221, s2 = 10564803, int(edited[s2]) = 0 s1 = 11223221, s2 = 10564803, d1 = 7, d2 = 15 Dl.O(d1) = 269402611 Dl.O(d2) = 254145102,9023326,5892769,3680189,3675018,3675021,3617535,3617537,2207158,1281645,1281642,1737299,2992524,4956953,7814194,11712409,16759376,22998970,28667662,28667661,28539725,21316211,15345251,10599562,10599561,15345248,21316204,28539712,37038358,46916022,58281470,46916020,46916019,58281467,256859770,37109853,37109852,46916008,46916009,58281319,46915818,46915816,41164132,41164131,51349415,58365116,54643088,43900135,34627868,34627867,43900131,46995111,37109848,28601084,28601085,37109838,46995093,52400263,42056270,33107133,25372039,18787576,18787575,25372035,33107127,38727620,30146107,30146108,38727622,36752406,28257469,28257470,33107144,33107142,42056283,52400277,64255681,59757575,59757574,59757576,48375150,38473533,29915102,29915103,30280469,22882914,16654146,11621543,7739926,5552750,3437251,2033354,2033351,3437265,5552798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223221, s2 = 10564803, dlinesl.size( ) = 2 s1 = 11223221, s2 = 10564803, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11223221, Dl.E( ) = 16, 1.31e-05 seconds used appending s1 = 15702031, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6566954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11224491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224491, s2 = 11178330, int(edited[s2]) = 0 s1 = 11224491, s2 = 11178330, d1 = 32, d2 = 23 Dl.O(d1) = 271421089,272616893,263264713,165018590,261686269 Dl.O(d2) = 37702956,29142110,21834337,255056987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224491, s2 = 11178330, dlinesl.size( ) = 30 s1 = 11224685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224685, s2 = 11662052, int(edited[s2]) = 0 s1 = 11224685, s2 = 11662052, d1 = 5, d2 = 9 Dl.O(d1) = 74815519 Dl.O(d2) = 31797045,40491985,50527530,62019222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224685, s2 = 11662052, dlinesl.size( ) = 2 s1 = 11224685, s2 = 11662052, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11224685, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11224917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224917, s2 = 14063052, int(edited[s2]) = 0 s1 = 11224917, s2 = 14063052, d1 = 17, d2 = 23 Dl.O(d1) = 88505152,102512963 Dl.O(d2) = 257786399,77513999,64348333,257196475,33166417,255662293,13416425,9173224,6004023,6004022,6003115,3754251,3754252,6003117,9171855,254848579,5372199,3757777,2250935,1306142,1306141,2249871,1305310,1305309,2249869,2242402,1300410,742035,742038,744312,744313,449470,252937,139709,139704,252929,449456,793640,1395462,2411354,2412681,2411404,2411405,4023135,4025122,2412112,2412113,1410927,802588,454708,256244,141895,77756,77757,141897,256249,421658,237953,131368,131369,237954,413419,413418,726830,1271903,2191191,1411653,803113,726699,413321,413320,259921,144229,79378,43462,254070431,13478,20731,11620,6430,6429,11618,20727,37664,69717,267738773,413425,413241,413242,460754,449676,253090,253091,413689,413690,234969,129727,129728,234971,234077,233622,128838,128837,76346,41479,22872,12724,12725,22877,41492,37868,37869,70083,69709,69710,76543,76542,129246,70057,37857,37858,70062,128564,128565,233268,129098,69989,37821,37820,69983,37976,37975,70091,129302,233974,234204,129214,70043,70045,254082203,414611,728434,254201957,1395815,793963,449711,254115963,728852,414940,254093183,129521,70219,43244,23993,13394,13031,7181,7182,13033,23431,21291,21292,22761,37519,43558,24216,13542,13522,7454,7385,7384,7382,7381,13388,12589,12588,22640,38452,38097,254071667,13607,13609,24129,23465,13051,7191,3829,1974,970,467,466,968,1969,3820,7176,13018,23401,42370,23393,23394,42372,24004,24003,43260,69471,75944,41798,23081,12839,12838,23080,41795,76795,140345,253743,450480,450481,794954,1397083,2413614,4027777,6420238,9764816,14204681,19829506,255340236,26642407,19829494,14204674,14204673,19829492,26642404,34632995,43905644,43905657,34633004,26642413,26642412,19829510,19829509,26642427,26642335,19829452,19829453,26642330,26642331,34632853,268178328,43905419,43905420,54647681,43905632,34632986,34632987,34633007,43905662,54647959,58242016,58242017,70958617,84521940,88069698,102055145,116112844,130022535,143355599,140643238,260329520,85495166,71910153,59172159,47839828,37918833,29350501,22018865,22018864,25327410,25327411,30371757,22970233,22970232,24528888,24528885,32104999,37850232,29282290,21957106,15865020,10996009,7279129,4590711,2761973,2761972,4590709,7279127,10996007,15865012,21688839,28970719,37514053,37850213,37850212,29955998,28970697,28970698,28970685,28970686,28970716,28970717,28970701,28970702,37514033,37514048,268389595,21688836,28970713,37514050,39713253,39713254,48428526,47421701,47193717,47193715,48009120,59397333,59397334,72128105,73415183,73415182,75968716,75968715,87032687,87032686,87032690,101029021,103851850,89747859,89747860,99723516,85769729,85769730,99723526,99723520,85769722,73415217,60668053,60668052,73415216,60668055,49268090,39342433,30743444,23322674,23322625,23322623,268426243,39342364,30743388,30743389,39342370,49268030,39342376,30743397,30743396,39342374,44811164,55717678,68114079,81602779,74185973,61406182,49926618,49926617,257054284,39907100,31230523,23746869,17421573,17421572,23746867,31230520,39907099,31230565,31230551,23746885,17421588,12279155,12279156,17421590,23746889,23746874,17421577,12279172,8292763,5350029,3288122,3288121,5350027,8292759,12279164,17421599,17421558,12279220,12279221,17421663,23746846,17421669,12279225,12279226,12279178,8292769,8292768,255168789,23746921,31230505,23746853,17421562,17421561,23746851,31230502,256512341,49926562,59940757,72680126,74185949,61406244,49926674,49926675,61406246,60717489,49315647,49315646,268424670,87082542,87790160,87082544,87082543,74186066,61406248,61406249,49926681,39907205,39907204,49926678,39907203,31230621,23746948,23746949,31230599,23746933,256007649,39907181,49926654,61406087,50063581,40044183,31363966,23869555,23869554,31363965,39907253,31230655,31230654,39907211,31230628,255556933,12279202,8292784,8292783,12279200,17421633,23746947,17421656,12279214,8292791,5350045,3288133,3288132,5350043,8292788,12279207,17421642,23746962,31230633,31230482,23746831,17421544,17421545,23746833,23746835,23746834,23746974,31230481,23746829,23746830,23746801,17421520,12279114,8292732,5350008,3288105,3288106,5350009,8292735,12279121,17421532,23629656,23629657,31116212,255875759,255065447,10996008,15865018,21957102,29282287,37850225,47773285,59172150,59281406,47884920,37966498,37966499,47771626,47771625,47884921,47884922,49202058,49202059,60602733,73347622,63772194,257821012,64812340,52891002,42484443,35339389,33488550,25713607,19085599,13626313,13626314,19085601,25713611,33488556,42484445,52891005,64812341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224917, s2 = 14063052, dlinesl.size( ) = 18 s1 = 11224945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224945, s2 = 11302796, int(edited[s2]) = 0 s1 = 11224945, s2 = 11302796, d1 = 6, d2 = 5 Dl.O(d1) = 256861172,255400322,16664093,11630694,7748050,7748052,5966931,5966932,4893640,2949092,2949093,4893642,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2949492,1710529,1710531,2606404,2606403,4351977,4799280,2950275,1711004,1711003,1678894,955101,955102,1678897,2892787,4799303,7587612,7694753,7686613,5764241,5764242,4813074,2900599,2900598,4813067,7603511,4810290,2899110,1682087,956586,956590,1681993,2898915,2233549,1295267,739283,739281,1295260,1710575,1710576,2949576,4894352,4901621,2954228,2954230,4901630,7615912,7615909,6543411,4099498,4099499,6543417,7584740,4797434,4797433,7584692,7616507,4819015,2947495,1709411,1709414,2947505,2952834,1712356,973081,547909,547907,973074,1712341,2952803,4899399,3361526,1976291,1976292,254408351,8460651,12491683,9852926,6472067,6472066,254969275 Dl.O(d2) = 258523053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224945, s2 = 11302796, dlinesl.size( ) = 12 s1 = 13529848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13529848, s2 = 10582852, int(edited[s2]) = 0 s1 = 13529848, s2 = 10582852, d1 = 1, d2 = 1 Dl.O(d1) = 74953040,74953041,88595043,102603016,113079495,99091660,85169550,85169549,73496518,60747657,60747658,73496524,87115209,91333991,77415207,71604482,58884929,58884930,258708601,99091428,113079317,99091666,85169564,85169565,85169292,85169291,85169317,99091388,113079277,113079508,99091670,99091445,87115218,76943342,76943341,71604427,71604428,71604452,85169248,98993012,112983103,119191221,104996410,258084990,90819012,90819011,102603011,102603010,258084992,112983097,98993008,98993007,87115196,87115195,87115201,87115202,101113253,91334009,91333988,91333987,101113227,115191369,126932755,113079315,113079316,115191377,101730648,101730647,113079500,101730650,87758253,75984110,75984111,89762731,269075194,71493924,76943344,63836228,63836229,76943347,85169244,85169245,99091403,113079298,119191224,104996414,90819007,76943366,63836245,63836246,76943368,90819014,85067031,71494580,58764777,58764776,71494575,85067024,98993009,101730651,87758255,87758257,91333963,91333962,271531244,259024626,76943434,76943435,71494590,58764781,47377555,47377554,58764779,63836213,63836214,76943326,90818983,77415146,77415147,91333947,85169497,85169498,85066981,85066982,85066999,71494550,58764737,58764736,61373737,49893208,39871005,39871006,49893212,61373743,74154115,71493932,58763983,47376689,47376690,58763985,71493935,85066523,98992693,112982943,126837271,119191270,104996460,90819072,268619374,63836336,58885271,52021215,52021211,41710491,41710490,52021197,63836307,63836308,71494584,63836217,52021132,257761863,76943331,63836243,63836242,71604764,58885258,47506304,37602487,37602486,47506302,58885255,58884681,58884682,71604294,71604887,71604886,85169027,71604181,61373766,49893226,49893225,61373763,74154107,87758261,85066519,85066518,76943338,76943337,90818987,258075580,49893198,49893199,49893192,256884656,74154082,71484386,71484387,85055779,71604319,58884724,52021223,41710501,32794247,25095001,18548158,13178968,8983421,8983420,13178964,18548152,25094991,32794224,41710464,52021170,63836272,58885274,47506325,37602504,29054340,21759819,21759820,29054342,37602506,39871002,31188401,31188400,31188398,255850686,49893189,61373713,49893222,39871014,39871013,258247719,71494567,76943354,258699714,98504425,90818974,76943304,76943303,87758277,74154127,74154125,74154124,71484381,58755654,58755653,71484379,85055763,98980848,85169511,85169512,76943322,63836207,52021128,41710439,41710438,52021126,52021115,52021114,52021147,63836238,58885305,58885306,71604816,85169533,84579078,71014439,58299207,46933158,46933159,58299208,268928654,76943411,63836298,63836297,76943353,76943385,85066508,85066507,98992677,104996398,119191218,113079487,113079486,119191252,119191253,256895418,268928656,258084958 Dl.O(d2) = 74953040,74953041,88595043,102603016,113079495,99091660,85169550,85169549,73496518,60747657,60747658,73496524,87115209,91333991,77415207,71604482,58884929,58884930,258708601,99091428,113079317,99091666,85169564,85169565,85169292,85169291,85169317,99091388,113079277,113079508,99091670,99091445,87115218,76943342,76943341,71604427,71604428,71604452,85169248,98993012,112983103,119191221,104996410,258084990,90819012,90819011,102603011,102603010,258084992,112983097,98993008,98993007,87115196,87115195,87115201,87115202,101113253,91334009,91333988,91333987,101113227,115191369,126932755,113079315,113079316,115191377,101730648,101730647,113079500,101730650,87758253,75984110,75984111,89762731,269075194,71493924,76943344,63836228,63836229,76943347,85169244,85169245,99091403,113079298,119191224,104996414,90819007,76943366,63836245,63836246,76943368,90819014,85067031,71494580,58764777,58764776,71494575,85067024,98993009,101730651,87758255,87758257,91333963,91333962,271531244,259024626,76943434,76943435,71494590,58764781,47377555,47377554,58764779,63836213,63836214,76943326,90818983,77415146,77415147,91333947,85169497,85169498,85066981,85066982,85066999,71494550,58764737,58764736,61373737,49893208,39871005,39871006,49893212,61373743,74154115,71493932,58763983,47376689,47376690,58763985,71493935,85066523,98992693,112982943,126837271,119191270,104996460,90819072,268619374,63836336,58885271,52021215,52021211,41710491,41710490,52021197,63836307,63836308,71494584,63836217,52021132,257761863,76943331,63836243,63836242,71604764,58885258,47506304,37602487,37602486,47506302,58885255,58884681,58884682,71604294,71604887,71604886,85169027,71604181,61373766,49893226,49893225,61373763,74154107,87758261,85066519,85066518,76943338,76943337,90818987,258075580,49893198,49893199,49893192,256884656,74154082,71484386,71484387,85055779,71604319,58884724,52021223,41710501,32794247,25095001,18548158,13178968,8983421,8983420,13178964,18548152,25094991,32794224,41710464,52021170,63836272,58885274,47506325,37602504,29054340,21759819,21759820,29054342,37602506,39871002,31188401,31188400,31188398,255850686,49893189,61373713,49893222,39871014,39871013,258247719,71494567,76943354,258699714,98504425,90818974,76943304,76943303,87758277,74154127,74154125,74154124,71484381,58755654,58755653,71484379,85055763,98980848,85169511,85169512,76943322,63836207,52021128,41710439,41710438,52021126,52021115,52021114,52021147,63836238,58885305,58885306,71604816,85169533,84579078,71014439,58299207,46933158,46933159,58299208,268928654,76943411,63836298,63836297,76943353,76943385,85066508,85066507,98992677,104996398,119191218,113079487,113079486,119191252,119191253,256895418,268928656,258084958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13529848, s2 = 10582852, dlinesl.size( ) = 2 s1 = 13529848, s2 = 10582852, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13529848, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10582853, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15920909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11225351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11225351, s2 = 11173744, int(edited[s2]) = 0 s1 = 11225351, s2 = 11173744, d1 = 6, d2 = 5 Dl.O(d1) = 259279616 Dl.O(d2) = 255604919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11225351, s2 = 11173744, dlinesl.size( ) = 8 s1 = 11225905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11225905, s2 = 11314848, int(edited[s2]) = 0 s1 = 11225905, s2 = 11314848, d1 = 13, d2 = 17 Dl.O(d1) = 258326518 Dl.O(d2) = 187902743,178800375,264010588,262364824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11225905, s2 = 11314848, dlinesl.size( ) = 8 s1 = 14594638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13531468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4140422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11226669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226669, s2 = 11346948, int(edited[s2]) = 0 s1 = 11226669, s2 = 11346948, d1 = 33, d2 = 19 Dl.O(d1) = 89797617,258454108,131865820 Dl.O(d2) = 169016638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226669, s2 = 11346948, dlinesl.size( ) = 32 s1 = 11226711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226711, s2 = 10823908, int(edited[s2]) = 0 s1 = 11226711, s2 = 10823908, d1 = 6, d2 = 6 Dl.O(d1) = 257731417,256592927,24745834,18272603,12968617,8827086,5751535,5751534,8827085,12968614,18272600,15034456,15034455,255263912,57815634,70516958,84052058,97922741,111856944,125672778,259662710,260874722,174435155,174435145,261442332,260279192,139011535,258408802,97922739,257793532,97922742,97922741,111856945,125672780,139011549,271543080,259662700,258408800,84052053,97922735,111856934,125672762,259662698,163594529,163594544,151715623,139011536,139011534,151715622,260874720,174435136,163594525,151715608,139011520,139011519,260279198,139011546,260279196,260874726,260874728,184088259,262476276,184088248,184088247,184088252,174435144,163594531,151715610,270519234,125672764,260279184,260279190,260279188,151715632,163594549,174435147,261442334,163594549,174435147,163594536,259662700,258408800,84052053,97922735,111856934,125672762,259662698,163594529,174435142,260874724,259035716,125672778,259662710,260874722,184088255,262476276,184088248,184088247,184088252,174435144,163594531 Dl.O(d2) = 257731417,256592927,24745834,18272603,12968617,8827086,5751535,5751534,8827085,12968614,18272600,15034456,15034455,255263912,57815634,70516958,84052058,97922741,111856944,125672778,259662710,260874722,174435155,174435145,261442332,260279192,139011535,258408802,97922739,257793532,97922742,97922741,111856945,125672780,139011549,271543080,259662700,258408800,84052053,97922735,111856934,125672762,259662698,163594529,163594544,151715623,139011536,139011534,151715622,260874720,174435136,163594525,151715608,139011520,139011519,260279198,139011546,260279196,260874726,260874728,184088259,262476276,184088248,184088247,184088252,174435144,163594531,151715610,270519234,125672764,260279184,260279190,260279188,151715632,163594549,174435147,261442334,163594549,174435147,163594536,259662700,258408800,84052053,97922735,111856934,125672762,259662698,163594529,174435142,260874724,259035716,125672778,259662710,260874722,184088255,262476276,184088248,184088247,184088252,174435144,163594531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226711, s2 = 10823908, dlinesl.size( ) = 2 s1 = 11226711, s2 = 10823908, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11226711, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11226873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226873, s2 = 14354672, int(edited[s2]) = 0 s1 = 11226873, s2 = 14354672, d1 = 7, d2 = 8 Dl.O(d1) = 76124136,76124137,89929830,104059245,260217927,132039195 Dl.O(d2) = 85868221,72276813,59542739,48155893,48155894,48155746,38246575,29681695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226873, s2 = 14354672, dlinesl.size( ) = 2 s1 = 11226873, s2 = 14354672, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11226873, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11226889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226889, s2 = 11485748, int(edited[s2]) = 0 s1 = 11226889, s2 = 11485748, d1 = 18, d2 = 16 Dl.O(d1) = 260218421,132048127,145285351,157696639 Dl.O(d2) = 273770998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226889, s2 = 11485748, dlinesl.size( ) = 20 s1 = 11227163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11227163, s2 = 11128804, int(edited[s2]) = 0 s1 = 11227163, s2 = 11128804, d1 = 12, d2 = 5 Dl.O(d1) = 254637374,51591289,63313497,76343255,90169871 Dl.O(d2) = 79296630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11227163, s2 = 11128804, dlinesl.size( ) = 14 s1 = 11227387, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13532714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14197262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14197262, s2 = 12514191, int(edited[s2]) = 0 s1 = 14197262, s2 = 12514191, d1 = 37, d2 = 40 Dl.O(d1) = 83978184,97840345,259695062,79260381,65898283 Dl.O(d2) = 181420801,171400395,171400396,181420803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14197262, s2 = 12514191, dlinesl.size( ) = 2 s1 = 14197262, s2 = 12514191, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14197262, Dl.E( ) = 42, 1.5e-05 seconds used appending s1 = 11227725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11227725, s2 = 11463636, int(edited[s2]) = 0 s1 = 11227725, s2 = 11463636, d1 = 24, d2 = 3 Dl.O(d1) = 273062962 Dl.O(d2) = 158435916,273300064,261404649,273435325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11227725, s2 = 11463636, dlinesl.size( ) = 30 s1 = 11228247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228247, s2 = 10204147, int(edited[s2]) = 0 s1 = 11228247, s2 = 10204147, d1 = 143, d2 = 163 Dl.O(d1) = 80341130,66914754,66914753 Dl.O(d2) = 143520307,130190674,116352053,102257555,88259400,74629349,61837292,50353223,40326233,31636803,268261571,268003185,5525244,3411742,2013469,1151598,1151597,1767044,3035773,2017731,1154304,1154307,2017737,1154347,1154344,1598036,1598035,2009911,2009909,3407136,5328790,5014471,4892709,2948501,2023692,1158107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228247, s2 = 10204147, dlinesl.size( ) = 14 s1 = 11228539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228539, s2 = 10985816, int(edited[s2]) = 0 s1 = 11228539, s2 = 10985816, d1 = 7, d2 = 10 Dl.O(d1) = 91100379 Dl.O(d2) = 258267094,31426447,268257234,31426447,23935554,17592389,12417805,12417806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228539, s2 = 10985816, dlinesl.size( ) = 14 s1 = 14630766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11228599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228599, s2 = 11203278, int(edited[s2]) = 0 s1 = 11228599, s2 = 11203278, d1 = 38, d2 = 64 Dl.O(d1) = 91139632 Dl.O(d2) = 259788442,113735652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228599, s2 = 11203278, dlinesl.size( ) = 2 s1 = 11228599, s2 = 11203278, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11228599, Dl.E( ) = 76, 2.88e-05 seconds used appending s1 = 11229501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11229541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11229659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229659, s2 = 11439414, int(edited[s2]) = 0 s1 = 11229659, s2 = 11439414, d1 = 30, d2 = 25 Dl.O(d1) = 260666518,13397565,9159302,9159303,13397566,18806525,18806528,18806529,18806527,13397567,9159304,9159305,268143343,25393693,33131088,42081995,42081994,52429567,269840936,256639005,25393690,256123561,257193923,64289857,64289856,77444125,91366711,77444134,64289861,52429789,52429788 Dl.O(d2) = 33131085,42082197,260269631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229659, s2 = 11439414, dlinesl.size( ) = 22 s1 = 11229949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229949, s2 = 4479456, int(edited[s2]) = 0 s1 = 11229949, s2 = 4479456, d1 = 9, d2 = 10 Dl.O(d1) = 260274837 Dl.O(d2) = 176688341,261983072,141645007,140336675,126981982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229949, s2 = 4479456, dlinesl.size( ) = 14 s1 = 11230223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230223, s2 = 11310082, int(edited[s2]) = 0 s1 = 11230223, s2 = 11310082, d1 = 2, d2 = 9 Dl.O(d1) = 91532470 Dl.O(d2) = 133855075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230223, s2 = 11310082, dlinesl.size( ) = 12 s1 = 16048645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11230537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230537, s2 = 11129528, int(edited[s2]) = 0 s1 = 11230537, s2 = 11129528, d1 = 16, d2 = 21 Dl.O(d1) = 260879517,141601191 Dl.O(d2) = 86390212,72794465,259008760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230537, s2 = 11129528, dlinesl.size( ) = 28 s1 = 11230691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230691, s2 = 11317224, int(edited[s2]) = 0 s1 = 11230691, s2 = 11317224, d1 = 6, d2 = 3 Dl.O(d1) = 258302660,42308472,257209379 Dl.O(d2) = 132448265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230691, s2 = 11317224, dlinesl.size( ) = 14 s1 = 11230741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230741, s2 = 11654770, int(edited[s2]) = 0 s1 = 11230741, s2 = 11654770, d1 = 44, d2 = 41 Dl.O(d1) = 91714681,260078706,133956349,147178568 Dl.O(d2) = 192302442,272550314,183824770,174155650,174155651,183824772,261699048,193862739,262249414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230741, s2 = 11654770, dlinesl.size( ) = 20 s1 = 11230809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11230977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230977, s2 = 11331034, int(edited[s2]) = 0 s1 = 11230977, s2 = 11331034, d1 = 19, d2 = 2 Dl.O(d1) = 91797480,105992197,120192944 Dl.O(d2) = 115962409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230977, s2 = 11331034, dlinesl.size( ) = 18 s1 = 15558993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15558993, s2 = 14067817, int(edited[s2]) = 0 s1 = 15558993, s2 = 14067817, d1 = 1, d2 = 1 Dl.O(d1) = 19060283,13606940,9317375,6103482,3818919,2287926,1327385,1327386,2287927,3818921,6103487,9317386,13606953,19060300,19060357,254932967,9317404,13606988,19060361,25683699,33455453,42448660,48271261,48271260,49129849,256802380,68088582,55690705,44783275,254702700,267877202,27236736,26902631,26902630,34982480,44360108,49760506,254994754,25402117,25402119,33141991,42096139,52449038,46848360,46848359,58216289,255555170,35357721,35357722,35357689,35357690,35359635,44783377,55690235,44782702,35359541,35359542,44783312,38932131,38932130,35360152,27237473,27237474,27237018,27237017,30346248,31039244,23557121,17247938,17247936,23557118,31039239,27235763,27235762,268369144,35358516,27235680,256237641,44782426,40928006,32150474,24567073,18126919,12853561,8740775,8740776,12853563,18126922,24567075,27236489,25690670,25690672,33462823,37852742,44783969,55691280,68089156,76300906,76300907,70999062,58283912,46918104,37040153,31429192,23938014,23938015,23938777,21824613,21824614,29131691,37693238,29318155,29318156,37886853,47809822,58442848,47066514,37173908,37173909,47066516,58317980,46951049,37071265,37071263,257199669,46951039,42162759,33202855,33202854,28568712,21341173,21341174,28568713,256856897,46951041,58317994,71033674,84598042,98523099,112518038,115068774,100997618,87003961,84598040,84598039,259258034,87003957,73388381,60641881,49241131,49241130,60641879,60641885,49241133,39314237,257021903,49241125,39314231,30715995,30715994,39314229,49241122,60641865,258832963,78500265,77417399,73388362,73388361,85860992,91336105,91336104,105554149,105554147,105554148,100997605,100997606,115068768,113829676,113829677,127699250,272557931,153715997,141049078,140740884,140740885,149515216,140740897,127384923,113515034,113515033,127384921,271850758,134060297,134060296,120225479,106023913,91829680,91829679,106023906,113829690,113829691,107864870,259676801,91829690,91829693,77909008,77909009,77909071,91829764,106023938,91829706,77909021,64720779,64720778,64720767,64720766,61512984,61512985,61512988,50034544,40015629,40015630,33392083,25626961,19012106,19012107,25626964,33392087,33348608,33348609,25648644,19030550,19030551,19012109,13569190,13569191,18979379,18979380,25588286,33348615,31337053,25648617,19030527,18979452,18979453,25588358,25588290,19066544,13611776,9320590,6105530,3820174,3820176,6105526,9298092,6133918,3837627,2299107,2299106,3837623,6133913,9338579,9338580,13579697,13583745,13611774,13611775,13676763,18979433,18979372,18979373,19086842,13627195,9331304,267862919,3824489,6112323,9331302,9275629,9275628,13549118,9320588,9271346,9271347,12801286,254931563,9301079,13583783,19030571,19030561,13583775,9301075,6092759,3812033,2283491,1324485,1324484,2283488,3812029,6092752,9301061,13583760,19030538,25648628,33416451,42406641,52806899,64720759,52806870,42406624,42406625,52806873,52806852,52806845,52806844,52806879,52806876,52806862,52806863,64720749,64720771,64720770,64720756,64720757,77909054,85773492,91829740,77909051,64720755,64720753,64720754,77909049,258423086,77909066,64720769,64720768,258423091,64720774,77909068,91829761,106024004,113741388,99727247,85773493,72179135,59440681,48048867,48048868,59440684,72179128,72179129,85773484,99727235,86683912,73079714,60339796,48942676,39019571,39019572,48942679,58165353,58165354,70879281,84436511,84436510,98346018,98346026,86873639,73261132,73261131,86873637,95346292,95346291,95346298,81290032,81290033,95346294,81290029,67823862,55482199,44632000,35247557,27149353,27149354,35247560,44632005,49112275,49112274,255717484,30585063,23167095,23167094,30585062,39182841,43217549,34129863,34129862,43217548,53729405,62032464,53881325,50540787,50540716,50540715,43356649,34256726,26379193,19645116,19645114,17912530,17912529,24294744,19645369,19645370,26379444,24294719,17912512,12690573,8621032,8621033,12690576,17912514,19366889,19366888,254115574,17912523,24294735,31809879,34129868,26263509,19543662,13994438,13994439,19543663,26263512,34129875,43217555,53729414,43356859,254211856,34129883,34129884,40505337,32393328,24770766,18291852,18291851,14080861,14080859,9685142,6370488,3997433,2395547,1386290,788438,788437,1386288,2395543,3997426,6370475,9685110,14080831,19645410,26379496,34256977,43356882,53881331,43356900,43356902,43356890,34256991,26379513,19645430,14080845,14080844,19645408,19645407,26379494,34129880,26263517,19543667,19543665,24294728,26380027,26380028,34257593,43357457,53380527,42914137,33868396,26046205,254463416,13852899,19366887,23450926,17174320,14081165,14081166,19645856,26380018,26380019,34257346,31701624,31701625,26380011,19645850,19645849,26380008,34257353,31936037,24398158,24398159,31936041,38796463,38796462,48717644,268034262,38796452,48717621,41216390,254925322,21515607,21515606,28778409,24398156,24398155,28234789,36613883,42914133,254463384,28234785,36728883,46616682,40659549,40659548,31936062,24398171,17995363,254958136,31936053,31935995,31935990,25552310,25552309,33313906,30212220,30212219,38796445,38796446,38796479,48717659,60112333,72848789,86443466,100399539,99818793,85865572,72274194,72274193,85865570,99818794,113833957,127703283,141052878,153719433,260632652,261755822,200965261,206932087,211861724,215889705,214974331,210769413,262768292,192042889,183493484,173715213,162706273,259444866,123933865,109797994,100799167,100799166,114013243,99987473,86025877,72428076,59692330,59692329,72428072,86025869,99987467,100799174,114013195,114288732,114288731,128172323,141530596,261097122,126411388,112541636,102504532,102504533,116609262,126411394,139785352,261571910,175159679,184735376,193096867,200272850,206333436,211344692,274075578,218825555,221684739,224139899,265517832,229748488,229748489,231191864 Dl.O(d2) = 19060283,13606940,9317375,6103482,3818919,2287926,1327385,1327386,2287927,3818921,6103487,9317386,13606953,19060300,19060357,254932967,9317404,13606988,19060361,25683699,33455453,42448660,48271261,48271260,49129849,256802380,68088582,55690705,44783275,254702700,267877202,27236736,26902631,26902630,34982480,44360108,49760506,254994754,25402117,25402119,33141991,42096139,52449038,46848360,46848359,58216289,255555170,35357721,35357722,35357689,35357690,35359635,44783377,55690235,44782702,35359541,35359542,44783312,38932131,38932130,35360152,27237473,27237474,27237018,27237017,30346248,31039244,23557121,17247938,17247936,23557118,31039239,27235763,27235762,268369144,35358516,27235680,256237641,44782426,40928006,32150474,24567073,18126919,12853561,8740775,8740776,12853563,18126922,24567075,27236489,25690670,25690672,33462823,37852742,44783969,55691280,68089156,76300906,76300907,70999062,58283912,46918104,37040153,31429192,23938014,23938015,23938777,21824613,21824614,29131691,37693238,29318155,29318156,37886853,47809822,58442848,47066514,37173908,37173909,47066516,58317980,46951049,37071265,37071263,257199669,46951039,42162759,33202855,33202854,28568712,21341173,21341174,28568713,256856897,46951041,58317994,71033674,84598042,98523099,112518038,115068774,100997618,87003961,84598040,84598039,259258034,87003957,73388381,60641881,49241131,49241130,60641879,60641885,49241133,39314237,257021903,49241125,39314231,30715995,30715994,39314229,49241122,60641865,258832963,78500265,77417399,73388362,73388361,85860992,91336105,91336104,105554149,105554147,105554148,100997605,100997606,115068768,113829676,113829677,127699250,272557931,153715997,141049078,140740884,140740885,149515216,140740897,127384923,113515034,113515033,127384921,271850758,134060297,134060296,120225479,106023913,91829680,91829679,106023906,113829690,113829691,107864870,259676801,91829690,91829693,77909008,77909009,77909071,91829764,106023938,91829706,77909021,64720779,64720778,64720767,64720766,61512984,61512985,61512988,50034544,40015629,40015630,33392083,25626961,19012106,19012107,25626964,33392087,33348608,33348609,25648644,19030550,19030551,19012109,13569190,13569191,18979379,18979380,25588286,33348615,31337053,25648617,19030527,18979452,18979453,25588358,25588290,19066544,13611776,9320590,6105530,3820174,3820176,6105526,9298092,6133918,3837627,2299107,2299106,3837623,6133913,9338579,9338580,13579697,13583745,13611774,13611775,13676763,18979433,18979372,18979373,19086842,13627195,9331304,267862919,3824489,6112323,9331302,9275629,9275628,13549118,9320588,9271346,9271347,12801286,254931563,9301079,13583783,19030571,19030561,13583775,9301075,6092759,3812033,2283491,1324485,1324484,2283488,3812029,6092752,9301061,13583760,19030538,25648628,33416451,42406641,52806899,64720759,52806870,42406624,42406625,52806873,52806852,52806845,52806844,52806879,52806876,52806862,52806863,64720749,64720771,64720770,64720756,64720757,77909054,85773492,91829740,77909051,64720755,64720753,64720754,77909049,258423086,77909066,64720769,64720768,258423091,64720774,77909068,91829761,106024004,113741388,99727247,85773493,72179135,59440681,48048867,48048868,59440684,72179128,72179129,85773484,99727235,86683912,73079714,60339796,48942676,39019571,39019572,48942679,58165353,58165354,70879281,84436511,84436510,98346018,98346026,86873639,73261132,73261131,86873637,95346292,95346291,95346298,81290032,81290033,95346294,81290029,67823862,55482199,44632000,35247557,27149353,27149354,35247560,44632005,49112275,49112274,255717484,30585063,23167095,23167094,30585062,39182841,43217549,34129863,34129862,43217548,53729405,62032464,53881325,50540787,50540716,50540715,43356649,34256726,26379193,19645116,19645114,17912530,17912529,24294744,19645369,19645370,26379444,24294719,17912512,12690573,8621032,8621033,12690576,17912514,19366889,19366888,254115574,17912523,24294735,31809879,34129868,26263509,19543662,13994438,13994439,19543663,26263512,34129875,43217555,53729414,43356859,254211856,34129883,34129884,40505337,32393328,24770766,18291852,18291851,14080861,14080859,9685142,6370488,3997433,2395547,1386290,788438,788437,1386288,2395543,3997426,6370475,9685110,14080831,19645410,26379496,34256977,43356882,53881331,43356900,43356902,43356890,34256991,26379513,19645430,14080845,14080844,19645408,19645407,26379494,34129880,26263517,19543667,19543665,24294728,26380027,26380028,34257593,43357457,53380527,42914137,33868396,26046205,254463416,13852899,19366887,23450926,17174320,14081165,14081166,19645856,26380018,26380019,34257346,31701624,31701625,26380011,19645850,19645849,26380008,34257353,31936037,24398158,24398159,31936041,38796463,38796462,48717644,268034262,38796452,48717621,41216390,254925322,21515607,21515606,28778409,24398156,24398155,28234789,36613883,42914133,254463384,28234785,36728883,46616682,40659549,40659548,31936062,24398171,17995363,254958136,31936053,31935995,31935990,25552310,25552309,33313906,30212220,30212219,38796445,38796446,38796479,48717659,60112333,72848789,86443466,100399539,99818793,85865572,72274194,72274193,85865570,99818794,113833957,127703283,141052878,153719433,260632652,261755822,200965261,206932087,211861724,215889705,214974331,210769413,262768292,192042889,183493484,173715213,162706273,259444866,123933865,109797994,100799167,100799166,114013243,99987473,86025877,72428076,59692330,59692329,72428072,86025869,99987467,100799174,114013195,114288732,114288731,128172323,141530596,261097122,126411388,112541636,102504532,102504533,116609262,126411394,139785352,261571910,175159679,184735376,193096867,200272850,206333436,211344692,274075578,218825555,221684739,224139899,265517832,229748488,229748489,231191864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15558993, s2 = 14067817, dlinesl.size( ) = 2 s1 = 15558993, s2 = 14067817, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15558993, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 11231259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231259, s2 = 14343291, int(edited[s2]) = 0 s1 = 11231259, s2 = 14343291, d1 = 41, d2 = 53 Dl.O(d1) = 255673744,42451961,52856010,43167580,43167579,53677851,65733890,73127203,61991861,61991860,74788359,61991826,50499862,50499863,269887519 Dl.O(d2) = 265288375,265882418 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231283, s2 = 12242626, int(edited[s2]) = 0 s1 = 11231283, s2 = 12242626, d1 = 22, d2 = 30 Dl.O(d1) = 260295386,255680485,19066178 Dl.O(d2) = 254148519,243263,134453,73082,73086,73401,39724,39721,73039,73403,39724,39722,72766,39509,21765,21763,39496,72730,133645,241698,428210,428214,753781,1321242,2277487,1320706,753429,753428,753535,1320878,1333783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231283, s2 = 12242626, dlinesl.size( ) = 32 s1 = 11231337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231337, s2 = 11477628, int(edited[s2]) = 0 s1 = 11231337, s2 = 11477628, d1 = 13, d2 = 15 Dl.O(d1) = 260296087 Dl.O(d2) = 262948213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231337, s2 = 11477628, dlinesl.size( ) = 16 s1 = 15202360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11231787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231787, s2 = 10397940, int(edited[s2]) = 0 s1 = 11231787, s2 = 10397940, d1 = 1, d2 = 1 Dl.O(d1) = 92376995,92376998,260310815,261470619,160108815,171334461,181362266,181362267,171334467,160108822,160108823,160108813,261112736,259933596,106680340,92376996,92376997,106680344,120932272,134729995,120932269,120932268,134729992,147855172,262181376,147855151,147855150,160108805,171334451,181362267,171334467,160108822,160108823,171334456 Dl.O(d2) = 92376995,92376998,260310815,261470619,160108815,171334461,181362266,181362267,171334467,160108822,160108823,160108813,261112736,259933596,106680340,92376996,92376997,106680344,120932272,134729995,120932269,120932268,134729992,147855172,262181376,147855151,147855150,160108805,171334451,181362267,171334467,160108822,160108823,171334456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231787, s2 = 10397940, dlinesl.size( ) = 2 s1 = 11231787, s2 = 10397940, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11231787, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10397939, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11231987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231987, s2 = 11513626, int(edited[s2]) = 0 s1 = 11231987, s2 = 11513626, d1 = 33, d2 = 0 Dl.O(d1) = 263741155 Dl.O(d2) = 224096898,221639470,264955297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231987, s2 = 11513626, dlinesl.size( ) = 50 s1 = 13537298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11232045, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16229472, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3036199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15202401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15202401, s2 = 2260948, int(edited[s2]) = 0 s1 = 15202401, s2 = 2260948, d1 = 76, d2 = 68 Dl.O(d1) = 116403179,130239415,143566697,156101690,262834591,187391141,263989531,263743008,184063480,263830203,205949051,205949029,199796463,192519077,184063455,174409123,163567586,151687290,138982895,138982894,151687289,163567585,174409120,184063450,174409141,263065095,184063463,174409131,263065093,174409115,163567584,163567585,174409120,184063451,192519070,192519135,184063510,263467759,199796531,205949073,199796519,192519119,184063507,184063506,192519132,184063512,184063511,192519137,199796535,199796463,192519077,184063455,174409123,174409122,184063452,192519072,199796457,205949021,211036538,264377588,199796475,199796461,192519076,184063455,174409123,174409122,184063452,192519072,264078092,184063457,174409127,163567589,163567590,174409130,184063461,263371712,174409124,184063445,174409114,163567584,163567585,174409120,184063450,174409141,163567600,151687297,151687296,163567591,263065093,174409115,163567584,163567585,174409120,184063450,184063474,192519098,199796483,199796504,192519109,192519108,199796501,205949058,211036566,264889658,205949034,199796468,192519080,184063457,174409127,174409126,174409134,184063467,174409167,174409168,184063501,192519123,184063514,174409177,163567621,262619467,174409143,163567618,151687307,138982901,125644698,125644696,138982896,151687296,163567591,263065093,174409115,163567584,163567585,174409120,184063451,184063508,174409172,163567617,151687306,138982901,125644698,111829944,97897333 Dl.O(d2) = 21885756,15809514,254753697,7251061,10955531,15809518,21885764,22554286,21885807,21885808,29085900,29085901,30588776,30241836,22848214,21885804,21885802,29198055,23650245,17333203,17333204,23650248,31021698,35029928,35036574,31168566,31168567,39850545,256986800,35016580,32768348,32768347,30693679,23278647,17020168,11935929,7988101,5084118,5084119,7988104,11935938,17020186,21784182,29082058,35019998,26939068,20053042,20053043,17522172,17522171,23278689,30693713,39291101,49217790,60618473,61354402,74135901,87741538,101715808,271855969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15202401, s2 = 2260948, dlinesl.size( ) = 2 s1 = 15202401, s2 = 2260948, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15202401, Dl.E( ) = 80, 2.72e-05 seconds used appending s1 = 11232189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11232189, s2 = 11102694, int(edited[s2]) = 0 s1 = 11232189, s2 = 11102694, d1 = 11, d2 = 9 Dl.O(d1) = 263371827,259648443,77360561 Dl.O(d2) = 259699394,13366212,9134854,5977780,3738231,2238091,255657537,258394221,62583957,62583958,63681422,62635280,51011575,44354207,34976654,26897466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11232189, s2 = 11102694, dlinesl.size( ) = 12 s1 = 11102693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11102693, s2 = 11232190, int(edited[s2]) = 0 s1 = 11102693, s2 = 11232190, d1 = 0, d2 = 4 Dl.O(d1) = 42638930,53087393,53087351,53087348,65070056,65489308,65489307,59053110,258394220,255657536,10905113,15745662,19216583,25875561,33681734,259699395 Dl.O(d2) = 121023419,259648442,263371826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11102693, s2 = 11232190, dlinesl.size( ) = 12 s1 = 11232325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11232325, s2 = 11097728, int(edited[s2]) = 0 s1 = 11232325, s2 = 11097728, d1 = 33, d2 = 108 Dl.O(d1) = 78481411 Dl.O(d2) = 14692771,20476234,27465392,35667230,45193907,46082217,46082214,45607208,35948739,35948737,45607195,56760765,56374507,45316972,35750137,35750135,45316963,36317706,31652691,31652687,27907326,27907324,36338174,45055599,45055598,44985489,35516324,27358625,20401836,14641562,10071879,6616432,4143579,4143576,2484258,1434869,1434870,1435248,1435167,815874,815870,1435194,2484861,2515663,4206616,6713792,10217915,14858326,20726751,27851945,36258152,46043499,57041108,57041110,61860415,74647822,77833338,64646920,52739547,255608172,33361536,269087107,20191179,14487320,14487321,20191181,22167942,22167941,20191241,14487366,14487365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11232325, s2 = 11097728, dlinesl.size( ) = 8 s1 = 11880982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16369697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16369697, s2 = 11074782, int(edited[s2]) = 0 s1 = 16369697, s2 = 11074782, d1 = 17, d2 = 1 Dl.O(d1) = 34191405,43288466,53813503,65881493,79245793,93373663,260951351 Dl.O(d2) = 42799217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16369697, s2 = 11074782, dlinesl.size( ) = 2 s1 = 16369697, s2 = 11074782, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16369697, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 11074781, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11232597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14931849, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11232777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15373749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11881208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8275994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13538730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11233227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11233359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11233359, s2 = 11300922, int(edited[s2]) = 0 s1 = 11233359, s2 = 11300922, d1 = 0, d2 = 10 Dl.O(d1) = 93017225,107425756,121808170 Dl.O(d2) = 143318765,143318764,135747518,121808168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11233359, s2 = 11300922, dlinesl.size( ) = 14 s1 = 11233399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11233399, s2 = 11234654, int(edited[s2]) = 0 s1 = 11233399, s2 = 11234654, d1 = 1, d2 = 13 Dl.O(d1) = 93138443 Dl.O(d2) = 129786260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11233399, s2 = 11234654, dlinesl.size( ) = 14 s1 = 10177511, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11234043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234149, s2 = 11378412, int(edited[s2]) = 0 s1 = 11234149, s2 = 11378412, d1 = 0, d2 = 13 Dl.O(d1) = 93442277 Dl.O(d2) = 260955055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234149, s2 = 11378412, dlinesl.size( ) = 20 s1 = 11234171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234345, s2 = 11543082, int(edited[s2]) = 0 s1 = 11234345, s2 = 11543082, d1 = 26, d2 = 38 Dl.O(d1) = 271118231,182947159,191581469,199003494,205280129 Dl.O(d2) = 274324417,218212175,218212176,221145799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234345, s2 = 11543082, dlinesl.size( ) = 8 s1 = 11234405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234405, s2 = 14297657, int(edited[s2]) = 0 s1 = 11234405, s2 = 14297657, d1 = 9, d2 = 5 Dl.O(d1) = 263008599,263784065 Dl.O(d2) = 264911963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234405, s2 = 14297657, dlinesl.size( ) = 14 s1 = 13540290, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11234653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234653, s2 = 11233400, int(edited[s2]) = 0 s1 = 11234653, s2 = 11233400, d1 = 2, d2 = 0 Dl.O(d1) = 94340326 Dl.O(d2) = 84772113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234653, s2 = 11233400, dlinesl.size( ) = 14 s1 = 3762401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16237802, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11234885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234885, s2 = 11556890, int(edited[s2]) = 0 s1 = 11234885, s2 = 11556890, d1 = 22, d2 = 35 Dl.O(d1) = 269297888,136759257,149900331,162112264,259878732 Dl.O(d2) = 133453998,119589437,105358268,105358267,260848973,146701164,159065280,170399871,180533370,263705559,203715759,209207445,209207447,203715760,203715759,265284867,265633335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234885, s2 = 11556890, dlinesl.size( ) = 24 s1 = 11234895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234895, s2 = 11015728, int(edited[s2]) = 0 s1 = 11234895, s2 = 11015728, d1 = 11, d2 = 9 Dl.O(d1) = 256280824 Dl.O(d2) = 36906542,46784262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234895, s2 = 11015728, dlinesl.size( ) = 28 s1 = 11235031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235031, s2 = 14042632, int(edited[s2]) = 0 s1 = 11235031, s2 = 14042632, d1 = 9, d2 = 13 Dl.O(d1) = 92462871,78426629,256240182,58464276,47086162,255833026,21422364,21422363,258680053,256644074 Dl.O(d2) = 137257969,137257961,123527466,109335826,254921578,81021955,71927401,71927402,85515063,81021962,75697812,75697814,89462927,77561529,77561528,85668479,72082201,59348881,59348880,254649966,72161399,59422269,48029831,38116812,38116811,48029828,59422266,59422251,256644080,26659797,26659799,34651179,33782923,25972582,19305503,13803527,9465792,9465793,13803529,13803476,13803475,19305421,25972467,33782833,34651158,34651157,39737062,39827317,31859816,24337722,17947709,17947708,17340902,17340903,23657854,26659832,26659833,34651207,37087023,28582316,21352643,15376328,10625320,10625318,15376323,21352632,26659859,31808438,24293446,17911385,17911384,17947732,12717981,8641412,8641413,12717987,17947742,254619728,13803491,19305447,25972509,24337510,19305471,19305473,22099616,15990246,11100463,11100464,13803512,255290113,25972553,255207612,19269281,25931319,29325686,33738102,37893747,37893748,37893763,29325732,21996098,15897461,11020740,11020741,15897462,21996101,21996021,21996020,21996137,256884036,9107495,5959342,3726846,3726847,5959344,9107498,255252485,19268224,13772423,9441827,9107594,9107593,255252499,255694779,19268947,268439419,12310383,8314914,254401057,1939840,1108057,621829,618102,618103,1101277,1100203,621858,618558,343761,343760,618556,1102040,1928835,3279222,5334679,8255539,5325713,3273434,1925351,1100094,617459,343203,188259,188263,343210,617470,1100109,254267551,1940003,1108148,621887,345615,254105725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235031, s2 = 14042632, dlinesl.size( ) = 14 s1 = 11235109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235313, s2 = 11411754, int(edited[s2]) = 0 s1 = 11235313, s2 = 11411754, d1 = 11, d2 = 13 Dl.O(d1) = 80403081,80403083,263041263 Dl.O(d2) = 81592465,271184109,137650841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235313, s2 = 11411754, dlinesl.size( ) = 14 s1 = 11235369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235663, s2 = 10371412, int(edited[s2]) = 0 s1 = 11235663, s2 = 10371412, d1 = 3, d2 = 6 Dl.O(d1) = 81046125,67578270 Dl.O(d2) = 100129949,100129948,86164161,72565930,59830464,59830465,71326965,76454389,74810876,62014531,50522726,40487068,40487067,50522724,62014526,60864195,60864194,61384964,74165543,87770130,101743057,115788668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235663, s2 = 10371412, dlinesl.size( ) = 2 s1 = 11235663, s2 = 10371412, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11235663, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10371413, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14197646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14197646, s2 = 7015096, int(edited[s2]) = 0 s1 = 14197646, s2 = 7015096, d1 = 60, d2 = 53 Dl.O(d1) = 9334741,13421320,13421319,17488013,12330360,8329571,5375911,3305686,254849283,17488010,23825144,31314224,39990870 Dl.O(d2) = 261373958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14197646, s2 = 7015096, dlinesl.size( ) = 2 s1 = 14197646, s2 = 7015096, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14197646, Dl.E( ) = 100, 5.39e-05 seconds used appending s1 = 11235717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235717, s2 = 11307560, int(edited[s2]) = 0 s1 = 11235717, s2 = 11307560, d1 = 4, d2 = 19 Dl.O(d1) = 260986647,127942939,127942938,272216988,262252026,141302659 Dl.O(d2) = 260013243,114063016,100036336,86073133,72475023,59739849,59739850,72475019,86073126,100036329,100036337,86073133,270327886,84436407,84436408,98345904,86073125,258146073,48356346,257423058,16366411,11391377,10878425,7192096,4530879,4530823,4530825,7192039,10878326,7504832,4743865,2858962,2858963,4530831,2882862,2882861,4784134,4743873,4743871,4785482,2883973,1673536,1673535,2883968,4530709,4530708,7191928,8349920,8349921,7470624,4721093,4721095,4530991,2723647,2723649,3313979,3313980,4784731,254536199,254782329,2882993,1672887,1672890,952524,537074,537075,301157,301156,537131,952629,952081,536840,301002,166701,91794,50654,28464,28465,50660,91808,166732,301071,536941,536940,536883,536884,952169,1673727,1673988,1673453,1673454,1674503,1673068,1673070,952178,536888,536889,952184,1673754,2884272,4785406,4785407,4786444,254240493,952443,952444,1674176,2884855,2883746,1674460,952615,952613,952368,952367,1674029,254358235,4784997,4457467,2677798,1551096,1551094,2677788,4457455,7079856,4785236,4785234,7567571,10715974,10714857,10714856,10714858,7078776,7078775,7567748,11390513,10878476,7569218,7079306,4457064,2677559,1550965,881764,497580,497581,881770,881715,497556,497555,881711,1550852,2677358,2677449,1550907,1550910,2677457,4456905,7079100,10715299,15494728,10715980,10715981,11390142,7567350,7567349,11390138,15495388,21502262,21502263,21501463,15494214,15494215,11155699,11155698,7399360,4674368,2816090,2816089,4674364,7399352,11155720,16066205,21503403,21503406,28761548,21501902,21501904,28761551,31279148,29312787,21984802,21984800,21501832,21501834,17758871,12566665,12566666,17758875,24119994,29510187,22169228,22169230,21501286,255840315,29900545,29900544,37296284,28762883,21503090,15495503,10716011,255039247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235717, s2 = 11307560, dlinesl.size( ) = 2 s1 = 11235717, s2 = 11307560, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11235717, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 11235719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235737, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11235759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235759, s2 = 11263694, int(edited[s2]) = 0 s1 = 11235759, s2 = 11263694, d1 = 22, d2 = 21 Dl.O(d1) = 257842410 Dl.O(d2) = 257753345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235759, s2 = 11263694, dlinesl.size( ) = 48 s1 = 11235929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235929, s2 = 10571609, int(edited[s2]) = 0 s1 = 11235929, s2 = 10571609, d1 = 18, d2 = 2 Dl.O(d1) = 257908627,257325604,26986532,35070117,44444377,55288517,67626487,259158045,109403283,123594872 Dl.O(d2) = 137326013,137326014,262083577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235929, s2 = 10571609, dlinesl.size( ) = 8 s1 = 11236053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236101, s2 = 11651850, int(edited[s2]) = 0 s1 = 11236101, s2 = 11651850, d1 = 7, d2 = 4 Dl.O(d1) = 265138689 Dl.O(d2) = 264918734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236101, s2 = 11651850, dlinesl.size( ) = 8 s1 = 11236247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236247, s2 = 11455402, int(edited[s2]) = 0 s1 = 11236247, s2 = 11455402, d1 = 0, d2 = 3 Dl.O(d1) = 95205252 Dl.O(d2) = 113023251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236247, s2 = 11455402, dlinesl.size( ) = 20 s1 = 11236333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236333, s2 = 13874901, int(edited[s2]) = 0 s1 = 11236333, s2 = 13874901, d1 = 9, d2 = 13 Dl.O(d1) = 262579871 Dl.O(d2) = 199312094,205543473,210697746,214908222,218372926,221284809,223779167,225941306,227827457,229483726,230955613,266194821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236333, s2 = 13874901, dlinesl.size( ) = 14 s1 = 11236417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236417, s2 = 10470762, int(edited[s2]) = 0 s1 = 11236417, s2 = 10470762, d1 = 23, d2 = 10 Dl.O(d1) = 260404587,137403395,150442817,162571114,173601004,183394861,173600997,173600996,183394857,191956605,199321686,264424927,205553114,205553100,205553099,205553063,199321674,199321675,205553067,210707163,210707198,264925575,214917289,210707202,205553117,199321711,191956624,183394868,173601003,173601004,183394861,173600997,173600996,183394857,191956605,199321686,264424927,205553114,205553100,205553099,205553063,199321674,199321675,205553067,210707163,210707198,264925575,214917289,264881076,205553123,205553122,210707192,210707193,210707177,205553085,205553082,210707173,214917284,214917277,210707159,210707158,214917276,214917291,214917280,210707167,205553071,199321678,199321679,205553074,210707164,205553111,199321704,191956620,191956619,191956610,191956609,264132063,210707173,214917284,214917277,210707174,205553083,205553082,210707173,214917284,214917277,210707159,210707158,214917276,214917291,214917280,210707167,205553071,199321678,199321679,205553073,210707169,210707179,210707181,210707187,264687793,264424924,209523233,213981020,213981045,274170368,210707184,210707185,214917279,210707167,205553071,199321678,199321679,205553073,210707169,210707179,210707181,210707187,264687793,264424924,209523233,213981020,213981045,274170368,210707184,205553087,199321689,199321677,191956598,183394854,173600991,162571110 Dl.O(d2) = 264687795,205553114,205553100,205553099,264925573,221291600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236417, s2 = 10470762, dlinesl.size( ) = 2 s1 = 11236417, s2 = 10470762, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11236417, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 15115507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2246861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2246861, s2 = 7199108, int(edited[s2]) = 0 s1 = 2246861, s2 = 7199108, d1 = 98, d2 = 93 Dl.O(d1) = 60334424,48936628,39013459,39013460,48936630,60334427,60334434,60334433,269511446,55241117,44392364,44392363,44832463,35407019,27281323,20345806,20345805,27281322,35407018,44832461,44392369,44392368,55241121,62829842,254928712,41023689,255269752,64613324 Dl.O(d2) = 263906031,264507549,265693852,273034027,135913407,264187219,263160344,175364312,264474875,264440078,155379590,142792081,261599928,141144046,153816971,165598147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2246861, s2 = 7199108, dlinesl.size( ) = 8 s1 = 11237087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237087, s2 = 14018864, int(edited[s2]) = 0 s1 = 11237087, s2 = 14018864, d1 = 2, d2 = 5 Dl.O(d1) = 81542596 Dl.O(d2) = 44750845,55659003,254984646,81542600,255758104,59273687,256235282,95573060,255758102,109773289,95573059,81542594,68055803,254984646,68055809,55659008,44750847,254216186,20273666,254096068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237087, s2 = 14018864, dlinesl.size( ) = 2 s1 = 11237087, s2 = 14018864, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11237087, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11237175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237175, s2 = 11427770, int(edited[s2]) = 0 s1 = 11237175, s2 = 11427770, d1 = 3, d2 = 7 Dl.O(d1) = 259806253 Dl.O(d2) = 262097947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237175, s2 = 11427770, dlinesl.size( ) = 8 s1 = 11237273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237273, s2 = 11283260, int(edited[s2]) = 0 s1 = 11237273, s2 = 11283260, d1 = 28, d2 = 31 Dl.O(d1) = 261008275,114513454 Dl.O(d2) = 100489499,86530759,72932248,257215106,30288059,30286781,22888992,16660105,16271146,11313980,7512287,7512286,9786645,9786643,13679675,269311168,72410403,270845201,261733531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237273, s2 = 11283260, dlinesl.size( ) = 28 s1 = 14008191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11237485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237485, s2 = 11521212, int(edited[s2]) = 0 s1 = 11237485, s2 = 11521212, d1 = 49, d2 = 42 Dl.O(d1) = 255438362,20339086,14597086,10044075,6600551,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538499,12418274,15006611,15006675,18705024,25277544,25285058,25285057,18736855,255003986,255003988,20828242,27285313,20350144,17672390,17672393,24021897,22722206,22722205,22728121,27985916,27985914,36445432,255012662,39821231,33013009,25288068,18715150,13321852,9101839,9092620,5948450,3719949,2227495,2227497,2227480,2227484,3719910,5948379,9092491,13311553,14941167,14586696,14586697,20119091,14428356,9924940,6522959,4087039,4087040,6522960,9924941,14428172,14428171,20118878,20911316,23849936,17507497,17507496,14607606,10051493,10051494,14607609,20351012,14607999,12128052,12128053,14407095,14407094,14407180,20094443,268063454,29742158,22383083,16515344,255002714,255001230 Dl.O(d2) = 265444083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237485, s2 = 11521212, dlinesl.size( ) = 38 s1 = 11237753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237753, s2 = 11384118, int(edited[s2]) = 0 s1 = 11237753, s2 = 11384118, d1 = 10, d2 = 37 Dl.O(d1) = 83524280 Dl.O(d2) = 258567739,96138419,259750188,69591000,258590589,56828204,45658800,35983790,35983791,45658802,56828209,69410679,257803225,42341445,42341446,52730185,62762440,258956061,103571132,117703789,131507807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237753, s2 = 11384118, dlinesl.size( ) = 28 s1 = 11238083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238083, s2 = 11359504, int(edited[s2]) = 0 s1 = 11238083, s2 = 11359504, d1 = 32, d2 = 2 Dl.O(d1) = 257181246,27993658,30919149,39529500,258227455,87237874,101238202,101238201 Dl.O(d2) = 180907211,262755460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238083, s2 = 11359504, dlinesl.size( ) = 42 s1 = 15164423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15164423, s2 = 6671475, int(edited[s2]) = 0 s1 = 15164423, s2 = 6671475, d1 = 20, d2 = 40 Dl.O(d1) = 265565642 Dl.O(d2) = 79195597,65833693,257759740,19576487,14024079,9640419,9640422,9640367,6337431,3975429,3975428,6337426,9640357,14023951,19576294,26299250,34167201,43257482,53772977,43257075,34166774,26298860,26298857,255483087,11534931,11534932,16549406,21714254,15671330,15671328,21714248,24111842,17751430,17751428,24111837,30150930,22763355,16550390,16550389,255935287,28402106,256842455,257170669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15164423, s2 = 6671475, dlinesl.size( ) = 2 s1 = 15164423, s2 = 6671475, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15164423, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 11238679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238679, s2 = 16294383, int(edited[s2]) = 0 s1 = 11238679, s2 = 16294383, d1 = 14, d2 = 23 Dl.O(d1) = 260477015 Dl.O(d2) = 125448642,111646150,259864610,20830202,271283465,263055623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238679, s2 = 16294383, dlinesl.size( ) = 20 s1 = 11238809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238809, s2 = 11107694, int(edited[s2]) = 0 s1 = 11238809, s2 = 11107694, d1 = 16, d2 = 14 Dl.O(d1) = 259259366 Dl.O(d2) = 255793034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238809, s2 = 11107694, dlinesl.size( ) = 14 s1 = 11238839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238839, s2 = 10178704, int(edited[s2]) = 0 s1 = 11238839, s2 = 10178704, d1 = 7, d2 = 11 Dl.O(d1) = 84035158,70500394,57799573,46444378,36579297,28107341,20930932,15022965,10350784,10350782,15022963,14924865,14924864,20822706,254707428,16524424,11516432,11516433,16524426,22729765,30110345,38686619,48602600,55446611,67789832,81258824,77358487,77358486,66878440,54620577,43878200,43878199,52362706,57648836,51531062,43963306,34688061,34688060,43963303,36985967,36985968,33563019,25773718,25773719,33563021,42579724,40395790,40260624,34645014,26653958,19840429,17770734,14126694,254095400,6393177,4012061,2404491,2404489,4012051,6393141,9718193,12550791,254280586,3398441,2003612,2003615,3398447,5510153,8509785,12550828,17738352,24096988,31601283,31639858,24182303,17813881,12611928,12611927,11982762,11982758,8511976,5511340,5511339,267773294,10411558,15096074,12279597,9847427,6467774,4052568,4052567,4030533,4030531,5530989,3416620,2016987,1153875,647323,647325,1153863,2016958,2188786,3658583,4012015,4012016,6393080,9718061,12589435,12589436,15538629,10746501,10746502,15538633,21559553,25241600,25241602,24187024,24187023,31659878,31642002,24135308,17771583,17771582,17800822,17800823,17711365,12528809,8490297,5491205,254072686,1991356,3381736,5491221,8490330,12528873,12620308,12620309,17727581,17711252,17711247,19702117,19702116,26441282,30350264,30350265,24149477,17782509,12585289,8537647,5535602,3421048,2020437,2020438,3421052,5535608,8537653,11964433,11964432,17055143,23319733,17826833,17826834,24081400,267913320,25465314,18865054,18865053,254607316,25077506,25077505,24082205,17724943,17724944,24082206,22826676,22826675,30219026,27982216,27982217,31640761,35128608,27041679,20148756,18787320,18787319,21798281,21798282,21794235,15735268,15735269,21794238,29092270,26444269,26444270,25426362,18832897,13418109,9174336,6004766,3755310,2249009,1304670,1304672,2249002,3755300,6004698,3755272,3755266,3755265,6004687,9174218,7209017,7209018,10900190,7209411,4542395,2730572,1582181,899479,507365,507369,899488,1582200,2730615,4542475,7209471,10900995,10434981,6879302,6879301,10434974,10900652,15739488,21799274,26586172,26586173,28294829,21087728,21087727,255552520,30199895,22809076,22809077,30199896,38784179,48706285,48804466,48804467,60200754,65943957,65944001,65944002,79308313,79308314,77575100,64407245,53876258,43351076,34250998,34250996,256152772,65943896,79308366,93439001,86787578,73174673,60427739,60427740,256460696,49024049,257005120,256460694,49024048,257005118,256645482,42174605,42174604,52532358,64405607,72907848,72907850,73174682,73174684,75418232,75418285,62499118,62499120,64431360,52556758,42197637,42197632,52556741,64431335,65730697,53674778,43164629,34081481,26221011,26221012,34081482,43164630,53674780,65730698,79086371,79308295,77600303,77600302,79308550,65944061,58655941,269787087,84965849,93439185,107866826,122279876,107866633,93438951,79308310,79308309,93438948,107866630,105754197,91531100,77600330,64431374,64431375,256854906,72217881,85018760,98944322,100462666,100462665,107866559,105754179,105730266,91505939,91505938,105730264,100768779,86787580,86787579,79308410,65943940,53876281,43351089,34251005,26373837,19640447,14076651,14076652,19640452,26373845,34251022,43351117,256669862,79308502,93439104,107866747,120912137,106659149,92354558,78321014,78321015,79308223,79308222,92354560,106659152 Dl.O(d2) = 79308502,93439106,100768783,111844650,122279948,122279949,119965984,105730262,91505937,77575077,64407225,64407227,77575080,91505944,105728998,119964774,122279964,114519845,114519844,107866694,107866695,107866681,93439010,93439012,104225590,107866572,93438899,79308254,65943806,53876185,53876184,65943804,79308236,65943791,53876174,43351033,43351035,53876178,65943796,79308239,91504559,91504560,105728984,107866762,99765721,91504573,77573563,64405596,64405594,77573559,90093039,104225556,105729002,119964778,122279948,122279949,133833442,134710931,120912136,106659149,92354558,78321014,78321015,79308223,79308222,92354560,106659152,120912140,107866694,107866695,107866681,93439010,93439012,104225590,107866572,93438899,79308254,65943806,53876185,53876184,65943804,79308236,65943791,53876174,43351033,43351035,53876178,65943796,79308239,91504559,91504560,105728984,107866762,99765721,91504573,77573563,64405596,64405594,77573559,90093039,100452926,86494400,73174682,73174684,75418232,75418285,62499118,62499120,64431360,52556758,42197637,42197636,52556749,64431347,77600300,90775485,89166103,86537459,79308408,79308406,79308267,65943944,53876281,43351089,34251005,26373837,19640447,14076651,14076652,19640452,26373845,34251022,43351117,256669862,79308502,93439106,100768783,111844650,122279948,122279949,133833442,122279807,122279808,120912139,106659151,92354559,79308223,256669846,43351031,43351035,53876178,65943796,79308239,91504559,91504560,105728984,107866762,99765721,91504573,77573563,64405596,64405594,77573559,90093039,100452926,86494400,73174682,73174684,75418232,75418285,62499118,62499120,64431360,52556758,42197637,42197635,52556746,64431341,53876237,53876236,63261170,76280456,90093080,86704536,86704538,93439014,79308379,65943913,53876262,43351078,43351064,43351063,53876232,53876322,65944003,79308486,79086374,79086373,73174692,60427755,255960030,30499198,30499197,39095113,49024051,257005120,60427750,60427751,73174690,258043538,73174670,60427738,49024042,49024041,60427737,73174668,77573570,64405604,64405603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238839, s2 = 10178704, dlinesl.size( ) = 2 s1 = 11238839, s2 = 10178704, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11238839, Dl.E( ) = 12, 1.29e-05 seconds used appending s1 = 16386967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11238985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238985, s2 = 11303928, int(edited[s2]) = 0 s1 = 11238985, s2 = 11303928, d1 = 1, d2 = 12 Dl.O(d1) = 97936580 Dl.O(d2) = 125690155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238985, s2 = 11303928, dlinesl.size( ) = 20 s1 = 11239027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239027, s2 = 15025119, int(edited[s2]) = 0 s1 = 11239027, s2 = 15025119, d1 = 38, d2 = 59 Dl.O(d1) = 260543138,255008569,6836430,6769722,6769721,254440807,2229119,1292745,737786,419322,236615,130531,70753,70749,70759,70763,130562,236672,419432,737977,1293098,2229754,3722828,5952963,4292016,2566078,1477559,1477556,2566073,4292009,256282663 Dl.O(d2) = 221510930,223979483,221510929,221510930,223979483,221510940,221510939,223979494,223979492,223979491,223979492,221510935,221510936,223979488,221510931,221510932,223979484,223979483,221510940,218630346,215207638,215207639,218630344,215207637,264944511,221510933,223979490,265686939,223979487,221510931,218630342,265157661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239027, s2 = 15025119, dlinesl.size( ) = 50 s1 = 11239081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239081, s2 = 11172628, int(edited[s2]) = 0 s1 = 11239081, s2 = 11172628, d1 = 25, d2 = 22 Dl.O(d1) = 84078364,84078365,259883121,125707521,260485035 Dl.O(d2) = 46483277,46483278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239081, s2 = 11172628, dlinesl.size( ) = 26 s1 = 11239095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239095, s2 = 14085546, int(edited[s2]) = 0 s1 = 11239095, s2 = 14085546, d1 = 1, d2 = 1 Dl.O(d1) = 97955229,111892980,97955249,97955248,111892998,111892997,125710719,139049786,151751911,163627164,151751904,139049775,125710707,111892989,261064545,269375126,256486804,31234119,27211659,27211658,28357236,30848040,27211884,20283540,20283539,27211883,267947236,13201825,18577124,18740469,18740468,25318526,255881936,12071802,255151845,23442864,256488659,21902356,21902355,29216646,37777647,33045850,33045849,41989424,39452283,30848041,23417706,23417705,30848040,30172903,22784179,22784178,30172902,30172901,26590866,19785733,19785734,15057064,15057063,10382778,10382776,15057111,15057014,15057017,14897290,10243564,6730753,4217122,4217123,6730755,7142883,4878098,2939274,2939276,4878108,7707879,11578656,255940439,257113786,28637710,21397482,21397483,28637711,37153106,47043529,37153111,37153101,268124366,21397480,28637708,37153100,46965963,37084710,37084711,256571448,71049676,84613777,98538263,112532514,126402363,119624431,105387972,102504389,88495695,259547805,260162319,88495696 Dl.O(d2) = 97955229,111892980,97955249,97955248,111892998,111892997,125710719,139049786,151751911,163627164,151751904,139049775,125710707,111892989,261064545,269375126,256486804,31234119,27211659,27211658,28357236,30848040,27211884,20283540,20283539,27211883,267947236,13201825,18577124,18740469,18740468,25318526,255881936,12071802,255151845,23442864,256488659,21902356,21902355,29216646,37777647,33045850,33045849,41989424,39452283,30848041,23417706,23417705,30848040,30172903,22784179,22784178,30172902,30172901,26590866,19785733,19785734,15057064,15057063,10382778,10382776,15057111,15057014,15057017,14897290,10243564,6730753,4217122,4217123,6730755,7142883,4878098,2939274,2939276,4878108,7707879,11578656,255940439,257113786,28637710,21397482,21397483,28637711,37153106,47043529,37153111,37153101,268124366,21397480,28637708,37153100,46965963,37084710,37084711,256571448,71049676,84613777,98538263,112532514,126402363,119624431,105387972,102504389,88495695,259547805,260162319,88495696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239095, s2 = 14085546, dlinesl.size( ) = 2 s1 = 11239095, s2 = 14085546, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11239095, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14085545, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11239099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239099, s2 = 10987078, int(edited[s2]) = 0 s1 = 11239099, s2 = 10987078, d1 = 9, d2 = 7 Dl.O(d1) = 267812980,6274337,3928538,2351902 Dl.O(d2) = 2312835,3822060,3928885,3876660,2351186,2351185,3927522,2352700,2352701,3929857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239099, s2 = 10987078, dlinesl.size( ) = 14 s1 = 11239123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239123, s2 = 11308486, int(edited[s2]) = 0 s1 = 11239123, s2 = 11308486, d1 = 10, d2 = 9 Dl.O(d1) = 97958226,111895896 Dl.O(d2) = 260029685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239123, s2 = 11308486, dlinesl.size( ) = 12 s1 = 14032525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11239525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239525, s2 = 11339650, int(edited[s2]) = 0 s1 = 11239525, s2 = 11339650, d1 = 9, d2 = 13 Dl.O(d1) = 259889199,125936622 Dl.O(d2) = 151992339,262350592,164230935,261843810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239525, s2 = 11339650, dlinesl.size( ) = 14 s1 = 11239549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14197846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11239681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239681, s2 = 14197847, int(edited[s2]) = 0 s1 = 11239681, s2 = 14197847, d1 = 1, d2 = 1 Dl.O(d1) = 84283645,70731641,58016485,46643012,36757562,28262387,21060386,15127644,15127643,21060385 Dl.O(d2) = 84283645,70731641,58016485,46643012,36757562,28262387,21060386,15127644,15127643,21060385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239681, s2 = 14197847, dlinesl.size( ) = 2 s1 = 11239681, s2 = 14197847, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11239681, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14197848, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11239693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239693, s2 = 11158382, int(edited[s2]) = 0 s1 = 11239693, s2 = 11158382, d1 = 13, d2 = 4 Dl.O(d1) = 257043730,28265395,255993554,46731305,58103107,58800390,58263867,46896962,254194038,21299179,21299178,28520201,254283702,254877232 Dl.O(d2) = 31794446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239693, s2 = 11158382, dlinesl.size( ) = 14 s1 = 14197860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14197860, s2 = 1385922, int(edited[s2]) = 0 s1 = 14197860, s2 = 1385922, d1 = 29, d2 = 31 Dl.O(d1) = 48511917,256425281 Dl.O(d2) = 35229266,44610222,55458641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14197860, s2 = 1385922, dlinesl.size( ) = 2 s1 = 14197860, s2 = 1385922, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14197860, Dl.E( ) = 56, 2.5e-05 seconds used appending s1 = 11239923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13560865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11239975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11239975, s2 = 11493312, int(edited[s2]) = 0 s1 = 11239975, s2 = 11493312, d1 = 20, d2 = 27 Dl.O(d1) = 259896967,126101410 Dl.O(d2) = 139473485,272826649,264164961,210662957,263907508,199268438,264420605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11239975, s2 = 11493312, dlinesl.size( ) = 28 s1 = 11240075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240075, s2 = 10838122, int(edited[s2]) = 0 s1 = 11240075, s2 = 10838122, d1 = 1, d2 = 1 Dl.O(d1) = 258470286,46722835,46722836,36840119,28343340,21131015,15182132,10472238,10472241,15182139,21131027,28343353,36840141,46722966,58095059,50088783,40067432,31384782,31384781,40067428,50088681,50088679,50348210,50348208,50348202,50348201,61531581,61531582,61568857,50521173,40485611,40067339,31384717,23888105,23888104,31384712,31384690,31384688,31384677,31384678,40067287,50088628,61568736,74345772,87948052,74345859,61568907,50088822,48724736,38803955,30220265,30220266,36840110,28343332,21131008,21131009,21131021,21131019,28343345,31790510,31790509,40485596,50521162,61568867,50088778,50088777,61568864,52687221,42300503,33319795,33319797,42300506,52687226,61531593,50052304,50052303,61531587,61531599,61531600,50088673,40067328,31384703,31384702,31384693,23888096,17541506,12372648,8360685,5396511,5396512,8360688,12372653,17541515,23888110,31384724,40067349,40067466,40067523,48724732,46722914,46722913,46722918,50521124,40485551,40485552,40485598,31790512,24276832,24276833,31790518,40485608,50521166,62013024,52687214,52687215,64587713,64587716,77770572,87912820,74309018,61531596,50052309,40032198,31351946,31351947,40032199,40067462,31384805,23888182,23888183,31384683,23888091,17541536,12372664,8360693,5396516,3318390,3318391,5396522,8360705,12372691,17541572,23888200,31384826,40067482,40032059,39976686,31790468,24276798,17896429,12676721,12676722,17896435,24276805,17896476,17896466,17896467,24276837,31790529,40485620,50088796,61568881,61531432,61531140,50051815,50051816,61531144,61531148,50521274,50088619,40067278,40032194,40032191,50052299,50052387,40067459,31384802,31384765,31384764,31384738,23888127,17541523,12372656,12372658,12372672,8360697,8360699,12372679,17541553,17515239,17515238,23858372,31351857,39976687,31301998,23815425,17896449,12676732,8608982,5594536,3471102,3471103,5594540,8608991,12676753,17896472,24276846,31790536,40067440,50088803,40321835,31633031,31633030,40031733,50051823,50615676,40573399,40573397,46328859,46328858,40032274,31351997,31351998,40032277,50052156,40032379,40032378,40067359,31384732,23888116,17541517,17541519,17541544,17541545,23888146,23888160,23888161,23858364,23858365,24071224,31576934,39976701,31302005,23815428,23815429,17896438,12676727,12676729,12676745,8608987,8608986,12676739,17896456,24276824,31790499,40485581,40485677,50521239,50348239,50348235,50348237,40485631,40485630,40573404,31870310,31870309,40573401,40573416,50052378,40032267,40032269,50052383,40032392,31352075,31352073,40032387,50052498,50088719,40067382,31384755,31384756,40067389,31576928,24071221,17714991,12531684,12531686,17715000,24071233,31576941,39976691,31302000,31302002,39976696,49992816,40485574,31790491,24276821,24276819,31790485,40485569,40485586,31790597,24276886,24276884,31790593,40485707,50521267,50615681,40573412,40573410,31870331,24346768,24346769,31870336,40573430,50615697,62115142,62115894,61531705,50052499,50052492,269921868,50615693,40573424 Dl.O(d2) = 258470286,46722835,46722836,36840119,28343340,21131015,15182132,10472238,10472241,15182139,21131027,28343353,36840141,46722966,58095059,50088783,40067432,31384782,31384781,40067428,50088681,50088679,50348210,50348208,50348202,50348201,61531581,61531582,61568857,50521173,40485611,40067339,31384717,23888105,23888104,31384712,31384690,31384688,31384677,31384678,40067287,50088628,61568736,74345772,87948052,74345859,61568907,50088822,48724736,38803955,30220265,30220266,36840110,28343332,21131008,21131009,21131021,21131019,28343345,31790510,31790509,40485596,50521162,61568867,50088778,50088777,61568864,52687221,42300503,33319795,33319797,42300506,52687226,61531593,50052304,50052303,61531587,61531599,61531600,50088673,40067328,31384703,31384702,31384693,23888096,17541506,12372648,8360685,5396511,5396512,8360688,12372653,17541515,23888110,31384724,40067349,40067466,40067523,48724732,46722914,46722913,46722918,50521124,40485551,40485552,40485598,31790512,24276832,24276833,31790518,40485608,50521166,62013024,52687214,52687215,64587713,64587716,77770572,87912820,74309018,61531596,50052309,40032198,31351946,31351947,40032199,40067462,31384805,23888182,23888183,31384683,23888091,17541536,12372664,8360693,5396516,3318390,3318391,5396522,8360705,12372691,17541572,23888200,31384826,40067482,40032059,39976686,31790468,24276798,17896429,12676721,12676722,17896435,24276805,17896476,17896466,17896467,24276837,31790529,40485620,50088796,61568881,61531432,61531140,50051815,50051816,61531144,61531148,50521274,50088619,40067278,40032194,40032191,50052299,50052387,40067459,31384802,31384765,31384764,31384738,23888127,17541523,12372656,12372658,12372672,8360697,8360699,12372679,17541553,17515239,17515238,23858372,31351857,39976687,31301998,23815425,17896449,12676732,8608982,5594536,3471102,3471103,5594540,8608991,12676753,17896472,24276846,31790536,40067440,50088803,40321835,31633031,31633030,40031733,50051823,50615676,40573399,40573397,46328859,46328858,40032274,31351997,31351998,40032277,50052156,40032379,40032378,40067359,31384732,23888116,17541517,17541519,17541544,17541545,23888146,23888160,23888161,23858364,23858365,24071224,31576934,39976701,31302005,23815428,23815429,17896438,12676727,12676729,12676745,8608987,8608986,12676739,17896456,24276824,31790499,40485581,40485677,50521239,50348239,50348235,50348237,40485631,40485630,40573404,31870310,31870309,40573401,40573416,50052378,40032267,40032269,50052383,40032392,31352075,31352073,40032387,50052498,50088719,40067382,31384755,31384756,40067389,31576928,24071221,17714991,12531684,12531686,17715000,24071233,31576941,39976691,31302000,31302002,39976696,49992816,40485574,31790491,24276821,24276819,31790485,40485569,40485586,31790597,24276886,24276884,31790593,40485707,50521267,50615681,40573412,40573410,31870331,24346768,24346769,31870336,40573430,50615697,62115142,62115894,61531705,50052499,50052492,269921868,50615693,40573424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240075, s2 = 10838122, dlinesl.size( ) = 2 s1 = 11240075, s2 = 10838122, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11240075, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 11240275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240275, s2 = 11323668, int(edited[s2]) = 0 s1 = 11240275, s2 = 11323668, d1 = 1, d2 = 16 Dl.O(d1) = 98318598 Dl.O(d2) = 126162605,126162604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240275, s2 = 11323668, dlinesl.size( ) = 12 s1 = 11240289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240289, s2 = 14197888, int(edited[s2]) = 0 s1 = 11240289, s2 = 14197888, d1 = 0, d2 = 0 Dl.O(d1) = 256603482,46770777,36904536,28407194,21185972,256304137,46782317,57870240,46514058,36646492,256464464,10399178,6855150,6855152,10399188,10494234,15102476,10494202,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,11750806,11750805,16804652,23050324,255999665,23630389,31116808,39047236,30458031,23050446,23050445,256351691,21737005,15687790,10860201,7180035,4523052,2718642,1575276,1575275,254340315,7180033,10860199,15687788,20082146,14398661,9903940,6509543,6509542,9903939,14398659,12190194,12190195,17314696,21737208,21737207,20082640,14398967,9904118,6509631,6509630,9904113,14398953,17314910,12190309,12190310,17314901,23630835,21171812,21171811,23050430,25118823,25118820,31116903,26967328,26967327,26967373,26967374,31793617,28392074,21172740,15213794,10494405,9993082,9993078,14523198,20239629,26967570,20082483,20082480,17057642,17057641,23322790,20082061,14398607,14398611,14398743,14398741,20082279,26967279,29046116,29046118,29046202,21753058,15699575,15699577,21753066,29046218,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,40951438,32171998,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,38112281,258121145,74230680,61970002,257099537,40439480,257682817,40439484,31745100,24234773,17860558,12648039,12648040,255591385,256551253,23597841,23597842,23597847,31081250,31740735,24231145,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741900,40435033 Dl.O(d2) = 256603482,46770777,36904536,28407194,21185972,256304137,46782317,57870240,46514058,36646492,256464464,10399178,6855150,6855152,10399188,10494234,15102476,10494202,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290476,8220565,10993147,15860680,15213117,10494000,6919822,4347199,4347198,6919814,5696299,3544277,2110432,1215964,1215961,2110422,2572277,2572278,4302233,6855242,7180056,10860239,15687872,21170787,15212358,15212360,21170794,23050225,16804613,11750783,11750785,16804629,21479318,15687864,11750806,11750805,16804652,23050324,255999665,23630389,31116808,39047236,30458031,23050446,23050445,256351691,21737005,15687790,10860201,7180035,4523052,2718642,1575276,1575275,254340315,7180033,10860199,15687788,20082146,14398661,9903940,6509543,6509542,9903939,14398659,12190194,12190195,17314696,21737208,21737207,20082640,14398967,9904118,6509631,6509630,9904113,14398953,17314910,12190309,12190310,17314901,23630835,21171812,21171811,23050430,25118823,25118820,31116903,26967328,26967327,26967373,26967374,31793617,28392074,21172740,15213794,10494405,9993082,9993078,14523198,20239629,26967570,20082483,20082480,17057642,17057641,23322790,20082061,14398607,14398611,14398743,14398741,20082279,26967279,29046116,29046118,29046202,21753058,15699575,15699577,21753066,29046218,35048822,26967861,20082689,14398993,14398995,20082699,26967880,32172226,40951728,40951438,32171998,32172001,26967454,20082396,14398815,9904030,9904033,14398828,20082428,26967498,35048421,44422938,44422939,35048768,26967820,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,39758897,31081211,23597820,23597822,31081220,35048483,35048482,32172118,24586168,18141875,12864761,12864757,18141861,24586140,32172070,26967480,26967479,35048327,44422931,47493505,58851327,47466998,37560143,37560139,37561832,47468804,37574307,37574305,37840573,37838872,29272648,29272651,37838879,47761368,39759234,31081491,23597993,17285733,12165003,8196399,5266439,5266437,8196393,12164991,17285703,23597931,31081391,38112281,258121145,74230680,61970002,257099537,40439480,257682817,40439484,31745100,24234773,17860558,12648039,12648040,255591385,256551253,23597841,23597842,23597847,31081250,31740735,24231145,22205798,22205797,29549444,22205811,22205812,24228445,24228446,31737209,24779709,24779708,24232159,17858689,12646942,8586918,8586921,12646956,17858723,24232219,31741932,40435030,41227780,32403615,29273754,21950462,21950465,24779726,18299101,18299099,24232251,24232310,24232307,28846346,22643804,16453697,16453700,22643816,29041549,31750290,31750295,31746902,24236039,17861368,17861371,22205865,16075772,11163093,7404488,4677718,4677717,7404486,11163085,16075760,22205837,29549515,31740979,24231337,17858105,17858109,24231350,31691449,24232236,24232235,31741940,31741899,31741900,40435033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240289, s2 = 14197888, dlinesl.size( ) = 2 s1 = 11240289, s2 = 14197888, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11240289, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 14197887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11240391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240391, s2 = 11079974, int(edited[s2]) = 0 s1 = 11240391, s2 = 11079974, d1 = 6, d2 = 10 Dl.O(d1) = 84425195 Dl.O(d2) = 256843360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240391, s2 = 11079974, dlinesl.size( ) = 14 s1 = 11240477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240477, s2 = 11175384, int(edited[s2]) = 0 s1 = 11240477, s2 = 11175384, d1 = 24, d2 = 16 Dl.O(d1) = 263484661,263180480 Dl.O(d2) = 258673304,31695990,34123983,43211404,256859844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240477, s2 = 11175384, dlinesl.size( ) = 20 s1 = 14636416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14197896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240861, s2 = 13388611, int(edited[s2]) = 0 s1 = 11240861, s2 = 13388611, d1 = 13, d2 = 8 Dl.O(d1) = 268665202,10572332,10572335,255392877,255024018,8382207,5409304,5409302,8381860,5409112,3325317,3325315,1955796,1955798,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383064,10983130,12380486,8602037,8376675,8376674,7679677,7679675,8372600,5403545,3322185,3322186,5403552,5473158,8272877,5338081,5338080,8272868,12249311,13515652,13515653,17536345,12368410,8357504,8357506,12265571,10903613,7211252,4543524,4543522,7211261,10903628,15743629,21804398,25576914,21035185,21035186,17570188,12398320,12398319,17570186,23912967,28438387,28438388,31399096,23906463,17562675,12391621,8374040,5404404,5404405,5343536,3284156,1931452,1103364,619122,619123,1103369,1931422,1930843,1930847,1103168,1103167,1930996,3281606,3281609,5338663,254843321 Dl.O(d2) = 258844292,31196851,25712002,19138978,19138977,255682275,19084491,16266018,16266017,13623121,9328448,6110518,3823361,3823362,6110520,9328449,13623122,13543172,9271436,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760134,1331171,2294327,3829552,6120830,9344807,13646829,268303685,25071031,32767890,33424531,33409455,25642645,25642644,268752355,257214381,33390642,33390643,31699659,24191478,24191477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240861, s2 = 13388611, dlinesl.size( ) = 14 s1 = 11241113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241113, s2 = 14248201, int(edited[s2]) = 0 s1 = 11241113, s2 = 14248201, d1 = 0, d2 = 0 Dl.O(d1) = 84561663,77260956,258666857,58283121,58283122,52265353,52265352,61935366,61935367,74728856,74728850,74728851,258619648,52265348,52265349,64114226,64114240,52265358,52265359,64114242,77260975,77399108,257662052,100373472,91317563,91317564,258271440 Dl.O(d2) = 84561663,77260956,258666857,58283121,58283122,52265353,52265352,61935366,61935367,74728856,74728850,74728851,258619648,52265348,52265349,64114226,64114240,52265358,52265359,64114242,77260975,77399108,257662052,100373472,91317563,91317564,258271440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241113, s2 = 14248201, dlinesl.size( ) = 2 s1 = 11241113, s2 = 14248201, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11241113, Dl.E( ) = 2, 7.15e-06 seconds used appending s1 = 14248202, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11241173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241173, s2 = 14362851, int(edited[s2]) = 0 s1 = 11241173, s2 = 14362851, d1 = 13, d2 = 14 Dl.O(d1) = 259914203 Dl.O(d2) = 272202724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241173, s2 = 14362851, dlinesl.size( ) = 28 s1 = 11241733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241733, s2 = 12268106, int(edited[s2]) = 0 s1 = 11241733, s2 = 12268106, d1 = 27, d2 = 25 Dl.O(d1) = 98595246,98706004,85014247,71441529,71441528,73003173,86600665,95243373,95243372,99387818,86312610,72715790,62687849,257225594,270409732,258925632 Dl.O(d2) = 255351295,256181607,19544890,19544888,268521733,27848037,20724062,20724061,27299133,20360576,14614503,255345263,27299135,256768775,35945232,27642240,27642239,26264923,26264925,257260807,34131264,26264799,19544699,255711807,13995251,254674511,6315295,9614627,255302047,19544716,19544717,15199629,15199630,21155125,28372232,24323498,17935952,17935951,19544958 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241733, s2 = 12268106, dlinesl.size( ) = 8 s1 = 11241763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241763, s2 = 11001868, int(edited[s2]) = 0 s1 = 11241763, s2 = 11001868, d1 = 2, d2 = 1 Dl.O(d1) = 257261336,256701592 Dl.O(d2) = 25637288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241763, s2 = 11001868, dlinesl.size( ) = 2 s1 = 11241763, s2 = 11001868, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11241763, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 11241917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241917, s2 = 14164954, int(edited[s2]) = 0 s1 = 11241917, s2 = 14164954, d1 = 6, d2 = 1 Dl.O(d1) = 84723139,71153591,58432298 Dl.O(d2) = 84723142,71153593,58432301,47057449,37166042,28649094,21406792,21406793,21406794,15418889,15418888,21406793,21406794,255832711,15418886,10658652,10658653,255401907,21406791,28649092,25382431,18797425,18797424,16021655,16021656,22138564,29475321,38038175,255930976,33117914,25382727,18797661,13390563,9154259,9154257,13390557,18797653,20041763,20041764,26927164,35008777,255660186,36420373,27962196,20800192,14906700,10249421,254995357,20800191,23696053,31185688,256477525,30720169,30720255,39318602,49245549,52466152,48852723,48852725,39318287,30719994,23302668,23302667,30719989,23302911,23302912,30720261,39318607,269038606,33653193,25848797,25848796,257022255,30720067,23302733,17042437,17042438,17042313,11955750,11955749,17042333,23302601,30719914,39318217,30720144,23302786,17692773,17692774,256032071,26071508,19387535,19387534,26071506,30720251,30720299,23302946,17042580,11955909,8003685,5095426,3092907,1807203,1807204,3092909,5095431,8003693,11955925,17042597,23302974,30720325,26071476,23302720,23302721,30719925,30719928,30720052,23302711,17042424,11955807,8003624,5095394,3092891,1807197,1807195,3092883,5095385,8003607,255142909,22333044,22333043,29685015,30221829,30221831,38592315,38592316,46333766,36478087,36478086,33270239,33270241,42249636,36478063,36478062,46333760,57680695,49351746,49245219,39318294,39318292,33826031,26008388,26008387,23298147,17038251,11952213,11952212,17038250,23298145,30715125,30715352,23298304,23298305,26008369,19334594,13826247,13826248,19334598,14957812,14957811,20859289,28026564,33826072,26008420,19334621,19334622,23298214,17038288,268228734,30715217,39313278,48096123,48096122,49240089,58087529,70556648,257579266,42867061,36632372,28157957,20978615,20978616,19334519,13826207,9482416,6217787,6217786,9482412,13826204,19334509,26008242,33825839,257241893,269307079,31910798,24379347,24379346,31910797,31911198,24379745,17981128,17981129,18124541,18124542,24379305,17980712,17980713,24379307,17980716,17980718,254983894,12743109,12743110,12743489,17981234,255965103,17980681,254881693,267917875,3500933,2080889,1196442,673744,673743,1196438,254285957,5633368,254881703,7900846,7900847,8660013,5633403,3500908,3500909,5633407,8660019,12743254,17980976,12743494,8660184,8660183,12743474,12743473,17980906,17980905,24379527,31910965,26656514,26656513,30573281,39171276,49101605,39171257,39171256,44636307,35251877,29780091,29780092,38352689,40625053,31910952,31910951,255486200,31911035,24379585,24379584,31911031,40624970,39055643,30465592,255927344,48977825,60374463,50682410,40625115,31910999,31910998,40625114,39939785,31264789,31264788,39939783,42276740,33295572,25534027,18922924,254924937,9229563,13490152,13490153,18922765,18922764,25533757,18922787,18922788,25533789,25533897,18922846,13490151,13490150,18922842,25533893,30626608,23204083,23204084,30626609,38830307,30246909,22852545,22852546,30246911,38830309,48750314,49274355,49802773,39783620,36420002,27961839,20799862,14906386,10249167,10249168,14906387,20799864,27961841,257382645,70307786,259243721,271045890,70307793,270270469,97690768,111609328,125408365,111609325,97690765,259041272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241917, s2 = 14164954, dlinesl.size( ) = 12 s1 = 14890657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4595063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11242037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242037, s2 = 11474536, int(edited[s2]) = 0 s1 = 11242037, s2 = 11474536, d1 = 16, d2 = 20 Dl.O(d1) = 259925523 Dl.O(d2) = 263100265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242037, s2 = 11474536, dlinesl.size( ) = 20 s1 = 14944986, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11242211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11242223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242223, s2 = 10565641, int(edited[s2]) = 0 s1 = 11242223, s2 = 10565641, d1 = 15, d2 = 24 Dl.O(d1) = 86379651,86379652,72783644,60044870 Dl.O(d2) = 12663044,17879350,24256948,31769126,40463858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242223, s2 = 10565641, dlinesl.size( ) = 16 s1 = 11242343, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14071829, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14197976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14197976, s2 = 13667732, int(edited[s2]) = 0 s1 = 14197976, s2 = 13667732, d1 = 71, d2 = 73 Dl.O(d1) = 270294764,71269626,259311571,112760271 Dl.O(d2) = 98496059,112487812,126355454,256625992,152456886,164329942,162569787,150441573,137402230,123671165,109479376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14197976, s2 = 13667732, dlinesl.size( ) = 2 s1 = 14197976, s2 = 13667732, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14197976, Dl.E( ) = 76, 2.19e-05 seconds used appending s1 = 11242377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242377, s2 = 11354340, int(edited[s2]) = 0 s1 = 11242377, s2 = 11354340, d1 = 8, d2 = 2 Dl.O(d1) = 259931093 Dl.O(d2) = 139971719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242377, s2 = 11354340, dlinesl.size( ) = 8 s1 = 11242529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16361813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11242561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242561, s2 = 11519350, int(edited[s2]) = 0 s1 = 11242561, s2 = 11519350, d1 = 11, d2 = 13 Dl.O(d1) = 258029428,37272260,37272261,47178177,256540244,50156498,40134142,31453443,23959904,17611752,12695600,12695599,17918745,24302079,23959665,23959664,29474173,22137584,16020947,11123696,7378132,7378133,11123699,16020951,17628903,17628904,23976390,31472429,40156618,46826447,46826446,47254164,37344748,37344747,29422396,24004369,17659196,17659195,17659198,17659200,23958892,29081153,30207391,30207390,29159649,21851233,21851234,17614077,17614078,14350138,14350139,20033594,26918306,34999807,44378155,40383580,31690122,24181616,24181617,29159651,37719512,47641520,47537060,47537061,40938733,40938732,38037096,29474192,29474191,268913666,64253638,52642405,42256882,42256881,52642402,46435453,46435452,53087522,53901855,256708665 Dl.O(d2) = 9698289,9698290,14100285,9699345,9699346,9699405,9699406,9698807,9698808,14101090,18153031,19671753,14101723,9699206,9699203,14101484,14101438,9699008,9699007,9699149,14101626,9699312,9699310,14101874,14101896,9699323,9699320,14100334,9698313,6378635,4002012,2398251,2398252,4002015,6378643,6378836,9698648,12076850,12076849,14100414,14100520,14101169,14100700,9699254,6379178,4002291,2398401,1387860,789287,447070,251575,251576,447072,789293,1387875,2398437,4002154,4002208,6379032,9698849,14101174,9699040,6379060,4002224,4002223,6379055,9699031,9699472,9698452,6378726,6378725,9698481,9698674,14100883,19670461,14100729,9698562,6378780,6378779,9698561,9698530,9698531,14100682,255718549,29260103,37825384,43378729,34280040,31763165,31763166,40457628,43379911,40384504,31690847,31227826,23744106,21678417,15639224,15639223,21678406,17419317,12277393,12277394,17419326,17419177,17419175,17419264,17418970,17418969,14102148,9699495,6379306,4002359,4002361,6379314,9699516,10656828,10656834,15416596,10656839,10656841,15416617,21403845,28645404,255681888,31594565,24091137,17733592,17733593,24091140,31594570,40278897,255532814,39259792,48758726,48758725,41124911,40279025,255276828,37720462,29160651,21852262,15781302,15781303,21852264,29160654,37720466,31594587,31594588,40278916,39224948,39224949,32133053,32133052,272321541,213043005,265064503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242561, s2 = 11519350, dlinesl.size( ) = 8 s1 = 11242631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242631, s2 = 11146366, int(edited[s2]) = 0 s1 = 11242631, s2 = 11146366, d1 = 18, d2 = 5 Dl.O(d1) = 258063394,268615896,28751192,255038672,28042151,20874238,14972280,11823342,7901388,5022746,3040264,3040267 Dl.O(d2) = 254864665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242631, s2 = 11146366, dlinesl.size( ) = 16 s1 = 15542969, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11242797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242797, s2 = 11116488, int(edited[s2]) = 0 s1 = 11242797, s2 = 11116488, d1 = 12, d2 = 10 Dl.O(d1) = 269317958,28787151,255409845 Dl.O(d2) = 255841977,30092808,38669925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242797, s2 = 11116488, dlinesl.size( ) = 14 s1 = 11243049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11243097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243097, s2 = 11064600, int(edited[s2]) = 0 s1 = 11243097, s2 = 11064600, d1 = 11, d2 = 13 Dl.O(d1) = 257059618 Dl.O(d2) = 257634644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243097, s2 = 11064600, dlinesl.size( ) = 20 s1 = 11243289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243289, s2 = 11128724, int(edited[s2]) = 0 s1 = 11243289, s2 = 11128724, d1 = 11, d2 = 1 Dl.O(d1) = 98939237,112928447,105674624,91451253 Dl.O(d2) = 52486183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243289, s2 = 11128724, dlinesl.size( ) = 2 s1 = 11243289, s2 = 11128724, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11243289, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 11243347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243347, s2 = 10566265, int(edited[s2]) = 0 s1 = 11243347, s2 = 10566265, d1 = 7, d2 = 5 Dl.O(d1) = 85023528,71451388 Dl.O(d2) = 85023532,98948525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243347, s2 = 10566265, dlinesl.size( ) = 8 s1 = 11243407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243407, s2 = 12789011, int(edited[s2]) = 0 s1 = 11243407, s2 = 12789011, d1 = 0, d2 = 0 Dl.O(d1) = 258072869,47342995,256340485,21618865,15588696,11445066,11445069,12980810,8836340,5758095,3585823,2137166,1233526,1233527,2137169,3585825,5758097,8836344,9851945,6471361,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,4890620,254548315,2949298,1710420,972137,547460,547461,972141,1710427,2949309,4893967,7730866,11611094,255119037,267980991,4864422 Dl.O(d2) = 258072869,47342995,256340485,21618865,15588696,11445066,11445069,12980810,8836340,5758095,3585823,2137166,1233526,1233527,2137169,3585825,5758097,8836344,9851945,6471361,4055433,3729898,2932029,2932032,2949759,2947165,2947166,4890619,4890620,254548315,2949298,1710420,972137,547460,547461,972141,1710427,2949309,4893967,7730866,11611094,255119037,267980991,4864422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243407, s2 = 12789011, dlinesl.size( ) = 2 s1 = 11243407, s2 = 12789011, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11243407, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11243449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243449, s2 = 11228902, int(edited[s2]) = 0 s1 = 11243449, s2 = 11228902, d1 = 21, d2 = 27 Dl.O(d1) = 85036354,71464466,71464467,258073100,256882194,21025507,15101409,10415480,10415478,10415479,10283637,10283636,14949438,14972687,10304941,6776810,6776811,10304943,14233809,9784792,6866016,6866015,10415669,15019022,17481398,12325377,8325791,5373243,5373244,254848767,10317832,6787676,6787674,6749324,4229100,4229102,6749332,9071832,5932336,3709395,3709396,254910591 Dl.O(d2) = 52253627,41915608,270407684,26340878,33454356,33454355,39536985,30925593,267917322,17203624,17203589,12098160,8136564,8136562,12098153,13321881,9101858,9101861,13321893,18715217,256114617,41339887,258982367,104252503,260822468,255175111,8338678,6751778,6751779,10273870,10331994,6800114,6774406,4246270,2538771,2538770,4246252,6751726,10273812,6791964,4258383,2545800,2545802,4258392,2561807,2561808,4243902,6754796,4232734,2530718,2530717,3718900,5946805,4263777,4263775,3720100,3720103,5948668,5948666,4296106,4296107,3646583,3646584,5377342,5923241,4298921,4298923,6840528,5940113,5940109,5952654,6163055,3856267,2310360,2310356,3856250,5373562,3304227,1943903,1943901,2925607,2925602,2925634,2228648,1292498,1292495,2228643,2298254,1333519,1333520,2298258,3836248,5944323,5944325,9087240,13305648,10296352,6769242,4242556,4242558,6769247,4295392,4242701,4242702,6769404,4488392,4488393,5947797,3719578,2227325,1291836,1291837,2227327,254643541,255651289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243449, s2 = 11228902, dlinesl.size( ) = 28 s1 = 11243485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13584757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11243775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243775, s2 = 11537584, int(edited[s2]) = 0 s1 = 11243775, s2 = 11537584, d1 = 7, d2 = 6 Dl.O(d1) = 85095257,257309360,58794254,71523462,58794253,58794252,260547375,272460996 Dl.O(d2) = 274341753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243775, s2 = 11537584, dlinesl.size( ) = 14 s1 = 11884734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11243823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244279, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11244365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244365, s2 = 12274994, int(edited[s2]) = 0 s1 = 11244365, s2 = 12274994, d1 = 10, d2 = 13 Dl.O(d1) = 255365500,58932399,256278260 Dl.O(d2) = 255149826,8100635,254492842,1853711,1853710,3166504,4973336,4973337,7834922,11735216,16783827,23025457,29205528,21892305,21892304,17144787,17144786,17261748,12141313,255139379,11881584,16969490,255971329,39255291,30852408,23421735,17144802,17144801,23421733,22278216,22278217,23421766,30852391,30851674,23421891,17144926,17144927,23421895,29000390,37535823,47443838,37545932,29000386,29000385,256891197,39020729,39020730,48943678,39020746,30431359,255511807,11735215,7834920,7834919,11735210,16783819,23025449,30431342,39020707,37535808,255855309,15664840,15664839,21706633,28990813,37535807,39455795,49383605,39455797,39455796,39456599,39456598,49384641,39456640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244365, s2 = 12274994, dlinesl.size( ) = 14 s1 = 15655568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15655568, s2 = 14117086, int(edited[s2]) = 0 s1 = 15655568, s2 = 14117086, d1 = 41, d2 = 35 Dl.O(d1) = 177053721,186410057 Dl.O(d2) = 21801623,29099403,37648331,47553464,58935214,71656625,85222026,99144472,113134712,126992874,140347021,153044826,164882648,175639118,185174839,263875889,273984307,211604523,207039710,201092475,194035449,185800296,176358487,165692615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15655568, s2 = 14117086, dlinesl.size( ) = 2 s1 = 15655568, s2 = 14117086, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15655568, Dl.E( ) = 42, 1.31e-05 seconds used appending s1 = 11244399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244399, s2 = 11066346, int(edited[s2]) = 0 s1 = 11244399, s2 = 11066346, d1 = 12, d2 = 1 Dl.O(d1) = 257259880,47554440,58936158,71657580,258898920 Dl.O(d2) = 39418290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244399, s2 = 11066346, dlinesl.size( ) = 20 s1 = 11244633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244633, s2 = 11340440, int(edited[s2]) = 0 s1 = 11244633, s2 = 11340440, d1 = 23, d2 = 28 Dl.O(d1) = 268932618 Dl.O(d2) = 261860118,152170554,260149878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244633, s2 = 11340440, dlinesl.size( ) = 32 s1 = 11244645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244645, s2 = 11020974, int(edited[s2]) = 0 s1 = 11244645, s2 = 11020974, d1 = 12, d2 = 11 Dl.O(d1) = 258091859,256901847 Dl.O(d2) = 254751811,7225987,4553547,2737490,1586170,901688,508594,508595,901693,1586179,2737506,4553523,4553834,2737703,1586295,901757,901756,1586292,2737693,2740880,2735045,1588421,902952,509260,509259,307612,170212,93712,93711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244645, s2 = 11020974, dlinesl.size( ) = 8 s1 = 11244689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244689, s2 = 11158442, int(edited[s2]) = 0 s1 = 11244689, s2 = 11158442, d1 = 10, d2 = 13 Dl.O(d1) = 258061904 Dl.O(d2) = 260709759,259544466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244689, s2 = 11158442, dlinesl.size( ) = 14 s1 = 11244721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244721, s2 = 14844482, int(edited[s2]) = 0 s1 = 11244721, s2 = 14844482, d1 = 10, d2 = 13 Dl.O(d1) = 85392835 Dl.O(d2) = 143086759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244721, s2 = 14844482, dlinesl.size( ) = 22 s1 = 11244725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244725, s2 = 11157136, int(edited[s2]) = 0 s1 = 11244725, s2 = 11157136, d1 = 10, d2 = 6 Dl.O(d1) = 261129555 Dl.O(d2) = 257472695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244725, s2 = 11157136, dlinesl.size( ) = 8 s1 = 8071954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8071954, s2 = 11045952, int(edited[s2]) = 0 s1 = 8071954, s2 = 11045952, d1 = 80, d2 = 93 Dl.O(d1) = 254343859,7246344,10949476,7246347,4568918,4568917,7246346,10949477 Dl.O(d2) = 29199714,37761121,47683250,256363339,21887264,15810761,255433727,29199715,37761123,43203713,269135193,59083062,258719019,71824087,59083071,59083070,257484992,258719017,258719019,71824087,59083069,47683255,37761125,29199717,21887265,15810761,255433727,29199715,37761123,43203713,258379286,6311112,9608451,9608800,6311329,3955633,2368810,1371260,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512452,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311915,9609741,13988722,12515211,8478655,6731971,6731969,10245796,14901562,18127268,12853829,9197752,9197750,13449941,10043814,10043815,14596688,20318520,21106596,21106595,26696108,19875788,19875786,24550618,24568450,25803837,25803836,24049187,17695957,16827233,11767041,7856154,4986221,3011695,3011694,4986210,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225000,15090123,13199855,13199856,15493309,21500295,28759739,29708475,22353267,16202030,11262837,7476916,4725391,2847134,2847133,4725383,7476890,11262794,9779857,9779858,14226231,16826936,16826935,23079068,23786957,31272573,24592980,24592981,27250382,20317743,20317744,255166136,38274922,46817937,43406322,34305001,254968618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8071954, s2 = 11045952, dlinesl.size( ) = 64 s1 = 13514425, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14198094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244895, s2 = 11310750, int(edited[s2]) = 0 s1 = 11244895, s2 = 11310750, d1 = 1, d2 = 2 Dl.O(d1) = 261141639 Dl.O(d2) = 272883178,176151612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244895, s2 = 11310750, dlinesl.size( ) = 2 s1 = 11244895, s2 = 11310750, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11244895, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11244913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244967, s2 = 11054212, int(edited[s2]) = 0 s1 = 11244967, s2 = 11054212, d1 = 23, d2 = 18 Dl.O(d1) = 99373026,113373510,127231490,263480927,263180364 Dl.O(d2) = 258652233,58104747,268648076,21139237,28353273,255387968,10519489,6937338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244967, s2 = 11054212, dlinesl.size( ) = 26 s1 = 11244987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244987, s2 = 5081591, int(edited[s2]) = 0 s1 = 11244987, s2 = 5081591, d1 = 0, d2 = 11 Dl.O(d1) = 99377815 Dl.O(d2) = 211303713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244987, s2 = 5081591, dlinesl.size( ) = 14 s1 = 11245011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11885218, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11885218, s2 = 11245166, int(edited[s2]) = 0 s1 = 11885218, s2 = 11245166, d1 = 1, d2 = 1 Dl.O(d1) = 254281176,254280218,9190790,6016449,6016448,9190789,13441367,18864425,25464690,23146294,254275236,22189198,24218069,24179127,24179128,31607007,40290060,33212313,25464724,25464725,19695264,19695263,24198551,254604786,12624557,17829331,21194689,17812332,17812333,17388044,12253077,11146943,11146944,16053869,17810658,24179076,18862896,13439908,268144911,24187368,31695356,255262066,16796317,16796316,23041257,23709981,17386473,17386474,15107931,15107929,21034113,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,22827041,22827040,255199534,30039552,254873386,17724615,16470620,254606224,30040787,24209322,254617148,22827046,22827048,17746352,17746353,24104853,22665110,16470202,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496282,16164738,12556820,8513352,8513351,12523341,17704857,24059654,31565228,38338699,29767707,29767708,255196484,27043415,20150800,14455252,14455253,14456660,255086252,14456657,20152627,27044997,21665965,15630236,10816338,7148347,7148346,9719383,9719382,14127543,19703254,26442442,31675867,24166484,17798822,12599274,267811588,24166488,27091875,27981835,27044994,20152624,20152623,27044993,255168384,16170810,16170813,17707443,16171615,11239144,7459609,4713662,2839641,2839643,4713528,4713532,4713563,4713561,7459396,11238767,14127095,9719124,9719126,14127120,19702719,17065956,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,2470179,4129447,6591382,10029413,255165556,8609874,8609873,12677534,11239302,7459710,7459709,7459765,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,8002711,8002681,5094755,3092439,3092438,5094753,8002673,11814331,16885027,21062303,21065627,15131502,10436351,10436352,15131504,15737284,21064615,15130703,10435902,10435905,15130670,21062658,15132266,10436816,10436817,10986072,7272098,7272097,10436155,6879973,6591316,4129383,4129380,4318804,4318803,6880197,4318718,4318715,6880188,10436582,14169104,14169106,15075456,11657275,11657274,11275040,11275039,15131071,15129025,15129029,15130107,15130106,15130059,10435546,10435545,15130058,15130127,15130132,15130131,15735400,10898075,7207857,7207856,10898071,11275047,11275049,15129986,15129985,21062110,15128889,15128890,21062112,18673699,13281753,13281752,18673697,25243650,21064472,15130582,10435827,6880266,4318751,4318752,6880269,10436706,15130335,254591668,15132178,10436756,6880296,6880294,10436755,11530399,7670502,4853297,2924616,2924618,4853304,7670516,11530418,16543919,22755295,30141224,38720822,269069101,63907270,77018821,77018822,269811487,38282893,32853711,25146873,18590728,18590729,25146875,32853713,41774515,268484733,25146875,255798336,52088153,63907268,77018819,258013920,133101643,146328780,260486184,158696835,158696834,170053667,180216630,262139200,203518520,203518519,203518518,262624780,196894306,203518514,262624784,189154188,189154187,262139196,196894318,196894307,189154168,189154167,196894306,203518514,262624784,196894319,262139192,180216607,170053657,158696828,158696827,170053655,180216606,180216625,261617838,180216611,180216613,189154174,196894310,203518516,203518515,196894309,189154170,180216610,170053658,158696828,158696827,170053655,180216606,180216625,261617838,180216611,180216613,189154174,196894310,203518516,203518515,196894309,189154170,189154169,262624782,196894315,196894308,262624782,189154184,180216624 Dl.O(d2) = 254281176,254280218,9190790,6016449,6016448,9190789,13441367,18864425,25464690,23146294,254275236,22189198,24218069,24179127,24179128,31607007,40290060,33212313,25464724,25464725,19695264,19695263,24198551,254604786,12624557,17829331,21194689,17812332,17812333,17388044,12253077,11146943,11146944,16053869,17810658,24179076,18862896,13439908,268144911,24187368,31695356,255262066,16796317,16796316,23041257,23709981,17386473,17386474,15107931,15107929,21034113,17828741,16605866,16605864,17725886,14456156,14456157,18865512,16470233,11475647,7632755,7632754,11475638,9944829,9944830,12587800,14216366,16796323,23041272,22827041,22827040,255199534,30039552,254873386,17724615,16470620,254606224,30040787,24209322,254617148,22827046,22827048,17746352,17746353,24104853,22665110,16470202,11475620,7632747,7632749,11475630,9944009,9944007,14453715,20148861,14454107,9944258,6535819,6535817,9944248,14454089,13496286,13496282,16164738,12556820,8513352,8513351,12523341,17704857,24059654,31565228,38338699,29767707,29767708,255196484,27043415,20150800,14455252,14455253,14456660,255086252,14456657,20152627,27044997,21665965,15630236,10816338,7148347,7148346,9719383,9719382,14127543,19703254,26442442,31675867,24166484,17798822,12599274,267811588,24166488,27091875,27981835,27044994,20152624,20152623,27044993,255168384,16170810,16170813,17707443,16171615,11239144,7459609,4713662,2839641,2839643,4713528,4713532,4713563,4713561,7459396,11238767,14127095,9719124,9719126,14127120,19702719,17065956,17065953,16056458,11148649,11148630,10029508,6591431,4129442,2470178,2470179,4129447,6591382,10029413,255165556,8609874,8609873,12677534,11239302,7459710,7459709,7459765,4713745,2839675,1647238,1647239,2730562,2730559,4542366,7209281,4542316,4542318,7209290,10900708,8002714,8002711,8002681,5094755,3092439,3092438,5094753,8002673,11814331,16885027,21062303,21065627,15131502,10436351,10436352,15131504,15737284,21064615,15130703,10435902,10435905,15130670,21062658,15132266,10436816,10436817,10986072,7272098,7272097,10436155,6879973,6591316,4129383,4129380,4318804,4318803,6880197,4318718,4318715,6880188,10436582,14169104,14169106,15075456,11657275,11657274,11275040,11275039,15131071,15129025,15129029,15130107,15130106,15130059,10435546,10435545,15130058,15130127,15130132,15130131,15735400,10898075,7207857,7207856,10898071,11275047,11275049,15129986,15129985,21062110,15128889,15128890,21062112,18673699,13281753,13281752,18673697,25243650,21064472,15130582,10435827,6880266,4318751,4318752,6880269,10436706,15130335,254591668,15132178,10436756,6880296,6880294,10436755,11530399,7670502,4853297,2924616,2924618,4853304,7670516,11530418,16543919,22755295,30141224,38720822,269069101,63907270,77018821,77018822,269811487,38282893,32853711,25146873,18590728,18590729,25146875,32853713,41774515,268484733,25146875,255798336,52088153,63907268,77018819,258013920,133101643,146328780,260486184,158696835,158696834,170053667,180216630,262139200,203518520,203518519,203518518,262624780,196894306,203518514,262624784,189154188,189154187,262139196,196894318,196894307,189154168,189154167,196894306,203518514,262624784,196894319,262139192,180216607,170053657,158696828,158696827,170053655,180216606,180216625,261617838,180216611,180216613,189154174,196894310,203518516,203518515,196894309,189154170,180216610,170053658,158696828,158696827,170053655,180216606,180216625,261617838,180216611,180216613,189154174,196894310,203518516,203518515,196894309,189154170,189154169,262624782,196894315,196894308,262624782,189154184,180216624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11885218, s2 = 11245166, dlinesl.size( ) = 2 s1 = 11885218, s2 = 11245166, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11885218, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11245195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245481, s2 = 12662744, int(edited[s2]) = 0 s1 = 11245481, s2 = 12662744, d1 = 21, d2 = 25 Dl.O(d1) = 85533976,71946092,59207094,47807718,259355279 Dl.O(d2) = 260081644,256484150,32096341,24521199,22638794,22638793,30009837,38581812,48496565,41999482,33056029,28008611,28008613,32095831,25071492,25071491,32768330,30011950,22640434,16451117,13768866,9438559,9438558,255287643,18089614,18089617,23604510,19534327,19534328,23604505,17291505,12170352,12170351,17291503,23604500,29912641,29912642,32095932,29824274,29824273,22457045,16289128,11332465,7530262,4763355,4763357,4554557,4554560,7227348,10925873,11576295,7705403,7705402,258173639,86441057,95869801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245481, s2 = 12662744, dlinesl.size( ) = 20 s1 = 11245565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245711, s2 = 11263644, int(edited[s2]) = 0 s1 = 11245711, s2 = 11263644, d1 = 24, d2 = 63 Dl.O(d1) = 259977055 Dl.O(d2) = 261420111,119637067,259639239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245711, s2 = 11263644, dlinesl.size( ) = 42 s1 = 11245945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245945, s2 = 12036500, int(edited[s2]) = 0 s1 = 11245945, s2 = 12036500, d1 = 2, d2 = 6 Dl.O(d1) = 99572253 Dl.O(d2) = 261241156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245945, s2 = 12036500, dlinesl.size( ) = 8 s1 = 15897641, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11246255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12080944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11246413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11246545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11246545, s2 = 15139349, int(edited[s2]) = 0 s1 = 11246545, s2 = 15139349, d1 = 23, d2 = 19 Dl.O(d1) = 257799406,48036683,46506826,36639541,36639542,46506827,51806405,256112312,24969837,25545120,24710475,24710476,257142739,63003466,75986478,260209739 Dl.O(d2) = 264600817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11246545, s2 = 15139349, dlinesl.size( ) = 26 s1 = 14946644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11246647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11246647, s2 = 11658972, int(edited[s2]) = 0 s1 = 11246647, s2 = 11658972, d1 = 10, d2 = 0 Dl.O(d1) = 85780388,72186087,72186086,59447884,48056184,256391929,255457683,11178776,11178775,13577201,13577200,19022077,25638772,33405433,42394626,52794257,258063729 Dl.O(d2) = 28757791,21498448,21498449,22650326,20058030,20058031,16458885,16458884,22460253,29085853,21788358,15730025,13699754,13699753,14377760,20061940,16291459,16291457,22459406,16594427,16594428,17360222,14386109,9891643,6499882,4072874,254470087,9891647,11589766,7714714,4882794,4882793,4882792,4874088,2937035,2937034,4874080,7701243,6495697,4070281,2435597,2435596,4070276,6495685,9886188,11569187,10891259,7202585,7202584,9862755,10884608,254972525,7194130,7194129,7198036,6478434,6478431,9862377,7196135,4536135,2726643,2726645,2724568,2724569,4532574,7194731,10881899,12302778,11732590,7833250,4972356,3003303,1744130,991045,991044,1744128,3003298,4972348,7201035,7201036,10881719,10881718,11272074,7482630,7193830,7193829,9888008,9888005,14382501,15926512,11049681,9890694,9890695,14385069,17432536,12287052,8297898,5353077,3289988,1934728,1934730,3289992,5353086,8297914,9901203,9890499,9890500,9887804,9887803,9899251,9899250,14392968,255742201,28066127,36532640,46393216,57743721,70438699,83965738,97825928,111749528,125556750,138889902,151591765,163473305,174318669,183978627,178304379,167873106,156289036,143764035,130437248,130437247,272279167,100365878,259448524,38759505,30176492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11246647, s2 = 11658972, dlinesl.size( ) = 14 s1 = 14587863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11247001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247001, s2 = 11170956, int(edited[s2]) = 0 s1 = 11247001, s2 = 11170956, d1 = 8, d2 = 14 Dl.O(d1) = 261719567 Dl.O(d2) = 273441751,256627359,32106000,24529695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247001, s2 = 11170956, dlinesl.size( ) = 20 s1 = 11247117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11247199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247199, s2 = 11148768, int(edited[s2]) = 0 s1 = 11247199, s2 = 11148768, d1 = 0, d2 = 12 Dl.O(d1) = 99818481 Dl.O(d2) = 260609164,258765772,70814331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247199, s2 = 11148768, dlinesl.size( ) = 20 s1 = 11247267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247267, s2 = 11215358, int(edited[s2]) = 0 s1 = 11247267, s2 = 11215358, d1 = 2, d2 = 54 Dl.O(d1) = 99838706 Dl.O(d2) = 260026641,86273062,72673324,59933843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247267, s2 = 11215358, dlinesl.size( ) = 56 s1 = 13554502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13651033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13651033, s2 = 14277527, int(edited[s2]) = 0 s1 = 13651033, s2 = 14277527, d1 = 5, d2 = 6 Dl.O(d1) = 85896605,85896558,72303833,258757393,72503579,258772321,85896600,72303883,257524675,38274273,29707606,22352489,16201460,11262447,7476665,4725215,4725214,7476662,11262440,16201448,22352467,29707583,256402585,22352488,22352487,29707603,29923719,38483954,48183603,38274232,38274233,48183605,48386639,48386656,48386655,59569768 Dl.O(d2) = 257524673,72303877,59569766,258134133,59769485,258772327,100067904,114098802,260030228,90088871,100067898,100067894,259780376,258523262,65970073,79333603,259741937,122310136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13651033, s2 = 14277527, dlinesl.size( ) = 2 s1 = 13651033, s2 = 14277527, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13651033, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13554540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6754834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6754834, s2 = 14039482, int(edited[s2]) = 0 s1 = 6754834, s2 = 14039482, d1 = 13, d2 = 15 Dl.O(d1) = 258109699,271804602 Dl.O(d2) = 4631496,2790142,254348703,2790142,1618712,254123189,161081,88573,48696,48697,88575,161089,291138,519194,920749,1618765,254348727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6754834, s2 = 14039482, dlinesl.size( ) = 2 s1 = 6754834, s2 = 14039482, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 6754834, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 11247409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247409, s2 = 11324846, int(edited[s2]) = 0 s1 = 11247409, s2 = 11324846, d1 = 5, d2 = 0 Dl.O(d1) = 85910610 Dl.O(d2) = 48196221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247409, s2 = 11324846, dlinesl.size( ) = 16 s1 = 13689145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2282002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2282002, s2 = 14864258, int(edited[s2]) = 0 s1 = 2282002, s2 = 14864258, d1 = 1, d2 = 15 Dl.O(d1) = 61349338,270380919 Dl.O(d2) = 46643225,46643226,58016665,257181862,42896008,42896007,53362077,59317573,50619248,40576285,31872729,268694049,256832416,65365960,72052306,257411646,52266242,46870086 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2282002, s2 = 14864258, dlinesl.size( ) = 12 s1 = 11247495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247495, s2 = 10990172, int(edited[s2]) = 0 s1 = 11247495, s2 = 10990172, d1 = 6, d2 = 4 Dl.O(d1) = 257122850,255608254,16218691,11274603,11274600,13208092,13208088,9003940,5877864 Dl.O(d2) = 5877618,3669610,3669613,5877634,254172614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247495, s2 = 10990172, dlinesl.size( ) = 8 s1 = 10990171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990171, s2 = 11247496, int(edited[s2]) = 0 s1 = 10990171, s2 = 11247496, d1 = 5, d2 = 1 Dl.O(d1) = 254172615,559742,559739,994255,1748564 Dl.O(d2) = 3010413,4983518,3010344,3010348,4983571,7851310,11759338,255608255,257122851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990171, s2 = 11247496, dlinesl.size( ) = 8 s1 = 11247555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11247573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11247643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247643, s2 = 11156138, int(edited[s2]) = 0 s1 = 11247643, s2 = 11156138, d1 = 0, d2 = 22 Dl.O(d1) = 99920351 Dl.O(d2) = 258261608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247643, s2 = 11156138, dlinesl.size( ) = 30 s1 = 11247783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247783, s2 = 11137304, int(edited[s2]) = 0 s1 = 11247783, s2 = 11137304, d1 = 19, d2 = 15 Dl.O(d1) = 261159451,113617452 Dl.O(d2) = 257919478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247783, s2 = 11137304, dlinesl.size( ) = 12 s1 = 11248349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11248401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248401, s2 = 11153846, int(edited[s2]) = 0 s1 = 11248401, s2 = 11153846, d1 = 8, d2 = 0 Dl.O(d1) = 86134746 Dl.O(d2) = 48415020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248401, s2 = 11153846, dlinesl.size( ) = 14 s1 = 15202986, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11248511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248511, s2 = 14044682, int(edited[s2]) = 0 s1 = 11248511, s2 = 14044682, d1 = 13, d2 = 0 Dl.O(d1) = 86154761 Dl.O(d2) = 22597013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248511, s2 = 14044682, dlinesl.size( ) = 32 s1 = 14607172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11249007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249007, s2 = 11050876, int(edited[s2]) = 0 s1 = 11249007, s2 = 11050876, d1 = 13, d2 = 14 Dl.O(d1) = 257550336,38625882,30052020,22676047,16479077,11481659,7636469,4831112,4831111,7636467,11481655,16025778,16025779,22144128,29482009,22568233,255099395,7579040,267781438,12994654,12500852,8467985,6011557 Dl.O(d2) = 22404067,16241853,11291806,7497052,7497053,7280264,4591401,254517555,10997813,12146785,17267334,23550702,17242616,254918562,8156396,12125213,15821450,15821449,20018563,20018564,26900910,21960263,21842666,15772904,267976246,4554314,4554315,7226930,6373028,3999088,3999087,6373024,9688706,14085702,12239732,8265346,5332802,5332803,8265352,12239749,17371761,14197225,9759553,9759552,11433846,11433845,16417859,17309641,12185767,8216308,5286442,3238501,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,5684142,5684141,8730996,12839254,9693990,6375855,4000425,4000427,6375859,9693996,14094349,19662835,26396905,31608692,24106379,23390258,17118381,15980122,11093584,7357273,7357274,5181727,3161564,1850820,1850818,3161507,3161506,5181627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249007, s2 = 11050876, dlinesl.size( ) = 12 s1 = 11249165, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11249229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10931364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11249405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249405, s2 = 11372230, int(edited[s2]) = 0 s1 = 11249405, s2 = 11372230, d1 = 10, d2 = 0 Dl.O(d1) = 256849806,259289118 Dl.O(d2) = 123554992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249405, s2 = 11372230, dlinesl.size( ) = 18 s1 = 13557106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13557106, s2 = 13326054, int(edited[s2]) = 0 s1 = 13557106, s2 = 13326054, d1 = 0, d2 = 6 Dl.O(d1) = 6810506,6862061,6862062,10409981,15093629,268375307,36698860,256280211,268601191,46435239,46585542,57962106,70491077,57790379,46435243,46435241,36570704,36570705,37723724,29163754,21855055,21855054,29163751,37723717,47645736,59047254,71788870,71788874,85378253,258007976,71788885,59047274,256878794,29163757,29163758,256902099,59047277,71788886,85378266,85378255,85378254,85378260,71788880,71788881,68081837,55683307,55683308,68081839,258551674,258693742,49467545,39533407,39533406,49467543,55683310,44774938,35350267,27227215,27227214,35350264,44774931,257330310,68081832,81571819,95605822,109809035,260417686,272248483,101243668,115321945,101243667,95605816,95605815,259806604,137625806,128207738,114324564,100293973,100293974,260030297,86331646,260030299,100293964,271183636,86410925,81571818,72815937,72815936,86410929,100366978,100293946,86410930,259418359,72815932,60078652,60078651,72815930,259418357,114324568,100293978,100293939,86331619,86331620,86410927,86410926,72815939,60078658,48682427,38760736,30177634,30177633,38760734,48682423,60078650,72815928,60078653,60078654,72815934,72815924,72815925,259413299,86331627,72733860,59996594,48605065,48605064 Dl.O(d2) = 259413297,100366975,100293948,86331629,86331625,86331624,100293945,114324547,100366971,100366972,114390182,271076294,86331611,86331610,100293930,100293936,86331614,86331615,100293932,260630929,114324545,100293938,100293937,86331618,72733846,72733847,86331606,258438090,59996603,59996602,59996586,48605061,38689471,30113638,30113636,38689470,48605059,59996581,52723035,42335967,42335966,52723032,258213799,63834964,63834965,60692469,60692470,73440766,87058806,87058807,81136277,67669916,55330198,55330197,60692466,270357871,95193814,90817928,76942202,76942203,86602063,100563464,90817925,76942199,76942178,258532494,52019925,41709351,41709350,257761761,76942205,76942195,63834975,63834976,76942197,90817922,86331648,72733877,72733876,259003047,269489137,72093205,64980635,257437380,42565977,53005945,64980633,78253827,259690373,86602065,73004622,73004609,73004608,86602058,73004621,60269691,48877287,48877288,258186261,48877278,38957777,38957778,48877280,60269683,73004611,258809465,270836313,73004624,258117113,47968467,47968468,59359576,60269694,48877290,38957784,30371673,30371674,268963579,48877284,48877297,38957795,38957796,38055176,29491239,29491240,38055160,38055161,47968458,258117111,48877282,38957791,30371678,22970166,16734324,16734325,22970168,30371682,38957798,47968471,268653701,22970160,255953465,268399977,22152389,16734322,11691576,7797627,7797628,11691578,16734327,255953467,38957801,38957800,38957794,256927091,29491227,22152388,22152387,29491225,257507263,38957803,30371686,30371685,268939991,29491228,22152390,268083123,7384023,7384022,11132124,11132120,11132119,16032505,22152373,22152377,29491209,38055118,47968410,47968480,59359590,59359588,59359587,59359539,47968426,38055127,29491196,29491197,38055129,47968429,57790369,269764869,59359559,59359537,47968421,47968420,59359536,70680620,57962111,46585545,36698864,36698863,36570702,28099549,20923982,20923981,258007979,47968462,47968463,257729389,51331386,63012264,63012263,51331387,51331380,41146086,41146084,41146085,269041169,32331057,24715032,18242164,12939825,12939824,18242162,24715028,256590949,51331374,60499718,60499719,59688015,48301369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13557106, s2 = 13326054, dlinesl.size( ) = 2 s1 = 13557106, s2 = 13326054, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13557106, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 11249851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249851, s2 = 11325168, int(edited[s2]) = 0 s1 = 11249851, s2 = 11325168, d1 = 19, d2 = 17 Dl.O(d1) = 86437604,72843107,60106584,48711070,38788821,30204086,22812756,16594721,11573672,7703756,7703757,11573674,16594726,22812762,30204095,29654115,29654116,256940255 Dl.O(d2) = 259377799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249851, s2 = 11325168, dlinesl.size( ) = 20 s1 = 11249917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11250039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250039, s2 = 14127677, int(edited[s2]) = 0 s1 = 11250039, s2 = 14127677, d1 = 0, d2 = 29 Dl.O(d1) = 100428674 Dl.O(d2) = 262752077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250039, s2 = 14127677, dlinesl.size( ) = 34 s1 = 11250215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250215, s2 = 11311064, int(edited[s2]) = 0 s1 = 11250215, s2 = 11311064, d1 = 10, d2 = 6 Dl.O(d1) = 100464484,114489089 Dl.O(d2) = 261005977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250215, s2 = 11311064, dlinesl.size( ) = 8 s1 = 11250273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250273, s2 = 11379638, int(edited[s2]) = 0 s1 = 11250273, s2 = 11379638, d1 = 58, d2 = 27 Dl.O(d1) = 100487405,114511352,128385573,128385579,260044865,100487407,114511356,114511354,114511353,128385575,141731027,143454331,155994286,154378265,141731032,141731033,154378262,141731030,128385577,260044865,100487407,114511355,128385581,141731034,141731028,141731027,130122737,116211511,102150262,88159676,74545125,74545126,259525647 Dl.O(d2) = 258746766,84008311,70474746,257513622,97876988,97876987,111809584,113740192,261166409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250273, s2 = 11379638, dlinesl.size( ) = 38 s1 = 11250505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11250521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250521, s2 = 9042389, int(edited[s2]) = 0 s1 = 11250521, s2 = 9042389, d1 = 18, d2 = 133 Dl.O(d1) = 86578402 Dl.O(d2) = 264490682,183099895,173249779,162150721,261539259,122972014,271146605,94419359,108706388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250521, s2 = 9042389, dlinesl.size( ) = 44 s1 = 11250537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250537, s2 = 11378978, int(edited[s2]) = 0 s1 = 11250537, s2 = 11378978, d1 = 10, d2 = 7 Dl.O(d1) = 258502138,38935066,37941170,258733827 Dl.O(d2) = 149866820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250537, s2 = 11378978, dlinesl.size( ) = 24 s1 = 11250543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250543, s2 = 11109644, int(edited[s2]) = 0 s1 = 11250543, s2 = 11109644, d1 = 19, d2 = 4 Dl.O(d1) = 100540646,258807700,260048462,194392292,194392313,262758456,263582080,261640008 Dl.O(d2) = 259288444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250543, s2 = 11109644, dlinesl.size( ) = 14 s1 = 15116913, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13558238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13558238, s2 = 14860338, int(edited[s2]) = 0 s1 = 13558238, s2 = 14860338, d1 = 96, d2 = 137 Dl.O(d1) = 23003833,30408714,38997840,48921807,48921805,48921806,60320439,58122610,58122611,70836997,256961806,48389191,46754115,39277909,30680989,23264338,17000611,17000612,22565904,29925780,38486275,48389195,59772141,48389190,258148755,258151462,258151464,86666952,86666966,73061595,73061594 Dl.O(d2) = 46883782,37004660,28506406,28506397,28506398,32790294,25092173,18546132,13177610,13177609,18546130,25092168,25092167,22191243,16063285,16063286,22191236,22191235,18563593,18563594,25113868,32817500,38098535,29534468,22191320,16063338,16063337,22191318,29534467,38098532,38098370,29534304,22191162,22191161,29534303,31253384,31253386,39928580,47947851,47947852,38098269,29534164,29534165,38098270,41738564,32817613,31860218,31860217,29534186,22191070,22191071,29534192,28778952,28778950,29534446,31203734,31203733,28885311,27231612,20302438,14569804,14569803,15580527,10777850,7121315,4483735,4483734,7120155,4482999,4483002,4999377,4999378,7874598,11792395,16860121,20302040,16045674,16045673,16663354,15580566,15580568,20300055,15580524,15580525,21609354,16383659,14568137,14568138,15582389,15582390,21535448,16128226,11203817,11203816,16128223,22269416,21486967,15482534,10706499,7073342,4453269,4453268,7073340,10706492,15482525,21486953,16128087,16128086,22269263,29620234,29332482,22001731,21535372,15520551,10734084,7092158,7092156,10734075,7434247,4697766,2830425,1642181,1642180,2830419,4697753,7434222,11203937,16128400,22269565,29620429,29446054,22112639,21608761,21608760,16000459,16000458,15999553,15999555,21535581,16127783,16127782,22268881,23871785,17527349,17527350,23871788,31366418,38187159,36647962,36647961,29620116,23131257,23131258,29444785,38007744,47923115,254557986,29621754,23126334,23126333,30544823,254173654,16871398,254102500,29445370,254173316,11797954,11797953,16866392,254128538,15077798,11129535,11129536,16028872,22147825,23128810,27214325,20285987,20285988,22111439,254249678,11793182,7875272,5005736,3026395,3026396,5005742,7882316,11801745,16870467,11802223,11802224,11802073,7882528,5005881,3026475,3026474,5005879,7882521,11802069,16859821,254079400,5003011,5003010,7879176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13558238, s2 = 14860338, dlinesl.size( ) = 2 s1 = 13558238, s2 = 14860338, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13558238, Dl.E( ) = 138, 5.01e-05 seconds used appending s1 = 11251043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11251255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251255, s2 = 10465364, int(edited[s2]) = 0 s1 = 11251255, s2 = 10465364, d1 = 3, d2 = 0 Dl.O(d1) = 258194645 Dl.O(d2) = 60440851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251255, s2 = 10465364, dlinesl.size( ) = 6 s1 = 10465368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10465368, s2 = 11251256, int(edited[s2]) = 0 s1 = 10465368, s2 = 11251256, d1 = 1, d2 = 2 Dl.O(d1) = 80350716 Dl.O(d2) = 258194644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10465368, s2 = 11251256, dlinesl.size( ) = 6 s1 = 13558728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13558728, s2 = 11508332, int(edited[s2]) = 0 s1 = 13558728, s2 = 11508332, d1 = 72, d2 = 71 Dl.O(d1) = 86800946,73188826,60441858,49037844,39107980,30510952,30510951,39107977,49037838,60441851,73188817,85179319,71614922,58895195,47515398,37610427,37610430,47515404,256569472,59832869,72568370,64736103,64736104,64736170,64736168,77927260,73564214,64736125,52820343,52820342,42418797,42418798,52820351,64736129,77927223,91851627,258348080,58895199,58895198,64736232,52820425,52820424,64736230,60817836,52820427,42418841,42418842,52820429,58895186,64736207,64736206,64973557,52998571,42558570,33542202,25753690,25753689,33542201,42558568,52998568,64973552,58350736,46981306,46981305,258047701,84630358,95612503,81578963,81578962,72568363,72568365,86166538,77927304,64736221,58350617,58350618,71066985,68089321,55691465,55691464,55691422,44784130,35360379,35360380,44784132,55691396,58350678,71067013,71067010,64736204,52820403,52820404,59974314,59974315,72711353,84630364,98554310,98554316,90103532,76290019,63269399,51551682,51551683,63269403,76290021,83871307,70346013,68089315,55691456,44784160,44784159,53145820,255634354,257160316,37097643,37097642,42406550,33416392,25648581,25648580,33416391,42406548,52806794,64720680,64720689,72810031,72810032,84630384,72235279,59499842,48111719,38200456,29633603,29633602,38200452,48111714,59499836,59499827,59499825,59499824,72128079,59397304,59397305,72128081,60771176,60771177,269056050,73096351,73096352,72178949,72128083,269056052,38097594,38097593,256606912,39439771,49368546,59397307,48009089,38200478,29633621,22281399,16137554,11210244,7438199,7438198,11210240,16137546,22281385,29633594,38200432,48111687,49368510,39439726,39439727,48048630,38135163,38135160,38755199,30172427,29633618,29633617,23406828,17132749,17132748,255304478,30452303,38755170,33416387,30452134,23043928,16798292,16798291,23043927,23406772,17132707,17132706,23406770,30835679,25648524,23406767,17132703,17132701,12040223,8094373,5185726,3163707,1851973,1851974,3163709,5185730,8094381,12040242,17132768,23406853,30835750,26936188,20050120,20050119,26936191,30452139,30452140,23406893,17132795,17132796,23406877,17132783,12040253,8094389,8094390,12040254,17132784,23406878,30835793,39439824,39439852,39439851,48962901,39041592,30452154,254635470,11745313,11745314,16798302,23043944,30452155,39041594,48962904,48964836,256606896,115214702 Dl.O(d2) = 167473357,177952176,187207567,187207570,187207568,195266144,263632395,177952178,167473358,272606271,143307872,155853136,273387509,264819321,219864706,222596055,265249499,216628119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13558728, s2 = 11508332, dlinesl.size( ) = 54 s1 = 11251287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251287, s2 = 11221016, int(edited[s2]) = 0 s1 = 11251287, s2 = 11221016, d1 = 45, d2 = 36 Dl.O(d1) = 260059337,128738418,261350873,261489115 Dl.O(d2) = 48771378,38851563,30267518,255501819,11620857,7739299,6813900,4273860,4273862,6813821,10348718,11422928,16406537,11444850,7610936,4815080,4815079,7610929,4863053,2930411,1699715,1699714,2930406,4863042,254794441,11413950,7585247,7585248,7598749,7598747,7602109,7609079,4813776,4813775,7609076,7595480,4804553,2900238,2900239,4812353,7606711,6813094,6813093,10347793,7614683,4817691,4817692,7614687,7604254,4810752,2899364,2899362,4810746,7604244,11436409,15475512,16421419,11437539,7605211,7605210,9955107,9955106,14469121,20167529,22031958,255546186,16431958,269389436,38552954,48465552,59856439,59856438,72594080,86191633,73251814,60504762,49100539,257010741,30571941,23154245,256466075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251287, s2 = 11221016, dlinesl.size( ) = 36 s1 = 13559124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048277, s2 = 13559143, int(edited[s2]) = 0 s1 = 14048277, s2 = 13559143, d1 = 11, d2 = 8 Dl.O(d1) = 27143417,27143416,35239796,44622536,55471956,67813653,81280905,78398415,65116133,65116132,78398412 Dl.O(d2) = 106740280,95339133,81280906,81280899,257922609,269641283,67813651,55471959,44622538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048277, s2 = 13559143, dlinesl.size( ) = 2 s1 = 14048277, s2 = 13559143, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14048277, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 15416287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15416287, s2 = 9173615, int(edited[s2]) = 0 s1 = 15416287, s2 = 9173615, d1 = 16, d2 = 61 Dl.O(d1) = 1982721,3369415,5475490,8470790 Dl.O(d2) = 128809567,142164257,154798307,166504554,177085454,186439836,194592782,200523432,193375695,185046430,175507814,175507815,185046431,193375697,200523433,264480273,215619129,218986293,221828395,224266669,226381216,228222896,229840170,231276686,230079834,265618568,222204864,224598852,224183937,221734879,218880603,218880598,215499892,211408238,211408239,215499891,211408237,206402551,200350536,193186320,193186321,184839437,175280156,164508458,164508456,152663274,139964270,126609718,112753769,98763659,84836367,84836366,89598604,76217850,63206870,63206869,76217849,88063829,74451663,68014605,68014606,75816510,86004215,85379528,71790402,61668122,55627472,55627471,50196701,44729428,35309881,33515818,33515819,42515824,52926405,46369395,256397794,20879139,20879138,28047146,36510985,36510986,46369394,40158835,40158837,50183481,61668146,61668124,50183454,50183455,58405769,49294868,255901360,35309583,27189958,20265899,20265900,27189961,35309590,44728938,55323712,44477481,44477482,55323713,51587104,51587105,63306160,76330612,76330611,74607563,61815459,50331900,50331901,61815464,70558266,64407658,52534651,52534650,64407656,254647604,52534648,52534649,47647580,37725622,37725621,37725741,37725739,47647706,59049035,71790474,71789984,59048945,59048944,59685536,71790215,71790414,59566318,59048712,257191734,37725452,47647370,59048713,59048979,71789854,72040194,72040192,85628259,85120377,71549476,58821428,58821429,71549478,75944526,62963178,51287764,41107690,41107689,51287762,58821487,47435148,37527637,37527636,29431516,22099715,268938943,47435135,37527626,28983587,21700932,21700933,28983588,37527618,47435121,37527617,28983578,21700925,21700923,15660613,10841233,10841234,268165120,33808498,33808499,41543037,41543038,37527507,37527506,47435020,51823648,41543111,32654379,24981799,24981797,18460331,18460330,24981811,32654385,32653974,32653973,32654214,27033489,27033488,35120383,32654109,24981547,24981544,32654107,257163693,51342897,256165588,24727289,18254476,18254475,24727287,32343091,41157898,42849326,42849325,51354419,51354420,51742816,254944766,32597072,32597073,25992340,19321351,19321350,25992421,33808587,33808598,41801742,41801743,41177475,41177476,41050242,32256424,32256423,24739658,24739657,25992414,33808582,32256401,25992346,25992347,33808526,33808551,32256390,24656480,18197988,18197986,24656479,32256387,32354198,24738318,18265404,18197983,18197982,18329798,18197966,18197965,13471049,13471047,18198005,12907678,8780471,8780472,12907680,18198009,21681511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15416287, s2 = 9173615, dlinesl.size( ) = 14 s1 = 11251711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11251907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251907, s2 = 11660386, int(edited[s2]) = 0 s1 = 11251907, s2 = 11660386, d1 = 33, d2 = 27 Dl.O(d1) = 260577536,25578002,18969591,18969592,25578003,33337321,39452465,30848314,23417996,23417994,30848311,31627807,27208991,20280895,20280896,27208996,35333822,44761081,55670921,55671592,44762045,35335338,35335339,40315332,50340859,61823131,50340012,40314234,40314233,47698667,37778523,37774748,29212951,29212952,35336403,27212103,20283745,20283743,15820883,10964047,254515749,2753781,1596344,907484,511733,286808,286810,511738,907499,1596365,2753822,4577167,7257575,10964400,15821484,17102769,12017089,8076390,6230957,3901096,3901097,6230962,9499793,13848034,16601010,268617756,254541491,11481799,16479236,18897430,13465816,9208173,9208174,11150005,11202079,11202078,16126047,255083439,7432825,4696804,2829883,1641902,1641904,2829891,4696830,4697019,7432803,7432802,11201438,11150172,7395508,4672039,4672040,7395512,11150184,16058527,22185626,22266103,16126386,16126387,22267476,16126398,16126400,11202566,11202296,11202297,16126293,18952522,16127010,16127011,22268017,22268019,29619007,29619167,29618756,29618755,38185823,256396254,256385082,29528421,22186045,22186044,29528418,38091968,38057086,29618447,22267210,16126070,16126071,22267213,22267882,29618945,38185939,48097423,59391552,48003336,38091982,38091981,48003333,58078953,46707332,46707331,38100383,38100382,48011090,48011193,38100530,38100532,38398887,39219006,268635178,23572907,17261510,12141136,12141137,11849534,7919826,7919827,11849540,16930707,23199867,30621680,33205812,25458398,25458399,31056586,31056587,38099684,38185808,29618727,29618729,30621643,39218944,38099926,37726202,29166179,29166180,255451996,15140417,10442367,10442366,15140414,16065065,22193403,29536556,29536122,22192892,255454465,16064743,15171882,10463661,6897283,4329611,4329612,6897285,10463665,15171887,16474218,16474219,17765352,24128521,29536578,29536576,38100264,31635536,28340906,21128783,21128784,22660373,22660371,28340793,21128678,15180241,15180242,21128683,23101898,16845169,16845170,23101900,30518154,268255517,12342550,12342549,16466380,22660367,30035413,23101816,23101815,16845195,16845193,11933761,11933763,17017736,16845089,16845090,23101823,27240573,27240574,22669922,16474187,16229813,11282483,7489504,7489503,11282480,16229807,11811529,11811530,15133973,16881984,17523230,23867361,22670302,16474494,11478561,11403622,7577845,7577846,11403625,16384925,22564878,16479148,11481713,7636503,4831130,4831129,7636501,11481709,16479140,22404210,16241982,16241981,22404205,16474233,11478388,7634394,4829857,4829858,7634400,11478399,16474246,22669745,22670369,16476749,11480115,11480116,16476751,22672969,30048308,38094021,255804380,16474518,16474517,22670332,22672975,22672976,22669793,16474058,11478291,7635644,4830626,4830473,4830476,7630175,7630176,268407410,255013905,254490181,2581253,1487151,841457,474564,474563,254327513,254718117,12530006,8491131,5491792,5491788,8491126,11034881,7309644,4613525,4613524,6810999,6811000,10345318,11034841,15913238,21028123,15103693,15103694,15103635,11034890,7309650,7309649,4613629,2778075,2778078,4613634,7309591,7309590,11034819,11034971,7309705,4613567,2778047,2778044,4613565,7309701,11034804,11034805,15913185,22014751,29346792,28223794,24069018,17713070,16122543,254771081,4695879,2829350,2829348,4695874,7431248,11199548,15913224,11034831,255068761,16154333,16474943,22461893,16293839,11336534,11336533,16154160,22299519,29651494,38217869,38180889,38180890,48092687,38180888,255395640,38217974,254497954,22299794,29651689,23377168,17107393,12334711,8332787,5378113,5378114,8332789,12334716,16154143,16154142,22299588,255029222,22299427,16153991,11223014,7446609,7446608,11223011,16153987,22299421,29651421,29829268,29829269,31322871,23832406,17493777,17493778,22228400,29575758,29828761,28532854,28532853,31099868,23616145,23616146,21930903,15843781,10979557,7267278,4687231,2824375,2824376,4687233,7417166,11178814,16094579,255133874,28384646,21166651,21166652,28384648,268649647,30221641,38805141,48725850,259422197 Dl.O(d2) = 264779259,219418295,266673173,266761428,274486922,265281322,213567409,264038618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251907, s2 = 11660386, dlinesl.size( ) = 32 s1 = 11251931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251931, s2 = 11186066, int(edited[s2]) = 0 s1 = 11251931, s2 = 11186066, d1 = 4, d2 = 12 Dl.O(d1) = 86944741 Dl.O(d2) = 257598167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251931, s2 = 11186066, dlinesl.size( ) = 8 s1 = 11252021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12081224, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14120001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1471622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11252153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11252153, s2 = 14090124, int(edited[s2]) = 0 s1 = 11252153, s2 = 14090124, d1 = 0, d2 = 0 Dl.O(d1) = 100991254,97917557,86998388,73383141,60636985,49236296,49236297,60636987,52285816,41945245,37443663,31669930,24160332,18665263,13273581,13273582,13312928,9093694,9093693,13312926,18706212,25278702,33003457,41945243,36923298,28424807,21201507,21201508,28081449,28081450,36549725,41753709,254913528,30680029,39276987,32287441,24677858,24677859,31035759,23554008,23554007,31035758,39713051,39712987,39712988,31035762,23554010,17245319,12127647,8159311,8159312,12127650,17245324,21910723,255792636,37788681,31035701,23553973,17245296,17245297,21910715,15828843,15828844,21910716,22048736,29379228,37944401,37797486,29234956,21917511,21917510,29234955,37797485,37797556,29235035,21917581,255871821,268934745,59115366,71853067,59115307,57649463,256907802,47718034,37797492,37797491,256365908,37787565,37787564,47708613,59106717,258721209,84253395,84253396,270801075,84253398,70701938,270280577,46607703,36719527,36719528,39525017,33734260,33734259,42764275,53214124,58721396,47332805,256039900,21606221,21606222,28882174,37424421,47332811,37734638,34990129,29523707,29523708,38087723,38738256,30598999,23180281,16915338,16915339,256467959,49123322,60524461,72765774,60028927,60028926,58721397,48636028,48636029,49989921,39973882,39973881,49989920,61443384,59284710,57984533,46607736,46607737,57984535,49965320,49965319,55219486,55219487,57984446,58638582,47245224,37969916,29405935,29405934,37335402,28797718,21531951,21531950,23580516,23580515,31064242,39742137,49760833,58636055 Dl.O(d2) = 100991254,97917557,86998388,73383141,60636985,49236296,49236297,60636987,52285816,41945245,37443663,31669930,24160332,18665263,13273581,13273582,13312928,9093694,9093693,13312926,18706212,25278702,33003457,41945243,36923298,28424807,21201507,21201508,28081449,28081450,36549725,41753709,254913528,30680029,39276987,32287441,24677858,24677859,31035759,23554008,23554007,31035758,39713051,39712987,39712988,31035762,23554010,17245319,12127647,8159311,8159312,12127650,17245324,21910723,255792636,37788681,31035701,23553973,17245296,17245297,21910715,15828843,15828844,21910716,22048736,29379228,37944401,37797486,29234956,21917511,21917510,29234955,37797485,37797556,29235035,21917581,255871821,268934745,59115366,71853067,59115307,57649463,256907802,47718034,37797492,37797491,256365908,37787565,37787564,47708613,59106717,258721209,84253395,84253396,270801075,84253398,70701938,270280577,46607703,36719527,36719528,39525017,33734260,33734259,42764275,53214124,58721396,47332805,256039900,21606221,21606222,28882174,37424421,47332811,37734638,34990129,29523707,29523708,38087723,38738256,30598999,23180281,16915338,16915339,256467959,49123322,60524461,72765774,60028927,60028926,58721397,48636028,48636029,49989921,39973882,39973881,49989920,61443384,59284710,57984533,46607736,46607737,57984535,49965320,49965319,55219486,55219487,57984446,58638582,47245224,37969916,29405935,29405934,37335402,28797718,21531951,21531950,23580516,23580515,31064242,39742137,49760833,58636055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11252153, s2 = 14090124, dlinesl.size( ) = 2 s1 = 11252153, s2 = 14090124, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11252153, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11252449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11252449, s2 = 14128090, int(edited[s2]) = 0 s1 = 11252449, s2 = 14128090, d1 = 52, d2 = 63 Dl.O(d1) = 265230217,224746095,274602669,235022864 Dl.O(d2) = 226379900,265852219,229839179,228221845,228221838,228221837,228221841,226379902,224264977,221826191,218983803,264960962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11252449, s2 = 14128090, dlinesl.size( ) = 76 s1 = 11252469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11252469, s2 = 10516027, int(edited[s2]) = 0 s1 = 11252469, s2 = 10516027, d1 = 26, d2 = 29 Dl.O(d1) = 101072965 Dl.O(d2) = 109423120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11252469, s2 = 10516027, dlinesl.size( ) = 48 s1 = 11252497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11252497, s2 = 11389938, int(edited[s2]) = 0 s1 = 11252497, s2 = 11389938, d1 = 13, d2 = 5 Dl.O(d1) = 260079405 Dl.O(d2) = 161712456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11252497, s2 = 11389938, dlinesl.size( ) = 22 s1 = 8413052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8413052, s2 = 6712563, int(edited[s2]) = 0 s1 = 8413052, s2 = 6712563, d1 = 32, d2 = 30 Dl.O(d1) = 259631551 Dl.O(d2) = 257612933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8413052, s2 = 6712563, dlinesl.size( ) = 38 s1 = 10205084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10205084, s2 = 7591068, int(edited[s2]) = 0 s1 = 10205084, s2 = 7591068, d1 = 16, d2 = 8 Dl.O(d1) = 260683268,122966012,122966013 Dl.O(d2) = 268664960,26669314,19853001,19853000,26669312,34662010,33316125,33316124,42296692,47845535,57679797,50112436,40091918,40091917,38235833,31412138,23922557,23922558,31412141,37925804,39250229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10205084, s2 = 7591068, dlinesl.size( ) = 2 s1 = 10205084, s2 = 7591068, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 10205084, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14028497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11252969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253079, s2 = 11167410, int(edited[s2]) = 0 s1 = 11253079, s2 = 11167410, d1 = 23, d2 = 21 Dl.O(d1) = 258848485,73594064,270882281 Dl.O(d2) = 262485186,91808079,77886090,259048971,260886159,113638342,259103518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253079, s2 = 11167410, dlinesl.size( ) = 24 s1 = 11253165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253211, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9020481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253241, s2 = 10886317, int(edited[s2]) = 0 s1 = 11253241, s2 = 10886317, d1 = 71, d2 = 42 Dl.O(d1) = 87571496,73973262,257778228,101529339,261267475,273153853,146860222,263339091,273443322,207673092,274114681,226856223,228646560,265788262,274639315,274608938 Dl.O(d2) = 225083994,265119724,216856077,264396012,273659692,273760217,265263911,212814165,208052276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253241, s2 = 10886317, dlinesl.size( ) = 56 s1 = 11253351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253577, s2 = 11283736, int(edited[s2]) = 0 s1 = 11253577, s2 = 11283736, d1 = 77, d2 = 91 Dl.O(d1) = 272596981 Dl.O(d2) = 265592714,274287596,264802700,264270622,263609308,262791936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253577, s2 = 11283736, dlinesl.size( ) = 36 s1 = 10594958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16004057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14609936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14609936, s2 = 11280984, int(edited[s2]) = 0 s1 = 14609936, s2 = 11280984, d1 = 12, d2 = 0 Dl.O(d1) = 102114986,116172503,259491184,260106605,129629068,129629067,129629068,273886279 Dl.O(d2) = 113139585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14609936, s2 = 11280984, dlinesl.size( ) = 14 s1 = 11253847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253885, s2 = 10381205, int(edited[s2]) = 0 s1 = 11253885, s2 = 10381205, d1 = 9, d2 = 15 Dl.O(d1) = 262329351,177665617 Dl.O(d2) = 195032545,201950914,207770348,212567851,273702682,201950914,207770348,264728646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253885, s2 = 10381205, dlinesl.size( ) = 10 s1 = 14198634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254433, s2 = 7053920, int(edited[s2]) = 0 s1 = 11254433, s2 = 7053920, d1 = 43, d2 = 81 Dl.O(d1) = 260115989 Dl.O(d2) = 179013205,168725749,261907147,117797667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254433, s2 = 7053920, dlinesl.size( ) = 30 s1 = 11254439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13562616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13562616, s2 = 11356188, int(edited[s2]) = 0 s1 = 13562616, s2 = 11356188, d1 = 20, d2 = 19 Dl.O(d1) = 87833877,257834486,49971961,49971962,42867306,33826212,33826211,256187782,32565969,32565968,41426155,256721394,43360243,43859712,256198291,254962721,19796417,255882286,256377778,59256313,258733823 Dl.O(d2) = 127406779,140762419,140762420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13562616, s2 = 11356188, dlinesl.size( ) = 18 s1 = 11254479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254479, s2 = 11229502, int(edited[s2]) = 0 s1 = 11254479, s2 = 11229502, d1 = 1, d2 = 7 Dl.O(d1) = 87835463 Dl.O(d2) = 74230596,61451386,258254755,87835462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254479, s2 = 11229502, dlinesl.size( ) = 8 s1 = 11254523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254523, s2 = 11338168, int(edited[s2]) = 0 s1 = 11254523, s2 = 11338168, d1 = 21, d2 = 22 Dl.O(d1) = 259694634,39158120,30560848,30560849,39158122,31754108,31754107,40449116,269413345,74773894,88405461,262507925 Dl.O(d2) = 259705820,78534299,272731173,160342316,148099126,148099125,262013402,264081597,208764410,203159906,196475532,263614244,262798298,145608784,132362549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254523, s2 = 11338168, dlinesl.size( ) = 24 s1 = 11254599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10496816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254653, s2 = 11255588, int(edited[s2]) = 0 s1 = 11254653, s2 = 11255588, d1 = 34, d2 = 2 Dl.O(d1) = 258525322,129797715 Dl.O(d2) = 95147134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254653, s2 = 11255588, dlinesl.size( ) = 48 s1 = 11254713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254713, s2 = 11423902, int(edited[s2]) = 0 s1 = 11254713, s2 = 11423902, d1 = 1, d2 = 5 Dl.O(d1) = 101855866 Dl.O(d2) = 262339954,262339957,177818223,187091967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254713, s2 = 11423902, dlinesl.size( ) = 2 s1 = 11254713, s2 = 11423902, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11254713, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11254753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11888450, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11888450, s2 = 7251432, int(edited[s2]) = 0 s1 = 11888450, s2 = 7251432, d1 = 6, d2 = 10 Dl.O(d1) = 258882473,101869134 Dl.O(d2) = 264563849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11888450, s2 = 7251432, dlinesl.size( ) = 8 s1 = 11254885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254885, s2 = 12765107, int(edited[s2]) = 0 s1 = 11254885, s2 = 12765107, d1 = 1, d2 = 88 Dl.O(d1) = 101891663 Dl.O(d2) = 201733903,201733902,207580222,212401638,212401637,207580216,201733897,273567707,177349015,263213319,177349014,186670565,194787768,201733898,201733901,194787771,194787772,201733902,207580222,212401638,212401637,207580216,201733897,273567707,177349015,166795930,155099536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254885, s2 = 12765107, dlinesl.size( ) = 24 s1 = 16046568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14652759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14198690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14198690, s2 = 14652760, int(edited[s2]) = 0 s1 = 14198690, s2 = 14652760, d1 = 6, d2 = 6 Dl.O(d1) = 260021877,114192386,260672600,116051664,102001355,88022355,258209884,50152802,255975518,23958176,17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610149,23957480,31450267,40130152,50151684,53098859,42648214,256072582,65084625,257719190,92402111,258956420,134758608,260795068,160129552,171352007,175163201,164373160,152508456,139790335,126416684,112547124,98553183,84629261,71065902,58349602,46980195,37096649,256022266,37095911,256317674,268070759,7015543,255031857,15380574,21358214,28589418,37095914,46979331,58348654,71064929,84628371,259917985,126415846,139789479,152507564,164372328,263095005,184737856,263803444,165749413,153976487,141305700,127946017,259791572,260013387 Dl.O(d2) = 260021877,114192386,260672600,116051664,102001355,88022355,258209884,50152802,255975518,23958176,17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610149,23957480,31450267,40130152,50151684,53098859,42648214,256072582,65084625,257719190,92402111,258956420,134758608,260795068,160129552,171352007,175163201,164373160,152508456,139790335,126416684,112547124,98553183,84629261,71065902,58349602,46980195,37096649,256022266,37095911,256317674,268070759,7015543,255031857,15380574,21358214,28589418,37095914,46979331,58348654,71064929,84628371,259917985,126415846,139789479,152507564,164372328,263095005,184737856,263803444,165749413,153976487,141305700,127946017,259791572,260013387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14198690, s2 = 14652760, dlinesl.size( ) = 2 s1 = 14198690, s2 = 14652760, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14198690, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11255249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13635111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13635111, s2 = 13473994, int(edited[s2]) = 0 s1 = 13635111, s2 = 13473994, d1 = 7, d2 = 10 Dl.O(d1) = 87981579,259513263,89885148,99015363 Dl.O(d2) = 99060481,85136217,71566159,259297862,62832867,62832866,58839111,58839112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13635111, s2 = 13473994, dlinesl.size( ) = 14 s1 = 11255325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255325, s2 = 11158010, int(edited[s2]) = 0 s1 = 11255325, s2 = 11158010, d1 = 13, d2 = 4 Dl.O(d1) = 258267709,31434762,255571329,17599011,23943819,30209464,22817565,22817564,22586732,22586733,25684333,33456187,39979092,31304156,23817163,17482179,12326074,255173331,23817157,256518457,39979082 Dl.O(d2) = 61472837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255325, s2 = 11158010, dlinesl.size( ) = 8 s1 = 13563514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13689935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11255513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255513, s2 = 11462274, int(edited[s2]) = 0 s1 = 11255513, s2 = 11462274, d1 = 12, d2 = 1 Dl.O(d1) = 260133423,130022537,261302767 Dl.O(d2) = 187236459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255513, s2 = 11462274, dlinesl.size( ) = 14 s1 = 11255573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11255587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255587, s2 = 11254654, int(edited[s2]) = 0 s1 = 11255587, s2 = 11254654, d1 = 3, d2 = 1 Dl.O(d1) = 102070517 Dl.O(d2) = 95113258,258525323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255587, s2 = 11254654, dlinesl.size( ) = 48 s1 = 11255783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255783, s2 = 11361438, int(edited[s2]) = 0 s1 = 11255783, s2 = 11361438, d1 = 9, d2 = 13 Dl.O(d1) = 260734999 Dl.O(d2) = 123760152,123760153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255783, s2 = 11361438, dlinesl.size( ) = 8 s1 = 13564688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13449659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13449659, s2 = 13564687, int(edited[s2]) = 0 s1 = 13449659, s2 = 13564687, d1 = 0, d2 = 0 Dl.O(d1) = 12632912,17839633,24209721,31717327,40409278,50443234,61933850,257864382,72369584,59635475,48248398,38337821,29766817,22404068,16241853,11291806,7497052,7497053,7280264,4591401,4591400,7280261,10997818,14195699,9758582,9758581,14195696,16196366,16196367,21482966,15479389,10704260,7071880,7071879,10704257,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770730,14212913,19839436,19654517,19654519,14093726,9693631,254463687,1387311,788991 Dl.O(d2) = 12632912,17839633,24209721,31717327,40409278,50443234,61933850,257864382,72369584,59635475,48248398,38337821,29766817,22404068,16241853,11291806,7497052,7497053,7280264,4591401,4591400,7280261,10997818,14195699,9758582,9758581,14195696,16196366,16196367,21482966,15479389,10704260,7071880,7071879,10704257,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770730,14212913,19839436,19654517,19654519,14093726,9693631,254463687,1387311,788991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13449659, s2 = 13564687, dlinesl.size( ) = 2 s1 = 13449659, s2 = 13564687, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13449659, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11256317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13564796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11256789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11256789, s2 = 11048168, int(edited[s2]) = 0 s1 = 11256789, s2 = 11048168, d1 = 21, d2 = 25 Dl.O(d1) = 258294027 Dl.O(d2) = 255202955,12664733,16704097,11664040,7774695,7774696,9056284,267858889,3724786,4277711,4277712,6774578,4585325,2758663,2758662,4585322,7271012,10984622,13306589,10303301,6775291,4246840,4246841,6775292,6826773,4282854,4282855,6826776,10363412,13323447,12658230,254616007,3464491,254193609,1178786,2054580,3464518,5584117,4283509,2560998,1474862,833997,833998,1474873,2561032,4283566,6824871,6824869,10361290,10365355,10365356,15037863,12091577,12091576,17195562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11256789, s2 = 11048168, dlinesl.size( ) = 26 s1 = 16269231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11256927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11256927, s2 = 10986098, int(edited[s2]) = 0 s1 = 11256927, s2 = 10986098, d1 = 4, d2 = 10 Dl.O(d1) = 102448163 Dl.O(d2) = 256048230,60088272,48692087,38770086,30186403,254283794,16579929,16579932,21311853,28534454,34195856,34195855,255193218,46801273,36923024,28424497,21201244,15236078,10510497,10510496,15236077,21201239,24198450,254412958,17847374,12638657,8581040,8581038,12638651,17740195,12681387,8613104,5598469,5598470,8613107,12681395,17728306,24085632,17745279,12555936,12555937,17731023,17731027,17738633,17847462,13459497,13459498,17740244,12555624,8512676,5511695,3399236,2004002,1145540,642593,642588,1145530,267773290,254189992,254413432,17388342,12253308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11256927, s2 = 10986098, dlinesl.size( ) = 8 s1 = 11257069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11257069, s2 = 11002212, int(edited[s2]) = 0 s1 = 11257069, s2 = 11002212, d1 = 7, d2 = 4 Dl.O(d1) = 258668150,50550456 Dl.O(d2) = 254966840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11257069, s2 = 11002212, dlinesl.size( ) = 12 s1 = 14198797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16065081, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15634694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15634694, s2 = 2655597, int(edited[s2]) = 0 s1 = 15634694, s2 = 2655597, d1 = 12, d2 = 10 Dl.O(d1) = 7045441 Dl.O(d2) = 139901815,146256898,133022781,119187542,104992607,90815089,76939174,76939173,63831834,63831833,76939175,90815090,104992608,119187544,260037378,130438151,116596016,102494298,88487855,74852415,62054429,50562160,40525873,256050777,17926193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15634694, s2 = 2655597, dlinesl.size( ) = 2 s1 = 15634694, s2 = 2655597, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15634694, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 3713796, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16169289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16169289, s2 = 16288164, int(edited[s2]) = 0 s1 = 16169289, s2 = 16288164, d1 = 18, d2 = 14 Dl.O(d1) = 18265976,24738837,32354670,41169623,255939388,268093448,37633811,37633812,47539362,256439056,50580094,256859016,31845765,40543929,50580095,62072159,74870103,65226864,53238106,42786682,33755690,33755691,42786684,47090218,47090219,254388996,61543568,50065518,40046256,33979987,26140591,19443875,19443876,26140592,33979989,39727190,43034751,36450962,32739062,25049132,25049133,21765278,15708701,15708700,21765275,29060914,255543312,18513493,25050056,32740094,27965470,27965471,36423967,33627854,33627855,36716922,36716921,46605021,258643755,60154933,48761154,38841791,30258177,22862534,16635591 Dl.O(d2) = 176512916,262377474,141412774,128043830,114153716,100119569,86153271,72555004,258151863,38525753,29960275,22595657,16412456,254785619,2896274,2896275,4805567,7596994,11054262,11554073,11630562,16581901,16581900,11624454,11559411,268089554,7610313,7614786,7594075,7594076,5764171,5764172,7587245,6433973,4036203,2418681,254313819,6433971,9786357,14235998,19869678,26682396,19864129,19864128,17948733,17948734,19866115,26684589,25441701,25441700,33187062,26693977,22075994,15970375,11085345,11085344,15970373,255475448,37970378,41975829,52316196,64167685,77315814,257534992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16169289, s2 = 16288164, dlinesl.size( ) = 2 s1 = 16169289, s2 = 16288164, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16169289, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 11257237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11257237, s2 = 11037190, int(edited[s2]) = 0 s1 = 11257237, s2 = 11037190, d1 = 1, d2 = 1 Dl.O(d1) = 257521882,130493478,143817276,269340572,257521884,103484895,256400028,130493478,143817275,269340572,117615285,103484895,255465082,254354166,32134174,40911968,254774612 Dl.O(d2) = 257521882,130493478,143817276,269340572,257521884,103484895,256400028,130493478,143817275,269340572,117615285,103484895,255465082,254354166,32134174,40911968,254774612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11257237, s2 = 11037190, dlinesl.size( ) = 2 s1 = 11257237, s2 = 11037190, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11257237, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11257737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11257737, s2 = 11145012, int(edited[s2]) = 0 s1 = 11257737, s2 = 11145012, d1 = 40, d2 = 8 Dl.O(d1) = 89206894,258440946,50928182,40808560,40808559,50928180,62532010,260186117,270878404,115007819 Dl.O(d2) = 115772427,101727347,87754829,258711040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11257737, s2 = 11145012, dlinesl.size( ) = 24 s1 = 11257777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11258519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258519, s2 = 15268439, int(edited[s2]) = 0 s1 = 11258519, s2 = 15268439, d1 = 1, d2 = 1 Dl.O(d1) = 89590218,75807739,62843686,62843677,257136275,24647336,256074297,41037899 Dl.O(d2) = 89590218,75807739,62843686,62843677,257136275,24647336,256074297,41037899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258519, s2 = 15268439, dlinesl.size( ) = 2 s1 = 11258519, s2 = 15268439, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11258519, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15268440, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13567248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11258605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11258921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258921, s2 = 15249618, int(edited[s2]) = 0 s1 = 11258921, s2 = 15249618, d1 = 43, d2 = 0 Dl.O(d1) = 89810375,258344821,51369217,256593301,256593297,257731875,76033433,76024258,255702570,32357878,32357877,41173703,256170996,257247644,118043759,103902163,258457724,76033418,76033419,89810373,103911631,118053317,131877581,259087334 Dl.O(d2) = 41183014,32366939,256593295,258970355,51369211,63050384,258457722,60816886,49417042,49417043,51102199,260307582,686905,686906,1216380,2111092,3545324,3646766,3646768,5843923,7146651,10814299,15627901,11589633,7714560,7714557,6492960,4068459,2434506,1407930,801082,801085,1407942,1407946,2434410,1408436,1408409,801316,454080,255930,255929,454078,801311,1408396,2435372,4069887,256807476,254217726,1457615,825263,466025,262288,262287,466023,825258,1457608,2529279,4230197,6750906,8329548,7040684,5949115,3720358,3720359,5949118,8216651,8216650,6800415,4264568,4264564,3711699,2222670,1289330,1289331,736059,736058,1289394,2222802,3711920,254642157,5955121,5955123,9101441,13321390,13675342,256153295,42617131,47352294,256955462 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 4 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258987, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11259085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259085, s2 = 12499781, int(edited[s2]) = 0 s1 = 11259085, s2 = 12499781, d1 = 10, d2 = 9 Dl.O(d1) = 255608320,41231651,32406904,24782310,18300975,18300976,24782311,25431697,18837397,18837399,18686416,13293195,13293197,18686422,25257710,20646200,20646198,25010413,20646224,20646221,19362412,19362415,18300752,18300747,24781963,32406444,27526396,20512813,14715391,14715386,14889737,10238212,10238208,14889744,20397057,20397053,20411988 Dl.O(d2) = 6641177,10114138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259085, s2 = 12499781, dlinesl.size( ) = 14 s1 = 11259257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259257, s2 = 14128642, int(edited[s2]) = 0 s1 = 11259257, s2 = 14128642, d1 = 0, d2 = 5 Dl.O(d1) = 260224491,132199210 Dl.O(d2) = 145430244,157832063,262748601,263926111,194299657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259257, s2 = 14128642, dlinesl.size( ) = 2 s1 = 11259257, s2 = 14128642, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11259257, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11259299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11259333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259333, s2 = 11028506, int(edited[s2]) = 0 s1 = 11259333, s2 = 11028506, d1 = 8, d2 = 7 Dl.O(d1) = 259065488,256656833,18996164,13556378,13556377,13566355,255272201,19048585,13598028,255274461,13634379,9336221,9336220,9336254,6115408,6115409,9274172,9274175,6092132 Dl.O(d2) = 6092131,6134627,9320107,13611102,254664708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259333, s2 = 11028506, dlinesl.size( ) = 10 s1 = 11028505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11028505, s2 = 11259334, int(edited[s2]) = 0 s1 = 11028505, s2 = 11259334, d1 = 6, d2 = 8 Dl.O(d1) = 254664709,3861851,2313503,2313506,2415581 Dl.O(d2) = 2415582,4030988,6425232,6160554,6160553,9403090,13726799,13745388,13745387,255274460,25902642,19241826,255272200,25928525,33735591,42765733,43021593,256656832,259065489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11028505, s2 = 11259334, dlinesl.size( ) = 10 s1 = 11259799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11259823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259823, s2 = 16375819, int(edited[s2]) = 0 s1 = 11259823, s2 = 16375819, d1 = 4, d2 = 62 Dl.O(d1) = 104765949,118959555 Dl.O(d2) = 254328057,2585292,4321847,268066509,15142175,15142176,21080455,28286477,30047054,22671688,267979770,11479371,16475659,21192427,15229123,15229126,21099193,15155667,10452123,6890070,6890068,6890486,4325665,2587909,2587910,4325666,6890487,10452855,15156791,21100623,28310701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259823, s2 = 16375819, dlinesl.size( ) = 16 s1 = 11259899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259899, s2 = 11477920, int(edited[s2]) = 0 s1 = 11259899, s2 = 11477920, d1 = 0, d2 = 5 Dl.O(d1) = 104805950 Dl.O(d2) = 169795085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259899, s2 = 11477920, dlinesl.size( ) = 22 s1 = 11259969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259969, s2 = 11544860, int(edited[s2]) = 0 s1 = 11259969, s2 = 11544860, d1 = 30, d2 = 20 Dl.O(d1) = 261405755,121503682,121503681,135382821,148575206,148575221,135382828,135382830,148575224,262444894,160836096,172035714,161633825,161633823,172799005,182706644,190752469,190752471,198272399,204663780,204663729,198272347,198272346,191265355,273807189,182025473,182025472,190752422,273274126,274156199,232140243 Dl.O(d2) = 237913347,237913334,237159950,237159951,237913338,238598083,238399939,237697824,236925086,236332552,235426842,234434381,233343885,232140242,232140243,233343888,266069850,266185536,236332568,235426851,234434388,233343889,233343888,266069848,232989873,266389686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259969, s2 = 11544860, dlinesl.size( ) = 38 s1 = 11260019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11260019, s2 = 11648134, int(edited[s2]) = 0 s1 = 11260019, s2 = 11648134, d1 = 21, d2 = 17 Dl.O(d1) = 258998109,76846554,258778290,259740886 Dl.O(d2) = 256099821,18501502,18501501,25034911,268732105,269485303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11260019, s2 = 11648134, dlinesl.size( ) = 2 s1 = 11260019, s2 = 11648134, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11260019, Dl.E( ) = 28, 1.6e-05 seconds used appending s1 = 11260113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11260113, s2 = 14108445, int(edited[s2]) = 0 s1 = 11260113, s2 = 14108445, d1 = 53, d2 = 86 Dl.O(d1) = 260840465 Dl.O(d2) = 219655764,264582224,263996232,142542726,269888616,17153378,12056810,8111734,254387583,3170761,5195959,8110170,10699123,7068478,4450364,2673620,2673621,4450367,5340400,3282505,3282504,5340394,8276785,6944496,4364141,4364139,6944490,9252424,13520640,15301679,13511084,9244748,6054804,6054808,6054797,6054796,7903163,7903162,9244708,9244709,10384849,6844028,4294462,2567512,1478307,1478295,835692,254156105,2567490,4294419,254714725 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11260845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11260987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11260987, s2 = 14111278, int(edited[s2]) = 0 s1 = 11260987, s2 = 14111278, d1 = 12, d2 = 26 Dl.O(d1) = 260851815,261956595 Dl.O(d2) = 211718094,264492156,200776103,193675110,185392838,175902458,175902459,167231308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11260987, s2 = 14111278, dlinesl.size( ) = 36 s1 = 11261049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11261273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261273, s2 = 11229084, int(edited[s2]) = 0 s1 = 11261273, s2 = 11229084, d1 = 12, d2 = 11 Dl.O(d1) = 91232525 Dl.O(d2) = 91232522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261273, s2 = 11229084, dlinesl.size( ) = 14 s1 = 14090715, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14642933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11261523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261523, s2 = 11494248, int(edited[s2]) = 0 s1 = 11261523, s2 = 11494248, d1 = 9, d2 = 15 Dl.O(d1) = 260264067 Dl.O(d2) = 273443443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261523, s2 = 11494248, dlinesl.size( ) = 18 s1 = 11261633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261633, s2 = 10436386, int(edited[s2]) = 0 s1 = 11261633, s2 = 10436386, d1 = 19, d2 = 23 Dl.O(d1) = 260265823 Dl.O(d2) = 262925733,189616247,197302997,203859481,264625705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261633, s2 = 10436386, dlinesl.size( ) = 26 s1 = 11261825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262003, s2 = 11016646, int(edited[s2]) = 0 s1 = 11262003, s2 = 11016646, d1 = 9, d2 = 11 Dl.O(d1) = 271989290 Dl.O(d2) = 258628878,268063542,254219024,9405915,13730346,14604007,15321804,21285874,20350545,14607176,14607175,14924536,20822484,268382581,15381497,10629423,7016132,7016131,10629421,268206621,18879301,18879300,25481609,268380878,255027770,7479038,4726679,2847849,2847850,4726682,7479044,11266322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262003, s2 = 11016646, dlinesl.size( ) = 14 s1 = 11262091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262091, s2 = 11110346, int(edited[s2]) = 0 s1 = 11262091, s2 = 11110346, d1 = 4, d2 = 16 Dl.O(d1) = 258404153 Dl.O(d2) = 269779320,18852388,268296791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262091, s2 = 11110346, dlinesl.size( ) = 8 s1 = 11262153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262279, s2 = 11403548, int(edited[s2]) = 0 s1 = 11262279, s2 = 11403548, d1 = 18, d2 = 4 Dl.O(d1) = 259437748,91531601,77600787 Dl.O(d2) = 64431792,256458138,33237603,28394142,28394141,25033715,18500617,254792064,5847372,3649088,2181450,1264322,720571,720572,1264324,269341700,13144040,256099727,259624893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262279, s2 = 11403548, dlinesl.size( ) = 34 s1 = 11262363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262363, s2 = 11058570, int(edited[s2]) = 0 s1 = 11262363, s2 = 11058570, d1 = 20, d2 = 15 Dl.O(d1) = 105761218,93599534,258786964,77277538,91197835,270336652,87856617,87856616,101831270,87856619,87856618,101831273,115877932,115877931,119263793,260056236,122305439,107889709,93461058,79330567,79330568,93461060,257855158,100182468,86218927,72620501,257547723,38577348,30006449,22636346,16448251,268230999,16448253,16448252,22636348,30006453 Dl.O(d2) = 256926808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262363, s2 = 11058570, dlinesl.size( ) = 22 s1 = 11262403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262403, s2 = 11044732, int(edited[s2]) = 0 s1 = 11262403, s2 = 11044732, d1 = 12, d2 = 9 Dl.O(d1) = 259593150 Dl.O(d2) = 255264221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262403, s2 = 11044732, dlinesl.size( ) = 14 s1 = 11262461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262461, s2 = 14164048, int(edited[s2]) = 0 s1 = 11262461, s2 = 14164048, d1 = 44, d2 = 39 Dl.O(d1) = 21618623,254484246,16088393,22220521,29566516,37834515,29268369,28607412,28607411,30267317,255883062,33458918,33458917,39046285,268665904,7623223,7623225,11460834,14562064,10020415,6585973,4126270,2468367,2468366,4126263,6585956,10020384,14193624,15587464,10782964,10782967,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660822,5953353,3723082,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384526,6603328,6603331,5587565,3466540,3466543,5587575,8599067,12663519,254486360,9288681,6084926,3807426,3807425,6084923,9288675,13566491,19008583,25623169,30105956,37442742,47349472,42769964,33739958,25932896,25932897,24225430,20301288,254986007,10025104,10783640,10783639,15588380,21618517,20824051,14958817,14958818,20860339,20810113,20810114,20959573,15050348,15050347,20860352,28027644,21624091,15593491,10787277,10787274,15593482,20290827,20187150,14483856,9965495,9965496,14483857,19062472,19044518,19044517,254667632,21622214,21622216,23277994,17019661,11935570,10046319,10046320,268556883,36871673,28375099,21157997,15202249,10485604,256172828,13749524,9420913,9420914,13749526,13814093,19131907,19176893,254909312,27088045,257827835,42752529,42260437,42260438,269509523,91655035,270556152,91655035,98312537,84402858,84402856,86001421,258141457,59669834,72405275,85630643,260581035 Dl.O(d2) = 255093633,11308367,16264796,256951893,258141461,260608344,255084975,934763,934761,1643941,2833731,4703865,7444748,11220168,16150238,255056524,254861537,5458422,5458425,8450263,12309405,10775435,10775434,13373273,18777834,23976949,17629604,12450899,8419299,5433853,3340397,1964323,254135841,349586,191632,191633,349591,629433,629359,629360,1121850,1964121,3340010,5433238,8410566,8410569,5435156,3341246,3341248,5435165,8421067,8436146,8427056,8427055,8427608,12459066,12466184,8436181,5446827,5446829,5449570,3350074,1969597,1124659,1124657,1969591,3340352,5433780,6883424,6883426,8427745,8429878,10441379,10441378,8423031,8423028,8419885,5434275,5434276,254857881,17630225,12455717,268114443,12467476,11195540,7428408,7428407,8434240,8434239,8423882,254858399,12458684,12458683,255186197,12443066,8442760,8442761,11248880,11248882,16183085,12454346,12454345,17632337,12474611,8444334,5453259,3352446,1970853,1125305,1125306,1970856,3352452,254600229,3345777,3345778,3352949,1971161,1971159,3352945,5454004,8445139,8427564,8427563,12455637,8435015,5445879,3347861,1968437,1968438,3347863,5445882,8435023,12466154,12441185,8409510,8409508,12441183,17619206,12437320,12437321,12462032,8430942,8424233,8424234,8430575,5442471,3345751,1967282,1123513,1123512,1967276,3336129,1962004,1120758,1120756,1961999,3335018,1972873,1972870,3355835,5458344,8418405,5453549,3352624,1970964,1970961,3352617,5453536,8444626,12445077,8413462,8408511,5458945,3356249,1973104,1126487,1126488,1973106,3356252,254602151,8420112,254421871,2062269,2062268,3475670,3475669,5599320,8407066,5424986,5424985,5438497,8425174,8425171,5451494,3351309,1970244,1124979,630930,630928,630881,350294,350293,630878,1124898,1970107,3351082,5451171,6194660,3877189,2321991,2321993,3877193,6194667,9448904,13781524,13781461,13781460,13781074,9448639,9448638,13781069,15897185,11020532,255067393,8497734,8497735,5621463,3492401,2074673,2074672,3492396,5621452,8643321,9448611,9448612,13781010,13781228,13781227,14490779,9970327,6552625,6552624,9970324,14490773,20195903,16360164,11385250,7563959,7563786,7563787,11384996,255476435,22450556,254732966,10006690,6576052,4119438,4119437,4424630,7033060,10651258,15409391,20271178,27197591,21246937,15280795,10546770,6955647,6955648,10546771,11746965,11746964,10550353,10532959,6946391,4365153,4365154,4377380,4377377,4375948,4375947,4377248,4377247,6967396,4377203,4377201,4358542,2611432,2611431,4358474,2619925,2619931,2231112,2231115,3726407,5958665,8105534,10566535,7069918,7069919,8107844,8107846,12055753,8105557,5193291,3168910,1855344,1058970,595515,332032,332029,595506,1058958,1855327,3168883,5193231,4729930,2849710,254166973,940480,1059321,1059322,1856063,3170338,5196102,6069555,3797556,2274611,2274607,3797536,4377817,4377820,6968407,8374261,5404551,5404549,8374289,12069990,8116520,5199873,5199868,8104378,6048544,3784959,3784962,6048556,9235228,10532367,10532373,7970284,5071345,3074640,1793656,1023194,1023197,1023166,901936,508721,285247,285244,508711,901907,1586566,2738160,4554560,7227348,10925873,11576295,11576294,16598495,22817688,256439833,48715538,258796991,257627912,47820298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262461, s2 = 14164048, dlinesl.size( ) = 36 s1 = 11262497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262497, s2 = 11262500, int(edited[s2]) = 0 s1 = 11262497, s2 = 11262500, d1 = 12, d2 = 0 Dl.O(d1) = 91664757 Dl.O(d2) = 42269000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262497, s2 = 11262500, dlinesl.size( ) = 14 s1 = 11262635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14199052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262715, s2 = 11189584, int(edited[s2]) = 0 s1 = 11262715, s2 = 11189584, d1 = 1, d2 = 11 Dl.O(d1) = 91705909 Dl.O(d2) = 257800383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262715, s2 = 11189584, dlinesl.size( ) = 8 s1 = 11262795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14199066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262865, s2 = 14097120, int(edited[s2]) = 0 s1 = 11262865, s2 = 14097120, d1 = 19, d2 = 8 Dl.O(d1) = 258418291 Dl.O(d2) = 52717455,64617616,77800115,91727821,105935319,91727823,91727822,100987762,86994944,73379593,257601773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262865, s2 = 14097120, dlinesl.size( ) = 28 s1 = 11262933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15693215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263029, s2 = 12500081, int(edited[s2]) = 0 s1 = 11263029, s2 = 12500081, d1 = 13, d2 = 6 Dl.O(d1) = 91799384,91799385,105993998,104667956,95608030,81574082,68084151,258551977,95608029,95608031,81574084,81574081 Dl.O(d2) = 258771228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263029, s2 = 12500081, dlinesl.size( ) = 2 s1 = 11263029, s2 = 12500081, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11263029, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11263059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263059, s2 = 11388842, int(edited[s2]) = 0 s1 = 11263059, s2 = 11388842, d1 = 0, d2 = 8 Dl.O(d1) = 105999022 Dl.O(d2) = 147249897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263059, s2 = 11388842, dlinesl.size( ) = 14 s1 = 11263085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263085, s2 = 14017180, int(edited[s2]) = 0 s1 = 11263085, s2 = 14017180, d1 = 5, d2 = 10 Dl.O(d1) = 91818333,268752256 Dl.O(d2) = 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2682,60436697,73183191,73183393,73183013,60435908,60435907,61994821,52015773,50502909,50502910,61994828,52015710,52015711,52015723,63830840,73183438,60436800,49032784,49032775,39103292,259441719,260291370,271049934,255724647,19779480,26583070,34569997,41999883,41999884,41054194,32259931,24659557,18200432,18200433,12909559,12909558,257723199,75824909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263085, s2 = 14017180, dlinesl.size( ) = 12 s1 = 11263137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263137, s2 = 11095620, int(edited[s2]) = 0 s1 = 11263137, s2 = 11095620, d1 = 5, d2 = 3 Dl.O(d1) = 258730246 Dl.O(d2) = 258106416,42403107,256373758,25646893,22434025,22434026,256141428,19084329,25712104,19102559,19092308,19042544,13593330,9307708,9307707,13593325,19042539,15707201,15707199,18580951,13204404,13204406,18580955,25134718,22436187,22436186,24145793,19147106,19147107,15708071,10874077,10874074,15708043,12297821,12297823,9360116,6130913,6130914,7892559,11814512,16885245,19127926,13657459,9352299,9352300,13657463,19127931,25767685,25617375,19003453,19003454,25617376,33383150,38371188,31699732,24191571,17822403,13564719,13564720,19006246,17601259,12423703,12423704,255053159,7189108,7189110,10873368,15707073,21763197,255601398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263137, s2 = 11095620, dlinesl.size( ) = 2 s1 = 11263137, s2 = 11095620, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11263137, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15592696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263351, s2 = 14099880, int(edited[s2]) = 0 s1 = 11263351, s2 = 14099880, d1 = 1, d2 = 2 Dl.O(d1) = 91902289,106097409,106097412,260295771,106097412,91902293 Dl.O(d2) = 271051715,271051713,91902292,106097410,95073901,81014828,257901667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263351, s2 = 14099880, dlinesl.size( ) = 2 s1 = 11263351, s2 = 14099880, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11263351, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11263355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263355, s2 = 11175196, int(edited[s2]) = 0 s1 = 11263355, s2 = 11175196, d1 = 9, d2 = 0 Dl.O(d1) = 102054852,88069351,88069352,102054854,116112629,116112627,116112626,130022378,143355438,155899108,155899110 Dl.O(d2) = 31480527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263355, s2 = 11175196, dlinesl.size( ) = 2 s1 = 11263355, s2 = 11175196, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11263355, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11263403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263403, s2 = 11164672, int(edited[s2]) = 0 s1 = 11263403, s2 = 11164672, d1 = 7, d2 = 7 Dl.O(d1) = 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Dl.O(d2) = 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46,98156142,84262022,84262020,98156138,112115581,260307256,259063090,77873782,91796215,260120304,258881624,51425721,51425722,63122546,73526317,270880235,115220830,129151656,115220823,115220824,107427391,93018755,78908650,78908649,258405862,72354777,257612355,39448321,30843964,30843963,39448318,258219883,87145363,257809414,64771377,53548652,53548649,53548650,58368964,58368965,71085454,59460698,48070101,38157580,29591360,29591361,38157583,31458525,31458524,40140911,48070115,48070114,57762012,46411099,40144637,40144638,257661433,61655862,61655861,61655860,50169794,40144683,31461246,23965433,17615396,17614099,17614098,23963569,31458526,40140914,40144676,31461243,23965430,17615394,17615393,23965428,31461239,40144672,50169778,61655841,53062126,53062125,59460715,48070111,48070112,59460720,67578501,65044950,60533275,60533276,73277593,86888835,73277667,60533336,49133176,39206287,39206269,39206270,49133142,60533281,73277600,65045008,53062121,42614356,33590400,33590399,42614351,53062116,65045005,78324864,92358353,106662807,120915817,116093002,102036030,88051621,74439767,74439766,259516687,99745545,106114037,258535138,77994921,91919133,106114039,120313915,128816606,120915854,113759688,112674386,98680053,98680056,112674388,99745483,85791801,72198051,72198050,85791798,99745480,99745485,99745484,258412462,78324946,84650256,98573413,258412460,134714491,128816524,128816525,142171219,154805260,260282318,112674430,257205774,71184297,58462323,58462324,71184299,84752887,91663681,77735627,258055502,42267746,42267745,52653665,64553235,58462265,47084181,37188746,28667428,28667429,29591414,29591413,38157642,37188770,28667439,28667438,37188768,37188783,28667450,21421047,21421048,28667452,29600698,29600699,37188790,35213575,27121187,20217807,20217809,22242882,16106471,11187609,254527263,2826504,254352369,7423183,11187595,16106448,21660794,15624552,10810690,7143546,7143545,10810688,9761092,9761093,14199638,19823042,26634698,27121194,20217814,14507931,14507932,20217816,27121180,20217803,14507920,9983067,9983066,6561529,4110636,4110635,6561527,9983065,14507918,20217801,268551951,44594264,44594293,44594270,35213577,27121193,27121192,256755391,33391556,25626461,19011667,19011668,25626465,33391565,42379684,269514105,255676832,65164704,78447604,89376769,89376770,92484916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263403, s2 = 11164672, dlinesl.size( ) = 2 s1 = 11263403, s2 = 11164672, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11263403, Dl.E( ) = 8, 3.41e-05 seconds used appending s1 = 10221448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263507, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11263527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263527, s2 = 11103056, int(edited[s2]) = 0 s1 = 11263527, s2 = 11103056, d1 = 9, d2 = 7 Dl.O(d1) = 91976881,91976883 Dl.O(d2) = 255683715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263527, s2 = 11103056, dlinesl.size( ) = 14 s1 = 11263585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263585, s2 = 11288580, int(edited[s2]) = 0 s1 = 11263585, s2 = 11288580, d1 = 5, d2 = 13 Dl.O(d1) = 103867561 Dl.O(d2) = 257728971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263585, s2 = 11288580, dlinesl.size( ) = 14 s1 = 11263599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263599, s2 = 11116838, int(edited[s2]) = 0 s1 = 11263599, s2 = 11116838, d1 = 12, d2 = 7 Dl.O(d1) = 258433817,33550677,33550678,42567440,53007370,64982059,78255124,258900327,50264236,60079202,48682910,48682909,60079200 Dl.O(d2) = 269992366,73101309,70497316,61742902,50264468,50264469,269369200,31558530,255970504,15933021,11056035,11055775,11055774,15932766,15933202,15932213,15932214,15933047,11056061,7331082,7331081,10775351,7119574,254740465,15577255,255847805,23291694,17031829,11946266,255142295,23291697,17700263,17700262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263599, s2 = 11116838, dlinesl.size( ) = 8 s1 = 11263609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263609, s2 = 11390980, int(edited[s2]) = 0 s1 = 11263609, s2 = 11390980, d1 = 10, d2 = 6 Dl.O(d1) = 259648052 Dl.O(d2) = 146867311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263609, s2 = 11390980, dlinesl.size( ) = 14 s1 = 14597475, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13666169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15100708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3766731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264159, s2 = 10987198, int(edited[s2]) = 0 s1 = 11264159, s2 = 10987198, d1 = 10, d2 = 1 Dl.O(d1) = 92483816,78446423,65163564,257811442,42729397 Dl.O(d2) = 3859699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264159, s2 = 10987198, dlinesl.size( ) = 16 s1 = 11891654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264249, s2 = 14277781, int(edited[s2]) = 0 s1 = 11264249, s2 = 14277781, d1 = 7, d2 = 7 Dl.O(d1) = 92509947,78470207,78470206,89776682,269940833,51335122,257235608,18245226,12942480,8805237 Dl.O(d2) = 92509947,78470207,78470206,89776682,269940833,51335122,257235608,18245226,12942480,8805237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264249, s2 = 14277781, dlinesl.size( ) = 2 s1 = 11264249, s2 = 14277781, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11264249, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11264639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264639, s2 = 14277785, int(edited[s2]) = 0 s1 = 11264639, s2 = 14277785, d1 = 3, d2 = 0 Dl.O(d1) = 258451281,53326632,53326633,53326644,42865150,42865151,53326645,65324670,259079947,107008619,111633533,125436443,138765462,151466845,163350510,174203292,183873421,264147829,210927595,209850604,204489753,263751803,181770204,171794420,262018763,135150509,121300878,259709557,78621606,259079947,107008619,111633533,125436443 Dl.O(d2) = 181770202,171794417,160595205,148323003,135150508,121300878,259709557,78621606,259079947,107008619,111633533,125436443,138765462,151466845,163350510,174203292,262608509,261598603,138765460,151466842,263458677,199647182,205821425,210927593,265150659,223901673,226048550,227919822,265962581,229290435,227595690,225659114,223434926,220865583,217851482,214244258,209850602,204489749,198060192,190513680,181770202,171794417,160595205,148323003,135150508,121300878,259709557,78621606,259079947,107008619,111633533,125436443,138765462,151466845,163350510,174203292,262608509,261598603,138765460,151466842,263458677,199647182,205821425,210927593,265150659,223901673,226048550,227919822,265962581,229290435,227595690,225659114,223434926,220865583,217851482,214244258,209850602,204489749,198060192,190513680,181770202,171794417,160595205,148323003,135150508,121300878,259709557,78621606,259079947,107008619,111633533,125436443,138765462,151466845,163350510,174203292,262608509,261598603,260465921,259245365,70328272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264639, s2 = 14277785, dlinesl.size( ) = 2 s1 = 11264639, s2 = 14277785, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11264639, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 15934800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264763, s2 = 11294448, int(edited[s2]) = 0 s1 = 11264763, s2 = 11294448, d1 = 6, d2 = 27 Dl.O(d1) = 92746872 Dl.O(d2) = 67731308,258537351,259083460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264763, s2 = 11294448, dlinesl.size( ) = 30 s1 = 11265263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265263, s2 = 11408688, int(edited[s2]) = 0 s1 = 11265263, s2 = 11408688, d1 = 9, d2 = 13 Dl.O(d1) = 260938365 Dl.O(d2) = 262989847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265263, s2 = 11408688, dlinesl.size( ) = 14 s1 = 11265281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265281, s2 = 11150672, int(edited[s2]) = 0 s1 = 11265281, s2 = 11150672, d1 = 8, d2 = 10 Dl.O(d1) = 256816902 Dl.O(d2) = 255366160,15459271,10689077,7061427,254734941,6760305,10284898,14950805,10312441,6783216,6783218,10270970,6749669,4241149,4233602,2531277,2531279,4233612,4257777,4257778,6791133,6791149,5942656,3715982,3715986,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249263,6779032,10307533,10307982,6779430,4249527,2540510,1463724,1463725,2540518,4249544,6779452,9095914,9095915,8596427,5585696,4248056,4248054,4249858,4249006,254482585,4445785,2670715,1546887,254225959,254501651,255036887,21459042,25311527,18734771,18734773,25311530,31723234,38337806,38535837,31287499,23800862,23800861,31287498,39962867,38690300,34187934,26651470,26651471,26384923,22788856,16572992,11554040,11554041,11547391,11547390,9758837,9758836,14196091,14096218,14096223,16571147,17846020,16567973,16567974,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161822,5182264,8086746,254826441,17116904,17122300,12032656,8089249,5182638,5182637,8089247,12032649,16042056,17120962,17118697,17118698,23390588,27129882,28623301,21385856,15402457,10645905,7029103,4421754,4421756,7029108,10645912,15402464,18338558,13018000,8863416,256087491,41317800,51539114,63255714,269414434,255595846,256879337,20117303,257311483,67657898,256524420,123632067,260124426,68013009,65211862,258446363,75412830,260780541,262858349,187767639,195730849,202546293,208272730,210722016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265281, s2 = 11150672, dlinesl.size( ) = 12 s1 = 11265451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265451, s2 = 11298880, int(edited[s2]) = 0 s1 = 11265451, s2 = 11298880, d1 = 8, d2 = 9 Dl.O(d1) = 260944043,149163758 Dl.O(d2) = 261599634,145104395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265451, s2 = 11298880, dlinesl.size( ) = 14 s1 = 13574582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11265731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265731, s2 = 11497568, int(edited[s2]) = 0 s1 = 11265731, s2 = 11497568, d1 = 1, d2 = 3 Dl.O(d1) = 260950623 Dl.O(d2) = 172854421,182753572,191405852,198851583,198851585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265731, s2 = 11497568, dlinesl.size( ) = 2 s1 = 11265731, s2 = 11497568, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11265731, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14616634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14616634, s2 = 2064602, int(edited[s2]) = 0 s1 = 14616634, s2 = 2064602, d1 = 0, d2 = 1 Dl.O(d1) = 53694011,65751122,55728302,55728301 Dl.O(d2) = 53881408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14616634, s2 = 2064602, dlinesl.size( ) = 2 s1 = 14616634, s2 = 2064602, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14616634, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 7097976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7097976, s2 = 12669033, int(edited[s2]) = 0 s1 = 7097976, s2 = 12669033, d1 = 169, d2 = 55 Dl.O(d1) = 261521886,261521880,154223708,141562553,128206133,262267861,176623717,186041503,262550314,165980440,261521882,262550312 Dl.O(d2) = 234178540,233057688,233057687,231817823,230439001,228887695,227126914,225109281,222787423,220087680,216891766 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11266181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9468036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13575586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15918927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15918927, s2 = 11892445, int(edited[s2]) = 0 s1 = 15918927, s2 = 11892445, d1 = 7, d2 = 7 Dl.O(d1) = 17765229,12571469,12571470,17765230,15353822,254730223,6998364,6570431,5969200,4415531,4415532,5971780,3734510,2235921,2235923,3734515,5971790,6167474,268030962,9551893,6415016,6415015,9756359,6530215,4091735,2448064,2448063,4091731,6530208,254442492,20137170,24486224,18063006,12806092,8707396,5668608,3526251,254196451,254196449,3526249,5668604,8707387,12806081,254757400,18443139,254232300,22467920,16299797,16299796,22467918,20108255,254232298,254517740,9947442,6537823,6537822,4096161,4096158,6537845,5978635,3738678,3738677,5978632,9136239,6147849,6147848,9384278,13701772,14192286,13369698,10656006,7036643,7036642,6994631,4395801,4395802,6994634,9127744,9127743,13356233,18757161,254621492,14527400,14527399,14419497,14419498,13451980,9199381,9199382,6167475,5969107,267929453,9447814,254976168,15874099,18090860,18751572,15356931,255286027,13738896,18754467,13354000,9126058,5971938,5971937,9126055,13353997,255656177,19186491,25840097,33643346,42672557,53123463,65109204,78392120,92428936,106734730,100776734,100776733,100776763,114828586,122918611,108653550,94365543,80309053,66879633,54621951,43879729,34608928,26620483,26620482,34608926,43879726,54621946,66879630,80309049,94365539,108653541,122918609,136750634,149892526,149892525,162104963,153656015,140989595,127641256,113773206,99759203,85805343 Dl.O(d2) = 17765229,12571469,12571470,17765230,15353822,254730223,6998364,6570431,5969200,4415531,4415532,5971780,3734510,2235921,2235923,3734515,5971790,6167474,268030962,9551893,6415016,6415015,9756359,6530215,4091735,2448064,2448063,4091731,6530208,254442492,20137170,24486224,18063006,12806092,8707396,5668608,3526251,254196451,254196449,3526249,5668604,8707387,12806081,254757400,18443139,254232300,22467920,16299797,16299796,22467918,20108255,254232298,254517740,9947442,6537823,6537822,4096161,4096158,6537845,5978635,3738678,3738677,5978632,9136239,6147849,6147848,9384278,13701772,14192286,13369698,10656006,7036643,7036642,6994631,4395801,4395802,6994634,9127744,9127743,13356233,18757161,254621492,14527400,14527399,14419497,14419498,13451980,9199381,9199382,6167475,5969107,267929453,9447814,254976168,15874099,18090860,18751572,15356931,255286027,13738896,18754467,13354000,9126058,5971938,5971937,9126055,13353997,255656177,19186491,25840097,33643346,42672557,53123463,65109204,78392120,92428936,106734730,100776734,100776733,100776763,114828586,122918611,108653550,94365543,80309053,66879633,54621951,43879729,34608928,26620483,26620482,34608926,43879726,54621946,66879630,80309049,94365539,108653541,122918609,136750634,149892526,149892525,162104963,153656015,140989595,127641256,113773206,99759203,85805343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15918927, s2 = 11892445, dlinesl.size( ) = 2 s1 = 15918927, s2 = 11892445, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15918927, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11892446, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11266671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11266671, s2 = 7396581, int(edited[s2]) = 0 s1 = 11266671, s2 = 7396581, d1 = 26, d2 = 30 Dl.O(d1) = 260378421,263014349 Dl.O(d2) = 266225296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266671, s2 = 7396581, dlinesl.size( ) = 42 s1 = 11266787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11266947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11266947, s2 = 11171842, int(edited[s2]) = 0 s1 = 11266947, s2 = 11171842, d1 = 19, d2 = 16 Dl.O(d1) = 255731912,27220944,20292443,14561585,10020084,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011287,6011290,9184397,12773016,8682172,8682171,12773010,13921668,10036792,10036790,14586579,19034317,13586714,9303155,9303156,13586722,19034331,25653211,26120958,22725190,16519941,11513034,11513033,10263749,6744371,4226062,4226061,6744368,7127917,7127916,10788436,10790135,7128863,7128862,9474048,9474046,13814601,10790111,10790110,15030630,15030628,18696251,15002429,10332734,6800799,6800801,10053192,7938953,7129975,4488644,4488647,7129985,10791909,15205519,15205518,19142803,20802549,20861687,20861686,20972310,20959286,15050107,15050109,11491373,7642953,4835200,4835197,7642935,11491340,15598794,10790902,10790900,13320840,13320841,18714154,13814974,13814975,19320010,23919278,27986272,27986271,27973945,22725644,254324070,7658897,7658900,10354696,15026870,11612353,11612352,8584896,6603448,6603447,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,6836794,6836796,10375566,12338350,12209403,12209401,15589145,16213308,16213306,14406321,14406323,15249791,10520390,10520389,15249787,16211605,14944323,14944324,12670895,12331786,10375835,10375836,15049072,20958022,20826447,14928102,14928103,14991749,17266983,17528237,254218242,254481854,55737620,255360986 Dl.O(d2) = 256810676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266947, s2 = 11171842, dlinesl.size( ) = 20 s1 = 11267073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267073, s2 = 14376069, int(edited[s2]) = 0 s1 = 11267073, s2 = 14376069, d1 = 9, d2 = 11 Dl.O(d1) = 94765826,80691239,255772556 Dl.O(d2) = 4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805697,14269044,19922236,26501634,19909487,14261366,14261363,19909517,26751167,34782016,38723612,48643544,60038839,72777052,86373434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267073, s2 = 14376069, dlinesl.size( ) = 12 s1 = 11267605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11267775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267775, s2 = 11507356, int(edited[s2]) = 0 s1 = 11267775, s2 = 11507356, d1 = 6, d2 = 10 Dl.O(d1) = 260993001,262086201 Dl.O(d2) = 263801465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267775, s2 = 11507356, dlinesl.size( ) = 12 s1 = 11267901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267901, s2 = 11396996, int(edited[s2]) = 0 s1 = 11267901, s2 = 11396996, d1 = 10, d2 = 12 Dl.O(d1) = 259292178 Dl.O(d2) = 261643628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267901, s2 = 11396996, dlinesl.size( ) = 14 s1 = 11268067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268067, s2 = 11096182, int(edited[s2]) = 0 s1 = 11268067, s2 = 11096182, d1 = 3, d2 = 12 Dl.O(d1) = 95234895 Dl.O(d2) = 258667704,27065988,35142547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268067, s2 = 11096182, dlinesl.size( ) = 8 s1 = 14199320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13577952, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11268569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268569, s2 = 10415082, int(edited[s2]) = 0 s1 = 11268569, s2 = 10415082, d1 = 1, d2 = 1 Dl.O(d1) = 33489975,33489976,42485872,52892303,61977240,257831868,58285639,64813384,78006970,91928592,106120989,95531006,81495532,68011971,55624498,44726087,35306445,35306447,39936677,31261622,31261623,30744189,23776621,18391655,13063603,13063600,18391648,24812424,18323280,18323281,24812428,31261726,23776613,17446874,12298352,12298349,10002848,6573446,6573447,10002864,12298346,12295964,8304651,8304652,12295969,17443433,23772248,23836332,17496857,17496858,23772212,20263610,14538604,14538603,15046075,16080100,17443509,17443476,12296012,12296010,14489806,20194609,22218413,16086704,15140162,15140163,21077461,23771591,23771592,31256144,39931127,35347504,27224481,27224483,28492886,36841257,28344380,28344379,23755841,17429247,12284730,12284729,13291173,18684102,256111047,41917883,49953388,49934258,44592694,35211970,35211971,44592695,55442943 Dl.O(d2) = 33489975,33489976,42485872,52892303,61977240,257831868,58285639,64813384,78006970,91928592,106120989,95531006,81495532,68011971,55624498,44726087,35306445,35306447,39936677,31261622,31261623,30744189,23776621,18391655,13063603,13063600,18391648,24812424,18323280,18323281,24812428,31261726,23776613,17446874,12298352,12298349,10002848,6573446,6573447,10002864,12298346,12295964,8304651,8304652,12295969,17443433,23772248,23836332,17496857,17496858,23772212,20263610,14538604,14538603,15046075,16080100,17443509,17443476,12296012,12296010,14489806,20194609,22218413,16086704,15140162,15140163,21077461,23771591,23771592,31256144,39931127,35347504,27224481,27224483,28492886,36841257,28344380,28344379,23755841,17429247,12284730,12284729,13291173,18684102,256111047,41917883,49953388,49934258,44592694,35211970,35211971,44592695,55442943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268569, s2 = 10415082, dlinesl.size( ) = 2 s1 = 11268569, s2 = 10415082, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11268569, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10415081, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11268701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268701, s2 = 10626952, int(edited[s2]) = 0 s1 = 11268701, s2 = 10626952, d1 = 11, d2 = 14 Dl.O(d1) = 95592317,95592316 Dl.O(d2) = 44758391,35330333,27205003,25969684,19303092,19303093,25969685,254975314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268701, s2 = 10626952, dlinesl.size( ) = 20 s1 = 15118946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15118946, s2 = 9465928, int(edited[s2]) = 0 s1 = 15118946, s2 = 9465928, d1 = 22, d2 = 30 Dl.O(d1) = 35343076,35343078,44767595,35341379,27218181,20289774,14559474,10018682 Dl.O(d2) = 109808921,95605694,95605693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15118946, s2 = 9465928, dlinesl.size( ) = 28 s1 = 6437437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6437437, s2 = 10262926, int(edited[s2]) = 0 s1 = 6437437, s2 = 10262926, d1 = 31, d2 = 56 Dl.O(d1) = 254400001,1934900,1934899,3290248,5353449,8298432,12287760,15652233,15652232 Dl.O(d2) = 212637869,208060210,202286717,195419458,187387783,178158943,178158944,187387786,262809914,208060213,212820329,263623788,208060202,207850470,207850469,208060240,202286739,195419477,195419476,202286736,263972058,219937807,219937725,219937726,219795937,216550910,216550911,216711866,212820283,212820280,216550862,263972042,212820290,208060223,208060222,212820339,216711918,216711937,212820360,212820359,216711935,219937769,219937768,264812856,222659705,219937783,216711916,216711915,264562070,274147232,272379372,92375313,258706146,31251160,23995949,255959562,21421331,21421332,20934697,16062369,16062373,22190079,17488095,14473141,9958146,9958145,14473137,20172287,17333619,16831665,16831664,16831902,20168635,14470205,9956018,6543520,6543521,9956023,14470216,14474321,9958923,9958921,14474269,14474237,14474174,9958823,6545281,6545280,9958818,14474162,20161714,20949436,20949437,28127314,28127342,36601009,42911042,44519197,35142718,255939217,16588824,11568633,11568632,255496503,26959249,21784139,15725229,10888676,7200508,7200507,6926239,6926237,255020955,7700135,7700136,11568639,14383413,14383414,20065371,255740649,20060922,256740275,55250289,67591830,81059431,95085738,259520182,44362885,49884115,40313625,31625195,24119732,24119733,31625198,34644953,34644952,31236588,23753387,23753388,257480495 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268845, s2 = 11396364, int(edited[s2]) = 0 s1 = 11268845, s2 = 11396364, d1 = 16, d2 = 11 Dl.O(d1) = 271670011,104798657,90628078,76762447,74907559,62104037,50605394,50605393,62104035,74907557,75978182,75978183,81036821,81036816,81036817,89756924,89756919,75978175,62995499,51316467,255225636,75978173,89756918,81036820,67568238,55225295,44374572,256212631,26915092,34996418,44374576,44374574,42715316,33685219,33685220,256570548,65149325,65149324,78431289,92467516,100506286,86544140,72944322,60204440,48807335,257695534,11635492,11635491,16670162,16239215,11289870,7495704,7495703,8829001,11635341,7751418,4909067,4909068,7751423,11635347,13427405,9180506,9180505,7752004,6523668,4087513,2445416,1413945,254445238,2426117,1403419,798682,798683,1403421,2426119,267735900,6023366,5957050,4054801,2427027,2427028,3766475,6020742,254145562,254204838,3662509,2191489,2191490,3662513,5866381,8985721,5866327,3662777,3662776,5866817,8982720,5864462,5864461,8982714,13177788,8986209,5866715,5866713,5865768,4018872,2408182,1393469,792437,792438,1393472,2408189,4018888,5866761,3662734,3662735,3662572,2191517,2191516,3662567,5866474,6405710,6405709,6405683,6405684,9713263,8986193,5866706,3662702,2191584,2191582,3662696,5866692,8985709,6390323,6390319,9713226,13199374,8997967,8997968,13199376,18552790,13326313,13202051,13202052,18575773,13200897,13200898,18575775,18558904,13187672,8989880,8989881,13187675,18558908,254313006,25461573,18861374,13438359,9187614,6013196,6013197,9187616,13438361,18861376,18871684,13447802,13192288,13192289,14337839,14337838,18237713,18237714,13447897,267857768,22157878,16036685,11134902,7385672,4665912,4665913,7385677,7385671,7385670,4666075,2811089,1630811,1630808,2811080,4666059,7385938,10243150,6730441,4216900,2521198,1452877,1452878,2521199,4216902,6730447,8340278,12344983,12345005,8340293,5383256,5383255,8340289,6730517,4216946,2521218,2521216,4216939,6730505,10243261,14896915,13422917,13422916,18839886,24053429,24053430,25442298,25442299,23815692,23815693,17698098,12517650,12517651,17698100,24052013,19194171,13708501,9751846,7265318,4581751,4581750,4701581,7440842,9385141,9385140,9752018,9385122,9385121,6408016,6408019,9745242,9743249,9743248,7534152,6407372,6407371,9385118,6148467,6148466,6408898,6408899,9746665,14177709,19793321,26599493,22285894,22285893,26594818,26594819,19799582,19799581,16299818,11341415,11341414,16299815,22467945,16300631,11342158,11342156,16300891,21655581,21655583,255877134,19796389,16130963,11205661,7435297,7435300,8403325,8403326,12433847,8949310,6407568,4019927,2408839,2408838,1393891,1393893,2408856,4019963,6407615,9744620,14174569,19788989,14176853,9746092,6408511,6408512,6410451,6599490,6599489,10042355,12745068,8661230,5634165,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881 Dl.O(d2) = 4988760,3013230,1750263,1750259,3013199,4988674,7860167,11773116,16835529,23089607,30503793,256436802,41476558,43314694,36657383,36657384,46524960,43314850,34217121,26343620,268163297,14055910,19614863,26343612,34217103,36860606,36860605,40074388,31392877,23898629,19614918,14055953,9665318,6355681,254676691,14055947,19614922,256185927,43314966,46525002,257418289,43314942,34217389,26343829,255811342,26343690,34217213,39857443,39857444,46524981,36657400,36657399,46524979,43314917,37475784,28934262,255417789,10808440,10808441,255417791,19124785,255685137,33553999,42262699,42262700,43288550,43288549,53813579,65881553,258028054,136163753,272757763,198856815,205162116,265662403,226194609,224061531,224061532,265636400,274040888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268845, s2 = 11396364, dlinesl.size( ) = 8 s1 = 11268951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14045067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14045067, s2 = 11269158, int(edited[s2]) = 0 s1 = 14045067, s2 = 11269158, d1 = 1, d2 = 1 Dl.O(d1) = 14810158,14810163,20533999,20533996,27558531,35817624,45421498,56520265,69059762,257671749,40278383,40278384,50298828,256541195,24090715,24090714,31594121,40278462,31594159,31594158,40278509,40278396,31594101,31594102,40278430,50298851,50298852,50298814,40278370,31594060,31594059,36340995,27909142,20765083,20765084,27909143,36340996,40278403,50298849,61778318,74561730,70121211,70121212,57650808,46306029,36453167,27994690,27994691,35643943,35643942,45165112,268906896,27447187,27447186,35643946,45165116,40278413,40278412,46157353,40278485,40278453,31594116,31594115,36453164,27994689,27994688,36453161,257385199,50298900,40278444,31594110,27994661,20830401,14932064,10268912,10268913,14932068,20830410,27994674,36453144,46306079,57650842,57460486,46306033,46306031,57650811,258349099,51434860,256596417,32411435,32411428,28781051,21517905,21517907,28781059,37316783,36992531,36992530,36992528,36992529,46871209,58238838,70955618,71560858,71560857,63132662,63132664,71356030,71356032,72929209,70955599,58238794,52692297,52692296,52325329,52325330,57992369,57992370,48793063,48793062,46955167,37074991,28571866,28571865,37074988,46955165,58322282,70955602,76150099,84519023,86527590,77324988,64176732,60189804,257057180,80285177,66855743,66855632,54596873,54596872,66855631,67560547,67560549,70894973,66855706,66855707,257284593,43852636,53145233,42694765,256385998,65130146,74794534,66855696,258502161,66855608,54596854,54596853,43852479,34580880,34580878,43852477,54596864,257318946,54597106,66855780,80285167,84109529,70572961,70572962,59372807,59372808,72105343,61998153,61998154,74794538,78411742,66855615,257508420,43852465,53145230,61998150,50506640,40471196,40471197,50506643,54596915,43852606,43852608,54596987,61998174,61998115,61998116,257683732,66855604,54596849,53017447,42577271,42577272,53017451,54596813,43852450,43852451,54596837,46939571,46939572,44365962,44365961,43852438,43852437,34581004,34581005,43852667,46515541,57871525,47982823,38070705,38070706,47982828,46515518,36648241,28172656,28172655,36648238,46515513,37060871,28559842,28559841,25857912,19200650,19200651,25771186,20991695,15078104,15078105,20991698,26907377,26907378,34987983,269172649,54596989,49042613,49042614,57871518,64992506,54597006,43852622,34580976,34580977,43852625,54597011,47982883,43852657,34580999,34580998,43852655,36648261,36648260,46515545,57871528,59372801,53017457,42577277,42577275,50491155,42694758,42694757,43852612,43852613,42694772,42694773,42694760,37060874,28559846,21333688,21333689,28172672,28172673,36648268,46515555,57871544,59372798,47982814,47982813,57871492,65130130,70387748,57871534,57871535,58305833,46939648,37060923,28559877,21333705,21333704,28559873,37060914,256227700,268911500,58381760,47010652,37123674,37123673,47010647,58381751,61983008,61983009,73192767,61998120,50506613,50506612,40471180,31776470,31776469,40471176,46515528,57871508,70572953,60262758,60262757,72998222,86595893,86595892,84585131,71021024,58305764,58305765,71021025,72997160,86594853,87865080,80363017,66937467,66937468,58305747,58305748,60779289,73527324,71098283,71098284,71098273,58381749,47010645,47010644,58381745,71098269,84661109,82142639,68617014,60261608,60261609,72997194,72997255,71020983,58305708,58305709,50491094,50491095,61983047,60261539,48868624,48868623,48870020,60262775,65183818,53198896,53198897,65183821,72998215,84585044,71020935,58305663,58305662,60261569,60261567,72997163,86594856,78467824,65183824,65183823,66937460,270634787,86594869,72997210,60261632,48868728,48868727,60261629,72997207,86594884,98510090,98510091,99492262,86594900,72997230,60261644,60261645,258650686,257415894,29607128,29607129,256936791,42750084,33720916,25914187,268505177,30362965,38949029,48868699,60261603,72997192,79249412,66864373,66864372,80293858,94350497,86594897,72997222,60261640,60261641,72997223,81297134,71957517,59219095,59219096,257576834,60261666,48868759,48868758,60261663,60446407,49042680,39113001,39113002,33720923,25914190,25914189,33720921,30362969,22961507,16725431,16725432,22961511,30362973,30362941,22961489,22961488,30362938,38948987,48868656,55441185,59219108,48868628,48868627,49042675,39112998,30515772,23099802,16843525,16843524,23099800,30515768,37741915,30554321,29181081,29181082,37741904,42515264,33515329,25735893,19103077,13639118,13639117,19103072,25735889,33515321,38173956,34583230,26596078,19790457,19790456,23099794,30515731,23099776,16843506,16843505,23099773,30515727,28584958,21354585,21354586,28584962,255085198,22256848,22256849,23084048,16831247,11770027,11770028,9751366,6411697,254312893,1394480,254115861,252684,252686,449071,792716,792718,1393873,2408807,4019840,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394151,2409379,4020940,6409274,9747222,8661218,5634162,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,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Dl.O(d2) = 14810158,14810163,20533999,20533996,27558531,35817624,45421498,56520265,69059762,257671749,40278383,40278384,50298828,256541195,24090715,24090714,31594121,40278462,31594159,31594158,40278509,40278396,31594101,31594102,40278430,50298851,50298852,50298814,40278370,31594060,31594059,36340995,27909142,20765083,20765084,27909143,36340996,40278403,50298849,61778318,74561730,70121211,70121212,57650808,46306029,36453167,27994690,27994691,35643943,35643942,45165112,268906896,27447187,27447186,35643946,45165116,40278413,40278412,46157353,40278485,40278453,31594116,31594115,36453164,27994689,27994688,36453161,257385199,50298900,40278444,31594110,27994661,20830401,14932064,10268912,10268913,14932068,20830410,27994674,36453144,46306079,57650842,57460486,46306033,46306031,57650811,258349099,51434860,256596417,32411435,32411428,28781051,21517905,21517907,28781059,37316783,36992531,36992530,36992528,36992529,46871209,58238838,70955618,71560858,71560857,63132662,63132664,71356030,71356032,72929209,70955599,58238794,52692297,52692296,52325329,52325330,57992369,57992370,48793063,48793062,46955167,37074991,28571866,28571865,37074988,46955165,58322282,70955602,76150099,84519023,86527590,77324988,64176732,60189804,257057180,80285177,66855743,66855632,54596873,54596872,66855631,67560547,67560549,70894973,66855706,66855707,257284593,43852636,53145233,42694765,256385998,65130146,74794534,66855696,258502161,66855608,54596854,54596853,43852479,34580880,34580878,43852477,54596864,257318946,54597106,66855780,80285167,84109529,70572961,70572962,59372807,59372808,72105343,61998153,61998154,74794538,78411742,66855615,257508420,43852465,53145230,61998150,50506640,40471196,40471197,50506643,54596915,43852606,43852608,54596987,61998174,61998115,61998116,257683732,66855604,54596849,53017447,42577271,42577272,53017451,54596813,43852450,43852451,54596837,46939571,46939572,44365962,44365961,43852438,43852437,34581004,34581005,43852667,46515541,57871525,47982823,38070705,38070706,47982828,46515518,36648241,28172656,28172655,36648238,46515513,37060871,28559842,28559841,25857912,19200650,19200651,25771186,20991695,15078104,15078105,20991698,26907377,26907378,34987983,269172649,54596989,49042613,49042614,57871518,64992506,54597006,43852622,34580976,34580977,43852625,54597011,47982883,43852657,34580999,34580998,43852655,36648261,36648260,46515545,57871528,59372801,53017457,42577277,42577275,50491155,42694758,42694757,43852612,43852613,42694772,42694773,42694760,37060874,28559846,21333688,21333689,28172672,28172673,36648268,46515555,57871544,59372798,47982814,47982813,57871492,65130130,70387748,57871534,57871535,58305833,46939648,37060923,28559877,21333705,21333704,28559873,37060914,256227700,268911500,58381760,47010652,37123674,37123673,47010647,58381751,61983008,61983009,73192767,61998120,50506613,50506612,40471180,31776470,31776469,40471176,46515528,57871508,70572953,60262758,60262757,72998222,86595893,86595892,84585131,71021024,58305764,58305765,71021025,72997160,86594853,87865080,80363017,66937467,66937468,58305747,58305748,60779289,73527324,71098283,71098284,71098273,58381749,47010645,47010644,58381745,71098269,84661109,82142639,68617014,60261608,60261609,72997194,72997255,71020983,58305708,58305709,50491094,50491095,61983047,60261539,48868624,48868623,48870020,60262775,65183818,53198896,53198897,65183821,72998215,84585044,71020935,58305663,58305662,60261569,60261567,72997163,86594856,78467824,65183824,65183823,66937460,270634787,86594869,72997210,60261632,48868728,48868727,60261629,72997207,86594884,98510090,98510091,99492262,86594900,72997230,60261644,60261645,258650686,257415894,29607128,29607129,256936791,42750084,33720916,25914187,268505177,30362965,38949029,48868699,60261603,72997192,79249412,66864373,66864372,80293858,94350497,86594897,72997222,60261640,60261641,72997223,81297134,71957517,59219095,59219096,257576834,60261666,48868759,48868758,60261663,60446407,49042680,39113001,39113002,33720923,25914190,25914189,33720921,30362969,22961507,16725431,16725432,22961511,30362973,30362941,22961489,22961488,30362938,38948987,48868656,55441185,59219108,48868628,48868627,49042675,39112998,30515772,23099802,16843525,16843524,23099800,30515768,37741915,30554321,29181081,29181082,37741904,42515264,33515329,25735893,19103077,13639118,13639117,19103072,25735889,33515321,38173956,34583230,26596078,19790457,19790456,23099794,30515731,23099776,16843506,16843505,23099773,30515727,28584958,21354585,21354586,28584962,255085198,22256848,22256849,23084048,16831247,11770027,11770028,9751366,6411697,254312893,1394480,254115861,252684,252686,449071,792716,792718,1393873,2408807,4019840,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394151,2409379,4020940,6409274,9747222,8661218,5634162,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177331,14177327,16142048,14172986,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,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37121,183001757,185191512,193505950,191797384,183209052,173385947,162324591,150185541,137125793,123375616,109167848,109167846,122418546,136391795,149648564,147558672,137105765,123354779,109146697,94881069,94881068,109146694,123354773,137105762,150167952,162324589,273291421,161939062,149648561,136391789,122418543,122418544,136391791,149648562,261978124,182968161,191599885,199019137,205293080,210485584,214728250,218219607,221152335,223663068,225838645,225892657,223723835,221220437,218297783,214820387,210596306,205427130,199180347,191795102,183206080,273052943,261544843,260388877,259147289,80806636,94871950,109137381,95052393,80993211,80993212,95052395,270704412,137230895,259823590,109307752,95052398,80993216,67523664,270656399,109307755,123149909,136941865,259825312,101295234,87301002,259823588,257947208,80993209,95052391,109307748,123499635,122458956,108057364,93642838,79515267,79462820,79462819,93596318,79512290,79512057,259116603,270732654,87541861,101505134,108055394,108431788,94099548,94099540,80015171,80015172,94099541,80590396,79674350,79674352,93781443,94648517,94648518,108917903,260979075,150045800,142642777,129282503,115364274,115364273,129282500,142642773,155270869,166949363,273074346,174146869,163295856,151415783,151415782,163295854,174146867,183186520,173358601,162291275,150127447,137057406,268857094,94814223,94814222,108917876,108917875,123151250,136942748,150045778,136942772,136942774,150045796,150185539,162339039,173396791,183216733,191802582,199185695,205297111,199025234,191608927,182981624,173107075,161970290,161970291,173107077,182981629,262113334,161979540,149715352,136495663,136495662,149715349,150045793,162232599,173313996,183151484,273673361,199355010,191993090,183435077,173645127,162619853,150496247,137461425,123733938,109542130,95287331,81229464,67763280,258539759,95287327,109542128,123733936,137461424,149681034,136440888,258597134,93694074,79574521,257366414,108097077,122488705,136440886,149681032,149760675,136633033,122764136,122764135,136633030,149803629,162036157,173148973,178688702,168364895,156902938,261353997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14045067, s2 = 11269158, dlinesl.size( ) = 2 s1 = 14045067, s2 = 11269158, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14045067, Dl.E( ) = 2, 1.1e-05 seconds used appending s1 = 13690783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269537, s2 = 11070654, int(edited[s2]) = 0 s1 = 11269537, s2 = 11070654, d1 = 12, d2 = 11 Dl.O(d1) = 97721216,83862571,70337418 Dl.O(d2) = 85530113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269537, s2 = 11070654, dlinesl.size( ) = 20 s1 = 14642792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269637, s2 = 11118678, int(edited[s2]) = 0 s1 = 11269637, s2 = 11118678, d1 = 47, d2 = 34 Dl.O(d1) = 111659799,125462655,138791745,151493225,138791752,125462660,111659802,111659801,125462658,138791750,151493234,163376668,165397334,165397348,261713973,127601022,127601021,140950263,140950261,263145595,153616882,262275860,127601039,140950295,153616894,153616857 Dl.O(d2) = 113732349,259370967,259370969,85763887,99717937,113732354,127601024,127601012,113732346,99717933,85763885,72169694,59431193,48039141,38125929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269637, s2 = 11118678, dlinesl.size( ) = 26 s1 = 11269751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269751, s2 = 11524236, int(edited[s2]) = 0 s1 = 11269751, s2 = 11524236, d1 = 48, d2 = 56 Dl.O(d1) = 258623169,257388465 Dl.O(d2) = 265732672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269751, s2 = 11524236, dlinesl.size( ) = 74 s1 = 11269855, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11269989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269989, s2 = 14312697, int(edited[s2]) = 0 s1 = 11269989, s2 = 14312697, d1 = 7, d2 = 0 Dl.O(d1) = 258627517 Dl.O(d2) = 10320473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269989, s2 = 14312697, dlinesl.size( ) = 14 s1 = 11270219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270219, s2 = 11126716, int(edited[s2]) = 0 s1 = 11270219, s2 = 11126716, d1 = 9, d2 = 10 Dl.O(d1) = 97893141 Dl.O(d2) = 57788263,57788264,70488987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270219, s2 = 11126716, dlinesl.size( ) = 12 s1 = 13580003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11270551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270551, s2 = 14323705, int(edited[s2]) = 0 s1 = 11270551, s2 = 14323705, d1 = 11, d2 = 12 Dl.O(d1) = 97950641,84076772,70539802,70539803,60746304,49343191,39413614,255981730 Dl.O(d2) = 66926425,54669938,43927519,43927518,47800463,47800464,47174033,37267999,36803070,256372947,21980536,21980535,29307943,37876601,255565208,71939547,61531157,61531156,72685443,59946698,48554585,47800480,47800415,47800416,59200216,61540025,50061862,50061861,61540023,61540019,59946687,48554555,38639770,255117814,47800479,255500452,30065203,22687025,22687024,30065201,38639785,48554573,46699631,46699632,47800467,255565204,41736592,48554582,59946697,72685439,61530396,50050935,50050256,50050257,61522638,59117687,47720318,44550761,44550762,40031738,31351498,23857999,23858000,23857998,23857997,31351494,40031735,46692593,46692594,52037027,47720320,37799661,32801788,32801757,25100142,25100141,18551787,18551788,25100159,24047870,24047869,25100133,25100132,32801748,41721712,38015422,29453230,29453231,29690944,22338365,16190660,11254533,254530663,2844563,1650286,938520,529009,529010,529037,296452,164002,164001,296448,529033,938547,529433,529434,939192,940247,1650280,938516,529007,296430,254100243,529351,529352,939057,1649884,938191,254166647,1651350,2846238,2850479,2849361,2849362,2846307,1651402,940175,530070,297081,297080,164720,90620,49885,49886,49887,90623,164726,297491,529521,529520,938551,938193,267744603,296241,528743,297488,164709,90612,49881,27898,27897,49879,254078789,297502,530592,940889,1650303,938531,938176,938175,938522,529013,529012,267739881,164000,90137,90138,49658,27769,27767,27771,49663,90269,164201,296761,297010,297564,164758,164759,297565,530613,528559,297017,164366,90392,90393,164368,90655,49909,27910,15838,15837,27908,49904,90648,163865,164194,296749,254078753,49756,27828,15789,8887,4835,4834,8884,15777,254072137,90340,254100331,939604,1651998,2847264,4725618,7477267,11263333,16202682,22354047,29709322,38276055,29709349,29709348,38276095,39730306,31051700,31051697,39730302,39524552,30914107,23477331,17194923,12091055,8131111,5209438,3178276,3178277,5209441,8131117,12091065,17194935,23477355,30914144,39524598,38584336,38584329,30012211,22640660,255105429,11462297,16451285,22640663,25959774,25959773,30461486,23053540,23053541,30461487,31908436,24376907,17978418,12741124,8658377,7034463,4425699,4425698,5218393,8146106,5218395,5218396,8146113,12115380,17234236,23542684,31024016,39701060,42401696,39701143,31024085,31024084,39264767,30669031,23253635,16990813,16990812,23253631,256375289,255442745,7303429,4607879,4607880,7303432,11029086,15907792,22009239,29341059,37910063,33429345,33429344,31023380,23542176,17233878,17233879,257043318,16625009,11596471,11596473,16625012,11596489,7719478,4885994,2944174,1707337,970479,546556,306099,306101,546564,970498,1707370,2944222,4886082,7719637,11596682,16625338,22109558,15997842,11106095,11106096,255074661,22109549,29443191,38006085,41577474,37579027,29031783,29031781,29604736,29604737,32136225,24554805,18117532,12846962,8736337,8736336,12846959,16888907,23149582,23149600,23149601,29385985,22055954,22055955,18070064,18070065,24496913,18990447,18489493,18489494,24059095,31564816,40252317,50273658,47484535,39235443,30637492,29443088,24490180,18066062,12808259,12808260,11106107,11106106,15997859,22109585,29443237,38006149,38503159,29939525,22576538,22576526,22576509,16393520,16393521,22576514,29939485,38503101,29939503,29939504,24554792,23149570,16888898,16888900,11817700,7895848,7895849,11817702,16888918,23149606,25094585,32068268,24496908,22912587,16679757,16679756,13135727,8952458,8952459,13135731,18489506,25019685,32703693,37579011,29031774,21740499,21740498,29031771,37579006,36519250,32703675,32047484,30566904,29939543,22576547,16393536,11409718,7581728,7581727,11409714,16393528,22576531,29939514,32056864,24490171,24490172,29443201,38006103,40913994,51055854,60498128,49094593,39164608,30566951,23149594,23149595,23149602,30566956,39164652,38898830,30312516,30312518,25019672,268480869,41607146,51907401,47484522,37579001,29031768,29031769,37579003,37579008,47484529,39164595,30566908,30566907,38503171,29939534,29939535,38503168,40836834,44530437,257707063,72529149,72529148,258658560,85177723,259953659,85549884,71962137,71962136,259356311,71962077,59223924,59223922,270661282,67716342,55376635,256750630,35154257,44530441,47826003,47826035,48408995,38503120,38503121,257540527,63714286,76815292,72265424,59531289,48143814,48143815,59531292,72265431,84495059,70930837,58213566,46845536,36966702,28468078,28468079,36966706,46845541,38503114,29939494,22576519,22576520,29939496,38503115,48408988,59793851,57631707,46287045,46287046,57631711,58180287,70894232,84451060,83848256,258390612,38465361,38465363,48366819,47495777,47495778,47826007,37904375,37904376,47826009,59223931,258731123,85857126,85857127,84495057,70930836,70930835,256631718,71596617,85162183,257775914,113508403,99496840,85549890,71962142,59223997,269101416,36934987,36934988,46813227,58180290,258390618,71962103,59223955,47826024,37904384,37904385,29335608,29335609,37904393,47826031,59223928,59223929,71962083,85549808,84451051,70894222,269307835,46813216,58180276,70894225,70930833,58213564,58213563,59223949,59223948,258103046,91849700,86081146,72483823,59749452,48366833,38465376,29908009,22551623,22551622,29908003,38465367,46813223,58180285,57631717,46287050,46287051,57631719,47769121,268628365,21954705,21954706,29279083,37846407,47769124,59167770,71905847,59167758,59041200,47639312,47639311,59041198,71782931,84495056,77874545,64684959,64684958,70930820,67546249,55202484,44351966,44351965,55202479,48366846,48366845,59749465,59749441,256370750,86081145,97707648,83848259,70930828,59749494,255439426,49981304,49981305,61459374,52818940,42417451,33426776,33426775,42417448,48366868,38465399,255917865,16374971,11396249,11396250,16374973,22551631,29908024,38465409,48366880,59749506,59749507,65967471,65967472,59749463,48366843,256415049,29908014,38465387,48366853,59749477,61583432,74360009,87962237,84032778,84032779,97902548,100043735,86081168,72483862,59749502,59749501,62998843,51319909,51319908,51907407,51907405,63714295,63714291,63714290,61546913,59749504,48366876,48366875,52667555,42280189,42280190,52667558,51319777,51319776,55202492,67546251,77975464,64780863,58213559,46845531,36966697,255819901,15280635,10546650,10546649,15280633,21246751,28468070,269869362,59894371,51319775,41136128,256078971,24707687,18236422,18236423,24707732,32322421,41136247,257728729,58213555,46845525,256590433,255621939,12935432,8800052,5732270,5732268,8800051,12935430,18236421,24707729,32322416,33464148,42457275,52861281,64780868,72636463,62998838,51319905,51319866,47921485,47921484,257142493,256590427,32322406,41136229,51319824,41136170,38585510,38585509,48500348,59894359,51319813,41136157,41136156,41136162,41136163,51319818,62998769,51319857,41136197,32322384,24707709,24707710,32322387,269040741,41136168,41136167,41136239,257142491,51319864,62998812,269801777,59167831,59167830,51319896,41136231,32322408,24707723,18236419,18236418,24707720,32322404,41136223,51319888,51319807,41136152,41136153,50103474,40082912,31402266,31402267,40082914,50103477,61235772,49756723,39737860,39737859,32322389,32322356,24707695,24707694,18236417,18236415,268250086,41136210,51319811,47769224,47769225,47769230,59167835,47769216,47769217,59167837,71905902,62998790,51319839,41136183,41136184,51319842,58545157,47156789,47156788,58545154,71276754,84850690,71276763,58545170,256913046,61658621,61658622,74442608,84850711,74016397,61235768,61235769,51319924,41136251,41136252,51319926,257472110,58545181,71276775,72204569,62998829,62998828,62427837,50844059,47769227,37846487,255875467,21954734,29279140,256913039,256913045,256913043,58545165,47156794,37251941,28721074,28721073,37251938,47156792,58545162,61658606,61658605,62998853,62998852,75981551,89760285,84850705,71276786,257449867,47156820,58545194,59167842,258103057,259351983,258200230,86786315,86786316,257591934,113538695,103863908,100767294,86786307,73173586,60426696,49023068,49023069,268422852,73173590,73173605,64179395,58171783,46804353,46804352,47860673,37941595,29375842,22045070,22045069,29375838,37941591,257468438,70410258,83936469,86054491,72455911,59719761,48334726,38429956,29868778,22509414,16335801,16335802,22509420,29868786,38429969,48334739,59719779,72455935,77327381,71993693,71993694,85580455,257591938,256466478,60426707,49023075,39094151,39094150,49023072,60426703,73173594,86786314,257591932,113538683,99527325,258134078,47860655,269388728,64179411,77327393,64179417,52328300,255993698,25316376,25316374,33044248,41987976,52328294,49726321,39707760,39707759,49726315,61205095,59719765,59719763,72455913,85580451,71993689,59257047,59257046,71993688,85580449,99527334,86786344,73173625,60426731,49023094,39094168,30498341,23085065,23085064,30498338,39094165,47990231,255965454,71993668,256466494,100767324,108760128,94466596,94466597,100767318,86786341,80406770,66976495,54717583,52812505,42411170,42411169,255965452,73173633,86786349,94466595,270113321,43973765,256466492,54717571,55378711,60270586,48878692,38959854,30374324,22972711,16736217,16736218,16736531,11693045,7798587,4945428,4945427,7798585,11693040,16280587,21094761,21094760,267825588,29353611,30374391,22972852,16736365,16736366,22972854,27233725,27233724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270551, s2 = 14323705, dlinesl.size( ) = 14 s1 = 11270723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270723, s2 = 10984698, int(edited[s2]) = 0 s1 = 11270723, s2 = 10984698, d1 = 10, d2 = 12 Dl.O(d1) = 257304740 Dl.O(d2) = 255323652,21498161,15491469,10712684,7077195,4455540,2676584,1550398,881422,254159947,2676586,4455552,7077219,10712728,15491542,17661770,17661769,24007790,26957172,35037158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270723, s2 = 10984698, dlinesl.size( ) = 14 s1 = 11270775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270775, s2 = 11383532, int(edited[s2]) = 0 s1 = 11270775, s2 = 11383532, d1 = 0, d2 = 8 Dl.O(d1) = 111922578 Dl.O(d2) = 151787507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270775, s2 = 11383532, dlinesl.size( ) = 8 s1 = 11270857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270857, s2 = 11437106, int(edited[s2]) = 0 s1 = 11270857, s2 = 11437106, d1 = 0, d2 = 10 Dl.O(d1) = 112084147,125918682,139268110,151975136 Dl.O(d2) = 139268114,151975140,151975147,151975146,163844466,263072827,184286558,174662852,163844469,151975150,151975151,263072827,184286555,174662851,163844469,163844468,174662850,184286556,192707108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270857, s2 = 11437106, dlinesl.size( ) = 2 s1 = 11270857, s2 = 11437106, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11270857, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11271187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11271187, s2 = 363120, int(edited[s2]) = 0 s1 = 11271187, s2 = 363120, d1 = 98, d2 = 0 Dl.O(d1) = 112208045,126064475 Dl.O(d2) = 9132838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11271187, s2 = 363120, dlinesl.size( ) = 26 s1 = 11271397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11271677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11271859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11271859, s2 = 10986288, int(edited[s2]) = 0 s1 = 11271859, s2 = 10986288, d1 = 8, d2 = 11 Dl.O(d1) = 258523272 Dl.O(d2) = 255322006,2608828,4355290,5002035,5002036,4603545,4603541,5574143,3457820,2049946,1175662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11271859, s2 = 10986288, dlinesl.size( ) = 16 s1 = 11272249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272249, s2 = 14199557, int(edited[s2]) = 0 s1 = 11272249, s2 = 14199557, d1 = 1, d2 = 1 Dl.O(d1) = 112422072,126284725,139654613,152375069,143037356,129706556,115807755,115807756,115807767,115807759,101761528,101761527,115807758,115807762,101761531,260112211,115807748,101761522,87788625,87788626,101761523,115807750,122288317,136263326,261227960,261227958,143037373,155587462,149527321,136263321,271358952,134629170,120832256 Dl.O(d2) = 112422072,126284725,139654613,152375069,143037356,129706556,115807755,115807756,115807767,115807759,101761528,101761527,115807758,115807762,101761531,260112211,115807748,101761522,87788625,87788626,101761523,115807750,122288317,136263326,261227960,261227958,143037373,155587462,149527321,136263321,271358952,134629170,120832256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272249, s2 = 14199557, dlinesl.size( ) = 2 s1 = 11272249, s2 = 14199557, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11272249, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14199558, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11272295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272295, s2 = 11518980, int(edited[s2]) = 0 s1 = 11272295, s2 = 11518980, d1 = 30, d2 = 35 Dl.O(d1) = 260511305 Dl.O(d2) = 264462243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272295, s2 = 11518980, dlinesl.size( ) = 48 s1 = 11272303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272303, s2 = 11408604, int(edited[s2]) = 0 s1 = 11272303, s2 = 11408604, d1 = 29, d2 = 25 Dl.O(d1) = 258769264,58240993,46873375,36994567,28497057,28497058,268915547,40170796,256955812,36994568,46873378,269193630,47114396,259599087 Dl.O(d2) = 261395333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272303, s2 = 11408604, dlinesl.size( ) = 8 s1 = 11272381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272381, s2 = 11553170, int(edited[s2]) = 0 s1 = 11272381, s2 = 11553170, d1 = 11, d2 = 13 Dl.O(d1) = 274182601 Dl.O(d2) = 265169476,265696346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272381, s2 = 11553170, dlinesl.size( ) = 8 s1 = 9027862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11272731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13582642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11272757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11272997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272997, s2 = 14109231, int(edited[s2]) = 0 s1 = 11272997, s2 = 14109231, d1 = 17, d2 = 26 Dl.O(d1) = 261651733,146998920 Dl.O(d2) = 133748791,261435461,105640015,91414215,77483581,257784721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272997, s2 = 14109231, dlinesl.size( ) = 28 s1 = 3395051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11273455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11273455, s2 = 10984482, int(edited[s2]) = 0 s1 = 11273455, s2 = 10984482, d1 = 33, d2 = 36 Dl.O(d1) = 98708735,257443856 Dl.O(d2) = 254500598,4439857,2666516,1543982,877246,865735,491004,275770,152355,152354,152373,152377,151954,151948,274636,488985,866821,1528355,267824333,15379796,21357153,28588122,37094441,258047507,259298407,112545430,112545431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11273455, s2 = 10984482, dlinesl.size( ) = 38 s1 = 11273481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10222503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11273875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11273875, s2 = 11406670, int(edited[s2]) = 0 s1 = 11273875, s2 = 11406670, d1 = 9, d2 = 13 Dl.O(d1) = 262182449 Dl.O(d2) = 193220872,193220873,200380734,274090099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11273875, s2 = 11406670, dlinesl.size( ) = 14 s1 = 11273981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11273981, s2 = 7395825, int(edited[s2]) = 0 s1 = 11273981, s2 = 7395825, d1 = 0, d2 = 14 Dl.O(d1) = 112852609 Dl.O(d2) = 266217065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11273981, s2 = 7395825, dlinesl.size( ) = 14 s1 = 13584096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11274217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11274217, s2 = 11393600, int(edited[s2]) = 0 s1 = 11274217, s2 = 11393600, d1 = 21, d2 = 17 Dl.O(d1) = 270894910,272535637 Dl.O(d2) = 186875736,263797860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11274217, s2 = 11393600, dlinesl.size( ) = 22 s1 = 10209700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11274537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11274537, s2 = 15110345, int(edited[s2]) = 0 s1 = 11274537, s2 = 15110345, d1 = 7, d2 = 7 Dl.O(d1) = 263208511,166598814,261245688,260670817,258831107,269370537 Dl.O(d2) = 263208511,166598814,261245688,260670817,258831107,269370537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11274537, s2 = 15110345, dlinesl.size( ) = 2 s1 = 11274537, s2 = 15110345, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11274537, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 16200535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13584988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11274859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11274859, s2 = 11384434, int(edited[s2]) = 0 s1 = 11274859, s2 = 11384434, d1 = 1, d2 = 12 Dl.O(d1) = 113025700 Dl.O(d2) = 163544301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11274859, s2 = 11384434, dlinesl.size( ) = 18 s1 = 11274885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11274885, s2 = 11142344, int(edited[s2]) = 0 s1 = 11274885, s2 = 11142344, d1 = 32, d2 = 23 Dl.O(d1) = 256065772,58816567,268271974 Dl.O(d2) = 259299602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11274885, s2 = 11142344, dlinesl.size( ) = 36 s1 = 11274961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11275089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275089, s2 = 11068674, int(edited[s2]) = 0 s1 = 11275089, s2 = 11068674, d1 = 18, d2 = 13 Dl.O(d1) = 260206528 Dl.O(d2) = 257725614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275089, s2 = 11068674, dlinesl.size( ) = 12 s1 = 11068673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068673, s2 = 11275090, int(edited[s2]) = 0 s1 = 11068673, s2 = 11275090, d1 = 9, d2 = 11 Dl.O(d1) = 257725615 Dl.O(d2) = 260206529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068673, s2 = 11275090, dlinesl.size( ) = 6 s1 = 11275259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275259, s2 = 11017582, int(edited[s2]) = 0 s1 = 11275259, s2 = 11017582, d1 = 2, d2 = 13 Dl.O(d1) = 99118223 Dl.O(d2) = 257536686,255477055,11392073,7568861,7568862,10878304,15714839,10878435,10878436,254747337,7192068,7566919,4784698,2883346,2883347,4784701,4785493,2883980,2882913,1672830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275259, s2 = 11017582, dlinesl.size( ) = 14 s1 = 11275301, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11275363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275363, s2 = 11400370, int(edited[s2]) = 0 s1 = 11275363, s2 = 11400370, d1 = 1, d2 = 13 Dl.O(d1) = 113132036 Dl.O(d2) = 263121471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275363, s2 = 11400370, dlinesl.size( ) = 14 s1 = 11275375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275375, s2 = 10934004, int(edited[s2]) = 0 s1 = 11275375, s2 = 10934004, d1 = 6, d2 = 11 Dl.O(d1) = 263121527 Dl.O(d2) = 221423004,223900424,221860611,219024202,264741649,206635325,200621251,193491701,273709183,264483425,264936893,265150504,219024207,215665290,211603622,211603619,215097448,210924954,210924953,215097445,213778681,213778682,265150503,217465174,213778679,264439030,220539798,221422997,218532759,218532758,220539818,264936888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275375, s2 = 10934004, dlinesl.size( ) = 14 s1 = 11275435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275435, s2 = 11167508, int(edited[s2]) = 0 s1 = 11275435, s2 = 11167508, d1 = 18, d2 = 25 Dl.O(d1) = 256866456 Dl.O(d2) = 254500980,267787074,4544425,2731835,2465511,1425203,810735,459434,459429,275886,275891,491587,871676,254334133,7033438,255401135,28446358,28446357,36946126,46824030,45214540,35681990,35681989,39833274,256703714,73992112,258475850,87592438,261137276,256900780,40698102,39161130,30563755,23146686,23146685,24518794,18087597,18087596,24518793,256574883,51000053,48519288,48519290,52398078,43869706,43869559,43869558,34599394,34599392,42670077,33754545,33754544,26612195,19804115,14185558,9751718,6411904,6411905,9751722,14185566,19804128,26612218,34599353,26612320,19804198,19804195,14185603,14185600,19804189,26612308,34599490,34599588,34599587,32624929,32624928,41508193,37870817,37870815,34599059,34599058,43348799,53874007,54612033,43869414,34599146,26612060,19804033,19804034,21890619,15813470,10958586,10958587,15813475,21890629,29202585,21889827,21889828,21889966,29202815,21889977,15812977,15812979,21889860,15812915,10958270,10958271,15812920,21889871,29202645,21891072,21891073,29204172,37765538,29203978,29203979,21891042,15813737,10958735,10958704,10958705,15813680,21890950,29203989,23168433,16905180,16905179,23168428,30586547,38033215,47686472,47686473,47686458,37765103,29203596,21890665,15813491,10958594,7253422,7253423,10958598,15813500,21889849,15812910,10958268,7253257,4574214,4574212,7253253,10958258,11830956,16905923,23168755,21891087,15813764,10958747,10958749,15813775,21891107,29204218,29203483,21890591,15813713,10958722,7253492,4574319,2751937,1595258,1595257,2751931,4574304,7253461,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,37765517,257485353,49114109,39185240,33013244,25288283,18715372,18715373,15000817,10331074,6799236,6799237,10331075,15000820,11830709,11830710,16905575,16905542,11830686,7906248,5025601,5025603,7906252,7035780,7035779,10654893,15414103,10958566,7253405,7253403,10958560,15813420,15814477,15814476,15813329,10958504,10958505,15813333,15414283,10654975,10654979,10959163,15814385,21891928,18858698,13436543,13436542,18858693,13600403,13600400,11575999,7705243,4876558,4876559,7705245,11576002,16597995,22816997,30208745,31701282,24193235,255198891,12619844,17823916,24193240,31701289,40393729,41695887,32779569,32779571,41695890,52007396,256303522,27956223,20794768,14902316,14902315,18538013,13172060,13172062,18538019,18880149,25482591,255998255,23611794,25080331,32777634,29659493,22307352,18776428,18776430,14895609,13680556,13680555,14895012,20782112,15568305,15568304,14895468,10242274,10242276,14895475,14895512,20782863,23824514,23824515,27935830,21595048,15568158,15568157,21595040,27935660,33438520,25668926,19048568,19048570,20783090,17332856,14895156,10242095,6729774,6729773,10242090,14895143,20782335,14895680,10242370,10242369,14895672,20782756,20782755,20782450,20782452,20782194,20782193,27935000,32322129,32322126,41135866,51319489,47935662,47935663,41919314,32979272,25256388,18685431,18685429,18685430,25256385,32979270,32550007,24900545,24900544,32550005,36380038,37354385,46801693,36923495,30457693,23050064,16804417,11750634,11601214,11601217,11750625,16804396,23050021,20794957,20794956,15215285,12016489,12016488,17102170,21756691,21756687,21756688,29050809,27110372,20210519,14502623,9979407,6559150,6559152,9979410,14502627,12413589,8390173,5414216,5414215,4109202,4109201,4109228,6559141,9979394,14502612,17587551,17587552,17587553,15764737,15764738,21833500,29141220,256022459,23929239,20209895,14502179,9979088,6558951,6558950,9979084,14502170,20209879,21278865,21278864,20211566,14503387,9979915,6559486,6559484,9979333,14502534,20210418,27111520,35201384,41126835,32313727,32313726,41126833,256527978,61599404,257320344,257531518,61431386,52529790,42807624,269102955,40213508,31527628,31527627,39758504,31080808,23597515,17285413,12164798,8196262,8196263,12164802,12164781,8196254,8196255,12164784,11961833,11961831,17051286,23314498,24209106,20813954,20813951,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,27977938,36436641,44455468,44455467,49258323,39332971,30735264,255530015,255530017,17052149,255977173,23315211,17051795,17051796,23314093,268435254,39330448,30732099,23313303,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962514,255977219,255977147,17052019,255529961,23314762,23315479,23315469,23314696,17051410,17051409,23314694,30731541,30734544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275435, s2 = 11167508, dlinesl.size( ) = 8 s1 = 14159481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11275681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275681, s2 = 11027608, int(edited[s2]) = 0 s1 = 11275681, s2 = 11027608, d1 = 43, d2 = 33 Dl.O(d1) = 259354312,260572626,264200069,175780245 Dl.O(d2) = 256362098,15799004,15799003,21873630,29184813,22584080,22584081,255795770,36557315,28087994,20914470 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275793, s2 = 11396472, int(edited[s2]) = 0 s1 = 11275793, s2 = 11396472, d1 = 82, d2 = 49 Dl.O(d1) = 272208652 Dl.O(d2) = 153789373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275793, s2 = 11396472, dlinesl.size( ) = 42 s1 = 11276281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11276281, s2 = 11083274, int(edited[s2]) = 0 s1 = 11276281, s2 = 11083274, d1 = 9, d2 = 6 Dl.O(d1) = 257155762,61197765,260096687 Dl.O(d2) = 256740206,26931884,20808396,20808398,27971769,26926342,20040919,14356179,14356178,15174520,15174527,15174526,16187580,22335018,20046537,14360858,14360856,18589682,21822747,29129692,29494813,31503639,24712392,24712393,20044413,20044412,21780491,268115572,44388970,35011617,26929887,26929886,35011616,36940930,255053448,29494132,29494131,26225632,19510811,13965810,13965811,19510814,21167200,15209909,15209908,15210760,16185563,21168390,28386638,34992792,44371224,55222352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11276281, s2 = 11083274, dlinesl.size( ) = 8 s1 = 11276687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11276687, s2 = 11014034, int(edited[s2]) = 0 s1 = 11276687, s2 = 11014034, d1 = 0, d2 = 11 Dl.O(d1) = 113539081 Dl.O(d2) = 140765137,150473632,260998814,109514364,260418246,42006216,268702144,13353798,9125833,5971756,3734488,3734491,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,9384779,6148201,6148202,9384781,12803833,12803834,254733534,19231610,13739468,9413060,6167313,3858969,3858970,6167315,4399642,2636518,2636519,4399647,6932285,4355467,4355466,3498231,3498230,5629863,8655411,12737419,11209740,7437819,4699784,4699781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11276687, s2 = 11014034, dlinesl.size( ) = 10 s1 = 11276769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11276769, s2 = 11135468, int(edited[s2]) = 0 s1 = 11276769, s2 = 11135468, d1 = 13, d2 = 0 Dl.O(d1) = 258735169 Dl.O(d2) = 37958241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11276769, s2 = 11135468, dlinesl.size( ) = 8 s1 = 11276783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11277641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277641, s2 = 11324752, int(edited[s2]) = 0 s1 = 11277641, s2 = 11324752, d1 = 14, d2 = 6 Dl.O(d1) = 260591371,273126244,193832154 Dl.O(d2) = 263033732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277641, s2 = 11324752, dlinesl.size( ) = 20 s1 = 11277707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277707, s2 = 11136472, int(edited[s2]) = 0 s1 = 11277707, s2 = 11136472, d1 = 21, d2 = 6 Dl.O(d1) = 99753085,99753086 Dl.O(d2) = 44454288,48076578,48076579,59467273,72204955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277707, s2 = 11136472, dlinesl.size( ) = 22 s1 = 11277743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11277763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15579239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11277801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277801, s2 = 11308396, int(edited[s2]) = 0 s1 = 11277801, s2 = 11308396, d1 = 7, d2 = 4 Dl.O(d1) = 113784058,127651791 Dl.O(d2) = 261205854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277801, s2 = 11308396, dlinesl.size( ) = 8 s1 = 11277821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11277925, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11277933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11278057, s2 = 11088442, int(edited[s2]) = 0 s1 = 11278057, s2 = 11088442, d1 = 10, d2 = 12 Dl.O(d1) = 99818112 Dl.O(d2) = 256985932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11278057, s2 = 11088442, dlinesl.size( ) = 18 s1 = 13588446, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11896150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11896150, s2 = 5962006, int(edited[s2]) = 0 s1 = 11896150, s2 = 5962006, d1 = 8, d2 = 4 Dl.O(d1) = 97683564,111601598,260463473,260463471,111601609,97683573,97683571,111601604,111601612,125400233,138723782,125400227,111601600,111601599,97683567,83826333 Dl.O(d2) = 57611111,46266648,257382121,259661895,119989596,133855221,147098457,159472165,170809640,180936465,263155010,263548406,209446726,213911525,217577498,220636988,223239668,225490639,227449337,229162651,230676019,232024312,233238703,234338050,235338805,266427746,237843324,238534533,239167533,239748308,240284804,239905129,239336443,238718983,238045855,237305493,236491528 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11278191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11278289, s2 = 11202790, int(edited[s2]) = 0 s1 = 11278289, s2 = 11202790, d1 = 37, d2 = 0 Dl.O(d1) = 113883265,259902376 Dl.O(d2) = 60269612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11278289, s2 = 11202790, dlinesl.size( ) = 22 s1 = 15204024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11896374, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13589466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11279039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279039, s2 = 11309888, int(edited[s2]) = 0 s1 = 11279039, s2 = 11309888, d1 = 5, d2 = 4 Dl.O(d1) = 257000048 Dl.O(d2) = 176411019,176411021,185848383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279039, s2 = 11309888, dlinesl.size( ) = 2 s1 = 11279039, s2 = 11309888, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11279039, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14083037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13439128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13439128, s2 = 8357860, int(edited[s2]) = 0 s1 = 13439128, s2 = 8357860, d1 = 12, d2 = 10 Dl.O(d1) = 23875000,31370002,40050737,50070351,61548657,73341855,60597028,49196420,49196402,39270240,30673954,23257901,16994798,11909185,7965922,7965923,11909187,16994803,23257909,30673970,269833960,61548655,51210877,51210876,62860712,58628363,47235492,47235491,47492106,47492107,58872755,71594544,60144252,48749993,48749992,40220420,40220419,50240498,48749989,48749988,60144249,72880680,60597019,49196418,256456276,49930783,61409810,58628376,47235501,256334087,28790102,37326587,47235496,58628369,71365201,257200204,58872773,47492120,47492121,58872775,71594555,77768035,64585063,64585064,71365224,71365223,84941903,71594570,58872793,47492139,47492140,58628361,47235488,269318059,47492133,47492134,58872790,58872826,58628379,58628381,71365215,71594597,58872827,47492168,37587722,37587721,47492165,42297838,42297837,52684473,64585086,77768047,71594523,58872734,47492116,37587677,29040151,21747711,21747710,29040150,37587675,47492114,47492170,37587723,29040180,29040181,37587695,47492096,58872743,71594531,71594585,71594586,71594575,71594574,77768040,77768041,85160913,258084149,47492164,37587720,29040178,21747725,15695612,15695613,21747727,29040183,37587725,47492175,58872834,71594602,77768048,64585088,64585087,71594572,72046737,72046736,257932246,77768055,257331778,64585077,58872821,47492161,47492160,47492159,58872819,71594588,77768044,64585081,64585080,65742942,257932252,75674175,62727666,51095714,51095715,62727669,58872805,58872806,64585106,52684503,42297862,33317251,33317252,42297864,52684507,53686775,43176178,37587702,29040167,25555227,25555226,33317233,42297832,52684463,52684488,42297849,42297850,52684490,64585095,77768045,64585092,59311554,47917849,38002023,38002022,33317239,25555230,25555229,33317237,42297839,42297868,33317255,25555237,25555235,33317249,42297859,43420291,53946554,256238330,52684496,42297855,33317247,33317248,42297857,38002038,38002039,47917866,42297844,33317241,25555231,25555232,33317243,42297847,52684485,47917835,38002011,38002007,47917829,42269865,33289625,33289626,42269867,40793276,40793275,42269903,38036685,33289699,25529073,18919197,13487573,9227864,6043750,3781630,2265375,2265374,3781628,6043748,9227863,13487570,18919187,25529060,25529025,18919156,13487541,11120075,7375776,7375777,11120076,16015757,22130627,29465465,22137285,22137286,29473813,29473805,22137279,22137278,16020752,11123583,7378054,4661132,4661130,7378048,11123574,16020738,22137260,29473777,31665243,24155522,22397659,22397660,29758859,38328834,33289663,255668895,18919172,25529042,33289661,42269897,52655803,52656056,42270189,256133624,42269760,255668898,60540933,60540934,73284581,86895049,77737828,269509677,42270133,33289895,25529254,25529255,33289897,42270135,42270120,33289890,33289889,33289900,268748951,52655988,64555533,52655982,42270114,33289885,256649991,48233787,48233786,256948267,38323775,257528457,72355648,64555541,52655987,52655986,258412665,47923759,38008776,29754244,29754245,38323774,256948265,29754243,22393614,22393615,16233706,16233705,22393619,29754250,29754248,29754249,23001931,16762129,16762130,23001932,30407028,38996304,48920204,60318812,256942666,31730073,24222208,24222209,31730074,40423562,50460907,61956729,59620833,48233774,48233775,59620835,72355644,72051671,72051672,59316820,59316821,72051674,85639220,99589298,100217886,86250899,86250898,271806410,59909298,59391843,48003593,256387607,29528671,30028188,38601390,30028286,30028285,38601514,48516249,48516137,38601413,30028207,22654556,22654554,30028222,30028234,30028235,38601442,38601386,38601384,48516111,59391835,59909368,59645642,48516278,257549489,38601301,38601302,48516025,38601481,38601482,48003633,38092230,29528626,29528625,38092228,48003629,38601330,30028132,22654506,16462027,11470063,11470064,16462030,22654514,30028147,29528678,22186231,22186230,29528675,22654521,22654520,30028154,38601347,38601358,30028161,30028162,38601360,257549495,38601398,38601397,48516128,48516267,48516266,48516033,38601306,38601309,48516038,38601417,30028209,22654556,16462050,11470075,11470074,16462047,22654535,22654536,30028182,38601376,48516099,48516220,38601490,30028266,30028267,38601492,48516223,48003700 Dl.O(d2) = 48516172,59909286,48516182,38601455,38601454,48516181,59909341,59909410,59909411,72649787,86250887,72649739,59909381,59909382,72122843,258743117,59391886,59391887,48003708,38092298,38092297,48003707,59391960,72122858,85707439,72122669,59391768,59391769,72122671,72122819,59391927,48003670,257510043,72122820,85707558,99655421,99655412,85707540,85707541,85707550,84456172,70899707,257424619,36942372,255817553,21217005,28442812,256846015,58186643,64180523,52329725,52329726,64180524,77328247,77737302,64554975,52655355,42269438,33289249,33289248,42269437,36942396,28442832,21217022,21217021,28442829,36942388,36942387,46820344,58186657,52655217,42269300,33289124,25528618,18918827,18918826,25528616,21388160,15404148,15404149,18918864,13487326,9227698,6043635,3781564,3781563,6043633,9227678,6043618,3781553,2265341,1314132,750085,426334,240781,240783,426339,254147487,2265386,3781655,6043792,9227822,9227821,254924709,6043621,6043620,9227688,13487316,18918851,25528642,33289154,25528753,18918941,13487461,13487460,13487489,13487488,18919092,18918988,13487418,13487417,13487515,9227829,6043723,3781612,3781613,6043725,9227831,13487451,9227795,6043700,3781601,2265361,1314142,1314141,2265356,3781594,3781584,2265352,2265353,3781588,6043675,9227753,13487402,18918967,25528782,256649927,52655428,55667356,68066835,71830852,59090675,59090674,71830851,85418596,99361346,99759205,91500313,77569147,64400892,52527426,52527424,64400888,77569143,91500308,95390833,95390834,86458686,72863191,60126462,48731942,38811715,38811716,257566333,57617288,46272759,46272758,57617285,70307951,259243749,111609470,114007073,99982246,91500305,91500304,99982271,258739618,59689422,59689421,59689411,48302811,38392569,38392568,48302809,59689409,72424678,73086898,86690629,99982231,99982259,114007068,99982240,86021766,86021765,72424684,72424683,259392181,98152206,98152205,112111729,259270985,84258307,70706969,258644485,259597455,85418594,71830849,59090670,59090671,47692004,37770583,29208864,29208865,37770584,47692005,59090720,71830803,59090626,59090627,268934127,29208870,256906113,59090746,258719865,71830929,59090740,47692038,37770610,29208877,29208876,37770607,47691918,47692029,37770602,29208873,21895166,21895167,29208871,21895165,15817064,15817063,255869915,37770522,29208796,21895114,21895113,29208800,37770513,29208784,29208783,37770510,29208834,255434407,10961354,10961355,15817067,21895170,29208880,37770534,29208804,29208805,268934119,257485827,37770537,37770536,29208837,21895143,15817050,10961342,7255578,4575967,4575966,7255576,10961338,15817044,21895138,256364249,29208887,21895176,15817072,10961359,10961358,15817071,21895174,256364257,29208856,21895155,16615434,11589317,7714338,7714339,11589318,16615435,22837005,30228964,29208808,29208809,37770540,47691950,59090651,71830825,71830877,270311997,99361356,260564165,99361423,85418685,270270580,75674336,75674335,71830808,59090631,47691923,47691922,51737103,58628476,71365299,75674333,62727843,62727844,71365298,58628475,47235609,256334099,21525963,15513691,254737771,7089202,10729435,15513699,21525975,24587243,32173271,40952820,47235645,37326722,28790210,21525973,21525974,28790212,37326724,47235647,58628525,270297433,98868850,112856914,98868849,84941990,84941989,75674315,258954131,103534195,98868656,84941748,71365049,71365048,74134094,61352207,61352206,71365050,73247330,73247329,71365053,58628242,58628241,71365051,58628246,58628245,258066117,58628216,71365030,58628211,58628210,71365028,71365066,58628251,47235388,256334073,255842301,15513594,10729357,10729358,15513570,255842289,37326454,47235351,47691929,256364241,28790010,21525823,15513585,15513586,21525825,28790014,28790003,28790002,37326475,47235372,58628230,47235412,257455183,37326452,28789984,21525884,21525883,21525848,21525847,21525866,15513621,10729375,7089153,4463655,2681696,2681697,4463657,7089157,10729384,15513629,21525876,28790070,37326535,40324997,47235433,37326538,28790069,21525874,21525873,28790066,37326536,47235434,58628193,58628194,71365006,268753918,84941720,84941837,71365141,256662792,88331630,84941834,84941835,98868722,98868721,112856959,112856962,126709134,140056864,152746893,152746863,259053606,112856900,101903791,101903790,115949401,129655294,115757187,101710930,101710929,87736731,74130898,61349010,49866837,49866836,61349006,74130891,87736724,101710924,87736717,87736716,87736715,87736714,101710922,100926874,86944175,73333421,73333422,86944177,91504152,77573146,64405151,64405152,77573147,73333426,60589013,60589014,73333428,86944188,93002335,95168868,109425202,105728593,105728594,114980646,259482216,78892500,65557493,65557492,259091845,81110445,70341213,57650662,57650663,70341214,257400638,44460388,35085155,27000344,27000345,35085156,36452963,37525513,28981634,21699374,21699373,256347453,47433149,52531875,42173954,33214530,25467143,25467144,33214525,255665485,18866934,25467136,25467139,25467138,256645259,256645308,254922485,6018459,6018460,9193036,13443781,18866946,25467154,33214541,257200745,52531888,64405160,77573158,260276887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13439128, s2 = 8357860, dlinesl.size( ) = 2 s1 = 13439128, s2 = 8357860, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13439128, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 11279443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279443, s2 = 11318162, int(edited[s2]) = 0 s1 = 11279443, s2 = 11318162, d1 = 23, d2 = 25 Dl.O(d1) = 260717512,23844133,255174981,12341848,17503122,23844131,31336075,40014377,38169921,29602910,22253283,22253282,29602908,255627904,17281325,12160324,10906991,7213591,4545029,2732203,2732201,4545017,7213564,8345461,12352165,17516409,23859835,28368645,36866293,29108620,22468992,21149879,21149883,25256058,25256060,31536767,24034134,17682893,17682892,256030979,21149627,15195865,10481397,10481396,15195862,21149622,28365870,23676688,23676689,18764185,13361703,13361700,255657077,17357134,12227337,12227334,17357131,17516464,12352196,8345472,8345474,12352204,15196741,15196738,21151077,23801833,21150291,21150295,21152888,256301107,36865615,256839727,256471389,23222401,23217752,23217749,20870415,20870414,28038432,23218665,16946073,11860262,7926614,7926612,11860258,16946067,23218648,23801954,27069320,27069321,35155130,36866829,39241317,30644618,23222062,16949032,11862180,7927694,5039555,254252121,1013320,1013324,1777395,3051042,5039572,5039570,6788145,10318360,14986916,16949257,12226639,8254996,8254997,12226634,12226630,12226629,16945869,16945870,22322640,23218291,16945750,11860699,7926843,5039146,5039145,7926822,7926821,11860309,11860307,8318721,8318722,8318729,8318730,5368005,5368004,8318738,7926494,7926497,7926595,7926452,7926456,11859829,7926385,6819530,4277866,4277867,6819537,10355243,15027412,20935515,28112273,22082942,22082943,23221869,16948859,254816251,5039519,5039520,254816253,11862063,11862064,16946915,16946917,17512669,12349239,12349238,17512667,23222924,16949908,15254483,15254482,21224368,28451165,23222934,16949777,13222914,9014637,5885440,268020813 Dl.O(d2) = 257766193,77037220,259634897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279443, s2 = 11318162, dlinesl.size( ) = 14 s1 = 11279445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279445, s2 = 11284926, int(edited[s2]) = 0 s1 = 11279445, s2 = 11284926, d1 = 14, d2 = 1 Dl.O(d1) = 256962584,59854655,255481638,29982171,29982172,38551315,47978255,39036010,30446669,25078499,18535304,13170111,8977670,8977668,13170124,14195861,16210331,11268430,7480247,4727347,4727349,7480258,11268447,14088160,14088162,19654753,18330450,13011985,13011986,18330452,24821943,32459582,255945220,63232963,257569808,104185216,118341931,132156524,137361532,137361533,150402747,262577853,173565820,183362191,191926219,199293379,199017082,263768888,161929396,149632938,261504234,93520693,79383777,66015440,53945310,43418773,43418774,53940908,43414107,43414106,268942593,22254360,16115870,11194639,11194644,16115881,15700382,10868784,10868787,11194424,7573858,7573855,9924673,9924675,8330461,6522801,4086954,4086955,6522807,9924651,12805021,8706713,8706712,12805018,18061328,24483968,23475160,23475159,25281763,256628855,52289269,259014295,105432267,260854369,262361205 Dl.O(d2) = 260115038,258253148,258906041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279445, s2 = 11284926, dlinesl.size( ) = 8 s1 = 11279633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279633, s2 = 5597002, int(edited[s2]) = 0 s1 = 11279633, s2 = 5597002, d1 = 38, d2 = 62 Dl.O(d1) = 258217854 Dl.O(d2) = 230771512,229269832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279633, s2 = 5597002, dlinesl.size( ) = 8 s1 = 11279877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279877, s2 = 10984634, int(edited[s2]) = 0 s1 = 11279877, s2 = 10984634, d1 = 13, d2 = 11 Dl.O(d1) = 100253307,258785613 Dl.O(d2) = 38646029,38646030,256971997,38645974,38645975,30070408,30070239,22690827,16489922,11489187,11489185,10378286,254487305,1477187,1477315,2565568,3713852,2565771,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279877, s2 = 10984634, dlinesl.size( ) = 8 s1 = 11280039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11280187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280187, s2 = 14065898, int(edited[s2]) = 0 s1 = 11280187, s2 = 14065898, d1 = 44, d2 = 47 Dl.O(d1) = 258166714,257557833,38719777,30140166,30140167,38719780,255110694,16724663,16724664,22960491,255492182,8318359,12314911,12731045,12731043,15354967,12796987,8700410,5663212,3584450,3584447,3589248,2139879,2139878,3589242,5762542 Dl.O(d2) = 257148237,257734943,51424181,41227099,41227100,256595771,32402947,41227101,41227102,51424183,63120890,76126127,63120892,257148233,32402938,32402940,32402937,256754599,30184895,22795148,16578466,11558991,11558992,7742067,4902321,4902319,5965742,3730602,3730603,5965715,3730608,254441691,9117675,10029543,10029544,6866339,6866338,10416053,15101965,21026043,16571779,11552821,11552820,16396209,22577250,16394389,16394390,11561532,7694305,7694304,11561528,15020329,15021445,10349044,10349042,15021441,256818991,255134146,22718636,30100709,254250452,27963582,27963581,255964286,10267999,6747397,6747398,9202120,6024680,6024679,9202119,13456246,18882714,14942432,10277073,6753944,6753943,6845468,255369731,28125335,36598875,40077565,40077566,50098312,61578264,57822327,50098310,40077564,31396344,31396343,40077561,50098305,50098297,40077554,31396340,31396341,40077557,40077569,40077570,257655803,61578261,50098311,50098312,61578264,57822327,50098310,40077564,31396344,31396343,40077561,50098305,50098297,40077554,31396340,31396341,256526029,17558681,12387875,8371173,5402608,3321682,3321683,5402611,254853127,17558696,23903097,31396331,23903073,17558682,12387875,8371173,8371172,12387872,17558678,23903077,31396335,23903080,17558683,17558685,23903083,31396348,31396360,257073041,31396347,31396348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280187, s2 = 14065898, dlinesl.size( ) = 32 s1 = 11280295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280295, s2 = 11468988, int(edited[s2]) = 0 s1 = 11280295, s2 = 11468988, d1 = 1, d2 = 27 Dl.O(d1) = 114375055 Dl.O(d2) = 273557365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280295, s2 = 11468988, dlinesl.size( ) = 34 s1 = 11280549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11280759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280759, s2 = 11128656, int(edited[s2]) = 0 s1 = 11280759, s2 = 11128656, d1 = 8, d2 = 10 Dl.O(d1) = 261939338 Dl.O(d2) = 258365780,71548063,256609938,99044039,99043990,85118990,71547953,58819622,58819621,52181893,41856871,35408288,35408287,42686311,33656055,33656056,42686313,53137128,42686372,33656106,33656105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280759, s2 = 11128656, dlinesl.size( ) = 12 s1 = 11280773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280773, s2 = 10238265, int(edited[s2]) = 0 s1 = 11280773, s2 = 10238265, d1 = 39, d2 = 60 Dl.O(d1) = 100435237,260641403,273499806 Dl.O(d2) = 139063953,125725388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280773, s2 = 10238265, dlinesl.size( ) = 34 s1 = 13638289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11281005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13591594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13591594, s2 = 10578904, int(edited[s2]) = 0 s1 = 13591594, s2 = 10578904, d1 = 19, d2 = 12 Dl.O(d1) = 114541551,100511569,100511570,114541550,100511568,86549915,72950745,60211853,48815962,38894663,38894662,269360517,260046201,128424296 Dl.O(d2) = 259429634,86549913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13591594, s2 = 10578904, dlinesl.size( ) = 22 s1 = 14673771, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11281129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11281129, s2 = 11038822, int(edited[s2]) = 0 s1 = 11281129, s2 = 11038822, d1 = 33, d2 = 37 Dl.O(d1) = 272576991 Dl.O(d2) = 259421588,256440246,15945162,11064939,7336634,7336633,11064938,15945160,11068182,7338955,7338954,11057793,7332254,4631947,4631946,4631708,4631709,7331883,11057233,11068189,11078111,11078109,11067275,11067274,14512180,14512179,20223846,15937298,11059015,7332931,7332929,11059010,15937293,22039758,29370674,256721784,30845904,23415822,17139979,15943443,15943442,22046478,22285714,22285715,25535750,18924274,13491163,13491162,15882251,15882247,21684668,15645457,10828183,7157222,4507661,2708673,2708676,2708594,2708598,2263120,2263124,2263114,2263113,2263168,2263165,3778292,5749339,5749337,8824063,12964856,260211871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11281129, s2 = 11038822, dlinesl.size( ) = 38 s1 = 11281361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11281361, s2 = 11027426, int(edited[s2]) = 0 s1 = 11281361, s2 = 11027426, d1 = 21, d2 = 3 Dl.O(d1) = 100618192 Dl.O(d2) = 38988715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11281361, s2 = 11027426, dlinesl.size( ) = 30 s1 = 11281411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16001038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14076604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11281801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11281801, s2 = 11336058, int(edited[s2]) = 0 s1 = 11281801, s2 = 11336058, d1 = 9, d2 = 6 Dl.O(d1) = 100776327,100776328 Dl.O(d2) = 86795459,73182881,73182880,86795457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11281801, s2 = 11336058, dlinesl.size( ) = 12 s1 = 11281941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11281941, s2 = 10365958, int(edited[s2]) = 0 s1 = 11281941, s2 = 10365958, d1 = 1, d2 = 9 Dl.O(d1) = 114863444 Dl.O(d2) = 262767985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11281941, s2 = 10365958, dlinesl.size( ) = 16 s1 = 14499234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14499234, s2 = 14246017, int(edited[s2]) = 0 s1 = 14499234, s2 = 14246017, d1 = 1, d2 = 3 Dl.O(d1) = 67714388,55374592,44528386,35152137,27066456,20172116,14472969,14472968,20172115,27066454,35152136,256128836,47662344,269329715,29179655,21868950,15794997,15794996,21868948,29179654,29179651,29179652,37740471,47662339,48384751,48384750,59767586,60372062,72479243,59744098,59744099,72479245,84357330,70798716,58081910,58081909,58263184,46896336,46896335,58263182,58263348,46896449,46896450,58263350,70978867,58263168,46896322,38242542,38242541,48151565,59538098,48976102,39054344,30464608,23056243,16809571,16809570,23056239,30464603,39054331,48976082,60372132,73111659,86717436,98464404,86869556,86869555,73256757,73111652,73111651,259033485,100830744,86849770,73256605,60509672,60509671,60372017,48975992,48975993,39054361,39054358,48976127,60372187,48976350,48976349,60372504,73112090 Dl.O(d2) = 259607765,86717452,259437829,114743491,259380624,98464409,84542344,70979004,63250069,51533742,41313194,32468092,24828918,24828917,32468090,41313191,269465949,258980625,101065309,87069653,87069652,101065307,112454520,261091563,114743536,100693742,258407870,257202276,39054364,30464616,30464615,39054358,48976127,60372187,60372509,72562202,64410502,52539357,42180878,33221368,25473944,18873053,18873057,25473854,18872998,13448725,13448724,18872992,25473845,33220740,25474371,18873326,18873328,25474375,33221991,42181751,46598453,57975490,70693451,84245410,77584075,77584076,77582560,73256824,60509856,49105658,49105655,60509851,52540538,52540539,49105556,39175304,30577695,30577696,39175308,49105564,60372474,48976319,48976320,39054492,30464686,23056291,23056292,30464691,39054508,48975974,60371981,60372405,48976264,39054449,39054450,48976268,52540581,42181781,33222015,268746689,52540513,52540514,64414959,73111769,86717541,91509632,77578854,77578853,64415223,64415222,77584079,91515211,98943510,257601450,257105190,60490151,73236832,84540957,84540961,98463206,112453482,105739019,91515262,91515263,91508452,86721550,73116000,73116001,86717533,73111766,73111767,86717536,100693755,109436905,95180851,88268113,88268111,91506961,91509602,91509603,100696962,86721639,73116118,60376099,48979332,48979331,60376094,73116114,85955246,99913275,85955250,72359808,72359810,73115610,73116126,84108591,91509904,91509906,91533398,77602697,77602696,73116069,60376069,48979319,39056861,30466580,23057803,23057804,30466582,39056866,48979327,60372164,60372168,73111694,73115931,64409363,52536319,42178709,42178708,42178704,269080853,64409357,77577170,77577991,77577992,73116089,60376075,48979325,48979326,60376078,73116094,86721614,86721594,73116075,60376070,57870173,57870174,62034552,74830958,77581877,258018398,95263422,81207435,81207434,95263420,97983515,84108578,259267035,91511637,77580770,259033599,100696656,91515738,259660879,105731426,105731424,91507239,77576519,64408804,64408803,259033305,73116082,60376073,48979324,39056864,39056863,257582917,73116077,86721599,100696926,260277219,86721469,86721467,100696814,109436710,95180646,258700298,258845304,28515039,21293918,21293917,28515038,37014539,42180065,52538185,64411798,73112260,73115578,70976969,58261170,58261172,70976979,84540287,98462510,101065356,87069707,87069692,73452108,73452107,87069690,84540994,84540993,84540321,70977020,61663811,61663809,61663825,50177950,40152711,31468816,23973238,23973235,31468809,40152704,50177933,61663789,256828966,87043239,73425410,73425409,81180362,81180361,95235843,109488965,98139678,98139677,112098722,109437451,105737388,91513425,91513423,105737377,91513405,77582276,64413679,64413680,77582279,84245957,84245959,91513372,84243120,70690939,70690938,84243115,98137043,98139674,98139675,98139679,111642747,111642746,111642749,125445097,125444991,111642591,97721875,254489248,57647562,57647563,70338025,83863207,97721878,99641385,254716944,83863358,84240532,84239500,70687057,70687059,84239503,83863430,70338234,57647726,254156526,36449917,46302887,57647730,70338281,59373661,47983749,38071706,38071707,47983751,59373653,47983744,47983743,59373652,72106151,85692094,99641345,85692131,85692132,95236058,81180673,67715589,67715588,81180671,85692166,268200476,59373740,47983834,38071751,29508038,29508037,38071747,47983826,57976137,46598995,36710819,36710822,46599004,57976147,60231961,70691691,57973811,57973810,70691678,84243788,72254756,67715369,55375587,55375586,67715365,81180487,73425525,256290734,49276360,60677474,55375626,44529452,44529453,256290702,44529309,44529352,35153239,27067524,27067525,35153243,44529360,38072152,38072153,47984286,59374139,70337968,67715394,55375603,44529431,44529432,44529704,55375981,61303454,257407850,33220296,256645585,49276912,49276911,60678028,73426015,87043735,73426701,73426703,73426685,60678866,49277785,49277786,55375710,55375711,57976719,46599576,46599573,49277072,39350367,39350368,49277075,60678188,73426150,81180757,73426053,73426050,60678087,257024689,23328235,17062040,17062041,23328240,30750106,39350288,30750826,30750228,30750226,39350347,39350363,49277062,49277918,49277984,49277052,39350354,39350355,49277028,39351299,30751040,23328990,23328991,30751036,39351291,49277996,60679037,60678082,49276949,49276948,60678076,60678220,60679059,60677397,49276354,39349756,39349755,39351397,39351294,39350258,30750086,28385250,28385251,30749766,23328033,17061937,17061939,17062084,17062085,23328295,30750062,30750063,30750056,23328208,23328209,23327756,23327755,30749429,39349391,30749396,23327761,17061761,11970319,8014364,254380819,1809860,1809859,254380817,5103006,3097659,1809890,1809891,3097661,5103011,8014637,11970787,17062540,23328289,17062080,11970509,8014467,5102935,3097625,3097624,5102933,8014465,11970504,17062077,23327906,17061865,11970371,11970370,17061859,23327902,30749639,30750613,23328610,23328609,23328428,23328429,30750362,30750386,30749680,23327935,17061878,17061877,23327931,30749674,30750348,30750350,30750558,23328565,17062256,17062255,23328562,255978185,23327866,30749579,39349597,39349683,30749650,30749651,30749626,23327893,268426413,39349652,49276242,44501122,257313925,30751109,30751108,39351356,49278039,256840796,30852145,30852196,23421573,255984699,39456307,39456310,30852197,30852198,39456314,48060747,59451931,49277236,39350561,39350562,30852181,30852180,39456283,49384304,59451913,49384161,49384160,60678263,60094991,48698944,48698943,48827673,38905724,30318924,30318923,38905722,257574545,70680812,57962305,57962306,57962335,46585769,46585770,57962336,49384400,39456354,32114335,24537181,18103908,18103906,24537177,32114331,36646294,46513827,49384284,40887929,32114325,24537174,256576323,49384198,49276032,49276033,57962319,57870038,46513833,36646299,28170849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14499234, s2 = 14246017, dlinesl.size( ) = 2 s1 = 14499234, s2 = 14246017, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14499234, Dl.E( ) = 6, 9.06e-06 seconds used appending s1 = 14200082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14200082, s2 = 8411404, int(edited[s2]) = 0 s1 = 14200082, s2 = 8411404, d1 = 62, d2 = 50 Dl.O(d1) = 85479038,99420328,260140235,102147416,261383150,61758430,258278909,88156787,102147417,116208453,130119615,143451319,155991457,261851446,143451314,130119609,116208444,116208445,130119606,130119607,143451311,155991448,167602233,273370154 Dl.O(d2) = 131420293,117619425,103488991,89394693,89394692,103488989,103488987,89394691,75633320,75633319,62688737,51059216,40918562,40918561,257714289,65002143,65002155,65002146,53027426,42587574,42587573,53027424,42587580,42587581,36432921,27974024,27974025,36432924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14200082, s2 = 8411404, dlinesl.size( ) = 14 s1 = 13592938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11282241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11282241, s2 = 11078098, int(edited[s2]) = 0 s1 = 11282241, s2 = 11078098, d1 = 1, d2 = 2 Dl.O(d1) = 100864531 Dl.O(d2) = 255358556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11282241, s2 = 11078098, dlinesl.size( ) = 2 s1 = 11282241, s2 = 11078098, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11282241, Dl.E( ) = 18, 1.19e-05 seconds used appending s1 = 14200098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11282541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10614043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11282615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11282615, s2 = 10682149, int(edited[s2]) = 0 s1 = 11282615, s2 = 10682149, d1 = 64, d2 = 1 Dl.O(d1) = 100950070,259342126,60609377,60609378,73354384,86965966,86965969,73354388,60609376,60609375,73354387,262776379 Dl.O(d2) = 42735516,33705922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11282615, s2 = 10682149, dlinesl.size( ) = 56 s1 = 11282931, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11283195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283195, s2 = 14200141, int(edited[s2]) = 0 s1 = 11283195, s2 = 14200141, d1 = 72, d2 = 66 Dl.O(d1) = 257267202 Dl.O(d2) = 255306544 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14200142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14200142, s2 = 11283196, int(edited[s2]) = 0 s1 = 14200142, s2 = 11283196, d1 = 7, d2 = 7 Dl.O(d1) = 255306545,26374369,257267203 Dl.O(d2) = 255306545,26374369,257267203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14200142, s2 = 11283196, dlinesl.size( ) = 2 s1 = 14200142, s2 = 11283196, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14200142, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11283231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283231, s2 = 11604734, int(edited[s2]) = 0 s1 = 11283231, s2 = 11604734, d1 = 29, d2 = 23 Dl.O(d1) = 261255869,154103895,273554458,201215689,274103533 Dl.O(d2) = 266737471,266857617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283231, s2 = 11604734, dlinesl.size( ) = 20 s1 = 11283259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283259, s2 = 11237274, int(edited[s2]) = 0 s1 = 11283259, s2 = 11237274, d1 = 31, d2 = 21 Dl.O(d1) = 261733530,270845200,71040587,269311169,10620690,8599214,8599216,12663732,17880100,13579171,9297812,9297811,13579170,19024546,25641444,257215107 Dl.O(d2) = 106015337,261008274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283259, s2 = 11237274, dlinesl.size( ) = 36 s1 = 14668289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15955840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11283621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283621, s2 = 11401548, int(edited[s2]) = 0 s1 = 11283621, s2 = 11401548, d1 = 1, d2 = 10 Dl.O(d1) = 115291964 Dl.O(d2) = 166915545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283621, s2 = 11401548, dlinesl.size( ) = 22 s1 = 14200155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11897968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11283735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283735, s2 = 11253578, int(edited[s2]) = 0 s1 = 11283735, s2 = 11253578, d1 = 89, d2 = 72 Dl.O(d1) = 262791937,263609309,264270623,264802701,274287597,265592715 Dl.O(d2) = 272596980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283735, s2 = 11253578, dlinesl.size( ) = 34 s1 = 14939107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11283789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283789, s2 = 10592389, int(edited[s2]) = 0 s1 = 11283789, s2 = 10592389, d1 = 12, d2 = 9 Dl.O(d1) = 257939566,256770628,65539230,65539231,78874358,79626465,70242213,57565682,57565683,70242216,83763377,73786826,73777927,61007660,49569043,49569044,58431804,58431810,57629936,46285143,36431998,34892983,26831804,26817475,19953913,14288756,14288760,9830765,6457974,4047985 Dl.O(d2) = 8946627,8946624,5839900,3644485,3644482,5839839,5839843,8946569,12731603,8651280,5627063,5627068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283789, s2 = 10592389, dlinesl.size( ) = 16 s1 = 10592388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13595362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3480794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11284383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284383, s2 = 14191617, int(edited[s2]) = 0 s1 = 11284383, s2 = 14191617, d1 = 17, d2 = 24 Dl.O(d1) = 115736286,127388005 Dl.O(d2) = 31187570,39870123,49892246,59822571,59822572,59822569,48436514,38528484,29962808,22598281,16415273,11431260,11431259,16415271,22598278,29962805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284383, s2 = 14191617, dlinesl.size( ) = 20 s1 = 11284501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284501, s2 = 11531236, int(edited[s2]) = 0 s1 = 11284501, s2 = 11531236, d1 = 22, d2 = 51 Dl.O(d1) = 259318056,142991119 Dl.O(d2) = 195037971,262666220,177672033,167172894,155540359,142991118,142991120,155540362,167172898,177672039,273574435,228678615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284501, s2 = 11531236, dlinesl.size( ) = 48 s1 = 11284593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284593, s2 = 15408014, int(edited[s2]) = 0 s1 = 11284593, s2 = 15408014, d1 = 2, d2 = 6 Dl.O(d1) = 256736118 Dl.O(d2) = 123520573,123520572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284593, s2 = 15408014, dlinesl.size( ) = 2 s1 = 11284593, s2 = 15408014, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11284593, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15408013, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11284765, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11284925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284925, s2 = 11279446, int(edited[s2]) = 0 s1 = 11284925, s2 = 11279446, d1 = 6, d2 = 7 Dl.O(d1) = 258906040,258253149,260115039 Dl.O(d2) = 262361204,260854368,143056759,259014294,87808236,256628854,39931766,31260909,31260910,31239984,31239983,31255950,31255949,23776641,23776640,31261749,28492907,21276045,17429339,12284788,8296381,5352118,3289355,1934374,1934378,3289373,5352158,8296460,12284931,12284947,17429594,23756348,31240140,39915609,268942592,50716250,50716251,62242517,53528855,53528854,65553665,78888607,92998833,107407328,261504235,161274867,172475021,263768889,201372187,194348158,186147361,176737772,166102732,262577852,141706234,128358235,114481559,100456420,86497965,72901515,257569809,38850289,255945221,16641934,11609853,7729677,7729678,4894109,4894112,7731046,7617929,5562406,5562407,7590315,7590314,7741017,4901553,2954186,1713060,973448,973450,1713068,2954199,2897690,1681362,956281,956280,1681358,2897681,4807946,7600096,11431615,255481639,29963313,256962585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284925, s2 = 11279446, dlinesl.size( ) = 8 s1 = 11285193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285193, s2 = 11457204, int(edited[s2]) = 0 s1 = 11285193, s2 = 11457204, d1 = 13, d2 = 3 Dl.O(d1) = 101852154,101852153,115898316,129798577,143130848,155684679,167319029,167319028,155684676,143130841,143130842,129798574,129798562,129798563 Dl.O(d2) = 3445390,5560932,8564303,12616787,17819847,24188317,31695944,40388650,257679241,74706060,88333619,102329432,116421909,130258771,143587024,156122900,167726889,167726888,167726887,167726891,156122896,156122897,156122895,156122897,167726886,156122893,156122894,167726887,167726890,156122896,156122897,167726886,156122899,156122900,167726889,272614995,130258770,130258771,143587024,156122900,262365775,156122898,167726893,178182475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285193, s2 = 11457204, dlinesl.size( ) = 2 s1 = 11285193, s2 = 11457204, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11285193, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 11285209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285209, s2 = 14062870, int(edited[s2]) = 0 s1 = 11285209, s2 = 14062870, d1 = 4, d2 = 23 Dl.O(d1) = 101855114 Dl.O(d2) = 87882051,74279704,257806782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285209, s2 = 14062870, dlinesl.size( ) = 26 s1 = 11285229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285229, s2 = 14133096, int(edited[s2]) = 0 s1 = 11285229, s2 = 14133096, d1 = 23, d2 = 16 Dl.O(d1) = 261289787,261719978,177820416,263150832 Dl.O(d2) = 263900074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285229, s2 = 14133096, dlinesl.size( ) = 26 s1 = 11285273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11285343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285343, s2 = 8411020, int(edited[s2]) = 0 s1 = 11285343, s2 = 8411020, d1 = 8, d2 = 49 Dl.O(d1) = 115936564 Dl.O(d2) = 261140055,261785466,261689273,260664332,99343906,258824220,29187712,29187713,37748827,39136556,30537579,23118720,16859140,11791602,7873968,7873969,11791604,11791588,7873960,7873962,11791593,16859121,23118698,30537559,23118709,255781420,13082475,8914848,8319410,8319409,8914444,5818041,3629336,3629298,2167626,1254544,1254543,2167622,3629291,5817989,8915036,5817807,3629159,2167537,2167536,3629156,5817802,8915014,8914927,267784290,8914503,13082092,8915101,8915019,5818028,3629326,3629327,5818031,8914716,5818058,3629346,2167658,1254559,713530,403090,225692,124199,124198,225687,403081,713514,1254532,2167359,3628873,3629228,3629207,2167572,2167573,2167334,2167335,3628834,5817343,3629021,2167451,1254451,1254450,2167446,3629016,2167532,1254490,1254489,2167528,3629140,3629141,5817721,8914481,5817371,5817370,254320870,8915321,8915322,8914722,5817558,3628980,2167426,2167424,3628976,3629179,3629059,3628923,2167393,1254420,713465,713464,1254444,2167437,3629000,3628970,3628971,5817346,3629169,3629170,5817813,5818032,8915153,5817906,3629242,2167598,2167600,3628974,3628973,5817434,3628886,2167364,1254406,713443,713442,1254402,2167358,3628867,5817407,8914476,5817367,5817366,8914473,5817820,3629174,3629175,5817821,8915047,13082678,18418822,13082680,13082681,18418828,24930095,20803839,18418246,18418245,24338808,17948573,12718628,8641951,8641952,12718630,17948575,20804260,14909948,10252115,254985668,13082085,13082084,18418182,24929397,18418158,17948599,12718644,8641960,254423733,2074135,2074134,254423731,8641958,12718640,17948593,24338834,31688764,31688763,24338828,17948587,17948588,24338830,31688770,40382431,35348015,35348016,27968060,20805202,268061748,36426916,46280019,51737281,41468249,32591236,24929628,254320846,36424098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285343, s2 = 8411020, dlinesl.size( ) = 48 s1 = 11285407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285407, s2 = 11651120, int(edited[s2]) = 0 s1 = 11285407, s2 = 11651120, d1 = 23, d2 = 28 Dl.O(d1) = 115946168,261293079 Dl.O(d2) = 263628043,273861691,193717639,264208923,273861691,263138723,262220849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285407, s2 = 11651120, dlinesl.size( ) = 30 s1 = 11285725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285725, s2 = 11020700, int(edited[s2]) = 0 s1 = 11285725, s2 = 11020700, d1 = 25, d2 = 38 Dl.O(d1) = 263639400 Dl.O(d2) = 61778729,50299449,50299450,47798691,255857006,30879261,28960213,23744449,17419317,12277393,12277394,17419326,17419177,17419175,17419264,17418970,17418969,14102148,14102147,19672271,19672280,26406671,34281411,31250544,23766040,17438087,12578407,12578406,17773561,23744097,31227806,31227893,31594565,24091137,17733592,17733594,24091144,23766000,23766001,28666755,28666752,29810996,29810998,34281476,30188241,22798595,22798596,22444065,22444062,29810955,28782074,21518807,15507703,15507702,17419259,17419260,17419301,17419304,17418955,12277191,11603230,7724262,7724263,11603238,16634072,22860412,23744185,17783974,12586587,12586588,17783966,24151157,29168914,21859557,21386466,15402945,15402947,21386471,28624090,32133040,40910730,37188027,28666791,21420519,15429641,10666746,10666744,15429627,21420498,28666765,37028315,31279535,31279532,37136940,28624131,28624132,25240623,23744212,23744210,23744226,17419159,17419158,22942220,16706371,11665985,11665984,16706363,22942205,24294716,17912508,12690571,8621029,255205395,24294665 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286263, s2 = 11009290, int(edited[s2]) = 0 s1 = 11286263, s2 = 11009290, d1 = 13, d2 = 8 Dl.O(d1) = 258900979 Dl.O(d2) = 256539184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286263, s2 = 11009290, dlinesl.size( ) = 14 s1 = 11286545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11286631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286631, s2 = 11146246, int(edited[s2]) = 0 s1 = 11286631, s2 = 11146246, d1 = 7, d2 = 8 Dl.O(d1) = 258908677 Dl.O(d2) = 269802958,12591162,8542566,5540230,254611123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286631, s2 = 11146246, dlinesl.size( ) = 12 s1 = 11286643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286643, s2 = 11658922, int(edited[s2]) = 0 s1 = 11286643, s2 = 11658922, d1 = 25, d2 = 26 Dl.O(d1) = 273393055 Dl.O(d2) = 263785138,55639515,46201221,46201220,57514185,70179542,78841547,92948301,259324756,28311556,36808369,28311537,21101325,15157272,15157273,21101330,16377847,16377848,255918335,31356670,31355765,255984258,12353512,8346287,8346288,12353516,12353602,8346338,5387025,5387026,8346340,12353604,12353409,12353408,17518218,23862083,31355752,40035658,31356519,31355643,23862864,23862319,17518403,12353520,268081680,17518964,17518965,23862996,22821550,22821551,17518887,254762160,23863127,23861945,23861944,17518978,12353880,12353879,17518467,17518681,12353692,12353693,17518684,23862522,17518570,12353620,12353617,12353962,8346563,8346562,12353960,17519080,257069675 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286715, s2 = 10697034, int(edited[s2]) = 0 s1 = 11286715, s2 = 10697034, d1 = 29, d2 = 56 Dl.O(d1) = 260513772 Dl.O(d2) = 271981347,272696007,159194886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286715, s2 = 10697034, dlinesl.size( ) = 12 s1 = 11286807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286807, s2 = 14200333, int(edited[s2]) = 0 s1 = 11286807, s2 = 14200333, d1 = 0, d2 = 0 Dl.O(d1) = 260748121,143597268,156132050,167735248,178190134,187415372,195442388,273442170,190229486 Dl.O(d2) = 260748121,143597268,156132050,167735248,178190134,187415372,195442388,273442170,190229486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286807, s2 = 14200333, dlinesl.size( ) = 2 s1 = 11286807, s2 = 14200333, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11286807, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14200334, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11287415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287415, s2 = 11298436, int(edited[s2]) = 0 s1 = 11287415, s2 = 11298436, d1 = 20, d2 = 18 Dl.O(d1) = 262846343,262802611,262802609 Dl.O(d2) = 155547534,261279577,259494179,74152464,61372147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287415, s2 = 11298436, dlinesl.size( ) = 12 s1 = 11287423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287423, s2 = 10496616, int(edited[s2]) = 0 s1 = 11287423, s2 = 10496616, d1 = 20, d2 = 21 Dl.O(d1) = 258923141 Dl.O(d2) = 268139164,2070964,1189395,668550,371110,371113,208996,120908,120906,111895,61338,35498,35494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287423, s2 = 10496616, dlinesl.size( ) = 28 s1 = 11287555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287555, s2 = 14104400, int(edited[s2]) = 0 s1 = 11287555, s2 = 14104400, d1 = 1, d2 = 1 Dl.O(d1) = 102586932,257826882,74934922,62127995,50626344,40582615,268152958,17960681,12727743,12727744,10614959,7004807,5977560,5977557,9134486,11002918,10636569,10636572,11005272,15876366,14205306,14205305,10627107,254498212,255029742,9136548,9136547,13368485,18772505,256120551,32307992,38481298,29921238,22561979,20069403,14385608,14385607,16777495,15718636,255107394,8238445,5310869,5310870,6485119,5310811,5310812,8238364,12206588,10503770,10503769,7832487,4971836,3003014,1743985,1743987,3003017,4971845,6488672,6488670,6479872,6479871,6489524,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454019,255908,255906,454006,801192,1408188,2435034,254469657,9884328,254869524,6422998,6422999,6494022,6494020,4071238,2436132,1408781,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538371,4533236,2725003,2725001,4531979,6496742,6496743,9887663,9892858,6500848,6500849,9892861,9893914,6501721,6501722,9893919,14388158,14364215,12514470,12514471,14362903,11731836,9891517,267871123,2437048,1409207,801714,801716,1409216,2437074,4072869,6499870,9883052,6493379,6493378,9883047,8309148,8309149,12302219,15731045,11566104,9882537,9882536,14376562,12302204,8309130,8309133,8309246,5361493,3295938,1938500,1107283,621356,621359,1107291,1938518,3295973,5361567,8309291,9891224,6499599,4072717,2437003,2437004,4072722,6499611,9866453,8297798,8297797,9887284,9887277,9887276,9887407,14354528,14354359,9890750,9890751,10894850,15731369,14387065,9892702,6500691,6500689,9892698,10813219,10813220,7207040,7207042,9890876,7207017,7207021,268077603,9875944,6487967,6487965,9875936,11571663,10894861,7205477,254748317,4536910,4536911,7201147,10889415,15725424,15182263,10472332,6905001,5562459,4062775,2431454,2431456,2728204,2728203,4538946,4874107,4070524,2435750,2435749,4070521,6496097,7701414,6495673,6495672,6496183,4070583,2435779,1408613,801423,454131,454132,801428,1408626,2435803,4070626,4538074,7203047,10891857,14371701,14371700,17967648,24362989,20049376,15729073,10892413,10892412,15729071,18917503,13486338,255265143,16014280,11118733,9883447,6493671,4068921,4068922,6493672,8238446,6485119,5310811,5310812,254839933,7146357,4873943,4499290,2703537,1566575,890803,502666,502665,890732,890731,1566427,2703218,4498739,4499430,7145556,6504803,4076116,4076115,6504800,6504711,6504712,9897593,9898534,8613405,8613404,9890391,6498956,4072288,2436728,267817555,6498960,9890382,9890550,6499090,6499089,9890549,9877459,6489100,6489099,7893878,7893879,6494587,6494586,9884610,9897218,9874477,6486922,4064742,2432461,2432460,2439285,1410328,1410327,2439284,4076829,6505841,9898937,7196114,7196115,10812993,10812994,11841501,7913737,7913738,11841503,254807885,4972251,3003252,1744107,991032,991033,1744109,3003258,4972261,7833057,11732361,14372128,14355550,9870826,6484331,4063248,4063247,6484327,9870821,12514470,8478156,8478158,9864493,9864465,6479755,4060455,4060454,6479754,9864462,11922595,11922596,10813446,10813447,255418403,16373559,20066142,14382105,9887705,6496777,6496778,7571320,9870039,9870040,9897359,9891484,9891486,7697646,7697647,9891356,7699882,7699881,8309133,8309246,5361493,3295938,1938500,1107283,621356,621359,1107291,1938517,3295968,5361555,8309328,12302421,14391711,10812710,9873675,9873674,11589700,11589698,14371704,14371703,12302395,9877717,9877716,14371691,20041449,17451751,17451752,20074528,22345882,16196290,255466593,20059341,14395672,9901861,9901860,14363021,20048777,14392826,14367313,9873486,6486162,4064300,4064301,6486168,6500714,4073409,4062987,4062986,6483923,6505708,6505707,9892387,9892388,9900605,14374327,14372000,9878039,6489538,4066337,4066336,6489535,9878035,7144908,7144909,7204744,9897567,6504701,6484173,4063152,4063153,6484180,9870612,14364014,14371941,14371940,14387562,9893270,9893272,10889659,9870535,6484112,4063114,2431657,2431656,4063102,6484098,9870522,14363926,14375150,10814502,7146826,4500279,4053089,4053088,6468500,9848532,6479762,6479761,7976699,5076167,3078338,3078339,5076169,4071129,4071131,6497066,6480504,6480506,9865446,9889000,14374948,9880935,6491727,6491726,9880932,9873398,9873397,14367237,14379276,9885204,9885205,7198857,7198858,6535156,4094674,4073435,2437368,1409358,1409361,2437395,4073501,5030103,6549437,9965159,14372128,14372129,15627150,15627151,12287055,12287058,14367980,12714146,8638709,6489384,6489381,7832997,7832996,11732303,15730996,10894357,10894356,15723071,15723070,14361856,14361857,10763069,7111473,4477641,2690268,2690267,4477640,7111471,10763066,15560745,21585502,256118114,16808057,15222495,10500413,268067785,21184089,28405122,256842773,58147783,70861808,67831369,55490150,44640226,255666004,20245031,14527199,14527198,15368987,15368988,13350641,9122899,6530812,4092086,4092085,6530809,9936515,6994071,4395447,4395448,6994073,10600863,15346749,19445202,17927385,15354754,10607728,6999089,4398589,4398591,4398742,6999342,10608036,12788638,12788636,14444281,14444277,12788677,8694136,5658599,3518954,3518953,5658593,7132061,7132058,9936285,6530629,6530628,8829337,12971400,10607410,6998863,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,8707479,5668668,5668667,8707497,12806230,15354532,18063004,18063019,18063018,20111336,14422586,9921019,6520464,4085513,4085514,3738681,2238346,1298029,1298030,2238348,3738690,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634475,4396337,4085918,2444508,1413403,1413404,2444512,4085926,6521103,9384939,13349638,14458797,20155058,19186581,13702510,13702509,14528123,14421692,9920193,6519865,6519863,9920190,13350808,9123093,5969747,3733311,2235262,1296328,1296330,254297831,5765769,5647846,3511092,2087474,1200302,675888,376023,376026,378873,378876,214976,117835,64458,64459,68400,126049,228845,407691,720304,254200817,1263966,720299,720298,1263964,2180939,3648397,5846424,8957023,5846436,3648404,3648403,5846433,8957036,255239791,25030056,32716061,41621651,269485009,76837042,90707677,104877762,119063728,132885183,272687395,262905197,263697245,203370806,208938076,213511692,217258118,220377851,223026487,225311050,227296708,227296711,227296710,265753854,228075429,226219689,224087997,221630014,218767410,215376904,211274038,206252790,200180260,263485449,175004756,164189153,152305964,139576205,126200932,112340470,112340471,260506359 Dl.O(d2) = 102586932,257826882,74934922,62127995,50626344,40582615,268152958,17960681,12727743,12727744,10614959,7004807,5977560,5977557,9134486,11002918,10636569,10636572,11005272,15876366,14205306,14205305,10627107,254498212,255029742,9136548,9136547,13368485,18772505,256120551,32307992,38481298,29921238,22561979,20069403,14385608,14385607,16777495,15718636,255107394,8238445,5310869,5310870,6485119,5310811,5310812,8238364,12206588,10503770,10503769,7832487,4971836,3003014,1743985,1743987,3003017,4971845,6488672,6488670,6479872,6479871,6489524,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434555,4068225,2434349,2434347,1408234,801221,454019,255908,255906,454006,801192,1408188,2435034,254469657,9884328,254869524,6422998,6422999,6494022,6494020,4071238,2436132,1408781,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538371,4533236,2725003,2725001,4531979,6496742,6496743,9887663,9892858,6500848,6500849,9892861,9893914,6501721,6501722,9893919,14388158,14364215,12514470,12514471,14362903,11731836,9891517,267871123,2437048,1409207,801714,801716,1409216,2437074,4072869,6499870,9883052,6493379,6493378,9883047,8309148,8309149,12302219,15731045,11566104,9882537,9882536,14376562,12302204,8309130,8309133,8309246,5361493,3295938,1938500,1107283,621356,621359,1107291,1938518,3295973,5361567,8309291,9891224,6499599,4072717,2437003,2437004,4072722,6499611,9866453,8297798,8297797,9887284,9887277,9887276,9887407,14354528,14354359,9890750,9890751,10894850,15731369,14387065,9892702,6500691,6500689,9892698,10813219,10813220,7207040,7207042,9890876,7207017,7207021,268077603,9875944,6487967,6487965,9875936,11571663,10894861,7205477,254748317,4536910,4536911,7201147,10889415,15725424,15182263,10472332,6905001,5562459,4062775,2431454,2431456,2728204,2728203,4538946,4874107,4070524,2435750,2435749,4070521,6496097,7701414,6495673,6495672,6496183,4070583,2435779,1408613,801423,454131,454132,801428,1408626,2435803,4070626,4538074,7203047,10891857,14371701,14371700,17967648,24362989,20049376,15729073,10892413,10892412,15729071,18917503,13486338,255265143,16014280,11118733,9883447,6493671,4068921,4068922,6493672,8238446,6485119,5310811,5310812,254839933,7146357,4873943,4499290,2703537,1566575,890803,502666,502665,890732,890731,1566427,2703218,4498739,4499430,7145556,6504803,4076116,4076115,6504800,6504711,6504712,9897593,9898534,8613405,8613404,9890391,6498956,4072288,2436728,267817555,6498960,9890382,9890550,6499090,6499089,9890549,9877459,6489100,6489099,7893878,7893879,6494587,6494586,9884610,9897218,9874477,6486922,4064742,2432461,2432460,2439285,1410328,1410327,2439284,4076829,6505841,9898937,7196114,7196115,10812993,10812994,11841501,7913737,7913738,11841503,254807885,4972251,3003252,1744107,991032,991033,1744109,3003258,4972261,7833057,11732361,14372128,14355550,9870826,6484331,4063248,4063247,6484327,9870821,12514470,8478156,8478158,9864493,9864465,6479755,4060455,4060454,6479754,9864462,11922595,11922596,10813446,10813447,255418403,16373559,20066142,14382105,9887705,6496777,6496778,7571320,9870039,9870040,9897359,9891484,9891486,7697646,7697647,9891356,7699882,7699881,8309133,8309246,5361493,3295938,1938500,1107283,621356,621359,1107291,1938517,3295968,5361555,8309328,12302421,14391711,10812710,9873675,9873674,11589700,11589698,14371704,14371703,12302395,9877717,9877716,14371691,20041449,17451751,17451752,20074528,22345882,16196290,255466593,20059341,14395672,9901861,9901860,14363021,20048777,14392826,14367313,9873486,6486162,4064300,4064301,6486168,6500714,4073409,4062987,4062986,6483923,6505708,6505707,9892387,9892388,9900605,14374327,14372000,9878039,6489538,4066337,4066336,6489535,9878035,7144908,7144909,7204744,9897567,6504701,6484173,4063152,4063153,6484180,9870612,14364014,14371941,14371940,14387562,9893270,9893272,10889659,9870535,6484112,4063114,2431657,2431656,4063102,6484098,9870522,14363926,14375150,10814502,7146826,4500279,4053089,4053088,6468500,9848532,6479762,6479761,7976699,5076167,3078338,3078339,5076169,4071129,4071131,6497066,6480504,6480506,9865446,9889000,14374948,9880935,6491727,6491726,9880932,9873398,9873397,14367237,14379276,9885204,9885205,7198857,7198858,6535156,4094674,4073435,2437368,1409358,1409361,2437395,4073501,5030103,6549437,9965159,14372128,14372129,15627150,15627151,12287055,12287058,14367980,12714146,8638709,6489384,6489381,7832997,7832996,11732303,15730996,10894357,10894356,15723071,15723070,14361856,14361857,10763069,7111473,4477641,2690268,2690267,4477640,7111471,10763066,15560745,21585502,256118114,16808057,15222495,10500413,268067785,21184089,28405122,256842773,58147783,70861808,67831369,55490150,44640226,255666004,20245031,14527199,14527198,15368987,15368988,13350641,9122899,6530812,4092086,4092085,6530809,9936515,6994071,4395447,4395448,6994073,10600863,15346749,19445202,17927385,15354754,10607728,6999089,4398589,4398591,4398742,6999342,10608036,12788638,12788636,14444281,14444277,12788677,8694136,5658599,3518954,3518953,5658593,7132061,7132058,9936285,6530629,6530628,8829337,12971400,10607410,6998863,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,6530941,4092168,4092164,5845747,8707479,5668668,5668667,8707497,12806230,15354532,18063004,18063019,18063018,20111336,14422586,9921019,6520464,4085513,4085514,3738681,2238346,1298029,1298030,2238348,3738690,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634475,4396337,4085918,2444508,1413403,1413404,2444512,4085926,6521103,9384939,13349638,14458797,20155058,19186581,13702510,13702509,14528123,14421692,9920193,6519865,6519863,9920190,13350808,9123093,5969747,3733311,2235262,1296328,1296330,254297831,5765769,5647846,3511092,2087474,1200302,675888,376023,376026,378873,378876,214976,117835,64458,64459,68400,126049,228845,407691,720304,254200817,1263966,720299,720298,1263964,2180939,3648397,5846424,8957023,5846436,3648404,3648403,5846433,8957036,255239791,25030056,32716061,41621651,269485009,76837042,90707677,104877762,119063728,132885183,272687395,262905197,263697245,203370806,208938076,213511692,217258118,220377851,223026487,225311050,227296708,227296711,227296710,265753854,228075429,226219689,224087997,221630014,218767410,215376904,211274038,206252790,200180260,263485449,175004756,164189153,152305964,139576205,126200932,112340470,112340471,260506359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287555, s2 = 14104400, dlinesl.size( ) = 2 s1 = 11287555, s2 = 14104400, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11287555, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 11287569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11287709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287709, s2 = 11126544, int(edited[s2]) = 0 s1 = 11287709, s2 = 11126544, d1 = 6, d2 = 5 Dl.O(d1) = 102696054 Dl.O(d2) = 55199374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287709, s2 = 11126544, dlinesl.size( ) = 12 s1 = 15120791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8624839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8624839, s2 = 3814702, int(edited[s2]) = 0 s1 = 8624839, s2 = 3814702, d1 = 214, d2 = 80 Dl.O(d1) = 167215055,177713181,186993148,190296848,181517076,272642740,261884360,148067218 Dl.O(d2) = 171516728,160312341,148067228,134943182,134943181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288161, s2 = 11298128, int(edited[s2]) = 0 s1 = 11288161, s2 = 11298128, d1 = 9, d2 = 13 Dl.O(d1) = 261356787 Dl.O(d2) = 166108380,154362126,261007216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288161, s2 = 11298128, dlinesl.size( ) = 8 s1 = 11288225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288225, s2 = 712952, int(edited[s2]) = 0 s1 = 11288225, s2 = 712952, d1 = 105, d2 = 89 Dl.O(d1) = 270059540,268300101 Dl.O(d2) = 254432918,18181664,18181663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288225, s2 = 712952, dlinesl.size( ) = 26 s1 = 11288357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288357, s2 = 11507838, int(edited[s2]) = 0 s1 = 11288357, s2 = 11507838, d1 = 0, d2 = 13 Dl.O(d1) = 117625609 Dl.O(d2) = 262401871,264593603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288357, s2 = 11507838, dlinesl.size( ) = 14 s1 = 11288365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288365, s2 = 11531404, int(edited[s2]) = 0 s1 = 11288365, s2 = 11531404, d1 = 33, d2 = 23 Dl.O(d1) = 262401913,263287937,273599820,263667584,217597574,220655505,223256644,265065048,229174892 Dl.O(d2) = 234348099,234839042,274632115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288365, s2 = 11531404, dlinesl.size( ) = 22 s1 = 11288443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288443, s2 = 11112902, int(edited[s2]) = 0 s1 = 11288443, s2 = 11112902, d1 = 10, d2 = 12 Dl.O(d1) = 259954706 Dl.O(d2) = 257476724,32326998,24711709,256079273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288443, s2 = 11112902, dlinesl.size( ) = 14 s1 = 11288579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288579, s2 = 11263586, int(edited[s2]) = 0 s1 = 11288579, s2 = 11263586, d1 = 12, d2 = 6 Dl.O(d1) = 257728970 Dl.O(d2) = 140565245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288579, s2 = 11263586, dlinesl.size( ) = 14 s1 = 8687127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11288789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288789, s2 = 11588886, int(edited[s2]) = 0 s1 = 11288789, s2 = 11588886, d1 = 11, d2 = 7 Dl.O(d1) = 259113126,145062137 Dl.O(d2) = 238250185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288789, s2 = 11588886, dlinesl.size( ) = 8 s1 = 11288849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288849, s2 = 14098774, int(edited[s2]) = 0 s1 = 11288849, s2 = 14098774, d1 = 1, d2 = 1 Dl.O(d1) = 103860038,118004570,118004569,131831827,145090706,157525301,262881099,188325701,196208588,202952899,264049302,217053086,216856787,212996492,212996493,273230436,212996499,216856791,216856789,212996494,208274368,202547944,202547945,262461752,262461754,208274370,212996498,216856790,216856791,216856789,262461756,202547948,195732534,195732533,202547945,208274369,212996496,208274373,261425612,178635546,178635544 Dl.O(d2) = 103860038,118004570,118004569,131831827,145090706,157525301,262881099,188325701,196208588,202952899,264049302,217053086,216856787,212996492,212996493,273230436,212996499,216856791,216856789,212996494,208274368,202547944,202547945,262461752,262461754,208274370,212996498,216856790,216856791,216856789,262461756,202547948,195732534,195732533,202547945,208274369,212996496,208274373,261425612,178635546,178635544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288849, s2 = 14098774, dlinesl.size( ) = 2 s1 = 11288849, s2 = 14098774, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11288849, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14098773, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15120907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15120907, s2 = 2702465, int(edited[s2]) = 0 s1 = 15120907, s2 = 2702465, d1 = 9, d2 = 7 Dl.O(d1) = 170610689,159276094,272982349,146905879,133652917,119782974,259651763,77413163,64263397,52408219,42064557,256123003,18795588,255659971,9152924,5990110,3745566 Dl.O(d2) = 64263399,77413165,91331794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15120907, s2 = 2702465, dlinesl.size( ) = 2 s1 = 15120907, s2 = 2702465, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15120907, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11289135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11289135, s2 = 13297456, int(edited[s2]) = 0 s1 = 11289135, s2 = 13297456, d1 = 27, d2 = 34 Dl.O(d1) = 258973173 Dl.O(d2) = 5649332,8681838,255212061,24434218,21314990,21314991,27030232,20137672,14443754,14443753,20137671,27030231,35116876,33982490,26142719,19445563,19445564,17808128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11289135, s2 = 13297456, dlinesl.size( ) = 2 s1 = 11289135, s2 = 13297456, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11289135, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 13600894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11289175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11289175, s2 = 10540758, int(edited[s2]) = 0 s1 = 11289175, s2 = 10540758, d1 = 3, d2 = 8 Dl.O(d1) = 118217656 Dl.O(d2) = 256915176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11289175, s2 = 10540758, dlinesl.size( ) = 16 s1 = 16355271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15890425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15890425, s2 = 10214005, int(edited[s2]) = 0 s1 = 15890425, s2 = 10214005, d1 = 12, d2 = 24 Dl.O(d1) = 112794464,98801838,84873193,71298727,71298726,71298729,58566698,47177919,47177920 Dl.O(d2) = 106671292,106671297,120923871,120923870,260310295,106671300,259065845,65055646,65055645,78334554,78334551,259694437,106671298,92367414,92367411,78334550,65055641,53073177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15890425, s2 = 10214005, dlinesl.size( ) = 2 s1 = 15890425, s2 = 10214005, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15890425, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 11289641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11289641, s2 = 11095408, int(edited[s2]) = 0 s1 = 11289641, s2 = 11095408, d1 = 16, d2 = 23 Dl.O(d1) = 258531672 Dl.O(d2) = 90285511,257911144,256220458,31254191,23769884,23769885,31254193,39501941,39501940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11289641, s2 = 11095408, dlinesl.size( ) = 24 s1 = 11290093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290093, s2 = 4438723, int(edited[s2]) = 0 s1 = 11290093, s2 = 4438723, d1 = 59, d2 = 35 Dl.O(d1) = 258002532 Dl.O(d2) = 175144166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290093, s2 = 4438723, dlinesl.size( ) = 14 s1 = 11290209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290209, s2 = 13890297, int(edited[s2]) = 0 s1 = 11290209, s2 = 13890297, d1 = 16, d2 = 31 Dl.O(d1) = 260842275,263701159 Dl.O(d2) = 265921355,229050856,274533603,266050899,266274521,266049065,274533605,229050857,274487998,265784655,230609764,274613563,231936642,274533607,227322344,229050859,230576873,230576876,231936645,231936640,265921357,229050858,229050859,230576874,266049067,227322346,227322345,229050860,230576870,274648174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290209, s2 = 13890297, dlinesl.size( ) = 24 s1 = 11290605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290605, s2 = 8493992, int(edited[s2]) = 0 s1 = 11290605, s2 = 8493992, d1 = 22, d2 = 26 Dl.O(d1) = 260168688 Dl.O(d2) = 261682090,164136063,260554982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290605, s2 = 8493992, dlinesl.size( ) = 8 s1 = 13633211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14200536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13495825, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8425592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8425592, s2 = 3368178, int(edited[s2]) = 0 s1 = 8425592, s2 = 3368178, d1 = 30, d2 = 25 Dl.O(d1) = 259010050,259010052,138786209 Dl.O(d2) = 111654745,111654744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8425592, s2 = 3368178, dlinesl.size( ) = 20 s1 = 11290899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290899, s2 = 11196028, int(edited[s2]) = 0 s1 = 11290899, s2 = 11196028, d1 = 19, d2 = 5 Dl.O(d1) = 259785426,13291756,9074318,5934237,3710525,2222027,1289003,735868,418353,418354,735838,735839,1288943,736314,418575,236275,236274,418572,736309,1289877,2223701,267928565 Dl.O(d2) = 65531009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290899, s2 = 11196028, dlinesl.size( ) = 20 s1 = 11290989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290989, s2 = 11479564, int(edited[s2]) = 0 s1 = 11290989, s2 = 11479564, d1 = 9, d2 = 11 Dl.O(d1) = 260852875 Dl.O(d2) = 262918227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290989, s2 = 11479564, dlinesl.size( ) = 12 s1 = 11900648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11291345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11291345, s2 = 13079121, int(edited[s2]) = 0 s1 = 11291345, s2 = 13079121, d1 = 22, d2 = 47 Dl.O(d1) = 119717332 Dl.O(d2) = 47897791,40304638,257089668,29543857,29543856,22200639,16071650,11160288,254607962,4676795,7402819,255079011,22200628,256388981,48017263,59404248,72134587,85719098,99666642,87122640,87122641,101120610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11291345, s2 = 13079121, dlinesl.size( ) = 20 s1 = 16214377, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11291501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11291501, s2 = 11362238, int(edited[s2]) = 0 s1 = 11291501, s2 = 11362238, d1 = 73, d2 = 123 Dl.O(d1) = 119740157,133613793,119740160,119740161,133613796,133613795 Dl.O(d2) = 18520286,268482467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11291501, s2 = 11362238, dlinesl.size( ) = 50 s1 = 10382806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11291663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11291663, s2 = 10730416, int(edited[s2]) = 0 s1 = 11291663, s2 = 10730416, d1 = 18, d2 = 13 Dl.O(d1) = 119781408,105548276,260268117,260876086,91330603,91330604 Dl.O(d2) = 268145520,9152023,5989391,3745132,2241783,1356675,773606,773603,1356727,2341502,2341369,2341371,2342641,2342644,3913052,3954724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11291663, s2 = 10730416, dlinesl.size( ) = 20 s1 = 11291751, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10701349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10701349, s2 = 1095113, int(edited[s2]) = 0 s1 = 10701349, s2 = 1095113, d1 = 0, d2 = 0 Dl.O(d1) = 259026710,92667277,259654154,272411079,121293485,107000980,92667305,92667304,259654150,135142945,148314994,148314996,261435360,160586662,171785469,261435362,135142955,121293497,107000967,92667295,92667296,107000941,92667272,258742346,65312661,65312660,65312659,65312665,53313151,42850650,33809891,25993660,19322460,19322461,25993661,24349964,17957501,12725310,8646706,8646708,12725315,17957509,24349971,21138994,15188171,10476357,10476353,15188167,21138989,28353014,25468012,18867838,13444520,13444521,18867841,18868845,18868844,25469103,33216011,36850314,33215999,25469092,18868837,13445211,13445210,18868835,25469089,25467849,18868604,13445034,13445031,18868592,14488452,9968779,9968778,14488450,13445261,13445262,18868732,18868731,25468983,25469157,25469158,255665550,25468734,25471043,18870697,13446870,13446871,18870698,25471044,25468760,25468759,25468986,18868741,15701265,15701263,21755412,25468296,25468297,29032777,21741444,21741445,25469238,33215573,33215572,30897423,23464052,17184729,17184727,20192872,20192874,25467647,25467646,31193534,25467820,18867649,13444362,9193432,6018692,3765170,2255946,254299905,6018697,9193446,13444381,13444490,18867801,25467986,25467842,25467840,268020308,25467811,25467812,33214897,267927518,18867498,23704393,25468648,18868420,18868421,25468651,23464039,23464040,28487886,28487885,36984671,34216231,254614504,30050696,30050697,31185333,24008965,24008966,26588726,34575869,38943123,48862795,52534001,52534000,49919343,39899647,39899646,33217935,25471248,18870952,17373588,12241698,8267128,8267130,12241685,17373571,254907070,268924665,254505319,2691385,1707950,1707946,267833251 Dl.O(d2) = 259026710,92667277,259654154,272411079,121293485,107000980,92667305,92667304,259654150,135142945,148314994,148314996,261435360,160586662,171785469,261435362,135142955,121293497,107000967,92667295,92667296,107000941,92667272,258742346,65312661,65312660,65312659,65312665,53313151,42850650,33809891,25993660,19322460,19322461,25993661,24349964,17957501,12725310,8646706,8646708,12725315,17957509,24349971,21138994,15188171,10476357,10476353,15188167,21138989,28353014,25468012,18867838,13444520,13444521,18867841,18868845,18868844,25469103,33216011,36850314,33215999,25469092,18868837,13445211,13445210,18868835,25469089,25467849,18868604,13445034,13445031,18868592,14488452,9968779,9968778,14488450,13445261,13445262,18868732,18868731,25468983,25469157,25469158,255665550,25468734,25471043,18870697,13446870,13446871,18870698,25471044,25468760,25468759,25468986,18868741,15701265,15701263,21755412,25468296,25468297,29032777,21741444,21741445,25469238,33215573,33215572,30897423,23464052,17184729,17184727,20192872,20192874,25467647,25467646,31193534,25467820,18867649,13444362,9193432,6018692,3765170,2255946,254299905,6018697,9193446,13444381,13444490,18867801,25467986,25467842,25467840,268020308,25467811,25467812,33214897,267927518,18867498,23704393,25468648,18868420,18868421,25468651,23464039,23464040,28487886,28487885,36984671,34216231,254614504,30050696,30050697,31185333,24008965,24008966,26588726,34575869,38943123,48862795,52534001,52534000,49919343,39899647,39899646,33217935,25471248,18870952,17373588,12241698,8267128,8267130,12241685,17373571,254907070,268924665,254505319,2691385,1707950,1707946,267833251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10701349, s2 = 1095113, dlinesl.size( ) = 2 s1 = 10701349, s2 = 1095113, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 10701349, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11291871, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11291929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11291929, s2 = 16372560, int(edited[s2]) = 0 s1 = 11291929, s2 = 16372560, d1 = 45, d2 = 133 Dl.O(d1) = 261438161 Dl.O(d2) = 265834544,226135399,223996130,264946178,264449700,205989441,199842347,192570077,263070213,174470145,184119144,187474018,187474017,261617914,260486284,143692948,130366222,258014058,62001038,50509604,40474270,40474269,50509602,58382647,257329002,28613614,37124495,28613590,21377890,15396054,15396055,21377891,28613592,37124498,47011496,58382605,53824690,43299531,34201499,34201500,43299532,53078255,257224592,71099197,84662180,98585760,258700618,101822445,90094660,79255070,65892277,65892279,73309496,63263121,59168430,47769794,37847035,29279627,29279626,37847032,47769790,59168425 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14200623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292207, s2 = 11023574, int(edited[s2]) = 0 s1 = 11292207, s2 = 11023574, d1 = 13, d2 = 7 Dl.O(d1) = 105847892 Dl.O(d2) = 64532201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292207, s2 = 11023574, dlinesl.size( ) = 14 s1 = 11292253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292281, s2 = 14360553, int(edited[s2]) = 0 s1 = 11292281, s2 = 14360553, d1 = 9, d2 = 14 Dl.O(d1) = 105864396 Dl.O(d2) = 33282113,33282114,42261874,52647504,257828494,257828492,257248170,32346312,24730783,18257879,12954559,8815167,268013757,8807637,5737417,3572633,3572634,3574850,5741077,4505803,2707687,2707693,2708315,2708321,2708585,2708586,2263114,2263113,2263188,2263187,3778328,6039581,9016045,9016046,13224516,18606674,254943592,255659754,32358625,32358626,269041797,51360667,60249839,268963143,38938100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292281, s2 = 14360553, dlinesl.size( ) = 14 s1 = 11292467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11901044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292507, s2 = 11405614, int(edited[s2]) = 0 s1 = 11292507, s2 = 11405614, d1 = 2, d2 = 9 Dl.O(d1) = 120118032 Dl.O(d2) = 261447311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292507, s2 = 11405614, dlinesl.size( ) = 8 s1 = 11292637, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11292797, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9770276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9770276, s2 = 4548884, int(edited[s2]) = 0 s1 = 9770276, s2 = 4548884, d1 = 10, d2 = 13 Dl.O(d1) = 181383672,181383663,262943466,261986650,147889800,134771127,120974678,106722518,92416906,78379544,65095694,53108841,53108842,65095698,258421060,106722520 Dl.O(d2) = 134771135,261451970,147889799,134771127,120974678,106722518,92416906,78379544,65095694,53108841,53108842,65095698,258421060,106722520,120974680,134771135,261451970,147889799,134771127,134771126,261451968,171360312,181383658,190187707,181451315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9770276, s2 = 4548884, dlinesl.size( ) = 2 s1 = 9770276, s2 = 4548884, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 9770276, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11292887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292947, s2 = 11048680, int(edited[s2]) = 0 s1 = 11292947, s2 = 11048680, d1 = 14, d2 = 19 Dl.O(d1) = 256677292 Dl.O(d2) = 9320115,13581692,254664728,33412123,42401149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292947, s2 = 11048680, dlinesl.size( ) = 22 s1 = 11292969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292969, s2 = 11496484, int(edited[s2]) = 0 s1 = 11292969, s2 = 11496484, d1 = 17, d2 = 21 Dl.O(d1) = 262486753,181076147,189942583,197587906,204097802 Dl.O(d2) = 264302536,220698406,223296560,265257810,225542541,225542540,265257812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292969, s2 = 11496484, dlinesl.size( ) = 30 s1 = 11293083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293083, s2 = 11478202, int(edited[s2]) = 0 s1 = 11293083, s2 = 11478202, d1 = 2, d2 = 0 Dl.O(d1) = 259891186,95130370 Dl.O(d2) = 263838232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293083, s2 = 11478202, dlinesl.size( ) = 8 s1 = 11293329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293329, s2 = 9098022, int(edited[s2]) = 0 s1 = 11293329, s2 = 9098022, d1 = 0, d2 = 0 Dl.O(d1) = 106180217,256748224,78055684,78055683,91982272,78055685,78055686,91982272,78055685,64858592,52932807,42521972 Dl.O(d2) = 106180217,256748224,78055684,78055683,91982272,78055685,78055686,91982272,78055685,64858592,52932807,42521972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293329, s2 = 9098022, dlinesl.size( ) = 2 s1 = 11293329, s2 = 9098022, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11293329, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 9098023, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11293395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293395, s2 = 10842849, int(edited[s2]) = 0 s1 = 11293395, s2 = 10842849, d1 = 10, d2 = 4 Dl.O(d1) = 260120834,120149514,261984989,273239013,133990795,133990796 Dl.O(d2) = 259505978,147213112,159571942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293395, s2 = 10842849, dlinesl.size( ) = 14 s1 = 11293473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293561, s2 = 11383618, int(edited[s2]) = 0 s1 = 11293561, s2 = 11383618, d1 = 15, d2 = 3 Dl.O(d1) = 261470539 Dl.O(d2) = 169958289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293561, s2 = 11383618, dlinesl.size( ) = 20 s1 = 11293635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293635, s2 = 11044350, int(edited[s2]) = 0 s1 = 11293635, s2 = 11044350, d1 = 8, d2 = 18 Dl.O(d1) = 120966646 Dl.O(d2) = 257859564,46467585,41937582,41937580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293635, s2 = 11044350, dlinesl.size( ) = 8 s1 = 11293737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293755, s2 = 14278143, int(edited[s2]) = 0 s1 = 11293755, s2 = 14278143, d1 = 0, d2 = 0 Dl.O(d1) = 121001232,134797795,147916379,142951309,129624108,129624107,142951307,155500740 Dl.O(d2) = 121001232,134797795,147916379,142951309,129624108,129624107,142951307,155500740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293755, s2 = 14278143, dlinesl.size( ) = 2 s1 = 11293755, s2 = 14278143, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11293755, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11294085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294085, s2 = 11237574, int(edited[s2]) = 0 s1 = 11294085, s2 = 11237574, d1 = 17, d2 = 13 Dl.O(d1) = 106875518,92556445,92556446,79665994,66274618,269154311,43540653,258489707,93773798,270188618,87357235,79773787,66371722,66371720,79773781,84794430,79728892,66825558,66825557,68527630 Dl.O(d2) = 2423367,4047996,2423622,2423618,4048849,4043082,4043079,6447750,9811629,14278655,19936921,26791901,34838186,258517975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294085, s2 = 11237574, dlinesl.size( ) = 18 s1 = 13606230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294169, s2 = 10989088, int(edited[s2]) = 0 s1 = 11294169, s2 = 10989088, d1 = 12, d2 = 23 Dl.O(d1) = 262507799 Dl.O(d2) = 255225622,13045833,8886450,5796153,5796152,8886447,13045822,8886470,5796162,5695055,5695051,254340818,18138331,24581507,28833226,28833225,37373007,47282458,39042626,255421142,23725530,17401650,16031073,16031074,22150433,268063514,31666567,26951920,20067397,14383401,9888955,9888956,256215627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294169, s2 = 10989088, dlinesl.size( ) = 22 s1 = 9111033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15487062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15487062, s2 = 16076013, int(edited[s2]) = 0 s1 = 15487062, s2 = 16076013, d1 = 20, d2 = 16 Dl.O(d1) = 221328290,218421987,214962322,210756222,264164380,192023232,183469423,263078066,162662961 Dl.O(d2) = 261129708,271781494,107800747,93378717,79251576,65888046,53820284,43295381,34197775,26325000,26324999,34197774,43295379,53820281,65888042,73442878,60694868,49293402,39365893,30764286,268662781,60694870,73442876,60694867,49293400,257606429,52812670,42411322,33420353,25651925,25651926,26662124,26662123,34653707,33420323,25651903,25651904,33420325,25651914,19033255,255677933,33420336,25651916,25651917,33420341,42411308,52812658,52812662,64727924,77918128,66940192,66940191,80365654,79143047,65788903,65788904,79143050,93258004,107660390,122034626,130366211,260502258,156223259,161471373,152959965,140269478,140269477,126921342,113067207,99078353,258707277,58863107,47480737,37575024,29028135,29028136,37575027,47480742,58863111,71586677,85154389,258083593,58863106,71586673,85154388,99078350,97895682,97895681,111828363,125643248,125643255,111828367,97895684,84026197,70491680,57791032,46435872,36571261,28099984,20924307,15016691,255005147,6810610,4271637,2553913,1471135,1471134,2553910,4271633,6810602,10344770,15016677,20924287,17801258,12601125,12601126,17801260,22185948,16058883,16058882,22185946,17730506,12616157,8563777,5560573,5560574,8563778,12616152,17819047,12616106,12616105,17819044,24187575,25131455,18578552,18578554,16054824,16054826,22181131,24070171,19700828,19700826,24067789,17711964,12555707,12555711,8512920,5511824,3399302,3399301,5511817,8512910,8512830,5511777,5511778,8512833,8613110,8613113,8510302,5510449,5510454,8510323,7394706,7394707,11149001,12231635,12252729,12252730,17387584,23711104,31199378,39879988,49901140,61381612,74162143,256035538,115784288,129680940,143008625,155556706,167187621,177685044,186964357,195048511,201965325,207783603,212580241,216500787,273749584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15487062, s2 = 16076013, dlinesl.size( ) = 2 s1 = 15487062, s2 = 16076013, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15487062, Dl.E( ) = 28, 1.22e-05 seconds used appending s1 = 11294431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294431, s2 = 11512894, int(edited[s2]) = 0 s1 = 11294431, s2 = 11512894, d1 = 0, d2 = 19 Dl.O(d1) = 121380725 Dl.O(d2) = 264087027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294431, s2 = 11512894, dlinesl.size( ) = 8 s1 = 11294447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294447, s2 = 11264764, int(edited[s2]) = 0 s1 = 11294447, s2 = 11264764, d1 = 20, d2 = 0 Dl.O(d1) = 259083461,258537350,53375266 Dl.O(d2) = 65379322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294447, s2 = 11264764, dlinesl.size( ) = 26 s1 = 11294505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294505, s2 = 10468653, int(edited[s2]) = 0 s1 = 11294505, s2 = 10468653, d1 = 1, d2 = 16 Dl.O(d1) = 121402820 Dl.O(d2) = 204525857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294505, s2 = 10468653, dlinesl.size( ) = 46 s1 = 11294569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294843, s2 = 13011273, int(edited[s2]) = 0 s1 = 11294843, s2 = 13011273, d1 = 8, d2 = 17 Dl.O(d1) = 121798375,259482198 Dl.O(d2) = 64446609,61208493,61208492,73987480,87587655,101550078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294843, s2 = 13011273, dlinesl.size( ) = 2 s1 = 11294843, s2 = 13011273, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11294843, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 11294849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294849, s2 = 12274774, int(edited[s2]) = 0 s1 = 11294849, s2 = 12274774, d1 = 30, d2 = 36 Dl.O(d1) = 121798665,130068483,121798660,121798661,130068489,130068490,258997426,78899301,65564586,53540027,43060700,256139980,255270808,9559149,9559148,13927023,19460751,26160621,26160622,19460753,19460754,26160626,34002392,27966657,256267825,46277877,57622261,70312655,83837463,97695115,83837467,83837466,91784630,87973885,74371998,74371997,74372005,74372004,87973889,259862955,83837448,70312643,57622251,260464621 Dl.O(d2) = 174161533,163310992,163310991,167169666,155536981,262329745,176140900,165461112,153681747,141015496,127667239,127667238,141015495,153681744,165461109,176140898,174200665,163347852,261914486,153681753,141015499,259593848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294849, s2 = 12274774, dlinesl.size( ) = 38 s1 = 11294857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11295079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10207792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10207792, s2 = 13619614, int(edited[s2]) = 0 s1 = 10207792, s2 = 13619614, d1 = 1, d2 = 1 Dl.O(d1) = 146707931,146707932,153567153,140892771,140892770,153567156,153567155,140892769,259731942,99652317,99652316,113665876,127537400,261711333,261511634,153567160,140892773,127537406,113665879,99652318,85703911,72118516,72118517,72118519,259367671,113665881,99652325,258742777,269336939,268632825,22179021,22179020,29521540,256929445,59386976,258742775,259985915,127537410,140892776,140892757,127537394,113665871,270836949,72118512,258742773,259367667,113665869 Dl.O(d2) = 146707931,146707932,153567153,140892771,140892770,153567156,153567155,140892769,259731942,99652317,99652316,113665876,127537400,261711333,261511634,153567160,140892773,127537406,113665879,99652318,85703911,72118516,72118517,72118519,259367671,113665881,99652325,258742777,269336939,268632825,22179021,22179020,29521540,256929445,59386976,258742775,259985915,127537410,140892776,140892757,127537394,113665871,270836949,72118512,258742773,259367667,113665869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10207792, s2 = 13619614, dlinesl.size( ) = 2 s1 = 10207792, s2 = 13619614, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 10207792, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11295413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295413, s2 = 11009030, int(edited[s2]) = 0 s1 = 11295413, s2 = 11009030, d1 = 4, d2 = 12 Dl.O(d1) = 122207475,268037356,12985091,12903768,8777800,5716918,5716917 Dl.O(d2) = 9639774,6336992,6336990,9639766,9639821,14023224,19575343,255285744,47231800,37322908,35021787,35021788,44397202,44397203,35021789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295413, s2 = 11009030, dlinesl.size( ) = 14 s1 = 16184203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11295781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295781, s2 = 11062458, int(edited[s2]) = 0 s1 = 11295781, s2 = 11062458, d1 = 19, d2 = 14 Dl.O(d1) = 108008309,108008311,271126233,90632564,90632565,104803349,115400802,101341200,87354275,73735607,73735608,69319846,56751441,56751440,63428779,67478400,55138318,53978646,45028146,45028144,45251880,35706938,35706941,27490294,20491063,20491060,27490350,34922813,26853613,19979647,255735311,256734523,55132923,67472106,80940850,76473936,63427905,63427903 Dl.O(d2) = 9946591,9946077,9946076,14456995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295781, s2 = 11062458, dlinesl.size( ) = 20 s1 = 8224627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8224627, s2 = 15157556, int(edited[s2]) = 0 s1 = 8224627, s2 = 15157556, d1 = 8, d2 = 6 Dl.O(d1) = 44449248,44449247,55293654,67631647,81097223,95154859,109409626,123602232,137334408 Dl.O(d2) = 255892740,59802679,49108670,49108669,60511797,73258029,86870561,100851485,100851484,100851483,114902178,128799378,258355578,140336909,126982255,113123604,99132827,85210063,71644789,58923645,47542481,37637234,29087481,21790105,254289018,13240410,9030130,5898436,3684290,2205463,2205461,3682752,3682754,3680373,3618022,2160507,2160509,2160309,2160311,1282841,1282839,1282841,1282839,1282855,1282853,1282778,1282773,1284303,2212852,3695665,254294344,13257573,18645133,25209558,32924582,41854238,52178680,64012025,77142811,64012023,64012022,77142808,77142812,91047634,91047632,91047631,105257407,105257406,105257405,119481894,113612402,99597256,85647316,72060196,59325854,59325853,66961534,66961535,59325856,47934095,38020325,38020324,36820556,28325379,21115744,15169676,14508203,9983279,9983280,14508205,20218125,27121483,23933626,17590936,17590937,23933627,21108956,15163199,15163198,21108953,27121374,27121373,254158426,28452087,29728184,22371430,22371429,21208781,15242325,15242326,10515128,10266203,6745964,6745963,10266200,14929396,16107239,16107237,22243969,29592629,30744368,23323490,17058138,17058139,23323495,28072660,30744422,23770216,17442028,12295181,8304251,8304247,9338466,9338470,13637467,17429381,14564637,13063688,13063687,18391801,22770400,22770402,30158524,38741032,37114223,28604841,21370976,15390650,10636366,10636367,15390653,21370980,28604849,31837313,32071622,24499446,24499445,28684664,21434953,15440692,10674894,10674895,15440695,15568803,14538589,14538590,20263584,255170209,12295567,15053396,10379500,6839606,4291495,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097372,9084358,9084356,6773687,6773688,10301370,10301461,10301460,10315639,14233778,10301472,6773789,6773788,10301467,255361681,28039590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8224627, s2 = 15157556, dlinesl.size( ) = 8 s1 = 11296011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296011, s2 = 11106388, int(edited[s2]) = 0 s1 = 11296011, s2 = 11106388, d1 = 5, d2 = 11 Dl.O(d1) = 259445406 Dl.O(d2) = 258507257,54672623,54672624,258821160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296011, s2 = 11106388, dlinesl.size( ) = 8 s1 = 11296147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296147, s2 = 11214072, int(edited[s2]) = 0 s1 = 11296147, s2 = 11214072, d1 = 23, d2 = 0 Dl.O(d1) = 259535758 Dl.O(d2) = 72194430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296147, s2 = 11214072, dlinesl.size( ) = 30 s1 = 13609182, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11296767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296767, s2 = 11296884, int(edited[s2]) = 0 s1 = 11296767, s2 = 11296884, d1 = 10, d2 = 7 Dl.O(d1) = 257424584,255022364,47320400,37411978,28870625,21595671,15568632,15568634,21595675,17515870,12351785,12351786,15985144,22092661,23859153,22680311,22680309,23861383,26899933,21787240,21787242,22093793,21530893,21530892,20017719,14336783,14336784,14392509,14520418,9991306,6566593,4113684,4113685,6485712,4064065,2432136,2432134,4063986,4063990,6485587,6494196,6494193,9884138,14378122,14356278,9864197,9864199,14356288,17196696,12092360,8131990,8131989,8131980,8131982,12092343,17196668,255740328,11533365,7672869,4855044,2925760,2925762,254793083,268233177 Dl.O(d2) = 258167285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296767, s2 = 11296884, dlinesl.size( ) = 14 s1 = 11296883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296883, s2 = 11296768, int(edited[s2]) = 0 s1 = 11296883, s2 = 11296768, d1 = 6, d2 = 11 Dl.O(d1) = 258167284 Dl.O(d2) = 268233176,254793082,6505212,6505210,9898126,13597026,19047325,255740329,6490402,4066861,4066863,4536826,4498888,2703305,2703301,2703275,1566483,1566485,2703355,4060522,4060520,4076023,4076022,4077391,2439622,1410530,1410525,2439597,2703697,2703695,2440087,2440092,4062092,2438043,1409690,801932,454371,256066,141800,141798,256055,454350,801893,1409604,2437879,2437980,2437982,4074569,6502518,9894921,9138337,5980056,3739478,3739477,2454287,2454284,4103041,6549374,6926373,10504182,6936975,6936974,255022365,257424585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296883, s2 = 11296768, dlinesl.size( ) = 14 s1 = 11296891, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13478866, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10180159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11297321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297321, s2 = 11015190, int(edited[s2]) = 0 s1 = 11297321, s2 = 11015190, d1 = 22, d2 = 42 Dl.O(d1) = 259183958 Dl.O(d2) = 81156494,257934652,44505326,35127700,255763118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297321, s2 = 11015190, dlinesl.size( ) = 44 s1 = 11297721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297721, s2 = 11511258, int(edited[s2]) = 0 s1 = 11297721, s2 = 11511258, d1 = 8, d2 = 7 Dl.O(d1) = 260409046 Dl.O(d2) = 221315884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297721, s2 = 11511258, dlinesl.size( ) = 14 s1 = 11298083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298083, s2 = 14040268, int(edited[s2]) = 0 s1 = 11298083, s2 = 14040268, d1 = 9, d2 = 10 Dl.O(d1) = 85655274,99605280,99605278,99605279,101113415,101113416,115191533,129123430,137609222,142500674,262310891,162703466,273299053,192040450,193754259,185488075,185488073,193754255,200842456,205619294,199395672,199395671,199395668,192040445,263039311,162703461,150605259,150605260,162703463,162703454,150605254,137609209,123931308,109795481,95593451,259979356,55670715,257581936,35333322,35333321,44760777,55670731,68070000,81560013,95593469,109795497,109795485,109795484,123931298,109795473,109795474,123931300,261349773,117367785,260779955,144400609,156810036,168278004,156810038,156810037,162703464,156810042,156810043,156810044,168278002,261888607,131170470,131170469,141272338,141272337,141272339,271339360,100005081,86042406,72444065,268946532,255910738,22470214,270846077,127912129,141195201 Dl.O(d2) = 133495708,260254422,119623969,259637801,258383643,52251777,64100348,77246879,269070842,256110582,27284326,20348998,20348997,21623132,16517904,16516850,254486094,7657297,11510113,7656913,7656914,255788722,7127911,4844544,4844546,265505559,162118700,261548862,258505385,271857116,101763743,258250748,255556976,61264788,72046418,59311189,47917478,47917479,59311192,72046425,85634328,258862799,61264727,61264726,74044684,74044702,61264818,61264819,63835139,63835078,52019990,52019991,63835063,63835064,76942260,84942169,71365524,58628729,58628728,71365521,63835117,63835118,76942292,87647950,74044676,74044674,87647948,74793017,61996612,61996611,74793015,86298609,98869005,85634315,74044936,61265149,49786050,49786051,61265154,59963522,59963521,59963504,59963505,72701179,86298614,86298626,86298595,74044993,258786085,59963543,59963489,48571378,38655498,31087822,31087823,39766396,49786034,49786033,61265132,61265064,49785950,39766202,31087682,31087684,39766206,49785959,49785763,39766049,38655491,30078607,22697344,16494616,16494615,22697340,30078591,38655558,48571450,49786167,59963535,48571407,48571408,39766091,39766092,40567757,50609024,49785892,39766219,39766218,42455631,42455630,49785965,258240357,61265030,71521496,71521497,72701138,72701069,59963338,48571200,38655310,30078409,30078410,38655315,30078411,22697243,22697244,30078414,38655321,38655335,38655334,256971725,38641349,30078626,22697353,22697352,30078623,31865539,24343088,24343087,30078403,30078404,38655101,48571015,48571480,38655573,38655572,48571479,48570942,48570943,48571137,48571177,38655281,256972545,37911862,29342613,22010586,22010587,29342615,29342689,22010630,22010629,29342687,37911571,37911570,47833378,40567297,40567298,47833624,47833623,47833754,41708986,41708987,52019405,63834317,64814255,59231286,256917843,29342620,29342543,22010549,15909012,11030353,7304948,4609366,2775054,1609751,1609752,2775056,4609370,7304960,11030379,11030373,11030374,15909052,22010625,19087418,19087419,25716074,33491651,42487840,256917831,29342523,25715772,19087251,19087252,19087243,13627473,13627471,19087237,25715748,25715988,25715849,19087293,19087292,25715430,256148067,33490567,33491634,268499223,25715453,25715945,25715978,19087365,19087363,19087358,13627547,9331552,6112479,3824582,2291420,2291421,3824588,6112495,9331575,13627499,13627502,19087286,25715826,33491306,42486865,33490871,33490867,33490863,33490820,25715520,25715519,25715526,33490839,26400129,26400127,34275071,39850806,31168803,31168804,39850810,42487526,33491360,33491359,25715931,25715932,19087415,19087416,25716070,33491649,42487061,42486653,33490683,33490684,33491484,42487664,39850826,31168819,23680537,23680538,31168821,33491446,42487619,42487033,33490958,33490959,42487038,42487068,42487002,33490931,33490930,42486994,43895337,39850865,31168908,23680578,17360309,17360308,23680575,31168899,39850930,40323587,31634570,24127847,17764890,17764891,24127850,31634576,33490706,33490709,33490952,42487024,52893473,49873055,49873054,61354654,61354736,52893155,44782358,44782357,54638129,61354740,52893586,52893583,64814522,78007825,88256748,80312458,66883383,66883386,66883396,74912015,66883498,54626020,54626021,44575499,35197163,27107573,27107571,27107594,35197191,44575550,54625628,66883185,66883284,66883285,66883481,61833899,50349911,40323427,40323428,50349918,43883658,43883657,50349905,54626058,61833905,54625798,54625797,43883586,34612370,34612368,43883459,43883388,34612273,26623326,19812853,19812854,26623329,34612279,39903070,39903071,49922751,61402476,54625898,43883558,34612351,26623358,26623359,34612356,43883573,35197158,35197156,44575479,54625844,43883633,34612399,26623377,26623376,34612392,35197170,44575514,55422871,67762963,61402412,49922679,39903019,39903017,44575504,55422860,67762950,256669012,53023997,53023998,64998916,54625835,43883517,43883515,54625830,64998738,64998870,66883425,64998986,53024002,53024003,43883421,34612287,34612288,34612296,43883438,53023732,53023742,53023930,53023929,64998925,78272172,64998765,53023705,53023706,64998760,64998759,64999279,64999106,53024238,53024239,64999107,64999402,256669044,34612257,34612256,42331676,52718742,53023700,42583481,33566383,33566385,42583484,255686008,53023915,42583673,42583674,53023917,268304228,33350169,25589680,18980574,18980573,25589677,33350160,42331689,33566299,33566300,42583375,53022977,52718776,42331692,254936826,255686058,64998938,53024792,53024791,255280364,53022970,42582621,33565472,33565471,42582619,33567576,25777571,19136676,19136678,25777575,33567583,42584747,254936818,53022956,64998181,64999487,54665980,43923416,34650199,34650197,43923412,54665974,48304664,48304663,53024486,53024485,64618928,64618929,53023620,53023619,53023586,53023587,53023897,256152016,42583394,33566313,25776700,25776699,33566311,42583390,42582617,42582616,53022964,53024786,254936828,33567579,42584740,43895198,43895199,42582611,33565467,25775981,254304378,42582613,53022959,43895204,34623336,34623335,43895201,256669048,54638284,43895350,34623520,34623524,42583405,39850938,39850939,33566330,33566329,31267830,27967341,20804703,20804704,27967348,36426059,46279000,38394156,38394157,33566598,33566599,42583817,53024114,46659197,46659198,58031865,52718738,52718737,54638047,43895107,43895105,43895094,43895095,53023888,49923066,39903356,31226545,31226543,39903349,49923056,53023611,53023609,64998704,76943837,72427230,64998885,61515889,50037038,50037039,52859501,52019898,41709337,41709336,52019893,53024779,53024780,44359962,44359961,55210817,57623554,64999491,59306142,59306141,53024757,53024756,48304654,48304655,47911934,47911933,59306164,47911999,47911998,59306238,72041639,72427234,72427235,77801351,64998388,53023266,53023267,64998373,53023253,42583012,42583011,53023249,257792366,42583047,53023294,64998425,78271971,78272056,78272057,86088237,72491059,72491060,72041655,59306186,59306187,72041659,64998325,64998324,78271883,78272106,64998606,64998607,72041666,64998460,53023353,53023354,64621185,52721028,52721026,63836573,52021482,52021483,49868453,39845953,39845955,49868458,52021545,41710750,32794417,25095115,18548236,18548237,25095123,32794433,32794406,25095110,25095111,32794409,41710734,52021499,53025268,64998353,63836582,53025299,42585561,33568678,33568679,31660844,25777797,19136839,19136840,25777801,33567804,42582561,43923405,34650188,26658894,19844769,19844770,254965254,42583124,42583125,42425426,33433109,33433110,42425428,35119681,27032746,27032748,33567618,33565408,33565407,33567613,42584765,41710814,254936802,26658959,19844826,19844825,19135533,13663702,13663700,19135530,25775957,27032742,20139859,20139857,27032739,26658877,26658876,26959560,20075890,20075891,25775929,19135513,19135512,25775926,33565402,40017598,31338554,23846082,23846081,31338552,23846087,23846088,19844837,19844835,25776021,25776062,33565583,40191365,34650267,34650268,43923473,42582686,33565543,25776038,25776037,33565541,37995773,33565545,33565544,42582688,254936870,33565985,33565569,31338652,23846161,17504596,12342897,12342899,17504599,23846167,31338577,23846100,17504559,17504496,17504497,23845971,31338398,33566000,25776411,19135909,14947798,10281983,10281982,14947795,13449413,13449412,18874041,25475432,30713384,30713386,36425402,40017717,40017715,36425929,36425930,46278819,50036840,40017434,31338420,23845981,17504502,17504501,23845977,31338414,31338528,23846063,17504541,12342870,12342869,17504533,23846041,31338504,25805791,19158750,13680709,13680699,13680698,19158725,25805758,19158740,13680704,9368619,9368618,254867082,25805764,31595506,40279728,50299997,59306056,47911774,37995758,31595615,31595616,40279818,42628064,42627912,40279885,31595661,24092144,24092143,31595656,32811517,25108922,25108921,31595633,24092126,17734401,17734403,254929140,11101210,7361960,7361961,10816005,7361942,7361941,11101174,15991289,22101173,29433418,32793886,25094758,18547990,13178873,8983369,8983370,13178861,8983365,8983364,13178854,18547967,25094714,32793830,41710030,37996103,29433525,22101229,15991322,15991323,18548316,18548021,18548022,25094811,31595474,32794629,36922270,28423817,21200609,21200607,22101240,22101238,29433544,37996118,37996155,46810281,36931961,28433216,28433218,28433227,21209147,21209146,28433226,33616680,25816753,25816754,33616682,38435520,29876615,22519671,22519672,18545960,18545961,25091930,32790085,41705726,43031879,33974819,33616787,33616786,42612390,41708728,34966554,34966555,28295078,21087946,15147682,10447066,6887122,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,5524364,8525695,11021899,11021898,256916569,33965211,43022777,53502097,49038667,39108836,30511720,30511721,39108838,49038670,49771394,39752906,39752905,37639806,37639805,31075295,23591937,17279966,12159346,8189935,8189933,12159336,17279952,20781742,27934389,36378795,30447507,23039778,16795016,16795018,255956663,38620172,30046400,22671123,16475273,11479116,11479115,16475270,21791527,29089403,37639772,40045651,49771420,49771418,49023062,49023063,59325366,256466460,60354798,50065029,40045690,40045656,31365402,31365401,39752903,39752904,258087110,256211972,3022858,1757398,1000287,1000289,1757431,3022934,5002036,4603545,4603541,5574143,3457820,2049946,2049949,3457758,3457755,5574015,8578751,11644927,11644925,14197397,12147110,12147108,11434212,11434182,11434185,16418169,16801309,19660198,21015036,15093536,15093537,17468061,12315282,12315283,16421833,16241659,11291674,11291672,15867555,15867554,21605355,25439383,25439376,24210233,24210235,21760752,15705434,15705433,15479110,10704079,10704080,15479117,12125031,12125029,16864147,16864146,23123872,22614271,22614270,21204242,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216204,11625925,254755818,21520530,15508996,10725930,10725931,15508998,21520533,17122403,17122404,22577408,255099743,7582759,7582758,11410914,254549280,20061240,20061241,26394166,28738658,2639210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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298083, s2 = 14040268, dlinesl.size( ) = 2 s1 = 11298083, s2 = 14040268, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11298083, Dl.E( ) = 12, 2.41e-05 seconds used appending s1 = 14953046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298325, s2 = 11052012, int(edited[s2]) = 0 s1 = 11298325, s2 = 11052012, d1 = 15, d2 = 12 Dl.O(d1) = 259182840,68112630,68112629 Dl.O(d2) = 256766290,72402299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298325, s2 = 11052012, dlinesl.size( ) = 20 s1 = 14868853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14868853, s2 = 452689, int(edited[s2]) = 0 s1 = 14868853, s2 = 452689, d1 = 52, d2 = 75 Dl.O(d1) = 256390431,269338025,72168501,85762665,99716687,113731093 Dl.O(d2) = 257037706,17194086,12090325,8130555,7184893,7184892,268076461,268104795,12090308,8130545,267991879,23476402,29957065,38522126,42977448,33924021,28313552,28313553,30044350,22668842,22668841,22592583,21733672,21733670,16473196,16473195,15889888,15889889,11252826,7469837,7469836,11252823,16188623,22336336,16473105,16473055,11478137,11478136,16473851,22668637,16473882,16473881,21714034,16473353,11477896,11477897,16473034,22668641,22669192,17524193,16804182,16804179,21677233,15638363,10821768,10821767,15638359,15158709,10454074,254229034,21103261,28313578,36810181,46693450,58065884,70783306,71589713,58866923,47485145,47485144,58866919,71589710,254746442,38522329,38522328,47490869,37586135,29038622,29038623,37586138,47478391,58860901,52461224,42108635,42108634,50483222,46518185,46518186,57873756,47477048,37571108,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,31739516,31744342,37588725,29288509,29288508,37857139,37588609,37588610,47492910,37792487,29230347,29230346,29040888,29040889,23620959,23620960,29018348,29018346,37564960,37575065,37575064,47480786,58863165,58877360,50475485,40438474,31744167,24234069,24234070,24235624,17861112,17861111,24235618,31746309,31749795,40444396,40446257,40446258,38618557,30044498,30044497,38618553,48533800,50475586,40438570,31744236,31744235,31744251,24234124,24234129,31744285,40438631,40444620,40444619,47780575,39710020,31032985,23551725,23551727,23631228,23631231,22263817,16123241,11200035,7431562,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548572,47456474,42625582,42625585,37856996,37856999,39710350,39710349,49728988,49818994,39798371,31117824,31117823,39037272,30447864,23040072,16795260,11743410,11743411,16795269,22469621,22469620,29836853,38409181,36646570,29955345,29955344,38520213,39227884,41974221,41974220,43138117,43138116,50469308,50469309,58541084,50482860,40446501,31751495,29022960,29022961,37366119,37366117,29027118,21736882,15687702,10860165,10860167,15687710,21736898,29027153,37573995,35237248,27141432,20233558,14519234,14519235,20233563,16874387,12190527,8220674,5290543,5290545,8220677,12190534,16656939,11624536,7891014,7891013,11812720,12196022,12196019,11425030,7594633,7594632,11425025,16408693,22591317,29955407,38520276,48427894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14868853, s2 = 452689, dlinesl.size( ) = 2 s1 = 14868853, s2 = 452689, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14868853, Dl.E( ) = 76, 3.31e-05 seconds used appending s1 = 11298435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298435, s2 = 11287416, int(edited[s2]) = 0 s1 = 11298435, s2 = 11287416, d1 = 0, d2 = 43 Dl.O(d1) = 124002069,137683047,259494178,261279576,195043055 Dl.O(d2) = 224852382,224852385,222494624,219748897,216496741,212576161,262802608,262802610,262846342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298435, s2 = 11287416, dlinesl.size( ) = 40 s1 = 11298615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298731, s2 = 11016348, int(edited[s2]) = 0 s1 = 11298731, s2 = 11016348, d1 = 11, d2 = 10 Dl.O(d1) = 263482958 Dl.O(d2) = 258030234,256841840,255813972,39845125,39845124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298731, s2 = 11016348, dlinesl.size( ) = 14 s1 = 11298819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298819, s2 = 12034647, int(edited[s2]) = 0 s1 = 11298819, s2 = 12034647, d1 = 19, d2 = 20 Dl.O(d1) = 125443493,138772248 Dl.O(d2) = 174210504,163357472,163357471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298819, s2 = 12034647, dlinesl.size( ) = 14 s1 = 11298879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298879, s2 = 11265452, int(edited[s2]) = 0 s1 = 11298879, s2 = 11265452, d1 = 0, d2 = 1 Dl.O(d1) = 125453858,261599635 Dl.O(d2) = 139546672,260944042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298879, s2 = 11265452, dlinesl.size( ) = 14 s1 = 13612741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13612741, s2 = 10240595, int(edited[s2]) = 0 s1 = 13612741, s2 = 10240595, d1 = 11, d2 = 9 Dl.O(d1) = 100945987,86962241,73350661,73350660,86475408,100432531,101530784,97979365,84105107,70568603,70568604,84105111,87572992,101530776,113970328,99947481,85989003,85989002,87834717,74229904,61450586,61450588,61450523,49972670,49972669,61450521,74229827,259501385,101530187,87572360,258234591,49717063,49717062,61195664,73974128,87572358,87572974,101530756,101808542,87834671,87834672,101808544,115560043,101530876,258798574,61196377,49717757,39699013,39699014,49717759,61196383,73974849,87573109,101530908,115560224,129437944,129437793,115560028,115560029,115560235,101530932,87573146,270893179,115560239,129437926,115560205,101530879,101530878,115560203,114211130,100178838,86215086,72616613,72616614,86215092,100178842,86215133,86215136,100178847,86215095,86215096,100178852,260022899,128099965,141465606,141465622,261995170,141465456,141465454,141465617,141465612,128099971,128099973,261747621,147422171,134210177,120377137,106175021,91977388,78050999,78050998,91977387,101530737,115560089,129437835,128099964,114211305,100178991,86215197,72616685,72616686,86215200,100178995,100179001,100178878,86215111,86215112,100178882,259168034,59878309,59878310,72616681,86215193,100178985,114211291,127208629,113350396,99348437,85405026,71816344,59074936,47674537,37752139,37752140,47674540,59074944,258718407,99348477,113350457,126673573,260501558,127208781,127208782,140554497,127208780,127208779,140554495,153235762,143158494,143158493,143158519,129826698,129826699,143158520,137658563,137658564,141051381,127701689,113832261,99817087,99817086,113832259,259182686,257933294,85863778,85863779,99817104,113832284,127701722,259182688,127701697,259808868,141051393,127701707,127701706,259808870,129826668,259899530,98825635,98825636,112816746,126673577,123976164,123976166,115926903,101880685,101880686,115926905,115560957,115560956,258554174,256766168,72272265,85863776,258554172,113832267,113832243,113832242,113832277,99817095,85863774,72272263,59538543,48152150,38243286,29678597,29678598,38243291,48152159,59538558,72272284,85863810,99817139,99817052,99817051,98978389,98978388,112967353,116453693,102360754,102360753,99817039,85863736,72272232,72272233,85863737,99817041,113832192,102360751,88364136,88364137,85863733,257332888,113832176,127701582,141051284,150656542,162752820,261571658,137658614,130290834,130290833,143618772,156153477,167754834,162752800,162752798,165496400,153717998,141051294,259808848,156153484,156153483,167754845,178206939,173753995,162752397,260420068,153718049,165496458,261571678,271670290,141051321,127701621,113832211,113832212,127701626,141051326,153718039,165496447,165496433,153718025,153718024,165496423,175285226,164514042,152669336,139970554,260532119,112760811,126616311,139970565,152669353,164514065,167001107,177517204,186809838,186191824,176796186,166176122,166176123,175285237,175285238,166176290,154440408,154440409,166176295,154440442,141793118,141793117,154440436,166176328,175284923,184843796,193190182,200354059,206405801,211411121,212579037,207782354,202159230,195271209,187215369,177961989,177961988,174280857,163432474,151550064,151550065,163432475,151550217,151550219,163432667,174281060,260727488,163432693,151550238,138847997,125515496,111708811,111708816,125515506,125515527,138848041,125515542,125515544,138848067,151550353,154440423,154440421,151550129,138847920,125515446,111708786,97786391,97786392,111708795,125515464,138847947,138847991,151550231,163432681,155237441,155237442,149905042,262561581,261536745,136764460,149904955,162116509,172286708,161083000,148780376,148780377,161083004,172286716,167481225,167481224,177959772,177959811,177457806,177457809,186766001,191663410,199054310,205318999,202158954,199702887,194872574,263012996,183036096,262558915,162080247,162117119,149905425,149905424,162117117,151550221,138847984,125515489,111708807,111708808,125515490,138847991,151550231,163432681,155237441,155237442,149905042,136764512,122933584,108669371,108669372,122933591,136764518,149905053,162116626,173216296,183066914,173216683,173216684,183067322,176795471,176795470,174481221,163645997,151771394,151771395,155237144,155237145,151550245,138848008,138848009,151550258,163432729,151550329,138848055,138848056,151550335,162099258,162099260,167480875,159659523,147308384,134092643,125515440,125515438,125515457,125515456,138847936,151550161,163432597,163432768,163432763,168359516,156896291,144485480,144485482,142600095,129229512,129229513,142600098,149905166,136764590,122933642,122933646,136764605,136764694,149905296,154439276,141792204,128438828,128438827,141792195,154439257,166174922,176795061,177457057,177457060,183036326,183036327,173201205,173201203,162491516,150358381,150358382,162491520,163432449,163432448,174280841,166916807,155230851,142593184,129982122,129982118,143314224,148780496,261300060,172286784,161083050,148780406,135551062,121629635,121629636,135551068,148780417,161083064,162101062,149888317,149888316,162101074,166916969,155232076,155232075,166918123,177457844,177457150,177457149,177959522,167480986,167480989,167478282,167478281,177956693,187211147,186191631,186191630,194383205,194871795,187215353,177961975,177961977,187215253,262349572,191648498,191648497,199054313,204103359,209534267,213990127,212724732,207949953,263632696,262820808,199066998,205330479,205330552,262821082,183053373,177954536,167476207,155856368,143311299,143311300,155856369,149886952,136745234,136745233,149886949,162099315,173199882,183051834,191662241,264269708,183035001,173181158,173181159,183035003,191647646,195268230,273387686,263248030,202157881,195268238,187210369,183090348,173240253,162141395,162141394,162100071,149887499,149887497,162100065,162099427,162099425,173199955,162099386,149887004,149887005,149865250,136723323,122891695,122891694,136723318,149865573,149865409,149865407,149865414,162079101,162079100,173181131,162079006,162079004,149865373,136723152,122891579,108627599,108627580,108627581,108627587,122891557,136723120,149865322,162079027,162079398,149865639,149865638,162079394,162079415,167477600,162141529,162141531,173181287,173181299,167477619,162141399,162141398,173240259,173181465,162099435,149887038,136745299,136745300,136723342,122913494,122913495,136745270,136723335,122891704,108627668,94340638,94340639,108627621,122891608,122891606,136723193,142593490,155231204,149865305,136723108,136723109,136723173,122891597,108627605,94340599,80284600,80284599,94340592,108627592,122891565,136723133,149865340,136723372,122891727,122891726,136723366,149865660,162079421,162079178,162079177,262558875,149865702,149865704,162079471,149887044,261262540,108648702,94360894,94360893,108648700,122913507,136745293,149887031,162079202,149865483,136723243,122891650,122891651,136723247,262065653,136723082,122891535,108627571,94340576,80284592,66855039,66855041,80284594,94340583,108627577,122891546,136723096,149865281,143315574,143315572,155862077,167483260,162079492,149865733,136723419,122891757,108627695,94340656,94340655,108627690,122891742,136723400,262065691,261618718,138848046,141792487,154439714,166175505,162100235,162100234,261535338,129222639,115294140,115294139,261262565,260968701,115293654,115293655,129221796,129221797,129222665,142594110,149889207,136746868,136746866,133548019,133548021,146806725,142593271,142593272,155230984,166916782,155230891,142593210,129222063,129222062,142593158,142593298,129222125,115293820,101215628,101215627,99508985,99508986,113520589,127390683,260258620,122913525,136745324,129222072,129222073,142593218,155230904,153427519,140746659,127390711,113520601,113520600,127390707,140746650,153427421,140746523,127390623,113520544,113520545,127390625,127390626,127390627,140746528,136745367,260687688,259472964,66874962,54617220,43874823,34604411,34604412,43874827,54617227,66874969,80304435,73592702,60843107,60843106,60843090,49441251,39509986,39509985,257617841,270362519,101215538,115293672,129221894,141792594,141792593,154439855,165221428,155862366,143315751,143315750,154439905,141792651,260647259,261223119,154439908,166175700,176795761,176795082,176795081,173182852,162080614,149866609,149866610,149866584,149866583,162080568,173182676,178633794,168297434,168297433,163432441,163432437,155860292 Dl.O(d2) = 61645361,50161577,40138414,40138413,50161576,61645360,74426999,259515933,116075338,261300287,155861077,263248209,263608393,177462142,177462143,186769526,187213847,177960103,167481594,155860724,155860723,159522956,147163268,133940549,133940548,147163262,143314811,129982514,116075336,116075334,129982508,143314800,155861055,167482040,166175786,154439979,154439980,166175795,176795869,177461993,167481419,167481418,155862976,143316217,129983448,116075929,102020272,102020271,116075924,129983441,143316199,149888949,149888948,162101724,263247925,167476743,167481078,261842823,116075085,260727591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11903432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16209129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299497, s2 = 11143118, int(edited[s2]) = 0 s1 = 11299497, s2 = 11143118, d1 = 14, d2 = 23 Dl.O(d1) = 257207944 Dl.O(d2) = 28101530,20925672,15017895,10345841,254485409,4272217,6811434,10345840,15017893,20925668,18967639,255150829,8109181,5195397,5195398,8109182,12060609,12060619,8854643,8111939,5197016,3170833,3170834,5197019,5195430,3169998,3169997,5195423,3791284,2271141,1317189,751551,426991,426990,427147,427146,751881,1317833,2271105,3791212,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,7299644,7299642,5410035,5410034,8383539,12404759,17576633,267998990,13641816,9341629,6118907,6118909,9341635,11254491,11254492,12059176,8108150,5194759,5194758,8108146,12059169,16649681,13537374,13537375,15287943,10553321,6960348,6960347,6964034,6053453,3788054,3074617,1793643,1023190,1023186,1793605,1316505,1316507,1315840,750962,750964,1315893,267811931,254925877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299497, s2 = 11143118, dlinesl.size( ) = 14 s1 = 14124183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124183, s2 = 179232, int(edited[s2]) = 0 s1 = 14124183, s2 = 179232, d1 = 135, d2 = 87 Dl.O(d1) = 262620448,163577485,151698452,138994769,125656604,125656606,138994773,151698457,163577489,174418076,184071796,174418093,163577519,151698506,138994812,138994811,138994797,138994798,138994801,125656622,111841177,111841178,125656623,138994761,138994762,138994765,138994766,151698447,151698448,163577481,174418055,174418056,184071780,192526983,192526980,184071779,184071780,192526983,192526980,192526981,263830832,192526986,263468468,184071805,184071786,262620446,151698446,138994759,138994760,151698438,138994753,260480792,271754893,138994764,262134376,138994749,125656594,125656595,138994751,125656626,111841180,111841181,125656628,138994805,151698495,163577516,163577490,151698458,138994774,125656607,111841167,97907590,97907589,260480799,261612709,151698503,151698504,151698476,138994786,138994785,151698472,163577500,151698468,138994783,125656610,111841169,97907592,84037511,70502591,70502592,84037512,97907593,111841173,125656614,138994791,260480796,111841175,111841174,125656617,262134393,151698484,151698483,262134397,151698453,138994769,261612711,151698487,261059820,125656618,138994796,151698486,163577462,163577463,174418050,184071777,262620450,261612704,125656608,111841167,111841166,125656606,125656639,111841189,111841187,125656637,138994814,151698509,261612714,138994744,262134389,174418046,263468471,184071781,174418058,163577469,151698471,151698470,138994793,125656615,125656614,138994791,261612702 Dl.O(d2) = 6816440,254324651,1472410,1472411,2556301,4275637,6816433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124183, s2 = 179232, dlinesl.size( ) = 12 s1 = 11299595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299595, s2 = 11062894, int(edited[s2]) = 0 s1 = 11299595, s2 = 11062894, d1 = 13, d2 = 11 Dl.O(d1) = 125663805,260666054,259450264 Dl.O(d2) = 58658301,268659454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299595, s2 = 11062894, dlinesl.size( ) = 14 s1 = 13612582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14940039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14862314, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11299893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299893, s2 = 11556350, int(edited[s2]) = 0 s1 = 11299893, s2 = 11556350, d1 = 30, d2 = 43 Dl.O(d1) = 261617767 Dl.O(d2) = 226134964,227997154,229632429,231084895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299893, s2 = 11556350, dlinesl.size( ) = 34 s1 = 14201030, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14201030, s2 = 6594828, int(edited[s2]) = 0 s1 = 14201030, s2 = 6594828, d1 = 21, d2 = 29 Dl.O(d1) = 76982933,63872136,255683688,25113680,25896982,33703158,42732681,41698770,32782407,32782409,27097588,27097589,35186380,44564660,55412244,55412837,44565183,35187031,35187029,44565442,39922120,39922121,31246552,23762236,23762235,31246546,35186573,32782435,25084935,18540662,18540661,25084930,254084002,35180646,35180647,44559114,53181825,53181826,65166369,78449161,76446317,67753288,67753005,55412503,44565131,44565130,255751862,254981034,27097894,20198389,20198388,27097892,29698459,24039052,17687321,17687320,24039048,255000128,27987371,36446595,35086727,27276108,27276109,20930864,15022903,15022904,267825550,13303200,13303201,18696243,25268074,27987235,20822501,20822499,23764252,28165631,255647020 Dl.O(d2) = 111914412,256357898,48301445,255914394,88690529,256874634,24388427,17988750,17988749,18428822,13090111,13090110,18428820,18147675,18147676,14230189,9782412,6431579,4034806,2417927,1399691,1399690,2417942,4034839,6431644,9782552,14230431,14119263,13420839,13420837,256126345,257196911,64355185,77520578,259656147,105673644,119909149,133777567,147025146,159405497,170752596,259367214,258742306,257509006,126642632,255890396,98792083,84863780,71289436,254766860,58557444,47168535,37262671,37262670,47168533,51666654,51666655,255077362,255453118,263312483,272855316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14201030, s2 = 6594828, dlinesl.size( ) = 28 s1 = 11300077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300077, s2 = 15246093, int(edited[s2]) = 0 s1 = 11300077, s2 = 15246093, d1 = 105, d2 = 97 Dl.O(d1) = 268409292,46528305,36660814,28184184,254359724,10404840,6858691,4589260,2761053,1600570,1600567,2761038,4589231,7277014,8624040,7173348,7173349,10850624,15673785,16810531,12196029,8226256,8226259,6855208,4302217,4302176,4302179,6855147,10399173,15076812,10494203,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845798,11750868,16250660,21604655,21604654,28880385,21748389,15696037,10865751,10865752,15696103,21748471,29041102,37564818,37564822,29018485,22552453,17857598,12646198,8586420,5579442,3461773,2052885,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7183755,4525726,2720497,1576442,1576443,2720498,4525737,7183796,10865329,15695332,17857021,17857020,24229748,24229814,31738907,29042513,29042512,30307756,30307755,38893440,47492244,256357004,29035666,21743912,21743911,17858380,255591175,17858351,15684079,10857819,255051597,21731701 Dl.O(d2) = 165229146,175934015,263530985,262697679,165229138,263136299,175934011,165229145,165229146,175934015,185419812,185419804,175934003,175934005,262697681,153427578,153427579,262697683,165229144,263136301,193697337,185419806,185419800,175933999,165229135,272551261,127390737,113520621,99509017,258732167,59236968,257535438,22018755,15917475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300077, s2 = 15246093, dlinesl.size( ) = 2 s1 = 11300077, s2 = 15246093, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11300077, Dl.E( ) = 112, 3.19e-05 seconds used appending s1 = 11300101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300101, s2 = 11394364, int(edited[s2]) = 0 s1 = 11300101, s2 = 11394364, d1 = 12, d2 = 9 Dl.O(d1) = 271667964 Dl.O(d2) = 174664558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300101, s2 = 11394364, dlinesl.size( ) = 14 s1 = 11300267, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11300361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300361, s2 = 10989882, int(edited[s2]) = 0 s1 = 11300361, s2 = 10989882, d1 = 10, d2 = 13 Dl.O(d1) = 257902776 Dl.O(d2) = 255321946,21072668,15136691,10439736,6882248,4320212,2584133,2584136,4320226,4029924,2414916,2414914,4029937,6423640,9769913,14211669,17843216,17242433,17242435,23550507,17242535,17242536,18535451,18535452,25078677,21760148,15704975,15704974,21760144,29054736,24763781,18286711,12979545,12979544,18286709,24763777,32384237,38295895,29729071,22372343,22364213,16210614,11268598,7480339,4727382,2848240,2848239,4727377,7480327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300361, s2 = 10989882, dlinesl.size( ) = 14 s1 = 11300383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11300465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11300635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11300839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300839, s2 = 7927617, int(edited[s2]) = 0 s1 = 11300839, s2 = 7927617, d1 = 61, d2 = 94 Dl.O(d1) = 261082251 Dl.O(d2) = 24233301,28272265,28272267,36767241,37558952,37558932,29029184,29029186,30307248,29042402,21749756,21749757,29010639,21724601,15679219,10854748,10854751,15679228,21724615,29011719,21748624,15696222,10865824,7184092,7184089,10865814,10859205,7179334,4522577,2718339,2718334,4522549,7179281,10859115,10857008,10857014,10857179,15682926,10861489,10861485,7183012,7183011,10862900,7182126,4524576,4524577,7176707,10855191,10868187,15699628,21738408,21712769,15670229,15670230,10859707,10859708,10852116,7185516,4526839,2721166,1576808,1576806,2721162,4526829,4523511,4523510,7180679,10860990,10852022,10852021,7177934,4525865,4525864,4526027,7184233,7177097,7177098,7179158,4522700,4522701,7177973,4521736,4519340,2716348,2716347,1574526,1574530,896120,896118,1576178,1575883,895947,895946,1575877,2719645,4524487,7181985,10862697,15691328,10864052,10864053,10861332,7180917,7180918,7185668,7174713,7174711,4523197,4521195,2717547,1574678,895321,895319,1574672,2717535,2717785,2717784,4521612,2719927,1576043,896044,896043,1576028,1576027,2719904,4521361,4524169,2720021,2705008,2705009,2720882,4501377,7148081,7175773,4522790,4522792,4524908,2719936,2719937,2721322,255050987,21720189,28782444,21519123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11301009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11301009, s2 = 13119543, int(edited[s2]) = 0 s1 = 11301009, s2 = 13119543, d1 = 21, d2 = 18 Dl.O(d1) = 261636095,272828603,152293882,262640601 Dl.O(d2) = 273556223,201267826,207188780,212071971,216061323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11301009, s2 = 13119543, dlinesl.size( ) = 2 s1 = 11301009, s2 = 13119543, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11301009, Dl.E( ) = 38, 1.72e-05 seconds used appending s1 = 11301113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11301113, s2 = 11651628, int(edited[s2]) = 0 s1 = 11301113, s2 = 11651628, d1 = 8, d2 = 60 Dl.O(d1) = 112342864 Dl.O(d2) = 256354050,49719074,39700406,39700405,31023470,23542250,17233933,12115199,8146015,5218347,3183242,1862986,1062932,1062931,1862984,3183238,5218342,255489032,31023460,30437090,267832362,269834089,100263438,271349625,262266091,262742285,264519893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11301113, s2 = 11651628, dlinesl.size( ) = 8 s1 = 11301301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11301301, s2 = 10983092, int(edited[s2]) = 0 s1 = 11301301, s2 = 10983092, d1 = 12, d2 = 14 Dl.O(d1) = 259881938 Dl.O(d2) = 267958428,13906485,10269574,10269577,13820839,13659126,9353407,6126544,6126543,6139531,6139533,9372602,9511102,9426157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11301301, s2 = 10983092, dlinesl.size( ) = 20 s1 = 10973689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10973689, s2 = 9228670, int(edited[s2]) = 0 s1 = 10973689, s2 = 9228670, d1 = 19, d2 = 14 Dl.O(d1) = 114827455,114827326,114826900,100774660,86794215,86794214,258817295,73181774,86794148,86794149,100775124,259916882,86794621,86794622,86794649,100775591,114827682,128727526,142086057,260658163,100775689,86794730,258194051,49031008,49031007,60434999,64446797,270519277,270519279,77614849,91543893,100775049,100775048,86794060,259441493,114827252,115670850,101629778,101629777,91543901,91543899,86794313,86794314,100775289,114827457,105765738,105765740,119998404,114826936,100774700,100774701,114826875,100774643,86793671,73181242,60434343,49030580,49030581,60434350,71184284,58462305,58462304,71184278,84752872,86793730,86793741,73182042,60434920,60434921,73182048,86794636,86793930,73181466,60434494,49030672,49030673,60434495,73181467,86793932,258194051,258194049,60435001,73182128,86794728,86794013,86794012,100774835,86794245,86794246,100774697,270869479,73181220,60434329,257005411,257005413,60434334,60434883,73181996,86794575 Dl.O(d2) = 257005417,30505192,23090725,23090724,30505190,39101493,49030599,258817223,73181994,73181993,86794567,100775484,260658141,100775704,271792400,86793642,73181214,60434323,60434324,73181215,73181936,73181935,86794020,73181552,60434570,60434569,73181551,259441485,114698525,100653286,86680484,73075823,73075824,86680488,100653293,86794315,86794314,100775289,114827457,105765738,105765740,114827372,100775215,86794242,85931074,72337096,72337094,60434315,60434316,73181205,86793631,100774607,114826844,114827378,100775218,100775219,114827380,128727300,142086017,129883930,128727283,114827358,100775204,100775208,114826962,114826964,114827530,114828074,128727820,128727467,114827588,100775447,86794467,73181912,60434823,60434824,73181915,86794469,260058263,100774618,114826841,100774965,100774964,100774842,86794288,73181787,73181788,86793910,100774895,260039048,114826844,261233383,261233419,128727300,261215578,114436153,100411467,86794398,73181868,60434795,60434797,73181853,86794239,86794240,100775208,114826962,114826964,114827530,114828074,128727820,128727467,114827588,100775447,86794467,73181912,73181913,73181226,60434335,60434336,73181227,86793656,100774618,100774602,272236330,257586015,49030830,60434730,73181788,86793910,100774895,260039050,259441435,86793621,73181516,60434546,49030704,39101550,30505225,30505227,268967039,60434534,73181505,86793922,86793921,86793623,73181197,257585991,30505180,23090718,23090717,30505177,39101474,39101483,30505185,23090721,16836350,16836349,23090719,256460989,49030570,60434320,60434583,60434568,49030769,39101580,30505248,23090762,23090760,23914793,256021431,40086391,257586003,73181487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10973689, s2 = 9228670, dlinesl.size( ) = 14 s1 = 16032847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16032847, s2 = 8171783, int(edited[s2]) = 0 s1 = 16032847, s2 = 8171783, d1 = 93, d2 = 90 Dl.O(d1) = 18323674,13007065,13007066,18323677,24812946,18402808,18402807,17697903,12517487,8907266,8907262,13071440,17697907,21549155,21549150,28818385,37358081,29590781,22242479,16106123,11187378,11187375,16106113,11187528,7423144,4690848,2826493,2826496,4690859,4691486,7424230,11189287,16108853,22246011,22246120,16108931,11189336,11189337,13672475,13672476,19147979,22245762,22245761,29594419,31468916,29594180,24951711,24951709,23973418,23973417,31469026 Dl.O(d2) = 57649992,70340558,83865917,97724809,111645576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16032847, s2 = 8171783, dlinesl.size( ) = 2 s1 = 16032847, s2 = 8171783, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16032847, Dl.E( ) = 108, 4.48e-05 seconds used appending s1 = 11301855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11301855, s2 = 14972510, int(edited[s2]) = 0 s1 = 11301855, s2 = 14972510, d1 = 0, d2 = 0 Dl.O(d1) = 259070976,37084987,255692122,15374980,10624208,10624209,15374971,21350992,28580488,24740268,257144693,255303848,41625648,41625647,41168955,254955650,18265066,12961527,12961526,18260240,18260239,13628561,13476495,13476499,11494908,8468992,5474265,3368619,3368617,5474259,4689224,4689227,3575405,3575409,5742025,4509265,4509261,5738663,6040432,3778850,2263452,2263453,3776039,5744568,5744563,3772202,3772198,2260933,1312235,1312237,2260939,3773618,6032029,9213181,13471522,12845410,12845406,13470321,18261376,12957780,8817718,8817722,12957791,18261388,24734506,256166570,1241302,2147502,3599757,5777385,3775119,2709152,2709155,2263068,1313024,1313022,2263125,2263141,1313240,1313063,1313065,2263277,3778519,254924405,255286670,13604343,18990119,18990120,25602372,25736771,31508521,24008857,17662470,17662471,24008860,31508524,40194274,41415012,32556113,24905664,24905662,25608822,33373572,41359624,32512581,32512582,33373450,25608689,24053085,24053086,31557438,32498973,32498987,24856872,18360168,13036239,8878182,5789358,5789356,8878176,13036228,9299836,6092017,6092020,7420365,9299771,6342682,3979368,3979366,6342673,6342727,262050639,272828902 Dl.O(d2) = 259070976,37084987,255692122,15374980,10624208,10624209,15374971,21350992,28580488,24740268,257144693,255303848,41625648,41625647,41168955,254955650,18265066,12961527,12961526,18260240,18260239,13628561,13476495,13476499,11494908,8468992,5474265,3368619,3368617,5474259,4689224,4689227,3575405,3575409,5742025,4509265,4509261,5738663,6040432,3778850,2263452,2263453,3776039,5744568,5744563,3772202,3772198,2260933,1312235,1312237,2260939,3773618,6032029,9213181,13471522,12845410,12845406,13470321,18261376,12957780,8817718,8817722,12957791,18261388,24734506,256166570,1241302,2147502,3599757,5777385,3775119,2709152,2709155,2263068,1313024,1313022,2263125,2263141,1313240,1313063,1313065,2263277,3778519,254924405,255286670,13604343,18990119,18990120,25602372,25736771,31508521,24008857,17662470,17662471,24008860,31508524,40194274,41415012,32556113,24905664,24905662,25608822,33373572,41359624,32512581,32512582,33373450,25608689,24053085,24053086,31557438,32498973,32498987,24856872,18360168,13036239,8878182,5789358,5789356,8878176,13036228,9299836,6092017,6092020,7420365,9299771,6342682,3979368,3979366,6342673,6342727,262050639,272828902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11301855, s2 = 14972510, dlinesl.size( ) = 2 s1 = 11301855, s2 = 14972510, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11301855, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14972509, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11301875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15870093, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11302609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11302609, s2 = 11034186, int(edited[s2]) = 0 s1 = 11302609, s2 = 11034186, d1 = 16, d2 = 6 Dl.O(d1) = 112757474 Dl.O(d2) = 47146179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11302609, s2 = 11034186, dlinesl.size( ) = 20 s1 = 11302815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11302815, s2 = 11268218, int(edited[s2]) = 0 s1 = 11302815, s2 = 11268218, d1 = 52, d2 = 56 Dl.O(d1) = 126655442,140010305,263861967 Dl.O(d2) = 264134186,219094807,215747155,211699304,261562164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11302815, s2 = 11268218, dlinesl.size( ) = 64 s1 = 14637771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14637771, s2 = 11904791, int(edited[s2]) = 0 s1 = 14637771, s2 = 11904791, d1 = 1, d2 = 1 Dl.O(d1) = 28799014,28799013,256876165,58639672,71375992,259318241,98877399,112864684,126715910,126715911,140062914,152752453,262666371,143036582,129705641,260112103,87787479,74183251,61403358,49923717,39904031,31227204,23743583,17418697,12276997,8291178,5348960,3287425,1933247,1104270,1104269,1933245,2547093,2547094,4260598,6795139,10326428,14995800,20900212,28071727,36462253,36467208,36467207,35243743,35243742,257195616,33157148,39904028,39904030,47983452,47983454,49241065,47293920,37384759,255845323,21573150,28844795,256878809,58684692,47709842,47709843,59107922,49730114,49730112,60548665,49149275,39222638,30624891,30624892,39222641,46356574,46356572,47983439,59373410,57705869,46356568,46356569,57705872,68126016,55728054,44820125,44820126,47983451,38071371,38071370,38071378,29507696,22167303,16044391,16044390,22167302,29507693,23006807,16767101,11720133,7822280,4964307,2998384,1741406,1741407,2998387,4964314,4964304,4964303,7822275,268097035,11720113,11720114,11720124,16767085,23006778,16767090,11720127,7822278,4964305,2998383,1741405,1741404,2998381,4964302,7822272,11720118,16767076,23006769,30410840,23006027,16767068,16767069,23006762,23006799,23006800,30411889,39001169,256999059,38776028,30192253,22802010,22802011,30192255,30192245,30192244,38776151,38776076,30192188,22801967,22801966,22801995,23006771,23006782,23006783,256454963,31583435,24077755 Dl.O(d2) = 28799014,28799013,256876165,58639672,71375992,259318241,98877399,112864684,126715910,126715911,140062914,152752453,262666371,143036582,129705641,260112103,87787479,74183251,61403358,49923717,39904031,31227204,23743583,17418697,12276997,8291178,5348960,3287425,1933247,1104270,1104269,1933245,2547093,2547094,4260598,6795139,10326428,14995800,20900212,28071727,36462253,36467208,36467207,35243743,35243742,257195616,33157148,39904028,39904030,47983452,47983454,49241065,47293920,37384759,255845323,21573150,28844795,256878809,58684692,47709842,47709843,59107922,49730114,49730112,60548665,49149275,39222638,30624891,30624892,39222641,46356574,46356572,47983439,59373410,57705869,46356568,46356569,57705872,68126016,55728054,44820125,44820126,47983451,38071371,38071370,38071378,29507696,22167303,16044391,16044390,22167302,29507693,23006807,16767101,11720133,7822280,4964307,2998384,1741406,1741407,2998387,4964314,4964304,4964303,7822275,268097035,11720113,11720114,11720124,16767085,23006778,16767090,11720127,7822278,4964305,2998383,1741405,1741404,2998381,4964302,7822272,11720118,16767076,23006769,30410840,23006027,16767068,16767069,23006762,23006799,23006800,30411889,39001169,256999059,38776028,30192253,22802010,22802011,30192255,30192245,30192244,38776151,38776076,30192188,22801967,22801966,22801995,23006771,23006782,23006783,256454963,31583435,24077755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14637771, s2 = 11904791, dlinesl.size( ) = 2 s1 = 14637771, s2 = 11904791, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14637771, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11904792, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11303365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303365, s2 = 13424918, int(edited[s2]) = 0 s1 = 11303365, s2 = 13424918, d1 = 21, d2 = 33 Dl.O(d1) = 272160965,258144418,97757260 Dl.O(d2) = 70376184,83900749,97757262,97757263,83900752,70376186,70376185,83900750,97757263,83900752,70376186,57683992,46336807,36480857,33032139,25305602,25305603,30679225,29100474,25305571,21483996,21483997,26684444,22265438,255083297,7431927,7431928,11200674,16124337,20156063,27048823,257314763,67698085,258254466,260116258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303365, s2 = 13424918, dlinesl.size( ) = 20 s1 = 11303637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303637, s2 = 11325286, int(edited[s2]) = 0 s1 = 11303637, s2 = 11325286, d1 = 2, d2 = 9 Dl.O(d1) = 112993695,126847397,140195474,126847400,257930918,112993688,126847391,140195469,150623702,137626693,123947339,109809983,109809984,123947341 Dl.O(d2) = 257930916,112993697,99004466,99004467,112993698,257930910,126847391,140195469,150623702,137626693,257930906,126847390,126847397,140195474,126847400,112993701,99004471,85078963,71506907,58777621,58777619,255759858,99004459,257930908,150623698,259806720,123947337,137626692,150623700,257930912,112993689,271779743,99004471,85078963,71506907,58777621,58777620,71506905,85078960,99004467,112993698,257930910,126847391,140195469,150623702,137626693,123947339,109809983,109809984,123947341,137626695,259806724,261569426,183505253,192052769,274075283,263285865,262399667,157002296,168448906,178754785,187858998,178754753,168448880,262865143,187859001,195799286,264315715,187859017,187859014,178754766,178754765,168448897,168448896,178754770,187859024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303637, s2 = 11325286, dlinesl.size( ) = 2 s1 = 11303637, s2 = 11325286, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11303637, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 16350036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13617112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303927, s2 = 11238986, int(edited[s2]) = 0 s1 = 11303927, s2 = 11238986, d1 = 8, d2 = 0 Dl.O(d1) = 113051062 Dl.O(d2) = 85139729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303927, s2 = 11238986, dlinesl.size( ) = 20 s1 = 11304001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11304345, s2 = 14036297, int(edited[s2]) = 0 s1 = 11304345, s2 = 14036297, d1 = 10, d2 = 3 Dl.O(d1) = 113310227,269798246,113310230,113310231,113310233,99306693,99306694,113310234 Dl.O(d2) = 71771996,59029357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11304345, s2 = 14036297, dlinesl.size( ) = 18 s1 = 11304407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11304407, s2 = 11066426, int(edited[s2]) = 0 s1 = 11304407, s2 = 11066426, d1 = 52, d2 = 57 Dl.O(d1) = 272848287,263520413,273985274,273914095 Dl.O(d2) = 41498853,32617998,255635011,5823703,3633033,2169985,1256059,1256060,2169987,254434847,8923987,256607975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11304407, s2 = 11066426, dlinesl.size( ) = 52 s1 = 10189119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11305203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11305203, s2 = 11326324, int(edited[s2]) = 0 s1 = 11305203, s2 = 11326324, d1 = 5, d2 = 8 Dl.O(d1) = 127371856,261410634,114152256,114152257,261196335 Dl.O(d2) = 261227053,261606342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11305203, s2 = 11326324, dlinesl.size( ) = 22 s1 = 10774151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10774151, s2 = 16399521, int(edited[s2]) = 0 s1 = 10774151, s2 = 16399521, d1 = 15, d2 = 7 Dl.O(d1) = 265920694,233669725,234732851,266373654,266465161,237028170,237792245,238486456,237953416,237202400,236378677,235476953,234488637,233402891,232207558,230883596,229406081,227742267,225845726,223671184,221161589,218230933,214742995,210505111,205318341,199053345,191646991,191646992,191646997,183034194,183034195,183034197,191646993,183034192,261703912,199053350,205318345,205318348,210505109,210505114,205318347,263137722,263137720,191646990,183034190,173180152,261154738,173180153,162077930,271328990 Dl.O(d2) = 199053351,191646999,191646998,191646994,183034192,173180156,162077933,149864163,149864162,162077936,261703908,261703902,173180159,173180158,183034195,173180164,260577580,136722053,122890524,122890523,122890520,108626555,259359154,136722048,149864164,261703902,173180159,173180158,183034195,183034197,261703914,162077940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10774151, s2 = 16399521, dlinesl.size( ) = 8 s1 = 11305377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11305377, s2 = 11312314, int(edited[s2]) = 0 s1 = 11305377, s2 = 11312314, d1 = 12, d2 = 6 Dl.O(d1) = 259359304,85111819,71540266,58811242,58811243,71540267,85111820,99037125 Dl.O(d2) = 256955681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11305377, s2 = 11312314, dlinesl.size( ) = 14 s1 = 11305381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11305381, s2 = 11655226, int(edited[s2]) = 0 s1 = 11305381, s2 = 11655226, d1 = 11, d2 = 0 Dl.O(d1) = 263532581,200807670,264183502,264964866,265524622,263144447,140902639,261712199,262706771,264212907,264308403 Dl.O(d2) = 187590113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11305381, s2 = 11655226, dlinesl.size( ) = 12 s1 = 11305409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13619286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13619286, s2 = 1836468, int(edited[s2]) = 0 s1 = 13619286, s2 = 1836468, d1 = 18, d2 = 0 Dl.O(d1) = 261236620,113604253 Dl.O(d2) = 47923229,268422272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13619286, s2 = 1836468, dlinesl.size( ) = 2 s1 = 13619286, s2 = 1836468, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13619286, Dl.E( ) = 26, 5.96e-06 seconds used appending s1 = 11306061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11306061, s2 = 11381842, int(edited[s2]) = 0 s1 = 11306061, s2 = 11381842, d1 = 2, d2 = 10 Dl.O(d1) = 258175942 Dl.O(d2) = 261216684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11306061, s2 = 11381842, dlinesl.size( ) = 12 s1 = 11306197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14201350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11306735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11306735, s2 = 11042754, int(edited[s2]) = 0 s1 = 11306735, s2 = 11042754, d1 = 10, d2 = 12 Dl.O(d1) = 258133220 Dl.O(d2) = 258276804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11306735, s2 = 11042754, dlinesl.size( ) = 14 s1 = 14010015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11307183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307183, s2 = 11245196, int(edited[s2]) = 0 s1 = 11307183, s2 = 11245196, d1 = 48, d2 = 8 Dl.O(d1) = 258645700,59671306,48284058,256831724,269771072,271293239 Dl.O(d2) = 150575767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307183, s2 = 11245196, dlinesl.size( ) = 44 s1 = 11307249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307249, s2 = 11381372, int(edited[s2]) = 0 s1 = 11307249, s2 = 11381372, d1 = 0, d2 = 3 Dl.O(d1) = 127871574,273062876,264995827 Dl.O(d2) = 165976245,261754164,128201522,114318774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307249, s2 = 11381372, dlinesl.size( ) = 28 s1 = 11307499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307499, s2 = 7796187, int(edited[s2]) = 0 s1 = 11307499, s2 = 7796187, d1 = 13, d2 = 28 Dl.O(d1) = 274195805 Dl.O(d2) = 247013142,247063201,247013151,247013152,247063212,247108371,267597720,267597722,247013155,267604138,247148914,247108361,267597718,247013142,247063201,247013151,247013152,247063212,247108371,247108381,247148935,247148902,247108350,247063180,247013101,246959250,246901724,246841824,267577306,246841806,246841805,267577316,246779699,275045200,246573785,246496637,246415725,246329859,275036433,245931147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307499, s2 = 7796187, dlinesl.size( ) = 22 s1 = 11307559, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14201416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11307751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307751, s2 = 11013906, int(edited[s2]) = 0 s1 = 11307751, s2 = 11013906, d1 = 7, d2 = 10 Dl.O(d1) = 128020570 Dl.O(d2) = 268163402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307751, s2 = 11013906, dlinesl.size( ) = 14 s1 = 10793635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308395, s2 = 11277802, int(edited[s2]) = 0 s1 = 11308395, s2 = 11277802, d1 = 5, d2 = 6 Dl.O(d1) = 261205855 Dl.O(d2) = 139936201,126572775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308395, s2 = 11277802, dlinesl.size( ) = 8 s1 = 11308485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308485, s2 = 11239124, int(edited[s2]) = 0 s1 = 11308485, s2 = 11239124, d1 = 8, d2 = 11 Dl.O(d1) = 260029684 Dl.O(d2) = 74169041,61388472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308485, s2 = 11239124, dlinesl.size( ) = 12 s1 = 10695359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308521, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11308561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308617, s2 = 10622832, int(edited[s2]) = 0 s1 = 11308617, s2 = 10622832, d1 = 1, d2 = 8 Dl.O(d1) = 128227780 Dl.O(d2) = 201291317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308617, s2 = 10622832, dlinesl.size( ) = 14 s1 = 11308745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308745, s2 = 11489300, int(edited[s2]) = 0 s1 = 11308745, s2 = 11489300, d1 = 34, d2 = 33 Dl.O(d1) = 263180825,194281444 Dl.O(d2) = 210691267,264686271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308745, s2 = 11489300, dlinesl.size( ) = 38 s1 = 13450829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308783, s2 = 6667542, int(edited[s2]) = 0 s1 = 11308783, s2 = 6667542, d1 = 24, d2 = 22 Dl.O(d1) = 256447670,60072719,49063763,49063762,60467313,65987417,65987416,79354467,71796992,59056172,47655653,39133721,30535049,30535048,30535044,23116409,23116410,30535046,35094220,27007910,20116520,268257141,17585953,17237410,17237411,23545129,26417322,26417321,21863210 Dl.O(d2) = 257121992,40808728,40808729,41221392,41221329,32397825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308783, s2 = 6667542, dlinesl.size( ) = 2 s1 = 11308783, s2 = 6667542, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11308783, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 11308831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10824904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308965, s2 = 14058606, int(edited[s2]) = 0 s1 = 11308965, s2 = 14058606, d1 = 12, d2 = 9 Dl.O(d1) = 259170968,256756504,22810046,20059022,14374214,14374213,20059028,15608881,10798931,7135081,7135080,10798930,14380824,255162937,5315266,3264612,3264611,5315262,6496529,6496527,9887358,14381732,15730304,21788610,20065151,20065150,16290529,16290530,22458529,21785762,15727269,10890775,7202195,255054625,11318261,11318260,16276950,22446352,29814045,29813897,22446241,22446240,29813895,29813934,28547731,21323512,15351971 Dl.O(d2) = 22446169,29813812,29553768,22209030,16078434,16078435,22209032,29553769,22209635,16078999,11166346,11166347,268222775,29553789,22209047,16078445,11165882,7407683,4680742,254236015,1636198,1636299,1636298,1636203,930400,930399,254236017,4680756,7407709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308965, s2 = 14058606, dlinesl.size( ) = 14 s1 = 15547527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309169, s2 = 7040320, int(edited[s2]) = 0 s1 = 11309169, s2 = 7040320, d1 = 126, d2 = 77 Dl.O(d1) = 262276187,272894392,153406944 Dl.O(d2) = 261725227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309169, s2 = 7040320, dlinesl.size( ) = 24 s1 = 2580319, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11906832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7043789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309435, s2 = 11648876, int(edited[s2]) = 0 s1 = 11309435, s2 = 11648876, d1 = 18, d2 = 17 Dl.O(d1) = 259629654,48791719,48791720,60188303,255642142,31328656,30925561,23487518,23487519,30925563,256919488,65199464,53213718,42763906,33733925,25926944,257828635 Dl.O(d2) = 259358523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309435, s2 = 11648876, dlinesl.size( ) = 20 s1 = 14250194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14250194, s2 = 14886993, int(edited[s2]) = 0 s1 = 14250194, s2 = 14886993, d1 = 20, d2 = 12 Dl.O(d1) = 49894987,61375602,258870347,74156162,74156161,87760491,74156149,61375597,61375598,74156151,87760505,101733159,99015163,99015162,87760501,74156147,74156148,87760502,87826546,87826547,87760497,87760492,74156134,61375573,61375571,74156132,74221527,74221526,74221536,61441715,49963488,49963490,61441718,74221539,87826550,101800556,115846718,129745721,129745719,115846712,115846713,116416374,129675004,130253555,116416388,116416389,130253567,143002719,130253557,116416379,102323677,102323676,116416377,130253554,130253569,116416394,102323691,102323690,88327859,74700037,61906395,61906396,74700038,88327860,102323695,102323664,88327822,74699998,61906361,61906362,61906386,50415895,50415894,61906383,74700023,74700045,61906401,61906402,74700048,74474347,61691787,50210018,50210019,256944194,24178665,24178666,31687517,40381398,50415875,61906357,74699992,88327815,89130733,75385677,75385678,89130724,75385672,75385673,89130726,88086550,259157482,88327832,74700008,62469824,62469825,75385694,89130748,103219469,117348324,117348310,258528344,62469819,62469820,75385683,89130737,103219465,117348316,117348317,131151217,123518367,109327034,109327033,123518363,123518360,109327029,95072245,254975292,55199745,44349281,44349280,44349283,44349284,55199751,67543552,67752472,255743776,44564313,55411923,55411933,44564325,35186030,35186031,44564327,44564330,35186033,27097260,20197822,14492374,9971503,9971504,14492376,20197824,256227661,27097262,20197823,255751829,35186037,44564336,55411945,55411947,67752489,55411939,55411940,67711158,67711164,67711161,55371377,55371376,67711159,72781296,60042691,60042692,72781297,81176509,73190775,73190776,73190764,60444247,49040429,49040428,60444245,60444252,49040433,49040432,60444250,73190767,73190769,86802692 Dl.O(d2) = 51027236,62653317,57882621,46526517,36658987,36658989,46526520,257015591,39236706,37035875,28537565,21314487,21314486,28537564,30386559,22984032,22984034,30386562,38973023,48893450,60287146,60287132,60287133,63313655,57731883,46381814,36522278,255241688,57731881,51591413,267808892,32519273,32884258,32884259,32519267,24876358,24876359,32519269,25175405,24701110,18231029,18231030,16909422,11833819,11833818,254900012,18648035,18648036,24894489,18392892,18392891,24894487,32542780,41399795,41883717,41883718,39189485,30592042,23173418,18648039,18648040,25213341,31112045,23625635,17310044,17310042,23625630,17310036,12186073,8216556,5286608,5286607,8216553,12186065,17309989,12186049,12186052,17309972,23625530,24223464,31731683,25701118,25701119,28813426,31111944,33474223,25701143,25701142,33474221,39734748,49753456,60248970,60248971,61232470,61232471,74012945,257628395,49753436,39734741,39734740,257628399,49753435,39734727,38937119,30351251,30351250,23572878,23572870,17261491,12141125,12141124,17261489,23572866,31056554,39734735,39734743,269389289,268961619,30190361,30190362,38774053,48696309,38774048,38774049,30285534,30285535,38871417,30285538,22887644,16658861,11626346,11626345,16658858,22887639,30285529,38565667,30189793,22799979,16582983,16582984,16583002,16583003,22799991,30189804,30285541,30189790,30189789,22887637,16658856,16582986,11563205,11563206,11563201,11563200,7695862,4870449,2934936,1702141,1702140,2934935,4870448,7695861,11428186,11428185,16412449,18783238,13377888,9143673,5983542,3741529,3741530,5983544,9143677,8624486,7735371,4897449,254548757,267883704,11550918,254677830,16659299,267982681,4904633,2956160,254170735,548325,548324,973955,1714101,2956153,4795568,2934543,1701910,1701907,1701221,967115,967114,852599,481535,481534,852597,1504070,2606345,4351897,6927346,10505461,11437325,11625508,7743800,7743799,7612949,4816490,2904551,1684870,1684869,2904549,4819950,7618019,11453304,15172305,15172307,19323276,13817506,13817504,19323273,21155804,16433031,11448136,267835586,17309903,12185979,10484024,7618852,4820487,4820489,2906023,2906020,4820757,2905061,254360847,254788073,16440874,16440882,16440588,11454788,11454789,16440591,16440880,16440881,16642295,16642294,16867178,11798845,255133169,23126936,22626357,22626356,23126937,23126938,30545214,30545215,28827021,28827020,23126910,23126909,23126932,23126931,30545245,30545222,30545223,39143715,30545238,23126924,16867170,16867171,16867172,23126926,30545241,39143740,47277154,39143682,39143684,39143735,39143736,49073896,49073895,49073960,49073959,39143738,30545239,30545200,30545199,30545204,39143696,39143748,39143749,257589483,49073964,49073963,42373945,33385020,268751837,52772934,60477179,64687171,60477234,49073957,39143731,39143732,257213947,33385016,33385015,42373937,49073970,39143751,39143750,49073968,60477238,60477241,60477242,58883790,58883789,71603599,73223792,86836546,269865059,61301208,74082381,87689337,270317452,49821442,39800634,31120069,23633472,17317463,12193131,8223393,8223394,11521391,8564532,5561083,3445481,3445482,2040288,2040289,2040103,2040107,2743503,3728341,4490498,4490500,5272953,3227260,1892188,1892186,3227253,2852301,2852299,2885552,2885569,1674714,1674711,2697622,1892151,1562573,888324,888322,1562545,888742,509754,285753,285755,509769,903847,1589877,2698226,1914992,1914995,3259444,3244429,1904192,1087066,1087068,1904202,3198670,3198666,5239574,8170592,5298429,3249317,1907676,1089181,1089179,1907669,3249301,5298405,5307346,5307347,8235193,8245944,8198304,254393041,1918613,1095943,1095941,1918610,3264434,3207174,1878246,1071564,1071563,1086806,1546116,878703,516550,516552,915406,1608959,2773854,4607951,7303509,11029170,8210627,5281643,5281642,5315884,5315885,8244207,254581479,3219722,1886762,1076488,1076487,1886759,1883399,1074504,603661,603659,1074496,1883381,1891091,3225768,2783835,2783837,4623013,7321816,7328347,7328349,11049454,7324754,5271954,3226418,1891584,1079441,1079440,1891578,3195779,5235637,5235639,7323274,4624370,3183399,3183403,5218607,8146445,12115830,8148344,5220209,5220210,8148346,12117397,8149098,8149097,12118003,17234736,17237392,15922127,15918977,11041085,7315385,7315384,11041084,11402805,11722317,7824870,7824871,254832637,8151458,11722291,8150787,7135539,4492343,4492344,7135542,5307737,5307738,5221395,3186874,3186873,5224101,8153077,8453880,5461117,5220552,3184638,3184636,5220546,254832441,7821950,7821952,11719640,8221659,5291682,3242970,1903095,1086376,1086377,1903096,3242972,5291684,8221663,5292695,3244010,1903872,1086842,610253,339465,186363,186360,186340,186343,339414,610131,610751,339757,186506,186505,339753,610742,1087784,1905363,3200017,1873443,1873442,1920078,1920079,1896921,1896920,3233886,3233979,1896940,1082700,608088,338405,185873,185872,338399,608074,1082673,1896896,1907609,1089149,611504,340128,340129,611506,254133699,254584629,11027113,7301333,5268548,5268547,5265587,5265586,8195568,11324826,8176053,8176051,8179703,254835071,7306981,4611129,3266269,1919927,1919929,3266271,5317340,4970900,4970901,3002557,3002558,1891852,1891853,2785026,2785027,3242031,3225287,3225288,5270754,5239290,3198463,1872341,1872340,3198460,2781606,1613509,1613510,2781608,4619544,4627222,2787097,2787096,1874800,1874799,3202014,5243391,8173929,7316532,4618707,4618708,254741945,7137421,4618830,2781216,2781215,4618826,7316689,4620547,2782289,2782286,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209765,3209768,4748447,2861688,1660816,944960,944959,1660813,1863931,1863932,3185051,4970924,3183830,3183828,5219270,8147228,8151318,8151317,12076217,8120627,8120628,11902707,11720972,7823263,4965132,2998850,2998849,4965127,7823256,11720968,15905212,11026592,7300768,4605233,2771496,2771497,3185416,1864135,1063498,1063496,1864122,1864145,1864144,3185429,5221825,5221882,7511657,4748412,2861668,2861669,3256430,1912929,1912930,3256432,5267991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14250194, s2 = 14886993, dlinesl.size( ) = 2 s1 = 14250194, s2 = 14886993, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14250194, Dl.E( ) = 42, 2.6e-05 seconds used appending s1 = 11309609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309609, s2 = 13008703, int(edited[s2]) = 0 s1 = 11309609, s2 = 13008703, d1 = 0, d2 = 11 Dl.O(d1) = 259699194 Dl.O(d2) = 59468555,59468556,72206216,63327234,63327235,74669203,87964657,270401741,50387827,50387828,257523854,41181028,32365260,24748637,18275122,12970687,12970686,18275119,24748634,32168464,32168465,256580315,24582596,24582597,256580317,269442131,52795974,268752297,25640441,19023576,19023577,25640444,32365202,24748587,24748588,32365205,40948150,32365225,24748607,18275096,18275099,24748611,256593153,24748604,24582605,18139046,18139045,18139027,255614159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309609, s2 = 13008703, dlinesl.size( ) = 2 s1 = 11309609, s2 = 13008703, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11309609, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11309851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309851, s2 = 11185034, int(edited[s2]) = 0 s1 = 11309851, s2 = 11185034, d1 = 7, d2 = 1 Dl.O(d1) = 114691864 Dl.O(d2) = 86672545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309851, s2 = 11185034, dlinesl.size( ) = 12 s1 = 11309887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13521753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10577811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8244637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8244637, s2 = 3443027, int(edited[s2]) = 0 s1 = 8244637, s2 = 3443027, d1 = 0, d2 = 19 Dl.O(d1) = 59583610 Dl.O(d2) = 113886086,113886087,260143642,101076321,257673052,49313786,39386136,30784088,23359100,23359099,30784085,39386131,49313779,57866482,65389101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8244637, s2 = 3443027, dlinesl.size( ) = 22 s1 = 11310317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11310317, s2 = 11432548, int(edited[s2]) = 0 s1 = 11310317, s2 = 11432548, d1 = 0, d2 = 13 Dl.O(d1) = 128744966 Dl.O(d2) = 262767381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11310317, s2 = 11432548, dlinesl.size( ) = 14 s1 = 11310647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11310647, s2 = 11372504, int(edited[s2]) = 0 s1 = 11310647, s2 = 11372504, d1 = 43, d2 = 2 Dl.O(d1) = 272449872,73266707,86878711,260065065,128806807 Dl.O(d2) = 173177155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11310647, s2 = 11372504, dlinesl.size( ) = 44 s1 = 11310661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11310683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11310749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11310761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11310761, s2 = 10628730, int(edited[s2]) = 0 s1 = 11310761, s2 = 10628730, d1 = 22, d2 = 17 Dl.O(d1) = 114923851,100873705,86894280,73283768,60539942,49140040,255080038,30616526,254768926,16488275,16488274,255338310,38642222,47192915,37284399,37284400,47192913,37284817,37284818,37270292,37270291,28737941,28737942,37270313,38921902,38921901,48842469,60236772,60731127,60236803,48842497,267883748,28737917,21480262,15477186,10702828,10702827,15477182,21480253,28737903,22934993,16700107,16700106,22934992,29834705,29834704,38406574,34260492,26382667,19648221,19648220,26382666,34260474,43350993,255902120,29834712,38406586,43350946,34250889,26373740,26373742,26373807,19640424,14076632,14076630,19640423,26373803,34250960,43351013,42730095,33700294,25894285,25894286,33700296,42730096,34250920,26382655,19648210,14083148,14083147,19276533,13779271,9447234,9447235,13779272,9681665,9681664,14076634,19640426,26373808,26374034,26374035,25894292,25894291,19467725,13932549,9563349,6275449,254302800,254662251,13688751,19169363,25819528,33619980,42647587,53098216,47941715,42730595,42730596,43351347,43351348,38294144,29727198,29727199,26373943,19640516,19640517,26373945,34251142,26373930,19640509,14076680,9681692,9681695,14076682,19640511,19640559,14076709,9681713,6367842,6367840,9681708,14076704,19640551,255280926,53876544,65944200,70455292,70455291,65552360,65552361,76132356,63126894,51429634,41231853,41231854,32407135,24782550,18301193,12990547,12990546,18301191,256574969,31152545,23665237,17347690,12220597,12220599,17347696,23665249,31152564,24777292,24777289,25013615,32696043,31152538,23665232,17347683,17347682,23665228,24656276,24656275,31152635,254891880,31152672,23665347,23665348,25740214,19106828,13641995,9341751,9341752,13641996,19106830,24878012,18485426,13132867,8950513,5842046,3645582,3645581,5842043,8950508,13132841,18485382,25014302,19321980,13816488,13816486,267776060,8250673,5322417,5322418,8250678,12220640,17347769,23665371,18197640,12907377,12907376,18197633,23665334,23665333,31152649,39835302,39835316,31152658,31152660,32696709,39835281,31152631,31152630,39835205,31152552,31152551,257829387,270025475,106864175,121132269 Dl.O(d2) = 114923850,100873705,86894279,73283768,60539941,49140040,268738377,1290297,254202741,3714884,257181771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11310761, s2 = 10628730, dlinesl.size( ) = 8 s1 = 11311063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311063, s2 = 11250216, int(edited[s2]) = 0 s1 = 11311063, s2 = 11250216, d1 = 5, d2 = 11 Dl.O(d1) = 261005976 Dl.O(d2) = 98443273,98443275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311063, s2 = 11250216, dlinesl.size( ) = 20 s1 = 11311231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14053751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053751, s2 = 11311232, int(edited[s2]) = 0 s1 = 14053751, s2 = 11311232, d1 = 7, d2 = 7 Dl.O(d1) = 259593870,47791241,59191507,60523340,256117898,30597670,23178547,23178548,30597671,30840198,23410573,23410572,24018056,31519622,33301337,25539178,25539182,33301346,40870016,32098263,24523017,18091780,18091778,24523009,32098255,40870005,38809842,38809843,42299952,46749650,39529376,39529378,33301782,25539616,18927292,18927293,25539620,23990228,23990230,18994252,13554607,13554608,18994245,25606793,33371598,28084214,28084216,28374155,36870927,38146975,268749259,18926457,25538513,29323931,36519559,29753231,29753233,30433308,26161062,26161063,34002793,29851346,27005004,27005005,33472773,25699815,25699814,33472770,30802321,23374730,20012790,14332817,9845890,9845893,14332827,15068599,10391918,6849154,6849153,10391913,15068593,10463195,10463194,15171001,21117508,28327603,29321495,37889637,42557377,37702484,29141591,21833870,15765091,10918295,10918294,15765089,21833867,29141587,29086553,21789123,15730897,15730898,21789126,29086558,37636319,269325335,47625470,37702473,29141578,21833855,21833854,25597187,25597188,25597192,18987005,18987004,256139633,42339199,52726260,64626405,77808909,91736605,105944049,113309214,113485704,113309211,113309212,117341333,103211407,89122802,75375908,75375907,62461317,62461316,75375905,85528805,99475209,113485701,103211403,99475213,99475212,105944052,259051302,77808912,91736607,105944054,91926306,91926307,106118900,99475196,85528784,71940948,59201717,59028139,59028138,71770850,71940994,85528830,85528797,85528796,85528831,99475192,99475191,85528794,71940954,71940953,85528793,99475202,85528827,71940993,258729661,59201703,47801957,37878142,29309310,21981683,21981682,29309308,29309359,21981729,21981730,29309361,29309337,21981712,21981711,268395480,47801927,47801928,37878146,29309312,21981728,15886242,15886243,21981690,256373047,256373045,47801945,37878167,37878166,47801972,59201713,71940946,77304865,64156510 Dl.O(d2) = 259593870,47791241,59191507,60523340,256117898,30597670,23178547,23178548,30597671,30840198,23410573,23410572,24018056,31519622,33301337,25539178,25539182,33301346,40870016,32098263,24523017,18091780,18091778,24523009,32098255,40870005,38809842,38809843,42299952,46749650,39529376,39529378,33301782,25539616,18927292,18927293,25539620,23990228,23990230,18994252,13554607,13554608,18994245,25606793,33371598,28084214,28084216,28374155,36870927,38146975,268749259,18926457,25538513,29323931,36519559,29753231,29753233,30433308,26161062,26161063,34002793,29851346,27005004,27005005,33472773,25699815,25699814,33472770,30802321,23374730,20012790,14332817,9845890,9845893,14332827,15068599,10391918,6849154,6849153,10391913,15068593,10463195,10463194,15171001,21117508,28327603,29321495,37889637,42557377,37702484,29141591,21833870,15765091,10918295,10918294,15765089,21833867,29141587,29086553,21789123,15730897,15730898,21789126,29086558,37636319,269325335,47625470,37702473,29141578,21833855,21833854,25597187,25597188,25597192,18987005,18987004,256139633,42339199,52726260,64626405,77808909,91736605,105944049,113309214,113485704,113309211,113309212,117341333,103211407,89122802,75375908,75375907,62461317,62461316,75375905,85528805,99475209,113485701,103211403,99475213,99475212,105944052,259051302,77808912,91736607,105944054,91926306,91926307,106118900,99475196,85528784,71940948,59201717,59028139,59028138,71770850,71940994,85528830,85528797,85528796,85528831,99475192,99475191,85528794,71940954,71940953,85528793,99475202,85528827,71940993,258729661,59201703,47801957,37878142,29309310,21981683,21981682,29309308,29309359,21981729,21981730,29309361,29309337,21981712,21981711,268395480,47801927,47801928,37878146,29309312,21981728,15886242,15886243,21981690,256373047,256373045,47801945,37878167,37878166,47801972,59201713,71940946,77304865,64156510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053751, s2 = 11311232, dlinesl.size( ) = 2 s1 = 14053751, s2 = 11311232, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14053751, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11311359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311359, s2 = 12264388, int(edited[s2]) = 0 s1 = 11311359, s2 = 12264388, d1 = 20, d2 = 33 Dl.O(d1) = 129040753,139453901,260551884,112227449,259332774,70783386,259276771 Dl.O(d2) = 261565731,260988900,259784398,148401940,135236475,121386571,107089298,258696100,257051214,33865004,26042964,26042963,33865002,257245205,65380948,78685567,92748858,101597869,257498410,78685512,65380908,53376936,42910560,42910558,53376929,65380898,78685490,92748762,92748799,92748798,107089175,121386433,125435832,111632808,259490162,78685531,78685530,81293046,67827045,67827044,81293043,95349497,107089272,92748863,78685569,78685568,92748861,107089269,121386544,135236435,135236445,141944098,154588382,141944091,128583037,114685782,114685784,128583042,126271840,112408745,98419833,84498157,84498156,70934032,58216780,258036691,84498167,98419847,112408760,126271857,128582994,141944061,154588361,166308887,162660067,150541256,137512357,123790051,123790052,111632765,259969494,125435832,111632808,259490162,78685531,78685530,81293046,67827045,67827044,81293043,95349497,107089272,92748863,78685569,78685568,92748861,107089269,121386544,135236435,135236445,141944098,154588382,141944091,128583037,114685782,114685785,257907050,115933685,257307278,98419847,112408760,126271857,128582994,141944061,154588361,260988888,135236466,135236467,261552052,259784336,129679416,115782915,101737766,101737765,259322624,143007126,148401858,148401842,260575566,142840381,129523343,257498422,87630886,74027076,61246962,61246960,74027066,74027065,87630869,87630870,101597863,115638213,121386561,259156698,92748871,92748870,98419956,98419961,112408897,114685730,114685731,259784380,258527390,127464493,115933683,258527410,84498159,98419835,87042400,87042399,95349575,81293101,81293102,84498270,84498199,84498200,98419878,84498221,70934065,58216805,46848871,36970052,28471645,28471644,36970048,46848864,58216794,70934052,70934076,84498235,98419925,112408856,126271949,139642625,148401925,260575554,261670654,164236445,152363378,139642574,126271888,126271889,121386446,107089183,92748805,78685528,65380920,53376944,257461520,73441537,73441536,87059555,101055608,115130248,129057985,129040742,115113222,101038703,259156792,129040744,128582988,114685729,100640328,257907072,73061781,86667138,92748685,107089042,95349587,95349586,109602143,113588394,256216642,85621212,256741856,259713245,258837496,257607112,28471647,256848541,258036695,84498231,98419920,101530614,87572829,258234656,101530624,115559962,257907018,128583048,114685793,259156754,86667171,100640369,259156752,109602040,95349495,95349496,107089256,92748852,92748853,101737726,87765140,87765141,101737729,101038689,258830972,60676497,49275503 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14671086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11311655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311655, s2 = 11453050, int(edited[s2]) = 0 s1 = 11311655, s2 = 11453050, d1 = 4, d2 = 7 Dl.O(d1) = 259465917,259465919,115206855 Dl.O(d2) = 261801715,166852778,176078032,263539423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311655, s2 = 11453050, dlinesl.size( ) = 2 s1 = 11311655, s2 = 11453050, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11311655, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 14201595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13625846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13625846, s2 = 14138440, int(edited[s2]) = 0 s1 = 13625846, s2 = 14138440, d1 = 1, d2 = 1 Dl.O(d1) = 62193728,50676304,50676303,269013733,40619551,40619546,31905827,24374644,17976518,255601813,31905826,40619544,50676302,62193717,50676288,50676280,40619527,31905814,256563619,50676278,258305847,88662009,75701248,75701249,89466181,260168411,130593427,130593428,117699317,117699318,117699319,117699320,131505190,144731288,272919055,130593435,130593436,143905030,143905031,141350918,127988224,127988223,141350916,261452208,141350923,141350922,154020148,165787036,155165144,142521771,129145713,115215134,101138131,101138130,101138132,87139997,73521015,60772069,60772070,73521018,87140003,101138144,115215148,261256755,272589728,129145715,142521773,155165145,166857183,263216785,177404088,177404087,186719657,194833043,199008585,201776103,199008582,191587465,182953593,173068465,173068462,161915572,149617135,136350070,272440057,161915566,161915567,149617145,136350082,136350081,149617142,161915581,161915575,260663028,122365115,107937992,93500090,79363070,65995317,53925764,53925765,65995319,79363074,93500095,79363073,79363072,93500094,259446908,93500075,79363058,65995307,53925757,43399988,43399987,34299387,34299386,43399991,53925762,65995313,79363065,93500085,107937985,122365109,136350068,149617130,149617129,161915562,149617141,136350078,136350077,149617140,149617154,136350090,136350089,149617151,272211298,176178635,165500360,153721934,153721935,143414137,270841718,134857581,121057855,106802208,106802207,259524096,99822916,85870161,257522430,88133353,74521230,61739402,61739401,61739398,50260894,268636246,74521221,74521222,88133347,99822904,99822903,113837450,127706302,141055591,153721928,165500353,176178626,185639133,193893144,200967441,264219660,215890722,219222416,222034167,224448418,226545440,226545439,228372732,265997161,232676170,233314992,234408569,235404039,236312226,236403732,235503872,234517744,233435535,232244137,265371528,227792910,225903650,223737647,221238136,221238137,223737649,223737650,225903654,225774483,223584160,223584161,221056997,264734912,210294650,263866614,191245821,191245820,264105477,210294643,214580209,210632203,205470105,199230097,191855093,183280417,183280416,183280421,173473486,162430929,150295415,137255441,258070498,95078945,81019950,81019949,93246704,81019951,67550345,55206560,44355914,34978204,26898809,26898814,28852210,26898820,20016783,14336013,14336014,20016786,15102494,15102496,21026519,20103661,20103660,26994344,25556987,18943852,13507262,13507250,13507251,18943822,25556942,26899029,26898986,20016910,14336089,255047938,26898988,33996161,33318969,30438579,23031808,16788948,16788947,23031806,30438575,33318962,33318963,39028050,39028049,48950418,48082300,38169475,34587200,26600259,19794044,19794045,23456872,17178809,12078694,12078695,17178813,16275501,16275502,22444313,28913013,21638803,21638802,26600254,19794039,19794038,26600247,34587181,35240239,27143770,255614694,255301483,255301481,26254265,34119025,43206241,53718537,65775829,256161256,255287506,21684568,254455120,8817835,5744603,5744602 Dl.O(d2) = 62193728,50676304,50676303,269013733,40619551,40619546,31905827,24374644,17976518,255601813,31905826,40619544,50676302,62193717,50676288,50676280,40619527,31905814,256563619,50676278,258305847,88662009,75701248,75701249,89466181,260168411,130593427,130593428,117699317,117699318,117699319,117699320,131505190,144731288,272919055,130593435,130593436,143905030,143905031,141350918,127988224,127988223,141350916,261452208,141350923,141350922,154020148,165787036,155165144,142521771,129145713,115215134,101138131,101138130,101138132,87139997,73521015,60772069,60772070,73521018,87140003,101138144,115215148,261256755,272589728,129145715,142521773,155165145,166857183,263216785,177404088,177404087,186719657,194833043,199008585,201776103,199008582,191587465,182953593,173068465,173068462,161915572,149617135,136350070,272440057,161915566,161915567,149617145,136350082,136350081,149617142,161915581,161915575,260663028,122365115,107937992,93500090,79363070,65995317,53925764,53925765,65995319,79363074,93500095,79363073,79363072,93500094,259446908,93500075,79363058,65995307,53925757,43399988,43399987,34299387,34299386,43399991,53925762,65995313,79363065,93500085,107937985,122365109,136350068,149617130,149617129,161915562,149617141,136350078,136350077,149617140,149617154,136350090,136350089,149617151,272211298,176178635,165500360,153721934,153721935,143414137,270841718,134857581,121057855,106802208,106802207,259524096,99822916,85870161,257522430,88133353,74521230,61739402,61739401,61739398,50260894,268636246,74521221,74521222,88133347,99822904,99822903,113837450,127706302,141055591,153721928,165500353,176178626,185639133,193893144,200967441,264219660,215890722,219222416,222034167,224448418,226545440,226545439,228372732,265997161,232676170,233314992,234408569,235404039,236312226,236403732,235503872,234517744,233435535,232244137,265371528,227792910,225903650,223737647,221238136,221238137,223737649,223737650,225903654,225774483,223584160,223584161,221056997,264734912,210294650,263866614,191245821,191245820,264105477,210294643,214580209,210632203,205470105,199230097,191855093,183280417,183280416,183280421,173473486,162430929,150295415,137255441,258070498,95078945,81019950,81019949,93246704,81019951,67550345,55206560,44355914,34978204,26898809,26898814,28852210,26898820,20016783,14336013,14336014,20016786,15102494,15102496,21026519,20103661,20103660,26994344,25556987,18943852,13507262,13507250,13507251,18943822,25556942,26899029,26898986,20016910,14336089,255047938,26898988,33996161,33318969,30438579,23031808,16788948,16788947,23031806,30438575,33318962,33318963,39028050,39028049,48950418,48082300,38169475,34587200,26600259,19794044,19794045,23456872,17178809,12078694,12078695,17178813,16275501,16275502,22444313,28913013,21638803,21638802,26600254,19794039,19794038,26600247,34587181,35240239,27143770,255614694,255301483,255301481,26254265,34119025,43206241,53718537,65775829,256161256,255287506,21684568,254455120,8817835,5744603,5744602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13625846, s2 = 14138440, dlinesl.size( ) = 2 s1 = 13625846, s2 = 14138440, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13625846, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14138439, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14946442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11311759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311759, s2 = 11065036, int(edited[s2]) = 0 s1 = 11311759, s2 = 11065036, d1 = 17, d2 = 18 Dl.O(d1) = 259467681 Dl.O(d2) = 49385103,39457077,255984757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311759, s2 = 11065036, dlinesl.size( ) = 2 s1 = 11311759, s2 = 11065036, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11311759, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 11311795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311795, s2 = 11335492, int(edited[s2]) = 0 s1 = 11311795, s2 = 11335492, d1 = 20, d2 = 14 Dl.O(d1) = 263218135,264800111,265147256,199204692,263449678,162400764,150263188 Dl.O(d2) = 259195482,80980983,78982065,66057785,58419268,47044513,47044518,47044620,37153952,37153956,30471835,30471833,34794075,34794073,44127955,54943612,54043003,54043005,63807447,54040726,43478395,43478400,34437953,34437954,34438129,26508175,26508179,34438196,43625324,54266391,66439646,54496996,54496995,66734885,72772720,66753108,66753110,80179210,94246795,93555006,262756775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311795, s2 = 11335492, dlinesl.size( ) = 22 s1 = 14105965, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11311959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311959, s2 = 11042340, int(edited[s2]) = 0 s1 = 11311959, s2 = 11042340, d1 = 29, d2 = 34 Dl.O(d1) = 271000704,39506127,49436956,60838545,259472475,115289890,112787560,98795324 Dl.O(d2) = 97811959,84867083,84867082,71292867,58560823,47171820,268615383,21475904,15473316,15473317,21475907,21475908,23045943,16800119,11746876,11746875,16800118,21258508,21258498,21258497,28458974,21233506,15264237,15264236,15472301,15472300,10699819,7068961,7068962,267998974,13536922,13536923,10551588,10551589,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,752482,1319001,752428,752426,1318994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311959, s2 = 11042340, dlinesl.size( ) = 30 s1 = 11312081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312081, s2 = 11387386, int(edited[s2]) = 0 s1 = 11312081, s2 = 11387386, d1 = 6, d2 = 18 Dl.O(d1) = 129249145,142618928 Dl.O(d2) = 261265017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312081, s2 = 11387386, dlinesl.size( ) = 14 s1 = 11312167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312167, s2 = 11465524, int(edited[s2]) = 0 s1 = 11312167, s2 = 11465524, d1 = 13, d2 = 17 Dl.O(d1) = 261268193 Dl.O(d2) = 263223805,273819354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312167, s2 = 11465524, dlinesl.size( ) = 14 s1 = 11312303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312303, s2 = 10677916, int(edited[s2]) = 0 s1 = 11312303, s2 = 10677916, d1 = 4, d2 = 11 Dl.O(d1) = 260383572 Dl.O(d2) = 257046369,35375612,35375611,35375610,27250980,256238973,44800278,55707490,49911812,39891554,39891555,37919981,29352350,255443683,254760465,7316726,11042146,15919761,22020947,29352278,24688537,24688538,28209878,21016775,255012115,10410780,15094811,12146930,268106889,23579281,31062995,35375612,35375611,35375610,27250980,256238973,44800278,55707490,49911812,39891554,39891555,37919981,29352350,255443683,254760465,7316726,11042146,15919761,22020947,29352278,24688537,18221233,12924075,8791867,5726665,3565501,2124982,2124981,3565499,5726662,8791864,12924071,254986777,10033415,14581366,255761403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312303, s2 = 10677916, dlinesl.size( ) = 2 s1 = 11312303, s2 = 10677916, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11312303, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 10677917, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11312533, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11312577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312577, s2 = 14158420, int(edited[s2]) = 0 s1 = 11312577, s2 = 14158420, d1 = 61, d2 = 2 Dl.O(d1) = 271874536 Dl.O(d2) = 438350,438354,441947,779028,1367931,2362362,3945703,6298256,9593425,13970730,19516971,26233130,34095310,37448909,28909389,28909388,25303648,21910599,21910595,256365889 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15644760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15644760, s2 = 14097465, int(edited[s2]) = 0 s1 = 15644760, s2 = 14097465, d1 = 0, d2 = 0 Dl.O(d1) = 229428907,229428908,230904638,232226550,233419550,232897338,274604181,230248362,265750941,222491046,219745034,216492567,264808411,207774778,273886743,195038200,186953128,177672309,262801905,155540667,142991406,129663655,115766902,101721823,259493185,258246547,49882484,39859353,31176622,23687666,268676391,61363946,59547215,52405262,42061451,33112417,25377138,19686859,14114736,9710374,6388015,4008832,4008835,6388030,9497201,9428640,6214900,3889996,3889993,3954164,6309263,6220479,6220480,9485853,268155461 Dl.O(d2) = 229428907,229428908,230904638,232226550,233419550,232897338,274604181,230248362,265750941,222491046,219745034,216492567,264808411,207774778,273886743,195038200,186953128,177672309,262801905,155540667,142991406,129663655,115766902,101721823,259493185,258246547,49882484,39859353,31176622,23687666,268676391,61363946,59547215,52405262,42061451,33112417,25377138,19686859,14114736,9710374,6388015,4008832,4008835,6388030,9497201,9428640,6214900,3889996,3889993,3954164,6309263,6220479,6220480,9485853,268155461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15644760, s2 = 14097465, dlinesl.size( ) = 2 s1 = 15644760, s2 = 14097465, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15644760, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15891263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14097466, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11312811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312811, s2 = 11047406, int(edited[s2]) = 0 s1 = 11312811, s2 = 11047406, d1 = 16, d2 = 0 Dl.O(d1) = 259495157 Dl.O(d2) = 61381565,268749328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312811, s2 = 11047406, dlinesl.size( ) = 20 s1 = 11312825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312825, s2 = 11908031, int(edited[s2]) = 0 s1 = 11312825, s2 = 11908031, d1 = 0, d2 = 0 Dl.O(d1) = 258278846,74163480,87650982,101617838,101741286 Dl.O(d2) = 258278846,74163480,87650982,101617838,101741286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312825, s2 = 11908031, dlinesl.size( ) = 2 s1 = 11312825, s2 = 11908031, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11312825, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11908032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11312913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11312985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11313047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11313201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11313201, s2 = 13165260, int(edited[s2]) = 0 s1 = 11313201, s2 = 13165260, d1 = 40, d2 = 2 Dl.O(d1) = 129759864,143088846,143088847,129759867,115861401,101815268,101815267,115861399,115861396,101815266,272202654,143088849,129759867,129759865,115861397,101815266 Dl.O(d2) = 39961902,255876460,13782230,9936306,6530647,4091987,2448190,2448189,4091985,6530644,9936301,14443808,13705431,13705430,11004353,7284686,4593954,2763769,2763764,4593938,7284655,8908267,13072852,9122539,5969348,3733098,2235166,2235167,3733101,5969351,9122542,9413533,255029767,6995287,4396197,267882123,9125601,9125602,12826210,12826209,14422579,12776576,8684819,5651631,3513895,2089491,1201688,676875,675682,675683,379144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11313201, s2 = 13165260, dlinesl.size( ) = 12 s1 = 11313303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11313303, s2 = 10590107, int(edited[s2]) = 0 s1 = 11313303, s2 = 10590107, d1 = 14, d2 = 27 Dl.O(d1) = 129784426 Dl.O(d2) = 5588627,3724239,3724238,5587293,8598596,9063455,8050917,8050918,6758573,6758574,5588018,5588019,8599712,12664201,9086643,9086642,13305021,14977993,13310469,13310468,13323053,9103034,9103035,13323054,17781492,12584465,8536963,254415403,2019991,1155778,1155779,2019998,3420476,5534979,4858386,2927809,254363525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11313303, s2 = 10590107, dlinesl.size( ) = 32 s1 = 11313477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11313477, s2 = 14103284, int(edited[s2]) = 0 s1 = 11313477, s2 = 14103284, d1 = 32, d2 = 27 Dl.O(d1) = 115939083,261292422,23866616,256523067,23784413,17453957,17453958,23784415,31269657,38445691,29889333,22534968,22534969,23781452,17451258,12301866,12301867,17451259,23781455,31266529,39941358,43034526,39944590,39944592,34985104,26904831,22164261,22164262,20328348,20328349,257716817,268916517,15347364,12824897,8719388,8719389,254939950,15381018,15347573,10601725,6994751,6569497,6569498,4405346,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235233,3733248,5969641,4405463,2640838,2640837,4405461,5968905,6519000,9919108,14420586,10606661,10606663,13352120,10606907,10606908,6998540,6998541,9122355,13350082,14420851,14527493,14418502,9916950,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167867,9413799,272091960 Dl.O(d2) = 262503365,271812320,26395902,19661793,14093551,14093550,19661790,26395901,23392660,17120821,17116769,12028524,8089199,8089203,6374471,6374470,9691384,14089317,9690793,9690790,9759764,7132469,7132468,10795226,15604143,19655897,19661098,14092996,9693199,6375425,6375423,8089689,8089686,12033386,17123284,255100736,5067937,254253437,1791345,1807130,1032160,581710,581709,1032159,1807128,2713991,2713990,4516243,7170418,7170841,5088953,3087942,3087943,1854914,1854913,3168115,3057386,3057387,5047198,7934900,7934901,7955652,267740364,7973077,7973078,11890832,16964658,16964657,11888511,11888512,254569690,267902832,7947557,6000344,6000345,7992107,254568604,17026238,18822055,13409240,13409233,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590973,1050687,1841193,3147545,5165191,8071383,11924404,11924403,15716431,15653656,10834785,254386008,11316231,16274233,22442683,29809471,38381595,38378630,29806830,22440500,16272617,16272618,22440501,258765829,99967736,113991136,261186299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11313477, s2 = 14103284, dlinesl.size( ) = 34 s1 = 11313731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11313769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11313769, s2 = 14284913, int(edited[s2]) = 0 s1 = 11313769, s2 = 14284913, d1 = 1, d2 = 12 Dl.O(d1) = 115987105 Dl.O(d2) = 23921813,17580644,12408629,12408628,15981665,17398749,17398748,18966346,17562120,12391181,8403085,8403083,12433543,17402926,14447903,11825502,7902970,5023671,5023668,5589960,5405884,5405885,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367983,12258208,12258209,17394637,22754548,16543287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11313769, s2 = 14284913, dlinesl.size( ) = 2 s1 = 11313769, s2 = 14284913, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11313769, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11313909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11314011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11314011, s2 = 15011665, int(edited[s2]) = 0 s1 = 11314011, s2 = 15011665, d1 = 1, d2 = 3 Dl.O(d1) = 261301711 Dl.O(d2) = 177980516,187229722,195282153,264290835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11314011, s2 = 15011665, dlinesl.size( ) = 2 s1 = 11314011, s2 = 15011665, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11314011, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11314201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11314201, s2 = 11063000, int(edited[s2]) = 0 s1 = 11314201, s2 = 11063000, d1 = 5, d2 = 13 Dl.O(d1) = 116146614 Dl.O(d2) = 255578308,49310924,255578306,256472506,3130495,3130494,2820021,1636031,1636032,2820027,4680543,7407505,8035263,8035262,11329676,7526657,254780711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11314201, s2 = 11063000, dlinesl.size( ) = 14 s1 = 11314317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11314317, s2 = 10987042, int(edited[s2]) = 0 s1 = 11314317, s2 = 10987042, d1 = 5, d2 = 11 Dl.O(d1) = 261306879 Dl.O(d2) = 131022065,117224067,269876866,268443642,18013757,12766786,8677197,8677196,11405504,254186972,19362094,19362095,26040575,29564899,29522971,22180419,16054212,16054210,22180414,22568333,24279080,17898720,12678903,8610990,8610985,12678895,254859230,26288459,26288460,33773543,33693907,267849758,9409809,6165239,3857802,2311240,2311239,3857800,6165235,6165254,3857811,2311246,2311245,254454475,9409835,13735356,19227290,22117183,16004240,11110816,7369029,4655239,2804471,2804470,4655236,7369024,9410750,254441848,12589546,8541290,5539054,267914817,12589542,12301272,12301275,12233993,8512298,8512297,254279224,24102752,25526943,23712224,17388629,12253517,8275592,8275594,12253522,17388636,17752433,12560916,12560915,17752427,17422935,17362470,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,8306521,8515955,8515956,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,17740764,24099403,24099402,19699882,14124895,9717650,9717649,8293819,5350694,254268639,1933937,3288555,5350696,8293823,12274942,8289698,5347820,5347819,7031871,5531923,3417493,3417492,5531919,8533875,11131800,16032030,22151740,29490458,31273776,23788206,256515835,269396571,22854710,22856891,16631072,11600936,11600937,16631074,22856893,30251754,38835542,257399594,12410215,8387633,5412512,3327122,3327124,5412560,8387723,12410116,13507731,11393388,10017389,10017387,12434894,17568298,12396694,8377774,5406686,5406685,8377761,12396674,12256172,8277297,5411898,3326760,1956444,1956442,1960594,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825456,8381501,8381499,12401931,10570943,10570941,7902753,5023537,5023536,7902750,11825203,16897713,16651486,12648788,12648786,15488107,15488108,12380141,11016345,11016344,11618929,8273005,7737528,7574185,7574187,10555148,10555146,11618545,8287404,5346261,5346258,8287385,12272472,14452214,255018139,10479258,255811207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11314317, s2 = 10987042, dlinesl.size( ) = 12 s1 = 13706803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3737774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11315001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11315007, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14250358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14250358, s2 = 7199988, int(edited[s2]) = 0 s1 = 14250358, s2 = 7199988, d1 = 11, d2 = 15 Dl.O(d1) = 261149350,259353922,258105028,268396758,254517842,6996073,4396684,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,254318259,1422918,809490,809491,1422920,2461605,4115392,6569481,9920049,14419863,254689791,6517453,6517452,268025690,18090808,13993824,9920204,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,2235238,3733236,254646001,9996305,6569731,6569730,9996303,9996472,9996470,14419923,9918401,9384966,9384967,13702466,18049994,15348957,14527785,9996463,9920231,6519887,4085140,2444095,2444094,4085137,6519882,254976045,19186555,13702471,9384972,9384971,9165232,5998629,5998630,9165236,13405602,16684495,13158752,13158751,13350604,9122863,9122862,9552237,9123417,6267813,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420612,740021,739839,739840,1296209,2235045,3732853,5968907,5717661,5717660,5969372,5969370,9122572,267891575,254238279,940200,940201,1653004,1702225,2935092,2935091,4870724,7609100,7609101,7613968,4817192,2929678,2929679,4861786,7683769,7328875,4629724,2789099,2789100,1618261,1618259,2789277,2789275,4630039,7329256,4629980,4629982,4796405,4796410,254537551,4796365,4796416,7583108,254784037,4796319,4796318,7582957,9119761,5967329,3731544,3731545,5967332,7614759,7614758,11449336,16434214,255102489,4810748,2899363,1682200,1682199,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,2452099,1417649,1417644,2452138,4099218,6543030,9955367,14469432,14575787,16428179,11446243,11446242,255483287,29982655,269886062,259403529 Dl.O(d2) = 261198739,262259661,263916191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14250358, s2 = 7199988, dlinesl.size( ) = 16 s1 = 13683863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13683863, s2 = 15123556, int(edited[s2]) = 0 s1 = 13683863, s2 = 15123556, d1 = 0, d2 = 0 Dl.O(d1) = 156194460,143663975,261322143,130338452,130338546,130338387,130338388,261863785,262839079,167790295,262369317,156194479,143663987,130338539,130338517,130337419,116500695,102405402,102405401,116500693,116501682,102406505,88406238,74774654,74774650,88406230,260751475,130338553,130338547,130338548,116501733,116501732,130338550,143664002,156194496,261863801,261322141,116501652,102406479,260154167,130338441,143663865,143662842,130337420,261322021,156193336,262369257,261322131,116501613,116501614,130338385,143663791,273396540,260751467,102406466,258915079,61978342,50486133,40449798,31754865,31754866,40449800,50486136,61978350,74774661,88406250,102406528,116501718,261322149,130338393,130338394,143663788,143663789,273587332,167789315,156194396,156194397,262369283,156194372,155542924,142993797,142993794,129665934,129665935,142993795,129665937,115769103,101723932,101723931,258869351,61366593,49885858,39863694,39863693,39863690,31181242,23691459,17368943,12236854,8262784,5330938,3276800,3276799,5330936,8262782,12236852,17368942,23691457,31181241,257055262,49885848,61366588,269868788,61366583,61366582,61366584,74146962,74146964,74146963,73336238,60591837,49191527,39265418,256162700,16991202,11905863,7963340,254455558,15730065,21788398,29085889,37635707,47540929,57633392,52402732,42058821,33109598,25374266,18789406,13382880,9147584,5986159,5986158,9147578,13382870,18789394,25374252,33109577,40306949,38382957,30019770,28524836,21609783,21609784,21780865,21138352,21138353,28352257,36849888,28529538,21307214,15337550,10593224,10593225,15337552,21307218,28529544,30145893,22758950,16546936,16546937,22758952,21609734,15580818,10778060,10778061,15580819,255848045,32176474,40955661,268948686,31178378,31178377,39861084,49884001,47652742,37730838,37730839,47652745,39862475,31179985,23690392,17368011,12236033,12236034,16613872,16613871,22834983,30226621,37027175,37027174,40515816,50552216,62044987,51097280,268707023,24588727,18143892,254889553,5696788,5696787,254889551,18143875,24588703,32174895,32176349,31178449,23689146,17367202,17367204,23689149,256508077,38268940,29702843,22348551,16198470,16198469,22348548,29702840,33049463,41992808,49839429,51097736,40955152,32175817,32175816,40955151,49087989,49087988,60491217,60490872,49087709,39158088,33334712,25805649,25805650,30443892,39033228,39033245,30443901,23036444,23036443,257001083,60352003,257219406,70966324,58250056,58249950,58249948,70966210,70965890,58249532,58249533,257745109,256604535,32563186,41423101,42314606,37003456,28505491,28505493,33334134,28505513,21286548,21286546,28505508,37003478,46882351,58249548,70965904,84529247,84529245,84529246,98450978,112440288,126304857,139677367,262162201,175078144,184667276,193040845,264173269,211309347,215408321,218795271,218795281,215408333,211309353,211309354,215408317,264462601,263850047,184667274,184667272,193040841,200225716,206293037,211309342,215408313,218795261,218795274,221655766,221655768,218795276,218795257,218795256,218795264,215408331,215408330,218795279,219748339,216496121,216496122,265169057,218795275,221655757,265696049,265562890,218795267,221655757,221655762,218795281,215408333,211309353,206293048,264462605,212575382,216496122,219748342,219748339,264808715,207778274,201959475,201959476,207778276,212575382,216496122,265169057,218795275,221655757,221655762,218795281,215408333,211309353,211309354,215408317,264462601,263850047,184667274,184667272,193040841,200225717,206293039,211309344,215408314,215408331,264758874,193040848,193040847,200225726,206293043,211309345,264957069,211309349,206293046,200225724,200225723,264462603,215408323,265035267,212575376,212575377,215408335,211309356,264722755,206293035,200225714,200225716,206293037,211309342,215408313,218795261,218795274,221655766,221655768,218795276,218795257,215408308,265240153 Dl.O(d2) = 156194460,143663975,261322143,130338452,130338546,130338387,130338388,261863785,262839079,167790295,262369317,156194479,143663987,130338539,130338517,130337419,116500695,102405402,102405401,116500693,116501682,102406505,88406238,74774654,74774650,88406230,260751475,130338553,130338547,130338548,116501733,116501732,130338550,143664002,156194496,261863801,261322141,116501652,102406479,260154167,130338441,143663865,143662842,130337420,261322021,156193336,262369257,261322131,116501613,116501614,130338385,143663791,273396540,260751467,102406466,258915079,61978342,50486133,40449798,31754865,31754866,40449800,50486136,61978350,74774661,88406250,102406528,116501718,261322149,130338393,130338394,143663788,143663789,273587332,167789315,156194396,156194397,262369283,156194372,155542924,142993797,142993794,129665934,129665935,142993795,129665937,115769103,101723932,101723931,258869351,61366593,49885858,39863694,39863693,39863690,31181242,23691459,17368943,12236854,8262784,5330938,3276800,3276799,5330936,8262782,12236852,17368942,23691457,31181241,257055262,49885848,61366588,269868788,61366583,61366582,61366584,74146962,74146964,74146963,73336238,60591837,49191527,39265418,256162700,16991202,11905863,7963340,254455558,15730065,21788398,29085889,37635707,47540929,57633392,52402732,42058821,33109598,25374266,18789406,13382880,9147584,5986159,5986158,9147578,13382870,18789394,25374252,33109577,40306949,38382957,30019770,28524836,21609783,21609784,21780865,21138352,21138353,28352257,36849888,28529538,21307214,15337550,10593224,10593225,15337552,21307218,28529544,30145893,22758950,16546936,16546937,22758952,21609734,15580818,10778060,10778061,15580819,255848045,32176474,40955661,268948686,31178378,31178377,39861084,49884001,47652742,37730838,37730839,47652745,39862475,31179985,23690392,17368011,12236033,12236034,16613872,16613871,22834983,30226621,37027175,37027174,40515816,50552216,62044987,51097280,268707023,24588727,18143892,254889553,5696788,5696787,254889551,18143875,24588703,32174895,32176349,31178449,23689146,17367202,17367204,23689149,256508077,38268940,29702843,22348551,16198470,16198469,22348548,29702840,33049463,41992808,49839429,51097736,40955152,32175817,32175816,40955151,49087989,49087988,60491217,60490872,49087709,39158088,33334712,25805649,25805650,30443892,39033228,39033245,30443901,23036444,23036443,257001083,60352003,257219406,70966324,58250056,58249950,58249948,70966210,70965890,58249532,58249533,257745109,256604535,32563186,41423101,42314606,37003456,28505491,28505493,33334134,28505513,21286548,21286546,28505508,37003478,46882351,58249548,70965904,84529247,84529245,84529246,98450978,112440288,126304857,139677367,262162201,175078144,184667276,193040845,264173269,211309347,215408321,218795271,218795281,215408333,211309353,211309354,215408317,264462601,263850047,184667274,184667272,193040841,200225716,206293037,211309342,215408313,218795261,218795274,221655766,221655768,218795276,218795257,218795256,218795264,215408331,215408330,218795279,219748339,216496121,216496122,265169057,218795275,221655757,265696049,265562890,218795267,221655757,221655762,218795281,215408333,211309353,206293048,264462605,212575382,216496122,219748342,219748339,264808715,207778274,201959475,201959476,207778276,212575382,216496122,265169057,218795275,221655757,221655762,218795281,215408333,211309353,211309354,215408317,264462601,263850047,184667274,184667272,193040841,200225717,206293039,211309344,215408314,215408331,264758874,193040848,193040847,200225726,206293043,211309345,264957069,211309349,206293046,200225724,200225723,264462603,215408323,265035267,212575376,212575377,215408335,211309356,264722755,206293035,200225714,200225716,206293037,211309342,215408313,218795261,218795274,221655766,221655768,218795276,218795257,215408308,265240153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13683863, s2 = 15123556, dlinesl.size( ) = 2 s1 = 13683863, s2 = 15123556, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13683863, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 15123555, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11315191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315191, s2 = 11187868, int(edited[s2]) = 0 s1 = 11315191, s2 = 11187868, d1 = 18, d2 = 17 Dl.O(d1) = 258292378,40469862,42175824,33300573,256650789,34617810,26628234,19817040,14195151,9758263,6416230,6416228,6415838,4025177,4025176,6415856,9757557,14193918,18579404,17851062,12641838,12641837,12668359,17885317,22678600,30054899,26627395,19816353,19816354,24262045,23957362,21829000,21829001,29136258,28954022,21673503,15996951,15996952,22108469,29441985,33300545,33300544,31775888,31775889,40470624,40469530,38323095,29753618,22393117,22393116,18576152,13201174,13201173,18576147,13492940,13492941,14195158,14195157,18927139,13493100,12447387,8415650,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,13204112,9001278,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,26626582,34616197,40893730,43061447,53540460,256670404,41759032,43889496,42407508,33417347,33417348,31758463,26151334,19452807,19452805,26151313,26151315,32838861,32838862,41758569,38719977,38613938,30039331,22663735,16468992,11474774,11474776,16468979,16468951,16468953,15171600,10463509,6897210,6897206,10463488,15171559,21118413,21118561,28203172,23703138,17380545,12247711,8271952,5337617,3281126,3281124,5337607,8271929,9681766,6367875,6367876,9681773,11017162,7293758,7293755,11017155,15892124,257496301 Dl.O(d2) = 256340786,254705297,254705299,6796748,6796747,8135955,8135956,10305086,6776925,4247897,2539652,1463306,1463305,254707321,14972788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315191, s2 = 11187868, dlinesl.size( ) = 20 s1 = 11315355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11315429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315429, s2 = 11675882, int(edited[s2]) = 0 s1 = 11315429, s2 = 11675882, d1 = 6, d2 = 0 Dl.O(d1) = 262376381 Dl.O(d2) = 208135587,208135588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315429, s2 = 11675882, dlinesl.size( ) = 12 s1 = 11315475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315475, s2 = 10603544, int(edited[s2]) = 0 s1 = 11315475, s2 = 10603544, d1 = 7, d2 = 0 Dl.O(d1) = 259548115 Dl.O(d2) = 17932210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315475, s2 = 10603544, dlinesl.size( ) = 22 s1 = 11315593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091962, s2 = 10186319, int(edited[s2]) = 0 s1 = 14091962, s2 = 10186319, d1 = 9, d2 = 26 Dl.O(d1) = 98994658 Dl.O(d2) = 78367603,92403292,106709840,106709808,106709807,120963924,120963976,106709845,92403295,78367604,65085462,256566502,256566504,65085465,78367610,92403299,106709851,120963986,258311144,85068762,71496409,71496407,85068757,98994649,106709842,106709841,120963972,134761172,134761171,134761173,260177216,120963914,134761129,260774500,120963969,106709839,106709840,106709808,106709807,120963924,120963976,106709845,92403295,78367604,65085462,256566502,256566504,65085465,78367610,92403299,106709851,120963986,126838715,134761126,120963979,258935776,258935774,120963978,258935778,78367608,78367610,92403299,106709851,120963983,120963963,106709836,92403291,92403289,259562256,134761163,134761162,134761166,147881245,160132270,147881234,134761181,120963971,106709839,106709838,120963968,134761177,147881229,147881228,259562260,112984591,112984592,126838713,134761133,140187363,260774498,272402047,112984583,98994645,85068755,71496406,71496405,85068754,92403271,78367591,65085454,53099544,53099545,65085456,78367595,92403278,106709818,120963945,106709821,92403280,92403282,106709823,120963950,134761159,134761165,147881243,160132271,261344282,147881230,152878685,164710710,175465221,185006199,193337777,200488336,206527116,211518004,264310566,221811895,265060052,228210677,229828721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091962, s2 = 10186319, dlinesl.size( ) = 14 s1 = 11315943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315943, s2 = 11073018, int(edited[s2]) = 0 s1 = 11315943, s2 = 11073018, d1 = 22, d2 = 15 Dl.O(d1) = 258968730,19137993 Dl.O(d2) = 254452289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315943, s2 = 11073018, dlinesl.size( ) = 12 s1 = 11315961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315961, s2 = 11308394, int(edited[s2]) = 0 s1 = 11315961, s2 = 11308394, d1 = 23, d2 = 46 Dl.O(d1) = 117447643,103311709,258944011,50936234,260783963 Dl.O(d2) = 208288310,213007685,213007690,208288317,265449327,264236746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315961, s2 = 11308394, dlinesl.size( ) = 32 s1 = 11316003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11316497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316497, s2 = 10994430, int(edited[s2]) = 0 s1 = 11316497, s2 = 10994430, d1 = 3, d2 = 13 Dl.O(d1) = 131681317 Dl.O(d2) = 263646776,143647206,270918810,268263484,29832022,25321517,18742675,18742674,25321515,33049949,31862985,31862986,34007023,30109675,22728903,16523471,11515631,11515630,13307382,14598067,14598068,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,6749154,4228983,2528541,2528542,4228954,4228784,4228783,6748785,10269853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316497, s2 = 10994430, dlinesl.size( ) = 8 s1 = 11316579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316579, s2 = 11422528, int(edited[s2]) = 0 s1 = 11316579, s2 = 11422528, d1 = 5, d2 = 18 Dl.O(d1) = 131706282,142381420,129005884,115079134,259458057,73399443,60653138,49252766,39326500,30728727 Dl.O(d2) = 166014289,176655880,186072618,262781241,155080190,142435970,129062216,115134522,101059995,260078137,129062214,142435966,155080185,157513353,157513351,155080166,262121357,151468475,163352190,174204890,183875050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316579, s2 = 11422528, dlinesl.size( ) = 8 s1 = 11316627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316627, s2 = 11354188, int(edited[s2]) = 0 s1 = 11316627, s2 = 11354188, d1 = 23, d2 = 27 Dl.O(d1) = 259623130 Dl.O(d2) = 263107172,152720223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316627, s2 = 11354188, dlinesl.size( ) = 36 s1 = 11316757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11316997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317223, s2 = 11230692, int(edited[s2]) = 0 s1 = 11317223, s2 = 11230692, d1 = 2, d2 = 6 Dl.O(d1) = 118407503 Dl.O(d2) = 257209378,50614493,258302661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317223, s2 = 11230692, dlinesl.size( ) = 12 s1 = 11317319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317319, s2 = 6627794, int(edited[s2]) = 0 s1 = 11317319, s2 = 6627794, d1 = 53, d2 = 41 Dl.O(d1) = 118541294,118541295,132383808,145632132,158035185,169448941,179678317,188682149,182399274,262987915,273030419,273799348,148928419,135681952,121738263,121738264,135681954,262036883,272748465,148928429,161240443,172444966 Dl.O(d2) = 256691389,19424478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317319, s2 = 6627794, dlinesl.size( ) = 46 s1 = 11317355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317401, s2 = 11327476, int(edited[s2]) = 0 s1 = 11317401, s2 = 11327476, d1 = 5, d2 = 0 Dl.O(d1) = 261394445 Dl.O(d2) = 120195736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317401, s2 = 11327476, dlinesl.size( ) = 8 s1 = 11317437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10648336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317851, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11317921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317921, s2 = 12288177, int(edited[s2]) = 0 s1 = 11317921, s2 = 12288177, d1 = 0, d2 = 0 Dl.O(d1) = 90813049,104990705,269489022,123883663,109738051,109738050,109738049,123883660,137571163,150575778,150575777,150575779,142174557 Dl.O(d2) = 90813049,104990705,269489022,123883663,109738051,109738050,109738049,123883660,137571163,150575778,150575777,150575779,142174557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317921, s2 = 12288177, dlinesl.size( ) = 2 s1 = 11317921, s2 = 12288177, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11317921, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11318161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318161, s2 = 11279444, int(edited[s2]) = 0 s1 = 11318161, s2 = 11279444, d1 = 36, d2 = 46 Dl.O(d1) = 259634896 Dl.O(d2) = 268020812,12869488,18148926,18119721,18119722,18765540,18765813,13362864,9132443,9132444,13362867,18109248,24543650,18415245,18415246,24556666,18118912,12847832,12847833,12847934,254816252,8737422,8737421,254816250,24558810,22117408,16004378,16004377,17488960,12331064,12331063,17488956,18118592,12847644,8736725,5687832,5687835,8736740,11110963,16004491,22117594,24559408,24559406,32141452,32966298,39696149,39205189,38013279,38013009,30164613,22775163,22775165,30164620,24555587,18118125,12847351,8737447,8737446,12848874,18120579,18120578,24558890,32139314,24557521,24557522,24557022,24555732,24555731,29450979,22117267,22117266,16004445,14612001,14612000,20356029,23032068,16789144,11739258,11739254,254252120,30438805,30825790,39429907,41447269,51696944,51056638,51056639,51067320,40926661,40926660,39992237,39992236,49130176,40916374,32138918,24557219,24557221,32138920,24557352,24557353,32139097,35148069,31510443,31510441,40196367,44524677,256471388,256839726,52245356,256301106,25246786,18676131,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,37521857,28978009,24004626,24004622,255657076,38567823,29997307,29997306,38567822,48481233,49869024,39846890,31164948,23676663,23676664,31164951,39846895,256030978,40218212,40218213,39434043,33337253,30652748,23231284,16958469,11870579,11870580,16958472,22416069,16250927,11298128,7501039,7501036,11298112,16250902,16138509,11210849,7438533,7438529,11210825,12672050,17890176,24269314,255627905,13006773,8855229,8855230,13006775,18323332,24812510,21281372,21281373,28499084,25591028,255174980,31336076,260717513 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318211, s2 = 11364980, int(edited[s2]) = 0 s1 = 11318211, s2 = 11364980, d1 = 3, d2 = 7 Dl.O(d1) = 133162597 Dl.O(d2) = 180289152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318211, s2 = 11364980, dlinesl.size( ) = 14 s1 = 14535011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14559341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11318637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318637, s2 = 10521877, int(edited[s2]) = 0 s1 = 11318637, s2 = 10521877, d1 = 26, d2 = 15 Dl.O(d1) = 261421859 Dl.O(d2) = 186374321,194535714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318637, s2 = 10521877, dlinesl.size( ) = 44 s1 = 13633696, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11318737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318737, s2 = 11162776, int(edited[s2]) = 0 s1 = 11318737, s2 = 11162776, d1 = 17, d2 = 0 Dl.O(d1) = 119680449 Dl.O(d2) = 64149232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318737, s2 = 11162776, dlinesl.size( ) = 20 s1 = 11319051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319051, s2 = 6840664, int(edited[s2]) = 0 s1 = 11319051, s2 = 6840664, d1 = 32, d2 = 91 Dl.O(d1) = 119739997 Dl.O(d2) = 9531294,9531295,13890681,19415720,26107205,26109847,19417645,19417646,15013405,10342451,6808937,5961693,4270744,4270739,2553404,2553405,4270811,6809321,9530665,6252040,6252039,9530661,255295145,256171931,42994226,53469392,65490245,259088269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319051, s2 = 6840664, dlinesl.size( ) = 22 s1 = 11319173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12357138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11319349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319349, s2 = 7343287, int(edited[s2]) = 0 s1 = 11319349, s2 = 7343287, d1 = 0, d2 = 3 Dl.O(d1) = 119894920,133765973,147015869,159397735,170746062,180885584,170746061,170746060,180885581,189779256,264056789,203973233,209417557,213884893 Dl.O(d2) = 223219094,265640091,229146044,230660678,232010272,233225826,234326026,235327865,236240542,237072776,237832736,238523957,239157157,239739278,240277561,239945419,239381193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319349, s2 = 7343287, dlinesl.size( ) = 2 s1 = 11319349, s2 = 7343287, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11319349, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11319573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078887, s2 = 9341578, int(edited[s2]) = 0 s1 = 14078887, s2 = 9341578, d1 = 2, d2 = 11 Dl.O(d1) = 257792246 Dl.O(d2) = 23109912,16851460,16851459,23109910,28397361,23060609,23060607,30469750,32718807,25032294,25032293,32718804,41624800,48119726,59507250,51206006,41049396,41049395,51206005,51049786,51049783,62680211,75624956,75619275,62674574,51045433,50639974,40591954,31884568,24357736,24357738,31884573,40591964,50639990,62146464,57664494,51048192,51048193,51048110,51048109,62678033,51048189,40907217,40907211,51048168,62678117,67783576,55440437,55440434,67783591,62670922,62670925,62679857,75624670,89386080,75651839,75651838,89413598,89385927,75624451,62679651,51049314,51049313,62679649,62680686,51050172,40908611,40908610,51050170,62680680,75625436,89386637,89384799,75622914,62678152,62678153,75622916,89382720,88686550,88686548,270979072,259169901,63247365,63247364,75621329,62676710,51049447,40908067,40908068,51049449,62671259,62671260,62146723,50640183,50640187,62146712,62677136,74263030,87865196,87865213,87865218,74263067,74263068,87865222,101837777,95313354,89384500,89384499,99905388,99905387,109570009,99905447,99905448,89381592,75618823,62674147,62674146,62679063,51048857,40907659,32130428,24549986,18113756,12844146,8734381,8734378,12844127,18113719,24392717,17992584,12753055,8667871,8667869,12753062,17992605,24392761,31925979,40641992,46284755,40903892,32128062,32128063,40903900,50999765,40904069,32128159,24548577,18112948,18112951,18820311,13407907,13407905,18820302,25411762,25411856,25411857,31925774,37069339,28567155,28567151,24548771,18113057,18113058,24548779,18440433,18440430,24957521,32625089,41508418,40906626,40906630,50912224,51048060,51048141,51048139,40907205,40795060,40795055,40908687,38224581,38224582,48134643,40903321,40903320,40903503,51042777,62671160,55439786,44590249,44590246,55439780,55439655,44590165,44590166,55439657,55440051,44590421,35210197,27118431,20215641,14506274,9981915,9981918,14506280,20215653,27118455,31918141,32093312,24518614,24518615,32093318,35210455,27118576,27118573,35210448,44590850,52459938,42107255,33152868,33152869,42107260,40905525,32129041,32129042,37069306,28567145,28567141,37069288,41508479,32625132,24957541,18440433,18440430,24957521,32625089,41508418,40906626,40906630,50912224,51048060,51048141,51048139,40907205,40795060,40795055,40908687,38224581,38224582,48134646,40903459,32127802,32127804,257713079,67783621,81253002,75622844,62678073,62678074,258927129,62146864,50640284,40592127,40592128,50640286,62146866,73003810,73003809,86601248,89383399,75621252,75616017,62671654,51043136,40903742,32127950,32127951,256577449,24548442,18112869,18112868,18113984,24549250,24549249,24548542,24548544,32128091,40903941,254429566,24655854,32255666,41049398,51206008,62855448,75818865,89600805,257137094,101004632,115075835,126177797,126177725,126177726,126177731,126177730,261083453,112317062,98334066,98334067,97795839,97795838,101004673,87011008,73395363,73395365,87011013,101004680,102036948,101004662,101004661,100444731,86487562,86487561,100444726,104627325,115075843,101004641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078887, s2 = 9341578, dlinesl.size( ) = 2 s1 = 14078887, s2 = 9341578, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14078887, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 6816946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6816946, s2 = 10246022, int(edited[s2]) = 0 s1 = 6816946, s2 = 10246022, d1 = 8, d2 = 13 Dl.O(d1) = 258813883,100697349,260654817 Dl.O(d2) = 176962495,170881958,261983233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6816946, s2 = 10246022, dlinesl.size( ) = 18 s1 = 11319799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319799, s2 = 11083698, int(edited[s2]) = 0 s1 = 11319799, s2 = 11083698, d1 = 12, d2 = 3 Dl.O(d1) = 259961876 Dl.O(d2) = 98178634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319799, s2 = 11083698, dlinesl.size( ) = 14 s1 = 11319933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319933, s2 = 11656542, int(edited[s2]) = 0 s1 = 11319933, s2 = 11656542, d1 = 11, d2 = 10 Dl.O(d1) = 78041703,91968569,87069257,87069258,101064880,115139940,121170644,120108485,106166554,91968574,78041705,78041703,91968569,87069257,87069258,101064881,260677261,121170644,259706083 Dl.O(d2) = 259368708,89920414,76114480,63109071,51412630,41216341,32393341,32393340,41020767,32229346,32229347,32229355,29538776,29538775,29538777,28205755,28205754,33767214,34257090,34257091,37869271,29299743,29299744,37869272,33053240,33053241,41996734,33120363,33120362,35021118,26940236,20054350,14368708,9874766,9874763,9874764,14368701,20054342,268547377,18224151,254800756,26391582,34267928,43367333,53891242,65957962,79321750,93452905,107882068,122298178,136274883,259405804,116446182,102353187,88357102,74728904,61935417,50444758,40410860,31719190,24211965,17841865,12634522,8578478,8578477,12634520,17841862,22869940,30175696,38758694,30189241,24214948,17844497,12636498,12636497,17844495,21761025,15705618,10872464,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,8175530,12145692,17266019,254549226,22376794,22376793,29734379,24032241,24032242,22788357,16572482,11837093,7910957,5029172,5029171,6891505,4326200,4326199,6891483,10454703,15159731,21104538,23390283,23390281,30283859,22886066,22270699,16129204,11204436,11204437,16129205,16916216,16916217,23181224,22886655,22886656,19655957,14089074,14089075,14094554,11114185,7371391,4656732,4656731,7371387,11114176,15477991,10703401,7071389,7071390,10703404,15477997,19664332,17118912,12030040,12030041,14088435,9690292,6373868,6373869,9690295,14088437,19655108,26389451,255655374,32471929,41317758,51539063,63255658,76275012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319933, s2 = 11656542, dlinesl.size( ) = 20 s1 = 11319949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319949, s2 = 11034338, int(edited[s2]) = 0 s1 = 11319949, s2 = 11034338, d1 = 9, d2 = 13 Dl.O(d1) = 261446773 Dl.O(d2) = 258544174,20242995,14525593,14525594,255756057,27153738,35252613,30583911,23165988,16903267,11829168,254813999,5025113,5025114,254814001,16903281,17193330,12089819,12089818,17193323,20242711,14525398,14525399,16197128,11259250,11259251,11259216,11259218,16197071,22346826,26426617,28414713,35253979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319949, s2 = 11034338, dlinesl.size( ) = 14 s1 = 11319983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319983, s2 = 14122226, int(edited[s2]) = 0 s1 = 11319983, s2 = 14122226, d1 = 1, d2 = 23 Dl.O(d1) = 133959107 Dl.O(d2) = 189865012,180986904,180986903,176490203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319983, s2 = 14122226, dlinesl.size( ) = 18 s1 = 11320055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11320055, s2 = 14358419, int(edited[s2]) = 0 s1 = 11320055, s2 = 14358419, d1 = 4, d2 = 14 Dl.O(d1) = 259670369 Dl.O(d2) = 262664856,180999591,180999594,175328637,164564310,152726491,140031989,126678987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11320055, s2 = 14358419, dlinesl.size( ) = 2 s1 = 11320055, s2 = 14358419, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11320055, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 11320247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11320329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11320385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11320447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11320447, s2 = 11046252, int(edited[s2]) = 0 s1 = 11320447, s2 = 11046252, d1 = 5, d2 = 21 Dl.O(d1) = 134091869 Dl.O(d2) = 256110356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11320447, s2 = 11046252, dlinesl.size( ) = 22 s1 = 13990759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11320763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11320763, s2 = 11199660, int(edited[s2]) = 0 s1 = 11320763, s2 = 11199660, d1 = 8, d2 = 10 Dl.O(d1) = 269102646 Dl.O(d2) = 269102648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11320763, s2 = 11199660, dlinesl.size( ) = 8 s1 = 15956509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11321205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321205, s2 = 11473420, int(edited[s2]) = 0 s1 = 11321205, s2 = 11473420, d1 = 9, d2 = 11 Dl.O(d1) = 263741409 Dl.O(d2) = 264007343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321205, s2 = 11473420, dlinesl.size( ) = 14 s1 = 11321209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321209, s2 = 11141046, int(edited[s2]) = 0 s1 = 11321209, s2 = 11141046, d1 = 19, d2 = 20 Dl.O(d1) = 260873799 Dl.O(d2) = 255263305,9201338,6024217,3768767,3768766,6024216,9201335,13455015,17503836,12342381,8338379,5381905,5381907,8338383,12342388,17503849,23845051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321209, s2 = 11141046, dlinesl.size( ) = 20 s1 = 11321459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321459, s2 = 11044894, int(edited[s2]) = 0 s1 = 11321459, s2 = 11044894, d1 = 6, d2 = 5 Dl.O(d1) = 259038238,6179077,3866561,2317707,1343929,1343933,1344217,1344216 Dl.O(d2) = 2318579,2341504,2341482,2341484,3910808,254948251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321459, s2 = 11044894, dlinesl.size( ) = 8 s1 = 11044893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044893, s2 = 11321460, int(edited[s2]) = 0 s1 = 11044893, s2 = 11321460, d1 = 7, d2 = 2 Dl.O(d1) = 254948250,4507713,2708712,2708561,2708558,2263122 Dl.O(d2) = 1569385,1569387,2263081,3772656,2260419,2260417,3772649,259038239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044893, s2 = 11321460, dlinesl.size( ) = 8 s1 = 11321545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321545, s2 = 11009028, int(edited[s2]) = 0 s1 = 11321545, s2 = 11009028, d1 = 1, d2 = 10 Dl.O(d1) = 134950742 Dl.O(d2) = 176394936,165731243,153956854,141284752,258889374,100014503,86051248,72452678,268442396,29857491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321545, s2 = 11009028, dlinesl.size( ) = 12 s1 = 6908795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3816593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3816593, s2 = 11011362, int(edited[s2]) = 0 s1 = 3816593, s2 = 11011362, d1 = 23, d2 = 10 Dl.O(d1) = 135149726,148322245,148322246,160594490,261485976,261485974,262969934,148322224,135149728,135149729,148322254,160594502,262018699,148322247,160594492,154617835 Dl.O(d2) = 255644766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3816593, s2 = 11011362, dlinesl.size( ) = 20 s1 = 11321901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321901, s2 = 11603016, int(edited[s2]) = 0 s1 = 11321901, s2 = 11603016, d1 = 15, d2 = 11 Dl.O(d1) = 273259241,274304100 Dl.O(d2) = 266636145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321901, s2 = 11603016, dlinesl.size( ) = 20 s1 = 11322313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322313, s2 = 11019776, int(edited[s2]) = 0 s1 = 11322313, s2 = 11019776, d1 = 13, d2 = 7 Dl.O(d1) = 121803809 Dl.O(d2) = 78902201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322313, s2 = 11019776, dlinesl.size( ) = 14 s1 = 13637672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13664757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13664757, s2 = 11126272, int(edited[s2]) = 0 s1 = 13664757, s2 = 11126272, d1 = 8, d2 = 10 Dl.O(d1) = 135913911,121989197,121989196,135913909,129976415,116069932,102014734,88031697,88031696,102014736,116069934,129976414,116069932,272264911,121989197,107616729,93214508,79098401 Dl.O(d2) = 256685642,3944599,2361547,2361549,1368020,779085,771921,438462,438465,763800,1337148,254305167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13664757, s2 = 11126272, dlinesl.size( ) = 12 s1 = 11322603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322603, s2 = 16334716, int(edited[s2]) = 0 s1 = 11322603, s2 = 16334716, d1 = 23, d2 = 25 Dl.O(d1) = 264906465 Dl.O(d2) = 188956905,262671978,261672704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322603, s2 = 16334716, dlinesl.size( ) = 26 s1 = 11322631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322631, s2 = 11464418, int(edited[s2]) = 0 s1 = 11322631, s2 = 11464418, d1 = 13, d2 = 14 Dl.O(d1) = 261513603 Dl.O(d2) = 264448784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322631, s2 = 11464418, dlinesl.size( ) = 20 s1 = 8507288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11322887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11322927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322927, s2 = 11045360, int(edited[s2]) = 0 s1 = 11322927, s2 = 11045360, d1 = 20, d2 = 22 Dl.O(d1) = 259740827,258480033 Dl.O(d2) = 268164085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322927, s2 = 11045360, dlinesl.size( ) = 24 s1 = 11323063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323063, s2 = 10919052, int(edited[s2]) = 0 s1 = 11323063, s2 = 10919052, d1 = 39, d2 = 47 Dl.O(d1) = 122327387,258969532,26412329,258481563,270112875,34683176,43940793,43940792,42146168,255731368,20153867,14457741,12823462,8718461,5675006,5675010 Dl.O(d2) = 158242679,273989250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10919051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10919051, s2 = 11323064, int(edited[s2]) = 0 s1 = 10919051, s2 = 11323064, d1 = 55, d2 = 45 Dl.O(d1) = 219165121,215826738,273989251 Dl.O(d2) = 13837852,9713702,9713704,6431520,6431519,9782252,255731369,33456669,33456670,42449856,44797358,270112874,258481562,18268260,258969533,103901938 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323183, s2 = 11102480, int(edited[s2]) = 0 s1 = 11323183, s2 = 11102480, d1 = 5, d2 = 15 Dl.O(d1) = 122512662 Dl.O(d2) = 93737608,93737610,257243932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323183, s2 = 11102480, dlinesl.size( ) = 18 s1 = 15205671, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11323201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15124466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15124466, s2 = 4135067, int(edited[s2]) = 0 s1 = 15124466, s2 = 4135067, d1 = 18, d2 = 13 Dl.O(d1) = 106434,194805,355421,640252,355440,194813,106436,58578,58577 Dl.O(d2) = 178136397,178136396,167678591,167678590,167678595,262362719,156074813,167678582,167678594,156074822,143541066,130214958,116379950,116379951,130214960,143541069,156074825,262832993,166187121,166187122,156074810,156074811,167678578,178136395,178136408,187367861,195402780,187367843,263642169,178136390,167678574,167678575,167678588,167678589,178136397,167678579,167678580,178136398,187367853,195402786,187367860,187367861,195402787,263258791,178136403,178136405,187367851,178136392,178136393,178136407,187367859,195402788,194391383,186201025,186201026,178136410,167678595,156074824,143541067,143541068,143541056,143541057,143541062,156074815,143541061,143541060,156074813,167678582,167678594,156074822,156074823,156074814,143541061,143541060,156074813,167678581,178136399,262362721,156074825,262832993,166187121,166187122,156074810,143541058,143541059,156074812,167678580,263258789,167678573,156074808,143541056,143541057,143541062,156074815,143541061,130214955,116379949,116379948,130214954,143541059,154451915,154451916,262758439,154451912,141805753,141805754,141805755,128453576,114570268,100540019,86579255,72982224,60246778,60246777,57998829,46622791,36734609,28239692,21041005,15113338,15113340,21041010,28239702,36734626,46622810,57998844,70715095,70541000,57839140,46483023,36616612,36616613,46483025,40508111,31812290,24296993,24296994,31812291,30139141,22753353,22753354,26206545,26206544,26206737,34062309,43139024,39987782,256183222,23822348,31311126,39987783,50005701,61484056,74261492,87863926,101836765,270905474,129780168,129780169,143110076,129780165,129780164,143110075,155661334,167292821,177786964,187060427,195137073,202044480,207852633,264289256,200197363,193008465,184629364,175035241,164229458,152356753,139636062,126265344,112402380,98413233,84491562,70927310,58210080,46842016,36963072,36963071,28463541,23915388,17572852,12400988,12400985,255569417,28476625,256021046,256021390,70938151,84502308,98423965,112412740,126275803,139646273,260126662,164239829,175045703,184638802,262816962,206276434,211295332,215396259,264567108,224102924,226234132,228089270,229717032,231161353,265897878,227121955,225103040,222779991,220079086,216881898,213025196,208307811,202588816 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323621, s2 = 10398384, int(edited[s2]) = 0 s1 = 11323621, s2 = 10398384, d1 = 7, d2 = 0 Dl.O(d1) = 122967738 Dl.O(d2) = 80361232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323621, s2 = 10398384, dlinesl.size( ) = 14 s1 = 11323745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323745, s2 = 11498366, int(edited[s2]) = 0 s1 = 11323745, s2 = 11498366, d1 = 0, d2 = 15 Dl.O(d1) = 123013435 Dl.O(d2) = 183126037,265133535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323745, s2 = 11498366, dlinesl.size( ) = 18 s1 = 4609256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4609256, s2 = 3900289, int(edited[s2]) = 0 s1 = 4609256, s2 = 3900289, d1 = 7, d2 = 8 Dl.O(d1) = 185368086 Dl.O(d2) = 153333068,140653592,127307496,113448604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4609256, s2 = 3900289, dlinesl.size( ) = 12 s1 = 11323799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323799, s2 = 11040568, int(edited[s2]) = 0 s1 = 11323799, s2 = 11040568, d1 = 2, d2 = 1 Dl.O(d1) = 272832512,272602199 Dl.O(d2) = 129766537,260517646,17476534,12321682,12321683,13817027,9475647,9475646,12896095,8771697,5712504,5712503,7210560,4543109,2731027,1582475,899650,507473,507475,899660,1582498,2731065,4543178,2731396,1582665,899751,899754,1582680,2731430,4543822,7211768,10904369,15744678,21805637,29103838,33734938,39512719,30904588,23469997,17189294,12086714,8127994,5207310,5207311,8127996,12086719,17189302,23470004,30904603,33406425,37192009,257445175,23184332,16918752,16918753,19471141,13935673,9565991,9565990,9352630,9352632,13657986,19128597,25768390,19471045,13935609,13935608,19471041,13935649,10498287,6924803,4350268,4350267,4350288,4350291,6924843,10501840,7860369,4988806,4988807,7860376,11773504,15226829,10503293,6925727,6925730,10503305,13658002,13658006,15040416,15040415,15226992,20949082,21188177,15225623,15225625,18500806,17006670,11920134,7974556,5074684,3077315,3077316,5074688,7974569,11920155,255526729,6311359,3955649,2368817,1371261,780546,442562,442560,780535,1371234,1651920,1651923,2847161,4501280,3372497,1984581,1984584,1133697,1133695,1984640,3372693,5480921,8479194,11313908,7512252,7512251,7512335,7512334,10639214,10639212,9367880,7512462,7512463,11314279,13679972,19157763,21416745,255372750,10664801,255402665,13987471,9608843,9608844,255301411,25361177,28292062,21085291,21085290,22439034,16271447,16271446,22439032,24791627,18308514,12996272,12996273,18308516,24791631,32152155,24568671,18128189,18128191,24483243,18060752,12804602,8706415,5667979,5667978,8706413,12804599,18060743,24483230,20915558,15010031,268029704,6806962,10339888,15010041,20915570,28089172,36558555,33780364,25970110,19303469,19303468,25970108,33780360,42812919,42813383,51612679,42452362,33724488,33724487,30493039,30493040,37860095,29291067,21964156,255318942,10999503,15870234,18739051,18128525,12854629,8741377,8199792,5270286,5270287,8199794,12168089,8919713,8919712,12813860,10999249,7281106,4591833,2762617,1601492,1601491,1601347,1601343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323799, s2 = 11040568, dlinesl.size( ) = 2 s1 = 11323799, s2 = 11040568, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11323799, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11323891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323891, s2 = 14017886, int(edited[s2]) = 0 s1 = 11323891, s2 = 14017886, d1 = 10, d2 = 10 Dl.O(d1) = 43472377,43472381,54031576,43825232,34556125,34556124,256256798,256733407,55031347,67362688,270652673,123371961,262075747,262105042,182992740,271203636,257942608,257340662,101357154,93688819,79568027,79568026,258602632,101373043,87388803,73769591,61000781,49564259,49564260,60217051,67378418,67378419,259147991,258994579,104793233,108407880,94072346,80770772,67300734,54973974,44155070,34816721,34816725,37176132,28657590,21413661,21413664,28657670,26883181,26883184,34879075,26822167,19957008,19957004,19936299,14279669,9813205,6448729,4043417,4043416,6448758,9813702,14282565,19943188,26801140,34851759,44201507,55029780,257356704,94895471,109161476,259836444,117473011,131276488,272456512,259777240,57324269,257345034,55133857,44291226,258520013,94902462,80836343,67366711,270129791,55034814,55034815,67366713,80836345,94902465,260389337,259780921,81039536,81039534,81039535,259780919,95097972,109352745,122931521,122931522,122931516,122931515,108667287,108667288,272448865,162114732,149903085,149903084,162114730,173214388,183064872,191673520,264118113,264411874,199076362,205338608,205338606,205338605,210522985,214759346,214759347,211369992,206361069,200303852,193132064,184775183,175204764,164420709,152562144,139848800,126477716,112609314,98614319,84689735,71125445,58407616,47035205,37146246,28632283,21393304,255240014,10650337,15408272,21393306,18615840,18615841,13232521,9023130,5892509,3680018,2203099,2203100,2160427,2160425,2160319 Dl.O(d2) = 43472377,43472381,54031576,43825232,34556125,34556124,256256798,256733407,55031347,67362688,270652673,123371961,262075747,262105042,182992740,271203636,257942608,257340662,101357154,93688819,79568027,79568026,258602632,101373043,87388803,73769591,61000781,49564259,49564260,60217051,67378418,67378419,259147991,258994579,104793233,108407880,94072346,80770772,67300734,54973974,44155070,34816721,34816725,37176132,28657590,21413661,21413664,28657670,26883181,26883184,34879075,26822167,19957008,19957004,19936299,14279669,9813205,6448729,4043417,4043416,6448758,9813702,14282565,19943188,26801140,34851759,44201507,55029780,257356704,94895471,109161476,259836444,117473011,131276488,272456512,259777240,57324269,257345034,55133857,44291226,258520013,94902462,80836343,67366711,270129791,55034814,55034815,67366713,80836345,94902465,260389337,259780921,81039536,81039534,81039535,259780919,95097972,109352745,122931521,122931522,122931516,122931515,108667287,108667288,272448865,162114732,149903085,149903084,162114730,173214388,183064872,191673520,264118113,264411874,199076362,205338608,205338606,205338605,210522985,214759346,214759347,211369992,206361069,200303852,193132064,184775183,175204764,164420709,152562144,139848800,126477716,112609314,98614319,84689735,71125445,58407616,47035205,37146246,28632283,21393304,255240014,10650337,15408272,21393306,18615840,18615841,13232521,9023130,5892509,3680018,2203099,2203100,2160427,2160425,2160319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323891, s2 = 14017886, dlinesl.size( ) = 2 s1 = 11323891, s2 = 14017886, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11323891, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 11323955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323955, s2 = 10503068, int(edited[s2]) = 0 s1 = 11323955, s2 = 10503068, d1 = 18, d2 = 22 Dl.O(d1) = 260542964 Dl.O(d2) = 266105984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323955, s2 = 10503068, dlinesl.size( ) = 2 s1 = 11323955, s2 = 10503068, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11323955, Dl.E( ) = 38, 1.79e-05 seconds used appending s1 = 13639360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16203327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11324171, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14677142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14677142, s2 = 14065817, int(edited[s2]) = 0 s1 = 14677142, s2 = 14065817, d1 = 52, d2 = 51 Dl.O(d1) = 150366159,137325507,123594303,109402689,95148845,95148844,107423097,107423098,121805732,135745245,148983990,260254486,123594304,109402690,95148845,81091431,77790549,77790548 Dl.O(d2) = 47304216,47304217,58694687,71427561,85000704,95079940,95630267,81597012,68107854,68107855,64347263,52477079,42122002,42122003,52477081,64347264,77512849,91442738,91442732,256110204,64347261,77512844,257179368,81021015,258383232,109334602,109834061,123973534,137654977,133771475,119902334,119902333,133771472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14677142, s2 = 14065817, dlinesl.size( ) = 2 s1 = 14677142, s2 = 14065817, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14677142, Dl.E( ) = 56, 2.19e-05 seconds used appending s1 = 11324431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324431, s2 = 13990675, int(edited[s2]) = 0 s1 = 11324431, s2 = 13990675, d1 = 14, d2 = 19 Dl.O(d1) = 272461835,138996491,138996499,151700348,163579545,273317801,174420366,272818319,138996479,138996480,151700337,138996493,125658133,125658132 Dl.O(d2) = 138996488,125658128,111842676,111842677,261059981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11324751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324751, s2 = 11277642, int(edited[s2]) = 0 s1 = 11324751, s2 = 11277642, d1 = 13, d2 = 21 Dl.O(d1) = 263033733 Dl.O(d2) = 185725740,273126245,260591370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324751, s2 = 11277642, dlinesl.size( ) = 26 s1 = 11324785, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11324845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324845, s2 = 11247410, int(edited[s2]) = 0 s1 = 11324845, s2 = 11247410, d1 = 7, d2 = 12 Dl.O(d1) = 137458509 Dl.O(d2) = 173642917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324845, s2 = 11247410, dlinesl.size( ) = 16 s1 = 11325049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325049, s2 = 14126726, int(edited[s2]) = 0 s1 = 11325049, s2 = 14126726, d1 = 21, d2 = 26 Dl.O(d1) = 260165488 Dl.O(d2) = 205604284,205604283,210753844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325049, s2 = 14126726, dlinesl.size( ) = 24 s1 = 11325167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325167, s2 = 11249852, int(edited[s2]) = 0 s1 = 11325167, s2 = 11249852, d1 = 16, d2 = 19 Dl.O(d1) = 259377798 Dl.O(d2) = 256940254,48506461,59900074,72374980,72168488,59429870,59429867,48037754,48037753,58929073,47546734,47546735,58929075,71651084,60106581,60106582,72843106,86437602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325167, s2 = 11249852, dlinesl.size( ) = 20 s1 = 11325187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325187, s2 = 10890501, int(edited[s2]) = 0 s1 = 11325187, s2 = 10890501, d1 = 8, d2 = 7 Dl.O(d1) = 259927982 Dl.O(d2) = 196209636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325187, s2 = 10890501, dlinesl.size( ) = 8 s1 = 10408309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11325241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11325437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325437, s2 = 11500990, int(edited[s2]) = 0 s1 = 11325437, s2 = 11500990, d1 = 80, d2 = 62 Dl.O(d1) = 261572575 Dl.O(d2) = 210696580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325437, s2 = 11500990, dlinesl.size( ) = 34 s1 = 11325461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325461, s2 = 11180850, int(edited[s2]) = 0 s1 = 11325461, s2 = 11180850, d1 = 2, d2 = 11 Dl.O(d1) = 260403414 Dl.O(d2) = 115902880,101856929,258751934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325461, s2 = 11180850, dlinesl.size( ) = 8 s1 = 11325475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325475, s2 = 11041998, int(edited[s2]) = 0 s1 = 11325475, s2 = 11041998, d1 = 6, d2 = 8 Dl.O(d1) = 123996619 Dl.O(d2) = 81622402,68132658,256518566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325475, s2 = 11041998, dlinesl.size( ) = 12 s1 = 4106233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11325591, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11325603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325603, s2 = 11268070, int(edited[s2]) = 0 s1 = 11325603, s2 = 11268070, d1 = 11, d2 = 8 Dl.O(d1) = 138070304,150942875,162949835,173893164 Dl.O(d2) = 262089546,101781149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325603, s2 = 11268070, dlinesl.size( ) = 12 s1 = 11325825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325825, s2 = 11441192, int(edited[s2]) = 0 s1 = 11325825, s2 = 11441192, d1 = 1, d2 = 18 Dl.O(d1) = 125431771 Dl.O(d2) = 205818620,263977290,207922189,264566763,265043273,222577358,224924249,226963130,228740971,265897747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325825, s2 = 11441192, dlinesl.size( ) = 20 s1 = 11325959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325959, s2 = 11648674, int(edited[s2]) = 0 s1 = 11325959, s2 = 11648674, d1 = 13, d2 = 8 Dl.O(d1) = 271386126,10273297,6751373,4230496,4230495,6751371,10273287,256270353,257385757,269470254,40868338,32096552,24521353,24521350,24521367,20843822,14943961,14943962,20843796,28008593,36467531,38104453,48014729,59401931,50018202,255631360,33541374,25752822,25752821,255465586,24520802,24521046,18089561,12824591,12824593,18089565,24521051,32096169,255913142,30350329,22948668,16711895,11670400,11670399,16711892,22948663,29210051,21896157,21896158,21896166,15817843,15817844,21896168,29210066,37771914,37772218,29210356,21896385,16630292,11600335,7722158,7722161,11600339,11599695,7721700,254798467,16629394,22854874,30249488,256987581,60147490,72883886,263186299 Dl.O(d2) = 260135234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325959, s2 = 11648674, dlinesl.size( ) = 8 s1 = 11326309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326309, s2 = 11155498, int(edited[s2]) = 0 s1 = 11326309, s2 = 11155498, d1 = 11, d2 = 12 Dl.O(d1) = 125541467 Dl.O(d2) = 257515052,255896476,28568590,28568589,37071154,46383428,42260795,256161078,26435348,19696776,14122709,14122710,255720817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326309, s2 = 11155498, dlinesl.size( ) = 14 s1 = 11326323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10758209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11326595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326595, s2 = 8805639, int(edited[s2]) = 0 s1 = 11326595, s2 = 8805639, d1 = 75, d2 = 71 Dl.O(d1) = 262133941,174414115,184068450,192524313,199801737,205954047,274081663,218622241,221504136,223250736,265096743,217590592,220649052,223250735,223974090,221504134,218622239,218622240,220649043,223250724,265162840,218622244,215197951,215197952,215197959,211040955,211040953,215197955,218622247,220649040,223250722,220649045,264876483,213925955,217590586,220649043,223250724,265162840,218622244,215197951,215197952,215197959,211040955,211040953,215197955,218622247,265162842,189845656,180965494,170844194,170844193,180965493,273790525,265096745 Dl.O(d2) = 263880133,193592500,200703775,200703778,206703293,274094637,219062836,219062837,221893310,221893307,219062836,264838872,274094639,219062835,221893308,219062832,264838870,200703784,193592512,185295292,175784130,262397212,261355654,261140237,153235093,165053123,175784128,263880139,193592504,185295283,175784125,175784126,185295285,193592505,193592498,185295277,262862984,140553861,260785932,259573374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326595, s2 = 8805639, dlinesl.size( ) = 2 s1 = 11326595, s2 = 8805639, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11326595, Dl.E( ) = 76, 2.6e-05 seconds used appending s1 = 11326645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326645, s2 = 11375236, int(edited[s2]) = 0 s1 = 11326645, s2 = 11375236, d1 = 41, d2 = 33 Dl.O(d1) = 259880241,86267174,86267173,100232544,86267176,72666897,59926751,59926752,258634673,70513004,270276085 Dl.O(d2) = 257399345,270276087,259880243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326645, s2 = 11375236, dlinesl.size( ) = 26 s1 = 7102985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7102985, s2 = 3617834, int(edited[s2]) = 0 s1 = 7102985, s2 = 3617834, d1 = 9, d2 = 4 Dl.O(d1) = 262621798,272818618,150684019,262101907,150684018 Dl.O(d2) = 137688603,124007406,109868359,95664456,258635210,68140907,256820824,35409850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7102985, s2 = 3617834, dlinesl.size( ) = 2 s1 = 7102985, s2 = 3617834, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 7102985, Dl.E( ) = 10, 3.81e-06 seconds used appending s1 = 13642508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13642508, s2 = 16010031, int(edited[s2]) = 0 s1 = 13642508, s2 = 16010031, d1 = 17, d2 = 5 Dl.O(d1) = 39889862,31211923,31211922,39889859,49910175,61390377,65369477,53365632,53365630,65369475,53365656,257837165,78674218,78666633,78666632,92728149,107065817,121361183,135211096,148379863,160644865,166021733,166021732,155691890,143138181,129806158,115906200,115906201,129806160,129691124,129691125,143019649,139058029,125719274,125719275,139058031,151759871,261488168,143019651,143019650,260708061,115793635,115793634,101748085,87775265,87775266,87887339,87887338,87887341,74285123 Dl.O(d2) = 53685197,65741292,79097301,269110606,107615614,257836912,72764837,60028147,60028148,60028179,48635392,38717595,36634239,36634240,46501280,48635391,38717594,30138032,22752211,16541179,11528225,7668820,7668821,5922172,3703125,3703126,5922175,6786868,4254697,4254700,4887175,4887178,4230904,4230907,4248367,4251196,5378709,4264787,4264785,2558588,2546209,1466881,1466882,2546212,4259117,6793037,4259245,4259243,6793226,10324141,10331584,6799744,4264125,4264123,4238163,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227144,3708566,2220925,2220922,1478244,1288290,735514,735515,1288256,1289487,736115,418483,236227,130353,130354,236231,418493,736136,1289533,2223039,3712317,3720911,2228007,1292167,737515,737516,1292172,2228022,3720944,4488391,2696470,2696471,4488393,6831133,10350614,6815403,5934325,5934323,9074439,13272892,12661004,12661006,10294322,6767647,6767646,6818419,9086289,5943487,5943486,4258319,3719669,3719671,5947950,6802879,6802877,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586295,8597298,6786422,6786423,10316325,10302868,255000301,15033115,14969271,10301427,10301426,268197093,20932576,20841668,14942130,10276850,6753761,6753764,10276853,268062281,10356929,10356928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13642508, s2 = 16010031, dlinesl.size( ) = 2 s1 = 13642508, s2 = 16010031, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13642508, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 16010032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11327035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11327381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11327475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11327475, s2 = 11317402, int(edited[s2]) = 0 s1 = 11327475, s2 = 11317402, d1 = 4, d2 = 14 Dl.O(d1) = 139464460 Dl.O(d2) = 261394444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11327475, s2 = 11317402, dlinesl.size( ) = 8 s1 = 9531118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11327663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11327663, s2 = 11338244, int(edited[s2]) = 0 s1 = 11327663, s2 = 11338244, d1 = 29, d2 = 42 Dl.O(d1) = 259026032 Dl.O(d2) = 262799414,169991219,158628631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11327663, s2 = 11338244, dlinesl.size( ) = 30 s1 = 14646714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11327867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11327867, s2 = 11165700, int(edited[s2]) = 0 s1 = 11327867, s2 = 11165700, d1 = 10, d2 = 19 Dl.O(d1) = 262640715 Dl.O(d2) = 261821756,261821758,112329600,101763354,87790493,74186291,270554054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11327867, s2 = 11165700, dlinesl.size( ) = 22 s1 = 8410209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8410209, s2 = 15549608, int(edited[s2]) = 0 s1 = 8410209, s2 = 15549608, d1 = 2, d2 = 0 Dl.O(d1) = 100769203,86788036,86788035,100769202,260657691,114821560,100769215,86788042,86788043,100769210,258816793,73175258 Dl.O(d2) = 86788039,100769207,100769209,258816793,60428347,49024737,39095851,30499998,30499997,257005103,60428346,73175257,86788037,260057837,114821559,128721776,142081171,154720145,166430601,177015396,173659767,162637310,150516754,137485233,123760063,109568848,95312080,81251191,67781812,55438841,256755077,268830601,27117747,20215050,20215049,17147359,17147358,17147360,23424749,256487193,49388636,259468003,115230118,129160815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8410209, s2 = 15549608, dlinesl.size( ) = 2 s1 = 8410209, s2 = 15549608, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8410209, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14202471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328205, s2 = 11456070, int(edited[s2]) = 0 s1 = 11328205, s2 = 11456070, d1 = 20, d2 = 15 Dl.O(d1) = 272526315,184643733 Dl.O(d2) = 209678657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328205, s2 = 11456070, dlinesl.size( ) = 24 s1 = 14202478, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11328473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328473, s2 = 14133090, int(edited[s2]) = 0 s1 = 11328473, s2 = 14133090, d1 = 0, d2 = 54 Dl.O(d1) = 139728831,262165481 Dl.O(d2) = 264502492,206312588,273990910,200249148,193070740,184705670,184705671,193070742,193070747,263852049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328473, s2 = 14133090, dlinesl.size( ) = 44 s1 = 11328563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328563, s2 = 11318058, int(edited[s2]) = 0 s1 = 11328563, s2 = 11318058, d1 = 6, d2 = 26 Dl.O(d1) = 139761463 Dl.O(d2) = 260845778,164350389,164350388,175143580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328563, s2 = 11318058, dlinesl.size( ) = 28 s1 = 16216143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16216143, s2 = 9537735, int(edited[s2]) = 0 s1 = 16216143, s2 = 9537735, d1 = 6, d2 = 99 Dl.O(d1) = 50295098 Dl.O(d2) = 58885740,47506746,37602936,29054760,29054761,34262046,34262045,34269233,29709711,29709712,29247612,29247613,29435597,37998294,29435584,22103102,15992802,11102209,7362604,7362605,11102216,15992816,16411546,11427301,11427303,9695062,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086788,10726131,15509310,16052075,15466595,15466596,21468126,28724815,21468121,21104735,255005660,18967091,18967089,14087527,9689786,6373612,3999347,2396852,2396853,3999351,6373629,4861359,4861360,7683172,11548581,12028248,8086492,5181141,5181140,8086489,8086472,8086473,5182868,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773289,3044683,5029517,7911618,11838237,16915462,23180421,30599137,39195834,49123447,60524603,73269618,86881373,100861673,114912168,128809304,136722089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16216143, s2 = 9537735, dlinesl.size( ) = 2 s1 = 16216143, s2 = 9537735, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16216143, Dl.E( ) = 136, 4.1e-05 seconds used appending s1 = 11328877, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11328961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328961, s2 = 11381754, int(edited[s2]) = 0 s1 = 11328961, s2 = 11381754, d1 = 27, d2 = 34 Dl.O(d1) = 126480719 Dl.O(d2) = 165258586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328961, s2 = 11381754, dlinesl.size( ) = 26 s1 = 15516228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11329269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11329451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329451, s2 = 14164210, int(edited[s2]) = 0 s1 = 11329451, s2 = 14164210, d1 = 13, d2 = 10 Dl.O(d1) = 126642482,112784385,270812779,71289240,71289239,84863600,258026918,58029935,58029936,70743992,84295629,98191746,89325880,75567814,258947813,81427083,69352913,69352914,82875339,96821527,110872776,112522070,257802682,46955869,256139128,71038542,84602593,91729753,259045384,112522070,112522069,126392473,133990348,120149026,261984947,262392766,271523613 Dl.O(d2) = 58299721,52049770,41735213,256060972,63868913,63868986,63868985,255333200,77548995,64380904,52507381,254692132,254317130,47730507,47730506,59129167,71867582,85452608,99393455,113394283,255333198,105495878,256749932,64206051,64206050,52355759,42016570,33072551,33072550,33072552,25342618,18762262,254916963,9130781,9131041,13360308,9130784,5975256,5975257,9130785,13360310,18762274,25342635,33072565,42016584,52355773,64206069,259647671,118005659,103861227,89757716,75979006,62996298,62996297,62996300,62996299,51317237,41133602,32319849,32319850,39449184,39449185,49377491,60778780,73526854,87145781,101143933,101143934,115221059,259659990,271991084,177410192,186725295,194838137,194838138,194838139,201780940,207625391,212443972,264359810,222412026,224780767,226836734,265476602,230205743,265930192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329451, s2 = 14164210, dlinesl.size( ) = 22 s1 = 11329505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329505, s2 = 11038110, int(edited[s2]) = 0 s1 = 11329505, s2 = 11038110, d1 = 10, d2 = 13 Dl.O(d1) = 126653902 Dl.O(d2) = 255923994 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329505, s2 = 11038110, dlinesl.size( ) = 14 s1 = 11329541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329541, s2 = 13336410, int(edited[s2]) = 0 s1 = 11329541, s2 = 13336410, d1 = 7, d2 = 17 Dl.O(d1) = 271542422,24036057,17684582,269340670,1983075,3370033,5476528,8472425,12506894,17684613,24036107,30817107,27141535,27141536,35237356,257553310 Dl.O(d2) = 255496672,36919669,28421624,28421623,29769641,22406333,16243524,16243530,17087292,23355150,30779397,254468892,23304137,30721666,24905388,18401464,18401465,22900350,16669811,16669810,254974276,38144011,37692083,29130142,254469816,40026078,31346259,31346258,33215951,37163212,29074990,21777022,15717794,15717795,21777026,28941417,28941418,30057041,22680386,20040829,14356123,9864121,6479564,6479566,9864129,14356135,20040844,26926255,35008013,29425807,29425808,254972998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329541, s2 = 13336410, dlinesl.size( ) = 8 s1 = 11329597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329597, s2 = 11479346, int(edited[s2]) = 0 s1 = 11329597, s2 = 11479346, d1 = 10, d2 = 44 Dl.O(d1) = 126674822 Dl.O(d2) = 273531449,264185061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329597, s2 = 11479346, dlinesl.size( ) = 36 s1 = 11329657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11157127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157127, s2 = 6023412, int(edited[s2]) = 0 s1 = 11157127, s2 = 6023412, d1 = 61, d2 = 28 Dl.O(d1) = 61727873,70436068,57741620,46391408,46391409,57741622,49251582,49251583,49440485,47282576,37373123,37373122,47282573,58673826,71408048,59880375,48488813,256948192,47263803,47263804,58655600,57885694,47869857,37951793,37951792,257785289,37951855,32599257,24937052,18424849,13087373,13087372,18424855,24937069,28937927,37479974,257465841,71504146,257063932,49418452,39488810,30882784,23451363,23451364,30882786,39371038,31252505,23768312,17440340,12293782,12293778,17440334,23347602,23347600,23347961,26415921,19679708,14108297,14108299,255719309,268426336,33608295,25810108,25810107,29821417,22454028,16901599,255520193,13191240,13190701,8992204,5870858,5870859,8992205,13190704,9479574,9479573,13822261,19329397,25112579,19328641,19328642,255016829,6896098,4328768,4328767,255016827,12311265,255171797,15312097,10575272,10575273,15312099,12085010,12085009,12311245,12311244,17186921,17186920,23466739,30900450,30900449,256964522,15251602,15251604,19062029,25685702,19167058,19167057,25816594,25255441,25255442,32978291,37331143,256315416 Dl.O(d2) = 239945295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157127, s2 = 6023412, dlinesl.size( ) = 47 s1 = 15125094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7827203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7827203, s2 = 8402163, int(edited[s2]) = 0 s1 = 7827203, s2 = 8402163, d1 = 166, d2 = 199 Dl.O(d1) = 656196,1169193,2040210,254418345,7325002,7324885,4625807,3194828,2785989,1617439,920041,518809,290948,160998,160996,290939,334106,599642,1066800,1870129,1069745,1069743,1609835,1894129,3229920,4612206,7308179 Dl.O(d2) = 72029479,59293137,47897787,47897786,59293135,258736569,99568688,99568689,113585293,258738106,85618102,99568692,85618096,72029479,72029480,72029484,72029483,85618098,72029481,59293138,47897787,37980552,37980553,47897789,59293142,72029486,72029487,85618099,85618100,99568691,113585293,260580455,140821771,127758997,127758996,127759000,113883337,99864333,85908841,72315435,59580813,48194411,38285154,38285153,29718541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7827203, s2 = 8402163, dlinesl.size( ) = 78 s1 = 11329969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329969, s2 = 11452296, int(edited[s2]) = 0 s1 = 11329969, s2 = 11452296, d1 = 11, d2 = 17 Dl.O(d1) = 261669971 Dl.O(d2) = 175420421,175420420,263867059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329969, s2 = 11452296, dlinesl.size( ) = 18 s1 = 11330057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11330057, s2 = 14061600, int(edited[s2]) = 0 s1 = 11330057, s2 = 14061600, d1 = 8, d2 = 13 Dl.O(d1) = 258943162 Dl.O(d2) = 85028809,71456753,256571318,37429687,28887700,21611451,268388045,37429690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11330057, s2 = 14061600, dlinesl.size( ) = 14 s1 = 11330149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11330335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11330335, s2 = 11570058, int(edited[s2]) = 0 s1 = 11330335, s2 = 11570058, d1 = 26, d2 = 30 Dl.O(d1) = 261674831 Dl.O(d2) = 265706215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11330335, s2 = 11570058, dlinesl.size( ) = 42 s1 = 11330427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11330427, s2 = 11464512, int(edited[s2]) = 0 s1 = 11330427, s2 = 11464512, d1 = 28, d2 = 41 Dl.O(d1) = 272840757 Dl.O(d2) = 199827797,192553740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11330427, s2 = 11464512, dlinesl.size( ) = 42 s1 = 11330675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11330675, s2 = 11047724, int(edited[s2]) = 0 s1 = 11330675, s2 = 11047724, d1 = 7, d2 = 9 Dl.O(d1) = 126934848,271314815 Dl.O(d2) = 255501510,254799262,15705641,15705642,10872499,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904049,7744202,9781891,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,12031527,17120895,17120911,23392694,19661111,19661110,21482235,15478817,10703900,7071655,7071654,10703897,9767003,6421637,4028610,4028608,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773291,3044694,5029533,6891467,5181727,3161564,1850820,1056287,593917,331088,182315,100015,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,7871128,7871131,11787715,11787747,16854594,11913479,7969256,5070699,5070698,7969250,11913466,16999654,23263094,23263115,255503456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11330675, s2 = 11047724, dlinesl.size( ) = 8 s1 = 11331013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11331033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331033, s2 = 11230978, int(edited[s2]) = 0 s1 = 11331033, s2 = 11230978, d1 = 8, d2 = 0 Dl.O(d1) = 127182906 Dl.O(d2) = 71785549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331033, s2 = 11230978, dlinesl.size( ) = 20 s1 = 11331129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331129, s2 = 11210364, int(edited[s2]) = 0 s1 = 11331129, s2 = 11210364, d1 = 24, d2 = 20 Dl.O(d1) = 259961841 Dl.O(d2) = 256361773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331129, s2 = 11210364, dlinesl.size( ) = 22 s1 = 11331779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11914448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11914448, s2 = 11331780, int(edited[s2]) = 0 s1 = 11914448, s2 = 11331780, d1 = 0, d2 = 0 Dl.O(d1) = 7390117,11141757,16046329,16046330,22169941,29510973,256928647,257508847,72111308,85697531,99646646,113660598,127532201,140887524,262226531,176040812,185510779,193775090,200862025,206842908,211784396,215821348,219160646,221979847,224401042,226503727,228335443,229943067,231369549,232647846,233802965,274695917,235810631,236681963,237476121,238197442,238854386,238637657,266766018,235478646,266295161,232209505,230885522,229408265,227744649,225848548,223674501,221165402,218235469,214748057,210510505,205324381,263786887,183044502,173192332,162091397,261534559,122904768,108640087,94352424,80295990,66866638,54608537,43865464,34594607,26607312,19799912,14182459,9749734,9749733,11337561,9745137,6407951,6407949,7265296,4581737,4581738,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019613,2409270,1394103,792832,448992,252658,252659,448998,792846,1394174,2409424,2409450,2409449,4021052,6408073,4021894,2409853,2409854,4021900,4021828,2409820,1394352,1394350,2409816,3135530,3135529,4701471,2832418,1643271,934421,526614,526615,934427,1643284,2832446,4701534,7440748,255084311,14179227,9747654,6409514,254312823,2409464,4021077,6409517,9747659,14179236,19795406,18969588,13534342,9264227,9264228,13534344,18969592,21175639,15216034,10496063,268067675,255066466,9751927,9751928,9752070,14186070,19804839,23749559,17424082,12281056,8294086,5350847,5350845,8294079,12281043,13708356,9389298,9389299,13708362,12282165,8294707,8294705,12282156,17425751,20298515,20298516,16920694,11842024,11842023,16920690,18927963,18927966,25540431,27271243,26608351,26608348,26608697,26608390,19800822,14183145,9750179,9750181,254762272,21904016,29216461,23417924,17141854,12047248,255149679,23417922,20281192,20281193,27209328,34589461,26602789,19796348,19796349,16921110,11842248,7914213,5031053,3045511,1773730,1773731,3045513,5031055,7914219,11842259,16921129,23187424,17424032,17424031,17111350,12024716,12024718,14551440,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597116,34584219,39909543,31233285,23749877,23749878,27211100,29217892,29217891,35333596,27208697,255445066,10012839,6581074,6581075,10012842,14551643,20280572,23749834,23187558,16921225,16921224,12566892,12566890,17759128,24120280,27271027,20335298,255071996,19778642,14166986,14166987,19778645,26581845,23089782,16835661,16835662,23089787,24571505,24571504,26215846,26215845,26600998,19794802,19794803,255263532,26600979,19794785,15623815,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661509,22661510,22823294,16602931,16602927,22065920,21899875,15820753,10963977,10963979,15820760,13744824,9417223,7440457,4701390,4701393,7440462,9584054,13958689,17759164,17759165,16835673,11773199,7860204,7860203,9584071,9584073,13958729,16809703,15864185,10995499,10995496,15823801,19199868,19199867,19199611,13712226,11062674,7335159,7335162,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,4988756,7418380,7418378,7860260,11773312,13847776,19360085,26037935,29341276,22009447,22009446,29341279,37910285,47831987,59229712,71967522,85554895,99501466,113512652,127382612,140738519,153419833,165222198,272852618,193693825,200791452,206781160,211730066,215774122,264750446,224366097,226471708,226387944,265134526,218995431,215629759,211557613,263793716,193398284,185074652,175541666,164793628,152964316 Dl.O(d2) = 7390117,11141757,16046329,16046330,22169941,29510973,256928647,257508847,72111308,85697531,99646646,113660598,127532201,140887524,262226531,176040812,185510779,193775090,200862025,206842908,211784396,215821348,219160646,221979847,224401042,226503727,228335443,229943067,231369549,232647846,233802965,274695917,235810631,236681963,237476121,238197442,238854386,238637657,266766018,235478646,266295161,232209505,230885522,229408265,227744649,225848548,223674501,221165402,218235469,214748057,210510505,205324381,263786887,183044502,173192332,162091397,261534559,122904768,108640087,94352424,80295990,66866638,54608537,43865464,34594607,26607312,19799912,14182459,9749734,9749733,11337561,9745137,6407951,6407949,7265296,4581737,4581738,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019613,2409270,1394103,792832,448992,252658,252659,448998,792846,1394174,2409424,2409450,2409449,4021052,6408073,4021894,2409853,2409854,4021900,4021828,2409820,1394352,1394350,2409816,3135530,3135529,4701471,2832418,1643271,934421,526614,526615,934427,1643284,2832446,4701534,7440748,255084311,14179227,9747654,6409514,254312823,2409464,4021077,6409517,9747659,14179236,19795406,18969588,13534342,9264227,9264228,13534344,18969592,21175639,15216034,10496063,268067675,255066466,9751927,9751928,9752070,14186070,19804839,23749559,17424082,12281056,8294086,5350847,5350845,8294079,12281043,13708356,9389298,9389299,13708362,12282165,8294707,8294705,12282156,17425751,20298515,20298516,16920694,11842024,11842023,16920690,18927963,18927966,25540431,27271243,26608351,26608348,26608697,26608390,19800822,14183145,9750179,9750181,254762272,21904016,29216461,23417924,17141854,12047248,255149679,23417922,20281192,20281193,27209328,34589461,26602789,19796348,19796349,16921110,11842248,7914213,5031053,3045511,1773730,1773731,3045513,5031055,7914219,11842259,16921129,23187424,17424032,17424031,17111350,12024716,12024718,14551440,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,15945903,11065482,11065484,15945910,21901727,15822129,10964789,10964792,15822137,21901746,22050553,22041480,15938829,15938830,22041492,26597116,34584219,39909543,31233285,23749877,23749878,27211100,29217892,29217891,35333596,27208697,255445066,10012839,6581074,6581075,10012842,14551643,20280572,23749834,23187558,16921225,16921224,12566892,12566890,17759128,24120280,27271027,20335298,255071996,19778642,14166986,14166987,19778645,26581845,23089782,16835661,16835662,23089787,24571505,24571504,26215846,26215845,26600998,19794802,19794803,255263532,26600979,19794785,15623815,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661509,22661510,22823294,16602931,16602927,22065920,21899875,15820753,10963977,10963979,15820760,13744824,9417223,7440457,4701390,4701393,7440462,9584054,13958689,17759164,17759165,16835673,11773199,7860204,7860203,9584071,9584073,13958729,16809703,15864185,10995499,10995496,15823801,19199868,19199867,19199611,13712226,11062674,7335159,7335162,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,4988756,7418380,7418378,7860260,11773312,13847776,19360085,26037935,29341276,22009447,22009446,29341279,37910285,47831987,59229712,71967522,85554895,99501466,113512652,127382612,140738519,153419833,165222198,272852618,193693825,200791452,206781160,211730066,215774122,264750446,224366097,226471708,226387944,265134526,218995431,215629759,211557613,263793716,193398284,185074652,175541666,164793628,152964316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11914448, s2 = 11331780, dlinesl.size( ) = 2 s1 = 11914448, s2 = 11331780, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11914448, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11331801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331801, s2 = 11050658, int(edited[s2]) = 0 s1 = 11331801, s2 = 11050658, d1 = 16, d2 = 7 Dl.O(d1) = 261702059,165229154,175934020,172456084,161255986,260936160,121770449,107385294 Dl.O(d2) = 256731974,13902931,13902930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331801, s2 = 11050658, dlinesl.size( ) = 2 s1 = 11331801, s2 = 11050658, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11331801, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 10749086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11332175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332175, s2 = 11472304, int(edited[s2]) = 0 s1 = 11332175, s2 = 11472304, d1 = 23, d2 = 30 Dl.O(d1) = 262223933 Dl.O(d2) = 206823488,206823490,206823492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332175, s2 = 11472304, dlinesl.size( ) = 32 s1 = 11332179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4178533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4178533, s2 = 11262934, int(edited[s2]) = 0 s1 = 4178533, s2 = 11262934, d1 = 70, d2 = 89 Dl.O(d1) = 156838475 Dl.O(d2) = 259047152,78543627,92591100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4178533, s2 = 11262934, dlinesl.size( ) = 10 s1 = 11332255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332255, s2 = 12969123, int(edited[s2]) = 0 s1 = 11332255, s2 = 12969123, d1 = 5, d2 = 49 Dl.O(d1) = 140859379 Dl.O(d2) = 262453945,263705385,262914896,262562456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332255, s2 = 12969123, dlinesl.size( ) = 26 s1 = 11332323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332323, s2 = 10403917, int(edited[s2]) = 0 s1 = 11332323, s2 = 10403917, d1 = 8, d2 = 19 Dl.O(d1) = 140872319 Dl.O(d2) = 176029965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332323, s2 = 10403917, dlinesl.size( ) = 16 s1 = 11332327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332327, s2 = 11459824, int(edited[s2]) = 0 s1 = 11332327, s2 = 11459824, d1 = 1, d2 = 35 Dl.O(d1) = 140872630 Dl.O(d2) = 264049470,193766554,193766553,200853793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332327, s2 = 11459824, dlinesl.size( ) = 18 s1 = 3884714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11332535, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11332667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332667, s2 = 11452898, int(edited[s2]) = 0 s1 = 11332667, s2 = 11452898, d1 = 27, d2 = 25 Dl.O(d1) = 263897201 Dl.O(d2) = 263795417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332667, s2 = 11452898, dlinesl.size( ) = 30 s1 = 11332903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332903, s2 = 15244233, int(edited[s2]) = 0 s1 = 11332903, s2 = 15244233, d1 = 4, d2 = 2 Dl.O(d1) = 260282948,140601635 Dl.O(d2) = 261445014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332903, s2 = 15244233, dlinesl.size( ) = 12 s1 = 15244234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15244234, s2 = 11332904, int(edited[s2]) = 0 s1 = 15244234, s2 = 11332904, d1 = 3, d2 = 5 Dl.O(d1) = 261445015 Dl.O(d2) = 105882160,260282949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15244234, s2 = 11332904, dlinesl.size( ) = 12 s1 = 11333507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11333507, s2 = 14362705, int(edited[s2]) = 0 s1 = 11333507, s2 = 14362705, d1 = 15, d2 = 0 Dl.O(d1) = 141216622,153888534,165665100,263161331,264224855 Dl.O(d2) = 165665099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11333507, s2 = 14362705, dlinesl.size( ) = 16 s1 = 11333513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11333513, s2 = 10425972, int(edited[s2]) = 0 s1 = 11333513, s2 = 10425972, d1 = 50, d2 = 1 Dl.O(d1) = 273204232,263832974 Dl.O(d2) = 114318313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11333513, s2 = 10425972, dlinesl.size( ) = 60 s1 = 15223262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15223262, s2 = 11040006, int(edited[s2]) = 0 s1 = 15223262, s2 = 11040006, d1 = 8, d2 = 16 Dl.O(d1) = 260548256,126873786,140220400,152910086,164740492,173742980,173742979,183514206,183514204,173742983,162741013,150645016,137647286,123965457,109825253,95620427,95620428,109825255 Dl.O(d2) = 152910086,164740492,173742980,173742979,183514206,183514204,173742983,162741013,150645016,137647286,123965457,109825253,109825252,123965455,137647279,257918024,256227340,39511152,254855304,36805891,46689861,255571318,255461568,24310440,31827809,40524880,48252178,49999468,39982516,34062486,31306859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15223262, s2 = 11040006, dlinesl.size( ) = 16 s1 = 11333771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11333771, s2 = 11036992, int(edited[s2]) = 0 s1 = 11333771, s2 = 11036992, d1 = 21, d2 = 15 Dl.O(d1) = 264210823 Dl.O(d2) = 258749526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11333771, s2 = 11036992, dlinesl.size( ) = 30 s1 = 11333803, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11333873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8092501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14012793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15967714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11334665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334665, s2 = 11362846, int(edited[s2]) = 0 s1 = 11334665, s2 = 11362846, d1 = 13, d2 = 12 Dl.O(d1) = 258015262,30138676,36641456,35405635,29724698,22368212,22368213,29724699,25367474,20857329,14956044,14956043,20857326,15827110,10968000,10968001,15008511,254155312,20205754,14607622,259184485 Dl.O(d2) = 262593097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334665, s2 = 11362846, dlinesl.size( ) = 8 s1 = 11334747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334747, s2 = 11150960, int(edited[s2]) = 0 s1 = 11334747, s2 = 11150960, d1 = 34, d2 = 40 Dl.O(d1) = 128245773 Dl.O(d2) = 255935402,30152264,30152265,38734059,48654932,60051287,59428248,59428249,257797578,64442734,52567564,52567565,256380188,29183270,29183269,22625591,22625590,24123386,21389265,15405060,10647850,10647849,15405059,17789936,17789923,16031037,11131195,11131193,16031028,19639866,26373144,34250287,34172576,26304673,26304670,29489143,29489144,26304659,26304658,34172559,43262524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334747, s2 = 11150960, dlinesl.size( ) = 50 s1 = 11334963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334963, s2 = 14277836, int(edited[s2]) = 0 s1 = 11334963, s2 = 14277836, d1 = 23, d2 = 24 Dl.O(d1) = 260036882,48701567,48701564,38942108,38942110,48861746,59391575,48003374,48003372,59391572,259367941,86587040,258185081,38942123,30355841,30355842,38942126,48861767,48861776,256452557,30355816,30355817,38942085,48861709,48700010,258172535,86428243,86587042,72989947,257577081,38942128,30355844,22953976,16717336,11675563,7784433,4934684,254247169,1728092,254369251,7784436,11675566,11675555,255508333,11675557,11675559,268237333,30355824,38942094,48861721,60254529,60254518,60254517,60254519,48861707,38942083,30355813,30355812,38942071,30355806,22953949,16717318,11675550,11675549,16717315,22953933,22953934,30355785,38942047,48861670,48861717,60254503,48861691,48861689,60254501,72989894,72122498,257530310,38092041,29528482,22186100,255092496,11150554,16059016,22186098,29528481,256929891,22182732,16056106,16056105,22182731,29525196,38089157,29528478,29528479,38092035,48003368,43933929,34660310,34660309,38089148,29525191,268222191,7394330,254350891,2814404,4671366,7394331,11148412,16056108,22182734,29525197,38089160,48000970,258119479,85706059,85706058,72120882,258742971,99654208,113306642,113306641,99302873,85357730,85357729,259339801,258713873,71767444,258713871,59023736,47620266,37697063,37697064,47620268,59023738,71767446,71767442,59023734,258090023,259958835,99302870,99302871,113306640,127166559,127166558,140513367,127166560,261136621,127166561,140513370,153196304,165015378,273341819,193560460,193560458,185261200,175748273,273538687,200674239,200674240,200674235,193560456,263877371,264484643,206676600,206676599,211636136,264742813,211636138,274462894,215690764,274189025,219044464,215690760,215690761,219044466 Dl.O(d2) = 31605172,24102280,24102281,256406393,256541909,24102284,17743702,12554745,12554744,255583467,31605175,40288969,50310287,50310298,40288980,40288981,50310300,61790873,74575372,88191119,102182957,116245274,102182955,102182954,116245276,130156608,261853827,167634494,156025639,272611785,143487489,273091030,261311691,116245270,102182953,272520628,143487488,130156605,116245272,116245273,127778660,113903825,259509590,85929970,99885289,260602771,141135819,153809518,141135817,141135818,261853825,130156603,272271365,156025638,165591318,165591317,176267823,185719881,178097156,167634496,167634495,178097155,176267822,263550633,201025712,264416869,208026982,210586687,210586686,264680331,206980659,202247708,202247709,195374023,195374024,199160459,191767278,183171758,183171755,173342603,162274659,150109784,150109785,261544294,163047259,159235647,146862328,133605491,133605490,146862326,138269106,124797211,124797210,138269104,151081952,163047257,170573002,261964115,260859859,119731708,133605492,262463797,261544297,260388163,109056906,119731705,109056886,94783043,80710682,67237300,54912685,54912686,67237298,54912684,268819845,256732555,44103273,54912678,67237291,258517011,54912699,44103285,34776405,26748022,19907803,19907804,26748023,26748016,26748015,256732553,54912682,44103280,34776402,26748019,26748020,34776404,44103283,257827745,42751233,53200292,65185356,270127035,259073119,65185359,53200295,256678121,33721918,42751234,53200297,60097387,48701565,48701564,257577077,258373022,90816013,104993632,106820378,92508822,78469262,65185363,53200300,42751238,33721920,33721921,42751239,257827747,60254580,48861759,38942117,30355838,256452555,48861757,60254577,48861763,48861762,58290449,46924677,46924678,58290451,48861749,38942111,38942110,48861746,59391575,48003374,48003372,59391572,259367941,86587040,258185081,38942123,30355841,22953973,16717335,11675563,7784433,4934684,254247169,1728092,254369251,7784436,11675566,11675555,255508333,16717325,22953962,30355822,38942093,257577075,48861712,60254516,60254529,60254518,60254517,60254519,48861707,38942083,30355813,30355812,38942071,30355806,22953949,16717318,11675550,11675549,16717315,22953933,22953934,30355785,38942047,48861670,48861717,60254503,48861691,48861689,60254501,270345301,86587008,258185073,48861706,38942080,30355810,30355809,38942076,38942057,30355796,22953943,16717313,255508331,30355795,30355794,38942055,43905129,38942065,38942064,48861693,256996671,38942053,257577071,257886380,48861687,38942060,256996673,48861682,256452541,30355791,38942052,257577069,38942059,34632442,26641908,256201367,43905134,48861698,60254510,72989885,72989886,86587009,100548028,113664696,99650992,85702439,72116794,256965964,38092042,29528482,22186100,255092496,11150554,16059016,22186098,29528481,256929891,22182732,16056106,16056105,22182731,29525196,38089157,29528478,29528479,38092035,48003368,43933929,34660310,34660309,38089148,29525191,268222191,7394330,254350891,2814404,4671366,7394331,11148412,16056108,256914589,26375231,255306629,9683023,6368979,3996450,2754813,254163175,511953,511954,907841,1596950,254344655,268217583,59106614,71845181,85430569,99371571,113371789,99801225,85849071,72257914,59524149,59524150,59524151,59524152,48136986,38226732,29660432,22308126,22308128,29660435,38226735,48136994,59524180,72257955,85849119,72258039,72258038,258130407,48136990,48136989,59524176,72257945,60868996,60868997,73619603,61963059,50467108,256553826,31734855,38226765,48137046,48136974,48136973,59524163,59524229,60709276,60709275,73457641,87075149,99595510,99595509,102398525,88397500,74763332,74763333,88397479,85849159,72258010,72258011,85849163,99801266,85849145,72257998,72257999,61963055,61963054,60709273,60709274,73457638,87075138,271283583,258620243,270271405,259539363,101071374,115147179,116112277,102054513,257332618,74456614,74456615,88068911,88068880,88068879,258553934,116112290,116112292,116112234,102054432,88068855,74456560,61673286,61673285,74456557,88068852,80395831,80395830,255761600,66965607,54706561,254986882,255761598,80395802,71982435,59245293,47848792,37928839,29362281,268199564,47848793,256823958,81275854,95334890,81275839,81275838,95206685,99516224,99516225,256439686,86440184,81275767,67808151,55466455,44617432,35235466,35235467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334963, s2 = 14277836, dlinesl.size( ) = 2 s1 = 11334963, s2 = 14277836, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11334963, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 16013265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16013265, s2 = 10549794, int(edited[s2]) = 0 s1 = 16013265, s2 = 10549794, d1 = 14, d2 = 81 Dl.O(d1) = 29032017 Dl.O(d2) = 266363223,236097307,236944268,237715973,266754403,239644897,240189722,240189728,239644891,239056866,238417202,237715971,236944267,236944268,266688991,239056862,238417200,266815533,239056866,239056865,239644890,240189726,240189710,266923813,240693763,240189730,240189729,266972415,266961796,240189721,239644885,239644884,240189719,240693768,241160558,267050408,241160562,240693772,240693773,240189734,239644893,239644892,240189731,240189721,239644885,239644884,240189718,240693766,241160556,241160561,240693772,240693773,240693777,241160563,241160557,241160558,267050408,241160562,240693772,240693773,240189734,239644893,239056868,239056869,239644895,240189737,240693771,241160560,241592797,241160564,266961798,240693775,241160563,241592801,241592799,241160555,241160556,241160561,240693772,240693773,240189734,239644893,239056868,239056869,239644894,240189735,240693778,240446611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16013265, s2 = 10549794, dlinesl.size( ) = 18 s1 = 11335055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335055, s2 = 11358822, int(edited[s2]) = 0 s1 = 11335055, s2 = 11358822, d1 = 15, d2 = 11 Dl.O(d1) = 141657663,154310214,166059573 Dl.O(d2) = 273363581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335055, s2 = 11358822, dlinesl.size( ) = 14 s1 = 11335091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335091, s2 = 14043980, int(edited[s2]) = 0 s1 = 11335091, s2 = 14043980, d1 = 25, d2 = 29 Dl.O(d1) = 260039650 Dl.O(d2) = 16617656,11591363,7716073,4883818,4883817,7716071,255116717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335091, s2 = 14043980, dlinesl.size( ) = 32 s1 = 11335399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335399, s2 = 11493918, int(edited[s2]) = 0 s1 = 11335399, s2 = 11493918, d1 = 7, d2 = 3 Dl.O(d1) = 263188777 Dl.O(d2) = 207297177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335399, s2 = 11493918, dlinesl.size( ) = 8 s1 = 11335491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335491, s2 = 11311796, int(edited[s2]) = 0 s1 = 11335491, s2 = 11311796, d1 = 17, d2 = 27 Dl.O(d1) = 262756774,96754358,82794974,69271648,56706014,45990684,36219452,27825714,27825711,36219443,42213562,42215609,35527308,35527306,27735032,27735028,35587358,35587357,35621279,27648649,27648646,27455944,27455946,35604410,45108795,35603808,35603725,35603640,27419450,27419445,35603660,45108643,47560521,58943250,58943193,58943188,70113067,70113069,83637450,82072405,259195483 Dl.O(d2) = 150859401,162889532,263449679,199460049,265147257,264800110,263218134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335491, s2 = 11311796, dlinesl.size( ) = 26 s1 = 16179337, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11335845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11335961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335961, s2 = 11177522, int(edited[s2]) = 0 s1 = 11335961, s2 = 11177522, d1 = 10, d2 = 14 Dl.O(d1) = 142011443 Dl.O(d2) = 270301098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335961, s2 = 11177522, dlinesl.size( ) = 16 s1 = 11335993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335993, s2 = 14202833, int(edited[s2]) = 0 s1 = 11335993, s2 = 14202833, d1 = 0, d2 = 0 Dl.O(d1) = 260846356,97737698,97737699,259997758,112670129,98675523,257522348,58456934,256400536,37183908,268085972,15427442,254475412,2661187,2661188,4120629,2464910,1424901,1424904,865798,491033,275775 Dl.O(d2) = 260846356,97737698,97737699,259997758,112670129,98675523,257522348,58456934,256400536,37183908,268085972,15427442,254475412,2661187,2661188,4120629,2464910,1424901,1424904,865798,491033,275775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335993, s2 = 14202833, dlinesl.size( ) = 2 s1 = 11335993, s2 = 14202833, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11335993, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14202834, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11335999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335999, s2 = 11200438, int(edited[s2]) = 0 s1 = 11335999, s2 = 11200438, d1 = 8, d2 = 12 Dl.O(d1) = 261708838,42201957,256483878,16122351,11199443,7431174,4695820,2829320,1641578,933454,926986,926987,1630254,2810189,4664527,7383221,11130849,16030523,15528437,15528436,11193112 Dl.O(d2) = 17125951,22243487,268103244,48070958,46518920,46518921,57874428,70575342,61941323,50449942,50449944,61941327,63302415,51584175,51584163,51584162,51584161,63302406,71642253,61229847,61229846,64617401,63302540,61229851,61229850,58921223,58921222,51584188,41362769,32515837,24873796,18376358,18376359,256089321,41362771,50903999,50904000,258316047,258094822,19414910,19414912,26106020,33171824,26633926,25328925,18749554,13348680,13348681,18749557,25328928,26112812,26112809,25307930,20922462,18732152,13335142,13335144,13892371,9532408,9532262,9532195,6252978,6252980,9532208,13889721,15013315,15013313,19414523,20921960,256029230,12918803,254628773,5723997,8788104,12918811,18214125,24679546,32289406,33652275,25847862,19192945,19192946,25847863,32790626,25092440,18546303,18546304,25092442,32790629,25847912,19193000,19192999,25847909,25847842,25847841,33652262,33652260,33652261,25847919,19193005,13707616,9388731,6150973,254663171,13707615,19193003,25847916,33652329,33652327,268760503,42682674,257823985,78402026,92438334,100273284,86311794,72714898,257205594,48586211,48367823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335999, s2 = 11200438, dlinesl.size( ) = 8 s1 = 11336057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336057, s2 = 11281802, int(edited[s2]) = 0 s1 = 11336057, s2 = 11281802, d1 = 5, d2 = 8 Dl.O(d1) = 142081897,128722834,128722835,142081899 Dl.O(d2) = 154720666,150470684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336057, s2 = 11281802, dlinesl.size( ) = 12 s1 = 13516577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3478491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13653480, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11336675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11336761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336761, s2 = 14844122, int(edited[s2]) = 0 s1 = 11336761, s2 = 14844122, d1 = 8, d2 = 12 Dl.O(d1) = 260642936 Dl.O(d2) = 263578142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336761, s2 = 14844122, dlinesl.size( ) = 18 s1 = 11336801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336801, s2 = 10568367, int(edited[s2]) = 0 s1 = 11336801, s2 = 10568367, d1 = 52, d2 = 37 Dl.O(d1) = 128904828,115002812,100948784,258830575,49207651,39281308,39281307,49207648 Dl.O(d2) = 28971022,37514441,47422166,39281345,30684373,23267386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336801, s2 = 10568367, dlinesl.size( ) = 20 s1 = 16182299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14202703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15114208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15917969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15917969, s2 = 15114207, int(edited[s2]) = 0 s1 = 15917969, s2 = 15114207, d1 = 6, d2 = 6 Dl.O(d1) = 50195076,61678451,258894891,259519031,102064050,88077871,74465577,74465576,88077199,88077198,88077194,74464814,258895381,61681924,61681925,74464811,88077187,259519461,259519571,260134445 Dl.O(d2) = 50195076,61678451,258894891,259519031,102064050,88077871,74465577,74465576,88077199,88077198,88077194,74464814,258895381,61681924,61681925,74464811,88077187,259519461,259519571,260134445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15917969, s2 = 15114207, dlinesl.size( ) = 2 s1 = 15917969, s2 = 15114207, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15917969, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11337749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11337749, s2 = 11114718, int(edited[s2]) = 0 s1 = 11337749, s2 = 11114718, d1 = 16, d2 = 8 Dl.O(d1) = 260744570 Dl.O(d2) = 256380689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11337749, s2 = 11114718, dlinesl.size( ) = 20 s1 = 11337879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11337899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11337899, s2 = 11483224, int(edited[s2]) = 0 s1 = 11337899, s2 = 11483224, d1 = 16, d2 = 11 Dl.O(d1) = 263610345,201838793,207674373,212486259,216420424,264798758,264798756,219683181,265026014,222438358,222438353,219683187,216420430,216420429,216420435,212486264,263603686,201838793,207674373 Dl.O(d2) = 219683190,216420431,212486262,212486261,216420429,216420435,212486264,263603686,201838794,263953502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11337899, s2 = 11483224, dlinesl.size( ) = 2 s1 = 11337899, s2 = 11483224, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11337899, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11337915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11337915, s2 = 11378820, int(edited[s2]) = 0 s1 = 11337915, s2 = 11378820, d1 = 0, d2 = 12 Dl.O(d1) = 142788760 Dl.O(d2) = 262696556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11337915, s2 = 11378820, dlinesl.size( ) = 8 s1 = 11337963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11337963, s2 = 12321314, int(edited[s2]) = 0 s1 = 11337963, s2 = 12321314, d1 = 0, d2 = 13 Dl.O(d1) = 142819524 Dl.O(d2) = 212499984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11337963, s2 = 12321314, dlinesl.size( ) = 18 s1 = 11338093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338167, s2 = 11254524, int(edited[s2]) = 0 s1 = 11338167, s2 = 11254524, d1 = 26, d2 = 21 Dl.O(d1) = 142872179,155454267,262798299,263614245,201898711,207725305,204361970,264081596,262013403,134976940,134976941,148099098,272731172,65243815,259705821 Dl.O(d2) = 262507924,40598353,40598354,269413344,50648222,50505008,49851450,39828003,31145851,31145850,39828001,259694635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338167, s2 = 11254524, dlinesl.size( ) = 24 s1 = 11338243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338243, s2 = 11327664, int(edited[s2]) = 0 s1 = 11338243, s2 = 11327664, d1 = 51, d2 = 44 Dl.O(d1) = 142905758,155483378,262799415 Dl.O(d2) = 259026033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338243, s2 = 11327664, dlinesl.size( ) = 54 s1 = 11338389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338389, s2 = 11085850, int(edited[s2]) = 0 s1 = 11338389, s2 = 11085850, d1 = 13, d2 = 14 Dl.O(d1) = 272557440,258247217 Dl.O(d2) = 268437425,255165369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338389, s2 = 11085850, dlinesl.size( ) = 14 s1 = 11338541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338541, s2 = 11529340, int(edited[s2]) = 0 s1 = 11338541, s2 = 11529340, d1 = 3, d2 = 0 Dl.O(d1) = 143035281,155585569 Dl.O(d2) = 274421437,229634895,227999654,274544490,215227175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338541, s2 = 11529340, dlinesl.size( ) = 2 s1 = 11338541, s2 = 11529340, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11338541, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 3234325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338877, s2 = 11354088, int(edited[s2]) = 0 s1 = 11338877, s2 = 11354088, d1 = 24, d2 = 10 Dl.O(d1) = 274081010 Dl.O(d2) = 262182400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338877, s2 = 11354088, dlinesl.size( ) = 28 s1 = 11338887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338887, s2 = 11138218, int(edited[s2]) = 0 s1 = 11338887, s2 = 11138218, d1 = 2, d2 = 24 Dl.O(d1) = 129777229 Dl.O(d2) = 87856490,74251991,61473861,257065085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338887, s2 = 11138218, dlinesl.size( ) = 26 s1 = 11339077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13656372, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13656372, s2 = 1820758, int(edited[s2]) = 0 s1 = 13656372, s2 = 1820758, d1 = 10, d2 = 13 Dl.O(d1) = 122208355,261518613,143170084,155724062,155480632,261125346,155480634,155480635,167114864,177614924 Dl.O(d2) = 207732401,212535532,210653662,205493541,199256356,191885041,183316199,183316198,183316200,173515218,162477243,261551263,260396383,259880472,71806441,59065840,47665899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13656372, s2 = 1820758, dlinesl.size( ) = 2 s1 = 13656372, s2 = 1820758, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13656372, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 14627691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14627691, s2 = 6823948, int(edited[s2]) = 0 s1 = 14627691, s2 = 6823948, d1 = 63, d2 = 32 Dl.O(d1) = 86738346,86733879,86733873,73128109,73128110,73131749,60390830,48992655,39068489,39068490,48992657,60390832,60401162,60401163,73128102,86733866,73128130,60390833,60390834,60387667,60387668,64138203,60387702,60387701,60387704,52286263,41945725,41945724,52286262,64138195,52286279,41945740,41945741,52286086,41945553,33003725,25278946,25278947,18706469,18706468,25279069,33003731,33003876,33003877,33003879,41945584,41945585,52286118,59592891,52286408,41945847 Dl.O(d2) = 258886630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14627691, s2 = 6823948, dlinesl.size( ) = 40 s1 = 13656592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11339475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339475, s2 = 11570422, int(edited[s2]) = 0 s1 = 11339475, s2 = 11570422, d1 = 13, d2 = 11 Dl.O(d1) = 143220926,155772423,263511917 Dl.O(d2) = 274187095,265700778,266317687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339475, s2 = 11570422, dlinesl.size( ) = 8 s1 = 11339493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339493, s2 = 11171750, int(edited[s2]) = 0 s1 = 11339493, s2 = 11171750, d1 = 12, d2 = 9 Dl.O(d1) = 129903835,256989498,87987002,74383960,61607222,254803526,31427363,29439156,29439157,29372157,29372158,37938485,32955301,25235397,18678990,18678989,20338327,27274572,35401268,44826981,55734637,68132504,257387922 Dl.O(d2) = 257684648,23592505,255785462,36631966,255785464,268901984,97966246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339493, s2 = 11171750, dlinesl.size( ) = 14 s1 = 11339649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339649, s2 = 11239526, int(edited[s2]) = 0 s1 = 11339649, s2 = 11239526, d1 = 12, d2 = 0 Dl.O(d1) = 261843811,155885334,262350593,151992462 Dl.O(d2) = 125936672,259889198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339649, s2 = 11239526, dlinesl.size( ) = 14 s1 = 11339747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339747, s2 = 14125378, int(edited[s2]) = 0 s1 = 11339747, s2 = 14125378, d1 = 0, d2 = 0 Dl.O(d1) = 143367917,155910591,167525277,177996610,167525268,167525269,177996611,187244469,177996603,167525262,155910563,143367901,143367902,143367920,130035679,130035680,143367923,261304073,261304075,155910570,167525269,177996611,187244469,177996603,167525262,155910563,143367901,143367902,143367920,130035679,130035680,143367923,155910568,143367908,143367909,155910576,167525275,177996621,187244482,177996636,167525297,263250691,195295875,187244473,177996607,262352981,143367903,143367904,260731553,102067447,102067448,116125776,130035673,143367907,155910573,167525272,166107015,154360595 Dl.O(d2) = 143367917,155910591,167525277,177996610,167525268,167525269,177996611,187244469,177996603,167525262,155910563,143367901,143367902,143367920,130035679,130035680,143367923,261304073,261304075,155910570,167525269,177996611,187244469,177996603,167525262,155910563,143367901,143367902,143367920,130035679,130035680,143367923,155910568,143367908,143367909,155910576,167525275,177996621,187244482,177996636,167525297,263250691,195295875,187244473,177996607,262352981,143367903,143367904,260731553,102067447,102067448,116125776,130035673,143367907,155910573,167525272,166107015,154360595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339747, s2 = 14125378, dlinesl.size( ) = 2 s1 = 11339747, s2 = 14125378, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11339747, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14125377, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11340011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340011, s2 = 11498352, int(edited[s2]) = 0 s1 = 11340011, s2 = 11498352, d1 = 3, d2 = 8 Dl.O(d1) = 143453775 Dl.O(d2) = 273923452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340011, s2 = 11498352, dlinesl.size( ) = 8 s1 = 11340143, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14112798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112798, s2 = 2961063, int(edited[s2]) = 0 s1 = 14112798, s2 = 2961063, d1 = 9, d2 = 4 Dl.O(d1) = 55726526,68124278,81614003,95646976,109850027,113536325,99525300,85578683,71992046,59255443 Dl.O(d2) = 256235896,29390036,29390035,29374303,29374302,256038660,59255740,61884042,61884043,74676192,88301545,102294377,116383733,105473505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14112798, s2 = 2961063, dlinesl.size( ) = 2 s1 = 14112798, s2 = 2961063, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14112798, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 11340361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11340439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340439, s2 = 11244634, int(edited[s2]) = 0 s1 = 11340439, s2 = 11244634, d1 = 22, d2 = 26 Dl.O(d1) = 261860119 Dl.O(d2) = 268932619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340439, s2 = 11244634, dlinesl.size( ) = 32 s1 = 10940327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11340657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340657, s2 = 11116094, int(edited[s2]) = 0 s1 = 11340657, s2 = 11116094, d1 = 8, d2 = 4 Dl.O(d1) = 260154398,74776918,70858104 Dl.O(d2) = 256552070,255201684,15219718,10498524,6922806,4349116,4349114,6922696,6922695,10498365,15219492,15618424,21652871,28408616,21187317,18450447,18450448,24970202,21182422,15221241,10499554,6923429,6923428,10499553,15221235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340657, s2 = 11116094, dlinesl.size( ) = 10 s1 = 11116093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116093, s2 = 11340658, int(edited[s2]) = 0 s1 = 11116093, s2 = 11340658, d1 = 6, d2 = 9 Dl.O(d1) = 38282045,38282047,41961417,41961418,52302030,48194104,42190583,33230288,25481606,25481605,25481212,25481213,24245481,17869035,12654007,8591361,5582421,3463605,2054112,2054114,3463623,5582459,8591441,255201685,256552071 Dl.O(d2) = 50488517,61980634,260154399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116093, s2 = 11340658, dlinesl.size( ) = 10 s1 = 11340663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340663, s2 = 11488754, int(edited[s2]) = 0 s1 = 11340663, s2 = 11488754, d1 = 8, d2 = 6 Dl.O(d1) = 143667559,262369719 Dl.O(d2) = 273753013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340663, s2 = 11488754, dlinesl.size( ) = 12 s1 = 11340711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11340727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11341323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11341573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11341573, s2 = 11176004, int(edited[s2]) = 0 s1 = 11341573, s2 = 11176004, d1 = 10, d2 = 0 Dl.O(d1) = 260530178 Dl.O(d2) = 62626394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11341573, s2 = 11176004, dlinesl.size( ) = 14 s1 = 11341601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11341601, s2 = 14089090, int(edited[s2]) = 0 s1 = 11341601, s2 = 14089090, d1 = 0, d2 = 2 Dl.O(d1) = 258055912 Dl.O(d2) = 128590555,114692843,114692842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11341601, s2 = 14089090, dlinesl.size( ) = 2 s1 = 11341601, s2 = 14089090, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11341601, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13679841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342003, s2 = 12313356, int(edited[s2]) = 0 s1 = 11342003, s2 = 12313356, d1 = 13, d2 = 4 Dl.O(d1) = 144924223,157338625,168778537,179058656,188124571,196025571,202788681,273443506 Dl.O(d2) = 202788678,196025567,262464290,202788675,196025564,262464288,208468792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342003, s2 = 12313356, dlinesl.size( ) = 2 s1 = 11342003, s2 = 12313356, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11342003, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 11342193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342193, s2 = 15986148, int(edited[s2]) = 0 s1 = 11342193, s2 = 15986148, d1 = 12, d2 = 19 Dl.O(d1) = 261913203 Dl.O(d2) = 152313149,139583958,126209284,112349086,98366763,84457361,70900803,58187806,46821647,36943722,28444062,21218040,15249289,15249288,21218038,28444057,36943720,46821643,58187803,70900800,84457360,98366762,112349085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342193, s2 = 15986148, dlinesl.size( ) = 2 s1 = 11342193, s2 = 15986148, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11342193, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 15986147, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11342321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342321, s2 = 11562180, int(edited[s2]) = 0 s1 = 11342321, s2 = 11562180, d1 = 9, d2 = 2 Dl.O(d1) = 273205219 Dl.O(d2) = 217062431,265456189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342321, s2 = 11562180, dlinesl.size( ) = 8 s1 = 11342377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342377, s2 = 10693104, int(edited[s2]) = 0 s1 = 11342377, s2 = 10693104, d1 = 14, d2 = 18 Dl.O(d1) = 261916591 Dl.O(d2) = 118806757,118806758,114389210,270858787,38759573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342377, s2 = 10693104, dlinesl.size( ) = 24 s1 = 11342583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342583, s2 = 11171606, int(edited[s2]) = 0 s1 = 11342583, s2 = 11171606, d1 = 13, d2 = 0 Dl.O(d1) = 145295778,261384461,132057866,145295777,148458908,148458910,148458913,135289391,121432790,121432791,135289393,135289400,121432802,107129453,92783908,78717522,65411794 Dl.O(d2) = 42941126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342583, s2 = 11171606, dlinesl.size( ) = 2 s1 = 11342583, s2 = 11171606, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11342583, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11342627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342627, s2 = 11158740, int(edited[s2]) = 0 s1 = 11342627, s2 = 11158740, d1 = 10, d2 = 12 Dl.O(d1) = 260164742 Dl.O(d2) = 257109538,36778213,256834173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342627, s2 = 11158740, dlinesl.size( ) = 8 s1 = 11342929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8441251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8441251, s2 = 3008016, int(edited[s2]) = 0 s1 = 8441251, s2 = 3008016, d1 = 3, d2 = 5 Dl.O(d1) = 98123577,112084035 Dl.O(d2) = 91224857,77305007,77305008,77305009,91224859,105447289,260229356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8441251, s2 = 3008016, dlinesl.size( ) = 2 s1 = 8441251, s2 = 3008016, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8441251, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 11342979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11343087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11343087, s2 = 10417289, int(edited[s2]) = 0 s1 = 11343087, s2 = 10417289, d1 = 23, d2 = 15 Dl.O(d1) = 145865394,158233226 Dl.O(d2) = 184837075,175276257,164502067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11343087, s2 = 10417289, dlinesl.size( ) = 26 s1 = 11343371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11343643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11343643, s2 = 14083406, int(edited[s2]) = 0 s1 = 11343643, s2 = 14083406, d1 = 10, d2 = 13 Dl.O(d1) = 273226539,264538271,263593133,273134182 Dl.O(d2) = 39205998,255967799,254815159,254375813,1774605,1774604,3046704,1924990,1924991,254345313,1600016,2760143,1985592,1134394,636544,636543,1134391,1774624,1011624,570208,319382,319383,319453,570337,514522,514523,319397,319375,319374,570198,1011611,1134355,1134354,254274671,1134326,636483,353508,193845,105967,105965,193840,353163,636079,1133777,1133788,1775243,1133556,1133555,1631409,1133543,635894,353002,353001,635891,635948,1133590,1984441,1775212,1775213,2906563,1685994,1685993,2851773,1654744,941461,530999,297791,297790,530996,524879,294139,294140,524882,931225,1011892,570376,570375,1011890,1774954,1134367,636521,353529,353530,302649,302650,302655,313309,173296,95334,95333,173290,313299,559545,909797,909796,636292,636293,1134059,1598450,1984954,1133915,636432,636433,959039,883909,540404,540403,353069,193464,105623,105624,193470,353084,635736,254089835,193237,352838,635742,910281,513515,513516,908955,512696,512695,908954,636179,353253,193612,105740,105739,164960,297859,254099899,294142,303539,310286,171604,94427,254079255,97509,254072417,17577,17576,10148,5683,254069537,16669,254071779,83292,151529,273482,486262,861489,1519390,2593710,4333709,2594478,2594479,4334632,6881082,6901968,6912331,254328216,2593065,2593066,4332891,254157402,6902693,6902692,6903576,4335570,4335571,6900338,10467790,10472014,6904776,6904775,10472011,6988282,4391291,2631089,1519270,1496671,1496672,2594730,4334958,4391839,2631486,1519507,1519313,1519312,2631152,4332699,2592921,1495506,1495505,2592916,2594510,1496509,1496506,2593099,1495625,1495623,2593091,4332911,4341467,254327036,254118572,848264,478992,269568,149422,82159,44950,44949,82157,149419,269562,478983,848242,1496960,2592811,2592756,2592757,4332488,254118458,4335357,2595097,1496913,1496912,2595095,4335355,6903402,6903529,6903530,10470634,10469894,10469895,254221606,4334365,4334364,254221264,15179444,21127883,28339989,36836819,32233061,32233060,41025437,47678437,37756193,29194890,29194893,37756200,39244671,37002456,36951756,28451586,21224853,18829448,13415512,9172547,9172546,13415505,15387601,10634144,7019784,7019781,10634129,15387574,20205084,27103988,28600453,37109122,28624463,28624464,37034597,38213352,48123612,44460415,44460371,35085124,27000311,24635425,18179982,12893063,12893064,18179983,24635426,32232972,256861331,28624382,21386713,15403094,15403097,19407438,15403163,10646409,10646408,7724419,7724418,8674487,8674488,7029442,7029444,10646369,15403081,21386688,21386753,28624444,30422141,30422139,31975244,24421735,256057707,40722192,35085190,28665262,21419305,15428670,15428669,21419235,21419320,15428679,15428680,21419323,28665284,21428620,15435764,15435765,21428615,21428624,21428622,28665294,21419330,21419331,28665297,37186321,42247716,37556091,37556090,38839295,43357630,37110592,28601727,28601726,37110591,46995870,37199758,28677002,21428628,21428629,28677005,30256404,30256405,38839871,42573951,37186126,28665051,21419136,15428553,15428554,21419142,28665061,36834257,33268200,33268199,38839881,42474504,33481121,33481122,37556075,37130428,28618678,28618676,32035857,30913871,30913870,30256295,30256292,33268316,25507695,25314774,25314773,33042704,38839762,38839765,37556101,37199721,28676972,21428603,21428604,28676974,30254996,30254995,30255728,22860494,16634134,15433016,15433019,21424906,21424877,21424876,21723219,21723217,29009859,30254781,26380148,26380147,25707427,19080548,13622346,13622344,19080492,16633605,11602952,11602951,16633599,22859290,30254437,30256028,33268397,30913885,23477152,17194746,17194745,21723329,21723330,29009996,30256053,25507700,25507701,19880360,19880359,26701284,28566256,21339140,15365101,15365099,13622604,9328051,9328052,13622608,19080960,22860343,16634030,16634029,22860266,22860156,22860155,28151140,20973053,20973056,28151144,30255201,33480995,25707479,19080534,13622340,9327915,9327913,13622335,13465744,13465745,18897321,22859702,22859722,22859720,21723308,15678433,10854254,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603270,16454562,22169485,16046002,16046005,13622355,13622354,19080569,22860131,22860133,30255341,30256056,22860768,22860770,20973072,254463856,16633777,22860022,19080367,19080368,14101372,9698957,6379018,6379017,9698956,14101371,19671308,26405694,34280478,30885312,25314468,25314469,23348813,23348814,30772111,30885582,255308114,17176371,19671911,14101844,9699291,9699290,14101839,19671902,19671924,19671925,26406331,34281069,33042181,25314315,18737079,18737081,25314321,25314388,25314368,25314367,26405670,19671281,19671280,19880350,26701271,33042450,25314657,25314656,26405050,19670725,14100939,14100938,19670701,26404911,25314682,18737315,18737316,25314687,33042628,41986300,33042468,25314553,18737236,13338822,9113652,9113653,13338824,18737241,18737335,13338864,13338867,18737341,23453693,17176363,12076947,8121047,8121048,12076950,17176310,17176331,23453652,30885520,30885562,23453681,23453679,28561630,26406310,21387727,15403897,15403896,21387721,26405020,237409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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11343643, s2 = 14083406, dlinesl.size( ) = 8 s1 = 11343671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11343671, s2 = 11648164, int(edited[s2]) = 0 s1 = 11343671, s2 = 11648164, d1 = 11, d2 = 8 Dl.O(d1) = 260876202 Dl.O(d2) = 257795510,19634638,14071517,9677305,6364605,3993400,2393186,2393189,3993406,6364615,6305420,3951384,2366157,2366161,2366295,2318090,1344046,1344049,1344222,1344225,1344235,1344237,1344235,1344237,1344235,1344237,1344235,767232,767227,1344187,2317260,1354863,1354859,2337631,2337627,2365414,1369532,1369534,2306575,2306577,3849697,254939763,19198792,15799309,10946967,10946966,15799305,19797712,14180964,9748801,6410207,6410206,9748797,14180956,19797701,26598065,26598061,19792035,14176723,9746012,9746011,14176717,19792014,26598037,34585147,33989068,26148147,19450127,13918837,13918838,19450129,22552876,16375956,16375955,22552872,27227619,23187245,22074809,16122111,15958843,11075863,11075860,12024726,12024725,17111356,23133729,27208369,35333404,35335728,35397656,27271059,20335323,14594153,10042182,6599401,6599403,10042187,14594156,254762958,10509728,15234975,11579120,7707266,4877792,4877794,7707274,11579138,16602439,13173811,13173812,13969988,254466876,22824501,16603835,16603834,22823106,16602798,16602799,22064311,24120548,31133384,30215179,30215178,38799213,47880068,50618860,40575931,37775610,29214049,29214050,22823773,16603298,11579677,11579679,16603300,22049881,15946609,15946611,22049768,22049767,15946562,11963726,8008572,5098244,3094447,3094443,4217127,6730765,254994889,9499707,9499704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11343671, s2 = 11648164, dlinesl.size( ) = 14 s1 = 13996551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11344439, s2 = 11147806, int(edited[s2]) = 0 s1 = 11344439, s2 = 11147806, d1 = 31, d2 = 28 Dl.O(d1) = 260264523 Dl.O(d2) = 258127414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11344439, s2 = 11147806, dlinesl.size( ) = 30 s1 = 11344571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11344571, s2 = 11153496, int(edited[s2]) = 0 s1 = 11344571, s2 = 11153496, d1 = 10, d2 = 9 Dl.O(d1) = 273567346 Dl.O(d2) = 256725099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11344571, s2 = 11153496, dlinesl.size( ) = 6 s1 = 11153495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153495, s2 = 11344572, int(edited[s2]) = 0 s1 = 11153495, s2 = 11344572, d1 = 8, d2 = 11 Dl.O(d1) = 256725098 Dl.O(d2) = 273567347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153495, s2 = 11344572, dlinesl.size( ) = 6 s1 = 11344775, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11344787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11345111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11345129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11345391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345391, s2 = 11203958, int(edited[s2]) = 0 s1 = 11345391, s2 = 11203958, d1 = 17, d2 = 19 Dl.O(d1) = 262482025 Dl.O(d2) = 259797632,67789978,67789977,61675386,50191571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345391, s2 = 11203958, dlinesl.size( ) = 14 s1 = 11345633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345633, s2 = 11058796, int(edited[s2]) = 0 s1 = 11345633, s2 = 11058796, d1 = 46, d2 = 39 Dl.O(d1) = 262485887,181065613,273929057,220695662,223293972,274359816,274117673,177748878 Dl.O(d2) = 260115756,129746957,115847844,257645036,49964743,59428016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345633, s2 = 11058796, dlinesl.size( ) = 36 s1 = 11345781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345781, s2 = 11194972, int(edited[s2]) = 0 s1 = 11345781, s2 = 11194972, d1 = 13, d2 = 11 Dl.O(d1) = 260294599 Dl.O(d2) = 257809283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345781, s2 = 11194972, dlinesl.size( ) = 14 s1 = 11345865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345865, s2 = 11649752, int(edited[s2]) = 0 s1 = 11345865, s2 = 11649752, d1 = 0, d2 = 14 Dl.O(d1) = 120303391,134134100,260329510,134134100,260924288,262021834,262972232 Dl.O(d2) = 215102349,264439444,184727710,262608740,152491783,139771778,126396952,271283356,84608120,257995404,58328884,46961552,37080789,268917351,84608119,259917195,112299860,112299868,109850031,109850030,123988672,137670020,150666610,162761519,173761905,183531405,184727699,175150784,262168221,262168223,263094433,193090184,200267011,193090188,263012394,183531405,184727699,175150784,175150785,183531403,183531404,263012392,175150795,273528169,264117084,200267012,263787126,184727708,175150794,272769094,150666608,137670019,137670017,150666607,162761517,173761899,263094433,193090184,200267011,200267012,263787126,184727708,175150794,272769094,139771776,126396951,259917193,98532620,112526947,261097175,262168225,175150788,184727703,263012394,183531405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345865, s2 = 11649752, dlinesl.size( ) = 8 s1 = 11346171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346171, s2 = 13028713, int(edited[s2]) = 0 s1 = 11346171, s2 = 13028713, d1 = 13, d2 = 14 Dl.O(d1) = 263367423 Dl.O(d2) = 264303385,195493457,273396630,178262551,187475956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346171, s2 = 13028713, dlinesl.size( ) = 14 s1 = 11346483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346483, s2 = 11050568, int(edited[s2]) = 0 s1 = 11346483, s2 = 11050568, d1 = 6, d2 = 13 Dl.O(d1) = 134837719 Dl.O(d2) = 65156561,53171802,42722133,42722132,48477302,48477303,59869035,54687415,43945014,34670836,26677544,19859952,14228556,14228555,254403242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346483, s2 = 11050568, dlinesl.size( ) = 14 s1 = 13664344, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11346541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346541, s2 = 11631156, int(edited[s2]) = 0 s1 = 11346541, s2 = 11631156, d1 = 17, d2 = 27 Dl.O(d1) = 263371957,197842215 Dl.O(d2) = 274539401,274973131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346541, s2 = 11631156, dlinesl.size( ) = 30 s1 = 11346649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11346817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346817, s2 = 10871827, int(edited[s2]) = 0 s1 = 11346817, s2 = 10871827, d1 = 1, d2 = 1 Dl.O(d1) = 135005851,135005836,121193921,106924582,92604368,92604370,106924592,121193940,135005875,148132054,160378664,171583910,171583937,181581933,190358290,190358265,190358267,197935481,204391157,209774602,214188383,217813066,217813059,214188372,209774583,209774582,209774461,209774455,209774456,209774466,204391023,197935348,190358136,181581772,171583782,171583781,181581769,190358091,181581741,171583758,171583759,181581745,190358095,190358190,273801027 Dl.O(d2) = 135005851,135005836,121193921,106924582,92604368,92604370,106924592,121193940,135005875,148132054,160378664,171583910,171583937,181581933,190358290,190358265,190358267,197935481,204391157,209774602,214188383,217813066,217813059,214188372,209774583,209774582,209774461,209774455,209774456,209774466,204391023,197935348,190358136,181581772,171583782,171583781,181581769,190358091,181581741,171583758,171583759,181581745,190358095,190358190,273801027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346817, s2 = 10871827, dlinesl.size( ) = 2 s1 = 11346817, s2 = 10871827, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11346817, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10871826, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15624554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8446013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13665340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347583, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11347585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11347585, s2 = 11180720, int(edited[s2]) = 0 s1 = 11347585, s2 = 11180720, d1 = 10, d2 = 12 Dl.O(d1) = 261512266 Dl.O(d2) = 257854980,13994512,255301979,256015481,17496903,12336898,8334301,5379067,5379068,8334304,268111685,23836430,31327682,31256117,31256118,38129044,38129043,48042177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11347585, s2 = 11180720, dlinesl.size( ) = 14 s1 = 11347691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11347959, s2 = 970223, int(edited[s2]) = 0 s1 = 11347959, s2 = 970223, d1 = 21, d2 = 25 Dl.O(d1) = 136277195,260403615 Dl.O(d2) = 27045821,27045823,27045822,24492187,24492188,18073029,18073030,12812879,8711599,5670947,3527477,2099412,2099416,3527493,5670996,8711696,12813021,18073372,12841585,8732680,5685265,3536630,2105128,2105127,3536626,5685255,8732657,12841554,18109901,24544368,32122523,269027907,62661965,75604998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11347959, s2 = 970223, dlinesl.size( ) = 14 s1 = 11348055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348055, s2 = 7023631, int(edited[s2]) = 0 s1 = 11348055, s2 = 7023631, d1 = 20, d2 = 22 Dl.O(d1) = 260935948 Dl.O(d2) = 261503496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348055, s2 = 7023631, dlinesl.size( ) = 14 s1 = 11348291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348291, s2 = 11115730, int(edited[s2]) = 0 s1 = 11348291, s2 = 11115730, d1 = 3, d2 = 2 Dl.O(d1) = 136742381 Dl.O(d2) = 86695993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348291, s2 = 11115730, dlinesl.size( ) = 2 s1 = 11348291, s2 = 11115730, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11348291, Dl.E( ) = 16, 1.19e-05 seconds used appending s1 = 11348443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348443, s2 = 11457288, int(edited[s2]) = 0 s1 = 11348443, s2 = 11457288, d1 = 0, d2 = 4 Dl.O(d1) = 149914921 Dl.O(d2) = 173226260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348443, s2 = 11457288, dlinesl.size( ) = 12 s1 = 11348469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348469, s2 = 6771339, int(edited[s2]) = 0 s1 = 11348469, s2 = 6771339, d1 = 36, d2 = 54 Dl.O(d1) = 268528028,9774595,6426944,4032184,4032185 Dl.O(d2) = 258268205,50145166,50145165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348469, s2 = 6771339, dlinesl.size( ) = 8 s1 = 11348577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348577, s2 = 11432116, int(edited[s2]) = 0 s1 = 11348577, s2 = 11432116, d1 = 0, d2 = 4 Dl.O(d1) = 149963941 Dl.O(d2) = 173265231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348577, s2 = 11432116, dlinesl.size( ) = 16 s1 = 11348697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348697, s2 = 11540174, int(edited[s2]) = 0 s1 = 11348697, s2 = 11540174, d1 = 9, d2 = 7 Dl.O(d1) = 149994269,262566803 Dl.O(d2) = 265134339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348697, s2 = 11540174, dlinesl.size( ) = 14 s1 = 11348785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348785, s2 = 11387926, int(edited[s2]) = 0 s1 = 11348785, s2 = 11387926, d1 = 6, d2 = 12 Dl.O(d1) = 137246024 Dl.O(d2) = 109324592,95069488,256735684,44345423,41160021,32345408,24729819,24729820,32345410,41160024,257730271,76008680,261377409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348785, s2 = 11387926, dlinesl.size( ) = 8 s1 = 11348799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348799, s2 = 13062081, int(edited[s2]) = 0 s1 = 11348799, s2 = 13062081, d1 = 40, d2 = 57 Dl.O(d1) = 262569749 Dl.O(d2) = 90872140,258258526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348799, s2 = 13062081, dlinesl.size( ) = 64 s1 = 11348951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348951, s2 = 11467000, int(edited[s2]) = 0 s1 = 11348951, s2 = 11467000, d1 = 20, d2 = 25 Dl.O(d1) = 264125519,205345770 Dl.O(d2) = 191681352,183072720,262561955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348951, s2 = 11467000, dlinesl.size( ) = 14 s1 = 11349281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11349281, s2 = 11407866, int(edited[s2]) = 0 s1 = 11349281, s2 = 11407866, d1 = 3, d2 = 13 Dl.O(d1) = 150402735 Dl.O(d2) = 183362183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11349281, s2 = 11407866, dlinesl.size( ) = 14 s1 = 11349733, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11349837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11349837, s2 = 14275809, int(edited[s2]) = 0 s1 = 11349837, s2 = 14275809, d1 = 18, d2 = 21 Dl.O(d1) = 259618018,268831492,32280092,255619441 Dl.O(d2) = 51265112,49872271,49872272,61353979,256003044,37392071,37392070,38593266,39949220,31274357,31274356,31274462,31274463,258254067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11349837, s2 = 14275809, dlinesl.size( ) = 14 s1 = 4714402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4714402, s2 = 12835385, int(edited[s2]) = 0 s1 = 4714402, s2 = 12835385, d1 = 27, d2 = 15 Dl.O(d1) = 192036667,183486244,173706128,173706129,183486245,183486240 Dl.O(d2) = 44750820,47925708,59318717,52456444,42104129,42103624,254972388,25409015,25409172,31547531,24044064,17691841,256537931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4714402, s2 = 12835385, dlinesl.size( ) = 18 s1 = 13668370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11350073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11350073, s2 = 11663549, int(edited[s2]) = 0 s1 = 11350073, s2 = 11663549, d1 = 18, d2 = 2 Dl.O(d1) = 262098763,263040491,192055742,199409560,205631923 Dl.O(d2) = 205631922,263629130,199948790,205631919,210779630,263629130,192707354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11350073, s2 = 11663549, dlinesl.size( ) = 12 s1 = 11350151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11350151, s2 = 14924196, int(edited[s2]) = 0 s1 = 11350151, s2 = 14924196, d1 = 10, d2 = 13 Dl.O(d1) = 269939752,25037082,18503422,13146074,255240187 Dl.O(d2) = 4865793,2932017,1700504,1700503,1710095,1295423,1295422,2233866,2933409,4867999,4862232,2929942,2929944,4862240,2935085,2931339,1700151,966559,966561,1700157,2931355,2931437,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895042,2895044,4803265,4802891,4802890,4901388,4901387,7740787,7689528,7689527,7726414,7726401,6814812,6814813,9144336,5984010,5984008,9144330,13378692,13896656,16411994,11427727,11427665,11427666,11427739,7596595,4805287,2896126,1680589,955927,955926,1680585,2896103,4805248,7596547,11427648,11427657,7596551,255481185,16640885,254799335,7728555,9853722,6472632,4056213,4056212,3730427,3730426,5965490,6542954,4099175,4099176,6542956,9955272,255333325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11350151, s2 = 14924196, dlinesl.size( ) = 14 s1 = 14223428, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14223428, s2 = 3057097, int(edited[s2]) = 0 s1 = 14223428, s2 = 3057097, d1 = 39, d2 = 64 Dl.O(d1) = 266198970 Dl.O(d2) = 14284177,19945697,26804708,257298503,255779100,58437490,49625131,39639040,30986585,30986586,39639004,44319748,34946543,34946539,41718823,34877621,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423268,2423271,4040888,2421045,2421042,4040874,6442651,9801456,14260939,19908540,26749108,34778107,44105872,50632647,40586552,40586551,50632646,62137148,61132324,61132323,55171790,44323815,44323813,44272850,34908572,26842920,26817638,19954057,14288810,14288814,9830771,6457976,4047985,2423372,2423369,4047983,2423384,2423380,4046332,2422902,2422899,4046361,6449339,6449336,9815059,14285197,19740547,19740549,19915110,19915107,26760438,34795154,44129224,54944860,67270575,73892858,67426273,55091684,55091681,67426264,80894771,94957315,93633544,93633543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14223428, s2 = 3057097, dlinesl.size( ) = 12 s1 = 14074505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074505, s2 = 2880201, int(edited[s2]) = 0 s1 = 14074505, s2 = 2880201, d1 = 15, d2 = 13 Dl.O(d1) = 71828775,85416637,99359607,113361331,127219715,140565388,262687869,185305055,193601874,200712414,264487721,215718415,219068917,220576546,217504791,263459412,263055772,203859785,203859782,197303326,189616639,189616640,197303328,203859784,203859766,203859765,197303311,189616619,180720378,180720377,189616616,197303304,189616610,189616609,180720411,170590768,170590767,261046202,170590769,180720413,180720376,170590745,159255081,146883847,146883848,159255083,170590750,180720383,189616624,197303318,197303313,189616620,180720396,180720397,189616640,197303328,203859784,203859766,203859765,197303311,189616619,180720378,170590746,159255082,159255083,170590750,180720375,170590744,159255081,146883847,146883848,159255083,170590750,180720375,180720374,170590747,159255082,159255083,170590749,180720379,170590747,159255082,159255083,170590750,180720383,189616624,197303318,197303313,197303312,197303311,189616619,180720378,180720377,189616616,197303304,189616610,189616609,180720411,170590768,170590767,261046202,170590769,180720413,180720376,170590745,159255081,146883847,133630556,257995908,91309022,77390060,64239230,52383139,42039159,33091145,25358064,25358063,33091144,29316540,21988246,21988245,17478092,12322892,8323772,5371380,3302203,3302204,5371382,8323778,12322899,17478096,23811996,31297879,39971993,48848154,38927984,30341728,256451337,48848153,60241855,72978096,270069411,53835464,53835465,60120849,48725865,38805157,38805158,48339834,38436203,29877354,22520577,16347369,16347368,22520575,29877350,256955615,257860251,43310895,34212670,26338950,19610440,14052159,9662555,6353955,3986699,3986700,6353957,9662558,9665048,6355528,254311041,1383388,1383387,2389873,3925119,3925118,6269025,9554068,6355274,3987456,2389786,1383344,1383343,2389785,3986956,3986954,6354420,9553682,9553683,9663369,14053309,19611743,14055559,9665041,9665042,14055563,16678402,11641786,7755918,7755919,11641788,16678403,22910957,21512309,15502462,10720812,7082811,7082808,10720807,7082826,4459267,4459268,7082829,4459275,4459274,7082841,10720866,15502565,14051153,9661857,6353543,6353544,9661864,14051161,19609181,23437951,30866658,28774255,28774256,30866654,30866655,30695930,23280588,17021757,17021759,23280599,30695939,25357715,18775309,13370978,13370979,18775310,25357717,33090761,42038790,50060008,61538338,74314953,79264632,257536676,47693889,37772594,37772593,29210843,21896821,21896742,15818300,15818301,21896744,29210747,37772596,47693879,258096243,47693912,37772626,29210784,21896774,15818315,15818314,21896772,21896787,21896786,29210797,37772559,37772561,39312560,47693817,37772517,37772516,47693818,37772521,29210673,21896677,21896675,21896764,15818310,10962266,10962267,15818312,21896768,29210776,30714582,23297632,17037532,11951376,8000191,8000192,11951378,268243639 Dl.O(d2) = 29210797,37772559,37772561,39312560,47693817,37772517,37772516,47693818,37772521,29210673,21896677,15818260,10962240,7256210,4576365,4576364,7256207,10962238,15818254,15818283,21896708,29210703,21896704,15818280,15818279,21896702,21896752,21896751,29210755,37772577,37772485,29210633,29210634,29210656,37772509,37772550,39312559,30714579,23297631,17037531,11951375,8000191,8000192,11951377,17037536,23297636,30714587,37772495,37772494,37772639,29210794,29210793,37772638,38267162,29701007,22346860,16197091,16197092,22346864,29701008,29701079,22346897,16197108,16197109,22346899,29701084,38267258,48176889,59563536,59563470,55224570,55224569,67567563,81036143,72430944,59695292,48308371,38397646,29825272,22457892,16289935,11333296,7531000,7531002,11333300,16290015,22457984,29825379,38397650,38397649,48308373,59695293,72430945,86028634,99990259,114016001,127896137,141256684,153928580,272422538,185809465,194043475,199269689,191899354,183331362,173531233,162494210,162494209,150361476,261122470,109397744,95143773,81086316,67620620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074505, s2 = 2880201, dlinesl.size( ) = 2 s1 = 14074505, s2 = 2880201, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14074505, Dl.E( ) = 16, 1.72e-05 seconds used appending s1 = 6999935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6999935, s2 = 10252227, int(edited[s2]) = 0 s1 = 6999935, s2 = 10252227, d1 = 11, d2 = 23 Dl.O(d1) = 261172769,153696639 Dl.O(d2) = 263822606,185615208,263055930,193871629,200949874,193871623,263459602,193871628,193871627,263822606,272874016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6999935, s2 = 10252227, dlinesl.size( ) = 22 s1 = 11350937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11350937, s2 = 11563044, int(edited[s2]) = 0 s1 = 11350937, s2 = 11563044, d1 = 24, d2 = 1 Dl.O(d1) = 263826129,205882667,210982115,215149471,265153923,223945559,226088660,227954979,274615114,223945553,221470369 Dl.O(d2) = 215149471,274260743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11350937, s2 = 11563044, dlinesl.size( ) = 26 s1 = 11351243, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10824258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10824258, s2 = 6925285, int(edited[s2]) = 0 s1 = 10824258, s2 = 6925285, d1 = 65, d2 = 32 Dl.O(d1) = 33144776,42098935,47867576,52463855,255253634,33156760,34660960,33302285,33302286,42283252,47842475,37922425,29355763,29355762,26969864,20084204,20084205,20084024,20084023,26969555,35050846,35050337,30640122,23216879,18740932,13341269,9115146,5963827,5963825,9115140,13341255,18740902,25319209,19130790,19130791,25770764,33560182,42576872,53017071,64992144,78265710,92292854,106591200,120839548,262000099,147767152,273246787,171266896,181303207,264157624,181302837,171266540,262137146,147766837,134636300,120839105,106590622,92292257,78265100,64991525,53016443,42576287,33559647,25770286,19243760,13814352,13814351,10255716,10255715,14915178,20811020,17300955,17300956,21629389,15598414,15598412,21629386,27222566,20294176,18540008,18540006,19483942,26193029,30584453,23166505,20292531,14561648,10020123,7659898,4846423,2920395,1694032,963287,963285,1694022,2920378,4846386,7659794,11514942 Dl.O(d2) = 260154580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10824258, s2 = 6925285, dlinesl.size( ) = 2 s1 = 10824258, s2 = 6925285, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 10824258, Dl.E( ) = 70, 2.41e-05 seconds used appending s1 = 11351461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351461, s2 = 14999280, int(edited[s2]) = 0 s1 = 11351461, s2 = 14999280, d1 = 12, d2 = 16 Dl.O(d1) = 151752739,163627943,151752741,151752737,151752738,139050709,257402756,97956411 Dl.O(d2) = 273087398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351461, s2 = 14999280, dlinesl.size( ) = 32 s1 = 11921274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351523, s2 = 11142948, int(edited[s2]) = 0 s1 = 11351523, s2 = 11142948, d1 = 69, d2 = 68 Dl.O(d1) = 261066430,174472207 Dl.O(d2) = 126390568,269782282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351523, s2 = 11142948, dlinesl.size( ) = 62 s1 = 14203556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351569, s2 = 11218802, int(edited[s2]) = 0 s1 = 11351569, s2 = 11218802, d1 = 4, d2 = 6 Dl.O(d1) = 139069503 Dl.O(d2) = 259446194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351569, s2 = 11218802, dlinesl.size( ) = 8 s1 = 11351613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351613, s2 = 11503858, int(edited[s2]) = 0 s1 = 11351613, s2 = 11503858, d1 = 36, d2 = 31 Dl.O(d1) = 262141209,174497415 Dl.O(d2) = 265384950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351613, s2 = 11503858, dlinesl.size( ) = 42 s1 = 11352137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352137, s2 = 11199272, int(edited[s2]) = 0 s1 = 11352137, s2 = 11199272, d1 = 14, d2 = 18 Dl.O(d1) = 259896844 Dl.O(d2) = 260315390,259071068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352137, s2 = 11199272, dlinesl.size( ) = 20 s1 = 16147745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16147745, s2 = 2849443, int(edited[s2]) = 0 s1 = 16147745, s2 = 2849443, d1 = 67, d2 = 54 Dl.O(d1) = 243529611,243794306,244040118,244268509,244480864,244679274,244864448,245039046 Dl.O(d2) = 10960345,15815692,21893470,29206871,37768403,47689728,59088495,71828771,258719607,59088491,59088492,71828771,269799789,59088493,71828773,71828774,258719609,99359602,85416635,71828772,71828773,85416636,99359605,99992375,86030717,72433009,59697369,48310396,38399705,255915171,16292139,11335238,7532526,4764947,4764948,2872448,1667080,948252,948251,1667078,2872446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16147745, s2 = 2849443, dlinesl.size( ) = 2 s1 = 16147745, s2 = 2849443, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16147745, Dl.E( ) = 70, 2.38e-05 seconds used appending s1 = 11352213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352213, s2 = 11129532, int(edited[s2]) = 0 s1 = 11352213, s2 = 11129532, d1 = 20, d2 = 3 Dl.O(d1) = 260500858,261417266 Dl.O(d2) = 67192539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352213, s2 = 11129532, dlinesl.size( ) = 14 s1 = 11352251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352251, s2 = 10602681, int(edited[s2]) = 0 s1 = 11352251, s2 = 10602681, d1 = 12, d2 = 16 Dl.O(d1) = 270312460 Dl.O(d2) = 46756243,46756244,257487674,84396754,255973234,37931186,37931187,37931202,268937657,29364907,22034429,15933038,11056052,11056051,255444685,23224877,268970418,37137571,37137570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352251, s2 = 10602681, dlinesl.size( ) = 18 s1 = 13670752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13670752, s2 = 13338274, int(edited[s2]) = 0 s1 = 13670752, s2 = 13338274, d1 = 64, d2 = 79 Dl.O(d1) = 113112364,126971103,140326145,153024850,152281268,139550353,126175038,126175039,139550355,140326132,126971088,126971087,140326130,153024838,146970072 Dl.O(d2) = 59876234,256620558,30000379,30000380,38571123,48484490,256031072,33182194,25437247,18841282,18841283,25437251,255644350,52060489,256620592,257578232,63878864,52060437,52060436,48483996,38570507,29999783,22630451,16443719,11457095,11457099,16443734,22630487,29999853,38570611,48483689,48878227,47375205,47375208,38570633,29999870,29999324,29999325,38570037,48483668,50579503,58762719,47375217,37468425,37468426,47375218,48483674,48484046,48484045,48689731,38767896,30184236,22794475,16577884,11558531,7691855,4867537,2933075,2933079,4821658,7620690,11457084,11457467,16444425,22631455,30000162,29998745,22630953,16444042,16444040,22629825,16443300,11457350,7620812,7620813,11457354,16444197,11457339,11457298,7620787,7620786,11457295,11457272,7620775,7620774,11457266,16444056,22630974,30000464,30184290,23600991,23600990,23600992,17288405,12167370,12167371,16443237,11456826,11456824,16443199,22629643,29998790,29998815,22629662,16443367,11456894,7620607,7620609,11456902,16443383,22629953,29999053,29999055,29999160,22630547,16443765,16443763,22630539,26574811,19772802,14162808,14162807,19772797,19772832,22631292,22631293,16444311,16444310,16443403,16443402,11456918,11456919,16443427,14162846,14162849,16443810,11457397,11457398,16444293,22631273,25826857,22630600,22630602,22629673,16443214,16443215,16443229,22629697,29998858,38569645,34561274,34561275,43834166,256428838,34561744,33064451,26574882,19772868,19772870,26574890,34561602,26574899,26574898,28490103,21273764,255822035,31845244,24325492,17937610,12709997,12709998,17937615,24325503,27234303,23855853,17512550,17512552,19201879,14547654,14547656,20275621,14896682,14896681,20784561,14896698,10243048,10243047,10575554,10575553,14519930,9990977,9990976,14519925,20234621,19120265,19120264,20234639,19772659,19772660,26423310,25106795,18557488,18557489,19772707,14162746,9736948,6403011,4017336,2407323,1392916,1392915,2407319,4017327,6402985,9736906,14162674,19772604,22331175,16184803,254503708,7468098,11250247,16184802,22331173,29008049,37553884,47461323,38936972,30351094,22949389,16712571,16712572,22949391,30351096,30586326,39184042,48156875,38247659,29682742,29682743,38247661,39184032,49113274,39184052,30586331,23168235,23168234,30586328,39184046,38659594,30082328,30082329,26323601,26323602,34196140,43293739,53818828,65886736,64711464,52797778,48584512,256175888,25642134,25642133,33408871,42398038,44758829,36603685,28129820,28129819,36603684,46470427,47455651,37547650,29001907,29001908,37547653,29001909,256138790,44758831,44758830,44758828,35330834,27205524,20277591,14549251,10011059,6579799,6579800,10011064,14549245,10011056,10011057,14549247,20277584,27205512,25734775,25734774,27205564,27205505,27205506,256762233,35330821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13670752, s2 = 13338274, dlinesl.size( ) = 2 s1 = 13670752, s2 = 13338274, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13670752, Dl.E( ) = 80, 3.79e-05 seconds used appending s1 = 11352379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352379, s2 = 10404837, int(edited[s2]) = 0 s1 = 11352379, s2 = 10404837, d1 = 4, d2 = 8 Dl.O(d1) = 272363862,174984007 Dl.O(d2) = 178112305,262913562,262913560,178112308,178112306,184586238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13670796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11352457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11352503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352503, s2 = 11567570, int(edited[s2]) = 0 s1 = 11352503, s2 = 11567570, d1 = 30, d2 = 0 Dl.O(d1) = 274265121 Dl.O(d2) = 238275487,266753328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352503, s2 = 11567570, dlinesl.size( ) = 48 s1 = 11352681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352681, s2 = 4542784, int(edited[s2]) = 0 s1 = 11352681, s2 = 4542784, d1 = 90, d2 = 8 Dl.O(d1) = 262159205,175037149 Dl.O(d2) = 189867599,180989621,263353709,173344877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352681, s2 = 4542784, dlinesl.size( ) = 2 s1 = 11352681, s2 = 4542784, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11352681, Dl.E( ) = 94, 2e-05 seconds used appending s1 = 15127407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13671354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11353299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353299, s2 = 11538948, int(edited[s2]) = 0 s1 = 11353299, s2 = 11538948, d1 = 28, d2 = 30 Dl.O(d1) = 262653039,184745674,263854651 Dl.O(d2) = 265364515,221689474,265069225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353299, s2 = 11538948, dlinesl.size( ) = 32 s1 = 8572138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8572138, s2 = 14115055, int(edited[s2]) = 0 s1 = 8572138, s2 = 14115055, d1 = 8, d2 = 10 Dl.O(d1) = 257816285,78245851,261465273,160007831,262654225,164406033,152543830 Dl.O(d2) = 271769790,258674132,71107222,256860456,28619743,255830126,256320536,28619743,255032684,15400182,10644057,7027582,4420629,4420628,255032853,268383019,43036960,33979726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8572138, s2 = 14115055, dlinesl.size( ) = 6 s1 = 11353975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353975, s2 = 11427948, int(edited[s2]) = 0 s1 = 11353975, s2 = 11427948, d1 = 12, d2 = 20 Dl.O(d1) = 259648124 Dl.O(d2) = 262464474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353975, s2 = 11427948, dlinesl.size( ) = 22 s1 = 11353983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353983, s2 = 11087180, int(edited[s2]) = 0 s1 = 11353983, s2 = 11087180, d1 = 18, d2 = 16 Dl.O(d1) = 260534093 Dl.O(d2) = 255406939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353983, s2 = 11087180, dlinesl.size( ) = 2 s1 = 11353983, s2 = 11087180, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11353983, Dl.E( ) = 34, 1.69e-05 seconds used appending s1 = 11354087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354087, s2 = 11338878, int(edited[s2]) = 0 s1 = 11354087, s2 = 11338878, d1 = 11, d2 = 25 Dl.O(d1) = 262182401 Dl.O(d2) = 274081011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354087, s2 = 11338878, dlinesl.size( ) = 28 s1 = 11354187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354187, s2 = 11316628, int(edited[s2]) = 0 s1 = 11354187, s2 = 11316628, d1 = 3, d2 = 20 Dl.O(d1) = 152747145,263107173 Dl.O(d2) = 259623131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354187, s2 = 11316628, dlinesl.size( ) = 30 s1 = 8476009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11354339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354339, s2 = 11242378, int(edited[s2]) = 0 s1 = 11354339, s2 = 11242378, d1 = 4, d2 = 6 Dl.O(d1) = 140107085 Dl.O(d2) = 259931092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354339, s2 = 11242378, dlinesl.size( ) = 8 s1 = 11354803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354803, s2 = 7284694, int(edited[s2]) = 0 s1 = 11354803, s2 = 7284694, d1 = 1, d2 = 14 Dl.O(d1) = 152910061 Dl.O(d2) = 264971279,218735228,221599216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354803, s2 = 7284694, dlinesl.size( ) = 14 s1 = 11354839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8718695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8718695, s2 = 8378044, int(edited[s2]) = 0 s1 = 8718695, s2 = 8378044, d1 = 30, d2 = 27 Dl.O(d1) = 270872486,72219429,85813359,99767024,85813305,259375321,101789084,87816534,87816535,85813303,84967787,71393034,58657996,47266292,37356483,28817024,21548093,21548092,28817021,256877679,58657987,71393020,84967762,87816623,101789180,112881412,98893573,84967782,84967781,98893568,98893532,84967747,84967748,98893534,112881386,126733528,127648624,113780837,113780839,127648626,126733554,126733555,140081808,152772562,164606902,164606903,164606935,152772571,140081820,126733565,112881406,112881404,112881399,98893542,84967754,84967753,98893539,112881392,260593133,113780853,127648647,140996577,153662653,152772580,152772581,164606947,263004161,161819083,172987136,182889086,262298662,152772574,140081822,140081823,152772576,164606940,262711976,153662706,140996555,127648634,127648633,140996550,153662698,262711985,185589324,191536668,191536670,191536671,193848405,185589355,185589354,193848402,193848500,193848414,185589366,185589365,193848412,200928550,200928635,200928440,200928441,198968563,191536580,191536579,198968558,200928529,200410149,193848484,185589406,176124948,176124949,185589410,193848488,200928623,200928447,193848314,185589285,176124863,165443003,261718051,127648615,113780824,113780823,127648613,140996536,153662683,165442998,176124816,185589233,185589351,185589348,264217035,264257620 Dl.O(d2) = 98132870,84238101,258022970,98132894,98132896,258988476,61552128,61552129,74328559,81181360,84238297,83941224,83941223,97800480,97800518,111722971,99020750,99020749,109589018,95334056,83941703,83941704,83942380,83942381,97801660,111723889,109588543,259410684,81274588,95333545,83939313,83939312,257559978,70413781,83939572,258792610,87739893,86680038,73075445,60335039,48937254,48937253,60335037,259435625,99020726,99960269,86001627,72405474,59670151,59670150,72405473,86001625,97801254,258768818,94743151,256955388,54871059,44070718,34754022,31058992,23575440,23575439,31058988,39737109,49755886,61234851,74015341,70493611,57792989,57792990,70493615,57792994,49215394,39288737,30691530,30691529,39288733,46369966,255936072,70414548,83941199,97800464,111722922,125529681,126837287,112982955,112982954,126837284,129067471,115138830,101063834,87068277,73450868,60702684,60702679,73450853,87068268,101063824,100652860,258811580,60335028,60335029,73075432,84238277,258647540,260278260,97798345,93234676,93234677,97798668,83939562,70413387,57719175,57719174,70413383,83939556,81275147,67807565,67807566,260472079,111721930,97799242,83940069,70413742,70413741,83940064,73450812,60702654,49301049,49301046,49301040,49300997,49300995,60702565,55465813,55465810,67807439,81274967,95334008,109588983,98132909,98132907,98133144,84238310,70685632,70685630,61352115,61352116,74133983,87739906,259416814,100652882,113008928,113008929,114698091,114697151,100651724,86678919,86678918,258988528,73075437,269362638,48937249,60335029,258811587,270487032,61351989,55465871,55465872,67807548,81275122,95334216,109589167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8718695, s2 = 8378044, dlinesl.size( ) = 8 s1 = 11354911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354911, s2 = 11234388, int(edited[s2]) = 0 s1 = 11354911, s2 = 11234388, d1 = 17, d2 = 1 Dl.O(d1) = 262676339 Dl.O(d2) = 99494126,85547354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354911, s2 = 11234388, dlinesl.size( ) = 26 s1 = 13673642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11355071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11355071, s2 = 958243, int(edited[s2]) = 0 s1 = 11355071, s2 = 958243, d1 = 42, d2 = 72 Dl.O(d1) = 259781766 Dl.O(d2) = 31732545,31732546,40426414,31732390,24224000,24224001,24224116,31732546,40426413,31732390,24224003,24224002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11355071, s2 = 958243, dlinesl.size( ) = 30 s1 = 11355483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11355483, s2 = 11057378, int(edited[s2]) = 0 s1 = 11355483, s2 = 11057378, d1 = 19, d2 = 17 Dl.O(d1) = 257484430,71817679 Dl.O(d2) = 48317316,255060226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11355483, s2 = 11057378, dlinesl.size( ) = 36 s1 = 11355869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11355869, s2 = 10390929, int(edited[s2]) = 0 s1 = 11355869, s2 = 10390929, d1 = 9, d2 = 7 Dl.O(d1) = 259400280 Dl.O(d2) = 256961634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11355869, s2 = 10390929, dlinesl.size( ) = 16 s1 = 11356161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356161, s2 = 14057780, int(edited[s2]) = 0 s1 = 11356161, s2 = 14057780, d1 = 23, d2 = 61 Dl.O(d1) = 140757971,274441984,266511277,274976029 Dl.O(d2) = 222758586,225083275,227103242,225083268,265408142,220055145,222758580,222758590,222758591,222758579,222758578,265579868,222758586,225083275,227103242,225083268,265408142,220055145,222758580,265579870,222758589,225083278,265735650,222758592,265615995,228866249,230419151,231799330,231799331,233040058,234161991,266342244,228866248,227103245,225083277,225083276,225083266,222758579,220055144,265012070,212994904,212994908,264836863,220055148,222758585,225083264,222758577,220055144,265012070,208272731,208272732,212994905,265060975,274022933,195730850,187767642,187767643,195730852,195730854,202546299,208272736,264836865,220055150,216855218,216855220,220055154,222758591,222758579,220055144,265012070,212994904,212994908,264529274,187767642,178633387,262757314,117381510,259430330,58112671,46742785,36861285,36861286,41726625,41726623,255949688,258182788,255872697,21926204,29246378,21926203,268079785,267887555,2756525,1597957,908409,908408,1597954,2756517,4019749,4019750,6407288,9744113,14173845,14173817,9744100,9744099,9744747,9747260,7440674,6412217,4022598,4022596,6412211,9752196,14186246,11214153,7440824,4701567,4701566,4767882,6407334,9744183,9749723,14182445,16629113,14594229,10042234,10042235,11213709,7440561,7440562,7440687,7440685,9751939,6412071,4022525,2410185,1394530,1394529,2178977,1394448,1394450,1393703,792629,792632,1393713,2408508,4019335,6406571,6409322,6408539,4020468,2409157,1394054,1394055,1394150,2409374,4020930,6409257,9747194,14178527,19794383,26600554,26608107,19800610,14183017,14183016,12281205,8294172,5350879,5350881,8294173,8804777,8804776,12941959,255440812,20298513,20298516,16920694,11842024,11842023,16920690,18927963,18927966,25540431,27271243,26608351,26608348,26608697,26608390,19800822,14183145,9750179,6411010,4021937,4021935,6411004,9750163,10964959,10964961,15822449,14185321,9751568,9751572,14185334,14553854,12567105,8522159,8522161,8294540,8294519,5351039,5351040,8294527,12281841,17425255,23750948,26597885,22036898,22036897,17425846,12282228,8522273,5521049,5521047,8522268,12567300,17759769,24121106,30621173,39218324,44761522,39911211,31235638,23752510,23752509,31235636,39911209,49929807,42692997,33662406,25856497,25856498,33160027,31235634,23752507,21902097,15822363,10964908,10964909,15822367,21902103,29216389,37777390,39428751,37924879,37924880,32313225,31627971,26590766,26590765,34578161,40314097,37356704,28817210,28817208,37356697,256919686,60091045,55671366,44761728,35334844,27210285,27210284,32156076,29816102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356161, s2 = 14057780, dlinesl.size( ) = 48 s1 = 11356401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356401, s2 = 11058250, int(edited[s2]) = 0 s1 = 11356401, s2 = 11058250, d1 = 47, d2 = 4 Dl.O(d1) = 262702431,140834358,127475918,113601367,99585908,270834944,59312798 Dl.O(d2) = 15995693,11104320,7364146,254522946,1625392,2802017,4651691,254764753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356401, s2 = 11058250, dlinesl.size( ) = 72 s1 = 11356431, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11356539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11356585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11356831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356831, s2 = 5389037, int(edited[s2]) = 0 s1 = 11356831, s2 = 5389037, d1 = 31, d2 = 37 Dl.O(d1) = 140959255,140959256,263146277,193808380,200891530,206869672,211809058,215843874,219180819,221997742,265561579,224416977,224416961,221997722,219180805,215843865,211809051,206869671,206869672 Dl.O(d2) = 217053100,213251492,213251491,217053099,220211237,221997725,219180807,215843866,215843867,265388041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356831, s2 = 5389037, dlinesl.size( ) = 42 s1 = 11356973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356973, s2 = 16380422, int(edited[s2]) = 0 s1 = 11356973, s2 = 16380422, d1 = 27, d2 = 30 Dl.O(d1) = 263148559 Dl.O(d2) = 254962425,6408202,4020304,2409061,1394000,1393946,792746,448955,448958,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041868,10041820,10041821,10041634,6599098,6408842,6408841,9746583,14177595,255725157,19785891,26591040,26592633,19787428,14173355,9743779,9743777,14173349,14172987,9743515,6406908,6406902,6407396,5351329,3288877,3288881,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12281613,8294402,5350988,5350985,8294390,12281593,17424900,21901439,15821911,15821878,12567120,12567119,10014139,6581746,4123682,2466989,2466988,4123679,6581742,10014125,8522117,5520975,3407816,3407817,5520978,254868407,17759369,22824738,22824739,20282892,20282891,27211137,27209154,23750321,17424735,12281503,12281505,14936724,14936726,20835466,22821225,16601353,16601350,11732967,7833506,4972507,4972504,7833498,11732949,8742137,8742139,9745972,14176641,17425521,17425519,17154859,12058273,12058272,17154853,23431424,30709383,27212094,27212095,20283745,20283742,27212097,35336396,30861688,30861689,31627020,26215819,26215818,27157971,27157970,22049303,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,22661513,24298014,21199788,15235022,10509758,10509757,15234976,15234975,11579120,7707266,4877792,4877794,7707274,11579138,13173826,8980269,5863027,5863028,8980272,13173833,18540475,16600663,11577905,11577904,15821388,15821390,16604072,16601320,16601319,21942058,23187071,16920854,16920853,19199767,13712336,13712232,13712231,19199621,19360274,15950877,15950876,17023032,12034350,12034274,8090296,8090297,8090324,8090323,8742309,8742306,12856082,18130764,24572214,256378168,38799262,38799263,48720243,60115112,72852006,86447202,92444856,78409267,65127655,53142874,256674721,25855787,19198910,13711607,9391397,6152549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356973, s2 = 16380422, dlinesl.size( ) = 16 s1 = 14984310, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11357487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357487, s2 = 11006060, int(edited[s2]) = 0 s1 = 11357487, s2 = 11006060, d1 = 15, d2 = 19 Dl.O(d1) = 141117874 Dl.O(d2) = 256403644,71335134,58603676,47214884,37308692,37308691,47214882,47214937,58603721,47863611,37944951,29379852,22049483,15946277,255090080,31314409,23825332,17488208,12330554,8329762,254354978,23825327,258250834,33298536,33302886,38191398,29624682,29624683,269613222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357487, s2 = 11006060, dlinesl.size( ) = 20 s1 = 11357499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357499, s2 = 11207064, int(edited[s2]) = 0 s1 = 11357499, s2 = 11207064, d1 = 15, d2 = 12 Dl.O(d1) = 272861601 Dl.O(d2) = 259895034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357499, s2 = 11207064, dlinesl.size( ) = 8 s1 = 13676306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13676306, s2 = 7945471, int(edited[s2]) = 0 s1 = 13676306, s2 = 7945471, d1 = 36, d2 = 91 Dl.O(d1) = 153816461,141143490,268240982 Dl.O(d2) = 254174028,29745553,267740208,13497017,13497016,254173830,26439765,19700388,14125321,12522409,12522408,17427131,12283158,12283157,17427128,17818604,17818602,21194734,15231029,10506714,10506710,11560614,11560617,16580420,22797292,16612563,11587185,11587184,16612559,12595320,12595319,17794426,24162018,21798278,21798277,17731194,12544566,8503624,5503975,3392821,254189327,641087,641086,1142867,254411981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13676306, s2 = 7945471, dlinesl.size( ) = 62 s1 = 11357641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357641, s2 = 11529312, int(edited[s2]) = 0 s1 = 11357641, s2 = 11529312, d1 = 2, d2 = 45 Dl.O(d1) = 153869912 Dl.O(d2) = 211921624,211921621,214869369,214869368,265136829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357641, s2 = 11529312, dlinesl.size( ) = 50 s1 = 11357725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357725, s2 = 11058098, int(edited[s2]) = 0 s1 = 11357725, s2 = 11058098, d1 = 25, d2 = 26 Dl.O(d1) = 141220058 Dl.O(d2) = 256919476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357725, s2 = 11058098, dlinesl.size( ) = 26 s1 = 11357773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357773, s2 = 11381734, int(edited[s2]) = 0 s1 = 11357773, s2 = 11381734, d1 = 12, d2 = 5 Dl.O(d1) = 258797206 Dl.O(d2) = 128298386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357773, s2 = 11381734, dlinesl.size( ) = 16 s1 = 11357935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357935, s2 = 11042620, int(edited[s2]) = 0 s1 = 11357935, s2 = 11042620, d1 = 12, d2 = 5 Dl.O(d1) = 258895884 Dl.O(d2) = 48329652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357935, s2 = 11042620, dlinesl.size( ) = 8 s1 = 11357987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357987, s2 = 12277718, int(edited[s2]) = 0 s1 = 11357987, s2 = 12277718, d1 = 10, d2 = 12 Dl.O(d1) = 258109240 Dl.O(d2) = 255881110,16352843,11379624,254123144,4780737,2880932,2880935,4780748,4781325,4781326,7561498,11052612,10747020,7549321,7549318,11362965,16332108,16356471,16356469,22529171,21102759,15158304,15158307,21102765,17336849,16311158,11348603,7540958,4770004,4770005,7540964,10750473,7102597,7102595,10750465,15544218,16315935,16315933,12204210,12204207,12349483,8343640,5385373,5385374,8343648,10720264,10720263,15501535,15603857,20198815,17255226,17255223,22512688,29871546,30435929,30435930,31086355,36805946,39749754,31071940,29858611,22494838,22494837,29858607,23655465,23655464,29852733,29852734,38420756,48323257,38411737,31149321,31149322,39831340,38425815,29862007,22499278,22499277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357987, s2 = 12277718, dlinesl.size( ) = 8 s1 = 11358099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358099, s2 = 11563122, int(edited[s2]) = 0 s1 = 11358099, s2 = 11563122, d1 = 16, d2 = 13 Dl.O(d1) = 257725670,59763305,260033129,264239253,212100522,273768276,264599442,220199697,265622073 Dl.O(d2) = 230208751,266018053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358099, s2 = 11563122, dlinesl.size( ) = 8 s1 = 10584055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11358383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358383, s2 = 11433204, int(edited[s2]) = 0 s1 = 11358383, s2 = 11433204, d1 = 16, d2 = 19 Dl.O(d1) = 261174448 Dl.O(d2) = 263546601,184125919,184125918,184125919,262625388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358383, s2 = 11433204, dlinesl.size( ) = 20 s1 = 11358413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11923724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11358739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358739, s2 = 14117398, int(edited[s2]) = 0 s1 = 11358739, s2 = 14117398, d1 = 6, d2 = 17 Dl.O(d1) = 154215556 Dl.O(d2) = 176616438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358739, s2 = 14117398, dlinesl.size( ) = 20 s1 = 11358821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358821, s2 = 11335056, int(edited[s2]) = 0 s1 = 11358821, s2 = 11335056, d1 = 12, d2 = 16 Dl.O(d1) = 273363580 Dl.O(d2) = 198090625,190550278,181815029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358821, s2 = 11335056, dlinesl.size( ) = 14 s1 = 11358961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358961, s2 = 11493638, int(edited[s2]) = 0 s1 = 11358961, s2 = 11493638, d1 = 11, d2 = 13 Dl.O(d1) = 154265615,166018326,176659385,186075832,194283547,262736994 Dl.O(d2) = 216094775,264233212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358961, s2 = 11493638, dlinesl.size( ) = 2 s1 = 11358961, s2 = 11493638, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11358961, Dl.E( ) = 14, 8.82e-06 seconds used appending s1 = 11359117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359117, s2 = 10879919, int(edited[s2]) = 0 s1 = 11359117, s2 = 10879919, d1 = 27, d2 = 20 Dl.O(d1) = 261248412,268972416,11571975,16592533,15976359,11090662,11090663,11567847,11567846,10858937,10858938,15685847,21734267,29023779,25659335,19040335,19040334,20061081,16587085,16587084,16594260,11573234,7703436,7703435,11573231,15722451,15722452,15565785,10766453,254739956,20071546,20071547,16594574,16590011,255496645,255151351,8114164,5198387,5198063,3171341,1856490,1856489,3171339,5198059,8107794,8107793,8367904,5400623,5400626,8367918,6058887,3791000,3790998,6058882,9251255,13519299,15264259,10561651,6966048,4376423,4376420,6966040,10561642,255023825,6948012,6948014,10535536,13535960,9265624,254447965,3797129,6068894,9265626,13535964,17155243,12058698,8107797,5194575,3169542,3169541,5194573,5193870,5193869,8106613,12056929,8111802,5196941,3170785,1856272,1059421,1059214,1059213,1855842,3169914,5195269,8108967,9265660,9265659,13535996,13509156,13509155,9244717,254404106,10572052,6973234,6973233,254837940,21270027,269572645,26299749,256182791 Dl.O(d2) = 107754901,258710792,23591950,23591949,31075311,267968540,38502851,254748934,40045692,31365427,255917216,12360300,8351409,8351410,12360308,17526408,23870884,31047739,39175584,30577911,23430574,17897104,17897106,20141450,255107248,10807745,7141455,4496556,2701784,2701783,4496555,7141452,10807742,15620462,16700994,11661580,7772865,4925672,2970876,2970877,4925677,7772874,7261010,7261009,10969754,11661718,16701217,22936207,30337188,30336772,256344048,11661591,7772867,7772866,11661588,16701005,21656135,21656136,28933855,29227583,29227584,37789565,37789571,43867318,47381903,38923329,38923330,268652877,30337171,29227605,29227604,37789589,47710583,39378164,39378165,49305865,58769013,47710577,37789585,37789584,38923602,30337260,29227597,21911481,15829411,10969748,10969747,15829407,21911472,29227587,37789573,30336712,22935880,22935881,30336715,23602758,23602757,31086949,38922903,30336762,30336761,30336774,30336773,30336789,38923053,37789563,37789562,47710544,48843487,38923047,38923048,48843490,54610087,60237931,258076048,38923044,38923039,30336778,30336779,30336720,30336719,38922973,37789581,37789580,47710568,47710564,37789578,29227593,21911477,21911478,29227581,37789557,37789568,47710550,47710555,38922960,30336707,30336706,38922956,39765298,49784853,59108597,49784846,49784847,61263957,74043961,72974456,60237681,48843493,48843494,59108569,59108568,60237677,48843485,40518097,40518096,50554435,60575125,49176289,256995474,256995159,38923035,38922967,38922966,48843419,258080488,86572179,87647266,74043968,61263971,60237583,48843389,48843390,60237587,72974362,60237609,48843406,38922951,30336701,22935877,16700972,16700971,22935874,30336697,38922942,31086947,23602755,17290126,12169192,8201193,8201194,12169195,17290128,23602760,31086955,39765306,47388699,47388698,58775855,71505143,85077111,86572589,86572593,72974888,72974889,71498529,58769081,47381889,37474489,28932944,28932943,37474485,47381883,58769074,71498517,59918269,49784827,39765276,39765275,49784812,48843369,38922915,38922914,48843368,258183715,61263940,61263939,61263941,61263942,74043944,61263947,61263948,74043953,87647260,99985242,86023895,86023894,86023905,72426386,59690817,48303978,48303977,59690815,72426382,258862751,74043928,61263924,61263923,74043927,87647248,260102471,99639152,85690287,259366505,109512851,109512849,259434074,60237575,258183721,86572137,260047809,259898822,72137830,59407763,258121103,85690289,72104464,59371794,47981554,47981553,59371792,72104461,85690285,259984763,104185907,260223089,258979905,63233476,269048041,256086949,24822434,24822441,32460026,32460027,41302738,51520333,256599391,18330969,13012395,8859383,5774550,5774551,8859386,268280991,268720087,37789587,37789586,47710579,48843416,60237615,72974396,63233480,51520338,51520340,63233482,270312485,59108598,258721355,76248478,85070633,85690273,85690274,99639141,104185910,90056814,90056813,90056812,269950643,51520337,257739523,76248464,72974301,60237534,48843349,48843350,60237536,259326329,71498435,58769000,47381788,37474425,28932894,21655315,21655316,28932898,37474430,47381796,58769008,71498443,85070540,98996184,85690266,72104437,72104438,85070536,86572099,72974314,60237547,48843361,38922910,38922909,48843360,58769001,257575579,258807057,86572113,72974327,72974326,259326331,259326333,60237540,60237539,72974304,85433047,99374478,259430999,86572093,86572089,86572090,86572105,258183717,48843370,48843371,60237558,72974321,86572110,87007890,87007889,99639132,260074124,59108564,59108563,71847240,85433040,99374467,101001548,87007874,270875795,115072882,114563352,271824309,100532986,100532985,100532994,259326822,72974325,72974450,72974451,60645871,60645872,73392455,259457489,115072891,115072892,260074122,259346628,85433035,85433036,99374463,86572182,72974401,72974402,73397628,73397630,87007875,101001546,87007909,73392470,73392472,87007912,87007880,73392438,73392437,87007878,87007888,73392447,60645867,49245304,257602743,73392449,60645869,49245306,257602745,258210366,101001557,115072885,101001552,87007884,258210361,49245293,39324268,39324269,49250700,258210829,87013191,98996183,85070534,85070533,87007876,85070552,85070553,269843950,112985899,98996190,85070541,73392445,60645865,60645864,73392442,60645874,49245309,39318412,30720111,30720113,39318416,49245311,60645878,60645897,60645896,257022262,87013203,73397639,60651185,49250707,39324273,30726508,30726507,39324271,49250704,60651183,73397636,87013199,101006717,114563374,114563377,128447105,114563373,101001571,87007900,87007899,101001567,115072900,115072890,101001554,101001553,109580878,95325540,81266037,67798163,55456362,44607808,44607809,49245302,39318407,39318406,49245298,60645862,257022266,47381810,58769015,71498452,85070556,87013201,73397637,258210364,87007921,87007920,101001591,100806723,87013195,87013193,101006715,100533021,86572144,72974347,72974346,86572142,100533017,87007897,87007898,101001563,115072898,115072903,101001581,101001582,115072905,115655093,101614139,87647242,255528964,67798161,67798162,81266035,73392476,73392475,87007916,101001589,269843948,85070551,71498449,71498448,85070546,98996191,112985901,126839951,115072912,101001596,87007924,87007925,86572134,73212787,73212786,86825541,100806725,114858317,128756410,259945410,122906421,108641567,94353732,80297310,66868075,66868076,80297313,85070472,256995156,47381706,268652868,39765263,39765262,49784809,61263917,74043925,87647246,101614142,95325537,95325536,101001586,101001585,269371280,257465900,60238104,72974865,258080554,86475840,86475839,100432920,100532996,257022258,100533001,86572127,72974338,60237571,48843377,38922925,256995151,60237569,54610081,43867307,43867308,54610083,257465382,256463483,30534267,39132830,49062714,269352164,63233486,76248469,90056817,100432928,86475847,72880476,72880475,86475843,73545895,60798788,60798789,60237565,258183719,86572120,90056818,269822674,63233488,74446502,61662146,61662145,74446499,88058757,87164343,74446506,61662148,61662149,74446509,88058762,98996340,98919118,84994366,71421109,58687952,47297048,37387715,37387714,47297044,48843729,257510282,60237899,60237898,60645804,49245250,49245249,60645802,72426370,59690801,59690800,60238128,72426356,59690787,59690788,72426358,86023893,72974711,60238111,48844006,38923623,30337272,30337270,38923617,48844002,60238109,71498654,60238120,60238121,270300461,72426367,59690794,59690793,72426365,85124211,85070725,72974370,60645809,60645807,71505117,58775824,47388676,47388677,58775826,58769819,48843725,48843726,58775857,58775856,58775888,47388736,47388737,48303965,38393564,38393566,48303969,38923639,38393555,38393554,48303948,59690791,72426362,256907852,38923626,30337275,22936273,22936274,30337281,38923636,48303982,38923293,38923292,47382103,58769256,59690811,48303975,38393568,38393557,38393558,48303951,257575588,71498658,58769260,58769261,58769268,47382115,47382113,257465385,58769262,256885180,30336816,30337012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359117, s2 = 10879919, dlinesl.size( ) = 28 s1 = 16210841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11359417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359417, s2 = 11178696, int(edited[s2]) = 0 s1 = 11359417, s2 = 11178696, d1 = 6, d2 = 11 Dl.O(d1) = 141709712 Dl.O(d2) = 256989613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359417, s2 = 11178696, dlinesl.size( ) = 22 s1 = 11359443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359443, s2 = 11119682, int(edited[s2]) = 0 s1 = 11359443, s2 = 11119682, d1 = 2, d2 = 0 Dl.O(d1) = 261977260,22878400,21882668,21882667,23204070,23204069,30626594,24342044,17951359,13133793,8951041,8951040,8643539,5621585,3492462,2074712,2074713,3492470,5621594,8643557,12720878,17951539,24342296,31864723,26964233,26964234,35044507,44418838,46979831,46979830,49254420,47055766,37164913,37164912,38196005,32748701,25057182,18519105,18519104,16546453,11532467,11532466,16546449,22758443,24342250,21555216,15534882,15534881,21555213,16031604,11131515,7383622,254766117,16031596,22151147,25192840,18631545,17955010,17955012,16887096,11816028,11816031,16887105,19282741,19282743,24638858,24638857,32236644,32546547,32285206,25257841,22790985,18835294,18594285,17793555,16841926,13837845,13837841,11778109,11778112,13837849 Dl.O(d2) = 9713654,9713659,11580687,9714043,9714042,14119400,19692225,256190587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359443, s2 = 11119682, dlinesl.size( ) = 2 s1 = 11359443, s2 = 11119682, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11359443, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 15353461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15353461, s2 = 1372849, int(edited[s2]) = 0 s1 = 15353461, s2 = 1372849, d1 = 11, d2 = 25 Dl.O(d1) = 2944004,2943983,2943984,4885678,7718971,11595612,16623631,13203804,13203801,18579902,25133300,32838496,41758957,38753880,30171005,22782384,16566830,16566831,20334225,14593277,14593280,20334233,14593579,10042381,10042380,14594489,20335730,16141936,11213926,7440681,4701508,4701507,7440678,11213922,9743161,6406680,6406678,9743158,14172453,19786254,26591412,29216716,29215036,21900788,15821421,15821423,21898539,17933433,12706897,12706895,15821110,10964188,7257468,7257465,254349000,21900366,22824788,255446434,47388275,255808628,22951568,22951567,30353317,23282449,17023247,11938271,7989782,254763526,17023232,17023231,23282429,21647486,15614446,15614447,21647487,16159213,254349310,7449390,11227004,267972408,22888151,30285999,38871870,48794318,60191053,72930504,86529028,259360170,128385871,141731347,154378614,166123596,176756744,186164936,194364318,263889616,212169385,216149526,219447017,222231919,219447007,216149513,212169381,207296497,207296498,212169383,216149518,216149494,216149496,219446972,222231880,224622629,224622650,224622664,224622662,226698624,228508226,228508225,226698613,224622641,222231891,219446983 Dl.O(d2) = 103396405,117521196,131317019,138866422,138866416,138866417,151568720,143596237,143596236,131317021,131317020,260747994,163451456,272512291,125534220,125534221,138866414,125534226,111727997,97805842,83946526,270790245,260472833,138866418,125534224,125534223,138866417,151568720,272162247,111727996,111727995,125534221,138866414,125534226,125534225,260472831,97805842,83946526,70419657,57724618,46374375,36515280,28050946,20882396,20882395,20882396,14980089,10312328,254706321,2536118,2536117,4241743,6768103,6768102,10283965,6759450,6759451,6793060,4259139,2546223,1466888,1466889,2546226,4259142,6793064,10323946,6793200,6793199,9089134,6776850,6776853,6765191,6765190,6823585,6823582,10327707,7671370,7671371,11531522,10353638,6818112,4276863,4276865,4294238,4294237,6843713,10384437,11537566,7675779,4856921,254485877,2557121,1472854,832991,832992,1472856,2557123,4276941,4929453,2973401,2973400,2972249,1724810,1724808,2972244,4927736,7775655,254707049,4246331,2538805,1462856,1462857,2538807,4246333,6774508,10302372,268197125,28040434,36503847,46361975,57711237,67559194,55215615,44364607,34986727,26906371,256211711,26906373,34986729,44364609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15353461, s2 = 1372849, dlinesl.size( ) = 2 s1 = 15353461, s2 = 1372849, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15353461, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 11359783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11360075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11360075, s2 = 11198008, int(edited[s2]) = 0 s1 = 11360075, s2 = 11198008, d1 = 22, d2 = 39 Dl.O(d1) = 261779231 Dl.O(d2) = 257221846,13313603,10734824,254503967,2682911,1554171,883660,498623,279632,279631,498620,883654,1554159,2682888,4465624,7092519,10734669,15521368,21536474,21159521,15203491,10486615,10486616,10494257,6919982,4347294,4130292,2470766,1428161,1428160,2470760,4130280,6592653,10031243,14577951,15522340,11528578,11528580,13509918,9243876,6054257,6054260,9243890,10713334,7077618,4455814,2676736,1550480,1550481,2676740,4455823,7077636,10713346,10734885,7092676,4465736,4465738,4465616,4465615,7092495,10713050,10713048,15491943,21498708,28758037,21528183,21528084,15517471,10732033,10732032,10731286,7090440,4464451,4464450,7090434,10031280,255342919,21537741,15522384,15521675,10734934,7092704,7092703,255410376,254503786,2682936,2683127,1554286,883720,498656,498655,883704,1553519,883295,883296,1553524,2681797,4463788,7089327,10729622,10729505,10729504,7089932,4464122,2681984,1553634,883355,498449,279545,154287,154292,279562,498494,883419,1553752,2682171,4464426,7090397,10731239,15516218,20116752,20116750,27008188,35094516,44471352,48888050,48888049,46697843,44467457,40145704,31462102,31462101,40145703,50170904,46850506,258036883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11360075, s2 = 11198008, dlinesl.size( ) = 34 s1 = 11360113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11360113, s2 = 10390595, int(edited[s2]) = 0 s1 = 11360113, s2 = 10390595, d1 = 7, d2 = 7 Dl.O(d1) = 154721436,166432467,262518306,194539602,201529066,207411981,273804784 Dl.O(d2) = 154721436,166432467,262518306,194539602,201529066,207411981,273804784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11360113, s2 = 10390595, dlinesl.size( ) = 2 s1 = 11360113, s2 = 10390595, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11360113, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14203974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14203974, s2 = 8049044, int(edited[s2]) = 0 s1 = 14203974, s2 = 8049044, d1 = 34, d2 = 24 Dl.O(d1) = 154313922,141661512,128311834,128311835,141661515,261779982,154313920,166062801,159452287,147077219,147077218 Dl.O(d2) = 58164110,255507720,42174553,255262732,34990327,256496924,14343314,14343313,20025586,26909297,34990324,33214950,25467703,18867547,13444293,13444291,18867541,25467693,33214940,42174242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14203974, s2 = 8049044, dlinesl.size( ) = 2 s1 = 14203974, s2 = 8049044, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14203974, Dl.E( ) = 42, 1.41e-05 seconds used appending s1 = 3132591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11360387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11360387, s2 = 11478764, int(edited[s2]) = 0 s1 = 11360387, s2 = 11478764, d1 = 0, d2 = 8 Dl.O(d1) = 154788561 Dl.O(d2) = 177076530,263591783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11360387, s2 = 11478764, dlinesl.size( ) = 12 s1 = 13679808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13679808, s2 = 1999376, int(edited[s2]) = 0 s1 = 13679808, s2 = 1999376, d1 = 23, d2 = 0 Dl.O(d1) = 273147033 Dl.O(d2) = 52018055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13679808, s2 = 1999376, dlinesl.size( ) = 2 s1 = 13679808, s2 = 1999376, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13679808, Dl.E( ) = 46, 2.31e-05 seconds used appending s1 = 11360899, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11361243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361243, s2 = 1505505, int(edited[s2]) = 0 s1 = 11361243, s2 = 1505505, d1 = 68, d2 = 19 Dl.O(d1) = 261188365,260010951 Dl.O(d2) = 38397820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361243, s2 = 1505505, dlinesl.size( ) = 50 s1 = 11361273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361273, s2 = 14077410, int(edited[s2]) = 0 s1 = 11361273, s2 = 14077410, d1 = 25, d2 = 0 Dl.O(d1) = 155154572,155154573,261755450 Dl.O(d2) = 156418953,143910179,261322456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361273, s2 = 14077410, dlinesl.size( ) = 20 s1 = 11361341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361341, s2 = 11455608, int(edited[s2]) = 0 s1 = 11361341, s2 = 11455608, d1 = 3, d2 = 9 Dl.O(d1) = 155164508 Dl.O(d2) = 262312676,263216820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361341, s2 = 11455608, dlinesl.size( ) = 14 s1 = 11361437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361437, s2 = 11255784, int(edited[s2]) = 0 s1 = 11361437, s2 = 11255784, d1 = 5, d2 = 10 Dl.O(d1) = 155185285 Dl.O(d2) = 260734998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361437, s2 = 11255784, dlinesl.size( ) = 8 s1 = 11361613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361613, s2 = 11015506, int(edited[s2]) = 0 s1 = 11361613, s2 = 11015506, d1 = 12, d2 = 20 Dl.O(d1) = 270277380 Dl.O(d2) = 256824484,25956209,19898800,14254669,9797789,6440623,4039869,4039867,5591553,4501687,4501690,6843473,10384089,10817363,10817366,15593207,15024409,15024407,18853254,13432576,9183882,9183880,13432567,14393792,9900049,9900046,14393785,19465288,26165702,28898786,28898788,25068264,18526531,18526532,25068265,28014847,25772827,20897018,20353561,20353559,27288418,22758556,16546554,11532550,7672136,7672137,11532554,15587618,21166486,254483174,20349402,27284674,20353909,14610121,14610122,20094552,14407274,9909501,9909500,14407270,14407271,10047150,6602320,267879010,4486600,2695568,1561615,887835,887836,1561618,2695576,4486617,254705402,7436872,4699256,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,1477103,2565136,268064797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361613, s2 = 11015506, dlinesl.size( ) = 8 s1 = 13681154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11361925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361925, s2 = 10493777, int(edited[s2]) = 0 s1 = 11361925, s2 = 10493777, d1 = 9, d2 = 4 Dl.O(d1) = 260698013 Dl.O(d2) = 74026595,259485597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361925, s2 = 10493777, dlinesl.size( ) = 16 s1 = 8507160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13681630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13681630, s2 = 1636693, int(edited[s2]) = 0 s1 = 13681630, s2 = 1636693, d1 = 15, d2 = 7 Dl.O(d1) = 259468224,143004294,155552443,155552441,155552440,167183531,177681299,186961161,186961163,186961158,177681296,177681297,186961159,195045887,195045888,201963088,196475143,188668064,179659227,169424914,158009780,145608007,132361917,118522064,104338153,90185816,76357684,63326278,63326277 Dl.O(d2) = 63579966,63579964,51794411,41517038,255228740,18444426,18444427,24962849,29246703,27202272,27202271,35326646,44753265,55661818,68058723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13681630, s2 = 1636693, dlinesl.size( ) = 2 s1 = 13681630, s2 = 1636693, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13681630, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 14536090, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14536090, s2 = 16209987, int(edited[s2]) = 0 s1 = 14536090, s2 = 16209987, d1 = 36, d2 = 40 Dl.O(d1) = 226588500,228411364,228411384,228411335,226588476,224496389,224496388,225757712,225757711,227670441,227664032,227664013,225750344,225750345,224496418,222088654,219285859,215967362,211960553,264101416,194061519,185830598,176391569,165727182,153952328,141279876,127918342,259722734,86046995,72448247,59711404,48324281,38413902,29842701,29842700,38413901,48324279,59711402,72448245,84420275,70862965,58148821,46781267,36903472,36903471,28495363,21278138,20200635,20200634,21176893,15216996,15216995,10500456,6923976,4349777,4349778,6923982,10500469,15222573,15233987,21198415,24640116,18184085,12896376,10352365,6817040,4276096,4253605,4253604,6785291,10296835,10296834,11459998,7622620,6750498,5954627,5954626,9100797,10286381,6761530,4858936,3836229,3836227,4257145,6790277,5929247,3707364,3707365,5929250,6770492,4243494,2537194,2534952,2534954,2533624,1460024,826468,826470,826498,466644,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,6799767,6811829,6762779,6762778,7672827,8335556,6836534,4289618,4289615,6836526,5937504,4268559,4268557,6806068,8336825,10297565,6770342,6770343,6770304,6770303,6790688,4257477,2545252,1466361,829694,829695,1466364,2545258,4257485,6765540,6765539,4244700,2537874,2537873,4244696,6772195,254712637,10386879,6845313,6845314,10386880,13316412,9097064,6822417,4285931,4285933,6772970,5584850,3465254,2054918,2054919,3465256,5585324,5585322,8595940,12660231,9092141,5948172,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332810,597056,1061949,1859354,2758768,267887635,10985011,12317179,8319780,7500586,7500587,11297399,16249923,22414682,29779831,38352395,48263445,48536272,59650545,72385136,85980211,99938300,113961205,127839773,128616474,114719650,100673245,86700028,73096602,60358438,48963292,48963291,46891361,46891362,48963314,49162301,53676578,43166407,34083178,26222587,256177803,30637575,30637574,39235523,43166353,43166352,53676534,65732488,59979385,268438610,100274683,114304488,128186887,115814715,258873682,258873685,101769044,115814719,129713533,261825777 Dl.O(d2) = 129713526,129713525,143044260,262805609,261825775,129713526,129713525,143044261,262333807,177723481,175012790,164197660,155594376,155594377,260709742,143044274,143044273,143044272,129713531,129713530,143044270,155594292,262333807,177723481,175012790,164197660,152314954,152314955,139585868,126211126,112351002,98368675,84459343,257310938,46823969,36946047,36946046,46823967,58190071,61267407,257479536,31089735,23605222,255997873,39768438,46387905,46387906,47679894,47679895,59079925,71821045,256814066,46387907,257392441,70432071,83958593,97817768,111739972,125546243,138879022,151581671,163464530,174311842,183973635,192438851,199726886,205891033,210989171,215155451,274333485,226092300,227958214,228051371,226194156,224061017,265164910,218737729,215345293,211239374,206214233,200137340,263844004,184552241,262639196,164124722,152237895,139506912,260503590,112273264,98291646,258030822,257421202,46739252,36857591,36857592,37925710,29359565,22029240,15928134,15928135,18890231,25495041,28035048,27204808,20276991,20276992,17761532,12568387,8522861,5521393,5521391,8522856,12568381,255194763,5521390,8522852,12568376,17761511,24123460,31628921,40316676,33001652,255651329,255369083,14990841,10322096,6791422,6791423,10322099,14990847,20894725,28065534,26684160,19865707,19855837,14225285,14225286,13973545,9595821,6300373,6300374,4452766,2675033,2675031,254502425,254914827,9110318,5960990,3727744,3727743,5960989,5961066,3727782,3727783,5961072,9110466,13333800,18730272,25305769,33032319,41975460,52315853,64167364,77315487,259644221,105456120,119694056,133568339,146826587,159201020,170541345,180674587,189573912,197264136,203824316,274040883,217479926,220554573,223169542,264451496,264161328,211132164,206075204,199957763,263073826,263073828,199957761,200160812,192967711,184582745,174980681,164163438,152278525,258018968,112310586,98327576,84418281,70860989,58146822,46779261,36901485,28404211,23166504,20292531,14561648,10020123,7659898,4846423,4846422,7659891,7659839,7659838,11515010,16522615,22727999,29593559,38159894,29832391,22465275,16297071,16297072,20295326,267934762,6586667,4126627,4126626,6586665,10021703,14564028,20295310,20945734,15037129,10364590,10364591,15037131,14925964,14925963,20824052,21619231,28893776,28893775,25628484,19013344,13570051,10246282,6732256,6732257,10246284,14902273,20794712,27956157,268900419,57611592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14536090, s2 = 16209987, dlinesl.size( ) = 12 s1 = 11362629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11362795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11362795, s2 = 11458292, int(edited[s2]) = 0 s1 = 11362795, s2 = 11458292, d1 = 19, d2 = 16 Dl.O(d1) = 262809963 Dl.O(d2) = 207781651,201963218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11362795, s2 = 11458292, dlinesl.size( ) = 12 s1 = 11362845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11362845, s2 = 11334666, int(edited[s2]) = 0 s1 = 11362845, s2 = 11334666, d1 = 10, d2 = 13 Dl.O(d1) = 262593096 Dl.O(d2) = 259184484,3306381,2543080,254155313,829085,1465153,2543085,3708513,3704436,3704437,5924220,5924266,5924265,9060658,13275849,10396645,6853247,4300881,4300880,6853246,258015263,84103085,259885379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11362845, s2 = 11334666, dlinesl.size( ) = 8 s1 = 11363071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363071, s2 = 14960172, int(edited[s2]) = 0 s1 = 11363071, s2 = 14960172, d1 = 8, d2 = 12 Dl.O(d1) = 263507118 Dl.O(d2) = 257319951,35197232,259796163,261000099,261764306,151997840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363071, s2 = 14960172, dlinesl.size( ) = 14 s1 = 11363077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363077, s2 = 14135024, int(edited[s2]) = 0 s1 = 11363077, s2 = 14135024, d1 = 17, d2 = 0 Dl.O(d1) = 262815547,187142427,195213523,202113103,207912641,212691838,216598467,219837035,219837034,219837035,222570378,265196760,216598469,212691837,264755478,212691839,265042599,216598469,212691837,264213058 Dl.O(d2) = 264213058,195213521,264286901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363077, s2 = 14135024, dlinesl.size( ) = 2 s1 = 11363077, s2 = 14135024, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11363077, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 6823950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6823950, s2 = 9494249, int(edited[s2]) = 0 s1 = 6823950, s2 = 9494249, d1 = 33, d2 = 79 Dl.O(d1) = 258886636,155744510 Dl.O(d2) = 175247821,184812946,193164235,200331890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6823950, s2 = 9494249, dlinesl.size( ) = 36 s1 = 11363493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363493, s2 = 11099904, int(edited[s2]) = 0 s1 = 11363493, s2 = 11099904, d1 = 17, d2 = 20 Dl.O(d1) = 102063384,260995054,95230640,95230639,88069161,88069162,74461284,61678429,61678430,74461287,88073510,102059092,261845747,143355319,260730851,102059084,88073505,74461283,61678429,61678430,74461287,88073510,102059091,116116802,116121153,259163258,102054658,88073504,260730849,261845747,260403384,102054703,102054704,260730855 Dl.O(d2) = 272266283,261303253,130026229,143358974,133811078,260275079,259031207,77554208,88073503,74461281,258894881,260133975,130026227,143358973,143355258,261313304,119943924,116112443,116112442,119943922,119943921,133811072,262822873,155899001,261845211,130022194,116112441,102054671,88069156,74456859,74456860,88069157,102054673,116112445,105708836,91485110,77554207,64385920,258404001,259658323,119943926,260870835,77554204,64385918,64385919,77554205,258404003,64385922,77554210,91485114,105709034,259518485,88069159,102054675,116112446,116112469,116116797,102059082,88073502,74461281,258894881,260133975,130026227,143358973,143355258,261313304,119943924,116112443,116112442,119943922,119943921,133811072,262822873,155899001,261845211,130022194,116112441,102054671,88069156,74456859,74456860,88069157,102054673,116112445,105708836,91485110,77554207,64385920,258404001,259658323,119943926,260870835,77554204,64385918,64385919,77554205,258404003,64385921,77554208,88073503,74461281,258894881,260133975,130026227,143358973,143355258,261313304,119943924,116112443,116112442,119943922,119943921,133811072,262822873,155899001,261845211,130022194,130022193,261313714,77554206,64385920,52512175,52512176,64385922,77554210,91485114,105709034,102059085,88073505,88073506,102059087,260730853,143358978,262822871,262473191,147057135,133811077,119943928,271038165,88073503,74461281,258894881,260133975,130026227,143358973,143355258,261313304,119943924,116112443,116112442,119943922,119943921,133811072,262822873,155899001,261845211,130022194,116112441,102054671,88069156,74456859,257662933,256532593,31480412,40165218,50189537,257788933,77554011,91484901,77554193,259031205,77554202,257788949,52512172,64385917,77554200,91485102,91484987,91484983,88076775,74464362,61681496,61681495,74464358,88076770,91484997,77554096,64385842,52512118,50047786,50047787,61527177,52512182,42154239,33195078,255663999,13431249,9182976,268025315,33195075,42154235,52512177,64385923,61682469,61682468,270914646,116116777,259530906,270914646,116116777,102059072,88073617,74461395,74461394,88073614,91484505,91484506,105708423,105708906,91484986,91484983,88076775,74464362,61681496,61681495,74464358,88076770,91484997,77554096,64385842,52512118,50047786,50047787,61527177,52512182,42154239,33195078,255663999,13431249,9182976,6010316,3759173,2251902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363493, s2 = 11099904, dlinesl.size( ) = 2 s1 = 11363493, s2 = 11099904, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11363493, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 11363577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363577, s2 = 11500764, int(edited[s2]) = 0 s1 = 11363577, s2 = 11500764, d1 = 7, d2 = 10 Dl.O(d1) = 272462770 Dl.O(d2) = 273891669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363577, s2 = 11500764, dlinesl.size( ) = 22 s1 = 11364007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11364169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364169, s2 = 11499450, int(edited[s2]) = 0 s1 = 11364169, s2 = 11499450, d1 = 40, d2 = 66 Dl.O(d1) = 263989965 Dl.O(d2) = 265441211,221210259,218285918 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14613994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14975743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11364349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364349, s2 = 11224556, int(edited[s2]) = 0 s1 = 11364349, s2 = 11224556, d1 = 20, d2 = 10 Dl.O(d1) = 260753618 Dl.O(d2) = 141713818,128366956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364349, s2 = 11224556, dlinesl.size( ) = 22 s1 = 11364707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364707, s2 = 11473640, int(edited[s2]) = 0 s1 = 11364707, s2 = 11473640, d1 = 6, d2 = 1 Dl.O(d1) = 262377535 Dl.O(d2) = 202380579,208140739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364707, s2 = 11473640, dlinesl.size( ) = 12 s1 = 14674635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14674635, s2 = 4188197, int(edited[s2]) = 0 s1 = 14674635, s2 = 4188197, d1 = 6, d2 = 6 Dl.O(d1) = 12265514,12265515,8404946,5423569,5423570,8404948,12436078,12270005,12269923,8285710,8285712,12269933,17409898,17409911,12318091,12268082,8284611,5344698,5344697,8284626,8364959,12378678,17548701,21246252,21246251,23895029,17549138,17549139,23717930,17394226,255024536,24296854,17914311,254927404,255596605,21878875,29190589,36743405,36743404,46631218,46631214,36743400,36743401,40602368,50652365,62161361,74973019,88614988,102621252,102621251,102621248,88614985,88614986,102621249,116717207,130551682,143869775,143869773,143869774,156385793,157851872,145452359,132223858,132223859,145452361,148021682,134902241,134902242,262011057,148021686,261171606,92530091,78490109,78490108,257519548,21302442,21302441,28524040,37021885 Dl.O(d2) = 12265514,12265515,8404946,5423569,5423570,8404948,12436078,12270005,12269923,8285710,8285712,12269933,17409898,17409911,12318091,12268082,8284611,5344698,5344697,8284626,8364959,12378678,17548701,21246252,21246251,23895029,17549138,17549139,23717930,17394226,255024536,24296854,17914311,254927404,255596605,21878875,29190589,36743405,36743404,46631218,46631214,36743400,36743401,40602368,50652365,62161361,74973019,88614988,102621252,102621251,102621248,88614985,88614986,102621249,116717207,130551682,143869775,143869773,143869774,156385793,157851872,145452359,132223858,132223859,145452361,148021682,134902241,134902242,262011057,148021686,261171606,92530091,78490109,78490108,257519548,21302442,21302441,28524040,37021885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14674635, s2 = 4188197, dlinesl.size( ) = 2 s1 = 14674635, s2 = 4188197, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14674635, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 4146288, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11364979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364979, s2 = 11318212, int(edited[s2]) = 0 s1 = 11364979, s2 = 11318212, d1 = 4, d2 = 0 Dl.O(d1) = 144167466 Dl.O(d2) = 88927898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364979, s2 = 11318212, dlinesl.size( ) = 14 s1 = 11365085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365085, s2 = 14116892, int(edited[s2]) = 0 s1 = 11365085, s2 = 14116892, d1 = 31, d2 = 29 Dl.O(d1) = 273574348,264277078 Dl.O(d2) = 263265074,182785030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11365085, s2 = 14116892, dlinesl.size( ) = 44 s1 = 2736525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11365419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365419, s2 = 11000108, int(edited[s2]) = 0 s1 = 11365419, s2 = 11000108, d1 = 7, d2 = 8 Dl.O(d1) = 260790047 Dl.O(d2) = 268020940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11365419, s2 = 11000108, dlinesl.size( ) = 14 s1 = 11365427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9326513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9326513, s2 = 12285649, int(edited[s2]) = 0 s1 = 9326513, s2 = 12285649, d1 = 25, d2 = 22 Dl.O(d1) = 62844402,51194643,258959953,260203035,131688183,144936307,157349187,168787480,179066247,263674621 Dl.O(d2) = 112422240,98433922,98433923,112422242,100859097,100859098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9326513, s2 = 12285649, dlinesl.size( ) = 2 s1 = 9326513, s2 = 12285649, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 9326513, Dl.E( ) = 32, 1.5e-05 seconds used appending s1 = 11365957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365957, s2 = 11025422, int(edited[s2]) = 0 s1 = 11365957, s2 = 11025422, d1 = 9, d2 = 1 Dl.O(d1) = 145100380,261376378,156308773,259594510,258342080 Dl.O(d2) = 88496655,256590786,40531746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11365957, s2 = 11025422, dlinesl.size( ) = 6 s1 = 15128729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9229232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11366197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366197, s2 = 11370114, int(edited[s2]) = 0 s1 = 11366197, s2 = 11370114, d1 = 19, d2 = 22 Dl.O(d1) = 263682841 Dl.O(d2) = 273012386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366197, s2 = 11370114, dlinesl.size( ) = 32 s1 = 11926390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11366517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366517, s2 = 14100334, int(edited[s2]) = 0 s1 = 11366517, s2 = 14100334, d1 = 19, d2 = 24 Dl.O(d1) = 259355852,104435260,258730680,259974024 Dl.O(d2) = 188520055,263056766,169246830,179500541,261047516,154470676,154470675,166202393,166202395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366517, s2 = 14100334, dlinesl.size( ) = 26 s1 = 11366809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366809, s2 = 12034356, int(edited[s2]) = 0 s1 = 11366809, s2 = 12034356, d1 = 7, d2 = 7 Dl.O(d1) = 158437861,260327442,174308899,262971071,262020155,160642134 Dl.O(d2) = 158437861,260327442,174308899,262971071,262020155,160642134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366809, s2 = 12034356, dlinesl.size( ) = 2 s1 = 11366809, s2 = 12034356, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11366809, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 14204278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11366955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366955, s2 = 14080882, int(edited[s2]) = 0 s1 = 11366955, s2 = 14080882, d1 = 10, d2 = 20 Dl.O(d1) = 158593234,169958148 Dl.O(d2) = 259043500,258416569,52698727,42311782,33331514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366955, s2 = 14080882, dlinesl.size( ) = 20 s1 = 14709451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14709451, s2 = 7975365, int(edited[s2]) = 0 s1 = 14709451, s2 = 7975365, d1 = 8, d2 = 5 Dl.O(d1) = 163578892,174419628,184073428,192528681,199805542,205957325,211043889,215200671,218624674,217059517,213258820,208613848,202961773,202961772,196218163,188335504,179284850,179284849,168998854,157536334,157536333,157536335,157536337,145102094,131843677,118017493,103874416,103874415,118017492,118017488,103874412,89772648,89772649,103874414,118017490,131843673,118017499,260806915,118017497,118017496 Dl.O(d2) = 103874417,118017494,131843679,145102096,157536339,157536338,260354688,259736814,107751522,93323354,79192244,65830226,53769844,43253794,34163385,34163386,43253795,53769845,65830227,256642880,256127218,33043240,25315323,18737946,256117013,41987020,45625736,35961285,27651795,27651796,35961288,267997250,27651785,27651786,35961281,35038482,26958527,20074782,16209488,16209486,16209487,16002044,12933274,12933275,18233625,24704288,22360860,16207999,11266968,11266966,16207995,22360855,29716823,29716824,38283483,48192866,51362008,41175847,36930591,36930590,256081092,51362335,41176179,41176180,51362338,58778415,47391328,47391327,39490294,30884025,23452407,17175455,17175456,23452411,30884031,39490302,47391299,37483772,28941982,28941984,37483777,31828892,31828890,40526038,38221875,38221876,48131884,59519182,72253218,71507668,58778395,58778394,68055753,67590683,55249202,44401423,40526085,31828950,24311354,17926361,15627710,15627709,21663349,28942003,37483810,47391340,48131888,48131889,48131930,38221847,29655879,22304204,22304202,29655876,38221844,44749441,44749443,42666610,42666609,38221821,35323320,27199517,27199516,35323319,31828904,24311327,17926347,12701599,12701600,17926353,24311335,17926372,12701609,12701607,17926368,24311369,29655873,29655874,35026111,26945244,20059925,14375324,14375325,20059928,26945249,29656051,22304368,16158501,16158500,22304164,16158366,16158367,22304170,29655836,38221810,32360433,32360434,41176204,51362363,44749446,35323292,27199490,27199489,26945253,20059930,20059929,26945251,29655955,29655954,38221918,29656063,29655859,22304185,22304187,20272771,20272768,20272767,27199507,35323309,29655897,22304217,16158396,16158394,22304214,22304356,29655862,255623946,24328037,31847823,31886723,31886724,37888292,37888291,40594590,31886713,28691693,28691694,29656026,29656011,22304336,16158480,11226492,11226493,16158484,254528900,4706452,2835212,1644788,1644789,254237104,7449074,11226521,16158533,20272761,26945255,26945254,35026120,29655914,29655915,29655943,22304269,16158432,16158433,22304271,24319816,17932881,12706416,12706415,17932879,24319810,18048371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14709451, s2 = 7975365, dlinesl.size( ) = 2 s1 = 14709451, s2 = 7975365, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14709451, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 13686494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11367303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367303, s2 = 14124891, int(edited[s2]) = 0 s1 = 11367303, s2 = 14124891, d1 = 1, d2 = 14 Dl.O(d1) = 158718931,170078071,180247376 Dl.O(d2) = 262867788,196936114,192049270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367303, s2 = 14124891, dlinesl.size( ) = 24 s1 = 11367457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367457, s2 = 12348152, int(edited[s2]) = 0 s1 = 11367457, s2 = 12348152, d1 = 8, d2 = 0 Dl.O(d1) = 262838668 Dl.O(d2) = 32956204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367457, s2 = 12348152, dlinesl.size( ) = 8 s1 = 11367609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367609, s2 = 8023860, int(edited[s2]) = 0 s1 = 11367609, s2 = 8023860, d1 = 24, d2 = 2 Dl.O(d1) = 146760803,146760802 Dl.O(d2) = 15026377,10354218,254485897,2557245,2557247,4277189,6818604,7273725,9060844,9060845,5937045,3712302,3712303,4277169,2557237,2557236,4277165,6818559,8334769,5927709,3706543,2219821,2219823,3706566,5927823,9065563,6785393,4253696,3724791,3724792,4290691,4290692,4290686,4290688,6828378,6828377,255007579,270286072,256849080,23438240,17163850,17163851,17558382,23902774,23911430,17568324,17568322,21266284,17575993,17575992,12408957,8386728,5411937,3326782,3326784,1960590,1119992,628457,628456,1119987,1960569,3323643,1954833,1116726,626670,626669,1116725,1954828,3169234,3169233,5193945,8106719,12057276,17153852,17392206,17392208,12639217,12639216,16591480,12403104,9245697,9245698,13512428,17550536,12380200,12380199,12667030,12374910,8362315,5397508,3318969,1952475,1952474,3318963,5397498,8362295,7211293,7211291,8280986,8280984,8280958,8280959,12262050,17394924,12258396,8278768,254843745,17394921,17396384,12259481,12259480,15703426,15703425,21758354,17401932,17401930,22087716,17572648,17572649,17394325,17394324,12265172,12265173,8283276,7677312,7677314,11539947,12266027,12262509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367609, s2 = 8023860, dlinesl.size( ) = 8 s1 = 11367663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367663, s2 = 11053222, int(edited[s2]) = 0 s1 = 11367663, s2 = 11053222, d1 = 8, d2 = 6 Dl.O(d1) = 259265536 Dl.O(d2) = 256824658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367663, s2 = 11053222, dlinesl.size( ) = 8 s1 = 11367697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367697, s2 = 11206128, int(edited[s2]) = 0 s1 = 11367697, s2 = 11206128, d1 = 23, d2 = 22 Dl.O(d1) = 263334865,197243911,203804995 Dl.O(d2) = 255957639,16808656,16808657,23055049,30463248,30026528,30026530,37273409,37273408,44597502,35216659,27123826,20219821,20219822,26324991,26324992,34197768,42024467,42024468,39725504,39725505,258859339,70511081,57809819,57809818,57809817,256281946,255794483,255006695,4279638,6822086,10358028,12662511,268647676,257101459,61991216,74787636,259541259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367697, s2 = 11206128, dlinesl.size( ) = 30 s1 = 11367701, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13687300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13687396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13687396, s2 = 5466678, int(edited[s2]) = 0 s1 = 13687396, s2 = 5466678, d1 = 37, d2 = 13 Dl.O(d1) = 71115439,58397515,47025521,47025522,58397518,71115441,61935578,61935579,74729036,88357238,102353350,116446362,130283221,119724479,119724480,261963567,159229940,146856418,261661446,133598703,130283228,130283226,143610596,133598809,133598805,133598804,146856248,159229789,170567598,170567610,167746851,167746849,159229740,146856203,146856206,159229746,159229813,146856269,133598640,119724361,119724360,119724312,119724313,133598592,130283199,130283198,143610553,130283203,130283202,143610562,146856427,146856426,143610592,130283219,130283217,143610588,133598766,133598765,146856396,146856392,146856393,159229923,156144770,143610579,143610580,156144774,146856291,133598671,133598668,133598687,133598686,261963557,159229735,159229789,170567598,170567610,167746851,167746849,159229740,146856203,146856206,159229746,159229813,146856269,133598640,119724361,119724360,119724312,119724313,133598592,130283199,130283198,143610553,130283203,130283202,143610562,146856427,146856426,143610592,130283219,130283217,143610587,156144783,273102968,262662138,170567594,159229787,262463195,170567634,159229847,262179772,143610570,261661438,261661434,133598642,133598641,146856271,261110886,119724399,105485114,91262545,77342514,77342513,91262543,105485109,119724390,133598678,261963553,170567604,159229794,146856251,146856252,159229797,170567606,170567615,262662150,167746846,261661432,146856271,261110886,119724399,105485114,91262545,77342514,77342513,91262543,105485109,119724390,133598678,261963553,170567604,159229794,146856251,146856252,159229797,170567606,170567615,159229875,146856329,133598701,133598699,133598704,130283228,130283226,143610596,133598809,133598805,133598804,146856248,159229789,170567598,170567610,167746851,167746849,159229740,146856203,146856206,159229746,159229813,146856269,133598640,119724361,119724360,119724312,119724313,133598592,130283199,130283198,143610553,130283203,130283202,143610562,146856427,146856426,143610592,130283219,130283217,143610588,133598766,119724446,119724447,133598767,146856399,146856197,133598584,119724310,119724309,119724384,119724385,133598673,261661434,133598642,133598641,146856271,261110886,119724399,119724401,261427365,159229732,146856197,146856196,146856356,143610568,130283207,116446355,102353346,88357235,74729035,74729036,88357237,102353348,116446358,130283211,143610571,146856195,260532920,119724308,133598583,119724384,119724385,133598673,261661434,133598642,133598641,146856271,261110886,119724399,105485114,91262545,77342514,77342513,91262543,105485109,119724390,133598679,261963555,159229953,146856441,146856254,146856253,262463197,159229860,156144786,146856430,260532942,119724470,133598796,146856370,133598745,261427369,159229903,159229768,159229769,156144781,143610585,130283216,260286150,102353348,116446359,130283213,143610580,156144774,146856291,133598671,119724383,105485104,105485102,119724378,133598666,119724392,119724390,133598678,261963553,170567604,159229794,146856251,146856252,159229797,170567606,170567615,159229875,146856329,133598701,133598699,133598706,133598707,146856331,133598785,133598784,146856232,133598611,133598610,261963543,170567584,262662144,159229823,159229822,170567565,159229734,146856333,133598710,133598711,146856334,159229879,262923365,189596895,180699141,180699140,178200068,167746856,167746854,156144769,143610579,143610580,156144774,146856291,133598671,119724383,105485104,105485102,119724378,133598666,119724392,119724390,133598679,261963555,159229953,146856441,146856254,146856253,262463197,159229860,156144786,146856430,260532942,119724470,133598796,146856370,133598745,261427369,159229903,170567587,159229913,146856379,133598752,119724440,105485142,105485143,119724442,133598756,146856385,159229762,159229937,159229941,159229819,146856285,146856284,146856367,133598744,261427369,159229903,159229768,159229769,156144781,156144780,159229765,159229764,146856340,133598714,119724416,119724417,133598717,272836596,272184354,133598758,261110890,119724453,119724452,119724461,119724460,119724349,119724348,133598626,146856252,159229797,170567606,170567615,159229875,146856329,133598701,133598699,133598704,130283228,130283226,143610596,133598809,133598808,261963565,262179776,159229815,159229814,170567560,180699092,262662152,261661450,146856374,261661448,133598733,133598735,143610568,130283207,116446355,102353346,260152113,130283202,143610562,146856427,146856426,143610592,130283219,130283217,143610588,133598766,133598765,146856396,146856392,146856393,159229923,156144770,143610579,143610580,156144774,146856291,133598671,119724383,105485104,105485102,119724378,119724393,261427363,159229726,159229725,159229727,170567560,180699092,262662152,170567677,170567679,159229910 Dl.O(d2) = 225439483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13687396, s2 = 5466678, dlinesl.size( ) = 2 s1 = 13687396, s2 = 5466678, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 13687396, Dl.E( ) = 38, 1.62e-05 seconds used appending s1 = 11368169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368169, s2 = 11229542, int(edited[s2]) = 0 s1 = 11368169, s2 = 11229542, d1 = 11, d2 = 0 Dl.O(d1) = 260863345 Dl.O(d2) = 64254465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368169, s2 = 11229542, dlinesl.size( ) = 12 s1 = 9204476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9204476, s2 = 6726404, int(edited[s2]) = 0 s1 = 9204476, s2 = 6726404, d1 = 23, d2 = 14 Dl.O(d1) = 259652000,172536179,182474484,191167066,182474486,172536180,172536179,182474485,261968430,204990714,204990715,204990713,204990714,204990715,198650187,198650186,261968428,191167066,182474486,172536180,172536179,182474485,191167067,198650185,195105809,187026092,187026093,195105817,195105811,195105810,202018836,202018840,202018841,207833168 Dl.O(d2) = 257765720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9204476, s2 = 6726404, dlinesl.size( ) = 12 s1 = 11368237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368237, s2 = 11456384, int(edited[s2]) = 0 s1 = 11368237, s2 = 11456384, d1 = 25, d2 = 17 Dl.O(d1) = 260864804,52418519,256638833,25388802,25388801,22552285,16375511,16375512,255917947,22763358,30150934,30151993,22764217,16550985,11536026,7674632,7674634,255111433,258791713,71954598,259355785,113500661,262216699 Dl.O(d2) = 263620775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368237, s2 = 11456384, dlinesl.size( ) = 20 s1 = 11368409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11368587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368587, s2 = 10681293, int(edited[s2]) = 0 s1 = 11368587, s2 = 10681293, d1 = 9, d2 = 12 Dl.O(d1) = 261747194 Dl.O(d2) = 255229987,256084849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368587, s2 = 10681293, dlinesl.size( ) = 18 s1 = 11368629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368629, s2 = 11481830, int(edited[s2]) = 0 s1 = 11368629, s2 = 11481830, d1 = 12, d2 = 1 Dl.O(d1) = 272595462,189826602,197487346,273926879,211041873,205955243,199803281,192526236,263830793 Dl.O(d2) = 205955243,199803281,192526236,184070889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368629, s2 = 11481830, dlinesl.size( ) = 8 s1 = 8559004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8559004, s2 = 11550326, int(edited[s2]) = 0 s1 = 8559004, s2 = 11550326, d1 = 33, d2 = 67 Dl.O(d1) = 158671660 Dl.O(d2) = 226598658,224508364,222102404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8559004, s2 = 11550326, dlinesl.size( ) = 32 s1 = 11368827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368827, s2 = 11027564, int(edited[s2]) = 0 s1 = 11368827, s2 = 11027564, d1 = 2, d2 = 18 Dl.O(d1) = 147176708 Dl.O(d2) = 271046039,42294376,33314068,33314069,42294378,52680945,64581440,52912351,42502999,42502996,42502995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368827, s2 = 11027564, dlinesl.size( ) = 20 s1 = 11368895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368895, s2 = 10706855, int(edited[s2]) = 0 s1 = 11368895, s2 = 10706855, d1 = 14, d2 = 32 Dl.O(d1) = 262480493 Dl.O(d2) = 263829546,262618718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368895, s2 = 10706855, dlinesl.size( ) = 32 s1 = 11369179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15284710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15284710, s2 = 11369180, int(edited[s2]) = 0 s1 = 15284710, s2 = 11369180, d1 = 6, d2 = 5 Dl.O(d1) = 39890186,31212410,23727199,23727198,31212408,39728425,31049552,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668597,17885674,24263923,18500664,15170651,15170650,21116968,28326913,36535509,29753349,22392895,16233267,11285506,11285507,16233269,22392899,29753353,38322883,46706273,37332065,28794632,21529548,17136619,17136618,23411780 Dl.O(d2) = 39445970,49374395,60775953,270360509,87143002,271372855,129147884,142523812,155166998,166858961,166858962,170930565,181045145,189918384,197569249,201777534,194834569,186721333,262485086,261452686,159606092,262485084,177405799,181457201,260886064,147969540,259048858,121048061,106792534,92485344,92485345,92485346,78448123,65165253,53180568,42731162,33701322,25895223,19235313,13742662,9415701,6169126,267749264,1341551,766156,766158,1341564,1362558,1341716,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,2312836,3822065,6108133,254082860,13742349,19234894,254206884,11106604,7366324,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14244767,9792240,8155592,8155594,12123926,9791199,6436912,6436911,9595816,9595817,9783307,14231730,19864259,26682537,34676138,31369270,23874445,18729523,13333261,9110134,5960881,3727691,2231814,1294302,1294301,254297397,5960873,9110112,13333221,18729465,25304871,28649604,26980085,26704016,26704017,30283736,28917648,256145186,34004682,26162910,26162909,19870776,15743493,15743494,14243287,14243286,14236683,9786799,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,15481062,10705452,7072676,7072674,254409500,17524187,13900481,9539150,6258082,3917705,2345088,2312790,1341697,1341699,1362524,1362522,1341718,1341720,1362538,776575,774492,774487,1358676,2345523,3917795,6200614,9457176,13792172,19291286,21733835,15685556,10858727,10858726,15685554,21733832,29023159,37501580,29047173,21753806,15700171,10868620,10868621,15700173,21753809,17864140,12650559,8589193,8589192,12650557,17864132,24239602,255201098,40445040,50481339,58858254,58858503,47475543,37569689,29023192,21733853,15686356,15686357,21735046,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,21750328,21750325,24235373,29688124,22335586,16188031,11252414,11252417,16188044,22335520,29688009,33153260,33153926,25412750,25412749,33153919,42108462,52461069,50482746,40446397,40446396,50482740,61974922,71583440,71598159,71595438,58874185,58874184,71595437,61974138,61974139,61540626,61540625,58848810,47463988,47463989,50545175,40509484,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071113,17167582,23441421,21741807,15691283,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697435,21750415,29040616,21748111,21748110,24229110,31737999,40432156,37247386,29614654,22263725,22263726,29614659,38181638,48093350,47475386,47475385,58858332,47482897,37577165,37577164,47482892,58864910,60210357,48814108,47475251,37569444,29022936,29022937,37569450,31746214,24235559,17861084,12648346,12648344,12648353,12648355,17861098,24235593,31746262,40440828,31749807,24238575,24238574,31740128,40434449,256043526,73432548,74771328,257494436,33862144,26040285,22566265,22566266,255856290,38519883,48427516,49818906,39798293,31117735,31117736,31117312,31117313,23631238,17315226,12190549,8220682,5290546,5290545,8220677,12190534,16656939,11624536,7891014,7891013,11812720,12196022,12196019,11425030,7594633,7594632,11425027,16408705,22591338,23143205,30560195,31112104,39157344,39157343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15284710, s2 = 11369180, dlinesl.size( ) = 2 s1 = 15284710, s2 = 11369180, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15284710, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11369187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369187, s2 = 11499850, int(edited[s2]) = 0 s1 = 11369187, s2 = 11499850, d1 = 6, d2 = 13 Dl.O(d1) = 259732954 Dl.O(d2) = 265481717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369187, s2 = 11499850, dlinesl.size( ) = 20 s1 = 11369443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369443, s2 = 3739602, int(edited[s2]) = 0 s1 = 11369443, s2 = 3739602, d1 = 38, d2 = 44 Dl.O(d1) = 259683148 Dl.O(d2) = 129704714,143035750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369443, s2 = 3739602, dlinesl.size( ) = 8 s1 = 7699175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7699175, s2 = 5393773, int(edited[s2]) = 0 s1 = 7699175, s2 = 5393773, d1 = 151, d2 = 87 Dl.O(d1) = 272993622,184100845,184100844,192553621,199827683 Dl.O(d2) = 223111680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7699175, s2 = 5393773, dlinesl.size( ) = 96 s1 = 11369487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369487, s2 = 11422380, int(edited[s2]) = 0 s1 = 11369487, s2 = 11422380, d1 = 29, d2 = 8 Dl.O(d1) = 159774297,171080409,181173229,190027224,262918720,204164405,197663344,197663343,197663344,262918722,197663346,204164408,204164403,204164402,209587106,209587110,204164406 Dl.O(d2) = 194326844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369487, s2 = 11422380, dlinesl.size( ) = 8 s1 = 11369579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11369725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369725, s2 = 11403922, int(edited[s2]) = 0 s1 = 11369725, s2 = 11403922, d1 = 7, d2 = 8 Dl.O(d1) = 264375013 Dl.O(d2) = 273881198,263600806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369725, s2 = 11403922, dlinesl.size( ) = 16 s1 = 10894536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11369913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369913, s2 = 11443690, int(edited[s2]) = 0 s1 = 11369913, s2 = 11443690, d1 = 8, d2 = 7 Dl.O(d1) = 261940884 Dl.O(d2) = 197834813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369913, s2 = 11443690, dlinesl.size( ) = 12 s1 = 11369925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369925, s2 = 11434664, int(edited[s2]) = 0 s1 = 11369925, s2 = 11434664, d1 = 11, d2 = 13 Dl.O(d1) = 262178070,147965258,134844085,134844071,121044610,121044609,126477485,112609104,98614054,84689467,71125138 Dl.O(d2) = 42727261,53176824,65161661,78444574,78444575,92481928,106789290,121044613,134844074,147965256,160216691,171436270,181454167,190247995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369925, s2 = 11434664, dlinesl.size( ) = 2 s1 = 11369925, s2 = 11434664, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11369925, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11370009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370009, s2 = 11101896, int(edited[s2]) = 0 s1 = 11370009, s2 = 11101896, d1 = 38, d2 = 37 Dl.O(d1) = 270017714 Dl.O(d2) = 254114333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370009, s2 = 11101896, dlinesl.size( ) = 44 s1 = 11370017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370017, s2 = 11218762, int(edited[s2]) = 0 s1 = 11370017, s2 = 11218762, d1 = 42, d2 = 3 Dl.O(d1) = 259680550,258426584,39815841,31133263,23645569,23645571,23645620,17328750 Dl.O(d2) = 21319689,25696618,19071163,13615066,13615065,255680955,13615084,9322746,6106848,6106849,9322748,13615090,16169880,16169879,22314926,22314940,22314939,29666717,22807076,19071054,13615008,12925854,8793158,8793159,12594841,17597715,17597716,23942263,258889967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370017, s2 = 11218762, dlinesl.size( ) = 18 s1 = 11370095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11370113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370113, s2 = 11366198, int(edited[s2]) = 0 s1 = 11370113, s2 = 11366198, d1 = 21, d2 = 16 Dl.O(d1) = 273012387 Dl.O(d2) = 263682840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370113, s2 = 11366198, dlinesl.size( ) = 32 s1 = 15165773, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11370261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8585045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8585045, s2 = 11569002, int(edited[s2]) = 0 s1 = 8585045, s2 = 11569002, d1 = 68, d2 = 81 Dl.O(d1) = 87160773,101158798,115236276,129167469 Dl.O(d2) = 219656201,222415591,224784025,226839669,228631978,266017981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8585045, s2 = 11569002, dlinesl.size( ) = 66 s1 = 11370951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11370993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370993, s2 = 11075508, int(edited[s2]) = 0 s1 = 11370993, s2 = 11075508, d1 = 34, d2 = 81 Dl.O(d1) = 161470829 Dl.O(d2) = 72861616,256373786,11588255,16613829,15894136,11018327,255067253,21991674,29320509,37888839,33471524,25698360,25698359,255744490,39737506,40448715,40448717,40450257,31755361,26890816,25698691,25698693,25704212,32840293,25135089,18581272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370993, s2 = 11075508, dlinesl.size( ) = 80 s1 = 11371079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371079, s2 = 13264820, int(edited[s2]) = 0 s1 = 11371079, s2 = 13264820, d1 = 5, d2 = 4 Dl.O(d1) = 259066162,107781556,257687968,61372867,49892425,39870285,31187709,31187708,26376903,19643378,19643377,26376901,34254172,43354151,49937131,40856770,40856771,49205200,256474401,23265129,23265130,30681820,39278715,49205207,48738817,48738818,49205204,41404366,32546477,24897426,24897427,28891875,37433395,41910721,32971283,25249022,25249024,32971287,41910726,40856772,40856773,41910714,49321129,39393041,30790417,30790416,32184753,32085353,24511457,255215883,12819361,18081973,24511452,32085347,40856801,41404354,41404353,49320675,49320672,49321366,49208049,49208051,269332094,256912964,30684748,23267809,17003886,11916826,7971639,7971640,11916828,17003889,23267816,30684757,39281710,49208076,41565714,255505436,13122984,8944442,8944438,13122968,14652300,20416307,18300912,12990331,8843447 Dl.O(d2) = 9713654,9713659,14118688,9714069,7267232,7267229,10979472,15843652,21930716,21930715,29251529,22206419,16076191,16076190,22206416,25307952,19164742,13685272,13685276,10355721,6819894,4278132,2557848,2557846,4278121,6819862,10355653,15027877,20936041,22606431,16423397,16423393,20922367,15015176,15015174,20922358,26024720,19348481,19348480,26024715,25431017,20922402,15015190,15015187,20922390,25430617,25428719,18835060,13421203,9298098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371079, s2 = 13264820, dlinesl.size( ) = 12 s1 = 13264819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13264819, s2 = 11371080, int(edited[s2]) = 0 s1 = 13264819, s2 = 11371080, d1 = 6, d2 = 4 Dl.O(d1) = 5669782,3526905,3526903,5669773,5838462,3643734,2178240,2178243,3643747,5838487,3644164,3644163,5669454,5669469,3526738,3526740,5669476,5670276,5670279,8710388,12810844,8710286,5670229,5670226,8710276,11289788,11289785,13704892,15082793,10403240,6857678,6857620,6857617,4911993,2960745,1716838,975535,975536,1716841,2960751,4912005,7756022,7756640,7756639,11642991,8718646,5675092,5675096,6537003,5675002 Dl.O(d2) = 3529697,3529703,5674933,8718294,5840626,5840621,8948062,8948151,8947204,5840152,254624101,3527187,2099268,2099265,3527200,4911948,7755883,11641743,7755927,4911968,4911972,7755942,255505437,30310167,25328628,18749341,18749340,25328626,33057343,41999926,33056599,25327973,25327972,33056597,29278704,29278705,256912965,269332095,29278604,21954352,15863058,10994826,7278400,7278399,10994824,15863054,21954344,23204832,25328356,25328355,255215882,18749161,13348431,9121140,5968422,5968423,9121144,13348438,18749174,25328097,18748933,13348418,13348419,18749141,19203466,19203467,15609145,10799185,7135242,7135243,10799189,15609152,21640901,28915209,31405194,31405193,40085634,50106229,40501112,31805951,31805950,256474400,29170718,21861105,15788657,15788659,21861109,28915184,24291263,17909512,12688107,8618907,5603236,5603237,8618908,12688094,17909490,257687969,65060382,259066163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13264819, s2 = 11371080, dlinesl.size( ) = 8 s1 = 8633764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16317337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16317337, s2 = 16071374, int(edited[s2]) = 0 s1 = 16317337, s2 = 16071374, d1 = 49, d2 = 58 Dl.O(d1) = 26227056,19512013,254952091,6295458,6295457,9590016,7044216,4433179,4433184,7044230,9997435,9997434,14529028,20246976,27158674,35257677,31166899,23678675,17358536,12228691,12228692,12228650,12228647,16141549,16782404,23023532,20063366,20063234,14379091,9885083,6494923,6494922,9885073,14379077,9885171,9885170,14379231,20063466,23398677,23398678,25291617,20987647,15074859,15074861,16782112,23023129,23678976,17358710,12228781,8256565,8256562,10915131,15760659,16048808,16048809,17126630,18102147,18102146,22649667,23678558,17358439,17358438,23678549,29515072,22173553,16049160,12228674,12228672,17358506,18218615,22173487,29514992,22173448,16049140,11143821,11143822,16049145,20063229,26948130,28167363,36642369,46509677,38079286,29514647,22173091,18218623,12922195,11143806,7391543,4669764,2813469,1632271,1632272,2813471,4669768,7391556,11143777,11143779,16049074,22173453,18629292,18629291,22173167,29514725,29514812,254881010,268452021,17941451,24329689,268134200,16048895,11143660,7391464,7391463,11143657,16048892,22173225,29514787,24392132,267855452,18650447,25216390,32896908,32896909,31925101,24392124,24392123,31925098,32229457,24632743,24632745,32229460,41020908,38983114,30395653,30395654,32180910,32180911,30392268,22988930,16752287,16752288,22990805,30394316,38981777,32926998,25211395,25211397,32927002,38979436,38979438,38983111,30395649,22992050,22992048,30392260,22988924,16750622,16750621,22988919,18147860,18147858,24594077,32180877,40640822,31925109,31925110,32008329,255232576,50879809,62479111,75396567,258355480,103232752,117362012,131165347 Dl.O(d2) = 183067495,191676021,199078698,205340739,210524783,210524785,205340747,262814636,183067502,262343138,183067502,173216876,162117153,149905487,136764841,122933815,108669498,258885006,108669493,122933810,122933811,259508828,136764837,260159464,138782658,258920202,111651248,125453797,114048443,100020987,86057731,72459380,72459379,86057730,100020986,100020990,257498722,59723600,48339065,38435327,29876302,29876301,38435326,48339063,256001146,49848599,254840270,38888828,38888827,38888830,30302697,22903690,16672490,16672489,22903689,21100843,15156921,15156922,21100844,28310961,36807765,46691552,41469694,32592639,24930983,18419673,13083381,8915598,5818257,254293011,1254613,1202659,1202658,1197033,1197036,1196821,1196824,674063,674064,1196980,2081833,3502404,3562905,2167699,1254584,1254587,2079889,3499629,5631665,8657831,12740474,17482953,12326860,10284133,6759602,4235915,4235914,3467303,2055962,2055963,3467304,5588892,8600771,255203005,24258873,31771115,40465968,50502071,61994060,74790637,88422827,102424210,116521060,130359255,143685566,156215977,167810485,178253525,187468317,195487130,202345127,208110698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16317337, s2 = 16071374, dlinesl.size( ) = 2 s1 = 16317337, s2 = 16071374, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16317337, Dl.E( ) = 60, 2.1e-05 seconds used appending s1 = 11371197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371197, s2 = 11178714, int(edited[s2]) = 0 s1 = 11371197, s2 = 11178714, d1 = 5, d2 = 1 Dl.O(d1) = 149437823 Dl.O(d2) = 79268471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371197, s2 = 11178714, dlinesl.size( ) = 10 s1 = 11371457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371457, s2 = 12245582, int(edited[s2]) = 0 s1 = 11371457, s2 = 12245582, d1 = 53, d2 = 15 Dl.O(d1) = 261847758 Dl.O(d2) = 194664699,199841488,205988641,201641730,194664713,263947669,264191570,263114668,262192134,128913701,260547038,39289634,269319324,28221676,21026523,21026524,15495887,10716359,10716360,15495894,19455582,13923059,13923058,19455575,17305861,12182909,12182910,17305867,23620356,23339040,23339041,30761896,34978228,29960478,28221663,21026512,15102495,15102496,21026519,20103661,20103660,26994344,25556987,18943852,13507262,9241754,6052802,6052804,9241760,13507275,18943881,23031800,30438564,29812131,29812129,32726544,25039208,18505155,18505156,25039212,27010754,21668160,21668159,28947618,29186201,21874748,21874747,28221744,21026564,21026565,28221746,36714493,46602666,47669163,37907917,37907912,29602517,29602516,22444883,16275814,16275813,22444880,29812137,38383997,29811693,29811694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371457, s2 = 12245582, dlinesl.size( ) = 48 s1 = 11928166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14701256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6984343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6984343, s2 = 7279932, int(edited[s2]) = 0 s1 = 6984343, s2 = 7279932, d1 = 86, d2 = 99 Dl.O(d1) = 260971409 Dl.O(d2) = 264918581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6984343, s2 = 7279932, dlinesl.size( ) = 30 s1 = 11372039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372039, s2 = 11003134, int(edited[s2]) = 0 s1 = 11372039, s2 = 11003134, d1 = 7, d2 = 12 Dl.O(d1) = 258006396 Dl.O(d2) = 257395708,80391917,255366278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372039, s2 = 11003134, dlinesl.size( ) = 18 s1 = 11372305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372569, s2 = 14047118, int(edited[s2]) = 0 s1 = 11372569, s2 = 14047118, d1 = 5, d2 = 17 Dl.O(d1) = 260992151,109429882,123623396,120225917,106024365 Dl.O(d2) = 263358921,181070434,262960318,260887263,259676843,77909578,257807113,269514851,42732364,33702784,25896632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372569, s2 = 14047118, dlinesl.size( ) = 2 s1 = 11372569, s2 = 14047118, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11372569, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11372671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372671, s2 = 14208376, int(edited[s2]) = 0 s1 = 11372671, s2 = 14208376, d1 = 0, d2 = 14 Dl.O(d1) = 162549300 Dl.O(d2) = 273960345,205535861,210691104,209450839,204009420,263159558,180941413,170815052,159478012,261730118,153856439,147104890,133862205,133862204,260604952,119997039,105764194,91542333,257528974,52569853,42209395,268226378,20924548,20924550,256818275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372671, s2 = 14208376, dlinesl.size( ) = 16 s1 = 11372725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372725, s2 = 11463666, int(edited[s2]) = 0 s1 = 11372725, s2 = 11463666, d1 = 1, d2 = 9 Dl.O(d1) = 162559539 Dl.O(d2) = 263179687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372725, s2 = 11463666, dlinesl.size( ) = 14 s1 = 11372813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372813, s2 = 14343775, int(edited[s2]) = 0 s1 = 11372813, s2 = 14343775, d1 = 17, d2 = 11 Dl.O(d1) = 150446054,137407030,137407029 Dl.O(d2) = 9955480,6543119,4099287,4099288,267893833,6542875,6542943,4905687,4099201,4099204,4796712,7583588,10518047,11619443,14575668,16407222,11628874,7746373,7746370,8729872,8729870,12837791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372813, s2 = 14343775, dlinesl.size( ) = 2 s1 = 11372813, s2 = 14343775, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11372813, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11373159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373159, s2 = 10595833, int(edited[s2]) = 0 s1 = 11373159, s2 = 10595833, d1 = 18, d2 = 2 Dl.O(d1) = 150583222,137578477,123890655,261005985,150583219 Dl.O(d2) = 192033621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373159, s2 = 10595833, dlinesl.size( ) = 22 s1 = 3224743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3224743, s2 = 9037005, int(edited[s2]) = 0 s1 = 3224743, s2 = 9037005, d1 = 68, d2 = 55 Dl.O(d1) = 261372785,117949792,103804867,89701093,89701092,103804864,117949642,114583472,100552547,86590782,72993026,60257234,48864149,48864150,60257218,72992985,84900995,71327782,71327781,84900993,98827508,86590052,72992621,60257040,60257043,72992631,86590034,86590130,86590129,100551453,100551362,100551365,112691772,112691776,126554581,126554704,126554705,126554724,128468103,128468106,135537623,260833482,131775982,131775983,260528747,101555530,87593070,87593072,101555542,115591874,129476875,135957497,261457083,134124288 Dl.O(d2) = 259432429,114582312,128467356,260349691,107655388,122029645,117949792,103804867,89701093,89701092,103804864,117949642,114583462,114583466,128468751,141821811,145033758,135957423,122030221,107655751,93253015,79137866,65783427,53726979,43215054,43215053,53726977,65783424,79137861,93253000,107655728,107655696,260349743,135957281,149180835,141821874,128468795,260079562,86590402,86590403,100551861,105986705,91792012,91792011,91792066,77869425,64679520,64679521,77869426,91791857,260349693,93252781,79137719,65783333,65783331,79137716,93252775,107655384,122029644,114583717,100551982,86590465,72992866,60257177,48864128,38944355,38944354,48864124,60257172,72992857,81081286,81081287,259784861,123584897,126191784,139567094,136357650,122373298,122373299,136357653,149623664,136855462,136855463,149989324,161900652,260758256,260758254,161900651,161900652,261328676,112691749,112691748,126554535,260989265,120186958,261771841,128467648,114582523,114582522,114582934,114582936,128468202,261771905,141822262,261451547,120186959,105986632,91791966,91791965,260289829,261451545,129476876,129476877,142798305,261870230,141959868,136332583,136332585,149180125,139919224,139919227,126556041,116544241,116544240,116544243,128598701,114701925 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373363, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11373573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373573, s2 = 14188979, int(edited[s2]) = 0 s1 = 11373573, s2 = 14188979, d1 = 18, d2 = 21 Dl.O(d1) = 260536404,110811497,258689110,69255518,68636151,56154722,45145642,35629850,27437059,20716494,14851114,14851113,14868324,14868322,14617028,10057272,10057269,6679458,6679462,6664163,6664160,6611578,4182682 Dl.O(d2) = 72528495,255872420,29938683,22575683,16392702,11409005,11409004,16392701,22575682,29242708,33849300,26028535,26028536,33849303,42893888,37211625,28687251,21437145,21437147,21107366,21107368,28317713,36813975,46696937,255388212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373573, s2 = 14188979, dlinesl.size( ) = 2 s1 = 11373573, s2 = 14188979, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11373573, Dl.E( ) = 40, 1.91e-05 seconds used appending s1 = 11373711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373711, s2 = 7278331, int(edited[s2]) = 0 s1 = 11373711, s2 = 7278331, d1 = 20, d2 = 22 Dl.O(d1) = 261044329,97699089,258618133,57626743,257383551,27971068,256429198 Dl.O(d2) = 24376984,31908478,269013845,260168683,261877301,261930750,31830391,24312522,17927234,17927231,24312516,31830387,33774869,34319394,38230557,29664286,29664285,26329573,26329571,24577443,24577444,32162449,32162448,257130885,62714805,75660797,89424219,260195507,131458984,261900766,264892315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373711, s2 = 7278331, dlinesl.size( ) = 20 s1 = 11373747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373747, s2 = 14901650, int(edited[s2]) = 0 s1 = 11373747, s2 = 14901650, d1 = 13, d2 = 5 Dl.O(d1) = 163350669,273314205,272723389,33584044,255686443,254937027,3835750,6130990,9360257,13668897,19143468,257226805 Dl.O(d2) = 270361518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373747, s2 = 14901650, dlinesl.size( ) = 14 s1 = 11373879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373879, s2 = 12296459, int(edited[s2]) = 0 s1 = 11373879, s2 = 12296459, d1 = 7, d2 = 7 Dl.O(d1) = 156157855,156157856,261320762,143623565,143623572,130295448,116458037,102364675,88367698,74738716,258290966,101919272 Dl.O(d2) = 156157855,156157856,261320762,143623565,143623572,130295448,116458037,102364675,88367698,74738716,258290966,101919272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373879, s2 = 12296459, dlinesl.size( ) = 2 s1 = 11373879, s2 = 12296459, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11373879, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10856997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10856997, s2 = 9113092, int(edited[s2]) = 0 s1 = 10856997, s2 = 9113092, d1 = 18, d2 = 17 Dl.O(d1) = 200724043,200724044,206721615,206721614,206721613,211676601,211676593,263326680,200724031,206721605,203349247,203349246,200724040,193615720,193615721,273711903,185321036,193615725,200724046,199792006,199792005,205944943,205944941,199792004,199792003,262910406,262449002,158410518,261403175,132801323,262441367,158410521,262903365,185321037,175812136,272362698,153265667,140584935,127240528,127240529,260247646,165082811,261948666,158410526,261403177,271968685,104777217,104777216,118969206,132801322,146033004,158410516,262903361,272356195,104777221,258993925,76738848,258993923,76738843,259621093,90605261,90605265,76738850,257752919,41566265,257164647,63647073,76738847,259621097,90605264,76738866,63647083,257164649,32672619,41566276,51853809,51853804,41566272,41566273,41566268,32672614,32672613,41566267,51853798,63647077,76738860,63647085,63647082,51853805,41566274,41566275,51853806,51853796,257752921,76738855,90605270,104777229,259621099,90605275,104777237,90605279,76738863,76738864,76738862,258993929,90605267,104777224,118969210,132801325,273098072,272527576,271882389,102490016,102490015,116591925,102490013,260161147,88483151,74847330,62049080,50556456,40519990,31822943,31822942,40519983,31822939,268265043,12698408,12698409,17922233,24306263,256557723,50556460,62049084,269777198,50533752,40498468,31803362,31803363,40498470,50533755,62025546,258919573,258298721,62049095,62049088,50556465,50556464,62049086,74847334,74847338,88483161,102489999,116591944,130434207,143761076,143761079,156285959,262376189,143761083,143761082,156285963,167869959,178301222,272915323,156285958,262253754,273588309,178301226,187506605,263166652,167869956,167869955,178301228,184931143,184931141,175382022,175382021,175382029,178301230,262253756,184931146,272564472,187506607,187506606,184931144,175382037,175382039,261192152,152786496,140096023,140096024,152786497,164621544,164621560,164621557,152786507,152786505,152786506,164621550,259396990,126748439,112896729,112896730,126748441,140096026,260015000,152786510,140096038,126748453,112896739,98909182,84983850,71409901,71409900,269816134,140096031,152786503,164621552,152786516,140096044,140096043,140096059,258148014,98909189,98909188,84983853,71409904,58675852,58675853,256416216,58675861,58675860,268408050,47284582,268228784,256416212,84983854,71409905,71409906,71409919,58675863,47284588,37375020,28834974,254358966,10748911,10748912,15542126,21563830,28834978,37375025,47284579,37375015,37375016,47284581,255918892,47284585,47284586,58675859,58675856,255098866,21563829,21563828,28834976,37375022,268641054,98909196,257538974,84983845,71409899,71409898,71409914,71409913,84983857,71409921,58675864,255918898,270815893,78685724,65381102,53377134,256958708,71409909,71409908,256958706,57754454,46403535,36542223,36542222,46403534,269763759,83977569,97839695,111765488,269816136,258148016,70449598,258679440,257444434,46403536,57754456,70449590,70449591,259255461,83977577,70449597,70449596,83977574,89606627,89606628,83977581,258055106,46403540,256324564,28074623,36542225,269781566,83977578,259874269,83977571,83977572,97839697,111765490,125574728,119694433,105456434,91235035,77315785,77315784,91235033,105456432,269769914,84237734,84237735,98132608,103295054,89606626,258335551,62860540,258961131,63911309,52092758,41779554,32859110,256622653,254908395,255245477,13214577,256108029,269069161,63911316,260847313 Dl.O(d2) = 259580242,51087099,51087098,52250703,41912918,39049873,30460263,25071266,22330835,16184510,11250063,11250066,10482978,8255138,5325498,5325493,6910658,6910656,9977413,9977414,14499832,17516448,17516280,17516277,21810018,21810015,23859685,23859683,25960795,21154327,21154326,17516346,17516345,21149814,25256005,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,23801496,17468594,12315657,8318821,8318822,12315659,17468600,23801503,30644143,28367802,256300927,38041533,29478470,29478469,28366286,28366287,36864439,29478605,29478604,256012167,21151696,15197129,11861775,11861774,9460012,6202700,6202699,9460008,6910978,6910981,10482150,14474753,20174439,27069304,30645252,23222893,16949751,11862647,11862646,16949747,17355919,255970301,16949099,254999091,10290183,12226254,8254769,8254770,7926979,7926978,9340547,6118223,6118224,9340551,13640274,16950545,13640379,13640378,19104713,23220079,30643071,23222414,19104709,13640368,13640367,19104706,25737724,30645600,23223332,16950163,11862935,7928123,7928124,11862939,11861650,11861649,16945379,11859841,11859842,16945382,18442768,24960729,32629430,26401543,26401542,256067970,53899212,255801800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10856997, s2 = 9113092, dlinesl.size( ) = 14 s1 = 13642321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11374737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11374737, s2 = 14147236, int(edited[s2]) = 0 s1 = 11374737, s2 = 14147236, d1 = 1, d2 = 16 Dl.O(d1) = 163849057 Dl.O(d2) = 199951260,199951261,206069712,211127703,215264201,218675537,265353789,226155444,226155441,224017065,221550397,264784522,264947463,265013072,218675535,221550400,221550397,264784522,211127702,211127703,215264201,218675536,221550401,224017067,274549539,266130732,265879762,228016707,265835401,231099807,266206019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11374737, s2 = 14147236, dlinesl.size( ) = 14 s1 = 11374765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11374765, s2 = 11538138, int(edited[s2]) = 0 s1 = 11374765, s2 = 11538138, d1 = 0, d2 = 5 Dl.O(d1) = 163858773 Dl.O(d2) = 215267622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11374765, s2 = 11538138, dlinesl.size( ) = 14 s1 = 11374837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11374837, s2 = 11688500, int(edited[s2]) = 0 s1 = 11374837, s2 = 11688500, d1 = 14, d2 = 9 Dl.O(d1) = 152007877,139300903,125951857,112118386,98159199,84265536,258020681,46622069,36733904,28239118,21040593,15113014,10424359,6872810,6872813,8718448,5675003 Dl.O(d2) = 3529697,3529703,5674933,8718294,5840626,3644846,3644848,5840631,5671619,3527823,3527829,2178058,1262264,719138,719136,1262254,2178039,3643333,5322378,3271023,3271020,5322368,5670439,3527207,2099270,1208654,1208653,2099265,3527200,4911948,7755883,11641743,7755927,4911968,4911972,7755942,11641529,12809799,18068270,24493190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11374837, s2 = 11688500, dlinesl.size( ) = 12 s1 = 6952742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11375173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375173, s2 = 14013442, int(edited[s2]) = 0 s1 = 11375173, s2 = 14013442, d1 = 8, d2 = 11 Dl.O(d1) = 259265267,97962466,97962467,111899982,125717328,120285994,120285995,125717367,125717366,133463529,125717310,111899814,111899815,106085565,91890329,91890330,106085568,120285967,134116945,147328830,139056394,125717470,111899968,111899970,125717474,272166713,151758303,163633458,163633381,151758206,139056265,125717308,111899811,111899812,120285989,106085585,106085584,120285987,125717363,261065277,150660225,261456366,129763826,129763825,139056278,151758211,150660257,150660258,262591877,167277338,167277340,177771475,183527484,183527490,173757425,162756271,150660264,137662829,127920475,114039043,114039042,127920472,141282055,153954326,141282058,141282059,153954333,147328822,272896790,123980962,109841453,259183187,269653219,257933857,81605268,95638022,109841447,123980955,261278610,150660244,137662818,137662820,150660249,162756252,173757411,176392874,185831587,183527465,173757399,162756239,162756238,165728875,165728876,162756233,150660230,137662811,123980945,109841438,95638018,95638019,109841440,261010689,272785695,263041939,153628575,140961872,140961871,153628573,165408990,262329840,176392870,165728878,162756247,162756248,162756250,262801744,185831589,176392873,165728881,153954328,153954329 Dl.O(d2) = 140115973,126766888,126766889,261669297,164646783,263110266,186403985,177047171,166464841,154758616,154758617,262768495,173757406,162756244,162756245,162756258,173757415,183527475,183527478,173757418,166464839,154758613,142125307,142125306,154758611,272838830,159448759,147073547,147073545,159448758,170788062,180917064,174945054,164123743,164123740,152236813,139505767,126131103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11375173, s2 = 14013442, dlinesl.size( ) = 2 s1 = 11375173, s2 = 14013442, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11375173, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 14013441, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11375235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375235, s2 = 11326646, int(edited[s2]) = 0 s1 = 11375235, s2 = 11326646, d1 = 44, d2 = 24 Dl.O(d1) = 259880242,270276086,257399344 Dl.O(d2) = 152248369,164135197,164135204,164135200,152248365,259880240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11375235, s2 = 11326646, dlinesl.size( ) = 32 s1 = 11375351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11375611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375611, s2 = 15283249, int(edited[s2]) = 0 s1 = 11375611, s2 = 15283249, d1 = 11, d2 = 0 Dl.O(d1) = 263160056,261761729,141186881,271353568 Dl.O(d2) = 965723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11375611, s2 = 15283249, dlinesl.size( ) = 14 s1 = 11375669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375669, s2 = 11008398, int(edited[s2]) = 0 s1 = 11375669, s2 = 11008398, d1 = 9, d2 = 13 Dl.O(d1) = 272176191 Dl.O(d2) = 46845889,36967045,28468408,21247137,15281026,15281028,13522214,12070340,12070124,8116606,5199926,5199925,8116604,10549816,6957725,4371476,4371479,4373439,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621165,2621167,4375962,6965234,10560422,15295813,12249287,12249288,17382905,13536656,9266221,9266222,13536661,10534415,6947305,6947308,10534422,13508707,10535375,6947933,6947932,10535372,8366338,8366339,6960311,5195463,5195462,8109292,8109277,8109276,10534736,15263446,10531302,6945349,6945350,6060557,6060555,6964176,6964175,10559075,12255191,8276599,5340281,3282452,3282451,5340273,8276582,12255156,13514325,11914760,10571643,9247304,9247302,10571597,10571595,15308059,15803542,13498041,9234767,254446545,2267550,1315442,750775,750776,1315445,2267557,3784778,6048269,9234798,13498076,18933532,25546258,25545739,18932858,13497424,9234331,6047955,3784605,3784604,4366812,4366811,3786165,3786166,6050530,9238362,10541492,15275031,21242317,256847979,258036105,84492477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11375669, s2 = 11008398, dlinesl.size( ) = 12 s1 = 11345399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345399, s2 = 7211742, int(edited[s2]) = 0 s1 = 11345399, s2 = 7211742, d1 = 18, d2 = 20 Dl.O(d1) = 260287091 Dl.O(d2) = 264064255,189886740,197541055,263930274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345399, s2 = 7211742, dlinesl.size( ) = 14 s1 = 16274371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16274371, s2 = 15054862, int(edited[s2]) = 0 s1 = 16274371, s2 = 15054862, d1 = 23, d2 = 25 Dl.O(d1) = 72250022,59515812,48128429,48128428,59515811,72250019,85841682,99794355,113808283,101140478,87142543,73523684,60775440,49373878,49373877,49373876,39445449,39445447,30841065,28373760,21156590,17136198,255535771,256485917,49373874,46749859,46749858,58118403,70832943,81567265,81567264,95600868,270635584,99794655,85842038,72250415,59516242,48128876,48128877,59516244,72250418,72250406,72250407,85842028,99794644,113808548,127676504,141024605,153690716,165469840,176148671,165469848,165469847,176148677,176148676,185610251,185610252,193866686 Dl.O(d2) = 176793302,166173031,154437156,141789855,128436367,114552365,100521460,86559368,258182642,60219654,257165257,32683643,25004703,18478174,13127840,8947277,5840189,5840191,8947281,11643287,7756829,254802361,16680539,22913484,30313530,38900092,48822365,60219656,72959694,259430199,112550343,98556518,84632926,71069858,268901224,37099968,28592828,21360818,15382524,10630199,7016721,7016723,4464544,4464542,7090630,10731606,15125754,21057623,28258720,35355981,31049551,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,29568475,38134649,48048122,59439926,58436843,47061394,37169673,29136282,25132289,18579567,18579565,22222099,19816099,19816098,26627071,29136331,29136330,256000378,34617420,32837340,32837341,256551876,39728520,31049645,23565284,23565283,24247210,17870355,17870356,14195019,14195020,19816847,20105158,14415284,9914151,9914153,6515331,6515332,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,16517986,11511593,11511594,15171173,10463294,10463292,15171171,21117758,28327949,32997834,25273257,18700980,18700981,25273261,22233165,16098301,16098300,22233159,29580875,33371578,25606783,25606782,33371570,29322759,29322758,37890616,41953103,33010868,25285923,18713091,13319756,13319758,18713095,25285929,30227076,22835492,22835493,30227081,38306070,29738249,29738248,30802364,30802365,28327730,21117606,21117605,19126340,19126341,19459572,25363017,18780227,13375481,9141921,9141919,13375474,18780222,25363010,23854123,19463469,13929072,13929071,13743294,9416109,6169419,3860342,3860341,6094138,3812928,2352182,1362569,1362566,1341716,1341720,1362538,1362534,1341718,1341720,2312835,3822060,3928885,3876660,2351186,2351185,3927522,2352700,2352703,3929863,3627138,2166224,2166227,3627145,5814677,6260572,6089955,6089954,6089958,6089959,3919741,3919740,6261137,9415205,6258344,6258343,6378055,9697442,267862928,34278600,43377576,53901403,65967631,256664820,269517128,122305565,136281852,149547033,161851610,173016485,182913938,191557513,198986158,205267009,210465013,214711802,218205832,221140268,221802591,218957161,273396366,211506262,206513946,200473738,193321212,184987272,175443382,164685365,152849124,140155043,126804765,112950768,98961683,85036785,71464896,58735278,255202882,71826460,257101680,99357783,113359689,258294004,153245553,165063183,175793565,185304132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16274371, s2 = 15054862, dlinesl.size( ) = 2 s1 = 16274371, s2 = 15054862, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 16274371, Dl.E( ) = 26, 1.1e-05 seconds used appending s1 = 14339101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11376043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376043, s2 = 10384682, int(edited[s2]) = 0 s1 = 11376043, s2 = 10384682, d1 = 31, d2 = 21 Dl.O(d1) = 152485232,139764612 Dl.O(d2) = 258045871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376043, s2 = 10384682, dlinesl.size( ) = 18 s1 = 11376113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376113, s2 = 11098450, int(edited[s2]) = 0 s1 = 11376113, s2 = 11098450, d1 = 11, d2 = 12 Dl.O(d1) = 260520072,259917594,71072982,269311621,28594864,21362498,255829005,28361100,255938024,29323232,21994019,21994020,27994110,20829852,20829851,27994108,25686998,19063152 Dl.O(d2) = 3819414,3819415,6104274,9318692,13569119,19012023,25626881,19128174,13657629,11740938,7838839,7838840,11740914,8565560,8565561,12618626,16885198,16885197,13625416,9330023,9330022,13588522,13588523,18580881,22432303,25341620,256119353,22434874,255912785,25698718,25698717,33471727,25767835,19128091,19128092,25767840,31699588,31699589,32839959,25134662,25134663,19127855,13657404,13657405,19127860,25767625,29802314,25625762,19011036,13568339,13568341,13564867,13564868,19006448,19005683,19005685,25619954,25704202,22433207,16265491,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,10015037,10015038,13567671,9289402,9289401,13567666,12827322,8721515,5677054,3530913,3530915,5677063,8721529,8721536,12827360,18092524,18982223,13545431,9273065,6074149,6074148,9273059,13545415,15899700,11022397,11022395,15899697,15899727,19010599,13567995,9289600,9289601,13567997,19010605,25625337,21999157,15899732,15899734,17644321,17644322,19011086,24250787,17873415,12657090,8681956,8681954,12772743,12652949,8590737,8590738,12652955,15707362,21763588,28435992,21846355,21846356,16263765,11307700,7507500,7507501,11307704,16263770,16265233,14252822,9796426,6439711,254967569,255733971,25453090,25453089,33199805,37898272,29329754,257496897,43251935,34161536,30792872,25283164,25283163,255568457,12386110,256020525,9291517,6104864,6104862,9319516,6104949,6104952,9319658,9350124,13654408,255971617,16982508,11896330,7955138,5059788,254253031,574196,574197,574242,1019000,1787110,1787236,3066050,5059588,7949848,7949846,10425013,6873332,5172894,5172893,4938649,4938650,7789299,7943729,7992991,11876791,11901743,7959793,7959791,254384036,23250143,23341500,22283672,16139881,11212138,7439439,5080235,5080236,5087821,3086937,3086938,5087824,7228225,7228226,10926882,254256068,5054286,3061954,1784836,1017807,1017808,1784840,3061962,5054301,7947643,7171699,7171700,7947665,5054313,5054312,7947502,7947503,11887353,16974630,13409390,11923056,7977175,5076498,5076495,7977169,11870980,11870981,16712537,11670913,7780131,7780129,10846649,7170571,7170572,10846650,11879549,7941616,7941617,11879551,8068288,8068290,12010626,11928649,7982051,7982052,7955552,5060071,3065678,1787024,1787020,3065662,1807032,1807029,3092714,5095177,5058015,3064418,3064417,5057994,5057928,5057926,6000533,6000535,9168069,8027639,8027638,11979665,17068962,16189457,16189456,22337228,23246169,23268041,23243192,16975789,15716332,15716331,18821938,17017135,16979495,11892715,254256340,5070011,3086140,3086141,5086895,7991927,7968330,7968331,11909220,16956374,16996159,11910500,7966981,7966980,11910498,16962074,16962075,17012502,11926890,7980581,5164595,5164596,5058277,3064551,3064548,5058271,7952920,254381056,16962646,16962647,255144912,17005984,16976071,16976070,17522858,16993932,267796564,7965418,11908440,8348969,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,7937228,5047511,5047509,3061164,3061167,5052806,7945163,9609244,10834674,7935805,7935800,8185360,5254733,5046376,3056794,1781625,1781624,3056787,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315453,3315162,1950203,1950202,3315141,5391196,7162412,4511031,4511032,7162414,10835225,7954276,5059178,255139665,23247033,30663805,256472796,270354607,260668380,262300666,263945666,273448528,206212672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376113, s2 = 11098450, dlinesl.size( ) = 8 s1 = 14746325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11376541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376541, s2 = 10794270, int(edited[s2]) = 0 s1 = 11376541, s2 = 10794270, d1 = 17, d2 = 14 Dl.O(d1) = 152607968,139899997,260527185,112674330,98679995,84752770,71184199,62684342 Dl.O(d2) = 24552806,268125925,5687115,3537856,3537855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376541, s2 = 10794270, dlinesl.size( ) = 18 s1 = 13696884, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11376893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376893, s2 = 11517728, int(edited[s2]) = 0 s1 = 11376893, s2 = 11517728, d1 = 11, d2 = 9 Dl.O(d1) = 264472515 Dl.O(d2) = 221748566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376893, s2 = 11517728, dlinesl.size( ) = 14 s1 = 11376923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376923, s2 = 11428588, int(edited[s2]) = 0 s1 = 11376923, s2 = 11428588, d1 = 14, d2 = 6 Dl.O(d1) = 164556205,175320112,184872518,193214366 Dl.O(d2) = 206423901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376923, s2 = 11428588, dlinesl.size( ) = 2 s1 = 11376923, s2 = 11428588, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11376923, Dl.E( ) = 16, 1.12e-05 seconds used appending s1 = 10376506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10376506, s2 = 11376938, int(edited[s2]) = 0 s1 = 10376506, s2 = 11376938, d1 = 0, d2 = 2 Dl.O(d1) = 18572995 Dl.O(d2) = 25125254,269785304,260249905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10376506, s2 = 11376938, dlinesl.size( ) = 6 s1 = 11377113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377113, s2 = 13437855, int(edited[s2]) = 0 s1 = 11377113, s2 = 13437855, d1 = 18, d2 = 13 Dl.O(d1) = 164594923,264826575,208067949,202295746,195429639 Dl.O(d2) = 262270198,270339614,8555773,5552748,3437251,2033354,2033349,3437259,5552782,3729766,3729767,5964493,9116113,13342641,16436040,16436039,12935456,8800077,6224976,6224975,9491919,7744617,4904339,4904340,7599163,7726233,7726234,11410474,7582366,4795931,2890947,1677998,1677999,2890950,2930858,4863812,2930838,2930839,2932591,2932592,4866695,7690552,11556968,11450006,7615397,7615398,4862817,2930280,2930281,4862821,5965122,3730172,2233258,1295105,1295103,2233254,2957585,1714951,1714952,2957591,2955110,2955109,4902992,4863765,4863764,7613880,7613881,7614091,11433207,11433209,11624069,9117917,7697193,7616497,4818995,2904062,2904058,1709445,1709447,2947548,2935525,2935521,4871376,7583742,5230529,3192040,1868270,1065728,1065729,1868276,254389879,8159783,9955814,6543401,4099495,4099494,6543400,6542844,6542843,9955125,14469151,11629776,11629493,7746832,4905699,4905695,7746816,8731648,7620219,7620217,7746851,6392924,6392922,255729142,4456198,4456197,6913276,6913275,10485483,15202097,18065880,18065881,24489936,24591367,24591368,18145969,18145970,18145979,18145978,14478868,14478869,20180314,27076848,24591028,18145547,12867178,12867180,12867101,8750504,5697178,3544826,254428385,8750499,8753060,12871121,18145390,15844062,10979810,7267505,7267506,8753041,12871085,18145720,18145719,24591272,24598234,18235063,12934376,12934377,18235070,19790743,14175845,14175846,19790748,18145716,18145717,24591266,32177626,39114236,30516930,30516931,24383280,17983908,17983909,12986923,8841048,5761798,5761800,8841050,12986929,12986960,8841068,5761808,5761809,8799149,8750520,5697186,5697187,8750525,9962080,14478897,20180362,24776291,24776292,24591498,18145885,18145884,18151136,255614705,12866997,12867000,18145265,18146048,16847041,254810773,4993073,3016540,1752777,1752778,3016548,4993092,7866209,11781628,16847201,23104806,256462567,47306605,43854863,43854862,47676696,37754359,37754360,37491102,28948458,21668846,21668847,28948460,28949462,28472168,21252137,15287191,15287192,12082761,12082760,17184118,21583632,21583631,28856556,37397366,46849304,269308683,52817023,255913868,33424652,37490992,37490993,255669390,15840001,10976676,7265303,4581741,4581738,4701581,6406660,6406662,6408115,4020260,2409041,1393987,792764,448960,448958,792753,792687,792685,1393810,2408678,4019617,6407076,6408676,4020542,2409190,1394068,1394069,2409194,4020558,6408701,254962509,14178631,19794535,255751836,268396910,9747135,9747137,9747246,6409286,6409285,9747245,14178602,19794488,26600646,25541458,255884462,26601719,26601718,26602984,19796556,14180122,255313315,19796559,20281632,20283308,27211615,34585008,268329357,19791894,26597874,25317940,18740069,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,20280875,17760670,14551916,10013024,6581157,4123366,2466816,1425983,811171,811172,1425984,2466817,267949115,20280906,17482659,17482658,23817682,30426062,37479493,28937483,21658926,21658925,28937478,30426018,23021099,23021101,27210494,35335029,268220704,260883035,268814306,42812710,256205246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377113, s2 = 13437855, dlinesl.size( ) = 14 s1 = 14204796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11377277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377277, s2 = 14348691, int(edited[s2]) = 0 s1 = 11377277, s2 = 14348691, d1 = 18, d2 = 0 Dl.O(d1) = 262669355 Dl.O(d2) = 184790228,263339334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377277, s2 = 14348691, dlinesl.size( ) = 30 s1 = 15331334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15180953, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11377373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11377507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377507, s2 = 11079374, int(edited[s2]) = 0 s1 = 11377507, s2 = 11079374, d1 = 10, d2 = 7 Dl.O(d1) = 152861133,140167520,126817624 Dl.O(d2) = 259276724,58749175,256835916,15860920,10993314,7277356,7277354,8101142,8101143,8101147,8101146,10943410,15794953,21868592,255059565,10943080,7242747,7242626,4566199,4566198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377507, s2 = 11079374, dlinesl.size( ) = 12 s1 = 11377685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11378091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378091, s2 = 14149838, int(edited[s2]) = 0 s1 = 11378091, s2 = 14149838, d1 = 18, d2 = 26 Dl.O(d1) = 262681507 Dl.O(d2) = 224296152,226407678,265854337,231295581,266221521,229861389,266420129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378091, s2 = 14149838, dlinesl.size( ) = 12 s1 = 11378101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378101, s2 = 10495115, int(edited[s2]) = 0 s1 = 11378101, s2 = 10495115, d1 = 13, d2 = 0 Dl.O(d1) = 261134091 Dl.O(d2) = 85226280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378101, s2 = 10495115, dlinesl.size( ) = 14 s1 = 14204852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14204852, s2 = 8637911, int(edited[s2]) = 0 s1 = 14204852, s2 = 8637911, d1 = 15, d2 = 16 Dl.O(d1) = 22602161,22602162,29967116,38533056,48441473,59827645,72563067,270851273,100127131,260019569,114160857,128050752,261744501,260620141,114160844,100127142,86161184,259401805,114160846,114160867,114160868,128050761,141419336,272243950,141419327,260677802,271852057,260700857,115671988,128050759,128050758,129078226,115149025,101073187,87077036,73459605,73459604,87077034,74059697,74059696,87663589,78508689,65219726,53230962,42779467,42779468,53230963,49801852,49801851,61280137,49801854,49801855,60711337,60711338,49801861,49175898,49175899,60574652,73317326,60711294,49309018,39381232,30779509,23355278,17087400,12000036,12000035,17087399,23355276,30779504,257026913,60711285,256612844,48921232,255239466,31113746,268287258,18540928,18540929,25085245,32782790,39794335,39268461,30672253,255525811,16992947,16993021,11907307,7964383,267837039,1790700,1021224,1021222,1790697,3070880,5066793,7964366,11907280,16992985,23256309,30672287,23256296,23256295,30672284,257018141,39268485,30672279,30672280,39268452,39268451,257489708,73340037,73340061,73340059,73340060,60595309,49194649,49194650,60595311,73340033,73340032,270874465,100934642,100934643,114988661,128890768,128890764,114988653,100934635,86951343,86951344,86951354,258099824,128890758,261144202 Dl.O(d2) = 263524967,264202435,263824612,183911789,174243781,163392974,151510808,151510807,151510752,151510751,163392907,174243698,262125294,125483222,138810800,262124163,174243774,183911781,183941511,183941510,192409659,264150333,205852512,199680846,192385124,183911728,174243742,163392941,151510773,151510771,163392932,163392925,163392924,174243714,263460925,199680838,263824612,183911789,174243781,163392974,151510808,151510807,151510752,151510751,163392907,263057501,174243701,263057503,163392939,151510773,151510771,163392932,163392925,151510767,151510765,163392919,174243711,174243783,263057511,183911776,192385171,264149759,192385102,192385103,192385114,183911701,174243706,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,57690618,70383038,83907460,97763708,111682048,261048611,151510799,163392968,174243771,183911705,174243707,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,57690618,70383038,83907460,97763708,111682048,261048611,151510799,163392968,174243771,183911705,174243707,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,97763709,111682049,125483222,138810800,262124163,174243774,183911780,264149761,205852503,199680833,263461780,174243696,174243697,174278023,174278022,183941541,263461784,263461782,151510757,138810772,125483200,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,57690618,70383038,83907460,97763708,111682048,261048611,151510799,163392968,174243771,183911705,174243707,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,57690618,70383038,83907460,97763708,111682048,261048611,151510799,163392968,174243771,183911705,174243707,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,57690618,70383038,83907460,97763708,111682048,261048611,151510799,163392968,174243771,183911705,174243707,262125292,138810774,125483201,111682040,111682039,125483196,111682053,97763711,83907461,70383040,57690621,256810944,20856709,14955471,10289042,254999031,8787461,5723532,5723534,8787493,12917911,18212839,259864607,258753448,256558841,256398768,12704190,17929928,24316043,22196285,254956052,11156836,11673612,11673610,16715402,22952210,30354021,29539313,22196117,21446510,15449955,15449954,21446504,257447803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14204852, s2 = 8637911, dlinesl.size( ) = 2 s1 = 14204852, s2 = 8637911, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14204852, Dl.E( ) = 18, 2e-05 seconds used appending s1 = 8665166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8665166, s2 = 2758752, int(edited[s2]) = 0 s1 = 8665166, s2 = 2758752, d1 = 124, d2 = 120 Dl.O(d1) = 263785063,183783396,273115466,167166274,165106420 Dl.O(d2) = 257984572,81001993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8665166, s2 = 2758752, dlinesl.size( ) = 2 s1 = 8665166, s2 = 2758752, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8665166, Dl.E( ) = 128, 3.41e-05 seconds used appending s1 = 16350435, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11378697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378697, s2 = 11309362, int(edited[s2]) = 0 s1 = 11378697, s2 = 11309362, d1 = 19, d2 = 25 Dl.O(d1) = 261765878 Dl.O(d2) = 193656445,193656447,185366880,175864358,261219102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378697, s2 = 11309362, dlinesl.size( ) = 28 s1 = 11378819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378819, s2 = 11337916, int(edited[s2]) = 0 s1 = 11378819, s2 = 11337916, d1 = 13, d2 = 8 Dl.O(d1) = 262696557 Dl.O(d2) = 185469071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378819, s2 = 11337916, dlinesl.size( ) = 8 s1 = 13698934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11378977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378977, s2 = 11250538, int(edited[s2]) = 0 s1 = 11378977, s2 = 11250538, d1 = 13, d2 = 5 Dl.O(d1) = 153442393,140762429,140762430,153442395,162080834,262219534,136724191 Dl.O(d2) = 258733826,34580545,43852148,258502139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378977, s2 = 11250538, dlinesl.size( ) = 2 s1 = 11378977, s2 = 11250538, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11378977, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 11378995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378995, s2 = 11189196, int(edited[s2]) = 0 s1 = 11378995, s2 = 11189196, d1 = 15, d2 = 8 Dl.O(d1) = 260475600 Dl.O(d2) = 77977924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378995, s2 = 11189196, dlinesl.size( ) = 26 s1 = 9672760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9672760, s2 = 8684761, int(edited[s2]) = 0 s1 = 9672760, s2 = 8684761, d1 = 11, d2 = 8 Dl.O(d1) = 259980142,85647717,99597607,113612733,127486845,140845325,153524196,165318007,176012300,185485413,193751837 Dl.O(d2) = 195478550,187457866,178240918,167796234,156200999,143671618,130347319,116510820,102415121,88414570,74782887,61986517,50494505,40458569,31764172,24252404,17874875,12658282,8594158,5584060,3464492,3464493,5584063,254875435,17874883,24252413,31764169,24252402,24252403,31764171,40458567,40458564,40458565,50494503,61986516,74782886,88414569,102415120,116510818,272276777,130347315,116510817,106594402,92296184,78268967,64995412,53020145,42579970,33563266,25773954,25773955,33563268,42579973,257166262,53020147,53020146,64995413 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9672760, s2 = 8684761, dlinesl.size( ) = 2 s1 = 9672760, s2 = 8684761, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 9672760, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 15632296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15632296, s2 = 3681886, int(edited[s2]) = 0 s1 = 15632296, s2 = 3681886, d1 = 8, d2 = 8 Dl.O(d1) = 223660863,225836583,223660904,223660905,221149948,221149949,223660931,223660909,221149928,221149929,223660911,221149974,221149759,221149760,223660760,225836493,223660797,221149851,218216820,218216819,265324419,221149958,218216912,218216862,218216863,221149895,223660868,225836588,227733949,227733957,225836600,223660882,221149898,218216893,264912048,221149914,223660898,223660896,225836615,227733970,227733968,227733967,265812870,265503215,225836520,223660790,221149784,264672768,210481875,205288624,205288625,210481878,210481885,210481886,214725029,218216890,221149929,223660911,221149974,221149759,221149760,223660760,225836493,223660797,221149791,265324411,221149852,219161565,215822616,211785882,211785883,215822618,265196093,224401561,226504172,274465026,265664744,225836521,226504185,225836522,225836523,265324414,274324524,227733973,265664742,224401550,223660902,221149920,221149919,219161560,215822614,211785880,264754727,219161562,221980536,274408779,224401565,265862035,228335811,226504182,224401571,221980555,219161582,219161583,219161568,264754732,211785885,215822619,215822630,211785895,211785894,215822628,219161579,221980552,264986170,200864189,193777668,185513327,176043326,165353018,153563850,140889549,127534104 Dl.O(d2) = 223660863,225836583,223660904,223660905,221149948,221149949,223660931,223660909,221149928,221149929,223660911,221149974,221149759,221149760,223660760,225836493,223660797,221149851,218216820,218216819,265324419,221149958,218216912,218216862,218216863,221149895,223660868,225836588,227733949,227733957,225836600,223660882,221149898,218216893,264912048,221149914,223660898,223660896,225836615,227733970,227733968,227733967,265812870,265503215,225836520,223660790,221149784,264672768,210481875,205288624,205288625,210481878,210481885,210481886,214725029,218216890,221149929,223660911,221149974,221149759,221149760,223660760,225836493,223660797,221149791,265324411,221149852,219161565,215822616,211785882,211785883,215822618,265196093,224401561,226504172,274465026,265664744,225836521,226504185,225836522,225836523,265324414,274324524,227733973,265664742,224401550,223660902,221149920,221149919,219161560,215822614,211785880,264754727,219161562,221980536,274408779,224401565,265862035,228335811,226504182,224401571,221980555,219161582,219161583,219161568,264754732,211785885,215822619,215822630,211785895,211785894,215822628,219161579,221980552,264986170,200864189,193777668,185513327,176043326,165353018,153563850,140889549,127534104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15632296, s2 = 3681886, dlinesl.size( ) = 2 s1 = 15632296, s2 = 3681886, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15632296, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14119616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379667, s2 = 11520562, int(edited[s2]) = 0 s1 = 11379667, s2 = 11520562, d1 = 7, d2 = 14 Dl.O(d1) = 263896529 Dl.O(d2) = 264988277,222000399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379667, s2 = 11520562, dlinesl.size( ) = 16 s1 = 10248102, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14705149, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11380151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11380151, s2 = 11032978, int(edited[s2]) = 0 s1 = 11380151, s2 = 11032978, d1 = 8, d2 = 10 Dl.O(d1) = 259901658 Dl.O(d2) = 256842684,29719009,29719008,23055423,23055422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11380151, s2 = 11032978, dlinesl.size( ) = 12 s1 = 11380419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11380419, s2 = 11557208, int(edited[s2]) = 0 s1 = 11380419, s2 = 11557208, d1 = 26, d2 = 23 Dl.O(d1) = 165667806,264509393,215946461 Dl.O(d2) = 265868537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11380419, s2 = 11557208, dlinesl.size( ) = 24 s1 = 10238264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10238264, s2 = 11280774, int(edited[s2]) = 0 s1 = 10238264, s2 = 11280774, d1 = 256, d2 = 200 Dl.O(d1) = 125502793,138834663,151537261,163420572,174270186,165705098,165705099,176370137,263910171 Dl.O(d2) = 123654639,137386054,150426169,162555297,162555298,173586111,262579367,150426168,262087475,173586110,173586111,273499807,260641402,152824150,258800192,112924778 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8648038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8648038, s2 = 5606597, int(edited[s2]) = 0 s1 = 8648038, s2 = 5606597, d1 = 61, d2 = 27 Dl.O(d1) = 263172702,196847386,203476466,209027555,263564086,208667763,208667754,203032047,196305472,188439876,188439877,196305475,196305480,203032061,208667779,213299377,213299372,208667767,208667768,213299374,217090528,263564092,208667776,203032060,203032059,208667775,263564090,216036929,212044719,208667755,208667756,213299366,217090523,217316414,213584416,209027553,203476465,203476466,209027554,208667758,203032049,196305473,188439876,188439877,196305475,196305480,203032061,208667779,213299377,213299372,208667767,208667768,213299374,217090528,263564092,208667776,203032060,203032059,208667775,263564090,216036929,212044719,208667755,203032048,196305473,188439876,179408083,260022668 Dl.O(d2) = 229545357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8648038, s2 = 5606597, dlinesl.size( ) = 2 s1 = 8648038, s2 = 5606597, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 8648038, Dl.E( ) = 62, 1.91e-05 seconds used appending s1 = 11381065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381065, s2 = 10540969, int(edited[s2]) = 0 s1 = 11381065, s2 = 10540969, d1 = 4, d2 = 3 Dl.O(d1) = 165912415,176560969,185985229,194201705,201239671 Dl.O(d2) = 222142862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381065, s2 = 10540969, dlinesl.size( ) = 12 s1 = 11381179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11381273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16283222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11381637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381637, s2 = 10803834, int(edited[s2]) = 0 s1 = 11381637, s2 = 10803834, d1 = 27, d2 = 47 Dl.O(d1) = 263573533 Dl.O(d2) = 266859439,236757175,236757174,266672733,266801967,240067041,240579708,241055272,274903595,267223891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381637, s2 = 10803834, dlinesl.size( ) = 20 s1 = 11381699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381699, s2 = 11152330, int(edited[s2]) = 0 s1 = 11381699, s2 = 11152330, d1 = 25, d2 = 37 Dl.O(d1) = 166044697,260037174,140571108,127225854,113367909,259345985,257486643,258096831,85424767,259964511,127225881,272200497,127225881,140571130,262208001 Dl.O(d2) = 258144376,71487723,85059056,71487712,58758578,58758579,71487713,258936289,258936291,71487518,58758395,58758394,71487515,85058910,98983810,112972840,98984253,85059538,71488253,71488254,85059540,88162808,85058426,85058425,98983418,98983725,98983142,85058055,71486614,58757651,58757650,71486610,257506651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381699, s2 = 11152330, dlinesl.size( ) = 32 s1 = 11381753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11381805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381805, s2 = 11464208, int(edited[s2]) = 0 s1 = 11381805, s2 = 11464208, d1 = 7, d2 = 21 Dl.O(d1) = 166073179 Dl.O(d2) = 212139650,216123013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381805, s2 = 11464208, dlinesl.size( ) = 36 s1 = 11381841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381841, s2 = 11306062, int(edited[s2]) = 0 s1 = 11381841, s2 = 11306062, d1 = 11, d2 = 3 Dl.O(d1) = 261216685 Dl.O(d2) = 258175943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381841, s2 = 11306062, dlinesl.size( ) = 12 s1 = 11381845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381845, s2 = 10482881, int(edited[s2]) = 0 s1 = 11381845, s2 = 10482881, d1 = 3, d2 = 7 Dl.O(d1) = 154327701 Dl.O(d2) = 154327702,166077224,262835540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381845, s2 = 10482881, dlinesl.size( ) = 6 s1 = 13702280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382217, s2 = 11554388, int(edited[s2]) = 0 s1 = 11382217, s2 = 11554388, d1 = 37, d2 = 43 Dl.O(d1) = 264248215 Dl.O(d2) = 265853728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382217, s2 = 11554388, dlinesl.size( ) = 36 s1 = 11382759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10560202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382817, s2 = 11054146, int(edited[s2]) = 0 s1 = 11382817, s2 = 11054146, d1 = 8, d2 = 10 Dl.O(d1) = 272972686 Dl.O(d2) = 256613890,3568853,3568854,5731711,8799288,12934477,18235218,24706187,25092401,256648815,18904810,18214118,12918808,8788102,5723996,5723997,8788104,12918811,18214125,24679546,32289404,269039137,62951258,75932139,260206449,258416694,66846759,58429024,47054425,37163674,28647217,28647218,28424912,256305697,270393210,36923410,28424925,21201632,21201631,28424924,36923409,46801627,58169074,62525526,50922109,256679574,24478366,18056485,267936546,5665582,8630344,5612033,5612031,5789998,5789999,5796218,3614606,2158357,2158358,3614614,5645909,8677444,12767065,18014026,18310834,12998222,8849457,8849459,8630404,5612073,5612074,8630409,255597883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382817, s2 = 11054146, dlinesl.size( ) = 12 s1 = 14684152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14684152, s2 = 6708158, int(edited[s2]) = 0 s1 = 14684152, s2 = 6708158, d1 = 16, d2 = 10 Dl.O(d1) = 166492673,166492672,177074166,261766366,114898579,100847674,260663441,261219634,154785834,142151174 Dl.O(d2) = 142151173,154785831,142151175,128795879,114898577,100847673,86866455,257570886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14684152, s2 = 6708158, dlinesl.size( ) = 14 s1 = 11382875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382875, s2 = 11508128, int(edited[s2]) = 0 s1 = 11382875, s2 = 11508128, d1 = 14, d2 = 19 Dl.O(d1) = 261921256 Dl.O(d2) = 265018569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382875, s2 = 11508128, dlinesl.size( ) = 14 s1 = 14252062, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11383185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383185, s2 = 11066918, int(edited[s2]) = 0 s1 = 11383185, s2 = 11066918, d1 = 28, d2 = 10 Dl.O(d1) = 263207181 Dl.O(d2) = 143585903,256547574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383185, s2 = 11066918, dlinesl.size( ) = 46 s1 = 10973877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15244995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11383531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383531, s2 = 11270776, int(edited[s2]) = 0 s1 = 11383531, s2 = 11270776, d1 = 10, d2 = 1 Dl.O(d1) = 155113646 Dl.O(d2) = 115161589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383531, s2 = 11270776, dlinesl.size( ) = 8 s1 = 11383563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383563, s2 = 11482386, int(edited[s2]) = 0 s1 = 11383563, s2 = 11482386, d1 = 0, d2 = 10 Dl.O(d1) = 166818979 Dl.O(d2) = 194802576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383563, s2 = 11482386, dlinesl.size( ) = 16 s1 = 11383617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383617, s2 = 11293562, int(edited[s2]) = 0 s1 = 11383617, s2 = 11293562, d1 = 2, d2 = 14 Dl.O(d1) = 166839392 Dl.O(d2) = 261470538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383617, s2 = 11293562, dlinesl.size( ) = 20 s1 = 11383633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383633, s2 = 8470037, int(edited[s2]) = 0 s1 = 11383633, s2 = 8470037, d1 = 72, d2 = 65 Dl.O(d1) = 259421146,30813359,24889487,18389649,13062280,8901055,5808349,3622989,3622994,5808362,254899905,18389727,24889583,32534512,272879110,263979334,207944028,212720819,264568676,212720101,216625595 Dl.O(d2) = 115560718,125688751,260101176,258239114,76008359,63025305,51344696,51344695,268987610,76008353,63025299,51344689,41159782,257629978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383633, s2 = 8470037, dlinesl.size( ) = 32 s1 = 14111749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11383851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383851, s2 = 11280768, int(edited[s2]) = 0 s1 = 11383851, s2 = 11280768, d1 = 5, d2 = 8 Dl.O(d1) = 166882490 Dl.O(d2) = 261217394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383851, s2 = 11280768, dlinesl.size( ) = 14 s1 = 11383899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383899, s2 = 10619544, int(edited[s2]) = 0 s1 = 11383899, s2 = 10619544, d1 = 32, d2 = 36 Dl.O(d1) = 260735708 Dl.O(d2) = 155199887,261850068,142556976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383899, s2 = 10619544, dlinesl.size( ) = 28 s1 = 11383937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383937, s2 = 15979794, int(edited[s2]) = 0 s1 = 11383937, s2 = 15979794, d1 = 17, d2 = 13 Dl.O(d1) = 155221977,261047358,142583989,260467792 Dl.O(d2) = 8095796,268103565,12304523,17440434,17440435,17357437,12227556,8255566,5325734,3273446,1925361,1925360,3273445,254587149,12227552,15553411,10757427,7107254,4474611,4474612,5360034,5347377,5347376,8289071,8535574,254869789,17779675,18863118,13440194,9189848,8485200,8485201,8549591,8549593,11231208,8538831,8538829,12274192,8289030,8289028,7799241,7799244,5597563,5597564,7896326,5597582,5556232,3440639,2036063,1166330,1166328,2013004,3411218,3412417,3412416,5526022,8527498,7461286,4714847,4714846,7461282,8527395,5525953,5525952,8527394,6018178,5347578,5347579,8289345,8289336,8289338,8531640,12273761,12273760,8559034,8559033,8556907,5553749,3438091,2033972,2033967,3438080,5505478,5184109,5184108,8091727,8289320,267931523,6017675,6014465,6014466,6015409,3762712,2254230,1308303,1308304,2254232,3762716,5530050,5530049,3433747,2030961,1163137,1163140,2030943,3433716,5548071,8549465,8613635,5598895,3475380,3475379,5565224,3448841,2255254,1993338,1993335,1995277,1140251,750402,750406,936082,936081,1307906,746665,746666,1182881,664425,664426,1182885,2032686,1164207,254188479,1136171,637462,637464,1136173,1988527,2051611,1766065,1766066,3034425,3761868,3761869,6014529,5499628,3449678,2043271,2043272,3449680,5522966,8524299,5549894,3435028,2031886,2031885,3379355,2038032,2038030,3442913,5558220,8561059,12612607,17814626,22433880,16266146,11309250,11309251,8360930,5396629,3318445,1952188,1115397,1115396,1952182,3318426,5396583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383937, s2 = 15979794, dlinesl.size( ) = 16 s1 = 15979793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15979793, s2 = 11383938, int(edited[s2]) = 0 s1 = 15979793, s2 = 11383938, d1 = 4, d2 = 7 Dl.O(d1) = 47812317,44353651,34975989,26896633,20014895,14334600,9847412,6467766,6467765,9847408,14334596,20014892,26896628,34975985,31633268,31633267,24169378,17801916,17801915,24169375,31677746,24208155,24208156,23147781,23147780,17745733,12556285,12556286,15538873,15538871,15543717,254188478,22311450,16165343,11232710,11232713,16165352,22311460,17817949,12615290,8563251,5560351,5560352,8563171,12615172,17817793,18865388,18865387,18864668,13441530,9191404,9191402,13442138,18865328,22834160,16613061,16613060,22834159,19701564,14126279,9718599,9718596,7395664,7395661,11150379,8501073,8501072,12540071,17724622,23156339,22665696,22665697,30040882,30889253,23456738,23456739,267931522,22664332,16469496,11475145,11475146,16469499,16469529,16469539,16469543,19702404,19702407,26441539,34319431,40408548,31716325,24208535,20152409,17712051,16166431,11233808,11233807,16166426,17784846,12587439,12587438,17784843,14456598,14456599,17490528,17490529,19705519,14129163,9720315,9720316,14129167,14454687,9944584,6535996,6535998,7708650,7708640,7708638,11581251,16605474,17771850,17771849,23150176,24083378,17726083,12541079,12541078,17726075,17795274,12596000,12595997,17795262,24067947,17712111,17712115,24067956,31573579,40260758,254869788,28266396,21063621,21063620,21785343,16163230,11230175,11230174,16163228,18833824,13418814,9174776,254587148,3755416,6004985,9174790,13418838,18833866,21799702,29097107,37645948,30141201,22755271,16543894,268103564,30141202 Dl.O(d2) = 28074247,20902319,14997694,254709645,4261794,2547853,1467740,1467741,2547854,4261797,6796767,10328249,14997707,17200321,12095399,8134402,5211685,3179641,1861212,1861214,3179650,5211658,3704950,3704953,2219827,2219823,3706566,5927824,7083904,7083903,5946410,5946411,4283716,2561118,2561119,4283722,4283707,4283706,2561147,1474929,1474928,2561139,4234751,2531910,1459041,825975,825976,1459046,2531917,4234719,2560099,2560100,4281939,6825451,10298710,8123548,5204463,4233833,4233829,6756372,10280075,14945873,20846340,28012095,36472498,46327817,257997103,70366369,83890864,97747560,111666537,125467796,261600623,163378956,163378953,151496230,138795778,260467793,111666537,261047359,125467795,138795777,272814509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15979793, s2 = 11383938, dlinesl.size( ) = 2 s1 = 15979793, s2 = 11383938, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15979793, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11384035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11384115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384115, s2 = 11237718, int(edited[s2]) = 0 s1 = 11384115, s2 = 11237718, d1 = 6, d2 = 2 Dl.O(d1) = 260458892,270775268,87338471,73719639,60958417,51691241,41441916,41441914,44267816,49486790,39546840,30931314,23529706,23529703,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007 Dl.O(d2) = 4047601,2423268,2423267,4040527,2420914,2420911,4040555,6442058,9800486,14259514,19906462,26745790,34429763,43612896,54249845,60990295,73757387,257972924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384115, s2 = 11237718, dlinesl.size( ) = 8 s1 = 11237717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237717, s2 = 11384116, int(edited[s2]) = 0 s1 = 11237717, s2 = 11384116, d1 = 7, d2 = 9 Dl.O(d1) = 257972925,45551693,35910315,27620291,20575297,14758997,14758998,14633078,10066450,6612929,4141442,2489103,2489099,2500442,2500441,1442936,818847,818850 Dl.O(d2) = 1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467387,35122345,27559058,27559052,35818410,27867722,27867721,36280402,46073175,57353258,57364279,70015126,270775269,260458893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237717, s2 = 11384116, dlinesl.size( ) = 10 s1 = 11384117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384117, s2 = 11237754, int(edited[s2]) = 0 s1 = 11384117, s2 = 11237754, d1 = 17, d2 = 15 Dl.O(d1) = 155281442,142659427,129306628,258956060,87346276,77932318,64740298,64740297,257803224,100139681,86175077,72576968,72576970,72576987,72576986,80154025,258590588,79676377,259750189,122538057,258567738 Dl.O(d2) = 100135801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384117, s2 = 11237754, dlinesl.size( ) = 40 s1 = 11384133, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11384141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384141, s2 = 3020971, int(edited[s2]) = 0 s1 = 11384141, s2 = 3020971, d1 = 51, d2 = 12 Dl.O(d1) = 263223317 Dl.O(d2) = 91682193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384141, s2 = 3020971, dlinesl.size( ) = 36 s1 = 15071682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11384293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384293, s2 = 7887348, int(edited[s2]) = 0 s1 = 11384293, s2 = 7887348, d1 = 41, d2 = 33 Dl.O(d1) = 261063928,269766202 Dl.O(d2) = 254714236,14975913,10308445,10308443,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190253,11338274,16296061,254219628,15587267,10782847,7124683,254337755,2695136,254362523,7657448,11511059,16517290,14607861,10051664,6604992,6604993,10051670,14607873,10502188,6925081,6925082,10322924,12742737,12742735,10050725,10050724,14606455,20349755,15069099,14924657,14924656,14598618,10045138,6601167,4135494,2473790,1429963,1429964,1429840,1429843,2473541,4135010,4488727,5946732,9090217,12339000,11338681,11338680,12338987,12338960,11509460,7656480,4844615,4844614,7656478,10391347,6848789,4297545,4297544,6848787,10391343,12337547,17497824,20860672,20342498,14600201,268136772,254637002,7678283,4858469,4486836,4486835,3826782,3826784,6116139,6116199,6116203,7126235,7436872,4699256,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,3800460,3800463,5383489,8340665,10048703,10048701,14603555,20346328,27281803,20979164,20979165,28158583,28897643,27285340,255360028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384293, s2 = 7887348, dlinesl.size( ) = 26 s1 = 14643085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11384433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384433, s2 = 11274860, int(edited[s2]) = 0 s1 = 11384433, s2 = 11274860, d1 = 7, d2 = 0 Dl.O(d1) = 155474856 Dl.O(d2) = 101653324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384433, s2 = 11274860, dlinesl.size( ) = 16 s1 = 11384439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384439, s2 = 11134916, int(edited[s2]) = 0 s1 = 11384439, s2 = 11134916, d1 = 4, d2 = 14 Dl.O(d1) = 262122250 Dl.O(d2) = 219719175,216462201,212535604,207732483,264439894,262046117,122039717,107664804,260953506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384439, s2 = 11134916, dlinesl.size( ) = 8 s1 = 14638675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14638675, s2 = 11746711, int(edited[s2]) = 0 s1 = 14638675, s2 = 11746711, d1 = 29, d2 = 7 Dl.O(d1) = 50489460,61981516,64768328,77963132,91888109,259672766,88409282,88409283,81221503,81221502,91888103,91888104,106083601,91888083,77963111,64768316,64768317,77963115,91888087,91888151,77963174,77963173,91888149,106083657,120284444,258865704 Dl.O(d2) = 136762849,136762856,122931935,122931936,122931926,122931927,136762851,149903450,149903451,273048917,149903449,149903448,162115015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14638675, s2 = 11746711, dlinesl.size( ) = 2 s1 = 14638675, s2 = 11746711, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14638675, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 11384523, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8101725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11384751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384751, s2 = 7113352, int(edited[s2]) = 0 s1 = 11384751, s2 = 7113352, d1 = 63, d2 = 62 Dl.O(d1) = 262804873,263179984 Dl.O(d2) = 262745411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384751, s2 = 7113352, dlinesl.size( ) = 64 s1 = 11932858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11932858, s2 = 12259817, int(edited[s2]) = 0 s1 = 11932858, s2 = 12259817, d1 = 23, d2 = 19 Dl.O(d1) = 67763187,55423126,44575805,42415263,33424467,33424468,37200452,28677642,21429153,15436190,10671439,10671440,15436194,21429161,28677651,28341183,21129042,21129043,254490852,42976479,53450762,47546547,47546546,44501668,35123844,35123845,44501671,55347996,67687704,81153419,81153420,257062114,123657548,137388752,150428712,273058165,173588287 Dl.O(d2) = 261170814,194604336,259376236,154811552,268635166,100877006,86897945,255084004,60544912,49145637,39219135,30621883,30621885,39219138,254771664,25418220,25418219,19534283,19534282,26252020,34116601,39412723,30807600,30807598,39412714,42625646,33601113,26677052,24729446,18256613,12953301,12953300,18256609,24729437,19356782,19356781,23730543,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728884,5963016,3729011,3729007,2232585,2232589,3729065,5963423,6311916,9609753,13988745,12515161,8478635,8478630,8478871,5480743,5480746,8478879,12515559,10664862,10664861,15426951,17694226,12514880,8478456,8478457,12514888,14582971,10034450,6594517,6594518,10034455,13803010,13803009,19304801,21416808,15426904,10664830,7043399,4432608,2661075,2661074,3838925,6136050,9367729,13679404,19156977,19334992,24568955,21958568,15868023,14581049,10033188,10033193,14581062,11262778,10999398,7281191,7281188,10421716,7856182,4986231,4986227,7856116,7856119,11766973,8741277,8741280,12854423,14584236,10035253,6594958,4131621,4131625,6594950,7745580,7745577,11627747,14582418,14117415,9712721,8283723,8283727,12266651,9317855,9317852,13607718,13607719,14225001,14225004,18671192,22931095,30332036,33780301,30700127,23284419,23284420,22439851,22439849,25595317,25595318,29708489,269341371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11932858, s2 = 12259817, dlinesl.size( ) = 2 s1 = 11932858, s2 = 12259817, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11932858, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 11385269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11385283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11385283, s2 = 11314490, int(edited[s2]) = 0 s1 = 11385283, s2 = 11314490, d1 = 79, d2 = 86 Dl.O(d1) = 155722624,143168564,143168567,155722629,155722620,155722621,155722631,167357187,177854133,187126837,177854138,167357191,155722635,155722634,155722638,261292259,129837091,129837084 Dl.O(d2) = 6514098,9910377,14408718,20096439,26985635,35069091,44443161,55287150,67625074,258280212,109401915,123593491,137324664,272270916,162497757,162497756,173534284,183334020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11385283, s2 = 11314490, dlinesl.size( ) = 2 s1 = 11385283, s2 = 11314490, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11385283, Dl.E( ) = 110, 5.39e-05 seconds used appending s1 = 11385533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11385533, s2 = 10723044, int(edited[s2]) = 0 s1 = 11385533, s2 = 10723044, d1 = 0, d2 = 11 Dl.O(d1) = 167406472 Dl.O(d2) = 207935327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11385533, s2 = 10723044, dlinesl.size( ) = 2 s1 = 11385533, s2 = 10723044, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11385533, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 11385541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4650621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11385677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11385705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11385705, s2 = 11525884, int(edited[s2]) = 0 s1 = 11385705, s2 = 11525884, d1 = 12, d2 = 15 Dl.O(d1) = 262822991 Dl.O(d2) = 265046119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11385705, s2 = 11525884, dlinesl.size( ) = 14 s1 = 10951474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7078496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7078496, s2 = 5438538, int(edited[s2]) = 0 s1 = 7078496, s2 = 5438538, d1 = 13, d2 = 36 Dl.O(d1) = 262259651,176529174 Dl.O(d2) = 263983552,201218754,194178110,194178108,201218753,207146018,212034035,274015302,222131939,222131938,274015300,274015302,222131939,224532284,226617521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7078496, s2 = 5438538, dlinesl.size( ) = 38 s1 = 11385917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11385917, s2 = 14050486, int(edited[s2]) = 0 s1 = 11385917, s2 = 14050486, d1 = 18, d2 = 15 Dl.O(d1) = 261436616,260873936 Dl.O(d2) = 66867372,54609364,43866543,43866544,39054024,30464362,23056054,23056055,30214423,22823704,16603243,11579652,11579653,16603245,14897181,10809809,7142882,7142883,4878098,2939274,1704419,968817,968816,1704255,968740,545612,545611,968736,1704243,2938913,254546377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11385917, s2 = 14050486, dlinesl.size( ) = 20 s1 = 11933204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11386053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8678401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11386293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11386293, s2 = 11414410, int(edited[s2]) = 0 s1 = 11386293, s2 = 11414410, d1 = 97, d2 = 51 Dl.O(d1) = 261317863,261595842,143583132,130254411,116417165,116417166,261859915,167723719,263108224 Dl.O(d2) = 156119422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11386293, s2 = 11414410, dlinesl.size( ) = 66 s1 = 16363562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11386413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11386413, s2 = 12267756, int(edited[s2]) = 0 s1 = 11386413, s2 = 12267756, d1 = 19, d2 = 4 Dl.O(d1) = 262662470,261662034,260533468,71288887,58556930 Dl.O(d2) = 39955229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11386413, s2 = 12267756, dlinesl.size( ) = 20 s1 = 16272635, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11386827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11386827, s2 = 10453436, int(edited[s2]) = 0 s1 = 11386827, s2 = 10453436, d1 = 4, d2 = 7 Dl.O(d1) = 263653827 Dl.O(d2) = 239648927,266972685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11386827, s2 = 10453436, dlinesl.size( ) = 2 s1 = 11386827, s2 = 10453436, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11386827, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11387041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387041, s2 = 11195456, int(edited[s2]) = 0 s1 = 11387041, s2 = 11195456, d1 = 6, d2 = 5 Dl.O(d1) = 261415012,131029479 Dl.O(d2) = 117231310,259634050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387041, s2 = 11195456, dlinesl.size( ) = 2 s1 = 11387041, s2 = 11195456, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11387041, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13708086, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11387179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387179, s2 = 12325576, int(edited[s2]) = 0 s1 = 11387179, s2 = 12325576, d1 = 0, d2 = 23 Dl.O(d1) = 168358399 Dl.O(d2) = 187803559,187803560,195755340,202563984,264313471,202563983,208286177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387179, s2 = 12325576, dlinesl.size( ) = 24 s1 = 13729458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11387213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11387273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387273, s2 = 4195423, int(edited[s2]) = 0 s1 = 11387273, s2 = 4195423, d1 = 1, d2 = 1 Dl.O(d1) = 156935109,168389171,168389172,156935110,156935109,158708367,269921146,119282108,105089118,90908901,77028849,63917104,63917103,52098384,41785046 Dl.O(d2) = 156935109,168389171,168389172,156935110,156935109,158708367,269921146,119282108,105089118,90908901,77028849,63917104,63917103,52098384,41785046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387273, s2 = 4195423, dlinesl.size( ) = 2 s1 = 11387273, s2 = 4195423, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11387273, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 504441, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11387385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387385, s2 = 11312082, int(edited[s2]) = 0 s1 = 11387385, s2 = 11312082, d1 = 23, d2 = 0 Dl.O(d1) = 261265016 Dl.O(d2) = 75600344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387385, s2 = 11312082, dlinesl.size( ) = 28 s1 = 11387617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387617, s2 = 11161658, int(edited[s2]) = 0 s1 = 11387617, s2 = 11161658, d1 = 15, d2 = 12 Dl.O(d1) = 261364667 Dl.O(d2) = 260245346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387617, s2 = 11161658, dlinesl.size( ) = 18 s1 = 13708726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11387925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11387925, s2 = 11348786, int(edited[s2]) = 0 s1 = 11387925, s2 = 11348786, d1 = 19, d2 = 3 Dl.O(d1) = 261377408,81010383,257730270,44345594,34968117,26889196,20008464,20008465,20008455,20008454,256735685,55196322,67540426 Dl.O(d2) = 95069607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11387925, s2 = 11348786, dlinesl.size( ) = 8 s1 = 11388015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388015, s2 = 14105326, int(edited[s2]) = 0 s1 = 11388015, s2 = 14105326, d1 = 18, d2 = 20 Dl.O(d1) = 157624378,145215283,259599834,104009624,270469726,109458778,109458769,95203840,95203841,109458770,123651390,137382783,123651408,109458782,95203847,81146363,81146364,95203849,270554234,137382801,123980337,109840724,109840723,123980335,137662252,260922137,107058649,259081481,42886409,42886408,53350966,65353253,78656549,92719100,107058653,95637177,81604332,68115636,59715339,254839210,29853111,29853112,25432548,23886361,23886360,31383065,29351296,22019758,15918373,11040391,11040394,15918381,22019777,22472527,21296523,15329448,11352721,11352724,11545041,11545038,16562763,22490161,22490162,29855092,36832557,46694819,254347824,36800803,30757137,23334538,17068306,17068305,23334537,255841734,47715614,37794772,37794771,47715613,38934725,30348994,22947533,255162964,38934723,39774195,36720265,29577135,22229580,16095379,11179290,7417423,7417424,11179297,16095397,11179327,11179326,15160616,10455254,6891794,4326347,2588260,1492057,1492058,2588262,4326353,6891807,10455278,14571363,10026857,6589856,6589857,10026859,14571369,14571400,10026875,6589867,4128512,4128508,6589862,10026866,14571381,20304492,21094298,16878568,11808542,11808544,15152506,21095021,25089727,18544575,18544574,22473851,22473852,18543027,13175633,8981410,5863710,5863709,8981407,13175628,18543013,14571300,10026816,10026815,14571293,20304370,255530406,44780530,255894658,25089104,25089103,32786969,41702772,38438652,38438653,48342152,59726547,52014014,41703295,32787810,25090059,25090058,254526510,31095926,23612127,21095471,21095466,28304566,31096485,37800107,32786576,32786577,41702502,37800112,32785813,28303524,21094600,21094599,28303522,35227111,35227110,39774364,31096069,31096071,39774366,47500271,41701834,32785457,32785458,38429838,29868621,29868620,30771471,28835898,28835897,35227101,32786509,32785666,25087791,18542864,18542865,25087795,31096275,28312388,25087779,18542861,17101508,12015852,12015854,17101511,23370082,23300211,21284946,15321148,15321144,21284934,28413914,36911472,37389841,30445217,30445219,31455637,29562130,28849949,21578149,15554868,10758780,10758779,15554862,21578133,28849921,23049724,23049723,30457347,28849965,28285865,28285867,36782628,36513233,29839658,22472023,16302579,16302580,15554838,15554837,12410445,12410444,17582722,22509807,20880681,20880682,21099371,21099370,22655169,16462488,16462487,22315982,22315983,29667665,28311983,21101656,15157484,15157481,21101650,28311972,30374478,36808790,36808791,30374475,30374474,255381562,36782584,36782585,46669269,36805978,28309104,21099152,15155643,10452113,6890063,6890066,10452119,10452866,15156812,21100662,22389564,29749284,22510889,22510890,254789940,37290261,37290262,37430283,28888596,28310716,21613908,21613907,28889975,26622332,21099222,21099220,22435162,22512895,21464583,15463765,10726280,7086888,7086887,10726272,15509567,12171899,11670850,11670851,16439602,21615196,15585586,254160790,7123917,7551396,4775489,2878260,2878261,4775496,7124280,7124276,10782223,10453319,6890755,6890756,7551445,4775510,2878267,2878268,4775515,7551457,10693842,7064928,4448213,4448212,7064923,10693826,10979529,11370175,11370174,8190375,5259749,3215276,1883639,1074630,603722,603725,1074640,1883665,3215325,5259845,7469102,11251719,16186966,22334140,19534733,19534735,21941768,15853341,15853339,16107909,11188602,11188599,16107897,19571580,14976486,14976484,15587485,15587482,20293828,27222270,25753329,25753330,28893452,28893563,21617497,21617496,28893562,21630839,21630840,28905143,22245096,22245095,20345986,20345987,19220323,13729634,255285429,25879481,33685860,28895420,21619866,21619865,23651912,22729466,22729465,18891320,13462541,267895142,25496379,21616419,21616416,15887184,11013095,11013094,256915565 Dl.O(d2) = 71942018,85529982,272550539,260994484,112324985,126185451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388015, s2 = 14105326, dlinesl.size( ) = 18 s1 = 11388073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388073, s2 = 11390344, int(edited[s2]) = 0 s1 = 11388073, s2 = 11390344, d1 = 11, d2 = 12 Dl.O(d1) = 262423128,164572744,175335374,273609695 Dl.O(d2) = 274311826,217615100,264635308,204054023,273633551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388073, s2 = 11390344, dlinesl.size( ) = 14 s1 = 11388181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388181, s2 = 13290143, int(edited[s2]) = 0 s1 = 11388181, s2 = 13290143, d1 = 16, d2 = 18 Dl.O(d1) = 260338326 Dl.O(d2) = 256690818,255703876,18333220,13014127,8860733,5775604,5775607,8860748,8946475,13126434,13126436,17866723,17866722,24242671,31754436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388181, s2 = 13290143, dlinesl.size( ) = 14 s1 = 14297053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11388439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388439, s2 = 6725957, int(edited[s2]) = 0 s1 = 11388439, s2 = 6725957, d1 = 31, d2 = 35 Dl.O(d1) = 260842588,271020138,104667726 Dl.O(d2) = 262448464,158242692,169618133,179814397,169618145,158242704,158242702,158242696,145875692,132660072,118845159,104667725,90505850,257761398,32623775,30618796,23197563,16929093,11848461,11848462,16929095,18502502,269067512,13086460,8917712,5819528,3630226,2168155,1254829,1254828,2168153,3630221,5819516,8917693,13086429,18423706,24935659,23134463,16873885,16873884,23134460,18423632,18423631,24935571,32597558,31153752,23666116,17348268,17348267,255235798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388439, s2 = 6725957, dlinesl.size( ) = 44 s1 = 11388443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388443, s2 = 10998916, int(edited[s2]) = 0 s1 = 11388443, s2 = 10998916, d1 = 13, d2 = 22 Dl.O(d1) = 262846200 Dl.O(d2) = 255236871,5826680,254293265,1257805,715688,680675,379149,379151,214970,117816,64400,64405,64791,64795,118461,211011,254197199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388443, s2 = 10998916, dlinesl.size( ) = 24 s1 = 15894000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10478670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15005581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389187, s2 = 14004228, int(edited[s2]) = 0 s1 = 11389187, s2 = 14004228, d1 = 12, d2 = 40 Dl.O(d1) = 262918097,189536699 Dl.O(d2) = 213496854,208919306,203347723,203347724,208919310,213496856,217245635,220367100,223016831,225301908,265366942,217245632,213496854,208919306,203347723,196700138,188933538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389187, s2 = 14004228, dlinesl.size( ) = 30 s1 = 11389249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389249, s2 = 11654482, int(edited[s2]) = 0 s1 = 11389249, s2 = 11654482, d1 = 8, d2 = 7 Dl.O(d1) = 159176583,159176582,163314532,151436256,261044413,125417497,261918808,111618717,125417497,261918808,97700330,97700329,83842795,70318149,57627802,46283420,36430614,27971925,20808590,14913296,14913297,20808591,27971927,26672390,19855482,14225026,14225025,19855481,25269455 Dl.O(d2) = 13304606,9086206,5943413,3716442,2225428,2225427,2279813,1322227,1322222,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279839,2191122,2191123,3662068,254906685,6737866,4221854,2524335,1454751,823694,823692,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,823703,465242,465243,823705,465191,465188,823749,1454852,2524504,4222071,6738133,10254444,14913299,20808595,27971930,256726927,26672391,19855484,14225027,14225028,19855485,26672394,34665503,43939620,54682249,60315413,254630942,30404216,22999248,16759608,11712649,7814441,4957190,254092030,7008045,7008044,10619197,15368874,15346895,10601027,6994202,6994200,10601019,9447937,6194100,6194101,9447943,13780061,12315000,12314999,17331995,15346369,10600550,6993853,6993854,4395551,2634024,1521101,1521102,2634027,4395558,6994264,10601122,9995807,6996163,4396743,2634684,1521443,1521445,2634693,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,4396657,6996035,9413565,7284630,4593918,254757505,14420570,9919097,9919096,13738732,13738733,19231081,13739398,9413005,9413003,10619139,7008005,4405355,2640774,2640773,2349411,1361016,775732,775731,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,5971570,4083875,4083876,6517807,8641911,8641912,12718569,17948457,24338644,255212538,254622588,13249869,18635889,254883856,255605210,63983629,269022502,258314124,133247909,146483480,158851928,170203409,261887980,197021449,263659786,217381664,264836368,227354580,274570516,265915562,205364532,199104391,199104390,264413801,199104388,199104389,199104387,191702980,263790413,264413799,274029688,183095010,173245198,162146663,162146664,173245200,183095014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389249, s2 = 11654482, dlinesl.size( ) = 8 s1 = 11389257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389257, s2 = 11459694, int(edited[s2]) = 0 s1 = 11389257, s2 = 11459694, d1 = 5, d2 = 10 Dl.O(d1) = 170519722 Dl.O(d2) = 273442176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389257, s2 = 11459694, dlinesl.size( ) = 12 s1 = 7092576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389441, s2 = 14074986, int(edited[s2]) = 0 s1 = 11389441, s2 = 14074986, d1 = 22, d2 = 30 Dl.O(d1) = 262922917 Dl.O(d2) = 131439434,271475074,89415087,259373426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389441, s2 = 14074986, dlinesl.size( ) = 26 s1 = 11389485, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1000986, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11934526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11934526, s2 = 14850517, int(edited[s2]) = 0 s1 = 11934526, s2 = 14850517, d1 = 9, d2 = 3 Dl.O(d1) = 273977959,193089027,184726360,175149277,164356565,164356564,152489287,139768763,126393353,126393352,258394248,84603878,71040101,256120358,46957572,37077180,28573714,21345315,15370321,10620488,7009054,7009053,10620485,7485520,4730460,4730461,7485525,8970495,5856106,3655528,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918263,9552763,6268134,3924579,2349523,2349521,3924575,6268125,9552745,13918029,13918324,9553006,6268294,3924656,2349557,1361096,1361097,2349561,3924665,6268314 Dl.O(d2) = 20106104,14416046,13790298,13790297,18773220,13961754,9586086,9586085,9585974,6292300,6292297,9585970,13351298,18752197,15875062,13365364,13365363,18769014,17977650,13104497,13104498,18050199,12796029,8699729,5979224,5979223,254297872,13451964,18876834,21403049,15415993,15415994,18077911,13452155,9199515,9199516,13451855,18876743,24472300,20106832,20106834,18052727,12798129,8701253,8701254,12798132,18052730,18812857,13402327,11005612,254880501,254880499,17955857,20106744,14416872,9915424,9915426,11001038,11001034,15872059,21966130,21967036,21967035,20797599,20797598,15876425,11005336,7285365,7285366,11005338,15876428,17062776,11971040,11971041,17062778,255216542,255029604,7285135,7256939,7256940,6154267,6154268,5978696,5978694,9136021,5978510,3738615,2238304,1298008,740806,421049,421050,740810,1297960,1297958,2238229,3738489,3738258,3738256,5977822,8367755,8367759,12383047,17553473,13154642,255240837,255255899,9133153,5976748,3737663,2237777,254146457,420996,237597,237598,420998,740681,1297741,2237797,3737687,267803706,7284339,4593728,2763651,2763652,4593736,5853204,8966187,8742028,5691118,3540318,2107497,254141963,381954,210065,210064,212586,117868,64820,35599,35595,64800,112148,112145,205163,374182,672647,1194953,672655,374190,374189,672653,1194968,2078855,3498278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11934526, s2 = 14850517, dlinesl.size( ) = 2 s1 = 11934526, s2 = 14850517, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11934526, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11389599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389599, s2 = 14070774, int(edited[s2]) = 0 s1 = 11389599, s2 = 14070774, d1 = 8, d2 = 4 Dl.O(d1) = 261429999,159255582,159255581,159255582,170591257 Dl.O(d2) = 189617172,197303855,264625811,217505276,220577138,222626762,264227824,202222535,195347688,187307663,178070513,167607237,262358156,88163522,259526061,116216016,130126995,261309793,260737716,74548643,74548642,88163524,271401319,257670669,31577166,31577165,256540178,31791212,31577170,31577169,40264316,46746015,46746016,52451681,64319285,267786788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389599, s2 = 14070774, dlinesl.size( ) = 8 s1 = 11389665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389665, s2 = 11439878, int(edited[s2]) = 0 s1 = 11389665, s2 = 11439878, d1 = 12, d2 = 17 Dl.O(d1) = 263342427 Dl.O(d2) = 212034703,207146759,263916305,263171439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389665, s2 = 11439878, dlinesl.size( ) = 14 s1 = 11389751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389751, s2 = 14120174, int(edited[s2]) = 0 s1 = 11389751, s2 = 14120174, d1 = 9, d2 = 17 Dl.O(d1) = 260574724,261701100,273542146,220608938 Dl.O(d2) = 232008298,265714424,235326122,266113390,266328074,238522793,237831520,237071399,236239048,235326120,265714422,232008294,265557040,265714430,265859254,236239055,237071400,274723554,238045534,274744157,266681492,265348819,274177027,210992574,265034170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389751, s2 = 14120174, dlinesl.size( ) = 20 s1 = 11389811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389811, s2 = 11670763, int(edited[s2]) = 0 s1 = 11389811, s2 = 11670763, d1 = 25, d2 = 22 Dl.O(d1) = 170749180,272863734,197448688,203975804,209420429,209420430,209420426,203975795,197448682 Dl.O(d2) = 209420432,203975801,203975800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389811, s2 = 11670763, dlinesl.size( ) = 8 s1 = 11389937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389937, s2 = 11252498, int(edited[s2]) = 0 s1 = 11389937, s2 = 11252498, d1 = 3, d2 = 8 Dl.O(d1) = 159443987 Dl.O(d2) = 260079404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389937, s2 = 11252498, dlinesl.size( ) = 18 s1 = 11390057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390057, s2 = 11550888, int(edited[s2]) = 0 s1 = 11390057, s2 = 11550888, d1 = 17, d2 = 20 Dl.O(d1) = 262935601 Dl.O(d2) = 274310859,265792651,230677165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390057, s2 = 11550888, dlinesl.size( ) = 24 s1 = 11390343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390343, s2 = 11388074, int(edited[s2]) = 0 s1 = 11390343, s2 = 11388074, d1 = 31, d2 = 17 Dl.O(d1) = 273633550,197535784,264635309,217615098,274311827 Dl.O(d2) = 262423129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390497, s2 = 12659835, int(edited[s2]) = 0 s1 = 11390497, s2 = 12659835, d1 = 10, d2 = 10 Dl.O(d1) = 170914077,261207850,260030800,258789162,87164190,270337358,258789164,270576405,42997907,256432734,60798604,257207242,268246347,254446554,12057233,254574634,13498112,254179510,15500400,10719508,7082063,4458854,4458853,7082056,5338171,3281381,3281380,5338168,8273036,12249579,12384182,16650770,16650365,11618139,7737235,4898898,2952545,1712225,973023,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287474,10512431,15239116,256305917,256241330,36491823,254988122,6766638,4247550,4247552,6776421,10304519,9079374,9079375,9067784,5930620,3708238,2220707,2220708,2537366,2576398,2224476,2224475,3714835,2230132,254297203,5956028,9102686,10803235,15599417,20871753,14969495,10301682,10301683,14969496,20871754,25249232,18678491,13323065,9103052,9103051,9102310,5955718,5955719,4280122,4280124,6822708,6831799,10369543,10300367,255000073,15071263,10394486,10394485,15071261,254582374,29865422,23682095,17361827,17361826,254848430,26323355,19596900,14041554,14041553,19596899,20802612,19333096,13825018,13721328,13721327,19210041,25867710,33673604,255665172,38130558,38130559,255134624,42697977,48392433,49956840,254406566,254859214,17831770,17831771,19421040,13894803,11147241,7393616,7393615,254413684,22180557,22180442,16054236,254873286,4670978,4670979,7393580,11147182,16054252,11406696,11406694,16389004,21819337,21819338,19227341,19227340,24060624,17705727,12524083,12524084,17705733,21559803,28830589,37370429,31169672,28231433,22796222,17326073,17326074,23642788,22182008,22182009,24099551,24099550,30849139,24116699,17755651,12563690,8518809,8518808,12563688,12586378,8538685,8538683,5598701,3858093,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100740,1926512,1100758,617812,617813,1100766,1926578,3275505,5328929,8259653,8259652,12232193,17362144,12588476,8540643,8540642,12588474,17786016,24153218,31231465,23747632,17422179,12279913,12279914,12298972,12298973,17447736,17757540,12565488,12551233,8510051,5510328,5510327,8510047,12280702,17423606,17415805,12274973,12253344,8275481,8275480,8293918,5539111,3424352,3424353,5539114,5339620,5339619,8259310,8259311,12231690,17361466,17362272,12232282,12232279,13496975,9234019,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,12552613,12234588,8289672,5534834,3420361,3420362,5534843,8293841,8542468,5540099,5540097,8294021,5350815,3288620,1933972,1104684,619829,619826,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4464515,2682217,2682214,4464506,7090542,10731436,15516569,254400650 Dl.O(d2) = 170914077,261207850,260030800,258789162,87164190,270337358,258789164,270576405,42997907,256432734,60798604,257207242,268246347,254446554,12057233,254574634,13498112,254179510,15500400,10719508,7082063,4458854,4458853,7082056,5338171,3281381,3281380,5338168,8273036,12249579,12384182,16650770,16650365,11618139,7737235,4898898,2952545,1712225,973023,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287474,10512431,15239116,256305917,256241330,36491823,254988122,6766638,4247550,4247552,6776421,10304519,9079374,9079375,9067784,5930620,3708238,2220707,2220708,2537366,2576398,2224476,2224475,3714835,2230132,254297203,5956028,9102686,10803235,15599417,20871753,14969495,10301682,10301683,14969496,20871754,25249232,18678491,13323065,9103052,9103051,9102310,5955718,5955719,4280122,4280124,6822708,6831799,10369543,10300367,255000073,15071263,10394486,10394485,15071261,254582374,29865422,23682095,17361827,17361826,254848430,26323355,19596900,14041554,14041553,19596899,20802612,19333096,13825018,13721328,13721327,19210041,25867710,33673604,255665172,38130558,38130559,255134624,42697977,48392433,49956840,254406566,254859214,17831770,17831771,19421040,13894803,11147241,7393616,7393615,254413684,22180557,22180442,16054236,254873286,4670978,4670979,7393580,11147182,16054252,11406696,11406694,16389004,21819337,21819338,19227341,19227340,24060624,17705727,12524083,12524084,17705733,21559803,28830589,37370429,31169672,28231433,22796222,17326073,17326074,23642788,22182008,22182009,24099551,24099550,30849139,24116699,17755651,12563690,8518809,8518808,12563688,12586378,8538685,8538683,5598701,3858093,3858090,6165712,5339599,3282076,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100740,1926512,1100758,617812,617813,1100766,1926578,3275505,5328929,8259653,8259652,12232193,17362144,12588476,8540643,8540642,12588474,17786016,24153218,31231465,23747632,17422179,12279913,12279914,12298972,12298973,17447736,17757540,12565488,12551233,8510051,5510328,5510327,8510047,12280702,17423606,17415805,12274973,12253344,8275481,8275480,8293918,5539111,3424352,3424353,5539114,5339620,5339619,8259310,8259311,12231690,17361466,17362272,12232282,12232279,13496975,9234019,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,12552613,12234588,8289672,5534834,3420361,3420362,5534843,8293841,8542468,5540099,5540097,8294021,5350815,3288620,1933972,1104684,619829,619826,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4464515,2682217,2682214,4464506,7090542,10731436,15516569,254400650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390497, s2 = 12659835, dlinesl.size( ) = 2 s1 = 11390497, s2 = 12659835, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11390497, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 15687337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11390691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3921495, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11390955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390955, s2 = 5098962, int(edited[s2]) = 0 s1 = 11390955, s2 = 5098962, d1 = 36, d2 = 11 Dl.O(d1) = 262952553 Dl.O(d2) = 215866514,219200460,219200463,215866516,215866515,219200462,215866516,211835796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390955, s2 = 5098962, dlinesl.size( ) = 42 s1 = 11390979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390979, s2 = 11263610, int(edited[s2]) = 0 s1 = 11390979, s2 = 11263610, d1 = 9, d2 = 11 Dl.O(d1) = 160020549 Dl.O(d2) = 259648053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390979, s2 = 11263610, dlinesl.size( ) = 14 s1 = 11391007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11391007, s2 = 11000728, int(edited[s2]) = 0 s1 = 11391007, s2 = 11000728, d1 = 19, d2 = 16 Dl.O(d1) = 261984798,271575403 Dl.O(d2) = 254929008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11391007, s2 = 11000728, dlinesl.size( ) = 26 s1 = 11391051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11391051, s2 = 10407935, int(edited[s2]) = 0 s1 = 11391051, s2 = 10407935, d1 = 60, d2 = 2 Dl.O(d1) = 262939626,147179937,133957793,259511906,77780072 Dl.O(d2) = 33329187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11391051, s2 = 10407935, dlinesl.size( ) = 30 s1 = 9208890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13712356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11391849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11391849, s2 = 11340922, int(edited[s2]) = 0 s1 = 11391849, s2 = 11340922, d1 = 19, d2 = 8 Dl.O(d1) = 171848945,181813684,190549023,198089534,204514285 Dl.O(d2) = 272618412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11391849, s2 = 11340922, dlinesl.size( ) = 22 s1 = 11391867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14024829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2977974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2977974, s2 = 6977371, int(edited[s2]) = 0 s1 = 2977974, s2 = 6977371, d1 = 15, d2 = 23 Dl.O(d1) = 89376429,103473285,117604703,131404537,144625462,157021978 Dl.O(d2) = 91326295,105544040,260863659,119777490,105544037,105544010,105544011,105544030,105544031,119777487,128071094,114184273,259867188,271750832,119777489,261198785,114184254,114184255,261198787,133647444,128071106,114184274,105544007,91326262,259651379,86190925,72593409,59855740,59855739,270333383,114184241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2977974, s2 = 6977371, dlinesl.size( ) = 2 s1 = 2977974, s2 = 6977371, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 2977974, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 11392125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11392257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11392257, s2 = 11449698, int(edited[s2]) = 0 s1 = 11392257, s2 = 11449698, d1 = 93, d2 = 117 Dl.O(d1) = 172589099 Dl.O(d2) = 264165602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11392257, s2 = 11449698, dlinesl.size( ) = 30 s1 = 15227045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15229356, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15229356, s2 = 4559203, int(edited[s2]) = 0 s1 = 15229356, s2 = 4559203, d1 = 6, d2 = 6 Dl.O(d1) = 263002361,161729871,161729870,172887332,182785478 Dl.O(d2) = 263002361,161729871,161729870,172887332,182785478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15229356, s2 = 4559203, dlinesl.size( ) = 2 s1 = 15229356, s2 = 4559203, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15229356, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 4703565, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10834853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15229357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15229357, s2 = 8940469, int(edited[s2]) = 0 s1 = 15229357, s2 = 8940469, d1 = 32, d2 = 19 Dl.O(d1) = 152825691,164662244 Dl.O(d2) = 237410098,238137988,238800750,266639340,239252337,239252336,239827961,274858093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15229357, s2 = 8940469, dlinesl.size( ) = 2 s1 = 15229357, s2 = 8940469, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15229357, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 14205574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11393599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393599, s2 = 11274218, int(edited[s2]) = 0 s1 = 11393599, s2 = 11274218, d1 = 18, d2 = 16 Dl.O(d1) = 263797861,177587758 Dl.O(d2) = 272535636,270894911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393599, s2 = 11274218, dlinesl.size( ) = 22 s1 = 11393745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393745, s2 = 11214332, int(edited[s2]) = 0 s1 = 11393745, s2 = 11214332, d1 = 53, d2 = 51 Dl.O(d1) = 173552681,273060678,273828989 Dl.O(d2) = 269339842,2144055,3595416,5771752,254897757,255627973,32448688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393745, s2 = 11214332, dlinesl.size( ) = 60 s1 = 11393799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393799, s2 = 14120214, int(edited[s2]) = 0 s1 = 11393799, s2 = 14120214, d1 = 11, d2 = 13 Dl.O(d1) = 173564310,183360690,190265981 Dl.O(d2) = 171463717,262009809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393799, s2 = 14120214, dlinesl.size( ) = 14 s1 = 8636128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8636128, s2 = 14777657, int(edited[s2]) = 0 s1 = 8636128, s2 = 14777657, d1 = 64, d2 = 62 Dl.O(d1) = 166320459,176918893,186294494,194468083,201469477,207362925,207362922,201469476,194468082,194468081 Dl.O(d2) = 232676546,233828828,234877469,235832732,234877447,234877448,235832734,236702535,235832767,234877472,233828830,232676547,231401191,229977965,228373853,274071988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8636128, s2 = 14777657, dlinesl.size( ) = 50 s1 = 11393975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393975, s2 = 11570760, int(edited[s2]) = 0 s1 = 11393975, s2 = 11570760, d1 = 16, d2 = 34 Dl.O(d1) = 261682762,263121422 Dl.O(d2) = 266398039,236431527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393975, s2 = 11570760, dlinesl.size( ) = 34 s1 = 11394185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394185, s2 = 11076942, int(edited[s2]) = 0 s1 = 11394185, s2 = 11076942, d1 = 8, d2 = 13 Dl.O(d1) = 262092686 Dl.O(d2) = 259168964,257320294,256228916,28032070,20864392,20864391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394185, s2 = 11076942, dlinesl.size( ) = 8 s1 = 11394299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394299, s2 = 11194244, int(edited[s2]) = 0 s1 = 11394299, s2 = 11194244, d1 = 19, d2 = 15 Dl.O(d1) = 262264822,255755469,14521979,14521980,269196509 Dl.O(d2) = 261391732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394299, s2 = 11194244, dlinesl.size( ) = 20 s1 = 11394363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394363, s2 = 11300102, int(edited[s2]) = 0 s1 = 11394363, s2 = 11300102, d1 = 6, d2 = 13 Dl.O(d1) = 162683876 Dl.O(d2) = 271667965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394363, s2 = 11300102, dlinesl.size( ) = 14 s1 = 14746300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14746300, s2 = 6794398, int(edited[s2]) = 0 s1 = 14746300, s2 = 6794398, d1 = 1, d2 = 4 Dl.O(d1) = 148077107,160322706,171527747,181528463,190308307,264379579,214161787,217792026,220822912,223404164,273831604,215448899,211354361,206345717,263038848,215448896,215448900,214968297,210762860,205614301,199390009,199390008,205614299,210762859,214968295,215448892,218833356,215448891,264137382,224147278,226276351,228129438,229755582,229516848,227862952,265339130,223404163,223404164,273831604,215448899,211354361,206345717,200288507 Dl.O(d2) = 264692654,214968319,210762890,205614340,199390054,192033742,192033741,199390050,205614336,263444346,206345715,200288506,193115743,184756760,175183000,164394357,152531135,258549402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14746300, s2 = 6794398, dlinesl.size( ) = 2 s1 = 14746300, s2 = 6794398, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 14746300, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11394409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394409, s2 = 11084546, int(edited[s2]) = 0 s1 = 11394409, s2 = 11084546, d1 = 25, d2 = 23 Dl.O(d1) = 137610404,259357022,261152430,173713765 Dl.O(d2) = 150606485,272203788,259975202,270315310,257498212,256375646 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394413, s2 = 12341754, int(edited[s2]) = 0 s1 = 11394413, s2 = 12341754, d1 = 16, d2 = 8 Dl.O(d1) = 162705381,150607034,137610904,123932869,109797038,95595058,81561646,68071711,257267088,27212766,20284336,14554429,14554428,20284335,27212765,35336989,31427659,27285577,20350454,14607090,10051138,254988133,20350459,256768039 Dl.O(d2) = 38760789,30177693,255988156,11554073,11630562,16581901,16581900,11624454,7742752,7742754,11433452,7601633,4808856,4808857,7587234,7587235,11416344,254786037,4808539,2898073,2898074,254538833,7620236,11443508,7609878,7609879,11443509,8730052,5683520,4803584,2895227,2895231,4803624,5683612,254887569,18105657,256576561,28218884,256749712,17652821,12482280,8453085,5460591,3357251,3357252,5460595,8453102,12482309,17652866,18847489,23996735,23996402,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,7856842,11768052,11768017,7856827,7856826,11117656,11117659,268221351,29462634,38024700,31890824,255333046,62158608,270411591,143763743,156288739,158602917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394413, s2 = 12341754, dlinesl.size( ) = 22 s1 = 11394981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394981, s2 = 11171604, int(edited[s2]) = 0 s1 = 11394981, s2 = 11171604, d1 = 10, d2 = 12 Dl.O(d1) = 261599622,97730251 Dl.O(d2) = 257385628,36458167,27999650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394981, s2 = 11171604, dlinesl.size( ) = 14 s1 = 11395251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395251, s2 = 11505178, int(edited[s2]) = 0 s1 = 11395251, s2 = 11505178, d1 = 33, d2 = 31 Dl.O(d1) = 272512319,125535681,125535682,138867916,151570341,263060605,183962846,273558702 Dl.O(d2) = 259871339,125535682,138867916,151570341,263060605,264151695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395251, s2 = 11505178, dlinesl.size( ) = 28 s1 = 11395387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395387, s2 = 11517222, int(edited[s2]) = 0 s1 = 11395387, s2 = 11517222, d1 = 72, d2 = 69 Dl.O(d1) = 261055442,125576307 Dl.O(d2) = 264580019,265054117,216748040,212860037,212860036,216748039,216748033,216748032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395387, s2 = 11517222, dlinesl.size( ) = 2 s1 = 11395387, s2 = 11517222, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11395387, Dl.E( ) = 76, 2.69e-05 seconds used appending s1 = 11395409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395409, s2 = 14909614, int(edited[s2]) = 0 s1 = 11395409, s2 = 14909614, d1 = 72, d2 = 95 Dl.O(d1) = 174384054,262725972,199777957 Dl.O(d2) = 120128473,259330578,259949364,261677332,180999691,185498923,176027368,165335298,153544970,140869987,127514732,113643218,99629433,85680202,72093404,59359807,47968763,38055561,29491589,29491588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395409, s2 = 14909614, dlinesl.size( ) = 2 s1 = 11395409, s2 = 14909614, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11395409, Dl.E( ) = 110, 4.51e-05 seconds used appending s1 = 11395427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395427, s2 = 11564366, int(edited[s2]) = 0 s1 = 11395427, s2 = 11564366, d1 = 0, d2 = 27 Dl.O(d1) = 174387862,264154135 Dl.O(d2) = 265155865,223963811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395427, s2 = 11564366, dlinesl.size( ) = 34 s1 = 11395451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395451, s2 = 11326368, int(edited[s2]) = 0 s1 = 11395451, s2 = 11326368, d1 = 3, d2 = 11 Dl.O(d1) = 163552246 Dl.O(d2) = 262129216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395451, s2 = 11326368, dlinesl.size( ) = 18 s1 = 11395509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395509, s2 = 11201584, int(edited[s2]) = 0 s1 = 11395509, s2 = 11201584, d1 = 13, d2 = 7 Dl.O(d1) = 163566937 Dl.O(d2) = 125644122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395509, s2 = 11201584, dlinesl.size( ) = 14 s1 = 11395693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395693, s2 = 14160374, int(edited[s2]) = 0 s1 = 11395693, s2 = 14160374, d1 = 20, d2 = 18 Dl.O(d1) = 273385534 Dl.O(d2) = 265431738,232381451,266025662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395693, s2 = 14160374, dlinesl.size( ) = 32 s1 = 11395749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11936712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11395797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395797, s2 = 11206362, int(edited[s2]) = 0 s1 = 11395797, s2 = 11206362, d1 = 13, d2 = 3 Dl.O(d1) = 163645194,163645193,163645203,151770613 Dl.O(d2) = 97974439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395797, s2 = 11206362, dlinesl.size( ) = 14 s1 = 11396023, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11396511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396511, s2 = 11155128, int(edited[s2]) = 0 s1 = 11396511, s2 = 11155128, d1 = 11, d2 = 13 Dl.O(d1) = 261634781 Dl.O(d2) = 98329996,260001578,2605206,4348584,2604471,2604469,254493143,10497095,15217586,18078141,24506624,32080379,40852314,38112935,29550101,255455741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396511, s2 = 11155128, dlinesl.size( ) = 14 s1 = 11396995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396995, s2 = 11267902, int(edited[s2]) = 0 s1 = 11396995, s2 = 11267902, d1 = 13, d2 = 11 Dl.O(d1) = 261643629 Dl.O(d2) = 259292179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396995, s2 = 11267902, dlinesl.size( ) = 14 s1 = 11397043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11397043, s2 = 11503980, int(edited[s2]) = 0 s1 = 11397043, s2 = 11503980, d1 = 0, d2 = 65 Dl.O(d1) = 175106523,263491091,200240248 Dl.O(d2) = 177090732,263203693,194598391,201580993,274003399,216262735,265196012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11397043, s2 = 11503980, dlinesl.size( ) = 60 s1 = 11397101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15647189, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11397621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11397621, s2 = 10603823, int(edited[s2]) = 0 s1 = 11397621, s2 = 10603823, d1 = 13, d2 = 1 Dl.O(d1) = 164453394 Dl.O(d2) = 126525387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11397621, s2 = 10603823, dlinesl.size( ) = 16 s1 = 11397875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11397875, s2 = 11248658, int(edited[s2]) = 0 s1 = 11397875, s2 = 11248658, d1 = 14, d2 = 10 Dl.O(d1) = 164522140,152678043 Dl.O(d2) = 260622276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11397875, s2 = 11248658, dlinesl.size( ) = 2 s1 = 11397875, s2 = 11248658, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11397875, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 9498421, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8737600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11398191, s2 = 11112118, int(edited[s2]) = 0 s1 = 11398191, s2 = 11112118, d1 = 9, d2 = 10 Dl.O(d1) = 164593050 Dl.O(d2) = 260544220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11398191, s2 = 11112118, dlinesl.size( ) = 14 s1 = 14160729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11398703, s2 = 11499270, int(edited[s2]) = 0 s1 = 11398703, s2 = 11499270, d1 = 9, d2 = 2 Dl.O(d1) = 273336435,206547761,264738415,218981108,215612243,215612242,265182253 Dl.O(d2) = 215612244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11398703, s2 = 11499270, dlinesl.size( ) = 12 s1 = 11398891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11398891, s2 = 11561836, int(edited[s2]) = 0 s1 = 11398891, s2 = 11561836, d1 = 8, d2 = 5 Dl.O(d1) = 264194837,264973081,221839415 Dl.O(d2) = 266323833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11398891, s2 = 11561836, dlinesl.size( ) = 12 s1 = 11399217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11399217, s2 = 11531686, int(edited[s2]) = 0 s1 = 11399217, s2 = 11531686, d1 = 18, d2 = 10 Dl.O(d1) = 263521519,200694718,206695459,211653335,215706086 Dl.O(d2) = 224319043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11399217, s2 = 11531686, dlinesl.size( ) = 14 s1 = 14721481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14721481, s2 = 4358638, int(edited[s2]) = 0 s1 = 14721481, s2 = 4358638, d1 = 35, d2 = 22 Dl.O(d1) = 261141219 Dl.O(d2) = 168423902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14721481, s2 = 4358638, dlinesl.size( ) = 44 s1 = 11399431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13720982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11399537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11399547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11399547, s2 = 11937919, int(edited[s2]) = 0 s1 = 11399547, s2 = 11937919, d1 = 1, d2 = 1 Dl.O(d1) = 165125124,153313845,140634733,127288672,113429687,113429688,127288671,113429686,99427476 Dl.O(d2) = 165125124,153313845,140634733,127288672,113429687,113429688,127288671,113429686,99427476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11399547, s2 = 11937919, dlinesl.size( ) = 2 s1 = 11399547, s2 = 11937919, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11399547, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11937920, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6999524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6999524, s2 = 10263204, int(edited[s2]) = 0 s1 = 6999524, s2 = 10263204, d1 = 20, d2 = 30 Dl.O(d1) = 261168937 Dl.O(d2) = 199075923,263285970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6999524, s2 = 10263204, dlinesl.size( ) = 38 s1 = 11400331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10931212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400369, s2 = 11275364, int(edited[s2]) = 0 s1 = 11400369, s2 = 11275364, d1 = 12, d2 = 0 Dl.O(d1) = 263121470 Dl.O(d2) = 101235369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400369, s2 = 11275364, dlinesl.size( ) = 14 s1 = 11400445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400619, s2 = 10368244, int(edited[s2]) = 0 s1 = 11400619, s2 = 10368244, d1 = 10, d2 = 6 Dl.O(d1) = 176137628,263543893,200935263,264129602,263899405,206907185,206907183,274169800 Dl.O(d2) = 226531999,228360354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400619, s2 = 10368244, dlinesl.size( ) = 14 s1 = 11400765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400847, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15159610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15159610, s2 = 11132068, int(edited[s2]) = 0 s1 = 15159610, s2 = 11132068, d1 = 5, d2 = 7 Dl.O(d1) = 114051177,127932256,141293536,153965463,153965464,153965465,165739284,176402148,176402150,185840003,181464607,273011402,78455859,65172806 Dl.O(d2) = 257809460,13747795,254664717,3861859,2313505,2313506,2415581,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,3862013,3886180,2415723,2415725,4031272,6425683,9772865,13745548,19167954,13687647,255282365,25817746,33617852,33629854,42658844,255677556,33710586,26656123,19842275,19431194,19431192,25753939,19239235,13745608,9420424,6172481,3862272,2313662,2313658,3862171,3862016,2313565,1342032,1342034,2313528,3861692,255693139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15159610, s2 = 11132068, dlinesl.size( ) = 2 s1 = 15159610, s2 = 11132068, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 15159610, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13722888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11401369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401369, s2 = 11438176, int(edited[s2]) = 0 s1 = 11401369, s2 = 11438176, d1 = 20, d2 = 14 Dl.O(d1) = 262750625,100411148,86454073,262275017,263575387 Dl.O(d2) = 261762253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401369, s2 = 11438176, dlinesl.size( ) = 30 s1 = 11401423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401423, s2 = 11556424, int(edited[s2]) = 0 s1 = 11401423, s2 = 11556424, d1 = 0, d2 = 1 Dl.O(d1) = 176489128,185919748,261903032 Dl.O(d2) = 185919749,185919748,274367898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401423, s2 = 11556424, dlinesl.size( ) = 2 s1 = 11401423, s2 = 11556424, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11401423, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 11401893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402033, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11402107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402417, s2 = 14876696, int(edited[s2]) = 0 s1 = 11402417, s2 = 14876696, d1 = 17, d2 = 30 Dl.O(d1) = 264242523 Dl.O(d2) = 263107448,152749240,140059214,260537708,58633370,256334484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402417, s2 = 14876696, dlinesl.size( ) = 24 s1 = 11402751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11939140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11939140, s2 = 3170541, int(edited[s2]) = 0 s1 = 11939140, s2 = 3170541, d1 = 13, d2 = 29 Dl.O(d1) = 33239252,42200328,52560394,64435683,77604525,91534512 Dl.O(d2) = 217577708,220637148,223239791,225490711,227449366,229162678,230676039,229979110,228375082,226548207,224451287,222037050,219225341,215893658,264266298,200971864,193898808,185646922,272889030,165513146,153736972,141071040,271372492,99834457,99834456,113850031,127720706,141071039,153736971,141071041,127720709,127720707,127720708,271372494,99834459,85881156,270842023,85881155,72289319,59555123,59555124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11939140, s2 = 3170541, dlinesl.size( ) = 2 s1 = 11939140, s2 = 3170541, "passes" = passes Sat Dec 09 04:19:14 2017: s1 = 11939140, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 11403121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403121, s2 = 6692598, int(edited[s2]) = 0 s1 = 11403121, s2 = 6692598, d1 = 36, d2 = 40 Dl.O(d1) = 259671730 Dl.O(d2) = 257427776,29190359,21878526,15803035,15803034,21878524,25711887,19084082,13625099,13625098,19084078,22105497,29438632,37735024,30868066,255410650,17165903,21192176,28413823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403121, s2 = 6692598, dlinesl.size( ) = 8 s1 = 11403193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403193, s2 = 10294574, int(edited[s2]) = 0 s1 = 11403193, s2 = 10294574, d1 = 0, d2 = 18 Dl.O(d1) = 166438452,166438453,177024209,186384688,194543968,201533004,207415601,212266726,265223529,224674321,266011999,232805653,274727518 Dl.O(d2) = 243900745,267260520,267203944,267103294,239138473,238503550,274783084,235297865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403193, s2 = 10294574, dlinesl.size( ) = 18 s1 = 11403305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403305, s2 = 11219580, int(edited[s2]) = 0 s1 = 11403305, s2 = 11219580, d1 = 12, d2 = 19 Dl.O(d1) = 258832566 Dl.O(d2) = 86849217,73236324,60489636,49086592,39156964,30559755,255142410,73236319,269371036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403305, s2 = 11219580, dlinesl.size( ) = 14 s1 = 13725254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11403397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403397, s2 = 11459704, int(edited[s2]) = 0 s1 = 11403397, s2 = 11459704, d1 = 2, d2 = 6 Dl.O(d1) = 177078682 Dl.O(d2) = 263335494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403397, s2 = 11459704, dlinesl.size( ) = 12 s1 = 11403413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403413, s2 = 11474248, int(edited[s2]) = 0 s1 = 11403413, s2 = 11474248, d1 = 17, d2 = 12 Dl.O(d1) = 263592181 Dl.O(d2) = 262073101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403413, s2 = 11474248, dlinesl.size( ) = 18 s1 = 11403591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403591, s2 = 11507880, int(edited[s2]) = 0 s1 = 11403591, s2 = 11507880, d1 = 0, d2 = 13 Dl.O(d1) = 177134989,186484363,194632644,264792555 Dl.O(d2) = 265004905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403591, s2 = 11507880, dlinesl.size( ) = 20 s1 = 11403613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403613, s2 = 11439356, int(edited[s2]) = 0 s1 = 11403613, s2 = 11439356, d1 = 11, d2 = 8 Dl.O(d1) = 177142154,186490778 Dl.O(d2) = 265225736,194596738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403613, s2 = 11439356, dlinesl.size( ) = 12 s1 = 11403635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403635, s2 = 11528904, int(edited[s2]) = 0 s1 = 11403635, s2 = 11528904, d1 = 16, d2 = 15 Dl.O(d1) = 262550670 Dl.O(d2) = 226779503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403635, s2 = 11528904, dlinesl.size( ) = 34 s1 = 11403761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403761, s2 = 14929166, int(edited[s2]) = 0 s1 = 11403761, s2 = 14929166, d1 = 5, d2 = 12 Dl.O(d1) = 177274269 Dl.O(d2) = 260195950,100224584,100224585,114257751,260195952,127684041,135651803,121708310,121708311,121708275,107327557,107327558,121708277,135651781,121708283,107327562,107327563,113816550,113816551,127684045,141031689,153697295,161214740,161214739,161214738,165475834,153697304,141031696,141031697,129626982,260934187,78817138,65486702,65486703,78817140,259718931,78817153,78817154,92923286,107327573,121708301,261362360,121708314,107327578,259088001,78817158,92923289,107327576,121708308,135651800,144691933,144691934,157093011,161214743,260792650,141031687,153697292,148899685,135651760,135651759,272323044,161214751,148899697,135651787,121708292,107327568,107327569,107327567,92923275,78817148,65486707,65486706,78817145,92923267,107327554,107327584,259718937,92923281,107327519,107327531,107327522,107327521,121708247,135651757,121708304,261501073,148899679,161214734,161214747,148899699,135651794,135651795,148899701,161214754,161214763,161214762,161214726,148899669,135651735,121708225,121708223,121708270,135651777,121708282,107327561,92923271,78817150,78817151,259718935,107327586,92923296,78817162,65486712,53465903,42990784,33936461,256689817,53465896,65486700,78817119,269554441,53465891,65486688,78817117,92923224,107327507,121708231,260337303,92923290,92923291,107327581,121708233,121708234,135651746,148899675,262035567,135651738,135651740,261203141,128143466,141503695,148899666,262035565,135651763,260337293,107327520,107327515,92923234,78817122,65486691,65486692,78817124,92923237,107327516,121708244,135651753,126405450,126405451,260734800,116171044,121708241,107327513,259408254,116171043,102113482,102113481,116171040,130078700,143407002,135651741,135651742,126405446,112535483,98541134,84616560,71052375,58336403,46968441,37087002,28582287,28582288,37087004,46968442,58336407,71052381,84616568,98541150,112535472,98541128,84616555,259298123,112535474,102113507,102113508,116171056,130078716,143407004,143406998,130078706,116171046,102113488,88125681,88125682,259918522,112535468,98541125,84616553,71052368,58336398,58336397,258671545,98541124,98541144,84616565,84616564,98541141,92923229,259523439,88125677,100244109,100244108,114275299,126405448,113794281,113794280,127662382,126405442,260025586,102113517,88125724,88125719,88125718,88125680,74513424,61731690,50253095,50253096,61731692,74513427,84616563,84616562,98541138,100224592,100224593,114257757,126405441,112535486,112535485,120059702,259470166,98541152,98541153,86258348,259408259,113794277,113794278,116171064,102113513,102113512,88125729,88125690,74513443,61731707,61731708,74513446,61731719,50253112,50253111,61731715,74513458,74513434,61731699,50253102,40233535,40233534,50253100,61731697,58336411,58336410,71052385,74513438,88125701,102113501,114257748,128143491,139779722,126405439,112535460,112535462,98541158,84616572,71052383,71052382,84616570,98541155,100224587,99780256,85826937,72234513,72234514,85826940,88125706,74513454,74513452,88125717,99780268,86279812,86279811,88125727,88125726,74513466,61731720,61731721,72234536,85826960,74513451,61731711,59941228,59941229,72680527,86279819,256969500,85826912,72234524,72234521,257518595,38199610,29632865,22280808,16137148,16137147,22280804,29632854,38199588,48110850,59499014,72234479,85826904,99780239,86279606,72680167,59940823,59940824,59499089,59499088,257550296,72680559,59941258,59941259,257550306,48548885,256426286,85826991,86279779,86279778,99780299,99780300,100244123,99780246,85826918,72680502,59941213,48548894,38634544,256684560,59941218,48548903,38634550,38634551,37131290,28619397,28619396,37131286,38634556,38634555,48548914,59941239,72680537,86279824,100244121,91699011,91699012,105906275,100244128,100244130,100224528,86258249,258783024,86279786,72680496,59941206,48548889,38634542,30060714,30060713,38634540,48548880,59941199,59499080,48110902,48110903,59499085,72234569,85826975,99780290,86279799,269109834,64588703,72680182,59941200,59941201,61197342,49718745,49718743,257242528,87573806,86279789,86279787,258159260,86279782,258783038,114275243,105906268,105906267,100244024,86279615,72680180,59940839,48548505,257551969,48548513,48548512,59940844,72680186,270854957,271086954,85379070,86279620,72680184,59940866,59940865,72680210,72680582,72680584,60199129,48802318,38880051,38880052,48802320,60199132,52688186,42301412,42301413,52688189,64588700,77771546,86279766,72680458,72680459,86279652,85607563,85607564,99557795,91699005,77771544,64588692,257208627,42301410,38634223,30060462,268645723,48548508,59940841,59941165,59941164,72680453,86279659,72680226,59940889,59940890,72680206,257835102,257551975,48548961,59941282,72680588,60199127,60199126,60199133,52688192,269510615,269510613,42301407,33320737,33320736,42301404,42301420,33320749,33320751,42301423,52688201,258415495,52688182,42301409,42301408,48548825,38634470,30060637,30060636,38634467,269352865,72680216,59940884,48548549,38634279,38634280,38634288,30060530,30060529,38634285,48548551,256971195,38634594,257551983,72680591,257799773,42301417,33320743,33320741,38634246,255929555,22683492,30060485,30060365,22683393,22683391,30060362,38634126,38634485,38634493,30060657,22683627,16484928,11485863,11485862,11485843,11485842,11485865,16484932,11485961,7639573,4833304,4833306,7639430,7639431,11485742,7639451,4833231,2912437,1689533,1689532,2912434,4833227,4833233,254790205,16484809,22683466,22683460,16485005,16485006,22683694,30060711,30060357,30060359,22683728,16485028,254790225,7639555,255107505,22683407,16484768,268091515,11485924,11485806,7639475,4833249,2912446,1689539,1689540,960807,960806,1689552,2912465,4833275,7639523,11485896,11485897,16484773,11485758,7639439,4833220,4833219,7639438,11485754,16484770,16484752,11485736,11485735,16484749,22683371,22683366,22683365,30060335,30060745,22683719,22683718,22683382,22683383,22683664,22683594,16484899,11485837,11485836,11485938,7639561,7639560,11485947,16484948,11485930,11485932,16484946,16484945,16485002,11485915,11485914,16484997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403761, s2 = 14929166, dlinesl.size( ) = 8 s1 = 11403799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13725688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11403847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403847, s2 = 11155508, int(edited[s2]) = 0 s1 = 11403847, s2 = 11155508, d1 = 24, d2 = 22 Dl.O(d1) = 273148636,166760037 Dl.O(d2) = 260709702,101768561,258251148,64330252,256513124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403847, s2 = 11155508, dlinesl.size( ) = 20 s1 = 11403931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11404029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14223768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14223768, s2 = 15032587, int(edited[s2]) = 0 s1 = 14223768, s2 = 15032587, d1 = 26, d2 = 35 Dl.O(d1) = 260098904,166331886 Dl.O(d2) = 233937314,266140098,236788537,236788535,235925186,266249934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14223768, s2 = 15032587, dlinesl.size( ) = 18 s1 = 11404597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10255289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11404961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11404961, s2 = 14099334, int(edited[s2]) = 0 s1 = 11404961, s2 = 14099334, d1 = 10, d2 = 49 Dl.O(d1) = 167214316 Dl.O(d2) = 201991329,195076056,195076053,262504214,167214313,155582207,155582208,260317238,258444216,61395865,61395863,64182954,259645363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11404961, s2 = 14099334, dlinesl.size( ) = 50 s1 = 11405129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405129, s2 = 10469478, int(edited[s2]) = 0 s1 = 11405129, s2 = 10469478, d1 = 0, d2 = 6 Dl.O(d1) = 177751457 Dl.O(d2) = 202018377,202018378,207832743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405129, s2 = 10469478, dlinesl.size( ) = 14 s1 = 13727214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13727214, s2 = 10138520, int(edited[s2]) = 0 s1 = 13727214, s2 = 10138520, d1 = 12, d2 = 10 Dl.O(d1) = 260109442,155634801,155634797,155634796,167263733,176109813,176109814,262330826,200914877,206628326,200612625,193833494,185574133,176109820,165427760,153646838,140979582,127630056,262231653,176109814,262330826,200914877,206628326,206628325,263966790,273382452,263231988,206628326,200612625,193833494,185574133,176109820,165427760,153646838,140979582,261716565,165427757,176109816,185574130,193833490,273382452,193833489,263897442,185574134,176109820,165427760,153646838,140979582,261716565,165427757,176109816,263542006,185574131,193833492,200914878,206628323,200612623,193481305,193481306,273856815,274342601,212627926,207835931,202021858,195109095 Dl.O(d2) = 195109096,202021859,195109108,187029763,177756017,261822528,272600090,99129553,259336201,85206777,258710381,47538743,256355435,21784822,15726247,10889924,7201597,4537177,4537178,7201598,254971355,6485391,6485390,9872170,7797313,7797314,11691238,16733964,16014443,16014444,14383800,9889419,9889420,9875185,9875182,255324483,15731397,10894878,255055021,16779542,11732056,7832743,7832744,255127733,7976765,5076199,5076198,7976764,11922598,14376583,14376584,14385819,9891355,7699882,7699881,8309133,8309246,5361493,5361494,7201616,4537188,2727236,1580116,1580115,2727234,267886159,8313675,255101194,4972055,4972053,7832810,11569447,7832719,7832717,9876809,9888608,9872092,6485331,6485330,6499812,6485304,6485305,9872043,14365366,10472322,7697646,254795663,16584902,21663714,15628168,15628169,255739677,20058570,14373786,14373785,20058568,23020538,255427317,10895585,10895586,15731900,14373098,14373099,10890654,10890655,254686635,6489011,9877349,7205514,6500071,4072993,4072836,4072838,6485304,6485307,7198909,7198911,6905001,5562459,4062775,2431454,2431456,2728204,2728203,4538946,7204510,10889986,7701349,4874145,2937061,2937066,4874162,7701385,11568675,7700155,7700153,11568670,7701777,4874376,4874375,7701773,11570888,15608886,10798937,10798936,9866169,9866170,9887388,255325961,15626823,10813203,7145782,4499600,4499601,2727245,1580121,898267,506741,506739,898262,1580112,2727224,4537163,7201575,9901547,11749666,14384097,9889736,9889735,9880942,6491732,6491735,7199721,7199720,9849142,6488771,6488773,9877014,10888377,9877634,9877631,9868924,6482920,6482921,9868925,14362224,9875216,9875215,9888947,9888946,10894120,11922248,254748353,2727196,1580100,898252,506732,284157,284158,506734,898254,1580102,2727201,4537113,6504989,6504988,9865614,14357879,14374244,10812908,7205240,4539477,2728499,1580790,898634,506925,506926,898639,1580806,2728535,4539537,7205332,10894696,9875388,6487521,6487522,4499420,2703636,2703635,4499415,4071009,2435998,2435999,4071012,4971834,3003011,1743989,1743987,3003017,4971847,6488667,6488666,9876854,9964357,14391313,10894027,10894031,10886167,7198413,7198412,10885327,14395390,9901543,6507979,6507980,9901544,10889369,10889368,9871293,9871292,6506306,4077150,4077149,6506302,9899493,14393220,20075655,16585926,11566099,9870422,6484021,6484020,9870420,14363827,255245086,14378945,9884932,6494817,4069713,2435260,2435262,4069719,4065031,2432627,2432628,2438308,4075137,2438304,1409833,1409832,2438299,4075132,6503292,9882786,9882785,11118921,9892329,6500426,6500063,6500061,7197285,4534388,4534387,7197280,10884727,12581936,8534937,5533084,5533085,8534940,12581944,15627198,10813623,7146129,7146130,10813625,10886722,255054245,20052902,14371049,9877019,6488774,6488773,9877014,10888377,9877634,6489230,6489232,6491770,6491771,254341327,1580123,898268,898269,1580126,2727254,4537223,7201678,10812819,7199026,4535498,2726282,1579632,898024,898025,506750,284166,156987,156984,284158,506734,898254,1580102,2727201,4537113,6502169,6502170,9894475,14377084,14367621,9873770,9873771,11402062,9871828,6485131,6485129,9871824,6535272,6535273,9895070,14389297,20058649,14373878,9879849,6490894,4067142,4067141,6490891,9879844,7832426,4971790,4971788,3003006,1743990,1743987,3003017,4971847,6488667,6488666,9876854,9964357,14391313,10894027,10894031,10886167,7198413,7198412,10885327,14395390,9901543,6507979,6507977,9901540,14395386,17451762,13555665,9280505,6497186,4071203,2436122,1408777,801493,454161,454160,801491,1408774,2436116,254359013,2888498,4066804,2433581,2433580,4066802,6490305,7571453,4788389,4788388,4534952,2725994,1579478,897939,506578,284083,156954,86219,86220,156963,284112,506638,898054,753886,428276,428278,753889,1321432,2278566,2726830,4535015,4535013,2942722,1706535,1706534,2726040,2726038,4535042,5030036,3044965,3044968,5030068,7201378,7201361,7201362,9891905,6500062,6500061,7197285,4534388,4534383,7197271,10884718,15721269,255325215,14375609,9881617,9881618,9889285,6498064,267946863,14372570,9878607,267870883,4066615,6489983,6492353,6492361,4068045,4068043,6492371,9881826,12373627,17542737,15717221,10880281,7193386,4531710,4531712,7193388,10880284,9894311,6502025,6502024,9894309,14388520,20071720,26955804,26945421,20060125,20060126,15731336,10894792,10894793,14395384,13555870,9280668,6079301,6079299,5076006,5076003,6497139,7976586,7976592,10883265,9895208,9895209,6940942,4362035,4060770,4060771,6480275,4658815,2806806,1628325,1628327,2806815,4658824,4658995,4658984,2806915,1628370,1628369,2434636,2434635,4068665,6493252,9882194,6492631,4068204,2434332,1407847,801051,801052,1407805,1407798,801028,801030,1407803,2434237,4068043,6492371,9881826,12373627,17542737,15717221,10880281,7193386,4531710,4531712,7193387,9882151,6492596,6492597,9882153,7700766,6480331,6480332,4066576,2433449,1407421,1407422,2433452,4066583,4070060,4066665,4066666,2433550,2433551,2435491,4070082,2734740,1584613,900871,900873,1584618,2734752,267886529,15765021,17846898,16658602,16658603,14229234,9781860,9781862,14229272,10259173,8175525,5245143,5245145,254245558,17266076,254360780,33585277,30446865,23039186,267766944,254360782,9690846,6374173,6374174,9690849,14089399,19656339,22594623,16411395,11427163,7596171,4804996,4804995,7596168,11427157,254360408,14198221,19821132,24821572,18330093,13011744,8858882,8858881,13011742,18330088,24821563,26390359,19656018,17124889,12034532,12034533,16854528,254537486,30532206,39130827,36715620,28222826,24569264,24569265,24569346,18128679,18128676,21402804,15415798,15415795,16270730,16270727,22352993,22352992,29708175,37512124,37512125,47419884,58807156,257185628,48014701,38104425,255892549,16068853,11157834,7400765,4675243,4675244,7400715,11157759,16068931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13727214, s2 = 10138520, dlinesl.size( ) = 14 s1 = 16326257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15607731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13727458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11405529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405529, s2 = 12693751, int(edited[s2]) = 0 s1 = 11405529, s2 = 12693751, d1 = 12, d2 = 9 Dl.O(d1) = 177881409,187152111 Dl.O(d2) = 190114867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405529, s2 = 12693751, dlinesl.size( ) = 2 s1 = 11405529, s2 = 12693751, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11405529, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 15415600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8683236, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11405613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405613, s2 = 11292508, int(edited[s2]) = 0 s1 = 11405613, s2 = 11292508, d1 = 8, d2 = 5 Dl.O(d1) = 261447310 Dl.O(d2) = 129885975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405613, s2 = 11292508, dlinesl.size( ) = 8 s1 = 11405751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405751, s2 = 10633694, int(edited[s2]) = 0 s1 = 11405751, s2 = 10633694, d1 = 25, d2 = 26 Dl.O(d1) = 264494213 Dl.O(d2) = 185432122,175948444,165246021,153446522,140766532,127410715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405751, s2 = 10633694, dlinesl.size( ) = 32 s1 = 11405899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405899, s2 = 11512278, int(edited[s2]) = 0 s1 = 11405899, s2 = 11512278, d1 = 0, d2 = 17 Dl.O(d1) = 178005646 Dl.O(d2) = 264292387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405899, s2 = 11512278, dlinesl.size( ) = 20 s1 = 11406067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406067, s2 = 14022634, int(edited[s2]) = 0 s1 = 11406067, s2 = 14022634, d1 = 23, d2 = 24 Dl.O(d1) = 263136152,61577400,256911530,48867322,38947566,30361461,255874226,16208582,11267346,11267347,7479650,7479651,11267407,16208691,16208655,16208653,22361732,22363379,22363381,19581450,14028859,9644780,9644779,9921904,14423479,12329645,12329641,17486776,18879154,22361802,29717878,25070973,18879186,255020706,28408076,256553214,15402214,15595646,10788736,7128084,4487581,2696052,2696050,4487574,7128073,10788715,15595609,21626428,19439756,19439755,24156460,17950490,14608807,10052265,10052267,10789023,10789024,13930165,13338158,9113273,5962761,5962759,9113265,9105470,9105472,13326385,15388469,10634730,10634731,14923543,10262063,10262062,14923535,10262090,10262089,14923590,14926876,11742979,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,8002114,5094350,5094351,8002116,11953700,17039982,23300116,254711868,26983588,254909202,20907611,15002557,13298368,10043738,10043739,13309000,9090253,5946751,5946752,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,12937420,254592784,20939530,20939531,27278603,20342918,20342919,269653667,263448007,199431117,264432907,214998559,218455100 Dl.O(d2) = 225019877,222684837,219965320,216742954,212854782,212854784,216742958,219965326,222684842,222684860,222684861,225019907,265904671,274705452,228817347,265610619,222684858,219965338,216742972,216742973,264828401,264828399,264579405,202331868,195471292,187450071,178232447,178232449,187450074,195471298,202331876,208099432,212854770,216742941,219965311,265442609,265442621,222684864,225019860,222684822,222684821,265764079,228817352,274675342,231760932,230376204,228817345,228817344,228817326,227047957,225019902,225019903,265610623,265257159,216742993,216742992,265257157,274364325,219965309,265258306,195471296,187450073,187450074,195471298,202331876,208099432,212854770,212854771,212854772,216742942,219965314,222684820,222684884,219965361,216742997,212854815,208099460,202331900,195471313,187450084,178232452,167786835,261863629,261324700,12649060,12649061,17862165,17882470,17882158,17862073,254874751,3462469,5580584,8588357,255201343,24237335,25406455,33146739,42100678,42100647,33146696,33146697,40443111,31748516,24237417,256044351,40443114,31772496,255593828,17882635,18816118,25406387,19811783,14191020,9755310,9755309,14191015,19811769,26621962,33146667,25406407,25406408,26637093,26637094,26621867,19811702,14190972,14190971,19811701,26621866,32020785,32020786,40777070,50893313,42034394,33086915,25354258,18772013,254917525,3738613,2238302,1298008,740806,740803,1297997,2238292,3738595,5978479,9135978,9393203,9393204,6153821,6153820,9137617,9135898,5978416,5978415,9135896,8629894,8629895,9393915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406067, s2 = 14022634, dlinesl.size( ) = 12 s1 = 11406195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11406215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406215, s2 = 14070716, int(edited[s2]) = 0 s1 = 11406215, s2 = 14070716, d1 = 11, d2 = 17 Dl.O(d1) = 261854836,130179469 Dl.O(d2) = 102244306,259940934,24123325,24123324,31628727,40316481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406215, s2 = 14070716, dlinesl.size( ) = 8 s1 = 11406467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406467, s2 = 11484418, int(edited[s2]) = 0 s1 = 11406467, s2 = 11484418, d1 = 11, d2 = 0 Dl.O(d1) = 178190963,187416023,195442911 Dl.O(d2) = 195442908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406467, s2 = 11484418, dlinesl.size( ) = 8 s1 = 11406571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4916739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11406669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406669, s2 = 11273876, int(edited[s2]) = 0 s1 = 11406669, s2 = 11273876, d1 = 13, d2 = 8 Dl.O(d1) = 167822195,167822194 Dl.O(d2) = 262182448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406669, s2 = 11273876, dlinesl.size( ) = 14 s1 = 13728894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14206280, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11406857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406857, s2 = 14026846, int(edited[s2]) = 0 s1 = 11406857, s2 = 14026846, d1 = 17, d2 = 25 Dl.O(d1) = 259954506 Dl.O(d2) = 50577936,255053910,31843749,24712359,18240326,18240325,21822893,21822892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406857, s2 = 14026846, dlinesl.size( ) = 26 s1 = 11406967, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11407143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407143, s2 = 11461334, int(edited[s2]) = 0 s1 = 11407143, s2 = 11461334, d1 = 7, d2 = 0 Dl.O(d1) = 263280561 Dl.O(d2) = 156836072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407143, s2 = 11461334, dlinesl.size( ) = 14 s1 = 11407273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407273, s2 = 11023184, int(edited[s2]) = 0 s1 = 11407273, s2 = 11023184, d1 = 12, d2 = 18 Dl.O(d1) = 261956922 Dl.O(d2) = 258385280,62613482,75551176,78346299,255650052,33611091,25812226,19163667,19163668,25812225,25812223,26309028,19584141,14030578,9645945,9645942,14030569,19584132,16519197,16519198,12586098,8538496,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742980,14484372,14925655,10263485,10263484,14925652,15555629,10759459,7108970,4475878,4475879,7108973,10263876,6744441,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813446,1429847,2473553,3713210,3713209,5938464,9080062,13298278,18691416,20344770,15297846,10562386,6966587,6966588,10562391,11509451,267784812,4231037,2529805,2529806,4137226,4137225,6604488,6604904,6604905,10051527,14607661,14601607,10047213,10047212,10692866,10692867,15464267,15031242,15031243,20870089,20870088,20881366,254402252,9909424,9909426,11105793,254764220,2802918,1625995,1625994,2802916,4652814,255074629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407273, s2 = 11023184, dlinesl.size( ) = 20 s1 = 11407403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407403, s2 = 12512345, int(edited[s2]) = 0 s1 = 11407403, s2 = 12512345, d1 = 9, d2 = 4 Dl.O(d1) = 168468129,157020965 Dl.O(d2) = 158895945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407403, s2 = 12512345, dlinesl.size( ) = 14 s1 = 11407525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407525, s2 = 92487, int(edited[s2]) = 0 s1 = 11407525, s2 = 92487, d1 = 50, d2 = 70 Dl.O(d1) = 262665212 Dl.O(d2) = 10268828,10362918,10988455,255064341,8595989,5585362,3465235,2054905,2054904,3465234,254875641,258916197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407525, s2 = 92487, dlinesl.size( ) = 14 s1 = 11407603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407603, s2 = 10846823, int(edited[s2]) = 0 s1 = 11407603, s2 = 10846823, d1 = 5, d2 = 10 Dl.O(d1) = 178876421,187968064 Dl.O(d2) = 193019438,193019439,187968065,187968064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 15245426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407865, s2 = 11349282, int(edited[s2]) = 0 s1 = 11407865, s2 = 11349282, d1 = 5, d2 = 2 Dl.O(d1) = 169003747 Dl.O(d2) = 157542009,145108023,131849634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407865, s2 = 11349282, dlinesl.size( ) = 2 s1 = 11407865, s2 = 11349282, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11407865, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14656971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11408047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408047, s2 = 14867562, int(edited[s2]) = 0 s1 = 11408047, s2 = 14867562, d1 = 8, d2 = 11 Dl.O(d1) = 262192664 Dl.O(d2) = 24777100,24777101,32400625,41224527,50436466,48834304,38913406,37201134,28678301,21429747,15436665,10671794,7048502,4436318,2663859,2638623,1538196,873212,873211,254334329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408047, s2 = 14867562, dlinesl.size( ) = 12 s1 = 11408069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408069, s2 = 15015764, int(edited[s2]) = 0 s1 = 11408069, s2 = 15015764, d1 = 1, d2 = 1 Dl.O(d1) = 273698276,203031555,208667255,213298875,213298874,217090006,214963883,264429525 Dl.O(d2) = 273698276,203031555,208667255,213298875,213298874,217090006,214963883,264429525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408069, s2 = 15015764, dlinesl.size( ) = 2 s1 = 11408069, s2 = 15015764, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11408069, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11408141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408141, s2 = 11079594, int(edited[s2]) = 0 s1 = 11408141, s2 = 11079594, d1 = 7, d2 = 10 Dl.O(d1) = 169200655 Dl.O(d2) = 258978570,257151259,257516174,13007392,18324146,256598497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408141, s2 = 11079594, dlinesl.size( ) = 8 s1 = 11408269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15009410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11408453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408453, s2 = 11295080, int(edited[s2]) = 0 s1 = 11408453, s2 = 11295080, d1 = 97, d2 = 136 Dl.O(d1) = 261934299 Dl.O(d2) = 101749085,91705566,77777977,259043073,74171429,61390843,61390842,74171432,64595272,52694598,52694597,64595271,259043075,260111149,87776025,87776030,74171429,61390840,61390841,74171427,61390838,258249287,61390833,49910640,39890478,39890477,257640187,61390837,74171425,260111151,61390839,61390836,61390837,74171424,87776028,77777982,64595272,52694598,52694597,64595271,259043075,260111149,258249285,49910643,39890480,31212823,23727775,23727776,31212825,39890484,269395131,76004196,257729999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408453, s2 = 11295080, dlinesl.size( ) = 36 s1 = 11408603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408603, s2 = 11272304, int(edited[s2]) = 0 s1 = 11408603, s2 = 11272304, d1 = 46, d2 = 50 Dl.O(d1) = 261395332 Dl.O(d2) = 259599086,44509803,269193631,48344321,38440968,256955813,59728711,268915546,29883035,29883034,38440966,48344317,59728709,258769265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408603, s2 = 11272304, dlinesl.size( ) = 30 s1 = 11408687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408687, s2 = 11265264, int(edited[s2]) = 0 s1 = 11408687, s2 = 11265264, d1 = 12, d2 = 8 Dl.O(d1) = 262989846 Dl.O(d2) = 260938364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408687, s2 = 11265264, dlinesl.size( ) = 14 s1 = 11408779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408779, s2 = 11022924, int(edited[s2]) = 0 s1 = 11408779, s2 = 11022924, d1 = 30, d2 = 27 Dl.O(d1) = 264040211 Dl.O(d2) = 256006458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408779, s2 = 11022924, dlinesl.size( ) = 14 s1 = 11408813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408813, s2 = 14103648, int(edited[s2]) = 0 s1 = 11408813, s2 = 14103648, d1 = 5, d2 = 7 Dl.O(d1) = 170007659,158648954,146280413,133052717,271021294,269068094,256104418,18553619,13183342,8986932,5867212,3663035,3663034,5867207,8986923,13183669,18553989,13183696,8986938,8986937,13183604,8986896,8986897,13183607,18553951,25102520,18566965,18566964,254906794,32803909,25101967,25101966,25102652,18554077,18554056,18554055,25102150,18554040,18553977,18553976,25102540,25101983,18553468,13183219,8986618,5867000,3662903,3662901,5866998,8986614,13183212,18553461,18554085,16860253,11792537,11792536,13183662,13183683,18554033,18553987,13183639,8986915,8986916,13183644,254639180,25102514,18553941,18553411,18553412,18566969,13194050,8994541,5872370,5872369,8994536,13194042,18566958,25117795,32803888,25101948,25101949,18554051,18554048,13183687,13183686,18554044,18553416,13183186,13183187,18553419,18553422,254639604,32803846,255286750,9286964,9286965,6104625,3819674,3819673,3805932,3805930,3805949,2279855,2279851,3805974,6082449,9285013,6234782,6234783,9505927,13553668,18993205,25605697,268751539,26029993,256151536,268458965,19005167,13585507,13585508,19032834,254936622,13897738,254660952,6256470,3916599,254458405,9536956,13897715,19422525,256172855,30685799,31030391,31030390,31030388,31030389,34008705,26166976,19466435,19466434,26166974,34008701,42461192,43066455,42461188,42461187,52864961,64783986,71990985,59254175,47857542,37937740,29371344,22040347,15937792,254762165,4632423,4632424,4636762,4636763,7340767,11070784,15952436,16229495,16229496,15966952,11082420,11082421,11064580,11064581,7338573,7338572,11067655,15948608,22051976,22047427,22047428,255047104,15964903,15964902,20851460,28017614,22064763,15960118,15960117,15966154,11081800,7348326,7348325,11081798,15966151,12387852,12387851,255568573,22202691,16073254,11161628,7403668,4677275,4677278,7403680,11161648,15564696,10765961,10765959,15565203,12307908,12307909,8313455,5364234,3297670,3297669,5364232,5364269,8313523,5364315,5364314,4337989,4337990,6906734,8371153,5402599,3321678,1953796,1953797,3321680,5402602,8371161,12387853,17558659,23903051,29437423,22104646,22104633,15993932,11102959,11102958,15993930,22104629,29437400,256923669,31396307,40077527,50098278,61578224,74355019,87957338,101930178,115974736,260576010,143201894,155754312,165306129,155221227,155221228,166907820,176000719,166907830,155221237,142583267,129211686,115283074,115283073,129211684,142583263,155221231,165306126,165306127,261708988,140832773,127474350,113599749,99584211,99584212,113599751,272205473,153511965,142583256,129211679,115283068,101204648,87203848,87203849,101204650,115283070,101204657,95122279,95122280,85686851,85686852,99635613,113648911,113525827,99514309 Dl.O(d2) = 85567368,99514311,99524820,85578186,71991472,62737627,62737629,62737632,268635636,40964741,40964742,51106719,59254755,47858176,37938435,37938436,44425787,44425786,37972825,29409163,22078534,22078533,268008964,254426024,32874937,41796272,52110458,63930042,77042670,268458290,105104012,119297437,133127364,146354682,158723855,170083806,180253877,189200248,196945342,203562834,203562835,209094442,213633920,217357530,220459166,223093991,225368392,227345194,229073641,230598873,231956378,233178525,234283605,235289083,236205153,237040250,237803505,238497442,239133290,239717758,240258090,240758752,266690606,242047475,242412295,242751011,266973354,243640067,243898381,244139080,244362847,244569900,244762344,244942156,245111405,245258869,245099616,267352634,244747711,244553348,244344708,244120141,243879288,243620629,243342669,243045703,242729133,242389219,242022430,241623997,241192538,240726646,240223791,239681026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408813, s2 = 14103648, dlinesl.size( ) = 2 s1 = 11408813, s2 = 14103648, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11408813, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14103647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11409149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409525, s2 = 11133748, int(edited[s2]) = 0 s1 = 11409525, s2 = 11133748, d1 = 17, d2 = 3 Dl.O(d1) = 170579726,159242466,159242465,159242466,272368853,105500151,91277959,77358023,64210247,52360123,42021143,33077202,25346959,18765851,13362887,13362888,18765854,17199826,12094958,12094957,17199825,23483142,30920484,39531023,32962844,32962846,32121748,24543666,18109256,18109255,24543662,32121740,40895930,51033742,51056758,51056759,48113202,38202127,29635181,29635182,256347137,21695577,15655226,10836144,10836147,14469812,20168238,27062172,35147948,44524603,46802262,36924151,28425579,28425581,36924155,41918995,44639551,55489541,46822539,36944642,32149220,24565862,18125876,12852806,8740272,5690101,3539763,3539762,5690095,8740258,12852782,10510841,6931161,6931162,10510844,15236593,16811688,23032358,23059060,16811638,11756020,11756018,16811633,23059048,30468075,39058554,48981269,258190887,73118049,86723435,260055029,128647428,142009985,262288851,176963003,186332332,194500708,194500707,201498174,207387360,212243210,216210350 Dl.O(d2) = 216210351,214268841,265114759,264385909,198101551,190562701,181828674,171865196,160679637,148418862,135252473,121401084,107102712,92761470,78697853,65393540,53390284,42924318,33878720,256169809,19374735,19374734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409525, s2 = 11133748, dlinesl.size( ) = 12 s1 = 11409605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409605, s2 = 11499240, int(edited[s2]) = 0 s1 = 11409605, s2 = 11499240, d1 = 11, d2 = 9 Dl.O(d1) = 263341543 Dl.O(d2) = 217507359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409605, s2 = 11499240, dlinesl.size( ) = 14 s1 = 16361114, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11409619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409619, s2 = 11585994, int(edited[s2]) = 0 s1 = 11409619, s2 = 11585994, d1 = 0, d2 = 15 Dl.O(d1) = 180729036 Dl.O(d2) = 266699711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409619, s2 = 11585994, dlinesl.size( ) = 2 s1 = 11409619, s2 = 11585994, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11409619, Dl.E( ) = 34, 1.41e-05 seconds used appending s1 = 13732018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409769, s2 = 10722466, int(edited[s2]) = 0 s1 = 11409769, s2 = 10722466, d1 = 11, d2 = 12 Dl.O(d1) = 180886311,189780006,189780003 Dl.O(d2) = 263719529,263634788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409769, s2 = 10722466, dlinesl.size( ) = 14 s1 = 11409791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409791, s2 = 11460150, int(edited[s2]) = 0 s1 = 11409791, s2 = 11460150, d1 = 0, d2 = 7 Dl.O(d1) = 170750486 Dl.O(d2) = 184946129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409791, s2 = 11460150, dlinesl.size( ) = 20 s1 = 11410001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410099, s2 = 11527240, int(edited[s2]) = 0 s1 = 11410099, s2 = 11527240, d1 = 0, d2 = 26 Dl.O(d1) = 180964704,189844857,197501943,204021728,209461374,213925141,217589806,220648431,220648434,217589808 Dl.O(d2) = 265296291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410099, s2 = 11527240, dlinesl.size( ) = 36 s1 = 11410167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410167, s2 = 11418152, int(edited[s2]) = 0 s1 = 11410167, s2 = 11418152, d1 = 93, d2 = 132 Dl.O(d1) = 263725387 Dl.O(d2) = 233014488,266262143,266420420,266109586,225537164,223291136,265481573,220692666,273858148,159605759,147250574,134034079,261136566,77882099,64692263,52778128,42379340,42379341,52778130,64692264,77882101,91804744,271551333,134034081,261987363,170930279,181044867,189918114,197568948,204083299,209518319,213977624,217638090,215168650,211003912,205907879,199746157,192460009,183996830,174337983,163494129,151614074,138912473,125578651,111769420,97843879,258629363,57759027,46408275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410167, s2 = 11418152, dlinesl.size( ) = 24 s1 = 11410341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410801, s2 = 11568952, int(edited[s2]) = 0 s1 = 11410801, s2 = 11568952, d1 = 24, d2 = 31 Dl.O(d1) = 263363421,197654208,204155404 Dl.O(d2) = 265798807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410801, s2 = 11568952, dlinesl.size( ) = 32 s1 = 11342359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342359, s2 = 9585852, int(edited[s2]) = 0 s1 = 11342359, s2 = 9585852, d1 = 7, d2 = 10 Dl.O(d1) = 145114861,157548485,150295209,137255155,271656201,257896176,26898306,20016353,14335693,14335692,14030269,9645654,6341840,254310511,444876,250370,138157,134125,72937,72938,73375,39718 Dl.O(d2) = 271999613,147324261,261990345,272991525,197599891,264514949,263561385,176516215,263868462,260019285,271311536,29965107,22600321,255481795,7601064,4808503,4808505,7601066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342359, s2 = 9585852, dlinesl.size( ) = 10 s1 = 14206462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14206462, s2 = 11206690, int(edited[s2]) = 0 s1 = 14206462, s2 = 11206690, d1 = 25, d2 = 20 Dl.O(d1) = 254434024,25211950,27250120,28044678,20876679,17195448,255541397,30914826,39525351,40148007,256025531,17619110,17619109,17619108,268257901,31464515,257078703,61659415,259517007,116096239,130005521,143339778,155885842,167503818,177977911,187227410,195280018,273891119 Dl.O(d2) = 259964627,85427482,85427481,99368788,113369368,127227161,140572539,153254103,150471804,260576290,127227168,259964625,85427482,258097191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14206462, s2 = 11206690, dlinesl.size( ) = 2 s1 = 14206462, s2 = 11206690, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14206462, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 11411001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411001, s2 = 4692657, int(edited[s2]) = 0 s1 = 11411001, s2 = 4692657, d1 = 0, d2 = 11 Dl.O(d1) = 181385560,190189255,197790824 Dl.O(d2) = 190189254,190189255,264375627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411001, s2 = 4692657, dlinesl.size( ) = 2 s1 = 11411001, s2 = 4692657, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11411001, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 13667809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13667809, s2 = 14136920, int(edited[s2]) = 0 s1 = 13667809, s2 = 14136920, d1 = 19, d2 = 8 Dl.O(d1) = 171366113,181388566,190191482,197792251,263439272,214105930,217746437,220784677,220784684,217746442,214105933,214105934,214105929,214105928,217746435,214105932,214105931 Dl.O(d2) = 265200602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13667809, s2 = 14136920, dlinesl.size( ) = 2 s1 = 13667809, s2 = 14136920, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13667809, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 14136919, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14728915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13733364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13733364, s2 = 6950220, int(edited[s2]) = 0 s1 = 13733364, s2 = 6950220, d1 = 22, d2 = 19 Dl.O(d1) = 175233834,184800464,190210948,197809871,263700022,273851435,184800464,181410043,171390225 Dl.O(d2) = 260526105,260416296,47067538,37174881,28656600,21412900,15423833,10662491,254500553,4431259,7041642,10662492,15423834,21412901,28656601,268919265,258054231,71166107,259305369,98665485,112661261,261655523,262657487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13733364, s2 = 6950220, dlinesl.size( ) = 14 s1 = 11411189, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11411309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411309, s2 = 10981012, int(edited[s2]) = 0 s1 = 11411309, s2 = 10981012, d1 = 10, d2 = 9 Dl.O(d1) = 262461972,260261718 Dl.O(d2) = 258391004,256117064,19879070,14243198,14243199,14228346,9781237,8156168,5226324,5226321,6784617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411309, s2 = 10981012, dlinesl.size( ) = 12 s1 = 10981011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981011, s2 = 11411310, int(edited[s2]) = 0 s1 = 10981011, s2 = 11411310, d1 = 8, d2 = 11 Dl.O(d1) = 738975,1294716,2232589,3729065,5963429,9114485,13340170,14579763,18738854,256117065,258391005 Dl.O(d2) = 260261719,262461973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981011, s2 = 11411310, dlinesl.size( ) = 12 s1 = 4472451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11411513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411513, s2 = 11501436, int(edited[s2]) = 0 s1 = 11411513, s2 = 11501436, d1 = 7, d2 = 12 Dl.O(d1) = 264086009 Dl.O(d2) = 274317201,265829942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411513, s2 = 11501436, dlinesl.size( ) = 14 s1 = 11411753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411753, s2 = 11235314, int(edited[s2]) = 0 s1 = 11411753, s2 = 11235314, d1 = 3, d2 = 14 Dl.O(d1) = 172442159,271184108,121733713 Dl.O(d2) = 263041262,81051237,81051235,270635946,67583540,55241722,268540152,20049280,14363467,14363466,19780495,14168228,9740318,9368065,9368021,6136202,6136203,9368028,13679846,15146620,15464694,15464695,17406717,17406715,21465583,23731037,28710282,28710284,21500236,20987124,15074471,13557449,13557446,16221040,16157816,13557472,9281877,6080161,6080162,9281891,13557504,18997645,20145716,15562037,15562036,21587345,28861246,25127624,18575016,13199950,8998370,254907751,18575013,254454348,18254707,12951514,12922681,8790943,8790945,8917550,8917552,6011620,6011616,9185049,13434356,254673092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411753, s2 = 11235314, dlinesl.size( ) = 14 s1 = 14206506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14729419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14729419, s2 = 15993105, int(edited[s2]) = 0 s1 = 14729419, s2 = 15993105, d1 = 37, d2 = 28 Dl.O(d1) = 6944859,6944860,10530495,15056038,19634022,19634023,21240742,28460506,21235835,15266997,10534345,10534344,15266994,10535942,255023855,10536045,10566209,6969224,6969222,6944511,6944512,10529897,255088804,10566415,10566414,13524008,9255307,9255308,6957409,6957407,10549320,10556493,10556494,9258087,6063524,3793759,3793763,254399296,10534240,15266857,15276394,15276393,15276367,10542621,6952794,6952796,10542628,6963487,4374892,4374894,6058210,3790655,2270807,2270806,3790654,5199384,5199381,5199387,5199389,8115766,12069040,13498260,9234948,6048364,6048363,6968714,4378009,4378008,254727195,10565461,15301145,21263732,256015548,29196432,24582349,24582350,30384920,24813567,18324136,13007387,254632433,3595426,2144059,1238527,1238529,2144069,3595447,5771815,8855691,13007507,18324293,20024536,15807735,10954002,7249952,4571707,4571710,7249933,7249932,10367961,6830408,254713395,15040692,20949516,28127420,256548301,24196507,24196506,25855197,25855196,25855251,25855252,25855566,26248236,19530969,19530968,26248233,34112222,43198378,53709927,258470927,79122319,93238755,107642238,260944719,149169946,161456742,172633312,182560137,264105143,264665849 Dl.O(d2) = 195047604,192962533,184577609,174975264,164157533,152272067,139540223,261277914,70852854,58138733,258030237,268991092,28469506,21248468,15282629,14209106,9768061,9768064,14209112,10534234,6947192,6947193,10534238,10565265,10565264,13523950,12052799,8103412,5192040,5192041,8103416,9262781,9262780,13532769,15184355,15184356,10563859,9942117,6534447,4094275,4094272,6534440,9942106,12067663,12393514,8384078,8384079,12405344,15193029,10479415,255018175,21145730,254516598,15803492,17567395,21239145,28462821,28481481,23436208,255985875,23432304,17156094,12059518,10529730,10529729,8112392,8112390,12064689,9243399,6053922,3788334,2269631,1316830,1316828,2270411,3789859,6056770,3794037,2272608,1317961,1317962,2272611,3794044,6063913,6058196,3790652,3790654,5199384,5199381,5199387,5199389,8115766,12069040,13498260,9234948,6048364,3784831,3784832,6048353,6048352,9234923,13337912,9113100,254915107,18735985,25313129,29928696,24278442,17898020,17898016,19596899,20802612,19333096,13825018,13721328,13273507,9058405,5922469,5922470,9058412,13273521,18665210,22219298,16087433,16087432,16087489,22219347,24201019,17831773,12626562,8572315,8572313,12626558,17831771,19421040,13894803,11147241,7393616,7393615,11147239,16054335,22180565,18866210,16054354,11147252,11147251,16054351,13443089,13443088,17831840,17638722,17638723,22180449,22180534,22180535,29523084,29523015,26040810,26040809,29928700,26360199,19629056,19629053,26360197,21849254,21849253,16054180,11147140,11147139,16054058,16054057,21819372,19352472,19352471,17727556,12542092,12542093,17727557,19825980,19825981,26637984,254873448,34681938,31709767,29524254,28848151,21576392,19868705,14235275,14235276,254421326,8323697,5371257,3302077,3302080,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410862,9410859,13736831,10709560,7075253,4454397,2675903,1550013,881213,497244,497245,881218,881234,1550057,2675982,4454538,7075494,8511154,5510880,3398824,3398823,5510875,8511139,12553136,17741511,24100117,17750803,12559608,8515264,5513534,4319000,4319001,6880763,10437623,15133520,17386912,16248225,11296364,11296363,12542091,8502227,5503264,5503266,8502205,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5570264,5570265,8574386,12628917,17716603,17716605,12543592,8503073,5503708,5503709,8503077,12543559,17729648,18932388,24085414,17728094,12542479,8502458,8502457,7075204,7075203,10709484,15487008,17720568,17720566,19229942,13737659,13737660,19229949,19228468,13736331,13736332,19228470,24133992,17770253,17770252,24063220,17707946,12525955,12525953,254191042,28231338,23767706,267773938,12293278,17439710,12293463,8302980,5357032,3292820,3292819,3292829,5357051,8303013,12293517,17440031,17750880,17750879,17449636,12555115,12555114,17744204,24102842,23768330,254374608,8303256,8303255,12293170,8302792,5356928,5356932,5356916,3292769,3292768,5356910,8302762,8308223,5360730,5360732,8308231,12300768,8308021,5360616,5360615,8308015,12300758,17449831,254269030,9113103,5962681,254297491,1294654,738941,420046,420045,738940,1294653,2232447,3728723,5962676,6060929,9254327,8104502,8104506,10423878,10423880,10542941,6952997,6952999,10542943,15276737,10562742,10562739,10564427,6967990,4377584,2621975,1513402,1513403,2621981,4377599,6968014,6954601,6954600,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4377179,2621739,1513293,1513294,2621746,4377193,6967389,10563599,12070177,8116647,8116650,8103286,8103287,10535851,6948205,6948206,6970128,4378836,4364404,4364403,6067683,6067682,9263861,10530753,10530755,10526628,6945012,6945013,4370822,4370823,6956536,10548080,15282344,21248253,23721939,19634034,19634033,15296270,10560838,6965518,4376121,2621231,1513054,1513052,2621218,4376083,6965462,10560763,9981639,6560612,6560610,9981631,12068669,10530610,10530612,13342841,10530460,6944840,6944839,10530453,15262448,15285360,15149030,15149031,21089740,15302616,10566842,10566843,8177025,5246519,5246518,8177021,12147389,15276098,15276100,10568069,10568072,15266623,10534050,7505507,4744288,4744290,6944788,6944787,10530363,14070628,15264134,10531901,6945742,6945743,4376094,2621221,1513050,1513049,2621218,4376083,6965462,10560763,9981639,6560612,6560610,9981631,12068669,10530610,10530612,13342841,10530460,6944840,6944839,10530453,15262448,15285360,15149030,15149031,21089740,15302616,10566842,10566843,8177025,5246519,5246522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14729419, s2 = 15993105, dlinesl.size( ) = 2 s1 = 14729419, s2 = 15993105, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14729419, Dl.E( ) = 38, 1.88e-05 seconds used appending s1 = 11412159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8718670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11412505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412505, s2 = 11163956, int(edited[s2]) = 0 s1 = 11412505, s2 = 11163956, d1 = 8, d2 = 6 Dl.O(d1) = 261978514 Dl.O(d2) = 259038216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412505, s2 = 11163956, dlinesl.size( ) = 8 s1 = 11412599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412599, s2 = 11524216, int(edited[s2]) = 0 s1 = 11412599, s2 = 11524216, d1 = 1, d2 = 23 Dl.O(d1) = 183021121 Dl.O(d2) = 265129045,223666818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412599, s2 = 11524216, dlinesl.size( ) = 26 s1 = 11412805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412805, s2 = 10717617, int(edited[s2]) = 0 s1 = 11412805, s2 = 10717617, d1 = 8, d2 = 11 Dl.O(d1) = 260393320 Dl.O(d2) = 28740327,24215124,17844718,12692413,8622393,5605955,5605959,8622410,11923487,7977559,7977557,11923481,8156337,8156339,12125119,12147211,12147210,17267635,12147023,255158317,12147000,17267601,255100146,255100144,24214519,17844111,14196946,9759403,6416858,6416859,9759407,11291688,11291686,16241675,11891624,7951296,7951294,11891619,14086877,19653030,26387515,26629986,33250089,255667311,254923701,6027816,5861137,5861138,3999235,2396798,1387078,788885,446860,446859,788881,1387070,254241352,6373252,9689115,14086432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412805, s2 = 10717617, dlinesl.size( ) = 18 s1 = 11412813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11412883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412883, s2 = 10692695, int(edited[s2]) = 0 s1 = 11412883, s2 = 10692695, d1 = 30, d2 = 20 Dl.O(d1) = 173235145 Dl.O(d2) = 114590319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412883, s2 = 10692695, dlinesl.size( ) = 8 s1 = 11412941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412941, s2 = 11480544, int(edited[s2]) = 0 s1 = 11412941, s2 = 11480544, d1 = 17, d2 = 11 Dl.O(d1) = 273493915 Dl.O(d2) = 210546950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412941, s2 = 11480544, dlinesl.size( ) = 14 s1 = 11413139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11413139, s2 = 11098226, int(edited[s2]) = 0 s1 = 11413139, s2 = 11098226, d1 = 10, d2 = 13 Dl.O(d1) = 264384371,263381590 Dl.O(d2) = 257834976,42875444,33833228,33833229,42875446,53338195,271589745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11413139, s2 = 11098226, dlinesl.size( ) = 14 s1 = 11942662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4382294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4382294, s2 = 11942661, int(edited[s2]) = 0 s1 = 4382294, s2 = 11942661, d1 = 3, d2 = 5 Dl.O(d1) = 170808446 Dl.O(d2) = 180935349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 8526431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11413643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11413643, s2 = 13838421, int(edited[s2]) = 0 s1 = 11413643, s2 = 13838421, d1 = 20, d2 = 17 Dl.O(d1) = 261735668,273128730 Dl.O(d2) = 266000203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11413643, s2 = 13838421, dlinesl.size( ) = 30 s1 = 8724821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8724821, s2 = 4022996, int(edited[s2]) = 0 s1 = 8724821, s2 = 4022996, d1 = 79, d2 = 12 Dl.O(d1) = 103534014,103534015,117666584,261362485,157098381,168546882,263289491,175276216,164502018,164502019,175276220,263501111,200349697,193184888,184837061,175276234,262092158,126580799,112716614,98721366,98721367,112716616,126580804,112716620,98721369,98721370,112716623,261108285,261659441,164502035,152652048,262178127,164502046,175276235,175276230,263034896,175276199,164502005,152652024,152652023,152652018,152652017,152652012,152652013,164501991,175276182,175276181,184837035,193184879,193184901,184837058,184837057,263034894,164502038,152652046,152652047,264182623,184837045,262583856,139945066,126580778,112716603,112716602,272183281,152652015,164501994,152652050,152652049,152652029,262660741,175276200,164502008,152652027,139945073,139945072,126580795,259795762,84793887,84793888,98721367,112716616,126580804,112716620,98721369,98721368,112716617,126580806,139945100,152652060,164502059,175276254,263034900 Dl.O(d2) = 190181178,262457376,147878041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8724821, s2 = 4022996, dlinesl.size( ) = 52 s1 = 11414041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414041, s2 = 10498423, int(edited[s2]) = 0 s1 = 11414041, s2 = 10498423, d1 = 15, d2 = 17 Dl.O(d1) = 173681719 Dl.O(d2) = 123791103,109603239,95350892,257720872,55487740,50294274,40272935,31585940,31585938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414041, s2 = 10498423, dlinesl.size( ) = 18 s1 = 11414117, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11942982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11414409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414409, s2 = 11386294, int(edited[s2]) = 0 s1 = 11414409, s2 = 11386294, d1 = 53, d2 = 60 Dl.O(d1) = 174140856 Dl.O(d2) = 263108225,163286028,261859914,138691651,125351545,111532310,111532309,261595843,261317862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414409, s2 = 11386294, dlinesl.size( ) = 64 s1 = 10231269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414509, s2 = 14084774, int(edited[s2]) = 0 s1 = 11414509, s2 = 14084774, d1 = 4, d2 = 3 Dl.O(d1) = 262328630,263230028,176329666,165660677,262724253 Dl.O(d2) = 127850078,260007289,258764089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414509, s2 = 14084774, dlinesl.size( ) = 2 s1 = 11414509, s2 = 14084774, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11414509, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11414587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11943240, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11415161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11415291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11415291, s2 = 11466696, int(edited[s2]) = 0 s1 = 11415291, s2 = 11466696, d1 = 9, d2 = 11 Dl.O(d1) = 263472549 Dl.O(d2) = 199254680,191883274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11415291, s2 = 11466696, dlinesl.size( ) = 2 s1 = 11415291, s2 = 11466696, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11415291, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11415325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11415335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11415335, s2 = 10507080, int(edited[s2]) = 0 s1 = 11415335, s2 = 10507080, d1 = 39, d2 = 0 Dl.O(d1) = 263473251 Dl.O(d2) = 36641305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11415335, s2 = 10507080, dlinesl.size( ) = 36 s1 = 15133637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15133637, s2 = 13171446, int(edited[s2]) = 0 s1 = 15133637, s2 = 13171446, d1 = 55, d2 = 21 Dl.O(d1) = 186195232,262628392 Dl.O(d2) = 262757885,186195234,271575342,86001592,256668404,38371712,46272772,42175650,40453517,31758938,31758937,255878109,11017088,7293719,4599872,2767536,1604450,1604446,1604447,1604521,912458,912459,254232625,4600209,7294417,11018422,13924855,9557908,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460294,26160043,25897550,19237229,19237228,25897547,33703801,42733420,53182721,268781601,19460576,13926888,9559056,9559055,11964581,17055322,17558244,17558243,23902630,31395928,40077190,254661248,19668663,14098997,9697175,254463791,254211987,1387647,2397990,3888116,3627128,2352731,1362875,776720,440933,248585,248583,440924,776703,1362849,2312851,1341728,1341731 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8428797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11416247, s2 = 11123308, int(edited[s2]) = 0 s1 = 11416247, s2 = 11123308, d1 = 23, d2 = 25 Dl.O(d1) = 262159525 Dl.O(d2) = 84497584,259500654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11416247, s2 = 11123308, dlinesl.size( ) = 28 s1 = 14680211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11416649, s2 = 11204310, int(edited[s2]) = 0 s1 = 11416649, s2 = 11204310, d1 = 12, d2 = 7 Dl.O(d1) = 273061514 Dl.O(d2) = 258048971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11416649, s2 = 11204310, dlinesl.size( ) = 8 s1 = 11416811, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11417035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11417035, s2 = 11499674, int(edited[s2]) = 0 s1 = 11417035, s2 = 11499674, d1 = 35, d2 = 44 Dl.O(d1) = 260936758 Dl.O(d2) = 264396766,221734081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11417035, s2 = 11499674, dlinesl.size( ) = 46 s1 = 7264900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16316111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16316111, s2 = 14887975, int(edited[s2]) = 0 s1 = 16316111, s2 = 14887975, d1 = 0, d2 = 0 Dl.O(d1) = 57654505,46309830,36457054,36457053,46309828,57654502,60090028,48693821,38771837,30188359,268233861,16581803,22798698,268227844,48693817,60090025,72827359,268947970,73527566,65318491,268900954,33814631,25997780,19326071,19326072,25997783,25377599,25377598,25366571,18782944,13377605,9143410,9143413,6248217,6248219,3989924,3989927,5860107,8976330,5990444,5990446,9153396,9150434,5988274,5988277,9150392,9150462,13386000,18792768,25377667,33112905,42061883,52405651,64260998,77410734,91329294,105546982,119780212,133649990,146903139,159273605,170608425,180737110,189631874,193306266,184972613,175428769,164670776,152834339,140139762,126789145,112934525,112934524,98945140,85019620,71447021,58715913,47326915,37418384,37257477,34585571,26598506,26598505,28725941,28725940,21601512,21601511,16134874,11208410,7437044,4699357,4699356,7437042,11208407,16134871,255899711,38196538,48108085,59496585,59496583,59496584,258751249,54599854,43856417,43856418,43856415,34585568,26598502,19792451,14177073,9746230,9746231,14177074,14177947,254465460,4020751,4020750,6406980,6406979,254680845,6407367,4019802,2408784,254151759,448942,448941,792708,1393855,2408767,4019774,6407316,9744149,14173894,11341989,11341988,268043418,17761185,17761184,255877100,22041561,15938889,15938888,22041560,26038023,27269908,255344363,10965174,10965176,15822778,19803916,14593198,10041573,10041572,12282301,8294787,254845243,17425954,23751710,27209459,21898682,15819891,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,15934683,11057250,254234342,14183660,9750475,9750476,12034355,9997070,8090282,8090283,8090326,8090323,8742309,8742306,12856081,18130759,24572210,30214510,28624625,28624624,37137432,38409290,29836963,22469724,22469723,29836962,38409288,35256848,255073686,19360338,19360337,255445798,42904865,53370925,65375057,78680005,92743558,107084194,121381708 Dl.O(d2) = 57654505,46309830,36457054,36457053,46309828,57654502,60090028,48693821,38771837,30188359,268233861,16581803,22798698,268227844,48693817,60090025,72827359,268947970,73527566,65318491,268900954,33814631,25997780,19326071,19326072,25997783,25377599,25377598,25366571,18782944,13377605,9143410,9143413,6248217,6248219,3989924,3989927,5860107,8976330,5990444,5990446,9153396,9150434,5988274,5988277,9150392,9150462,13386000,18792768,25377667,33112905,42061883,52405651,64260998,77410734,91329294,105546982,119780212,133649990,146903139,159273605,170608425,180737110,189631874,193306266,184972613,175428769,164670776,152834339,140139762,126789145,112934525,112934524,98945140,85019620,71447021,58715913,47326915,37418384,37257477,34585571,26598506,26598505,28725941,28725940,21601512,21601511,16134874,11208410,7437044,4699357,4699356,7437042,11208407,16134871,255899711,38196538,48108085,59496585,59496583,59496584,258751249,54599854,43856417,43856418,43856415,34585568,26598502,19792451,14177073,9746230,9746231,14177074,14177947,254465460,4020751,4020750,6406980,6406979,254680845,6407367,4019802,2408784,254151759,448942,448941,792708,1393855,2408767,4019774,6407316,9744149,14173894,11341989,11341988,268043418,17761185,17761184,255877100,22041561,15938889,15938888,22041560,26038023,27269908,255344363,10965174,10965176,15822778,19803916,14593198,10041573,10041572,12282301,8294787,254845243,17425954,23751710,27209459,21898682,15819891,10963450,7257079,7257080,7257235,4576989,4576990,7257257,10963778,7631523,4828211,4828208,7631505,11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,15934683,11057250,254234342,14183660,9750475,9750476,12034355,9997070,8090282,8090283,8090326,8090323,8742309,8742306,12856081,18130759,24572210,30214510,28624625,28624624,37137432,38409290,29836963,22469724,22469723,29836962,38409288,35256848,255073686,19360338,19360337,255445798,42904865,53370925,65375057,78680005,92743558,107084194,121381708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16316111, s2 = 14887975, dlinesl.size( ) = 2 s1 = 16316111, s2 = 14887975, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 16316111, Dl.E( ) = 2, 1.29e-05 seconds used appending s1 = 11417633, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11417739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11417739, s2 = 11546908, int(edited[s2]) = 0 s1 = 11417739, s2 = 11546908, d1 = 20, d2 = 13 Dl.O(d1) = 274091536 Dl.O(d2) = 226369761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11417739, s2 = 11546908, dlinesl.size( ) = 24 s1 = 11418189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418189, s2 = 11503468, int(edited[s2]) = 0 s1 = 11418189, s2 = 11503468, d1 = 17, d2 = 15 Dl.O(d1) = 263519965 Dl.O(d2) = 221881348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418189, s2 = 11503468, dlinesl.size( ) = 20 s1 = 11418253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418253, s2 = 11519036, int(edited[s2]) = 0 s1 = 11418253, s2 = 11519036, d1 = 5, d2 = 0 Dl.O(d1) = 185280336,193578779,200691365,200691366,206692271 Dl.O(d2) = 206692275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418253, s2 = 11519036, dlinesl.size( ) = 2 s1 = 11418253, s2 = 11519036, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11418253, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14737692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11418681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11418745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418745, s2 = 11026692, int(edited[s2]) = 0 s1 = 11418745, s2 = 11026692, d1 = 18, d2 = 15 Dl.O(d1) = 270850354,113506919 Dl.O(d2) = 256417694,255102408,7299450,11025070,15466893,21468477,18785188,14207655,9767009,6421638,6421640,9767015,9767095,12537353,17721260,24078322,22876409,16648150,11616179,11616180,11452694,11452696,16438058,22623293,21144574,21144577,28359742,24467059,24467058,24292070,24292069,23714934,254547128,16083440,22215033,29489435,38053288,257144488,23568457,28801679,37339804,40365461,31670761,31670762,40365463,50400724,61891260,270506976,48602925,257181388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418745, s2 = 11026692, dlinesl.size( ) = 30 s1 = 11944722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13687536, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7694654, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10730013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11419277, s2 = 11434338, int(edited[s2]) = 0 s1 = 11419277, s2 = 11434338, d1 = 13, d2 = 0 Dl.O(d1) = 185538808,193798619,264213417 Dl.O(d2) = 186879435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11419277, s2 = 11434338, dlinesl.size( ) = 8 s1 = 11944842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11419387, s2 = 11435780, int(edited[s2]) = 0 s1 = 11419387, s2 = 11435780, d1 = 10, d2 = 18 Dl.O(d1) = 262202840,140974719,131839946,118012528,104139222,90014474,259604847,90508364,104139192,259604845,76210773,63200875,63200876,258977799,104139205,114485100,262278471,274043514,114017686,99991929,86030290,260011161,271660292,127539513,260405678 Dl.O(d2) = 263878844,263125134,262204680,261138706,114324653,100294064,260630957,141564242,154225316,262743993,263569717,264218401,273717322,273122276,262714003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11419387, s2 = 11435780, dlinesl.size( ) = 14 s1 = 11419489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11419605, s2 = 11183984, int(edited[s2]) = 0 s1 = 11419605, s2 = 11183984, d1 = 7, d2 = 8 Dl.O(d1) = 176155831 Dl.O(d2) = 260640644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11419605, s2 = 11183984, dlinesl.size( ) = 12 s1 = 3986101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3986101, s2 = 11277370, int(edited[s2]) = 0 s1 = 3986101, s2 = 11277370, d1 = 31, d2 = 102 Dl.O(d1) = 144700405,144700406 Dl.O(d2) = 262828253,155990475,155990474,167601300,262357523,143450161,130118448,116207311,259525223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3986101, s2 = 11277370, dlinesl.size( ) = 38 s1 = 5097456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420247, s2 = 10841344, int(edited[s2]) = 0 s1 = 11420247, s2 = 10841344, d1 = 20, d2 = 16 Dl.O(d1) = 263836750,207072746 Dl.O(d2) = 203995902,263073652,263836752,272822478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420247, s2 = 10841344, dlinesl.size( ) = 28 s1 = 10841345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10841345, s2 = 11420248, int(edited[s2]) = 0 s1 = 10841345, s2 = 11420248, d1 = 28, d2 = 3 Dl.O(d1) = 272822479,263836753,263073653,163856996 Dl.O(d2) = 174674531,263836751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10841345, s2 = 11420248, dlinesl.size( ) = 42 s1 = 11420289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15209080, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10275781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420811, s2 = 11455350, int(edited[s2]) = 0 s1 = 11420811, s2 = 11455350, d1 = 10, d2 = 9 Dl.O(d1) = 186042290,194252239 Dl.O(d2) = 273554995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420811, s2 = 11455350, dlinesl.size( ) = 18 s1 = 11420845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420845, s2 = 11190596, int(edited[s2]) = 0 s1 = 11420845, s2 = 11190596, d1 = 4, d2 = 9 Dl.O(d1) = 258797042 Dl.O(d2) = 255497434,60042571,49206961,48530498,38614988,38614987,258783603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420845, s2 = 11190596, dlinesl.size( ) = 8 s1 = 11421065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11383983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383983, s2 = 11118558, int(edited[s2]) = 0 s1 = 11383983, s2 = 11118558, d1 = 1, d2 = 1 Dl.O(d1) = 170596505,176688948,166918890,155233023,155233024,166918892,177458446,170596510,159261370,262466273,180725836,189621617,180725829,170596507,170596506,180725828,177458479,177458480,186766518,177458470,170596488,159261351,146890618,146890617,159261350,170596452,170596450,166050472,154299706,141645832,141645833,154299708,166050456,154299693,141645826,128296113,261214367,154299683,166050439,176688933,177458475,177458474,186766521,177458486,166918932,166918931,177458484,170596516,159261375,146890633,133637614,119768113,105534892,105534884,105534880,91317153,77398700,77398699,91317150,105534877,260862719,146890608,159261337,170596461,180725789,177458478,177458477,186766518,177458470,170596488,159261351,262926433,180725831,180725832,189621616,180725827,263088978,154299682,154299684,166050443,262926435,189621607,189621608,197308035,273786147,263927016,186766500,186103690,180725846,170596530,166918929,155233055,142595260,129223936,115295373,101216999,87216083,87216084,101217003,115295375,129223939,142595265,155233060,261760968,142595235,155233015,154299711,154299710,155233059,262317519,177458488,177458429,166918875,166918874,177458428,166918896,166918895,261279026,261279024,189515683,194872875,186766505,262749710,155233033,155233032,166918900,177458456,186766503,177458486,166918932,155233056,155233057,154299681,154299680,155233058,166918934,176688936,166050446,154299686,141645824,128296112,128296111,261760972,129223938,115295374,115295375,129223939,142595265,155233061,166918935,263220823,194872879,189621599,189621593,180725784,176688956,166050464,154299702,154299701,166050462,166050480,263088980,166050460,263183887,186766497,189621604,180725797,170596468,170596469,177458440,177458441,186766493,189621609,180725819,170596499,170596500,170596480,170596481,170596452,159261323,159261324,170596453,176688956,166050464,166050463,176688953,263574765,189621609,180725819,180725820,263574763,186103698,186766487,186103699,263574765,189621609,264049646,170596453,176688956,166050464,166050463,176688954,166918877,166918878,170596495,180725800,170596471,170596472,166918903,262273884,142595238,142595239,262317515,263220817,176688952,166050461,166050462,154299713,154299712,166050478,159261359,146890622,146890621,159261358,170596496,166050475,154299709,141645834,260638174,84520871,257564776,46873129,36994340,28496848,21279408,16425974,16425973 Dl.O(d2) = 170596505,176688948,166918890,155233023,155233024,166918892,177458446,170596510,159261370,262466273,180725836,189621617,180725829,170596507,170596506,180725828,177458479,177458480,186766518,177458470,170596488,159261351,146890618,146890617,159261350,170596452,170596450,166050472,154299706,141645832,141645833,154299708,166050456,154299693,141645826,128296113,261214367,154299683,166050439,176688933,177458475,177458474,186766521,177458486,166918932,166918931,177458484,170596516,159261375,146890633,133637614,119768113,105534892,105534884,105534880,91317153,77398700,77398699,91317150,105534877,260862719,146890608,159261337,170596461,180725789,177458478,177458477,186766518,177458470,170596488,159261351,262926433,180725831,180725832,189621616,180725827,263088978,154299682,154299684,166050443,262926435,189621607,189621608,197308035,273786147,263927016,186766500,186103690,180725846,170596530,166918929,155233055,142595260,129223936,115295373,101216999,87216083,87216084,101217003,115295375,129223939,142595265,155233060,261760968,142595235,155233015,154299711,154299710,155233059,262317519,177458488,177458429,166918875,166918874,177458428,166918896,166918895,261279026,261279024,189515683,194872875,186766505,262749710,155233033,155233032,166918900,177458456,186766503,177458486,166918932,155233056,155233057,154299681,154299680,155233058,166918934,176688936,166050446,154299686,141645824,128296112,128296111,261760972,129223938,115295374,115295375,129223939,142595265,155233061,166918935,263220823,194872879,189621599,189621593,180725784,176688956,166050464,154299702,154299701,166050462,166050480,263088980,166050460,263183887,186766497,189621604,180725797,170596468,170596469,177458440,177458441,186766493,189621609,180725819,170596499,170596500,170596480,170596481,170596452,159261323,159261324,170596453,176688956,166050464,166050463,176688953,263574765,189621609,180725819,180725820,263574763,186103698,186766487,186103699,263574765,189621609,264049646,170596453,176688956,166050464,166050463,176688954,166918877,166918878,170596495,180725800,170596471,170596472,166918903,262273884,142595238,142595239,262317515,263220817,176688952,166050461,166050462,154299713,154299712,166050478,159261359,146890622,146890621,159261358,170596496,166050475,154299709,141645834,260638174,84520871,257564776,46873129,36994340,28496848,21279408,16425974,16425973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383983, s2 = 11118558, dlinesl.size( ) = 2 s1 = 11383983, s2 = 11118558, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11383983, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 11421079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11421157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421157, s2 = 9735950, int(edited[s2]) = 0 s1 = 11421157, s2 = 9735950, d1 = 0, d2 = 19 Dl.O(d1) = 186125748 Dl.O(d2) = 36985051,28566325,28566326,36985013,36985012,36985046,28488220,21272148,15311125,10574506,6974998,4381766,4381767,6975001,10574512,15311134,255055846,15311152,10574526,255027335,6975005,6975004,10574517,15311141,21272166,28488245,36985066,46863577,50090842,46679133,36792989,36792988,46679130,46863440,50287684,46830094,36951979,28451743,28451742,30902990,28488247,28488246,23559323,17249627,17249628,23559325,21251911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421157, s2 = 9735950, dlinesl.size( ) = 20 s1 = 13744092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13744092, s2 = 8494156, int(edited[s2]) = 0 s1 = 13744092, s2 = 8494156, d1 = 36, d2 = 38 Dl.O(d1) = 223907519,223907520,265521704,218541111,215106947,210935841,205831066,199658463,192361270,192361268,199658465,205831068,205831071,199658481,192361286,183885984,263055342,151477953,138776514,262121761,174215427,263459179,199658458,199658479,199658478,205831074,205831073,210935850,215106951,218541114,221430534,265521847,265344862,215106954,215106953,218541109,221430531,223907520,265521704,218541111,215106947,210935841,205831063,199658461,199658462,264439599,205831057,205831056,199658459,199658460,264439597,264471652,201373754,194349840,186149252,186149253,263502080,176739768,166104906,166104907,166104902 Dl.O(d2) = 15309731,10573156,10573154,15309726,21236271,15267557,15267556,21236270,17151489,12054928,12054929,254829055,5199007,5199008,8115152,5199012,4369847,2618061,1511568,857093,483994,483992,857084,1511549,2618029,4369787,6954743,9265058,9265059,6953358,4370265,4370266,6943856,6955577,6936057,4369885,4369881,2619925,2619931,2231100,2231105,3726389,5958631,8109663,8107887,5194619,3169561,1855672,1059127,1059040,595544,595543,1059034,595601,332072,182859,100283,55307,55308,100288,182878,332115,595690,595549,595550,1059055,1855519,3169261,5194003,3789701,3789700,6056454,9247587,13514761,18951318,25562988,257208987,257478068,271317176,256964885,29985593,29985592,38555039,38555041,29985593,22618320,16433612,16433611,22618317,29985588,38555031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13744092, s2 = 8494156, dlinesl.size( ) = 38 s1 = 11421351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421351, s2 = 15116869, int(edited[s2]) = 0 s1 = 11421351, s2 = 15116869, d1 = 23, d2 = 15 Dl.O(d1) = 176757939 Dl.O(d2) = 133807880 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421395, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11421573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11421697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421697, s2 = 14142598, int(edited[s2]) = 0 s1 = 11421697, s2 = 14142598, d1 = 6, d2 = 19 Dl.O(d1) = 262713448 Dl.O(d2) = 219488444,222267851,224653885,226726106,274415725,222267851,224653886,226726107,226726109,226726110,228533077,228533076,228365029,226536719,226536718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421697, s2 = 14142598, dlinesl.size( ) = 16 s1 = 11421825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421825, s2 = 7323101, int(edited[s2]) = 0 s1 = 11421825, s2 = 7323101, d1 = 55, d2 = 59 Dl.O(d1) = 186375038,263939225,207410898,201527315,194536556,186375029,186375028,264788279,216226797,212262685,207410871,207410870,201527296,194536544,186375023,262765865,262765859,166427490,177012796,273563107,207410771,264788251,265223337 Dl.O(d2) = 177012794,177012803,186374990,263939205,207410725,201527167,194536454,263939191,207410723,264873944,218991357,264359014,207410704,207410706,212262541,212262630,212262636,207410810,201527235,194536517,186375007,186375010,194536528,201527265,207410841,207410880,201527296,194536544,194536543,264534649,212262628,265411725,221327000,218420511,218420509,214960629,214960630,264185544,210754362,205604756,199379244,192020951,183467099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421825, s2 = 7323101, dlinesl.size( ) = 20 s1 = 11421947, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11421985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421985, s2 = 11191124, int(edited[s2]) = 0 s1 = 11421985, s2 = 11191124, d1 = 8, d2 = 10 Dl.O(d1) = 177845780 Dl.O(d2) = 260747272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421985, s2 = 11191124, dlinesl.size( ) = 22 s1 = 14206982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6672283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5175341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8726837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422327, s2 = 15279444, int(edited[s2]) = 0 s1 = 11422327, s2 = 15279444, d1 = 3, d2 = 1 Dl.O(d1) = 177179196,177179185,166608452,166608451,177179182,263597743,263530648,177179198,263208947,194669613,263530642 Dl.O(d2) = 262303277,263208945,264261075,194669624,186524589,177179205,177179204,186524565,186524566,194669610,186524605,177179221,263135916,166608479,154910945,142278859,142278858,262303275,166608467,166608468,177179210,186524594,194669621,186524581,186524580,194669620,194669616,263530644,177179194,166608456,154910925,262777163,177179194,166608456,166608455,177179192,263597745,186524602,177179220,166608481,154910946,262303277,262217436,128928123,115025114,100969107,86983194,73370457,60624856,49223690,39296700,30699117,24968116,18448927,13105548,13105545,18448923,255635867,13105583,13105584,255635871,32638439,41524729,51802610,63588351,256028602,58270100,58270099,70984724,60723948,49321816,49321817,58847789,58847788,57758808,57758807,70453854,63003259,58847785,51111218,40968799,40968800,51111219,52177479,254890030,36425993,46278902,51802591,48304048,256040512,271340715,108654508,94366789,84852287,71278307,58546783,51955108,47287329,37377705,28837433,28837432,37377701,39957406,31282497,31282499,39957407,35031434,26951003,26951000,35031423,44406452,55254265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422327, s2 = 15279444, dlinesl.size( ) = 2 s1 = 11422327, s2 = 15279444, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11422327, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11422379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422397, s2 = 14244190, int(edited[s2]) = 0 s1 = 11422397, s2 = 14244190, d1 = 1, d2 = 1 Dl.O(d1) = 177279266,166723786,155024498,142376916,260395546,101003154,87009588,257905364,49246915,39320121,30721922,255325276,17043686,23033995,29379149,37944323,255973988,39934091,49951115,61428570,66912790 Dl.O(d2) = 177279266,166723786,155024498,142376916,260395546,101003154,87009588,257905364,49246915,39320121,30721922,255325276,17043686,23033995,29379149,37944323,255973988,39934091,49951115,61428570,66912790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422397, s2 = 14244190, dlinesl.size( ) = 2 s1 = 11422397, s2 = 14244190, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11422397, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14244189, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11422527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422599, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11422825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422825, s2 = 11222610, int(edited[s2]) = 0 s1 = 11422825, s2 = 11222610, d1 = 1, d2 = 7 Dl.O(d1) = 177425228 Dl.O(d2) = 258844133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422825, s2 = 11222610, dlinesl.size( ) = 14 s1 = 11422861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422951, s2 = 11045962, int(edited[s2]) = 0 s1 = 11422951, s2 = 11045962, d1 = 27, d2 = 10 Dl.O(d1) = 262790920,142603149,129232566,129232567,261808217,166925191,177463874,263221335,194876095,263958066,177463860,166925182,262318134,261808215,142603151,142603152,155240222,166925195,166925135,262790925,177463826,166925150,262318138,259473945,73603017,258849351,101226175,115304384,129232547,261808211,166925153,177463841,186770833,263221330,263608552,142603144,129232564,129232565,142603147,155240215,166925188,263221333,263958068,166925185,166925186,177463864,166925194,166925195,166925135,262790925,177463826,166925150,262318138,115304382,129232542,142603114,262318137,166925137,155240161 Dl.O(d2) = 50505483,40469853,32838536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422951, s2 = 11045962, dlinesl.size( ) = 2 s1 = 11422951, s2 = 11045962, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11422951, Dl.E( ) = 28, 1.38e-05 seconds used appending s1 = 11423063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11423063, s2 = 2432698, int(edited[s2]) = 0 s1 = 11423063, s2 = 2432698, d1 = 82, d2 = 102 Dl.O(d1) = 260065488 Dl.O(d2) = 67622259,55284367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11423063, s2 = 2432698, dlinesl.size( ) = 52 s1 = 11423121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11423387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11423465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15226150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11423865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11423865, s2 = 15339975, int(edited[s2]) = 0 s1 = 11423865, s2 = 15339975, d1 = 48, d2 = 66 Dl.O(d1) = 177793675,262339111,129784967,115886724,115886725,261831271 Dl.O(d2) = 222542878,265600257,222542877,222542872,219804405,264813607,207859411,207859412,212646309,216559417,219804407,222542876,265039851,212646320,207859423,207859421,212646323,216559427,216559422,216559421,219804413,222542867,219804400,219804399,222542865,222542896,219804432,216559430,216559431,219804434,222542902,265754543,226936338,226936336,226936354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11423865, s2 = 15339975, dlinesl.size( ) = 50 s1 = 11423901, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11423977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424135, s2 = 11098480, int(edited[s2]) = 0 s1 = 11424135, s2 = 11098480, d1 = 17, d2 = 27 Dl.O(d1) = 269638200,101933108 Dl.O(d2) = 50101584,254691124,17563767,12392513,11169470,7410200,7410203,10535339,10535340,12396812,12398936,8379286,7409669,5407570,3324368,3324364,5022543,3040173,3040170,4681989,2820977,2820976,2820995,1953737,1116167,626379,348033,190835,104196,104195,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950301,13538409,17561767,12396245,8377467,5406502,5406503,8377471,8381932,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543501,7680078,4859544,4859545,4859628,7680231,11544094,12387005,12387006,17557586,17400962,12262969,8281459,8281458,12262967,12264471,8282382,8282383,255167441,21906606,256365351,47704244,43035870,33978817,26139675,19443263,19443264,26139677,33978820,43035875,53514123,61985953,61985954,61736435,61736436,74518120,65538325,61985961,258052084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424135, s2 = 11098480, dlinesl.size( ) = 34 s1 = 11424253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424253, s2 = 11652548, int(edited[s2]) = 0 s1 = 11424253, s2 = 11652548, d1 = 19, d2 = 15 Dl.O(d1) = 263631699,202146114,202552110,264589331 Dl.O(d2) = 266038127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424253, s2 = 11652548, dlinesl.size( ) = 14 s1 = 15229504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15229504, s2 = 13706294, int(edited[s2]) = 0 s1 = 15229504, s2 = 13706294, d1 = 0, d2 = 0 Dl.O(d1) = 228754849,265758091,224941307,222595242,219863622,216626587,212721451,207944881,202150229,195256435,187192750,177930832,262348163,155820720,167445164,167445162,167445163,177930830,187192747,195256431,202150226,207944878,212721450,216626586,219863621,222595239,222595237,222595238,224941306,226978778,226978776,226978775,228754846,230318600,231708980,266256905,266450707,236906995,236648682,235773045,234810986,266305850,231313046,229881540 Dl.O(d2) = 228754849,265758091,224941307,222595242,219863622,216626587,212721451,207944881,202150229,195256435,187192750,177930832,262348163,155820720,167445164,167445162,167445163,177930830,187192747,195256431,202150226,207944878,212721450,216626586,219863621,222595239,222595237,222595238,224941306,226978778,226978776,226978775,228754846,230318600,231708980,266256905,266450707,236906995,236648682,235773045,234810986,266305850,231313046,229881540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15229504, s2 = 13706294, dlinesl.size( ) = 2 s1 = 15229504, s2 = 13706294, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15229504, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16109774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16109774, s2 = 16306305, int(edited[s2]) = 0 s1 = 16109774, s2 = 16306305, d1 = 44, d2 = 43 Dl.O(d1) = 204282169,209684685,264888719,220793423,223379077,225614104,227557782,229257986,230760838,232101026,233308626,234402462,234089704,232958561,231708984,230318602,228754849,226978779,224941307,222595241,219863622,216626588,212721451,207944880,202150229,195256434,187192750,177930833,262348163,155820720,167445164,177930829,187192747,195256432,202150228,202150227,202150226,207944879,212721450,216626586,219863621 Dl.O(d2) = 129885684,143215241,155767079,167399251,155767076,143215239,143215238,155767074,167399248,177893478,185302499,175792149,165062060,153244544,153244543,140563142,127217411,113358988,113358989,115027280,115027274,100971304,86985466,73372808,73372807,86985464,100971305,115027277,101818247,101818248,87843889,74238623,270384063,74238628,74238627,87843890,87843891,101818251,115864810,101818260,87843899,87843897,101818257,115864820,115864813,115864812,261286797,129885683,143215238,155767074,167399248,177893479,262809066,167399249,177893480,187163709,263971406,185302501,185302500,193599222,200709822,205569130,199339012,263805232,173623509,162596281,150470704,137433409,123703405,109511682,95257557,81201528,81201527,95257555,260407057,137433404,150470699,155811723,143264708,129936694,259919034,88013276,74407500,61628673,50146642,46992928,37107812,256859243,40127915,31448110,23955613,17608659,17608661,23955614,31448112,40127918,50149485,258268469,88019948,101998745,116048732,129949320,143276293,155820720,155820719,155820718,167445163,177930831,187192748,195256433,202150228,264568857,216626586,219863620,222595238,224941306,226978777,274525159,231708982,266256907,235119630,234810984,233755536,232596207,231313045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16109774, s2 = 16306305, dlinesl.size( ) = 8 s1 = 13706293, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11424271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424271, s2 = 14369326, int(edited[s2]) = 0 s1 = 11424271, s2 = 14369326, d1 = 8, d2 = 11 Dl.O(d1) = 263632121,202153126,200252917,200252918 Dl.O(d2) = 200252920,263492579,175132606,164338296,164338295,175132604,184711067,193075141,263492579,175132606,263092609,184711069,263852487,206315745,264175447,184711059,184711061,193075131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424271, s2 = 14369326, dlinesl.size( ) = 6 s1 = 14369325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424301, s2 = 10985856, int(edited[s2]) = 0 s1 = 11424301, s2 = 10985856, d1 = 11, d2 = 7 Dl.O(d1) = 177979526,177979525,261844124 Dl.O(d2) = 138846690,125514142,111707531,257661824,256531576,28035905,36498935,46357034,57706227,47746984,47746985,59145593,68138956,60666034,57706234,57706233,61671530,50187596,50187597,49447604,39515737,39515738,49447601,39515732,36498809,28771799,23409390,23409391,254601220,17134563,17134565,17134596,12041573,12041572,17134600,23409261,30838470,39442295,32138275,32138276,40915867,37305820,37305821,29169910,21860514,15788238,10938184,7237563,7237559,10938171,15788215,10938200,7237570,7237568,10938192,15788264,255183742,12453745,17631947,23979049,267845434,17134663,17134662,23409372,30838663,37306125,47211951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424301, s2 = 10985856, dlinesl.size( ) = 10 s1 = 11424321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424321, s2 = 10448939, int(edited[s2]) = 0 s1 = 11424321, s2 = 10448939, d1 = 11, d2 = 12 Dl.O(d1) = 177985708 Dl.O(d2) = 40161946,47267555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424321, s2 = 10448939, dlinesl.size( ) = 18 s1 = 11424377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424377, s2 = 11082932, int(edited[s2]) = 0 s1 = 11424377, s2 = 11082932, d1 = 38, d2 = 0 Dl.O(d1) = 263634779 Dl.O(d2) = 16958078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424377, s2 = 11082932, dlinesl.size( ) = 40 s1 = 9035452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424621, s2 = 11112080, int(edited[s2]) = 0 s1 = 11424621, s2 = 11112080, d1 = 83, d2 = 120 Dl.O(d1) = 260990620 Dl.O(d2) = 256218772,255700602,50624937,255292976,268768880,116687018,270034950,260052038,48927015,255954820,32618395,32618394,39811999,31129861,31129863,30867878,23439502,23439501,21030442,15105279,14962752,10295180,10295181,14962754,20864882,28032716,29862617,28226538,21030270,21030271,28226539,21030398,21030399,256291573 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11425061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14854245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11425479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15547701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15547701, s2 = 3050699, int(edited[s2]) = 0 s1 = 15547701, s2 = 3050699, d1 = 12, d2 = 11 Dl.O(d1) = 72713921,72568682,59833223,59833224,72568680,270851437,72568685,72568686,86166825,259402395,257544347,38538194,29972055,22607029,22607028,268643387,48446810,59833220,72568678,72568676,72568675,86166818,74196694,61418276 Dl.O(d2) = 172645975,161470959,149185226,260765774,93257723,79142743,65788554,53732610,43220627,34132738,26266179,19545821,19545824,23366813,28100507,28100508,27221659,23472630,17191255,17191254,23472629,26165005,26165006,24257323,17879742,12663473,8599037,5587561,3466540,3466543,5587575,8599070,12663530,17879841,21624468,21624469,28899604,27964927,20802562,14908564,10250982,6735529,4220106,2523139,2523138,4220104,6735525,4847089,2920700,1694171,1694173,2920708,4847105,7661117,11517009,11517035,254296690,19099978,20093273,255174266,20821205,14923442,10261979,10261980,10262010,14923467,20821228,14940493,14940494,15067756,16516402,12720114,12720115,17950376,24340871,28137607,28137606,20960094,15050814,10377055,6837718,6837717,10377050,15050803,20960079,28138121,36611751,46477778,57833522,70534920,84071122,84071121,258005200,111880170,125696962,139035502,151737965,163614523,174452931,263063020,205978607,211061971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15547701, s2 = 3050699, dlinesl.size( ) = 8 s1 = 11425797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11425797, s2 = 6980311, int(edited[s2]) = 0 s1 = 11425797, s2 = 6980311, d1 = 142, d2 = 172 Dl.O(d1) = 187840821 Dl.O(d2) = 260901358 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11425983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10622529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11426301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11426977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11426977, s2 = 10915085, int(edited[s2]) = 0 s1 = 11426977, s2 = 10915085, d1 = 4, d2 = 6 Dl.O(d1) = 180006804,180006805,188964954,196726618,203369635,208937151,213511055,217257641,220377466,223026137,225310756,265781355 Dl.O(d2) = 231922063,233148214,234257017,235265377,235922281,234975093,233934073,232791688,231527661,230117594,265521136,224649463,222262865,219482713,216191379,212220109,207359885,201466140,194464506,263053698,176915090,166316373,154595863,141951474,128589902,114692110,100646379,86672990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11426977, s2 = 10915085, dlinesl.size( ) = 2 s1 = 11426977, s2 = 10915085, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11426977, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10915086, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11426987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11426987, s2 = 14279795, int(edited[s2]) = 0 s1 = 11426987, s2 = 14279795, d1 = 108, d2 = 111 Dl.O(d1) = 265079929 Dl.O(d2) = 265781432 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13750158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13750158, s2 = 11621066, int(edited[s2]) = 0 s1 = 13750158, s2 = 11621066, d1 = 28, d2 = 66 Dl.O(d1) = 271496308 Dl.O(d2) = 267284809,244339474,274971469,243873467,243614070,243614069,243873465,267309277,274971467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13750158, s2 = 11621066, dlinesl.size( ) = 2 s1 = 13750158, s2 = 11621066, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13750158, Dl.E( ) = 74, 2.41e-05 seconds used appending s1 = 11427611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427611, s2 = 11174300, int(edited[s2]) = 0 s1 = 11427611, s2 = 11174300, d1 = 1, d2 = 1 Dl.O(d1) = 264008992,264348068,180616549,170478798,170478797,180616546,189521963,273783853,189521963,180616548,170478798,159136632,146763070,133507395,271024926,257770384,41925443,32985082,25261618,18690111,13296897,255248843,25261614,256626637,52263885,260851669,146763055,262456403 Dl.O(d2) = 264008992,264348068,180616549,170478798,170478797,180616546,189521963,273783853,189521963,180616548,170478798,159136632,146763070,133507395,271024926,257770384,41925443,32985082,25261618,18690111,13296897,255248843,25261614,256626637,52263885,260851669,146763055,262456403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427611, s2 = 11174300, dlinesl.size( ) = 2 s1 = 11427611, s2 = 11174300, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11427611, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11427621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427621, s2 = 11046350, int(edited[s2]) = 0 s1 = 11427621, s2 = 11046350, d1 = 16, d2 = 13 Dl.O(d1) = 272366498,260256296 Dl.O(d2) = 257181672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427621, s2 = 11046350, dlinesl.size( ) = 20 s1 = 11427643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427643, s2 = 11389436, int(edited[s2]) = 0 s1 = 11427643, s2 = 11389436, d1 = 4, d2 = 0 Dl.O(d1) = 180637379,180637380 Dl.O(d2) = 146783624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427643, s2 = 11389436, dlinesl.size( ) = 16 s1 = 11427751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427751, s2 = 10575083, int(edited[s2]) = 0 s1 = 11427751, s2 = 10575083, d1 = 16, d2 = 19 Dl.O(d1) = 264350889 Dl.O(d2) = 223163696,274490436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427751, s2 = 10575083, dlinesl.size( ) = 20 s1 = 11427769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427769, s2 = 11237176, int(edited[s2]) = 0 s1 = 11427769, s2 = 11237176, d1 = 6, d2 = 2 Dl.O(d1) = 262097946 Dl.O(d2) = 259806252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427769, s2 = 11237176, dlinesl.size( ) = 8 s1 = 11427847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427847, s2 = 11484456, int(edited[s2]) = 0 s1 = 11427847, s2 = 11484456, d1 = 0, d2 = 4 Dl.O(d1) = 189585373 Dl.O(d2) = 209310260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427847, s2 = 11484456, dlinesl.size( ) = 14 s1 = 11427947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427947, s2 = 11353976, int(edited[s2]) = 0 s1 = 11427947, s2 = 11353976, d1 = 21, d2 = 13 Dl.O(d1) = 262464475 Dl.O(d2) = 259648125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427947, s2 = 11353976, dlinesl.size( ) = 22 s1 = 11428095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428095, s2 = 15249642, int(edited[s2]) = 0 s1 = 11428095, s2 = 15249642, d1 = 28, d2 = 35 Dl.O(d1) = 263094846 Dl.O(d2) = 259917716,58348008,257437006,28588875,21357773,15380250,15380251,21357775,28588879,37095305,35323339,31421438,31421436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428095, s2 = 15249642, dlinesl.size( ) = 54 s1 = 11428117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428117, s2 = 11564708, int(edited[s2]) = 0 s1 = 11428117, s2 = 11564708, d1 = 29, d2 = 19 Dl.O(d1) = 263075996,199985169,264713855 Dl.O(d2) = 224037536,274399711,265970127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428117, s2 = 11564708, dlinesl.size( ) = 12 s1 = 13710865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428587, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9663922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428831, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11428895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428895, s2 = 10762773, int(edited[s2]) = 0 s1 = 11428895, s2 = 10762773, d1 = 18, d2 = 21 Dl.O(d1) = 262771226 Dl.O(d2) = 30841469,30841467,30841466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428895, s2 = 10762773, dlinesl.size( ) = 28 s1 = 13798331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11429113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11429219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429219, s2 = 11140478, int(edited[s2]) = 0 s1 = 11429219, s2 = 11140478, d1 = 3, d2 = 11 Dl.O(d1) = 181357203 Dl.O(d2) = 147848784,259893472,53074020,42626464,268605920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429219, s2 = 11140478, dlinesl.size( ) = 12 s1 = 11429233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4823912, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15076710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15860481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11429445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429445, s2 = 11527220, int(edited[s2]) = 0 s1 = 11429445, s2 = 11527220, d1 = 13, d2 = 15 Dl.O(d1) = 274315445 Dl.O(d2) = 274461003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429445, s2 = 11527220, dlinesl.size( ) = 20 s1 = 11429525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429525, s2 = 11486986, int(edited[s2]) = 0 s1 = 11429525, s2 = 11486986, d1 = 2, d2 = 17 Dl.O(d1) = 190277416 Dl.O(d2) = 214150333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429525, s2 = 11486986, dlinesl.size( ) = 28 s1 = 11429627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429627, s2 = 12240030, int(edited[s2]) = 0 s1 = 11429627, s2 = 12240030, d1 = 13, d2 = 19 Dl.O(d1) = 263011815 Dl.O(d2) = 261149972,9745772,6408355,6408356,9745773,12745005,8661203,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,14594001,14594004,20335131,26598916,23486528,22285324,16141770,16141769,22285319,29637056,26610409,26610408,27271661,27270454,26598652,19792574,14177161,14177160,17424576,17424578,12281454,8294313,8294311,9750337,6411092,4021992,2409900,254151795,449041,449045,792957,1394404,2409924,4022038,6411160,9750206,9750207,14183199,9750285,9750284,14183349,19801103,19804839,23749559,17424082,12281056,8294086,8294084,12281050,17424069,23749543,24120916,17759616,12567196,8522206,5521017,254277713,2010456,3407836,5521015,8522200,10013104,9152788,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281505,14936724,14936727,11396965,11396966,10023403,10023404,14566555,20298532,27227429,29214801,255882144,39124344,30525997,30525998,268239882,17424353,17424354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429627, s2 = 12240030, dlinesl.size( ) = 26 s1 = 11429783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429783, s2 = 13996226, int(edited[s2]) = 0 s1 = 11429783, s2 = 13996226, d1 = 1, d2 = 1 Dl.O(d1) = 181792310,263381687,198073410,263574494,160633440,171824540,181792278 Dl.O(d2) = 181792310,263381687,198073410,263574494,160633440,171824540,181792278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429783, s2 = 13996226, dlinesl.size( ) = 2 s1 = 11429783, s2 = 13996226, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11429783, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13996225, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11430177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430177, s2 = 10988330, int(edited[s2]) = 0 s1 = 11430177, s2 = 10988330, d1 = 35, d2 = 29 Dl.O(d1) = 191199425,264103157,210266893,274161931 Dl.O(d2) = 273170025,255787736,24152711,254756082,19319141,17034755,17034756,20186809,254709014,9965314,14483584,20186820,20347172,20341168,14599000,10045439,10045438,14598995,20341147,20341148,20826812,14928419,10265439,10265438,10391541,10391540,10354675,6819037,4277499,2557441,2557439,4277518,6819093,8584945,5578418,5578421,6603432,4231541,4231547,2571550,1480483,1480484,2571554,4301126,6853632,10275861,6753100,4231582,2530067,1458019,1457916,1457913,2529833,2535326,2535324,4240391,6766216,10274359,10048696,6603228,6603230,4136950,2474539,1430314,813662,813661,1430307,2474522,4136915,6603864,10049701,14604958,12345318,8340504,8340506,11250055,7467968,6836741,6836737,10375484,13636223,12338403,12338405,10785746,7436869,4699254,2831207,2831209,4699185,4699184,7436543,11207722,14902302,10246305,6732267,4217918,4217917,6732263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430177, s2 = 10988330, dlinesl.size( ) = 28 s1 = 11948582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13753108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13753140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11430515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430515, s2 = 11590862, int(edited[s2]) = 0 s1 = 11430515, s2 = 11590862, d1 = 13, d2 = 12 Dl.O(d1) = 274250391,225822335 Dl.O(d2) = 266293879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430515, s2 = 11590862, dlinesl.size( ) = 20 s1 = 11948754, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11430937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430937, s2 = 11529140, int(edited[s2]) = 0 s1 = 11430937, s2 = 11529140, d1 = 17, d2 = 19 Dl.O(d1) = 264120143 Dl.O(d2) = 264916351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430937, s2 = 11529140, dlinesl.size( ) = 20 s1 = 11431145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431145, s2 = 11168900, int(edited[s2]) = 0 s1 = 11431145, s2 = 11168900, d1 = 19, d2 = 8 Dl.O(d1) = 191852504,263428702 Dl.O(d2) = 183277247,173469765,260392266,123520089,109328585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431145, s2 = 11168900, dlinesl.size( ) = 20 s1 = 14989479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431711, s2 = 11005102, int(edited[s2]) = 0 s1 = 11431711, s2 = 11005102, d1 = 13, d2 = 14 Dl.O(d1) = 183425516 Dl.O(d2) = 255867094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431711, s2 = 11005102, dlinesl.size( ) = 18 s1 = 11431767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431767, s2 = 11512462, int(edited[s2]) = 0 s1 = 11431767, s2 = 11512462, d1 = 36, d2 = 30 Dl.O(d1) = 264983811,270832696,29396586,29396585,37961030,258735407,46829904,258035053,84464807,98374045,112356217,261638111,262642521 Dl.O(d2) = 263846833,264459779,215383189,218772976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431767, s2 = 11512462, dlinesl.size( ) = 32 s1 = 11949088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7133383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15075990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14721803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14721803, s2 = 8283369, int(edited[s2]) = 0 s1 = 14721803, s2 = 8283369, d1 = 10, d2 = 7 Dl.O(d1) = 262671667,164696007,164696008,175453217,175453261,175453260,184996285,193329757,200481508,200481505,263446820,184996259,273533279,193329754,264139470,200481507,263811656,184996229,175453212,164696002,263112817,184996266,263509923,264477429,206521247,263811656,184996229,184996230,175453238,164696039,164696033,164696034,175453220,184996238,175453257,164696071,152860881,152860882,164696073,175453259,184996281,184996273,175453253,164696060,152860871,140167248,140167213,126817297,126817296,140167208,152860820,140167239,140167238,152860853,164696047,175453243,184996263,184996258,175453238,164696039,164696033,164696034,175453220,184996238,175453257,164696071,152860881,152860882,164696073,175453259,184996281,184996273,175453253,164696060,152860871,140167248,140167213,126817297,126817296,140167208,152860820,140167239,140167238,152860853,164696047,175453243,184996263,184996258,175453238,164696039,164696033,164696034,175453220,184996238,175453257,164696071,152860881,152860882,164696073,175453259,184996281,184996273,175453253,164696060,152860871,140167248,140167213,140167212,152860823,164696009,164696045,175453240,184996261,184996265,184996245,175453223,175453222,184996242,184996251,184996252,193329734 Dl.O(d2) = 71477753,257332698,37455530,37455531,47361674,41700631,35396383,258555325,37471525,28930189,21652960,21652961,254910546,21189609,18773469,13369488,9137336,5979347,5979348,254917623,18773471,25355486,32720274,25033614,25033615,32720277,36905720,28408318,28408319,255905244,16194399,11257302,254530851,1650918,255088809,21263491,21263490,28481206,256888219,58810391,66899004,66899003,65536287,53511644,44838523,255250008,273832535,221362499,264621118,227884394,265479324,215892236,273450122,255269078,22336561,254928050,28464773,21241980,21241981,21651685,21651686,254093926,15617562,17914210,12691862,12691863,9237662,6050125,6050124,5407080,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12436172,10693564,7064740,4448104,4448103,7064733,10693550,15465088,16650400,11618159,11618160,16650402,22878806,19778346,255513396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14721803, s2 = 8283369, dlinesl.size( ) = 2 s1 = 14721803, s2 = 8283369, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14721803, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11432115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432115, s2 = 11348578, int(edited[s2]) = 0 s1 = 11432115, s2 = 11348578, d1 = 11, d2 = 3 Dl.O(d1) = 183520746 Dl.O(d2) = 162748575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432115, s2 = 11348578, dlinesl.size( ) = 16 s1 = 11432147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432147, s2 = 10414127, int(edited[s2]) = 0 s1 = 11432147, s2 = 10414127, d1 = 21, d2 = 22 Dl.O(d1) = 264432383,263839214,263076656 Dl.O(d2) = 260495186,260495184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432147, s2 = 10414127, dlinesl.size( ) = 20 s1 = 14121765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14121765, s2 = 1509517, int(edited[s2]) = 0 s1 = 14121765, s2 = 1509517, d1 = 57, d2 = 95 Dl.O(d1) = 173766483 Dl.O(d2) = 38472999,268814278,72490931,61392575,49912071,39891856,39891855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14121765, s2 = 1509517, dlinesl.size( ) = 48 s1 = 11432547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432547, s2 = 11310318, int(edited[s2]) = 0 s1 = 11432547, s2 = 11310318, d1 = 12, d2 = 5 Dl.O(d1) = 262767380 Dl.O(d2) = 177037684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432547, s2 = 11310318, dlinesl.size( ) = 14 s1 = 11432571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432571, s2 = 10759663, int(edited[s2]) = 0 s1 = 11432571, s2 = 10759663, d1 = 23, d2 = 20 Dl.O(d1) = 192376411,264149249,210950808,263472370,262624818 Dl.O(d2) = 156223266,156223267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11432649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432649, s2 = 14255668, int(edited[s2]) = 0 s1 = 11432649, s2 = 14255668, d1 = 46, d2 = 39 Dl.O(d1) = 192408383,199699300,205866543,264703002,264441702,264939298 Dl.O(d2) = 274176411,215136582,215136584,215136583,218570227,221460479,223937311,225965962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432649, s2 = 14255668, dlinesl.size( ) = 48 s1 = 13467643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11432919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10938850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11433119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433119, s2 = 11078908, int(edited[s2]) = 0 s1 = 11433119, s2 = 11078908, d1 = 12, d2 = 10 Dl.O(d1) = 261064670 Dl.O(d2) = 257402762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433119, s2 = 11078908, dlinesl.size( ) = 18 s1 = 11433123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433123, s2 = 6954811, int(edited[s2]) = 0 s1 = 11433123, s2 = 6954811, d1 = 104, d2 = 46 Dl.O(d1) = 184114190,174465047,174465048,174465049,163628461,260510080,259288814,111894818,258037680,84083302,84083303,256849538,57844135,57844136,46487939,36621351,28147488,28147489,36621347,46487933,46487936,46487937,57844134,70546197,70546200,70546201,72314656,73374591,60628906,269439966,86987246,84234561,77712814,64531811,52632980,52632979,49227793,39300837,39300838,49227796,268705144,59136118,47737558,255611158,60628908,49227777,257601393,72314675,72314674,59656905,48270163,38359693,38359692,48270162,59656903,257695688,84234553,258323550,257711808,57963030,46586433,46586434,49227798,39300840,39300841,49163895,60563625,72314670,59580067,59580066,72314669,85908094,269921844,258928138,72391307,85986475,85986474,99944543,100973041,86987254,84234572,84234573,74833324,74833323,258305098,84234552,258928140,84234522,70681474,70681473,84234520,84234537,84234538,269504376,84234549,70681499,57963014,46586424,46586425,57963016,70681501,72970833,72970816,72970815,86569030,72970846,60233637,60233638,72970848,72970843,72970844,60233645,48839300,48839301,60233647,258439924,60233614,60233613,72970817,258001921,36514414,28050163,268371803,10311665,10311664,14979378,255788163,36514413,46373315,55256645,44409246,43028505,43028506,44749098,44749099,39429710,39429709,39699959,31022887,31022886,30825575,23398003,19375122,19375123,26056179,33879323,37131442,28619510,28619511,36530813,36530812,42163995,42163996,49718688,39699964,31022889,31022890,27199151,20272453,20272452,21382866,28619565,37131504,46938552,37060079,33367917,25603317,25603318,28619569,28619568,37060076,36569978,28098825,28098824,36569974,46434492,43028508,33970838,33970839,43028509,47018949,49359352,41915730,32975708,32975710,30825580,23398005,17126093,12035600,12035602,17126095,17979248,12741878,8659086,5846870,5846872,3648750,2990419,1923724,1099018,1099020,1737757,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737227,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,5973043,5973042,6764559,4239378,2534757,2534756,4129636,4129635,6591736,7776537,11666101,10598602,7034298,7034297,7052771,4543984,4543988,4439469,4439474,268008124,5860147,7001964,10611461,15359387,20858596,21611185,21888059,29200556,37131474,47018954,47018953,58390241,71107038,84670284,98593626,112587146,126455452,113573077,99557079,86421404,72826358,60089005,60089006,60573142,49174325,256981732,86925583,86421388,72826342,60573146,49174328,39249144,30653258,30653257,268970537,60573140,73315925,258171700,268958768,72736371,59999439,59999438,72736368,73315918,269357046,100905805,86925579,73315920,60573137,60573130,49174317,49174318,257562628,60573125,73315909,86333813,100295856,86333788,86333789,100295858,98781743,84855438,71281961,254795266,255495600,59999437,59999436,59999433,59999432,72736358,84855436,71281960,71281958,77204973,64064012,64064013,71281965,58550469,254795268,98781750,112771172,100295880,100295879,256437846,256437850,100295850,98781740,98781741,107084917,255938224,98781736,98781737,255495602,91121873,77204977,77204976,77204992,64064023,52222680,256623707,32955965,41891321,52222682,64064027,77204993,256437844,269357044,146692615,148398180,258795218,133443469,119576604,107084939,107084937,92744309,92744310,99557106,270316491,72018190,85606801,99557104,113573104,258795214,146692612,133443475,133443474,269357052,139979727,255938228,101245125,101245126,115323271,101245127,258171740,73623282,87244938,101245129,115323269,115323270,101245128,93377095,93377094,107799084,107799085 Dl.O(d2) = 260575025 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433195, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11433199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433199, s2 = 6458406, int(edited[s2]) = 0 s1 = 11433199, s2 = 6458406, d1 = 15, d2 = 12 Dl.O(d1) = 184125545,184125546,192575533,264710869,263834603,263070673 Dl.O(d2) = 254715475,254715473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433199, s2 = 6458406, dlinesl.size( ) = 20 s1 = 11433213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433213, s2 = 10995852, int(edited[s2]) = 0 s1 = 11433213, s2 = 10995852, d1 = 9, d2 = 12 Dl.O(d1) = 260568482,259350184 Dl.O(d2) = 46507265,36639994,28164946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433213, s2 = 10995852, dlinesl.size( ) = 14 s1 = 11433417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11433535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13812571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11433755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11433929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433929, s2 = 11581606, int(edited[s2]) = 0 s1 = 11433929, s2 = 11581606, d1 = 18, d2 = 16 Dl.O(d1) = 261843748,273976559 Dl.O(d2) = 236543988,266358034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433929, s2 = 11581606, dlinesl.size( ) = 34 s1 = 11433967, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11434051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434051, s2 = 11312290, int(edited[s2]) = 0 s1 = 11434051, s2 = 11312290, d1 = 5, d2 = 3 Dl.O(d1) = 261304608,271766611 Dl.O(d2) = 84526152,87618656,74014503,258860157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434051, s2 = 11312290, dlinesl.size( ) = 2 s1 = 11434051, s2 = 11312290, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11434051, Dl.E( ) = 8, 1.19e-05 seconds used appending s1 = 11434157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434157, s2 = 10602836, int(edited[s2]) = 0 s1 = 11434157, s2 = 10602836, d1 = 5, d2 = 7 Dl.O(d1) = 262502498,152457036,152457037,262649737,184708375,184708381,193073291,184708392,175128054,175128053,184708395,193073292,193073293,184708390,184708389,193073288,184708378,175128042,175128041,263492385,193073296 Dl.O(d2) = 184708388,175128049,175128050,262502502,164330122,175128045,184708385,193073295,200251406,193073282,193073283,273849793,211328005,264077636,193073281,262959414,152457036,152457037,262649737,263492383,264175333,206314481,211328007,215424986,218810843,265362965,226255954,265843165,230037984,265728193,224539098,222139818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434157, s2 = 10602836, dlinesl.size( ) = 2 s1 = 11434157, s2 = 10602836, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11434157, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 9678793, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11434257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434257, s2 = 11455044, int(edited[s2]) = 0 s1 = 11434257, s2 = 11455044, d1 = 6, d2 = 9 Dl.O(d1) = 262793166 Dl.O(d2) = 263181497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434257, s2 = 11455044, dlinesl.size( ) = 8 s1 = 11434435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434435, s2 = 11359210, int(edited[s2]) = 0 s1 = 11434435, s2 = 11359210, d1 = 26, d2 = 1 Dl.O(d1) = 263856143,264467403,265120577,219079385,219079384,221907347,221907350,219079386,219079387,221907353 Dl.O(d2) = 211681247,273137434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434435, s2 = 11359210, dlinesl.size( ) = 20 s1 = 13802599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10528839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11434877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434877, s2 = 14039456, int(edited[s2]) = 0 s1 = 11434877, s2 = 14039456, d1 = 4, d2 = 7 Dl.O(d1) = 262851178 Dl.O(d2) = 140053432,140053433,126706116,112854346,98866421,84939521,269786389,37324753,28788581,21524590,15512508,10728394,7088254,4462881,2681154,1553131,883061,498295,279468,279469,254120575,1553141,2681168,4462846,4462845,7088194,10728296,255409959,28788442,21524607,15512520,15512523,21524612,28788597,36951192,28450911,21224111,15254271,10523895,6940636,6940635,9226712,6042630,6042629,9226707,13486013,15512624,15512623,258065951,42045713,33610043,33610044,42635796,34117379,34117381,43204504,49872718,49872717,48911021,38989105,30401198,22996982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434877, s2 = 14039456, dlinesl.size( ) = 2 s1 = 11434877, s2 = 14039456, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11434877, Dl.E( ) = 14, 2.29e-05 seconds used appending s1 = 13757940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14084619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11435417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11435417, s2 = 2369100, int(edited[s2]) = 0 s1 = 11435417, s2 = 2369100, d1 = 39, d2 = 6 Dl.O(d1) = 263185104 Dl.O(d2) = 64319322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11435417, s2 = 2369100, dlinesl.size( ) = 22 s1 = 13758356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11435651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13758640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13758640, s2 = 9737214, int(edited[s2]) = 0 s1 = 13758640, s2 = 9737214, d1 = 13, d2 = 4 Dl.O(d1) = 165033068,258663740,185276814,193574979,185276812,175764691,165033067,165033066,175764690,185276811,273113605,258039256,175764685,259290438,175764691,165033067,165033066,175764690,185276811,259290442,165033069,268915586,256850906 Dl.O(d2) = 165033065,165033063,153214530,270286552,185276809,273710871,200687577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13758640, s2 = 9737214, dlinesl.size( ) = 2 s1 = 13758640, s2 = 9737214, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13758640, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11435779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11435779, s2 = 11419388, int(edited[s2]) = 0 s1 = 11435779, s2 = 11419388, d1 = 18, d2 = 27 Dl.O(d1) = 262714002 Dl.O(d2) = 260405679,95240217,271660293,260011160,119882674,133752992,147003095,274043515,262278470,114912482,114912489,258977798,105277612,105277611,119502253,259604844,146449286,133217157,259604846,133361103,130455177,130455176,143783983,140514479,262202841,175749437,264197871,264742847,274127805,202557147,195746915,187792633,187792629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11435779, s2 = 11419388, dlinesl.size( ) = 14 s1 = 14695411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8611420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8611420, s2 = 8731451, int(edited[s2]) = 0 s1 = 8611420, s2 = 8731451, d1 = 21, d2 = 23 Dl.O(d1) = 103392614,103392615,263663907,202578387,263638378,201570897,201570899,194588044,264537391,274003053,194588019,186434850,262770805,154793053,142159096,261785229,166499205,177080215,186434846,264256273,201570961,201570962,201570921,201570920,194588104,194588034,186434861,177080229,166499213,154793057,262296459,263202841,186434852,186434851,186434944,264256279,194588075,201570879,194588016,186434934,177080306,273114236,142159135,262296475,177080303,263202859,166499285,154793099,142159137,142159136,154793098,154793130,142159168,142159170,154793134,166499330,177080353,186434978,263202843,166499219,166499220,177080240,263592133,194588058,194588054,186434880,177080253,166499230,261785231,128804586,114907430,114907429,128804583,142159105,262296463,154793064,154793084,154793086,262770823,263592145,263592147,186434876,177080249,166499226,154793067,154793066,154793092,142159129,142159127,154793086,166499266,177080285,186434914,194588082,186434940,177080313,263202861,154793102,142159138,142159136,154793098,154793130,142159168,142159170,154793134,166499330,177080353,186434978,194588041,273878537,194588092,201570948,207448036,201570896,201570894,201570957,194588100,186434928,263592153,201570954,194588121,186434957,177080326,166499296,154793108,142159145,128804618,128804619,142159148,154793111,166499301,177080307,263592155,186434976,177080351,166499326,154793132,142159169,142159170,154793134,166499330,177080353,186434978,263202843,166499219,166499220,177080240,263592133,194588058,194588054,186434880,177080253,177080252,166499246,261785253,142159175,262770837,177080357,262296481,154793124,142159162,260664113,100856848,100856849,114907457,128804630,261239077,262296473,154793087,166499269,177080289,186434917,194588060,194588059,201570916,207448048,201570973,264537393,264256271,194588012,263202835,177080212,186434840,186434954,194588120,186434963,262770831,154793119,261239075,114907455,114907456,128804628,142159160,154793122,166499316,177080342,186434965,263942811,194588048,186434874,177080247,262296465,142159118,128804601,128804600,142159116,262296469,177080272,263202869,262296483,142159177,260664117,100856851,86876132,86876131,260664115,142159172,154793135,262770819,262770817,142159102,142159103,142159119,128804609,128804608,142159127,154793086,166499266,177080285,186434914,194588082,186434940,177080313,166499287,154793102,142159138,142159136,154793098,154793130,142159168,142159170,154793134,166499330,177080353,186434978,263202843,166499219,166499220,177080240,263592133,194588058,194588054,186434880,177080253,166499230,261785231,128804599,114907443,114907441,128804608,142159127,154793086,166499266,177080285,186434914,194588083,201570943,201570921,201570920,194588104,194588034,186434861,177080229,166499213,154793057,142159099,142159098,154793056,166499210,263202839,194588028,201570888,207448027,201570968,194588114,194588091,194588090,194588045,263202847,166499230,261785231,128804599,114907443,114907441,128804608,142159127,154793087,166499269,177080290,186434920,263942801,264256277,201570936,201570940,194588078,186434905,177080277,177080278,186434907,263592143,186434899,194588075,201570879,194588016,186434934,186434932,263942803,264790665,207448068,201570950,194588096,186434925,177080298,177080299,263592149,186434943,194588108,201570941,201570883,194588123,186434960,177080340,177080333,177080332,262770827,166499295,177080324,166499308,154793116,142159153,128804622,114907450,100856840,258823919,257592665,39188423,30590882,30590881,269840171,114907423,128804573,262296457,177080213,186434841,177080270,166499257,154793079 Dl.O(d2) = 128804631,142159163,154793126,262770835,186434969,194588133,186434971,177080345,177080344,263592127,177080234,166499215,166499214,177080232,273564295,201570898,264537389,265018787,219536679,216253827,216253829,216253825,265018785,212294149,264790661,207448043,207448066,263942809,186434947,177080320,262296477,154793103,166499288,177080316,186434943,194588108,264537397,194588130,194588023,263202837,166499209,166499210,263202839,194588028,201570888,207448027,201570968,194588114,194588091,186434922,262770825,154793090,142159129,142159127,154793087,166499269,177080290,186434920,263942801,264256277,201570935,207448039,207448040,212294151,265413589,265048354,264572864,264745192,194588050,186434876,177080249,177080248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8611420, s2 = 8731451, dlinesl.size( ) = 2 s1 = 8611420, s2 = 8731451, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 8611420, Dl.E( ) = 24, 7.61e-05 seconds used appending s1 = 11435935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11435935, s2 = 11213354, int(edited[s2]) = 0 s1 = 11435935, s2 = 11213354, d1 = 19, d2 = 31 Dl.O(d1) = 185318318 Dl.O(d2) = 113376162,259981498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11435935, s2 = 11213354, dlinesl.size( ) = 34 s1 = 11436159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436159, s2 = 11494316, int(edited[s2]) = 0 s1 = 11436159, s2 = 11494316, d1 = 34, d2 = 55 Dl.O(d1) = 261970858 Dl.O(d2) = 232285872,233476152,274687317,266131442,266343327,233936526,266131445,230119940,228531436,226724256,224651856,265581610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436159, s2 = 11494316, dlinesl.size( ) = 8 s1 = 10658999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436487, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11436577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436577, s2 = 11180392, int(edited[s2]) = 0 s1 = 11436577, s2 = 11180392, d1 = 11, d2 = 0 Dl.O(d1) = 262707410 Dl.O(d2) = 72060603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436577, s2 = 11180392, dlinesl.size( ) = 14 s1 = 11436589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436589, s2 = 10411256, int(edited[s2]) = 0 s1 = 11436589, s2 = 10411256, d1 = 10, d2 = 15 Dl.O(d1) = 262624052 Dl.O(d2) = 219148226,219148227,264449096,224391720,265352392,265687820,225850878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436589, s2 = 10411256, dlinesl.size( ) = 16 s1 = 11436605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436753, s2 = 11035388, int(edited[s2]) = 0 s1 = 11436753, s2 = 11035388, d1 = 18, d2 = 20 Dl.O(d1) = 261683070 Dl.O(d2) = 258711228,257477786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436753, s2 = 11035388, dlinesl.size( ) = 26 s1 = 4729646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4729646, s2 = 11424500, int(edited[s2]) = 0 s1 = 4729646, s2 = 11424500, d1 = 15, d2 = 39 Dl.O(d1) = 193006922,184628056,184628055 Dl.O(d2) = 263983296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4729646, s2 = 11424500, dlinesl.size( ) = 30 s1 = 11437001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11437105, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11437163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437163, s2 = 11495386, int(edited[s2]) = 0 s1 = 11437163, s2 = 11495386, d1 = 1, d2 = 11 Dl.O(d1) = 193919111 Dl.O(d2) = 264505363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437163, s2 = 11495386, dlinesl.size( ) = 12 s1 = 11437221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437221, s2 = 11207742, int(edited[s2]) = 0 s1 = 11437221, s2 = 11207742, d1 = 18, d2 = 3 Dl.O(d1) = 262156288 Dl.O(d2) = 99864356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437221, s2 = 11207742, dlinesl.size( ) = 14 s1 = 11437309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437309, s2 = 11206658, int(edited[s2]) = 0 s1 = 11437309, s2 = 11206658, d1 = 27, d2 = 30 Dl.O(d1) = 260041492,195436323,261764512 Dl.O(d2) = 156122943,143587067,130258818,116421962,102329503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437309, s2 = 11206658, dlinesl.size( ) = 28 s1 = 14207660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11437603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437603, s2 = 722873, int(edited[s2]) = 0 s1 = 11437603, s2 = 722873, d1 = 43, d2 = 2 Dl.O(d1) = 263911273 Dl.O(d2) = 18473873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437603, s2 = 722873, dlinesl.size( ) = 12 s1 = 11437753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437753, s2 = 11206084, int(edited[s2]) = 0 s1 = 11437753, s2 = 11206084, d1 = 6, d2 = 10 Dl.O(d1) = 262134166 Dl.O(d2) = 174280815,163432421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437753, s2 = 11206084, dlinesl.size( ) = 8 s1 = 11437823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437823, s2 = 11556654, int(edited[s2]) = 0 s1 = 11437823, s2 = 11556654, d1 = 11, d2 = 4 Dl.O(d1) = 194168467,264231221 Dl.O(d2) = 222127254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437823, s2 = 11556654, dlinesl.size( ) = 14 s1 = 11438011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438011, s2 = 11032250, int(edited[s2]) = 0 s1 = 11438011, s2 = 11032250, d1 = 30, d2 = 32 Dl.O(d1) = 261956492 Dl.O(d2) = 100236064,269071186,11480495,7635703,7635700,11480491,16477335,22673790,18687789,18687790,25259328,32982637,37829968,41372378,41372379,44770952,38718454,30138876,22753083,22753082,22722409,22722408,20887683,20887684,15596767,10789512,10789513,15596769,21627672,28902278,254220024,20355369,14611378,10053999,6606264,6606263,10053997,11511314,254325372,20234867,14520070,14520069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438011, s2 = 11032250, dlinesl.size( ) = 36 s1 = 11438175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438175, s2 = 11401370, int(edited[s2]) = 0 s1 = 11438175, s2 = 11401370, d1 = 10, d2 = 18 Dl.O(d1) = 261762252 Dl.O(d2) = 263575386,262275016,176699408,186112125,262750624,184943003,175393692,164631865,164631866,164631867,175393694,184943004,263166292,262730188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438175, s2 = 11401370, dlinesl.size( ) = 28 s1 = 11438369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11438439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438439, s2 = 11529726, int(edited[s2]) = 0 s1 = 11438439, s2 = 11529726, d1 = 5, d2 = 31 Dl.O(d1) = 194303696 Dl.O(d2) = 206444824,211444963,215532419,218910487,221762515,224209916,265703239,224873706,222519471,219778286,216530698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438439, s2 = 11529726, dlinesl.size( ) = 8 s1 = 13761611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13700793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13700793, s2 = 14253437, int(edited[s2]) = 0 s1 = 13700793, s2 = 14253437, d1 = 7, d2 = 7 Dl.O(d1) = 193806930,186147452,176737889,166102839,154355900,154355899,166102836,262250622,193806913,200890350,194348219,194348218 Dl.O(d2) = 193806930,186147452,176737889,166102839,154355900,154355899,166102836,262250622,193806913,200890350,194348219,194348218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13700793, s2 = 14253437, dlinesl.size( ) = 2 s1 = 13700793, s2 = 14253437, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13700793, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14253438, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11438681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11951436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11951436, s2 = 11438682, int(edited[s2]) = 0 s1 = 11951436, s2 = 11438682, d1 = 1, d2 = 1 Dl.O(d1) = 205621903,199398587,263445051,173715911,162707101,150609007,137613118,271669511,109799367 Dl.O(d2) = 205621903,199398587,263445051,173715911,162707101,150609007,137613118,271669511,109799367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11951436, s2 = 11438682, dlinesl.size( ) = 2 s1 = 11951436, s2 = 11438682, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11951436, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13764581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11438801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438801, s2 = 5255824, int(edited[s2]) = 0 s1 = 11438801, s2 = 5255824, d1 = 25, d2 = 35 Dl.O(d1) = 186192339 Dl.O(d2) = 218417167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438801, s2 = 5255824, dlinesl.size( ) = 24 s1 = 15000897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439315, s2 = 11574502, int(edited[s2]) = 0 s1 = 11439315, s2 = 11574502, d1 = 0, d2 = 28 Dl.O(d1) = 194586831 Dl.O(d2) = 236805030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439315, s2 = 11574502, dlinesl.size( ) = 38 s1 = 11439355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439355, s2 = 11403614, int(edited[s2]) = 0 s1 = 11439355, s2 = 11403614, d1 = 11, d2 = 8 Dl.O(d1) = 186443477,265225737 Dl.O(d2) = 209469699,204030498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439355, s2 = 11403614, dlinesl.size( ) = 12 s1 = 13793175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14207746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8619338, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8619338, s2 = 15329456, int(edited[s2]) = 0 s1 = 8619338, s2 = 15329456, d1 = 1, d2 = 1 Dl.O(d1) = 260676910,99942324,99942325,113965112,127843610,141204458,153878615,165657035,176326791,185771545,185771546,185771547,189883424,181005922,170886890,261843864,133976878,133976877,120135122,258893006,77787872,257078692,42317214,33336836,255182472,17150882,17150883,23428190,30859298,256025520,60792861,73540090,87158474,101156526,101156530,101156529,115234041,260131950,142541677,142541678,155185210,154798505,142164452,142164451,261070056,177085678,186440044,183063826,173213049,261199980,260022290,122928727,258155772,94377000,101892395,87918257,74314844,74314845,87918259,101892397,115938671,116419850,116419851,130256831,143169581,143169582,143169580,129862475,115965139,101921055,270387103,61569466,50089419,40068153,40068152,50089418,61569464,74346383,64107334,52258589,41920380,32980264,32980263,41920378,52258585,64107332,77253976,91172416,105394301,119630548,133502432,146758552,159132582,170475085,180613054,184112191,184112192,184824022,184824021,273102163,152632306,139925723,126561896,112698005,112698006,105399446,91177548,77259090,64112389,52263593,41925175,32984791,25261326,25261327,255873722,32780533,254516726,13172897,8979674,5862679,3660233,3660234,5862684,8979691,8485828,8485827,12523880,17705458,24060332,28039559,36502891 Dl.O(d2) = 260676910,99942324,99942325,113965112,127843610,141204458,153878615,165657035,176326791,185771545,185771546,185771547,189883424,181005922,170886890,261843864,133976878,133976877,120135122,258893006,77787872,257078692,42317214,33336836,255182472,17150882,17150883,23428190,30859298,256025520,60792861,73540090,87158474,101156526,101156530,101156529,115234041,260131950,142541677,142541678,155185210,154798505,142164452,142164451,261070056,177085678,186440044,183063826,173213049,261199980,260022290,122928727,258155772,94377000,101892395,87918257,74314844,74314845,87918259,101892397,115938671,116419850,116419851,130256831,143169581,143169582,143169580,129862475,115965139,101921055,270387103,61569466,50089419,40068153,40068152,50089418,61569464,74346383,64107334,52258589,41920380,32980264,32980263,41920378,52258585,64107332,77253976,91172416,105394301,119630548,133502432,146758552,159132582,170475085,180613054,184112191,184112192,184824022,184824021,273102163,152632306,139925723,126561896,112698005,112698006,105399446,91177548,77259090,64112389,52263593,41925175,32984791,25261326,25261327,255873722,32780533,254516726,13172897,8979674,5862679,3660233,3660234,5862684,8979691,8485828,8485827,12523880,17705458,24060332,28039559,36502891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8619338, s2 = 15329456, dlinesl.size( ) = 2 s1 = 8619338, s2 = 15329456, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 8619338, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11439859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439859, s2 = 10785960, int(edited[s2]) = 0 s1 = 11439859, s2 = 10785960, d1 = 17, d2 = 8 Dl.O(d1) = 263952981 Dl.O(d2) = 232543599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439859, s2 = 10785960, dlinesl.size( ) = 24 s1 = 11439877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439877, s2 = 11389666, int(edited[s2]) = 0 s1 = 11439877, s2 = 11389666, d1 = 16, d2 = 18 Dl.O(d1) = 263171438 Dl.O(d2) = 263342426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439877, s2 = 11389666, dlinesl.size( ) = 18 s1 = 8356803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440281, s2 = 15209836, int(edited[s2]) = 0 s1 = 11440281, s2 = 15209836, d1 = 2, d2 = 11 Dl.O(d1) = 186838190 Dl.O(d2) = 49748059,39729026,255995125,17254462,17254461,21637806,15605971,10796750,10796748,15605966,16777183,15605830,15605827,17276906,23588677,255877486,11724348,7827032,7827033,11036429,8201587,5272532,3226904,3226903,3226902,5272529,8201583,11034579,7309378,4618348,4618346,4622872,2783750,2783751,4622874,7321624,254832488,267992681,7824608,4966263,2999531,1741993,1741996,2999534,4966268,4614743,4614742,5462451,3358626,3358628,5462457,7322083,4623294,4623295,7314890,7314889,8456138,254839673,5306655,5306654,8146388,5218565,5218564,8146385,12115756,8146364,5218547,3183362,3183363,5218549,5264206,3219232,1886371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440281, s2 = 15209836, dlinesl.size( ) = 2 s1 = 11440281, s2 = 15209836, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11440281, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15209835, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14141127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141127, s2 = 7177428, int(edited[s2]) = 0 s1 = 14141127, s2 = 7177428, d1 = 21, d2 = 16 Dl.O(d1) = 265161705 Dl.O(d2) = 263613018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141127, s2 = 7177428, dlinesl.size( ) = 30 s1 = 11952026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440839, s2 = 11176974, int(edited[s2]) = 0 s1 = 11440839, s2 = 11176974, d1 = 12, d2 = 6 Dl.O(d1) = 187026102,177751871 Dl.O(d2) = 259940912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440839, s2 = 11176974, dlinesl.size( ) = 14 s1 = 3664186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3664186, s2 = 4787941, int(edited[s2]) = 0 s1 = 3664186, s2 = 4787941, d1 = 1, d2 = 18 Dl.O(d1) = 126894736,140242322 Dl.O(d2) = 211547286,215621223,218988252,221830159,224268284,222579793,219847474,216609639,212703569,207925164,202127118,195228480,187158081,177887473,167392865,155760494,155760493,155760492,155760491,143208307,129878783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3664186, s2 = 4787941, dlinesl.size( ) = 2 s1 = 3664186, s2 = 4787941, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 3664186, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 13764174, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11441137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11441137, s2 = 10743706, int(edited[s2]) = 0 s1 = 11441137, s2 = 10743706, d1 = 1, d2 = 11 Dl.O(d1) = 195216510,202115775 Dl.O(d2) = 219838186,222571480,224918789,226957852,228735830,266026703,232944556,234077240,235108446,266534991,237673172,236897847,266449654,235108449,236045681,236897845,237673169,238376916,239018159,239018174,238376927,237673184,237673183,238376931,266811715,239608146,266750384,237673175,236897839,236897840,237673171,237673170,238376918,239018161,239608138,239018160,266811711,240153883,239608154,239018171,239018172,239608135,239018169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11441137, s2 = 10743706, dlinesl.size( ) = 2 s1 = 11441137, s2 = 10743706, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11441137, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11441191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11441273, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11441757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11441841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14011299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13764972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442019, s2 = 11560550, int(edited[s2]) = 0 s1 = 11442019, s2 = 11560550, d1 = 11, d2 = 9 Dl.O(d1) = 274018193 Dl.O(d2) = 265610251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442019, s2 = 11560550, dlinesl.size( ) = 12 s1 = 11442165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15739430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442675, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11442789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442789, s2 = 11542528, int(edited[s2]) = 0 s1 = 11442789, s2 = 11542528, d1 = 8, d2 = 2 Dl.O(d1) = 264009179 Dl.O(d2) = 213036001,265063959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442789, s2 = 11542528, dlinesl.size( ) = 12 s1 = 11442915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442915, s2 = 11576666, int(edited[s2]) = 0 s1 = 11442915, s2 = 11576666, d1 = 1, d2 = 9 Dl.O(d1) = 195877125 Dl.O(d2) = 234989803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442915, s2 = 11576666, dlinesl.size( ) = 24 s1 = 14207894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11443469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443469, s2 = 11586066, int(edited[s2]) = 0 s1 = 11443469, s2 = 11586066, d1 = 1, d2 = 72 Dl.O(d1) = 196473787 Dl.O(d2) = 239658069,266755668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443469, s2 = 11586066, dlinesl.size( ) = 40 s1 = 11443805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11953220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11444097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444097, s2 = 14910744, int(edited[s2]) = 0 s1 = 11444097, s2 = 14910744, d1 = 13, d2 = 10 Dl.O(d1) = 274427493 Dl.O(d2) = 270322548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444097, s2 = 14910744, dlinesl.size( ) = 14 s1 = 11444115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444115, s2 = 11483318, int(edited[s2]) = 0 s1 = 11444115, s2 = 11483318, d1 = 12, d2 = 38 Dl.O(d1) = 264346359 Dl.O(d2) = 243900015,243900018,243900017,243708894,243435887,243142207,242829024,242492579,242131226,241741614,241320423,241320410,240865781,240865782,241320412,241320414,241741606,242131222,242131221,241741605,241741606,241741611,241320420,240865789,274842952,239844391,240374648,240865786,240374644,239844390,239270037,238645361,237963147,237963146,237213474,236391257,235490889,234504287,234504286,274685934,274654960,232228306,230906724,229431618,227770520,225877643,223707495,221201844,265027388,205379753,273569410,273289323,162171974,162171975,262787646,149965219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444115, s2 = 11483318, dlinesl.size( ) = 2 s1 = 11444115, s2 = 11483318, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11444115, Dl.E( ) = 40, 1.22e-05 seconds used appending s1 = 11444123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444123, s2 = 11162388, int(edited[s2]) = 0 s1 = 11444123, s2 = 11162388, d1 = 15, d2 = 16 Dl.O(d1) = 273228161 Dl.O(d2) = 91148190,81600810,68112006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444123, s2 = 11162388, dlinesl.size( ) = 18 s1 = 4810480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11953332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11444203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11444305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14982799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14982799, s2 = 5925526, int(edited[s2]) = 0 s1 = 14982799, s2 = 5925526, d1 = 66, d2 = 74 Dl.O(d1) = 221353378 Dl.O(d2) = 237684532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14982799, s2 = 5925526, dlinesl.size( ) = 62 s1 = 11444505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444505, s2 = 11246078, int(edited[s2]) = 0 s1 = 11444505, s2 = 11246078, d1 = 21, d2 = 19 Dl.O(d1) = 262925813,263003106,105527041,91309172,77390186,64239354,52383269,256636141,33091267,42039286 Dl.O(d2) = 261158922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444505, s2 = 11246078, dlinesl.size( ) = 18 s1 = 11444667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444667, s2 = 11079124, int(edited[s2]) = 0 s1 = 11444667, s2 = 11079124, d1 = 49, d2 = 1 Dl.O(d1) = 264872789,220609988 Dl.O(d2) = 98129858,84234986,259023964,269302528,46586954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444667, s2 = 11079124, dlinesl.size( ) = 62 s1 = 15923761, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13768064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13768064, s2 = 7215476, int(edited[s2]) = 0 s1 = 13768064, s2 = 7215476, d1 = 71, d2 = 61 Dl.O(d1) = 52633782,64532576,259038075,105848151,120060552,133904132,133904125,271547279,105848145,120060547,262476709 Dl.O(d2) = 264125214,229451211,264418724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13768064, s2 = 7215476, dlinesl.size( ) = 54 s1 = 11444971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444971, s2 = 11536706, int(edited[s2]) = 0 s1 = 11444971, s2 = 11536706, d1 = 33, d2 = 31 Dl.O(d1) = 264361737 Dl.O(d2) = 227456250,229168910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444971, s2 = 11536706, dlinesl.size( ) = 38 s1 = 11445073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7114042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7114042, s2 = 11550980, int(edited[s2]) = 0 s1 = 7114042, s2 = 11550980, d1 = 25, d2 = 41 Dl.O(d1) = 262752417 Dl.O(d2) = 222217788,224610300,224610298,222217786,219430863,219430864,265733653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7114042, s2 = 11550980, dlinesl.size( ) = 2 s1 = 7114042, s2 = 11550980, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 7114042, Dl.E( ) = 46, 2.98e-05 seconds used appending s1 = 11445217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445217, s2 = 11562940, int(edited[s2]) = 0 s1 = 11445217, s2 = 11562940, d1 = 1, d2 = 80 Dl.O(d1) = 197546337 Dl.O(d2) = 274710078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445217, s2 = 11562940, dlinesl.size( ) = 64 s1 = 15673469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15673469, s2 = 16256156, int(edited[s2]) = 0 s1 = 15673469, s2 = 16256156, d1 = 7, d2 = 7 Dl.O(d1) = 9320121,13581434,9299434,9299432,13581429,19027429,255286484,42400792,52800418,64714260,77903104,91824551,271998555,92491539,259701057,121054283,134853834,147975132,147975131,147975130,160226360,171445047,181462096,190254713,197844446,204312974,209710033,214136925,217771843,220806065,265489025,225623256,227565910,229265365,230767611,232107315,233314637,234408267,235403797,235403798,236312044,237141520,237896929,238583070,238530755,237840012,237080288,236248335,235336360,234335519,233236140,232021616,230672932,230672931,229159270,227445698,225486829,223235606,220632423,217572319,263725764,263353232,197475555,189813584,180927592,261981858,159461763,147087447,133843588,119977273,105742636,257799368,52545412,42186670,33226460,25478097,21872684,15798338,10946358,7243748,7243751,9943399,10468347,10017011,10017010,14557236,10017059,6584147,6584046,6584047,10017261,14557555,20287552,23715873,17392040,12378339,8364520,5398696,3319587,1952777,1115703,1115704,1952779,3319591,5398704,8364537,12378362,17548311,23894314,17574448,12402562,8381931,8381927,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,7269610,10982592,10982631,15847388,15847008,12376408,8386869,8386872,8383307,8383308,12404483,17395969,18948985,18948986,23706263,17456470,17456471,23787465,21247971,15281953,15281945,10547727,10547729,15281949,17569526,17405577,12266304,8283526,8283525,12266300,17395552,12258873,8279049,5341738,5341739,8279052,12258877,255023326,8279067,5341749,3285300,1932097,1932100,3281606,3281609,5338662,254843319,255554587,256509865,49899541,61380103,74160678,87765100,101737689,115782841,261280319,155555185,167186179,177683654,186963094,195047297,201964181,207782491,212579145,214056942,209615032,204202176,197715714,190104070,181288139,171250916,160014661,147751472,134620930,120823976,259690129,78249964 Dl.O(d2) = 9320121,13581434,9299434,9299432,13581429,19027429,255286484,42400792,52800418,64714260,77903104,91824551,271998555,92491539,259701057,121054283,134853834,147975132,147975131,147975130,160226360,171445047,181462096,190254713,197844446,204312974,209710033,214136925,217771843,220806065,265489025,225623256,227565910,229265365,230767611,232107315,233314637,234408267,235403797,235403798,236312044,237141520,237896929,238583070,238530755,237840012,237080288,236248335,235336360,234335519,233236140,232021616,230672932,230672931,229159270,227445698,225486829,223235606,220632423,217572319,263725764,263353232,197475555,189813584,180927592,261981858,159461763,147087447,133843588,119977273,105742636,257799368,52545412,42186670,33226460,25478097,21872684,15798338,10946358,7243748,7243751,9943399,10468347,10017011,10017010,14557236,10017059,6584147,6584046,6584047,10017261,14557555,20287552,23715873,17392040,12378339,8364520,5398696,3319587,1952777,1115703,1115704,1952779,3319591,5398704,8364537,12378362,17548311,23894314,17574448,12402562,8381931,8381927,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,7269610,10982592,10982631,15847388,15847008,12376408,8386869,8386872,8383307,8383308,12404483,17395969,18948985,18948986,23706263,17456470,17456471,23787465,21247971,15281953,15281945,10547727,10547729,15281949,17569526,17405577,12266304,8283526,8283525,12266300,17395552,12258873,8279049,5341738,5341739,8279052,12258877,255023326,8279067,5341749,3285300,1932097,1932100,3281606,3281609,5338662,254843319,255554587,256509865,49899541,61380103,74160678,87765100,101737689,115782841,261280319,155555185,167186179,177683654,186963094,195047297,201964181,207782491,212579145,214056942,209615032,204202176,197715714,190104070,181288139,171250916,160014661,147751472,134620930,120823976,259690129,78249964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15673469, s2 = 16256156, dlinesl.size( ) = 2 s1 = 15673469, s2 = 16256156, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15673469, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 11445759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445759, s2 = 14126430, int(edited[s2]) = 0 s1 = 11445759, s2 = 14126430, d1 = 14, d2 = 32 Dl.O(d1) = 263368494 Dl.O(d2) = 260196469,131474550,144700558,157101733,272943611,144700569,273575176,157101732,144700556,261901667,168549866,157101732,144700556,131474549,131474550,144700557,144700556,131474549,131474550,144700558,272943609,157101740,261362809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445759, s2 = 14126430, dlinesl.size( ) = 26 s1 = 11445833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11445863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445863, s2 = 11523378, int(edited[s2]) = 0 s1 = 11445863, s2 = 11523378, d1 = 2, d2 = 7 Dl.O(d1) = 197813399 Dl.O(d2) = 209688331,214119832,217758327,220795006,266064785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445863, s2 = 11523378, dlinesl.size( ) = 12 s1 = 11445907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445907, s2 = 11577776, int(edited[s2]) = 0 s1 = 11445907, s2 = 11577776, d1 = 3, d2 = 13 Dl.O(d1) = 264889507 Dl.O(d2) = 265939233,232104106,266267003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445907, s2 = 11577776, dlinesl.size( ) = 14 s1 = 11446381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446381, s2 = 11522132, int(edited[s2]) = 0 s1 = 11446381, s2 = 11522132, d1 = 11, d2 = 5 Dl.O(d1) = 264100923 Dl.O(d2) = 218047289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446381, s2 = 11522132, dlinesl.size( ) = 14 s1 = 11446527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446527, s2 = 10400377, int(edited[s2]) = 0 s1 = 11446527, s2 = 10400377, d1 = 27, d2 = 5 Dl.O(d1) = 191206514,182519272,172585343 Dl.O(d2) = 100651847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446527, s2 = 10400377, dlinesl.size( ) = 8 s1 = 16076014, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14894073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14894073, s2 = 9111032, int(edited[s2]) = 0 s1 = 14894073, s2 = 9111032, d1 = 19, d2 = 22 Dl.O(d1) = 180215856,189153518,196893768,203518096,209065791,213619038,217347465,220452316,223089209,225364668,227342151 Dl.O(d2) = 206570042,202263700,195392150,263257914,178123335,178123333,167664270,156058954,143523066,130194058,116355977,102261832,88263674,74633392,61841233,61841234,74633395,86241067,72638586,72638587,86241068,100209260,114243679,128130700,141492145,134983694,121175518,106909193,92590718,78543200,65252965,53263217,42810069,42810068,53263216,255315130,25967687,25967688,33777606,42810071,43290105,34192845,34192844,43290103,43290344,53815273,43290287,43290288,256201084,33777601,25967685,19301434,13800467,9463679,9463680,13800469,19301438,25967689,33777607,42810072,53263222,65252968,78543201,92590720,106909194,121175520,261481413,160348220,171550522,176596223,165949724,154190176,261202778,114284860,100254358,86291257,72693523,59955448,256968974,38648082,255927558,19850893,14221805,9777102,6428498,6428499,9777106,14221811,19850908,26666433,28306062,28306026,21096722,21096725,24809557,30790739,28306037,21096729,255808067,33061433,25332328,18752817,18752816,21096764,28306086,36802795,46687022,58060371,70778313,84337268,98244540,112222711,261076921,152173175,164050980,174868782,184480511,192880684,264164381,211209313,215325290,218723195,221589251,224049591,226183444,228041837,229672788,231120132,232417306,231879479,230510127,228971447,264325410,263678410,217137147,213360518,261914532,196436752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14894073, s2 = 9111032, dlinesl.size( ) = 2 s1 = 14894073, s2 = 9111032, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14894073, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 11954208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11446805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446805, s2 = 14030364, int(edited[s2]) = 0 s1 = 11446805, s2 = 14030364, d1 = 28, d2 = 33 Dl.O(d1) = 261249750 Dl.O(d2) = 43308820,34210453,34210452,34210453,26336697,26336696,23970466,19659643,14091869,14091868,19659642,19608348,14050521,254380502,26336696,31466108,36581249,36620567,28146689,20968289,15058526,15058525,10791850,10791849,254497714,15105099,10418345,10418344,254482570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446805, s2 = 14030364, dlinesl.size( ) = 22 s1 = 11446837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446837, s2 = 13690784, int(edited[s2]) = 0 s1 = 11446837, s2 = 13690784, d1 = 9, d2 = 4 Dl.O(d1) = 272160082 Dl.O(d2) = 161746496,149453710,136201111,122234751,107827472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446837, s2 = 13690784, dlinesl.size( ) = 14 s1 = 13770150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447081, s2 = 11036102, int(edited[s2]) = 0 s1 = 11447081, s2 = 11036102, d1 = 10, d2 = 13 Dl.O(d1) = 273030596 Dl.O(d2) = 259721264,30026108,24241360,24241359,31753273,26259566,19540413,19540412,16202360,11263071,9340320,6118072,6118073,9340321,9289884,6085574,5618443,3979614,2424417,1402351,797961,797962,1402353,2424421,4051070,6465619,9337862,9287507,9287508,9328387,9287714,6084233,3806990,2280430,1322549,754572,428718,428717,754565,1322535,2280402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447081, s2 = 11036102, dlinesl.size( ) = 14 s1 = 9718262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7238418, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11447341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447341, s2 = 11544314, int(edited[s2]) = 0 s1 = 11447341, s2 = 11544314, d1 = 35, d2 = 43 Dl.O(d1) = 273825425 Dl.O(d2) = 227765861,229427995,230903775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447341, s2 = 11544314, dlinesl.size( ) = 36 s1 = 11447417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447417, s2 = 11535842, int(edited[s2]) = 0 s1 = 11447417, s2 = 11535842, d1 = 11, d2 = 0 Dl.O(d1) = 265507861 Dl.O(d2) = 223584497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447417, s2 = 11535842, dlinesl.size( ) = 8 s1 = 11447443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447855, s2 = 10990000, int(edited[s2]) = 1 s1 = 10989999, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11447933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447933, s2 = 14148180, int(edited[s2]) = 0 s1 = 11447933, s2 = 14148180, d1 = 87, d2 = 93 Dl.O(d1) = 264424915,214917193,265140473 Dl.O(d2) = 236431808,235535042,235535020,235535019,234550318,233468753,233468752,233468754,274687075,234550326,266547895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447933, s2 = 14148180, dlinesl.size( ) = 94 s1 = 11448119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11448131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11448159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448159, s2 = 11481782, int(edited[s2]) = 0 s1 = 11448159, s2 = 11481782, d1 = 3, d2 = 13 Dl.O(d1) = 199374371 Dl.O(d2) = 214956746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448159, s2 = 11481782, dlinesl.size( ) = 14 s1 = 11448377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448377, s2 = 11482592, int(edited[s2]) = 0 s1 = 11448377, s2 = 11482592, d1 = 26, d2 = 0 Dl.O(d1) = 264694061 Dl.O(d2) = 206395557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448377, s2 = 11482592, dlinesl.size( ) = 62 s1 = 7101293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7101293, s2 = 14208155, int(edited[s2]) = 0 s1 = 7101293, s2 = 14208155, d1 = 5, d2 = 2 Dl.O(d1) = 262592381 Dl.O(d2) = 262288322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7101293, s2 = 14208155, dlinesl.size( ) = 8 s1 = 14208156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14208156, s2 = 7101292, int(edited[s2]) = 0 s1 = 14208156, s2 = 7101292, d1 = 3, d2 = 4 Dl.O(d1) = 262288323 Dl.O(d2) = 262592380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14208156, s2 = 7101292, dlinesl.size( ) = 8 s1 = 9572752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15210190, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7721048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7721048, s2 = 8568324, int(edited[s2]) = 0 s1 = 7721048, s2 = 8568324, d1 = 24, d2 = 27 Dl.O(d1) = 273690254 Dl.O(d2) = 258876627,49966407,61444406,74224139 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448985, s2 = 11215864, int(edited[s2]) = 0 s1 = 11448985, s2 = 11215864, d1 = 8, d2 = 13 Dl.O(d1) = 263562044 Dl.O(d2) = 260020084,270384235,257544338,14370884,12578744,12578745,17773945,22806160,16588712,267981735,7713349,11587871,16613342,17233289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448985, s2 = 11215864, dlinesl.size( ) = 14 s1 = 11449445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449445, s2 = 10580077, int(edited[s2]) = 0 s1 = 11449445, s2 = 10580077, d1 = 27, d2 = 25 Dl.O(d1) = 263090582 Dl.O(d2) = 259911720,84290170,70738633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449445, s2 = 10580077, dlinesl.size( ) = 40 s1 = 11449447, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15198015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11449499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449499, s2 = 11589694, int(edited[s2]) = 0 s1 = 11449499, s2 = 11589694, d1 = 28, d2 = 26 Dl.O(d1) = 261318554,262365984,221571038,264827072,265441638,236514222 Dl.O(d2) = 266361260,274732270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449499, s2 = 11589694, dlinesl.size( ) = 32 s1 = 14741479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4775130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4775130, s2 = 14741480, int(edited[s2]) = 0 s1 = 4775130, s2 = 14741480, d1 = 1, d2 = 1 Dl.O(d1) = 194664651,201641657,207513524,212353048,216306096,219582968,222350419,224725808,226661457,224580511,222184808,219394825,216092786,212107042,264282814,186073824,176657271,166016017,261830618,128256485,114379748,100355856,86399081,72803481,60065612 Dl.O(d2) = 194664651,201641657,207513524,212353048,216306096,219582968,222350419,224725808,226661457,224580511,222184808,219394825,216092786,212107042,264282814,186073824,176657271,166016017,261830618,128256485,114379748,100355856,86399081,72803481,60065612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4775130, s2 = 14741480, dlinesl.size( ) = 2 s1 = 4775130, s2 = 14741480, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 4775130, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11449811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449811, s2 = 10627518, int(edited[s2]) = 0 s1 = 11449811, s2 = 10627518, d1 = 6, d2 = 3 Dl.O(d1) = 273975647,215357444,265164659,274374440,264862078,264345078,192963276,184578243 Dl.O(d2) = 262452356,271977660,98321384,84411856,259281661,112304224,261082155,152272503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449811, s2 = 10627518, dlinesl.size( ) = 8 s1 = 11450075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450075, s2 = 6547645, int(edited[s2]) = 0 s1 = 11450075, s2 = 6547645, d1 = 50, d2 = 46 Dl.O(d1) = 264461717,202288430 Dl.O(d2) = 255833030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450075, s2 = 6547645, dlinesl.size( ) = 16 s1 = 14127990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127990, s2 = 14117242, int(edited[s2]) = 0 s1 = 14127990, s2 = 14117242, d1 = 0, d2 = 37 Dl.O(d1) = 21809584 Dl.O(d2) = 262200075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127990, s2 = 14117242, dlinesl.size( ) = 42 s1 = 13808557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11450485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450485, s2 = 11124464, int(edited[s2]) = 0 s1 = 11450485, s2 = 11124464, d1 = 15, d2 = 18 Dl.O(d1) = 193133911 Dl.O(d2) = 261653496,259303006,64687189,52772954,42373971,33385040,33385041,42373972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450485, s2 = 11124464, dlinesl.size( ) = 20 s1 = 11209549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209549, s2 = 11364036, int(edited[s2]) = 0 s1 = 11209549, s2 = 11364036, d1 = 16, d2 = 5 Dl.O(d1) = 259928329,261107793 Dl.O(d2) = 166464807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209549, s2 = 11364036, dlinesl.size( ) = 15 s1 = 11450699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450699, s2 = 11169608, int(edited[s2]) = 0 s1 = 11450699, s2 = 11169608, d1 = 10, d2 = 11 Dl.O(d1) = 193186605 Dl.O(d2) = 259161322,139965087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450699, s2 = 11169608, dlinesl.size( ) = 12 s1 = 11450775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11450849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450849, s2 = 10998348, int(edited[s2]) = 0 s1 = 11450849, s2 = 10998348, d1 = 12, d2 = 5 Dl.O(d1) = 256531532 Dl.O(d2) = 126658986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450849, s2 = 10998348, dlinesl.size( ) = 14 s1 = 11450937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450937, s2 = 10438361, int(edited[s2]) = 0 s1 = 11450937, s2 = 10438361, d1 = 17, d2 = 5 Dl.O(d1) = 263107201,112857504,98869350,258690557,58629193,71365962,58629195 Dl.O(d2) = 47236301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450937, s2 = 10438361, dlinesl.size( ) = 18 s1 = 13774210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11451301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8673072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11451523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11451523, s2 = 11516406, int(edited[s2]) = 0 s1 = 11451523, s2 = 11516406, d1 = 7, d2 = 11 Dl.O(d1) = 264195431 Dl.O(d2) = 265184243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11451523, s2 = 11516406, dlinesl.size( ) = 12 s1 = 11451795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11451795, s2 = 11487808, int(edited[s2]) = 0 s1 = 11451795, s2 = 11487808, d1 = 17, d2 = 0 Dl.O(d1) = 264487855 Dl.O(d2) = 209515396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11451795, s2 = 11487808, dlinesl.size( ) = 14 s1 = 11399340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11399340, s2 = 2180145, int(edited[s2]) = 0 s1 = 11399340, s2 = 2180145, d1 = 15, d2 = 17 Dl.O(d1) = 153441045,165240731,175943760,273114558,261691200,165240734,262207868,263128059,262207867,140569588 Dl.O(d2) = 175798004,262688286,175943765,165240738,153441051,259964316,113535521,259345758,140761041,153250911,261703576,59094994,258110096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11399340, s2 = 2180145, dlinesl.size( ) = 2 s1 = 11399340, s2 = 2180145, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11399340, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 11452189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452189, s2 = 11537072, int(edited[s2]) = 0 s1 = 11452189, s2 = 11537072, d1 = 3, d2 = 13 Dl.O(d1) = 200798842 Dl.O(d2) = 265557555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452189, s2 = 11537072, dlinesl.size( ) = 14 s1 = 16289737, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14208336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14208336, s2 = 7930044, int(edited[s2]) = 0 s1 = 14208336, s2 = 7930044, d1 = 13, d2 = 5 Dl.O(d1) = 173532893,183332786 Dl.O(d2) = 15823266,15823267,21903245,21898984,15820110,10963593,7257158,4576935,4576939,7257172,8498600,5500145,5500144,8498593,12536985,15821756,10964563,7257681,7257682,10964568,15821769,11808649,7887557,5009403,3028980,1762440,1762439,3028978,5009395,7258077,10965318,7998391,7998392,11948589,17033708,14552696,10013502,8402485,8402484,12432532,17613776,23963091,22822079,19337701,19337699,19843802,14216506,14216505,15820577,15820578,15820609,10963897,7257318,7257321,10963905,15820621,254796763,4877504,2938959,2938958,4877502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14208336, s2 = 7930044, dlinesl.size( ) = 12 s1 = 11452295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452295, s2 = 11329970, int(edited[s2]) = 0 s1 = 11452295, s2 = 11329970, d1 = 20, d2 = 16 Dl.O(d1) = 263867058,165289300 Dl.O(d2) = 261669970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452295, s2 = 11329970, dlinesl.size( ) = 22 s1 = 11452459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452459, s2 = 6715275, int(edited[s2]) = 0 s1 = 11452459, s2 = 6715275, d1 = 29, d2 = 31 Dl.O(d1) = 195093915 Dl.O(d2) = 257642071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452459, s2 = 6715275, dlinesl.size( ) = 22 s1 = 11452687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452687, s2 = 14092474, int(edited[s2]) = 0 s1 = 11452687, s2 = 14092474, d1 = 47, d2 = 70 Dl.O(d1) = 263168388 Dl.O(d2) = 70877603,79321892,65958127,268960938,70877604,256989088,112327412,258801670,260042504,260841844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452687, s2 = 14092474, dlinesl.size( ) = 66 s1 = 11452709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15951954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15951954, s2 = 11142302, int(edited[s2]) = 0 s1 = 15951954, s2 = 11142302, d1 = 16, d2 = 20 Dl.O(d1) = 27620598,20582673,14763969,14763970,256253873,45573808,56659867,272488787,72994685,259432641,114586374,272534618,141825502,154470311,166202032,263582671,201415014,207320379,212189704,216167207,219462962,222246864,224636298,226711333,228520274,230109703,231520556,232785404,233928512,233928511,233928512,233820243,232666522,265996033,228360119,226531708,224433270,222017265,219203583,215869938,211839465,206905548,200932850,193853389,185595767,176133825,165454669,262233761,141010407,127662369,113794262,99780228,85826882,72234451,269339651,29632808,22280756,16137116,11209891,7437942,4699870,4699869,7437941 Dl.O(d2) = 6594338,4131310,2471308,2471307,254295421,1275649,729733,729738,1275661,2195772,1722013,1722011,2968211,4922115,7768620,11657199,11869777,13199956,18575027,23453258,30885158,256204808,87187006,258509114,129188934,142562899,155204537,166894479,160110825,147857282,134732376,120935065,106683524,258217516,257029148,53087095,42638670,33612685,25813483,19164618,19164619,19164621,13971431,13843483,13843484,19159608,13681259,13681177,9368901,8659513,8659516,9368987,9368901,8659513,8659516,9368987,9368901,8659513,8659516,9368942,9368943,13681270,17979953,24378522,25806869,33604572,42629395,53076829,257803966,258135266,95594682,81561214,256403712,255467980,35336706,27212472,20284093,14554245,14554244,20284092,27212468,20284099,20284100,27212482,35336715,44763068,55672368,68071322,81561221,95594686,109796711,123932575,258135278,150606685,162705001,154197543,141534455,128176696,114293707,100263739,86301694,72704713,59967677,48575941,48575940,48575939,59967676,58495800,47117476,37220113,37220114,47117477,58495802,71217603,84786482,98714186,112709475,126573106,139936547,152642597,140530780,127184290,113325077,99321957,85377201,71787718,71787719,64788537,52869807,42466048,33472824,255588728,52869806,255281224,255281226,13617372,9324334,6107806,254658871,13617376,256146743,42466049,52869808,64788538,77982206,91906320,92290637,78263590,64990056,53014970,42574705,33557888,25768530,19128747,13658103,13658102,19128744,255685511,19128753,256151431,33557893,257225435,64990058,259062869,84652010,71089555,58373416,258672726,28607622,28607621,37117378,28607623,21373080,15392246,15392245,21373078,255829583,37117376,257438054,37117378,28607624,21373080,15392246,10637548,10637547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15951954, s2 = 11142302, dlinesl.size( ) = 14 s1 = 14007693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11453221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453221, s2 = 14017854, int(edited[s2]) = 0 s1 = 11453221, s2 = 14017854, d1 = 60, d2 = 92 Dl.O(d1) = 264125526,140326624 Dl.O(d2) = 75625992,62681327,257128621,256067605,12844425,8734559,8734560,11628011,7745743,7745742,11628018,16661047,18114101,254888057,8734538,254829718,1858157,1060427,596238,254104172,267737606,4826075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453221, s2 = 14017854, dlinesl.size( ) = 42 s1 = 11453295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453295, s2 = 11262854, int(edited[s2]) = 0 s1 = 11453295, s2 = 11262854, d1 = 44, d2 = 13 Dl.O(d1) = 194044359,263163849,262250221,262589360,4764429,2872113,2872114,3397796,5509293,8508768,9871516,6484880,6484879,9871508,7513878,7513879,4979608,4979607,7844757,11749520,7844773,4979618,3007986,3007988,4979623,6504667,9897519,14368227,9898919,6505831,6505830,9898917,14392634,14390236,9896162,6503550,6503549,7714608,7714609,5509290,5509289,4069643,4069642,6494699,6497196,4071206,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,1579165,897796,897798,897785,897782,1579132,1579029,1579027,2725015,2726791,1579894,898149,506684,284135,156976,156977,284142,506700,898178,1579949,2726902,4536588,7200663,258086631,256705956,31409943,23920042,17578668,12406812,12406811,17578666,23920039,31409938,40089850,50110401,43917576,37968273,29404233,27040856,22847490,22847491,30241041,269975756,86471622 Dl.O(d2) = 120142630,105930488,255270042,33343746,260882737,258418230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453295, s2 = 11262854, dlinesl.size( ) = 48 s1 = 11453481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453481, s2 = 11083972, int(edited[s2]) = 0 s1 = 11453481, s2 = 11083972, d1 = 13, d2 = 6 Dl.O(d1) = 273358611 Dl.O(d2) = 72525359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453481, s2 = 11083972, dlinesl.size( ) = 14 s1 = 11453511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453511, s2 = 13994900, int(edited[s2]) = 0 s1 = 11453511, s2 = 13994900, d1 = 10, d2 = 15 Dl.O(d1) = 264229675,264768651,219314644 Dl.O(d2) = 224515162,222111930,219314646,264645262,264768651,219314645,222111928,224515161,226603683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453511, s2 = 13994900, dlinesl.size( ) = 12 s1 = 11453547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453547, s2 = 11195464, int(edited[s2]) = 0 s1 = 11453547, s2 = 11195464, d1 = 10, d2 = 2 Dl.O(d1) = 262452074 Dl.O(d2) = 100117151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453547, s2 = 11195464, dlinesl.size( ) = 14 s1 = 11453623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11453765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453765, s2 = 10597713, int(edited[s2]) = 0 s1 = 11453765, s2 = 10597713, d1 = 7, d2 = 11 Dl.O(d1) = 260652880,165922865,154162017,154162016,258188630,257000430,59903578 Dl.O(d2) = 22649655,16458420,16458424,15428746,15428747,17358562,12228708,8256530,5326481,5326479,8256522,12228692,12228650,12228647,16141549,16782404,23023532,20063366,20063234,14379091,9885083,6494923,6494922,9885073,14379076,20063217,26948147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453765, s2 = 10597713, dlinesl.size( ) = 12 s1 = 13777122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11385219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11385219, s2 = 10348912, int(edited[s2]) = 0 s1 = 11385219, s2 = 10348912, d1 = 25, d2 = 35 Dl.O(d1) = 262812983 Dl.O(d2) = 90775635,258392462,18522077,13160415,8970470,5856096,3655526,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,12727573,8648324,5624896,5624894,8648317,12727557,10405639,6859431,4304985,4304986,6859436,10405650,11247939,7466293,7466292,11247935,15364954,15364953,13258208,10286242,10286243,12716516,17945975,15872724,11001656,7282770,7282771,11001660,15872733,20024960,20136539,256074748,30006565,23834597,23834598,23834656,17495642,12336054,8333703,5378678,3307418,3307417,5378672,8333693,12336033,13654127,16103947,11185984,11185985,16103951,12336092,8333720,5378684,3307420,3307421,5378687,8333726,8564323,5560943,5560944,8564327,12616842,17819939,17820053,12616919,12616920,17820055,24188596,31696255,24188836,17820267,17820268,24188839,31696539,24764439,18287187,12979850,12979851,12616813,8564314,8564313,12616809,17819879,24188363,31696006,39324670,37088927,28584045,21354091,15377482,254499318,7013634,10626260,15377484,255555387,17399515,256006071,39888303,49908753,254785548,38290107,29723248,22366809,19658595,14091095,14091096,19658597,26392896,26629714,34619164,38294064,29727131,22370436,16215728,11272451,11272452,13344649,13170533,8977954,5861304,3659157,3659156,5861297,8977937,13170497,18535813,19345781,19345780,16217429,16217427,19658340,14090920,9691834,9691837,14090928,14092601,9692920,9692919,14092597,14211659,14211662,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636600,17844637,19818169,14196106,12637230,8580173,5574826,5574824,8580165,5575075,5575077,8578624,6416504,4025527,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195959,17845458,17846636,19666765,19659370,18535292,13170104,8977669,8977668,13170124,14195861,16210331,11268430,7480247,4727347,4727349,7480258,11268447,14088160,14088159,11546694,7682162,4860916,4860913,7682150,11546670,9695057,6376404,6376402,9695053,7682863,7682864,11548027,16566484,17118294,19664813,14095958,9694967,9694968,9694917,6376343,6376344,9694921,14095889,19657971,19658072,19658071,24772049,26391174,19656774,19656772,26391171,24095136,17736988,17736987,19665078,19665077,25575818,29923460,23394716,17122925,12033114,12033115,17122931,22003906,15903344,11025074,7299451,7299450,11025070,15466893,21468477,18785188,14207655,9767009,6421638,4028610,4028608,6421630,8088964,11612224,12027761,8086172,8086170,12027757,17115812,17821363,24190171,31698077,40390859,49355387,39425700,30821069,23392548,17120707,17117365,17117368,15069860,15069861,19590649,19590650,23392236,26390503,19656170,14094433,14094432,19662937,23179765,23178439,22324168,16913526,16913525,23178408,255113886,30190660,256982135,60092811,258177044,22794129,16577613,11558318,7691685,7691684,11558314,16577606,22794119,25439531,18843141,13425088,13425089,18843130,13425081,13425079,18843122,20884284,22174944,16050173,11144461,7391943,7391942,11144456,16050164,22174929,29516721,26927597,20042061,20042060,26927594,26052558,19372118,13856861,13856862,19372122,26052564,29085729,29085728,30405943,38083085,47995352,50680126,47995344,38083070,38083071,42043134,42043135,33612253,256671483,53086657,49938670,39920791,31245094,31245093,24139531,24139530,25813158,19164368,19164369,15729913,15729912,21788250,29085741,31244901,31244900,39920607,39920766,31245073,31245072,31245020,31245021,31804467,25361396,18778836,13374231,9140982,9140983,13374235,18778840,25361402,31244891,25813185,25813184,33612278,31700889,268262875,17823669,24192886,256350232,17432903,17432902,23760573,31245119,39920681,31244985,23760489,17432856,12287283,12287282,17432855,23760487,31244979,257021471,23294028,23294029,30710534,29917407,22559213,16380689,254783317,4791137,2888000,2887999,254537013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11385219, s2 = 10348912, dlinesl.size( ) = 32 s1 = 11454147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11454147, s2 = 11310662, int(edited[s2]) = 0 s1 = 11454147, s2 = 11310662, d1 = 6, d2 = 8 Dl.O(d1) = 194287971 Dl.O(d2) = 154270395,154270396,154270393,141614469,141614468,128264047,114387853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11454147, s2 = 11310662, dlinesl.size( ) = 14 s1 = 14092479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454577, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15008031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15008031, s2 = 3213545, int(edited[s2]) = 0 s1 = 15008031, s2 = 3213545, d1 = 49, d2 = 3 Dl.O(d1) = 2312834,3822056,6108140,6168914,9415373,13742254,19234801,25894542,33700575,254933376 Dl.O(d2) = 100970789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15008031, s2 = 3213545, dlinesl.size( ) = 2 s1 = 15008031, s2 = 3213545, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15008031, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 14748244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11454877, s2 = 10780890, int(edited[s2]) = 0 s1 = 11454877, s2 = 10780890, d1 = 0, d2 = 0 Dl.O(d1) = 201542683,199270337,191900030,183332006 Dl.O(d2) = 201542683,199270337,191900030,183332006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11454877, s2 = 10780890, dlinesl.size( ) = 2 s1 = 11454877, s2 = 10780890, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11454877, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 5085515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5015872, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11455043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455043, s2 = 11434258, int(edited[s2]) = 0 s1 = 11455043, s2 = 11434258, d1 = 8, d2 = 7 Dl.O(d1) = 263181496 Dl.O(d2) = 262793167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455043, s2 = 11434258, dlinesl.size( ) = 8 s1 = 11455073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455073, s2 = 11066550, int(edited[s2]) = 0 s1 = 11455073, s2 = 11066550, d1 = 24, d2 = 22 Dl.O(d1) = 274110273,212304539,212304540,274202961,265585225 Dl.O(d2) = 52759245,42359694,256140174,18993502,13553969,13553968,13646981,13646984,13677477,12618613,12618610,255588623,25780354,25780353,25623936,25623937,19010394,15201104,10484755,10484754,15201100,21156729,23654276,23654278,28374643,21157575,15201881,15201880,15201927,15201926,254870919,5545265,3430953,3430954,5545269,8546928,12595882,17795136,16748338,16748337,22986299,25134886,18581103,18581102,255727744,25134896,25134893,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,9289330,13567530,12652350,12652349,17866593,17529943,12363756,12363757,17529945,20079953,14397118,14397119,15687279,15687278,21736356,21736444,21736445,21763292,15707156,10873425,7189139,7189141,10873427,15707159,14555661,14555662,17869703,17869704,24246332,24132310,17768766,12574447,12574446,13567725,13567726,13567162,13567163,19009458,21763115,17873404,12657085,12657086,17873407,24250775,30184025,24246489,17869845,12654560,8591688,8591691,11308653,7508038,4745916,4745919,7508058,11308701,16265331,16014910,13669676,9360891,6131482,6131478,9360899,13669697,15707245,10873473,10873470,15707234,15707256,15707255,12655905,8592491,5583019,3463926,3463924,5583036,8592538,12655984,17871882,17866267,12652118,12652120,15707066,10873363,8561349,8561352,7424776,4691831,2827019,1640215,1640214,2827014,4691820,7424753,254522596,22247454,23134917,16874285,11804659,11804660,10467735,6900285,6900287,10467741,15177519,21126233,27083550,20185335,20185334,27083545,35172000,255193220,38799015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455073, s2 = 11066550, dlinesl.size( ) = 24 s1 = 11455171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455171, s2 = 11324616, int(edited[s2]) = 0 s1 = 11455171, s2 = 11324616, d1 = 63, d2 = 31 Dl.O(d1) = 264539383,216280910,274284476,265656535 Dl.O(d2) = 260924917,107102940,92761704,260330161,92761704,259791446,26055875,19374897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455171, s2 = 11324616, dlinesl.size( ) = 64 s1 = 11455255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455255, s2 = 11478742, int(edited[s2]) = 0 s1 = 11455255, s2 = 11478742, d1 = 23, d2 = 21 Dl.O(d1) = 263811100,260670511,115004993 Dl.O(d2) = 273372535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455349, s2 = 11420812, int(edited[s2]) = 0 s1 = 11455349, s2 = 11420812, d1 = 2, d2 = 5 Dl.O(d1) = 273554994 Dl.O(d2) = 163596245,151717450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455349, s2 = 11420812, dlinesl.size( ) = 12 s1 = 11455351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11455379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455379, s2 = 10634174, int(edited[s2]) = 0 s1 = 11455379, s2 = 10634174, d1 = 15, d2 = 0 Dl.O(d1) = 201708018,207556616,264795803 Dl.O(d2) = 228598351,228598350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455379, s2 = 10634174, dlinesl.size( ) = 28 s1 = 11455401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11455557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455557, s2 = 11481552, int(edited[s2]) = 0 s1 = 11455557, s2 = 11481552, d1 = 7, d2 = 15 Dl.O(d1) = 201766876 Dl.O(d2) = 219643083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455557, s2 = 11481552, dlinesl.size( ) = 14 s1 = 11455607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455607, s2 = 11361342, int(edited[s2]) = 0 s1 = 11455607, s2 = 11361342, d1 = 8, d2 = 0 Dl.O(d1) = 263216821,262312677 Dl.O(d2) = 73522406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455607, s2 = 11361342, dlinesl.size( ) = 14 s1 = 11455905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455905, s2 = 11529244, int(edited[s2]) = 0 s1 = 11455905, s2 = 11529244, d1 = 0, d2 = 38 Dl.O(d1) = 201851918 Dl.O(d2) = 265669856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455905, s2 = 11529244, dlinesl.size( ) = 52 s1 = 11456011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11456045, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11456069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456069, s2 = 11328206, int(edited[s2]) = 0 s1 = 11456069, s2 = 11328206, d1 = 15, d2 = 23 Dl.O(d1) = 194986172 Dl.O(d2) = 272526314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456069, s2 = 11328206, dlinesl.size( ) = 28 s1 = 16350869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16350869, s2 = 16221310, int(edited[s2]) = 0 s1 = 16350869, s2 = 16221310, d1 = 1, d2 = 1 Dl.O(d1) = 48031796,59333427,72067845,85655237,258029976,53520883,43042371,33984824,26144927,26144926,22129385,16014587,16014585,22129377,29464171,38026322,29465718,29465720,38027885,47941643,48031780,59424282,72163191,72163233,59424344,48031848,48031847,49044479,39114683,39114684,49044473,39114678,30517339,29553625,29553626,38026332,38026333,47940118,53532685,65557512,78892519,93002358,99711670,85757734,72163261,60448275,60448276,50843880,40737987,31989138,31989135,29505189,29505188,38068543,33984829,268316047,19447579,268517205,38027897,29465732,22130866,16015970,16015969,22130861,29465725,38027890,47941654,59333441,59774768,49933035,39914710,39914711,39114690,30517346,23101160,23101161,30517350,39114694,39114667,39114668,49044462,60448263,50436859,50436860,61927410,74721055,88349122,99603389,99603390,89056319,75327403,62427671,50843884,40737989,31989140,24433990,24433991,22165377,16042972,16042970,22165373,29505182,38068534,39376586,49304309,59370954,72103650,85689531,81615799,81615800,87073021,101069321,95648895,259809733,123990659,127522980,113651742,99638460,99638459,113651741,123990661,271386342,87072884,73455134,60706751,49304317,49304318,60706753,68125993,55728027,44820097,35394183,35394182,44820095,55728023,68125986,73455120,60706741,60706742,59370963,47980726,38068533,38068532,47980724,269806199,85689540,81615803,68125999,55728036,44820101,35394185,35394184,44820099,55728031,59673419,55728039,44820105,256240361,20332081,14591650,255344185,27267554,23351418,23351417,30775153,39376592,257607163,73455132,87072880,101069189,115145257,129074580,142450388,155095402,166791781,177344547,186665633,194782401,201728182,200503585,193354669,185024267,175484496,164731087,152899901,140209717,126863072,113011225,99023430,85098781,71527412,71527413,63781833,51966435,41658641,32748018,32748017,39356403,39356402,32747752,25056383,25056385,31685089,31685088,32747780,37503868,37503869,37701956,29141053,256358413,257480151,67645195,55306255,44461224,44461223,55306253,58188613,46822463,36971668,36971670,46850467,58218288,59753548,59753626,57661806,57661805,64857874,257814527,42521025,33520765,25740950,25740949,25740952,19107498,13642560,9342129,6119220,6119219,9342127,13642552,255683997,33520737,40257125,33520753,33520752,25741026,19107538,19107536,25741022,33520881,30667568,23252064,23252065,23252093,16989126,11903808,11903810,16989133,17591945,23935007,30500183,39096095,30667582,30667581,39263253,49189274,60589600,73334022,70351903,57662031,46317791,46317790,57662030,52303136,41962592,41962591,256017596,41422792,41422281,40257461,31569980,31569981,24882435,18384083,18384086,18405796,18405794,18384090,18384093,24882447,24882461,24882460,18384163,13058299,8898199,5806420,254292407,1251240,711210,401360,401361,711211,1251243,2162698,3621703,5806434,8898114,13058177,13076379,13076349,8910638,5814790,5814789,8910634,13076342,13076499,13076498,18409825,24916333,32569081,32568987,24916173,18409688,13076375,13076376,18409693,24916177,32568992,32569147,24916294,24916296,18409813,18409814,24916280,24916279,32569127,41376002,32526731,32526732,32526127,32526126,41375348,41375327,32526099,32526100,32568926,24916130,24916129,32568916,24916120,18409654,18409655,24916125,24916335,32568850,24916081,18409622,13076334,8910626,8910627,13076337,13076368,13076369,18409677,24916148,32568950,41429088,41429121,32568984,24916170,24916166,30814854,39420029,49349556,41428975,32568853,32568854,41233917,32409037,32409038,41233910,51431976,41234009,41234008,51432103 Dl.O(d2) = 48031796,59333427,72067845,85655237,258029976,53520883,43042371,33984824,26144927,26144926,22129385,16014587,16014585,22129377,29464171,38026322,29465718,29465720,38027885,47941643,48031780,59424282,72163191,72163233,59424344,48031848,48031847,49044479,39114683,39114684,49044473,39114678,30517339,29553625,29553626,38026332,38026333,47940118,53532685,65557512,78892519,93002358,99711670,85757734,72163261,60448275,60448276,50843880,40737987,31989138,31989135,29505189,29505188,38068543,33984829,268316047,19447579,268517205,38027897,29465732,22130866,16015970,16015969,22130861,29465725,38027890,47941654,59333441,59774768,49933035,39914710,39914711,39114690,30517346,23101160,23101161,30517350,39114694,39114667,39114668,49044462,60448263,50436859,50436860,61927410,74721055,88349122,99603389,99603390,89056319,75327403,62427671,50843884,40737989,31989140,24433990,24433991,22165377,16042972,16042970,22165373,29505182,38068534,39376586,49304309,59370954,72103650,85689531,81615799,81615800,87073021,101069321,95648895,259809733,123990659,127522980,113651742,99638460,99638459,113651741,123990661,271386342,87072884,73455134,60706751,49304317,49304318,60706753,68125993,55728027,44820097,35394183,35394182,44820095,55728023,68125986,73455120,60706741,60706742,59370963,47980726,38068533,38068532,47980724,269806199,85689540,81615803,68125999,55728036,44820101,35394185,35394184,44820099,55728031,59673419,55728039,44820105,256240361,20332081,14591650,255344185,27267554,23351418,23351417,30775153,39376592,257607163,73455132,87072880,101069189,115145257,129074580,142450388,155095402,166791781,177344547,186665633,194782401,201728182,200503585,193354669,185024267,175484496,164731087,152899901,140209717,126863072,113011225,99023430,85098781,71527412,71527413,63781833,51966435,41658641,32748018,32748017,39356403,39356402,32747752,25056383,25056385,31685089,31685088,32747780,37503868,37503869,37701956,29141053,256358413,257480151,67645195,55306255,44461224,44461223,55306253,58188613,46822463,36971668,36971670,46850467,58218288,59753548,59753626,57661806,57661805,64857874,257814527,42521025,33520765,25740950,25740949,25740952,19107498,13642560,9342129,6119220,6119219,9342127,13642552,255683997,33520737,40257125,33520753,33520752,25741026,19107538,19107536,25741022,33520881,30667568,23252064,23252065,23252093,16989126,11903808,11903810,16989133,17591945,23935007,30500183,39096095,30667582,30667581,39263253,49189274,60589600,73334022,70351903,57662031,46317791,46317790,57662030,52303136,41962592,41962591,256017596,41422792,41422281,40257461,31569980,31569981,24882435,18384083,18384086,18405796,18405794,18384090,18384093,24882447,24882461,24882460,18384163,13058299,8898199,5806420,254292407,1251240,711210,401360,401361,711211,1251243,2162698,3621703,5806434,8898114,13058177,13076379,13076349,8910638,5814790,5814789,8910634,13076342,13076499,13076498,18409825,24916333,32569081,32568987,24916173,18409688,13076375,13076376,18409693,24916177,32568992,32569147,24916294,24916296,18409813,18409814,24916280,24916279,32569127,41376002,32526731,32526732,32526127,32526126,41375348,41375327,32526099,32526100,32568926,24916130,24916129,32568916,24916120,18409654,18409655,24916125,24916335,32568850,24916081,18409622,13076334,8910626,8910627,13076337,13076368,13076369,18409677,24916148,32568950,41429088,41429121,32568984,24916170,24916166,30814854,39420029,49349556,41428975,32568853,32568854,41233917,32409037,32409038,41233910,51431976,41234009,41234008,51432103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16350869, s2 = 16221310, dlinesl.size( ) = 2 s1 = 16350869, s2 = 16221310, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 16350869, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11456209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456209, s2 = 11421186, int(edited[s2]) = 0 s1 = 11456209, s2 = 11421186, d1 = 48, d2 = 18 Dl.O(d1) = 274010463,274421055,266141805,234034104,235068483,266531733,237643004,238349355,238992856,239584618,240131901,266967513,267055185,241109935,240639476,240131896,240131897,240131899,267013169,267095163,274935512,274915223,266340518 Dl.O(d2) = 263576636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456209, s2 = 11421186, dlinesl.size( ) = 44 s1 = 11456383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456383, s2 = 11368238, int(edited[s2]) = 0 s1 = 11456383, s2 = 11368238, d1 = 12, d2 = 16 Dl.O(d1) = 263620774 Dl.O(d2) = 262216698,86014898,259355784,48297693,258791712,255111432,9369836,9369834,13682270,19160791,25808451,33606315,42631243,53078764,255917946,28832428,28832427,36953146,36953145,46831251,256638832,64274337,260864805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456383, s2 = 11368238, dlinesl.size( ) = 20 s1 = 11456447, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11456475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11456737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11456885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456885, s2 = 11467072, int(edited[s2]) = 0 s1 = 11456885, s2 = 11467072, d1 = 0, d2 = 11 Dl.O(d1) = 202145876 Dl.O(d2) = 212718567,265555746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456885, s2 = 11467072, dlinesl.size( ) = 12 s1 = 11456977, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11457075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457075, s2 = 11406360, int(edited[s2]) = 0 s1 = 11457075, s2 = 11406360, d1 = 1, d2 = 10 Dl.O(d1) = 195312242 Dl.O(d2) = 263983239,187262768,178017296,167549061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457075, s2 = 11406360, dlinesl.size( ) = 14 s1 = 11457117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457117, s2 = 14116044, int(edited[s2]) = 0 s1 = 11457117, s2 = 14116044, d1 = 29, d2 = 36 Dl.O(d1) = 264293765 Dl.O(d2) = 273364322,176334671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457117, s2 = 14116044, dlinesl.size( ) = 2 s1 = 11457117, s2 = 14116044, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11457117, Dl.E( ) = 46, 3.6e-05 seconds used appending s1 = 11457259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457259, s2 = 11500396, int(edited[s2]) = 0 s1 = 11457259, s2 = 11500396, d1 = 3, d2 = 16 Dl.O(d1) = 202257956 Dl.O(d2) = 216694127,219908264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457259, s2 = 11500396, dlinesl.size( ) = 22 s1 = 11457287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457287, s2 = 11348444, int(edited[s2]) = 0 s1 = 11457287, s2 = 11348444, d1 = 9, d2 = 5 Dl.O(d1) = 195391266 Dl.O(d2) = 178122370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457287, s2 = 11348444, dlinesl.size( ) = 12 s1 = 11457309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457309, s2 = 11286546, int(edited[s2]) = 0 s1 = 11457309, s2 = 11286546, d1 = 8, d2 = 19 Dl.O(d1) = 195397041 Dl.O(d2) = 263258070,102266056,88267859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457309, s2 = 11286546, dlinesl.size( ) = 28 s1 = 11457343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457343, s2 = 7994326, int(edited[s2]) = 0 s1 = 11457343, s2 = 7994326, d1 = 102, d2 = 122 Dl.O(d1) = 262964952 Dl.O(d2) = 50039050,40019507,40019508,50039052,50039053,50039054,61518060,74295675,257155094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457343, s2 = 7994326, dlinesl.size( ) = 68 s1 = 16170208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11457593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457593, s2 = 11125652, int(edited[s2]) = 0 s1 = 11457593, s2 = 11125652, d1 = 14, d2 = 8 Dl.O(d1) = 262369162 Dl.O(d2) = 258292166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457593, s2 = 11125652, dlinesl.size( ) = 14 s1 = 8748923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070799, s2 = 7976571, int(edited[s2]) = 0 s1 = 14070799, s2 = 7976571, d1 = 50, d2 = 61 Dl.O(d1) = 261438631,159434810,170777110,180908442,189797281,197461976 Dl.O(d2) = 32803322,25101439,18552930,18552931,25101440,22013099,15911572,15911571,15911564,15911565,16273714,11315866,11315865,16273711,22441944,23441603,255986308,255151708,34693249,26698596,256009163,23766244,22442147,22442148,29808809,38380859,29808823,255473651,11315952,11315951,16273848,22441843,28256406,28256405,36751466,37216057,38380506,48291207,48291703,49400735,48291125,38380441,29808488,22441905,22441904,29808484,38380438,38538211,48446827,48446828,59833244,72568705,86010013,86010012,87166910,73548450,73548451,87166912,77151167,64019059,52184722,41859274,41859275,52184725,64019063,77151175,84512858,70949254,70949253,58232051,46864132,46864133,255415036,73548502,60801513,59498774,48110608,48110610,256340264,29632591,29632589,38199350,48110604,59498762,72234252,256881744,74441643,61657644,61657643,58491060,47113026,37216001,37216002,47113028,58491062,71212849,72109989,256863532,38074272,29510003,22169082,22169083,29510005,38074276,47987031,47617768,37693657,29132277,29132276,37693651,47617758,59021595,55461855,44613287,35232037,27137371,27137372,35232040,44613293,55461866,67803401,63786716,51971457,44613177,44613178,44613176,256013330,20230562,20230561,27137329,35231970,44613168,36996586,36996585,46875161,47112951,48290854,38380198,29808283,22441737,16273563,16273562,22441734,29808277,22442378,16273992,16273993,22000045,29330562,37899096,47820974,40598385,37974451,29809104,29809105,36996688,36996689,39975824,44412771,44749002,39976461,31301766,31301767,39976458,31301761,23815206,23815205,29808304,22441761,22441759,25463175,18862929,17964532,16273556,16273557,22441722,29808254,38059918,29496852,22157791,22157792,29496854,270836359,266115525,229993949,229993950,231415589,265599590,265895086,226566508,224472178,224472180,265565971,222061644,219254985,274276766,222061495,222061578,222061492,222061494,219254897,215931017,211914634,206999361,206999362,211914639,215930998,219254873,222061514,224472127,224472468,222061887,222061888,274410604,226566527,224472252,222061646,219254987,215931088,215931089,265203301,224472121,265203289,215930998,219254873,222061514,224472127,224472468,222061887,219255185,215931260,215931259,219255180,222061883,219255200,215931270,211914827,206999504,201048023,193988621,185749476,176302224,165629552,165629551,176302220,185749468,193988616,201048010,206999493,206999409,201047938,193988566,185749438,176302204,176302205,185749442,193988575,201047946,206999417,211914718,215931126,219255035,219255079,215931179,211914758,211914757,215931027,215931026,219254915,222061562,224472177,226566507,228391253,229993947,231415584,231415594,265867259,226566514,224472184,222061568,219254921,215931031,211914648,211914647,215931029,219254917,222061567,224472182,224472187,222061569,219254953,219254954,222061584,264994084,265203283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070799, s2 = 7976571, dlinesl.size( ) = 64 s1 = 13800987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8712196, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11458177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458177, s2 = 10458165, int(edited[s2]) = 0 s1 = 11458177, s2 = 10458165, d1 = 5, d2 = 1 Dl.O(d1) = 273412619 Dl.O(d2) = 117617916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458177, s2 = 10458165, dlinesl.size( ) = 14 s1 = 11458277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11458291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458291, s2 = 11362796, int(edited[s2]) = 0 s1 = 11458291, s2 = 11362796, d1 = 11, d2 = 22 Dl.O(d1) = 195887732 Dl.O(d2) = 262809962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458291, s2 = 11362796, dlinesl.size( ) = 30 s1 = 11458479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458479, s2 = 11031736, int(edited[s2]) = 0 s1 = 11458479, s2 = 11031736, d1 = 15, d2 = 16 Dl.O(d1) = 271880592,75979020 Dl.O(d2) = 254876120,18234530,16724930,11682917,7790527,4939447,2980616,2980614,4939445,4226384,4226383,6744976,10264807,14927615,20825951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458479, s2 = 11031736, dlinesl.size( ) = 36 s1 = 11458587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458587, s2 = 11151396, int(edited[s2]) = 0 s1 = 11458587, s2 = 11151396, d1 = 39, d2 = 40 Dl.O(d1) = 264247052,202347766,202347763,195490418 Dl.O(d2) = 167814996,167814997,178257814,187472104,195490415,202347783,195490444,187472133,187472136,178257837,167815015,156220346,143689782,130363162,116524963,258182500,60595229,60595228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458587, s2 = 11151396, dlinesl.size( ) = 48 s1 = 11458623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458623, s2 = 14336327, int(edited[s2]) = 0 s1 = 11458623, s2 = 14336327, d1 = 9, d2 = 2 Dl.O(d1) = 262289430,261231100,145224620,131990671,118173415,104017206,89891538,76090170,63089294,51397167,41204326,32383999,24763572,18286551,12979424,8835328,5877853,3669677 Dl.O(d2) = 3669699,3669701,5877936,9004159,9004326,13209117,18587778,19482959,19482958,26191983,34046147,268239190,20976494,20976493,28155520,36629563,257403759,258638725,84089987,97963674,111901125,125718578,139057510,151759444,163634627,174470886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458623, s2 = 14336327, dlinesl.size( ) = 2 s1 = 11458623, s2 = 14336327, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11458623, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 14991743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14991743, s2 = 8658374, int(edited[s2]) = 0 s1 = 14991743, s2 = 8658374, d1 = 19, d2 = 20 Dl.O(d1) = 258060330,256328668,58538994,58472398,47094486,37198594,28675883,21427711,21427710,28060497,20890185,14986636,14986637,15598690,10790843,7129250,7129249,10790841,15598699,14597228,10044157,10044156,14597221,19029200,13582807,13582804,255341639,15598514,15598515,15587604,254593516,14926897,14926898,11511697,11511698,16518119,14596307,10043561,10043560,14596304,20338211,22770146,20350899,14607505,10051424,10051423,14607504,16523753,255001208,21276424,28493339,36990601,46869273,58237057,58237055,58237054,70954155,84517778,98439415,112428133,126291614,139662572,152383477,164255501,175059556,184650832,193028286,263822956,207385010,201495642,194498059,186329573,176959942,166367269,154650362,154650361,166367267,176959938,186329568,194498026 Dl.O(d2) = 207385006,212241020,212241014,207385001,201495623,194498029,263308104,176959926,186329551,186329553,176959928,166367262,154650359,142006018,128642606,128642607,142006019,262288517,142006017,128642605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14991743, s2 = 8658374, dlinesl.size( ) = 2 s1 = 14991743, s2 = 8658374, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14991743, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 11458847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458847, s2 = 11543232, int(edited[s2]) = 0 s1 = 11458847, s2 = 11543232, d1 = 1, d2 = 13 Dl.O(d1) = 203166062 Dl.O(d2) = 265431027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458847, s2 = 11543232, dlinesl.size( ) = 14 s1 = 11458927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458927, s2 = 14036273, int(edited[s2]) = 0 s1 = 11458927, s2 = 14036273, d1 = 12, d2 = 10 Dl.O(d1) = 22899349,255125638,18910022,13478532,13478531,18910019,25519685,33279912,42259662,42259663,52645320,64544499,77726624,91654268,105862236,120074832,133918097,146259634,133025851,119190847,104995980,90818530,76942861,63835686,268445946,61779280,63835691,65058018,65058015,65058014,78336917,92369720,106673658,115195712,129127394,134724307,134724306,129127396,115195714,101117605,269880084,260081581,129127400,142504606,260950690,273485994,274136363,266164609,266187000,274582760,274497422,228998513,227260333,225270559,264908572,263777872,263777870,263202358,145836787,145836786,262433727,179785185,188767287,273145062 Dl.O(d2) = 63518611,268968982,13084959,8916659,5818897,3629819,3629818,254635189,255235703,256637606,13348085,13348084,13348085,9120927,9120928,13348088,11270805,7481765,7481763,11270798,12523474,11682333,7790174,4939277,4939278,7790178,11682341,16724214,11949923,11949925,8471005,5475637,5475634,254863463,268063158,5718048,5718047,8779524,9757194,9757193,10001527,14536266,16522653,11949442,11949443,17034991,22719858,22719857,18045773,18045772,22719503,27974746,20811180,16724813,255004708,13285493,9068691,9068690,13285491,9070583,9070582,13287561,18680438,25251322,30109856,24705456,18234573,12933996,12933997,14923933,10262333,10262331,14923927,10358719,6822737,6822738,10358722,14946300,14946299,20846735,19615870,19615868,18539857,13173385,13173386,10275886,6753118,4231592,2530069,2530071,4231598,6753133,4847331,2920839,2474144,1430132,1430131,2474139,4136164,6602457,10047373,11515540,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473537,4134995,4488714,7130127,10792162,11539110,7676800,7676799,11539105,10441592,10441587,11954877,14968047,10790272,10790271,10392082,10392080,12680519,12680524,17900642,15590055,10784867,7125855,4486380,4486379,7125851,10784860,10377200,6837826,4290333,2565071,1477078,835167,835165,1477069,2565053,4290301,6837768,6743514,6743515,10262170,13544973,9272742,9272745,13544965,18981626,25590890,33351393,42332920,52720039,64620200,53175015,42725450,33695757,255312304,256040678,13971496,13971499,14203009,9763700,6419545,4027360,4027359,6419541,9763694,9762751,9762750,14201796,9762678,6418885,6418888,9762689,14201813,19179423,19179422,19605538,19606082,14048681,9660142,6352450,6352449,6419399,9763478,14099473,14099472,14099821,9697882,9697884,6419166,4027126,4027123,6419157,9763125,9660211,6352493,3985882,3985879,6352482,9409539,9409541,13734946,13737026,19226565,19226563,13738152,13738150,19230498,19226555,14201607,9762551,9762550,14201600,18521428,18521443,25060007,25060008,19353812,13842096,9494978,9494979,13842103,19227177,19227176,25887130,33693867,33808123,26198595,19489103,13948090,9574861,6283489,6283490,6378193,6378192,9452672,6197285,6197287,9452677,13786710,19209570,13720897,13720898,13804464,9660418,9660419,9483404,9483403,13827548,18534976,18534975,19209685,19209681,25078118,25890017,19297906,13797407,13797406,19297902,25963784,26350810,33693364,25973473,19306382,19306383,25973477,25866876,25866864,19209028,13720303,13720305,19209033,25866870,25866859,19209026,19209025,255586478,19507388,255231868,254951739,19507385,26221574,25866882,19209041,13720309,9498879,254946961,19358870,25078115,19426599,255198472,13786712,9461353,9461352,9494605,6227133,4867510,2933057,1701109,967056,967054,1701102,2933042,3437200,5552647,4892997,4892998,7695828,4902758,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869540,3731290,2233872,2233874,3731281,5966891,9119206,7726499,4890646,2947171,2947172,4890649,7726504,7732885,7732880,4895582,4895583,7732883,4895977,4895978,4865137,4865136,4274353,2555528,267821915,2555616,2555618,4274504,2901565,2901566,4814742,7610429,7697217,4871542,4871540,7697212,11437334,7605071,7605072,11437336,7690161,7690162,7730325,11610548,11447904,7613561,4816922,2902872,1684017,267791449,2903056,1684104,973217,973219,1712616,2953310,4900234,7604130,7604129,7614039,11420732,7590839,7590840,7604201,5692601,3541446,3541448,5692604,8743970,7609075,7609076,7595480,4804553,2900238,2900239,4812353,7606711,6813094,6813093,10347793,7614683,4817691,4817692,7614687,7604254,4810752,2899364,1682200,1682199,2899358,4810738,7604235,7605022,4811286,2899643,2899644,2899722,254317167,2452099,1417649,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104630,3535877,3535851,3535850,254625263,12839234,18106816,24540654,32118273,40892271,34517673,26550290,26550291,34517675,43691548,43691550,54364045,49473493,49473494,60877832,73628648,87250320,93594620,87277332,80238171,66810040,54557108,54557110,60033351,60033349,61118280,58547171,47158932,37254161,35953306,35953305,45613884,49569081,39599195,39599197,49569066,51871549,41579651,32682985,25004090,18477600,13126968,8946695,5839904,3644485,3644482,5839839,5839843,8946569,12731603,12731602,17965786,17965741,17965740,268453093,31384918,268681305,50088925,61568991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458927, s2 = 14036273, dlinesl.size( ) = 14 s1 = 11459229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11459373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459373, s2 = 14091982, int(edited[s2]) = 0 s1 = 11459373, s2 = 14091982, d1 = 9, d2 = 12 Dl.O(d1) = 196950128 Dl.O(d2) = 255212660,41798260,255605328,52112458,41798263,254622666,18610769,13228364,254286694,25168913,32876821,41798255,255605324,77044761,257118750,105106592,105106591,258314356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459373, s2 = 14091982, dlinesl.size( ) = 2 s1 = 11459373, s2 = 14091982, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11459373, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 11459413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459413, s2 = 10444589, int(edited[s2]) = 0 s1 = 11459413, s2 = 10444589, d1 = 5, d2 = 9 Dl.O(d1) = 203606857 Dl.O(d2) = 213658155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459413, s2 = 10444589, dlinesl.size( ) = 8 s1 = 13851327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11459583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13782724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11459693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459693, s2 = 11389258, int(edited[s2]) = 0 s1 = 11459693, s2 = 11389258, d1 = 11, d2 = 0 Dl.O(d1) = 273442177 Dl.O(d2) = 146802827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459693, s2 = 11389258, dlinesl.size( ) = 12 s1 = 11459703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459703, s2 = 11403398, int(edited[s2]) = 0 s1 = 11459703, s2 = 11403398, d1 = 7, d2 = 0 Dl.O(d1) = 263335495 Dl.O(d2) = 133547663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459703, s2 = 11403398, dlinesl.size( ) = 12 s1 = 8528743, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11459803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459803, s2 = 11477602, int(edited[s2]) = 0 s1 = 11459803, s2 = 11477602, d1 = 3, d2 = 8 Dl.O(d1) = 203827297 Dl.O(d2) = 213796335,213796334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459803, s2 = 11477602, dlinesl.size( ) = 14 s1 = 11459823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459823, s2 = 11332328, int(edited[s2]) = 0 s1 = 11459823, s2 = 11332328, d1 = 19, d2 = 0 Dl.O(d1) = 197270756,189581469 Dl.O(d2) = 133583974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459823, s2 = 11332328, dlinesl.size( ) = 28 s1 = 11459857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459857, s2 = 14078504, int(edited[s2]) = 0 s1 = 11459857, s2 = 14078504, d1 = 5, d2 = 7 Dl.O(d1) = 197280449,189591721 Dl.O(d2) = 261426700,260262502,259018652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459857, s2 = 14078504, dlinesl.size( ) = 8 s1 = 11460149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460149, s2 = 11409792, int(edited[s2]) = 0 s1 = 11460149, s2 = 11409792, d1 = 8, d2 = 2 Dl.O(d1) = 197450096 Dl.O(d2) = 170750494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460149, s2 = 11409792, dlinesl.size( ) = 20 s1 = 11460321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460321, s2 = 10537198, int(edited[s2]) = 0 s1 = 11460321, s2 = 10537198, d1 = 2, d2 = 9 Dl.O(d1) = 197489709 Dl.O(d2) = 261978335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460321, s2 = 10537198, dlinesl.size( ) = 14 s1 = 11460343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460343, s2 = 14075488, int(edited[s2]) = 0 s1 = 11460343, s2 = 14075488, d1 = 19, d2 = 10 Dl.O(d1) = 204015425,262738500,192956562,200150555,192956557,184570287,184570288,174966649,164148175,152262422,139530866,126155597,126155596 Dl.O(d2) = 271348222,126155597,112295434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460343, s2 = 14075488, dlinesl.size( ) = 2 s1 = 11460343, s2 = 14075488, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11460343, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 11460469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11460565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460565, s2 = 16308243, int(edited[s2]) = 0 s1 = 11460565, s2 = 16308243, d1 = 61, d2 = 35 Dl.O(d1) = 264879647 Dl.O(d2) = 201934549,195014700,273225438,271975500,271855515,142964725,274037996,265426011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460565, s2 = 16308243, dlinesl.size( ) = 14 s1 = 11460737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460737, s2 = 245927, int(edited[s2]) = 0 s1 = 11460737, s2 = 245927, d1 = 61, d2 = 86 Dl.O(d1) = 260556456 Dl.O(d2) = 123950311,109812600,95609192,81575328,68085361,55686985,44778735,44778736,55686988,68085362,81575331,81575332,68085363,68085362,81575331,81575330,81575331,81575332,68085363,68085362,81575331,81575332,68085365,256169410,256169408,90556407,256179100,63937194,52117287,41802845,32880976,25172506,18911837,18854925,13433822,12500855,8467985,6011557,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777846,8917545,13086217,18423431,24935326,32597300,41474311 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460737, s2 = 245927, dlinesl.size( ) = 38 s1 = 11460747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460747, s2 = 14139578, int(edited[s2]) = 0 s1 = 11460747, s2 = 14139578, d1 = 24, d2 = 31 Dl.O(d1) = 204110951,209541537 Dl.O(d2) = 213996897,209541536,209541537,213996898,217654208,213996897,265301253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460747, s2 = 14139578, dlinesl.size( ) = 32 s1 = 11460821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460821, s2 = 11577250, int(edited[s2]) = 0 s1 = 11460821, s2 = 11577250, d1 = 15, d2 = 0 Dl.O(d1) = 264369961,265103243,265648083 Dl.O(d2) = 229139182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460821, s2 = 11577250, dlinesl.size( ) = 16 s1 = 9232169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11461621, s2 = 14048601, int(edited[s2]) = 0 s1 = 11461621, s2 = 14048601, d1 = 30, d2 = 26 Dl.O(d1) = 264150250,218037025 Dl.O(d2) = 254117736,10275869,14938968,10274511,6752272,6752273,10274516,10047329,6602429,6602427,10047325,13311345,18704524,16523372,11515538,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,11338685,11338682,16296572,17499433,17489539,12331453,8330293,5376381,3305990,1944927,1944929,3305997,254484260,12331337,17489372,23826922,26344698,19615822,14056720,9665907,9665905,14056719,19615821,18322327,18322328,21620566,21620567,28064562,267979868,809224,458633,258662,143423,143427,258681,458683,809351,1422648,2461055,4114436,6567838,6567839,9993419,14516720,9988942,6565165,4112870,4112871,6565170,9988952,14516739,20230040,14523426,14523423,9994336,6568408,4114757,2461251,2461250,4114755,6568404,9993383,9993384,14523705,16698319,20240285,22697847,16495011,16495010,20228456,20228457,20230063,16495018,14521396,9991939,6566978,4113901,2460728,1422472,809253,458645,458646,809258,809335,1422623,2461029,4114406,6567857,9993407,9993408,14523739,20230000,14516711,9988936,9988933,9993528,9993530,14523911,20240554,20242236,20242238,27145992,20236778,14525148,9994352,9994317,6568396,6568397,9993369,6567817,6567818,9993374,14523689,20240277,22697762,16495006,16495005,20236743,14521331,14516752,9988965,9988966,14516758,9991887,6566945,4113880,2460712,1422461,1422460,2460709,2461018,2461017,4114387,4114398,6566924,6566925,9991855,14521283,20236684,20236953,14521490,14521489,20229984,14523902,14523904,20240545,27150276,27150289,29627320,22275634,22275633,20242335,14525167,14525111,9994310,9994309,14525108,14523673,14523675,20240264,27150852,22697773,16494941,16494940,22697767,27145943,27145942,27136670,20230054,20230057,20236704,14521308,9991880,6566936,4113874,4113863,4113862,6566917,7643756,6567824,6567825,6567842,9991861,14521272,14521280,20236678,27145881,27146147,27146144,27146143,25227101,25227100,20239720,14523259,14523260,20239725,27150294,29627318,27152571,27152573,35251144,27153314,20242274,20242262,20242263,20240256,20240255,27150843,35249264,35249273,27151082,20240526,20240525,22937154,16702015,16702014,22937151,30338264,27145903,20236696,20236698,20236651,14521259,9991836,9991835,11492686,11492687,14523713,14523719,14523767,20236686,20236674,20236673,27145874,35243033,27146061,27146059,27150299,22946572,22946573,20239740,14523267,14523268,20239748,27150328,30342200,22942247,22942249,30343441,35252072,35252068,27153308,27153306,35249257,35249256,35249259,38924677,30338366,30338367,27151077,22937190,16702031,11662326,11662324,16702025,22937176,22933548,16698702,16698701,22933540,30334369,27145820,27145819,22946491,22946490,30347799,26162234,19462105,19462107,22940912,30342119,35243023,38654438,30347902,22946591,16710257,11669211,11669212,16710263,20239737,20239734,27150306,30342250,22941045,22941044,22946562,30347868,34003887,30342454,22941226,16705557,16705559,22941236,30342466,38924647,30338336,30338338,38924655,30338550,30338287,22937165,22937164,30334400,22933565,16698712,11659372,11659371,16698706,22933554,29454102,29454101,30347792,22946498,16710202,16710203,22946502,22940908,22940909,30342116,30077593,30077592,24282282,17901599,17901598,22946578,22946579,30347888,30347909,35248742,38933122,30347465,30079084,30079085,30347860,38933473,48852765,48848687,38928626,30342441,30342440,38928623,38928643,30346989,22945624,22945625,30340861,22941032,22941029,22946126,22946141,30347440,30334356,22933526,16698695,16698694,22933522,30334351,38016335,30347839,22946539,16710221,11669186,11669185,16710214,22946530,22696617,16494074,11491943,11491945,16494081,12681316,12681315,17901605,24282291,31796107,38933503,38933136,30347477,22946178,22946177,30347473,38933102,30347780,30347779,38933088,31796130,24282315,24282316,31796113,30346999,22945631,16709479,16709478,22939596,16709897,11668967,11668968,16709903,22946152,30347450,30347363,30346116,30338418,30338417,38924708,48844948,38924537,30347811,22946517,16710208,16710207,22946510,22696651,16494105,11491957,7643310,7643309,11491952,16494095,17901595,24282273,31796094,40491025,48852803,48840121,38919628,30333229,22932392,22932394,22946108,16709866,11668955,11668956,16709845,16709844,22946067,20240028,14523490,14523489,20240025,27150636,22937106,16701960,16701961,22120043,22120042,22120020,22120019,29454130,30338595,255950842,22933072,16698298,16698295,11662535,7773546,7773543,9993545,7773434,4926038,2971120,2971118,2971200,2971199,2971228,4926236,7773713,7773883,4926331,2971270,2971267,4926317,7773864,11663023,11662214,7773321,7773322,4926370,4926372,7773937,11663105,16703088,12507403,8472936,5476913,5476912,7773976,7773975,6567928,6567929,9993566,11662284,7773370,4926010,4926011,7773377,11662293,16699543,11662585,7773586,7773587,7773725,11662498,7773525,4926095,2971148,1724085,980136,551891,308896,308898,551898,980160,1724142,2971248,4926264,4926070,4926069,7773487,8472902,12507434,11662194,7773310,4925975,4925976,7773316,11662140,7773290,4928229,4928230,7776418,8472877,11663154,7773964,4926387,4926385,7773957,11663146,16701990,11662307,7773397,4926020,4926019,7773393,11660834,11663968,16704027,16705211,22937445,22937444,20240572,14523927,9993539,7773502,4926075,4926074,2971179,1724102,980144,980145,980142,980141,1724093,2971170,4926122,7773562,11662554,8472896,8472897,12507426,11662190,11662189,255123487,7773265,267983495,7776412,11665956,11665977,11665976,11663134,7773952,7773953,11663138,16703107,16700365,11660919,7772240,7772155,4925023,2970353,2970352,4925017,7771251,4924369,4924367,254803565,7775807,7771050,7771047,11659711,7771188,254803569,4924385,4924384,7771268,7773580,4926810,4926811,7774586,7776355,7776356,7770196,4923462,4923464,7422050,7422049,11185854,11660903,7772210,4925111,4925110,4925036,2970359,1723555,1723554,1724026,2971034,2972689,2972688,4928370,7772225,4925123,2970432,2970433,4925128,4927827,2972335,2972333,2969477,2969478,2969791,2969789,1723209,1723207,1724879,2969887,2969889,2969879,2969877,2969928,1723282,1723281,2969924,4924356,7771236,4928200,4928196,4924348,2969918,1723274,979604,551563,308714,170771,170772,308720,551580,979627,1723303,981184,981186,1725880,2973935,2969653,2969651,1983405,1983403,2971357,4926456,7772035,4924906,4923932,2969537,2968828,2968825,2970622,1723716,979860,979861,1723719,2970626,1725093,1725092,2970501,1723633,1723632,2970495,4923530,4923527,2972894,2970027,1723367,979677,551611,551613,308893,170867,94067,94066,170861,308878,551514,551709,979636,979637,1723309,2969970,4923800,4923798,7770624,4924095,4924096,7770991,4924935,4924936,7772056,7769970,4923257,4923258,7769972,4923940,4923939,7770794,11659440,11666599,16707044,22932430,16697686,16697685,254551668,7772279,11658613,7772998,4928659,2972885,1725203,1722758,1722759,1723866,1723857,979953,979952,1723856,980035,980034,267792717,1723180,2969768,4924184,7771045,7772109,7772110,4925000,2970340,1723546,1723545,2970282,2970283,2969028,1722606,979148,979147,979179,979181,979293,979292,1722825,1725440,1725439,2973243,2968852,1722483,1722484,1722907,2969179,1722737,979235,551334,308603,308605,551338,979243,979082,979084,552470,309214,171045,171044,309207,551829,551828,980030,635356,352592,352593,635361,1132779,1983197,2563915,2971653,2970921,2970925,2968888,1723503,1723501,2970266,254551455,2969100,1722677,979192,979194,267772783,3370078,5476599,4923707,2969387,2969388,1722908,1722910,2969412,4923085,2968891,1722717,979223,979225,1722722,2969163,2972919,4928693,4930105,2973840,1725812,981147,981146,980018,980019,979138,551290,308585,170719,170718,254101643,979122,1722516,1476484,834861,834860,1476480,2563957,4288437,6834809,7770023,7770022,11658649,16697969,11660343,7771683,4924679,2970117,1723430,1723429,2970115,254551531,11660341,16699741,12507325,8472814,5476837,5476836,8472812,7778989,4930101,2973834,1725807,1725808,2973836,1983247,1722572,979133,551284,551283,979129,1476725,834996,254156043,2564409,4289159,2968880,2968881,4923073,4286719,4286720,2968920,2968919,4287672,6833853,10372090,11658645,11664544,11660375,7771705,4924694,2970126,1723436,979716,979715,1723434,2970122,4924685,7771688,11660346,11664772,16704846,12507321,12507320,17685079,24036578,268199175,10373895,6835451,6835452,7775200,254368775,1725593,981030,552393,254127159,1725591,254368773,7769799,4923135,4923136,6833849,8473075,5477009,5477010,8473077,10370986,6833423,6833424,6832868,6832869,4927578,4927579,7775493,10372925,7775279,7775280,8473072,5477004,5477003,8473070,7775100,4927214,2971849,2971850,4927217,4287674,2563491,2563490,2563328,1476091,1476090,2563324,2564405,2563253,1476050,1476051,1476732,1476731,2564416,4289168,4923154,5477249,5477252,4286991,4286992,6832949,6832895,4286961,2562997,2562999,4286968,6832908,10370980,7775110,4928737,2972938,2972935,4928727,7776968,7775286,4927381,2971970,1724613,1724615,2971980,4288321,6834688,7775304,7775303,6833530,6833531,4927278,4287439,2563297,1476077,834631,834630,1476073,2563293,1476715,1476714,2564397,2973606,1725657,981068,981069,1725661,2973610,4929745,4286802,4286803,2972675,1725076,1725075,2972671,4928349,7776555,6832919,4928781,2972970,1725270,980862,552307,552309,980866,1725251,1477875,1477874,980933,980932,1725412,2973214,4929143,7777570,11667305,15044705,10371723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11461621, s2 = 14048601, dlinesl.size( ) = 30 s1 = 11428845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428845, s2 = 11269102, int(edited[s2]) = 0 s1 = 11428845, s2 = 11269102, d1 = 51, d2 = 48 Dl.O(d1) = 189938132,260938124,262534292 Dl.O(d2) = 84009175,70475552,257395695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428845, s2 = 11269102, dlinesl.size( ) = 12 s1 = 14062987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11462273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11462273, s2 = 11255514, int(edited[s2]) = 0 s1 = 11462273, s2 = 11255514, d1 = 9, d2 = 15 Dl.O(d1) = 199043282 Dl.O(d2) = 261302766,149853512,260133422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11462273, s2 = 11255514, dlinesl.size( ) = 14 s1 = 11462407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11462969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11462969, s2 = 14096250, int(edited[s2]) = 0 s1 = 11462969, s2 = 14096250, d1 = 10, d2 = 15 Dl.O(d1) = 263673276 Dl.O(d2) = 190194922,181392327,261368168,147901275,134782735,120986161,120986160,134782732,260603558,120986168,258760646,92427499,106733362,120986162,120986164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11462969, s2 = 14096250, dlinesl.size( ) = 12 s1 = 14127270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11463303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463303, s2 = 14150698, int(edited[s2]) = 0 s1 = 11463303, s2 = 14150698, d1 = 7, d2 = 7 Dl.O(d1) = 199357800,262878444,214945805,218407397,221315628,223806715,225965781,223806726,221315643,264323566,218407399,214945806,210737829,205586126,262878444,214945805,218407397,221315627,221315629,221315630,223806716,223806720,223806710,223806711,221315624,218407392,218407393,218407403,214945808,214945807,218407401,221315633,223806718,225965784,227849350,229503774,230973547,232290865,233480311,234560641,235544209,236440227,237257938,238002529,238680030,266544902,240401007,240714947,240212267,239669040 Dl.O(d2) = 199357800,262878444,214945805,218407397,221315628,223806715,225965781,223806726,221315643,264323566,218407399,214945806,210737829,205586126,262878444,214945805,218407397,221315627,221315629,221315630,223806716,223806720,223806710,223806711,221315624,218407392,218407393,218407403,214945808,214945807,218407401,221315633,223806718,225965784,227849350,229503774,230973547,232290865,233480311,234560641,235544209,236440227,237257938,238002529,238680030,266544902,240401007,240714947,240212267,239669040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463303, s2 = 14150698, dlinesl.size( ) = 2 s1 = 11463303, s2 = 14150698, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11463303, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14150697, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11463401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11960098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11960098, s2 = 11463402, int(edited[s2]) = 0 s1 = 11960098, s2 = 11463402, d1 = 28, d2 = 25 Dl.O(d1) = 264236497,194233856 Dl.O(d2) = 176600816,186021504,194233860,201268279,201268275,201268276,207189155,201268264,194233846,186021493,186021492,194233845,201268263,201268270,194233854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11960098, s2 = 11463402, dlinesl.size( ) = 26 s1 = 15248186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15248186, s2 = 13903899, int(edited[s2]) = 0 s1 = 15248186, s2 = 13903899, d1 = 15, d2 = 31 Dl.O(d1) = 262586901,263443351,199379719,205605163,210754756 Dl.O(d2) = 237201360,237201361,237952459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15248186, s2 = 13903899, dlinesl.size( ) = 2 s1 = 15248186, s2 = 13903899, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15248186, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 14208834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11463665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463665, s2 = 11372726, int(edited[s2]) = 0 s1 = 11463665, s2 = 11372726, d1 = 8, d2 = 0 Dl.O(d1) = 263179686 Dl.O(d2) = 154620514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463665, s2 = 11372726, dlinesl.size( ) = 14 s1 = 11463943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463943, s2 = 4250183, int(edited[s2]) = 0 s1 = 11463943, s2 = 4250183, d1 = 4, d2 = 3 Dl.O(d1) = 199660163,192363019,183887724,174217284 Dl.O(d2) = 163363953,151479882,138778492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463943, s2 = 4250183, dlinesl.size( ) = 8 s1 = 11464615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464615, s2 = 14047890, int(edited[s2]) = 0 s1 = 11464615, s2 = 14047890, d1 = 14, d2 = 20 Dl.O(d1) = 274100228 Dl.O(d2) = 193927460,273352743,93250225,268944526,13498697,9235284,9235283,13498695,16110562,11190504,7425008,4691960,4691962,7424999,4691995,2827103,2827106,4692014,7425101,11190663,9206720,6027480,3770824,2259338,2259337,2522401,4218933,6733924,10248968,14906025,20799413,27961318,254979430,46632980,36748306,28253086,21052581,255014341,10431745,15124284,255315984,10439451,255015101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464615, s2 = 14047890, dlinesl.size( ) = 26 s1 = 11464831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464831, s2 = 11512264, int(edited[s2]) = 0 s1 = 11464831, s2 = 11512264, d1 = 0, d2 = 6 Dl.O(d1) = 206213746,211238890 Dl.O(d2) = 228051258,265356778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464831, s2 = 11512264, dlinesl.size( ) = 24 s1 = 11465093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11465093, s2 = 14097484, int(edited[s2]) = 0 s1 = 11465093, s2 = 14097484, d1 = 29, d2 = 25 Dl.O(d1) = 263486571 Dl.O(d2) = 258660099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11465093, s2 = 14097484, dlinesl.size( ) = 36 s1 = 8698326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13788228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13788228, s2 = 8023142, int(edited[s2]) = 0 s1 = 13788228, s2 = 8023142, d1 = 14, d2 = 4 Dl.O(d1) = 7148906,7082188,7082190,9355165,9355166,13661338,19132642,19132630,19132629,19483169,26165901,19465503,19465504,23167051,25990523,19319639,15597880,10790257,10790258,11950014,11950015,15249640,15249641,21218435,21392258,24019624,17670681,12495844,12495843,17670677,24019615,31520936,268795840,12699791,8628060,5610333,5610334,8628065,11389587,16366271,265206603,265549396,263488307 Dl.O(d2) = 256349346,15304029,10568118,8358983,8358982,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,9939582,9247274,9247272,267910856,254596560,13499874,18935464,13503028,13503026,18938788,15309406,10572876,6973813,6973812,10572874,12382843,12382844,255473859,7514567,7514568,11317252,16275477,22444280,29811227,24913873,24913874,256604793,256443264,30296071,22897478,16667186,16667184,22897473,256161577,19266422,13770958,9440660,6188662,3953651,2367659,1370629,1370630,2367661,3953656,6270919,3984005,3984001,3744730,3744726,3744771,5988800,5988802,6198852,5701369,3547637,2394528,2394523,3995737,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272044,3743623,3743625,5986992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13788228, s2 = 8023142, dlinesl.size( ) = 2 s1 = 13788228, s2 = 8023142, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13788228, Dl.E( ) = 22, 1.31e-05 seconds used appending s1 = 11465207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11465207, s2 = 11208142, int(edited[s2]) = 0 s1 = 11465207, s2 = 11208142, d1 = 12, d2 = 14 Dl.O(d1) = 263488368 Dl.O(d2) = 139651360,261088914,112418330,98429924,84508434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11465207, s2 = 11208142, dlinesl.size( ) = 18 s1 = 11465241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11465241, s2 = 11553458, int(edited[s2]) = 0 s1 = 11465241, s2 = 11553458, d1 = 0, d2 = 8 Dl.O(d1) = 206284964 Dl.O(d2) = 215403276,265361497,221651929,264956567,215403277,218791085,221651927,224108520,226239370,228094478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11465241, s2 = 11553458, dlinesl.size( ) = 34 s1 = 16190313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11465473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11960792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11465523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11465523, s2 = 11312168, int(edited[s2]) = 0 s1 = 11465523, s2 = 11312168, d1 = 16, d2 = 12 Dl.O(d1) = 273819355,263223804 Dl.O(d2) = 261268192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11465523, s2 = 11312168, dlinesl.size( ) = 14 s1 = 11465733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11465929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11465929, s2 = 10486286, int(edited[s2]) = 0 s1 = 11465929, s2 = 10486286, d1 = 24, d2 = 20 Dl.O(d1) = 262280402,263189194 Dl.O(d2) = 265579442,231228324,231228325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11465929, s2 = 10486286, dlinesl.size( ) = 26 s1 = 8725436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11466267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466267, s2 = 14115230, int(edited[s2]) = 0 s1 = 11466267, s2 = 14115230, d1 = 17, d2 = 1 Dl.O(d1) = 200466565 Dl.O(d2) = 164676193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466267, s2 = 14115230, dlinesl.size( ) = 22 s1 = 11466303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466303, s2 = 6139091, int(edited[s2]) = 0 s1 = 11466303, s2 = 6139091, d1 = 25, d2 = 27 Dl.O(d1) = 263980282 Dl.O(d2) = 267008440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466303, s2 = 6139091, dlinesl.size( ) = 24 s1 = 11466345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466345, s2 = 11164860, int(edited[s2]) = 0 s1 = 11466345, s2 = 11164860, d1 = 17, d2 = 21 Dl.O(d1) = 264206982 Dl.O(d2) = 258107492,15618004,15618006,21652318,28929455,37470724,32995299,32995300,38796915,38796916,48718019,40407525,38796911,38796912,41936171,32995310,256627733,52275105,259013085,260853021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466345, s2 = 11164860, dlinesl.size( ) = 24 s1 = 8574288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8574288, s2 = 10301153, int(edited[s2]) = 0 s1 = 8574288, s2 = 10301153, d1 = 11, d2 = 19 Dl.O(d1) = 262192036,261124656,142953461,155502603,167135399,177634790,186916404,263114558,207746997 Dl.O(d2) = 264737672,224839880,274475277,274630242,274663586,274639831,264970760,274461710,234028287,266219454,236861271,274793440,236861272,274341720,222480092,219731331,219731332,266141123,265548270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8574288, s2 = 10301153, dlinesl.size( ) = 18 s1 = 11466391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466391, s2 = 11555032, int(edited[s2]) = 0 s1 = 11466391, s2 = 11555032, d1 = 11, d2 = 9 Dl.O(d1) = 206538653,264737761 Dl.O(d2) = 274341739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466391, s2 = 11555032, dlinesl.size( ) = 10 s1 = 10262557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11466607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466607, s2 = 14004736, int(edited[s2]) = 0 s1 = 11466607, s2 = 14004736, d1 = 1, d2 = 1 Dl.O(d1) = 200612604,200612605,206628301,211597264,211597265,215659181,219018338,215659198,264483053,206628316,206628306,206628299,273708963,193481278,185162186,175625695,175625694,185162184,193481277,200612600,206628297,206628313,200612611,193481285,185162189,175625696,164869333,164869332,175625694,185162185,193481278,193481279,200612601,206628300,211597267,215659184,215659185,215659186,215659195,211597278,211597277 Dl.O(d2) = 200612604,200612605,206628301,211597264,211597265,215659181,219018338,215659198,264483053,206628316,206628306,206628299,273708963,193481278,185162186,175625695,175625694,185162184,193481277,200612600,206628297,206628313,200612611,193481285,185162189,175625696,164869333,164869332,175625694,185162185,193481278,193481279,200612601,206628300,211597267,215659184,215659185,215659186,215659195,211597278,211597277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466607, s2 = 14004736, dlinesl.size( ) = 2 s1 = 11466607, s2 = 14004736, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11466607, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14004735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11466625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4709267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11466865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466865, s2 = 12623364, int(edited[s2]) = 0 s1 = 11466865, s2 = 12623364, d1 = 67, d2 = 96 Dl.O(d1) = 264165190,205999877,263600442,184139306,174494707,174494708,263473665,199855152 Dl.O(d2) = 228002791,226141457,226141456,265417606,221534100,218654345,215233370,211080535,205999877,263600442,184139306,174494707,174494708,263473665,199855153,264450421,215233369,215233373,215233374,218654348,218654349,221534102,224002719,226141460,226432354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466865, s2 = 12623364, dlinesl.size( ) = 12 s1 = 11466999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466999, s2 = 11348952, int(edited[s2]) = 0 s1 = 11466999, s2 = 11348952, d1 = 18, d2 = 13 Dl.O(d1) = 262561954,205492063,205492065 Dl.O(d2) = 191883391,183314150,264125518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466999, s2 = 11348952, dlinesl.size( ) = 8 s1 = 11467237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467237, s2 = 13815112, int(edited[s2]) = 0 s1 = 11467237, s2 = 13815112, d1 = 26, d2 = 23 Dl.O(d1) = 263428176 Dl.O(d2) = 215545126,215545127,215545122,215545121,215545120,211455644,206453931,206453932,211455646,264967517,265335941,221776578,218924972,215545131,215545132,274269151,215545134,211455655,206453940,200406309,263590060,184907313,184907314,193247485,200406304,206453929,211455640,214926512,218389349,221298787,265545721,221776569,218924966,265178839,221776570,218924958,215545112,264967515,211455649,206453936,206453937,211455650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467237, s2 = 13815112, dlinesl.size( ) = 20 s1 = 11467795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467795, s2 = 6127727, int(edited[s2]) = 0 s1 = 11467795, s2 = 6127727, d1 = 0, d2 = 8 Dl.O(d1) = 206902058 Dl.O(d2) = 242243144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467795, s2 = 6127727, dlinesl.size( ) = 8 s1 = 13790878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13790878, s2 = 7063124, int(edited[s2]) = 0 s1 = 13790878, s2 = 7063124, d1 = 44, d2 = 66 Dl.O(d1) = 99768344,99768345,113781882,271798489,99647572,99647571,113661464,127533042,260585575,99647577,85698535,72112297,59379537,59379536,72112295,257508975,47989256,59379534,72112294,85698529,99647569,113661460,127171664,113311933,99308468,99308469,113311924,113311923,113661466,113661467,113661462,99647570,259985467,127533048,113661458,99647567,270836812,113311945,99308478,85363699,71774202,71774201,85363696,99308473,113311927,99308463,85363690,71774200,59031818,255890372,85363692,99308465,258118694,140518315,127171675,127171674,140518330,153201295,260585576,176041603,185265950,193564862,193564860,185265945,261710938,260585562,153562433,153562432,165020490,153201278,259985462,153201299,153201298,260585578,175753305,185265949,262226622,263143366,176041605,165351408,153562428,153562429,165351411,176041607,185511584,176041608,165351412,261710940,185265952,175753307,262226624,140997588,127649614,127649615,140997589,262233161,176125870,185590104,193849093,185590108,185590107,193775814,193775815,185590119,176125881,165444174,153663836,261169959,113781881,99768336,99768335,261169957,153663829,273122201,185590102,193564866,193564865,193849100,200929157,206902333,206902332,200929161,263543465,176125878,165444173,153663834,153663833,165444171,176125874,185590110,193849097,263143364,193775816,200862620,273546297,185590115,193849105,193849103,263537434,263899005,193849095,200929148,200929152,193849120,193849119,200929171,200929150,200862691,200862690,200914248,200914247,206843422,273715182,193775887,185511660,262710486,262705484,153663867,140997612,140997613,272857871,176125902,176125895,176125894,263541947,176108585,176108586,263541949,185573052,176108568,273349965,262838340,153645327,140978090,127628669,113760042 Dl.O(d2) = 273285164,201566881,263416772,262555350,261527892,154786308,262061420,142151680,128796443,114899176,100848264,100848263,114899175,128796438,142151673,154786320,166493168,154786354,142151703,128796458,128796460,142151696,154786333,262061422,186429947,194583540,273564183,166493177,154786330,154786329,166493175,177074699,186429943,194583517,186429925,177074686,166493179,154786331,142151678,128796442,114899173,114899175,128796438,142151673,154786321,154786336,166493189,177074710,186429950,194583532,201566890,207444184,207444182,273490882,262555352,262061410,166493173,154786327,142151676,259745070,100848262,100848261,270600100,86867021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14753859, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11467931, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11467963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11468043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468043, s2 = 11175604, int(edited[s2]) = 0 s1 = 11468043, s2 = 11175604, d1 = 29, d2 = 112 Dl.O(d1) = 201019497 Dl.O(d2) = 257526469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468043, s2 = 11175604, dlinesl.size( ) = 98 s1 = 11468087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11961850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11468217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468217, s2 = 11083202, int(edited[s2]) = 0 s1 = 11468217, s2 = 11083202, d1 = 12, d2 = 10 Dl.O(d1) = 259953496 Dl.O(d2) = 257475446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468217, s2 = 11083202, dlinesl.size( ) = 8 s1 = 11468331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468331, s2 = 14113564, int(edited[s2]) = 0 s1 = 11468331, s2 = 14113564, d1 = 4, d2 = 18 Dl.O(d1) = 207050962 Dl.O(d2) = 264357720,263718992,262930936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468331, s2 = 14113564, dlinesl.size( ) = 20 s1 = 11468359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468359, s2 = 10219955, int(edited[s2]) = 0 s1 = 11468359, s2 = 10219955, d1 = 188, d2 = 251 Dl.O(d1) = 260698796,176395006,165731322,259486420 Dl.O(d2) = 119672206,105433958,260258513,261422759,262329239,177664916,177664917,167165453,155532458,142982454,129653728,115755575,259267370,74128784,61346482,49863893,49863895,61346488,74128795,87734866,87734865,101709244,115755503,115755523,101842781,101842784,115887270,115887269,129785497,143115362,262339185,133547139,261422739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468373, s2 = 11521324, int(edited[s2]) = 0 s1 = 11468373, s2 = 11521324, d1 = 8, d2 = 16 Dl.O(d1) = 264766931,264943284 Dl.O(d2) = 226591298,274398054,224499524,224499525,226591301,226591299,228393186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468373, s2 = 11521324, dlinesl.size( ) = 20 s1 = 11468467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11468929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11468971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468971, s2 = 14142692, int(edited[s2]) = 0 s1 = 11468971, s2 = 14142692, d1 = 8, d2 = 3 Dl.O(d1) = 207224774,212103371 Dl.O(d2) = 216089029,216089028,216089027,216089026,265213845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468971, s2 = 14142692, dlinesl.size( ) = 16 s1 = 10269841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11469661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469661, s2 = 11367240, int(edited[s2]) = 0 s1 = 11469661, s2 = 11367240, d1 = 0, d2 = 0 Dl.O(d1) = 212162318,216143827,219442390,222228250,224619692,226696037,228505783,226734667,224663878,264861896,216215797,212250002,207395989,201509020,263329392,186347590,176979356,166387807,154671454,142027911,128665597,114765130 Dl.O(d2) = 212162318,216143827,219442390,222228250,224619692,226696037,228505783,226734667,224663878,264861896,216215797,212250002,207395989,201509020,263329392,186347590,176979356,166387807,154671454,142027911,128665597,114765130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469661, s2 = 11367240, dlinesl.size( ) = 2 s1 = 11469661, s2 = 11367240, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11469661, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11469719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10426713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11469847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469847, s2 = 7069666, int(edited[s2]) = 0 s1 = 11469847, s2 = 7069666, d1 = 37, d2 = 60 Dl.O(d1) = 265018643,265413449,226758646 Dl.O(d2) = 273524491,184570982,174967402,263081680,139531947,262153523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469847, s2 = 7069666, dlinesl.size( ) = 28 s1 = 11469873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469873, s2 = 10483486, int(edited[s2]) = 0 s1 = 11469873, s2 = 10483486, d1 = 20, d2 = 18 Dl.O(d1) = 273160670 Dl.O(d2) = 259503620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469873, s2 = 10483486, dlinesl.size( ) = 20 s1 = 10555420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14209154, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11470923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11470923, s2 = 7447629, int(edited[s2]) = 0 s1 = 11470923, s2 = 7447629, d1 = 177, d2 = 114 Dl.O(d1) = 265332002,175403991,175403990,260988184,176344643,165677300,165677299,176344640,185788380,194025668,263025494,176344645,176344644,262248308,141229649,127870626,113992415,261174540 Dl.O(d2) = 266748251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11470923, s2 = 7447629, dlinesl.size( ) = 38 s1 = 11471317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471317, s2 = 11165598, int(edited[s2]) = 0 s1 = 11471317, s2 = 11165598, d1 = 31, d2 = 6 Dl.O(d1) = 263740616,273249922 Dl.O(d2) = 113503423,260312670,99492238,85545357,71957500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471317, s2 = 11165598, dlinesl.size( ) = 32 s1 = 11962898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11471621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471621, s2 = 11456316, int(edited[s2]) = 0 s1 = 11471621, s2 = 11456316, d1 = 13, d2 = 14 Dl.O(d1) = 265046637,274411262,206405406 Dl.O(d2) = 263860631,184843095,175284192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471621, s2 = 11456316, dlinesl.size( ) = 10 s1 = 11456315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456315, s2 = 11471622, int(edited[s2]) = 0 s1 = 11456315, s2 = 11471622, d1 = 17, d2 = 8 Dl.O(d1) = 201989430,207805456,263860630 Dl.O(d2) = 219765845,274411263,265046636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456315, s2 = 11471622, dlinesl.size( ) = 6 s1 = 13794747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11471913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471913, s2 = 13990663, int(edited[s2]) = 0 s1 = 11471913, s2 = 13990663, d1 = 13, d2 = 10 Dl.O(d1) = 264119072,222662356,224999606,227030078,228801414,230094295 Dl.O(d2) = 265233476,207284348,207284347,201373703,263578255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471913, s2 = 13990663, dlinesl.size( ) = 16 s1 = 11471949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471949, s2 = 14189708, int(edited[s2]) = 0 s1 = 11471949, s2 = 14189708, d1 = 17, d2 = 35 Dl.O(d1) = 208072553 Dl.O(d2) = 21474094,15471597,10698339,254502109,2673416,1548638,880416,496763,278499,278498,496755,880397,880461,880462,1548727,2673573,4450282,7068373,10698988,15472405,21227993,15472291,15472290,255838167,15258645,10527299,6942941,4363354,4363356,6942944,10527303,12380612,12380613,12255036,9267015,9264017,9264019,13534122,13525292,9256407,6062279,6062278,9256401,10565193,15300829,21263503,28481216,36978551,255759026,70506802,57805637,268977188,28111582,20934846,15026734,10354547,6818898,6818897,4277429,2557379,2557381,3466265,5587096,8598339,12662668,10307792,6779270,6779268,10307791,14975419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471949, s2 = 14189708, dlinesl.size( ) = 2 s1 = 11471949, s2 = 14189708, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11471949, Dl.E( ) = 54, 2e-05 seconds used appending s1 = 11472067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13795354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13795354, s2 = 10996674, int(edited[s2]) = 0 s1 = 13795354, s2 = 10996674, d1 = 16, d2 = 24 Dl.O(d1) = 219980095,216759171,212872587,208119789,202355720 Dl.O(d2) = 88447016,74814763,62018375,50526640,40491075,40491076,50526642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13795354, s2 = 10996674, dlinesl.size( ) = 2 s1 = 13795354, s2 = 10996674, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13795354, Dl.E( ) = 26, 8.11e-06 seconds used appending s1 = 15139121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11472303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11472303, s2 = 11332176, int(edited[s2]) = 0 s1 = 11472303, s2 = 11332176, d1 = 35, d2 = 26 Dl.O(d1) = 202399625,202399623,202399621 Dl.O(d2) = 262223932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11472303, s2 = 11332176, dlinesl.size( ) = 40 s1 = 4931309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4931309, s2 = 8795632, int(edited[s2]) = 0 s1 = 4931309, s2 = 8795632, d1 = 30, d2 = 11 Dl.O(d1) = 203629748,209145939,213673211,217386160,220480103,220480104,223110309,225381617,225381623 Dl.O(d2) = 225381620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4931309, s2 = 8795632, dlinesl.size( ) = 2 s1 = 4931309, s2 = 8795632, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 4931309, Dl.E( ) = 36, 1.29e-05 seconds used appending s1 = 11472485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5040370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5040370, s2 = 6080539, int(edited[s2]) = 0 s1 = 5040370, s2 = 6080539, d1 = 5, d2 = 13 Dl.O(d1) = 209032943 Dl.O(d2) = 217320764,220428216,223067839,225344580,227322628,265621078,231936917,233162822,234271648,266268058,237032311,237795877,238489830,239125352,239709710,240250136,240750841,241214690,241214691,241644157,242040796,242406371,242745901,242594860,242241964,241860758,241447450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5040370, s2 = 6080539, dlinesl.size( ) = 2 s1 = 5040370, s2 = 6080539, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5040370, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 8796398, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11473041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473041, s2 = 11535090, int(edited[s2]) = 0 s1 = 11473041, s2 = 11535090, d1 = 2, d2 = 9 Dl.O(d1) = 208624704 Dl.O(d2) = 265623437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473041, s2 = 11535090, dlinesl.size( ) = 8 s1 = 11473053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473093, s2 = 11349736, int(edited[s2]) = 0 s1 = 11473093, s2 = 11349736, d1 = 10, d2 = 12 Dl.O(d1) = 202995849 Dl.O(d2) = 262585470,179348056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473093, s2 = 11349736, dlinesl.size( ) = 18 s1 = 3603427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473577, s2 = 11093518, int(edited[s2]) = 0 s1 = 11473577, s2 = 11093518, d1 = 6, d2 = 5 Dl.O(d1) = 264614945,274482048,230574410 Dl.O(d2) = 274521844,265746790,226505690,265028488,219164261,264269314,263607550,113665591,258224900,47997367,47997366,47413076,37505457,255804048,21680020,28962175,37505461,47413082,40392303,31699495,24191278,17822122,16052546,11146072,7392930,7392929,11146069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473577, s2 = 11093518, dlinesl.size( ) = 2 s1 = 11473577, s2 = 11093518, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11473577, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 11473639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473639, s2 = 11364708, int(edited[s2]) = 0 s1 = 11473639, s2 = 11364708, d1 = 4, d2 = 5 Dl.O(d1) = 209033823,207616197 Dl.O(d2) = 262377534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473639, s2 = 11364708, dlinesl.size( ) = 12 s1 = 11963692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4694215, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13809837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473951, s2 = 11613868, int(edited[s2]) = 0 s1 = 11473951, s2 = 11613868, d1 = 3, d2 = 7 Dl.O(d1) = 265085717 Dl.O(d2) = 267023797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473951, s2 = 11613868, dlinesl.size( ) = 20 s1 = 11474033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474113, s2 = 10484687, int(edited[s2]) = 0 s1 = 11474113, s2 = 10484687, d1 = 15, d2 = 26 Dl.O(d1) = 203828120 Dl.O(d2) = 189578791,189578790,197268270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11963838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474247, s2 = 11403414, int(edited[s2]) = 0 s1 = 11474247, s2 = 11403414, d1 = 21, d2 = 26 Dl.O(d1) = 262073100 Dl.O(d2) = 263592180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474247, s2 = 11403414, dlinesl.size( ) = 28 s1 = 11474465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474465, s2 = 11572070, int(edited[s2]) = 0 s1 = 11474465, s2 = 11572070, d1 = 6, d2 = 13 Dl.O(d1) = 264261390 Dl.O(d2) = 265930315,266281051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474465, s2 = 11572070, dlinesl.size( ) = 12 s1 = 11474469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148531, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11474535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474535, s2 = 11242038, int(edited[s2]) = 0 s1 = 11474535, s2 = 11242038, d1 = 30, d2 = 25 Dl.O(d1) = 263100264 Dl.O(d2) = 259925522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474535, s2 = 11242038, dlinesl.size( ) = 34 s1 = 11474629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474629, s2 = 11585610, int(edited[s2]) = 0 s1 = 11474629, s2 = 11585610, d1 = 15, d2 = 19 Dl.O(d1) = 209473708,264877459 Dl.O(d2) = 265643465,265931749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474629, s2 = 11585610, dlinesl.size( ) = 14 s1 = 11474745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474745, s2 = 15007472, int(edited[s2]) = 0 s1 = 11474745, s2 = 15007472, d1 = 26, d2 = 33 Dl.O(d1) = 265299107,219666904,219666903 Dl.O(d2) = 230213371,265888850,228637817,266018583,265888850,228637817,274345006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474745, s2 = 15007472, dlinesl.size( ) = 34 s1 = 15139415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10925748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474971, s2 = 11171338, int(edited[s2]) = 0 s1 = 11474971, s2 = 11171338, d1 = 8, d2 = 6 Dl.O(d1) = 263052774 Dl.O(d2) = 260463832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474971, s2 = 11171338, dlinesl.size( ) = 8 s1 = 11475227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475227, s2 = 11132882, int(edited[s2]) = 0 s1 = 11475227, s2 = 11132882, d1 = 10, d2 = 12 Dl.O(d1) = 263370744 Dl.O(d2) = 261474002,134804538,134804537,262006282,259698706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475227, s2 = 11132882, dlinesl.size( ) = 14 s1 = 13885771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11475271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475271, s2 = 15157436, int(edited[s2]) = 0 s1 = 11475271, s2 = 15157436, d1 = 5, d2 = 4 Dl.O(d1) = 263062606 Dl.O(d2) = 225618564,265155128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475271, s2 = 15157436, dlinesl.size( ) = 12 s1 = 11475339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475339, s2 = 11319798, int(edited[s2]) = 0 s1 = 11475339, s2 = 11319798, d1 = 18, d2 = 9 Dl.O(d1) = 263744555,262961709 Dl.O(d2) = 260318231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475339, s2 = 11319798, dlinesl.size( ) = 2 s1 = 11475339, s2 = 11319798, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11475339, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 11475569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475569, s2 = 11573952, int(edited[s2]) = 0 s1 = 11475569, s2 = 11573952, d1 = 6, d2 = 11 Dl.O(d1) = 265313001 Dl.O(d2) = 229302794,274540425,229302793,266067827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475569, s2 = 11573952, dlinesl.size( ) = 2 s1 = 11475569, s2 = 11573952, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11475569, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11475583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475583, s2 = 11331950, int(edited[s2]) = 0 s1 = 11475583, s2 = 11331950, d1 = 18, d2 = 20 Dl.O(d1) = 204921135 Dl.O(d2) = 148886889,262034777,161201974,148886890,148886887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475583, s2 = 11331950, dlinesl.size( ) = 24 s1 = 13799010, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13799175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11475805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13799566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13799566, s2 = 14124667, int(edited[s2]) = 0 s1 = 13799566, s2 = 14124667, d1 = 7, d2 = 13 Dl.O(d1) = 205308968,264912901,205308962,205308963,206865101,274165937 Dl.O(d2) = 199042929,199042930,205308966,210497127,265129057,265083214,274038524,199042932,191635891,183022584,183022583,191635889,199042930,205308967,210497128,264912903,210497130,205308969,199042932,191635891,183022584,262912812,261951262,136708870,261532767,149851750,262451484,261532765,136708866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13799566, s2 = 14124667, dlinesl.size( ) = 10 s1 = 11476437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476437, s2 = 11493640, int(edited[s2]) = 0 s1 = 11476437, s2 = 11493640, d1 = 22, d2 = 0 Dl.O(d1) = 264677751,218267821 Dl.O(d2) = 216034440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476437, s2 = 11493640, dlinesl.size( ) = 24 s1 = 11964688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11964688, s2 = 8435548, int(edited[s2]) = 0 s1 = 11964688, s2 = 8435548, d1 = 16, d2 = 7 Dl.O(d1) = 205468686,264417779,214848648,210631016,205468694,199228588,199228582,191853313,183278136,173470770 Dl.O(d2) = 263428816,162427953,150291925,260984172,109330053,95075597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11964688, s2 = 8435548, dlinesl.size( ) = 2 s1 = 11964688, s2 = 8435548, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11964688, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 13800006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11476803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476803, s2 = 10620568, int(edited[s2]) = 0 s1 = 11476803, s2 = 10620568, d1 = 33, d2 = 35 Dl.O(d1) = 263599040,162526786 Dl.O(d2) = 273731161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476803, s2 = 10620568, dlinesl.size( ) = 42 s1 = 11476901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476901, s2 = 11217238, int(edited[s2]) = 0 s1 = 11476901, s2 = 11217238, d1 = 14, d2 = 10 Dl.O(d1) = 263185058 Dl.O(d2) = 259422962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476901, s2 = 11217238, dlinesl.size( ) = 20 s1 = 5354593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5354593, s2 = 8788119, int(edited[s2]) = 0 s1 = 5354593, s2 = 8788119, d1 = 11, d2 = 23 Dl.O(d1) = 221826640 Dl.O(d2) = 215616887,211542566,206555742,263034526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5354593, s2 = 8788119, dlinesl.size( ) = 2 s1 = 5354593, s2 = 8788119, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5354593, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 11477233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11477305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477305, s2 = 14164969, int(edited[s2]) = 0 s1 = 11477305, s2 = 14164969, d1 = 125, d2 = 155 Dl.O(d1) = 205638214,199416818,199416819,205638217,205638222,210784992,214989173,214989172 Dl.O(d2) = 24433836,18020464,18020466,24433839,31988970,35411280,31988976,24433846,24433847,31988962,31988963,40737828,47800400,47800399,55737304,44829649,35404089,27278033,27278032,35404085,44829646,55737303,55737289,44829636,35404079,35404078,44829634,256549108,257680708,48048080,38134577,29568379,22221940,16089333,16089334,22221942,29568381,38134582,48048086,58293671,58293670,47261625,37352092,28813357,21545290,21545289,257457365,71388501,72187086,59449020,59449018,58653402,48057633,38144483,29578256,22230671,22230672,28813353,28813352,37352084,47261608,58653393,71388478,58653401,58653400,257850670,64753499,52834277,42430533,42430534,52834280,48732067,48732066,60126581,72863307,86458822,100415800,112091870,120270425,121972763,121972764,128815669,126212659,112352671,270802723,70904738,58192006,58192007,70904740,76664403,76664404,90526567,89804658,76027897,63045207,51364249,51364248,63045204,76027893,71285989,269316199,37259231,255837931,21470301,256329559,47165055,58553990,257629918,58554023,71286043,71285946,58553957,58553956,71285944,84860485,84860487,269863864,58553946,51793011,255996812,37259200,28727313,28727312,37259198,47164983,37259251,28727353,256870653,58554017,71286037,84860554,98788921,98788894,84860531,270812717,85829027,84860535,71286005,71286004,259261196,71285954,71285953,259312653,107350236,100654490,86681852,73077407,60337167,60337166,73077404,86681846,100654482,114699593,128596293,133602800,145273250,145273251,132035479,118215155,104055570,104055571,118215156,104055588,89925924,89925923,104055587,118215177,132035487,129866555,115969237,101925039,101925038,101925041,87952431,74350232,61573410,50093615,50093616,269874579,84573625,84573626,90807756,260246149,105443440,98496487,84573634,71009815,58294867,58294866,71009813,84573627,77339181,64192138,52342056,42003091,33059508,25330385,18750531,13349268,13349267,18750504,254949186,9354577,6127346,3833638,2296872,2296875,3833622,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296914,3833704,6127354,9354590,13660650,19131888,25771954,33561338,42578008,53016995,53058264,53058265,65040992,64993273,269095541,33561332,42578003,53018157,64993272,78266864,86218002,72619555,59881145,48489641,48489640,59881143,72619553,86217998,100181590,100181696,86218112,72619666,72619667,72619568,59881154,59881155,72619570,86218023,100181604,114213653,114213652,100181600,86218021,86218020,100181599,98353843,98353844,92501000,78460718,78460717,92500999,79110909,65754517,53697039,53697038,65176460,71564212,71564192,71564191,65176456,53190902,53190903,58837018,47450931,37542979,28997564,28997563,37542978,47450930,37542999,28997586,21712750,21712749,256348993,257471095,71564225,78460723,78460714,65176453,53190898,42741363,33711700,33711701,42741367,42741383,37542983,33711717,25905295,25905268,25905267,19244325,13750104,9421417,6173142,3862695,2313918,2313919,3862696,4517598,2715247,2715246,4517597,7171849,10848251,15670193,21712720,19244331,19244330,22581317,16398861,11415320,7586380,4895444,2950251,1710986,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1711525,2951183,254548677,7597419,7597420,11428676,11436166,8730293,5683677,3535593,2104444,254287823,5683679,8730299,12838341,18105785,24539486,32117071,40890960,36511706,28047585,28047586,36511708,46370622,52017538,258375759,70416000,57720953,57720954,70416001,70415969,57720918,57720917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477305, s2 = 14164969, dlinesl.size( ) = 18 s1 = 14209471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11463858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11477627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477627, s2 = 11231338, int(edited[s2]) = 0 s1 = 11477627, s2 = 11231338, d1 = 86, d2 = 82 Dl.O(d1) = 262948212 Dl.O(d2) = 260296086 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477675, s2 = 14087742, int(edited[s2]) = 0 s1 = 11477675, s2 = 14087742, d1 = 10, d2 = 6 Dl.O(d1) = 205880449,199714479 Dl.O(d2) = 259806380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477675, s2 = 14087742, dlinesl.size( ) = 2 s1 = 11477675, s2 = 14087742, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11477675, Dl.E( ) = 20, 8.82e-06 seconds used appending s1 = 11477697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477697, s2 = 14022538, int(edited[s2]) = 0 s1 = 11477697, s2 = 14022538, d1 = 0, d2 = 0 Dl.O(d1) = 205883189,199717486,199717485,205883187,263669072,262869082,261362630,151569189,151569190,163451894,174299540,261901512,199717522,205883233,273763696,264594710,218582255,218582229,263669070,210982687,210982733,210982722,210982721,262403916,203134241,205883183,199717476,199717475,205883181,208747741,213360611,215150125,210982737,210982734,210982706,205883213,263866648,215150116,218582246,264594706,264012180,205883192,205883224,199717514,199717493,196436903,188615557,179591753,169345733,157924487,145525092,132288823,118461115,104289908,90149492,76330459,63306000,51586933,41364866,32517471,24875014,18377403,13051783,8891324,5800057,3617361,2160137,2160136,1282837,733152,733146,1250106,1250110,1282889,1283526,1283525,1281706,1281703,1737149,2992205,4956466,7813614,11704443,16750373,22988603,30391839,38978820,48899663,60293829 Dl.O(d2) = 205883189,199717486,199717485,205883187,263669072,262869082,261362630,151569189,151569190,163451894,174299540,261901512,199717522,205883233,273763696,264594710,218582255,218582229,263669070,210982687,210982733,210982722,210982721,262403916,203134241,205883183,199717476,199717475,205883181,208747741,213360611,215150125,210982737,210982734,210982706,205883213,263866648,215150116,218582246,264594706,264012180,205883192,205883224,199717514,199717493,196436903,188615557,179591753,169345733,157924487,145525092,132288823,118461115,104289908,90149492,76330459,63306000,51586933,41364866,32517471,24875014,18377403,13051783,8891324,5800057,3617361,2160137,2160136,1282837,733152,733146,1250106,1250110,1282889,1283526,1283525,1281706,1281703,1737149,2992205,4956466,7813614,11704443,16750373,22988603,30391839,38978820,48899663,60293829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477697, s2 = 14022538, dlinesl.size( ) = 2 s1 = 11477697, s2 = 14022538, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11477697, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14022537, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11477919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477919, s2 = 11259900, int(edited[s2]) = 0 s1 = 11477919, s2 = 11259900, d1 = 15, d2 = 7 Dl.O(d1) = 205962395 Dl.O(d2) = 163586990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477919, s2 = 11259900, dlinesl.size( ) = 20 s1 = 11477951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477951, s2 = 11212354, int(edited[s2]) = 0 s1 = 11477951, s2 = 11212354, d1 = 23, d2 = 29 Dl.O(d1) = 264708737 Dl.O(d2) = 264203338,271326184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477951, s2 = 11212354, dlinesl.size( ) = 42 s1 = 11478161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478161, s2 = 11083538, int(edited[s2]) = 0 s1 = 11478161, s2 = 11083538, d1 = 10, d2 = 4 Dl.O(d1) = 263877880 Dl.O(d2) = 259959726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478161, s2 = 11083538, dlinesl.size( ) = 14 s1 = 11478201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478201, s2 = 11293084, int(edited[s2]) = 0 s1 = 11478201, s2 = 11293084, d1 = 7, d2 = 7 Dl.O(d1) = 263838233,184325619,174707281,262631059,139319868,125967917,112131380,98169644,84274410,70722774,58007181,46632105,36744475,268605239,21048447,255804479,36744473,46632104,58007180,70722772,259891187 Dl.O(d2) = 263838233,184325619,174707281,262631059,139319868,125967917,112131380,98169644,84274410,70722774,58007181,46632105,36744475,268605239,21048447,255804479,36744473,46632104,58007180,70722772,259891187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478201, s2 = 11293084, dlinesl.size( ) = 2 s1 = 11478201, s2 = 11293084, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11478201, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11478277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478277, s2 = 14209521, int(edited[s2]) = 0 s1 = 11478277, s2 = 14209521, d1 = 0, d2 = 0 Dl.O(d1) = 272724900,218717574,221584327,224045400,226179857,226929450,224886172,222533057,219793576,216547904,212633947,207845047,202035466,195126789,187049693,177776298,167282703,155651858,143101152,129771216,115872087,101825553 Dl.O(d2) = 272724900,218717574,221584327,224045400,226179857,226929450,224886172,222533057,219793576,216547904,212633947,207845047,202035466,195126789,187049693,177776298,167282703,155651858,143101152,129771216,115872087,101825553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478277, s2 = 14209521, dlinesl.size( ) = 2 s1 = 11478277, s2 = 14209521, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11478277, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14209522, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11478425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11478465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478465, s2 = 11553824, int(edited[s2]) = 0 s1 = 11478465, s2 = 11553824, d1 = 12, d2 = 3 Dl.O(d1) = 264718185,218755831,221618776 Dl.O(d2) = 231140189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478465, s2 = 11553824, dlinesl.size( ) = 18 s1 = 11478605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478605, s2 = 11534034, int(edited[s2]) = 0 s1 = 11478605, s2 = 11534034, d1 = 0, d2 = 9 Dl.O(d1) = 211293323 Dl.O(d2) = 221644419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478605, s2 = 11534034, dlinesl.size( ) = 14 s1 = 11478741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478741, s2 = 11455256, int(edited[s2]) = 0 s1 = 11478741, s2 = 11455256, d1 = 11, d2 = 2 Dl.O(d1) = 273372534 Dl.O(d2) = 137643681,260670510,263811101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478741, s2 = 11455256, dlinesl.size( ) = 8 s1 = 11478791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478791, s2 = 9461621, int(edited[s2]) = 0 s1 = 11478791, s2 = 9461621, d1 = 44, d2 = 123 Dl.O(d1) = 211328855 Dl.O(d2) = 84048129,97918787,258442084,74629958,74629957,61837961,61837962,74629962,260145371,261047811,97751330,97751328,260468257,261010700,97751441,97751440,259247757,70369919,57678143,46331396,36475897,256808891,57678112,46331374,36475870,36475869,46331372,57678111,57678030,57678031,70369755,83894343,259866631,111670162,97751320,97751321,97751308,83894442,70369843,258621665,259866645,259866637,83894379,70369786,269294237,36475824,36475823,46331312,57678052,70369780,83894373,97751247,111670110,259247769,70369981,270271911,258621651,259247735,83894332,83894333,259866627,111670157,97751311,97751310,111670155,262123491,260468271,97751435,258621681,57678188,257997533,83894522,70369929,70369930,83894524,97751394,97751477,111670276,111670050,97751163,83894302,70369719,70369718,83894294,83894519,257997531,256808887,257387019,70369870,83894465,260468259,97751228,97751229,97751422,111670143,97751292,83894427,70369830,70369829,70369848,57678090,46331358,36475860,28015270,20849525,14949294,10283525,6759108,6759109,10283528,14949298,20849508,20849553,20849554,28015319,36475913,46331414,57678170,70369954,70369950,70369949,70369727,70369726,57678129,57678130,70369878,57678117,257997527,83894471,259866635,125471537,111670266,97751468,83894611,83894610,97751470,111670184,97751358,83894488,83894487,83894462,70369867,258621671,259866647,97751414,258621679,57678174,70369959,83894551,260468267,97751443,258621683,57678197,46331441,36475932,256808895,57678200,258621685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478791, s2 = 9461621, dlinesl.size( ) = 14 s1 = 11478873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5179426, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5179426, s2 = 6547067, int(edited[s2]) = 0 s1 = 5179426, s2 = 6547067, d1 = 43, d2 = 41 Dl.O(d1) = 221680957,218821561,215436349,211340241,206328224,206328225,264725461,218821564,265539309,228118555,229744907,229744908 Dl.O(d2) = 37080652,255828235,15372153,10621919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5179426, s2 = 6547067, dlinesl.size( ) = 2 s1 = 5179426, s2 = 6547067, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5179426, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 15211258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11478989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478989, s2 = 11209910, int(edited[s2]) = 0 s1 = 11478989, s2 = 11209910, d1 = 7, d2 = 15 Dl.O(d1) = 263855835,184768145 Dl.O(d2) = 152551479,139837439,261252376,270289899,28621958,37134378,34168769,26300710,19577488,14024811,14024812,19577489,26300711,255894328,17563701,13943408,13943407,11535220,11535221,16549781,21479572,256871617,258062213,84869847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478989, s2 = 11209910, dlinesl.size( ) = 14 s1 = 11479163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479163, s2 = 11210746, int(edited[s2]) = 0 s1 = 11479163, s2 = 11210746, d1 = 23, d2 = 0 Dl.O(d1) = 206394912,200341030,263531680 Dl.O(d2) = 71204258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479163, s2 = 11210746, dlinesl.size( ) = 28 s1 = 11479227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479227, s2 = 11493812, int(edited[s2]) = 0 s1 = 11479227, s2 = 11493812, d1 = 13, d2 = 6 Dl.O(d1) = 264284012,215502067,211410548,211410549,215502070,264563384,265040260,228158417,229781514,231222364,265895856,266495499 Dl.O(d2) = 274468810,274262391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479227, s2 = 11493812, dlinesl.size( ) = 8 s1 = 11479365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11965648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11479403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479403, s2 = 10710684, int(edited[s2]) = 0 s1 = 11479403, s2 = 10710684, d1 = 0, d2 = 4 Dl.O(d1) = 211443440 Dl.O(d2) = 232152818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479403, s2 = 10710684, dlinesl.size( ) = 8 s1 = 11479563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479563, s2 = 11290990, int(edited[s2]) = 0 s1 = 11479563, s2 = 11290990, d1 = 10, d2 = 8 Dl.O(d1) = 262918226 Dl.O(d2) = 260852874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479563, s2 = 11290990, dlinesl.size( ) = 12 s1 = 11479621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479621, s2 = 11248148, int(edited[s2]) = 0 s1 = 11479621, s2 = 11248148, d1 = 24, d2 = 30 Dl.O(d1) = 264755237,264212787,273862750,262227559 Dl.O(d2) = 258120327,48012281,258119686,11155903,7399475,4674444,2816142,1633766,1633121,928730,523471,254123589,254235623,4672433,2911121,1688782,960390,960392,1688790,2911136,4831203,7398315,11153965,11152453,7397177,7397176,11152450,16061585,22189148,29532014,269337165,48011238,38100618,38100619,36825194,28329616,21118952,21118951,28329614,36825188,46707225,48004278,38092828,255891421,16059658,11151120,11151121,11154166,7398439,4673897,2815844,1633612,1633613,2815847,4673904,7398453,11154201,11154778,7631057,7631056,4828024,4674060,4674059,6903637,10470725,11780411,11780410,16845233,23101965,30048037,22672657,22672658,30048038,255843516,38619578,38100079,29536332,29536331,38099276,30707996,30048247,30048246,268639814,22193089,16064771,16064772,22193091,29536317,38100068,38619513,30518178,30029447,29534917,29534916,38098939,29535399,22192170,22192171,22672579,16476392,11479851,11479850,11480388,16475875,11479513,256970247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479621, s2 = 11248148, dlinesl.size( ) = 32 s1 = 11965774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11479765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479765, s2 = 14066008, int(edited[s2]) = 0 s1 = 11479765, s2 = 14066008, d1 = 21, d2 = 19 Dl.O(d1) = 262675224,185043125,175503827,164751739,164751740,175503828 Dl.O(d2) = 193373060,185043128,185043129,193373062,262675226,193373059,193373058,185043126,175503839,175503831,164751741,164751742,152921074,140230694,140230695,152921077,164751746,175503834,263116172,193373058,193373057,200521339,206556655,211543461,273534438,200521337,200521335,200521341,200521342,193373067,185043134,185043133,262675226,193373059,193373058,193373057,200521339,206556655,211543461,273534438,200521337,263116170,193373065,185043131,175503832,164751743,164751742,152921074,140230694,261676467,152921081,140230698,140230699,152921080,152921079,164751750,164751743,164751742,152921074,140230694,261676467,152921081,140230698,126882761,113029908,99041562,99041563,113029910,126882764,128250638,258079750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479765, s2 = 14066008, dlinesl.size( ) = 14 s1 = 15672821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11479981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479981, s2 = 11570790, int(edited[s2]) = 0 s1 = 11479981, s2 = 11570790, d1 = 5, d2 = 27 Dl.O(d1) = 211633928 Dl.O(d2) = 266324885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479981, s2 = 11570790, dlinesl.size( ) = 20 s1 = 11480085, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11480211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480211, s2 = 11549660, int(edited[s2]) = 0 s1 = 11480211, s2 = 11549660, d1 = 9, d2 = 9 Dl.O(d1) = 211676608,212884280,212884279,216769858,219990043,222707573,225041312,227067797,228836088,266035201,265986697 Dl.O(d2) = 211676608,212884280,212884279,216769858,219990043,222707573,225041312,227067797,228836088,266035201,265986697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480211, s2 = 11549660, dlinesl.size( ) = 2 s1 = 11480211, s2 = 11549660, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11480211, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11480233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480233, s2 = 11528882, int(edited[s2]) = 0 s1 = 11480233, s2 = 11528882, d1 = 17, d2 = 4 Dl.O(d1) = 265554497,265989303 Dl.O(d2) = 266187702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480233, s2 = 11528882, dlinesl.size( ) = 18 s1 = 5286048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11480379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480379, s2 = 12262798, int(edited[s2]) = 0 s1 = 11480379, s2 = 12262798, d1 = 2, d2 = 28 Dl.O(d1) = 211720372,215765620 Dl.O(d2) = 12435073,12691800,8621903,8621902,12691795,10938776,10938774,7902989,7902988,6782705,4251816,4251818,5409739,8383068,7679859,7679861,11543499,11678812,16560721,22776001,17412855,12271661,12271660,17412852 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480379, s2 = 12262798, dlinesl.size( ) = 24 s1 = 11480479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480479, s2 = 11397530, int(edited[s2]) = 0 s1 = 11480479, s2 = 11397530, d1 = 6, d2 = 8 Dl.O(d1) = 264711734 Dl.O(d2) = 263497358,184827670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480479, s2 = 11397530, dlinesl.size( ) = 8 s1 = 11480543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480543, s2 = 11412942, int(edited[s2]) = 0 s1 = 11480543, s2 = 11412942, d1 = 8, d2 = 16 Dl.O(d1) = 206808092 Dl.O(d2) = 273493914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480543, s2 = 11412942, dlinesl.size( ) = 14 s1 = 11480591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11480629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480629, s2 = 11418986, int(edited[s2]) = 0 s1 = 11480629, s2 = 11418986, d1 = 58, d2 = 81 Dl.O(d1) = 264209818 Dl.O(d2) = 176013940,165320061,262222700,38024736,258759807 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418985, s2 = 11480630, int(edited[s2]) = 0 s1 = 11418985, s2 = 11480630, d1 = 1, d2 = 11 Dl.O(d1) = 185469906 Dl.O(d2) = 264209819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418985, s2 = 11480630, dlinesl.size( ) = 12 s1 = 14209634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11480991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480991, s2 = 14285837, int(edited[s2]) = 0 s1 = 11480991, s2 = 14285837, d1 = 4, d2 = 16 Dl.O(d1) = 206909385,206909379,200937809,200937810 Dl.O(d2) = 219205318,219205316,215872107,211842269,206909383,206909384,211842270,215872108,219205317,222018740,222018747,219205323,219205322,222018732,219205309,215872098,211842263,211842261,264799092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480991, s2 = 14285837, dlinesl.size( ) = 2 s1 = 11480991, s2 = 14285837, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11480991, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 11481087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481087, s2 = 11366908, int(edited[s2]) = 0 s1 = 11481087, s2 = 11366908, d1 = 10, d2 = 8 Dl.O(d1) = 206949141 Dl.O(d2) = 200986934,264220597,200986939,264220603,264613968,262907608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481087, s2 = 11366908, dlinesl.size( ) = 18 s1 = 11481285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9591758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11481781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481781, s2 = 11448160, int(edited[s2]) = 0 s1 = 11481781, s2 = 11448160, d1 = 9, d2 = 0 Dl.O(d1) = 207188998 Dl.O(d2) = 186021327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481781, s2 = 11448160, dlinesl.size( ) = 14 s1 = 13805172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11481829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481829, s2 = 11368630, int(edited[s2]) = 0 s1 = 11481829, s2 = 11368630, d1 = 6, d2 = 18 Dl.O(d1) = 207685138 Dl.O(d2) = 272595463,129472072,261268629,259482229,61208751,61208752,270375331,260694743,129472070,261812531,273236892,115586836,271543116,73987762,271039472,256497729,23552753,23552752,255994017,255994015,39711614,258858197,271039472,257626811,73987747,61208744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481829, s2 = 11368630, dlinesl.size( ) = 22 s1 = 11481883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481883, s2 = 11557370, int(edited[s2]) = 0 s1 = 11481883, s2 = 11557370, d1 = 7, d2 = 13 Dl.O(d1) = 265401961 Dl.O(d2) = 266236859,233890393,266060696,231477276,230062432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481883, s2 = 11557370, dlinesl.size( ) = 8 s1 = 11481919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481919, s2 = 11151458, int(edited[s2]) = 0 s1 = 11481919, s2 = 11151458, d1 = 1, d2 = 3 Dl.O(d1) = 207228069 Dl.O(d2) = 166015368,259430968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481919, s2 = 11151458, dlinesl.size( ) = 2 s1 = 11481919, s2 = 11151458, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11481919, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11482243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482243, s2 = 11525206, int(edited[s2]) = 0 s1 = 11482243, s2 = 11525206, d1 = 1, d2 = 20 Dl.O(d1) = 212170844 Dl.O(d2) = 226699656,228509277,230099631,230099625,265593366,224623633,222232814,222232815,224623636,226699656,228509276,228509270,265878553,274474526,226699655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482259, s2 = 11119298, int(edited[s2]) = 0 s1 = 11482259, s2 = 11119298, d1 = 5, d2 = 9 Dl.O(d1) = 262758984 Dl.O(d2) = 257577010,256452500,255508318,255952520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482259, s2 = 11119298, dlinesl.size( ) = 8 s1 = 11469438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11482483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482483, s2 = 3714825, int(edited[s2]) = 0 s1 = 11482483, s2 = 3714825, d1 = 12, d2 = 0 Dl.O(d1) = 207366069 Dl.O(d2) = 128603247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482483, s2 = 3714825, dlinesl.size( ) = 2 s1 = 11482483, s2 = 3714825, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11482483, Dl.E( ) = 32, 1.29e-05 seconds used appending s1 = 11482591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482591, s2 = 11448378, int(edited[s2]) = 0 s1 = 11482591, s2 = 11448378, d1 = 2, d2 = 56 Dl.O(d1) = 212250679 Dl.O(d2) = 264694060,203107565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482591, s2 = 11448378, dlinesl.size( ) = 58 s1 = 11482603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482603, s2 = 10498713, int(edited[s2]) = 0 s1 = 11482603, s2 = 10498713, d1 = 0, d2 = 9 Dl.O(d1) = 212258981 Dl.O(d2) = 224669285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482603, s2 = 10498713, dlinesl.size( ) = 16 s1 = 11482867, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15001299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15001299, s2 = 1905142, int(edited[s2]) = 0 s1 = 15001299, s2 = 1905142, d1 = 121, d2 = 108 Dl.O(d1) = 259505407,61504496,259505405,261289687,261244811,262775857,263596487,201631072,207502952,265021539,216572362,212662063,207878371,202073594,263946826,265040361,222550959,222550958 Dl.O(d2) = 258207153,39276343,30679449,23262865,16999495,16999494,255972895,39276337,49202945,258207157,49202960,39276350,30679454,23262868,23262867,30679451,39276345,269370243,73348992,73348991,73349091,86960695,86960668,73349021,73349020,86960662,86960652,86960651,86960706,73349047,73349048,86960711,100944559,260669911,114998727,114998691,100944515,86960645,73349002,60603847,60603848,257018821,30679472,39276369,49202985,258207153,39276343,30679449,30679448,39276339,49202948,60603801,60603865,73349077,269842891,49202947,49202945,258207157,49202960,39276350,30679454,23262868,16999497,11913366,7969193,254378405,1793377,1022996,1022997,1793379,1800240,1800239,3072162,1791695,1791696,1569922,1023547,1020285,1020286,1789286,1793499,3074396,5070941,5072113,3075282,1794157,1794156,3075279,3314862,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,104023,57196,57193,104006,190454,347317,625027,1113759,254594593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15001299, s2 = 1905142, dlinesl.size( ) = 62 s1 = 11483031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11483031, s2 = 11353884, int(edited[s2]) = 0 s1 = 11483031, s2 = 11353884, d1 = 6, d2 = 29 Dl.O(d1) = 207533227 Dl.O(d2) = 177264050,166707095,166707096,261793051,128983993,260073121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11483031, s2 = 11353884, dlinesl.size( ) = 12 s1 = 11483223, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13830403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13830403, s2 = 11500526, int(edited[s2]) = 0 s1 = 13830403, s2 = 11500526, d1 = 31, d2 = 0 Dl.O(d1) = 207629590,212447544,265027269 Dl.O(d2) = 213239111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13830403, s2 = 11500526, dlinesl.size( ) = 34 s1 = 11483317, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11483569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11452857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11483711, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11483757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11483757, s2 = 14035332, int(edited[s2]) = 0 s1 = 11483757, s2 = 14035332, d1 = 4, d2 = 13 Dl.O(d1) = 263472520 Dl.O(d2) = 189968476,181104906,170999639,261065546,258014284,256286570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11483757, s2 = 14035332, dlinesl.size( ) = 6 s1 = 14035331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14035331, s2 = 11483758, int(edited[s2]) = 0 s1 = 14035331, s2 = 11483758, d1 = 12, d2 = 8 Dl.O(d1) = 256286571,258014285,261065547,151760583 Dl.O(d2) = 263472521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14035331, s2 = 11483758, dlinesl.size( ) = 20 s1 = 13832271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484107, s2 = 11161322, int(edited[s2]) = 0 s1 = 11484107, s2 = 11161322, d1 = 11, d2 = 12 Dl.O(d1) = 262437958,187146925 Dl.O(d2) = 259618706,257750976,256609428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484107, s2 = 11161322, dlinesl.size( ) = 14 s1 = 14083297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484161, s2 = 11072148, int(edited[s2]) = 0 s1 = 11484161, s2 = 11072148, d1 = 2, d2 = 7 Dl.O(d1) = 271995916 Dl.O(d2) = 261447094,115981059,269510558,50105232,257656439,50105232,40084633,256136050,255267186,5407139,5407140,8377638,8377637,12396472,17568034,16084061,12375153,8362467,8362470,12375158,15305119,11968505,11968503,8012007,8012005,11968532,12259076,8279184,8279185,9237680,9237678,9237716,13501954,18937732,23981151,17634343,17634344,20287686,17413444,12409726,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366799,8608424,5594086,3470633,2058178,2058180,3470639,5594093,8608432,8621795,5605551,5605549,258297643,259545305,116566877,130406463,130406462,130406461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484161, s2 = 11072148, dlinesl.size( ) = 8 s1 = 11484237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484237, s2 = 10592684, int(edited[s2]) = 0 s1 = 11484237, s2 = 10592684, d1 = 1, d2 = 80 Dl.O(d1) = 212718855 Dl.O(d2) = 228766586,228766587,228766585,226991027,226991026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11484417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484417, s2 = 11406468, int(edited[s2]) = 0 s1 = 11484417, s2 = 11406468, d1 = 4, d2 = 10 Dl.O(d1) = 207984292 Dl.O(d2) = 207984295,202197767,195315254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484417, s2 = 11406468, dlinesl.size( ) = 8 s1 = 11484455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484455, s2 = 11427848, int(edited[s2]) = 0 s1 = 11484455, s2 = 11427848, d1 = 5, d2 = 7 Dl.O(d1) = 212765001 Dl.O(d2) = 217110452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484455, s2 = 11427848, dlinesl.size( ) = 14 s1 = 11484513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8776560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485015, s2 = 14291123, int(edited[s2]) = 0 s1 = 11485015, s2 = 14291123, d1 = 2, d2 = 0 Dl.O(d1) = 263655222 Dl.O(d2) = 143871358,260764731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485015, s2 = 14291123, dlinesl.size( ) = 2 s1 = 11485015, s2 = 14291123, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11485015, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 13816488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13808732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485477, s2 = 11448840, int(edited[s2]) = 0 s1 = 11485477, s2 = 11448840, d1 = 66, d2 = 83 Dl.O(d1) = 263867012 Dl.O(d2) = 261755997,128241759,114363944,114363945,100338945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485477, s2 = 11448840, dlinesl.size( ) = 34 s1 = 11485503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485503, s2 = 11096674, int(edited[s2]) = 0 s1 = 11485503, s2 = 11096674, d1 = 17, d2 = 24 Dl.O(d1) = 264845037,220163687,265621664 Dl.O(d2) = 272949995,260801564,103725089,258335772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485503, s2 = 11096674, dlinesl.size( ) = 20 s1 = 14209851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11967866, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11485883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485883, s2 = 11496620, int(edited[s2]) = 0 s1 = 11485883, s2 = 11496620, d1 = 11, d2 = 1 Dl.O(d1) = 274225003 Dl.O(d2) = 219995837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485883, s2 = 11496620, dlinesl.size( ) = 14 s1 = 11485905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11486135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486135, s2 = 14111994, int(edited[s2]) = 0 s1 = 11486135, s2 = 14111994, d1 = 11, d2 = 17 Dl.O(d1) = 274228935 Dl.O(d2) = 230575774,229839926,228222663,274415706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486135, s2 = 14111994, dlinesl.size( ) = 20 s1 = 11486279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486279, s2 = 11526704, int(edited[s2]) = 0 s1 = 11486279, s2 = 11526704, d1 = 47, d2 = 62 Dl.O(d1) = 263745002 Dl.O(d2) = 233101630,231867166,266367704,227208223,225208897,222908962,265457575,227208219,228954490,230495697,231867164,266044303,266044301,230495695,230495694,274610785,265776497,225208897,222908962,220239234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486279, s2 = 11526704, dlinesl.size( ) = 14 s1 = 11486361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11486431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486431, s2 = 14114602, int(edited[s2]) = 0 s1 = 11486431, s2 = 14114602, d1 = 25, d2 = 45 Dl.O(d1) = 209256102,203776200,264619597 Dl.O(d2) = 133500397,119628476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486431, s2 = 14114602, dlinesl.size( ) = 34 s1 = 14013203, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13810122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11487167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487167, s2 = 11570252, int(edited[s2]) = 0 s1 = 11487167, s2 = 11570252, d1 = 9, d2 = 13 Dl.O(d1) = 264879027 Dl.O(d2) = 265644509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487167, s2 = 11570252, dlinesl.size( ) = 14 s1 = 11487227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11487271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487271, s2 = 5719766, int(edited[s2]) = 0 s1 = 11487271, s2 = 5719766, d1 = 0, d2 = 39 Dl.O(d1) = 213973137 Dl.O(d2) = 232594091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487271, s2 = 5719766, dlinesl.size( ) = 84 s1 = 11487569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487569, s2 = 11198526, int(edited[s2]) = 0 s1 = 11487569, s2 = 11198526, d1 = 32, d2 = 30 Dl.O(d1) = 264370462,204212044,264070310,197727043,190116354,262491028,160028493 Dl.O(d2) = 264640670,264640668,204212046,263362480,273241468,190116356,181301520,261994012,147764710,261994014,181301510,181301509,262491032,147764711,134634038,120836953,259055506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487569, s2 = 11198526, dlinesl.size( ) = 2 s1 = 11487569, s2 = 11198526, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11487569, Dl.E( ) = 34, 1.81e-05 seconds used appending s1 = 11487611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16149223, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11487665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13605791, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11487805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11487807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487807, s2 = 11451796, int(edited[s2]) = 0 s1 = 11487807, s2 = 11451796, d1 = 5, d2 = 18 Dl.O(d1) = 214138588 Dl.O(d2) = 264487854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487807, s2 = 11451796, dlinesl.size( ) = 22 s1 = 4946820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4946820, s2 = 5779780, int(edited[s2]) = 0 s1 = 4946820, s2 = 5779780, d1 = 1, d2 = 26 Dl.O(d1) = 204504197,204504198 Dl.O(d2) = 239033972,238393325,237690614,236916810,236066594,235131910,234103889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4946820, s2 = 5779780, dlinesl.size( ) = 12 s1 = 14762423, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14757454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11488753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488753, s2 = 11340664, int(edited[s2]) = 0 s1 = 11488753, s2 = 11340664, d1 = 7, d2 = 9 Dl.O(d1) = 273753012 Dl.O(d2) = 262369718,136756412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11488753, s2 = 11340664, dlinesl.size( ) = 12 s1 = 11488759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488759, s2 = 10750608, int(edited[s2]) = 0 s1 = 11488759, s2 = 10750608, d1 = 0, d2 = 0 Dl.O(d1) = 210523511,263913416,199076961,191674125,183065533,183065534,183065536,173215118,162115563,261742348 Dl.O(d2) = 210523511,263913416,199076961,191674125,183065533,183065534,183065536,173215118,162115563,261742348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11488759, s2 = 10750608, dlinesl.size( ) = 2 s1 = 11488759, s2 = 10750608, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11488759, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10750609, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11488777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488777, s2 = 11654864, int(edited[s2]) = 0 s1 = 11488777, s2 = 11654864, d1 = 12, d2 = 9 Dl.O(d1) = 265505639,227755177,264969946,224240164,221799342,221799343 Dl.O(d2) = 224240164,221799342,263868902,211502287,206509482,200468733,200468732,206509453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11488777, s2 = 11654864, dlinesl.size( ) = 8 s1 = 11489031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489047, s2 = 11221186, int(edited[s2]) = 0 s1 = 11489047, s2 = 11221186, d1 = 9, d2 = 10 Dl.O(d1) = 210637231 Dl.O(d2) = 260103146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489047, s2 = 11221186, dlinesl.size( ) = 2 s1 = 11489047, s2 = 11221186, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11489047, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 15015672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9780102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489407, s2 = 11532540, int(edited[s2]) = 0 s1 = 11489407, s2 = 11532540, d1 = 11, d2 = 2 Dl.O(d1) = 265141577 Dl.O(d2) = 225955634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489407, s2 = 11532540, dlinesl.size( ) = 8 s1 = 11489411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489535, s2 = 14051326, int(edited[s2]) = 0 s1 = 11489535, s2 = 14051326, d1 = 12, d2 = 14 Dl.O(d1) = 273872050 Dl.O(d2) = 261205276,259410774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489535, s2 = 14051326, dlinesl.size( ) = 8 s1 = 11489627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489627, s2 = 12664855, int(edited[s2]) = 0 s1 = 11489627, s2 = 12664855, d1 = 1, d2 = 1 Dl.O(d1) = 210774808,210774809,263845708,206251366,200178658,192986875,192986874,192048918,183500470 Dl.O(d2) = 210774808,210774809,263845708,206251366,200178658,192986875,192986874,192048918,183500470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489627, s2 = 12664855, dlinesl.size( ) = 2 s1 = 11489627, s2 = 12664855, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11489627, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14147617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11490349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12094154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7300807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7300807, s2 = 7577710, int(edited[s2]) = 0 s1 = 7300807, s2 = 7577710, d1 = 44, d2 = 39 Dl.O(d1) = 265161706,264949096 Dl.O(d2) = 70728957,58013306,46639010,36752624,268376303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7300807, s2 = 7577710, dlinesl.size( ) = 2 s1 = 7300807, s2 = 7577710, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 7300807, Dl.E( ) = 46, 1.1e-05 seconds used appending s1 = 11490535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11490535, s2 = 10419764, int(edited[s2]) = 0 s1 = 11490535, s2 = 10419764, d1 = 3, d2 = 17 Dl.O(d1) = 211160108 Dl.O(d2) = 264489690,218702844,264489692,226174488,224038500,224038501,223782004,265140109,265140111,264424451,263803359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11490535, s2 = 10419764, dlinesl.size( ) = 18 s1 = 11490547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11490813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13814352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491167, s2 = 11030974, int(edited[s2]) = 0 s1 = 11491167, s2 = 11030974, d1 = 19, d2 = 10 Dl.O(d1) = 218820917,218820918,273704490,211339423,273850093 Dl.O(d2) = 256875071,255842075,15512079,21524118,27959202,27959201,21524123,15512087,255842077,24728979,24728980,32344664,41159323,51344281,255753678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491167, s2 = 11030974, dlinesl.size( ) = 20 s1 = 11491209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491325, s2 = 11168014, int(edited[s2]) = 0 s1 = 11491325, s2 = 11168014, d1 = 16, d2 = 17 Dl.O(d1) = 263501290,272836314,261109596 Dl.O(d2) = 258684466,88576776,258303477,50626435,40582711,31878674,31878673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491325, s2 = 11168014, dlinesl.size( ) = 20 s1 = 11491371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491371, s2 = 14035020, int(edited[s2]) = 0 s1 = 11491371, s2 = 14035020, d1 = 7, d2 = 14 Dl.O(d1) = 265144638,193153363 Dl.O(d2) = 262588322,261006308,259178908,7041553,267824961,254500541,255034561,5673157,3528772,2100135,1209204,681914,379968,379967,681912,267775437,3528751,254886449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491371, s2 = 14035020, dlinesl.size( ) = 8 s1 = 11491543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491543, s2 = 11384660, int(edited[s2]) = 0 s1 = 11491543, s2 = 11384660, d1 = 12, d2 = 0 Dl.O(d1) = 264558002 Dl.O(d2) = 164536236,152695211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491543, s2 = 11384660, dlinesl.size( ) = 14 s1 = 8781549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8781549, s2 = 16384150, int(edited[s2]) = 0 s1 = 8781549, s2 = 16384150, d1 = 0, d2 = 119 Dl.O(d1) = 181472856,190262807,197850662,204317789,209713563,214139512,264476370 Dl.O(d2) = 240884118,240884126,240393941,266765336,238671769,238671770,239293482,239865640,239865637,239865636,266881476,241338274,241759151,266980756,240884120,240884118,240884126,240393941,266765336,238671769,237993644,237248595,236430186,235533308,234548453,233466750,266056452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8781549, s2 = 16384150, dlinesl.size( ) = 24 s1 = 11491971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491979, s2 = 10465935, int(edited[s2]) = 0 s1 = 11491979, s2 = 10465935, d1 = 15, d2 = 10 Dl.O(d1) = 211530431,264671550,200504270,264112798,185025136,175485375,164732042,262056452 Dl.O(d2) = 270072144,47413128,37505495,28962202,28962201,37505493,256424388,47413130,47413131,58799970,58800035,47413134,37505500,28962208,21680038,255307714,268075361,21680036,28962204,37505496,47413129,258078561,85100247,99024793,113012582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491979, s2 = 10465935, dlinesl.size( ) = 12 s1 = 14753350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492195, s2 = 11592248, int(edited[s2]) = 0 s1 = 11492195, s2 = 11592248, d1 = 15, d2 = 19 Dl.O(d1) = 264975593 Dl.O(d2) = 228256287,266221927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492195, s2 = 11592248, dlinesl.size( ) = 20 s1 = 16125623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16125623, s2 = 13212896, int(edited[s2]) = 0 s1 = 16125623, s2 = 13212896, d1 = 60, d2 = 112 Dl.O(d1) = 216298484,219576575,222345380,224721970 Dl.O(d2) = 58655549,47263726,47263727,48358133,38456450,38456449,37927329,37927328,37927365,29360958,28842877,28842878,31278163,23792399,23013157,16773424,11727037,7828977,4969451,4969450,7828974,11727030,16773412,23013133,30418172,37354004,29360930,26227474,26227475,34088647,37927457,37728866,29360830,22030254,15929072,11052231,7327780,4628663,2788275,1617662,1617664,2788281,4628670,7327798,11052261,15929118,15929117,19353328,19353330,26030645,30418061,28842885,21571463,21571461,28842880,30418074,30418075,39007301,39953026,49969711,40104400,39953029,268439377,23792360,31278114,39953028,39953063,49720679,255854616,31025078,31278088,23792340,23792339,28417273,36915048,37820443,30761578,23338696,17072508,17072507,23338694,255421048,33851819,33851820,254339516,21195198,15231480,15231478,21195195,17235552,17235554,23543795,31025086,31424508,28982963,28982964,37526928,43172007,43172006,49396130,50685448,47565361,37927147,37927146,47846984,267967024,37417528,28875970,28875971,37417534,37818470,29253204,23934008,23934010,21195138,15231433,15231429,21195123,28417178,36880701,28384192,21166269,15209261,15209262,21166276,23621845,17307300,17307301,15231463,10507084,6928536,6928535,10507078,15231453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16125623, s2 = 13212896, dlinesl.size( ) = 2 s1 = 16125623, s2 = 13212896, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 16125623, Dl.E( ) = 118, 4.2e-05 seconds used appending s1 = 5191839, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11492529, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14747224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492651, s2 = 11494784, int(edited[s2]) = 0 s1 = 11492651, s2 = 11494784, d1 = 6, d2 = 17 Dl.O(d1) = 215796507 Dl.O(d2) = 265022868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492651, s2 = 11494784, dlinesl.size( ) = 14 s1 = 13816204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13816256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492831, s2 = 11024840, int(edited[s2]) = 0 s1 = 11492831, s2 = 11024840, d1 = 0, d2 = 12 Dl.O(d1) = 215825632 Dl.O(d2) = 265170310,215423686,264724280,206312951,205318176,264116332,184706255,175125864,164327971,152455144,261533610,112486318,98494551,84571510,71007475,58292325,46926592,37048578,37048577,46926590,58292322,71007471,257055834,47988775,49281420,47988760,47988759,52671926,50541109,50541110,62032712,62032791,61883611,50541077,40505713,31810124,24294960,17912732,12690760,8621209,5605134,5605133,8621207,12690755,17912721,24294931,31810074,40505643,50540996,254963184,52775144,61670430,50186332,40162069,31477469,31477470,31477475,31477474,37667024,29114230,21813036,15749797,10907798,7213998,7213999,10907799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492831, s2 = 11024840, dlinesl.size( ) = 14 s1 = 11492953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492953, s2 = 10993360, int(edited[s2]) = 0 s1 = 11492953, s2 = 10993360, d1 = 0, d2 = 19 Dl.O(d1) = 215854043,219189350,274409400,232659675,233352256 Dl.O(d2) = 220998895,218032380,273814636,260934458,259088242,55741254,256690060,32560425,24909271,24909274,32560432,33058945,42002592,50637596,40589795,31882766,31882762,32691969,25011385,18483445,18069878,18069883,24496601,24502404,20996492,15081953,10402771,10402776,6857499,6857501,10402885,15082143,20996839,28178795,32680417,32680419,30310899,30310894,30311144,22911333,22911329,18333111,13125830,8946473,8946475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492953, s2 = 10993360, dlinesl.size( ) = 24 s1 = 11493057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493181, s2 = 11540968, int(edited[s2]) = 0 s1 = 11493181, s2 = 11540968, d1 = 1, d2 = 6 Dl.O(d1) = 215908325 Dl.O(d2) = 228380389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493181, s2 = 11540968, dlinesl.size( ) = 12 s1 = 13816746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8728340, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8728340, s2 = 11334208, int(edited[s2]) = 0 s1 = 8728340, s2 = 11334208, d1 = 76, d2 = 85 Dl.O(d1) = 271804686,271296929,263082881,192967435,200160554,206234246,206234239,200160549,192967433,184582499,263844109,200160552,192967434 Dl.O(d2) = 273800095,265105137,214058712,264372447,263736593,190105291,190105293,190105292,197717076,264372449,264885501,214058709,209616715,204203726,263736593,181289241,263135306,271794996,53003761,257496782,19120013,19120011,256150651,42563894,260306109,270380714,74017966,74017967,270894419,115629587,129514473,142831268,272568648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8728340, s2 = 11334208, dlinesl.size( ) = 42 s1 = 11493445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16071108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493623, s2 = 16158036, int(edited[s2]) = 0 s1 = 11493623, s2 = 16158036, d1 = 111, d2 = 167 Dl.O(d1) = 265001203 Dl.O(d2) = 205943853,199790659,192512613,184055924,174400452,163557326,163557325,174400450,183543137,173775604,261057902,259877272,109868898,109868897,124008063,137689416,150685029,162777814,173775601,262618998,199435002,205654520,199435004,192084676,183543144,173775609,262132544,192084678,262619006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493623, s2 = 16158036, dlinesl.size( ) = 38 s1 = 11493637, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11493811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493811, s2 = 11479228, int(edited[s2]) = 0 s1 = 11493811, s2 = 11479228, d1 = 7, d2 = 12 Dl.O(d1) = 274262390,274468811 Dl.O(d2) = 266495498,265895857,226940376,224899717,222549650,265040261,264563385,202071974,195166742,195166741,202071971,264284013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493811, s2 = 11479228, dlinesl.size( ) = 8 s1 = 11493947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493947, s2 = 11602298, int(edited[s2]) = 0 s1 = 11493947, s2 = 11602298, d1 = 0, d2 = 10 Dl.O(d1) = 216106273 Dl.O(d2) = 265875891,266520649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493947, s2 = 11602298, dlinesl.size( ) = 12 s1 = 11494019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494019, s2 = 11088390, int(edited[s2]) = 0 s1 = 11494019, s2 = 11088390, d1 = 19, d2 = 18 Dl.O(d1) = 263927670 Dl.O(d2) = 261762264,269357842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494019, s2 = 11088390, dlinesl.size( ) = 46 s1 = 11494067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11494095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494095, s2 = 11348358, int(edited[s2]) = 0 s1 = 11494095, s2 = 11348358, d1 = 11, d2 = 17 Dl.O(d1) = 273493080,166103740,176738703 Dl.O(d2) = 186148267,186148263,262753803,154357000,261218889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494095, s2 = 11348358, dlinesl.size( ) = 20 s1 = 11494315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494315, s2 = 11436160, int(edited[s2]) = 0 s1 = 11494315, s2 = 11436160, d1 = 83, d2 = 40 Dl.O(d1) = 265581611,228531392,230119891,231530010,232285870,266131444,233936522,266343326,266131443,274687316,235541283,234557135,233476156,232285875,265957421,265674783,265336649,218396293,274074011,205572181,264426515,214933715,218396290,265514244,221305567,218396295 Dl.O(d2) = 261970859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494315, s2 = 11436160, dlinesl.size( ) = 22 s1 = 11494355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494355, s2 = 14043290, int(edited[s2]) = 0 s1 = 11494355, s2 = 14043290, d1 = 0, d2 = 0 Dl.O(d1) = 212239292,212239285,207383400,201494166,194496789,186328383,186328382,194496786,201494161,198856765,191411581,191411583,198856773,201494217,201494384,194496932,186328479,176958923,166366294,263195965,194496922,195095125,263969983,207825132,264811303,219781433,219495404,216207018,212239557,212239556,216207014,219495400,219495784,216207466,212240023,212240022,216207200,212239777,212239776,216207208,219495546,222273407,219495795,216207480,212240041,207384098,207383947,201494627,194497071,186328578,177734174,167237655,155606822,143057440,129726809,129726808,143057435,155606814,167237639,177734142,263621447,202009959,201494369,201494370,194497285,186328713,176959066,166366368,166366367,176959064,186328711,194497283,201494898,201494977,264251481,194497257,186328696,186328695,263937189,186328510,176958942,166366308,154649354,261486230,114739819,100689855,86713688,73108223,60368940,60368941,73108225,86713690,271359717,128641335,142004929,154649399,166366380,263195973,194497348,201494992,207384418,212240411,216206771,212239313,264786733,219495166,222273119,223623765,265125495,214652657,274249567,273850648,172861615,172861616,263495954,149413433,161704057,149413435,260951359,122201256,136163727,122201248,107795942,107795944,122201252,136163729,149413431,273038897,264404201,212239660,274201649,222273339,274172292,264432778,273512281,83714198,70192546,270784014,81621398,68131758,68131757,55733965,256265874,35400714,255780086,57955865,257380222,28202794,256316467,21331348,15358802,10611022,10598898,6992559,6992558,4400446,2637089,2637088,4400443,7001628,10611018,15358797,15360683,21333740,28559922,37057600,30700292,28559918,21333736,15360682,15360681,21333733,28559915,37060962,37057636,28556975,21331372,20091957,15369720,15369721,21314960,21314961,15358825,15358824,12357235,12357236,255395877,10598882,6992550,6992549,10598880,255395875,255825171,21314954,28538082,37036487 Dl.O(d2) = 212239292,212239285,207383400,201494166,194496789,186328383,186328382,194496786,201494161,198856765,191411581,191411583,198856773,201494217,201494384,194496932,186328479,176958923,166366294,263195965,194496922,195095125,263969983,207825132,264811303,219781433,219495404,216207018,212239557,212239556,216207014,219495400,219495784,216207466,212240023,212240022,216207200,212239777,212239776,216207208,219495546,222273407,219495795,216207480,212240041,207384098,207383947,201494627,194497071,186328578,177734174,167237655,155606822,143057440,129726809,129726808,143057435,155606814,167237639,177734142,263621447,202009959,201494369,201494370,194497285,186328713,176959066,166366368,166366367,176959064,186328711,194497283,201494898,201494977,264251481,194497257,186328696,186328695,263937189,186328510,176958942,166366308,154649354,261486230,114739819,100689855,86713688,73108223,60368940,60368941,73108225,86713690,271359717,128641335,142004929,154649399,166366380,263195973,194497348,201494992,207384418,212240411,216206771,212239313,264786733,219495166,222273119,223623765,265125495,214652657,274249567,273850648,172861615,172861616,263495954,149413433,161704057,149413435,260951359,122201256,136163727,122201248,107795942,107795944,122201252,136163729,149413431,273038897,264404201,212239660,274201649,222273339,274172292,264432778,273512281,83714198,70192546,270784014,81621398,68131758,68131757,55733965,256265874,35400714,255780086,57955865,257380222,28202794,256316467,21331348,15358802,10611022,10598898,6992559,6992558,4400446,2637089,2637088,4400443,7001628,10611018,15358797,15360683,21333740,28559922,37057600,30700292,28559918,21333736,15360682,15360681,21333733,28559915,37060962,37057636,28556975,21331372,20091957,15369720,15369721,21314960,21314961,15358825,15358824,12357235,12357236,255395877,10598882,6992550,6992549,10598880,255395875,255825171,21314954,28538082,37036487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494355, s2 = 14043290, dlinesl.size( ) = 2 s1 = 11494355, s2 = 14043290, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11494355, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14043289, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11494639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494639, s2 = 11541288, int(edited[s2]) = 0 s1 = 11494639, s2 = 11541288, d1 = 5, d2 = 10 Dl.O(d1) = 216268966 Dl.O(d2) = 226767851,228570129,230154642,231561437,232822483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494639, s2 = 11541288, dlinesl.size( ) = 2 s1 = 11494639, s2 = 11541288, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11494639, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11494697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494697, s2 = 11578830, int(edited[s2]) = 0 s1 = 11494697, s2 = 11578830, d1 = 0, d2 = 14 Dl.O(d1) = 216287061 Dl.O(d2) = 235008058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494697, s2 = 11578830, dlinesl.size( ) = 22 s1 = 7717526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11494783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494783, s2 = 11492652, int(edited[s2]) = 0 s1 = 11494783, s2 = 11492652, d1 = 8, d2 = 19 Dl.O(d1) = 265022869 Dl.O(d2) = 221794110,265371963,221794112,218947130,215573486,211491537,206496980,200455141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494783, s2 = 11492652, dlinesl.size( ) = 8 s1 = 13818516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11495011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495011, s2 = 11651922, int(edited[s2]) = 0 s1 = 11495011, s2 = 11651922, d1 = 7, d2 = 5 Dl.O(d1) = 266137947 Dl.O(d2) = 265402423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495011, s2 = 11651922, dlinesl.size( ) = 12 s1 = 11495013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11495199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495199, s2 = 10449755, int(edited[s2]) = 0 s1 = 11495199, s2 = 10449755, d1 = 24, d2 = 19 Dl.O(d1) = 216416127 Dl.O(d2) = 200099690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495199, s2 = 10449755, dlinesl.size( ) = 40 s1 = 11495385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495385, s2 = 11437164, int(edited[s2]) = 0 s1 = 11495385, s2 = 11437164, d1 = 10, d2 = 0 Dl.O(d1) = 264505362 Dl.O(d2) = 186893926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495385, s2 = 11437164, dlinesl.size( ) = 12 s1 = 11495565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428193, s2 = 11495628, int(edited[s2]) = 0 s1 = 11428193, s2 = 11495628, d1 = 11, d2 = 2 Dl.O(d1) = 273789327 Dl.O(d2) = 213889220,211735350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428193, s2 = 11495628, dlinesl.size( ) = 6 s1 = 11495705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495705, s2 = 11446712, int(edited[s2]) = 0 s1 = 11495705, s2 = 11446712, d1 = 0, d2 = 27 Dl.O(d1) = 212641992,266354985,266390780 Dl.O(d2) = 274163750,185538838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495705, s2 = 11446712, dlinesl.size( ) = 40 s1 = 13819376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11496483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11496483, s2 = 11292970, int(edited[s2]) = 0 s1 = 11496483, s2 = 11292970, d1 = 15, d2 = 18 Dl.O(d1) = 212860870,264302537 Dl.O(d2) = 187459251,195479892,187459255,178242510,167797888,156202686,262486752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11496483, s2 = 11292970, dlinesl.size( ) = 14 s1 = 11496501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11496619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11496619, s2 = 11485884, int(edited[s2]) = 0 s1 = 11496619, s2 = 11485884, d1 = 0, d2 = 10 Dl.O(d1) = 216776978 Dl.O(d2) = 274225002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11496619, s2 = 11485884, dlinesl.size( ) = 14 s1 = 11496645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11496645, s2 = 11234172, int(edited[s2]) = 0 s1 = 11496645, s2 = 11234172, d1 = 14, d2 = 1 Dl.O(d1) = 212905714 Dl.O(d2) = 116648729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11496645, s2 = 11234172, dlinesl.size( ) = 28 s1 = 13994709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13994709, s2 = 11406738, int(edited[s2]) = 0 s1 = 13994709, s2 = 11406738, d1 = 47, d2 = 3 Dl.O(d1) = 118650064,132484664,261882642,118650072,104470427,90322739,90322738,104470426,118650071,132484668,145725552,143507014,143507015,156045032,262830867,158121814,261882640,104470425,104470426,118650068,132484665,145725548,158121821,262895431,158121818,145725546,261932289 Dl.O(d2) = 90322739,90322738,104470426,118650071,132484668,145725552,143507014,130175896 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13834803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13820522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13820522, s2 = 7093801, int(edited[s2]) = 0 s1 = 13820522, s2 = 7093801, d1 = 100, d2 = 54 Dl.O(d1) = 195777266,202584178,208304577,264839197,265265771,265245874,213022805,208304558,202584166,202584167,202584186 Dl.O(d2) = 262475613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13820522, s2 = 7093801, dlinesl.size( ) = 48 s1 = 11497059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11971920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11971920, s2 = 1852407, int(edited[s2]) = 0 s1 = 11971920, s2 = 1852407, d1 = 127, d2 = 105 Dl.O(d1) = 85116507,259948441,113029784,126882641,261676459,262675219,175503748,164751643,164751644,273336755,175513801,175513800,185051564,193373003,185043064,175503763,164751650,152920960,152920959,164751648,175503758,263513023,200521275,263871677,185043045,175503749,175503750,185043049,193372980,193372993,193372994,193372996,185051577,263513841,185043057,175503757,164751647,164751648,175503758,263513023,200521275,206556584,206562136 Dl.O(d2) = 73236108,60489381,60489380,73236105,85434901,71849339,60664671,49263275,49086300,49086301,60489379,73236089,60489367,60489368,60664645,73412687,76996815,70399357,59576107,57705368,46356089,46356091,36498075,36498074,46356094,57705281,258623985,73412696,72640425,72640423,269976252,83925431,270853949,259383111,258134689,48189730,48189731,57705326,57705327,57705342,257653879,40052797,40052796,50072627,50072775,61551217,257171758,50072781,40052994,31372039,31372040,31372024,23876830,17532102,12365456,8355510,5393556,3316583,3316582,5393553,5393002,3316208,3316207,3316604,1951073,1114664,1114663,1950870,1115070,625835,625836,1114939,1115120,1950875,1114816,625670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11971920, s2 = 1852407, dlinesl.size( ) = 2 s1 = 11971920, s2 = 1852407, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11971920, Dl.E( ) = 130, 5.41e-05 seconds used appending s1 = 11497389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11497389, s2 = 14119548, int(edited[s2]) = 0 s1 = 11497389, s2 = 14119548, d1 = 27, d2 = 0 Dl.O(d1) = 264999994 Dl.O(d2) = 145356887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11497389, s2 = 14119548, dlinesl.size( ) = 32 s1 = 11497567, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11497605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13766867, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15014311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11497817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11497817, s2 = 11539376, int(edited[s2]) = 0 s1 = 11497817, s2 = 11539376, d1 = 17, d2 = 19 Dl.O(d1) = 265081855 Dl.O(d2) = 215580714,211500785,211500786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11497817, s2 = 11539376, dlinesl.size( ) = 2 s1 = 11497817, s2 = 11539376, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11497817, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 11497957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11498351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498351, s2 = 11340012, int(edited[s2]) = 0 s1 = 11498351, s2 = 11340012, d1 = 9, d2 = 0 Dl.O(d1) = 273923453 Dl.O(d2) = 105530032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498351, s2 = 11340012, dlinesl.size( ) = 8 s1 = 11498365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498365, s2 = 11323746, int(edited[s2]) = 0 s1 = 11498365, s2 = 11323746, d1 = 12, d2 = 1 Dl.O(d1) = 265133534 Dl.O(d2) = 137321208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498365, s2 = 11323746, dlinesl.size( ) = 24 s1 = 11498395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498395, s2 = 14098858, int(edited[s2]) = 0 s1 = 11498395, s2 = 14098858, d1 = 15, d2 = 35 Dl.O(d1) = 264626804,217060754 Dl.O(d2) = 262927464,189632114,197316969,260863896,196219672,188337210,259651572,202963153,208615179,213260094,217060746,220217946,263342594,209342556,203871409,197316977,189632118,262927473,159274167,261432053,133650430,262467269,180737548,263716099,203871412,209342558,213830645,217512941,220217939,220217938,262927468,217060744,262927466,225193678,227194619,227194617,225193675,274301331,213260086,260863894,202963149,260863906,196219691,202963162,261432056,213260114,261967996,202963171,259651578,157538761,258397384,188337229,260863908,261967994,217060758,213260120,208615214,202963186,202963165,202963164,261432046,208615174,272698114,213260122,260863910,196219712,188337242,179286866,169001161,157538764,157538763,169001159,179286864,188337238,188337223,179286854,259024266,196219688,260863904,196219700,196219699,202963177,208615207,213260116,217060752,272369802,260268038,196219708,202963185,261432062,213260112,208615201,202963171,202963170,261432058,213260109,208615195,202963181,196219706,188337235,179286862,169001156,157538762,257782598,179286861,188337233,196219675,202963155,208615180,261432050,260268032,196219685,260863902,202963172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498395, s2 = 14098858, dlinesl.size( ) = 24 s1 = 14098857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14098857, s2 = 11498396, int(edited[s2]) = 0 s1 = 14098857, s2 = 11498396, d1 = 8, d2 = 8 Dl.O(d1) = 105547308,260863905,105547296,259024267,77410974,91329567,91329582,77410984,64261271,52405996,52405997,64261273,77410986,91329586,105547320,260863911,146903692,272698115,133650418,261432047,119780529,119780530,119780551,133650458,146903690,159274176,261967995,260863909,91329573,258397385,52405994,259651579,119780536,261967997,146903684,261432057,119780527,105547299,260863907,119780514,260863895,146903654,274301330,189632108,197316959,197316965,189632112,262927467,159274157,262927469,170608945,170608946,180737542,189632105,197316957,203871393,263716098,217512916,262467268,208615186,261432052,197316963,262927472,213830626,209342545,203871399,197316967,263342595,170608954,159274159,146903664,133650423,119780518,259651573,91329554,105547280,260863897,146903658,159274156,262927465,262927470,203871396,209342540,213830628,217512921,220584215,223195994,225453778,227417033,229134223,227417037,265789748,213830649,209342563,203871417,273627707,170608958,159274172,264626805 Dl.O(d2) = 105547308,260863905,105547296,259024267,77410974,91329567,91329582,77410984,64261271,52405996,52405997,64261273,77410986,91329586,105547320,260863911,146903692,272698115,133650418,261432047,119780529,119780530,119780551,133650458,146903690,159274176,261967995,260863909,91329573,258397385,52405994,259651579,119780536,261967997,146903684,261432057,119780527,105547299,260863907,119780514,260863895,146903654,274301330,189632108,197316959,197316965,189632112,262927467,159274157,262927469,170608945,170608946,180737542,189632105,197316957,203871393,263716098,217512916,262467268,208615186,261432052,197316963,262927472,213830626,209342545,203871399,197316967,263342595,170608954,159274159,146903664,133650423,119780518,259651573,91329554,105547280,260863897,146903658,159274156,262927465,262927470,203871396,209342540,213830628,217512921,220584215,223195994,225453778,227417033,229134223,227417037,265789748,213830649,209342563,203871417,273627707,170608958,159274172,264626805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14098857, s2 = 11498396, dlinesl.size( ) = 2 s1 = 14098857, s2 = 11498396, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14098857, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11498917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498917, s2 = 5992566, int(edited[s2]) = 0 s1 = 11498917, s2 = 5992566, d1 = 79, d2 = 67 Dl.O(d1) = 217643104,220696879,223295022,225540894 Dl.O(d2) = 241297464,266917752,240346077,266986153,241722022,267110475,242814365,242477072,274892914,241722028,242114447,267196856,267094434,266938807,240839644,266986149,266917752,239814824,239240184,266680494,233374221,266019590,221061270,265320367,221061270,218107485,214585202,210299667,205055357,205055356,198724819,198724818,205055354,274064591,214585206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498917, s2 = 5992566, dlinesl.size( ) = 24 s1 = 11498963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498963, s2 = 7130478, int(edited[s2]) = 0 s1 = 11498963, s2 = 7130478, d1 = 111, d2 = 80 Dl.O(d1) = 217653105,264710168,264449232 Dl.O(d2) = 262995523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498963, s2 = 7130478, dlinesl.size( ) = 22 s1 = 11498969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11499121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499121, s2 = 11200850, int(edited[s2]) = 0 s1 = 11499121, s2 = 11200850, d1 = 19, d2 = 14 Dl.O(d1) = 264372933 Dl.O(d2) = 260348936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499121, s2 = 11200850, dlinesl.size( ) = 18 s1 = 11499269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499269, s2 = 11398704, int(edited[s2]) = 0 s1 = 11499269, s2 = 11398704, d1 = 0, d2 = 7 Dl.O(d1) = 214113134 Dl.O(d2) = 265182252,214113132,214113133,217752766,264738414,204277310,273336434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499269, s2 = 11398704, dlinesl.size( ) = 12 s1 = 11499371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499371, s2 = 11556524, int(edited[s2]) = 0 s1 = 11499371, s2 = 11556524, d1 = 7, d2 = 7 Dl.O(d1) = 265653345,265623416,232111722,233318590,234411807,235407026,236315035,266269788,235407020,234411803,233318588,233318587 Dl.O(d2) = 265653345,265623416,232111722,233318590,234411807,235407026,236315035,266269788,235407020,234411803,233318588,233318587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499371, s2 = 11556524, dlinesl.size( ) = 2 s1 = 11499371, s2 = 11556524, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11499371, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 8763989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11499505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499505, s2 = 11506430, int(edited[s2]) = 0 s1 = 11499505, s2 = 11506430, d1 = 8, d2 = 10 Dl.O(d1) = 265492407 Dl.O(d2) = 274523090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499505, s2 = 11506430, dlinesl.size( ) = 14 s1 = 11499609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499609, s2 = 11075738, int(edited[s2]) = 0 s1 = 11499609, s2 = 11075738, d1 = 3, d2 = 9 Dl.O(d1) = 214500638 Dl.O(d2) = 264395919,273494084,262564424,260975050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499609, s2 = 11075738, dlinesl.size( ) = 6 s1 = 11499673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499673, s2 = 11417036, int(edited[s2]) = 0 s1 = 11499673, s2 = 11417036, d1 = 45, d2 = 41 Dl.O(d1) = 214511194,264396767 Dl.O(d2) = 260936759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499673, s2 = 11417036, dlinesl.size( ) = 48 s1 = 11499817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499817, s2 = 11439652, int(edited[s2]) = 0 s1 = 11499817, s2 = 11439652, d1 = 14, d2 = 11 Dl.O(d1) = 264400697,191244149,262994681,161459727 Dl.O(d2) = 262044899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499817, s2 = 11439652, dlinesl.size( ) = 20 s1 = 13823436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11500049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500049, s2 = 13992834, int(edited[s2]) = 0 s1 = 11500049, s2 = 13992834, d1 = 13, d2 = 15 Dl.O(d1) = 214721235,214721236 Dl.O(d2) = 221146642,220352075,263783454,203300570,196646832,196646831,203300569,208880129,208880128,208880129,203300571,196646832,188875915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500049, s2 = 13992834, dlinesl.size( ) = 2 s1 = 11500049, s2 = 13992834, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11500049, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 14210482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14210482, s2 = 13734698, int(edited[s2]) = 0 s1 = 14210482, s2 = 13734698, d1 = 9, d2 = 27 Dl.O(d1) = 260491407 Dl.O(d2) = 262256528,210462840,271812372,173013008,161847956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14210482, s2 = 13734698, dlinesl.size( ) = 2 s1 = 14210482, s2 = 13734698, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14210482, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 10248779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10248779, s2 = 12163330, int(edited[s2]) = 0 s1 = 10248779, s2 = 12163330, d1 = 11, d2 = 20 Dl.O(d1) = 21756337,19803342,14185041,9751375,6411702,4022340,2410088,2410087,4022339,6411699,9751369,14185031,9751368,9751367,14185029,19803332,26611259,30551439,30551438,39149327,49079298,60482845,73229878,270870743,114875668,128771908,142125946,154759149,166465410,177047795,186404685,194560575,201547034,194560536,186404676,177047786,177047785,186404672,194560564,201547067,263790016,194560566,186404683 Dl.O(d2) = 216239970,219524561,265131978,264677092,207428161,201547052,201547053,207428163,207428170,201547058,264254849,212277669,212277666,264413474,201547066,264254851,212277672,216239968,212277677,212277676,212277651,207428151,263790010,186404656,177047770,177047756,177047754,186404640,186404684,194560573,201547072,274069944,207428130,201547031,263423214,263590163,201547029,207428128,207428135,207428134,274109697,212277656,207428157,201547051,263423220,177047773,166465398,273144445,263422945,263423216,186404651,262563210,154759142,154759140,273144445,173235581,162136186,149924509,136788709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10248779, s2 = 12163330, dlinesl.size( ) = 2 s1 = 10248779, s2 = 12163330, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 10248779, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 11500395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500395, s2 = 11457260, int(edited[s2]) = 0 s1 = 11500395, s2 = 11457260, d1 = 15, d2 = 0 Dl.O(d1) = 214807530,210578230 Dl.O(d2) = 191745896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500395, s2 = 11457260, dlinesl.size( ) = 22 s1 = 11500459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16232347, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13824074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11500721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500721, s2 = 11525966, int(edited[s2]) = 0 s1 = 11500721, s2 = 11525966, d1 = 13, d2 = 18 Dl.O(d1) = 265334631 Dl.O(d2) = 265746899,224792556,222425807,274357263,219668719,216404195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500721, s2 = 11525966, dlinesl.size( ) = 20 s1 = 11500763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500763, s2 = 11363578, int(edited[s2]) = 0 s1 = 11500763, s2 = 11363578, d1 = 18, d2 = 16 Dl.O(d1) = 273891668 Dl.O(d2) = 272462771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500763, s2 = 11363578, dlinesl.size( ) = 28 s1 = 11500989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11973360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11501361, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11501383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501383, s2 = 14153938, int(edited[s2]) = 0 s1 = 11501383, s2 = 14153938, d1 = 21, d2 = 25 Dl.O(d1) = 265152067 Dl.O(d2) = 238710442,239328807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501383, s2 = 14153938, dlinesl.size( ) = 14 s1 = 11501435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501435, s2 = 11411514, int(edited[s2]) = 0 s1 = 11501435, s2 = 11411514, d1 = 13, d2 = 6 Dl.O(d1) = 265829943,274317200 Dl.O(d2) = 264086008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501435, s2 = 11411514, dlinesl.size( ) = 14 s1 = 11501441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501441, s2 = 11497392, int(edited[s2]) = 0 s1 = 11501441, s2 = 11497392, d1 = 1, d2 = 6 Dl.O(d1) = 218570913 Dl.O(d2) = 226081900,274468804,265458540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501441, s2 = 11497392, dlinesl.size( ) = 20 s1 = 15141960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11501711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501711, s2 = 11573858, int(edited[s2]) = 0 s1 = 11501711, s2 = 11573858, d1 = 11, d2 = 12 Dl.O(d1) = 265351835 Dl.O(d2) = 266091049,233559418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501711, s2 = 11573858, dlinesl.size( ) = 14 s1 = 13825374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13825374, s2 = 4071211, int(edited[s2]) = 0 s1 = 13825374, s2 = 4071211, d1 = 26, d2 = 3 Dl.O(d1) = 264792500 Dl.O(d2) = 152162356,260068248 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13825374, s2 = 4071211, dlinesl.size( ) = 30 s1 = 11502573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502573, s2 = 11910292, int(edited[s2]) = 0 s1 = 11502573, s2 = 11910292, d1 = 7, d2 = 8 Dl.O(d1) = 215447603 Dl.O(d2) = 261972426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502573, s2 = 11910292, dlinesl.size( ) = 14 s1 = 14210597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12094826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11502933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502933, s2 = 10700082, int(edited[s2]) = 0 s1 = 11502933, s2 = 10700082, d1 = 7, d2 = 16 Dl.O(d1) = 264472871 Dl.O(d2) = 262664263,164558912,152721088,152721087,164558910,175322893,184875199,184875198,175322895,175322896,184875203,184875201,263503783,175322881,164558902,152721082,152721083,164558906,175322887,184875195,193216807,193216803,263105701,164558901,164558900,262664263,164558912,152721088,140026329,260535675,112816373,126673196,140026325,152721083,164558906,175322886,274185356,273531369,262664265,152721089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502933, s2 = 10700082, dlinesl.size( ) = 2 s1 = 11502933, s2 = 10700082, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11502933, Dl.E( ) = 18, 1.38e-05 seconds used appending s1 = 7006268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7006268, s2 = 5216633, int(edited[s2]) = 0 s1 = 7006268, s2 = 5216633, d1 = 32, d2 = 23 Dl.O(d1) = 261246553,154913169,262777357 Dl.O(d2) = 264552642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7006268, s2 = 5216633, dlinesl.size( ) = 42 s1 = 4910246, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13826728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11503455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503455, s2 = 3836015, int(edited[s2]) = 0 s1 = 11503455, s2 = 3836015, d1 = 11, d2 = 5 Dl.O(d1) = 215692273 Dl.O(d2) = 137264335,263022541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503455, s2 = 3836015, dlinesl.size( ) = 24 s1 = 11503483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503483, s2 = 11594482, int(edited[s2]) = 0 s1 = 11503483, s2 = 11594482, d1 = 19, d2 = 25 Dl.O(d1) = 265378163 Dl.O(d2) = 266587955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503483, s2 = 11594482, dlinesl.size( ) = 32 s1 = 11503565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503565, s2 = 11397172, int(edited[s2]) = 0 s1 = 11503565, s2 = 11397172, d1 = 6, d2 = 4 Dl.O(d1) = 264725146 Dl.O(d2) = 263093890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503565, s2 = 11397172, dlinesl.size( ) = 14 s1 = 11503637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503637, s2 = 11575932, int(edited[s2]) = 0 s1 = 11503637, s2 = 11575932, d1 = 3, d2 = 11 Dl.O(d1) = 265381235 Dl.O(d2) = 274631541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503637, s2 = 11575932, dlinesl.size( ) = 14 s1 = 14210646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11503857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503857, s2 = 11351614, int(edited[s2]) = 0 s1 = 11503857, s2 = 11351614, d1 = 22, d2 = 30 Dl.O(d1) = 265384951 Dl.O(d2) = 207897348,264564627,207897349,202096750,263473904,177850506,262141208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503857, s2 = 11351614, dlinesl.size( ) = 32 s1 = 11503979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503979, s2 = 11397044, int(edited[s2]) = 0 s1 = 11503979, s2 = 11397044, d1 = 71, d2 = 57 Dl.O(d1) = 265196013,215821463,274003398,200862164,193775240,263203692,176040952 Dl.O(d2) = 206323057,263491090,184720034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503979, s2 = 11397044, dlinesl.size( ) = 72 s1 = 13827394, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13827394, s2 = 10275373, int(edited[s2]) = 0 s1 = 13827394, s2 = 10275373, d1 = 5, d2 = 14 Dl.O(d1) = 23350871,17083528,11995859,10900913,10900914,8735742,8735743,12846095,18116288,24553088,18116207,18116206,24553086,32134092,24553069,24553070,31752557,24240725,17864966,17864965,24240724,24553157,31735322,31784644,40429546,32133964,24552945,24552944,32133963,39167616,42913656,33867992,33867993,32134079,24553050,18116171,12846001,12846000,18116168,24553046,28989236,25358174,18775814,13371492,9138889,9138890,13371495,18775815,25358173,28765698,21505728,15497589,12135724,8165687,8165686,12135721,17255667,21506276 Dl.O(d2) = 265402324,219164419,215825879,211789291,206848205,206848206,211789294,215825882,274274413,224403590,226505809,226654629,228337256,229944706,228337269,265993875,229944708,229944709,229944707,228337258,226505801,224403580,224403581,265574536,221983038,265386749,226505810,228337265,229944710 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13827394, s2 = 10275373, dlinesl.size( ) = 2 s1 = 13827394, s2 = 10275373, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13827394, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 11974388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11974390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504141, s2 = 14300063, int(edited[s2]) = 0 s1 = 11504141, s2 = 14300063, d1 = 65, d2 = 116 Dl.O(d1) = 219200842 Dl.O(d2) = 234867525,234385770,233291679,232083034,230740872,229234908,227531076 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11974458, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11974458, s2 = 14092966, int(edited[s2]) = 0 s1 = 11974458, s2 = 14092966, d1 = 5, d2 = 13 Dl.O(d1) = 200873968,206853665,211794216,206853664,206853663,211794215,215830352,274099520,224407703,226509731,224407702,224407701 Dl.O(d2) = 21175527,28395339,36892588,46770754,58138340,58138341,57722387,46372042,36513170,28048993,256274981,36513167,257391061,70417371,83944234,259870961,125531909,138864205,151566590,163449434,167633692,178096380,187333672,195373516,271877066,187333687,195373544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11974458, s2 = 14092966, dlinesl.size( ) = 2 s1 = 11974458, s2 = 14092966, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11974458, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 11504251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504251, s2 = 14070364, int(edited[s2]) = 0 s1 = 11504251, s2 = 14070364, d1 = 13, d2 = 17 Dl.O(d1) = 273450122,255269078,22336561,254928050,28464773,21241980,21241981,21651685,21651686,254093926,15617562,17914210,12691862,12691863,9237662,6050125,6050124,5407080,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12436172,10693564,7064740,4448104,4448103,7064733,10693550,15465088,16650400,11618159,11618160,16650402,22878806,19778346,255513396,13457840,9203137,9203140,13457845,18565259,15197384,10482189,6911000,6911001,10482195,15197394,12629259,8574649,5570554,5570553,8574658,12629276,12352131,8345440,8345439,12352126,17516345,21149814,25256005,18685157,13292206,13292202,17357018,17357020,21149873,21149872,15196116,15196119,21150045,21154160,25344987,256300895,36867385,36867386,46747025,46746355,36865994,36865995,31164688,28367251,21150741,15196540,15196539,21150737,21151211,15196823,255382947,10482266,6911034,4340435,4340434,6911032,255018577,21152274,23676855,17356745,12227073,8255235,8255234,12227071,10482424,10482426,11862438,7927837,5039629,5039630,7927839,11862442,16949449,23222547,30645012,29636192,29636193,28371016,28371017,30643018,39240309,49166518,46745881,46745882,269306373,46746389,46745249,36864039,28365789,28365790,256839613,39241312,256333566,23222049,23675622,25960637,33769563,254888300,22453128,16946551,11860541,11860540,11325146,7521397,7521396,11325140,11325139,16283899,255523875,15779356,15779357,17357088,12227304,12227306,17357093,23217582,30640945,30645275,23222928,23222927,17469375,12316212,12316211,16948214,16945630,11859983,11859982,12227444,12227445,17357300,22410996,22410995,23221193,23221192,22812414,16948823,11862053,7927613,5039512,3051002,3051003,5039518,7927531,7927530,11861897,16948596,23221602,30642215,23219078,16946402,11860442,10524048,10524052,15254519,21224416,15254602,10524115,10524113,11862532,16949572,16946981,16946979,23219759,17851667,17851668,24223032,31731197,257682231,74758206,256704502,36967253,254982832,15281249,10547216,10547215,10547196,6955963,6955964,10547199,13850749,19363945,14064308,14064309,18776109,18776108,25358512,25358501,25358502,20925690,20925691,23993015,31490485,39753218,31075611,31075610,39753216,258861553 Dl.O(d2) = 257479538,256899587,21820247,256048688,4546363,4546384,7215622,10910313,10484463,10484462,9288108,6084476,6084477,9288111,9298060,11309755,9340529,6118214,3828000,2293407,2293406,3827996,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836899,6132885,9290001,9333664,9333669,9287472,9287474,9330108,6111574,6111572,9319585,254934301,6111349,6111348,9329757,255277113,25655704,255681195,13616741,9323859,9323860,13616742,17003318,13588641,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725652,22563250,16383643,16383642,13413910,13413909,17822196,24191357,25698269,25698270,25796235,255273826,25765974,268488950,9351418,13656189,17822731,17822732,24191909,255659160,19150707,19052696,19052697,22337036,25660306,19124613,19124612,25764221,33553859,36871305,28374736,24191830,17822657,17822658,24191831,31699972,25767834,19128091,19128092,25767840,31699588,31699589,32839959,25134662,25134659,25789103,25789102,31672438,24162741,256039227,24251195,24251196,25767852,28435964,22431606,22431605,22413264,22413260,24241783,25591732,25591731,32840138,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,6085278,6085275,8439419,5449224,3349889,3349886,5449192,5449193,7375329,7375330,7375313,7375314,11119394,16014858,16264237,13568345,13568347,19011045,22431984,22431982,17867684,16109955,11190098,8590540,8590536,12652619,17866998,24241854,19144283,255686497,256669651,53056521,65039239,78319068,271022011,261951312,268458336,7470790,7470791,11254198,16190263,20050423,14364864,14364841,14364840,20050397,20048439,14362648,267946333,6483253,9869373,14362646,20048438,14368225,14368224,20053827,20063053,14390233,9896158,7714608,7714609,5509290,5509289,4069643,4069642,6494699,6497196,4071206,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725128,4533433,6535170,4094677,4073435,2437368,1409358,1409362,2437401,4073517,6500844,9892852,14387191,17558534,12387753,8371099,8371101,12387755,17558538,14386582,14353763,14353765,9901053,6507617,4077961,2439945,2439947,4077967,6507620,9881378,9898759,14392475,255990168,6739012,6739010,10255770,9405521,9405522,13729721,10255860,10255859,11188574,7423819,4691264,2826705,2826702,3941414,3941412,6292771,7423742,11188454,13684421,9371379,9371376,9371368,9371366,13684389,13684431,13684430,19163631,14030582,9645946,9645942,14030569,19584130,26045728,24259252,24259253,30712000,254714210,13285172,13285170,14939477,11514875,11514874,11517022,11509044,7656259,4844500,4844502,7656265,11509055,14606673,10050857,6604546,6604545,10050849,13285435,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599039,19049743,17555543,17555544,23900394,26983356,20860903,14959348,14959349,14960061,15644874,21684143,20895864,14991911,10323020,10323021,14606140,10053322,10053321,14610395,20349796,14606497,14606498,20349800,27285001,20866212,14964112,12772759,12670816,8604786,5591627,5591626,8604781,12670811,17888516,21218608,28444599,22277511,16134634,11208216,7436922,7436923,10276559,10276557,14941745,20841238,15051344,10377482,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837770,6106938,6106939,9322902,13615282,14939001,11269396,11269395,255467995,29721667,268945037,48197230,48197229,44832288,35406837,255713700,254955506,6602928,7130320,6391008,6391007,9714672,14120397,15901774,18690890,18690889,25262352,31735564,32131366,24550594,271931113,143350856,155894860,167511734,263399690,162824183,173801769,183558170,177984881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504251, s2 = 14070364, dlinesl.size( ) = 12 s1 = 11504425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504425, s2 = 7653519, int(edited[s2]) = 0 s1 = 11504425, s2 = 7653519, d1 = 59, d2 = 62 Dl.O(d1) = 264262252 Dl.O(d2) = 271109303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504425, s2 = 7653519, dlinesl.size( ) = 42 s1 = 11504547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504547, s2 = 11188838, int(edited[s2]) = 0 s1 = 11504547, s2 = 11188838, d1 = 19, d2 = 10 Dl.O(d1) = 215972086,273744040 Dl.O(d2) = 260712626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504547, s2 = 11188838, dlinesl.size( ) = 20 s1 = 11504601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504769, s2 = 6511664, int(edited[s2]) = 0 s1 = 11504769, s2 = 6511664, d1 = 13, d2 = 20 Dl.O(d1) = 216045989 Dl.O(d2) = 255409458,38595662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504769, s2 = 6511664, dlinesl.size( ) = 14 s1 = 11504815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504815, s2 = 11006852, int(edited[s2]) = 0 s1 = 11504815, s2 = 11006852, d1 = 13, d2 = 10 Dl.O(d1) = 262273486,201258440,201258439,194222180,261213728,260637490,186008089,186008090,194222155,261213726,194222177,201258449,207181144,212065441,262273488,207181140,212065437,207181139,201258435,201258434,207181137,207181143,201258448,201258425,194222157,194222158,201258427,207181134,212065437,212065440,212065438,207181143,201258448,201258425,260637496,186008108,194222182,201258456,201258435,194222167,194222166,201258432,201258445,260637494,271353196,165939663,165939664,176586194,165939668,165939669,176586198,165939666,154180236,141516649,128158215 Dl.O(d2) = 72677980,59938489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504815, s2 = 11006852, dlinesl.size( ) = 8 s1 = 11504921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504921, s2 = 10363836, int(edited[s2]) = 0 s1 = 11504921, s2 = 10363836, d1 = 24, d2 = 0 Dl.O(d1) = 265730181,230060177,231475445 Dl.O(d2) = 213926249,209462540,209462539,213817871,209328206,203854705,197297208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504921, s2 = 10363836, dlinesl.size( ) = 2 s1 = 11504921, s2 = 10363836, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11504921, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 11505021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11505021, s2 = 11356150, int(edited[s2]) = 0 s1 = 11505021, s2 = 11356150, d1 = 7, d2 = 8 Dl.O(d1) = 216095093,212109245 Dl.O(d2) = 263136704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11505021, s2 = 11356150, dlinesl.size( ) = 10 s1 = 11505089, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11505177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11505177, s2 = 11395252, int(edited[s2]) = 0 s1 = 11505177, s2 = 11395252, d1 = 18, d2 = 22 Dl.O(d1) = 264151694,263060604,166076313,154326860,141674488,259871338 Dl.O(d2) = 273558703,194328779,263060604,166076313,154326860,141674488,141674487,272512318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11505177, s2 = 11395252, dlinesl.size( ) = 14 s1 = 8706021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8706021, s2 = 10145925, int(edited[s2]) = 0 s1 = 8706021, s2 = 10145925, d1 = 61, d2 = 36 Dl.O(d1) = 166117328,166117329,263188233,186159281,194358991,201382212 Dl.O(d2) = 7213217,4544832,254230085,900020,900021,1583129,2732103,4544835,7213218,7213053,4544724,2732036,2732035,4544723,7213051,10906160,15746980,21808523,29107231,37656922,37657519,29107703,21808903,15747280,15747281,21808905,29107705,29107288,21808561,15747005,15747004,21808558,29107283,37656991,34753460,34753459,44070168,47563087,47563086,47735343,59133899,71872004,85456756,256098680,58945883,47563024,37656937,29107242,29107241,37656935,47563020,58945875,71667437,84370316,70810775,58093426,46721256,46721255,58093424,70810771,58093439,58093438,46721289,36838419,36838418,36838427,37813131,255316232,21928035,29248358,37813099,47735337,44069971,44069972,34753343,34753344,44070010,34753548,26733471,19898473,14254388,9797598,9797599,14254391,19898476,256207935,34753317,26733290,19898344,14254316,14254314,19898341,26733284,34753307,44069977,44070005,54870401,44070002,34753337,34753338,33858198,26733430,26733431,34753499,44070015,34753350,26733313,19898360,19898359,26733310,256732117,269626843,44070252,34753541,26733468,26733467,34753527,44070232,54870596,52725079,44070201,34753517,26733445,26733444,34753515,33356905,33356906,37288140,37288139,47196524,54870513,257466103,47390920,42753620,42753621,47390915,53202705,42753646,42753645,53202702,58777980,47390851,44070238,34753531,34753532,44070240,256206178,255318746,18127156,12853761,255219019,19303606,25970276,33780532,29665803,22313958,16168630,11236285,7457288,4712073,4712074,5184500,3163018,3163019,2840035,1647439,1647438,2840029,4713509,4713510,4711952,2838597,1646677,936320,527647,527649,527862,936763,1647371,1986522,3375277,5484307,8483601,12521871,12425822,11234069,7455214,7455215,7458357,4712866,2839186,1646999,936480,527727,295654,295651,527713,936455,1646954,2839118,1851470,1851469,1851462,1851461,3162825,5184182,6750533,5550425,5550426,7456082,4711186,4711188,7456090,4711194,4711193,4029554,2414664,2414666,3036884,1767859,1007422,1007421,1767857,3036880,5019058,254813349,254871415,5550212,3435297,2032075,1163823,1163824,2032076,3435299,5550214,8552506,12602810,255587269,15290384,10555462,10555463,15290372,15290375,15840499,10977025,7265571,7265572,10977028,15840505,255168022,15475669,10701896,10701838,8483676,8483679,7069070,4450720,3797323,2274465,2274468,3797333,6069212,8108741,8114625,5976658,5410298,3325884,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,8371783,6950125,6950121,6059256,6059254,6065691,3795140,3791147,3791146,6059115,9251564,6059776,3791544,3791543,267932663,11953955,17040313,23300512,268442116,15309088,15309089,21270421,25563551,18952072,13515550,9248267,6056876,6056875,9248265,13515546,17448933,23779021,31264318,257061555,258253097,270900593,271857809,155616805,155161466,142517215,129139930,115208243,101130382,87132213,258196726,49361099,39431484,30827271,23399568,23399569,30827274,39431487,33955013,33955014,43011867,53490148,65513747,72988865,86586095,100547191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8706021, s2 = 10145925, dlinesl.size( ) = 16 s1 = 13832329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11505499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143005, s2 = 11505500, int(edited[s2]) = 0 s1 = 14143005, s2 = 11505500, d1 = 1, d2 = 7 Dl.O(d1) = 265917607 Dl.O(d2) = 237002500,237769952,266759947,238874212,238219260,266594133,234884356,266231077,231410670,229989008,228386467,226561380,224466243,222054337,219245540,264762811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143005, s2 = 11505500, dlinesl.size( ) = 2 s1 = 14143005, s2 = 11505500, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14143005, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11505695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11505695, s2 = 11655086, int(edited[s2]) = 0 s1 = 11505695, s2 = 11655086, d1 = 6, d2 = 29 Dl.O(d1) = 216281181 Dl.O(d2) = 263945145,177131080,272884085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11505695, s2 = 11655086, dlinesl.size( ) = 32 s1 = 16391839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14224294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11506429, s2 = 11499506, int(edited[s2]) = 0 s1 = 11506429, s2 = 11499506, d1 = 12, d2 = 7 Dl.O(d1) = 274523091 Dl.O(d2) = 265492406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11506429, s2 = 11499506, dlinesl.size( ) = 14 s1 = 11506763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11506763, s2 = 11161050, int(edited[s2]) = 0 s1 = 11506763, s2 = 11161050, d1 = 10, d2 = 12 Dl.O(d1) = 262432168 Dl.O(d2) = 271003448,158954654,146587735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11506763, s2 = 11161050, dlinesl.size( ) = 14 s1 = 11507251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507251, s2 = 11938030, int(edited[s2]) = 0 s1 = 11507251, s2 = 11938030, d1 = 13, d2 = 0 Dl.O(d1) = 218888690 Dl.O(d2) = 184858464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507251, s2 = 11938030, dlinesl.size( ) = 20 s1 = 11507271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507271, s2 = 11332824, int(edited[s2]) = 0 s1 = 11507271, s2 = 11332824, d1 = 15, d2 = 5 Dl.O(d1) = 216728865,264080362 Dl.O(d2) = 259074882,256548996,25935561,19273042,19273043,19214619,19214368,13863208,13863209,19380556,18402618,13071268,8907133,5812508,3625756,2165357,2165356,3625752,5812503,8907124,13071252,13775276,13775277,13776512,9444863,9444859,13725008,9401745,9401743,10490480,6917392,4345367,2602150,2602149,4345362,6917380,8900666,8900669,13061742,13061748,13724546,13724547,13724536,9401444,9401443,13724533,13775805,9444391,6191298,3874749,3874750,3622684,3622683,3854108,2309121,2309122,2320386,2165351,2165353,3625746,5812487,8907083,13071164,18402460,22289285,18388728,13061626,13061625,13775243,13776519,13071243,13071242,9444871,9444870,13776527,19273272,18387704,13060952,8900190,5807810,5807808,8900186,13060939,9444085,9444084,255285039,268504255,18388480,18388479,24888011,23088134,16834503,16834501,23088130,23088093,23088094,30501900,33741395,28225465,21029459,21029460,28225468,23088197,16834542,16834543,23088201,24886899,24886898,31124737,23638804,18387581,18387582,24886908,25873474,25418470,18826697,13413574,9171274,6002709,6002710,9171261,13413549,18826665,261436517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507271, s2 = 11332824, dlinesl.size( ) = 26 s1 = 11507317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507317, s2 = 13997281, int(edited[s2]) = 0 s1 = 11507317, s2 = 13997281, d1 = 13, d2 = 18 Dl.O(d1) = 262918430 Dl.O(d2) = 264621136,233003415,265287048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507317, s2 = 13997281, dlinesl.size( ) = 20 s1 = 11507355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507355, s2 = 11267776, int(edited[s2]) = 0 s1 = 11507355, s2 = 11267776, d1 = 10, d2 = 6 Dl.O(d1) = 263801464 Dl.O(d2) = 260993000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507355, s2 = 11267776, dlinesl.size( ) = 14 s1 = 14718201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14719334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14719334, s2 = 5141157, int(edited[s2]) = 0 s1 = 14719334, s2 = 5141157, d1 = 6, d2 = 6 Dl.O(d1) = 262914457,189269617,197003782,203609177,209129493,213660455 Dl.O(d2) = 262914457,189269617,197003782,203609177,209129493,213660455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14719334, s2 = 5141157, dlinesl.size( ) = 2 s1 = 14719334, s2 = 5141157, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14719334, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13831194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11507645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507645, s2 = 157661, int(edited[s2]) = 0 s1 = 11507645, s2 = 157661, d1 = 76, d2 = 88 Dl.O(d1) = 264607132 Dl.O(d2) = 3674842,5885714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507645, s2 = 157661, dlinesl.size( ) = 22 s1 = 5457200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5457200, s2 = 6727349, int(edited[s2]) = 0 s1 = 5457200, s2 = 6727349, d1 = 104, d2 = 67 Dl.O(d1) = 225051043,227076047,228843560,230400394,265769864,231783718,230400390 Dl.O(d2) = 257772602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5457200, s2 = 6727349, dlinesl.size( ) = 48 s1 = 11507775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507775, s2 = 11549928, int(edited[s2]) = 0 s1 = 11507775, s2 = 11549928, d1 = 19, d2 = 12 Dl.O(d1) = 265266273 Dl.O(d2) = 227801769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507775, s2 = 11549928, dlinesl.size( ) = 20 s1 = 11507809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507809, s2 = 14111874, int(edited[s2]) = 0 s1 = 11507809, s2 = 14111874, d1 = 28, d2 = 1 Dl.O(d1) = 264524462,264241758 Dl.O(d2) = 157040490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507809, s2 = 14111874, dlinesl.size( ) = 30 s1 = 11507837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507837, s2 = 11288358, int(edited[s2]) = 0 s1 = 11507837, s2 = 11288358, d1 = 16, d2 = 1 Dl.O(d1) = 264593602,262401870 Dl.O(d2) = 117625610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507837, s2 = 11288358, dlinesl.size( ) = 18 s1 = 11507879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507879, s2 = 11403592, int(edited[s2]) = 0 s1 = 11507879, s2 = 11403592, d1 = 5, d2 = 11 Dl.O(d1) = 265004904 Dl.O(d2) = 216689310,264792554,187338097,178101713,167639746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507879, s2 = 11403592, dlinesl.size( ) = 2 s1 = 11507879, s2 = 11403592, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11507879, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 15310138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13831756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13831756, s2 = 10151943, int(edited[s2]) = 0 s1 = 13831756, s2 = 10151943, d1 = 321, d2 = 232 Dl.O(d1) = 220224041,217067730,264086044 Dl.O(d2) = 256166683 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508127, s2 = 11382876, int(edited[s2]) = 0 s1 = 11508127, s2 = 11382876, d1 = 18, d2 = 15 Dl.O(d1) = 265018568 Dl.O(d2) = 261921257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508127, s2 = 11382876, dlinesl.size( ) = 14 s1 = 13832158, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13832158, s2 = 11402108, int(edited[s2]) = 0 s1 = 13832158, s2 = 11402108, d1 = 45, d2 = 1 Dl.O(d1) = 217260550,220379747,223027937,223027935 Dl.O(d2) = 180013739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13832158, s2 = 11402108, dlinesl.size( ) = 54 s1 = 11508477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11508497, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11508693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508693, s2 = 12896659, int(edited[s2]) = 0 s1 = 11508693, s2 = 12896659, d1 = 6, d2 = 6 Dl.O(d1) = 264618444,273920824,209206940,203715348,197141702,189439998,262915032,146700894,146700895,159065032,170399606,263331125,189440000,197141705,273920824,209206940,203715348,197141702,189439998,262915032,146700894,146700895,159065032,170399605,180533092,180533091,170399604,159065027,146700892,146700893,135744486 Dl.O(d2) = 264618444,273920824,209206940,203715348,197141702,189439998,262915032,146700894,146700895,159065032,170399606,263331125,189440000,197141705,273920824,209206940,203715348,197141702,189439998,262915032,146700894,146700895,159065032,170399605,180533092,180533091,170399604,159065027,146700892,146700893,135744486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508693, s2 = 12896659, dlinesl.size( ) = 2 s1 = 11508693, s2 = 12896659, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11508693, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11509135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13832930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11509281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11509281, s2 = 10572342, int(edited[s2]) = 0 s1 = 11509281, s2 = 10572342, d1 = 0, d2 = 17 Dl.O(d1) = 220653738,223255057,225504506 Dl.O(d2) = 266175000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11509281, s2 = 10572342, dlinesl.size( ) = 22 s1 = 11509441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11509441, s2 = 11526350, int(edited[s2]) = 0 s1 = 11509441, s2 = 11526350, d1 = 9, d2 = 25 Dl.O(d1) = 220689890 Dl.O(d2) = 264904196,265612936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11509441, s2 = 11526350, dlinesl.size( ) = 8 s1 = 7257115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7257115, s2 = 8448938, int(edited[s2]) = 0 s1 = 7257115, s2 = 8448938, d1 = 71, d2 = 82 Dl.O(d1) = 264637585 Dl.O(d2) = 85405228,71816528,71816527,85405226,85388992,268626166,47659961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7257115, s2 = 8448938, dlinesl.size( ) = 22 s1 = 11509665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11509665, s2 = 11551904, int(edited[s2]) = 0 s1 = 11509665, s2 = 11551904, d1 = 4, d2 = 11 Dl.O(d1) = 264415286 Dl.O(d2) = 274579857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11509665, s2 = 11551904, dlinesl.size( ) = 12 s1 = 11509675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11509675, s2 = 11071600, int(edited[s2]) = 0 s1 = 11509675, s2 = 11071600, d1 = 11, d2 = 13 Dl.O(d1) = 274049917 Dl.O(d2) = 261469416,25589819,22632041,16444850,11457780,7621097,7621093,8525685,5524362,5524364,8525694,10743728,255683821,13641340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11509675, s2 = 11071600, dlinesl.size( ) = 14 s1 = 11509697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11509697, s2 = 11372520, int(edited[s2]) = 0 s1 = 11509697, s2 = 11372520, d1 = 4, d2 = 6 Dl.O(d1) = 264421364 Dl.O(d2) = 181355896,171327469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11509697, s2 = 11372520, dlinesl.size( ) = 12 s1 = 11509893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11510053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11510205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510205, s2 = 7503135, int(edited[s2]) = 0 s1 = 11510205, s2 = 7503135, d1 = 97, d2 = 117 Dl.O(d1) = 264072376 Dl.O(d2) = 267106107,267206343,274939401,243655289,243911897,267312534,267288599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510205, s2 = 7503135, dlinesl.size( ) = 14 s1 = 11510207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510207, s2 = 9044361, int(edited[s2]) = 0 s1 = 11510207, s2 = 9044361, d1 = 9, d2 = 29 Dl.O(d1) = 264710180,210235202,214532520,218065038,221026657,223558888 Dl.O(d2) = 265547144,263886587,273335330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510207, s2 = 9044361, dlinesl.size( ) = 14 s1 = 11510403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510403, s2 = 14079628, int(edited[s2]) = 0 s1 = 11510403, s2 = 14079628, d1 = 30, d2 = 8 Dl.O(d1) = 265002110 Dl.O(d2) = 107814090,93391987,79265745,257860377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510403, s2 = 14079628, dlinesl.size( ) = 40 s1 = 11510489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510489, s2 = 11590712, int(edited[s2]) = 0 s1 = 11510489, s2 = 11590712, d1 = 40, d2 = 53 Dl.O(d1) = 264368792,182948104,264408003 Dl.O(d2) = 236900024,236048230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510489, s2 = 11590712, dlinesl.size( ) = 28 s1 = 11510491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510491, s2 = 10371869, int(edited[s2]) = 0 s1 = 11510491, s2 = 10371869, d1 = 1, d2 = 14 Dl.O(d1) = 221146081 Dl.O(d2) = 227353415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510491, s2 = 10371869, dlinesl.size( ) = 24 s1 = 11510919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510919, s2 = 14037806, int(edited[s2]) = 0 s1 = 11510919, s2 = 14037806, d1 = 21, d2 = 31 Dl.O(d1) = 221249201 Dl.O(d2) = 259454314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510919, s2 = 14037806, dlinesl.size( ) = 14 s1 = 14066469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511257, s2 = 11297722, int(edited[s2]) = 0 s1 = 11511257, s2 = 11297722, d1 = 7, d2 = 11 Dl.O(d1) = 218407313 Dl.O(d2) = 260409047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511257, s2 = 11297722, dlinesl.size( ) = 14 s1 = 11511275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511275, s2 = 14099352, int(edited[s2]) = 0 s1 = 11511275, s2 = 14099352, d1 = 2, d2 = 9 Dl.O(d1) = 218411131,264648266,264079844 Dl.O(d2) = 263744906,183450132,262505616,261477986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511275, s2 = 14099352, dlinesl.size( ) = 14 s1 = 11511329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511329, s2 = 14138138, int(edited[s2]) = 0 s1 = 11511329, s2 = 14138138, d1 = 13, d2 = 0 Dl.O(d1) = 264692153 Dl.O(d2) = 205608287,264692147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511329, s2 = 14138138, dlinesl.size( ) = 20 s1 = 11511567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14794147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511815, s2 = 2963684, int(edited[s2]) = 0 s1 = 11511815, s2 = 2963684, d1 = 215, d2 = 212 Dl.O(d1) = 221481505,223955223,226096929,227962418,229601108,266089021,232364588 Dl.O(d2) = 271345598,258151946,74728048,88356194,100120086,269819632,259537803,100120086,258775812,72555511,61934580,50443976,50443975,50443978,50443977,61934588,61934585,61934586,74728045,88356192,88356189,74728042,61934584,61934582,61934590,61934589,258775814,74728043,61934585,256419550,31718191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511815, s2 = 2963684, dlinesl.size( ) = 106 s1 = 9843646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511895, s2 = 10480752, int(edited[s2]) = 0 s1 = 11511895, s2 = 10480752, d1 = 20, d2 = 33 Dl.O(d1) = 264943658 Dl.O(d2) = 199801576,199801575,205953849,211040708,211040712,205953851,263468156,263065518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511895, s2 = 10480752, dlinesl.size( ) = 38 s1 = 11512007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11512277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512277, s2 = 11405900, int(edited[s2]) = 0 s1 = 11512277, s2 = 11405900, d1 = 16, d2 = 2 Dl.O(d1) = 264292386 Dl.O(d2) = 192945955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512277, s2 = 11405900, dlinesl.size( ) = 20 s1 = 11512363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11512461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512461, s2 = 11431768, int(edited[s2]) = 0 s1 = 11512461, s2 = 11431768, d1 = 29, d2 = 25 Dl.O(d1) = 218772975,215383191,264459778,263846832 Dl.O(d2) = 262642520,261638110,112356218,98374046,89941823,258035052,50910075,258735406,60487380,49084008,49084009,270832697,264983810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512461, s2 = 11431768, dlinesl.size( ) = 32 s1 = 11512509, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11512689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512689, s2 = 12872829, int(edited[s2]) = 0 s1 = 11512689, s2 = 12872829, d1 = 0, d2 = 3 Dl.O(d1) = 221687335,224142582 Dl.O(d2) = 228125071,229751416,229751417,228125072,228125071,229751416,266100347,266317323,234724327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512689, s2 = 12872829, dlinesl.size( ) = 2 s1 = 11512689, s2 = 12872829, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11512689, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11512929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512929, s2 = 11108396, int(edited[s2]) = 0 s1 = 11512929, s2 = 11108396, d1 = 36, d2 = 7 Dl.O(d1) = 264162354 Dl.O(d2) = 126614652,112759224,269303502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512929, s2 = 11108396, dlinesl.size( ) = 38 s1 = 13995351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14211106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14211106, s2 = 7787017, int(edited[s2]) = 0 s1 = 14211106, s2 = 7787017, d1 = 43, d2 = 10 Dl.O(d1) = 272188956,271334341,37472010,37472009,267966474,28930612,21660772,15624526,10810660,7143517,4497981,254507081,268389031,258700647,99003348,112992641,261124053,152885247,262673075,273706151,264191009,211521919,211521921,264191010,263869650,185012012,185012013,193343202,200493364,264478289,264737303,218969739,221814087,224254047,226369523,228211819,265984145,231266867,229829640,265984147,266106836,265851526,226369524,226369523,228211820,229829636,231266855,232556095,233720551,234779644,235744601,236622446,236622502,237422517,237422460,237422461,236622470,236622471,266659983,238810664,238148985,266586066,236622482,236622487,235744630,234779659,233720561,232556100,232556101,231266865,229829639,274461676,226369525,265851529,266219363 Dl.O(d2) = 267188564,242579549,274924035,274758141,266365542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211106, s2 = 7787017, dlinesl.size( ) = 2 s1 = 14211106, s2 = 7787017, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14211106, Dl.E( ) = 46, 1.72e-05 seconds used appending s1 = 5275892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5275892, s2 = 11392074, int(edited[s2]) = 0 s1 = 5275892, s2 = 11392074, d1 = 3, d2 = 20 Dl.O(d1) = 219059514 Dl.O(d2) = 262205643,140544316,127198532,260937200,47666619,37744762,268394379,21872873,257364100,20626402,14791952,10173760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5275892, s2 = 11392074, dlinesl.size( ) = 14 s1 = 11513625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11513625, s2 = 11231988, int(edited[s2]) = 0 s1 = 11513625, s2 = 11231988, d1 = 45, d2 = 35 Dl.O(d1) = 264955296,228267840,229879726 Dl.O(d2) = 263741154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11513625, s2 = 11231988, dlinesl.size( ) = 54 s1 = 11513691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14211118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11514295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514295, s2 = 11032168, int(edited[s2]) = 0 s1 = 11514295, s2 = 11032168, d1 = 16, d2 = 7 Dl.O(d1) = 263468912,185615165,176153907,165475250,259260600 Dl.O(d2) = 72258558,59524892,255006338,38227717,48137847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514295, s2 = 11032168, dlinesl.size( ) = 12 s1 = 11514491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514491, s2 = 14141534, int(edited[s2]) = 0 s1 = 11514491, s2 = 14141534, d1 = 2, d2 = 10 Dl.O(d1) = 219266207 Dl.O(d2) = 265405250,226574775,228398649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514491, s2 = 14141534, dlinesl.size( ) = 14 s1 = 11514707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514707, s2 = 15133327, int(edited[s2]) = 0 s1 = 11514707, s2 = 15133327, d1 = 18, d2 = 0 Dl.O(d1) = 264769936 Dl.O(d2) = 165860608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514707, s2 = 15133327, dlinesl.size( ) = 20 s1 = 11514711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514711, s2 = 11455164, int(edited[s2]) = 0 s1 = 11514711, s2 = 11455164, d1 = 19, d2 = 15 Dl.O(d1) = 222126843,222126845,222126844 Dl.O(d2) = 222792493,220093497,216898741,264539304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514711, s2 = 11455164, dlinesl.size( ) = 14 s1 = 11515499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5104297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5104297, s2 = 9052083, int(edited[s2]) = 0 s1 = 5104297, s2 = 9052083, d1 = 1, d2 = 83 Dl.O(d1) = 212033762 Dl.O(d2) = 265937588,265650436,226851655,228642608,230217512,266249089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5104297, s2 = 9052083, dlinesl.size( ) = 38 s1 = 11515961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11422089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422089, s2 = 13070877, int(edited[s2]) = 0 s1 = 11422089, s2 = 13070877, d1 = 26, d2 = 33 Dl.O(d1) = 263943303 Dl.O(d2) = 94456533,108749701,108749705,259139129,257891141,43964214,34688985,26694453,19874377,19874379,256205731,43964215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422089, s2 = 13070877, dlinesl.size( ) = 6 s1 = 11516033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15143381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15143381, s2 = 14213765, int(edited[s2]) = 0 s1 = 15143381, s2 = 14213765, d1 = 24, d2 = 27 Dl.O(d1) = 43293287,34195606,26322976,19596515,14041235,14041236,19596517,19646771,26381031,23749290,23749289,17447797,12299021,12299022,17447799,23777811,31263027,30325792,30325793,28212113,21018721,15096209,12300808,12300810,17449895,16054462,11147320,7393661,7393660,8575558,8575557,8575043,8575042,12629708,17361573,12231792,12231793,12232414,12232413,17362443,17362603,12232595,12232594,12630451,17836516,17704467,12522882,12522881,12565969,8521013,8521012,12565965,17362471,12630491,12279893,8293265,8293264,12232186,8293246,8293244,5518890,3405545,2008647,2008645,3405537,5518871,5359387,3294423,3294421,5359375,8306505,5538743,5538748,7430584,5538739,5538741,8540667,12565854,12550988,12550989,12252945,12252944,17362365,12232348,12232347,12280832,8293937,8259862,8259863,8259719,5328821,5328819,8259712,9234018,6047721,6047719,9234012,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,12552610,254652806,4641784,2795770,2795771,254522801,8293097,12279652,16690303,22924712,254592496,31231658,39908267,49927634,254597242,38614964,38614963,30041672,30041671,35021884,28095643,24034310,17683020,17683019,19216785,13726383,13726385,11476306,11476307,16471259,12086099,255153385,21093934,255570904,39265373,30669541,23254041,16991141,16991143,17322172,12197313,12197316,16463755,11471186,7630093,4827390,4827388,7630087,11471173,16463721,22656849,30031199,33187455,40093080,50005454,50005455,59924330,68229040,55801763,44872524,35433864,30041034,22665853,16470860,11476084,11476083,16470858,17483996,17483997,21099017,21099018,28302864,21094069,21094068,28302862,31310571,31310570,31727388,30885020,23453115,23453116,30885021,39491315,49421097,60821255,60821253,60821252,73568317,87186913,260086937,129188850,142562819,155204463,262789001,186748710,273738641,264549171,212457798,216396629,219662885 Dl.O(d2) = 226844066,228636074,230211677,231611092,232866967,234004418,235040739,235983760,266745767,239568750,240117215,240625636,241097137,267054009,242314188,242661070,242984645,243287234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15143381, s2 = 14213765, dlinesl.size( ) = 2 s1 = 15143381, s2 = 14213765, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15143381, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 5519079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11516261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516261, s2 = 11571912, int(edited[s2]) = 0 s1 = 11516261, s2 = 11571912, d1 = 13, d2 = 7 Dl.O(d1) = 265594617 Dl.O(d2) = 231629892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516261, s2 = 11571912, dlinesl.size( ) = 14 s1 = 11516297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516297, s2 = 14135417, int(edited[s2]) = 0 s1 = 11516297, s2 = 14135417, d1 = 11, d2 = 23 Dl.O(d1) = 222480004 Dl.O(d2) = 219532944,219532940,216249826,212289846,207443532,265018349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516297, s2 = 14135417, dlinesl.size( ) = 2 s1 = 11516297, s2 = 14135417, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11516297, Dl.E( ) = 34, 1.6e-05 seconds used appending s1 = 11516405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516405, s2 = 11451524, int(edited[s2]) = 0 s1 = 11516405, s2 = 11451524, d1 = 10, d2 = 6 Dl.O(d1) = 265184242 Dl.O(d2) = 264195430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516405, s2 = 11451524, dlinesl.size( ) = 12 s1 = 11516739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11516935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517125, s2 = 11362770, int(edited[s2]) = 0 s1 = 11517125, s2 = 11362770, d1 = 76, d2 = 53 Dl.O(d1) = 263934026,208053290,263582752,212814874,208053280 Dl.O(d2) = 258878134,129875904,115978237,257064234,269871654,167390558,177885277,260714102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517125, s2 = 11362770, dlinesl.size( ) = 34 s1 = 16220023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16220023, s2 = 8931861, int(edited[s2]) = 0 s1 = 16220023, s2 = 8931861, d1 = 38, d2 = 35 Dl.O(d1) = 117636757,117636758,131437542,117636706,103506817,89412854,89412853,103506812,103506835,103506836,117636726,103506955,89412956,89412955,103506949,117636851,131437636,131154346,131154345,144385509,144660427,131437597,117636775,103506877,89412898,89135748,75390740,62474616,50876219,50876220,62474620,75390745,89135761,103224154,103506843,89412941,75651142,75651143,89412945,89412935,89412936,103506940,117636841,131437575,117636754,259579351,75651116,62705843,51075496,40933784,32155500,24571301,24571300,32155497,40933778,51075492,62705838,75651115,89412885,89412888,75651117,62705843,51075496,40933784,32155500,24571301,18130053,12855640,8742048,5691139,3540326,3540328,5627602,3496754,3496752,2136719,2136718,3585201,3540341,2107508,2107507,3540335,5680923,5680921,8726634,12833837,18100528,256066121,40883940,257711571 Dl.O(d2) = 202599470,208316730,213032588,216888008,220084138,222784309,265618255,228886255,230437866,231816787,233056787,234177864,266458853,236970907,237741633,238441606,239080469,239667447,266925773,241179457,241610623,242009532,242377318,242718519,243036273,243334209,267284679,244064706,267275574,241921618,241514456,241075109,240601852,274749596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16220023, s2 = 8931861, dlinesl.size( ) = 30 s1 = 11517221, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11517295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517295, s2 = 10594560, int(edited[s2]) = 0 s1 = 11517295, s2 = 10594560, d1 = 6, d2 = 6 Dl.O(d1) = 263936218,208130657,202368048,195513476,187497904,178287532,167850148,156261292,143734821,130409155,116569715,102471197,257000286,62038222,50546403,50546402,255511538,254807966,24299213,31812491,40508335,50543980,62035759,74832241,88465412,102468832 Dl.O(d2) = 263936218,208130657,202368048,195513476,187497904,178287532,167850148,156261292,143734821,130409155,116569715,102471197,257000286,62038222,50546403,50546402,255511538,254807966,24299213,31812491,40508335,50543980,62035759,74832241,88465412,102468832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517295, s2 = 10594560, dlinesl.size( ) = 2 s1 = 11517295, s2 = 10594560, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11517295, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11979230, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517727, s2 = 11376894, int(edited[s2]) = 0 s1 = 11517727, s2 = 11376894, d1 = 8, d2 = 10 Dl.O(d1) = 220153745 Dl.O(d2) = 264472514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517727, s2 = 11376894, dlinesl.size( ) = 14 s1 = 11517759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11517899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517899, s2 = 10597254, int(edited[s2]) = 0 s1 = 11517899, s2 = 10597254, d1 = 12, d2 = 7 Dl.O(d1) = 264996040,227206569 Dl.O(d2) = 233100276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517899, s2 = 10597254, dlinesl.size( ) = 14 s1 = 11979410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11518057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11518057, s2 = 11571546, int(edited[s2]) = 0 s1 = 11518057, s2 = 11571546, d1 = 7, d2 = 13 Dl.O(d1) = 265459955 Dl.O(d2) = 231457911,266235405,234228225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11518057, s2 = 11571546, dlinesl.size( ) = 14 s1 = 11518371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11518485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11518485, s2 = 11561846, int(edited[s2]) = 0 s1 = 11518485, s2 = 11561846, d1 = 1, d2 = 11 Dl.O(d1) = 223122618 Dl.O(d2) = 235294383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11518485, s2 = 11561846, dlinesl.size( ) = 18 s1 = 11518979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11518979, s2 = 11272296, int(edited[s2]) = 0 s1 = 11518979, s2 = 11272296, d1 = 45, d2 = 35 Dl.O(d1) = 264462242 Dl.O(d2) = 260511304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11518979, s2 = 11272296, dlinesl.size( ) = 60 s1 = 11519035, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8897228, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8897228, s2 = 14019152, int(edited[s2]) = 0 s1 = 8897228, s2 = 14019152, d1 = 86, d2 = 102 Dl.O(d1) = 234362028,233264417,232052522,230707356,229197830,227489760,225535897 Dl.O(d2) = 255956390,46950067,58317112,257000888,71033041,58317116,46950074,37070412,37070413,46950069,46950068,255956392,46950078,46950076,46950077,46950072,37070411,28568101,28568102,37070413,46950075,256456690,58317111,255956390,37070408,28568099,28568100,21340695,15366389,254248544,4404235,4120538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8897228, s2 = 14019152, dlinesl.size( ) = 2 s1 = 8897228, s2 = 14019152, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 8897228, Dl.E( ) = 106, 2.88e-05 seconds used appending s1 = 11519179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519179, s2 = 11450346, int(edited[s2]) = 0 s1 = 11519179, s2 = 11450346, d1 = 82, d2 = 164 Dl.O(d1) = 223290675 Dl.O(d2) = 112535972,112535966,112535967,263494389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519179, s2 = 11450346, dlinesl.size( ) = 12 s1 = 11519349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519349, s2 = 11242562, int(edited[s2]) = 0 s1 = 11519349, s2 = 11242562, d1 = 14, d2 = 13 Dl.O(d1) = 265064502,209622886,272321540,25767469,19127715,19127716,19080841,19080842,19080615,13622383,9327937,6110217,3823175,2290568,2290567,3823173,6110214,9327931,255276829,25707577,33481084,30788104,23362579,17093693,255532815,30788102,33481486,29009861,21723218,21723217,29009859,33480979,255681889,13622330,9327907,6110200,6110198,7724051,4889112,4889113,7724057,11602925,16633556,22859720,21723308,15678433,10854254,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603271,16634130,22860482,22860791,16634332,11603388,11603390,16634336,22860793,30256083,255718548,17039840,23300006,19880393,19880367,19880366,26405710,30254382,38838160,43379052,34280457,26405654,19671269,19671270,26405662,30675262,25314440,25314438,26406323,26406324,26404435,19670162,14100491,9698416,9698415,9113615,5962929,5962930,9113623,13338755,18737119,19670400,14100671,14100670,19670398,17020002,17020004,19671550,14101581,14101582,15413890,17176321,19880381,19880378,26701310,30254331,22859189,22859187,30254320,33042283,28559966,21333777,15360711,15360712,13338811,13338812,18737222,18737181,17176369,17176371,19671911,14101844,9699291,9699290,14101839,19671902,19671924,19671925,26406331,34281069,33042181,33042180,37523892,33042231,25314355,18737104,18737103,18737162,18737161,25314442,33042332,41986207,41986366,46939744 Dl.O(d2) = 256708664,21845333,29153954,28415970,21194012,15230430,10506286,10506287,15230433,21194016,268913667,18718847,25292644,33018378,25292636,25292637,33018380,36882885,33018367,25292632,24072021,17715665,12532380,8493861,8493862,12532382,17715672,24072036,31577781,40264923,41961050,33018340,25292605,18718824,13325017,9104492,5957323,5957324,9104496,13325021,18718838,24238025,24238022,21778271,15719202,15719201,21778268,29076165,32132267,32132266,37626991,33018415,25292662,25292663,28620889,21383904,21383902,15991124,11101071,11101070,15991121,18904521,25514589,27125495,35218713,40264894,31577751,24072013,23951958,23951959,31443560,31577780,31577779,39311669,31577747,256540245,50180284,40155275,40155274,258029429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519349, s2 = 11242562, dlinesl.size( ) = 8 s1 = 11519373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519373, s2 = 14099662, int(edited[s2]) = 0 s1 = 11519373, s2 = 14099662, d1 = 18, d2 = 14 Dl.O(d1) = 274067774,264671622,264112850,263414574 Dl.O(d2) = 147834590,134708143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519373, s2 = 14099662, dlinesl.size( ) = 2 s1 = 11519373, s2 = 14099662, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11519373, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11519759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519759, s2 = 10630224, int(edited[s2]) = 0 s1 = 11519759, s2 = 10630224, d1 = 2, d2 = 6 Dl.O(d1) = 223534073 Dl.O(d2) = 265793080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519759, s2 = 10630224, dlinesl.size( ) = 14 s1 = 13843902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519949, s2 = 11568390, int(edited[s2]) = 0 s1 = 11519949, s2 = 11568390, d1 = 1, d2 = 9 Dl.O(d1) = 223622171 Dl.O(d2) = 266071359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519949, s2 = 11568390, dlinesl.size( ) = 12 s1 = 8885417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11520133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520133, s2 = 11275122, int(edited[s2]) = 0 s1 = 11520133, s2 = 11275122, d1 = 23, d2 = 26 Dl.O(d1) = 221158620,264972822,264481668 Dl.O(d2) = 149857042,136714197,260552742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520133, s2 = 11275122, dlinesl.size( ) = 32 s1 = 11520137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13844180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11520241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520241, s2 = 10769878, int(edited[s2]) = 0 s1 = 11520241, s2 = 10769878, d1 = 18, d2 = 16 Dl.O(d1) = 274475292 Dl.O(d2) = 266250948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520241, s2 = 10769878, dlinesl.size( ) = 20 s1 = 11520263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11520479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520479, s2 = 14089468, int(edited[s2]) = 0 s1 = 11520479, s2 = 14089468, d1 = 4, d2 = 12 Dl.O(d1) = 264751676 Dl.O(d2) = 272204340,137304431,137304429,123572912,109381447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520479, s2 = 14089468, dlinesl.size( ) = 14 s1 = 11520543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520543, s2 = 14139429, int(edited[s2]) = 0 s1 = 11520543, s2 = 14139429, d1 = 1, d2 = 5 Dl.O(d1) = 223760624 Dl.O(d2) = 227577486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520543, s2 = 14139429, dlinesl.size( ) = 2 s1 = 11520543, s2 = 14139429, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11520543, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 11520561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520561, s2 = 11379668, int(edited[s2]) = 0 s1 = 11520561, s2 = 11379668, d1 = 15, d2 = 6 Dl.O(d1) = 221271970,264988276 Dl.O(d2) = 263896528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520561, s2 = 11379668, dlinesl.size( ) = 16 s1 = 11520685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520685, s2 = 11178878, int(edited[s2]) = 0 s1 = 11520685, s2 = 11178878, d1 = 45, d2 = 53 Dl.O(d1) = 221298455,264926129 Dl.O(d2) = 258536655,258536653,27072173,27072174,35158108,257916301,81185642,95240872,81185632,67720590,257316777,44534303,55380659,67720593,81185636,81185641,81185642,95240872,81185632,67720590,55380662,55380664,67720599,67720595,257316779,35158107,27072173,255334099,9960811,254473353,806823,457174,457175,806826,1418280,2453365,4101405,6539192,254472995,2451662,1417395,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,6544294,7173905,7173530,7173529,10850873,15674090,255856427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520685, s2 = 11178878, dlinesl.size( ) = 28 s1 = 11520709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520709, s2 = 7100499, int(edited[s2]) = 0 s1 = 11520709, s2 = 7100499, d1 = 19, d2 = 14 Dl.O(d1) = 221304707,218395205 Dl.O(d2) = 262582821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520709, s2 = 7100499, dlinesl.size( ) = 16 s1 = 11520819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520819, s2 = 11583828, int(edited[s2]) = 0 s1 = 11520819, s2 = 11583828, d1 = 13, d2 = 10 Dl.O(d1) = 265516163 Dl.O(d2) = 236445959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520819, s2 = 11583828, dlinesl.size( ) = 20 s1 = 11521121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521121, s2 = 10392766, int(edited[s2]) = 0 s1 = 11521121, s2 = 10392766, d1 = 11, d2 = 0 Dl.O(d1) = 221448835 Dl.O(d2) = 192375662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521121, s2 = 10392766, dlinesl.size( ) = 20 s1 = 11521169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521169, s2 = 11197796, int(edited[s2]) = 0 s1 = 11521169, s2 = 11197796, d1 = 14, d2 = 17 Dl.O(d1) = 272159198 Dl.O(d2) = 255356150,46356356,255780776,52633174,42247993,42247994,259038029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521169, s2 = 11197796, dlinesl.size( ) = 20 s1 = 11521211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521211, s2 = 11237486, int(edited[s2]) = 0 s1 = 11521211, s2 = 11237486, d1 = 31, d2 = 42 Dl.O(d1) = 265444082 Dl.O(d2) = 255001231,255002715,10323515,10323831,6792959,268063455,13731519,9406813,9406814,8338589,8338588,6163093,3856287,2310370,2310369,3856285,3304465,1944038,1110658,1110659,1944040,3304469,3711294,2222445,1289205,1289206,1289238,735988,418423,236199,236198,418420,735982,1289226,2220627,1288209,737792,419324,236615,130531,70753,70749,70766,70764,130568,236686,419459,738024,1293185,2229916,3724336,5955409,9101881,255012663,6865263,4308648,2576372,1483875,1483879,2576321,2576317,2229529,2229524,3723663,5954325,9100441,255003989,255003987,9102246,5955681,3724528,2230029,1293248,1293249,2230031,3724536,5931965,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,2679120,2679118,2759957,255438363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521211, s2 = 11237486, dlinesl.size( ) = 38 s1 = 13845242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8818797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11521271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521271, s2 = 14133596, int(edited[s2]) = 0 s1 = 11521271, s2 = 14133596, d1 = 3, d2 = 1 Dl.O(d1) = 265681418,211003670,205907610,199745840,263465763,174337522,263465765,199745841,205907612,205907608 Dl.O(d2) = 211003668,215168424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521271, s2 = 14133596, dlinesl.size( ) = 2 s1 = 11521271, s2 = 14133596, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11521271, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11521305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521305, s2 = 11550816, int(edited[s2]) = 0 s1 = 11521305, s2 = 11550816, d1 = 10, d2 = 12 Dl.O(d1) = 264873804 Dl.O(d2) = 265640794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521305, s2 = 11550816, dlinesl.size( ) = 18 s1 = 11521323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522131, s2 = 11446382, int(edited[s2]) = 0 s1 = 11522131, s2 = 11446382, d1 = 9, d2 = 10 Dl.O(d1) = 221701514 Dl.O(d2) = 264100922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522131, s2 = 11446382, dlinesl.size( ) = 14 s1 = 11522331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522399, s2 = 11570568, int(edited[s2]) = 0 s1 = 11522399, s2 = 11570568, d1 = 23, d2 = 22 Dl.O(d1) = 264967358 Dl.O(d2) = 233699243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522399, s2 = 11570568, dlinesl.size( ) = 20 s1 = 11522601, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11522625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522625, s2 = 11564234, int(edited[s2]) = 0 s1 = 11522625, s2 = 11564234, d1 = 19, d2 = 8 Dl.O(d1) = 265204752,226577167,274633896 Dl.O(d2) = 266302242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522625, s2 = 11564234, dlinesl.size( ) = 14 s1 = 9284671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9284671, s2 = 10446876, int(edited[s2]) = 0 s1 = 9284671, s2 = 10446876, d1 = 80, d2 = 132 Dl.O(d1) = 223926008 Dl.O(d2) = 8935225,254668426,255699936,32646858,41534502,51813712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9284671, s2 = 10446876, dlinesl.size( ) = 54 s1 = 15212889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522817, s2 = 11419954, int(edited[s2]) = 0 s1 = 11522817, s2 = 11419954, d1 = 27, d2 = 22 Dl.O(d1) = 221886129,219053953 Dl.O(d2) = 273550978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522817, s2 = 11419954, dlinesl.size( ) = 26 s1 = 15236859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11523109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11523187, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11523325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11523325, s2 = 11571126, int(edited[s2]) = 0 s1 = 11523325, s2 = 11571126, d1 = 5, d2 = 9 Dl.O(d1) = 265718323 Dl.O(d2) = 266425755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11523325, s2 = 11571126, dlinesl.size( ) = 8 s1 = 11523449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11523501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8819431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9611702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9611702, s2 = 7279043, int(edited[s2]) = 0 s1 = 9611702, s2 = 7279043, d1 = 10, d2 = 24 Dl.O(d1) = 274886415,239840550,239265752,266002512 Dl.O(d2) = 224049544,264906640,218723145,221589207,224049545,264906642,264105950,184480432,174868702,164050888,152173078,139449023,126078402,112222620,98244455,84337157,70778171,58060213,46686827,36802585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9611702, s2 = 7279043, dlinesl.size( ) = 2 s1 = 9611702, s2 = 7279043, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 9611702, Dl.E( ) = 52, 2.5e-05 seconds used appending s1 = 13848070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13848070, s2 = 5507037, int(edited[s2]) = 0 s1 = 13848070, s2 = 5507037, d1 = 19, d2 = 53 Dl.O(d1) = 231462363,231462365,231462364,232731330,231462367,230046036,265728896,222151443 Dl.O(d2) = 226633272,226633273,228449507,230046020,230046034,230046033,265728894,226633276,228449493,226633275,224549850,224549849,226633274,228449509,230046032,231462364,232731330,231462367,230046036,265728896,222151443,265003000,212062065,207177508,263919600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13848070, s2 = 5507037, dlinesl.size( ) = 8 s1 = 11524065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524065, s2 = 15102543, int(edited[s2]) = 0 s1 = 11524065, s2 = 15102543, d1 = 10, d2 = 12 Dl.O(d1) = 265004732 Dl.O(d2) = 256432290,37625280,37625278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524065, s2 = 15102543, dlinesl.size( ) = 14 s1 = 11524215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524215, s2 = 11412600, int(edited[s2]) = 0 s1 = 11524215, s2 = 11412600, d1 = 25, d2 = 0 Dl.O(d1) = 222201878,265129044 Dl.O(d2) = 176684934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524215, s2 = 11412600, dlinesl.size( ) = 26 s1 = 11524235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524235, s2 = 11269752, int(edited[s2]) = 0 s1 = 11524235, s2 = 11269752, d1 = 62, d2 = 93 Dl.O(d1) = 265732673 Dl.O(d2) = 141561648,257388458,100291422,256810212,114322002,100291418,256810210,257999094,154222905,270272426,128205224,114322004,100291420,100291419,114322001,128205222,134636775,120839681,120839680,128205225,258623164,259868024,259249296,141561648,257388458,100291416,100291417,114322001,128205221,114322002,100291418,256810210,257999092,134636778,120839688,120839687,134636772,257388464,258623168,134636771,134636770,147767237,134636771,120839676,106591316,106591315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524235, s2 = 11269752, dlinesl.size( ) = 14 s1 = 14136003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136003, s2 = 6715130, int(edited[s2]) = 0 s1 = 14136003, s2 = 6715130, d1 = 28, d2 = 26 Dl.O(d1) = 217604308,213941021,209478343,209478344,213941022,264781868 Dl.O(d2) = 204039344,204039346,197520746,262754384,159540225,147181579,133959356,120117469,259426988,77770789,64587946,256446184,33320041,25558049,18945130,16902388,11828558,7904931,7904930,5024835,3041481,3041482,5024839,4364492,4337583,2596792,1498010,848893,848894,1498014,2596806,4337608,6906092,10474050,15184715,13508154,9242493,9242495,10699700,10699699,12255088,17390799,17573856,17152505,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,6060534,6060533,9243193,9243192,10697359,9941537,6534096,4094102,2449391,2449390,4094095,4379778,6971825,6067002,6067001,9263010,13533031,18968463,25576511,18967760,13532171,9262215,6066419,3795600,3795598,6066414,9262206,13532163,18967754,17165348,12069120,10797761,10797759,15607208,13506778,255267199,25556452,33318477,42299178,52685869,64586470,77769410,271046181,120116175,133957982,133957983,133957984,139651516,126281444,112418595,257640832 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11981784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11524697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11524729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524729, s2 = 14090960, int(edited[s2]) = 0 s1 = 11524729, s2 = 14090960, d1 = 25, d2 = 29 Dl.O(d1) = 265333384 Dl.O(d2) = 154133656,141463747,128097999,259787010,86212894,99313715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524729, s2 = 14090960, dlinesl.size( ) = 24 s1 = 11525127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525127, s2 = 14147230, int(edited[s2]) = 0 s1 = 11525127, s2 = 14147230, d1 = 4, d2 = 9 Dl.O(d1) = 265407486 Dl.O(d2) = 265878478,232868282,266240256,232868281,232868282,234005629,235041870,235984851,236842947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525127, s2 = 14147230, dlinesl.size( ) = 8 s1 = 11525181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11525205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525205, s2 = 11482244, int(edited[s2]) = 0 s1 = 11525205, s2 = 11482244, d1 = 26, d2 = 0 Dl.O(d1) = 265593367,228649062,228649068,226858937,224805903 Dl.O(d2) = 207680603 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15767583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11525437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525437, s2 = 11485906, int(edited[s2]) = 0 s1 = 11525437, s2 = 11485906, d1 = 9, d2 = 0 Dl.O(d1) = 222510006,219767418,216518640,216518639,212601454 Dl.O(d2) = 207807627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525437, s2 = 11485906, dlinesl.size( ) = 2 s1 = 11525437, s2 = 11485906, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11525437, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 15775838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15775838, s2 = 9295175, int(edited[s2]) = 0 s1 = 15775838, s2 = 9295175, d1 = 4, d2 = 6 Dl.O(d1) = 129845100,115945347,101899290,87925337,74322314,74322315,87925335,101899288,115945344,261292979,155730297,167364630,177861455,263975783,264286255,212684623,216591458,219830342,222564095 Dl.O(d2) = 226951939,228730651,230296518,231689029,232940312,234073089,235104249,236041525,236893810,237669321,238373430,239015057,239605287,240151138,240656854,267056525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15775838, s2 = 9295175, dlinesl.size( ) = 2 s1 = 15775838, s2 = 9295175, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15775838, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13849662, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11525883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525883, s2 = 11385706, int(edited[s2]) = 0 s1 = 11525883, s2 = 11385706, d1 = 14, d2 = 11 Dl.O(d1) = 265046118 Dl.O(d2) = 262822990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525883, s2 = 11385706, dlinesl.size( ) = 14 s1 = 13849830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11525965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525965, s2 = 11500722, int(edited[s2]) = 0 s1 = 11525965, s2 = 11500722, d1 = 19, d2 = 12 Dl.O(d1) = 224961850,226996840,274357262,228771580,229622746,265746898 Dl.O(d2) = 265334630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525965, s2 = 11500722, dlinesl.size( ) = 20 s1 = 11526011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526161, s2 = 11581218, int(edited[s2]) = 0 s1 = 11526161, s2 = 11581218, d1 = 15, d2 = 13 Dl.O(d1) = 265609943,228808218,266151669 Dl.O(d2) = 266538603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526161, s2 = 11581218, dlinesl.size( ) = 20 s1 = 11526241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526241, s2 = 14112881, int(edited[s2]) = 0 s1 = 11526241, s2 = 14112881, d1 = 28, d2 = 23 Dl.O(d1) = 265054332 Dl.O(d2) = 262840304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526241, s2 = 14112881, dlinesl.size( ) = 54 s1 = 11526295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526295, s2 = 6935984, int(edited[s2]) = 0 s1 = 11526295, s2 = 6935984, d1 = 3, d2 = 46 Dl.O(d1) = 225034936 Dl.O(d2) = 271076163,260311678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526295, s2 = 6935984, dlinesl.size( ) = 58 s1 = 11526349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526349, s2 = 11509442, int(edited[s2]) = 0 s1 = 11526349, s2 = 11509442, d1 = 21, d2 = 0 Dl.O(d1) = 265612937,264904197 Dl.O(d2) = 198650811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526349, s2 = 11509442, dlinesl.size( ) = 8 s1 = 11526389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526389, s2 = 11586794, int(edited[s2]) = 0 s1 = 11526389, s2 = 11586794, d1 = 0, d2 = 25 Dl.O(d1) = 225050331 Dl.O(d2) = 235171746,234149495,234149494,235171744,236102210,236102213,235171748,235171747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526389, s2 = 11586794, dlinesl.size( ) = 30 s1 = 7354408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7354408, s2 = 382292, int(edited[s2]) = 0 s1 = 7354408, s2 = 382292, d1 = 70, d2 = 76 Dl.O(d1) = 265765602,228392372,229994889,229994886,229994887 Dl.O(d2) = 44363553,42882805,33839422,26019989,19344644,13834978,9489605,6421095,6421093,9622910,9765958,6421083,6421080,9622910,9765958,6421083,6421080,9622912,9622566,7703010,7703008,254307292,29979073,38548010,35110397,27024133,27024132,20132194,14439036,9932417,6527721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7354408, s2 = 382292, dlinesl.size( ) = 2 s1 = 7354408, s2 = 382292, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 7354408, Dl.E( ) = 78, 2.31e-05 seconds used appending s1 = 11526665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526741, s2 = 10574793, int(edited[s2]) = 0 s1 = 11526741, s2 = 10574793, d1 = 16, d2 = 27 Dl.O(d1) = 265621055 Dl.O(d2) = 230461981,274610059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526903, s2 = 11459584, int(edited[s2]) = 0 s1 = 11526903, s2 = 11459584, d1 = 13, d2 = 0 Dl.O(d1) = 274296273 Dl.O(d2) = 187523297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526903, s2 = 11459584, dlinesl.size( ) = 14 s1 = 16256153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16256153, s2 = 9735051, int(edited[s2]) = 0 s1 = 16256153, s2 = 9735051, d1 = 10, d2 = 77 Dl.O(d1) = 36803547 Dl.O(d2) = 2415586,4030997,3837836,3837839,6134284,9364841,13674994,255687195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16256153, s2 = 9735051, dlinesl.size( ) = 32 s1 = 15954375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527101, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11527165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527219, s2 = 11429446, int(edited[s2]) = 0 s1 = 11527219, s2 = 11429446, d1 = 12, d2 = 18 Dl.O(d1) = 274461002 Dl.O(d2) = 274315444,173559983,162526897,150396248,137354717,123622408,109428702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527219, s2 = 11429446, dlinesl.size( ) = 20 s1 = 11527239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527239, s2 = 11410100, int(edited[s2]) = 0 s1 = 11527239, s2 = 11410100, d1 = 8, d2 = 4 Dl.O(d1) = 265296290 Dl.O(d2) = 213598228,217328614,217328611,213598226,209043258,203493624,196866444,189122138,180179985,170013428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527239, s2 = 11410100, dlinesl.size( ) = 12 s1 = 11527435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527435, s2 = 11611024, int(edited[s2]) = 0 s1 = 11527435, s2 = 11611024, d1 = 6, d2 = 4 Dl.O(d1) = 265634539 Dl.O(d2) = 235299541,274760821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527435, s2 = 11611024, dlinesl.size( ) = 14 s1 = 11508909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508909, s2 = 11527570, int(edited[s2]) = 0 s1 = 11508909, s2 = 11527570, d1 = 1, d2 = 2 Dl.O(d1) = 220564738 Dl.O(d2) = 221298414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508909, s2 = 11527570, dlinesl.size( ) = 5 s1 = 11527569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527569, s2 = 11508910, int(edited[s2]) = 0 s1 = 11527569, s2 = 11508910, d1 = 4, d2 = 0 Dl.O(d1) = 223178907 Dl.O(d2) = 218389008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527569, s2 = 11508910, dlinesl.size( ) = 5 s1 = 11527623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527623, s2 = 10987608, int(edited[s2]) = 0 s1 = 11527623, s2 = 10987608, d1 = 8, d2 = 10 Dl.O(d1) = 265316054,180248275 Dl.O(d2) = 262530868,146351385,268515754,9016052,5886455,5886457,3774755,2709130,2709127,2263070,1313021,1313022,2263121,2263088,2263089,2262590,2262594,3777028,6037353,9219965,13478603,18910083,257205237,64544653,257904208,62511098,75429744,89176792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527623, s2 = 10987608, dlinesl.size( ) = 14 s1 = 11527647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527647, s2 = 15121171, int(edited[s2]) = 0 s1 = 11527647, s2 = 15121171, d1 = 6, d2 = 6 Dl.O(d1) = 223194310,220582363,264870750,203869053,263715920,136354412,122370363 Dl.O(d2) = 223194310,220582363,264870750,203869053,263715920,136354412,122370363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527647, s2 = 15121171, dlinesl.size( ) = 2 s1 = 11527647, s2 = 15121171, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11527647, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 14211740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14211740, s2 = 5092650, int(edited[s2]) = 0 s1 = 14211740, s2 = 5092650, d1 = 11, d2 = 0 Dl.O(d1) = 228070979 Dl.O(d2) = 211660713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211740, s2 = 5092650, dlinesl.size( ) = 2 s1 = 14211740, s2 = 5092650, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14211740, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 11528341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528341, s2 = 10708664, int(edited[s2]) = 0 s1 = 11528341, s2 = 10708664, d1 = 14, d2 = 16 Dl.O(d1) = 223388543,220804822,217770410,214135234,209707844,204310123,263357864 Dl.O(d2) = 181457282,171439848,160220989,147969682,134848097,121048333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528341, s2 = 10708664, dlinesl.size( ) = 8 s1 = 11528429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11528881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528881, s2 = 11480234, int(edited[s2]) = 0 s1 = 11528881, s2 = 11480234, d1 = 7, d2 = 15 Dl.O(d1) = 266187703 Dl.O(d2) = 265989302,265554496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528881, s2 = 11480234, dlinesl.size( ) = 18 s1 = 11528903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528903, s2 = 11403636, int(edited[s2]) = 0 s1 = 11528903, s2 = 11403636, d1 = 12, d2 = 15 Dl.O(d1) = 223646998 Dl.O(d2) = 262550671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528903, s2 = 11403636, dlinesl.size( ) = 30 s1 = 11529139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529139, s2 = 11430938, int(edited[s2]) = 0 s1 = 11529139, s2 = 11430938, d1 = 18, d2 = 16 Dl.O(d1) = 264916350 Dl.O(d2) = 264120142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529139, s2 = 11430938, dlinesl.size( ) = 20 s1 = 11529183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529183, s2 = 11592676, int(edited[s2]) = 0 s1 = 11529183, s2 = 11592676, d1 = 0, d2 = 9 Dl.O(d1) = 225880357 Dl.O(d2) = 234506396,266566247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529183, s2 = 11592676, dlinesl.size( ) = 24 s1 = 11529339, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11529361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529361, s2 = 11393732, int(edited[s2]) = 0 s1 = 11529361, s2 = 11393732, d1 = 23, d2 = 8 Dl.O(d1) = 274254173,210670131,210670130 Dl.O(d2) = 199420691,263027548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529361, s2 = 11393732, dlinesl.size( ) = 16 s1 = 15764479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11529725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529725, s2 = 11438440, int(edited[s2]) = 0 s1 = 11529725, s2 = 11438440, d1 = 26, d2 = 5 Dl.O(d1) = 223843388,221355895,218451757,214994837,210791925 Dl.O(d2) = 192545520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529725, s2 = 11438440, dlinesl.size( ) = 18 s1 = 8802262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11529897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529897, s2 = 7281600, int(edited[s2]) = 0 s1 = 11529897, s2 = 7281600, d1 = 38, d2 = 55 Dl.O(d1) = 265681699 Dl.O(d2) = 264938417,210950190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529897, s2 = 7281600, dlinesl.size( ) = 24 s1 = 11529903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11529957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11530093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11530093, s2 = 13984330, int(edited[s2]) = 0 s1 = 11530093, s2 = 13984330, d1 = 18, d2 = 7 Dl.O(d1) = 226096533,227962112,265965689,232364316,233546223,233546218,232364309,232364310,266307777,234620914,266202989,231057229,231057230,232364314,266404751,266575048,234620912,266307771 Dl.O(d2) = 234620901,266649651,266782787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11530093, s2 = 13984330, dlinesl.size( ) = 14 s1 = 11530255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11530255, s2 = 10487096, int(edited[s2]) = 0 s1 = 11530255, s2 = 10487096, d1 = 0, d2 = 21 Dl.O(d1) = 226127166 Dl.O(d2) = 234838475,266238288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11530255, s2 = 10487096, dlinesl.size( ) = 22 s1 = 11530265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11530265, s2 = 11400682, int(edited[s2]) = 0 s1 = 11530265, s2 = 11400682, d1 = 24, d2 = 17 Dl.O(d1) = 265968031,228364803,226536394,226536386,226536387 Dl.O(d2) = 228364800,265563434,222022585,222022584,224438041,226536387,226536388,224438042,222022585,274193617,264217944,200942615,264217946,273350686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11530265, s2 = 11400682, dlinesl.size( ) = 24 s1 = 15776857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11530511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11530539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11530539, s2 = 12653300, int(edited[s2]) = 0 s1 = 11530539, s2 = 12653300, d1 = 11, d2 = 12 Dl.O(d1) = 225402679 Dl.O(d2) = 264864222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11530539, s2 = 12653300, dlinesl.size( ) = 14 s1 = 10748906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10748906, s2 = 11531188, int(edited[s2]) = 0 s1 = 10748906, s2 = 11531188, d1 = 21, d2 = 18 Dl.O(d1) = 264732202,264732200,221210078,274391117 Dl.O(d2) = 265177292,264732208,214805479,210576245,264184866,221210078,265177290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10748906, s2 = 11531188, dlinesl.size( ) = 2 s1 = 10748906, s2 = 11531188, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 10748906, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 8872032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531469, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11531685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531685, s2 = 11399218, int(edited[s2]) = 0 s1 = 11531685, s2 = 11399218, d1 = 14, d2 = 19 Dl.O(d1) = 224319056 Dl.O(d2) = 215706094,211653341,206695465,200694721,263521518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531685, s2 = 11399218, dlinesl.size( ) = 14 s1 = 11531899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531899, s2 = 11513556, int(edited[s2]) = 0 s1 = 11531899, s2 = 11513556, d1 = 5, d2 = 15 Dl.O(d1) = 224359798,224359797 Dl.O(d2) = 215763791,211718284,206768141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531899, s2 = 11513556, dlinesl.size( ) = 16 s1 = 11531961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531961, s2 = 11477348, int(edited[s2]) = 0 s1 = 11531961, s2 = 11477348, d1 = 9, d2 = 16 Dl.O(d1) = 224373938,265193425 Dl.O(d2) = 264208219,193707575,185431415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531961, s2 = 11477348, dlinesl.size( ) = 18 s1 = 11532517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11532517, s2 = 11558362, int(edited[s2]) = 0 s1 = 11532517, s2 = 11558362, d1 = 9, d2 = 18 Dl.O(d1) = 265725239 Dl.O(d2) = 274715756,236721876,235881912,234930793,233886466,232740414,231472575,265512120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11532517, s2 = 11558362, dlinesl.size( ) = 20 s1 = 11532539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11532539, s2 = 11489408, int(edited[s2]) = 0 s1 = 11532539, s2 = 11489408, d1 = 6, d2 = 10 Dl.O(d1) = 226593375 Dl.O(d2) = 265141576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11532539, s2 = 11489408, dlinesl.size( ) = 8 s1 = 7200317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13856762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11533311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533311, s2 = 10383895, int(edited[s2]) = 0 s1 = 11533311, s2 = 10383895, d1 = 40, d2 = 59 Dl.O(d1) = 224674316 Dl.O(d2) = 4990198,3014302,1750996,1750997,3014304,4990203,7862142,11775638,12173120,254580170,15745050,15745049,21806058,16349799,11377186,7558580,4779590,4779589,7557617,7557616,4780408,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915500,7312266,7312265,8978204,8978206,11369714,7553455,7553456,11316274,7525572,7525574,7211947,7211951,7301004,7301000,11026758,11375156,11375158,16347530,16348215,16348214,22521410,27017498,27017500,29306950,254265810,38426417,29878932,22522426,16349251,16349253,22522427,29878935,27015353,27015354,22515773,254532232,254582586,23567360,23567358,23629858,22006910,15906056,15906057,22006913,20125270,20125269,15913616,267771586,12217118,16339642,11368827,11368829,16339644,16350416,16493983,14432480,13330534,13330535,9108498,9108497,13330745,9928215,6524937,6524938,9928220,14430768,9926528,9926527,14430762,20122373,23569427,17258118,17258117,12215287,8245595,5317221,3266194,3266195,5317225,8245600,12215299,17341665,23569529 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533311, s2 = 10383895, dlinesl.size( ) = 24 s1 = 7031558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10852401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11533515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533515, s2 = 11195270, int(edited[s2]) = 0 s1 = 11533515, s2 = 11195270, d1 = 10, d2 = 11 Dl.O(d1) = 224732681,265783044,264758283 Dl.O(d2) = 259631860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533515, s2 = 11195270, dlinesl.size( ) = 14 s1 = 11533643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533643, s2 = 11598804, int(edited[s2]) = 0 s1 = 11533643, s2 = 11598804, d1 = 6, d2 = 12 Dl.O(d1) = 226830444 Dl.O(d2) = 231600564,232857135,274798285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533643, s2 = 11598804, dlinesl.size( ) = 18 s1 = 11533797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533797, s2 = 14139344, int(edited[s2]) = 0 s1 = 11533797, s2 = 14139344, d1 = 17, d2 = 20 Dl.O(d1) = 265747813 Dl.O(d2) = 274483383,265484530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533797, s2 = 14139344, dlinesl.size( ) = 20 s1 = 11533917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533917, s2 = 11992794, int(edited[s2]) = 0 s1 = 11533917, s2 = 11992794, d1 = 17, d2 = 19 Dl.O(d1) = 226878777,228665798 Dl.O(d2) = 230237425,266021021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533917, s2 = 11992794, dlinesl.size( ) = 24 s1 = 11534033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534033, s2 = 11478606, int(edited[s2]) = 0 s1 = 11534033, s2 = 11478606, d1 = 13, d2 = 3 Dl.O(d1) = 224856968 Dl.O(d2) = 216502290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534033, s2 = 11478606, dlinesl.size( ) = 14 s1 = 11534303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534303, s2 = 10678963, int(edited[s2]) = 0 s1 = 11534303, s2 = 10678963, d1 = 25, d2 = 18 Dl.O(d1) = 274524934,266146801,266357289 Dl.O(d2) = 266731722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534303, s2 = 10678963, dlinesl.size( ) = 40 s1 = 11534321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534321, s2 = 11120456, int(edited[s2]) = 0 s1 = 11534321, s2 = 11120456, d1 = 76, d2 = 72 Dl.O(d1) = 265757571,230312087,228747530,226970706,274477441,266027723,232953857,232953856,231703520,265898473,226970665,224932765,222586474,219854561,216617061,212711195,207933254,207933255,212711198,216617064,219854569,222586486,224932784,224932795,226970700,265898479,230312021,230312117,265757581,226970682,224932776,222586480,222586479,224932775,224932777,224932797,222586494,219854574,216617067,264567891,207933256,212711200,216617072,274292003,265603645,222586480,222586479,224932774,226970680,228747503,230312050,231703510,231703587,231703519,230312024,265898475,222586476,219854563,216617061,212711195,207933254,207933255,212711198,216617064,219854569,222586486,224932784,222586493,219854574,216617067,264567891,207933256,212711201,216617074,219854585,222586511,224932820,226970725,228747559,230312014,231703504,266146999,231703525,230312101,230312102,230312108,230312118,265757581,226970682,224932776,222586480,219854567,216617063,216617062,219854565,222586477,224932770,226970672,228747492,228747522,228747521,230312072,231703551,231703544,230312055,265757569,224932779,222586482,222586481,224932777,226970683,274423233,265603647,228747519,266027715,230312031,230312038,231703528,232953862,232953874,231703577,230312105,265757577,224932811,224932810,226970712 Dl.O(d2) = 23930385,23930384,23930383,31420566,40100572,259513071,260724385,272175551,270802429,70892210,258202834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534321, s2 = 11120456, dlinesl.size( ) = 18 s1 = 11534401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534401, s2 = 11561910, int(edited[s2]) = 0 s1 = 11534401, s2 = 11561910, d1 = 4, d2 = 9 Dl.O(d1) = 226988488 Dl.O(d2) = 265250113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534401, s2 = 11561910, dlinesl.size( ) = 12 s1 = 11534589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534589, s2 = 10777693, int(edited[s2]) = 0 s1 = 11534589, s2 = 10777693, d1 = 71, d2 = 44 Dl.O(d1) = 265763021,265983822,265705608,218963532 Dl.O(d2) = 256342077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534589, s2 = 10777693, dlinesl.size( ) = 50 s1 = 11534679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535043, s2 = 11541282, int(edited[s2]) = 0 s1 = 11535043, s2 = 11541282, d1 = 6, d2 = 12 Dl.O(d1) = 227129197 Dl.O(d2) = 230441506,231820197,233059911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535043, s2 = 11541282, dlinesl.size( ) = 14 s1 = 11535089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535089, s2 = 11473042, int(edited[s2]) = 0 s1 = 11535089, s2 = 11473042, d1 = 2, d2 = 1 Dl.O(d1) = 265623436 Dl.O(d2) = 213072328,213072329,264318569,195874635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535089, s2 = 11473042, dlinesl.size( ) = 2 s1 = 11535089, s2 = 11473042, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11535089, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 8896038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8896038, s2 = 7423960, int(edited[s2]) = 0 s1 = 8896038, s2 = 7423960, d1 = 18, d2 = 33 Dl.O(d1) = 266370240,235229000,235228997 Dl.O(d2) = 234214632,233098298,233098299,234214634,235229001,236152116,266043948,234489424,266043950,235477725,234489433,233403738,232208650,230884849,229407607,229407608,230884853,232208654,233403742,234489437,235477730,235477725,234489433,233403738,232208650,230884849,229407607,229407608,230884852,265623952,265915602,235477726,234489433,233403738,266043952,274764737,236775353,266511808,234962017,266522619,266674301,266913393,240076266,274847828,238926856,238276781,237562474,236775353,266511808,274632238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8896038, s2 = 7423960, dlinesl.size( ) = 36 s1 = 12359404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5589215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535825, s2 = 14111958, int(edited[s2]) = 0 s1 = 11535825, s2 = 14111958, d1 = 37, d2 = 0 Dl.O(d1) = 265409004,265220374,265086669,223148817,220530544,265013012,265086671,217453492,213765425,209271213,203793015,197231386,189538677,189538676,197231384,264348923 Dl.O(d2) = 146780866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535825, s2 = 14111958, dlinesl.size( ) = 2 s1 = 11535825, s2 = 14111958, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11535825, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 10596584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10596584, s2 = 12841587, int(edited[s2]) = 0 s1 = 10596584, s2 = 12841587, d1 = 2, d2 = 0 Dl.O(d1) = 22362092,29718189,38284780,40862074,46512238,36644621,32052013,24486445,18063280,18063281,15076720,15076721,20990006,28170712,29280834,21955981,15864240,15864241,21955988,17534732,13192617,8993527,5871709,5871710,8684366,5651245,5651246,8684370,12776032,18025709,24441626,32000490,39924830,31249196,31249195,39924829,40029274,50049256,61528545,74305933,87909659,101883854,115930102,129829847,129829846,143161571,155715433,167350006,261429370,177847114,187120349,195193008,202094192,263714182,273923290,222558473,219823632,219823633,222558474,224907152,226946840,228725010,226946813,226946814,228725012,228724989,228724990,230289887,231681002,232931502,234064352,232931439,266054344,266054350,274614466,234064396,232931556,231681099,231681098,231680915,231680916,232931434,232931470,231680958,230289808,228724933,228724936,230289800,231680944,230289935,228725042,228725044,230289942,231681087,230289967,228725059,226946843,226946842,228724982,230289873,230289926,230289923,228725028,228725027,230289921,231681073,231681057,231681037,231680927,231680928,232931443,234064359,235096806,235096819,236035979,236035980,236035977,235096815,234064372,232931490,231680988,265472924,226946776,228724957,265638112,230289946,231681094,232931551,232931428,231680913,231680914,232931430,232931467,231680955,230289808,228724933,228724936,230289800,231680944,230289935,228725042,228725044,230289942,231681087,230289967,228725059,226946843,226946842,228724982,230289873,228725030,228725029,230289902,231680922,230289778,274309194,226946752,228724915,230289776,265290832,226946797 Dl.O(d2) = 266171656,234064398,265927492,231681112,231681111,232931567,232931545,231681078,231681079,231681060,265789018,232931520,231681023,231681022,265927506,266171652,234064336,232931425,231680913,231680914,232931430,232931467,231680955,230289808,228724933,226946760,224907113,224907114,226946765,228724940,230289814,231680965,231681112,231681111,232931567,232931545,231681078,231681079,231681060,265789018,232931520,231681023,231681022,265927506,266171652,234064336,232931425,231680913,231680914,232931430,232931467,231680955,230289808,228724933,226946760,224907113,222558456,222558457,224907115,226946766,228724941,230289818,231680971,231680972,265927494,265825732,227953928,226087497,223944303,221468956,218580017,215147779,210980169,205880480,264140572,205880482,199714519,192424719,183957801,174295204,163447115,151564064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10596584, s2 = 12841587, dlinesl.size( ) = 2 s1 = 10596584, s2 = 12841587, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 10596584, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 11536233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15952214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11985884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11536329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11536383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536383, s2 = 11578798, int(edited[s2]) = 0 s1 = 11536383, s2 = 11578798, d1 = 12, d2 = 3 Dl.O(d1) = 265796141 Dl.O(d2) = 232052948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536383, s2 = 11578798, dlinesl.size( ) = 12 s1 = 11536893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536893, s2 = 11206334, int(edited[s2]) = 0 s1 = 11536893, s2 = 11206334, d1 = 10, d2 = 11 Dl.O(d1) = 266290871 Dl.O(d2) = 273842256,154215319,259264300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536893, s2 = 11206334, dlinesl.size( ) = 18 s1 = 11537071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537071, s2 = 11452190, int(edited[s2]) = 0 s1 = 11537071, s2 = 11452190, d1 = 12, d2 = 0 Dl.O(d1) = 265557554 Dl.O(d2) = 191393871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537071, s2 = 11452190, dlinesl.size( ) = 14 s1 = 11537137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537137, s2 = 14150388, int(edited[s2]) = 0 s1 = 11537137, s2 = 14150388, d1 = 9, d2 = 15 Dl.O(d1) = 265947165 Dl.O(d2) = 236362538,237187222,274755696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537137, s2 = 14150388, dlinesl.size( ) = 16 s1 = 11537167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537167, s2 = 5626105, int(edited[s2]) = 0 s1 = 11537167, s2 = 5626105, d1 = 1, d2 = 8 Dl.O(d1) = 227724625 Dl.O(d2) = 230056001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537167, s2 = 5626105, dlinesl.size( ) = 18 s1 = 11537491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537491, s2 = 5157733, int(edited[s2]) = 0 s1 = 11537491, s2 = 5157733, d1 = 32, d2 = 38 Dl.O(d1) = 274571038,225806212 Dl.O(d2) = 214656658,210389398,273902572,273411186,53823526,43298324,34200255,26327073,19599901,14043907,254676097,3984064,2387790,1382281,254115477,40812,22415,12454,6863,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864,6860,12449,12298,6864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537491, s2 = 5157733, dlinesl.size( ) = 40 s1 = 11537715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537715, s2 = 11268098, int(edited[s2]) = 0 s1 = 11537715, s2 = 11268098, d1 = 24, d2 = 16 Dl.O(d1) = 264425584,263804660 Dl.O(d2) = 260405734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537715, s2 = 11268098, dlinesl.size( ) = 26 s1 = 11537855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537855, s2 = 14124822, int(edited[s2]) = 0 s1 = 11537855, s2 = 14124822, d1 = 9, d2 = 6 Dl.O(d1) = 225979473,223821258,221331694,221331693 Dl.O(d2) = 221331686,221331685,221331684,221331688,265336636,221331691,218425532,273961384,205611723,199387149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537855, s2 = 14124822, dlinesl.size( ) = 10 s1 = 11537891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537891, s2 = 15002121, int(edited[s2]) = 0 s1 = 11537891, s2 = 15002121, d1 = 18, d2 = 0 Dl.O(d1) = 265339685,218436572 Dl.O(d2) = 173720620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537891, s2 = 15002121, dlinesl.size( ) = 2 s1 = 11537891, s2 = 15002121, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11537891, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 11538077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538077, s2 = 11604304, int(edited[s2]) = 0 s1 = 11538077, s2 = 11604304, d1 = 11, d2 = 13 Dl.O(d1) = 265963007 Dl.O(d2) = 266717849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538077, s2 = 11604304, dlinesl.size( ) = 14 s1 = 11538137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538137, s2 = 11374766, int(edited[s2]) = 0 s1 = 11538137, s2 = 11374766, d1 = 13, d2 = 1 Dl.O(d1) = 226075740 Dl.O(d2) = 199680407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538137, s2 = 11374766, dlinesl.size( ) = 18 s1 = 11538433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538433, s2 = 10751673, int(edited[s2]) = 0 s1 = 11538433, s2 = 10751673, d1 = 13, d2 = 4 Dl.O(d1) = 265835581 Dl.O(d2) = 234645741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538433, s2 = 10751673, dlinesl.size( ) = 24 s1 = 11538953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538953, s2 = 11539638, int(edited[s2]) = 0 s1 = 11538953, s2 = 11539638, d1 = 10, d2 = 4 Dl.O(d1) = 264483714 Dl.O(d2) = 221862407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538953, s2 = 11539638, dlinesl.size( ) = 16 s1 = 11539375, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11539451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11539995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11539995, s2 = 6898594, int(edited[s2]) = 0 s1 = 11539995, s2 = 6898594, d1 = 27, d2 = 25 Dl.O(d1) = 265384051 Dl.O(d2) = 259874119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11539995, s2 = 6898594, dlinesl.size( ) = 22 s1 = 11540131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540173, s2 = 11348698, int(edited[s2]) = 0 s1 = 11540173, s2 = 11348698, d1 = 6, d2 = 8 Dl.O(d1) = 265134338 Dl.O(d2) = 262566802,165368798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540173, s2 = 11348698, dlinesl.size( ) = 14 s1 = 11540259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7344116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540475, s2 = 10596122, int(edited[s2]) = 0 s1 = 11540475, s2 = 10596122, d1 = 25, d2 = 29 Dl.O(d1) = 226571128 Dl.O(d2) = 228395270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540475, s2 = 10596122, dlinesl.size( ) = 36 s1 = 11540697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540697, s2 = 11586084, int(edited[s2]) = 0 s1 = 11540697, s2 = 11586084, d1 = 12, d2 = 5 Dl.O(d1) = 266003099,266235237 Dl.O(d2) = 235870743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540697, s2 = 11586084, dlinesl.size( ) = 14 s1 = 11540753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540753, s2 = 8856520, int(edited[s2]) = 0 s1 = 11540753, s2 = 8856520, d1 = 3, d2 = 12 Dl.O(d1) = 265525292 Dl.O(d2) = 265539969,228127376,229753752,231196898,231196894,265935170,226274235,226274236,224145182,221690191,265539969,228127377,228127379,228127375,226274233,226274234,228127368,265647444,221690190,224145179,226274234,226274230,226274231,228127371,229753749,231196893,232491323,232491327,231196899,231196900,229753754,228127378,226274237,274459285,226274231,228127371,229753748,231196892,265935170,228127372,265647444,221690190,224145180,226274236,224145182,221690191,265102394,264639378,264068636,184752806,175178677,164389560,152525665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540753, s2 = 8856520, dlinesl.size( ) = 12 s1 = 11540967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540967, s2 = 11493182, int(edited[s2]) = 0 s1 = 11540967, s2 = 11493182, d1 = 5, d2 = 0 Dl.O(d1) = 226678888 Dl.O(d2) = 212132712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540967, s2 = 11493182, dlinesl.size( ) = 12 s1 = 11541105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11987580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541235, s2 = 14145134, int(edited[s2]) = 0 s1 = 11541235, s2 = 14145134, d1 = 0, d2 = 73 Dl.O(d1) = 226740553,228545312,230132018,231540822,232803645,233945265,234985589,234985590,235932414 Dl.O(d2) = 232803641,232803640,231540819,230132017,230132018,231540822,232803645,233945265,234985598,234985587,233945259,232803638,232803639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541235, s2 = 14145134, dlinesl.size( ) = 68 s1 = 11541287, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11541339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541339, s2 = 7166490, int(edited[s2]) = 0 s1 = 11541339, s2 = 7166490, d1 = 16, d2 = 8 Dl.O(d1) = 265414249,219546803,219546804,219546808 Dl.O(d2) = 263484078,154808872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541339, s2 = 7166490, dlinesl.size( ) = 14 s1 = 11541545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541545, s2 = 10651260, int(edited[s2]) = 0 s1 = 11541545, s2 = 10651260, d1 = 27, d2 = 28 Dl.O(d1) = 228622482,230199255,266528455 Dl.O(d2) = 266828843,238562966,237873967,237873966,238323720,237613642,237613643,238323722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11541789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541789, s2 = 11581364, int(edited[s2]) = 0 s1 = 11541789, s2 = 11581364, d1 = 7, d2 = 12 Dl.O(d1) = 266020893 Dl.O(d2) = 274671942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541789, s2 = 11581364, dlinesl.size( ) = 16 s1 = 13889321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542487, s2 = 11570418, int(edited[s2]) = 0 s1 = 11542487, s2 = 11570418, d1 = 7, d2 = 7 Dl.O(d1) = 228803683,230364023,231750435,232996087,234122900,234122899 Dl.O(d2) = 228803683,230364023,231750435,232996087,234122900,234122899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542487, s2 = 11570418, dlinesl.size( ) = 2 s1 = 11542487, s2 = 11570418, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11542487, Dl.E( ) = 8, 2e-05 seconds used appending s1 = 11542865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542955, s2 = 7709033, int(edited[s2]) = 0 s1 = 11542955, s2 = 7709033, d1 = 1, d2 = 22 Dl.O(d1) = 228904580 Dl.O(d2) = 266585068,235769495,234807151,233751548,232592109,231308794,229876989,228264641,226428013,224319079,221889217,219058045,215706124,273334750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542955, s2 = 7709033, dlinesl.size( ) = 20 s1 = 11542985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542985, s2 = 10524508, int(edited[s2]) = 0 s1 = 11542985, s2 = 10524508, d1 = 24, d2 = 35 Dl.O(d1) = 265243356 Dl.O(d2) = 213154973,264561476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542985, s2 = 10524508, dlinesl.size( ) = 26 s1 = 11543081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543081, s2 = 11234346, int(edited[s2]) = 0 s1 = 11543081, s2 = 11234346, d1 = 30, d2 = 49 Dl.O(d1) = 227200263,225199846,225199845,274324416 Dl.O(d2) = 217069468,213270091,208626677,202976661,271118230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543081, s2 = 11234346, dlinesl.size( ) = 58 s1 = 11543171, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11543231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543231, s2 = 11458848, int(edited[s2]) = 0 s1 = 11543231, s2 = 11458848, d1 = 10, d2 = 13 Dl.O(d1) = 265431026 Dl.O(d2) = 202054984,195148091,263310988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543231, s2 = 11458848, dlinesl.size( ) = 14 s1 = 11543379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543379, s2 = 11549718, int(edited[s2]) = 0 s1 = 11543379, s2 = 11549718, d1 = 20, d2 = 16 Dl.O(d1) = 266048435,233155974 Dl.O(d2) = 266154506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543379, s2 = 11549718, dlinesl.size( ) = 26 s1 = 11543433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543433, s2 = 14067058, int(edited[s2]) = 0 s1 = 11543433, s2 = 14067058, d1 = 1, d2 = 1 Dl.O(d1) = 227327177,229055522,230581251,231940641,233166249,234274601,235212805,234196188,233077800,231840771,265913583,227164857,225155849,222844453,220159564,216984913,213157744,264674114,188136345,179072058,168793702,157355690,144942869,131694709,117867150,259587681,75814632,62851128,51201739,257284170,5717787,3559495,2120836,2120835,3559492,5717782,5970656,5970657,9124364,13352174,255255031,25335235,33064613,268380782,5070353,5070352,7968821,255140473,23262298,256474127 Dl.O(d2) = 227327177,229055522,230581251,231940641,233166249,234274601,235212805,234196188,233077800,231840771,265913583,227164857,225155849,222844453,220159564,216984913,213157744,264674114,188136345,179072058,168793702,157355690,144942869,131694709,117867150,259587681,75814632,62851128,51201739,257284170,5717787,3559495,2120836,2120835,3559492,5717782,5970656,5970657,9124364,13352174,255255031,25335235,33064613,268380782,5070353,5070352,7968821,255140473,23262298,256474127 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543433, s2 = 14067058, dlinesl.size( ) = 2 s1 = 11543433, s2 = 14067058, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11543433, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14067057, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13866718, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11543687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13867037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11543943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543943, s2 = 14086192, int(edited[s2]) = 0 s1 = 11543943, s2 = 14086192, d1 = 29, d2 = 23 Dl.O(d1) = 265477078,222274533,219496966,264631488 Dl.O(d2) = 194498852,186330487,176961030,261977024,259661652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543943, s2 = 14086192, dlinesl.size( ) = 24 s1 = 11543997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543997, s2 = 11479114, int(edited[s2]) = 0 s1 = 11543997, s2 = 11479114, d1 = 3, d2 = 4 Dl.O(d1) = 227528772 Dl.O(d2) = 223339709,220748485,264962792,217704861,217704862,217704863,220748484,217704869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543997, s2 = 11479114, dlinesl.size( ) = 2 s1 = 11543997, s2 = 11479114, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11543997, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11544161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544161, s2 = 11626022, int(edited[s2]) = 0 s1 = 11544161, s2 = 11626022, d1 = 24, d2 = 22 Dl.O(d1) = 229207420,230717479,230717480,232062896,233274782,234371355,235368371 Dl.O(d2) = 267289341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544161, s2 = 11626022, dlinesl.size( ) = 22 s1 = 11544171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11508253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508253, s2 = 15088456, int(edited[s2]) = 0 s1 = 11508253, s2 = 15088456, d1 = 76, d2 = 98 Dl.O(d1) = 265459827,227230454 Dl.O(d2) = 37190510,28668919,21422347,15431201,10667928,10667927,10667929,15431204,21422349,28668923,37190515,37190518,37190517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508253, s2 = 15088456, dlinesl.size( ) = 6 s1 = 11487537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487537, s2 = 10425153, int(edited[s2]) = 0 s1 = 11487537, s2 = 10425153, d1 = 9, d2 = 8 Dl.O(d1) = 265104957,265485257,227527828 Dl.O(d2) = 274762585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487537, s2 = 10425153, dlinesl.size( ) = 2 s1 = 11487537, s2 = 10425153, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11487537, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11544369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544369, s2 = 11471634, int(edited[s2]) = 0 s1 = 11544369, s2 = 11471634, d1 = 17, d2 = 24 Dl.O(d1) = 265487343 Dl.O(d2) = 209666267,265107375,264644939,204261984,197784254,190181797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544369, s2 = 11471634, dlinesl.size( ) = 26 s1 = 11544385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544385, s2 = 11146004, int(edited[s2]) = 0 s1 = 11544385, s2 = 11146004, d1 = 38, d2 = 31 Dl.O(d1) = 227774863,265507796,205395321,264205162 Dl.O(d2) = 80401044,258728270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544385, s2 = 11146004, dlinesl.size( ) = 42 s1 = 8897550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8897550, s2 = 614354, int(edited[s2]) = 0 s1 = 8897550, s2 = 614354, d1 = 136, d2 = 159 Dl.O(d1) = 274580405,225621038,265652599,274493816,227563693,266065107,230765553,266181085,233312578,232105309 Dl.O(d2) = 37729080,29168847,21859502,15787154,10937068,7236701,4574942,4574943,7254332,10959878,8187149,5962002,3728266,3728268,2854850,2854854,4735068,4735067,4733777,3212976,1882088,1882085,3212960,3247630,3247627,5296749,4734304,3269682,3245728,1905127,1087639,610674,610673,1087628,1905107,1088841,611329,611331,1088854,1904301,1087143,610409,339564,186411,186410,339559,186598,101955,101956,186601,339957,611188,1088564,1906623,3232285,3232286,3222855,3222856,3246206,5278574,5278573,3242465,3242464,4736280,4736281,5302335,3253153,3253154,3208356,254265933,1090893,612489,340640,186967,186966,340637,612480,1068891,600733,600732,1068887,601291,601292,1069984,1875599,3203079,254579457,254395027,3224939,3195424,1870472,1066983,604691,254132813,1886841,1908863,3250796,5292182,5292180,7906663,7906662,11036096,8154081,7318526,7318525,11043839,8151038,7307015,7307017,7307039,11032453,12118722,254807025,7824654 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544477, s2 = 11039100, int(edited[s2]) = 0 s1 = 11544477, s2 = 11039100, d1 = 50, d2 = 66 Dl.O(d1) = 265774012 Dl.O(d2) = 6083316,3831324,254451875,7751886,4909404,2959157,2959156,4909403,6120373,256667143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544477, s2 = 11039100, dlinesl.size( ) = 24 s1 = 11544517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11544519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544519, s2 = 10747482, int(edited[s2]) = 0 s1 = 11544519, s2 = 10747482, d1 = 10, d2 = 2 Dl.O(d1) = 265619686,223411876 Dl.O(d2) = 264318284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544519, s2 = 10747482, dlinesl.size( ) = 12 s1 = 11544617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544617, s2 = 10609687, int(edited[s2]) = 0 s1 = 11544617, s2 = 10609687, d1 = 22, d2 = 21 Dl.O(d1) = 265292116 Dl.O(d2) = 237912283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544617, s2 = 10609687, dlinesl.size( ) = 26 s1 = 10744859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11544697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544697, s2 = 11339916, int(edited[s2]) = 0 s1 = 11544697, s2 = 11339916, d1 = 8, d2 = 11 Dl.O(d1) = 265047754 Dl.O(d2) = 273977399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544697, s2 = 11339916, dlinesl.size( ) = 6 s1 = 11339915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339915, s2 = 11544698, int(edited[s2]) = 0 s1 = 11339915, s2 = 11544698, d1 = 10, d2 = 9 Dl.O(d1) = 273977398 Dl.O(d2) = 265047755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339915, s2 = 11544698, dlinesl.size( ) = 6 s1 = 11544723, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10951136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13867866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13867866, s2 = 5315684, int(edited[s2]) = 0 s1 = 13867866, s2 = 5315684, d1 = 29, d2 = 14 Dl.O(d1) = 265921198,223651622,221139744,221139745,221139748,221139749,223651625,225828166,223651613,221139738,221139737,223651611,225828163,227726153,225828195,223651639,223651638,225828193,227726198,229391408,230870489,232195759,232195745,230870456,229391360,229391359,230870455,230870481,229391391,227726183,265812051,225828161,223651609,265282054,218205317,221139736,265812049,229391381,230870470,229391369,227726164,225828173,223651620,223651621,225828176,227726165,266048922,227726167,229391372,230870471 Dl.O(d2) = 230870454,229391430,229391384,265948059,266166636,265921206,227726219,265948073,266048918,227726158,225828168,225828169,227726160,229391367,229391378,227726171,225828178,223651622,221139744,221139745,221139748,221139749,223651625,225828166,223651613,223651612,225828164,225828185,225828184,265812057,265921206,265630988,223651646,225828188,223651641,223651642,225828200,227726204,265878896,265812055,265812057,265921206,227726219,266072505,265735416,229050060,227321458,225343311,223066327,220426516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13867866, s2 = 5315684, dlinesl.size( ) = 20 s1 = 11545001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11545029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11545071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545071, s2 = 11062740, int(edited[s2]) = 0 s1 = 11545071, s2 = 11062740, d1 = 12, d2 = 17 Dl.O(d1) = 265950908,224373831,265193418 Dl.O(d2) = 261154668,22045871,255071303,11059406,7333181,7333180,7336168,7332207,7332206,7332174,4631887,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,4634506,2791764,1619519,1619518,2791760,4634495,2794018,2794015,4638684,7336424,9780523,9775989,9775990,7340362,4636502,2792836,2792837,4636510,4637188,4637189,6003398,3754414,3754413,6003393,9172277,9203631,11068351,7339059,7339060,7336092,4634037,4634035,3769511,3769510,4634621,7337100,4640118,4640116,7339869,4636217,4636214,2792719,1619977,1619978,1619986,1619989,2791920,1619594,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634025,4637636,4633452,2791192,2791191,4633449,7335069,7347352,7347353,6740544,4223774,2525582,2525581,2794459,2794463,4639514,7345566,11077912,12827553,12827576,12827573,15965007,11080820,11080818,15939462,11789270,7872290,7872291,7332583,4632137,4632139,7332616,7339313,4635903,4635906,4635932,4635933,7339382,11068807,15949990,22053513,15964467,15964468,22069379,29384604,22054561,15950909,15950910,22054565,22044511,22044510,29375302,29375315,22044521,15941609,11062134,7334808,7334806,11062131,15941605,22044514,15956000,11073520,11073519,15956003,22060308,25541029,18928486,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377783,35222345,44603140,47883328,47883327,59254021,59254023,48603780,38687847,31383252,23886629,17540176,17540178,23886631,29368395,29368396,24704934,24704933,29368903,25540171,25540172,29378239,37943588,33303774,25541893,18929271,15033561,15033560,15880587,21974888,25540779,25540778,33299015,25537044,22271115,16129528,11204646,8385146,5410983,5410985,8385149,12406774,17578628,23920000,25571510,23911414,23911413,23922083,17580933,12408912,8386697,5411916,3326769,1956447,1956446,1960593,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,10547499,254653464,28468831,256652452,31869418,31869419,40572327,48744551,38824434,30241152,255499709,254814035,254375313,3041736,5025267,7905629,255135549,23166664,255369764,13275745,255135544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545071, s2 = 11062740, dlinesl.size( ) = 12 s1 = 11545145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545145, s2 = 12374679, int(edited[s2]) = 0 s1 = 11545145, s2 = 12374679, d1 = 46, d2 = 36 Dl.O(d1) = 265760182 Dl.O(d2) = 263426313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545145, s2 = 12374679, dlinesl.size( ) = 46 s1 = 11545327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545327, s2 = 8812669, int(edited[s2]) = 0 s1 = 11545327, s2 = 8812669, d1 = 32, d2 = 59 Dl.O(d1) = 266079467 Dl.O(d2) = 230444688,228893979,227134422,225118338,222798088,222798086,225118334,227134416,228893971,230444676,230444687,228893978,228893977,230444670,228893968,227134413,225118332,222798085,265452113,227134411,265911871,228893968,227134413,225118332,222798085,265452113,227134411,265951954,222798085,220100826,274129287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545327, s2 = 8812669, dlinesl.size( ) = 20 s1 = 16257132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11989102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11989278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11546163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11546163, s2 = 10529840, int(edited[s2]) = 0 s1 = 11546163, s2 = 10529840, d1 = 3, d2 = 0 Dl.O(d1) = 229690605 Dl.O(d2) = 205085137,198764924,198764925,198764932,198764931,205085142,210320834,264906979,265499613,223594000,221068705,218117425,265123923,264907672,205085137,198764924,198764925,198764930,198764929,264401843,264906975,210320807,205085112,198764906,263408156,262543842,149254125,273037330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11546163, s2 = 10529840, dlinesl.size( ) = 16 s1 = 13828193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11546369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11546369, s2 = 11613342, int(edited[s2]) = 0 s1 = 11546369, s2 = 11613342, d1 = 19, d2 = 13 Dl.O(d1) = 266316247,274720667 Dl.O(d2) = 267064063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11546369, s2 = 11613342, dlinesl.size( ) = 2 s1 = 11546369, s2 = 11613342, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11546369, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 11546563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11546563, s2 = 11570356, int(edited[s2]) = 0 s1 = 11546563, s2 = 11570356, d1 = 1, d2 = 10 Dl.O(d1) = 229766176 Dl.O(d2) = 233669679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11546563, s2 = 11570356, dlinesl.size( ) = 16 s1 = 11546689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11546689, s2 = 14126208, int(edited[s2]) = 0 s1 = 11546689, s2 = 14126208, d1 = 26, d2 = 33 Dl.O(d1) = 274452672,233688708 Dl.O(d2) = 265291973,217517047,265291971,265928251,266172273,232002608,233219220,274681039,233219224,266055025,229135331,227418335,225455391,265638973,229135327,266055021,233219222,233219225,232002610,266134546,220587136,217517041,274042023,264792054,180751145,264871269,203882464,263716573,263716571,203882463,274309537,170621567,159285892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11546689, s2 = 14126208, dlinesl.size( ) = 26 s1 = 11546865, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11546907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11546907, s2 = 11417740, int(edited[s2]) = 0 s1 = 11546907, s2 = 11417740, d1 = 14, d2 = 1 Dl.O(d1) = 228212037 Dl.O(d2) = 218970069,274091537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11546907, s2 = 11417740, dlinesl.size( ) = 20 s1 = 11547115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547115, s2 = 10534061, int(edited[s2]) = 0 s1 = 11547115, s2 = 10534061, d1 = 12, d2 = 0 Dl.O(d1) = 228270965 Dl.O(d2) = 211668256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547115, s2 = 10534061, dlinesl.size( ) = 22 s1 = 11547165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547165, s2 = 11492402, int(edited[s2]) = 0 s1 = 11547165, s2 = 11492402, d1 = 7, d2 = 2 Dl.O(d1) = 228279974,228279972,226445277,265381005 Dl.O(d2) = 228279971,265189946,225342841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547165, s2 = 11492402, dlinesl.size( ) = 2 s1 = 11547165, s2 = 11492402, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11547165, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 8849832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11989812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13870410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13870410, s2 = 4866714, int(edited[s2]) = 0 s1 = 13870410, s2 = 4866714, d1 = 4, d2 = 0 Dl.O(d1) = 206852238,211792935,215829140,219167345,221985620,224405817,226507592,228338860,229946271,229946275,228338863,226507598,265451454,265618856,228338861,228338862,265771494,226507598,224405822,224405821,265843070,224236183,224236184,224405779,221985588,219167322,219167323,221985589,224405780,226507554,228338836,228196777,226352997,226352998,228196781,229815770,229946260,229946259,229946231,228338785,226507517,224405748,221985608,221985607,224405810,265451450,224405799,221985600,221985602,224405803,226507574,228196776,229815764,229946254,228338834,226507553,224405775,224405773,224405762,224405761,226507508,224405744,221985567,219167309,215829118,215829119,215829137,215829138,219167343,221985617,224405814,226507588,228338855,229946268,231253424,232543042,231372448,231372447,265976206,224236178,221794581,218947728,218947727,221794578,224236174,226352990,226352999,226352998,228196781,229815770 Dl.O(d2) = 206498077,200456399,263491990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13870410, s2 = 4866714, dlinesl.size( ) = 2 s1 = 13870410, s2 = 4866714, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13870410, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 11547643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547643, s2 = 11506324, int(edited[s2]) = 0 s1 = 11547643, s2 = 11506324, d1 = 7, d2 = 15 Dl.O(d1) = 228374712 Dl.O(d2) = 264760889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547643, s2 = 11506324, dlinesl.size( ) = 24 s1 = 11547689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547689, s2 = 14680514, int(edited[s2]) = 0 s1 = 11547689, s2 = 14680514, d1 = 170, d2 = 219 Dl.O(d1) = 229989837,231411477,232685409 Dl.O(d2) = 139866689,139866684,139866685,152576804,139866693,126500110,112634797,112634796,126500108,139866692,152576812,152576807,139866689,139866684,139866685,152576804,139866693,139866686,139866687,139866688,262172683,152576811,152576812,152576807,152576805,273003618,152576808,152576810,152576809,139866695,126500111,112634797,112634796,126500108,139866692,152576812,164433186,263098025,184782677,193137084,200307497,206364047,200469683,193316547,193316548,200469686,264476747,215583077,218954772,218954763,215583066,211503224,206510456,200469679,264189293,211503227,215467229,211372858,206364046,200307496,200307497,206364048,206510455,200469679,264189293,211503227,215583067,218954767,221800356,218954769,215583075,211503233,206510463,200469683,200469684,206510465,211503237,211503231,206510462,200469682,193316546,193316545,264189293,211503227,215583067,218954767,221800356,218954769,215583075,274260146,265306084,215467231,218850992,218850994,265346060,218954771,218954772,218954763,215583066,211503224,206510456,200469679,264189293,211503227,215583067,218954767,221800356,218954769,215583075,211503233,206510463,200469683,193316547,193316548,200469686,206510458,200469680,193316546,193316545,264189293,211503227,215583068,215583065,211503224,206510456,200469679,264189293,211503227,215583067,218954767,221800356,218954769,215583075,211503233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547689, s2 = 14680514, dlinesl.size( ) = 42 s1 = 11547721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10273289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11547839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547839, s2 = 11601282, int(edited[s2]) = 0 s1 = 11547839, s2 = 11601282, d1 = 4, d2 = 8 Dl.O(d1) = 266516993,237514554 Dl.O(d2) = 266785986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547839, s2 = 11601282, dlinesl.size( ) = 16 s1 = 13870810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15146419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548187, s2 = 11579470, int(edited[s2]) = 0 s1 = 11548187, s2 = 11579470, d1 = 17, d2 = 24 Dl.O(d1) = 265827384 Dl.O(d2) = 266305072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548187, s2 = 11579470, dlinesl.size( ) = 26 s1 = 13881779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13881779, s2 = 11502490, int(edited[s2]) = 0 s1 = 13881779, s2 = 11502490, d1 = 12, d2 = 8 Dl.O(d1) = 228637869,274419409,222424394,222424393,274419407,228637866,230213402,230213414,265888859,228637877,230213417,230213421,230213422,231612620,266018589,228637885,228637884,230213405,231612611,230213420,230213399,230213400,231612608,265888861,228637863,226846099,224791313,274419407,228637866,230213402,228637875,265591933,224791314,226846100,228637870,228637892,228637891,230213413,230213412,230213419,228637878,226846103,226846102,228637877,230213416,231612616,266248727,266248731 Dl.O(d2) = 228637870,228637892,226846114,224791326,222424400,219667115,216402402,212464959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13881779, s2 = 11502490, dlinesl.size( ) = 2 s1 = 13881779, s2 = 11502490, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13881779, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 11548887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548887, s2 = 10865791, int(edited[s2]) = 0 s1 = 11548887, s2 = 10865791, d1 = 20, d2 = 25 Dl.O(d1) = 228661844,274420221,264678902,186876428,263017808,272771184,260975838,115653328,261272931 Dl.O(d2) = 129539878,142859020,155441964,262797665,262072150,129539882,261816535,262797663,262565276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549247, s2 = 11577928, int(edited[s2]) = 0 s1 = 11549247, s2 = 11577928, d1 = 14, d2 = 16 Dl.O(d1) = 265776788 Dl.O(d2) = 266270586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549247, s2 = 11577928, dlinesl.size( ) = 18 s1 = 11549585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549585, s2 = 11458144, int(edited[s2]) = 0 s1 = 11549585, s2 = 11458144, d1 = 10, d2 = 9 Dl.O(d1) = 274515490 Dl.O(d2) = 274044369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549585, s2 = 11458144, dlinesl.size( ) = 14 s1 = 11549717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549717, s2 = 11543380, int(edited[s2]) = 0 s1 = 11549717, s2 = 11543380, d1 = 11, d2 = 14 Dl.O(d1) = 266154507 Dl.O(d2) = 266373656,232408109,266048434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549717, s2 = 11543380, dlinesl.size( ) = 2 s1 = 11549717, s2 = 11543380, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11549717, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 11549771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549771, s2 = 11553794, int(edited[s2]) = 0 s1 = 11549771, s2 = 11553794, d1 = 0, d2 = 1 Dl.O(d1) = 230406968 Dl.O(d2) = 231016283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549771, s2 = 11553794, dlinesl.size( ) = 14 s1 = 11549927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549927, s2 = 11507776, int(edited[s2]) = 0 s1 = 11549927, s2 = 11507776, d1 = 16, d2 = 18 Dl.O(d1) = 228886251 Dl.O(d2) = 265266272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549927, s2 = 11507776, dlinesl.size( ) = 20 s1 = 10479126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13873122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11550325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550325, s2 = 8559005, int(edited[s2]) = 0 s1 = 11550325, s2 = 8559005, d1 = 32, d2 = 21 Dl.O(d1) = 230552322 Dl.O(d2) = 159500512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550325, s2 = 8559005, dlinesl.size( ) = 28 s1 = 8832167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11550875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550875, s2 = 10370660, int(edited[s2]) = 0 s1 = 11550875, s2 = 10370660, d1 = 35, d2 = 2 Dl.O(d1) = 265632364,274229394 Dl.O(d2) = 159586433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550875, s2 = 10370660, dlinesl.size( ) = 40 s1 = 11550955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550955, s2 = 14150158, int(edited[s2]) = 0 s1 = 11550955, s2 = 14150158, d1 = 0, d2 = 41 Dl.O(d1) = 230690070 Dl.O(d2) = 266701675,237093294,236261558,235349764,234349716,234349715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550955, s2 = 14150158, dlinesl.size( ) = 46 s1 = 14767841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13919863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13919863, s2 = 13927390, int(edited[s2]) = 0 s1 = 13919863, s2 = 13927390, d1 = 38, d2 = 67 Dl.O(d1) = 240309976 Dl.O(d2) = 218456726,215000341,210797829,210797828,215000340,218456728,218649696,221360319,218456731,215000343,215000342,263834596,223847574,226003137,226138566,226138565,228000539,227883114,226003123,223847566,223847565,221360311,218456726,215000339,215000340,218456728,215228071,273971878,221530152,223999231,226138563,265968609,232391117,233568985,234640190,235616640,236506479,237318460,238057763,266651148,239346874,274845129,266842970,241378152,266994496,242538705,242181747,241796176,266994496,242538706,267117064,242181746,274900560,242538703,242538702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13919863, s2 = 13927390, dlinesl.size( ) = 2 s1 = 13919863, s2 = 13927390, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13919863, Dl.E( ) = 76, 2.5e-05 seconds used appending s1 = 11551233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551233, s2 = 10729407, int(edited[s2]) = 0 s1 = 11551233, s2 = 10729407, d1 = 3, d2 = 17 Dl.O(d1) = 229243458 Dl.O(d2) = 214089232,264374227,264374225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551233, s2 = 10729407, dlinesl.size( ) = 14 s1 = 11551319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551319, s2 = 10621005, int(edited[s2]) = 0 s1 = 11551319, s2 = 10621005, d1 = 17, d2 = 1 Dl.O(d1) = 229262862 Dl.O(d2) = 204308527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551319, s2 = 10621005, dlinesl.size( ) = 26 s1 = 11551381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551381, s2 = 11634776, int(edited[s2]) = 0 s1 = 11551381, s2 = 11634776, d1 = 1, d2 = 77 Dl.O(d1) = 230777128 Dl.O(d2) = 245437647,245437648,245576628,267476113,245941617,245827489,245827488,245941623,245941622,245941623,246049017,246049016,246049018 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551381, s2 = 11634776, dlinesl.size( ) = 18 s1 = 11551395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551395, s2 = 11526712, int(edited[s2]) = 0 s1 = 11551395, s2 = 11526712, d1 = 9, d2 = 1 Dl.O(d1) = 266182101 Dl.O(d2) = 229535355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551395, s2 = 11526712, dlinesl.size( ) = 14 s1 = 9616275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11551683, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11372009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15956557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11551903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551903, s2 = 11509666, int(edited[s2]) = 0 s1 = 11551903, s2 = 11509666, d1 = 10, d2 = 5 Dl.O(d1) = 274579856 Dl.O(d2) = 264415287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551903, s2 = 11509666, dlinesl.size( ) = 12 s1 = 11552051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552051, s2 = 10427889, int(edited[s2]) = 0 s1 = 11552051, s2 = 10427889, d1 = 55, d2 = 39 Dl.O(d1) = 230933003,232252492,274741571 Dl.O(d2) = 266515067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552051, s2 = 10427889, dlinesl.size( ) = 2 s1 = 11552051, s2 = 10427889, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11552051, Dl.E( ) = 56, 2.29e-05 seconds used appending s1 = 13868315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552165, s2 = 8323863, int(edited[s2]) = 0 s1 = 11552165, s2 = 8323863, d1 = 10, d2 = 96 Dl.O(d1) = 229481827,274451636 Dl.O(d2) = 174394021,163550263,151668563,138963212,125624439,111809580,97876981,84008295,259323608,28088216,20914671,20914670,20914673,20914672,16541428,14945525,13297899,268140231,15003099,15005802,13320660,13320659,18713989,25286898,33011892,41954192,52295093,64147386,77296541,77296542,64147387,64147388,77296547,77296535,77296536,77296551,77296543,77296541,77296542,64147387,52295094,52295095,64147389,64147381,52295091,41954191,41954192,52295093,64147386,77296541,64147384,64147386,77296541,77296542,64147387,64147388,77296546,77296537,77296538,77296540,77296538,77296540,64147383,64147382,77296536,64147392,52295097,52295096,64147391,77296548,77296550,91216975,105439634,91216973,77296549,64147390,64147391,259015013,105439634,91216973,91216971,77296543,77296544,91216972,271528065,125443677,257038084,83861889,70336736,57646270,46301644,36448621,27989907,20825431,14927176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552165, s2 = 8323863, dlinesl.size( ) = 2 s1 = 11552165, s2 = 8323863, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11552165, Dl.E( ) = 102, 2.41e-05 seconds used appending s1 = 13874902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13874902, s2 = 11236334, int(edited[s2]) = 0 s1 = 13874902, s2 = 11236334, d1 = 12, d2 = 8 Dl.O(d1) = 230955614,229483728,227827458,225941308,223779168,221284811,218372927,214908223 Dl.O(d2) = 262579870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13874902, s2 = 11236334, dlinesl.size( ) = 14 s1 = 11552341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10624434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552653, s2 = 11628094, int(edited[s2]) = 0 s1 = 11552653, s2 = 11628094, d1 = 20, d2 = 10 Dl.O(d1) = 267399605 Dl.O(d2) = 245632893,245497180,267421190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552653, s2 = 11628094, dlinesl.size( ) = 24 s1 = 11552655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553169, s2 = 11272382, int(edited[s2]) = 0 s1 = 11553169, s2 = 11272382, d1 = 12, d2 = 8 Dl.O(d1) = 265696347,265169477 Dl.O(d2) = 274182600,258041033,271299618,28523307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553169, s2 = 11272382, dlinesl.size( ) = 8 s1 = 11553349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553349, s2 = 14368083, int(edited[s2]) = 0 s1 = 11553349, s2 = 14368083, d1 = 52, d2 = 59 Dl.O(d1) = 265700341 Dl.O(d2) = 211390299,206382640,263858647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553349, s2 = 14368083, dlinesl.size( ) = 70 s1 = 14782598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553447, s2 = 14126934, int(edited[s2]) = 0 s1 = 11553447, s2 = 14126934, d1 = 1, d2 = 1 Dl.O(d1) = 228165525,229788328,229788334,228165530,226316700,226316701,228165531,229788335,231229000,231228983,229788311,228165533,228165534,229788340,231229007,231228976,229788306,228165535,226316703,264853682,218891315,264608126,224193542,226316706,228165507,226316687,224193531,224193530,226316684,265277638,224193541,224193542,226316706,228165507,226316687,226316686,228165503,228165519,229788318,231228985,231228967,231228966,231229001,231229000,231228983,229788311,228165515,226316691,224193533,221744882,218891313,215511354,211420951 Dl.O(d2) = 228165525,229788328,229788334,228165530,226316700,226316701,228165531,229788335,231229000,231228983,229788311,228165533,228165534,229788340,231229007,231228976,229788306,228165535,226316703,264853682,218891315,264608126,224193542,226316706,228165507,226316687,224193531,224193530,226316684,265277638,224193541,224193542,226316706,228165507,226316687,226316686,228165503,228165519,229788318,231228985,231228967,231228966,231229001,231229000,231228983,229788311,228165515,226316691,224193533,221744882,218891313,215511354,211420951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553447, s2 = 14126934, dlinesl.size( ) = 2 s1 = 11553447, s2 = 14126934, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11553447, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14126933, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11991942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7395923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7395923, s2 = 14070383, int(edited[s2]) = 0 s1 = 7395923, s2 = 14070383, d1 = 19, d2 = 26 Dl.O(d1) = 236476190,266218036,236607320,235729080,265849976,233704099,232538667,231248499,265179568,264734920,273981392,221788269,218941111,215567151,215567152,211484669,206488806,200445289,193289735,184952590,175404540,259940214,258694578,126762743,112910158,98922654,84997856,71424862,58692110 Dl.O(d2) = 52105933,41791994,32870958,254880284,13223550,9015156,5885810,5885809,7155894,4506682,2708146,2708149,2708683,2708684,2708592,2708598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7395923, s2 = 14070383, dlinesl.size( ) = 2 s1 = 7395923, s2 = 14070383, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 7395923, Dl.E( ) = 30, 1.48e-05 seconds used appending s1 = 11553589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553589, s2 = 11588260, int(edited[s2]) = 0 s1 = 11553589, s2 = 11588260, d1 = 0, d2 = 5 Dl.O(d1) = 231260028,232549759 Dl.O(d2) = 235740157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553589, s2 = 11588260, dlinesl.size( ) = 12 s1 = 11553671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553671, s2 = 11335846, int(edited[s2]) = 0 s1 = 11553671, s2 = 11335846, d1 = 25, d2 = 0 Dl.O(d1) = 266010890 Dl.O(d2) = 113032411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553671, s2 = 11335846, dlinesl.size( ) = 28 s1 = 11553793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553793, s2 = 11549772, int(edited[s2]) = 0 s1 = 11553793, s2 = 11549772, d1 = 3, d2 = 2 Dl.O(d1) = 231304622 Dl.O(d2) = 231266323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553793, s2 = 11549772, dlinesl.size( ) = 14 s1 = 11553821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553899, s2 = 11481942, int(edited[s2]) = 0 s1 = 11553899, s2 = 11481942, d1 = 31, d2 = 0 Dl.O(d1) = 266852081 Dl.O(d2) = 229452212,266237430,264124557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553899, s2 = 11481942, dlinesl.size( ) = 48 s1 = 11554053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554053, s2 = 10670349, int(edited[s2]) = 0 s1 = 11554053, s2 = 10670349, d1 = 12, d2 = 11 Dl.O(d1) = 274471652 Dl.O(d2) = 264495223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554053, s2 = 10670349, dlinesl.size( ) = 14 s1 = 11554055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554055, s2 = 6905120, int(edited[s2]) = 0 s1 = 11554055, s2 = 6905120, d1 = 11, d2 = 12 Dl.O(d1) = 229929290,228320408,228320409 Dl.O(d2) = 259940860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554055, s2 = 6905120, dlinesl.size( ) = 12 s1 = 11554103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554103, s2 = 11385606, int(edited[s2]) = 0 s1 = 11554103, s2 = 11385606, d1 = 14, d2 = 17 Dl.O(d1) = 265435470 Dl.O(d2) = 221967519,264568870,211764491,206820472,263247084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554103, s2 = 11385606, dlinesl.size( ) = 2 s1 = 11554103, s2 = 11385606, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11554103, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 10278516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10278516, s2 = 7003706, int(edited[s2]) = 0 s1 = 10278516, s2 = 7003706, d1 = 35, d2 = 0 Dl.O(d1) = 201362941,194337786,186135731,176724083,166087311,166087312,176724084,263929169,264526433,216131844,216131847,216131835 Dl.O(d2) = 154338086,261217393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10278516, s2 = 7003706, dlinesl.size( ) = 36 s1 = 11554327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554327, s2 = 10610032, int(edited[s2]) = 0 s1 = 11554327, s2 = 10610032, d1 = 21, d2 = 28 Dl.O(d1) = 229982451,231404866,266332987,235834589,236704310,237496738,238215812,238870985,239473102,266908807 Dl.O(d2) = 243794809,243794806,243530131,243530130,243244984,242939848,267191973,243530130,243244984,242939848,242612814,242260905,267125030,266958424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554327, s2 = 10610032, dlinesl.size( ) = 30 s1 = 11554387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554387, s2 = 11382218, int(edited[s2]) = 0 s1 = 11554387, s2 = 11382218, d1 = 40, d2 = 32 Dl.O(d1) = 265853729 Dl.O(d2) = 264248214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554387, s2 = 11382218, dlinesl.size( ) = 26 s1 = 11554465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554465, s2 = 11542460, int(edited[s2]) = 0 s1 = 11554465, s2 = 11542460, d1 = 17, d2 = 27 Dl.O(d1) = 265724198 Dl.O(d2) = 231747583,265903172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554465, s2 = 11542460, dlinesl.size( ) = 34 s1 = 15792436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11554759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11554833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11554877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11554989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554989, s2 = 11577714, int(edited[s2]) = 0 s1 = 11554989, s2 = 11577714, d1 = 17, d2 = 19 Dl.O(d1) = 231526671 Dl.O(d2) = 266038017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554989, s2 = 11577714, dlinesl.size( ) = 20 s1 = 10492106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10492106, s2 = 11555034, int(edited[s2]) = 0 s1 = 10492106, s2 = 11555034, d1 = 5, d2 = 0 Dl.O(d1) = 208470845,264322253,196028539,196028538 Dl.O(d2) = 202791086,265454103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10492106, s2 = 11555034, dlinesl.size( ) = 10 s1 = 11555111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11555111, s2 = 15011632, int(edited[s2]) = 0 s1 = 11555111, s2 = 15011632, d1 = 17, d2 = 14 Dl.O(d1) = 265960314,266198552,231693642,265897357 Dl.O(d2) = 265602212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555111, s2 = 15011632, dlinesl.size( ) = 18 s1 = 11555365, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14291311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15147197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11555561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7308468, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11555671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11555671, s2 = 5313022, int(edited[s2]) = 0 s1 = 11555671, s2 = 5313022, d1 = 27, d2 = 47 Dl.O(d1) = 265847436 Dl.O(d2) = 224881160,226924538,228705277,230272545,228960649,227215919,225218821,222921228,220254446,217106759,213320850,213320851,213320852,208696128,203067043,196346491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555671, s2 = 5313022, dlinesl.size( ) = 36 s1 = 11555755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11555755, s2 = 11484032, int(edited[s2]) = 0 s1 = 11555755, s2 = 11484032, d1 = 18, d2 = 1 Dl.O(d1) = 265896462 Dl.O(d2) = 212677955,207897697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555755, s2 = 11484032, dlinesl.size( ) = 24 s1 = 14213040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14213040, s2 = 14373883, int(edited[s2]) = 0 s1 = 14213040, s2 = 14373883, d1 = 119, d2 = 124 Dl.O(d1) = 130295901,143624040,156158371,167758973,263263383,263992445,208092186,212849016,216738005,219960905,222680953,225016430,227044563,228814217,230373432,265757882,225016473,225016474,265904405,231758504,231758424,230373401,228814190,227044546,225016433,265610357,265604036,219960902,216738003,212849014,208092185,202322514,202322512,264579059,216737999,219960897,222680943,265610355,228814191,230373404,231758427,230373468,228814241,227044584,225016465,222680989,222680988,265610359,265757880,227044590,228814184,227044543,225016417,274423340,222680955,219960906,219960905,222680953,225016430,227044563,228814218,230373430,230373432,265757882,225016473,265610361,228814254,230373481,231758500,230373480,228814253,228814254,230373481,231758500,230373480,266033297,230373478,266152065,274525110,228814181,266033289,265898822,265604044,225016458,265763799,230373460 Dl.O(d2) = 244189208,244271582,244043178,243797597,274903644,242943397,242616426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14213040, s2 = 14373883, dlinesl.size( ) = 44 s1 = 16389280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556123, s2 = 11616980, int(edited[s2]) = 0 s1 = 11556123, s2 = 11616980, d1 = 87, d2 = 24 Dl.O(d1) = 230381981,265841538,233009982 Dl.O(d2) = 243579576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556123, s2 = 11616980, dlinesl.size( ) = 56 s1 = 11556209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556209, s2 = 11608232, int(edited[s2]) = 0 s1 = 11556209, s2 = 11608232, d1 = 0, d2 = 10 Dl.O(d1) = 231780283 Dl.O(d2) = 239058675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556209, s2 = 11608232, dlinesl.size( ) = 24 s1 = 11556293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556293, s2 = 11573144, int(edited[s2]) = 0 s1 = 11556293, s2 = 11573144, d1 = 9, d2 = 11 Dl.O(d1) = 266264803 Dl.O(d2) = 266345845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556293, s2 = 11573144, dlinesl.size( ) = 14 s1 = 11556377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556377, s2 = 11590344, int(edited[s2]) = 0 s1 = 11556377, s2 = 11590344, d1 = 0, d2 = 13 Dl.O(d1) = 231818417 Dl.O(d2) = 266366899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556377, s2 = 11590344, dlinesl.size( ) = 8 s1 = 11556423, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13879597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556523, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11993018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556653, s2 = 11437824, int(edited[s2]) = 0 s1 = 11556653, s2 = 11437824, d1 = 9, d2 = 10 Dl.O(d1) = 230521684 Dl.O(d2) = 264231220,217164107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556653, s2 = 11437824, dlinesl.size( ) = 14 s1 = 11557113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557113, s2 = 11428350, int(edited[s2]) = 0 s1 = 11557113, s2 = 11428350, d1 = 13, d2 = 0 Dl.O(d1) = 230665750 Dl.O(d2) = 170773437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557113, s2 = 11428350, dlinesl.size( ) = 14 s1 = 11557207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557207, s2 = 11380420, int(edited[s2]) = 0 s1 = 11557207, s2 = 11380420, d1 = 35, d2 = 22 Dl.O(d1) = 265868536,234342858,235342865 Dl.O(d2) = 227749955,264509392,205335810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557207, s2 = 11380420, dlinesl.size( ) = 24 s1 = 14078855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11557309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557309, s2 = 11585242, int(edited[s2]) = 0 s1 = 11557309, s2 = 11585242, d1 = 8, d2 = 2 Dl.O(d1) = 266176441 Dl.O(d2) = 235358105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557309, s2 = 11585242, dlinesl.size( ) = 8 s1 = 11557369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557369, s2 = 11481884, int(edited[s2]) = 0 s1 = 11557369, s2 = 11481884, d1 = 6, d2 = 7 Dl.O(d1) = 231073479,266236858 Dl.O(d2) = 265401960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557369, s2 = 11481884, dlinesl.size( ) = 8 s1 = 13896517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5758929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11557603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11557977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557977, s2 = 11587644, int(edited[s2]) = 0 s1 = 11557977, s2 = 11587644, d1 = 13, d2 = 10 Dl.O(d1) = 266293343 Dl.O(d2) = 237185792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557977, s2 = 11587644, dlinesl.size( ) = 14 s1 = 14148329, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11558361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558361, s2 = 11532518, int(edited[s2]) = 0 s1 = 11558361, s2 = 11532518, d1 = 19, d2 = 8 Dl.O(d1) = 232271738,233463052,234544820,274715757 Dl.O(d2) = 265725238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558361, s2 = 11532518, dlinesl.size( ) = 20 s1 = 10675214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10675214, s2 = 14284971, int(edited[s2]) = 0 s1 = 10675214, s2 = 14284971, d1 = 68, d2 = 169 Dl.O(d1) = 223948306,265348273,218585179,274080845 Dl.O(d2) = 229596026,265965086 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5758186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5758186, s2 = 6067372, int(edited[s2]) = 0 s1 = 5758186, s2 = 6067372, d1 = 9, d2 = 36 Dl.O(d1) = 233571527 Dl.O(d2) = 240927867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5758186, s2 = 6067372, dlinesl.size( ) = 30 s1 = 13881182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13881182, s2 = 13869855, int(edited[s2]) = 0 s1 = 13881182, s2 = 13869855, d1 = 8, d2 = 8 Dl.O(d1) = 235584601,234603829,233526777,233526778,234603833,234603827,233526763,233526762,233526768,233526769,234603824,235584598,235584608,266218626,232341492,231030425,229568955,265547074,223907104,265521813,227924497,265962865,232341500,266218628,232341496,231030429,231030430,232341498,233526776 Dl.O(d2) = 235584601,234603829,233526777,233526778,234603833,234603827,233526763,233526762,233526768,233526769,234603824,235584598,235584608,266218626,232341492,231030425,229568955,265547074,223907104,265521813,227924497,265962865,232341500,266218628,232341496,231030429,231030430,232341498,233526776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13881182, s2 = 13869855, dlinesl.size( ) = 2 s1 = 13881182, s2 = 13869855, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13881182, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11558891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558891, s2 = 15338475, int(edited[s2]) = 0 s1 = 11558891, s2 = 15338475, d1 = 15, d2 = 30 Dl.O(d1) = 266204753 Dl.O(d2) = 274602477,231580257,265989908,235015687,233978262,233978261,233978253,232839312,231580273,265857686,232839292,265712748,274512682,231580252,230175899,230175898,231580250,231580272,232839309,231580270,265381348,228594197,228594198,230175916,231580272,232839311,233978250,235015676,235015661,233978224,265712744,230175901,228594182,226795339,224732820,222357723,219590871,216315696,212366669,212366668,264203610,222357721,224732816,226795331,265381346,231580260,232839297,233978230,235015663,233978233,232839299,231580263,230175910,230175911,231580265,232839301,266224204,235959898,235015661,233978224,265712744,231580254,265989906,233978228,232839318,265555268,228594200,274190326,222357727,222357728,224732827,226795342,228594203,230175914,274407368,232839305,233978242,233978237,232839303,231580267,230175912,230175913,265712750,233978223,232839289,231580249,231580250,231580272,232839311,233978250,235015676,235015661,233978224,265712744,230175901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558891, s2 = 15338475, dlinesl.size( ) = 2 s1 = 11558891, s2 = 15338475, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11558891, Dl.E( ) = 34, 1.5e-05 seconds used appending s1 = 11558949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16210097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559281, s2 = 10643433, int(edited[s2]) = 0 s1 = 11559281, s2 = 10643433, d1 = 29, d2 = 27 Dl.O(d1) = 232464754,266315545 Dl.O(d2) = 266899909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559281, s2 = 10643433, dlinesl.size( ) = 34 s1 = 11559511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559519, s2 = 11591858, int(edited[s2]) = 0 s1 = 11559519, s2 = 11591858, d1 = 0, d2 = 11 Dl.O(d1) = 232514505 Dl.O(d2) = 266503733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559519, s2 = 11591858, dlinesl.size( ) = 12 s1 = 11559543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559543, s2 = 10175328, int(edited[s2]) = 0 s1 = 11559543, s2 = 10175328, d1 = 55, d2 = 14 Dl.O(d1) = 231229308 Dl.O(d2) = 54616074,256722251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559543, s2 = 10175328, dlinesl.size( ) = 90 s1 = 15940549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5742379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5742379, s2 = 15940550, int(edited[s2]) = 0 s1 = 5742379, s2 = 15940550, d1 = 18, d2 = 32 Dl.O(d1) = 233174086 Dl.O(d2) = 32826877,41747501,33818696,33818697,42860005,53322326,63879496,52061331,257650166,32826886,25122696,25122697,32826887,41747515,52061311,41749095,32828420,32828421,41749096,42858944,33818829,33818830,42860117,53322374,42860107,33818818,26001651,26001650,33818815,33818676,26001537,19328967,19328968,26001540,33818683,42859995,42859662,42859661,53322128,42859764,33818444,33818443,26001417,19328885,13821919,13821920,19328887,13822207,13822206,19329304,26002025,26002326,19329534,19329533,26002322,29867792,29867793,26001673,268155191,9479426,6215787,6215789,9479428,13822024,16231973,22391087,19330048,13822672,9479800,6215988,3890640,2329469,2329464,2329463,3890620,6215944,9479708,13822511,19329777,26002659,256165811,26001008,33818111,42859464,33818067,26000965,19328523,13821673,9479224,6215680,6215681,9479226,13821677,19328529,19329346,13822233,9479558,9479559,6215882,3890582,2329443,2329444,3890583,6215883,9479605,13822173,9479588,9479587,13822288,19329443,19329819,13822534,9479720,6215950,6215949,9479719,13822533,19329815,26002715,33819917,41738159,268484065,18563418,255643865,28710427,28710428,25112610,25112601,25112602,255408046,32815377,25112181,18562457,13190703,13190704,9479574,9479573,13822261,19329397,25112579,19328641,13821765,9479274,9479275,13821767,19328637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5742379, s2 = 15940550, dlinesl.size( ) = 2 s1 = 5742379, s2 = 15940550, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5742379, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 11559873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559873, s2 = 7492606, int(edited[s2]) = 0 s1 = 11559873, s2 = 7492606, d1 = 48, d2 = 58 Dl.O(d1) = 266222215 Dl.O(d2) = 267189756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559873, s2 = 7492606, dlinesl.size( ) = 70 s1 = 11559875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559875, s2 = 11578378, int(edited[s2]) = 0 s1 = 11559875, s2 = 11578378, d1 = 12, d2 = 10 Dl.O(d1) = 232589056,233749089 Dl.O(d2) = 266280916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559875, s2 = 11578378, dlinesl.size( ) = 14 s1 = 11559931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16353671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11560549, s2 = 11442020, int(edited[s2]) = 0 s1 = 11560549, s2 = 11442020, d1 = 8, d2 = 10 Dl.O(d1) = 265610250 Dl.O(d2) = 274018192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11560549, s2 = 11442020, dlinesl.size( ) = 12 s1 = 14148913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14148913, s2 = 11454440, int(edited[s2]) = 0 s1 = 14148913, s2 = 11454440, d1 = 51, d2 = 35 Dl.O(d1) = 266596420 Dl.O(d2) = 154378756,154378763,262755347,186165093,194364496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14148913, s2 = 11454440, dlinesl.size( ) = 2 s1 = 14148913, s2 = 11454440, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14148913, Dl.E( ) = 78, 2.6e-05 seconds used appending s1 = 11994466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5627541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561173, s2 = 11011960, int(edited[s2]) = 0 s1 = 11561173, s2 = 11011960, d1 = 10, d2 = 3 Dl.O(d1) = 272984554,261434416,271533358,166539577,269076964,86909343 Dl.O(d2) = 60556422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561173, s2 = 11011960, dlinesl.size( ) = 12 s1 = 15786802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5799666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5799666, s2 = 13999832, int(edited[s2]) = 0 s1 = 5799666, s2 = 13999832, d1 = 138, d2 = 189 Dl.O(d1) = 234623672 Dl.O(d2) = 70546276,259264661,97957218,97957217 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561821, s2 = 10441703, int(edited[s2]) = 0 s1 = 11561821, s2 = 10441703, d1 = 9, d2 = 8 Dl.O(d1) = 266257849,235126710,234210944 Dl.O(d2) = 274677607,236991076,266388620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561821, s2 = 10441703, dlinesl.size( ) = 14 s1 = 11561835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561835, s2 = 11398892, int(edited[s2]) = 0 s1 = 11561835, s2 = 11398892, d1 = 4, d2 = 9 Dl.O(d1) = 266323832 Dl.O(d2) = 228061579,264973080,264194836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561835, s2 = 11398892, dlinesl.size( ) = 12 s1 = 11561845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561845, s2 = 11518486, int(edited[s2]) = 0 s1 = 11561845, s2 = 11518486, d1 = 11, d2 = 0 Dl.O(d1) = 232971240 Dl.O(d2) = 221526712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561845, s2 = 11518486, dlinesl.size( ) = 14 s1 = 11561909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561909, s2 = 11534402, int(edited[s2]) = 0 s1 = 11561909, s2 = 11534402, d1 = 8, d2 = 1 Dl.O(d1) = 265250112 Dl.O(d2) = 226452949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561909, s2 = 11534402, dlinesl.size( ) = 12 s1 = 11562047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11562413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562413, s2 = 14152040, int(edited[s2]) = 0 s1 = 11562413, s2 = 14152040, d1 = 37, d2 = 33 Dl.O(d1) = 266369315,236144347,267062159 Dl.O(d2) = 243144977,243144976,267211481,242832207,267112233,241745780,267059084 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562413, s2 = 14152040, dlinesl.size( ) = 26 s1 = 11562435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11562553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5825231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5825231, s2 = 6027665, int(edited[s2]) = 0 s1 = 5825231, s2 = 6027665, d1 = 130, d2 = 100 Dl.O(d1) = 235258801,234249546 Dl.O(d2) = 240029209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5825231, s2 = 6027665, dlinesl.size( ) = 2 s1 = 5825231, s2 = 6027665, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5825231, Dl.E( ) = 158, 4.2e-05 seconds used appending s1 = 11562939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562939, s2 = 11445218, int(edited[s2]) = 0 s1 = 11562939, s2 = 11445218, d1 = 68, d2 = 0 Dl.O(d1) = 274710079 Dl.O(d2) = 197544914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562939, s2 = 11445218, dlinesl.size( ) = 54 s1 = 14794551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563121, s2 = 11358100, int(edited[s2]) = 0 s1 = 11563121, s2 = 11358100, d1 = 12, d2 = 17 Dl.O(d1) = 266018052,230475364 Dl.O(d2) = 265622072,217039980,264599443,273768277,188300245,264239252,260033128,18215190,257725671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563121, s2 = 11358100, dlinesl.size( ) = 8 s1 = 14142069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11995474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563593, s2 = 11590468, int(edited[s2]) = 0 s1 = 11563593, s2 = 11590468, d1 = 1, d2 = 5 Dl.O(d1) = 233355434 Dl.O(d2) = 237918180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563593, s2 = 11590468, dlinesl.size( ) = 14 s1 = 9624279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8889575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8889575, s2 = 11639960, int(edited[s2]) = 0 s1 = 8889575, s2 = 11639960, d1 = 27, d2 = 31 Dl.O(d1) = 227770215,229431225,230906229,232227705,233420497 Dl.O(d2) = 246345140,246429832,246509935,246586404,267605011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8889575, s2 = 11639960, dlinesl.size( ) = 20 s1 = 13888127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13888127, s2 = 6592132, int(edited[s2]) = 0 s1 = 13888127, s2 = 6592132, d1 = 31, d2 = 18 Dl.O(d1) = 237211352,237933788,237182110,236356924,274696466,233377339,232179370,230853064,229371387,227702904,225800479,223618609,221099682,218154276,214643280,210373394,205149566,198842717,191395614,182741724,172840848,172840847,182741722,182741718,182741717,182741719,182741720,172840853,161681270,149388216,136134940,122167687,122167686,136134938,149388211,161681263,172840834,172840836,182741715,182741719,182741720,172840853,161681270,149388216,136134940,122167687,122167686,136134937,149388210,161681261,172840833,172840832,172840851,161681269,149388216,136134940,122167687,122167686,136134938,149388212,161681247,149388203,149388202,149388206,161681253,172840839,161681267,149388214,136134939,122167687,122167686,136134938,149388212,161681264,161681256,149388207,149388208,161681258,172840838,161681265,161681249,161681248,172840832,172840851,172840850,182741714,172840835,161681250,149388205,136134934,122167684,107757433,93329688,79198632,65836625,53776478,43260611,34170469,26302456,19579260,14026548,9642542,9642541,14026545,19579252,26302443,26982889,20095252,14407852,14407853,20095254,26984176,31394805,23901318,17556735,254853001,5401713,3321128,1953504,1116057,626332,348013,190821,104191,104195,57313,57311,104244,190945,348271,626824,1117064,1955488,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,15305128,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720548,23893381,17564239,17564241,13347683,13347680,15061599,20971911,17471374,14447491,14447494,17555407,17555409,18933035,17397436,17397438,16800458,11747263,11747260,12390752,12265514,12265518,12436055,8404935,8279667,5342052,3285114,1931979,1103624,619254,619255,1103632,1103641,1930862,1930865,1103171,1103170,1549983,1549986,2675798,4454224,7074955,10709093,15486455,21492369,28752055,256309418,58586459,71319887,84893756,98820783,112811960,126669009,140022103,152716736,164554478,175318472,184871031,193213087,200373505,206422971,211413320,206408169,206408166,206408165,211413317,206408168,200356666,193193164,184847132,184847131,175288762,164517898,164517894,164517893,175288758,273494520,200356664,206408164,211413317,206408168,200356666,193193164,184847134 Dl.O(d2) = 256328983,21462731,15462195,255405831,28718882,37249687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13888127, s2 = 6592132, dlinesl.size( ) = 2 s1 = 13888127, s2 = 6592132, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13888127, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 11563847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563847, s2 = 11575898, int(edited[s2]) = 0 s1 = 11563847, s2 = 11575898, d1 = 11, d2 = 6 Dl.O(d1) = 266774497 Dl.O(d2) = 266588666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563847, s2 = 11575898, dlinesl.size( ) = 14 s1 = 10282003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11564233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564233, s2 = 11522626, int(edited[s2]) = 0 s1 = 11564233, s2 = 11522626, d1 = 9, d2 = 18 Dl.O(d1) = 266302243 Dl.O(d2) = 274633897,224483734,265204753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564233, s2 = 11522626, dlinesl.size( ) = 14 s1 = 11564315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11564365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564365, s2 = 11395428, int(edited[s2]) = 0 s1 = 11564365, s2 = 11395428, d1 = 8, d2 = 19 Dl.O(d1) = 232316682 Dl.O(d2) = 264154134,210797995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564365, s2 = 11395428, dlinesl.size( ) = 26 s1 = 11564733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564733, s2 = 11609826, int(edited[s2]) = 0 s1 = 11564733, s2 = 11609826, d1 = 5, d2 = 0 Dl.O(d1) = 266577727 Dl.O(d2) = 239921427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564733, s2 = 11609826, dlinesl.size( ) = 8 s1 = 11564893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564893, s2 = 13989099, int(edited[s2]) = 0 s1 = 11564893, s2 = 13989099, d1 = 6, d2 = 16 Dl.O(d1) = 266579567,266723087 Dl.O(d2) = 241394832,241394833,241811511,242196106,267040081,240945022,240945021,241394825,267080815,266996425,240459159,239935342,266899395,240945024,241394829,241811505,242196103,267153359,242196105,241811506,241394824,241394825,241811508,241811510,267040083,241394827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564893, s2 = 13989099, dlinesl.size( ) = 14 s1 = 11564915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13887324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11565147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565147, s2 = 16401452, int(edited[s2]) = 0 s1 = 11565147, s2 = 16401452, d1 = 21, d2 = 9 Dl.O(d1) = 265979134,226297393,226297392,224171933,224171932,226297399,226297395 Dl.O(d2) = 265366907,221720976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565147, s2 = 16401452, dlinesl.size( ) = 18 s1 = 8788602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11565605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565605, s2 = 11544888, int(edited[s2]) = 0 s1 = 11565605, s2 = 11544888, d1 = 3, d2 = 6 Dl.O(d1) = 266326209 Dl.O(d2) = 266292986,229371329,227702844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565605, s2 = 11544888, dlinesl.size( ) = 2 s1 = 11565605, s2 = 11544888, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11565605, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 14786477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11565675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565675, s2 = 14150246, int(edited[s2]) = 0 s1 = 11565675, s2 = 14150246, d1 = 0, d2 = 19 Dl.O(d1) = 233774200 Dl.O(d2) = 237458176,236661335,236661336,237458178,238181689,238181691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565675, s2 = 14150246, dlinesl.size( ) = 14 s1 = 11566045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11566045, s2 = 11523682, int(edited[s2]) = 0 s1 = 11566045, s2 = 11523682, d1 = 14, d2 = 6 Dl.O(d1) = 265999490,230001299 Dl.O(d2) = 230671964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11566045, s2 = 11523682, dlinesl.size( ) = 2 s1 = 11566045, s2 = 11523682, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11566045, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 11566071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566311, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11566347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11566461, s2 = 11538740, int(edited[s2]) = 0 s1 = 11566461, s2 = 11538740, d1 = 17, d2 = 5 Dl.O(d1) = 266008957 Dl.O(d2) = 228508966,226699360,265407539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11566461, s2 = 11538740, dlinesl.size( ) = 18 s1 = 8867141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8867141, s2 = 7525983, int(edited[s2]) = 0 s1 = 8867141, s2 = 7525983, d1 = 25, d2 = 35 Dl.O(d1) = 223084359,225360795,227339164,229068872,266050127 Dl.O(d2) = 267423367,267496663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8867141, s2 = 7525983, dlinesl.size( ) = 2 s1 = 8867141, s2 = 7525983, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 8867141, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 14142471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11566887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14141454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141454, s2 = 3113170, int(edited[s2]) = 0 s1 = 14141454, s2 = 3113170, d1 = 20, d2 = 8 Dl.O(d1) = 258766456,167113072,177613032,186895392,194983694,201906219,262726118,216461685,219718852,222469076,224830647,226880914,228667718,230239219,231635394,232889871,234025790,235060938,236002809,266121248,238344842,238988667,239580587,239580585,238988679,238344851,238344850,238988674,238988618,238988619,239481515,239481513,240036984,240552224,241030773,241474310,241106097,240635496,240127947,239580593,238988639,238988641,239580597 Dl.O(d2) = 215390405,263721292,211289342,206270252,200199468,193010531,184631523,175037435,164231690,259659476,258405222,269504232,98415822,84494154,70929913,58212677,46844630,36965772,28466907,22847640,16623777,14171624,14171622,15395598,21377310,26162624,26162625,22215600,22215596,29561090,30235024,34166843,34166844,43257135,38732471,30150712,28674814,21426902,20225125,14513170,14513152,9986551,6563727,6563729,9640228,6337330,3975366,2381934,1378559,1378561,2381941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141454, s2 = 3113170, dlinesl.size( ) = 2 s1 = 14141454, s2 = 3113170, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 14141454, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 11567171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567171, s2 = 11599546, int(edited[s2]) = 0 s1 = 11567171, s2 = 11599546, d1 = 11, d2 = 19 Dl.O(d1) = 234051782,274702993,266595206 Dl.O(d2) = 266354269,236024644,274799302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567171, s2 = 11599546, dlinesl.size( ) = 14 s1 = 11567199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13902783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16137969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16137969, s2 = 4671120, int(edited[s2]) = 0 s1 = 16137969, s2 = 4671120, d1 = 13, d2 = 9 Dl.O(d1) = 225992625,227873626,229526060,230993851,232309307,266303217,234576139,235558431,236453395,237270483,238014326,238691210,238461789,237763611,236995556,266536408,235231765,274674162,233102253,231867969,231867970,233102255,234217950 Dl.O(d2) = 228955533,227209326,225210109,222910317,220240845,217089396,213298163,208666537,203030738,196304017,188438257,179406169,169137178,157694259,145282421,132044734,118224679,104065468,89936086,76130217,257662544,41230292,41230293,35126431,35126432,36457208,46310007,255477272,26675361,26675359,34668526,43942692,42015718,33071709,25341881,18761703,18761702,18761705,13359885,9130503,5975061,3736687,3736686,5975058,3737019,3737018,5975605,9131292,13361059,18761701,25341879,33071706,37502242,28959466,21677881,15638860,10822082,10822081,7152052,4503902,2706544,2706545,4503903,7152053,10822111,15638890,21677926,28959518,37502316,47409695,58796584,71525802,85097465,99022373,113010296,126862254,140209087,262192443,175484074,185023869,193354330,264191769,211529653,264970983,221819057,265548425,228215516,266506701,237426980,266728623,239421617,239982214,240501797,240984262,241430607,241844388,241979509,241579734,241147728,266863556,239631819,239042778,238402303,237700290,236927865,236079314,235146387,234121008,232994042,231748322,230361568,228801136,227029797,224999291,265229068,219940101,216714327,264261950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16137969, s2 = 4671120, dlinesl.size( ) = 8 s1 = 11567459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567459, s2 = 4913920, int(edited[s2]) = 0 s1 = 11567459, s2 = 4913920, d1 = 75, d2 = 66 Dl.O(d1) = 265902058,230347823,231735946,232983137,234112085,235139040,236072987,236922353,266752513,237695505,266687001 Dl.O(d2) = 264574207,202253863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567459, s2 = 4913920, dlinesl.size( ) = 66 s1 = 11567499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567499, s2 = 11618750, int(edited[s2]) = 0 s1 = 11567499, s2 = 11618750, d1 = 11, d2 = 12 Dl.O(d1) = 266538363 Dl.O(d2) = 274941300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567499, s2 = 11618750, dlinesl.size( ) = 14 s1 = 13889616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11567531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567531, s2 = 11433134, int(edited[s2]) = 0 s1 = 11567531, s2 = 11433134, d1 = 32, d2 = 28 Dl.O(d1) = 266091512 Dl.O(d2) = 264449368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567531, s2 = 11433134, dlinesl.size( ) = 42 s1 = 11567569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567569, s2 = 11352504, int(edited[s2]) = 0 s1 = 11567569, s2 = 11352504, d1 = 34, d2 = 30 Dl.O(d1) = 266753329,239635796 Dl.O(d2) = 274265120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567569, s2 = 11352504, dlinesl.size( ) = 50 s1 = 11567631, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11567729, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11567759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567759, s2 = 10392542, int(edited[s2]) = 0 s1 = 11567759, s2 = 10392542, d1 = 5, d2 = 10 Dl.O(d1) = 266456971 Dl.O(d2) = 266924769,239658766,266873129,240706229,274873124,240706225,240202897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567759, s2 = 10392542, dlinesl.size( ) = 12 s1 = 13866117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11567971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567971, s2 = 11599962, int(edited[s2]) = 0 s1 = 11567971, s2 = 11599962, d1 = 9, d2 = 11 Dl.O(d1) = 266461165 Dl.O(d2) = 274802321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567971, s2 = 11599962, dlinesl.size( ) = 2 s1 = 11567971, s2 = 11599962, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11567971, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11568077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568077, s2 = 11433536, int(edited[s2]) = 0 s1 = 11568077, s2 = 11433536, d1 = 42, d2 = 30 Dl.O(d1) = 274550246 Dl.O(d2) = 262891653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568077, s2 = 11433536, dlinesl.size( ) = 34 s1 = 11568295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568295, s2 = 11564450, int(edited[s2]) = 0 s1 = 11568295, s2 = 11564450, d1 = 1, d2 = 1 Dl.O(d1) = 233184632,266275771,234289002,266168131,230607673 Dl.O(d2) = 233184632,266275771,234289002,266168131,230607673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568295, s2 = 11564450, dlinesl.size( ) = 2 s1 = 11568295, s2 = 11564450, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11568295, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11568309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568309, s2 = 11442110, int(edited[s2]) = 0 s1 = 11568309, s2 = 11442110, d1 = 5, d2 = 19 Dl.O(d1) = 266033746 Dl.O(d2) = 274295428,274124008,273753060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568309, s2 = 11442110, dlinesl.size( ) = 20 s1 = 14779280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568389, s2 = 11519950, int(edited[s2]) = 0 s1 = 11568389, s2 = 11519950, d1 = 8, d2 = 0 Dl.O(d1) = 266071358 Dl.O(d2) = 223163882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568389, s2 = 11519950, dlinesl.size( ) = 12 s1 = 11568397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568397, s2 = 11604132, int(edited[s2]) = 0 s1 = 11568397, s2 = 11604132, d1 = 0, d2 = 22 Dl.O(d1) = 234303796 Dl.O(d2) = 266979467,241003392 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568397, s2 = 11604132, dlinesl.size( ) = 24 s1 = 11568669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568669, s2 = 11571298, int(edited[s2]) = 0 s1 = 11568669, s2 = 11571298, d1 = 7, d2 = 9 Dl.O(d1) = 234349943 Dl.O(d2) = 234349947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568669, s2 = 11571298, dlinesl.size( ) = 14 s1 = 11568753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568753, s2 = 11524698, int(edited[s2]) = 0 s1 = 11568753, s2 = 11524698, d1 = 20, d2 = 16 Dl.O(d1) = 274542722 Dl.O(d2) = 266243984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568753, s2 = 11524698, dlinesl.size( ) = 24 s1 = 11568789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568951, s2 = 11410802, int(edited[s2]) = 0 s1 = 11568951, s2 = 11410802, d1 = 31, d2 = 34 Dl.O(d1) = 265798806 Dl.O(d2) = 214167633,209747852,263363420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568951, s2 = 11410802, dlinesl.size( ) = 2 s1 = 11568951, s2 = 11410802, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11568951, Dl.E( ) = 44, 2e-05 seconds used appending s1 = 11568957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568957, s2 = 11259432, int(edited[s2]) = 0 s1 = 11568957, s2 = 11259432, d1 = 8, d2 = 13 Dl.O(d1) = 274336492,264456218,262152804,261080540 Dl.O(d2) = 42801053,33769278,25960358,19295317,13795448,9459820,9459819,13795443,17408381,17408383,22639763,17077564,16732129,255509111,30369419,24032582,24032581,31534914,33980351,26140876,26140875,28849119,37389068,31799048,24284929,17904025,17904023,22653461,30026758,35119058,35119057,40868411,32096622,24521402,18089809,12824725,12824728,18089733,18089734,24521238,18089698,12824665,12824664,16451093,22640394,30011899,256967473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568957, s2 = 11259432, dlinesl.size( ) = 8 s1 = 11569001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14213648, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15958317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11997408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569191, s2 = 10396185, int(edited[s2]) = 0 s1 = 11569191, s2 = 10396185, d1 = 19, d2 = 25 Dl.O(d1) = 266072001 Dl.O(d2) = 233385635,266187589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13891154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13891154, s2 = 14632542, int(edited[s2]) = 0 s1 = 13891154, s2 = 14632542, d1 = 68, d2 = 55 Dl.O(d1) = 229963990,231388410,232665217,274666107,235825471,266482882,234868983,233819145,233819144,234868982,235468943,235468944,236370704,235825474,234868984,234868985,235825477,235468935,234480783,233394930,274583278,230873944,265948338,229395139,230873944,266188321,234480779,235468932,234480785,234480786,235468941,236370704,235825474,235825475,274685546,233819148,233819149,234868990,235468938,234480784,233394930,233394929,234480781,233394932,266072782,229395141,227729835,225831746 Dl.O(d2) = 259071577,106785669,261475533,134841862,121042318,261199419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13891154, s2 = 14632542, dlinesl.size( ) = 20 s1 = 11569433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569433, s2 = 14055836, int(edited[s2]) = 0 s1 = 11569433, s2 = 14055836, d1 = 24, d2 = 22 Dl.O(d1) = 266077798,230930560,265670720 Dl.O(d2) = 263431010,262572864,162467398,150332450,137290893,123558900,123558901,123558898,109367659,95113638,81056280,258525368,257305454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569433, s2 = 14055836, dlinesl.size( ) = 8 s1 = 11569461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569461, s2 = 10472529, int(edited[s2]) = 0 s1 = 11569461, s2 = 10472529, d1 = 0, d2 = 30 Dl.O(d1) = 234527765 Dl.O(d2) = 266567959,237464552,237464551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11569547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569547, s2 = 10407375, int(edited[s2]) = 0 s1 = 11569547, s2 = 10407375, d1 = 28, d2 = 25 Dl.O(d1) = 233468787,232277771 Dl.O(d2) = 266287776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569845, s2 = 11542056, int(edited[s2]) = 0 s1 = 11569845, s2 = 11542056, d1 = 8, d2 = 0 Dl.O(d1) = 266254280 Dl.O(d2) = 226074652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569845, s2 = 11542056, dlinesl.size( ) = 8 s1 = 15079723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570057, s2 = 11330336, int(edited[s2]) = 0 s1 = 11570057, s2 = 11330336, d1 = 9, d2 = 6 Dl.O(d1) = 265706214 Dl.O(d2) = 261674830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570057, s2 = 11330336, dlinesl.size( ) = 14 s1 = 11570069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15278267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15278267, s2 = 11570086, int(edited[s2]) = 0 s1 = 15278267, s2 = 11570086, d1 = 5, d2 = 12 Dl.O(d1) = 241296035 Dl.O(d2) = 266407894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15278267, s2 = 11570086, dlinesl.size( ) = 2 s1 = 15278267, s2 = 11570086, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15278267, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 13892174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570355, s2 = 11546564, int(edited[s2]) = 0 s1 = 11570355, s2 = 11546564, d1 = 8, d2 = 0 Dl.O(d1) = 233666199 Dl.O(d2) = 229761489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570355, s2 = 11546564, dlinesl.size( ) = 14 s1 = 11570417, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11570421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570421, s2 = 11339476, int(edited[s2]) = 0 s1 = 11570421, s2 = 11339476, d1 = 10, d2 = 12 Dl.O(d1) = 266317686,265700779,274187094 Dl.O(d2) = 263511916,152900194,140210058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570421, s2 = 11339476, dlinesl.size( ) = 8 s1 = 11570455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570455, s2 = 11601436, int(edited[s2]) = 0 s1 = 11570455, s2 = 11601436, d1 = 0, d2 = 28 Dl.O(d1) = 234744586 Dl.O(d2) = 266789356,266726355,239398694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570455, s2 = 11601436, dlinesl.size( ) = 30 s1 = 11570567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570567, s2 = 11522400, int(edited[s2]) = 0 s1 = 11570567, s2 = 11522400, d1 = 19, d2 = 22 Dl.O(d1) = 233699241 Dl.O(d2) = 264967359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570567, s2 = 11522400, dlinesl.size( ) = 26 s1 = 11570655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11997966, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11570759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570759, s2 = 11393976, int(edited[s2]) = 0 s1 = 11570759, s2 = 11393976, d1 = 25, d2 = 15 Dl.O(d1) = 233740527,266398038 Dl.O(d2) = 263121423,261682763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570759, s2 = 11393976, dlinesl.size( ) = 32 s1 = 11570789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570789, s2 = 11479982, int(edited[s2]) = 0 s1 = 11570789, s2 = 11479982, d1 = 36, d2 = 0 Dl.O(d1) = 266324884 Dl.O(d2) = 200626548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570789, s2 = 11479982, dlinesl.size( ) = 20 s1 = 11570907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570907, s2 = 10371719, int(edited[s2]) = 0 s1 = 11570907, s2 = 10371719, d1 = 18, d2 = 7 Dl.O(d1) = 274561354 Dl.O(d2) = 63306027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570907, s2 = 10371719, dlinesl.size( ) = 20 s1 = 11570945, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11570959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570959, s2 = 11601742, int(edited[s2]) = 0 s1 = 11570959, s2 = 11601742, d1 = 2, d2 = 7 Dl.O(d1) = 265860812 Dl.O(d2) = 241003675,266795190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570959, s2 = 11601742, dlinesl.size( ) = 12 s1 = 11571077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571077, s2 = 11030159, int(edited[s2]) = 0 s1 = 11571077, s2 = 11030159, d1 = 70, d2 = 65 Dl.O(d1) = 265995622,265199108 Dl.O(d2) = 254682825,2417724,2417723,1399586,796617,451567,254450,140827,77090,41959,41960,77093,140834,140927,254612,451852,797166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571077, s2 = 11030159, dlinesl.size( ) = 26 s1 = 11571103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571103, s2 = 11565574, int(edited[s2]) = 0 s1 = 11571103, s2 = 11565574, d1 = 35, d2 = 52 Dl.O(d1) = 233801047 Dl.O(d2) = 214914311,211657260,274189600,221891741,265988225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571103, s2 = 11565574, dlinesl.size( ) = 2 s1 = 11571103, s2 = 11565574, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11571103, Dl.E( ) = 60, 1.79e-05 seconds used appending s1 = 11571117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571117, s2 = 14028836, int(edited[s2]) = 0 s1 = 11571117, s2 = 14028836, d1 = 88, d2 = 90 Dl.O(d1) = 274622722,235811882,235811883,236683398,237477738,238199118,238856073 Dl.O(d2) = 66001034,53930423,53930422,53930423,256710311,26425029,19687714,14115547,9711159,6388806,4009521,2403060,1390510,790686,790689,771653,438387,438383,442012,447631,251844,138975,138978,251855,447671,790541,267782155,4008730,6387882,9710208,255309085,26423601,34300668,43401526,53927920,49969442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571117, s2 = 14028836, dlinesl.size( ) = 22 s1 = 11571515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571515, s2 = 6377770, int(edited[s2]) = 0 s1 = 11571515, s2 = 6377770, d1 = 63, d2 = 49 Dl.O(d1) = 234914437,235866421,236733868,237524445,238242577 Dl.O(d2) = 247274696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571515, s2 = 6377770, dlinesl.size( ) = 24 s1 = 11571545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571545, s2 = 11518058, int(edited[s2]) = 0 s1 = 11571545, s2 = 11518058, d1 = 6, d2 = 6 Dl.O(d1) = 233874399,266235404,231881449,265872352,228444218,226627326,265459954 Dl.O(d2) = 233874399,266235404,231881449,265872352,228444218,226627326,265459954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571545, s2 = 11518058, dlinesl.size( ) = 2 s1 = 11571545, s2 = 11518058, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11571545, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11571589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571589, s2 = 11580820, int(edited[s2]) = 0 s1 = 11571589, s2 = 11580820, d1 = 3, d2 = 23 Dl.O(d1) = 234929589 Dl.O(d2) = 240059049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571589, s2 = 11580820, dlinesl.size( ) = 44 s1 = 11571807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571807, s2 = 11549778, int(edited[s2]) = 0 s1 = 11571807, s2 = 11549778, d1 = 20, d2 = 0 Dl.O(d1) = 233923636 Dl.O(d2) = 228513901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571807, s2 = 11549778, dlinesl.size( ) = 26 s1 = 11571911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571911, s2 = 11516262, int(edited[s2]) = 0 s1 = 11571911, s2 = 11516262, d1 = 11, d2 = 12 Dl.O(d1) = 233946201 Dl.O(d2) = 265594616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571911, s2 = 11516262, dlinesl.size( ) = 14 s1 = 11572055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11572069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11572069, s2 = 11474466, int(edited[s2]) = 0 s1 = 11572069, s2 = 11474466, d1 = 11, d2 = 7 Dl.O(d1) = 266281050,265930314 Dl.O(d2) = 264261391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11572069, s2 = 11474466, dlinesl.size( ) = 12 s1 = 7051324, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11572497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11572497, s2 = 11630688, int(edited[s2]) = 0 s1 = 11572497, s2 = 11630688, d1 = 5, d2 = 1 Dl.O(d1) = 266811443 Dl.O(d2) = 241962228,274905407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11572497, s2 = 11630688, dlinesl.size( ) = 22 s1 = 16279631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16279631, s2 = 10452238, int(edited[s2]) = 0 s1 = 16279631, s2 = 10452238, d1 = 110, d2 = 77 Dl.O(d1) = 261838580,180693919,180693917,180693918,189591742,197280472,203839145,209314142,213804739,217489344,220562640,223176614,225435900,227399956,229117792,230635505,266027424 Dl.O(d2) = 267479046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16279631, s2 = 10452238, dlinesl.size( ) = 20 s1 = 11572933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11572933, s2 = 11599658, int(edited[s2]) = 0 s1 = 11572933, s2 = 11599658, d1 = 0, d2 = 22 Dl.O(d1) = 235182605 Dl.O(d2) = 266921726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11572933, s2 = 11599658, dlinesl.size( ) = 36 s1 = 11573143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573143, s2 = 11556294, int(edited[s2]) = 0 s1 = 11573143, s2 = 11556294, d1 = 10, d2 = 8 Dl.O(d1) = 266345844 Dl.O(d2) = 266264802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573143, s2 = 11556294, dlinesl.size( ) = 14 s1 = 11573161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573161, s2 = 11655190, int(edited[s2]) = 0 s1 = 11573161, s2 = 11655190, d1 = 9, d2 = 7 Dl.O(d1) = 266927793,267021129 Dl.O(d2) = 242243787,242243788,242393404,242026399,267102123,242596706,242596705,242925279,267197710,242733843,242596709,242243789,241862638,241449400,241449399,241862636,242026397,241628092,241628091,242026396,242243786,242026397,241628092,241628091,267102121,242596707,242393404,242026399,267102123,242596706,267055628,241862636,242026397,241628092,241628091,242026396,242393402,242733843,242596709,242243789,241862638,241449400,241004081,266866716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573161, s2 = 11655190, dlinesl.size( ) = 2 s1 = 11573161, s2 = 11655190, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11573161, Dl.E( ) = 10, 3.81e-06 seconds used appending s1 = 10825841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11573259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573259, s2 = 14142222, int(edited[s2]) = 0 s1 = 11573259, s2 = 14142222, d1 = 5, d2 = 15 Dl.O(d1) = 234252327 Dl.O(d2) = 233143396,265819642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573259, s2 = 14142222, dlinesl.size( ) = 26 s1 = 11573335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573335, s2 = 8736784, int(edited[s2]) = 0 s1 = 11573335, s2 = 8736784, d1 = 48, d2 = 14 Dl.O(d1) = 266269612,233162758,265914920,265623152,227322534,229051039,230577074 Dl.O(d2) = 262882186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573335, s2 = 8736784, dlinesl.size( ) = 32 s1 = 11573617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573617, s2 = 11603048, int(edited[s2]) = 0 s1 = 11573617, s2 = 11603048, d1 = 1, d2 = 17 Dl.O(d1) = 235330577 Dl.O(d2) = 266825663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573617, s2 = 11603048, dlinesl.size( ) = 20 s1 = 11573857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573857, s2 = 11501712, int(edited[s2]) = 0 s1 = 11573857, s2 = 11501712, d1 = 13, d2 = 10 Dl.O(d1) = 234384207,266091048 Dl.O(d2) = 265351834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573857, s2 = 11501712, dlinesl.size( ) = 14 s1 = 11574053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574053, s2 = 11115276, int(edited[s2]) = 0 s1 = 11574053, s2 = 11115276, d1 = 23, d2 = 29 Dl.O(d1) = 265862690 Dl.O(d2) = 263894772,262707578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574053, s2 = 11115276, dlinesl.size( ) = 44 s1 = 11574129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11574311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574311, s2 = 10504210, int(edited[s2]) = 0 s1 = 11574311, s2 = 10504210, d1 = 1, d2 = 3 Dl.O(d1) = 235468145 Dl.O(d2) = 239254891,266833630,240854548,266987006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574311, s2 = 10504210, dlinesl.size( ) = 8 s1 = 11574501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574501, s2 = 11439316, int(edited[s2]) = 0 s1 = 11574501, s2 = 11439316, d1 = 20, d2 = 3 Dl.O(d1) = 235506663 Dl.O(d2) = 206550500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574501, s2 = 11439316, dlinesl.size( ) = 38 s1 = 16093150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11575109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575109, s2 = 11438212, int(edited[s2]) = 0 s1 = 11575109, s2 = 11438212, d1 = 8, d2 = 10 Dl.O(d1) = 266433084 Dl.O(d2) = 274198326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575109, s2 = 11438212, dlinesl.size( ) = 12 s1 = 11575841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11575897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575897, s2 = 11563848, int(edited[s2]) = 0 s1 = 11575897, s2 = 11563848, d1 = 7, d2 = 10 Dl.O(d1) = 266588667 Dl.O(d2) = 266774496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575897, s2 = 11563848, dlinesl.size( ) = 14 s1 = 11575941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575941, s2 = 10491009, int(edited[s2]) = 0 s1 = 11575941, s2 = 10491009, d1 = 1, d2 = 4 Dl.O(d1) = 235784713 Dl.O(d2) = 238179770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575941, s2 = 10491009, dlinesl.size( ) = 12 s1 = 11575961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575961, s2 = 11592212, int(edited[s2]) = 0 s1 = 11575961, s2 = 11592212, d1 = 2, d2 = 7 Dl.O(d1) = 234828607 Dl.O(d2) = 266327801,232618316,231338309,231338310,274664945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575961, s2 = 11592212, dlinesl.size( ) = 10 s1 = 11575979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11576169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576169, s2 = 14149536, int(edited[s2]) = 0 s1 = 11576169, s2 = 14149536, d1 = 1, d2 = 28 Dl.O(d1) = 234867512 Dl.O(d2) = 238864460,238864461,238208500,237488381,237488380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576169, s2 = 14149536, dlinesl.size( ) = 26 s1 = 11576211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11576259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576259, s2 = 11602912, int(edited[s2]) = 0 s1 = 11576259, s2 = 11602912, d1 = 57, d2 = 55 Dl.O(d1) = 235843845,274662692 Dl.O(d2) = 266339935,274820782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576259, s2 = 11602912, dlinesl.size( ) = 54 s1 = 11576353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576353, s2 = 11577966, int(edited[s2]) = 0 s1 = 11576353, s2 = 11577966, d1 = 0, d2 = 11 Dl.O(d1) = 235860085 Dl.O(d2) = 266417059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576353, s2 = 11577966, dlinesl.size( ) = 14 s1 = 11576451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576451, s2 = 12690006, int(edited[s2]) = 0 s1 = 11576451, s2 = 12690006, d1 = 12, d2 = 7 Dl.O(d1) = 265340612 Dl.O(d2) = 231465627,230049547,230049548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576451, s2 = 12690006, dlinesl.size( ) = 12 s1 = 11576529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576529, s2 = 11564160, int(edited[s2]) = 0 s1 = 11576529, s2 = 11564160, d1 = 21, d2 = 23 Dl.O(d1) = 274726427 Dl.O(d2) = 236876740,266569550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576529, s2 = 11564160, dlinesl.size( ) = 26 s1 = 11576665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576665, s2 = 11442916, int(edited[s2]) = 0 s1 = 11576665, s2 = 11442916, d1 = 4, d2 = 0 Dl.O(d1) = 234973499 Dl.O(d2) = 176849826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576665, s2 = 11442916, dlinesl.size( ) = 14 s1 = 11576743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576743, s2 = 11602422, int(edited[s2]) = 0 s1 = 11576743, s2 = 11602422, d1 = 3, d2 = 19 Dl.O(d1) = 235933071 Dl.O(d2) = 266963669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576743, s2 = 11602422, dlinesl.size( ) = 20 s1 = 13898068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11576935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576935, s2 = 10486166, int(edited[s2]) = 0 s1 = 11576935, s2 = 10486166, d1 = 14, d2 = 3 Dl.O(d1) = 235385774,235385775,234932057 Dl.O(d2) = 231474303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576935, s2 = 10486166, dlinesl.size( ) = 14 s1 = 14113399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113399, s2 = 14004438, int(edited[s2]) = 0 s1 = 14113399, s2 = 14004438, d1 = 87, d2 = 4 Dl.O(d1) = 274180864,197146604,203719943,209211326,213718333,217416902,220501969,223126266,223126269,265923615 Dl.O(d2) = 12068673,14505873,15290570,15267447,10559668,6964677,4375621,4375623,6962063,5964671,3729891,3729894,2619293,1512147,857359,857356,1512050,1512049,2614981,2614983,4363625,6943488,10528178,10528533,10528536,12064576,12064575,15284347,21236506,15267915,10535144,10535145,10533356,10533355,13327945,13327944,15266310,15266309,20147819,20147820,21230913,15261073,10529309,6944179,6069449,3797497,2274589,2274588,3797494,6069443,9266408,10551307,10550697,10550699,10528212,6943515,6943512,6943486,6943488,10528178,10528533,10528536,11394772,11394769,12068063,12068061,10544527,6954055,4369430,4369433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113399, s2 = 14004438, dlinesl.size( ) = 10 s1 = 11577067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577067, s2 = 11596426, int(edited[s2]) = 0 s1 = 11577067, s2 = 11596426, d1 = 30, d2 = 25 Dl.O(d1) = 235990402,235047725,235047726 Dl.O(d2) = 266680391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577067, s2 = 11596426, dlinesl.size( ) = 32 s1 = 11577277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577277, s2 = 11442882, int(edited[s2]) = 0 s1 = 11577277, s2 = 11442882, d1 = 118, d2 = 100 Dl.O(d1) = 236031233,266611363,236031234,266355069,266448229,266683571,236031229,274672959,266194326,216557737 Dl.O(d2) = 142162842,261431072,263943153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577277, s2 = 11442882, dlinesl.size( ) = 38 s1 = 13898914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577713, s2 = 11554990, int(edited[s2]) = 0 s1 = 11577713, s2 = 11554990, d1 = 18, d2 = 0 Dl.O(d1) = 266038016 Dl.O(d2) = 222761640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577713, s2 = 11554990, dlinesl.size( ) = 20 s1 = 11577759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577759, s2 = 10431099, int(edited[s2]) = 0 s1 = 11577759, s2 = 10431099, d1 = 0, d2 = 38 Dl.O(d1) = 236126185 Dl.O(d2) = 241610945,274882198,241179825,267019285,241179823,241179820,240714032,266874260,266818016,238442223,237742312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11577775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577775, s2 = 11445908, int(edited[s2]) = 0 s1 = 11577775, s2 = 11445908, d1 = 12, d2 = 3 Dl.O(d1) = 266267002,231822847,265939232 Dl.O(d2) = 264889506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577775, s2 = 11445908, dlinesl.size( ) = 14 s1 = 11573070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573070, s2 = 9048872, int(edited[s2]) = 0 s1 = 11573070, s2 = 9048872, d1 = 31, d2 = 6 Dl.O(d1) = 212027987,216022707,219332033,265570673,224528547,226614055,225149579,222837696,220151940,265620961,222837697,222837698,265453912,228913521,230460707,230460710,230460709,231835984,233073322,266544382,274610022,233073319,234192118 Dl.O(d2) = 231835983,231835984,266159702,230460708,265913068,231835981,231835982,266267954,230460710,228913524,227159101,225149584,222837700,220151942,274027436,208466253,202784619,202784618,208466252,213148574,265773365,265620958,265269918,202784619,196019485,196019486,265067791,213148580,208466256,202784621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573070, s2 = 9048872, dlinesl.size( ) = 28 s1 = 11577927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577927, s2 = 11549248, int(edited[s2]) = 0 s1 = 11577927, s2 = 11549248, d1 = 11, d2 = 12 Dl.O(d1) = 266270587 Dl.O(d2) = 265776789,225212495,222913307,220244764,217094644,213305131,208675256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577927, s2 = 11549248, dlinesl.size( ) = 14 s1 = 11577959, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11577965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577965, s2 = 11576354, int(edited[s2]) = 0 s1 = 11577965, s2 = 11576354, d1 = 10, d2 = 9 Dl.O(d1) = 266417058 Dl.O(d2) = 239105308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577965, s2 = 11576354, dlinesl.size( ) = 14 s1 = 11578229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578229, s2 = 10806587, int(edited[s2]) = 0 s1 = 11578229, s2 = 10806587, d1 = 16, d2 = 30 Dl.O(d1) = 266364754 Dl.O(d2) = 239145199,239728340,274853391,239657975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578229, s2 = 10806587, dlinesl.size( ) = 26 s1 = 12000520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11578245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578245, s2 = 11489838, int(edited[s2]) = 0 s1 = 11578245, s2 = 11489838, d1 = 12, d2 = 8 Dl.O(d1) = 266402172,235309318,266085410 Dl.O(d2) = 274502714,274331104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578245, s2 = 11489838, dlinesl.size( ) = 14 s1 = 11578631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11578707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578707, s2 = 14135989, int(edited[s2]) = 0 s1 = 11578707, s2 = 14135989, d1 = 10, d2 = 19 Dl.O(d1) = 266174616 Dl.O(d2) = 229268522,227569486,227569483,227569484,225627395,223394675,264876306,214146664,217779623,265489383,227569483,227569484,225627395,223394675,223394674,220812345,265096538,225627394,227569484,227569485,227569489,265477956,223394676,220812347,220812348,223394678,225627398,227569478,227569479,227569476,227456848,225499008,223248800,265642601,229169428,227569488,227569487,229268525,274536640,229268530,265477958,220812350,217779626,214146665,209722143,209722142,214146664,217779624,220812348,223394678,225627398,227569478,227569479,227569476,227456848,225499008,223248800,265642601,229169428,227569488,227569487,229268525,274536640,229268530,265477958,220812350,217779626,214146665,209722143,209722142,214146664,217779624,220812348,223394678,225627398,227569478,227569479,227569476,227456848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578707, s2 = 14135989, dlinesl.size( ) = 14 s1 = 15961109, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11578755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578755, s2 = 10532305, int(edited[s2]) = 0 s1 = 11578755, s2 = 10532305, d1 = 24, d2 = 22 Dl.O(d1) = 235415689,234421781 Dl.O(d2) = 233329802,232124606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578755, s2 = 10532305, dlinesl.size( ) = 28 s1 = 11578797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578797, s2 = 11536384, int(edited[s2]) = 0 s1 = 11578797, s2 = 11536384, d1 = 7, d2 = 8 Dl.O(d1) = 235424625 Dl.O(d2) = 265796140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578797, s2 = 11536384, dlinesl.size( ) = 12 s1 = 11578829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578829, s2 = 11494698, int(edited[s2]) = 0 s1 = 11578829, s2 = 11494698, d1 = 9, d2 = 2 Dl.O(d1) = 235434968,234444243,233355831,232155164,230824643,229335890,229335889,229335891,227656796,225740868,225740867,227656795 Dl.O(d2) = 265415242,221007768,218042921,214507780,210207462,204947695,198601577,273565508,182408299,172456516,161256463,148951045,135711791,260668666,107385899,92974867,78862839,258205860,53501455,43022189,33964603,26126405,19431846,13903793,11957455,8004656,8004655,11957451,10589448,255028707,21300454,28521580,37019602,46897972,58264607,70980173,84543405,98465426,109345621,95091449,81033330,257903077,44369265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578829, s2 = 11494698, dlinesl.size( ) = 2 s1 = 11578829, s2 = 11494698, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11578829, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11578837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578837, s2 = 11512548, int(edited[s2]) = 0 s1 = 11578837, s2 = 11512548, d1 = 3, d2 = 10 Dl.O(d1) = 235437091 Dl.O(d2) = 265695744,227662293,225748061,223552243,221018012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578837, s2 = 11512548, dlinesl.size( ) = 14 s1 = 11578885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578885, s2 = 10495313, int(edited[s2]) = 0 s1 = 11578885, s2 = 10495313, d1 = 21, d2 = 17 Dl.O(d1) = 235449092,234458826,234458827,235449093 Dl.O(d2) = 234458825,274684781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578885, s2 = 10495313, dlinesl.size( ) = 26 s1 = 11578923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578923, s2 = 14135664, int(edited[s2]) = 0 s1 = 11578923, s2 = 14135664, d1 = 29, d2 = 3 Dl.O(d1) = 235454362 Dl.O(d2) = 221101738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578923, s2 = 14135664, dlinesl.size( ) = 36 s1 = 15256157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579159, s2 = 10642586, int(edited[s2]) = 0 s1 = 11579159, s2 = 10642586, d1 = 21, d2 = 22 Dl.O(d1) = 266078230,232248729,230929052,229456253 Dl.O(d2) = 230929055,229456254,227798437,225910025,223745156,221247166,218330998,214861668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579159, s2 = 10642586, dlinesl.size( ) = 20 s1 = 11579235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579469, s2 = 11548188, int(edited[s2]) = 0 s1 = 11579469, s2 = 11548188, d1 = 9, d2 = 7 Dl.O(d1) = 266305073 Dl.O(d2) = 265827385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579469, s2 = 11548188, dlinesl.size( ) = 14 s1 = 11579471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579471, s2 = 11052306, int(edited[s2]) = 0 s1 = 11579471, s2 = 11052306, d1 = 24, d2 = 20 Dl.O(d1) = 266305098,264935786,215072903,218509885 Dl.O(d2) = 273081130,256804416,51737171,51737172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579471, s2 = 11052306, dlinesl.size( ) = 20 s1 = 11579479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579479, s2 = 13170094, int(edited[s2]) = 0 s1 = 11579479, s2 = 13170094, d1 = 47, d2 = 119 Dl.O(d1) = 236474746 Dl.O(d2) = 131184917,117381022,259913070,75412709,62493858,50894011,40777777,32021514,26997862,20107175,18041180,12788688,8694145,5658605,3518957,3518958,5658611,6998930,5756160,3584452,3584447,3589248,2139879,1235653,1235650,2139872,3589233,5762522,3853200,3853199,4436834,6414998,254681327,14192445,19813619,20107176,26997864,32021515,256744627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579479, s2 = 13170094, dlinesl.size( ) = 2 s1 = 11579479, s2 = 13170094, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11579479, Dl.E( ) = 120, 7.2e-05 seconds used appending s1 = 13897952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12001236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11580505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580505, s2 = 14082606, int(edited[s2]) = 0 s1 = 11580505, s2 = 14082606, d1 = 35, d2 = 5 Dl.O(d1) = 274274700,232654854,274632683 Dl.O(d2) = 185540299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580505, s2 = 14082606, dlinesl.size( ) = 32 s1 = 11580521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580521, s2 = 14133078, int(edited[s2]) = 0 s1 = 11580521, s2 = 14133078, d1 = 39, d2 = 42 Dl.O(d1) = 266331171,265995095,274465478 Dl.O(d2) = 264988443,211819976,206883838,263896789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580521, s2 = 14133078, dlinesl.size( ) = 44 s1 = 11580625, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11580819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580819, s2 = 11571590, int(edited[s2]) = 0 s1 = 11580819, s2 = 11571590, d1 = 7, d2 = 25 Dl.O(d1) = 235881006 Dl.O(d2) = 226644199,224561591,265212175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580819, s2 = 11571590, dlinesl.size( ) = 34 s1 = 11581047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581047, s2 = 16334543, int(edited[s2]) = 0 s1 = 11581047, s2 = 16334543, d1 = 0, d2 = 21 Dl.O(d1) = 236793491,266600630 Dl.O(d2) = 240089476,240089477,266913208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581047, s2 = 16334543, dlinesl.size( ) = 14 s1 = 11581107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581107, s2 = 11615374, int(edited[s2]) = 0 s1 = 11581107, s2 = 11615374, d1 = 0, d2 = 13 Dl.O(d1) = 236806696 Dl.O(d2) = 266805495,238303426,238303427,238951873,274834265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581107, s2 = 11615374, dlinesl.size( ) = 14 s1 = 11581217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581217, s2 = 11526162, int(edited[s2]) = 0 s1 = 11581217, s2 = 11526162, d1 = 12, d2 = 14 Dl.O(d1) = 266538602 Dl.O(d2) = 266151668,228808216,265609942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581217, s2 = 11526162, dlinesl.size( ) = 20 s1 = 11581549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13902804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13902804, s2 = 7211638, int(edited[s2]) = 0 s1 = 13902804, s2 = 7211638, d1 = 16, d2 = 10 Dl.O(d1) = 238378577,266631062,266472238,236048492,266175616,232948734,234081073,235111770,236048498,235111804,234081092,232948756,232948757,234081094,235111809,236048502,235111773,266058898,231697483,265932310,234081075,235111775,236048503,236900234,236900261,236900259 Dl.O(d2) = 234081044,234081043,235111730,235111786,235111787,266381496,235111799,234081089,232948751,232948750,234081087,266175620,232948754,265794480,228739926,228739925,230305310,231697497,232948765,234081105,235111749,266381476,237675131,236900236,236048505,235111776,235111775,266282552,232948771,231697500,265644062,224923085,264878200,264063056,202122706,262939746,262480592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13902804, s2 = 7211638, dlinesl.size( ) = 2 s1 = 13902804, s2 = 7211638, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13902804, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 11581583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581583, s2 = 16293836, int(edited[s2]) = 0 s1 = 11581583, s2 = 16293836, d1 = 12, d2 = 16 Dl.O(d1) = 236408225,235508711,235508710,235020527 Dl.O(d2) = 274700973,265953750,230182384,272460066,11986743,15407895,10650028,10650027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581583, s2 = 16293836, dlinesl.size( ) = 8 s1 = 11581827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11581899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581899, s2 = 11613288, int(edited[s2]) = 0 s1 = 11581899, s2 = 11613288, d1 = 13, d2 = 8 Dl.O(d1) = 266816481 Dl.O(d2) = 242000857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581899, s2 = 11613288, dlinesl.size( ) = 28 s1 = 11582163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582163, s2 = 10663950, int(edited[s2]) = 0 s1 = 11582163, s2 = 10663950, d1 = 12, d2 = 14 Dl.O(d1) = 266444202 Dl.O(d2) = 274522088,265593026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582163, s2 = 10663950, dlinesl.size( ) = 16 s1 = 15960649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15960649, s2 = 14145008, int(edited[s2]) = 0 s1 = 15960649, s2 = 14145008, d1 = 2, d2 = 1 Dl.O(d1) = 216830810,220035995,222743192,225069888,227091841,228857030,266037253,233036018,234158717,235180287,236110785,266618509,237730140,266695918 Dl.O(d2) = 234517579,233435329,232243946,230924062,265780952,221237831,218320162,214849179,210631715,205469556,273619328,183279480,173472243,162429597,150293891,137253817,123523578,109332192,95077521,81018604,67548911,55205100,44354567,44354569,41015748,32225335,24629688,18175804,18175802,18835191,25428921,25429055,21937158,16842055,11778076,11778079,13837853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15960649, s2 = 14145008, dlinesl.size( ) = 2 s1 = 15960649, s2 = 14145008, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 15960649, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11582365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582365, s2 = 14147862, int(edited[s2]) = 0 s1 = 11582365, s2 = 14147862, d1 = 3, d2 = 9 Dl.O(d1) = 236209910 Dl.O(d2) = 233184701,231963566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582365, s2 = 14147862, dlinesl.size( ) = 14 s1 = 11582491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582703, s2 = 11637414, int(edited[s2]) = 0 s1 = 11582703, s2 = 11637414, d1 = 33, d2 = 26 Dl.O(d1) = 237120365,237876197,238564914,239196581,239776732,240312259,240809230,241269801,241696294,242090479,242454188,242791426,242791419,242454181,242454182,242791420 Dl.O(d2) = 267461593,275026047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582703, s2 = 11637414, dlinesl.size( ) = 24 s1 = 13903900, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13899905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11583637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583637, s2 = 11618210, int(edited[s2]) = 0 s1 = 11583637, s2 = 11618210, d1 = 11, d2 = 15 Dl.O(d1) = 266403157,234607703,235587823,236480835 Dl.O(d2) = 267077589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11583637, s2 = 11618210, dlinesl.size( ) = 24 s1 = 11583827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583827, s2 = 11520820, int(edited[s2]) = 0 s1 = 11583827, s2 = 11520820, d1 = 11, d2 = 12 Dl.O(d1) = 236516423 Dl.O(d2) = 265516162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11583827, s2 = 11520820, dlinesl.size( ) = 20 s1 = 11583869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583869, s2 = 10500639, int(edited[s2]) = 0 s1 = 11583869, s2 = 10500639, d1 = 1, d2 = 12 Dl.O(d1) = 237331741,266497378 Dl.O(d2) = 239923318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584175, s2 = 14138042, int(edited[s2]) = 0 s1 = 11584175, s2 = 14138042, d1 = 0, d2 = 14 Dl.O(d1) = 236600039 Dl.O(d2) = 231235684,229795251,228172551,226323955,224200890,265328778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584175, s2 = 14138042, dlinesl.size( ) = 12 s1 = 13905290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13905290, s2 = 10279741, int(edited[s2]) = 0 s1 = 13905290, s2 = 10279741, d1 = 21, d2 = 17 Dl.O(d1) = 274671498,234780056,235744999,236622883 Dl.O(d2) = 266350296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13905290, s2 = 10279741, dlinesl.size( ) = 22 s1 = 11584285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11584401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11584631, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11584855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584855, s2 = 11521288, int(edited[s2]) = 0 s1 = 11584855, s2 = 11521288, d1 = 9, d2 = 2 Dl.O(d1) = 266203386 Dl.O(d2) = 232710026,265685574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584855, s2 = 11521288, dlinesl.size( ) = 12 s1 = 11584947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584947, s2 = 14376043, int(edited[s2]) = 0 s1 = 11584947, s2 = 14376043, d1 = 56, d2 = 95 Dl.O(d1) = 266233522 Dl.O(d2) = 11744766,11744768,16797408,23042720,23042958,20890428,14986841,14986842,20890434,23043426,23042853,23042852,23043199,16797837,16797838,23043402,30451111,30451110,39040332,48961803,60357313,60357584,72833312,60357387,60356816,48961129,48961128,48961718,48961717,60357249,59605205,48218414,38308648,29740338,29740339,38308653,41959253,41959254,52300089,58240369,58240367,60096242,60096241,48960835,39039463,39039462,48960962,60356678,48960967,48960966,60356680,61960306,61960307,62856660,62856658,257527278,258189367,60097684,48701868,48701869,60097686,258664315,58249596,46882400,46882399,38188751,29621460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584947, s2 = 14376043, dlinesl.size( ) = 26 s1 = 11584977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584977, s2 = 14207688, int(edited[s2]) = 0 s1 = 11584977, s2 = 14207688, d1 = 46, d2 = 29 Dl.O(d1) = 266125550,231470579 Dl.O(d2) = 264520368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584977, s2 = 14207688, dlinesl.size( ) = 44 s1 = 11585095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585095, s2 = 11515180, int(edited[s2]) = 0 s1 = 11585095, s2 = 11515180, d1 = 16, d2 = 8 Dl.O(d1) = 266435002 Dl.O(d2) = 265733650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585095, s2 = 11515180, dlinesl.size( ) = 20 s1 = 11585241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585241, s2 = 11557310, int(edited[s2]) = 0 s1 = 11585241, s2 = 11557310, d1 = 5, d2 = 6 Dl.O(d1) = 236800215 Dl.O(d2) = 266176440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585241, s2 = 11557310, dlinesl.size( ) = 8 s1 = 12003018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12003018, s2 = 7395091, int(edited[s2]) = 0 s1 = 12003018, s2 = 7395091, d1 = 17, d2 = 13 Dl.O(d1) = 201634077,207505825,212345626,216299720,219577612,222346229,219605609,216333879,216333878,219605606,222369689,265588545,228601530,230182886,231586752,232845632,233984630,235021969 Dl.O(d2) = 266208280,236321386,235414086,234419702,234419701,233390582,265357296,264716788,223647459,225824266,264456368,218200194,214705615,262637682,205259035,210457930,264166716,192219010,183721891,183721892,192219008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12003018, s2 = 7395091, dlinesl.size( ) = 14 s1 = 11585415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585415, s2 = 11611460, int(edited[s2]) = 0 s1 = 11585415, s2 = 11611460, d1 = 8, d2 = 7 Dl.O(d1) = 237615681,238149068,237422601,266728451 Dl.O(d2) = 267000169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585415, s2 = 11611460, dlinesl.size( ) = 2 s1 = 11585415, s2 = 11611460, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11585415, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11585553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585553, s2 = 10434553, int(edited[s2]) = 0 s1 = 11585553, s2 = 10434553, d1 = 14, d2 = 44 Dl.O(d1) = 236860134 Dl.O(d2) = 236860133,236003364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 11585609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585609, s2 = 11474630, int(edited[s2]) = 0 s1 = 11585609, s2 = 11474630, d1 = 18, d2 = 14 Dl.O(d1) = 265931748,265643464 Dl.O(d2) = 264877458,224857088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585609, s2 = 11474630, dlinesl.size( ) = 14 s1 = 11585891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585891, s2 = 11600394, int(edited[s2]) = 0 s1 = 11585891, s2 = 11600394, d1 = 19, d2 = 12 Dl.O(d1) = 237697820,266752687 Dl.O(d2) = 274884686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585891, s2 = 11600394, dlinesl.size( ) = 2 s1 = 11585891, s2 = 11600394, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11585891, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 11585993, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11586065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586065, s2 = 11443470, int(edited[s2]) = 0 s1 = 11586065, s2 = 11443470, d1 = 97, d2 = 0 Dl.O(d1) = 266755669,239658067 Dl.O(d2) = 171328514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586065, s2 = 11443470, dlinesl.size( ) = 38 s1 = 11586083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586083, s2 = 11540698, int(edited[s2]) = 0 s1 = 11586083, s2 = 11540698, d1 = 9, d2 = 10 Dl.O(d1) = 236960133 Dl.O(d2) = 266235236,266003098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586083, s2 = 11540698, dlinesl.size( ) = 12 s1 = 13906998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13906998, s2 = 11590640, int(edited[s2]) = 0 s1 = 13906998, s2 = 11590640, d1 = 15, d2 = 5 Dl.O(d1) = 236991619,266759019,239682765,239682766 Dl.O(d2) = 266770060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13906998, s2 = 11590640, dlinesl.size( ) = 12 s1 = 11586341, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8935019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11586791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586791, s2 = 11626406, int(edited[s2]) = 0 s1 = 11586791, s2 = 11626406, d1 = 125, d2 = 133 Dl.O(d1) = 266702253,266882873,266982017 Dl.O(d2) = 267206971,243659730,267312995 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586793, s2 = 11526390, int(edited[s2]) = 0 s1 = 11586793, s2 = 11526390, d1 = 12, d2 = 1 Dl.O(d1) = 237726727,237726728,238428053,238428052,237726724,236954704,236954705,237726726 Dl.O(d2) = 230406152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586793, s2 = 11526390, dlinesl.size( ) = 24 s1 = 11587187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587187, s2 = 11610126, int(edited[s2]) = 0 s1 = 11587187, s2 = 11610126, d1 = 67, d2 = 65 Dl.O(d1) = 266773547,239820451,266939221 Dl.O(d2) = 267358767,244476520,274968883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587187, s2 = 11610126, dlinesl.size( ) = 54 s1 = 11587329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587329, s2 = 11602878, int(edited[s2]) = 0 s1 = 11587329, s2 = 11602878, d1 = 5, d2 = 22 Dl.O(d1) = 237968900 Dl.O(d2) = 266835404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587329, s2 = 11602878, dlinesl.size( ) = 32 s1 = 11587643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587643, s2 = 11557978, int(edited[s2]) = 0 s1 = 11587643, s2 = 11557978, d1 = 6, d2 = 2 Dl.O(d1) = 237288085,236472415,236472414 Dl.O(d2) = 266293342,231018100,265810942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587643, s2 = 11557978, dlinesl.size( ) = 2 s1 = 11587643, s2 = 11557978, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11587643, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11587647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587647, s2 = 16401429, int(edited[s2]) = 0 s1 = 11587647, s2 = 16401429, d1 = 25, d2 = 6 Dl.O(d1) = 237289230 Dl.O(d2) = 232335400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587647, s2 = 16401429, dlinesl.size( ) = 30 s1 = 10898072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11587755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587755, s2 = 11216248, int(edited[s2]) = 0 s1 = 11587755, s2 = 11216248, d1 = 22, d2 = 32 Dl.O(d1) = 274718013,266355154 Dl.O(d2) = 192509000,184051958,262618477,260477793,259257165,258880716,2552538,2537350,254706653,14965544,20867594,256811077,57705810,70399795,83926004,97784791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587755, s2 = 11216248, dlinesl.size( ) = 34 s1 = 11587871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587871, s2 = 11501814, int(edited[s2]) = 0 s1 = 11587871, s2 = 11501814, d1 = 12, d2 = 14 Dl.O(d1) = 266843036 Dl.O(d2) = 265286947,264865491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587871, s2 = 11501814, dlinesl.size( ) = 16 s1 = 11588121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588121, s2 = 11611376, int(edited[s2]) = 0 s1 = 11588121, s2 = 11611376, d1 = 9, d2 = 7 Dl.O(d1) = 274792491 Dl.O(d2) = 266951391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588121, s2 = 11611376, dlinesl.size( ) = 14 s1 = 11588193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588193, s2 = 11621846, int(edited[s2]) = 0 s1 = 11588193, s2 = 11621846, d1 = 0, d2 = 5 Dl.O(d1) = 238130859 Dl.O(d2) = 239403471,266999059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588193, s2 = 11621846, dlinesl.size( ) = 12 s1 = 11588209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588209, s2 = 10902924, int(edited[s2]) = 0 s1 = 11588209, s2 = 10902924, d1 = 29, d2 = 31 Dl.O(d1) = 238132772,267045729 Dl.O(d2) = 238844239,238186380,237463755,236668001,266511287,234836890,233784606,232628414,231348761,231348762,232628403,265991729,265714935,224371233,221947126,221947125,224371231,226476804,228310819,229920415,266113861,233784582,266113864,236667984,237463737,266225776,266423806,236668004,235795242,234836888,233784600,233784599,233784604,233784603,232628417,232628418,233784607,266423809,236668006,235795245,234836891,233784606,232628414,232628413,233784588,232628420,232628411,231348759,231348760,265991729,265714935,224371233,221947126,221947125,224371231,226476804,228310819,229920414,231348750,232628395,233784589,233784609,233784585,232628390,232628391,233784587,234836875,233784593,266113863,266225775,232628414,231348761,231348762,232628403,265991729,265714935,224371233,221947126,221947125,224371231,226476804,228310817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588209, s2 = 10902924, dlinesl.size( ) = 32 s1 = 11588259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588259, s2 = 11553590, int(edited[s2]) = 0 s1 = 11588259, s2 = 11553590, d1 = 7, d2 = 4 Dl.O(d1) = 237418500 Dl.O(d2) = 234774630,233714860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588259, s2 = 11553590, dlinesl.size( ) = 12 s1 = 11588413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588413, s2 = 11470226, int(edited[s2]) = 0 s1 = 11588413, s2 = 11470226, d1 = 0, d2 = 2 Dl.O(d1) = 266136518,235771249,274664431 Dl.O(d2) = 265024226,224323730,221894532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588413, s2 = 11470226, dlinesl.size( ) = 2 s1 = 11588413, s2 = 11470226, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11588413, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11588533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588533, s2 = 12374323, int(edited[s2]) = 0 s1 = 11588533, s2 = 12374323, d1 = 10, d2 = 8 Dl.O(d1) = 266328992,266328990,235798349,266114460,232632850 Dl.O(d2) = 234840308,266328990,266328994,266114460,231353572,229925751,229925750,228316788,265193868,224378044,221954438,219131949,215788722,211746305,211746306,211746308,206799342,263889651,185443196,175960831,165259057,153459754,261705043,127423411,113552365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588533, s2 = 12374323, dlinesl.size( ) = 2 s1 = 11588533, s2 = 12374323, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11588533, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11588619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5839539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5839539, s2 = 10220807, int(edited[s2]) = 0 s1 = 5839539, s2 = 10220807, d1 = 17, d2 = 14 Dl.O(d1) = 235616850,274744659,266784105,266735392,238729828,238729829 Dl.O(d2) = 218047259,214512247,210212416,204953185,198607863,191118450,182416436,272878752,272233052,121782409,121782407,135722662,148961616,148961652,148961634,135722664,121782409,121782407,135722662,148961616,272233054,121782448,107397901,107397900,260936869,121782456,121782455,135722702 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5839539, s2 = 10220807, dlinesl.size( ) = 12 s1 = 11588793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588793, s2 = 11611158, int(edited[s2]) = 0 s1 = 11588793, s2 = 11611158, d1 = 18, d2 = 11 Dl.O(d1) = 238230121,238884197 Dl.O(d2) = 240554963,274890961,242617926,242944704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588793, s2 = 11611158, dlinesl.size( ) = 24 s1 = 11588815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588815, s2 = 14107256, int(edited[s2]) = 0 s1 = 11588815, s2 = 14107256, d1 = 38, d2 = 49 Dl.O(d1) = 266517045,234902949,266337800 Dl.O(d2) = 215977803,211972676,207070609,207070608,211972675,264767369,264228103,194078830,185849385,176412171,262740862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588815, s2 = 14107256, dlinesl.size( ) = 42 s1 = 11588885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11589049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589049, s2 = 16242552, int(edited[s2]) = 0 s1 = 11589049, s2 = 16242552, d1 = 25, d2 = 26 Dl.O(d1) = 237574138,236788235,235924879,266343369 Dl.O(d2) = 264250737,194472445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589049, s2 = 16242552, dlinesl.size( ) = 2 s1 = 11589049, s2 = 16242552, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11589049, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 11589055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12004238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11589525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589525, s2 = 11615272, int(edited[s2]) = 0 s1 = 11589525, s2 = 11615272, d1 = 24, d2 = 21 Dl.O(d1) = 266750341 Dl.O(d2) = 242335762,242680473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589525, s2 = 11615272, dlinesl.size( ) = 34 s1 = 11589983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589983, s2 = 12067866, int(edited[s2]) = 0 s1 = 11589983, s2 = 12067866, d1 = 6, d2 = 6 Dl.O(d1) = 238456494,237757918,266636272,236147183,235223443,235223444,235223442,234208558,266183384,230484304,228942246 Dl.O(d2) = 238456494,237757918,266636272,236147183,235223443,235223444,235223442,234208558,266183384,230484304,228942246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589983, s2 = 12067866, dlinesl.size( ) = 2 s1 = 11589983, s2 = 12067866, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11589983, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11590041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590041, s2 = 10426354, int(edited[s2]) = 0 s1 = 11590041, s2 = 10426354, d1 = 34, d2 = 17 Dl.O(d1) = 266479734,266291610,233107968 Dl.O(d2) = 262989730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590041, s2 = 10426354, dlinesl.size( ) = 40 s1 = 12004580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590259, s2 = 11603582, int(edited[s2]) = 0 s1 = 11590259, s2 = 11603582, d1 = 0, d2 = 9 Dl.O(d1) = 238511439 Dl.O(d2) = 240267965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590259, s2 = 11603582, dlinesl.size( ) = 8 s1 = 11590341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590341, s2 = 11565056, int(edited[s2]) = 0 s1 = 11590341, s2 = 11565056, d1 = 16, d2 = 23 Dl.O(d1) = 237831589 Dl.O(d2) = 266172875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590341, s2 = 11565056, dlinesl.size( ) = 28 s1 = 11590467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590467, s2 = 11563594, int(edited[s2]) = 0 s1 = 11590467, s2 = 11563594, d1 = 12, d2 = 0 Dl.O(d1) = 237860091 Dl.O(d2) = 233261810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590467, s2 = 11563594, dlinesl.size( ) = 18 s1 = 10523463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590639, s2 = 13906997, int(edited[s2]) = 0 s1 = 11590639, s2 = 13906997, d1 = 10, d2 = 16 Dl.O(d1) = 266770061 Dl.O(d2) = 239212983,239212982,266759018,236315349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590639, s2 = 13906997, dlinesl.size( ) = 12 s1 = 11590661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590661, s2 = 11574028, int(edited[s2]) = 0 s1 = 11590661, s2 = 11574028, d1 = 1, d2 = 6 Dl.O(d1) = 237902751,237148012 Dl.O(d2) = 266477410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590661, s2 = 11574028, dlinesl.size( ) = 6 s1 = 11574027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574027, s2 = 11590662, int(edited[s2]) = 0 s1 = 11574027, s2 = 11590662, d1 = 14, d2 = 0 Dl.O(d1) = 266477411 Dl.O(d2) = 237148010,237902747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574027, s2 = 11590662, dlinesl.size( ) = 6 s1 = 15027346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590861, s2 = 11430516, int(edited[s2]) = 0 s1 = 11590861, s2 = 11430516, d1 = 11, d2 = 2 Dl.O(d1) = 266293878 Dl.O(d2) = 230865323,274250390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590861, s2 = 11430516, dlinesl.size( ) = 20 s1 = 13911238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13911238, s2 = 8946087, int(edited[s2]) = 0 s1 = 13911238, s2 = 8946087, d1 = 1, d2 = 3 Dl.O(d1) = 235477528,266564979 Dl.O(d2) = 238188522,238188523,266732355,239450937,240009677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13911238, s2 = 8946087, dlinesl.size( ) = 2 s1 = 13911238, s2 = 8946087, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13911238, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11590991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591083, s2 = 11519468, int(edited[s2]) = 0 s1 = 11591083, s2 = 11519468, d1 = 93, d2 = 82 Dl.O(d1) = 266486470,266193582,265819474 Dl.O(d2) = 264922481 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 13911612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591475, s2 = 14148710, int(edited[s2]) = 0 s1 = 11591475, s2 = 14148710, d1 = 31, d2 = 0 Dl.O(d1) = 238056979,237317623,236505611,266576587,236505607,236505608 Dl.O(d2) = 232389843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591475, s2 = 14148710, dlinesl.size( ) = 2 s1 = 11591475, s2 = 14148710, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11591475, Dl.E( ) = 32, 1.41e-05 seconds used appending s1 = 11591479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591479, s2 = 11613194, int(edited[s2]) = 0 s1 = 11591479, s2 = 11613194, d1 = 14, d2 = 19 Dl.O(d1) = 266649390 Dl.O(d2) = 267151795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591479, s2 = 11613194, dlinesl.size( ) = 20 s1 = 16256293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16256293, s2 = 10278839, int(edited[s2]) = 0 s1 = 16256293, s2 = 10278839, d1 = 74, d2 = 55 Dl.O(d1) = 221522345,221522347,223990435,226128820,227990964,229626937,231080460,232384571,266098872,235613073,236503550,237316216,238055871,238728099,239345373,239913432,239913433,266655374,238055873,238055872,238728101,239345376,239913435,240438536 Dl.O(d2) = 228679025,228679024,230248660,230248676,228679041,226895806,226895805,224849473,265426600,222491737,222491745,222491746,219745864,219745862,265426602,219745859,265596455,222491733,219745853,264808498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16256293, s2 = 10278839, dlinesl.size( ) = 12 s1 = 15817696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15817696, s2 = 8852834, int(edited[s2]) = 0 s1 = 15817696, s2 = 8852834, d1 = 58, d2 = 69 Dl.O(d1) = 274811775,239958832,239958810,266901669,266789057,266789059,266951346,266726023,238121315,237391460,236588421,235707506,234739328,234739329,235707507,266726021,238121294,274811769 Dl.O(d2) = 74146436,260108683,101723498,271856185,142993391,142993390,261821925,262802033,186953904,195038970,201956599,264557120,201956600,264557123,216493542,219745863,265426607,226895821,226895819,224849469,265239934,219745856,222491740,224849467,226895784,228679017,228679034,230248672,230248668,228679029,228679028,230248667,231643771,266141644,230248644,230248645,274565402,266021985,231643783,230248684,228679053,228679054,266021985,231643789,266021980,265751002,224849476,224849471,222491742,265426609,226895822,228679052,230248685 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591857, s2 = 11559520, int(edited[s2]) = 0 s1 = 11591857, s2 = 11559520, d1 = 10, d2 = 1 Dl.O(d1) = 266503732 Dl.O(d2) = 233682466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591857, s2 = 11559520, dlinesl.size( ) = 12 s1 = 11591865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591865, s2 = 14106294, int(edited[s2]) = 0 s1 = 11591865, s2 = 14106294, d1 = 13, d2 = 22 Dl.O(d1) = 266426920,234746280,233684314,232516115,231223652,265847214 Dl.O(d2) = 28720744,37251639,47156526,258685317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591865, s2 = 14106294, dlinesl.size( ) = 24 s1 = 11591981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591981, s2 = 11615188, int(edited[s2]) = 0 s1 = 11591981, s2 = 11615188, d1 = 18, d2 = 27 Dl.O(d1) = 266720176 Dl.O(d2) = 267156125 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591981, s2 = 11615188, dlinesl.size( ) = 14 s1 = 11592057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592081, s2 = 13321221, int(edited[s2]) = 0 s1 = 11592081, s2 = 13321221, d1 = 39, d2 = 51 Dl.O(d1) = 274748749 Dl.O(d2) = 258025138,12200823,8231835,8231836,12200824,15896532,11019889,7295503,4831375,4526415,4491323,4491324,7133734,8301503,10796854,7133758,7133756,4724943,4724944,7476271,11261859,16200726,21638031,268618913,30032452,23236947,23236946,30658208,31317459,31317460,39110464,30513360,23097757,16841985,11778050,11778055,13837850,9713654,9713657,14118684,18147323,19691957,26429674,24328728,17940524,12712454,8637378,8637379,7614728,4817731,4817730,7614727,10793205,15601676,12571167,8525492,5524249,5524250,8525495,10839568,10839569,15658400,11909483,11909484,15611933,15656841,10837709,7164172,4512170,4512169,7164170,10837706,11171324,11171323,15658063,10839080,7165327,4747068,4747067,7509140,7509123,7509124,4747668,2861181,2861182,4747672,7510769,7322001,4623234,2784010,2784009,2860620,2860619,4746707,7165960,10839681,10839422,7165669,4513135,4513134,3089254,3089252,5090544,5068143,3071950,3071952,2861207,2861206,2861614,2861615,4748326,7411690,7411688,254779235,7412063,4683525,2821859,1637080,930862,524641,293979,293976,524634,930846,1637045,2821798,4683431,4512005,4512004,7163946,10837410,15606603,15928145,11722218,7824776,7824777,11722223,10797681,10797680,7511454,7511456,8182925,12152475,15606830,13375989,13375991,11312852,11312853,15917568,15606721,10797380,7134144,4491541,2698548,1563287,888726,888728,1563297,2698577,4491605,6750796,10272545,12192088,12192089,17292665,17292666,17811427,17273149,12152442,12152441,17273144,15606582,10797269,7165042,7165038,10838716,15657748,21697593,23008403,16769092,16769091,22326266,29677308,28920681,23761821,23761822,23761470,22014197,22014198,23757453,24158591,17791294,17791293,15612606,12368539,12368538,17536478,17277613,17277615,255068351,7305067,4609490,2775149,2775148,4609487,7305062,268080989,254520927,2786159,2786158,3210443,1880320,1072703,1072701,1880311,3210421,5253711,8184114,7312814,4616013,4616011,7312812,8233049,5305168,5305173,7826091,5219237,3183807,1863301,1863300,3183803,3196767,3196769,1974522,1127229,632104,632105,1127234,1974535,254407993,3203429,1875809,1611067,1611066,2777117,4612266,5269691,3224345,2787522,2787521,254579559,10280098,14945892,17035723,17035724,15038435,10365963,268198973,18779043,13375051,13375055,13376037,13376035,18779052,13374408,9141094,5981838,5981839,9141095,13374410,18779056,13375017,9141572,9141571,13375015,18779047,18779048,16599561,16599560,13370015,13370016,18773959,17651917,17651916,23995632,23987962,255216990,10775488,10775489,15577439,12480685,8451584,8451585,12438366,12438368,17620092,17647128,17647127,17646974,12474097,12474096,12471035,12468106,12468105,17620151,17620150,17649882,17646158,12472784,12472785,12471077,12471076,12456612,8424904,254406167,1965713,1965710,3338929,3351422,3351421,5451676,8442481,8426046,8426045,8409801,5455313,5438415,5425113,3335019,3335018,1972873,1972870,3355835,5458344,8418405,5453549,3352624,1970964,1970959,3336332,5427243,5436966,5453482,5428433,5428429,5446146,3350610,3338969,3338972,5431686,5431651,5431652,8411756,5428337,3337006,3337005,5428336,8411754,8449369,12448556,8416846,8416847,8418209,5457538,5456450,5456449,8448048,255576451,17631567,12453382,8421711,8421712,8445221,8445220,8428554,8428555,5458864,5429223,5429221,5429218,3337518,3334615,3334616,5424431,8406248,12437664,8406273,8406270,5453241,5427497,3336507,1962220,1962222,1966917,3345050,5441376,5440652,3344559,3344560,5440661,8405966,5424222,5424224,5430309,3338173,1963104,1121305,629097,349428,349429,629099,1121307,1963109,3338185,5430331,8414552,12446201,8416967,5979801,3739335,2238683,2238682,3739334,5440643,8428308,254598399,5426987,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8411165,8411167,7298044,4603187,2770016,2770015,4603186,5430569,8411103,8411123,5427841,3336703,1962330,1120925,628920,628918,629819,629820,1122717,1123281,1123282,1966795,3344819,5440476,8414826,5452950,5452948,5440624,3344544,1966649,1123212,630068,349891,349889,630062,1123196,1966622,3344496,3337263,3337264,3344414,1966575,1966576,3344418,5428807,8412370,5451950,5451949,8418581,8418584,8436512,8436509,12443765,12450792,8443022,5452126,5452123,8428182,8432278,5460384,5460385,8415090,5430697,5430695,5433170,5432846,3339722,3339721,5432845,5434906,5434905,5460342,5434932,5434933,8420767,5441934,3345394,3345393,5428445,3337061,1962512,1962510,3337055,5428429,5446146,3350610,3338969,3338972,5431686,5431651,5431652,8411756,5428337,5428340,8411766,8423000,8208671,5279742,3233274,3233276,5279751,5436365,5424152,3334447,1961088,1120281,628606,349804,191730,191729,349799,629884,254186893,3343386,5438779,8425871,8448387,8411984,8411140,5427856,3336712,3336711,5427855,8411138,5438054,5426628,3335920,3335922,5426630,3350799,1969973,1124845,1124843,1969967,3350791,5450734,5424304,5424301,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8414927,12437381,8446108,8440147,254407063,3350155,5449724,5450122,5450121,8426422,8426421,8424933,5438056,3342950,3342949,5426628,3335920,3335922,5426630,3350799,1969973,1124845,1124843,1969967,3350791,5450734,5424304,5424301,5435195,8412429,8412431,8412475,5437057,3342394,3342397,5437067,8423635,8408207,8408209,8414927,12437381,8446108,8440147,8440146,12451940,12444971,8447731,5456128,3354320,1971915,1971913,1972587,1972588,3355435,3336816,3336817,5428017,8411367,5442607,3345845,3345846,5442610,5444214,3346856,3346854,5444212,5439609,5439610,8426944,5443738,5443737,8432305,12463592,255573547,17619276,12468304,8437447,8437446,8446446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592081, s2 = 13321221, dlinesl.size( ) = 34 s1 = 14143203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143203, s2 = 11592088, int(edited[s2]) = 0 s1 = 14143203, s2 = 11592088, d1 = 22, d2 = 15 Dl.O(d1) = 229297791,230796086,232132556,233336789,234427836,235420830,236327339,237155349,236327334 Dl.O(d2) = 235420833,234427839,266771067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143203, s2 = 11592088, dlinesl.size( ) = 20 s1 = 11592199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592199, s2 = 11595820, int(edited[s2]) = 0 s1 = 11592199, s2 = 11595820, d1 = 17, d2 = 13 Dl.O(d1) = 266590307 Dl.O(d2) = 266225721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592199, s2 = 11595820, dlinesl.size( ) = 20 s1 = 11592223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592223, s2 = 10375512, int(edited[s2]) = 0 s1 = 11592223, s2 = 10375512, d1 = 1, d2 = 2 Dl.O(d1) = 238190662 Dl.O(d2) = 236673197,235800727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592223, s2 = 10375512, dlinesl.size( ) = 2 s1 = 11592223, s2 = 10375512, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11592223, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 11592235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592235, s2 = 10363970, int(edited[s2]) = 0 s1 = 11592235, s2 = 10363970, d1 = 1, d2 = 8 Dl.O(d1) = 266795289 Dl.O(d2) = 267300431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592235, s2 = 10363970, dlinesl.size( ) = 26 s1 = 11592247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592247, s2 = 11492196, int(edited[s2]) = 0 s1 = 11592247, s2 = 11492196, d1 = 18, d2 = 14 Dl.O(d1) = 266221926,233801339 Dl.O(d2) = 264975592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592247, s2 = 11492196, dlinesl.size( ) = 20 s1 = 5929899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5929899, s2 = 7198382, int(edited[s2]) = 0 s1 = 5929899, s2 = 7198382, d1 = 14, d2 = 36 Dl.O(d1) = 237784222 Dl.O(d2) = 263896669,185564936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5929899, s2 = 7198382, dlinesl.size( ) = 34 s1 = 11592549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592549, s2 = 10476160, int(edited[s2]) = 0 s1 = 11592549, s2 = 10476160, d1 = 33, d2 = 0 Dl.O(d1) = 238239176,274751123,274634499 Dl.O(d2) = 224518166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592549, s2 = 10476160, dlinesl.size( ) = 34 s1 = 11592671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592717, s2 = 11623440, int(edited[s2]) = 0 s1 = 11592717, s2 = 11623440, d1 = 13, d2 = 11 Dl.O(d1) = 266802577,266962177 Dl.O(d2) = 267090965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592717, s2 = 11623440, dlinesl.size( ) = 8 s1 = 11592815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592817, s2 = 6285742, int(edited[s2]) = 0 s1 = 11592817, s2 = 6285742, d1 = 131, d2 = 165 Dl.O(d1) = 266914113 Dl.O(d2) = 245513975,245648826,245774134,245891811,246002422 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8963262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592975, s2 = 11186266, int(edited[s2]) = 0 s1 = 11592975, s2 = 11186266, d1 = 8, d2 = 12 Dl.O(d1) = 266604748 Dl.O(d2) = 274520397,265415718,207499230,263946456,262301384,128892253,261246284,39270099,30673839,23257807,16994717,11909136,7965875,5067925,5067924,7965871,11909125,16994702,23257785,29347000,22014981,22014982,29347002,31574594,40261607,33177977,33177976,39104908,30508244,30508245,30673799,31315944,31315945,39992708,48146305,38236391,29671039,22319858,267801192,254275434,22319862,29671045,24069281,24069280,30673779,30673780,39268318,39268319,31574317,31574315,40261287,39270092,30673829,30673828,38236393,254865482,32309595,255192124,255913044,256952210,256410008,40938747,50579725,256410010,256559601,32160424,24575981,23826563,23826562,256033680,31845420,24325639,17937699,12710066,8635450,8635451,12710070,17937705,24325646,31845426,256539920,18227102,18226937,18226936,24325627,24325626,31845405,24325659,24325660,18526547,268288759,32470262,31845428,24325649,24325648,18094701,18094700,21540189,28807280,37345391,40938753,32160423,24575977,18134067,12858960,12858961,18134070,24575982,24672945,255225161,12729618,12729617,8794855,8794856,8972014,8972013,13162966,18526543,13162968,8972016,8972017,13162970,12710061,8635447,5615819,3488504,3488503,254619335,8862720,255231825,18023157,12774063,8682760,5649976,3512556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592975, s2 = 11186266, dlinesl.size( ) = 14 s1 = 13997261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6007255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6007255, s2 = 1795957, int(edited[s2]) = 0 s1 = 6007255, s2 = 1795957, d1 = 40, d2 = 75 Dl.O(d1) = 239567294 Dl.O(d2) = 30862981,39466972,47171868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6007255, s2 = 1795957, dlinesl.size( ) = 36 s1 = 11593211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13913860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13913860, s2 = 10389275, int(edited[s2]) = 0 s1 = 13913860, s2 = 10389275, d1 = 22, d2 = 18 Dl.O(d1) = 238467422,266160502 Dl.O(d2) = 266042348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13913860, s2 = 10389275, dlinesl.size( ) = 26 s1 = 11593809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11593947, s2 = 11602136, int(edited[s2]) = 0 s1 = 11593947, s2 = 11602136, d1 = 13, d2 = 8 Dl.O(d1) = 266931165 Dl.O(d2) = 241491213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11593947, s2 = 11602136, dlinesl.size( ) = 8 s1 = 11594041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7450167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11594481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594481, s2 = 11503484, int(edited[s2]) = 0 s1 = 11594481, s2 = 11503484, d1 = 24, d2 = 18 Dl.O(d1) = 266587954 Dl.O(d2) = 265378162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594481, s2 = 11503484, dlinesl.size( ) = 32 s1 = 10460434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11594751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594751, s2 = 11604010, int(edited[s2]) = 0 s1 = 11594751, s2 = 11604010, d1 = 15, d2 = 4 Dl.O(d1) = 239300435,239872087,240400031 Dl.O(d2) = 241758851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594751, s2 = 11604010, dlinesl.size( ) = 30 s1 = 5998626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5998626, s2 = 394702, int(edited[s2]) = 0 s1 = 5998626, s2 = 394702, d1 = 21, d2 = 29 Dl.O(d1) = 239381384,266787457,238769627,238769628 Dl.O(d2) = 262649725,152456718,152456719,152456714,139731208,126355221,112487577,98495852,84572999,71009164,58294213,58294212,49773044,39754468,31076830,23593446,17281283,12160295,8190545,8190544,12160293,17281282,20821026,20821027,27985896,36445417,31463277,23967444,17617338,12435352,12435353,14519402,9990663,9990664,267979912,255488746,14372313,14372314,15719400,16803288,15626850,10813236,7145805,6489826,6489829,9878396,268173751,15626848,15626849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5998626, s2 = 394702, dlinesl.size( ) = 2 s1 = 5998626, s2 = 394702, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 5998626, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 11594951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11594961, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11594981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11595817, s2 = 15147619, int(edited[s2]) = 0 s1 = 11595817, s2 = 15147619, d1 = 0, d2 = 3 Dl.O(d1) = 238874891 Dl.O(d2) = 231413629,265974134,226563891,224468846,222057131,265167230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11595817, s2 = 15147619, dlinesl.size( ) = 2 s1 = 11595817, s2 = 15147619, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11595817, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 11595819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11595819, s2 = 11592200, int(edited[s2]) = 0 s1 = 11595819, s2 = 11592200, d1 = 12, d2 = 16 Dl.O(d1) = 266225720 Dl.O(d2) = 266590306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11595819, s2 = 11592200, dlinesl.size( ) = 20 s1 = 11595823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15147623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5571006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11596239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596239, s2 = 11677229, int(edited[s2]) = 0 s1 = 11596239, s2 = 11677229, d1 = 7, d2 = 7 Dl.O(d1) = 266915239,267010143,241924822,267129099,267163488,241924821,241924822,267129099,242973231,242648644,242648641,242300523,241924816,241518113,241518114,241924818,267129097,267195428,242648644,242648641,242300523,241924816,241518113,241518114,241924817,242300524,242648642,242973229,243276375,243559620,267279445,244293564 Dl.O(d2) = 266915239,267010143,241924822,267129099,267163488,241924821,241924822,267129099,242973231,242648644,242648641,242300523,241924816,241518113,241518114,241924818,267129097,267195428,242648644,242648641,242300523,241924816,241518113,241518114,241924817,242300524,242648642,242973229,243276375,243559620,267279445,244293564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596239, s2 = 11677229, dlinesl.size( ) = 2 s1 = 11596239, s2 = 11677229, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11596239, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11596393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596393, s2 = 11607304, int(edited[s2]) = 0 s1 = 11596393, s2 = 11607304, d1 = 5, d2 = 12 Dl.O(d1) = 239569294 Dl.O(d2) = 266913360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596393, s2 = 11607304, dlinesl.size( ) = 14 s1 = 11596425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596425, s2 = 11577068, int(edited[s2]) = 0 s1 = 11596425, s2 = 11577068, d1 = 2, d2 = 4 Dl.O(d1) = 266680390 Dl.O(d2) = 235990403,235047724,234011869,232875132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596425, s2 = 11577068, dlinesl.size( ) = 8 s1 = 10375686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11596679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596679, s2 = 11570070, int(edited[s2]) = 0 s1 = 11596679, s2 = 11570070, d1 = 16, d2 = 40 Dl.O(d1) = 239028049 Dl.O(d2) = 237684198,238387217,237684195,236910198,236910197,237684192,237684196,236910199,274718666,238387219,238387217,237684195,236910198,236059700,235124404,234095335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596679, s2 = 11570070, dlinesl.size( ) = 46 s1 = 11596803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596803, s2 = 11562082, int(edited[s2]) = 0 s1 = 11596803, s2 = 11562082, d1 = 10, d2 = 19 Dl.O(d1) = 239054898,239054899,239643187,239054909,238415054,237713525 Dl.O(d2) = 236941538,236094183,266362734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596803, s2 = 11562082, dlinesl.size( ) = 16 s1 = 11597073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597073, s2 = 10855909, int(edited[s2]) = 0 s1 = 11597073, s2 = 10855909, d1 = 38, d2 = 14 Dl.O(d1) = 239112724,266583056 Dl.O(d2) = 222983184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597073, s2 = 10855909, dlinesl.size( ) = 68 s1 = 11597223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597491, s2 = 11612166, int(edited[s2]) = 0 s1 = 11597491, s2 = 11612166, d1 = 1, d2 = 11 Dl.O(d1) = 239778573 Dl.O(d2) = 242792115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597491, s2 = 11612166, dlinesl.size( ) = 2 s1 = 11597491, s2 = 11612166, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11597491, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 13917384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13917384, s2 = 16351860, int(edited[s2]) = 0 s1 = 13917384, s2 = 16351860, d1 = 61, d2 = 79 Dl.O(d1) = 233395317,234481188,235469357,236371115,237195433,237946587,238630120,239255782 Dl.O(d2) = 267248738,243037079,243037078,243335072,274955679,243613910,243335070,243037076,243037075,243037069,242719350,242378177,242378178,267136257,243037077,243335068,243037074,242719354,267123436,267100519,242378187,242010595,242010596,242378189,242719365,242719354,267123436,267100517,242378184,242719359,243037069,242719350,242378177,242378178,242010590,241611780,241611781,267100517,242378184,242719360,242719350,242378177,242378178,242010590,242010589,242010588,267045764,240715053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13917384, s2 = 16351860, dlinesl.size( ) = 2 s1 = 13917384, s2 = 16351860, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 13917384, Dl.E( ) = 80, 2.81e-05 seconds used appending s1 = 11597919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597919, s2 = 11608752, int(edited[s2]) = 0 s1 = 11597919, s2 = 11608752, d1 = 4, d2 = 12 Dl.O(d1) = 239867115 Dl.O(d2) = 266943050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597919, s2 = 11608752, dlinesl.size( ) = 8 s1 = 11598357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11598357, s2 = 11622970, int(edited[s2]) = 0 s1 = 11598357, s2 = 11622970, d1 = 17, d2 = 7 Dl.O(d1) = 266949845 Dl.O(d2) = 242553313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11598357, s2 = 11622970, dlinesl.size( ) = 24 s1 = 11598393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11598397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11598397, s2 = 11557964, int(edited[s2]) = 0 s1 = 11598397, s2 = 11557964, d1 = 37, d2 = 28 Dl.O(d1) = 239381397,266708890 Dl.O(d2) = 234712467,233647061,232476049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11598397, s2 = 11557964, dlinesl.size( ) = 28 s1 = 11598639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11598803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11598803, s2 = 11533644, int(edited[s2]) = 0 s1 = 11598803, s2 = 11533644, d1 = 17, d2 = 0 Dl.O(d1) = 274798284,224369951,221945705 Dl.O(d2) = 211735401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11598803, s2 = 11533644, dlinesl.size( ) = 18 s1 = 13918468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14777658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6077961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6077961, s2 = 10360390, int(edited[s2]) = 0 s1 = 6077961, s2 = 10360390, d1 = 7, d2 = 18 Dl.O(d1) = 241150969,240684417,240180518,239635161 Dl.O(d2) = 233000702,266122648,230370257,231755892,231441792,230022943,228423407,226603079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6077961, s2 = 10360390, dlinesl.size( ) = 14 s1 = 11599107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14256714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11599317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599317, s2 = 10524281, int(edited[s2]) = 0 s1 = 11599317, s2 = 10524281, d1 = 11, d2 = 19 Dl.O(d1) = 239552324,238956889,266677509 Dl.O(d2) = 238309016,237597092,266526429,235953038,236813980,266677511,266863011,240102056,240102057,274865299,240611318,241083550,241522013,241083564,241083563,241083562,240611319,266964797,267010617,240611305,240102039,240102040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599317, s2 = 10524281, dlinesl.size( ) = 16 s1 = 11599451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599451, s2 = 11099414, int(edited[s2]) = 0 s1 = 11599451, s2 = 11099414, d1 = 13, d2 = 17 Dl.O(d1) = 274232030,213055098,208346436,202637337,195842196 Dl.O(d2) = 159239530,146866274,261964602,131427850,259647920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599451, s2 = 11099414, dlinesl.size( ) = 26 s1 = 10807950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11599545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599545, s2 = 11567172, int(edited[s2]) = 0 s1 = 11599545, s2 = 11567172, d1 = 24, d2 = 18 Dl.O(d1) = 274799303,236717237,266354268 Dl.O(d2) = 266595207,274702992,234895420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599545, s2 = 11567172, dlinesl.size( ) = 14 s1 = 11599567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599567, s2 = 11617656, int(edited[s2]) = 0 s1 = 11599567, s2 = 11617656, d1 = 3, d2 = 7 Dl.O(d1) = 266968893,241557655 Dl.O(d2) = 242333224,242678265,267198292,242999769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599567, s2 = 11617656, dlinesl.size( ) = 2 s1 = 11599567, s2 = 11617656, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11599567, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11599657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599657, s2 = 11572934, int(edited[s2]) = 0 s1 = 11599657, s2 = 11572934, d1 = 37, d2 = 3 Dl.O(d1) = 266921727 Dl.O(d2) = 237383270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599657, s2 = 11572934, dlinesl.size( ) = 40 s1 = 11596763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596763, s2 = 8937235, int(edited[s2]) = 0 s1 = 11596763, s2 = 8937235, d1 = 7, d2 = 35 Dl.O(d1) = 239633708 Dl.O(d2) = 236929898,236929897,274836708,239044667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596763, s2 = 8937235, dlinesl.size( ) = 28 s1 = 11599865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599865, s2 = 11578146, int(edited[s2]) = 0 s1 = 11599865, s2 = 11578146, d1 = 4, d2 = 11 Dl.O(d1) = 239661496 Dl.O(d2) = 266542301,266365701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11599865, s2 = 11578146, dlinesl.size( ) = 16 s1 = 11600197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11600197, s2 = 15010038, int(edited[s2]) = 0 s1 = 11600197, s2 = 15010038, d1 = 28, d2 = 18 Dl.O(d1) = 274689268 Dl.O(d2) = 265524882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11600197, s2 = 15010038, dlinesl.size( ) = 28 s1 = 11600669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13920164, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11600843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11600843, s2 = 5753425, int(edited[s2]) = 0 s1 = 11600843, s2 = 5753425, d1 = 37, d2 = 5 Dl.O(d1) = 239859208,239286420,239286421,239859210,240387941,240878361,240878360 Dl.O(d2) = 233449865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11600843, s2 = 5753425, dlinesl.size( ) = 22 s1 = 11601281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601281, s2 = 11547840, int(edited[s2]) = 0 s1 = 11601281, s2 = 11547840, d1 = 7, d2 = 0 Dl.O(d1) = 266785987 Dl.O(d2) = 235648464,266516992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601281, s2 = 11547840, dlinesl.size( ) = 16 s1 = 10360861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10360861, s2 = 11517944, int(edited[s2]) = 0 s1 = 10360861, s2 = 11517944, d1 = 87, d2 = 0 Dl.O(d1) = 274551507,266211378,266315567,235676509,236560572,266723879,239376119,274875468,239941094,239376107,238763541,238763540,238763544,239376111,239941100,274888758 Dl.O(d2) = 222233422 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10360861, s2 = 11517944, dlinesl.size( ) = 2 s1 = 10360861, s2 = 11517944, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 10360861, Dl.E( ) = 90, 2.31e-05 seconds used appending s1 = 11601435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601435, s2 = 11570456, int(edited[s2]) = 0 s1 = 11601435, s2 = 11570456, d1 = 29, d2 = 1 Dl.O(d1) = 239961122,266726354,266789357 Dl.O(d2) = 235712180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601435, s2 = 11570456, dlinesl.size( ) = 30 s1 = 14215032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11601659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11601741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601741, s2 = 11570960, int(edited[s2]) = 0 s1 = 11601741, s2 = 11570960, d1 = 6, d2 = 3 Dl.O(d1) = 266795191,238190465 Dl.O(d2) = 265860813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601741, s2 = 11570960, dlinesl.size( ) = 12 s1 = 13920030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602135, s2 = 11593948, int(edited[s2]) = 0 s1 = 11602135, s2 = 11593948, d1 = 2, d2 = 12 Dl.O(d1) = 240589771 Dl.O(d2) = 266931164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602135, s2 = 11593948, dlinesl.size( ) = 8 s1 = 11602421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602421, s2 = 11576744, int(edited[s2]) = 0 s1 = 11602421, s2 = 11576744, d1 = 18, d2 = 0 Dl.O(d1) = 266963668 Dl.O(d2) = 234331478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602421, s2 = 11576744, dlinesl.size( ) = 20 s1 = 11602459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602877, s2 = 11587330, int(edited[s2]) = 0 s1 = 11602877, s2 = 11587330, d1 = 15, d2 = 0 Dl.O(d1) = 266835405,266711551,237219645,237219644,266711547,266775841,237968912,237219642,237219643,237968914,237968918,237968917,238649910,237968909,237219641,236397150 Dl.O(d2) = 234509312,233425767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602877, s2 = 11587330, dlinesl.size( ) = 2 s1 = 11602877, s2 = 11587330, "passes" = passes Sat Dec 09 04:19:15 2017: s1 = 11602877, Dl.E( ) = 16, 6.2e-06 seconds used appending s1 = 11602911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602911, s2 = 11576260, int(edited[s2]) = 0 s1 = 11602911, s2 = 11576260, d1 = 46, d2 = 49 Dl.O(d1) = 274820783,266339934 Dl.O(d2) = 274662693,231227905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602911, s2 = 11576260, dlinesl.size( ) = 34 s1 = 11602941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602941, s2 = 11583230, int(edited[s2]) = 0 s1 = 11602941, s2 = 11583230, d1 = 16, d2 = 10 Dl.O(d1) = 240227250 Dl.O(d2) = 239684746,239098615,266641218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602941, s2 = 11583230, dlinesl.size( ) = 18 s1 = 11602965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602965, s2 = 10564908, int(edited[s2]) = 0 s1 = 11602965, s2 = 10564908, d1 = 17, d2 = 15 Dl.O(d1) = 240733270,241198677,241629636,242027810,242394853,242735349,243052294 Dl.O(d2) = 242735342,243052293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602965, s2 = 10564908, dlinesl.size( ) = 20 s1 = 11603015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11603015, s2 = 11321902, int(edited[s2]) = 0 s1 = 11603015, s2 = 11321902, d1 = 10, d2 = 14 Dl.O(d1) = 266636144 Dl.O(d2) = 274304101,273259240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11603015, s2 = 11321902, dlinesl.size( ) = 20 s1 = 11603047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11603047, s2 = 11573618, int(edited[s2]) = 0 s1 = 11603047, s2 = 11573618, d1 = 18, d2 = 0 Dl.O(d1) = 266825662 Dl.O(d2) = 235263385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11603047, s2 = 11573618, dlinesl.size( ) = 20 s1 = 11603581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11603581, s2 = 11590260, int(edited[s2]) = 0 s1 = 11603581, s2 = 11590260, d1 = 11, d2 = 1 Dl.O(d1) = 240367180 Dl.O(d2) = 238635709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11603581, s2 = 11590260, dlinesl.size( ) = 8 s1 = 13922780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13922780, s2 = 11615714, int(edited[s2]) = 0 s1 = 13922780, s2 = 11615714, d1 = 17, d2 = 12 Dl.O(d1) = 240874093,240874094,241328598,241749700 Dl.O(d2) = 267090110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13922780, s2 = 11615714, dlinesl.size( ) = 8 s1 = 11603865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11603979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604059, s2 = 2079554, int(edited[s2]) = 0 s1 = 11604059, s2 = 2079554, d1 = 25, d2 = 9 Dl.O(d1) = 240454400 Dl.O(d2) = 55229969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604059, s2 = 2079554, dlinesl.size( ) = 2 s1 = 11604059, s2 = 2079554, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11604059, Dl.E( ) = 54, 2.19e-05 seconds used appending s1 = 11604121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604131, s2 = 11568398, int(edited[s2]) = 0 s1 = 11604131, s2 = 11568398, d1 = 15, d2 = 1 Dl.O(d1) = 240952888,266979466 Dl.O(d2) = 234370451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604131, s2 = 11568398, dlinesl.size( ) = 22 s1 = 11604303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604303, s2 = 11538078, int(edited[s2]) = 0 s1 = 11604303, s2 = 11538078, d1 = 12, d2 = 10 Dl.O(d1) = 266717848 Dl.O(d2) = 265963006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604303, s2 = 11538078, dlinesl.size( ) = 14 s1 = 11604841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604841, s2 = 14155276, int(edited[s2]) = 0 s1 = 11604841, s2 = 14155276, d1 = 11, d2 = 3 Dl.O(d1) = 267090991 Dl.O(d2) = 243548364,267278349,244285183,244285184,267347507,244878465,245052271,245215091,245367826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604841, s2 = 14155276, dlinesl.size( ) = 18 s1 = 11604931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604951, s2 = 14146728, int(edited[s2]) = 0 s1 = 11604951, s2 = 14146728, d1 = 17, d2 = 29 Dl.O(d1) = 240609352,266819140 Dl.O(d2) = 237594331,266460882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604951, s2 = 14146728, dlinesl.size( ) = 32 s1 = 11604991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11585719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11605409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605409, s2 = 11230798, int(edited[s2]) = 0 s1 = 11605409, s2 = 11230798, d1 = 28, d2 = 1 Dl.O(d1) = 274856348 Dl.O(d2) = 222754542,274045918 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11605453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605453, s2 = 10224045, int(edited[s2]) = 0 s1 = 11605453, s2 = 10224045, d1 = 61, d2 = 99 Dl.O(d1) = 267019255 Dl.O(d2) = 131828448,131828447,131828451,131828452,145087911,157522828,262152308,154653828,154653827,166370499,262636876,194500710,188324053,262225902,168986453,179272946,261710242,131828460,118000573,103855433,103855424,89751598,89751599,259366326,131828452,145087911,157522828,154653833,154653834,166370501,166370502,166370498,166370499,262636876,263080604,176963010,166370504,154653832,142009991,128647434,259279736,259279734,103855434,103855424,89751598,258741396,261375479,157522829,168986455,179272949,262152310,154653835,154653834,166370501,166370502,166370498,166370499,262636876,263080604,176963010,166370504,154653832,154653831,262152306,186332335,263481470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605453, s2 = 10224045, dlinesl.size( ) = 64 s1 = 15963160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11605499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605499, s2 = 11615984, int(edited[s2]) = 0 s1 = 11605499, s2 = 11615984, d1 = 8, d2 = 10 Dl.O(d1) = 266968734 Dl.O(d2) = 267095988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605499, s2 = 11615984, dlinesl.size( ) = 8 s1 = 11605505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605505, s2 = 7510409, int(edited[s2]) = 0 s1 = 11605505, s2 = 7510409, d1 = 91, d2 = 69 Dl.O(d1) = 241192016,241623490,242021950,267137301,243045139,243342089,267259217,244119670,243878844,243620112,243342087,243045136,242728620,242728619,243045132,243342082,243620103,243878832,267332399,244119691,243878860,243620126,267202582,243045144,243342098,243620130,243620137,243342105,243045148,242728631,242388745,242021954,242021953,242388743,242728629,267202580,243045132,243342082,243620103,243878832,267309789,244119675,244119670,243878844,243620112,243342087,243045136,242728620,242388736,267137301,243045139,243342089,267259217,244119670,243878844,243620112,243342087,243045136,242728620,242388736,267137299,267202585,243620113,243878845,267231900,243342091,243620121,243878856,244119687,267353589,244344230,267332405,244344207,244344209,267309782,243878830,267285413,244344187,244119678,243878851,243620119,243342090,243342091,243620121,243878856,244119686,244344218,244552910,274978720,267309801,244119693,267332396,243620135,267285417,267332380,244119651,243878830,267285413,244344187,244119678,243878851,243620119,243342090,243342091,243620121,243878856,244119686,244344218,244552910,274978720,267309801,244119693,243878862,243620137,243342105,243045148,242728631,242388745,242021954,242021953,242388742,267231909,243878865,244119694,267373833,267427539,245099205 Dl.O(d2) = 267353583,275002645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605505, s2 = 7510409, dlinesl.size( ) = 52 s1 = 14087387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087387, s2 = 8808394, int(edited[s2]) = 0 s1 = 14087387, s2 = 8808394, d1 = 1, d2 = 24 Dl.O(d1) = 95086278 Dl.O(d2) = 265406062,226446880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087387, s2 = 8808394, dlinesl.size( ) = 12 s1 = 14152210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11605919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605919, s2 = 11609842, int(edited[s2]) = 0 s1 = 11605919, s2 = 11609842, d1 = 3, d2 = 12 Dl.O(d1) = 241267222 Dl.O(d2) = 242087393,242087392,242450690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605919, s2 = 11609842, dlinesl.size( ) = 18 s1 = 10640763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10640763, s2 = 11605926, int(edited[s2]) = 0 s1 = 10640763, s2 = 11605926, d1 = 26, d2 = 20 Dl.O(d1) = 243166162,267317885,244630265,244817801,267399105,245316664,245463113,267464407,245849490,245962247,275037269,246437986,246517752,275050971,275048496,246437979,246353366,246263696,267515664 Dl.O(d2) = 244589233,244383734,244162611,243925404,267236808,242791389,274897718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10640763, s2 = 11605926, dlinesl.size( ) = 24 s1 = 14806999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11606361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15152068, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15152068, s2 = 11606362, int(edited[s2]) = 0 s1 = 15152068, s2 = 11606362, d1 = 13, d2 = 4 Dl.O(d1) = 234275372,235282604,236199523,237035064,237798571,238492598,239128447,239712943,240253375,240754161,241217990,241647575,242044223,241647568,241647545,241647546,242044198,242044262,242409551,242409507,242409508,242748575,242409563,242044273,241647604,267064605,242044209,242044212,242409515,242748580,242748593,242409560,242409558,242044266,242044265,242044199,241647607,241218026,241218027,241647608,241647609,241647557,241217976,241217975,267023129,241647579,241217994,266929892,240253376,240754167,267023125,242044248,242044227,242044228,242044222,241647568,241647545,241647546,242044198,242044262,242409551,242409507,242044208,241647557,241217976,241217975,267023129,241647579,241217994,266929892,240253376,240754167,267023125,242044248,242044227,242044228,242044222,241647568,241647545,241647546,242044198,242044262,242409551,242409507,242409508,242748575,242409563,242044273,241647604,241218022,240754184,240253390,239712956,239712955,266929891,240253378,240754171,240253382,240253383,240754177,267064599,241647590,241218003,240754187 Dl.O(d2) = 267114344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15152068, s2 = 11606362, dlinesl.size( ) = 2 s1 = 15152068, s2 = 11606362, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15152068, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11606381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606381, s2 = 11616592, int(edited[s2]) = 0 s1 = 11606381, s2 = 11616592, d1 = 0, d2 = 6 Dl.O(d1) = 241354610,241774043 Dl.O(d2) = 267145914,243455841,243455843,243455842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606381, s2 = 11616592, dlinesl.size( ) = 14 s1 = 11606435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606435, s2 = 11616442, int(edited[s2]) = 0 s1 = 11606435, s2 = 11616442, d1 = 35, d2 = 29 Dl.O(d1) = 241362782,241781242,267115323,242858473 Dl.O(d2) = 274979848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606435, s2 = 11616442, dlinesl.size( ) = 40 s1 = 11606499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606499, s2 = 10420082, int(edited[s2]) = 0 s1 = 11606499, s2 = 10420082, d1 = 25, d2 = 22 Dl.O(d1) = 266851132 Dl.O(d2) = 266729998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606499, s2 = 10420082, dlinesl.size( ) = 34 s1 = 14809271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14809271, s2 = 5726170, int(edited[s2]) = 0 s1 = 14809271, s2 = 5726170, d1 = 15, d2 = 8 Dl.O(d1) = 223271400,265176362,227474994,229185386,230696675,232043150,233256074,274592938,236265790,237097601,237097600,237856811,238547224,274792776,266848144,241680339,242074517,241680343,266848142,266848140,240792788,241253671,241680339,242074517,241680343,266848142,266726528,239760210,266789546,266902066,242074524,242437544,242774717,243088445,267155100,267218102,267120398,242774713,243088442,243088445,267155100,267218102,267120398,242774713,243088442,243088445,267155100,267218102,267120398,242437541,242074518,242074519,241680343,266848142,266726528,239760210,266789546,266902066,242074524,242437544,242774717,243088445,267155100,267218102,267120398,242774713,243088441,267120404,267120402,242774716,242437543,242437542,267120400,243088443,267042132,242437539,266998720,266998722,267082828,243088447,267155102,243915356 Dl.O(d2) = 244154041,267246222,243430720,267223600,242824278,274914996,242126163,241736071,241314343,240859374,240367352,239836297,266738882,237952433,237201330,237201331,237539899,236750354,235883733,266392800,232743127,231475531,230060315,228465258,226650164,224567748,265325296,216074671,264673942,274104941,201285620,194253075,186043255,176625633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14809271, s2 = 5726170, dlinesl.size( ) = 18 s1 = 11606995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606995, s2 = 11622448, int(edited[s2]) = 0 s1 = 11606995, s2 = 11622448, d1 = 3, d2 = 9 Dl.O(d1) = 267045607 Dl.O(d2) = 242926610,267248673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606995, s2 = 11622448, dlinesl.size( ) = 8 s1 = 11607061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607303, s2 = 11596394, int(edited[s2]) = 0 s1 = 11607303, s2 = 11596394, d1 = 13, d2 = 0 Dl.O(d1) = 266913361 Dl.O(d2) = 238276261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607303, s2 = 11596394, dlinesl.size( ) = 14 s1 = 16398264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16398264, s2 = 2837148, int(edited[s2]) = 0 s1 = 16398264, s2 = 2837148, d1 = 64, d2 = 34 Dl.O(d1) = 231604997,232861081,233998451,235034828,274729045,236836726,235978092,235034840,235034841,235978093,236836727,237616939,238326401,266745403,238326400,238972173,266864333,274865769,266864319,266745387,266528749,266442795,235034826 Dl.O(d2) = 193336835,185005310,175464407,175464402,164709922,164709923,262205042,193336830,193336835,185005310,175464407,164709926,152877881,152877880,140186563,140186564,126837835,112983637,98993585,85067579,71495049,58765175,47377911,47377912,58765176,71495051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16398264, s2 = 2837148, dlinesl.size( ) = 36 s1 = 11607655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607655, s2 = 11628102, int(edited[s2]) = 0 s1 = 11607655, s2 = 11628102, d1 = 11, d2 = 8 Dl.O(d1) = 267056259 Dl.O(d2) = 244085475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607655, s2 = 11628102, dlinesl.size( ) = 6 s1 = 16367817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16367817, s2 = 4606496, int(edited[s2]) = 0 s1 = 16367817, s2 = 4606496, d1 = 11, d2 = 12 Dl.O(d1) = 226631893,228448088,230044721,228448090,226631894,226631895,228448093,228448079,228448078,230044720,265435240,228448080,226631888,224548222,222149773,219356316,219356315,222149770,224548217 Dl.O(d2) = 274406840,232592799,231309503,229877821,228265568,226428972,224320097,221890322,219059297,215707556,211654977,206697546,200697299,193585224,185287264 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608113, s2 = 11618150, int(edited[s2]) = 0 s1 = 11608113, s2 = 11618150, d1 = 6, d2 = 15 Dl.O(d1) = 241640717 Dl.O(d2) = 267142318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608113, s2 = 11618150, dlinesl.size( ) = 32 s1 = 11608203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608203, s2 = 11627864, int(edited[s2]) = 0 s1 = 11608203, s2 = 11627864, d1 = 0, d2 = 0 Dl.O(d1) = 197248006,203808987,209286532,213779492,217465923,220540463,223156333,225417718,227384343,229104399,230623320,231976793,233195901,234298863,235302840,236218154,237052983,237815452,238508785,266720794,239726791,240266071,240766323,241229512,266994610,242419612,242757893,243072754,243368520,243645222,243902778,244142968,244366271,267319172,244944677,245113679,244944679,244765176,244765175,244944677,245113680,267400164,245420024,245559837,245691064,245813360,245928695,246037161,246138916,246236152,246327490,246413369,246494308,246571437,246644209,246712728,246777769 Dl.O(d2) = 197248006,203808987,209286532,213779492,217465923,220540463,223156333,225417718,227384343,229104399,230623320,231976793,233195901,234298863,235302840,236218154,237052983,237815452,238508785,266720794,239726791,240266071,240766323,241229512,266994610,242419612,242757893,243072754,243368520,243645222,243902778,244142968,244366271,267319172,244944677,245113679,244944679,244765176,244765175,244944677,245113680,267400164,245420024,245559837,245691064,245813360,245928695,246037161,246138916,246236152,246327490,246413369,246494308,246571437,246644209,246712728,246777769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608203, s2 = 11627864, dlinesl.size( ) = 2 s1 = 11608203, s2 = 11627864, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11608203, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11608211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11608231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608231, s2 = 11556210, int(edited[s2]) = 0 s1 = 11608231, s2 = 11556210, d1 = 15, d2 = 2 Dl.O(d1) = 241234106 Dl.O(d2) = 236230274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608231, s2 = 11556210, dlinesl.size( ) = 14 s1 = 15827284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15827284, s2 = 7490106, int(edited[s2]) = 0 s1 = 15827284, s2 = 7490106, d1 = 19, d2 = 12 Dl.O(d1) = 234509491,235496633,236397345,237219849,237969130,238650127,239273813,239847278,240376965,240867994,241322494,241743614,242133125,242494380 Dl.O(d2) = 246882886,246822760,246760674,246694899,246694898,246760676,246822763,246822760,246760674,246694899,246625203,246550765,246472370,246389986,246302700,246209970,246111588,246008504,245898073,245780736,245655740,245521482,245378517,245226551,245064357,244891154,244707400,244510828,244300236,244073544,243829745,243567345,243284678,267164501,242312045,241937703,274879645,240623263,240114363,239565514,238971497,238971496,266679170,274729012,237122908,266247786,230752106,229247989,227546433,274206160,220778048,217739959,214099610,209665680,204261341,197783527,190180860,262312732,171351106,160128723,147877577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15827284, s2 = 7490106, dlinesl.size( ) = 16 s1 = 11608677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608677, s2 = 15032086, int(edited[s2]) = 0 s1 = 11608677, s2 = 15032086, d1 = 5, d2 = 3 Dl.O(d1) = 266947362,274810192,266835877 Dl.O(d2) = 239279221,266720306,266576288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608677, s2 = 15032086, dlinesl.size( ) = 2 s1 = 11608677, s2 = 15032086, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11608677, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11608739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11608745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11608991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609171, s2 = 11626836, int(edited[s2]) = 0 s1 = 11609171, s2 = 11626836, d1 = 16, d2 = 18 Dl.O(d1) = 267082705 Dl.O(d2) = 267246123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609171, s2 = 11626836, dlinesl.size( ) = 24 s1 = 11609247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609247, s2 = 14154932, int(edited[s2]) = 0 s1 = 11609247, s2 = 14154932, d1 = 0, d2 = 3 Dl.O(d1) = 241843614 Dl.O(d2) = 243215723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609247, s2 = 14154932, dlinesl.size( ) = 2 s1 = 11609247, s2 = 14154932, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11609247, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 11609337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609337, s2 = 13246800, int(edited[s2]) = 0 s1 = 11609337, s2 = 13246800, d1 = 35, d2 = 36 Dl.O(d1) = 241859873,242241057,242593797 Dl.O(d2) = 16565190,11547106,11547105,16565155,16565159,21202903,19661213,15102361,15102360,268375633,18106845,12839256,8730997,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638210,17049384,17049385,16415028,16415030,11627050,7745147,7745146,11627046,16659535,12291373,8301104,5355275,5355276,7911355,7911354,11837803,15577661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609337, s2 = 13246800, dlinesl.size( ) = 2 s1 = 11609337, s2 = 13246800, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11609337, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 12011424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609825, s2 = 11564734, int(edited[s2]) = 0 s1 = 11609825, s2 = 11564734, d1 = 8, d2 = 12 Dl.O(d1) = 241939615 Dl.O(d2) = 266577726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609825, s2 = 11564734, dlinesl.size( ) = 20 s1 = 11609955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7352679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7352679, s2 = 11225312, int(edited[s2]) = 0 s1 = 7352679, s2 = 11225312, d1 = 61, d2 = 101 Dl.O(d1) = 265745549,274638795,266679141,238971243,266864243,266965889,241532474 Dl.O(d2) = 122337156,122337155,136319028,122337149,122337150,136319030,122337152,122337151,122337149,107915157,93481400,271117895,47857652,47857651,38146072,29579812,29399955,22069368,15964459,15945035,15945033,15937502,11059152,7333010,4632346,4632345,7333006,11059144,12827730,8721811,5677279,3531083,2101415,1209963,1209965,2101421,3531096,5677306,8721856,268125265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7352679, s2 = 11225312, dlinesl.size( ) = 38 s1 = 11610125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610125, s2 = 11587188, int(edited[s2]) = 0 s1 = 11610125, s2 = 11587188, d1 = 35, d2 = 40 Dl.O(d1) = 274968882,244540564,267358766 Dl.O(d2) = 266939220,239820449,266773546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610125, s2 = 11587188, dlinesl.size( ) = 44 s1 = 11610345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610345, s2 = 11610694, int(edited[s2]) = 0 s1 = 11610345, s2 = 11610694, d1 = 10, d2 = 19 Dl.O(d1) = 267102709 Dl.O(d2) = 243631167,267260131,243352786,243352785,267260131,267264758,267070728,266984818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610345, s2 = 11610694, dlinesl.size( ) = 22 s1 = 11610749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610749, s2 = 10409069, int(edited[s2]) = 0 s1 = 11610749, s2 = 10409069, d1 = 36, d2 = 35 Dl.O(d1) = 241719996,241719995 Dl.O(d2) = 240343535,239812297,266693642,274707374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610749, s2 = 10409069, dlinesl.size( ) = 40 s1 = 13929074, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11611023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11611023, s2 = 11527436, int(edited[s2]) = 0 s1 = 11611023, s2 = 11527436, d1 = 9, d2 = 5 Dl.O(d1) = 274760820,238018024 Dl.O(d2) = 265634538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11611023, s2 = 11527436, dlinesl.size( ) = 14 s1 = 14804322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11611375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11611375, s2 = 11588122, int(edited[s2]) = 0 s1 = 11611375, s2 = 11588122, d1 = 6, d2 = 8 Dl.O(d1) = 266951390 Dl.O(d2) = 274792490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11611375, s2 = 11588122, dlinesl.size( ) = 14 s1 = 11611953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11611953, s2 = 11632156, int(edited[s2]) = 0 s1 = 11611953, s2 = 11632156, d1 = 11, d2 = 9 Dl.O(d1) = 274915611 Dl.O(d2) = 267368767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11611953, s2 = 11632156, dlinesl.size( ) = 14 s1 = 11612053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612053, s2 = 11655048, int(edited[s2]) = 0 s1 = 11612053, s2 = 11655048, d1 = 11, d2 = 17 Dl.O(d1) = 242315464,267164913 Dl.O(d2) = 243288179,242985625,242985624,267226501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612053, s2 = 11655048, dlinesl.size( ) = 18 s1 = 6140862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612165, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11612213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612213, s2 = 10356010, int(edited[s2]) = 0 s1 = 11612213, s2 = 10356010, d1 = 15, d2 = 0 Dl.O(d1) = 242343386 Dl.O(d2) = 147850476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612213, s2 = 10356010, dlinesl.size( ) = 18 s1 = 14153517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612407, s2 = 11096360, int(edited[s2]) = 0 s1 = 11612407, s2 = 11096360, d1 = 57, d2 = 30 Dl.O(d1) = 274918029,274831594,239083046,266666030 Dl.O(d2) = 258327648 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612527, s2 = 10468420, int(edited[s2]) = 0 s1 = 11612527, s2 = 10468420, d1 = 9, d2 = 15 Dl.O(d1) = 267172515 Dl.O(d2) = 244269747,267386085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612527, s2 = 10468420, dlinesl.size( ) = 14 s1 = 11612597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612597, s2 = 14147972, int(edited[s2]) = 0 s1 = 11612597, s2 = 14147972, d1 = 10, d2 = 32 Dl.O(d1) = 242055785 Dl.O(d2) = 239728711,239145589,238511006,238511005,266763741,239728713,239145603,239145602,239728713,239145603,238511017,237817887,266551545,274736575,236221151,236221153,235306211,235306210,235306203,234302700,234302699,235306202,235306209,235306205,234302709,233200008,233200009,233199996,233199994,234302690,235306196,235306200,235306208,235306190,234302694,234302695,233200006,266277397,233200003,231981289,231981290,233200005,234302707,235306191,234302684,233199989,231981282,230628326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612597, s2 = 14147972, dlinesl.size( ) = 2 s1 = 11612597, s2 = 14147972, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11612597, Dl.E( ) = 34, 2.69e-05 seconds used appending s1 = 11612633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612721, s2 = 11638098, int(edited[s2]) = 0 s1 = 11612721, s2 = 11638098, d1 = 58, d2 = 61 Dl.O(d1) = 267175901,243388072 Dl.O(d2) = 267580101,275056737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612721, s2 = 11638098, dlinesl.size( ) = 70 s1 = 11613181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613193, s2 = 11591480, int(edited[s2]) = 0 s1 = 11613193, s2 = 11591480, d1 = 18, d2 = 15 Dl.O(d1) = 267151794 Dl.O(d2) = 266649391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613193, s2 = 11591480, dlinesl.size( ) = 20 s1 = 11613203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613287, s2 = 11581900, int(edited[s2]) = 0 s1 = 11613287, s2 = 11581900, d1 = 19, d2 = 20 Dl.O(d1) = 242191040 Dl.O(d2) = 266816480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613287, s2 = 11581900, dlinesl.size( ) = 34 s1 = 13931302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13931302, s2 = 14145258, int(edited[s2]) = 0 s1 = 13931302, s2 = 14145258, d1 = 26, d2 = 25 Dl.O(d1) = 242507199,242196814,241812258,241812257 Dl.O(d2) = 238755747,238086330,237350584,236542077,235656626,266300288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13931302, s2 = 14145258, dlinesl.size( ) = 2 s1 = 13931302, s2 = 14145258, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13931302, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 14145257, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10956580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613401, s2 = 11577822, int(edited[s2]) = 0 s1 = 11613401, s2 = 11577822, d1 = 36, d2 = 24 Dl.O(d1) = 266974906,240479764,240964239,240964237,240479763,240479762,240964235,266974904,242211601,242211617,241828134,267061738,242211594,242566062 Dl.O(d2) = 266544440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613401, s2 = 11577822, dlinesl.size( ) = 42 s1 = 11613441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6070570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613607, s2 = 14001023, int(edited[s2]) = 0 s1 = 11613607, s2 = 14001023, d1 = 18, d2 = 16 Dl.O(d1) = 267158497,243235586,243521375 Dl.O(d2) = 245911005,245794926,245794927,245671077,245538362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613607, s2 = 14001023, dlinesl.size( ) = 18 s1 = 11613703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13931760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13931760, s2 = 5950138, int(edited[s2]) = 0 s1 = 13931760, s2 = 5950138, d1 = 57, d2 = 103 Dl.O(d1) = 267080758,242278854,266899332 Dl.O(d2) = 240573596,240060899,239507920,239507919,266786318,240573587,240573586,241049719,241491342,241049724,240573589,240573590,240573599,241049739,266899330,241049727,240573592,240060897,240060896,239507920,238908769,238256433,238256434,237539783,236750213,235883552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13931760, s2 = 5950138, dlinesl.size( ) = 24 s1 = 16328725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16328725, s2 = 12580971, int(edited[s2]) = 0 s1 = 16328725, s2 = 12580971, d1 = 15, d2 = 10 Dl.O(d1) = 224883089,226926391,228707074,230274175,228707076,228707075,230274176 Dl.O(d2) = 245234316,267441209,245528766,245662836,267485301,246013604,267521329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16328725, s2 = 12580971, dlinesl.size( ) = 2 s1 = 16328725, s2 = 12580971, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16328725, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11614929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11614965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11614965, s2 = 11663403, int(edited[s2]) = 0 s1 = 11614965, s2 = 11663403, d1 = 3, d2 = 13 Dl.O(d1) = 242835308 Dl.O(d2) = 244417039,244417041,244199404,267247086,244417040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11614965, s2 = 11663403, dlinesl.size( ) = 14 s1 = 11614983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10292124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11615187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615187, s2 = 11591982, int(edited[s2]) = 0 s1 = 11615187, s2 = 11591982, d1 = 25, d2 = 19 Dl.O(d1) = 267156124,239911442,239911443 Dl.O(d2) = 266720177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615187, s2 = 11591982, dlinesl.size( ) = 14 s1 = 11615199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615199, s2 = 11632238, int(edited[s2]) = 0 s1 = 11615199, s2 = 11632238, d1 = 10, d2 = 13 Dl.O(d1) = 267270349 Dl.O(d2) = 267362453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615199, s2 = 11632238, dlinesl.size( ) = 16 s1 = 9640915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9640915, s2 = 8984383, int(edited[s2]) = 0 s1 = 9640915, s2 = 8984383, d1 = 23, d2 = 21 Dl.O(d1) = 241410951,267041573,242210074,242564689,242564694,242564693 Dl.O(d2) = 267217703,243759717,244008473,274975381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9640915, s2 = 8984383, dlinesl.size( ) = 18 s1 = 11615373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615373, s2 = 11581108, int(edited[s2]) = 0 s1 = 11615373, s2 = 11581108, d1 = 12, d2 = 4 Dl.O(d1) = 274834264,240489269,239967919,239967918,266805494 Dl.O(d2) = 238795951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615373, s2 = 11581108, dlinesl.size( ) = 14 s1 = 11615713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615713, s2 = 13922779, int(edited[s2]) = 0 s1 = 11615713, s2 = 13922779, d1 = 13, d2 = 16 Dl.O(d1) = 267090111 Dl.O(d2) = 239507916,238908766,238256432,238256431,237539780,237539779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615713, s2 = 13922779, dlinesl.size( ) = 8 s1 = 11615831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11615983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615983, s2 = 11605500, int(edited[s2]) = 0 s1 = 11615983, s2 = 11605500, d1 = 11, d2 = 9 Dl.O(d1) = 267095989 Dl.O(d2) = 266968735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615983, s2 = 11605500, dlinesl.size( ) = 8 s1 = 11616019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616019, s2 = 11582598, int(edited[s2]) = 0 s1 = 11616019, s2 = 11582598, d1 = 32, d2 = 3 Dl.O(d1) = 267026664 Dl.O(d2) = 239616674,239026683,238385737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616019, s2 = 11582598, dlinesl.size( ) = 42 s1 = 6164728, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11616405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11616441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616441, s2 = 11606436, int(edited[s2]) = 0 s1 = 11616441, s2 = 11606436, d1 = 13, d2 = 1 Dl.O(d1) = 274979849 Dl.O(d2) = 241363212,240911344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616441, s2 = 11606436, dlinesl.size( ) = 26 s1 = 11616459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616459, s2 = 14145123, int(edited[s2]) = 0 s1 = 11616459, s2 = 14145123, d1 = 41, d2 = 27 Dl.O(d1) = 274909363 Dl.O(d2) = 266063465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616459, s2 = 14145123, dlinesl.size( ) = 34 s1 = 11616483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16261165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16261165, s2 = 11616484, int(edited[s2]) = 0 s1 = 16261165, s2 = 11616484, d1 = 0, d2 = 0 Dl.O(d1) = 267222418,244011508,243922935,243668006,243393846,243099816,242786427,242449345,242085995,241692029,274871273,239772210,239191922,238559990,237870949,237114288,266474677,234381997,266178755,265936303,227520387,225570318,274579403,234382000,274805894,274682911,274652262,265648799,265104329,214034133,209585023,264071285,263363513,262492235,261460929,120376369,106174217,91976616,91976615,106174215,120376368,134209388,134209385,134209386,147421476 Dl.O(d2) = 267222418,244011508,243922935,243668006,243393846,243099816,242786427,242449345,242085995,241692029,274871273,239772210,239191922,238559990,237870949,237114288,266474677,234381997,266178755,265936303,227520387,225570318,274579403,234382000,274805894,274682911,274652262,265648799,265104329,214034133,209585023,264071285,263363513,262492235,261460929,120376369,106174217,91976616,91976615,106174215,120376368,134209388,134209385,134209386,147421476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16261165, s2 = 11616484, dlinesl.size( ) = 2 s1 = 16261165, s2 = 11616484, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16261165, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11616591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616591, s2 = 11606382, int(edited[s2]) = 0 s1 = 11616591, s2 = 11606382, d1 = 17, d2 = 11 Dl.O(d1) = 242817079,242817080,242817078,267145915 Dl.O(d2) = 240842998,240349056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616591, s2 = 11606382, dlinesl.size( ) = 14 s1 = 11616697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11616803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616803, s2 = 12015200, int(edited[s2]) = 0 s1 = 11616803, s2 = 12015200, d1 = 0, d2 = 8 Dl.O(d1) = 243168334 Dl.O(d2) = 243730650,243974788,243723434,243451671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616803, s2 = 12015200, dlinesl.size( ) = 8 s1 = 11617061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617061, s2 = 10430829, int(edited[s2]) = 0 s1 = 11617061, s2 = 10430829, d1 = 1, d2 = 28 Dl.O(d1) = 243207159 Dl.O(d2) = 274975484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617061, s2 = 10430829, dlinesl.size( ) = 30 s1 = 9641000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617655, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11618149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618149, s2 = 11608114, int(edited[s2]) = 0 s1 = 11618149, s2 = 11608114, d1 = 30, d2 = 0 Dl.O(d1) = 267142319 Dl.O(d2) = 238548301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618149, s2 = 11608114, dlinesl.size( ) = 48 s1 = 14816631, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11618209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618209, s2 = 11583638, int(edited[s2]) = 0 s1 = 11618209, s2 = 11583638, d1 = 10, d2 = 14 Dl.O(d1) = 267077588 Dl.O(d2) = 237899366,237144087,236314729,266403156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618209, s2 = 11583638, dlinesl.size( ) = 22 s1 = 11618285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618285, s2 = 9010106, int(edited[s2]) = 0 s1 = 11618285, s2 = 9010106, d1 = 33, d2 = 39 Dl.O(d1) = 267266029 Dl.O(d2) = 275048145,246723725,246787912,267635189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618285, s2 = 9010106, dlinesl.size( ) = 26 s1 = 13935796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11618417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618417, s2 = 4115199, int(edited[s2]) = 0 s1 = 11618417, s2 = 4115199, d1 = 77, d2 = 64 Dl.O(d1) = 274886922,240881966,266942596,266837060,274788523,236420699,237241644 Dl.O(d2) = 263107398,185637888,261115590,261115588,185637885,185637887,261115590,153720842,141054599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618417, s2 = 4115199, dlinesl.size( ) = 38 s1 = 11618545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618545, s2 = 11637246, int(edited[s2]) = 0 s1 = 11618545, s2 = 11637246, d1 = 1, d2 = 47 Dl.O(d1) = 243462834 Dl.O(d2) = 267564147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618545, s2 = 11637246, dlinesl.size( ) = 66 s1 = 11618749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618749, s2 = 11567500, int(edited[s2]) = 0 s1 = 11618749, s2 = 11567500, d1 = 13, d2 = 10 Dl.O(d1) = 274941301 Dl.O(d2) = 266538362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618749, s2 = 11567500, dlinesl.size( ) = 14 s1 = 11618889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618889, s2 = 14156311, int(edited[s2]) = 0 s1 = 11618889, s2 = 14156311, d1 = 26, d2 = 32 Dl.O(d1) = 267247949,244023993 Dl.O(d2) = 267402697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618889, s2 = 14156311, dlinesl.size( ) = 62 s1 = 11618897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618897, s2 = 10555206, int(edited[s2]) = 0 s1 = 11618897, s2 = 10555206, d1 = 0, d2 = 11 Dl.O(d1) = 243511979 Dl.O(d2) = 244232658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618897, s2 = 10555206, dlinesl.size( ) = 14 s1 = 12014670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11619265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619265, s2 = 11581828, int(edited[s2]) = 0 s1 = 11619265, s2 = 11581828, d1 = 14, d2 = 4 Dl.O(d1) = 267059422 Dl.O(d2) = 239566355,238972513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619265, s2 = 11581828, dlinesl.size( ) = 20 s1 = 11619653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619653, s2 = 11626348, int(edited[s2]) = 0 s1 = 11619653, s2 = 11626348, d1 = 3, d2 = 12 Dl.O(d1) = 243643097 Dl.O(d2) = 244943787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619653, s2 = 11626348, dlinesl.size( ) = 16 s1 = 14822266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11619933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619933, s2 = 15045490, int(edited[s2]) = 0 s1 = 11619933, s2 = 15045490, d1 = 0, d2 = 5 Dl.O(d1) = 243706186 Dl.O(d2) = 244614259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619933, s2 = 15045490, dlinesl.size( ) = 8 s1 = 11620127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620127, s2 = 11258414, int(edited[s2]) = 0 s1 = 11620127, s2 = 11258414, d1 = 28, d2 = 30 Dl.O(d1) = 267136720 Dl.O(d2) = 265453212,264013172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620127, s2 = 11258414, dlinesl.size( ) = 38 s1 = 14215730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11620411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620411, s2 = 7517093, int(edited[s2]) = 0 s1 = 11620411, s2 = 7517093, d1 = 27, d2 = 32 Dl.O(d1) = 267274847 Dl.O(d2) = 267413980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620411, s2 = 7517093, dlinesl.size( ) = 36 s1 = 11620553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620553, s2 = 4624901, int(edited[s2]) = 0 s1 = 11620553, s2 = 4624901, d1 = 66, d2 = 22 Dl.O(d1) = 243540931 Dl.O(d2) = 185986995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620553, s2 = 4624901, dlinesl.size( ) = 74 s1 = 11620605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620605, s2 = 12343878, int(edited[s2]) = 0 s1 = 11620605, s2 = 12343878, d1 = 13, d2 = 11 Dl.O(d1) = 243810545,244055761,244283570 Dl.O(d2) = 244495055,244692574,244876903,245050788,245050787,245050788,245213711,245366459,245510153,245645374,245770950,245696110,245565582,275013056,245278128,245119917,267376420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620605, s2 = 12343878, dlinesl.size( ) = 10 s1 = 7497003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7497003, s2 = 6202835, int(edited[s2]) = 0 s1 = 7497003, s2 = 6202835, d1 = 16, d2 = 12 Dl.O(d1) = 267230825,243869886,244111434,244336247 Dl.O(d2) = 243829271,243566908,267050944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7497003, s2 = 6202835, dlinesl.size( ) = 20 s1 = 14154981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11620803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620803, s2 = 11627230, int(edited[s2]) = 0 s1 = 11620803, s2 = 11627230, d1 = 17, d2 = 13 Dl.O(d1) = 267305349,267349437 Dl.O(d2) = 275007905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620803, s2 = 11627230, dlinesl.size( ) = 26 s1 = 11620805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620805, s2 = 11616930, int(edited[s2]) = 0 s1 = 11620805, s2 = 11616930, d1 = 5, d2 = 0 Dl.O(d1) = 243835381 Dl.O(d2) = 243291616,267165293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620805, s2 = 11616930, dlinesl.size( ) = 16 s1 = 8990674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8990674, s2 = 8990267, int(edited[s2]) = 0 s1 = 8990674, s2 = 8990267, d1 = 31, d2 = 27 Dl.O(d1) = 267369872,245493240,245629382,245755806,245629380,245493238,245348331 Dl.O(d2) = 244671450,267165492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8990674, s2 = 8990267, dlinesl.size( ) = 32 s1 = 13938326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11621351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11621351, s2 = 11626500, int(edited[s2]) = 0 s1 = 11621351, s2 = 11626500, d1 = 1, d2 = 8 Dl.O(d1) = 243941960 Dl.O(d2) = 244602778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11621351, s2 = 11626500, dlinesl.size( ) = 16 s1 = 11621387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11621387, s2 = 12015984, int(edited[s2]) = 0 s1 = 11621387, s2 = 12015984, d1 = 13, d2 = 2 Dl.O(d1) = 267264164 Dl.O(d2) = 243130452,242817081,267178939,267238901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11621387, s2 = 12015984, dlinesl.size( ) = 16 s1 = 11621505, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11621745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11621745, s2 = 1271220, int(edited[s2]) = 0 s1 = 11621745, s2 = 1271220, d1 = 31, d2 = 247 Dl.O(d1) = 244007226 Dl.O(d2) = 257113131,31909397,24377831,17979314,17979313,24377829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11621745, s2 = 1271220, dlinesl.size( ) = 82 s1 = 10545070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11621835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10292638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11622447, s2 = 11606996, int(edited[s2]) = 0 s1 = 11622447, s2 = 11606996, d1 = 18, d2 = 11 Dl.O(d1) = 267248672 Dl.O(d2) = 267045606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11622447, s2 = 11606996, dlinesl.size( ) = 20 s1 = 11622651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13940741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11622969, s2 = 11598358, int(edited[s2]) = 0 s1 = 11622969, s2 = 11598358, d1 = 15, d2 = 16 Dl.O(d1) = 243983214 Dl.O(d2) = 266949844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11622969, s2 = 11598358, dlinesl.size( ) = 24 s1 = 11623081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11623193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623193, s2 = 10391202, int(edited[s2]) = 0 s1 = 11623193, s2 = 10391202, d1 = 1, d2 = 20 Dl.O(d1) = 244246562 Dl.O(d2) = 246980103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623193, s2 = 10391202, dlinesl.size( ) = 24 s1 = 11623227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623227, s2 = 11630204, int(edited[s2]) = 0 s1 = 11623227, s2 = 11630204, d1 = 0, d2 = 17 Dl.O(d1) = 244250036 Dl.O(d2) = 267384077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623227, s2 = 11630204, dlinesl.size( ) = 18 s1 = 15153535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11623439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623439, s2 = 11592718, int(edited[s2]) = 0 s1 = 11623439, s2 = 11592718, d1 = 10, d2 = 12 Dl.O(d1) = 267090964 Dl.O(d2) = 266962176,266802576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623439, s2 = 11592718, dlinesl.size( ) = 8 s1 = 11623541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11623553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623553, s2 = 10661945, int(edited[s2]) = 0 s1 = 11623553, s2 = 10661945, d1 = 60, d2 = 9 Dl.O(d1) = 244077650,267349351,244894510,245067333,267424477,245381154,245229325,245229326,245067325,244894497,244894494,245067318,267424471,275016207,245524087,275006795,245067336 Dl.O(d2) = 245067317,245067300,244894477,244710885,267327997,243834462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623553, s2 = 10661945, dlinesl.size( ) = 12 s1 = 11622282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13994727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11624073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624073, s2 = 14154306, int(edited[s2]) = 0 s1 = 11624073, s2 = 14154306, d1 = 5, d2 = 13 Dl.O(d1) = 244178198,267265227 Dl.O(d2) = 242807077,242469780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624073, s2 = 14154306, dlinesl.size( ) = 8 s1 = 11624133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11624449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624449, s2 = 10382345, int(edited[s2]) = 0 s1 = 11624449, s2 = 10382345, d1 = 0, d2 = 18 Dl.O(d1) = 244460423 Dl.O(d2) = 267419497,245483531,245620050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624449, s2 = 10382345, dlinesl.size( ) = 14 s1 = 11624777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624777, s2 = 7352746, int(edited[s2]) = 0 s1 = 11624777, s2 = 7352746, d1 = 66, d2 = 70 Dl.O(d1) = 244293394 Dl.O(d2) = 265746194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624777, s2 = 7352746, dlinesl.size( ) = 72 s1 = 11624911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11625049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11625149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11625149, s2 = 10429445, int(edited[s2]) = 0 s1 = 11625149, s2 = 10429445, d1 = 14, d2 = 11 Dl.O(d1) = 244357434,244357435,244564830,244757501,244937708,245107219 Dl.O(d2) = 245686218,245686217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11625149, s2 = 10429445, dlinesl.size( ) = 20 s1 = 14827860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11625587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11625587, s2 = 6310387, int(edited[s2]) = 0 s1 = 11625587, s2 = 6310387, d1 = 15, d2 = 23 Dl.O(d1) = 267400487 Dl.O(d2) = 245988596,246092978,246191831,267529248,267529250,245988594,245988595,275040614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11625587, s2 = 6310387, dlinesl.size( ) = 20 s1 = 11625595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11625595, s2 = 14166747, int(edited[s2]) = 0 s1 = 11625595, s2 = 14166747, d1 = 13, d2 = 0 Dl.O(d1) = 244443893,244228778,243996462,243746969,243477946,243188671,242880266,242548741,242192927,267039705 Dl.O(d2) = 239930116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11625595, s2 = 14166747, dlinesl.size( ) = 14 s1 = 13942266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11625919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11625919, s2 = 13989244, int(edited[s2]) = 0 s1 = 11625919, s2 = 13989244, d1 = 50, d2 = 1 Dl.O(d1) = 244692126,244494563,267304700,242957189,267251727 Dl.O(d2) = 242631183,274969615,274954152,267251725,267302881,267327504,267325677,274995687,267280146,243261363,242957179,242631165,242631164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11625919, s2 = 13989244, dlinesl.size( ) = 42 s1 = 11626021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626021, s2 = 11544162, int(edited[s2]) = 0 s1 = 11626021, s2 = 11544162, d1 = 29, d2 = 0 Dl.O(d1) = 267289340,243833921,243572016,243289668,242987112,242663957,242663956 Dl.O(d2) = 235992310,235049442,234013533,232876913,231621686,231621685,230223326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626021, s2 = 11544162, dlinesl.size( ) = 12 s1 = 16351859, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11626347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14825728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626397, s2 = 6019409, int(edited[s2]) = 0 s1 = 11626397, s2 = 6019409, d1 = 11, d2 = 2 Dl.O(d1) = 244773030 Dl.O(d2) = 239861286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626397, s2 = 6019409, dlinesl.size( ) = 24 s1 = 11626405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626405, s2 = 11586792, int(edited[s2]) = 0 s1 = 11626405, s2 = 11586792, d1 = 20, d2 = 18 Dl.O(d1) = 267312994,243659732,267206970 Dl.O(d2) = 266982016,266882872,266702252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626405, s2 = 11586792, dlinesl.size( ) = 20 s1 = 11626835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626835, s2 = 11609172, int(edited[s2]) = 0 s1 = 11626835, s2 = 11609172, d1 = 18, d2 = 16 Dl.O(d1) = 267246122 Dl.O(d2) = 267082704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626835, s2 = 11609172, dlinesl.size( ) = 26 s1 = 11627135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627135, s2 = 11640006, int(edited[s2]) = 0 s1 = 11627135, s2 = 11640006, d1 = 7, d2 = 13 Dl.O(d1) = 267340468 Dl.O(d2) = 267582035,267607925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627135, s2 = 11640006, dlinesl.size( ) = 14 s1 = 11627229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627229, s2 = 11620804, int(edited[s2]) = 0 s1 = 11627229, s2 = 11620804, d1 = 12, d2 = 16 Dl.O(d1) = 275007904 Dl.O(d2) = 267349436,267305348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627229, s2 = 11620804, dlinesl.size( ) = 26 s1 = 12017674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11627713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627713, s2 = 11591052, int(edited[s2]) = 0 s1 = 11627713, s2 = 11591052, d1 = 9, d2 = 22 Dl.O(d1) = 244808460 Dl.O(d2) = 267211818,242835680,267112650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627713, s2 = 11591052, dlinesl.size( ) = 30 s1 = 11627863, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11628093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11628093, s2 = 11552654, int(edited[s2]) = 0 s1 = 11628093, s2 = 11552654, d1 = 6, d2 = 5 Dl.O(d1) = 267421191,245497181,245632895,245633072,245758916 Dl.O(d2) = 245036179,267399604,226512867,273316388,259370497,258121973,269296454,268246948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11628093, s2 = 11552654, dlinesl.size( ) = 2 s1 = 11628093, s2 = 11552654, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11628093, Dl.E( ) = 12, 8.82e-06 seconds used appending s1 = 11628101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11628101, s2 = 11607656, int(edited[s2]) = 0 s1 = 11628101, s2 = 11607656, d1 = 13, d2 = 14 Dl.O(d1) = 244861753 Dl.O(d2) = 267056258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11628101, s2 = 11607656, dlinesl.size( ) = 6 s1 = 10293383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11628461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8981361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8981361, s2 = 6288011, int(edited[s2]) = 0 s1 = 8981361, s2 = 6288011, d1 = 1, d2 = 19 Dl.O(d1) = 243638161 Dl.O(d2) = 245557456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8981361, s2 = 6288011, dlinesl.size( ) = 2 s1 = 8981361, s2 = 6288011, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8981361, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 14824204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11628693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11628693, s2 = 11627338, int(edited[s2]) = 0 s1 = 11628693, s2 = 11627338, d1 = 3, d2 = 10 Dl.O(d1) = 244970392 Dl.O(d2) = 267409930,244792422,267352808,244178250,267337245,244792429,244792433,244970394,244792425,244602349,244602350,244792427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11628693, s2 = 11627338, dlinesl.size( ) = 12 s1 = 13944730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11629071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629071, s2 = 13589465, int(edited[s2]) = 0 s1 = 11629071, s2 = 13589465, d1 = 99, d2 = 93 Dl.O(d1) = 245197344,245350871 Dl.O(d2) = 29140685,30027662,30027661,38600719,38600725,48515424,59027365,47624572,47624571,59027362,71770161,59027359,59027360,59908607,59908608,72649104,85360023,71770160,59027376,59027377,71770171,59027371,47624576,37701565,29140684,254782162,15764315,21833037,29140685,30027662,22654154,16461782,255486207,30027663,38600721,38600724,30027665,22654155,22654156,30027667,38600726,30027668,30027667,38600727,48515426,59908615,72649109,86250279,86250275,72649107,72649108,86250277,100217214,114251027,127168522,127168523,260613074,100217211,258782239,59908612,59908613,72649108,86250277,100217214,100217212,100217213,114251029,113308699,113308698,114251024,128137460,141498638,154164127,165924712,176572068,185994987,194210512,201247566,207171091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629071, s2 = 13589465, dlinesl.size( ) = 16 s1 = 13945020, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11629119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6245039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6245039, s2 = 11379027, int(edited[s2]) = 0 s1 = 6245039, s2 = 11379027, d1 = 19, d2 = 24 Dl.O(d1) = 242300514,242300515,242648634,242973222,243276369,243559618,243822414,267304095,244504483,244701207,244884833,245058079,245197432,245197431,245197436,245033566,244858690,244673032,244474032,244474026,244474027,244673023,244858676,245033553,245058083,245058080,245197426,245033556,244858679,244673027,244673026,267345083,244474033,244673033,267385229,245197438,245350941 Dl.O(d2) = 266664551,266511575,234839374,266226127,231352074,266064694,215786698,211744344,206797343,200810070,193715098,185440321,185440320,175957617,165255585,165255584,175957614,185440319,185440323,185440324,193715096,185440325,185440326,185440322,175957617,165255585,165255584,175957615,175957620,165255586,153456112,140775849,261704629,113548571,99536842,270316161,257501197,37952802,256920947,29387910,22057503,15953513,11071574,7341291,4637051,2793127,1620177,921408,519496,291269,161164,161165,291275,519509,921439,1620241,2793242,4636687,2792927,1620070,921349,921348,519481,519480,921365,1620103,2792993,2791601,2791600,4634203,7336387,11064603,11066856,11066857,15937343,11069696,11069697,15951164,11079654,11079652,15946202,11065693,7337178,4634674,2791863,1619570,1619568,1619662,921167,519388,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634020,7336073,11062506,7335052,7335051,11062503,15941996,15943464,11067096,11067095,255411702,11075253,7343777,7342300,7342297,11073155,15955579,11079345,7346589,7346590,11079348,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6245039, s2 = 11379027, dlinesl.size( ) = 8 s1 = 11629479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11629495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629495, s2 = 6341201, int(edited[s2]) = 0 s1 = 11629495, s2 = 6341201, d1 = 23, d2 = 38 Dl.O(d1) = 267475391 Dl.O(d2) = 247291911,247259575,267634896,246843762,246843763,267591456,246781567,246716673,246648329,246575656,246498586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629495, s2 = 6341201, dlinesl.size( ) = 14 s1 = 11629617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629617, s2 = 11637454, int(edited[s2]) = 0 s1 = 11629617, s2 = 11637454, d1 = 9, d2 = 6 Dl.O(d1) = 275009159,245588149 Dl.O(d2) = 246254413,246344498,275048225,246534912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629617, s2 = 11637454, dlinesl.size( ) = 6 s1 = 11629689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629689, s2 = 11637014, int(edited[s2]) = 0 s1 = 11629689, s2 = 11637014, d1 = 0, d2 = 17 Dl.O(d1) = 245314951 Dl.O(d2) = 246166436,246262293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629689, s2 = 11637014, dlinesl.size( ) = 24 s1 = 11629781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629781, s2 = 11635080, int(edited[s2]) = 0 s1 = 11629781, s2 = 11635080, d1 = 0, d2 = 13 Dl.O(d1) = 245329365,245475220,267465701 Dl.O(d2) = 246076569,246076565,245971150,267479763 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629781, s2 = 11635080, dlinesl.size( ) = 14 s1 = 11630415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630415, s2 = 5790301, int(edited[s2]) = 0 s1 = 11630415, s2 = 5790301, d1 = 15, d2 = 31 Dl.O(d1) = 245285410 Dl.O(d2) = 236286849,235379661,234384509,266079434,236286847,266299812,234384509,274392366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630415, s2 = 5790301, dlinesl.size( ) = 14 s1 = 8995631, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11630679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630679, s2 = 11633864, int(edited[s2]) = 0 s1 = 11630679, s2 = 11633864, d1 = 0, d2 = 7 Dl.O(d1) = 245476128 Dl.O(d2) = 245859674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630679, s2 = 11633864, dlinesl.size( ) = 14 s1 = 11630697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630697, s2 = 10542725, int(edited[s2]) = 0 s1 = 11630697, s2 = 10542725, d1 = 207, d2 = 98 Dl.O(d1) = 245331206,245176477 Dl.O(d2) = 244440132,244224864 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630807, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11630829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630829, s2 = 11635494, int(edited[s2]) = 0 s1 = 11630829, s2 = 11635494, d1 = 0, d2 = 7 Dl.O(d1) = 245498131 Dl.O(d2) = 245759679,267495015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630829, s2 = 11635494, dlinesl.size( ) = 2 s1 = 11630829, s2 = 11635494, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11630829, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11631155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11631155, s2 = 11346542, int(edited[s2]) = 0 s1 = 11631155, s2 = 11346542, d1 = 20, d2 = 0 Dl.O(d1) = 274973130,274539400 Dl.O(d2) = 196829837,263371956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11631155, s2 = 11346542, dlinesl.size( ) = 26 s1 = 13948297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11631411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11631411, s2 = 10514746, int(edited[s2]) = 0 s1 = 11631411, s2 = 10514746, d1 = 8, d2 = 1 Dl.O(d1) = 267415640,245050395,244876470,244692123 Dl.O(d2) = 244055129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11631411, s2 = 10514746, dlinesl.size( ) = 2 s1 = 11631411, s2 = 10514746, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11631411, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11631587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11631587, s2 = 11638110, int(edited[s2]) = 0 s1 = 11631587, s2 = 11638110, d1 = 11, d2 = 5 Dl.O(d1) = 275027603 Dl.O(d2) = 246678850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11631587, s2 = 11638110, dlinesl.size( ) = 8 s1 = 16263071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11631807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11631807, s2 = 11636582, int(edited[s2]) = 0 s1 = 11631807, s2 = 11636582, d1 = 11, d2 = 10 Dl.O(d1) = 267470755,267497525,246112657 Dl.O(d2) = 275045136,246008250,245897838,267497265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11631807, s2 = 11636582, dlinesl.size( ) = 18 s1 = 11631919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11631937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11631937, s2 = 15047250, int(edited[s2]) = 0 s1 = 11631937, s2 = 15047250, d1 = 6, d2 = 5 Dl.O(d1) = 267449354 Dl.O(d2) = 246129874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11631937, s2 = 15047250, dlinesl.size( ) = 8 s1 = 11632119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632119, s2 = 11637094, int(edited[s2]) = 0 s1 = 11632119, s2 = 11637094, d1 = 26, d2 = 25 Dl.O(d1) = 245144139,245300636,245447287,267447843,245447288,275022429,245715110 Dl.O(d2) = 275033635,246055825,246055827,246055826,246156446,246252826,246252825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632119, s2 = 11637094, dlinesl.size( ) = 2 s1 = 11632119, s2 = 11637094, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11632119, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 11632155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632155, s2 = 11611954, int(edited[s2]) = 0 s1 = 11632155, s2 = 11611954, d1 = 8, d2 = 10 Dl.O(d1) = 267368766 Dl.O(d2) = 274915610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632155, s2 = 11611954, dlinesl.size( ) = 14 s1 = 11632237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632237, s2 = 11615200, int(edited[s2]) = 0 s1 = 11632237, s2 = 11615200, d1 = 12, d2 = 9 Dl.O(d1) = 267362452 Dl.O(d2) = 267270348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632237, s2 = 11615200, dlinesl.size( ) = 16 s1 = 11632327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632327, s2 = 11531336, int(edited[s2]) = 0 s1 = 11632327, s2 = 11531336, d1 = 28, d2 = 7 Dl.O(d1) = 275005302,274933882,274861924 Dl.O(d2) = 232286229,230968024,265704668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632327, s2 = 11531336, dlinesl.size( ) = 56 s1 = 11632677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632677, s2 = 11637946, int(edited[s2]) = 0 s1 = 11632677, s2 = 11637946, d1 = 20, d2 = 3 Dl.O(d1) = 267487261,246029271,246131112,267533317,267543044 Dl.O(d2) = 246228354,267552221,246564660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632677, s2 = 11637946, dlinesl.size( ) = 22 s1 = 11632735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632735, s2 = 11540260, int(edited[s2]) = 0 s1 = 11632735, s2 = 11540260, d1 = 37, d2 = 30 Dl.O(d1) = 245811730,245927138,246035769,246137468,246137467,246234680,246326007,275042433,246570060,246492864,246492865,267512098,246492870,246411905,246411904,246492869,246570061,246492864,246492865,267512098,246492870,246411905 Dl.O(d2) = 241936215,241531012,241093145,240621428,240621427,266734218,238969254,238322684,237612246,236831275,235972221,235028842,233992150,232854252,231597475,230196894,228620040,226826553,224769687,222399786,219638559,216369517,212427218,207606674,201761103,194816809,186702836,177386323,261718030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632735, s2 = 11540260, dlinesl.size( ) = 14 s1 = 11632859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632859, s2 = 11638084, int(edited[s2]) = 0 s1 = 11632859, s2 = 11638084, d1 = 23, d2 = 20 Dl.O(d1) = 267502641 Dl.O(d2) = 246656130,246656133,246723707,246723706,267578284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632859, s2 = 11638084, dlinesl.size( ) = 32 s1 = 11632999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632999, s2 = 11635780, int(edited[s2]) = 0 s1 = 11632999, s2 = 11635780, d1 = 0, d2 = 8 Dl.O(d1) = 245853044 Dl.O(d2) = 246171259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632999, s2 = 11635780, dlinesl.size( ) = 14 s1 = 11633173, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11633231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633231, s2 = 11637362, int(edited[s2]) = 0 s1 = 11633231, s2 = 11637362, d1 = 13, d2 = 16 Dl.O(d1) = 267496365 Dl.O(d2) = 267540417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633231, s2 = 11637362, dlinesl.size( ) = 22 s1 = 13949375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13948826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6310251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6310251, s2 = 6301267, int(edited[s2]) = 0 s1 = 6310251, s2 = 6301267, d1 = 5, d2 = 6 Dl.O(d1) = 245986339,267465312 Dl.O(d2) = 246038141,245929815,245814822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6310251, s2 = 6301267, dlinesl.size( ) = 2 s1 = 6310251, s2 = 6301267, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 6310251, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11633863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11634125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11634403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11634427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156535, s2 = 7787893, int(edited[s2]) = 0 s1 = 14156535, s2 = 7787893, d1 = 8, d2 = 6 Dl.O(d1) = 246622662,246547964,246469239,246386276,267549614,246106331,246205027,267540597,246298483,246386275,267530609,246205022,246106395,246002901,245892206,245774515,245649184,245514330,245370869,245370868,267455053,245774506,245892201,246002900,267520107,267530625,267530627,246204938,246204940,246298287,246298386,246205328,246106572,246003040,245892297,245774581,245649223,245514352,245370877,245370874,245514342,245649208,245774558,245892267,246003001,246106517,246205268,246298565,246298504,246205185,246205184,246298278,246204935,246106258,246106259,246204940,246298287,246298386,246205328,246106572,246003040,245892297,245774581,245649223,245514352,245370877,245370874,245514342,245649208,245774558,245892267,246003001,246106517,246205268,246298565,246298504,246205185,246205184,246298278,246204935,246106258,246106259,246204940,246298287,246298386,246205328,246106572,246003040,245892297,245774581,245649223,245514352,245370877,245370874,245514342,245649208,245774558,245892267,246003001,246106517,246205268,246298565,246298504,246205185,246106459,246002951,245892233,245892232,246002946,245892228,245892227,246002943,246106448,246205170,246298489,246298702,246386501,246386478,246386264,246298354,246205006,267508639,245892150,245774473,245649165,245514318,245370861,245218575,245056035,244882623,244882622,245056032,245218573,267439503,245649156,245774465,245892142,267508637,246204965,246205057,267508643,245892175,245892176,246002863,246106356,246205061,246298402,246386291,267574426,246205087,246106376,246002883,245892185,245774496,245774494,245892182,246002879,267520105,246002880,246002879,267520105,246002880,246002879,246106371,246106410,246002913,245892211,245774521,245649187,245514332,275006469,245056038,244882625,244698612 Dl.O(d2) = 274935390,241510107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14156535, s2 = 7787893, dlinesl.size( ) = 2 s1 = 14156535, s2 = 7787893, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14156535, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 11630567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630567, s2 = 11634592, int(edited[s2]) = 0 s1 = 11630567, s2 = 11634592, d1 = 7, d2 = 4 Dl.O(d1) = 267405786 Dl.O(d2) = 245727197,267515469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630567, s2 = 11634592, dlinesl.size( ) = 6 s1 = 11634597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11634597, s2 = 11642060, int(edited[s2]) = 0 s1 = 11634597, s2 = 11642060, d1 = 1, d2 = 5 Dl.O(d1) = 246107023 Dl.O(d2) = 247092050,247134701,267637115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11634597, s2 = 11642060, dlinesl.size( ) = 12 s1 = 11634775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11634775, s2 = 11551382, int(edited[s2]) = 0 s1 = 11634775, s2 = 11551382, d1 = 104, d2 = 0 Dl.O(d1) = 246027738,246027736,246027737,245919146,245919145,245919146,245803350,245803351,245919140,267476112,245548277,245407519,245407518 Dl.O(d2) = 230480069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11634775, s2 = 11551382, dlinesl.size( ) = 76 s1 = 11634971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13950196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13950196, s2 = 10296389, int(edited[s2]) = 0 s1 = 13950196, s2 = 10296389, d1 = 41, d2 = 43 Dl.O(d1) = 267555465,246518485,246438721,246354160,267515792,246069042,246069040,246168926,246069030,246069029,246168924,246168926,246069030,245963061,245963062,246069032,275034036 Dl.O(d2) = 267526791,246264491,246168937,246168935,246264488,246354157,246438715,246518482,246518480,275040416,246354157,246438716,246518479,246438719,246354159,246264493,246168939,246168938,246168928,246168927,246264482,275045951 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635079, s2 = 11629782, int(edited[s2]) = 0 s1 = 11635079, s2 = 11629782, d1 = 10, d2 = 9 Dl.O(d1) = 267479762,246360548,246444828,246444832 Dl.O(d2) = 267465700,245971149,245858972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635079, s2 = 11629782, dlinesl.size( ) = 16 s1 = 14216366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11635429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635429, s2 = 11638222, int(edited[s2]) = 0 s1 = 11635429, s2 = 11638222, d1 = 11, d2 = 2 Dl.O(d1) = 267551813 Dl.O(d2) = 246560991,246634739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635429, s2 = 11638222, dlinesl.size( ) = 6 s1 = 11635441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635441, s2 = 14151700, int(edited[s2]) = 0 s1 = 11635441, s2 = 14151700, d1 = 35, d2 = 0 Dl.O(d1) = 267499534,245679192,274997706 Dl.O(d2) = 238445482,237745726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635441, s2 = 14151700, dlinesl.size( ) = 30 s1 = 11635493, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9003651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11635545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635545, s2 = 11637712, int(edited[s2]) = 0 s1 = 11635545, s2 = 11637712, d1 = 1, d2 = 9 Dl.O(d1) = 246240365 Dl.O(d2) = 246417343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635545, s2 = 11637712, dlinesl.size( ) = 24 s1 = 11635779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635779, s2 = 11633000, int(edited[s2]) = 0 s1 = 11635779, s2 = 11633000, d1 = 10, d2 = 1 Dl.O(d1) = 246183582 Dl.O(d2) = 245866553 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635779, s2 = 11633000, dlinesl.size( ) = 14 s1 = 11635889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635889, s2 = 11652942, int(edited[s2]) = 0 s1 = 11635889, s2 = 11652942, d1 = 34, d2 = 8 Dl.O(d1) = 275039940,267358310,241937721,241532676,267145234,236836034,235977438,266349175,231604313 Dl.O(d2) = 238971522,239565543,267011641,267280205,274984043,244300246,274973592,241937719,267011637,266864263,266679177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635889, s2 = 11652942, dlinesl.size( ) = 8 s1 = 11636085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11636501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636501, s2 = 14155006, int(edited[s2]) = 0 s1 = 11636501, s2 = 14155006, d1 = 14, d2 = 18 Dl.O(d1) = 267522314 Dl.O(d2) = 245541096,245399679,245249842,245090104,244919218,244737156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636501, s2 = 14155006, dlinesl.size( ) = 16 s1 = 11636551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11636581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636581, s2 = 11631808, int(edited[s2]) = 0 s1 = 11636581, s2 = 11631808, d1 = 7, d2 = 0 Dl.O(d1) = 267497264,246138802,246236050,275045137 Dl.O(d2) = 246025459,267497524,267470754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636581, s2 = 11631808, dlinesl.size( ) = 18 s1 = 11635651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11635651, s2 = 11643546, int(edited[s2]) = 0 s1 = 11635651, s2 = 11643546, d1 = 0, d2 = 56 Dl.O(d1) = 246260796 Dl.O(d2) = 267669741 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11635651, s2 = 11643546, dlinesl.size( ) = 28 s1 = 11636735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11636797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636797, s2 = 11634428, int(edited[s2]) = 0 s1 = 11636797, s2 = 11634428, d1 = 3, d2 = 22 Dl.O(d1) = 246362245,246362246,267547450,246601056,275055573,246801399 Dl.O(d2) = 246362244,246273170,246178071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636797, s2 = 11634428, dlinesl.size( ) = 32 s1 = 11636841, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10570490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637245, s2 = 11618546, int(edited[s2]) = 0 s1 = 11637245, s2 = 11618546, d1 = 52, d2 = 0 Dl.O(d1) = 267564146 Dl.O(d2) = 242553219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637245, s2 = 11618546, dlinesl.size( ) = 70 s1 = 11637293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637361, s2 = 11633232, int(edited[s2]) = 0 s1 = 11637361, s2 = 11633232, d1 = 15, d2 = 12 Dl.O(d1) = 267540416 Dl.O(d2) = 267496364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637361, s2 = 11633232, dlinesl.size( ) = 22 s1 = 11637415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637415, s2 = 11639484, int(edited[s2]) = 0 s1 = 11637415, s2 = 11639484, d1 = 39, d2 = 5 Dl.O(d1) = 246476127,246476118,246476119,267567647 Dl.O(d2) = 246826092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637415, s2 = 11639484, dlinesl.size( ) = 38 s1 = 11637693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637711, s2 = 11635546, int(edited[s2]) = 0 s1 = 11637711, s2 = 11635546, d1 = 10, d2 = 4 Dl.O(d1) = 246521947 Dl.O(d2) = 246357910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637711, s2 = 11635546, dlinesl.size( ) = 2 s1 = 11637711, s2 = 11635546, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11637711, Dl.E( ) = 22, 8.11e-06 seconds used appending s1 = 11637967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637967, s2 = 11653646, int(edited[s2]) = 0 s1 = 11637967, s2 = 11653646, d1 = 12, d2 = 11 Dl.O(d1) = 267545456 Dl.O(d2) = 267523284,267487574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637967, s2 = 11653646, dlinesl.size( ) = 8 s1 = 11638083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638083, s2 = 11632860, int(edited[s2]) = 0 s1 = 11638083, s2 = 11632860, d1 = 28, d2 = 20 Dl.O(d1) = 267578285,246723709,246723710,246656138,246656135 Dl.O(d2) = 267502640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638083, s2 = 11632860, dlinesl.size( ) = 26 s1 = 11638097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638097, s2 = 11612722, int(edited[s2]) = 0 s1 = 11638097, s2 = 11612722, d1 = 54, d2 = 50 Dl.O(d1) = 275056736,267580100 Dl.O(d2) = 243209487,267175900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638097, s2 = 11612722, dlinesl.size( ) = 46 s1 = 6349546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11638217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638217, s2 = 11638558, int(edited[s2]) = 0 s1 = 11638217, s2 = 11638558, d1 = 8, d2 = 10 Dl.O(d1) = 267586949,267612097 Dl.O(d2) = 267622533,247076158,275061050,267592998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638217, s2 = 11638558, dlinesl.size( ) = 16 s1 = 11638455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12021626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12021652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14216514, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11639377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639377, s2 = 11636896, int(edited[s2]) = 0 s1 = 11639377, s2 = 11636896, d1 = 13, d2 = 3 Dl.O(d1) = 246806466 Dl.O(d2) = 246607106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639377, s2 = 11636896, dlinesl.size( ) = 14 s1 = 15084143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15084143, s2 = 6337037, int(edited[s2]) = 0 s1 = 15084143, s2 = 6337037, d1 = 18, d2 = 7 Dl.O(d1) = 266959411 Dl.O(d2) = 246493740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15084143, s2 = 6337037, dlinesl.size( ) = 18 s1 = 11639483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639541, s2 = 14155958, int(edited[s2]) = 0 s1 = 11639541, s2 = 14155958, d1 = 17, d2 = 2 Dl.O(d1) = 267588858 Dl.O(d2) = 246105904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639541, s2 = 14155958, dlinesl.size( ) = 8 s1 = 11639613, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11639733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156780, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11639959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639959, s2 = 8889574, int(edited[s2]) = 0 s1 = 11639959, s2 = 8889574, d1 = 56, d2 = 0 Dl.O(d1) = 267605010 Dl.O(d2) = 223584101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639959, s2 = 8889574, dlinesl.size( ) = 20 s1 = 11640005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640005, s2 = 11627136, int(edited[s2]) = 0 s1 = 11640005, s2 = 11627136, d1 = 2, d2 = 1 Dl.O(d1) = 267607924,267582034,244996375 Dl.O(d2) = 267340469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640005, s2 = 11627136, dlinesl.size( ) = 2 s1 = 11640005, s2 = 11627136, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11640005, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 6376150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6376150, s2 = 6245778, int(edited[s2]) = 0 s1 = 6376150, s2 = 6245778, d1 = 32, d2 = 0 Dl.O(d1) = 247246579,247212263,247176217,247137695,247095206,247048089,246996786,246942107,246884597 Dl.O(d2) = 244713619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6376150, s2 = 6245778, dlinesl.size( ) = 2 s1 = 6376150, s2 = 6245778, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 6376150, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 14216554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11640471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640471, s2 = 11643620, int(edited[s2]) = 0 s1 = 11640471, s2 = 11643620, d1 = 13, d2 = 19 Dl.O(d1) = 267633931 Dl.O(d2) = 275079699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640471, s2 = 11643620, dlinesl.size( ) = 8 s1 = 11640531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640531, s2 = 11642162, int(edited[s2]) = 0 s1 = 11640531, s2 = 11642162, d1 = 0, d2 = 8 Dl.O(d1) = 247068001 Dl.O(d2) = 247260916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640531, s2 = 11642162, dlinesl.size( ) = 14 s1 = 11640599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640599, s2 = 16361014, int(edited[s2]) = 0 s1 = 11640599, s2 = 16361014, d1 = 16, d2 = 7 Dl.O(d1) = 247079903 Dl.O(d2) = 246282413,246282412,267534096,246187948,246282406,246370947,246282415,246187954,246088758,245984126,245872628,245753871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640599, s2 = 16361014, dlinesl.size( ) = 2 s1 = 11640599, s2 = 16361014, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11640599, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 12022248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11640849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640849, s2 = 11642832, int(edited[s2]) = 0 s1 = 11640849, s2 = 11642832, d1 = 7, d2 = 9 Dl.O(d1) = 267627265 Dl.O(d2) = 267649859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640849, s2 = 11642832, dlinesl.size( ) = 14 s1 = 11640939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640939, s2 = 14215070, int(edited[s2]) = 0 s1 = 11640939, s2 = 14215070, d1 = 50, d2 = 75 Dl.O(d1) = 267632957 Dl.O(d2) = 267532356,267510548,245813449,245691146,245559901,267460311,245813451,267500669,246139042,267534067,246236248,246139033,246037264,245928785,267486056,245559900,245420096,267426120,244944769,244765261,244573064,267330338,243368744,243368743,243645444,243368746,243072952,274905868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640939, s2 = 14215070, dlinesl.size( ) = 50 s1 = 11641097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11641565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11642059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11642059, s2 = 11634598, int(edited[s2]) = 0 s1 = 11642059, s2 = 11634598, d1 = 6, d2 = 0 Dl.O(d1) = 267637114,247134699,247092049 Dl.O(d2) = 246107022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11642059, s2 = 11634598, dlinesl.size( ) = 12 s1 = 16333956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11642161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11642161, s2 = 11640532, int(edited[s2]) = 0 s1 = 11642161, s2 = 11640532, d1 = 9, d2 = 1 Dl.O(d1) = 247293039 Dl.O(d2) = 247226720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11642161, s2 = 11640532, dlinesl.size( ) = 14 s1 = 11642265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11642265, s2 = 10392342, int(edited[s2]) = 0 s1 = 11642265, s2 = 10392342, d1 = 3, d2 = 6 Dl.O(d1) = 247306928 Dl.O(d2) = 267595151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11642265, s2 = 10392342, dlinesl.size( ) = 14 s1 = 11641571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11642831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11642831, s2 = 11640850, int(edited[s2]) = 0 s1 = 11642831, s2 = 11640850, d1 = 8, d2 = 6 Dl.O(d1) = 267649858 Dl.O(d2) = 267627264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11642831, s2 = 11640850, dlinesl.size( ) = 14 s1 = 11643125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643125, s2 = 10367293, int(edited[s2]) = 0 s1 = 11643125, s2 = 10367293, d1 = 14, d2 = 0 Dl.O(d1) = 267668115 Dl.O(d2) = 246618957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643125, s2 = 10367293, dlinesl.size( ) = 30 s1 = 11643145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643145, s2 = 10441348, int(edited[s2]) = 0 s1 = 11643145, s2 = 10441348, d1 = 8, d2 = 3 Dl.O(d1) = 247448104,267654852,247400370,247375832,247350279,247350280 Dl.O(d2) = 247470219,247448103,247424553,247400368,247400369,247424554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643145, s2 = 10441348, dlinesl.size( ) = 14 s1 = 11643263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643511, s2 = 11644408, int(edited[s2]) = 0 s1 = 11643511, s2 = 11644408, d1 = 9, d2 = 13 Dl.O(d1) = 267674719 Dl.O(d2) = 267684723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643511, s2 = 11644408, dlinesl.size( ) = 8 s1 = 11643619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643619, s2 = 11640472, int(edited[s2]) = 0 s1 = 11643619, s2 = 11640472, d1 = 18, d2 = 12 Dl.O(d1) = 275079698 Dl.O(d2) = 267633930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643619, s2 = 11640472, dlinesl.size( ) = 8 s1 = 11643705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643705, s2 = 11644468, int(edited[s2]) = 0 s1 = 11643705, s2 = 11644468, d1 = 13, d2 = 17 Dl.O(d1) = 267678209 Dl.O(d2) = 247734413,247734418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643705, s2 = 11644468, dlinesl.size( ) = 12 s1 = 14836824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643887, s2 = 11645064, int(edited[s2]) = 0 s1 = 11643887, s2 = 11645064, d1 = 9, d2 = 17 Dl.O(d1) = 247613167,247634256,247655654 Dl.O(d2) = 267691877,247772376,247780592,247788193,267698833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643887, s2 = 11645064, dlinesl.size( ) = 20 s1 = 14225017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14225017, s2 = 9016561, int(edited[s2]) = 0 s1 = 14225017, s2 = 9016561, d1 = 45, d2 = 42 Dl.O(d1) = 247560177,247579488,267674073,247522274,247522275,247541335,267677827,267685777 Dl.O(d2) = 275086474,247620220,267677825,247579488,267674073,247522274,247522273,267676047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14225017, s2 = 9016561, dlinesl.size( ) = 36 s1 = 11644175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644175, s2 = 11644834, int(edited[s2]) = 0 s1 = 11644175, s2 = 11644834, d1 = 12, d2 = 13 Dl.O(d1) = 267686823 Dl.O(d2) = 267694819,247794692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644175, s2 = 11644834, dlinesl.size( ) = 14 s1 = 11644221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644407, s2 = 11643512, int(edited[s2]) = 0 s1 = 11644407, s2 = 11643512, d1 = 12, d2 = 8 Dl.O(d1) = 267684722 Dl.O(d2) = 267674718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644407, s2 = 11643512, dlinesl.size( ) = 8 s1 = 11644685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15856393, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11644833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644833, s2 = 11644176, int(edited[s2]) = 0 s1 = 11644833, s2 = 11644176, d1 = 13, d2 = 10 Dl.O(d1) = 247794694,267694818 Dl.O(d2) = 267686822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644833, s2 = 11644176, dlinesl.size( ) = 14 s1 = 11644901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11645063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645063, s2 = 11643888, int(edited[s2]) = 0 s1 = 11645063, s2 = 11643888, d1 = 2, d2 = 1 Dl.O(d1) = 267698832,247788191,247780591 Dl.O(d2) = 247675241,247654084,247632674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645063, s2 = 11643888, dlinesl.size( ) = 2 s1 = 11645063, s2 = 11643888, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11645063, Dl.E( ) = 6, 2.86e-06 seconds used appending s1 = 11645397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645397, s2 = 11645440, int(edited[s2]) = 0 s1 = 11645397, s2 = 11645440, d1 = 0, d2 = 12 Dl.O(d1) = 247890701 Dl.O(d2) = 267708132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645397, s2 = 11645440, dlinesl.size( ) = 14 s1 = 11645439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645439, s2 = 11645398, int(edited[s2]) = 0 s1 = 11645439, s2 = 11645398, d1 = 13, d2 = 11 Dl.O(d1) = 267708133 Dl.O(d2) = 247908169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645439, s2 = 11645398, dlinesl.size( ) = 14 s1 = 13959204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7550699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7550699, s2 = 6412837, int(edited[s2]) = 0 s1 = 7550699, s2 = 6412837, d1 = 31, d2 = 12 Dl.O(d1) = 267711275 Dl.O(d2) = 247945624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7550699, s2 = 6412837, dlinesl.size( ) = 20 s1 = 10643222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646277, s2 = 10981868, int(edited[s2]) = 0 s1 = 11646277, s2 = 10981868, d1 = 10, d2 = 8 Dl.O(d1) = 254237146 Dl.O(d2) = 14181514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646277, s2 = 10981868, dlinesl.size( ) = 26 s1 = 11646427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646431, s2 = 11657628, int(edited[s2]) = 0 s1 = 11646431, s2 = 11657628, d1 = 26, d2 = 23 Dl.O(d1) = 255469243,29744595,38313282,48223158 Dl.O(d2) = 85938224,85938223,99893382,273123360,62022213,50530043,40494276,40494277,257110593,8646769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646431, s2 = 11657628, dlinesl.size( ) = 28 s1 = 11646451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12024206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13960560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13961038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646695, s2 = 14242690, int(edited[s2]) = 0 s1 = 11646695, s2 = 14242690, d1 = 1, d2 = 1 Dl.O(d1) = 255079293,7404336,4677635,2817992,2817993,4677640,7404350,11162870,16075069,16074856,11162499,7404162,7404163,11162504,16074869,11162810,11162812,16075384,16075083,16075084,16075032,11162890,11162889,16075503,22205523,29335877,29335876,29548025,29548251,22204684,16074794,16074795,22204690,16075407,16075405,15903933,11162426,7404135,4677530,4677531,7404138,11162432,16074730,22004638,22004637,22205320,16075566,11162959,7404399,4677666,2818006,1634849,929689,524036,524034,929682,1634834,2817971,4677587,7404238,11162648,15325945,15325946,11162367,7404102,7404100,11162363,15106165,10419014,10419013,15106161,16074915,16074950,16074952,16074595,16074597,11850344,11162468,7404152,7404153,11162475,16074810,11162969,11162968,15903939,15903938,21213988,16074789,16074788,22204673,16075337,15903926,11025503,7299744,4677652,2817997,2817996,4677614,2817983,2817982,4677612,7404307,10517924,10517925,10517887,6936261,4358628,4358627,6936258,7404393,7404392,11162946,11162383,7404113,4677517,4677518,4677551,4677550,7404179,11162532,16074919,22204833,22204951,16075021,11162604,11162606,16074792,16074791,15246152,15246151,21213909,21214306,15246443,10518031,255022287,21214302,28439134,29335856,22004630,15903918,11162555,11162554,11162901,7404363,7404362,11025512,11025513,10517942,6936290,4358642,2611488,1507681,854875,854874,1507678,2611483,4358632,6936270,10517902,15246227,15246413,15246412,21214261,28438750,21214314,21214315,16075427,16075425,11850341,11850342,16931844,23201336,28438769,21214092,15246296,15246294,21214087,22204804,16074901,11162526,11162525,16074900,22204801,28439328,21213972,21213973,22004610,15903896,15903895,21213544,22004616,29335842,28439674,21214309,21214287,15246431,15246433,21213851,15246112,15246111,15246072,15246073,21213697,28439046,28439361,21214010,21214009,21213498,15245886,10517712,10517713,15245881,21213490,15246048,15246047,21213767,28439121,28439424,21214065,15246280,10517937,10517938,15246285,21214074,28439437,36938923,46817036,269770610,36938627,36938628,36938271,36938270,36938861,36938860,37904651,36938376,36938377,46816636,46816885,46816836,36938609,28439038,21213685,21213686,15245995,15245996,21213663,21213877,21213878,15881578,15881577,21976227,29303701,36938262,36938897,28439393,28439394,36938902,46817023,37872947,37872946,46817029,58183574,58259459,70896833,58183309,58183311,58021300,58021301,58021209,46816979,36938824,36938823,36938540,28438959,28438960,28438901,21213590,21213588,28438894,36938442,36938316,36938317,36938534,36938535,36938368,28438828,21213537,21213536,28438783,21213520,21213521,28438790,36938306,38201555,29634660,29634657,268943217,38201572,48112721,49732570,39713926,31036680,31036681,39713930,36938492,36938491,46816736,58183439,70896820,257854186,58183561,50831730,40727634,40727635,50831735,58021207,70735891,66973425,58259778,58259776,70783092,58065682,46892454,43970447,34695166,26700554,19879737,14243723,9791578,9791580,14243729,19879748,26700570,34695193,43970496,54714309,58259845,58259846,58259817,58259818,46892933,37013624,28514325,28514322,37013620,46648241,46648239,48112716,59500808,58021198,46816459,36938158,36938159,46816464,58183277,48112702,48112701,59500797,58259935,46893028,37013710,28514373,21293362,21293363,28514377,37013717,37013485,28514246,28514245,37013481,46892731,54714260,54714237,43970419,34695149,34695150,43970422,46893004,37013687,37013689,37013670,37013669,46892712,37013468,28514250,28514248,28514276,37013519,46892788,46876608,46876607,58243589,65776632,65776633,65776740,53719750,46816377,36938088,36938089,46816381,58183205,66973402,54714270,43970453,43970452,46897473,37018963,28520927,28520928,37018968,46897481,58264294,58260020,58259764,46892726,37013475,37013473,46892719,58259760,70975667,58260017,54714315,54714316,58260001,46893011,37013695,28514363,21293357,21293358,28514358,37013684,46892999,257700964,37013650,37013649,46892954,37013746,37013745,46893069,258040615,46892817,46892816,58116823,46748125,36868809,36868810,28438635,28438636,29713698,38280344,48189773,41898231,32960128,25238934,18669380,13277510,13277509,18669376,25238929,32960122,41898220,48189766,38280341,36868919,28372206,256301291,46748261,58116977,52680486,52680485,46748200,36868862,28372178,28372179,36868864,46748081,58116782,46748161,36868832,36868831,46748158,58116863,70831616,70831498,58116672,46748275,36868916,36868915,46748270,58116983,58259889,70975710,70975715,64079976,52234090,52234089,64079974,70975707,58259885,58259884,58259918,46892896,37013593,37013594,46892900,46892880,46892878,58259896,64245855,58116881,46876395,46876396,48810167,48810165,48810164,50053051,50053050,58259907,48810111,48810113,60207212,68083493,55685090,55685091,55685130,55685129,58243520,55685078,44776816,35352151,27229077,20300003,20300005,27229081,35352156,44776822,44776795,44776793,40157355,37013353,37013356,46892590,58259618,70960058,70959511,58242904,46875728,46875727,58242901,58241582,46876686,36998277,28500890,26315234,26315236,34187162,31104537,31104539,39783439,49802637,40200805,31514415,28503723,28503722,37001280,43284068,34187167,34187165,43284066,53809026,58243542,46876490,46876489,55685041,55685040,49432850,39501696,30894391,30894394,39501704,49432861,49414319,49414296,39484501,39484502,39484535,49414334,46892570,46892571,58259594,67697565,67697566,58242925,46875742,46875734,46875735,58242910,58241587,57872371,46516449,42156818,42156816,43284054,36649301,28173734,28173732,36649294,46516463,37001288,28503730,21285242,21285244,28503734,37001293,46879844,58246984,60472063,58426721,47051975,37161328,37161327,46876902,46876903,58243771,60834728,70960089,58243719,58243718,57872354,46516436,36649277,28173725,28173724,36649274,35134056,268610314,55357653,67697583,58243668,46876778,36998417,28501081,28501082,28501083,21283008,21283009,28501085,36998420,46876784,58243672,70960059,256311932,81163367,67697561,55357633,44510972,35134041,35134040,44510970,46876909,36998566,36998565,46876905,46874908,255822928,46879862,37001304,28503740,28503741,37001306,46874887,46364216,46364217,36995438,36995439,44776905,46874171,36995446,36995448,46874175,58241615,58242189,62072351,50580291,50580290,46876897,36998563,36998562,46876834,36998482,36998483,46876840,47051984,37161338,28645150,21403652,15416490,10656760,7037239,7037240,10656764,15416495,21403629,28498856,21281169,21281168,28498853,36996311,46874905,37161330,37161331,46874954,36996327,36996314,28498875,28498874,36996335,36996270,28498833,21281161,21281162,28498840,36996278,46874151,46877655,46876874,46876875,58242204,48610774,38695199,30118717,28501184,28501183,36998546,46876883,46980834,256184524,28590579,36998495,28520471,28520472,28501110,21283022,15319725,10581159,10581160,15319730,21283029,21283673,28501842,36999259,36999280,37161332,46897051,256312030,269173439,34619158,256312050,58243756,49107944,39177988,39177989,49107946,58242159,46874894,36998449,28501104,28501103,28501883,267962230,28501839,21283707,21283710,28501889,36995077,36995075,36999230,28501821,28501819,21299275,21299274,21299053,21299054,28498882,21299469,15331581,15331580,21299465,28499717,36995012,30791486,23365632,23365630,30791481,28521000,21299924,15331948,15331949,21281286,21281277,21281275,21283058,28501146,28501346,36998705,28520434,21299364,15331522,15331525,21299373,21281210,15331763,15331762,21299722,21283734,21283733,21299793,28501857,21283720,15320239,15320238,21283715,21299732,21299731,28520227,37018363,36996409,28498960,21299063,15331305,15331304,15331958,15318442,10580213,10580210,15318434,21281263,28498544,21280886,21280888,28498548,28502281,28499002,21281293,15318458,10580222,6979502,6979501,10580218,15318451,21281281,28498995,36995904,28521013,28498988,28498986,28520420,36996417,28498965,28498966,36996361,46874982,46873844,36995057,28497593,28497594,21283559,15320112,15320111,21283558,21280893,21280892,21280898,15318185,10580027,10580028,15318188,21280903,15318462,15318461,15318446,15318445,15318492,10580242,10580244,10585952,15326716,21284082,21280272,15317723,15317724,21280276,21281884,21281883,21281126,21281127,15326982,15326983,15318405,10580192,6979490,6979491,10580198,10589196,15320172,10581502,6980510,6980511,10581506,10579653,6979079,6979078,6985311,6985212,4389233,4389232,4389259,2629804,2629803,4389295,6985323,10589219,15326702,15318844,267763858,6979400,4385138,4385137,6979398,10580070,10589124,10589125,15331850,21299825,28498791,21281123,15318347,10580150,6979477,6979478,10580156,15318353,10589223,10589221,267763838,10579714,10579715,15317505,10579579,6979040,6979039,10579577,15317504,21279999,21280245,21280239,21280238,28497726,22935235,22935236,21293452,15327245,15327246,255028544,15331136,15327215,15327214,12193491,12193490,16204981,16204982,21689559,15786093,10936201,7236022,7236021,10936182,15786055,21858171,28229682,256860767,256320807,268977000,24670456,18207279,12913957,8784697,268012543,24670452,23596174,17283881,17283880,18207246,12913936,12913935,18207244,21994655,29323990,37891915,35164396,35164398,40956640,41134123,41134121,34583644,26596524,19790781,19790780,26596522,34583642,38075056,29510702,29510701,24591439,24591440,24591523,24591524,28921105,21645825,21645826,28921107,24278082,24278083,21645843,15613100,10802327,7137604,7137602,10802324,12866981,12866982,18145235,24590592,28856338,21583400,21583399,28856335,37397164,28856332,21583398,15559151,15559150,21583396,28856327,21583417,15559165,10762017,7110757,4477146,4477148,7110761,10762023,10762046,7110774,7110773,10762043,13980523,9602506,9602504,13980518,19527563,26244890,21669440,255418821,15632845,21669336,26901387,20019014,14338038,12839484,12839485,18107055,13632805,267934361,3825797,3801920,2277285,1325287,1325289,2284780,3814175,267813622,19024347,25641283,33407937,42397057,52796631,64710464,77899084,91820317,256965924 Dl.O(d2) = 255079293,7404336,4677635,2817992,2817993,4677640,7404350,11162870,16075069,16074856,11162499,7404162,7404163,11162504,16074869,11162810,11162812,16075384,16075083,16075084,16075032,11162890,11162889,16075503,22205523,29335877,29335876,29548025,29548251,22204684,16074794,16074795,22204690,16075407,16075405,15903933,11162426,7404135,4677530,4677531,7404138,11162432,16074730,22004638,22004637,22205320,16075566,11162959,7404399,4677666,2818006,1634849,929689,524036,524034,929682,1634834,2817971,4677587,7404238,11162648,15325945,15325946,11162367,7404102,7404100,11162363,15106165,10419014,10419013,15106161,16074915,16074950,16074952,16074595,16074597,11850344,11162468,7404152,7404153,11162475,16074810,11162969,11162968,15903939,15903938,21213988,16074789,16074788,22204673,16075337,15903926,11025503,7299744,4677652,2817997,2817996,4677614,2817983,2817982,4677612,7404307,10517924,10517925,10517887,6936261,4358628,4358627,6936258,7404393,7404392,11162946,11162383,7404113,4677517,4677518,4677551,4677550,7404179,11162532,16074919,22204833,22204951,16075021,11162604,11162606,16074792,16074791,15246152,15246151,21213909,21214306,15246443,10518031,255022287,21214302,28439134,29335856,22004630,15903918,11162555,11162554,11162901,7404363,7404362,11025512,11025513,10517942,6936290,4358642,2611488,1507681,854875,854874,1507678,2611483,4358632,6936270,10517902,15246227,15246413,15246412,21214261,28438750,21214314,21214315,16075427,16075425,11850341,11850342,16931844,23201336,28438769,21214092,15246296,15246294,21214087,22204804,16074901,11162526,11162525,16074900,22204801,28439328,21213972,21213973,22004610,15903896,15903895,21213544,22004616,29335842,28439674,21214309,21214287,15246431,15246433,21213851,15246112,15246111,15246072,15246073,21213697,28439046,28439361,21214010,21214009,21213498,15245886,10517712,10517713,15245881,21213490,15246048,15246047,21213767,28439121,28439424,21214065,15246280,10517937,10517938,15246285,21214074,28439437,36938923,46817036,269770610,36938627,36938628,36938271,36938270,36938861,36938860,37904651,36938376,36938377,46816636,46816885,46816836,36938609,28439038,21213685,21213686,15245995,15245996,21213663,21213877,21213878,15881578,15881577,21976227,29303701,36938262,36938897,28439393,28439394,36938902,46817023,37872947,37872946,46817029,58183574,58259459,70896833,58183309,58183311,58021300,58021301,58021209,46816979,36938824,36938823,36938540,28438959,28438960,28438901,21213590,21213588,28438894,36938442,36938316,36938317,36938534,36938535,36938368,28438828,21213537,21213536,28438783,21213520,21213521,28438790,36938306,38201555,29634660,29634657,268943217,38201572,48112721,49732570,39713926,31036680,31036681,39713930,36938492,36938491,46816736,58183439,70896820,257854186,58183561,50831730,40727634,40727635,50831735,58021207,70735891,66973425,58259778,58259776,70783092,58065682,46892454,43970447,34695166,26700554,19879737,14243723,9791578,9791580,14243729,19879748,26700570,34695193,43970496,54714309,58259845,58259846,58259817,58259818,46892933,37013624,28514325,28514322,37013620,46648241,46648239,48112716,59500808,58021198,46816459,36938158,36938159,46816464,58183277,48112702,48112701,59500797,58259935,46893028,37013710,28514373,21293362,21293363,28514377,37013717,37013485,28514246,28514245,37013481,46892731,54714260,54714237,43970419,34695149,34695150,43970422,46893004,37013687,37013689,37013670,37013669,46892712,37013468,28514250,28514248,28514276,37013519,46892788,46876608,46876607,58243589,65776632,65776633,65776740,53719750,46816377,36938088,36938089,46816381,58183205,66973402,54714270,43970453,43970452,46897473,37018963,28520927,28520928,37018968,46897481,58264294,58260020,58259764,46892726,37013475,37013473,46892719,58259760,70975667,58260017,54714315,54714316,58260001,46893011,37013695,28514363,21293357,21293358,28514358,37013684,46892999,257700964,37013650,37013649,46892954,37013746,37013745,46893069,258040615,46892817,46892816,58116823,46748125,36868809,36868810,28438635,28438636,29713698,38280344,48189773,41898231,32960128,25238934,18669380,13277510,13277509,18669376,25238929,32960122,41898220,48189766,38280341,36868919,28372206,256301291,46748261,58116977,52680486,52680485,46748200,36868862,28372178,28372179,36868864,46748081,58116782,46748161,36868832,36868831,46748158,58116863,70831616,70831498,58116672,46748275,36868916,36868915,46748270,58116983,58259889,70975710,70975715,64079976,52234090,52234089,64079974,70975707,58259885,58259884,58259918,46892896,37013593,37013594,46892900,46892880,46892878,58259896,64245855,58116881,46876395,46876396,48810167,48810165,48810164,50053051,50053050,58259907,48810111,48810113,60207212,68083493,55685090,55685091,55685130,55685129,58243520,55685078,44776816,35352151,27229077,20300003,20300005,27229081,35352156,44776822,44776795,44776793,40157355,37013353,37013356,46892590,58259618,70960058,70959511,58242904,46875728,46875727,58242901,58241582,46876686,36998277,28500890,26315234,26315236,34187162,31104537,31104539,39783439,49802637,40200805,31514415,28503723,28503722,37001280,43284068,34187167,34187165,43284066,53809026,58243542,46876490,46876489,55685041,55685040,49432850,39501696,30894391,30894394,39501704,49432861,49414319,49414296,39484501,39484502,39484535,49414334,46892570,46892571,58259594,67697565,67697566,58242925,46875742,46875734,46875735,58242910,58241587,57872371,46516449,42156818,42156816,43284054,36649301,28173734,28173732,36649294,46516463,37001288,28503730,21285242,21285244,28503734,37001293,46879844,58246984,60472063,58426721,47051975,37161328,37161327,46876902,46876903,58243771,60834728,70960089,58243719,58243718,57872354,46516436,36649277,28173725,28173724,36649274,35134056,268610314,55357653,67697583,58243668,46876778,36998417,28501081,28501082,28501083,21283008,21283009,28501085,36998420,46876784,58243672,70960059,256311932,81163367,67697561,55357633,44510972,35134041,35134040,44510970,46876909,36998566,36998565,46876905,46874908,255822928,46879862,37001304,28503740,28503741,37001306,46874887,46364216,46364217,36995438,36995439,44776905,46874171,36995446,36995448,46874175,58241615,58242189,62072351,50580291,50580290,46876897,36998563,36998562,46876834,36998482,36998483,46876840,47051984,37161338,28645150,21403652,15416490,10656760,7037239,7037240,10656764,15416495,21403629,28498856,21281169,21281168,28498853,36996311,46874905,37161330,37161331,46874954,36996327,36996314,28498875,28498874,36996335,36996270,28498833,21281161,21281162,28498840,36996278,46874151,46877655,46876874,46876875,58242204,48610774,38695199,30118717,28501184,28501183,36998546,46876883,46980834,256184524,28590579,36998495,28520471,28520472,28501110,21283022,15319725,10581159,10581160,15319730,21283029,21283673,28501842,36999259,36999280,37161332,46897051,256312030,269173439,34619158,256312050,58243756,49107944,39177988,39177989,49107946,58242159,46874894,36998449,28501104,28501103,28501883,267962230,28501839,21283707,21283710,28501889,36995077,36995075,36999230,28501821,28501819,21299275,21299274,21299053,21299054,28498882,21299469,15331581,15331580,21299465,28499717,36995012,30791486,23365632,23365630,30791481,28521000,21299924,15331948,15331949,21281286,21281277,21281275,21283058,28501146,28501346,36998705,28520434,21299364,15331522,15331525,21299373,21281210,15331763,15331762,21299722,21283734,21283733,21299793,28501857,21283720,15320239,15320238,21283715,21299732,21299731,28520227,37018363,36996409,28498960,21299063,15331305,15331304,15331958,15318442,10580213,10580210,15318434,21281263,28498544,21280886,21280888,28498548,28502281,28499002,21281293,15318458,10580222,6979502,6979501,10580218,15318451,21281281,28498995,36995904,28521013,28498988,28498986,28520420,36996417,28498965,28498966,36996361,46874982,46873844,36995057,28497593,28497594,21283559,15320112,15320111,21283558,21280893,21280892,21280898,15318185,10580027,10580028,15318188,21280903,15318462,15318461,15318446,15318445,15318492,10580242,10580244,10585952,15326716,21284082,21280272,15317723,15317724,21280276,21281884,21281883,21281126,21281127,15326982,15326983,15318405,10580192,6979490,6979491,10580198,10589196,15320172,10581502,6980510,6980511,10581506,10579653,6979079,6979078,6985311,6985212,4389233,4389232,4389259,2629804,2629803,4389295,6985323,10589219,15326702,15318844,267763858,6979400,4385138,4385137,6979398,10580070,10589124,10589125,15331850,21299825,28498791,21281123,15318347,10580150,6979477,6979478,10580156,15318353,10589223,10589221,267763838,10579714,10579715,15317505,10579579,6979040,6979039,10579577,15317504,21279999,21280245,21280239,21280238,28497726,22935235,22935236,21293452,15327245,15327246,255028544,15331136,15327215,15327214,12193491,12193490,16204981,16204982,21689559,15786093,10936201,7236022,7236021,10936182,15786055,21858171,28229682,256860767,256320807,268977000,24670456,18207279,12913957,8784697,268012543,24670452,23596174,17283881,17283880,18207246,12913936,12913935,18207244,21994655,29323990,37891915,35164396,35164398,40956640,41134123,41134121,34583644,26596524,19790781,19790780,26596522,34583642,38075056,29510702,29510701,24591439,24591440,24591523,24591524,28921105,21645825,21645826,28921107,24278082,24278083,21645843,15613100,10802327,7137604,7137602,10802324,12866981,12866982,18145235,24590592,28856338,21583400,21583399,28856335,37397164,28856332,21583398,15559151,15559150,21583396,28856327,21583417,15559165,10762017,7110757,4477146,4477148,7110761,10762023,10762046,7110774,7110773,10762043,13980523,9602506,9602504,13980518,19527563,26244890,21669440,255418821,15632845,21669336,26901387,20019014,14338038,12839484,12839485,18107055,13632805,267934361,3825797,3801920,2277285,1325287,1325289,2284780,3814175,267813622,19024347,25641283,33407937,42397057,52796631,64710464,77899084,91820317,256965924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646695, s2 = 14242690, dlinesl.size( ) = 2 s1 = 11646695, s2 = 14242690, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11646695, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 14242689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11646737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646737, s2 = 11217406, int(edited[s2]) = 0 s1 = 11646737, s2 = 11217406, d1 = 11, d2 = 4 Dl.O(d1) = 255148275 Dl.O(d2) = 39423450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646737, s2 = 11217406, dlinesl.size( ) = 14 s1 = 11646745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646795, s2 = 11223146, int(edited[s2]) = 0 s1 = 11646795, s2 = 11223146, d1 = 22, d2 = 27 Dl.O(d1) = 3953652,4957633,2993106,2993103,3743796,5987293,9149191,255257881,25376689,33111967,25740711,255278595,9342065,8096167,8096166,255149267,12860426,12860425,10402223,10402224,11588446,7713780,7713775,9271432,9304643,9304642,6095014,6095013,9304680,8323930,5371479,3302255,3302256,2294224,1331133,1331129,2294201,3829308,6120417,6134025,9289922,9289925,13568515,19011273,19154400,13677489,9366422,9366423,13677494,14330655,14330656,19084311,13625288,9329935,9329933,13625283,18991443,25603853,20285452,16264875,11308415,11308414,14555544,12470229,12470225,13563200,19004445,19009131,19119828,19144650,19144648,22431244,19004556,13669670,9360890,6131474,3836032,2298130,1333446,1333450,2298139,3836052,6131515,9360963,12656717,17866977,12652612,8590535,8590536,12652619,17866998,17865995,12651930,8590140,8590141,12651936,12651922,8603066,8603070,12668236,17885131,17872394,13626247,13626244,17873441,13568266,13568269,9289848,9289850,13568415,13566895,9288919,6085048,3807494,2280775,1322795,1322796,2280777,3807499,6085054,9288927,13566902,254656607,6085049,9288920,8592435,256045177 Dl.O(d2) = 258114176,39347827,39347829,49274047,60674524,60674529,50642196,50642197,48143949,48143948,59531423,72265561,257662860,141044790,260133310,70934554,58217279,46849354,46849353,58217277,60118056,48722968,48722967,47891579,37973681,29410282,23373744,23373745,17104659,255533407,30801103,39405697,30801106,30801105,39405700,49335334,59774005,261193683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646795, s2 = 11223146, dlinesl.size( ) = 28 s1 = 11646797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646797, s2 = 15903005, int(edited[s2]) = 0 s1 = 11646797, s2 = 15903005, d1 = 38, d2 = 48 Dl.O(d1) = 256126280 Dl.O(d2) = 257103792,40260239,40260240,50281229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646885, s2 = 10983580, int(edited[s2]) = 0 s1 = 11646885, s2 = 10983580, d1 = 11, d2 = 10 Dl.O(d1) = 255439732,14237028,17082478,11994708,9779938,9779934,8508922,6429796,4033835,4033833,4036681,4036682,6008407,6008408,6435075,4036790,4036791,4037223,3920492,2346821,2346824,3920453,3920451,6262095,9544356,13906846,13732491,9407675,9407677,13732500,19223798,19878554,19878552,26698102,19877521,255407325,15480998,21485098,256330887,28804713,21538018,15522603,255040864,2683129,254504023,10735637,15522602,11547650,7682671,7682669,11547635,11547551,11547548,14096227,9695129,6376432,4000722,2397520,2397519,254463725,3914567,2343385,1357500,1357503,2343458 Dl.O(d2) = 3914825,3914822,6253634,3915137,3915134,6254229,9533930,13894025,19420131,26113046,33944190,28094721,28094717,33941042,33467950,25695105,19070029,13614322,254658707,243371,134501,73103,73109,73400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646885, s2 = 10983580, dlinesl.size( ) = 14 s1 = 11646915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646915, s2 = 14147636, int(edited[s2]) = 0 s1 = 11646915, s2 = 14147636, d1 = 44, d2 = 10 Dl.O(d1) = 258859749,101582211 Dl.O(d2) = 234634145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646915, s2 = 14147636, dlinesl.size( ) = 32 s1 = 11646959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647005, s2 = 15091263, int(edited[s2]) = 0 s1 = 11647005, s2 = 15091263, d1 = 12, d2 = 15 Dl.O(d1) = 255652080,254913662,9909824,9909825,14407760,13311586,9092515,5948394,3719917,2227485,2227484,3719910,5948378,4238923,4238926,6763819,10289207,10377681,15051596,14595933,10043981,6601675,4135763,2473939,1430032,813532,813529,1430022,2473465,3713159,3713158,254642445,254715362,13298124,13298125,17777393,24141736,23652488,17335509,12209853,8240880,8240881,6769804,6769805,5312763,254323126,8240895,5312718,3262243,3262242,2695368,1561507,1561508,2695371,4253529,254708213 Dl.O(d2) = 268599204,20886393,255238908,18070860,24498001,18166038,18166039,24615957,26633922,254293708,254636764,15014670,15014673,10343310,6809565,6809566,10343314,15014697,19339643,19339642,26014007,26106016,19414911,19414912,26106020,33171824,26633926,25328925,18749554,13348680,13348681,18749557,25328928,26112812,26112809,25307930,20922462,18732152,13335142,13335144,13892371,13336261,13336263,9533001,6253562,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914811,3914809,6253593,3914895,3914893,6253760,9530415,9530414,13889314,19413757,23659303,23659302,255637712,49851627,52318291,42001121,33057696,25328918,25328919,26633922,254293708,25328920,25328921,33057697,42001122,42001121,254636760,64190113,255773036,19979864,19954865,14289116,9832485,6458837,4048007,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647005, s2 = 15091263, dlinesl.size( ) = 2 s1 = 11647005, s2 = 15091263, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11647005, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 11647047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647047, s2 = 10160726, int(edited[s2]) = 0 s1 = 11647047, s2 = 10160726, d1 = 45, d2 = 24 Dl.O(d1) = 255745384,35091523,254471640,30113812,255329802,48605301,48605311,59996831,59996832,59996859,59996858,72734061,259413323,59996846,59996847,48605324,48605325,48605328,256975449,30113845,22733249,16527571,11518973,7662548,254362679,1694624,963620,254101133 Dl.O(d2) = 255491087,267791753,963620,963619,1694622,2921390,2921392,256975439,30113835,38689717,38689718,30113841,22733246,22733247,22733248,30113843,30113836,30113824,255491075,7662523,7662524,11518951,7662533,254792057,963614,543042,543040,254543153,255491073,255491083,16527556,255491085,4848081,4848080,254543155,4848066,254543165,2921382,2921380,4848080,254792059,7662540,7662539,4848084,254543169,4848071,4848088,7662541,255109831,16527564,11518968,7662543,4848089,2921389,1694620,963618,254101131,304325,543041,963613,1694611,2921379,4848077,255491081,16527562,22733239,22733234,16527554,11518959,7662532,4848073,2921377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647047, s2 = 10160726, dlinesl.size( ) = 38 s1 = 11647065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13962682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14200757, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11647137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10747554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647171, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11647251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647251, s2 = 11476542, int(edited[s2]) = 0 s1 = 11647251, s2 = 11476542, d1 = 8, d2 = 13 Dl.O(d1) = 269109107 Dl.O(d2) = 271780376,272734923,264697275,210848295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647251, s2 = 11476542, dlinesl.size( ) = 14 s1 = 11647359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647359, s2 = 14042670, int(edited[s2]) = 0 s1 = 11647359, s2 = 14042670, d1 = 31, d2 = 39 Dl.O(d1) = 256353510,38081038,47819502,268744978,30617008,39213770,37907350,29338551,22007175,256375039,47829124,59227041,258731343 Dl.O(d2) = 201705234,263949509,186635362,262779573,271323726,60667432,257023907,256901884,17056633,23321837,30742672,29147887,23321581,17056303,17056302,23321579,23321854,23321855,255715172,22445271,16276081,11317618,11317619,16276084,11965199,8009386,5098654,3094670,1808151,1808152,3094673,5098663,254821055,17056371,15768967,15768885,254750607,4551202,4551201,7223163,10921248,7223150,4551192,4551195,7223153,7222869,7222870,8009652,5098855,4551305,2735896,1585239,1585240,2735899,4551311,7223297,7223298,7233302,4559713,254230797,903270,254098887,157819,157820,285597,509442,903272,1588978,254342377,1585562,1585563,2736430,4552110,4557784,2740458,1588067,902781,902782,1588068,2740460,2736459,254162427,901394,1585583,2736466,1587592,1587591,2739727,4556697,7229849,10928575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647359, s2 = 14042670, dlinesl.size( ) = 38 s1 = 11647373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647373, s2 = 14140018, int(edited[s2]) = 0 s1 = 11647373, s2 = 14140018, d1 = 11, d2 = 13 Dl.O(d1) = 259359722,261704454,197805840 Dl.O(d2) = 262699791,263889327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647373, s2 = 14140018, dlinesl.size( ) = 22 s1 = 12024760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647517, s2 = 82623, int(edited[s2]) = 0 s1 = 11647517, s2 = 82623, d1 = 24, d2 = 15 Dl.O(d1) = 256614854,48916935,60315228,255640044 Dl.O(d2) = 1737390,987383,555599,310771,310775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647517, s2 = 82623, dlinesl.size( ) = 2 s1 = 11647517, s2 = 82623, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11647517, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 11647549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647549, s2 = 11263908, int(edited[s2]) = 0 s1 = 11647549, s2 = 11263908, d1 = 0, d2 = 2 Dl.O(d1) = 256663276 Dl.O(d2) = 256548601,24199564,17830373,12625370,12625369,17830371,256041673,40398738,257680149,65830401,74809327,74809350,74809349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647549, s2 = 11263908, dlinesl.size( ) = 2 s1 = 11647549, s2 = 11263908, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11647549, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13964176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16346763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10893248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647691, s2 = 10658886, int(edited[s2]) = 0 s1 = 11647691, s2 = 10658886, d1 = 33, d2 = 54 Dl.O(d1) = 256961968 Dl.O(d2) = 263559905,263571172,185925673,194147186,194147187,201189232,201189265,194147221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647691, s2 = 10658886, dlinesl.size( ) = 56 s1 = 16308505, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10819288, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13965038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647831, s2 = 11034180, int(edited[s2]) = 0 s1 = 11647831, s2 = 11034180, d1 = 28, d2 = 10 Dl.O(d1) = 257156366,38547206,268915349,4381521,6063020,3793436,3793434,6063017,6063065,6063067,9257455,12069057,12069055,8903208,8903207,13065707,18395050,23057499,21177593,15217541,254722327,6921860,10497057,15217539,21174967,15218918,12113147,8144604,5217441,5217442,4568468,2747738,1592555,1592556,2747745,4568480,7245834,10948939,12668144,17885020,22574581,22574580,29937160,38500318,256432594,86124567 Dl.O(d2) = 256307014,2586830,1491223,844353,844352,1491218,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,2012750,1151113,1151109,2012734,1271613,726616,726613,1271606,2190741,254502401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647831, s2 = 11034180, dlinesl.size( ) = 24 s1 = 11647847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647847, s2 = 11656436, int(edited[s2]) = 1 s1 = 13965616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13965982, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13965982, s2 = 10340623, int(edited[s2]) = 0 s1 = 13965982, s2 = 10340623, d1 = 17, d2 = 9 Dl.O(d1) = 258189068,10847188,7170970,5030880,5030881,7913892,11841692,16920103,255956494,14379933,254687469,6495414,9885770,268174013,256214597,21778971,15719935,15719934,15729725,21788091,20065876,14381757,9887384,6496548,6496549,9887386,14381762,20065879,15731210,10894625,7205258,7205259,10894628,10882076,10882074,14379991,20064182,255738781,14390524,14390525,14390535,9896527,9896526,14381858,10811647,8238319,5310790,5310792,6492153,6492151,9881512,7699308,7699309,10813484,7146020,4499759,4499758,7146015,10813478,11731810,14367687,14367689,16588834,11571350,7702148,4875405,4875406,7697697,4871867,4871868,7697699,6502447,4074525,4074524,6502446,9894833,10890715,7202148,7202149,10890719,11569344,11569346,9880977,8309103,5361399,3295895,3295894,4075105,2438285,2438284,4063014,2431608,1406488,1406433,1406432,800373,453605,453603,800357,1406018,2430738,4061396,4659216,2807044,255075427,22129228,256382945,47939972,59331749,257581444,30639539,38026193,257505101,258738471,73307520,85653249,259451057,73307523,60564052,49164385,257001148,23216318,255887281,22129228,256382945,47939972,59331749,60564046,73307516,60564049,60564050,73307520,85653249,259451057,73307523,60564052,60564051,72066053,59331745,59331744,72066050,85653249,259451057,73307523,60564052,49164385,257001148,23216318,255887281,22129228,256382945,47939972,59331749,60564046,73307516,258826917,86917885,73307523,60564052,60564051,72066053,59331745,47939970,38026191,38026192,257505101,258738471,73307520,85653249,259451057,73307523,60564052,49164385,257001148 Dl.O(d2) = 16944110,255128414,5038232,3050264,1776977,1776976,3050263,5038230,7925553,7446541,6989393,6989392,10594802,11222943,11222942,16153912,22299356,21308964,15340766,254242318,10594247,6989204,4392016,2631598,1519568,861589,861590,1519575,2631616,4392040,6989249,10594595,15339116,16226344,11279928,10594609,10594607,7487734,4731940,2851045,2851044,4731936,7487722,11279878,16226284,17712970,24068828,17712892,17712893,24068830,28330945,21119785,15172421,15172420,15340252,10595938,6990232,4392651,2631972,1519772,1519770,2631966,4392637,6990200,10595880,15340587,269001757,12534352,12534353,17717852,23906211,17562392,12391391,8373898,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569240,7246941,10385405,10385411,254927836,268299297,13157195,12383130,8367813,8367814,12383135,12376922,12376924,17383196,12383769,8368237,5400836,3320698,3320697,3323291,3323292,3324653,5407964,8379878,8365687,8286884,5589968,5589969,8380176,9767717,9767720,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262033,16177320,16177318,22322718,17379027,17379028,18948590,13511845,13511844,12384147,12384145,17554636,254829486,28161985,20982192,15070050,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103170,1931008,3281438,3281432,5338280,8273238,12249893,17383687,17847934,255027028,258240031,87643899,260102153,129538269,142857280,155440280,167081074,177587594,186875577,194968252,201893809,207720772,212524999,265032477,222460578,265594675,265749391,230233834,231630566,266250377,234939672,233896518,232751768,232751767,274635559,266048156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13965982, s2 = 10340623, dlinesl.size( ) = 2 s1 = 13965982, s2 = 10340623, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13965982, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 11648041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648041, s2 = 3095941, int(edited[s2]) = 0 s1 = 11648041, s2 = 3095941, d1 = 14, d2 = 9 Dl.O(d1) = 257583742,11274595,11274591,13208090,13208088,9003940,5877864 Dl.O(d2) = 97903403 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648041, s2 = 3095941, dlinesl.size( ) = 10 s1 = 11648163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648165, s2 = 10480926, int(edited[s2]) = 0 s1 = 11648165, s2 = 10480926, d1 = 10, d2 = 12 Dl.O(d1) = 257798428 Dl.O(d2) = 40073601,31392046,255670166,254977854,8382205,8382202,11244381,7463827,4716707,2841598,2841599,4716712,7463837,11244399,8602319,5590054,5404266,3322568,3322565,5404253,8373748,12391197,12410497,12410496,17582798,17582779,17550109,254852621,8365464,12379858,17550112,23428913,23428912,23473174,22878889,16650508,16650509,11618429,11618036,11618035,16650226,12272725,8287547,5346321,3285694,1932275,1932271,3285675,3285673,5346292,8287477,12272628,17414035,17413340,12272069,8287129,5346144,3285617,3285618,5346150,5346083,3285582,1932230,1932228,3285573,5346062,8286966,7737955,4899302,4899298,7737945,7737913,7737914,11619264,12389759,16651487,12648788,12648786,15488107,15488108,12380141,11016345,11016344,11618929,8273005,7737528,7574185,7574187,10555148,10555149,11618548,16650877,17883544,254727362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648165, s2 = 10480926, dlinesl.size( ) = 14 s1 = 11648365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648365, s2 = 13998993, int(edited[s2]) = 0 s1 = 11648365, s2 = 13998993, d1 = 8, d2 = 8 Dl.O(d1) = 260710853,143056680,155606064,167236964,177733468,187012117,195094445,202009294,207824485,212617575,216533674,265429081,222521985,222521986,265752929,230268171,228700499,228700500,230268173,231661507,231661523,230268188,228700507,228700509,230268192,231661529,232914127,234048659,232914122,231661517,230268180,230268179,231661516,232914120,231661522,231661519,231661506,231661507,232914113,232914123,232914124,234048660,235082170,234048656,232914119,232914120,231661525,230268188,228700507,228700509,230268192,231661529,232914127,234048659,232914122,231661517,230268180,230268179,231661512,266156762,228700502,230268177,231661513,231661504,230268172 Dl.O(d2) = 260710853,143056680,155606064,167236964,177733468,187012117,195094445,202009294,207824485,212617575,216533674,265429081,222521985,222521986,265752929,230268171,228700499,228700500,230268173,231661507,231661523,230268188,228700507,228700509,230268192,231661529,232914127,234048659,232914122,231661517,230268180,230268179,231661516,232914120,231661522,231661519,231661506,231661507,232914113,232914123,232914124,234048660,235082170,234048656,232914119,232914120,231661525,230268188,228700507,228700509,230268192,231661529,232914127,234048659,232914122,231661517,230268180,230268179,231661512,266156762,228700502,230268177,231661513,231661504,230268172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648365, s2 = 13998993, dlinesl.size( ) = 2 s1 = 11648365, s2 = 13998993, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11648365, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11648379, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648379, s2 = 10506548, int(edited[s2]) = 0 s1 = 11648379, s2 = 10506548, d1 = 20, d2 = 21 Dl.O(d1) = 258264739 Dl.O(d2) = 268112747,254403823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648379, s2 = 10506548, dlinesl.size( ) = 20 s1 = 11648623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648673, s2 = 11325960, int(edited[s2]) = 0 s1 = 11648673, s2 = 11325960, d1 = 9, d2 = 13 Dl.O(d1) = 260135235 Dl.O(d2) = 263186298,72883884,60147489,256987580,30249486,22854872,22854873,254798466,47279907,46622592,36734401,29262660,29262657,37828233,38375403,29803610,29803611,38375406,30852983,30852982,38937332,31987617,31987616,29803621,29803620,30188177,30188178,38374912,29803183,29803184,22437647,16270322,11313381,11313380,255913143,26195309,28668042,28668043,32535599,24890454,24890455,22332692,16185906,255465587,29684601,33863776,32534341,255631361,18389590,24889419,32534343,32534286,32534287,24890072,24890073,24132013,17768510,17768512,18389828,13062394,13062396,18389830,24889703,269470255,257385756,256270352,47926931,38012539,29450423,29450424,38012542,31115930,271386127,155480745,155480744,155480745,262122250,194985622,201907760,263822632,264148514,219719178,264937696,219719177,219719176,222469293,222469295,264937696,219719177,219719176,222469293,222469295,264937696,219719177 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648673, s2 = 11325960, dlinesl.size( ) = 8 s1 = 11648717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648743, s2 = 14113618, int(edited[s2]) = 0 s1 = 11648743, s2 = 14113618, d1 = 18, d2 = 17 Dl.O(d1) = 18431084,13092031,13092032,18431503,24946097,31971075,31971076,31971083,31971081,24946149,18431553,13092074,13092073,18431550,13092090,8921674,8921672,13092085,18431573,24946168,32610690,41490222,32610700,28160385,20980805,268065193,6849223,6849222,10392015,15068712,20980791,24945765,18431379,13091955,8921604,5822123,3632097,2169415,2169414,3632091,5822117,5822079,3632071,3632068,5822075,8921523,13091836,13092038,8921641,8921643,13092045,12761593,8672936,8672935,12761590,18007301,18431559,13092079,8921667,5822158,5822159,8921660,8921679,8921678,13092099,18431601,24946086,32610609,32610684,41490049,32610534,32610532,256094148,41489617,32610151,24945831,18431319,18431318,18431252,13091875,13091874,18431247,18431520,13092049,8921650,8921649,13091872,8921554,8921553,13091870,18431244,256094135,41489615,41489940,32610444,256094155,24945922,18431385,18431384,24945924,32609949,256607423,32609918,24945536,18431115,18431114,24945533,257160977,32610645,24946118,24946117,32610442,269961689,63538287,51759546,41489959,32610539,24946027,256094161,257160913,63538308,63538307,63538576,63538828,58470049,58470048,258680429,77419240,90476745,76618242,63538584,51759814,41489366,32609924,24945539,18431119,18431120,24945541,32609932,257160919,63538601,51760030,51760029,41490113,41490114,41490102,41490101,257748505,51760567,51760569,63539300,70420864,70420865,71496493,71496496,85068820,85068823,88082919,98687810,84760485,84760484,98687808,111729081,97807036,97807037,111729083,98687697,84760303,84760302,98687694,112682397,271792944,98687717,258724096,59139558,59139557,71191808,71191807,58470246,58470244,71191938,76618864,90477187,84760337,71191856,71191855,63787320,51971985,51971986,47092369,47092370,58470248,71191942,67637880,55299813,44455248,44455247,55299809,67637872,77555624,91486392,84760319,84760320,98256805,84760339,71191761,58470082,47092257,37196529,28674188,21426378,21426376,28674184,37196523,47092247,53723545,53723544,65780128,58470095,58470093,71191697,58470013,47092222,47092223,58470018,71191702,84349339,71191831,58470129,47092293,37196549,28674195,28674194,37196544,47092285,37196594,28674217,28674218,37196598,47092387,55299820,67637884,71191725,71191868,58470170,58470168,58470175,58470176,58073394,58073395,47092326,47092327,58073469,46701439,36818907,28323476,21113650,21113651,28323480,36818912,46701449,58073482,70790719,84349421,259031294,257789056,58470239,47092364,256643634,71191937,84760343,84760270,84349315,70790615,58073392,58073387,46701393,46701394,258025721,58073401,46701400,46701399,58073399,58470001,58470000,71191683,84760262,95081718,95162228,90476891,76618489,76618490,88441909,86065959,72467263,59731426,48347301,48347300,59731424,72467256,86065955,100029481,109473586,109473587,259309026,104640507,97711765,83852637,258682276,71216357,270292919,98713148,109473641,123665550,113006619,99018148,85092862,71520622,58791052,58791053,70327267,57636733,57636734,58494429,268614390,28693553,28693554,256867813,258057961,84785290,86065921,72467210,59731365,48347239,38445173,38445174,48347242,55356986,57636704,46292268,36439141,36439139,44510479,35133592,35133593,35133599,27047918,27047917,27980023,22534727,22534726,29889021,38445293,48347370,59731412,48347291,38445216,29888934,22534663,22534662,29888931,38445212,44510500,35133608,27047922,27047923,35133603,35133602,38445134,29888862,29888861,27047904,22534679,22534678,29888955,22534710,22534709,29889001,30216020,30216019,35133539,35133538,30216627,22824258,16603622,16603625,22824265,268311150,38272524,29888859,22534601,22534600,16360990,11385823,7564333,4782948,4782949,7564336,11385829,16361007,22534650,20221763,16603337,16603339,22823822,30043533,36439184,27980047,20816115,14919518,10259143,6741559,4224398,4224400,6741566,10259153,14919536,20816157,22534673,16361020,16361018,22534668,16361045,16361044,22534720,29889014,35133544,27047880,20155251,20155250,14482942,14482941,20186163,15560206,15560205,21584755,22350963,22350966,16360978,11385816,7564329,7564331,4782953,2882140,2882143,4782960,7564313,4782937,4782936,255097309,22534468,29888657,29945869,22582953,22582952,22600377,22873355,23478786,17196045,17196044,23478784,30915877,37816342,256014979,17492079,17492078,13463115,13463114,18892085,22744732,22744734,30127371,38704123,269354485,270337381,260631431,130435129,116592901,259431600,74848525,62050352,62050351,74848522,88484215,102490974,116592892,116592868,102490966,88484204,88484203,102490964,260161253,270406713,50557927,40521523,31824534,24307561,17923228,17923229,24307562,31824535 Dl.O(d2) = 8627582,8627583,12699152,17923222,17923223,12699161,8627589,8627588,12699158,17923236,24307568,31824541,40521527,50557933,62050350,74848519,88484213,258786571,59969293,48577608,48577607,48577615,48577614,58557983,64999653,64999652,78272647,92299542,84864283,84864284,98792574,84864277,71289964,58557987,58557988,71289966,84864280,84864292,256669096,58557984,47169080,47169081,254452276,254452278,53023020,42585136,33568156,268757795,37263192,28731127,28731128,37263194,257450713,71289985,64999667,53024990,53024991,64999668,78272665,92299555,259063532,85135283,71565233,58838154,47452251,47452250,58838152,58838158,71565237,71565236,58838167,47452259,37544365,37544364,47452256,58838162,71565244,85135297,270819934,81150587,67684766,257208910,257913417,81150583,95207642,95207643,259790201,123654905,137386293,150426400,154385317,141737847,128392527,127553398,271798766,137386291,128392529,114518470,271823461,128392540,114518478,100494712,86536030,72937837,72937836,86536028,271798769,99662148,85714597,72129982,72129983,85714599,99662151,113674730,113995355,99971572,258766211,59680138,48293046,48293047,258766213,86012012,99971577,113995363,127873872,261186699,99971666,258899587,61732895,50254556,40235201,40235200,38953540,30367351,29150981,21842778,21842777,17693216,12514117,8477933,8477932,12514114,17693214,24045701,31549280,40235198,38854717,30270416,255752328,15547312,10752870,7104067,7104066,10752867,15547307,13695458,13695457,19178436,19178518,13695513,13695514,17043981,11956840,11956839,17043978,23304725,30722208,25830911,19178346,13695405,9379335,6144413,6144415,9379330,13695397,268305421,33633619,31289475,23803071,23803070,28939381,28939378,33633818,42663223,53115231,65102023,78385773,92423067,271494170,100363011,86406756,72811676,60074420,48678324,48678325,60074422,63087680,63087679,76088250,70021112,57369985,46086489,46086490,268811826,51395671,51395670,63087658,256594414,51395766,41202942,41202943,41202902,32382694,24762492,18285642,12978641,8834705,8834703,12978635,18285629,24762473,32296595,40911702,40911703,51053651,51053650,57802740,55467812,44618691,44618692,41202111,32382094,32382095,257146717,63086003,63087543,63087544,63087693,63087694,256914470,51394726,41202286,41202287,32382608,32382607,37995332,29432870,29432869,32133883,24552857,18115990,18115989,268167842,34575376,34575375,41202133,43933750,34660155,26667878,19851966,19851967,18096916,12830971,8724419,8724420,10814751,13587174,9303468,6094336,6094332,9303454,9098838,9098839,6586721,6586723,7127981,10788549,13692610,13692609,14193414,19814702,14193613,9757345,8601097,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,16297303,16297307,14941343,10276270,10276271,14941352,14608273,10051915,10051914,11509017,13729914,9405637,6162291,6162290,9405630,13729899,10332996,10332993,15002717,11509247,7656366,7656368,9473806,11509261,11509260,16514854,20839369,14940041,10275297,6752740,6752737,7108969,9797906,9797907,10274682,14939214,19542831,20340918,17850530,12641570,8583514,5577525,5577523,8583506,12641551,17850497,13315163,13315164,18708276,15808855,10954940,7250641,7250642,10954943,15808862,18672401,20338548,14596621,13315153,9095871,9095869,5950848,5950847,9095886,12339000,11338685,11338682,16296572,16515184,11509529,7656527,4844638,4844637,7656522,10265421,10265420,11664075,14940741,14606506,14606505,20349811,21073218,22466979,16299000,11340618,7536205,7536206,11340621,16299005,15594812,15594813,12331422,12331421,13011538,18329867,24821305,254488424,20093444,14406307,14406306,18691546,15702718,15702717,21757428,17334195,12208779,8240137,8240138,12208782,17334197,23651230,31138738,39821287,255462144,61327779,74110427,87716375,101689947,115734508,102347455,258405096,61929559,50439102,257097434,24205672,17835949,16447160,11459479,11459478,16447157,21916180,17835781,17835780,24205456,31713072,40405119,257680811,258912579,88351240,102347457,116440602,130277441,143604963,156139513,167741952,160336227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648743, s2 = 14113618, dlinesl.size( ) = 8 s1 = 14217128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14217128, s2 = 8036281, int(edited[s2]) = 0 s1 = 14217128, s2 = 8036281, d1 = 3, d2 = 12 Dl.O(d1) = 101233478 Dl.O(d2) = 268812341,43872121,34602048,26614722,19806178,16279576,16279575,16281345,22449833,20194954,14490026,14490025,20194953,22448697,22452101,16282910,16282514,11323795,7520075,4754358,4754359,7520078,11323797,14490792,16278910,11323382,11323381,16282103,16282923,16277952,11318983,7515772,7515771,11318977,7515775,7515777,11318989,11322631,16281460,11323899,11323900,11323885,11319125,7515868,4751276,2863552,1662039,1662040,2863557,4751287,7515893,7516647,4752035,2863954,1662252,945782,945781,1662253,254356787,4548148,2734032,2734031,4548147,7218589,7218147,7218148,7519414,11320931,16279928,21827644,16281182,16281181,21310843,21310844,255462472,15759531,15759532,21827452,29134583,34611310,26622387,26622366,19812105,14191241,255314261,18163966,24612763,32201198,29134694,21827543,15759632,15759301,15759302,21827164,24612874,29816217,29134700,29134701,30443614,29816163,23036671,16792309,11741178,11741139,11741141,16792212,16281222,16278625,11319536,7516150,4751434,4751435,7516159,11319558,16268145,11311125,11311126,11741118,16792171,23036409,30443853,255084962,25927296,255264994,3872230,2318906,1344382,1344379,1344198,1344202,1344236,1344232,2318576,2341488,2341648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14217128, s2 = 8036281, dlinesl.size( ) = 8 s1 = 11648875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648875, s2 = 11309436, int(edited[s2]) = 0 s1 = 11648875, s2 = 11309436, d1 = 16, d2 = 19 Dl.O(d1) = 259358522 Dl.O(d2) = 257828634,11056722,11056723,15933950,22035555,29366161,256919489,25086452,18541874,13174836,8980928,8980930,255642143,32784245,41700731,52012386,259629655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648875, s2 = 11309436, dlinesl.size( ) = 20 s1 = 13988927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648937, s2 = 11027918, int(edited[s2]) = 0 s1 = 11648937, s2 = 11027918, d1 = 57, d2 = 52 Dl.O(d1) = 261534912,62824778,259585676,256583986,32229482,24632765,255222083,8768314,255222081,256583985,255668948,37145894,28631922,21393008,15408060,10650176,10650177,14459240,9947857,9947856,10705521,15481190,21485344,28347018,255467232,112267246,126126458,139501380 Dl.O(d2) = 261177690,260811016,38627814,30053950,30053949,38627812,37601276,29053071,21758608,15703612,10870849,7187462,7187461,10870845,15703605,15255479,15255480,21225565,28452338,28414559,21192821,19538083,19538084,26256699,34121971,28421480,21198804,21198805,28421484,36919533,36945015,33962879,26124740,26124742,33962882,33962871,26124735,26124736,33962872,43020475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648937, s2 = 11027918, dlinesl.size( ) = 54 s1 = 11649043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649183, s2 = 10415212, int(edited[s2]) = 0 s1 = 11649183, s2 = 10415212, d1 = 11, d2 = 13 Dl.O(d1) = 261150065 Dl.O(d2) = 175901962,185392436,263886295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649183, s2 = 10415212, dlinesl.size( ) = 14 s1 = 15905131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15905131, s2 = 9129022, int(edited[s2]) = 0 s1 = 15905131, s2 = 9129022, d1 = 41, d2 = 33 Dl.O(d1) = 256488452,72893865,72231123,59494985,48106338,38194702,29627710,22275953,16133218,11207154,268224053,256938253,59494977,72231110,85824164,85824159,72231108,255739592,46328013,36472732,28012345,20846625,20846624,15985225,11097229,11097227,13696479,19179761,18239945,12938285,12938282,14946192,20846606,24331803,254161980,17943053,23358376,26959624,20075954,15985624,15985622,22093345,28864061,26938127,20052200,16483741,11485084,11485085,16483744,22680188,16482488,11484389,7638672,4832811,2912222,1689448,1689445,2912236,4832846,7638740,11484505,16482699,22680520,24711506,32326817,31324112,31324113,39028958,40515662,34981413,34981414,44358857,44545139,35167410,28862366,21588245,21588244,254974614,35011381,26929619,20044110,14359231,14359230,20044107,26929613,35011372,35018895,26937801,23932033,17589735,17589734,23932031,31422456,37986915,30440243,30440244,32853131,32853133,38058105,29494751,22155767,21590607,15564414,10765427,10765426,15564409,11988751,8040365,8040363,11133327,16034270,22154719,24912300,18406855,13074317,13074316,18406853,24912296,268724971,54681357,43938820,43938821,54681361,66937536,54681498,43938930,43938931,54681501,43938979,34664854,26671741,26671740,26671712,19854875,14224589,14224591,19854877,26671717,34664818,43938925,43938832,34664759,34664758,43938830,54681371,66937583,54681344,43938803,37819226,29253930,29253929,37819222,47741581,59140227,66937520,54681184,54681183,66937516,66937736,270112029,66937514,257290569,34664663,34664664,37970086,257502571,54681202,43938676,43938675,54681199,66937540,54681556,54681557,257888907,43938918,34664814,34664813,43938915,54681474,66937791,80363219,259765543,122968924,136799193,149934511,162145568,165290258,153494418,140813648,127453491,259979671,270316589,257502573,29406210,29406209,33863609,257837947,78684255,80363055,80363057,94416650,94416775,94416776,92747446,78684236,65379610,53375631,53375630,59284907,47888472,37970136,37970137,43938765,43938764,54681292,66937624,80363109,72021722,59284845,47888428,37970102,37970101,47888425,59284843,66937615,80363100,94416672,85610374,72021737,59284864,59284863,72021710,59284821,256922405,29406213,22075568,15969999,15970000,22075571,29406220,34664697,29406244,29406245,37970132,34664834,34664835,43938949,54681525,53375643,53375642,65379625,65379618,53375635,53375634,53375638,53375639,57725094,66937636,66937635,72021781,70673381,57954327,47888415,47888414,59284832,54681273,48013422,48013421,59284871,256380334,29406235,22075579,22075578,29406232,37970115,47888445,47888438,37970109,29406227,22075576,15970001,11085033,7350921,7350922,11085037,15970009,22075591,29406250,37970143,47888477,59284911,72021786,85610410,94416653,80363068,66937552,66937553,57954350,57954351,70420235,57725103,46374793,46374792,57725099,70420232,83947147,85610359,72021715,59284828,47888410,47888411,57954334,46577662,46577664,57954346,70673387,59284870,47888449,47888448,59284867,72021738,68014873,55627854,44729797,44729798,55627858,68014878,59284838,47888419,37970123,29406238,22075582,21335393,268382113,37063233,46942216,58308588,71024060,80363224,80363114,80363113,94416654,85610368,72021727,70673390,70673338,57954293,57954291,70673334,84227068,70673344,70673345,74779754,70673364,57954310,54644899,54644900,46577661,36691360,28201377,28201378,36691365,46577625,57954289,57954313,50491751,50491750,61983653,61198644,49720242,49720241,60335623,48937903,48937902,60335622,59284874,47888453,37970118,37970119,47888456,59284878,70673400,57954361,46577677,46577678,54681491,66937799,70939741,80363118,70673370,57954319,57954320,70673354,57954303,46577633,46577632,57954300,70673350,84227077,88411156,84227094,70673374,70673372,84227092,73076081,70673383,70673384,84227071,98122693,84227105,70673385,61983657,50491758,50491756,59607159,48220371,48220370,59607156,60335619,73076084,85610375,72021749,72021748,84227108,70673407,257406855,36691384,28201390,21009894,21009895,21009878,21009879,28201359,36691336,268964355,39014848,257000151,30426185,268654521,60335611,60335961,73076278,61983646,50491745,40455927,40455928,50491747,61983649,74779765,85935384,72341631,260003161,100653579,258811676,60336035,60336033,55298682,44454318,36691389,28201395,255374437,10407373,6860379,6860378,10407369,15089729,21009886,28201372,36691351,44454324,39015240,39015241,48938363,60335616,48937896,48937895,60335614,73076083,61983665,50491763,50491762,60335959,60335608,48937889,39014844,39014845,48937892,48938340,55298672,67636501,60336037,48938413,39015297,39015295,46577687,48937930,48937931,39015289,30426486,256456045,48938407,48938424,39015309,39015310,43009431,43009432,53487563,65510942,78843242,81102097,95159974,109415596,95159977,95159975,81102100,81102101,86680833,73076295,257580565,39015225,39015224,48938348,39015282,255955759,16780815,11733147,11733148,16780821,23021422,30426492,39015301,48938201,43009435,33952647,26115780,26115781,33952651,39014896,48937969,60335665,70911210,58198655,48938488,48938487,48938063,48938062,60335733,257398834,73076423,73076412,60336122,48938495,39015359,30426543,30426544,39015363,39015231,30426449,23021387,23021386,30426442,39015222,48938344,48938375,60335956,48938300,39015188,30426421,23021374,23021373,30426418,30426483,23021419,23021418,23021382,23021380,30426431,39015164,30426405,30426251,23021279,23021282,30426256,30426476,30426477,39015278,48938381,257580567,60335905,48938263,48938264,59548846,52329282,52329283,48938497,39015367,30426547,23021449,16780835,11733154,7833618,4972571,3003419,3003418,4972568,7833612,11733143,16780810,23021398,30426464,39015252,48938259,59451989,59451991,58697247,47307110,47307109,39015285,39015284,48938321,39015202,37494304,28951858,21671873,21671874,28951862,34644328,43917245,46577651,48938399,39015274,39015275,46274675,36954382,28453831,28453830,36954378,46832602,55298686,55298685,60335685,48938002,39014927,39014925,30426528,30426300,23021301,16780756,11733121,7833599,4972564,4972565,7833603,11733133,16780785,23021350,30426381,37518280,37518279,41152685,38148026,29582117,29582116,38148023,39014977,39014976,48937946,48937947,39014878,30426205,23021252,23021254,30426209,39014879,39701678,31024563,31024564,39701683,49720226,43973090,34697861,26703353,26703351,34697860,43973088,46832589,36954371,36954369,46832586,39015353,30426538,23021442,23021441,30426535,39015038,255955745,16780769,11733127,11733128,16780773,23021325,30426342,39015068,48938136,50275518,40254175,39014971,30426276,23021291,23021292,30426281,39014870,48937941,48937951,257580535,73076100,86680728,98956831,86680733,73076110,60335749,48938073,39015009,30426304,30426305,39015013,48938081,58813027,58813029,70911206,58198647,58198646,60336115,73076408,73076165,60335778,48938111,47307131,37397864,37397863,47307129,58697272,48938142,39015070,39015062,39015063,48938132,60335791,60335675,48937986,39014918,30426229,30426231,39014920,40254473,48937939,269449700,74539988,71460127,58730382,58730381,71460124,73076173,60335797,49720256,49720255,61198654,60335759,48938082,39015015,39015014,48938077,256074896,58636879,70345631,59189110,47788995,37864506,37864504,47788991,59189104,58697268,47307125,47307124,58697262,71429651,60335785,60335784,60727407,73475511,74539980,61755993,57619097,46274670,46274669,48937991,40254482,40254484,50275808,50275826,50275827,61756008,58730386,47342504,37435164,37435165,257433753,57619122,46274690,46274691,51203522,50275476,40254129,40254128,255618448,50275410,48220717,46929765,37051740,256855179,58295502,59189100,48220641,48220642,51972593,41664693,41664695,51972597,63787822,60335738,48938065,39397046,30794248,23368299,23368300,30794255,31566590,40254051,50275316,40254106,31566628,24061342,17706314,17706315,24061347,31566967,40254498,50275830,53238745,42787458,42787459,46274700,36422075,27963744,27963743,36422072,46274697,40093556,31566642,31566643,40254135,31566886,31566561,29742262,22383174,22383175,21327181,255826447,37051744,40254209,50275555,61755806,61755890,50275658,40254323,31566823,24061238,24061239,31566827,40253935,40253934,50275291,61755595,61755603,50275300,50275299,40254479,31566955,31566956,38310753,40254491,50275820,60517810,61756011,257456014,72341939,59607504,257527501,38310839,38310840,48220701,59607489,50275363,50275342,50275341,46929745,37051730,28551837,28551836,37051723,46929742,58295488,59607117,59607109,48220326,48220325,48221124,38311278,29742688,22383509,17706233,17706235,24061242,24060970,24060972,31566492,40253932,42910264,33864713,26042687,19363899,19363900,26042691,33864718,42910268,39186888,39186889,40254287,38310852,29742253,22383169,16225364,11279154,7487161,7487159,11279149,16225356,22383167,29742249,38310849,40253991,31566882,31566883,38311044,31550293,31550294,40236244,40254424,50275496,48220332,38310493,29741914,29741913,38310491,29742410,29742411,22383512,16225586,11279277,11279278,16225589,22383516,22383120,22383119,29742201,31566580,31566581,38310781,40254093,40254092,41920711,32980590,31566795,24061208,24061207,31566792,40254294,50275625,48220690,38310831,29742236,22383159,16225348,16225347,22383154,29742228,38310829,31566897,268260309,17706267,24061292,31566900,40254161,40254151,31566659,24061114,17706147,17706145,16225431,11279188,7487184,4731517,2850777,1654124,1654122,2850768,4731497,7487152,11279134,16225331,22383129,22383297,24061147,29742033,22383261,22383235,22383236,17706203,12524475,8486295,8486296,12524483,11279276,11279273,16225572,16907714,16907711,23171154,28383203,21165401,21165399,24061049,17706110,12524430,8486302,8486305,11252326,11252328,16187909,22253150,22382969,29741975,38310576,48220446,59607239,72341718,85935468,99890524,113908939,127783421,141140367,153813764,141140364,141140365,153813766,165595383,261242932 Dl.O(d2) = 161470798,149185082,135961383,122034141,259908954,79142585,65788384,53732322,43220279,34132364,34132363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15905131, s2 = 9129022, dlinesl.size( ) = 2 s1 = 15905131, s2 = 9129022, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15905131, Dl.E( ) = 44, 2.81e-05 seconds used appending s1 = 14078431, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11649647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649731, s2 = 14366145, int(edited[s2]) = 0 s1 = 11649731, s2 = 14366145, d1 = 15, d2 = 0 Dl.O(d1) = 262146167 Dl.O(d2) = 141608613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649731, s2 = 14366145, dlinesl.size( ) = 12 s1 = 11649751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649771, s2 = 11199254, int(edited[s2]) = 0 s1 = 11649771, s2 = 11199254, d1 = 11, d2 = 13 Dl.O(d1) = 261124461 Dl.O(d2) = 273174344,272277692,256555588,39506800,36718499,28225179,28225178,36718497,36718519,28225202,21029253,15104495,10417907,6867718,4310345,2577384,1484520,839727,839729,1484524,1895230,1081704,1081703,1895228,3231541,3016591,3016592,4993150,7866289,11781750,16847363,255452256,9403902,9403903,9906970,9906969,14403731,14403681,9907262,9907263,14404115,14403736,9907005,6511346,4080326,2441562,2441563,4080331,6511353,9907017,14403802,20090316,26978783,26979213,20090711,20090710,254327106,14404126,9907248,6511511,6511512,9907250,10591369,15335077,11075657,7344050,7344049,11075653,9907361,6511572,4080475,2441638,1411920,803335,455202,256529,256528,455197,455207,455208,803344,1411934,2441661,4080503,6511527,9907274,9755553,7344070,4638636,2793985,2793984,4638630,7344058,11075670,15958607,255883833,25335861,25335859,25335860,33065327,28691457,21440648,15445275,10678491,10678490,15445274,21440645,28691452,37216386,35062486,35062485,35360511,27237831,268179039,4129036,4129037,6590754,10028406,14573830,20307887,27237841,35360525,44784288,55691527,58191758,58191759,70904524,84460832,70904525,58191761,46825703,36947709,28447724,21221474,21221475,257233430,10052237,255345061,14599746,10045955,6601635,4135737,2473920,2473910,2473911,4135723,4135675,4135677,6601512,10045724,13930025,19464721,26165183,28135796,20957770,15048829,15048828,20957766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649771, s2 = 11199254, dlinesl.size( ) = 8 s1 = 11649791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649791, s2 = 6930693, int(edited[s2]) = 0 s1 = 11649791, s2 = 6930693, d1 = 12, d2 = 4 Dl.O(d1) = 261163450 Dl.O(d2) = 255577158,41702408,260246467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649791, s2 = 6930693, dlinesl.size( ) = 18 s1 = 11649799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649799, s2 = 16295626, int(edited[s2]) = 0 s1 = 11649799, s2 = 16295626, d1 = 20, d2 = 19 Dl.O(d1) = 261189022,257075746,268257320,17595918,23940065,31431222,254597266,36622004,46488629,52771126,53730287,46579316,46579314,258641739 Dl.O(d2) = 262142369,264711773,265044882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649799, s2 = 16295626, dlinesl.size( ) = 22 s1 = 11649849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10901667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11650015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650015, s2 = 11234694, int(edited[s2]) = 0 s1 = 11650015, s2 = 11234694, d1 = 20, d2 = 22 Dl.O(d1) = 261609653 Dl.O(d2) = 256638918,27977232,22055939,15952228,11070613,7340644,7340643,4636803,2792999,1620105,921366,921365,1620103,2792993,2791601,2791600,4634203,7336387,11064603,11066856,11066857,15937343,11069696,11069697,15951164,11079654,11079652,11077681,11077680,15946647,11066037,10257884,10257885,14917670,11076444,7344640,7342515,7342514,4641021,4641022,7347982,11081200,11070863,11070862,15160942,15160943,15963243,15952514,11070857,7340825,4636797,4636796,7340821,11062374,7334968,7334970,11062378,7346458,4640053,2794755,2794754,1621034,921820,519678,291357,291358,519684,921842,921215,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793951,4638355,254349165,1620572,1620573,2793858,4638364,7343666,254996229,10257989,11078303,7345865,4639701,2794559,1620917,1620916,2794557,4639698,7345863,11078299,15961873,14024099,14024100,19576517,22273688,16131613,14511810,14511812,20223324,21977231,21977228,29304844,29262378,28453968,21226852,15256529,15256527,21226845,15962457,15962458,16131512,11206053,7435533,7435534,11205375,16130586,21976665,21976667,21425631,15433576,10669563,10669560,14184938,19803218,21974727,15880453,11008383,11008382,15880450,21974723,29302047,25537201,19852363,19852364,26668422,34660934,256197972,37873624,257495427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650015, s2 = 11234694, dlinesl.size( ) = 24 s1 = 14092743, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11650165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650165, s2 = 14142012, int(edited[s2]) = 0 s1 = 11650165, s2 = 14142012, d1 = 15, d2 = 5 Dl.O(d1) = 274016714,265440089 Dl.O(d2) = 231743925,274674861,234117841,266615312,265930618,265642018,265295444 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650165, s2 = 14142012, dlinesl.size( ) = 30 s1 = 11650267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650267, s2 = 11489884, int(edited[s2]) = 0 s1 = 11650267, s2 = 11489884, d1 = 9, d2 = 6 Dl.O(d1) = 263055453 Dl.O(d2) = 205830410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650267, s2 = 11489884, dlinesl.size( ) = 14 s1 = 11650315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11650415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11650461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650461, s2 = 11658554, int(edited[s2]) = 0 s1 = 11650461, s2 = 11658554, d1 = 11, d2 = 13 Dl.O(d1) = 262467914,160260191,148012355,148012356,262505445,180194079,170028985,170028986,173745850,173745849,180194075,175848258,165126134,153314943,261147082,114177905,100147532,86184612,72586914,59848958,48458248 Dl.O(d2) = 29977115,22610329,22610328,16572032,11553068,11553070,12607076,12607075,16401332,11563947,7696590,4871004,2935267,2934825,2934826,4870275,2935256,2935257,4870987,7696557,11563904,7727904,7727906,11272533,11272534,11551961,7686126,7686125,4866419,2932402,2932401,4866418,7690153,11280782,11280781,12606073,11622560,254631749,5764291,4799138,4799139,4861708,7683646,9491966,6260411,6260412,6812838,7581556,4795385,2934186,1701713,967366,967362,1701696,2934123,4869236,7593084,4803050,2894903,2894905,2901578,4814760,6812953,7595525,4804574,4804573,7595519,11426380,7608387,7608388,7597195,4805726,2896375,2896378,4805731,7367714,5965896,3730686,2233564,1295277,739290,739289,548003,548002,973286,1712750,2953584,2949794,1710692,1710693,2949800,4894754,4818526,4629700,2789089,2789091,254521377,4813160,254786755,268230329,29977117,38546005,48458249,59848959,71302812,58570793,47181857,47181856,50257353,58570794,58570790,58570792,71302811,84877367,71302801,58570782,256538274,58570798,58570797,71302814,84877370,98806122,112798789,112798783,112798782,270909080,152708742,164547952,175313167,184866675,184866680,184866681,175313182,175313181,273390044,211423516,211423509,206419788,206419789,206419803,200370235,200370236,206419804,211423523,215513896,211888403,211888404,215910037,215910077,264616416,201009456,193944318,185698796,176244978,165567785,260844788,127753692,260248902,153785730,261949828,165567797,176244988,273226112,273439014,193944313,201009447,206966960,211769088,206825793,200843966,193755967,273988558,211769090,211769095,211769094,215808556,264752942,200843960,193755962,185489933,185489932,185489939,176017717,165324456,153532223,140855175,127498315,127498316,140855178,153532222,140855180,127498317,113625595,113625594,271167069,85661598,72074387,59340249,59340250,72074389,81015678,67546056,55202276,257901773,259151521,99611149,259151523,67546064,81015686,81015681,72074390,258522205,67546063,59340248,55202280,55202281,59340255,258739057,95074661,99611156,85661605,85661604,81015682,81015683,85661607,85661608,99611160,113625605,123520769,109329314,109329315,123520771,137251120,150291557,262077735,150291555,162427637,165324460,153532226,140855181,140855182,140855183,262224353,263141513,173470490,173470485,173470486,263428753,176017723,185489942,193755973,273958427,205468554,263795293,191853078,274097098,214848565,265135129,264919621,274168423,218319700,218319701,221237497,223737091,224530365,222129883,219334078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650461, s2 = 11658554, dlinesl.size( ) = 8 s1 = 11650765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650765, s2 = 11202994, int(edited[s2]) = 0 s1 = 11650765, s2 = 11202994, d1 = 8, d2 = 7 Dl.O(d1) = 263025690 Dl.O(d2) = 259783992,49841255,39817704,39817705,40858581,32087765,32087766,268061906,268489127,19844962,26659122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650765, s2 = 11202994, dlinesl.size( ) = 12 s1 = 11650815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650815, s2 = 11304784, int(edited[s2]) = 0 s1 = 11650815, s2 = 11304784, d1 = 3, d2 = 10 Dl.O(d1) = 263877157,206673092 Dl.O(d2) = 211632515,264768434,264975205,274272520,193556812,185257327,175744017,261143310,140507822,128461645,114577530,100546781,100546780,114577529,270830990,270850540,86442449,72847980,60111632,60111631,72847979,256961012,79321914,65958150,255479534,43367540,41693529,259002039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650815, s2 = 11304784, dlinesl.size( ) = 12 s1 = 11650817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10932582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10932582, s2 = 11650818, int(edited[s2]) = 0 s1 = 10932582, s2 = 11650818, d1 = 0, d2 = 0 Dl.O(d1) = 11616149,268094805,11616158,11616165,255119539,22876396,16648134,16648135,11616166,255119541,7736389,4898360,4898361,269870390,38859114,48779328,60173858,72910855,86507394,100465321,114489744,114489745,260643631,114489746,272898456,100465320,260643633,141712566,272875779,176742403,263526211,175838447,262211513,153300182,165113778,175838454,185343362,193635204,185343390,274149946,175838444,165113773,153300181,153300180,165113772,165113832,175838514,185343249,263130947,165113854,175838533,185343420,185343357,175838449,165113775,262691649,175838443,185343349,193635034,185343352,175838445,165113773,273115709,175838363,165113715,153300140,140620173,262211509,165113832,175838514,175838348,165113704,165113707,165113858,153300236,153300234,262691635,185343248,193635089,193635091,193635092,193634963,263130937,165113774,165113778,175838453,263526177,175838364,175838362,185343258,185343277,175838375,175838374,263883581,185343276,175838375,175838374,175838441,165113769,165113770,263130935,165113850,165113849,175838342,175838341 Dl.O(d2) = 11616149,268094805,11616158,11616165,255119539,22876396,16648134,16648135,11616166,255119541,7736389,4898360,4898361,269870390,38859114,48779328,60173858,72910855,86507394,100465321,114489744,114489745,260643631,114489746,272898456,100465320,260643633,141712566,272875779,176742403,263526211,175838447,262211513,153300182,165113778,175838454,185343362,193635204,185343390,274149946,175838444,165113773,153300181,153300180,165113772,165113832,175838514,185343249,263130947,165113854,175838533,185343420,185343357,175838449,165113775,262691649,175838443,185343349,193635034,185343352,175838445,165113773,273115709,175838363,165113715,153300140,140620173,262211509,165113832,175838514,175838348,165113704,165113707,165113858,153300236,153300234,262691635,185343248,193635089,193635091,193635092,193634963,263130937,165113774,165113778,175838453,263526177,175838364,175838362,185343258,185343277,175838375,175838374,263883581,185343276,175838375,175838374,175838441,165113769,165113770,263130935,165113850,165113849,175838342,175838341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10932582, s2 = 11650818, dlinesl.size( ) = 2 s1 = 10932582, s2 = 11650818, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10932582, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 11650883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650883, s2 = 14142239, int(edited[s2]) = 0 s1 = 11650883, s2 = 14142239, d1 = 1, d2 = 10 Dl.O(d1) = 263951083 Dl.O(d2) = 274563745,231587993,231587994,274563743,226805994,226805995,265743925,224746230,222373966,265417923,219610930,216340169,212396591,212396590,216340168,219610932,222373964,224746226,226805996,228603330,266136539,233985633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650883, s2 = 14142239, dlinesl.size( ) = 12 s1 = 11651013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10582011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11651245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651245, s2 = 11272980, int(edited[s2]) = 0 s1 = 11651245, s2 = 11272980, d1 = 1, d2 = 2 Dl.O(d1) = 264746769,206726654,200729139,263525079,175822348,165096802,153282985,140602881,140602880,153282982,165096796,263882505,264202565,200729112 Dl.O(d2) = 200729136,206726652,265172290,193621422,263882511,193621441,193621442,193621432,193621433,200729129,264489037,200729108,193621416,185328194,185328195,193621418,193621423,193621424,200729116,200729108,200729107,206726636,211681509,264442716,199711697,264202567,193621432,193621433,200729131,200729120,200729122,200729118,193621426,193621425,193621444,185328217,175822347,263129805,193621441,193621442,200729127,206726647,211681510,211681511,215730812,219079568,264979039,211681517,211681512,206726639,200729113,193621421,185328196,175822334,165096791,153282979,140602878,127257013,127257014,140602880,153282982,165096795,175822340,185328206,193621430,200729123,200729114,193621421,185328196,175822334,175822335,185328198,193621424,200729116,200729108,193621416,193621417,185328202,175822338,165096794,153282981,262690291,175822336,165096792,165096793,153282981,140602879,127257013,272180174,71872031,257489921,37813176,256860274,10977989,7266227,4582337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651245, s2 = 11272980, dlinesl.size( ) = 2 s1 = 11651245, s2 = 11272980, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11651245, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 4458994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4458994, s2 = 4428633, int(edited[s2]) = 0 s1 = 4458994, s2 = 4428633, d1 = 26, d2 = 19 Dl.O(d1) = 175936200,185421585,185421590,175936203,175936202,185421588 Dl.O(d2) = 224005815,224005814,224005813,265688799,265159909,224005819,274523242,218656645,264711453,199856815,192588104,192588103,199856814,273842839,192588104,184141244,174496545,163663335,151788363,261067225,111923732,97984322 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13997665, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13978582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13978582, s2 = 5024867, int(edited[s2]) = 0 s1 = 13978582, s2 = 5024867, d1 = 0, d2 = 6 Dl.O(d1) = 155937311,167549356,178017555,263636343,202195365,264571675,212753848,274213041 Dl.O(d2) = 207982356,202195368,195312508,187263032,178017558,263252217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13978582, s2 = 5024867, dlinesl.size( ) = 30 s1 = 4413425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15015364, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11651627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651627, s2 = 11301114, int(edited[s2]) = 0 s1 = 11651627, s2 = 11301114, d1 = 58, d2 = 1 Dl.O(d1) = 264519892,262742284,262266090,271349624,86301364,269834088,267832363,2914360,4836524,255489033,17234242,12115385,8146116,5218399,5218400,8146118,12115389,17234247,23542702,21761911,15706243,15706244,21761913,21761906,15706241,15706240,256354051 Dl.O(d2) = 58889654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651627, s2 = 11301114, dlinesl.size( ) = 54 s1 = 11495469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495469, s2 = 12360681, int(edited[s2]) = 0 s1 = 11495469, s2 = 12360681, d1 = 1, d2 = 1 Dl.O(d1) = 212569200,216489966,265239579,274256832,215893263,265146716,206937018,200971356,263812724,176188031,165512333,153736082,141069882,127719171 Dl.O(d2) = 212569200,216489966,265239579,274256832,215893263,265146716,206937018,200971356,263812724,176188031,165512333,153736082,141069882,127719171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495469, s2 = 12360681, dlinesl.size( ) = 2 s1 = 11495469, s2 = 12360681, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11495469, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12360682, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11651655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13811991, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14217528, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11651849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651849, s2 = 11236102, int(edited[s2]) = 0 s1 = 11651849, s2 = 11236102, d1 = 5, d2 = 6 Dl.O(d1) = 264918735 Dl.O(d2) = 265138688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651849, s2 = 11236102, dlinesl.size( ) = 8 s1 = 11651921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651921, s2 = 11495012, int(edited[s2]) = 0 s1 = 11651921, s2 = 11495012, d1 = 4, d2 = 6 Dl.O(d1) = 265402422 Dl.O(d2) = 266137946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651921, s2 = 11495012, dlinesl.size( ) = 12 s1 = 11651935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13980894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652017, s2 = 11359376, int(edited[s2]) = 0 s1 = 11652017, s2 = 11359376, d1 = 20, d2 = 32 Dl.O(d1) = 274234884 Dl.O(d2) = 199396512,192041380,192041382,263647462,210767930,214972836,210767922,205619985,205619984,274352152,272875396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652017, s2 = 11359376, dlinesl.size( ) = 38 s1 = 11652037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652037, s2 = 11260762, int(edited[s2]) = 0 s1 = 11652037, s2 = 11260762, d1 = 37, d2 = 16 Dl.O(d1) = 265181172,264736954,274269858 Dl.O(d2) = 268008047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652037, s2 = 11260762, dlinesl.size( ) = 20 s1 = 13981630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13981630, s2 = 8621795, int(edited[s2]) = 0 s1 = 13981630, s2 = 8621795, d1 = 15, d2 = 3 Dl.O(d1) = 265712916,265430243,274272864 Dl.O(d2) = 262211904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13981630, s2 = 8621795, dlinesl.size( ) = 8 s1 = 10504570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652547, s2 = 11424254, int(edited[s2]) = 0 s1 = 11652547, s2 = 11424254, d1 = 9, d2 = 0 Dl.O(d1) = 266038126 Dl.O(d2) = 216860082,264589330,202552109,195737329,263631698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652547, s2 = 11424254, dlinesl.size( ) = 2 s1 = 11652547, s2 = 11424254, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11652547, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11652573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10722933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652805, s2 = 10427348, int(edited[s2]) = 0 s1 = 11652805, s2 = 10427348, d1 = 10, d2 = 13 Dl.O(d1) = 266372998 Dl.O(d2) = 273954663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652805, s2 = 10427348, dlinesl.size( ) = 20 s1 = 10757007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652843, s2 = 11483324, int(edited[s2]) = 0 s1 = 11652843, s2 = 11483324, d1 = 20, d2 = 1 Dl.O(d1) = 266349542,231175744 Dl.O(d2) = 215413408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652843, s2 = 11483324, dlinesl.size( ) = 22 s1 = 15033108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13983771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14217648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652911, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11652927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652927, s2 = 10475616, int(edited[s2]) = 0 s1 = 11652927, s2 = 10475616, d1 = 42, d2 = 36 Dl.O(d1) = 266510826,235809088,235809087,266665239,237474791,236680619,266663911,236663040,236663039,236680626,235809124,234852020,233801112,233801113,234852022,235809127,266510834,235809122,235809121,236680622,237474762,238196038,238853048,266663914,238196055,237474809,236680641,236680639,235809146,266423316,237474807,236680657,235809164,266423320,236663031,235789309,234829928,233776780,266225062 Dl.O(d2) = 266744820,238966896,239561530,239561529,239561530,266863886,240110538,240110540,240110539,240110540,239561528,266678628,237608882,236827118,235967223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652927, s2 = 10475616, dlinesl.size( ) = 34 s1 = 11652941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652941, s2 = 11635890, int(edited[s2]) = 0 s1 = 11652941, s2 = 11635890, d1 = 29, d2 = 37 Dl.O(d1) = 266679176,266864262,267011636,243417041,274973593,245139619,274984042,267280204,267011640,241716438,241291152 Dl.O(d2) = 236343192,266349174,239230844,239806184,267145235,243123238,243417043,267358311,275039941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652941, s2 = 11635890, dlinesl.size( ) = 20 s1 = 9635590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10820842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13984329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11653063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653063, s2 = 11064000, int(edited[s2]) = 0 s1 = 11653063, s2 = 11064000, d1 = 5, d2 = 2 Dl.O(d1) = 266968323,274822338,222172406,265286676,261957364,114348745,261208315,262268643 Dl.O(d2) = 100321969,86362244,72765352,258385700,16541317,255795241,15036003,10363697,6827000,4283005,2560683,2560684,4283007,2571358,1480386,1480387,2571361,4300798,4284522,4284523,6829309,10366615,6841679,4292907,2566616,1477834,835479,470870,470871,835482,1477842,2566637,4292939,5951105,3721577,2228387,1292361,737608,419226,419223,737601,1292348,2228362,1399948,796830,796831,1399909,1062028,597089,332808,183213,183214,332789,596603,596604,909433,254345229,7273084,10987350,255438109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653063, s2 = 11064000, dlinesl.size( ) = 2 s1 = 11653063, s2 = 11064000, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11653063, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11653099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653099, s2 = 11532080, int(edited[s2]) = 0 s1 = 11653099, s2 = 11532080, d1 = 22, d2 = 0 Dl.O(d1) = 266732890 Dl.O(d2) = 226499555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653099, s2 = 11532080, dlinesl.size( ) = 30 s1 = 11653305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11653359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14217724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10656829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11653639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653639, s2 = 11619750, int(edited[s2]) = 0 s1 = 11653639, s2 = 11619750, d1 = 20, d2 = 12 Dl.O(d1) = 275024847,275026873 Dl.O(d2) = 267312960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653639, s2 = 11619750, dlinesl.size( ) = 28 s1 = 11653645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653645, s2 = 11637968, int(edited[s2]) = 0 s1 = 11653645, s2 = 11637968, d1 = 13, d2 = 11 Dl.O(d1) = 267487575,267523285 Dl.O(d2) = 267545457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653645, s2 = 11637968, dlinesl.size( ) = 8 s1 = 11653825, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11653829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653829, s2 = 16135035, int(edited[s2]) = 0 s1 = 11653829, s2 = 16135035, d1 = 4, d2 = 7 Dl.O(d1) = 277126,494344,267764519,2664711,2881952,4782630,4782792,4782793,7564078,11319877,7516421,4751597,4751596,7516419,4782824,2882064,1672328,1672327,2882061,4782820,7516513,7517651,7519748,5178658,5178659,7519105,7519031,4753486,4753485,7518329,7518331,4753920,4753919,3159698,3159697,4548167,2734040,1662644,945995,945993,1662635,1662996,946181,946178,1662986,2864936,1662813,1662815,2734017,2734012,4548128,7218566,7517653,4752457,254534223,7519518,11323180,16281135,11322310,11322309,15456887,11322826,11322827,15759925,254749975,7218145,10914381,15759922,21827800,17107854,17107853,15759392,11323030,7519370,7519371,11322833,9755454,6414386,6414385,9755452,14191223,13554989,13554990,18994643,15759503,15759504,21827421,29134558,22449432,22449433,16792224,16792223,23036508,23968660,23968661,31464349,39236588,31464357,31464356,32201197,40981222,255724346,59185105,47785317,47785318,59185106,71924285,85511672,99457570,113467757,127337400 Dl.O(d2) = 141451489,128086574,114200150,269007048,16440901,256965889,59871093,270818860,37506018,256345972,15641194,15641193,21680599,20440760,20440761,27415639,27662210,20601438,20601437,27662202,27620597,27620598,20582673,14763969,14763970,256253873,45573808,56659867,272488787,72994685,259432641,114586374,272534618,141825502,154470311,166202032,263582671,201415014,207320379,212189704,216167207,219462962,222246864,224636298,226711333,228520274,230109703,231520556,232785404,233928512,233928511,233928512,233820243,232666522,265996033,228360119,226531708,224433270,222017265,219203583,215869938,211839465,206905548,200932850,193853389,185595767,176133825,165454669,262233761,141010407,127662369,113794262,99780228,85826882,72234451,269339651,29632808,22280756,16137116,11209891,7437942,4699870,4699869,7437941,11209890,16137113,11209888,7437940,7437939,11209886,255343343,11209889,11209890,16137113,11209888,7437940,7437939,11209886,10034098,6594338,4131310,2471308,2471307,254295421,1275649,729733,729738,1275661,2195772,1722013,1722011,2968211,4922115,7768620,11657199,11869777,13199956,18575027,23453258,30885158,256204808,87187006,258509114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653829, s2 = 16135035, dlinesl.size( ) = 2 s1 = 11653829, s2 = 16135035, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11653829, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16135036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11653847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653847, s2 = 14077858, int(edited[s2]) = 0 s1 = 11653847, s2 = 14077858, d1 = 26, d2 = 33 Dl.O(d1) = 1539455,267824977,7042126,10663160,15424755,21414183,28658514,258054415,84739843,87658707,259251306,17300952,17300951,23614063,257049461,270272398,8929850,8929852,5828433,3636811,3636812,5828435,8929858,13102751,18445179,24963719,32632947,41518347,259618189 Dl.O(d2) = 60489483,49086428,39156793,30559577,258198405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653847, s2 = 14077858, dlinesl.size( ) = 34 s1 = 12028546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12028546, s2 = 15244572, int(edited[s2]) = 0 s1 = 12028546, s2 = 15244572, d1 = 121, d2 = 123 Dl.O(d1) = 5059032,3314777,3314778,5390607,7171687,4517446,4517445,3075968,3075965,2714810,1573000,1572999,2714802,1786904,1786906,3065430,1786883,1018885,1018884,1786879,3065416,3070787,5043163,3066489,1787490,1787491,1788315,1788314,3067722,5063102,7439670,7439671,5092739,3090681,3090680,5092737,7960499,5063659,5063658,7960496,11902507,11896539,7955305,5059925,5059924,7955303,8298529,5353527,3290312,1934932,1934933,3290317,5353537,8298555,11810236,11810234,16880497,21309790,21309787,28532475 Dl.O(d2) = 268220003,7333606,4632686,2790807,2790808,4632689,7333610,7344338,4638805,2794076,2794077,4638807,7344283,4638770,4638772,7344288,11066036,10257884,10257885,14917670,11076444,7344640,7342515,7342514,4641021,4641022,7347982,11081200,11070863,11070862,15160942,15160943,15963243,15965184,15965186,22055065,22051202,22051203,29381391,256920429,30355696,22953837,16717236,11675480,7784362,5063960,3242351,3242352,5291004,254521345,2788875,2788872,4629460,7328593,7960715,7570111,7570110,5063946,3068323,1892151,1562573,888324,888322,1562545,888742,509754,285753,285754,509761,903836,914331,516003,516004,914315,1607192,2771315,4604989,7300521,5273289,3227575,1892428,1079955,1079958,1618053,1618048,2788902,2788693,1617904,1617906,1875381,1875380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12028546, s2 = 15244572, dlinesl.size( ) = 38 s1 = 11653893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989705, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11654015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654015, s2 = 11065362, int(edited[s2]) = 0 s1 = 11654015, s2 = 11065362, d1 = 34, d2 = 19 Dl.O(d1) = 268434186,21789795,15731816,15731817,21789797,25572994,25572996,268104092,8367555,5400373,3320428,3320429,5400375,8367558,12382794,17402902,12399818,12399822,8380272,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,10950299,10950413,10950410,14451285,9942248,6534521,4094314,4094315,6534524,8403040,5422353,3333316,3333314,5275121,5275123,5341698,5341697,8278977,12258753,17395418,23719275,23854653,17511745,12348605,10590795,10590796,15334313,12380599,8386628,5411866,5411865,5023870,5023872,7903324,11543521,7679859,7679861,7787349,4937090,4859536,4859539,7679750,8375835,5405550,5405552,8375846,5409047,3325287,1955768,1955766,3325277,5409025,8381699,12402255,13515637,13515643,13515647,16194221,16194223,17402776,17402774,17400760,17400758,17404057,17404056,23724627,17403000,17403001,23726903,17403617,12264851,8282627,8282628,12264854,12382588,12382587,17553025,15847991,10983116,10983117,15847993,21935530,29256251,29784376,29784377,31190551,36760521,28264659,28264660,28264654,21062055,21062056,28264656,23719607,254495300,21197169,18889801,255667027,18935212,18935211,19877170,14241631,9790163,6436246,6436247,9790153,255318737,23099982,21128302,15179911,10470442,7358046,4647942,2799705,1624072,923482,923481,1624070,2799702,4647935,7358039,11094682,11094489,11094488,15981336,22087313,22087314,22087468,15981012,11094243,7357744,7357745,11094246,15981016,22087475,22087321,22087323,22087458,15980998,11094234,11094233,15980979,11094217,7357726,4647745,2799586,2799583,254523141,11094207,15980963,22087427,29417982,33654009,268046186,22894407,17914855,17914856,24297412,18978902,17121864,12032339,12032340,17121868,16869886,11800863,7881660,5005226,5005224,7881656,9691997,6417249,6417250,9760130,9760464,9760463,14085814,14085815,12638320,12638322,14091554,14091555,11443690,7609991,7609989,11443682,16428435,19653156,17122614,12032880,8089377,8089375,12032871,16422371,18330403,13011948,8859012,8859013,7682647,4861123,4861124,7682655,9692957,9695063,9695060,14096076,12034669,12034667,16566486,17766078,17766077,22786196,16570416,11551491,11551492,16570418,22786197,23393276,30821588,27957340,20795808,14903123,10246839,10246841,12032721,12032722,17122379,23394134,21103911,15159197,10454361,7911489,5029459,5029461,7071680,10703941,11838040,15239729,15239730,20795324,15872998,15872999,21967010,29294002,37863277,37027872,28529860,21307471,15337705,10593321,6988152,4391210,2631039,1519243,861403,861402,1519242,2631037,4391206,6988143,10593305,15337687,17336184,16472502,16472503,17811449,15337440,15337441,21307026,28351976,28351975,36849589,31360538,31360539,28885761,21609751,15580827,15580826,15337501,15337500,18789346,18789348,25374187,33109462,25374150,18789316,18789317,25374151,256637895,28529690,37027699,46904979,49761933,39743282,38592679,30020047,30020048,31178759,255824553,15337593,10593248,10593249,15337595,21307294,28529645,31252555,23768377,23768376,31252553,255809775,21124648,28336768,31368419,31024801,23543390,23543389,31024800,39701933,37027365,28529339,28529340,28352460,23442546,21306920,21306919,28529163,37027190,31046952,23563002,17252059,12132492,8162688,5232552,5232553,3205617,3205618,5247627,8178028,12148394,12148395,17269280,21138230,28352102,31065287,23581395,17269317,17269316,23581392,31065280,37027813,37027814,31140752,31140749,28529216,21306954,21138333,15187726,10832666,7160802,4510052,2710084,2710088,4510070,7160830,10832720,15650663,21690362,24844779,32486867,28352488,21138528,21138527,25256772,18789312,18789313,19836015,25320766,28351707,28351708,24587790,18143220,18143217,18143294,12865750,8749666,5696675,3544515,2110585,2110587,2110629,1216080,686695,686696,1216081,2110631,3355924,3355923,5458450,255187571,23994600,30703505,256230076,31179720,31179721,31179768,23690960,17368364,17368363,23690957,31180699,31179690,31179687,39862217,48003994,48003995,38951110,31178876,31024770,255337258,17234929,23543364,24300198,24300200,24306676,17922504,12698571,8627154,5609605,3483986,2068614,2068613,3483980,5609592,8627127,12698533,17922442,24306567,31823296,24589019,18144088,255614573,32175297,25320721,25320720,33049119,37010766,34984878,26904594,20021565,16770158,11724632,11724633,16770176,18144060,18144061,20195739,20195737,23866585,17522511,12357153,12357155,17522514,23866588 Dl.O(d2) = 5093459,5093458,8000899,8353141,5391574,5391572,8352689,8352690,11872162,11876883,16965006,12012528,10585102,7957321,5061232,5061233,7957326,11898872,7984612,7984611,11887750,7955252,7955253,5067495,5059532,3065337,1786839,1018869,574183,321444,321446,574189,1018881,1786873,3065404,5059330,7954485,11895598,12005065,16990137,11929022,7982374,7982375,7935678,5046199,5046198,5050197,3059814,1783773,1017313,254103003,321091,573407,1017323,1783797,3059858,5050278,7940980,254567580,5164067,3146845,3146844,3075977,3075974,5073009,7972405,11885561,7946214,5053389,5053387,7946211,5074296,5074295,7974047,11919451,17006083,17015667,16965468,11910557,7967034,7939515,5049409,254562489,11876573,12144154,8173857,8173858,11952134,8000902,8000901,11952130,17038169,23250425,22548469,16372208,11393991,7570299,7570300,11393993,7937936,5048098,3058203,1782598,1782602,3058210,5048109,7937959,7991900,5086874,5086873,6153692,3850318,3850317,6153687,9393181,10720079,7966392,7966390,9776107,6427915,4032740,4032741,5254386,8184808,11888908,7948780,5055102,3062446,1785134,1017947,1017949,1785136,3062450,5055112,7948801,7965423,7965422,11908508,8348971,8348972,5390829,5390830,5052959,5052964,7945446,11884616,8045960,8045963,267838682,7977980,11924007,17010114,19535800,17025926,11940779,11940778,17025923,23285244,23755407,254823076,21775885,16991420,12154278,11901150,11895419,7954337,5059224,3065159,3065161,267783294,11895422,16981821,20145763,20145762,27038671,21591840,21591839,16290869,11333971,11333975,9901448,9901450,14395312,10766336,7113463,4478764,2690949,1558908,1558911,2690942,4478743,7113412,7532521,4764945,4764946,7532507,7532503,11334132,7702328,4874702,2937341,1703346,1703347,2724880,2724879,4533010,7195310,10882567,15719389,21778523,21663063,15627353,10813776,10813775,7175121,7175122,10853007,9869901,6483641,4872118,4872119,7698099,11565804,14382857,13906301,9543934,6261789,6261788,9543933,13906298,19434653,16591888,16591889,20064392,14380248,14380249,20064393,255956476,16919915,16014254,11118701,11118700,14355565,9876614,9876613,14370684,255526799,21190461,20069547,14385844,9891375,7697619,6485345,6485346,9872107,268336553,29950919,22587240,16404665,16404666,22587242,29950922,257184098,31813108,31813106,40509011,50544689,257066108,268977920,24117482,24117481,31622929,33105236,25370345,18786237,13380613,9146100,5985244,5985245,9146102,13380617,18786243,256122181,33105527,269497717,46904587,40161969,31477382,31477381,37706887,44362878,34985038,268824863,43034528,43034527,39861828,255255800,26904842,26904843,22382560,22382562,23035284,23035283,29741472,38310006,267898342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654015, s2 = 11065362, dlinesl.size( ) = 2 s1 = 11654015, s2 = 11065362, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11654015, Dl.E( ) = 36, 2.19e-05 seconds used appending s1 = 11654025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654025, s2 = 14124220, int(edited[s2]) = 0 s1 = 11654025, s2 = 14124220, d1 = 4, d2 = 9 Dl.O(d1) = 268489979,25390358,25390355,256123435,42076265,52420442 Dl.O(d2) = 105569569,119807392,119807391,105569564,91348444,258398221,258398223,91348447,260269069,105569570,119807394,119807390,105569563,91348443,91348441,260269065,133682978,261969247,263343705,180813136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654025, s2 = 14124220, dlinesl.size( ) = 8 s1 = 11654089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654089, s2 = 11660908, int(edited[s2]) = 0 s1 = 11654089, s2 = 11660908, d1 = 13, d2 = 11 Dl.O(d1) = 269041230,23467116,17187202,12085199,12085200,17187205,23467120,30900977,30900984,23467125,17187208,12085202,8126976,267840193,3176549,5206628,8126980,8127056,5206680,3176576,1859532,1859533,3176580,5206690,8127068,12085343,17187440,17470118,23803206,256517167,39508686,39508685,49439864,39508708,39508707,31031413,23550288,23550287,31031412,39708365,49726909,60841748,60841749,61259983,61259982,73591186,258287495,258088390,73591301,60841728,60841727,73591300,61259963,49781052,39762000,36547753,36547752,46409321,49439949,49439947,39955986,31281134,23795106,17462897,12311031,12311032,17462898,256011539,31281090,25827933,25827932,33630025,31443002,23951532,256023881 Dl.O(d2) = 269092116,58484421,58484420,61475600,64569902,64569903,77752434,91679231,105886030,105886031,259503182,107649285,259731843,79130629,65775307,53717847,43205491,43205490,53717845,65775305,79130628,93246384,107649284,121371904,107075384,92735978,78672989,65368275,53364399,42898257,33853231,26031991,256168333,17827260,12622612,12622613,17325593,17325594,12578503,8531942,5530127,5530126,8531938,10810357,10810356,15624112,21660232,24030633,31532749,40218615,47738483,37816087,37816088,47738487,38222443,29656495,29656496,23582696,23582697,31066859,39744955,48057675,49763484,50238765,47998650,38086647,38086646,47998648,59387351,60679965,60679966,71650678,59387323,59387324,57526922,46211564,46211567,57526924,70194052,59519797,48132550,48132551,47378598,38225524,29659373,29659374,24054882,24054881,31559624,31559627,40245988,50265655,49930591,39912105,36382079,27937721,27937720,31559629,28223743,28223742,30192837,22802629,22802630,255263234,32720647,25034018,25034017,29721284,29721285,38287701,32719939,25033298,25033297,28495535,28495534,36993000,36821430,28326152,28326151,23883978,23883980,31381006,40063802,38287687,38287688,36908784,28411408,28411407,268528208,50085234,60715400,60715401,55384747,52550615,42191954,42191955,51288512,62963768,59943055,48550841,48550842,38636442,38636443,35161786,35161788,39050161,35161784,35161783,39385989,30783944,23359005,17090390,17090389,23359001,18880699,18880698,25483243,33231831,42191968,35161805,27074927,20178926,14478002,9961549,6547073,6547072,9961546,14477997,20178913,27074908,30884097,30884096,30686101,30686100,35161723,30783979,30783980,39385935,39385936,49313565,39490910,30884583,30884584,39490911,31821375,24304906,24304905,31821372,28222956,28222957,36715712,28222917,28222918,36715717,46603842,36715748,28222940,21027559,15103283,10417110,10417109,15103290,12076444,12076445,17175586,23452601,29822795,29822794,38395158,48305751,49420702,46603934,36715810,36715809,36716103,36716145,28223223,28223222,36716142,39491058,39491057,49420530,49420576,42013568,38271090,38271088,38395150,38395151,32298656,32298654,40518184,31821383,24304910,17921140,17921141,24304912,24687306,18220155,12923259,12923258,18220161,24687319,24687043,18219985,12923153,12923152,12923428,12923429,18220450,24687682,32298736,255662353,13416716,9173417,9173418,13416718,18219991,12923161,12923162,8791242,5726191,5726190,8791239,12923227,18220113,18219733,268012855,8791091,8791358,8791357,12923442,18220223,24687402,24687719,18220478,12923453,8791364,5726259,3565205,3565204,5726257,8791362,12923450,18220471,24687711,32298757,41109123,51288813,62963893,52307094,41966694,33023838,33023839,33023846,41966706,41966652,41966653,48160081,41966702,41966703,48323117,38411536,38411535,48323113,44805912,35381327,35381325,44805907,55712635,47928148,38013971,38013972,38274587,29707929,29707930,31284214,23798103,17465695,12313509,8317371,5367078,5367077,8317369,268111079,13075768,8910263,8910264,13075770,17465686,254900909,8910369,13075953,18409127,24915403,32568112,33321250,25559328,25559327,33321248,32568104,24915399,24915398,32568102,38071648,47983698,39213738,30616980,23196212,23196213,30616984,39213744,39943755,39943754,36944489,28444946,21219012,21219014,28444953,23783842,17453582,17453580,23783836,28020088,36481379,31269094,23783916,17453626,12303841,12303842,17453629,23783925,31269104,31269124,24066765,17711013,12528554,12528555,15952148,15952147,22055817,29385803,37950357,47868439,40259947,38994708,30405383,23196574,16928467,11848042,7918824,7918823,11848038,16928459,23196280,22007138,15906270,11027868,7302264,7302262,11027862,7918789,7918791,11847971,16928331,12359477,12359476,9169910,9169909,13411694,18824216,25415476,268296064,25415897,18824610,18823990,13411503,13411502,9170163,6001970,6001972,9170170,13412061,12312983,9768623,6422685,6422684,9768631,14209814,19835432,23797350,22247852,16110291,16110290,19835419,14920073,14920072,18824003,13411511,11226783,11226782,16158924,18823775,21356278,268382472,22301259,16155675,11224349,11224350,16155681,16156717,11225164,11225163,16156710,22302296,25415459,25415457,29652315,29652313,27980638,20816697,14919991,13412048,13412049,18824617,22302326,16156737,16156738,20215054,20215055,27117752,20816797,14920067,14920066,18823755,18823756,16110270,11190331,7424907,4691915,4691913,7424902,11190320,16110299,22247862,255901586,48076287,49395873,39467409,30863479,28148319,23759513,23759514,19099116,19099117,25731480,31243988,31243987,39919644,49937551,47169661,37263679,28731506,28731507,33510601,42510057,49395869,49395870,60796539,73543575,87161954,101159927,115237415,129168629,142545199,155188791,166880640,177425688,263179308,194849034,201790412,207633364,212451022,216390557,219657438,265213082,226840507,228632687,230208611,231608162,232864049,234001381,235037663,235980697,236839018,237619039,266672178,239567401,240115954,240624479,240627670,240119414,239571020,238977790,238332934,237624353,236844734,235986801,235043887,234007873,232870978,231615565,274564519,228641919,226850859,224796607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654089, s2 = 11660908, dlinesl.size( ) = 14 s1 = 15156802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15156802, s2 = 11025580, int(edited[s2]) = 0 s1 = 15156802, s2 = 11025580, d1 = 1, d2 = 1 Dl.O(d1) = 17674401,17674402,24019007,17670171,12495442,12495443,17670179,24019026,22651452,22651453,30024249,29479266,29479267,31526438,31526437,31526515,31520891,31520890,24024665,24024666,29479303,29479304,31526490,31529173,24026962,22104347,15993720,15993723,22104354,24024649,24018941,24018942,24023601,24024546,24024543,17674556,12498809,12498808,15988994,12498848,12498849,15993683,22104299,16024260,16024259,22141909,29429092,29429091,254187608,15991709,22101808,29429615,22141977,16024324,11126098,7379728,7379727,11099844,7361132,4649774,2800809,1624691,923966,520859,520857,923958,1624985,2801349,4650758,7362896,11102693,11101342,11101341,15991538,18710472,13317369,13317371,11100619,11100621,11099585,7360966,7360965,11099580,7362116,4650337,4650336,7361419,11100312,15990049,15989043,11099669,7362551,4650570,2801246,1624931,1624929,923944,923945,1624962,2801314,4650692,7361143,4674474,4650302,4650301,4650798,2801427,1625031,923997,520884,291991,161530,161526,291921,291923,520757,923758,520743,520742,923755,1624610,2800670,4649555,7360766,11099272,15988467,22097050,29428092,37989853,43763286,43763290,54071164,66187155,72036238,59299979,47905302,44255659,34895098,26833241,26817290,19953800,14288720,14288718,9823842,6454041,4046334,2422902,2422899,4046361,6449339,6449336,9815058,14285194,19740471,19740475,26503606,19736932,19736935,26503716,34430410,39588408,49551340,60983338,61009802,73780195,66744337,54738014,54737752,54737751,54736050,43985858,43985856,34738492,34738493,34738501,34738502,44045511,43530653,43530656,54122094,66254331,66214429,61107596,49650994,39655754,30996216,23525666,17223859,12108922,12108919,17223853,23516820,23516833,23516832,30979627,26764632,26475602,26475603,30983386,30983388,34440874,26509640,26509644,34440887,26512308,26512310,34445452,26512392,26512397,34445710,269042030,256081544,37627562,29076828,29076827,37627560,30079722,22698399,16495450,11492867,7643864,4835771,2913808,2913809,4835772,7643865,268091647,22698401,30079724,38656656,48572428,59964449,72701928,86299204,95071579,81012443,81012442,95071577,98526460,84601665,71037533,257435899,46954810,58321946,58321925,46954799,37074648,28571569,256317775,46954793 Dl.O(d2) = 17674401,17674402,24019007,17670171,12495442,12495443,17670179,24019026,22651452,22651453,30024249,29479266,29479267,31526438,31526437,31526515,31520891,31520890,24024665,24024666,29479303,29479304,31526490,31529173,24026962,22104347,15993720,15993723,22104354,24024649,24018941,24018942,24023601,24024546,24024543,17674556,12498809,12498808,15988994,12498848,12498849,15993683,22104299,16024260,16024259,22141909,29429092,29429091,254187608,15991709,22101808,29429615,22141977,16024324,11126098,7379728,7379727,11099844,7361132,4649774,2800809,1624691,923966,520859,520857,923958,1624985,2801349,4650758,7362896,11102693,11101342,11101341,15991538,18710472,13317369,13317371,11100619,11100621,11099585,7360966,7360965,11099580,7362116,4650337,4650336,7361419,11100312,15990049,15989043,11099669,7362551,4650570,2801246,1624931,1624929,923944,923945,1624962,2801314,4650692,7361143,4674474,4650302,4650301,4650798,2801427,1625031,923997,520884,291991,161530,161526,291921,291923,520757,923758,520743,520742,923755,1624610,2800670,4649555,7360766,11099272,15988467,22097050,29428092,37989853,43763286,43763290,54071164,66187155,72036238,59299979,47905302,44255659,34895098,26833241,26817290,19953800,14288720,14288718,9823842,6454041,4046334,2422902,2422899,4046361,6449339,6449336,9815058,14285194,19740471,19740475,26503606,19736932,19736935,26503716,34430410,39588408,49551340,60983338,61009802,73780195,66744337,54738014,54737752,54737751,54736050,43985858,43985856,34738492,34738493,34738501,34738502,44045511,43530653,43530656,54122094,66254331,66214429,61107596,49650994,39655754,30996216,23525666,17223859,12108922,12108919,17223853,23516820,23516833,23516832,30979627,26764632,26475602,26475603,30983386,30983388,34440874,26509640,26509644,34440887,26512308,26512310,34445452,26512392,26512397,34445710,269042030,256081544,37627562,29076828,29076827,37627560,30079722,22698399,16495450,11492867,7643864,4835771,2913808,2913809,4835772,7643865,268091647,22698401,30079724,38656656,48572428,59964449,72701928,86299204,95071579,81012443,81012442,95071577,98526460,84601665,71037533,257435899,46954810,58321946,58321925,46954799,37074648,28571569,256317775,46954793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156802, s2 = 11025580, dlinesl.size( ) = 2 s1 = 15156802, s2 = 11025580, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15156802, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11025579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11654121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654121, s2 = 14066374, int(edited[s2]) = 0 s1 = 11654121, s2 = 14066374, d1 = 1, d2 = 1 Dl.O(d1) = 260469063,97759620,83903033,270789151,106172729,91975158,91975157,106172727,269474416,64851785,52926225,50024930,50024931,50904341,40787568,32030638,24468319,24468320,18048391,18048390,24468323,22876197,22876198,22893766,255121099,7748006,4906714,2957424,2957423,4895538,2950324,1711039,1711040,2950330,4080546,6511683,9907532,13346201,9857293,6475017,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854910,7729224,4897247,4897246,7729474,7732920,11613271,7743714,4903674,2955604,2955605,4903676,4732430,2851358,2851356,4732425,7488415,11280791,7727589,4891399,2947639,2947640,2954775,4902084,4902083,4810075,4810077,7603254,7684229,7684230,7740665,11622310,15229321,11563285,7695929,6814559,4274259,2555480,2555481,4274262,6814569,10349608,11415934,7586919,6927297,4351853,2954818,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,1681134,2897186,2898788,1681923,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4817816,7614847,7743185,11272372,8323103,8323104,12322183,11611607,11611609,16429782,11449485,7687352,7483133,4729066,2849218,2849219,254531639,11272753,14341041,14341039,16405021,267978339,4801846,2894237,1679635,1679634,2894235,4801842,7591266,7608211,7588457,7588456,11417844,11426326,7595474,5683785,5683786,8730445,11439844,7685251,7685250,11426127,16401168,16417861,16417860,22601041,29965885,38531834,48440112,59826154 Dl.O(d2) = 260469063,97759620,83903033,270789151,106172729,91975158,91975157,106172727,269474416,64851785,52926225,50024930,50024931,50904341,40787568,32030638,24468319,24468320,18048391,18048390,24468323,22876197,22876198,22893766,255121099,7748006,4906714,2957424,2957423,4895538,2950324,1711039,1711040,2950330,4080546,6511683,9907532,13346201,9857293,6475017,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854910,7729224,4897247,4897246,7729474,7732920,11613271,7743714,4903674,2955604,2955605,4903676,4732430,2851358,2851356,4732425,7488415,11280791,7727589,4891399,2947639,2947640,2954775,4902084,4902083,4810075,4810077,7603254,7684229,7684230,7740665,11622310,15229321,11563285,7695929,6814559,4274259,2555480,2555481,4274262,6814569,10349608,11415934,7586919,6927297,4351853,2954818,2606324,1711115,1711117,1714456,974132,548406,548408,972421,974379,972821,972820,548461,307012,169837,93457,93459,169844,307031,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,1681134,2897186,2898788,1681923,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4817816,7614847,7743185,11272372,8323103,8323104,12322183,11611607,11611609,16429782,11449485,7687352,7483133,4729066,2849218,2849219,254531639,11272753,14341041,14341039,16405021,267978339,4801846,2894237,1679635,1679634,2894235,4801842,7591266,7608211,7588457,7588456,11417844,11426326,7595474,5683785,5683786,8730445,11439844,7685251,7685250,11426127,16401168,16417861,16417860,22601041,29965885,38531834,48440112,59826154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654121, s2 = 14066374, dlinesl.size( ) = 2 s1 = 11654121, s2 = 14066374, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11654121, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 14066373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11654217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654217, s2 = 11804058, int(edited[s2]) = 0 s1 = 11654217, s2 = 11804058, d1 = 8, d2 = 11 Dl.O(d1) = 271317054 Dl.O(d2) = 115808569,101762455,256897920,255427624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654217, s2 = 11804058, dlinesl.size( ) = 20 s1 = 11654261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654261, s2 = 15238770, int(edited[s2]) = 0 s1 = 11654261, s2 = 15238770, d1 = 56, d2 = 55 Dl.O(d1) = 272178465,259441008,21323313,16277036,11318306,11318304,15352079,15352080,21323678,16276921,11318243,11318245,7859082,7859081,11771366,16832943,15351981,10605339,255030075,21323506,256854761,48033338,38120218,29555039,29553922,22209179,255893739,32791116,25092802,255456097,7408249,7408250,11166719,16079442,22210178,22209075,16078476,16078477,22209078,29553821,38118887,48032117,59424581,72163423,75663733,75663731,71006808,257493142,59424564,48032098,48032097,59424561,72163405,61908762,50418366,270384210,47389021,47389022,58776165,258700619,92278621,78251411,64978002,60704629,49302799,269779558,23350787,23350790,30774362,39375545,41740277,49302810,257403691,36628945,28154993,28154994,257403693,46495564,57851455,57851367,57851366,46495604,46495605,46495571,36628975,28155020,20976110,15064911,15064912,16079177,11166493,11166494,16079179,255893843,256932093,258745361,99713305,113727677,272208533,272555347,260588515,99713307 Dl.O(d2) = 261165169,127596193,140945469,153612306,261165169,113727685,99713311,259988559,113727692,99713314,258745365,72164504,85759162,99713309,99713308,260588517,140945465,152736110,140045943,140045938,140045935,126698578,113727687,113727688,127596198,261713411,127596184,113727678,113727677,261165165,153612302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654261, s2 = 15238770, dlinesl.size( ) = 26 s1 = 14727791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13987876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13987876, s2 = 11251088, int(edited[s2]) = 0 s1 = 13987876, s2 = 11251088, d1 = 5, d2 = 13 Dl.O(d1) = 273299539 Dl.O(d2) = 162741523,162741522,169068215,157624718,145215623,131982174,118165579,104010071,89885222,258530968,63084633,51393171,41200710,41200711,51393172,53808063,43283167,35068326,35068325,44442308,55286234,67624108,77004991,63894361,256459098,25137896,18585516,13207372,9003227,9003231,5877852,3669677,3669680,5877854,3669678,3669680,5877854,3669678,3669676,5877229,3669487,3669489,5877261,256621773 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13987876, s2 = 11251088, dlinesl.size( ) = 2 s1 = 13987876, s2 = 11251088, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13987876, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 10939084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654507, s2 = 14051360, int(edited[s2]) = 0 s1 = 11654507, s2 = 14051360, d1 = 20, d2 = 29 Dl.O(d1) = 7213249,10053953,10053954,14611329,20355306,27289892,35414368,44839432,55747166,259810765 Dl.O(d2) = 115310570,127464588,129238616,261263919,115310565,101232223,260689169,115310566,101232224,87231786,87231787,101232225,115310570,113588510,270835101,22090890,22090891,22093103,15985476,15985475,16187616,11252158,11252156,16187607,12938285,12938282,10280414,6756621,6756624,10280405,14946144,10280394,9868032,6482301,4061987,2431037,2431038,4061990,2432116,1406747,1406745,2432094,4063989,6482016,6482018,9867575,14360512,20046163,268077160,12387828,8371146,8371147,12387830,17558624,23902995,29494771,26225621,19510800,19510801,26225594,29422261,37984859,30439813,23032971,16789752,11739629,7838078,7838076,7638934,7638933,11484909,16483418,22681517,30058295,28862116,28862117,37403689,29667900,29667901,23861281,23861282,30440943,26954522,20070179,254688012,9892052,14386530,20070180,24712830,32328047,41142183,40102759,40102760,48546720,38632438,38632439,44408486,44408485,46887406,48546715,57714670,48405780,46365327,46365329,254970668,255134932,24100785,31604154,37693571,29132163,21825064,15757701,15757700,17793865,12594822,12594820,17793863,24161360,31670992,38632395,30058660,26929708,26929707,255856782,47776161,256729740,256914169,256728968,32832738,25127740,25127741,24047854,256532077,255257099,5982922,3741161,3741159,5982918,9142682,13376415,18781174,23983730,17637743,12461966,12452676,12452678,13373299,10775484,10775485,15577435,267975856,8450882,11818545,9140239,5981291,3740186,2239159,2239160,3740189,5981299,9140141,9140213,5981277,5981276,8444996,9138789,13371380,13373455,15577829,10775809,7119855,7119856,255044385,21606329,17647048,17647047,18777923,13373364,9140290,9140289,12461239,8446782,5455383,5442068,5442066,8430067,12461249,12472356,8441780,5451116,5451114,8441774,12472345,12465272,8434015,8434016,12465277,16887429,16887428,17624726,17624725,256025943,25355889,18773923,17624493,12444117,8412524,8412523,12444115,12473818,12473817,17635607,12481173,12481174,17631599,12479829,12479830,12450676,12450674,8452143,5459892,5459891,8452139,8452101,5459866,3356829,1973424,1973421,3356826,5459860,254861743,254857867,3340574,1964416,1964417,3340578,5433104,3339917,3339918,3337161,3337156,5428601,5452690,5452693,5428433,5428429,8406494,12437901,8417397,8409409,5426588,5426587,8409406,5458866,3356195,3356196,3353666,3353667,5455071,8446379,8441536,5450912,3350919,3350918,5450910,8439069,12469839,12457983,8426385,8426384,12457980,255409311,17621643,255573981,12474289,8443958,5452895,5452896,8443959,8418965,5433611,3340251,1964247,1121910,629392,349570,191625,191626,349573,629400,629359,629360,1121850,1964121,3340007,254599181,8451106,8418467,8418468,5435929,3341727,3341726,5435928,8422094,8447819,8413645,8413644,12438413,8406923,5424850,5424851,267999651,5432536,5432537,8417599,12449267,12471911,12480155,12480156,12468527,254600875,5447966,8437676,12453449,8421802,8419480,5434001,3340479,3340477,3355646,3355647,5458095,8429841,5441890,3345372,1967081,1967082,3345374,5441892,8411855,5428428,5428429,5446146,3348027,3348026,5446122,5447404,8423588,8414677,8414674,12446307,12454923,8423279,8423283,8434286,8434288,12465552,256532897,39517040,255989357,17191388,12088296,8129096,5208072,254576005,12088294,259473653,260688319,261807849,166921915,155236711,155236710,166921917,177460959,262790565,155236715,142599617,129229019,129229021,142599620,155236717,166921918,155236711,155236710,166921917,177460959,262790565,155236715,142599617,142599616,155236713,166921919,177460957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654507, s2 = 14051360, dlinesl.size( ) = 30 s1 = 11654513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654513, s2 = 11028096, int(edited[s2]) = 0 s1 = 11654513, s2 = 11028096, d1 = 5, d2 = 10 Dl.O(d1) = 9542103,6260254 Dl.O(d2) = 2312828,2321681,2321686,2346970,3920723,267934420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654513, s2 = 11028096, dlinesl.size( ) = 12 s1 = 11654567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654567, s2 = 11691447, int(edited[s2]) = 0 s1 = 11654567, s2 = 11691447, d1 = 16, d2 = 18 Dl.O(d1) = 256421612,16420849,11455065,11455066,16440930,22626719,22626716,22626715,29995295,32577079,24920276,24920277,32577080,29995297,29995298,38565691,38768405,38768404,41443608,41443607,51693848,63443752,76491255,90320498,104468272,118647954,132482616,145723481,157593441,145176952,145176953,145176940,145176936,145176935,157593428,273206213,179321505,179321506,179321508,179321507,188365096,188365100,263680867,202983599,208632629,213275065,217073721,213275067,213275068,213372101,208765619,203161387,203161388,208765621,213372102,213275071,208632635,202983607,196243322,263796396,188365106,179321518,169043879,157593439,145176950,131939352,131939351,139657774,126287909,126287910,139657776,139657779,126287915,126287914,128178659,114295613,100265542,100265539,86303409,72706358,59969270,48577577,38661633,30084406,22702561,16498945,12745262,12745261,17983646,255031554,7006104,4403970,4403971,7006106,10616695,15365809,21339966,28567237,37069424,33856722,33856723,42901728,53367647,65371495,259082813,86864900,73251827,60504772,60504771,73251825,86864895,73251829,60504774,49100545,39170174,39170173,49100543,258199711,257902378,257902376,74846532,62048164,50555446,40519045,31822123,31822124,40519044,256415496,47283545 Dl.O(d2) = 58674799,48371652,257538151,71408956,58674794,47283589,47283588,58674792,71408954,84982810,98908213,98908214,261117729,272231889,257911792,256997335,38952199,48871832,58674766,47283558,47283559,58674768,47283569,47283568,58674777,71408902,58674753,47283550,47283551,58674755,71408904,84982763,76764359,63671746,63671745,67640378,55302061 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654567, s2 = 11691447, dlinesl.size( ) = 14 s1 = 14985015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14985015, s2 = 11654678, int(edited[s2]) = 0 s1 = 14985015, s2 = 11654678, d1 = 1, d2 = 9 Dl.O(d1) = 175247427 Dl.O(d2) = 112680182,98685495,255968394,47088751,47088752,58466943,55702883,55702884,59624553,48237534,257528789,270447174,260781479,261240440,114923897,100873758,86894333,86894332,260066251,128820980,261178510,139547456,259383188,112311036,126171691,271804658,261726410,153212930,165031529,262685045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14985015, s2 = 11654678, dlinesl.size( ) = 12 s1 = 11654767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654769, s2 = 11230742, int(edited[s2]) = 0 s1 = 11654769, s2 = 11230742, d1 = 40, d2 = 43 Dl.O(d1) = 262249415,165191100,261699049 Dl.O(d2) = 22542870,16367467,16367466,22542868,256414165,48356956,39377282,39377283,39377284,39377285,49304985,60707373,73455770,87073508,260078709,129075035,261798081,129075034,261252401,262308367,263212921,262781729,272588279,261798081,129075034,115145776,101069800,260078707,84990373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654769, s2 = 11230742, dlinesl.size( ) = 26 s1 = 11654793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654793, s2 = 11109086, int(edited[s2]) = 0 s1 = 11654793, s2 = 11109086, d1 = 2, d2 = 0 Dl.O(d1) = 261631290,128076461,141441785,154112681,272369736,114949302,260666643,141441785,154112681,272369736,114949302,100896451,270511176,73305065,270872939,259281494,99863565,100159388,114189765 Dl.O(d2) = 257420512,59580019,258030160,72314625,59580020,48193575,48193574,59580019,72314623,85908049,86020909,72423773,59688536,48301876,48301875,46507397,36640126,28165058,20985022,20985023,22804223,18003615,12759394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654793, s2 = 11109086, dlinesl.size( ) = 2 s1 = 11654793, s2 = 11109086, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11654793, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11654805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654851, s2 = 11448120, int(edited[s2]) = 0 s1 = 11654851, s2 = 11448120, d1 = 26, d2 = 7 Dl.O(d1) = 273885052,264805647,212517064,207710535,207710534,265032323,216446782,212517061,207710528,207710527,207710532,201881872,264274163,201881886,201881887,207710551,212517077,212517076,264554114 Dl.O(d2) = 264554121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654851, s2 = 11448120, dlinesl.size( ) = 20 s1 = 11654857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654857, s2 = 12248904, int(edited[s2]) = 0 s1 = 11654857, s2 = 12248904, d1 = 16, d2 = 12 Dl.O(d1) = 272551185,264606242,264331972,263686562,272345616 Dl.O(d2) = 257154470,20865331,28033157,36495879,38966392,30380512,22978666,16741669,11697275,11697273,13266039,13266040,18656307,17238803,16746182,16746183,17238934,13219024,13219023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654857, s2 = 12248904, dlinesl.size( ) = 20 s1 = 11654863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654863, s2 = 11488778, int(edited[s2]) = 0 s1 = 11654863, s2 = 11488778, d1 = 0, d2 = 13 Dl.O(d1) = 175455175,164698164,164698165,175455204,184998125,263868903,206522709,211514271 Dl.O(d2) = 206522710,206522709,211514271,264969947,221809357,265505638,210528773,264118632,191680949,263555444,122944412,259763457,80337096,66910253,66910254,258173713,38795061,30210638,255497459,11576729,7705651,4876794,2938536,2938537,4876797,7705654,11576732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654863, s2 = 11488778, dlinesl.size( ) = 8 s1 = 11654877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654877, s2 = 16292860, int(edited[s2]) = 0 s1 = 11654877, s2 = 16292860, d1 = 23, d2 = 6 Dl.O(d1) = 197530913,204049765,209488456,213950096,217611956,220667538,265479699,223266791,223266786,223266787,225514892,225514891,225514890,223266786 Dl.O(d2) = 220667530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654877, s2 = 16292860, dlinesl.size( ) = 14 s1 = 11654915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654915, s2 = 11039778, int(edited[s2]) = 0 s1 = 11654915, s2 = 11039778, d1 = 9, d2 = 33 Dl.O(d1) = 208350811 Dl.O(d2) = 259563616,155139811,142495344,257701682,101107334,87109213,73490372,255211920,39408542,30803722,30803723,38984768,42101750,33147659,25407195,18816697,255401658,21946658,21946659,28557958,29268966,25169069,23115786,16856554,11789407,7872365,4997690,4997689,7872362,11789400,13682991,9370408,6137876,3840121,2300664,1336134,1336133,2302492,3842695,6141436,9367201,6135655,254454967,2315215,2315214,3825198,2291768,1329744,1329743,2291765,3825188,6113584,8659515,8659516,9368987,9368901,8659513,8659517,9368982,9370493,9333482,9333480,9333485,6113595,3839583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654915, s2 = 11039778, dlinesl.size( ) = 20 s1 = 11654985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655073, s2 = 1778024, int(edited[s2]) = 0 s1 = 11655073, s2 = 1778024, d1 = 2, d2 = 15 Dl.O(d1) = 259413117,114322172,260031848 Dl.O(d2) = 176623206,262770628,98420221,258661365,70934333,84498507,98420221,258661365,58217055,46849124,36970308,255820315,15286794,10552272,6959579,6959578,10552270,15286792,16898202,16898203,15297134,10561691,6966080,4376440,2621372,2621370,4365894,2616089,1510622,856675,483813,272217,272216,483798,856624,1510484,1510483,2615832,2615812,2615810,4365281,4372618,4378329,6969201,10566180,11866829,7931342,5042273,5042272,7931340,11866826,12063407,10568442,10533083,6946474,4365201,2615773,2615772,4365196,6946466,6946872,4365472,4365471,4364449,4364448,6945076,10530844,15262891,15301955,16895406,11866830,7931342,5042273,5042274,7931349,11866848,12063402,10556296,10556298,11265208,15060147,10555788,10549906,6957791,6957792,10549908,15264517,10532249,10532248,15060022,15267259,15267258,10550187,254725493,6951503,4373510,2619926,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,6969018,4378202,2622301,2622298,4378186,6968985,10565887,13529809,13519977,13519976,12052638,8103295,6061358,6061354,9241893,6052874,6052875,9241898,9242337,10548800,13514520,12053979,12053980,15258048,10526768,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241009,426825,751167,1316384,2269421,2269417,2622126,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377817,4377820,6968407,8374261,5404543,5404546,8374277,12391962,13504194,12057571,8106926,8106924,6952067,6944395,6944398,255023325,20141892,14447690,14447691,20141893,27034761,35121694,40368361,38936177,30350356,23817822,256843622,17570547,12398663,12398662,17570544,17713293,15913426,11035002,7309726,4613577,4613576,7309719,5491934,4830021,2910512,1688452,1688450,2910508,3382268,5491901,8491298,12530234,255029208,23832428,22299555,22262923,16122533,15779500,11223219,7446737,4704987,3307073,3307074,5378075,8332722,12334609,17493742,22299508,16154380,11223298,11223299,254224708,22299699,16154265,16154266,22299700,29651619,29651473,22299489,16154046,11223059,11223060,16154049,16293446,22299418,16153998,11223017,7446612,4704918,4704919,6990019,10595648,15340315,21310232,22299366,23832469,17493833,17493835,12334680,8332771,5378101,3307087,1945583,1111470,1111471,1945588,3307095,5378116,8332794,12334714,12334713,11398615,7573826,7573825,11398622,7925506,5038198,5038197,7925504,7299024,7299023,11024365,15902253,17018493,17018494,255824906,23832531,17493897,255133858,5378112,5378111,8332784,12334709,16293829,11336528,11336527,16293273,16293275,11741762,7839414,4976313,3006014,1746208,992895,992894,1746201,3005996,4976284,7839361,7533330,4765445,4765444,7533325,11336329,16293529,13009245,8856941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655073, s2 = 1778024, dlinesl.size( ) = 16 s1 = 11655137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655181, s2 = 11064956, int(edited[s2]) = 0 s1 = 11655181, s2 = 11064956, d1 = 24, d2 = 28 Dl.O(d1) = 265893340 Dl.O(d2) = 226227103,265241164,272897658,271856896,259496292,256511290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655181, s2 = 11064956, dlinesl.size( ) = 8 s1 = 11655189, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655213, s2 = 7866950, int(edited[s2]) = 0 s1 = 11655213, s2 = 7866950, d1 = 39, d2 = 30 Dl.O(d1) = 258895935,102069343,273356336 Dl.O(d2) = 254792646,38502749,38502748,48408601,57853821,57853823,53767930,43251675,43251674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655213, s2 = 7866950, dlinesl.size( ) = 18 s1 = 11655223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655223, s2 = 11449552, int(edited[s2]) = 0 s1 = 11655223, s2 = 11449552, d1 = 10, d2 = 0 Dl.O(d1) = 264121312 Dl.O(d2) = 183812048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655223, s2 = 11449552, dlinesl.size( ) = 14 s1 = 11655225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655225, s2 = 11305382, int(edited[s2]) = 0 s1 = 11655225, s2 = 11305382, d1 = 5, d2 = 11 Dl.O(d1) = 205360125 Dl.O(d2) = 264308402,264212906,262706770,261712198,183961648,263144446,265524623,264964867,264183503,175293167,263532580,71283001,58551481,47162939,47162938,58551479,71282997,71497459,58767945,269361884,76219079,63208104,51497874,41283521,32444199,256598167,32444199,255627729,13004880,18320943,21077093,21077094,28282164,36778228,257413351,70750359,84302023,260495369,258802822,84302023,259893439,125997152,139347504,152052656,163915161,163915162,152052663,152052662,261219652,125997153,125997154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655225, s2 = 11305382, dlinesl.size( ) = 12 s1 = 14217920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655257, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10488769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655397, s2 = 11660660, int(edited[s2]) = 0 s1 = 11655397, s2 = 11660660, d1 = 14, d2 = 13 Dl.O(d1) = 1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737229,2992395,4956764,7813965,11712176,13034141,16758938,254423206,30403213,36487700,36487701,36487702,28025544,20858429,20858430,28025546,36487704,46344892,47671894,37749784,29188528,21876762,21876761,29188525,37749781,36509799,36509800,46368051,50028137,40009534,31331293,31331291,23839616,23839617,31331298,40009538,50028143,47299986,37390826,37390827,40566678,40566679,46427422,46427420,57782440,47282511,47282510,58673743,259320061,112895060,126746931,140094529,152784895,146840414,133582864,119708315,256708730,91246447,255308040,52326978,64178229,77326404,256188780,105468959,259110752,102159701,102159700,116221105,130131817,143462666,156001466,167610657,156001472,261852548,116221108,102159706,259526598 Dl.O(d2) = 85660283,258280038,113624468,127497229,140854079,261310284,156001461,143462660,130131813,260141485,258902487,61770111,258280037,270910465,260738219,116221104,130131814,261852545,261852547,156001465,167610655,178073358,187310048,195349653,202224314,202224312,195349651,263338578,167610654,156001464,146854220,146854218,146854219,159227595,170565206,263712347,197282592,264352355,264624125,217491552,220565064,219971362,216749298,212861306,212861307,273981760,219971364,222690376,225024995,227052626,225438752,223179182,220565061,220565060,265089423,217491548,264868399,203841147,197282588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655397, s2 = 11660660, dlinesl.size( ) = 8 s1 = 15156905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15156905, s2 = 14026931, int(edited[s2]) = 0 s1 = 15156905, s2 = 14026931, d1 = 8, d2 = 15 Dl.O(d1) = 80294185 Dl.O(d2) = 257996260,87042095,73424068,60676175,49275178,39348715,34754898,268196360,269626863,50126924,40106824,31427089,31427090,30103789,22722174,22722175,20345551,14602869,10048144,10048143,13179191,11515547,7660161,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474288,4136463,6603041,6603974,10044702,10044221,10044222,14597325,20339339,27275470,35402040,44827712,55735405,68133326,81623177,95656082,109859080,123997364,137678246,133844129,119977864,105743280,91519826,77588947,64420242,52546177,42187448,33227246,25478910,25478911,33227249,42187450,47174674,47174673,37341652,37341650,47251406,58644098,71379957,84955257,98880737,112867978,126719276,140066315,152755986,164590793,175352750,184903740,263004568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156905, s2 = 14026931, dlinesl.size( ) = 2 s1 = 15156905, s2 = 14026931, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15156905, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 12029344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655751, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11655791, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14217968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10413011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14217970, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14217988, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11656435, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11656541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12030202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656707, s2 = 11049466, int(edited[s2]) = 0 s1 = 11656707, s2 = 11049466, d1 = 17, d2 = 12 Dl.O(d1) = 268812271,268329623,6411818,6411817,9751552,9752056,14186052,19804814,26613079,32735343,25046093,24121063,17759734,12567270,268081100,24121068,17897850,12678171,12678170,17897847,24278230,24610030,24610031,32198477,255300940,40978528,38838212,255710512,16633240,255500861,30254441,256988141,60152191,70437838,57742857,57742856,70437834,83964797,97824755,101207588,101207586,94348953,80292411,80292413,94348959,87206621,73584270,60834556,60834557,73584275,87206632,101207633,115286253,121404295,127656384,141004557,153670880,160681813,148421370,135255493,121404297,121404296,261568293 Dl.O(d2) = 260337050,103894657,113540375,99529023,85582064,71995316,256235766,37943920,29395945,29395946,29376737,29376735,255340884,17497405,23837070,29397317,37131070,37131071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656707, s2 = 11049466, dlinesl.size( ) = 14 s1 = 14218000, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14112229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656927, s2 = 10929246, int(edited[s2]) = 0 s1 = 11656927, s2 = 10929246, d1 = 12, d2 = 11 Dl.O(d1) = 39213453,44574363,35196143,27106690,27106692,35196147,255333954,58023679,60155007,48761245,48761244,49988869,39972947,31298727,256517897,39972951,49988878,44574335,35196119,255335918,18593524,13213067,9006806,9006805,13213064,18593517,25150326,27107201,35196745,44575047,256228222,36766261,28271333,21068560,15133693,15133694,21068565,28271337,31328708,31328710,40006831,44574376,35196153,27106700,27106699,35196151,44574372,46651131,36766352,28271393,28271394,23837319,17497576,17497577,23376204,30804163,39409052,31328764,23837376,23837375,25150320,25150321,23837321,23837322,23837327,17497602,12337391,8334599,8334598,12337389,17497595,23837354,31328739,31328759,40006878,50025441,60741779,49338555,39409068,30804177,23376220,17106564,12020644,8080259,8080258,12020642,17106560,23376193,23376192,30804145,23837379,17497616,17497615,23837378,31328768,40006889,39409042,30804159,23376199,17106552,268049538,30804151,39409036,49338524,46651244,254693830,21068658,21068659,28271491,31328729,31328728,31328751,23837369,17497645,12337417,8334615,8334612,8334613,12337414,17497639,23837413,31328802,25149910,25149911,28271460,21068639,15133743,10437756,10437755,15133738,21068632,254317758,30091884,22710294,16506324,11502160,11502161,14497211,20203707,27103691,35192686,38669040,37974723,37974722,44570712,36766482,28271543,27204611,22080728,15975081,15975082,22080731,29411230,27103587,20203608,20203607,27103582,35192576,29411260,22080757,22080758,29411263,37974772,32310144,24696908,18227597,12928724,12928728,254693892,32310151,41123091,38669295,30092184,22710560,16506537,16506536,22710556,30092180,38669291,48585357,254693874,35192671,27103681,20203698,14497207,9975228,9975227,14497206,20203694,27103568,20203599,20203597,27103563,35192560,35192574,41123083,32310141,24696902,24696901,32310139,29411156,254981420,30091833,38668965,254981368,16506412,16001027,16001028,22080638,15975018,15975019,22080642,29411138,37974643,37974650,255335932,29411163,37974667,47892525,59288526,72024980,64189677,255532928,37974780,29411283,22080773,16506539,16506538,22080670,16506545,11502317,11089758,11089760,15975016,11089670,7354700,4645934,4645933,7354696,11089663,15975004,14414606,9913667,9913666,14414604,20104372,26995251,35080125,255545820,37876031,29865993,22505215,22505216,29865994,254579022,31585578,24079809,21105383,21105384,255557544,31241486,31241487,268253750,46648960,38331169,268376928,16237965,11289064,11289065,16237967,22399056,28256952,21056094,21056095,28251571,28258532,28258155,21057131,21057130,21057479,15125652,10432713,10432715,15125655,21057484,28254851,21054113,21054114,28254854,28252133,21051613,21051611,25697448,21050115,19078015,19078016,25704560,28248703,28248702,33554941,25765393,21048468,15118861,10428265,6875369,6875370,10428270,15118870,17103941,12018554,12018555,17103947,17478534,17478535,15119405,15119404,11287941,7494591,4737633,4737635,7494597,7424952,7424949,11190385,16110397,21048908,21048909,28249167,22399808,22399807,29761716,22399794,16238549,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,8715549,12818559,12818608,18080723,12820433,267919699,5673951,8716567,12820427,18083561,24513427,32084005,36751845,28256842,21055981,21055982,28256844,24513014,255216001,8716448,5673904,5673903,8716445,12820185,18083205,24513008,32082918,31034507,30618046,24511292,18081850,18081851,23330678,30753117,38515547,29951068,22587380,22587381,26933588,29421098,22090478,22090479,29421101,30058470,22681683,22681682,24712194,22095274,254686868,11098365,7360256,4649285,4649284,7360253,11098384,9197588,8802113,5733629,3570088,3570081,2128003,2128002,3570066,5733585,8802030,12938046,18239570,24711452,29080405,21782527,21782525,15756633,10912186,10912181,254686942,29130674,37629930,46830171,37985020,29422522,22091865,15984599,254972646,29422520,22316243,21826294,15758610,15758611,21826298,22092101,15984741,11096952,11096953,15984746,22092104,29422801,37985210,40102557,39322788,30828322 Dl.O(d2) = 20040362,20040363,17533814,12366777,12366776,15210539,10492204,6918679,4346409,4346408,6918670,10492174,15210483,21168074,26929627,28386255,21824067,15756895,15756894,21824064,29131100,255325118,37691690,37691689,32852514,26946783,20061750,254972200,254818762,20061748,26933257,26933256,20052963,14367149,9873296,9873298,14367155,20052974,15756977,10912389,7216958,7216959,10912396,15756989,15757948,15757947,21825411,15986791,15986790,20068997,26953359,21822865,21822864,29129824,30021235,24311403,24311402,31829007,37357355,28817719,254971650,22154963,22154964,29493960,29423250,29423251,29687443,29687444,30834711,35032544,35007499,35007500,26926592,26926591,26953181,20068835,14385183,9890821,9890820,14384155,9889790,9889791,14384161,20047123,14361268,9868130,9868128,254686582,26933397,35014921,34678299,28941420,21662675,21662676,28941423,37483279,42055357,33106333,25371412,18787112,18787110,25371387,25371424,20046571,20046568,26932744,29131856,21824763,15757452,10912696,10912694,15757444,15757475,15757474,21824797,29131897,29129777,26926748,20041294,20041297,23307452,23307454,23033472,16790075,11739796,11739798,15756118,15756116,15718169,15718168,21777359,21462701,15462169,10691198,10691199,10691188,10691190,15462150,17197113,21780332,15721486,15721487,21778513,15719376,10882547,7195293,7195292,10882543,15719368,21778501,26931314,26931315,35011864,26961727,20077731,20077732,26961731,30057609,23400960,17128631,17128630,23400958,21782644,21782643,22459282,29826656,38398955,40034714,42103278,33149056,25408542,25408544,33149058,36986071,38154157,37403779,29424567,29424566,33025802,25639179,19022433,13577492,13577493,16590757,21588966,28863206,37404573,38398712,30721758,23304217,17043528,11956541,11956540,17043525,23304214,30721755,28875688,21600513,15573155,15573156,17046248,23307623,25408813,18818143,13406423,13406424,18818148,16291095,11334170,11334169,11811428,11811431,16787229,11737779,11737780,16787233,23029773,22458965,16290946,11334033,11334034,16290954,21589491,15563594,15563593,21589486,15563613,11568268,7699859,4873235,4873234,7699856,9107980,5959612,3726980,2231437,2231434,3726970,5959593,9107944,13329897,18725049,25299633,25299671,19447330,256693011,52569644,48657160,48657161,60053621,71966808,71005508,65781768,53725224,53725222,65781761,73580290,60830440,53725171,53725173,60641199,60641198,65781742,65781741,259101483,77323933,77323934,258954988,59897339,59897340,72639034,60676702,50992239,50992238,62614159,72639121,77957534,84273943,70722370,58006806,58006807,70722374,74904135,77957527,64762161,52841726,52841725,64762158,77957516,85957748,78892117,65557108,65557107,62612474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656927, s2 = 10929246, dlinesl.size( ) = 8 s1 = 11657123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218016, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14218020, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657251, s2 = 15057132, int(edited[s2]) = 0 s1 = 11657251, s2 = 15057132, d1 = 4, d2 = 0 Dl.O(d1) = 104016599,89890977,76089630,258346785,51396635,257733422,41961200,33018482,25687757,19063851,13609609,13609608,19063849,256145739,26247505,19530260,19530262,26247511,34111474,34986216,26905938,20022684,20022685,25126966,18574511,255644865,32831936,34650442,43923675,37203522,28680201,28680200,37203519,31889950,24362101,256054543,26905924,34986201,44363974,48014975,38104709,29541431,22198119,16069166,11157943,11157944,16069169,22198123,29541442,38104720,31314491,31314492,24362140,17966910,12732396,8651869,8651870,12732397,12950265,17966934,13609607,9319090,6104562,3819617,2288380,1327675,757927,430866,243214,134431,73074,73075,73402,39724,39721,73039,73403,39724,39721,73039,73403,39724,39719,73379,134945,133877,133875,242071,428886,754826,759934,759937,759963,759961,1330859,2287602,1327615,1327617,2278756,2276652,2276656,2053372,1327460,1327461,2288076,3164329,1852312,1057088,594368,331346,331344,594352,1057050,1852219,3164157,5186518,8095570,5186829,3164387,3164391,5186866,6116432,6116429,9314459,13582559,9300236,6123925,6123927,3831554,3831550,2941824,1706057,969812,969809,1706046,2297281,1332955,1332954,2297276,3834467,6096090,3814079,3814080,6096095,9306310,9321976,9288439,9288438,9347780,9347782,9611878,6313420,6313419,9611875,13634712,9361684,9306453,9306454,6111638,6111639,9330241,13625682,19084635,13625596,13625595,13640646,12204100,8235825,8235826,11588335,7713708,4882146,4882147,7713713,9272375,6073735,6073734,9272370,11588477,11588476,9312358,6100129,3816754,3816755,6100131,5857891,3656696,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171503,11683369,7790811,7790810,11683366,10484583,10484582,15200866,21156459,28373634,29802370,22436357,16268836,16268837,22436363,29802371,27212412,27212411,22432119,16264584,11308207,254696329,4124241,4124240,6582594,10015326,255341111,27213889,26407058,19672568,14102344,9699616,6379376,4002389,4002386,6379367,9699596,14102306,19672512,26406995,34281803,43380243,48293862,38383212,34281476,30188241,22798595,22798596,22444065,22444062,29810955,28782074,21518807,15507703,15507702,17419259,17419260,17419301,17419304,17418955,12277191,11603230,7724262,7724263,11603238,16634072,22860412,23744185,17783974,12586587,12586588,17783966,24151157,29168914,21859557,21386466,255830865,23204540,16934269,16934268,23204537,26574957,20858941,20858940,28026095,36488359,46345680,57694374,70388117,70388116,83914419,97773030,97773033,89891002,76089657,74727365,74727366,83914416,268470028,81558336,95591970,84643503,84643504,89890994,104016606,105122130,109794047,104016603,89890983,76089634,76089635,77056634,63942595,52121975,41806710,32884074,25175238,18615940,18615938,25175234,32884068,37109724,46994973,37240841,28710113,28710114,37240843,47146139,52121979,41806713,41806714,41806705,41806706,44758051,55668554,52121963,46994981,37109730,37109728,44758029,46994989,55668561,44758059,44758061,38394709,29822313,22455034,16286469,16286470,22455036,29822315,38394711,48305237,59692147,72427860,71868814,59130504,47731745,37809584,29245123,21925261,15839194,10976087,7264887,4581455,254516309,10976080,15839183,21925241,29245093,37809553,47731703,39094965,30499078,23085684,16832633,11771159,11771161,7858932,4987966,4987965,7858930,7858936,4987968,3012775,1749975,254120306,4987964,7858927,8592719,12656261,8592721,5583145,5583146,8592723,7858924,7858925,254501976,16832622,23085667,30499056,31761201,31761203,31761206,40455533,50491331,40455517,33187759,33187760,42147057,268458402,63409579,58806842 Dl.O(d2) = 255228654,31691407,29197199,29197202,23729944,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058,3728887,3728883,5963040,9113819,13339102,14580568,10032891,10032889,14580562,20317199,27249738,29806043,29806042,33187641,42146938,40909106,255729874,62681286,73219528,60473051,257423498,30540195,30540194,38227366,38227365,37393103,28852849,21580635,21580634,28852847,37393100,37530307,37324611,37324612,35095094,27008725,27008726,35095095,35051873,35051872,44426447,48137590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657251, s2 = 15057132, dlinesl.size( ) = 2 s1 = 11657251, s2 = 15057132, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11657251, Dl.E( ) = 6, 8.11e-06 seconds used appending s1 = 11657321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657711, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11657925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657925, s2 = 11070432, int(edited[s2]) = 0 s1 = 11657925, s2 = 11070432, d1 = 21, d2 = 14 Dl.O(d1) = 98482047,112473220,126340384,112473221,112473222,261093089,261644895,262648605,175115995,184698604,262858966,152441674,139715954,139715955,152441675,164315945,175115996,176402248,165739398,153965575,153965574,260106624,127932398,114051320,114051319,127932396,260106628,165739396,261277052,165739399,153965577,141293665,259491218,100023903,86060774,72462632,59727043,48342673,48342672,59727042,270327433,48342674,38439289,29881076,22525357,16352405,11379289,7560067,4780460,4780463,7560075,11379309,8124249,8124248,9927880,254183594,27016342,21615790,21615791,17316782,17316781,23632767,29839629,22471996,16302563,11343258,7538138,4768679,4768681,7538142,11343263,13403421,13403422,254422234,28299644,21919157,21919156,29237150,37800121,32788242,30796459,30408897,30408894,33648956,38620082,30046303,30046304,28271433,28271435,21614624,21614623,28890746,37432427,255416030,21446986,255036335,7056661,7056660,10682429,15450312,21446985,28698843,28795189,25470453,18870224,18870222,18870353,13446588,13446587,18870351,25470611,33217357,29753597,29753596,38323084,31471157,31471155,34612227,34612225,41759460,32839168,32839169,28327660,21117540,15171023,10463203,10463202,15171001,19440249,254449710,254931814,256143424,269089240,106792432,121047983,259677636 Dl.O(d2) = 260751830,167814600,260751832,255592226,24263558,17885359,17885358,17884612,17884611,24262602,31774931,40469770,38628515,30054644,22678383,16481264,255929267,25712303,25712305,28953888,37496559,47404358,55466802,44617719,35235662,27140146,27140145,28953869,21673374,15635785,15635787,21673375,25133724,28328064,28775476,25700909,25700910,27213200,27213199,32839584,25134272,22678495,22678496,30054787,38628660,46706237,42609929,33586171,33586170,39098466,47620212,50505142,50505141,58228902,46861031,46861030,47194358,37285764,28751383,21491842,15486026,10708808,10708809,15486027,21491847,28751375,37285753,255275486,47290381,37493467,36824586,36824585,46706723,268303106,28328904,256141396,13926396,9558789,6272149,3927072,2350993,2350992,254459191,254660540,19459801,19428770,19428771,26122909,19459883,13926439,13926441,19459894,21494504,21494506,21379680,19233862,15608418,10798610,10798612,13926579,13926578,19459603,13926550,9558890,6272196,3927096,3927097,6272198,3941530,3941531,267862224,13962639,19507066,26221185,34081690,34081689,37980904,268221310,15980953,255448803,29417969,37980901,47898121,49146451,39220009,39220010,49146453,51962493,41654957,41654958,46612684,46612683,51962509,41654972,268251868,18516751,267843090,8131661,8131660,12091760,8343922,8343921,12349907,17513501,16354627,15560650,15560652,21585361,28858795,37400060,38319921,254737408,37401344,28860604,28860605,37379894,28839696,21568206,15546020,10751890,10751889,15546017,21568201,28839690,32117948,31147191,31147190,39829272,47280161,47309873,37400425,28859149,22792892,16576606,16576605,22792890,30182290,38489192,38489191,32784986,25087147,18542459,18542458,25087144,256617737,52013054,62848898,75812476,75812501,62848811,58764189,58764188,71485848,85057436,75443337,62521693,50918982,40800259,32041058,24476832,18055293,18055279,12800053,8702769,5665076,5665074,8702764,11309171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657925, s2 = 11070432, dlinesl.size( ) = 14 s1 = 11658031, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12031098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10582657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658087, s2 = 773756, int(edited[s2]) = 0 s1 = 11658087, s2 = 773756, d1 = 2, d2 = 4 Dl.O(d1) = 256175344,32976533,256175346,64103539,77250175,71883927,59145887,59145888,60536218,73280541,258769872,258146106,54602044,43859094,43859096,53118059,42666043,33636394,25833444,25833445,30315920,37426523,28884352,21608328,15579678,254740643,4483499,7120773,4483417,4483419,7120776,7120558,7120559,10776761,10779027,7122161,4484319,4484320,7122162,10778103,15580885,255044555,7120735,4483393,4483392,7120731,10777024,10778978,7122125,7122126,10778975,15581991,21611114,28887343,37429319,38619670,38392154,38392155,37989115,29427650,22096760,22096759,20227696,14515081,9987841,9987840,14515079,11273676,11273673,11273671,11273672,10868698,10868696,15700230,268169380,29205364,25285041,22372085,16217171,11273618,267975278,4729425,6007923,9179211,11324508,7520625,7520626,11273677,7483763,267790390,2849461,254354076,11273674,16217263,22372202,267790362,15814589,10959350,7253866,4574524,2752041,2752042,4574526,7253868,4729428,2849452,1653253,940381,530205,297196,297197,530208,940386,1653259,2849463,254354226,11273680,255087836,255472468,34654784,38295785,38295786 Dl.O(d2) = 26001791,19329134,19329135,26001792,33818104,33819464,26002262,19329484,19329483,19330276,13822807,13822808,19330278,26001019,19328559,13821698,13821697,19328554,26001008,33818111,33818102,268509019,19329487,19329465,13822302,9479594,6215877,6215876,9479593,13822299,13822171,9479514,9479515,9479588,9479587,13822288,19329444,268508977,26001123,19328658,13821780,9479283,254945269,19328659,19330157,13822737,13822738,19330160,25113297,18563189,18563187,19328532,19328531,26000979,26030465,19353157,19353158,16044212,11140309,7389142,4668024,2812166,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,4635764,2792460,2792461,4635769,7332073,11057517,11064510,7336321,4634167,2791584,2791581,4634155,7336284,11057561,7332097,7332099,4640378,2794955,1621168,1621172,2791937,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790970,4632986,7334195,11061067,15940129,254996195,10257602,14917286,15958318,11075412,11058900,11058899,7332910,4632294,4632075,4632076,7332506,11058249,15936198,22038447,22041670,25542440,25542439,268178652,37965533,29402949,255448019,11082869,11073930,7342874,4637934,2793637,1620454,921548,519556,254123259,1620459,2793649,4637954,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,7866011,11781293,16846724,23104134,29393184,22062843,22062842,29393180,37957814,255870362,27973384,27973383,36432396,34581579,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,6409530,4021083,4021085,6409541,9747711,7434933,4698141,4698142,7434942,11205151,16130264,22272029,28530047,28530045,21307631,21307630,21307634,21307635,28530049,21711291,254357072,7170908,5062579,3067422,3067423,3067403,1788131,1019549,1019550,1015322,572311,320554,320553,572307,1015319,1780572,1791160,2713428,1571869,893684,504217,504218,579232,579230,1028011,1782407,1016459,1016458,1782402,3057907,3077549,3069297,3069295,1792322,1792323,1801666,3085508,4515787,2713559,1800390,1027485,578928,578930,1027492,1800401,3057868,3057853,1782366,1016438,1016439,1027509,1800434,1806808,1031939,581563,581564,1031943,1806818,1788099,1019528,574492,321579,321580,321596,321598,574531,1019582,1788177,1806378,3076879,1806382,254255019,5064831,5049339,5049338,3079156,3079155,3085503,1807005,1807004,1805992,1031323,1031322,1805991,3091476,5093726,5093729,7934307,5064848,3069137,3069134,4887013,2944880,1707815,970749,970748,1707810,1796306,3078503,5076466,3080259,3080258,5073347,254818625,5092683,3090622,1805319,1030920,580951,580952,1030922,1805322,3090625,3091475,5067376,5046963,3057241,3057242,3075595,1794384,1023729,1023726,1794400,254167764,7971683,5077693,5077694,267736124,1551647,1551645,2678724,1784787,1017917,1017916,1785059,3062315,1797499,1025687,577942,577941,1018903,1018904,1018959,574223,321463,177772,177771,321480,574265,1019051,1787227,1786804,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175939,7997497,11901906,11894398,7966500,7966501,11909944,11943149,7993894,5088597,3087677,3087675,5088594,5072807,3075838,3075839,5053777,5072745,5072747,5069813,3073467,3073471,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701094,7439945,11212809,11947978,7997766,7997767,11947982,10879744,10879743,15716528,11874170,11874169,11944175,11944176,17029268,23288611,30704609,26253899,26253900,30351084,22949376,22949375,23249151,23249152,23268110,17011719,17005643,11919065,7984488,7984490,11931450,11896827,7955518,5060047,3065663,3065662,1807032,1807029,3092716,5095184,8003348,11955455,16956817,16956814,16968520,12154619,12154617,16972429,12361474,8352376,8352374,11908546,16962169,16962170,18822610,13410073,13410074,11934314,7986825,5083117,5083118,7986828,11934316,17018307,23234595,17275051,16977002,254381142,7949812,11890026,16974912,17038920,16971747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658087, s2 = 773756, dlinesl.size( ) = 2 s1 = 11658087, s2 = 773756, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11658087, Dl.E( ) = 10, 8.82e-06 seconds used appending s1 = 14218051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11275701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14157717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658921, s2 = 11286644, int(edited[s2]) = 0 s1 = 11658921, s2 = 11286644, d1 = 12, d2 = 10 Dl.O(d1) = 257069674,37459280,29440487,22107110,15995812,15995811,22107108,29440486,38003514,37937579,30845239,30845240,23415424,23415426,26940536,26940538,23413789,17138265,17138264,22040333,15937782,254762161,4632418,2790662,2790661,4632415,7333136,11059309,268081681,22040190,29371101,29371186,31355734,23862057,23862056,31355730,40035645,32442719,24808173,18319714,13003916,13003917,18319715,23413869,23413868,26940591,23415214,17139540,17139541,17139525,17139526,255984259,24808199,32442748,255918334,21644244,15611699,10801125,7136708,7136707,10801120,15611690,21644212,15611715,259324757,79869432,66468294,54293043,43645639,43645641,54293046,66468297,263785139 Dl.O(d2) = 273393054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658921, s2 = 11286644, dlinesl.size( ) = 14 s1 = 14094291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10839802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659489, s2 = 11099222, int(edited[s2]) = 0 s1 = 11659489, s2 = 11099222, d1 = 12, d2 = 8 Dl.O(d1) = 201378015,194354426,186154409,176745949,166112324,272735822,186154414,176745952,166112326,271589978,141720262,142269690,128918090,128918091,142269691,154356255,141706689,128358734,114482115,114482116,270071970,141706688,154356253,166103176,166103174,166103175,176738205,186147745,194348484,186147743,186147744,194348486,262550852,212157417,216138996,219437762,222224045,264671304,224615867,226692769,227806989,227806990,226692765,226692766,227806992,225919584,223755897,221259710,274169211,210664598,210664597,214878562,214878558,210664595,205506084,205506085,210664596,210664600,264459544,184049987,184049986,262618309,151668607,261637650,84008399,259256995,84008393,84008394,97877063 Dl.O(d2) = 257395603,46421062,46356671,36498588,28035613,20914763,15009379,10339316,6806490,4268849,4268851,3724021,3724022,5954889,6831840,5382995,5382994,6775201,6775200,4246790,4246789,6775210,9071426,13288537,15073048,15073049,13278643,13278644,17888983,14117187,14117188,19689528,26427006,34304637,43405918,53932770,66003158,79371126,259062559,53010997,53010996,46338949,36482884,28021444,255360345,10287870,10287871,10287872,6762918,4238301,4238300,6762916,10287869,14953880,270155400,28021443,256809591,46338948,57686096,61463046,61463045,54709836,43966019,34690732,268814531,43966025,34690737,26696072,19875756,14240541,14240540,255252910,33458679,25686740,19062921,19062920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11659489, s2 = 11099222, dlinesl.size( ) = 14 s1 = 10950912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039469, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11659905, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14108195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108195, s2 = 14165651, int(edited[s2]) = 0 s1 = 14108195, s2 = 14165651, d1 = 10, d2 = 5 Dl.O(d1) = 101970518,116017032,129916561,143247604,155798838,167427702,263246589,195248501,202143892,207939704,211720899,206771228,200780029,193680117,185398725,175909017,258029590,153398464,140716842,127360789,113491059,99480440,255384408,59207069,47807674,37884187,37884186,37884188,29315323,23751536,23751535,31234729,39910546,49929304,61408557,74188065,87792064,101764827,115810870,129709532,258029592,137139242,259840258,183220668,191805073,199187195,204211638,197726552,190115696,181300667,171263866,160027199,147763201,134632224,120834959,106586574,92288396,78261491,64988024,257225275,256668281,25766226,255279697,9351542,254936261,19126617,268413585,22762818,30149398,30149397,38731113,30491750 Dl.O(d2) = 16826087,11766125,11766126,12799745,18054935,23078195,26097577,19408420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108195, s2 = 14165651, dlinesl.size( ) = 2 s1 = 14108195, s2 = 14165651, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14108195, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10411010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10411010, s2 = 14165553, int(edited[s2]) = 0 s1 = 10411010, s2 = 14165553, d1 = 4, d2 = 7 Dl.O(d1) = 233401797,232206499,230882567,230413073,228858292,227093239,225071408,222744682,220037552,216832526,212966752,208237795,202503883,195679230,187702127,178550025,168192332 Dl.O(d2) = 144278594,131041299,117243536,103127634,259563814,75328284,89057157,103127628,98932426,256567746,256058856,47309807,254883512,22999885,254622326,38994312,255604704,66845425,54586471,54586470,66845424,271144059,136716062,272169732,108671068,108671067,94384280,94331557,80275069,80275070,70701771,57984321,46907473,37030153,28531962,28531961,37030150,35062447,26979177,20090688,20090687,18516847,13156332,8967417,8967415,13156328,18516841,25054307,32745143,39218442,268969897,59120044,59120045,49436995,49144776,39218264,257014557,49287319,39360288,39360286,49287314,60688752,71423487,58690489,58690488,71423485,73246380,60499412,49095701,39165553,39165554,47312469,55376770,44530595,39165657,37399776,31092356,31092355,39770523,46279732,36426671,36426672,268617967,21585259,28858644,37399837,255941620,35154423,27068592,27068590,35154416,44530578,46510544,36643154,28168019,20987883,15075068,15075066,20987876,28168004,36643130,39165658,30567856,23150468,23150467,256329986,49095815,60499499,67716458,55376776,254958024,37393409,28853062,21580818,21580819,15562093,15562091,17296353,12174951,8206753,8206754,12174954,255548141,21191349,21191348,28412841,21586817,15561668,10763703,10763706,15561655,21586798,28860577,37402011,37400065,28859101,21585610,268073943,7111498,7111497,10763117,255413595,28859095,30182167,22792810,22792809,30182165,38765639,41701463,41701462,48687698,48687697,48687734,60083659,60270520,48878610,38959747,38959746,32081468,24507593,18079034,255609173,32081467,257709413,50988377,62610733,75548741,89304583,94384296,94384295,108671088,120923071,106670441,271579725,134721345,147846952,160100880,171327255,181355722,183068857,173218321,273049015,149906929,136766247,260378073,108671072,260378075,136766248,140510360,127163585,113303833,99300252,85355173,71764846,59020825,47616689,37691812,29129725,21822785,15756015,15756016,21822788,29129727,37691813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10411010, s2 = 14165553, dlinesl.size( ) = 2 s1 = 10411010, s2 = 14165553, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10411010, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 15157165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218140, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12032652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11660385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660385, s2 = 11251908, int(edited[s2]) = 0 s1 = 11660385, s2 = 11251908, d1 = 0, d2 = 8 Dl.O(d1) = 264038619,209008443,265281323,274486923,266761429,266673172,222343849,264779258 Dl.O(d2) = 177156842,186504981,177156846,166583248,154882695,142248620,128896945,259422196,60600624,49199990,39273764,268649646,28532795,23418071,23418070,23141058,255133875,7889033,7889031,11810529,16880880,21310659,15340833,10596136,10596137,15340837,21310664,17018497,11934525,7987016,7987017,6990025,6990026,10595658,11810526,11810525,15340826,15339427,10594851,6989431,6989432,10594852,15339429,21268006,15306608,11810706,7889204,5010520,5010521,6990045,6990044,255029223,15340823,11934527,7987022,7888985,7888986,11810477,10595504,6989917,6989918,7487829,4731993,4731992,4392744,254497955,10596120,255395641,28533179,25358248,18775885,13371553,9138932,5980451,5980449,6990115,10595765,11810669,16881033,16153845,11222870,11222872,255068760,23141317,21119856,15172485,11849518,7919816,5035217,5035219,7919821,254771080,10594628,10594934,10594935,10595821,10595820,15340525,21310437,17712820,12529812,8490999,5491698,3382148,3382150,5491700,8491003,12529817,10464062,6897533,6897534,10464065,15172528,15172525,12529936,8491085,8491086,12529939,17712970,24068828,17712892,17712893,24068830,28330945,21119785,15172421,15172420,15340252,10595938,10595937,11022876,11022875,15102901,10416851,10416849,15102898,254718116,254327512,11386558,16362088,22536220,28805604,30831444,254490180,255013904,268407411,16361473,12038728,8093471,8093468,11387088,16362897,22536768,28247265,21539041,15523324,15523323,21539039,17470738,17470739,255804381,21047170,21047175,15117837,15117836,17130402,17130401,17640409,23986216,21305977,21305976,21538407,21538675,15523066,10735905,10735906,15523069,21538681,28527813,21305702,21305703,28527818,28297998,28297999,29534576,22191415,16476979,11480268,11480267,16476977,22673303,28805457,28805455,28805400,21538587,21538586,22536820,22536821,22536815,20923245,20923243,23358612,21539286,15523470,10736147,7093437,7093438,7093309,7093310,5444521,5444520,8433322,12464691,17640456,23986280,31483161,23986260,17640440,12464683,8433317,8433315,12464677,17640433,13920385,9554533,9554532,13920381,19452170,26150573,30145096,268255516,21538492,28805291,28805287,21538488,15522946,15522945,21089972,21089971,28297669,35037739,26957743,26957745,28297822,28297821,36794995,42607626,47253473,37343886,28805836,21539045,21539046,21538655,21538654,28805469,37343589,36838207,28341419,28341418,29493030,29493031,38057035,38609417,255454464,29493135,30801822,39406505,42582336,53022738,44455351,35080358,35080359,29492995,255451997,16033677,22153940,29493000,29611392,22261022,16121159,16121158,22261019,29611391,37386789,28846507,28846506,37386784,38197636,38197637,38197947,37387979,37356019,28816662,21547788,21547787,28226142,21029936,16136365,16136363,22279772,268635179,38196719,38196720,37343494,28805368,28805367,29630639,22278807,22278808,29630640,38197393,48108630,48108581,38197349,38197350,48108584,47970166,38057091,29493112,22154060,16033783,11133037,11133038,16033786,22154063,29493114,38057094,47970086,38056936,29492898,22153828,22153829,256385083,256396255,29630642,29629745,22278022,16135115,11208575,11208572,16135104,11209173,7437483,7437484,11209179,16135142,22277842,19807076,14187682,9753100,9753101,14187686,19807082,16033588,16033587,16034001,11133176,7384729,4665430,4665429,7384725,11133163,16033976,21575033,15551814,10756091,7106238,7106239,10756096,15551824,21575047,16855994,16855996,255083438,30533631,28847464,28847465,21576262,15552927,10756943,7106878,4474368,2688094,2688096,254541490,268617757,19540379,13991646,13991645,15947597,11076427,11076426,11068149,11068148,15949199,15965221,11081035,11081036,11075909,7344236,7344237,11064385,15944441,20216084,14506566,14506565,20216080,22040638,21604953,21604954,254515748,10800238,15610304,15610240,11033988,11033989,15912276,11068397,11068396,15949467,22052907,29368759,29368758,37935168,37948431,37948430,47866505,37960817,37960815,42284701,47877623,37959699,37959698,47877621,37962910,37962909,37956976,29392084,29392083,29401236,29401238,33293602,33293603,29395846,29367799,22037018,22037015,29367796,29377459,37942904,260577537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660385, s2 = 11251908, dlinesl.size( ) = 2 s1 = 11660385, s2 = 11251908, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11660385, Dl.E( ) = 10, 9.06e-06 seconds used appending s1 = 11660659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660659, s2 = 11655398, int(edited[s2]) = 0 s1 = 11660659, s2 = 11655398, d1 = 19, d2 = 22 Dl.O(d1) = 218956600,215585185,211505774,273981761,200473234,200473233,206513493,211505772,215585183,217491550,264624124,264352354,197282589,263712346,170565203,159227592,146854216,146854215,146854217,159227594,170565205,263338579,197282590,203841149,209316045,206825302,200843367,193755299,185489159,176016848,261852546,261852544,153531233,140854078,260738218,270910464,258280036,85660280,258902486,260141484,153531232,156001467,156001468,261310285,116221106,102159702,88168741,258280039,61770114 Dl.O(d2) = 42210316,47789606,37865094,29295903,21969408,15876020,15876019,21969406,24313940,17928395,12703156,8630561,254423207,2095298,1205709,1205711,1188602,667802,370436,202802,110606,60713,60709,34351,34347,35498,35494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660659, s2 = 11655398, dlinesl.size( ) = 8 s1 = 11660705, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9626714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9626714, s2 = 9587565, int(edited[s2]) = 0 s1 = 9626714, s2 = 9587565, d1 = 5, d2 = 6 Dl.O(d1) = 225954736,265822185,227838916,229493968,230964635,232283106,232283107,233473460,234554502,235538708,236435172,237253202,236543998 Dl.O(d2) = 234687200,233622553,232451811,274359328,229712218,228084140,226228693,224097327,221639977,218778413,215389388,211288232,206269210,200198511,193009633,184630581,175036517,164230683,152357959,139637308,126266651,112403720,98414561,84492885,70928638,255167302,36964457,28465370,21242922,15275774,15275775,21242925,28465373,22549664,22549665,23428880,17151726,17151508,15265704,10533276,10533278,15265713,10977346,10977345,15273941,15273942,15273979,15272990,10551050,6958657,6958215,4371788,2619019,2619017,4371781,2619084,2614981,2614983,4363625,6943488,10528178,10528533,10528537,10423890,6872514,6872519,6955321,4370144,4370141,6955298,6955125,6955124,10534514,15267186,21235962,15285930,10551502,6959038,6951080,4367808,2617054,2617055,4367811,6951085,268068697,10558061,15293367,15261235,10529455,254494905,4364022,6944265,10529450,15261225,15296969,10561518,6965974,4376396,4376395,6965972,10561515,15296964,17160676,23432288,21245950,15279511,15279510,15295297,10559878,6964877,6964879,10559890,15274309,21241686,28462026,21251034,21229744,21229745,21264495,21264498,17153239,17153241,23430087,23428884,17151727,17151508,15265704,10533276,10533278,15265713,10977346,10977345,15273941,15273942,15273979,15272990,15272992,21240669,15284974,15284973,10551629,10550922,267881491,4372009,6958554,10548187,8472365,8472366,12506808,15267880,10560060,6964988,6964992,10560081,15295514,10568073,10568078,15266623,10534050,10534052,10539121,9677013,6364379,3993280,3993278,6364366,9676983,14071118,19634283,15305756,15305755,21244479,28466516,29905818,254843080,21245950,15279511,15279510,15295297,10559878,6964877,6964879,10559890,15274309,21241686,28462026,21251034,21229744,21229745,21264495,21264498,17153239,17153241,23430087,23428884,17151727,17151508,15265704,10533276,255023629,18971413,13536217,9265856,9265857,10533484,6955138,6955137,10546075,10559562,10559561,10546127,10546129,10534613,10534612,15267306,15284162,10549701,6957658,6957662,6958020,6958022,6954595,6954594,9252203,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110548,6561390,9982867,14507679,12059490,8108379,5194890,4450761,2673839,1548865,1548866,2673843,4450776,7069149,9254370,6070413,3798085,2274911,1319198,752521,427426,241248,241246,427418,752499,1317742,751835,427125,241129,241130,427129,751847,1317770,2272272,3793467,6063067,9257455,12069057,8115774,8115776,12069064,8854935,8854934,9248749,6057224,6047990,6047991,5771264,3595092,3595093,5771266,8854851,9254938,9254937,12064676,8112381,8112380,5197315,5197316,6061672,6049670,3785679,3785678,6049666,5071281,3074598,1793629,1023184,576540,576537,1023175,1316505,1316507,1316015,751016,751015,1316044,2268814,3786896,6051639,9240034,13505032,17298163,17298164,23610779,28483472,28483473,36980527,46859082,258037683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9626714, s2 = 9587565, dlinesl.size( ) = 2 s1 = 9626714, s2 = 9587565, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 9626714, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14301429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10471535, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11660907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11660907, s2 = 11654090, int(edited[s2]) = 0 s1 = 11660907, s2 = 11654090, d1 = 18, d2 = 15 Dl.O(d1) = 71465377,85037240,98962137,112951228,126805241,140155552,152849683,164685993,175444106,184988073,263221692,206514606,211506779,215586022,218957463,221802775,224243475,226359780,228203253,229822098,231259815,274564518,233714728,234774526,235740082,236618263,237418385,238145146,238807057,239415262,239976875 Dl.O(d2) = 256023880,19101594,19101593,25734300,31443302,40122604,50143677,256011538,32324279,32324278,41138350,51322290,63001496,61625448,61625447,72724390,59986998,48595111,38678730,38678731,48595113,59987002,72724394,71667142,58945484,47562615,47562616,258088391,258287494,70321939,61716453,61716454,74497761,63885710,52067483,41753464,32832474,25127476,25127477,32832475,36433447,46286484,57631199,70321934,70312455,256517166,36425048,27966534,27966535,27961933,20799962,20799961,27961931,36420096,46272728,57617249,47562332,37656268,29106654,29106655,23951764,267840192,8399383,8399382,12427428,17605921,23951544,31443018,23951595,23951596,17605923,17605922,23951766,31443309,269041231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11660907, s2 = 11654090, dlinesl.size( ) = 14 s1 = 10846417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10403113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10474349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11661267, s2 = 11154368, int(edited[s2]) = 0 s1 = 11661267, s2 = 11154368, d1 = 14, d2 = 12 Dl.O(d1) = 270301699,257469751,28984454,21701623,21701622,28984440,255421083,10841557,255421081,28984438,37528692,47436439,47436480,37528715,28984455,21701623,21701622,28984453,37528713,41304376,258353331,269790705,58823047,47436471,47436470,58823046,71551113,71551123,257196702,37528716,46390273,46390274,57740396,48141428,38231198,38231199,37958751,29394131,22063732,15959205,11076196,7344462,7344459,11068562,7339202,4635840,2792490,1619870,1619869,2792484,4635828,7336602,4634323,4634322,7336595,4634330,4634331,7336620,8940985,11068469,7339142,4635808,4635805,2793617,1620439,921541,519553,291295,161175,88616,48718,48717,88613,161169,291282,519520,921462,1620285,2793329,2791149,2790623,267765935,519231,291153,291152,519229,920828,1618947,2790610,4632310,7332937,11059028,15937310,22039768,15945238,11064994,7336671,7336670,11064992,15945235,11076040,7345429,4639433,2794424,2794423,4639429,4633111,2791044,2791045,4633114,7334422,7338551,7338552,4638462,2793905,1620596,921609,519584,519583,921603,1620583,2793883,4632218,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,7334524,11061620,15940932,11831838,11831839,16906959,23170382,21894380,21894381,29207848,29207854,29623311,24094863,17736726,12549571,12549572,16170168,11238002,7458830,5535855,5535856,8537917,12538214,8550479,8550478,12599710,11241429,7461457,4714971,2840417,1647656,936805,936804,1647654,2840411,2943411,2943408,4884805,7717783,11594053,11817306,7895327,5016204,3034265,3034264,3763835,3763836,3438970,2034685,1998278,1142157,1142156,1998277,1997343,1997342,1996724,1996725,2023921,2023920,3383393,3425543,2023927,2010427,1149642,664488,368602,201862,201863,368605,664491,646810,646813,359465,196842,196844,359472,647922,1154871,2018601,254415159,8534967,12581982,17777739,24142135,31648369,40337018,50364239,61848630,258284783,259531875 Dl.O(d2) = 258284785,38776261,255938725,22802117,24192792,21663132,15627432,15627431,15627713,15627714,21663354,15730000,15627717,15627718,12302460,9894628,9891467,6499760,6499762,9891471,14385953,20069693,20074488,14392569,9898851,9898852,268228369,23581339,268434487,21307099,15337485,15337486,21307102,28529388,37027413,28972535,28972536,28972538,21690315,15650629,15650630,21690316,28972539,24844746,24844747,32486829,256120156,32486837,32486836,31178136,23688906,17367049,17367047,23688902,31178133,32174075,38268879,31810959,31810958,40506523,32176498,32176497,39937774,31262720,31262719,31186579,23696822,17374699,12242752,8268064,269794036,254866511,5500601,3390232,254189181,640488,355536,194853,194854,355539,640495,364741,364740,658028,1172300,2044740,3451351,5014234,254250521,1005339,566530,566529,566949,317522,175545,175546,317528,317556,317554,567001,637510,357357,357356,643837,1147647,1169467,254137343,356298,195218,195217,267746447,368020,663438,1181211,267848757,3440678,5501044,8499512,8520464,5518772,3406368,3386245,3386246,3386032,1994477,1994479,1144698,1144697,2002541,1928850,1102051,1102052,1928852,3279249,5334721,8267900,12242575,12241385,12241386,12238590,8264234,5331957,3277372,3277373,5331962,8264241,12238605,17370827,17372499,255171263,8311275,5362842,5362841,8311271,8323445,12305193,254844649,5347114,3286161,3286160,5347084,8288621,8288734,5347150,3286184,3280243,3280244,5336275,8269870,7799135,4945731,4945730,7799129,6018100,5335851,5333692,5333691,5366859,5366857,8317103,12313203,12244955,12244956,12244974,8315651,8315653,8309013,8267287,8267284,11233218,7455815,4711015,2838025,2838026,4711017,4711963,4711962,7457115,11236070,12273382,10757311,7107168,5346768,5346769,5576213,5346739,3285911,1932372,1932371,3285904,5346722,7460027,7460025,11239838,255464495,29663106,24185015,255748016,16166681,11234149,7455305,4710605,2837747,1646191,936074,254166331,2837742,4710599,7455294,5523442,3410094,3410093,5523438,8524686,12570386,17764007,24126899,18211588,12916834,8786573,5722717,254345108,12916828,12160453,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190251,11339797,15597760,10790191,10790192,14562777,16108186,11513598,7658997,7658998,6017152,3764088,2255235,1308937,1308940,2034810,2042547,2255254,1993338,1993335,1995277,1140251,750402,750406,936082,936085,567381,567383,354964,354965,639292,1139497,1141286,1141290,1996947,1996949,3033477,1765357,1005857,566856,566857,1005865,1765369,3033489,5015366,3472224,2059615,254283575,3448899,2042587,2042588,3448900,254410607,1991045,1991044,3381321,5013927,5013926,5490736,5520231,5520230,7991259,7991257,11940128,17025128,23284251,23689969,19100793,13637254,13637252,19100789,25733352,33512506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11661267, s2 = 11154368, dlinesl.size( ) = 18 s1 = 11632181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632181, s2 = 6263725, int(edited[s2]) = 0 s1 = 11632181, s2 = 6263725, d1 = 17, d2 = 78 Dl.O(d1) = 245727793 Dl.O(d2) = 267558672,245960288,245847649,245847648,245960287,275033967,246166259,267526505,267491755,245599250,245461260,245461259,267439284,245235949,267449291,267439284,245235949,267449291,267439284,245074269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632181, s2 = 6263725, dlinesl.size( ) = 24 s1 = 14020632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020632, s2 = 11069326, int(edited[s2]) = 0 s1 = 14020632, s2 = 11069326, d1 = 20, d2 = 14 Dl.O(d1) = 254141827,380857,209175,209173,224782,125828 Dl.O(d2) = 254140711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020632, s2 = 11069326, dlinesl.size( ) = 22 s1 = 14025083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14025083, s2 = 11129780, int(edited[s2]) = 0 s1 = 14025083, s2 = 11129780, d1 = 15, d2 = 6 Dl.O(d1) = 15114408,10425345,10425346,8613733,5599034,5599033,8613731,12682096,17902539,24283306,31797191,40492130,37708113,29147836,21839797,15770136,15770138,21839801,29147847,37708134,39138509,30539363,30539349,23120461,23120462,30539353,28722668,28722667,37253581,47158387,47158330,37253537,37253534,39353024,39353023,31508397,31508398,40194164,40492166,40492164,36736192,28241181,24579863,24579864,31797207,31797205,37992549,29430413,22098835,15989676,11100081,11100084,15989685,21360225,15989820,15989819,21129446,22098861,22098862,29430455,37992508,46983176,47908598,37992404,29430265,29430267,37992408,30258206,22862554,22862553,30258201,38841807,47947031,38033237,29470439,22134653,16018740,16018739,22134650,29470433,37992503,37992502,46983189,37099184,37099185,29470243,255887612,22098776,15989648,11100068,7361262,4649843,2800849,254349741,7361261,11100065,15989643,22098770,22098730,15989623,11100052,11100053,255449089,22098789,23810288,21360236,15382081,15382082,21360239,28592168,21466523,16635605,11604268,11604267,16635599,22862550,30258195,24076936,24076937,30354959,22953122,22953121,29430318,28722700,28722699,29430492,37099188,39268995,46813485,46813484,37253730,31029557,24283258,17902497,17902498,24283260,22098969,15989762,11100123,11100122,15989757,12682042,8613668,8613669,12682045,17902483,24283241,255887610,22098740,22098739,28592180,28592179,37099203,29430579,22098962,15989752,15989751,22098960,21360248,255828891,37099195,268372878,255577437,17658689,12682063,8613682,5598957,5598956,8613678,12682055,17902506,24283273,29430331,29670359,29670360,38235729,48145726,50290373,40269183,31582271,31582270,28722818,21466600,21466601,24304952,31821454,28569637,21341893,15367319,10617920,10617921,15367325,21341902,28569649,28722736,21466542,15465557,10693905,7064974,7064976,10693911,15465566,21466559,21360217,17063346,11971720,8015998,8015999,11971724,16994235,16994234,23257116,16994242,11908813,7965640,5067765,3071591,3071590,5067760,5370446,5370443,7965764,5067831,3071646,3071645,5067828,7965756,11908984,255085868,30673508,30029818,30029817,30029816,30029815,28818406,28818405,268923821,58659675,258692959,98894693,89711779,75932625,75932626,89711781,103817694 Dl.O(d2) = 145053748,260852754,103817704,89711786,75932628,62951772,51277319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14025083, s2 = 11129780, dlinesl.size( ) = 12 s1 = 16333265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16333265, s2 = 15154411, int(edited[s2]) = 0 s1 = 16333265, s2 = 15154411, d1 = 17, d2 = 0 Dl.O(d1) = 246176440,246076823 Dl.O(d2) = 245859306,267465748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16333265, s2 = 15154411, dlinesl.size( ) = 24 s1 = 11130855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11130855, s2 = 10366692, int(edited[s2]) = 0 s1 = 11130855, s2 = 10366692, d1 = 27, d2 = 17 Dl.O(d1) = 52513538,52513539,257789035 Dl.O(d2) = 105710069,105710070,98802251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11130855, s2 = 10366692, dlinesl.size( ) = 18 s1 = 12103836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563025, s2 = 11467964, int(edited[s2]) = 0 s1 = 11563025, s2 = 11467964, d1 = 47, d2 = 69 Dl.O(d1) = 232012972,232012973,230663847 Dl.O(d2) = 105669869,91446456,77516711,64351412,64351410,64351411,77516709,91446455,105669867,119905641,133774336,147022286,159402972,170750376,176217391,185677368,193928610,264220963,264505628,203977171,209421812,203977169,197449983,189782864,180889314,180889315,189782867,197449989,203977178,209421797,211881548,211881549,213889549,213889548,217557798,220619460,265391596,220619466,217557805,215904720,213889570,213889569,217557819,215904714,215904715,264505626,209421801,213889541,274233631,220619456,217557792,213889544,209421804,209421806,213889548,217557798,220619460,265391596,220619466,217557805,215904720,213889570,213889569,217557819,215904714,215904715,264505626,203977161,197449979,197449980,203977163,209421806,213889548,217557798,220619460,265391596,220619466,274100232,264505628,264358407,213889533,209421795,203977158,197449977,189782860,189782859,197449975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563025, s2 = 11467964, dlinesl.size( ) = 16 s1 = 14142240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142240, s2 = 11650884, int(edited[s2]) = 0 s1 = 14142240, s2 = 11650884, d1 = 7, d2 = 31 Dl.O(d1) = 225938687 Dl.O(d2) = 263951082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142240, s2 = 11650884, dlinesl.size( ) = 44 s1 = 14153848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153848, s2 = 7380293, int(edited[s2]) = 0 s1 = 14153848, s2 = 7380293, d1 = 106, d2 = 12 Dl.O(d1) = 267064624,240253541,266762064,239713145,240253559,240754354,241218179,240754357,240253562,239713147,239713146,240253561,240754335,266929910,241218175,240754362,240754360,240754366,240253575,239713163,239713126,239128608,266549796,237035291,237035290,266549794,266697000,240253533,240754335,266929910,241218175,240754346,240253550,240253551,240754349,266878394,240253553,239713139,239713141,240253554,239713160,239713123,239713124,240253535,240253537,240754338,266878392,239713135,266625820,266549800,239128615,239713137,240253551,240754349,240754342,274803584,239128611,239128612,239713131 Dl.O(d2) = 231949809,266049864,266275148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153848, s2 = 7380293, dlinesl.size( ) = 40 s1 = 16399620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16399620, s2 = 11449430, int(edited[s2]) = 0 s1 = 16399620, s2 = 11449430, d1 = 36, d2 = 73 Dl.O(d1) = 256837121,28332033,21120604,15173051,15173050,21120603,255818489,36955739 Dl.O(d2) = 163854979,151986155,261069726,259269630,125930712,261622231,263836727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16399620, s2 = 11449430, dlinesl.size( ) = 90 s1 = 14057282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057282, s2 = 12444399, int(edited[s2]) = 0 s1 = 14057282, s2 = 12444399, d1 = 0, d2 = 6 Dl.O(d1) = 46992798,58362965,70944611,71367605,59386619,58630879,47237652,47237649,49152937,59342478,70549123,60854026,49452332,49452333,53134633,54871843,67191281,62470221,50872250,50872251,44768259,44768261,55677353,61719311,60790546,59386657,47997660,38085479,29520915,22178408,22178407,29520913,31534449,31534450,40220400,47951113,47951111,257428532 Dl.O(d2) = 59342462,59342463,72076474,81565985,81565984,74500747,74500745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14057282, s2 = 12444399, dlinesl.size( ) = 8 s1 = 11565055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565055, s2 = 11590342, int(edited[s2]) = 0 s1 = 11565055, s2 = 11590342, d1 = 28, d2 = 27 Dl.O(d1) = 266172874 Dl.O(d2) = 238775850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565055, s2 = 11590342, dlinesl.size( ) = 30 s1 = 11126543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126543, s2 = 11287710, int(edited[s2]) = 0 s1 = 11126543, s2 = 11287710, d1 = 3, d2 = 9 Dl.O(d1) = 40751158 Dl.O(d2) = 102696055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126543, s2 = 11287710, dlinesl.size( ) = 14 s1 = 12033506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10370362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11661756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11026691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026691, s2 = 11418746, int(edited[s2]) = 0 s1 = 11026691, s2 = 11418746, d1 = 37, d2 = 65 Dl.O(d1) = 257181389,64114907,270506977 Dl.O(d2) = 114132467,260617265,100098015,86130641,270850355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10372299, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12033552, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13989100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10375381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662051, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11629155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10376908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10376908, s2 = 9121941, int(edited[s2]) = 0 s1 = 10376908, s2 = 9121941, d1 = 77, d2 = 50 Dl.O(d1) = 229336155,227657148,227657149,227657162,227657161,229336162,229336161,227657166,264371438,223543694,225741320,225741316,225741317,227657156,229336166,227657164,227657163,229336168,230824883,229336159,227657151 Dl.O(d2) = 255222702,255222700,18189050,12900679,8775233,8775234,5895399,3682224,2204346,2204345,3558314,3558315,5716044,8776551,12900722,8775273,5715075,3557612,2119609,1222073,1222070,2119605,3557605,5715040,5715021,3557583,2119595,2119596,3557587,5715031,8775205,9271249,9026408,9026407,13236012,18189024,18619671,13235995,9026395,6850879,6850878,9024591,11710251,13236025,9026415,9026416,7812398,7812399,7812379,7812380,11710266,7814546,4957294,254110306,254111654,11712478,16759453,22991589,18630377,15619053,10806688,10806689,15619022,10806672,10806671,8762545,8762543,12883697,18167094,13251554,13251552,13142954,13142953,18499125,17603717,17603714,18639650,18647086,13259040 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11662153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10380169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11564449, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10381897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156312, s2 = 11618890, int(edited[s2]) = 0 s1 = 14156312, s2 = 11618890, d1 = 17, d2 = 14 Dl.O(d1) = 267402696,245908378,245792038,245792039,245908380,246017886,246120536,246218430,275005520,267420236,246017893,245908383,245792046,245667781,245667780,245792044,245792038,245792039,245908380,246017886,246120537,246218432,246218435,267436676,267467196,246310633,246218428,246218427,246218434,267436674,246218436 Dl.O(d2) = 246120541,246017893,245908383,245792046,245667781,245534511,245392846,267247948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14156312, s2 = 11618890, dlinesl.size( ) = 6 s1 = 10383032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10383032, s2 = 10383036, int(edited[s2]) = 0 s1 = 10383032, s2 = 10383036, d1 = 9, d2 = 8 Dl.O(d1) = 6297751,3945256,2362013,1367799,779068,441961 Dl.O(d2) = 438374,441976,779137,1368180,2362889,3946514,6299047,9594194,8295465,254100016,1934177,1104787,1104788,1851942,3163638,3163662,3163668,3159827,3159794,3159792,5178784,5180208,8084848,7095944,7095943,8082772,5178818,5178817,4665128,4665129,5178793,3160639,1850252,1850248,3160631,5180057,7433957,5180351,5180350,5180075,5180074,8084609,12025256,12025453,8084744,8084745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10383032, s2 = 10383036, dlinesl.size( ) = 10 s1 = 13989450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10383970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10383970, s2 = 11502286, int(edited[s2]) = 0 s1 = 10383970, s2 = 11502286, d1 = 29, d2 = 0 Dl.O(d1) = 231814959,274529111,265265915 Dl.O(d2) = 216881981,274265452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10383970, s2 = 11502286, dlinesl.size( ) = 20 s1 = 14157603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157603, s2 = 10384274, int(edited[s2]) = 0 s1 = 14157603, s2 = 10384274, d1 = 24, d2 = 9 Dl.O(d1) = 275097533,267716306,247964630 Dl.O(d2) = 267715662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14157603, s2 = 10384274, dlinesl.size( ) = 20 s1 = 10385040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062800, s2 = 11103382, int(edited[s2]) = 0 s1 = 14062800, s2 = 11103382, d1 = 6, d2 = 6 Dl.O(d1) = 257802021,77040165,63927440,63927439,52107750,257766297,46297024,36443675,36443677,32872377,32872376,41793545,52107674,62502343,57641563,52107707,41793578,41793577,32872422,32872423,41793624,257766297,52107801,41793685,41793682,32872471,25164797 Dl.O(d2) = 257802021,77040165,63927440,63927439,52107750,257766297,46297024,36443675,36443677,32872377,32872376,41793545,52107674,62502343,57641563,52107707,41793578,41793577,32872422,32872423,41793624,257766297,52107801,41793685,41793682,32872471,25164797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062800, s2 = 11103382, dlinesl.size( ) = 2 s1 = 14062800, s2 = 11103382, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14062800, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11103381, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10385388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10385388, s2 = 11957686, int(edited[s2]) = 0 s1 = 10385388, s2 = 11957686, d1 = 7, d2 = 12 Dl.O(d1) = 224624717,265037684 Dl.O(d2) = 264560284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10385388, s2 = 11957686, dlinesl.size( ) = 14 s1 = 13989559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13989559, s2 = 10141114, int(edited[s2]) = 0 s1 = 13989559, s2 = 10141114, d1 = 91, d2 = 86 Dl.O(d1) = 223121409,265633095,225389572,225389571,225389566,223121394,220496345,217410602,217410604,220496353,223121393,220496347,220496346,220496332,220496331,217410590,217410589,217410602,217410604,220496352,274261992,220496351,274177890,213711346,209203620,209203619,263831530,197137233,203711563,209203638,213711369,217410604,220496353,223121393,220496328,217410571,217410570,220496327,217410578,217410577,220496336,220496341,217410580,213711361,213711362,213711357,213711358,264944292,217410555,213711346,209203620,209203619,263831530,197137235,203711567,209203646,213711331,209203641,203711564,203711561,209203633,264708492,213711369,217410604,220496353,223121393,220496347,220496346,223121399,225389568,225389567,223121405,223121404,274261992,217410597,217410599,220496343,217410583,213711353,209203625,203711556,264156506,203711549,264862589,209203615 Dl.O(d2) = 4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,14095079,19663704,22779751,24930502,18419230,18419232,24930504,28207807,36698638,255611500,32592103,32592102,267929870,26632584,22631536,16444486,11457510,7620912,7620911,11457507,12030388,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122178,17122430,19818901,19818902,19819962,26386365,26386366,21103863,17747239,12557367,12557368,17747242,20192438,24106019,267895464,40291564,50312389,61792464,74576645,79383516,257562218,43418411,34317087,255721091,14124327,9717289,6392635,6392634,6151789,4011792,4011791,6392677,9717390,13709429,19195523,25851112,33655941,26438511,19699194,14124414,9717337,6392655,6392658,9717347,14124439,19699237,25695980,25695981,19070723,13614791,9322568,6106745,3820959,3820957,5601008,3476747,3476746,5601003,8616508,268120045,24287623,22253366,16115215,14577559,14577560,20312955,16115312,11194324,7427731,4693626,2828074,2828076,4693639,7427755,11194387,15700493,15700492,21754240,15700505,15700503,19696696,19250036,19250037,23994136,18061701,12805243,12805242,18061662,18061663,24484431,255506712,30079372,25912384,19250594,19250593,25912383,20312972,20312973,27244271,255335250,17489698,17489697,256014585,39993439,33718241,26435853,26435852,29164907,21856137,21856136,29164905,27009408,27009407,33719279,40266577,40266575,37093926,28587723,25912379,19250952,13755474,9425583,6175970,3864516,2314989,1342732,766668,766666,1342724,2314969,3864483,3864418,2314939,2314938,3864414,6175788,9425268,13754965,19250179,20190721,14486962,9967767,9967768,9967761,9967759,14486939,20190679,27088826,30365662,22963620,20200759,16115252,16115254,22253435,23815984,17481199,12325230,8325715,5373208,3304005,1943785,1943786,3304009,5373213,8325728,12325261,17481258,256013501,257064861,257647421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146320, s2 = 10385784, int(edited[s2]) = 0 s1 = 14146320, s2 = 10385784, d1 = 34, d2 = 19 Dl.O(d1) = 232587390,274664249,233176648,234281751,264134692,263441176,230596631,262092606,225364652,223089192 Dl.O(d2) = 255752906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146320, s2 = 10385784, dlinesl.size( ) = 26 s1 = 10385904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10385904, s2 = 12652866, int(edited[s2]) = 0 s1 = 10385904, s2 = 12652866, d1 = 20, d2 = 15 Dl.O(d1) = 165263163,175964516,273346752,140783703,260578995,72010250,258735411,99544516,113556456,127427575,140783710,140783708,140783709,153463961,165263069,165263070,153463957,140783702,127427569,113556454,99544514,99544513,113556451,127427565 Dl.O(d2) = 273346755,155078191,155078192,262723433,165646400,262307720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10385904, s2 = 12652866, dlinesl.size( ) = 24 s1 = 11662636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989602, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11662691, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14078245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078245, s2 = 11427178, int(edited[s2]) = 0 s1 = 14078245, s2 = 11427178, d1 = 35, d2 = 26 Dl.O(d1) = 257173298,105044890,259003816,146294136 Dl.O(d2) = 262449112,262449110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078245, s2 = 11427178, dlinesl.size( ) = 50 s1 = 11381733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381733, s2 = 11357774, int(edited[s2]) = 0 s1 = 11381733, s2 = 11357774, d1 = 1, d2 = 1 Dl.O(d1) = 154301793,141647986,260638405,100398802,258797207 Dl.O(d2) = 154301793,141647986,260638405,100398802,258797207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381733, s2 = 11357774, dlinesl.size( ) = 2 s1 = 11381733, s2 = 11357774, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11381733, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11534117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12034010, s2 = 10391700, int(edited[s2]) = 0 s1 = 12034010, s2 = 10391700, d1 = 8, d2 = 4 Dl.O(d1) = 214257855,209865841,209865840,204508178,204508179,264182494,217863972,217863978,273852046,204508182,204508181,209865840,204508178,198082371,190540755 Dl.O(d2) = 217863978,273852046,204508182,204508181,209865840,204508178,198082371,198082370,190540756,181804367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12034010, s2 = 10391700, dlinesl.size( ) = 2 s1 = 12034010, s2 = 10391700, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12034010, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11105189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105189, s2 = 11057826, int(edited[s2]) = 0 s1 = 11105189, s2 = 11057826, d1 = 0, d2 = 4 Dl.O(d1) = 35085276 Dl.O(d2) = 9919989,6519691,6519689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105189, s2 = 11057826, dlinesl.size( ) = 14 s1 = 13989839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14112787, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14044681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044681, s2 = 11248512, int(edited[s2]) = 0 s1 = 14044681, s2 = 11248512, d1 = 25, d2 = 23 Dl.O(d1) = 30817560,39422817,49352456 Dl.O(d2) = 101121278,115199149,262311583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044681, s2 = 11248512, dlinesl.size( ) = 22 s1 = 11099657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099657, s2 = 10393908, int(edited[s2]) = 0 s1 = 11099657, s2 = 10393908, d1 = 8, d2 = 6 Dl.O(d1) = 255860808,13399157,13045940,8886498,5796172,5796174 Dl.O(d2) = 5695055,3543386,267765176,686358,382978,210758,254075935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099657, s2 = 10393908, dlinesl.size( ) = 10 s1 = 11539637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11539637, s2 = 11538954, int(edited[s2]) = 0 s1 = 11539637, s2 = 11538954, d1 = 6, d2 = 9 Dl.O(d1) = 226407876 Dl.O(d2) = 264483715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11539637, s2 = 11538954, dlinesl.size( ) = 14 s1 = 11577821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577821, s2 = 11613402, int(edited[s2]) = 0 s1 = 11577821, s2 = 11613402, d1 = 23, d2 = 26 Dl.O(d1) = 266544441,237749584 Dl.O(d2) = 267061739,241186764,241618239,241618223,266974905,240217719,239674451,239674452,240217721,240217723,239674453,266974907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577821, s2 = 11613402, dlinesl.size( ) = 40 s1 = 11636139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636139, s2 = 11639902, int(edited[s2]) = 0 s1 = 11636139, s2 = 11639902, d1 = 1, d2 = 37 Dl.O(d1) = 246344279 Dl.O(d2) = 246657672,246725292,267592183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636139, s2 = 11639902, dlinesl.size( ) = 38 s1 = 11639901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639901, s2 = 11636140, int(edited[s2]) = 0 s1 = 11639901, s2 = 11636140, d1 = 30, d2 = 0 Dl.O(d1) = 267592182,246710121,246641402 Dl.O(d2) = 246324626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639901, s2 = 11636140, dlinesl.size( ) = 32 s1 = 11517797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517797, s2 = 14026512, int(edited[s2]) = 0 s1 = 11517797, s2 = 14026512, d1 = 36, d2 = 1 Dl.O(d1) = 264753372,196204936 Dl.O(d2) = 51309784,256382676,32313766,41126868,256527870,40253351,40253353,50118287,40098554,31418600,23928595,23928596,25807592,20962763,20962761,28140900,23928561,23928562,31418556,28531128,21308517,15338638,15338639,21308520,28531135,36614611,36614612,36774793,28278945,28278944,21917188,21917189,29234582,37797107,44727436,41739515,32818690,25114918,25114917,26676390,26676389,34669634,39190422,40085404,254728948,49754365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517797, s2 = 14026512, dlinesl.size( ) = 36 s1 = 11214989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10395822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10396184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10396219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10397075, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14281921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180469, s2 = 10397512, int(edited[s2]) = 0 s1 = 11180469, s2 = 10397512, d1 = 40, d2 = 42 Dl.O(d1) = 256062394,255214660,31864241,31864242,40566193 Dl.O(d2) = 254313330,18817009,18817010,22102479,22102480,21372461,15391798,10637215,7022065,4416233,4416234,7022069,10637219,15391804,21372475,28606856,32253197,28550432,21325644,21325643,28550430,32253216,24653889,18195920,18195918,255315434,37997494,29434863,22102455,15992280,15992281,22102458,29434867,25087048,18542376,18542375,25087045,32784889,29434828,22102421,21967424,15873486,15873484,15992295,11101890,7362402,4650486,2801208,2801210,4650489,7362409,11101902,15992316,22102500,29434817,22102413,21001452,15085421,15085422,15992319,22102508,29434910,37997518,41701400,37997500,29434873,22102513,22102265,22102266,28651307,21408653,15420405,15420404,15874235,15874236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180469, s2 = 10397512, dlinesl.size( ) = 38 s1 = 11663385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11663385, s2 = 11497060, int(edited[s2]) = 0 s1 = 11663385, s2 = 11497060, d1 = 3, d2 = 6 Dl.O(d1) = 227355121,225381498,264597034 Dl.O(d2) = 264597032,223110161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11663385, s2 = 11497060, dlinesl.size( ) = 2 s1 = 11663385, s2 = 11497060, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11663385, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11457439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457439, s2 = 10398298, int(edited[s2]) = 0 s1 = 11457439, s2 = 10398298, d1 = 24, d2 = 4 Dl.O(d1) = 261897502 Dl.O(d2) = 61919679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457439, s2 = 10398298, dlinesl.size( ) = 22 s1 = 10398297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10398297, s2 = 11457440, int(edited[s2]) = 0 s1 = 10398297, s2 = 11457440, d1 = 0, d2 = 16 Dl.O(d1) = 32120040 Dl.O(d2) = 261897503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10398297, s2 = 11457440, dlinesl.size( ) = 24 s1 = 11362769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11362769, s2 = 11517126, int(edited[s2]) = 0 s1 = 11362769, s2 = 11517126, d1 = 58, d2 = 70 Dl.O(d1) = 260714103,101821440,87847527,269871655,257064235,39971511,49987326 Dl.O(d2) = 263934027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11362769, s2 = 11517126, dlinesl.size( ) = 54 s1 = 14019151, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13990269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11256781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11256781, s2 = 11654612, int(edited[s2]) = 0 s1 = 11256781, s2 = 11654612, d1 = 8, d2 = 16 Dl.O(d1) = 102420558 Dl.O(d2) = 270311282,113340255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11256781, s2 = 11654612, dlinesl.size( ) = 18 s1 = 11433947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433947, s2 = 11328190, int(edited[s2]) = 0 s1 = 11433947, s2 = 11328190, d1 = 15, d2 = 12 Dl.O(d1) = 184633198,175039043,164233238,262643601 Dl.O(d2) = 193012433,184633199,175039043,164233238,152360622,139640115,126269616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433947, s2 = 11328190, dlinesl.size( ) = 10 s1 = 11663651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139497, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139497, s2 = 14153570, int(edited[s2]) = 0 s1 = 14139497, s2 = 14153570, d1 = 24, d2 = 45 Dl.O(d1) = 265242568 Dl.O(d2) = 238632151,274799250,238358544,237653348,237653347,266748649,239592634,266968161,241552600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139497, s2 = 14153570, dlinesl.size( ) = 40 s1 = 11216543, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11549777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549777, s2 = 11571808, int(edited[s2]) = 0 s1 = 11549777, s2 = 11571808, d1 = 4, d2 = 27 Dl.O(d1) = 230408139 Dl.O(d2) = 235178329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549777, s2 = 11571808, dlinesl.size( ) = 28 s1 = 11663805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11498213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990432, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11663939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542527, s2 = 11442790, int(edited[s2]) = 0 s1 = 11542527, s2 = 11442790, d1 = 11, d2 = 7 Dl.O(d1) = 265063958,219956828 Dl.O(d2) = 264009178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542527, s2 = 11442790, dlinesl.size( ) = 12 s1 = 11184021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184021, s2 = 14149452, int(edited[s2]) = 0 s1 = 11184021, s2 = 14149452, d1 = 41, d2 = 46 Dl.O(d1) = 256442948,256442846,255499834,7719972,255117435,255943009,269358379 Dl.O(d2) = 228497218,230087868,231499322,232764229,266340559,233907899,233907898,233907902,266434957,234950576,233907909,232764232,232764231,233907907,233907901,232764226,231499319,266128215,233907898,233907902,234950575,233907909,232764232,232764231,233907907,233907901,232764226,232764225,231499328,231499329,232764236,233907901,232764226,232764225,232764234,231499327,230087870,228497219,226687027,226687026,226687025,274518171,266128219,231499320,266128217,233907902,234950575,233907909,232764232,232764231,233907907,233907901,232764226,231499319,230087866,228497216,228497217,230087868,231499322,232764229,266340557,235899987,235899986,235899989,266434936,232764236,233907901,232764226,231499319,230087866,228497216,228497217,230087868,231499322,232764229,233907905,266434959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184021, s2 = 14149452, dlinesl.size( ) = 26 s1 = 14149451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148709, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14152809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12034462, s2 = 11659411, int(edited[s2]) = 0 s1 = 12034462, s2 = 11659411, d1 = 7, d2 = 67 Dl.O(d1) = 221239644 Dl.O(d2) = 97686418,111604650,125403327,262118901,261284957,115835141,101788846,259499873,74212344,61433216,270799920,23777979,17447954,12299119,8306631,5359524,3294537,1937630,1937631,254400579,8306632,12299121,17447956,23777981,31263198,39938187,49955296,258253035,74212347,87816208,84849910,256810982,101788867,87816219,74212355 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619749, s2 = 11653640, int(edited[s2]) = 0 s1 = 11619749, s2 = 11653640, d1 = 11, d2 = 24 Dl.O(d1) = 267312961 Dl.O(d2) = 275026872,275024846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619749, s2 = 11653640, dlinesl.size( ) = 26 s1 = 11664137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11622491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11622491, s2 = 14166221, int(edited[s2]) = 0 s1 = 11622491, s2 = 14166221, d1 = 100, d2 = 3 Dl.O(d1) = 274982220,274990574 Dl.O(d2) = 37819645,29254293,21933239,15845739,10981214,7268532,6930391,4581726,4581729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11622491, s2 = 14166221, dlinesl.size( ) = 30 s1 = 10983825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983825, s2 = 14079698, int(edited[s2]) = 0 s1 = 10983825, s2 = 14079698, d1 = 5, d2 = 8 Dl.O(d1) = 2385010,3979633,6343078,9647258,14032220,19586033,255713643,19586028,14032218 Dl.O(d2) = 254955459,19586027,26310960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983825, s2 = 14079698, dlinesl.size( ) = 12 s1 = 14302461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105087, s2 = 10413963, int(edited[s2]) = 0 s1 = 14105087, s2 = 10413963, d1 = 33, d2 = 34 Dl.O(d1) = 136714946,149857766,162071943,173174395,261533136,199048567 Dl.O(d2) = 225843711,223668901,223668900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105087, s2 = 10413963, dlinesl.size( ) = 14 s1 = 12034604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12034604, s2 = 11485100, int(edited[s2]) = 0 s1 = 12034604, s2 = 11485100, d1 = 0, d2 = 0 Dl.O(d1) = 189160065,196899481,196899482,189160066,180222955,180222954,189160064,196899479,203522805,273594394,212966456,212966455,216832262 Dl.O(d2) = 189160065,196899481,196899482,189160066,180222955,180222954,189160064,196899479,203522805,273594394,212966456,212966455,216832262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12034604, s2 = 11485100, dlinesl.size( ) = 2 s1 = 12034604, s2 = 11485100, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12034604, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 12034648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12034648, s2 = 11298820, int(edited[s2]) = 0 s1 = 12034648, s2 = 11298820, d1 = 4, d2 = 14 Dl.O(d1) = 151479391 Dl.O(d2) = 111646490,97725754,83866819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12034648, s2 = 11298820, dlinesl.size( ) = 14 s1 = 11532079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11532079, s2 = 11653100, int(edited[s2]) = 0 s1 = 11532079, s2 = 11653100, d1 = 1, d2 = 27 Dl.O(d1) = 226499556 Dl.O(d2) = 266732891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11532079, s2 = 11653100, dlinesl.size( ) = 30 s1 = 13990844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10416265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11606563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606563, s2 = 11552844, int(edited[s2]) = 0 s1 = 11606563, s2 = 11552844, d1 = 13, d2 = 14 Dl.O(d1) = 240934424 Dl.O(d2) = 266206356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606563, s2 = 11552844, dlinesl.size( ) = 16 s1 = 14215069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13768337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617883, s2 = 11197356, int(edited[s2]) = 0 s1 = 11617883, s2 = 11197356, d1 = 84, d2 = 45 Dl.O(d1) = 267136672,267100984 Dl.O(d2) = 259661214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617883, s2 = 11197356, dlinesl.size( ) = 48 s1 = 11120383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145133, s2 = 11541236, int(edited[s2]) = 0 s1 = 14145133, s2 = 11541236, d1 = 93, d2 = 23 Dl.O(d1) = 230765499,230765498,232105250,233312534,233312545,232105256,230765505,229263121,227563628,227563627,229263118,230765500,230765501 Dl.O(d2) = 234406174,233312537,233312536,232105256,230765505,229263121,227563628,225620968,223387451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145133, s2 = 11541236, dlinesl.size( ) = 70 s1 = 14136333, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14134427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14134427, s2 = 11364184, int(edited[s2]) = 0 s1 = 14134427, s2 = 11364184, d1 = 164, d2 = 94 Dl.O(d1) = 214775565,218260469,265951067,232222465,266296217,266483791,237210402 Dl.O(d2) = 260004575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14134427, s2 = 11364184, dlinesl.size( ) = 32 s1 = 12034812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14216343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10423490, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10423490, s2 = 11118268, int(edited[s2]) = 0 s1 = 10423490, s2 = 11118268, d1 = 17, d2 = 7 Dl.O(d1) = 7677384,7677383,11540088 Dl.O(d2) = 30158592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10423490, s2 = 11118268, dlinesl.size( ) = 14 s1 = 12034866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116574, s2 = 11254600, int(edited[s2]) = 0 s1 = 14116574, s2 = 11254600, d1 = 3, d2 = 11 Dl.O(d1) = 155599813 Dl.O(d2) = 260113539,87802583,74199087,61420490,257060317,31249060,39924664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116574, s2 = 11254600, dlinesl.size( ) = 2 s1 = 14116574, s2 = 11254600, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14116574, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 11550979, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10425310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10425487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617037, s2 = 10426071, int(edited[s2]) = 0 s1 = 11617037, s2 = 10426071, d1 = 15, d2 = 18 Dl.O(d1) = 242897192,266897532,241829547 Dl.O(d2) = 266897534,266897530,242567200,242567199,242897190,266843234,266577054,240481508,239959563,274718530,241414283,240965887,240481512,240481511,266577058,266577060,240481514,239959568,239396651,266092532,238122322,238786468,239396647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617037, s2 = 10426071, dlinesl.size( ) = 2 s1 = 11617037, s2 = 10426071, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11617037, Dl.E( ) = 22, 1.31e-05 seconds used appending s1 = 11531107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531107, s2 = 11477132, int(edited[s2]) = 0 s1 = 11531107, s2 = 11477132, d1 = 120, d2 = 134 Dl.O(d1) = 264964368,264182812 Dl.O(d2) = 273449785,183904898,262610797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531107, s2 = 11477132, dlinesl.size( ) = 50 s1 = 10427822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10427822, s2 = 11593212, int(edited[s2]) = 0 s1 = 10427822, s2 = 11593212, d1 = 22, d2 = 23 Dl.O(d1) = 244190448 Dl.O(d2) = 266918600 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14151686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10428184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13991406, s2 = 11181002, int(edited[s2]) = 0 s1 = 13991406, s2 = 11181002, d1 = 1, d2 = 4 Dl.O(d1) = 44641347,35256933,256758827 Dl.O(d2) = 59534806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13991406, s2 = 11181002, dlinesl.size( ) = 12 s1 = 14142693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142693, s2 = 11589516, int(edited[s2]) = 0 s1 = 14142693, s2 = 11589516, d1 = 0, d2 = 23 Dl.O(d1) = 228474298 Dl.O(d2) = 237542943,237542944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142693, s2 = 11589516, dlinesl.size( ) = 32 s1 = 10430830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10430830, s2 = 11617062, int(edited[s2]) = 0 s1 = 10430830, s2 = 11617062, d1 = 29, d2 = 0 Dl.O(d1) = 274975485 Dl.O(d2) = 243207156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10430830, s2 = 11617062, dlinesl.size( ) = 30 s1 = 11012311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12035094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11461481, s2 = 11528526, int(edited[s2]) = 0 s1 = 11461481, s2 = 11528526, d1 = 11, d2 = 15 Dl.O(d1) = 204506670,209864330,214256237,217862429,265312157 Dl.O(d2) = 265655984,265312160,220876250,223445130,265655981,227604102,225668391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11461481, s2 = 11528526, dlinesl.size( ) = 8 s1 = 14252043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14252043, s2 = 14052956, int(edited[s2]) = 0 s1 = 14252043, s2 = 14052956, d1 = 17, d2 = 14 Dl.O(d1) = 207286656,211551355,206565880,206565879,211551352,215624547,218991130,215624544,215624545 Dl.O(d2) = 206565882,200531944,193385299,193385298,185057042,175519605,164769198,262677037,185057039,193385308,200531948,200531949,200531950,200531941,193385296,193385297,193385311,193385309,193385316,193385317,264193905,193385316,193385317,193385301,193385302,193385303,185057044,175519606,175519607,185057038,185057039,193385308,200531948,200531949,193385306,193385305,200531948,200531949,200531950,200531941,193385296,193385297,193385311,185057041,175519605,164769198,152940019,152940018,164769196,175519601,185057034,185057036,175519602,175519603,185057037,175519612,164769203,152940022,152940020,164769199,263117819,185057042,175519605,175519604,185057040,185057038,185057039,193385308,200531948,200531949,200531950,200531941,193385296,193385297,193385311,185057041,175519605,164769198,152940019,140250854,126904090,113051517,99064161,85140054,71570114,58843332,47457831,37549946,29004132,21718262,255050871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14252043, s2 = 14052956, dlinesl.size( ) = 2 s1 = 14252043, s2 = 14052956, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14252043, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 11241457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11665603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14137675, s2 = 10434836, int(edited[s2]) = 0 s1 = 14137675, s2 = 10434836, d1 = 12, d2 = 6 Dl.O(d1) = 265284147,265732472,226697056,224620775,224620774 Dl.O(d2) = 224620772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14137675, s2 = 10434836, dlinesl.size( ) = 14 s1 = 13991657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13991774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14259484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14259484, s2 = 6529717, int(edited[s2]) = 0 s1 = 14259484, s2 = 6529717, d1 = 22, d2 = 17 Dl.O(d1) = 103874326,89772572,75994564,63010776,51329753 Dl.O(d2) = 32329420,255622301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14259484, s2 = 6529717, dlinesl.size( ) = 12 s1 = 11589577, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11358953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358953, s2 = 11131208, int(edited[s2]) = 0 s1 = 11358953, s2 = 11131208, d1 = 28, d2 = 3 Dl.O(d1) = 141608834,128258345 Dl.O(d2) = 86401995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358953, s2 = 11131208, dlinesl.size( ) = 32 s1 = 10441492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10441492, s2 = 10441514, int(edited[s2]) = 0 s1 = 10441492, s2 = 10441514, d1 = 23, d2 = 27 Dl.O(d1) = 254949195 Dl.O(d2) = 255616964,430578,243044,134343,73026,73031,73403,39737,39736,73447,135098,244518,254114307,1332446,2296319,3832652,254660757,12618507,12618508,12680074,17900166,19082591,15200799,10484535,6912669,6912668,10484532,13588551,19036595,21156407,15200835,10484565,9304436,6094867,3813308,2284254,2284255,3813314,6094892,9304471,13588746,15201378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10441492, s2 = 10441514, dlinesl.size( ) = 28 s1 = 11281215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049031, s2 = 11299866, int(edited[s2]) = 0 s1 = 11049031, s2 = 11299866, d1 = 0, d2 = 12 Dl.O(d1) = 25996549,33813384,42854772,257833779,259079559 Dl.O(d2) = 65317228,78615542,67681038,67681039,269299118,101532433,115561621,129439192,142757978,142757977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049031, s2 = 11299866, dlinesl.size( ) = 32 s1 = 14138137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138137, s2 = 11511330, int(edited[s2]) = 0 s1 = 14138137, s2 = 11511330, d1 = 12, d2 = 4 Dl.O(d1) = 264692146,210757591,214963472 Dl.O(d2) = 264692152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138137, s2 = 11511330, dlinesl.size( ) = 16 s1 = 11047201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047201, s2 = 11143514, int(edited[s2]) = 0 s1 = 11047201, s2 = 11143514, d1 = 10, d2 = 6 Dl.O(d1) = 22890198,16661016,16661014,16294663,16271913,255473393,11314275,7512459,4748999,4748998,7512451,9367783,6136089,6136086,8283679,8283681,12266565,17405959,23729947,18198957,12908370,10339841,6806937,6806939,10339817,9113868,5963058 Dl.O(d2) = 12266434,8283604,8283605,8283614,5344085,3284436,1931600,1931599,3284433,255167573,23729658,31214059,258656222,21876270,29187970,37749072,29715236,29715237,33237453,33864339,33864340,255842482,37340852,28802890,21536377,255040720,28792419,256334367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047201, s2 = 11143514, dlinesl.size( ) = 14 s1 = 10444146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10444146, s2 = 10444143, int(edited[s2]) = 0 s1 = 10444146, s2 = 10444143, d1 = 1, d2 = 1 Dl.O(d1) = 18220642,21714126,28999103,28999107,21714129,15671221,10848958,10848957,15671219,16258776,16258775,255050580,29699911,22345837,16196244,11258532,10849014,10849015,254509328,16167726,268076112,7172250,10848895,7172281,4517878,4517879,7172283,8350234,254228820,7505317,7505318,255050578,255050582,15671215,11258530,11258529,10849018,7172312,4517891,2715402,1573423,1573422,254339899,2715392,4517867,7172258,254339900,21714029,16804240,16804242,16409915,16409914,22593043,21677158,21677159,28958668,21738371,15688719,15688718,21738365,29029079,37576302,38618277,254745908,29029011,255424414,47482129,58864387,256353122,256353124,257474434,60207112,257473676,30301597,22902823,16671895,11636942,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962249,29288564,37857200,39798360,39798361,39798379,37589432,31117811,31117810,39798406,49070401,49070400,48390347,38487181,29926487,29926485,38487178,38520266,29955400,29955399,38520260,34196360,26323772,19597228,19597227,18729105,18729104,24229379,24239188,17863894,17863896,24239194,19361669,19361668,26040076,19361773,13848984,9500445,6231379,3901376,3901375,6231373,9500429,13848955,19361728,23846927,28526732,28390815,21171665,21171666,23631325,25487082,23630556,17314759,12190230,12190232,17314763,22885658,16656932,16656930,11953940,10478509,6908754,6908750,10478500,15191657,21143806,28358733,36856525,38364527,46274421,57618833,48276235,268946942,29792144,255472121,16259758,22426317,29792142 Dl.O(d2) = 18220642,21714126,28999103,28999107,21714129,15671221,10848958,10848957,15671219,16258776,16258775,255050580,29699911,22345837,16196244,11258532,10849014,10849015,254509328,16167726,268076112,7172250,10848895,7172281,4517878,4517879,7172283,8350234,254228820,7505317,7505318,255050578,255050582,15671215,11258530,11258529,10849018,7172312,4517891,2715402,1573423,1573422,254339899,2715392,4517867,7172258,254339900,21714029,16804240,16804242,16409915,16409914,22593043,21677158,21677159,28958668,21738371,15688719,15688718,21738365,29029079,37576302,38618277,254745908,29029011,255424414,47482129,58864387,256353122,256353124,257474434,60207112,257473676,30301597,22902823,16671895,11636942,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962249,29288564,37857200,39798360,39798361,39798379,37589432,31117811,31117810,39798406,49070401,49070400,48390347,38487181,29926487,29926485,38487178,38520266,29955400,29955399,38520260,34196360,26323772,19597228,19597227,18729105,18729104,24229379,24239188,17863894,17863896,24239194,19361669,19361668,26040076,19361773,13848984,9500445,6231379,3901376,3901375,6231373,9500429,13848955,19361728,23846927,28526732,28390815,21171665,21171666,23631325,25487082,23630556,17314759,12190230,12190232,17314763,22885658,16656932,16656930,11953940,10478509,6908754,6908750,10478500,15191657,21143806,28358733,36856525,38364527,46274421,57618833,48276235,268946942,29792144,255472121,16259758,22426317,29792142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10444146, s2 = 10444143, dlinesl.size( ) = 2 s1 = 10444146, s2 = 10444143, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10444146, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 10444718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127678, s2 = 11250040, int(edited[s2]) = 0 s1 = 14127678, s2 = 11250040, d1 = 26, d2 = 1 Dl.O(d1) = 262752076 Dl.O(d2) = 109491381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127678, s2 = 11250040, dlinesl.size( ) = 32 s1 = 13992061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11189195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189195, s2 = 11378996, int(edited[s2]) = 0 s1 = 11189195, s2 = 11378996, d1 = 1, d2 = 5 Dl.O(d1) = 74297377 Dl.O(d2) = 57750683,260475601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189195, s2 = 11378996, dlinesl.size( ) = 2 s1 = 11189195, s2 = 11378996, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11189195, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14274309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150571, s2 = 9176096, int(edited[s2]) = 0 s1 = 14150571, s2 = 9176096, d1 = 154, d2 = 172 Dl.O(d1) = 274858757 Dl.O(d2) = 186918637,177636850,167137330,155504453,142955523,142955522,142955525,129629121,115733500,101688937,87715378,74109392,61326745,49843625,39820084,256000915,17332712,12207502,8239105,5311386,254585797,12207501,17332710,23649733,31137417,39820082,47625438,268625033,21833845,21833846,29141562,28265115,256065770,39820071,49843615,61326725,72980437,60244775,48851658,38932091,38932092,48851661,40354995,31660063,24149669,17782701,12585489,254551968,7147954,267767728,11983887,11976255,8040269,5173330,5173329,5118352,5118351,8029243,8059876,11999511,8061304,5153764,254570809,8065783,5159531,3142895,3101337,1828424,1828425,1840208,1840187,1840188,3104629,3104628,5112379,5227524,3189306,3122227,1824877,1824878,3107540,1815827,1815826,1818528,1038262,1038261,1818526,3111970,3148803,1842062,1051185,267769921,3148807,5153208,3137106,1834253,1834254,3096508,3096507,4080594,5139501,8012851,8012849,8023180,5112159,3104429,1813940,1035805,583610,326178,180079,180080,326184,583618,1035869,1043597,1043601,1828455,1841960,1051123,591189,591191,1051098,1841742,1841744,3148262,3148265,3148879,3148878,3151421,3151422,5169375,5169376,5155641,3139327,3113673,1819533,1819532,3113671,5124405,3189333,3189334,3097102,1809602,1809601,3097100,3152956,5170980,5160690,3143878,3143877,4679762,4679553,4679554,3132084,1830992,1044957,1044958,1830996,3132094,5147356,7521257,4755366,2866035,1663430,946401,533680,533677,946389,1663386,1042133,1042134,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1828045,1828046,1051444,1051446,1842506,3149420,3107944,1816070,1036974,584145,326421,180182,180183,326432,584170,1037026,1816161,3108079,5116978,7405570,4678560,2869082,1665142,1665143,2869087,3110896,1817879,1037945,1037943,1813443,1817838,3110830,3153347,1845138,1817848,1037927,1037928,1049447,1049448,1829540,1044195,587795,587791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150571, s2 = 9176096, dlinesl.size( ) = 60 s1 = 14133595, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10447265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10447265, s2 = 10447261, int(edited[s2]) = 0 s1 = 10447265, s2 = 10447261, d1 = 43, d2 = 35 Dl.O(d1) = 244504321,267388101,245220288,267455249,245372513,267484091,246005210,246005215,246108716,267520465,246108710,246005209,245894246,245776418,267455253,245372512,275011443,267439733,244884670,267348365,244293369,244293368,267348363,267388105,245220296,245372511,245220304,245057902,267368819 Dl.O(d2) = 267496877,245894235,245894236,246005197,267520455,246108711,246005209,245894246,267496879,246108708,246207410,246207415,267508965,245894248,245894247,246005213,267520463,267500502,267500504,246282018,246187448,246108697,246005192,246005193,246108699,246207401,246300438,246387954,267543562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10447265, s2 = 10447261, dlinesl.size( ) = 2 s1 = 10447265, s2 = 10447261, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10447265, Dl.E( ) = 44, 1.91e-05 seconds used appending s1 = 10447260, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11467431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467431, s2 = 11332066, int(edited[s2]) = 0 s1 = 11467431, s2 = 11332066, d1 = 29, d2 = 1 Dl.O(d1) = 263890776 Dl.O(d2) = 140849458,127491561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467431, s2 = 11332066, dlinesl.size( ) = 32 s1 = 15193413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11323707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11357891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357891, s2 = 734899, int(edited[s2]) = 0 s1 = 11357891, s2 = 734899, d1 = 41, d2 = 58 Dl.O(d1) = 153940399,159452466,147077403 Dl.O(d2) = 6995091,10602121,6995049,4396052,4396051,6995046,10602115,14422799,9921268,9921269,9919440,9919441,6993757,6993756,10600452,15346284,15347655,13354006,255254923,14419710,14422760,14422761,13350170,9124167,6518232,6518233,9918174,14419706,14421311,13354039,9126102,9126101,8928898,5827758,5675855,3530164,2100889,2100888,3530160,3924282,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389,7011392,7058814,10623461,7035371,7035373,7044721,4433545,4433543,7044715,10663370,7042293,7042292,268074372,15584458,10780813,7123355,4485051,4485050,7123353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357891, s2 = 734899, dlinesl.size( ) = 24 s1 = 14156588, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10450184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317673, s2 = 13334882, int(edited[s2]) = 0 s1 = 11317673, s2 = 13334882, d1 = 14, d2 = 20 Dl.O(d1) = 132851330,138765726,125436780 Dl.O(d2) = 257104564,27982489,20818411,20818412,27982494,36441518,27982545,27982544,34308473,26430570,26430569,27982483,20818454,20818453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317673, s2 = 13334882, dlinesl.size( ) = 20 s1 = 12035580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10451460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11616929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616929, s2 = 11620806, int(edited[s2]) = 0 s1 = 11616929, s2 = 11620806, d1 = 9, d2 = 12 Dl.O(d1) = 267165292,243745635 Dl.O(d2) = 244227482,243995165,243745636,243745635,243995163,244227480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616929, s2 = 11620806, dlinesl.size( ) = 14 s1 = 11626877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150441, s2 = 708942, int(edited[s2]) = 0 s1 = 14150441, s2 = 708942, d1 = 33, d2 = 0 Dl.O(d1) = 238437771,237737632,236966652 Dl.O(d2) = 18075618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150441, s2 = 708942, dlinesl.size( ) = 14 s1 = 10456415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12035718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12035716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075917, s2 = 11031534, int(edited[s2]) = 0 s1 = 11075917, s2 = 11031534, d1 = 15, d2 = 22 Dl.O(d1) = 254991298,255771402,67332207,80800943 Dl.O(d2) = 257351874,109079584,94808353,80738402,67267195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075917, s2 = 11031534, dlinesl.size( ) = 24 s1 = 11031533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11031533, s2 = 11075918, int(edited[s2]) = 0 s1 = 11031533, s2 = 11075918, d1 = 0, d2 = 28 Dl.O(d1) = 20517735,27534058 Dl.O(d2) = 35899792,255771403,254991299,6664548,6664551,10147309,14755232,20569756,20569755,27612531,27163063,27163062,35266138,44658157,55517857,67867067,69905994,69905995,57279826,46011847,36234293,36047725,36047723,45749873,56946156,45750406,36048134,27708889,20631963,14795808,10176243,10176239,254992633,20630952,20629164,14793928,14793925,20629176,20579480,20579481,21467414,21467416,28724050,36256902,37255147,47160325,58548898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11031533, s2 = 11075918, dlinesl.size( ) = 30 s1 = 11206401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206401, s2 = 10459924, int(edited[s2]) = 0 s1 = 11206401, s2 = 10459924, d1 = 5, d2 = 19 Dl.O(d1) = 261617901 Dl.O(d2) = 184119060,192569975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206401, s2 = 10459924, dlinesl.size( ) = 28 s1 = 10459923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10459923, s2 = 11206402, int(edited[s2]) = 0 s1 = 10459923, s2 = 11206402, d1 = 8, d2 = 12 Dl.O(d1) = 212866920 Dl.O(d2) = 261617900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10459923, s2 = 11206402, dlinesl.size( ) = 32 s1 = 10460929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992844, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13992844, s2 = 10462236, int(edited[s2]) = 0 s1 = 13992844, s2 = 10462236, d1 = 4, d2 = 9 Dl.O(d1) = 265569364,226448938,264998312,219089320,265381451,265396586,229894035,231324361,232606646 Dl.O(d2) = 266430363,274750973,237453710,266517338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13992844, s2 = 10462236, dlinesl.size( ) = 8 s1 = 10463176, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11600887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11600887, s2 = 11608746, int(edited[s2]) = 0 s1 = 11600887, s2 = 11608746, d1 = 8, d2 = 3 Dl.O(d1) = 266644398 Dl.O(d2) = 239866549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11600887, s2 = 11608746, dlinesl.size( ) = 14 s1 = 11466601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10466153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10466153, s2 = 10466132, int(edited[s2]) = 0 s1 = 10466153, s2 = 10466132, d1 = 7, d2 = 10 Dl.O(d1) = 216255118,213828573,209340328,209340327,264790812,203869036,197314488,189629432,180734479,263342401,197314485,203869034,209340385,213828584,265091511,265473603,265413714,220582275,220582324,217511068,213828602,213828601,217511088,217511079,213828597,209340359,209340360,213828599,217511082,265291595,265584796,265473607,223194290,220582336,220582335,220582350,220582349,223194301,225452306,223194245,223194246,225452307,274489443,225452312,223194255,265473597,227415756,227415758,265584792,220582294,217511097,213828612,209340371,203869022,197314479,189629427,189629428,197314481,273923703,217511099,217511102,213828620,264870749,220582301,220582300,220582351,220582304,217511053,264790814,264626611,209340354,209340355,213828590,217511065,220582319,223194269,223194288,225452334,225452311,223194253,265413716,217511040,264790800 Dl.O(d2) = 170605532,159270375,272583464,133646083,261967673,170605539,263342403,197314494,203869015,197314468,189629422,180734472,180734471,189629419,197314463,203869007,264626609,213828602,213828601,217511088,217511079,213828597,209340359,209340360,213828599,265091515,223194288,225452334,225452311,223194253,220582285,217511038,217511039,220582287,222311678,265473598,217511077,217511076,220582329,265473590,220582316,219538020,219538019,265225400,213828606,217511094,213828605,209340366,209340365,209340321,209340322,213828567,217511035,220582282,223194250,225452309,265584794,223194267,225452322,227415760,225452326,223194273,223194274,223194290,220582336,217511086,264790806,209340361,264790808,209340364,213828604,217511092,220582281,220582282,223194250,225452309,265584794,223194267,225452322,227415760,225452326,223194273,220582322,220582323,223194272,265638665,224692725,265584803,220582342,220582306,265018922,209340346,203869000,197314461,197314460,197314465,264355191,213828592,217511072,220582325,223194276,274416666,265473593,225452340,225452306,274436849,229133133,266172045,230649770,230649769,274562788,265740354,265413718,217511057,264790802,203869001,209340349,209340358,213828594,217511073,265291593,225452309,265584794,223194267,225452322,227415760,225452326,223194273,220582322,217511067,213828591,209340356,264626607,213788239,209296180,203819796,197259823,189569600,263336647,170536463,159195761,146820900,133562223,260260025,91225839,258388943,269299228,18722561,13328005,9106676,5958780,3726470,3726471,5958783,9106679,13328013,18722568,15273193,10539864,6950983,4367763,2617030,1511090,856881,856882,1511092,2617035,4367772,6950997,10539893,15273232,21240813,21237334,21237335,28461451,23435890,255151143,8111909,8111910,12064156,15268371,10535522,6948012,6948014,10535535,15268397,13535937,9265605,6068883,3797126,3797125,6068879,9265596,6953610,6953612,10456033,10456032,268201863,21242898,15275741,15275714,10542065,6952436,6952434,8108395,12059512,15303077,18509805,19833899,15265852,11746822,11746824,15259466,15272751,10539432,6950616,6950563,6950534,4367649,4367652,6950812,4375360,4375358,6946799,4372019,2619149,2619147,4372009,6958554,10548187,8472365,8472366,12506808,15295479,10560051,6964981,6964982,10560055,10544368,6953942,4369364,4369366,4369335,2617799,2617800,4369338,6953891,268067594,6059683,3791494,3791493,6059680,9252384,13520598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10466153, s2 = 10466132, dlinesl.size( ) = 2 s1 = 10466153, s2 = 10466132, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10466153, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11381371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381371, s2 = 11307250, int(edited[s2]) = 0 s1 = 11381371, s2 = 11307250, d1 = 31, d2 = 27 Dl.O(d1) = 154219339,141558002,261754165,165976243 Dl.O(d2) = 264995826,273062877,109851084,95648078,81615078,68125341,55727518,268837545,27267297,35393828,44819650,35393826,35393825,44819654,55727515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381371, s2 = 11307250, dlinesl.size( ) = 34 s1 = 13993074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11545317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545317, s2 = 8968470, int(edited[s2]) = 0 s1 = 11545317, s2 = 8968470, d1 = 24, d2 = 28 Dl.O(d1) = 266079321,233454173,234535708,274715677,266643807 Dl.O(d2) = 267212110,242840124,267181057,242840120,274911002,242144735,242504919,267240711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545317, s2 = 8968470, dlinesl.size( ) = 48 s1 = 11008397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10467826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10467826, s2 = 10467830, int(edited[s2]) = 0 s1 = 10467826, s2 = 10467830, d1 = 6, d2 = 9 Dl.O(d1) = 24938218,18425709,13087943,13087944,13892777,9532998,6253562 Dl.O(d2) = 3914818,3914816,6253617,3915074,3915072,6254102,9530334,9530333,13889215,19413622,26104268,33938557,36565109,42653255,33624728,33624726,33624926,25823523,19340156,13831215,9486637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10467826, s2 = 10467830, dlinesl.size( ) = 10 s1 = 10468070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15150567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15150567, s2 = 10468941, int(edited[s2]) = 0 s1 = 15150567, s2 = 10468941, d1 = 7, d2 = 4 Dl.O(d1) = 266824399,240268164,240768209,267024471 Dl.O(d2) = 266560539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15150567, s2 = 10468941, dlinesl.size( ) = 14 s1 = 11046091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046091, s2 = 10978562, int(edited[s2]) = 0 s1 = 11046091, s2 = 10978562, d1 = 10, d2 = 13 Dl.O(d1) = 254091026 Dl.O(d2) = 3686898,5880576,254075850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046091, s2 = 10978562, dlinesl.size( ) = 20 s1 = 14148341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14126362, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11581363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581363, s2 = 11541790, int(edited[s2]) = 0 s1 = 11581363, s2 = 11541790, d1 = 13, d2 = 6 Dl.O(d1) = 274671943 Dl.O(d2) = 266020892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581363, s2 = 11541790, dlinesl.size( ) = 16 s1 = 11667995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11395723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10473913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10473913, s2 = 11460470, int(edited[s2]) = 0 s1 = 10473913, s2 = 11460470, d1 = 6, d2 = 17 Dl.O(d1) = 232038305,274650581 Dl.O(d2) = 265479444,264363856,197522959,189867577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10473913, s2 = 11460470, dlinesl.size( ) = 30 s1 = 11377939, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11053285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053285, s2 = 14294857, int(edited[s2]) = 0 s1 = 11053285, s2 = 14294857, d1 = 7, d2 = 55 Dl.O(d1) = 28170341,268906991 Dl.O(d2) = 571980,1014716,1779629,1800926,1800927,3062016,3056357,3056358,3056537,1782727,1016618,573025,320910,320907,573015,1016595,1782681,1789866,3069900,5065772,3086967,1802532,1802529,3069174,1789354,1789353,1792103,1024259,1024263,1792140,1024464,577284,322987,322988,321357,321358,573954,574007,321378,321381,322774,178397,98190,98189,178391,322755,576822,1013881,1013879,1778355,1797073,1025443,577808,577805,1025429,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802750,3087255,5078493,5078494,5055963,5055962,5061934,5135880,5066675,5066673,5078084,7977638,7977637,7943212,5051598,3060536,3060535,5051597,7943210,11881640,7954844,7954845,11896001,16982241,16983684,11897810,7956420,7956416,11897805,11898264,16984046,16995723,23258886,23605204,17292141,17292142,16982437,16982438,11931922,11931924,16953370,23226664,23237280,16965316,16965315,22958764,17075395,17018276,11934282,7986809,5083104,3082967,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329613,590975,1050697,1841223,3147594,5065450,5065460,7962666,7953730,5058773,5058772,267987703,16139017,15653729,15653730,11883853,11883854,11895257,11870108,11870105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053285, s2 = 14294857, dlinesl.size( ) = 12 s1 = 12036162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14101192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11195269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195269, s2 = 11533516, int(edited[s2]) = 0 s1 = 11195269, s2 = 11533516, d1 = 10, d2 = 15 Dl.O(d1) = 259631861,119228626 Dl.O(d2) = 264758282,265783045,222357587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195269, s2 = 11533516, dlinesl.size( ) = 12 s1 = 11236221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236221, s2 = 11122780, int(edited[s2]) = 0 s1 = 11236221, s2 = 11122780, d1 = 18, d2 = 3 Dl.O(d1) = 260402359 Dl.O(d2) = 74231309,61452099,49974129,39957463,37273339,28741076,28741075,255253700,21609256,21609257,28885166,33078863,29167513,21858320,17657246,255577293,31499784,255864830,27124223,20220072,20220071,22631901,30001430,35217399,27124682,20220355,20220357,24002062,24002059,18767124,13363618,12486482,12486484,17657375,23562587,23562586,28064275,27123372,20219528,14509185,9983919,9983920,14509192,13363654,9132898,9132899,13363663,18767218,25348978,29675335,22324423,16179163,11245846,11245847,16179169,22324436,29675360,36945725,28445972,21219887,15250933,15250932,17656959,12486243,12486242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236221, s2 = 11122780, dlinesl.size( ) = 26 s1 = 12036184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12036184, s2 = 10477355, int(edited[s2]) = 0 s1 = 12036184, s2 = 10477355, d1 = 5, d2 = 17 Dl.O(d1) = 7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5093952,7986872,5083143,5083142,7981767,7981363,5079670,5079669,7981356,5081000,5081002,3443393,3443389,5558639 Dl.O(d2) = 17732558,12546037,12546038,12527720,267835078,3436688,2032994,1164362,1164360,254280465,4884889,7717871,9192622,8531520,5529613,5529612,8509260,254870545,5542016,5542017,5522853,3409500,3409499,5522852,5494468,3384600,3384599,5494467,5506607,8506193,9769697,6423508,6423505,5528743,3414651,2043989,2043988,1171769,1171771,2044001,3450475,267915707,8515121,8515065,8515066,8529748,5527828,5527827,254867869,8531516,12536130,11594209,11594208,8545541,267848443,2027491,1166764,654835,654834,1166756,2036705,3441423,5356290,5483479,3374500,3374503,2011471,2011473,3407100,3407103,5520366,8493513,5500045,5500046,3448136,3448135,5494693,3384798,1993556,1993554,3382936,1992236,1138456,1138453,1992228,1181065,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363037,654689,1166524,2036359,254867275,3397424,2002890,1144896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12036184, s2 = 10477355, dlinesl.size( ) = 14 s1 = 13993522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13993522, s2 = 14022189, int(edited[s2]) = 0 s1 = 13993522, s2 = 14022189, d1 = 7, d2 = 1 Dl.O(d1) = 11356252,268088389,22497327,22497324,17108742,15327821,254760028,15978095,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,11353601,7543690,4771399,4771398,7543685,11353582,16306245,16306244,22476748,22473920,16304066,11344134,11344135,16304069,21105011,15160100,11544383,11544381,16316989,16316922,16316923,22478083,267907292,254391634,22473316,16303601,16303600,22015815,15914222,15914223,22015817,29347665,29839691,28516344,21295216,15328470,10587077,10587075,15328466,21080545,28286594,29840643,22473223,22473225,29840647,29350919,22479768,22479767,29350808,22479796,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556076,11373730,16345936,22519379,23647879,29882005,29880797,22529489,16356825,11382950,11382953,16356834,16347196,16312675,11349550,7541420,4770219,4770218,7541414,11349541,16312663,15579058,15579056,15922368,15922367,15913945,11035427,11035428,15913948,21295030,16459198,11468163,7628232,4826318,2908465,2908466,4826323,7628240,11468133,11468134,16459157,17189618,23470372,22529611,16356977,11383074,7562657,7562656,11383070,16356974,22524193,21979834,15884724,15884723,21979830,23568008,22526762,22526764,22519370,22519371,22484442,22484443,29306681,29306680,28838330,28838331,22513373,16339674,11368843,7552939,7552940,11368846,9927043,9927047,11464822,7625835,7625837,9928843,6525333,4088496,2445931,2445930,4088489,6525316,9928774,9928775,14432214,14432219,17514551,17333388,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010705,15883864,16357460,18724583,18724585,25299183,29872315,22513797,16340109,11369158,11369159,16340111,22010877,17320761,17320759,12216306,12216307,12216305,11362767,11362769,16331886,17295301,17295300,23607857,27016255,27016254,254182406,12350010,8343988,5385558,3311702,3311705,5385569,8188547,12157969,16951195,11863813,11863810,16804066,15158284,10453825,10453827,15158294,21102742,17292374,12171196,8203242,8203241,8176163,8176165,12146362,10750973,7548997,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,22526629,23629584,254837214,38428251,38428250,38423893,29858460,29858459,29859238,38424397,254583744,31118888,31118889,29850013,22484760,22484759,29850011,29861738 Dl.O(d2) = 12142959,17177205,16329105,16329106,22503286,20126277,16231663,11284187,11284188,16231668,22390802,16314785,11350884,11350883,7551200,7551202,11365977,13329696,13329707,13329706,18724762,22389457,17289978,12168999,12168997,16338742,16338743,22512544,22517356,17320984,17320983,14989215,14989214,17336476,12210722,12210723,17336481,16325644,11357879,7546087,7546088,11357884,16325650,12168611,12168609,11360570,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464781,5464778,7550537,4775009,4775010,7550543,11364937,13852153,12165696,11363268,7549519,7549518,11363266,11364550,16334100,15818470,11366080,7551253,7551255,10960086,15815408,11366718,7551659,7551658,11366724,15586295,21099329,15584981,10781204,7123624,4485210,4485208,7123611,6890429,6890430,10452745,11358900,7546714,4772948,4772949,7546724,11358921,16327021,11737123,11737124,11332389,11332390,7550810,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123905,7123909,7123987,8187176,12156711,15586211,254263940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13993522, s2 = 14022189, dlinesl.size( ) = 2 s1 = 13993522, s2 = 14022189, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13993522, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14157237, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11615457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615457, s2 = 1307361, int(edited[s2]) = 0 s1 = 11615457, s2 = 1307361, d1 = 77, d2 = 114 Dl.O(d1) = 267219915 Dl.O(d2) = 60003634,48613122,257556715,41932380,32991678,25267734,25267735,32991680,32991681,32991682,25267737,18695960,13302954,9084617,9084616,13302953,13976690,9598724,9598725,13976691,15000536,14966083,10298455,6771179,5377568,3306742,1945424,1111409,1111406,1945449,2530890,2530887,2758981,2758979,4278166,2559372,2559369,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,6763397,4238670,2534915,1462447,1462446,1469991,1291643,737236,419029,236476,236475,419024,466647,826565,1460194,2533917,4238026,6762537,6818832,5504074,5504076,8503738,11528766,10357039,10291058,6823585,6823583,10327702,12338446,14950807,14950805,10312441,6783216,6783218,10270970,6749669,4241149,4233602,2531277,2531279,4233612,4257777,4257778,6791133,6791149,5942656,3715982,3715986,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249267,6779044,6832238,6832235,10370041,14968482,13322814,10308374,10308375,10351029,6815778,4293128,4293127,6842007,10381299,10302526,6774673,6774671,5589081,3467432,2056027,1179454,662228,662229,1179457,2056035,3467448,4285981,4285980,6831477,6817829,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,1399952,2418373,2418374,4035596,254683195,14233768,17419431,12277502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615457, s2 = 1307361, dlinesl.size( ) = 44 s1 = 11668413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11467291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467291, s2 = 11181238, int(edited[s2]) = 0 s1 = 11467291, s2 = 11181238, d1 = 47, d2 = 43 Dl.O(d1) = 200807579,263532567 Dl.O(d2) = 37949675,29385037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467291, s2 = 11181238, dlinesl.size( ) = 68 s1 = 13993679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11589693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589693, s2 = 11449500, int(edited[s2]) = 0 s1 = 11589693, s2 = 11449500, d1 = 27, d2 = 29 Dl.O(d1) = 274732271,266361261 Dl.O(d2) = 227036797,265441639,264827073,178186075,262365985,261318555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589693, s2 = 11449500, dlinesl.size( ) = 32 s1 = 11578377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578377, s2 = 11559876, int(edited[s2]) = 0 s1 = 11578377, s2 = 11559876, d1 = 13, d2 = 15 Dl.O(d1) = 266280917 Dl.O(d2) = 229157437,227443606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578377, s2 = 11559876, dlinesl.size( ) = 16 s1 = 14047129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10484850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11544887, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14069303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14069303, s2 = 10991306, int(edited[s2]) = 0 s1 = 14069303, s2 = 10991306, d1 = 19, d2 = 25 Dl.O(d1) = 255582768,5518155,8519933,12564914,17756947,24118016,24089842,17732237,12545533 Dl.O(d2) = 29526153,24082218,17724955,17724956,24082221,25462498,24064887,24064888,18759951,18759952,16057422,11149325,11149326,16057424,254613756,23331359,17064681,11973593,8018938,5107585,3101012,3101014,5107593,8018954,11973627,17064735,23331424,24060614,17705713,12524075,12524076,17705718,24060618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14069303, s2 = 10991306, dlinesl.size( ) = 30 s1 = 13993874, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14157089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157089, s2 = 7520679, int(edited[s2]) = 0 s1 = 14157089, s2 = 7520679, d1 = 36, d2 = 30 Dl.O(d1) = 267638858 Dl.O(d2) = 267446712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14157089, s2 = 7520679, dlinesl.size( ) = 2 s1 = 14157089, s2 = 7520679, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14157089, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 13993939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11668925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11668995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11668995, s2 = 10488023, int(edited[s2]) = 0 s1 = 11668995, s2 = 10488023, d1 = 18, d2 = 16 Dl.O(d1) = 216611407,219849080,222581274,224927577,264878650,264878652,226965759,228743050,230308066,231699968,230308073,228743054,226965763,224927579,224927580 Dl.O(d2) = 226360309,224244108,274235268,215586820,215586821,274404784,206515505,200475299,193322827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11668995, s2 = 10488023, dlinesl.size( ) = 12 s1 = 11208289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208289, s2 = 10488836, int(edited[s2]) = 0 s1 = 11208289, s2 = 10488836, d1 = 26, d2 = 17 Dl.O(d1) = 70977981,58262122,46895047,46895046 Dl.O(d2) = 98463484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208289, s2 = 10488836, dlinesl.size( ) = 22 s1 = 11571297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571297, s2 = 11568670, int(edited[s2]) = 0 s1 = 11571297, s2 = 11568670, d1 = 7, d2 = 6 Dl.O(d1) = 233831816 Dl.O(d2) = 233831815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571297, s2 = 11568670, dlinesl.size( ) = 16 s1 = 10986883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12036464, s2 = 14149172, int(edited[s2]) = 0 s1 = 12036464, s2 = 14149172, d1 = 2, d2 = 22 Dl.O(d1) = 232791894 Dl.O(d2) = 266418956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12036464, s2 = 14149172, dlinesl.size( ) = 26 s1 = 14152873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10491029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11618887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11490799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10492073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10492073, s2 = 10492097, int(edited[s2]) = 0 s1 = 10492073, s2 = 10492097, d1 = 12, d2 = 35 Dl.O(d1) = 185411297,193690315,200788402,200788405,206778499 Dl.O(d2) = 231340682,266225123,228303572,226469818,265556901,221940051,221940050,265556899,221940055,221940054,265556903,224364399,221940051,219116545,219116546,221940052,224364401,224364406,224364405,265714301,226469821,226469820,226469826,228303575,229912766,265991107,228303577,226469827,224364412,221940063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10492073, s2 = 10492097, dlinesl.size( ) = 20 s1 = 11129981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129981, s2 = 11254848, int(edited[s2]) = 0 s1 = 11129981, s2 = 11254848, d1 = 39, d2 = 31 Dl.O(d1) = 255732780,77307316,257891398,94458893,260383065 Dl.O(d2) = 47862954,37944190,29378986,29378987,29377155,29377156,258111813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129981, s2 = 11254848, dlinesl.size( ) = 42 s1 = 10493790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11091119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091119, s2 = 11210988, int(edited[s2]) = 0 s1 = 11091119, s2 = 11210988, d1 = 0, d2 = 23 Dl.O(d1) = 39420418 Dl.O(d2) = 87120621,73501839,73501838,87120619,87120613,258217915,60752885,73501834,87120616,101118708,87120620,73501839,60752888,49349995,39420420,39420421,49349997,60752887,73501837,270879621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091119, s2 = 11210988, dlinesl.size( ) = 24 s1 = 11093479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093479, s2 = 11445100, int(edited[s2]) = 0 s1 = 11093479, s2 = 11445100, d1 = 43, d2 = 26 Dl.O(d1) = 255117790,40566437,257692807,74911283,88549999,102556543,259424598,102556543,102556542,259424596 Dl.O(d2) = 217753081,214113388,209680426,209680425,265108137,223376722,225612090,225612091,223376723,264877772,214113387,209680426,204277539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093479, s2 = 11445100, dlinesl.size( ) = 20 s1 = 11087425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11087425, s2 = 14127084, int(edited[s2]) = 0 s1 = 11087425, s2 = 14127084, d1 = 22, d2 = 15 Dl.O(d1) = 30015317,30015316,38587798,48502740,58426921,71148557,84718456,258677181,58426909,58426902 Dl.O(d2) = 257442435,47052284,58426910,47052281,47052280,37161672,28645464,28645465,37161675,47052282,58426912,71148544,84718457,98648895,112645492,261103045,262173325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11087425, s2 = 14127084, dlinesl.size( ) = 12 s1 = 14136045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136045, s2 = 11102754, int(edited[s2]) = 0 s1 = 14136045, s2 = 11102754, d1 = 42, d2 = 38 Dl.O(d1) = 273792572,189953628,181089208 Dl.O(d2) = 91871503,271050923,64752968,52833674,256660545,255274411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136045, s2 = 11102754, dlinesl.size( ) = 44 s1 = 13994608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13994608, s2 = 11502888, int(edited[s2]) = 0 s1 = 13994608, s2 = 11502888, d1 = 19, d2 = 17 Dl.O(d1) = 233620832,232449933,232449932 Dl.O(d2) = 226226492,265360212,218775525,215385792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13994608, s2 = 11502888, dlinesl.size( ) = 18 s1 = 11500911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500911, s2 = 8974127, int(edited[s2]) = 0 s1 = 11500911, s2 = 8974127, d1 = 7, d2 = 52 Dl.O(d1) = 218410877 Dl.O(d2) = 243424702,243424703,267238939,243698207,243951374,243951376,243698208,243424695,243424694,243698207,243951374,243951376,243951377,243951373,243698205,243698206,243698210,267266057,243698211,243698213,243424700,243130955,243130952,267145971,242118807,241726926,241726927,242118809,242480768,242817718,243130961,267238939,243698207,243951374,243951381,243698216,267210249,242817715,243130959,267179011,242817711,267145971,242118807,241726926,241726927,242118809,242480768,242817718,243130960,267238937,243698204,243698210,243424698,243424697,243130954,242817712,242480765,242480766,242817715,243130959,267179011,242817711,267145971,242118807,241726926,266986523,239819107,274806951,274814760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500911, s2 = 8974127, dlinesl.size( ) = 30 s1 = 10501182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10501182, s2 = 11344788, int(edited[s2]) = 0 s1 = 10501182, s2 = 11344788, d1 = 0, d2 = 0 Dl.O(d1) = 60219406,60219407,60219404,48822207,38900016,255949483 Dl.O(d2) = 60219406,60219407,60219404,48822207,38900016,255949483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10501182, s2 = 11344788, dlinesl.size( ) = 2 s1 = 10501182, s2 = 11344788, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10501182, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14028835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14028835, s2 = 11571118, int(edited[s2]) = 0 s1 = 14028835, s2 = 11571118, d1 = 79, d2 = 83 Dl.O(d1) = 8791003,12922796,18219339,24686155,32297222,41107874,51287902,256710310 Dl.O(d2) = 237259626,236442010,235546058,234562600,233482380,233482379,274622723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14028835, s2 = 11571118, dlinesl.size( ) = 18 s1 = 11669845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11669885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11669885, s2 = 10502906, int(edited[s2]) = 0 s1 = 11669885, s2 = 10502906, d1 = 6, d2 = 6 Dl.O(d1) = 196236471,202978443,208628176,213271260,217070325,220226252,222898614,225200193,274484091,230488937,231860739,274646039,234089543,232958360,231708729,230318314,230318313,266147351,234089542,235119491,236055625,236906902,237681322,238384600,239025497,239615349,240161077,240666478,241134600,241568055,241969686,267133037,243005783,243306430,243559370,243276070,242972903,242648326,242300181,241924492,241517800,241078926,240606059,240096142 Dl.O(d2) = 196236471,202978443,208628176,213271260,217070325,220226252,222898614,225200193,274484091,230488937,231860739,274646039,234089543,232958360,231708729,230318314,230318313,266147351,234089542,235119491,236055625,236906902,237681322,238384600,239025497,239615349,240161077,240666478,241134600,241568055,241969686,267133037,243005783,243306430,243559370,243276070,242972903,242648326,242300181,241924492,241517800,241078926,240606059,240096142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11669885, s2 = 10502906, dlinesl.size( ) = 2 s1 = 11669885, s2 = 10502906, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11669885, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14111266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10504443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11267995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267995, s2 = 14063416, int(edited[s2]) = 0 s1 = 11267995, s2 = 14063416, d1 = 20, d2 = 25 Dl.O(d1) = 109479753,123671529,127534955,140890432 Dl.O(d2) = 260937278,123671528,123671529,270049884,85700806,72114980,59382854,59382853,61756668,50276467,50276468,61756669,61618320,50136725,50136726,255706002,76281651,257251920,41324681,32478314,32478315,41324682,51546000,61756671,61756670,61959795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267995, s2 = 14063416, dlinesl.size( ) = 28 s1 = 10505693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10505693, s2 = 11473246, int(edited[s2]) = 0 s1 = 10505693, s2 = 11473246, d1 = 8, d2 = 8 Dl.O(d1) = 265057105,212898600,212898601,216781327,212898606,208149915,202390953,195540332 Dl.O(d2) = 265057105,212898600,212898601,216781327,212898606,208149915,202390953,195540332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10505693, s2 = 11473246, dlinesl.size( ) = 2 s1 = 10505693, s2 = 11473246, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10505693, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11443057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443057, s2 = 11192426, int(edited[s2]) = 0 s1 = 11443057, s2 = 11192426, d1 = 13, d2 = 10 Dl.O(d1) = 262858472,261889402 Dl.O(d2) = 259568042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443057, s2 = 11192426, dlinesl.size( ) = 14 s1 = 10507670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10989121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10989121, s2 = 14844190, int(edited[s2]) = 0 s1 = 10989121, s2 = 14844190, d1 = 34, d2 = 31 Dl.O(d1) = 2731049,1582488,899657,899660,1582498,2731065,4543178,2731396,1582665,899751,899754,1582680,2731429,4543815,4291843,2565986,2565988,2566005,2566003,4291889,6840190,4445352,2670440,1546733,1546729,2670468,4445405,4535094,7198380,10886114,15722769,21457568,28712995,37243901,43957743,34682657,26688468,26688467,34682655,42469403,42438158,256078692,257142152,91883488 Dl.O(d2) = 262276260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10989121, s2 = 14844190, dlinesl.size( ) = 58 s1 = 14844189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844189, s2 = 10989122, int(edited[s2]) = 0 s1 = 14844189, s2 = 10989122, d1 = 23, d2 = 0 Dl.O(d1) = 262276261 Dl.O(d2) = 62995262,257142153,256078693,18233757,18233756,24704477,32318896,38874765,37252589,28721694,21465554,15464668,10693198,7064454,7064455,10693203,15464679,21465572,23731037,28710282,28710284,21500236,20987124,15074471,15074475,20987089,20987091,21279299,15316928,10579150,10579148,6978732,6978735,4832742,4832739,7638527,11484179,16482181,16215089,16215086,11271942,11271939,16215108,22369665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844189, s2 = 10989122, dlinesl.size( ) = 36 s1 = 11479345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479345, s2 = 11329598, int(edited[s2]) = 0 s1 = 11479345, s2 = 11329598, d1 = 56, d2 = 39 Dl.O(d1) = 264185060,273531448 Dl.O(d2) = 167388309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479345, s2 = 11329598, dlinesl.size( ) = 62 s1 = 14218464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11486985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486985, s2 = 11429526, int(edited[s2]) = 0 s1 = 11486985, s2 = 11429526, d1 = 14, d2 = 0 Dl.O(d1) = 209456689 Dl.O(d2) = 180954209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486985, s2 = 11429526, dlinesl.size( ) = 26 s1 = 10510219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590711, s2 = 11510490, int(edited[s2]) = 0 s1 = 11590711, s2 = 11510490, d1 = 38, d2 = 30 Dl.O(d1) = 237913392,237913393 Dl.O(d2) = 264408002,170993445,264368793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590711, s2 = 11510490, dlinesl.size( ) = 22 s1 = 12037036, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13995149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13995149, s2 = 12537345, int(edited[s2]) = 0 s1 = 13995149, s2 = 12537345, d1 = 11, d2 = 7 Dl.O(d1) = 101839022,115883742,129781955,143111747,155662990,167294599,177788843,187062424,195139260,202047013 Dl.O(d2) = 195139259,195139260,202047007,195139264,263972491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13995149, s2 = 12537345, dlinesl.size( ) = 16 s1 = 11670527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12037112, s2 = 10988018, int(edited[s2]) = 0 s1 = 12037112, s2 = 10988018, d1 = 9, d2 = 13 Dl.O(d1) = 28014191 Dl.O(d2) = 267871610,254316328,1459075,825995,825993,1459071,2531956,3711394,2222502,1289237,735987,418423,236199,236198,418420,735982,1289226,2220627,1288209,737792,419324,236615,130531,70753,70749,70759,70763,130565,236678,419448,267760033,2229836,3460743,4927673,7775598,6865428,6865427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12037112, s2 = 10988018, dlinesl.size( ) = 14 s1 = 14130487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130487, s2 = 11142774, int(edited[s2]) = 0 s1 = 14130487, s2 = 11142774, d1 = 34, d2 = 43 Dl.O(d1) = 200288541 Dl.O(d2) = 184756832,261656220,260526844,258679404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130487, s2 = 11142774, dlinesl.size( ) = 44 s1 = 12104340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11670764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11670764, s2 = 11389812, int(edited[s2]) = 0 s1 = 11670764, s2 = 11389812, d1 = 23, d2 = 24 Dl.O(d1) = 185778044,185778045,194016111 Dl.O(d2) = 176333509,185778039,194016105,194016109,194016108,185778048,176333515,272863735,141216508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11670764, s2 = 11389812, dlinesl.size( ) = 26 s1 = 12037234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10519118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10519118, s2 = 10163037, int(edited[s2]) = 0 s1 = 10519118, s2 = 10163037, d1 = 65, d2 = 72 Dl.O(d1) = 214745117,265129673,265504273,227129067,225111349,222789497,265451467 Dl.O(d2) = 24547150,24547151,24547155,18111906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10519118, s2 = 10163037, dlinesl.size( ) = 32 s1 = 11211037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211037, s2 = 10519661, int(edited[s2]) = 0 s1 = 11211037, s2 = 10519661, d1 = 5, d2 = 16 Dl.O(d1) = 260548545,140226731,152917107 Dl.O(d2) = 273982561,211537912,206549984,264479613,206549993,206549992,211537919,215613649,211537918,206549989,200514375,264479617,211537916,264738505,218982033,221824894,224263905,226378938,265852141,229838427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211037, s2 = 10519661, dlinesl.size( ) = 12 s1 = 10519662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10523011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14126252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126252, s2 = 11450347, int(edited[s2]) = 0 s1 = 14126252, s2 = 11450347, d1 = 155, d2 = 57 Dl.O(d1) = 261245686,155064261,142419400,142419399,260670814,260071702,140138745,126788075,112933502,98944163,98944164,112933504,126788058,112933485,98944151,85018587,257019890,112933487,115119033,101045567,101045569,260071698,142419395,155064258,260670814,260071702,140138745,126788075,115119044,101045580,87050477,73433033,73433031,270355530,115119039,126788055,140138715,259455234,129045784,260071700,259455234,126788068,126788067,140138728,126788071,126788072,140138738,140138727,259455232,140138739,140138741,140138735,140138734,152833353,164669803,272839245,258208096 Dl.O(d2) = 200279348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126252, s2 = 11450347, dlinesl.size( ) = 62 s1 = 11671099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150011, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11641071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11353787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353787, s2 = 11494098, int(edited[s2]) = 0 s1 = 11353787, s2 = 11494098, d1 = 0, d2 = 12 Dl.O(d1) = 152659274 Dl.O(d2) = 264182643,211408059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353787, s2 = 11494098, dlinesl.size( ) = 18 s1 = 11489299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489299, s2 = 11308746, int(edited[s2]) = 0 s1 = 11489299, s2 = 11308746, d1 = 30, d2 = 33 Dl.O(d1) = 264686270,210691271 Dl.O(d2) = 193744197,263180824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489299, s2 = 11308746, dlinesl.size( ) = 36 s1 = 13995872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11671373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10530479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11671503, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11378829, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11230719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230719, s2 = 14043390, int(edited[s2]) = 0 s1 = 11230719, s2 = 14043390, d1 = 8, d2 = 6 Dl.O(d1) = 271046635,263727137 Dl.O(d2) = 273549452,270508131,256403996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230719, s2 = 14043390, dlinesl.size( ) = 22 s1 = 14043389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043389, s2 = 11230720, int(edited[s2]) = 0 s1 = 14043389, s2 = 11230720, d1 = 4, d2 = 6 Dl.O(d1) = 256403997,270508130,273549453 Dl.O(d2) = 263727136,271046634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043389, s2 = 11230720, dlinesl.size( ) = 16 s1 = 14121521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14121521, s2 = 10535410, int(edited[s2]) = 0 s1 = 14121521, s2 = 10535410, d1 = 23, d2 = 20 Dl.O(d1) = 183060648,272252758 Dl.O(d2) = 114708957,128605747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14940722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11486115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486115, s2 = 10536743, int(edited[s2]) = 0 s1 = 11486115, s2 = 10536743, d1 = 1, d2 = 9 Dl.O(d1) = 213579298 Dl.O(d2) = 265921017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486115, s2 = 10536743, dlinesl.size( ) = 12 s1 = 14080893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11508409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508409, s2 = 11563816, int(edited[s2]) = 0 s1 = 11508409, s2 = 11563816, d1 = 15, d2 = 5 Dl.O(d1) = 265280163,225306463 Dl.O(d2) = 229027728,230557698,231919264,231919257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508409, s2 = 11563816, dlinesl.size( ) = 16 s1 = 14155201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155201, s2 = 12012636, int(edited[s2]) = 0 s1 = 14155201, s2 = 12012636, d1 = 51, d2 = 40 Dl.O(d1) = 244988801,267293586,244836004,245011786,245011782,267317000,245011788 Dl.O(d2) = 245011786,244836005,244649755,244449997,244235626,244003986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155201, s2 = 12012636, dlinesl.size( ) = 44 s1 = 11655047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655047, s2 = 11612054, int(edited[s2]) = 0 s1 = 11655047, s2 = 11612054, d1 = 8, d2 = 12 Dl.O(d1) = 267226500,242985630,242985631,243288187,243288190,242985632,242985633 Dl.O(d2) = 267164912,242315467,242315466,242315468,242662274,242985633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 12037742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10538575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10538578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11672013, s2 = 5294091, int(edited[s2]) = 0 s1 = 11672013, s2 = 5294091, d1 = 13, d2 = 19 Dl.O(d1) = 38555167,29985695,22618402,22618403,21651740,21651741,254928086,37469593,47376399,58763742,71493773,85066367,98992557,257801214,76272843,63253407,51536730,41315869,41315870,257740331 Dl.O(d2) = 141193684,135743622,121804065,121804064,113951326,99928254,85970728,72376044,59641858,48255261,38344971,29773795,22410113,22410114,29773797,38344974,48255265,269318648,48255266,59641866,72376060,85970747,99928278,113951356,127831190,141193740,153869190,165648806,176319869,185765415,194002524,264224193,207008050,211921263,215936454,219259490,219575438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11672013, s2 = 5294091, dlinesl.size( ) = 2 s1 = 11672013, s2 = 5294091, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11672013, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 10539706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128961, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10543354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11284623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10544674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11672461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569173, s2 = 10547298, int(edited[s2]) = 0 s1 = 11569173, s2 = 10547298, d1 = 2, d2 = 23 Dl.O(d1) = 234469165,235458393 Dl.O(d2) = 235769139,266479350,232591542,231308082,265944110,226427016,224317884,221887682,265120204,206692392,264662264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569173, s2 = 10547298, dlinesl.size( ) = 24 s1 = 11672527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11454381, s2 = 11254660, int(edited[s2]) = 0 s1 = 11454381, s2 = 11254660, d1 = 34, d2 = 18 Dl.O(d1) = 263187281,166102995,261765573,128358532,261765571 Dl.O(d2) = 271860443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11454381, s2 = 11254660, dlinesl.size( ) = 14 s1 = 10550504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10550504, s2 = 13318628, int(edited[s2]) = 0 s1 = 10550504, s2 = 13318628, d1 = 44, d2 = 91 Dl.O(d1) = 144660505 Dl.O(d2) = 258715978,155404700,142823644,129506989,115622294,101582208,87615157,74011041,257628233,39732684,31054769,23571532,22551467,16374875,16374876,22551468,29907744,28385269,28385268,268630076,12483151,12483152,17654162,23225515,254608666,254608664,23447584,23447583,30878126,39243018,37306313,28772516,28772518,254761864,11864519,11864520,11737651,11737652,12483131,12369097,12369096,11737626,11737627,16787014,23029535,16952201,254761780,30436174,23029524,23029523,30436172,23225785,23225786,30538776,23119856,23119854,23225584,16952297,11864742,7929486,7929484,11864740,16952295,23225581,28772477,21511042,21511043,21511046,21511047,20829228,14930646,10717370,10717371,15497143,21505050,28764921,30647274,23225337,17176937,17176936,21505044,28764917,29977985,22611256,22611255,29977984,29977956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10550504, s2 = 13318628, dlinesl.size( ) = 32 s1 = 10553288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10553288, s2 = 10553284, int(edited[s2]) = 0 s1 = 10553288, s2 = 10553284, d1 = 21, d2 = 22 Dl.O(d1) = 259529214,272643291,273594401,264296466 Dl.O(d2) = 262737258,257546770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10553288, s2 = 10553284, dlinesl.size( ) = 24 s1 = 11672851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14078133, s2 = 11096072, int(edited[s2]) = 0 s1 = 14078133, s2 = 11096072, d1 = 2, d2 = 0 Dl.O(d1) = 261403515,158415566 Dl.O(d2) = 133827299,259573462,33208694,25460926,25460925,255609524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14078133, s2 = 11096072, dlinesl.size( ) = 2 s1 = 14078133, s2 = 11096072, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14078133, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 12038190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14137233, s2 = 8811921, int(edited[s2]) = 0 s1 = 14137233, s2 = 8811921, d1 = 85, d2 = 33 Dl.O(d1) = 219658561,222417663,224785885,265746241,230209385,231608838 Dl.O(d2) = 219979250,265258637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14137233, s2 = 8811921, dlinesl.size( ) = 34 s1 = 11673071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410435, s2 = 10557551, int(edited[s2]) = 0 s1 = 11410435, s2 = 10557551, d1 = 9, d2 = 26 Dl.O(d1) = 170925159 Dl.O(d2) = 9291790,13571226,19015111,255093721,7508350,7508349,11309190,16266054,13624510,13624509,13547983,9274826,9274827,6096083,254657459,13591383,13654276,11309555,9318677,7508586,7508585,11309567,16266542,22434344,25758437,25642554,25642555,19584030,19584031,14030504,9645894,6342047,6342046,9645892,9335533,9335534,13633346,13624294,9329266,6111094,6111095,9329269,13624296,19082879,255684557,255273769,9304435,6094867,3813308,2284254,2284256,3813320,254657337,255658471,254918143,9141074,13374383,13564629,13669852,16380239,11400086,11400088,16380243,22558606,27213537,33471704,256148601,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,10485372,6913195,4341938,4341936,6913186,10485346,15201915,21157620,19114614,19114613,20063662,14379394,14379393,19125245,13655343,9350809,9350812,13655352,19125260,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,24250959,17873577,12657179,8593327,5583509,5583510,8593328,12657181,12655860,12655861,11119374,11119375,7375313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410435, s2 = 10557551, dlinesl.size( ) = 28 s1 = 14107255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997282, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13997282, s2 = 11507318, int(edited[s2]) = 0 s1 = 13997282, s2 = 11507318, d1 = 21, d2 = 15 Dl.O(d1) = 265287049,217454394,264621137 Dl.O(d2) = 262918431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13997282, s2 = 11507318, dlinesl.size( ) = 24 s1 = 10560765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10561835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10561835, s2 = 14094288, int(edited[s2]) = 0 s1 = 10561835, s2 = 14094288, d1 = 4, d2 = 7 Dl.O(d1) = 141246362,261735041,262096484 Dl.O(d2) = 260610541,127886095,127886096,141246361,261005696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10561835, s2 = 14094288, dlinesl.size( ) = 2 s1 = 10561835, s2 = 14094288, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10561835, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 14156767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11470545, s2 = 10563924, int(edited[s2]) = 0 s1 = 11470545, s2 = 10563924, d1 = 17, d2 = 0 Dl.O(d1) = 207656272,212471822,216408693,219673011,220751239,219673009 Dl.O(d2) = 209621991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11470545, s2 = 10563924, dlinesl.size( ) = 12 s1 = 13997856, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12038534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038560, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11499849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499849, s2 = 11369188, int(edited[s2]) = 0 s1 = 11499849, s2 = 11369188, d1 = 19, d2 = 12 Dl.O(d1) = 265481716 Dl.O(d2) = 259732955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499849, s2 = 11369188, dlinesl.size( ) = 26 s1 = 10573486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10573486, s2 = 14087824, int(edited[s2]) = 0 s1 = 10573486, s2 = 14087824, d1 = 3, d2 = 29 Dl.O(d1) = 59989879 Dl.O(d2) = 114317333,259830286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10573486, s2 = 14087824, dlinesl.size( ) = 24 s1 = 14087823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087823, s2 = 10573484, int(edited[s2]) = 0 s1 = 14087823, s2 = 10573484, d1 = 17, d2 = 0 Dl.O(d1) = 259830287 Dl.O(d2) = 36495754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087823, s2 = 10573484, dlinesl.size( ) = 20 s1 = 10574104, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574104, s2 = 13998031, int(edited[s2]) = 0 s1 = 10574104, s2 = 13998031, d1 = 13, d2 = 15 Dl.O(d1) = 89301601,92474119,78437443,78437435 Dl.O(d2) = 92474121,270023939,257233777,256159071,25884404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574104, s2 = 13998031, dlinesl.size( ) = 8 s1 = 10574569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10574569, s2 = 11651936, int(edited[s2]) = 0 s1 = 10574569, s2 = 11651936, d1 = 0, d2 = 6 Dl.O(d1) = 11916493 Dl.O(d2) = 166589227,154889544,142256077,128904919,115002896,115002897,128904921,142256082,262302263,264260281,265021751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10574569, s2 = 11651936, dlinesl.size( ) = 16 s1 = 14135990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11362949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11362949, s2 = 10982302, int(edited[s2]) = 0 s1 = 11362949, s2 = 10982302, d1 = 32, d2 = 35 Dl.O(d1) = 167352606,155718236,143164316,256502702,101886633,101886632,115932889 Dl.O(d2) = 101886635,255160708,254583234,254264644,254264646,254104892,8343905,8343855,8343853,254181210,12178584,11355369,11355370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11362949, s2 = 10982302, dlinesl.size( ) = 36 s1 = 11599961, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10578905, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10581468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10582930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10582930, s2 = 10582916, int(edited[s2]) = 0 s1 = 10582930, s2 = 10582916, d1 = 11, d2 = 6 Dl.O(d1) = 257576524,58751272 Dl.O(d2) = 47365247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10582930, s2 = 10582916, dlinesl.size( ) = 6 s1 = 13998481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13998481, s2 = 14086362, int(edited[s2]) = 0 s1 = 13998481, s2 = 14086362, d1 = 1, d2 = 3 Dl.O(d1) = 127283307,258772774,71896407,257539828,99422671,113338298,113338299,127196565,127196564,113424511,99422651,99422652,100393853,260037639,128293079,271809970,127196565,127196564,113338295,99336082,85481296,71896395,59158373,47759578,37837012,29270828,29270829,37837016,47759572,59158365,71896386,85481285,99422655,99422659,99422643,99422642,86438352,72843928,60107591,48712462,38790541,38790542,48712464,259420791,72843931,257605298,38790545,38790546,48712470,60107600,72843941,86438363,260016138,113424497,99422629,258772764,115013924,100959557,100959556,115013926,127283309,113424514,99422666,85481300,71896401,59158376,47759581,47759576,47759575,59158369,71896392,258148886,88661958,85481302,71896402,59158377,47759581,37837015,37837016,47759572,59158365,71896386,85481285,99422655,99422659,99422643,99422642,86438352,72843928,60107591,48712462,48712459,60107587,258796691,100393847,113424518,113338322,99336108,85392599,85392600,99336109,113338323,127196576,127196575,127196539,260016150,99336053,99422654,99422653,100393846,100393847,270831859,59158380,47759583,37837017,37837018,47759585,59158384,71896410,85481311,258772780,99336119,258772766,85481265,71896377,59158359,255919522,37837006,47759570,59158362,71896381,85481277,99422642,86438346,259961751,258772778,72843917,60107586,60107587,72843918,71804391,59063657,47663514,37741565,255867581,21869968,29180758 Dl.O(d2) = 255919522,37837006,47759570,59158362,71896381,85481277,99422642,86438346,259961751,258772778,72843917,60107586,60107587,72843918,71804391,71804390,59063658,47663515,37741565,255867581,21869968,29180758,37741567,47663519,47663515,37741565,37741566,47663517,258093479,85392586,259342955,113338310,113424510,99422648,85481281,71896384,59158363,256959516,59158358,47759568,37837005,29270823,21948196,21948197,29270825,37837006,47759570,59158362,71896381,85481277,99422642,86438346,259961751,85392598,71804391,59063657,258093477,85392600,258717159,59063658,47663515,37741565,255867581,21869968,29180758,37741567,47663519,47663515,37741565,37741566,47663517,258093479,85392586,259342955,113338310,113424510,99422648,85481281,71896384,59158363,255919524,37837008,47759571,59063664,71804405,71896389,59158367,47759574,37837010,29270827,29270826,37837008,255190294,254863880,17310757,23626551,24039805,24039807,29221679,24040216,17688373,12510099,12510098,17688367,24040208,24040057,17688241,12509976,8474865,5478159,5478160,8474870,11022150,7297342,7297340,11022142,12186613,11113504,11113502,15910736,21000514,15084688,15084356,15084354,15084694,15084376,15084377,10966599,10966598,15825203,21906164,256031470,28183104,21000254,21000255,28183107,24043677,24043676,28183231,21000434,21000433,28183088,21000238,21000239,21000249,28183086,31113083,28183162,21000297,21000299,28183167,31547128,31547228,40233338,50252944,46527148,37782993,37782978,37782979,46527142,46527141,49814236,47931880,38047426,38047427,47960622,46527175,36659678,29221321,29221322,35084783,255190562,32858912,32858913,41779424,52092652,256500588,47896506,37979143,29416212,22085920,22085919,29416211,37979141,39928408,33340950,33340948,25581563,25581561,33340945,39816596,31134006,31134005,39816593,47698026,37777620,37777619,47698023,46437753,46437752,57792927,57961977,46585409,36698758,28207926,21015128,15093586,10409951,10409953,15093590,21015133,28207934,36698770,46585422,57961905,57961904,48149722,38240554,29675740,29675739,38240552,38248352,30206868,30206867,38791525,39742584,43368532,34269327,26393324,255465519,16185239,22331745,21057763,21057762,24042850,29675221,38240063,255903218,22328476,16182359,16182357,16179065,267975337,4717265,4717264,7464783,11245774,16179064,16595347,11574104,11574103,11574507,11574510,11574502,11574501,16179661,11574689,7704358,7704359,7704195,4875893,2938017,2938016,4875886,7704184,255115043,22814222,30205848,38790542,48712463,258148890,71896403,71896406,85481305,85481276,85481277,99422642,86438352,72843928,60107591,48712462,48712461,60107589,72843921,71896409,71896408,85481308,258772776,258717161,71804396,85392596,71804385,59063650,47663510,47663511,42419567,33428811,25660484,19041416,13592432,9307072,6096629,3814427,2284945,1325419,756446,756445,1325418,1321453,1321452,2278609,3803976,254302727,2284943,3814426,6096628,9307070,13592424,19041411,25660482,33375195,33375194,25794568,25794567,28374172,23198969,16929984,255522813,23198964,23198966,29293128,32840091,25134841,25134842,32840092,41760020,52072793,63890197,270503935,90878268,105057162,119249993,271303411,84713322,258052435,256862897,28640318,21399799,15413512,255401425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13998481, s2 = 14086362, dlinesl.size( ) = 2 s1 = 13998481, s2 = 14086362, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13998481, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14138757, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14218600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14218600, s2 = 11190810, int(edited[s2]) = 0 s1 = 14218600, s2 = 11190810, d1 = 5, d2 = 7 Dl.O(d1) = 153417173 Dl.O(d2) = 258906004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14218600, s2 = 11190810, dlinesl.size( ) = 14 s1 = 12038920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075507, s2 = 11370994, int(edited[s2]) = 0 s1 = 11075507, s2 = 11370994, d1 = 78, d2 = 21 Dl.O(d1) = 34617378,29753489,22393006,16233320,11285531,11285529,16233313,22392982,29753458,38322839,32235963,32235964,255744491,14415179,14415180,18580334,13204053,13204054,18580335,255067252,15894138,11018328,7294375,4600191,256373787,47811256 Dl.O(d2) = 151707316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075507, s2 = 11370994, dlinesl.size( ) = 64 s1 = 13998677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11536007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536007, s2 = 8367964, int(edited[s2]) = 0 s1 = 11536007, s2 = 8367964, d1 = 72, d2 = 36 Dl.O(d1) = 274880488,267025179 Dl.O(d2) = 257675060,257778162,256634208,5526185,3412514,3412513,254869105,17767993,268447185,40328359,31638708,31638709,40328360,46915319,257672947,40307458,31619186,24113999,17753205,17753204,17767910,12573757,12573756,17767908,24131352,28578272,257597572,72181721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536007, s2 = 8367964, dlinesl.size( ) = 54 s1 = 15009179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11221189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221189, s2 = 10591807, int(edited[s2]) = 0 s1 = 11221189, s2 = 10591807, d1 = 7, d2 = 7 Dl.O(d1) = 74053286,257551588,101623414,115663855,260026712,155449751,261204164,155449754,142867755,142867754,155449752,261751174,186881417,186881422,177594418,167089302,167089301,177594415,177594414,186881420,186881425,177594419,177594420,186881428,194973168,263566978,201898090,194973165,186881421,262740832,177594410,167089297,261751174,186881417,186881422,177594418,167089302,167089301,177594415,177594414,186881420,186881425,177594419,177594420,186881428,194973168,263566978,201898090,194973165,186881421,262740832,177594410,177594411,262740834,186881431,177594421,177594422,186881432,194973171,201898093,207724826 Dl.O(d2) = 74053286,257551588,101623414,115663855,260026712,155449751,261204164,155449754,142867755,142867754,155449752,261751174,186881417,186881422,177594418,167089302,167089301,177594415,177594414,186881420,186881425,177594419,177594420,186881428,194973168,263566978,201898090,194973165,186881421,262740832,177594410,167089297,261751174,186881417,186881422,177594418,167089302,167089301,177594415,177594414,186881420,186881425,177594419,177594420,186881428,194973168,263566978,201898090,194973165,186881421,262740832,177594410,177594411,262740834,186881431,177594421,177594422,186881432,194973171,201898093,207724826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221189, s2 = 10591807, dlinesl.size( ) = 2 s1 = 11221189, s2 = 10591807, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11221189, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10592347, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379373, s2 = 11327854, int(edited[s2]) = 0 s1 = 11379373, s2 = 11327854, d1 = 29, d2 = 22 Dl.O(d1) = 159230718,159230719,261427461 Dl.O(d2) = 259646715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379373, s2 = 11327854, dlinesl.size( ) = 30 s1 = 11327853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11327853, s2 = 11379374, int(edited[s2]) = 0 s1 = 11327853, s2 = 11379374, d1 = 20, d2 = 26 Dl.O(d1) = 259646714 Dl.O(d2) = 261427460,192977248,191896662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11327853, s2 = 11379374, dlinesl.size( ) = 30 s1 = 15007309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10594125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10594125, s2 = 10594163, int(edited[s2]) = 0 s1 = 10594125, s2 = 10594163, d1 = 49, d2 = 68 Dl.O(d1) = 259940454,60511297 Dl.O(d2) = 27185351,24995808,20416300,14652296,14652300,20416307,18300912,18300909,254802306,41231588,51429415,63126738,76132212,89937678,104066598,118225436,260046506,145282905,157694658,169137506,179406463,188438499,196304246,193753541,185487254,176014500,165320736,153527814,140849850,127491970,113618188,99603102,85653206,72065994,59331696,47939910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10594125, s2 = 10594163, dlinesl.size( ) = 16 s1 = 11318057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318057, s2 = 11328564, int(edited[s2]) = 0 s1 = 11318057, s2 = 11328564, d1 = 6, d2 = 0 Dl.O(d1) = 119243597 Dl.O(d2) = 76992534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318057, s2 = 11328564, dlinesl.size( ) = 12 s1 = 15156967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591815, s2 = 11607742, int(edited[s2]) = 0 s1 = 11591815, s2 = 11607742, d1 = 1, d2 = 25 Dl.O(d1) = 238781696 Dl.O(d2) = 274846263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591815, s2 = 11607742, dlinesl.size( ) = 26 s1 = 14126207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126207, s2 = 11546690, int(edited[s2]) = 0 s1 = 14126207, s2 = 11546690, d1 = 78, d2 = 123 Dl.O(d1) = 186470862 Dl.O(d2) = 231017716,229552596,274452673 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11675491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10601160, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14130924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11401235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401235, s2 = 10994324, int(edited[s2]) = 0 s1 = 11401235, s2 = 10994324, d1 = 9, d2 = 27 Dl.O(d1) = 165710668 Dl.O(d2) = 260689926,141264341,127903870,268247360,254831284,11338927,11338928,16211902,11269547,7480984,7480983,11269546,16211894,267784638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401235, s2 = 10994324, dlinesl.size( ) = 34 s1 = 14903871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14903871, s2 = 11014308, int(edited[s2]) = 0 s1 = 14903871, s2 = 11014308, d1 = 22, d2 = 20 Dl.O(d1) = 41192339,32373601,24754870,24754871,18279865,12974195,12974194,18279862,13413361,9171159,6002655,3753929,2248037,2248038,3753935,6002670,9171198,13413444,18826484,25418182,30501494,25410147,25410146,25410327,25410328,25934303,19271875,13775424,9444141,6191167,6191169,9444149,13775446,19271912,25410008,18819069,13407060,9166275,9166274,5999494,5999490,9166387,13407268,18819407,16132808,11772370,11772371,16834279,23087811,23087762,16834238,11772349,7859770,7859768,11772343,16834224,23087739,18826328,13413345,9171150,9171147,9171205,9171189,9171188,13413425,18826455,17591854,17591852,23934873,31425661,33029173,33159151,38193992,29627024,22275351,16132801,16132800,18387934,18387935,19271891,25934326,33150824,25410415,23087715,23087714,25410020,18819335,13407226,13407227,18819344,23934762,27262764,20328411,18727948,18727943,20327823,25410174,18819172,13407125,9166309,9166310,13407133,13775592,19272125,25934607,33158973,25417965,18826497,13413450,12417335,8392800,5416140,3329523,3329524,5416147,8392818,12417372,17591869,23934900,29701583,24887298,24887296,24887332,18387957,13061102,8900270,8900272,13061107,18387968,24887358 Dl.O(d2) = 16096861,22231592,29579371,35326279,28955496,28955495,25934670,25934672,25934689,25934688,22261652,16121616,11198976,7430895,7430896,11198981,16121627,22261662,29612210,29628126,23142829,23142830,21170256,21170258,25936039,24754785,24754784,32373496,41192203,46764080,41466270,32589403,24928019,24928020,254943124,16934377,16934376,23204701,30627352,268283994,46763939,36885587,28388845,28388843,255729346,39440364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14903871, s2 = 11014308, dlinesl.size( ) = 2 s1 = 14903871, s2 = 11014308, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14903871, Dl.E( ) = 24, 1.1e-05 seconds used appending s1 = 11676023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11676023, s2 = 11074202, int(edited[s2]) = 0 s1 = 11676023, s2 = 11074202, d1 = 93, d2 = 24 Dl.O(d1) = 236847120,236847121,237626480,266638992,266680287,238979257,239572248,240120486,240628621,240907013,240418231,239891478,239321563,266760210 Dl.O(d2) = 122199785,107794494,107794493,122199784,121075638,121075637,134878042,134878040,121075636,271600264,136162347,136162346,259090636,122199784,121075638,121075637,134878041,147998485,149412021,136162348,122199786,107794494,257250974,48481749,48481748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11676023, s2 = 11074202, dlinesl.size( ) = 12 s1 = 14083937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14083937, s2 = 11308216, int(edited[s2]) = 0 s1 = 14083937, s2 = 11308216, d1 = 36, d2 = 55 Dl.O(d1) = 257658332,256528496,74383143,85129145,257658336,99662003,86264157,72663777,258783519,71558667,71558668,71558696,257594115,49135079,60535168,73279514,85129129,71558678,58831283,47445274,47445275,58831287,71558686,61606496,61606495,74383153,61606494,61606493,72658400,86258653,85129124,85129125,72658403,72658404,258120291,59399406,258159468,71967685,59918585,48525311,48525310,259408271,74958723,74958724,74958725,74127933,61345208,49862024,39838371,31155517,31155521,39838379,49862035,61345219,74127950,87734263,101708728 Dl.O(d2) = 256053677,24349479,31873938,40578231,50622501,62124564,62124618,74931851,86264346,89714460,75935299,62954409,51279941,41101454,32292007,32292005,41101449,51279934,51279651,41101200,32291847,32291848,32291863,32291862,40578309,31873975,31873974,40578307,50622631,62124757,258926379,88574011,258303253,50622877,40578449,31874043,24349523,17957207,17957206,24349518,31874040,257110527,41101458,41101459,51279953,62954424,62125465,50623171,40578645,31874176,31874177,257110555,62125467,74932796,74932678,62125353,50623085,40578584,256053683,17957238,17957239,24349571,257110539,62125362,258926457,260165997,114258612,100225972,259506892,74958198,259552231,258883100,74958723,74958724,87734236,87734235,259506918,72658716,59918853,50641809,268995956,74127933,74127932,258867915,259591175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14083937, s2 = 11308216, dlinesl.size( ) = 2 s1 = 14083937, s2 = 11308216, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14083937, Dl.E( ) = 58, 1.91e-05 seconds used appending s1 = 10610033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10610033, s2 = 11554328, int(edited[s2]) = 0 s1 = 10610033, s2 = 11554328, d1 = 41, d2 = 52 Dl.O(d1) = 266958425,267125031,242260929,242612835 Dl.O(d2) = 266908806,239473130,238871021,238215851,237496800,236704388,235834691,266332986,231405224,229982776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10610033, s2 = 11554328, dlinesl.size( ) = 40 s1 = 10610072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11397529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11397529, s2 = 11480480, int(edited[s2]) = 0 s1 = 11397529, s2 = 11480480, d1 = 15, d2 = 13 Dl.O(d1) = 175219491,263497359 Dl.O(d2) = 264711735 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11397529, s2 = 11480480, dlinesl.size( ) = 16 s1 = 10613632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10613632, s2 = 1138865, int(edited[s2]) = 0 s1 = 10613632, s2 = 1138865, d1 = 24, d2 = 9 Dl.O(d1) = 86466877,72871464 Dl.O(d2) = 29185141 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10613632, s2 = 1138865, dlinesl.size( ) = 22 s1 = 14159597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159597, s2 = 11534264, int(edited[s2]) = 0 s1 = 14159597, s2 = 11534264, d1 = 37, d2 = 46 Dl.O(d1) = 181803639,190540016,198081631,197618341,189975796,262489500,261457842 Dl.O(d2) = 134131610,147344023,159692227,171007396,181112455,264883223,220717325,223313886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159597, s2 = 11534264, dlinesl.size( ) = 50 s1 = 11463635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463635, s2 = 11227726, int(edited[s2]) = 0 s1 = 11463635, s2 = 11227726, d1 = 28, d2 = 25 Dl.O(d1) = 273435324,261404648,273300065,192077085 Dl.O(d2) = 273062963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463635, s2 = 11227726, dlinesl.size( ) = 30 s1 = 11015607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015607, s2 = 11038132, int(edited[s2]) = 0 s1 = 11015607, s2 = 11038132, d1 = 0, d2 = 10 Dl.O(d1) = 12967711,8826372,8826371,12967710,16100076,11183073,11183072,16100072,15433541,12981375,8836777,8836776,12981368,18289136,22892232,17688965,12510638,8475364,8475365,12510639,17688969,24040926,28948943,21669242,21669243,28948946,255640188,16099906,16099908,22234738,22234724,16099900,16099899,16099893,16099882,13191459,13191458,11183066,7420145,4689033,4689036,254743173,255852151,256886485,257203056,72020915,59283998 Dl.O(d2) = 47887566,37969197,29405120,254923590,7350469,4642864,2796542,2796541,4642860,7350464,10499021,10499023,10946812,15799063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015607, s2 = 11038132, dlinesl.size( ) = 8 s1 = 11038131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038131, s2 = 11015608, int(edited[s2]) = 0 s1 = 11038131, s2 = 11015608, d1 = 6, d2 = 8 Dl.O(d1) = 16436732,16436734,22621588,29359561,22029238,15928134,15928135,13461794,9205892,6027014,254923591,18890245,25495056,33245491,42207098,52567585,52567587,42207100 Dl.O(d2) = 25495058,33245489,42207095,257203057,33245488,33245489,42207094,52567585,52567587,42207101,33245495,255667061,18890246,25495058,25495055,25495056,33245491,42207098,52567585,52567587,42207100,33245494,255667061,18890246,25495057,33245493,42207098,52567585,52567587,42207100,42207099,257793417,77610829,269505209,42207097,33245490,33245491,42207098,52567585,52567587,42207100,42207099,52567586,257203057,256886484,255852150,254743172,34639261,34639258,32742472,25052190,25052189,32742471,40497703,32245261,24647125,24647127,28970500,37142663,28629157,21390693,255640189,13155285,13155286,18515308,23568623,17257153,12137071,12137070,17257152,23568620,31052640,31052663,23568645,23568644,24962842,18444426,18444427,24962849,21926461,21926462,22812898,16594843,11573786,11573784,14437119,14437120,20129526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038131, s2 = 11015608, dlinesl.size( ) = 12 s1 = 14077926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12039688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14259656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051929, s2 = 11200060, int(edited[s2]) = 0 s1 = 14051929, s2 = 11200060, d1 = 16, d2 = 26 Dl.O(d1) = 263205189,194624829,201604170,207478415,209879306,209879303,207478413,201604169,201604170,207478415 Dl.O(d2) = 209879306,204524615,263754084,262022472,65393362,268769632,26055483,22620780,22620778,26055814,33878898,42924092,42924091,37072109,28569384,21341697,21341698,17566089,17566090,23909652,31401858,40082505,50103104,61583037,256169806,257245764,256711623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051929, s2 = 11200060, dlinesl.size( ) = 24 s1 = 11200059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200059, s2 = 14051930, int(edited[s2]) = 0 s1 = 11200059, s2 = 14051930, d1 = 20, d2 = 17 Dl.O(d1) = 262022473,263754085,200386995,193227789 Dl.O(d2) = 175335025,175335024,184886765,193227787,193227789,184886767,175335025,164572365,263205188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200059, s2 = 14051930, dlinesl.size( ) = 28 s1 = 14141933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141933, s2 = 11126492, int(edited[s2]) = 0 s1 = 14141933, s2 = 11126492, d1 = 70, d2 = 29 Dl.O(d1) = 225386693 Dl.O(d2) = 146594578 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439535, s2 = 14044826, int(edited[s2]) = 0 s1 = 11439535, s2 = 14044826, d1 = 20, d2 = 22 Dl.O(d1) = 263025072,142258380,272585977,115005098,100951021,100951020,115005097,128907186,128907173,115005087,100951013,259155426,60610753,73355488,86966866,100951016,115005092,261245397,261550858,115005094,100951017,100951018,115005095,128907183,128907175,115005088,115005089,128907177,142258378,260987720,115005097,128907186,128907173,115005087,100951013,100951012,115005085,100951023,259155428,73355489,86966868,100951020,115005097,128907186,128907173,115005087,100951013,100951012,115005084,128907171,142258371,261550856,115005088,115005089,128907177,142258378,142258381,261550860,128907191,142258379,154891641,154891644,262081316,142258373,154891637,154891638,154891645,261550862,128907193,128907192,142258382,154891644,262081316,142258373,154891637,154891638,154891645,262081318 Dl.O(d2) = 100951024,86966869,258526124,257306170,30687037,23270312,17007239,11920580,7974912,5074934,3077519,3077518,5074929,7974905,11920565,17007218,15188166,15188165,21138988,28353013,35020902,35020901,29034783,29034782,33215190,25468031,18867856,18867855,23270207,18867834,13444517,13444516,255665533,33215171,33215297,25468352,18868149,13444737,13444736,255381686,18868361,13444885,9193756,9193757,13444886,18868362,255665476,254922658,6018731,3765189,3765188,6018727,9193496,13444458,18867774,18868474,14488458,9968782,9968783,14488461,20192753,18868092,18868090,13444696,9193789,6018895,6018894,8272360,5337837,5337838,3765181,2255955,1309333,1309334,2255956,2255992,2255993,3765255,6018850,9193712,13444481,13444480,18867793,25467609,18867475,13444257,9193375,6018666,6018667,9193376,13444260,254922588,25468455,18868241,13444799,9193700,6018845,6018846,9193706,13444809,18867467,13445204,9193964,9193962,13445199,18868809,25469057,33215022,33215023,39504884,39504818,256042102,25467656,18867510,255665527,255509061,30368828 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439535, s2 = 14044826, dlinesl.size( ) = 18 s1 = 14027353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14027353, s2 = 10623527, int(edited[s2]) = 0 s1 = 14027353, s2 = 10623527, d1 = 36, d2 = 33 Dl.O(d1) = 16287407,11330084,7527144,7527145,9900960,6507556,4077928,2439925,2439922,4077920,3091377,3091380,5093618,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,26960940,26960937,28242745,21043759,15115557,255804173,254975512,25477556,18875884,13451110,13451113,18875887,18923033,15126371,10433173,6878202,4317572 Dl.O(d2) = 7494540,11287851,16236062,22396230,26615355,22632149,16444910,16444909,22632145,30001742,32752960,41664233,48238793,256647596,48944957,255751056,30432291,39021832,48944938,256226792,48174956,51288562,51288563,51288721,41108999,40094842,40094843,46370727,39021863,30432313,23026262,16784397,16784394,23026251,30432299,39021853,48944964,48944873,48944874,268713757,24687237,24687238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027353, s2 = 10623527, dlinesl.size( ) = 12 s1 = 14101499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101499, s2 = 14128538, int(edited[s2]) = 0 s1 = 14101499, s2 = 14128538, d1 = 37, d2 = 0 Dl.O(d1) = 127250588,140596857,262209767,263882251,185324677,263882249,185324685,175818397,262209759,153277558,165092199,165092169,261693153,99391138,99391137,113391924,127250576,140596836,153277538,165092165,263129445,175818387 Dl.O(d2) = 153277556,140596848,140596849,262209755,175818390,175818422,165092213,165092214,273995206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101499, s2 = 14128538, dlinesl.size( ) = 22 s1 = 14042537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14042537, s2 = 10624561, int(edited[s2]) = 0 s1 = 14042537, s2 = 10624561, d1 = 0, d2 = 21 Dl.O(d1) = 28970219,37513510,47421203,58808469 Dl.O(d2) = 140220573,140220574,152910195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14042537, s2 = 10624561, dlinesl.size( ) = 36 s1 = 10625283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10627307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10627307, s2 = 11468878, int(edited[s2]) = 0 s1 = 10627307, s2 = 11468878, d1 = 4, d2 = 2 Dl.O(d1) = 229605662 Dl.O(d2) = 223999571,221530545,218650160,215228599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10627307, s2 = 11468878, dlinesl.size( ) = 14 s1 = 11468877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468877, s2 = 10627303, int(edited[s2]) = 0 s1 = 11468877, s2 = 10627303, d1 = 0, d2 = 3 Dl.O(d1) = 207202476,212084711,216073091,219377220 Dl.O(d2) = 226648882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468877, s2 = 10627303, dlinesl.size( ) = 14 s1 = 10627380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10627382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11390081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390081, s2 = 11106560, int(edited[s2]) = 0 s1 = 11390081, s2 = 11106560, d1 = 19, d2 = 21 Dl.O(d1) = 170823238,273449191,197490132,189896959 Dl.O(d2) = 170903939,159577298,147219089,261012212,105943655,259184588,269653840,33357359,25596647,18986575,13548892,9275474,9275473,9450204,9275456,9275454,13548853,13769584,9439232,6187423,6187424,9439235,13769589,19265068,25927076,33357360,42338577,49427437,258224241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390081, s2 = 11106560, dlinesl.size( ) = 2 s1 = 11390081, s2 = 11106560, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11390081, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 11422945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12039994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099793, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11044419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044419, s2 = 14080618, int(edited[s2]) = 0 s1 = 11044419, s2 = 14080618, d1 = 22, d2 = 15 Dl.O(d1) = 24585310,32171232,40950539,47786869,59186888,71926297 Dl.O(d2) = 167390676,261213820,129876069,115978491,101934022,87961267,74359075,72839482,72839483,86433934,258632767,57794797,46439460,36574383,28102759,255367313,268064051,255366233,17482311,20978742,20978741,257027407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044419, s2 = 14080618, dlinesl.size( ) = 20 s1 = 14000686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14000686, s2 = 10632375, int(edited[s2]) = 0 s1 = 14000686, s2 = 10632375, d1 = 25, d2 = 56 Dl.O(d1) = 95325325 Dl.O(d2) = 86384905,72788834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14000686, s2 = 10632375, dlinesl.size( ) = 26 s1 = 11677521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235585, s2 = 11276168, int(edited[s2]) = 0 s1 = 11235585, s2 = 11276168, d1 = 8, d2 = 59 Dl.O(d1) = 95093424 Dl.O(d2) = 81035625,95093425,260393487,137270112,137270119,137270120,150310964,150310965,272201682,137270114,128985932,259968190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235585, s2 = 11276168, dlinesl.size( ) = 64 s1 = 10988233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14044936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654435, s2 = 14143636, int(edited[s2]) = 0 s1 = 11654435, s2 = 14143636, d1 = 36, d2 = 31 Dl.O(d1) = 274902652 Dl.O(d2) = 266665736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654435, s2 = 14143636, dlinesl.size( ) = 38 s1 = 14143635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143635, s2 = 11654436, int(edited[s2]) = 0 s1 = 14143635, s2 = 11654436, d1 = 24, d2 = 29 Dl.O(d1) = 266665737 Dl.O(d2) = 274902653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143635, s2 = 11654436, dlinesl.size( ) = 30 s1 = 14143442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14001024, s2 = 11613608, int(edited[s2]) = 0 s1 = 14001024, s2 = 11613608, d1 = 25, d2 = 15 Dl.O(d1) = 244477425,244676148,244861511,244861510 Dl.O(d2) = 267158496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14001024, s2 = 11613608, dlinesl.size( ) = 32 s1 = 14001034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14153297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14153297, s2 = 14001033, int(edited[s2]) = 0 s1 = 14153297, s2 = 14001033, d1 = 41, d2 = 39 Dl.O(d1) = 242996516,242674770,242329581,274893356,241117427,240647527,266867088,239593408,239002061,238359496,266682850,236878033,236024199 Dl.O(d2) = 235084614,266252970,231664485,231664484,266252975,235084618,234051297,234051296,266447501,236024200,266354220,231664482,231664481,266252973,234051303,234051302,234051291,266354225,266354218,274672725,234051291,266354225,235084626,234051301,232916947,231664490,231664491,232916949,266354229,274730503,274702973,232916928,231664478,231664477,232916927,274672723,236024196,236878029,236024201,236024202,266610691,238359497,266810274,266682852,237654352,266748791,266810272,266610688,236024205,235084623,274702975,235084629,234051307,232916950,266143458,230271232,230271231,231664493,266252977,235084621,234051299,234051300,274702975,235084629,235084630,236024208,236878040,266682856,266533024,235084628,235084621,235084622,236024203,236878036,236878039,237654352,266748791,266810272,238359500,238359502,266682848,236878028,236024195,235084610,234051281,232916926,232916927,232916951,231664495,265894420,274421742,265242852,216538174,216538173,265038280,216538172,265038280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14153297, s2 = 14001033, dlinesl.size( ) = 30 s1 = 15054071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054071, s2 = 12010746, int(edited[s2]) = 0 s1 = 15054071, s2 = 12010746, d1 = 29, d2 = 2 Dl.O(d1) = 267532350 Dl.O(d2) = 243596148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054071, s2 = 12010746, dlinesl.size( ) = 38 s1 = 11677929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15052203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15052203, s2 = 1874503, int(edited[s2]) = 0 s1 = 15052203, s2 = 1874503, d1 = 28, d2 = 11 Dl.O(d1) = 272898923,261419008 Dl.O(d2) = 48600460,48600462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15052203, s2 = 1874503, dlinesl.size( ) = 8 s1 = 10643333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11285139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285139, s2 = 11088246, int(edited[s2]) = 0 s1 = 11285139, s2 = 11088246, d1 = 23, d2 = 1 Dl.O(d1) = 258173690 Dl.O(d2) = 38781671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285139, s2 = 11088246, dlinesl.size( ) = 32 s1 = 14073653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095942, s2 = 11076794, int(edited[s2]) = 0 s1 = 14095942, s2 = 11076794, d1 = 10, d2 = 18 Dl.O(d1) = 258408694 Dl.O(d2) = 99829385,256226688,72283100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095942, s2 = 11076794, dlinesl.size( ) = 18 s1 = 10646413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10646495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10646495, s2 = 14001386, int(edited[s2]) = 0 s1 = 10646495, s2 = 14001386, d1 = 3, d2 = 8 Dl.O(d1) = 256934560,38147351,34644495 Dl.O(d2) = 255729289,14213409,9771054,6424374,4030397,2415193,1398042,795567,450861,253979,140504,140505,253982,450868,795579,1398063,2415224,4030105,2415036,2415038,2415053,1397973,1397972,2415049,4030127,6423882,9770205,14212020,9770993,6424330,6424331,9770996,14213323,19839877,26653315,26653652,19840162,14213524,255315939,19840154,26652458,19838856,14212441,14212442,19838858,256202011,19838217,19838216,14212534,9770510,254466459,2415122,1398009,795551,450855,450853,795549,1398003,2415112,4030233,6424060,4030424,2415210,2415209,4030421,6424416,9771125,9770165,9770166,14211974,255729197,14212270,14212274,19838673,26652287,19838808,19838807,17048712,11960329,8006514,5097083,5097082,8006511,11960322,17048705,23310658,30728767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10646495, s2 = 14001386, dlinesl.size( ) = 10 s1 = 11678205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12040428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13711579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13711579, s2 = 14104552, int(edited[s2]) = 0 s1 = 13711579, s2 = 14104552, d1 = 23, d2 = 28 Dl.O(d1) = 116112491,116112492,130022235,143355335,262351849,262822875,187236209,186112118,186112117,262928258,166063120,166063118,176699376,176699395 Dl.O(d2) = 116112482,102054715,88069209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13711579, s2 = 14104552, dlinesl.size( ) = 2 s1 = 13711579, s2 = 14104552, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13711579, Dl.E( ) = 32, 1.31e-05 seconds used appending s1 = 14218727, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10648725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10648725, s2 = 11295978, int(edited[s2]) = 0 s1 = 10648725, s2 = 11295978, d1 = 2, d2 = 12 Dl.O(d1) = 60203703 Dl.O(d2) = 259132450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10648725, s2 = 11295978, dlinesl.size( ) = 2 s1 = 10648725, s2 = 11295978, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10648725, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 11295977, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12040486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626499, s2 = 11621352, int(edited[s2]) = 0 s1 = 11626499, s2 = 11621352, d1 = 7, d2 = 0 Dl.O(d1) = 244602772 Dl.O(d2) = 243941959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626499, s2 = 11621352, dlinesl.size( ) = 18 s1 = 11325081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14118252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155315, s2 = 11617298, int(edited[s2]) = 0 s1 = 14155315, s2 = 11617298, d1 = 35, d2 = 10 Dl.O(d1) = 267413687 Dl.O(d2) = 244658997,244459453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155315, s2 = 11617298, dlinesl.size( ) = 26 s1 = 11186203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186203, s2 = 11115298, int(edited[s2]) = 0 s1 = 11186203, s2 = 11115298, d1 = 28, d2 = 20 Dl.O(d1) = 258134850,23269694,30686329,39283284,46774972,270801591 Dl.O(d2) = 258122292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186203, s2 = 11115298, dlinesl.size( ) = 28 s1 = 14135051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135051, s2 = 56050, int(edited[s2]) = 0 s1 = 14135051, s2 = 56050, d1 = 39, d2 = 151 Dl.O(d1) = 211839745 Dl.O(d2) = 11130153,11193277,11193844,15235084,12035090,8090791,5183524,3162481,1851280,1056520,594039,594040,1056524,1851290,3162503,5183575,5183781,8091166,7427332,7426535,7094777,5476063,5476059,8471737,12506037,11016541,7293244,4599460,2767181,2767182,4599465,5833302,5833300,8937128,7293209,4599447,4599444,7293196,8471714,8471713,12034955,8090693,5183466,5183467,8090696,12034957,15761119,10915429,7218992,7218991,10915425,15761115,16114663,16114662,22252797,268085136,21341118,21341117,28568661,22148695,16029684,15526695,10738320,10738317,15526688,21543503,18212042,12917254,8786921,5723035,254289539,2123224,3562982,5634482,3503039,3503036,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197237,2082371,2081628,1196882,1196881,2081641,3502077,5635172,8662523,12746612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135051, s2 = 56050, dlinesl.size( ) = 72 s1 = 14130879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130879, s2 = 11071488, int(edited[s2]) = 0 s1 = 14130879, s2 = 11071488, d1 = 12, d2 = 3 Dl.O(d1) = 200944879,262471232,165469832,272373270,185610236,262931252,206915916,273789212,263346102,200944889,264056642,262931250,193866670,193866668,261971988,260868046,141024598,127676490,113808529,99794624,99794625,113808532,127676492,141024600,153690707,260868044,141024595,127676488,113808528,99794623,258400498,127676487,141024593 Dl.O(d2) = 59516224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130879, s2 = 11071488, dlinesl.size( ) = 16 s1 = 11538349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14873058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14042295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14042295, s2 = 14111920, int(edited[s2]) = 0 s1 = 14042295, s2 = 14111920, d1 = 50, d2 = 59 Dl.O(d1) = 21533379,15519049,15519051,21533383,28799445,37337302,47247161,58635253,47241667,37331647,35092626,29594667,22245982,16108831,16108835,11333442,11333444,15516219,15516218,20116752,14426691,14426693,20116760,27008204,31862923,24340688,20116920,20116919,257311429,67657455,258531136,109438451 Dl.O(d2) = 162534391,152752975,140063390,126716346,126716345,140063388,137363193,123631418,109438450,109438449,123631417,260992600,162534391,152752975,140063390,126716346,259629484,84952249,257760822,256617454,28799436,37337286,43369293,34270092,26394132,26394131,26966556,20081691,16434131,13012300,13012302,16434147,11449271,11449269,16009481,22123548,29457686,38019681,47933503,59325334,72059720,85646868,99596864,113612103,260043202,153523739,165317599,165317601,165317602,176011905,185485010,193751366,200839906,206822079,211765744,215805607,219146960,221968003,223061338,220420479,217311221,213577614,209018801,203465325,262801946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14042295, s2 = 14111920, dlinesl.size( ) = 52 s1 = 14111919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111919, s2 = 14042296, int(edited[s2]) = 0 s1 = 14111919, s2 = 14042296, d1 = 31, d2 = 32 Dl.O(d1) = 141710681,128363310,260043203,86504392,72907731,60170743,48776263,38856205,30271766,22874522,16646292,11614216,7733714,4896204,4896205,7603608,4902015,4902013,7589372,11418889,13343831,9117272,9117273,13343834,18743950,25322818,25085095,256617455,257760823,76933955,259629485,119183083,133018138,146252163,150401187 Dl.O(d2) = 133018147,137359854,261555699,260400891,95177748,258531137,55313244,257311428,14425022,9922816,9922818,14425028,20114387,18289807,12981859,12981857,10807410,7141267,7141269,10807419,7398094,4673693,4673689,7398084,11153603,16062985,22190811,29533871,38097933,41698945,32782613,25085104,18540790,13174059,13174057,18540786,25085096,32782599,41698929,52010551,63826306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111919, s2 = 14042296, dlinesl.size( ) = 16 s1 = 14054115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14054115, s2 = 11216618, int(edited[s2]) = 0 s1 = 14054115, s2 = 11216618, d1 = 11, d2 = 4 Dl.O(d1) = 257171915,50566477,40529968,31832366,31832367,257107131,258935354,62504219,50903729 Dl.O(d2) = 270486831,51747680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14054115, s2 = 11216618, dlinesl.size( ) = 12 s1 = 11630635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630635, s2 = 2693296, int(edited[s2]) = 0 s1 = 11630635, s2 = 2693296, d1 = 141, d2 = 155 Dl.O(d1) = 245471057,245608349,245471060 Dl.O(d2) = 30862413,23432473,17156312,12059713,8108498,5194954,3169752,3169753,5194956,3171885,3171888,5199088,8115262,8116803,255150347,10701019,10701017,13522722,13522721,15218233,21178488,17159150,12062562,12062563,255027309,10574330,268175681,9939487,6532834,6532833,9939482,14447729,17159571,15293463,15293462,15474814,12435030,8404180,8404181,10530729,10530728,10552389,10552390,10564852,6968297,6968299,10564854,10565015,6968409,6968404,10565029,15257936,15257935,10842585,7167771,7167768,10842573,8362105,8362103,12374613,9237938,9237940,10543294,6953223,4368948,4364999,2615667,2615664,4364987,6946083,8103557,5192125,5192123,6056622,9247883,6533133,6533130,9939971,14448405,20142657,27035545,35122699,44500529,55346823,67686475,77235759,64091436,52243898,41906619,32967214,25245242,25245243,32967208,32967207,32137932,255818196,8736747,8736749,5976389,3737491,3737494,5976400,9132556,13363054,18766083,25245618,31315362,24555960,18118386,12847505,8736651,8736652,5687904,3538353,2106259,2106260,3538358,5687924,8736930,12847968,8737211,8737212,12848478,18119962,20287652,20886428,14983207,14983208,12848460,8737196,5688065,5688064,8737192,12848455,18119928,18117486,18117485,24554744,18674277,255647809,32966263,33076913,42020918,42020919,256012072,40914835,32968390,25246278,25246277,32968388,41907752,40914133,40914134,40914591,32581340,24924563,24924562,31315855,39391053,49319112,40916335,268607628,62687740,255811952,51696968,41447300,41447299,38013069,38013068,39355201,30754623,30754626,24010452,24010448,31510393,40196320,40914402,48554159,40916426,37522388,37522387,47430002,40196612,268436954,255696430,46800132,39058733,39058731,47791758,37867195,37867198,40196387,31510453,24010488,17663673,17663675,24010491,29339376,22007920,22007918,29339370,37908200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630635, s2 = 2693296, dlinesl.size( ) = 46 s1 = 10657316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10657316, s2 = 10262043, int(edited[s2]) = 0 s1 = 10657316, s2 = 10262043, d1 = 92, d2 = 127 Dl.O(d1) = 216726107,273748528,264572316,274479585,228807247,227037230,264572306,219950835,219950834,222672028,222672054,264822316,225008273,227037225 Dl.O(d2) = 264822322,221899094,219069714,215719270,211668448,206712324,206712325,207896495,202095903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10657316, s2 = 10262043, dlinesl.size( ) = 40 s1 = 14999279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14999279, s2 = 11351462, int(edited[s2]) = 0 s1 = 14999279, s2 = 11351462, d1 = 30, d2 = 39 Dl.O(d1) = 273087399 Dl.O(d2) = 36620809,257402757,70545560,84082675,84082674,84082678,97956591,84082676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16266427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14193965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14193965, s2 = 10659216, int(edited[s2]) = 0 s1 = 14193965, s2 = 10659216, d1 = 0, d2 = 40 Dl.O(d1) = 77764031 Dl.O(d2) = 233249488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14193965, s2 = 10659216, dlinesl.size( ) = 66 s1 = 11271685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11271685, s2 = 10660358, int(edited[s2]) = 0 s1 = 11271685, s2 = 10660358, d1 = 7, d2 = 18 Dl.O(d1) = 112308889 Dl.O(d2) = 260400238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11271685, s2 = 10660358, dlinesl.size( ) = 20 s1 = 11114493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114493, s2 = 11319174, int(edited[s2]) = 0 s1 = 11114493, s2 = 11319174, d1 = 0, d2 = 25 Dl.O(d1) = 47886647,59283169 Dl.O(d2) = 260573343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114493, s2 = 11319174, dlinesl.size( ) = 36 s1 = 10661276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10661276, s2 = 14108406, int(edited[s2]) = 0 s1 = 10661276, s2 = 14108406, d1 = 16, d2 = 15 Dl.O(d1) = 274364397,227050223,228819243,230377758,266152385,234131333,235155185,266753503,274780222,235155184,234131329,274607834,222687797,265053947,212858637,265053941,265053943,216746548,216746549,265053949,222687800,225022563,227050226,228819245,230377762,231762215,233006116,234131335,266454261,236934515,266454259,234131328,233006113,266033643,228819241,227050221,265442923,219968673,274123987 Dl.O(d2) = 178238820,167793836,156198127,143667798,260751995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10661276, s2 = 14108406, dlinesl.size( ) = 18 s1 = 12040772, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10661966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14146565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127633, s2 = 10662928, int(edited[s2]) = 0 s1 = 14127633, s2 = 10662928, d1 = 14, d2 = 19 Dl.O(d1) = 264127941,264684229,264922458,265332922,265510777,227809375,229466278,230938534 Dl.O(d2) = 229466278,230938535,232257781,266129170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127633, s2 = 10662928, dlinesl.size( ) = 18 s1 = 12040808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12040808, s2 = 11470646, int(edited[s2]) = 0 s1 = 12040808, s2 = 11470646, d1 = 11, d2 = 4 Dl.O(d1) = 31120697,39801178,49822023 Dl.O(d2) = 129591932,262327497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12040808, s2 = 11470646, dlinesl.size( ) = 12 s1 = 10663666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10664349, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14091531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14091531, s2 = 14077082, int(edited[s2]) = 0 s1 = 14091531, s2 = 14077082, d1 = 15, d2 = 0 Dl.O(d1) = 258266673,50120094,50120091,40099663 Dl.O(d2) = 31419657,23929491,23929490,24272446,17892864,12674084,12674082,9967790,9967793,9978750,12414364,14501694,12414359,12414357,12414284,8390583,5414445,5414446,8390585,12414288,17587581,255570419,12414049,8390441,5414375,3328260,3328261,5414376,8390442,12414050,17587222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14091531, s2 = 14077082, dlinesl.size( ) = 8 s1 = 11029057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029057, s2 = 16399660, int(edited[s2]) = 0 s1 = 11029057, s2 = 16399660, d1 = 10, d2 = 13 Dl.O(d1) = 255264968,53454326 Dl.O(d2) = 258412188,135640133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029057, s2 = 16399660, dlinesl.size( ) = 24 s1 = 14002424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299627, s2 = 11268188, int(edited[s2]) = 0 s1 = 11299627, s2 = 11268188, d1 = 21, d2 = 14 Dl.O(d1) = 263066797,185925520,185925521,262091726 Dl.O(d2) = 260999264,130089895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299627, s2 = 11268188, dlinesl.size( ) = 14 s1 = 11268187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268187, s2 = 11299628, int(edited[s2]) = 0 s1 = 11268187, s2 = 11299628, d1 = 8, d2 = 14 Dl.O(d1) = 109530651,260999265 Dl.O(d2) = 262091727,173636496,176495521,263066796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268187, s2 = 11299628, dlinesl.size( ) = 6 s1 = 14095805, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10667734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10667734, s2 = 11492124, int(edited[s2]) = 0 s1 = 10667734, s2 = 11492124, d1 = 50, d2 = 2 Dl.O(d1) = 265903294,233401272,234487064 Dl.O(d2) = 221246384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10667734, s2 = 11492124, dlinesl.size( ) = 56 s1 = 11322311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322311, s2 = 11414986, int(edited[s2]) = 0 s1 = 11322311, s2 = 11414986, d1 = 4, d2 = 15 Dl.O(d1) = 273619204 Dl.O(d2) = 211675125,215724949,219074466,221903035,224330889,226438435,228273489,226438427,265349944,219074458,219074457,221903027,224330879,226438425,226438445,224330901,265711785,228273504,226438442,226438441,224330909,224330891,224330890,221903056,265349948,221903062,224330911,226438429,265349950,221903065,221903064,224330913,226438420,224330872,221903019,274177460,273970492,264488479,215724936,219074452,265349942,219074454,215724938,211675119,206719961,200722197,193613672,185318671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322311, s2 = 11414986, dlinesl.size( ) = 8 s1 = 11322523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322523, s2 = 10669284, int(edited[s2]) = 0 s1 = 11322523, s2 = 10669284, d1 = 15, d2 = 12 Dl.O(d1) = 122014355,107639350,259634924 Dl.O(d2) = 255702655,33927303,42980818,257180936,41939739,32998509,25273849,25273850,19319425,13814476,10787313,10787310,15593535,16419644,14926534,14926532,20824690,22723561,27275088,20838366,20838367,15016939,15016941,15598627,10790802,10790804,12792286,12792285,18045550,15594013,10787632,7127486,4487270,4487271,255045063,21624694,21482648,21482649,28740220,22343417,16194468,254775387,7473236,11257376,14086303,14086304,19652339,17844889,17267355,12146804,12146803,17267353,17844227,24214636,31721856,26966566,26386191,26386190,26398993,23625156,17309586,17309587,23625158,19654930,14088479,14088483,16577432,16577433,21104656,23179079,28315000,24831916,18743154,18743155,23389182,23179329,16914469,16663917,16663916,18330283,17122113,12032527,12032528,17122120,21104254,17747999,12557894,12557895,17748000,15585467,15585466,17121781,17121782,16915533,11838293,7911665,7911664,11838289,16915527,23180486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322523, s2 = 10669284, dlinesl.size( ) = 12 s1 = 11536933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536933, s2 = 10669442, int(edited[s2]) = 0 s1 = 11536933, s2 = 10669442, d1 = 31, d2 = 17 Dl.O(d1) = 265356464,273846816,174864993 Dl.O(d2) = 259278470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536933, s2 = 10669442, dlinesl.size( ) = 22 s1 = 11343011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14962825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14962825, s2 = 14038102, int(edited[s2]) = 0 s1 = 14962825, s2 = 14038102, d1 = 57, d2 = 10 Dl.O(d1) = 119687123,105448325,91225823,91225824 Dl.O(d2) = 33522292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14962825, s2 = 14038102, dlinesl.size( ) = 42 s1 = 11595093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12041066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10674007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474415, s2 = 10674101, int(edited[s2]) = 0 s1 = 11474415, s2 = 10674101, d1 = 23, d2 = 17 Dl.O(d1) = 262988106,263767892 Dl.O(d2) = 230668203,232017159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474415, s2 = 10674101, dlinesl.size( ) = 28 s1 = 10983657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983657, s2 = 11013478, int(edited[s2]) = 0 s1 = 10983657, s2 = 11013478, d1 = 9, d2 = 3 Dl.O(d1) = 1349420,769867,769864 Dl.O(d2) = 437568,437565,760140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983657, s2 = 11013478, dlinesl.size( ) = 10 s1 = 11013477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14002884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12360930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10675380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14060481, s2 = 14099806, int(edited[s2]) = 0 s1 = 14060481, s2 = 14099806, d1 = 24, d2 = 9 Dl.O(d1) = 257025896,254833221,8158286,12126528,17243884,13462981,9206641,9206640,13462980,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,1487607,841718,474705,474706,841723,1487619,2582081,4317328,4221557,4221559,6737471,6737469,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,21755054,16186437,11251324,7468764,7468765,255088213,22333349,22399637,29579676,36747228,28251820,28251819,28251821,21051309,15120985,10429613,6876082,4316447,4316449,6104109,9318469,9318505,9318504,13608764,13608771,9318510,9318511,10253251,14911576,20806473,20806587,15119369,11289389,7495429,4738136,4738134,7495463,11289455,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,5673432,5673435,8715521,8715523,12818552,18080645,24509770,20806134,14911355,14911356,12818700,12818701,18080878,15120950,10429591,6876074,6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120850,21051128,255804162,36753050,37810594,32082746,32082745,24514439,24508156,18079429,12817793,12817792,18079425,24508149,255216055,12820605,18083831,21528661,28793497,28546909,21322863,21322864,28546911,37046476,32082355,32082354,32082396,32082397,24508332,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604986,15351417,21322721,28546738,256202190,269174032,258506328,84569791,257288976,46924405,46924404,58290201,71005535,258506326,80343389,66917115,258506325,258506328,84569791 Dl.O(d2) = 84569796,259913775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14060481, s2 = 14099806, dlinesl.size( ) = 26 s1 = 10683107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120173, s2 = 11389752, int(edited[s2]) = 0 s1 = 14120173, s2 = 11389752, d1 = 25, d2 = 11 Dl.O(d1) = 265034171,222482973,274177026,265348818,266681493,274744156,237460335,274723555,232622267,231342704,265859255,265714431,265557041,224365537,265714423,229914693,231342697,232622266,233778644,234831273,266328075,266113391,229914695,265714425,224365541 Dl.O(d2) = 200789715,273542147,261701101,260574725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120173, s2 = 11389752, dlinesl.size( ) = 20 s1 = 11035525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035525, s2 = 6452787, int(edited[s2]) = 0 s1 = 11035525, s2 = 6452787, d1 = 2, d2 = 17 Dl.O(d1) = 21840455 Dl.O(d2) = 254636822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035525, s2 = 6452787, dlinesl.size( ) = 18 s1 = 14157068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14003220, s2 = 14157067, int(edited[s2]) = 0 s1 = 14003220, s2 = 14157067, d1 = 8, d2 = 10 Dl.O(d1) = 247449813,267663758,247426406,247402379,247378002,247378003,247402377,247426399,247402374,267658473,267661132,267661125,247471878,267668781,247492837,247471875,247471876,247471868,247449824,247426402,267655646 Dl.O(d2) = 247426420,247449846,247471855,267663758,247426406,247402379,247378002,247352570,247325520,247325518,247352566,247377995,267658471,267661130,247402369,267658471,247449810,247471854,267668782,247449822,267663755,247471857,247449814,247449813,267663758,247426406,247402379,247378002,247352570,247325520,247296051,247264000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14003220, s2 = 14157067, dlinesl.size( ) = 2 s1 = 14003220, s2 = 14157067, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14003220, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14003229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14137161, s2 = 15333079, int(edited[s2]) = 0 s1 = 14137161, s2 = 15333079, d1 = 24, d2 = 10 Dl.O(d1) = 219547466,222319740,224699683,265740921,230153382,231560155,232821162 Dl.O(d2) = 266134267,232980336,265996274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14137161, s2 = 15333079, dlinesl.size( ) = 18 s1 = 10986121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986121, s2 = 11182236, int(edited[s2]) = 0 s1 = 10986121, s2 = 11182236, d1 = 36, d2 = 32 Dl.O(d1) = 2067897,1858482,1060608,596328,596327,667239,596016,596015,1060062,1185952,1060245,1060246,1186653,2067293,3482532,3477508,2063470,2063469,2064915,3479385,3480120,5604855,5604751,5604752,5610707,8618796,5604852,3480118,267916807,17912247,256049417,257105069,258297393,88462333,88462326 Dl.O(d2) = 187492849,178282632,272217536,127961946,259396886,99068827,85144004,71573842,65000130,58675555,58675556,53326888,42865320,33824218,26006627,255428868,13824999,19333068,19228055,19228054,25887921,31709740,31311889,31311890,37287180,254282462,26040757,19362284,19362283,23418515,30848799,31711618,25889453,19229833,13737576,13737575,16612019,11586733,11586732,14347942,17524853,23779747,17449716,12300676,8307970,8307969,12300674,17449713,22796241,29524068,24133719,17769982,12575296,8528845,5527039,3413172,3413173,5527045,8528853,12575311,17770009,22797434,30186898,23682105,17361845,12600935,12600931,17800986,254446400,12553132,8511138,8511139,11243925,11243923,16176959,16004169,11110783,11110782,16004165,17788801,17788799,24155889,23811894,17478016,12322829,8323701,8323700,12322822,17478005,23811878,22322323,22322324,21494066,254205134,7075605,8259579,8259580,12231815,17361613,12232248,12232250,16888790,13496491,13496489,12608733,8557597,5554514,5554518,8557614,8262952,5331041,3276864,3276865,5331050,6392846,6392844,254190798,8263010,5331069,3276875,1927447,1927448,3276878,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355432,8301300,12291624,12285897,8297057,8297055,8296977,8296975,12285771,8302802,5356930,5356932,5356916,3292769,3292768,5356910,8302762,8308223,8308224,12301121,17362509,23682765,23757934,254269322,17439477,17439476,23767469,31251908,29775473,29775474,38346974,48257390,59644188,72378693,85973504,88038953,74428655,61646761,50162755,40139362,31457290,23962611,17613426,17613427,19701955,19701954,256191579,43420051,53946373,43420047,34319184,34319183,43420043,53946359,43420037,43420038,53946361,66016369,79384682,84079952,70542851,57840920,46484792,36618331,28144469,20966196,15056469,10382165,10382164,15056466,20966189,28144454,30727654,30727655,31462709,23966763,23966764,256310638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986121, s2 = 11182236, dlinesl.size( ) = 2 s1 = 10986121, s2 = 11182236, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10986121, Dl.E( ) = 38, 1.79e-05 seconds used appending s1 = 11680623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11680623, s2 = 11065444, int(edited[s2]) = 0 s1 = 11680623, s2 = 11065444, d1 = 12, d2 = 16 Dl.O(d1) = 263240220 Dl.O(d2) = 40011234,31539068 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14189707, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11346779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346779, s2 = 14160530, int(edited[s2]) = 0 s1 = 11346779, s2 = 14160530, d1 = 17, d2 = 15 Dl.O(d1) = 264380849 Dl.O(d2) = 232121368,233327297,266387167,266830641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346779, s2 = 14160530, dlinesl.size( ) = 24 s1 = 11015319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11133979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133979, s2 = 11015320, int(edited[s2]) = 0 s1 = 11133979, s2 = 11015320, d1 = 7, d2 = 4 Dl.O(d1) = 43022974 Dl.O(d2) = 33965360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133979, s2 = 11015320, dlinesl.size( ) = 10 s1 = 12041490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11680891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14125935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10696118, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10697144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136069, s2 = 14296848, int(edited[s2]) = 0 s1 = 14136069, s2 = 14296848, d1 = 17, d2 = 53 Dl.O(d1) = 217701907 Dl.O(d2) = 255199964,255199962,21895447,15817304,15817306,21895455,29209202,22539317,16364492,11388207,11388208,16364494,14919678,14919679,15817685,10961776,7255865,4576121,2753220,1596050,907338,511657,511656,907334,1596045,2753208,4576097,7255790,10961645,255869985,37771499,37771697,29209838,29209837,37771696,47693073,48391925,256906221,37771487,47692853,47692620,37771178,37771176,31198164,31198163,39879381,49900823,59091276,47692616,37771170,37771171,39755045,49773615,48391902,38488733,37771151,29209300,22174506,16049857,16049858,22174508,29209281,29209282,256906193,29209342,21895555,21895556,29209349,37071772,28569100,28569102,37071780,46951685,52820967,42419321,33428500,33428501,268934139,256953729,49959424,58318662,268613448,28569114,28569112,37071792,37077911,28647193,21405239,15417708,10657733,10657732,15417703,21405233,28647180,268917769,37163644,37163643,47054404,58429003,256907886,71078189,71078145,257487754,256857530,37106584,28598366,255828086,46991470,58361569,71078121,72419217,59684623,59684624,72419219,84640918,73402065,60655643,49254978,49254980,58318589,49254939,39328209,39328210,49254946,60655607,73402033,87017044,98944020,255976700,72419239,60489286,60489285,73236013,72419279,59684678,59684677,72419278,84598589,71034283,58318643,46951671,37071766,28569096,21341495,21341494,28569092,37071758,46951660,58318615,71034244,72419198,59684609,48298331,48298330,59609408,59609407,269307452,257422724,85937644,73401992,73401993,87017016,83947782,70420946,57725961,46375707,46375706,48298347,59684640,72419235,86015351,84598580,71034274,58318637,58318638,71034276,59684704,48298395,38388028,29815300,22447378,16277780,16277779,22447374,29815294,38388020,48298385,59684685,72419171,72419173,86015313,83947795,71850768,59112656,47715041,47715040,268934580,84598517,71850631,59112527,47714924,47714925,59112530,59112693,59112692,71850814,71850518,71850519,85435936,71850497,59112419,59112418,71850495,84281274,70729048,58013374,58013375,70729052,72419302,59684699,59684700,72419295,85435991,71850615,71850619,59112637,59112636,71850739,71850780,59112663,47715048,37794222,29231952,21915048,15832150,10971581,7262205,7262203,10971572,15832138,21915023,29231905,37793957,29231817,29231816,29231870,21915004,15832130,15832131,21915007,29231873,37794054,47714673,47715100,37794262,29231979,29231977,37794257,47715094,59112709,57725978,257391383,36516206,28051834,28051833,36516203,28051854,28051855,36516245,46375443,57725662,256727958,36516309,28051896,28051897,36516029,46375196,46375340,36516439,28051996,20883213,14980707,10312820,6783496,4252399,2542189,2542188,4252395,6783490,10312805,14980695,20883198,28051971,36516125,28051780,20883091,20883092,28051783,28051903,36516109,46375299,46375562,37830201,29264501,29264500,28051745,20883070,255001393,6783474,6783473,10312773,14980625,20883063,28051723,36516066,32604837,24941389,24941388,32604834,24941438,24941439,32604934,36516408,29236446,21918640,21918641,28052012,256275283,28052079,36516568,256366773,29236486,37799308,46375685,36516466,28052011,20883223,14980711,14980710,20883219,28052003,256813041,41483729,41483728,46375306,36516118,28051771,21918646,15834643,10973160,7263153,4580519,2755825,2755826,4580525,7263167,255062819,21918730,29236552,37799374,32604939,32604938,41483774,47719747,41483817,32604977,32604978,41483819,47720011,37799343,37799341,37799124,37799121,41483648,255871944,38500975,38500976,255871946,257488439,258098452,257747801,59117319,47719915,37799252,29236441,29236442,37799254,42718006,33687997,25881654,19222429,19222430,255871953,21918637,29236439,37799249,47719906,51754029,51753956,255835758 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136069, s2 = 14296848, dlinesl.size( ) = 28 s1 = 10700083, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10702051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10702051, s2 = 11383808, int(edited[s2]) = 0 s1 = 10702051, s2 = 11383808, d1 = 3, d2 = 15 Dl.O(d1) = 175916923,262216543 Dl.O(d2) = 261151163,127367147,127367146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10702051, s2 = 11383808, dlinesl.size( ) = 8 s1 = 14118163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14118163, s2 = 11463426, int(edited[s2]) = 0 s1 = 14118163, s2 = 11463426, d1 = 27, d2 = 6 Dl.O(d1) = 173552916,183349358,191914030,199282022,205516301,210673641,214886826,214886825,218353567,264692020,221266627,221266628,264692022,218353569,218353568 Dl.O(d2) = 214886825,218353567,264136666,210673628,205516291,205516292,210673629,214886815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14118163, s2 = 11463426, dlinesl.size( ) = 14 s1 = 10702725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14132287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10703957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11329753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032771, s2 = 10711257, int(edited[s2]) = 0 s1 = 11032771, s2 = 10711257, d1 = 6, d2 = 4 Dl.O(d1) = 255809481,36827820,46710112,55308238,67647333,81113735,95172032,109428373,107752897,93325045,79194171,79194170,81116698,257418548,123624829,137357116,150398355 Dl.O(d2) = 173561349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032771, s2 = 10711257, dlinesl.size( ) = 12 s1 = 11602815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11533709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533709, s2 = 11422862, int(edited[s2]) = 0 s1 = 11533709, s2 = 11422862, d1 = 17, d2 = 15 Dl.O(d1) = 265233687 Dl.O(d2) = 263219441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533709, s2 = 11422862, dlinesl.size( ) = 22 s1 = 14004956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150245, s2 = 11565676, int(edited[s2]) = 0 s1 = 14150245, s2 = 11565676, d1 = 5, d2 = 8 Dl.O(d1) = 238181696 Dl.O(d2) = 236661349,235787440,234827667,233774201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150245, s2 = 11565676, dlinesl.size( ) = 18 s1 = 14114441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114441, s2 = 11682369, int(edited[s2]) = 0 s1 = 14114441, s2 = 11682369, d1 = 0, d2 = 49 Dl.O(d1) = 162620408 Dl.O(d2) = 199355549,273830813,264134667,210735202,214943322,218404912,221313476,223804924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114441, s2 = 11682369, dlinesl.size( ) = 38 s1 = 11641927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11641927, s2 = 11561728, int(edited[s2]) = 0 s1 = 11641927, s2 = 11561728, d1 = 56, d2 = 3 Dl.O(d1) = 247286081,247316595 Dl.O(d2) = 234522902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11641927, s2 = 11561728, dlinesl.size( ) = 22 s1 = 11026517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11026517, s2 = 11464250, int(edited[s2]) = 0 s1 = 11026517, s2 = 11464250, d1 = 11, d2 = 13 Dl.O(d1) = 254287218,5905134,9037672,13248686,18634521,24878188,18380256,13054823,254092198,2161161,2161159,1923725,1099018,1099020,1737757,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1250106,710645,401073,224409,224406,401059,710603,1250020,2160167,3617439,5800175,8891428,13051884,16724070,17191208,12088127,8128969,7999187,7999185,8492135,8492134,10001653,10001654,14536464,19032916,13585599,9302332,9302330,6771927,6771926,10299310,10020781,6586189,6586188,10001647,14536457,15672548,14948672,14948673,15008170,20351976,20351975,23236101,23236100,30657392,23421860,23421862,23935953,23935954,26216334,26216335,28902018,21627383,15596525,10789360,7128440,7128438,10789355,11338010,7534540,4766230,4766226,7534522,255096359,11514038,11514036,14955510,20856760,20826164,14927850,254480436,4226526,4226525,6600761,4135265,2473689,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090216,13308898,9090187,9090186,13308687,9090038,9090036,7656090,4844424,4844423,4486243,4486244,7125637,6848823,6848825,10391388,15067915,254270160,12345318,8340504,8340506,11250055,7467968,6836741,6836737,10375484,13636223,12338403,12338405,10785746,7436869,4699254,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,6838014,10292651,10292652,10377377,10377376,10377670,6838150,4290493,4290492,6838145,10377660,15051568,254709914,268197994 Dl.O(d2) = 70561204,70561203,84097503,97971032,97971034,259255786,139063898,125725332,111908145,111908146,264159379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11026517, s2 = 11464250, dlinesl.size( ) = 8 s1 = 15456940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11000727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000727, s2 = 11391008, int(edited[s2]) = 0 s1 = 11000727, s2 = 11391008, d1 = 11, d2 = 12 Dl.O(d1) = 254929009 Dl.O(d2) = 271575402,261984799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000727, s2 = 11391008, dlinesl.size( ) = 18 s1 = 14005381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527573, s2 = 14149490, int(edited[s2]) = 0 s1 = 11527573, s2 = 14149490, d1 = 25, d2 = 10 Dl.O(d1) = 225438678,227402948,265926545 Dl.O(d2) = 234310287,266552003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527573, s2 = 14149490, dlinesl.size( ) = 26 s1 = 10730312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12042490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11682997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14005700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14005700, s2 = 14005704, int(edited[s2]) = 0 s1 = 14005700, s2 = 14005704, d1 = 33, d2 = 44 Dl.O(d1) = 37322503,28786303,256333749 Dl.O(d2) = 210200442,204940141,273821938,198592943,204940142,210200446,214501585,215527644,264237126,200391174,200391175,206438523,211439596,215527640,218905950,218037197,218037198,221002685,221002686,223538709,221002695,221002694,274324080,221002693,223538710,265502136,221002701,218037206,214501589,210200448,204940143,204940142,264661705,218037196,214501583,214501582,218037194,221002689,218037203,214501587,210200447,204940143,204940142,210200446,264902139,210200445,264112422,191101691,182396894,172442431,161237727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14005700, s2 = 14005704, dlinesl.size( ) = 26 s1 = 14138285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14005746, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14005746, s2 = 14142164, int(edited[s2]) = 0 s1 = 14005746, s2 = 14142164, d1 = 9, d2 = 11 Dl.O(d1) = 217068912,220225018,222897511,225199208,225831799,274223100,265071106,213269566,208626064,273769219,273421183,179302378,188351489,196233231,202975832,208626061,213269564,217068927,220225033,220225034,264847815,274324336,213269547,265071091,220225037,217068928,265071109,222897534,225199223,227199694,225199217,222897527,265071105,217068925,274301527,265623499,222897517,220225021,217068914,265071099,222897515,265623491,274542710,225199209 Dl.O(d2) = 220225033,220225034,264847815,274324336,213269547,265071091,220225037,217068928,265071109,222897534,225199223,227199694,225199217,222897527,265071105,213269562,264847813,265071097,213269553,208626052,202975825,196233227,196233228,264326961,213269557,217068917,213269559,208626055,202975828,196233229,264021591,265071103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14005746, s2 = 14142164, dlinesl.size( ) = 2 s1 = 14005746, s2 = 14142164, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14005746, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10984241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984241, s2 = 11318812, int(edited[s2]) = 0 s1 = 10984241, s2 = 11318812, d1 = 42, d2 = 61 Dl.O(d1) = 2579807,4313792,267880655,267822611,2579634,4313571,6871914,268200795 Dl.O(d2) = 260492079,125949944,125949943,263017874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984241, s2 = 11318812, dlinesl.size( ) = 58 s1 = 10735466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109039, s2 = 11052564, int(edited[s2]) = 0 s1 = 14109039, s2 = 11052564, d1 = 16, d2 = 13 Dl.O(d1) = 257769582,77237664,256110986 Dl.O(d2) = 77237662,64093432,255248098,254641826,18676765,14956060,10289460,10289459,14956057,20857338,28024526,36486776,34001142,34001141,43059511,36507050,28043469,28043470,36507052,28891829,28891830,31346358,31346359,25117232,18566407,13193674,8994309,8994304,10518820,10518819,15247580,21215798,28441374,23833332,23833331,31323932,40001708,41971597,33028491,31820936,24304563,255550510,22560203,16624248,16624253,22848257,30241902,33493010,25717300,19088420,17085234,11997721,11997722,16624235,11595988,11595990,16624240,22848243,30241878,25948052,25948053,22848284,22848285,21044569,15116106,10426568,10426567,15116103,14538960,10003142,10003143,14538964,16346174,16346173,22519580,29876517,37374289,29126250,21819358,18174984,18174983,24628267,27287169,20352019,20352018,27287165,23790546,22532758,22532759,29126253,37688361,47613544,46691307,36807453,36807452,255964556,255134356,32193714,33432369,25663078,19043353,13593866,12544426,8503531,5503927,5503928,8503534,12544433,255477770,15463903,10692590,7064024,7064025,4470951,2686213,1556060,884704,499202,499205,884680,1555994,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557181,11375293,16346518,16346517,21563018,16354062,11380676,7561051,7561052,11380680,16354066,21560207,15539185,10752208,7103642,4472417,2687021,2687022,254504651,7562046,7562047,10753053,10753052,15547534,267888272,17514064,12350405,8344235,8344234,12350402,17514062,23857239,31147417,31147416,29367149,22036451,15934626,15934627,22036454,23654052,17336962,12211080,8241921,8241922,12211083,9928319,6525008,4088310,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490937,7490938,10752055,15546230,21568457,28839899,29362040,22031315,17318704,17318703,23001088,16873993,16873992,22517344,22496427,16322493,11355744,11355743,16322490,22496424,29859836,31121590,31121593,30408263,23003513,16763963,16763962,22503902,16329791,16329790,17093857,17093858,17292423,17292424,16318798,11353393,11353391,16318795,16233985,16233986,22394010,22482409,29848059,36784030,29839423,22892066,16662498,11629137,11629138,16662499,22471381,16331826,16331827,22505685,22479178,22479179,16309513,11347575,11347576,16302324,11343117,11343115,16302318,16562499,22083723,21296969,15329740,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,7104292,4472772,4472768,7104275,10753158,15547692,21570048,22473104,22473106,29840577,22473135,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,16315614,11351397,11351400,16315634,22488404,22019478,15918177,11040278,7314643,4617274,2780302,2780303,4617278,7314655,11040297,15918207,21569264,22019095,21297531,21297529,28518475,29855717,22490869,16317700,16317699,22490867,22474620,16307730,11346470,7539952,4769519,4769518,7539949,11346702,10466366,10466367,15175770,21124094,20303648,14570832,10026546,6589698,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,254347484,7319349,11044501,15330317,15330318,21297729,23717157,254391396,12257335,254394292,22650819,16459433,16459434,21979426,15884325,11011075,7289212,4596595,2765213,2765218,4596615,7289249,254127672,14485710,9966883,6550455,5238341,3197625,3197621,5237972,3197464,3197465,1871654,1871657,3197503,2775341,2775346,4609717,7305296,7554441,7304191,4608685,4608687,7304185,4774289,4774290,7549272,5257777,5257778,7559484,4780124,4780122,267841908,6887608,10447839,11383922,7563202,7563204,254181318,9007664,13214279,18595086,18725342,13330133,13330134,17322339,17322340,23049268,16803710,11750105,7845267,7845266,11750101,254759590,15924810,11047710,11047709,15924807,22025818,17262348,12141982,8171358,5240515,5240513,8171351,12141969,12191833,17259009,16788141,16788143,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877554,4774144,7548955,11362437,13330395,17513064,17512933,17307019,12184058,8215187,5285694,3237975,3237977,5285697,8215204,8249041,8242983,5314879,3264300,3264302,5314857,8242943,11360604,7547760,5295239,3246360,3246361,5295260,8224840,12194568,17319401,23568888,17316153,17316152,12191524,8221987,5292236,5292233,8221999,12191550,17316246,12486968,12486970,11349382,11349384,16312438,16308970,11347256,7540240,4769654,4769655,7540244,11347271,16309003,22480049,29846136,38415737,39785945,31106705,23621568,23621567,18955137,18955136,25565982,33326663,30166123,22776981,22776980,30166121,38749430,48671069,39785982,39785981,39900191,31223441,24006802,17661055,17661054,17336913,12211030,12211029,17336909,22471117,21081017,17317547,12192730,12192728,11371133,11371135,12231241,8258960,8258957,12231230,17360847,17361011,12231324,8259006,254841723,16315602,16315603,16313278,11349945,11349946,16313286,22485205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109039, s2 = 11052564, dlinesl.size( ) = 22 s1 = 14005940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492137, s2 = 15026974, int(edited[s2]) = 0 s1 = 11492137, s2 = 15026974, d1 = 10, d2 = 9 Dl.O(d1) = 264530778 Dl.O(d2) = 232579408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492137, s2 = 15026974, dlinesl.size( ) = 26 s1 = 10739853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14256227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14256227, s2 = 10741831, int(edited[s2]) = 0 s1 = 14256227, s2 = 10741831, d1 = 11, d2 = 7 Dl.O(d1) = 233396217,234481963,235470065,236371841,237196155,237947229,238630691,239256267,239831449,240362960,240855665,241311229,241733231,242123575 Dl.O(d2) = 267146393,267210619,243134642,243134641,242821657,242821656,242821660,242821661,242821667,267111181,241733232,241733231,267111179,242821666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14256227, s2 = 10741831, dlinesl.size( ) = 8 s1 = 11683537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11683537, s2 = 10741895, int(edited[s2]) = 0 s1 = 11683537, s2 = 10741895, d1 = 4, d2 = 1 Dl.O(d1) = 129663651 Dl.O(d2) = 115766897,259528856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11683537, s2 = 10741895, dlinesl.size( ) = 16 s1 = 10742238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063549, s2 = 10742239, int(edited[s2]) = 0 s1 = 11063549, s2 = 10742239, d1 = 13, d2 = 5 Dl.O(d1) = 23365293,17096188,12350030,8343999,5385567,5385569,8188547,12157969,16951195,11863813,11863810,16951186,23224498,29880455,29879646,23857943,23654222,22507985,17337199,16235357,16235358,18725459,16200478,11261650,7476125,7476124,5280602,5280601,8209832,8226009,8226010,12195672,17320520,16335877,11366019,11366018,16335874,15817773,10961847,10961848,12217088,17343530,23607642,22503478,16329286,16329285,12135213,12135212,17255067,12195608,8225950,8225948,12195603,11365813,7837314,7837317,11375111,12217255,17343721,20127138,14435212,14435209,15156203,10452464,10452466,15156177,15156243,21099925,28309934,36806778,29838780,29838702,29838703,38411613,48323208,49848710,60714775,71413485,58679661,58679662,255577112,48325088,48325087,48326813,38425297,29861039,22497998,22497999,29861040,29850403,22485233,16313306,11349958,7541674,4770363,4770362,7541670,11349717,16312947,22484768,16313293,254583918,28287158,255126858,15922537,15922536,22023503,21080932,15142493,10443656,10443654,15142486,15142475,15112309,15112308,10443926,6884933,4321945,4321946,6884922,10443900,15142943,21081519,23586090,17273799,17273796,23008880,23008879,30413589,36783429,36783866,30072614,22692686,16491194,16491193,22508058,25116982,23634113,17318201,17318200,16313251,16313250,22485160,28286836,21080770,21080769,28286822,36783477,37921807,267992842,29850261,31069195,29880135,22524040,21081373,15142771,10443796,10443795,15142763,11367770,11367772,16338331,16357447,16357445,22018250,15916827,15916828,16303392,11343755,7538387,7538389,11343762,14570779,16341284,16341285,16736135,11722496,11722495,7825057,4966584,4966582,7550696,7550693,11365172,11365305,11050779,11050780,15920761,22020825,15919650,15919648,22020820,23586160,17273867,17273865,16357220,11383273,267906154,22529829,254780412,22500261,16326006,16326007,254833862,17272010,16232099,11284647,11284645,15923654,14935546,10271758,10271754,14935499,14935500,16351246,12371402,8359637,5395758,3317958,1951944,1951943,3317954,5395749,8359623,7264392,4581175,2756185,2756184,4581170,7264381,10975282,11693368,11468235,11468234,16459283,16459539,16330598,11361653,7548444,4773878,4773874,7548438,11361641,16330576,16332231,16332232,22506091,17276323,15914233,11035651,7310222,7310223,7552929,7552930,11368825,16339638,21093822,23584307,17271877,254181572,17263294,12142818,12142817,17054267,17054266,17289515,12168552,8200423,8200424,254392204,254392206,21098890,15155459,10452004,10452003,15155457,21098888,28308793,22501521,22390363,16697197,16697198,22931836,23049697,16804103,11750435,11750077,7845252,4980064,4980059,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,3902016,3902018,6232363,6232313,6232310,9501827,13850941,15155063,257415125,263479433 Dl.O(d2) = 211210342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063549, s2 = 10742239, dlinesl.size( ) = 16 s1 = 11683587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11683587, s2 = 14218913, int(edited[s2]) = 0 s1 = 11683587, s2 = 14218913, d1 = 1, d2 = 8 Dl.O(d1) = 211246760 Dl.O(d2) = 265022102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11683587, s2 = 14218913, dlinesl.size( ) = 2 s1 = 11683587, s2 = 14218913, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11683587, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11148277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11477601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10749579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10749579, s2 = 10749591, int(edited[s2]) = 0 s1 = 10749579, s2 = 10749591, d1 = 6, d2 = 15 Dl.O(d1) = 120148542 Dl.O(d2) = 260287919,105936577,91729315,91729314,105936581,120148540,120148536,259672309,77801804,77801805,91729304,105936574,105936588,260287919,105936577,91729315,77801812,259045343,91729307,77801806,64619379,52719181,42332011,42332012,52719182,64619382,77801809,91729310,105936579,105936588,260287919,105936577,91729315,77801812,259045343,91729307,77801806,64619379,52719181,42332011,42332012,52719182,64619382,77801810,255853646,33556007,25766478,19126834,15650705,10832752,7160858,4510102,2710119,2710118,4510103,267966879,15650706,21690428,256346631,37516193,257468556,37516190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10749579, s2 = 10749591, dlinesl.size( ) = 2 s1 = 10749579, s2 = 10749591, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10749579, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 14006558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14103595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14103595, s2 = 11220916, int(edited[s2]) = 0 s1 = 14103595, s2 = 11220916, d1 = 3, d2 = 14 Dl.O(d1) = 116763999 Dl.O(d2) = 259483860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14103595, s2 = 11220916, dlinesl.size( ) = 26 s1 = 11564707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564707, s2 = 11428118, int(edited[s2]) = 0 s1 = 11564707, s2 = 11428118, d1 = 16, d2 = 26 Dl.O(d1) = 265970126,274399710,224037537 Dl.O(d2) = 264713854,192746789,263075997 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564707, s2 = 11428118, dlinesl.size( ) = 16 s1 = 10752505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10994981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994981, s2 = 15272083, int(edited[s2]) = 0 s1 = 10994981, s2 = 15272083, d1 = 7, d2 = 21 Dl.O(d1) = 254731635,15386513,256859219 Dl.O(d2) = 60531004,73275519,257593774,74281697,255967640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994981, s2 = 15272083, dlinesl.size( ) = 14 s1 = 11311971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311971, s2 = 11044684, int(edited[s2]) = 0 s1 = 11311971, s2 = 11044684, d1 = 14, d2 = 19 Dl.O(d1) = 261614956,39509183,258261692,19644434,14226602,14226601,19857494,26674671,34667858,43942014,257889181 Dl.O(d2) = 105496778,91274525,257139602,256076700,33073508,33073507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311971, s2 = 11044684, dlinesl.size( ) = 22 s1 = 14144067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144067, s2 = 14105650, int(edited[s2]) = 0 s1 = 14144067, s2 = 14105650, d1 = 10, d2 = 8 Dl.O(d1) = 274176288,169425530,169425531,179659762,188668486 Dl.O(d2) = 263057478,169425530,158010439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144067, s2 = 14105650, dlinesl.size( ) = 12 s1 = 10756180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10756180, s2 = 11077542, int(edited[s2]) = 0 s1 = 10756180, s2 = 11077542, d1 = 64, d2 = 32 Dl.O(d1) = 172413232,182370637,262591538,182370645 Dl.O(d2) = 198572586,191077920,182370642,172413236,161205051,148890096,135641841,259182732,92912510,78806387,256766218 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14046977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14006868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11684477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240825, s2 = 10758922, int(edited[s2]) = 0 s1 = 11240825, s2 = 10758922, d1 = 16, d2 = 8 Dl.O(d1) = 260282362,113045933,113045934,113045935 Dl.O(d2) = 261444496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240825, s2 = 10758922, dlinesl.size( ) = 22 s1 = 14147241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14088839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14007059, s2 = 14088840, int(edited[s2]) = 0 s1 = 14007059, s2 = 14088840, d1 = 11, d2 = 12 Dl.O(d1) = 60849550,73599115,87221155,101222002,259354869,71941752,71941751,259354867,99476245,85529707,85529706,99476244,99476237 Dl.O(d2) = 71941747,71941748,59202637,47803115,37879453,29310580,29310579,37879451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14007059, s2 = 14088840, dlinesl.size( ) = 10 s1 = 10760764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10760764, s2 = 14029766, int(edited[s2]) = 0 s1 = 10760764, s2 = 14029766, d1 = 15, d2 = 26 Dl.O(d1) = 259657479 Dl.O(d2) = 261557605,123656624,109464140,95209567,81152469,67686686,67686687,55346979,44500640,256222771,27035632,35122807,257913571,78038696,64841586,52916874,52916873,64841584,77886179,64696425,52781860,42382582,33393935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10760764, s2 = 14029766, dlinesl.size( ) = 24 s1 = 14029765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14029765, s2 = 10760765, int(edited[s2]) = 0 s1 = 14029765, s2 = 10760765, d1 = 23, d2 = 12 Dl.O(d1) = 13933683,19469046,26169985,34011879,43069711,47059988,37168350,37168351,47059990,58435179,257913570,101941977,87969473,256222770,115986292,129883700,139716337,143213278,155765286,167397571,173636824,162610836,261557604,262091773 Dl.O(d2) = 259657478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14029765, s2 = 10760765, dlinesl.size( ) = 38 s1 = 14007153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440309, s2 = 6608824, int(edited[s2]) = 0 s1 = 11440309, s2 = 6608824, d1 = 17, d2 = 9 Dl.O(d1) = 262795699,261814339 Dl.O(d2) = 256499599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440309, s2 = 6608824, dlinesl.size( ) = 14 s1 = 14123936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11297401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297401, s2 = 14143042, int(edited[s2]) = 0 s1 = 11297401, s2 = 14143042, d1 = 4, d2 = 3 Dl.O(d1) = 123672539,137403670,272236142,183395071,183395066,262290658,263197996,262765556,263587878,214917430 Dl.O(d2) = 264534260,263938906,273143644,183395068,173601219,162571336,261232506,173601218,173601217,262765554,263938904,274002122,265223050,229486949,228543789,265881429,231539110,266374450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297401, s2 = 14143042, dlinesl.size( ) = 2 s1 = 11297401, s2 = 14143042, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11297401, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11056053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056053, s2 = 11217076, int(edited[s2]) = 0 s1 = 11056053, s2 = 11217076, d1 = 51, d2 = 56 Dl.O(d1) = 254911224,7109039,7109040,10263877,6744441,6744447,10044630,6600871,6600867,10044545,10044546,14597738,15596319,10789223,7128360,7128359,10784333,10784331,10346545,6812108,6812110,10346547,254824622 Dl.O(d2) = 269373422,271287843,79380949,270859612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056053, s2 = 11217076, dlinesl.size( ) = 54 s1 = 10771527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11507977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507977, s2 = 11427438, int(edited[s2]) = 0 s1 = 11507977, s2 = 11427438, d1 = 19, d2 = 0 Dl.O(d1) = 274028593 Dl.O(d2) = 188302859,262879483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507977, s2 = 11427438, dlinesl.size( ) = 18 s1 = 14168123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168123, s2 = 10775648, int(edited[s2]) = 0 s1 = 14168123, s2 = 10775648, d1 = 0, d2 = 32 Dl.O(d1) = 149518057,161822806 Dl.O(d2) = 265126897,223645080,225821738,227719929,265501917,221132912,218197876,218197874,274338750 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14007806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14007801, s2 = 14007805, int(edited[s2]) = 0 s1 = 14007801, s2 = 14007805, d1 = 11, d2 = 15 Dl.O(d1) = 128671153,142032900,154675879,166391610,176536981,175193838,164406435,152544261,150468454,137431082,126456141,261100709,152544271,141451536,261747077,154675876,165883140,154116770,154116771,141451518,272222153,114200180,100169682,100169683,114200185,100722387,86746336,86746337,100722390,114194252,100164041,86201796,86201798,84671308,71108097,71108099,84671310,98594616,112588015,126456150,139828219,141451527,260622863,114200200,272222155,152544253,260937118,112587991,112587992,126456130,139828202,262171213,154116775,141446007,141446006,154116774,152544253,260937118,112587991,112587992,126456130,139828202,262171213,262736771,165883188,165883189,176536981,175193838,164406435,152544261,150468454,150468452,162594118,261747079,261747077 Dl.O(d2) = 114194299,128080837,141446009,128671146,261231549,261747075,152544254,262171211,175193835,175193844,165133179,153322164,272781728,85495087,71910062,259168026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14007801, s2 = 14007805, dlinesl.size( ) = 2 s1 = 14007801, s2 = 14007805, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14007801, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 11258413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258413, s2 = 11620128, int(edited[s2]) = 0 s1 = 11258413, s2 = 11620128, d1 = 28, d2 = 12 Dl.O(d1) = 264013173,265453213 Dl.O(d2) = 234190310,266267797,233070868,267136721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258413, s2 = 11620128, dlinesl.size( ) = 34 s1 = 10777930, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10777930, s2 = 11652538, int(edited[s2]) = 0 s1 = 10777930, s2 = 11652538, d1 = 34, d2 = 39 Dl.O(d1) = 263461465,199698391,263824308,263824313,263461466,174274367,174274366 Dl.O(d2) = 273689545,274260401 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 12043610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14008020, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556853, s2 = 10781868, int(edited[s2]) = 0 s1 = 11556853, s2 = 10781868, d1 = 15, d2 = 27 Dl.O(d1) = 266015964 Dl.O(d2) = 237039858,236204760,235288616,234283162,234283163,266347770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556853, s2 = 10781868, dlinesl.size( ) = 28 s1 = 14844475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844475, s2 = 14259827, int(edited[s2]) = 0 s1 = 14844475, s2 = 14259827, d1 = 14, d2 = 17 Dl.O(d1) = 261345734,259563994,90154313,258312630,76333587,90154312,104297174 Dl.O(d2) = 254883526,13051961,18377651,24875378,256058900,254883524,8891494,5800229,254425440,13051961,255212100,32517989,41365613,32517982,24875363,24875364,24875381,254883528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844475, s2 = 14259827, dlinesl.size( ) = 2 s1 = 14844475, s2 = 14259827, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14844475, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 11113111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11685867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11685867, s2 = 11508478, int(edited[s2]) = 0 s1 = 11685867, s2 = 11508478, d1 = 23, d2 = 12 Dl.O(d1) = 172601607,273275217 Dl.O(d2) = 264104107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11685867, s2 = 11508478, dlinesl.size( ) = 28 s1 = 14037805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14037805, s2 = 11510920, int(edited[s2]) = 0 s1 = 14037805, s2 = 11510920, d1 = 36, d2 = 49 Dl.O(d1) = 259454315 Dl.O(d2) = 274449454,227494091,225540207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14037805, s2 = 11510920, dlinesl.size( ) = 30 s1 = 11325327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325327, s2 = 11475500, int(edited[s2]) = 0 s1 = 11325327, s2 = 11475500, d1 = 17, d2 = 3 Dl.O(d1) = 263040805 Dl.O(d2) = 209855214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325327, s2 = 11475500, dlinesl.size( ) = 24 s1 = 11006329, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12043910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12043910, s2 = 11410342, int(edited[s2]) = 0 s1 = 12043910, s2 = 11410342, d1 = 5, d2 = 9 Dl.O(d1) = 27066733,35152405,44528656,257210695,42324289,33343360,25583806,18975633,255673507,256654585 Dl.O(d2) = 77794451,91722420,105930119,120142233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12043910, s2 = 11410342, dlinesl.size( ) = 2 s1 = 12043910, s2 = 11410342, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12043910, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11582039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057521, s2 = 4416252, int(edited[s2]) = 0 s1 = 11057521, s2 = 4416252, d1 = 13, d2 = 0 Dl.O(d1) = 270995786,127228021 Dl.O(d2) = 173673385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057521, s2 = 4416252, dlinesl.size( ) = 16 s1 = 10794459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15218124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15218124, s2 = 11380370, int(edited[s2]) = 0 s1 = 15218124, s2 = 11380370, d1 = 18, d2 = 20 Dl.O(d1) = 257476055,71631455,85196190,99118390,260554417,113108613,113108612,126967160,140322512,140322516,126967165,113108617,113108616 Dl.O(d2) = 262198751,140322519,262198749,175617351,185154269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15218124, s2 = 11380370, dlinesl.size( ) = 2 s1 = 15218124, s2 = 11380370, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15218124, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 10795867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14058022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058022, s2 = 10795868, int(edited[s2]) = 0 s1 = 14058022, s2 = 10795868, d1 = 26, d2 = 25 Dl.O(d1) = 60541974,49142074,47644950,37722913,29163010,29163009,37722911,39005331,33288625,33288624,39213374,42268894,42268893,49141957,39215443,30618494,23197343,23197342,26654282,256469546,255968398,16928942,23197334,30618478,39215421,47662969,59063108,71788162,59046556,59046555,48241799,38331517,29761082,29761081,38331511,48241791,255522532,38331525,48241810,255522642,32985162,41925503,39005244,30415912,23010794,16771194,11725255,7827736,4968652,4968653,7827743,11725272,16771220,23010838,30415963,39005325,35040408,26960561,26960560,35040400,35040482,26960624,20076904,20076906,26960631,35040495,44414712,44795395,44795396,47276763,37366762,32082693,32082691,40854743,40858845,40391541,40391540,40391520,31698687,31698686,39005297,39005266,39005267,33273277,28242439,21043531,21043532,21059954,21060062,15127442,15127441,21060059,28261934,36757067,40790313,32033315,32033316,40790315,50907105,40790304,255996564,255474727,11328492,254534701,2868172,1664638,1664639,2868174,4758562,7525017,5102125,3097017,3097016,3107765,5116540,5118466,8024056,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1036945,584129,326412,180179,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591190,1051101,1841814,1841816,1816567,1816570,1848447,3157911,5107008,5111738,8022814,8019473,5108108,3101378,254381119,254571169,5157822,3141328,1837120,1048368,1048373,1837133,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314636,561873,590138,1048999,1838164,1054513,1054489,1054491,1053706,1053703,592488,592487,1053732,1846526,3155366,5135068,5155701,5172622,7521889,4755994,2866478,1663699,1663697,2866470,4755983,5128107,3116808,3116810,254568715,8019268,8019266,11973800,17064826,23331474,22966857,17064509,11973358,8018573,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068 Dl.O(d2) = 16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280957,5280953,6232525,6232522,9502138,9502135,13851379,16230824,11283422,11283421,8076116,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,11737895,16787368,16787367,16787434,21295384,28516491,30437746,29860358,22497138,16323103,11356155,11356156,16323106,22492706,16319340,16319339,22492705,29857025,38423159,38416437,29847217,22481423,22481421,29847214,29860826,22497705,16323592,16323591,268081168,38414940,29856469,22491975,16318682,11353315,7543527,7543528,4859920,4859921,5179077,5179080,8083077,12022845,15978014,15978017,11544897,11544898,16562571,267905164,11353507,7543649,7543650,11353510,16318970,22492332,29200298,21887864,21887865,29200300,254164274,17276557,267789328,15327815,10586670,10586669,11348923,11348925,16311684,16311727,21297363,16344573,16344574,11397314,7572880,7431418,4695972,2829403,2829405,4388659,4388663,6984417,7539419,11345721,10588329,10588334,15330701,11343796,7538407,7538409,11343784,16303444,22473134,16310823,16310824,15918385,11040395,11040394,15918380,22019773,22527268,22488379,21297393,16315644,16315642,22488409,29846992,22491186,16317941,16317940,22476584,16562005,11544526,7680516,4859777,4859776,254577076,15994874,15994873,22106065,254761124,11692918,7798513,4945388,4945387,7798508,11692903,16736308,22972521,17324667,254760430,30023416,22650391,16458965,11467982,11467981,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,5252813,8183084,12152732,17273519,23585712,22525124,16352161,16352164,22525125,23633260,17317268,17317267,23633258,29354289,22023268,15922301,11045345,11045344,15922300,255443594,23596872,23596871,255069414,21566779,28838392,31119807,23633257,17317265,12192424,12192425,11730284,11730283,11356915,11356913,254271668,29861344,29356043,255069858,254520840,11037869,7312263,4615501,2779281,2779278,4615493,7312253,11037857,254186400,23649363,254586104,10750711,7102735,4471910,4471909,7102733,10750707,15544540,21566783,16409181,16409180,22592021,29956348,29873014,29873015,33026078,33026077,41968913,37921569,37921568,35187333,254186408,14493375,267755246,254134082,14493373,20198946,15468705,10696105,7066309,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813928,27977411,255782401,14918167,14918168,268370327,256805839,57634099,257790298,62150031,57633992,57633991,58651158,57633998,46289433,39407607,30802986,30802987,23574943,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859785,25459576,32040426,24476303,24476302,256502746,32040459,24476328,23314736,17051438,17051440,23313304,17051378,17051375,23314648,30733716,39330586,30732269,23313445,17050589,11961467,11961469,17050593,23313453,23315043,23314917,17051578,11962009,11962008,17051576,23314912,30733989,30734027,30734028,39332061,49257674,256478665,23314444,17051248,11961807,8007331,8007330,11961803,8007642,8007594,8007595,8007678,5097707,5097709,8007684,11962477,17052321,255888067,22142547,23315822,23315753,23315754,29769230,256949683,29678285,29678288,22327289,22327288,21082715,15143727,10444385,10444387,15143732,21082730,22143780,29481586,38044747,38043871,38043873,37909647,35221215,29340641,29340642,23249718,18861649,13438548,9187748,9187747,13438545,18861640,25461908,33209815,29480905,22143217,16025123,11126572,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,25589152,18980172,13543789,13543790,15907676,15907675,22009093,16025017,16025018,22143069,18856340,13434916,13434917,18856343,23658660,17341888,12215518,12215520,12142143,12142142,17262528,20188512,18724752,18724753,22523363,22523362,22502754,22502755,22395097,16329976,16329978,22395129,22395130,29755722,22395119,16235217,11287318,7494166,4737346,2855172,2855174,4737351,7494178,7548993,4774161,2877588,2877587,4774217,7549120,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,12218806,17345456,23636361,23636362,254584266,29858321,23636594,17320971,12196072,8226300,8226299,12196069,17096011,12009313,12009314,17096012,23365112,23658150,23658149,23005408,254836410,12014627,17100375,23049661,22083391,22083390,21080519,15142234,15142236,16305263,11345320,11345322,7540161,4769621,4769624,7540170,11347127,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044405,15921660,16338250,22512121,22972549,254391480,17284655,17284659,23596869,29956567,22592212,22592213,23632382,23632381,29875896,29875897,28832021,254265838,16350215,11377570,7558889,4779758,4779762,4088430,2445900,1414192,1414191,2445874,2445876,4088376,6525116,9928504,14433535,12169140,8201101,7555400,4777669,4777670,7555403,11372726,16344643,22502543,16328264,12213226,8243690,8243689,12213225,17339414,23656236,31143379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058022, s2 = 10795868, dlinesl.size( ) = 8 s1 = 11038385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038385, s2 = 11110798, int(edited[s2]) = 0 s1 = 11038385, s2 = 11110798, d1 = 0, d2 = 80 Dl.O(d1) = 22699177,30080710,38657827 Dl.O(d2) = 184796053,262176188,260528106,269314202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038385, s2 = 11110798, dlinesl.size( ) = 90 s1 = 11501813, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501813, s2 = 11587872, int(edited[s2]) = 0 s1 = 11501813, s2 = 11587872, d1 = 13, d2 = 11 Dl.O(d1) = 264865490,265286946 Dl.O(d2) = 266843037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501813, s2 = 11587872, dlinesl.size( ) = 14 s1 = 10798527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11217529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217529, s2 = 11158380, int(edited[s2]) = 0 s1 = 11217529, s2 = 11158380, d1 = 21, d2 = 23 Dl.O(d1) = 72924229,259427535 Dl.O(d2) = 128378890,259543554,258295896 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217529, s2 = 11158380, dlinesl.size( ) = 28 s1 = 11482385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482385, s2 = 11383564, int(edited[s2]) = 0 s1 = 11482385, s2 = 11383564, d1 = 15, d2 = 3 Dl.O(d1) = 207321186 Dl.O(d2) = 186209890 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482385, s2 = 11383564, dlinesl.size( ) = 16 s1 = 10803983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14108446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11488477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488477, s2 = 12727187, int(edited[s2]) = 0 s1 = 11488477, s2 = 12727187, d1 = 18, d2 = 20 Dl.O(d1) = 263844008,191437143 Dl.O(d2) = 210404975,205186011,198882021,264110719,198882023,191437149,182785268,172887116,161729605,261082666,271296898,259282180,79268960,65906902,53840306,43316443,34218846,255716035,14057012,14057016,19616261,26345184,29557612,22212408,16081201,16081203,21971902,29298615,28068286 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10813281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14050291, s2 = 11025874, int(edited[s2]) = 0 s1 = 14050291, s2 = 11025874, d1 = 7, d2 = 16 Dl.O(d1) = 255076796,15926305,14404014,9907163,6511453,4080388,4080389,254689285,4080370,4080369,6511420,9907114,14403939,20090476,25878049,19218684,14403669,13727918,13727917,9907286,9907285,14404163,14403763,9906985,254350528,2441558,2441556,4080315,6511324,9906968,14403681,9907262,9907263,14404115,14403736,9907005,6511346,4080326,2441562,2441563,4080331,6511353,9907016,14403800,20090312,19218691,14404049,9907189,9907187,14403977,9907142,6511439,4080381,2441586,1411891,803315,455192,256524,256525,455195,803325,1411905,2441609,4080418,2441618,2441617,4080442,6511536,6414474,4024208,2411499,2411500,4024210,4080308,4080294,4080293,6511284,6414454,4024198,4024199,4582941,2757316,1598463,1598462,2757314,4582937,6511508,4080427,4080429,6511512,254096854,20090687,254221010,41655341,49146463,60545831,60545826,51962493,41654957,41654958,46612684,46612683,51962509,41654972,268251868,18516751,18516750,25054144,32744872,39218466,39218465,41655143,40215351,40215352,41655168,32745069,25054271,256101237,41655232,41655222,32745052,32745053,32745142,39219991,38848928,38848927,41655308,32745123,25054299,18516835,13156325,13156326,18516837,25054302,32745129,39220016,39220014,49146459,51962800,59265090,48459289,48459290,59849979,48459291,269350507,41654951,32744862,25054137,18516746,13156279,13156280,18516747,25054138,30324312,30324311,38911292,30621118,23199460,23199458,30621115,39218247,47869456,37951426,37951427,47869458,58699392,71432074,61714873,61714874,73293094,72194363,71432076,71432077,85005890,98931980,255116520,47840372,47840371,254797664,39770528,31092359,23608799,17296386,12174976 Dl.O(d2) = 22792964,22792965,22793025,22793023,30182378,22792945,16576641,11557514,7691031,4866995,2932755,2932756,4866996,7691033,11557517,16576647,22792956,30182391,28929024,28929026,30182351,30182331,22792916,22792915,22606495,22606494,29971562,38537668,37470008,28928954,21652006,15617799,15617798,21652002,28928943,28925414,21649509,15616096,10804777,10804776,15616095,21649506,28925402,37465235,39818916,39818917,49842327,58700023,47376828,43189320,34103624,34103623,43189314,53701086,58756868,71485875,71494026,85066596,85815593,85066592,71494017,258243952,48687413,48687412,268436300,85057453,71485879,71485878,75812448,75812449,64625532,52725387,52725388,62848894,62848893,75812563,75812565,62848897,62848898,75812476,75812501,62848811,58764189,58764188,71485848,85057436,75443337,75443338,71799169,71799168,85057507,75812541,62848853,62848854,71433655,71433656,85007137,89594883,75812460,75812459,89594881,75812537,62848848,62848847,72820889,86415862,75812227,62848463,51199065,47370744,42338335,33357124,25596463,25596462,255664088,32833042,32833040,41753918,51199308,41043365,41043364,41043403,269035537,73413403,258834799,76455469,76455470,90285337,104436268,93236368,256091822,65763784,268243570,255975104,74550251,257670776,24072574,24072575,31578242,40265304,50286480,61766331,74550254,84671853,84671855,98595046,98595063,98595064,87708237,76360670,63329322,51605776,256090686,18386774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14050291, s2 = 11025874, dlinesl.size( ) = 2 s1 = 14050291, s2 = 11025874, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14050291, Dl.E( ) = 20, 1.5e-05 seconds used appending s1 = 14009684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133493, s2 = 15143869, int(edited[s2]) = 0 s1 = 14133493, s2 = 15143869, d1 = 0, d2 = 24 Dl.O(d1) = 212447574,216387492,219654795 Dl.O(d2) = 226838742,265339548,224782965,224782966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133493, s2 = 15143869, dlinesl.size( ) = 20 s1 = 11255233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255233, s2 = 11184868, int(edited[s2]) = 0 s1 = 11255233, s2 = 11184868, d1 = 4, d2 = 8 Dl.O(d1) = 260564080 Dl.O(d2) = 257606667,73445315,87062724,73445310,60697428,60697429,73445312,260077967,259963814,73445317,60697431,49296013,39368560,30766940,30766941,36815229,46698103,58070347,49296156,39370402,39369139,30767776,30767777,24139673,24139669,19776345,14165161,9738426,6403832,4017800,2407597,1393107,792213,792212,1393073,1393069,2407517,4017672,6403565,9737893,14164054,14164053,19774696,17079351,17079350,23346109,19774173,14163769,10317939,10317938,11991468,8043572,8043571,11991462,17078473,19781329,14168832,14168831,19781327,254778506,30766270,30766271,37381708,43835830,39370085,30769102,30769101,23347041,17080155,11992491,11992490,17080153,23346128,23346127,23346776,17079929,11992338,8044076,5134245,3121561,1824471,1824472,3121546,5134216,4017863,3121525,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576018,34562897,34562865,26575979,255311881,9737507,9737506,9738621,14165491,254531232,254531230,54583016,48016357,38106098,29542832,22199559,16070503,16070508,17174591,17174589,23451256,23347265,17080285,17080286,17440339,23768311,31252503,39371057,39371058,37848375,29280619,28596787,21364040,21364039,21042832,21042830,28241636,31802959,26415811,21568089,15545901,10751796,10751795,15545897,21568082,28839572,30581970,23164280,16901793,16901744,11828016,7904520,7904519,11827973,16901667,22036519,22036520,22063658,15959125,11076114,7344689,7344688,11076500,15959511,11080982,11080981,11072464,7341876,7341875,11072461,14343772,20026217,22065936,15962623,15962622,22044781,22044782,15964559,15943299,15943298,15935346,15935345,15964586,11080478,7347421,7347423,11080482,254762755,4635188,2792192,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920903,1619103,2790928,4632922,7334071,11060890,15939874,22042688,29373596,22058651,15954425,11072237,11072239,15954430,22038705,15936411,11058440,7332615,7332616,11058442,15936491,22038822,29369579,37924822,257501475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255233, s2 = 11184868, dlinesl.size( ) = 2 s1 = 11255233, s2 = 11184868, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11255233, Dl.E( ) = 14, 7.87e-06 seconds used appending s1 = 11510789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510789, s2 = 11139460, int(edited[s2]) = 0 s1 = 11510789, s2 = 11139460, d1 = 43, d2 = 0 Dl.O(d1) = 273317150,272817456,260477726 Dl.O(d2) = 54707950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510789, s2 = 11139460, dlinesl.size( ) = 50 s1 = 10819361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14009814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10820288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10820288, s2 = 10345795, int(edited[s2]) = 0 s1 = 10820288, s2 = 10345795, d1 = 69, d2 = 88 Dl.O(d1) = 256547860,268996298,256017780 Dl.O(d2) = 257415229,44759643,35331828,269652013,257825592,40491336,48248426,256407087,22404090,16241872,11291817,11291818,16241874,22404097,29766854,38337863,48248444,59635530,48248440,48248441,40260949,31573936,24068433,255192110,8490845,254275418,8492104,11234420,254136938,22312716,29664792,38231057,31678408,24170269,254138164,8552045,5549801,3434952,3434951,5549798,8500770,12539496,17723792,19700446,14125362,9717957,6393017,4011981,2404445,1391396,791253,448118,448121,791264,1391425,2404493,4012068,6393186,9718243,14125785,254107704,17784232,17784231,22183814,16056981,11149009,7394706,7394707,7394881,4671689,4671687,7394904,11149297,16057392,22184273,29526496,38090031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10820288, s2 = 10345795, dlinesl.size( ) = 22 s1 = 10821500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10821500, s2 = 10821497, int(edited[s2]) = 0 s1 = 10821500, s2 = 10821497, d1 = 15, d2 = 46 Dl.O(d1) = 255801857 Dl.O(d2) = 101170086,102324635,102324634,116417232,129177492,115247075,101170047,87172732,73554956,73554957,87172733,258642972,257408290,84246188,256828892,57976210,70691333,259033606,257791418,46594896,44556967,35179062,35179063,44556733,35178925,27090523,20192030,14487895,14487894,20191947,20191948,27090385,35178712,44556414,55403331,67742529,68112308,55715955,55715956,68112295,257332997,256239575,27259931,35385172,257332999,269653085,44809592,256239579,14586930,14586931,20325858,256239583,44809595,55715976,258554313,81601142,95634199,95263395,81207399,257201046,55403304,67742497,81207397,74022299,61241806,49762898,256500105,31066317,39744375,44809568,269205183,259182799,77602942,91533561,81206866,81206865,259033414,70689406,57971564,57971565,70689409,77598905,64430059,52555575,42196595,33236255,33236256,42196598,52555578,64430072,77598915,258406544,67743047,81207999,95263986,87590757,87590758,101553406,259438050,258190650,74022290,87626341,101593616,109516718,95262820,81206804,67741974,55402883,55402884,67741976,59338925,47947337,38033650,29470872,22134946,22134947,29470874,38033653,47947340,59338929,72073186,73079781,258811979,258813554,64433503,77602427,91532729,257791508,67744239,259364175,72073179,258188705,48942801,39019726,30430367,30430366,39019723,39423987,30819032,30819031,39423985,48277093,59664888,48277186,38365646,29792914,22426954,16260276,11305062,11305061,16260271,22426949,29792904,38365629,48277161,59664962,257531585,48277167,258140885,257011102,257011104,85878182,72286284,59552148,48165487,38256089,29690756,29690758,38256094,48165495,59552157,72285924,72285925,259380613,112098884,125932171,116566140,102467165,88463456,74830051,72285920,72285921,258764561,48277067,48277068,38365596,38365598,38365645,29792914,22426954,16260276,11305062,11305061,16260271,22426947,29792898,38365624,257531581,257907622,59551935,72286013,72285848,59551768,48165176,38255884,38255883,48165175,59551766,257408601,28218365,28218367,36710901,256645606,44556434,257201060,81207460,257201168,44557112,55404201,44557362,256645700,67744115,81209204,95265273,91533509,77602862,77602863,91533510,101939200,98134696,95265086,95265085,271660829,119989898,261440744,139277395,139277482,125928120,125928119,129881026,260277478,98136001,98136002,95634309,259808987,109518379,95264620,85997030,72400586,72400587,85997031,99955722,113978510,101184540,87187223,73568641,258176732,49422597,60823247,71091171,71091165,71091162,73570840,84653559,98576564,101187361,87189945,74137076,61355723,61355722,74137072,87742560,101716783,115762949,115262710,101186936,87189564,259470895,102391331,88390919,257430984,61957258,74757142,258406580,46593617,46593616,57970009,256645560,44555988,55402747,270661889,98464453,98464451,112454545,112454543,98464450,84542400,70979057,59050408,59050409,70687609,57969841,46593500,46593501,57969843,59050411,47649227,37727417,37727418,29894880,29894879,38451974,35178381,35178382,44555986,55402743,67741812,81206620,85380471,71791635,59050380,47649203,47649202,59050379,71791633,84468570,86070691,72472491,59737316,48353851,38451979,38451980,48353853,59737319,72472493,86070689,72472486,59737313,48353848,48353846,59737309,258651092,84542117,84542119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10821500, s2 = 10821497, dlinesl.size( ) = 16 s1 = 10821498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10821498, s2 = 10821499, int(edited[s2]) = 0 s1 = 10821498, s2 = 10821499, d1 = 45, d2 = 5 Dl.O(d1) = 70978805,70798754,258651093,58263128,58081783,58081785,70798545,84357143,84542111,70978804,58263100,46896261,37017726,28519710,28519709,37017725,46896259,58263097,46896266,37017729,28519713,21298814,21298815,28519714,37017731,46896274,38458414,38458413,42178860,33219999,25473054,25473053,33219997,28519771,21298850,15331179,15331178,21298848,28519769,37017828,28519775,28519774,37017835,37017822,28519767,28519766,37017820,46896431,58263330,70979066,84542113,70978808,70978810,270661888,42178864,33220001,256645561,46834075,58200099,52538412,258406581 Dl.O(d2) = 47983786,255801856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10821498, s2 = 10821499, dlinesl.size( ) = 16 s1 = 10825087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10825087, s2 = 6707746, int(edited[s2]) = 0 s1 = 10825087, s2 = 6707746, d1 = 42, d2 = 68 Dl.O(d1) = 25931002,25931419,255287949,13773435,19268680 Dl.O(d2) = 100430747,86473561,86473562,86473565,86473470,257567980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10825087, s2 = 6707746, dlinesl.size( ) = 2 s1 = 10825087, s2 = 6707746, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10825087, Dl.E( ) = 74, 2.81e-05 seconds used appending s1 = 13939080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13939080, s2 = 11629158, int(edited[s2]) = 0 s1 = 13939080, s2 = 11629158, d1 = 22, d2 = 14 Dl.O(d1) = 243813132,244058364 Dl.O(d2) = 244695142,244497786,244497785,274989961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13939080, s2 = 11629158, dlinesl.size( ) = 36 s1 = 14010441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14010452, s2 = 10831977, int(edited[s2]) = 0 s1 = 14010452, s2 = 10831977, d1 = 0, d2 = 0 Dl.O(d1) = 170587467,159251736,146880302,133626726,119756577,105522811,91304790,77386139,77386140,259649083,105522813,119756578,133626727,146880303,159251738,170587468,180717106,189613416,197300489,203857411,262647846,261643998,260513644,139702742,139702744,260513642,272177757,84549375,70986377,256853344,98471306,270287242,268610912,46906820,37029561,37029560,37031041,37892698,29416128,23761232,23761231,30557832,30557831,37030571,28532469,21309783,21309784,15339876,267962417,4392342,2631792,2631795,4392346,6989728,10595266,15339884,255078869,7401444,4675644,2816792,1634140,1634139,2816790,4675642,7401440,11158890,10595404,6989827,6989664,4392301,2631767,1519663,1519662,2631765,1519690,861658,486354,486355,861662,1519695,2631833,4391910,2631532,2631531,4391909,6989023,10594274,15338706,21308594,15339811,10595174,254497893,2631771,4391949,254729229,254729267,6990523,6990522,10596280,10594296,6990413,4392770,2632050,2632049,4392055,2631621,2631620,4392050,4392756,2632040,1519810,1519811,2632044,4392764,6989307,10594678,15339234,21309118,15340877,15340260,10710809,10710808,15488866,255839863,21495140,255839861,37288399,37029906,28531733,24068716,17712787,12529786,12529788,12529794,12529795,17712797,15709900,15709897,21766823,29062691,37611974,268660706,257017495,30664700,23248725,16984810,11899166,7957539,7957538,11899164,13516549,13516550,18953201,25564447,33325435,42305999,52692810,64593296,77775966,91703356,105910376,120122098,133963820,147185903,159544659,170872231,180991689,263726407,204043249,209482130,213944808,217607966,220664839,223264926,225513377,227469820,229181041,230692928,232039725,230718639,229208690,227500571,225547151,223301729,220704037,217651456,213993791,209538374,264368334,197599081,189955914,181091945,170986628,159671534,147323455,134111417,120279900,106078632,259678743,77957780,77957781,91882954,258424659,52842193,257217289,33444584,25674007,19052547,13601036 Dl.O(d2) = 170587467,159251736,146880302,133626726,119756577,105522811,91304790,77386139,77386140,259649083,105522813,119756578,133626727,146880303,159251738,170587468,180717106,189613416,197300489,203857411,262647846,261643998,260513644,139702742,139702744,260513642,272177757,84549375,70986377,256853344,98471306,270287242,268610912,46906820,37029561,37029560,37031041,37892698,29416128,23761232,23761231,30557832,30557831,37030571,28532469,21309783,21309784,15339876,267962417,4392342,2631792,2631795,4392346,6989728,10595266,15339884,255078869,7401444,4675644,2816792,1634140,1634139,2816790,4675642,7401440,11158890,10595404,6989827,6989664,4392301,2631767,1519663,1519662,2631765,1519690,861658,486354,486355,861662,1519695,2631833,4391910,2631532,2631531,4391909,6989023,10594274,15338706,21308594,15339811,10595174,254497893,2631771,4391949,254729229,254729267,6990523,6990522,10596280,10594296,6990413,4392770,2632050,2632049,4392055,2631621,2631620,4392050,4392756,2632040,1519810,1519811,2632044,4392764,6989307,10594678,15339234,21309118,15340877,15340260,10710809,10710808,15488866,255839863,21495140,255839861,37288399,37029906,28531733,24068716,17712787,12529786,12529788,12529794,12529795,17712797,15709900,15709897,21766823,29062691,37611974,268660706,257017495,30664700,23248725,16984810,11899166,7957539,7957538,11899164,13516549,13516550,18953201,25564447,33325435,42305999,52692810,64593296,77775966,91703356,105910376,120122098,133963820,147185903,159544659,170872231,180991689,263726407,204043249,209482130,213944808,217607966,220664839,223264926,225513377,227469820,229181041,230692928,232039725,230718639,229208690,227500571,225547151,223301729,220704037,217651456,213993791,209538374,264368334,197599081,189955914,181091945,170986628,159671534,147323455,134111417,120279900,106078632,259678743,77957780,77957781,91882954,258424659,52842193,257217289,33444584,25674007,19052547,13601036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14010452, s2 = 10831977, dlinesl.size( ) = 2 s1 = 14010452, s2 = 10831977, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14010452, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10831978, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11012103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012103, s2 = 11014146, int(edited[s2]) = 0 s1 = 11012103, s2 = 11014146, d1 = 33, d2 = 30 Dl.O(d1) = 13449429,18874059,25475461,25475538,25475537,33223545,25475515,25475516,33223403,255665897,13449392,13449391,18874002,268241529,16913226,23177986,25475390,25475386,256598942,49121757,39194135,30597046,23177977,23177978,18874091,18874088,25475501,33223540,33223543,256645835,42183557,42183556,52542349,52542348,52542554,52542555,64416089,52541513,52541512,52542412,49121763,49121761,60522818,60580917,49181259,39255611,39255613,40786630,32029807,24467572,24467573,32029810,40786633,41686580,41686581,256037474,50427626,40394149,40394148,50427625,256037472,41686572,51997913,60580852,49181142,49181141,60580850,73324675,73324689,60580892,49181235,40786637,32029812,24467574,24467575,32029813,40786639,41686557,269488593,61917692,256037468,39255624,30659686,30659685,30659636,23240337,23240336,30659635,39255561,39255476,30659575,30659574,39255481,39255502,30659586,23240301,16970832,11883073,11883072,16970829,23240293,23240304,16970835,16970836,23240307,30659598,39255518,49181165,39255564,39255565,49065388,49065387,255925636,30659625,39255551,49181199,60580877,59148900,255104866,59148853,59148855,71886669,255484750,63255651,71886686,71886687,85471228,90930126,77049298,77049299,90930127,257547160,256966440,85471232,99412084,257547188,85765189,85765190,87562310,86556020,73290390,70362608,70362607,258590680,57671203,61135272,61135275,73907251,87510709,270152342,80450651,257346738,60999744,49563358,39595783,39595784,39648014,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423372,2423369,4047983,2423372,2423369 Dl.O(d2) = 22783097,30171680,36937847,36937846,256572565,24492590,24492591,255238845,13130105,18166645,12883422,12883423,14457251,9946295,8718719,5675129,4095667,4095668,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,12809146,12809143,13791013,12829599,12829598,13122448,12841399,8732562,8710370,5670271,3527123,2099227,1208635,681559,681560,1208637,254287407,3527685,3527684,254624173,268271401,32076388,30023386,22650351,21610504,21610505,28886663,22901502,16670750,11635960,11635959,255504779,30300212,37139329,29077683,28626211,21388171,21388173,28626216,33097572,25363994,18781164,13376397,13376395,18781157,25363983,33097563,33610043,33610044,42635796,40468516,40468515,50504377,258173496,58309332,53364063,53364064,65367959,78672665,71005874,60832148,53084078,42635827,42635826,53084076,60832164,49430272,49430271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012103, s2 = 11014146, dlinesl.size( ) = 2 s1 = 11012103, s2 = 11014146, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11012103, Dl.E( ) = 34, 1.29e-05 seconds used appending s1 = 11107803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107803, s2 = 11414560, int(edited[s2]) = 0 s1 = 11107803, s2 = 11414560, d1 = 10, d2 = 18 Dl.O(d1) = 255795653,254713267 Dl.O(d2) = 270793527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107803, s2 = 11414560, dlinesl.size( ) = 8 s1 = 11066761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637945, s2 = 11632678, int(edited[s2]) = 0 s1 = 11637945, s2 = 11632678, d1 = 36, d2 = 23 Dl.O(d1) = 246564664,267552220,246228357,246228356,267543043 Dl.O(d2) = 246029273,267487260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637945, s2 = 11632678, dlinesl.size( ) = 32 s1 = 11688499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15213976, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14010626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10836733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10837702, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14055427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055427, s2 = 10839825, int(edited[s2]) = 0 s1 = 14055427, s2 = 10839825, d1 = 10, d2 = 16 Dl.O(d1) = 43355377,257267555 Dl.O(d2) = 107869996,261521713,122283204,260864806,260358371,136256773,136256780,149519696,161824410,153211511,140529345,261687495,136256778,136256779,136256780,149519696,149519693,149519691,161824407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055427, s2 = 10839825, dlinesl.size( ) = 20 s1 = 11120873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120873, s2 = 10839989, int(edited[s2]) = 0 s1 = 11120873, s2 = 10839989, d1 = 39, d2 = 30 Dl.O(d1) = 39296980,30699332,23283679,17069138,11979863,8027845,8027843,8068242,5162354,3145359,3145363,5162345,8068227,11978424,11978421,8027543,5116630,5116633,5372701,8029298,5118402,254256025,1037413,584344,326515,326514,584342,1037410,1816820,1818384,3111737,5121764,5102078,5102077,7250177,7250176,10954299,15808144,11986849,8061790,5154380,5154381,8061791,8081056,5176662,4759505,4759502,3109164,1816853,1816852,3109174,2868628,2868627,3099397,1810886,1034215,582771,582770,1034214,1810884,3099394,5105423,5176874,3158079,1848524,1848523,3158076,254570221,5146713,8039304,5155217,5155218,4760771,4760770,5162132,8068060,8016197,8016196,8068058,5162128,5162126,8068054,8016013,8016014,8031062,8031061,8063063,8063062,254817470,8036098,5175651,5175649,8076209,8032253,5121643,5121640,8031649,9857506,8031763,5121078,5121018,3111149,1818039,1818037,3111143,5121004,4755218,4755220,7521119,11324957,11989717,8041550,5131954,5131956,5177286,254572683,8038295,5128492,3117123,3117122,1839619,1839621,3145004,2428708,2428709,4057695,3159239,1849336,1849334,1821419,1404924,1404926,1823341,3119742,5131804,8041414,8163442,6475388,4057858,2428804,1404983,799558,453186,453185,799554,1404971,1821425,2428816,4057879,6475423,9856904,6474744,6474745,6475243,4057757,4057759,6475249,9857602,7795426,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792795,4941370,2981847,2981848,4941378,7793297,8077900,11686323,11686393,11686471,16729100,11986818,11986819,17074466,22957655,16721607,254087322,7788376,11680013,16721608,20030997,16730258,11687763,9858585,6475981,4058202,4058203,6475984,9858587,254247028,14348282,254369202,8057326,11094905,7358192,4648043,4648041,7358185,11094891,11095301,7750199,7750198,4933126,2976126,2976127,4933131,7750268,6475803,6475802,9858285,11633817,11687271,267983800,7778553,10374234,15047294,10397955,6854248,4301527,2571769,2571768,4301525,255799741,36643367,46510751,272167301,163653931 Dl.O(d2) = 263226708,255997122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120873, s2 = 10839989, dlinesl.size( ) = 34 s1 = 16295166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15007471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10844591, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10846917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10846917, s2 = 11345130, int(edited[s2]) = 0 s1 = 10846917, s2 = 11345130, d1 = 7, d2 = 7 Dl.O(d1) = 1344232,2318576,2341487,2341653,2341655,2330951,2330953,1381251,785784,785780,1381223,2385997,3953656,6270938,6270941,9556817,255174480,13983218,19530218,255174478,21922222,15836948,10974573,7263938,4580927,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580245,7262628,10972269,7373544,7373543,11117231,16012589,22127287,25445405,33190684,257198355,40179720,31494722,23997315,256533829,42148877,269080147,37796326,37796327,47716887,59114258,71852191,59114291,47716913,37796379,29233974,29233914,21916634,21916633,16012356,11117057,7373437,4658131,4658132,255063003,7263948,7263947,10974590,15836973,17653503,17653500,13429182,11767827,11767830,16828282,18848518,25445580,25444724,18847710,13428634,9181296,9181298,13428387,18847338,25444318,21917813,18847834,13428711,11768987,7857461,4987035,254248903,1749602,3012193,4987039,7857468,11769001,16829891,23082493,30495971,257004871,44517330,37550722,255856573,15675197,10851787,7174148,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307,9949827,14462132,14462576,14462572,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,14474325,20173854,20173855,20174058,14474423,14474424,20174059,256224092,44530867,53377409,42911055,42911054,53010696,42570570,33553489,25763835,19124161,254635450,9350096,7264662,7264664,10975578,15838495,21924356,29240924,256520356,26420798,26420797,23835691,23835688,21952015,21952014,257494324,23707647,28942243,21663640,21663639,28942239,37484017,36608578,36608577,37484010,31623760,24118357,17757248,17757249,24118358,31623762,39051130,255957519,19294904,19294903,25959736,33768576,33541380,269095109,260305631,271313524,258703814,47432957,37525337,256347444,268212686,7166478,254508346,7836884,4974610,254228574,7166475,4513686,254508345,10840446,15659424,256347443,47432951,258440824,255690350,14607856,256241353,269653781 Dl.O(d2) = 1344232,2318576,2341487,2341653,2341655,2330951,2330953,1381251,785784,785780,1381223,2385997,3953656,6270938,6270941,9556817,255174480,13983218,19530218,255174478,21922222,15836948,10974573,7263938,4580927,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580245,7262628,10972269,7373544,7373543,11117231,16012589,22127287,25445405,33190684,257198355,40179720,31494722,23997315,256533829,42148877,269080147,37796326,37796327,47716887,59114258,71852191,59114291,47716913,37796379,29233974,29233914,21916634,21916633,16012356,11117057,7373437,4658131,4658132,255063003,7263948,7263947,10974590,15836973,17653503,17653500,13429182,11767827,11767830,16828282,18848518,25445580,25444724,18847710,13428634,9181296,9181298,13428387,18847338,25444318,21917813,18847834,13428711,11768987,7857461,4987035,254248903,1749602,3012193,4987039,7857468,11769001,16829891,23082493,30495971,257004871,44517330,37550722,255856573,15675197,10851787,7174148,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307,9949827,14462132,14462576,14462572,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,14474325,20173854,20173855,20174058,14474423,14474424,20174059,256224092,44530867,53377409,42911055,42911054,53010696,42570570,33553489,25763835,19124161,254635450,9350096,7264662,7264664,10975578,15838495,21924356,29240924,256520356,26420798,26420797,23835691,23835688,21952015,21952014,257494324,23707647,28942243,21663640,21663639,28942239,37484017,36608578,36608577,37484010,31623760,24118357,17757248,17757249,24118358,31623762,39051130,255957519,19294904,19294903,25959736,33768576,33541380,269095109,260305631,271313524,258703814,47432957,37525337,256347444,268212686,7166478,254508346,7836884,4974610,254228574,7166475,4513686,254508345,10840446,15659424,256347443,47432951,258440824,255690350,14607856,256241353,269653781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10846917, s2 = 11345130, dlinesl.size( ) = 2 s1 = 10846917, s2 = 11345130, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10846917, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 11275459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14011259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654675, s2 = 14895288, int(edited[s2]) = 0 s1 = 11654675, s2 = 14895288, d1 = 17, d2 = 10 Dl.O(d1) = 60514609,49111844,257592289,73260636,75019728,73260640,60514612,60514613,60514616,258823673,73260651,86873142,75019559,62198661,50680566,40623153,40623154,40623201,50680562,62198655,75019549,62198778,50680644,50680645,62198779,64143844,64143656,52291515,52291514,62198782,50680646,50680647,62198783,62198792,50680655,268695569,24377493,256055643,31908964,256055641,17979019,12741690,8658894,5632629,3500385,2080490,2080491,1226949,694154,388828,388829,694155,1226951,2126624,3568004,5730453,8797410,12931926,257141855,259593567,118000829,261321655,260472896,88395395,74761735,61961816,50465953,257099040,36515736,28051372,20882776,20882777,28051374,28051370,20882775,20882737,14980420,254615420,4252322,2542145,2542144,4252321,6783390,10312647,14980437,20882766,28051357,255557689,8297428,8297427,255169399,255169405,8297451,8297450,12286483,17431808,256008537,39919201,41482606 Dl.O(d2) = 257287734 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654675, s2 = 14895288, dlinesl.size( ) = 14 s1 = 16334715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16334715, s2 = 11322604, int(edited[s2]) = 0 s1 = 16334715, s2 = 11322604, d1 = 38, d2 = 32 Dl.O(d1) = 261672705,262671979,184998771 Dl.O(d2) = 264906464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16334715, s2 = 11322604, dlinesl.size( ) = 36 s1 = 15272103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10853523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11689357, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11317713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317713, s2 = 11139494, int(edited[s2]) = 0 s1 = 11317713, s2 = 11139494, d1 = 19, d2 = 2 Dl.O(d1) = 262443309,273435769 Dl.O(d2) = 158464364,261611002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317713, s2 = 11139494, dlinesl.size( ) = 16 s1 = 14048469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048469, s2 = 10854371, int(edited[s2]) = 0 s1 = 14048469, s2 = 10854371, d1 = 23, d2 = 29 Dl.O(d1) = 255310382,14614609,19544336,19544338,26264380,20360453,14614448,14614449,20360457,14614590,14614589,20360727,27299390,26264310,19544303,13994935,9614435,9614438,13994940,19544311,17601307,12423754,8396737,8396738,12423757,17601314,23946627,26264383,19710657,14132293,9722126,9722127,14132298,19710664,20360522,14614474,10055740,6607152,4138557,2475326,1430681,813831,461291,260215,260216,461292,813837,1430697,2475304,1430668,813825,461288,260213,260214,254117345,1430677,2475319,4138542,6607054,10055560,14614262,14614648,10055822,6607194,6607195,10055687,14614427,20360434,27298909,27298850,20360368,14614368,10055646,10055645,14614365,14614373,20360124,20360125,27298509,27298515,27298782,27298780,20360353,20360280,255763897,35430250,27298511,20360127,14614209,14614210,20360131,14614415,10055681,6607124,6607125,6607199,4138579,4138502,2475290,2475292,4138505,6607046,6607116,10055556,14614258,10055854,6607211,6607210,10055602,10055601,14614314,14614321,255763901,35430292,35430518,35430519,27298896,20360411,14614402,14614403,20360133,14614212,14614213,20360135,27298517,27298785,20360363,14614361,10055640,10055639,14614359,14614665,10055832,10055830,14614658,20360258,254988297,6607070,6607069,10055586,14614294,20360250,27298668,35430420,27299503,27298723,20360288,20360289,27298726,256768749,35430301,27298548,20360151,14614221,14614218,20360146,27298541,35430289,44868203,35430268,35430267,44868201,36424329,35430265,27298521,27298520,35430261,44868195,44746539,44746540,55654536,44868249,35430513,35430512,27965819,20803361,14909200,10251475,10251474,14909197,20803358,27965816,36424330,44868391,35430479,35430478,35430500,27298746,20360297,20360298,27298751,35430504,44868410,36424321,36424322,46276996,46318515,36465659,28006893,28006895,35430305,44868230,36465651,36465650,44868221,55796565,68223221,81747605,81747751,68223364,60476846,49073530,49073531,60476848,70311782,57621378,46277001,46277000,46276989,36424317,27965808,27965807,36424315,46276986,57621366,57662958,46318748,36465915,36465916,36465919,28007128,20842506,20842505,28006897,20842307,14942652,14942651,20842305,28006891,36465654,36465641,36465642,28007114,28007113,256236140,23126160,16866174,16866173,23126158,30544640,39143248,46318733,46318499,46318498,36465908,28007119,256270745,36424319,255781483,255781485,256270717,28006905,28007207,268598435,268598433,10277450 Dl.O(d2) = 57663079,258620648,70352791,57663062,57663061,70352788,83877649,74340256,61562810,61562809,61563272,50083047,50083048,40061648,257071747,60549556,70352715,57663001,57662993,257996661,83877551,83877569,70352732,57663014,57663015,258620647,83877562,70352724,70352725,61563284,61563283,74340257,83877538,70352693,57662978,57662979,61563275,74340698,83877555,87943377,87943376,101915890,97736473,83877564,70352729,70352730,83877566,87943367,87943368,95596893,95596894,97736469,111657343,116159459,115959865,101915889,87943372,87943371,74504942,73292639,270271555,258203126,256807975,23881975,23881976,31378894,40061655,50083063,61563290,74340700,74340701,87943370,101915888,95596892,81563478,81563476,95596890,87943006,74340284,74340285,269874295,61562828,74340287,258263335,258263337,74504966,61723744,61723745,61563267,50083042,257654541,74340689,83877533,74340697,61563274,50083049,50083050,50083060,61563286,74340709,61723763,61723762,74340283,61562827,61562826,74340281,74340292,61562830,61562829,74340290,87943011,74340692,269399937,40061641,40061640,50083044,61563269,269878086,257084302,74502732,88114090,97736471,87942979,74340265,61562818,50082580,40061182,40061181,50082577,61562815,50244883,50244884,61723767,74504976,256536834,61721382,61721389,61721388,61723726,61723727,74504940,88116190,88116204,88116203,88116202,257667344,61723748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048469, s2 = 10854371, dlinesl.size( ) = 14 s1 = 14123215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123215, s2 = 11171864, int(edited[s2]) = 0 s1 = 14123215, s2 = 11171864, d1 = 52, d2 = 44 Dl.O(d1) = 262465649,261430049,105527787 Dl.O(d2) = 255658133,10775592,7634829,7634828,5472815,3367548,3367549,3740350,5981591,5982266,5982264,9141730,12452979,9141299,8494168,5495284,5495285,8494172,9139149,9139148,9139110,5980558,3739757,2238921,2238922,3739764,5980570,9139127,12495021,11408616,11408617,13374792,17642651,13372291,13371866,13371865,18774044,13375068,13375066,18776230,13371892,9139160,5980587,5980588,9139167,9139301,8543083,8543084,10775613,10775607,7150149,7150148,10818996,8446835,8446836,12476628,14491410,14491409,16887351,23147934,18776584,13372158,9139357,9139358,255256563,25359008,18776578,13372152,9139351,9139350,6791008,4257707,2545407,2545408,4257708,6791012,10321682,14990524,20894438,23970434,18776211,18776212,25358604,25362087,23417172,17141285,12046788,8099032,8099031,12046786,11816299,7894350,5015171,5015172,7894353,11816305,16887391,12476901,12476900,12476576,8446788,5455387,5442067,5442066,8430067,12461249,12472356,8441780,5451116,5451114,8441774,12472345,12465272,8434015,8434016,12465277,16887429,16887428,17624726,12444440,8412826,8412827,12444447,17624734,17648296,16960838,11872735,255524813,17621270,17648887,23990385,21670731,21670730,28950534,23982408,17635926,268212125,15633969,17636914,12471739,12471738,254602281,3356758,5459772,8451975,254860911,8445272,8423052,8423053,254770849,4693953,4693955,7428393,11195522,8418723,5449047,5449048,5449057,5449056,8439144,12469903,17623285,254857629,5432846,3339722,3339721,5432845,5434906,5434905,5460342,3357115,1973596,1973598,3357120,254602365,5452309,5452308,8443251,5455101,3353681,3353683,3335859,1961865,1961864,1961879,1961877,3335882,4721972,7471832,8427728,8410374,5427263,3336342,1962122,1962121,3336339,5427260,8410365,8423074,8423076,5444654,3347116,3347115,5444634,8433409,8433408,5444883,3347245,3347243,5444878,7298092,8419875,8448190,8408847,5426161,3335645,1961732,1120633,1120635,1961721,1961723,3335630,5426141,3338039,3338040,5430079,8414177,8403298,5422489,5422490,8403300,5427290,5427291,5441806,3345325,3345326,5441788,5441768,3345298,3345169,1966984,1123372,1123369,1966976,3345154,5441527,8411751,8411752,8427851,8423000,8208671,5279742,3233274,3233276,5279751,5436365,5424152,3334447,1961088,1120281,628606,349804,191730,191729,349799,629884,630015,349866,192104,104853,57642,32422,18641,18643,32396,32395,57587,104748,254089679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123215, s2 = 11171864, dlinesl.size( ) = 56 s1 = 14104533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14104533, s2 = 14168454, int(edited[s2]) = 0 s1 = 14104533, s2 = 14168454, d1 = 12, d2 = 9 Dl.O(d1) = 134010367,260879078,109494492,98869389,259869280,78712679,78712680,92780002,107126561,107126553,107126552,105890221,91683270,77756320,76228225,67721280,257316859,44535104,55381379,67721279,65406107,53401818,42934858,33888336,26063347,255361562,9510193,9510191,10352081,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747146,6747113,4227766,2527888,2527886,4227760,6747102,5926526,3716287,3716288,5943141,9085879,13304259,15057684,15057685,14997623,14997622,20902272,20943573,28120915,36594031,46460285,55381384,55381385,67721286,81186274,260537511,140057338,152747387,263505237,264939059 Dl.O(d2) = 265523345,221455264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11689873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11689873, s2 = 11111728, int(edited[s2]) = 0 s1 = 11689873, s2 = 11111728, d1 = 0, d2 = 3 Dl.O(d1) = 135149725 Dl.O(d2) = 112600306,98605074,84680005,71115339,58397400,47025343,256321257,268207073,15403013,21386573,28624239,255428326,18179986,15343509,10598229,10598231,15343500,18980219,18980207,18980205,25589185,25589216,21367183,21367185,28395422,28624389,37137210,35097458,35097457,38839531,30256000,30256002,38839535,42247610,33268208,25507566,18897230,13465685,9208099,9208100,13465688,18897236,25507578,18897396,18897329,13465751,9208135,9208136,13465717,13465676,9208093,9208094,13465678,18897221,19880398,14244200,9791874,6437294,4038064,4038065,6437298,6379109,6379108,7723870,11602653,16633177,22859204,30254343,34695924,34695925,38839611,38838915,38838914,33042168,33042166,38838047,34280477,34280478,30885312,25314468,25314469,26404408,19671269,19671270,26405662,30675262,25314440,25314438,26406323,26406324,26404435,19670162,14100491,9698416,9698413,14100484,19670149,25314314,18737079,18737081,25314321,25314388,25314368,25314367,26405670,19671281,19671280,19880350,26701271,33042450,25314657,25314656,26405050,19670725,14100939,14100938,19670701,26404911,25314682,18737315,18737316,25314687,33042628,41986300,33042468,25314553,18737236,13338822,9113652,5962943,3728836,2232502,2232503,3728843,5962956,9113681,13338884,17176336,23453656,30885523,25314524,25314525,23741113,17416705,17416706,23741118,31224398,34280337,43378935,53902538,64579723,77762610,74180828,74180829,77326340,86888943,73277693,73277692,71548573,58820300,256761366,28982072,21699733,21699734,28375548,28375551,31224223,39900950,32135173,32135172,40912977,47006518,47006516,49920979,39901376,31224666,31224665,39901372,49920972,58376849,49790975,39771150,31092876,30352739,30352738,28850916,28850917,37120390,37193605,28671558,21424337,21424336,24553903,18116813,18116815,23256005,22007458,15906486,15906484,22007455,21578929,21578930,28850902,37377865,32312120,24698517,24698516,32135284,28610055,28610054,28633185,21394097,21394098,22007478,255068055,7302341,7302340,11027995,15440448,21434632,28684294,37208187,47104837,40913087,40912953,40912954,41125317,32312116,32312117,37391022,28850926,28850927,37391024,47300233,58690876,71423840,257459050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11689873, s2 = 11111728, dlinesl.size( ) = 2 s1 = 11689873, s2 = 11111728, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11689873, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 11111727, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14019416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541141, s2 = 14019415, int(edited[s2]) = 0 s1 = 11541141, s2 = 14019415, d1 = 4, d2 = 8 Dl.O(d1) = 186205191,176811408,176811407,186205190,194395169,273875661,212187668,265012759,222245393,224634941,226710118,228519130,227924659,226053694,223907323,221430323,218540903,215106740,210935638,273726890,183885704,262270332,151477596,151477597,151477598,138776180,125447299,111644725,97723950,83865107,70339819,70339820,83865110,97723954,97723998,97723939,83865103,83865105,97723942,111644711,111644708,111644707,125447280,138776160,138776170,151477574,138776163,125447337,125447336,138776224,151477635,151477674,138776264,138776265,151477677,151477578,151477579,163361741,174215153,174215168,174215179,163361774,151477651,138776241,138776242,125447353,111644772,97723992,83865130,70339829,57649258,46304463 Dl.O(d2) = 46304462,57649257,70339826,83865126,97723985,111644766,125447347,138776237,151477647,151477582,138776168,125447288,111644714,97723944,97723943,258792444,70339813,57649250,57649251,70339815,83865100,259864727,125447272,138776150,151477570,138776236,125447346,111644765,260466453,138776231,138776131,261599115,262608917,163361732,151477571,151477572,163361733,151477581,151477580,151477575,261210168,138776153,151477574,138776163,125447337,125447336,138776224,151477635,151477674,138776264,138776265,151477677,151477578,151477579,163361741,174215153,174215168,174215179,163361774,151477651,138776241,138776242,138776246,151477655,163361711,151477536,138776123,125447255,125447254,125447263,111644697,258792444,70339813,57649250,57649251,70339815,83865100,259864727,125447272,138776150,151477570,151477646,163361713,151477537,138776125,125447256,125447257,138776129,138776166,125447286,111644712,111644711,111644708,97723940,83865104,70339817,70339818,259245935,104747157,258365840,63613402,51824543,51824542,63613405,76703894,90572767,104747165,118940362,132772937,146004090,158380498,169753587,179938895,180288348,170119932,270997926,259607974,258354040,269048658,256087372,41812259,41812258,47382325,37474969,28933399,21909656,15828026,10968735,10968736,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953251,13136762,15828037,18488629,25018660,267854414,27046297,255227554,62847375,75810945,89593063,103708641,117862604,131689986,144937864,157350723,264016819,208473501,213154427,264021850,222842317,225154187,227163582,274484110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541141, s2 = 14019415, dlinesl.size( ) = 2 s1 = 11541141, s2 = 14019415, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11541141, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10999569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10999569, s2 = 14100424, int(edited[s2]) = 0 s1 = 10999569, s2 = 14100424, d1 = 0, d2 = 20 Dl.O(d1) = 5746158,5746156,4507885,2708794,2708795,2708571,2708576,2263122,2263124,2263120,2263124,2263120,2263124,2263120,2263121,2263093,2263094,2262773,2262772,2263982,2263984,3779683,6041511,9225177,13483926,18914653,25523971,261444229,159507646 Dl.O(d2) = 180959743,264361905,213923458,217588297,265308338,264523808,264523806,219407609,222196942,265731996,265109708,213923455,264647692,209459596,264378418,263744176,180959744,180959743,264361905,213923458,217588297,220647100,222196942,224591551,225499275,223249107,265109708,213923455,264647692,209459596,264378418,263744176,180959744,170837973,170837974,180959745,273363026,201325474,207241480,212119933,212119932,212119937,207241478,201325473,201325474,207241480,212119933,207241471,207241470,273998348,273727322,194296158,262747988,166032359,166032358,176672906,273363026,201325474,207241480,264240889,194296156,194296157,201325472,207241476,212119936,273727322,194296158,194296159,186088962,176672908,166032359,154279656,261212287,260988460,259156234,22795499,29994043,38564305,260022203,112950292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10999569, s2 = 14100424, dlinesl.size( ) = 12 s1 = 10867834, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10868546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14021771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14021771, s2 = 11000670, int(edited[s2]) = 0 s1 = 14021771, s2 = 11000670, d1 = 17, d2 = 12 Dl.O(d1) = 38768599,30184896,22795150,16578468,11558994,11435635,7603600,4810358,4810357,7603598,7610553,4814833,2901618,1683335,957202,539411,302289,302290,539415,957213,1683362,2896613,1680839,956039,956037,1680829,2896595,1681940,956515,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,7616507,4819015,2947495,1709411,1709414,2947505,2952834,1712356,1712355,2952795,4899383,7738083,11619486,13344936,13344935,16395886,16395887,20930214,22597127,254834776,22602604,16642058,16642061,12838709,8730589,5683873,3535722,2104516,2104517,3535724,3029602,1762763,1762765,3029606,3029659,5010543,7889242,11810803,16881168,23141286,28113712,28113710,36586292,36859209,46740894,58111035,49217994,39291312,256475335,23278867,17020346,11936084,255141449,23278866,23890857,23890858,31387415,31390313,24093118,22839870,22839871,30232427,33357171,31596620,31596621,256020174,21246387,15280118,255390501,28467796,36966486,40054630,31373398,31175114,255811316,31175079,31175084,23686328,23686327,31175083,30176610,22787911,22787912,30176612,24171471,17804064,17804065,24171473,31679545,39857699,39857700,36657393,28180949,20998405,15083172,10403510,10403511,15083175,20998410,28180959,28180986,20998426,15083182,10403515,6857866,6857867,9665306,9665305,14055929,19614895,26343670,28362295,36860603,43315212,43315213,53839033,57881077,50407782,40372896,31679505,24171438,17804045,12603647,8553381,8553380,12061327,8109752,8109753,12061326,10542916,10542919,15276714,255255174,12068401,8115308,8115307,6961337,4373713,4373712,6961336,10554726,15289445,19834130,14208520,14208521,19834133,15267271,10534576,10534575,10527943,6943334,6943333,4370178,2618205,1511634,857122,857119,1511623,2618171,4370090,6955214,10546168,10537034,10537033,14071307,9677107,9677108,14071308,19634442,20215215,20215216,19834749,14209140,9768097,9768101,14209137,12061312,254574445,3170132,1855956,1855955,3170131,5195727,6784675,6784673,6784678,10314152,12389489,8372489,8372488,6060780,6060781,6533465,9940518,9938334,6532072,6532068,9938330,9248932,6057330,4554692,4554691,7227577,10926283,12348594,254594131,3311398,3311397,5384989,8343046,12348591,12348607,12348608,17511749,17511759,255565147,31348359,40028002,31348110,256522095,268996055,40028233,40028241,31348293,23854626,17511720,255565139,31348071,31348070,40027951,50047766,61527141,60560537,49160771,39234154,30636295,30636296,24007536,17661559,12489313,8459107,8459106,12489309,17661551,24007524,31506848,31795080,24281336,24069911,24069912,24282250,17901566,17901565,24282244,31796066,40490998,50526605,51363708,51363709,62017224,61763276,257087499,40262605,31795081,31795082,32749253,32749252,31575272,24069654,17713613,254862372,5492122,3382451,3382453,5492129,8491556,12530491,17713652,256033807,31575668,24069956,24069957,31575669,40262774,50283716,61763373,74546919,61763380,61763379,61763396,50283739,50283740,50283747,50283746,61763402,60067221,48670914,38749218,38749217,48670913,60067219,59940744,48548362,38634070,38634071,48548364,59940747,72680113,74305130,87908918,258892926,61527407,50048034,50048035,258270676,42518395,42518394,52928886,64854383,74513968,61732357,50253977,50253976,46753671,36874467,28377666,22637514,16449168,11461087,7623395,4823321,4823320,7623389,5180864,3161121,1850577,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,12027029,15203694,15203693,17113606,16196835,16196836,21160329,22346518,22346611,16196865,11259050,11259049,16196860,22346602,24730746,24730747,32346279,41160815,51345766,255971956,27282065,20346651,20346650,27282063,35401052,35401051,37445132,32998936,32957326,25237474,20959057,20959055,28137144,22845013,22845014,17022494,11937798,7989492,5085155,5085154,7989483,11937780,17022465,14993898,255002056,20349834,15539875,10747323,7100524,4470596,2685999,2686004,2880835,2686081,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778696,7557183,11304117,15463907,11374282,7556468,7556466,7558160,4779312,2880197,2880198,4776637,4776638,7103194,4472158,4472157,7103189,10748990,10748991,7554551,4777205,2879125,1670894,1670895,2879131,4777217,7553769,4778562,2879786,1671209,950824,950825,1671216,1671302,1671303,950885,950883,1671329,951045,951048,1671681,2880771,4780430,4781289,7561427,8206295,8343928,5385525,3311684,3311682,4780260,4780261,7559731,9929366,9929367,7769184,7769183,7555481,7555479,254346584,22527773,16354983,16354981,22027134,22027133,23588313,20125827,20125829,16342003,11370673,7554064,7554063,11370667,16341991,12191384,12191387,16339525,14431426,14431428,20123091,16347532,16347531,14485769,14485764,11370564,11364491,11364492,16334031,11374948,11358328,7546359,7546358,11358266,16326150,16694538,16694539,17279045,12158598,8245688,5317266,5317268,8245693,12168516,268250689,267755046,254088954,12190948,12190947,267740506,31118169,31120233,31120231,39800747,38424311,254265890,17337061,12211170,8241969,5313709,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,11287398,11287403,12146362,10750973,7548997,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194403,12163418,17284246,23596461,31079803,255469520,74034946,258137368,28995939,28995938,37541239,37714912,37714856,29154268,21845583,15775295,10927309,7228640,7228641,10927312,15775302,21845599,21711302,15668841,10847102,7170910,4516731,2714436,1572684,894179,504465,504464,894175,1572679,1572330,1572329,1782473,1782472,3057983,3084182,1800169,1790254,1790255,1799394,1799393,1803862,1803863,3088541,1806977,1806979,1572868,1572869,1798926,1026429,1026430,1798915,1572115,1572114,1026869,1026870,1799558,1800744,1780446,1780448,1796532,3078790,1803593,1029772,1029771,1797106,254378889,1803591,1799655,1027200,1027199,1800007,254176227,579065,323893,178949,98446,54444,30794,17765,17763,30789,54437,267737567,323845,578973,254176203,3084621,3059366,3059365,4515607,4515608,5085785,5086150,7934477,5094712,3092395,1806800,1789512,1020435,574981,574982,1020436,1789514,3069375,5065076,4515753,3085139,1800938,1027835,1027833,1800933,3067292,1788031,1788032,254252419,1780194,3055032,5044569,3085864,3085863,5086533,3085920,1801671,1028381,579469,324105,324106,579470,1028384,1801253,1801254,1800383,1027491,1027492,1800401,3057868,3057853,1782366,1016438,1016439,1027509,1800434,1806808,1031939,581563,581564,1031943,1806817,3092420,3084461,3078793,3078794,3087358,3066777,3056747,1806348,1806347,3091865,5065846,3069980,3069979,3077188,3063149,3055917,1792886,1022669,1022668,1792878,3073563,5061851,3087327,3057094,1796998,1025396,1025395,1796993,1786657,1786656,2469145,4127705,5077295,3079329,1797010,1025419,577801,323270,323271,577805,1025429,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802749,3057767,1797252,1025559,581020,324921,324922,322240,322239,575833,1021955,1791790,1787686,1019295,1019293,1022028,1785289,1018029,1018027,1785279,1792115,1786536,1786539,1785810,1785812,3063502,1794386,1023729,1023726,1794399,3055825,1805722,1031168,581091,324963,324961,581082,1031150,1805689,3071359,3071357,5067419,3080232,1797659,1797662,3080243,1802596,1802594,3070581,3070582,3072222,3090867,3086996,1802555,1802558,3057374,1782023,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799496,1799495,3083428,5083697,7987573,11871123,7935001,5045628,3056088,1781069,1781067,3056084,1796866,1796865,3079149,5052063,5052064,5074184,5074185,7171748,254177506,5059345,3065260,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048061,7937863,7956134,5060458 Dl.O(d2) = 16968938,16976165,11889046,11889047,16976167,23243379,17011504,16993711,16993712,16993706,16993694,16993693,17003681,11916634,11916632,16722560,11927192,7980824,5079330,5079328,7960521,7960520,11902537,11951453,8000250,8000251,7941364,5050488,3059964,3059963,1783854,1783853,3059977,5050520,7941433,11879276,16967358,16963631,11875545,11875543,11875521,11875517,11877057,7939886,5049692,5049690,7939858,7939860,11877009,7979474,7979473,7986808,5083104,3082967,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329607,590958,1050662,1841128,3147426,5164998,7942680,5051247,5051246,7942678,5067559,5067557,7965330,7941976,5050830,3060126,3060125,5050828,7941972,11880023,16960694,16960695,17004432,17253903,17253901,23269877,254256124,7984728,5081798,5081800,7984731,11931754,10834615,7162026,4510832,2710575,2710576,4510774,267826355,2710692,4511062,7162469,7494029,4737227,2855077,2855073,4558149,4558151,5388617,3313527,1949319,1949322,3313539,5388633,7470212,7470211,11253397,7959617,5063047,3067698,1788301,1788300,3067696,5063041,7955446,5060005,5060006,5060668,5060432,5059360,3065235,1786802,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5391448,8352948,254178330,254384738,7950020,11890257,16977230,15153310,10450560,10450558,15153308,16983950,23248103,16983612,16963148,16963147,254824402,11883935,7952653,5058076,5058077,7952655,11866675,11866674,16954270,11937335,11937334,17021951,23280855,28976712,28976713,21694162,15653855,13409594,9168090,9168091,13409596,18822316,13410327,11211602,11211601,16139376,22283401,18822761,15653607,15653608,17033126,15501071,10719984,7082339,7082340,7985236,7438896,4700467,4700466,7438890,8069508,5163881,3146747,1840762,1050484,1050483,1840765,3146772,5163934,8069591,12011557,12011558,13545811,9273326,9273325,13545809,11931755,11931754,10834615,7162026,4510832,2710575,2710576,4510774,267826355,2710692,4511062,7162469,7494029,4737227,2855077,2855073,4558149,4558151,5388617,3313527,1949319,1949322,3313539,5388633,7470212,7470211,11253397,7959617,5063047,3067698,1788301,1788300,3067696,5063041,7959606,11901530,16986838,23250040,17990421,12751227,8666346,5638260,3504276,3504275,5638256,8666337,12751205,17990391,24390300,25920712,24390338,17990415,17990414,21345634,28574104,21345643,21345644,24586947,254967652,9848128,9848127,14335687,20016347,26898296,25930913,19268893,19268892,25930911,30402852,268278862,18142483,18142484,24586899,18142560,12865248,8749318,5696472,3544387,3544388,5696475,8749321,12865254,18142573,255227912,10476736,6907734,4338545,2597368,254328915,6907730,10476732,255035854,18142469,24586880,21420053,15452097,10683883,7057757,4443279,4443278,7057756,10683881,15452092,18048985,12795049,12795048,12865386,12865385,18142756,24586777,18142362,12865113,8749245,5696433,3544368,3544367,5696432,8749243,12865109,12865089,8749233,8749231,12865086,11736008,11736007,8749328,8749330,8749386,8749384,12865352,18142618,12865287,8749345,5696485,5696484,8749343,12865285,18142617,24587047,32173093,32173119,24587079,23131028,23131027,30549178,39146932,49076644,256580623,24587093,24587092,32173133,40952670,51095788,51095875,40952746,257131559,51095842,46908385,37031189,28533232,21310709,15340874,15340260,10710809,7076019,4454825,2676137,1550144,881282,497271,278837,278838,497281,881310,1019164,574314,574315,1019171,1787456,3066440,5061373,5342479,8280451,12261272,17398756,12692011,8622057,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,21259570,18972974,13537896,13537897,18972980,25580749,255671990,28295133,28295132,30001593,30001591,32794030,25094869,18548062,13178911,8983384,5864819,3661489,2190748,1271612,1271616,2190765,3661524,5864877,254906577,18548303,25095244,32794620,41711013,52021828,46891080,37011985,28512979,21292320,21292321,28512982,37011988,256500018,29097586,25095213,255823743,15326339,10585678,6983167,4387792,2628628,2628631,4387798,6983180,10585701,254633495,5789356,8878176,13036228,9299836,6092017,6092020,7420365,9299771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14021771, s2 = 11000670, dlinesl.size( ) = 12 s1 = 14012207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10870812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14047339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10873700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14120085, s2 = 8475622, int(edited[s2]) = 0 s1 = 14120085, s2 = 8475622, d1 = 22, d2 = 37 Dl.O(d1) = 271995778 Dl.O(d2) = 115239865,101162314,87164258,73545785,60798672,49397972,39469483,30865727,257033201,268793074,19297866,13797487,13797488,13846731,13846732,13734179,9408982,9408984,9457448,9500152,9149276,6229913,3900427,2336029,1354003,1354005,2336075,3900494,6230019,9498516,13846433,15631791,10817465,10817463,7344462,7344459,11076185,7344501,7344503,11062318,7334935,4633370,4633373,7334883,7334880,11062258,11063306,7335571,4633739,4633738,6733798,10248763,14905821,15935149,22037093,15938363,11059837,11059836,15938360,13458629,9203655,9203654,11069407,7339810,7339809,11069403,15950764,13458573,11080201,11080203,11080209,15963293,22068108,29395844,256379385,256198792,11204807,11204806,11063924,11063927,15943873,22046920,29302516,29302515,272074646,273541715,273329966,258671716,22635359,258031068,15223333,13857041,9505827,9505826,13857040,18430145,23824964,26057106,26057105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14120085, s2 = 8475622, dlinesl.size( ) = 28 s1 = 14035216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14035216, s2 = 9138361, int(edited[s2]) = 0 s1 = 14035216, s2 = 9138361, d1 = 38, d2 = 0 Dl.O(d1) = 254706613,1461992,1461995,2226727,1291486,737283,737213,419020,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470752,1459240,1459238,254321809,6758988,10283387,6792980,6792977,5924926,4308672,3704866,3704868,3712893,2223346,2223345,2223333,2223256,2223254,3712741,5937704,9078874,5937623,3712699,3712701,5937645,6825040,4281671,2559946,1474358,833746,470046,264224,264225,470048,833758,1474384,2560000,4281763,6825152,4299601,4299600,5938579,255649845,28067187,20896104,14992073,10323139,10323138,14992071,20896100,18670215,13322229,9102170,5955633,5955632,6822559,8477893,5480143,3372247,3372246,3372230,3372231,5480120,8477876,9096762,9096764,6822575,6822573,10358559,10357394,8600129,8600128,12662510,10357255,10357254,254714649,254714651,5587485,3466500,3466501,5587488,8598910,12663297,17879598,20830814,14932467,10269298,6748427,4228572,2528348,1457112,1457113,2528350,4228576,6748432,10269304,10305633,13297010,9078892,9078893,9103142,254914097,12662535,14958519,14958518,20860018,15052834,10378797,6839007,254325711,2565506,4291068,6839016,257401817,270276921,58300937 Dl.O(d2) = 47765113,255440022,18916254,18916253,25525658,29275638,256370397,25077450,255242071,8976963,5860491,5860492,8976947,13169272,18534323,18534327,25077413,32774809,32774810,32774811,41691523,32774804,32774805,41691524,52003191,63818524,76925352,88065433,102050896,116108608,130018348,143351585,133002480,261410393,158607326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14035216, s2 = 9138361, dlinesl.size( ) = 28 s1 = 14030777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11052049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052049, s2 = 14249035, int(edited[s2]) = 0 s1 = 11052049, s2 = 14249035, d1 = 20, d2 = 8 Dl.O(d1) = 256240569,44822438 Dl.O(d2) = 261011231,123992579,272101857,259809889,259809887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052049, s2 = 14249035, dlinesl.size( ) = 12 s1 = 11012447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012447, s2 = 10996594, int(edited[s2]) = 0 s1 = 11012447, s2 = 10996594, d1 = 16, d2 = 12 Dl.O(d1) = 9283041,6081001,3805043,2279283,2279281,3805037,6080989,9283025,9364945,10691500,7063239,7063235,6080346,6080347,3805851,2279805,2279800,3805828,264366603,213973895 Dl.O(d2) = 264719794,258034426,20866155,14964044,14964045,14404728,14404730,17183374,21457524,15458053,10688098,256984168,7094286,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,11057659,15935233,15947372,11081107,11081106,13458941,11069528,7339897,4636232,4636236,4640306,2794913,1621134,921859,921861,1621138,1619594,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012447, s2 = 10996594, dlinesl.size( ) = 20 s1 = 14132854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11333005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11333005, s2 = 14135830, int(edited[s2]) = 0 s1 = 11333005, s2 = 14135830, d1 = 40, d2 = 15 Dl.O(d1) = 263901161,194269328,194269329 Dl.O(d2) = 216083115,265213395,265730749,265465328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11333005, s2 = 14135830, dlinesl.size( ) = 36 s1 = 11658971, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658971, s2 = 11246648, int(edited[s2]) = 0 s1 = 11658971, s2 = 11246648, d1 = 41, d2 = 25 Dl.O(d1) = 272279166,167172254,167172255,177671423,186952264,192442589,192442588,183978561,174318612,163473260,151591738,138889882,125556739,111749517,97825924,83965733,70438694,57743717,46393214,36532635,28066124,255742200,31539254,29495254,29495255,32327247,32327248,26900085,20046254,14360582,14360584,20046256,26932400,21823947,21823945,20061990,14377804,9883908,9883912,14377821,9898364,6505385,6505384,9863964,9863963,14355791,15728526,15728528,21786993,22092218,22092216,29422911,37691540,35013993,35013992,35024218,26943431,26943430,29421947,22649993,22649994,30022999,38595754,35011856,26930179,20044583,14359588,9867061,9867062,14359590,20044587,26930192,20058263,20058261,20066171,20066170,24005011,20067126,20067129,21779501,20017511,17659725,254972524,31503716,26926361,20040939,20040940,26926363,30724386,28646815,21404942,21404940,21994505,18725165,18725163,25299777,28421622,28421623,30021227,22648442,16457275,16457276,16457277,16457278,22648446,30021232,30058908,254470086,30722977,23305424,17044516,11957225,11957224,17044515,23305422,30722975,25761463,25761465,33149891,25409410,19231970,17045594,17045595,23306817,29448648,27079548,25409775,23306900,17045661,17045659,18817990,25408619,28375741 Dl.O(d2) = 53870076,43345226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658971, s2 = 11246648, dlinesl.size( ) = 18 s1 = 10886253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10886253, s2 = 11591694, int(edited[s2]) = 0 s1 = 10886253, s2 = 11591694, d1 = 2, d2 = 9 Dl.O(d1) = 128100262,114211661,100179374,86215589,72617072,72617073,72228387,59492831,48104550,48104551,257333368,99773606,269816276,100179334,114211632,113786874,99773602,85820762,72228373,72228372,85820759,85820772,72228392,59492834,59492833,59492810,59492809,57731894,57731892,70426421,83952931,72617033,59878633,58671818,268408154,256959154,86215556,86215557,100179339,114211634,113786878,113786877,99773609,85820770,85820769,99773581,85820733,85820734,72228388,72228389,83952932,97811997,84980141,71406051,71406050,58671820,47280630,37371400,28831824,28831823,22633382,22633381,30003145,38573854,48487072,59878634,72617035,86215559,100179343,114211639,113786868,99773591,85820742,85820741,98905493,84980145,71406054,58671815,255099096,255099094,48487065,48487066,59878636,72617038,258148436,100179344,270328684,100179341,100179340,114211636,114211643,100179346,98905488,84980131,71406038,58671803,47280621,47280622,58671806,64203518,256959148,260859893,146862742,159236047 Dl.O(d2) = 180704277,180704276,262254744,154860747,261089720,126130522,259898341,84380688,259898343,126130523,139505235,152236373,164123380,174944753,184551145,192939934,200136277,206213158,211238301,215344328,218736913,221600745,224060340,226193616,228050986,229681060,229681061,231127471,232423886,233596054,234662589,235635999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10886253, s2 = 11591694, dlinesl.size( ) = 18 s1 = 10886318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14163156, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11305553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11305553, s2 = 14163155, int(edited[s2]) = 1 s1 = 11340179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340179, s2 = 11251508, int(edited[s2]) = 0 s1 = 11340179, s2 = 11251508, d1 = 15, d2 = 12 Dl.O(d1) = 212799342,208035381,202257268,195385194,187347819,178114192,167653590,156046636,143508722,130177713,130177714 Dl.O(d2) = 262360551,167653589,156046637,156046638,156046633,143508717,143508716,156046632,143508726,130177717,116337887,116337888,130177718,143508725,143508719,261237950,130177715,143508725,143508719,130177710,116337883,102242498,102242499,102242502 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340179, s2 = 11251508, dlinesl.size( ) = 14 s1 = 14013312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14013312, s2 = 11101794, int(edited[s2]) = 0 s1 = 14013312, s2 = 11101794, d1 = 6, d2 = 1 Dl.O(d1) = 76994762,90873223,98956075,258378054,105339762,113665726,259265050,98564886,112558047,120996821,106744319,257631860,65120847,53135464,53135462,59342398,59342399,59504812,59504811,71427749,63884097,63884096,72076490,72076491,85663547,89582456,89582457,103698286,115231326,115231327,101153964,87155972,73537687,73537688,87155974,86905979,73295677,60552454,258203319,86905977,100886136,114937827,128140909,259289470,111897899,259265054 Dl.O(d2) = 59504812,59504811,71427749,63884097,63884096,72076490,72076491,85663547,89582456,89582457,103698286,115231326,115231327,101153964,87155972,73537687,73537688,87155974,86905979,73295677,60552454,49152938,39226283,30628379,28656315,268613455,37268861,28736833,28736832,37268859,37268881,28736851,21479491,21479490,28736848,32725220,37356416,28816976,21548064,15530117,15530116,21548062,22135594,22135593,22135489,16019366,11122606,7377385,4660733,2807902,1628945,1628944,2807900,4660730,7377376,8424923,8424924,12456633,10493247,6919379,6919378,10493241,15212029,21170311,28389129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14013312, s2 = 11101794, dlinesl.size( ) = 2 s1 = 14013312, s2 = 11101794, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14013312, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11101793, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10890502, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10890502, s2 = 11325188, int(edited[s2]) = 0 s1 = 10890502, s2 = 11325188, d1 = 5, d2 = 17 Dl.O(d1) = 175264465 Dl.O(d2) = 259927983 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14034557, s2 = 14531456, int(edited[s2]) = 0 s1 = 14034557, s2 = 14531456, d1 = 34, d2 = 41 Dl.O(d1) = 31321207,23830954,17492602,12333728,8331979,8331980,12333729,17492603,23830956,31321217,39998680,50016790,256130348,47419753,37512002,37512001,37512004,255306292,40937200,32627801,32627802,32343059,24741607,24741608,32357934,25523099,25523098,18913702,13482909,13482908,18913699,25523093,24937498,18425221,13087634,13087635,12950286,12950287,18132687,12857589,254635936,13260114,9047719,9047717,13260107,18648553,25157276,25157275,32864154,40616483,50672680,60587009,70991562,70991561,74374956,74374952,61598792,52410645,267918396,46359112,50119161,54872927,44072428,268122938,23167079,16904179,11829847,7905785,7905786,11829850,16904183,23167087,30585047,25789726,25789728,33585305,28630978,21392243,15407435,10649718,268071291,268264032,27223569,24379042,17980440,13642292,10021646,10021647,14563927,20295177,21509682,15500578,10719633,10350743,10350741,15022901,18728179,13332313,9109514,9109513,10266385,10266383,14929651,19900626,14599505,14599503,14256142,10419704,10419705,11742995,10263032,10263031,14608650,15100754,13338288,9113347,5962789,3728769,3728768,5962784,9113331,13338261,14598239,20340262,14959224,10292127,10292128,12670783,17888475,16572672,11553713,11553712,10694507,10694505,14960014,14960015,16519688,11512833,7661213,7661212,8604797,5591634,3469048,3469047,5591633,7126564,4486759,4486760,7126566,10786055,12384867,8368923,5401206,3320871,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416227,4031835,254682489,6601032,9909087,14406297,9908783,9908784,7676741,6426312,6426311,6603901,254593824,20348063,20959937,15050669,15050670,17492960,12334016,268065198,12096255,8135034,5212113,5212112,8135033,12096253,17201352,23485007,25148069,25148070,32855007,25148067,18591721,13211707,9005894,5878912,3670252,2196851,1276292,730142,730143,1276294,2196854,3670257,5878925,9005920,13211744,18591782,13211811,9005957,9005956,255245233,22456051,19585845,14032057,9647122,9647121,14032054,19585840,19169480,19169479,23969132,17619670,15834071,10972810,7262959,4580415,4580416,5721756,3562166,3562162,4580924,7263925,10974544,15836896,15983201,18849955,15833201,10972235,7262609,4580235,2755666,1597457,1597458,2755670,4580246,7262634,7373569,4658200,2806358,1628048,1628049,2806365,4658213,7373588,11117277,11117428,7373671,4658250,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598,21917835,15834119,10972840,7262973,7262972,10972835,15834102,15837100,15837099,15833352,15833349,14462770,9950281,9950280,14462764,16012894,16012896,15836117,15833147,10972208,7262647,7262648,10972311 Dl.O(d2) = 15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,4581310,2756238,1597762,1597765,2756247,4581328,254755357,15838877,21924901,29244677,37809077,42281579,33300253,33300097,256650751,52668587,53176286,44574204,268761804,20206212,256228455,44574203,55421398,52479659,42124649,33168237,33168238,42124652,33300157,33300156,42281452,42281397,42281396,50828700,50828699,51667229,63410585,52101342,52101341,63920576,61598814,50119165,40098716,31418745,23928695,23928694,31418742,40098713,50119161,55294284,50119215,40098757,40098758,50119216,40959334,32180418,24593703,24593702,22262369,22262370,18226277,18226280,24695368,24686775,24686776,32297730,41108239,51288227,51304374,51304373,58816298,71544837,85116058,85151613,268659262,49058892,49058891,39803480,31123459,23637700,23637701,31123466,39803497,39386580,30784454,30784452,39386575,30884202,255137208,49420402,256469270,57858483,46502305,36635189,28160515,28160514,36635188,46502304,57858481,70560113,84096415,84096448,70560128,70560129,84096451,97970052,97970035,256816952,46502310,256278968,84096406,70560108,57858479,57858478,256816946,97970011,258006284,97970010,111907318,258006286,97970011,111907322,125724748,125724749,139063425,259875910,260477594,139063444,125724777,111907349,111907347,125724774,111907356,111907354,259256974,125724755,111907339,111907338,125724766,139063439,139063444,125724777,111907349,111907347,125724774,111907356,97970033,84096431,70560121,57858487,46502308,36635190,28160515,28160514,36635188,46502304,57858481,70560113,84096415,84096448,70560128,70560129,84096451,97970052,97970035,97970034,97876861,97876862,97970009,97970010,111907317,125724742,259875906,125724792,271287072,139063442,258630460,97970025,97970024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14034557, s2 = 14531456, dlinesl.size( ) = 18 s1 = 14057113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14057113, s2 = 11022720, int(edited[s2]) = 0 s1 = 14057113, s2 = 11022720, d1 = 30, d2 = 86 Dl.O(d1) = 36974538 Dl.O(d2) = 22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,3770939,3770938,6027633,8618132,12687242,17908537,254584548 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223145, s2 = 11646796, int(edited[s2]) = 0 s1 = 11223145, s2 = 11646796, d1 = 30, d2 = 27 Dl.O(d1) = 257662861,23982980,23982979,23797178,23797179,31283254,31479879,31479880,40164672,38835559,38835558,47923427,258114177 Dl.O(d2) = 256045176,17885635,24263877,19235493,254656606,33701523,25895432,19235497,13742814,9415814,6169219,6169218,9415812,13742809,19235492,14193934,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,17870584,24247526,29509137,22393138,22393139,26151301,21149212,21149211,16233412,16233408,22393149,28416450,21194410,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,25133576,18580087,13203904,13203903,18580084,25133568,32837727,28954246,21673662,15635965,13925064,9558048,9558050,13925069,19457851,26157099,33998964,37888625,43059183,42372265,33383266,33383265,28954262,28954261,25895868,24910429,18405341,18405340,19461827,13927742,9559557,6272549,3927269,2351071,2351070,3927248,6272497,9559464,13546154,18983177,17069873,11980709,11980713,17069836,15090787,10408076,6860832,6860830,10408071,15090774,255149266,21640137,28914409,29366106,255278594,38667554,30090435,22708870,255257880,7649999,6038200,3777539,3777541,6038222,9221127,11499511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223145, s2 = 11646796, dlinesl.size( ) = 32 s1 = 14052093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14074805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074805, s2 = 11647066, int(edited[s2]) = 0 s1 = 14074805, s2 = 11647066, d1 = 40, d2 = 32 Dl.O(d1) = 1554541,1642420,2830862,4698605,7435794,11206512,11105860,255074639,22109365,29443009,38005886,47921322,59314558,259362679,113602619,261158617,153514419,165308302,176002623,185476212,193743708,273862067,206817199,211761782,215802187,219143769,221964951,224387636,226491744,274513627,231360540,274592665,229771697,228147410,226296714,224171061,221719985,218864269,215482499,211389660,264181081,193159170,184807329,175241659,164462070,152607970,139899999,260527187,98679997,84752771,71184199,270346668,254733539,2661896,254334577,7045037 Dl.O(d2) = 254888160,5687112,254288017,684232,254141885,381413,381414,684229,1212774,2105939,1492321,845049,845050,1492322,2588734,4327178,254719943,15163897,255808735,36816290,46699117,44495924,44495925,47356452,53157775,55342131,48551141,40911494,32133710,32133711,40911496,51053381,62684093,62011607,50519488,50519489,44495756,35118559,27031795,27031796,267934000,43066219,53545251,62684090,55460997,44612533,44612534,40483870,31788843,27031838,27031839,31788845,40483872,35118574,27031811,20139155,14445291,9937605,6531579,4092608,2448524,2448525,4092610,6531582,8608502,12676026,17895400,24275493,27031806,27031805,35118571,35118606,27031831,256222349,44495807,44495777,35118579,268498216,20139156,27031812,35118576,44495770,55341981,67681753,61664339,50178824,50178825,255451764,63925803,63925801,77038565,90919460,102162926,256926932,77038572,77038573,72216990,59479749,48090191,38178411,29611601,22261164,22261163,29611598,30835126,23406219,23406218,30835124,39439174,49368017,60770728,73519883,63925800,52106141,52106140,63925797,70906609,67681772,67681771,81147909,95205360,81202120,81202121,77038562,63925796,52106139,41792164,32871104,32871106,41792172,52106149,53535998,61773639,60770724,49368014,39439173,36651687,28176052,20994676,15080591,254716205,4303262,2572867,1481362,1481363,2572869,2572577,1481221,1481220,2572574,4302707,6856019,4304269,2573448,1481701,837606,472028,472029,837611,1481711,2573462,4304292,6858640,10402080,255011507,20994970,20992498,15078773,10400574,6856003,6856004,10400578,15078781,10404791,10404790,15085030,15085032,10405758,6859511,4305019,4305018,6859506,10402952,10402951,10403968,15083875,20999372,21013227,28173631,20992554,15078827,10400610,6856033,4302713,4302712,5191213,5191212,6856014,10400594,15078812,10404710,6858598,4304271,268684678,15084997,21000928,28182834,255374219,10404263,10404262,15084269,20999956,15085023,10404726,6858605,4304274,4304273,6858603,10400569,10400568,15078768,20992491,28173538,36649019,28176018,28176017,21001004,15085056,10404750,6858621,4304281,4304280,6858617,10404746,15083883,20999163,15086261,15086262,21002391,28182095,28181821,28181820,28185304,36662061,36658338,28181830,28181829,28185250,21002057,21002059,255800927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074805, s2 = 11647066, dlinesl.size( ) = 38 s1 = 10901584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14013898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10902469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15238769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649615, s2 = 11659096, int(edited[s2]) = 0 s1 = 11649615, s2 = 11659096, d1 = 24, d2 = 5 Dl.O(d1) = 260857332,162579108,162579100,150451239,150451240,155193122,155193121,260857330,183401963,173608444,162579103,150451246,150451247,260857322,123681664,260261450,123681667,137412297,137412279,123681652,109490294,95237381,81182228,81182229,95237384,109490299,115241678,101164084,87165937,73547436,73547435,87165935,258390608,142549483,155193120,166884835,173608439,173608440,173608442,260857318,137412285,137412284,271026818,162579098,162579097,150451244,260261440,109490301,95237385,95237386,109490303,123681663,137412291,150451242,137412286,137412284,271026818,162579098,162579097,150451244,137412287,123681657,109490298,109490297,259644816,129172803,115241677,115241676,129172800,137412290,137412289 Dl.O(d2) = 142549482,142549483,155193120,166884835,173608439,173608440,173608442,260857318,137412285,137412284,142549474,155193109,260857316,123681662,109490302,95237385,81182230,67717365,55377582,256894300,29305320,21977732,15882861,15198731,15198732,21154039,28371005,28370447,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949332,23222406,30644880,25960693,25960692,30641495,23218234,16945701,11860029,7926490,7926487,7926595,7926452,7926456,11859829,7926385,7926383,11859823,15027452,20935548,17169008,12072031,8117864,5200682,5200683,8117866,12072038,14487135,14487137,20190935,27089140,28369720,21152828,21152829,19104709,13640368,13640367,19104706,25737724,30645600,23223332,16950163,11862935,7928123,7928124,11862939,11861650,11861649,16945379,11859841,11859842,16945382,15970176,15970177,256922409,271329659,133075249,146302822,158670800,170028308,173178308,262065377,136719392,122887378,108622957,108622958,122887382,136719398,149861952,162075947,173178315,183032433,191645290,191645356,183032478,262558517,261533377,122887396,259759527,80279205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649615, s2 = 11659096, dlinesl.size( ) = 28 s1 = 14147155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147155, s2 = 14095944, int(edited[s2]) = 0 s1 = 14147155, s2 = 14095944, d1 = 22, d2 = 14 Dl.O(d1) = 234846658,233795443,233795444,234846660,235804164,234846646,233795428,233795429,233795448,232640118,231361536,229934484,228326372,226493815,265385404,219145905,215804345,215804347,219145907,221967160,224389849,265716496,274274005,265559265,228326370,229934481,231361530,232640110,233795437,234846656,234846662,233795446,232640117,231361535,229934484,228326372,226493815,265385404,219145905,215804345,215804347,219145907,221967160,224389849,226493824,228326381,274556885,233795462,266115026,231361532,231361530,232640111,233795432,232640106,265993002,229934479,265861262,228326377,229934494,231361553,265861264,226493820,226493821,228326380,229934500,231361532,231361530,232640110,233795437,234846656,234846662,233795446,232640117,231361535,229934484,228326372,228326371,265992999,274596352,231361544,232640129,232640109,231361529,231361528,231361541,229934489,229934490,231361543,232640127,233795426,232640103 Dl.O(d2) = 153519292,261158928,270835464,257504516,47894949,37977581,268631098,16005089,16005088,16005268,258114473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147155, s2 = 14095944, dlinesl.size( ) = 20 s1 = 12046322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12046322, s2 = 11097328, int(edited[s2]) = 0 s1 = 12046322, s2 = 11097328, d1 = 7, d2 = 0 Dl.O(d1) = 2960330,2960335,4911335,7754935,9458265,9151704,9151703,255659839,20204236,22508846,29868327,38429600,48334443,42063051,41157579,41157580,51342628,42893133,33848629,33848630,34995363,42893146,35256179,29654780,22303101,16157366,11225595,7448447,4706074,4706073,7448446,11225589,16157353,22135793,16019572,16019571,22135792,29471891,25802443,19156008,13678732,9367292,6135724,3838666,3838665,6135723,9367291,13678730,19156003,19155977,13678718,13678719,19155981,25802401,33599354,25802388,19155972,19155973,25802389,33237669,25488430,25488429,33237667,25802454,19156013,19156014,25802456,256670525,53071600,42623962,33599424,33599423,42623960,257478799,47565829,58948566,53071538,42623898,33599367,33599368,29109836,29109837,37659719,47565823,58948564,47685191,42247476,37623255,255860889,21774317,29072334,37623259,31395527,31395526,40076857,37762989,255869259,15812327,15812326,21889013,29201579,37762985,47565822,52061663,47565818,47565819,37762975,37762974,47685168,59085033,47685185,37762993,29201584,21889016,15812328,10957889,7253039,7253038,10957887,15812324,21889009,29201570,37762972,37659566,29109689,21810670,21810668,29109686,22167352,16044438,11140486,7389256,7389144,4668026,2812167,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,7338267,4635340,2792267,2792272,4635334,7338297,11067235,11067746,11071742,7341389,7341391,11070234,15951746,15951528,15951531,15160930,15160931,15951644,11081225,7348000,7347906,7347907,11081097,11067939,7338765,7338761,7339068,7339067,7339790,4636176,2792668,1619952,254123247,519448,921298,1619958,2792679,4634135,2791571,2791572,4634139,267972225,11073399,11079694,11079695,15963559,22055386,15955959,15955960,254515754,11070359,11070360,11072377,7341812,4637331,4637333,7338772,4635611,4635610,4635635,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792179,2792182,4635194,7338073,7338131,11067010,15947666,22043827,22043826,29374618,37939305,29379547,22049153,15945967,15945968,22049154,254815006,11074757,7343418,7343417,9232113,9232115,11061691,7334560,7334561,7342821,11058771,11073980,11060582,7333895,4632825,4632826,7333899,11060597,11077117,11077115,15955289,11072931,7342173,7342177,4992972,3016469,1752732,1752735,3016486,4993010,7866078,11781385,11050275,7333682,4632729,2790833,2790834,4632734,7333702,9232168,9232164,9232398,13494770,10690871,10690870,15461636,21461919,16129690,16129688,18921467,13489162,13489161,18921459,22070744,22070742,29401218,37940717,37940718,29391370,22060859,22060861,15956516,15956515,15956304,15956306,22060627,29390853,29392851,29392850,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,16129878,22271549,25537159,25540743,33302872,29390448,29390449,34595073,34595072 Dl.O(d2) = 37940718,29391370,22060859,22060861,15956516,15956515,15956304,15956306,22060627,29390853,29392851,29392850,30521032,30521027,34581581,26594327,26594323,34581484,26594259,19788843,19788848,26594278,26668187,33304134,25542322,18929673,13494883,9232486,6046442,3783129,2266205,1314585,750287,750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,6407909,6407911,9745063,14175201,19789772,26595255,26226491,19511512,18842695,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,7574554,7574558,11206189,7435599,4698494,4698496,7435608,11206139,11206137,16131640,22065512,21193691,21193688,16131287,11205912,9745606,6408252,6408253,4698406,4698403,4698358,4698353,4698037,4020399,4020401,6408392,6429276,7094681,7094683,6406869,6406867,7435691,11206325,16131890,254680772,21975987,15881427,13966267,255299531,18886193,13458829,9233205,9233204,13495989,18931192,21244316,254680988,13490566,13490563,12535857,12535856,17719437,22791402,16575349,16575348,22791400,30180514,38763882,37659609,29109788,21810756,15748669,15748670,21810758,29109791,29109725,21810700,15748625,10907235,10907234,7213784,4545175,2732316,1583282,900133,900132,1583278,2732310,4545161,2751766,2751767,4574034,7252992,10957826,15812249,21810721,15748641,10907247,10907246,15748639,21810717,15812305,10957873,7253027,7253028,10957875,15812301,15812294,10957866,10957867,15812296,21888962,256203264,21888897,21888898,21889102,15812385,15812386,21889104,29201689,29213144,29689626,29689627,28488488,21272379,15311296,255821913,29109704,21888920,15812265,10957839,10957838,15812261,15748615,10907223,7213743,7213744,7213767,10907258,15748658,21810739,29109763,37659646,47565735,58948458,58767249,47379976,269320995,70801426,256841164,58084634,58806809,256179858,28968422,21686508,21686507,24365235,268444738,46915649,37038048,32107782,32107783,39359111,39359112,49286108,52107902,52647833,42262196,42262195,256536848,37762945,29201541,21888978,21888977,29201538,37762940,47685139,52107898,41793756,41793755,258380695,63927576,256678950,41730057,41730058,47419526,58806814,52107905,41793763,39215702,30618728,23197524,23197525,30618730,39215704,49142446,60542293,73285929,73285932,64547046,52647840,42262201,42262200,43262182,34172226,26304341,19581304,14028734,9644675,6341263,6341264,9644678,14028740,15812322,21889005,29201560,37762960,43262207,40926469,32148953,24565651,24565650,26304344,29201906,21889238,15812480,15812479,268392847,21810724,21889286,15812516,10958018,10958020,15812520,19864217,19864218,21888999,21889000,29201556,21889041,15812343,10957897,254515343,2751784,1595174,906860,906861,1595177,2751792,254515347,10957940,255433893,29201707,26436061,19697332,14123056,14123057,17931892,12705785,8632489,5613551,3486815,3486816,5613553,8632494,5753892,3582986,2135239,2135240,3582988,5753896,8830270,7050549,7050548,10674506,15370532,10620679,7009221,7009220,10620677,12795005,8698942,5852800,5629528,5629527,5852807,8965625,12736233,8654762,8654763,12736235,16758983,14253777,14253778,19897458,25049809,32366665,24750046,18276255,12971570,8829483,5753413,5753414,8829486,12971573,18225103,23361713,29061881,32739827,39389349,32370992,24752614,18277955,268278863,12972713,12972714,8965617,8965618,13153748,18512689,14253783,9797204,6440244,6440245,254967653,15709455,10874978,7190098,4529794,4529793,7190097,10874976,15709452,15894320,21991941,21766217,21766218,21365188,15385945,10874919,10874918,13153722,11981781,11981782,17070721,23337032,30759769,255614410,12005992,8061893,5154494,3138305,3138304,5154490,8061883,12005980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12046322, s2 = 11097328, dlinesl.size( ) = 2 s1 = 12046322, s2 = 11097328, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12046322, Dl.E( ) = 14, 1.1e-05 seconds used appending s1 = 11445123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445123, s2 = 11264454, int(edited[s2]) = 0 s1 = 11445123, s2 = 11264454, d1 = 20, d2 = 34 Dl.O(d1) = 260285594,259042878 Dl.O(d2) = 105908837,256136656,268749739,13513042,9246154,6055654,3789321,3789322,6055660,9246166,8375573,5405417,5405419,8375567,12393643,9263677,8382674,5409527,5409528,8382678,12403605,17575451,21248544,21248545,17579187,17579186,15304926,15304925,15803243,15464377,10692974,10692973,7064340,7064338,10693003,11244404,15305217,10569159,10569160,12370195,10547502,6956171,6956168,6956176,4370628,4370629,6956186,10547527,8721937,8721938,10557860,8277905,5340990,5340989,8277900,12257156,8385958,8385959,12399793,8379953,5408010,5408012,6068294,3796783,2274191,2274192,3796791,6049342,9236377,10548047,15282312,11748329,8385304,8385302,8404700,8280541,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,5605716,8622043,12691983,16650601,16650602,255268342,22878914,30276192,23893625,17547461,17547460,255508668,256997036,257577473,72995415,260649801,272730946,189938151,181069228,258447560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445123, s2 = 11264454, dlinesl.size( ) = 26 s1 = 11280699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280699, s2 = 11491972, int(edited[s2]) = 0 s1 = 11280699, s2 = 11491972, d1 = 46, d2 = 64 Dl.O(d1) = 114452043,272896970 Dl.O(d2) = 216127093,265181862,211695730,211695729,215744417,216127098,265009023,221919794,274187072,211695730,264191764,2761072,1600581,910025,910021,1600567,2761038,4589231,7277014,8624040,7173348,7173349,10850624,15673785,16810531,12196029,8226256,8226259,6855208,4302217,4302176,4302179,6855147,10399173,15076812,10494203,10494201,15213463,11750771,7845737,4980227,3008346,1747590,993799,993800,1747597,3008359,4980259,7845799,8611408,5596893,3473479,2060484,2060485,2761114,1600605,910035,910037,1085941,1085943,1902352,3241892,5290471,8220557,12190378,17315003,23630941,28391017,28391016,32172183,24586219,18141923,18141922,24586217,28171027,28171028,28952823,28952825,37495379,37546893,268425738,255813559,21171737,28390902,28736284,37268281,39797508,31116956,255813020,17315002,12190371,12190368,16804517,13194629,8994962,5872667,5872668,8994967,13194641,18567736,25118845,255999710,35048294,44422896,55270102,44422799,44422798,40488657,31793628,26967701,20082588,14398937,14398938,20082592,26967709,35048629,27150240,27150242,28951643,28951644,37494067,46766084,41403200,32545435,32545434,37574156,37574157,47479989,55270335,47764249,37841545,37841546,47764250,55270228,44423375,35048758,26967816,20082667,20082669,21950681,21949664,15859579,10992425,10992427,15859585,21949682,29272695,30743319,39342318,38995387,30406036,23597781,23597785,29020253,29020256,37566828,47473112,47498079,37880997,37880994,47498102,58878120,61967799,258914737,74766930,71420199,71420198,58869592,47488150,47488151,58869594,48021867,48021866,257682749,255591239,12646974,12646973,17858750,24232289,31742039,40436215,39759097,39759095,47480261,39784667,31105511,31105509,31746890,39215045,38892655,30306805,22907528,22205804,22205805,16250485,16250483,21749760,21749763,29042419,37546539,37556889,29010686,21731981,15684255,15684257,21731991,24232226,22906566,22906568,30305732,29001053,21715743,21715740,21726564,21726561,29014190,21730806,21730802,21734575,21734572,29024318,21752456,15699141,15699143,21732964,29019183,22675662,22675661,30051576,31751694,29025781,21735777,21735779,29025788,37559551,29013225,29012450,29012448,37558777,38782219,47472137,37565498,29018909,21730287,21730290,21739067,15689202,255423801,29029930,24231300,24231299,30581143,24227572,17855561,17855560,16378447,16378446,12644912,12644913,17855355,24227268,21724385,15679100,15679097,21716966,15673275,10850336,10850335,10857738,10857742,15683944,15690960,21719539,15675517,15675520,21719496,21719493,15696091,10865741,7184060,7184063,10865752,15696103,21748471,29041101,37572063,31060864,31060865,31060875,257046227,257473021,257099313,31741207,255591161,12646697,255200981,24231522,31741204,40435505,50472912,47455980,256551232,21716582,21716583,29002207,21716693,255050745,10850195,15673088,21716689,22906563,29042490,37589916,37567665,29021073,29021071,29039628,37587207,257474429,37593046,29045356,21752333,21752334,29000911,29000912,37546503,38892671,38892672,40431718,40431717,37572433,30306358,30306359,268962105,31738759,24229666,17856946,12645810,8586213,8586214,12645812,15695469,10865397,7183839,7183842,10865408,15695485,21716760,20990375,20990378,20990400,15673162,15673159,21716793,21726564,21726561,29014190,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280699, s2 = 11491972, dlinesl.size( ) = 68 s1 = 11654819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654819, s2 = 11412538, int(edited[s2]) = 0 s1 = 11654819, s2 = 11412538, d1 = 14, d2 = 21 Dl.O(d1) = 262883329 Dl.O(d2) = 196237064,202979166,264847969,220226727,222898996,265623619,228947877,230489433,274572514,228947879,227200973,225200579,225200580,274530770,263008656,262061398,30465871,39055988,35131834,27046278,20153800,20153799,22910181,24990371,32051087,40811041,40455668,39056004,39056003,48978242,51138067,51138068,257223248,48978247,257901383,44347167,44347165,55197815,67541817,67541807,55197803,49716574,49716576,55197799,67541802,81011514,67541742,67541741,257517064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654819, s2 = 11412538, dlinesl.size( ) = 26 s1 = 14071717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14015243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10929256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11025385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14164047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14164047, s2 = 11262462, int(edited[s2]) = 0 s1 = 14164047, s2 = 11262462, d1 = 69, d2 = 49 Dl.O(d1) = 258796990,49049139,256439832,23105022,16847353,11781743,8901277,8901276,13062642,13062285,12369786,8358607,5395191,3317672,1951794,1951797,3317684,4125360,4125359,6584271,10017560,6584316,4125380,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404338,8373903,8370721,5402352,3326787,3326784,1960590,1119992,628457,349161,349158,628521,1120120,1960800,3333991,5023397,5023403,5023402,5407709,4874465,4874466,7701919,6048986,254166972,12407794,8385838,5411384,5411383,8385836,12382369,12371724,8359877,8359880,12371733,17540377,23716842,23716843,23727567,17554558,12384048,8368428,8368426,11824901,11824900,12400449,16650303,11618091,7737199,7737201,7269647,7269652,8367981,12383387,12391538,15387076,15387072,17396188,12259338,8279334,5341883,5341884,8279338,12259348,12258329,12258331,17394833,17574637,17400174,17400175,23724024,25571170,25571171,24218677,17848351,17848350,24218676,28648207,21406183,15418479,10658372,10658368,7038494,4428818,2658158,1537995,1537996,2658161,4428822,254732967,15418477,255476434,13693532,13693533,14490150,9969919,6552388,4104860,4104859,4104959,6552562,9970207,14490568,20195600,16279548,11320491,11042479,7317037,4619113,2781358,2781359,4619119,7317052,11042507,15920156,16360080,16360078,14490036,14490034,255067392,11319674,7516637,4751742,4751743,4104884,4104883,6552427,6552354,6552353,4104850,4104847,6552361,9969872,14490074,16278935,16278934,21608150,21608149,28884142,25014751,18485766,13133146,8950732,6802718,5842221,5842222,8950759,13133196,18485868,25014904,28035891,36498920,31098641,23614941,23614942,27203407,27203409,21510528,21510529,15501288,15501289,254421870,37305222,254602150,71333732,59601263,49265030,39338948,39338949,49265032,52767584,42368325,42368326,50187046,40162801,31478208,23981480,17634787,17634790,23981488,30839083,23409663,23409662,30839077,23992328,17647810,17647809,23992325,31489688,40174888,39776926,31098682,31098684,39776935,49796752,50201115,51057327,42629282,33604468,33604467,37730399,29170037,21860583,15788274,15788273,21860581,29170031,37730394,34656988,26665372,26665373,34656991,39507397,39507398,49438355,50182570,40157914,31473590,23977328,23977326,31473587,40157911,49371019,48725552,38804860,30221352,28771122,21510130,21510129,23976630,254600228,12449958,17629024,23976640,31472838,40157088,50181834,50311980,50311979,46820494,46820493,58186772,50182513,40157854,40157855,48006408,38094895,38094894,48006406,255186196,58004872,52387947,254858398,25362373,18779695,18779696,25362374,33095836,42043877,52387954,268114442,49419708,49419707,254857880,50192790,40168659,40168660,50187866,48328907,38420590,29852544,29852543,30740998,30741000,35364318,31020097,23538993,17231003,17231001,22377857,16221677,11276798,11276797,16221674,22377846,21837147,21837146,29144765,31468104,23972489,17624213,12443707,12443706,17624204,23972468,31468074,40151916,50177215,42368388,33379396,25613835,19000396,17640671,17640667,23986438,31469874,31483383,39035213,30740858,30740811,254135840,17630511,12452028,12452029,17630513,23977755,31474106,38020691,29458801,29458800,38020688,38250598,29685533,22333466,16186497,16186494,254861536,255056525,10914939,15760411,21828200,29135210,29647362,22295270,16150184,16150186,255084974,260608345 Dl.O(d2) = 61419377,61419379,74197925,65186600,270556153,65186600,269509522,25916535,25916534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11692963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11170165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100531, s2 = 11407776, int(edited[s2]) = 0 s1 = 14100531, s2 = 11407776, d1 = 11, d2 = 9 Dl.O(d1) = 261063953,262138061,273318655,192561119,199834211,273908407,265069541,274028695 Dl.O(d2) = 168965640,157500798,145065501,131805894,117977769,103831150,89725780,89725781,103831153,117977773,261374341,157500815,168965662,179254695,188308477,262880052,168965656,168965699,262880054,261913190,131805899,131805898,145065509,262415187,179254688,188308475,196193493,202939720,196193503,196193501,188308483,179254697,168965663,168965662,179254695,188308477,263677477,202939722,208594102,208594115,202939742,202939740,208594112,213241081,208594090,202939702,196193470,188308454,179254672,168965640,157500798,157500797,168965638,179254674,263677473,202939712,208594094,264019416,188308474,179254684,272951652,145065508,145065509,262415187,179254688,188308475,196193493,202939720,196193503,196193501,188308483,179254697,168965663,168965662,179254695,188308480,196193496,202939726,208594081,202939690,196193456,188308441,262880048,157500790,157500789,168965623,179254660,168965660,157500814,157500815,168965662,179254695,188308477,263677477,202939722,208594102,208594115,202939742,202939740,208594112,213241081,208594090,202939702,196193470,188308454,179254672,168965640,157500798,157500799,157500820,145065513,131805903,131805904,145065516,157500823,157500827,145065518,131805908,117977775,103831156,89725782,89725781,103831153,117977773,131805901,145065511,157500817,168965667,179254707,188308489,264019413,202939737,196193511,188308491,188308492,179254737,168965700,157500848,145065531,131805915,131805914,145065528,157500845,168965695,179254732,188308524,196193552,202939707,196193474,188308455,179254672,168965640,157500798,157500799,157500820,145065513,131805903,131805904,145065516,157500823,157500827,145065518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100531, s2 = 11407776, dlinesl.size( ) = 12 s1 = 14118857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14029573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10965303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10975350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10975350, s2 = 10153596, int(edited[s2]) = 0 s1 = 10975350, s2 = 10153596, d1 = 51, d2 = 0 Dl.O(d1) = 133860042,260279049,105761262,260874559,147102895,262476141,170813180,159476150,147102893,133860036 Dl.O(d2) = 28992929,21708576,15666735,10845554,7169755,7169756,254562369,3057982,3057983,3084182,1800169,1790254,1020908,575521,575520,1021380,1025374,1025372,1796957,1790879,1790878,1781462,1781463,1795442,3077149,5048774,5048775,5063736,5041155,3052019,1802745,1801542,1801544,3066686,254257048,5078373,7957680,254377661,1787525,1019207,1019206,1787522,1787616,1019260,574358,574357,1019258,1787613,3060485,5051518,7943118,11881522,11900872,16956447,11868639,11211511,7438957,4700506,4700505,5059007,4700965,4700969,2832179,2832176,4701001,4701055,5091223,5053927,3665689,3089688,3089689,5091239,5048623,5048622,6889201,6889200,10450663,15153429,11930665,7983846,5081282,3081868,3081867,5081278,5057065,5057062,7951198,11891492,15816460,16972984,11909238,7965952,5067983,5067984,7965954,11394074,7570364,267902078,11930726,17015379,17012161,11926485,7980263,7980265,11926488,11892467,7951944,7951946,5082281,5082279,7985522,7997457,7997456,11947596,254384264,7789475,4938795,2980256,2980257,3082370,5082200,7985413,11932615,15669868,10847981,10847982,15669872,11905394,11905395,11867106,11867108,16719160,16971278,16972610,16973607,11925698,11925701,16140207,17013176,17013175,17011071,11925184,7979109,7979106,5092929,5092927,8000269,11928528,11928530,17013741,16140775,11898659,11898657,15654676,10835736,10835735,15654673,16996009,16996010,18822604,17018546,11934585,7987060,7987061,11934589,11937339,11937338,17015696,13409915,11868759,10472713,6905234,4337116,4337117,6905242,7406109,7406107,11164748,16077671,17024949,16077759,254567442,5050808,5050809,7941933,7980377,7980376,11894412,11894413,7955726,7955727,11897044,11894627,254383284,7977926,7977928,11923943,11927969,16974996,11887804,11887803,16974992,23242559,17036545,16976151,11953175,8001721,5094037,5094036,8001718,11953172,16988550,11903282,267901764,5064209,7961146,11894369,12154312,8184799,5254379,3210971,3210970,5079254,3080780,3080783,5079280,7962539,5065339,3069545,1789635,1020509,1020507,1789630,3069532,5065305,7962476,11904894,7985622,5082338,3082450,1798811,1798809,3082445,5082329,5080980,5080981,7983368,11867995,11867997,11940971,16961179,23231319,16962712,16962713,11883021,7944290,7944288,7791581,4940179,2981100,2981097,4940166,5080494,3081474,3081478,5080465,5080026,3081194,3081191,3081210,3081207,5080047,7981960,7982859,7982858,7983912,5081327,3081891,3081892,5081330,7983924,11930759,11890962,7950752,7950750,11890958,16977812,17014888,11930019,11893677,7952916,5080888,3081679,1798435,1798433,3081671,5080872,5051675,5051673,7943354,8071309,7939841,7939838,11876982,11876995,11878388,254380704,5050195,3087032,3087031,5087925,7959401,11901250,16986612,20142941,16077532,11942128,11942127,16985142,16985143,19536022,17029210,11944102,254257396,254257398,16980040,11893398,7952713,5058118,5058115,7940590,5050077,5050076,7940588,11878109,16966237,11936789,7988708,7988709,11936791,254572334,11922178,17008463,12357590,8349430,8349431,7944946,5052679,5052630,5052629,7944865,11883816,11943211,7993946,5088623,5088624,7993950,11943216,17028155,23287218,30702957,23363732,23363733,254256690,23267598,23247796,16982988,16982987,17003627,11916569,7971425,5072225,5072228,7971400,5072210,3075375,3075376,5072212,254258304,7941294,8353373,5391743,3315469,3315468,5391740,8353369,12125804,11993190,8044780,8044779,11993184,16967848,11879809,7941807,7941808,7948617,5054992,3062389,1785115,1785117,3062417,5055048,7948690,11888772,16971228,17529296,21775767,17096761,17096758,16977851,11891023,11869287,11869286,16957040,11894649,11894650,16981161,21024660,15653408,10834559,7161989,4510815,2710570,2710569,3079538,3079537,5077485,7978242,8070302,254825251,11311554,255094013,22436085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10975350, s2 = 10153596, dlinesl.size( ) = 48 s1 = 14482977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13159362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9060202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11694637, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 118380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 118380, s2 = 11000780, int(edited[s2]) = 0 s1 = 118380, s2 = 11000780, d1 = 8, d2 = 6 Dl.O(d1) = 2642240,1526610,865807,491031,275775,152356 Dl.O(d2) = 2312835,3822060,3928885,3876658,2351179,254147994,254302148,19462452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 118380, s2 = 11000780, dlinesl.size( ) = 10 s1 = 14952914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13162498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6495823, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13166130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13166130, s2 = 168207, int(edited[s2]) = 0 s1 = 13166130, s2 = 168207, d1 = 6, d2 = 0 Dl.O(d1) = 267814451,773897,439436,439434 Dl.O(d2) = 3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914800,6252966,3914528,3914530,6252972,9532194,255295365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13166130, s2 = 168207, dlinesl.size( ) = 2 s1 = 13166130, s2 = 168207, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13166130, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 6502638, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13170850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13170850, s2 = 10135505, int(edited[s2]) = 0 s1 = 13170850, s2 = 10135505, d1 = 12, d2 = 11 Dl.O(d1) = 10414776,255361133,10338217,6836138,4289325,4289326,6836139,8472659,8472656,10363474,12660305,9093685,5949214,5949215,6843376,6843378,5591903,5591902,6843360,6843327,4294022,4294024,5206489,5206491,254830337,17186785,13685418,9372089,6139122,3841014,2301324 Dl.O(d2) = 1359266,2346598,3920104,6261581,9543674,13906041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13170850, s2 = 10135505, dlinesl.size( ) = 12 s1 = 10135504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10135504, s2 = 13170849, int(edited[s2]) = 0 s1 = 10135504, s2 = 13170849, d1 = 2, d2 = 7 Dl.O(d1) = 33369799,25605109,18992641,13553157,9278414,6077577 Dl.O(d2) = 3829241,3801996,3801998,6076514,9276784,13551015,9459602,9459601,13795075,13634345,9336191,254830336,19063801,14598326,10044935,10044934,14598291,14598289,17864522,14915049,10255633,6738932,4222615,4222614,6738953,10255673,14915112,20810952,27280570,28900223,21625157,21625156,20838665,20838663,255361132,11937761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10135504, s2 = 13170849, dlinesl.size( ) = 2 s1 = 10135504, s2 = 13170849, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10135504, Dl.E( ) = 12, 1.38e-05 seconds used appending s1 = 13182794, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7803820, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16288974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13177902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13177902, s2 = 151022, int(edited[s2]) = 0 s1 = 13177902, s2 = 151022, d1 = 3, d2 = 1 Dl.O(d1) = 2178363,1262401,1262402,2178365,3644005,5838948,8944838,8711671,5670980,3527487,2099419,2099422,3527511,5671046,8711800,5675003 Dl.O(d2) = 3529697,3529702,5674937,8718307,6783679,6783676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13177902, s2 = 151022, dlinesl.size( ) = 2 s1 = 13177902, s2 = 151022, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13177902, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 711813, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13178130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178130, s2 = 14085841, int(edited[s2]) = 0 s1 = 13178130, s2 = 14085841, d1 = 6, d2 = 5 Dl.O(d1) = 258978334,133210349,269047338,90978011,77089219,255230744,267923800,25192787,18631502,13246336,9035561,5903183,3688036,3687436,2207480,1281847,1281845,1282207,733109,417208,417205,733146 Dl.O(d2) = 1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250105,1282891,1283307,1282029,1282027,2207849,3688037,5903185,254143620,18631504,13246337,13246338,18631506,25192793,32903717,37703011,37703010,41828407,52146422,63970573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13178130, s2 = 14085841, dlinesl.size( ) = 8 s1 = 14102166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13178900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178900, s2 = 7914981, int(edited[s2]) = 0 s1 = 13178900, s2 = 7914981, d1 = 15, d2 = 13 Dl.O(d1) = 13815901,9474899,6212580,3888547,2328252,2328253,3888550,6212586,6176463,6176464,9426248,13743600,11155874,9924266,6522592,6522591,9353571,6127516,3833716,2296896,2296899 Dl.O(d2) = 3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,6126824,6097886,6097887,6291842,9421022,9421025,11188804,16108155,22245086,268064426,19439934,26135756,20352384,14608752,10052233,10052231,254837784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13178900, s2 = 7914981, dlinesl.size( ) = 10 s1 = 7914980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7914980, s2 = 13178899, int(edited[s2]) = 0 s1 = 7914980, s2 = 13178899, d1 = 6, d2 = 8 Dl.O(d1) = 254837785,5284152,5284154,8213135,12181638,17304219,19015841,268064427,6825953,6825954,9100629,6389010,6104714,3819726,3819725,5865715,6080382,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949 Dl.O(d2) = 2279855,2279852,3805982,6082480,9285067,10369709,10369832,13609743,13618769,9536949,6256469,3916598,3916596,6256464,3957852,2370277,2370276,3957849,6314673,9613711,13815900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7914980, s2 = 13178899, dlinesl.size( ) = 10 s1 = 13178908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179434, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13179558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179558, s2 = 13191878, int(edited[s2]) = 0 s1 = 13179558, s2 = 13191878, d1 = 9, d2 = 2 Dl.O(d1) = 267749260,2352127,1362546 Dl.O(d2) = 1341715,2285196,3814808,3865125,2345373,254094030,3928606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179558, s2 = 13191878, dlinesl.size( ) = 12 s1 = 13191877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079522, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14482269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14225614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9669288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13190728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13190728, s2 = 13178901, int(edited[s2]) = 0 s1 = 13190728, s2 = 13178901, d1 = 0, d2 = 0 Dl.O(d1) = 259045674,65163546,53178835,42729374,42729373,268750704,25893566,19233928,13741460,254655620,3859686,2312222,2276982,1320437,1320436,2276966,3801383,6075482,6342999,9279578,6078461,254655927,3807354,2280686,2280685,3807352,6084829,9288521,254670624,3978360,6341176,7647045,4838189,4838187,7647041,4841547,2917587,1692444,1692446,1322227,1322222,2279837,3805930,3805949,2279841,2279837,3805930,6082193,6082213,6082210,9284703,13561188,19001972,23485708,17201966,12096687,8135320,267864150,6290896,6290897,9361855,6132163,3836459,3836458,6132161,9361853,13671002,13900275,9538964,254114112,19427409,254303630,30237200,254766082,11593524,16620851,22843939,20899561,14995290,10326118,10326120,14995293,20899554,22763856,16550959,11536012,7674620,4856139,2926447,1697558,1697555,1697573,1697572,2926481,254793377,16551383,255935459,256273697 Dl.O(d2) = 259045674,65163546,53178835,42729374,42729373,268750704,25893566,19233928,13741460,254655620,3859686,2312222,2276982,1320437,1320436,2276966,3801383,6075482,6342999,9279578,6078461,254655927,3807354,2280686,2280685,3807352,6084829,9288521,254670624,3978360,6341176,7647045,4838189,4838187,7647041,4841547,2917587,1692444,1692446,1322227,1322222,2279837,3805930,3805949,2279841,2279837,3805930,6082193,6082213,6082210,9284703,13561188,19001972,23485708,17201966,12096687,8135320,267864150,6290896,6290897,9361855,6132163,3836459,3836458,6132161,9361853,13671002,13900275,9538964,254114112,19427409,254303630,30237200,254766082,11593524,16620851,22843939,20899561,14995290,10326118,10326120,14995293,20899554,22763856,16550959,11536012,7674620,4856139,2926447,1697558,1697555,1697573,1697572,2926481,254793377,16551383,255935459,256273697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13190728, s2 = 13178901, dlinesl.size( ) = 2 s1 = 13190728, s2 = 13178901, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13190728, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13178902, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12361282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13451015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13451015, s2 = 11035828, int(edited[s2]) = 0 s1 = 13451015, s2 = 11035828, d1 = 13, d2 = 14 Dl.O(d1) = 17676055,12499856,8467280,5473152,3367937,3367938,5473154,7377851,7377852,8461814,8461815,12493346,12497954,15128221,10434339,8462406,5468178,5468180,5471391,3366131,3366130,5471389,8465493,5471320,3366066,1980201,1130805,1130808,1980206,3366075,5471336,5467657,3362302,3362301,5467655,8461719,5467621,5467622,8461908,12493420,8462189,8462188,12493637,17667804,256029745,40204087,37509812,28966409,254948232,7157006,4507504,2708574,2708576,2263122,2263124,2263120 Dl.O(d2) = 892409,1569319,2708249,4506879,7156179,10826962,15644280,18909624,18909625,25519262,33279445,37169407,37169408,47061089,58436518,258049342,68057125,256320266,44751841,55660174,257438962,270289576,95574738,98657815,84728320,270809159,84728319,71158436,258049342,270831194 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13451015, s2 = 11035828, dlinesl.size( ) = 2 s1 = 13451015, s2 = 11035828, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13451015, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 864753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11696515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15984508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13193396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13291870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13291870, s2 = 13173474, int(edited[s2]) = 0 s1 = 13291870, s2 = 13173474, d1 = 7, d2 = 4 Dl.O(d1) = 19005098,25619398,255383819,10488186,6915325,254329317,2600674,4343532,3166589,3166590,4343576,6915392,255019137,254721555,4343623,4343622,6915438,4345570,4345567,6916450,4344454,2601374,1501922,851328,254097437,270625,480837,851327,1501921,267823199,2602593,1501763,851216,851215,1501761,254329563,4344575,4344574,4343872,4343873,6915754,4642575,2796348,1622042,1622043,2796349,2795672,1621547,922045,922047,1621552,1058303,595167,331837,182742,100233,55282,55281,100227,182731,182794,182793,331931,595308,1058635,1854724,3167910,4652952,5190945,6917811,6864662 Dl.O(d2) = 4308212,6864667,5189512,3166218,1853523,1853524,3166220,1853581,1057891,1057892,1853584,267839821,7365384,7365385,5189685,3166390,2802171,2802172,2602780,1501907,1501116,1501115,924240,521027,521026,292085,161578,88823,48827,48826,88822,161574,292071,521043,924269,924432,1625745,2802541,4651521,2801873,2801874,4651523,3479758,2801791,254349789,7363920,8619121,7365053,4652536,4652535,7365050,5604099,5190752,4651420,2801793,2801794,2835553,4707000,5190807,4706926,2835497,1644958,935377,935378,1644960,1645029,935413,935416,1645014,1645016,2835588,4644814,2802967,2802966,4652869,7365501,11086583,7352114,4644063,2797397,254349555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13291870, s2 = 13173474, dlinesl.size( ) = 2 s1 = 13291870, s2 = 13173474, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13291870, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 13291802, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13291802, s2 = 7845065, int(edited[s2]) = 0 s1 = 13291802, s2 = 7845065, d1 = 8, d2 = 0 Dl.O(d1) = 18997406,254683044,9281692,9281713,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,453066,453069,799317,1404476,2427806,1685836,958506,958508,1685866,2904166,2904165,2645090,1684713,957931,539772,302477,302478,539782,957960,1684759,2904336,4819551,7617381,7617489,11452290,11452632,14596064,10043409,10043411,14596073,14505164,9981076,7851337,4983693 Dl.O(d2) = 3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010410,4983304,3010254,3010253,4983300,7850784,11758493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13291802, s2 = 7845065, dlinesl.size( ) = 10 s1 = 7845064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7845064, s2 = 13291801, int(edited[s2]) = 0 s1 = 7845064, s2 = 13291801, d1 = 23, d2 = 25 Dl.O(d1) = 27961061,20799218,14905884,10248811,10248812,9003943,5877862,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854 Dl.O(d2) = 3669687,3669683,5877879,5877967,4729577,2849519,1653277,1653275,2849496,4729514,7483894,7253673,7253672,10959035,8514493,5512969,3400207,3400203,5512951,8514455,7013421,4409505,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,4904052,4904051,6431295,254683045,14229297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7845064, s2 = 13291801, dlinesl.size( ) = 26 s1 = 14852752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14852752, s2 = 14120489, int(edited[s2]) = 0 s1 = 14852752, s2 = 14120489, d1 = 95, d2 = 90 Dl.O(d1) = 3082317,3082316,2831899,2831897,4700466,7438890,8069508,5163881,3146747,1840762,1050484,1050486,1840774,3146788,5079305,7945052,7998108,5091508,5091489,5091490,7998084,11948308,268102804,254570272,15669072,10847305,254381240,7985472,254255692,7941894,5050780,5050782,254167742,16967946,11880836,11090541,7973697,7973698,11677410,11677411,7786066,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986525,11884336,11883608,7944734,7944735,11883614,11919876,11876847,7977079,5076415,3078478,3078475,5076428,7977105,8349431,7944946,5052679,5052630,5052629,7944865,11883816,11943211,7993946,7993947,7951976,5057634,5057633,7951974,11873855,7937289,5047543,254252645,1016393,1016392,1017644,1017645,1784493,3061236,5052938,7945384,10328014,14997457,16974090,23236810,16970941,11883180,11883178,11869296,7933339,5044032,5044031,7933336,11869288,9609497,9609498,11895976,7954822,5059568,3065350,3065351,5059570,7954823,11895977,7978689,5077858,5077859,7439002,5074547,3077195,1795465,1795466,3077201,5055464,5055465,7949274,7944556,7944558,11881089,11881090,16969058,16958561,11870664,11870665,16958565,16996149,16996148,21711472 Dl.O(d2) = 269008760,5590240,3468144,2056481,2056480,3468140,5590228,8602587,11946387,11946389,11714187,11714188,16761340,20285850,14555888,10015745,6582894,4124441,2467409,2467408,4124437,3470192,3470194,5593427,8607481,12674594,17893534,24273314,23291730,21168630,15210912,10492507,10492505,10492514,11959611,17047729,23309284,23001852,16762029,11714833,7816486,4958989,4958988,7816480,7816319,7816318,11714616,11714647,7816534,7816531,11714700,12667398,8602578,7816368,7816367,11714677,16761813,23001611,23001580,16761758,11714603,11714604,16761445,11714312,11714311,255509991,30406422,30453883,255512563,255512561,23001863,255126389,7816521,267834731,254101903,254127523,254247895,2994150,2994151,1738818,1738819,2994072,2994130,2994054,2994052,1739152,1739151,2994287,254172195,988271,1739057,2994492,254553931,255126429,268096923,11715656,11715794,11715792,7817213,4959543,4959544,254806331,254370347,1738917,988182,555949,555950,988188,1738926,2994511,4959363,4959412,7817107,11715661,11714893,11714892,255126447,255126443,11715530,11715100,11715101,16762330,11715807,7817238,7817239,11715810,16763214,16763189,11715782,11715781,255510039,11714882,11714884,16762079,16762774,16762773,23002479,30407450,30407459,23002503,255126435,7817003,254806339,11716143,7817512,7817513,11716145,255510157,23002602,23002825,23002826,24010862,17663906,17663905,16762167,11714953,11714952,16762164,11714951,11714949,16762161,23001966,268237969,16763232,21542329,15525731,15525694,268209871,11716140,11716139,268115471,12490855,17663908,15525873,10737780,10737779,15525871,21542454,256877079,255411321,10737574,254504111,4466692,7094305,10737580,15525635,21542237,28809962,23002027,21542398,15525814,11715347,7816902,7816900,11715293,7816876,4959266,255510091,24008365,24008368,23002053,16762298,16045190,11140992,7389591,7389589,11140986,11784342,16762506,16850438,23002144,23002329,16762601,11715318,7816887,4959275,2994449,2994450,4959278,7816893,7816827,7816828,7816846,4959247,4959246,7816841,7868389,7868388,11715442,11715411,7816939,4959300,2994467,2994468,4959303,7816946,11715428,16762488,16762487,23002178,28810028,30407405,29509094,29509095,23002209,23002208,18638090,18638092,22168430,16045219,11141017,7389604,4668343,4668341,7389595,11140998,7868373,7868374,11784306,16850461,16850485,16850486,16762596,16762580,11715304,11715303,16762553,11715284,11715285,16762476,15252848,10522774,10522775,11715286,11715287,16762554,255510109,255510113,256454611,30407281,38996517,40477170,48858310,46827195,39124891,30526605,30407202,24270058,24270059,24008350,17662121,12489683,8459347,8459348,12489688,17662130,24008362,21222439,16762727,16762725,23002436,21856233,17890588,17890587,23335720,17069481,15926086,15926083,22027018,29357422,23108801,16850497,11784330,11784331,16850503,23108809,23811754,17477899,17477898,23002173,23002172,30407195,30407352,24273667,24273665,31786693,256554134,26968065,26968060,20082826,14399084,9904170,9904171,14399086,20082830,26968064,35049103,31297703,23811770,17477909,12322741,12322744,17477912,23811777,31297711,30407182,30407183,38996456,39359335,30758450,23335760,17069512,12672490,12672489,17662136,12489693,8459353,8459354,12489698,17662143,24008381,30358694,23002315,16762588,16762590,17069526,11980324,8028475,5117609,5117610,8028478,256480483,19579260,14026548,14026547,19579257,26302453,34170465,43260607,35343622,254236966,20078169,15062460,15062461,267981287,4872215,7698245,11565979,15658927,10840035,7698181,4872182,4872181,4872645,7698922,11566983,16587103,20060525,14375963,9881936,9881937,14375967,20057479,14372541,14372539,16592178,16592177,256954547,260011191,261188595,141258672,153930656,273868538,263741492,53143427,259069799,106750044,106750043,106750044,121002740,134799253,147917822,147917820,134799252,134799253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14852752, s2 = 14120489, dlinesl.size( ) = 36 s1 = 13204616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13204616, s2 = 14072495, int(edited[s2]) = 0 s1 = 13204616, s2 = 14072495, d1 = 9, d2 = 3 Dl.O(d1) = 13284098,16134104,11207771,7436589,4699080,4699081,7436591,7436694,7436584,7436582,6753564,6753563,10276563,10246078,6732131,4217854,4217853,6732127,10246072,14902013,20356102,254117578,22277201,17984491,12746015,8662027,5634797,5634798,5637162,5636838,3503303,2082381 Dl.O(d2) = 1197237,2082374,2081801,1196983,1196985,2081845,3502441,5635746,5724430,3564021,3564019,5724425,254881923,17984538,24384075,31916505,40631934,50690889,41898929,32960700,25239338,18669695,13277786,9062340,9062342,13277790,13286990,18679902,15017402,10345366,8598888,8598889,10306157,6777788,6777787,10306154,11664401,10328666,6797141,4262161,4262160,6794157,6794158,10325240,9061499,5924929,4308672,3704866,3704865,4249137,6778868,6784055,10313499,8537028,8537029,12584546,17781576,256038267,25285775,256629237,52293843,52293845,52293844,52293845,41952955,257183867,64146112,77295101,77295100,91215309,105437617,119676035,123735069,133551192,146810016,159185278,170526708,173645862,162620628,162620629,173645859,173645858,183435742,180660772,170526709,262584220,123735077,109543404,95288626,81230781,67764751,67764752,81230783,95288630,109543414,123735094,133551205,119676041,105437621,91215312,77295103,64146111,64146112,77295101,257773159,52293843,52293845,52293844,52293845,41952955,257183867,64146112,77295101,77295100,91215309,105437617,119676035,123735069,133551192,146810016,159185278,170526708,173645862,162620628,162620629,173645859,173645858,183435742,180660772,170526709,262584220,123735077,109543404,95288626,81230781,67764751,55424908,44577739,44577738,50010892,39992980,31316164,23826732,23826731,31316163,39992978,36999353,28502184,28502183,36999560,36999404,34975029,34975028,36999563,36999564,31316170,23826737,17489218,12331218,8330149,5376298,5376300,8330155,12331230,15320477,10581717,6980651,6980650,10581715,15320473,21284007,28501944,26894261,20012945,14332941,267945869,4051649,4051648,6466600,9845978,14332933,20012932,26894243,20014222,20014223,26895903,33693606,28000805,20836160,14937244,14937243,14333071,254684557,4051731,4051730,6466627,4052220,4051688,4051685,4051684,6466640,6466598,4051645,2424769,2424768,4051643,4051664,254968659,20012961,14332956,9845993,6466615,6466614,9845992,14332955,20012960,20835850,14937026,10272999,6751187,4230385,2529400,1457665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13204616, s2 = 14072495, dlinesl.size( ) = 2 s1 = 13204616, s2 = 14072495, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13204616, Dl.E( ) = 10, 1e-05 seconds used appending s1 = 13204642, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13204642, s2 = 7833029, int(edited[s2]) = 0 s1 = 13204642, s2 = 7833029, d1 = 87, d2 = 0 Dl.O(d1) = 18302456,18302455,24784110,32408860,256564611,24385502,17985935,12747316,8663121,5635637,3502383,2082369,1197235,674159,674161 Dl.O(d2) = 1197242,2082382,2082340,1197240,1197237,2082374,2081801,1196969,1196970,2081805,3502342,254621239,12747223,17985850,24385412,31917912,40633479,50692518,62212294,70551725,57849907,46493915,46493916,57849908,70551727,74666721,62212292,50692517,40633477,40633478,40633476,40633475,255798382,60665069,49263821,256919574,256881268,46383223,46383222,268924890,258072102,85119842,85119840,85136323,84407848,84407849,89352225,259789044,62648363,51022415,40885405,40885406,51022417,62648369,71566262,71566261,85136325,85787468,72193433,59455589,59455590,258748011,258532410,89352224,89352223,98317779,112300938,258532412,99060577,99060576,112300942,258921438,70850214,62648421,258323381,258921440,70850229,70850230,84407845,89352221,258323379,62648416,75590908,75590901,62648402,51022443,51022442,62648400,62648411,62648410,272468644,51022420,51022419,40885450,40885451,51022462 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7833028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13204960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13204960, s2 = 7876061, int(edited[s2]) = 0 s1 = 13204960, s2 = 7876061, d1 = 11, d2 = 0 Dl.O(d1) = 97794272,111716982,103414026,89320876,75563072,62624210,51001361,40866486,32094832,268460273,18088728,12823960,8718734,5675136,4095672,4095668 Dl.O(d2) = 5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,8718433,9946221,12364213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13204960, s2 = 7876061, dlinesl.size( ) = 2 s1 = 13204960, s2 = 7876061, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13204960, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 7876060, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12109944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7803530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7803530, s2 = 11206750, int(edited[s2]) = 0 s1 = 7803530, s2 = 11206750, d1 = 74, d2 = 25 Dl.O(d1) = 6193484,3876488,2321609,2321608,2160354,2160353,1282843,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841 Dl.O(d2) = 70704248,257409668,256291750,28229187,36722967,257409675,70704251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7803530, s2 = 11206750, dlinesl.size( ) = 2 s1 = 7803530, s2 = 11206750, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 7803530, Dl.E( ) = 82, 3.48e-05 seconds used appending s1 = 13207228, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13208114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12110376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15063696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12110514, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15994730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16285428, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16025339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13222506, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13199203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10146472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146472, s2 = 1834558, int(edited[s2]) = 0 s1 = 10146472, s2 = 1834558, d1 = 11, d2 = 17 Dl.O(d1) = 47981540,47981541,47870165,37952132,31440766,23949122,22149399,16030335,16030334,254880845,8650116,12730138,17964064,24358608,31885744,29586725,29586724,38152889,33417026,25649158,24705006,24705005,31885735,28531750,21309069,21309068,28531747,37029913 Dl.O(d2) = 255249236,24675744,24675746,18210796,12916175,12916174,9485405,9440628,6188637,3873033,2319283,1344513,1344514,1344209,1344213,1344236,1344232,2318577,2341492,2341684,2341687,3911214,6247584,9433986,11713128,7814879,254806177,16760204,255954153,38994361,48918263,60316851,73057891,260051031,114680690,119134406,128577595,128577594,141938940,154583839,166305097,176905084,186282383,185463940,175988776,165292816,153496773,153496772,140815530,140815529,127455081,127455082,113578754,99562170,99562169,99320809,85611795,258113954,47890141,47890140,37971905,29408095,22077475,22077476,29408096,268256120,23263857,17000269,11913884,11913882,17000265,17000210,17000211,23263761,30680355,39277323,39277450,39277449,49204023,49203922,49203923,269334413,37952482,29387674,29387675,37952484,47870515,48838768,43220255,34132338,31585200,31585201,40272292,47870520,39277374,256844336,37952562,47870589,49204266,39277835,38770515,33993649,26152102,26152100,33993645,43052542,39277415,39277414,49203991,268293302,37125969,30680480,30680479,38956199,39277717,30680772,30680771,38770495,30187103,30187104,29387650,29387651,37952433,39277872,39277871,49204317,48733913,38813753,256985541,30680782,23264124,17000462,11914001,11914000,17000459,23264120,30680776,30187131,22797654,22797653,17000555,15953418,15953419,22057367,29387698,37952510,30680586,30680585,39277575,37952547,29387725,22057385,22057387,17825852,17825853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10146472, s2 = 1834558, dlinesl.size( ) = 2 s1 = 10146472, s2 = 1834558, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10146472, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 12361512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13231302, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13231302, s2 = 13373775, int(edited[s2]) = 0 s1 = 13231302, s2 = 13373775, d1 = 0, d2 = 3 Dl.O(d1) = 13860923,9508452,6236405 Dl.O(d2) = 6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508429,13184166,9508303,9508302,13860598,19377110,16183536,11249276,11249277,13860000,13674441,13674440,16183545,16183544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13231302, s2 = 13373775, dlinesl.size( ) = 2 s1 = 13231302, s2 = 13373775, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13231302, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11698843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12112646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14226260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10172715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14226476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15114422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14226540, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7910130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7910130, s2 = 10941885, int(edited[s2]) = 0 s1 = 7910130, s2 = 10941885, d1 = 13, d2 = 16 Dl.O(d1) = 269921016,257125860,33625466,25823901,25823900,33625463,257152476,13892092,9532764,6253551,3914799,3914802,6253563,3914805 Dl.O(d2) = 107344920,121725802,135669592,148917057,161230733,172437051,259952240,164792290,164792285,259333638,148917056,148917057,161230733,172437051,259952240,164792291,260552786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7910130, s2 = 10941885, dlinesl.size( ) = 20 s1 = 13256976, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9085304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13259403, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 9077280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13260468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13260468, s2 = 7876924, int(edited[s2]) = 0 s1 = 13260468, s2 = 7876924, d1 = 30, d2 = 64 Dl.O(d1) = 40877539,32105158,32105157,37201457,47097425,258056645,79251398,79251402,79251403,270068927,65887897,79251443,89334506,270967663,79251391,65887850,53820035,43295101,34197512,26324730,19598017,19598018,26324732,34197514,34197526,26324738,19598020,19598019,14042377,9655235,9655234,14042374,19598025,256184483 Dl.O(d2) = 85907290,72313830,59579182,57829582,48192719,48192720,59579156,64265813,52410411,52410413,64265823,57829560,57829557,70531151,72890974,60155131,48761391,48761392,46473584,39509609,30901832,23467769,23467768,30901827,39509599,49440814,46473517,46473516,52410446,53319793,53319792,52410461,42066583,42066582,52410456,64265877,72972350,72972352,86570378,81753067,68228062,55800403,44870908,44870906,55800395,68228052,78617227,78617229,72313842,59579191,48192748,38283361,29716695,29716694,38283355,48192738,59579177,70531096,70531097,70531195,70531194,61246912,61246911,70531045,60244550,48851314,38931559,38931561,36921225,36921224,36607295,33688734,33688732,40227341,40227340,50247197,50247201,42856919,33815576,33815575,38735756,42856883,47995315,59384611,60235360,48841077,38920574,38920575,48841079,53320332,42857543,42857542,53320324,50068002,40048687,40048688,48841421,38920895,30334478,30334479,38920902,38920907,38920904,48841452,53320175,53320177,53320191,57829595,53319350,42856432,42856431,53319348,59579321,58166417,46799076,36921235,28423067,28423068,36921240,33688737,33688736,42718830,48192600,53319816,42856930,33815570,25998694,25998692,33815562,42856907,42941112,38283562,38283563,33815698,25998782,25998783,33815702,42857114,53319958,46284647,46284645,42856892,33815551,33815082,33815084,42856473,48841408,48841409,48192953,48192954,53319927,42857383,33815971,33815972,42857390,33815976,33815977,33815064,33815063,42856443,48379503,48379502,59762197,67802433,67802432,60244589,53168329,42718827,42718828,42857792,33816307,33816305,29918113,22559627,22559626,29918108,38477126,48379227,42857783,42857782,53319897,42857024,42857023,42066622,42066624,49767988,61246859,70320137,65319431,65319212,53319754,53319753,65319195,78616997,78616998,85098140,86576184,72978633,60242406,53320162,42857374,42857375,53320165,53319338,42856427,33815057,33815056,42856423,48379507,38477385,38477383,48379516,48852287,38932795,38477365,38477364,33816320,25999286,19327159,19327160,22559640,16380941,16380940,22559634,29918132,38477166,33816359,33816361,42857066,42857067,53319615,42856700,33815316,33815314,42798937,42798939,53251359,53320123,53319511,53319510,65319055,78617067,65319088,53319551,53319552,60242411,48848771,38928731,38928729,42857502,53320294,48851265,47284373,47284374,53251338,42857312,42857314,48379651,38477489,33810835,25994293,25994294,22945588,22945589,30346956,25341024,25341025,33070766,29918136,29918135,38477175,48379251,59761990,53320565,53320566,52354075,42014782,42014784,42856708,33815322,25998424,25998423,33815302,30153859,30153858,38736020,48657057,60053521,72792026,65319099,53319558,42856653,42856654,38928743,30342567,22941342,22941341,28834829,35229728,44610784,55459063,55459062,60244575,48851374,38931671,30345756,29918350,25994305,19322851,13817138,13817137,19322844,25341011,18760961,18760963,25341019,33070754,34315330,34315331,38929114,42856714,42852009,33810875,25998922,19326912,19326911,25998429,19326576,13820319,13820320,19326581,22765756,16552132,16552133,22765765,30153874,38736040,48657077,60053533,48848815,38928766,30342585,22941351,16705627,16705626,20228930,20228927,27135191,27135192,35229584,44610598,38931674,30345760,22944410,22944411,30345691,30345692,38931623,33810822,33810823,42851974,42014741,42014740,52354035,52354056,42856720,33815335,25998444,25998443,30342698,30342699,30342946,25998909,25998406,19326567,13820312,9478343,9478342,13820305,16552148,11536828,11536827,16552141,22765777,30153882,30343204,38929295,48849291,48848811,38928755,30342577,27135332,20228937,14515940,14515941,20228862,20228864,27135201,35229592,30345771,22944414,16708373,16708374,22944339,30345524,38931490,48851258,48851278,48851279,48851394,52354032,42857722,33816246,33815340,25998448,19326593,19326595,22941456,16705890,16705889,22941683,30342491,25998394,19326552,13820298,13820295,19326547,22765773,16552139,16552137,22765769,22941982,16706141,16706142,22941986,30343214,33815206,25998282,25998281,27135360,20228956,14515948,14515949,19326891,25998880,22944275,16708245,16708242,11667695,7777822,7777824,11667630,16708124,22944159,22944348,30345545,38931509,44610611,48851356,38933274,38933275,38928871,30342709,22941464,16705729,11665526,11665527,16705734,22941263,16705575,11665438,11665441,16705585,11665793,11665796,16706182,22942048,23858253,22941785,16705975,11665662,11665663,16705980,22941795,30343057,25998518,25998517,21671479,21671481,20228946,20228947,21678328,16708258,11667589,7777751,7777732,4929295,2973313,2973315,4929263,7777780,11667642,16708316,22944354,30345540,30345539,30345732,22944379,22944380,17282947,12161954,8192446,5261949,4928048,4928047,7776127,11665540,16705754,22941494,22942082,16706212,16706211,22942079,30343298,30342614,30342613,22941816,16705995,13462186,13462187,16706015,22941838,20229734,20229736,22946265,22946263,30345489,22944125,16708083,16708082,11667775,7777879,4929329,2973327,1725484,980959,980961,1725491,2973338,4929343,7776220,11665720,11665816,11665815,7778876,7778877,11669064,16706224,22942097,22941429,16705700,16705678,16705676,16705684,13359270,13359269,16706246,11669081,11669083,16705485,15634613,15634567,10819365,10819369,15634580,18760876,13359241,9130031,9130030,12161962,14516505,14516506,20229745,21671495,17257861,16509593,11667445,7777667,7777666,10822273,7152151,7152142,7152140,7777647,4929202,4929203,7777656,11667415,7777717,4929231,4929230,7777712,4930024,4930020,7778859,11669038,16709999,22941143,16705511,11665400,11665401,15939962,15634496,15634495,11665840,7776279,7776278,10819302,7150377,4502876,4502872,7150366,9986694,9986693,14513373,20225334,17282968,17257845,12137930,8167884,5237401,3197073,3197076,5237410,268051632,22944607,255763948,255487902,14516690,9988921,254361724,4112863,6565122,9988852,9990473,14519105,20233376,26636214,33510334,33510333,38860229,38860230,32352119,255258024,12959388,12957224,12957223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13260468, s2 = 7876924, dlinesl.size( ) = 2 s1 = 13260468, s2 = 7876924, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13260468, Dl.E( ) = 66, 4.01e-05 seconds used appending s1 = 13269558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13269894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8000666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8000666, s2 = 13269893, int(edited[s2]) = 0 s1 = 8000666, s2 = 13269893, d1 = 1, d2 = 1 Dl.O(d1) = 260669715,100941861,86958226,73346811,258829921,100941863,260070441,86958238,86958237,86958236,260070449,115777002,260669721,260669719,128898013,114995994,100941860,100941859,114995992,128898020,142249740,149119014,161405959,160257199,149119018,135898617,260346107,93206031,79090951,257851005,257851007,79090953,79090944,65735290,65735291,65735297,53679206,53679205,65735295,79090957,93206022,79090942,79090941,93206020,107606429,271600910,107606448,259690252,65735301,65735302,53679216,43168886,34085473,26224490,256697197,256150610,37851879,35192280,34008795,26167062,26167061,34008791,32810529,255684680,25107991,18558585,13187329,8989542,8989540,13187323,18558574,25107971,23072407,16821788,11763188,11763187,16821786,13121584,13121583,18469730,18214869,15747301,10906413,7213252,7213250,10053984,9975146,9975144,14497071,20203486,27103335,256753603,34093933,26231808,19515865,19515864,26231807,256080782,43070432,34012591,34012593,33685619,33685617,42715726,268013900,31979629,24426032,18013959,255604031,31979631,40726562,34012596 Dl.O(d2) = 260669715,100941861,86958226,73346811,258829921,100941863,260070441,86958238,86958237,86958236,260070449,115777002,260669721,260669719,128898013,114995994,100941860,100941859,114995992,128898020,142249740,149119014,161405959,160257199,149119018,135898617,260346107,93206031,79090951,257851005,257851007,79090953,79090944,65735290,65735291,65735297,53679206,53679205,65735295,79090957,93206022,79090942,79090941,93206020,107606429,271600910,107606448,259690252,65735301,65735302,53679216,43168886,34085473,26224490,256697197,256150610,37851879,35192280,34008795,26167062,26167061,34008791,32810529,255684680,25107991,18558585,13187329,8989542,8989540,13187323,18558574,25107971,23072407,16821788,11763188,11763187,16821786,13121584,13121583,18469730,18214869,15747301,10906413,7213252,7213250,10053984,9975146,9975144,14497071,20203486,27103335,256753603,34093933,26231808,19515865,19515864,26231807,256080782,43070432,34012591,34012593,33685619,33685617,42715726,268013900,31979629,24426032,18013959,255604031,31979631,40726562,34012596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8000666, s2 = 13269893, dlinesl.size( ) = 2 s1 = 8000666, s2 = 13269893, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8000666, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 16303508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13275242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13277950, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9027867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9027867, s2 = 13277949, int(edited[s2]) = 1 s1 = 13430242, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13286690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13286690, s2 = 232507, int(edited[s2]) = 0 s1 = 13286690, s2 = 232507, d1 = 1, d2 = 1 Dl.O(d1) = 24519789,18088555,12823819,8718653,5675094,5675096,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,12809146,12809143,12811078,8710437,8710436,12807460,8708275,8708276,8948050,13129022,18480286 Dl.O(d2) = 24519789,18088555,12823819,8718653,5675094,5675096,6537003,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,12809146,12809143,12811078,8710437,8710436,12807460,8708275,8708276,8948050,13129022,18480286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13286690, s2 = 232507, dlinesl.size( ) = 2 s1 = 13286690, s2 = 232507, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13286690, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 527406, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14503450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13686885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14572726, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13291904, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11702893, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13376376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061905, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13296534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13296534, s2 = 13338883, int(edited[s2]) = 0 s1 = 13296534, s2 = 13338883, d1 = 4, d2 = 5 Dl.O(d1) = 55060818,44229713,34875752,26819866,19955788,14289512,14289513,9830803 Dl.O(d2) = 34937381,26864894,26864893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13296534, s2 = 13338883, dlinesl.size( ) = 2 s1 = 13296534, s2 = 13338883, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13296534, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 14034860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13298904, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13300448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13300448, s2 = 11571430, int(edited[s2]) = 0 s1 = 13300448, s2 = 11571430, d1 = 39, d2 = 20 Dl.O(d1) = 228220299,226378180,265486754,221823734,218980432,215611494,211535379,206546927,200510738,193362249,185032329,185032328,185032331,175492687,164739901,152909349,140219584,126872988,113021010,99033091,85108314,85108313,71536958,58807890,47420614,37512899,28969634,21687802,21687801,28969633,33968844,28970350,21688526,21688527,23703768,17381103,254843115,8272160,12248082,17381111,22696866,17381102,17381101,23703765,17546730,12377015,12377014,12377604,12377603,8622111,5605745,5590108,5590109,8602417,8621702,8621703,12691460,17913744,24296334,28136627,20958599,15049569,10376160,10376159 Dl.O(d2) = 231371089 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13300448, s2 = 11571430, dlinesl.size( ) = 12 s1 = 16340600, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16340600, s2 = 9376244, int(edited[s2]) = 0 s1 = 16340600, s2 = 9376244, d1 = 47, d2 = 45 Dl.O(d1) = 255477711,16375748,22552612,25450204,18852215,13431791,9183346,6010596,3759354,3759355,6010599,9183354,13431804,11137562,11137563,16009466,11114914,8361673,8361671,10536806,10536807,7684437,7684434,5396786,3318551,3318550,2691365,2691363,4479262,2691262,1559066,1559068,886385,886384,1559085,2691286,4479299,7114301,10767518,15567216,21593880,28868657,37409862,47318285,58707166,71438637,85011464,98937049,112926457,126781017,140131472,143132589,129800401,129800402,143132590,140131470,138776767 Dl.O(d2) = 3428123,5542611,8544559,254872253,5558579,3443324,2038411,2004479,1145800,642740,642741,1145803,254192745,364416,364417,657333,1171121,1143145,641222,355889,355893,641227,1143152,1999999,267847189,3438638,3438639,5554268,8557348,8557345,8557344,12608443,16888633,16888635,12581634,12581635,17777309,24141638,31647865,39270517,30674230,30659983,254825318,31788032,38812190,30229415,22837352,22837351,30229413,34256207,26378714,26378715,34256209,257267651,25759396,25759395,26682318,19864065,19520702,13973533,13973532,14231578,19648466,14083310,14083309,16570496,11551553,7685720,4863160,4863159,7685719,11551551,16570492,15966112,11081761,11081762,15966113,22071050,16379458,16379459,11399543,11399539,16379473,22557474,29625094,37456128,28916753,21642259,255261950,29368213,29368214,29374015,22043155,22043156,26704634,19883461,19883460,26704629,34699105,42283257,33302291,30064742,22686662,16487042,11487261,7640417,4833775,4833777,7640421,11487270,13341237,9115128,5963818,4079408,4079411,6509947,9904629,14399762,255743059,35050346,35050345,256632156,35051408,26970002,26970003,23611770,23611769,31095554,37698017,29137273,29137274,28564330,21337489,21337488,28564328,37065991,37888795,29320471,21991650,15894118,15894117,18991711,13552338,13552337,9277801,6077203,3802452,2277581,2277580,267862189,9277797,9290088,9290089,11128457,15771274,10923792,7225600,6123571,6123573,6124175,6383412,6383411,9349045,13622837,13622836,19030694,13583890,9301159,6092820,6092821,9277676,6077121,254655803,6085845,3834480,3834482,6128752,6118035,6111080,3823686,3823688,6111087,9329258,9302305,9302302,9289952,6085612,6085614,6132878,3836897,3836894,3445990,3445991,5561907,8565819,12619030,13640601,13640600,13658391,13658390,19015085,14554118,14554117,10514105,10514106,13616235,15908785,13556942,9281428,6079801,3835269,3835270,6130058,9319815,6105059,5562031,3446061,3446062,5562035,8566046,12619403,16725657,16725653,19081314,25656413,25698923,19073237,15708046,10874067,10874065,13673521,13616550,13616552,13602849,9314478,9314479,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688041,1688039,2909739,4828594,7632167,11474613,16468776,22663458,27213588,31481331,23984635,17638879,12463045,8431696,5443247,5443246,8431692,12463034,13204769,18581488,23765526,19010341,19010340,17136560,17136561,23411717,30841518,33424696,31700397,30406318,28103393,20927262,15019239,10346990,10346993,15019243,20927271,23035958,16791846,11740900,7838815,7838816,9367132,9367131,11307772,16263871,18989032,13568097,9289667,9289665,13568091,19010723,25625458,26637242,25690156,25690157,28975193,21692717,19055819,19055821,20285319,14555324,10015273,10015274,11740832,11740833,16791749,13670164,13670165,19145042,25416745,25416746,27213823,27213822,28714258,37245291,29798465,24250763,18991708,13552334,9277798,9277799,13552335,18991710,25604112,33368718,29709744,22354392,16202980,16202981,22354390,29709740,38276550,48186013,59572054,67708327,65557204,53532362,43052463,35185894,27097109,20197681,14492243,9971399,6553361,6553360,9971397,14492240,20197678,27097105,35185891,44564195,257918375,81218777,95276416,81218778,81218779,91245269,89394723,75633365,62688789,62688790,75633366,89394721,258810094,73264752,60519584,59478892,48089399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16340600, s2 = 9376244, dlinesl.size( ) = 20 s1 = 15457680, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16316606, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15256357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15172558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1465677, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15906769, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14080938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15256366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15256366, s2 = 13498420, int(edited[s2]) = 0 s1 = 15256366, s2 = 13498420, d1 = 11, d2 = 2 Dl.O(d1) = 52771879,64686075,77875555,65979806 Dl.O(d2) = 64700894,77889823,65979823,65979822,77889821,77889822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15256366, s2 = 13498420, dlinesl.size( ) = 2 s1 = 15256366, s2 = 13498420, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15256366, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 13318488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14044834, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14044834, s2 = 7985439, int(edited[s2]) = 0 s1 = 14044834, s2 = 7985439, d1 = 1, d2 = 1 Dl.O(d1) = 10779546,10779547,15582705,21611894,28888097,29906783,23126396,23126395,30544852,28888001,28888002,255518330,15582376,10779253,10779254,10779417,7122466,7122468,10779422,255848167,15582769,15582768,21611972,21611974,21611975,22178542,16052760,11146203,11146206,16052768,21535515,15520662,15520663,21535521,21608700,28882943,28882942,37277868,37277869,47183872,37426753,29521149,22178701,16052879,11146276,7393036,4670661,2814004,2814003,4670657,7393030,11146257,16052848,16127876,11203602,7434046,7434045,11203598,11203654,7434085,7434086,11203660,16127977,22269103,29620099,29332512,29332513,23125565,254373246,37901177,29332524,22001774,22001773,22112582,29446005,22112605,22112606,29446026,255963038,38008272,47923370,38187256,38187257,47923332,38008192,29445794,29445793,267986048,16859272,11791725,11108203,11108202,16000662,22112823,29446179,29482670,22144620,16026091,16026090,22144618,29445525,22112779,22112778,23126554,30544817,23126324,23126325,22112386,16000255,11107928,7367119,4654105,2803823,1626561,924915,521367,292243,292244,521372,924929,1626578,2803852,4654181,7367228,7366957,7366956,11107653,11107684,11108169,16000608,15999038,11107129,11107131,11107328,11803007,7883350,5006545,5006546,7883357,11797382,11797380,16865787,16000376,11108019,11108018,16000067,11107793,7367037,4654064,4654065,7367042,11107806,16000090,22111140,22112169,22112687,254128172,11107976,254173656,7367093,7367092,11107888,11108162,7367246,7367247,11108164,16000599,16861149,11798120,7879316,5003117,5003118,254102472,16866571,23126487,29445950,22112490,16000327,16000329,11798248,11798249,7882161,7882162,11792106,7881707,254373526,16870027,23126610,16866801,16866802,16871626,16871627,22214611,16082988,11169263,7410012,4682173,4682174,7410016,11169271,16083007,16870557,16870555,11802283,11802173,11798330,7879496,5003274,3024147,3024148,5003276,5003296,5003297,5000111,5000113,7875387,5004464,5004462,7880850,5006027,3026560,1760720,1002888,565083,565079,1002875,1760697,3023960,254128454,3021597,254173392,16028898,11129564,7382305,4663960,2809856,1630051,926866,522411,522412,926868,254235221,4663974,4663371,2809505,1758379,1001062,1001058,1758366,3023902,5002982,7409965,4682139,2821063,1636653,1636655,2821070,4682154,7409993,5003761,3024600,3024603,5003769,7382302,7382301,7382396,7882062,5005562,3026249,1760514,1760515,3026265,5005580,254249910,254128334,254128332,254373398,254250006,11802200,16871404,254250008,11801436,7882084,7882085,7882780,6582807,4124385,4124386,6582812,10015659,11129447,7382178,7382177,6582814,6582816,10015672,11129181,11169205,7409944,7409942,7410104,10427671,6875031,4315851,4315847,6875024,7879093,10014821,10014820,7381713,7381711,11128943,11128944,10014830,10014828,14554680,11129039,10014799,10014798,7879991,7879990,11798782,12487995,8458275,8458274,10015477,10015476,10014681,10014680,14554551,16870544,16028031,11128649,11128650,16028032,20285735,16867123,16028320,11128964,7381725,4663515,4663516,5844160,3646905,3646904,5844159,8953791,6583099,6583098,7882928,254696362,6583197,4663771,2809721,1629988,926839,926840,1629993,2809753,4663807,6582287,4663555,4663554,7381783,7381860,7381858,6582239,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,632604,632589,632587,1127938,1975873,3360830,5465463,8458711,12488710,17660643,24006218,31505052,36857732,28359773,21519474,15508300,15508302,21307457,21307456,22647263,16456373,11465975,11465974,16456372,17367191,23689131,21609761,15580832,15580831,21609759,28885770,33564637,25775205,25775206,33564641,33109588,33109587,31178213,28529321,21307043,15337452,15337453,21307045,21138274,21138275,21138272,21138273,28352158,257417647,49884199,40206286,31520329,24018908,24018907,31520328,26904998,20021835,14340147,14340148,20021843,22055811,22055812,24146303,17779957,12583187,12583188,17779963,21306964,21306962,28529231,23038364,23038363,29182463,29182462,23565994,23565993,24113411,24113409,31618676,40306993,41987511,268433782,33043737,33043735,27249722,21044793,18738122,13339442,9114020,9114023,13339451,18738139,25315561,27252245,33042820,35377412,27252666,20319709,14582464,10034133,10034131,14582461,14405690,14405691,20092670,20320311,20320310,27253296,35374741,27250144,20317556,14580837,10033060,6593715,6593714,10033057,14580830,20317552,268556267,29151540,29151539,37711741,47633954,49767479,39748870,39748871,257629621,71778664,258759900,31579901,31579900,31071131,23587624,17275840,12155406,8185772,254391747,3211437,5255116,7203346,4538231,2727823,1580452,1580453,268024896,7203291,255054773,21787452,16292296,11335380,11335378,15728919,15728920,21787462,29085068,28866405,21591793,15853013,10987272,10987273,11732140,7832828,4972065,254248471,990998,990999,1744028,3003108,4971980,6468654,4053190,4053189,6468652,9848770,12299522,12299523,17448513,255529236,35010373,26939172,20056660,20056659,25362291,255973533,21788466,255846582,14384850,9890443,6499002,4072309,4072312,6499012,7571170,7571172,10811797,15625381,10811594,9887258,6496461,6496463,4538414,4538416,4062520,4062519,6483150,9869238,14362556,12308666,8313683,5364362,5364360,8313677,12308655,17459876,14364325,14364324,20050012,268077389,4537674,4537673,2849004,2849003,4728723,7193830,7193829,9888008,9888007,10813807,7146258,6492784,4068342,4068343,4068328,2434429,1407898,802014,454415,256127,141835,77723,77722,141828,256114,454432,802047,1409877,1409934,1409935,2438494,4075467,5362719,3296700,254400335,254105627,189155,189156,344920,345233,621258,1107151,1152483,254184708,1935695,1158567,650023,650021,360565,360570,650065,1158646,2024484,3426127,254446411,2266548,2266547,1705941,1705942,2941664,4029755,3393028,3393029,5504203,3453669,3431559,3431557,5545843,5499573,3389191,1996819,1996817,3389185,5499569,8498118,5540811,3449770,2043364,2043363,1999949,1143116,1143114,1999942,2021557,1156791,1141437,1141438,1764345,1005162,566434,317231,175390,96396,96397,96388,96387,175372,317189,317745,317743,567323,1006633,1149466,644827,357865,357864,644877,1149582,2010347,3407692,5520861,5356208,3292168,1936107,1936103,3292160,3732222,3732221,5356135,3292098,2266553,2266551,3424604,2265190,1990768,1137563,1137564,1990770,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,3039248,3471466,3039222,2061854,2061855,2043532,1171440,659225,659228,1109375,622582,346018,346014,622601,1109406,1942168,2045465,2047190,1173881,1173878,2047179,2234620,1295910,1295909,749960,426268,426269,749967,1295879,1295877,2234558,3732208,3783611,3783619,3783588,2266483,2266485,1314978,750500,426521,240873,240874,426524,750511,1314999,1158789,1158791,2024697,1158775,1158774,2009595,3406772,5520051,8521393,8540310,5538422,5538423,3423890,3423889,5370956,3301830,1941954,254269735,3470796,254617059,8490868,254845843,5356273,5356272,5356278,3393004,3393003,3451261,3381775,2044667,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1173156,1173154,2046047,3426077,3426076,267914881,12591665,16165011,11232292,7453590,4709356,2836936,1645725,935805,254166303,2836932,4709346,2837754,2837755,4710631,254605501,3388121,3388122,5498390,8496988,8490469,5491343,3381851,2026216,2026217,2022788,2022789,2820105,2820106,3374837,1986195,1986194,3374836,3427246,2025495,2025494,3427244,5541855,254279579,1159593,1159594,2025898,3427689,3414326,2015249,1152712,1152715,2015253,254240976,5506196,8505749,12546461,8640783,5619622,3491074,3491073,5619617,8302341,5356459,3292392,1936263,1936262,3292391,5356455,8302334,8560779,12561350,8516745,254867821,17752964,17440190,17440192,23768131,24278166 Dl.O(d2) = 10779546,10779547,15582705,21611894,28888097,29906783,23126396,23126395,30544852,28888001,28888002,255518330,15582376,10779253,10779254,10779417,7122466,7122468,10779422,255848167,15582769,15582768,21611972,21611974,21611975,22178542,16052760,11146203,11146206,16052768,21535515,15520662,15520663,21535521,21608700,28882943,28882942,37277868,37277869,47183872,37426753,29521149,22178701,16052879,11146276,7393036,4670661,2814004,2814003,4670657,7393030,11146257,16052848,16127876,11203602,7434046,7434045,11203598,11203654,7434085,7434086,11203660,16127977,22269103,29620099,29332512,29332513,23125565,254373246,37901177,29332524,22001774,22001773,22112582,29446005,22112605,22112606,29446026,255963038,38008272,47923370,38187256,38187257,47923332,38008192,29445794,29445793,267986048,16859272,11791725,11108203,11108202,16000662,22112823,29446179,29482670,22144620,16026091,16026090,22144618,29445525,22112779,22112778,23126554,30544817,23126324,23126325,22112386,16000255,11107928,7367119,4654105,2803823,1626561,924915,521367,292243,292244,521372,924929,1626578,2803852,4654181,7367228,7366957,7366956,11107653,11107684,11108169,16000608,15999038,11107129,11107131,11107328,11803007,7883350,5006545,5006546,7883357,11797382,11797380,16865787,16000376,11108019,11108018,16000067,11107793,7367037,4654064,4654065,7367042,11107806,16000090,22111140,22112169,22112687,254128172,11107976,254173656,7367093,7367092,11107888,11108162,7367246,7367247,11108164,16000599,16861149,11798120,7879316,5003117,5003118,254102472,16866571,23126487,29445950,22112490,16000327,16000329,11798248,11798249,7882161,7882162,11792106,7881707,254373526,16870027,23126610,16866801,16866802,16871626,16871627,22214611,16082988,11169263,7410012,4682173,4682174,7410016,11169271,16083007,16870557,16870555,11802283,11802173,11798330,7879496,5003274,3024147,3024148,5003276,5003296,5003297,5000111,5000113,7875387,5004464,5004462,7880850,5006027,3026560,1760720,1002888,565083,565079,1002875,1760697,3023960,254128454,3021597,254173392,16028898,11129564,7382305,4663960,2809856,1630051,926866,522411,522412,926868,254235221,4663974,4663371,2809505,1758379,1001062,1001058,1758366,3023902,5002982,7409965,4682139,2821063,1636653,1636655,2821070,4682154,7409993,5003761,3024600,3024603,5003769,7382302,7382301,7382396,7882062,5005562,3026249,1760514,1760515,3026265,5005580,254249910,254128334,254128332,254373398,254250006,11802200,16871404,254250008,11801436,7882084,7882085,7882780,6582807,4124385,4124386,6582812,10015659,11129447,7382178,7382177,6582814,6582816,10015672,11129181,11169205,7409944,7409942,7410104,10427671,6875031,4315851,4315847,6875024,7879093,10014821,10014820,7381713,7381711,11128943,11128944,10014830,10014828,14554680,11129039,10014799,10014798,7879991,7879990,11798782,12487995,8458275,8458274,10015477,10015476,10014681,10014680,14554551,16870544,16028031,11128649,11128650,16028032,20285735,16867123,16028320,11128964,7381725,4663515,4663516,5844160,3646905,3646904,5844159,8953791,6583099,6583098,7882928,254696362,6583197,4663771,2809721,1629988,926839,926840,1629993,2809753,4663807,6582287,4663555,4663554,7381783,7381860,7381858,6582239,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,632604,632589,632587,1127938,1975873,3360830,5465463,8458711,12488710,17660643,24006218,31505052,36857732,28359773,21519474,15508300,15508302,21307457,21307456,22647263,16456373,11465975,11465974,16456372,17367191,23689131,21609761,15580832,15580831,21609759,28885770,33564637,25775205,25775206,33564641,33109588,33109587,31178213,28529321,21307043,15337452,15337453,21307045,21138274,21138275,21138272,21138273,28352158,257417647,49884199,40206286,31520329,24018908,24018907,31520328,26904998,20021835,14340147,14340148,20021843,22055811,22055812,24146303,17779957,12583187,12583188,17779963,21306964,21306962,28529231,23038364,23038363,29182463,29182462,23565994,23565993,24113411,24113409,31618676,40306993,41987511,268433782,33043737,33043735,27249722,21044793,18738122,13339442,9114020,9114023,13339451,18738139,25315561,27252245,33042820,35377412,27252666,20319709,14582464,10034133,10034131,14582461,14405690,14405691,20092670,20320311,20320310,27253296,35374741,27250144,20317556,14580837,10033060,6593715,6593714,10033057,14580830,20317552,268556267,29151540,29151539,37711741,47633954,49767479,39748870,39748871,257629621,71778664,258759900,31579901,31579900,31071131,23587624,17275840,12155406,8185772,254391747,3211437,5255116,7203346,4538231,2727823,1580452,1580453,268024896,7203291,255054773,21787452,16292296,11335380,11335378,15728919,15728920,21787462,29085068,28866405,21591793,15853013,10987272,10987273,11732140,7832828,4972065,254248471,990998,990999,1744028,3003108,4971980,6468654,4053190,4053189,6468652,9848770,12299522,12299523,17448513,255529236,35010373,26939172,20056660,20056659,25362291,255973533,21788466,255846582,14384850,9890443,6499002,4072309,4072312,6499012,7571170,7571172,10811797,15625381,10811594,9887258,6496461,6496463,4538414,4538416,4062520,4062519,6483150,9869238,14362556,12308666,8313683,5364362,5364360,8313677,12308655,17459876,14364325,14364324,20050012,268077389,4537674,4537673,2849004,2849003,4728723,7193830,7193829,9888008,9888007,10813807,7146258,6492784,4068342,4068343,4068328,2434429,1407898,802014,454415,256127,141835,77723,77722,141828,256114,454432,802047,1409877,1409934,1409935,2438494,4075467,5362719,3296700,254400335,254105627,189155,189156,344920,345233,621258,1107151,1152483,254184708,1935695,1158567,650023,650021,360565,360570,650065,1158646,2024484,3426127,254446411,2266548,2266547,1705941,1705942,2941664,4029755,3393028,3393029,5504203,3453669,3431559,3431557,5545843,5499573,3389191,1996819,1996817,3389185,5499569,8498118,5540811,3449770,2043364,2043363,1999949,1143116,1143114,1999942,2021557,1156791,1141437,1141438,1764345,1005162,566434,317231,175390,96396,96397,96388,96387,175372,317189,317745,317743,567323,1006633,1149466,644827,357865,357864,644877,1149582,2010347,3407692,5520861,5356208,3292168,1936107,1936103,3292160,3732222,3732221,5356135,3292098,2266553,2266551,3424604,2265190,1990768,1137563,1137564,1990770,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,3039248,3471466,3039222,2061854,2061855,2043532,1171440,659225,659228,1109375,622582,346018,346014,622601,1109406,1942168,2045465,2047190,1173881,1173878,2047179,2234620,1295910,1295909,749960,426268,426269,749967,1295879,1295877,2234558,3732208,3783611,3783619,3783588,2266483,2266485,1314978,750500,426521,240873,240874,426524,750511,1314999,1158789,1158791,2024697,1158775,1158774,2009595,3406772,5520051,8521393,8540310,5538422,5538423,3423890,3423889,5370956,3301830,1941954,254269735,3470796,254617059,8490868,254845843,5356273,5356272,5356278,3393004,3393003,3451261,3381775,2044667,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,617850,343386,188340,188342,343395,617875,1100883,1768509,1007840,1007838,1173156,1173154,2046047,3426077,3426076,267914881,12591665,16165011,11232292,7453590,4709356,2836936,1645725,935805,254166303,2836932,4709346,2837754,2837755,4710631,254605501,3388121,3388122,5498390,8496988,8490469,5491343,3381851,2026216,2026217,2022788,2022789,2820105,2820106,3374837,1986195,1986194,3374836,3427246,2025495,2025494,3427244,5541855,254279579,1159593,1159594,2025898,3427689,3414326,2015249,1152712,1152715,2015253,254240976,5506196,8505749,12546461,8640783,5619622,3491074,3491073,5619617,8302341,5356459,3292392,1936263,1936262,3292391,5356455,8302334,8560779,12561350,8516745,254867821,17752964,17440190,17440192,23768131,24278166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14044834, s2 = 7985439, dlinesl.size( ) = 2 s1 = 14044834, s2 = 7985439, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14044834, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 13320610, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 930854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13321222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13328262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13297658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13331812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13205794, s2 = 7180995, int(edited[s2]) = 0 s1 = 13205794, s2 = 7180995, d1 = 18, d2 = 30 Dl.O(d1) = 24380873,255410544,18151678,12871475,12871474,12899966,18188214,18394024,18394023,18028399,12778385,12778384,13064947,18028403,18394266,13065127,8902808,5809403,5809402,8902805,12608502,8902645,8902637,5809267,5809268,8902575,8686277,5652675,3514635,3514636,5652677,8686281,268015737,5780667,3602498,2149805,1243186,1243184,2149803,3602492,5780661,8867153,8902813,5809410,3623609,2163883,2163882,3623607,3623503,2163811,2163812,3623508,5809256,5809405,267925255,13064901,13064902,18189997,12901525,8775970,8775969,12901523,18189994,12995219,8847148,5765931,3591422,2141249,1236530,1236533,2141253,267851515,2090090,2090089,2081335,1196733,1196737,1197236,674159,674161,1197242,2082382,2082340,1197240,1197242,2082382,2082340,1197240,1197242,2082382,2082340 Dl.O(d2) = 31913172,255602220,257113404,88679281,75028167,75028168,88679282,102689265,271889468,261336713,263655785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13205794, s2 = 7180995, dlinesl.size( ) = 2 s1 = 13205794, s2 = 7180995, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13205794, Dl.E( ) = 32, 3.48e-05 seconds used appending s1 = 15866231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15866231, s2 = 1242968, int(edited[s2]) = 0 s1 = 15866231, s2 = 1242968, d1 = 66, d2 = 21 Dl.O(d1) = 59681307,48959190,39037359,39037358,42574437,34978290,26898878,26898879,25557016,25557017,33319073,42299761,256344824,58788069,47400060,47400061,58788073,71518023,76750388,63658182,51862797,51862796,59681239,59681238,58787813,47399737,37491403,28948754,21669075,15632649,15632647,16275642,22444577,26899104,26899102,25768281,25768280,30761920,23339058,17072908,17072907,23339050,22444798,16275764,16275762,19405979,26095250,30890851,38384394,33982697,26142964,26142965,25768261,25768262,33557572,38384040,29811730,22444861,22444858,19177549,13694891,13694892,19177551,25829743,22444777,22444779,22444591,22444593,29811690,31482188,38383959,48294484,42299801,38384111,38384110,48294600,38384663,38384665,48294927,38384596,29812197,22444912,22444913,29812198,38384292,48294622,42982052,42982053,40166966,31482181,23985409,17639627,12463865,12463867,268227375,11317401,7514646,4750464,2863031,254356685 Dl.O(d2) = 31332806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15527251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050540, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12362532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12125104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14593382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14158186, s2 = 6485727, int(edited[s2]) = 0 s1 = 14158186, s2 = 6485727, d1 = 24, d2 = 17 Dl.O(d1) = 23585397,17273012,12152325,12152327,17273015,19807512,14188000,14187999,18566429,13193686,8994314,8994313,9228440,6044115,6044119,9228453,13488444,15526100,21542719,15631818,14223283,9777947,6428953,4033320,4033321,6428959,9777961,11789158,11789160,13488532,9228950,6044433,3781994,2265567,2265485,254300519,6044144,9228491,13413273,9171106,9171105,13413271,18819281,18819282,25410333,25417850,19271863,13775418,13775416,19271853,19271897,25934336,25410279,18819245,13407169,13407082,9166285,5999442,5999444,9166291,13407092,16129765,16129766,11772388,7859786,7859785,11772382,16834295,23087838,25417991,18826339,16834208,16834206,16132883,16132882,13413374,9171169,6002658,3753929,2248037,2248038,3753935,6002670,9171198,13413444,18826484,25418182,255631174,255631136,34122123,33741771,25934512,24887895,18388385,13061386,11259383,11259385,16197301,22347117,18727923,18727922,15513660,15513661,21525926,25933701,25410159,25410161,24755032,18279826,12974174,12974173,18279822,13061366,13061365,18388340,23934689,17591733,12417293,8392783,8392782,12417286,17591720,23934673,25935125,19272631,13776021,13776022,19272639,25302902,25302903,24888249,18388699,18388700,19272015,13775500,9444179,6191180,254943067,19271971,25934441,29627076,38194019,46763893,46763892,254634008,254292432,33741716,25934439,254634010,13775672,9444286,9444287,6919337,6919334,10493159,15211897,21170093,28388827,21170142,15211929,15211931,19273503,13776692,9444946,6191626,6191625,9444940,13776670,19273459,25936024,25935606,25935605,31477867,28389170,23407431,17133222,12040554,12040553,16096821,16096822,22231527,28389336,23838951,23407476,17133246,254455398,254528400,7417940,254353102,12040853,17133656,23408029,30837027,28381999,28381998,29612569,25418687,18826861,18826859,25418672,30517426,32817454,41738421,52053216,269306610,58131779,58131780,64562863,52661992,42274626,33293223,25531720,18921074,18921072,25531638,18920975,13488791,9228706,9228705,13488790,18920973,25531634,33293155,37348863,255843847,15526085,15526087,21542709,26670002,25531287,18920660,13488524,9228504,9228503,13488520,9228604,9228605,9229040,13489343,14223528,255669035,13488855,9228739,9228742,13488863,18921063,18921039,18921037,18920701,13488556,9228518,9228517,13488551,18920691,25531331,33292914,41744391,32823399,25119230,18568038,18568039,25119234,25531302,18920878,13488712,13488713,18920881,19853406,14223544,13488757,9228677,9228678,13488676,13488675,18566814,18921386,18921382,16185949,254774899,7468511,11247701,16181721,22327679,256400227,29678865,268445498,22332839,16186021,16186020,22332836,29684779,38249532,38248893,38248873,268650438,29678870,22327643,22327644,29678872,38243605,48152436,59538843,48158712,48158711,38249807,29684760,29684759,38249001,48157936,48157935,38248950,38248951,38248948,29684500,29684499,29684893,29684897,256942639,38248912,257522445,270283697,58126058,70840627 Dl.O(d2) = 84980363,71406268,255169146,37371532,28831940,21561369,21561371,28831944,37371537,47280811,58672038,58672014,47280793,47280791,49913799,39893785,39893786,49913804,59545803,48158757,48158758,49931354,39913019,31237539,23754252,23754251,31237536,39913014,49931348,39913226,31237718,23754374,17428129,17428128,23754371,31237710,36505117,46363302,39912686,39912685,39912683,49931009,49913793,39893779,39893780,39893791,39893793,49913812,39913187,31237689,31237688,39913183,39434980,30830799,30830800,39434982,49364246,49364232,39434975,30830795,30830793,39434971,49364225,47230610,47230611,49931301,49931302,48479466,38565994,29995610,29995612,38565998,48479472,49931336,61410184,70406825,57712675,46363317,36505131,28041725,20873774,20873773,28041721,36505123,39037058,39037057,48958914,60355064,73094335,64599063,64599064,57712598,46363250,36505077,28041696,20873762,20873761,28041691,36505070,46363246,57712593,61410324,61410323,254399854,46757969,58126282,70840789,84398148,74189488,74189487,83933120,70406837,57712697,57712698,61410181,74189417,70406846,57712708,46363334,37595673,29047946,29047945,37595671,46363307,48958916,46363351,36505155,28041743,255361999,10304034,6775996,6775995,10304031,14971775,268371591,28041716,28041715,36505105,256811823,258000779,83933113,70406832,61410312,49931511,39913198,39913199,49388833,54603286,54603285,66861395,80290758,83933097,70406791,57712616,57712615,57712705,47202758,37294737,28760893,21501268,21501269,28760899,30747589,30747590,39347190,49273334,60673722,73420625,83933111,71327037,58593831,57712662,46363293,36505104,28041708,28041706,36505098,46363282,48958939,48958938,60355093,57712701,57712703,70406843,70406819,64564385,52663491,42276139,42276138,258413109,70685318,70685319,73094324,60355042,60355035,48958889,48958890,60355037,57712621,46363264,36505082,36505080,46363257,57712608,46363323,46363324,57712685,59304974,47910547,37994475,29432138,256381409,47910544,59304972,59340743,70406851,57712713,57712712,70406848,72074780,59340765,59340766,268677682,62021883,50529771,40494026,31798899,31798898,31504545,31504544,40189540,40189526,37994423,31504535,28370399,21153445,21153443,28370393,24114233,24114219,24114220,31619478,40021452,31341950,31341949,39176914,30578985,23161742,16900075,16900076,23161747,30579000,38803533,38803532,39176699,30578793,23161621,23161622,16900035,16900036,23161659,23161673,30578871,30578868,39176789,37533636,37533637,47441551,48724252,38803429,30219708,22827460,22827461,30219709,38803434,48724227,38803408,30219698,30219699,38803415,38803517,30219786,22827512,16606460,11581940,11581941,16606464,22827522,30219744,30219851,22827570,22827569,30219848,38803564,38803565,38803601,48724401,39176137,30578358,23161351,23161352,16900323,16900325,23162151,30578962,23161732,16900072,11827045,7903988,5024284,3041167,3041168,5024289,7903995,11827058,16900097,23161783,30579042,39176969,31673957,24164324,24164323,31673952,38248589,39177179,30579279,23161993,23161992,30579273,30217474,30217475,30217552,30217553,38801694,38248044,29683082,22331459,16185025,11250400,255088111,18776928,22331654,22825043,22331415,22331416,29683038,38248010,38801691,30217536,26902705,26902704,30579154,29683051,22331434,22331436,23162025,30579313,38801700,30217561,22825137,16604352,11580384,11580386,16604360,16185071,267975407,7468196,11250421,16185068,16604296,22825065,30217460,38801623,38248037,37524743,28980963,28980964,29683285,22331622,22331624,16185187,11250494,7468231,4719589,2843359,2843358,4719588,7468227,11250483,11250386,11250385,7707968,7707967,11580283,16604211,20020038,20020039,26902710,32955292,25235390,18666335,18666336,22825007,22331485,16185044,254774867,7468191,11250412,11580374,11580375,16185469,11250695,7468345,4719646,2843393,2843394,4719648,7468349,11250703,255465539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14158186, s2 = 6485727, dlinesl.size( ) = 2 s1 = 14158186, s2 = 6485727, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14158186, Dl.E( ) = 26, 1.31e-05 seconds used appending s1 = 14535478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14535478, s2 = 13656591, int(edited[s2]) = 0 s1 = 14535478, s2 = 13656591, d1 = 50, d2 = 32 Dl.O(d1) = 72379366,59644887,48258027 Dl.O(d2) = 257656327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14535478, s2 = 13656591, dlinesl.size( ) = 32 s1 = 14227791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15173873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14227970, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14884185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14322549, s2 = 9340141, int(edited[s2]) = 0 s1 = 14322549, s2 = 9340141, d1 = 19, d2 = 14 Dl.O(d1) = 58727636,52440011,52440012,64304900,64313600,52446572,52446561,52446562,64313583,77477424,91408747,91408725,256358600,64313552,59029805,59029806,64313550,64313549,77477396,85362168,85362169,85362189,85362198,85362199,99307117,99307123,99307064,85362092,71772340,71772339,71772463,85362165,71772458,59029857,47627546,37705248,268625064,15767908,10920297,10920298,15767911,21837450,29145152,37705267,47627577,59029855,47627565,47627566,59029880,47627562,37705258,29145147,29145148,37705260,47627564,59029884,71772483,85362205,85362207,71772490,267968958,255429690,71772318,255429704,47627493,47627492,59029776,256900394,99307069,85362105,85362106,85362125,71772378,71772377,71772511,59029912,59029910,71772507,85362225,80326059,66898383,66898382,256900382,108668303,268215908,99307119,113310732,127170620,140517449,140517434,140517433,152842891,140148807,126798640,112944781,98955739,257463478,126798642,140148810,127947307,114067363,100040823,255429724,127947304,135203901,121353113,107056359,99307302,85362405,256358648,71772736,71772737,85362421,99307315,101985415,112248579,98268909,84360485,70801947,256900372,268932428,99753922,85799965,85799964,85362400,71772705,59030121,59030120,258090492,113310852,127170693,269798174,112248623,99307288,99307287,113310847,127170690,140517508,129930923,116032281,101985408,101985409,101985412,88009973,88009970,74404727,61626144,50144341,40123265,31443891,31443890,40123262,50144335,61626133,74404706,84355474,84355473,98262637,112240279,116032284,112248601,98268931,98268932,112248602,112248625,98268949,88009965,88009966,95638899,269798184,101985398,101985399,98268865,84360425,70801905,70801906,84360427,88009958,258090532,112240335,112240337,126094953,126094929,112240287,256358672,98262649,84355480,84355479,98262648,88009933,88009932,101985375,88009961,74404712,74404713,258025890,58085082,46713343,46713345,58080606,70797330,84355549,255429740,126094954,112248562,98268896,84360459,70801923,70801924,84355541,256900444,99307352,98262671,84355498,84355497,98262669,98262662,84355489,84355490,71772863,257480383,47628137,59030357,48684798,48684799,58080524,58080523,70797243,84355457,84355433,70797212,58080496,256900456,48684803,48684802,256900458,70801934,255429744,46713357,58080526,256358684,38763065,48684800,60081016,70797277,58080556,46709120,46709119,46713404,36830861,36830862,46709076,46709081,36826809,255809375,15172327,10463937,10463938,15172329,21119674,28330799,36826826,46709116,58080551,70797218,58080503,58080505,70797222,70797307,58080588,58080589,258650977,84355446,70797230,70797229,84355445,84355469,84355470,74627662,70797319,70797318,70797287,58080564,46709127,257416339,58080599,70797320,84355533,258426482,61835459,61835458,74627673,88257955,102256213,116350729,112240269,98262624,98262623,112240267,99753891,99753890,98262686,88257967,88257959,74627677,258426484,269090522,40324443,40324442,257674615,55721250,68117544,74143096,269205308,49880988,61362515,68117545,59468106,48077391,48077390,59468104,59468186,48077477,48077478,59468076,59468165,48077451,38164627,29597978,22248799,255897381,38164628,48077454,59468169,59468172,72205859,61362519,49880996,49880991,39858044,31175467,31175468,256766806,29597926,35389986,27264385,27264386,29597911,256935925,59468085,59468192,59468159,55721257,55721256,59468160,48077447,48077448,59468162,72205847,257226018,38164631,38164632,36792657,28295756,28295757,36792659,46678791,58053513,268837438,29597987,22248804,22248805,29597991,38164650,256240092,38164660,29597997,29597995,29597994,38164654,48077383,48077384,39858038,31175463,31175464,39858040,31175471,31175472,39858051,255762408,48077436,59468145,71335727,255714304,50418717,40384229,35114104,254310744,20134944,27027530,35114107,268162844,38164566,48077397,38164583,29597947,29597946,38164581,40384225,50418714,58315159,46948340,46948339,58315158,71031052,84595450,84683927,84683928,74497682,74497683,75415821,62496949,62496948,60095397,60095395,71154184,71154185,84365007,70806317,66868171,54610148,54610147,66868168,60043170,48646745,268612302,30144271,256977427,60043172,60095407,48699355,48699354,60095405,60095401,60095399,58401813,47029849,47029848,58401810,257883704,62496944,50897124,268701925,32024678,256582860,55301408,44456888,44456889,48699351,38777109,38777110,48699352,60095400,55301407,50897134,256837535,28338258,21125995,15177308,10467527,6900100,6900099,10467526,15177306,21125973,15177292,15177293,21125975,28338223,21125968,15177284,10467512,10467513,255381389,15177282,254720495,1495175,847202,478432,478433,847205,1495180,2592417,267880513,2592405,2592406,4332051,6900082,10467506,15177274,21125965,268606781,36834958,46717599,36834963,36834964,46717610,58089369,46717650,36834999,36834998,28338237,28338236,36835002,28338235,256298799,21125984,15177298,15177297,15177270,10467503,10467502,15177268,21125956,28338207,36834962,28338231,21125977,21125976,28338230,36834997,36835006,46717659,58089403,70806271,84364951,84364857,84364856,98273432,112253105,126109001,272523361,152210132,164098234,152210153,139480654,126108994,271295753,98273423,112253097,98273427,84364850,70806188,258651535,260499577,126108992,139480649,139480639,126108984,112253091,98273419,84364847,84364848,98273421,261078561,152210130,152210129,272826819,126108997,126108998,126108989,112253093,112253092,126108987,139480642,152210138,152210142,139480644,139480640,139480641,152210137,164098241,174923127,164098238,164098239,174923128,184534391,184534403,184534404,192927710,184534389,184534390,184534394,192927715,200126894,192927718,263841195,263480401,174923407,164098507,164098508,263079335,192927891,200127027,206206031,264715607,211232302,264715601,264455082,206205923,206205924,263841215,192927887,264165255,211232310,215339000,218732234,218732233,264950720,215338989,218732224,221596433,265356429,218732220,215338981,211232287,274085105,215338983,211232293,264165251,200127016,206206009,211232295,264715599,206206018,206206017,264165247,192927876,192927875,200127014,206206007,211232289,215338982,211232299,206206019,206206020,211232286,264715595,206206012,273697457,184534616,184534615,264165249,264165253,192927878,184534619,174923370,174923369,184534617,184534613,184534612,174923380,174923368,262150823,152210346,164098473,174923366,164098484,164098485,152210357,152210209,152210208,164098325,174923235,174923362,184534608,192927819,184534513,174923238,164098327,152210210,262150793,262635391,152210350,152210349,164098479,164098469,164098468,174923358,174923232,174923233,262635366,263253249,178033447,178033415,178033414,187276350,263585158,143417183,143417182,155955383,167566334,261078562,167566453,271763170,155955441,143417228,130089328,116182010,116182008,130089326,143417225,155955438,167566387,174923396,184534638,184534594,174923342,164098451,152210325,152210324,164098448,155955504,143417283,130089363,116182035,102124750,102124751,116182041,130089365,143417291,155955513 Dl.O(d2) = 202204208,207989590,274121199,274282928,212759820,265251949,224056207,226189788,224056237,221596421,221596420,224056234,224056240,226189785,228047739,229677958,230336978,265760273,265437891,265437893,224056227,224056226,265606487,224964991,265760271,228774092,230336981,231245746,229807209,229807208,266000942,228047748,226189807,224056230,221596414,265532205,224964994,226999643,228774084,228774083,265869790,265568964,226342868,224225679,224225678,264807136,221783300,224225651,226342838,224225663,221783332,218935106,215559561,211474493,211474492,215559559,218935104,221783328,224225677,226342866,265238756,219297292,215980141,265206813,224505570,226596368,228418071,228187308,226342845,224225657,264555606,264275738,211474483,211474484,211474487,263964458,218935089,218935098,215559557,211474490,211474489,215559555,218935092,221783319,219725307,216469491,212544427,207742682,201919411,201919410,207742679,207072679,201132011,201132010,206475463,211474476,215559540,211474474,211474472,206475466,200428004,200428005,206475468,201132022,201132021,264512338,201132018,194081268,185852133,176415188,176415187,185852132,193268388,193268387,200428008,201919415,207742685,212544430,211474467,211474468,215559533,211474479,206475461,200427995,193268378,184928084,175378702,164618186,261276504,184928088,176415184,176415185,185852129,186912718,177630677,176415192,176415193,263229371,194998986,201919423,207072693,263911831,185852143,262729619,153980266,153980265,262729617,273552257,201132028,207072691,201919396,194998964,186912695,186912696,185852138,185852136,262800039,165753093,272564109,127949804,114069857,100043523,260613959,141309519,142948011,129621286,129621287,142948012,261738213,261276507,129621288,142948007,142948008,155497166,142948010,129621285,260106107,87706949,74101048,258866249,100043527,86080964,258146727,48366443,48366444,258770491,61318086,49835124,49835122,269867477,100043522,86080960,86080959,260013721,87706954,101680835,259490645,74101043,74101044,87706944,87706937,74101037,61318073,49835115,49835116,59749179,59749180,72483597,61318078,49835118,49835119,61318080,72483604,59749189,256957355,29907647,22551371,255917839,38464974,269787294,256415021,38464970,29907645,22551369,16374771,11396109,7572020,7572022,11396111,16374775,12200345,8231336,8231337,12200347,17325684,23642401,29907650,29907651,38464976,48366450,48366451,269345877,258693350,22551385,16374789,11396120,7572032,4788795,4788794,7572029,11396116,16374778,11396113,7572024,4788790,2886458,2886459,4788791,267977661,22551375,29907653,38464978,48366406,38464939,256957347,29907672,22551395,22551396,256415025,257537545,59749146,48366401,256415017,29907626,38464938,48366403,59749148,72483565,59749149,48366460,256415023,22551387,16374791,16374792,22551390,29907667,257537547,38464948,38464947,48366413,59749157,48366456,38464987,256957349,29907641,22551362,22551361,29907638,38464963,48366433,59749175,72483563,72483562,86080929,72483567,72483568,86080933,72483586,257537551,38464958,38464957,48366422,59749165,72483582,86080944,258770484,84979955,72483622,257537557,38464992,38464991,48366462,59749199,72483620,86080973,100043531,114069855,100043517,86080958,86080957,72483624,59749200,258770483,59749170,48366427,38464959,38464961,48366431,48699357,59749167,59749156,59749155,72483576,86080938,72483574,59749153,59749152,72483571,86080936,72483618,59749198,59749197,72483615,72832697,60095411,48699358,257563385,72832696,86427710,271341836,86080952,258146721,59749171,60095408,72832692,86427707,98658001,84728548,84728549,72483570,71104915,58388174,58388175,71104917,72832698,60095413,48699362,38777121,30193188,22802950,255114159,4872266,254545725,11566085,16585912,22802947,256060561,24462949,255213351,12790907,18043841,24462984,24736026,24736027,32351985,32024698,24462989,268123973,8695914,8695915,12790910,18043846,24462994,32024709,40780861,50897155,59230270,47832477,47832476,59230274,50897137,271079766,50897151,50897150,40780858,257130687,40937160,51079009,62709258,75654244,89415775,102547316,88540621,258641960,71968161,258953175,260791855,109372428,109372429,258729800,89891397,257704426,65161323,78444177,271079767,89792220,103893388,93436543,93436544,102307124,102307123,102307122,269023522,75637956,63032859,51352294,51352295,51352291,41167034,41167035,51352292,51352301,41167040,32351984,24736025,18262869,12959221,8819060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14322549, s2 = 9340141, dlinesl.size( ) = 2 s1 = 14322549, s2 = 9340141, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14322549, Dl.E( ) = 20, 1.69e-05 seconds used appending s1 = 12127208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14227981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14227981, s2 = 11527166, int(edited[s2]) = 0 s1 = 14227981, s2 = 11527166, d1 = 3, d2 = 19 Dl.O(d1) = 25209818 Dl.O(d2) = 231957750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14227981, s2 = 11527166, dlinesl.size( ) = 20 s1 = 15373436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12127420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12127420, s2 = 3280911, int(edited[s2]) = 0 s1 = 12127420, s2 = 3280911, d1 = 5, d2 = 8 Dl.O(d1) = 32620425,24953619,22795137,16578459,16578460,22795138,24953593,24953594,24953616,24953618,24953601,18437128,13096207,255236711,24953604,32620410,32620419,257161625,32620413,24953608,24906233,24906234,32556774,24953627,18437147,13096223,254635705,5824373,8924765,13096227,18437129,24953606,24953613,18437139,18437138,18437099,18437098,24953569,32620366,24953597,18437126,13096206,8924754,8924753,13096205,255635089,18437122,18437123,24953596,32620398,41502636,51776327,63557788,61655073,257749335,51776323,269962693,259616801,118836234,104658826 Dl.O(d2) = 76639417,76639416,90497362,259616801,104658824,104658825,260829309,132651752,145867982,262435313,158415176,146039312,132808997,118977431,104785332,259032430,63654942,51860125,41570660,32675482,24998170,18473305,18473304,24998169,32675481,25954509,19290233,13791304,13791305,19290234,19290229,19290228,18859847,13437310,9187008,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,25459664,25459662,23316291,23316292,18859782,18859781,25459565,33207267,33207405,30733741,23314671,23314670,30733738,30735222,30735223,39331110,30733690,23314621,17051362,11961879,11961878,12799707,12799705,18054864,24476278,30049467,26995420,26995421,20817021,20817022,27981026,36440147,29534712,22191544,16063550,11153983,11153984,16063556,11962132,8007501,8007498,8007697,8007698,11962499,17052357,23315242,23315243,30734350,39332295,39333164,30735500,30735501,30735509,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097551,8007358,11961866,17051335,16477422,16477425,17051437,17052033,23315552,23645806,30735079,30732510,30732509,30732544,23315069,17051685,11962076,8007476,5097598,3094125,3094126,5097603,8007488,11962102,255529905,23315381,17051911,11962225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12127420, s2 = 3280911, dlinesl.size( ) = 2 s1 = 12127420, s2 = 3280911, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12127420, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 15888531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15888531, s2 = 6029462, int(edited[s2]) = 0 s1 = 15888531, s2 = 6029462, d1 = 3, d2 = 44 Dl.O(d1) = 42162417 Dl.O(d2) = 241497673,266961929,240069072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15888531, s2 = 6029462, dlinesl.size( ) = 2 s1 = 15888531, s2 = 6029462, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15888531, Dl.E( ) = 94, 2.29e-05 seconds used appending s1 = 14057609, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13377274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13380580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12128908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2509691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2509691, s2 = 8570290, int(edited[s2]) = 0 s1 = 2509691, s2 = 8570290, d1 = 22, d2 = 84 Dl.O(d1) = 71458714 Dl.O(d2) = 88451384,102455000,102454993,102454987,88451372,88451371,88451376,74817932,62020973,50528966,40493333,40493335,50528969,258296407,259544143,60724777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2509691, s2 = 8570290, dlinesl.size( ) = 78 s1 = 15809840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12130134, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14065159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14536434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13400516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11711381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7984403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6922174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6922174, s2 = 10334299, int(edited[s2]) = 0 s1 = 6922174, s2 = 10334299, d1 = 39, d2 = 20 Dl.O(d1) = 260122182,259507234,49428086 Dl.O(d2) = 60830359,73580209,87202599,80361994,80361995,94415742,92667217,92667218,258180546,53313121,42850632,33809869,28161524,28161525,269299585,58658638,61456630,49978505,39961877,31286725,31286724,39961875,256124054,255258738,42463862,33470392,25697205,19071648,13615423,9323004,6107006,3821128,2289347,2289349,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470829,3759782,3759780,6011325,254648484,18854395,18751595,18751594,25331295,33060393,34611776,26622843,19812481,14191528,14191527,19812479,26622841,33142888,33142889,254146666,33142811,254443448,24535472,18102373,18102363,12835185,12835187,18102368,24535464,32112369,40885484,32112212,24535345,18102291,12835137,12835136,18102289,24535342,32112208,40885478,51022508,58813200,47618646,47618644,59022257,62648493,75590975,258806398,51022556,51022555,62648435,62648434,71573029,259332449,259983362,108699706,122964631,117578727,258819940,75590983,75590985,75591009,62648517,51022566,40885560,40885559,51022494,51022493,62648465,51022551,43933776,34660180,34660181,43933779,51022485,40885466,32112199,24535335,24535334,32112197,40885462,51022475,62648447,72447718,59710728,59710727,72447716,62648455,62648454,75590950,89352247,268421908,72447715,75590979,78432241,65150235,53165890,42716239,33686202,25879782,25879781,33686198,269100355,84661615,89352240,258323383,51022470,40885459,40885455,269439877,71098728,71098730,84661609,258908432,98145325,258792792,257560198,71541859,255936256,47426091,58813084,256979338,47120652,256320376,28697222,37222942,47120661,58499232,62742698,62742797,51111498,51111497,62742684,51111377,51111379,40969118,40969119,32972996,32972999,41912827,50153241,40131713,40131712,40131726,40131724,50153251,53332213,53332212,51111467,40969133,32189443,32189425,32189426,40969105,32973006,32973005,41912833,43881838,41912845,41912846,51111576,40969234,32189517,24601711,24601710,32189514,40969228,51111562,51111407,51111408,62742707,61635494,61635493,62742701,51111403,40969079,40969078,40969190,40969169,32189460,24601691,24601692,32189468,25250399,18679598,13286736,13286737,18679604,25250411,32189494,40969204,41912840,36547582,28079356,28079355,36547579,46409155,40969068,32189401,32189402,40969073,50153147,40131621,31451536,31451535,40131617,31451551,31451552,31451585,23958544,17610834,12430714,12430718,17610840,23958557,29593157,22244459,16107622,11188419,7423725,4691216,2826687,1640041,932580,932581,1640044,2826693,4691228,7423742,11188454,13684421,9371379,9371376,9371368,9371366,13684389,13684431,13684430,19163631,14030582,9645946,9645942,14030569,19584132,16519197,16519198,12586098,8538496,8538499,8393498,8393497,12418269,17593017,15022931,15022933,20930893,28107308,35384732,28897472,28028386,20861147,20861148,20857352,14956067,10289463,10289464,6766119,4240335,2535291,1460947,826985,826984,1460943,2535276,4240312,6766074,10292289,14959433,15226388,10502981,6925528,6925529,10502983,15226391,15225723,10502530,7062588,254157724,2671382,2671383,254157726,10690566,15203521,10486634,6914154,4342654,2600115,1500087,850188,254157729,2600119,4342658,254721509,15203535,255812599,36873602,46752806,58121322,61610124,50129386,40108700 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14513982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14228648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13417940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15922421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16304951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187549, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13424040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13424040, s2 = 13462395, int(edited[s2]) = 0 s1 = 13424040, s2 = 13462395, d1 = 4, d2 = 7 Dl.O(d1) = 257295131,44018383,34724082,255733749,14249708,9794973,6438956,6438957,9794977,14249713,19889870,26717567,34724097,44018405,256259788,45967214,255776022,26717575,26717574,34724107,44018422,54787686,54390591,43707779,43707780,54390597,61140828,53978648,45028142,45028144,45251880,35706938,35706941,27490294,20491063,20491064,26821066,26818344,19954486,14288955,14288959,9830778,6457977,4047985 Dl.O(d2) = 2423365,2423362,4047972,2423868,2423864,4049791,6463241,9840797,14325537,20003251,26882449,256207257,26717870,30517572,26717851,26717852,34724400,34724401,35240133,27143708,20235162,20235163,256207244,35240175,44622976,44622915,44622916,44018901,34724350,26717707,19889924,14249738,9794986,9794987,14249742,268332051,34724376,44018936,34862231,256733591,256731015,34724408,30517577,23101330,23101331,26717741,19889949,19889947,26717737,34724405,34724371,34724370,44018932,256790030,35240163,44622964,39114503,30517214,23101076,16844563,11779990,7865232,7865234,11779997,16844579,23101093,254667746,30517209,39114515,39114518,49044328,49044397,52465707,42113120,33158578,33158576,39114582,30517260,23101112,16844590,268240065,30517264,39114583,30517282,23101123,23101122,30517280,256166470,23101072,30517207,39114512,49044322,257242080,29772233,23101079,16844567,16844568,16844577,16844576,23101088,30517234,30517241,39114557,42869168,42869167,53330394,42869116,39114531,30517310,23101140,255131735,254557093,3016211,3016209,4992529,7865239,11780007,16844594,23101117,256462183,256684194,39114644,30517322,30517320,256166452,38343397,38194074,38194072,47793628,37868873,37868872,38343455,38343436,29772197,256407501,30517365,23101175,23101176,30517367,39114714,47793553,38343473,29772221,29772222,35537966,27377012,20416079,20416077,256244087,45011124,55976013,59640453,59640432,48253704,38343423,38343424,48253687,38343408,38343407,44612555,55461012,60168891,72230471,59494357,59494358,55461009,55461010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13424040, s2 = 13462395, dlinesl.size( ) = 8 s1 = 13462396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13462396, s2 = 13424039, int(edited[s2]) = 0 s1 = 13462396, s2 = 13424039, d1 = 11, d2 = 0 Dl.O(d1) = 42869185,53330339,42869051,42869050,53330336,42869224,33828039,33828040,42869227,53330484,49044340,49044342,60448183,66793356,54544208,43811819,42869180,42869179,256244086,26746338,26746340,34773406,42869092,33827935,33827934,42869090,53330374,53330532,42869277,33828079,26010151,26010150,256407500,38343467,38343465,48253749,53330359,42869068,33827916,26010051,26010053,33827905,256166453,19335944,19335945,26010034,256684195,256462182,53330455,42869195,39129427,30530927,23112559,16853685,16853687,254557092,255131734,53330443,42869173,33828010,26010113,19335987,13827314,9483208,6218416,3892169,3892168,6218413,9483205,9483215,13827323,19336015,26010160,33828093,257242081,53330564,42869312,33828117,26010176,256166471,42869160,33828001,26010106,26010104,33827996,42869154,268240064,49059370,53330540,65328018,53330423,42869143,33827984,26010099,19335979,19335980,26010101,26010189,19336034,13827337,254667747,2330374,2330373,3892171,6218421,9483218,13827330,19336024,26010177,27698041,20624440,20624441,27698043,256790031,55132107,44289775,44289776,45946528,36188379,27804632,20695457,14837783,14837784,20695463,27804644,36188395,256731014,256733590,27869270,36282642,44289782,268332050,26853279,34922353,26853275,26853274,34922350,34922364,34922365,44289790,54788362,44018887,34724334,26717695,256207245,27696605,27696604,34724336,44018890,45946525,45503975,35875180,35875179,27804636,27804637,256207256,27370823,20411196,14648460,10076287,6618587,4164022,4164020,6611542,6611543,4182507,2500989 Dl.O(d2) = 1443003,1443000,2499976,1442580,1442575,2500001,1452243,1452240,2519988,4214792,6722759,10231779,14879961,20759249,27901129,35960088,35960085,36276558,27864985,27864982,36276634,46068106,57347068,56173177,56173176,45901836,36155848,255776023,20683689,256259789,45901828,55979950,68431260,57187715,45938482,45001675,35530729,27371385,27371384,35530724,255733748,68411978,81935576,257295130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13462396, s2 = 13424039, dlinesl.size( ) = 8 s1 = 8348680, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8348680, s2 = 11344646, int(edited[s2]) = 0 s1 = 8348680, s2 = 11344646, d1 = 54, d2 = 51 Dl.O(d1) = 271660518,259343504,258094010,20180220,24040589,24040588,31543908,31543912,24598271,18151250,18151249,24598270,27076764,27076761,20180235,20180234,18234911,12934275,12934274,255621807,18289146,18289145,24766965,19007689,13565757,9288090,9288092,13565761,268300543,25113782,25113783,32817407,41738385,52053187,46812690,46812691,37338101,28800166,21533966,15519509,15519508,21533961,28800161,37338091,32185492,32185491,32410700,32320425,255621819,18235078,24706028,24705974,24705975,32320368,32320346,24705937,24705936,24591241,255725569,19790848,26596619,34583721,34583720,40048246,40048245,43854754,34583485,26596341,26596340,19790789,14175868,255312933,26596539,34583669,43854872,49048658,39119442,39119443,40163740,37491329,28948689,28948691,37491331,37490984,28948313,22146313,21669152,21669153,28948839,37491475,36878577,36878576,268237098,21583668,15559349,15559350,21583673,28856595,25683962,25683961,28950176,21670412,15633686,15633684,21670406,19060476,13607085,13607084,13980535,19527587,15632466,10817957,7149507,4502353,4502352,7149501,10817948,15632448,21583628,21583627,22259401,29609672,28089697,20916027,15010395,15010394,20916023,17649694,12478181,8448662,8448661,12478177,17649690,16042419,16042418,20916019,19038155,13589963,13589964,15633693,21668984,15632589,10818042,7149552,4502375,2705651,1567941,1567943,2705659,4502397,4502272,4502271,7149354,10817697,15632018,21668181,28947645,35010324,257304659,259694275,78332574,65053570,53071049,53071047,53071076,42623511,42623515,44290587,44290590,49634421,44902317,44319758,39834924,31152337,31152334,26821073,26818341,19954486,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369 Dl.O(d2) = 146041930,146041931,158416994,169788969,169788966,158416987,262036358,154837355,260269532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8348680, s2 = 11344646, dlinesl.size( ) = 2 s1 = 8348680, s2 = 11344646, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8348680, Dl.E( ) = 68, 1.69e-05 seconds used appending s1 = 202708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3367247, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13430096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13430096, s2 = 2151637, int(edited[s2]) = 0 s1 = 13430096, s2 = 2151637, d1 = 26, d2 = 1 Dl.O(d1) = 267963226,21447252,255829836,47122716,47122713,37225007,37225006 Dl.O(d2) = 47122717,47122716,58501272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13430096, s2 = 2151637, dlinesl.size( ) = 26 s1 = 13434820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13434820, s2 = 15915354, int(edited[s2]) = 0 s1 = 13434820, s2 = 15915354, d1 = 6, d2 = 5 Dl.O(d1) = 60725307,71359409,77875742,77875740,91798114,92279908,257149594,53004741,257149592,85591420,72004480,59268259,47872553 Dl.O(d2) = 37954151,47872556,59268263,64683055,52768770,42369737,33380710,33380709,42369735,52768767,52768769,64683053,53802194,43277355,42369696,42369697,52768738,53744524,43232295,34144612,34144611,42369712,33501062,33501063,26309381,19584493,14030917,14030916,19008245,19030242,13583578,9300938,7647052,7647054,6118446,6118447,6114620,3825815,3825816,6083090,3978704,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,2292175,1329999,759445,759442,1329990,2292159,3825886,6114734,9320124,9335165,9646362,9271609,6089672,6081239,3805210,3805208,6081235,9283319,13559357,9284053,9284054,6091264,6091265,9274747,6075235,3801177,2276823,2276822,1323687,755306,755307,1323690,2282259,3810182,6089772,9296481,13577408,19022318,25639022,26041692,26041691,33863594,42909133,53375613,65379592,65379575,53375595,53375594,53375606,53375607,65379570,78684192,78684217,92747406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13434820, s2 = 15915354, dlinesl.size( ) = 2 s1 = 13434820, s2 = 15915354, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13434820, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15915353, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14887976, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14889246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15220847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15220847, s2 = 15404708, int(edited[s2]) = 0 s1 = 15220847, s2 = 15404708, d1 = 7, d2 = 41 Dl.O(d1) = 41954113 Dl.O(d2) = 18847585,13428559,13428560,18847586,25444126,256460342,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181663,13429252,13008003,13008004,18324944,23082637,16830007,11769075,11769074,16830002,23082628,16830110,12482910,11769127,7857530,4987067,3012205,3012206,4987075,7857548,6009132,6009133,9180951,8453023,8453021,6009572,6009575,8453358,5460729,3357311,3357310,5460722,8453272,8453273,8453149,5460617,5460619,8453152,12482376,17652681,20161572,27055114,35140714,44517280,47730505,54708876,43965079,37982605,29419739,255333194,23081270,23081269,23997495,17653544,17653543,23084395,20165058,20165059,16827989,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,20161557,16829768,16829767,16829434,16829435,15699703,10868240,7185747,7185746,10868233,15699691,21753197,23171085,16907673,11832545,7907713,5026631,3162157,3162156,5182927,8089820,9957390,6544423,6544422,9957388,9954158,9954157,254691920,27060166,24270625,24270626,25766815,33556366,29405756,22075101,15969591,11084749,7350718,7350717,4643094,4643093,6917128,4345083,2601840,2601841,4345085,6917131,8102944,7350306,4642786,4642784,4643089,3481482,3167303,1854244,1854243,3167302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15220847, s2 = 15404708, dlinesl.size( ) = 2 s1 = 15220847, s2 = 15404708, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15220847, Dl.E( ) = 52, 2.48e-05 seconds used appending s1 = 11165814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8043791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14229162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14229162, s2 = 4643222, int(edited[s2]) = 0 s1 = 14229162, s2 = 4643222, d1 = 20, d2 = 17 Dl.O(d1) = 261281491 Dl.O(d2) = 186744687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14229162, s2 = 4643222, dlinesl.size( ) = 2 s1 = 14229162, s2 = 4643222, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14229162, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 13463498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15456370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15456370, s2 = 13463497, int(edited[s2]) = 0 s1 = 15456370, s2 = 13463497, d1 = 43, d2 = 23 Dl.O(d1) = 266989046,240545427,240545425,274862834 Dl.O(d2) = 99751963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15456370, s2 = 13463497, dlinesl.size( ) = 12 s1 = 13416236, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7824578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7824578, s2 = 7612053, int(edited[s2]) = 0 s1 = 7824578, s2 = 7612053, d1 = 38, d2 = 18 Dl.O(d1) = 255767514,43818247,34552234,34552236,26816847,19953571,19953574,19955008,14289170,9832495,6458839,4048007 Dl.O(d2) = 269350592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7824578, s2 = 7612053, dlinesl.size( ) = 32 s1 = 13600491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13600491, s2 = 15329819, int(edited[s2]) = 0 s1 = 13600491, s2 = 15329819, d1 = 32, d2 = 30 Dl.O(d1) = 46509654,57865790,70567559,270795073,259266611,262140265,263071131,174484059,163649105,151774605,139073023,139073022,151774601,163649103,151774710,151774599,151774600,151774608,139073127,139073128,262140255,174484082,184131568,184131558,174484054,163649097,151774592,139073010,139073011,261618977,139073051,125734076,125734078,139073056,151774606,262625883,163649191,174484089,184131575,183959783,174297245,261605088,138864006,261051776,111725443,97803265 Dl.O(d2) = 85825319,80837828,80837829,89364267,75602629,75602628,89364265,84334629,70776093,58058428,46685072,46685071,58058425,58058429,64093200,77237449,64093202,52245939,41909012,32969612,25247251,255247351,9067103,5928801,3707114,254202463,1287959,2220117,3707123,5928829,9067155,8736678,5687811,3538301,3538302,2106270,1212978,684345,684348,1212986,2106330,3538518,5688249,8737485,8737486,12848943,18119392,12848130,8736993,8736992,12848120,18119371,13282206,9066201,5928272,5928274,9066208,13282220,18674363,18120619,12848875,12848873,18120612,24558941,32140901,40918115,41901276,41901277,51055989,40914150,40914149,51055988,53022279,42581888,33564823,33564825,40196557,47430062,37522444,37522443,38567859,257546833,72611027,86208648,77545515,77545516,91476998,105701617,117629009,113370707,99370565,85429652,85429651,85429656,99370570,103498167,89404068,75642971,62698883,256109518,40929498,256109516,32152053,32152052,40929497,51069916,62698880,73118289,60378325,60378324,73118287,86723739,94784361,80712187,67238881,54914045,44104138,44104136,34948196,26873179,268172235,14318850,19995427,26873175,34948190,257300405,28368592,255382993,10482104,10482105,255382995,28366686,21150287,21150290,15197941,15197942,21152882,23675771,23675770,256375131,22007893,22007892,17468252,17468253,23801082,31287682,36865080,28367094,28367092,21151296,21151298,21152585,255018635,268067271,21153630,21152724,21152725,28369615,28367502,28367501,23868977,23222905,21151814,21151813,28368540,23223440,16950254,16949334,16949331,23217752,16945284,11859777,255138289,23217379,28365798,21149566,15195826,10481378,10481377,10481847,10481848,15196758,16949394,11862405,11862199,7927704,5039559,254561593,11860908,11860907,16947101,23219889,30642896,39240221,38395494,29823117,254819594,17357268,23677458,31164176,30645485,30645484,256012143,17469035,16945257,11859760,7926348,7926346,11859757,12316093,11859826,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,15197058,10482006,10482003,11859680,11859682,16945148,23217563,19104693,13640359,13640299,13640300,19104611,21153688,23677339,23677340,30641880,25737707,25737708,33517254,36951394,30643700,30641776,23218568,16945996,16945997,16950659,11863275,11863276,11861747,7927439,5039428,3050953,1777348,1013306,571184,571181,1013296,1777325,3050902,254561567,257015927,57551215,57550910,46228152,46228153,57550914,57551529,258231289,49570874,44084596,34763518,26739884,26739881,19902853,14257116,14257113,19902872,26740216,34764238,34883398,26824962,19958775,14290862,9817603,6450248,6450252,4047709,2423299,1401973,1401970,2423369,4047757,2423316,2423313,4045348,2422600,2422598,4045416,6453292,254968005,19971353,257299271,66436769,257277821,43622984,54263554,66436772,79510055,66125743,66125744,64789702,52871061,42467309,33474027,25700971,19074937,14313969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13600491, s2 = 15329819, dlinesl.size( ) = 12 s1 = 13467838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14229216, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13470486, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13476986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13479068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14075280, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14075280, s2 = 7986643, int(edited[s2]) = 0 s1 = 14075280, s2 = 7986643, d1 = 50, d2 = 53 Dl.O(d1) = 256999998,11730948,11730947,11730992,11730997,16778281,23018743,23018772,23018774,19774278,19774279,24139679,30767088,24848497,18352441,13029241,254433292,24848499,26585316,26585315,34572306,34566088,26579652,19776701,19773959,19773958,26576287,30332794,30332795,34565565,255906406,30769468,30757757,30757756,39358492,43838042,34566200,26579798,19776823,19776824,26579800,28958610,28958611,31265556,34571912,30767833,30767834,37501477,39370299,30769511,28958590,21677094,15638261,15638260,255092912,26579713,255471646,26578755,26578757,34565400,31585429,24079556,17722355,17079429,17079428,21375241,21375240,23335113,29314856,30086944,26585381,26575793,22553629,16376531,11397392,9738008,9738007,14164412,19775199,19775289,19775691,19775690,26578462,26585337,26579310,26579312,26577743,19776116,14164992,14164994,14163819,14163818,9738033,9738036,14164368,9737985,6403608,4017694,4017692,6403601,9737969,14164340,14164514,9738059,9738058,14164510,14165350,19776596,26576704,23445568,17170500,17170502,23445574,26577776,19775054,14164303,9737950,8044254,8044255,9737617,11991657,8043667,5134019,5134018,8043662,254782804,23345362,21199399,15542757,10749354,7101870,4471404,4471406,2880834,2686081,2686078,4470714,5602938,8618581,11378881,7559761,7556254,4778684,2879854,2879858,4778700,7100515,10747312,11374106,7556315,4778170,4778171,4778721,4472021,2686788,2686789,4472026,7102952,7289161,11010998,15884236,16348284,14935324,10752263,10752262,15546539,11376546,11376545,16349105,254815110,10751767,11375547,7862125,4990192,4990193,7862128,11378127,11378126,16351040,21093858,15151722,10449555,10449554,15151720,254104468,11380691,11380693,16348127,11375689,7557614,7557612,4780404,4780406,4780311,2880711,2880712,4780317,7559818,11378961,11381221,12174586,8206360,8206361,12174590,17295955,23608377,28831626,21561087,15540048,15540047,10753043,10752512,10752511,15546841,16340858,16340857,16353053,21041015,15113346,254761618,28239710,22514562,22514563,23658105,17341179,254395578,7553586,4776706,2878882,1670775,950624,950623,1670770,2878868,4776679,7553542,11369838,16340959,12136786,8166716,8166717,12136789,12180250,8212025,5283145,5283144,8212022,12180244,17302306,23615375,31098992,39770028,49789743,254264166,31079967,23596593,21568906,21568905,15883866,11010707,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,8229447,5300858,5300860,7550440,5959693,3727016,2877281,2877283,4773590,7547904,6524957,4088288,4088289,6524965,9928259,8225616,5308623,254088980,12204418,12204420,17329425,23646299,23575397,17263955,17263956,17333245,12208024,11718761,7820736,4962875,4962874,6525474,9929096,11360617,10453908,10453910,15158448,11355622,11355624,15155460,21098892,22495104,16321343,11355013,11355014,16321349,22004384,15903731,15903732,15628612,10814889,10814885,15628603,21664241,254838506,268640181,22526666,29882095,29857420,22493191,16319767,11354024,11354025,16319770,16305639,11345074,11345076,16305647,16304388,11344313,7542605,7542604,11351622,16235379,16319801,11354046,7543933,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540822,11348350,16310722,22482180,24540317,24540316,23569441,23569440,29847161,22481351,22481352,22472742,16303118,11343592,11343593,255074924,15978060,22084080,29414312,22478758,16307951,11346626,11346627,16307955,22019166,29350767,22473319,16317479,11352553,11352554,11723823,11723824,16769703,23008919,22083409,15977517,11091519,11091518,15977513,22083400,21080519,15142234,15142236,16305263,11345320,11345322,7540161,4769621,4769624,7540170,11347127,16308779,22476180,22019333,22019332,21569266,21569265,28840558,22022753,15921647,11044402,11044399,15921638,22018257,28518281,22973768,16737183,16737179,12118056,8149144,8149147,7826036,4967304,4967302,7826028,11383426,7825055,4966583,4966582,7550696,4775110,2878051,2878052,4775122,7550744,11045618,7320495,4780638,4780635,5253941,8184314,8150877,8150879,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921942,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879539,4778044,7556077,9966950,9966947,14485810,20188183,17259758,16356850,11382961,7562583,4781987,2881639,2881642,4782000,7562604,11382994,15546181,10753578,7104545,7104546,10753582,12153999,8184474,8184471,12153990,11358404,7546408,7310087,7310088,10588069,11468354,7628366,4826396,2908496,1687326,959604,540896,540897,959611,1687342,2778563,2877360,2877365,4773775,7548260,11361384,16330255,11383792,7563116,4782270,4782267,4782580,2881920,1672254,951330,536447,300794,166601,91715,91714,166594,300783,536373,951183,951241,1672070,2881554,2877656,1670164,1670165,2877662,4774389,7549470,11363191,11364231,11035347,7310041,4613819,2778241,1611748,916963,517340,517339,916956,1611738,2778221,2877219,2877217,4773432,7547599,11360337,14435014,254393510,13330367,9108245,5959762,3727045,2231467,1294104,738635,738636,1294107,2231472,3727057,2445847,2445845,4088289,6524965,9928259,8225616,5308623,5308622,8236295,7545625,4772335,4772334,7545618,9929888,9929890,10746842,10746844,15539221,21560232,28830882,29288322,21962109,15868791,15868794,21962095,29288301,30847677,30847678,29614943,29614938,38182004,48093458,38182112,37560426,29013984,21726381,15680412,10855554,10855557,15680427,19453124,26151839,33993342,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650295,17863689,24238846,31739434,24230229,17857345,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962249,29288564,37857202,47780838,38456218,29899438,29899439,38456221,40430359,50468171,58866186,71589139,59882702,48491172,38577939,30007035,22636886,16448683,16448684,22636890,30007046,255051596,50470069,50470569,40445437,255591174,40445452,50481751,50470663,47561544,256357005,29106061,37655591,47561542,255949012,47493115,58541063,48093308,38181617,38181618,48093310,40440689,40440688,50477554,58873576,58864916,47482897,37577165,37577164,47482892,58864910,60210357,48814108,47475251,37569444,29022936,29022937,37569450,31746214,24235559,17861084,12648346,12648344,12648353,12648355,17861098,24235595,31746270,40440843,47494644,46693604,46693602,47479601,37573795,29027024,21736846,21736844,29027015,37548572,47456474,42625582,33601065,33601069,42625603,47780402,59179627,61969592,50482013,50482014,49728543,48093528,38181811,29614785,29614786,37556390,37556394,37566847,39825202,39825203,31742716,31742715,40436846,47468868,47295986,37386631,37386635,47295996,38067162,38067164,31740490,31740494,37386442,47295690,47295814,47468603,37561673,37561675,31750888,24239372,17863995,17863999,24239388,29549411,29549410,38112228,48021764,59408295,61971321,50478198,47478368,47478369,58860876,59179957,50468219,50468217,50473441,50473442,50499576,47492297,37587865,29040326,21747892,21747893,29010199,33332187,25572447,18963422,18963423,25572453,33332200,42312526,52699614,50472127,47296054,37386679,28846399,24230965,17857814,12646318,12646313,17857805,21574406,21705001,28988772,37533515,47441415,49777902,47295796,37386496,29549428,22205787,22205785,29549421,38112251,48021813,59408348,59408448,59408445,61964798,50482008,40445627,31750871,24239361,24239358,31750857,40445591,50481948,58686915,47296007,37386652,37386653,47296013,50497828,47493014,42312458,33332167,33332168,42312465,40436905,40436902,37386693,28846406,21574488,15551287,10755666,7105927,4473744,4473742,7105915,10755643,15551251,21574420,28846316,37386575,38519957,47295769,47295768,37386484,37386482,47295777,58686641,257682791,40437834,257099489,61968854,257131452,71901024,59162851,47764027,47466253,37559293,29274575,29274577,37841129,37841114,37841116,47763765,51094498,40951284,32171860,24585951,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755566,49818511,47496358,255432472,22671301,22671302,30046607,31530091,24027898,17677310,17677311,19171059,18556729,13403696,13403697,17677304,17677305,21067728,15879592,11007772,11007773,15879595,21973621,29300761,23878004,17532961,15151396,10449346,254403374,15150308,10449791,10449790,15152126,21094459,23079444,23079445,22473648,22473649,24041241,21093329,21092478,21092479,16260108,16260109,22426736,29792637,28300567,21092142,15150555,15150556,21092144,28300568,36426563,28274289,21092321,21092002,21092001,21093323,15151318,10449310,10449308,15151316,21093314,21963222,15869514,10999021,7417397,7417398,11179245,16095302,22229459,27233216,21093363,21093361,22170296,29511332,35356657,27234005,20304669,20304670,27234008,35356661,36796917,255807879,15150113,10448634,6888109,6888108,10448632,15150108,21091390,17299291,12177379,12177377,17299281,14514706,14514707,20227101,25088237,25088240,25089868,27133036,23768677,20227167,20227168,27133029,20227250,14514802,9987660,9987657,13175565,8981515,8981514,13175801,18543314,25088408,25088214,18543171,13175713,8981458,5863737,5863735,8981452,13175701,10588627,10588626,15331091,21298721,28519601,32786492,41702453,48878797,254769106,22972968,16736447,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,23645696,17580675,12408651,12408649,15157542,15229142,10505187,6927040,6927039,10505179,15229126,21099193,21099194,22512914,22512915,29871698,29791126,254514026,267886898,25299410,18724864,18724865,254780942,52308796,255914850,256954208,119688869,120124670,119688867,119688869,105912547,91705292,268665166 Dl.O(d2) = 42307495,33327058,25566432,18955674,13519167,9251160,254447343,2270950,1317092,751501,751502,1317095,2270957,3790959,6058819,9251165,9251166,13519176,14482047,20185186,254404206,10558162,255391565,21476116,268242680,17155958,21454195,15455454,10686186,10686187,8383927,5410296,3325883,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,8371783,6950125,6950121,6059256,6059254,6065691,3795140,3791147,2271071,2271070,254447365,2614756,2614757,4363138,6942506,10526615,15257843,13536000,254526324,21242202,15274896,15274895,21242200,20969814,15059767,15059768,20969815,25571081,268146855,9256973,6062687,3793221,3793224,4729959,2849724,1653400,940481,940480,1059321,1059322,1856063,3170338,5196100,8110416,9260439,12380990,9081669,9081670,10570023,10564091,8371139,5402592,5402593,8371144,6533629,4093820,4093819,6053604,9242957,13508721,14448797,258534001,95210002,255326766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14075280, s2 = 7986643, dlinesl.size( ) = 44 s1 = 14119186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119186, s2 = 6817479, int(edited[s2]) = 0 s1 = 14119186, s2 = 6817479, d1 = 45, d2 = 54 Dl.O(d1) = 175838174 Dl.O(d2) = 258819964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119186, s2 = 6817479, dlinesl.size( ) = 42 s1 = 13482336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13484938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13484938, s2 = 11059692, int(edited[s2]) = 0 s1 = 13484938, s2 = 11059692, d1 = 72, d2 = 18 Dl.O(d1) = 9129148,7847840,4981665,3009348,1748074,1748079,1748405,994186,994183,1748415,3010008,4982784,7849747,7849494,6008178,6008182,9179617,12709385,13144222,11754002,10930861,10930858,15222480,21184067,16670125,15618450,15618447,11755932,11755931,16811495,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,13704106,19188496,16811996,13457750,11756988,11756989,13457732,16808065,18884786,24705179,21184634,15222906,15222903,18539499,13173130,13173131,18539502,25083531,255540196,40858310,50992377,49045408,39115785,30618098,23197050,23197051,22398763,22398765,29760443,38330840,37271391,31134905,30291058,22892746,16663112,16663115,16237738,16237739,22398732,26994658,26994661,35079369,28274538,21071146,21071147,28274548,29182767,37743609,47665490,38333772,38333768,48244076,59631141,61324433,49841164,39817616,39817613,31704496,31704498,40396604,49240559,53725219,61347501,61347500,61324464,51272735,51272737,58290177,49388914,49388915,50991763,50296628,49321772,49321773,42464220,42464222,52868044,58566152,47177348,37394232,28853717,28853714,37394222,30682326,23265608,23265609,30682329,39279258,40856574,50990976,58026216,46654317,46654318,52569644,48657160,48657161,60053621,71966808,71005508,65781768,53725224,53725222,65781761,73580290,60830440,53725171,53725173,60641199,59178945,47779793,37856255,33420522,33420524,40857582,50991772,62613729,75551404,87155002,73536672,73536654,73536655,62210910,50691211,50691210,58026691,46654768,36770176,28274941,28274939,36770169,46654747,58026660,49428146,39496845,39496843,49428141,60541555,72639081,59897379,48503570,48503569,59897364,48657171,48657172,60053637,59228926,47831047,47831049,50602192,62100741,58012188,46637761,46637762,58012199,62742428,75689796,85554230,71966749,59228888,59228889,71560360,71560356,62612184,62612183,75549989,81072519,67604499,55262869 Dl.O(d2) = 254639398,25108711,18559481,13188284,9208235,9208233,13465902,10989956,7275120,7275119,10989952,15855964,21944716,23106721,17693689,12514433,8478120,8478119,12514429,17693678,21158600,15202726,10485962,10485964,15202734,21158616,21707043,21707042,22424652,16258493,11303748,7504747,7504748,11303749,16258495,22424656,21929740,21929739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13484938, s2 = 11059692, dlinesl.size( ) = 20 s1 = 12142994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13486964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077470, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12144002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12144002, s2 = 11657717, int(edited[s2]) = 0 s1 = 12144002, s2 = 11657717, d1 = 13, d2 = 17 Dl.O(d1) = 112675926,272182317,126538551,259922422,71185600,258679997,98681530,112675935,112675908,112675909,126538532,139901705,139901724,139901703,126538550,112675927,112675928,126538536,139901711,152609666,164463723,164463724,175243147,184808536,184808538,184808537,184808554,184808553,193160067,263496992,175243152,164463729,164463730,175243153,184808546,262706350,189815833,189815832,180930425,170803202,170803203,159465189,259368442,133846562,147090656,159465184,147090660,259986578,147090662,133846568,133846567,133846578,129874958,115977267,261295423,155757100,262330892,262590014,166461431,272785030,177044318,166461443,166461439,166461440,166461433 Dl.O(d2) = 100510558,114540581,272876596,128423435,114540578,100510552,100510553,114540579,125697586,125697585,139036037,261693398,261693400,192556431,184103968,174453172,163614871,272548616,175820711,261144126,259966726,158816318,158816319,165094697,260566800,272201290,174453173,261144130,271792764,170170898,259348530,146447894,133215675,133215676,258723392,133215674,258099750,158816323,163614873,260566792,125697587,125697588,139036041,140599665,140599667,140599666,139036046,125697592,260157116,148087251,135680777,135680776,148927395,161239519,171535712,261144122,151738389,151738391,151738390,148087253,134963946,121153875,106885682,258295026,134963948,148087255,160331638,261282120,161239523,148927401,148927398,135680778,121736896,107355653,92950922,78844353,78844352,92950920,78844363,78844362,92950937,107355674,121736905,107355676,92950939,78844367,65512174,53488840,43010748,33954007,33954006,43010746,257117220,78844357,92950930,107355640,92950910,78844343,65512159,65512160,258312228,107355645,260178518,107355632,92950903,78844339,73549999,60802958,49402330,49402331,59444242,48052772,48052773,59444244,60321947,48923481,258182142,85776484,256451046,48052719,255950868,42103193,52455720,64322923,59444253,268236370,58757281,48811491,48811490,60208585,72182332,85776486,256449012,59444269,59444219,48052748,38139427,29573144,22226288,22226287,29573134,22226283,16092905,16092906,16092908,16092909,16092915,22226296,29573159,255949080,255122072,29573156,29573157,38139442,38139410,255895507,22226281,29573130,38139407,48052724,38139446,38139447,48052787,59444257,72182381,85776526,99730048,259434474,127206862,127206864,113348372,113348346,99345782,85401818,85401817,86573079,86573077,99345804,99345833,99345832,113348345,258810604,260051656,72182335,72182337,85401763,85401764,258810600,99345760,85401798,85401796,99345757,85401856,85401857,99345819,86573080,85776496,72182346,59444214,48052745,269338379,72182349,71812995,59071823,59071824,60211075,48815193,48815191,60211072,72950037,270863447,114541103,113348340,113348334,99345751,259962391,127206838,113348314,99345722,85401775,259343727,99345749,113348332,270346158,85401787,85401786,99345742,99345828,99345827,99345707,271324427,85756349,85756350,99710464,113348321,99710544,85756418,72161805,72161806,85756421,99710552,99710530,85756410,72161801,59422709,268941369,29552396,29552397,38117182,48030250,59422721,59422691,48030236,38117174,38117175,48030238,59422696,72161777,72161820,85756438,99710580,113724888,127593457,127593469,113724843,99710521,259966457,85450535,71865620,71865621,72161772,85756376,95194143,94863134,80797406,67328619,55000323,55000322,67328618,80797404,94863133,259192268,84097260,84097263,97970805,102619605,89777246,75999863,75999862,86258406,259646254,95194139,109449209,113743971,99730026,85776494,72182341,72182340,85776493,74971360,62159803,60583880,60583879,62159742,50650688,50650689,62159744,67670501,55330815,55330814,67670498,74971295,74971296,88613239,86827512,86827511,100286925,86324780,269493654,48597845,38681637,30104613,30104612,38681635,48597844,59989766,62159815,62159814,74971371,81136725,95194141,100814543,88613222,88613223,102619607,116715729,102619641,102619640,109423024,259159265,257909601,44458421,44458420,55303138,50650757,50650756,62159809,68140978,81631087,74971303,62159750,50650693,40600793,40600794,256812634,50650760,40600860,40600859,50650672,40600776,31892047,31892040,31892039,40600762,257111887,40600836,256054747,24364228,26998573,26998574,35083377,44458406,50650724,62159781,62920052,60467378,60467377,50650681,40600784,40600783,40040166,39133790,39133789,49063829,60467371,61538036,62920022,257664868,41078155,38133259,38133260,31892101,24364222,24364223,31892104,40600832,41078186,32273175,24666614,24666613,32273148,31892038,24364172,24364171,24364192,24364235,31892098,24364219,17968683,17968682,24364214,31892094,40600818,49063847,39133803,30535103,23116452,23116450,30535101,39133796,44458411,37214247,37214249,47111045,58488854,70416554,57721486,46371098,36512176,268740402,30035133,38609380,48046677,41406295,40600751,31892030,24364166,24364167,31892035,40600755,50650652,41078195,32273181,24666616,18204396,12911882,8783272,8783270,12911880,18204393,24666607,32273156,40600810,31892085,24364209,24364210,31892088,40600813,48046697,38133268,38133267,48046695,49063844,59142719,48828000,38906171,38906170,37214254,28689592,21438988,21438989,28689595,37214258,47111048,58488856,71210337,84778951,259018904,260262776,152637584,164488968,175265343,184828095,193177637,200343752,206397148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12144002, s2 = 11657717, dlinesl.size( ) = 2 s1 = 12144002, s2 = 11657717, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12144002, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 14906671, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13493180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13493180, s2 = 7858249, int(edited[s2]) = 0 s1 = 13493180, s2 = 7858249, d1 = 14, d2 = 4 Dl.O(d1) = 88759948,258266688,54592176,54592177,53518645,43040358,33982882,33982883,43040359,53518648,65542551,62962265,51286855,51286851,46069120,38707442,30130259,22746816,16537886,11526435,11526437,16537844,14645594,10074539,6664982,6664980,6618286,4172826,4172823,6611703,6611702,4182512,2500986 Dl.O(d2) = 2501003,1443044,1443039,2501111,1444080,1444075,2503304,4185551,4193952,4193951,6692341,10183756,255352411,256258023,257973717,83155599,271252639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858248, s2 = 13493179, int(edited[s2]) = 0 s1 = 7858248, s2 = 13493179, d1 = 19, d2 = 23 Dl.O(d1) = 271252638,146892015,257973716,256258022,255352410,55034148,44204927,34854100,26822977,19957578,14290300,9817368,9817372,9826818,6457994,4047979,2423371 Dl.O(d2) = 2423384,2423380,4046332,2422902,2422899,4046361,6449351,6449347,9815089,14285299,19947736,26807766,33393311,33393308,42381571,42381573,33393351,33393355,42381713,51474231,51474235,63180031,63874395,52055482,41740818,32819846,32819845,41740817,52055479,63874393,76985253,258266689,61599846 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14229668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14229668, s2 = 9330521, int(edited[s2]) = 0 s1 = 14229668, s2 = 9330521, d1 = 24, d2 = 44 Dl.O(d1) = 239399686 Dl.O(d2) = 255306510,52912796,42503404,33504694,25726470,19095047,13632877,13632852,9335106,6114629,3825819,3825822,6083090,3978704,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3829240,3829245,3825920,3825921,3806324,2280057,2280055,3806321,6083107,9286053,9277761,9277762,13552282,18991651,25604052,33368680,254210242,39892762,254671832,17406714,17406715,21465582,28721729,31727560,24220851,17850397,17850396,24220850,31727559,37819428,29254104,21933089,254652536,7268477,7268478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14229668, s2 = 9330521, dlinesl.size( ) = 18 s1 = 13502358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13502358, s2 = 8194626, int(edited[s2]) = 0 s1 = 13502358, s2 = 8194626, d1 = 1, d2 = 3 Dl.O(d1) = 3010413,4983518,3010344,3010346,4983557,7851272,11289851,16239184,16822809,16819895,16819893,23069656,23677983,23677963,17357774,17357775,19479891,13940456,9568424,6278828,3931573,3931574,6278831,9568432,13940428,19479833,26187092,19871796,14237654,9787447,9787448,9980441,14504186,20212743,27114378,25997925,19326184,255513839,16817001,23065945,30476346,33667411,25861082,255359659,6757655,4234629,2531851,2531850,2338612,1355354,823755,823754,1454860,823838,823705,823703,465242,465243,823705,465191,261903,261904,465196,823761,1338827,2307354,3851118,6154970,9394927,13716055,19203921,25861115,268760979,43500684,268818089,26724603,26724604,34738486,44045475,44337935,44337934,54135838,54135837,54270024,43628251,43628253,54270039,43629058,43629060,43606944,34425889,26501587,19735938,19735939,19909487,14261366,14261363,19909511,26751151,34446697,34446700,43637876,54281634,54478078,43766159,34520694,34452277,34452278,43647034,54295388,66471543,66511701,54326771,256716505,34464199,43668230,54326767,258494323,67027466,258512399,66489857,66489858,79893458,93981582,87418362,79823336,66417638,66417639,79823342,79841044,79724766,66325047,54173427,44189333,34879161,26822193,19957016,14290006,14290008,9830880,6458010,4047975,2423370 Dl.O(d2) = 4047757,2423316,2423313,4045348,2422588,2422585,4045377,6453167,9816492,14287929,19739413,14146797,14146801,19739428,26508712,34439106,43626517,54267926,49645240,49645241,61100027,55379589,44533326,35157115,27071159,20176009,254979825,6546206,4101137,2453231,1418220,1418221,2453233,254473323,6546186,6546185,9960156,14465267,14465264,268339215,27060704,27060703,254861884,22090093,16830277,16830274,23083002,24767443,18289505,12981662,8836988,5758637,5758638,256594833,38682446,254325090,11512308,7658225,4845541,4845542,254486470,16518943,22724134,19824361,19824362,17853741,13311876,13311877,12792379,12792378,9092824,9092823,10292763,10292764,7156721,4507289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13502358, s2 = 8194626, dlinesl.size( ) = 2 s1 = 13502358, s2 = 8194626, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13502358, Dl.E( ) = 6, 7.15e-06 seconds used appending s1 = 8194627, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14229700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13506304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16067462, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14229794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14229794, s2 = 1016072, int(edited[s2]) = 0 s1 = 14229794, s2 = 1016072, d1 = 9, d2 = 2 Dl.O(d1) = 47969492,38155446,29589070,22240812,22240813,27968454,36427372,40737981,40737982,50084539,58364057,46993986,37108778,28600173,28600172,37108777,46993985,58364056,71080221,84642622,98565382,91848637,77924336,64733349,52817588,256199360,28008087,28008088,36466926,32823061,32823060,41744069,32823070,25118918,18567797,13194680,13194582,8994929,5872644,3666898,2194914,2194906,2194905,3666882 Dl.O(d2) = 32823064,41744075,52058583,256659875,33425365,42416023,52817569,255669054,39219276,39219277,32823219,25119053,18567902,14367656,14367658,20053435,26939396,25531343,25531344,33292925,33374619,25609781,18997001,13556992,9281459,9281458,13556986,18996990,18567984,18567983,25118508,25119203,32823364,41744368,52058862,42274501,42274503,34662535,26669770,19853393,19853392,25118760,32822914,41743943,52058496,49079114,42274439,33292991,25531445,18920812,18920813,25119068,18567910,16930956,16930957,23200164,30621999,30622038,33292969,33292970,30551279,30551280,33292944,25531363,18920721,13488568,13488569,18920728,25531376,25609771,32823353,41744360,41744334,32823320,25119168,18567988,13194797,13194799,18567995,18568025,25119211,32823379,25531569,25531570,33293082,39440641,39440640,41744187,32823151,32823150,41744183,43863504,42274497,33293068,25531554,25531552,33293063,42274429,39219263,30622020,23200178,16930963,16930960,23200175,30622014,30551324,23200224,23200223,254924866,42274840,42274839,43863505,255843846,52661966,42274576,256650209,25531761,18921109,18921110,25531763,33293273,42274669,52662028,49079123,255265402,23133159,16872924,16872925,23133160,30551269,30551298,268749088,13488899,9228773,6044326,254652445,13488895,18921106,25531759,23133124,16872901,11803665,11803664,14223809,14223808,18921019,23133163,18921623,18921622,23200133,16930924,11849693,7919923,7919924,11849696,16930929,23200144,30551302,34663057,254652414,255265404,255669018,42274682,49029317,255669014,39112298,256133770,39493783,49423704,268026400,35174375,27086022,27086021,35174372,30515129,30503855,23089655,23089656,16843144,16843145,16930915,18921214,25531896,25531924,33293328,25531820,25531821,25531836,18921158,18921159,18921647,25532278,18921563,18921564,25532296,30504297,33293309,25657258,19038598,18921551,18921550,14188478,14188479,19808237,19639850,19639851,25531859,18921173,13590268,13590269,13590230,13590231,19038609,18566303,13193614,11045847,7320606,7320607,11045853,13194827,18568057,25119254,29355049,29355048,37921968,37196760,33293794,33293375,25531890,18921204,13488965,13488966,17803706,24171159,31679257,31069607,23585423,23585422,18921682,13489281,9228995,6044455,3782006,2265576,2265574,3781999,6044441,9228968,13489222,18921587,25532319,19639857,14076255,14076257,13590260,9305440,9305421,9305418,13590217,19038584,25657245,33425391,42416049,42416050,52817590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14229794, s2 = 1016072, dlinesl.size( ) = 2 s1 = 14229794, s2 = 1016072, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14229794, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 13514374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14229954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15549607, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14229974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14230016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14230016, s2 = 13335180, int(edited[s2]) = 0 s1 = 14230016, s2 = 13335180, d1 = 6, d2 = 6 Dl.O(d1) = 48256006,59642738,59642743,59642742,72377061,60482136,60482137,60482138,70721039,60482135,49078594,39148590,30550684,30550685,39148592,36742610,28246748,21046787,15117581,15117580,21046784,28246744,36742604,46630393,58005493,70721033,259272053,84272533,84272532,72253449,72253450,85844967,99797718,113811754,113811756,99797720,85844969,85844968,99797716,85844966,72253453,59519457,59519456,72253451,72253447,59519455,48132169,38222084,29656162,29656163,38222087,38222083,29656161,256398250,22304465,16158605,16158606,22304469,256398269,48132173,49297920,39371164,30770517,268662875,49297921,59519458,48132172,39371163,257606793,73447272,87064751,101060432,99669572,99669574,87064747,73447265,73447263,87064743,101060420,101060422,101060423,115134869,129062502,142436278,129062503,128338441,114461581,114461582,115134874,270901760,129062276,129062275,258877916,105455028,257063874,256012502,43843873,268679062,38418870,257535541,59714127,60698600,256303146,30769703,30769704,26585054,26585052,34572117,43843872,43843874,39359151,30758289,23335625,255978709,34562796,26575897,26575896,30769719,23346728,23346727,30769718,39370126,30769159,30769161,30767069,23345823,23345822,30768925,23346152,17079389,11992001,11992000,8044084,5134250,3121565,1824471,1824472,3121546,5134216,4017863,3121525,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,11991931,11991934,17079273,15393999,10639008,10639010,7023505,7023503,10639027,15394030,21375282,23344997,17078554,17078552,23344988,26585479,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163507,19773738,26575998,26577500,34564435,39359149,39359150,43835803,39370290,34564889,30768432,23345290,17078756,17078755,23345288,17080430,11992656,8044250,8044249,11992654,17080427,23347472,22531641,16358682,16358680 Dl.O(d2) = 48256006,59642738,59642743,59642742,72377061,60482136,60482137,60482138,70721039,60482135,49078594,39148590,30550684,30550685,39148592,36742610,28246748,21046787,15117581,15117580,21046784,28246744,36742604,46630393,58005493,70721033,259272053,84272533,84272532,72253449,72253450,85844967,99797718,113811754,113811756,99797720,85844969,85844968,99797716,85844966,72253453,59519457,59519456,72253451,72253447,59519455,48132169,38222084,29656162,29656163,38222087,38222083,29656161,256398250,22304465,16158605,16158606,22304469,256398269,48132173,49297920,39371164,30770517,268662875,49297921,59519458,48132172,39371163,257606793,73447272,87064751,101060432,99669572,99669574,87064747,73447265,73447263,87064743,101060420,101060422,101060423,115134869,129062502,142436278,129062503,128338441,114461581,114461582,115134874,270901760,129062276,129062275,258877916,105455028,257063874,256012502,43843873,268679062,38418870,257535541,59714127,60698600,256303146,30769703,30769704,26585054,26585052,34572117,43843872,43843874,39359151,30758289,23335625,255978709,34562796,26575897,26575896,30769719,23346728,23346727,30769718,39370126,30769159,30769161,30767069,23345823,23345822,30768925,23346152,17079389,11992001,11992000,8044084,5134250,3121565,1824471,1824472,3121546,5134216,4017863,3121525,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,11991931,11991934,17079273,15393999,10639008,10639010,7023505,7023503,10639027,15394030,21375282,23344997,17078554,17078552,23344988,26585479,34564464,30767847,26579985,26576156,26576155,23343841,23343843,21677037,16777970,11730814,11730812,9738498,6403870,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163507,19773738,26575998,26577500,34564435,39359149,39359150,43835803,39370290,34564889,30768432,23345290,17078756,17078755,23345288,17080430,11992656,8044250,8044249,11992654,17080427,23347472,22531641,16358682,16358680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14230016, s2 = 13335180, dlinesl.size( ) = 2 s1 = 14230016, s2 = 13335180, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14230016, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14230076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16201538, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13534960, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13534960, s2 = 14050789, int(edited[s2]) = 0 s1 = 13534960, s2 = 14050789, d1 = 12, d2 = 10 Dl.O(d1) = 263150239,262370640,131425655,117624694,117624695,259541210,88429725,74797730,62001314,257684692,258916474,77494582 Dl.O(d2) = 22288630,16144917,11216367,11216366,16144916,22288629,29584326,34997281,30357031,22957178,22957177,30358816,38945037,48864798,60257868,49317173,39389397,30787090,23361784,23361785,30756726,30756725,39357585,39510726,30902610,23468300,17188069,12085860,12085859,15033682,13297727,13297728,18690877,19536617,19536616,20904126,20904127,26427010,256190387,23468296,17188066,12085855,8127464,8127465,12085857,17188068,23468298,30902609,39510724,49442181,60844080,73593632,87215754,101216692,97957271,84083413,70546306,57844225,46488020,255555864,28147586,28037213,20869167,20869168,27289732,27289731,35414233,27986812,20822014,20822015,27986813,36446184,46299552,57644287,70334754,83859871,256629066,111639055,125441339,138769814,151470875,163354361,174206993,183876968,192352298,199650247,205824395,210930556,215102691,218537633,221427432,223904444,264622030,227921796,229566391,231028113,232339471,233524999,234602266,235583084,236476574,237291382,238032447,238706659,239325583,239895501,240422235,240910566,241362498,266824100,242166951,242524961,242858192,267024268,267065718,243637203,243359301,243359300,243359299,243062847,242747143,242407993,266851158,241645970,266661820,240251029,239710434,239125963,238490363,237796397,237032871,236197199,235279972,234272501,233163939,231938384,230578937,229053167,227324738,225346696,274434461,220430725,217323483,213592362,209036589,203486332,196858651,189113628,180170506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13534960, s2 = 14050789, dlinesl.size( ) = 16 s1 = 8395635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8321129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8321129, s2 = 16045375, int(edited[s2]) = 0 s1 = 8321129, s2 = 16045375, d1 = 33, d2 = 31 Dl.O(d1) = 63324165,76355444,90183727,104336242,259694446,132360316 Dl.O(d2) = 35148307,255660652,47424641,38011255,37346554,30909013,30909014,30909015,23473555,255153761,12088982,17192120,23473561,30909027,37819089,29253812,21932808,21932807,21480432,21480431,28738131,29607942,29607941,26114297,255136588,21691356,21691355,28973883,30221866,22829675,16608481,16608479,22829668,30221855,38805376,37954489,32996572,25272288,21690935,21690934,21690897,15651044,10832992,7161019,7161018,10832990,15651040,21690890,28973229,37516870,37821017,29255800,21934945,21934944,23473586,30909065,39518069,49450128,58799140,58799141,71528219,85099533,99024122,258726012,85099535,99024124,113011896,126863639,140210185,152900330,164731491,263511937,193354899,185024564,185024565,263870593,185929425,176499637,165844331,272868382,271812512,100110264,86144131,72545826,59810803,48424951,38517537,29952906,22589154,16406661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8321129, s2 = 16045375, dlinesl.size( ) = 24 s1 = 10997341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997341, s2 = 11391236, int(edited[s2]) = 0 s1 = 10997341, s2 = 11391236, d1 = 28, d2 = 29 Dl.O(d1) = 254476074,16978979,23245473,30662873,256605647,51736785,61426974,257385366,31257506,23772777,17443812,12296225,12296227,15415517,11966915,11966917,17058126,17058211,22605055,22605059,17058161,17058159,12295181,8304251,8304253,12295184,17442035,23770225,28407125,28407126,254890184,16086753,16086754,17443718,23772634,256009525,17443008,12295744,255558745,31256170,39931150,256157200 Dl.O(d2) = 261473310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997341, s2 = 11391236, dlinesl.size( ) = 40 s1 = 12151632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2622947, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15921241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15921241, s2 = 4420376, int(edited[s2]) = 0 s1 = 15921241, s2 = 4420376, d1 = 11, d2 = 39 Dl.O(d1) = 60780773 Dl.O(d2) = 173979978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15921241, s2 = 4420376, dlinesl.size( ) = 52 s1 = 12152778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13557370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13557370, s2 = 16235205, int(edited[s2]) = 0 s1 = 13557370, s2 = 16235205, d1 = 0, d2 = 0 Dl.O(d1) = 38811252,48731504,60126149,258175043,60126112,72862909,86458430,90683877,104851998,104852000,100415490,100415491,100415496,90683884,76815500,76815501,90683867,76815480,63714477,51907606,41607349,32703888,25019842,25019843,32703889,41607351,51907610,63714481,76815483,90683864,76815509,63714498,63714497,76815506,90683892,81545130,81545129,95575598,95575595,95575596,90683870,76815487,76815488,90683871,81545138,81545137,95575604,109775707,123912599,137593536 Dl.O(d2) = 38811252,48731504,60126149,258175043,60126112,72862909,86458430,90683877,104851998,104852000,100415490,100415491,100415496,90683884,76815500,76815501,90683867,76815480,63714477,51907606,41607349,32703888,25019842,25019843,32703889,41607351,51907610,63714481,76815483,90683864,76815509,63714498,63714497,76815506,90683892,81545130,81545129,95575598,95575595,95575596,90683870,76815487,76815488,90683871,81545138,81545137,95575604,109775707,123912599,137593536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13557370, s2 = 16235205, dlinesl.size( ) = 2 s1 = 13557370, s2 = 16235205, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13557370, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 16235206, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11728807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11728807, s2 = 4142841, int(edited[s2]) = 0 s1 = 11728807, s2 = 4142841, d1 = 9, d2 = 2 Dl.O(d1) = 100901741,114954312,128854672 Dl.O(d2) = 154848053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11728807, s2 = 4142841, dlinesl.size( ) = 2 s1 = 11728807, s2 = 4142841, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11728807, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 15393541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13566360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13566360, s2 = 8602552, int(edited[s2]) = 0 s1 = 13566360, s2 = 8602552, d1 = 10, d2 = 9 Dl.O(d1) = 272315013,131195375,144425710,273596234,117392444,103263382,103263384 Dl.O(d2) = 50906699,40789921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13566360, s2 = 8602552, dlinesl.size( ) = 16 s1 = 14230676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14230676, s2 = 10338936, int(edited[s2]) = 0 s1 = 14230676, s2 = 10338936, d1 = 23, d2 = 109 Dl.O(d1) = 153673110 Dl.O(d2) = 243654553,267288540,243378170,243378172,267262431,244150230,244372516,244578484,244578482,244578483,244770414,244578493,274986197,244770415,244578496,244372522,244150239,243911275,243911276,244150241,244372524,244372530,244372529,244578502,244770409,267355994,244150242,244150241,244372524,244372530,244372529,267394867,267429505,245118932,244949815,267376296,244372528,244150245,244150244,267335015,244150227,274986195,244578480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14230676, s2 = 10338936, dlinesl.size( ) = 18 s1 = 6797722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8476368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8476368, s2 = 7823133, int(edited[s2]) = 0 s1 = 8476368, s2 = 7823133, d1 = 48, d2 = 10 Dl.O(d1) = 148464868,135294536,121436936,107132779,107132780,121436938,107132787,92786962,78720581,65415145,53411548,42945459,33899343,26073972,19389698,13870614,9543261,9426253,6176466,6176469,267760784,5524312,5524314,8525605,12571326,13900624,9539252,6258147,3927682,3860931,2345401,1358611,1358610,1341800 Dl.O(d2) = 1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,2312828,2321670,2321672,254113944,254206822 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8476368, s2 = 7823133, dlinesl.size( ) = 2 s1 = 8476368, s2 = 7823133, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8476368, Dl.E( ) = 50, 1.38e-05 seconds used appending s1 = 6983390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3396044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12365756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3634506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13582722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10195475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15179641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15179641, s2 = 7810331, int(edited[s2]) = 0 s1 = 15179641, s2 = 7810331, d1 = 47, d2 = 73 Dl.O(d1) = 121175688 Dl.O(d2) = 64543,67677,124739,226591,404564,716010,1212540,2105632,2090471,1386588,1361052,775753,775741,440385,440386,775745,1361038,2349446,3499874,267853813,5685992,5675304,3529848,3529847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15179641, s2 = 7810331, dlinesl.size( ) = 26 s1 = 14157743, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15842932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13600804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13600804, s2 = 3104461, int(edited[s2]) = 0 s1 = 13600804, s2 = 3104461, d1 = 59, d2 = 39 Dl.O(d1) = 118132510 Dl.O(d2) = 98234920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13600804, s2 = 3104461, dlinesl.size( ) = 2 s1 = 13600804, s2 = 3104461, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13600804, Dl.E( ) = 154, 4.32e-05 seconds used appending s1 = 14231210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15264132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13610732, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13610732, s2 = 13580943, int(edited[s2]) = 0 s1 = 13610732, s2 = 13580943, d1 = 10, d2 = 1 Dl.O(d1) = 95597724,95597725,95597700,95597701,109799675,120114632 Dl.O(d2) = 105902641,91695251,77767701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13610732, s2 = 13580943, dlinesl.size( ) = 6 s1 = 15273957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15273957, s2 = 14697558, int(edited[s2]) = 0 s1 = 15273957, s2 = 14697558, d1 = 34, d2 = 127 Dl.O(d1) = 70847045 Dl.O(d2) = 261308827,260736545,102143498,88152354,74537287,61753164,50272926,50272925,50272926,40251587,257086517,61753166,258259998,60148829,60148828,48754522,48754518,38834460,30250787,22856039,22856040,30250790,38834465,269358537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15273957, s2 = 14697558, dlinesl.size( ) = 2 s1 = 15273957, s2 = 14697558, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15273957, Dl.E( ) = 128, 3.41e-05 seconds used appending s1 = 16388260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14095192, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15225378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161135, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15507920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13622750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14625685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13627286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13627286, s2 = 11470981, int(edited[s2]) = 0 s1 = 13627286, s2 = 11470981, d1 = 0, d2 = 10 Dl.O(d1) = 87792484,101765194,115811209,272259353 Dl.O(d2) = 264302058,195082653,186999788,177719950,174715103,167222336,155590712,143040633,143040632,155590709,167222331,177719951,186999790,177719960,167222338,261322426,129709883,259540124,101765194,115811211,261282689,130341246,130341247,262369569,156196791,156196792,167792569,178237701,187454898,195475781,202335826,201997932,263264384,177719952,177719951,186999791,195082656,195082659,186999804,177719967,167222344,167222343,177719965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13627286, s2 = 11470981, dlinesl.size( ) = 2 s1 = 13627286, s2 = 11470981, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13627286, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 9734736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9734736, s2 = 3348296, int(edited[s2]) = 0 s1 = 9734736, s2 = 3348296, d1 = 72, d2 = 67 Dl.O(d1) = 273380270,173503219,162463533 Dl.O(d2) = 123554408,109362906,257653766,26935796,20049582,14363774,9870370,9870369,14363772,20049580,26935793,35017161,259154169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9734736, s2 = 3348296, dlinesl.size( ) = 76 s1 = 14644112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14644112, s2 = 14231595, int(edited[s2]) = 0 s1 = 14644112, s2 = 14231595, d1 = 1, d2 = 1 Dl.O(d1) = 42438526,256983207,30201108,22810164,16592631,11572044,11572045,16592634,22810171,30201116,38785514,31365412,31365411,40045674,50065011,42438459,33445551,25674886,25674888,33445556,42438467,52397469,52397471,64252979,64763284,52843117,42438495,33445574,25674901,25674900,30201069,30201070,38785435,42438837,33445925,33445926,38785444,42438408,42438407,49143331,39216646,30619517,23198077,23198078,256660937,25674907,19053300,19053299,25674906,33445581,33445863,42438882,52843412,42438775,33445784,33445783,33445765,25675037,25675038,33445767,33445630,25674938,19053312,13601651,13601649,19053311,25674936,33445626,42438571,33445997,25675189,19053460,19053459,25675012,256660963,48877124,256453719,30371441,38957590,48877123,52843693,64763686,52843732,42439124,33446037,33446036,42438787,52843427,58896360,47516716,37611871,29062606,29062608,37611875,38518708,29954017,22590143,22590144,29954021,38518714,48426314,48877134,48877133,60092271,49805109,49805107,52843366,64763448,52843376,52843375,64763467,64763600,52843554,52843347,42438717,42438718,52843350,64763439,73334899,60590561,60590558,60456222,60456221,73202836,84106075,70569554,60590549,49190248,49190249,40426336,40426335,50463975,60847341,49805128,39785804,31732333,24223958,17852341,12642703,12642702,17852337,24223949,31732315,40426323,49445740,49805134,49805133,49394293,49394294,58000240,49032484,49032483,60436512,50463938,50463939,61959857,73202844,60456232,49052749,39122786,30524641,23107163,23107162,30524634,39122770,49052723,52843207,52843208,48409750,38503882,29940194,29940192,38503875,48409738,48922667,60321210,50463965,40426333,40426334,50463971,47827120,39785809,31106518,23621261,23621260,31106514,39514328,30905899,23471022,23471023,30905903,39514334,49445750,39785817,39785814,49445744,49445745,39514450,30905979,30905976,30905942,23471042,23471043,27980767,27980766,36439861,257384395,268969856,60847368,256469684,68054906,64259972,52404512,52404513,59794626,59794625,72529864,73596946,76700339,63610310,60847337,60847336,73596893,257014412,55658093,50014364,50014363,49394335,39465784,30861570,23431279,17154723,17154724,23431282,30861576,39465792,44750038,46292964,39514362,30905923,23471031,17190103,12087347,12087350,17190107,22187668,29530167,35323818,35323813,27199918,27199917,27199852,27199853,35323728,44749901,49445778,49445777,60847379,51821653,47983702,38071650,38071652,47697353,39514433,30905970,23471062,23471063,30905974,39514439,49445890,44749969,44749968,42188992,35323643,35323644,33228670,28477598,28477597,29507775,23431269,23431268,17190089,12087342,12087343,17190095,23471016,30905888,39514307,35323836,35323835,39514373,42189188,35323631,27199788,27199786,35323629,27199926,20273058,14545614,14545613,20273054,27199914,29507820,25463977,25463978,33211503,36439853,36439852,29507830,29507831,37259258,38071477,44750065,35323887,29507843,22167418,22167419,29507846,27199888,27199803,20272984,20272983,22167455,27199808,35323662,44749827,39514252,33708781,33708782,30905879,23471010,23471009,30905876,35323758,31045544,23561979,17251356,17251357,23561982,27199794,20272979,14545571,10007953,10007952,10007978,10007980,14545621,20273073,27199948,35323767,35323765,35323764,44749928,44750058,38071527,38071528,44749800,35323756,27199872,27199871,268746831,25480339,33228917,35323623,35323624,44749792,55658016,56670147,55658012,44749790,35323620,27199780,27199781,23561941,23561942,31045493,39723969,49743289,61223094,55313360,44467491,44467492,55313361,67652761,61223092,61223093,74004303,256944094,74827495,62031013,57714887,57714888,59890473,48496475,48496474,40504324,31808919,24293876,17911720,17911718,24293872,31808916,31808911,31808912,38551881,48464484,59855333,72593039,86190607,100153522,86330902,86330903,86330904,92949248,78842633,70467090,57768115,46414598,257394863,46836124,46836123,46836124,36957905,28457666,28457665,28457666,255389083,14057176,14057175,19616502,26345494,32326142,41140601,41140605,32326147,24710908,18239138,18239137,24710903,24939893,18426907,18426908,24939895,32326143,32326144,41140602,51325025,257185843,256631217,25306480,25306479,268393653,21843373,29151590,33652581,255690511,13707820,254663183,6151072,254939627,255690513,33652582,42682904,257823995,78402125,257050506,46468078,46468077,57824798,70526925,84063716,88169957,74555083,61771534,50291794,257088185,268445789,255192855,8498741,5500354,3389998,3390000,5500358,8498746,268116615,16735652,12004185,12004186,17091496,23360252,30785467,39387683,49315439,60717285,72483702,64853978,52928505,256666315,25738412,25738413,33517941,36859301,256839199,39387654,30785443,28361171,28361170,36859313,46741009,50291795,258280195,258902653,84383945,70826294,58111153,46741008,36859312,36859313,46741010,58111152,70826293,84383943,98292772,112274400,126133542,139508301,152239346,164125991,165763283,165763282,176423927,174946967,164125990,164125989,174946965,184553138,184553139,192941869,184634194,175040037,175040038,175040030,164234164,152361468,139641006,126270547,112407630,269881920,113959186,127837851,141198921,153873587,165652417,165652418,176322845,185767848,193013297,184634200,175040040,175040039,184634199,185767847,176322844,165652416,272240580,153673438,141007889,127660122,127660123,141007891,153673440,153575916,140902223,127547552,113676886,113676887,113676876,99664291,85716810,85716811,99664292,113676878,113676884,113676882,113676883,127547548,113676890,99664298,99664297,113676889,127547555,140902229,153575908,163863863,163863862,174680625,176054253,174680628,163863865,151996224,139289929,125941234,112107670,98148465,98148466,112107674,125941242,139289939,262143923,152372633,164245291,155904719,155904701,261303431,116118190,102060245,88074387,74462049,61679117,50195700,40171895,31486855,23989785,17644744,17644743,23989783,31486851,40171887,50195707,61679127,74462059,88074396,101027772,101027777,259459157,74462067,259519111,116118206,130028080,142404984,142404983,155050783,166750172,177307937,177992309,167520430,155904721,155904720,163863842,151996202,151996203,163863843,164063273,152185999,257409494,126091856,112236731,112236732,126091859,138858400,125525291,268909622,98258649,84351149,84351148,256291550,98258650,84351151,70792351,58075159,46703162,36820663,254221018,254221020,28044591,20876565,14974558,10306822,6778381,6778382,9406888,6163132,6163130,267991825,14989095,14989094,18672106,13280177,9064449,9064448,6418212,4026489,4026490,6418215,6389820,4010149,2403413,1390708,790784,447788,251906,251907,447791,790789,1390719,2403434,4010187,6389889,9712728,14117431,19689787,24252757,24252758,31764579,40459018,50494916,53676865,43166695,43166696,53676866,43166697,43166698,34083448,34083447,43166699,53676864,43166694,34083443,26222795,255438826,9587770 Dl.O(d2) = 42438526,256983207,30201108,22810164,16592631,11572044,11572045,16592634,22810171,30201116,38785514,31365412,31365411,40045674,50065011,42438459,33445551,25674886,25674888,33445556,42438467,52397469,52397471,64252979,64763284,52843117,42438495,33445574,25674901,25674900,30201069,30201070,38785435,42438837,33445925,33445926,38785444,42438408,42438407,49143331,39216646,30619517,23198077,23198078,256660937,25674907,19053300,19053299,25674906,33445581,33445863,42438882,52843412,42438775,33445784,33445783,33445765,25675037,25675038,33445767,33445630,25674938,19053312,13601651,13601649,19053311,25674936,33445626,42438571,33445997,25675189,19053460,19053459,25675012,256660963,48877124,256453719,30371441,38957590,48877123,52843693,64763686,52843732,42439124,33446037,33446036,42438787,52843427,58896360,47516716,37611871,29062606,29062608,37611875,38518708,29954017,22590143,22590144,29954021,38518714,48426314,48877134,48877133,60092271,49805109,49805107,52843366,64763448,52843376,52843375,64763467,64763600,52843554,52843347,42438717,42438718,52843350,64763439,73334899,60590561,60590558,60456222,60456221,73202836,84106075,70569554,60590549,49190248,49190249,40426336,40426335,50463975,60847341,49805128,39785804,31732333,24223958,17852341,12642703,12642702,17852337,24223949,31732315,40426323,49445740,49805134,49805133,49394293,49394294,58000240,49032484,49032483,60436512,50463938,50463939,61959857,73202844,60456232,49052749,39122786,30524641,23107163,23107162,30524634,39122770,49052723,52843207,52843208,48409750,38503882,29940194,29940192,38503875,48409738,48922667,60321210,50463965,40426333,40426334,50463971,47827120,39785809,31106518,23621261,23621260,31106514,39514328,30905899,23471022,23471023,30905903,39514334,49445750,39785817,39785814,49445744,49445745,39514450,30905979,30905976,30905942,23471042,23471043,27980767,27980766,36439861,257384395,268969856,60847368,256469684,68054906,64259972,52404512,52404513,59794626,59794625,72529864,73596946,76700339,63610310,60847337,60847336,73596893,257014412,55658093,50014364,50014363,49394335,39465784,30861570,23431279,17154723,17154724,23431282,30861576,39465792,44750038,46292964,39514362,30905923,23471031,17190103,12087347,12087350,17190107,22187668,29530167,35323818,35323813,27199918,27199917,27199852,27199853,35323728,44749901,49445778,49445777,60847379,51821653,47983702,38071650,38071652,47697353,39514433,30905970,23471062,23471063,30905974,39514439,49445890,44749969,44749968,42188992,35323643,35323644,33228670,28477598,28477597,29507775,23431269,23431268,17190089,12087342,12087343,17190095,23471016,30905888,39514307,35323836,35323835,39514373,42189188,35323631,27199788,27199786,35323629,27199926,20273058,14545614,14545613,20273054,27199914,29507820,25463977,25463978,33211503,36439853,36439852,29507830,29507831,37259258,38071477,44750065,35323887,29507843,22167418,22167419,29507846,27199888,27199803,20272984,20272983,22167455,27199808,35323662,44749827,39514252,33708781,33708782,30905879,23471010,23471009,30905876,35323758,31045544,23561979,17251356,17251357,23561982,27199794,20272979,14545571,10007953,10007952,10007978,10007980,14545621,20273073,27199948,35323767,35323765,35323764,44749928,44750058,38071527,38071528,44749800,35323756,27199872,27199871,268746831,25480339,33228917,35323623,35323624,44749792,55658016,56670147,55658012,44749790,35323620,27199780,27199781,23561941,23561942,31045493,39723969,49743289,61223094,55313360,44467491,44467492,55313361,67652761,61223092,61223093,74004303,256944094,74827495,62031013,57714887,57714888,59890473,48496475,48496474,40504324,31808919,24293876,17911720,17911718,24293872,31808916,31808911,31808912,38551881,48464484,59855333,72593039,86190607,100153522,86330902,86330903,86330904,92949248,78842633,70467090,57768115,46414598,257394863,46836124,46836123,46836124,36957905,28457666,28457665,28457666,255389083,14057176,14057175,19616502,26345494,32326142,41140601,41140605,32326147,24710908,18239138,18239137,24710903,24939893,18426907,18426908,24939895,32326143,32326144,41140602,51325025,257185843,256631217,25306480,25306479,268393653,21843373,29151590,33652581,255690511,13707820,254663183,6151072,254939627,255690513,33652582,42682904,257823995,78402125,257050506,46468078,46468077,57824798,70526925,84063716,88169957,74555083,61771534,50291794,257088185,268445789,255192855,8498741,5500354,3389998,3390000,5500358,8498746,268116615,16735652,12004185,12004186,17091496,23360252,30785467,39387683,49315439,60717285,72483702,64853978,52928505,256666315,25738412,25738413,33517941,36859301,256839199,39387654,30785443,28361171,28361170,36859313,46741009,50291795,258280195,258902653,84383945,70826294,58111153,46741008,36859312,36859313,46741010,58111152,70826293,84383943,98292772,112274400,126133542,139508301,152239346,164125991,165763283,165763282,176423927,174946967,164125990,164125989,174946965,184553138,184553139,192941869,184634194,175040037,175040038,175040030,164234164,152361468,139641006,126270547,112407630,269881920,113959186,127837851,141198921,153873587,165652417,165652418,176322845,185767848,193013297,184634200,175040040,175040039,184634199,185767847,176322844,165652416,272240580,153673438,141007889,127660122,127660123,141007891,153673440,153575916,140902223,127547552,113676886,113676887,113676876,99664291,85716810,85716811,99664292,113676878,113676884,113676882,113676883,127547548,113676890,99664298,99664297,113676889,127547555,140902229,153575908,163863863,163863862,174680625,176054253,174680628,163863865,151996224,139289929,125941234,112107670,98148465,98148466,112107674,125941242,139289939,262143923,152372633,164245291,155904719,155904701,261303431,116118190,102060245,88074387,74462049,61679117,50195700,40171895,31486855,23989785,17644744,17644743,23989783,31486851,40171887,50195707,61679127,74462059,88074396,101027772,101027777,259459157,74462067,259519111,116118206,130028080,142404984,142404983,155050783,166750172,177307937,177992309,167520430,155904721,155904720,163863842,151996202,151996203,163863843,164063273,152185999,257409494,126091856,112236731,112236732,126091859,138858400,125525291,268909622,98258649,84351149,84351148,256291550,98258650,84351151,70792351,58075159,46703162,36820663,254221018,254221020,28044591,20876565,14974558,10306822,6778381,6778382,9406888,6163132,6163130,267991825,14989095,14989094,18672106,13280177,9064449,9064448,6418212,4026489,4026490,6418215,6389820,4010149,2403413,1390708,790784,447788,251906,251907,447791,790789,1390719,2403434,4010187,6389889,9712728,14117431,19689787,24252757,24252758,31764579,40459018,50494916,53676865,43166695,43166696,53676866,43166697,43166698,34083448,34083447,43166699,53676864,43166694,34083443,26222795,255438826,9587770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14644112, s2 = 14231595, dlinesl.size( ) = 2 s1 = 14644112, s2 = 14231595, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14644112, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14231596, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15599472, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15599472, s2 = 9462851, int(edited[s2]) = 0 s1 = 15599472, s2 = 9462851, d1 = 12, d2 = 14 Dl.O(d1) = 187407321,178181499,167726106,156122242,143586487,258290896,102329003,88333144,74705544,61912154,255590388,40387844,268118996,31694770,24186518,17817908,12615259,8563230,5572645,5572647,8536535,8536532,8511733,8511731,11819102,7897353,7897356,11819077,16890283,23151061,17386709,17386708,23710236,30739568,23319414,22833934,22833932,23681949,22184048,22184047,29526306,254606568,17818878,12615966,12615967,12620233,17824398,24072297,29664792,38231057,31678408,24170269,24169712,17802312,12601958,12601957,17802307,20148331,14455248,9944929,6536211,254691577,14455245,20150791,27043410,254871062,29092150,254872322,21794125,17712296,254559026,8490727,12529435,17712299,24068165,31573724,40260820,255964508,257010074,49914779,39894818,31217619,257640551,61398326,257425792,257058339,258249967,67761272,55421256,257919117,81227365,85413476,71825130,59084041,47684178,37762003,37762002,29200599,21888112,15811557,15811558,21888114,29200603,21888190,20299066,15811560,10957244,7252518,4573660,4573661,4127374,4127372,6587911,10023689,14566969,15811617,10957285,7252552,4573687,2751510,1594978,1594976,2751503,4573677,7252542,10957274,15811600,21888159,29200665,34698669,26704171,19883055,14246281,9793255,6438107,5648469,3623562,2163846,1251969,711694,401707,224726,125831,68435,37093,37098,64472,64468,64108,64110,69099,127596,231736,254111757,1268350,254294425,5855730,268019809,18521329,25059985,32752033,41663119,51970979,63786212,259000437,104954701,260840725,104954703 Dl.O(d2) = 104954700,104954701,119150672,104954698,90775004,259627637,85761700,72167464,59428776,256932473,29557711,22212503,16081278,11168043,7409162,255079917,11590977,7715746,7715747,11590980,14363539,9897245,9897246,10811721,7845083,4979843,3008150,3008152,4499557,2703713,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4061372,4061371,6481188,7199476,7199477,7196253,7196046,4533526,2725179,2725177,4533521,7196035,6490238,6490237,7200292,5957190,254644615,9876958,14336300,9848567,9848566,9871349,9871350,14364725,17432560,14361822,14361823,20038868,15227871,10504229,6926406,6926405,10504226,255053894,9899242,9878322,6489774,4066472,4066469,6489772,4076681,4068621,4068622,6493179,4539921,4539924,6497682,4071528,2436288,2436285,4071517,4094719,2449696,1416355,805797,805799,1416360,2449706,4063604,6481703,6481706,4883370,2942595,2942598,2449635,2449640,4094590,6535027,7832426,4971790,4971788,3003006,1743990,1743987,3003017,4971845,6488672,6488670,6479872,6479867,7144190,6504735,267870875,4066424,6481052,6481053,4102616,2454060,1418639,807003,807004,1418643,2454071,4062915,4062278,4062279,3361447,3361445,5466519,8460401,12491333,17664660,24011809,31512130,40197982,50219970,61701723,74484699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15599472, s2 = 9462851, dlinesl.size( ) = 16 s1 = 16188663, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13633054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13635980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13638702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13638702, s2 = 4834525, int(edited[s2]) = 0 s1 = 13638702, s2 = 4834525, d1 = 23, d2 = 12 Dl.O(d1) = 76991328,63880741,52062585,256620849,32828167,41748814,52062588,63880746,76991330,90869750,90712662,76842243,63738744,51929458,41626823,32720860,25034232,25034231,18571905,13197467,255244251,25123815,32828152,41748797,38328908,38328907,257290088,53359453,53359452,257290086,65362804,54607255,53359456,53359455,53359459,43864284,34593589,26606435,26606436,34593591,38328901,29758926,22397707,268405279,38328916,48238897,59625966,254811746,39143429,49073672,60476976,72360713,72360712,73413036,87030710,258197370,122903518,136735512,260660908,173191816,183044049 Dl.O(d2) = 199059785,191654926,262768254,273563572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13638702, s2 = 4834525, dlinesl.size( ) = 2 s1 = 13638702, s2 = 4834525, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13638702, Dl.E( ) = 24, 1.12e-05 seconds used appending s1 = 11145135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145135, s2 = 11196084, int(edited[s2]) = 0 s1 = 11145135, s2 = 11196084, d1 = 54, d2 = 42 Dl.O(d1) = 269798025 Dl.O(d2) = 260256872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145135, s2 = 11196084, dlinesl.size( ) = 64 s1 = 14231930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13650852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13650852, s2 = 11334421, int(edited[s2]) = 0 s1 = 13650852, s2 = 11334421, d1 = 3, d2 = 5 Dl.O(d1) = 114241432,128128218,133601905,133601904 Dl.O(d2) = 272177754,119727652,105488559,91266193,77346279,64198913,52348674,42009430,42009429,33240165,25490610,25490609,31428364,31428363,29702416,28288674,21082457,21082458,28288677,32444048,30064369,22686393,22686394,30064371,38638882,48553612,59945830,72684690,86283573,100247453,114278361,128162251,141520400,154183811,165943118,176589302,186010743,193298864,184964542,175420113,164661760,152825197,140130878,126780453,112925994,98936595,85011010,71438172,58706666,47317750,37409272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13650852, s2 = 11334421, dlinesl.size( ) = 2 s1 = 13650852, s2 = 11334421, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13650852, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 15990512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14232060, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 3808585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2844938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13679886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13679886, s2 = 4897724, int(edited[s2]) = 0 s1 = 13679886, s2 = 4897724, d1 = 39, d2 = 18 Dl.O(d1) = 258831239,260670955,142267290 Dl.O(d2) = 264130046,273879055,201603768,194624416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13679886, s2 = 4897724, dlinesl.size( ) = 26 s1 = 15666283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15666283, s2 = 2326100, int(edited[s2]) = 0 s1 = 15666283, s2 = 2326100, d1 = 17, d2 = 7 Dl.O(d1) = 158665309,146297112,133069588,133069587,146297111,158665308,272976447,158665310,146297114,133069589,119239692,119239693,133061448,261188082,90860637,76982554,76982555,90860639,105039248,260844625,260249397,105047205,105047206,119239693,133061447,146289043,158657342 Dl.O(d2) = 46910803,46910802,58275887,70990287,62609560,62609559,75547575,89303585,85857717,84553220,75547548,75547549,75666759,75666760,86219393,72620966,72620965,86219392,85001433,74574918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15666283, s2 = 2326100, dlinesl.size( ) = 2 s1 = 15666283, s2 = 2326100, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15666283, Dl.E( ) = 18, 1.79e-05 seconds used appending s1 = 14145964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145964, s2 = 3709894, int(edited[s2]) = 0 s1 = 14145964, s2 = 3709894, d1 = 103, d2 = 17 Dl.O(d1) = 232000868,265792662,227415810,225452386,223194352,223194351,225452385,265789633,265477276,223194359,223194358,225452394,265789639,230649846,266172053,233217675,232000872,230649837,274437986 Dl.O(d2) = 38856216,48776267,60170745,72907736,86504395,100462583,114487297,128363324,141710688,154359856,166106240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145964, s2 = 3709894, dlinesl.size( ) = 2 s1 = 14145964, s2 = 3709894, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14145964, Dl.E( ) = 104, 3e-05 seconds used appending s1 = 15182518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15221693, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13194587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13695650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13695838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13695838, s2 = 14028498, int(edited[s2]) = 0 s1 = 13695838, s2 = 14028498, d1 = 0, d2 = 2 Dl.O(d1) = 99422723,85481421,71896508,71896507,85481420,99422787,113424630,127283434,120126722,105914750,105914752,112441143,101726582,87754093,74149959,74149958,87754086,101726571,112441345,98452050,84530474,70967261,58250930,58250927,70967266,70749334,58035072,58035074,70749345,84300991,98197208,112159888,98451849,84530315,70967168,70967167,70967193,58250878,58250880,70967203,84530384,98451923,99422757,85481398,85481399,99422760,113424594,120126690,120126689,127283400,126305672,126305671,113424557,113424556,127283355,129668211,115771544,101726595,101726594,115771538,129668207,139678145,133968736,133968737,147191472,147191470,139678237,257637840,98451973,84530417,84530415,98451970,112441243,126305785,139678236,139678157,139678158,152400953,143722235,130396380,130396379,140629092,153308208,152051731,139346495,125995987,112159819,98197149,84300951,84300950,98197147,112159817,116556342,130396373,261822048,133968811,120126792,105914814,105914815,120126796,133968815,139678163,126305681,112441101,112441100,126305676,139678161,139346503,125995993,112159814,112159813,125995992,139346502,260108834,141533360,154196569,165955836,261822044,261822042,261822040,143722231,130396375,130396376,143722233,152401011,139678312,139678311,152401036,260705860,140347289,153045086,152401044,152401045,260108832,126993120,113134950 Dl.O(d2) = 74819668,88453230,102457089,257055350,118454265,104283618,90143801,257453322,51584282,48573714,38657845,30080727,30080728,33088119,33088118,42035616,48739001,38818791,38818792,48739003,48037164,38123887,38123886,48037161,59429343,57820158,46464131,46464132,49299258,49299259,52286971,41946389,41946388,46464127,57820155,255531994,60051406,52253934,52253935,52253930,41946390,33004434,25279599,25279598,33004433,39372630,39372631,49299255,49299264,57978726,49299256,49299257,57703855,49299283,39372659,30772056,30772055,28034046,267902646,28034062,36496793,33975047,26136203,19440324,13910870,9547198,6263969,6263970,9547200,13910873,19440327,20902327,20902328,25280802,20866286,20866287,28034061,20866284,14964191,10296604,10296605,14964192,11592543,11592542,16619346,22841888,30234773,26117371,19424068,13897517,9536776,6256333,6256334,9536778,9536806,8993113,8993112,13192078,18564460,256105557,28465045,21474335,16619353,16619354,255116935,11592548,16619356,22841895,28732071,21475911,15473321,15473319,12053735,8104081,8104082,12053739,17150212,18959279,13523226,13523225,17153749,12057164,12057163,17153743,15840686,10977187,10977186,9254772,6061180,3792304,2271631,1317436,751671,751673,1317446,2271650,3792343,6061239,9254859,9263070,6067043,3796009,2273763,2273765,3796018,6060909,6060907,9254306,10699391,7265667,4581955,2756667,2756666,4581948,6062736,4366396,4366398,6062666,6063987,6948729,10536662,11275352,12389951,10545137,10545136,15279046,15840726,15840725,21249845,20140109,20140110,15473353,10699855,255037897,12061727,12061728,267961996,15243025,10515716,8103149,5191906,5191908,8103153,12052405,267740684,9252004,13520136,15300546,10564913,10564914,10564980,10564981,6968406,6968408,10565047,9256123,6062084,6062083,9256121,13524917,18960826,25570456,33327588,42308052,42292834,33312696,33312695,36983196,36983197,30681397,30681398,256025436,256362728,60605585,60796467,256025438,40079203,31398180,23905327,23905328,31398182,40079205,39291195,30693789,30693788,39291193,49217884,52676690,64576902,77759579,86962302,86962303,257656566,86974916,73363358,73363359,86974918,100959298,91686695,91686697,105893748,105893742,91686688,257656558,87161907,101159883,100959272,257010892,73363322,257591656,115013654,259447382,260663488,142267435,128915823,115013667,100959290,86974909,73363346,60618578,60618579,73363349,64576892,52676685,52676686,64576895,77759571,91686697,105893748,105893742,91686688,257656558,87161907,101159883,100959272,257010892,73363322,257591656,115013654,259447382,260663488,142267435,128915823,115013667,100959290,86974909,73363346,60618581,60618580,73363351,86974912,100959295,115013669,115013672,115013664,100959283,86974901,86974900,100959281,115013660,258823140,109390602,109390601,100959284,86974902,86974903,86974906,73363342,73363324,60618564,49217872,49217873,60618566,73363328,73363340,86974893,86974894,100959280,115013657,109390598,95136045,81077609,81077608,95136044,95136054,95136049,81077616,67609758,55268468,44421128,44421129,55268469,61563256,50083026,40061627,31378879,31378878,40061625,257654537,67609777,55268479,44421140,35046627,35046628,44421142,55268482,67609782,67609763,55268471,55268472,67609764,81077624,70717611,58001593,58001592,70717608,70717614,58001599,58001600,50530486,256853186,255824644,36737973,28242929,255029070,255824646,268381460,36737972,254729194,15115692,10426288,10426289,15115694,21043929,28242935,36737978,46625851,46625845,46625844,268610878,36730012,28235800,21038035,15111067,10422993,6871861,6871862,10422995,15111072,21038041,28235810,36730019,46617938,269307389,39734854,39734853,31056676,23572983,23572982,31056674,28440624,23572976,23572977,23572979,21193772,21193768,15230228,15230227,21193766,28415646,36913317,36913309,28415638,28415637,28440626,28415640,21193761,15241847,10514633,6933837,4356802,2610024,1506596,854201,854200,1506594,2610020,4356795,4361644,6927840,6941289,4362306,4362305,6933850,4356813,2610032,1506604,854205,482427,271479,150501,82777,82776,150498,271472,482416,854185,1506568,2609994,4356761,4354415,2612062,1508115,855175,482980,271767,150657,150658,271769,482986,854193,482421,271475,271476,482423,854198,1506589,254494085,4351757,2612469,1508374,1508375,2612471,4351758,4351759,6927199,10505341,10509199,6929994,4353971,2607892,2607891,4353969,4359734,2612306,2612304,4359730,6937787,4359715,4357238,2610417,2610420,4357247,6934364,6937785,4382626,2624930,1515119,1515117,2624922,4357384,2610515,1631056,927513,927514,1631060,2811561,4666896,7387209,11137203,15256442,18002882,21209007,15242507,15229883,254723035,6927640,4357278,4357279,6934403,10515276,8606437,5592742,3469792,2057625,2057626,3469794,5592745,5378396,5378397,5600640,8615846,5600584,3476504,2062727,1183847,1183844,2062718,3476490,3901145,4355801,4355803,2612690,2612691,4355794,4355795,3476399,3476398,2062668,2062670,2613361,1508989,855716,855718,1508995,2613371,4361270,6939996,10523111,15253254,15239817,11137261,7387232,4666919,2811573,2811574,4666923,7387243,11137277,8606368,8606337,8606338,5592700,34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47429620,51057217,62687438,52245337,51058713,47791748,40196387,40196389,37999404,29436645,29436647,32969231,25246966,25246964,28978405,31510973,25117446,18566628,13193826,8994398,8994396,13193816,18566609,15655230,10836144,10836147,14469812,20168238,27062172,35147945,37300689,40261995,31574932,31574934,31778930,32968815,32968814,32968295,25246196,18675735,18675734,25246193,32968287,41304369,35147863,27062096,20168198,14469795,14469799,20168212,27062136,25246793,18676132,18676128,21152372,28369193,24010512,17663682,17663680,21507482,21507480,28767696,31164864,37521857,28978009,24004626,17659382,17659385,20231432,20231436,27062193,35147972,42126150,39486276,35195967,27106521,20206153,20206154,27106526,268673490,33407249,29297895,29297894,37537170,31618537,24113270,24113271,28425448,21202043,15236651,10510884,10510883,15236645,16138463,255900119,34614040,26624989,26624990,34614042,41963930,33021167,25295070,256630149,257774039,58169535,257774037,52304375,48113025,48113024,54627561,43885235,43885236,54627563,66885059,80314120,86081274,86081275,77234842,64090516,64090515,64090514,64090513,58169533,58169534,70883590,258655074,80314115,66885056,59143059,258100695,85466148,80314118,66885058,66885057,80314117,94370210,270321977,48113030,269339703,270321975,99782104,100043842,114070149,116218374,130129318,140342261,139976735,139976734,133560365,119685221,105446500,91224083,77304261,64155905,64155906,77304270,85828792,85828793,99128726,102156652,99128777,85206046,85206045,74549963,61766041,50286156,47545891,37639618,29089261,29089260,37639614,47545884,58928256,71650283,85216145,74549915,61766006,50286128,40264929,40264930,50286131,61766011,74549923,88165223,88165189,74549897,61765990,61765988,74549889,61766014,50286133,40264932,31577785,24072038,24072037,31577783,40264927,50286124,61766001,74549907,85216153,99138999,113129666,102156678,102156679,116218374,130129318,140342261,139976735,126622648,112767250,112767249,126622646,126988013,116218345,102156649,102156648,114267169,113129587,113129584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13695838, s2 = 14028498, dlinesl.size( ) = 2 s1 = 13695838, s2 = 14028498, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13695838, Dl.E( ) = 6, 9.78e-06 seconds used appending s1 = 14232698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8502521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8502521, s2 = 7068826, int(edited[s2]) = 0 s1 = 8502521, s2 = 7068826, d1 = 0, d2 = 0 Dl.O(d1) = 128454560,272577145,273120612,166188208,263582141,194392550,264530061,216163127,219459090,222243393,224633323,224633321,222243390,219459087,219459088,219459089,219459090,222243393,224633323,222243392,222243393,224633324,224633322,224633319,224633318,226155657,224017310,221550651,218675846,264947508,273972850,209323348,203849194,203849193,263073258,262142766,260489916,259888068,258642292 Dl.O(d2) = 128454560,272577145,273120612,166188208,263582141,194392550,264530061,216163127,219459090,222243393,224633323,224633321,222243390,219459087,219459088,219459089,219459090,222243393,224633323,222243392,222243393,224633324,224633322,224633319,224633318,226155657,224017310,221550651,218675846,264947508,273972850,209323348,203849194,203849193,263073258,262142766,260489916,259888068,258642292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8502521, s2 = 7068826, dlinesl.size( ) = 2 s1 = 8502521, s2 = 7068826, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8502521, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13702514, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16238703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16238703, s2 = 377698, int(edited[s2]) = 0 s1 = 16238703, s2 = 377698, d1 = 39, d2 = 37 Dl.O(d1) = 51380141,41189997,32371655,24753228,24753226,32371654,41189995,257527401,38310108,38310109,48219977,38310113,256947349,59606750,72341233,73271701,60526917,49126046,256468181,256448041,22897773,16667408,11633277,7749988,4908169,2958389,2958388,4908166,7749983,11633269,16667393,22897755,16917929,11840152,7912919,7912916,11840148,11840178,11840179,16917959,23183285,30602024,28906797,255415755,15601473,21632686,27064483,20170313,14471529,14471530,20170315,15477400,11840034,7912846,7912842,11840027,16917726,23182941,19387485,13868762,13868761,19387483,26071429,30601733,28297268,21089634,15148924,15148925,21089638,28297275,21632694,21632695,22055596,16918478,11840535,7913158,7913157,11840533,16918474,23183959,257012825,60527454,73272208,86883716,86883711,73272205,73272206,86883713,100863809,114914254,114914255,114914253,114914252,128811466,127203588,113344831,99341729,257090708,59067822,47667883,47667882,46621533,256036650,70714189,257673770,78607730,65309088,53309659,42847143,33806433,25990463,19319569,13814611,9474053,9474054,6765781,4240162,4240163,6765784,10291799,14958765,20860290,28027576,36490102,257045348,36490101,30676463,23260326,268424893,27224816,35347842,44772990,44405202,35029931,26949255,20064311,14380135,14380134,17855742,24227828,31736530,40430584,39699860,35010229,35010230,256999152,37626509,29075647,21777729,15718579,10881711,10881708,15718575,21777722,17331394,17331396,23648276,17331649,12206596,12206595,17331647,23648514,20058965,17331403,17331401,20065951,256016852,16227256,11280721,11280720,16227254,21788181,21788182,21786691,255861895,15729284,15729285,17331358,12206328,8238183,5310714,3260821,3260820,5310712,8238181,9141200,5981901,3740541,2239352,1298590,741115,421217,421218,741118,1298598,1400961,1400965,2420301,2238654,2238655,3739295,3739301,5979756,9137916,13370075,18774012,18775558,13375853,13375851,13373538,9140435,9140434,9141556,8465478,8465477,12497563,9139496,9139495,9142230,9142232,13375054,13375052,12144327,12144326,17264673,17648668,17648667,16994637,11909084,11909085,13375619,9142008,5982941,3741172,2239694,1298785,1298784,2239692,3741167,5982931,9142505,5982795,5981967,5981966,9141285,13374677,15801912,15801913,12480640,8451550,5459474,3356584,3356586,5429909,5429908,8413935,5599228,3475612,2062232,2062234,3475620,5599242,8613992,5982215,5982214,5451955,5451956,8442837,12473353,17644035,17644034,17651397,12480668,12480667,12474692,12444004,255183299,8441424,5450810,5450808,8441421,8421655,5459443,3356565,1973269,1973271,3356573,5456437,254861267,12477036,12444244,267912261,4718822,4718824,7467077,8418806,5455955,3354192,3354191,5455952,5436740,5436742,5445797,8432003,5443501,5443500,8432001,12438451,12438452,12451216,8419616,8419617,11817957,12439034,12439035,12440068,12454459,8422810,5436495,5436496,8422811,8440718,5450169,3350409,3350410,267912095,8424423,5454968,3353594,1971559,1125674,631288,350491,350490,631285,1125668,1971546,3353701,5455135,8446471,8442823,8418581,8418584,8436512,8436509,12443765,12450792,8443022,5452126,5452123,8428182,8432278,5460384,5460385,8415090,5430697,5430695,5433170,5432846,3339722,3339721,5432845,5434906,5434905,5460342,3357115,1973596,1973598,3357120,254602365,5452309,5452308,8443251,5455101,5455100,8446417,12468982,12468983,255187149,8445582,5454332,3353180,3353181,5454333,5426795,5426796,8409700,254861081,5455193,3353743,3353741,3335896,3335894,5426572,5452138,5441165,3344906,1966845,1966843,3344900,3343517,3335587,1961705,1961708,3335593,5426093,5446977,5437828,5437827,8424583,8424584,8432804,12448882,8417195,5432226,5432225,5459435,8451508,6883516,4321137,2584829,2584826,4321132,6883508,5426448,5426449,8409228,12440893,12460430,12472789,11565946,11565947,8442090,7205496,7205495,10894885,255427243,29086879,35020152,26939233,26939234,26952018,35032319,35023000,26942188,20056657,20056656,26942186,26954920,22851143,22851142,21778627,20053641,14367949,10882345,10882346,9888656,9888655,12235606,16373581,20185630,27083895,256214823,20058731,20058732,21786844,20064137,20064136,255543605,17233726,16290536,11333699,11333702,15729310,16626558,21788147,21788146,21786155,15727618,255426443,10886238,7720018,7720017,11597354,14367744,14367743,20053510,26939448,35020360,29404235,22073814,15968726,11084154,255448087,27040856,22073815,22073816,29404237,37968275,47886719,59283236,72020179,85608813,99559251,113575674,127451854,140811933,153492795,262701469,185460608,193730102,200821663,195049228 Dl.O(d2) = 87768255,87768256,87768251,87768252,260707511,129684336,129684342,129684337,115787047,101741295,87768254,74163485,61382687,257056851,31200832,23713094,17389396,12254103,8275924,8275923,12254101,17389391,17411287,17411286,23713005,17389325,12254058,8275896,5339867,5339866,8275894,12254049,17389315,23712709,23712708,17472125,12318212,8320448,5368988,5368985,8320438,12318197,17471864,17471884,17471886,23719868,17396028,12259232,12259233,17382585,17382584,12485201,12306129,8312034,5363392,5363394,8312044,12306145,12267256,12257499,8278255,5344996,3284912,3284913,5344997,8285137,12268964,15307947,15307946,21250468,15284944,10550444,268068957,6971323,4379519,4379518,6971322,10569341,15305425,254404288,15474243,10700631,7069538,7069537,10700626,15474224,15474222,18933554,13498087,13498088,18933562,14448310,9939909,9939911,14448317,17150393,15284729,10550236,6966478,4376676,4376674,6966465,10562215,6974386,4381351,2623888,2623890,4381339,3789894,3789895,6056837,254926859,12395494,9264579,6068217,3796729,3796727,3796750,3796751,6068244,9264602,9264598,13534747,13005840,13005841,18322348,24811569,32446720,41286425,51501169,63211508,258978355,89578204,75796081,62832043,51181937,41025392,32233007,32198199,24609747,18161024,12878997,12878996,18161021,24609741,32198191,31510287,31510286,31510328,24010405,24010406,31510329,40196227,50218591,61700669,74483799,88096080,102083049,116140849,130050157,143381613,272904649,187251687,195301808,202185262,207972625,212744364,210401559,205182164,198877938,261887548,260778554,149432584,136181303,122216589,107810153,93387435,79260702,65898615,53831563,53831564,63966903,65231091,57768826,57768825,65871232,53803426,43278589,34182105,26310581,19585656,19585651,26310577,257263191,65871223,79235181,93362464,107783764,106594064,92295866,78268654,78268655,92295868,78268659,64995098,53019842,42579666,42579665,53019840,64995095,78268656,92295870,81257303,259170151,259710423,95317758,81257295,259170149,81257304,78643294,65341283,53340128,42876686,33834071,26015200,19340338,19340340,26015205,27121267,255895082,16123471,11200147,11200146,9486736,6221182,6221181,6221175,3894212,2331729,254307083,6221178,6221173,6221174,9486729,13831335,13831337,13831338,19340321,26015174,255699089,13831349,9486737,6221183,254307085,2331731,3894215,6221185,9486741,13831353,19340350,26015214,26015215,257242515,58716840,71447710,85020216,85020214,85020215,86737716,258346836,92704964,107044443,260216282,258346838,73131158,257146886,48992090,39067983,30475698,255625228,48992091,60390253,257733493,51397270,51397271,63089415,73131157,86737721,100713001,89891682,76090288,63089416,51397273,257733491,270469995,104017337,118173518,131990759,131990757,126203377,112342993,112342992,126203374,112342995,98360541,84450864,70893993,70893994,84450866,98360533,84450849,258908548,46812753,46812752,58179936,58179930,46812749,36934445,36934446,46812750,58179932,70893988,84450862,84450863,84450860,258894197,61673062,50189047,40164755,40164754,50189045,61673058,74456347,88068631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16238703, s2 = 377698, dlinesl.size( ) = 24 s1 = 1720792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11749177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11749177, s2 = 7911329, int(edited[s2]) = 0 s1 = 11749177, s2 = 7911329, d1 = 21, d2 = 17 Dl.O(d1) = 157048832,272770942,141400107,261195599,128031780,114142856,270850769,72544769,72544768,259399949,100109196,100109195,114142858,272220751 Dl.O(d2) = 7591703,4802131,2894410,1679734,1679733,2894407,4802126,7591697,11421673,16402888,13306784,9088243,5945252,5945251,9088240,13306779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11749177, s2 = 7911329, dlinesl.size( ) = 2 s1 = 11749177, s2 = 7911329, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11749177, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 13711820, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13712380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13712380, s2 = 280369, int(edited[s2]) = 0 s1 = 13712380, s2 = 280369, d1 = 11, d2 = 26 Dl.O(d1) = 6483853,6483854,9870200,14363593,20049427,26935636,35016994,44393231,54606679,43863710,34593131,26606095,26606094,34593127 Dl.O(d2) = 147963177,141607170,128256478,114379742,114379741,128256476,141607167,154263148,160214567,160214568,166528861,166528862,166016010,166016011,160214575,147963162,261393278,106787049,106787050,121042463,134842000,147963171,160214583,147963168,147963170,160214572,147963159,134841990,121042454,106787046,92479720,92479721,106787048,121042457,134841994,147323732,134111636,128256466,114379736,100355849,86399075,72803477,60065610,60065611,72803479,74737528,61943024,50451540,40416997,31725089,24218244,17847856,17847855,17847854,12639124,12639123,267935926,31725088,39471437,30868003,23439660,23439662,30868012,31666413,31666414,28411604,21190036,21190037,24157042,17789948,17789949,24157047,31666396,26345462,26345464,34219202,38052067,29488417,29488418,24157125,24157124,31666493,38764158,30200434,30200435,38784737,42725275,38487502,29926731,22566578,16386131,11404503,11404504,16386133,22566581,22566571,20934040,20934041,28110719,28712413,21457080,15457746,15457747,21457084,28712418,37243344,28712399,21457072,21457073,21457062,21457057,28023497,36485569,46342338,42326891,33345650,28569928,28569927,37072764,40316901,50342126,59139891,53671642,43160783,37093877,28587670,21356816,15379546,10627897,10627896,10618061,7007179,7007178,10618059,10618073,15367515,10618064,7007180,4404750,4404751,7007182,10618068,15367519,21342144,21342137,15367517,15367518,21342143,21342127,21342128,256317633,46952721,58319702,46952736,37072775,28569937,28569938,37072777,46952738,58319716,255712896,53704345,43192757,34107106,34107107,43192759,53704349,58816235,47429368,47429366,58816234,47429389,37521644,37521643,43192762,36438778,36438779,46291867,46291827,36438737,27979666,20815761,20815760,27979664,36438733,27979675,27979671,21697020,21697021,21697035,28979482,28979086,23543423,23543422,28027850,21026462,21026461,255700858,15675668,10852130,10852131,15675672,21719740,21731631,29020542,23630412,21951074,21951075,21672614,15635273,10819792,10819791,15635266,21672604,17147432,17147430,23424842,30855804,29003425,29003427,29003463,25451616,18853301,13432605,13432607,18853308,13432654,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13712380, s2 = 280369, dlinesl.size( ) = 12 s1 = 13808156, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14271292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11752269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15947080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14233326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14233386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14233454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9058368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9058368, s2 = 5624343, int(edited[s2]) = 0 s1 = 9058368, s2 = 5624343, d1 = 26, d2 = 7 Dl.O(d1) = 269790552,270819132,260548818,272841353,185051993 Dl.O(d2) = 230013960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9058368, s2 = 5624343, dlinesl.size( ) = 12 s1 = 11434991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434991, s2 = 11060146, int(edited[s2]) = 0 s1 = 11434991, s2 = 11060146, d1 = 23, d2 = 12 Dl.O(d1) = 152783586,152783587,263109271,193268636,262729706,164618625,152783589,152783588,164618623,262252702,193268637,263558038 Dl.O(d2) = 153981273,141310463,127950611,127950610,140093155,126745503,112893670,98906121,258146806,71406797,58672627,47281418,37372111,28832469,21561813,15540619,10747879,7100907,7100906,254536672,21561810,17534124,12366983,12366982,17534120,23879586,22795886,16579172,11559713,7692917,4868344,4868345,3316738,3316737,5393816,7692919,7692918,11559714,16579174,255431470,16422201,22605205,29970182,38536157,36915203,36915204,46792905,46792903,37904565,29335753,22004546,15903843,15903844,22004548,29335756,37904567,40058154,42441904,33448773,25677733,25677732,22004520,21195234,15231515,10507115,10507114,15231513,21195231,15231547,15231546,15909789,15909792,22011290,29343287,36732085,36732084,255855246,29343732,22011775,255442914,11031123,11031124,15909648,15910357,15910356,255442947,11031772,11031773,15910446,15909811,11031237,11031236,7306198,4610538,2775981,1610355,1610353,2775978,4610530,2776014,2776013,1610418,1610417,2776088,2776218,1610495,916296,517014,267739765,88340,48599,48598,88337,160557,290087,516994,916259,1610411,2776078,4610607,267971439,15910200,15910806,22012357,29343415,22011428,15909934,255068507,11032037,15909966,15909967,22011479,22012100,15910582,15910581,22012099,22011524,22011525,29343491,256426802,17024043,11938983,255141735,22012263,15910712,15910713,22011852,29343807,37912886,43863935,255316942,28340271,21128174,21128175,28340268,28340267,29748751,38317736,47834817,47834763,37913198,37913199,30698944,30698945,255928474,30042904,30042905,38616743,46719850,49098864,47834536,47834535,37913206,29344151,29344153,255106690,42135717,46719847,46719846,38409547,29837135,22469845,22008244,15907097,15907098,22008249,29339763,35181561,35181560,38616650,38616272,30042346,30042347,38616273,40392184 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13743054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14981956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14981956, s2 = 12998981, int(edited[s2]) = 0 s1 = 14981956, s2 = 12998981, d1 = 31, d2 = 33 Dl.O(d1) = 264853579,220307799,222692025,219973337,219973336,222692022,222692028,265054524,216751725,265258099,216751722,212864477,212864476 Dl.O(d2) = 141554891,154216172,165973185,262371366,263265768,201279414,194246160,194246159,201279417,195344711,195344710,202219645,273749132,207199228,207199227,212081771,208000249,202219738,195344801,187304625,187304624,262828442,195344803,195344802,195344805,195344811,261309202,167603160,167603159,178067054,187304631,195344807,202219743,202219745,262828448,273582402,264294638,222625362,222625363,224967467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14981956, s2 = 12998981, dlinesl.size( ) = 2 s1 = 14981956, s2 = 12998981, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14981956, Dl.E( ) = 34, 1.69e-05 seconds used appending s1 = 4333788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4333788, s2 = 6433098, int(edited[s2]) = 0 s1 = 4333788, s2 = 6433098, d1 = 75, d2 = 92 Dl.O(d1) = 167057839 Dl.O(d2) = 254323004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4333788, s2 = 6433098, dlinesl.size( ) = 36 s1 = 6901199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6901199, s2 = 8712335, int(edited[s2]) = 0 s1 = 6901199, s2 = 8712335, d1 = 48, d2 = 68 Dl.O(d1) = 259901911,126173776,261634779 Dl.O(d2) = 186880319,263963229,265459963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6901199, s2 = 8712335, dlinesl.size( ) = 24 s1 = 3866050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3866050, s2 = 11299762, int(edited[s2]) = 0 s1 = 3866050, s2 = 11299762, d1 = 0, d2 = 8 Dl.O(d1) = 139497445,152228105,164114908 Dl.O(d2) = 152266566,139535096,126159743,112299464,258011864,70849055,58134686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3866050, s2 = 11299762, dlinesl.size( ) = 12 s1 = 13749080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13750272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15984121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11756315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12190696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13758946, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13761400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13764882, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15496860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15943814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13773250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13777274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13778322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13778322, s2 = 10336119, int(edited[s2]) = 0 s1 = 13778322, s2 = 10336119, d1 = 17, d2 = 19 Dl.O(d1) = 194585779,201568855,207446123,212292295,207446118,263942609,186432418,177077600,262296199,142155983,128801225,128801227,142155982,128801209,114903898,260663831,142155976,154790075,166496448,166496466,177077610,263942613,186432447,177077635,166496492,154790122,261238793,128801227,142156009,154790120,166496488 Dl.O(d2) = 262770615,177077611,177077634,166496486,262770613,273370661,264256093,263942617,186432445,263591919,194585768,186432449,186432448,263942619,194585765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15185273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15185273, s2 = 11466086, int(edited[s2]) = 0 s1 = 15185273, s2 = 11466086, d1 = 4, d2 = 39 Dl.O(d1) = 212370896,212370894 Dl.O(d2) = 229680334,228050272,226192900,224059652,221599997,264967402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15185273, s2 = 11466086, dlinesl.size( ) = 22 s1 = 15159894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14234150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16273947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13788259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14234266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14134478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13827389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13792044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13792046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13792046, s2 = 6814349, int(edited[s2]) = 0 s1 = 13792046, s2 = 6814349, d1 = 1, d2 = 19 Dl.O(d1) = 201683909 Dl.O(d2) = 212099127,216085652,264768674,264522179,207219381,274102736,201302334,194271608,263559910,60050084,257541368,256978235,38510860,255492950,16401644,16401643,22366898,29457641,38019630,47017541,47017540,48653667,258791525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13792046, s2 = 6814349, dlinesl.size( ) = 2 s1 = 13792046, s2 = 6814349, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13792046, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 16324034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16324034, s2 = 5450135, int(edited[s2]) = 0 s1 = 16324034, s2 = 5450135, d1 = 1, d2 = 1 Dl.O(d1) = 3791922,6060382,9253461,255268243,25568224,33328559,42309003,52695950,64596585,77779376,77779373,77779374,91706950,105914159,120126224,133968281,147191040,159550225,170878082,180997396,189875246,197530918,204049768,209488461,213950100,217611958,220667540,223266794,225514900,227471179,229182318,230694135,230746989,229242357,229242358,229242362,229242359,227540156,225593924,225593925,227540158,227540159,265486473,220768515,217729028,214086993,209651294,204244918,197764134,190157876,181347863,171318205,160090640,147835579,134709017,120910452,106657628,92353157,78319744,65039921,53057195,256669723,19145187,13670281,9361281,6131747,6131746,8387752,8387753,12410140,8387575,5412511,3327122,3327124,5412560,8387723,12410116,13507731,11393388,10017389,10017387,12434894,17568298,12396694,8377774,5406686,5406685,8377761,12396674,12256172,8277297,5411898,3326760,1956444,1956442,1960594,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407226,12384321,12384320,11968413,11968410,17060328,17060382,17060386,12254324,12254326,17389720,23326432,23715534,17391684,14449309,9940672,6533555,4093773,2449216,1416093,1416094,2449222,4093791,6533583,9940726,14449396,20143730,255747402,20287543,20287542,23967145,17616981,12434995,8404161,5423052,5423053,8404163,9248981,9248978,255178753,8372130,5403246,5403247,8372131,5403256,5403254,6969934,6969935,9263436,7246453,4568981,4568987,2748107,2748103,4569004,5412298,3327002,1956567,1956564,3326986,5405447,5405450,8375641,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758189,4584425,6929206,6929204,10508151,8271227,5337282,5337284,5344014,8283466,12266205,17405441,23729314,23700923,22776787,16561654,16561653,22776784,29151609,28462400,28462399,31203452,23715744,23715745,31203453,39883324,49904310,61384840,74165418,87770008,101742918,115788559,129685874,270880624,143014180,143014179,155562236,167192398,177688440,186966948,195050458,201967027,207785097,212581551,216502040,219753981,222499434,224856800,226902851,228685660,230254846,229596593,229596592,227957490,226091525,226091524,223948874,264920172,210988302,205890047,199725593,192437009,183971066,174308658,163460698,260985102,125542279,259152766,70429074,57734925,46385142,268335986,20889518,17764836 Dl.O(d2) = 3791922,6060382,9253461,255268243,25568224,33328559,42309003,52695950,64596585,77779376,77779373,77779374,91706950,105914159,120126224,133968281,147191040,159550225,170878082,180997396,189875246,197530918,204049768,209488461,213950100,217611958,220667540,223266794,225514900,227471179,229182318,230694135,230746989,229242357,229242358,229242362,229242359,227540156,225593924,225593925,227540158,227540159,265486473,220768515,217729028,214086993,209651294,204244918,197764134,190157876,181347863,171318205,160090640,147835579,134709017,120910452,106657628,92353157,78319744,65039921,53057195,256669723,19145187,13670281,9361281,6131747,6131746,8387752,8387753,12410140,8387575,5412511,3327122,3327124,5412560,8387723,12410116,13507731,11393388,10017389,10017387,12434894,17568298,12396694,8377774,5406686,5406685,8377761,12396674,12256172,8277297,5411898,3326760,1956444,1956442,1960594,1119992,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407226,12384321,12384320,11968413,11968410,17060328,17060382,17060386,12254324,12254326,17389720,23326432,23715534,17391684,14449309,9940672,6533555,4093773,2449216,1416093,1416094,2449222,4093791,6533583,9940726,14449396,20143730,255747402,20287543,20287542,23967145,17616981,12434995,8404161,5423052,5423053,8404163,9248981,9248978,255178753,8372130,5403246,5403247,8372131,5403256,5403254,6969934,6969935,9263436,7246453,4568981,4568987,2748107,2748103,4569004,5412298,3327002,1956567,1956564,3326986,5405447,5405450,8375641,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758189,4584425,6929206,6929204,10508151,8271227,5337282,5337284,5344014,8283466,12266205,17405441,23729314,23700923,22776787,16561654,16561653,22776784,29151609,28462400,28462399,31203452,23715744,23715745,31203453,39883324,49904310,61384840,74165418,87770008,101742918,115788559,129685874,270880624,143014180,143014179,155562236,167192398,177688440,186966948,195050458,201967027,207785097,212581551,216502040,219753981,222499434,224856800,226902851,228685660,230254846,229596593,229596592,227957490,226091525,226091524,223948874,264920172,210988302,205890047,199725593,192437009,183971066,174308658,163460698,260985102,125542279,259152766,70429074,57734925,46385142,268335986,20889518,17764836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16324034, s2 = 5450135, dlinesl.size( ) = 2 s1 = 16324034, s2 = 5450135, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16324034, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14247941, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13794926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12199320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14262033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13803326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7201126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7201126, s2 = 10269840, int(edited[s2]) = 0 s1 = 7201126, s2 = 10269840, d1 = 17, d2 = 22 Dl.O(d1) = 263927965 Dl.O(d2) = 201345247,264525383,216119779,265008596,265216321,219420342,222208337,274517925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7201126, s2 = 10269840, dlinesl.size( ) = 2 s1 = 7201126, s2 = 10269840, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 7201126, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 13816050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6969152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6969152, s2 = 12643618, int(edited[s2]) = 0 s1 = 6969152, s2 = 12643618, d1 = 49, d2 = 70 Dl.O(d1) = 260734901,143408294,261839292,178025904 Dl.O(d2) = 254856632,10279556,14945389,20845848,28011549,254405364,254272436,268972857,58003541,49266515,49266516,41711059,41711060,52021874,48666283,38744541,32794671,32794672,41711070,40153382,40153381,38744481,30161397,22772721,16558148,16558147,22772717,30161391,38744469,40153283,31469337,31469336,40153281,50178434,49371109,39442829,30838786,23409476,23409475,30838784,39442826,38804873,30221367,30221365,38435770,33378764,33378765,42367657,49369943,49266697,48666588,38744932,37304413,37304284,37304285,32960869,25239492,21303498,21303499,21303484,21303482,28525144,28525147,37022956,39441642,39441640,46702846,36820346,28325174,28325173,36820345,39441650,39339278,38174513,38174514,39385410,39385411,46629468,46677100,46677088,36791126,28294431,21087340,21087339,21292872,21292869,23274647,23274644,30689919,39287083,30740441,23320274,23320275,30740444,23981649,17634903,17634902,23981646,31478447,40150011,49206129,42723873,33693588,33693587,38065608,29502384,22163050,22163049,23985181,23985182,31481930,40166736,38438360,29879771,29879770,38438358,48341930,42308032,42308031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6969152, s2 = 12643618, dlinesl.size( ) = 56 s1 = 14234712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13820038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13820038, s2 = 8737732, int(edited[s2]) = 0 s1 = 13820038, s2 = 8737732, d1 = 227, d2 = 123 Dl.O(d1) = 212860116,208105481,208105480,202338694,195479066,187458365,187458364,195479064,202338690,208105491,212860131,216748153,219970216,216748161,216748162,265257741,225024071,225024063,225024064,225024092,222689381,219970242,216748177,212860140,208105497,208105498,212860141,208105508,208105510,212860164,274215687,216748203,216748204,219970272,219970225,216748160,265054139,219970220,222689359,225024081,222689402,222689400,225024109,265764447,227051768,225024100,222689391,219970258,219970257,216748201,212860161,212860159,216748192,219970264,219970183,219970182,222689338,265611019,265764445 Dl.O(d2) = 265081376,218598102,221484618,223957954,265081376,215168452,211003705,205907640,199745870,192459642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13820038, s2 = 8737732, dlinesl.size( ) = 40 s1 = 13824142, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13824142, s2 = 11637294, int(edited[s2]) = 0 s1 = 13824142, s2 = 11637294, d1 = 95, d2 = 66 Dl.O(d1) = 262087495,173586223,183380789,191942992,199308524,205540268,210694788,210694794,205540273,205540274,210694796,214905384,218370059,274254697,214905380,210694790,205540270,263802539 Dl.O(d2) = 246827552,246765197,246699517,246629976,246555936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13824142, s2 = 11637294, dlinesl.size( ) = 30 s1 = 7289319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15000636, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15774166, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15774166, s2 = 13165257, int(edited[s2]) = 0 s1 = 15774166, s2 = 13165257, d1 = 3, d2 = 0 Dl.O(d1) = 264262103,207542410,212372702,216320793,216320791,212372700,212372698,212372699,216320789,264601850,210476070,205281199,199004728,191582744,182948285,173062509,161908848,149609561,136341937,260808650,107930192,93492403,79355893,65988939,53920244,43395126,34295207,26418920,19682456 Dl.O(d2) = 6178116,9428463,13758845,19254747,25916724,33723368,38848750,30264910,255945019,16640635,16640634,22868445,30264909,25642231,19025255,13579792,9298264,6091088,254302469,2282912,3811093,6091093,9298271,13579801,18016467,12768995,254197734,13054581,8894754,5803084,3619170,2161085,2161081,2160361,2160360,1282843,1282838,768188,768183,1282177,1282176,2208147,3688489,5903711,9036159,12909022,8781436,8781435,254425310,24658892,32259270,41053533,51210587,62860482,75824327,89606545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15774166, s2 = 13165257, dlinesl.size( ) = 2 s1 = 15774166, s2 = 13165257, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15774166, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 13838422, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13838422, s2 = 11413644, int(edited[s2]) = 0 s1 = 13838422, s2 = 11413644, d1 = 18, d2 = 14 Dl.O(d1) = 274195639,224492191,226584659,228407788,266000202 Dl.O(d2) = 264226649,274254738,185809625,273128731,261735669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13838422, s2 = 11413644, dlinesl.size( ) = 2 s1 = 13838422, s2 = 11413644, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13838422, Dl.E( ) = 20, 1.31e-05 seconds used appending s1 = 8762057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8762057, s2 = 11011470, int(edited[s2]) = 0 s1 = 8762057, s2 = 11011470, d1 = 105, d2 = 69 Dl.O(d1) = 209653674,214089024,217730759 Dl.O(d2) = 254623671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8762057, s2 = 11011470, dlinesl.size( ) = 76 s1 = 8818670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13845782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13845782, s2 = 13830723, int(edited[s2]) = 0 s1 = 13845782, s2 = 13830723, d1 = 22, d2 = 35 Dl.O(d1) = 261857159,167678707,178136547,187368000,273750595,212811096,216704572,274425025,221620467 Dl.O(d2) = 195402951,273893923,274122421,264573592,212811092,215366765,263255524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13845782, s2 = 13830723, dlinesl.size( ) = 32 s1 = 11522144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13869856, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7322199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7322199, s2 = 4958869, int(edited[s2]) = 0 s1 = 7322199, s2 = 4958869, d1 = 20, d2 = 3 Dl.O(d1) = 265401386,225937121,227823487,229480048 Dl.O(d2) = 205535312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7322199, s2 = 4958869, dlinesl.size( ) = 32 s1 = 15667042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13856528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12210558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13858540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12210930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13850332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14732234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15188241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5810518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5810518, s2 = 3175637, int(edited[s2]) = 0 s1 = 5810518, s2 = 3175637, d1 = 32, d2 = 55 Dl.O(d1) = 234892796,265920478 Dl.O(d2) = 141226577,127867515,113989276,99965844,257168270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5810518, s2 = 3175637, dlinesl.size( ) = 32 s1 = 14235634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11775007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12215214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12371882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5812460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13983414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10276314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15762137, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8883624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8883624, s2 = 5809846, int(edited[s2]) = 0 s1 = 8883624, s2 = 5809846, d1 = 21, d2 = 19 Dl.O(d1) = 265158475,223986084,265687553,229622710,231076626 Dl.O(d2) = 229622711,231076628,232381108,231076627,231076628,232381109,233560647,234633150,234877547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8883624, s2 = 5809846, dlinesl.size( ) = 18 s1 = 13889264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13890298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13890298, s2 = 11290210, int(edited[s2]) = 0 s1 = 13890298, s2 = 11290210, d1 = 41, d2 = 42 Dl.O(d1) = 274648175 Dl.O(d2) = 263701158,260842274 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13891226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11777473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13894226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7491915, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13881382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13881382, s2 = 14152754, int(edited[s2]) = 0 s1 = 13881382, s2 = 14152754, d1 = 47, d2 = 52 Dl.O(d1) = 226135193,223995941,274398749,265968273,274625635,231085375,231085370,231085371,229632811,227997448,226135204,223995947,265528703,265834511,227997433,227997434,229632798,231085345,231085346,266205313,231085359,231085358,232388187,231085374,265968277,227997435,227997436,227997425,226135189,226135190,227997427,229632789,229632781,227997421,226135186,223995936,223995935,221526849,265352641,265688037,227997444,226135202,265352643,218646482,215224785,211071085,205989043,205989042,264710485,218646473,221526843,223995934,223995939,226135190,227997427,229632789,231085342,229632813,227997449,227997450,227997456,226135209,226135210,227997458,229632821,266091609,274625637,231085377,229632817,229632818,231085378 Dl.O(d2) = 199841902,273842415,211071089,215224789,218646486,221526860,223995949,226135210,227997457,229632806,231085365,231085366,231085363,231085362,231085348,229632786,274549167,274744587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13881382, s2 = 14152754, dlinesl.size( ) = 2 s1 = 13881382, s2 = 14152754, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13881382, Dl.E( ) = 56, 1.69e-05 seconds used appending s1 = 13894508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13904576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14236096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13906236, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13907360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13907360, s2 = 7077777, int(edited[s2]) = 0 s1 = 13907360, s2 = 7077777, d1 = 98, d2 = 121 Dl.O(d1) = 231994404,274489194,235317087,266278554 Dl.O(d2) = 258384915,91178105,105400013,117667221,119635995,133507668,262250214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13907360, s2 = 7077777, dlinesl.size( ) = 54 s1 = 14236180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13913220, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14236248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14236248, s2 = 14115149, int(edited[s2]) = 0 s1 = 14236248, s2 = 14115149, d1 = 15, d2 = 80 Dl.O(d1) = 217601936 Dl.O(d2) = 112809778,112809777,126666764,140019953,140019946,140019945,152714709,164552581,152714728,152714727,262663791,175316764,184869494,273333124,164552583,261662982,126666774,112809789,98818592,98818591,260535097,112809779,98818585,98818586,98818590,112809786,126666771,140019964,152714725,152714719,140019956,140019958,152714717,261112398,112809781,126666757,126666773,126666772,140019961,140019962,152714724,262663252,152714712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14236248, s2 = 14115149, dlinesl.size( ) = 54 s1 = 12372742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14810059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14810059, s2 = 9313109, int(edited[s2]) = 0 s1 = 14810059, s2 = 9313109, d1 = 43, d2 = 41 Dl.O(d1) = 265510583,265819323,274568141,234108059,266452393 Dl.O(d2) = 267267563,267267564,243011578,242690581,274873318,240675790,274826368,237692762,266813513,266942104,239284851,239284853,239857655,239284858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14810059, s2 = 9313109, dlinesl.size( ) = 32 s1 = 16357063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13918144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13922342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13922342, s2 = 8926395, int(edited[s2]) = 0 s1 = 13922342, s2 = 8926395, d1 = 25, d2 = 0 Dl.O(d1) = 266980315,240275662,240275661,240775263,241237956,241237958,240775264,240275663,266825349,238521425,237829904 Dl.O(d2) = 235323343,234320859,266172337,230652594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13922342, s2 = 8926395, dlinesl.size( ) = 22 s1 = 14236394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13923312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13923312, s2 = 8945561, int(edited[s2]) = 0 s1 = 13923312, s2 = 8945561, d1 = 4, d2 = 1 Dl.O(d1) = 240966263 Dl.O(d2) = 240481927,239960062,239397203,239397201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13923312, s2 = 8945561, dlinesl.size( ) = 8 s1 = 8945560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8945560, s2 = 13923311, int(edited[s2]) = 0 s1 = 8945560, s2 = 13923311, d1 = 8, d2 = 7 Dl.O(d1) = 240054903,240054905,240568000 Dl.O(d2) = 241486486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8945560, s2 = 13923311, dlinesl.size( ) = 2 s1 = 8945560, s2 = 13923311, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 8945560, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13927918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14236476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14236476, s2 = 10289630, int(edited[s2]) = 0 s1 = 14236476, s2 = 10289630, d1 = 17, d2 = 33 Dl.O(d1) = 246648490 Dl.O(d2) = 267107221,241685769,241259320,240798415,240798416,241259322,267068463,242442795,242442787,242079693,241685748,241685749,242079694,242079714,242079724,242442799,242079715,242079716,242442800,267175907,242442789,242079695,267027120,240798401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14236476, s2 = 10289630, dlinesl.size( ) = 12 s1 = 14236504, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13932570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13933190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12226996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12227072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7509944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7509944, s2 = 15044689, int(edited[s2]) = 0 s1 = 7509944, s2 = 15044689, d1 = 30, d2 = 22 Dl.O(d1) = 267349316 Dl.O(d2) = 267094484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7509944, s2 = 15044689, dlinesl.size( ) = 12 s1 = 15305179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13950502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13956668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13956858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13956990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13956990, s2 = 9008543, int(edited[s2]) = 0 s1 = 13956990, s2 = 9008543, d1 = 28, d2 = 17 Dl.O(d1) = 247435669,247411523,247411524,247435671,247458839,247480916 Dl.O(d2) = 246617885,246543021,246543020,246543021,246464136,246381154,246293159,246199404,246100659,245996730,245885899,245768304,245642928,245507813,245364164 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13960574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14236938, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15052315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15052315, s2 = 8698549, int(edited[s2]) = 0 s1 = 15052315, s2 = 8698549, d1 = 53, d2 = 37 Dl.O(d1) = 200691469,262204908,260561467,260341664,10939885,15790388,13619261,9325716,9298426,9298427,255273111,7713836,7713837,11588536,254934617,9333626,13630836,13674655,9364537,6134072,3837708,3837709,6134074,9364539,13674659,13648992,9346353,9346347,6121800,6121799,9346343,13611275,13611274,19065905,19092533,13631017,13631018,19078816,19078817,19035299,17808727,12607428,12607427,17808724,24176903,24192033,17822852,13646985,13646984,13677477,12618613,8565556,8565555,10833912,7161584,4510556,2710415,2710416,4510559,7161597,10833936,15652476,19097506,13634824,9336553,9336554,11814504,11814505,9323735,9323736,13602825,9314462,9314463,13602829,18581536,18581537,13590030,11474537,7632123,4828567,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,10485372,6913195,4341938,4341936,6913186,10485346,15201915,21157620,19114614,19114613,20063662,14379394,14379393,19125245,13655343,9350809,9350812,13655352,19125260,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,19154502,17644295,17644294,19154515,25708354,25708353,268751899,25620980,19006706,19006707,19072707,25698436,33471572,42172792,40457860,33390452,25756072,25756073,31763048,31763047,40457488,40449037,40449036,40452985,31758209,24246340,17869711,12654468,12654470,17869716,16265432,11308775,7508103,4745945,3807629,3807630,6085250,3807599,3807598,6085246,5449224,3349889,3349886,5449192,5449193,7375329,7375330,11119387,16014837,22129608,29464401,38026547,33466771,25694179,25694178,255080720,30465254,30465255,269309731,84543977 Dl.O(d2) = 274087167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15052315, s2 = 8698549, dlinesl.size( ) = 48 s1 = 14069672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14043493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043493, s2 = 14069671, int(edited[s2]) = 0 s1 = 14043493, s2 = 14069671, d1 = 11, d2 = 10 Dl.O(d1) = 256097572,13892078,9532750,6253574,3914805,3914802,6253563 Dl.O(d2) = 52796595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043493, s2 = 14069671, dlinesl.size( ) = 16 s1 = 12234650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13988859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15303274, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15303274, s2 = 14048938, int(edited[s2]) = 0 s1 = 15303274, s2 = 14048938, d1 = 10, d2 = 14 Dl.O(d1) = 80389352,258023244,258023242,43955531 Dl.O(d2) = 43955529,256834044,26686313,19867437,14234240,9785164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15303274, s2 = 14048938, dlinesl.size( ) = 10 s1 = 12234756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14237265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13989698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12234838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16399623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16399623, s2 = 11197910, int(edited[s2]) = 0 s1 = 16399623, s2 = 11197910, d1 = 0, d2 = 37 Dl.O(d1) = 59233404,71970919,85558115 Dl.O(d2) = 99504618,113515792,260286630,259043862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16399623, s2 = 11197910, dlinesl.size( ) = 24 s1 = 13990304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14253861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11574629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12235080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14157490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11790551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11571221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571221, s2 = 14153996, int(edited[s2]) = 0 s1 = 11571221, s2 = 14153996, d1 = 13, d2 = 11 Dl.O(d1) = 266426901,274750101,274813917,240021747,266666808,238861259,274831635 Dl.O(d2) = 242934757,267159434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571221, s2 = 14153996, dlinesl.size( ) = 20 s1 = 14154931, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11421185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421185, s2 = 11456210, int(edited[s2]) = 0 s1 = 11421185, s2 = 11456210, d1 = 17, d2 = 12 Dl.O(d1) = 263576637 Dl.O(d2) = 238992858,238349357,237643006,266531732,235068485,234034106,266141804,274421054,274010462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421185, s2 = 11456210, dlinesl.size( ) = 32 s1 = 14018281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14018281, s2 = 14071610, int(edited[s2]) = 0 s1 = 14018281, s2 = 14071610, d1 = 20, d2 = 19 Dl.O(d1) = 431108,243367,134500,73103,73109,73400,39724 Dl.O(d2) = 755310,1323692,2282264,3810191,6089785,3813327,2284258,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25242674,25242673,23803256,17470153,17470152,23803253,22431747,22431746,29798276,25626205,256141899,255441580,9319517,6104974,6104975,9319696,13610465,255685221,13655681,9351038,6124974,6124973,7507879,6124565,3831979,2295863,2295868,3832003,6124603,9350506,12373066,17542059,23888731,29689741,22337028,22337027,21641108,15609330,15609329,12372794,12372792,17541718,256200885,24243203,24243202,255592144,13568247,19010904,17872394,13626247,13626244,17873441,19010918,13568333,268148057,25625736,21482491,17874122,15671840,10849384,10849383,10704044,10704045,11190125,11190123,258749025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14018281, s2 = 14071610, dlinesl.size( ) = 22 s1 = 11623417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10431180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10431180, s2 = 14154392, int(edited[s2]) = 0 s1 = 10431180, s2 = 14154392, d1 = 23, d2 = 12 Dl.O(d1) = 267294189,244426375 Dl.O(d2) = 244992407,244983715,244983714,244983723,267294892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10431180, s2 = 14154392, dlinesl.size( ) = 2 s1 = 10431180, s2 = 14154392, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10431180, Dl.E( ) = 40, 1.88e-05 seconds used appending s1 = 11790671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11790671, s2 = 11373278, int(edited[s2]) = 0 s1 = 11790671, s2 = 11373278, d1 = 7, d2 = 2 Dl.O(d1) = 260462532 Dl.O(d2) = 164720748,175474960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11790671, s2 = 11373278, dlinesl.size( ) = 6 s1 = 12235218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11376853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643441, s2 = 11645110, int(edited[s2]) = 0 s1 = 11643441, s2 = 11645110, d1 = 49, d2 = 21 Dl.O(d1) = 267671223,247533658,267666374,275077726,247427295,267661221,247472915,267668909,247533657,247552717,247571648,247591332,267682185 Dl.O(d2) = 247831222,247831223,267699362,267700069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643441, s2 = 11645110, dlinesl.size( ) = 34 s1 = 11592675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592675, s2 = 11529184, int(edited[s2]) = 0 s1 = 11592675, s2 = 11529184, d1 = 15, d2 = 1 Dl.O(d1) = 266566246,234939777 Dl.O(d2) = 226668173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592675, s2 = 11529184, dlinesl.size( ) = 24 s1 = 14115229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115229, s2 = 11466268, int(edited[s2]) = 0 s1 = 14115229, s2 = 11466268, d1 = 0, d2 = 14 Dl.O(d1) = 164676192 Dl.O(d2) = 200466563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115229, s2 = 11466268, dlinesl.size( ) = 20 s1 = 12235328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12374324, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14106635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13992857, s2 = 10462361, int(edited[s2]) = 0 s1 = 13992857, s2 = 10462361, d1 = 1, d2 = 16 Dl.O(d1) = 85946571 Dl.O(d2) = 261181421,127807240,127807228,113927634,99904706,259385781,72351289,257528211,38320089,29751068,22391279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13992857, s2 = 10462361, dlinesl.size( ) = 10 s1 = 11310081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11310081, s2 = 11230224, int(edited[s2]) = 0 s1 = 11310081, s2 = 11230224, d1 = 7, d2 = 13 Dl.O(d1) = 114748328 Dl.O(d2) = 73119249,60379301,48982472,39059760,268420187,16812184,11756373,7849549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11310081, s2 = 11230224, dlinesl.size( ) = 14 s1 = 10470065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10470065, s2 = 11175936, int(edited[s2]) = 0 s1 = 10470065, s2 = 11175936, d1 = 49, d2 = 13 Dl.O(d1) = 266337518,232481966 Dl.O(d2) = 130464096,116619515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10470065, s2 = 11175936, dlinesl.size( ) = 24 s1 = 10471403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10478636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10478636, s2 = 4808364, int(edited[s2]) = 0 s1 = 10478636, s2 = 4808364, d1 = 10, d2 = 7 Dl.O(d1) = 260841279 Dl.O(d2) = 196837779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10478636, s2 = 4808364, dlinesl.size( ) = 22 s1 = 11668476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11638557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638557, s2 = 11638218, int(edited[s2]) = 0 s1 = 11638557, s2 = 11638218, d1 = 13, d2 = 8 Dl.O(d1) = 267592999,275061051,247076162,267622532 Dl.O(d2) = 267612096,267586948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638557, s2 = 11638218, dlinesl.size( ) = 18 s1 = 11348357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348357, s2 = 11494096, int(edited[s2]) = 0 s1 = 11348357, s2 = 11494096, d1 = 16, d2 = 11 Dl.O(d1) = 261218888,173210908,262753802,199073961,199073965 Dl.O(d2) = 199073958,191670689,183061683,273493081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348357, s2 = 11494096, dlinesl.size( ) = 12 s1 = 15191503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14893012, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14893012, s2 = 4786463, int(edited[s2]) = 0 s1 = 14893012, s2 = 4786463, d1 = 139, d2 = 128 Dl.O(d1) = 41602719,51902677,63709520,73171808,76810975 Dl.O(d2) = 202091613,195190358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14893012, s2 = 4786463, dlinesl.size( ) = 72 s1 = 14082616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12235742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11479673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479673, s2 = 11181720, int(edited[s2]) = 0 s1 = 11479673, s2 = 11181720, d1 = 6, d2 = 1 Dl.O(d1) = 211518175,215596369,218967103,218967105,215596375 Dl.O(d2) = 206527297,200488512,273533559,140187853,126839271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479673, s2 = 11181720, dlinesl.size( ) = 2 s1 = 11479673, s2 = 11181720, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11479673, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11502887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502887, s2 = 13994607, int(edited[s2]) = 0 s1 = 11502887, s2 = 13994607, d1 = 13, d2 = 23 Dl.O(d1) = 218889513,221637452,265360213,226226490 Dl.O(d2) = 236542558,235657265,235657266,236542560,236542557,274691154,234685642,233620823,232449929,232449930,233620825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502887, s2 = 13994607, dlinesl.size( ) = 20 s1 = 11358673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358673, s2 = 11100272, int(edited[s2]) = 0 s1 = 11358673, s2 = 11100272, d1 = 17, d2 = 20 Dl.O(d1) = 141541941,259666294 Dl.O(d2) = 59977507,59977508,48585872,38669845,30092740,22711154,16507071,11502759,7651372,7651370,11502755,16507067,16507908,11504686,7652912,6995666,6995667,10602884,15348699,16507216,21181981,21181979,28402753,255489804,255489802,18915424,13484708,9225830,9225833,11496911,11496909,16500316,22704075,30085929,30088596,34286744,26411444,19676291,19676287,14105569,12934732,254169242,22706174,16502115,11498380,7648157,7648156,6276550,3930220,3930221,4003854,2399302,1388314,789519,789518,1388311,2399297,4003846,6381625,9702523,14105672,19469989,20973046,28151131,32011420,24450945,18033569,18033570,18283917,18283918,12977325,8953231,8953226,13136755,9441223,8953252,8953254,13136755,9441223,8953252,8953254,13136755,9441229,6212899,6212902,9475439,13816706,19322241,13934624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358673, s2 = 11100272, dlinesl.size( ) = 22 s1 = 13994964, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11426849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11426849, s2 = 14138184, int(edited[s2]) = 0 s1 = 11426849, s2 = 14138184, d1 = 5, d2 = 28 Dl.O(d1) = 188783959 Dl.O(d2) = 264697810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11426849, s2 = 14138184, dlinesl.size( ) = 32 s1 = 12235890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12235900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13995276, s2 = 11548556, int(edited[s2]) = 0 s1 = 13995276, s2 = 11548556, d1 = 10, d2 = 2 Dl.O(d1) = 231639558 Dl.O(d2) = 226783819,224720203,265227571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13995276, s2 = 11548556, dlinesl.size( ) = 24 s1 = 11630203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630203, s2 = 11623228, int(edited[s2]) = 0 s1 = 11630203, s2 = 11623228, d1 = 16, d2 = 1 Dl.O(d1) = 267384076 Dl.O(d2) = 244333624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630203, s2 = 11623228, dlinesl.size( ) = 18 s1 = 12235934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11791519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11791521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12236072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14017853, s2 = 11453222, int(edited[s2]) = 0 s1 = 14017853, s2 = 11453222, d1 = 93, d2 = 44 Dl.O(d1) = 100348,267737607,254104173,1060429,1858162,3174175,254829719,17176039,254888056,15480420,10704998,10704997,15480419,21484306,28742056,35010336,35010335,41975165,256067604,257128620,51050804 Dl.O(d2) = 173501776,264125527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14017853, s2 = 11453222, dlinesl.size( ) = 34 s1 = 14123563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14123563, s2 = 10537459, int(edited[s2]) = 0 s1 = 14123563, s2 = 10537459, d1 = 10, d2 = 14 Dl.O(d1) = 177914928,167425579 Dl.O(d2) = 262347289,272970862,155796549,155796550,143244966,129913612,116013783,116013782,129913611,143244963,155796549,155796552,155796551,262818647,155796546,143244961,143244962,143244970,129913617,116013785,101967107,101967108,271862561,143244972,262347289,272970862,155796549,155796550,143244966,129913612,116013783,116013782,129913611,143244963,155796549,155796552,155796551,262818647,155796546,143244961,143244962,143244970,129913617,116013785,116013784,129913614,143244967,155796551,262818647,155796546,143244961,143244962,143244970,129913617,116013785,101967107,87992601,269967552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14123563, s2 = 10537459, dlinesl.size( ) = 2 s1 = 14123563, s2 = 10537459, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14123563, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 14138367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11271669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11271669, s2 = 10543163, int(edited[s2]) = 0 s1 = 11271669, s2 = 10543163, d1 = 8, d2 = 22 Dl.O(d1) = 261634247,273524703,215358589,218749796 Dl.O(d2) = 219697043,216436364,274115192,207695740,263961295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11271669, s2 = 10543163, dlinesl.size( ) = 18 s1 = 11791769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13997050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15194210, s2 = 11019736, int(edited[s2]) = 0 s1 = 15194210, s2 = 11019736, d1 = 36, d2 = 96 Dl.O(d1) = 170870197,159542543,147183909 Dl.O(d2) = 258033052,256844636,21810314,15748332,10907022,7213604,4545031,2732203,2732201,4545017,7213564,8345460,12352164,17516404,23859818,31353338,25275007,25275006,32999657,28368627,23859730,23859731,268631522,37976672,47894343,49722261,39703457,39703456,46746279,47564604,39963022,31287666,28367595,21151024,21151025,28366353,21151711,21151712,28368405,36866077,255811927,21152503,255969939,16945985,11860202,11860204,16945989,23218559,23676951,31165235,29682396,29682394,33737910,31165207,31165206,39241485,36864049,28370539,28370540,31165200,255930552,255252164,15198782,15198784,255812111,36867814,37934463,39711290,31034059,31034060,28371045,21154088,21154087,28371043,256839929 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15194210, s2 = 11019736, dlinesl.size( ) = 24 s1 = 10562601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10562601, s2 = 15007030, int(edited[s2]) = 0 s1 = 10562601, s2 = 15007030, d1 = 1, d2 = 6 Dl.O(d1) = 234277969,233172558,231949708,230591117,229064376,229064378,229064374,229064375,230591114,266167461,234277963,233172557,231949707 Dl.O(d2) = 229064375,230591114,266167461,234277963,233172557,231949707,230591116,265697602,265363708,223077969,225355197,227334232,229064370,266049839,233172551,234277967,233172558,231949708,231949709,233172554,265976784,266167459,231949700,231949706,233172545,231949698,230591106,229064368,227334231,225355195,223077968,264959246,213602109,209047458,263853506,105041877,268382296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10562601, s2 = 15007030, dlinesl.size( ) = 2 s1 = 10562601, s2 = 15007030, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10562601, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 12236398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998032, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13998032, s2 = 10574100, int(edited[s2]) = 0 s1 = 13998032, s2 = 10574100, d1 = 1, d2 = 14 Dl.O(d1) = 78437450 Dl.O(d2) = 53170584,65155085,65155071,65155070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13998032, s2 = 10574100, dlinesl.size( ) = 8 s1 = 11406939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406939, s2 = 10577817, int(edited[s2]) = 0 s1 = 11406939, s2 = 10577817, d1 = 3, d2 = 6 Dl.O(d1) = 178363868,273589505,202413499,195565891 Dl.O(d2) = 212913102,216791838,265261011,225051833,227076546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406939, s2 = 10577817, dlinesl.size( ) = 2 s1 = 11406939, s2 = 10577817, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11406939, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 12236464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12236464, s2 = 13035674, int(edited[s2]) = 0 s1 = 12236464, s2 = 13035674, d1 = 37, d2 = 34 Dl.O(d1) = 25902564,19241767,13747764,9419442,6171775,3861847,2313502,2313506,2415581 Dl.O(d2) = 78452816,78452817,92490116,106797371,115923067,115923066,115923067,101875982,87901569,74297737,61520013,50040755,40021075,31341629,23848631,17506440,12344271,8339723,8339724,12344272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12236464, s2 = 13035674, dlinesl.size( ) = 30 s1 = 13998474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13998474, s2 = 11325360, int(edited[s2]) = 0 s1 = 13998474, s2 = 11325360, d1 = 74, d2 = 2 Dl.O(d1) = 257384922,20829652,20043303,268336389,23321979,21841815,255057655,4555921,4555920,2740976,256901767,272848324,259960325,127182050,140528729,140528724,127182048 Dl.O(d2) = 109738318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13998474, s2 = 11325360, dlinesl.size( ) = 52 s1 = 11550677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10586622, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11126383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126383, s2 = 10595146, int(edited[s2]) = 0 s1 = 11126383, s2 = 10595146, d1 = 14, d2 = 16 Dl.O(d1) = 255669140 Dl.O(d2) = 254300540,9477383,6214285,6214287,9477387,12197583,12197585,14172575,9748767,9748768,14172787,267972494,9751154,9751360,6411695,6411694,4765954,2872980,2872979,4765951,7534209,11337669,16295371,22463670,19792364,14177004,10041971,6599276,6599277,10041977,10042680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126383, s2 = 10595146, dlinesl.size( ) = 18 s1 = 11792125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14059874, s2 = 11144876, int(edited[s2]) = 0 s1 = 14059874, s2 = 11144876, d1 = 3, d2 = 2 Dl.O(d1) = 256107434,11759654,7851842,4983775 Dl.O(d2) = 4983690,3010389,3010392,4983702,7851621,11759751,11452668,255484013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14059874, s2 = 11144876, dlinesl.size( ) = 8 s1 = 11144875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144875, s2 = 14059873, int(edited[s2]) = 0 s1 = 11144875, s2 = 14059873, d1 = 5, d2 = 4 Dl.O(d1) = 255484012,15705833,10872612,10872611,13205949,9003444,5877857,3669678 Dl.O(d2) = 3669681,5877871,9003963,256107435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144875, s2 = 14059873, dlinesl.size( ) = 8 s1 = 11651119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651119, s2 = 11285408, int(edited[s2]) = 0 s1 = 11651119, s2 = 11285408, d1 = 18, d2 = 23 Dl.O(d1) = 263628042 Dl.O(d2) = 261293078,180707035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651119, s2 = 11285408, dlinesl.size( ) = 30 s1 = 13999430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10605774, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10605774, s2 = 11118208, int(edited[s2]) = 0 s1 = 10605774, s2 = 11118208, d1 = 7, d2 = 7 Dl.O(d1) = 261663099,126655586,126655587,126655589,126655590,112797017,98804504,84875883,258062619,58569372,71301399,84875882,259933427,112797019,98804505,84875884,258062619,256871911 Dl.O(d2) = 261663099,126655586,126655587,126655589,126655590,112797017,98804504,84875883,258062619,58569372,71301399,84875882,259933427,112797019,98804505,84875884,258062619,256871911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10605774, s2 = 11118208, dlinesl.size( ) = 2 s1 = 10605774, s2 = 11118208, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10605774, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 10611477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11636637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636637, s2 = 11633550, int(edited[s2]) = 0 s1 = 11636637, s2 = 11633550, d1 = 44, d2 = 60 Dl.O(d1) = 267524876 Dl.O(d2) = 246246994,246150261,246049006,245941608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636637, s2 = 11633550, dlinesl.size( ) = 64 s1 = 11792263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11792263, s2 = 10613045, int(edited[s2]) = 0 s1 = 11792263, s2 = 10613045, d1 = 0, d2 = 12 Dl.O(d1) = 219329815,222125839 Dl.O(d2) = 224526612,265726917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11792263, s2 = 10613045, dlinesl.size( ) = 16 s1 = 10613044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10613044, s2 = 11792264, int(edited[s2]) = 0 s1 = 10613044, s2 = 11792264, d1 = 18, d2 = 1 Dl.O(d1) = 265726916,225525471,225525470 Dl.O(d2) = 220678981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10613044, s2 = 11792264, dlinesl.size( ) = 2 s1 = 10613044, s2 = 11792264, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10613044, Dl.E( ) = 20, 9.06e-06 seconds used appending s1 = 10613540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13999836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11227555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11677230, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11276167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11276167, s2 = 11235586, int(edited[s2]) = 0 s1 = 11276167, s2 = 11235586, d1 = 51, d2 = 54 Dl.O(d1) = 259968191,99411841,113413099,272201683,141493582,141493581,128132180,128132179,128132174,260393486,86242790,72640459 Dl.O(d2) = 100210857,86242789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11276167, s2 = 11235586, dlinesl.size( ) = 42 s1 = 11336371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336371, s2 = 11489820, int(edited[s2]) = 0 s1 = 11336371, s2 = 11489820, d1 = 15, d2 = 19 Dl.O(d1) = 261784839 Dl.O(d2) = 166495332,177076648,186431683,186431684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336371, s2 = 11489820, dlinesl.size( ) = 20 s1 = 14001320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11534041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534041, s2 = 14091270, int(edited[s2]) = 0 s1 = 11534041, s2 = 14091270, d1 = 9, d2 = 18 Dl.O(d1) = 262804430 Dl.O(d2) = 272897642,262804434,195053815,186970013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534041, s2 = 14091270, dlinesl.size( ) = 22 s1 = 11792525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12237130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14002134, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11614805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11090405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11090405, s2 = 10998794, int(edited[s2]) = 0 s1 = 11090405, s2 = 10998794, d1 = 103, d2 = 72 Dl.O(d1) = 255274098,11905869,254449812,30669635,33432118,32792874,25094058,25094057,19043208,19043209,21172047,254302724 Dl.O(d2) = 44072390,34755534,34755535,27287518,25278426,25278425,26735486,26140997,20294854,20294853,22753022,16541971,11528963,8589745,8589746,12651352,254193606,16963918,16963917 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182801, s2 = 11122800, int(edited[s2]) = 0 s1 = 11182801, s2 = 11122800, d1 = 14, d2 = 16 Dl.O(d1) = 259406701,259784598,268781378,72093420 Dl.O(d2) = 255297386,22152707,20817679,14920788,10260087,10260086,14920783,12602915,8552608,8552609,12602918,17803483,12677823,8610193,8610194,12677826,17897536,17803487,17803486,24170934,28294836,21087732,21087733,28294839,21794791,15735716,10898262,7207963,4541643,4541642,7207958,10898247,255310249,9720626,9720625,14129695,19706208,257867009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182801, s2 = 11122800, dlinesl.size( ) = 12 s1 = 14040525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14002654, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14002654, s2 = 15579240, int(edited[s2]) = 0 s1 = 14002654, s2 = 15579240, d1 = 62, d2 = 61 Dl.O(d1) = 9706493,9706495,14110408,15369205,10619549,7008328,254731063,6994310,4395585,2634042,1521112,862459,486754,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,2444369,4085629,2444355,2444356,2444178,2444179,4085048,6518524,9916387,6516884,4083295,4083294,6516880,5652264,5652263,8685697,12777647,18027505,16684440,16684439,14418785,14418786,14541700,14541701,10603153,6995869,4396544,4396543,5647844,8679816,12770016,13352798,9124852,9124851,9935439,6529994,6529995,6266162,6266164,9122302,10635915,7021158,5971780,5969015,5969013,6520236,6520237,9917044,13351273,9123532,9123531,13351271,14420771,9919310,9919309,14420769,20109745,25331478,268009146,13350892,18751864,25331481,30202380,24359885,17965230,12731155,12731154,8891776,5800425,3617671,2160304,2160305,3617675,5800435,5896644,5883414,5883411,3673270,3673267,4980572,4540183,4540184,7206324,9049032,9049029,13261821,18650702,17347854,13245181,9034580,9034578,12220727,17347906,13056532,8896780,6191931,6191928,9445258,13243324,9032903,9032900,11701940,8398063,5419341,3331484,3331486,2202229,1279402,1279400,2202119,2202031,2160907,2160905,2160347,2160345,1282843,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737227,2992381,4956729,7802759,7802762,7802844,7802847,6267661,6267665,9127559,9127562,13356023,18756908,25336494,25336510,26145337,254884690 Dl.O(d2) = 38087959,29524095,22181809,17834186,12628568,8574128,8574129,12628570,17834192,22180967,25887914,19229833,13737576,13737575,16612019,11586733,11586732,14347942,12359110,12359115,17450254,17450257,17500876,12340102,12340100,12681144,8612946,8612944,12681138,17901329,24281932,17946746,14041304,14041303,17142155,23418325,23710833,17387309,17387310,18337458,18337459,23780566,17787706,12589687,12589685,17787701,12589694,8541379,8541377,12589689,17787709,24154865,22845368,16622131,11594626,7718409,4885335,4885336,7718413,11594634,16622145,22845383,30238597,24111271,17750904,12559693,8515320,8515319,12559691,17750900,24111264,24157415,17818740,12615848,8563583,5560476,5560477,8503015,5503685,3392677,1999429,1999428,3392672,5503670,8502986,12543427,17729467,267847396,22053136,15949671,11068553,7339195,7339196,11068557,15949679,11069302,268081961,15941733,11062256,11062257,11057304,7331937,7331939,254702802,22036588,22044786,15941843,15941842,11069415,7339818,4636194,2792676,1619956,1619955,2792671,4636186,4639201,2794308,2794307,4639198,7345017,11077009,255072700,11081909,11081908,15964346,21653483,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066813,11050227,7325469,7325471,4626283,4626285,7325539,11050333,11078278,15927069,11063618,11063551,11063547,15943260,22042796,15958870,11075880,11075879,11081151,11081153,15961425,15961428,22038201,15963333,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14002654, s2 = 15579240, dlinesl.size( ) = 2 s1 = 14002654, s2 = 15579240, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14002654, Dl.E( ) = 64, 2.19e-05 seconds used appending s1 = 11616979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616979, s2 = 11556124, int(edited[s2]) = 0 s1 = 11616979, s2 = 11556124, d1 = 22, d2 = 81 Dl.O(d1) = 243194116 Dl.O(d2) = 231162205,265841539,228090222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616979, s2 = 11556124, dlinesl.size( ) = 56 s1 = 14876695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14876695, s2 = 11402418, int(edited[s2]) = 0 s1 = 14876695, s2 = 11402418, d1 = 36, d2 = 20 Dl.O(d1) = 256334485,47240063,260537709,140059216 Dl.O(d2) = 264242522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14876695, s2 = 11402418, dlinesl.size( ) = 32 s1 = 14048065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11680206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11680320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14091981, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14003578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10691823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10691823, s2 = 14003577, int(edited[s2]) = 0 s1 = 10691823, s2 = 14003577, d1 = 11, d2 = 8 Dl.O(d1) = 1262920,2179438,3557878,2119752,2119751,3557874,3557963,3557965,2179584,2179578,2179577,3646300,5843225,5715491,3557865,3557864,5715489,5715857,5715856,5715985,5715984,5715524,5715521,3558241,3558242,5713624,3558154,2179613,2179614,2179790,2179789,3646600,5715481,3557856,3557857,3558262,3556076,254429251 Dl.O(d2) = 690327,385420,212171,212170,385417,690320,690333,1222020,1221579,1221578,1221766,1221765,1221771,1221772,2118982,2118674,1221559,1221561,2118679,3556103,2120038,2120037,3556526,2118949,2118950,3556530,5713526,254891361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10691823, s2 = 14003577, dlinesl.size( ) = 2 s1 = 10691823, s2 = 14003577, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10691823, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14082852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11221185, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13250009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13250009, s2 = 11165890, int(edited[s2]) = 0 s1 = 13250009, s2 = 11165890, d1 = 37, d2 = 17 Dl.O(d1) = 8323550,5371086,3301946,267844301,3454032,254193043,658876,365228,199752,108759,108760,199755,199726,108743,108742,199562,199563,364880,658269,1172716,2045438,3452333,5568459,5568130,3452040,2045266,1172618,658218,658217 Dl.O(d2) = 3300651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13250009, s2 = 11165890, dlinesl.size( ) = 38 s1 = 11400807, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11556299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556299, s2 = 7314287, int(edited[s2]) = 0 s1 = 11556299, s2 = 7314287, d1 = 162, d2 = 158 Dl.O(d1) = 265769297 Dl.O(d2) = 265312058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556299, s2 = 7314287, dlinesl.size( ) = 32 s1 = 14142691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142691, s2 = 11468972, int(edited[s2]) = 0 s1 = 14142691, s2 = 11468972, d1 = 11, d2 = 19 Dl.O(d1) = 265213844 Dl.O(d2) = 216089032,212103385,207224778,201308446,263180584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142691, s2 = 11468972, dlinesl.size( ) = 28 s1 = 12237632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577249, s2 = 11460822, int(edited[s2]) = 0 s1 = 11577249, s2 = 11460822, d1 = 8, d2 = 10 Dl.O(d1) = 235836024 Dl.O(d2) = 265648082,265103242,264369960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577249, s2 = 11460822, dlinesl.size( ) = 16 s1 = 12237832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14007680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11151167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151167, s2 = 11358308, int(edited[s2]) = 0 s1 = 11151167, s2 = 11358308, d1 = 15, d2 = 18 Dl.O(d1) = 258179155 Dl.O(d2) = 262606295,154102250,141431117,128065587,114178768,100148467,86185565,72587866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151167, s2 = 11358308, dlinesl.size( ) = 20 s1 = 11479361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479361, s2 = 11589940, int(edited[s2]) = 0 s1 = 11479361, s2 = 11589940, d1 = 8, d2 = 11 Dl.O(d1) = 264319668,263670258,200386235,264013278,215524477,264842984,216929757,265269027,225131344,265620423,228174331 Dl.O(d2) = 265269028,215524478,264319672,265177497,266320539,266658379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479361, s2 = 11589940, dlinesl.size( ) = 12 s1 = 11589939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589939, s2 = 11479362, int(edited[s2]) = 0 s1 = 11589939, s2 = 11479362, d1 = 10, d2 = 9 Dl.O(d1) = 266658378,266320538,265177496,264319673,208383578,265269029 Dl.O(d2) = 225131347,265620422,227145910,265269026,220118115,264842985,208383577,264013279,187973932,263670259,264319669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589939, s2 = 11479362, dlinesl.size( ) = 12 s1 = 11685978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14008610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447677, s2 = 11062628, int(edited[s2]) = 0 s1 = 11447677, s2 = 11062628, d1 = 23, d2 = 38 Dl.O(d1) = 263026525 Dl.O(d2) = 258188918,20093841,20093843,26982773,32194268,32194266,24605886,18157238,12875680,12875682,9535045,6255098,3915727,3915729,6255103,9535059,13895422,19421768,26114982,20093902,20093901,26114986,256172767,19615117,14056097,14056098,19615120,19647193,20093871,16785385,16785386,23027707,30434053,26343901,19615066,19615065,19615086,26114968,26114964,26982802,20093879,20093882,25970696,19303922,19303921,25970695,33780994,33989052,43047801,40948577,39023519,34261270,34261272,33780973,33780974,33780982,30433674,23027392,23027389,24583025,21340668,15366367,10617165,10617166,10617151,10617150,15366343,21340641,23027472,23027471,24582820,24582818,256069969,18139206,18139204,24582806,32168689,33989049,26148129,19450111,13918820,13918821,9553407,9553408,13918828,19450120,19648758,14083560,14083565,19304142,13802521,13802520,19304133,14082456,14082457,13802625,13802621,14083492,19648684,19421687,13895343,9535004,9535003,13803339,9465661,6206538,6206537,9465659,6371996,3998412,3984155,3984154,6349926,6371980,6371981,9687098,9656837,9534980,6372061,3998450,3998449,6372054,9687206,13802699,9465263,6206304,6206303,9465125,13802500,13895363,9535025,6255087,3915723,2343902,1357725,1357724,2343896,3915716,6255079,6206200,3884519,2326031,2326032,3884521,3998379,3998380,6268547,6268548,9553410,9656827,6349975,3984190,3984189,4112321,6564236,6206236,3884562,2326057,2326058,3884567,6206268,3884557,3884556,6206265,9465203,6372024,3998438,2396300,2396299,3998435,6372032,9687176,9465082,6206191,6206192,9465085,13802443,13802705,9553376,9553377,9534987,6255058,3915710,3915711,6255064,9534998,6564248,6564246,6268567,3924817,3924819,6206205,9465105,13802467,19304054,13802541,9656848,6349995,3984200,2387865,1382326,786410,445574,437300,437298,769369,1348362,2326065,3884575,6206288,9465237,9687193,6372046,6372048,9465221,13802642,19304304,18888129,13460214,13460215,13918928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447677, s2 = 11062628, dlinesl.size( ) = 20 s1 = 11016047, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14033352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14033352, s2 = 4806996, int(edited[s2]) = 0 s1 = 14033352, s2 = 4806996, d1 = 92, d2 = 73 Dl.O(d1) = 24616583,18166458,12883283,12883284,18166460,24616585,25257753,25257752,32980888,41920998,51429394,41231581,41231580,34110010,34110011,40981953,256072654,27556047,27556048,28240068,28240067,255289086,13455603,13455605,18881896,25484727,24781805,24781802,24421500,24421502,25820177,31975123,25905614,24593117,18147153,18147156,24593127,25010153,19108179,19108175,24725912,24725914,24906319,18402238,18402239,18175719,18175718,20657540,16842029,11778065,11778066 Dl.O(d2) = 196648061,196648062,196648058,271079538,258442940,132745778,256676360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14033352, s2 = 4806996, dlinesl.size( ) = 30 s1 = 14009312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14009312, s2 = 10807706, int(edited[s2]) = 0 s1 = 14009312, s2 = 10807706, d1 = 11, d2 = 7 Dl.O(d1) = 109333260,123524771,137255073,150295094,261839250,183280145,183280148,179974396,169789011,261991488,169788999,179974389,169789014,158417048,146041974,132812615,118981988,118981987,132812613,146041972,158417044,261991488,158417033,146041965,146041966,158417036,169789002,262346586,169789005,169789004,169789007,169789006,169789012,169788997,169788998,179974388,169789014,158417048,146041974,132812615,118981988,118981987,132812613,146041972,158417043,158417038,146041967,132812611,118981986,104790427,90618900,76752699,63660200,51864541,41574107,32678361,25000390,18475091,13125508,8945985,8945986,13125510,13128807,13128809,16239443,11290016,10346388,10346386,15018566,18071581,12811654,8710827,5670513,3527246,3527244,3550585,3526684,2099003,1208527,681511,681510,1208520,2098993,3526661,3526693,5669357,8708551,12807852,12884232,16679697,11642662,11642660,8708662,7028709,7028706,8708701,8711465,5671050,5671046,8711800,5675003 Dl.O(d2) = 5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,3529697,3529703,5674933,8718296,12809125,8709357,5669782,3526905,3526903,5669773,5838462,5838459,8943986,13122258,18071502,24498944,32071059,40840434,50971920,62590418,75525051,89279494,103368313,117493127,131290556,144515033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14009312, s2 = 10807706, dlinesl.size( ) = 8 s1 = 10807705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178877, s2 = 11520686, int(edited[s2]) = 0 s1 = 11178877, s2 = 11520686, d1 = 47, d2 = 74 Dl.O(d1) = 255334098,99393286 Dl.O(d2) = 264926128,227835093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178877, s2 = 11520686, dlinesl.size( ) = 66 s1 = 11793831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14010806, s2 = 12716560, int(edited[s2]) = 0 s1 = 14010806, s2 = 12716560, d1 = 6, d2 = 5 Dl.O(d1) = 66005283,65500618,53478364,256665100,26109982,19417754,13892114,9532212,6252983,3914731,2343461,2343458 Dl.O(d2) = 6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914802,6253563,3914805,3914800,6253164,3914616,3914618,6253177,9530641,9530638,13889664,19414306,13890300,13890305,15431762,21423176,26896451,28669939,28117282,25099734,25099730,32801271,41721167,43407746,34306349,34306347,37562942,29016308,29016310,37562949,42792375,53243807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14010806, s2 = 12716560, dlinesl.size( ) = 2 s1 = 14010806, s2 = 12716560, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14010806, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11295217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295217, s2 = 14882300, int(edited[s2]) = 0 s1 = 11295217, s2 = 14882300, d1 = 20, d2 = 15 Dl.O(d1) = 259102376,53742312,256182058,33400801,25634537,268163336,254676776,3809172,2355570,1364358,777414,441234,441237,777426 Dl.O(d2) = 6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777844,8917541,6011442,6011439,8777889,9021623,13230613,255242082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295217, s2 = 14882300, dlinesl.size( ) = 22 s1 = 12238618, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14088116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11190667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14013298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14013298, s2 = 14013293, int(edited[s2]) = 0 s1 = 14013298, s2 = 14013293, d1 = 0, d2 = 0 Dl.O(d1) = 152587672,164443492,164443503,164443505,152587682,152587681,139878205,139878204,139878207,126512610,126512609,112648105,98651636,84721478,71151873,71151874,84721481,84721483,71151875,58430449,47055885,257442823,71151878,84721488,98651643,98651642,112648107,112648109,112648110,126512612,126512616,139878213,139878211,139878210,139878209,134090399,120254523,120254524,120254525,106048724,91850092,91850091,91850090,106048723,106048725,91850093,91850089,77925840,64735013,256900258,42417942,52819398,44352734,34975061,28566950,28566949,37069055,37348134,47257625,49217005,44352724,34975055,34975056,44352726,55203338,67547131,81016743,95075519,258714114,81016740,67547129,67547128,81016738,95075515,109329988,109329989,258714112,113776954,123521244,137251489,134711266,120912595,261469347,113776956,99762764,85808783,85808784,99762766,99762759,92355130,257918864,72214749,59477339,48087382,48087381,59477337,72214747,85808777,72214744,72214745,85808779,99762762,113776955,106659670,106659669,106659675,99762767,99762768,259795690,134711265,269639832,92355127,106659673,120912594,109130424,109130425,123339215,109130426,94864643,80798972,80798971,73739198,73739197,67330300,67330301,80798973,94864644,260391441,261024332,101473253,101473254,260369347,136352634,128056936,128056935,128056934,260020197,86169308,260020199,259838564,76486167,63439576,51690869,41441719,41441718,50359213,40332272,31643550,24136918,23529688,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,34872842,26848640,26480824,26480825,26805779,19946501,19946502,14284653,14284657,19946547,26805850,34858500,44209878,39565514,30942834,30942832,39562846,49510423,60927104,258852455,51881532,257754085,76774668,90640463,104810584,257929050,98579826,256234968,257929046,110101656,257929052,95890899,261016041,150788321,149749615,136548419,136548418,149749611,263009967,262604260,129347707,115448029,101397272,87418179,260094453,261026812,155301272,272810280,142689045,272799726,261810773,142689047,262792789,186794035,273739411,264842910,188947917,262003686,260905522,262442369,173396720,162338932,272480092,260432614,94901485,80835389,259775927,123375434,137125562,150185346,162338930,150190236,137131693,137131692,150190232,259858722,162317238,259858724,123341557,259201256,80802015,67333682,270651639,109132924,123341558,137094026,124217959,110100630,95890976,95890975,270178308,137849938,129846927,261293149,261580380,137094022,123341553,109132921,94867324,94867325,109132923,123341555,114767057,114767056,115257033,260685479,108185537,108185536,122556789,136488652,261037276,259858730,122412930,122412929,136388375,149646548,260461058,173408267,173408265,183224934,191807868,263449822,194857484,186748288,177436919,166893622,155203299,142561085,261104896,156906718,144498606,131266215,117459878,271926747,144498607,156906719,262599442,272489220,137132245,259836902,94910983,271163125,123383505,137132247,150190618,162342960,272479590,156908047,262105812,263449824,194898246,186800522,262792913,155327007,142725818,129395450,260095327,87494532,87494531,101464303,271848269,129368506,260456228,270767122,257979952,39639418,257623853,270102687,43753593,256195149,26548340,34513756,43753597,54059712,54059713,43769273,257281039,66717181,258607344,79449148,79449149,93584183,259823358,259774281,260980385,262074989,261470874,117465125,103332368,258944639,62558857,50949748,50949749,55084574,44250069,34891012,26830449,19962320,14293010,14293008,19962316,26830444,34891001,44250049,55084534,67417708,78581211,79928806,67092217,67092220,67103665,54809851,54809852,67103667,80554822,94614834,80660471,80660469,259571803,75513107,75513109,89266826,103357019,259204242,80719273,80719274,94790190,259228124,101414503,115462073,129358646,142696795,155306300,166971802,261594274,261586356,115501045,271241486,73881451,73881450,259479787,115501042,129391548,142722401,155324499,262792903,186799936,194897925,264271177,212482120,216417284,214733276,210492499,205302792,199033796,199033794,273682858,273304404,162399014,261582056,123486454,259831440,80979697,67510135,67510134,257956776,258520749,95038527,109293831,123486457,137218843,150261135,162399016,259830210,259219880,115376867,257977732,136888745,123073759,108821576,255775970,136468290,122530189,108155587,108155586,122530186,136468287,149698486,259205606,191609057,199025327,192293756,183814235,273080843,260437586,106974594,92636375,92636374,94162151,93770698,79662826,66271788,54135059,43539117,43539116,43538985,34387124,26480127,19724559,14139286,14139285,9725792,9725795,9830801,6457983,4047982,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423366,4047989,2423717,2423713,4049200,6461775,9838103,14321888,19998914,26877512,34953487,39638546,30986302,23529434,17225834,12109999,12110001,17225840,23529448,31003163,39667990,42028800,42028802,52368260,54830309,258520741,55167408,67510052,73904501,87508368,101476174,272474338,155331247,261039954,259236646,257985556,95017055,80957163,270250300,43652488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09119564,94853123,94853124,109119567,123328928,137082196,136575614,136575613,149710930,136489764,136489762,137115623,272774979,173391836,183213224,191800005,187809099,262111144,156904243,261542833,123365084,259775789,80825274,67356622,55026656,55026655,67356620,80825271,94891090,109157013,123365081,137115663,262075701,173391856,183213237,191800013,191800002,183213222,173391834,262603150,162332209,150176843,150176844,162332211,173391831,183213219,191799998,199183537,205429042,274078044,221220658,264932638,221215516,218291187,263813086,262593218,261573526,162265976,150098681,271671274,173335423,183165398,262593216,263427747,173429676,272775867,260390477,259149229,258519975,67471774,80940566,95000535,109258831,123403049,109198736,94935391,80872364,80872363,94935389,94935399,80872370,80872369,94935397,109198743,123398159,269716556,271245110,137187458,123448770,259818332,80928953,80928952,79880035,66477514,61159664,61159663,54973917,44155027,34816693,34816694,37176132,28657590,21413661,21413664,28657670,26883181,26883184,34879075,34879079,26843862,26838453,19970384,19970386,19951490,14287896,9816493,9816492,14287929,19739307,14146769,14146773,19739323,26462074,34353394,43478755,54041245,44030430,44030433,54169306,54169309,54573515,43830357,34558891,26572996,26572933,19771563,19771565,26572945,34558778,43830121,44001038,44019486,34724646,34724643,44019414,44019415,54789245,54931504,61083792,49632767,39644267,30989726,30989723,30991599,23523216,23523212 Dl.O(d2) = 152587672,164443492,164443503,164443505,152587682,152587681,139878205,139878204,139878207,126512610,126512609,112648105,98651636,84721478,71151873,71151874,84721481,84721483,71151875,58430449,47055885,257442823,71151878,84721488,98651643,98651642,112648107,112648109,112648110,126512612,126512616,139878213,139878211,139878210,139878209,134090399,120254523,120254524,120254525,106048724,91850092,91850091,91850090,106048723,106048725,91850093,91850089,77925840,64735013,256900258,42417942,52819398,44352734,34975061,28566950,28566949,37069055,37348134,47257625,49217005,44352724,34975055,34975056,44352726,55203338,67547131,81016743,95075519,258714114,81016740,67547129,67547128,81016738,95075515,109329988,109329989,258714112,113776954,123521244,137251489,134711266,120912595,261469347,113776956,99762764,85808783,85808784,99762766,99762759,92355130,257918864,72214749,59477339,48087382,48087381,59477337,72214747,85808777,72214744,72214745,85808779,99762762,113776955,106659670,106659669,106659675,99762767,99762768,259795690,134711265,269639832,92355127,106659673,120912594,109130424,109130425,123339215,109130426,94864643,80798972,80798971,73739198,73739197,67330300,67330301,80798973,94864644,260391441,261024332,101473253,101473254,260369347,136352634,128056936,128056935,128056934,260020197,86169308,260020199,259838564,76486167,63439576,51690869,41441719,41441718,50359213,40332272,31643550,24136918,23529688,23529689,30965546,30965549,39606184,44336610,44093704,34769763,34769767,34872842,26848640,26480824,26480825,26805779,19946501,19946502,14284653,14284657,19946547,26805850,34858500,44209878,39565514,30942834,30942832,39562846,49510423,60927104,258852455,51881532,257754085,76774668,90640463,104810584,257929050,98579826,256234968,257929046,110101656,257929052,95890899,261016041,150788321,149749615,136548419,136548418,149749611,263009967,262604260,129347707,115448029,101397272,87418179,260094453,261026812,155301272,272810280,142689045,272799726,261810773,142689047,262792789,186794035,273739411,264842910,188947917,262003686,260905522,262442369,173396720,162338932,272480092,260432614,94901485,80835389,259775927,123375434,137125562,150185346,162338930,150190236,137131693,137131692,150190232,259858722,162317238,259858724,123341557,259201256,80802015,67333682,270651639,109132924,123341558,137094026,124217959,110100630,95890976,95890975,270178308,137849938,129846927,261293149,261580380,137094022,123341553,109132921,94867324,94867325,109132923,123341555,114767057,114767056,115257033,260685479,108185537,108185536,122556789,136488652,261037276,259858730,122412930,122412929,136388375,149646548,260461058,173408267,173408265,183224934,191807868,263449822,194857484,186748288,177436919,166893622,155203299,142561085,261104896,156906718,144498606,131266215,117459878,271926747,144498607,156906719,262599442,272489220,137132245,259836902,94910983,271163125,123383505,137132247,150190618,162342960,272479590,156908047,262105812,263449824,194898246,186800522,262792913,155327007,142725818,129395450,260095327,87494532,87494531,101464303,271848269,129368506,260456228,270767122,257979952,39639418,257623853,270102687,43753593,256195149,26548340,34513756,43753597,54059712,54059713,43769273,257281039,66717181,258607344,79449148,79449149,93584183,259823358,259774281,260980385,262074989,261470874,117465125,103332368,258944639,62558857,50949748,50949749,55084574,44250069,34891012,26830449,19962320,14293010,14293008,19962316,26830444,34891001,44250049,55084534,67417708,78581211,79928806,67092217,67092220,67103665,54809851,54809852,67103667,80554822,94614834,80660471,80660469,259571803,75513107,75513109,89266826,103357019,259204242,80719273,80719274,94790190,259228124,101414503,115462073,129358646,142696795,155306300,166971802,261594274,261586356,115501045,271241486,73881451,73881450,259479787,115501042,129391548,142722401,155324499,262792903,186799936,194897925,264271177,212482120,216417284,214733276,210492499,205302792,199033796,199033794,273682858,273304404,162399014,261582056,123486454,259831440,80979697,67510135,67510134,257956776,258520749,95038527,109293831,123486457,137218843,150261135,162399016,259830210,259219880,115376867,257977732,136888745,123073759,108821576,255775970,136468290,122530189,108155587,108155586,122530186,136468287,149698486,259205606,191609057,199025327,192293756,183814235,273080843,260437586,106974594,92636375,92636374,94162151,93770698,79662826,66271788,54135059,43539117,43539116,43538985,34387124,26480127,19724559,14139286,14139285,9725792,9725795,9830801,6457983,4047982,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423366,4047989,2423717,2423713,4049200,6461775,9838103,14321888,19998914,26877512,34953487,39638546,30986302,23529434,17225834,12109999,12110001,17225840,23529448,31003163,39667990,42028800,42028802,52368260,54830309,258520741,55167408,67510052,73904501,87508368,101476174,272474338,155331247,261039954,259236646,257985556,95017055,80957163,270250300,43652488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09119564,94853123,94853124,109119567,123328928,137082196,136575614,136575613,149710930,136489764,136489762,137115623,272774979,173391836,183213224,191800005,187809099,262111144,156904243,261542833,123365084,259775789,80825274,67356622,55026656,55026655,67356620,80825271,94891090,109157013,123365081,137115663,262075701,173391856,183213237,191800013,191800002,183213222,173391834,262603150,162332209,150176843,150176844,162332211,173391831,183213219,191799998,199183537,205429042,274078044,221220658,264932638,221215516,218291187,263813086,262593218,261573526,162265976,150098681,271671274,173335423,183165398,262593216,263427747,173429676,272775867,260390477,259149229,258519975,67471774,80940566,95000535,109258831,123403049,109198736,94935391,80872364,80872363,94935389,94935399,80872370,80872369,94935397,109198743,123398159,269716556,271245110,137187458,123448770,259818332,80928953,80928952,79880035,66477514,61159664,61159663,54973917,44155027,34816693,34816694,37176132,28657590,21413661,21413664,28657670,26883181,26883184,34879075,34879079,26843862,26838453,19970384,19970386,19951490,14287896,9816493,9816492,14287929,19739307,14146769,14146773,19739323,26462074,34353394,43478755,54041245,44030430,44030433,54169306,54169309,54573515,43830357,34558891,26572996,26572933,19771563,19771565,26572945,34558778,43830121,44001038,44019486,34724646,34724643,44019414,44019415,54789245,54931504,61083792,49632767,39644267,30989726,30989723,30991599,23523216,23523212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14013298, s2 = 14013293, dlinesl.size( ) = 2 s1 = 14013298, s2 = 14013293, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14013298, Dl.E( ) = 2, 1e-05 seconds used appending s1 = 14013294, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11186995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186995, s2 = 11139794, int(edited[s2]) = 0 s1 = 11186995, s2 = 11139794, d1 = 26, d2 = 21 Dl.O(d1) = 257540017,22568859,256959687,59775770,257385098,46299749,36446405 Dl.O(d2) = 27987082,20822306,254704198,6743787,6743784,10262624,14924380,20822274,20968244,22753526,25325951,18746967,13346734,10786764,10786767,15592675,16289156,268639709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186995, s2 = 11139794, dlinesl.size( ) = 22 s1 = 10906340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11352757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14064643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14029419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14029419, s2 = 12202552, int(edited[s2]) = 0 s1 = 14029419, s2 = 12202552, d1 = 94, d2 = 111 Dl.O(d1) = 9282223,6080397,3804614,2278998 Dl.O(d2) = 264516479,216031623,212038474,212038473,265001163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14029419, s2 = 12202552, dlinesl.size( ) = 40 s1 = 14014561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14014561, s2 = 14071960, int(edited[s2]) = 0 s1 = 14014561, s2 = 14071960, d1 = 6, d2 = 6 Dl.O(d1) = 1452251,2520025,4214870,6722987,10232285,14880856,20760749,27903059,36332155,46091885,54591527,66850365,66850363,258494240,43846794,54591230,66849965,68328767,68328766,81853685,95856385,256063114,62917413,62917415,257123192,83073886,260784480,257273868,257273870,258520632,46119461,257376527,45596333,35941523,35824399,27563250,27325351,20457361,20457358,14766944,10155559,10155560,10155563,14766948,255734974,255778141,36294076,257298612,35486778,27338283,20387950,14632546,14632544,10075730,6618302,4172841,4172839,6611703,6611702,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442577,2500014,1452417,1452412,2520391,4215516,6635237,10104845,14692800,20476292,27465481,35667359,28633376,21394234,21394233,28633367,37147468,45866497,57095998,69720073,83254649,97181701,258496556,60026757,60026758,269984514,69851920,257893218,97278253,259118984,96601964,83270208,69733894,258826373,257595598,256470328,32193420,26928505,20042954,254910294,6976796,6930358,6930359,10509661,15234878,21199610,28422478,33214999,26686980,19868031,15248613,15248614,21217096,28442896,30902713,39510848,31149813,28965021,21683075,21683074,28965019,256604356,59504264,65551340,53526479,43046803,33988154,33988155,43046805,44387045,257304569,67578862,61530968,50051566,50051567,61530971,53526389,53526390,65551246,53526379,43046662,33988006,26147167,19449113,13917884,13917885,19449114,26147169,31671322,24161594,17794050,17794049,24161592,26147381,19449247,19449246,26147379,25050936,18514263,18514262,18307160,18307159,24789911,32415391,32335052,24718903,18245774,12943083,8805748,8805747,12943081,18245771,21680623,21680622,28962751,268926683,47413661,58800552,71529449,85100655,79359208,65992066,53923045,53923044,258482519,93495861,260362533,136346297,136346298,149613695,161912446,173065368,263783345,191584197,199005816,264113870,214720823,263007686,210476833,205282130,261526672,191584205,182950291,173065389,161912477,149613728,136346325,122361238,257270136,93495856,89153066,89153067,103242903,117372140,131174708,120839794,106591467,92293160,78266000,64992440,53017377,42577182,33560515,254594184,13660043,9354093,6126997,3833479,2296805,2296806,3833388,3833392,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296914,3833411,3833414,6126857,9353889,13659766,255685661,25770751,33560168,42576859,53017056,64992134,78265698,259691401,81261950,67793653,55451553,44602623,44602620,55451549,67793646,81261939,81261948,81261947,95321621 Dl.O(d2) = 1452251,2520025,4214870,6722987,10232285,14880856,20760749,27903059,36332155,46091885,54591527,66850365,66850363,258494240,43846794,54591230,66849965,68328767,68328766,81853685,95856385,256063114,62917413,62917415,257123192,83073886,260784480,257273868,257273870,258520632,46119461,257376527,45596333,35941523,35824399,27563250,27325351,20457361,20457358,14766944,10155559,10155560,10155563,14766948,255734974,255778141,36294076,257298612,35486778,27338283,20387950,14632546,14632544,10075730,6618302,4172841,4172839,6611703,6611702,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443003,1443000,2499976,1442580,1442577,2500014,1452417,1452412,2520391,4215516,6635237,10104845,14692800,20476292,27465481,35667359,28633376,21394234,21394233,28633367,37147468,45866497,57095998,69720073,83254649,97181701,258496556,60026757,60026758,269984514,69851920,257893218,97278253,259118984,96601964,83270208,69733894,258826373,257595598,256470328,32193420,26928505,20042954,254910294,6976796,6930358,6930359,10509661,15234878,21199610,28422478,33214999,26686980,19868031,15248613,15248614,21217096,28442896,30902713,39510848,31149813,28965021,21683075,21683074,28965019,256604356,59504264,65551340,53526479,43046803,33988154,33988155,43046805,44387045,257304569,67578862,61530968,50051566,50051567,61530971,53526389,53526390,65551246,53526379,43046662,33988006,26147167,19449113,13917884,13917885,19449114,26147169,31671322,24161594,17794050,17794049,24161592,26147381,19449247,19449246,26147379,25050936,18514263,18514262,18307160,18307159,24789911,32415391,32335052,24718903,18245774,12943083,8805748,8805747,12943081,18245771,21680623,21680622,28962751,268926683,47413661,58800552,71529449,85100655,79359208,65992066,53923045,53923044,258482519,93495861,260362533,136346297,136346298,149613695,161912446,173065368,263783345,191584197,199005816,264113870,214720823,263007686,210476833,205282130,261526672,191584205,182950291,173065389,161912477,149613728,136346325,122361238,257270136,93495856,89153066,89153067,103242903,117372140,131174708,120839794,106591467,92293160,78266000,64992440,53017377,42577182,33560515,254594184,13660043,9354093,6126997,3833479,2296805,2296806,3833388,3833392,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296914,3833411,3833414,6126857,9353889,13659766,255685661,25770751,33560168,42576859,53017056,64992134,78265698,259691401,81261950,67793653,55451553,44602623,44602620,55451549,67793646,81261939,81261948,81261947,95321621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14014561, s2 = 14071960, dlinesl.size( ) = 2 s1 = 14014561, s2 = 14071960, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14014561, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14071959, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14136639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14059690, s2 = 6943652, int(edited[s2]) = 0 s1 = 14059690, s2 = 6943652, d1 = 42, d2 = 28 Dl.O(d1) = 48831641,48825089,38902887,255949649,16682364,255505701,30316044,38902908,38908788,30322780,22921938,16687852,16687853,22921940,30322186,256450101,38908926,30322064,30322065,27131695,27131694,30322811,30323181,30323180,38906219,30319483,30319481,30322409,22921693,22921692,30322406,37415387,37415386,47323951,48830906,48831485,38910106,30322997,22922084,16687956,16687954,22922079,22921501,22921502,30322106,38908972,30322432,22921706,22921707,22922147,22922148,30323066,38909801,38910111,30323001,30319518,30319517,22922052,16687928,11649290,11649293,11649267,7761326,7761327,7761318,7761319,7761241,7761242,11649109,16687572,11649254,11649253,16687849,22921896,22921897,22921491,22921493,30319782,22922195,255122787,7761361,4915875,4915876,7761363,11649343,16688030,255950091,30321859,22921642,22921641,30322312,38909216,48830745,48458862,38546545,38546546,38909453,256994241,40512616,50548457,257539088,53367650,53367651,49849899,269393561,257331302,48827664,60224077,66934514,61956485,61956484,66856185,54597686,43935452,34661665,26669019,26669017,34661662,36987685,36987683,46866163,48830930,48458891,38546585,29977703,24222022,24222024,31729828,38273595,31729760,24221987,24221988,31729764,40423242,50460630,40512338,31815978,24300216,24300218,24300306,17917174,12694218,8623680,8623679,12694210,17917163,14593218,14593220,19791838,16703634,11663531,7774248,7774249,11663535,16703645,14183187,14183188,14553586,14553585,20283226,27209720,20281551,254762790,19337667,13828929,9484607,9484608,13712211,13712210,15942161,11062683,11062685,14528568,19360828,13848328,13848332,17124485,16137976,11210509,11210504,8742309,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939277,4878114,7707891,7706686,4877446,4877447,7706689,11578219,11772642,9500011,8616686,8616687,12685696,268450949,62024697,74821451,260158775,260974558,259819078,259836865,120016549,123819157,123819180,123819179,260187040,110658225,124653764,272486095,173919944,183645835,264142615,210835631,264409498,199384600,192027240,183474631,173691653,261531850,137556864,124554309,110534082,96415237,82417305,68892942,56977841,45774860,36066282,36066281,35859165,27585057,20551573,20551569,26243998,19526757,19526754,26243909,26243910,34107455,43193234,256255035,20600248,14774779,10161230,254991929,255772891,256787649,56807532,69386175,82906596,96847974,259234225,270772631,111385131,261039101,272650432,92762844,271088893,121402278,135156222,148328665,138610180,125247498,125198969,111331815,97338114,83419734,83419732,95683312,107014208,260921245,111509689,111051400,97026426,83095092,69567338,69567341,83095097,97026429,259857917,83628159,83628160,97426993,258607753,257374485,46054522,36265633,36058506,27716247,20637377,14799838,14799839,14646419,10074888,6617904,6617903,6648300,6611678,6611680,4182512,2500986,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443013,2501017,1443247,1443244,2495083,1440435,1440432,2495196,4174280,6666460,10149827,14758698,20574800,27619556,35909123,45550079,56687572,57308507,57308506,69956846,83494174,271270643,68426928,55976860,45011742,35538358,27377308,20416326,14652308,14652307,20416324,268561043,45011740,55976857,272768070,261017689,150827283,263044509,192112726,263609948,187362692,178130709,261810850,130202455,259479072,88275373,74646406,257041398,50369545,61854543,258231984,259479074,257731024,256592528,256243109,44953853,55905688,56260809,46062895,36272795,36272796,46062900,257879177,54496251,259127839,108537232,122822042,261532165,162051422,173158846,183015673,263663226,174094466,163226344,261893100,260964000,97382566,259854337,110893934,110893933,124834690,138295890,262073910,260978010,259769878,96576663,82593972,259833367,124665122,124259406,110152164,110152165,261016929,125215209,111352974,97364462,258605151,69909445,259141108,111352977,110771200,272130431,259476314,271375806,268584323,27749999,27702762,20628023,14793181,10174594,6686744,4190759,2506694,2506696,2489107,2489105,2497203,2497207,1441356,818412,818415,1441402,2480247,1433209,1433208,2480260,4148190,254699189,14666329,20438138,27411654,35592011,45091531,257944793,259195523,260430991,272249214,124765323,110800883,110800882,259757266,95510286,259128238,110787000,96712690,259128240,258609893,57406025,46114686,36310048,27887819,20750570,20750571,27887777,35276783,35276781,35696728,45235488,56266626,68761750,82287350,271629320,110480448,124514122,138063569,135878408,121950910,107574745,107574742,259571758,93167903,93167902,82394990 Dl.O(d2) = 257338427,68350543,81874801,261576653,162004583,260427682,127449090,259468438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14059690, s2 = 6943652, dlinesl.size( ) = 2 s1 = 14059690, s2 = 6943652, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14059690, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 12239098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11794533, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14480998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11794775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13161070, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11677132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14065685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11102281, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11795585, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11095547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15085848, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10982447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10982447, s2 = 12262814, int(edited[s2]) = 0 s1 = 10982447, s2 = 12262814, d1 = 11, d2 = 6 Dl.O(d1) = 1131129,634400,634401,1128861,634129,351921,351923,351914,351913,634112,1130708,1978990,1129894,1129893,1130072,633677,351686,351688,633686,1130088,1131666,634684,352211,352212,634689,1131674,1129695,1129697,1131923,1130135,633711,351699,351700,633714,1130138,1979276,3362548 Dl.O(d2) = 1128596,1977024,3362554,1979919,1130600,1130599,1979916,1980038,1130694,634102,634101,1130693,1980037,3365888,3364123,1978295,1978294,3364121,1980895,1980896,1979738,1130475,1130474,1979734,1979565,1979566,1980559,1980080,1980078,254274159,5471925,254408555,1977671,1977672,3363396,3365278,1979391,1130219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10982447, s2 = 12262814, dlinesl.size( ) = 12 s1 = 11796307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11796307, s2 = 6831021, int(edited[s2]) = 0 s1 = 11796307, s2 = 6831021, d1 = 34, d2 = 33 Dl.O(d1) = 256068721,12853348 Dl.O(d2) = 254291212,24878135,32521392,41370130,51594553,63317506,76347975,90175161,104326457,118509249,132348528,145594368,258975496,260218906,196468078,203154122,208759706,266163509 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11796331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10983131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983131, s2 = 16340561, int(edited[s2]) = 0 s1 = 10983131, s2 = 16340561, d1 = 10, d2 = 15 Dl.O(d1) = 1737150,2992209,254090984,11711799,16758732,22998182,30402910,38991896,48915430,60313520,60313519,48915435,38991900,38991899,30402915,30402914,38991901,48915427,38991892 Dl.O(d2) = 48915430,60313521,60313523,60313522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983131, s2 = 16340561, dlinesl.size( ) = 8 s1 = 14019586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14019586, s2 = 14311056, int(edited[s2]) = 0 s1 = 14019586, s2 = 14311056, d1 = 12, d2 = 10 Dl.O(d1) = 267742931,764667,1338734,2307202,3850914,2307230,2301697,1335658,762880,254094425,245099,433835,433832,245068,245070,433862,433861,434372,763599,1336828,2303611,3844419,6143941,9378631,255282901,9457415 Dl.O(d2) = 13792419,9457408,9457409,13792421,19291541,25955892,33764462,28836442,21564926,15542877,15542876,21564924,25955786,19291446,19291445,25955785,33764359,33764364,42795988,43164308,34081173,26220742,19506678,19506679,25955806,19291467,13792371,13792372,255696121,33764382,42796002,46690414,36806544,28309642,21099628,21099627,255918416,25955893,25955894,33764465,42376029,33600064,33600063,42624616,268395390,42795990,42795991,53116328,42664308,33634841,25832031,19179195,13695994,9379754,9379755,13695997,19179197,25832033,33634845,33387315,25621706,19007336,19007335,25621704,33387313,42376021,42658056,42658057,53090423,42641265,33614695,28825278,21554583,21554584,28825280,37365572,47275630,42640149,42640148,256155391,19175473,13693323,9377863,6143440,3844048,3844047,6143439,9377861,13693322,19175472,25827174,25724204,25724205,25955914,19291555,13792430,9457412,9457413,255289205,25955916,33764481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14019586, s2 = 14311056, dlinesl.size( ) = 2 s1 = 14019586, s2 = 14311056, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14019586, Dl.E( ) = 14, 7.15e-06 seconds used appending s1 = 13187137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 677506, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10994031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994031, s2 = 10984816, int(edited[s2]) = 0 s1 = 10994031, s2 = 10984816, d1 = 9, d2 = 14 Dl.O(d1) = 6564396,4112415,4112416,4113361,2460448,1422336,809197,458618,258682,258681,458683,809351,1422648,2461055,4114436,6567838,6567839,9993419,14516720,9988942,6565165,4112870,4112871,6565170,9988952,14516739,20230040,14523426,14523423,9994336,6568408,4114757,2461251,2461250,4114755,6568404,9993383,9993384,14523705,16698319,20240285,22697847,16495011,16495010,20228456,20228457,20230063,16495018,14521396,9991939,6566978,4113901,2460728,1422472,809253,458645,458646,809258,809335,1422623,2461029,4114406,6567857,9993407,9993408,14523739,20230000,14516711,9988936,9988933,9993528,9993530,14523911,20240554,20242236,20242238,27145992,20236778,14525148,9994352,9994317,6568396,6568397,9993369,6567817,6567818,9993374,14523689,20240277,22697762,16495006,16495005,20236743,14521331,14516752,9988965,9988966,14516758,9991887,6566945,4113880,2460712,1422461,1422460,2460709,2461018,2461017,4114387,4114398,6566924,6566925,9991855,14521283,20236684,20236953,14521490,14521489,20229984,14523902,14523904,20240545,27150276,27150289,29627320,22275634,22275633,20242335,14525167,14525111,9994310,9994309,14525108,14523673,14523675,20240264,27150852,22697773,16494941,16494940,22697767,27145943,27145942,27136670,20230054,20230057,20236704,14521308,9991880,6566936,4113874,4113863,4113862,6566917,7643756,6567824,6567825,6567842,9991861,14521272,14521280,20236678,27145881,27146147,27146144,27146143,25227101,25227100,20239720,14523259,14523260,20239725,27150294,29627318,27152571,27152573,35251144,27153314,20242274,20242262,20242263,20240256,20240255,27150843,35249264,35249273,27151082,20240526,20240525,22937154,16702015,16702014,22937151,30338264,27145903,20236696,20236698,20236651,14521259,9991836,9991835,11492686,11492687,14523713,14523719,14523767,20236686,20236674,20236673,27145874,35243033,27146061,27146059,27150299,22946572,22946573,20239740,14523267,14523268,20239748,27150328,30342200,22942247,22942249,30343441,35252072,35252068,27153308,27153306,35249257,35249256,35249259,38924677,30338366,30338367,27151077,22937190,16702031,11662326,11662324,16702025,22937176,22933548,16698702,16698701,22933540,30334369,27145820,27145819,22946491,22946490,30347799,26162234,19462105,19462107,22940912,30342119,35243023,38654438,30347902,22946591,16710257,11669211,11669212,16710263,20239737,20239734,27150306,30342250,22941045,22941044,22946562,30347868,34003887,30342454,22941226,16705557,16705559,22941236,30342466,38924647,30338336,30338338,38924655,30338550,30338287,22937165,22937164,30334400,22933565,16698712,11659372,11659371,16698706,22933554,29454102,29454101,30347792,22946498,16710202,16710203,22946502,22940908,22940909,268653011,16494074,11491943,11491945,16494081,12681316,12681315,17901605,24282291,31796107,38933503,38933136,30347477,22946178,22946177,30347473,38933102,30347780,30347779,38933088,31796130,24282315,24282316,31796113,30346999,22945631,16709479,16709478,22939596,16709897,11668967,11668968,16709903,22946152,30347450,30347363,30346116,30338418,30338417,38924708,48844948,38924537,30347811,22946517,16710208,16710207,22946510,22696651,16494105,11491957,7643310,7643309,11491952,16494095,17901595,24282273,31796094,40491025,48852803,48840121,38919628,30333229,22932392,22932394,22946108,16709866,11668955,11668954,16709832,16709831,22946058,22933081,16698312,16698311,22933077,22946114,17685119,16709878,11668960,11668961,16709883,22946120,22937082,22937083,22937289,16702101,16702102,22937297,30338441,30338606,30338412,22937276,16702092,16702093,11662624,11662622,11662764,14523463,9993231,6567748,6567749,9993235,14523466,20240004,22937434,17685146,17685147,22937033,22937337,16703071,16703070,22937320,30338453,22946084,16709851,16709852,12507445,12507443,17685113,256031253,256451137,256283985,20954665,255506986,7773985,7773976,7773975,6567928,6567929,9993566,11662284,7773370,4926010,4926011,7773376,11662289,16701967,22933664,16702373,16702374,14523987,9993583,6567945,4114476,4114464,2971280,1724157,980169,551905,551906,980173,1724169,2971303,4926365,7773917,255123587,255506941,255951375,255507323,11665882,11665876,11665877,11663950,7774628,4926841,4926842,7774635,11663964,16701812,16701804,11662148,11662149,7776404,7776406,6834852,4288468,2563984,2563983,4288463,6834842,7775816,7775813,11665131,16700363,11660919,7772240,7772155,4925364,2970660,2970659,2971574,2972357,4927864,7771066,7771065,7771086,7771085,7772130,7771169,4924287,2969857,1723245,1723246,2969863,4924296,7771179,7771263,4928132,2972524,2972525,4928137,6836311,10374943,11660982,7772298,7772297,7776018,7776019,11665361,15045963,10373159,7772366,4928315,2972648,2563978,2563977,2970573,4925256,7772330,7773133,7773107,4925834,2970990,1723990,980078,980079,1723995,2970996,4925842,7773112,11659296,7771111,7771109,7771115,7771114,4925223,4924339,2969914,2969871,1723250,1723086,1723087,2969669,4924110,4926489,4928210,2972576,2972577,4928214,7776392,8473657,8473658,8473636,5477379,5477380,8473646,12508437,15045986,10373209,6834941,4925052,2970371,1723558,1723557,2970365,4925040,4928189,2972557,1724995,1724996,1724010,980087,551866,551867,980095,1724025,2971030,4923854,4924249,2969827,1723229,1723230,2969832,2970532,1723753,980058,979464,551469,308676,308677,551476,979478,979496,1723126,981182,981181,1725863,2973916,1983422,1132921,635436,635435,1132915,1983416,3370588,4925373,2970669,1723743,979873,979872,979900,1723702,979853,979854,1723706,2970601,4925208,2970516,1723644,979820,979819,1722782,1722770,254246571,4923491,254368393,254368391,254368388,2972878,1725199,980798,552272,552271,979981,979982,1723873,267767677,551810,551811,979995,1723105,979480,254171429,2969683,4924117,7771004,11658893,7770251,4923537,254551469,11658612,7769996,4923289,2970693,1723769,979896,551747,551746,979891,1723765,2969367,4923680,7770469,4924164,2969730,1723149,981199,552491,309224,309223,552488,981196,1722508,980841,980839,552448,552447,979926,551823,551822,980016,1132805,1132806,1983229,3370261,2563911,1476447,1476445,2563904,3370247,3370229,2970331,2970330,2969053,1722630,979162,551298,308589,308590,551302,979171,1722639,1725434,980942,552340,552339,980939,1722871,979316,979317,1722875,2969362,1725901,1724404,980316,552005,308967,308965,552000,552475,981171,981156,552457,552458,981139,1724443,1132828,635391,352615,193094,105355,105354,193088,352602,470576,470575,834844,1476456,1132790,1132789,1724711,980513,980512,1724706,1722582,979140,979143,979185,979186,1722669,1722700,2563952,2563951,2969375,1722886,1722887,2969350,2969349,2972035,2972031,4927454,4923745,4923746,7770549,4926927,4926926,4288342,4288343,2973857,1725821,1724631,980454,980391,980392,1724519,2563971,1476491,834869,470594,264488,146402,80464,80463,146398,264479,470583,834853,1476472,2563314,4287466,4927492,4927498,6833503,4288334,4288333,4923311,2971858,2969136,2969137,4923402,4927480,7770473,7770475,7770494,7770465,7770453,7770455,11659134,7773018,7773016,10372997,6834730,4288366,2563895,1476440,1476438,1724657,980479,552086,309002,170931,170928,308992,552059,834697,470506,264445,146381,80451,44059,44058,80445,146369,264425,470474,470411,470410,834503,1475852,2562901,2968915,4923128,7769790,11658434,11658642,7775171,4927263,2971881,2563271,2563270,1724548,980410,980409,1724541,2971868,4927238,6834645,4288280,2563835,2563836,4288270,4288249,4288248,4288322,254246753,980384,980385,1724513,2971811,4287443,2563856,2563855,2563122,1475971,834577,470456,470455,834575,1475968,254325489,6833189,10371273,15044204,20953179,28131293,22940123,16704561,11664521,11664522,11664494,7775113,7775112,7777323,10372954,10372919,6834624,4288261,4288260,4288025,4288026,4288253,6834611,4927357,2971953,2971930,1724589,1724591,2971934,2971906,2563786,1476373,1476374,2563790,4288180,4288179,6833439,4287337,4287286,4287285,4287320,6833186,6832637,6832636,10370570,15043381,20952185,20953762,15044766,10371785,10371226,10371227,10372779,10372778,12506990,12506979,12506978,16707399,11666967,7777291,4928970,2973110,2973112,4928935,4928890,2973039,1725304,1725306,2973046,4288019,4288020,4928839,7777138,11664625,10371671,10371672,10371685,6841831,6841832,10371755,6833559,6833562,10370932,10372806,11666717,7777061,4928769,4928770,7777065,10371589,15044612,15046424,10373583,10373582,15045617,20954456,22940150,28109460,20932855,15024814,10352722,6817328,6817329,7775734,4927797,4927796,7775730,11665041,11666309,16706717,11666972,11666971,11666852,7777192,7777185,7777184,11666787,11666788,10373529,6835195,6835196,10373534,10371673,7778729,7778730,10382252,6841842,6833366,4287270,2563169,2563170,4287277,6833383,10371570,6835188,4929002,4929003,7777342,8472766,6835229,4288729,4288730,6835234,6835257,6835256,10373646,11668096,7778155,7778158,11668105,10374117,10374118,7775740,7775720,7775721,9065205,9065204,13281057,16704585,22940132,22943670,16707684,11667153,11667151,16707676,11668858,8473677,8473680,7778790,4929976,2973757,1725745,1725743,2973750,4929965,7778772,11666754,10371523,10371525,11429746,11660284,10373497,6835175,6835176,6835264,6835262,10373657,15046403,10373570,10373569,10373605,15046450,15046499,15046506,20955295,15047188,10374147,6835593,4288922,4288923,6835597,10374157,11665029,16705107,22940687,24036976,31539902 Dl.O(d2) = 9072595,9072598,13289885,18682822,25253690,30334041,22933277,22933276,30334035,38761412,30178215,30178217,38761420,48683153,60079491,70194333,70531009,70530918,57829358,57829357,47995271,38083020,38083022,40573318,39509686,39509685,49440921,49440907,39509678,38928239,30341968,30341969,29716685,22360724,22360723,29716678,38283326,48192689,48736113,38815790,38815788,38283290,38283292,38920555,38921653,30335284,30335285,28133458,28133457,22933416,16698591,11659248,7770606,4923789,267897211,11659253,255506723,30334248,38920703,30342744,22941505,255951281,38928902,48848927,60242531,72978676,72972217,60235167,48840888,38920436,38920434,257575417,72972211,259967620,85907289,72313830,59579182,57829582,48192719,48192720,59579156,64265813,52410411,52410413,64265823,57829560,57829557,70531151,72890974,60155131,48761391,48761392,46473584,39509609,30901832,23467769,23467768,30901827,39509599,49440814,46473517,46473516,52410446,53319793,53319792,52410461,42066583,42066582,52410456,64265877,72972350,72972352,86570378,81753067,68228062,55800403,44870908,44870906,55800395,68228052,78617227,78617229,72313842,59579191,48192748,38283361,29716695,29716694,38283355,48192738,59579177,70531096,70531097,70531195,70531194,61246912,61246911,70531045,60244550,48851314,38931559,38931561,36921225,36921224,36607295,33688734,33688732,40227341,40227340,50247197,50247201,42856919,33815576,33815575,38735756,42856883,47995315,59384611,60235360,48841077,38920574,38920575,48841079,53320332,42857543,42857542,53320324,50068002,40048687,40048688,48841421,38920895,30334478,30334479,38920902,38920907,38920904,48841452,53320175,53320177,53320191,57829595,53319350,42856432,42856431,53319348,59579321,58166417,46799076,36921235,28423067,28423068,36921240,33688737,33688736,42718830,48192600,53319816,42856930,33815570,25998694,25998692,33815562,42856907,42941112,38283562,38283563,33815698,25998782,25998783,33815702,42857114,53319958,46284647,46284645,42856892,33815551,33815082,33815084,42856473,48841408,48841409,48192953,48192954,53319927,42857383,33815971,33815972,42857390,33815976,33815977,33815064,33815063,42856443,48379503,48379502,55460889,44612393,44612392,53320273,59762186,53319746,53319578,53319576,42857154,33815747,33815748,29354002,29354001,37921392,42857903,41698409,41698410,42857039,33815643,25998749,19326809,19326808,25998745,31071550,39749391,49767992,53319740,42856873,33815540,33815539,42856867,53319734,58797535,58797534,60242422,48848778,48848776,60242419,53320296,49768070,42857413,33815985,33815986,42857418,48379531,38477393,29918268,29918266,38477383,48379516,48852287,38932795,38477365,38477364,33816320,25999286,19327159,19327160,22559640,16380941,16380940,22559634,29918132,38477166,33816359,33816362,42857875,42856688,42856680,42856679,53319594,60053528,53251366,53251365,65240662,65319065,65319206,65319627,65319628,78617104,72978642,60242437,48848790,38928736,38928735,48848782,53320303,53320302,65319546,60244520,58675615,58675616,65240652,53314814,42851993,33810847,33810848,33810808,33810807,38477368,29918261,29918263,38477377,33816313,33816314,42857804,42857827,38477148,38477142,29918117,25994324,25994323,33810868,33816357,42856613,33815310,25998418,25998417,33815302,30153859,30153858,38736020,48657057,60053521,72792026,65319099,53319558,42856653,42856654,38928743,30342567,22941342,22941341,28834829,35229728,44610784,55459063,55459062,60244575,48851374,38931671,30345756,29918350,25994305,19322851,13817138,13817137,19322844,25341011,18760961,18760963,25341018,33070748,33070786,25341050,25341049,30342985,25994330,19322868,19322869,18760975,18760974,25341040,19326495,13820239,13820240,14518650,20232723,27140334,30153850,31351735,40031967,50052064,59761704,55466417,48849155,38929092,30342926,22941660,22941658,27135283,27135243,27135242,35229643,35229692,35229693,44610741,38929078,38929077,33815886,33810801,256683071,255698117,13820548,255290923,25998959,33815882,38929150,38929151,269353250,27140327,20232718,20232717,256231483,44617913,55467005,258542365,44610768,35229713,27135290,27135289,27135259,27135261,35229668,30342891,22941626,16705846,11665592,7776153,7776152,11665589,16705839,22941618,30342868,27135214,27135211,35229601,42852025,33810897,25994350,22941739,16705936,11665639,7776182,4928071,4928070,7776178,11665454,7776077,7776076,11665450,9478304,9478305,13820248,12351309,12351308,17515162,22941982,16706141,16706142,22941986,30343214,33815206,25998282,25998281,27135360,20228956,14515948,14515949,19326891,25998880,22944275,16708245,16708242,11667695,7777822,7777824,11667630,16708124,22944159,22944348,30345545,38931509,44610611,48851356,38933274,38933275,38928871,30342709,22941464,16705729,11665526,11665527,16705734,22941263,16705575,11665438,11665441,16705585,11665793,11665796,16706182,22942048,23858253,22941785,16705975,11665662,11665663,16705980,22941795,30343057,25998518,25998517,28951487,37493882,44610802,256995707,30346057,22944648,16708533,16708491,11667753,11667754,16708493,255951587,30347609,22946295,22946297,30347611,38933266,38933280,48852647,48848915,38928885,30342722,30342721,30342737,38928895,42014712,33070693,255507516,38929382,38929383,42857924,42857923,256451658,50386573,256995546,30345486,22944123,16708083,16708082,11667775,7777879,4929329,2973327,1725484,980959,980961,1725491,2973338,4929343,7776220,11665720,11665816,11665815,7778876,7778877,11669064,16706224,22942097,22941429,16705700,16705678,16705676,16705684,13359270,13359269,16706246,11669081,11669083,16705485,15634613,15634567,10819365,10819369,15634580,18760876,13359241,9130031,9130030,12161962,14516505,14516506,20229745,21671495,17257861,16509593,11667445,7777667,7777666,10822273,7152151,7152142,7152140,7777647,4929202,4929203,7777656,11667415,7777717,4929231,4929230,7777712,4930024,4930020,7778859,11669038,16709999,22941143,16705511,11665400,11665401,15939962,15634496,15634495,11665840,7776279,7776278,10819302,7150377,4502876,4502872,7150366,9986694,9986693,14513373,20225334,17282968,17257845,12137930,8167884,5237401,3197073,3197076,5237410,8167898,11667436,10822296,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941127,25091378,22941119,20237833,14522042,10819331,7150340,4502862,2705910,2705909,4112430,2459948,1422089,809087,809086,1422086,2459941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994031, s2 = 10984816, dlinesl.size( ) = 2 s1 = 10994031, s2 = 10984816, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10994031, Dl.E( ) = 16, 2.41e-05 seconds used appending s1 = 11221391, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14020168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12240434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11797533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11797533, s2 = 14294509, int(edited[s2]) = 0 s1 = 11797533, s2 = 14294509, d1 = 0, d2 = 12 Dl.O(d1) = 2263133,2263138,2262904,2262909,254924353 Dl.O(d2) = 42763017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11797533, s2 = 14294509, dlinesl.size( ) = 2 s1 = 11797533, s2 = 14294509, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11797533, Dl.E( ) = 22, 1.1e-05 seconds used appending s1 = 14238034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14238034, s2 = 11218508, int(edited[s2]) = 0 s1 = 14238034, s2 = 11218508, d1 = 62, d2 = 58 Dl.O(d1) = 16623220,11595336,7718812,4885575,4885574,7718811,7718781,4885558,2943917,2943919,4885569,7718804,255499663,30240364,30234935,255894244,268234787,30234933,256986490,22847880,22841486,22841487,256441989 Dl.O(d2) = 107818394,122223986,136188357,149439166,161730602,172888136,172888135,172888134,263779761,205187597,201583646,263593279,177094413,166513755,154807855,261240263,114922135,100871523,86891426,73280253,73280252,86891425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14238034, s2 = 11218508, dlinesl.size( ) = 2 s1 = 14238034, s2 = 11218508, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14238034, Dl.E( ) = 68, 1.79e-05 seconds used appending s1 = 14848174, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10986903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986903, s2 = 11196040, int(edited[s2]) = 0 s1 = 10986903, s2 = 11196040, d1 = 17, d2 = 23 Dl.O(d1) = 254146679,254071285,11920,11923,21287,38651,38706,71447,76480,69747,69746,128728,76498,41573,22925,12749,7024,7025,12751,22930,38788,41437,23018,23019,41713,76682,79480,131683,131684,254112877,1303829 Dl.O(d2) = 6002284,257074931,32313736,24700132,18230262,255621311,32313734,255180510,31393140,31393141,40074651,44580638,40097920,31417928,31417857,31417858,40097831,42166438,41739532,32818710,32818708,32818400,25114716,23200692,16931382,11850017,7920111,7920110,11850013,16931371,23200672,30622509,39219681,49146055,44580767,44580768,47240635,37330797,35202715,27112773,27111904,27111905,32818386,32818385,26150294,26150295,33991763,32991367,32991365,41932055,49973402,39956804,39956805,47433714,55425376,55425375,61598894,61598044,55426911,46774541,36896454,255753016,41932066,32991381,25267462,18695681,18695680,25267460,255336552,13986172,9607983,9607982,13986169,19533312,26250818,34115302,43202333,53714733,46737176,36855102,36855103,34115331,28079958,20907230,20907231,256278205,46409775,37916112,37916113,47837394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986903, s2 = 11196040, dlinesl.size( ) = 26 s1 = 10987041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14020854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020854, s2 = 11001710, int(edited[s2]) = 0 s1 = 14020854, s2 = 11001710, d1 = 1, d2 = 0 Dl.O(d1) = 2281226 Dl.O(d2) = 39724,39721,73039,73403,39724,39721,73039,73403,39724,39720,73384,133827,241868,241865,428510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020854, s2 = 11001710, dlinesl.size( ) = 2 s1 = 14020854, s2 = 11001710, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14020854, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 11001709, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10987491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13319927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13319927, s2 = 7618262, int(edited[s2]) = 0 s1 = 13319927, s2 = 7618262, d1 = 0, d2 = 0 Dl.O(d1) = 771053,1343103,1343101,1352338,2333319,3896339,6224061,9490608,13836454,19346538,26022223,33841935,42885423,269539283,78655523,92718131,107057647,121354675,261487467,148374646,135205545,135205546,148374647,160639772,171829674,181796428,175452626,164695334,261672339,98973096,258698041,58747280,47360434,37454316,28915027,21640688,15608933,15608934,14373975,255054947 Dl.O(d2) = 771053,1343103,1343101,1352338,2333319,3896339,6224061,9490608,13836454,19346538,26022223,33841935,42885423,269539283,78655523,92718131,107057647,121354675,261487467,148374646,135205545,135205546,148374647,160639772,171829674,181796428,175452626,164695334,261672339,98973096,258698041,58747280,47360434,37454316,28915027,21640688,15608933,15608934,14373975,255054947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13319927, s2 = 7618262, dlinesl.size( ) = 2 s1 = 13319927, s2 = 7618262, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 13319927, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14258577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14258577, s2 = 8434624, int(edited[s2]) = 0 s1 = 14258577, s2 = 8434624, d1 = 5, d2 = 2 Dl.O(d1) = 107395692,121780168,135720389,148959238,161264158,149104058,261271452,107581934,107581935,261507663,161391989,167789689,156193832,156193831,156193833,143663383,143663384,156193836,156138946,144426227,131195950,117393051,103264020,103264018,89174311,75426793,62507862,50907505,40790822,32033828,24471356,24471355,32033826,40790820,40790834,50907518,50907522,267974620,254771522,18051143,24471365,32033843,38675813,38675804,30098353,30098354,38675805,48592333,55351515,44505363,44505362,55351513,67691006,65190108,53204862,42755513,33726055,25919378,19257524,19257525,25919380,33726059,42755521,256887706,269790288,72818572,60081205,60081204,72818569,86413693,100369778,86413702,86413701,87796293,74192762,61413900,49935640,39917702,39917703,49935643,61413905,74192773,86218389,72619973,59881567,48490036,48490037,59881569,72619977,72619987,72619988,257475272,48490033,38576852,255425284,16448052,16448053,22636042,30006031,38576860,48490047,59881583,72620003,86218373,72619961,59881558,48490030,48490031,59881560,72619963,72619999,258506756,86218410,72620000,72620001,86218413,100181948,92738480,78675341,65370497,65370498,78675342,92738482,100181947,87809172,74205952,61427451,61427450,74205949,87809165,101781559,115827725,114213926,100181930,86218372,86218371,81633392,68143276,55745373,44837604,44837603,53630191,65678386,78404897,78404896,92440912,93148548,79030713,65678382,65678383,79030714,93148550,100554278,86592511,72994738,60259007,60259008,72994740,86592512,100554277,257244432,74770283,61972976,50480256,40443825,31749277,31749279,40443828,268085224,24238142,17863044,17863045,24238143,31749275,31749281,24238148,17863047,12649785,8588713,8588714,12649786,17863048,13007278,8855552,8855551,13007276,18323987,14608733,10052222,10052221,14608732,254575774,30360249,30360248,38946306,48866002,60259009,48866019,48866020,60259011,48866003,42898615,38946320,30360259,22958965,16723166,11681500,11681499,16723165,22958951,16723155,11681492,11681493,11681494,267937780,254307544,38946303,34129568,34129567,43217256,43217251,43217250,34129560,26263222,26263224,34129562,43217252,43217253,53729101,65785247,79139630,93148571,107556151,121930819,135856469,135856462,135856463,135856465,121930814,107556147,107556146,121930812,121930815,135856467,135856468,135856461,121930806,121930807,107556137,93148561,79030720,79030719,93148559,107556133,107556145,93148566,79030723,79030724,79030721,65678388,53630192,255292860,93148558,107556131,107556150,121930817,135856470,128472378,114586418,100554275,86592504,72994732,60259004,60259003,254668734,100554268,114586411,128472372,141825534,137254880,123524633,109333165,109333166,123524635,137254883,150294861,162430319,173472781,162430315,155161658,142517418,142517419,155161652,142517409,142517408,255729770,115208384,115208378,101130505,87132355,73513640,60764517,49361232,49361233,60764520,73513646,87132368,101130515,87132369,81019429,67549743,55205896,44355264,42146513,33187195,254116176,18845245,20016280,26898205,34977562,267743236,18878255,13453032,10030384,6591999,4129781,4129782,6592000,10030386,9198655,6022570,267736722,4052768 Dl.O(d2) = 42189179,42146541,33187229,25441846,25441847,33187197,25441822,18845250,18845251,25441823,33187196,42146514,42146516,52504639,64378434,60525298,49124220,49124219,60525296,60081226,268745218,86218370,72619958,72619957,258454060,65370501,53366532,42900411,42900410,53366531,65370498,78675344,92738484,107078241,121374893,259712316,107078224,107078225,121374877,114213926,100181930,86218372,86218371,78404898,65122841,53137727,53137728,65122842,60748752,49345787,39416215,30811061,23382516,23382515,254386656,34629791,34629790,30827406,30827405,39431635,49361234,60764521,267944202,64378442,64378439,254682476,54644332,43901157,34628713,26638920,19827017,255260274,34628710,43901154,54644316,268812876,80328944,80328914,66901567,66901568,66901595,80328931,80328932,257886052,80328942,80328941,66901603,54644325,54644324,54644310,256723974,54644291,53828165,43303183,34204910,34204911,43303185,53828169,65895405,79257928,93384510,106906005,113333025,127191627,121172497,260916583,92587278,94365001,108653013,122918103,136750073,131349561,117548901,117548902,113629952,99616037,85667360,85667359,99616036,103419566,89326416,75568497,62629302,51006146,40870945,255224024,48551120,41191355,40635429,40635428,50694578,62214476,62629301,61685738,50202582,40179094,40179093,39092338,30496134,30496135,39092339,49021629,60425343,73172128,270589098,90449554,76592178,63513403,51735752,51735751,63513400,59669685,48282134,38370937,38370936,47636406,59038437,71780502,85369888,259355274,257496222,11025634,11025633,15904153,22004941,29336211,29538553,22195399,16066794,254767703,4674825,267789915,929165,523755,523753,929203,1633954,2816480,4675085,7400456,11157291,11157290,16068313,11157308,7400401,4675038,2816456,2816453,1633934,1633933,2816450,4675031,4595172,2764444,2764445,4595174,7286699,11007190,15083145,10403491,10403492,255374089,255033176,11272001,7482583,7482584,6370464,4674624,4674623,7399759,11156226,10331544,6799689,4264082,2549378,1468588,1468564,1468563,2549310,254484405,4270539,254322415,1465971,254218831,3716423,2225416,1290831,1290830,2225413,3716419,4294761,2567650,2567648,4294754,6844573,6768109,6768108,4258743,2545996,1466765,1466767,2546001,4258752,6792500,4356010,4356011,4277783,4277779,6819151,6816398,6816397,10351678,15023792,267791728,10369112,6831434,6831433,6774577,4246381,2538837,2538836,4246379,6774573,6788207,4255638,4255640,6788208,10318436,11528616,7669188,7669187,11528614,14961626,14961628,12086382,8127787,5207164,5207161,8127776,12086362,17188781,23469279,23012408,16772678,11726992,11726995,16773340,23012363,256441865,32777582,32777583,25292965,25292966,25482511,18880074,13454389,9200957,9104611,8329070,6024038,3768669,3768668,6024036,9200972,13454421,11267240,7479549,254776237,16208409,22361435,29717459,33238380,33238381,38282115,38282113,48191554,50602169,46519561,36652558,36652559,39953185,31278266,23792486,254460984,28701092,21448801,254622170,255211860,48187135,51521631,46519569,36652560,36652561,46519570,57875056,57875061,57875062,48961402,48961401,256180996,36652576,28176824,20995341,20995342,256288215,15081085,15081086,15081081,10402253,10402255,15081083,20995312,28176785,36652541,255800349,20995320,28176793,33191884,33191885,42150492,46519582,36659368,256180998,26371533,19638636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14258577, s2 = 8434624, dlinesl.size( ) = 2 s1 = 14258577, s2 = 8434624, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14258577, Dl.E( ) = 10, 1.31e-05 seconds used appending s1 = 11117805, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117805, s2 = 10988096, int(edited[s2]) = 0 s1 = 11117805, s2 = 10988096, d1 = 4, d2 = 2 Dl.O(d1) = 254318086 Dl.O(d2) = 254153778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117805, s2 = 10988096, dlinesl.size( ) = 2 s1 = 11117805, s2 = 10988096, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11117805, Dl.E( ) = 28, 2.6e-05 seconds used appending s1 = 12240926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12240926, s2 = 10990182, int(edited[s2]) = 0 s1 = 12240926, s2 = 10990182, d1 = 11, d2 = 14 Dl.O(d1) = 73176345,60429454,255515258,39096808,30500813,23087178,16833836,11772128,7859646,4988425,4988426,6429444,6429446,4668027,2812168,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069709,15951175,15160929,10455500,10455499,15160925,255072561,11073761,255447643,11079862,7346999,4640383 Dl.O(d2) = 13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,6409530,4021083,4021085,6409541,9747711,7434933,4698141,4698142,7434939,11205146,16130254,15960822,15960825,14173076,14173077,11206453,11206454,11206641,7435868,7435867,11206636,16132361,16131436,11206002,7435504,4698451,2830766,1642368,933900,526322,294922,294920,526300,933845,1642265,2830592,4698077,7434727,7434730,11204766,11008450,7287513,6740582,6740585,10257717,11138063,16040701,16132198,22274445,16227123,11280576,7488254,4732300,2851263,2851262,2702653,1566054,1566053,2702650,4497841,7143399,10810521,15624339,19850427,14221477,9776910,9776909,14221474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12240926, s2 = 10990182, dlinesl.size( ) = 2 s1 = 12240926, s2 = 10990182, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12240926, Dl.E( ) = 16, 1.1e-05 seconds used appending s1 = 10990711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990711, s2 = 15294662, int(edited[s2]) = 0 s1 = 10990711, s2 = 15294662, d1 = 3, d2 = 1 Dl.O(d1) = 987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906791,3248129,3218564,1885927,1885928,1610316,916210,916211,1610318,1743803,2886820,4789326,5297266,5255207,3212368,3212369,4629212,2788640,1617882,920271,920272,1617890,1091125,1091127,1910734,3253433,5302646,7490089,4733663,4733664,7308653,4612707,2777470,1611282,1611280,2777465,3235371,1897933,1897935,3235378,4968178,3000727,1742606,990131,556917,556914,990123,1742593,3000699,4968134,3258673,3235318,3235317,4628553,2788201,1617621,920141,920142,1617624,2711975,2711976,4513294,7165876,7312727,7312750,5224968,5224970,7318526,7318527,8148742,12117705,16767786,16767787,15610557,15610556,12117551,8148543,8148544,254554447,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327,5306523,8234566,12119705,255126517,254839315,5462518,5462053,3358281,3358280,5462052,7818433,11717130,255510231,12199815,8230775,5302465,5302464,254395343,1905620,1087931,610824,339789,186519,101929,56102,56101,101926,186512,339771,610783,1087852,1905466,3223127,3219460,3219459,3219764,3219766,5264701,3238111,1899693,1895472,1081839,1081843,1895482,3231868,1913289,1092645,1092642,1913278,2854427,1889516,1889514,3223533,3246150,3246152,5260977,5241379,3242128,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1885398,1740254,1740253,1087302,610490,610489,605407,340869,340870,254133823,267745877,339580,610446,1087210,1904405,254395183,4734313,7490793,267984587,4962188,4962189,5244105,3265080,1919092,1919093,3248745,1908129,1908130,3249927,5297802,3248661,3248662,3250566,3250403,3242586,1919204,1919202,3265229,5316042,4962466,2996991,1740546,989073,989072,1740532,2996963,4962418,7820276,8246585,7312362 Dl.O(d2) = 1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248701,4749891,2862633,1661441,945300,533158,533157,945296,1661435,1089417,1089419,1908034,3249811,5298956,5318823,5251613,5251615,5243298,3201941,1874748,1874747,3201938,1912058,1912059,3255132,5304432,4721917,2844922,2844923,4721920,4942220,2982388,2982387,2862640,2862641,1877628,1071170,1071171,601970,335247,335249,601978,1071259,1877774,1617737,1617738,2788391,4619146,4619144,7317108,5301806,3252588,3252587,5301803,5302937,5302936,7822466,11720334,11286282,7492967,4736237,4736238,7492969,7401930,7401931,11159492,12196396,254584471,254265541,1088555,1088556,1906617,3247883,3223119,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941932,1655484,1085354,609494,609493,1085348,1901436,1908252,1908254,1908636,1908637,1908765,1870429,1870431,1740283,988939,556365,311133,172000,94622,94623,172009,311155,556401,989020,1740437,2993267,4957870,5261635,3220894,1920772,1097243,1097240,1920759,1900629,1084907,1084905,1900663,1916026,3195527,1915042,1873110,1873113,3199539,2998199,1741303,1741305,2998211,1894492,1894488,1877861,1079553,1075548,604212,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533179,945359,1071205,601946,335260,184352,184348,335249,601978,1071259,1877774,1617737,1617738,2788391,4628840,4791413,5861920,7577469,7577470,7574588,4790682,4790681,7574585,254227086,4791437,4791436,7575660,8169716,12140245,17260418,17268482,17268481,267993505,5247785,254535790,8177469,12136970,12144408,8228155,254839107,15127654,15127653,11401097,7575664,4791440,2888185,2888183,4791438,7575662,11401094,16381721,22560768,29919723,38479391,48382029,59765390,59765386,59765385,72500351,59765356,59765355,65097548,65097547,65097546,59765413,48382048,48382049,59765415,72451000,86049746,86099641,258395882,74231446,86099635,257191480,59765420,72500410,86099665,100065433,86099629,72500357,72500356,86099627,100065431,100065456,102080519,102080518,114096531,102080511,88093564,74481272,61698171,50215977,50215978,61698174,74481277,270907925,101809933,87836177,74231452,61452269,61452270,74231454,87724860,101698282,259022720,100065441,89784791,76007523,63024425,63024424,74119478,74119477,86099661,86099662,87836184,74231462,74231455,63024436,51343704,41158690,32343947,32343946,37296875,37296874,31149467,31149466,36884769,41158694,39831454,39831453,38261489,29695602,29695601,38261488,48171126,39831503,39831505,49854682,61337427,74119494,61337406,257053181,39831470,31149455,23662612,23662611,31149453,268636505,29695605,31149417,23662567,17345548,17345550,23662571,21169510,21169511,28388133,36884774,31149368,31149369,256001679,23662620,23662616,23662618,22342075,22342074,23662610,255163353,12218899,17345575,23662607,31149448,39831496,49854663,39831485,31149437,31149426,256506107,39831386,31149372,23662537,17345533,12218878,8249088,8249089,12218880,255551335,268675681,49854560,49854683,61337432,74119490,61337415,49854659,49854658,48171137,48171136,39831407,31149388,31149389,39831410,39831477,31149439,31149438,39831406,36812600,36812599,257053175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990711, s2 = 15294662, dlinesl.size( ) = 2 s1 = 10990711, s2 = 15294662, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10990711, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 10990781, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 522059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11799877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11799877, s2 = 5083924, int(edited[s2]) = 0 s1 = 11799877, s2 = 5083924, d1 = 8, d2 = 11 Dl.O(d1) = 3777608,6038325,8817708,7154171,7154170,10824641,15641802,21681111,28963160,37506449,28963162,21681112,21681113,28963158,28963157 Dl.O(d2) = 47414051,58800972,58800971,71118667,58400979,58400980,71118668,84683082,98607985,112603297,126472290,139843896,152557637,164416685,175201188,184772043,193129264,200301380,273978661,211367588,264506610,206972166,201014817,193949689,185704022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11799877, s2 = 5083924, dlinesl.size( ) = 2 s1 = 11799877, s2 = 5083924, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11799877, Dl.E( ) = 12, 8.11e-06 seconds used appending s1 = 14238450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14238452, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14238452, s2 = 11427920, int(edited[s2]) = 0 s1 = 14238452, s2 = 11427920, d1 = 170, d2 = 152 Dl.O(d1) = 7753097,7753084,7527270,4760568,4760566,7527264,11330203,16287501,22455690,21391726,21391727,21449152,28701427,29341084,37910081,47831805,256311598,48274873,38363480,29790953,22425352,16258999,11304094,11304095,16259002,21568892,28840288,29877219,22520412,22520410,16354875,16330046,16330049,16343464,16325413,11358809,7546672,7546675,11358828,12212353,12212352,11974431,8204691,8204690,11377766,11377764,16350451,12157613,12157609,16329509,11360750,8248930,8248933,9108484,7547924,4773608,4773610,7547943,8165100,8166725,254134130,20123269,25300496,25300495,33026302,29852868,22487275,16314667,11375099,11375098,7557048,4778605,4778604,7557042,11375111,12217255,17343721,20127138,14435212,14435209,15156203,10452464,6890265,6890262,10452455,15156185,16562545,12140013,8169484,8169483,12140012,14570828,10026544,6589698,6589699,10026511,7628509,4826482,4826480,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922228,15924436,11372844,11372840,16344783,12152168,12152172,15921940,22022998,29354092,29849209,22483754,17235282,17235281,16736844,11693249,11693250,16736848,15919376,11041692,11041691,15919372,22014362,16319014,11353534,7543662,4771387,4771388,7543664,11353536,10587693,6984347,6984348,10587697,11353484,10587714,6984357,6984356,254846204,7543961,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,12350147,12350152,16318730,16318729,22492023,29844309,38181324,38181325,38181240,254585144,38414652,29844342,29414126,22475548,22475549,17513164,16306826,16306825,22477477,22479522,22479523,29840789,29846782,38416278,44413699,38412695,29840408,22472896,22472897,22973784,21297861,15330413,10588167,10588166,15330408,15919642,21297172,22020637,22020638,22023696,15922691,15922690,22023682,22023683,22023881,15922850,11045701,11045703,12093835,12093834,17198514,23481674,22426380,16259807,16259806,22426376,21295121,21295118,16793214,11742049,7839623,7839624,11742052,16462479,16462478,16793427,23037932,30445532,39034981,46692896,48323704,47298935,38412259,38412260,47340668,58246401,46879297,46879296,38427276,38427275,47339720,37431818,28890077,21613987,21613988,16336828,16336829,15155762,10452195,6890109,4325442,2587777,254135646,844781,1491826,2587788,2588043,4325927,6890958,8478061,5480249,5480247,8478039,12514281,17693450,267999238,10793326,10793325,12283090,8295275,5351436,3288939,3288940,5351441,8295288,12283113,17426993,15601835,10793349,7131003,4489307,2697013,2697012,4489301,7130988,10793323,9005270,5878530,5878532,9005268,13210776,12373475,8361248,8361249,12373477,12294384,9005229,5878505,3670008,3670009,5878508,254852283,10793321,10793322,15601804,21633023,28907120,37446271 Dl.O(d2) = 237117269,237873707,238562654,266453126,274756910,266764342,238976976,238332025,274754479,266053946,265788546,228639963,226848480,224793979,264869024,216406266,264051050,201812570,194873610,186767417,186767416,194873609,263339504,186767417,177459590,166920326,155235002,142597873,129227260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14238452, s2 = 11427920, dlinesl.size( ) = 58 s1 = 10995071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10995071, s2 = 11065838, int(edited[s2]) = 0 s1 = 10995071, s2 = 11065838, d1 = 14, d2 = 17 Dl.O(d1) = 871481,1535540,2654754,4424321,254732573,15408914,21394080,28633169,37147237,257441251,71126576 Dl.O(d2) = 98615393,112610274,98615440,84690841,84690839,98615436,98581354,84658267,71095537,58379081,47008280,47008282,58379089,71095554,59774764,48391639,38488436,29927643,22567337,22567334,29927632,38488420,48391616,59774722,72508767,86107433,89750850,89750851,84690782,269329396,65382803,53378927,53378928,60336891,60336890,73077131,85390313,71802119,71802118,84123112,84123113,91431253,77500136,77500137,74270350,61493686,50015866,269398181,74270349,71947822,59769303,257244248,29923561,29923562,34337398,34337399,43450019,53995508,53995495,43450012,34337393,34337395,43450015,53995502,66086690,60336892,59769304,268442238,53126982,53126981,55262154,67603804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10995071, s2 = 11065838, dlinesl.size( ) = 12 s1 = 11240957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240957, s2 = 10996020, int(edited[s2]) = 0 s1 = 11240957, s2 = 10996020, d1 = 12, d2 = 19 Dl.O(d1) = 268001340 Dl.O(d2) = 37004927,28506581,21287321,15322829,10583310,254089734,2627887,2627892,1517338,860240,860241,1084757,609224,609222,1084751,1900362,3239099,3026734,1760845,1760846,3026738,3024973,3024975,3238710,5005832,3026446,3026444,5005824,4999436,3020934,1755811,999186,562785,562789,562772,562765,562766,562800,999216,1755859,3020988,4999495,7874697,5286316,5002722,3023615,3023616,5002723,5287218,6982110,8216100,5286327,3238425,1899887,1899886,3238423,254350342,1899892,3238410,1899880,254264803,5286302,5004162,3024857,1759153,1001646,1001647,1755497,999309,564522,564523,1002018,1759614,254373313,1758025,254249839,1755909,1755908,1001353,1001354,1757722,1000527,563638,315659,174564,95978,95977,174561,315654,563630,998863,562583,562584,998865,999116,999115,1001476,999429,562968,562969,999431,1003198,565297,316611,175064,175065,316598,316588,175047,96264,96263,175114,316704,175218,175215,254102529,1000096,1623382,923100,923099,1623380,2798522,4645857,5002185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240957, s2 = 10996020, dlinesl.size( ) = 22 s1 = 10351812, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11801421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998563, s2 = 11051294, int(edited[s2]) = 0 s1 = 10998563, s2 = 11051294, d1 = 15, d2 = 11 Dl.O(d1) = 7643398,11492097,255037560,22696837,30077843,38654694,48570628,59962862,71289230,58557254,58557253,71289228,84863594,98791929,112784374,126642476,139997580,152694947,164535965,153766707,141096915,127743217,113869965,99852395,85897671,257135802,48184961,38275551,38275552,37573202,29026427,29026432,32078690,32078691,33043548,41987330,33755472,25947832,25947833,33755473,41936872,32996012,25271744,18699641,13306564,9088065,9088066,13306566,18699639,20866407,255096126,46354732,47970297,38057319,29493488,23029788,254086690,7836735,7836734,11737785,16787240,23029784,254167832,48948579,60345336,73084995,86689103,100661764,88316208,74688762,61895135,50404582,40369201,31674633,24165041,17797262,12597734,8548656,5547063,5547062,8548655,12597733,12588216,254610983,3424038,254415873,8290264,8290263,7896976,5017930,3035786,1932838,1767048,1767044,3035773,2017731,1154304,1154307,2017737,1154347,1154344,1598036,1598035,2009911,2009909,3407136,5328790,5014471,4892709,2948501,2023692,1158107,649756,649753,1158089,1149105,1149108,1935903,2008602,2008603,3405481,3455040,3455041,3293029,3293025,2048214,1174525,659346,365463,365465,659358,1174545,2048247,3454849,3452687,3452671,3452674,5018031,3035863,3035864,3406626,5519903,5359396,3294427,1937562,1937561,1639754,932433,525556,294510,294508,525547,932413,1639712,2826145,2008935,1148683,1148682,2008928,2009113,1148818,644468,357679,195911,106915,106913,195902,357655,644416,644323,357612,195882,195881,357609,644314,1148506,2008677,2059461,1181817,1181818,1768283,1768284,3037435,5019593,5348421,4690294,4690293,5514213,3401229,2005385,2005388,2048095,1174461,1174462,1985887,1985888,3374443,2061863,2061861,3475132,3287000,2030811,2030810,3421737,3390469,2000309,2000310,3393880,5505039,254866503,254276131,1141698,254106887,355526,640465,1141708,1997613,3390164,3439539,3399740,3399742,5014332,3032557,3032556,3035911,1767145,1767146,3035913,4748671,5500979,3390498,1997846,1141858,1141857,1667032,1667030,1935862,1935860,3291781,3451997,2045242,2045243,3452000,5355836,3291812,1935873,1935870,3291800,5355818,3442523,3442521,5556113,5556114,5501728,3454198,3443297,2038384,1168007,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007459,617850,343386,343384,617848,1100832,1926702,2010547,2010546,3399506,3399505,5512140,8513456,8513457,8548663,5547068,3432675,2030024,2030023,3432673,254871141,8548658,12597735,17797263,24165043,31674635,38878721,30292710,22894293,16664524,11631136,7748520,254367073,2554972,1471724,1471723,2554970,2894301,4801951,7591423,7589316,7589315,4897963,4897965,4894178,2949456,2949457,4894180,4898282,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,7616507,4819015,2947495,1709411,1709414,2947505,2952834,1712356,973081,547909,547907,973074,1712341,2952803,4899399,3361526,3361525,5466661,8460635,255188731,24012539,18106042,18106041,24539815,32117429,36982736,28485761,21269206,18957782,13521533,13521532,10564223,6967837,6967567,4377517,4377516,6951732,6942057,4362886,2614620,1509922,1509921,2614618,4362882,267881255,2614661,2614659,3798010,4363085,2614720,1509973,856386,483693,483692,856382,1509965,2614706,4363032,4378523,2622468,2622470,4378532,6969578,6062337,6062338,6945320,10531266,11915061,11245071,11245069,10569322,6971312,4379514,4379513,6971306,10569309,13497583,9234433,6048021,3784637,3784639,6048031,9234447,12052901,12054514,12054511,255537077,25578234,23964976,23964977,31460669,40143888 Dl.O(d2) = 258270361,88049968,102033989,116090320,129998626,143331771,155877509,167496170,158007753,145605870,132359394,118519120,104334987,90182277,76353793,64166996,52315480,41975065,33031901,25305371,18729919,13333543,9110305,5960975,3727739,2231841,254297401,5960974,9110304,13333542,255653833,19879865,17241554,12124433,8155917,5226173,3188116,1865596,1064202,1064203,1865600,3188127,5226155,5776469,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,7160196,4509654,4509653,7160189,10831528,7160040,7160044,7160161,7904845,7904844,5961213,5961214,9110711,13334189,15184087,15184086,19882162,25360816,26703241,23450617,17174075,12668330,12668332,17885280,24263456,30882071,39488014,41976023,52316412,255891534,37377339,258178903,71660597,63043042,51361741,41175544,32359732,24743488,18270530,12966873,12966874,18270535,24743494,28142610,255675508,15458209,10688221,7060799,4445352,2670440,1546733,1546729,2670468,4445404,7060877,6432374,6432371,9783851,14232584,19865425,20203938,20203934,26675823,19858577,14227536,14227533,15648726,16184616,11250132,11250131,12663704,10831605,10831604,15649102,12492333,12492334,16191550,11255220,11255221,16191551,22339539,19336105,19336106,26010259,21577009,17565006,12393673,8375585,5423405,5423403,8404665,12175563,12175564,8376333,8376336,12394752,13523626,12379395,8365147,5399026,5399025,8365142,12065385,8112978,8112977,12065383,17161771,17060309,16650318,16650319,12258558,8278866,8278867,12258560,17395135,12394006,254596101,3323273,3323272,5405555,8279464,9272576,6073858,3800370,3800369,6073851,9272558,13544690,15232902,12403961,12403962,12269905,12269904,17410508,23735205,31219036,39895374,31218434,23734369,17409672,12269267,8285320,5345094,254589341,5342730,5342731,8280920,255167263,23723476,31209705,255127300,10578051,10578052,15315693,21277790,28494950,36992395,46871094,47294304,37385155,37385157,33778756,33778754,42811342,47433623,39296095,30698529,30698530,23282997,17023811,11938813,7990194,5085600,5085598,7990188,10840821,10840819,15659994,21699823,15659836,15659835,21699815,28982163,37526085,28982739,28982740,37526681,39918563,31243017,23758810,23758809,31243012,31263896,31242800,23758668,17431435,17431432,13943498,9570432,254951297,19484390,26193595,254817948,28874891,29586506,29586507,31175871,23687067,17365754,17365753,23687064,31175866,39858444,49881445,61362974,55300880,44456366,35081454,26996540,20105464,20105463,26996539,35081452,44456359,55300873,59704598,49936661,39918767,39918766,42985357,49936410,49936409,59085187,47685334,47685333,257596004,34657875,34657874,42165739,42165738,47917954,38002128,29439046,29439044,38002124,46372160,38313776,29745050,22385817,22385819,22950570,30352290,23587677,23587680,31071187,32955794,31263864,23778557,23778558,28985421,28985419,29745065,38313794,36513413,36513412,46372248,46445886,36580475,28108243,20931714,15023634,10351512,6816214,4275435,2556163,1472335,1472337,2556173,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6821614,4279315,2558544,2558542,4279308,4299339,6851115,10394013,15070828,20983139,255567454,46499280,36632405,36592325,28119323,20942045,15033469,10361059,6824676,4281412,4281413,6824677,10361060,15033472,20942051,28119328,268905679,33313788,33313787,268422594,18446653,18446654,20895555,14991638,14991639,20895556,21977889,15883034,11010145,7288595,7288596,11010148,15883041,21307500,17106687,17106688,18764550,18764547,25345479,33075636,42019682,52358795,64208969,77356654,91276580,105498709,119736998,133610527,146867156,159240488,170577690,180708568,189605791,264051297,203851386,209325312,213815264,217499129,220571755,223184985,225443921,265927217,231994496,274649383,235317158,236231485,237064959,237064962,237064961,237064962,236231487,236231488,236231486,236231485,237064958,266764409,239734126,240272829,240772722,267024945,241235573,267105293,267161462,241664120,241235573,267105293,267205629,243648442,267312013,244575516,267375947,274999180,245036260,244861505,244676141,267316968,244264918,244036121,243790025,243524944,243239461,242934003,242606288,242254191,241873796,241461374,241017216,240537340,240020119,239462609,238859397,238202943,237482263,236688366,235817363,234860617,274585390,265955874,229952658,228345876,226515018,224413636,221994051,265139426,215839058,211803767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998563, s2 = 11051294, dlinesl.size( ) = 8 s1 = 15401123, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11144101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144101, s2 = 10999522, int(edited[s2]) = 0 s1 = 11144101, s2 = 10999522, d1 = 19, d2 = 21 Dl.O(d1) = 490333,557637,557635,991472,254248557,4974097,7836100,255128303,9917966,9917967,14419508,20108804,268549139,55303901,67642617,81108977,95167588,109423998,123618041,137350606,146203088,137350603,260399921,109423996,119686030,119686031,132969141,119133503,260719142,117618522,271393656,86165363,86165362,100131142,87179094,87179095,259262862,258011676,38536801,256283750,16422846,16422847,22605823,24348381,17956454,12724612,8646258,5623509,3493806,3493805,2296834,2296838,3833553,6126824,6097886,6097884,6122053,9346712,268158808,25772475,268757637,47343161,47343162,58731045,71460754,259323389,90538249,76674557,76674558,260831409,145936491,262822271,261933690,130013658 Dl.O(d2) = 104061650,89932187,76126390,63121147,51424399,51424401,63121149,63121139,258348509,89932173,104061633,107602667,260310933,106683187,106683184,101852579,87879424,79086945,79086944,87879438,74277162,61500342,50022140,40003768,31325906,31325905,40003766,50022137,61500340,74277160,87879434,101852587,102053269,116111006,130020786,116111003,102053258,88067833,88062165,88062164,74455757,74455758,88067857,88067837,74455735,74455736,88067839,102053266,102053255,102053254,88067858,74455759,257662817,40164303,40164304,50188573,50181151,50181150,61666359,74450172,88062171,88062172,86649086,258186819,48910921,38989024,30401107,22996870,16757766,11710984,254553715,2991909,1736973,1736975,2991911,4956023,7812954,11710986,16757776,16828499,11768023,7856831,4986692,3012030,3012031,4986695,7174205,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460581,8453055,12482227,17136023,12042644,267903993,3164253,1852267,1057071,594361,594357,254179213,254386805,8095898,12042576,254934327,254451055,2290956,2290955,3823903,254659267,13625302,255303595,13669375,9364573,6134088,3837719,2299163,2299164,3837721,6134092,9364582,13674716,13619255,13619256,9337849,9337848,13624189,13624190,19082792,19073339,13616717,13616716,19073335,20995258,19059682,13606476,13606475,19037051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144101, s2 = 10999522, dlinesl.size( ) = 38 s1 = 11650933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650933, s2 = 11000200, int(edited[s2]) = 0 s1 = 11650933, s2 = 11000200, d1 = 29, d2 = 25 Dl.O(d1) = 205335623,263330912,162108997,162108996,173208930,183059798,263330910,205335621,274654643,236383172,274764811 Dl.O(d2) = 264618282,205335625,273440522,262453798,162108997,271978912,122924489,108660115,258381660,255646910,19815026,19815025,22244980,16108050,254486698,4691292,2826715,2826714,4691290,7423881,11188688,16108037,22244962,20831935,20831936,22673758,16517141,16517142,13942766,9569916,6279780,6279782,9569925,12917842,8787541,5723558,3563382,3563337,3563334,5723445,8787326,12917620,18212401,20353705,20353703,27288551,28070723,35344033,27284018,27284017,27277991,20860644,20860646,20986712,21629404,21629405,21326187,21326189,17245363,17245362,23554071,254296244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650933, s2 = 11000200, dlinesl.size( ) = 20 s1 = 11802697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10941892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10941892, s2 = 7910131, int(edited[s2]) = 0 s1 = 10941892, s2 = 7910131, d1 = 24, d2 = 4 Dl.O(d1) = 260552787,99081862,259952241,126924339,113070426,99081860,85158575,259333639,113070419,99081861,259952241,126924339,113070426,99081860,99081859,113070422 Dl.O(d2) = 8946456,13125812,8946453,8946450,13126394,13126392,18476650,257152477,50967257,46521793,46521794,40873677,257125861,269921017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10941892, s2 = 7910131, dlinesl.size( ) = 12 s1 = 14557737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14557737, s2 = 1388838, int(edited[s2]) = 0 s1 = 14557737, s2 = 1388838, d1 = 11, d2 = 9 Dl.O(d1) = 72703863,257553665,38658664,30081453,30081452,38658662,47098702,58476830,59966708,257993320,72704153,59966901,52383276,52383275,64239364,72716136,68069128,65745907,59967281,55339114,48575770,38659895,38659896,48575717,59967487,59967524,48575766,48575765,48575760,38659886,38658893,30081650,22699939,16496572,11493750,7644604,4836362,2914257,2914258,4836364,7644609,11493758,255488959,30081654,22699944,22699638,22699639,30081299,22699640,22699641,30081303,30082126,22700370,255108247,7644822,7644821,11494047,268232001,11494125,11494124,16497069,22700519,22700272,16496862,11493971,7644771,7644772,11493973,7644973,267979971,16496355,16496356,18253879,18253880,14550376,10011876,10011877,14550378,14549453,10011188 Dl.O(d2) = 14549450,10011196,10011197,11493926,16496804,20278107,256235543,20277952,20277951,14550075,10011654,10011655,14549434,14549433,20277849,27205814,22525599,255698974,18253368,18253369,24726140,27206085,35331395,44759288,50581198,50581197,256082046,30082382,256090834,25520866,18911292,18911293,25212254,25212253,32928217,32199345,32199346,37506029,37141692,28628379,21390110,15405767,10648408,7030853,4422905,4422904,7030849,10648397,15405772,21390121,28628391,37141690,268330262,47030203,47030107,37141687,37141688,47030110,37141760,37141759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14557737, s2 = 1388838, dlinesl.size( ) = 2 s1 = 14557737, s2 = 1388838, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14557737, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14867260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11086419, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14078353, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14026753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14026753, s2 = 13253649, int(edited[s2]) = 0 s1 = 14026753, s2 = 13253649, d1 = 12, d2 = 7 Dl.O(d1) = 8517677,8517675,8146985,5861813,5861814,7509573,10833601,10833600,15651994,15658321,10839441,7165690,7165691,5234477,3194904,3194902,5234472,8164648,12134565,11048698,10797179,10797182,8217605,8217602,7134030,4491486,2698521,2698522,4491491,7134041,10797231,15606519,16085655,11312427,11312430,12193527,12193528,16611737,15606394,10797141 Dl.O(d2) = 1910592,3253239,5289804,5289803,8199911,5270428,3224945,1894598,1894597,2853663,1656014,1656015,1087967,1087966,1905679,1905667,1905666,3246556,5278856,4623886,4623885,4831878,3195180,3195179,3248285,2854292,1656425,1656423,2854283,3248195,3248196,5297359,5318309,5289771,3241320,1903152,1086406,610006,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903472,3232242,3232240,3274818,3274819,5327770,5296232,3247222,3247221,3216206,3211486,1880979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14026753, s2 = 13253649, dlinesl.size( ) = 2 s1 = 14026753, s2 = 13253649, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14026753, Dl.E( ) = 20, 2.19e-05 seconds used appending s1 = 16173539, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11804057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11804057, s2 = 11654218, int(edited[s2]) = 0 s1 = 11804057, s2 = 11654218, d1 = 10, d2 = 9 Dl.O(d1) = 255427625,256897921,37644282,47550028 Dl.O(d2) = 271317055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11804057, s2 = 11654218, dlinesl.size( ) = 8 s1 = 14239006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9062897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9062897, s2 = 6501813, int(edited[s2]) = 0 s1 = 9062897, s2 = 6501813, d1 = 14, d2 = 7 Dl.O(d1) = 254234847,2801464,4650952,254350286,2801463,1625061,1625060,2801461,4650948,7363173,7363170,7363171,7363172,7363173,255074511,255449349,29437582,268631357,11103059,7363181,254235160,1625065,1625066,2801467,254350286,4650951,254764719,7363176,4650950,2801462,1625061,924009,924010,1625063,2801465,4650954,7363179,11103058,255449351,29437583,38000436 Dl.O(d2) = 147977417,134856102,121056415,259701197,259072389,65172859,53187915,256677361,25902675,255286585,267936057,3861882,2313514,2313520,2415581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9062897, s2 = 6501813, dlinesl.size( ) = 2 s1 = 9062897, s2 = 6501813, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 9062897, Dl.E( ) = 16, 1e-05 seconds used appending s1 = 15192992, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7858287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858287, s2 = 14237520, int(edited[s2]) = 0 s1 = 7858287, s2 = 14237520, d1 = 17, d2 = 16 Dl.O(d1) = 14897141,10243438,10243439,14897144,20785028,18871635,13447760,13447759,16036594,11134811,11134812,9196113,6020598,3766385,2256619,1309692,927382,522738,522737,927380,1630794,2811051,4216950,6730523,10243288,14896952,14896959,10243326,9762193,9762192,6730443,4216901,2521198,1452877,822561,822565,1452888,2521222,4216958,4216979,4216978,267816828,1666089,1666088,2870774,267892519,8029151,5118275,3109036,3109037,5118276,5156324,5156325,8042408,5132906,5132905,5172543,5172542,8077698,11976407,8060794,5153068,3136987,1834179 Dl.O(d2) = 8040390,5177010,5177011,5149363,254534553,4755870,254566885,3098553,3098551,5104277,5125995,5105625,5105624,8017127,5170987,5170986,5120116,5120117,8030879,8080635,11979228,11979227,12013886,8071854,8071853,8033048,5122466,3112221,1818676,1038331,254177343,3112217,5122460,3145822,3145823,5159533,3142895,3101337,1828424,1828425,1840209,1865979,1840193,1832367,1045714,1045712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858287, s2 = 14237520, dlinesl.size( ) = 8 s1 = 11008077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008077, s2 = 10791034, int(edited[s2]) = 0 s1 = 11008077, s2 = 10791034, d1 = 12, d2 = 18 Dl.O(d1) = 10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,595458,1058859,1855107,3168459,5192472,3168611,3168610,5192737,254828079,10385466,9266663,6069640,3797626,3797625,5335068,3791439,3791437,6059602,9252281,9940571,9940570,14449179,14449185,10566708,10566709,15302454,15294037,15294038,18972261,13537134,13537135,18972264,21929441,15842656,15842655,21929438,29250041,254271336 Dl.O(d2) = 47737398,37815121,254271336,40081351,31400456,31400455,255568932,17564252,23907944,256020996,71874039,59135993,59135994,50102041,255179042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008077, s2 = 10791034, dlinesl.size( ) = 16 s1 = 14044762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13308631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14061408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10931876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10999945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10999945, s2 = 11011302, int(edited[s2]) = 0 s1 = 10999945, s2 = 11011302, d1 = 30, d2 = 4 Dl.O(d1) = 5864595,5864596,8982981 Dl.O(d2) = 254437244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10999945, s2 = 11011302, dlinesl.size( ) = 14 s1 = 14858838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16275239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10194489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10194489, s2 = 11159400, int(edited[s2]) = 0 s1 = 10194489, s2 = 11159400, d1 = 18, d2 = 42 Dl.O(d1) = 81184599 Dl.O(d2) = 81184593,259793061,260997237,126672046,140025238,152720001,144276387,131038794,117240573,260623320,103124335,259694961,92376052,106679543,103124338,89053456,75324500,75324501,89053458,103124341,260574010,257820749,42633695,256154167,25810165,33608353,42633693,42633707,33608362,25810170,256154169,256598738,39203700,49130505,60530700,257151524,50841023,40735088,32451148,24815489,18325571,13008498,8856432,8856433,8856430,8856431,13008495,18325565,24815478,32451137,41291204,51506009,63216661,76228736,76228737,64580962,64580963,65244016,53254407,42801777,256305596,25961100,33770073,42801782,53254408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10194489, s2 = 11159400, dlinesl.size( ) = 20 s1 = 11007005, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 9714256, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11015841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015841, s2 = 14040022, int(edited[s2]) = 0 s1 = 11015841, s2 = 14040022, d1 = 10, d2 = 8 Dl.O(d1) = 10380264,10380265,15054329,15744679,15744677,21805636,29103837 Dl.O(d2) = 37652799,47557612,58939523,256665874,99148895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11015841, s2 = 14040022, dlinesl.size( ) = 14 s1 = 12245048, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12245068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144965, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144965, s2 = 11083794, int(edited[s2]) = 0 s1 = 11144965, s2 = 11083794, d1 = 23, d2 = 25 Dl.O(d1) = 256355470 Dl.O(d2) = 257484866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144965, s2 = 11083794, dlinesl.size( ) = 20 s1 = 10984007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984007, s2 = 11018718, int(edited[s2]) = 0 s1 = 10984007, s2 = 11018718, d1 = 2, d2 = 5 Dl.O(d1) = 1422726 Dl.O(d2) = 2459943,4112418,6564401,9987676,10266260,254099206,254518046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984007, s2 = 11018718, dlinesl.size( ) = 2 s1 = 10984007, s2 = 11018718, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10984007, Dl.E( ) = 8, 2.81e-05 seconds used appending s1 = 11060427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060427, s2 = 7846559, int(edited[s2]) = 0 s1 = 11060427, s2 = 7846559, d1 = 19, d2 = 20 Dl.O(d1) = 256964481 Dl.O(d2) = 1820446,1039287,1039289,1039166,585284,326969,326967,585297,1039271,1820417,3115076,3127064,5141123,254381125,1812074,1034826,583071,583070,1034823,1812068,3101411,5108150,5145880,5145879,5123461,3112944,3112946,3115120,3115119,254382283,1820249,1039171,585246,585245,585284,326969,326967,585297,254177421,3115066,5118495,5118494,8029418,254567749,1815607,1815606,3107167,5115713,8026596,8052753,8025483,8025481,8077923,8077726,5172587,5172588,3158542,1848844,1848841,3158538,3123027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182595, s2 = 13016299, int(edited[s2]) = 0 s1 = 11182595, s2 = 13016299, d1 = 24, d2 = 34 Dl.O(d1) = 256420876,29980988,22613922,16429443,11444625,7610788,4814987,2901702,1683387,1683386,2901699,4814979,5573792,4025680,4025523,2412325,1396265,1396266,2412330,4025543,6416529,9758759,14195959,17845458,17846636,19666765,19659370,18535292,13170104,8977669,8977668,13170124,14195861,19818007,26629309,34618812,29720159,29720160,38286627,29962611,22598076,22598075,22780805,21203454,15237691,10511552,10511550,15237681,13427590,9180648,6008942,3758368,2251416,2251415,3758367,6008936,9180635,13427564,18846125,16913755,11836996,7910909,5029142,5029140,7910905,7911935,11837078,8087894,8087296,5181580,5181578,8087286,12029527,17118150,255502116,16499581,16499580,17289144,12168152,11342453,7537721,7537720,11342451,16301254,17123085,23394860,22872265,16644195,11612217,11612218,16644198,22872274,254794870,26388145,19653782,19653781,22858955,22656513,16463489,16463488,19455515,13923012,9556497,6270729,3926201,3926200,6270722,9556476,13922978,17836776,24206592,31714273,40406378,50440317,61930753,74724317,88352373,102348488,116441666 Dl.O(d2) = 232999238,234125495,266339328,232999233,232999234,234125490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182595, s2 = 13016299, dlinesl.size( ) = 22 s1 = 14031892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11020457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020457, s2 = 11289948, int(edited[s2]) = 0 s1 = 11020457, s2 = 11289948, d1 = 14, d2 = 37 Dl.O(d1) = 16523181,268412459,257555753,72731052,86328778,100291123,258164664,91206296,269354064,270856020,114328013,100297912,86336072,72738863,60002145,48610847,38695267,38695268,257556511,72738871,86336082 Dl.O(d2) = 48610840,38695262,30118778,22737014,16530190,16530189,256432417,48610819,60002101,258788977,100297824,114327930,123905319,123905318,114327925,100297820,86336005,86336004,100297818,258995000,95567847,81537214,81537215,95567850,109768079,123905323,137586842,141566723,141566574,128210625,260030681,100297821,114327926,128210627,128210629,128210628,141566577,154227310,154227336,154227337,165983687,154227332,261404090,141566575,141566629,261754831,143708554,130382903,130382902,272617897,167828605,165983693,154227341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020457, s2 = 11289948, dlinesl.size( ) = 28 s1 = 13336409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13336409, s2 = 11329542, int(edited[s2]) = 0 s1 = 13336409, s2 = 11329542, d1 = 18, d2 = 17 Dl.O(d1) = 254972999,15627447,15627446,14394050,11591134,11591136,9896988,6504212,4075712,2438627,2438624,4075705,6504196,9886846,14381079,10894172,10503990,6926215,6926213,6496167,4070572,2435772,1408609,801423,801420,1408605,2435765,254469817,6493092,6493091,6505121,254974277,14379606,20061133,20061132,23271285,17823990,12619914,8566509,5562427,254468893,4062759,4538958,4538957,7204514,4874107,4874110,4874081,4874080,7701244,11570057,255496673,16373965 Dl.O(d2) = 257553311,22695997,16493619,16493618,22695996,22329890,16183713,16183712,19039945,19039944,22329867,22329866,269340671,64405761,64405764,271542423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13336409, s2 = 11329542, dlinesl.size( ) = 8 s1 = 13247208, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14184888, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10609485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022719, s2 = 14057114, int(edited[s2]) = 0 s1 = 11022719, s2 = 14057114, d1 = 35, d2 = 54 Dl.O(d1) = 254584549,5297945,5229333,3191024,1867575,1867577,2855428,1657195,942954,531826,531830,942965,1657223,2855487,4737861,7494987,7425008,4691960,4691962,7424999,4691995,2827103,2827104,4692004,6877572,9206581,6027398,3770778,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,2582042,2582005,1487580,1487581,2582008,4317178,6877480,6877803,6877804,10432503,15125107,15121268,15121270,21051702,15122721,10430703,10430702,11288481,16237066,22397677,29758873,36428865,36466274,28007456,20842798,15119026,10428356,6875411,4316065,4316063,6875404,10428338,15118991,14943092,10277648,10277646,6875736,6875735,10428918,15119861,21049815,21049421,15119590,10428738,10428740,10432469,6877762,4317350,4317347,6877749,10428368,10431389,6877112,6877115,10430518,10430517,15122390,15119064,15119062,15121289,15121287,15121376,10429832,6876203,6876204,10429838,15121392,15119413,15119414,10431167,6876977,6876980,10431185,6877850,4317390,4317391,6877862,10431229,15123462,10431206,6876990,6876991,10431215,15123486,21054709,19062811,19062813,25686606,33458541,28249006,21049579,15119705,15119704,15124016,15124017,21055390,21055393,15124022,15121723,15121721,21052301,22566757 Dl.O(d2) = 15667616,17244372,12819202,12819199,18081697,18084383,12820983,8716892,8716888,8716899,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,13615625,9323131,7600504,7600503,8512145,8512144,12127040,255391545,28476763,36974537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022719, s2 = 14057114, dlinesl.size( ) = 14 s1 = 12245878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13265996, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15162069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11810879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11810879, s2 = 9721093, int(edited[s2]) = 0 s1 = 11810879, s2 = 9721093, d1 = 1, d2 = 1 Dl.O(d1) = 212750575,207978507,202191013,195307598,187257882,178012371,167544307,155932580,260137458,130062636,116154510,102097270,88110341,74498601,61717160,50238169,40218018,31532189,24030065,17679503,12502822,8469416,8469415,12502820,254863566,24030064,31532188,40218016,50238168,61717159,74498600,88110340,102097269,102097268,102097267,116154509,130062634,143392529,260734010,178012370,262354920,195307597,202191010,207978506,212750574,214799857,264571680,264415749,199134514,191735086,183129106,173283420,272771371,260976507,108749155,94455999,80396711,258510071,54707478,43963731,34688535,26694080,19874084,14239243,9788505,9788504,14239242,19874083,26694078,34688533,36631856,46498766,57854777,70556218,84092595,97966036,111903143,125720427,139059150,139059149,151761001,139059147,139059148,151761003,163636092,163636090,163636091,174472237,184121199,192572199,199844255 Dl.O(d2) = 212750575,207978507,202191013,195307598,187257882,178012371,167544307,155932580,260137458,130062636,116154510,102097270,88110341,74498601,61717160,50238169,40218018,31532189,24030065,17679503,12502822,8469416,8469415,12502820,254863566,24030064,31532188,40218016,50238168,61717159,74498600,88110340,102097269,102097268,102097267,116154509,130062634,143392529,260734010,178012370,262354920,195307597,202191010,207978506,212750574,214799857,264571680,264415749,199134514,191735086,183129106,173283420,272771371,260976507,108749155,94455999,80396711,258510071,54707478,43963731,34688535,26694080,19874084,14239243,9788505,9788504,14239242,19874083,26694078,34688533,36631856,46498766,57854777,70556218,84092595,97966036,111903143,125720427,139059150,139059149,151761001,139059147,139059148,151761003,163636092,163636090,163636091,174472237,184121199,192572199,199844255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11810879, s2 = 9721093, dlinesl.size( ) = 2 s1 = 11810879, s2 = 9721093, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11810879, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11810981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14185212, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14864958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14864958, s2 = 16183191, int(edited[s2]) = 0 s1 = 14864958, s2 = 16183191, d1 = 6, d2 = 11 Dl.O(d1) = 30160035,30160034,38742841,48664561,60061418,52797454,42397819,257215177,25641943,25641944,19025031,19025030,25641945,33408641,42397813,52797444,43197964,43197965,53709538,65766245,79121985,270004407,42397810,42397811,257196656,32773021,32773022,41689671,52001503,63817042,52001504,52001505,55078405,55078404,64175753,59607857,48221092,48221091,59607856,65766243,59103932,59103931,71842800,79121980,79121979,93238414,107641938,122017079,135945304,149169822,161456648,172633226,182560077,191241158,198714807,205046336,199391451,192035394,183484553,173704018,162692080,150589703,137589160,123907871,258667942,95570296,81539755,68052912,55656183,44748071,35322057,27198413,20271854,14544605 Dl.O(d2) = 4430301,4118703,2463535,2463532,1598638,908884,512656,512657,908890,1598667,2757659,4583510,7268025,9706473,10627335,10980608,10678417,10678419,15445182,15845048,21932314,24571270,24571269,27198412,27198411,24506091,18077529,12816197,12816199,18077534,14110791,9706895,6385113,6385114,7008471,7008472,9766699,6421437,6421436,5976765,3737680,3737681,5619353,8640431,12716628,13365263,13365264,12816207,12771986,8681385,5649039,5649038,8681382,12771981,12815990,18077341,12816017,12816018,18077373,13915515,9550791,9550790,12870688,254626727,5698592,8752773,12716530,12716531,17945988,21367982,21367983,25994499,25994500,28654602,21411526,19183547,13699710,13699709,12850890,8738869,8705865,6515912,4082736,2442864,1412601,1412598,2442848,4082699,3859202,2311950,2311951,3859212,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,18051428,18447510,13364115,13364116,18767742,18752200,13351300,9123562,5970097,3733521,3733520,5970092,9123551,13004964,8853923,5979253,5970468,3733723,3733724,5970445,5970446,9124059,6516370,4083020,4083017,6516363,9915655,11003004,7283702,4593340,2763428,1601909,1601907,2763411,4593291,7283633,10636569,10636570,15390922,10822720,10822719,13364092,13364093,13154098,8965876,8965875,13154096,18513863,25050478,18772045,13367958,9136043,9136044,11001713,15872793,13369658,9137461,9137460,13369656,18770652,13367127,13367128,11002546,7283374,267828089,1602084,1602085,2763801,4594012,7284784,11004476,12750183,11003460,7284038,4593546,4593545,7284035,8966800,5853632,5853631,8966799,255240899,18515398,25052325,256615003,51959491,63774765,76884470,259626881,260807628,132973742,146206699,135642946,258343106,107318218,92913725,78807679,65477511,53457511,42983100,33929437,26096196,19406948,13883939,9526168,6248820,3912048,2342087,2241778,1356673,773606,773603,1344236,767232,436179,436182,767132,1343551,2315874,3866072,6178361,9428755,13759138,19255015,25916960,33723559,42752831,53201812,65186865,78470948,92510602,106822256,121082130,134884278,148004614,160252871,171467348,181480525,190270655,197859218,204326557,209721785,210234507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14864958, s2 = 16183191, dlinesl.size( ) = 2 s1 = 14864958, s2 = 16183191, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14864958, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 14865097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14865097, s2 = 11657611, int(edited[s2]) = 0 s1 = 14865097, s2 = 11657611, d1 = 33, d2 = 14 Dl.O(d1) = 76114663,63109293,51412926,51412925,63109292,76114661,89920555,258347801,63109292,76114662,89920555,270991713,75694301 Dl.O(d2) = 259283482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14865097, s2 = 11657611, dlinesl.size( ) = 18 s1 = 12246628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298315, s2 = 11380262, int(edited[s2]) = 0 s1 = 11298315, s2 = 11380262, d1 = 28, d2 = 14 Dl.O(d1) = 258451842,14586241,10036524,6595744,4132097,2471740,1428727,1428724,2471735,2708591,2708586 Dl.O(d2) = 273213881,260826075,104437375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298315, s2 = 11380262, dlinesl.size( ) = 24 s1 = 14034993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14531455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10692313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194165, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11814067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10660741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11033643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033643, s2 = 14024922, int(edited[s2]) = 0 s1 = 11033643, s2 = 14024922, d1 = 12, d2 = 9 Dl.O(d1) = 21353345,28583139,37087938,41657906,39442987,30838912,254405520,40290730,255183428 Dl.O(d2) = 63781146,60772700,49370800,39442484,39442483,49370797,48666251,48666252,47211942,47211943,268264636,50185550,58003402,46627395,46627394,50202054,49371389,39443156,39443158,49371394,40155819,31471734,31471733,40155817,46629371,58004757,267845592,43860481,34590336,34590335,43860475,54603274,50187609,50187610,50185451,41164696,39340649,39340646,48160682,59547514,52766999,42367509,39442977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033643, s2 = 14024922, dlinesl.size( ) = 14 s1 = 11133381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11034403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034403, s2 = 14363401, int(edited[s2]) = 0 s1 = 11034403, s2 = 14363401, d1 = 0, d2 = 7 Dl.O(d1) = 95114550,81057225,81057226,81057218,257905157,55248020,67589776,81057220,84430383,70873035,58158979,58158980,60227577,48832468,38911346,30324413,22923634,255950257,38911343,47436325,49106921,39176675,30578764,23161602,16900010,16900011,23161605,30578770,39176681,49023242,49106740,39176451,39176452,47440642,37532524,28987726,28987725,28447015,21220862,21220861,28447012,30578279,30578280,39176040,39176782,46824725,48724304,38803540,30219863,22827575,22827528,16606478,16606479,21962558,21962557,29288951,37857679,39177270,30579366,30579365,30579374,39176172,39176082,30578316,23161325,16899860,11826944,7903928,5024253,3041156,3041157,5024260,7903942,11826963,16899886,23161367,30578401,30579470,23162138,255965557,30578895,39176821,47443376,268914355,36946866,46824730,58190777,258080604,49106395,60510419,60119425,48724397,38803592,38803594,38803553,255965481,255965479,39176117,49106453,60510380,49106323,39175995,39175996,49106326,258200251,48724378,38803556,38803555,30579467,30579468,39177373,47441244,47441243,256889848,58190774,58827457,255855060,72856228,60119423,59180510,47781408,37857726,29289014,29289013,37857725,47781406,59180508,58827453,47441248,47441250,58827449,257011177,30578214,23161243,16899800,11826910,7903910,7903908,11826902,16899790,23161213,30578185,39175910,47781418,37857735,29289017,29289018,37533413,37857700,37532501,37532500,37532506,47440620,39175926,39175927,47440391,47441258,58827462,49076880,39147153,39147154,37532278,28987468,21703969,21703970,28987473,29289004,21962600,21962575,21962574,28988576,21704848,21704847,28988568,28988551,28988550,37533319,47441247,37533353,28988598,21704864,15663445,15663443,21704861,28988592,30578194,28988587,28988588,37533343,47441263,49106254,39175916,39175917,47781424,58827037,47440596,37532480,37532481,37532489,37533393,37533392,47441286,58827480,55246712,49274332,39348148,30748475,30748476,30549353,23131181,23131180,21703962,21703963,28987461,37532262,29288984,25325043,25325046,28988664,21704921,21704922,28988557,21704834,15663423,15663424,21704841,21704880,15663456,10843023,7168025,4514566,4514565,7168021,10843014,15036430,20944778,28122103,36595260,28988603,28988604,28988686,21704932,15663494,15662952,10842728,10842730,15662963,21704170,21704906,28988649,35023352,35023347,30748498,23326960,17061003,17061002,23326955,30748490,25567148,25567149,28987490,28987626,21704083,21704082,28122173,28988763,28990457,28988658,23636901,17321269,17321270,21704824,21704825,21704946,15663509,10843053,7168048,4514582,2712658,2712657,4514576,7168043,10364153,15036436,20944782,25755742,33544400,33544410,28988642,21704899,15663475,15662974,10842735,10842736,15662980,21704203,28987753,35023357,26942610,20057193,20057187,15573590,11969158,11969157,17061011,23326973,18956609,18956610,25567162,20944820,15036460,15036462,20944828,23436917,23436918,23636928,17321282,12196358,12196359,17321289,21207198,21207196,21703928,15663467,10843031,7168029,4514570,4514571,7168034,6827405,6827406,10364166,13649339,13649340,19117422,25755737,28954674,28954673,21948029,15858428,15662965,15662966,21704180,21958261,28902184,26942622,20057200,14372238,9878315,9878316,10772757,15573600,18590617,18956612,13520283,13520286,18956630,25567184,20944811,20944809,23436923,17162051,12065633,12065634,17162057,17757749,12565650,12565652,17757753,15498422,15498421,21506643,28766689,37299555,47206164,58596474,71329470,84902639,98829158,271775677,140030525,126677403,126677402,140030524,152725222,140030527,140030526,152725223,164563156,175327550,184880372,193222165,200381896,200381900,263513452,184880374,184880373,193222166,200381894,193222161 Dl.O(d2) = 205165550,205165549,205165552,198860889,263410557,172865720,161707671,161707670,172865719,175380300,175380298,184929281,193269307,273981219,211475176,206476162,200428823,200428824,200428817,193269305,184929280,262730008,175380299,261191472,271341964,98908161,97715510,258619223,57641335,46296791,36443459,36443458,46296790,57641333,47283536,37374077,28834199,28834200,22812542,16594508,11573490,7703627,7703628,11573498,16594534,22812584,30203916,29408643,29408642,30203842,30203840,37428312,28886274,28886277,28907096,28232068,28232067,36725806,38358568,38358567,48268983,38358640,29786985,22422210,22422211,28281515,21076539,15139542,10441818,6883688,6883687,10441812,15139528,19063931,19063928,18841568,16594545,16594546,22812599,24236485,17861677,17861678,24236488,24236454,24236455,31747471,40442027,38463037,38463036,31515739,24014804,17666955,17666954,22549586,28669179,21422534,21422533,28669174,22549596,16373148,16373150,22549602,21633008,21633009,28907102,37446253,29787023,22422222,22422220,29787014,29787028,22422225,22422226,28281527,21076543,16375240,16375238,22551905,29908322,28281466,28281465,36777526,42452669,40441971,40441973,46662904,38465836,29908412,22551958,22551959,29908418,38465826,40442013,40442024,38465817,29908398,29908397,38465811,31515992,31515991,40202632,47086457,37190859,28669189,28669190,28669194,37190865,268425537,23289792,30706002,39303889,49230875,49379771,40202324,40202323,50224618,257612593,30847305,30847307,30847323,39451613,40202241,31515715,24014785,24014786,31515719,31516120,31515704,256486522,40202499,31515893,24014893,24014894,29908311,29908312,38465696,48367165,59749747,72484071,61706334,61706333,258165646,60780950,73528804,86081374,72484083,59749779,59749778,61706495,50225052,40202858,31516194,24015078,17667101,17667100,24015072,31516183,268549918,59550224,61706414,53834750,53834751,65901831,255933548,61706288,256432640,59749835,72284431,72284430,71126581,60780955,49379756,39451588,39451589,40202234,31515685,24014764,24014765,30125695,38702457,40202276,40202290,31515732,31515731,40202286,50224597,50224991,40202770,40202769,48163645,48163644,48613613,48613611,60004441,48613557,38698067,38698068,46920833,46920860,38698148,38698150,47725223,37803701,37803699,37803718,29288069,29288070,37856531,47780121,48870226,38950558,30364313,30364311,38702390,30125642,22743261,22743260,30125639,38702385,48617154,48870233,47725165,37803634,36775721,36775723,46661240,48613567,48613568,48616172,59123385,50224906,50224907,42166315,42166316,52524751,52524762,52524760,47725275,47725273,38698125,38698122,48613617,48613587,48613583,46920838,46920839,38698167,30121256,30121255,37803703,29239853,21921046,21921049,29239864,37803730,47725253,38465740,29908343,29908341,38465731,37803677,29239840,29239839,37803672,40202690,43309919,38465892,38465891,47725182,37803651,29239824,29239822,37803641,30121192,30121191,38698075,34249838,26372748,26372751,33206194,33206224,33206223,33206132,25458668,18859130,18859131,25458674,33206148,33206228,33206226,38698094,30121202,22738978,22738979,30121207,22739017,22739019,30121265,38698175,38698243,48613697,53834715,43309905,34211637,26337915,19609433,19609434,26337922,34211651,43309914,48618204,48618203,47725284,38697791,38697792,34211742,26337979,26337977,34211734,37803724,37803723,38701590,30124757,30124756,26337956,19609454,19609455,25458725,18859166,13436874,9186745,6012649,6012648,9186738,13436861,18859143,25458691,30121234,22738996,16531679,11521673,7664266,7664267,11521676,16531688,22739023,30121270,30121359,38698246,30126425,22743899,16535915,11525284,11525283,16535910,22743892,30126408,38703221,38703556,38697818,30120928,30120908,30120909,38697795,30120946,30120947,30121339,34211760,38698034,30124612,30124613,26338051,26338050,34211697,34211698,34211729,33206210,25458713,18859157,18859156,25458708,33206170,25458685,25458684,33206168,30121227,22738989,22738990,22739006,16531683,16531684,22739012,16531733,16531732,22739102,22744139,30126712,30126417,22743901,16535920,11525287,11525289,16535926,22743908,30126433,30126765,30120934,22738721,16531502,11521575,11521577,16531508,22738728,22739087,30121340,255491658,255110240,19609412,26337874,254243098,22740827,30123392,22744168,16536110,11525415,7667311,4851472,2923610,1695955,964386,964383,1695948,2923597,4851436,7667258,11525321,16535973,22743842,22743843,22739860,22739861,16536043,16536042,22742485,22742484,30124867,30124981,22742579,16534768,16534769,22742584,30123624,22742567,22742550,16534744,11524224,7666196,4850536,4850535,7666192,11524221,16534741,16532828,16532829,22740437,16536246,16536247,16533155,16533157,22740836,16536254,11525503,7667365,4851503,2923626,1695965,964390,543442,543443,964393,1695970,2923632,4851513,7667379,11525530,16536301,22744402,22741103,16533351,11523010,7665266,7665265,11522076,16532274,22739865,30122433,22741093,16533347,16533348,22741095,16534758,11524238,7666208,4850543,2922913,1695512,1695513,2922916,4850549,7666218,11522612,11522613,16532833,22740442,22740855,30123408,38700497,30126860,22744271,16536189,16536190,22744216,16536148,11525434,11522401,7664795,7664797,11522396,7667347,7667348,11525480,16536207,22740281,16532663,16532660,16532278,11522080,7664548,7664549,7665277,11522844,11522843,11522977,7665263,4849897,2922475,1695233,963974,963968,543217,543219,963971,1695223,2922454,4849848,7665017,4849755,4849754,7665014,11522616,16532838,11525467,7667341,7667339,11525462,11522746,11522714,7665084,7665085,7665423,7665421,11522818,7665140,7665141,11522823,16533124,11523536,11523537,11523148,11522938,7665205,7665204,11522932,11522089,7664554,4849388,2922484,254086938,963975,1695236,2922489,4849916,254101146,7664539,11522062,11522950,7665212,4849872,4849873,7665220,7665330,4849935,2922497,1695240,963987,963985,1695261,2922549,4850045,7665273,7665272,11522639,16532862,16532863,22740483,22741038,16535825,16535824,22743766,22741653,22741654,22741448,16533627,11523243,7665433,7665374,7665373,11523163,16533528,11523269,7665444,7665445,7664584,4849411,4849413,7664592,11522138,16532357,16532239,11522054,11522052,16532233,22739828,22740984,16533268,16532948,11522693,7665064,7665063,11522689,11523076,7665467,4850004,4850002,7665460,11523306,16533742,22741579,30122980,22741791,22741787,30124349,38700284,48615753,48616261,38701058,30124096,30124095,38700840,30124303,30124304,30123713,30123712,30122893,22740642,22740641,30123225,30124000,22741466,22739920,22739921,30122489,30122498,22741504,16533681,16533682,22741506,16533747,16533749,22741510,22741511,30124043,30123139,22740553,16532924,11522676,11522674,16532919,22740543,16533707,11523288,11523291,16533710,16533733,22740346,16532709,16532708,22740343,30122987,38700202,48615720,48617026,48616312,48616259,38701053,31706316,31706317,38700987,38700786,38700725,38700724,38700116,38700115,38700055,30122834,30122835,38699691,30122484,30122486,38699696,30124052,30124051,30124037,22743088,22743089,22741585,22741584,30124135,30125466,22743049,16535195,16535193,22740549,22740537,22740536,30123125,30124080,22741540,22741541,30124086,38701043,30124126,30122978,22740337,22740336,30122972,38700183,48615708,60006222,48615604,38700023,38700022,40398207,31706310,31706311,38700793,30123779,30123778,38700069,30122831,22740201,16532566,16532567,22740206,30122843,38700088,33947410,30124026,30124028,38700242,38700979,38700978,38702274,38701087,38701088,48616285,38702242,30125459,30125457,38702232,38699266,30123121,30123119,38700312,38701035,34987402,34987401,38701039,48616255,38701079,38700175,30122967,30122965,38700168,48615693,49135479,48615621,38700034,30122811,30122810,38700028,48615609,48615411,38699835,30122620,30122619,38699830,38700049,30122823,22740197,22740196,30122817,38700042,38699751,30122557,30122556,38699746,44369024,44369025,38700673,38700674,48616023,60006501,60007154,48617038,38702235,38702236,48617030,44365409,34987447,26906963,20023519,14341545,14341543,20023511,26906949,34987420,44365367,37930117,37930119,38701524,47651029,48616225,60006596,71793514,60006232,60006233,48616428,38701333,38701331,42354468,52753803,48615370,48615368,59247077,59247078,60006188,60006187,72741839,71793516,60007112,60007113,72741152,60005234,55220248,55220249,60005303,60005302,72543350,59808265,59808263,72470999,72471001,86069470,86141812,72741296,72741295,86337926,86338330,85382333,73438523,67560007,55216416,55216417,67560012,81029357,85382341,71793533,59052201,59052200,71793530,72742188,72742187,72741860,72741861,71853613,59115794,47718462,47718461,59115790,71853610,72741715,67559979,67559980,81029326,85382331,71793520,59052191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034403, s2 = 14363401, dlinesl.size( ) = 2 s1 = 11034403, s2 = 14363401, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11034403, Dl.E( ) = 8, 1.48e-05 seconds used appending s1 = 14240422, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11815281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15194446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123723, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11816733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11816827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10378014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15383168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14871563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14871563, s2 = 2584475, int(edited[s2]) = 0 s1 = 14871563, s2 = 2584475, d1 = 195, d2 = 197 Dl.O(d1) = 40276813,50297305,256541039,31592464,40276809,256541040,61775468,74559028,61776799,50297303,40276808,31592463,31592462 Dl.O(d2) = 228515097,226705865,224630185,222239834,219455181,216158705,212180266,207309451,201402688,194384261,186193055,176797723,166177791,154442023,141794646,261449886,114556714,114556715,100525959,100525960,114556717,100525962,86564612,72966254,60228758 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16299310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16299310, s2 = 9187957, int(edited[s2]) = 0 s1 = 16299310, s2 = 9187957, d1 = 18, d2 = 21 Dl.O(d1) = 25406458,268491279,28052260,20883402,20883404,28052267,36516785,31748519,31748326,24237248,24237245,19811652,19811651,26621789,26622085,26622084,34610951,36516677,36516678,256553711,24259877,24259878,31772048,40466936,36516682,28052183,20883334,20883333,28052180,26622055,20883363,14980802,10312882,6783529,4252424,2542215,2542216,4252430,6783533,10312890,14980819,20883374,19811669,14190949,14190948,19811666,26621823,34610604,43881728,54624167,63904878,52085548,52085547,63904876,77016464,90896438,105076464,119269480,108654909,94367146,94367145,260656601,114481233,114481232,128357923,260250898,107502382,107509244,121884698,135813347,271022386,100456091,100456088,86732302,73126776,73126775,86732301,91275666,77355795,64208145,64208146,77355796,91275668,91275671,77355798,64208147,64208148,77355800,91275675,105497872,114754301,128653700,126212848,112352915,98370612,98370613,105497858,91275655,77355791,64208143,52357957,52357958,64208144,77355793,91275660,91782688,98370631,98370632,105977062,120177262,126212857,126212866,112352924,98370633,98370634,112352926,105497869,98370616,84461369,70905131,70905130,259905437,112352923,98370647,98370648,112352901,112352900,120177260,126212852,112352907,112352908,98370617,84461372,70905133,58192458,46826592,36948710,28448637,21222139,15252640,10522623,6939649,6939650,10522626,15252644,21222149,28448656,36948747,46826653,58192534,70905180 Dl.O(d2) = 99607224,85657582,72070304,72070305,70905198,70751517,59335787,47943757,38029772,38029771,47943754,59335781,58037203,46664523,36779211,36779212,36779219,36779218,46664537,58037230,70751553,71974865,71974864,84303266,86186091,92457572,87954257,74351968,61575151,50095329,40074474,40074475,34293885,26417638,19681156,268297946,254464191,3926659,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771652,438350,438349,441930,778991,786656,1382814,2388763,3658848,5860893,6159082,3853830,2308942,2308944,3853836,3863327,2314295,2314292,3863324,6174026,9422554,13751262,19245419,268762037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16299310, s2 = 9187957, dlinesl.size( ) = 2 s1 = 16299310, s2 = 9187957, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16299310, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 14113102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15162339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8208328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11014749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11044729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044729, s2 = 11039334, int(edited[s2]) = 0 s1 = 11044729, s2 = 11039334, d1 = 19, d2 = 12 Dl.O(d1) = 256589303,255896781,7423037,268486210,36467623,28008683,22638891,16450032,16450033,22638893,24092413,31595900,40280076,268689936,269885698,259537128,260151312,130139186,258912438 Dl.O(d2) = 707311,1244549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044729, s2 = 11039334, dlinesl.size( ) = 2 s1 = 11044729, s2 = 11039334, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11044729, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 14039204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14245703, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11045877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11045877, s2 = 10693176, int(edited[s2]) = 0 s1 = 11045877, s2 = 10693176, d1 = 35, d2 = 30 Dl.O(d1) = 18561150,18561151,25110829,268735547,268837908,1461897,827463,827462,1461894,2536978,2226741,1291603,737216,419021,419024,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,6799767,6811829,6762779,6762778,7672826,11533318,12338463,15048308,15048307,16552997,11537572,7675781,7675780,11537570,12327131,12327132,255809357,16405833,16405834,268406294,255484829,11458306,255104921,22632856,30002552,38573251,48486462,257547273,38573246,38573247,46510849,57867097,70568959,59878006,59878007,258780113 Dl.O(d2) = 70568939,57867085,46510841,256287529,20988120,15075265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11045877, s2 = 10693176, dlinesl.size( ) = 16 s1 = 11135457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12249390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262849, s2 = 14264901, int(edited[s2]) = 0 s1 = 11262849, s2 = 14264901, d1 = 17, d2 = 27 Dl.O(d1) = 258418189 Dl.O(d2) = 33348024,33348018,25587788,18978934,18978935,25587789,270000546,256138879,256138877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262849, s2 = 14264901, dlinesl.size( ) = 14 s1 = 11048283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048283, s2 = 10743293, int(edited[s2]) = 0 s1 = 11048283, s2 = 10743293, d1 = 0, d2 = 17 Dl.O(d1) = 19156153,13678847,9367372,6135774,3838724,3838706,2299736,1334364,762047,433533,433535,762053,433863,245058,245062,433833,433832,245068,245070,433833,433832,245068,245070,433833,433832,245068,245070,433833,433838,434361,763567,1336771,2301673,269514040,42642599,53092416 Dl.O(d2) = 78357112,271076553,272401715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048283, s2 = 10743293, dlinesl.size( ) = 18 s1 = 12249552, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14186854, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14018183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14018183, s2 = 11049074, int(edited[s2]) = 0 s1 = 14018183, s2 = 11049074, d1 = 16, d2 = 12 Dl.O(d1) = 347519,347520,268112272,254851791,17532099 Dl.O(d2) = 256012402,29351984,29351985,37919597,46845960,36967132,36967131,36935056,28436134,255681054,4358079,2611080,1507408,1507401,1507400,2611076,2625769,4383667,6977433,6932834,4383564,254330329,1505838,1505839,1505883,1508198,1504154,852642,852643,1504158,2606510,2610349,2610378,1506871,1506872,2608457,2608456,4354667,6930900,10510435,12684595,254491482,20042402,17494689,12335260,8333150,8333148,12335255,15255018,15241285,10514208,6933495,6933496,10514210,15241288,16039803,11137414,11137413,16039802,267785558,11185018,10521015,10460096,10460095,15167125,15240037,10525344,10525343,15256210,12335351,12335352,15251947,10522054,10522056,15251951,21221207,23833733,17494836,12335411,8333258,8333256,10577073,6977061,4383347,4383348,6977063,10577078,15314361,12683721,8615226,8615224,12683711,17904247,21529293,21529292,28446643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14018183, s2 = 11049074, dlinesl.size( ) = 20 s1 = 14056286, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14040976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040976, s2 = 14241102, int(edited[s2]) = 0 s1 = 14040976, s2 = 14241102, d1 = 21, d2 = 14 Dl.O(d1) = 34664933,43939062 Dl.O(d2) = 11808196,7887213,7887211,11808195,255518499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040976, s2 = 14241102, dlinesl.size( ) = 2 s1 = 14040976, s2 = 14241102, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14040976, Dl.E( ) = 26, 1.31e-05 seconds used appending s1 = 14241101, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16269477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050631, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11050759, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8416785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8416785, s2 = 8111600, int(edited[s2]) = 0 s1 = 8416785, s2 = 8111600, d1 = 87, d2 = 15 Dl.O(d1) = 256213466,71882788,59144811,47746247,37824230,29259157,29259158,37824231,47746249,55235066,55235065,59068338,59068341,67577344,67577345,81045207,256738810,71413708,71413707,67577389,55234950,55234951,47288621,37379062,28838888,28838887,37379069,47288627,37379074,37379076,40102264,31422104,23931638,23931637,31422102,40102257,50122817 Dl.O(d2) = 55234949,55234951,58679795,58679804,47288626,47288625,58679800,71413662,71413671,84987626,255738976,47288722,47288721,58679932,71413795,84987739,84987659,71413711,256213442,268547140,71413715,81044581,71413688,58679835,47288654,37379090,37379089,47288651,58679830,268825386,257304314,257304312,37824220,37824221,29259155,21938234,21938235,29259158,37824231,47746249,55235066,55235065,59068338,59068341,67577344,67577345,81045207,256738810,71413708,71413707,67577389,55234950,55234951,58679795,58679804,47288626,47288624,58679798,255323326,84987720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8416785, s2 = 8111600, dlinesl.size( ) = 56 s1 = 15408681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15408681, s2 = 12823805, int(edited[s2]) = 0 s1 = 15408681, s2 = 12823805, d1 = 61, d2 = 55 Dl.O(d1) = 268737831,13283012,18675521,18415319,13080331,13080330,18415316,22117251,29450949,24555703,23221069,16948094,16948097,23221062,255474644,32581425,32581424,31348806,23854960,17511908,12348694,12348695,17511905,23854953,23854944,23854945,31348787,31348841,40029055,40862877,50049919,40029906,31349443,23855385,17512168,12348855,8343198,8343197,12348852,17512161,23855376,31349421,31349408,31349407,40029845,40029098,31348875,257069171,53267796,42814812,42814813,39227345,30629509,30629510,39227355,49153687,60552985,49324663,39396506,30793770,30793769,39396497,31348837,31348835,40029042,49153709,39227373,30629530,30629531,37261151,31349435,31349436,40029868,43037390,43037391,40029112,37261132,28729103,21471725,21471726,21471747,21471746,28729144,28729167,30793818,39396577,49153648,39227325,37356462,37356463,40029005,40029007,37356448,30333708,22932948,22932949,30333711,38920031,48840462,60234731,60552974,60552975,67584539,60726866,49324696,49324697,60726868,60507976,60507975,60726842,49324646,49324645,54617205,255969240,257285975,61529453,61529452,71083616,58367486,58367485,60726861,61553005,74329512,72971823,61553006,50074494,40054598,31373361,31373360,40054596,50074492,61553004,65539631,53515576,53515575,43037351,43037352,43874742,34604339,34604320,34604321,30356901,22955274,22955275,25364285,18781399,18781400,25364290,33097896,40060505,31377835,23881112,23881113,31377840,26140471,19443813,19443807,19443808,23877893,26140502,25114608,18564131,18564130,25114603,31373384,31373383,31377858,39396555,49324716,43037403,33980132,33980131,28597799,28597800,29967417,23322872,17057690,17057691,23322876,30743676,39342711,49268329,51997878,41686540,32770159,32770160,39342692,43874738,43874766,43874765,38943042,38943044,40054616,42046039,33097890,26144893,26144892,33984796,40060492,31377819,31377821,26140487,19443820,13913716,9549414,9549413,255296969,26140451,33979808,34080796,26220342,19506312,19506311,26220337,34080790,43034866,33977948,33977947,27182506,27182507,26140781,19444001,13913825,9549486,6265670,6265671,9549490,13913833,19444017,26140812,33980267,42274646,33979962,26140563,19443862,19443863,17512263,12348928,8343253,8343254,12348932,17512267,23855511,31349615,33980164,33979929,33979930,43037180,33980155,26140743,26140745,33980160,28602917,21369349,15389344,10635375,10635374,15389343,21369341,26140545,33979936,255363634,14605056,14605057,20348073,27283447,35408985,42046060,33097900,33097901,30803853,23375926,17106304,17106305,23375930,28060342,20890047,20890048,28060349,36526089,39019314,40030043,31349561,23855481,17512247,12348920,12348923,17512254,23855492,31349578,40030070,37111946,31349592,31349591,40030085,43037469,38595300,30022611,22649688,16458435,16458436,22649691,25419243,25419244,28778103,28778101,37313614,30803849,30803848,255511678,40030034,40030032,50050161,61529609,50870529,256370916,32000460,32000466,32000470,40755520,41740656,41740657,52055203,41740571,32819649,32819650,32819766,25115777,18565087,18565085,25115771,32819639,32819638,25115753,25115754,32819719,41740690,52055331,52055381,52055382,63874279,57868683,46512233,46512234,40812048,36646196,28170697,20989997,20989998,28170701,36646203,37848597,29280813,21955971,21955972,29280821,31376613,25115726,18565061,13192608,13192601,8993519,8993518,12776025,12776026,18025696,24441607,32000476,40755530,50870445,40755432,32000406,24441556,24441557,32000410,40755437,32819729,32819727,36958981,36958979,46837170,48194034,38284791,29718197,22362094,22362092,29718189,38284780,40862074,46512238,36644621,32052013,24486445,18063280,18063281,15076720,15076721,20990006,28170712,29280834,21955981,15864240,15864241,21955988,17534732,13192617,8993527,5871709,5871710,8684366,5651245,5651246,8684370,12776032,18025711,24441632,28156277,28156279,28156275,254345544,42065131,33116279,25381046,255258141,9153480,268294279,27088218,20190155,20190156,27088219,35176247,35176242 Dl.O(d2) = 61776914,61776917,50297397,40276887,31592535,24089224,17731726,12545050,12545048,17731719,20077309,20077311,26961207,35041271,28261553,21059742,15127236,10433683,6878458,6878459,10433687,15127245,21059755,28261573,36756699,37127668,256574386,36755965,255805537,21059295,28260879,36755963,46625464,42490579,33494048,25718069,25718068,21058350,15126336,10433141,10433139,12818051,18079834,21043657,21043659,28242625,36737668,28260616,21059109,15126830,10433419,6878321,4317633,2582258,2582257,4317628,6878313,10433403,13991442,19540089,21059276,28260631,36755722,36752348,28257403,28242223,21188831,15226145,10502800,6925432,6925431,10502794,15226127,12796614,8700143,8700145,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059434,28261115,31698254,36737618,28242567,21043619,15115474,10426145,10426141,15115459,11724862,7827510,7827509,6874040,4315182,4315180,6874031,10426013,15115256,21043238,23464357,17184938,17184936,23464396,30897813,36571308,28261021,28261020,28261427,28261424,25472033,18871719,18871716,25472020,33218725,29310228,29310226,36749627,36749629,33444270,25673730,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,21982325,15886680,15886679,21982322,28242557,21982478,21982426,21982430,29310267,28260894,28260896,29507740,29507741,29339855,28253552,21053029,21053031,28253557,21470774,21470775,23252138,22009791,22009788,23009704,23010340,30414542,25673471,19052162,19052166,25673488,29310201,28261059,21059394,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190415,31054669,39732558,49751049,42437170,33444254,25673706,25673707,33444256,38328649,38328639,38328297,38328294,29758589,29758590,31698871,28257956,21056973,21056971,28257946,36753009,255805380,22556527,22556529,29914040,35171971,27083522,27083521,35171965,38860618,48521875,52453088,42100522,33146538,25406280,25406281,32990551,32990552,36458825,28000231,20835774,20835773,19836552,19836551,16236037,11287834,7494535,4737605,4737607,7494540,11287851,16236062,22396230,26615355,19806737,14187459,14187458,19806731,21072987,15136919,255378717,256295093,256406722,23356272,17088125,17088124,23356271,30780814,39382658,49310417,60712526,73460495,87077703,257406618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15408681, s2 = 12823805, dlinesl.size( ) = 2 s1 = 15408681, s2 = 12823805, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15408681, Dl.E( ) = 70, 1.98e-05 seconds used appending s1 = 11051789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051789, s2 = 11144992, int(edited[s2]) = 0 s1 = 11051789, s2 = 11144992, d1 = 24, d2 = 29 Dl.O(d1) = 20273685,20273683,27200612,35324631,256320776,49128184,39200975,30604527,268241611,11841307,11841308,16919622,23185506,30604531,39200983,49128194,59680023,61489948,50012089,39994271,31317435,31317436,39994274,255913688,19135637,19135636,256151935,42582824,53023124,58434731,58434730,55659030,55659031,55659028,55659027,68055830,64673459,64673458,72913168,86509621,256410704,74114244,87719956,76739028,63647220,59680155,48293075,38382314,38382315,48293079,53023138,42582835,33565695,25776129,25776127,33565689,42582827,53023130,256953000,67542710,55198786,44348211,34970668,34970667 Dl.O(d2) = 72325110,59590714,59553318,48166615,48166613,46954789,37074641,37074642,46954790,58321916,61935520,50444871,50444872,42587568,33570508,25780312,19138953,19138954,25780316,33570514,42587585,42587595,36432934,36423263,27974078,20810500,14914753,10255452,6738835,6738834,10255450,14914749,20810492,256268519,256116848,40410973,40410986,31719334,24212123,17842007,17842009,24212127,31719343,40411004,40410980,40410979,42587604,53027444,65002146,65002145,60868954,52112668,41798472,41798474,50130338,50130339,49465714,39532080,30921385,30921387,28123921,20946324,15037713,10365187,10365188,12897573,8772752,8772753,12897575,18185564,24641859,256584785,257105950,58387177,47016097,47016096,58151979,58151980,53365283,42899137,33854115,26032790,26032791,33854118,26417837,19681339,14109665,14109664,268323723,32527121,32527120,32527119,32527118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051789, s2 = 11144992, dlinesl.size( ) = 12 s1 = 15094780, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15094780, s2 = 10495503, int(edited[s2]) = 0 s1 = 15094780, s2 = 10495503, d1 = 24, d2 = 5 Dl.O(d1) = 28152713,259884135,261065195,151757498 Dl.O(d2) = 187403487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15094780, s2 = 10495503, dlinesl.size( ) = 32 s1 = 11821109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11821157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11037251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037251, s2 = 14331913, int(edited[s2]) = 0 s1 = 11037251, s2 = 14331913, d1 = 11, d2 = 6 Dl.O(d1) = 16194952,11601870,7723244,7723245,8474309,7473326,4723001,2845656,2845657,4723004,7473334,11257531,16194694,22343644,22343643,255014504,38263960,38790313,38263125,38263123,38263270,30636252,30636253,39233968,39233967,255115018,24195103,24195104,31702738,268450626,29487465,29487463,30636574,38263139,29697414,22343764,16194744,15528730,10739884,10739883,15528729,21545991,28814211,37353025,37353056,39485244,47262554,37353060,37353061,30625342,30625333,23202940,268423715,256983428,46433518,46433517,48712260,39385751,39223089,30625309,23202916,23202915,22085563,254765144,7356673,4647117,3370973,3370974,5478014,5478495,5478496,8475389,12510677,11113083,7370567,4656242,4656241,4647078,4647079,7356617,11092678,11092923,11092922,12511300,255579975,31543145,254716412,16195060 Dl.O(d2) = 254775415,256293984,938994,529310,529311,939000,1651056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037251, s2 = 14331913, dlinesl.size( ) = 2 s1 = 11037251, s2 = 14331913, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11037251, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 8289356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14042022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11326435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326435, s2 = 11056048, int(edited[s2]) = 0 s1 = 11326435, s2 = 11056048, d1 = 12, d2 = 8 Dl.O(d1) = 259320782 Dl.O(d2) = 256337692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326435, s2 = 11056048, dlinesl.size( ) = 14 s1 = 11056849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11057137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057137, s2 = 14133608, int(edited[s2]) = 0 s1 = 11057137, s2 = 14133608, d1 = 13, d2 = 21 Dl.O(d1) = 256899787,259339691,113305551 Dl.O(d2) = 175746950,175746949,185259825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057137, s2 = 14133608, dlinesl.size( ) = 24 s1 = 11057377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11057377, s2 = 11355484, int(edited[s2]) = 0 s1 = 11057377, s2 = 11355484, d1 = 19, d2 = 21 Dl.O(d1) = 255060227,4568090 Dl.O(d2) = 2747463,2747462,4568088,7245395,267969815,15803983,21879371,257484431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11057377, s2 = 11355484, dlinesl.size( ) = 30 s1 = 11085177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11085177, s2 = 11057414, int(edited[s2]) = 0 s1 = 11085177, s2 = 11057414, d1 = 5, d2 = 8 Dl.O(d1) = 254753570 Dl.O(d2) = 255508165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11085177, s2 = 11057414, dlinesl.size( ) = 2 s1 = 11085177, s2 = 11057414, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11085177, Dl.E( ) = 18, 1.72e-05 seconds used appending s1 = 13307296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13307296, s2 = 14007167, int(edited[s2]) = 0 s1 = 13307296, s2 = 14007167, d1 = 25, d2 = 3 Dl.O(d1) = 29210727,21896726,21896725,29210723,26678322,19860654,19860655,26678324,34671585,29210668,29210669,23297658,17037551,11951387,11951386,17037550,23297656,30714615,39312585,39312586,39312565,35401599,35401600,38267135,29700983,22346839,16197082,16197083,22346843,29700988,38267142,48176775,59563437,48176813,48176812,59563469,50984988,50984987,59553351,59553349,48166673,38257230,29691780,258132735,85879555,99833073,113848836,127719712,141070404,153736561,165512735,165512736 Dl.O(d2) = 141070393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13307296, s2 = 14007167, dlinesl.size( ) = 30 s1 = 11058039, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1890718, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14043504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1514052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15445502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11823871, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12251484, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11040326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040326, s2 = 1776715, int(edited[s2]) = 0 s1 = 11040326, s2 = 1776715, d1 = 23, d2 = 58 Dl.O(d1) = 48407620,41482198,32603791,24940670,18427455,18427454,24940668 Dl.O(d2) = 46832132,36953951,28453416,21226353,15256081,15256082,21226357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040326, s2 = 1776715, dlinesl.size( ) = 26 s1 = 14880088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14880088, s2 = 15894549, int(edited[s2]) = 0 s1 = 14880088, s2 = 15894549, d1 = 10, d2 = 12 Dl.O(d1) = 23575764,17264342,12143961,8173637,5243127,5243128,8173639,12143965 Dl.O(d2) = 7891284,7891285,7891287,5012157,4741825,4741826,7501510,4741876,2857784,1658576,943733,532293,298585,298584,532289,943730,1658569,2857768,254533069,11298881,16251959,22072787,15967808,11083259,7349478,4642026,4642027,267785800,1762396,1762395,3028878,3029899,1763023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14880088, s2 = 15894549, dlinesl.size( ) = 2 s1 = 14880088, s2 = 15894549, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14880088, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11104677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104677, s2 = 11064462, int(edited[s2]) = 0 s1 = 11104677, s2 = 11064462, d1 = 9, d2 = 6 Dl.O(d1) = 258522503 Dl.O(d2) = 256502222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104677, s2 = 11064462, dlinesl.size( ) = 8 s1 = 16172763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11009559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009559, s2 = 10996788, int(edited[s2]) = 0 s1 = 11009559, s2 = 10996788, d1 = 31, d2 = 26 Dl.O(d1) = 12597011,9297125,6090256,3810542,2282484,1323828,755399 Dl.O(d2) = 254244689,970311,546469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009559, s2 = 10996788, dlinesl.size( ) = 26 s1 = 14880556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11065753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11065753, s2 = 11240850, int(edited[s2]) = 0 s1 = 11065753, s2 = 11240850, d1 = 18, d2 = 23 Dl.O(d1) = 257209109,33325410 Dl.O(d2) = 255267013,25554875,33316865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11065753, s2 = 11240850, dlinesl.size( ) = 26 s1 = 13359771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10616870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10616870, s2 = 11263688, int(edited[s2]) = 0 s1 = 10616870, s2 = 11263688, d1 = 25, d2 = 20 Dl.O(d1) = 10997828,15867630,21960460,16042345,16042344,22164471,23245064,16978549,11891707,11891704,13170032,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,8087692,5181814,5181818,8087710,8216330,5286455,3238503,3238504,5286394,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,12033447,12033445,17123355,17120660,17120659,20796852,19655853,19655852,21520226,21520227,17121194,17121195,19660227,23389875,23389874,30818969,30822298,30822299,33103814,42052956,34295387,26419105,19682659,14111067,14111068,18794257,16750947,11704920,7807763,267741362,1735258,1735259,1281871,1281872,1282211,733110,417208,417205,733146,1282838,1282823,1282820,1282257,1282253,1735816,986653,986654,1735818,2989781,4953018,7809064,11706425,16752674,22991285,30394837,38982287,48903883,60153122,48759194,38839696,30256198,22860910,22860911,25707392,19080464,13622284,9327887,9327886,6110227,6110226,9327962,13622422,19080666,22859696,22859695,22860433,28593562,21361434,15383007,10630608,10630609,15383010,21361439,255401706,22860481,22860480,22169482,16046002,16046005,13622355,13622354,19080569,22860131,16633845,11603113,11603114,15062587,15062588,20972988,16634007,11603210,7724248,4889213,2946298,1708717,971276,547018,547017,971271,1708707,2946281,4889163,7724156,9327846,6110186,6110187,9327872,13622255,11141574,255077269,255890261 Dl.O(d2) = 263367168,171318259,171318258,160090691,147835635,134709088,260309316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10616870, s2 = 11263688, dlinesl.size( ) = 2 s1 = 10616870, s2 = 11263688, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10616870, Dl.E( ) = 28, 1.41e-05 seconds used appending s1 = 12252272, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15320481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10368650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14046171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14046171, s2 = 9821742, int(edited[s2]) = 0 s1 = 14046171, s2 = 9821742, d1 = 10, d2 = 13 Dl.O(d1) = 24756726,32375827,41194829,51385679,63074606,76070566,89865734,89865733,76070527,76070526,89865749,78613197,65314638,53314762,51385623,51385622,63074536,256082154,63074613,268716364,41194818,41194819,51385650,51385267,51385266,41194852 Dl.O(d2) = 51385694,51385696,63074213,51385277,257146286,63074651,63074650,76070599,89865810,103985537,118137661,122200869,107795581,93373303,90094145,76281735,63262557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14046171, s2 = 9821742, dlinesl.size( ) = 2 s1 = 14046171, s2 = 9821742, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14046171, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 14046930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15199252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072147, s2 = 11484162, int(edited[s2]) = 0 s1 = 11072147, s2 = 11484162, d1 = 23, d2 = 17 Dl.O(d1) = 33318409,42299099,257656438,42299099,269510559,105904133 Dl.O(d2) = 271995917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072147, s2 = 11484162, dlinesl.size( ) = 24 s1 = 15195953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11265639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265639, s2 = 11072368, int(edited[s2]) = 0 s1 = 11265639, s2 = 11072368, d1 = 3, d2 = 14 Dl.O(d1) = 93299711 Dl.O(d2) = 258420022,65815978,256656350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265639, s2 = 11072368, dlinesl.size( ) = 20 s1 = 370877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16310701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11073059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073059, s2 = 7049053, int(edited[s2]) = 0 s1 = 11073059, s2 = 7049053, d1 = 38, d2 = 36 Dl.O(d1) = 268152976,9365294,9374888,9300101,6092137,6092133,7420384 Dl.O(d2) = 261830044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073059, s2 = 7049053, dlinesl.size( ) = 28 s1 = 11253455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253455, s2 = 11073540, int(edited[s2]) = 0 s1 = 11253455, s2 = 11073540, d1 = 2, d2 = 4 Dl.O(d1) = 259340454 Dl.O(d2) = 269101558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253455, s2 = 11073540, dlinesl.size( ) = 8 s1 = 11220677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220677, s2 = 11073904, int(edited[s2]) = 0 s1 = 11220677, s2 = 11073904, d1 = 18, d2 = 14 Dl.O(d1) = 259711954 Dl.O(d2) = 257244056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220677, s2 = 11073904, dlinesl.size( ) = 20 s1 = 14098351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11073945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073945, s2 = 10944773, int(edited[s2]) = 0 s1 = 11073945, s2 = 10944773, d1 = 4, d2 = 6 Dl.O(d1) = 26042127,19363484,13850424,9501491,6232086,6232089,9501496,13850431,18741095,18391312,255631509,23384495,17113555,12026280,12026279,17113551,23384486,28664615,26042063,19363438,13850393,9501472,254947239,19363430,26042054,21893483,15815703,15815702,21893481,29206883,37768414,36428877,27970335,255357021,6737496,254995827,255014311,6877153,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,21755054,21052270,15121675,15121672,21052261,24513196,22231831,22231829,21056137,21056139,18083344,16110372,16110369,22247925,18082289,18082290,256064465,20900078,14995690,14995691,20900080,28071577,36428282,36748230,36428028,27969257,24508887,268301821,13608670,13608671,19062647,25686404,33458398,255805570,18084674,12821179,8717037,8716840,8716839,5674214,3529272,3529273,5674209,5674210,8717066,268125059,18084156,18084157,24509840,18084122,12820804,12820805,12818288,12818287,18080217,18083297,12820249,8716472,254886605,18083305,13677378,9366359,9366360,13677381,18080415,12818429,12818427,12820196,12820197,10605027,10605025,15351479,17793040,17793042,24160428,31670042,32371096,24752721,24512897,18083110,13620404,9326508,9326506,13620397,15040113,10367473,6830002,4284988,2561861,2561860,4284981,6829987,4323566,4323564,6886937,10446815,255379651,256296425,46677340,58052053,70770316,84329177,98236378,98236369,98236368,112214709,121385400,107088150,92747829,92747830,107088151,121385401,135235358,135235357,135235356,148400977,160661915,261934185,132639632 Dl.O(d2) = 261489455,121385406,259713153,92747833,260232587,90477857,76619693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073945, s2 = 10944773, dlinesl.size( ) = 14 s1 = 10986213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986213, s2 = 11177748, int(edited[s2]) = 0 s1 = 10986213, s2 = 11177748, d1 = 22, d2 = 34 Dl.O(d1) = 254227940,8674735,12763914 Dl.O(d2) = 142231054,128879152,114976817,100922992,86940655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986213, s2 = 11177748, dlinesl.size( ) = 8 s1 = 14274587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14274587, s2 = 6521864, int(edited[s2]) = 0 s1 = 14274587, s2 = 6521864, d1 = 69, d2 = 45 Dl.O(d1) = 10533535,6946749,6946750,10533542,10533528,10533529,15265970,10572048,10572049,8114050,6950822,6950823,10529830,10539659,10539658,10537955,6949583,4366933,2616595,1510866,856780,484259,484260,857757,1513025,2621160,4375937,6965191,8359042,5395432,3317787,3317786,5395429,8359038,10535718,10535720,15268605,13005949,8854650,5771150,5771151,8854651,13005951,18322461,15304575,15304576,11746566,11746482,9942088,9267175,9252392,6059686,3791498,2271258,1317267,751588,751587,751910,751909,1317885,2272469,3792618,6059201,6059200,6060484,9253653,13522064,15270723,10560222,10560223,15295640,18945858,25558586,21473076,21473075,18947796,13511048,9244723,9244722,13507000,9241562,9241561,13506998,18943514,25556638,33318670,42299381,52686081,64586690,77769618,91697168,260285069,109374794,123565827,261447165,120116403,105904520,105904521,120116405,133958219,147180426,150339174,137297698,123565818,109374779,95121080,258526193,67595766,81063491,259783175,123565807,133958213,120116403,105904520,105904521,120116405,133958219,147180426,150339174,137297698,123565818,123565817,137297696,150339168,137297689,123565809,123565800,109374766,109374767,123565803,260987354,67595770,55254134,44406296,35031194,35031196,44406301,55254138,67595776,81063501,81063526,95121107,81063518,67595787,67595788,81063521,260396039,109374799,95121104,259783183,120116398,105904516,105904517,260880357,123565823,109374782,95121084,270135437,55254134,44406296,35031194,35031196,44406301,55254138,67595776,81063501,67595789,55254150,44406308,35031199,35031198,44406306,55254146,67595782,81063511,95121095 Dl.O(d2) = 255530176,19127314,14051182,14051184,19609213,14055310,14055309,13919133,9553677,9553679,13919141,15502613,10720894,10720896,12472091,17645565,14051099,9661830,9661828,14051092,19609080,26337430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14274587, s2 = 6521864, dlinesl.size( ) = 2 s1 = 14274587, s2 = 6521864, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14274587, Dl.E( ) = 72, 2.5e-05 seconds used appending s1 = 9491061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10985115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242310, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11829317, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14048626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12253994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10343686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10343686, s2 = 13341665, int(edited[s2]) = 0 s1 = 10343686, s2 = 13341665, d1 = 24, d2 = 19 Dl.O(d1) = 257677602,84439743,74455222,61672056,50188162,40163896,36645393,36645392,46512983,49266731,54655138,43912433,34639018 Dl.O(d2) = 4028765,6421905,9767443,10551425,10551423,15285852,21251082,19833949,19833950,15269991,255389659,26647501,268538703,15286537,21229773,15259778,10528302,6943582,6943581,10528301,6974079,6974076,6944285,4364034,2615164,1510158,856463,483725,272180,272179,483722,856456,1510148,2615144,4364000,6944234,10529400,15261174,21230987,28457162,31394581,31394580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10343686, s2 = 13341665, dlinesl.size( ) = 20 s1 = 14242173, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13386516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9167667, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11130975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11130975, s2 = 11081760, int(edited[s2]) = 0 s1 = 11130975, s2 = 11081760, d1 = 9, d2 = 6 Dl.O(d1) = 260277727,99125169,259954723,263120831,264195947,274271058,154264851,261210759,272253928,270376452 Dl.O(d2) = 254544499,1698961,2928922,2957656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11130975, s2 = 11081760, dlinesl.size( ) = 8 s1 = 11082047, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082047, s2 = 11458888, int(edited[s2]) = 0 s1 = 11082047, s2 = 11458888, d1 = 52, d2 = 26 Dl.O(d1) = 255471468,256408280,256950589,59653660 Dl.O(d2) = 215939131,265204031,264853258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082047, s2 = 11458888, dlinesl.size( ) = 48 s1 = 11046449, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11242747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242747, s2 = 11083490, int(edited[s2]) = 0 s1 = 11242747, s2 = 11083490, d1 = 2, d2 = 1 Dl.O(d1) = 98857244,270310414 Dl.O(d2) = 47639268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242747, s2 = 11083490, dlinesl.size( ) = 2 s1 = 11242747, s2 = 11083490, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11242747, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11831567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12254704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12254704, s2 = 14165595, int(edited[s2]) = 0 s1 = 12254704, s2 = 14165595, d1 = 3, d2 = 25 Dl.O(d1) = 59222278 Dl.O(d2) = 76837568,76837569,90708061,76837620,63734122,51924979,51924978,52257680,41919490,41919492,52257683,63734302,51925166,51925165,63734264,51925129,41622551,32716790,25030614,255239813,8957245,8957244,13142332,18498250,25030608,32716781,32716800,25030619,18498255,18498256,25030601,32716769,25030642,25030641,32716839,41622621,51925203,63734334,63734337,63734312,63734310,51925173,51925174,52257642,41919455,32979439,32979440,41919460,52257652,52257690,41919497,268486159,18685526,18685525,25256547,32716795,32716794,41622556,256613455,25030630,25030632,256613457,51925183,51925117,41622540,41622541,41622613,41622614,41622522,32716767,32716765,41622460,41622461,43344848,53869662,51925115,256668476,76837671,64106513,52257709,51925090,51925014,41622438,41622439,51925018,63734162,52257704,41919515,32979476,25256559,25256560,32979479,35086529,44461890,41622394,41622395,51924963,52257692,51925124,41622546,32716786,32716785,41622542,256186700,63734270,51925135,41622558,41622559,51924901,41622510,41622509,41622503,41622502,32716755,25030593,25030592,32716752,41622499,51925074,258370513,71037131,58321497,46954334,37074145,255827829,15368302,12915836,8785833,8785834,12915838,18210361,24675193,32284781,41093799,41093782,41093653,32284666,32284665,41093629,32284651,24675094,24675093,32284649,37074141,41093765,32284751,32284752,41093766,37643867,37643868,46954337,58321500,51271752,41093690,32284691,24675124,18210319,18210321,24675129,32284698,269038915,51271884,51271885,259241506,41660434,32749670,32749671,41093809,41093807,51271848,62945826,62945753,62945752,257669576,41660411,32749653,25058003,256101571,41093623,41093622,51271679,62945679,62945719,51271725,51271726,62945723,51271769,51271771,62945760,62945823,51969783,41662085,32751115,32751116,41662088,51969786,63784861,58931844,51271794,268260254,29094198,21796405,21796406,29094200,37643833,41662156,41662157,51969891,63784977,63783421,58931863,47549719,47549718,51968207,51271806,41093752,32284743,24675159,18210380,18210381,24675217,32284815,41093852,256539086,41660388,51968113,41660473,32749702,25058037,18519816,18519815,25058035,256032904,256032906,51271803,51271804,41660474,32749704,32749703,29094220,21796417,15737086,15737085,21796414,29094215,37643859,47549729,58931873,71653701,62945749,257139231,32284692,32284643,256587407,51271667,41093699,32284696,32284695,41093697,47549733,37643863,29094217,29094218,37643857,47549727,58931871,51271894,41093849,41093850,51271890,62945852,75926363,63783463,51968213,51968211,257380278,48982533,46210649,46210650,57526086,70193254,83714967,97588436,103249475,89159125,75411333,75411334,89159127,103249478,117379407,117379401,117379400,131183177,261006339,123909033,137590095,125348148,261042047,151396004,158951348,170293568,180435842,189352648,192290409,192290410,263788362,194502078,264251995,264588736,273768233,179243194,263676795,202931786,264599281,273698972,168952794,157486219,157486220,168952796,263298601,179243199,168952872,168952871,168952776,157486199,145049075,145049076,157486202,262414301,145049104,131788064,117958531,103810830,89705024,89705025,103810835,117958535,131788068,145049109,157486231,168952808,273419939,168952830,157486257,157486258,157486297,261912286,260206185,89705050,75926335,75926334,259590645,103810856,103810855,98526079,84601283,71037133,71037136,84601289,98526083,112520848,126391269,112520841,98526077,98526076,112520839,261096607,139766648,139766649,152487286,262357358,112520861,98526089,84601293,84601290,98526087,112520858,261096611,132279386,260226627,90140509,90140508,104280700,118451656,132279381,261929029,261896907,144603620,145516223,157916836,272941035,144603471,144603470,145049115,131788071,131788070,145049112,157486235,261648361,139766692,152487348,164354846,175147658,164354820,152487331,152487332,164354823,152487340,152487341,164354836,175147664,167599816,155988776,144603567,131380603,131380602,144603564,157001249,144603617,131380635,117580373,103449946,89354383,75593132,75593131,89354380,103449944,117580368,131380630,144603613,157001407,168448064,178753797,168447904,168447903,178753794,187858192,187858232,178753888,175147645,175147643,262399580,157001195,144603439,131380523,131380522,261896889,262399609,178753948,168448092,168448093,178753959,169339458,169339460,179586542,187858243,178753921,168448031,157001373,157001375,168448034,178753925,184724896,178753907,168448022,168448023,178753910,187858238,187858185,262865065,168447869,178753770,175147670,164354843,164354841,262865083,157001421,157001371,157001372,168448008,262399582,261391599,157916831,164354811,175147653,178753772,168447870,263106342,144603638,144603637,157001429,168448078,177571147,175147667,164354837,164354838,168448098,178753960,172640538,161464393,161464392,164354827,262216606,152261458,144603673,131380687,131380688,144603675,157001475,168448104,171547685,262714124,165474268,157001458,144603666,262399613,178753951,168448088,157001453,144603664,144603665,157001456,262865087,165474270,153695681,141030027,127682423,127682424,260595950,122027189,107652927,107652928,117580397,121172397,121172396,134980660,144603662,131380676,117580398,117580399,122027191,107652930,107652931,122027193,135954491,149178302,144603659,131380672,131380673,131380704,131380703,135954492,259996210,134980665,258130432,95612467,95612466,109815898,123953586,121172401,106905937,106905938,121172403,122027215,112294065,98311535,95612476,81578927,68089245,68089244,81578925,95612472,109815908,112294070,123953591,121172394,259378380,78539607,270557935,106119628,93250278,93250277,259900163,107652965,107652963,122027222,260595946,99844538,85889808,72297027,270323413,259732201,260297313,261458821,120317882,106119648,106119649,106905932,106905933,92587208,91927092,79134969,79134970,93250280,106905931,106905930,107652947,93250255,79134945,79134948,70844698,58130234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12254704, s2 = 14165595, dlinesl.size( ) = 2 s1 = 12254704, s2 = 14165595, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12254704, Dl.E( ) = 26, 1.81e-05 seconds used appending s1 = 14887914, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11146857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146857, s2 = 11084814, int(edited[s2]) = 0 s1 = 11146857, s2 = 11084814, d1 = 20, d2 = 0 Dl.O(d1) = 47932900 Dl.O(d2) = 29457039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146857, s2 = 11084814, dlinesl.size( ) = 62 s1 = 11831957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15162627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14889382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14889382, s2 = 10629941, int(edited[s2]) = 0 s1 = 14889382, s2 = 10629941, d1 = 33, d2 = 34 Dl.O(d1) = 269328660,7698364,4872295,2936032,2936033,2436837 Dl.O(d2) = 7892458,5013147,3031513,1763938,1763937,1763826,1004865,566244,317123,175338,96372,53123,53121,96367,175325,317099,566193,1004768,1763680,3031129,2750581,2750579,4572458,5013077,3031457,3031454,2747216,1592230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14889382, s2 = 10629941, dlinesl.size( ) = 2 s1 = 14889382, s2 = 10629941, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14889382, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 10629940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15378589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15378589, s2 = 4696070, int(edited[s2]) = 0 s1 = 15378589, s2 = 4696070, d1 = 3, d2 = 55 Dl.O(d1) = 30215217 Dl.O(d2) = 114445467,114445468,271588930,121302959,121302960,135152709,135152704,260325948,261486188,164453235,261486182,171796165,160597173,160597172,171796150,160597160,160597159,160597169,171796162,260920904,135152705,121302958,121302960,135152709,148325131,160597183,171796147,171796146,160597155,160597158,171796149,181771674,171796181,160597197,148325140,135152711,135152710,148325137,160597175,160597174,160597155,160597158,171796149,181771674,171796181,160597197,148325140,135152711,135152710,148325137,160597192,171796177,181771674,171796181,160597197,148325140,135152711,121302962,107010585,107010584,121302960,135152709,135152704,260325948,261486188,260920902,148325130,160597180,171796168,171796169,181771685,190515007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15378589, s2 = 4696070, dlinesl.size( ) = 2 s1 = 15378589, s2 = 4696070, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15378589, Dl.E( ) = 64, 2.79e-05 seconds used appending s1 = 14242788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14242788, s2 = 13560866, int(edited[s2]) = 0 s1 = 14242788, s2 = 13560866, d1 = 21, d2 = 100 Dl.O(d1) = 38084560 Dl.O(d2) = 87186408,101183765,112248720,259470599,87186415,101183775,271762976,115081052,270356516,73402516,73402515,258834066,84360705,270282670,112248723,115259844,115259843,115081050,115081049,115259841,101183862,98269090,84360703,84360702,98269087,261078283,139476613,126104674,126104675,260086910,87186523,270881371,87186413,87186412,101183772,112248717,101183786,270361796,258223563,49419910,257616011,258846257,259157398,71423288,84352226,86580605,100541319,114571537,115259872,115259871,126104670,129188557,115259860,114571539,100541320,92466964,78430724,78430723,92466961,84360747,70802173,70802174,258025922,58085298,46713539,268911518,61879032,258285607,87186497,101183828,112248746,101183855,101183854,112248737,98269105,98269104,102083002,88096019,74483736,61700583,61700581,71423265,58690244,47299619,37390525,37390524,47299618,58690242,65148794,53164407,53164409,65148798,257907976,37390556,37390555,47299650,58690276,71423291,256461692,38936545,30350714,30350713,38936544,48855727,58690281,71423301,78430721,84996530,71423279,58690258,47299634,47299635,58690251,47299633,37390531,28850578,28850579,37390533,33684530,25878034,25878033,33684527,42714625,47787293,37862801,30350700,22949008,255124501,254552171,4930770,7779964,11670665,254810362,30350720,22949048,22949047,22949059,29251343,37816569,37390545,28850587,21578741,15555400,10759300,10759301,7779968,4930773,4930771,7779965,11670669,16712222,21995585,15897035,11020411,11020410,15897032,21995580,29325157,37893288,47406402,58793610,71522894,71952082,71952081 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15294992, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15196740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052594, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242954, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11834533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11064443, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16392323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16392323, s2 = 10925060, int(edited[s2]) = 0 s1 = 16392323, s2 = 10925060, d1 = 35, d2 = 31 Dl.O(d1) = 257002332,33235069,42195293,52554152,53457455,42983042,33929383,26096155,19406910,13883891,13883890,16809798,16809796,23056579,30465086,254837320,12176240,8208277,5279434,5279436,8208285,12176259,17297729,15359764,10611776,7002225,7002223,10611761,15359739,21332517,28558388,25550892,23790988,17459422,17459419,23790975,17789940,12591538,8542927,5540649,3425945,3425944,5540647,8542918,12591518 Dl.O(d2) = 59651168,72385679,270844485,72948091,72385677,256969098,86547824,258158886,60208382,60208383,72385676,257549886,85980726,256425964,48811277,48811278,60208370,72948077,65038059,256959348,48811289,269831773,38888820,255478810,16672486,16672485,22903682,30302687,38888817,48811280,60208372,60208384,256416814,30302693,30302682,30302681,268641212,38888813,258182013,258148668,60208362,48811271,48811272,60208364,60208368,269346454,72948087,72948088,86547828,86547827,257539616,60208367,60208366,269816334,100509884,114540119,128423053,271327668,106656197,92351591,78317939,65038066,65038067,258729558,106656199,106656198,258729554,258729552,114540128,258772502,269816332,100509890,114540127,128423057,140709513,147834377,261150186,153391198,259354670,99473952,85527540,71939667,255877508,59196251,47795865,47795864,59196167,71935896,256915364,48670824,268218872,29301317,28993315,21973254,15879407,15879406,21973407,29300545,37870143,257495603,257495601,270314506,71939706,85527575,85527572,71939701,258105412,258105717,257700624,99469920,258311152,85522973,84518456,258311150,60750717,73499632,71934992,59195236,47794894,269332737,58237816,59517214,59899715,72641243,258374258,49347917,39418467,39418466,49347915,60750716,73499631,85522975,85522976,99469492,99795235,259902918,259995715,127349726,127349725,140705569,127349727,113480159,113480160,260727357,260727359,260024535,86243597,72641244,72641245,73499630,87118235,86243609,86243610,100211697,100211698,86243600,86243599,260024539,114246147,259407045,259407043,86243598,260024537,114246146,100211712,86243608,86243607,100211709,114246136,272223399,111697859,259249339,83918370,260469613,129031006,115102395,258781332,260024062,261201712,111697851,271751261,125503578,111697853,97776443,83918365,70392375,70392376,83918367,97776445,111697856,125503580,138835400,261776962,125503582,111697855,111697854,259283088,97756120,105754004,119987943,260654904,101778125,87805673,74202263,61423628,61423629,64431084,52556450,42197309,42197308,52556449,60377419,60377418,73117453,86722879,99415532,85474791,71890598,71890597,67658457,61423630,61423631,73117460,258190838,87715529,270347306,73117455,81125216,73243175,60496394,257010115,39163344,39163354,39163355,49093156,60496408,55318916,55318914,55318915,67658468,67658470,55318917,55318918,55318922,44473008,44473007,44473002,35096304,35096303,42197304,42197302,38363524,29791004,29791003,268338367,20118139,27009882,35096296,42907722,33862259,26040411,26040410,33862258,42907720,53373997,258198945,49093147,39163345,39163346,49093149,60496398,49093153,257052380,23148621,257590847,258198947,258198949,270380376,15855353,10989444,10989445,15855355,21944009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16392323, s2 = 10925060, dlinesl.size( ) = 2 s1 = 16392323, s2 = 10925060, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16392323, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 11097327, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14784657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11099013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099013, s2 = 10860219, int(edited[s2]) = 0 s1 = 11099013, s2 = 10860219, d1 = 16, d2 = 19 Dl.O(d1) = 258386335,259065828,65055481 Dl.O(d2) = 53073029,53073028,53073030,42625491,33600980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099013, s2 = 10860219, dlinesl.size( ) = 6 s1 = 11836751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11836751, s2 = 15701918, int(edited[s2]) = 0 s1 = 11836751, s2 = 15701918, d1 = 5, d2 = 55 Dl.O(d1) = 25373705 Dl.O(d2) = 261978321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11836751, s2 = 15701918, dlinesl.size( ) = 2 s1 = 11836751, s2 = 15701918, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11836751, Dl.E( ) = 88, 2.29e-05 seconds used appending s1 = 11837343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11837343, s2 = 273132, int(edited[s2]) = 0 s1 = 11837343, s2 = 273132, d1 = 0, d2 = 6 Dl.O(d1) = 43377051,37038670,28540017,21316465,21316466,28540021 Dl.O(d2) = 6839398,6839400,10379254,12575013,13925046,13925047,19433344,13905142,13905143,13927009,19460735,17075807,11988860,11988862,13617402,9559071,6272305,3927152,3927151,2351036,2351037,3927173,6272337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11837343, s2 = 273132, dlinesl.size( ) = 2 s1 = 11837343, s2 = 273132, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11837343, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14243348, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12257358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10895242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10895242, s2 = 13377739, int(edited[s2]) = 0 s1 = 10895242, s2 = 13377739, d1 = 14, d2 = 11 Dl.O(d1) = 18986163,13548522,9275225,6075609,3801481,2277029,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6073614,4130389,2470824,2470825,4130398,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104204,9318593,13608895,19062954,13668785,13668786,268150997,9362836,6132847,3836877,3836878,6132753,9362686,13672088,19147489,25792386,25640534,25301297,18726683,13331236,13331235,18726679,13668597,13668596,9362581,9362582,13671961,255686783,33588140,29474859,22138196,16021409,16021410,22137819,22101140,22101141,29433381,29474420,25792902,19147714,19147713,22138264,29474940,38037354,38037355,47950789,49837478,52928053,42517495,42517478,38037261,29474415,255885888,16021107,22137621,22137622,29474223,33470431,25697237,25697238,29474389,22137789,16021091,11123792,268082955,16021141,11123820,7378204,7378205,11123821,16021143,22137868,19147700,16021321,11123921,11123907,11123909,16021305,22138135,29474803,29474835,22138175,22138176,19104940,16020982,11123716,11123717,7378155,7378157,11123736,255450939,22137674,22137673,22137738,19137705,19137708,25778807,33568782,42585631,38037220,29474369,25778218,25778217,28436383,21211703,15244613,15244614,21211707,255817107,21211715,21211714,28436399,36935379,36474390,29474215,22137613,22137612,25778791,25778793,33568765,29474326,29474325,29474814,38037580,42585305,42585061,36935415,28436430,28436429,36935413,36935398,28436409,21211720,21211721,256306635,36935362,28436387,28436386,25777642,19136735,19136738,25777645,19136781,13664551,9357595,6129460,6129461,9357599,13664555,19136788,23850734,25777720,19136783,19136784,19137619,25778723,31344147,26658933,254850268,13664969,9357868,9357869,13664971,13665265,19137183 Dl.O(d2) = 43895254,43895256,256723527,34623595,43895411,54638318,258115753,43895127,34623357,255727937,19822642,26634105,34623359,43895226,54638169,60685761,49284616,42612231,256723513,34623418,43895271,54638222,53059940,42612212,33588251,25792579,25792577,33566868,25777583,19136685,19136369,13664310,13664311,13664481,9357552,254936829,13664336,9357472,9357469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10895242, s2 = 13377739, dlinesl.size( ) = 2 s1 = 10895242, s2 = 13377739, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10895242, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 1383539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14190554, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11106559, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12257868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12257868, s2 = 8001359, int(edited[s2]) = 0 s1 = 12257868, s2 = 8001359, d1 = 53, d2 = 40 Dl.O(d1) = 142173551,142173556,128818863,271283188,39207854,30611651,256468905,30611650 Dl.O(d2) = 34180046,34220633,43318326,53842294,53842295,65908863,57665233,256812864,28009093,268197362,10278837,254997885,17695655,12515867,8479073,8479074,254159906,4444318,4444319,7059252,10686034,14405497,20092425,25856206,19199418,19199417,20317627,27250238,24048836,17695652,12515864,12515862,17695646,16825288,16825290,254480594,26982453,268548531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12257868, s2 = 8001359, dlinesl.size( ) = 14 s1 = 11108395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11108395, s2 = 11512930, int(edited[s2]) = 0 s1 = 11108395, s2 = 11512930, d1 = 35, d2 = 47 Dl.O(d1) = 269303503,84265376,98159089 Dl.O(d2) = 163876145,174693989,264162355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11108395, s2 = 11512930, dlinesl.size( ) = 44 s1 = 14534184, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14534184, s2 = 9020960, int(edited[s2]) = 0 s1 = 14534184, s2 = 9020960, d1 = 13, d2 = 16 Dl.O(d1) = 15856868,21945916,29268155,37834285 Dl.O(d2) = 255378300,254718664,8310799,7085198,7085196,8310760,12304487,17358828,17357368,12237366,8263187,5331202,3276971,1927506,1101312,1101314,1927513,3274049,5326371,3274071,3273989,3273877,3273879,3278023,1928096,1101620,1101623,618301,618300,1101641,1928138,3278098,5333019,5333901,5333902,8266825,12228587,12228586,8267820,5334662,5334663,8267822,8269340,5335847,5333692,5333691,5366859,5366857,8317103,12313203,12244955,12244956,12244972,12299662,17448656,12546410,255193239,23739168,31222626,255310210,22310915,16164299,11231405,7452810,7452811,11231407,12566593,8521641,5520296,5520295,8521640,8581120,5575470,5575472,8538829,12274192,8289030,8289028,7799241,7799244,5597563,5597564,7896326,5597582,5597581,8534406,12581443,12539204,8500467,5502154,5502155,8500470,12535235,8497031,8497030,8495305,8495304,12533660,12605934,8555134,5552331,3437003,2033208,2033209,2033141,2033139,3387856,5498124,268109584,5552238,8555066,12531937,8608826,5594395,3470895,2058394,1181064,663372,663375,1181076,663382,663379,1181086,2058425,2046262,2041568,1173320,1173321,2029061,2025094,1159039,656723,364071,199157,108477,108478,199160,195500,195504,356836,642898,1134531,1134530,1397923,1397922,2414979,2005305,2005304,3401136,2009798,1149228,1149229,2009802,1158244,1158243,2023891,2050273,1175832,1175835,1767132,1007298,1007299,1158267,1146486,643139,643141,1146494,1154219,2010168,1149458,644825,357865,357861,644861,1149549,2010300,3407637,254446049,5537101,3422626,2021733,2021732,2049133,3456695,5517061,254608393,5558010,8560891,8524013,8524014,12569730,8572958,8572959,8482847,8482846,8543617,9770043,6423758,6423756,6423757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14534184, s2 = 9020960, dlinesl.size( ) = 16 s1 = 12258230, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15197517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11840619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15435937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111231, s2 = 10670899, int(edited[s2]) = 0 s1 = 11111231, s2 = 10670899, d1 = 18, d2 = 6 Dl.O(d1) = 256848694,71320245 Dl.O(d2) = 84894136,257521174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111231, s2 = 10670899, dlinesl.size( ) = 28 s1 = 9187591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9187591, s2 = 16275925, int(edited[s2]) = 0 s1 = 9187591, s2 = 16275925, d1 = 0, d2 = 0 Dl.O(d1) = 19156310,25802808,29276569,29276568,33599800,25802778,25802779,29276471,21952714,15861953,15861952,21952711,29276469,29276494,255439251,15861963,21952705,29276458,37843327,47766003,42396818,33407742,33407741,256916477,256916479,59216593,47818050,37896015,37896017,37896275,47818307,256916499,37896383,256968629,38600378,37896447,37896446,42120847,42120846,47818452,37896442,37896443,46789990,40114648,40114649,47818134,55307573,256437610,27002247,27002249,35087114,44462483,49379888,49379889,49379898,59216817,58139693,58139694,70854152,257225428,50134556,46771838,36893552,28396163,28396161,23823813,23823815,25033724,25033723,31312572,255020348,25293003,23200991,23200992,30622946,39220226,36898685,32720240,25033577,18500505,15216484,15216482,21176226,23883164,31380184,32720164,27956634,27956632,23945074,17600072,17600071,23823797,17486996,17486998,22733499,16527743,16527742,22733495,30114116,38689986,31312558,23823623,17600082,17486903,12329591,8329104,5375631,3305539,1944682,1944684,3305548,5375606,8329055,12329513,11267488,11267489,16208854,22361973,23824442,18879199,16527665,11519034,11519031,16527658,22733386,17102145,12423009,12423008,17600320,17536731,17536728,23883136,19165159,19165161,25814134,32975256,25252509,22733477,16527729,16527730,22733480,30114101,35244527,31312675,30113934,30113936,33234995,25486042,18882959,18882960,23823613,22733491,16527739,11519078,11519077,12329566,8329121,8329120,12329617,17486946,17247209,17247210,17247193,17247195,12368737,8357753,8357752,12368734,17536720,23883121,30113946,30113945,30114310,30114309,30797416,31436287,38689893,38689894,48605431,39989190,31312584,31312585,31435935,38690128,30114280,22733642,16527850,268232565,22733652,30114290,30113942,22733340,16527622,16527621,19160134,19160133,19697767,15863908,15863907,21955541,29280276,31312683,23823732,255385366,30114277,268646761,37595462,30114049,30114050,38689943,40062979,40062980,37844305,37844306,47766962,43416162,43416164,47499532,40062961,31380126,23883096,23883097,31380128,30116658,22735418,16529087,15863912,15863913,21955553,21955536,21955535,29280268,34635431,37595639,30113948,30113949,37595579,37595580,47499620,38689839,38689840,47499653,46893477,37014173,37014172,46893475,37014182,37014181,46893487,37595498,29047791,21754378,21754377,29047785,37595493,37844314,29277339,21953360,21953359,21754422,21754423,29047861,21955576,21955575,29280318,31660388,37595611,29047889,21754461,21754462,256353381,29047815,21754396,21754395,16527692,12703760,12703761,17929280,24315171,22733323,22733322,30113917,38689796,47326002,38004558,29441659,29277018,21953124,21953125,29277020,29501025,29501031,29277034,255439287,15862233,15862211,15862210,21953103,15863405,15863404,15862382,15862381,10995038,10995036,15863426,15863653,15863448,10995057,10995055,15862387,15862386,21953368,16040576,11137977,7387723,4667230,4667231,7387727,11137982,16040583,21953073,15862738,15862737,15862743,21953042,21953365,29277345,37844317,47766969,59165743,71903896,85488958,99430577,109505655,95251262,95251263,109505659,109505662,95251265,95251264,109505660,260252702,123697532,109505651,109505652,109505653,95251261,81194966,67729422,55388868,44541594,35164044,35164045,44541596,255875694,53812773,65880768,71767319,59023625,47620107,37696816,37696817,47620109,59023630,71767317,258713853,84381501,70823565,58108211,46738059,36856344,36856343,36856348,257418009,58108214,270283327,84381502,98290416,112272075,126131042,139505710,152236764,164123681,174945003,166553458,154849498,142213749,128855696,114955202,100902600,86922192,74540976,61757191,61757190,74540975,259525241,116207448,130118567,143450263,142841881,129524859,258439434,87632796,87632795,101599682,115639882,129524856,142841880,155422951,167062857,167225214,155593628,143043623,129713053,115814416,259497755,74193065,61414240,269333551,37914377,47835705,59232896,71970464,75374446,62459846,62459845,269047942,59203765,59203764,71942907,62459848,50864424,40750782,31996936,24438877,24438876,31996935,39510054,39510053,49441352,255420286,73466561,60718561,60718562,255545726,256499310,111894153,258041224,70545368,57843340,46487103,36620553,28146665,254729078,15058497,20968265,28146663,36620552,46487101,57843339,70545366,84082516,97956442,111894152,125711773,139050752,261091946,174464589,184113732,192565135,263490662,205985653,205985654,211067914,215221540,218642839,215221539,215221540,218642840,221522346,264463140,205985653,205985654,211067914,215221540,218642839 Dl.O(d2) = 19156310,25802808,29276569,29276568,33599800,25802778,25802779,29276471,21952714,15861953,15861952,21952711,29276469,29276494,255439251,15861963,21952705,29276458,37843327,47766003,42396818,33407742,33407741,256916477,256916479,59216593,47818050,37896015,37896017,37896275,47818307,256916499,37896383,256968629,38600378,37896447,37896446,42120847,42120846,47818452,37896442,37896443,46789990,40114648,40114649,47818134,55307573,256437610,27002247,27002249,35087114,44462483,49379888,49379889,49379898,59216817,58139693,58139694,70854152,257225428,50134556,46771838,36893552,28396163,28396161,23823813,23823815,25033724,25033723,31312572,255020348,25293003,23200991,23200992,30622946,39220226,36898685,32720240,25033577,18500505,15216484,15216482,21176226,23883164,31380184,32720164,27956634,27956632,23945074,17600072,17600071,23823797,17486996,17486998,22733499,16527743,16527742,22733495,30114116,38689986,31312558,23823623,17600082,17486903,12329591,8329104,5375631,3305539,1944682,1944684,3305548,5375606,8329055,12329513,11267488,11267489,16208854,22361973,23824442,18879199,16527665,11519034,11519031,16527658,22733386,17102145,12423009,12423008,17600320,17536731,17536728,23883136,19165159,19165161,25814134,32975256,25252509,22733477,16527729,16527730,22733480,30114101,35244527,31312675,30113934,30113936,33234995,25486042,18882959,18882960,23823613,22733491,16527739,11519078,11519077,12329566,8329121,8329120,12329617,17486946,17247209,17247210,17247193,17247195,12368737,8357753,8357752,12368734,17536720,23883121,30113946,30113945,30114310,30114309,30797416,31436287,38689893,38689894,48605431,39989190,31312584,31312585,31435935,38690128,30114280,22733642,16527850,268232565,22733652,30114290,30113942,22733340,16527622,16527621,19160134,19160133,19697767,15863908,15863907,21955541,29280276,31312683,23823732,255385366,30114277,268646761,37595462,30114049,30114050,38689943,40062979,40062980,37844305,37844306,47766962,43416162,43416164,47499532,40062961,31380126,23883096,23883097,31380128,30116658,22735418,16529087,15863912,15863913,21955553,21955536,21955535,29280268,34635431,37595639,30113948,30113949,37595579,37595580,47499620,38689839,38689840,47499653,46893477,37014173,37014172,46893475,37014182,37014181,46893487,37595498,29047791,21754378,21754377,29047785,37595493,37844314,29277339,21953360,21953359,21754422,21754423,29047861,21955576,21955575,29280318,31660388,37595611,29047889,21754461,21754462,256353381,29047815,21754396,21754395,16527692,12703760,12703761,17929280,24315171,22733323,22733322,30113917,38689796,47326002,38004558,29441659,29277018,21953124,21953125,29277020,29501025,29501031,29277034,255439287,15862233,15862211,15862210,21953103,15863405,15863404,15862382,15862381,10995038,10995036,15863426,15863653,15863448,10995057,10995055,15862387,15862386,21953368,16040576,11137977,7387723,4667230,4667231,7387727,11137982,16040583,21953073,15862738,15862737,15862743,21953042,21953365,29277345,37844317,47766969,59165743,71903896,85488958,99430577,109505655,95251262,95251263,109505659,109505662,95251265,95251264,109505660,260252702,123697532,109505651,109505652,109505653,95251261,81194966,67729422,55388868,44541594,35164044,35164045,44541596,255875694,53812773,65880768,71767319,59023625,47620107,37696816,37696817,47620109,59023630,71767317,258713853,84381501,70823565,58108211,46738059,36856344,36856343,36856348,257418009,58108214,270283327,84381502,98290416,112272075,126131042,139505710,152236764,164123681,174945003,166553458,154849498,142213749,128855696,114955202,100902600,86922192,74540976,61757191,61757190,74540975,259525241,116207448,130118567,143450263,142841881,129524859,258439434,87632796,87632795,101599682,115639882,129524856,142841880,155422951,167062857,167225214,155593628,143043623,129713053,115814416,259497755,74193065,61414240,269333551,37914377,47835705,59232896,71970464,75374446,62459846,62459845,269047942,59203765,59203764,71942907,62459848,50864424,40750782,31996936,24438877,24438876,31996935,39510054,39510053,49441352,255420286,73466561,60718561,60718562,255545726,256499310,111894153,258041224,70545368,57843340,46487103,36620553,28146665,254729078,15058497,20968265,28146663,36620552,46487101,57843339,70545366,84082516,97956442,111894152,125711773,139050752,261091946,174464589,184113732,192565135,263490662,205985653,205985654,211067914,215221540,218642839,215221539,215221540,218642840,221522346,264463140,205985653,205985654,211067914,215221540,218642839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9187591, s2 = 16275925, dlinesl.size( ) = 2 s1 = 9187591, s2 = 16275925, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 9187591, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 14243780, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14262600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8247179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13378516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11006591, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16218276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086223, s2 = 10904617, int(edited[s2]) = 0 s1 = 14086223, s2 = 10904617, d1 = 3, d2 = 0 Dl.O(d1) = 268997934,52634799,59392146,48003908,38092468,29528797,22186346,16059216,11150706,7395874,4672245,254235617,928676,523438,293358,254078585,49047,49048,89183,162245,293384,523486,928754,1633171,2815039,4672433,2911121,2911120,254541489,11151855,7396732,4672799,254235641,928947,928948,1633515,2815672,4673630,7397982,11153481,11203412,7433900,4697559,4697558,7396649,4672751,4672752,7396653,7398008,7395904,7395902,7432552,7432549,11150828,7395973,4672321,4672318,7395983,11150845,11151728,11150734,7398030,7398028,7399498,7399497,11155925,16066462,11201746,7432691,4696727,2829837,1641877,933603,526164,526163,933595,1641846,2829787,4696656,7432580,11201608,15231496,16061675,16061674,16124892,16124880,11201073,7432184,7432183,11201069,11202365,7433159,7433160,11202372,7433515,4697314,4697316,4697349,2830180,1642057,1642055,2830173,4697331,7433548,11202913,16127048,22266432,16125177,16125175,16126875,22266623,16125366,16125367,22266627,16125397,11201528,11201527,16125392,11201915,7432822,4696804,2829883,1641902,1641904,2829891,4696830,4697019,7432803,7432802,11201438,11150172,7395508,4672039,4672040,7395512,11150184,16058527,22185626,22266103,16126386,16126387,22267476,16126398,16126400,11202566,11202296,11202297,16126293,18952522,16127010,16126976,16126978,16127338,22267183,22267182,29618425,255084028,30621882,38185381,29618204,22266900,22266899,29618201,22268410,22268411,29619289,29618779,29618780,38185838,38096341,29532272,22189475,22189474,29532270,22268001,22267999,29618559,29528408,22186033,16058960,11150516,11150518,16058966,11150525,11150526,16058985,22186069,22267056,22267102,22267104,16934619,11852250,7921575,5036210,3049264,3049265,5036218,7921592,11852282,11849625,7919883,5035247,5035248,7919873,11849581,16930778,22267073,22278378,16135360,11208727,11208726,16135354,22278367,22279706,16136312,11209326,7437570,7437572,11202002,11202177,11202174,16126172,22267304,27118653,27118652,29630445,29535765,29535766,29630832,29528437,22186055,22186054,19221558,19221557,25880680,21546453,16065223,11155016,7398922,7398921,11155011,16065210,254771642,29536837,22193668,16065270,16065269,22193664,29536834,37726176,37726174,37726182,37726181,47648182,48003330,38091976,38091977,38100390,38100391,48011094,38471834,36825169,28329600,28329601,36825172,257416193,46707217,38099597,29535739,256388189,48010609,38100779,29537230,29537229,29535952,22192711,16064423,11154504,7398619,7398618,11154502,16064418,22192703,29535949,29535617,23824041,17487195,12329785,8329208,5375685,5375684,8329204,12329776,11155087,7398956,4674164,4674163,7398951,11155079,16065336,22193771,22193800,22192904,16064591,11199433,11199434,16064191,11154366,11154367,11154393,7398555,7398557,11154399,11472933,11155374,11155373,16065710,15857327,10990899,7275729,7275727,4674029,4674030,7398692,7398742,4674054,4674055,7398747,11154711,11155391,16065729,12329798,12329797,17487211,23824083,22194064,17487189,17487167,12329760,8329195,8329192,12329752,16065361,16063968,16063966,22192116,16065059,255454489,255147748,22660294,22193396,22193397,255981680,22660298,16466319,16466318,22660296,30035357,268400693,22192043,22660066,16466101,11472768,7631065,7631064,7399138,7399139,11155385,16064572,11155251,7399056,4674215,254525337,4674225,7399071,11155270,16065601,22193951,16065512,11155202,11155203,16065484,11155171,7399002,7399001,11155138,10029231,10029232,11154717,16064755,16064345,16064344,16065531,22193979,29537078,255843436,16065527,16065525,21128960,21128962,22961074,16725161,16725162,22961076,29537038,255374610,22194350,22194022,255078475,268083617,16065446,11155250,7399054,7399053,11155247,11155267,15093439,21014892,16065567,16065566,255892191,38100662,29537434,22194344,21068962,16065440,16065439,22193892,29537020,23101770,16845051,16845052,22193972,22193973,22388766,255041388,38100673,29537072,29537071,38100670,30048080,22672707,22388809,16229831,11282504,7489516,4733128,4733125,7489509,11282494,16065473,21169073,22564885,16701242,16701243,16476457,16476458,16462711,11470492,11470490,16065582,22194037,29537138,22672703,16476509,11479927,11479925,16476500,22672699,30048074,29535466,29535434,22192197,22192195,29535326,22192090,16063949,16063950,22192095,29535331,22192104,22192107,22671795,16475745,11479431,7635036,7635035,11479422,16475734,16474182,11478360,11478362,16229813,11282483,7489504,7489503,11282480,16229807,11811529,11811530,15133973,16881984,17523230,23867361,30045670,30045667,30045666,30045677,38619516,48248508,38337982,38337981,255097388,22672382,30047792,30048263,30048264,38338000,29767067,22672630,16476434,11479872,11292007,11292008,16242123,16242036,16242037,11478277,7634338,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,16479323,11481886,7636623,7634344,7634343,7635644,7635642,11480380,255077815,7394206,267829473,1632778,1632780,2814355,4671294,7394220,11148246,255453737,29524786,38088709,38088701,38088700,48000498,48000503,48000507,48000508,59389092,48000493,38088695,38088694,38088702,255898170,48000506,268942640,22182402,29524785,257509819,72120450,257104614,72120438,61265271,49786218,39766420,31087860,29524783,29524782,38088706,256556254,72120449,257105894,50552336,40516008,40516007,49786220,39766423,39766422,39155125,254877822,39766425,31087867,268692056,31819319,31819318,40516000,256556252,31087863,23603441,23603440,23603447,17290602,12169569,8201570,5272515,5272517,4644621,4644624,7352872,11087471,15972853,22078603,267803550,12077199,8121194,8121195,12077205,17176735,23454160,24304083,17920520,15199289,10483333,6911634,6911635,10483336,15199384,21154813,28371817,22417160,22417159,21994482,21994483,29323783,37838417,31806084,24291398,24291399,30258968,24306884,24306885,31373827,29782617,23140408,16880237,12687665,8618463,5602834,254140242,254284066,24290772,26622291,23140306,16880139,16880138,22078166,29408786,22079384,17909249,12687865,12687862,11086307,11086308,11807550,7886641,5008784,5008783,7886637,11807544,16877626,23137907 Dl.O(d2) = 22108304,15996822,15995779,15995780,15972926,11088396,11088397,11088420,7353661,7353662,7353669,7353668,11088428,7886695,5008815,5008816,5606328,7886699,11807619,12697656,11088467,7353696,4645169,2798065,1623118,1623117,2798060,4644008,4644009,7352036,7886673,7886672,7351957,4645418,4645417,5536105,7351990,11086405,15971596,15972953,11087614,7353929,4645360,2798187,2798186,4644704,7352992,7354050,10483384,15199444,16637181,11605508,11088793,7354016,4645430,4645431,7354020,11086068,11086069,7886787,5008871,5008872,7352412,7352014,4645317,2798157,1623168,1623167,2798023,1623092,922965,922964,1623088,2798011,1644932,1644933,2835458,4645199,2798086,2798085,4645195,7353743,11087876,12696736,15971337,11086163,7351804,4643855,2797273,2797274,4643860,5008810,4644837,2797866,1623008,922928,922930,1623014,1763074,2798125,1623156,1623158,2798134,4645273,7353820,11087358,7352787,4644576,254349850,7890752,7890751,10487585,15204732,21161101,16881677,11811226,11808838,7887712,5009513,3029061,3029060,5009511,5011366,5011368,7890360,7890338,5011343,5011342,7890336,11808564,11808563,11809613,7888371,7888370,11809612,15973365,15878125,254157754,7286306,11006678,14928835,11809368,11809367,16879527,16879220,16879222,15967582,11082981,267785772,15968567,11083994,7350168,7350169,11083995,11812167,11812168,11808845,7887726,7887725,11808844,16878971,15877986,11006521,7286139,7286138,11006517,11812258,7890538,5011515,5011514,7890535,7890568,5011539,5011540,7888012,7888014,7888170,7888171,11809373,11812376,16882828,23142891,30559877,39157064,49086658,58124483,46756004,36877200,28380795,21163321,16882463,16882461,23142586,30557125,39154654,255383914,28379244,36875925,30557059,23139636,16879343,16879344,21163318,255019388,36728100,36728101,42014139,255884612,30557121,268968119,23142594,16882465,11811982,11811983,16882467,254827718,21161816,28379246,30556918,30556917,33070037,25340331,18760319,13358806,13358807,18760323,18760328,25340342,33070045,31822291,24305687,24305686,31822285,33069961,25340219,268433646,15205472,15205470,21161850,255812840,30451828,30451829,39041256,48962556,48763234,48763235,50555712,256970260,30261103,268650665,36875788,38290550,33069823,25340339,25340338,256301822,16637009,16637008,18760195,25340222,256301911,256805540,22863908,22863909,30259802,29458395,22124203,16010018,16010022,22124208,22865145,16637808,11605950,7726023,7726024,11605953,16361714,16361715,22535679,23419848,30850123,30850130,23419855,22864026,22126177,22126178,29460699,22864022,16637851,13358711,9129665,5974504,5974503,9129663,267896137,4890111,7725693,11605426,16637068,16637483,255501203,16637054,22864256,30260198,30853118,30853119,25340469,22126213,22126214,21841840,16009958,11115314,11115313,7725756,4890143,2946883,2946882,4890139,7725749,11605521,11605595,7725801,4890175,2946896,1709106,971542,547187,306434,306435,547192,971552,1709124,2946929,4890232,7725901,11605343,11605342,16636948,17906036,12685179,8616356,5600932,3476717,3476719,5600941,5974584,3736360,2237012,2237011,3736354,5974575,9129815,13358935,18760524,22864912,16637609,16636991,16636992,16637634,11605834,7725945,4890259,4890258,7725941,11605828,16637624,22864929,30260919,38844556,38844554,38844555,48326068,59712894,72449651,86048418,258223194,104630494,90466575,76608176,63528654,63528655,76608178,90466577,271373738,90466570,76608172,63528652,63528653,63528659,257159885,32602790,255634133,13088752,8919354,5820678,5820677,8919352,13088748,18426888,268134917,13088750,18426891,24939875,32602786,41480899,41480900,41480902,51750408,63528644,76608160,76608159,90466556,104630483,118811459,261396463,158221647,169599440,179797112,169599438,263314229,263690259,272964674,158221644,158221645,169599436,179797116,188776355,179797122,273429519,273738599,263186880,262788696,166095907,154347163,260685160,128346318,141695459,128346321,114469583,100445272,100445258,86488174,86488175,260041989,128346305,114469585,258845758,72893181,60157271,60157270,60157250,48763498,48763499,48763518,38843944,30260193,30260192,38843936,30260185,22864247,16637046,16637045,22864245,30260181,38843928,48763500,60157253,72893164,259178096,84655836,270673230,71093286,270806797,112572731,100445263,86488179,72893163,258801153,257597005,258049135,47006882,37120743,28610458,28610457,37120742,257438761,257016593,30651825,23230408,255970877,257016591,39247596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086223, s2 = 10904617, dlinesl.size( ) = 2 s1 = 14086223, s2 = 10904617, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14086223, Dl.E( ) = 6, 1.69e-05 seconds used appending s1 = 12259086, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12259086, s2 = 11115132, int(edited[s2]) = 0 s1 = 12259086, s2 = 11115132, d1 = 7, d2 = 7 Dl.O(d1) = 29483214,256384191,47959705,41849398,32920395,32920396,41849399,52173280,269919483,32071202,24499057,18071599,12811667,8710830,268601094,32071201,25006193,18483673,18474861,18474864,18471937,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985394,17985443,24385007,31917468,38898525,40815292,34202483,26329151,26329149,32059535,32059537,38897159,30311146,22911333,22911329,18333111,13125830,8946473,8946475,13125812,8946453,8946455,13126425,13126420,18333407,18333411,18479969,13128805,13128809,16239443,11290016,10346388,10346386,15018566,18071581,12811654,8710827,5670513,3527246,3527244,3550585,2114585,2114584,2120563,1222732,1222733,2120565,3488419,2071934,1190056,1190054,685700,685698,1214671,2108647,3541921,5693343,8745069,12859557,18135012,24577482,32162595,40941475,51083879,256747672,63074317,51385382,41194597,41194595,49326871,51385445,51385446,256929728,48490904,38577657,38577658,48490905,59882448,72620853,72620854,63074322,63074321,76070303,76070310,72620870 Dl.O(d2) = 29483214,256384191,47959705,41849398,32920395,32920396,41849399,52173280,269919483,32071202,24499057,18071599,12811667,8710830,268601094,32071201,25006193,18483673,18474861,18474864,18471937,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985399,12746872,12746874,17985436,18471941,17985395,17985394,17985443,24385007,31917468,38898525,40815292,34202483,26329151,26329149,32059535,32059537,38897159,30311146,22911333,22911329,18333111,13125830,8946473,8946475,13125812,8946453,8946455,13126425,13126420,18333407,18333411,18479969,13128805,13128809,16239443,11290016,10346388,10346386,15018566,18071581,12811654,8710827,5670513,3527246,3527244,3550585,2114585,2114584,2120563,1222732,1222733,2120565,3488419,2071934,1190056,1190054,685700,685698,1214671,2108647,3541921,5693343,8745069,12859557,18135012,24577482,32162595,40941475,51083879,256747672,63074317,51385382,41194597,41194595,49326871,51385445,51385446,256929728,48490904,38577657,38577658,48490905,59882448,72620853,72620854,63074322,63074321,76070303,76070310,72620870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12259086, s2 = 11115132, dlinesl.size( ) = 2 s1 = 12259086, s2 = 11115132, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 12259086, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 15197731, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8230149, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10157050, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10704621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10704621, s2 = 11118374, int(edited[s2]) = 0 s1 = 10704621, s2 = 11118374, d1 = 0, d2 = 0 Dl.O(d1) = 55691262,44783934,35360197,27237526,20307672,14573674,10028295,6590677,4129005,4129006,6590679,10028299,14573680,15599574,21630640,20307678,20307677,15599583,10791544,10791543,15599580,21630650,28904953,21630969,21630970,21630652,21630653,24655099,32254628,39783275,49802458,61280752,74060221,87664064,75816600,75816599,75816555,62853306,62406374,50824630,50824631,55627527,59360136,47969120,47969121,51203846,60076223,48679982,38758289,30175284,22786545,22786544,30175281,38758287,47969100,38055869,38055870,47969098 Dl.O(d2) = 55691262,44783934,35360197,27237526,20307672,14573674,10028295,6590677,4129005,4129006,6590679,10028299,14573680,15599574,21630640,20307678,20307677,15599583,10791544,10791543,15599580,21630650,28904953,21630969,21630970,21630652,21630653,24655099,32254628,39783275,49802458,61280752,74060221,87664064,75816600,75816599,75816555,62853306,62406374,50824630,50824631,55627527,59360136,47969120,47969121,51203846,60076223,48679982,38758289,30175284,22786545,22786544,30175281,38758287,47969100,38055869,38055870,47969098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10704621, s2 = 11118374, dlinesl.size( ) = 2 s1 = 10704621, s2 = 11118374, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10704621, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11119247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119247, s2 = 10739337, int(edited[s2]) = 0 s1 = 11119247, s2 = 10739337, d1 = 8, d2 = 0 Dl.O(d1) = 38932641,30346755 Dl.O(d2) = 11668510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119247, s2 = 10739337, dlinesl.size( ) = 20 s1 = 15267282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15921031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11119707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119707, s2 = 10612977, int(edited[s2]) = 0 s1 = 11119707, s2 = 10612977, d1 = 21, d2 = 17 Dl.O(d1) = 39052644,30463094,23054953,23054952,25768806,25768437,19128656,19128657,21683120,28965061,37508413,38574374,32410485,24785625,18303834,18303833,24785621,31696384,24188704,24188703,257095939,61913121 Dl.O(d2) = 146817237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119707, s2 = 10612977, dlinesl.size( ) = 12 s1 = 11843815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10578765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10578765, s2 = 11843816, int(edited[s2]) = 0 s1 = 10578765, s2 = 11843816, d1 = 1, d2 = 7 Dl.O(d1) = 13529918 Dl.O(d2) = 256137507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10578765, s2 = 11843816, dlinesl.size( ) = 2 s1 = 10578765, s2 = 11843816, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10578765, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 12259818, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15596697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11120945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120945, s2 = 14031510, int(edited[s2]) = 0 s1 = 11120945, s2 = 14031510, d1 = 87, d2 = 84 Dl.O(d1) = 49237213,39310429,30712747,30712748,39310430,49237215,49237213,49237214,49237215,60637925,73220911,73221847,86834363,88020057,74412375,73384144,73384143,86999403,87591352,73990993,61212057,49733666,39714866,39714867,49733667,61212058,60475401,49072200,39142019,30543374,23124816,23124817,30543375,31061262,23577735,23577734,29054839,37602985,32344788,255104218,33282454,25522267,25522268,268307588,33282453,40391893,31699074,31699073,40391892,50425670,50425673,258122111,48035470,38122230,38122231,48035471,59427805,72166472,72166473,85760684,91709783,77782129,64599252,52698608,52698607,49423148,39493121,30886730,30886729,25432543,18838035,13421639,9176590,6006130,254649369,254921905 Dl.O(d2) = 13438114,18861050,13438119,255262013,255665029,255665021,13438120,13438121,18861063,255665019,13438109,255262007,255632907,18408156,17443028,17443029,23771647,23757074,17430070,17430069,22218220,23743249,23743250,23772165,23772166,31256796,31255625,31255622,39930642,38128737,29563160,22217706,16086228,16086229,22217708,29563163,38128739,35211798,35211799,37814248,29249302,21928803,15842134,10978306,10978305,15842121,12906670,8779775,5718196,5718197,254891831,18196577,256074863,32253868,41047049,269449695,258119506,98997555,85072021,71499967,71499966,84993130,84993129,98918019,84993137,71419693,58686385,47295533,47295532,58686383,71419689,84993132,255891194,99801597,85849546,72258445,72258444,85849545,258742996,127682664,141030284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120945, s2 = 14031510, dlinesl.size( ) = 56 s1 = 14191508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191508, s2 = 11121058, int(edited[s2]) = 0 s1 = 14191508, s2 = 11121058, d1 = 1, d2 = 1 Dl.O(d1) = 255412295,28828893,256878267,47507340,47507341,47507343,47507342,46809440,46809441,58176776,47507333,37603472,29055249,21760648,15705362,15705363,21760650,29055253,37603482,37369410,28829352,21558443,21558444,22430805,16263483,255472559,256409437,48281336,46644855,36759162,36759165,37368405,28828349,21557532,21557533,28828351,37368408,47278229,58669697,258693235,85917773,72324514,269539882,59590047,48203596,48203595,48203602,48203601,59590056,72324520,258866558,85002732,85917780,99872996,103875669,89774099,89774098,99872998,99872997,112891087,99872999,99873000,86084533,72487100,72487101,85917779,85917778,99873010,99873008,85917776,260002229,99873001,99873002,98927396,258244006,71429843,79346171,93479996,107914226,270556822,258446338,99765365,85811428,72217452,59480263,256162136,46866074,46866075,58233956,259289609,98436197,84514655,70951093,70951092,269776413,256850195,28490741,21274267,15312833,15312832,256311147,257428637,70951095,84514659,84514660,98436200,106745214,92440357,86528936,86528937,100487616,100487614,257102784,269414066,62008445,62008446,72930399,60190947,48794200,48794199,58233932,48794180,48794181,38871765,38871763,48794192,258180675,86528939,100487621,102440164,258936940,70332593,70332592,258691271,259318071,112863030,126714405,140061533,126714416,112863041,98875659,84949685,71373503,71373502,84949683,259318073,112863005,270815191,71373494,84949676,98875654,98875649,84949673,84949674,98875651,260537963,261666301,261198917,261198919,154108952,164062722,260759666,126091430,112236343,98258266,84350772,70791961,70791962,84350773,98258268,112236347,108625287,108625288,122889407,136721073,126091416,260161974,152185465,139461719,126091446,126091445,139461710,126091438,112236348,112236349,108625339,94338213,94338215,108625343,122889465,112236344,112236345,126091433,136721078,122889411,108625291,94338155,94338156,108625293,122889415,126091415,112236334,98258258,98258259,112236336,126091419,139461700,136721092,122889425,108625304,259130949,259130951,108625306,122889430,136721099,143781269,143781268,156306353,166123570,154650234,142005874,128642425,114741037,100691141,100691140,114741035,128642418,142005867,154650227,149863275,136721023,122889342,108625211,94338079,80281888,80281889,94338081,108625214,122889347,122889004,108624841,94337759,80281608,80281609,80281891,94338084,108624849,94337765,80281612,257882535,43848272,43848273,54592874,66851831,80281613,94337767,260374567,122889348,122889350,260654405,259759681,258501875,66852067,80281884,80281987,258501877,258501879,80281985,80281986,80281993,258211958,43848436 Dl.O(d2) = 255412295,28828893,256878267,47507340,47507341,47507343,47507342,46809440,46809441,58176776,47507333,37603472,29055249,21760648,15705362,15705363,21760650,29055253,37603482,37369410,28829352,21558443,21558444,22430805,16263483,255472559,256409437,48281336,46644855,36759162,36759165,37368405,28828349,21557532,21557533,28828351,37368408,47278229,58669697,258693235,85917773,72324514,269539882,59590047,48203596,48203595,48203602,48203601,59590056,72324520,258866558,85002732,85917780,99872996,103875669,89774099,89774098,99872998,99872997,112891087,99872999,99873000,86084533,72487100,72487101,85917779,85917778,99873010,99873008,85917776,260002229,99873001,99873002,98927396,258244006,71429843,79346171,93479996,107914226,270556822,258446338,99765365,85811428,72217452,59480263,256162136,46866074,46866075,58233956,259289609,98436197,84514655,70951093,70951092,269776413,256850195,28490741,21274267,15312833,15312832,256311147,257428637,70951095,84514659,84514660,98436200,106745214,92440357,86528936,86528937,100487616,100487614,257102784,269414066,62008445,62008446,72930399,60190947,48794200,48794199,58233932,48794180,48794181,38871765,38871763,48794192,258180675,86528939,100487621,102440164,258936940,70332593,70332592,258691271,259318071,112863030,126714405,140061533,126714416,112863041,98875659,84949685,71373503,71373502,84949683,259318073,112863005,270815191,71373494,84949676,98875654,98875649,84949673,84949674,98875651,260537963,261666301,261198917,261198919,154108952,164062722,260759666,126091430,112236343,98258266,84350772,70791961,70791962,84350773,98258268,112236347,108625287,108625288,122889407,136721073,126091416,260161974,152185465,139461719,126091446,126091445,139461710,126091438,112236348,112236349,108625339,94338213,94338215,108625343,122889465,112236344,112236345,126091433,136721078,122889411,108625291,94338155,94338156,108625293,122889415,126091415,112236334,98258258,98258259,112236336,126091419,139461700,136721092,122889425,108625304,259130949,259130951,108625306,122889430,136721099,143781269,143781268,156306353,166123570,154650234,142005874,128642425,114741037,100691141,100691140,114741035,128642418,142005867,154650227,149863275,136721023,122889342,108625211,94338079,80281888,80281889,94338081,108625214,122889347,122889004,108624841,94337759,80281608,80281609,80281891,94338084,108624849,94337765,80281612,257882535,43848272,43848273,54592874,66851831,80281613,94337767,260374567,122889348,122889350,260654405,259759681,258501875,66852067,80281884,80281987,258501877,258501879,80281985,80281986,80281993,258211958,43848436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191508, s2 = 11121058, dlinesl.size( ) = 2 s1 = 14191508, s2 = 11121058, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14191508, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 11121057, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16209988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16209988, s2 = 14536089, int(edited[s2]) = 0 s1 = 16209988, s2 = 14536089, d1 = 98, d2 = 94 Dl.O(d1) = 258616706,52279889,268900418,25274794,18702434,13309341,9090552,5947028,5378274,3307198,3307196,4256786,6789789,10320341,9361389,6131823,3836232,3836233,6131825,9361391,13670436,17881472,17881471,18670553,18683370,13290454,9094528,5949819,5949818,9094527,13313838,267934763,6128417,9356075,11784545,10303415,6775392,6775393,6866128,4309232,4309231,6866126,10415800,9102611,5955955,3724691,3724692,5955962,6865962,4309123,2576622,2576623,4309125,6865965,10415619,15101514,21025587,28220725,36713415,46601621,258018969,84248528,98142251,112101184,125934486,139283555,151990509,163859101,263073829,263073827,174676534,184299049,192718035,264161329,264451497,215267869,218446755 Dl.O(d2) = 81118409,95176873,109433060,123626550,137358798,137358797,143044288,155594321,155594322,262333806,143044302,129713548,129713547,143044300,155594337,155594316,143044283,260709743,115814723,129713540,143044288,155594321,155594322,262333806,143044289,143044290,155594285,261825774,262805608,129713541,143044290,155594285,167225915,177723478,173563106,162530296,150400034,272779809,155594348,143044307,129713552,129713553,115814735,101769056,101769055,115814732,261282979,262333819,155594344,167225960,262333811,155594311,155594380,155594346,262333819,143044305,143044306,262333809,261825776,155594350,143044309,129713552,129713553,115814735,101769056,101769055,115814732,261282979,262333819,143044305,143044306,262333809,261825776,155594287,143044257,129713523,258873684,258873683,49936683,39918790,31243183,23758931,268438611,39276306,49202903,60321087,59599672,59599673,49955788,49955789,48828731,256177802,30661616,30661618,39257521,49183437,42165729,33205545,29745041,22385811,22385812,29745043,38313762,48223673,59610495,72344808,85938596,99893695,113912174,113961204,99938298,85980210,72385134,59650544,48263442,48263443,38621320,30047619,22672218,16476117,11479677,7635181,4830322,4830323,7635182,11479678,267887634,13172811,13172810,8979950,5862876,3660326,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949926,17035655,12504996,12504995,9637699,9637701,9637711,6335474,6335473,9637709,7129947,7129946,10791851,10021776,10021775,14564156,16296143,16296142,19319697,20908653,22719291,254712636,11508805,10319685,10276290,6753391,6753392,10276293,14600896,19456847,13924297,13924298,19456849,25732074,25732075,21626943,15596085,10789057,10789056,10414973,10414972,15100913,20833664,14969258,10301420,10049751,6603889,6603887,10049746,10046096,10046098,9072210,5938401,5938403,9079969,10792094,9090225,5946735,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929109,5929112,7732140,7732129,7732132,11612394,16644409,15074158,15074159,16514910,16514911,22215799,16084077,16084076,11271363,7482188,7482187,10276411,7482180,4728462,2848850,2848848,4728456,7482167,6938045,6938044,10520472,15249923,16514257,14610106,11105779,11105780,15997571,20348075,27283452,29235560,29235559,31210803,23725105,18878788,13453414,9200383,6023719,6023718,9200378,11507747,7655348,5519228,5519227,8520826,12565777,17757887,24118955,28392117,28392116,36589338,46455551,57811764,70513127,84048441,73340410,60595645,49194993,39268815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16209988, s2 = 14536089, dlinesl.size( ) = 2 s1 = 16209988, s2 = 14536089, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16209988, Dl.E( ) = 100, 3.29e-05 seconds used appending s1 = 11182743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11182743, s2 = 11122474, int(edited[s2]) = 0 s1 = 11182743, s2 = 11122474, d1 = 2, d2 = 4 Dl.O(d1) = 254837700 Dl.O(d2) = 255998454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11182743, s2 = 11122474, dlinesl.size( ) = 8 s1 = 10341749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10341749, s2 = 7972579, int(edited[s2]) = 0 s1 = 10341749, s2 = 7972579, d1 = 17, d2 = 14 Dl.O(d1) = 259345832,72006247,59270197,59270195,60174867,72911737,270862097,100466051,260043625,86508142,86508141,85593187,72006250,59270200,59270201,269830668,48780377,38860099,30275447,22878178,16649838,11617759,11617758,16649837,22878177,30275445,36983752,28755256,22033184,15931702,15931701,18322465,13005958,13005957,18322463,21270310,21232004,15262404,254724899,267961281,15262402,15303378,15303377,18953969,13517284,9249562,9249561,10573944,12057117,12057094,12057095,12053722,10543672,10543671,13522701,9254213,9254214,10569800,9982880,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13534090,13513843,13513844,18950505,25562380,33323757 Dl.O(d2) = 133962357,120120699,105909002,91701823,91701824,91701825,105909003,120120701,133962362,262845989,156307136,143782051,130452940,271423667,88493628,74856428,62057455,50564752,40528194,31830809,24312866,17927555,12702543,8630109,5611855,3485651,2069885,1188619,1188620,2069887,3485656,5611863,8630120,12702555,17927568,24312884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10341749, s2 = 7972579, dlinesl.size( ) = 2 s1 = 10341749, s2 = 7972579, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 10341749, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 11020915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020915, s2 = 11124616, int(edited[s2]) = 0 s1 = 11020915, s2 = 11124616, d1 = 7, d2 = 7 Dl.O(d1) = 11636489,11636490,16671406,16671363,11636455,11636456,16671365,16669524,16669525,22899991,22902289,22902288,22899726,22899725,30298095,30301027,30301037,30301108,30301110,31099395,39777717,31523380,31523379 Dl.O(d2) = 11636489,11636490,16671406,16671363,11636455,11636456,16671365,16669524,16669525,22899991,22902289,22902288,22899726,22899725,30298095,30301027,30301037,30301108,30301110,31099395,39777717,31523380,31523379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020915, s2 = 11124616, dlinesl.size( ) = 2 s1 = 11020915, s2 = 11124616, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11020915, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11013649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996673, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14191828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11126871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126871, s2 = 14072321, int(edited[s2]) = 0 s1 = 11126871, s2 = 14072321, d1 = 6, d2 = 12 Dl.O(d1) = 256065397,18091466,12826472,12826471,257125597,272361560,260189949,127297432,140643374,153322330,165133329,263132185,193647455 Dl.O(d2) = 272549681,140643371,272851279,153322331,260570640,113438780,99436878,85495325,71910353,256913396,256370993,268539352,7279192,4590744,2761991,254345575,7279195,10996122,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538408,9948279,8990644,5869891,267927527,13188605,18559898,18559896,18559895,256619525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126871, s2 = 14072321, dlinesl.size( ) = 14 s1 = 12261098, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11130821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11130821, s2 = 11056772, int(edited[s2]) = 0 s1 = 11130821, s2 = 11056772, d1 = 2, d2 = 3 Dl.O(d1) = 268621006,13428311,9181116 Dl.O(d2) = 11767568,11767567,16827950,23080249,27068859,25444214,25444213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11130821, s2 = 11056772, dlinesl.size( ) = 20 s1 = 11131401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244510, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14244520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13607583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15198489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12261610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11133223, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14063578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14063578, s2 = 8761424, int(edited[s2]) = 0 s1 = 14063578, s2 = 8761424, d1 = 27, d2 = 31 Dl.O(d1) = 55265194,67607009,81075326,95133923,109388535,123580487,261552115,136183075,122218510,260355950,259107217,79264081,93390408,79264067,65901764,53834594,53834595,65901766 Dl.O(d2) = 227249890,227249891,225258124,265277513,220307712,220307705,217171053,265076421,217621195,217621194,265298711,265644737,225258124,223276532,220677069,220677070,223276534,225523836,225523838,223276537,265099225,264635775,204060240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14063578, s2 = 8761424, dlinesl.size( ) = 2 s1 = 14063578, s2 = 8761424, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14063578, Dl.E( ) = 38, 1.1e-05 seconds used appending s1 = 11135835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10542146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12262082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16386569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138623, s2 = 15157378, int(edited[s2]) = 0 s1 = 11138623, s2 = 15157378, d1 = 36, d2 = 63 Dl.O(d1) = 259244845,111628366 Dl.O(d2) = 116667722,130506828,143831254,143831243,130506820,116667716,259551127,62118724,50618867,258328560,12724552,12795599,15025078,10352929,6817496,4276426,4276427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138623, s2 = 15157378, dlinesl.size( ) = 62 s1 = 12262400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140393, s2 = 11207918, int(edited[s2]) = 0 s1 = 11140393, s2 = 11207918, d1 = 82, d2 = 56 Dl.O(d1) = 260494275,139334943,152041694,163905792,163905787,152041692,152041691,163905786 Dl.O(d2) = 261086608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140393, s2 = 11207918, dlinesl.size( ) = 82 s1 = 11140477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140477, s2 = 11429220, int(edited[s2]) = 0 s1 = 11140477, s2 = 11429220, d1 = 10, d2 = 1 Dl.O(d1) = 268605921,28282522,36778582,259893473,125997348 Dl.O(d2) = 163915356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140477, s2 = 11429220, dlinesl.size( ) = 12 s1 = 16342098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16342098, s2 = 12262723, int(edited[s2]) = 0 s1 = 16342098, s2 = 12262723, d1 = 8, d2 = 7 Dl.O(d1) = 258510448 Dl.O(d2) = 139544947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16342098, s2 = 12262723, dlinesl.size( ) = 2 s1 = 16342098, s2 = 12262723, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16342098, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 12262724, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11142097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142097, s2 = 14018962, int(edited[s2]) = 0 s1 = 11142097, s2 = 14018962, d1 = 8, d2 = 12 Dl.O(d1) = 259009676,255418609,26007834,19334177,19334178,26007837,29207241,21893806,255869763,21850000,15779193,10930522,10930523,13825931,9482185,6217651,3891658,2330067,1350503,254114819,254114821 Dl.O(d2) = 2303808,2303807,268787384,434424,763674,437800,247124,254076731,267736791,247126,254114823,437794,437795,247122,136526,74339,40231,40232,267736791,247125,437799,770438,254209277,3891704,2330089,1350519,254209275,437794,437795,437798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142097, s2 = 14018962, dlinesl.size( ) = 2 s1 = 11142097, s2 = 14018962, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11142097, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14065818, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11255465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255465, s2 = 14357959, int(edited[s2]) = 0 s1 = 11255465, s2 = 14357959, d1 = 7, d2 = 5 Dl.O(d1) = 271397073,130012089,143345654,155890488,262411702,156346330,143824518,130500417,116661820,102563158,88556834,74918443,74918444,88556835,102563162,116661826,130500426,260872468,125543270,137485100,123759905,109568689,95311897,81251000,67781604,55438638,44589183,39100508,30504394,30504393,39100505,49029478,60433181,73180092,86792518,100773351,114825348,260578334,154723232,154723236,142084220,142084216,142084217,145139686,260944034,103915473,260213059,106000063,91804996 Dl.O(d2) = 64692541,52778476,52778477,64692542,77732923,77732922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255465, s2 = 14357959, dlinesl.size( ) = 2 s1 = 11255465, s2 = 14357959, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11255465, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14245110, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14245112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10225373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10225373, s2 = 7878768, int(edited[s2]) = 0 s1 = 10225373, s2 = 7878768, d1 = 87, d2 = 84 Dl.O(d1) = 131496024,259375152 Dl.O(d2) = 33075871,25345675,18764746,13362100,9131988,9131987,13362098,10781962,7124111,254160822,11482831,16480246,11557974,11366831,11366832,7835000,254183464,267835043,4772970,7546750,7446534,7446533,11222919,16153888,19365668,26044757,33866836 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12263618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12263740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11853431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16301251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16301251, s2 = 8634291, int(edited[s2]) = 0 s1 = 16301251, s2 = 8634291, d1 = 47, d2 = 54 Dl.O(d1) = 254795215 Dl.O(d2) = 262330576,199017771,205292133,210484917,214727760,264557422,223662842,265035298,223662842,221152048,221152049,221282911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16301251, s2 = 8634291, dlinesl.size( ) = 2 s1 = 16301251, s2 = 8634291, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16301251, Dl.E( ) = 106, 3.48e-05 seconds used appending s1 = 13501065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15241513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15245770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11071647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14242239, s2 = 10899302, int(edited[s2]) = 0 s1 = 14242239, s2 = 10899302, d1 = 0, d2 = 0 Dl.O(d1) = 61444724,74224434,87829460,101803539,115849916,129749425,138688330,138688331,151396205,138688334,125348493,111529535,97588794,83715266,70193519,70193520,269983022,46211033,36380715,256118106,27937327,20784099,14896381,10242930,6730251,6730010,4216641,4216640,6730008,10242494,14895859,268369171,36380730,46211046,57526419,70193524,83715268,97588799,111529516,111529515,97589861,97589860,111530713,115930564,115930567,129830243,143161821,131320478,117525010,103400454,89310999,75555363,62618374,50997053,50997054,62618375,62618372,50997050,40863166,40863167,36644545,28169196,20988817,15075800,15075802,18087069,20988844,20988842,28169236,21350596,15374608,15374607,21350592,22146471,22146472,29484776,24518075,18087128,18087129,24518082,28526819,21304870,15335714,15335713,21304866,28526811,37024812,38022809,42135148,42135149,52492052,46512267,36644641,28169272,28169275,28169265,20988869,20988868,28169260,23023790,23023792,23023756,23023758,30429348,39018614,39018650,37848631,37848634,38999882,38999883,36644582,28169222,20988837,20988838,28169227,28169232,21350583,21350584,23023811,28580042,37084526,40863605,32092471,24518100,18087136,12822725,12822726,18087142,24518107,28526803,21304862,21304861,28526796,37024786,46902483,46902496,46902494,47771813,39019332,39019333,48942467,48942060,48942061,48942009,39019302,39018720,30429445,23023826,16782604,11734395,7834424,4973043,4973045,7834430,11734414,16782641,23023880,30429533,37084542,37084543,46965790,48942003,39018704,30429433,23023817,16782744,16782745,23024037,30429749,39018812,30429919,23024144,16782808,16782807,255511679,11734400,11734401,16782619,16782856,11734531,7834491,4973073,3003700,1744356,1744355,3003697,4973067,7834481,11734510,16782825,23024177,23024235,30430000,39019358,46997416,37111940,30429545,30429544,23024053,23024051,30429772,39019072,48942284,39019276,39019277,46997481,268654633,23024183,268654631,60339600,60339599,73079553,73079558,60339606,58367617,257251370,21369386,21369387,256319531,21369363,21369365,28602940,35115788,27029160,27029161,24778995,18298494,12988587,8842223,8842224,12988592,18298501,24779008,32402928,41227089,46935871,37057512,28556860,28556861,28602656,28602655,21447727,21447728,28699744,37225659,46997549,58367595,60339633,58718267,47329622,37421291,37421290,47329620,39019252,255956077,255128051,11734499,16782803,23024136,30429912,39019083,30429790,30429791,39019085,48942292,60339507,53129927,50082041,40060531,31377870,31377871,37111670,28602618,28602619,37111672,46997182,256420386,40060558,256019207,17535275,254851921,5394089,254595095,12367715,17535265,23881166,31377906,37111866,37111865,37077022,37077023,39000386,39000392,37057522,28556867,28556866,30429892,39000328,39000327,39019198,30429873,30429872,39019193,40060490,37111860,28602778,21369254,21369253,28602771,37111843,30429855,30429856,39019171,30629078,30629076,30629584,23206745,16935928,16935927,23206741,30629580,268681127,40060470,31377789,31377788,256620176,31377897,31377898,40060549,48924272,39000377,30411244,23006351,23006350,30411214,23206662,23206661,30629464,33980100,33980102,39227135,39227136,30629435,23206713,16935911,11853100,11853101,15455145,15455144,16935747,23206446,30629095,39226966,39000356,30411227,30411228,30629347,30629061,23206325,23206323,23206547,16935802,11853040,7922067,7922069,11853046,16935816,11853055,7922071,7922072,11853061,16935849,23206624,30629422,30629314,23206509,23206508,23206652,16935866,11853073,7922076,7922078,7922050,7922049,11853009,11853097,7922086,7922085,11853091,16935900,23206700,30629522,31377756,39227061,30629549,30629550,30629234,30629233,30629137,30629138,39227025,256522208,257651920,89311151,259507240,50997014,50997012,62618331,58180422,46813361,36935111,36935112,28436191,21211549,255022125,6935490,6935489,10516746,15244507,12822644,12822645,18086999,24517907,29048449,21754898,15700891,15700890,21754895,29048444,24517761,24517734,18086875,18086874,12822598,12822376,12822374,12822608,18086928,23855315,17512130,17512131,23855325,31349355,40029776,39802264,31122076,23636042,23636041,31122070,39802256,36935188,28436233,28436232,36935182,32092065,32091522,24517394,18086637,18086636,24517387,32091513,39227266,32092009,30691805,23277065,17018883,17018884,23277072,18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,3529495,5674652,8717897,12822623,18086947,24517828,32092113,256522174,257651876,89311004,103400458,117525015,131320484,133133755,133133754,141489553,128128367,114241659,100207496,100207495,86239383,72636768,59894736,256967671,30013572,25516219,25516218,33276623,30013511,30013510,256967669,59894695,59894089,48500063,48500061,257247506,74195575,74195574,72636297,59894090,258157373,59894679,59894680,49939112,39921318,38598898,256321060,46995513,37110215,37110214,46995511,58365572,71081737,61417083,49939164,39921370,31245674,31245675,39921371,49939166,49939184,49939183,49939180,49939179,61417098,74195588,87798850,101770923,115816477,129715176,143045795,143045805,262333975,155595794,143045807,143045806,262333977,177725037,177725029,177725028,177725032,175221687,175221688,175221683,164440480,164440481,175221685,184789311,193143360,200313336,200313342,263855502,175221682,262654252,139874809,139874810,126509190,260522028,84717401,71147509,58425874,47051195,37160615,37160616,47051191,37160607,28644560,21403201,21403200,28644559,37160605,256304754,21892278,255061207,10959412,15814682,21892250,15814667,15814661,254754019,2752069,2752070,4574563,7253917,10959405,15814665,15814666,21892249,29205459,37766922,37766923,47688239,59087103,71827461,77047061,76671794,63585200 Dl.O(d2) = 61444724,74224434,87829460,101803539,115849916,129749425,138688330,138688331,151396205,138688334,125348493,111529535,97588794,83715266,70193519,70193520,269983022,46211033,36380715,256118106,27937327,20784099,14896381,10242930,6730251,6730010,4216641,4216640,6730008,10242494,14895859,268369171,36380730,46211046,57526419,70193524,83715268,97588799,111529516,111529515,97589861,97589860,111530713,115930564,115930567,129830243,143161821,131320478,117525010,103400454,89310999,75555363,62618374,50997053,50997054,62618375,62618372,50997050,40863166,40863167,36644545,28169196,20988817,15075800,15075802,18087069,20988844,20988842,28169236,21350596,15374608,15374607,21350592,22146471,22146472,29484776,24518075,18087128,18087129,24518082,28526819,21304870,15335714,15335713,21304866,28526811,37024812,38022809,42135148,42135149,52492052,46512267,36644641,28169272,28169275,28169265,20988869,20988868,28169260,23023790,23023792,23023756,23023758,30429348,39018614,39018650,37848631,37848634,38999882,38999883,36644582,28169222,20988837,20988838,28169227,28169232,21350583,21350584,23023811,28580042,37084526,40863605,32092471,24518100,18087136,12822725,12822726,18087142,24518107,28526803,21304862,21304861,28526796,37024786,46902483,46902496,46902494,47771813,39019332,39019333,48942467,48942060,48942061,48942009,39019302,39018720,30429445,23023826,16782604,11734395,7834424,4973043,4973045,7834430,11734414,16782641,23023880,30429533,37084542,37084543,46965790,48942003,39018704,30429433,23023817,16782744,16782745,23024037,30429749,39018812,30429919,23024144,16782808,16782807,255511679,11734400,11734401,16782619,16782856,11734531,7834491,4973073,3003700,1744356,1744355,3003697,4973067,7834481,11734510,16782825,23024177,23024235,30430000,39019358,46997416,37111940,30429545,30429544,23024053,23024051,30429772,39019072,48942284,39019276,39019277,46997481,268654633,23024183,268654631,60339600,60339599,73079553,73079558,60339606,58367617,257251370,21369386,21369387,256319531,21369363,21369365,28602940,35115788,27029160,27029161,24778995,18298494,12988587,8842223,8842224,12988592,18298501,24779008,32402928,41227089,46935871,37057512,28556860,28556861,28602656,28602655,21447727,21447728,28699744,37225659,46997549,58367595,60339633,58718267,47329622,37421291,37421290,47329620,39019252,255956077,255128051,11734499,16782803,23024136,30429912,39019083,30429790,30429791,39019085,48942292,60339507,53129927,50082041,40060531,31377870,31377871,37111670,28602618,28602619,37111672,46997182,256420386,40060558,256019207,17535275,254851921,5394089,254595095,12367715,17535265,23881166,31377906,37111866,37111865,37077022,37077023,39000386,39000392,37057522,28556867,28556866,30429892,39000328,39000327,39019198,30429873,30429872,39019193,40060490,37111860,28602778,21369254,21369253,28602771,37111843,30429855,30429856,39019171,30629078,30629076,30629584,23206745,16935928,16935927,23206741,30629580,268681127,40060470,31377789,31377788,256620176,31377897,31377898,40060549,48924272,39000377,30411244,23006351,23006350,30411214,23206662,23206661,30629464,33980100,33980102,39227135,39227136,30629435,23206713,16935911,11853100,11853101,15455145,15455144,16935747,23206446,30629095,39226966,39000356,30411227,30411228,30629347,30629061,23206325,23206323,23206547,16935802,11853040,7922067,7922069,11853046,16935816,11853055,7922071,7922072,11853061,16935849,23206624,30629422,30629314,23206509,23206508,23206652,16935866,11853073,7922076,7922078,7922050,7922049,11853009,11853097,7922086,7922085,11853091,16935900,23206700,30629522,31377756,39227061,30629549,30629550,30629234,30629233,30629137,30629138,39227025,256522208,257651920,89311151,259507240,50997014,50997012,62618331,58180422,46813361,36935111,36935112,28436191,21211549,255022125,6935490,6935489,10516746,15244507,12822644,12822645,18086999,24517907,29048449,21754898,15700891,15700890,21754895,29048444,24517761,24517734,18086875,18086874,12822598,12822376,12822374,12822608,18086928,23855315,17512130,17512131,23855325,31349355,40029776,39802264,31122076,23636042,23636041,31122070,39802256,36935188,28436233,28436232,36935182,32092065,32091522,24517394,18086637,18086636,24517387,32091513,39227266,32092009,30691805,23277065,17018883,17018884,23277072,18086968,18086967,15700903,10869058,7186301,7186303,10869063,15700910,12822655,8717913,5674664,3529499,3529495,5674652,8717897,12822623,18086947,24517828,32092113,256522174,257651876,89311004,103400458,117525015,131320484,133133755,133133754,141489553,128128367,114241659,100207496,100207495,86239383,72636768,59894736,256967671,30013572,25516219,25516218,33276623,30013511,30013510,256967669,59894695,59894089,48500063,48500061,257247506,74195575,74195574,72636297,59894090,258157373,59894679,59894680,49939112,39921318,38598898,256321060,46995513,37110215,37110214,46995511,58365572,71081737,61417083,49939164,39921370,31245674,31245675,39921371,49939166,49939184,49939183,49939180,49939179,61417098,74195588,87798850,101770923,115816477,129715176,143045795,143045805,262333975,155595794,143045807,143045806,262333977,177725037,177725029,177725028,177725032,175221687,175221688,175221683,164440480,164440481,175221685,184789311,193143360,200313336,200313342,263855502,175221682,262654252,139874809,139874810,126509190,260522028,84717401,71147509,58425874,47051195,37160615,37160616,47051191,37160607,28644560,21403201,21403200,28644559,37160605,256304754,21892278,255061207,10959412,15814682,21892250,15814667,15814661,254754019,2752069,2752070,4574563,7253917,10959405,15814665,15814666,21892249,29205459,37766922,37766923,47688239,59087103,71827461,77047061,76671794,63585200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14242239, s2 = 10899302, dlinesl.size( ) = 2 s1 = 14242239, s2 = 10899302, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14242239, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 14067890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14078858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11152871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11152871, s2 = 11215646, int(edited[s2]) = 0 s1 = 11152871, s2 = 11215646, d1 = 16, d2 = 12 Dl.O(d1) = 49164065,256470712,23215968,23215969,30639184,30636981,23214044,16942212,11857420,7924515,7924514,8622701,9373153,6139969,3841619,3841618,6139964,254561385,5037534,7924428,11857298,16942068,13686820,9373167,6139977,3841623,3841625,6139982,9373174,13686829,13382327,9147221,5985933,5985932,254376268,3841614,3841615,6139956,9373135,13686784,18788686,25373431,267836456,23215108,24298280,255138038,30018703,31813745,24298265,17915505,17915503,19166880,25816368,25816465,19166962,19166965,16455676,11465551,11465552,16455724,13686773,9373131,9373130,13686769,19166773,25816252,23215834,23215835,27049470,25816264,19166785,13686779,13686780,16943698,23215868,19162206,19162207,16943080,16943079,23215114,22646431,16455736,16455738,18533247,25076035,30018637,25816425,25816424,33616309,30018742,22646387,22646386,23213819,16942029,16942028,22963061,22963060,24299761,22646359,22646360,20156612,20156613,16455721,11465548,7626284,4825027,2907578,2907579,4825032,7626292,11465561,16455742,22646438,30018815,30018768,30018767,30639058,23215844,16943666,11858496,7925260,7925258,11858494,16455692,11465535,11465536,16455698,16942055,22468129,16299921,16299922,22468134,22646393,22646394,23215285,23215284,30018790,38591287,30639018,23215802,23215803,20156620,14460092,14460093,20156625,27049491,30018715,30364914,35135163,30018690,22646339,16455671,11465525,7626272,7626273,11465527,256968163,59899913 Dl.O(d2) = 258693119,256336667,28825674,37365893,268923875,37365890,47275884,58667489,257458029,37365889,28825671,28825669,21554938,15534686,10743601,254504443,2685211,254336865,7098250,10743606,15534691,21554949,28825686,37365909,37365895,37365896,47275893,58667500,71402016,58667482,47275880,37365886,255844649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11152871, s2 = 11215646, dlinesl.size( ) = 24 s1 = 14068502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155181, s2 = 16295349, int(edited[s2]) = 0 s1 = 11155181, s2 = 16295349, d1 = 25, d2 = 27 Dl.O(d1) = 255520190,36792575,29541061,22197705,16068744,11307375,11307377,11158278,7507438,4745614,2860043,1659965,1659962,2860035,4675471,2816686,1634070,1634069,2816683,4675465,7401150,11158433,16069790,17474147,12320110,8321622,5369648,3301051,1941524,1941525,3301056,5330919,5330918,8262761,12236829,16254126,11300629,7502734,7502733,11300627,16254123,22124901,16010621,16010622,22124903,29459167,29786402,38358152,39939511,31264549,23779258,23779256,255588177,17815046,255629807,16203941,16203940,22355472,268405911,22420374,22420646,22420623,16779109,16779108,23019661,29710470,22355326,16203829,11264170,11264172,16203836,13028644,8871733,5784183,5784182,8871731,13028641,16076778,16076776,11731428,7832153,4971637,4971638,7832158,11731438,16778928,15214011,10494575,6920203,6920201,10494573,15214008,21172974,16597123,15691777 Dl.O(d2) = 16254898,16254895,11302251,11302252,15889542,13107231,13107233,16204229,11264436,11264440,16204239,22197953,22197954,22355519,16203971,12532726,12532727,17716126,16376456,16203880,16203879,17603961,17603962,23019126,22355223,16275032,11316952,11263684,11263685,16203142,13028746,8871800,8871801,13028753,17638059,12462241,12425888,12425886,11915960,11915961,12298158,17446588,22198306,16255786,16255783,17473053,16254395,11300816,11300819,16254408,18352125,22420283,16254821,16254823,16777884,16256262,11302138,11302140,13028939,18352065,24848105,254680126,15996880,15996881,18351586,24847645,32489879,34566274,29454152,22120053,16006394,16006393,17637933,12462152,12462154,255575079,21847189,15776733,15776735,21847190,29155904,21847166,21847167,254904172,12462177,17637968,23805643,23805642,31291812,38358252,40280614,31596460,24092982,17735189,12548350,8507637,7831941,4971522,4971523,7831942,11731069,16778402,23018884,30423953,39013052,36619709,28145871,20967504,15057806,267958697,4293779,2567130,1478112,1478116,2566954,4092860,4300140,6852194,255372969,28164722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155181, s2 = 16295349, dlinesl.size( ) = 24 s1 = 15402582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15402582, s2 = 14245499, int(edited[s2]) = 0 s1 = 15402582, s2 = 14245499, d1 = 11, d2 = 5 Dl.O(d1) = 255360512,28025948,28025943,28025944,36488126,46345325,57693963,55343724,44497396,35119946,27033010,20140176,14446144,9938243,9938242,14446143,20140173,16084158,11170232,8370986,5402506,3321617,3321618,3321664,1953790,1953792,3321670,4682068,7409853,11169100,16082853,22214483,17574495,12402631,8381984,8381983,12402629,8382088,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,4584439,7269582,10982569,15847340,21934924,16297105,16297106,22465312,29832417,38404426,48315105,44828393,35402694,35402695,268601282,55736130,258008442,257568142,256987282,102455055,88451455,255117546,50529135,40493480,37836998,37836999,267896026,58287440,46921542,37043590,28544348,21320854,15350047,10604043,10604041,15350044,16273034,22441016,29807417,38379250,48289936,53238788,257208268 Dl.O(d2) = 19284632,13786015,9452107,6196875,3878509,3878510,6196877,9452111,9452108,9452109,255288753,19284656,25948774,30147647,22760573,22760574,255264766,6183938,3869880,2317801,1343954,1343952,1344221,767228,767230,1344190,2317507,3869168,254431118,13764486,19260216,25922100,256080710,30266280,22869727,22869728,17785431,12587972,12587973,17785433,24152668,28105127,22887858,16659080,11626599,11626598,16411773,16575961,16575962,13346428,13346426,18746507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15402582, s2 = 14245499, dlinesl.size( ) = 2 s1 = 15402582, s2 = 14245499, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15402582, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14245500, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15604022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15604022, s2 = 13402666, int(edited[s2]) = 0 s1 = 15604022, s2 = 13402666, d1 = 0, d2 = 0 Dl.O(d1) = 164378874,152614549,139906515,126543006,112680060,98685354,98685353,112680058,112554000,98560114,84636590,71073714,58357464,58357465,71073715,84636592,84616085,84616084,84636589,255981764,60743829,60743828,73492816,85816314,85816315,257609736,72415449,86012034,99971594,113995382,112905130,112905131,126757696,270449938,115675202,101634064,101634063,102513941,101634060,87666536,74062774,61283384,57980936,46603830,36715704,36715707,46603833,49411411,60811818,49411449,39481633,30876393,30876394,39481635,49411452,47109354,39481567,39481474,39481475,37053440,28553182,28553181,37053436,28553189,21328182,21328183,28553174,37053424,46931789,58297871,55227898,55227899,67570989,81039874,256326728,46931790,46657206,36772123,28276457,21072575,21072576,256295061,26917421,20032953,20032952,256212861,44377217,53488375,53488374,65511811,58387057,47085422,37189869,37189868,47085419,58387076,51345698,41160761,32346234,24730701,24730702,32346239,28617174,28617173,37128656,47015968,58029671,46657208,36772125,36772126,46657209,44377219,257303755,47085335,58463492,71185537,71185539,71185538,84754238,75998535,75998536,258445186,41148811,32333703,24717607,256079581,41148813,51334106,63015080,65047766,53064639,53064637,42616779,33592745,33592744,42616776,53064632,65047738,53064617,53064616,65047732,78327678,73558238,60811904,60811903,73558235,63015063,51334093,41148805,41148806,51334095,60811632,49411133,49411132,60811629,65047762,60157125,48763357,38843765,38843766,48763361,43010219,33953454,26116586,26116585,33953452,43010216,53488395,49411590,49411589,60811898,65511972,78844178,76009349,76009348,89786603,78844193,73558270,258177774,39481770,30876488,23446356,23446306,23446307,30876430,30876493,30876495,39481366,30876170,23446122,17170922,12073282,12073283,17170924,23446127,19423502,19423501,26116760,19423506,13897046,13897045,19423503,23446082,23446081,23446083,23446084,30876132,39481322,256691252,33953842,30876119,30876115,23446073,19423400,13896947,13896946,19423396,19151146,19151145,13675147,9364967,6134369,3837884,3837885,3916292,3916291,6255971,9364974,9364972,13675152,19151158,16707195,255343636,9286853,6083690,6021968,254922887,13563997,13897225,19423703,19423671,13897181,9536501,6256116,3916390,2344260,2344259,3916383,6256110,9536485,9536429,9536428,13897095,13896586,9536015,6255799,3916185,3916182,6255794,5973403,5973402,9128089,13356689,18757737,22142062,23556947,18076974,18076975,21445883,17247845,17247846,23557019,31039131,39716597,49735203,44571346,35193302,27104217,27104218,35193305,256354046,47956185,47956186,55418472,55418471,67758489,61530094,61530093,74307694,85667258,72080993,66877990,54620131,54620132,66877993,71500245,58770878,47383820,37476440,37476442,47383824,58770886,59347429,59347428,58770875,58770874,71500241,85072281,85174147,71609438,58889576,58889575,58889571,58889570,59372268,72104809,85690577,72104812,59372274,47982154,38069908,29830966,255730312,16295281,22463534,29830964,38403140,257535105,257824464,47982020,47982019,48547162,48547161,258160891,259409670,76062335,63067490,51379308,51379307,61580616,50100720,50100721,61580618,51379350,41189216,32370897,24752544,18277912,18277911,24752543,32370894,41189210,51379340,63067512,76062346,72225143,59489593,59489592,48314049,48314050,59700930,49015694,39086284,257004349,60419305,73165843,86034642,72436743,72436742,76062316,63067455,51379334,41189202,40080063,40080062,50100728,61580629,74357400,72679267,72679268,86278756,72679281,59939960,59939959,66852375,54593322,54593321,66852371,73167399,60420624,60420625,73167400,86278717,74777415,61981147,61981129,50488997,50488996,255929420,33230428,31758048,24246167,17869584,255592107,31758049,40452829,40452778,31757998,31757997,40452775,50488944,48194943,38285793,38285792,256841742,42192695,37843871,29276965,29276963,32853888,41774658,40452856,268410556 Dl.O(d2) = 164378874,152614549,139906515,126543006,112680060,98685354,98685353,112680058,112554000,98560114,84636590,71073714,58357464,58357465,71073715,84636592,84616085,84616084,84636589,255981764,60743829,60743828,73492816,85816314,85816315,257609736,72415449,86012034,99971594,113995382,112905130,112905131,126757696,270449938,115675202,101634064,101634063,102513941,101634060,87666536,74062774,61283384,57980936,46603830,36715704,36715707,46603833,49411411,60811818,49411449,39481633,30876393,30876394,39481635,49411452,47109354,39481567,39481474,39481475,37053440,28553182,28553181,37053436,28553189,21328182,21328183,28553174,37053424,46931789,58297871,55227898,55227899,67570989,81039874,256326728,46931790,46657206,36772123,28276457,21072575,21072576,256295061,26917421,20032953,20032952,256212861,44377217,53488375,53488374,65511811,58387057,47085422,37189869,37189868,47085419,58387076,51345698,41160761,32346234,24730701,24730702,32346239,28617174,28617173,37128656,47015968,58029671,46657208,36772125,36772126,46657209,44377219,257303755,47085335,58463492,71185537,71185539,71185538,84754238,75998535,75998536,258445186,41148811,32333703,24717607,256079581,41148813,51334106,63015080,65047766,53064639,53064637,42616779,33592745,33592744,42616776,53064632,65047738,53064617,53064616,65047732,78327678,73558238,60811904,60811903,73558235,63015063,51334093,41148805,41148806,51334095,60811632,49411133,49411132,60811629,65047762,60157125,48763357,38843765,38843766,48763361,43010219,33953454,26116586,26116585,33953452,43010216,53488395,49411590,49411589,60811898,65511972,78844178,76009349,76009348,89786603,78844193,73558270,258177774,39481770,30876488,23446356,23446306,23446307,30876430,30876493,30876495,39481366,30876170,23446122,17170922,12073282,12073283,17170924,23446127,19423502,19423501,26116760,19423506,13897046,13897045,19423503,23446082,23446081,23446083,23446084,30876132,39481322,256691252,33953842,30876119,30876115,23446073,19423400,13896947,13896946,19423396,19151146,19151145,13675147,9364967,6134369,3837884,3837885,3916292,3916291,6255971,9364974,9364972,13675152,19151158,16707195,255343636,9286853,6083690,6021968,254922887,13563997,13897225,19423703,19423671,13897181,9536501,6256116,3916390,2344260,2344259,3916383,6256110,9536485,9536429,9536428,13897095,13896586,9536015,6255799,3916185,3916182,6255794,5973403,5973402,9128089,13356689,18757737,22142062,23556947,18076974,18076975,21445883,17247845,17247846,23557019,31039131,39716597,49735203,44571346,35193302,27104217,27104218,35193305,256354046,47956185,47956186,55418472,55418471,67758489,61530094,61530093,74307694,85667258,72080993,66877990,54620131,54620132,66877993,71500245,58770878,47383820,37476440,37476442,47383824,58770886,59347429,59347428,58770875,58770874,71500241,85072281,85174147,71609438,58889576,58889575,58889571,58889570,59372268,72104809,85690577,72104812,59372274,47982154,38069908,29830966,255730312,16295281,22463534,29830964,38403140,257535105,257824464,47982020,47982019,48547162,48547161,258160891,259409670,76062335,63067490,51379308,51379307,61580616,50100720,50100721,61580618,51379350,41189216,32370897,24752544,18277912,18277911,24752543,32370894,41189210,51379340,63067512,76062346,72225143,59489593,59489592,48314049,48314050,59700930,49015694,39086284,257004349,60419305,73165843,86034642,72436743,72436742,76062316,63067455,51379334,41189202,40080063,40080062,50100728,61580629,74357400,72679267,72679268,86278756,72679281,59939960,59939959,66852375,54593322,54593321,66852371,73167399,60420624,60420625,73167400,86278717,74777415,61981147,61981129,50488997,50488996,255929420,33230428,31758048,24246167,17869584,255592107,31758049,40452829,40452778,31757998,31757997,40452775,50488944,48194943,38285793,38285792,256841742,42192695,37843871,29276965,29276963,32853888,41774658,40452856,268410556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15604022, s2 = 13402666, dlinesl.size( ) = 2 s1 = 15604022, s2 = 13402666, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 15604022, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 14069988, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14070112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14070112, s2 = 15241716, int(edited[s2]) = 0 s1 = 14070112, s2 = 15241716, d1 = 7, d2 = 2 Dl.O(d1) = 51654928,41413344,41413343,51654927,55271364,47407732,37500221,28957309,28957308,32554493,24904235,24904234,32554491,41413352,37500170,31700843,31700842,256755740,31700827,24192828,17823633,12619673,12619674,255198865,12619668,17823653,24192860,255588775,17823626,24192816,31700809,256548075,24192869,24192868,31700812,31700813,40393262,50426847,61917064,74710579,88338628,85565589,71978321,269333772,47843876,59240771,270301121,71524045,85095950,99020995,99512623,85565608,71978335,71978336,61917142,61917141,74710650,74710583,74710584,259536157,259465980,102335378,88338636,74710588,61917073,61917072,270917097,259357688,85565602,99512618,88338652,74710600,74710599,88338650,102335398 Dl.O(d2) = 259975917,261153197,272852871,262366160,167732642,167732639,156129108,143594161,130266298,116428986,102335385,88338639,88338640,259945268,88338656,88338655,270917099,116429011,116429004,259326216,259536159,258288741,61917076,74710593,88338646,102335393,116429000,260576096,113524261,116429008,130266315,143594172,262366167,167732637,156129106,262366162,173663273,162641341,153430922,140750363,140750364,153430924,156129110,261673682,116428991,102335388,88338642,88338643,102335391,116428996,261060848,261225849,130266307,143594165,143594159,141830767,141830768,260747747,116428987,130266299,128478082,118620410,104436032,104436033,118620412,260481814,259945270,258699954,61917084,50426867,50426868,61917087,74710612,88338667,102335410,116429016,104436028,90285051,258634462,114314318,258009996,138838733,145707537,145707538,258634454,257399162,97778848,268599112,256272932,97778844,111700665,114314320,100283954,100283955,269765386,270276028,101617811,101617812,111703871,270272498,111700662,97778842,83920548,70394453,70394452,83920547,86321864,255794462,59987111,59987115,48595228,38678861,38678860,48595225,48595221,255360892,46351325,57700507,70394455,83920550,97778852,101805427,87831410,74226510,74226509,61447088,49969302,39952562,39952563,49969305,57700509,46351328,36493562,36493563,46351330,57700511,70394460,58885101,58885102,51667658,41425569,41425568,51667656,63410943,70394458,71604597,255794464,48595230,48595232,59987120,61494583,256852878,49969290,39952551,31277584,23791775,23791776,21406422,255832685,36493772,46351593,57700789,268673752,51052020,40910366,40910367,255546162,23791780,256516215,49969300,47506128,47506127,58885098,61512240,50033997,50033996,270385447,62682481,75627130,77278426,64130064,64130063,258009994,58885096,259334541,113079382,109802677,95600300,88472873,74839238,257919082,40514145,255752530,44769303,55678166,257319738,77278437,64130070,52280174,52280175,64130072,77278439,91198663,105421309,101004001,101003999,91198672,258386703,52280192,256628209,32999728,41940925,32999724,32999725,41940935,52280184,64130079,77278454,74226507,74226506,87831405,74710565,61917059,257771983,41940920,257182791,64130066,77278432,64130080,270507577,119658712,115075163,101004014,101004012,101004011,260074325,113524234,99512595,85565569,85565567,271328616,85565540,71978276,59240727,47843848,47843847,49379419,49379420,60780620,258842909,97995268,99043292,85118294,256306146,47432331,37524784,37524783,47432328,46583847,256826874,256827715,57960268,57881560,46525467,36657851,28181323,255011956,10403663,10403661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14070112, s2 = 15241716, dlinesl.size( ) = 2 s1 = 14070112, s2 = 15241716, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14070112, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 15241715, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12265602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11162841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162841, s2 = 11188746, int(edited[s2]) = 0 s1 = 11162841, s2 = 11188746, d1 = 25, d2 = 33 Dl.O(d1) = 52306157,41965762,33023044,33023043 Dl.O(d2) = 13328070,254644777,3726483,3726481,5958804,7297030,7297028,9255404,9255405,13524125,15472456,10699036,8362564,6050236,6050240,6059837,9237841,9237859,13502128,9256491,6062335,6062338,6945320,10531266,11915061,11245071,11245069,10569322,6971312,4379514,4379513,6971306,10569305,15305381,21267010,17149817,12053294,12053295,12376337,15846784,13531087,9261352,9247893,6056633,6056634,9247895,8116138,5199617,3172181,3172180,255151569 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162841, s2 = 11188746, dlinesl.size( ) = 34 s1 = 16295350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16295350, s2 = 11155182, int(edited[s2]) = 0 s1 = 16295350, s2 = 11155182, d1 = 24, d2 = 9 Dl.O(d1) = 52337610,255372968,25326315,27284054,27284053,20826306,20826308,21406800,28649103,24318152,267958696,8632352,8632354,12705603,17931672,23554911,31036627,39713863,43837858,46951880,37071985,28569273,21341619,21341618,28569272,29876533,22519600,22519601,17079532,11992079,8043910,5134152,3121519,3121520,5134154,8043914,254904173,8956469,13141266,18496917,25028945,32714750,41620052,38654738,255575078,37251738,31798439,24284414,17903639,17903640,24284417,22485673,22485674,26576575,23346658,17079836,11992370,8044098,254680127,4017817,2407606,1393111,792214,792212,1393073,1393068,2407510,4017659,6403538,9737516,14163510,14164595,19775508,26577371,26578757,34565400,31585429,24079556,17722355,17079429,17079428,21375241,21375240,23335113,29314857,26575814,19773577,14163404,14163403,19773570,17077779,17077778,11992145,8043953,5134174,5134175,8043958,11992159,17079613,17079615,23343745,17077636,14165333,14165334,17724049,17077825,11991096,8043352,5133880,3121366,1824365,1041379,1041382,1824377,3121387,5133926,8043442,11991250,17078090,22485563,16313521,16313523,22485574,19429705,13901950,13901949,9740529,9740531,14168592,19773668,14163464,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018743,23018772,23018774,19774278,19774279,24139679,30767088,30767085,26579355,23451391,23344055,17077854,17077851,17077991,22447908,19773787,14163530,14163531,19773788,19776739,19774376,14163875 Dl.O(d2) = 9738188,14164750,19775753,26578539,26578537,34565049,34565050,34572210,34566009,34566010,268405910,34565196,34565195,34565844,255629806,39371201,255588176,23347802,23347803,30770959,39371516,39371100,39371101,37981311,29418386,22087858,22087857,29418383,37981306,39371335,30770729,30770730,39370551,30769865,30769866,39370552,37882679,29313805,23164394,23164393,30582115,39179805,33608311,33608312,42633657,48281249,48281248,43391738,34292202,34292201,38369801,31293002,23807437,23164202,16901755,16901756,11828043,7904534,5024546,3041313,1771066,1009337,1009336,1771060,3041298,5024509,7904463,11827905,255520191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16295350, s2 = 11155182, dlinesl.size( ) = 28 s1 = 11858301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11858301, s2 = 12833031, int(edited[s2]) = 0 s1 = 11858301, s2 = 12833031, d1 = 2, d2 = 3 Dl.O(d1) = 77498632 Dl.O(d2) = 99390042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11858301, s2 = 12833031, dlinesl.size( ) = 2 s1 = 11858301, s2 = 12833031, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 11858301, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 6608017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6608017, s2 = 14684758, int(edited[s2]) = 0 s1 = 6608017, s2 = 14684758, d1 = 31, d2 = 25 Dl.O(d1) = 256489603 Dl.O(d2) = 194588935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6608017, s2 = 14684758, dlinesl.size( ) = 38 s1 = 15241767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12266336, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14071644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328863, s2 = 12800573, int(edited[s2]) = 0 s1 = 11328863, s2 = 12800573, d1 = 21, d2 = 5 Dl.O(d1) = 139824422 Dl.O(d2) = 38130682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328863, s2 = 12800573, dlinesl.size( ) = 20 s1 = 11859943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12266658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14072322, s2 = 11126872, int(edited[s2]) = 0 s1 = 14072322, s2 = 11126872, d1 = 13, d2 = 5 Dl.O(d1) = 256619524,20093142,20093143,20093145,14406027,267927526,6512361,6886103,6886102,10445816,11313908,7512252,7512251,7512335,7512334,10639214,10639212,11314226,7512427,254345574,16271448,19856903,19856902,268539353,256370992,256913397,59172433,71910356,85495331,99436886,260570641,140643382,272851278,127297434,272549680,113438785,99436882,85495328,71910354,59172432,59172433,71910356,85495331,99436886,113438787 Dl.O(d2) = 185357523,263132184,153322337,140643381,127297437,113438786,260189948,272361561,257125596,41686193,41686194,51997565,256065396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14072322, s2 = 11126872, dlinesl.size( ) = 12 s1 = 11860263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9147555, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14245980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11172803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14245995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14245995, s2 = 3865957, int(edited[s2]) = 0 s1 = 14245995, s2 = 3865957, d1 = 9, d2 = 28 Dl.O(d1) = 21130666 Dl.O(d2) = 139496301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14245995, s2 = 3865957, dlinesl.size( ) = 28 s1 = 14259129, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14194626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14194626, s2 = 6708619, int(edited[s2]) = 0 s1 = 14194626, s2 = 6708619, d1 = 20, d2 = 18 Dl.O(d1) = 84771948,84771974,71202601,71202600,71202721,58480595,58480594,71202719,84772075,84771965,71202596,58480497,47102079,47102078,58480495,58480586,58480588,58480508,58480507,58480504,58480503,257446345,37205555,28681950,268614183,37205547,28681946,21432576,255035651,10673387,15438776,21432578,268614181,47102110,58480528,71202637,259308265,58480568,47102132,256326171,21432584,15438779,15438778,21432582,28681954,37205562,257446347,71202685,71202643,58480537,47102104,47102103,58480535 Dl.O(d2) = 257575467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14194626, s2 = 6708619, dlinesl.size( ) = 2 s1 = 14194626, s2 = 6708619, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 14194626, Dl.E( ) = 28, 1.19e-05 seconds used appending s1 = 6553432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6553432, s2 = 11176316, int(edited[s2]) = 0 s1 = 6553432, s2 = 11176316, d1 = 5, d2 = 8 Dl.O(d1) = 255896159,257014464,61877212,60079067,48682800,48682799,54663756,54663757,256469782,40092407,31412639,23923059,23923060,31412641,40092410,50112918 Dl.O(d2) = 57802254,57802255,46446650,36581179,36581178,46446648,256469780,30619950,256469765,49143687,257452716,50112918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11862465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12267896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12267896, s2 = 6911698, int(edited[s2]) = 0 s1 = 12267896, s2 = 6911698, d1 = 13, d2 = 14 Dl.O(d1) = 101005067 Dl.O(d2) = 258700820,142378845,155026403,142378847,142378848,155026405,142378850,142378849,129003135,129003134,115076277,115076276,101005077,256885934,60649460,60649459,73395864,87011418,101005069,115076275,115076277,115076276,101005077,256885934,60649460,49248987,39322397,255418428,29448441,22114872,22114875,29448448,25409543,18818714,13406798,13406797,18818712,25409538,33150035,41654668,32744551,25053883,25053884,22808460,22808459,22807885,16590547,11570378,11570379,16590582,17045179,23306268,22114671,16002147,268082454,7368148,11109419,255449745,29448199,38010469,255912830,72052897,85640270,99590333,113605618,127479921,260008442,165310702,176005156 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178329, s2 = 11224492, int(edited[s2]) = 0 s1 = 11178329, s2 = 11224492, d1 = 20, d2 = 29 Dl.O(d1) = 255056986,127178988,140525775,153208134 Dl.O(d2) = 261686268,212857334,263264712,272616892,271421088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178329, s2 = 11224492, dlinesl.size( ) = 18 s1 = 15303886, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15303886, s2 = 11064628, int(edited[s2]) = 0 s1 = 15303886, s2 = 11064628, d1 = 36, d2 = 34 Dl.O(d1) = 7132892,254760411,7316323,8456743,8456744,11723699,11041510,11041509,8183455,5253095,3209995,3209996,5253097,8183457,7915343,5031877,3046080,3046083,3446136,2040442,2040441,3446132,5219163,3256667,3256666,5306489,3260758,1916020,1094307,1094308,1916026,3195527,1915042,1873110,1873113,3199539,2998199,1741303,1741305,2998211,1894492,1894488,1877861,1079553,1075548,604212,604213,1075561,1885246,3204470,3204469,5203211,4625205,4625206,7324218,11048998,11032853,7307533,4624899,4624900,7306943,7306942,7328648,254348569,1618105,254348571,4627811,7305015,7831491,4971247,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,5300724,5016884,3034870,1766376,1006502,1006503,1766378,3034875,5016893,7895968,8198929,5282114,3235364,1897929,1083295,608391,338557,338558,608394,1083303,1897953,3207824,1897907,1897909,3235326,3235288,1897890,1897889,1612598,917390,917391,1612603,2779829,2786799,2786801,4621761,4621748,3235483,3235482,5282262,8211169,11722298,11722299,11111311,11111312,10799751,7135707,7135706,10799748,8153734,5224636,5224637,7314182,4967544,3000313,1742384,1742386,3000315,4967548,5219444,5219445,8147430,11722341,7826922,7826923,8154003,7826458,4967672,3000405,2999366,2999369,3220369,1887213,1076751,604790,604786,1076736,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925174,925176,1627006,2804651,3203397,3203394,4492591,4492589,5244832,5267263,3221980,3203314,3203315,5244732,5308632,5308633,8167143,8167142,7316886,254357700,1871312,1871313,3196780,5236855,8152745,11723112,8153952,267977270,5461077,5461078,267831230,254781676,15815128,17654523,17312921,12188483,8218796,5288790,5288792,4961505,4960680,4676423,4676424,5341206,8278168,11159402,11159403,11719587,11719588,7928531,5040057,3051315,1777538,1013462,571277,320032,177109,177107,320025,571259,1013432,1777590,1088389,611081,339906,186582,186583,339911,611093,1088423,1906438,3247657,4831896,5276412,3230614,3230613,5276410,5296540,3247492,3247493,5296543,8225747,5296314,3247297,1906310,1088349,1088347,1087091,1087093,1904233,3244501,5293241,4735692,4735693,7492285,4736350,3255826,1912569,1912570,2851920,1654850,941561,254167141,1894201,1081131,1081130,1085496,1085495,1085325,1085324,1901382,1905489,1905490,3217869,1885452,1075725,1075729,1077642,1077640,1093874,614152,614154,988849,1740078,1740354,1740357,1889631,1889629,1086394,610002,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903470,3223522,1894382,1894379,1909003,1090063,1087352,1087353,1904650,1914500,1922711,1098427,1098424,1922696,3204514,1876468,1070485,1070484,1876466,3198444,1872327,1067970,1067971,1872332,1908196,1907277,1907278,1907893,1907892,1095062,1095065,1095079,614757,614755,1095099,1067201,599838,599842,254180357,3196106,3231236,1894978,1081520,1081521,1894983,3196336,1871050,1871051,3196337,5236335,3252454,3252456,5268756,3234532,3234531,3235085,5281219,3234507,3234506,5281216,8208829,5279848,3233345,1896532,1896533,3233346,3198783,1872548,1872549,2788464,2788463,4628938,4962066,5235436,3195637,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884651,3205670,1877237,1877239,3205679,1883225,1074414,603619,603621,1074419,1883240,2941946,1706126,1610439,1610438,2776129,267888293,3204102,5245710,8176107,11399782,7577382,7570608,4787803,3294519,1937620,1106762,1106760,1650499,254237883 Dl.O(d2) = 258160479,268954743,22676446,268091393,4831329,4831328,3236711,3236712,4575286,4575287,7254707,5271639,3226086,3226088,4491323,4491324,7133734,8301503,10796854,10796853,15606099,15606106,12192873,8223185,5293411,3244653,3244652,5293406,8223178,12192863,17317665,15604917,10795899,7132973,4490767,4490766,7132970,7798848,11693550,16737299,268227163,16267965,21636507,15604647,15604648,15604709,11332737,11332736,15603974,11310244,11310245,7988665,5084558,5084559,7988667,254638898,7164037,5099509,5099512,7712154,7163422,5099629,3095342,2861541,2861542,1705429,969441,969442,1705435,2940977,4513623,4513622,4747310,4747312,4683727,2821972,2821973,4683733,7164874,4668779,2861113,1660500,1660498,2861104,4747548,4683407,4683406,4682811,4682809,7411044,7163533,4511748,4511747,7163532,10836309,10836308,7711924,7510279,4747294,2860955,2860952,4747284,7510257,11311628,10838623,10838624,11172205,11966170,10838845,10838844,15657861,15656949,15656950,10837828,10837825,7510072,7510071,11311398,10836659,8197416,8197415,12166098,10836710,7163411,4511678,4511676,7163404,10836695,7510063,4747155,2860882,1660375,944760,944761,1660380,2860893,4747174,7510099,11311445,10838872,10838873,12134628,12134627,255416501,15609060,15919491,15919492,17292748,16085655,11312427,11312430,12193527,12193528,255941249,29356893,22217157,22217158,29562556,22832944,17648804,17648805,21638708,17461002,17461001,12473369,8442850,8442851,12473372,8448055,5456455,5456454,8448053,12213553,8244034,5315705,3264934,3264936,5315707,5394438,8298883,5353737,5353736,8298881,12288373,17434159,17337304,17337303,256008777,12288444,8298937,8298938,11817649,268088552,3211305,5254924,4611443,2781127,2781129,4618684,7316229,11041605,11041937,11041152,7315450,4617836,2780609,1613022,917589,917590,1613024,918263,918264,1614398,1613063,1613064,2780688,4617965,4968319,7827244,7315446,4617831,254263189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15303886, s2 = 11064628, dlinesl.size( ) = 20 s1 = 14100711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100711, s2 = 16188544, int(edited[s2]) = 0 s1 = 14100711, s2 = 16188544, d1 = 23, d2 = 0 Dl.O(d1) = 260502835 Dl.O(d2) = 40070135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100711, s2 = 16188544, dlinesl.size( ) = 30 s1 = 13476944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16303878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14246285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16215838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16215838, s2 = 15200383, int(edited[s2]) = 0 s1 = 16215838, s2 = 15200383, d1 = 1, d2 = 1 Dl.O(d1) = 72205864,59468175,59468174,72205824,71335728,58604228,48077396,48077395,59468110,50418719,40384229,40384228,39801400,31120903,23634438,23634437,31120901,39801397,49822246,61302043,257053158,101661865,115706022,259491878,115706020,258245044,87690218,74083207,74083208,87690219,101661864,115558879,101529441,101529440,87571628,73973402,73973403,61194925,61194924 Dl.O(d2) = 72205864,59468175,59468174,72205824,71335728,58604228,48077396,48077395,59468110,50418719,40384229,40384228,39801400,31120903,23634438,23634437,31120901,39801397,49822246,61302043,257053158,101661865,115706022,259491878,115706020,258245044,87690218,74083207,74083208,87690219,101661864,115558879,101529441,101529440,87571628,73973402,73973403,61194925,61194924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16215838, s2 = 15200383, dlinesl.size( ) = 2 s1 = 16215838, s2 = 15200383, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 16215838, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15200384, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16108514, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10998899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11184153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184153, s2 = 10711315, int(edited[s2]) = 0 s1 = 11184153, s2 = 10711315, d1 = 4, d2 = 3 Dl.O(d1) = 269359386,22867962,30264354,256121902,34269371,43367956,34268636,26392521,19658193,19658192,26392519,34268633,43367954,257192086,30264357,22867964,16640194,11608123 Dl.O(d2) = 71902955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184153, s2 = 10711315, dlinesl.size( ) = 14 s1 = 8089989, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15512245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11082527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082527, s2 = 11188360, int(edited[s2]) = 0 s1 = 11082527, s2 = 11188360, d1 = 9, d2 = 6 Dl.O(d1) = 268925155 Dl.O(d2) = 259493820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082527, s2 = 11188360, dlinesl.size( ) = 8 s1 = 14924414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14924414, s2 = 10980456, int(edited[s2]) = 0 s1 = 14924414, s2 = 10980456, d1 = 10, d2 = 6 Dl.O(d1) = 74173135,87778122,268683380,255574950,91304755 Dl.O(d2) = 254272610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14924414, s2 = 10980456, dlinesl.size( ) = 8 s1 = 11071139, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 2629860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14246582, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14924740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14924740, s2 = 11172990, int(edited[s2]) = 0 s1 = 14924740, s2 = 11172990, d1 = 36, d2 = 28 Dl.O(d1) = 257071739,31378840,40061586,50082986 Dl.O(d2) = 268441271,17532587,23877536,31372967,31378839,268996913,256636069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14924740, s2 = 11172990, dlinesl.size( ) = 12 s1 = 14183935, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11866919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13491018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15110894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2550643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2550643, s2 = 13733816, int(edited[s2]) = 0 s1 = 2550643, s2 = 13733816, d1 = 30, d2 = 37 Dl.O(d1) = 72281677,65767374,258470983,258132247,48160267,48160266 Dl.O(d2) = 256685621,26027754,33848437,42892908,258453325,259711563,121360518,135210473,135210474,135210475,148379280,262515173,181800943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2550643, s2 = 13733816, dlinesl.size( ) = 2 s1 = 2550643, s2 = 13733816, "passes" = passes Sat Dec 09 04:19:16 2017: s1 = 2550643, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 12545586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9336397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9336397, s2 = 14077997, int(edited[s2]) = 0 s1 = 9336397, s2 = 14077997, d1 = 9, d2 = 17 Dl.O(d1) = 13201592,13201593,18576797,25129550,32834781,29955692,22591566,22591565,25129341,25129340,25129208,25129206,32834242,41755236,47276142,47276144,47475290,255957362,47276154,47276153,42267899,33287790,25527439,18917872,18917873,25129277,255577200,52069183,53373705,43883860,43883859,54626271,49243214,39316142,39316143,38446888,29890339,22535743,22535742,18175046,254577002,8766506,12889473,18175053,24628357,32223216,41012419,257043086,62809618,75767077,89541877,103649985,117798729,131623205,144869223,157282779,168726169,176104683,165422341,153641193,140973829,127624126,113755413,99740942,85787123,72193095,59455275,48064108,38151327,29585273,22237586,16102427,255317838,29585272,38151324,48064107,53174143,42724473,268004378,46649119,46649120,58021935,70736512,74309815,61532405,258261009,87913660,101888042 Dl.O(d2) = 270992193,258348525,51424507,63121254,76126513,270472295,76126515,270992195,104061864,260814759,104061863,271301846,101888042,104061862,104061861,89932365,258348529,51424508,41227430,32403222,32403223,41227432,32403233,256595793,51424515,41227436,32403225,24779292,24779293,32403226,31353155,23859641,17516263,254850759,5386450,5386452,8345413,12352077,17516289,23859683,25960795,21154327,17516331,12352118,12352117,268255737,31165165,23676871,17356755,12227078,12227077,17356750,268291162,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911014,10482227,15197449,17516715,21153912,15198653,15198657,21153925,22141332,29478565,255854168,31288004,31164777,23676474,17356494,12226927,255164123,23676470,31164776,255694364,15198342,10482680,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151502,21153848,21153849,28370779,32978831,28367098,21150620,15196467,11860240,7926603,7926604,11860244,16946043,16946163,11860313,11860312,16946159,23218455,23218456,23675495,23675494,23218731,23218732,28025250,23220574,23219418,23219419,30642496,30645182,30644643,23222106,16949073,11862206,7927709,5039561,3051025,3051024,254561593,11860908,11860907,16947101,23219889,30642896,39240221,38395494,29823117,254819594,17357268,23677458,31164176,30645485,30645484,256012143,17469035,16945257,11859760,7926348,7926346,11859757,12316093,11859826,7926385,6819530,4277866,4277869,6819544,10355262,11860900,11860952,11860954,16945162,21151574,23220413,255138401,7927118,7927119,11861190,16945725,16945724,16666979,11632968,11632967,13184556,13184555,18555216,21314047,15343582,10598295,6992071,4394025,4394024,6992070,10598294,9127544,5973029,3735310,3735313,5973042,6764559,4239378,2534757,2534756,4129636,4129635,6591736,7776537,11666101,10598602,7034298,7034297,7052771,4543984,4543988,4439469,2666222,2633063,1520412,1520411,2464343,1424565,877229,865739,488492,274847,152014,152010,274874,489565,867911,1520361,2632963,4394026,6992073,255029427,21314051,28537038,37035262,29989937,23412587,23412588,24488631,24488630,30472080,39063764,48987157,44582853,35204487,27114153,268176985,9980362,254981991,256754723,39066176,30474223,23063992,16815242,11764988,11764987,16814616,11757962,11757965,7851835,4983776,4983690,3010389,3010392,4983705,7851639,10330855,15000579,20905502,28077980,36546112,257394427,268921341,28721716,28721715,37252606,39837882,31154982,255551491,12221614,8251440,5322913,3271382,3271383,5322920,8251450,12221630,17349168,13101286,8928706,8928705,9200034,9200035,13452938,18878138,23883844,25479904,25479901,18878029,13452860,13452859,9200043,9200042,13452957,255666117,13452871,13452870,18878046,256130287,42188946,49142723,60542516,258202719,49142708,49142709,47864395,47864394,59260270,49143077,49143078,59818861,59818862,72554114,73188782,71173021,71173023,58450807,47073687,37179885,37179884,47073684,52888783,60240838,255124270,59741662,67581966,81049728,74700396,61906766,50416249,50416248,59484090,48094779,38183093,38183094,48094781,58451055,58451056,71173167,71383147,71765457,59021498,47617626,47617625,48094803,59484107,71172994,60542913,49143224,49143223,60542908,72220823,59483984,48094662,48094663,59483987,72220825,78003591,71173094,58450864,47073744,37179930,28660450,28660451,37179917,37179916,47073731,37180064,28660540,21415807,21415808,28660545,37180071,33486227,25711528,19083823,19083822,25711524,33486221,42481893,48477823,38564486,38564487,48477825,59869528,52888431,52888433,42481964,42481963,52888553,52888647,53694746,48946831,39023997,39023996,38923362,38923363,33486266,25711549,19083835,19083828,19083826,25711535,33486236,28660648,21415866,21415822,21415821,28660569,256864901,257583036,33486294,33486295,38022111,256380968,16011328,16011325,22125767,29460166,38022049,29460133,22125753,22125752,29460132,25853834,19197447,19197446,25853830,33659405,42689922,38923411,30337102,30337101,38923409,40901559,32126198,32126196,40901556,51040719,44378050,44378051,37029432,29460249,22125820,16011351,16011353,22125826,29460255,34971262,26892041,26892040,34181113,32810885,25108420,25108421,32810889,40559044,38183164,38183163,42056808,42056809,47935765,47935766,47935675,38021955,32611298,24946641,18431922,18431923,24946647,32611311,37870494,29300892,21973716,21973719,22125726,29460076,38021966,47935684,53691082,51761665,257748597,51761418,41490925,40476314,40476311,50511534,257642130,46383532,46383531,38788641,30203884,22812563,16594514,11573491,7703627,7703628,11573498,16594534,22812584,30203916,29408643,29408642,30203842,30203840,37428312,28886274,28886277,28907096,28232068,28232067,36725806,38358568,38358567,48268983,38358640,29786985,22422210,22422211,28281515,21076539,15139542,10441818,6883688,6883687,10441812,15139528,19063931,19063930,25687850,268207735,15431320,21422521,28669156,256129402,31747447,40441993,50478661,61971626,74769070,269798228,270919059,116497677,271759792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9336397, s2 = 14077997, dlinesl.size( ) = 18 s1 = 11438951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317537, s2 = 11195630, int(edited[s2]) = 0 s1 = 11317537, s2 = 11195630, d1 = 7, d2 = 9 Dl.O(d1) = 259617909 Dl.O(d2) = 63578511,51792955,41515705,32630542,24961635,18443433,13101265,13101266,18443436,22226607,22226609,25480034,33228618,33228816,33107566,25372385,18787862,18787861,23667254,31155008,33228480,25480244,256130311,25480122,18878081,13452896,13452897,18878084,25479701,25479700,25479727,27280705,30618961,30619359,30619361,33228367,33228638,25480051,25480052,29303821,33228644,30618945,30618944,33228243,39216282,33228441,25479881,25479882,33228363,42188722,257791941,58381921,50556384,49142949,49142950,42188974,42188973,52547570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317537, s2 = 11195630, dlinesl.size( ) = 10 s1 = 11196469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196469, s2 = 14195667, int(edited[s2]) = 0 s1 = 11196469, s2 = 14195667, d1 = 12, d2 = 17 Dl.O(d1) = 257412149,36759882,257999847,36497512,31935997,31935998,40123214,50144278,61626064,59189310,47789178,37864671,29295397,21968734,255876717,29295384,258104969,268434242,268250082,15105223,10418410,6868023,6868027,10418417,15105237,21030365,17299105,12177267,8209012,8209013,12177271,17299116,21295558,16095472,11179345,11179349,16095479,16095409,16095405,14514773,14514772,255049330,17299343,23467450,17187456,17187457,23467452,27132954,35227113,39035663,31096582,25089279,18543990,18543991,25089281,32787132,37972112,37972113,30446195,30446197,254524714,28503363,30408930,25088418,18543324,18543325,18543763,13176091,8981687,5863852,3660900,2190326,1271205,1271204,2190323,3660891,5863830,8981645,255642247,32786654,29863293,22500950,16326762,11358720,7546613,4772897,4772899,4772901,7546620,11358733,16326781,22500977,29863333,38426726,46693104,36931837,28433091,268227162,11692971,7798546,4945406,4945405,7798543,7845528,11750453,16804138,15583491,15583489,21612672,28888622,37430306,47338332,58726855,71457127,257051146,37430306,257462093,48123465,38213218,38213220,48123466,59510985,59510996,48123473,48123474,59510997,72245542,59511021,48123494,48123483,38213238,29646661 Dl.O(d2) = 256397481,48123499,48123484,38213229,29646657,22294582,22294581,29646656,38213227,48123478,59511002,72245546,72245538,72245537,71457124,71457125,258774004,72245530,59510984,59510983,72245529,59510999,59510998,59511026,48123498,38213240,29646662,256397481,48123477,38213226,29646655,29646656,38213228,48123481,59509602,48122169,48122168,47338330,47338331,58726853,71457125,258774004,72245530,59510984,48123464,38213217,29646651,29646652,38213220,48123466,59510985,59510996,48123473,48123474,59510997,72245542,59511021,59511020,72245543,59511026,59511025,71457124,71457125,258774004,72245530,59510984,48123464,38213217,29646651,29646652,38213220,48123466,48123482,256397479,22294582,16149586,11219690,11219689,16149585,22294580,29646654,38213223,48123474,59510997,59511011,48123489,38213233,29646658,22294582,16149586,11219690,254528565,2833604,2833605,4703669,7444436,11219696,16149596,22294601,22294412,16149687,11219757,7444483,4703700,4703701,7444485,11219760,16149693,22293470,16148735,11219119,11219120,16148736,22293472,29645413,38211959,48122193,59509631,72244211,85836184,99788954,113802802,272210435,128819886,256524916,255567332,254852034,50084716,40063231,40063230,50084713,61564814,74342116,86892172,84869211,71294987,71294986,61743829,50265425,50265424,61743828,50265426,50265427,47173857,47173856,47254901,58647158,71382717,268681202,73991449,73991450,61212645,58695754,47305298,37395760,37395761,47305300,58695757,71428479,85001479,85001477,78537931,65247999,53258617,42805691,42805690,53258616,65247997,78537930,69157618,56604499,45484718,45484717,36692739,36692740,28202614,21010902,21010903,28202616,36692747,42304710,52691577,46579054,46579053,57955623,47788512,37864006,29294714,21967885,15874025,11002847,7283584,7283585,11002849,15874028,21967892,29294722,37864017,47788525,52305187,41964734,33021971,33021970,41964731,33021991,268292427,13327013,9105946,5958309,3726221,2231014,1293857,1293856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196469, s2 = 14195667, dlinesl.size( ) = 14 s1 = 14926964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11198525, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12270920, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16399690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14045727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11315980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15111848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15111848, s2 = 6850037, int(edited[s2]) = 0 s1 = 15111848, s2 = 6850037, d1 = 10, d2 = 16 Dl.O(d1) = 255296082,256173126,63706830,257843272 Dl.O(d2) = 259263012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15111848, s2 = 6850037, dlinesl.size( ) = 30 s1 = 6629068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14246946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14246946, s2 = 13586730, int(edited[s2]) = 0 s1 = 14246946, s2 = 13586730, d1 = 0, d2 = 0 Dl.O(d1) = 48795342,269325868,77868599,70544268,57842308,46486175,36619710,28145871,20967504,18629795,18629796,19454172,255055512,29100855,29100858,37649804,47555044,58936755,71658103,77307393,64159327,52308072,52308071,42364231,42364232,52763782,257477892,41967609,33024608,25298195,25298196,33024614,41967617,46873097,36994321,36994322,46873101,53027031,47243407,41967628,33024622,25298200,18723649,13328877,255252425,25298201,33024625,38108779,38108778,48018848,46873050,37649801,29100857,29100858,37649804,47555044,58936755,71658103,77307393,64159327,52308072,52308071,42364231,42364232,52763782,257477892,41967609,33024608,25298195,25298196,33024614,41967617,46873097,36994321,36994322,46873101,42587154,42587152,53027027,65001777,72323383,59588858,48202387,48202385,59588854,64678624,64678623,63446661,51697129,51697130,46873063,36994301,36994300,269072631,41967617,46873097,36994321,36994322,46873101,53027031,47243407,41967628,41967627,46873064,58240681,60192097,256991371,22889344,16660348,16660347,22889342,30287177,38872917,48795340,60192082,64678623,63446661,63446660,65001782,53027034,47350501,37443893,28904612,28904611,37443891,47350497,38124101,29558580,22213215,16081798,11168354,7409342,4681756,2820827,1636528,1636527,2820822,254526261,255079955,22213283,256390395,27254463,27254462,27254464,27254465,22213282,16081840,16081841,255894261,38124201,256545128,44541889,44541890,55389185,51106211,40964309,32185006,32185007,256038412,48479585,38566110,38566111,257546679,59511565,256972124,48479593,270322167,268955270,48479592,59871459,258779591,100169899,99790729,99790728,91248457,77328708,64181351,52330995,41991395,257186921,44602752,41989202,33045591,33045590,41989192,41989204,33045592,25317632,18739831,13340586,255253503,25317616,18739823,18739824,25317620,25317629,33045588,41989199,35398061,27271586,20335899,20335898,268066298,44823715,43850247,34578375,26592889,22715576,16511210,11506351,7654259,4843139,4843140,7654262,254192176,22715593,30097405,24147475,24147474,18932323,13496961,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017638,3417532,5531981,5876141,3668961,3668966,5876150,9000601,13202931,17738978,17738979,24097609,24196159,17826953,12622386,8568552,5564162,3447794,3447793,5564139,8568496,8561269,5558474,3450842,2044315,2044313,3450833,5549772,3456816,3456812,5572647,8536535,8536532,8511733,8511731,12554094,17742760,12639931,12639930,16547908,14399125,9904198,9904200,8528586,8528585,12574827,254137920,26649344,254277008,17824980,24194227,31701978,39164517,40370704,31676622,31664364,24154086,24154087,31664366,31616461,24111368,24111369,254559810,24187920,31198419,24896956,18394656,18394655,18237761,18237762,24709198,32324002,255425142,20036119,15702819,10870311,10870308,15702814,21757572,24709208,18237768,12936651,8800992,8800993,12936652,18237772,24709219,22786282,255112667,11551554,16570498,22786287,30174997,38757957,33205091,268296935,18858466,256644553,257561325,60075922,72813263,86408404,87752613,74148400,74148399,87752612,101725156,270597692,99480362,99480361,259108740,58222348,46854568,36975984,36975983,46854566,47813225,37891417,29323492,255067318,47813227,59211821,59211822,71950789,85538964,99485776,113497047,127367339,140724192,142825096,129508439,129508441,142825099,155406269,167046453,175911123,167046462,167046455,272596017,271850751,101583960,87616966,74012871,61232366,49753349,49753350,61232367,57995680,46619518,36731460,256830995,49753361,49753360,49753358,49753359,61232374,258859963,101583966,115623908,129508452,142825109,155406266,272893603,177553263,263611861,182566974,182566976,263995962,261511777,122026767,122026768,122026762,122026761,122026763,107652432,107652430,107652429,93249696,79134402,65779775,53723186,257854489,259101327,271109059,79134408,259101329,79134409,79134410,259732123,107652427,93249694,79134399,65779771,53723191,43211376,34123965,26258503,256700527,53723192,65779782,259101331,107652437,122026771,135954162,149177982,161464085,152795186,140102209,140102208,261191706,260014454,258771222,58678451,47287308,37377689,255918544,15543725,10750109,7102375,4471695,2686606,1556263,884780,499227,499231,884798,1555994,2686083,4103397,2454462,2454464,2879701,2879702,4777893,4777894,6890209,4325509,4325508,6890204,10452356,11378937,11378938,15539355,21560359,15539371,15539372,11369893,11369892,16341023,16347231,11374896,7556905,7556903,11374894,7556959,7556958,11374999,16347346,11376519,11376521,7560604,7560605,10747194,12216355,15545094,10751184,8205978,8205977,12161336,17282358,22506651,16332821,11363519,7549650,4774475,4774472,7549645,7557241,7557240,11375365,254521270,11379920,11379919,16349442,21041017,254348516,7560561,7560562,11380009,16347228,22520475,23658161,17341283,254263190,29866246,38428393,31089867,31089866,29867264,23589929,17278217,17278216,14493528,14493530,17321979 Dl.O(d2) = 48795342,269325868,77868599,70544268,57842308,46486175,36619710,28145871,20967504,18629795,18629796,19454172,255055512,29100855,29100858,37649804,47555044,58936755,71658103,77307393,64159327,52308072,52308071,42364231,42364232,52763782,257477892,41967609,33024608,25298195,25298196,33024614,41967617,46873097,36994321,36994322,46873101,53027031,47243407,41967628,33024622,25298200,18723649,13328877,255252425,25298201,33024625,38108779,38108778,48018848,46873050,37649801,29100857,29100858,37649804,47555044,58936755,71658103,77307393,64159327,52308072,52308071,42364231,42364232,52763782,257477892,41967609,33024608,25298195,25298196,33024614,41967617,46873097,36994321,36994322,46873101,42587154,42587152,53027027,65001777,72323383,59588858,48202387,48202385,59588854,64678624,64678623,63446661,51697129,51697130,46873063,36994301,36994300,269072631,41967617,46873097,36994321,36994322,46873101,53027031,47243407,41967628,41967627,46873064,58240681,60192097,256991371,22889344,16660348,16660347,22889342,30287177,38872917,48795340,60192082,64678623,63446661,63446660,65001782,53027034,47350501,37443893,28904612,28904611,37443891,47350497,38124101,29558580,22213215,16081798,11168354,7409342,4681756,2820827,1636528,1636527,2820822,254526261,255079955,22213283,256390395,27254463,27254462,27254464,27254465,22213282,16081840,16081841,255894261,38124201,256545128,44541889,44541890,55389185,51106211,40964309,32185006,32185007,256038412,48479585,38566110,38566111,257546679,59511565,256972124,48479593,270322167,268955270,48479592,59871459,258779591,100169899,99790729,99790728,91248457,77328708,64181351,52330995,41991395,257186921,44602752,41989202,33045591,33045590,41989192,41989204,33045592,25317632,18739831,13340586,255253503,25317616,18739823,18739824,25317620,25317629,33045588,41989199,35398061,27271586,20335899,20335898,268066298,44823715,43850247,34578375,26592889,22715576,16511210,11506351,7654259,4843139,4843140,7654262,254192176,22715593,30097405,24147475,24147474,18932323,13496961,13496962,18932347,17422820,12280056,8293354,5350386,3288366,1933787,1104561,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017638,3417532,5531981,5876141,3668961,3668966,5876150,9000601,13202931,17738978,17738979,24097609,24196159,17826953,12622386,8568552,5564162,3447794,3447793,5564139,8568496,8561269,5558474,3450842,2044315,2044313,3450833,5549772,3456816,3456812,5572647,8536535,8536532,8511733,8511731,12554094,17742760,12639931,12639930,16547908,14399125,9904198,9904200,8528586,8528585,12574827,254137920,26649344,254277008,17824980,24194227,31701978,39164517,40370704,31676622,31664364,24154086,24154087,31664366,31616461,24111368,24111369,254559810,24187920,31198419,24896956,18394656,18394655,18237761,18237762,24709198,32324002,255425142,20036119,15702819,10870311,10870308,15702814,21757572,24709208,18237768,12936651,8800992,8800993,12936652,18237772,24709219,22786282,255112667,11551554,16570498,22786287,30174997,38757957,33205091,268296935,18858466,256644553,257561325,60075922,72813263,86408404,87752613,74148400,74148399,87752612,101725156,270597692,99480362,99480361,259108740,58222348,46854568,36975984,36975983,46854566,47813225,37891417,29323492,255067318,47813227,59211821,59211822,71950789,85538964,99485776,113497047,127367339,140724192,142825096,129508439,129508441,142825099,155406269,167046453,175911123,167046462,167046455,272596017,271850751,101583960,87616966,74012871,61232366,49753349,49753350,61232367,57995680,46619518,36731460,256830995,49753361,49753360,49753358,49753359,61232374,258859963,101583966,115623908,129508452,142825109,155406266,272893603,177553263,263611861,182566974,182566976,263995962,261511777,122026767,122026768,122026762,122026761,122026763,107652432,107652430,107652429,93249696,79134402,65779775,53723186,257854489,259101327,271109059,79134408,259101329,79134409,79134410,259732123,107652427,93249694,79134399,65779771,53723191,43211376,34123965,26258503,256700527,53723192,65779782,259101331,107652437,122026771,135954162,149177982,161464085,152795186,140102209,140102208,261191706,260014454,258771222,58678451,47287308,37377689,255918544,15543725,10750109,7102375,4471695,2686606,1556263,884780,499227,499231,884798,1555994,2686083,4103397,2454462,2454464,2879701,2879702,4777893,4777894,6890209,4325509,4325508,6890204,10452356,11378937,11378938,15539355,21560359,15539371,15539372,11369893,11369892,16341023,16347231,11374896,7556905,7556903,11374894,7556959,7556958,11374999,16347346,11376519,11376521,7560604,7560605,10747194,12216355,15545094,10751184,8205978,8205977,12161336,17282358,22506651,16332821,11363519,7549650,4774475,4774472,7549645,7557241,7557240,11375365,254521270,11379920,11379919,16349442,21041017,254348516,7560561,7560562,11380009,16347228,22520475,23658161,17341283,254263190,29866246,38428393,31089867,31089866,29867264,23589929,17278217,17278216,14493528,14493530,17321979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14246946, s2 = 13586730, dlinesl.size( ) = 2 s1 = 14246946, s2 = 13586730, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14246946, Dl.E( ) = 2, 1.41e-05 seconds used appending s1 = 14246948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9087315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15112109, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11221983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221983, s2 = 11206082, int(edited[s2]) = 0 s1 = 11221983, s2 = 11206082, d1 = 2, d2 = 1 Dl.O(d1) = 258735320 Dl.O(d2) = 257213641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221983, s2 = 11206082, dlinesl.size( ) = 2 s1 = 11221983, s2 = 11206082, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11221983, Dl.E( ) = 22, 3.1e-05 seconds used appending s1 = 11206333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206333, s2 = 11536894, int(edited[s2]) = 0 s1 = 11206333, s2 = 11536894, d1 = 27, d2 = 32 Dl.O(d1) = 259264301,111891841,273842257,264945775 Dl.O(d2) = 266290870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206333, s2 = 11536894, dlinesl.size( ) = 48 s1 = 14929941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11694276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16361483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15201462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10530282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15201515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209867, s2 = 8081518, int(edited[s2]) = 0 s1 = 11209867, s2 = 8081518, d1 = 67, d2 = 62 Dl.O(d1) = 256758386,37286034,28751657,21492066,21492065,24464917,32026930,25547057,18934400,13498905,13498906,16365194,16365182,11388769,11388771,16365188,21405026,23727032,23727036,31212234,25492166,25492156,18887873,18887875,15108291,15108293,21034519,28231541,256758446,46669509,256834570,17781883,12584771,8537223,5535203,5535206,8001085,5093606,3091377,3091380,5093618,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394564,20076981,26960734,28275153,36770460,36568110,28097207,28097209,28097279,20922096,15014960,10343447,10343446,15014951,20922078,22397691,22397688,29758892,38328863,41960394,39394506,30791923,23366018,17096930,12010189,12010187,17096920,15126459,10433225,6878223,6878219,10433208,15126430,15115487,15115489,21043650,22561929,21059573,15127122,10433612,10433611,10433696,10433692,10433461,10433460,15126899,15127082,10433587,10433585,15127078,21059522,28261258,31592640,40276965,32088588,32088584,39003304,36737371,28242293,21043427,15115372,10426089,10426085,14911546,14911545,20806427,27969457,36428134,36737349,28260864,21059288,21059289,28260870,28670961,28428540,28259814,21058508,15126439,15126438,21058503,28241992,21043187,15115224,15115225,21043193,28242008,28260934,21059325,21059324,21060105,21060102,21058900,15127463,15127464,21060092,28261102,31698228,24190281,17821434,17821436,24190289,28242499,21043575,15115452,10426140,10426141,15115459,11724862,7827510,7827509,6874040,4315182,4315180,6874031,10426013,15115256,21043238,23464357,17184938,17184936,23464396,30897813,36571308,28261021,28261020,28261427,28261424,25472033,18871719,18871716,25472020,33218725,29310228,29310226,36749627,36749629,33444270,25673730,19052342,13600881,9313065,9313061,13600867,13600589,13600592,19051890,25673109,31698725,31698709,24190624,24190626,24190485,24190484,31698489,40390871,47802785,40391477,31698656,31698657,255377210,29913165,29913166,38471301,48372921,50425544,40391738,31698914,30414868,23010003,23010004,23010036 Dl.O(d2) = 268094117,2943964,254170279,546527,306086,306088,546537,970442,1707272,2944049,254547375,11595951,16624184,22848160,30241779,23778953,23778954,31264242,256145069,19057838,13605162,10424221,6872711,4314159,4314160,6872714,10424232,13071913,13071912,18403430,24907772,23907439,17563693,12392450,12392452,17563656,13943403,13943404,11535187,11535190,16549739,22762412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209867, s2 = 8081518, dlinesl.size( ) = 18 s1 = 12272426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11210383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9731843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9731843, s2 = 1330334, int(edited[s2]) = 0 s1 = 9731843, s2 = 1330334, d1 = 47, d2 = 57 Dl.O(d1) = 47450254,37542279,268397839,254761543,4628709,2788308,2788307,1780569,1015317,572306,572307,1015319,1780572,1791160,2713428,1571869,893684,504217,504218,579232,579230,1028011,1782407,1016459,1016458,1782402,3057907,3077549,3069297,3069295,1792322,1792323,1801666,3085508,4515787,2713559,1800390,1027485,578928,578930,1027492,1800401,3057868,3057853,1782366,1016438,1016439,1027506,1800430,3084495,5075899,3086331,1802008,1802007,1791821,1021970,1021968,1791815,3072324,5052034,5074839,5074838,254357428,7932498,7934923,254357430,3056040,5045561,5054177,5054176,5074912,5068813,3072515,1791965,1791963,3072510,5062427,7955103,7950484,5056512,5056513,7936446,7936447,7936444,7936445,254565881,5094974,3194685,1869993,1797389,1797390,3079807,5060166,5086998,5086999,7528178,11330937,10720104,7989089,5084846,5084845,7989087,11937291,17021910,17032035,23291819,23037020,16792654,16792653,23037018,17099035,12012992,12012993,17099037,16140735,16140736,16991306,16727078,11684349,7791533,7791534,8034734,8034735,7959976,7959977,8044772,5134817,5134816,7983525,5081073,3081767,3075794,3075795,5072720,7944809,5052894,5052893,7945299,11884449,8349584,5389111,5389112,254381734,17523239,23867371,31361541,40041677,50061150,59244186,71981314,85568383 Dl.O(d2) = 81256733,259170067,85568397,71981323,59244195,59244194,71981320,85568393,99515150,113526548,127396539,127396540,140752338,153432824,162478721,261551347,123571735,109380201,109380202,123571736,128595099,114697938,100652618,86679788,86679760,86679761,100652591,114697926,128595089,141956271,128595092,114697929,100652606,100652605,100652608,100652602,91870621,77945980,64751702,64751701,77945976,77945975,91870617,77945978,64751700,52832239,42428052,33435545,33435544,42428054,52832244,64751709,77499091,64334773,64334774,77499092,64751712,52832245,52832246,64751713,64334789,52467190,257216907,33435549,33435550,42114592,42114593,52467181,64334779,77499096,88446106,74813825,74813826,88446107,102447743,116544498,130382582,143708275,260690000,187481860,263222296,167030072,155385002,271637322,101555097,87592593,73992307,73992308,61213525,49735123,49735122,61213522,58461930,58461929,47083857,37188448,28667161,28667160,37188447,47083854,58461928,71183880,72483087,59748657,48365786,38464219,29906912,268835322,29819626,22452153,16282970,15920077,11042463,7317028,4619111,2781358,2781359,4619117,7317045,11042494,15920134,16282678,11323959,7520188,4754433,2865453,2865454,4754435,267976823,14490174,11324160,7520337,4754519,4754521,7520345,7518629,7518630,11322348,11323241,11323240,11318996,7515778,7515777,11318989,11322631,16281460,11323899,11323900,11323885,11319125,7515868,4751276,2863552,1662039,1662040,2863557,4751287,7515893,7516647,4752035,4752036,7517098,11320777,15882579,11323860,7520125,4754389,2865420,2865419,4754387,254780121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9731843, s2 = 1330334, dlinesl.size( ) = 48 s1 = 8126253, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14020657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020657, s2 = 8248092, int(edited[s2]) = 0 s1 = 14020657, s2 = 8248092, d1 = 50, d2 = 44 Dl.O(d1) = 254628957,6518726,254689835,6518644,6569984,4115708,2461774,1423003,809538,809540,1423013,2461790,4115742,6570037,9996702,13738628,13738627,19230994,25890496,33696504,256676682,30337878,22936744,22936743,29159839,22956496,16720309,11678615,7787076,7787075,11678613,16720305,22956490,28015941,20850008,20850009,28015948,36476670,44871748,55801092,52655192,42269263,33289047,33289048,42269269,47178608,37272614,28740387,21482795,15479274,10704185,10704184,15479269,21482783,28740365,35432933,41425602,41425603,51667690,63410966,76454773,73249286,60502223,49098635,39168446,33738374,25931588,25931589,33738377,36432190,46285357,46285336,38944224,30358035,22956478,16720298,16720299,22956479,30358038,38944229,46332210,55800992,44871631,35432839,35432840,44871634,35433000,27300536,27300535,35432997,38944209,30358024,22956463,16720289,16720288,22956461,28740340,37272576,44871743,35432960,30570521,30570520,257010625,47178603,47178604,258062435,49098636,257010629,39168504,44871771,44871769,55801109,258806770,55801043,44871701,44871700,55801041,257328422,86589804,72992437,60256911,48863946,48863945,60256908,49098705,40637248,40637247,49098688,49098689,55801122,62216831,50696647,40637291,40637292,50696632,40637282,31921494,31921493,40637276,50696623,59290581,47895010,37977661,37977662,40637305,40637304,50696669,256565058,73249321,73249304,60502248,49098661,39168463,39168462,49098658,60502245,68228587,269208189,44871784,50696616,40637270,31921488,24388645,17988935,12749989,12749988,17988932,24388633,256565055,269421033,75039963,88690936,76280991,63261730,51545068,41323675,32477366,24836976,24836978,32477320,41323620,50696523,62216716,51544959,41323588,41323589,50696518,40637204,31921453,31921452,40637200,40637169,31921432,24388619,24388616,31921423,256517528,58890299,53317381,53317380,65317093,78615405,90093568,76281002,63261737,63261738,258255390,259502066,76280903,76280902,76280925,257063946,61461920,49983968,39967712,256517432,32477367,31293425,31293426,39967675,49983936,61461894,256517450,256517452,86573279,74241028,269397315,39967852,31293560,23807969,17474875,12320414,8321838,8321839,12320420,17474881,23807979,268439811,39968255,49984405,61462287,51545093,41323701,41323700,49985656,47779435,37855934,37855935,30682974,30682973,256517470,31295278,39969647,49985720,61463359,57720904,46370591,36511685,28047571,28047572,23808157,23808158,31293760,39968046,39967928,31293651,31293648,31293584,23807985,17474884,17474883,23807983,31293581,39967762,39967761,39967778,256517460,61462268,61462269,49984582,39968434,39968435,39969554,39969553,39968018,31293751,23808152,23808153,31293758,39968043,49984263,39968398,31294131,23808462,17475250,17475251,23808470,31293822,23808502,17475267,12320688,12320689,17475275,23808515,31294196,31293780,31293777,23808245,23808246,23809436,23809435,31295293,39969663,49985726,49984083,49984057,39967815,31293524,31293525,31293726,31293725,31293485,31293483,39967756,49984014,49984174,61462100,49984578,39968431,31294159,31294158,39968428,256517490,23808148,23808147,268254814,49984210,256012644,74241323,61462403,60434009,49030228,39101130,39101124,39101123,49030215,60434000,73180954,61462062,49984133,39967916,31293632,31293633,39967919,49984134,49984564,49984565,61462424,61462432,49984590,49984589,39969496,39969494,39969562,39969563,49984042,61461979,61463331,74242093,74242076,61463297,49985618,49985617,61463295,61462460,49984618,256517482,23808508,23808507,31294183,39968461,49030224,255561650,73180960,73180955,73180956,74241060,61462473,61462474,61462237,61462236,61463327,49985668,49985669,61463329,268111274,74242144,73117616,60377569,48980706,48980705,49985160,39969086,39969085,256012642,49985814,61463416,74242142,87846101,74241133,61462194,49984304,39969180,39969179,49984616,39968464,39968465,39968458,39968457,49984605,61462446,74241352,74242140,74241511,74241103,74241101,61462470,61462471,61462243,49984354,39968180,39968181,49984358,61462247,61463324,61463325,74241065,61463421,49985816,49985819,49986323,49986322,61463424,61463426,74242152,268679146,61463782,74242398,73117619,73117618,61462865,61462868,269397356,74241694,61462926,61462928,61462264,61462265,74241189,73117710,73117711,74241375,61462489,49984644,49984645,49985802,256012720,31295371,39969725,255172794,31294813,31294811,39969147,39058074,30467659,23058706,23058705,30467655,39058068,39969952,49986002,61463541,61462877,49985190,39969104,31294776,23809004,23809002,17475677,17475675,23809074,31294865,39969192,39970319,39970318,49986317,61463804,60377739,48980932,48980931,48980920,48980921,39969781,39968497,39968499,49984663,39970304,39969683,39058149,39058148,39058152,39058161,39058162,48980823,49985245,39969162,31294833,23809056,17475657,17475655,23809048,30467666,23058714,16811413,16811414,23058716,23058780,23058781,30467775,39058239,39970106,39970107,49986137,48980776,39058123,31295367,31295366,39058163,39058164,48980826,49986356,48980750,48980751,60377607,49986274,39970273,31295896,31295895,39970266,49986267,49984651,39968493,39968494,48980799,39058144,255561766,60377611,48980755,48980754,254592328,48980781,48980782,60377627,58748270,58748269,61463798,61463799,74242411,85049084,71477375,58748128,48980860,39058190,30467737,23058756,23058754,30467734,39058185,48980854,60377664,60377665,61463429,257475330,74242414,257646677,256517621,23809987,23809984,30411131,268238073,11719939,7822181,4964254,4964255,7822186,11719958,16766760,23006307,30411200,39000323,48924237,47361272,47361273,48980878,48980877,60377696,71477391,58748155,48869819,47361236,37455103,28915795,28915794,34081980,43165147,48923271,38999394,30410388,23005681,23005683,30410395,38999405,48923281,48923254,38999375,38999376,38999382,48923247,50015881,50015882,61493705,58748130,47361213,37455069,37455070,37455148,28915826,28915827,25675244,25675243,33446070,42439163,47361266,37455136,37455115,28915802,28915801,37455113,47361251,47361221,37455079,28915784,25931568,25931570,25931573,33738344,42768139,47361259,47361258,39969061,31294739,23808969,17475591 Dl.O(d2) = 159188666,146813458,133554608,133554607,146813457,159188665,170529912,159188650,159188649,262809231,261960045,133554610,133554609,146813462,159188647,170529907,180663856,273784771,262459813,146813448,133554601,119679199,119679201,261423563,262459821,146813458,133554608,133554607,146813457,159188665,170529912,159188650,261423561,133554596,146813441,159188647,262920319,273784771,262459813,146813448,146813449,262459815,170529917,170529916,170529919,159188668,159188667,170529926,180663860,180663859,189563994,264048009,189564000,197254466,263709981,180663868,263709983,264350301,189563994,264048009,189564000,197254466,263709981,262459819,133554603,133554604,146813454,262459817,170529926,180663860,180663859,189563994,264048009,189564000,197254466,263709981,262459819,133554603,119679200,119679201,261423563,262459821,146813458,133554608,133554607,146813457,159188665,170529912,159188650,159188649,262809231,261960045,133554610,119679204,105440290,91217676,258388233,256629537,18714726,13321442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020657, s2 = 8248092, dlinesl.size( ) = 8 s1 = 14932100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14932100, s2 = 11061426, int(edited[s2]) = 0 s1 = 14932100, s2 = 11061426, d1 = 6, d2 = 4 Dl.O(d1) = 258288606,100419214,258628012,48735596,46394478,36533840,36533841,39312448,33438359,25668761,25668760,33438355,38827011,30243662,22849667,22849668,30243665,30243717,22849709,22849708,23046471,16800702,16800701,23046469,30454614,39044021,38949606,38949607,38815958,30232705,255943108,22849594,30021904,22649056,254833376,37331251,28793962,21529019,21529020,28793964,28793969,22096503,22096504,21026645,15102588,10416633,6866886,6866887,255802799,254797872 Dl.O(d2) = 254244626,16625409,254170220,30243964,23890547,254797876,12374524,17543794 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14932100, s2 = 11061426, dlinesl.size( ) = 2 s1 = 14932100, s2 = 11061426, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14932100, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 6755269, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6924300, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6924300, s2 = 8244636, int(edited[s2]) = 0 s1 = 6924300, s2 = 8244636, d1 = 22, d2 = 4 Dl.O(d1) = 260143643,130174601 Dl.O(d2) = 100774293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6924300, s2 = 8244636, dlinesl.size( ) = 28 s1 = 14932928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11249011, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1871161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6643573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6643573, s2 = 12832745, int(edited[s2]) = 0 s1 = 6643573, s2 = 12832745, d1 = 103, d2 = 117 Dl.O(d1) = 256883199,28914294,28914295,37453587,41133299,41133300,48341662,38438064,29879315,29879314,22893696,22893697,30292055,24705083,18234241,18234242,24705085,32319531,26672619,26672618,34665734,43939847,269869568,70786492 Dl.O(d2) = 272228447,162503699,162503698,262083922,260990506,109406815,95152613,270360070,55291888,47927161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6643573, s2 = 12832745, dlinesl.size( ) = 2 s1 = 6643573, s2 = 12832745, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 6643573, Dl.E( ) = 130, 4.2e-05 seconds used appending s1 = 11074381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074381, s2 = 11095146, int(edited[s2]) = 0 s1 = 11074381, s2 = 11095146, d1 = 19, d2 = 1 Dl.O(d1) = 269127677,258306646 Dl.O(d2) = 31314249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074381, s2 = 11095146, dlinesl.size( ) = 14 s1 = 14933766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15201846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15201846, s2 = 16267441, int(edited[s2]) = 0 s1 = 15201846, s2 = 16267441, d1 = 105, d2 = 113 Dl.O(d1) = 73223189,60476631,49073336,49073338,258197425,73223838,60477306,49074037,39143806,30545308,23126993,23126994,30545310,39143813,39143846,49073355,39143149,39143147,30545371,23127035,16867248,11798901,255133179,23127031,30544578,23126127,16866162,11797718,7878927,7878926,11797712,16866158,23126123,30544568,39143144,49073345,60476619,60476661,49073371,39143156,39143157,49073373,49074090,60477357,67720237,67720238,81185341,86782537,73169939,256464314,49019371,60423224,67720227,67720215,55380268,55380269,67720228,57702111,46352665,46352664,46352681,36494700,28032004,20864347,20864346,28032001,36494694,257388873,258197440,67720251,55380287,55380288,67720206,81185327,83922533,70396291,258623655,83922522 Dl.O(d2) = 169618099,262562094,166439702,154729815,142091862,128733564,114833753,100781713,86800899,84341987,84341986,98249205,112227319,100835777,86855027,73242319,73242320,73118386,60378427,60378428,73118388,84341996,84341995,81024342,67554600,55210779,55210780,67554602,81024345,86800880,86800879,91529041,77598087,64429217,64429216,77598084,91529034,105752498,259900890,133852654,128728006,114828280,114828281,126187659,260102580,152292484,164175663,154914903,142282883,128932197,115029290,100973349,259456251,73374964,60629296,49228157,49228156,48981769,39059087,39059088,48981771,48981780,256641706,52534752,52534753,52534749,52534747,64407756,52758697,52758696,64673681,65059836,53077438,53077439,65059837,78338701,86723904,77863690,64673673,64673674,77863692,91786250,91965440,78038266,64841030,52916194,42506690,256175676,19097377,19097376,25729186,19097378,13634687,9336430,6115510,3826337,2292390,2292389,3826335,6115509,9336428,12041767,8095305,5186269,3164015,3164014,5186266,8095299,12041763,8096149,8096146,254935699,254451741,2294655,2294658,3830120,6121734,9346211,13608268,13652869,18993427,13672757,13587618,9361728,6132084,3836410,3836406,6090860,6090859,9297935,13579324,19024735,254937437,254937435,6084454,6084453,9288078,9844504,9844505,12041998,9305018,6095195,3813456,2284306,2284307,3813462,6095212,6111047,6111048,9329208,11474408,7632055,7632053,11474403,16468466,18995968,19144126,21283523,15320080,10581437,10581435,13413926,9304578,9304579,9320340,6105365,6105366,6120782,9344719,11483282,11483281,13646256,13646255,17823324,16378277,11398646,11398647,16378279,20284883,14554938,14554939,13550008,13550007,18988881,15066056,15066055,20977568,28156809,25135403,18581575,13204829,9001670,268020557,6913174,4341932,4341931,6913172,10485313,15201853,21157535,28374615,36871259,33583718,25787889,19143077,13668613,13668612,13562555,13562556,19003599,24191415,17822261,17822259,19037407,21762842,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006072,25620351,32840217,25135001,18581194,18581193,19009975,22433541,22433539,29799955,38372121,33389861,25624260,19009632,13567293,13567294,9289440,6085327,6085326,9289438,13567738,17780331,17866670,17866669,24242607,25631152,19015357,254681426,33397161,38397215,48307944,59694888,64393439,53881434,256707535,256707537,43357049,53881507,65545138,65545137,65948465,72945510,86545261,86545258,86545259,259308004,109588500,98474079,84552305,70989383,70989382,84552303,72704590,72704591,81274552,67807157,55465645,44616801,44616800,55465643,67807153,81274544,95333491,86972187,73360617,60615784,55465640,44616798,35234948,27139627,27139628,35234950,44616802,35356867,255893619,11164145,7405216,7405217,11164147,16077283,256389733,29552835,22252781,16114645,11193795,11193794,10038895,10038894,8471693,8471692,12505976,16112910,16106696,16106697,22243298,255896306,59461333,72198846,85792659,99746335,113760559,127629250,140978708,153645967,165426921,262709916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15201846, s2 = 16267441, dlinesl.size( ) = 2 s1 = 15201846, s2 = 16267441, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15201846, Dl.E( ) = 114, 3.29e-05 seconds used appending s1 = 11218761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218761, s2 = 11370018, int(edited[s2]) = 0 s1 = 11218761, s2 = 11370018, d1 = 3, d2 = 11 Dl.O(d1) = 258889966,11813322,7891550,5012372,5012375,6065608,9261021,12140752,13650465,19118935,19118934,25757383,25574499,18965870,18965868,25574490,25925429,30560804,30232750,22840143,22840142,30232749,38815989,255680954,23645556,23645557,31133244,39815821,32160193 Dl.O(d2) = 21319687,28543024,37041985,42462717,33469410,25696432,19071042,19071041,25696430,33469407,42462723,42462753,33469427,33469428,42462756,42314877,33334355,25574728,25574729,33334358,25696752,25696751,33469865,42463259,50159017,50159018,268517040,24095534,24095535,31599341,40283833,39867894,31185504,23695845,17373734,17373735,23695847,31185508,39867900,268657864,33469958,25696815,19071306,13615133,9322768,6106858,6106856,9322761,13615118,258426585,259680551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218761, s2 = 11370018, dlinesl.size( ) = 14 s1 = 14247564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244469, s2 = 11220134, int(edited[s2]) = 0 s1 = 11244469, s2 = 11220134, d1 = 0, d2 = 9 Dl.O(d1) = 85352612 Dl.O(d2) = 259958463,256357649 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244469, s2 = 11220134, dlinesl.size( ) = 10 s1 = 13362171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13362171, s2 = 13347776, int(edited[s2]) = 0 s1 = 13362171, s2 = 13347776, d1 = 76, d2 = 100 Dl.O(d1) = 59098622,255519604,255519602,71837742,71837741,257591454,47701428,55196690,52757720,42358160,42358159,37779718,32829101,254849732,255563840 Dl.O(d2) = 85426666,259345942,113368285,259346047,258096983,47702082,47702084,58893345,71613112,85177641,71837105,59097596,59097597,71837108,258881144,71838610,59099238,47701259,37780829,37780830,47701263,47701885,256906927,29219738,21904914 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10884888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15867176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11224987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14935712, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14935712, s2 = 15202092, int(edited[s2]) = 0 s1 = 14935712, s2 = 15202092, d1 = 7, d2 = 0 Dl.O(d1) = 258930352,116714792,123587231,271657817,81083654,257236344,44435809,35061807,33282245,26978628,26978627,35061808,44435811 Dl.O(d2) = 256056314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14935712, s2 = 15202092, dlinesl.size( ) = 2 s1 = 14935712, s2 = 15202092, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14935712, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 15202091, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11225105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11225105, s2 = 14088738, int(edited[s2]) = 0 s1 = 11225105, s2 = 14088738, d1 = 22, d2 = 19 Dl.O(d1) = 258479482,93372053,79244182,65879749,53811594,269574473,79244185,93372054 Dl.O(d2) = 259105623,260662046,73238076,60491263,60491262,73238075,86850912,84953942,71378541,58642647,257455672,37339792,47249745,58642650,258691635,259937373,126717852,140064766,152754264,164589016,164589015,153709557,141042423,127692751,260202456,85855583,258959362,59529862,48142560,48142561,59529863,258753965,99808549,113823417,112525894,98531448,98531447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11225105, s2 = 14088738, dlinesl.size( ) = 18 s1 = 10823907, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14936465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10204146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11228367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228367, s2 = 10579383, int(edited[s2]) = 0 s1 = 11228367, s2 = 10579383, d1 = 23, d2 = 3 Dl.O(d1) = 259634647,77793206,64610436,258417481,91721070,105928686,120140708,133982330,260882525 Dl.O(d2) = 147205027,159564199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228367, s2 = 10579383, dlinesl.size( ) = 18 s1 = 14936936, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14936936, s2 = 14358095, int(edited[s2]) = 0 s1 = 14936936, s2 = 14358095, d1 = 30, d2 = 12 Dl.O(d1) = 259641079,119665451,133540276 Dl.O(d2) = 220537058,217462004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14936936, s2 = 14358095, dlinesl.size( ) = 14 s1 = 11879843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11229027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229027, s2 = 11317522, int(edited[s2]) = 0 s1 = 11229027, s2 = 11317522, d1 = 16, d2 = 22 Dl.O(d1) = 77304609,64156222,52304664,257774077,77304608,77304674,77304586,64156196,52304646,41964203,33021450,33021451,34640635,34640636,43023290,33965634,26127317,19432631,13904519,9542407,6410434,4021617,4021619,4768137,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678,4019619,6407084,6408799,4020615,2409220,1394079,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250 Dl.O(d2) = 11473520,15951136,14551542,10012783,6581049,6581053,10012758,7343634,7343630,7707783,7707781,10737853,15525966,15525965,18745247,18745249,22050546,22050542,18130680,18130682,14528476,14528482,15946117,15946116,22049300,22824934,19199638,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,22661512,20980460,15068463,15068466,10963719,10963722,15820345,20335309,21386975,21386980,22040569,15938016,15938019,22040582,21542541,21542545,22823254,22823160,22823163,22820365,16600713,11577946,7706533,4877365,4877362,7706522,7338387,7338388,10579461,10579460,15317330,21279761,25858667,22036539,15934709,15934711,16835905,16835904,20977425,16117630,11195814,11195813,16117625,22256804,23396528,22281921,16137926,11210485,10741047,8742304,8742306,12856085,12078152,12078156,10646458,7029491,4421986,2653107,2653108,2791973,4634800,7337363,11065976,11963726,8008572,5098244,3094447,3094448,5098211,7142883,4878098,2939274,2939276,4878108,7707128,7707130,10579502,7707156,7707154,9392516,6153226,4988760,3013230,1750263,1750264,3013191,4671908,7395247,11149772,16057930,22184871,29527149,23793960,23793959,31279861,39954566,49971013,61410953,61448725,270915925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229027, s2 = 11317522, dlinesl.size( ) = 2 s1 = 11229027, s2 = 11317522, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11229027, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 11060107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060107, s2 = 7288305, int(edited[s2]) = 0 s1 = 11060107, s2 = 7288305, d1 = 3, d2 = 125 Dl.O(d1) = 22543404 Dl.O(d2) = 265733492,219430078,216130890,265009357,265217017,265009354,219429320,265577603,228496681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060107, s2 = 7288305, dlinesl.size( ) = 40 s1 = 13534638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13534638, s2 = 10893047, int(edited[s2]) = 0 s1 = 13534638, s2 = 10893047, d1 = 10, d2 = 6 Dl.O(d1) = 105521066,91303279,77385012,77385011,91303278,105521064,119755121,133624965,128760617,114862956,100811140,86829624,73216568 Dl.O(d2) = 100811145,86829625,86829626,100811145,260060947,128760629,142116403,142116401,142116402,128760623,114862960,100811143,100811144,114862962,114862964,114862965,128760622,142116402,142116400,128760618,114862957,100811142,86829624,73216568,60469861,60469862,73216569,86829626,100811146,114862965,114862959,100811143,100811144,114862962,114862964,114862965,128760621,261781917,128760628,128760629,128760627 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13534638, s2 = 10893047, dlinesl.size( ) = 10 s1 = 16267097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15242755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10755775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10755775, s2 = 2566597, int(edited[s2]) = 0 s1 = 10755775, s2 = 2566597, d1 = 47, d2 = 26 Dl.O(d1) = 24343083,31865531,40567414,50608731,59231149,47833452,42419300,33428488,25660079,25660080,33428490,37911977,37911978,47833821,47833710,37911856,37911857,29342709,22010645,255068343,7304961,7304960,11030379,15909049,22010621,29342674,37911947,37911565,29342469,22010580,15909026,11030361,7304952,7304951,11030359,15909022,22010571,256375435,47833680,47833552,37911727,37911726,47833550,258107929,64814765,71968902,64814710,59231279,59231278,64814713,64814862,52894033,52894037,59231234,52893253,42486775,33490778,25715501,25715502,33490785,34275053,33490565,29342590,29342591,37911832,37911928,37911733,29342523,25715772,19087251,19087252,19087243,13627473,13627471,19087237,25715748,25715988,25715849,19087293,19087292,25715844,33490655,25716004,25716003,33490599,25715416,19087029,19087028,25715409,33490583,42486529,47833395,47833400,256664689,33491504,34275065,26400123,26400122,29342436,33491095,33490624,33490625,33491424,42487601,52893985,52893129,256664607,25715462,25715463,33490697,42486668,42486867,42487290,33491139,25715704,19087210,13627455,13627454,13627432,9331486,9331487,13627436,19087184,19087320,25715893,33491406,31168851,31168848,25715607,19087146,13627404,9331470,6112438,6112437,9331464,13627394,19087126,25715582,31168872,23680563,23680534,17360287,17360286,23568352,23680545,23680544,31168831,39850836,40323492,31634524,24127857,24127856,24127865,25716018,19087392,19087394,25716029,25716036,25716035,33491600,257221237,42487590,33491416,33491418,257221211,42486805,256148087,13627372,9331453,254934483,19087077,256148085,42486792,33491570,33491571,42487769,40323597,40323596,50350142,49873090,49873091,49873060,39850849,39850850,42487766 Dl.O(d2) = 14328619,14328618,20007271,255280274,255141956,53500432,43021129,33963516,31635690,31635689,28295133,28295132,30001593,30001589,38572158,48485331,59876842,72615186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10755775, s2 = 2566597, dlinesl.size( ) = 2 s1 = 10755775, s2 = 2566597, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10755775, Dl.E( ) = 56, 2.6e-05 seconds used appending s1 = 12275698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12275698, s2 = 11037666, int(edited[s2]) = 0 s1 = 12275698, s2 = 11037666, d1 = 84, d2 = 77 Dl.O(d1) = 260274811,91480927,259657957,92677836,78623357,78623358,91480928,91480929,78623359,65326460,53328633,42867280,33826195 Dl.O(d2) = 61368069,49887533,255861766,31183059,39865425,37353527,28814643,21546288,21546289,27020993,268427442,254254189,1026467,578326,578328,1026478,1027378,1021883,1021885,1027366,1800229,1791695,1791696,1569922,1023547,1020285,1020282,1789278,1790549,1026424,578308,578305,1026419,1026879,1026881,1016727,1016729,578509,578508,1020099,1020102,1026533,578363,576048,576049,1022375,1014918,572076,320432,320435,320467,320465,572146,1015031,1014580,1014581,1779451,1031538,581308,579790,579789,1028976,1802485,2713608,1801041,1027898,1027899,580072,580071,1029464,1014564,571889,571888,580093,1013836,1023369,1023368,1028884,579748,579751,1028895,580731,324750,324749,580726,580795,324782,324781,324814,580840,580872,1030799,1805153,1031359,581197,325018,179496,98715,54573,30842,254072449,98717,179501,325025,254130247,572038,572036,254174925,3054562,5044121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12275698, s2 = 11037666, dlinesl.size( ) = 36 s1 = 16318559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14247934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14247934, s2 = 13538325, int(edited[s2]) = 0 s1 = 14247934, s2 = 13538325, d1 = 1, d2 = 1 Dl.O(d1) = 4448295,2672489,2672486,4448287,7065043,10694024,15465771,21466874,28723132,37254009,47158767,54612228,54612229,53873975,53873977,49113903,40698358,40698359,31959910,31959911,26371994,19638925,14075466,9680799,6367264,3995301,2394278,2394276,3995288,6367239,9680752,14075374,19638767,26371754,32808661,25106464,18557165,13185946,13185948,18557172,25106477,32808684,26371419,19638560,14075258,14075257,19638555,26371410,34162988,28897325,28897324,37437911,43348492,43869477,34599421,33640777,256673393,43869814,43869413,43869412,42669780,37764054,29202546,29202547,37764058,39184463,49113631,60516142,54612240,53121224,51783245,41508261,32624966,32624967,37764446,37764448,32778651,256617257,38408727,37765624,37765623,37765583,29204014,29204013,30586550,23168433,16905180,16905179,23168428,30586547,29470422,22134644,22134643,29470420,29284244,29284245,37024939,28526939,21304955,15335757,15335758,21304958,28526946,36704683,37596257,29048477,28526855,21304894,15335730,15335731,21304899,28526862,37024860,36858418,36858417,37024851,46740072,46902599,37024912,37024914,46902577,46902585,256993972,36858426,30323844,22922902,22922903,28766502,28766501,36704689,30323849,30323850,28526840,21304887,255824359,28526985,21304978,21304977,28526983,37024996,46902690,257405432,46514038,36646464,31215839,256511071,49913201,61393622,58126523,58126522,256576322,31215845,39893162,46593102,57969428,46902564,37024874,36704733,28213511,28213510,256486862,28383011,21165277,21165278,28383013,36704696,28213486,28213485,36704693,256576326,28213526,28213527,29568885,255217282,46902617,58268422,58268471,70983372,84383281,70983315,58268388,57967851,46902674,257431401,58268386,57967790,57967791,49913211,39893170,31215851,23731385,23731384,31215850,39893168,36879467,28383006,28383005,36879466,46639814,46639813,58013908,70685886,57967889,46758255,36879482,36879481,46758251,46758248,255984698,28383014,36879480,36879430,28382983,21165262,21165263,15208483,15208484,21165269,28382993,36879447,46758205,39350885,36706122,28214706,21020677,21020675,28214700,36706111,46593022,57969314,60567829,49168731,49168732,58126623,64243991,52388116,52388114,256479806,33096063,33096062,42044119,52388191,42560339,33543955,33096136,25362630,18779946,13375275,9141779,9141778,13375271,18779936,25362612,33096111,33543980,42560374,39259277,30663508,30663507,39259274,49185088,60585024,52388333,52388334,64244218,77395042,91313977,257024626,70766882,58048215,57975699,46598613,46598612,42560355,36711335,36711336,28290749,28290748,36787256,40493981,31798859,31798858,40493980,50529716,58048281,70694985,70694984,70693637,57975641,46598566,36710476,36710477,46598569,46598608,36710509,28218049,21023146,15099314,15099316,21023150,28218059,36710522,36711501,36711499,46599760,57976951,48234286,48234287,55696945,44789672,44789670,55696943,57970168,46593744,36706684,28215215,21021087,21021086,28215212,36706678,28218814,28218815,36711475,46599730,57976802,46599637,46599442,46593920,38224088,255902079,22306178,29658072,36706826,36711463,46599722,57976902,57970140,57970139,70687962,70687038,57969211,46592938,46592939,57969215,70687040,57976774,46599617,46599616,46593894,36706809,28215304,21021143,21021141,22306191,16159938,11227518,7449794,7449797,11227527,16159953,22306217,29658131,28218659,21023628,15099712,10413942,6864556,4308120,2576013,1483686,1483688,2576017,4308131,6864574,10412807,15098004,15099486,10413771,6864425,6864424,10412806,6863870,6863869,254489341,2576034,2576035,4308157,6864611,10414010,10414004,6864608,4308155,2576033,2576032,4308153,6864600,4308147,2576029,1483696,839146,473109,473067,265868,265867,473065,839061,1483546,2575763,4307643,6863769,10412653,15097744,21020917,28214993,21020915,15097740,10412650,10412651,15097722,21020878,22799603,16582677,11562951,7695667,7695668,11562953,16582680,22799609,256438071,269336337,38055950,29491895,29491896,38055952,47969208,59360213,72093724,84239735,70687510,57969751,57969752,258192811,60419665,49016020,39086555,30490084,30490083,39086564,49016027,60419673,73166257,86779018,99814104,99814105,113829344,99814083,85860640,72268871,72268870,85860638 Dl.O(d2) = 4448295,2672489,2672486,4448287,7065043,10694024,15465771,21466874,28723132,37254009,47158767,54612228,54612229,53873975,53873977,49113903,40698358,40698359,31959910,31959911,26371994,19638925,14075466,9680799,6367264,3995301,2394278,2394276,3995288,6367239,9680752,14075374,19638767,26371754,32808661,25106464,18557165,13185946,13185948,18557172,25106477,32808684,26371419,19638560,14075258,14075257,19638555,26371410,34162988,28897325,28897324,37437911,43348492,43869477,34599421,33640777,256673393,43869814,43869413,43869412,42669780,37764054,29202546,29202547,37764058,39184463,49113631,60516142,54612240,53121224,51783245,41508261,32624966,32624967,37764446,37764448,32778651,256617257,38408727,37765624,37765623,37765583,29204014,29204013,30586550,23168433,16905180,16905179,23168428,30586547,29470422,22134644,22134643,29470420,29284244,29284245,37024939,28526939,21304955,15335757,15335758,21304958,28526946,36704683,37596257,29048477,28526855,21304894,15335730,15335731,21304899,28526862,37024860,36858418,36858417,37024851,46740072,46902599,37024912,37024914,46902577,46902585,256993972,36858426,30323844,22922902,22922903,28766502,28766501,36704689,30323849,30323850,28526840,21304887,255824359,28526985,21304978,21304977,28526983,37024996,46902690,257405432,46514038,36646464,31215839,256511071,49913201,61393622,58126523,58126522,256576322,31215845,39893162,46593102,57969428,46902564,37024874,36704733,28213511,28213510,256486862,28383011,21165277,21165278,28383013,36704696,28213486,28213485,36704693,256576326,28213526,28213527,29568885,255217282,46902617,58268422,58268471,70983372,84383281,70983315,58268388,57967851,46902674,257431401,58268386,57967790,57967791,49913211,39893170,31215851,23731385,23731384,31215850,39893168,36879467,28383006,28383005,36879466,46639814,46639813,58013908,70685886,57967889,46758255,36879482,36879481,46758251,46758248,255984698,28383014,36879480,36879430,28382983,21165262,21165263,15208483,15208484,21165269,28382993,36879447,46758205,39350885,36706122,28214706,21020677,21020675,28214700,36706111,46593022,57969314,60567829,49168731,49168732,58126623,64243991,52388116,52388114,256479806,33096063,33096062,42044119,52388191,42560339,33543955,33096136,25362630,18779946,13375275,9141779,9141778,13375271,18779936,25362612,33096111,33543980,42560374,39259277,30663508,30663507,39259274,49185088,60585024,52388333,52388334,64244218,77395042,91313977,257024626,70766882,58048215,57975699,46598613,46598612,42560355,36711335,36711336,28290749,28290748,36787256,40493981,31798859,31798858,40493980,50529716,58048281,70694985,70694984,70693637,57975641,46598566,36710476,36710477,46598569,46598608,36710509,28218049,21023146,15099314,15099316,21023150,28218059,36710522,36711501,36711499,46599760,57976951,48234286,48234287,55696945,44789672,44789670,55696943,57970168,46593744,36706684,28215215,21021087,21021086,28215212,36706678,28218814,28218815,36711475,46599730,57976802,46599637,46599442,46593920,38224088,255902079,22306178,29658072,36706826,36711463,46599722,57976902,57970140,57970139,70687962,70687038,57969211,46592938,46592939,57969215,70687040,57976774,46599617,46599616,46593894,36706809,28215304,21021143,21021141,22306191,16159938,11227518,7449794,7449797,11227527,16159953,22306217,29658131,28218659,21023628,15099712,10413942,6864556,4308120,2576013,1483686,1483688,2576017,4308131,6864574,10412807,15098004,15099486,10413771,6864425,6864424,10412806,6863870,6863869,254489341,2576034,2576035,4308157,6864611,10414010,10414004,6864608,4308155,2576033,2576032,4308153,6864600,4308147,2576029,1483696,839146,473109,473067,265868,265867,473065,839061,1483546,2575763,4307643,6863769,10412653,15097744,21020917,28214993,21020915,15097740,10412650,10412651,15097722,21020878,22799603,16582677,11562951,7695667,7695668,11562953,16582680,22799609,256438071,269336337,38055950,29491895,29491896,38055952,47969208,59360213,72093724,84239735,70687510,57969751,57969752,258192811,60419665,49016020,39086555,30490084,30490083,39086564,49016027,60419673,73166257,86779018,99814104,99814105,113829344,99814083,85860640,72268871,72268870,85860638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14247934, s2 = 13538325, dlinesl.size( ) = 2 s1 = 14247934, s2 = 13538325, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14247934, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 15242783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11881453, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8264499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8264499, s2 = 7964881, int(edited[s2]) = 0 s1 = 8264499, s2 = 7964881, d1 = 70, d2 = 102 Dl.O(d1) = 12138524,17258365,23569618,31053463,37291205,38593796,35022010,35022011,40026148,50019951,268547296,74275336,257055850,62809499,255553802,24628204,24628203,32223032,36807519,31048204,31048205,36807464,28352626,28352625,36850238,31845221,24628252,18174973,18174972,17253037,17253038,12889458,8766499,5708240,3552341,3552342,5708243,8766506,12889471,18175050,23828492,17490718,12332347,8330906,8330907,8145202,8145204,12114066,17232483,21138652,22103720,28311214,21101083,21101082,28311211,268424894,17252857,17252856,23563865,25478685,25478684,255526052,28347080,36844617,43037243,39727428,31048572,28223840,25050055,18513492,13153834,8965669,8965668,13153832,18513486,25050049,26138923,26138924,255992728,37984647,29421987,29421988,30198710,29420929,22090320,22090319,254974546,17196725,12092380,8131997,8131998,5209997,3178585,1860617,1061821,1061823,1860624,3178605,5210043,8132099,12092532,17196966,22091701,21823282,21823284,15984489,11096806,7359398,7359397,11096798,15718709,10881842,10881844,15718716,21777856,23858839,23858842,26950829,20066228,20066227,15724471,15724470,21783407,29081243,254974030,255741874,95079463 Dl.O(d2) = 259262141,270793464,70520482,57819572,46463588,46463589,255795460,33022154,25295922,18721555,13327128,268029934,25295916,255154874,15037167,15037166,20945783,28123401,28444673,29197118,21884766,20343816,14607427,10051364,6604819,6604816,10051358,14607415,15137100,20925418,20925419,15074166,10397068,10397069,15074169,20986776,21620887,28896422,255799322,256401993,257524049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8264499, s2 = 7964881, dlinesl.size( ) = 80 s1 = 11238647, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11883025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493311, s2 = 11239976, int(edited[s2]) = 0 s1 = 11493311, s2 = 11239976, d1 = 28, d2 = 25 Dl.O(d1) = 264420604,194004450,263907509,207009437,264164960,272826648 Dl.O(d2) = 186845189,259896966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493311, s2 = 11239976, dlinesl.size( ) = 30 s1 = 14248152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240475, s2 = 14277420, int(edited[s2]) = 0 s1 = 11240475, s2 = 14277420, d1 = 0, d2 = 16 Dl.O(d1) = 98345544,112328497,126188910,139564173 Dl.O(d2) = 262341988,175619991,164863723,164863724,164177939,152294298,262156323,164863721,164863722,175619990,175619985,164863717,153025502,140326847,140326848,261291700,175619987,175619986,164863718,153025502,140326847,126971873,258883544,99122970,259507362,260719104,140326857,140326858,260719106,152294302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 3 s1 = 11883665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240849, s2 = 11065754, int(edited[s2]) = 0 s1 = 11240849, s2 = 11065754, d1 = 13, d2 = 12 Dl.O(d1) = 84509482,70945868,255267012 Dl.O(d2) = 61658646,257209108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240849, s2 = 11065754, dlinesl.size( ) = 16 s1 = 11242331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11242331, s2 = 14940934, int(edited[s2]) = 0 s1 = 11242331, s2 = 14940934, d1 = 1, d2 = 1 Dl.O(d1) = 258685102,139967035,152665911,164510837,164510833,152665908,152665909,164510835,175282297,261660928,175282294,175282295,164510834,164510835,261110292,152665910,152665911,272184204,259672180,64617416,256655130,68090671,59343631,256138924,63915728,77027363,67553372,67553371,256201856 Dl.O(d2) = 258685102,139967035,152665911,164510837,164510833,152665908,152665909,164510835,175282297,261660928,175282294,175282295,164510834,164510835,261110292,152665910,152665911,272184204,259672180,64617416,256655130,68090671,59343631,256138924,63915728,77027363,67553372,67553371,256201856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11242331, s2 = 14940934, dlinesl.size( ) = 2 s1 = 11242331, s2 = 14940934, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11242331, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14248258, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14248258, s2 = 11287482, int(edited[s2]) = 0 s1 = 14248258, s2 = 11287482, d1 = 37, d2 = 7 Dl.O(d1) = 258669440,21367886,15388140,15388138,21367883,28601187,37109986,39042300,30452928,30452929,37527123,28983163,28983162,37526164,28982254,21699882,21699881,28982251,256889205,37526166,37525937,31299876,31299875,39974332,256528342,28984007,21701271,15660862,15660863,15660894,15660893,18557745,13186434,13186433,18557740,21699910,28982203,28982202,21701318,21701317,28984063,37528223,28984767,28984766,37528236,37526372,255854603,15659968,10840801,10840802,15659970,21699901,15659882,10840751,7166674,7166673,10840747,15659876,21699891,28982215,37526134,47433801,58820389,257469677,47434017,47434019,58820591,47435820,47435821,47435824,256528338,58820237,256168194,28982275,256347519,47433835,257613951,47688979,37767679,37767680,47688982,47433625,37525919,37525920,47294315,37385164,28845140,21573427,21573426,28845138,37385162,47294313,49936363,39918443,39918444,47433998,37526355,37526354,47433994,58820573,258703887,85119638,71548645,257579956,37526172,37526173,36992399,36992400,36992441,256877542,29773687,29773686,28982472,21700048,21700049,23758769,23758768,25968673,28494946,36992384,256455402,257642251,269833780,59641741,269813271,71550133,85120933,85970596,258873681,74193406,259357962,100968766,100968764,101769040,101769041,101769024,260052198,258251241,257059765,39918783,258251239,259497777,87796625,87796626,74193377,61414663,61414662,74193374,87796753,259497765,74193256,61414496,49936355,49936357,48600743,38684657,31243179,23758929,23758930,31243182,39918788,49936682,61414744,61414736,61414735,74193352,87796736,79023630,257849343,43123384,34047877,34047878,43123386,53624206,65672175,79023633,93139907,107545489,119226097,113951256,101769014,270353906,72730006,59992635,59992633,59992630,59992627,48600751,48600752,59992629,71998272,59261962,59261960,258110713,72388291,59653947,48267123,48267122,257456876,70839756,61332059,61332058,74114611,84957977,98883111,112870181,113359536,99357623,85414477,71826179,59085182,58824084,47437368,269322381,268423954,39938774,31263820,23778535,23778534,31263817,258253045,258067796,49955754,47685458,37763262,37763261,47685455,49955744,49955743,48267148,48267147,59653970,49396164,48647477,48647476,47434257,39743652,38002133,38002131,47917959,47959115,38045952,29482602,29482603,37526535,37526536,29201748,21889140,21889141,29201751,28985027,21702075,21702077,28985033,26678305,26678306,34671567,43945770,47685424,37763238,37763239,39467721,39467719,49396171,58820794,47434269,37526653,28982716,28982715,21889183,15812427,10957954,10957952,15812418,21889164,29201808,37763284,258719295 Dl.O(d2) = 116648312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14248258, s2 = 11287482, dlinesl.size( ) = 26 s1 = 11340375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245235, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10851059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14089616, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14942217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12277766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11229297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229297, s2 = 355492, int(edited[s2]) = 0 s1 = 11229297, s2 = 355492, d1 = 10, d2 = 0 Dl.O(d1) = 77349997 Dl.O(d2) = 8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13125812,8946453,8946456,13126434,13126432,9371488,9371494,13684605,19163851,25812462,28655944,28655946,32067133,24496078,24496080,32067073,32067069,33058945,42002592,50637596,40589795,31882766,24356243,17962154,12728593,12728592,10405918,10405917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229297, s2 = 355492, dlinesl.size( ) = 12 s1 = 2901130, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11251087, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13559144, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14090123, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11137605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15278609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11356187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356187, s2 = 13562615, int(edited[s2]) = 0 s1 = 11356187, s2 = 13562615, d1 = 8, d2 = 17 Dl.O(d1) = 140762416,140762415,127406773 Dl.O(d2) = 258733822,47860125,256377779,255882287,37372470,254962720,256198290,26603315,26603314,256721395,26603291,25831515,25831516,256187783,33826203,42867292,33826207,33826206,42867296,257834487,78623376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356187, s2 = 13562615, dlinesl.size( ) = 14 s1 = 11254847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254847, s2 = 11129982, int(edited[s2]) = 0 s1 = 11254847, s2 = 11129982, d1 = 26, d2 = 37 Dl.O(d1) = 258111812,24699779,18230011,18230012,24699780,32313322,41126387 Dl.O(d2) = 149984549,136851237,260383064,80399620,257891399,34691145,255732781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254847, s2 = 11129982, dlinesl.size( ) = 34 s1 = 11888955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11888955, s2 = 10684459, int(edited[s2]) = 0 s1 = 11888955, s2 = 10684459, d1 = 31, d2 = 26 Dl.O(d1) = 102301327,116391216,116391215,102301322,88306865,74679844,74679843,88306864,102301320,116338204,102242792,102242791,116338202,130178069,123566946,109376032,95122356,81064830,67597147,67597146,81064839,95122365,109376044,123566954,128383149,123549394,123549395,270135636,123566964,109376052,109357899,95103763,95103762,100485009,95103760,95103761,86526472,72928187,72928186,67578629,67578628,60188845,48792231,38869934 Dl.O(d2) = 261821480,92983774,78872014,65536462,53511969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11888955, s2 = 10684459, dlinesl.size( ) = 2 s1 = 11888955, s2 = 10684459, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11888955, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 6526659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6526659, s2 = 11256318, int(edited[s2]) = 0 s1 = 6526659, s2 = 11256318, d1 = 20, d2 = 12 Dl.O(d1) = 255586726,25298402,33024867,41967901,44661016,55522140,67872639,81339512,95388895,260052835 Dl.O(d2) = 258286518,81339512,95388894,86683126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6526659, s2 = 11256318, dlinesl.size( ) = 2 s1 = 6526659, s2 = 11256318, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 6526659, Dl.E( ) = 22, 1.6e-05 seconds used appending s1 = 10480023, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11257971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10509818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10245810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11259977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259977, s2 = 14140920, int(edited[s2]) = 0 s1 = 11259977, s2 = 14140920, d1 = 22, d2 = 41 Dl.O(d1) = 261405889,158465471 Dl.O(d2) = 188965801,196727382,274036511,273288474,208937686,213511381,274228033,264412936,217257891,220377672,274373213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259977, s2 = 14140920, dlinesl.size( ) = 42 s1 = 12279644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11261219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261219, s2 = 14063488, int(edited[s2]) = 0 s1 = 11261219, s2 = 14063488, d1 = 22, d2 = 36 Dl.O(d1) = 105446197,119684898,272367589,150435442,137395993,129501702 Dl.O(d2) = 27047428,27047430,35133048,44509881,257008627,39141980,49072165,60475358,67696447,67696448,67696450,67646995,55307940,256180026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261219, s2 = 14063488, dlinesl.size( ) = 34 s1 = 10479543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8476797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8476797, s2 = 10221449, int(edited[s2]) = 0 s1 = 8476797, s2 = 10221449, d1 = 1, d2 = 1 Dl.O(d1) = 36994560,46873366,58240983,70957702,84521101,98442739,112431557,112431556,123725230,109533365,95278602,95278601,109533356,109533355,123725220,137453096,139666429,152387422,150488377,150488379,137453116,123725242,109533374,95278606,95278565,259795469,120317295,259681873,91926429,106119037,106119036,106119037,120317293,260999489,126295235,123725230,123725227,137453103,147356530,134146194,134146195,147356531 Dl.O(d2) = 36994560,46873366,58240983,70957702,84521101,98442739,112431557,112431556,123725230,109533365,95278602,95278601,109533356,109533355,123725220,137453096,139666429,152387422,150488377,150488379,137453116,123725242,109533374,95278606,95278565,259795469,120317295,259681873,91926429,106119037,106119036,106119037,120317293,260999489,126295235,123725230,123725227,137453103,147356530,134146194,134146195,147356531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8476797, s2 = 10221449, dlinesl.size( ) = 2 s1 = 8476797, s2 = 10221449, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8476797, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11263643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263643, s2 = 11245712, int(edited[s2]) = 0 s1 = 11263643, s2 = 11245712, d1 = 32, d2 = 16 Dl.O(d1) = 259639238,134637325,261420110 Dl.O(d2) = 259977054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263643, s2 = 11245712, dlinesl.size( ) = 32 s1 = 8430572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264453, s2 = 11445124, int(edited[s2]) = 0 s1 = 11264453, s2 = 11445124, d1 = 37, d2 = 22 Dl.O(d1) = 106893443,272730947,260649800,86593234,257577472,256997037,255508669,7789903,7789904,11681918,16723684,22959521,255268343,9254780,6061189,5410325,5410326,6061116,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700256,10700251,13514615,11914255,11914256,9247487,9246756,9246757,13511077,12052477,8103195,5191947,3168179,1854941,1058772,1058769,1854932,3168150,5191899,8103133,8108551,12059795,17156384,21234443,19595645,14040478,9653860,9653859,12057331,13504009,13504007,13506858,9241436,6052583,3787496,2269160,1316180,751062,751061,1316176,2269149,3787475,4370962,2618599,1511842,1511844,2618603,4370974,6956759,8111042,6058568,6058569,7204266,7204265,10893478,15730163,17040311,13525232,9263783,6067617,6067616,9263778,12068644,17157249,13515533,9248256,6056872,3789920,2270435,1316839,751381,751382,1316841,268749738,256136657,42305445 Dl.O(d2) = 259042879,260285595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264453, s2 = 11445124, dlinesl.size( ) = 24 s1 = 11035855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035855, s2 = 11490056, int(edited[s2]) = 0 s1 = 11035855, s2 = 11490056, d1 = 0, d2 = 41 Dl.O(d1) = 21935940,29256592 Dl.O(d2) = 229890505,231321500,266392348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035855, s2 = 11490056, dlinesl.size( ) = 22 s1 = 11892589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13381435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8335351, s2 = 8281389, int(edited[s2]) = 0 s1 = 8335351, s2 = 8281389, d1 = 1, d2 = 12 Dl.O(d1) = 67709315 Dl.O(d2) = 259164829,257915509,55369622,67709317,259792317,258108583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8335351, s2 = 8281389, dlinesl.size( ) = 2 s1 = 8335351, s2 = 8281389, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8335351, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 14094328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14249036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14249036, s2 = 11052050, int(edited[s2]) = 0 s1 = 14249036, s2 = 11052050, d1 = 7, d2 = 15 Dl.O(d1) = 259809886,259809888,272101856,175980472,261011230 Dl.O(d2) = 259809892,153487393,165283572,259183758,113571638,258555334,259809890,260421092,153487391,140806585,140806586,153487393,165283572,259183758,99555780,256240568,71995562,59279613,254987634,37964340,37944203,29742342,29742340,38310937,256762526,39132512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14249036, s2 = 11052050, dlinesl.size( ) = 2 s1 = 14249036, s2 = 11052050, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14249036, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 14249064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14249064, s2 = 6644224, int(edited[s2]) = 0 s1 = 14249064, s2 = 6644224, d1 = 34, d2 = 33 Dl.O(d1) = 257561772,31318518,31318519,39995572,37473163,28931761,21654337,21654338,28931765,36492489,36492488,259249469,261602337,129003179 Dl.O(d2) = 73395929,73395928,60649537,256889066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14249064, s2 = 6644224, dlinesl.size( ) = 32 s1 = 10986287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986287, s2 = 11271860, int(edited[s2]) = 0 s1 = 10986287, s2 = 11271860, d1 = 0, d2 = 12 Dl.O(d1) = 2104627,2104629,1680135,1680140,2895228,2428040,1404581,1404578,2427981,2427942,255322007 Dl.O(d2) = 258523273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986287, s2 = 11271860, dlinesl.size( ) = 18 s1 = 14923592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14923592, s2 = 11272840, int(edited[s2]) = 0 s1 = 14923592, s2 = 11272840, d1 = 15, d2 = 7 Dl.O(d1) = 60598822,49198154,39271956,30675580,23259506,16996586 Dl.O(d2) = 5044043,3054505,3054506,5044046,3955843,2368933,2368934,2368906,1371311,780577,780576,1371310,2368902,3955777,6311586,7966881,7966880,268096237,22949578,268963111,259431759,259972091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14923592, s2 = 11272840, dlinesl.size( ) = 8 s1 = 14095438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6953369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6953369, s2 = 14356051, int(edited[s2]) = 0 s1 = 6953369, s2 = 14356051, d1 = 17, d2 = 27 Dl.O(d1) = 260559906 Dl.O(d2) = 193565344,200678797,200678795,193565342,185266557,175754006,165021333,153202265,140519499,257480888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6953369, s2 = 14356051, dlinesl.size( ) = 12 s1 = 15257615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11895505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11895505, s2 = 11508498, int(edited[s2]) = 0 s1 = 11895505, s2 = 11508498, d1 = 7, d2 = 7 Dl.O(d1) = 127267358,140613246,262690975 Dl.O(d2) = 127267358,140613246,262690975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11895505, s2 = 11508498, dlinesl.size( ) = 2 s1 = 11895505, s2 = 11508498, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11895505, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15203972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15928302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14249360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11307319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307319, s2 = 6963689, int(edited[s2]) = 0 s1 = 11307319, s2 = 6963689, d1 = 32, d2 = 26 Dl.O(d1) = 259455512,114011578,99985754,86024412,256475564,48304308,38393813 Dl.O(d2) = 260671119,142268926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307319, s2 = 6963689, dlinesl.size( ) = 31 s1 = 11282933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11282933, s2 = 6762012, int(edited[s2]) = 0 s1 = 11282933, s2 = 6762012, d1 = 40, d2 = 26 Dl.O(d1) = 260676339,142429591,262263038,129055442,126794891,112940613 Dl.O(d2) = 258176347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11282933, s2 = 6762012, dlinesl.size( ) = 18 s1 = 11388165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388165, s2 = 8740570, int(edited[s2]) = 0 s1 = 11388165, s2 = 8740570, d1 = 31, d2 = 46 Dl.O(d1) = 262890085 Dl.O(d2) = 177696040,186974197,195057602,201974301,207792400,212589015,216509438,219760978,265427653,226907400,228689399,228689406,266022879,229253856,227553105,225608807,223373182,220786631,220786630,220103445,264645410,264594142,264011474,120986926,106734256,92428493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388165, s2 = 8740570, dlinesl.size( ) = 8 s1 = 2879900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14634634, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14634634, s2 = 785921, int(edited[s2]) = 0 s1 = 14634634, s2 = 785921, d1 = 12, d2 = 0 Dl.O(d1) = 123677410 Dl.O(d2) = 20169342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14634634, s2 = 785921, dlinesl.size( ) = 18 s1 = 14249616, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15243588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15243588, s2 = 12284023, int(edited[s2]) = 0 s1 = 15243588, s2 = 12284023, d1 = 0, d2 = 0 Dl.O(d1) = 259005033,63872115,52053055,41738219,41738218,52053053,63872114,76982914 Dl.O(d2) = 259005033,63872115,52053055,41738219,41738218,52053053,63872114,76982914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15243588, s2 = 12284023, dlinesl.size( ) = 2 s1 = 15243588, s2 = 12284023, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15243588, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 12284024, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11290743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16299842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16299842, s2 = 15309233, int(edited[s2]) = 0 s1 = 16299842, s2 = 15309233, d1 = 11, d2 = 3 Dl.O(d1) = 258003916,64176822 Dl.O(d2) = 52325422,41984800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16299842, s2 = 15309233, dlinesl.size( ) = 6 s1 = 423467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 423467, s2 = 8410483, int(edited[s2]) = 0 s1 = 423467, s2 = 8410483, d1 = 60, d2 = 53 Dl.O(d1) = 10767455,10767456,10767462,15567137,21593790,28868532,37409746,260971413,122928212,261426374 Dl.O(d2) = 66892320,80320680,94376273,100804814,100804815,114856306,128754355,128754359,114856309,100804816,260060573,128754357,260262176,114856303,108663796,259534822,258287474,54634755,66892320,80320680,94376273,100804814,86823583,73211006,73211005,86823581,100804812,114856302,114856312,100804819,100804820,108663793,94376257,80320667,76944431,63837390,257172869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 423467, s2 = 8410483, dlinesl.size( ) = 54 s1 = 9154094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14105161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11901693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6715521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6715521, s2 = 4897020, int(edited[s2]) = 0 s1 = 6715521, s2 = 4897020, d1 = 41, d2 = 64 Dl.O(d1) = 257644579,74216830 Dl.O(d2) = 194592032,262932688,177084486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6715521, s2 = 4897020, dlinesl.size( ) = 38 s1 = 11296997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296997, s2 = 7036092, int(edited[s2]) = 0 s1 = 11296997, s2 = 7036092, d1 = 74, d2 = 72 Dl.O(d1) = 262083507,173534809 Dl.O(d2) = 261675152 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296997, s2 = 7036092, dlinesl.size( ) = 36 s1 = 11297279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14956952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10835923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298145, s2 = 11011704, int(edited[s2]) = 0 s1 = 11298145, s2 = 11011704, d1 = 11, d2 = 16 Dl.O(d1) = 267897214,35345345,37438970,28898516,21623267,16517930,11511537,7657740,7657741,11511544,7658294,4845583,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436 Dl.O(d2) = 254297135,5954739,9100947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298145, s2 = 11011704, dlinesl.size( ) = 9 s1 = 14957180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14957180, s2 = 16353672, int(edited[s2]) = 0 s1 = 14957180, s2 = 16353672, d1 = 106, d2 = 104 Dl.O(d1) = 273385020,162766181,173765962,273300084,274012623,274599979,221956282,264983927 Dl.O(d2) = 274724519,231391914,265274860,228362637,228362636,226534373,274224004,228362639,226534369,224436210,222020851,219207853,215874769,211844830,206911992,200940430,193861948,185605073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14957180, s2 = 16353672, dlinesl.size( ) = 2 s1 = 14957180, s2 = 16353672, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14957180, Dl.E( ) = 108, 3.5e-05 seconds used appending s1 = 13611428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14957614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14957614, s2 = 14278219, int(edited[s2]) = 0 s1 = 14957614, s2 = 14278219, d1 = 6, d2 = 6 Dl.O(d1) = 270903160,163614448,261291100,129820697,129820696 Dl.O(d2) = 270903160,163614448,261291100,129820697,129820696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14957614, s2 = 14278219, dlinesl.size( ) = 2 s1 = 14957614, s2 = 14278219, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14957614, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11109579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12285650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11302589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11302589, s2 = 14278259, int(edited[s2]) = 0 s1 = 11302589, s2 = 14278259, d1 = 9, d2 = 12 Dl.O(d1) = 126609543,127211677,127211678,140557294,152663013,164508226,172585516,172585515,182519437,273482014,175180296,262041978 Dl.O(d2) = 112567584,259097670,259299591,112567583,126436736,139810054,262169911,175180289,184754375,273850473,262687006,182519451,175787102,261140478,140557295,127211681,127211680,127211679,134900408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11302589, s2 = 14278259, dlinesl.size( ) = 14 s1 = 11116483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116483, s2 = 15617754, int(edited[s2]) = 0 s1 = 11116483, s2 = 15617754, d1 = 18, d2 = 27 Dl.O(d1) = 257532193,72405754,86001928,260008299,127860902,127860903,127860904,113983295,99960579 Dl.O(d2) = 257614851,39476168,30872284,23443441,17169052,12072065,8117884,5200696,5200695,5200721,8117918,8117914,12072107,17169114,23443534,23442211,23442210,28379636,30689389,23273480,23273479,29406350,268416048,29406302,29406298,29406299,37969693,29405659,29405658,37969688,38621175,30047464,22672088,22672087,29405557,27096376,20197065,14491773,9971030,9971029,14491771,20197061,20197071,20197070,27096379,35185141,37969615,37969613,29405541,29405540,29405616,22074971,22074974,29405575,22074908,15969452,15969451,15969521,22075001,29405645,36875751,36875750,28381355,28381354,254799002,35185138,35185139,44563401,255944602,37819121,31816510,28364043,21148179,21148178,21163708,15970054,11085124,7350975,4643279,2796916,2796915,4643266,7350943,11085073,10489888,10489890,15207349,21148161,15194844,15194845,21148144,15207396,15207398,15207379,10489917,10489918,15207387,15206538,10489116,7350891,4643240,2796893,1622417,1622416,2796886,4643227,6916870,4344793,4344792,5190009,5190010,6918038,6918035,4346002,4346003,6918049,10491238,11085210,7351033,7351032,11085206,15970215,15206425,15206426,255357213,14913896,15206863,15206736,10489337,10489336,8101110,5190180,5190179,6916279,4344316,2601261,1500778,1500777,2601256,4344309,6916270,4344652,2601495,1500945,850693,850694,1500951,2601507,4344630,6916663,6916482,6916481,6915699,6915700,6915520,6915499,6915498,6915000,4343266,2600513,2600514,4343270,6915007,10487738,6915553,4343703,4343704,4344613,6916648,10487401,6916348,6916346,8101069,8101071,6916420,4344428,4344427,4344368,2601307,1500801,850602,850604,1500708,2601138,2601236,1500772,1500773,2601243,2601250,1500995,850712,480468,270425,270426,480473,850720,1058018,1500963,1500965,2600865,1500533,850444,850445,1500536,2600874,2796188,2796189,4343053,2600370,2600369,4343047,4343426,4343448,4343446,2601483,2601482,4344620,6915442,4343623,4343622,6915438,4345570,4345567,6916450,4344454,2601374,1500856,850633,480425,480424,850627,1500665,850525,480375,480373,480385,480384,850541,850509,850506,1500619,850500,850483,850484,519805,291419,270340,149882,149881,270337,480279,850362,1500365,2600589,2796254,4343303,2600533,2600534,4343306,6914695,4343002,4343001,4344485,2796272,2796271,2601776,2600734,1500451,1500450,1603293,1603294,2765893,2601192,1621561,922053,519789,480450,480449,850617,1500827,2601345,2601078,2601075,1621615,922085,519811,291422,291425,519828,331724,182681,182680,270564,270565,480727,851136,1501021,850727,850728,850948,480611,270499,270498,480609,850943,1501359,2602060,4345278,2602220,1501502,1501504,851046,480678,270533,149973,82505,45143,25072,25070,267735979,254084869,480613,850952,1501375,2602080,4345300,254349450,2602252,1622012,922356,254099637,291509,519990,922354,851052,254097419,254097421,270494,270493,480588,291501,291502,519979,922336,1621979,2796274,4345297,4345764,3166887,3166888,5190403,4345295,2602077,1501371,1501370,1058154,1058155,1501322,1501330,850925,480599,270496,270497,480601,850928,1501336,1853947,1853948,2602255,2602256,4345268,3167034,3167036,3167116,3167629,2602010,1501319,850918,480593,480594,595212,1058479,1058486,1058485,1854529,3167646,5191260,5190858,3167243,2801977,1625372,924201,924200,924744,1626277,1626283,1626282,2063299,1184167,665169,368951,368950,665163,1184161,2063267,3477286,4345242,2602023,2602022,4345241,6917294,4345247,3480572,3480571,5190393,3167045,1854057,1854058,3167049,5190630,5189601,254573827,6917699,6917700,10490903,8101749,5190651,5190650,8101747,12050633,12051254,8102302,5191254,5191255,254721893,6917697,7364721,254764190,4651956,7364450,254387157,1854059,1854060,254234730,924694,1626185,2803222,4653161,4651633,4651632,2801975,2801974,4651640,7364104,11104301,11104996,7364728,4652214,4652215,7364732,7364759,7364761,10492343,6918799,5601207,5601206,4652478,4652477,5609980,7449674,8621619,8621620,12691359,11105969,7365670,4653045,254237132,1626114,1626056,924618,521229,521230,924622,1626068,924697,924699,935354,935367,935365,267790269,4706888,2835525,2835526,4706850,2835441,2835440,4706848,7449692,10466843,10466842,7363910,7363911,7365830,7365831,7449909,11227617,16160020,12685809,8616785,8616783,12685805,8617792,8617791,10492340,7365692,5190637,3167054,1854063,1854064,3167059,5190641,7364769,4652247,2802516,1626027,924599,521220,292172,292173,521224,924612,935361,527147,295355,295356,527152,935371,1644944,2835472,4706897,4706957,7449818,8617798,11104962,7364686,4652172,4652171,5602407,5602409,3484135,2068740,2068741,3484116,4652841,4652840,5609794,4706832,4706833,5602346,3478082,3478083,3484151,3484152,4653072,5601506,3477176,3477177,5601508,3479328,2064875,2064874,3479324,2802953,1626020,1626019,1626032,924601,924602,1626035,2802980,2835462,4706875,7449722,8618666,8617762,5602315,3478064,3478065,5602317,8617763,11105980,11105928,7365612,4652988,4652989,5609789,3484119,2068730,2068732,3484122,5602420,8617555,5602997,5602996,8618655,5603831,5603830,8619662,5604123,254349477,1621992,922343,922344,1621993,2796301,4642529,7350001,5605444,3483244,2067871,2067873,3483249,3476998,2063518,1184304,665229,665228,1184300,2063510,3477571,3484223,2068818,2064674,1185036,1185011,1185012,2064630,2064032,1184606,665411,369068,369069,665414,1184610,1187785,667313,370187,202685,202684,370182,667307,843604,1490080,2585230,4321755,6884553,8617599,5605089,5604396,5604397,5609050,3483381,3483380,3478099,2063949,1187057,666883,666882,1187055,1187296,2068191,3477546,2063500,2063501,3477549,5601872,8617358,8617914,5602464,3478955,2064636,2064637,3477519,3477520,2064533,1184948,254194359,666491,666492,666494,666493,1186411,2066892,2067026,2067028,2065644,1185610,1185607,2065631,1186265,1186267,2066679,3481714,5606884,5606883,3484562,2069047,1187942,667396,667395,1184933,665591,665592,1184936,2064512,3477822,2063712,2063711,3477821,5202448,3173985,3173986,2063590,1184348,665263,368999,202057,202055,368991,665253,666692,666422,666421,1060423,1858151,1187169,1060196,596094,332304,182957,100323,100324,182961,332311,596104,369481,369482,666172,666553,1186485,2067008,3173439,2066526,1186170,254140376,2065992,1185822,666113,666115,1060070,1857590,3173413,2067512,1186808,1186811,2067523,2067384,2066693,2066691,3481726,3477612,2063545,1184322,1184323,2063550,3477623,2066659,1186260,666390,369626,369624,596213,332374,182994,100343,55324,31203,31204,55329,100354,183014,332413,596281,1060498,1858267,3173521,1857668,1060118,1060119,1857672,3173533,3173690,3173688,5201938,3173585,1857722,1857723,3173589,4756728,5201544,3173272,1857508,1060016,595991,332248,182930,182926,332229,595944,1059898,1857264,254387823,254829323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116483, s2 = 15617754, dlinesl.size( ) = 6 s1 = 14250052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9181426, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15925902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11906015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11151019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151019, s2 = 7096671, int(edited[s2]) = 0 s1 = 11151019, s2 = 7096671, d1 = 0, d2 = 35 Dl.O(d1) = 48752587,38832534,38832532,30248976,30248977,38832533,47179563,37273553,28741268,28741262,28741261,37273548,37993463,29431250,22099481,17458010,12307324,255171491 Dl.O(d2) = 187025230,195104887,202018044,195104890,187025231,177750964,177750963,187025229,189821871,262516142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151019, s2 = 7096671, dlinesl.size( ) = 22 s1 = 16391961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16391961, s2 = 12286667, int(edited[s2]) = 0 s1 = 16391961, s2 = 12286667, d1 = 30, d2 = 37 Dl.O(d1) = 158578485,169944400,180120403 Dl.O(d2) = 141400583,128032224,114143296,100109616,86143476,86143473,72545163,72545164,258088410,256898964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16391961, s2 = 12286667, dlinesl.size( ) = 2 s1 = 16391961, s2 = 12286667, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16391961, Dl.E( ) = 50, 1.72e-05 seconds used appending s1 = 12286668, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11308393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16110633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16110633, s2 = 11613774, int(edited[s2]) = 0 s1 = 16110633, s2 = 11613774, d1 = 160, d2 = 125 Dl.O(d1) = 263353515,273791067,209478139,213940787,217604029,220661137,223261375,224661035,222276420,219499102,216211384,212244441,207388724,264252009,194502284,273448836 Dl.O(d2) = 241434941,241848641,241896012,241486117,274891239,242274357,242625016,242951397,267223223,267251229,244049961,244277885,244489808,267367357,244489809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16110633, s2 = 11613774, dlinesl.size( ) = 72 s1 = 2591929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12287428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6875091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6875572, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6875572, s2 = 7272456, int(edited[s2]) = 0 s1 = 6875572, s2 = 7272456, d1 = 27, d2 = 46 Dl.O(d1) = 259518735 Dl.O(d2) = 264820331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6875572, s2 = 7272456, dlinesl.size( ) = 68 s1 = 14103390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11316879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316879, s2 = 14066874, int(edited[s2]) = 0 s1 = 11316879, s2 = 14066874, d1 = 32, d2 = 27 Dl.O(d1) = 118045955,103904254,258969761,32360476 Dl.O(d2) = 8826170,5750905,254630569,12967190,12967189,8826204,5750934,3580892,2133808,2133807,3580888,5750929,254431213,3580833,5750828,8826023,12967143,15449468,10681771,10681769,15449466,21445891,28697616,22303788,255901853,24744046 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316879, s2 = 14066874, dlinesl.size( ) = 24 s1 = 11909603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11317521, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10495252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104054, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12288178, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1467480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14250442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14962940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14962940, s2 = 14298461, int(edited[s2]) = 0 s1 = 14962940, s2 = 14298461, d1 = 1, d2 = 1 Dl.O(d1) = 146988178,133725309,271613508,159371809,170722854,180865036,262546820,170722852,159371808,159371809,170722854,180865036,262546820,263718439 Dl.O(d2) = 146988178,133725309,271613508,159371809,170722854,180865036,262546820,170722852,159371808,159371809,170722854,180865036,262546820,263718439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14962940, s2 = 14298461, dlinesl.size( ) = 2 s1 = 14962940, s2 = 14298461, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14962940, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11910291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11319379, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11319975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11319975, s2 = 11557226, int(edited[s2]) = 0 s1 = 11319975, s2 = 11557226, d1 = 22, d2 = 55 Dl.O(d1) = 259667984 Dl.O(d2) = 265296842,215209670,215209671,265351487,265157891,274311294,265157889,265687099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11319975, s2 = 11557226, dlinesl.size( ) = 18 s1 = 12288794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11323667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323667, s2 = 11240276, int(edited[s2]) = 0 s1 = 11323667, s2 = 11240276, d1 = 5, d2 = 16 Dl.O(d1) = 122975260,122975261 Dl.O(d2) = 94422768,80369235,66943807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323667, s2 = 11240276, dlinesl.size( ) = 12 s1 = 11325285, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13641446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14250608, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14250608, s2 = 14332499, int(edited[s2]) = 0 s1 = 14250608, s2 = 14332499, d1 = 45, d2 = 29 Dl.O(d1) = 97711957,83852865,83852866,97711960,111633238,125436240,138765299,151466662,138765285,259864180,258618938,111633226,259864182,97711946,83852860,257994932,70327557,83852864,97711954,111633224,260465906,125436233,138765286,151466667,151466669,272510170,151466668,273082220,273314201,205821331,264513899 Dl.O(d2) = 259904783,84452917,70896453,257424381,36937589,28438117,21212920,21212919,28438116,36937587,28438120,28438119,36937583,258658739,84452908,259428624,70896440,70896439,84452906,271297731,126204782,112344516,98362301,259904781,126204783,139579711,152309207,164192091,175007537,184607843,176979198,166387571,262242130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14250608, s2 = 14332499, dlinesl.size( ) = 2 s1 = 14250608, s2 = 14332499, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14250608, Dl.E( ) = 50, 1.5e-05 seconds used appending s1 = 14004313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328507, s2 = 7666816, int(edited[s2]) = 0 s1 = 11328507, s2 = 7666816, d1 = 126, d2 = 180 Dl.O(d1) = 260081860,164337966,175132272 Dl.O(d2) = 271778776,38217656,38217655,40229732,31543397,24040116,17688271,12510005,12510006,17688272,24040118,31543401,30702260,24718854,18245727,18245728,23941758,17597298,12421008,8395064,5417507,5417489,5417488,8395035,12420961,17597210,17595427,12419801,8394405,5417132,3330128,1958510,1958511,1958503,1958501,3330108,5417102,8394347,12419697,17595266,23939207,17597530,12421140,8395129,5417536,5417538,8395134,12421151,16179648,16179649,22325074,29676078,23942032,17597514,12421130,8395123,8395125,8395378,12421582,17598217,23942884,31431263,23941175,23941176,31429045,31331633,23839935,23839938,17598247,17598246,23942907,31331477,31435150,255923176,23817099,23817100,23943677,21073156,21073154,28277130,31430792,23939625,17595566,12419880,12419881,13416833,13416831,18831229,16400986,16400983,22583527,16598275,16598277,17066042,17066040,23332593,30755145,255890458,60684108,269806444,65362858,53359522,42893838,33849245,26028497,19351555,13840287,254668479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328507, s2 = 7666816, dlinesl.size( ) = 52 s1 = 11913507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10614908, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15005021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12290200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14107169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16316607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11915625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493917, s2 = 11335400, int(edited[s2]) = 0 s1 = 11493917, s2 = 11335400, d1 = 5, d2 = 9 Dl.O(d1) = 212116718 Dl.O(d2) = 263188776,141618676,271356512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493917, s2 = 11335400, dlinesl.size( ) = 8 s1 = 14250878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14250878, s2 = 11115546, int(edited[s2]) = 0 s1 = 14250878, s2 = 11115546, d1 = 66, d2 = 39 Dl.O(d1) = 215604066,263204086,200500329,193351001,261240426,164726543,152894910,258825516,113004047,126856840,140204162,152894911,164726545,175480356,185020306,193351004 Dl.O(d2) = 256215833,20070556,14387006,9892619,9892618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14250878, s2 = 11115546, dlinesl.size( ) = 18 s1 = 10969864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11916993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15646911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15646911, s2 = 13437772, int(edited[s2]) = 0 s1 = 15646911, s2 = 13437772, d1 = 41, d2 = 48 Dl.O(d1) = 254450576,53545906,65570707,78905792,93015935,107424655,257219058,86391863,86391862,100348905,89459551,75694316,75694315,89459549,85390583,85390581,99334219,113336560,127194889,140540538,153222063,165040314,175771984,175771982,165040309,153222058,140540534,140540533,153222056,261282429,260112323,101762606,115808684,129707358,261825211,155588155,155551769,261516496,115779218,101734144,87761586,74157334,61376865,49896396,49896395,47563279,258088447,85232586,99154671,113144597,261134381,126391581,112521187,259297101 Dl.O(d2) = 30508598,30508599,38145066,29578853,29578852,38145065,47917597,47917598,41956811,38208307,38208306,48058421,38145311,38145120,34111176,34111175,34111252,43197387,43197386,38145338,34675630,33014448,25289410,25289409,33014444,41956814,42164968,33204779,33204780,42164956,43197373,34111212,26247258,26247259,26247244,19530031,19530032,26247246,34111191,43197349,38145061,29578849,22231200,22231199,29578846,38145057,29578883,29578884,29578941,29578939,38145161,38145074,38145075,48058281,48058310,38145130,38145129,38145114,38145113,29578904,22231235,16096637,16096638,22231241,19530053,19530052,22231406,29579121,25289418,18716469,254914111,9103294,13323332,18716475,25289425,25289424,25289423,33014463,38174849,48087123,59477175,72214585,259374967,113776802,113776805,99762608,99762609,260592869,127644975,127644976,140993156,127864762,127864761,141223940,153659238,272215512,113986805,259390512,59673039,48285924,48285925,59673038,59673032,48285920,48285919,38375209,29803438,256410057,257532515,48285918,59673031,72408327,67738842,55399848,257318193,35175828,27087803,20189808,20189809,256226991,20189810,14486245,14486244,9967279,9967278,6550720,4103828,2454731,1418972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15646911, s2 = 13437772, dlinesl.size( ) = 18 s1 = 13988823, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11341559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11341865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11341865, s2 = 11482504, int(edited[s2]) = 0 s1 = 11341865, s2 = 11482504, d1 = 9, d2 = 1 Dl.O(d1) = 144698142,157099565,168547966 Dl.O(d2) = 157099565,262869073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11341865, s2 = 11482504, dlinesl.size( ) = 12 s1 = 10177747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10177747, s2 = 11249200, int(edited[s2]) = 0 s1 = 10177747, s2 = 11249200, d1 = 69, d2 = 54 Dl.O(d1) = 25004958,32683934,41580809,51872932,63669899,76762598,76762600 Dl.O(d2) = 258657351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10177747, s2 = 11249200, dlinesl.size( ) = 42 s1 = 10996515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996515, s2 = 11568060, int(edited[s2]) = 0 s1 = 10996515, s2 = 11568060, d1 = 39, d2 = 37 Dl.O(d1) = 4796246,2891114,1678079,1678080,1677933,954683,954684,1677925,1680746,1680745,2890697,4795471,6813068,4796405,2891206,1678122,954768,954765,1678114,1711578,1711573,2951299,4897074,7734879,11554488,11562842,7695583,4901395,4901394,7740797,7744671,7746961,7746960,11430843,7605334,7605335,255102323,256420375,48441626 Dl.O(d2) = 226344542,265982287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996515, s2 = 11568060, dlinesl.size( ) = 8 s1 = 11918435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13602027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11918687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11918687, s2 = 7143480, int(edited[s2]) = 0 s1 = 11918687, s2 = 7143480, d1 = 77, d2 = 49 Dl.O(d1) = 159126739,262916113,189514549,197210179,264044719 Dl.O(d2) = 263162113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11918687, s2 = 7143480, dlinesl.size( ) = 18 s1 = 14794593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14794593, s2 = 6886817, int(edited[s2]) = 0 s1 = 14794593, s2 = 6886817, d1 = 8, d2 = 16 Dl.O(d1) = 232745829 Dl.O(d2) = 259670031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14794593, s2 = 6886817, dlinesl.size( ) = 26 s1 = 12292202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11919653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11919653, s2 = 7314159, int(edited[s2]) = 0 s1 = 11919653, s2 = 7314159, d1 = 0, d2 = 35 Dl.O(d1) = 160594155,171793357,263380975,171793357,263380977,264085633,209850009,209850010 Dl.O(d2) = 265915036,227584302,227197103,225196252,265310086,202966915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11919653, s2 = 7314159, dlinesl.size( ) = 40 s1 = 2551400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13381375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6893009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10694799, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11663550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6636846, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16220190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16220190, s2 = 2645922, int(edited[s2]) = 0 s1 = 16220190, s2 = 2645922, d1 = 63, d2 = 16 Dl.O(d1) = 32561789,257157367,63406504 Dl.O(d2) = 74628405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16220190, s2 = 2645922, dlinesl.size( ) = 28 s1 = 14115056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115056, s2 = 8572139, int(edited[s2]) = 0 s1 = 14115056, s2 = 8572139, d1 = 15, d2 = 13 Dl.O(d1) = 37131686,43036962,268383018,255032852,3922649,3922650,4418999,7025596,10641546,255032685,21379118,256320537,255830127,21379118,256860457,58384555,258674133,271769791 Dl.O(d2) = 139823223,152539529,262654224,152539525,261465272,71101313,257816284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115056, s2 = 8572139, dlinesl.size( ) = 6 s1 = 14680513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14251308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6952039, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15244560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10422208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14677020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14677020, s2 = 7022504, int(edited[s2]) = 0 s1 = 14677020, s2 = 7022504, d1 = 41, d2 = 26 Dl.O(d1) = 260935111,148918298,152487127,139766478,126391075,261096597,152487130,164354612,175147467,184724759,193087526,200264498,200264497,200264494,193087520,184724756,175147473,164354616,152487133,139766482,139766481,152487131,164354614,263094065,184724762,184724760,193087523,193087524,200264491,200264497,200264494,193087519,184724753,175147462,175147461,175147465,164354609,152487128,139766478,126391075,261096597,152487130,164354612,175147467,184724758 Dl.O(d2) = 261477154,134883906,121081761,106821864,92510188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14677020, s2 = 7022504, dlinesl.size( ) = 2 s1 = 14677020, s2 = 7022504, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14677020, Dl.E( ) = 42, 1.6e-05 seconds used appending s1 = 3177251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11197745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11924595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7646355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7646355, s2 = 6914595, int(edited[s2]) = 0 s1 = 7646355, s2 = 6914595, d1 = 56, d2 = 65 Dl.O(d1) = 270833305 Dl.O(d2) = 261761794,260038718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7646355, s2 = 6914595, dlinesl.size( ) = 30 s1 = 9247870, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14112702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112702, s2 = 11599948, int(edited[s2]) = 0 s1 = 14112702, s2 = 11599948, d1 = 85, d2 = 57 Dl.O(d1) = 155915170,263250929,195298784,202182700,264570821,216644801,265250749 Dl.O(d2) = 266812995,239030602,239620348,266970353,267020246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364085, s2 = 14084238, int(edited[s2]) = 0 s1 = 11364085, s2 = 14084238, d1 = 8, d2 = 16 Dl.O(d1) = 260742674,61885889 Dl.O(d2) = 102300076,88305702,88305703,102300066,260145326,88305698,74678891,61885890,50395597,40360257,31665533,255585078,1158003,1158001,2023519,3425053,5539843,8542092,12590507,17770705,14125117,9717812,6392931,4011927,2404416,2404417,2404584,2404492,2404489,4012055,6393157,4881604,4881603,7712983,11587402,16612834,19596539,19596540,17362665,17362664,23682901,24091048,17733537,12546944,12546940,17733529,22662487,30038011,24153043,17785799,12588296,8540539,8540540,12588306,17745571,24099376,17786848,17786846,19228869,19228871,25888568,24168266,254280436,254612384,28209512,22183332,16056579,11148733,11148734,16056581,17769224,24132744,24181372,31588874,24084205,17726867,17726866,17439893,12293421,12293420,17439891,12590515,12590516,17788694,24155804,26439653,25888467,19228739,19228740,18326814,13009331,13009329,12600559,8550967,8550966,12576882,12576881,9720361,9720360,254237268,8490821,9720674,14129775,19706296,26445327,21795091,15735949,15735950,21795092,27982207,27982208,36441233,46294169,46647662,255585470,21063455,15129854,10435425,10435424,256833131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364085, s2 = 14084238, dlinesl.size( ) = 12 s1 = 11364263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364263, s2 = 10643332, int(edited[s2]) = 0 s1 = 11364263, s2 = 10643332, d1 = 0, d2 = 17 Dl.O(d1) = 156141921,167744010 Dl.O(d2) = 262340308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364263, s2 = 10643332, dlinesl.size( ) = 14 s1 = 11224555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224555, s2 = 11364350, int(edited[s2]) = 0 s1 = 11224555, s2 = 11364350, d1 = 0, d2 = 15 Dl.O(d1) = 88424142,102425515 Dl.O(d2) = 260753619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224555, s2 = 11364350, dlinesl.size( ) = 16 s1 = 14112955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13729203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12295214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13688258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11368845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15165769, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16188787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11371187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371187, s2 = 11063318, int(edited[s2]) = 0 s1 = 11371187, s2 = 11063318, d1 = 42, d2 = 26 Dl.O(d1) = 261795214,79267351,79267352 Dl.O(d2) = 257023790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371187, s2 = 11063318, dlinesl.size( ) = 42 s1 = 11928345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10218744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372519, s2 = 11509698, int(edited[s2]) = 0 s1 = 11372519, s2 = 11509698, d1 = 0, d2 = 9 Dl.O(d1) = 162513924,173548092 Dl.O(d2) = 264421365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372519, s2 = 11509698, dlinesl.size( ) = 12 s1 = 11372767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11928713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11928713, s2 = 563699, int(edited[s2]) = 0 s1 = 11928713, s2 = 563699, d1 = 47, d2 = 45 Dl.O(d1) = 126375770,112504422,259295487 Dl.O(d2) = 8718442,6537491,4095915,2450330,1416662,805956,805957,1416668,2450342,4095947,6537558,9947083,14458316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11928713, s2 = 563699, dlinesl.size( ) = 2 s1 = 11928713, s2 = 563699, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11928713, Dl.E( ) = 52, 2e-05 seconds used appending s1 = 14114494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114494, s2 = 7338780, int(edited[s2]) = 0 s1 = 14114494, s2 = 7338780, d1 = 67, d2 = 51 Dl.O(d1) = 162715509,173723556 Dl.O(d2) = 265589032 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114494, s2 = 7338780, dlinesl.size( ) = 28 s1 = 9677344, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9677344, s2 = 3084265, int(edited[s2]) = 0 s1 = 9677344, s2 = 3084265, d1 = 41, d2 = 52 Dl.O(d1) = 264419035,263265219,263448182,178245340,167800742,261573304 Dl.O(d2) = 17878783,12662331,8597987,258293771,88419135,95664330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9677344, s2 = 3084265, dlinesl.size( ) = 24 s1 = 12296460, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8357498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8357498, s2 = 64762, int(edited[s2]) = 0 s1 = 8357498, s2 = 64762, d1 = 82, d2 = 5 Dl.O(d1) = 272513791,106817343,272729703,138962446,262131661,261738113,127949024,127949025,141308628,153979392 Dl.O(d2) = 1341718,1341720,1362538,1362534,1341718,1341715,2285194,3814801,6097108,6097109,9307844,254448476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8357498, s2 = 64762, dlinesl.size( ) = 34 s1 = 3248322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10907028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11929797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14251898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14251898, s2 = 14164581, int(edited[s2]) = 0 s1 = 14251898, s2 = 14164581, d1 = 12, d2 = 11 Dl.O(d1) = 205151393,206891279,200916957,193835927,193835906,193835907,263739488,200916933,206891253,206891266,200916941,200916940,206891264,206891278,211826730,206891273,264501347,211826623,206891134,200916797,200916799,206891132,206891131,206891248,206891249,200916959,200916958,263897661,185576621,185576619,176112317,165430371,165430370,176112315,165430378,153649593,261168533,127633805,140982653,153649589,153649597,140982657,127633807,113765434,99751199,99751198,113765432,127633804,260591825,113765443,127633811,260591823,99751209,99751208,113765442,113765435,99751200,85797243,85797242,85797245,72203005,59465140,59465141,72203007,85797246,258748843,59465142,48074241,38161430,38161429,48074239,48074267,38161452,38161453,38161506,38161507,48074318,48074322,48074323,59465232,72203101,85797322,258748861,72203100,85797331,99751309,113765537,99751288 Dl.O(d2) = 72203087,72203086,85797319,259991959,127633902,127633913,127633914,260526276,109771972,260416315,260591835,113765536,127633900,139746350,137590045,123908968,123908969,260526274,112651311,98655305,84725547,84725548,81541351,68054546,68054549,81541357,95571810,109771980,109771973,109771974,259304516,84725463,84725542,84725541,84725552,84725551,81541367,68054556,55657747,55657746,68054555,258044004,28650671,28650672,37167749,47059271,58434276,47059195,47059196,47059197,37167689,28650621,21408081,21408080,15419976,10659500,10659499,15419974,15419979,21408122,21408115,15419975,10659500,7039295,267882212,2658616,4429448,7039297,10659506,15356043,15419957,21408079,21408087,15419983,10659508,10659507,10659487,10659486,15419960,21408084,28650625,37167697,47059203,269777908,47059204,47059205,47059199,47059198,257862151,43354192,34254215,34254216,43354194,53879052,43354186,43354187,53879053,53879047,43354184,43354185,53879049,65945998,53878522,43353546,34253559,34253558,43353545,53878520,65945996,53879055,53879054,270071747,93441603,107869360,107868806,93441098,79310350,79310351,259740327,259087842,93441102,79310352,65945991,53878516,53878517,65945993,79310356,93441107,99029842,85105495,85105494,99029841,99029838,99029837,85105493,71534412,58805396,47418162,47418161,58805395,256689670,51339103,51339102,42895748,42895747,42895744,33850821,26029779,19352539,13841088,9494115,9494116,13841092,19352545,26029791,33850827,42895751,255298618,24717552,18244455,12941806,8804648,5735314,3571226,267776319,267776321,2129326,1228924,1228925,2129357,3572330,5736963,8806962,12944563,12963609,18267072,268091859,11501066,16505106,12941701,12941702,12948765,267814812,18906850,25516694,25845445,25845446,254150532,19332536,19332535,26006078,26006199,32646957,32646956,41533537,32645897,25516695,25516696,33277065,42256696,52642149,64541283,77723105,91650531,100673644,100673643,104726256,90554767,90554766,91650530,86700442,73097019,73097018,78621469,78621468,86700439,73097017,60358853,48963753,48963752,60358852,73097015,60358868,48963759,39042515,39042516,48963762,60358873,73097044,85864655,85864656,99817883,113832967,127702310,113832969,113832968,100673653,100673652,114720015,128616782,141051910,127702305,127702304,141051907,127702306,127702307,141051912,261508146,176175003,185635497,186306433,176932719,176932718,172584312,172584313,176932730,273367493,201477750,201477751,201477755,264251093,201477752,201477753,207369817,207369818,212228916,216199332,219489856,222268975,224654744,226726896,228533771,266011009,231532016,232795938,232795943,232795928,231532006,231532007,232795926,233938297,232795929,274636859,266602441,238288644,237575360,266741935,266861443,240595941,240715051,266792480,266661454,238331743,238331744,238976677,238817792,238156934,237431041,236631523,236631522,237431039,237431042,236631538,235754170,234789855,233731601,232568406,231280537,229844442,228227397,226385951,224271527,221833503,218991782,215625243,211552062,206566669,263932962,193386548,200532860,206566635,211552033,215625215,218991765,218991804,264783626,206566692,200532913,193386561,185058699,185058700,193386558,193386559,185058716,175521705,164771807,152943055,140254229,126907735,113054946,113054945,126907733,140254226,152943051,262677197,185058711,175521699,164771798,164771797,175521698,185058708,263324194,176872168,176872167,175521708,175521707,175521706,166266774,154541290,141896667,128539118,114647576,114647575,128539116,141896663,271520464,114647577,114647578,100608893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14251898, s2 = 14164581, dlinesl.size( ) = 2 s1 = 14251898, s2 = 14164581, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14251898, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 11376937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376937, s2 = 10376511, int(edited[s2]) = 0 s1 = 11376937, s2 = 10376511, d1 = 15, d2 = 2 Dl.O(d1) = 260249904,269785305 Dl.O(d2) = 28755939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376937, s2 = 10376511, dlinesl.size( ) = 8 s1 = 11377063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377063, s2 = 11070062, int(edited[s2]) = 0 s1 = 11377063, s2 = 11070062, d1 = 40, d2 = 4 Dl.O(d1) = 261115877,126714709 Dl.O(d2) = 37333268,28795773,21530463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377063, s2 = 11070062, dlinesl.size( ) = 42 s1 = 16286107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12297004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14251928, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11379113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379171, s2 = 11085008, int(edited[s2]) = 0 s1 = 11379171, s2 = 11085008, d1 = 19, d2 = 21 Dl.O(d1) = 260582322,113589736 Dl.O(d2) = 72034052,256924996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379171, s2 = 11085008, dlinesl.size( ) = 22 s1 = 14251968, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14251968, s2 = 981926, int(edited[s2]) = 0 s1 = 14251968, s2 = 981926, d1 = 23, d2 = 31 Dl.O(d1) = 256497165 Dl.O(d2) = 255646042,41778498,40579248,40579249,50623731,52090563,63742766,62424585,50843751,41372309,32523181,24879735,24879733,32523170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14251968, s2 = 981926, dlinesl.size( ) = 2 s1 = 14251968, s2 = 981926, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14251968, Dl.E( ) = 46, 1.29e-05 seconds used appending s1 = 11333144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11333144, s2 = 12659299, int(edited[s2]) = 0 s1 = 11333144, s2 = 12659299, d1 = 4, d2 = 7 Dl.O(d1) = 215905237,219233914,222043747,224456707 Dl.O(d2) = 224456711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11333144, s2 = 12659299, dlinesl.size( ) = 2 s1 = 11333144, s2 = 12659299, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11333144, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11931221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11380363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11380363, s2 = 11021206, int(edited[s2]) = 0 s1 = 11380363, s2 = 11021206, d1 = 19, d2 = 0 Dl.O(d1) = 273544272,273355024,153872905 Dl.O(d2) = 72382003,59647141,257529878,29777144,29777145,31718335,36419323,42035744,33088251,33088250,39850235,255510296,36419330,36419329,38749624,40336382,31647770,24141501,17777166,17777164,24141497,31647762,37071470,46951299,58318247,60689702,49288248,46951268,37071440,28568850,21341286,15366873,15366872,255827673,37071433,38656253,257553479,52462060,42109532,33155011,33155009,41028458,41028457,35121297,256748029,43299783,46277652,43299483,34201460,26328296,19600932,19600931,26328294,34201457,42109522,42109519,49786824,43299385,256184795,19600847,26328194,34201341,255714725,255714711,19600646,19600645,14044520,9656922,6350035,6350034,9656919,255304553,9656965,9656966,14044574,19600775,26328107,254158364,17604967,23950719,19600970,14044703,14044704,19600662,14044506,14044504,19600656,18182650,12895365,12895366,14044476,9656896,6350021,5712086,3555485,3555469,3555470,5712063,254807344,7829536,4969845,4969844,4483196,2693635,1560498,1560497,2693633,4483193,7120459,7122324,4484423,2694405,254337723 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11380363, s2 = 11021206, dlinesl.size( ) = 30 s1 = 10482879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10482879, s2 = 11381846, int(edited[s2]) = 0 s1 = 10482879, s2 = 11381846, d1 = 24, d2 = 3 Dl.O(d1) = 262835541,130254070,116416849 Dl.O(d2) = 116416848 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8066436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8066436, s2 = 9236661, int(edited[s2]) = 0 s1 = 8066436, s2 = 9236661, d1 = 30, d2 = 38 Dl.O(d1) = 258044054,22629418,16443011,11456698,267962700,4821557,254224912,16443013,22629423,29998562,38569415,48483232,59875492,64241178,52385186,52385184,256855358,54610602,54610601,257333697,35391401,27265504,20330605,14590646,14590645,20330604,27265502,35391397,44816611,53881397,43356962,34257100,34257099,43356959,53881391,65948422,258469808,59423395,48030940,48030943,59423400,72162387,85756922,99710969,112852990,98865080,84938197,71361511,256430036,28786981,28786980,256874999,58624852,71361509,259317037,258675242,27156800,28550033,37049868,46927917,58293620,58293617,58293618,258667875,98495370,112487166,126354803,139730828,152456380,260132814,130010588,143344129,155889084,261348540,142841354 Dl.O(d2) = 31543813,40230135,257668055,74510122,70870879,58156864,46789479,36911870,36911871,46789480,58156866,47542221,37636967,29087191,21789852,21789853,29087192,269069070,29087190,21789852,21789853,29087192,269069070,28941837,21663132,21663131,28941836,32851732,25144812,25144811,32851731,41772988,52087094,63906347,77017925,72074345,59340216,47948745,38035137,29472407,255885832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8066436, s2 = 9236661, dlinesl.size( ) = 12 s1 = 11384659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384659, s2 = 11491544, int(edited[s2]) = 0 s1 = 11384659, s2 = 11491544, d1 = 2, d2 = 13 Dl.O(d1) = 167187099,177684482 Dl.O(d2) = 264558003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384659, s2 = 11491544, dlinesl.size( ) = 14 s1 = 9220840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9220840, s2 = 14254149, int(edited[s2]) = 0 s1 = 9220840, s2 = 14254149, d1 = 46, d2 = 45 Dl.O(d1) = 257057345,39886506,258249001,87772656,101745478,260707861,129688411,143016819,143016831,143016832,155564762,167194603,263218756,167194596,155564755,155564756,167194598,167194606,155564764 Dl.O(d2) = 177690334,186968469,195051722,201968141,274010689,216391643,264548504,201968142,201968143,207786107,274010689,216391643,216502968,216502964,212582538,207786105,207786106,212582541,216502965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9220840, s2 = 14254149, dlinesl.size( ) = 46 s1 = 3264112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3264112, s2 = 3724839, int(edited[s2]) = 0 s1 = 3264112, s2 = 3724839, d1 = 0, d2 = 1 Dl.O(d1) = 103312423,258083064,125526190,259951474,260504429,112317037,126177712 Dl.O(d2) = 129002656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3264112, s2 = 3724839, dlinesl.size( ) = 2 s1 = 3264112, s2 = 3724839, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 3264112, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7152426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11321517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321517, s2 = 15295688, int(edited[s2]) = 0 s1 = 11321517, s2 = 15295688, d1 = 3, d2 = 29 Dl.O(d1) = 121097664 Dl.O(d2) = 255632498,3626080,5812977,254144214,5912915 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321517, s2 = 15295688, dlinesl.size( ) = 8 s1 = 14982158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15656114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15656114, s2 = 8067572, int(edited[s2]) = 0 s1 = 15656114, s2 = 8067572, d1 = 13, d2 = 17 Dl.O(d1) = 207319026,212188529,216166057,219461936,216166054,264248884,222245986,224635530,226710721,225209303,222909443 Dl.O(d2) = 64466,64444,64440,63863,36914,36910,68028,125354,227532,405738,717586,1260218,2175333,1264178,1264177,2181204,3648728,5846847,8957638,13142918,13005009,8853956,8853957,8853966,13005017,8853978,8853976,13005029,8853992,8853979,8853945,5770643,3594657,2143529,2143528,3594655,5770639,8853941,254896467,8840948,12986792,12986781,255625857,32399562,24980263,18459176,18459175,268395466,37789365,29227388,21911308,267970320,24776056,24776057,24809741,24809742,24809794,18321147,18321146,24809763,18321122,18321123,21391467,15406799,10649174,10649175,15406802,21391468,28630064,37143725,33817395,26000291,19328003,19328002,26000290,33817393,39754408,31076771,23593375,17281217,12160258,12160257,17281215,23593373,31076768,26002276,19329492,19329491,26002273,33819473,256444372,26000737,24289123,24289125,31803671,25111978,18562316,18562314,25111975,32815099,33817683,42859145,33819359,33819339,26002123,19329367,13822243,9479564,6215864,6215865,9479567,13822249,19329379,26002132,33819347,42860575,53322728,65321353,78618895,73445449,60697598,51806490,41527942,32640895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15656114, s2 = 8067572, dlinesl.size( ) = 2 s1 = 15656114, s2 = 8067572, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15656114, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 2608421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2608421, s2 = 6795843, int(edited[s2]) = 0 s1 = 2608421, s2 = 6795843, d1 = 70, d2 = 66 Dl.O(d1) = 73502378,259465203,115197146,272589911 Dl.O(d2) = 27972751,36431630,36431627,27972749,268195975,255357211,27972753,256805539,57629452,46284722,36431627,256805537,57629450,57629456,257994271,57629453,258618293,97705617,260465355,97705617,111627362,125430739,262120743,174198580,263458317,183868861,174198579,174198580,175435335,164677386,272536529,98953672,85028585,71456470,58726149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2608421, s2 = 6795843, dlinesl.size( ) = 2 s1 = 2608421, s2 = 6795843, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 2608421, Dl.E( ) = 72, 4.1e-05 seconds used appending s1 = 11389777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389777, s2 = 6242271, int(edited[s2]) = 0 s1 = 11389777, s2 = 6242271, d1 = 47, d2 = 36 Dl.O(d1) = 262930983,263719021,203968626,209413214,213880999,217549124,220611191 Dl.O(d2) = 244651191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389777, s2 = 6242271, dlinesl.size( ) = 14 s1 = 7007863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10517550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11935833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6985102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14120192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11373365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373365, s2 = 14299175, int(edited[s2]) = 0 s1 = 11373365, s2 = 14299175, d1 = 0, d2 = 0 Dl.O(d1) = 162752355,173753953,183524497,192068763,192068767,199420994,205641899,199432118,192081292,192081290,183539151,183539152,183539157,183539156,173771185,162772589,150678941,137683059,124002075,109863619 Dl.O(d2) = 162752355,173753953,183524497,192068763,192068767,199420994,205641899,199432118,192081292,192081290,183539151,183539152,183539157,183539156,173771185,162772589,150678941,137683059,124002075,109863619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373365, s2 = 14299175, dlinesl.size( ) = 2 s1 = 11373365, s2 = 14299175, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11373365, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8211820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8211820, s2 = 10180907, int(edited[s2]) = 0 s1 = 8211820, s2 = 10180907, d1 = 46, d2 = 51 Dl.O(d1) = 3669676,5877025,3669427,3669425,5877101,254907957,18583957,25138495,32843913,41763809,52076948,63895268,77005959,257842216,119255876,132982926,119147892,104951841,259000213,63783335,51968021,268733615,25057891,18519711,18519710,25057876,32749516,41660267,51968004,63783316,76893269,90772161,104951834,100429397,258799396,257567436,38825012,30241762,22848147,16624174,16624173,22848145,30241758,38825005,48745116,258176333,86472199,99513106,85566050,85566049,99513105,113524635,259357737,258108921,59241115,71978686,259357739,85566031,71978715,59241136,59241135,71978713,85566029,262697947,185421708,263806075,183427746,173637103,162611124,162611123,173637116,183427745,173637103,162611104 Dl.O(d2) = 105525256,91307166,77388227,77388226,91307164,258828276,77388224,91307163,105525252,91307197,91307198,259649335,88102304,74490189,61707537,61707536,258897629,260136385,114970955,119759026,261714213,142225411,128873337,119758998,270874022,77388238,64237459,64237460,77388240,91307161,91307160,259649333,105525253,119759000,133629059,146882427,159253742,170589439,180719104,177990892,167518558,155902352,143358771,143358772,143358770,130026016,130026005,116116574,102058863,88073267,74461055,61678200,50194842,40170972,31485835,23988589,17643237,12468774,12468776,17643241,23988596,31485844,40170986,49947332,49422784,39492692,39492693,37327286,28790816,21526555,21526556,17443233,12295861,12295862,17443235,23771944,31256557,39931515,31256547,23771938,23771939,23836236,31327451,38031717,29469063,22133579,16018012,11121715,11121714,16018008,16086194,255403346,38128661,48041829,59433885,72172539,61425772,49948163,49294794,269372643,73444018,87061452,101057157,88073263,88073264,102058860,116116568,130025997,143358751,155902331,262823333,187239228,187239221,177990865,167518530,162071903,149857728,136714896,122882566,108617856,94330239,80273599,66843619,66843618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8211820, s2 = 10180907, dlinesl.size( ) = 36 s1 = 11551953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16341667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11395129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395129, s2 = 7346427, int(edited[s2]) = 0 s1 = 11395129, s2 = 7346427, d1 = 38, d2 = 31 Dl.O(d1) = 263824211,205865085,210966449,215135493 Dl.O(d2) = 265677456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395129, s2 = 7346427, dlinesl.size( ) = 2 s1 = 11395129, s2 = 7346427, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11395129, Dl.E( ) = 64, 2e-05 seconds used appending s1 = 11936705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7324734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7324734, s2 = 5295267, int(edited[s2]) = 0 s1 = 7324734, s2 = 5295267, d1 = 47, d2 = 61 Dl.O(d1) = 265430878,264450516,129880340,129880339 Dl.O(d2) = 219610680,219610681,219610684,219610683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7324734, s2 = 5295267, dlinesl.size( ) = 26 s1 = 11396363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396363, s2 = 11268846, int(edited[s2]) = 0 s1 = 11396363, s2 = 11268846, d1 = 7, d2 = 9 Dl.O(d1) = 272757762,84384570,258028055,28362373,21146605,21146607,28362376,36860697,42762782,36860449,255685136,21146477,255417790,29580465,29580464,255417788,57959408,46582982,46582926,36696469,28205904,28205905,21146527,15193556,10479722,10479721,15193552,255811343,36860528,46742078,46742207,257418288,36696491,36696492,256185926,20328681,20328682,254676690,27102409,21146583,21146585,28362340,23611352,23611353,22787883,16572067,11553101,11553103,16572072,22787893,30176586,268163296,28361955,21146329,21146328,27263124,20328693,20328692,27263120,30176548,256436803,32623495,24956343,18439637,13098528,9778764,6429458,4033620,4033617,6429446,4668027,2812168 Dl.O(d2) = 1642265,2830592,4698077,7434727,7434725,11204754,16129704,21974852,255877135,20975367,16131801,11206254,7435641,7435643,9777675,11204545,11204546,11590014,11590015,16616127,22837748,23840811,26360206,23455804,18925374,18925375,15880716,15880715,21975056,23088906,18930423,18930422,17719421,17719422,24076151,22415277,16250392,16130399,11205241,7434993,7434994,4698176,4698173,7435009,11008979,9230775,6045514,3782627,2265915,1314444,1314440,2265887,3782516,2266292,2266295,3783313,6046764,8325079,5372710,5372709,3754984,2248778,2248777,2249646,2251462,1306504,1304527,744382,744381,1304524,2248784,1943603,1110390,623177,346345,189930,103724,57036,32098,18460,18461,32102,57043,57002,32084,32085,57004,103642,189790,346086,622717,1109610,1303954,2247977,3753832,2411239,1395334,1395335,794714,794713,1396709,1942584,1396715,794717,450342,450341,794730,1396733,2413021,4026748,267857769,2189785,1270831,1270830,2189782,3660043,3755435,3755434,4221637,6737602,5865878,3662183,2411667,1415255,1398355,1398354,2415793,4023725,2410977,254313007,5868575,3664305,3664306,3667140,3667139,4031493,5867594,3663392,2192128,2192129,1410997,1410996,2230653,1293654,1271999,1272001,794084,449807,253214,139891,76416,41521,41520,76407,139875,234488,129412,70156,70155,129408,234483,234496,252371,233229,128538,128539,233237,413153,414347,414346,252967,252968,449511,729484,1271574,726584,449949,414591,234190,129204,129203,234187,414587,421607,448599,252395,139318,76004,76003,139313,252387,424946,743360,422189,422188,743357,741567,741566,794256,254204839,254145563,728951,822656,746067,423935,239271,239270,143474,267735901,43049,78796,132607,132605,239855,424912,254445239,9197473,13449581,18874237,25475671,33223709,42183763,49786386,48808431,48808430,47697347,37776498,37776497,47697342,59095474,52081013,41767415,41767416,37104609,37104610,31893831,24365665,24365666,257695535,74973501,88615448,99369541,85428245,71842408,59103559,47705418,37784556,37784557,256570549,18051330,18051329,24471573,32034068,40791086,40791085,38944196,256212630,60256883,62995486,51316451,41132876,32319100,24704639,255225637,12933468,18233891,24704641,32319104,41132883,51316460,62995496,75978169,75978163,62995490,62995489,51316453,50605468,50605469,62104131,74907645,88546158,102553048,116652594,271670010,91803997,91803996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396363, s2 = 11268846, dlinesl.size( ) = 8 s1 = 14279446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11938029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11938029, s2 = 11507252, int(edited[s2]) = 0 s1 = 11938029, s2 = 11507252, d1 = 1, d2 = 4 Dl.O(d1) = 185429442 Dl.O(d2) = 207176096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11938029, s2 = 11507252, dlinesl.size( ) = 24 s1 = 14252510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14252510, s2 = 7663093, int(edited[s2]) = 0 s1 = 14252510, s2 = 7663093, d1 = 6, d2 = 18 Dl.O(d1) = 142517245 Dl.O(d2) = 271549162,40789310,257705201,53704578,43192953,34107257,26243804,19526680,13979689,268160983,34107251,43192955,269815965,29914594,256958141,258771205,100050492,260614701,126295876,259909636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14252510, s2 = 7663093, dlinesl.size( ) = 20 s1 = 16071373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16291985, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10633695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16120687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16120687, s2 = 14019376, int(edited[s2]) = 0 s1 = 16120687, s2 = 14019376, d1 = 58, d2 = 64 Dl.O(d1) = 242276199,241898032 Dl.O(d2) = 9968913,9968908,11744417,11744376,7841140,4977424,3006815,1746820,993425,993426,1746823,254371467,7841160,11744413,16796769,23041739,30449256,26440856,19701634,14126338,9718624,254610686,19701473,20012047,26893253,30448960,24088117,18497445,254250782,32715307,26893256,20012049,14332288,9845568,6466368,4051518,4051519,6466372,9845582,9191917,9191922,13442695,15889052,12624026,8570149,5565911,3449635,3449632,4094995,2449857,2449858,4094997,6535735,9944120,14453875,20149071,27041955,31675986,268645315,11475140,11475141,16469493,18865880,18865881,20151649,27043860,20151322,14455672,14455670,20151321,27043859,35129780,34318948,26440758,19701513,19701512,22664304,17746338,12556717,8513301,8513300,12556712,8529695,8529696,12576341,17771228,24134951,31641751,39957850,31282940,255902568,30039822,22664309,22664308,27041762,35128667,31691645,24183115,17814756,12612732,8561140,8561141,12612734,17814759,254869856,31635994,24128928,17765653,17765652,17798827,17798826,17712137,12529341,8490669,5491458,5491459,8490674,8987011,8987013,8550234,5548818,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318437,17359514,17359510,14126900,14126898,9845598,9845602,11475230,16469635,22316783,20310360,20310358,23694079,23694076,26893510,20012313,15553563,14127771,9719515,9719513,14127762,16170788,11238569,7459279,7459281,11238579,16170813,17707443,16171615,16170770,14127175,14127174,17464458,16170521,15630231,15630229,12299703,8307067,8307068,9945312,14129131,14127370,9719276,9719277,14127374,255086430,34319990,30718724,23301441,17041205,11954700,8002805,8002804,11954699,14575433,10029450,10029449,254134784,10900708,8002714,8002711,8002681,5094755,3092439,3092437,5094751,8002666,7961897,7961898,9740807,14169023,14169022,15734959,15734958,15736239,10898576,10898575,15736236,17041222,12310745,8315157,5365356,5365358,8315160,12310750,10897355,10897354,15734281,15131558,255378359,15740027,15740026,15131540,10436366,10436367,15131542,21065675,28268296,255379568,23700142,23700141,23700143,19435922,19435923,19865817,14232885,9784062,6432493,6432494,9784059,255317745,26684293,34677986,43952680,54696461,260381781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16120687, s2 = 14019376, dlinesl.size( ) = 16 s1 = 6979541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14987599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14693152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15245461, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15245461, s2 = 9242422, int(edited[s2]) = 0 s1 = 15245461, s2 = 9242422, d1 = 24, d2 = 16 Dl.O(d1) = 95353570,81297554,67831785,55490567,44640598,44640599,55490570 Dl.O(d2) = 227190788,225189176,222885882,222885883,225189178,222885891,220211221,220211220,217053085,217053074,217053075,273838716,196208562,188325674,179274867,168988599,157525289,145090697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15245461, s2 = 9242422, dlinesl.size( ) = 2 s1 = 15245461, s2 = 9242422, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15245461, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 7236463, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14252764, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10677117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414027, s2 = 10778564, int(edited[s2]) = 0 s1 = 11414027, s2 = 10778564, d1 = 9, d2 = 6 Dl.O(d1) = 263443073,199377337,205602988 Dl.O(d2) = 210809537,210809512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414027, s2 = 10778564, dlinesl.size( ) = 12 s1 = 8721084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8721084, s2 = 9035453, int(edited[s2]) = 0 s1 = 8721084, s2 = 9035453, d1 = 2, d2 = 0 Dl.O(d1) = 263639575,178072891,167610126,156000855,143462071,143462070,156000854 Dl.O(d2) = 261009740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8721084, s2 = 9035453, dlinesl.size( ) = 2 s1 = 8721084, s2 = 9035453, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8721084, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11414753, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11416207, s2 = 11364830, int(edited[s2]) = 0 s1 = 11416207, s2 = 11364830, d1 = 10, d2 = 31 Dl.O(d1) = 263847669,206269133 Dl.O(d2) = 219795109,265167516,211288170,211288169,212635559,207847130,263971917,195130635,264282559,264812805,219795110,222534595,265360510,218778388,215389346,212635559,207847130,263971917,263999534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11416207, s2 = 11364830, dlinesl.size( ) = 26 s1 = 12302906, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12302906, s2 = 5975220, int(edited[s2]) = 0 s1 = 12302906, s2 = 5975220, d1 = 65, d2 = 36 Dl.O(d1) = 146252198,140064234,261666523,164588634,175350698 Dl.O(d2) = 238839743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12302906, s2 = 5975220, dlinesl.size( ) = 20 s1 = 11417749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11112661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112661, s2 = 14190993, int(edited[s2]) = 0 s1 = 11112661, s2 = 14190993, d1 = 0, d2 = 0 Dl.O(d1) = 258082263,259331991,113050921,126903494,140250303,151715921,261061495,271288499,258635133,57815870,46459791,36593592,28120498,20943155,15034691,10362229,10362230,255369145,268601787,46459796,57815877,70517219,259261763,111857253,125673103,139011867,140845924,259425388,258177916,59327937,47936329 Dl.O(d2) = 258082263,259331991,113050921,126903494,140250303,151715921,261061495,271288499,258635133,57815870,46459791,36593592,28120498,20943155,15034691,10362229,10362230,255369145,268601787,46459796,57815877,70517219,259261763,111857253,125673103,139011867,140845924,259425388,258177916,59327937,47936329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112661, s2 = 14190993, dlinesl.size( ) = 2 s1 = 11112661, s2 = 14190993, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11112661, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14252930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12303358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118557, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14123374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10832921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10832921, s2 = 11423388, int(edited[s2]) = 0 s1 = 10832921, s2 = 11423388, d1 = 8, d2 = 6 Dl.O(d1) = 265636371,265088629,264867483,213793506,217479890,217479891,213793507,213793504,209300976,209300977 Dl.O(d2) = 262921493,159200843,262461129,146826407,146826406,146826410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10832921, s2 = 11423388, dlinesl.size( ) = 2 s1 = 10832921, s2 = 11423388, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10832921, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11946387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14253122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16288163, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8732679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8732679, s2 = 8712498, int(edited[s2]) = 0 s1 = 8732679, s2 = 8712498, d1 = 27, d2 = 17 Dl.O(d1) = 6124775,9350741,268150479,25764650,33554275,269523490,262953053,263223823,194914358,201845482,207680235,207680241,273763708 Dl.O(d2) = 273763708,263289694,167022128,155376660,261362700,259580962,258328940,256642915,25441817,18845238,15070169,15070170,19336160,19336159,20987058,20987057,26693928,26700346,34694955,34682440,26688208,19869129,19869127,26688204,19869138,14235608,9786119,6433824,254966531,18234099,12933634,8798697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8732679, s2 = 8712498, dlinesl.size( ) = 2 s1 = 8732679, s2 = 8712498, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8732679, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 11379535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379535, s2 = 11118798, int(edited[s2]) = 0 s1 = 11379535, s2 = 11118798, d1 = 40, d2 = 38 Dl.O(d1) = 165365384,176054944 Dl.O(d2) = 22959356,22959357,256452915,22959359,16723547,11681805,7789820,4939036,2980419,2980418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379535, s2 = 11118798, dlinesl.size( ) = 8 s1 = 8593658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8593658, s2 = 10489545, int(edited[s2]) = 0 s1 = 8593658, s2 = 10489545, d1 = 46, d2 = 70 Dl.O(d1) = 258850459 Dl.O(d2) = 266942038,238783530,238783529,238783530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8593658, s2 = 10489545, dlinesl.size( ) = 38 s1 = 11427177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427177, s2 = 14078246, int(edited[s2]) = 0 s1 = 11427177, s2 = 14078246, d1 = 20, d2 = 18 Dl.O(d1) = 262449111,262449113,170007533 Dl.O(d2) = 158648855,146280329,260843633,105029272,259003817,63858898,257173299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427177, s2 = 14078246, dlinesl.size( ) = 26 s1 = 11427437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427437, s2 = 11507978, int(edited[s2]) = 0 s1 = 11427437, s2 = 11507978, d1 = 17, d2 = 22 Dl.O(d1) = 262879482,209182975 Dl.O(d2) = 274028592 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427437, s2 = 11507978, dlinesl.size( ) = 20 s1 = 14029449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14029449, s2 = 11429114, int(edited[s2]) = 0 s1 = 14029449, s2 = 11429114, d1 = 7, d2 = 0 Dl.O(d1) = 13582566,19028830,25646230,269088977 Dl.O(d2) = 77904382,261988439,170956927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14029449, s2 = 11429114, dlinesl.size( ) = 10 s1 = 4548512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14124488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16295476, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16295476, s2 = 14077434, int(edited[s2]) = 0 s1 = 16295476, s2 = 14077434, d1 = 20, d2 = 24 Dl.O(d1) = 262532379,148929624,135683315,135683314,148929622,161241475,172445948,161241476,161241475,172445949 Dl.O(d2) = 161241478,172445952,262987993,262036977,135683313,260339081,260155612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16295476, s2 = 14077434, dlinesl.size( ) = 22 s1 = 16399522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16399522, s2 = 10774150, int(edited[s2]) = 0 s1 = 16399522, s2 = 10774150, d1 = 43, d2 = 7 Dl.O(d1) = 153446172,153446173,261703903,261703909,127410309 Dl.O(d2) = 153446181,153446180,165245765,175948245,185431979,193708109,200804279,206792784,211740597,215783573,219127146,221950080,224374147,226479585,228313535,229922881,231350795,232630202,233786201,234838406,235796784,236669485,237465181,266465160,266373655,233155957,231929696,265920695,227312649,225332752,223053854,265080641,213566831,209007776,203454436,196822733,189071441,189071440,180120375,169944357,158578435,146203799,271974031,104938500,90758567,76879913,63770676,51955890,41649169,41648833,32739288,32739289,41648836,41649038,51955812,50572632,50572631,50572545,40536047,40536048,268653660,49747008,46723363,256453492,21131372,21131370,28343746,36840549,46723356,49747023,49747022,46622093,42373983,33385061,25619129,19004887,19004886,21703440,28986846,37531604,47439769,58826443,59382396,47992644,38079986,29515515,255453303,16049439,22173940,29515513,36897445,36897447,46775410,48342879,48342878,46775405,36897443,36897442,42631929,36909004,28411633,28411634,36909013 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15166491, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11433133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433133, s2 = 11567532, int(edited[s2]) = 0 s1 = 11433133, s2 = 11567532, d1 = 25, d2 = 27 Dl.O(d1) = 264449369,215221927 Dl.O(d2) = 266091513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433133, s2 = 11567532, dlinesl.size( ) = 36 s1 = 11312289, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13784743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15166551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436359, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11951083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11951083, s2 = 13989449, int(edited[s2]) = 0 s1 = 11951083, s2 = 13989449, d1 = 0, d2 = 12 Dl.O(d1) = 201115527,264511507 Dl.O(d2) = 266000523,230012573,228411824,265473020,222089529,219286892,215968562,215968563,219286893,222089532,224497176,226589149,228411826,230012578,266121889,232703733,231432246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11951083, s2 = 13989449, dlinesl.size( ) = 2 s1 = 11951083, s2 = 13989449, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11951083, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 11238841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238841, s2 = 10795718, int(edited[s2]) = 0 s1 = 11238841, s2 = 10795718, d1 = 32, d2 = 36 Dl.O(d1) = 259328620,20931678,15023602,15009165,257395569,259256955,261609943 Dl.O(d2) = 33775275,255696785,13798694,255289741,11796453,7877869,5001870,3022851,1757395,1000287,1000289,1757431,3022934,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,17840817,21482885,21482882,16397820,16397821,11577228,11577230,16599822,16599859,16599860,255307339,9689401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238841, s2 = 10795718, dlinesl.size( ) = 24 s1 = 11439413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439413, s2 = 11229660, int(edited[s2]) = 0 s1 = 11439413, s2 = 11229660, d1 = 14, d2 = 19 Dl.O(d1) = 260269630,100889475,86909319,256639006 Dl.O(d2) = 142198572,142195715,128838960,114939480,114939481,257193922,256123560,73297496,256639004,269840937,73297499,60554523,60554524,73297501,73299310,268143342,39230593,39230592,49157071,60556411,60554522,49155271,39229075,30631186,30631185,39229074,49155270,260666519,142195712,260865570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439413, s2 = 11229660, dlinesl.size( ) = 8 s1 = 11951803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14126396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11441011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11441011, s2 = 14949186, int(edited[s2]) = 0 s1 = 11441011, s2 = 14949186, d1 = 24, d2 = 2 Dl.O(d1) = 187097550,177825123 Dl.O(d2) = 129815751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11441011, s2 = 14949186, dlinesl.size( ) = 18 s1 = 15257761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15136144, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442111, s2 = 13483115, int(edited[s2]) = 0 s1 = 11442111, s2 = 13483115, d1 = 17, d2 = 14 Dl.O(d1) = 187457568,178240620,167795903,167795901,158628579,158628580,169991162,273105636,262189106,143671232,130346906,116510438,116510439,130346909,143671236,156200598,167795905,167795897,262839743,187457565,195478250,264189516,195478248,264302357,196853277,189106498,180161426,180161428,189106500,196853279,202337926,195478253,263509368,273335304,178240616,167795898,167795899,156200596,143671234,130346907,116510438,102414757,102414758,116510441,130346912,143671237,272913077,187457572,189106499,180161426,180161428,189106501,196853281,202337924,264579933,265257639 Dl.O(d2) = 217321003,264615445,264040229,189106507,272879258,259629727,76936386,257761127,41701353,32784852,25087009,268138205,8981157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442111, s2 = 13483115, dlinesl.size( ) = 2 s1 = 11442111, s2 = 13483115, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11442111, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11408686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11444069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11445099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445099, s2 = 11093480, int(edited[s2]) = 0 s1 = 11445099, s2 = 11093480, d1 = 13, d2 = 55 Dl.O(d1) = 197518795,204037549 Dl.O(d2) = 257692806,22855567,255117791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445099, s2 = 11093480, dlinesl.size( ) = 50 s1 = 14253584, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14253584, s2 = 11522344, int(edited[s2]) = 0 s1 = 14253584, s2 = 11522344, d1 = 88, d2 = 71 Dl.O(d1) = 205639113,210786040,214990425,218448304,264414096,225996771,227497719,225543776,223297815 Dl.O(d2) = 200331972,263993111,187453237,178236324,167791357,166552035,154847460,264258309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14253584, s2 = 11522344, dlinesl.size( ) = 14 s1 = 11449429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449429, s2 = 16399619, int(edited[s2]) = 0 s1 = 11449429, s2 = 16399619, d1 = 72, d2 = 4 Dl.O(d1) = 263836726,261622230,84244976,259269631,261069727,151986153,163854977,174672570,263486536,164202645,164202646,175017207 Dl.O(d2) = 50108098,255818488,31407480,36821035,36821036,46703573,58075637,256837120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449429, s2 = 16399619, dlinesl.size( ) = 70 s1 = 5338928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12307650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14077067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11956105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12308376, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11454779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15210431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11481551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481551, s2 = 11455558, int(edited[s2]) = 0 s1 = 11481551, s2 = 11455558, d1 = 8, d2 = 0 Dl.O(d1) = 207120840 Dl.O(d2) = 176499574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481551, s2 = 11455558, dlinesl.size( ) = 14 s1 = 12308636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10278838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10278838, s2 = 16256294, int(edited[s2]) = 0 s1 = 10278838, s2 = 16256294, d1 = 134, d2 = 147 Dl.O(d1) = 264808499,219745840,222491715,265596454,219745846,265426603,219745849,219745851,222491728,222491727,222491719,265426601,224849443,226895770,226895771,228679007,230248647,230248689,228679055,228679056,266021987,231643765,231643764,266352617,234032885,266141642,228678993,226895763,224849423,222491713,222491714,265426604,212572815,207775614,201956595 Dl.O(d2) = 266655375,238768037,238768036,238102362,237370909,236565714,235681933,234710005,233644135,266098873,229731222,228103016,226247888,224117224,221660906,218800625,215414017,215414015,215414016,211315881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10278838, s2 = 16256294, dlinesl.size( ) = 68 s1 = 11957685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11957685, s2 = 10385399, int(edited[s2]) = 0 s1 = 11957685, s2 = 10385399, d1 = 5, d2 = 6 Dl.O(d1) = 264560285 Dl.O(d2) = 265037685,222521342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11957685, s2 = 10385399, dlinesl.size( ) = 10 s1 = 11958141, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15698158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11459489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11459489, s2 = 11016442, int(edited[s2]) = 0 s1 = 11459489, s2 = 11016442, d1 = 63, d2 = 3 Dl.O(d1) = 262140084,217412027 Dl.O(d2) = 83832003,97689826,260464131,259284830,70306842,257423616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11459489, s2 = 11016442, dlinesl.size( ) = 70 s1 = 10480341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11460615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14129699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11461573, s2 = 11110292, int(edited[s2]) = 0 s1 = 11461573, s2 = 11110292, d1 = 16, d2 = 1 Dl.O(d1) = 264177304,139780264 Dl.O(d2) = 58336800 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11461573, s2 = 11110292, dlinesl.size( ) = 12 s1 = 13784742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14253959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11960093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2792017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2792017, s2 = 11463944, int(edited[s2]) = 0 s1 = 2792017, s2 = 11463944, d1 = 1, d2 = 3 Dl.O(d1) = 84030919,97900840,111834160 Dl.O(d2) = 125649327,138987478,151691186,163570412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2792017, s2 = 11463944, dlinesl.size( ) = 10 s1 = 11464511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464511, s2 = 11330428, int(edited[s2]) = 0 s1 = 11464511, s2 = 11330428, d1 = 7, d2 = 20 Dl.O(d1) = 205996965,211078158 Dl.O(d2) = 272840756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464511, s2 = 11330428, dlinesl.size( ) = 24 s1 = 13788044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13788044, s2 = 14113954, int(edited[s2]) = 0 s1 = 13788044, s2 = 14113954, d1 = 61, d2 = 49 Dl.O(d1) = 188609680,188609681,263310312,262429532,132268803,118440266,104270347,104270349,118440268,132268804,261928873,262892489,262640753,164179359,174995571,184597048,192981610,200174226,203129668,196431935,188609635,273212371,157911236,157911238,169335903,179584341,188609643,196431942,203129672,264458655,215372662,273748430,273892210,204975678,204975679,210233800,214531386,216157445,216157446,215372754,211269415,264953675,264572104,184597228,174995757,164179574,262043060,126190842,139565983,139565942,126190779,112330333,98347217,84437564,70880195,70880196,84437567,259903693,126190787,137312268,123580924,109388895,109388897,123580926,263025991,191892183,193209062,184866207,184866208,193209065,263636914,192981544,184596937,174995399,164179177,152295622,139565735,139565733,152295618,139566232,139566231,152296221,152296215,152296183,139566199,139566198,152296180,164179793,164179854,174996012,179584300,169335863,157911190,157911189,169335860,179584298,184865693,175311873,262355628,193208683,200334422,273034122,261509264,164471014,175250181,180649938,180649937,189528994,192981534,192981533,193208736,184865755,262355876,273166604,177171907,177171908,263597395,201641879,205988577,273725210,184118003,184118002,262940712,154361945,154361944,141713134,141713132,140011263,126656345,112797671,100465865,100465864,98804968,98804967,112797551,124597833,124597831,110593287,110593285,110593311,261582053,162968518,173905263,174468914,174468913,175312179,184865943,192981603,194665076,186519017,177172193,177172194,263704437,262913847,170056738,178298617,187504496,195517438,198629937,191139321,182436095,172484080,172484079,182436092,263651397,272915195,261328843,130431092,143757650,262355954,175312564,184866238,263252962,203369241,264293718,212884298,212884297,216157503,264517898,211269310,206247503,206247501,211269312,206247684,200174627,192982235,192982236,200174629,202370770,264582471,264610754,273618136,200355122,193191399,186188151,176792017,262738636,154899361,261396622,272241465,154899362,142265538,128914058,128914057,142265536,154899420,152617238,139909346,139909347,139971667,126617445,112761922,98772067,84845249,71271350,71271352,84845255,98772071,112761928,126617454,139971678,152670458,261401876,166599186,154899390,142265518,128914047,115012138,100957888,86973631,269961426,49216568,39289945,256093570,23277866,30692701,39289954,257600461 Dl.O(d2) = 206419534,273390000,261849584,273390002,142265750,262302831,164180078,272679222,126191131,126191132,139566417,139566402,261636353,154899362,142265538,128914058,128914057,142265536,154899420,152617238,139909346,139909347,139971667,126617445,112761922,98772067,84845249,71271350,71271352,84845255,98772071,112761928,126617454,139971678,152670458,261401876,166599186,154899390,142265518,128914047,115012138,100957888,86973631,269961426,49216568,39289945,256093570,23277866,30692701,39289954,257600461,256606690,255973913,39289943,49216562,60617263,258831155,258277280,71301864,257668624,98805037,259523790,126656254,126656255,140011121,142265968,142265969,154899918,261849532,150973233,142265478,128914013,115012118,115012119,272679220,166599146,154899355,154899356,262355846,164546879,152707567,152707566,164546878,175312245,177172209,177172205,263136890,186188435,192154745,183636230,173905297,262355790,262043014,164547076,152707751,263502969,261749436,170486351,162486563,150353479,137312532,137312533,150353484,161283779,148978445,135740052,121801081,121801083,135740059,148978455,140011181,140011182,132268773,118440245,104270328,90131341,260226391,132268772,145507947,157911243,169335907,179584354,188609652,195400082,264027502,188609794,262892486,169336101,263310315,196432039,196431938,264606313,217133875,265047860,213356786,213356787,274031928,264027514,263310312,262429532,132268803,118440266,104270347,104270349,118440268,132268804,261928873,262892489,262640753,164179359,174995571,184597048,192981610,200174226,203129668,196431935,188609635,273212371,157911236,157911238,169335903,263310279,196431944,191139286,191139285,192981606,200174222,262826600,273166566,273892210,204975678,204975679,210233800,214531386,216157445,216157446,215372754,211269415,206247666,263845419,263084291,174996433,174995759,174995758,175311939,175311940,175312321,170486349,262267836,133512419,119640278,119640279,133512421,261749436,170486351,162486081,261201800,262262504,175312038,264184199,194205459,201243154,207167319,212052607,263918538,263173892,262262592,173523569,260624786,150353162,162486198,164547177,272533959,112797701,258277284,71301872,269403944,98805063,112330503,98347325,84437629,84437630,98347328,112330509,126191050,133512459,146768960,159143540,152050200,139344599,125993498,125993499,139344601,152050204,273322281,166171355,262355970,192753721,184597288,184597287,263531490,166599441,154899685,261245776,132632576,145852794,152296030,164179634,166599438,154899681,142265749,128914194,260231944,86973678,86973677,260071761,261245771,261401872,152670446,139971674,258992498,98772068,84845249,71271350,71271352,84845255,98772071,112761928,126617454,139971678,152670458,261401876,166599186,154899390,142265518,128914047,115012138,100957888,100957886,115012134,128914040,261391456,135740080,121801100,107418963,93010712,78900913,65566013,63290876,63290875,76313858,259610027,260822923,145507985,145507975,132268792,132268791,145507968,145507967,157911263,169335927,179584376,169335938,157911278,157911279,169335941,179584393,180220003,175312458,175312456,172483995,161283723,148978386,135740015,259610030,260938029,148978379,161283713,262262508,143757768,143757767,150353038,259406632,109388860,109388862,123580866,137312187,137312242,137312243,150353125,162486161,166599243,260624760,261201816,161283811,148978472,148978473,261928882,148978392,271503312,107418935,107418934,260226398,90901403,258380371,258380369,90901401,260847203,146331165,261509280,180220015,184866006,183323912,261201796,261201798,183323914,191892125,199262960,205499691,201399918,194380471,194380472,188609745,179584478,179584477,180912157,189800282,189157620,184865664,184865663,193208665,196897431,189157615,180220004,272977161,146331164,146331163,158699416,170056652,180220010,176792964,166172577,154436557,154436558,166172578,176792967,186188962,263252820,261849482,152707360,152707359,163632434,151757219,262139087,263070061,263190125,154435681,141788246,141788244,141788562,141788559,154436030,166172133,166599312,177171892,186518749,191137219,182433670,172481415,261687828,135736989,126656103,126656104,140010937,139055383,139055384,125716503,125716501,114550406,100519636,100519635,114550404,128434405,141787919,154435276,261703034,186151992,186151991,191892243,192981646,184865696,272609592,152707158,140010778,126655976,258899806,84876234,71301794,71301795,258277254,112797427,112797461,126656028,137831419,259205978,95847593,81784447,257955488,110065006,118440333,259610035,90131377,104270383,118440328,261928889,169336035,173523434,167866858,156282564,143757649,130431091,116589314,102487743,88481164,74845510,62047280,50554666,50554667,62047281,259546493,260758411,143757653,143757581,130431039,116589281,259546487,88481151,260160869,88481144,74845498,62047275,62047276,74845500,88481148,102487722,260758409,261328859,139566327,126191070,126191072,139566331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13788044, s2 = 14113954, dlinesl.size( ) = 30 s1 = 14130404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130404, s2 = 14190770, int(edited[s2]) = 0 s1 = 14130404, s2 = 14190770, d1 = 18, d2 = 45 Dl.O(d1) = 215827145,264170476,193783738,193783739,200869958,206850094,211790851,215827133,219165471,221983963,221983964,219165477 Dl.O(d2) = 264459916,206850107,206850106,211790835,211790836,215827136,211790858,206850102,200869967,193783744,193783746,273976426,206850081,206850100,206850101,211790857,215827147,264954872,273848312,200869945,263086054,176049718,176049719,185519626,193783731,200869948,206850082,200869950,193783732,193783731,200869946,200869947,206850081,206850103,264986559,264954872,273848312,206850080,211790836,215827136,215827125,211790825,206850072,263486514,193783727,185519623,176049717,165359525,153570336,140896278,140896279,127541200,113669988,99657036,85709286,72124504,59393599,48005199,38093692,29529891,22187411,255388710,25804291,25804292,33601538,42626071,53073592,65056048,78334990,92367817,106671728,260507906,134722491,147848020,160102037,171328423,181356943,190165836,185020785,262637878,152895517,261081242,113004491,99015747,85090237,258029454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130404, s2 = 14190770, dlinesl.size( ) = 16 s1 = 4442165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11555031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11555031, s2 = 11466392, int(edited[s2]) = 0 s1 = 11555031, s2 = 11466392, d1 = 6, d2 = 8 Dl.O(d1) = 274341738 Dl.O(d2) = 264737760,221817019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555031, s2 = 11466392, dlinesl.size( ) = 8 s1 = 14130704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13826859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130708, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11467071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467071, s2 = 11456886, int(edited[s2]) = 0 s1 = 11467071, s2 = 11456886, d1 = 10, d2 = 3 Dl.O(d1) = 265555747,216916805 Dl.O(d2) = 208364288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467071, s2 = 11456886, dlinesl.size( ) = 12 s1 = 14146635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146635, s2 = 11467580, int(edited[s2]) = 0 s1 = 14146635, s2 = 11467580, d1 = 4, d2 = 8 Dl.O(d1) = 274673739,265994124 Dl.O(d2) = 274665702,237015769,236177277,235257668,234248060,233137745,231910298,230547546,229016543,227280145,227280144,265560644,220347587,217216234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146635, s2 = 11467580, dlinesl.size( ) = 14 s1 = 11961671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9513009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14254150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11471749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471749, s2 = 11203986, int(edited[s2]) = 0 s1 = 11471749, s2 = 11203986, d1 = 74, d2 = 6 Dl.O(d1) = 264573405,265438593,224970359,227004519,274525973 Dl.O(d2) = 153212120,153212122,140530102,140530103,127183661,127183660,127183658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471749, s2 = 11203986, dlinesl.size( ) = 62 s1 = 15005700, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15005700, s2 = 14350449, int(edited[s2]) = 0 s1 = 15005700, s2 = 14350449, d1 = 0, d2 = 0 Dl.O(d1) = 203717446,197144159,189443183,180537216,170404812,159071084,146707430,146707431,146707428,146707429,159071081,170404808,180537207,189443171,197144136,203717419,204255189,209660650,264374796,204255180,263739688,181362647,171334889,171334890,181362648,190170776,190170772,190170773,184725566,184725565,184725568,262533170,261503632,126392388,126392389,126392386,126392387,139767779,152488267,164355614,165932363,154173352,141509841,133853587,119987950,105754012,91530863,91530864,86268993,72668746,59928637,257063718,86268995,100234292,114266439,128150998,128150997,141509844,154173355,153213863,153213864,156219256,167813971,156219255,143688627,130361950,258915060,74793198,61996795,50505240,255591844,24262389,17884452,17884455,15810344,10956108,10956110,8591785,5582638,3463720,3463716,5582620,8401170,8602702,8602701,12667601,17869953,12654643,12654644,17869957,24246628,24247065,17870253,17870252,24247063,29425832,29425831,37987334,40155252,39724979,39724978,42283090,41758215,32837380,25132296,18579216,18579217,25132297,26626322,26626321,25539320,18927079,13493052,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,26996113,35080968,26996126,26996127,25539661,18927317,18927316,25539657,268047224,15986064,15986065,22093883,29424669,33383295,25617496,25617495,33383289,42372293,40499445,40499446,38518581,33301476,25539316,25539315,30502492,26157838,26157839,33999708,42453840,33704560,25898338,25898339,33704565,37754788,37886062,34002827,34002828,41957530,34000752,26158977,26158978,25702604,19462665,13928400,13928401,15634184,10819124,10819123,15068582,20980640,256286817,46501910,57858092,70559696,84095918,97969432,259899168,111906490,125723751,111906487,97969415,84095905,84095904,97969414,111906484,97969413,97969414,111906485,117662575,117662576,111906507,111906508,111906494,111906493,117662583,117662581,122290234,107875744,107875745,122290236,136265191,125723770,111906504,97969429,97969430,103529938,89433889,75670519,75670518,89433887,103529935,111906497,97969424,97969423,97969431,97969432,111906508,111906494,111906493,103529939,89433891,89433890,75670521,62723997,51091938,40948481,32168808,24582938,18139328,18139329,24582940,19648784,14083581,14083580,269142368,24582886,18139479,12863018,12863017,255614203,19648781,14083576,9687236,9687237,14083579,14083589,14083587,9687241,9687240,14083585,19648788 Dl.O(d2) = 203717446,197144159,189443183,180537216,170404812,159071084,146707430,146707431,146707428,146707429,159071081,170404808,180537207,189443171,197144136,203717419,204255189,209660650,264374796,204255180,263739688,181362647,171334889,171334890,181362648,190170776,190170772,190170773,184725566,184725565,184725568,262533170,261503632,126392388,126392389,126392386,126392387,139767779,152488267,164355614,165932363,154173352,141509841,133853587,119987950,105754012,91530863,91530864,86268993,72668746,59928637,257063718,86268995,100234292,114266439,128150998,128150997,141509844,154173355,153213863,153213864,156219256,167813971,156219255,143688627,130361950,258915060,74793198,61996795,50505240,255591844,24262389,17884452,17884455,15810344,10956108,10956110,8591785,5582638,3463720,3463716,5582620,8401170,8602702,8602701,12667601,17869953,12654643,12654644,17869957,24246628,24247065,17870253,17870252,24247063,29425832,29425831,37987334,40155252,39724979,39724978,42283090,41758215,32837380,25132296,18579216,18579217,25132297,26626322,26626321,25539320,18927079,13493052,13493051,15637048,21675286,28956369,29944648,33301801,25539631,25539627,25539458,23975378,23975375,31471326,31268207,25726064,25726067,21118756,21118755,28329366,28329312,21118728,21118731,25539353,25132947,25132949,26996113,35080968,26996126,26996127,25539661,18927317,18927316,25539657,268047224,15986064,15986065,22093883,29424669,33383295,25617496,25617495,33383289,42372293,40499445,40499446,38518581,33301476,25539316,25539315,30502492,26157838,26157839,33999708,42453840,33704560,25898338,25898339,33704565,37754788,37886062,34002827,34002828,41957530,34000752,26158977,26158978,25702604,19462665,13928400,13928401,15634184,10819124,10819123,15068582,20980640,256286817,46501910,57858092,70559696,84095918,97969432,259899168,111906490,125723751,111906487,97969415,84095905,84095904,97969414,111906484,97969413,97969414,111906485,117662575,117662576,111906507,111906508,111906494,111906493,117662583,117662581,122290234,107875744,107875745,122290236,136265191,125723770,111906504,97969429,97969430,103529938,89433889,75670519,75670518,89433887,103529935,111906497,97969424,97969423,97969431,97969432,111906508,111906494,111906493,103529939,89433891,89433890,75670521,62723997,51091938,40948481,32168808,24582938,18139328,18139329,24582940,19648784,14083581,14083580,269142368,24582886,18139479,12863018,12863017,255614203,19648781,14083576,9687236,9687237,14083579,14083589,14083587,9687241,9687240,14083585,19648788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15005700, s2 = 14350449, dlinesl.size( ) = 2 s1 = 15005700, s2 = 14350449, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15005700, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 6672683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474001, s2 = 11114050, int(edited[s2]) = 0 s1 = 11474001, s2 = 11114050, d1 = 13, d2 = 35 Dl.O(d1) = 203792566,197230771 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474001, s2 = 11114050, dlinesl.size( ) = 36 s1 = 14005850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11475499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475499, s2 = 11325328, int(edited[s2]) = 0 s1 = 11475499, s2 = 11325328, d1 = 21, d2 = 9 Dl.O(d1) = 209855213,214249599,214985159,214985160 Dl.O(d2) = 263040804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475499, s2 = 11325328, dlinesl.size( ) = 22 s1 = 15877943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11476047, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14001731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11477143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477143, s2 = 7138212, int(edited[s2]) = 0 s1 = 11477143, s2 = 7138212, d1 = 61, d2 = 56 Dl.O(d1) = 210756171,214962266,274489240 Dl.O(d2) = 104852080,258125560,98679415,257515880,263100383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477143, s2 = 7138212, dlinesl.size( ) = 32 s1 = 4864562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11965649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11549659, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15211315, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11468779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15211387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15211387, s2 = 5730641, int(edited[s2]) = 0 s1 = 15211387, s2 = 5730641, d1 = 56, d2 = 58 Dl.O(d1) = 263179662,207203417,207203418 Dl.O(d2) = 267433378,267416708,244889450,267380444,244298590,244071985,267268686,243283178,242980649,242657029,242310233,241935727,241530528,241092550,240620769,240111837,239562893,238968360,238321625,237610861,236829450,235970100,235026637,266400420,232852233,231595594,230195109,228618062,226824505,224767546,222397513,219636085,216366891,212424222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15211387, s2 = 5730641, dlinesl.size( ) = 36 s1 = 11482115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482115, s2 = 11217310, int(edited[s2]) = 0 s1 = 11482115, s2 = 11217310, d1 = 16, d2 = 46 Dl.O(d1) = 207273874,207273875,212148713,207273873 Dl.O(d2) = 194336658,186134432,176722545,166085575,166085576,176722547,176721210,166084245,261217144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482115, s2 = 11217310, dlinesl.size( ) = 50 s1 = 14133322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14133322, s2 = 8014244, int(edited[s2]) = 0 s1 = 14133322, s2 = 8014244, d1 = 32, d2 = 29 Dl.O(d1) = 263929460,186139619,176728215,176728216,262752884,163554340 Dl.O(d2) = 258073060,254966033,6431007,6431006,9781387,14228598,19860006,26677610,22358376,22358375,29714094,31162284,30886713,27955573,20794120,14901792,10245923,10245924,14901794,17869523,14901629,14901632,18881256,255260634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14133322, s2 = 8014244, dlinesl.size( ) = 32 s1 = 15332638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15008444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15211469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15211469, s2 = 15008443, int(edited[s2]) = 0 s1 = 15211469, s2 = 15008443, d1 = 0, d2 = 12 Dl.O(d1) = 159203148 Dl.O(d2) = 264288730,212710728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15211469, s2 = 15008443, dlinesl.size( ) = 2 s1 = 15211469, s2 = 15008443, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15211469, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 11967551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485807, s2 = 14314097, int(edited[s2]) = 0 s1 = 11485807, s2 = 14314097, d1 = 0, d2 = 30 Dl.O(d1) = 213332062,217115865,220261480 Dl.O(d2) = 266546641,266546638,235235391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485807, s2 = 14314097, dlinesl.size( ) = 28 s1 = 14134040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14134040, s2 = 6406541, int(edited[s2]) = 0 s1 = 14134040, s2 = 6406541, d1 = 0, d2 = 100 Dl.O(d1) = 213752656,217442117 Dl.O(d2) = 267703153,247870274,247877234,267705730,267704178,247862961,247855411,247847675,247840326,247833311,247826793,247820667,247814831,247809040,247803106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14134040, s2 = 6406541, dlinesl.size( ) = 40 s1 = 13563955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12313436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10569743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10569743, s2 = 11487666, int(edited[s2]) = 0 s1 = 10569743, s2 = 11487666, d1 = 6, d2 = 0 Dl.O(d1) = 265378401,221326047,221326048 Dl.O(d2) = 211649259,206690798,200689715,193577163,263125269,165034925,153216391,140534553,127188439,113329504,99326709,85382521,71793762,59052473,47651302,37729389,29169105,21859697,15787314,267969399,7236811 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8600361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7247528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13736456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210066, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14210066, s2 = 14986628, int(edited[s2]) = 0 s1 = 14210066, s2 = 14986628, d1 = 27, d2 = 22 Dl.O(d1) = 230059685,228464557,226649435,224567010,222169942,219377911,216073871 Dl.O(d2) = 154798478,154798477,166504743,166504739,154798474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14210066, s2 = 14986628, dlinesl.size( ) = 8 s1 = 11437535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15184779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11494017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494017, s2 = 11492544, int(edited[s2]) = 0 s1 = 11494017, s2 = 11492544, d1 = 32, d2 = 31 Dl.O(d1) = 212132949,216117635,273861258,264493344,216117637,216117638,219418508 Dl.O(d2) = 226678980,264982486,274191044,264750770,222206730,219418505,219418504,222206728,222320933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494017, s2 = 11492544, dlinesl.size( ) = 44 s1 = 14254634, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11970767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11970767, s2 = 10696000, int(edited[s2]) = 0 s1 = 11970767, s2 = 10696000, d1 = 12, d2 = 0 Dl.O(d1) = 264245534 Dl.O(d2) = 154370974,154370973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11970767, s2 = 10696000, dlinesl.size( ) = 8 s1 = 4937240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4937240, s2 = 7226487, int(edited[s2]) = 0 s1 = 4937240, s2 = 7226487, d1 = 3, d2 = 1 Dl.O(d1) = 204003451,209444894,213909644 Dl.O(d2) = 264251614,180934558,170807617,159469916,147095881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4937240, s2 = 7226487, dlinesl.size( ) = 2 s1 = 4937240, s2 = 7226487, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 4937240, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 5207081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10357812, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10357812, s2 = 7440938, int(edited[s2]) = 0 s1 = 10357812, s2 = 7440938, d1 = 27, d2 = 34 Dl.O(d1) = 263235905 Dl.O(d2) = 266447367,266682747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10357812, s2 = 7440938, dlinesl.size( ) = 34 s1 = 11495627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495627, s2 = 11428194, int(edited[s2]) = 0 s1 = 11495627, s2 = 11428194, d1 = 0, d2 = 10 Dl.O(d1) = 212619641,207826781 Dl.O(d2) = 273789326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495627, s2 = 11428194, dlinesl.size( ) = 6 s1 = 15011666, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15011679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13813036, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14254734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14254734, s2 = 7915002, int(edited[s2]) = 0 s1 = 14254734, s2 = 7915002, d1 = 26, d2 = 25 Dl.O(d1) = 265791548,226919545,226919544,226919546,224875944,222521932,219780996,264873876,212617540,207824461,207824460,212617538,216533630,265094288,212617538,216533630,274310522,274043854,207824459 Dl.O(d2) = 257788442,49948661,256127378,31733699,24225066,24225067,30158526,30158524,38741032,37114223,35306866,254454924,255287080,256558160,23771221,257059525,31240512,257642081,258873463,258378698,70960094,58243753,46876867,36998531,36998532,46876871,254667492,36998534,28755998,21496571,21496572,28756000,22863556,16636449,16636447,22863550,30259408,28755974,21496556,21496557,28755975,37289895,255291066,33819036,26001852,19329175,19329174,26001851,33819033,254456466,53322572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14254734, s2 = 7915002, dlinesl.size( ) = 18 s1 = 11972725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075737, s2 = 11499610, int(edited[s2]) = 0 s1 = 11075737, s2 = 11499610, d1 = 9, d2 = 0 Dl.O(d1) = 260975051,262564425,273494085,264395918 Dl.O(d2) = 204309036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075737, s2 = 11499610, dlinesl.size( ) = 6 s1 = 11502285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502285, s2 = 10383971, int(edited[s2]) = 0 s1 = 11502285, s2 = 10383971, d1 = 16, d2 = 19 Dl.O(d1) = 274265453,226229508,228084958,229712910 Dl.O(d2) = 228084956,265265914,274529110,235658971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502285, s2 = 10383971, dlinesl.size( ) = 14 s1 = 14136728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14136728, s2 = 11386514, int(edited[s2]) = 0 s1 = 14136728, s2 = 11386514, d1 = 9, d2 = 12 Dl.O(d1) = 263994018 Dl.O(d2) = 126805298,260753002,259541280,112951297,126805298,260753002,140155610,152849752,263112079 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14136728, s2 = 11386514, dlinesl.size( ) = 14 s1 = 4874085, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15212195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11356149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356149, s2 = 11505022, int(edited[s2]) = 0 s1 = 11356149, s2 = 11505022, d1 = 9, d2 = 11 Dl.O(d1) = 263136705 Dl.O(d2) = 193700899,200797707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356149, s2 = 11505022, dlinesl.size( ) = 6 s1 = 11974789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12316520, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15265269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15015116, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15015116, s2 = 11292300, int(edited[s2]) = 0 s1 = 15015116, s2 = 11292300, d1 = 23, d2 = 54 Dl.O(d1) = 217589040 Dl.O(d2) = 262477610,147147232,139287287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15015116, s2 = 11292300, dlinesl.size( ) = 66 s1 = 15431481, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11976983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11751281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11512263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512263, s2 = 11464832, int(edited[s2]) = 0 s1 = 11512263, s2 = 11464832, d1 = 20, d2 = 18 Dl.O(d1) = 265356779,226194131,265837877 Dl.O(d2) = 264951114,206214216,200137323 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7754431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7754431, s2 = 16320168, int(edited[s2]) = 0 s1 = 7754431, s2 = 16320168, d1 = 70, d2 = 45 Dl.O(d1) = 274434897,265177016,221938590 Dl.O(d2) = 260535214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7754431, s2 = 16320168, dlinesl.size( ) = 100 s1 = 14138255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138255, s2 = 12320083, int(edited[s2]) = 0 s1 = 14138255, s2 = 12320083, d1 = 14, d2 = 23 Dl.O(d1) = 221528988 Dl.O(d2) = 265450790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138255, s2 = 12320083, dlinesl.size( ) = 8 s1 = 11513873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4808493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4808493, s2 = 10281142, int(edited[s2]) = 0 s1 = 4808493, s2 = 10281142, d1 = 7, d2 = 7 Dl.O(d1) = 189095409,196844993,196844992,196844994,196844993,196844992,203475090,209026784,213583872,217316076,220424243,220424246,264859727,209026785,209026784,213583872,217316076,265282065,265630997,227320176,225341691,225341690,225341689,225341685,225341686,227320174,227320176,225341691,223064404,220424244,264859725,209026785,209026784,213583872,217316075,220424242,223064401,225341686,225341692,223064406,220424245,264859727,209026785,209026784,213583872,217316076,265282065,223064405,220424244,264859725,209026785,209026784,213583872,217316076,265282065,265630997,227320176,227320175,229049102,230575194,231935231,233161249 Dl.O(d2) = 189095409,196844993,196844992,196844994,196844993,196844992,203475090,209026784,213583872,217316076,220424243,220424246,264859727,209026785,209026784,213583872,217316076,265282065,265630997,227320176,225341691,225341690,225341689,225341685,225341686,227320174,227320176,225341691,223064404,220424244,264859725,209026785,209026784,213583872,217316075,220424242,223064401,225341686,225341692,223064406,220424245,264859727,209026785,209026784,213583872,217316076,265282065,223064405,220424244,264859725,209026785,209026784,213583872,217316076,265282065,265630997,227320176,227320175,229049102,230575194,231935231,233161249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4808493, s2 = 10281142, dlinesl.size( ) = 2 s1 = 4808493, s2 = 10281142, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 4808493, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14166742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11978809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15301360, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15301360, s2 = 5125362, int(edited[s2]) = 0 s1 = 15301360, s2 = 5125362, d1 = 35, d2 = 61 Dl.O(d1) = 255575415 Dl.O(d2) = 212736369,265046249,265046247,265046249,265758931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15301360, s2 = 5125362, dlinesl.size( ) = 50 s1 = 15880242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15880242, s2 = 6718448, int(edited[s2]) = 0 s1 = 15880242, s2 = 6718448, d1 = 115, d2 = 137 Dl.O(d1) = 232202397 Dl.O(d2) = 257671656,67691724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15880242, s2 = 6718448, dlinesl.size( ) = 64 s1 = 11979177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517525, s2 = 10650301, int(edited[s2]) = 0 s1 = 11517525, s2 = 10650301, d1 = 12, d2 = 11 Dl.O(d1) = 264600934,208277489,208277490 Dl.O(d2) = 216859582,216859580,216859570,212999432,264020744,195736331,187773878,178640373,168304739,156836310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517525, s2 = 10650301, dlinesl.size( ) = 2 s1 = 11517525, s2 = 10650301, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11517525, Dl.E( ) = 20, 1.1e-05 seconds used appending s1 = 14255146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12318592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139430, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14255212, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11521287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11521287, s2 = 11584856, int(edited[s2]) = 0 s1 = 11521287, s2 = 11584856, d1 = 4, d2 = 10 Dl.O(d1) = 265685575,229604829 Dl.O(d2) = 266203387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11521287, s2 = 11584856, dlinesl.size( ) = 12 s1 = 11981017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11981017, s2 = 10723828, int(edited[s2]) = 0 s1 = 11981017, s2 = 10723828, d1 = 4, d2 = 18 Dl.O(d1) = 224943142 Dl.O(d2) = 274212291,212726714,207952929,202162929,195276946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11981017, s2 = 10723828, dlinesl.size( ) = 12 s1 = 11981251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11981251, s2 = 6315867, int(edited[s2]) = 0 s1 = 11981251, s2 = 6315867, d1 = 1, d2 = 73 Dl.O(d1) = 226472167 Dl.O(d2) = 245835930,267502833,246090962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11981251, s2 = 6315867, dlinesl.size( ) = 40 s1 = 11571125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571125, s2 = 11523326, int(edited[s2]) = 0 s1 = 11571125, s2 = 11523326, d1 = 8, d2 = 4 Dl.O(d1) = 266425754 Dl.O(d2) = 265718322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571125, s2 = 11523326, dlinesl.size( ) = 8 s1 = 11523377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11523377, s2 = 11445864, int(edited[s2]) = 0 s1 = 11523377, s2 = 11445864, d1 = 5, d2 = 0 Dl.O(d1) = 266064784,206889333,200914593,193833153,185573760 Dl.O(d2) = 165427516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11523377, s2 = 11445864, dlinesl.size( ) = 12 s1 = 14143682, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 5366474, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5366474, s2 = 14162541, int(edited[s2]) = 0 s1 = 5366474, s2 = 14162541, d1 = 3, d2 = 0 Dl.O(d1) = 233883230,232736734,231468303,230052469,228456590,226640766,224557820,222160080,222160081,274262686,265003801,222160081,265159636,264450228,264159726,176601658,165955914,154196655,141533444,128175538,262140102,270795046,59965830,72703233,86300441,85514587,71926933,59187355,47787246 Dl.O(d2) = 15872363,11001330,11001333,15872368,20155067,21317091,21317092,18062987,12806079,12806078,12806123,18063034,18306569,12994851,12994850,9552303,9412174,6166642,5969263,3733057,2235142,1296263,1296262,2235134,3733046,5969247,9122380,9916429,9122330,5969215,5969214,6167031,3858793,2311742,2311741,3858792,6167028,9165308,9122967,9122966,9412767,254730589,7002130,10611657,255396819,10606724,6998312,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734204,5971267,9125220,9123727,5970220,3733590,3733589,5970218,6194170,8629769,12702084,9125283,254916401,9122126,9122125,9333329,13630456,15354789,10607766,254498505,4398607,6999118,10607761,10675596,10675597,15441545,20108240,15745406,15745405,13731816,13731817,13166970,8975153,5859193,5859192,8975150,13166968,10600761,6994002,4395404,2633953,1521068,862440,486746,273719,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883375,6204354,9462441,10905108,15745655,12826207,8720562,5676370,5676371,8720564,12826214,18091238,24522473,25333054,25333053,28608485,28608486,255696796,10638011,7022670,7022671,8994675,6166735,6148300,3847223,2305251,2305250,3847221,6148292,8778541,12904948,14420470,9918993,6518908,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971377,6415110,6415108,9756463,14192587,19813749,26624317,34613307,43884508,54626853,270110635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5366474, s2 = 14162541, dlinesl.size( ) = 2 s1 = 5366474, s2 = 14162541, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 5366474, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 12319508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11982413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12320084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11528251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528251, s2 = 7007862, int(edited[s2]) = 0 s1 = 11528251, s2 = 7007862, d1 = 18, d2 = 25 Dl.O(d1) = 265235698,214105615 Dl.O(d2) = 160142256,171362666,181385432,171362667,160142258,147892881,261267638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528251, s2 = 7007862, dlinesl.size( ) = 18 s1 = 10708665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10708665, s2 = 11528342, int(edited[s2]) = 0 s1 = 10708665, s2 = 11528342, d1 = 17, d2 = 14 Dl.O(d1) = 77880726,91803322,105998398,120199462,134032778,147249432 Dl.O(d2) = 263357865,181044062,189917392,197568250,204082655,209517671,213977046,217637583,218851316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10708665, s2 = 11528342, dlinesl.size( ) = 8 s1 = 11528525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528525, s2 = 11461482, int(edited[s2]) = 0 s1 = 11528525, s2 = 11461482, d1 = 16, d2 = 14 Dl.O(d1) = 225668400,227604106,265655980,223445138,220876254,265312161,265655985 Dl.O(d2) = 265312156,217862434,214256241,209864332,209864333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528525, s2 = 11461482, dlinesl.size( ) = 8 s1 = 11528541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528541, s2 = 14103928, int(edited[s2]) = 0 s1 = 11528541, s2 = 14103928, d1 = 12, d2 = 8 Dl.O(d1) = 265073010,264329888,204509229,204509228 Dl.O(d2) = 262971713,190542517,181806702,262425076,148391168,135224836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528541, s2 = 14103928, dlinesl.size( ) = 18 s1 = 11529311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529311, s2 = 11357642, int(edited[s2]) = 0 s1 = 11529311, s2 = 11357642, d1 = 40, d2 = 0 Dl.O(d1) = 265136828,214869361,210653462,205493284,205493287,210653468,214869371 Dl.O(d2) = 137300813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529311, s2 = 11357642, dlinesl.size( ) = 20 s1 = 11279477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279477, s2 = 7397380, int(edited[s2]) = 0 s1 = 11279477, s2 = 7397380, d1 = 16, d2 = 27 Dl.O(d1) = 260622033 Dl.O(d2) = 265871665,231451333,232721187,266336767,266233576,274598450,230020136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279477, s2 = 7397380, dlinesl.size( ) = 22 s1 = 11531187, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11531219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531335, s2 = 11632328, int(edited[s2]) = 0 s1 = 11531335, s2 = 11632328, d1 = 33, d2 = 49 Dl.O(d1) = 265704669,229816597 Dl.O(d2) = 274861925,274933883,275005303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531335, s2 = 11632328, dlinesl.size( ) = 68 s1 = 11531523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531523, s2 = 15284774, int(edited[s2]) = 0 s1 = 11531523, s2 = 15284774, d1 = 62, d2 = 75 Dl.O(d1) = 224273520,221835909 Dl.O(d2) = 255858912,10821870,7151942,7151941,10821925,15638644,16473216,11477674,10454020,10454021,11477667,11477664,13408513,9167179,7469832,4720608,4720607,7469828,11252815,7634081,4829701,4829702,2910396,1688397,960190,541196,541195,960186,1688388,2910377,4829762,7634202,11478044,11425624,11425625,11425635,11425637,16409729,11477917,11477915,10854063,7176020,4520415,4520411,5201367,5201368,8119065,254229200,23447737,30878302,29038863,21746628,15694867,15694868,21746630,29038867,33154069,25412890,25412889,33154067,42108591,47482181,37576272,255051094,49413698,39483884,30878295,30878294,29033772,29017982,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229130,31738043,40432211,50469897,49728690,49728689,47466013,47466012,58850492,61963855,61969724,58849049,58849051,49804726,49804729,59882721,49283563,49283562,47492552,37588109,29040582,29040583,37588113,47492560,58873175,61540620,61540619,71553847,58852999,58852998,50481775,40445464,40445462,37557414,29011089,21724180,21724179,29011084,29042963,37590386,47494727,48407949,48162638,48162640,40432006,40432007,33153822,25412696,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023821,37570575,47476478,58857729,47474710,47474708,58857724,71582066,85147673,85147674,71587334,58864133,58855620,47471465,37564597,37564598,47471467,58855625,58859269,71583351,60684563,60684564,71590049,58867312,47485617,47485618,58867316,256448840,48093077,59482565,58859383,49728275,47476677,47476490,37570588,29023826,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071115,17167595,23441459,24239856,31751556,37585433,40440132,40440131,47490384,40441236,40441237,40440773,40438185,31743953,31743954,37556992,29010776,29010777,37556996,30755715,30755716,39356469,40446775,40446776,50483020,40446666,40446665,37575657,37575656,37570406,37570404,40446318,31751386,31751385,40431456,50469297,40434469,31740148,24230701,254813910,17857719,24230750,29028723,37575862,29028715,29028713,37575855,47481727,58864042,61969932,61968233,50473927,40436863,40436865,40431338,38869261,30283433,30283434,38869267,48791506,58874584,58024300,46651970,36767320,28272331,28272330,36767315,37584470,37584468,47489472,58851647,47467380,37560517,29014051,24233155,24233156,31743066,40437285,43052208,39356866,30755991,29046989,29046991,24238390,17863337,12650030,8588898,5580951,3462704,2053503,1178129,1178134,2053531,3462776,5581064,8589045,12650301,17863706,21752348,15699061,10867815,10867816,15699066,21752357,29045389,37593082,37366168,28825916,28825915,37366165,47276182,37580824,37580825,30044453,30044452,37564524,29017882,21729476,15682595,15682593,21729461,28313724,29017836,37564507,268076486,25412266,21752089,268076482,37592752,47497184,58858509,58853258,47469118,47469119,47490395,50470713,40433013,31738684,24229615,17856916,17856919,24229603,31738657,37590467,37590464,37575219,31744307,31744311,24234168,24234173,31737845,24229041,24229044,23551800,17243600,12126335,8158182,5229157,5229158,8158186,12126350,17243634,23551850,30447817,30447816,39037207,48959057,60355193,256893904,60830757,49428598,39497315,39497316,49428602,60830761,73580483,87049943,73432516,60684593,49283514,49283513,58841624,47455986,37548011,37548010,47455983,58841621,71568485,60684695,60684694,61974604,63132570,61298587,61298590,74079905,257473056,50475967,50471369,50471367,61966419,74766084,88400034,95336643,81277866,81277867,258015814,100886686,257473708,257099470,74765521,257682642,39178177,39178178,40433656,31739404,31739407,31739423,24230224,17857349,17857348,24230271,29288436,21962176,15868817,10998564,10998563,15868850,21962251,29288579,37857224,30890083,23457379,23457374,21069282,15134278,10438109,10438111,15134318,255806163,36767361,46651988,47497134,256353084,61973550,50480991,40444648,254746170,47471436,58855594,71580837,58873406,47492783,37588314,37588313,47492780,58873394,60210572,48814500,48814499,58861396,49728342,39709789,31032819,31032820,39709792,31142800,23655683,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733978,21733979,29023359,24235301,17860958,12648291,12648290,17860955,24235289,31745717,31746257,31746256,39356594,39356593,255838762,50497830,50497832,50497809,40461926,31767429,28048389,20880123,255788029,36512552,46371447,46331742,36476218,28015587,28015588,36476221,46331749,57678546,70370339,74766478,61967043,256931530,24230948,17857807,17857805,21574406,21705001,28988772,37533515,47441415,49777902,47295796,37386496,29549428,22205787,22205785,29549421,38112251,48021813,59408348,59408448,59408445,61964798,50482008,40445627,31750871,24239361,24239358,31750857,40445591,50481948,58686915,47296007,37386652,37386653,47296013,50497828,47493014,42312458,33332167,33332168,42312465,40436905,40436902,37386693,28846406,21574488,15551287,10755666,7105927,4473744,4473742,7105915,10755643,15551251,21574420,28846316,37386575,38519957,47295769,47295768,37386491,37386489,47295785,47472234,58856113,59162811,59162769,59162770,61332186,71900918,61964873,50481984,40445612,40445611,50481977,61974288,59162528,47763746,37841107,37841105,47763739,49973676,61451504,71419807,72548809,62726657,51094517,51094514,62726647,257048008,103533442,103533444,112905711,98918152,258914732,71420015,258954045,62726582,51094458,40951257,32171845,24585948,24585949,32171852,40951271,51094474,58862271,47479731,47479729,37593310,37593307,37593297,37593301,44422643,37589563,37589564,39408231,49337632,48428631,38520984,29956055,22591797,22591795,29956050,32834810,40257688,46489218,36622658,36622657,46489213,37841348,29274719,25129393,18576707,18576704,25129381,32834514,41755561,52069389,58857754,58857756,59162572,52069718,41755955,32834829,25129576,24585941,18141703,12864640,12864642,18141709,24585958,32171879,35048680,37573887,29027077,21736860,21736858,29027071,32834375,25129289,25129291,25129162,25129158,32834159,41755147,39393970,39393971,32834588,32834590,41755655,44423149,44423136,38651521,38651524,48566978,39408155,39408152,41755522,32834494,25129370,25129369,30755755,30803621,30803620,39408378,40274579,46758847,49818485,49818540,46758863,46758819,36880012,36880011,35048259,35048086,32171913,24585981,24585982,29955820,22591638,22591641,22591583,16408893,16408892,22591581,21733831,21733829,29023151,37569646,32834552,32834551,41755606,52069431,49337587,39408189,30803502,30803503,39408193,49337592,49818397,49818396,49818913,39798297,31117739,31117738,39797682,31117189,30803599,23375743,23375742,30803596,39357185,39357184,49284268,58127193,48213190,38303026,256019040,59600696,52069623,41755866,41755868,38520576,29955712,22591572,22591573,29955720,38520595,37366122,37366117,29027118,21736882,15687702,10860165,10860167,15687710,21736898,29027153,37573995,35237248,27141432,20233558,14519234,14519235,20233563,16874387,12190527,8220674,5290543,5290545,8220677,12190534,16656939,11624536,7891014,7891013,11812720,12196022,12196019,11425030,7594633,7594632,11425027,16408705,22591338,16883151,16883150,23143200,30560192,23300451,17040266,17040265,23300449,30717800,39316219,49243294,49287522,39360472,30759511,23336772,17070488,11981424,11981426,255531397,30759517,39360480,49287527,46422089,36558637,28089230,28089231,31117723,39360495,30759528,23336786,268225202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531523, s2 = 15284774, dlinesl.size( ) = 54 s1 = 11532319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11984469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11532631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9292616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15213319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11985537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5648065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5648065, s2 = 13998826, int(edited[s2]) = 0 s1 = 5648065, s2 = 13998826, d1 = 17, d2 = 18 Dl.O(d1) = 230675508,265582166 Dl.O(d2) = 260054880,119987497,105753478,91530253,91530250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5648065, s2 = 13998826, dlinesl.size( ) = 16 s1 = 14124821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124821, s2 = 11537856, int(edited[s2]) = 0 s1 = 14124821, s2 = 11537856, d1 = 0, d2 = 4 Dl.O(d1) = 191978714 Dl.O(d2) = 223797433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124821, s2 = 11537856, dlinesl.size( ) = 2 s1 = 14124821, s2 = 11537856, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14124821, Dl.E( ) = 16, 1.31e-05 seconds used appending s1 = 11986791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582729, s2 = 13118403, int(edited[s2]) = 0 s1 = 11582729, s2 = 13118403, d1 = 48, d2 = 52 Dl.O(d1) = 266324820 Dl.O(d2) = 78381719,65097978,53111199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582729, s2 = 13118403, dlinesl.size( ) = 46 s1 = 12322146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12322146, s2 = 6701180, int(edited[s2]) = 0 s1 = 12322146, s2 = 6701180, d1 = 17, d2 = 15 Dl.O(d1) = 265863145,266116587,266330921,266703239,274934597,274665588,266115612 Dl.O(d2) = 176034574,185506062,185506061,193771328,193771333,193771332,200858674,200858672,206839677,211781351,206839663,200858660,200858661,264497251,206839670,206839669,211781357,206839684,263892881,185506066,176034572,262736088,260584647,140875960,153551325,165342226,176034570,185506064,193771332,200858674,200858672,206839677,211781351,206839663,200858660,200858661,264497251,206839670,206839669,211781357,206839684,263892881,185506066,176034572,262736088,99635719,85686977,72101090,257508085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12322146, s2 = 6701180, dlinesl.size( ) = 2 s1 = 12322146, s2 = 6701180, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12322146, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14140252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542395, s2 = 14161666, int(edited[s2]) = 0 s1 = 11542395, s2 = 14161666, d1 = 12, d2 = 29 Dl.O(d1) = 227008128,227008129 Dl.O(d2) = 208014699,212780953,216678101,219908406,216678091,216678092,219908408,222634302,222634301,219908404,265215926,212780950,208014696,202234915,195360631,273558278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542395, s2 = 14161666, dlinesl.size( ) = 24 s1 = 11258573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258573, s2 = 11409466, int(edited[s2]) = 0 s1 = 11258573, s2 = 11409466, d1 = 112, d2 = 111 Dl.O(d1) = 103718091,117871662,261370943,157359855,168798205 Dl.O(d2) = 173659569,162637097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258573, s2 = 11409466, dlinesl.size( ) = 58 s1 = 11544859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544859, s2 = 11259970, int(edited[s2]) = 0 s1 = 11544859, s2 = 11259970, d1 = 38, d2 = 0 Dl.O(d1) = 266389687,233364344,266069849,229347608,229347609,230834678,232164225,233364356,266185537,266069851,229347608,227670869,227670868,229347605,230834671,232164213,233364335,234452134,235442444,236346276,236346284,235442454,234452143,234452142,235442450,235442465 Dl.O(d2) = 227670869,274156198,273274127,172540444,182478141,191169745,273807188,169858881,180036342,188992618,196750823,191170003,182478138,172540447,161357828,149069936,135847915,121923045,121923047,135847867,146141220,262444895,158506468,161357731,161357425,149069519,135847507,135847505,140712376,127356414,261405754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544859, s2 = 11259970, dlinesl.size( ) = 44 s1 = 7384020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7384020, s2 = 7512099, int(edited[s2]) = 0 s1 = 7384020, s2 = 7512099, d1 = 44, d2 = 40 Dl.O(d1) = 266089676,228293792 Dl.O(d2) = 267369313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7384020, s2 = 7512099, dlinesl.size( ) = 46 s1 = 14143394, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15213765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12323328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15025120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15025120, s2 = 11239028, int(edited[s2]) = 0 s1 = 15025120, s2 = 11239028, d1 = 56, d2 = 36 Dl.O(d1) = 265157660,224565255,226647561,228462786,265686938,228462789,226647563,264944510,222168112,224565257,222168114,222168113,224565259,226647570,228462782,228462783,226647562,226647561,228462787,226647566,226647565,228462791,228462790,228462791,228462793,226647569,226647570 Dl.O(d2) = 256282662,11512444,7658303,4845584,2919983,2919980,1693850,1693855,2920019,4845663,7658431,11512646,9092596,5948436,3719943,2227494,2227490,2227480,2227484,3719910,5948379,9092489,12792277,12792276,18045533,254440806,21619835,21619836,28895391,255008568,260543139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15025120, s2 = 11239028, dlinesl.size( ) = 44 s1 = 7431548, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10865790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16389523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7378378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7378378, s2 = 15235048, int(edited[s2]) = 0 s1 = 7378378, s2 = 15235048, d1 = 45, d2 = 26 Dl.O(d1) = 232951665,232951666,234083673,235114361,266027442 Dl.O(d2) = 100765259,268257052,60425254,55343601,44497284,40179248,33383332,32317342,32317343,37950755,37950757,47868811,59264330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7378378, s2 = 15235048, dlinesl.size( ) = 8 s1 = 11549251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549251, s2 = 11395724, int(edited[s2]) = 0 s1 = 11549251, s2 = 11395724, d1 = 22, d2 = 5 Dl.O(d1) = 266147069,265834322,227923876 Dl.O(d2) = 210932847 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549251, s2 = 11395724, dlinesl.size( ) = 36 s1 = 11550645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550645, s2 = 14041456, int(edited[s2]) = 0 s1 = 11550645, s2 = 14041456, d1 = 6, d2 = 18 Dl.O(d1) = 229114851,227396796,263832182,220558104,220558103,223172721,225432440,227396794 Dl.O(d2) = 220558100,217483786,213798045,262136272,263067646,223172735,225432454,264447948,227396803,263832188,220558133,223172751,223172747,220558126,217483810,213798062,213798061,217483807,220558123,223172745,225432451,223172729,263067644,213798053,209306032,203829562,260482922,180682563,258635504,146840425,133582874,256283114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550645, s2 = 14041456, dlinesl.size( ) = 8 s1 = 15025970, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15025970, s2 = 14064300, int(edited[s2]) = 0 s1 = 15025970, s2 = 14064300, d1 = 21, d2 = 0 Dl.O(d1) = 265652044,220794002,220794001,217757117,217757118,220794014,220793993,217757100,265108339,220793982,217757090,274050827,204284478,204284479,209686152,214118170,209686161,264646039 Dl.O(d2) = 42697290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15025970, s2 = 14064300, dlinesl.size( ) = 2 s1 = 15025970, s2 = 14064300, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15025970, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 13996281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11554925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554925, s2 = 10398274, int(edited[s2]) = 0 s1 = 11554925, s2 = 10398274, d1 = 116, d2 = 98 Dl.O(d1) = 231509093 Dl.O(d2) = 223941143 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11555033, s2 = 10492103, int(edited[s2]) = 0 s1 = 11555033, s2 = 10492103, d1 = 2, d2 = 1 Dl.O(d1) = 265454102,212239196 Dl.O(d2) = 207383304,207383305,264322252,216206691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11555033, s2 = 10492103, dlinesl.size( ) = 8 s1 = 7325117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7325117, s2 = 10353152, int(edited[s2]) = 0 s1 = 7325117, s2 = 10353152, d1 = 18, d2 = 26 Dl.O(d1) = 265435205 Dl.O(d2) = 266357673,274633070,231391910,229967682,265720242,274275615,114454294,259376920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7325117, s2 = 10353152, dlinesl.size( ) = 16 s1 = 11992793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11992793, s2 = 11533918, int(edited[s2]) = 0 s1 = 11992793, s2 = 11533918, d1 = 28, d2 = 26 Dl.O(d1) = 266021020,230237428 Dl.O(d2) = 228665796,226878776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11992793, s2 = 11533918, dlinesl.size( ) = 36 s1 = 11556795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7225971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11993793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12325188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11571397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571397, s2 = 2637966, int(edited[s2]) = 0 s1 = 11571397, s2 = 2637966, d1 = 42, d2 = 3 Dl.O(d1) = 234895585 Dl.O(d2) = 74440991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571397, s2 = 2637966, dlinesl.size( ) = 20 s1 = 11561663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561663, s2 = 7740327, int(edited[s2]) = 0 s1 = 11561663, s2 = 7740327, d1 = 13, d2 = 41 Dl.O(d1) = 232920808,234055071,235088333 Dl.O(d2) = 274154671,260907080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561663, s2 = 7740327, dlinesl.size( ) = 14 s1 = 14145932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8913354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11996105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15883008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15883008, s2 = 10715255, int(edited[s2]) = 0 s1 = 15883008, s2 = 10715255, d1 = 159, d2 = 173 Dl.O(d1) = 266418419,234778859 Dl.O(d2) = 58373394,58373402,47003275,257438431,47003275,256859338 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11997131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11997131, s2 = 10425144, int(edited[s2]) = 0 s1 = 11997131, s2 = 10425144, d1 = 29, d2 = 27 Dl.O(d1) = 234291974,235296535,236212105,237046861 Dl.O(d2) = 238502627,266308558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11997131, s2 = 10425144, dlinesl.size( ) = 34 s1 = 5704198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10407376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10407376, s2 = 11569548, int(edited[s2]) = 0 s1 = 10407376, s2 = 11569548, d1 = 155, d2 = 179 Dl.O(d1) = 266287777 Dl.O(d2) = 232105223,233312511 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542055, s2 = 11569846, int(edited[s2]) = 0 s1 = 11542055, s2 = 11569846, d1 = 3, d2 = 9 Dl.O(d1) = 228720512 Dl.O(d2) = 266254281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542055, s2 = 11569846, dlinesl.size( ) = 8 s1 = 15247861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16283181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16283181, s2 = 11577043, int(edited[s2]) = 0 s1 = 16283181, s2 = 11577043, d1 = 10, d2 = 18 Dl.O(d1) = 31124884,23638959,268435813,257051523,31124897,255550013,17323329,23638968,256381934,17323321,12198503,12198502,15974380,22079883,256381932,254504523,10744743,15536230,21556702,28827436,37367504,47277394,50059313,40039806,256522966,23865759,17521576,12356099,12356100,17521577,23338447,17091136,254594420,5177547,5177546,5139378,3125710,1827148,1827149,3125712,5137841,5177723,3158950,3158949,5177721,8020011,8157737,5228498,3190301,1867070,1867069,3190299,5137262,7528664,5109020,3102069,1812468,1035031,583172,583173,1035034,1664984,2868794,4759393,5120805,3116833,1821502,1039846,1039847,1821503,2867922,3119248,1823057,1823058,3119252,254568947,8016021,8049479,5177384,3158579,3158578,5177382,7529084,7529027,7529029,8061480,7529034,4762248,4762249,7528673,11331341,8013956,8013955,8072909,7526851,4760220,267766990,4760233,7526861,11329842,8074144,8074143,8072505,8072506,12014272,254541254,254376462,254175240,17093195,12006317,12006318,17067313,17072696,11984440,11984439,17072593,11984329,11984328,16993097,16993096,254377420,11330146,7972877,7117549,7117548,254176402,16284713,16285266,16285268,16284700,16284699,11982030,254380022,16956243,11868432,11868433,13577589,9296609,6089869,3810264,2282312,1323725,755334,755336,1323733,756784,756785,1325998,2285837,3810313,6089927,6108810,3822286,3822284,3800191,2276266,2276264,2295953,1332219,760823,760820,1332209,2289456,2290608,2280326,1327511,1327513,2279445,1321973,755018,429007,242147,134550,73126,73127,73399,39723 Dl.O(d2) = 232876064,231620769,231620768,231620763,231620762,232876057,232876062,266139659,230222307,265748029,265422943,219685076,219685075,265593241,228648013,265889973,265889975,226857918,224804757,224804758,226857919,228648027,266019587,232876066,234012712,235048503,235991210,236849029,236309679,235401532,234405989,233312280,232104950,230765180,229262801,227563306,225620669,223387097,274373232,217769160,214133944,209706356,204308258,197838301,190247302,181453323,171435341,160215779,147964368,134843190,261406288,260241776,258997872,53176202,42726682,33696868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16283181, s2 = 11577043, dlinesl.size( ) = 16 s1 = 14256194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14179798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15257908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15257908, s2 = 14976662, int(edited[s2]) = 0 s1 = 15257908, s2 = 14976662, d1 = 27, d2 = 77 Dl.O(d1) = 235752475 Dl.O(d2) = 58834976,258705107,99057013,113044750,126897436,261677775,262676359,164763617,152934313,261677779,126897465,126897463,140244757,262195009,140244766,140244767,152934302,152934324,261128085,271781043,99057065,99057064,260550323,126897459,261128075,140244790,126897492,272695704,58835003,47448922,47448921,58835001,257470881,256348827,15668746,10847047,10847046,15668744,21711171,28995778,37541050,272367272,47448929,47448928,47448898,37541039,37541040,47448902,258081301,258705111,58834985,47448909,47448910,58834988,258705113,99057023,85132571,71562292,257470883,256348831,21711176,15668747,255050361,7170853,7170852,255050359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15257908, s2 = 14976662, dlinesl.size( ) = 8 s1 = 11999215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11999215, s2 = 8889735, int(edited[s2]) = 0 s1 = 11999215, s2 = 8889735, d1 = 0, d2 = 0 Dl.O(d1) = 265872494,229453497,266192399,233437316,232246183,230926428,229453483,227795357,227795356,265953165,230926456,230926453,229453501,229453502,230926455,232246213,232246236,233437370,232246229,232246230,230926477,230926461,230926462,232246223,233437367,233437388,233437379,232246237,230926480,230926479,232246195,233437334,234519453,233437384,232246240,232246241,233437387,234519500,235505510,236405298,237226936,266518846,235505496,235505495,235505516,236405302,266432024,234519443,233437319,232246184,230926429,229453483,266192395,230926440,232246199,230926469,230926470,232246226,232246225,232246209,266124540,232246186,266297955,233437349,266003382,229453500,265572276,223740979,265002414,218325101,221242045,223740984,225906577,227795383,229453516,230926463,230926462,232246223,233437367,233437388,233437379,232246237,230926480,230926479,232246195,233437334,234519453,233437384,232246240,232246241,233437387,234519500,235505510,236405298,237226936,266518846,235505496,235505495,234519469,234519468,235505515,235505531,234519502,233437391,232246246,232246196,232246197,233437336,234519456,233437342,232246202,230926449,229453495,227795367,225906567,223740977,265002412,273958657 Dl.O(d2) = 265872494,229453497,266192399,233437316,232246183,230926428,229453483,227795357,227795356,265953165,230926456,230926453,229453501,229453502,230926455,232246213,232246236,233437370,232246229,232246230,230926477,230926461,230926462,232246223,233437367,233437388,233437379,232246237,230926480,230926479,232246195,233437334,234519453,233437384,232246240,232246241,233437387,234519500,235505510,236405298,237226936,266518846,235505496,235505495,235505516,236405302,266432024,234519443,233437319,232246184,230926429,229453483,266192395,230926440,232246199,230926469,230926470,232246226,232246225,232246209,266124540,232246186,266297955,233437349,266003382,229453500,265572276,223740979,265002414,218325101,221242045,223740984,225906577,227795383,229453516,230926463,230926462,232246223,233437367,233437388,233437379,232246237,230926480,230926479,232246195,233437334,234519453,233437384,232246240,232246241,233437387,234519500,235505510,236405298,237226936,266518846,235505496,235505495,234519469,234519468,235505515,235505531,234519502,233437391,232246246,232246196,232246197,233437336,234519456,233437342,232246202,230926449,229453495,227795367,225906567,223740977,265002412,273958657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11999215, s2 = 8889735, dlinesl.size( ) = 2 s1 = 11999215, s2 = 8889735, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11999215, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11999267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11999267, s2 = 11032896, int(edited[s2]) = 0 s1 = 11999267, s2 = 11032896, d1 = 13, d2 = 4 Dl.O(d1) = 266357286,234546593,233464800,232273471,230954047,229482095,227825659,227825657,229482091,230954027,265898114,266146798,233464807,234546596,235531439,266256310,234546591,233464799,233464798,232273490,230954044,230954043,230954029,230954030,232273474 Dl.O(d2) = 67688049,55348354,256021932,31768366,31768365,40463030,40463018,256301638,28376433 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11999341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11999341, s2 = 10576608, int(edited[s2]) = 0 s1 = 11999341, s2 = 10576608, d1 = 52, d2 = 77 Dl.O(d1) = 266571647 Dl.O(d2) = 15200131,15200130,21155725,15996513,11104980,254717514,2802467,2802466,4652186,7364700,11104977,15195450,254491078,11935841,11935840,17020036,15334839,10591210,6986712,6986713,254221768,254097060,10593614,6988375,4391362,2631138,1519300,861442,486266,486262,254159039,1499337,849769,849770,847766,478736,254119147,1496131,1496088,1495280,1495279,2592566,2593679,2592462,1495224,1495225,2592464,4332117,2594667,1496626,848055,848054,1496623,2594014,4334145,4334347,2594204,1496301,847873,478799,478798,478833,269487,149382,149381,269484,478826,847920,1484634,839829,479984,479983,849846,1499460,1497750,1497751,2596345,4336791,4334461,2594289,1496354,848673,848676,847925,847926,1496388,2594328,1496923,1496926,1497356,2595797,4335726,2595776,1497615,848619,479152,479149,847420,1495480,2592873,2596169,2595826,2592848,2592847,4332608,4334299,4332597,2592840,2592839,4332590,6900657,10468085,15177813,10469923,10469924,15179443,254157470,4390275,4334434,2594266,2594265,4334290,6026716,9205433,13461096,18889243,21303189,15334384,10590869,10469910,10469911,6904209,6904208,6903965,4335916,4335917,6867889,4336643,2596185,1497624,1497622,2596182,4310514,6867970,10418309,15105036,254118984,21030053,21030052,254157298,254222014,57985025,50694052,47233914,47233915,58626604,256298056,98866823,112854805,126706618,140054043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11999341, s2 = 10576608, dlinesl.size( ) = 28 s1 = 14147698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11576167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11576167, s2 = 11595486, int(edited[s2]) = 0 s1 = 11576167, s2 = 11595486, d1 = 0, d2 = 1 Dl.O(d1) = 235822975,235822978 Dl.O(d2) = 237487126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11576167, s2 = 11595486, dlinesl.size( ) = 74 s1 = 15032588, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15032588, s2 = 14223767, int(edited[s2]) = 0 s1 = 15032588, s2 = 14223767, d1 = 57, d2 = 47 Dl.O(d1) = 266249935 Dl.O(d2) = 260098905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15032588, s2 = 14223767, dlinesl.size( ) = 60 s1 = 15032785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15032785, s2 = 5288006, int(edited[s2]) = 0 s1 = 15032785, s2 = 5288006, d1 = 15, d2 = 17 Dl.O(d1) = 196316619,274030451,220245715,265458013,227211626,228957531,230498436,266162637,234219314,235233060,236155718 Dl.O(d2) = 231480376,230065917,228472071,226658226,224577095,222181422,219391554,264776683,207225638,201309350,194279060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15032785, s2 = 5288006, dlinesl.size( ) = 30 s1 = 11578145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578145, s2 = 11599866, int(edited[s2]) = 0 s1 = 11578145, s2 = 11599866, d1 = 17, d2 = 11 Dl.O(d1) = 266365700,266542300,239134270,266619246,237804999,266542300 Dl.O(d2) = 240759581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578145, s2 = 11599866, dlinesl.size( ) = 18 s1 = 15214791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10642587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11579239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579239, s2 = 14005480, int(edited[s2]) = 0 s1 = 11579239, s2 = 14005480, d1 = 60, d2 = 110 Dl.O(d1) = 235522643,234537527 Dl.O(d2) = 256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,3530321,5676140,3924284,3924286,5689195,5689198,8738911,12850943,9936937,6531107,4092277,4092281,4084893,4084892,6519504,6531157,6531158,9936997,8635926,8635925,8719454,12710752,8636127,8636126,12710750,13350689,13350688,9412257,254454557,2311655,254149625,765911,1341116,2311648,1341112,765908,765909,1341113,2311651,3858614,6166684,9412234,13738653,13739629,18523568,13161492,254426840,12710540,8635914,6167786,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4913920,7758822,7000596,5729903,3567643,3567644,3734661,3734662,5625747,5625748,8649537,12702727,12702726,12908594,16684455,11646342,7759023,4914075,254550531,11646332,16684447,22918084,30318591,38905377,48827359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579239, s2 = 14005480, dlinesl.size( ) = 62 s1 = 12001107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11580245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580245, s2 = 14154600, int(edited[s2]) = 0 s1 = 11580245, s2 = 14154600, d1 = 0, d2 = 35 Dl.O(d1) = 236638775,237437628,238162776,274812733,239989451,239429353,266729537,237437628,238162776,238822867,239429355,239989453 Dl.O(d2) = 266954385,267044095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580245, s2 = 14154600, dlinesl.size( ) = 50 s1 = 12001709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11581605, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581605, s2 = 11433930, int(edited[s2]) = 0 s1 = 11581605, s2 = 11433930, d1 = 23, d2 = 24 Dl.O(d1) = 266358035,231711177 Dl.O(d2) = 273976558,261843749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581605, s2 = 11433930, dlinesl.size( ) = 30 s1 = 11622487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582597, s2 = 11616020, int(edited[s2]) = 0 s1 = 11582597, s2 = 11616020, d1 = 43, d2 = 35 Dl.O(d1) = 237097014,237856300,238546812,239179290,239759801,240295325 Dl.O(d2) = 267026665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582597, s2 = 11616020, dlinesl.size( ) = 44 s1 = 12002487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11584559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584559, s2 = 11559932, int(edited[s2]) = 0 s1 = 11584559, s2 = 11559932, d1 = 11, d2 = 22 Dl.O(d1) = 266509348,233791650 Dl.O(d2) = 231357132,229929548,228320678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584559, s2 = 11559932, dlinesl.size( ) = 20 s1 = 7766364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7766364, s2 = 8896039, int(edited[s2]) = 0 s1 = 7766364, s2 = 8896039, d1 = 39, d2 = 11 Dl.O(d1) = 274632239,266511809 Dl.O(d2) = 230491789,231863474,233098297,266370241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7766364, s2 = 8896039, dlinesl.size( ) = 38 s1 = 9052799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9052799, s2 = 10285691, int(edited[s2]) = 0 s1 = 9052799, s2 = 10285691, d1 = 14, d2 = 8 Dl.O(d1) = 228821464,230379895,266152611,266362045,266454432,235157041,236088669,236936367,237708547,274800763,238410204 Dl.O(d2) = 238410203,239050310,238410201,238410202,266871403,239050312,239050310,239050309,266871401,239050306,238410198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9052799, s2 = 10285691, dlinesl.size( ) = 2 s1 = 9052799, s2 = 10285691, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 9052799, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7751984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11589515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589515, s2 = 14142694, int(edited[s2]) = 0 s1 = 11589515, s2 = 14142694, d1 = 28, d2 = 1 Dl.O(d1) = 237669210,237669209 Dl.O(d2) = 228730395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589515, s2 = 14142694, dlinesl.size( ) = 48 s1 = 8946086, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15037067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11594777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594777, s2 = 15037068, int(edited[s2]) = 0 s1 = 11594777, s2 = 15037068, d1 = 1, d2 = 1 Dl.O(d1) = 137570805,150575408,162680433,173694380,263443889,199385536,205610214,210759167,214965000,218424463,221330641,223820260,225978472,227861284,229515232,230984382,232301006,233489646,234568714,235551245,236446191,237263156,238007241,238684240,239305043,239876269,240404122,240893832,240893831,240404119,240404120,240159199,239613324,239023226,238382108,237678695,236903933,236052360,235115958,234085539,232953943,231703689,230312223,228747672,226970836,265603683,222586667,219854743,216617247,212711389,207933415,202136008,195238235,263245959,262346745,143225176,129896202,115998432,101953997,87981054,74378641,61602049,269400875,40101430,256022653,17588890,12415368,12415367,12415452,255570585,256022665,40101659,50122317,40292634,31609575,31609576,40292636,50313486,61793470 Dl.O(d2) = 137570805,150575408,162680433,173694380,263443889,199385536,205610214,210759167,214965000,218424463,221330641,223820260,225978472,227861284,229515232,230984382,232301006,233489646,234568714,235551245,236446191,237263156,238007241,238684240,239305043,239876269,240404122,240893832,240893831,240404119,240404120,240159199,239613324,239023226,238382108,237678695,236903933,236052360,235115958,234085539,232953943,231703689,230312223,228747672,226970836,265603683,222586667,219854743,216617247,212711389,207933415,202136008,195238235,263245959,262346745,143225176,129896202,115998432,101953997,87981054,74378641,61602049,269400875,40101430,256022653,17588890,12415368,12415367,12415452,255570585,256022665,40101659,50122317,40292634,31609575,31609576,40292636,50313486,61793470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594777, s2 = 15037068, dlinesl.size( ) = 2 s1 = 11594777, s2 = 15037068, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11594777, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15037090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8927347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8927347, s2 = 8889395, int(edited[s2]) = 0 s1 = 8927347, s2 = 8889395, d1 = 0, d2 = 17 Dl.O(d1) = 227737128,227737129,265949007,232203444,233399033,234484743,266482553,237198760 Dl.O(d2) = 237949680,237949681,266834115,238633001,237949660,237198745,236374472,266491164,232203441,232203442,233399030,234484742,235472724,266564663,236374470,235472717,235472716,236374473,237198746,237949661,238633002,239258553,239833702,266939963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8927347, s2 = 8889395, dlinesl.size( ) = 16 s1 = 10711122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5954544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14256726, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8940555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8940555, s2 = 7196146, int(edited[s2]) = 0 s1 = 8940555, s2 = 7196146, d1 = 35, d2 = 20 Dl.O(d1) = 266849953,239421681,266903763 Dl.O(d2) = 263870583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8940555, s2 = 7196146, dlinesl.size( ) = 26 s1 = 14151584, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12006633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11605325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605325, s2 = 15941496, int(edited[s2]) = 0 s1 = 11605325, s2 = 15941496, d1 = 36, d2 = 4 Dl.O(d1) = 266871566,238411840,239051818,239051809 Dl.O(d2) = 98326062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605325, s2 = 15941496, dlinesl.size( ) = 30 s1 = 11605925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11605925, s2 = 10640762, int(edited[s2]) = 0 s1 = 11605925, s2 = 10640762, d1 = 28, d2 = 26 Dl.O(d1) = 274897719,242454151,267236809,243925402,244162607 Dl.O(d2) = 267336193,267461587,267501605,246146470,246243591,246168142,267504092,245729493,275022955,245962258,246068210,275040388,267563849,275048494,275043276,246263720,246168139,267504090,267504095,275037273,267546363,246517769,246593474,267563846,267536804,246168146,246068213,246068212,246168144,246146467,246045030,245937107,245822649,275013276,245286149,245128618,244960050,267357130,244589227,267395905,245286153,245433359,245571937,267449514,245463120,245600945,245729495,267491913,267515667,246263707,246168129,246068200,275026906,245849491,245962250,246068197,275037271,246353372,246437989,246517754,246593470,267579117,267579114,275048492,246437996,246353378,246263716,246168134,246068204,245962253,245962254,267515665,246263719,246353382,246437999,275048497,275050970,246517773,246438006,246438005,246517757,267579119,275059182,246664871,267579112,246593473,246517759,246437992,275040393,246068201,246068202,246168132,246263713,246353375,246437993,246517761,246438001,246353384,267526676,246068207,245962256,245849498,245729490,245600942,245463119,245316667,245316668,275014243,267491911,245729488,245600940,245463115,245316666,267399102,244817802,267380697,267416873,245463117,267464409,245849495,245962254,267515665,246263719,246353382,246437999,275048497,275050970,246517773,246438006,275037268,245962263,245849504,267464406,245463125,245316672,267399104,244817804,244630267,267317884,243166163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11605925, s2 = 10640762, dlinesl.size( ) = 24 s1 = 12010745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609841, s2 = 11605920, int(edited[s2]) = 0 s1 = 11609841, s2 = 11605920, d1 = 13, d2 = 0 Dl.O(d1) = 241536732,241099573,241099574 Dl.O(d2) = 240120306 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609841, s2 = 11605920, dlinesl.size( ) = 18 s1 = 15041102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15041102, s2 = 11595536, int(edited[s2]) = 0 s1 = 15041102, s2 = 11595536, d1 = 20, d2 = 16 Dl.O(d1) = 267137747,243051206,243348822,243627441,243886496,244127596,244150759,244150758 Dl.O(d2) = 244372979,244150757,244150756,244150762,243911942,243655358,267044498,242768938,266904962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15041102, s2 = 11595536, dlinesl.size( ) = 14 s1 = 11618331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618331, s2 = 5936862, int(edited[s2]) = 0 s1 = 11618331, s2 = 5936862, d1 = 30, d2 = 2 Dl.O(d1) = 243138633 Dl.O(d2) = 237955149,237204460,266393120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618331, s2 = 5936862, dlinesl.size( ) = 24 s1 = 11611157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11611157, s2 = 11588794, int(edited[s2]) = 0 s1 = 11611157, s2 = 11588794, d1 = 11, d2 = 0 Dl.O(d1) = 241792061,241373856,274890960,238724047 Dl.O(d2) = 235606921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11611157, s2 = 11588794, dlinesl.size( ) = 12 s1 = 11595165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11595165, s2 = 10453289, int(edited[s2]) = 0 s1 = 11595165, s2 = 10453289, d1 = 17, d2 = 12 Dl.O(d1) = 266996841,241815495,242199971,274907900 Dl.O(d2) = 266978174,240754685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11595165, s2 = 10453289, dlinesl.size( ) = 18 s1 = 8960116, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12012635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12012635, s2 = 14155202, int(edited[s2]) = 0 s1 = 12012635, s2 = 14155202, d1 = 31, d2 = 29 Dl.O(d1) = 242842387,243154235,243446602,243718729,243970438,244204303 Dl.O(d2) = 244204305,267317001,244204299,244204303,243970437,267293587,244421394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12012635, s2 = 14155202, dlinesl.size( ) = 36 s1 = 11593099, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13936355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489425, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11615271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11620029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11620029, s2 = 11607670, int(edited[s2]) = 0 s1 = 11620029, s2 = 11607670, d1 = 30, d2 = 0 Dl.O(d1) = 267255508,242941607 Dl.O(d2) = 241470764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11620029, s2 = 11607670, dlinesl.size( ) = 36 s1 = 7474194, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7474194, s2 = 11466304, int(edited[s2]) = 0 s1 = 7474194, s2 = 11466304, d1 = 21, d2 = 19 Dl.O(d1) = 267008441 Dl.O(d2) = 264819525,207952605,263980283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7474194, s2 = 11466304, dlinesl.size( ) = 20 s1 = 15954749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617697, s2 = 10434625, int(edited[s2]) = 0 s1 = 11617697, s2 = 10434625, d1 = 4, d2 = 0 Dl.O(d1) = 243004891,242684199 Dl.O(d2) = 241968641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617697, s2 = 10434625, dlinesl.size( ) = 12 s1 = 8952048, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8952048, s2 = 14345990, int(edited[s2]) = 0 s1 = 8952048, s2 = 14345990, d1 = 2, d2 = 0 Dl.O(d1) = 43412705,34311363,26433389,26433390,34311365,43412710,53939633,66010060,79378317,66010046,53939623,43412703,43412702,53939621,53939631,66010056,79378314,257666040,66010043,257082890,66010053,257666044,93514834,107951963,107951968,122378080,258897606,107951967,122378078,260136358,161925169,262354062,199014023,191593848,191593849,199014025,199014028,205288817,210482053,263635612,205288816,263982570,218217070,214725220,210482057,210482056,214725218,218217078,221150058,223660995,264571180,274250849,225836686,227734017,227734020,274423950,230877025,274606500,274606498,233397273,233397272,233397271,266029554,234483075,233397267,233397268,234483077,235471164,235471159,235471158,235471161,235471162,236372978,237197383,237948460,238631902,239257491,239832622,266813072,241311893,241733757,241733761,266869626,240856546,241311894,241733758,242123981,242485459,242822018,267057576,242485457,242822013,243134946,243134947,267133434,243701861,243954654,244189570,267228754,267228752,267228756,243954650,267256358,243701855,243428512,243428511,243701852,243428510,267097274,242485454,267015658,267015656,242123977,266921758,240856540,241311891,266921754,266921756,266921760,240856541,266869624,239832618,239257489,239257490,239832615,239257488,239257487,239257486,238631891,238631890,237948453,237197378,266451602,237197381,237197380,236372976,235471154,235471153,274674312,235471157,266328744,233786230,266328746,265992028,228313549,226479602,224374171,221950109,219127174,215783624,211740648,211740649,264494208,200804340,264208303,193747375,185480283,185480282,185480284,176007083,165313081,153519549,140840815,140766467,127410612,127410610,113608188,99592924,99592923,260581713,140840814,261707863,165313080,176007081,185480281,185480279,185480280,263137754,176007077,185480278,193747371,200836993,200836997,206820139,264751630,211764242,215804438,274096694,211764243,274191613 Dl.O(d2) = 215804443,211764245,211764244,274191615,224390069,226494031,228326591,229934678,231361721,232640255,231361718,231361719,232640256,233795561,233795560,233795562,232640257,232640258,232201418,232201416,230877018,230877019,230877021,265437038,227734016,227734015,265047006,223660993,225836685,274389511,221150047,221150049,221150050,218217068,274324529,214725221,210482060,205288823,199014032,262354064,182960694,191593860,199014034,199014039,199014022,199014021,205288813,199014033,199014031,191593864,182960696,182960695,191593861,199014036,205288826,210482064,263635618,205288830,210482072,214725229,214725228,214725235,214725230,214725231,218217085,219442542,264781923,212162493,216143995,218217088,218217089,219442543,216143999,212162496,212162497,216143988,212162486,207288561,201378172,201378171,201378174,201378173,201378168,201378167,207288556,201378169,264245453,194354684,186154744,176746313,166112704,154367819,262279153,176746310,263187981,166112703,154367810,154367811,262754533,262354070,114501689,114501690,272230071,128375591,128375592,260644091,100478439,86520465,86520466,100478441,114501699,128375586,114501692,100478435,86520462,72922557,72922558,270862731,260644089,114501712,128375549,114501660,100478416,100478417,100478437,86520463,72922559,60183474,60183473,48787025,48787024,60183460,60183459,60183457,60183456,60183478,72922568,86520474,260043985,100478400,271356263,128375514,260644084,86520476,86520475,72922576,257571253,38865163,30279762,30279761,38865161,48787027,48787029,257571255,258803309,100478467,271823011,100478453,100478452,114501710,260024009,260024011,128127977,128375525,114501645,259427343,72922541,72922540,259427341,114501642,128375521,114501701,260644095,261766659,128375603,114501702,114501703,128375605,141720583,154367830,272875999,263187985,166112634,262262284,114501640,100478404,86520435,86520434,100478402,114501638,272230067,141489133,141720497,141489151,128127986,128127987,141489152,262262287,262279157,141720579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8952048, s2 = 14345990, dlinesl.size( ) = 2 s1 = 8952048, s2 = 14345990, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8952048, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 15153268, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12015199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13938022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11621845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11621845, s2 = 11588194, int(edited[s2]) = 0 s1 = 11621845, s2 = 11588194, d1 = 11, d2 = 6 Dl.O(d1) = 266999058,242233116 Dl.O(d2) = 241437720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11621845, s2 = 11588194, dlinesl.size( ) = 12 s1 = 7496715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7496715, s2 = 11639920, int(edited[s2]) = 0 s1 = 7496715, s2 = 11639920, d1 = 45, d2 = 44 Dl.O(d1) = 267228161,243845548,244088165 Dl.O(d2) = 275069643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7496715, s2 = 11639920, dlinesl.size( ) = 30 s1 = 10587236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12015983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12015983, s2 = 11621388, int(edited[s2]) = 0 s1 = 12015983, s2 = 11621388, d1 = 8, d2 = 11 Dl.O(d1) = 267238900,267178938,242793910,243106987 Dl.O(d2) = 243673535,267264165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12015983, s2 = 11621388, dlinesl.size( ) = 12 s1 = 15047835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14257200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12017249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10375679, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14257266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14257266, s2 = 2630048, int(edited[s2]) = 0 s1 = 14257266, s2 = 2630048, d1 = 87, d2 = 109 Dl.O(d1) = 267200249 Dl.O(d2) = 226939584,226939585,226939588,224898975,222548883,219812388,265162490,274084858,202070625,263840054,273523348,167319046,262149014,129798619,115898367,101852212,259895262,74276721,61499898,50021680,40003311,256296444,23834784,21172709,254957760,13654127,16103947,11185984,11185985,16103951,12336092,8333720,5378684,3307420,3307421,5378687,8333726,8564323,8564325,12616838,17819932,20820923,20820922,27985790,28053881,28053879,34652335,26660756,26660754,34652332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14257266, s2 = 2630048, dlinesl.size( ) = 14 s1 = 14257271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6262616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11630687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630687, s2 = 11572498, int(edited[s2]) = 0 s1 = 11630687, s2 = 11572498, d1 = 4, d2 = 15 Dl.O(d1) = 274905406,243194751 Dl.O(d2) = 242200021,241815569,266811442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630687, s2 = 11572498, dlinesl.size( ) = 18 s1 = 11631099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12019113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10539590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14257330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14257330, s2 = 7791404, int(edited[s2]) = 0 s1 = 14257330, s2 = 7791404, d1 = 18, d2 = 19 Dl.O(d1) = 267085485,267189887,243513561 Dl.O(d2) = 274979860,243095885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14257330, s2 = 7791404, dlinesl.size( ) = 12 s1 = 7796564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7796564, s2 = 11625588, int(edited[s2]) = 0 s1 = 7796564, s2 = 11625588, d1 = 25, d2 = 19 Dl.O(d1) = 275040615,246075126 Dl.O(d2) = 267400486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7796564, s2 = 11625588, dlinesl.size( ) = 20 s1 = 11633155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633155, s2 = 14156520, int(edited[s2]) = 0 s1 = 11633155, s2 = 14156520, d1 = 6, d2 = 47 Dl.O(d1) = 245878844,245990035 Dl.O(d2) = 246723128,246655360,246583296,246506683,246426121 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633155, s2 = 14156520, dlinesl.size( ) = 30 s1 = 12018887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12018887, s2 = 6305352, int(edited[s2]) = 0 s1 = 12018887, s2 = 6305352, d1 = 0, d2 = 21 Dl.O(d1) = 245516747 Dl.O(d2) = 245651575,245776976,245894776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12018887, s2 = 6305352, dlinesl.size( ) = 16 s1 = 11633539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633539, s2 = 11528574, int(edited[s2]) = 0 s1 = 11633539, s2 = 11528574, d1 = 48, d2 = 17 Dl.O(d1) = 267524509,267527146,267525076,267502204,245833559,245833560,245947147,245947141,245833558,245712986,245712985,267490431,246054037,267525367,246251097,246154716,267525369,246341524,246251098,246251099 Dl.O(d2) = 266706868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633539, s2 = 11528574, dlinesl.size( ) = 30 s1 = 14156040, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11626803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626803, s2 = 9318757, int(edited[s2]) = 0 s1 = 11626803, s2 = 9318757, d1 = 20, d2 = 19 Dl.O(d1) = 275005049,245360688,267558059 Dl.O(d2) = 245504601,245360688,245207522,245043969,245043970,245001481,267346378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626803, s2 = 9318757, dlinesl.size( ) = 14 s1 = 11634591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11634591, s2 = 11630568, int(edited[s2]) = 0 s1 = 11634591, s2 = 11630568, d1 = 9, d2 = 6 Dl.O(d1) = 267515468,245370070 Dl.O(d2) = 267405787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11634591, s2 = 11630568, dlinesl.size( ) = 6 s1 = 12020601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637013, s2 = 11629690, int(edited[s2]) = 0 s1 = 11637013, s2 = 11629690, d1 = 23, d2 = 3 Dl.O(d1) = 246399453,246312711 Dl.O(d2) = 245538633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637013, s2 = 11629690, dlinesl.size( ) = 24 s1 = 12021393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7535668, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12337646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12337646, s2 = 11619118, int(edited[s2]) = 0 s1 = 12337646, s2 = 11619118, d1 = 11, d2 = 70 Dl.O(d1) = 246357205 Dl.O(d2) = 245050644,244876736,244692407,244494890,244283385,267302948,243810349,267325735,244692409,267387264,244494893,267325732,243810350,243546401,243546400,243810349,244055569,244283388,274983567,244876738,267405385,244876736,274995701,244876738,267387262,244494889,244283384,244055568,274961652,274953456,267223915,243262102,243546396,267278143,244055571,243810351,243546401,243262106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12337646, s2 = 11619118, dlinesl.size( ) = 2 s1 = 12337646, s2 = 11619118, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12337646, Dl.E( ) = 78, 1.91e-05 seconds used appending s1 = 14257464, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12337872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15048934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12338086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015750, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14156961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643687, s2 = 10526531, int(edited[s2]) = 0 s1 = 11643687, s2 = 10526531, d1 = 1, d2 = 1 Dl.O(d1) = 267669716,247334827,247334825,267644172,247241956,267632922,247088695,247088696,247131901,247171119,247207445,247241959,247275101,247241962,247207448,247171120,247171119,247207446,247241961,247275106,247306240,267650795,247334832,247306235 Dl.O(d2) = 267669716,247334827,247334825,267644172,247241956,267632922,247088695,247088696,247131901,247171119,247207445,247241959,247275101,247241962,247207448,247171120,247171119,247207446,247241961,247275106,247306240,267650795,247334832,247306235 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643687, s2 = 10526531, dlinesl.size( ) = 2 s1 = 11643687, s2 = 10526531, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11643687, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15855781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12023833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12023833, s2 = 11645370, int(edited[s2]) = 0 s1 = 12023833, s2 = 11645370, d1 = 8, d2 = 10 Dl.O(d1) = 247899467,247895926,247891672,247891673,267707791,247895922,247891670,247886642,247881096,247881089,247874796,247867938,247867937,247874795,247881087,247886632,247886631 Dl.O(d2) = 247891666,267705956,247886644,267705954,267706591,275094806,247891667,247891668,247895921,247899467,247895926,247891672,247891673,267707791,247895922,247891670,247886642,247881096,247881089,247874796,247867938,247867937,247874795,247881087,247886637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12023833, s2 = 11645370, dlinesl.size( ) = 2 s1 = 12023833, s2 = 11645370, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12023833, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11645369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10978448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10978448, s2 = 13802368, int(edited[s2]) = 0 s1 = 10978448, s2 = 13802368, d1 = 79, d2 = 75 Dl.O(d1) = 48320377,254168914,16301054,11386350,7564655 Dl.O(d2) = 262207926,206369678,262688340,215472170,262207926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981867, s2 = 11646278, int(edited[s2]) = 0 s1 = 10981867, s2 = 11646278, d1 = 0, d2 = 5 Dl.O(d1) = 935424 Dl.O(d2) = 254237147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981867, s2 = 11646278, dlinesl.size( ) = 2 s1 = 10981867, s2 = 11646278, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10981867, Dl.E( ) = 12, 1.81e-05 seconds used appending s1 = 15217115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10418477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646757, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14158174, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15050618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3968386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3968386, s2 = 13411354, int(edited[s2]) = 0 s1 = 3968386, s2 = 13411354, d1 = 33, d2 = 39 Dl.O(d1) = 143363315,259713038,102062815 Dl.O(d2) = 41403314,41403315,254904200,40732192,32519947,32519948,30201531,30201532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3968386, s2 = 13411354, dlinesl.size( ) = 12 s1 = 11648907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648907, s2 = 13988928, int(edited[s2]) = 0 s1 = 11648907, s2 = 13988928, d1 = 9, d2 = 15 Dl.O(d1) = 261209099,262745199,263570843,201299184,200086750,192873897,262921540 Dl.O(d2) = 164043751,152165538,152165537,262633535,263478903,200086743,273872699,194268575,186060660,263570843,201299184,200086750,192873897,184473589,184473588,184473576,174861716,164043741,152165529,139440765,261628355,164043743,174861721,184473579,189573888,184473583,262461162,164043745,273523315,263337028,174861722,273523315,263337028,184473581,263839891,203824302,206173864,263711048,264164083,211203521,215319865,211203520,264623188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648907, s2 = 13988928, dlinesl.size( ) = 8 s1 = 14257876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14974995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15230865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10873778, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11651973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651973, s2 = 10387847, int(edited[s2]) = 0 s1 = 11651973, s2 = 10387847, d1 = 6, d2 = 10 Dl.O(d1) = 265089702,213054471 Dl.O(d2) = 265619299,265452013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651973, s2 = 10387847, dlinesl.size( ) = 16 s1 = 8749740, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14160294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160395, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13923373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12846132, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15217767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15217767, s2 = 10197334, int(edited[s2]) = 0 s1 = 15217767, s2 = 10197334, d1 = 7, d2 = 4 Dl.O(d1) = 52654143,42268262,33288132,25527732,25527731,33288129,42268255,52654131,48522237,41981885,41981884,48522077,59915412,72655864,64174658,52654018,42268184,33288089,33288088,42268177,52653994,53718101,43205730,43205727,53718097,60634546,64174204,64174205,61326000,61326001,71975718,59238155,47841140,37920535,37920536,47841147,50565705,50565706,60634443,49233494,39306695,30708833,23292362,17032517,17032518,23292368,30708840,39306709,49233515,49842600,43205784,34118547,26253817,19535740,19535739,26253813,34118537,43205768,50566153,43303224,34204964,34204963,43303231,42209234,42209235,36750560,36750559,29192022,21880192,21880191,29192021,37753392,33666279,29191850,21880049,21880051,21886355,15809974,15809973,21881612,21881611,254344052,47659865,37738089,29177296,21866784,21866785,29177297,254344240,11637085,11637086,8995162,8995161,13194977,18568330,25119659,18568386,18568384,25119747,32823948,41744874,44532089,44532088,267969594,28286182,21080190,15141993,15141992,21080189,28286181,36782988,30253716,22858636,22858635,30253714,36765366,39186682,38294396,30261345,22865397,16638030,15155945,15155946,21099554,21067067,15132615,15132614,21067065,28269602,36764711,268394312,256903484,98184644,101087969,109438853,100916509,86934817,73324841,73324840,73324835,73324834,86934805,100916489,258216094,87091322,87091321,101087963,115164645,257608552,100916524,257027872,73324852,60581040,58112316,46742483,36861012,36861013,46742485,58112321,70827287,84384799,98293557,112275088,114970124,100916507,100916506,98293546,98293547,100916481,100916480,86934836,73324861,60581047,49181377,39255721,30659821,23240722,16971633,11883949,11883948,254103828,16733505,11690779,7796922,4944259,2983960,2983959,4944254,7796914,11690765,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,3082964,1799152,1799151,3082955,3147230,3147234,5164522,3147125,1840955,1840957,3147133,5164527,8070445,11890220,254567576,3063123,5056097,7949997,7935826,5046349,4737245,2855082,1656937,1656934,2855067,4737212,7494005,7783517,8070586,5164621,5164624,5388259,3313329,1949209,1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,7470509,7963458,5066060,3070182,1790097,1790096,3070181,254563421,11906004,16991336,23254255,30669751,39265582,49191686,48206342,48206341,59592882,72327575,73060907,60319687,48921023,39265585,39265586,49191693,60592001,73336365,72327586,60592010,60592011,73336375,72327581,59592887,59592885,72327579,73336370,73336369,86947112,99876496,86947106,73514352,60765115,49361818,39432270,39432271,47968879,47968880,49361823,39432276,39432277,47968839,47968838,38997203,38055657,38055659,47968845,59359876,59359875,49361796,49361795,39432265,255983013,23400363,30828107,38055669,38055670,47968859,47968864,47968866,49361745,39432198,30828034,23400279,23400278,30828032,39432194,49361742,47968891,47968892,59359915,59359902,258117141,47968873,38055673,38055671,47968867,49361802,257611173,59359886,59359880,59359879,72093467,59359877,258117135,49361798,39432246,39432245,47968883,38055681,38055675,38055674,47968875,59359895,49361788,49361789,39432261,39432260,38055678,38055679,47968878,59359885,59359908,60765003,49361792,39432243,30828091,23400350,23400349,23400261,17128167,12037316,8092574,8092575,12037320,17128172,255983005,30828089,30828113,30828080,30828081,23400362,17128237,12037360,8092595,5184739,3163171,1851677,1851676,3163167,5184736,8092589,12037346,17128217,16032779,16032778,22152755,22152754,29491665,29491667,30827980,30828050,23400300,17128192,17128193,12037354,12037353,17128226,23400344,30827987,30828069,30564431,268975340,17128176,270004346,39432208,30828040,268245603,12037330,8092580,5184731,3163164,1851674,1851675,3163166,5184734,8092583,8092602,12037375,17128262,16032769,11132322,11132321,16032766,17128249,12037369,12037370,17128251,23400296,23400317,17128204,17128205,23400321,29491674,23400311,17128223,12037349,12037348,17128220,23400250,255148729,8092571,8092570,12037310,17128163,12037326,8092578,8092577,12037323,8092582,8092581,255148731,23400289,268428025,17128198,17128199,23400308,23400275,23400274,29491669,29491668,23400326,17128207,12037340,8092586,8092587,12037343,17128210,23400331,23400390,23400391,30828137,39432184,38055653,30827971,23400237,17128156,17128157,12037382,8092605,8092604,12037380,17128271,255535035,17128175,23400230,255535037,17128195,23400302,30828012,256484969,30827967,257030345,30828020,23400272,23400273,30827984,30827982,39432151,256484997,30828150,39432322,49361751,49361714,39432301,39432302,49361857,60765160,73514379,87133191,95119005,95119006,109372650,123563715,115209244,101131359,271372617,129140882,125745896,115209269,101131390,101131391,115209266,101131387,259676162,87133188,73514385,60765168,60765167,258841699,101131382,260681519,115209254,115209253,103124654,103124653,117240910,123563718,109372654,109372655,97987117,259049388,87133196,75324708,62425005,62425004,75324712,75324713,75324739,62425000,50841243,50841244,62425002,75324744,258936927,269912973,75324760,75324759,89053749,103124659,103124632,89053716,75324719,62424972,62424973,50841227,40735284,40735285,50841228,40735298,40735296,50841241,62424997,62425018,57875641,46520224,46520226,40735308,31986541,24431591,24431590,31986537,40735302,40735282,31986527,31986526,257117197,57875608,46520177,36653155,36653153,46520175,50841270,40735324,31986549,31986548,40735322,40735330,46520152,57875587,50841280,40735339,31986563,24431601,18018333,18018334,24431603,31986568,40735346,50841293,50841267,40735317,31986545,24431593,24431594,31986547,257117203,62425021,70576340,57875623,46520197,40735288,40735287,50841230,258640578,57875609,256288286,36653208,46520236,257405884,84112411,84112407,70576291,57875551,46520213,36653193,28177453,20995869,15081497,255800407,15081518,10402517,10402516,15081508,15081510,20995887,28177485,36653218,46520241,46520203,46520089,268603163,28177382,256826557,36653213,36653212,36653235,46520256,57875563,46520108,36653097,36653096,46520105,46520121,46520085,36653102,28177391,28177390,36653101,46520111,46520116,36653104,28177393,28177394,36653108,36694583,28204278,21012187,21012186,28204276,36694582,46580877,36694559,28204257,28204242,21012159,15091312,10408438,10408440,15091318,21012169,28204251,36694544,36694543,255800414,43470103,43470104,41763548,32843675,25141505,25141506,18586526,18586527,25141512,255800418,48611281,52294499,48611279,48611277,48611305,38695670,30119061,30119056,22737221,22737220,30119049,30118988,22737180,16530294,11520647,11520648,16530296,22737189,30118991,38695555,256812856,38695682,30119074,30119072,22737264,16530354,11520685,11520687,16530358,22737272,26400250,26400249,34275223,43374094,43374088,43374087,38695822,30119188,22737309,16530379,16530342,11520680,7663528,4848653,2921692,2921691,4848651,7663523,11520667,16530324,22737218,30119046,22737230,22737231,30119068,38695664,38695665,38695775,47747900,38695552,255933401,22737186,16530345,16530346,22737246,30119092,38695702,48611333,48611289,48609342,48609344,38695808,30119181,22737301,22737299,26400258,19666265,14097106,14097105,19666260,268527117,30119084,30119083,22737311,16530382,11520704,7663540,4848657,2921695,254362721,7663536,11520696,16530332,11520675,7663526,7663525,11520670,16530326,22737226,22737253,30119098,30119160,30119161,38695778,48611150,38695534,30118980,30118979,38695531,48611149,48611431,48611430,48611141,38695523,38695524,38693757,38693756,30119077,30119076,30119138,38695752,34275217,26400245,19666253,19666252,26400241,30118969,22737169,22737170,22737240,26400225,26400226,30118958,22737160,22737159,30118955,38695498,48611113,268794805,26400204,19666227,14097091,9695700,6376780,6376781,9695703,14097093,19666231,22737291,16530369,16530370,22737292,30119168,38695544,30118984,30118983,38695538,48611156,43374070,43374071,53897913,48611138,38695519,38695518,30119148,22737282,22737281,30119143,26400260,26400261,30119191,26400236,19666249,14097100,9695708,9695706,14097096,19666239,19666214,19666213,26400188,34275155,34275161,43373997,53897844,53897892,43374050,34275191,34275190,43374047,53897888,48611393,38695768,30119153,30119152,38695766,48611386,48611825,38696239,38695747,30119132,30119130,30118952,30118953,38695494,48611110,60002407,72739085,64836232,52911251,52911253,64836234,65964189 Dl.O(d2) = 65964221,60003013,60003014,60000394,60000393,72737320,72739195,60002621,48611379,38695761,38695762,48611383,60002625,72739200,72739073,60002399,60002398,72739068,86336240,77548492,64380381,52506780,43905503,34632903,34632902,33503094,33503095,42501705,52506783,42148945,42148946,38696257,30119626,22737718,16530726,16530727,22737722,30119634,38696267,48611866,60003052,72739545,86336606,269824751,60003046,258480675,86334759,86334760,94385335,93458176,93458177,259134404,86334726,86334727,100296810,259134400,86334735,72737287,72737288,86334738,86334766,86336597,72739531,60003026,48611841,38696250,38696233,30119612,22737713,22737714,30119614,26642363,26642364,34632914,43905517,54647782,66904283,64836228,64836229,60003041,258165411,60003043,72737316,60000392,48608994,48608995,48608973,38693457,38693458,48608976,60000362,72737286,67719287,67719289,81184257,85451313,79327550,79327551,93458174,94385338,80331029,66904259,54647759,43905493,43905492,54647757,48609005,38693471,38693472,48609010,59127959,59127960,71866362,72737271,86334719,80331040,66904273,66904275,80331043,94385351,80331047,80331046,94385353,108671928,100296826,100296827,86336614,86334771,72737335,60000410,60000409,48609039,38693490,30117225,22735840,16529370,16529369,22735835,30117222,38693486,48609030,60000429,72737351,60000434,48609034,48609033,60000433,258788863,60000374,60000375,72737302,258165415,258165417,72737345,86334775,100296831,100298381,86560886,86560885,86333142,72737354,72737355,86334779,86333184,72735607,59998588,48607170,48607171,59998591,64405305,72737340,72737341,258086088,60000383,48608987,48608989,48611971,38696344,38696346,38696343,30119690,30119658,22737747,22737749,30119663,38696307,268646789,22734726,22734727,30115682,256976033,48611791,38696211,30119598,30119597,38696183,38696184,48611764,48611785,60002972,60003163,60003162,72737977,60001078,60001077,59998452,48607031,38691601,30115694,22734736,22734737,30115698,38691602,38691584,30115669,30115670,38691581,30119750,22737810,16530786,16530787,22737812,30119753,30119696,22737764,16530750,11521023,7663764,4848806,2921780,1694806,1694807,2921785,4848813,7663780,11521055,16530795,22737670,16530703,11520996,7663748,7663749,11520999,16530711,22737686,30119561,30119563,30119524,30119525,38694179,30117907,22736437,22736436,30117902,30119735,26639059,26639057,30119576,30115692,22734733,22734732,30115675,30119678,30119679,38691572,30115661,30115660,38691566,48607012,38696137,38696138,48609325,48609326,38696386,30119733,22737794,16530770,11521041,7663774,7663769,7663768,11521030,11521050,16530783,22737804,30119676,38696159,38696158,48609757,48609756,60001083,58210425,46842325,38696418,38694156,30117888,255861044,22736440,16529836,16529837,22736441,30117911,30117915,30117662,22736208,22736209,30117663,255491425,16530717,22737698,30119588,38696199,48611777,48609323,38693746,30117439,30117441,38693748,38696378,30119731,30119732,38696381,48612011,60002940,48611731,38696145,30119542,22737674,16530705,16530706,22737680,30119551,38696164,48611750,48609741,38694165,30117898,22736433,16529832,11520389,7663380,4848562,4848563,7663386,11520393,16529842,22736453,22736445,22736446,26639049,34628832,256975610,63745873,58913120,58913121,61585461,60000726,48609366,48609365,48609336,38693752,38693751,48609330,48608803,38693307,30117036,30117035,38693303,48608798,60000223,48609360,38693779,38693778,48609354,38696150,30119547,268646905,43901257,34628842,26639063,19827159,14203179,14203178,19827134,16529823,11520383,11520382,268092247,11520006,16529293,16529840,22735933,19827146,19827147,19827184,19827185,18504205,18504204,25037995,24574227,19827135,19827138,26639038,30117523,22736052,16529539,16529541,22736058,22736010,16529496,16529498,22736014,30117479,37625159,37625162,38693796,30117488,22736018,16529504,11520154,7663239,7663240,11520159,15716895,15716892,21776218,29074196,26639016,19827113,19827112,14203165,9763835,6419645,6419644,9763830,267826854,254340906,16528274,11520115,7663220,4848473,4848472,7663216,11520110,16529435,22735928,30115034,29074204,21776224,15716902,10880008,7193137,4531546,2723954,2723955,4531549,7193141,10880015,15716912,21776212,29074191,37625164,30006693,30006692,38577603,34307958,34307959,35731969,45289635,54692271,256826572,41767267,32846752,25140727,25140728,32846757,41767273,52080826,256628543,33003587,25278843,25278844,33003591,41945389,40473912,31779268,31779269,40473914,50509220,62000622,52286031,41945484,33003663,33003662,257772319,258016220,258016222,57852987,46497093,36630346,36630347,41687597,46397192,256277051,14993863,14993862,20898081,28069358,36536255,46397188,257178499,41899362,49373429,39445040,30840721,30840722,39445042,49373433,60775021,258620497,73523338,60775022,60775023,58784911,47396886,37488451,28945875,21666675,15630741,15630740,21666673,28945873,37488448,47396880,58784904,71514953,81048035,81048036,81048040,81048039,81036392,81036391,81036390,87142191,76089599,63088719,51396574,51396573,51396583,41203688,41203689,51396581,256819710,76089602,89890963,84041792,70506592,57805392,57805390,61327907,49844909,39821465,31138915,23651464,23651463,31138913,39821462,49844906,57805397,70506600,70506599,57805396,57805395,57805402,70506601,70506605,70506604,84041800,97912569,111846852,100888509,86908442,73298436,60555472,49156190,39229896,30631942,23208759,16937385,16937383,23208755,30631936,39229886,49156176,257156101,32545834,32545835,32545840,24896918,24896917,32545838,41403633,268407580,23825480,17488312,12330623,8329808,5376066,5376065,8329806,12330621,268092822,16090094,11175143,7414319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15217767, s2 = 10197334, dlinesl.size( ) = 2 s1 = 15217767, s2 = 10197334, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15217767, Dl.E( ) = 8, 1.41e-05 seconds used appending s1 = 15271925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654677, s2 = 14985016, int(edited[s2]) = 0 s1 = 11654677, s2 = 14985016, d1 = 1, d2 = 2 Dl.O(d1) = 270447175,257528788,30616668,30616666,39213382,39213286,30616592,23195876,16928009,255968395,39213282,49140085 Dl.O(d2) = 258202477,259449771,114923891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654677, s2 = 14985016, dlinesl.size( ) = 2 s1 = 11654677, s2 = 14985016, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11654677, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 16308890, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16308890, s2 = 11048930, int(edited[s2]) = 0 s1 = 16308890, s2 = 11048930, d1 = 16, d2 = 14 Dl.O(d1) = 260321326,259705258,124719296,138211822 Dl.O(d2) = 124719292,110742846,96659128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16308890, s2 = 11048930, dlinesl.size( ) = 2 s1 = 16308890, s2 = 11048930, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16308890, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 11615043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14258344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655335, s2 = 14370613, int(edited[s2]) = 0 s1 = 11655335, s2 = 14370613, d1 = 8, d2 = 21 Dl.O(d1) = 240899770 Dl.O(d2) = 54617401,66875233,66875256,54617420,54617421,66875248,66875247,66875240,54617406,54617405,66875238,80304834,66875240,54617406,43875013,43875014,54617408,66875244,66875241,66875242,66875249,80304834,66875240,66875239,80304835,94361518,108649598,108649597,108649599,108649598,94361517,80304831,66875229,66875228,80304828,94361513,259005484,108649600,122914784,136746991,262067289,173202852,263787625,205330683,210515954,274166443,221169006,265504869,265814167,229410230,230887328,232210996,233405983 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14258380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11387361, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14258500, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11656471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11194589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194589, s2 = 11657072, int(edited[s2]) = 0 s1 = 11194589, s2 = 11657072, d1 = 8, d2 = 2 Dl.O(d1) = 257748179,256607203,18430465,13091358,13091359,18430468,24944559,32608566,41487670,51758002,51757963,51757962,257741731,32609056,32609057,41487599,32609671,24945342,18430986,18430985,24945291,24945290,32609589,41488943,51758632,51758628,51759106,41488706,32609360,24945112,24945111,268726263,258362339,71073417,63282629,63282630,258362375,63538098 Dl.O(d2) = 51758367,258362247,51564265,41342219,32494796,32494795,256093975,18430482,13091576,255236425,24944493,256088561,13032955,257154243,61402059,49922319,39902698,39902697,257058645,49922318,61402057,49922317,49922316,41710533,41710532,52021264,258817562,61835110,52357962,42018795,33074696,25344591,19825043,14201161,9762236,9762238,14201167,19825055,17852919,12643128,12643127,14201117,19519596,26236487,19519599,19519601,19625210,19625211,14201122,14201123,19824984,26636974,34626835,43899099,43185039,43185038,43899186,34626913,255728161,19825034,256199892,33739533,256551552,257656660,42100914,40473070,31778454,24265921,17887261,17887260,24265919,31778452,38640822,30066073,256971689,34608707,26620318,26620319,34608708,43879512,54621809,61999837,59947854,48555803,38641025,30066245,30066244,34608672,26620299,26620298,28273126,36768239,268610802,34608751,34608752,34608791,43879599,48555729,38640938,30066174,22687714,22687715,30066177,38640943,33146932,25406599,25406600,30066146,22687693,22687664,16487697,16487696,22687661,30066093,38640845,38641031,46652763,48555794,38641018,30066241,256428503,30066085,26620386,19810615,14190228,14190227,19810612,26620381,34608801,269008460,46652697,36768050,36768049,34608743,28272977,28272978,28272990,28272989,36768029,38640853,43879558,43879559,46652690,53852699,46652592,36767939,28272932,28272931,31771979,24259818,255268730,21070030,15134849,15134850,21070037,28273119,36768223,46652901,58025077,61994869,58024998,58024997,58024872,58024860,46652625,36767979,36767978,28273045,28273046,255028940,21070001,21069999,28273050,36768112,46652774,46902953,37025329,37025327,37025174,37025172,46902838,47993404,47993405,58024952,58024953,58881280,57987030,46610747,46610746,41987430,41987429,47502002,46652930,38081513,38081515,47994003,59383627,59385586,71601220,269309802,257474735,38084192,29519532,22177052,22177048,29519518,38084181,47501982,37598045,29050089,29050091,37598054,41987446,52327845,50349784,40323350,31634426,255077536,37598154,47502019,37598077,31216757,23732274,23732275,254766980,49914191,59384898,72116787,85166359,71601216,58881281,47501961,37598026,29050079,21756075,15701705,10869585,10869586,255424987,29050087,37598040,256386846,47993997,47995781,47995780,47502119,47501981,47501979,47996460,38084253,38084252,47996457,59385599,71601228,58881316,47995638,47995637,52043609,41728896,32808594,25106394,25106393,32808590,26266711,26266712,26266703,26266702,34133171,37952124,40201960,255414588,24014623,25843314,28960654,256345801,34133208,255711963,13996438,9615390,6315789,6315790,9615392,12224038,12224037,10822535,268297358,891987,503348,503349,891989,1568552,2706705,4504134,7152383,10822582,15639549,21678809,28960661,28960660,37503491,255852987,21678660,28960449,257260917,26266716,26266717,34133199,268637088,37345927,37345928,47255348,58647535,58798015,47411133,255907376,39980817,39980816,49997481,256403830,61349353,269527832,61758782,61758783,71527032,61758741,50278960,40257928,40257927,50278959,268437216,23687475,31176395,39859106,49882262,48221922,47993505,47993506 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657071, s2 = 11194590, int(edited[s2]) = 0 s1 = 11657071, s2 = 11194590, d1 = 9, d2 = 9 Dl.O(d1) = 38289894,29723102,22366667,22366666,268637089,48199262,43220741,43220740,257260916,43220872,34133007,255852986,53732813,65788661,65788662,53732716,43220732,34132866,26266313,26266311,34132861,29034357,21742800,15692083,13996227,13996228,268297359,9200830,6023954,6023955,9200832,13454181,13996184,19545960,26266317,255711962,53732730,256345800,28879398,21603848,15575852,255414589,11388493,7565991,7565992,11388490,7565988,7565987,11144312,11144314,16049930,22174621,29516339,38080867,29516387,29516386,38080895,38080852,29516324,22174608,22174607,29516319,29519614,28527140,21305144,21305146,28527143,22177362,22177363,29516953,256386847,37025159,28527171,255424986,29519133,29519132,38083769,46902834,46902831,46902830,46902829,47996639,47993435,38080879,29516358,22174635,16049939,254766981,7391835,11144319,16049945,22174640,16050307,11144560,255077537,22175127,29516326,22174611,16049924,11144311,7392024,7392023,11144566,15335940,21305148,28527147,22175137,22175138,28527114,37025126,38080876,257474734,269309803,47993437,38080887,38080886,38080822,29516286,28527173,22174576,16049898,11144292,11144293,10592102,10592103,15335952,21305173,21305215,28527233,22175133,16050311,16050312,22175134,29516965,38080811,29516273,28527350,21305296,15336018,10592129,6987400,6987401,255028941,21305302,28525645,31748264,25282897,25282896,31748256,31748255,40442864,40442865,50479410,46902870,42313099,33332803,25573167,18964193,13528596,9259257,9259253,255268731,25573132,28849545,28525547,28525548,37023473,42313072,42313071,42313070,46901341,46901340,37025314,28527333,21305281,21305282,24237238,28525585,37023513,37023559,37023560,40466657,269008461,37023563,37023567,40466865,50502940,46901282,37023449,37023448,44619263,256428502,31772022,24259841,24259840,28527359,28527358,23915870,23915871,31406796,27141243,27141244,35237024,35237045,33146715,25406437,25406436,33146710,31772019,24259839,24259838,31772016,31771996,24259827,17882306,17882308,24259830,31772003,37023538,268610803,21305271,15336004,15336005,21305273,28527316,37025302,31772025,31772024,40466917,37389483,37389482,47298696,58689482,52453326,52453327,64320502,66899795,256971688,34627006,40467380,31772527,24260276,17882648,17882649,24260278,31772529,40467382,42100683,257656661,256551553,26622061,256199893,34610805,255728160,40466935,31772045,24259877,24259878,31772048,40466936,36516682,28052183,20883334,20883333,28052180,26622055,20883363,14980802,10312882,6783529,4252424,2542215,2542216,4252430,6783533,10312890,14980819,20883374,19811669,14190949,14190948,19811667,26621825,34610609,43881739,258817563,60436498,49032465,49032452,49032451,60436484,73183528,60436655,257058644,49032657,49032658,60436656,73183660,257154242,76617465,256088560,76617582,255236424,51758934,41488572,256093974,76617488,90475957,104639739,104639740,258362246,98540221,256607240,71051723,257741722,63537683,76617466,90475920,104639738,257748178,112350261,258362374,98540253,84615820,84615821,258362338,268726262 Dl.O(d2) = 38289894,29723102,22366667,22366666,268637089,48199262,43220741,43220740,257260916,43220872,34133007,255852986,53732813,65788661,65788662,53732716,43220732,34132866,26266313,26266311,34132861,29034357,21742800,15692083,13996227,13996228,268297359,9200830,6023954,6023955,9200832,13454181,13996184,19545960,26266317,255711962,53732730,256345800,28879398,21603848,15575852,255414589,11388493,7565991,7565992,11388490,7565988,7565987,11144312,11144314,16049930,22174621,29516339,38080867,29516387,29516386,38080895,38080852,29516324,22174608,22174607,29516319,29519614,28527140,21305144,21305146,28527143,22177362,22177363,29516953,256386847,37025159,28527171,255424986,29519133,29519132,38083769,46902834,46902831,46902830,46902829,47996639,47993435,38080879,29516358,22174635,16049939,254766981,7391835,11144319,16049945,22174640,16050307,11144560,255077537,22175127,29516326,22174611,16049924,11144311,7392024,7392023,11144566,15335940,21305148,28527147,22175137,22175138,28527114,37025126,38080876,257474734,269309803,47993437,38080887,38080886,38080822,29516286,28527173,22174576,16049898,11144292,11144293,10592102,10592103,15335952,21305173,21305215,28527233,22175133,16050311,16050312,22175134,29516965,38080811,29516273,28527350,21305296,15336018,10592129,6987400,6987401,255028941,21305302,28525645,31748264,25282897,25282896,31748256,31748255,40442864,40442865,50479410,46902870,42313099,33332803,25573167,18964193,13528596,9259257,9259253,255268731,25573132,28849545,28525547,28525548,37023473,42313072,42313071,42313070,46901341,46901340,37025314,28527333,21305281,21305282,24237238,28525585,37023513,37023559,37023560,40466657,269008461,37023563,37023567,40466865,50502940,46901282,37023449,37023448,44619263,256428502,31772022,24259841,24259840,28527359,28527358,23915870,23915871,31406796,27141243,27141244,35237024,35237045,33146715,25406437,25406436,33146710,31772019,24259839,24259838,31772016,31771996,24259827,17882306,17882308,24259830,31772003,37023538,268610803,21305271,15336004,15336005,21305273,28527316,37025302,31772025,31772024,40466917,37389483,37389482,47298696,58689482,52453326,52453327,64320502,66899795,256971688,34627006,40467380,31772527,24260276,17882648,17882649,24260278,31772529,40467382,42100683,257656661,256551553,26622061,256199893,34610805,255728160,40466935,31772045,24259877,24259878,31772048,40466936,36516682,28052183,20883334,20883333,28052180,26622055,20883363,14980802,10312882,6783529,4252424,2542215,2542216,4252430,6783533,10312890,14980819,20883374,19811669,14190949,14190948,19811667,26621825,34610609,43881739,258817563,60436498,49032465,49032452,49032451,60436484,73183528,60436655,257058644,49032657,49032658,60436656,73183660,257154242,76617465,256088560,76617582,255236424,51758934,41488572,256093974,76617488,90475957,104639739,104639740,258362246,98540221,256607240,71051723,257741722,63537683,76617466,90475920,104639738,257748178,112350261,258362374,98540253,84615820,84615821,258362338,268726262 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657071, s2 = 11194590, dlinesl.size( ) = 2 s1 = 11657071, s2 = 11194590, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11657071, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11195467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577325, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14089479, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11658807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11658807, s2 = 14029574, int(edited[s2]) = 0 s1 = 11658807, s2 = 14029574, d1 = 43, d2 = 45 Dl.O(d1) = 127231592,140577524,153259634,261865758,159503070,147141526,133917087,120073854,120073855,133917089,137575404,123888063,109742833,95533437,81498158,68014896,68014895,81498157,68014898,55627874,44729818,44729817,53517696,53517695,65541638,78876693,92988167,107398440,107398441,121782938,259799924,137287824,132484612,118650013,104470375,90322689,76493698,63446548,51697018,41447356,32581164,24924377,18415346,13080350,13080349,18415344,24924375,23032129,23032128,30438887,39028319,39242013,49167792,49167920,39242171,39242170,49167918,51059255,40918627,38429112,29867563,22507709,16334018,11364483,7550267,7550268,11364485,16334020,22507717,29867576,38429131,44524712,35148100,35148101,44524714,55370916,47791747,37867192,37867193,40196387,40196389,37999404,29436645,29436647,32969231,25246966,25246964,28978403,37522348,47429978,37522383,37522166,32141528,32141527,254329092,17173245,12074781,8119563,8119562,12074780,17173243,23449506,30659254,30659255,33730689,42760600,47430016,47430015,41742499,32821462,32821461,31696355,31696354,39094511,30498664,23085333,23085331,28978503,37522490,47430100,49415459,256113220,255651146,51067399,41908312,32968953,25246756,25246755,32968951,41908310,255382862,39823638,37300631,35147994,27062203,27062207,27095973,20196751,20196753,21527563,28792297,24580290,24580289,32165588,40196605,40196603,46381272,36521765,28056565,20886760,20886758,28056560,36521758,46381267,51261229,48513607,38598824,38598825,48513608,44626711,38403700,29831501,22463969,22463971,27146001,20236784,20236783,27145998,256174534,37131086,28619224,28619225,37131087,256174532,98593256,112586824,119753915 Dl.O(d2) = 105519848,259647910,64233595,77383939,77355744,64208090,52357896,42018725,33074623,25344529,25344527,25345308,18764426,16290083,16290080,16272819,16272818,11315271,11315267,16272859,22440783,29807165,255831068,28620801,37132931,47020373,258674621,62860545,51210651,41053591,32259326,256586153,51210647,62860542,75824398,259588307,100067177,86101647,72502779,59768483,48385656,48385583,48385582,59768395,72502707,86101599,99735248,107647833,99735261,85781428,72187326,72187327,85781431,85678957,85678956,86101642,85781424,72187323,258413280,257206468,75693952,71834773,59094956,47696715,37775657,37775655,37775654,257486255,39184012,255965971,16905006,16905387,16905388,23168723,30586960,23169595,20905785,20905784,21890439,23169023,16905654,15813140,15813142,19683845,21400760,15414230,10654957,10654958,15414237,15414244,21400789,23168962,30209030,22817203,22817202,30209019,38793616,47047678,42435447,33442495,33442494,33442559,37899947,30208992,22817179,16598105,16598104,22674150,16477590,11480654,11480653,16477588,22674145,30049739,255814751,21184006,22633939,22633941,28404935,21183914,19188617,19188616,24323016,30003208,37750347,37750346,47672660,37750444,37750445,36893660,36893659,36900027,46211972,42299912,33319238,25557173,256102998,42299915,37376623,255641860,22535222,22535225,29889639,256617226,59018427,47614239,47614237,53156220,42706436,33676336,25870363,25870362,33676335,42706434,33962680,26124546,19430090,13902251,9540446,9540448,13902256,19213074,13723493,13723494,19212172,13722923,13722924,13723485,13723483,19213054,25871466,256158143,255691497,13722957,9400360,9400359,13722956,19211371,13722395,13722396,13722829,13722773,9400259,6158762,3853665,3853662,6158756,9400251,13722754,19211900,25869905,25871880,25871827,19213377,13723696,13723698,16437979,19213157,19213396,19211653,13722593,13722592,13722542,9400138,6158715,6158714,9400133,9400193,6158735,6158734,9400187,13722641,19211746,25869718,19212765,13723282,9400514,6158886,6158882,9400508,13723266,18744966,13344818,13344817,13722375,18736930,13338634,13338633,13722763,13722764,19211915,25869930,33675870,33677002,39928937,39928936,33675640,25869730,25869731,33675642,33677063,25871072,19212728,19212729,25871074,33042046,35235329,35235328,44617264,44617263,44617262,48405458,59789964,72524933,72034346,72034345,71951300,71951299,72524986,59790085,48405577,48405578,59652439,59652438,48405453,38499994,29936883,29936882,38500026,48405491,59789997,65140036,65140037,60515442,49112715,42706084,254560174,25870029,33675960,42706082,53155949,59212445,47814016,47814013,37892469,37892468,29644818,29644815,38211478,47345029,37437883,37437882,41699541,41699540,52011187,48265582,38354582,29781845,22416288,16251078,254781466,29781830,38354557,48265541,39285680,30688479,23272102,17009809,11923694,11923693,17009803,23272090,30688460,23272195,17009865,17009866,17009829,17009828,23272045,17009776,17009778,23272050,30688384,25200629,25200631,32913437,33467536,33467533,37382037,47291275,42812234,39184675,39184674,41728671,32808358,32808359,41728676,52043444,52864521,42460662,33467453,33467452,42363655,256637482,41728606,32808285,25106101,25106102,32808287,32807646,25105502,18556382,13185442,13185443,18556385,24464471,32026437,40782927,32808545,26427745,26427746,34305479,32807588,31841541,25434409,25434410,25105495,18556375,15770993,10923413,7225198,4552852,4552854,7225205,10706795,7073513,4453351,4453350,7073512,10706790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11658807, s2 = 14029574, dlinesl.size( ) = 30 s1 = 14991405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14991405, s2 = 14259035, int(edited[s2]) = 0 s1 = 14991405, s2 = 14259035, d1 = 4, d2 = 23 Dl.O(d1) = 259399192 Dl.O(d2) = 263559734,263913267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14991405, s2 = 14259035, dlinesl.size( ) = 2 s1 = 14991405, s2 = 14259035, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14991405, Dl.E( ) = 24, 1.19e-05 seconds used appending s1 = 14259036, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15217931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15217931, s2 = 13966494, int(edited[s2]) = 0 s1 = 15217931, s2 = 13966494, d1 = 6, d2 = 6 Dl.O(d1) = 5662214,3521578,3521579,5662217,8698948,12795012,12730805,12730804,254942856,255146753,8061879,5154489,5154490,8061883,12005982,15709410,19186352,25839954,33643223,37611145,255674284,28422270,28422271,36920343,44572155,42414963,33424029,25655847,25655846,33424027,32306826,24693961,18225133,12926812,12926811,18225082,255620881,14497935,9975762,6556496,4107442,2456877,1420226,807934,254095949,143036,78479,78478,143035,258102,457812,807932,1420221,2456867,254473963,9975739,9976140,6557542,6557543,9977132,255335923,14498115,9976963,9976964,14498122,14498121,20204886,20206290,14499319,14497276,14497277,14497799,9975643,6556385,4107371,4107370,4108264,6557656,9977248,14499662,20206690,27104669,35193828,35195863,35195864,44532648,35156417,268829183,44575066,55419102,67718682,55378878,55378877,67718679,55421188,44573961,35195774,35195773,36596602,28123261,20945643,15037061,15037062,20945644,28123265,31823801,40520771,42314152,42314150,35193093,27104064,20204045,20204044,27104058,27078611,27078612,33158274,32701245,32701243,35194702,35194703,44572765,35194661,27105430,20205220,255752459,35194657,44572758,55419939,66889812,76811818,76811817,76811830,78869351,270008480,51903913,41604111,41604112,51903915,63710576,76811798,76811806,63710523,257166467,41604058,51903851,63710522,63710530,55419951,44572781,256228337,20205224,20205223,27105438,35194671,44572779,41603822,41603823,51903657,63710371,52701252,42314133,33333753,25574241,25574242,25574249,33333765,41604079,32701236,32701237,25017780,25017779,32701265,27105461,256753787,51903926,63710583,63710504,51903832,41604045,32701218,25017749,25017748,32701215,41604041,51903829,51903902,51903901,44572843,35194724,27105463,27105464,27105434,27105433,35194663,44572768,50980440,62601652,63710590,63710591,62601644,62601643,51903928,51903929,55420031,44572870,44572869,51903822,41604033,41604034,51903824,42314122,33333750,25574237,25574236,256653819,52701235,64601996,76811947,63710846,51904330,50980427,50980426,60219329,48822130,38899928,30313397,30313399,38899932,42886778,51904336,44571770,256612450,14497680,14497681,20204388,27104515,32701703,41604595,32701673,32701672,35193710,44571780,44571634,35193546,35193545,44571632,51904298,41604591,32701670,254903822,35193674,27104503,20204373,14497671,14497672,20204375,27104377,20204279,20204278,20204272,255335861,268136694,25018120,18488143,14497723,9975601,6556359,4107356,4107355,6556356,9975596,14497716,20204417,25017675,32701135,255638186,41604592,255239252,52090814,44571757,256098574,27104437,20204334,14497650,9975562,6556335,4107339,2456818,1420197,807919,457806,457807,807921,1420203,2456829,4107363,6556371,9975622,255335863,14497631,9975549,9975548,14497628,20204292,27104396,35193562,35193701,35193688,27104523,20206675,20206676,27104445,27104431,20204329,254981359,9975561,14497649,20204333,27104434,35193590,27104522,27104521,35193566,44571652,35193742,27104578,20204440,14497733,9975604,9975603,14497732,20204438,254590464,27104633,255558106,44571663,268677924,20204323,20204325,27104426,35193582,44571668,35193769,27104613,20204467,14497750,14497746,20204457,27104600,35193767,44571838,55419024,267909266,43381502,34282801,26407758,26407761,34282803,43381505,44571737,55418930,59956996,59956997,255558070,67758940,67758941,55418954,44571753,35193658,27104489,27104490,35193660,44571701,35196431,27106964,20206554,14499561,9977145,9977146,14499563,20206558,27106967,35196440,44574646,55421915,67758959,67758958,81225073,67758957,255169698,44574673,37166188,28649256,24886567,24886566,28649265,28649264,37166202,47057589,58432405,47057567,37166186,28649254,28649253,37166184,47057565,44571697,44571698,55418882,257642714,62126453,62126454,74933634,62126466,51607604,51607602,63331325,76362623,256401010,48163045,38253852,38253853,48163046,59549642,48164637,48164639,38621223,38621222,48536176,59551221,59551220,59551204,255904660,70908331,58195650,58195649,59551237,255088390,29690109,22337597,254530610,38255349,48164651,51806338,41527792,41527791,51806337,63592616,63592617,72669585,76679150,86269736,76679151,76679152,90542324,84545422,84545421,76679135,63592587,63592588,63592615,51806329,51806328,63592613,65507192,53484217,53484216,46835625,46835626,43006724,33950467,33950465,40024002,50044084,61523846,254593838,254270342,23850718,24969776,254593840,8932506,5830250,3638035,3638034,5830248,8932503,13106373,18450098,24969752,24969728,24969727,32640694,36972815,41527710,51806236,63592511,67758880,67758879,76679112,63592536,51806264,41527733,32640702,24969744,24969745,256609423,41527727,41527713,41527714,41527739,41527738,51806244,41527719,32640688,32640687,41111391,32300624,24689413,24689414,32300626,41111395,51291555,41111431,32300659,32300658,41111402,255876782,44409576,55256978,256181120,95123948,269565974,74468593,84940839,84940838,257664296,72451004,72451002,72451003,86049753,100013036,114040431,127921871,130036023,130036022,143368275,152001951,139295043,139295042,261279866,259889926,259077204,257831586,257831584 Dl.O(d2) = 5662214,3521578,3521579,5662217,8698948,12795012,12730805,12730804,254942856,255146753,8061879,5154489,5154490,8061883,12005982,15709410,19186352,25839954,33643223,37611145,255674284,28422270,28422271,36920343,44572155,42414963,33424029,25655847,25655846,33424027,32306826,24693961,18225133,12926812,12926811,18225082,255620881,14497935,9975762,6556496,4107442,2456877,1420226,807934,254095949,143036,78479,78478,143035,258102,457812,807932,1420221,2456867,254473963,9975739,9976140,6557542,6557543,9977132,255335923,14498115,9976963,9976964,14498122,14498121,20204886,20206290,14499319,14497276,14497277,14497799,9975643,6556385,4107371,4107370,4108264,6557656,9977248,14499662,20206690,27104669,35193828,35195863,35195864,44532648,35156417,268829183,44575066,55419102,67718682,55378878,55378877,67718679,55421188,44573961,35195774,35195773,36596602,28123261,20945643,15037061,15037062,20945644,28123265,31823801,40520771,42314152,42314150,35193093,27104064,20204045,20204044,27104058,27078611,27078612,33158274,32701245,32701243,35194702,35194703,44572765,35194661,27105430,20205220,255752459,35194657,44572758,55419939,66889812,76811818,76811817,76811830,78869351,270008480,51903913,41604111,41604112,51903915,63710576,76811798,76811806,63710523,257166467,41604058,51903851,63710522,63710530,55419951,44572781,256228337,20205224,20205223,27105438,35194671,44572779,41603822,41603823,51903657,63710371,52701252,42314133,33333753,25574241,25574242,25574249,33333765,41604079,32701236,32701237,25017780,25017779,32701265,27105461,256753787,51903926,63710583,63710504,51903832,41604045,32701218,25017749,25017748,32701215,41604041,51903829,51903902,51903901,44572843,35194724,27105463,27105464,27105434,27105433,35194663,44572768,50980440,62601652,63710590,63710591,62601644,62601643,51903928,51903929,55420031,44572870,44572869,51903822,41604033,41604034,51903824,42314122,33333750,25574237,25574236,256653819,52701235,64601996,76811947,63710846,51904330,50980427,50980426,60219329,48822130,38899928,30313397,30313399,38899932,42886778,51904336,44571770,256612450,14497680,14497681,20204388,27104515,32701703,41604595,32701673,32701672,35193710,44571780,44571634,35193546,35193545,44571632,51904298,41604591,32701670,254903822,35193674,27104503,20204373,14497671,14497672,20204375,27104377,20204279,20204278,20204272,255335861,268136694,25018120,18488143,14497723,9975601,6556359,4107356,4107355,6556356,9975596,14497716,20204417,25017675,32701135,255638186,41604592,255239252,52090814,44571757,256098574,27104437,20204334,14497650,9975562,6556335,4107339,2456818,1420197,807919,457806,457807,807921,1420203,2456829,4107363,6556371,9975622,255335863,14497631,9975549,9975548,14497628,20204292,27104396,35193562,35193701,35193688,27104523,20206675,20206676,27104445,27104431,20204329,254981359,9975561,14497649,20204333,27104434,35193590,27104522,27104521,35193566,44571652,35193742,27104578,20204440,14497733,9975604,9975603,14497732,20204438,254590464,27104633,255558106,44571663,268677924,20204323,20204325,27104426,35193582,44571668,35193769,27104613,20204467,14497750,14497746,20204457,27104600,35193767,44571838,55419024,267909266,43381502,34282801,26407758,26407761,34282803,43381505,44571737,55418930,59956996,59956997,255558070,67758940,67758941,55418954,44571753,35193658,27104489,27104490,35193660,44571701,35196431,27106964,20206554,14499561,9977145,9977146,14499563,20206558,27106967,35196440,44574646,55421915,67758959,67758958,81225073,67758957,255169698,44574673,37166188,28649256,24886567,24886566,28649265,28649264,37166202,47057589,58432405,47057567,37166186,28649254,28649253,37166184,47057565,44571697,44571698,55418882,257642714,62126453,62126454,74933634,62126466,51607604,51607602,63331325,76362623,256401010,48163045,38253852,38253853,48163046,59549642,48164637,48164639,38621223,38621222,48536176,59551221,59551220,59551204,255904660,70908331,58195650,58195649,59551237,255088390,29690109,22337597,254530610,38255349,48164651,51806338,41527792,41527791,51806337,63592616,63592617,72669585,76679150,86269736,76679151,76679152,90542324,84545422,84545421,76679135,63592587,63592588,63592615,51806329,51806328,63592613,65507192,53484217,53484216,46835625,46835626,43006724,33950467,33950465,40024002,50044084,61523846,254593838,254270342,23850718,24969776,254593840,8932506,5830250,3638035,3638034,5830248,8932503,13106373,18450098,24969752,24969728,24969727,32640694,36972815,41527710,51806236,63592511,67758880,67758879,76679112,63592536,51806264,41527733,32640702,24969744,24969745,256609423,41527727,41527713,41527714,41527739,41527738,51806244,41527719,32640688,32640687,41111391,32300624,24689413,24689414,32300626,41111395,51291555,41111431,32300659,32300658,41111402,255876782,44409576,55256978,256181120,95123948,269565974,74468593,84940839,84940838,257664296,72451004,72451002,72451003,86049753,100013036,114040431,127921871,130036023,130036022,143368275,152001951,139295043,139295042,261279866,259889926,259077204,257831586,257831584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15217931, s2 = 13966494, dlinesl.size( ) = 2 s1 = 15217931, s2 = 13966494, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15217931, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 14259044, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14259044, s2 = 6824361, int(edited[s2]) = 0 s1 = 14259044, s2 = 6824361, d1 = 2, d2 = 12 Dl.O(d1) = 105405268,119641626,125669524 Dl.O(d2) = 258889666,70513650,57812240,46456031,36589848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14259044, s2 = 6824361, dlinesl.size( ) = 14 s1 = 14259048, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207517, s2 = 14108450, int(edited[s2]) = 0 s1 = 11207517, s2 = 14108450, d1 = 15, d2 = 6 Dl.O(d1) = 258653688,10491225,6918043,4346002,4346003,6918049,10491238,11085210,7351033,7350814,6915805,4343913,2600945,1500577,850473,480355,270380,149895,267735975,25061,25060,45115,82457,149867,270313,480226,850286,1500234,2600352,4343015,254573927,3166966,3166965,5190519,8101540,12050315,17146111,23423154,30853845,39458038,49386155,47885712,37967320,29403358,22073000,22072999,29403357,37967315,47885707,59282170,55217400,55217399,60786970,55266533,55266534,60786966,55217406,44366326,34988272,26907606,256211877,34988327,26907642,20024089,20024088,23423139,23423140,30853819,39457990,49386092,60786937,67560913,59856163,48465226,48465227,59282173,49386128,39458013,39458012,49386126,60786961,55217348,44366272,257302797,34988308,34988307,44366354,55217421,67560932,60786974,60786925,49386081,39457981,39457980,257613111,39457994,30853822,26907584,26907583,34988234,34988285,34988284,44366334,55217395,55217394,269375239,49386118,39458008,257032189,49386162,49386136,49386137,269634853,81030099,67560939,61593881,61593882,50114040,50114041,55266554,67560880,67560896,61565441,61565442,61593921,61593922,67608172,55266584,55266583,67608171,71270012,58538406,58538408,61593856,61593854,71919460,60087471,48691251,48691250,47649720,47649719,59050871,61593796,50113871,40093437,40093439,50113875,50113884,40093444,31413762,31413761,40093443,50113867,61593788,74370224,71270025,58538416,58538415,60360422,59181203,47781979,256401904,29289334,37858166,47781987,59181212,61593817,59662671,48274825,46269553,36416947,36416948,46269558,48965198,48965197,60360426,60360431,72354755,61566275,61566276,61566293,61566294,61593933,50114020,47649728,37727952,37727951,47649725,59050879,61565432,61565431,61593837,50113904,40093457,31413768,23924245,23924246,31413772,40093461,31413817,31413816,40093523,50113911,40093465,31413776,23924249,23924250,31413779,40093474,40093550,47781980,256408878,61593926,61593925,65566926,255973192,43062811,50086154,40064713,31381916,23884936,23884937,31381918,40064716,48233147,38323280,38323279,255080974,65566918,59662666,59181215,59181216,53542017,43062792,43062794,53542019,65566921,61593876,50113955,255895538,23924263,17583195,12410846,8388069,5412773,254596771,12410842,12410851,255180161,23924272,31413826,40093539,50114006,61593830,50113898,50113899,53542035,50113980,50113981,50114055,40093590,31413861,23924295,23924296,31413865,31381910,23884934,23884933,31381905,40064701,50086140,53542051,50113947,43062832,256408872,40093532,31413819,31413818,31413836,31413835,34004801,26163042,19462710,19462709,26163040,34004797,256408888,58646886,58646885,255911872,50114059,40093593,40093594,268086212,59136931,47738213,47738214,57956028,53542046,43062820,43062801,43062802,47254639,37345310,37345312,37345244,37345245,28807113,21540048,21540049,28807117,28807173,37345195,39456413,39456412,40032933,31352821,23859329,17516031,12351927,8345321,8345322,12351930,17516037,22370086,22370085,29726701,38293597,37345209,28807075,21540007,21540008,28807079,21540068,21540067,23859334,28202945,23859350,17516042,17516041,21540075,15524001,15090620,15090611,15090609,20992423,20992424,21165337,21165338,28383105,21540106,15524024,10736495,10736494,15524021,15523995,10736478,10736477,15523993,21540062,28807130,37345221,28807092,28807091,37345219,36693125,28202966,21011199,21011198,15523952,15523953,21539990,28807058,28807234,21540244,15524151,10736590,10736591,15524153,15524264,10736659,7093744,7093745,10736661,15524038,15524137,10736581,10736582,15524140,12351938,8345331,5386397,3312200,1948554,1948555,267826073,1563839,889011 Dl.O(d2) = 320011,320010,571223,1013376,1777508,3051268,5040003,3241133,2772175,1607782,1607781,1887977,1887976,3221440,5266625,8170115,8170114,12140655,8227564,8227563,8199565,5270047,3224627,3224625,1957633,1118232,1118231,1957630,3230546,3230547,5276320,3246434,1905573,1087906,1087908,1886515,1076343,1076263,1076265,604596,604597,1076337,1886502,3219400,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614155,1093964,1915434,3042101,5025906,5297971,5297973,3265996,1919771,1096663,615638,342270,187739,187740,187751,187752,334497,600445,1068422,1873059,3199453,1903517,1086600,1086599,1903513,2785417,1615660,918870,918869,601563,335045,184259,100940,100941,184253,335026,601515,1070424,1876367,3204326,3204013,3204012,5245594,8176034,7328063,5238814,254504650,11317228,11317227,11052148,8200212,8200211,11403766,8193641,5263432,3218642,3218643,5263433,8193643,8345283,8345284,12351889,17515984,23859280,31352768,38834300,36968439,28469894,28469895,36966064,28467267,21245674,15279173,10545256,6954595,6954594,9252203,6946847,6946848,4375921,2621156,1953833,1953838,3321734,5402676,6959961,4378105,2622239,2621945,2621946,4377543,6050324,9238025,13502344,12382737,12382735,10552071,10552070,13538389,10550125,10550126,14209212,19834817,18958861,15304528,15293859,15275311,10541724,6952203,4368413,4368415,4368406,2617347,2617346,4368401,6952177,4379253,4379251,4364743,2615533,1510337,856548,483755,483753,856543,1317942,2272563,3793977,6063817,9253623,13517493,9253679,9253675,13522093,10565935,10565937,10565856,6968962,6968961,10565851,15301644,18972071,13536898,13536896,18962846,15308505,15308506,15271047,15271045,15309566,10573020,10573021,15262696,13532424,13532425,12064127,8111892,5196996,3170815,1856284,1856282,3170809,5196983,4366913,4366912,5196271,3170416,3170418,5196278,8110723,6067422,6062345,6060787,5196391,3170488,1856131,1059354,595701,595704,1059362,1856147,3170533,5196464,7484806,5193825,3169172,3169167,5193798,3791700,2273120,2273118,2274619,2274622,3797536,4377806,4377808,6968383,10564986,15300615,254856138,255572784,17308898,17308897,23624377,27144852,30891228,23458408,17179961,17179962,23458412,255755283,20235789,27144669,27144637,27144638,35047220,35047221,27144767,20235843,20235842,27144764,32607483,24943666,24295589,17913160,12691018,12691017,17913152,24295572,31810793,37903752,40506314,31810775,27133218,20227298,14514836,14514835,20227291,27133202,35227355,32607555,32607554,41486580,35241522,27144626,20235772,20235773,27144632,35241536,44624959,44624901,35241500,35241499,44624899,256967850,44625121,257475682,31810795,40506343,50541667,62033214,67817496,67817495,81284746,81284805,257922829,55475234,67817602,63535691,257160465,41486604,51756802,269873250,67817568,258543217,84294739,90474278,90474277,258260738,55264532,55264533,62618469,62618468,67798524,55475015,55475016,67817455,72989511,258781436,87917677,95135279,81076675,81076676,81079736,258527867,63535646,63535647,63535544,51756684,48861170,48861174,38941721,30355508,22953699,16717122,16717124,22953712,30355549,38941781,48861316,48861307,46656792,36771822,28986008,21702844,21702843,28986005,28985983,28985982,28987989,28987991,37532785,38941673,44419793,55267116,67608619,55267120,48932288,39008675,39008677,47438648,58825338,60779645,60779646,60254144,48861371,38941797,30355555,30355556,38941804,48861382,60254154,58029131,46656770,46656769,44424297,35049544,35049538,35049537,44424285,38941753,30355530,22953704,22953703,30355523,36771830,37530475,47438555,40234082,40234083,36771842,36771841,28985951,28985950,28985978,21702830,21702828,28985971,37530527,47438624,50253487,58029276,47438512,38941766,38941767,48861320,44421658,44421657,50997125,58825315,62024473,50532702,40497384,40497382,50532699,47438674,47438676,58825359,58825328,47438627,47438628,44419805,44419804,55267134,46656890,46656889,49378455,39450358,39450357,49378469,47438525,37530458,29287117,29287116,35047089,35047087,36828667,44417929,44417924,48725727,38805041,30221534,255498125,11583506,11583505,16608301,268415071,257548466,26963998,26963997,35044253,268231094,35043535,35043734,32834028,32834029,35043951,26963701,26963702,20079598,20079599,26963586,26963585,20079281,20079280,26963615,26963683,20079348,14396658,9902641,9902642,14396664,14397966,20080920,20079724,14396956,9902818,9902816,14396948,14399320,20079398,20079399,14396910,9902797,9902796,14396903,20079646,26963336,26963338,35043562,26965030,20080475,14397452,14397450,20080471,20082954,14399181,9904232,9904233,9904292,255327969,14396737,9902674,6508787,4078781,2440513,1411071,1411070,2440508,4078773,6508774,254540726,9903566,9903565,14398117,20081396,26964089,26963423,20079140,20079139,26963421,255926604,20083068,14399281,9904288,6509720,4079275,2440768,2440769,4079281,6509736,9902496,9902655,9903900,6509517,6509520,9903907,14396891,14396892,9903611,9903613,9902610,9902609,14396609,20079298,255742801,30859089,23427962,17150606,12054113,8104350,5192577,3168528,1855142,1058870,595457,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272088,2622125,4377871,6067396,6067397,7484806,5193825,3169172,3169167,5193798,3791700,2273109,2273107,3794888,6065246,9252436,13520647,18956978,21474290,21477257,15474784,15474783,21477254,28734479,37266661,31396976,25571834,18962716,18962717,25571836,21234078,21234079,28459448,30454086,23045667,16799771,16799770,23045663,30454084,31270436,25570806,25550376,18937870,16441227,12692270,8622271,5605880,254618359,12692272,17914686,24297222,31812538,40508370,50544009,62035789,74832260,88465433,102468848,116567539,130407031,143732659,156259135,167847990,178285491,187495942,195511674,202366653,208129589,212881597,216767450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207517, s2 = 14108450, dlinesl.size( ) = 2 s1 = 11207517, s2 = 14108450, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11207517, Dl.E( ) = 16, 1.22e-05 seconds used appending s1 = 15948847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14263114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14263114, s2 = 5825884, int(edited[s2]) = 0 s1 = 14263114, s2 = 5825884, d1 = 17, d2 = 13 Dl.O(d1) = 244792462,267383258,244940848,244760860,267343056 Dl.O(d2) = 267321040,244568170,244360906,267245962,267187348,243359639,243063202,242747524,242408442,242043285,241646727,266901634,240753275,240252484,239712004,239712003,239127497,238491657,237797616,237033994,236198238,235281037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14263114, s2 = 5825884, dlinesl.size( ) = 8 s1 = 10364306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12343546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11508781, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508781, s2 = 11098020, int(edited[s2]) = 0 s1 = 11508781, s2 = 11098020, d1 = 29, d2 = 0 Dl.O(d1) = 265634545,265924361,265693236,209441966,264168370,273524880 Dl.O(d2) = 119980839,259902538,258031662,18878966,18878965,17352881,17352880,23341829,17075745,17075746,23341832,22360671,16207867,255020158,13453503,18878910,19575815,19575813,26298618,34166529,31757983,31757984,38285570,29718958,29718957,38285566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508781, s2 = 11098020, dlinesl.size( ) = 24 s1 = 11402395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402395, s2 = 10369214, int(edited[s2]) = 0 s1 = 11402395, s2 = 10369214, d1 = 29, d2 = 36 Dl.O(d1) = 272582430 Dl.O(d2) = 258820010,256984633,60120169,72857136,270275590,95659109,87975268,74373536,74373537,87975271,101947357,109862430,95659108,81625932,81625931,95659104,81625928,68135982,68135983,71162085,58440133,268997753,40097198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402395, s2 = 10369214, dlinesl.size( ) = 34 s1 = 14087741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12033541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522697, s2 = 14099100, int(edited[s2]) = 0 s1 = 11522697, s2 = 14099100, d1 = 7, d2 = 57 Dl.O(d1) = 221843443,221843442 Dl.O(d2) = 123597098,137328516,134638922,120841670,106593376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522697, s2 = 14099100, dlinesl.size( ) = 36 s1 = 11626327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14147007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147007, s2 = 11529066, int(edited[s2]) = 0 s1 = 14147007, s2 = 11529066, d1 = 18, d2 = 0 Dl.O(d1) = 266092032,265688510,224000184,265159555 Dl.O(d2) = 215229534,211076451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147007, s2 = 11529066, dlinesl.size( ) = 14 s1 = 11529065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529065, s2 = 14147008, int(edited[s2]) = 0 s1 = 11529065, s2 = 14147008, d1 = 7, d2 = 19 Dl.O(d1) = 225854033,227749900 Dl.O(d2) = 265159554,226139444,265688511,266092033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529065, s2 = 14147008, dlinesl.size( ) = 14 s1 = 14062933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062933, s2 = 14114858, int(edited[s2]) = 0 s1 = 14062933, s2 = 14114858, d1 = 0, d2 = 17 Dl.O(d1) = 52863549,64782937 Dl.O(d2) = 260890967 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062933, s2 = 14114858, dlinesl.size( ) = 26 s1 = 11790232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655015, s2 = 8496516, int(edited[s2]) = 0 s1 = 11655015, s2 = 8496516, d1 = 28, d2 = 32 Dl.O(d1) = 274787903,237221635 Dl.O(d2) = 266566639,235498880,234512226,233429379,232237284,230916377,265817195,225888415,274326407,205406541,273543568,137015409,123247380,109021990,259145451,80663280,94741561,271649623,261708704,271649623,137015410,150092906,137015409,137015408,150092905,262703422,109021991,109021992,123247383,261543915,137015414,123247384,109021994,94741565,80663282,67188228,67188227,80663280,94741562,94741563,109021992,123247383,137015411,262074755,272454669,123247385,109021995,94741565,94741564,260387639,137015413,150092910,272454669,137015415,262224324,109021995,94741565,80663282,67188228,257296545,256731909,26731516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655015, s2 = 8496516, dlinesl.size( ) = 12 s1 = 12033819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11790268, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14057221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12343704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14055195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055195, s2 = 10388716, int(edited[s2]) = 0 s1 = 14055195, s2 = 10388716, d1 = 9, d2 = 4 Dl.O(d1) = 33944558,26108871,19416848,13891426,13891428,18733556,13336173,13336176,9533005,6253560 Dl.O(d2) = 6253501,3914792,3914790,6253526,254948869,19418696,26111186,33947278,43003228,53480316,65503026,78834890,92941475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055195, s2 = 10388716, dlinesl.size( ) = 2 s1 = 14055195, s2 = 10388716, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14055195, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11610555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610555, s2 = 11662845, int(edited[s2]) = 0 s1 = 11610555, s2 = 11662845, d1 = 16, d2 = 25 Dl.O(d1) = 267051686,242769684,243084239,243379690 Dl.O(d2) = 274953784,244151317,243912514,243655991,243379689,243379688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610555, s2 = 11662845, dlinesl.size( ) = 26 s1 = 11142737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142737, s2 = 11142160, int(edited[s2]) = 0 s1 = 11142737, s2 = 11142160, d1 = 27, d2 = 7 Dl.O(d1) = 47071497,37177968,256318520,255398714 Dl.O(d2) = 37177970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142737, s2 = 11142160, dlinesl.size( ) = 30 s1 = 14141187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141187, s2 = 10390481, int(edited[s2]) = 0 s1 = 14141187, s2 = 10390481, d1 = 20, d2 = 26 Dl.O(d1) = 224117030 Dl.O(d2) = 256852761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141187, s2 = 10390481, dlinesl.size( ) = 20 s1 = 14144809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11391999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351235, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14166500, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328189, s2 = 11433948, int(edited[s2]) = 0 s1 = 11328189, s2 = 11433948, d1 = 4, d2 = 6 Dl.O(d1) = 139650045,152370830,164243705,175049441,184642329,193020741,200209373,263847876 Dl.O(d2) = 193020741,200209373,206279731,263487460,263487458,206279731,263487460,262643600,175049441,184642329,193020740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328189, s2 = 11433948, dlinesl.size( ) = 2 s1 = 11328189, s2 = 11433948, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11328189, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11558955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116043, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12034355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11161111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11161111, s2 = 7857801, int(edited[s2]) = 0 s1 = 11161111, s2 = 7857801, d1 = 26, d2 = 4 Dl.O(d1) = 257038004 Dl.O(d2) = 4109807,6560171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11161111, s2 = 7857801, dlinesl.size( ) = 16 s1 = 15054937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15054937, s2 = 11052108, int(edited[s2]) = 0 s1 = 15054937, s2 = 11052108, d1 = 2, d2 = 1 Dl.O(d1) = 261208876,259810586,86379642,258556042,48648275 Dl.O(d2) = 72783639,60044859,48648277,38727128,256241318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15054937, s2 = 11052108, dlinesl.size( ) = 8 s1 = 10409070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10409070, s2 = 11610750, int(edited[s2]) = 0 s1 = 10409070, s2 = 11610750, d1 = 43, d2 = 49 Dl.O(d1) = 274707375,266693643,239096095,239682209 Dl.O(d2) = 241624853,241624852,241193366,241193367 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10409070, s2 = 11610750, dlinesl.size( ) = 40 s1 = 11412423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412423, s2 = 11117190, int(edited[s2]) = 0 s1 = 11412423, s2 = 11117190, d1 = 36, d2 = 20 Dl.O(d1) = 182906369,182906371,173008421,173008422,182906372,191550740,182906370,173008420 Dl.O(d2) = 257542500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412423, s2 = 11117190, dlinesl.size( ) = 38 s1 = 11229083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229083, s2 = 11261274, int(edited[s2]) = 0 s1 = 11229083, s2 = 11261274, d1 = 14, d2 = 4 Dl.O(d1) = 77313194,77313195,74960086,62150162 Dl.O(d2) = 64165101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229083, s2 = 11261274, dlinesl.size( ) = 12 s1 = 12343958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11392467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11392467, s2 = 10996114, int(edited[s2]) = 0 s1 = 11392467, s2 = 10996114, d1 = 45, d2 = 79 Dl.O(d1) = 260824688,98829455,86442869 Dl.O(d2) = 12508425,12508423,17686405,21361381,15455153,10685951,7059203,7059201,10685943,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653067,28640623,21400041,21400040,256322649,31638418,24131216,21349168,21349167,28578401,31638481,31638480,28578314,28578313,31637985,24131431,17767959,12573779,8527721,8527723,12573783,17767965,17767938,17767939,24131399,21315836,15344973,10599346,10599347,15344982,21315852,28539227,37037673,42825193,40328080,40328079,46915249,37082605,37082606,31638630,31638629,40328291,37082506,37082507,31782729,24269940,24269941,30384459,24131177,17767773,12573677,12573676,17767767,24131168,24131258,24131259,31638462,40328112,40328455,31638792,31638793,30660770,30660768,33089685,33089686,42037600,52381400,46943160,40328446,31638781,24131503,17768021,12573823,12573822,17768016,24130910,17767598,13370534,9138205,9138207,13370540,18774662,25356863,33089725,33372061,33372062,42361053,52760678,46963479,37082511,28578267,28578269,22982157,16744774,16744772,22982152,30384464,38970776,40328010,50355245,48480062,40328000,31638457,31638459,40328106,50355345,48480055,48480053,59871858,60581769,49182127,42037597,42037595,50355226,40327982,31638336,31638337,40327986,37082545,37082544,40149266,31465599,23969938,23969930,23969932,24130919,31638035,31465667,23969981,23969980,31465664,40149320,40149338,40328430,40328431,40327656,40149221,40149222,38244045,29679225,29679227,22982143,22982144,30384453,38970767,42037632,42037633,38566604,38566605,31638052,31638053,38566594,38566589,38566588,44730361,50174796,49891487,48490577,38577308,30006415,30006416,38244070,48152963,50355215,50333515,50333517,50174832,40149276,31465606,23969944,17620498,12438911,12438912,17620505,23969962,28938025,21659361,21659362,27191045,35310865,44730307,35311253,35311254,42037604,33089693,33089692,35311023,44730410,38244041,30384439,24522983,24522981,32098231,32098235,39869443,39869444,49891497,47963683,38050499,37602710,29679236,29679233,38244058,48152954,39869434,31186993,31186992,39869428,39869475,39869474,49891515,52381393,49891508,40149241,35310896,34104015,29679241,29679240,31465645,23969965,23969949,23969950,27112963,27112962,27191050,20266770,20266771,27191055,27191090,27191089,27191166,20266854,20266855,27191172,27191270,32098248,24522998,18091761,12826731,12826730,18091756,24522987,23697263,23697262,31187003,27038214,27038213,35125326,40869986,40869985,44730431,39869440,31186995,23697258,23697257,27191037,27191660,27191657,35310914,27191678,27191677,35311318,34104020,256761403,27191684,20267312,20267313,27191335,27191334,27191418,27191419,35310836,35310905,27191102,27191101,20266840,14541141,10004643,6574616,4118413,4118411,6574612,10004635,10004794,10004793,10004651,10004652,14541166,17579238,23920660,27191389,20267411,20267412,21497863,21497864,27191805,27038284,20145334,14450721,14450723,20145342,21497848,15491221,10712499,10712500,10004737,6574662,6574663,10004745,14541321,20267114,15491226,15491225,21497854,28757188,27191306,27191303,27191302,35311047,31410567,27191398,27191297,20266987,14541240,10004696,6574641,4118426,2463367,2463365,4118420,6574633,6574703,6574704,10004798,14541398,20267212,23920655,27038337,20266926,14541531,14541533,20267417,20267400,14541582,14541581,20267474,21497907,21497908,27038291,27191115,21497761,20266974,14541293,10004723,6574656,6574657,10004729,14541297,15463331,10692155,10692154,14541247,10004700,10004701,14541253,20266994,27191312,27191590,27191527,20267179,14541361,10004773,6574686,4118450,2463382,1423944,1423942,2463374,4118438,4118455,4118456,6574700,10004789,14541380,20267188,20267431,14541545,10004863,10004862,14541540,14541522,14541521,20267199,27191546,27191281,27191200,27191201,28756865,28756867,27191277,20267057,14541284,255340179,256234749,257328315,269785321,31429659,40109442,40113968,268936645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11392467, s2 = 10996114, dlinesl.size( ) = 58 s1 = 11485099, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11410171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400681, s2 = 11530266, int(edited[s2]) = 0 s1 = 11400681, s2 = 11530266, d1 = 30, d2 = 27 Dl.O(d1) = 273350687,264217947,200942614,264217945,274193616,222022579,224438030,226536373,226536372,224438029,222022578,222022579,265563435,228364789 Dl.O(d2) = 226536372,226536371,226536379,228364792,265968030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400681, s2 = 11530266, dlinesl.size( ) = 26 s1 = 12034675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990882, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12034695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14259457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056771, s2 = 11130822, int(edited[s2]) = 0 s1 = 11056771, s2 = 11130822, d1 = 22, d2 = 8 Dl.O(d1) = 21717907,15673993,10850795,7173459,6540585,4097769,4097770,6540586,9948619,6538581,6538580,9948618,14460310,9951702,6540536,4097747,254215335,806332 Dl.O(d2) = 26087674,29003789,268621007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056771, s2 = 11130822, dlinesl.size( ) = 18 s1 = 14059503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14059503, s2 = 11308820, int(edited[s2]) = 0 s1 = 14059503, s2 = 11308820, d1 = 12, d2 = 11 Dl.O(d1) = 255938808,22802689,254795724,11567790,11567791,16587879,15563904,10765103,7112741,4478393,2690777,1558822,886257,886256,1558818,2690767,4478375,7112706,8004882,5096116,5096113,8004867,254685854,14907972,14907973,20801845,21590178,21590177,28864564,28510298,256851807,58254329,70970026,84532859,98454437 Dl.O(d2) = 262080288,261549790,139680173,272778154,261211560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14059503, s2 = 11308820, dlinesl.size( ) = 2 s1 = 14059503, s2 = 11308820, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14059503, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 12344084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570381, s2 = 10427051, int(edited[s2]) = 0 s1 = 11570381, s2 = 10427051, d1 = 16, d2 = 12 Dl.O(d1) = 265843344,274183022,215469661 Dl.O(d2) = 260516484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570381, s2 = 10427051, dlinesl.size( ) = 22 s1 = 14095283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095283, s2 = 13991292, int(edited[s2]) = 0 s1 = 14095283, s2 = 13991292, d1 = 18, d2 = 20 Dl.O(d1) = 112756669,257451924,84839442,84839440,98766689,112756668,126612369,139966639,139966642,139966643,152665497 Dl.O(d2) = 271307676,152665501,164510468,261112834,184841091,175281983,164510465,152665495,152665494,164510463,175281951,164510448,152665482,139966628,258062904,98766688,98766689,112756667,126612366,139966634,152665491,164510459,175281972,184841086,175281994,175281995,184841095,193187755,262663568,193187744,261112830,175281951,164510448,152665482,152665481,139966633,126612365,126612366,139966634,152665491,164510459,175281976,175281958,175281957,184841070,175281966,261112826,175281952,175281953,175281976,175281958,175281957,184841070,175281966,164510454,152665485,152665484,164510452,175281964,184841079,193187740,200351889,261663404,175281986,259933692,152665496,164510467,175281990,184841086,175281994,164510470,164510469,175281993,261112834,193187752,200351901,200351903,200351897,261663404,175281986,259933692,152665496,164510466,175281988,175281980,164510462,164510463,175281951,261112824,193187731,262663564,200351895,193187746,184841085,175281975,175281976,175281958,175281957,184841070,175281966,164510454,164510455,175281968,261112822,261663400,200351879,206403822,206403828,200351899,193187748,193187747,200351898,200351884,193187734,184841071,175281958,175281957,261663402,200351882,262181438,184841074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095283, s2 = 13991292, dlinesl.size( ) = 14 s1 = 13991291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13991291, s2 = 14095284, int(edited[s2]) = 0 s1 = 13991291, s2 = 14095284, d1 = 8, d2 = 15 Dl.O(d1) = 140014133,262181439,164549526,152710500,140014138,126659101,112800329,98807532,98807533,112800331,126659103,140014129,126659094,126659095,126659113,112800336,98807539,84878730,71304170 Dl.O(d2) = 273530686,140014145,126659127,112800344,98807544,259933693,126659123,261663405,164549527,152710500,140014138,126659101,112800329,98807532,98807533,112800331,126659103,140014129,126659094,126659095,126659113,112800336,98807539,84878730,71304170,58572190,47183380,47183379,258062907,84878727,98807533,112800331,126659103,140014129,126659094,126659095,126659113,126659090,112800327,98807531,259933689,126659095,126659113,126659090,112800327,112800326,98807549,258687457,58572193,58572194,71304176,84878735,71304173,58572191,47183380,37277286,37277288,257451925,58572192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13991291, s2 = 14095284, dlinesl.size( ) = 2 s1 = 13991291, s2 = 14095284, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13991291, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 12034951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11336005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336005, s2 = 134067, int(edited[s2]) = 0 s1 = 11336005, s2 = 134067, d1 = 14, d2 = 23 Dl.O(d1) = 128711356,114810848,259440223,86777417 Dl.O(d2) = 60418343,73164865,259440221,114810847,128711355,128711358,271829119,260057005,86777416,259440221,260656817,261778859,271829119,260057005,100758351,114810846,114810849,259440223,73164867,60418344,49014828,39085451,30489005,23075691,16823976,11764563,11764564,16823981,23075702,30489017,34026319,43092158,35206753,35206754,44586325,55435358,50564076,269068960,34966326,255645572,16816139,11759154,7851201,7851203,4983695,3010415,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010411,4983690,3010409,3010410,4983202,3010228,3010230,4983237,7850672,255129653,23063921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336005, s2 = 134067, dlinesl.size( ) = 2 s1 = 11336005, s2 = 134067, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11336005, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 10428633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11619213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619213, s2 = 10430885, int(edited[s2]) = 0 s1 = 11619213, s2 = 10430885, d1 = 30, d2 = 0 Dl.O(d1) = 267168044 Dl.O(d2) = 226762497,274294686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619213, s2 = 10430885, dlinesl.size( ) = 34 s1 = 14154391, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11320751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11665522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11665522, s2 = 11665520, int(edited[s2]) = 0 s1 = 11665522, s2 = 11665520, d1 = 1, d2 = 1 Dl.O(d1) = 129916515,143247562,155798819,165703217,262249997,141256361,127895797,114015658,99989897,86028241 Dl.O(d2) = 129916515,143247562,155798819,165703217,262249997,141256361,127895797,114015658,99989897,86028241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11665522, s2 = 11665520, dlinesl.size( ) = 2 s1 = 11665522, s2 = 11665520, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11665522, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11139127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139127, s2 = 14063138, int(edited[s2]) = 0 s1 = 11139127, s2 = 14063138, d1 = 15, d2 = 17 Dl.O(d1) = 259251065,111716318,125523722 Dl.O(d2) = 143228720,143228724,129899585,116001721,101957332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139127, s2 = 14063138, dlinesl.size( ) = 24 s1 = 14154133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16334544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16334544, s2 = 11581048, int(edited[s2]) = 0 s1 = 16334544, s2 = 11581048, d1 = 21, d2 = 20 Dl.O(d1) = 266913209,239521915 Dl.O(d2) = 266600631,235905935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16334544, s2 = 11581048, dlinesl.size( ) = 28 s1 = 11359467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359467, s2 = 7204883, int(edited[s2]) = 0 s1 = 11359467, s2 = 7204883, d1 = 1, d2 = 68 Dl.O(d1) = 154373404 Dl.O(d2) = 263970651,187023233,177748507,167255199,261828233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359467, s2 = 7204883, dlinesl.size( ) = 54 s1 = 10437626, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10437626, s2 = 13991744, int(edited[s2]) = 0 s1 = 10437626, s2 = 13991744, d1 = 9, d2 = 4 Dl.O(d1) = 256338971,258071209,85010816,259168500,126780329,140130759,152825106,164661685,175420050,272463784 Dl.O(d2) = 260408430,164661684,259795914,136361201,259168502,112925838,271661172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10437626, s2 = 13991744, dlinesl.size( ) = 2 s1 = 10437626, s2 = 13991744, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10437626, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 13991743, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11327457, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10441349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10441349, s2 = 11643146, int(edited[s2]) = 0 s1 = 10441349, s2 = 11643146, d1 = 7, d2 = 6 Dl.O(d1) = 247369634,247343433,247343432,247369633,247394632,247418897 Dl.O(d2) = 247284295,247284294,247315031,247343434,267654853,247394633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10441349, s2 = 11643146, dlinesl.size( ) = 14 s1 = 11577587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577587, s2 = 10442884, int(edited[s2]) = 0 s1 = 11577587, s2 = 10442884, d1 = 39, d2 = 50 Dl.O(d1) = 266361874,233771618 Dl.O(d2) = 274780086,266688078,266688082,238839233,274819350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332065, s2 = 11467432, int(edited[s2]) = 0 s1 = 11332065, s2 = 11467432, d1 = 0, d2 = 24 Dl.O(d1) = 140824373,153505007 Dl.O(d2) = 263890777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332065, s2 = 11467432, dlinesl.size( ) = 26 s1 = 12035573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12035573, s2 = 14028702, int(edited[s2]) = 0 s1 = 12035573, s2 = 14028702, d1 = 8, d2 = 12 Dl.O(d1) = 269578378,118796882,256709244,90454474,255719112,63517221,51739531,41470772,254464008,24932070,268725837,51814045,254670606,18455515,13110691,9184702,6011512,3759870,3759871 Dl.O(d2) = 6011553,8777850,8917574,8934999,8934996,13110010,18454643,24717967,19619386,19619390,25078174,25180637,25726604,29985825,29985823,24973315,18453170,18453174,24973327,28182118,28182116,31877895,24636764,24636766,26297971,32234384,32234383,34165804,34165803,43256137,53772050,65832197,257230718,57631848,46287183,46287182,57631846,256183108,41154718,51339772,51183171,41026707,32234391,32234390,41026706,32593778,32593779,41470806,51739556,58008072,255720168,28250372,21049994,15119989,268025746,25303145,18728139,18728138,22458115,22458114,17971874,17971877,24367921,28495224,23399331,17127283,17127285,23399333,28396071,33237633,25488401,18884835,18884834,23054302,16808063,16808065,18884786,24705179,21184634,15222906,15222903,16808072,15779540,10930853,7231717,4558192,2740780,1588281,1588282,2740782,4558195,7231724,268453188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12035573, s2 = 14028702, dlinesl.size( ) = 10 s1 = 10451717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11513555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11513555, s2 = 11531900, int(edited[s2]) = 0 s1 = 11513555, s2 = 11531900, d1 = 11, d2 = 7 Dl.O(d1) = 221885116,224315619,226424932,228261551,265382700 Dl.O(d2) = 231306029,231306030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11513555, s2 = 11531900, dlinesl.size( ) = 12 s1 = 14259496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12035617, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10456428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10460162, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10460162, s2 = 14022592, int(edited[s2]) = 0 s1 = 10460162, s2 = 14022592, d1 = 15, d2 = 5 Dl.O(d1) = 201354050,194328215,186125338,176712846,166075562,154326021,262276041,176712842,166075561,262751745,273529258,176712844,176712843,273364139,263497122 Dl.O(d2) = 25193348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10460162, s2 = 14022592, dlinesl.size( ) = 12 s1 = 14166748, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166748, s2 = 11625596, int(edited[s2]) = 0 s1 = 14166748, s2 = 11625596, d1 = 6, d2 = 6 Dl.O(d1) = 242560415,242891165,243199110,267039704,244005507,244237049,244451349,244650989,244837171,245012832,245177752,245332419,245478082,245614908,245742156,245861303 Dl.O(d2) = 242560415,242891165,243199110,267039704,244005507,244237049,244451349,244650989,244837171,245012832,245177752,245332419,245478082,245614908,245742156,245861303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166748, s2 = 11625596, dlinesl.size( ) = 2 s1 = 14166748, s2 = 11625596, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14166748, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 12035829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053163, s2 = 11122910, int(edited[s2]) = 0 s1 = 11053163, s2 = 11122910, d1 = 13, d2 = 11 Dl.O(d1) = 28145936,260507987,98377502,260110662,84468812 Dl.O(d2) = 257639676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053163, s2 = 11122910, dlinesl.size( ) = 16 s1 = 10468558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637453, s2 = 11629618, int(edited[s2]) = 0 s1 = 11637453, s2 = 11629618, d1 = 24, d2 = 37 Dl.O(d1) = 246559840,275048224,246344493 Dl.O(d2) = 245588147,275009158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637453, s2 = 11629618, dlinesl.size( ) = 30 s1 = 14087601, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12344544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10992861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10992861, s2 = 14054907, int(edited[s2]) = 0 s1 = 10992861, s2 = 14054907, d1 = 21, d2 = 9 Dl.O(d1) = 3820288,3814276,2284861,1325350,756406,429858,242651,134147,72943,72938,73375,39718 Dl.O(d2) = 255686971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10992861, s2 = 14054907, dlinesl.size( ) = 24 s1 = 10476159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10477904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10477904, s2 = 10477905, int(edited[s2]) = 0 s1 = 10477904, s2 = 10477905, d1 = 28, d2 = 1 Dl.O(d1) = 272954985,264591333,263814730,117543396 Dl.O(d2) = 75562656 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10477904, s2 = 10477905, dlinesl.size( ) = 34 s1 = 11275611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275611, s2 = 10483390, int(edited[s2]) = 0 s1 = 11275611, s2 = 10483390, d1 = 71, d2 = 55 Dl.O(d1) = 261137985,153209038,259386182,119997861,105765237,91543537,257528608,91543527,105765230,119997854,133862843,147105408,159478449,157046109,157046108,147105413 Dl.O(d2) = 260604440,131424807,260188936,62693464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275611, s2 = 10483390, dlinesl.size( ) = 60 s1 = 12036363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14100777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11411775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411775, s2 = 11013210, int(edited[s2]) = 0 s1 = 11411775, s2 = 11013210, d1 = 43, d2 = 63 Dl.O(d1) = 261481856 Dl.O(d2) = 100462357,100462358,100462367,86504178,72907506,60170511,255290072,30271404,38855873,48775987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411775, s2 = 11013210, dlinesl.size( ) = 28 s1 = 14149171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14149535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149535, s2 = 11576170, int(edited[s2]) = 0 s1 = 14149535, s2 = 11576170, d1 = 43, d2 = 0 Dl.O(d1) = 237123967,237123968,237879386 Dl.O(d2) = 234395899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149535, s2 = 11576170, dlinesl.size( ) = 40 s1 = 12036499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12036499, s2 = 11245946, int(edited[s2]) = 0 s1 = 12036499, s2 = 11245946, d1 = 11, d2 = 14 Dl.O(d1) = 261241157 Dl.O(d2) = 100387042,260637353,100387044,100387043,114410166,128286244,141636601,141636605,154291820,272854244,114410164,100387041,100387042,260637353,100387044,86431529,72837072 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12036499, s2 = 11245946, dlinesl.size( ) = 24 s1 = 12036505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14116907, s2 = 2358515, int(edited[s2]) = 0 s1 = 14116907, s2 = 2358515, d1 = 13, d2 = 15 Dl.O(d1) = 167825380,178266556,187479468,195496673,264581107,216756840,219977901,222696454,225030872,227058314,228827060,265717896,225030905,265765147,265765139,230384996,265994196,266153049,266116086,228827090,228827092,265862498,216756838,212870028,208117119,208117118,212870027,265054975,265443839,227058291,227058295,227058329,227058330,227058332,227058335,228827080,230385002,228827051,227058302,225030864,225030863,222696452,222696453,225030870,265765141,230385012,266116078,230384997,230384996,265994196,266153049 Dl.O(d2) = 225030862,222696451,219977899,219977898,222696449,220504569,265285316,209214591,264044511,189449787,180544214,170411870,159078015,146714305,133467581,119603517,105373070,270506351,64095174,52248071,258383397,91155061,105373069,119603515,133467580,146714303,159078014,170411868,180544213,189449784,195749885,187797124 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14116907, s2 = 2358515, dlinesl.size( ) = 2 s1 = 14116907, s2 = 2358515, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14116907, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11499569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11210987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402205, s2 = 7130772, int(edited[s2]) = 0 s1 = 11402205, s2 = 7130772, d1 = 68, d2 = 44 Dl.O(d1) = 261743838,194284637,201314617 Dl.O(d2) = 263002510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402205, s2 = 7130772, dlinesl.size( ) = 32 s1 = 10497898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14116607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11564159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11564159, s2 = 11576530, int(edited[s2]) = 0 s1 = 11564159, s2 = 11576530, d1 = 12, d2 = 18 Dl.O(d1) = 266569551,237995858,238673716 Dl.O(d2) = 274726426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11564159, s2 = 11576530, dlinesl.size( ) = 16 s1 = 11466845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036851, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11145011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145011, s2 = 11257738, int(edited[s2]) = 0 s1 = 11145011, s2 = 11257738, d1 = 36, d2 = 1 Dl.O(d1) = 258711041,99141993 Dl.O(d2) = 87091094,270878405,260186116,65116680,53131263,42680223,42680224,53131265,258440947,92435353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145011, s2 = 11257738, dlinesl.size( ) = 38 s1 = 14901715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11320787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036929, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10507867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14145418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548555, s2 = 13995275, int(edited[s2]) = 0 s1 = 11548555, s2 = 13995275, d1 = 16, d2 = 0 Dl.O(d1) = 265227570,232829563,233545510 Dl.O(d2) = 226094720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548555, s2 = 13995275, dlinesl.size( ) = 22 s1 = 12037165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11030581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11275227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275227, s2 = 10516642, int(edited[s2]) = 0 s1 = 11275227, s2 = 10516642, d1 = 0, d2 = 29 Dl.O(d1) = 113085725,126938805 Dl.O(d2) = 185086708,193409644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275227, s2 = 10516642, dlinesl.size( ) = 32 s1 = 11554791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11491981, s2 = 11102594, int(edited[s2]) = 0 s1 = 11491981, s2 = 11102594, d1 = 36, d2 = 50 Dl.O(d1) = 264098474,164732873,152901865,140211740,126865276,259718050,270046710 Dl.O(d2) = 58800858,47413957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11491981, s2 = 11102594, dlinesl.size( ) = 32 s1 = 14142601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14135467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14135467, s2 = 14995806, int(edited[s2]) = 0 s1 = 14135467, s2 = 14995806, d1 = 54, d2 = 23 Dl.O(d1) = 265042037,265432677,226951817,266026293,232940229,234072992,235104141,236041419,236041421,235104146,266255177,231688941,230296421,228730520,226951825,224912118,222563944,222563943,274422651,228730519 Dl.O(d2) = 262474493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14135467, s2 = 14995806, dlinesl.size( ) = 42 s1 = 12037387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11410705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11346947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11346947, s2 = 11226670, int(edited[s2]) = 0 s1 = 11346947, s2 = 11226670, d1 = 8, d2 = 34 Dl.O(d1) = 135224814 Dl.O(d2) = 92738972,258454109,53367408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11346947, s2 = 11226670, dlinesl.size( ) = 40 s1 = 10531277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11565673, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10536885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10536885, s2 = 14136163, int(edited[s2]) = 0 s1 = 10536885, s2 = 14136163, d1 = 14, d2 = 14 Dl.O(d1) = 236347068,236347067,274713646,235443352,234453241,234453242,266389793,234453237,235443345,266389794,235454575,236357694,237172831,237172830,237924985,266707868,237172826,237172827,237924984,238608782,238608784,237934457,237182823,236357701,236357702,236357685,235454567,234465118,233378242,265945094,229372776,265808844,230854238,229372777,227704765,225802867,223621802,221103724 Dl.O(d2) = 236347068,236347067,274713646,235443352,234453241,234453242,266389793,234453237,235443345,266389794,235454575,236357694,237172831,237172830,237924985,266707868,237172826,237172827,237924984,238608782,238608784,237934457,237182823,236357701,236357702,236357685,235454567,234465118,233378242,265945094,229372776,265808844,230854238,229372777,227704765,225802867,223621802,221103724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10536885, s2 = 14136163, dlinesl.size( ) = 2 s1 = 10536885, s2 = 14136163, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10536885, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 14136164, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11563815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563815, s2 = 11508410, int(edited[s2]) = 0 s1 = 11563815, s2 = 11508410, d1 = 7, d2 = 8 Dl.O(d1) = 233396602,233396609,232200817,230876398 Dl.O(d2) = 265280162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563815, s2 = 11508410, dlinesl.size( ) = 12 s1 = 10539186, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593417, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11347667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11347667, s2 = 6967313, int(edited[s2]) = 0 s1 = 11347667, s2 = 6967313, d1 = 83, d2 = 132 Dl.O(d1) = 149389271,161682204 Dl.O(d2) = 273576812,199665944,192369347,183894511,260714998,163371842,260715000,183894513,262338456,263238450,215114189,264282820,263972210,265039292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11347667, s2 = 6967313, dlinesl.size( ) = 76 s1 = 11637093, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11082931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11082931, s2 = 11424378, int(edited[s2]) = 0 s1 = 11082931, s2 = 11424378, d1 = 7, d2 = 40 Dl.O(d1) = 37536747 Dl.O(d2) = 263634778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11082931, s2 = 11424378, dlinesl.size( ) = 48 s1 = 11036673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036673, s2 = 10557832, int(edited[s2]) = 0 s1 = 11036673, s2 = 10557832, d1 = 17, d2 = 5 Dl.O(d1) = 16042600,254766575,4667646,2811959,1631262,1631264,927672,927666,1631360,2812162,4668007,7340971,10737540,7094284,4466679 Dl.O(d2) = 18842769,18842762,18842763,14224079,9778448,9778445,9615865,6316091,6316093,7883830,7435368,7435365,7435159,7435087,7435092,7094642,4466867,2683601,1554542,1554541,1642419,2830819,2830822,1727002,1727007,2975702,4932597,7782191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036673, s2 = 10557832, dlinesl.size( ) = 8 s1 = 14167198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12345378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12345378, s2 = 12362531, int(edited[s2]) = 0 s1 = 12345378, s2 = 12362531, d1 = 33, d2 = 4 Dl.O(d1) = 233031187 Dl.O(d2) = 11458835,16446218,22633787,22633987,16446389,16446388,21179289,28399734,28404770,36902148,46779994,58147562,46785407,46780909,36903073,36903075,46779999,36902153,36895525,36895524,46773735,48973157,39051524,30462021,29473609,29473608,38036425,46779997,39051554,30462044,23054041,16807859,16807858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12345378, s2 = 12362531, dlinesl.size( ) = 2 s1 = 12345378, s2 = 12362531, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12345378, Dl.E( ) = 84, 2.29e-05 seconds used appending s1 = 11189175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092681, s2 = 14109356, int(edited[s2]) = 0 s1 = 14092681, s2 = 14109356, d1 = 25, d2 = 20 Dl.O(d1) = 260855039,261959789,170527251,180661220,189561408,197251935,203812333,264622125,217468589,220543085,223158595,225419607,225419608,227386059,265925197,230624898,231978254,233197146,234299864,233257846,232045301,230699137,230699136,265644748,230700230,229189674,229189673 Dl.O(d2) = 230700226,232046231,232046232,230700229,229189674,227480264,225525459,223278287,220678956,217623416,213961725,209500569,204063093,197545786,189891831,181015063,170896804,159569085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092681, s2 = 14109356, dlinesl.size( ) = 22 s1 = 13997562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10569669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244479, s2 = 10569670, int(edited[s2]) = 0 s1 = 11244479, s2 = 10569670, d1 = 21, d2 = 18 Dl.O(d1) = 258089701,47614952,37690001,29128004,21821181,15754705,10910893,7216016,4546645,4546644,7216014,10910889,15754697,21821165,29127973,29127975,37689953,29127981,29127982,37689944,38039339,29476416,22139495,16022355,16022356,22139498,29476421,38039347,33966322,33966319,43024023,53503553,65529161,73537086,60789989,49389349,39461017,39461013,30856392,30856389,39461005,49389334,60789967 Dl.O(d2) = 73537065,60789971,49389337,49389336,258220865,87155343,78865298,65529158,53503550,257843855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244479, s2 = 10569670, dlinesl.size( ) = 18 s1 = 11561017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11561017, s2 = 11597026, int(edited[s2]) = 0 s1 = 11561017, s2 = 11597026, d1 = 0, d2 = 17 Dl.O(d1) = 232800152,266343813,235929878,236793369 Dl.O(d2) = 237579257,274803656,239103130,239103129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11561017, s2 = 11597026, dlinesl.size( ) = 34 s1 = 12038637, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11471633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471633, s2 = 11544370, int(edited[s2]) = 0 s1 = 11471633, s2 = 11544370, d1 = 15, d2 = 8 Dl.O(d1) = 207970848,212742971,216645190,264644938,265107374 Dl.O(d2) = 265487342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471633, s2 = 11544370, dlinesl.size( ) = 18 s1 = 14255667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10576157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10576450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10982301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10982301, s2 = 11362950, int(edited[s2]) = 0 s1 = 10982301, s2 = 11362950, d1 = 39, d2 = 6 Dl.O(d1) = 254264645,254583235 Dl.O(d2) = 31099996,23616287,23616288,256502703,49798182,61277743,74057999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10982301, s2 = 11362950, dlinesl.size( ) = 46 s1 = 12038751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11674266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637665, s2 = 14155776, int(edited[s2]) = 0 s1 = 11637665, s2 = 14155776, d1 = 31, d2 = 35 Dl.O(d1) = 267531440,246540431,246615591,267550614 Dl.O(d2) = 246615588,267541348,267559328,246626993,267559330,246391685,246391684,246474120,246391681,246304469,246304470,246391684,267521116,246378144,246289940,267470916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637665, s2 = 14155776, dlinesl.size( ) = 28 s1 = 14071749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11476735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476735, s2 = 13834804, int(edited[s2]) = 0 s1 = 11476735, s2 = 13834804, d1 = 43, d2 = 20 Dl.O(d1) = 199271399,205507046,205507055,210665492,214879387,218346647,221260403,221260412,218346586,214879319,210665433,205507019,199271383,199271384,205507020,210665436,205507039,199271396,191901244,191901242,199271398,205507043,210665472,210665476,214879366,274126952,218346581,221260406,264587458,210665475,205507045,205507046,205507055,210665492,214879387,218346647,221260403,221260412,218346586,214879319,210665433,205507019,199271383,199271384,205507020,210665436,205507039,199271396,191901244,191901242,263658486,210665471,214879361 Dl.O(d2) = 221260463,221260427,218346601,218346600,221260412,218346586,214879319,210665433,205507019,199271383,199271384,205507020,210665436,210665465,214879353,218346621,221260444,223756544,223756530,221260420,265060060,221260406,221260432,221260431,221260457,218346640,214879378,210665482,210665481,214879375,218346605,264835536,214879312,210665464,205507038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476735, s2 = 13834804, dlinesl.size( ) = 14 s1 = 11531237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531237, s2 = 12815493, int(edited[s2]) = 0 s1 = 11531237, s2 = 12815493, d1 = 5, d2 = 9 Dl.O(d1) = 224209798 Dl.O(d2) = 215532072,218910251,221762339,224209796,221762343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531237, s2 = 12815493, dlinesl.size( ) = 2 s1 = 11531237, s2 = 12815493, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11531237, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 14140409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140409, s2 = 14130024, int(edited[s2]) = 0 s1 = 14140409, s2 = 14130024, d1 = 16, d2 = 15 Dl.O(d1) = 224888018,223290418,223290419,225536543,227490270,225536549,223290423,220691945,217637262,217637263,217637260,217637259,220691942,223290419,225536543,227490270,225536547 Dl.O(d2) = 213976673,209517122,204081890,197567375,189916330,181042860,170927848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140409, s2 = 14130024, dlinesl.size( ) = 2 s1 = 14140409, s2 = 14130024, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14140409, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14130023, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12345700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11520611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11520611, s2 = 10596027, int(edited[s2]) = 0 s1 = 11520611, s2 = 10596027, d1 = 15, d2 = 17 Dl.O(d1) = 265580338,191944032 Dl.O(d2) = 162556853,150427888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11520611, s2 = 10596027, dlinesl.size( ) = 18 s1 = 11340103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340103, s2 = 15227074, int(edited[s2]) = 0 s1 = 11340103, s2 = 15227074, d1 = 51, d2 = 31 Dl.O(d1) = 262358845,178078012,187315301,263985573,208007380,212773304,265048813,222628994,224970765,265624054,216670779,219901945,222571325,219838037,216599632,216599633,265247077 Dl.O(d2) = 219901942,265588108,216599628,212693291,207914617,202115656,195216406,187145364,273148448,261795780,40068312,31385774,31385775,40068314,50089577,61569628,74346504 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340103, s2 = 15227074, dlinesl.size( ) = 46 s1 = 11538739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538739, s2 = 11566462, int(edited[s2]) = 0 s1 = 11538739, s2 = 11566462, d1 = 15, d2 = 16 Dl.O(d1) = 265407538,231153628 Dl.O(d2) = 266008956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538739, s2 = 11566462, dlinesl.size( ) = 18 s1 = 12345788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484031, s2 = 11555756, int(edited[s2]) = 0 s1 = 11484031, s2 = 11555756, d1 = 0, d2 = 21 Dl.O(d1) = 212677954,216585700 Dl.O(d2) = 265896463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484031, s2 = 11555756, dlinesl.size( ) = 26 s1 = 10606218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11675881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11675881, s2 = 11315430, int(edited[s2]) = 0 s1 = 11675881, s2 = 11315430, d1 = 2, d2 = 5 Dl.O(d1) = 212886783,216771963 Dl.O(d2) = 262376380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11675881, s2 = 11315430, dlinesl.size( ) = 12 s1 = 12039545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111277, s2 = 11260988, int(edited[s2]) = 0 s1 = 14111277, s2 = 11260988, d1 = 35, d2 = 28 Dl.O(d1) = 153390618,165194147,175902460,185392840,193675114,200776109,264492157,211718102 Dl.O(d2) = 261956594,260851814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111277, s2 = 11260988, dlinesl.size( ) = 30 s1 = 11386513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11386513, s2 = 14136727, int(edited[s2]) = 0 s1 = 11386513, s2 = 14136727, d1 = 17, d2 = 8 Dl.O(d1) = 263112078,130351801,116515379,260753003,102419895 Dl.O(d2) = 263994019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11386513, s2 = 14136727, dlinesl.size( ) = 2 s1 = 11386513, s2 = 14136727, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11386513, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 12345992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11442089, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442089, s2 = 236549, int(edited[s2]) = 0 s1 = 11442089, s2 = 236549, d1 = 80, d2 = 82 Dl.O(d1) = 263629366,180990791,170871308,262480534,261447664,260285578,259042854,61577990 Dl.O(d2) = 18323034,13006522,8855073,5771418,3595203,3595202,5771416,8855071,13006520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442089, s2 = 236549, dlinesl.size( ) = 2 s1 = 11442089, s2 = 236549, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11442089, Dl.E( ) = 84, 2.5e-05 seconds used appending s1 = 10620735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10620735, s2 = 11407046, int(edited[s2]) = 0 s1 = 10620735, s2 = 11407046, d1 = 12, d2 = 1 Dl.O(d1) = 212963449,264147702,195672446,195672447,202498608,208233728,212963457 Dl.O(d2) = 187693435,262855021,156687158,261344611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10620735, s2 = 11407046, dlinesl.size( ) = 16 s1 = 14139119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14139119, s2 = 7589456, int(edited[s2]) = 0 s1 = 14139119, s2 = 7589456, d1 = 124, d2 = 98 Dl.O(d1) = 265777891,230505393,265808780,265945016,232049389 Dl.O(d2) = 70413069,83939185,97798257,258625435,46369350,36510938,268641028,4250577,6781008,10309738,14977220,10391042,6848551,4297367,2569221,1479202,836148,836149,1479206,2569226,4297376,4260839,4260840,6795442,10047992,6602804,6602803,6848509,6848508,9069319,7471283,4721563,4721561,254775173,6746153,4227150,2527559,2527556,4227144,3708566,2220925,2220922,1478244,1288290,735514,418183,418179,236614,130531,130500,130499,236551,419183,737508,1292151,2227974,3720850,5949935,5955696,5955699,6840083,4291814,2565970,2565968,4228156,2528109,2528107,4228150,6747767,10268499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14139119, s2 = 7589456, dlinesl.size( ) = 36 s1 = 10623558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10623558, s2 = 14027354, int(edited[s2]) = 0 s1 = 10623558, s2 = 14027354, d1 = 33, d2 = 20 Dl.O(d1) = 63970136,60509976,268713756,39175479,44550998,44550999,40234972,31549040,24045456,17692999,17693002,24045467,31549053,40234987,50254400,40811300,40811299,47452517,37544631,37544632,47452519,44550970,256226793,20186430,14483226,14483225,255751057,35173246,256647597,29597505,28258186,22248405,18891867,13462943,9206605,6027406,3770779,2259314,1311325,1311324,2259311,3770761,6027361,9206515,13462822,15463097,15463094,15124731,10432059,10432055,15124717,21056283,25491076,18887069,18887068,22398509,16237587,11288784,7495070,7495069,11288777,15704572,21759658,21759659,22396139,16237884,11288999,11288998,16236080,11287860,11287856,11190424,7424967,4691945,4691947,7424978,6877601,4317255,2582044,1487607,841718,474705,474706,841723,1487619,2582081,4317328,4221557,4221559,6737471,6737469,10253626,10429166,6875856,6875858,6876032,6877157,6877154,10431518,15123909,16238040,16238042,22399144,20924546,20924543,28100296,21049708,15119795,15119792,17431411,17431408,23758630,28253036,28253035,28250093,21049785,21049781,15119882,15119844,15119845,21049786,28250095,36745703,28253057 Dl.O(d2) = 6876072,10429579,14912085,20807066,22399713,20806698,20806696,27969732,22399697,18083800,12820579,8716646,5673981,5673977,8716631,12820561,18083774,24510583,24508705,18079847,18079844,24508697,18084944,18084948,24509060,22399249,18083373,12821429,8717166,8717171,12821444,18084123,12820804,8716828,8716826,12820867,18084212,18083451,12820350,8716536,5673944,5673943,8716530,12820335,18083426,24513278,21051120,15120848,15120849,21051127,26994435,20103739,14414199,14414200,20103743,14414278,9913454,6514900,4082059,2442417,2442418,4082061,6514904,9913464,14414294,20103914,26994620,35079318,31135040,23647363,17330502,255550423,31135042,31591081,24087411,24087412,24160437,29182736,36746059,40856960,32085508,24511633,24511632,24102345,24102344,29586188,29586189,25683036,25683037,24511254,24511255,20209929,20209926,23553211,17244623,17244620,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,23883858,25697589,19071949,13615625,9323131,9323133,13615587,15181752,15181749,17010617,11924544,7978477,7978476,11924542,17010612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10623558, s2 = 14027354, dlinesl.size( ) = 8 s1 = 11138583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079627, s2 = 11510404, int(edited[s2]) = 0 s1 = 14079627, s2 = 11510404, d1 = 33, d2 = 39 Dl.O(d1) = 257860376 Dl.O(d2) = 265002111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079627, s2 = 11510404, dlinesl.size( ) = 40 s1 = 11505335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11505335, s2 = 14194993, int(edited[s2]) = 0 s1 = 11505335, s2 = 14194993, d1 = 66, d2 = 23 Dl.O(d1) = 265012566,194391196,186200792 Dl.O(d2) = 154797009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11505335, s2 = 14194993, dlinesl.size( ) = 20 s1 = 11477347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477347, s2 = 11531962, int(edited[s2]) = 0 s1 = 11477347, s2 = 11531962, d1 = 5, d2 = 15 Dl.O(d1) = 210793444,214996209 Dl.O(d2) = 265193424,230999902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477347, s2 = 11531962, dlinesl.size( ) = 18 s1 = 11344785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11344785, s2 = 11300466, int(edited[s2]) = 0 s1 = 11344785, s2 = 11300466, d1 = 28, d2 = 1 Dl.O(d1) = 273093400,164113832 Dl.O(d2) = 126121447 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11344785, s2 = 11300466, dlinesl.size( ) = 44 s1 = 12040189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12040231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11483951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11792513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12040487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12040517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048285, s2 = 10652004, int(edited[s2]) = 0 s1 = 11048285, s2 = 10652004, d1 = 11, d2 = 2 Dl.O(d1) = 19156170,17357454,17357455,15507903,15507904,21518944,15507814,15507813,21518942,21519020,15507865,10725084,10725083,255017492,28782172,21518881,15507774,15507775,255810148,28782195,37318131,256299120,21518911,28782206,37318148,37318263,256874747,37318265,28782325,28782326,37318269,258065513,58620547,257315640,29244351,29244350,37808662,43927580,34680214,34680216,43955298,256763934,26662801 Dl.O(d2) = 268967790,47692520,37771032,37771033,30601533,23182840,16917624,11839945,7912791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048285, s2 = 10652004, dlinesl.size( ) = 6 s1 = 12040541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11585999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585999, s2 = 14167589, int(edited[s2]) = 0 s1 = 11585999, s2 = 14167589, d1 = 21, d2 = 31 Dl.O(d1) = 266403264 Dl.O(d2) = 238036952,274789376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585999, s2 = 14167589, dlinesl.size( ) = 34 s1 = 14167590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14152134, s2 = 15045530, int(edited[s2]) = 0 s1 = 14152134, s2 = 15045530, d1 = 15, d2 = 12 Dl.O(d1) = 241270032,267069469,242090644,267143489,242791568,243104877,243398509 Dl.O(d2) = 267263941,243398510,243398507,267263939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14152134, s2 = 15045530, dlinesl.size( ) = 12 s1 = 11792625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10663439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10663439, s2 = 11197614, int(edited[s2]) = 0 s1 = 10663439, s2 = 11197614, d1 = 0, d2 = 15 Dl.O(d1) = 38668713,48584767,59976470 Dl.O(d2) = 86310321,100271846,259039326,258412266,114296791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10663439, s2 = 11197614, dlinesl.size( ) = 16 s1 = 11468987, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468987, s2 = 11280296, int(edited[s2]) = 0 s1 = 11468987, s2 = 11280296, d1 = 24, d2 = 0 Dl.O(d1) = 273557364 Dl.O(d2) = 100350651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468987, s2 = 11280296, dlinesl.size( ) = 30 s1 = 12346518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14119345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119345, s2 = 14051137, int(edited[s2]) = 0 s1 = 14119345, s2 = 14051137, d1 = 26, d2 = 25 Dl.O(d1) = 165399194,153618888,140952367,260269590,119938788,105703318,105703319,91478830,77547555,257788379,42147502,33188126,33188127,269080113,77547556 Dl.O(d2) = 47115933,58494296,71216195,84785132,84785133,98713016,259309037,71216197,58494299,47115936,37218586,28693488,255404399,10679704,10679708,15446790,21442428,28693387,26943856,26943857,35024644,30043547,28693632,28693241,21442244,15446671,15446672,21442246,28693244,37218264,47115535,47116211,37218857,37218858,47116212,58494616,71216460,84785354,258682207,58493752,47115452,257447261,71215634,58493829,58493830,71215754,79134783,79134782,71215613,58493739,47115446,47115447,49033249,49033251,60437228,71215690,71215689,84784778,98712804,98356878,98356877,98356876,111706106,97783988,97783987,104640677,99916893,85959388,85959390,93250089,79134794,79134793,83925338,74761447,61961499,50465600,50465604,50139916,40119126,40119125,50139914,50139920,61621580,74400276,61621554,50139899,50139898,61621552,63538808,63539218,51760503,51760502,51760531,41490041,32610523,24946015,18431438,18431437,24946009,32610516,41490031,51760513,63539232,76618790,90477107,76618785,76618784,76618544,63538944,51760212,41489766,41489768,50139871,50139869,41490251,41490250,51760703,63513214,76591887,76618287,63538653,268477474,51735601,63513199,76591647,76591646,63513001,63513002,76591698,77748207,90448973,76591684,63512989,52664326,52664325,64565140,77748078,90449008,76591738,63513050,51735494,41466682,41466679,51735488,63513037,76591728,90448999,77748008,64565053,52664247,52664248,64565055,77748010,64565335,64565334,63527905,63527904,64565251,71215956,71215955,64565313,64565314,52664499,52664500,63527916,71215889,58493977,47115612,47115614,52664462,47115689,47115691,58494057,63513030,68137295,81627215,77748050,64565097,52664277,42277009,42277007,42276964,42276965,41480459,41480458,51749845,63527971,64565402,63527961,51749840,51749839,63527954,64565219,64565086,52664272,52664260,42276998,33295866,33295864,32602443,24939593,24939592,32602437,41480425,51749800,63527907,76607332,72525868,72525867,71854967,59117165,47719788,37799144,37799145,47719791,59117168,71854970,81627119,68137301,55739404,44831564,35406154,35406153,28693309,21442280,15446685,15446686,255835759,37218379,47115695,47719804,47719803,44831586,35406180,255871952,23969125,23969124,31464743,40148249,50173581,47719896,37799243,37799242,47719894,59117299,71855060,257747800,258098453,257488438,255871947,21918592,29236377,256908637,59117192,71854994,81627116,81627088,71854976,59117172,59117173,51749820,51749821,61961217,59791034,48406517,255062818,22575057,16392315,11408765,10047805,10047806,14602349,20344953,27280431,35406162,44831574,50465627,50465628,61961523,68137272,55739433,55739432,59117175,50465595,44831409,40427547,31733413,24224855,17853120,17853122,24224858,31733417,40427558,50465321,61961229,57725532,46375216,46375217,40427791,31733559,31733558,40427789,44831497,35406093,27280389,27280387,35406089,31733446,31733447,31733428,24224865,24224866,31733433,40427585,50465332,40427568,40427569,31733547,31733536,24224918,24224919,17853158,268197406,17853191,254482978,5578272,5578271,8584652,12643309,17853180,24224961,31733603,40427866,50465736,61961633,74761510,88395205,88395231,88395230,88395258,258626310,74761473,67874818,67874819,81341614,257488048,61961424,61961425,74761387,85435845,88395122,102395594,88395217,88395218,88395131,270918851,61961160,50465272,50465273,61961164,74761205,74761396,74761397,73388639,73388640,60655754,60655755,68137243,81627192,95660233,109863704,102395645,88395225,87004161,73388655,60642176,49241423,49241422,268934666,87004158,80337024,80337025,94391837,99377132,85435848,71850369,59112265,256908240,61538748,71850804,59112687,49241416,39328371,39328370,49255144,60655756,49255147,49255148,60642161,60642159,73388635,60787340,60787341,73534821,74315345,72060221,72060222,60787487,49386621,39458435,39458436,49386626,60655374,49254685,49254684,60655370,73401857,60787378,49386520,39458358,39458357,49386517,47711156,37790211,268934581,37794187,37794188,47715002,59109031,71847607,60787318,49386466,49386464,39458453,30854181,23423406,17146265,12050412,8101602,8101603,12050417,17146276,23423419,30854204,39458499,49386675,49386674,60787538,60787424,49386564,39458395,30854145,30854144,39458393,49254855,49386546,60787402,58161065,58161064,58443317,47067027,47067028,47067031,257603561,39328124,30729934,256478287,30729865,23311422,17049210,17049211,23311431,255976701,39328055,49174183,257023129,39328111,46958562,39328129,39328128,49254837,49255036,49386702,39458493,39458492,37790172,29228134,21911875,21911879,268627163,256907896,30730074,30730073,33750776,33750777,42781499,53232624,49255075,49255076,39328420,39328421,49255193,257487759,37790165,37790164,37790189,37790159,37078206,37078209,46958582,37078199,28574585,21346000,15370850,10620894,7009374,7009372,10620888,15370832,21345969,28574540,37078154,46958540,37790119,29228094,29228093,37790115,37790292,47711215,41924426,41924425,52262794,258045850,37174159,28656038,268613441,47066802,47067129,37174479,28656248,21412629,21412607,21412606,28656207,37174265,37174264,47066922,37174521,28656288,21412653,15423616,10662313,7041486,4431126,2659893,2659892,4431121,7041474,10662286,15423572,21412556,28656110,26028850,19351792,19351793,26028856,28656115,28656114,37174284,47066935,47711064,47066978,268934138,28276104,28276103,36771656,46656562,37174429,28656204,21412604,21412602,28656196,37174413,47067078,47067021,37174366,37174363,47067012,256906196,37174201,37174202,47066857,58443208,257485904,61933053,50442337,50442336,61933051,71651281,71651234,71651235,268408216,71651302,71651303,261552357,55273403,256742595,35051889,30583837,23165914,16903196,16903195,23165913,30583834,257011485,257729313,255226161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119345, s2 = 14051137, dlinesl.size( ) = 2 s1 = 14119345, s2 = 14051137, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14119345, Dl.E( ) = 28, 1.79e-05 seconds used appending s1 = 12041009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14047117, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10675843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16346993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11347009, s2 = 11033574, int(edited[s2]) = 0 s1 = 11347009, s2 = 11033574, d1 = 12, d2 = 10 Dl.O(d1) = 258670100 Dl.O(d2) = 256317594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11347009, s2 = 11033574, dlinesl.size( ) = 20 s1 = 10681094, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10681094, s2 = 11609984, int(edited[s2]) = 0 s1 = 10681094, s2 = 11609984, d1 = 4, d2 = 6 Dl.O(d1) = 244313993 Dl.O(d2) = 243303716,243303712,243002776,242681631,242336995,241965007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10681094, s2 = 11609984, dlinesl.size( ) = 8 s1 = 10681212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10681212, s2 = 14048066, int(edited[s2]) = 0 s1 = 10681212, s2 = 14048066, d1 = 34, d2 = 39 Dl.O(d1) = 63888024,52330143,41990314,41990313,40305722,37945608,29380618,29380619,37945610,41756538,32835403,25130077,18577219,13201872,13201873,18577222,25130082,32835411,40305725,50331802,60731459,73479501,73479500,66866975,54608902,48760114,38840686,256988355,54600023,43856628,257284799,66858182,66859036 Dl.O(d2) = 52070302,41756537,32835403,25130077,18577219,13201872,13201871,13341136,18740665,25318813,33046825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10681212, s2 = 14048066, dlinesl.size( ) = 26 s1 = 11066701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066701, s2 = 10689250, int(edited[s2]) = 0 s1 = 11066701, s2 = 10689250, d1 = 32, d2 = 34 Dl.O(d1) = 269409413,88259883,264297021,212803566,216697920,265139196,211710284,273676932,263030240,175891087,272780218,71925997,71925998 Dl.O(d2) = 254690868,7282189,10608382,6999622,4398937,3541571,2108482,1214557,1214560,2108498,3541682,2185237,2185236,2235705,2185254,2185252,3653758,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,9393241,255034971,16786127,16786126,254690832,24575633,254472218,10631319,10631318,15383986,15391656,15391658,13160448,8970496,5856106,3655528,3655523,5856035,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,12727573,8648324,5624896,5624891,8648310,12727548,254316650,12995183,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257657,3768012,6022947,9199250,13451797,254441972,26643463,25333237,25333238,33062276,26997127,21448896,21448897,28701171,25891396,25354571,18772417,256120543,21968913,21318414,15347603,12870678,11004748,11004744,13789455,18876585,14416894,9915435,6516200,6516197,9915423,14416869,9915614,9915613,13799559,14417311,16855083,16447509,16447508,22635351,25354528,18772345,18772344,255746904,21439005,15443802,10677214,7052593,7052594,10677216,15443533,10676984,7052374,4439112,2665855,1543509,876966,494655,494653,491019,275774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066701, s2 = 10689250, dlinesl.size( ) = 30 s1 = 12041415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14167760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10690480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14003621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10692694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15286526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553385, s2 = 12222892, int(edited[s2]) = 0 s1 = 11553385, s2 = 12222892, d1 = 11, d2 = 12 Dl.O(d1) = 274693051,237392687,266657548 Dl.O(d2) = 239959737,240481642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553385, s2 = 12222892, dlinesl.size( ) = 14 s1 = 13705210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11681199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11681199, s2 = 11182166, int(edited[s2]) = 0 s1 = 11681199, s2 = 11182166, d1 = 18, d2 = 2 Dl.O(d1) = 87583223,73982621 Dl.O(d2) = 61203163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11681199, s2 = 11182166, dlinesl.size( ) = 8 s1 = 11383807, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11463425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463425, s2 = 14118164, int(edited[s2]) = 0 s1 = 11463425, s2 = 14118164, d1 = 5, d2 = 0 Dl.O(d1) = 199380992,192022729,183468837,183468836,192022728,264136667,205606369,199381002 Dl.O(d2) = 137514802 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463425, s2 = 14118164, dlinesl.size( ) = 34 s1 = 12346870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11290873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11290873, s2 = 6913557, int(edited[s2]) = 0 s1 = 11290873, s2 = 6913557, d1 = 62, d2 = 61 Dl.O(d1) = 261955515,170471681,180610184,189515878,197211411,203775466,203775467,209255436 Dl.O(d2) = 100267842,86306102,260028798,30086734,256973467 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11290873, s2 = 6913557, dlinesl.size( ) = 18 s1 = 12042031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10714797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10715258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11203103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234387, s2 = 11354912, int(edited[s2]) = 0 s1 = 11234387, s2 = 11354912, d1 = 0, d2 = 16 Dl.O(d1) = 93507661,107944964 Dl.O(d2) = 262676338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234387, s2 = 11354912, dlinesl.size( ) = 28 s1 = 14099333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14099333, s2 = 11404962, int(edited[s2]) = 0 s1 = 14099333, s2 = 11404962, d1 = 36, d2 = 1 Dl.O(d1) = 259645362,53190628,42741095,42741098,258444217,260317239,134875151,134875150,147995788 Dl.O(d2) = 147995791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14099333, s2 = 11404962, dlinesl.size( ) = 26 s1 = 14056917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11146019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146019, s2 = 14100878, int(edited[s2]) = 0 s1 = 11146019, s2 = 14100878, d1 = 3, d2 = 28 Dl.O(d1) = 59188130 Dl.O(d2) = 259914192,261094482,127340668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146019, s2 = 14100878, dlinesl.size( ) = 30 s1 = 12042301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11173797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11173797, s2 = 11039244, int(edited[s2]) = 0 s1 = 11173797, s2 = 11039244, d1 = 32, d2 = 26 Dl.O(d1) = 269322514,260501583 Dl.O(d2) = 258184378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11173797, s2 = 11039244, dlinesl.size( ) = 36 s1 = 11099669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099669, s2 = 7909392, int(edited[s2]) = 0 s1 = 11099669, s2 = 7909392, d1 = 39, d2 = 52 Dl.O(d1) = 42091536,52443080,259026271,260249429,90868603,76990461,257764323 Dl.O(d2) = 256326296,35230053,28539696,26999180,26999181,28539710,37038354,46916013,42056099,33107000,33106998,33107117,42056248,52400244,48648757,38727580,38727581,48648758,46995109,37109847,28601083,21367798,21367797,28601080,37109840,46995098,48648742,38727572,30146073,30146072,33107006,33107005,42055996,33106922,25371897,25371896,33106920,42055993,42055998,33106924,25371899,18787493,13381463,13381462,18787491,25371895,33106918,42055991,37811431,29246704,21926461,21926462,22812898,16594843,11573786,11573784,14437119,14437120,20129530,23192121,29471381,29471382,38034176,38174525,38174526,30572554,23154795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11099669, s2 = 7909392, dlinesl.size( ) = 28 s1 = 14142163, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11285569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285569, s2 = 14158932, int(edited[s2]) = 0 s1 = 11285569, s2 = 14158932, d1 = 8, d2 = 15 Dl.O(d1) = 101932684,101932683,260126193,269874745,61580860 Dl.O(d2) = 40080214,31399320,31399321,268997433,17562951,254853391,1954340,1116476,1116475,1954322,1954321,3322685,5404462,8374145,5408207,3324778,3324776,5408200,8380276,12384159,12407230,12407226,12384321,12384320,11968413,11968410,17060328,17161756,12492534,8461209,5467016,5467017,8283066,8283063,5395323,5395322,6055527,8359021,8359018,12370448,14449361,10590139,6985967,4389693,4389694,6985973,10590152,15333419,17562001,12391086,12391088,17562010,17616649,17616650,17568896,12397185,12397184,16084109,15280312,15280311,17411876,12270922,8286326,8240810,8240812,12209738,15802778,15802781,14543451,11244824,10569155,8363932,8363933,12377399,8369506,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383067,12395216,12666765,11618603,8376686,7680102,7680101,11543899,255936617,38749179,48670883,60067190,257656073,258265025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285569, s2 = 14158932, dlinesl.size( ) = 18 s1 = 12042643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12042643, s2 = 11483570, int(edited[s2]) = 0 s1 = 12042643, s2 = 11483570, d1 = 29, d2 = 1 Dl.O(d1) = 262829103 Dl.O(d2) = 200477578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12042643, s2 = 11483570, dlinesl.size( ) = 42 s1 = 10737986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10737986, s2 = 11683319, int(edited[s2]) = 0 s1 = 10737986, s2 = 11683319, d1 = 13, d2 = 0 Dl.O(d1) = 265724040 Dl.O(d2) = 192292934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10737986, s2 = 11683319, dlinesl.size( ) = 18 s1 = 10741830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10743614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138641, s2 = 11136852, int(edited[s2]) = 0 s1 = 14138641, s2 = 11136852, d1 = 12, d2 = 3 Dl.O(d1) = 274481647,265264212,178640196,168304498,263280557 Dl.O(d2) = 89173696,75426180,62507187,50906710,40789926,32032921,24470547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138641, s2 = 11136852, dlinesl.size( ) = 18 s1 = 11497391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11497391, s2 = 11501442, int(edited[s2]) = 0 s1 = 11497391, s2 = 11501442, d1 = 17, d2 = 0 Dl.O(d1) = 265458541,274468805,224564431 Dl.O(d2) = 216070149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11497391, s2 = 11501442, dlinesl.size( ) = 20 s1 = 11042339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042339, s2 = 11311960, int(edited[s2]) = 0 s1 = 11042339, s2 = 11311960, d1 = 33, d2 = 11 Dl.O(d1) = 22776120,22776121,28753661,23715495,23715496,17558281,17558280,23893694,31389492,25576973,18968321,18968320,16897738,16897739,23159037,30576055,31391624,40073236,50094131,58540893,71272529,268615382,101925604,115885493,115885494,129783808,115885496,115885495 Dl.O(d2) = 155748405,145606901,132360532,259472474,76356085,63324791,51601222,271000705 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042339, s2 = 11311960, dlinesl.size( ) = 28 s1 = 12042985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15218109, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10762734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11452021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452021, s2 = 10769321, int(edited[s2]) = 0 s1 = 11452021, s2 = 10769321, d1 = 72, d2 = 23 Dl.O(d1) = 193666927,185383728 Dl.O(d2) = 60261699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452021, s2 = 10769321, dlinesl.size( ) = 20 s1 = 11553869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553869, s2 = 11601660, int(edited[s2]) = 0 s1 = 11553869, s2 = 11601660, d1 = 0, d2 = 37 Dl.O(d1) = 231316675,274631367 Dl.O(d2) = 266793463,238832655,238832656,239438378,239438375,239438374,239998052,274862517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553869, s2 = 11601660, dlinesl.size( ) = 48 s1 = 11274695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12347538, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12347538, s2 = 11613704, int(edited[s2]) = 0 s1 = 12347538, s2 = 11613704, d1 = 1, d2 = 5 Dl.O(d1) = 243532024,243532025 Dl.O(d2) = 243796614,243532028,243532022,243532023,243796603,243796610,243532026,243246966,242941905,242614911,242263029,241883081,241471259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12347538, s2 = 11613704, dlinesl.size( ) = 2 s1 = 12347538, s2 = 11613704, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12347538, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 14159361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159361, s2 = 8121533, int(edited[s2]) = 0 s1 = 14159361, s2 = 8121533, d1 = 50, d2 = 66 Dl.O(d1) = 261863684,261297531,155783798 Dl.O(d2) = 140028280,126675126,112818144,98827055,84900501,84900500,260751328,116500300,116500299,130337061,143662523,140028280,126675126,112818144,98827055,84900501,84900500,98827053,258914862,140028279,261321984,178232682,261321982,164561323,152723151,140028280,126675126,112818144,98827055,84900501,84900500,98827053,258914862,260153982,126675126,126675127,130337062,116500300,116500299,126675124,112818143,98827055,84900501,258064001,47203073,268616079,255039187,21502131,256332143,26247508,19530261,19530262,26247511,34111474,34986216,34986215,44363997,39352603,30752281,30752282,39352607,39352611,30752284,30752283,39352609,49279272,255228540,77056630,74727355,61933806,61933807,74727356,70388108,70388109,70983183,58268192,46902302,46902301,257146842,63088806,51396726,51396725,63088842,76089692,89891003,76089657,63088801,63088802,76089658,84546327,88355524,81558325,68068138,68068137,81558320,256594478,257733420,112458655,269943504,84643505,71081165,71081164,84643504,76089644,76089643,89890993,77056648,63942620,52121993,52121992,63942617,71266165,58534430,47146142,37240845,37240844,44758078,44758077,41806703,41806704,52121970,268014326,255625170,35330046,27204771,20276967,255758221,21367721,267963200,7019970,7019971,10634416,15388026,254499518,267963161,20276953,20276954,27204755,27204765,20276961,20276960,27204763,21314241,15343728,10598408,10598409,15343730,255825125,37035522,37035518,28537267,21314239,21314238,28537265,36499504,36499503,256858856,35330039,35330040,44758069,257929777,46953816,37073655,28570659,256317701,28600902,28600901,37109611,37024567,37024566,34104969,26241518,256179697,43190700,46994806,46994807,46994863,58364950,268612386,37109617,37109668,28600936,21367669,15387989,254499510,254731685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159361, s2 = 8121533, dlinesl.size( ) = 44 s1 = 12043649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10780784, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10780784, s2 = 10780767, int(edited[s2]) = 0 s1 = 10780784, s2 = 10780767, d1 = 1, d2 = 12 Dl.O(d1) = 231792975 Dl.O(d2) = 266677429,238955978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10780784, s2 = 10780767, dlinesl.size( ) = 12 s1 = 12043737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11231389, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11276653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10806699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10806699, s2 = 10806720, int(edited[s2]) = 0 s1 = 10806699, s2 = 10806720, d1 = 3, d2 = 1 Dl.O(d1) = 240582150 Dl.O(d2) = 239722651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10806699, s2 = 10806720, dlinesl.size( ) = 28 s1 = 11657627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657627, s2 = 11646432, int(edited[s2]) = 0 s1 = 11657627, s2 = 11646432, d1 = 18, d2 = 11 Dl.O(d1) = 257110592,29670566,29670565,38235920,48145918,273123361,113911909,127786383,141143181,153816159,165597363 Dl.O(d2) = 130132798,255469242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657627, s2 = 11646432, dlinesl.size( ) = 20 s1 = 15143870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15143870, s2 = 14133494, int(edited[s2]) = 0 s1 = 15143870, s2 = 14133494, d1 = 27, d2 = 1 Dl.O(d1) = 221338118,221338117,265339549,223826679 Dl.O(d2) = 214974657,210769782,205621932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15143870, s2 = 14133494, dlinesl.size( ) = 28 s1 = 11184867, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11128087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11064597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064597, s2 = 14101099, int(edited[s2]) = 0 s1 = 11064597, s2 = 14101099, d1 = 22, d2 = 33 Dl.O(d1) = 255933053,16527938,268229490,12635698,12635697,17843445,12637879,8580561,5575024,5575022,8580556,12637868,17846293,19860648,26678315,28315047,29720166,22363998,16210415,16210417,19839685,14213127,14213128,19839205,19839204,26652783,22590433,16407894,16407896,11960774,8006805,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,16568755,16566504,16566501,17846046,14088418,14088421,19655091,14093254,9760237,6417314,4025915,2412516,2412515,4025911,6417301,9691464,6374511,6374514,9691475,12029460,17118061,19654237,14087776,14087774,19654233,21483167,17317234,17317233,255408278,39800303,49821084,61300843,74082093 Dl.O(d2) = 74082097,258688392,259934548,142906129,142906122,129590416,115704586,101660672,101660671,101660675,115704588,129590422,260535714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 11190161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10832293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10832293, s2 = 10832275, int(edited[s2]) = 0 s1 = 10832293, s2 = 10832275, d1 = 19, d2 = 12 Dl.O(d1) = 268688675,8537469,254869999,12523791 Dl.O(d2) = 259134798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10832293, s2 = 10832275, dlinesl.size( ) = 18 s1 = 11376809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11376809, s2 = 11283894, int(edited[s2]) = 0 s1 = 11376809, s2 = 11283894, d1 = 62, d2 = 34 Dl.O(d1) = 273103079,184857663,262725996,185330250 Dl.O(d2) = 258858058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11376809, s2 = 11283894, dlinesl.size( ) = 36 s1 = 14042631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14042631, s2 = 11235032, int(edited[s2]) = 0 s1 = 14042631, s2 = 11235032, d1 = 12, d2 = 8 Dl.O(d1) = 254105724,17465629,17465628,23798019,31284134,254267550,23677673,23677672,19161575,19161579,25809463,33607589,36943141,28443575,21217677,15249036,10519887,10519888,15249037,21217679,23811630,17477771,17477770,23811628,23767532,21204494,15238595,12293117,12293116,17439498,23767490,31251924,39927334,49944948,254401056,37463083,28923534,268439418,36883377,255694778,255252498,28923455,25931238,25931239,33738046,37880713,255252484,15888153,11013860,7291022,7291021,11013858,15888149,256884037,28923646,28923647,36883881,36883927,28387464,21169053,21169052,23017046,16776755,11729766,7830965,7830964,11729763,16776749,23017034,17947616,12717904,255207613,24337595,255290112,11122823,7377529,7377528,5619884,3491232,2073842,2073840,3491228,5619879,8641193,12717691,254619729,3491284,3491291,5619723,5619722,8640929,12717310,8641105,8641106,12717547,12717739,8641235,5619908,5619910,7018227,7018229,10632111,12225925,17354970,23674598,24337454,17947483,17088774,12001246,12001247,12717408,17947102,24337124,24337834,24337251,24337253,31714777,24337808,17947774,12718012,12717970,12717968,17390560,17947817,24337028,17947004,12717344,8640950,8640949,12717341,12717443,12717934,12717933,17390582,256644081,13434514,9185205,6011710,3759940,3759941,6011713,9185208,13434521,254649967,6011676,9185152,13434520,18855805,13434511,13434512,18855807,13434558,9185173,9185174,13434416,13434417,13434504,9185143,254921579,18855793,25454501,33201221,33201358 Dl.O(d2) = 256644075,258680052,15422015,15422016,255833027,27265522,20330615,256240183,33881396,42927391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14042631, s2 = 11235032, dlinesl.size( ) = 14 s1 = 14117235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14117235, s2 = 11347784, int(edited[s2]) = 0 s1 = 14117235, s2 = 11347784, d1 = 89, d2 = 58 Dl.O(d1) = 273774849,225273101,227262679,229000846,230534734,231900209,233129702,266463931,234241413,234241412,235252105,236172407,235252115,234241420,233129696 Dl.O(d2) = 262196560,149430304,136179141,122214818,107808672,257472886,34206369,34206368,269142801,270069245,259951511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14117235, s2 = 11347784, dlinesl.size( ) = 76 s1 = 12045275, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11359503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359503, s2 = 11238084, int(edited[s2]) = 0 s1 = 11359503, s2 = 11238084, d1 = 17, d2 = 0 Dl.O(d1) = 262755461,186165947 Dl.O(d2) = 77260200,258227454,32985817,25262367,18690900,257181247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359503, s2 = 11238084, dlinesl.size( ) = 28 s1 = 11139493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139493, s2 = 11317714, int(edited[s2]) = 0 s1 = 11139493, s2 = 11317714, d1 = 28, d2 = 43 Dl.O(d1) = 261611003,163557545 Dl.O(d2) = 273435768,262443308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139493, s2 = 11317714, dlinesl.size( ) = 30 s1 = 11047683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047683, s2 = 11181090, int(edited[s2]) = 0 s1 = 11047683, s2 = 11181090, d1 = 44, d2 = 47 Dl.O(d1) = 255251517,9100794,5954625,5954624,9100793,12325373,255562317,13731506,9406790,6163028,5930763,267809431,2220782,2221612,1288751,1288750,268486790,268739281,15349212,13489422,9229092,6117474,6117472,6194044,6194042,9447853,268338704,1413304,1413306,2444310,254690019,9412921,9412922,6167217,6167218,9164667,13350820,9123109,5969755,3733316,3733317,5969758,9123115,13350827,13052317,8891768,5800421,255630839,256602071,51591057 Dl.O(d2) = 109861005,95657936,81624895,68135025,256943350,44829541,38257144,29691706,22338983,22338981,22338982,263153647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047683, s2 = 11181090, dlinesl.size( ) = 56 s1 = 10867262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11177011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11177011, s2 = 14020392, int(edited[s2]) = 0 s1 = 11177011, s2 = 14020392, d1 = 19, d2 = 31 Dl.O(d1) = 255974342,55331004,60157279,256548142,17814948,24183306,254864592,255580928 Dl.O(d2) = 74628093,61835838,255510942,31635481,24128473,24128474,27230548,27230549,29745428,29745427,30419751,29745440,22386149,254087430,7488731,4732668,2851513,1654572,267735178,4732662,7488718,11281206,12174012,8205961,5276919,3230856,1894726,1894725,3230854,5276917,8205959,11363496,7549633,7549634,11363500,16332798,17255247,12135361,12135362,17255252,23566570,23605389,17292353,17292355,22389168,16230206,11282856,7489844,7489842,11282849,16230197,22389158,17587889,12414604,8390921,8390922,12414606,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,7103593,7103595,10752119,15546357,13851515,9502209,7545262,4772167,4772166,7545258,11351556,11351558,7545209,7545210,5280957,5280953,6232525,6232522,9502138,9502135,13851379,16230824,11283422,11283421,8076116,8076115,7543826,4771462,4771463,7543834,11353857,15546069,21568261,22484856,22389703,22389704,17287027,17287028,22494585,22494586,16321642,11737893,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17587923,21568541,17235635,12117301,8148267,5220158,5220157,8148262,12117293,17235618,22475128,22481824,22481823,22475103,22475102,22481831,29847553,38416650,31147171,31147170,39401045,30797866,30797867,256503834,29349145,22263273,16122807,16122806,21295091,254183020,28517767,254266148,16308872,11347187,7540203,7540202,10588328,15330686,11343796,7538407,7538409,11343786,16303449,22473144,22475524,16305310,15977824,11091742,11091744,15977831,16737166,11693454,7798790,7798785,11693434,11693498,11693487,7798802,4967312,4967308,7826045,7824988,4966545,2999704,2999701,4966529,7824953,11722392,16768640,15329855,10587869,10587868,15329850,268381245,39732168,37015397,255442546,37918422,37016169,37016170,46895222,39703772,254356964,254356966,17238118,17238117,23545695,29871197,22512069,22512070,22529365,16356715,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556145,11373848,16346053,12196514,8226774,5297280,5297281,8226781,11730365,9928692,9928693,14433824,16350109,20125632,14433801,9928679,7561478,4781313,4781315,7561482,11381248,15544534,15544535,21566777,16342032,16342031,22515484,17288010,17288012,12211752,8242538,8242537,12211747,16331707,12217211,8247512,5319305,3268156,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16320599,11354559,7544203,4771659,2876324,1669566,950045,950044,1669560,2876313,3722667,5952674,9098168,13317647,18710804,21102937,22390646,16327371,11359165,11359166,16327364,16327362,22501628,22501797,22494529,17327138,16315235,11352015,7542786,7542787,11352018,16316632,22489572,21997189,21997188,29327176,29857335,38423314,37016743,28518374,21297435,21297437,28518378,23360604,23360605,17287045,17287044,23545334,254832420,16306429,22476970,16315482,11351325,7542443,4770772,4770771,254781655,16315477,16317581,11352613,11352612,11353255,7543492,7543493,7543508,7543523,7543522,7356054,4646727,2799002,1623667,1623665,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091406,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,23586090,22475499,22475496,23008623,29855433,22490495,22490496,22471157,22471158,22472944,16303283,11343700,11343699,16303278,22472935,21101777,21101776,28312131,27998354,20834128,20834127,27998353,23544186,268250470,29350022,29840753,29840755,29843602,23566547,17272951,17272950,254586606,16357556,22530158,17272857,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,7104522,10753525,15548180,21570593,23589541,254582160,21093593,22020108,16337881,11367453,7560659,4780812,2880973,1671775,1671777,2880978,4088348,6525079,9928453,11380113,7560633,7560634,11380117,16349093,16344551,11372662,7555374,4777657,2879335,1670983,1670982,2879330,4777648,7555354,11372625,11276373,11276372,16221116,254521158,29809507,254761438,17265409,17265410,14432126,14432128,20123832,17278027,17278028,17317815,17317780,12192984,8223272,8223274,12192989,11655558,11655557,16346527,21567884,15545687,15545688,17333385,12208144,12208143,8245690,5317266,5317268,8245698,10752415,10752411,10752409,7288960,7288957,11010709,12172383,17293539,16326466,11358470,11358466,16326469,22500675,17323212,12198330,12198333,11143475,7391352,4669657,2813412,2813413,4669663,7391370,11143502,8229435,8229436,12198465,17294698,12173480,12173482,17294705,22512434,22512435,23566695,18724614,18724615,23574838,17263324,17263325,23574840,23629169,17313232,12188867,12188866,17313229,23594708,17319476,12194630,8224876,5295280,3246375,1905549,1087895,610806,610807,1087897,1905555,3246391,5295316,8224939,12194759,8242028,8242029,12194591,12211311,12211312,17337156,16231308,16231307,12211330,11283903,11283900,11287398,11287403,12146362,10750973,10750969,11362557,11362558,16331631,22505507,23929779,28940119,254579258,40031510,254264310,17514325,17514326,23857496,31351194,39827455,31145170,31053422,29748890,254394814,31119386,23632739,17316756,17316757,16314416,11350666,11350667,15067675,10391200,10391201,15067677,20979434,28158833,23014827,16775027,11728542,11728541,16775026,23014810,16775014,16775012,23014802,27230644,27230645,29745415,38314116,39008967,30419744,30419745,35353734,27230577,27230578,35353736,41710369,32794155,31112583,23626117,17310433,12186342,12186341,11683108,7790651,4939526,2980672,1730290,983647,553762,309889,309890,553765,983652,1730297,2980690,4939555,7790703,11683187,14524679,14524680,256232333,270835346,55485664,67826938,81292944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11177011, s2 = 14020392, dlinesl.size( ) = 30 s1 = 10979783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979783, s2 = 10868497, int(edited[s2]) = 0 s1 = 10979783, s2 = 10868497, d1 = 26, d2 = 29 Dl.O(d1) = 254209573,1353557,254457333,4797015,255479485,8826709,12968124,18272098 Dl.O(d2) = 254974645,6507559,4077929,2439925,2439922,4077920,3091377,3091380,5093618,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979783, s2 = 10868497, dlinesl.size( ) = 30 s1 = 14295027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14295027, s2 = 8008423, int(edited[s2]) = 0 s1 = 14295027, s2 = 8008423, d1 = 20, d2 = 0 Dl.O(d1) = 126108992,139480649,139480639,126108984,112253091,98273419,84364847,84364848,98273421,261078561,152210130,152210129,272826819,126108997,126108998,261630333,262635359,152210150,152210151,164098230,164098229,174923119,262150789,139480635,139480633,152210125,262635363,262635360,164098255,174923120,273093880,152210139,152210138,152210142,139480644,139480640,139480641,152210137,164098240,174923131,184534378,184534374,174923116,164098227,164098228,174923117,184534376,174923134,174923133,184534380,184534381,192927700,192927713,200126892,206205920,211232219,211232303,206206024,200127023,192927886,184534646,262635407,164098508,263079335,192927891,200127027,206206031,264715607,211232302,264715601,264455082,206205923,206205924,263841215,192927887,264165255,211232310,264950729,264715597,211232296,215338921,264950717,221596366,218732225,218732226,215338998,215338999,264950720,215338989,218732224,221596433,265356429,218732218,218732219,221596431,264950733,211232312,211232311,264950731,215338977,274180705,211232300,215338986,215338981,211232287,274085105,215338983,211232293,264165251,200127016,206206009,211232295,264715599,206206018,206206017,264165247,192927876,192927875,200127014,206206007,211232289,215338982,211232299,206206019,206206020,211232286,264715595,206206012,273697457,184534616,184534615,264165249,264165253,192927878,184534619,174923370,174923369,184534618,174923379,263079331,184534623,174923373,164098482,152210352,262150825,174923375,174923234,174923235,174923361,174923394,174923396,184534638,184534594,174923342,164098451,152210325,152210324,164098448,155955504,143417283,130089363,116182035,102124750,102124751,116182041,130089365,143417291,155955513,272905841,155955448,152210310,152210309,164098362,152210236,152210235,262635375,184534526,273697453,174923383,174923384,178033393,263079333,174923403,178033455,262356223,155955517,155955516,143417292,273367344,263079325,164098394,152210269,139480759,126109080,126109079,126109116,139480804,152210313,164098437,174923330,164098500,152210366,139480850,126109152,126109153,139480856,152210371,164098506,174923252,164098348,164098349,164098352,152210241,139480736,126109064,126109066,139480727,126109057,112253146,112253145,126109052,139480702,262150795,152210254,139480787,126109101,126109098,139480677,130089288,116181985,102124715,102124714,116181984,261078564,143417288,130089364 Dl.O(d2) = 11575335,7704769,4876234,2938194,2938197,4876241,254244241,1704055,2938623,4876932,7705873,255115339,16596652,16596653,16600377,22815267,16596649,11575041,11575042,16596651,20208782,17188966,12086478,11684023,254354138,254774562,8119376,12074461,12074457,12074458,17172756,23448780,17697115,12516837,8479659,8479660,12516840,17697119,16941644,11857029,11857028,16941587,11856998,254546142,5037421,7924229,11857000,16941592,23213250,17687378,16595627,12720918,12720917,15206309,11241147,11241144,16173744,22318781,29670029,30636350,23213473,16941745,255523437,24130032,17766668,12572663,8526801,5525417,3411899,3411898,5525416,8526799,12572620,17766606,24050780,24050779,30783711,31637208,31637209,39462304,30857454,23425999,23426000,29483946,22145791,17001379,11914775,7970092,7970091,11914773,17001375,23265085,17754227,12562390,255194205,24115255,31620654,256942012,49328015,50253141,40233586,31547593,24044133,23361976,17093212,12006340,12006341,17093214,23361981,17766706,12572688,12572687,17766705,24130081,31637197,24241493,17865694,12651712,12651711,255579901,12510726,12510725,17689061,24041019,31544411,31545905,24044729,17692382,12513422,255190653,255075090,15979624,12513340,12513339,12513417,17692378,24044602,24044601,268404643,16221462,11276636,255090629,22085836,15979619,11093135,11093137,15979621,255075094,11093146,7356943,4647277,2799319,2799318,4647275,7356939,11093142,255448721,24043418,17691143,12512422,12512423,17691144,22427607,22427608,22085963,17689930,12511540,12511539,268226009,16228539,17690022,17043867,11956761,11956760,8476501,7485671,4730564,2850177,1653723,940733,530465,530464,940731,1653715,2850168,4730545,7485609,8475416,12510721,12510047,8474912,8474913,12510049,17688318,17688526,16260782,16260781,17687010,17687003,12508908,8474029,254409293,1983522,1132969,1132970,1983514,3370757,3371330,1983829,1133140,635558,352699,193134,105379,57913,57912,105374,193122,352675,635514,1133071,1983641,3370995,5478046,8474670,11249493,7467562,7467564,7467552,5478026,5478024,5478250,5478249,5479789,5479787,8477437,12513548,17692531,24044891,256333156,16962419,16962418,22952862,26120321,26120322,21713981,21713982,28998946,35321157,27197652,27197653,35321159,37015104,46894753,268649383,30208032,30208075,22816394,22816395,254618436,22863142,24300420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14295027, s2 = 8008423, dlinesl.size( ) = 22 s1 = 14168534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168534, s2 = 10997748, int(edited[s2]) = 0 s1 = 14168534, s2 = 10997748, d1 = 11, d2 = 5 Dl.O(d1) = 61907837,74701345,88329110,102324948,116417627,119182171,116417625,104987243,102324947,88329109,88329110 Dl.O(d2) = 256493174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14168534, s2 = 10997748, dlinesl.size( ) = 12 s1 = 11690514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658089, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14161180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11205861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205861, s2 = 14161179, int(edited[s2]) = 0 s1 = 11205861, s2 = 14161179, d1 = 23, d2 = 21 Dl.O(d1) = 83977418,261055303,125574109,138907599 Dl.O(d2) = 258004799,83977403,83977405,261055301,262834974,257678036,23723099,272614510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205861, s2 = 14161179, dlinesl.size( ) = 24 s1 = 11440867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440867, s2 = 11173612, int(edited[s2]) = 0 s1 = 11440867, s2 = 11173612, d1 = 25, d2 = 17 Dl.O(d1) = 273888211,265243347,215192935,211035176,273858328,263064931,263830103,184061552,262619349,151685530,138981097,138981098,151685532,138981099,138981100,151685534,163565733,163565723,163565724,174407277,163565738,163565737,273538916,261611433,272514371,163565727,174407278,184061551,174407282,163565732,262619347,263124430,261058411,261611445,138981096,151685516 Dl.O(d2) = 262133007,151685536,138981101,125642912,125642911,125642903,125642902,138981093,151685518,138981083,125642890,111827993,111827992,125642886,111827999,259258845,57790617,46435476,46435475,258007991,84025803,97895292,111827997,125642895,261611437,163565730,151685542,138981106,138981107,125642914,261058415,262133011,163565723,163565724,174407277,163565738,262684530,111828004,111828012,260479385,138981107,125642914,111828013,97895302,84025810,70491277,57790618,46435477,257481378,10344661,10344657,15016526,255792769,36570869,46435433,57790568,70491234,58295298,58295299,71010230,58295300,58295301,53240795,42789560,255717586,25950760,33758675,28212762,21019308,15096642,10411884,10411885,15096643,21019310,256828341,53069222,48037699,38124456,29558926,256390419,258745857,51807118,268398552,18450452,13106645,12550677,268630756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440867, s2 = 11173612, dlinesl.size( ) = 2 s1 = 11440867, s2 = 11173612, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11440867, Dl.E( ) = 26, 9.78e-06 seconds used appending s1 = 11251507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251507, s2 = 11340180, int(edited[s2]) = 0 s1 = 11251507, s2 = 11340180, d1 = 11, d2 = 13 Dl.O(d1) = 100841006,100841003,100841002,114890983,128786549,142139589,142139595,128786554,261237951,142139589,154771735,262360550 Dl.O(d2) = 128786553,128786552,142139592,154771737,166476962,177058212,186414098,194569100,201555052,207435543,212284567,216246617,219530949,222305243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251507, s2 = 11340180, dlinesl.size( ) = 14 s1 = 11393333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393333, s2 = 5291626, int(edited[s2]) = 0 s1 = 11393333, s2 = 5291626, d1 = 62, d2 = 45 Dl.O(d1) = 173295593,183140680,191745858,264122827,210578201,265134357,265448878,221212533,221212523,218287907,218287908,221212524,221212522,221212521,223717353,223717351,223717350,221212528,221212529,223717353,223717351,265264182,218287900,214807495,214807494 Dl.O(d2) = 219490915,262938938 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393333, s2 = 5291626, dlinesl.size( ) = 2 s1 = 11393333, s2 = 5291626, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11393333, Dl.E( ) = 66, 1.69e-05 seconds used appending s1 = 11098427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098427, s2 = 9557269, int(edited[s2]) = 0 s1 = 11098427, s2 = 9557269, d1 = 74, d2 = 17 Dl.O(d1) = 32832882,27079131,20181993,14481831,14481833,20184898,27083087,267919280,44549460,254980292,65227909,257317102,30292816,33230649,25481997,268378700,31706438,24198933,17829686,12624822,12624823,255177966,23439135,30867644,254595474,13516814,13516815,13532576,17617599,17617598,23967667,17913972,12691649,8621817,8621816,254735734,8386036,7844117,4979182,3007742,3007741,4979178,4584680,2758302,1599039,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391534,17562543,23906343,22878253,22878254,17410285,12269731,8285588,5345243,3285048,254184345,619246,344083,344084,619248,1103611,1930861,1930865,1103171,1103170,1931006,3281410,3281405,5338216,8273110,257639017,37928916 Dl.O(d2) = 128269132,272226739,154275453,166028083,261758531,141619673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098427, s2 = 9557269, dlinesl.size( ) = 68 s1 = 14090125, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15205774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11412537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412537, s2 = 11654820, int(edited[s2]) = 0 s1 = 11412537, s2 = 11654820, d1 = 21, d2 = 0 Dl.O(d1) = 274530771,225200590 Dl.O(d2) = 188355614,262883328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412537, s2 = 11654820, dlinesl.size( ) = 42 s1 = 12046427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10918409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11228901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228901, s2 = 11243450, int(edited[s2]) = 0 s1 = 11228901, s2 = 11243450, d1 = 14, d2 = 10 Dl.O(d1) = 255651288,254643540,13312014,9092801,9092800,13312012,10791982,7130025,4488666,4488665,7130022,10275576,6752897,4231461,2530011,1457994,825465,466128,466129,825471,1458005,2530033,4231502,6752966,10275669,10052706,8659586,5633168,3500801,3500799,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442095,4081284,6512880,9909404,14407123,20094371,21218884,15250043,10520583,7083894,7083898,4858469,4486836,4486835,3826782,3826784,6116139,6116199,6116197,9337549,10785660,8335452,8335453,12338413,10269812,6748757,6748759,10269819,14933089,16134703,20831428,20831426,15630682,15630683,21666595,28135773,21616843,21616844,19333982,16141529,15928626,15928627,17202522,12097163,12097161,17202511,21954193,255175110,260822469,112360188,258982366,36957458,256114616,17943707,12715051,8639344,8639340,12715017,8639328,5618598,3490411,2073247,2073245,3490401,267917323,12714961,17943566,24332153,31852158,40550405,270407685 Dl.O(d2) = 254910590,25828827,21627153,20826286,14927951,10265121,6745247,6745245,9797935,6440692,6440694,6752495,254848766,20838752,28003488,33805550,27974256,27974255,36433150,38679256,38679255,37439335,37439336,43122080,46475909,36609885,28136130,28136129,33805552,27988877,20824274,20824275,21624693,15594012,10787632,10787631,15594010,256882195,258073101,83966989,83966988,97827216 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228901, s2 = 11243450, dlinesl.size( ) = 16 s1 = 12348872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12348872, s2 = 15589770, int(edited[s2]) = 0 s1 = 12348872, s2 = 15589770, d1 = 22, d2 = 25 Dl.O(d1) = 257001510,99046848 Dl.O(d2) = 257647686,98771564,112761498,259503124,130168781,116329819,259705706,88237278,74607031,257238462,257541370,12560133,256035759,40305195,34313700,34313701,43414848,37244469,37244468,40282993,34696343,26701753,20987073,15074439,10397315,6853790,6853789,10397312,15074433,20987065,21711320,21711321,28995964,23548880,17241016,12124084,8155692,5226049,3188057,3188058,5226043,8155684,12124071,17240997,23548853,23548848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12348872, s2 = 15589770, dlinesl.size( ) = 12 s1 = 14015312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14015312, s2 = 10929255, int(edited[s2]) = 0 s1 = 14015312, s2 = 10929255, d1 = 19, d2 = 14 Dl.O(d1) = 26964751,20080274,14397309,9903052,254974855,20080271,269490556,55266774,67608295,67608231,55266691,55266692,67608233,55266703,55266702,67608243,81076331,67608232,67608233,55266703,44419357,35045006,26964692,20080232,255742701,26964686,35044999,35045001,35045000,257765000,26964696,35045013,44419367,55266687,55266688,55266768,55266767,67608291,81076332,67608252,55266707,44419361,35045008,26964693,20080232,255742701,20080226,20080227,268548027,35044997,44419344,55266692,67608233,55266703,44419357,44419358,55266693,55266694,67608234,259156921,81076374,81076373,67608294,67608295,67608231,55266691,55266692,67608233,55266703,44419357,44419358,55266693,55266694,67608234,81076334,95134921,95134946,81076375,81076376,81076361,259156927,95134936,95134925,95134924,81076366,67608278,55266749,55266748,258157646,44419396,35045044,35045043,44419394,39143537,39143536,44419378,256424854,26964743,255327765,14397308,20080268 Dl.O(d2) = 255485742,35045032,26964712,20080246,14397296,14397297,255105658,20080253,16866896,16866895,23126704,26964710,20080245,14397296,14397297,9903047,9903046,14397301,16866896,16866895,23126703,30545031,39143533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14015312, s2 = 10929255, dlinesl.size( ) = 2 s1 = 14015312, s2 = 10929255, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14015312, Dl.E( ) = 22, 7.15e-06 seconds used appending s1 = 11511771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511771, s2 = 13299922, int(edited[s2]) = 0 s1 = 11511771, s2 = 13299922, d1 = 29, d2 = 38 Dl.O(d1) = 218580732,218580733,221469639,221469684,265347831,264940399,264442899,263463159,163448907,151566008,138863557,125531271,111725002,259252051,258001731,256274901,20879847,20879848,255788005,14977861 Dl.O(d2) = 36512190,28048070,20879858,14977863,14977860,14977859,20879852,28048062,28048057,28048056,28048054,28048053,36512188,46371113,57721509,70416577,70416578,70416576,64573945,52673817,42287579,33307519,33307520,25545895,18933091,13497660,13497659,18933089,25545892,33307518,33307517,42287578,33307522,33307521,42287574,52673811,258414043,64573938,52673813,52673814,64573941,77756515,91683425,91683422,91683423,105890343,120101762,133943610,147166085,159525503,170854211,263724959,189807371,184339516,174724013,163914342,152051839,152051840,262632421,262498736,159452854,147077839,147077840,159452855,170791692,273236363,180920407,170791971,262934259,263348927,197470735,203995099,203995100,197470736,189807521,180920402,170791966,159453149,147078036,260904916,137261642,260310488,137261642,260310488,133833271,260904918,147078038,147078035,261975931,147077889,147077888,263348804,260872779,147077919,159452977,147077970,261975927,159453046,159453045,170791793,159452958,150302191,150302190,159453150,150302194,150302195,162437889,173479885,170791902,159453238,159453237,170792048,180920422,180920297,180920296,180920302,189807452,189807454,189807389,180920209,170791848,159453013,147077941,133833303,119965877,105730230,91505889,77575002,64407134,64407133,77574995,91505873,260277047,133833333,147077986,147077976,147077974,159453064,272986651,147077889,147077888,159452931,273236365,180920234,170791760,261975919,133833268,133833267,147077891,159452932,262474669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511771, s2 = 13299922, dlinesl.size( ) = 36 s1 = 10937914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10993061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11659795, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14053953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14053953, s2 = 10750899, int(edited[s2]) = 0 s1 = 14053953, s2 = 10750899, d1 = 28, d2 = 45 Dl.O(d1) = 257157115 Dl.O(d2) = 515685,515684,913856,515813,515814,914059,599380,333956,183744,100705,100706,183755,289254,289251,288923,159935,88049,88048,159928,288947,514900,912589,913470,515433,289260,289261,515440,913350,913204,913201,913437,1606000,913893,515707,289419,160189,160188,289413,515695,913873,914011,1606762,2767466,3372857,1984752,1133769,912345,912346,1604366,1606448,1502623,1502622,1604593,912499,912496,1604586,1066347,1066346,1869287,1869309,1869311,2680599,2680598,4461984,4599753,2767399,1604327,912324,514728,514729,514857,912521,943634,532210,298521,298523,532218,943652,1658456,2769650,254346373,2769736,2769738,1632011,928090,928089,1632005,2813067,4603813,2928031,1698437,1698439,2928040,254350659,2812790,254350723,4469086,2684956,1555294,1555293,1555440,884336,884339,927969,523035,293151,293153,523046,927988,899086,899084,951464,1581477,1606157,913556,515485,515483,913549,884285,498995,498997,523057,298691,298690,532486,927831,1555422,2685140,1632051,1632049,2813124,2729154,1581207,898855,523135,293187,162149,162147,293181,523126,928134,1632099,2813183,4540519,2729902,1581806,899263,884274,884275,1555335,1631801,1011586,1011587,1631712,1631711,1011577,1011576,1774554,1631780,927916,927920,1631790,2685090,1555392,884313,498987,279840,154464,84660,84661,154472,279860,319355,522970,927847,1631679,1775090,1775088,1672545,951488,951489,1672550,1011967,928073,523097,523096,928065,1631973,254251779,1011660,570237,319399,176627,97150,97151,176629,319392,254102783,1011650,254174653,3047377,254375801,1774500,1774501,1686625,1637654,1637652,1775146,1012067,570472,570471,1012065,254251837,1134279,636441,636439,1134274,1011931,570399,570400,1011937,1133609,958588,958589,1686002,2906570,2812254,2812255,1774846,1011792,570328,570327,570320,570319,353513,193849,105968,105965,193841,353168,353184,532278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14053953, s2 = 10750899, dlinesl.size( ) = 18 s1 = 12349154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13158694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13158694, s2 = 6029, int(edited[s2]) = 0 s1 = 13158694, s2 = 6029, d1 = 14, d2 = 6 Dl.O(d1) = 34204,19551,11186,11185,19586 Dl.O(d2) = 64465,64472,64471,64061,64060,68915,127192,231038,410590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13158694, s2 = 6029, dlinesl.size( ) = 2 s1 = 13158694, s2 = 6029, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13158694, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 376293, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13158734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12385980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13159996, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13160830, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13161060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13161060, s2 = 7880057, int(edited[s2]) = 0 s1 = 13161060, s2 = 7880057, d1 = 9, d2 = 7 Dl.O(d1) = 263113610,58765817,71495652,59580300,255850802,16208781,12654016,8591367,5582423,3463605,2054112,2054114,3463623,5582459,255385200,12597318,8548225,6162246,6162245,9405537,9405523,9405522,13729724,19220442,25879583,20821623,20821622,259865408,3808368,2281301,1328104,254114011,243355,134494,73102,73097,73400 Dl.O(d2) = 39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73041,73594,39779,39776,73578,135292,254094391,761865,1334057,2299196,3814267,2284853,2284851,2278339,1321286,1321283,2278335,3803532,3813880,2284561,1325126,1325127,2284565,2277431,1320680,1320682,2276946,2276948,3801351,254348718,22386389,16228122,11281343,7488790,4732714,2851557,1654611,254072048,7488786,11281334,16228106,22386369,29745623,37931861,29365475,268630091,12390199,8372991,5403794,3322314,3322317,5403799,5423186,5423134,3333829,3333828,5423132,8404294,12408048,12408047,12382974,12381174,8366387,8366389,11545877,11545878,10555471,6961837,6961838,10555477,12435173,12435171,17547167,12377377,12254262,8276027,5339945,3282248,1930455,1930454,3282242,5339932,8276003,8365853,5399448,5399447,8365864,254727800,8286806,8286807,12271633,12264464,12264465,9323431,7417827,7417828,11179993,12317945,8320287,5368884,3300674,3300676,5368899,8320325,12318025,17471880,23707756,29578540,22230926,16096383,16096382,22230923,29578537,38144737,48057902,46852632,39888760,31210381,23731286,23731287,23700603,23700601,254496114,16560497,16560496,11825334,7902848,7902845,11825328,16897861,16897874,23159187,23894858,23894870,17548967,12378866,8364841,8364839,12269095,13516308,9248828,6057264,3790149,3790150,6057270,9248845,13516352,13516411,18953073,17236396,17236397,23544485,23882745,31379753,23917607,23917606,31191746,31191748,28149105,20970857,15060768,15060769,20970836,22214078,23700255,20971826,20971827,20971047,15061656,10386365,6844847,6844848,10386368,9250007,9250006,13517827,18954410,23728590,23728587,22770251,16556224,12265905,254223872,17403324,23727242,255025298,23717484,17393797,12257604,12257606,17379655,23702070,31191637,39873846,39873786,31212530,23727384,23727383,29467901,29467902,38030437,47944324,39884190,36830580,28334191,23716178,17392390,17392389,17562710,17562711,17575739,12403894,12403893,17575737,23917614,23702192,20974762,20974761,23885577,17539082,12370751,12370753,16649792,17412976,12271759,267970452,4121682,2669516,1546041,878654,495554,495553,878651,267825279,29971971,22606926,16423870,11439909,11274231,7484076,7484075,11274229,14086585,16400198,16400197,22001352,15901488,11023807,11023808,15901493,16241752,11291737,11291739,9688681,6373015,3999083,3999082,5574394,5574395,5246348,5246346,8176653,9650545,14036263,15885774,21981138,19819859,14197276,9759576,9759581,11090160,11090162,15975757,18292776,24248128,22582583,16400146,16400144,12655410,12655407,16400745,16400748,22583264,29946234,30171193,22782547,16566944,16566946,22782382,16566997,11548355,7683052,4861309,2929394,1699196,1699194,2929386,4861292,7683027,11548313,11548209,7682958,4861258,2929372,2929371,4861253,7086791,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,7357223,6376242,6376243,9694706,8088609,8088608,12031650,17121027,14902823,11548560,11548558,12030751,12029727,8087404,5181641,3161512,1850790,1056272,593912,331088,182315,100015,100017,182328,331131,594006,1056449,1851117,3162192,5182994,8089929,9970706,9970708,14491329,19065811,13611213,13611214,19065818,16854570,11787732,7871128,7871129,11787724,16569279,16569282,16916181,17121561,17121564,14943586,10278150,6754905,6754906,7392866,4670568,2813946,2813945,4670564,4670523,4670522,4670539,7392801,11145883,254627658,5767788,5767786,8849808,9564390,6276338,5898466,3684306,2205467,2205469,3682752,3682754,3680373,3618022,2160507,2160509,2160309,2160311,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737227,2992381,4956729,7802759,7802762,11698555,11700213,7836170,7836169,10653956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13161060, s2 = 7880057, dlinesl.size( ) = 8 s1 = 7880056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880056, s2 = 13161059, int(edited[s2]) = 0 s1 = 7880056, s2 = 13161059, d1 = 21, d2 = 7 Dl.O(d1) = 1598621,267970453,665681,665683,1185094,2064779,3479199,5603721,8619516,6947152,6947153,9676919,14071032,18967282,13531698,13531700,15291174,10556179,6962283,4374226,4374227,6962286,10551422,15285850,17164872,23438997,30867546,36622500,28473216,25579285,18971090,13535876,13535875,18971087,21241538,21241541,21249746,15283963,15283962,21249742,21251029,255025299,6958861,4372210,254223873,857357,857356,1512037,1512040,2619055,4371843,4376038,4376037,6965382,10560646,6969833,4378656,4378657,6969840,6969822,6969823,10567144,10540125,6951112,6951110,10540120,15078086,15295215,13327866,13327863,13993373,10542061,6952424,4368523,4368526,6952434,8108395,12059512,15303077,18509805,19833899,15265852,11746822,11746824,15259466,15272751,15272742,15272743,15273022,10546145,10546146,6958497,4371979,4368535,4368537,6952454,10542103,15265096,15296426,10560974,6965608,4376170,2621256,2621257,254496115,10560982,12068402,8115308,8115307,6961337,4373713,4373712,6961336,10554726,15289445,19834130,14208520,14208521,19834133,15267271,10534576,10534575,10527943,6943334,6943333,4370178,2618205,2618204,4370147,6955333,10546324,7442609,7442608,10574166,15310689,21251476,15286331,10551880,10551879,254727801,6974046,9259597,6064645,6064644,6973307,4380685,4380683,2623543,1514178,1514179,2623548,4380720,6973351,10572195,15308732,15287905,10553293,10553292,6960450,6960449,8107146,8107147,8108936,8115933,8115931,6062852,6062850,9257169,13526159,17165507,15283752,15283751,21249583,21259018,21259017,17563165,13513898,13513895,18950548,25562404,22034976,268630090,2790098,1618683,920691,519158,291119,161079,88571,254072049,15411,27216,48697,88575,161089,291137,519191,254348719,7331696,9415483,9375423,9375421,6217413,6141841 Dl.O(d2) = 2312834,3822056,6108143,6168922,6260589,254114010,1358994,1358993,2346126,259865409,14930192,14930193,17194351,12090525,8130699,5209172,5209173,5211592,8134281,5953696,3723258,3723263,255385201,10498524,6922806,4349116,4349114,6922696,6922698,6922879,7140465,7140464,255850803,37471462,47378583,58765818,263113611,193337189,274186842,265705851,224251901,266219249,266506428,261316910,254709197,2546295,4259291,6793312,4464546,4464542,7090630,10731606,15125751,21057609,28258706,34617529,26995975,26995974,28795322,21530139,21530138,28795320,37332823,29753688,22393173,22393172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880056, s2 = 13161059, dlinesl.size( ) = 8 s1 = 13162560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13162560, s2 = 13189679, int(edited[s2]) = 0 s1 = 13162560, s2 = 13189679, d1 = 19, d2 = 15 Dl.O(d1) = 254432245,2140957,254143479,394031 Dl.O(d2) = 219636,254110567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13162560, s2 = 13189679, dlinesl.size( ) = 2 s1 = 13162560, s2 = 13189679, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13162560, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 13165710, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13165710, s2 = 15175073, int(edited[s2]) = 0 s1 = 13165710, s2 = 15175073, d1 = 8, d2 = 47 Dl.O(d1) = 731183,731185,1278157,2160440 Dl.O(d2) = 10869236,15701115,19851666,19581552,14028951,13075120,13075119,18407938,14222310,14222308,19851659,25621575,19007243,13565442,13565441,19007241,25621571,33387170,42375908,52774888,64689071,77878674,91800951,105995511,120196179,120196178,120196201,120196202,105995509,91800950,91800949,91800965,91800964,105995533,260312916,105995500,120196188,134029662,145356850,134029712,259709650,105995542,260885671,147246743,134029670,120196203,120196204,134029660,134029661,147246742,159602625,262018820,147246799,134029722,134029721,147246797,147246727,134029643,120196169,120196170,261452365,147246779,159602645,159602687,147246832,147246775,147246774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13165710, s2 = 15175073, dlinesl.size( ) = 32 s1 = 15968594, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14028739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10142194, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13165258, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14850847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12386528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179696, s2 = 11166914, int(edited[s2]) = 0 s1 = 13179696, s2 = 11166914, d1 = 44, d2 = 35 Dl.O(d1) = 19541806,13992621,9612492,254083058,2369941,2369939,3957279,5743391,3849541,3849539,2370310 Dl.O(d2) = 160156327,171375992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179696, s2 = 11166914, dlinesl.size( ) = 2 s1 = 13179696, s2 = 11166914, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13179696, Dl.E( ) = 48, 2.1e-05 seconds used appending s1 = 13180788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13188738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13188738, s2 = 66246, int(edited[s2]) = 0 s1 = 13188738, s2 = 66246, d1 = 25, d2 = 14 Dl.O(d1) = 9588555,254905361,8969742,13159542,18521091,13824160,13824161,13159540,8969740,6384340,4006022 Dl.O(d2) = 767232,767227,1344185,2317209,2317210,3868555,3949174,3950169,3950168,255710261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13188738, s2 = 66246, dlinesl.size( ) = 26 s1 = 6537662, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6537662, s2 = 13188737, int(edited[s2]) = 0 s1 = 6537662, s2 = 13188737, d1 = 12, d2 = 13 Dl.O(d1) = 255710260,9212954,6031845,3773493,2708150,2708155,2708683,2708684,2708592,2708598,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124 Dl.O(d2) = 28125923,34045888,33273346,25512888,18902778,13471250,13471251,18902780,25512891,254905360,43121352 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6537662, s2 = 13188737, dlinesl.size( ) = 20 s1 = 13189232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13192310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12386926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13192616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12386940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12387006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15223939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13199742, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13205954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13205954, s2 = 7990534, int(edited[s2]) = 0 s1 = 13205954, s2 = 7990534, d1 = 7, d2 = 13 Dl.O(d1) = 32670801,268463352,25004801,18478275,254903435,5840074,8947068,8712546,8712551,11643320,12812839,8718553,5675050,5675052,8718435 Dl.O(d2) = 8718290,12823226,18073381,18073380,18470530,13122223,8943961,8943962,13122225,18470533,24994606,32670803,39728424,31049552,24262043,24262041,22393250,16233461,16233458,17885721,12668615,8603280,8603282,12668601,17885683,21763002,26007371,26007287,26007286,29568476,22222025,22222022,21941910,21941908,26627589,26626993,19816029,14194443,9757909,6416055,4025287,2412203,1396180,794294,794291,1396162,2412146,4025176,6415860,9757567,14193921,17254005,23565301,31049671,39728548,49747643,50534676,40499458,40499459,34002467,26160710,26160711,28327948,28327949,32997834,25273257,18700980,18700981,25273261,22233165,22233164,29580882,38146983,46665055,46665056,48585654,257418930,44769998,44769999,39299719,39299718,49226708,268448762,33710887,33699518,25893512,19233886,19233885,25893508,33699513,42729221,34664453,26671471,19854726,19854725,20962800,15053238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13205954, s2 = 7990534, dlinesl.size( ) = 10 s1 = 12387258, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13208152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13208152, s2 = 13191771, int(edited[s2]) = 0 s1 = 13208152, s2 = 13191771, d1 = 9, d2 = 4 Dl.O(d1) = 254411713,6127223 Dl.O(d2) = 9426746,6176835,6176837,7141008,7141010,10807031,7251213,4572615,4572610,7251195,10955689,15809731,21886056,16295904,11338161,11338163,11949247,7998793,7998791,11949245,15597526,10790032,254505971,4487967,7128811,10790030,12638457,8580911,5575193,3458365,3458366,5539378,5539377,254608975,3408581,2011029,2011030,3408583,5519350,7899556,5020820,3038552,3038551,255134899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13208152, s2 = 13191771, dlinesl.size( ) = 14 s1 = 13208616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12387284, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13209556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12387320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13212062, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13212062, s2 = 13290825, int(edited[s2]) = 0 s1 = 13212062, s2 = 13290825, d1 = 16, d2 = 19 Dl.O(d1) = 10352956,6817518,6817519,8629095,6536998 Dl.O(d2) = 5675000,8718437,5674998,3529697,3529703,5674933,8718294,5840626,3644846,2178785,2178789,1262619,1262621,2178761,1262574,719278,719279,1262577,2178357,3643984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13212062, s2 = 13290825, dlinesl.size( ) = 2 s1 = 13212062, s2 = 13290825, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13212062, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 13214786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13227942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13227942, s2 = 11609250, int(edited[s2]) = 0 s1 = 13227942, s2 = 11609250, d1 = 144, d2 = 57 Dl.O(d1) = 255243970,21166988,28385060,36881642,43913806,52855539,42451505,33458443,25686465,25686464,33458440,42451501,46679969,46679970,47802199,37878447,36881632,256840973,47802244,37878493,29309679,29309678,37878489,256322801,21402169,15415333,15415334,10960201,10960202,15815497,21893248,25440117,25440068,18843734,18843733,21927283,21927282,29247479,25440145,25440144,33185380,42144577,255252096,254644640,21887029,15810512,15810513,21887031,254297266,29199505,254441124,10956242,10956243,254441122,254441120,25399583,33138288,42091327,52442870,254914268,91399182,85412042,85412041,83913781,70387336,57693590,50012932,50012931,40326860,40326859,50353817,61837830,67729101,67729100,67729092,55388529,256115168,35163700,44541247,55388527,67729091,81194645,95250950,95250954,109505373,123697263,113083623,99096432,99096433,109505376,95250959,81194656,257184648,55388537,61837834,58890311,47510755,37606226,256001742,58890312,71610111,256629996,95250925,109505358,257773890,116352421,111694064,97772461,258341404,74669137,61877275,61877277,52999622,52710063,52710062,64610484,53846080,256677984,34223743,43321736,52413544,64268930,77419053,64974814,63253559,254444064,52504678,42146558,42146557 Dl.O(d2) = 238810793,266791303,239980147,274862057,239583971,239583970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13227942, s2 = 11609250, dlinesl.size( ) = 22 s1 = 13229074, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13229074, s2 = 7853805, int(edited[s2]) = 0 s1 = 13229074, s2 = 7853805, d1 = 15, d2 = 6 Dl.O(d1) = 91491262,77560760,64392722,52518730,42160503,254460196,13434079,9184903 Dl.O(d2) = 6011554,8777845,8917551,6011586,6011585,9184988,11500833,254673174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13229074, s2 = 7853805, dlinesl.size( ) = 2 s1 = 13229074, s2 = 7853805, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13229074, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7853804, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6512514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14489312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14268913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14268913, s2 = 105587, int(edited[s2]) = 0 s1 = 14268913, s2 = 105587, d1 = 16, d2 = 19 Dl.O(d1) = 19356710,13845578,9497746,9497747,13845583 Dl.O(d2) = 2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313560,2415551,2415553,4030901,6171059,9417300,9417301,9417814,13745681,19239330,25899942,257234557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14268913, s2 = 105587, dlinesl.size( ) = 2 s1 = 14268913, s2 = 105587, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14268913, Dl.E( ) = 20, 1e-05 seconds used appending s1 = 6678302, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12546876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12387900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13247674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13247674, s2 = 1906979, int(edited[s2]) = 0 s1 = 13247674, s2 = 1906979, d1 = 13, d2 = 18 Dl.O(d1) = 256837226,28053297,23000767,16760847,255422802,22174915,28811613,21543790,15526995,15526994,21543788,16760833,11713639,7815244,4957821,4957822,7815248,11713643,16760841,23000757,18320791,254745608,5770544,254291441,1238134,1238133,2143465,3594555,5770529,8853777,13004766,17301329,17301331,18320731,18320732,24809260,32443837,39776464,39776465,38633862,38633863,41283082,51497501,48548177,48548176,41283136,41283137,51497562,63207839,254344596,73356605,73356606,76218862,76218863,76218846,63207845,51497567,51497531,51497530,58536816,58938865,47556951,37651655,37507851,28964432,28964431,24698581,21909753,21909756,24809267,32443843,254754656,37243034,28712041,21456733,15457432,10687640,7060360,4445062,2670261,1546583,1546584,254225894,7060364,10687649,15457452,21456755,18405242,13073145,13073146,255632619,32561763,41421398,47049491,47049490,37242930,37242931,42717664,42717665,51663282,41421463,32561837,24910367,18405303,13073191,8908479,254900677,18405306,24910370,28711905,24910292,18405240,13073143,8908447,8908446,13073141,18405237,15457449,15457450,19100786,19100785,18405140,13073080,8908413,8908412,13073075,18405133,13073091,13073092,18405159,24910190,32561598,41421242,36492718,31671301,31671302,32561606,24910142,18405127,18405128,24910145,32561611,37242771,33687668,25881260,19222065,13730974,255285483,25881255,23294018,17034457,11949119,11949117 Dl.O(d2) = 259456727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13247674, s2 = 1906979, dlinesl.size( ) = 24 s1 = 7822788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12547182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12049703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13491694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13336060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13336060, s2 = 7837391, int(edited[s2]) = 0 s1 = 13336060, s2 = 7837391, d1 = 14, d2 = 7 Dl.O(d1) = 254320510,26775707,26775708,19954478,14288952,14288954,9830778,6457977 Dl.O(d2) = 2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423384,2423380,4045881,2422789,2422784,4045979,6454279,9824320,268560768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13336060, s2 = 7837391, dlinesl.size( ) = 2 s1 = 13336060, s2 = 7837391, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13336060, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 7837390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13338898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13338898, s2 = 8114069, int(edited[s2]) = 0 s1 = 13338898, s2 = 8114069, d1 = 21, d2 = 19 Dl.O(d1) = 72851550,60114699,256378236,30214518,268412882,60114697,64234573,52379112,42035554,33088063,254543528,13369528,9137373,5979371,3739069,3739071,5979376,9137382,254941222,9914600,9914601,14415895,20105976,14416121,9914792,7045660,254733605,15431190,18769086,25350702,20107437,20107438,24371668,17973957,17973958,12815920,12815919,10822705,7152458,4504190,2706744,1568585,1568586,2706747,4504196,7152470,10822732,15639760,21679055,21679049,15639755,10822730,10822729,15639753,255853019,37504101,258907645,50375032,50375033,61861714,68392349,57048254,57048253,57044695,57044693,57219806,45964527,45964523,56380012,56380009,68891756,70041963,68681745,258570855,82062097,82062096,82312038,257951933,45251095,257337630,45295804,36187537,36187536,35491971,27341597,20390029,14633783 Dl.O(d2) = 1443140,1443135,2492977,1439409,1439406,2492966,4170431,6634313,10102862,14689295,20470515,27457502,35657593,36271731,46061647,44745477,35319866,27196566,27196563,35319826,35319728,35319516,256761717,55652466,259126140,42623145,38994634,30405325,255509925,16760437,23000226,23000135,16760378,16760377,23000133,30405219,25334187,18754920,18754921,255739388,14189197,14189196,19809103,26618491,34606459,255817210,48148116,257216703,42420978,52822622,47102592,256636034,63128350,256529176,39030247,39030246,269834117,269875558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13338898, s2 = 8114069, dlinesl.size( ) = 22 s1 = 8114068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15906413, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14905505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14905505, s2 = 8255915, int(edited[s2]) = 0 s1 = 14905505, s2 = 8255915, d1 = 18, d2 = 21 Dl.O(d1) = 257522104,32120400,24542540,24542539,23204068,23204069,30626594,24342044,23299658,255975739,39315203,257602481,73389337,87004822,73477046,257005606,39398427,39398428,255960432,257586176,60436353,49032325,49032326,59342267,49923140,39903419,31226601,29474909,29474910,38037677,30506257,30506256,39102798,49032200,53168848,53168850,65153251,53168858,53168859,60716960,60716947,49315020,39387201,39387200,38037658,38037660,47951006,59342262,72076233,85663335,74182958,73176730,73176729,73176758,86789416,74182952,61402976,61402854,61402311,61402304,61402281,61402279,61402848,61402849,74182364,74182160,61402095,49922366,49922367,258250335,72076263,258283648,86796206,73183865,60436893,60436892,73183863,257674590,100776713,100776714,114828574,119190283,119190282,106082224,257091530,77961508,91886688,106082230,120283053,109827391,95623074,81589446,81589447,95623078,109827396,102255994,88257628,88257629,102256000,109352244,109352245,95097395,90817976,81038877,81038878,87787109,76942326,76942327,74627339,61835164,50351035,40324291,31635098,24128210,24128212,31635101,40324299,50351055,61835184,74627368,259246657,259246659,81589508,68099795,55702155,44794583,44794582,46278096,36425354,27966797,27966799,36425362,46278107,44794690,35369965,27245884,20314223,14578482,14578481,20314219,27245876,32793228,25094280,25094281,27245903,35369995,44794744,55702396,68100096,70312906,67606695,67606696,70312887,72701056,70350291,57660287,46315989,257385927,270271499,97734243,102255864,88257526,74627178,61834962,61834963,74626707,61834502,61834505,61834632,61834633,74626845,88257213,88257222,88257224,74627004,61834789,50350736,50350735,61834784,258283607,75633115,78845413,92952034,83875457,83875456,97734366,259246672,70350275,70350274,257674492,58061248,58061249,70779082,61834713,50350683,40324025,40324026,50350685,61834715,65513070,269126457,33954492,26117476,268516653,50350875,257091444,255584916,21097528,21097529,28307100,36803915,41710655,256103989,18548202,18548203,24128009,17764998,12571329,8525608,8525607,12571327,17764995,24128004,31634811,40323900,50350513,61834497,72480758,76943699,63836545,52021448,52021449,258283595,257091487,31634897,31634895,40324033,50350700,61834738,58069656,48161043,48161045,46697372,36814492,36814491,46697367,58069607,70787028,84345981,74182081,61402016,49922271,39902653,31225937,23742566,23742565,31225933,39902644,49922260,46697391,36814502,28318338,21108024,15162453,15162454,21108027,28318341,36814506,46697397,58069645,70787081,84346037,77607305,77607304,88257139,88257140,102255585,91537323,77607313,77607311,87896470,87896471,92299706,98253487,84346011,84346003,84346002,91537296,87896479,74293354,61515850,61515849,74293350,87896476,91537262,77607252,64438266,52563106,52563103,61834737,74626957,88257335,87786546,87786547,91209436,105431566,105760013,91537446,91537447,102255722,88257341,84346042,84346043,77607323,77607322,74626769,61834563,61834564,74626773,72853445,72853446,86032782,72435026,59699293,59699294,64438312,64438311,77607317,91537328,105759931,105760048,91537497,91537498,100404830,105431563,91537298,77607287,64438293,52563124,52563108,52563107,64438267,258408346,72853440,72853439,76977418,63866227,52046833,41732041,32811520,25108924,18559649,13188410,13177893,13177891,13177903,13177902,13177942,9007343,5879946,3670858,2197187,1276481,730237,730236,1276480,2197183,3670853,5879940,9007484,13214034,18594777,25151821,32858566,25151714,25151713,18594684,18594683,25151723,32858622,32790739,32790737,41706339,41706664,32858419,25151479,25151435,25151434,25151555,18594527,18594528,25151558,18594735,18594736,25151440,18594445,13213797,9007350,5879865,5879866,9007352,9007399,5879898,5879899,9007403,13213873,9007393,9007395,13213878,18594568,13213989,9007456,5879922,3670844,3670845,5879928,9007460,13214001,18594752,25151800,25151648,18594608,18594610,18594680,25151643,25151642,32858562,41779083,32858546,25151617,18594580,18594579,25151549,18594523,13213850,9007374,5879881,5879882,9007379,13213854,18594535,256107985,18594465,13213812,255245445,13214012,13213778,9007335,9007336,13213780,18594426,13213972,13213973,18594709,25151759,18594725,13213985,9007452,5879920,5879918,9007450,13213982,18594722,25151770,25151656,18594617,13213911,9007415,5879903,5879902,9007411,13213906,18594577,25151611,32858542,41779078,41779024,32858478,25151538,18594516,13213846,13213845,18594512,18594532,18594531,18594748,13213996,13213995,18594745,18594772,13214018,9007469,5879931,5879929 Dl.O(d2) = 78873406,71015263,58300052,46933977,37055697,37055698,46934098,269777973,257434131,268916865,58300042,256316336,42716227,53165876,65150206,71015256,71015254,256855560,98504861,98504860,98504982,84579790,71015294,58300099,58300098,71015290,78432191,74134335,61352480,49870665,39848407,31166545,31166542,39848402,49870661,53513867,65538099,63831854,58299912,46933847,46933846,58299909,58300044,71015251,63831877,63831876,65150198,58300109,46934063,37055641,268611403,21329625,21329624,28555017,28555208,33686189,33686190,28555023,28555025,37055518,46933974,58300049,71015259,84579643,71015122,58299905,58299907,71015125,255826710,37055625,28555108,28555107,37055622,46934055,58300101,63831880,52016885,52016886,63831882,53513864,52016855,52016857,52016865,63831857,71015127,71015333,63831874,52016878,52016877,63831870,71015944,71015945,71015336,58300139,46934121,37055721,28555215,21329801,21329800,28555212,37055716,46934029,37055597,28555080,21329686,21329687,28555084,28554886,28554883,37055378,43035600,33978519,33978521,28555121,21329728,15357473,15357472,21329724,28555118,32790896,268070366,18546461,21329504,28554877,32790820,32790819,41706444,32790827,32790828,32790811,32790812,41706430,255826714,63831849,58300734,58300735,71015946,63832925,52017926,41707462,41707463,52017930,52016834,41706411,41706412,52016836,52016862,46934020,37055587,37055586,46934018,58299903,46933838,46933836,52017934,46934084,37055680,32791653,32791644,32791645,41707454,32791663,25093168,18546828,18546479,13177856,8982764,5864484,3661318,2190661,2190660,3661315,5864480,8982755,13177839,18546433,25092596,32790854,255552412,25093133,21364830,15385668,15385669,21364833,20193724,20193725,27092504,267843438,37055594,32811471,32811470,41707477,41706488,32790859,25092601,18546434,18546436,25092605,32790865,25093074,18594797,13214036,13214037,18594802,25151845,25093176,18546837,18546838,25093185,32791680,256507254,52564382,64439644,77607733,258387332,91537600,77608270,64439680,257202732,42204054,52564435,64439683,59745939,48362550,254923458,42204130,52564513,63832951,64439405,52564123,52564124,52564352,42203983,42203985,33242696,25492512,25492514,33242700,33242722,42204197,42204150,42204147,52563950,59745480,48362175,48362176,52564511,59745658,48362318,48362319,59745547,48362241,48362242,59745549,64439540,64439722,64438693,64438692,72041537,72480554,269345799,38460770,48362313,42583795,42583796,48362350,48362349,59745539,59745540,59745852,59745943,59745885,59745884,59963638,72701265,72480578,59745676,48362341,48362340,48362479,49922966,59745599,64439529,63834140,63834141,52020056,52020057,52785236,59745970,48362573,38460900,38460901,48362578,48362361,48362362,59745709,48362398,38460812,29903845,22548078,22548079,29903789,29903787,29903808,29903809,38460750,48362280,59745608,72480527,74044662,258224756,49785526,61264686,61264792,61264791,61264852,49785685,48362208,48362207,59745513,72480474,59745691,59745692,72480598,86078389,86078425,72480656,63835145,63834142,63834143,63834129,52019251,41708878,32792958,32792960,41708886,41709435,52020025,63835108,52785246,52785245,52785252,59745604,49785731,258240337,72701144,268754100,48571357,52814424,42412963,33421863,33421865,42412967,52814428,64729788,77919904,257219922,62107889,50608851,49786089,39766317,39766316,49786088,58667521,48571344,38655463,30078525,255488773,16494606,22697307,16494600,11492282,7643486,4835498,4835497,7643484,11492278,16494592,22697294,30078497,38655252,38655253,269011441,40567648,31865750,30078152,30078151,31865782,29342428,29342427,29342469,22010580,15909026,11030361,7304952,7304951,11030359,255442825,29342582,37911825,42486702,33490725,25715476,19087062,13627364,9331451,6112433,3824568,3824567,6112431,9331445,255277395,25715429,33490639,33491227,33491226,33491494,25715985,19087372,19087371,25715444,19087048,19087046,25715433,33490644,33491250,33490692,25715821,19087283,19087286,25715826,33491306,42486865,33490871,33490867,33490863,33490820,25715520,25715519,25715526,33490839,26400129,26400127,34275071,39850806,31168803,31168804,39850810,42487526,33491360,33491359,25715931,25715932,19087415,19087416,25716070,33491649,42487061,42486653,33490683,33490684,33491484,42487448,33491278,33491276,42487444,52893849,61354719,61354720,61833828,50349901,50349900,50349818,40323378,40323380,40323432,50349810,50349811,61833820,74626135,80312411,258250344,78272381,78272380,78272276,64999054,64999053,64998779,53023717,42583490,42583489,53023714,53023644,53023643,46278976,36426043,27967340,20804703,20804704,27967349,36426060,256765140,47911957,37995982,37995981,47911955,59306187,72041659,64998325,64998324,78271883,78272106,64998606,64998607,72041666,64998460,53023353,53023354,64621185,52721028,52721029,64621191,71194658,64998331,53023209,42582973,33565872,25776296,25776297,33565876,42582984,53023222,64998345,53025242,42585496,33568608,33568600,32794443,32794442,254936878,25778650,19137547,19137548,25778652,25095106,25095107,32794396,32147725,32147726,30743583,30743584,32794444,32794379,25095095,18548226,13179018,13179021,9358052,8983457,8983455,255242865,25095147,30743632,23322842,23322841,30743631,39342654,49268280,42582667,34650257,26658969,19844830,19844829,26658966,34650254,268043344,40017656,40017657,39342599,31338438,255280442,31338445,40017469,50036869,41710105,268972151,30713366,30713365,29775523,29775524,38347030,39311088,30713379,30713378,39311087,48257452,59644252,72378748,74293316,72041512,72041507,59305958,47911621,37995588,37995587,29433261,29433260,25280453,18707724,13314516,13314517,18707726,25280456,18785890,13380260,13380259,18785886,25369919,22101146,15991272,15991271,22101125,255887825,37996359,29433798,22101428,22101429,29433801,37995896,29433365,29433364,37995891,37996340,29433781,29433780,29433297,22101073,22101072,29433294,37995811,47911814,42333877,37996271,37996270,36865535,28367669,21151089,21151088,22403051,22403050,29765692,29433676,29433675,37996241,39502613,49433789,60835688,55194704,55194705,55194721,44344004,254661426,20007364,20007363,18547372,13178461,13178465,13743861,16554046,11538379,10707728,7073995,5864706,5864707,6128967,6128969,9356810,9540187,9540188,9843103,9843102,14328731,20007429,22632008,26121549,26121548,27966878,22488467,19843386,14216204,9773327,6426054,6426056,4790196,4790197,7573968,11398816,16378499,19238122,17141387,17141368,12046880,8099111,6887121,4323737,2586809,2586807,4323744,6887137,10447090,15147717,11457760,7621087,4821877,4821879,7621093,8525685,5524362,3410893,3410898,5524375,254868879,17765227,256037125,40324554,50351413,61835618,74627878,259021564,59945822,258161315,271349311,128162246,128162249,141520396,274104481,265873003,230853733,265810540,225801663,265125020,191399010,263000053,272888726,258475299,53802985,65870767,53802987,43278161,34181670,26310124,19585110,19585111,26310125,34181671,43278162,53802990,65870775,71488648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14905505, s2 = 8255915, dlinesl.size( ) = 8 s1 = 13365826, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13391432, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15258504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15905185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15905185, s2 = 14019612, int(edited[s2]) = 0 s1 = 15905185, s2 = 14019612, d1 = 1, d2 = 1 Dl.O(d1) = 268755453,19101489,254935045,6117006,6117007,268029427,255601351,256722244,60707236,255313936,39377179,30775744,23352017,23352018,30775746,39377182,49304867,39377181,39377180,41584858,32687112,25007423,18480420,13129191,9946733,9946732,9946042,6536998,5675002,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,18067323,20996348,20996349,28178045,36653773,46520815,41563796,269061637,57876274,70577071,84113243,97988004,111927336,125747306,139088342,151791935,163667035,174500115,175014097,175014094,164199010,152316439,139587576,139587577,139587578,126213148,112353371,98371245,84462088,70905853,58193114,255990200,28448937,268203915,15252779,19130547,13659574,9353727,6126738,6126737,9353721,7658388,5475631,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303595,12303594,254482862,13003450,267813652 Dl.O(d2) = 268755453,19101489,254935045,6117006,6117007,268029427,255601351,256722244,60707236,255313936,39377179,30775744,23352017,23352018,30775746,39377182,49304867,39377181,39377180,41584858,32687112,25007423,18480420,13129191,9946733,9946732,9946042,6536998,5675002,5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,18067323,20996348,20996349,28178045,36653773,46520815,41563796,269061637,57876274,70577071,84113243,97988004,111927336,125747306,139088342,151791935,163667035,174500115,175014097,175014094,164199010,152316439,139587576,139587577,139587578,126213148,112353371,98371245,84462088,70905853,58193114,255990200,28448937,268203915,15252779,19130547,13659574,9353727,6126738,6126737,9353721,7658388,5475631,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303595,12303594,254482862,13003450,267813652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15905185, s2 = 14019612, dlinesl.size( ) = 2 s1 = 15905185, s2 = 14019612, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15905185, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11712860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316446, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316446, s2 = 1823706, int(edited[s2]) = 0 s1 = 15316446, s2 = 1823706, d1 = 6, d2 = 7 Dl.O(d1) = 28807593,32842561,32842560,256354524,37838551,37838552,32842543,25137284,25137283,32842541,37345791,30081377,30081378,32509982,41357236,32842546,25137286,18583057,13205758,13205759,18583053,25137243,255466470,47712425,59110203,256054630,52557606,42198389,255513410,25488580,33237851,32842529,32842530,41762410,48992694,39942999,31268295,25140561,25140562,25137434,18583150,13205834,13205833,18583153,16814734,13205962,9003443,5877857 Dl.O(d2) = 18583844,25138361,32843752,41763633,52076738,47154906,37249995,28719146,28719144,37249993,37789728,47710707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316446, s2 = 1823706, dlinesl.size( ) = 12 s1 = 13424366, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13424366, s2 = 13228896, int(edited[s2]) = 0 s1 = 13424366, s2 = 13228896, d1 = 1, d2 = 1 Dl.O(d1) = 82011144,96052908,109761303,95558971,83639832,257987711,46153035,36337856,36337855,30131261,22747471,16538247,11526634,7668063,4851909,2923880,2923885,4851893,7668018,10074575,6665033,6665029,6618288,4172826,4172823,6611703,6611702,4182512,2500986,1443010,1443004,2476471,1442901,1442899,1432476,814663,814658,1432499,2478990,4145994,6621459,10081727,14657701,20425052,27391753,35561830,45047772,51976850,56015605,56015606,56348838,45297114,45296932,35737095,27508816,27508818,35737103,38134523,29568329,22221884,16089281,11174553,7413933,4684798,2822660,1637594,1637593,2822658,254526667,11174550,16089274,22221873,29568305,38134485,254345796,29440134,28454176,28454175,36954843,46833165,51384806,255066290,255876898,43360788,34260861,26383006,19648472,19648473,26383008,34260864,43360793,51384790,45606568,45606567,51384786,46833126,46833125,58199190,58198789,51384792,41193927,32374991,24755994,21226862,15256534,254724639,1509840,2614504,4362749,6941871,10525608,15256550,21226887,28454011,36954577,46832789,41193904,32374950,32374951,41193905,42623068,46833158,46833159,48873673,48873674,46832784,46832783,42152813,33193898,33193899,41485547,51755593,52511191,256628030,62193856,257182606,52511195,256303386,25448668,25448666,33194254,255795692,18851093,25448699,25448652,25448653,33194242,36954567,28454000,28453999,31453276,33194245,25448658,25448604,25448605,33194169,42153048,39260126,30664536,30664535,26367697,256127787,18851067,254921343,6010213,6010212,9182811,7794347,4942098,2982292,1731196,1731197,2982297,4942103,5994317,3748368,3748367,5994315,9158953,13397099,18805927,25392779,33129654,33129652,25392778,25392777,33129650,42079596,52424420,52424422,52424421,62023385,62023384,62023141,50531004,50531003,40495873,40495874,50531451,51782922,41507957,32624758,32624757,31800739,31800738,40495828,32624759,24957288,18440248,18440247,24957286,31800574,31800857,31800856,40495953,257191827,33099629,25365558,25365557,24018986,24018971,24018970,31520391,40206340,33100766,25366355,18782742,18782743,25366357,256184407,33100632,256121721,18782553,13377309,9143230,9143229,268142249,256121719,42048929,40206355,257083053,59688426,48301753,38391415,38391416,268179626,42048593,52392491,52065336,41751403,41751402,33099937,32788642,25090861,25090860,32788639,34971720,34971722,41703905,255757572,32788680,32788681,33100820,33100821,42049471,52393203,61708547,50227760,40206350,40206349,42046812,46823113,46823112,46332391,36476847,33099828,33099827,26240717,26240718,34104171,42048336,42048337,43369454,40290015,40290014,42047248,42047246,52391288,43286491,34189456,26317668,26317669,34189458,43286493,36628744,36628529,36628530,46495037,36628490,28154646,28154647,36628280,36628279,46494718,36628213,36628212,36628478,46495029,57850982,65152419,53168077,53168076,254663996,33766480,28154666,20975844,15064707,15064708,20975847,20975934,20975747,15064656,10388710,10388708,15064651,20975743,28154506,256397799,22298547,16153310,11222493,11222494,16153314,22298554,29650403,29650402,28154716,20975878,15064726,10388745,6846707,4296091,2568435,2568436,4296094,6846714,10388763,15064762,20975944,28154838,36628689,28154793,28154792,28154836,29650457,38216727,41972901,52313253,57850704,46494725,46494724,46494616,36628129,36628128,46494614,46494865,46494945,46494946,57850595,269100452,36628124,28154718,28154719,29504710,29504711,28154684,20975860,20975719,15064636,15064634,20975714,28154460,36628207,46494710,57850690,70552370,62216155,62216156,70552345,256545108,46494677,46494872,36628339,36628340,46494875,51919586,41617639,32712571,32712572,41617641,51919590,63728211,59514312,59514311,57850604,57850605,64118887,52269769,52269770,53731726,43219593,39214353,39214354,49141120,60540888,60708335,53116057,42663989,42663988,53116055,256395750,37943416,39214416,30617582,23196683,255405040,33249132,25498196,18892758,13463548,11997996,11997995,17085456,19517774,13971404,9594056,6298901,3958312,3958311,6315397,254954097,19545017,19545018,255836682,11778400,7864099,7864100,255131563,23098421,30514112,33249082,25498151,18892730,18892731,25498153,27286034,26264237,19544239,13994892,13994891,13463602,9207050,6027680,3770964,2259464,1311427,1311426,2259462,3770960,6027673,9207039,13463578,18892823,25498307,33249275,42211226,254734698,52571702,64446685,64258138,52402884,42059007,39214559,30617700,27992584,20828221,14929610,10266359,10266360,10653822,7034997,4426108,4426109,7035000,10653826,11540160,12333519,8331753,8331752,12333514,17492337,22403582,16241487,11291574,7496918,4739062,2856150,1657629,943187,943188,1657630,2856151,4739065,7496927,255092003,22403642,29766338,38337168,257529571,258138864 Dl.O(d2) = 82011144,96052908,109761303,95558971,83639832,257987711,46153035,36337856,36337855,30131261,22747471,16538247,11526634,7668063,4851909,2923880,2923885,4851893,7668018,10074575,6665033,6665029,6618288,4172826,4172823,6611703,6611702,4182512,2500986,1443010,1443004,2476471,1442901,1442899,1432476,814663,814658,1432499,2478990,4145994,6621459,10081727,14657701,20425052,27391753,35561830,45047772,51976850,56015605,56015606,56348838,45297114,45296932,35737095,27508816,27508818,35737103,38134523,29568329,22221884,16089281,11174553,7413933,4684798,2822660,1637594,1637593,2822658,254526667,11174550,16089274,22221873,29568305,38134485,254345796,29440134,28454176,28454175,36954843,46833165,51384806,255066290,255876898,43360788,34260861,26383006,19648472,19648473,26383008,34260864,43360793,51384790,45606568,45606567,51384786,46833126,46833125,58199190,58198789,51384792,41193927,32374991,24755994,21226862,15256534,254724639,1509840,2614504,4362749,6941871,10525608,15256550,21226887,28454011,36954577,46832789,41193904,32374950,32374951,41193905,42623068,46833158,46833159,48873673,48873674,46832784,46832783,42152813,33193898,33193899,41485547,51755593,52511191,256628030,62193856,257182606,52511195,256303386,25448668,25448666,33194254,255795692,18851093,25448699,25448652,25448653,33194242,36954567,28454000,28453999,31453276,33194245,25448658,25448604,25448605,33194169,42153048,39260126,30664536,30664535,26367697,256127787,18851067,254921343,6010213,6010212,9182811,7794347,4942098,2982292,1731196,1731197,2982297,4942103,5994317,3748368,3748367,5994315,9158953,13397099,18805927,25392779,33129654,33129652,25392778,25392777,33129650,42079596,52424420,52424422,52424421,62023385,62023384,62023141,50531004,50531003,40495873,40495874,50531451,51782922,41507957,32624758,32624757,31800739,31800738,40495828,32624759,24957288,18440248,18440247,24957286,31800574,31800857,31800856,40495953,257191827,33099629,25365558,25365557,24018986,24018971,24018970,31520391,40206340,33100766,25366355,18782742,18782743,25366357,256184407,33100632,256121721,18782553,13377309,9143230,9143229,268142249,256121719,42048929,40206355,257083053,59688426,48301753,38391415,38391416,268179626,42048593,52392491,52065336,41751403,41751402,33099937,32788642,25090861,25090860,32788639,34971720,34971722,41703905,255757572,32788680,32788681,33100820,33100821,42049471,52393203,61708547,50227760,40206350,40206349,42046812,46823113,46823112,46332391,36476847,33099828,33099827,26240717,26240718,34104171,42048336,42048337,43369454,40290015,40290014,42047248,42047246,52391288,43286491,34189456,26317668,26317669,34189458,43286493,36628744,36628529,36628530,46495037,36628490,28154646,28154647,36628280,36628279,46494718,36628213,36628212,36628478,46495029,57850982,65152419,53168077,53168076,254663996,33766480,28154666,20975844,15064707,15064708,20975847,20975934,20975747,15064656,10388710,10388708,15064651,20975743,28154506,256397799,22298547,16153310,11222493,11222494,16153314,22298554,29650403,29650402,28154716,20975878,15064726,10388745,6846707,4296091,2568435,2568436,4296094,6846714,10388763,15064762,20975944,28154838,36628689,28154793,28154792,28154836,29650457,38216727,41972901,52313253,57850704,46494725,46494724,46494616,36628129,36628128,46494614,46494865,46494945,46494946,57850595,269100452,36628124,28154718,28154719,29504710,29504711,28154684,20975860,20975719,15064636,15064634,20975714,28154460,36628207,46494710,57850690,70552370,62216155,62216156,70552345,256545108,46494677,46494872,36628339,36628340,46494875,51919586,41617639,32712571,32712572,41617641,51919590,63728211,59514312,59514311,57850604,57850605,64118887,52269769,52269770,53731726,43219593,39214353,39214354,49141120,60540888,60708335,53116057,42663989,42663988,53116055,256395750,37943416,39214416,30617582,23196683,255405040,33249132,25498196,18892758,13463548,11997996,11997995,17085456,19517774,13971404,9594056,6298901,3958312,3958311,6315397,254954097,19545017,19545018,255836682,11778400,7864099,7864100,255131563,23098421,30514112,33249082,25498151,18892730,18892731,25498153,27286034,26264237,19544239,13994892,13994891,13463602,9207050,6027680,3770964,2259464,1311427,1311426,2259462,3770960,6027673,9207039,13463578,18892823,25498307,33249275,42211226,254734698,52571702,64446685,64258138,52402884,42059007,39214559,30617700,27992584,20828221,14929610,10266359,10266360,10653822,7034997,4426108,4426109,7035000,10653826,11540160,12333519,8331753,8331752,12333514,17492337,22403582,16241487,11291574,7496918,4739062,2856150,1657629,943187,943188,1657630,2856151,4739065,7496927,255092003,22403642,29766338,38337168,257529571,258138864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13424366, s2 = 13228896, dlinesl.size( ) = 2 s1 = 13424366, s2 = 13228896, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13424366, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 13228895, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13436664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15176953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15176953, s2 = 6575263, int(edited[s2]) = 0 s1 = 15176953, s2 = 6575263, d1 = 24, d2 = 12 Dl.O(d1) = 256832222,268377403,21121584,255470124,255470122,43904483,54647163,256948660,256406532,47714178,47714177,59111724,49293603,255544414,23341302,23341301 Dl.O(d2) = 70727358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15176953, s2 = 6575263, dlinesl.size( ) = 34 s1 = 14092172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092172, s2 = 5310270, int(edited[s2]) = 0 s1 = 14092172, s2 = 5310270, d1 = 11, d2 = 31 Dl.O(d1) = 52507007 Dl.O(d2) = 220101597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092172, s2 = 5310270, dlinesl.size( ) = 2 s1 = 14092172, s2 = 5310270, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14092172, Dl.E( ) = 86, 3.1e-05 seconds used appending s1 = 14263617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16357935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16196962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13498138, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13498138, s2 = 2713790, int(edited[s2]) = 0 s1 = 13498138, s2 = 2713790, d1 = 8, d2 = 7 Dl.O(d1) = 77793639 Dl.O(d2) = 77793626,91721505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13498138, s2 = 2713790, dlinesl.size( ) = 2 s1 = 13498138, s2 = 2713790, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13498138, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 16027766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12054409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11184857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184857, s2 = 11114978, int(edited[s2]) = 0 s1 = 11184857, s2 = 11114978, d1 = 1, d2 = 13 Dl.O(d1) = 73074441 Dl.O(d2) = 257507500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184857, s2 = 11114978, dlinesl.size( ) = 12 s1 = 13559112, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14174486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14174518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14174518, s2 = 8363534, int(edited[s2]) = 0 s1 = 14174518, s2 = 8363534, d1 = 28, d2 = 42 Dl.O(d1) = 3954314,2368039,2368038,267867113,254953489,19531562,26248821,34112823,43199108,53710802,65767584,78527868,65237608,65237607,78527865,92575119,79123181,79123182,92575134,78527885,257830635,42795690,42795689,42795714,33764030,25955426,19291046,13791983,13791982,19291044,25955425,33764028,42795710,53248017,53248005,53248006,53247981,53247980,65237605,65237647,65237646,78527896,92575143,92575112,92575113,103905887,259705391,65237634,53248007,53248008,61253637,74033609,269638797,44522647,35146290,35146289,37417899,28876304,28876306,37417902,47326467,58715474,71446607,85019238,98944824,271499530,101822917,87848819,74244385,61465880,61465879,62588839,75523229,89277664,91802584,87848952,74244461,74244462,87848954,101823152,106050842,91852559,77928212,64737005,52821140,52821141,64737006,77928215,91852569,86704594,73101112,60362964,48967917,39046756,30457497,23049906,16804294,255512853,23049902,30457491,39046745,48967897,59084027,59084028,71008971,71008972,258095379,47684331,47684330,59084095,59084037,47684173,37761996,37761997,37762054,37762053,47684226,59084097,59084103,47684231,37762057,29200658,29200659,37762059,47684236,37762061,29200661,21888157,15811596,15811595,15811583,15811582,15811518,15811519,21888074,20298919,18681521,13288734,13288735,18681523,256110729,32974975,257179949,64101464,77248092,91166527,105388683,103264321,89174693,75427221,62508231,50907841,40791071,269435167,32034053,32034054,40791074,50907846,50907850 Dl.O(d2) = 40791076,40791075,40791073,32034053,32034054,32034059,24471562,18051320,12796959,8700388,8700390,8662931,8662932,12731943,8651518,5627228,5627227,3624112,2164231,2164230,3549937,2114191,1218260,1218259,2114188,3549929,5704528,3549936,3549935,5704540,8761043,8782520,12775461,12775460,12881338,18163504,18051327,12796963,8700392,5663203,3522205,3522204,5663200,3549681,2113931,1218072,688098,384102,384105,371930,203723,111094,111096,61289,34328,34326,35525,35519,36677,36682,254076087,225951,395293,395294,702380,1238532,2144075,3595463,5771836,268015185,13007541,13007542,18278965,12973508,8830877,5754336,3583293,3583294,5754338,5657936,3518486,2092855,1204047,1204046,2092853,3518481,5657929,5764053,8835047,5757196,3585132,3585129,5757190,254896017,18286071,24762981,19812004,18230192,18230191,21389719,22485436,29850667,255700728,21155617,254668910,6911955,4340981,4340979,6911950,10483756,11062305,7334926,4633366,2791155,2791153,4633352,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069711,15951039,15937977,11079108,7346409,7346407,7337195,7336953,7336949,268081843,11073700,11062905,11062904,11079363,15956193,15942430,11062945,7335334,4633588,2791260,1619258,1619259,2791265,4633596,7335343,9203611,9203610,11050097,7325396,4626217,4626216,7325394,4636166,4636167,7339771,7348709,7348710,11082412,15966945,15955173,15944387,11064324,11064325,7347272,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920921,920920,1619144,2791016,4633056,7334320,11061272,15940434,11070109,7340305,7340304,11063846,12022531,12022533,17108436,15966386,11081990,7348444,4641306,4641307,4641165,2795366,1621378,921964,921965,1621384,2795385,4641196,7348264,7387795,4667264,4667266,7387799,11080170,7347199,4640487,4640488,7347205,11067987,15949055,15942346,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,4632825,4632826,7333898,11060593,15939014,14178795,14178798,11080272,11060315,7333748,7333744,11060296,14511799,11072994,11072992,15955359,15950011,15950010,22053533,22072393,22072394,22036986,22036987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14174518, s2 = 8363534, dlinesl.size( ) = 32 s1 = 9222180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9222180, s2 = 13554744, int(edited[s2]) = 0 s1 = 9222180, s2 = 13554744, d1 = 17, d2 = 13 Dl.O(d1) = 164186797,152303480,152303481,139573709,126198352,112337794,98354905,258315388,70888026,270802323,70888025,259284743,85940312,72346835,59613205,48227187,38317670,29748678 Dl.O(d2) = 257528057,71217166,84786047,85940319,269874620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9222180, s2 = 13554744, dlinesl.size( ) = 2 s1 = 9222180, s2 = 13554744, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 9222180, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 14263851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13578058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12397618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1756002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15320828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15936862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15936862, s2 = 9217885, int(edited[s2]) = 0 s1 = 15936862, s2 = 9217885, d1 = 15, d2 = 18 Dl.O(d1) = 104652161,104652160,118831287,132648118,145865298,158233112,158233118,145865303,145865304,158233120,169608758,179805067,261714692,178012975,167544872,167544871,178012972,187258395,195308076,193807506,185548145,176085170,176085169,185548143,176085172,176085171,259989912,153624499,165404336,176085173,176085168,165404332,153624497,140958251,140958250,153624496,165404331,176085166,185548140,193807504,200890682,200890683 Dl.O(d2) = 37156142,37156143,47046967,44748588,44748589,55656759,58421857,71143564,84713528,98643868,95570864,81540359,68053567,55656768,44748595,44748594,55656766,68053569,81540361,81540360,68053570,256856190,85909502,72316137,59581519,59581518,72316136,85909501,98606715,84681608,71117098,71117097,84681599,84681600,270472108,112602163,98606716,84681609,84681610,98606717,112602165,261101283,112602141,98606697,98606696,112602140,112602145,112602146,126471227,139842921,152556708,152556709,139842923,259426858,98606709,84681598,256990088,100462826,86504647,86504648,100462828,114487565,126921548,258179324,128365969,128365968,141712909,154361812,154299749,154299750,166050507,176688996,186103731,181159899,171065926,159758868,147413734,134202408,260935992,106167691,91969684,78042860,64845936,52921066,42511226,33511729,25732578,25732577,33511727,38848560,39929359,31254168,23769864,17441793,17441792,256009377,24034788,17683360,17683361,24034791,31537578,31239460,31239461,255607710,31708267,36872084,31619038,31619037,40307315,47848314,40117250,31438313,23946986,256023777,40117249,50137800,59446184,52546051,42187328,33227143,255666027,13452239,13452238,255666025,33227137,42187322,33227170,33227124,25478816,18877095,18877096,25478818,32605647,25478831,18877103,13452242,13452241,13915632,9550885,6266792,3923688,254458909,3923690,2348979,1360732,775546,440218,248230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15936862, s2 = 9217885, dlinesl.size( ) = 2 s1 = 15936862, s2 = 9217885, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15936862, Dl.E( ) = 22, 1e-05 seconds used appending s1 = 14090464, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12399464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12399464, s2 = 2672509, int(edited[s2]) = 0 s1 = 12399464, s2 = 2672509, d1 = 7, d2 = 3 Dl.O(d1) = 271830910,167615198,178078301,187315569,261783550,167615197,260662474,167615202,156005784,143466902,130136132,130136133,143466904,271364396,156005781,270351828,116225663,130136131,143466900,156005779,260662476,178078306,178078305,178078309,272907439,130136135,116225665,102164692,102164693,116225666,116225673,258198842,118018720,118018721,260063062,143466893,143466894,156005771,143466897,143466898,143466905,143466906,156005789,157537072,157537073,168999576,168999582,157537076,145102998,145102999,145102982,145102983,157537066,261376568,145102992,154767726,145102994,131844720,118018725,259594845,75996905,63013464,51332577,51332576,63013457,75996896,89774408,103875932,118018706,131844715,131844716,145102991,131844722 Dl.O(d2) = 118018719,118018718,271488735,89774425,75996912,258967865,103875958,260807053,261854032,260584887,140878666,131844734,131844735,131844740,131844738,131844739,127523298,127523297,118018727,260807051,127983036,141346138,140878672,127523316,127523315,140878670,131844737,131844736,140878669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12399464, s2 = 2672509, dlinesl.size( ) = 2 s1 = 12399464, s2 = 2672509, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12399464, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16274314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16274314, s2 = 3699445, int(edited[s2]) = 0 s1 = 16274314, s2 = 3699445, d1 = 13, d2 = 10 Dl.O(d1) = 111771043,97845597,97845596,111771041,125580087,138913906,125580165,125580164,138913978,151615497,138913943,125580123,125580122,272513525,111771054,125580120,125580062,259874895,97845575,111771009,125580058,125580200,259874903,83983782,83983781,97845647,97845641,97845640,259874897,259256019,57760845,46410045,36548450,255790927,15002351,10332642,6800705,4264764,4264763,6800704,10332641,15002348,20907411,25255134,255415386,9074017,9062568,5925680,5925682,4267515,2551406,2551405,4267517,6804628,10337339,10757925,7107627,4474828,4474830,7107631,10757933,15553939,21577062,17684895,13277822,9062376,5925535,5925536,9062378,13277826,18669735,13298637,9080316,9080317,13298640,16027388,11128089,11128088,16027386,11998179,11998177,255438189 Dl.O(d2) = 60176611,48782184,38861941,30277441,22880525,22880524,22880526,22588702,16406270,11422660,7592592,7592588,7592587,4807362,2897357,254359927,7599291,10348259,10348258,9117417,9117418,11418712,11418714,11428811,7597555,7597557,11416444,10983267,7270046,7270047,4817790,4817789,7614803,7601221,4808616,4808617,7601225,11433026,11441242,16425907,11446608,7617897,4819864,4819863,254538045,1679468,1679466,2893909,4801303,4905300,4905299,7746180,9144742,11553031,11427318,7596282,4905314,4905316,5871281,8992931,11448870,11608358,10025189,10025188,11437555,7605227,4811427,4811423,6543163,9954863,7609042,7609043,7736220,7736222,7619861,4821145,2905290,2905291,4821146,7619862,11455818,16441843,22627861,29996640,38567116,48480557,269821571,72610425,260022395,128087462,261747189,154123090,165889290,164249065,152376530,139656062,261089366,112423474,98435340,84513932,70950433,70950434,65156792,65156791,53172026,42722361,33692244,32088040,32088041,40858791,50992729,52448809,42095862,33141697,33141696,42095861,52448808,52796302,42396746,42396745,52796327,59148530,47750016,47750015,42301345,42301342,42301343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16274314, s2 = 3699445, dlinesl.size( ) = 2 s1 = 16274314, s2 = 3699445, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16274314, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 15690701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16318241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16318241, s2 = 14157826, int(edited[s2]) = 0 s1 = 16318241, s2 = 14157826, d1 = 64, d2 = 67 Dl.O(d1) = 74262615,258879927,74262614,61485366,50007254,39989528,31312966,31312967,39989530,50007255,39989528,39989529,50007257,61485367,258879925,101837488,260715323,143110676,129780751,121087452,106827964,92516284,78476422,65192086,53206487,53206488,65192088,78476424,92516286,271772732,258445097,53206489,42756904,33727312,25920635,25920631,33727309,257235959,42756888,33727296,28616834,21380541,21380540,28616830,24319308,17932504,12706174,8632731,5613704,3486914,2070787,2070786,3486913,5613703,8632729,8632686,8632685,12706091,17932317,24318975,24319420,17932579,17932580,24319422,31838638,40536515,50572763,46723449,36840647,28343826,28343828,31838398,40536351,50572698,58095512,46723519,46723520,58095515,62065204,59876718,48485240,38572077,30001508,22631958,16444787,11457739,7621076,4821874,4821879,7621093,8525685,5524362,5524363,8525690,5524446,5524445,8329186,8329187,12329742,17487152,256014325,39989532,50007260,61485370,66889780,61485366,54632111,43888864,34616877,34616876,40472265,255202104,24265133,31777574,40470432,40470431,40470433 Dl.O(d2) = 58896603,71616226,85180542,78875041,78875040,92986641,271024210,129174858,142551358,262315315,177431379,263254220,272907052,145194005,131954956,118137455,103985207,89865343,76070057,63074044,63074045,71889805,76070062,63074056,63074055,63074072,51385107,51385106,47753704,37831224,29265394,29265395,37831226,36439451,27980349,27980350,31694855,24186637,17818021,12615331,8563268,8563269,12615334,15538527,10746443,7100031,7100028,10746438,12615726,17818556,17451369,12301955,12301954,17451368,17451408,16056874,16056873,22183684,24187550,31695467,268972837,29532049,29532050,24088189,17730840,17730839,24088188,19703180,17054908,14127503,9719358,9719359,14127506,19703202,22834113,16613011,11587608,11587605,12574490,12574489,17768828,13009331,13009329,12600559,8550967,8550966,12576882,12576881,9720361,6394373,6394372,9720357,6394425,4012727,2404816,1391571,791332,448146,448148,791335,1391576,2404822,4012738,6394445,9720477,14129430,19705867,26444915,34321613,34321635,26444942,26444943,34321651,43189814,256179625,19523542,256698861,34321628,43421353,43421354,53947421,44344313,34966791,256735533,55195157,66881992,79385827,258628808,67539337,55195145,44344305,34966785,34966786,268956296,53947419,55300978,54624390,43881936,34610749,34610748,43881934,34966789,34966790,44344311,44456468,35081563,26996635,26996636,256744549,44456488,35081583,26996654,26996655,35081584,43881861,54624284,55195146,55300966,55300967,55300959,44456446,44456447,55300961,67639223,67539338,55195147,55195148,67539339,55300982,55300981,255790272,52353004,268993074,39431727,30827488,23399730,17127681,17127683,23399736,25857520,25857519,255463996,43871088,38069666,29506123,22166096,16043563,11139906,11139905,16043561,22166094,29506118,36712276,46600463,51189045,49361320,46600464,36712279,28219621,28219622,36712281,36712072,36712071,33858490,26037105,19359314,13847192,13847193,19359316,14015133,14015132,19566303,26288442,34156641,268509201,19333108,14108922,9705211,9705212,14108924,19606001,19606002,14202250,14202251,19826258,26231456,268301322,43177687,255863788,34278901,43377819,34627606,34627608,42894752,33849985,26029066,19606229,14048813,9660237,9660238,14048814,19605584,14048197,9697875,9697879,6419166,4027126,4027123,6419157,9763125,9660211,6352493,3985882,3985879,6352482,9409539,9409541,13734946,13737026,19226565,13735064,9411811,9409725,9409724,9411922,9411923,6418807,5855802,3655341,2186382,1268380,1268378,2186377,3655330,5855785,8970012,13159835,9698137,6378530,6378528,9698131,13720574,9398542,6157607,6157606,6378496,4001951,4001950,3852961,2308383,2308381,3852869,3852866,6157560,6419201,6419200,9763184,13720941,9398818,9398816,13720906,13737377,9411261,9411260,6166123,6166121,6165960,6165963,9411091,9411015,9411014,13737030,19226852,19226851,19606695,14049314,9660643,9660642,14049313,13787009,9452901,9452902,13736111,9452698,9399158,9399159,9398397,9398396,13720409,254606216,11147854,7393970,7393971,9410124,6165412,3857890,2311290,1340933,1340923,1340924,765842,765841,1340992,2311410,3858126,6165813,9410842,13736808,19228978,17387047,17387048,23710589,31199006,24099464,17740805,17740806,17740801,17740802,21493913,21493914,21493054,15487029,10709672,10709671,254868268,17450655,12301380,8308426,5360905,3295525,1938241,1938240,3295335,3295406,1938155,1107078,621207,621206,1107067,1938134,3295365,5360659,5513603,8515377,8263024,5331080,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355432,8301300,12291624,17430966,23758061,254590758,17430866,23757970,255559494,34600796,34600798,42628723,33604014,33604015,256722006,28219519,36712180,36712358,28219692,255313762,28219022,28219021,28219386,28219387,28219748,28219749,23844163,23844164,31336115,28219743,21024616,21024296,15100211,10414298,10414300,12617573,13491670,18925047,25536718,33298691,42280074,42280078,42280077,37420478,28878799,255414551,15575572,21603438,23844151,31336098,36712156,28219502,28219503,36712159,46600368,42693441,42693440,38437126,256955669,46600084,36711892,28219208,25856991,19200042,19200043,25856995,29878124,29878123,38436970,48340614,46600345,36712129,28219467,21024348,21024350,28219472,36712137,46600350,57977479,269336552,38436988,38436992,46873763,42416829,33426133,25657904,25657905,33426136,28497434,21279894,21279892,28497431,36994897,28497390,21279871,15317410,10579513,9305774,6095681,6095682,9305778,11903422,16988721,23251725,22080024,15974492,11089267,268082437,22080022,29410480,37973888,42416649,42416650,42416736,42416737,52818309,52242687,41905416,32966044,25244184,25244185,32966046,32966050,41905426,52242707,64090194,77234578,91150394,91150399,91965248,91965247,86564245,72965857,60228340,48833677,48833676,60228339,72965847,72965846,60697177,256269326,72983748,65914971,53847475,43323105,43323079,34225074,26350908,26350907,34225073,43323076,42059932,33110683,25375307,18790314,18790313,256122645,42059924,52403834,64259275,72965869,60228351,48833692,48833693,43323048,34225063,26350902,26350901,34225060,43323041,37893226,37893227,44615097,44615096,55463826,60248444,60248430,48855818,38936600,30350748,22949034,22949033,30350746,38936598,39291371,30693960,23278896,22949041,16712226,11670673,7779966,7779965,11670669,16712222,21995585,15897035,11020411,11020410,15897032,21995580,29325157,37893288,47406402,58793610,59213510,47815090,47815089,59213509,59213562,59213561,47997795,38085696,29521282,29521285,38085701,47997804,38430632,38430633,48335032,48335033,38430430,256955445,59720021,59720026,48335076,48335075,59720024,65246441,72456122,59720098,48335154,38430491,29869399,22509987,22509986,29869395,38430484,38430496,38430495,48335159,59720100,61239942,59720108,59720109,53466196,42991048,33936735,26102714,26102713,33936733,42671018,38020979,38020978,47934675,256931848,51342654,63023454,70140823,57477662,57477640,57477639,61471262,49993818,39977694,31302896,31302897,39977696,49993821,61471267,74249537,67592574,67592573,71480503,75590553,75590554,81264712,67796687,55454779,55454780,65161166,72304090,59570018,48183930,38274569,29707918,29707919,38274572,40884898,40884899,46170839,36350816,36350815,42726868,53176386,46170847,36350820,27915634,20769261,14886528,10235966,10235965,10235963,10235962,14886522,20769248,27915617,36350784,46170795,48183935,55454778,44606213,44606212,55454775,67796682,78867239,65531046,65531045,67796699,67796698,71480490,58751700,47365671,37460222,37460223,47365675,38274581,29707924,29707923,38274579,48183943,269811243,72304120,59570044,57477692,46170831,36350809,36350808,42726866,257183034,57477702,57477682,46170823,46170824,57477684,70140827,57477672,57477671,70140826,67796690,57477622,57477625,70140784,77286198,64137240,57787829,46432530,46432529,47055805,58430369,59726848,70140805,83665471,71151811,257786296,46170806,36350788,36350787,46170803,257196404,71480494,58751705,57761392,52668220,42280898,42280897,52668219,59755670,72489860,256641310,70140814,70140815,58430372,58430373,58430362,58430363,256125896,48373173,42121854,36548955,36548953,46410542,57761335,256125894,40442289,40442290,50478913,46410553,46410552,57761351,70456427,70456450,70456449,77512767,77512766,91442669,97846253,83984313,79022159,65670812,53622837,43122134,34046550,34046551,43122137,53622841,46410564,46410565,57761371,70456445,83984327,84023218,70488584,57787822,46432526,46432527,57787825,70488586,84023220,88334333,74706780,70456406,70456407,83984299,74769217,61971803,50478911,256641328,74769219,88401586,88137703,81635301,81635300,80270332,66840566,269172239,34563681,26576900,26576899,34563677,43836210,54581186,50265813,40246164,31559815,24055074,17700974,17700975,24055077,31559819,40246170,50265821,61744127,74525826,61744116,54581202,54581201,66840573,66840542,54581175,43836199,43836200,54581178,66840547,80270326,94326718,80270317,66840534,60231063,48836464,38915649,256994657,48764138,48764139,38915650,38915651,48836470,58162227,58162226,70876408,84433841,98343414,258697863,71474677,71601311,71601312,74020608,70846870,58132557,58132556,70846869,78536550,65246432,53256834,42803941,42803940,38196301,38196302,37598231,37598229,36758020,28262855,21060802,15127990,15127991,21060806,22547563,16371574,11393554,7569970,7569969,11393552,16371569,22547551,255890778,43400426,53926295,50543965,40508314,31812469,31812470,40508315,37598241,37598242,47502194,256442800,29903064,22547549,22547548,29903062,37837714,47760234,255890794,37629368,37629367,257018829,30679499,23262896,16999515,11913377,7969196,7969195,11913372,16999509,23262886,30679483,38082969,47995216,255890776,41426252,255453662,37597699,47501605,39707516,31030544,23549446,23549447,31030547,29992249,22624123,22624124,18304585,18304586,254648382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16318241, s2 = 14157826, dlinesl.size( ) = 2 s1 = 16318241, s2 = 14157826, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16318241, Dl.E( ) = 70, 3.19e-05 seconds used appending s1 = 11760858, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13787770, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14283762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14283762, s2 = 9436464, int(edited[s2]) = 0 s1 = 14283762, s2 = 9436464, d1 = 96, d2 = 107 Dl.O(d1) = 84423127,70865759 Dl.O(d2) = 75932502,62951644,62951645,75932504,257725537,41098861,32289636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14283762, s2 = 9436464, dlinesl.size( ) = 14 s1 = 14264370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15080073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16330997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14141310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13851034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5454794, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5454794, s2 = 8678324, int(edited[s2]) = 0 s1 = 5454794, s2 = 8678324, d1 = 10, d2 = 16 Dl.O(d1) = 224988433 Dl.O(d2) = 198982290,205263696,198982296,191553173,182909261,173011513,161846334 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5454794, s2 = 8678324, dlinesl.size( ) = 22 s1 = 5888264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5989690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13916522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13916522, s2 = 11454188, int(edited[s2]) = 0 s1 = 13916522, s2 = 11454188, d1 = 39, d2 = 0 Dl.O(d1) = 238409282,239049326,239637892,240183076,240176773,240176774,240680700,240176780,266922633,239631454,239042365,238401898,237699867,237699868,266752853,239631459,239631447,239042353,238401888,237699860,236927302,236927303,237699863,238401892,239042359,239631448,240176790,240680709,266870611,239042368,239042361,266814101,239049326,239637892,266923203 Dl.O(d2) = 178143516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13916522, s2 = 11454188, dlinesl.size( ) = 14 s1 = 13903180, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15226768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12066083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12066083, s2 = 6120991, int(edited[s2]) = 0 s1 = 12066083, s2 = 6120991, d1 = 1, d2 = 1 Dl.O(d1) = 266635911,266770921,274824565,240329487,266938686,266984761,241709282,242102361,274920759,267144527 Dl.O(d2) = 266635911,266770921,274824565,240329487,266938686,266984761,241709282,242102361,274920759,267144527 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12066083, s2 = 6120991, dlinesl.size( ) = 2 s1 = 12066083, s2 = 6120991, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12066083, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13931892, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14153306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14815610, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14815610, s2 = 11628466, int(edited[s2]) = 0 s1 = 14815610, s2 = 11628466, d1 = 80, d2 = 138 Dl.O(d1) = 241381272 Dl.O(d2) = 274997204,275013529,245139030,245139029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14815610, s2 = 11628466, dlinesl.size( ) = 14 s1 = 12066759, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13957942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12067621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639449, s2 = 11629156, int(edited[s2]) = 0 s1 = 11639449, s2 = 11629156, d1 = 38, d2 = 15 Dl.O(d1) = 267530428 Dl.O(d2) = 246207698,267423016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639449, s2 = 11629156, dlinesl.size( ) = 44 s1 = 11664088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12414894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14028691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12067675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12414902, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11316795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14188980, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11012947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11361399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12067865, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13997872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13997872, s2 = 14128188, int(edited[s2]) = 0 s1 = 13997872, s2 = 14128188, d1 = 6, d2 = 6 Dl.O(d1) = 263509320,141017006,127668939,113801011,99787233,99787234,113801013,127668945,141017011,153683060,165462362,176142225,176142226,185604562,185604560,193861552,193861550,185604558,176142209,165462349,153683053,141017006,127668939,113801011,99787233,99787234,113801013,127668946,141017013,153683061,165462365,165462350,165462351,176142213,185604565,263899713,193861548,200940135,200940142,193861560,193861559,200940141,206911805,200940145,193861564,185604580,185604578,176142222,165462359,153683058,261719355,141017015,153683063,165462362,176142225,176142226,185604562,263509320,141017006,127668939,113801011,99787233,99787234,113801012,127668942,141017008,153683056,165462354,176142219,185604571,262713009,165462352,176142214,185604566 Dl.O(d2) = 263509320,141017006,127668939,113801011,99787233,99787234,113801013,127668945,141017011,153683060,165462362,176142225,176142226,185604562,185604560,193861552,193861550,185604558,176142209,165462349,153683053,141017006,127668939,113801011,99787233,99787234,113801013,127668946,141017013,153683061,165462365,165462350,165462351,176142213,185604565,263899713,193861548,200940135,200940142,193861560,193861559,200940141,206911805,200940145,193861564,185604580,185604578,176142222,165462359,153683058,261719355,141017015,153683063,165462362,176142225,176142226,185604562,263509320,141017006,127668939,113801011,99787233,99787234,113801012,127668942,141017008,153683056,165462354,176142219,185604571,262713009,165462352,176142214,185604566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13997872, s2 = 14128188, dlinesl.size( ) = 2 s1 = 13997872, s2 = 14128188, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13997872, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 12067943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12554068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079399, s2 = 14086120, int(edited[s2]) = 0 s1 = 14079399, s2 = 14086120, d1 = 31, d2 = 33 Dl.O(d1) = 71764652,59020617,47616411,47616410,59020616,71764650,85355003,85355005 Dl.O(d2) = 59020618,47616411,256124326,29129182,37691360,44396229,35020875,26940008,26940009,35020868,35020869,44396221,50567881,62060397,55244165,44396070,35020723,26939876,26939874,256739701,55244161,259782065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079399, s2 = 14086120, dlinesl.size( ) = 34 s1 = 11413173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11679632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032249, s2 = 11438012, int(edited[s2]) = 0 s1 = 11032249, s2 = 11438012, d1 = 31, d2 = 27 Dl.O(d1) = 15041617,10368860,6831201,254325373,1475535,834336,470330,264354,146336,146334,264358,254220025,4285947,6831409,10369085,13295679,9077588,9077589,13295682,15040789,10368044,10368045,15040793,12713991,8638598,5618101,3490059,2072996,2072995,3490055,5618092,8638583,10345471,10345470,15017508,15055175,20867167,15055169,13297053,9078934,269071187,77259551 Dl.O(d2) = 261956493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032249, s2 = 11438012, dlinesl.size( ) = 32 s1 = 12554112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160258, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10820101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14168712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14017686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14264902, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14264902, s2 = 11262850, int(edited[s2]) = 0 s1 = 14264902, s2 = 11262850, d1 = 26, d2 = 14 Dl.O(d1) = 256138876,256138878,270000547,52716590,42329447,33348021,25587792,25587791,25587790 Dl.O(d2) = 258418188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14264902, s2 = 11262850, dlinesl.size( ) = 14 s1 = 10993433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993433, s2 = 7639750, int(edited[s2]) = 0 s1 = 10993433, s2 = 7639750, d1 = 129, d2 = 125 Dl.O(d1) = 3929650,3860735,2312874,1341740 Dl.O(d2) = 270468684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993433, s2 = 7639750, dlinesl.size( ) = 52 s1 = 10983709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983709, s2 = 11162100, int(edited[s2]) = 0 s1 = 10983709, s2 = 11162100, d1 = 3, d2 = 0 Dl.O(d1) = 2341344,3910401,3954996,6310295,255301217,26250089 Dl.O(d2) = 34114549,34114548,34114547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983709, s2 = 11162100, dlinesl.size( ) = 2 s1 = 10983709, s2 = 11162100, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10983709, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14020842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020842, s2 = 7855435, int(edited[s2]) = 0 s1 = 14020842, s2 = 7855435, d1 = 7, d2 = 5 Dl.O(d1) = 254294898,9511102,9426157,9426160,9338771,9338768,6279904,6279908,6176571,6176568,6126713,6126717,3932276,3833772,2296912 Dl.O(d2) = 2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,3833761,6127611,3890265,3890264,6215356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020842, s2 = 7855435, dlinesl.size( ) = 8 s1 = 7855434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7855434, s2 = 14020841, int(edited[s2]) = 0 s1 = 7855434, s2 = 14020841, d1 = 8, d2 = 7 Dl.O(d1) = 13675344,9365128,6134480,3837967,3805933,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841 Dl.O(d2) = 2279839,3662066,3802999,3802994,6077973,9278899,9278903,6805783,4268359,3661965,2191069,1271816,1271813,2191057,254294899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7855434, s2 = 14020841, dlinesl.size( ) = 10 s1 = 14022190, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14024938, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12069429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14025662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11001617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14027176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13217256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13217256, s2 = 8434810, int(edited[s2]) = 0 s1 = 13217256, s2 = 8434810, d1 = 23, d2 = 26 Dl.O(d1) = 24191616,25687248,19063420,19063421,25687250,19144650,19144648,22431244,19004556,13669670,9360890,9360886,7245653,4568322,2917281,2917279,4841064,7651325,255108857,255037154,7477690,7477687,4742661,2858276,1658818,943843,532351,298614,298615,298622,298624,532373,943888,1658913,2858470,4743125,7477656,7477660,11263899,16203427 Dl.O(d2) = 259956763,85233464,71668552,58946956,47564112,47564111,58946954,71668548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13217256, s2 = 8434810, dlinesl.size( ) = 14 s1 = 14027582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14027582, s2 = 11155936, int(edited[s2]) = 0 s1 = 14027582, s2 = 11155936, d1 = 22, d2 = 12 Dl.O(d1) = 7720023,7720024,11597366 Dl.O(d2) = 38828392,38828393,48735780,48735779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14027582, s2 = 11155936, dlinesl.size( ) = 40 s1 = 14029416, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11017241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14032802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13233662, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14032860, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14032860, s2 = 14265145, int(edited[s2]) = 0 s1 = 14032860, s2 = 14265145, d1 = 0, d2 = 0 Dl.O(d1) = 17591775,23934757,31425496,36850613,28353103,28353102,36850610,32317731,24703475,24703474,24703478,32317735,38178881,29612069,22261548,22261545,29579323,29612431,37969537,29405439,22074778,22074777,29405436,37969534,29877992,22521340,22521338,29877988,268948257,59724939,72460709,86059003,100022245,114049640 Dl.O(d2) = 17591775,23934757,31425496,36850613,28353103,28353102,36850610,32317731,24703475,24703474,24703478,32317735,38178881,29612069,22261548,22261545,29579323,29612431,37969537,29405439,22074778,22074777,29405436,37969534,29877992,22521340,22521338,29877988,268948257,59724939,72460709,86059003,100022245,114049640 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14032860, s2 = 14265145, dlinesl.size( ) = 2 s1 = 14032860, s2 = 14265145, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14032860, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14265146, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14033414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12417422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14185496, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14036298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12071125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14040198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14040198, s2 = 14905460, int(edited[s2]) = 0 s1 = 14040198, s2 = 14905460, d1 = 0, d2 = 8 Dl.O(d1) = 19293123 Dl.O(d2) = 7716274,7716276,11591684,9687309,7716274,7716276,11591684,9687309,7716274,7716276,11591684,9687309,7716274,7716276,11591684,9687309,7716274,7716276,11591684,9458551,6201735,6201736,9458553,13793792,255696255,25957625,33766285,42797984,53250321,65239783,78529948,92577385,106896482,121163527,134972421,262013187,171541965,181541150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14040198, s2 = 14905460, dlinesl.size( ) = 2 s1 = 14040198, s2 = 14905460, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14040198, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14040510, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14187049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121977, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14041428, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12418564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12554822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14043196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043196, s2 = 13309759, int(edited[s2]) = 0 s1 = 14043196, s2 = 13309759, d1 = 1, d2 = 3 Dl.O(d1) = 7863863,7863869,9713409,9007301,9007298,13213712,18594335,25151310,32556991,25257845,24601122,20957027,20957030,18401817,18401815,18401911,13070799,9713624 Dl.O(d2) = 9491657,9491653,9713661,14118697,19348425,19348426,26024638,33174311,25431649,25431648,33174308,256390672,21923853,15838143,15838144,21923856,29243255,256909535,259348301,113392805,258499988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043196, s2 = 13309759, dlinesl.size( ) = 2 s1 = 14043196, s2 = 13309759, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14043196, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 13309760, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11061523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12072337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12072337, s2 = 3586156, int(edited[s2]) = 0 s1 = 12072337, s2 = 3586156, d1 = 5, d2 = 0 Dl.O(d1) = 61680035,74462819,88075039,102060935,116118835,130028648,143361571,155905252,167520952,177992836,187240992,182422953,172470998 Dl.O(d2) = 121784138,107399373,258674670,65542483,53518582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12072337, s2 = 3586156, dlinesl.size( ) = 2 s1 = 12072337, s2 = 3586156, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12072337, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14265406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14265406, s2 = 9192688, int(edited[s2]) = 0 s1 = 14265406, s2 = 9192688, d1 = 1, d2 = 1 Dl.O(d1) = 126272184,112409132,98420206,84498492,70934303,58217028,47564999,37658920,29109156,28471917,21251779,21251778,28471915,28690169,21439567,21439569,28690172,256300835,28366664,36864731,28369487,255816318,31712243,24204593,24204592,21150137,21150136,28366511,22141243,16023762,11125670,7379423,7379424,11125674,12226812,12226813,17356289,21809790,28369033,255812085,21152742,21152743,15747984,10906847,10906848,15747992,21809829,29108613,255812095,15198668,10482870,10482872,15198677,21153955,28370911,28368018,28368019,29339569,22008103,15907002,11028483,7302897,7302896,11028481,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151500,15198594,15198596,19104596,25737603,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482601,15198186,16946724,11860649,7926817,5039138,5039139,7926821,11860659,16946738,23219474,30642529,23220811,16947885,16947884,23220809,30643671,39240646,49166708,60566066,260067643,258972538,131982147,127627311,127627310,140976903,127627305,113758598,113758597,257733142,257146574,113758606,127627313,258346476,140976910,258346478,165425302,176107560,260215866,165425300,165425301,176107560,165425299,153644218 Dl.O(d2) = 126272184,112409132,98420206,84498492,70934303,58217028,47564999,37658920,29109156,28471917,21251779,21251778,28471915,28690169,21439567,21439569,28690172,256300835,28366664,36864731,28369487,255816318,31712243,24204593,24204592,21150137,21150136,28366511,22141243,16023762,11125670,7379423,7379424,11125674,12226812,12226813,17356289,21809790,28369033,255812085,21152742,21152743,15747984,10906847,10906848,15747992,21809829,29108613,255812095,15198668,10482870,10482872,15198677,21153955,28370911,28368018,28368019,29339569,22008103,15907002,11028483,7302897,7302896,11028481,15906999,15198072,15198070,16945049,21153375,15198262,10482632,10482635,15198276,21151500,15198594,15198596,19104596,25737603,23675594,23675595,23675584,17355766,17355768,17821980,15195953,10481449,10481447,15195968,21149803,21153280,15198195,10482603,10482601,15198186,16946724,11860649,7926817,5039138,5039139,7926821,11860659,16946738,23219474,30642529,23220811,16947885,16947884,23220809,30643671,39240646,49166708,60566066,260067643,258972538,131982147,127627311,127627310,140976903,127627305,113758598,113758597,257733142,257146574,113758606,127627313,258346476,140976910,258346478,165425302,176107560,260215866,165425300,165425301,176107560,165425299,153644218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14265406, s2 = 9192688, dlinesl.size( ) = 2 s1 = 14265406, s2 = 9192688, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14265406, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 3384373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15098257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15098257, s2 = 11096124, int(edited[s2]) = 0 s1 = 15098257, s2 = 11096124, d1 = 30, d2 = 34 Dl.O(d1) = 116039,212247,385564,385581,385580,385688,385687,690734,690550,690552,1190473,1259493,267777747,267852837,5715475,8775894,255222737,24646496,32244592,41036946,38312986,38312985,48222905,59609782,72344086,85937947,87768136,74163373,256232576,44438298,35064156,35064155,257308841,59609757,59609756,72344071,270843443,113911571,113911596,99893109,85937975,85937974,81086028,81086027,95143479,99893091,99893092,99893094,258760461,259385361 Dl.O(d2) = 257198623,42152286,52509856,52509855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15098257, s2 = 11096124, dlinesl.size( ) = 2 s1 = 15098257, s2 = 11096124, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15098257, Dl.E( ) = 36, 1.98e-05 seconds used appending s1 = 14084360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051138, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11138617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052796, s2 = 12914447, int(edited[s2]) = 0 s1 = 14052796, s2 = 12914447, d1 = 20, d2 = 14 Dl.O(d1) = 40054921,31373679,31373680,40054923,50074801,255567256,50210973,50210974,61692724,74475230,74006511,68072475,55673549,55673548,55673558,55673559,55673552,55673553,68072479,81562376,81562384,68072492,61692793,61692794,70705449,268610810,61692721,50210971,40189118,31504155,24005568,24005567,31504152,40189111,50210959,46612095,36724490,36724489,35338047,35338048,44764252,44764255,55673547,68072471,64534468,64534469,74475267,61692774,50211016,40189148,40189147,46612064,57988230,70705418,70705417,70705422,61692777,57988268,57988217,267962378,21033544,28230708,36724462,46612058,57988223,52094878,41781703,32861269 Dl.O(d2) = 254356490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052796, s2 = 12914447, dlinesl.size( ) = 14 s1 = 11179723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11099903, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10670901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10670901, s2 = 11111232, int(edited[s2]) = 0 s1 = 10670901, s2 = 11111232, d1 = 11, d2 = 0 Dl.O(d1) = 257521175,70935681 Dl.O(d2) = 58218394,256848695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10670901, s2 = 11111232, dlinesl.size( ) = 10 s1 = 15197716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14191106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14191106, s2 = 15197715, int(edited[s2]) = 0 s1 = 14191106, s2 = 15197715, d1 = 1, d2 = 11 Dl.O(d1) = 10605041 Dl.O(d2) = 6997129,5867300,3663098,2191817,1272446,1272445,2191815,3663092,5867282,8987054,13183835,18554231,25102830,25102831,32804691,32804781,32804780,41724800,52039894,41725257,41725109,32804965,25103056,25103055,32804962,41725107,50480065,40443666,31749131,31749132,254862392,41984154,33040354,255654419,18735546,25312590,33040353,41492861,51763405,51763517,257392916,38565503,256965871,31874756,31874757,40579125,50623623,41492979,32613184,24948159,24948160,32613187,41492984,51763525,63542027,64544259,257236164,42259479,52645094,258411875,63542020,63542019,257161126,64544255,256094306,51763416,41492869,41492871,41492969,51763428,41492880,32613075,32613074,41492877,51763425,49772589,39754024,31076388,23592965,17280843,17280842,20825568,20825567,16903650,11829727,10021417,10021415,12934030,16554994,11538999,11539000,7999238,7999239,11949304,17034781,23294473,30711068,24378753,22277390,254219848,10051296,6604784,6604782,10051286,14607307,20350691,27285774,35410864,268599694,24948145,24948147,255789606,26587047,19782753,14169819,9741295,254962033,14169796,9741277,6405429,6405428,9741274,9741280,9741254,9741253,14169768,19782673,19782664,14169750,14169749,9741249,6405413,4018640,2408059,1393381,1393382,2408064,4018646,6405418,9741260,14169777,19782697,255312445,14169843,19782791,23847096,26587100,19782792,19782689,19782658,14169745,9741238,6405410,6405411,9741240,14169747,14169757,19782670,26586950,34573793,43845262,43845428,43845429,54589800,66848533,54589808,43845440,43845439,47906837,54589798,43845442,43845441,47906767,47906766,37990709,37990708,34573892,26587036,19782744,19782745,26587037,34573894,29428705,22097478,22097479,29428706,37990614,47906771,39909265,31232873,31232872,39909263,47906798,37990655,29428737,29428736,29428626,22097514,15988769,15988770,22097447,15988722,11099424,7360856,4649610,2800701,1624630,923768,923769,1624632,2800704,4649616,7360873,11099456,15988771,22097518,255450684,15988714,15988715,15988767,22097511,29428672,29428673,37990665,47906802,59301705,72037976,71976985,59239518,47842658,47842659,59239519,71976987,73076716,73076717,85564185,84717093,71147179,257784814,47050929,58425587,71147178,71976983,71147121,71147120,259169954,81255587,95316025,81255664,67786247,55442641,44592387,44592386,256755214,44592394,55442654,67786273,81255692,95316109,109572222,95316075,95316077,109572197,112644131,98647431,98647428,85701952,72116232,59384246,59384247,49270671,39344958,39344957,44592344,55442573,67786168,81255589,81255613,67786188,67786187,81255611,258541030,95316087,81255686,67786269,55442652,44592393,44592392,55442650,65129227,65129229,78410819,67786221,67786220,67786171,67786172,81255596,67786266,55442648,44592391,256755212,67786262,81255681,72847023,72847024,81255636,95314156,259169950,258412263,52650954,42265021,33285169,25524992,18915710,18915711,25524993,33285172,42265029,52650974,64550569,77733232,91661394,77733209,64550543,64550544,77733211,91661395,77733241,64550575,64550576,52897839,52897840,64819574,78014519,91938731,78014495,64819547,52897817,42491044,33494484,33494483,42491042,43852333,34580745,26593519,19788222,19788220,19788221,25718430,19089305,13628943,9744202,6407346,6407345,8337024,12340456,17501327,23841942,255269788,42491001,52897776,64819497,61264059,61264058,74044040,87647337,78014474,78014475,255269766,61264082,49784975,39765402,31087057,31087058,39765403,42491004,49784962,39765393,39765394,49784966,49784973,61264078,74044075,87647365,100511496,86549836,72950660,72950659,86549833,100511492,106135368,91938700,78014457,78014456,91938697,86549812,258182195,60211758,72950648,257210912,78014464,64819521,52897801,52897793,42491016,33494466,25718409,25718408,33494462,42491011,49784968,49784967,48815878,38894587,38894586,48815876,60211749,72950636,86549794,100511457,114541462,271823725,114541458,100511454,100511453,114541457,128424223,122256916,107847910,100284216,97809095,83949883,70423121,70423122,83949885,83953776,83949887,70423124,57728212,46377895,36518625,28053957,28053956,36518623,46377892,57728206,70423116,72932523,72932522,86531056,97684719,97809076,83949865,70423105,57728197,57728198,65933800,70423107,57728199,57728200,70423109,70302238,258616715,72932529,60193150,258180869,84593238,71028729,58312924,58312923,71028726,72932508,60193123,257293002,38874027,48796337,258059882,21471658,21471659,22890370,16661159,11628094,11628093,16661156,22890366,27956509,27956510,256205908,22890353,30288266,36414626,36414627,46267283,46267275,46267278,50118650,61598305,74374485,87976210,101948248,113469274,270894640,72932506,72932505,86531036,97684713,111603094,114513761,270335268,72932502,60193120,60193121,257891300,48796340,60193127,48796345,38874032,30288277,30288272,30288271,38874025,48796333,60193118,72932495,70302221,57611743,57611742,70302218,57611741,46267272,36414614,36414613,40098207,40098206,50118651,61598307,74374486,258877752,115991986,129889229,126384836,112513786,98518670,84593288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14191106, s2 = 15197715, dlinesl.size( ) = 2 s1 = 14191106, s2 = 15197715, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14191106, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 12555298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12421038, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14059878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14060280, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12421278, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14063280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11251237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251237, s2 = 15104521, int(edited[s2]) = 0 s1 = 11251237, s2 = 15104521, d1 = 5, d2 = 6 Dl.O(d1) = 258194730,49033859,49033860,60437736,73184549 Dl.O(d2) = 258924706,114829202,259549726,86796795,73184583,60437767,49033880,49033879,60437765,73184579,86620011,86620010,91164575,258301678,52251241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251237, s2 = 15104521, dlinesl.size( ) = 10 s1 = 14064226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12421986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12421986, s2 = 9020480, int(edited[s2]) = 0 s1 = 12421986, s2 = 9020480, d1 = 6, d2 = 20 Dl.O(d1) = 14072536,9678270,6365367,6365368,9678271 Dl.O(d2) = 26808457,34861546,44213377,45033384,49476192,258228601,259476301,259845612,123150297,260450442,66670929,54446217,43745477,43745478,54446219,256792308,87364129,82918574,69397790,56817451,45651018,35978766,35978767,45651021,35978784,34877520,26821036,26818332,19954484,14288955,14288959,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423286,2423284,4041577,2421270,2421267,4041606,6444527,9805694,14269020,19922143,26760906,34426201,39614595,45002478,35531701,255734564,23651297,17334273,17334272,254713474,254481916,13598885,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442094,4081280,4081396,2442147,1412202,803508,803507,803511,455322,455323,744233,422726,422727,744236,1304304,2248494,254443851,2248482,2248483,254443855,254664210,13637718,9338662,9338663,9475350,6212857,6212858,9475352,12560006,12560005,17751288,23767267,23767268,254454528,12447096,255285832,19826891,26638760,255285834,54644170,55287707,55287708,256708638,257096875,59018744,256185174,31487137,31487138,25735133,19102355,254670374,6117329,6117331,6360542,6360540,9670539,14061131,10909744,10909745,15753392,13452521,9199758,9199755,13452517,16889336,16889338,12315248,9233270,6046945,3783456,3783457,6046950,9233281,13496079,18931289,17731955,12545255,8504306,5504735,5504734,254664302,17731952,254454536,23800811,17467994,12315240,8318586,5367903,5367902,5538109,254610949,12587736,254958854,4546508,2733128,1583741,1583742,2733133,4546516,7215733,4546465,4546462,6795251,6795252,10326552,14995947,15754493,15754492,12677003,12677004,13054759,13054761,14995916,13923492,13923496,19455982,23800781,17813791,12611858,9697626,9697629,14099544,15754353,21820790,29127610,22362987,16209625,16209628,13607240,9317546,9317548,12626008,12625974,8571876,8571873,8571884,8571881,12625983,17831027,19208867,24157666,24185556,21820645,15754220,14965461,10297921,10297920,14965452,12592003,12591899,12591898,17790411,24157506,31666826,24157480,24157479,31666823,40361397,40361396,33432954,25663612,19043780,19043779,24185714,17817121,12614622,8562722,8562723,12614631,17817139,23785019,31270334,31170726,23682967,23682968,23682974,23682973,31170734,31796402,40491308,33823894,31707956,24200609,19332964,13824912,13824911,19332959,26006491,31170779,25636478,19020158,13575552,13575554,19020165,14061919,14061920,19621520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12421986, s2 = 9020480, dlinesl.size( ) = 2 s1 = 12421986, s2 = 9020480, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12421986, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 11156619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14066862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14066862, s2 = 10501592, int(edited[s2]) = 0 s1 = 14066862, s2 = 10501592, d1 = 14, d2 = 22 Dl.O(d1) = 254355380,22299735,16154289,16154286,22299727,255824734,22313747,256399265,48142067 Dl.O(d2) = 259996686,99807592,85854882,259378797,99807593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14066862, s2 = 10501592, dlinesl.size( ) = 2 s1 = 14066862, s2 = 10501592, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14066862, Dl.E( ) = 24, 2.31e-05 seconds used appending s1 = 12422286, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12422286, s2 = 2703737, int(edited[s2]) = 0 s1 = 12422286, s2 = 2703737, d1 = 1, d2 = 1 Dl.O(d1) = 227953906,226087467,223944270,221468934,218579988,264703991,205880441,199714471,192424647,183957731,174295138,163447044,151563966,138861032,125527703,111720214,97797357,97797358,111720217,97797360,83938261,70412101,70412100,83938258,97797356,106710068,92403525,78367864,65085731,53099833,42649080,42649079,257821895,78367898,65085761,65085760,78367899,65542012,53518097,53099836,42649082,33621437,33621438,42649083,33982363,256155001,25820963,33621442,257229549,65085767,78367903,78367901,78367902,92403544,106710078,112521769,98527052,84602248,71038205,58322687,257435979,37075433,28572335,21344278,15369499,13005038,13005039,18321140,24809784,32444429,256972406,32444427,24809780,24809781,18321143,13005041,8853985,5770676,3594681,2172778,2172777,2175310,1260202,1260201,2175307,3640015,5833435,8937355,254896465,8840942,12986780,18296126,268462911,24600824,18321111,13005000,8853949,5770646,3594661,2143530,2143531,3594663,5770649,8840939,12986776,18296122,24580857,18137846,18137844,24580846,18137837,12861869,8746916,254889243,18137838,24580847,24580835,24580836,32166192,40945262,51087993,62719461,75665639,89428880,88293461,74668377,61876550,53491251,53491250,65514784,65514786,53491252,43013020,33956220,26119121,26119122,33956223,43013028,48082169,48082168,57789579,57789580,70490284,78847199,65514819,65514820,65514794,53491280,43013039,43013036,36493171,36493169,257250150,70394074,83920240,92953924,78847270,256722966,53491312,256691542,43013077,53491333,65514869,78847292,92953949,100639231,92953903,78847235,78847234,92953900,86003990,72407618,255704536,48285060,59672278,65514851,78847278,92953928,98443481,256199928,70958584,58241952,46874670,46874671,58241953,70958582,84521918,80350649,66924540,66924539,80350647,94404918,105644590,91418484,91418485,85497484,77487709,77487710,77487712,64323759,52456686,52456685,64323757,77487708,91418463,105644574,99052740,85127891,71557386,71557385,85127887,259330719,71557417,71557416,72080128,71557419,71557420,85127921,85666675,99615497,113629449,271339580,99615485,85666668,72080127,258080887,58830050,58830061,47444058,37536008,37536007,47444056,58830028,58830055,58830054,71557392,58830031,47444035,37535996,37535995,268927337,37535997,47444037,269322525,58830045,47444043,47444042,58830042,71557406,85127911,85127960,85127910,85127909,99052760,113041010,113041051,99052810,99052759,85127908,259330717,113041008,126893952,136731024,136731023,149873466,152387927,152387926,154253214,151709550,151709549,139666979,126295894,126295895,139666974,126295889,112432230,98443462,98443463,112432231,126295891,139005363,269849410,97916684,111850898,125666648,139005366,151709536,151709535,152387925,152387924,164260193,175064395,165264739,153465434,153465433,165264736,175965992,185448003,177455200,177455201,175965999,165264742,153465435,260420280,129819721,115918921,101871918,87897694,87897695,101871920,114834048,100781977,86801190,73590235,60840584,60442390,60442389,61516459,257184336,31338979,23846438,17504801,17504802,17186837,17186838,268429587,39507927,49438871,60840600,73590249,73590250,87212471,101213423,115291755,129220196,129220219,129220218,129220217,140241646,142591510,129220207,270844552,87212489,258140136,258225421,258704628,71557464,58830099,47444091,37536037,28990974,21706730,15664910,10844004 Dl.O(d2) = 227953906,226087467,223944270,221468934,218579988,264703991,205880441,199714471,192424647,183957731,174295138,163447044,151563966,138861032,125527703,111720214,97797357,97797358,111720217,97797360,83938261,70412101,70412100,83938258,97797356,106710068,92403525,78367864,65085731,53099833,42649080,42649079,257821895,78367898,65085761,65085760,78367899,65542012,53518097,53099836,42649082,33621437,33621438,42649083,33982363,256155001,25820963,33621442,257229549,65085767,78367903,78367901,78367902,92403544,106710078,112521769,98527052,84602248,71038205,58322687,257435979,37075433,28572335,21344278,15369499,13005038,13005039,18321140,24809784,32444429,256972406,32444427,24809780,24809781,18321143,13005041,8853985,5770676,3594681,2172778,2172777,2175310,1260202,1260201,2175307,3640015,5833435,8937355,254896465,8840942,12986780,18296126,268462911,24600824,18321111,13005000,8853949,5770646,3594661,2143530,2143531,3594663,5770649,8840939,12986776,18296122,24580857,18137846,18137844,24580846,18137837,12861869,8746916,254889243,18137838,24580847,24580835,24580836,32166192,40945262,51087993,62719461,75665639,89428880,88293461,74668377,61876550,53491251,53491250,65514784,65514786,53491252,43013020,33956220,26119121,26119122,33956223,43013028,48082169,48082168,57789579,57789580,70490284,78847199,65514819,65514820,65514794,53491280,43013039,43013036,36493171,36493169,257250150,70394074,83920240,92953924,78847270,256722966,53491312,256691542,43013077,53491333,65514869,78847292,92953949,100639231,92953903,78847235,78847234,92953900,86003990,72407618,255704536,48285060,59672278,65514851,78847278,92953928,98443481,256199928,70958584,58241952,46874670,46874671,58241953,70958582,84521918,80350649,66924540,66924539,80350647,94404918,105644590,91418484,91418485,85497484,77487709,77487710,77487712,64323759,52456686,52456685,64323757,77487708,91418463,105644574,99052740,85127891,71557386,71557385,85127887,259330719,71557417,71557416,72080128,71557419,71557420,85127921,85666675,99615497,113629449,271339580,99615485,85666668,72080127,258080887,58830050,58830061,47444058,37536008,37536007,47444056,58830028,58830055,58830054,71557392,58830031,47444035,37535996,37535995,268927337,37535997,47444037,269322525,58830045,47444043,47444042,58830042,71557406,85127911,85127960,85127910,85127909,99052760,113041010,113041051,99052810,99052759,85127908,259330717,113041008,126893952,136731024,136731023,149873466,152387927,152387926,154253214,151709550,151709549,139666979,126295894,126295895,139666974,126295889,112432230,98443462,98443463,112432231,126295891,139005363,269849410,97916684,111850898,125666648,139005366,151709536,151709535,152387925,152387924,164260193,175064395,165264739,153465434,153465433,165264736,175965992,185448003,177455200,177455201,175965999,165264742,153465435,260420280,129819721,115918921,101871918,87897694,87897695,101871920,114834048,100781977,86801190,73590235,60840584,60442390,60442389,61516459,257184336,31338979,23846438,17504801,17504802,17186837,17186838,268429587,39507927,49438871,60840600,73590249,73590250,87212471,101213423,115291755,129220196,129220219,129220218,129220217,140241646,142591510,129220207,270844552,87212489,258140136,258225421,258704628,71557464,58830099,47444091,37536037,28990974,21706730,15664910,10844004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12422286, s2 = 2703737, dlinesl.size( ) = 2 s1 = 12422286, s2 = 2703737, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12422286, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 15260665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11192599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10443915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12555866, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16295430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16295430, s2 = 11086698, int(edited[s2]) = 0 s1 = 16295430, s2 = 11086698, d1 = 6, d2 = 6 Dl.O(d1) = 256383376,29430235,26890019,26890020,34969136,38032495,29469749,29469750,38032496,29470044,29470045,38032820,38032757,38032758,38027530,29465412,29465411,38027527,38144851,29578689,22231094,22231093,29578687,38032595,29469856,29469858,29469774,256383357,29469748,22134128,16018427,16018426,16018535,16018536,22134324,22130539,16015704,16015705,22130543,29465343,38027449,47941087,47946260,38032396,38032397,30516161,30516162,39113405,47946117,53205718,42756199,38032406,38032407,47946269,59337678,47945943,47945942,47946128,47946129,49051337,60454890,60457927,49054075,49054076,52645954,52645955,60446850,59338469,59338467,47946652,38032749,38032750,47946654,52105837,41791891,32870852,32870853,269069307,63925513,77038244,90919084,258818788,257587556,268657226,59337812,59337813,64545165,52645957,255694284,33280483,39104245,39104246,49033749,59332793,59332794,72067086,258445764,63032362,51351968,41166814,41166813,51351960,63032342,76014893,72071893,72071891,85658970,99608361,97753891,92514967,78475257,65191131,53205727,42756203,42756206,53205734,65191143,78475284,92514986,106826588,92676199,78621639,78621641,85660073,72072848,72072847,85660064,89791645,89791643,103892903,111672273,97753438,83896558,257997747,256809073,36477766,46333433,57680372,70372264,73195004,60448643,49044959,39115331,39115330,49044968,60448664,64778094,52858531,52858529,59115395,60454972,73201587,86814119,86814120,100792009,86811098,73199093,73199094,60453175,49050099,39120531,39120532,30522639,23105336,16847522,16847525,23105121,30522305,39120021,49049334,60452121,73197781,86809582,83896667,73199735,60453548,60453549,72610267,85654584,85438136,71853210,71853207,85438129,92738446,258443822,99940073,99379089,99379088,85438139,257126194,47718154,37797616 Dl.O(d2) = 256383376,29430235,26890019,26890020,34969136,38032495,29469749,29469750,38032496,29470044,29470045,38032820,38032757,38032758,38027530,29465412,29465411,38027527,38144851,29578689,22231094,22231093,29578687,38032595,29469856,29469858,29469774,256383357,29469748,22134128,16018427,16018426,16018535,16018536,22134324,22130539,16015704,16015705,22130543,29465343,38027449,47941087,47946260,38032396,38032397,30516161,30516162,39113405,47946117,53205718,42756199,38032406,38032407,47946269,59337678,47945943,47945942,47946128,47946129,49051337,60454890,60457927,49054075,49054076,52645954,52645955,60446850,59338469,59338467,47946652,38032749,38032750,47946654,52105837,41791891,32870852,32870853,269069307,63925513,77038244,90919084,258818788,257587556,268657226,59337812,59337813,64545165,52645957,255694284,33280483,39104245,39104246,49033749,59332793,59332794,72067086,258445764,63032362,51351968,41166814,41166813,51351960,63032342,76014893,72071893,72071891,85658970,99608361,97753891,92514967,78475257,65191131,53205727,42756203,42756206,53205734,65191143,78475284,92514986,106826588,92676199,78621639,78621641,85660073,72072848,72072847,85660064,89791645,89791643,103892903,111672273,97753438,83896558,257997747,256809073,36477766,46333433,57680372,70372264,73195004,60448643,49044959,39115331,39115330,49044968,60448664,64778094,52858531,52858529,59115395,60454972,73201587,86814119,86814120,100792009,86811098,73199093,73199094,60453175,49050099,39120531,39120532,30522639,23105336,16847522,16847525,23105121,30522305,39120021,49049334,60452121,73197781,86809582,83896667,73199735,60453548,60453549,72610267,85654584,85438136,71853210,71853207,85438129,92738446,258443822,99940073,99379089,99379088,85438139,257126194,47718154,37797616 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16295430, s2 = 11086698, dlinesl.size( ) = 2 s1 = 16295430, s2 = 11086698, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16295430, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 15252541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15252541, s2 = 1647458, int(edited[s2]) = 0 s1 = 15252541, s2 = 1647458, d1 = 15, d2 = 9 Dl.O(d1) = 233815445 Dl.O(d2) = 41854306,32924659,25209629,18645205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15252541, s2 = 1647458, dlinesl.size( ) = 2 s1 = 15252541, s2 = 1647458, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15252541, Dl.E( ) = 48, 1.41e-05 seconds used appending s1 = 16235612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16235612, s2 = 3853576, int(edited[s2]) = 0 s1 = 16235612, s2 = 3853576, d1 = 0, d2 = 0 Dl.O(d1) = 61381039,270381961,69416844,257967819,45663469,45663468,48600127,258164541,72729510,86327317,100289731,114320467,261207203,262267727,262743689,186039468,194249756,201282763,207202392,212084621,216072976,219377095,222169257,224566366,226648745,265873961,228716412,226936799,224895101,222543607,219805210,216560293,212647195,207860304,202052693,195145429,263239425,167300541,155668575,143117178,129787456,115889293,270902473,74271028,61494285,50016422,39998336,31320909,23830705,17492405,12333575,8331831,5377399,4276107,2556615,1472583,833196,833197,1473058,1472600,832846,832845,1472593,2556625,4276125,4279717,6822190,6850565,4298955,2570236,1479754,1479755,2538834,2538833,1466654,829828,254155411,1462844,827902,827903,830127,1467232,2546873,254483977,4246459,254218423,254322619,5585187,3465145,3465146,2223132,2223133,3712473,5937290,9078449,10266703,6829295,267921725,3560649,3560648,5719534,4297028,2569017,2569019,4297034,6848060,6848059,10390387,15066625,20978167,28157487,36631817,46498725,57854741,70556178,84092554,97966007,111903117,125720397,139059118,139648011,126277704,126277705,112414734,98426166,98426162,98426161,112414725,98426159,98426160,112414731,126277703,259670200,98426165,112414733,98426166,84504682,70940832,58223705,58223704,58223703,70940829,84504676,98426158,112414726,98426154,98426153,98426152,84504669,70940825,70940824,58223700,46855922,36977373,36977374,28479996,21262096,21262095,28479994,36627128,28153536,20974954,15064029,10388249,10388250,15064030,20974944,20974943,20974953,28153535,36627127,46493553,57849563,258638529,97962109,111899635,125717117,139056076,151758000,163633199,261986460,181472796,171459455,160244525,147995909,134875243,121072919,106812947,92500888,78460570,65176259,53190651,42741122,254930130,25905109,24225187,24225188,31622974,27277212,20341431,14933887,14933886,14933391,10786611,7126925,6749169,6749170,10270474,14933989,20832449,21619505,28895175,37436051,36475726,36475725,256625334,70369648,83894238,97751113,111670007,125471457,138799353,261418716,272978818,192376539,199673198,199673197,205845484 Dl.O(d2) = 61381039,270381961,69416844,257967819,45663469,45663468,48600127,258164541,72729510,86327317,100289731,114320467,261207203,262267727,262743689,186039468,194249756,201282763,207202392,212084621,216072976,219377095,222169257,224566366,226648745,265873961,228716412,226936799,224895101,222543607,219805210,216560293,212647195,207860304,202052693,195145429,263239425,167300541,155668575,143117178,129787456,115889293,270902473,74271028,61494285,50016422,39998336,31320909,23830705,17492405,12333575,8331831,5377399,4276107,2556615,1472583,833196,833197,1473058,1472600,832846,832845,1472593,2556625,4276125,4279717,6822190,6850565,4298955,2570236,1479754,1479755,2538834,2538833,1466654,829828,254155411,1462844,827902,827903,830127,1467232,2546873,254483977,4246459,254218423,254322619,5585187,3465145,3465146,2223132,2223133,3712473,5937290,9078449,10266703,6829295,267921725,3560649,3560648,5719534,4297028,2569017,2569019,4297034,6848060,6848059,10390387,15066625,20978167,28157487,36631817,46498725,57854741,70556178,84092554,97966007,111903117,125720397,139059118,139648011,126277704,126277705,112414734,98426166,98426162,98426161,112414725,98426159,98426160,112414731,126277703,259670200,98426165,112414733,98426166,84504682,70940832,58223705,58223704,58223703,70940829,84504676,98426158,112414726,98426154,98426153,98426152,84504669,70940825,70940824,58223700,46855922,36977373,36977374,28479996,21262096,21262095,28479994,36627128,28153536,20974954,15064029,10388249,10388250,15064030,20974944,20974943,20974953,28153535,36627127,46493553,57849563,258638529,97962109,111899635,125717117,139056076,151758000,163633199,261986460,181472796,171459455,160244525,147995909,134875243,121072919,106812947,92500888,78460570,65176259,53190651,42741122,254930130,25905109,24225187,24225188,31622974,27277212,20341431,14933887,14933886,14933391,10786611,7126925,6749169,6749170,10270474,14933989,20832449,21619505,28895175,37436051,36475726,36475725,256625334,70369648,83894238,97751113,111670007,125471457,138799353,261418716,272978818,192376539,199673198,199673197,205845484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16235612, s2 = 3853576, dlinesl.size( ) = 2 s1 = 16235612, s2 = 3853576, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16235612, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11308677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308677, s2 = 1699357, int(edited[s2]) = 0 s1 = 11308677, s2 = 1699357, d1 = 23, d2 = 24 Dl.O(d1) = 114366576 Dl.O(d2) = 38732047,30899627,30899626,26193321,19484178,19484176,26193319,33692385,42722493,53172161,43123172,43123171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308677, s2 = 1699357, dlinesl.size( ) = 2 s1 = 11308677, s2 = 1699357, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11308677, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 11158041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14080604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215771, s2 = 2632190, int(edited[s2]) = 0 s1 = 11215771, s2 = 2632190, d1 = 51, d2 = 28 Dl.O(d1) = 258774160,114151150 Dl.O(d2) = 74317319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215771, s2 = 2632190, dlinesl.size( ) = 30 s1 = 16361485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16361485, s2 = 11119884, int(edited[s2]) = 0 s1 = 16361485, s2 = 11119884, d1 = 39, d2 = 45 Dl.O(d1) = 230698009 Dl.O(d2) = 105523760,91305783,77387136,64236587,52380799,42037161,33089384,25356633,25356632,33089382,42037160,258394931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16361485, s2 = 11119884, dlinesl.size( ) = 2 s1 = 16361485, s2 = 11119884, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16361485, Dl.E( ) = 54, 2e-05 seconds used appending s1 = 11254483, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11039227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039227, s2 = 11222294, int(edited[s2]) = 0 s1 = 11039227, s2 = 11222294, d1 = 23, d2 = 15 Dl.O(d1) = 256451863,48853070,258184243,86578614,260048327,261069958,98141735 Dl.O(d2) = 258018904,46601251,36713030,28220331,21025161,21025162,25840038,19186428,19186427,25840040,269887154,271078093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039227, s2 = 11222294, dlinesl.size( ) = 14 s1 = 11119883, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11882212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12425650, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12081745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11268531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11281625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11281625, s2 = 14046552, int(edited[s2]) = 0 s1 = 11281625, s2 = 14046552, d1 = 29, d2 = 35 Dl.O(d1) = 81247176,257920112,27115526,20213345,14504496,9980620,9980621,14504498,13939207,13939208,13939256,9567827,7611377,4815401,4815398,7611374,11445324,16430191,16437711,16437713,22622708,22622709,23064102,23069170,16819525,11761745,11761743,16819520,16824997,16824994,16816081,16424382,11440421,7607504,7607507,4983693,3010409,3010413,4983434,4983436,7851046,255129715,23064663,30475031,39067190,48991197,60389169,73129934,86736258,100711294,114759637,128659616,114759634,114759633,100711290,86736255,86736256,100711293,114759636,117623873,258998106,51064190,259578667,117623871,131424835 Dl.O(d2) = 11744813,11744814,16797492,11744841,7841381,7841380,11729417,11729416,11744923,11744924,16797698,23043192,17501299,17501297,23841893,31333792,40012173,48961448,39039881,30450605,23042709,23042710,30450609,39039886,39039243,30450200,23043356,16797807,11744974,7841456,4977572,4977573,7841463,11744990,16797849,23043029,23043030,30451103,25859151,23043026,16797593,11744861,7841392,4977539,3006870,1746840,1746841,3006877,4977557,7841352,11744789,16797450,23042801,30450759,30450912,39040265,39040103,30450781,30421817,30421818,39011269,30451066,30451068,30449478,30449477,23042699,16797401,11744766,11744768,16797408,23042720,23042958,20890428,14986841,14986842,20890434,268600105,46386477,269763257,52293390,41952452,41952451,39038886,39038885,39040066,39040065,39011286,39011287,48934735,48962165,60357519,256813938,39040651,30451251,30451252,25574611,18965947,18965948,25574614,268750103,48961984,256404904,48962268,52701925,52701924,48962387,48962386,52701919,52701920,52701918,42314734,33334237,33334238,42314736,52701922,47413195,37505561,37505564,47413202,58800103,64152126,60356645,52701914,257801063,48218416,38308648,29740338,29740339,38308653,41959253,41959254,52300089,58240369,58240367,60096244,60096243,60356671,60356656,60356590,48960862,39039394,39039396,48960800,39039356,39039357,268945394,64602557,72834112,72339254,59604581,48960887,48960888,60356617,73095314,86428328,86428327,85100289,71529047,71529046,257527224,85933357,258760026,73095287,60356580,48960856,39039387,30450285,30450283,39039379,48960844,257435600,48960895,39039420,39039419,48960893,58839574,47453667,37545679,37545680,47453670,58839583,71437005,58705413,58705411,60096676,48700730,48700729,59488845,48100302,48100301,59488841,60097543,60096875,48701005,48701006,49929343,48701648,38779277,38779273,47301323,48960522,48960521,60096389,48700376,38778040,30193899,22803480,22803478,30193893,38778028,31488382,31488383,40173423,50196982,46882411,46882410,58249607,59489254,48701072,38778728,38778729,46882401,37003520,28505531,21286554,21286553,28505525,37003507,38188741,38188738,47316315,47316317,58705420,48700259,38777950,38777948,48700255,48700311,38777991,30193867,30193866,38777988,48700305,60096332,52300242,49929373,39910598,31234801,23751606,17425860,17425862,23751611,31234809,38777866,38777867,41959474,41959445,41959446,40173431,40173430,40173395,40173397,50196953,55305904,55305902,48099996,44460873,35085614,35085613,44460868,37900580,29331897,22001172,22001173,29331903,37900592,47820612,47820613,38188785,29621479,29621481,38188791,48100660,48700275,48700274,48100755,38779214,38779217,38779262,38188539,29621316,29621315,38188533,30193857,22803462,16586298,11566421,11566422,16586301,22803470,25291115,18717695,18717693,13324252,13324251,18717712,22270040,16128687,16128684,16128633,16128634,16128644,16128668,16128669,21431284,21431283,28680288,37203619,47100012,47822537,38777829,38777830,38778273,38188328,30194163,22803638,16586391,11566466,11566465,16586384,22803623,30194102,22803602,255938935,38778316,38778358,48700701,48700418,38778072,30193919,30193921,38188730,38188699,29621433,22270171,22270172,29621436,38188704,40365808,38778655,38778656,48700989,59488825,48701182,38778824,38778823,48700941,59488753,60096640,59488756,59488755,59488782,59488783,257493232,48699918,48099528,38187826,29620797,22269782,16128551,11204022,11204021,16128550,22269780,23128951,23128952,30547269,39145254,49075171,60478344,73224941,73524316,72223758,72223757,63818318,52002955,52002956,48099426,48099425,48098949,38777564,30193568,30193571,33247851,33247849,42209530,38187529,38187527,48099074,59487641,58559987,58559990,58559960,48328731,38420387,38420386,48328726,58560014,71292049,73224899,72224067,59488092,59488091,60478289,49075117,48099016,48099017,59487553,72223624,85816480,85816498,84866328,71292035,70399928,59487579,48099034,48099036,38187806,29620787,22269778,16128548,11204020,7434260,7434259,11204015,16128533,22269681,29620584,29620586,38187441,48098941,59487461,48099068,38187523,29620628,29620627,38187519,48099062,59487622,72223684,85816528,91220864,271026127,104976245,91713453,77785621,77785620,72223931,72223932,85816666,73095523,73095524,64151687,52299453,41958452,33015881,33015882,33015902,33015901,41958494,52299509,64151765,61695260,61695261,64785943,64151709,59530702,52299518,52299517,64151778,70966243,72700845,62023615,50531661,50213426,40191316,31506002,31506005,26639395,19827453,14203399,14203401,19827462,26639425,34629274,41691224,47073317,37179616,37179614,40191268,40191267,48100395,38188577,38188576,48100391,52866770,54644776,53255607,53255591,42802832,33770941,33770942,42802810,50531679,50531678,53255550,53255548,258358971,88089439,86943707,73332939,60588609,60588608,257820336,61770666,74554292,74820547,257687561,40496160,40496161,257687553,40496114,40496115,50531706,42463432,42463431,42463036,33469652,33469655,25696606,24537976,24537977,32115210,33469973,33469972,40278219,42463022,42463420,42463421,52867212,257252242,40278182,31593877,31593876,40278180,50298623,61778116,58285751,46919926,46919927,58285753,258243992,268990554,43015235,50159014,42463249,33469856,33469854,42462756,42314877,33334355,25574728,25574729,33334358,25696752,25696751,33469865,42463259,50159017,50159018,268517040,24095534,24095535,31599341,40283833,39867894,31185504,23695845,17373734,17373735,23695847,31185508,39867900,268657864,33469958,25696815,19071306,13615133,9322768,6106858,3821022,3821021,6106849,9322748,13615090,16169880,16169879,22314926,22314940,22314939,29666717,22807076,19071054,13615008,12925854,8793158,8793159,10951975,7248312,7248311,10951970,15805162,255248537,3711427,5935694,9076296,9103740,5956829,3725269,3725271,5956833,3725288,3725287,5955901,5955903,4248478,4248476,5956036,5956037,6865340,6865339,6774657,6346680,6346676,9057604,9057605,254641665,5932177,9071633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11281625, s2 = 14046552, dlinesl.size( ) = 13 s1 = 12427578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11336671, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11298321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298321, s2 = 14127586, int(edited[s2]) = 0 s1 = 11298321, s2 = 14127586, d1 = 33, d2 = 41 Dl.O(d1) = 268037796 Dl.O(d2) = 167398616,262181860,101943346,101943347,263245373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298321, s2 = 14127586, dlinesl.size( ) = 54 s1 = 14100480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100480, s2 = 12292850, int(edited[s2]) = 0 s1 = 14100480, s2 = 12292850, d1 = 8, d2 = 37 Dl.O(d1) = 258222498,259469620,111844901,97910878 Dl.O(d2) = 142554722,142554723,142554724,139297710,125948274,112114284,98154849,98154850,112114287,125948275,139297714,128335107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 2 s1 = 11299865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299865, s2 = 11049032, int(edited[s2]) = 0 s1 = 11299865, s2 = 11049032, d1 = 36, d2 = 31 Dl.O(d1) = 111893016,111893017,97955257,84081299,70544192,269299119,46486093,57842223,70544189,64684472 Dl.O(d2) = 259079558,257833778,42371022,33381943,25616115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299865, s2 = 11049032, dlinesl.size( ) = 36 s1 = 14101100, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14101100, s2 = 11064598, int(edited[s2]) = 0 s1 = 14101100, s2 = 11064598, d1 = 20, d2 = 3 Dl.O(d1) = 260535715,112816670,98825539,84898972,84898968 Dl.O(d2) = 58592140,47200856,37292768,28759040,255408279,10713823,7078028,7078029,7584067,4797009,4797011,7584072,11412471,7738770,7610534,4814811,2901603,1683329,957200,539411,302289,302290,539415,957213,1683362,2896613,1680839,956039,956037,1680829,2896595,1681940,956515,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,4796196,2891087,1678057,1678054,2891076,4796170,6866436,4811954,2900025,1682534,1682535,2749705,2899974,4811845,4811846,7605925,11438386,16422265,11615784,11615783,13102484,8929613,8929614,10349896,15022125,11424619,11424618,11414810,268229491,26909184,255933052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14101100, s2 = 11064598, dlinesl.size( ) = 28 s1 = 15219466, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15219466, s2 = 14266551, int(edited[s2]) = 0 s1 = 15219466, s2 = 14266551, d1 = 6, d2 = 6 Dl.O(d1) = 55305277,47878764,37960837,37960838,47878766,59274202,72009934,270834625,127426630,140782727,261837501,143202006,143202005,142417292,142417293,129043417,129043414,115116229,101042258,101042259,101042231,87046706,73429414,73429415,269806415,47988697,47988699,59378865,47988561,257508895,257605455,73429410,87046698,73429425,73429424,87046700,87046701,87046703,87046704,101042230,87046722,73429422,73429423,87046723,101042255,115116216,101042241,101042242,115116213,115116208,101042234,101042233,100292982,86330548,86330549,100292976,86330545,72732706,59995252,48603369,48603370,59995254,258788403,61904669,61904668,257555842,38821621,268412478,22845120,29928581,29928580,255930978,21530396,15516985,10731693,10731692,7090682,7090681 Dl.O(d2) = 55305277,47878764,37960837,37960838,47878766,59274202,72009934,270834625,127426630,140782727,261837501,143202006,143202005,142417292,142417293,129043417,129043414,115116229,101042258,101042259,101042231,87046706,73429414,73429415,269806415,47988697,47988699,59378865,47988561,257508895,257605455,73429410,87046698,73429425,73429424,87046700,87046701,87046703,87046704,101042230,87046722,73429422,73429423,87046723,101042255,115116216,101042241,101042242,115116213,115116208,101042234,101042233,100292982,86330548,86330549,100292976,86330545,72732706,59995252,48603369,48603370,59995254,258788403,61904669,61904668,257555842,38821621,268412478,22845120,29928581,29928580,255930978,21530396,15516985,10731693,10731692,7090682,7090681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15219466, s2 = 14266551, dlinesl.size( ) = 2 s1 = 15219466, s2 = 14266551, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15219466, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14266552, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12428912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12556970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12429244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15124873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11331913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331913, s2 = 11562342, int(edited[s2]) = 0 s1 = 11331913, s2 = 11562342, d1 = 52, d2 = 72 Dl.O(d1) = 140767319,262699309,185433027 Dl.O(d2) = 233786365,233786366,233786371,232630355,232630354,233786369,233786376,232630360,265715400,229923037,231350944,232630364,266114238,235796958,236669656,235796955,235796954,234838567,234838565,233786371,232630355,232630354,266114236,234838572,266226072,233067078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331913, s2 = 11562342, dlinesl.size( ) = 46 s1 = 14107638, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14108508, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14108508, s2 = 10680660, int(edited[s2]) = 0 s1 = 14108508, s2 = 10680660, d1 = 10, d2 = 0 Dl.O(d1) = 261198558,171797853,171797855,181773173,262514055,148327114,135154714,262019117,171797852 Dl.O(d2) = 121304983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14108508, s2 = 10680660, dlinesl.size( ) = 14 s1 = 15500096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109232, s2 = 11272998, int(edited[s2]) = 0 s1 = 14109232, s2 = 11272998, d1 = 16, d2 = 21 Dl.O(d1) = 257784720,180883001,189776543,197443520,261435460,206341309,200282481 Dl.O(d2) = 200282482,193108649,184749164,175175201,164386232,261651732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109232, s2 = 11272998, dlinesl.size( ) = 22 s1 = 11363329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363329, s2 = 7940088, int(edited[s2]) = 0 s1 = 11363329, s2 = 7940088, d1 = 21, d2 = 63 Dl.O(d1) = 143259398,261753370 Dl.O(d2) = 23911396,31403276,37821157,29255966,21935179,21935180,254829098,22776260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363329, s2 = 7940088, dlinesl.size( ) = 12 s1 = 14110334, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12430518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14112882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14112882, s2 = 11526242, int(edited[s2]) = 0 s1 = 14112882, s2 = 11526242, d1 = 33, d2 = 40 Dl.O(d1) = 262840305 Dl.O(d2) = 265054333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14112882, s2 = 11526242, dlinesl.size( ) = 62 s1 = 14284338, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12557340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115606, s2 = 13372664, int(edited[s2]) = 0 s1 = 14115606, s2 = 13372664, d1 = 26, d2 = 25 Dl.O(d1) = 262097384,137609072,137609073,150605108,162703315,150605150,259805742 Dl.O(d2) = 95355737,257929884,257409864,35257820,31597525,24093842,24093841,31597523,30712492,24093838,17735795,17735796,24093840,31597521,39310225,49236999,256354608,73383983,60637736,49236995,39310222,30712538,30712537,39310218,31597534,31597535,40281834,50302035,61781263,59141953,47743215,37820947,29255719,28469185,28459226,28459225,36959538,33332233,33332232,37820945,29255718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115606, s2 = 13372664, dlinesl.size( ) = 20 s1 = 15207797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7092679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7092679, s2 = 6124819, int(edited[s2]) = 0 s1 = 7092679, s2 = 6124819, d1 = 59, d2 = 78 Dl.O(d1) = 262461404,184300405 Dl.O(d2) = 242183770,242540787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7092679, s2 = 6124819, dlinesl.size( ) = 40 s1 = 12088891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12557556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12557556, s2 = 13595580, int(edited[s2]) = 0 s1 = 12557556, s2 = 13595580, d1 = 11, d2 = 19 Dl.O(d1) = 261071824 Dl.O(d2) = 212915287,213889991,209422268,203977668,197450517,189783430,180889936,170751081,159403830,147023366,133775623,119907076,105671456,91448193,77518594,64353338,52483167,42128192,33171839,32205627,32205628,40987971,51132954,254636522,41583018,32685509,25006074,18479338,267817776,14416214,9914867,6515814,4082675,4082676,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285149,11005030,9124001,5970416,3733695,3733694,5970410,9123984,13351724,18752568,25331809,18773338,18773337,24966374,24966375,32636269,25350744,21969200,15875813,255692641,19231661,25891060,33087810,257190539,52378821,64234198,70771885,70771886,61319038,49835944,49835945,61319032,61319033,74102053,87708075,101681942,115726992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12557556, s2 = 13595580, dlinesl.size( ) = 2 s1 = 12557556, s2 = 13595580, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12557556, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 11340921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340921, s2 = 11391850, int(edited[s2]) = 0 s1 = 11340921, s2 = 11391850, d1 = 4, d2 = 1 Dl.O(d1) = 272618413 Dl.O(d2) = 212881590,264582248,219987677,216767992,264304816,201241784,194203871,185987441,176563170,165914691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340921, s2 = 11391850, dlinesl.size( ) = 14 s1 = 14124668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431369, s2 = 11081226, int(edited[s2]) = 0 s1 = 11431369, s2 = 11081226, d1 = 6, d2 = 7 Dl.O(d1) = 262655688,261102314 Dl.O(d2) = 268613016,26986464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431369, s2 = 11081226, dlinesl.size( ) = 16 s1 = 14124892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14124892, s2 = 11367304, int(edited[s2]) = 0 s1 = 14124892, s2 = 11367304, d1 = 10, d2 = 6 Dl.O(d1) = 192049271,187913516,262867789,168506961,273763187,264011213 Dl.O(d2) = 195848159,273766874,264011211,195848162,263288331,168506959,157059297,144660876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14124892, s2 = 11367304, dlinesl.size( ) = 2 s1 = 14124892, s2 = 11367304, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14124892, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14126988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126988, s2 = 11075704, int(edited[s2]) = 0 s1 = 14126988, s2 = 11075704, d1 = 30, d2 = 8 Dl.O(d1) = 189121258,189121259,272076694,133057968,133057969 Dl.O(d2) = 90856162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126988, s2 = 11075704, dlinesl.size( ) = 32 s1 = 14127202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127202, s2 = 10217101, int(edited[s2]) = 0 s1 = 14127202, s2 = 10217101, d1 = 53, d2 = 60 Dl.O(d1) = 263352583 Dl.O(d2) = 272176916,127755741,260511488,113879856,99860554,85904590,85904589,259290436,127755739,141113293,261641810,126295941,126295942,139667022,152387976,262645818,165568442,153786748,141113288,127755733,113879853,270286550,85904587,270286548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127202, s2 = 10217101, dlinesl.size( ) = 46 s1 = 15717299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15717299, s2 = 2618128, int(edited[s2]) = 0 s1 = 15717299, s2 = 2618128, d1 = 6, d2 = 12 Dl.O(d1) = 119596790,105366281,105366282,115060613,100990139,86997380,73382345,269371063,39309156,30711518,255975337,23295008,30711506,39309141,49235796,60636366,73382331,86997383,86997385,74183599,73382333,61403778,49924198,39904605,256007359,17419064,12277253,12277252,17419062,23744080,23744085,255168611,255168613,23744086,31227792,34281631,33481400,30255532,22860316,16634000,11603209,7724248,4889213,2946298,1708717,971276,547018,547017,971271,254244891,4889145,7724123,11603024,16633728,22859953,256444059,48758557,60152655,72888799,258013776,99334639,113336977,127195302,260486056,261065126,111898503,272166663,125715933,261617683,263472211,199841271,205988453,211070523,210719125,263753560,263753558,199426982,199426956,192075596,183532662,183532661,263159338,173763676,162763828,150669548,150669549,162763830,261182102,137673246,260004618,109853305,260420997,261572483,137673228,137673227,137673225,137673224,150669531,162763815,162763812,150669529,150669528,162763811,173763655,263042227,192075626,183532684,173763662,162763817,150669538,150669539,162763819,173763664,263447435,199426972,192075611,192075610,199426970,205646955,208363335,202657806,202657807,208363336,208363341,202657814,199426942,192075575,183532629,173763614,173763616,178839443,263289107,192075569,183532625,173763613,173763598,162763753,162763755,153021725,153021724 Dl.O(d2) = 144685647,144685648,157087537,157087536,168536363,262423330,144685641,261900769,144685643,261900771,168536372,273413633,178839446,176074190,176074189,176074183,165392233,153611039,140943832,261713289,165392238,176074188,273120622,154898157,261165048,100955707,260670739,142264016,142264020,260588374,100955711,86971395,86971396,100955709,86971394,73359846,73359845,259455115,115009946,128912141,128912134,115009930,100955694,100955695,115009931,128912137,142264010,154898130,261165044,128912124,142263995,154898133,154898147,154898146,166598130,176722806,176722805,186134689,176722799,176722798,166085818,166085819,176722804,186134695,186134693,186134688,186134687,194336926,263572372,194336930,186134691,186134690,194336927,263924774,198575055,198575058,191080899,182374082,182374083,191080900,198575059,198575061,194342571,186140895,182374089,172417226,172417227,178206196,167753959,161209499,161209498,155694441,155694442,260034838,130289605,116452372,102359208,88362476,88362475,102359207,270340046,104228216,90095662,90095663,87890497,74287840,61511145,269872855,74287827,63263627,63263626,76283024,86526550,86526549,87890485,87890491,87890492,87645787,74042587,61262793,61262790,61511136,60188991,48792364,48792363,60188988,72928307,74287818,258359998,259581526,127696754,259581524,102167166,257132660,257132658,40278516,40278515,257088663,258280669,88176504,102167161,256178512,64392695,52518700,52518701,64392685,254952304,42160465,52518692,52518690,52518689,64392682,77560713,91491221,105714728,119949196,105905615,91698280,91698279,105905613,120117485,133959367,260346690,157025967,144629666,144629665,157025965,168472277,166335387,259577714,128615618,141975449,260193116,144629661,131408733,117608915,103478474,103478476,117608917,123761053,109570006,257137130,67783541,257137128,258327511,62706487,75561339,62622433,50999749,40864928,40864929,50999742,258321821,258384508,57664352,70354016,83878849,89042704,86601239,86601238,85947814,72352583,257528269,48230591,257091070,31925946,31925999,32131161,40908805,50701506,46284756,46284754,258618297,258905694,88048237,102032585,116089366,117230248,103113793,89042708,75314448,256058016,40729893,255603982,33391613,257116536,1322905,754828,754826,759934,759937,759963,759961,1330860,2293680,3828442,6079791,6079789,9281403,13556902,13204517,9001493,9001494,13204523,13205084,13205083,18581949,25135771,268148027,13567401,19009781,19144376,25789291,33584950,30465271,30465272,33389400,255727690,254963740,8592032,8592031,12655229,11308561,11308560,12652164,12652165,17866320,20317384,14580688,10032971,6593659,6593660,4131410,4131411,6594534,10034484,14583036,20320504,24784506,18302773,18302774,22582531,16400110,11416521,7587354,7587353,11416519,9770761,9770762,6424248,6424249,6424103,6424102,9770540,9770707,9770731,9770736,11960783,8006807,8006809,8730998,8731001,5774451,5774454,8859237,8859041,5774329,5774327,8859036,13011983,11444800,7610887,4815045,4815044,4861239,7682904,11548107,16566601,15992978,11102320,7362669,4650631,4650629,7362665,11102312,15992967,16565428,11547293,11547291,9692840,9692839,11838421,16915702,17123195,16564236,11837387,7911111,5029254,5029252,7911103,9688016,9688017,14084501,18338457,18338456,17025332,11940297,9690191,6373815,6373812,6373849,6373850,9690259,14088379,14088483,16577432,16577433,21104656,23179079,28315000,24831916,18743154,18743155,23389182,23179329,16914469,16663917,16663916,18330283,17122113,12032527,12032528,17122121,19663022,17121179,12031780,12031781,11838961,7912054,7912059,8527083,11838766,7911947,5029772,5029773,4448607,4448611,7065557,10694865,15467083,17329815,12204766,12204765,12724750,12724754,17118860,12030007,8087581,8087582,8090407,8089126,8089127,8089108,8089110,11496151,11415034,11415036,16398557,19936018,19936014,16428554,16428551,19654829,19654830,16582906,11621125,11621127,16653726,16437279,11452176,7617274,7617270,11452189,8032565,8032562,11983461,14943582,10278150,6754905,4232806,4232808,5029673,5029672,7911901,11838678,11838158,7911577,7911576,11838153,254645484,30599006,269073206,258391290,128809159,134013602,120180795,259721028,64673607,52758626,42359136,42359135,52758625,64673604,259047135,105980655,260891357,147344864,262486822,109492242,95239181,81184023,67719055,55379239,44532996,256225464,20175573,20175574,27057707,20164197,20164196,23083997,16831197,11769988,7858087,4987397,4987395,6541308,6541305,9952942,14466346,15040633,15040634,17891338,24270630,27069608,20175081,267750216,35155997,44532202,55378471,48473194,48473195,59864749,72602668,72402017,72402016,85998365,85998370,72402020,59666389,59666390,72402022,85998373,81168813,81168811,95225159,109479092,123670833,256750840,113002596,99013834,85088300,71515793,58785654,47397602,37489182,28946591,21667237,15631200,10817040,7148796,4501818,2705325,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745199,10265031,14407420,11729844,7831018,7831016,11729839,16776849,14216872,14216870,17853796,17853798,18667682,25236733,20846721,14946279,14946278,20846718,25734615,27279871,30717363,31910527,31910528,26735260,25313751,25313750,20839066,15587607,10783068,10783064,7535640,7535641,10276443,10053723,10053724,6753494,6753493,10276452,14601065,10046872,6602172,4136020,4136019,6602168,10046863,14601049,11509574,11509573,16515214,12337921,12337920,17498154,14610659,10053496,6605987,6605988,6753056,4231557,4231560,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,2831207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15717299, s2 = 2618128, dlinesl.size( ) = 8 s1 = 14129256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14129256, s2 = 7164874, int(edited[s2]) = 0 s1 = 14129256, s2 = 7164874, d1 = 24, d2 = 10 Dl.O(d1) = 264314691,274128367,265450195,265685919,221495582,221495583 Dl.O(d2) = 263467047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129256, s2 = 7164874, dlinesl.size( ) = 18 s1 = 15257778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15257778, s2 = 7195886, int(edited[s2]) = 0 s1 = 15257778, s2 = 7195886, d1 = 26, d2 = 34 Dl.O(d1) = 257770127,77257115 Dl.O(d2) = 263868030,261121148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15257778, s2 = 7195886, dlinesl.size( ) = 42 s1 = 7203113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7203113, s2 = 561171, int(edited[s2]) = 0 s1 = 7203113, s2 = 561171, d1 = 34, d2 = 44 Dl.O(d1) = 263950188 Dl.O(d2) = 14392179,20074734,26958466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7203113, s2 = 561171, dlinesl.size( ) = 30 s1 = 14130616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130616, s2 = 11042114, int(edited[s2]) = 0 s1 = 14130616, s2 = 11042114, d1 = 8, d2 = 13 Dl.O(d1) = 200499370 Dl.O(d2) = 258849848,47397702,37489300,268389203,10817087,7148841,7148814,7148819,4501858,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087771,7087775,10312518,10312517,11132834,7384545,7384548,11132873,8599081,5587589,5587594,4847037,4847042,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068673,13285467,10263016,10263015,7108986,4475883,4475885,6738714,4970851,4231364,4231367,6752711,10275238,14939941,15599010,15599011,20187002,20291525,15599102,15599101,19149874,19501438,19501439,26214951,31863015,255001704,17950316,20342038,27277756,28076806,31767301,254997678,15048869,10375665,6836868,4289919,3826812,2292642,2292641,3826809,5379814,3308113,1946151,1946149,3308100,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,3800460,3800463,5383490,8340666,12345540,17508157,268436351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130616, s2 = 11042114, dlinesl.size( ) = 2 s1 = 14130616, s2 = 11042114, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14130616, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 12092997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14131602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11349735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11349735, s2 = 11473094, int(edited[s2]) = 0 s1 = 11349735, s2 = 11473094, d1 = 0, d2 = 4 Dl.O(d1) = 150523923,262585471 Dl.O(d2) = 183452263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11349735, s2 = 11473094, dlinesl.size( ) = 16 s1 = 11453717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453717, s2 = 15149672, int(edited[s2]) = 0 s1 = 11453717, s2 = 15149672, d1 = 22, d2 = 116 Dl.O(d1) = 201239613 Dl.O(d2) = 274470015,224610756,265217157,212150034,264244003,186136803,262752571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453717, s2 = 15149672, dlinesl.size( ) = 22 s1 = 12435816, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12435816, s2 = 10245970, int(edited[s2]) = 0 s1 = 12435816, s2 = 10245970, d1 = 12, d2 = 14 Dl.O(d1) = 264437415,210893619 Dl.O(d2) = 263719726,183818139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12435816, s2 = 10245970, dlinesl.size( ) = 2 s1 = 12435816, s2 = 10245970, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12435816, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 11482755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14267402, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4910070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5166644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5166644, s2 = 14143258, int(edited[s2]) = 0 s1 = 5166644, s2 = 14143258, d1 = 30, d2 = 47 Dl.O(d1) = 214963352 Dl.O(d2) = 227436158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5166644, s2 = 14143258, dlinesl.size( ) = 2 s1 = 5166644, s2 = 14143258, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 5166644, Dl.E( ) = 64, 2.41e-05 seconds used appending s1 = 11574369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574369, s2 = 13320724, int(edited[s2]) = 0 s1 = 11574369, s2 = 13320724, d1 = 41, d2 = 52 Dl.O(d1) = 266056930 Dl.O(d2) = 23809102,21418281,17475792,16785501,16785502,255397968,31294891,31294890,30114458,22733781,22733782,28608511,28608512,21414272,15424841,15424840,10663248,268071637,11502331,16506561,18751776,18751775,25331421,28658590,28658591,23809279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574369, s2 = 13320724, dlinesl.size( ) = 32 s1 = 15012852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11490557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11490557, s2 = 5486441, int(edited[s2]) = 0 s1 = 11490557, s2 = 5486441, d1 = 3, d2 = 8 Dl.O(d1) = 215297411 Dl.O(d2) = 265162112,264714276,215164896,210999617,210999616,215164892,218595166,221482240,265162110,265531186,226097528,226097529,265355420,264949600,218595169,215164899,215164898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11490557, s2 = 5486441, dlinesl.size( ) = 2 s1 = 11490557, s2 = 5486441, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11490557, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 11507773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507773, s2 = 10511013, int(edited[s2]) = 0 s1 = 11507773, s2 = 10511013, d1 = 22, d2 = 26 Dl.O(d1) = 264772918,187851791,187851793,195794114,195794103,263565756,168436662,156987081,144586949,261202624,260024820 Dl.O(d2) = 178745220,262739520,156987059,144586933,144586934,156987064,168436633,178745230,263285567,187851810,178745291,168436688,262864779,156987084,156987083,168436664,178745269,187851800,195794116,202597044,264234762,187851814,178745285,178745286,187851809,178745280,262739526,144586951,131362644,117562530,103433213,89339673,75580797,62640324,258323025,89339676,103433218,260787875,144586932,262399149,156987058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507773, s2 = 10511013, dlinesl.size( ) = 18 s1 = 12095121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8759663, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11566893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11566893, s2 = 11197808, int(edited[s2]) = 0 s1 = 11566893, s2 = 11197808, d1 = 39, d2 = 50 Dl.O(d1) = 265794304 Dl.O(d2) = 259669324,101163881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11566893, s2 = 11197808, dlinesl.size( ) = 44 s1 = 16391033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15230025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15230025, s2 = 15516690, int(edited[s2]) = 0 s1 = 15230025, s2 = 15516690, d1 = 71, d2 = 63 Dl.O(d1) = 225930077,223767441,221272779,218360520,214894792,210682767,264422625,199293381,263435199,262577855,150402750,260992785,109435920,95179815,81121409,67654898,257311251,35092982,27006864,20115738,14425988,14425987,20115736,27006861,35092977,44469506,55315457,67654890,81121402,77418878 Dl.O(d2) = 39076084,30482661,23071111,23071110,30482660,39076083,49001610,60401118,73143071,86750609,83985341,70457427,57762230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15230025, s2 = 15516690, dlinesl.size( ) = 2 s1 = 15230025, s2 = 15516690, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15230025, Dl.E( ) = 72, 2.19e-05 seconds used appending s1 = 14140178, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140178, s2 = 5102911, int(edited[s2]) = 0 s1 = 14140178, s2 = 5102911, d1 = 2, d2 = 15 Dl.O(d1) = 219291757 Dl.O(d2) = 264227729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140178, s2 = 5102911, dlinesl.size( ) = 18 s1 = 14140714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140714, s2 = 14143114, int(edited[s2]) = 0 s1 = 14140714, s2 = 14143114, d1 = 3, d2 = 8 Dl.O(d1) = 223227442,223227437 Dl.O(d2) = 227438506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140714, s2 = 14143114, dlinesl.size( ) = 2 s1 = 14140714, s2 = 14143114, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14140714, Dl.E( ) = 20, 6.2e-06 seconds used appending s1 = 15262085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15262085, s2 = 4588861, int(edited[s2]) = 0 s1 = 15262085, s2 = 4588861, d1 = 29, d2 = 26 Dl.O(d1) = 266641762,237219869,236397366,235496670,234509531,233425986,232232932,230911176,229436019,227775151,225882765,265329424,221208593,218284241,214803823,210574406,205397269 Dl.O(d2) = 221208587,223713212,223713209,223713210,224089467,221631761,218769430,215379016,211276244,206255277,200182810,192991220,184607797,175007456,164191992,152309052,139579531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15262085, s2 = 4588861, dlinesl.size( ) = 2 s1 = 15262085, s2 = 4588861, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15262085, Dl.E( ) = 34, 8.82e-06 seconds used appending s1 = 11535771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535771, s2 = 10619390, int(edited[s2]) = 0 s1 = 11535771, s2 = 10619390, d1 = 57, d2 = 97 Dl.O(d1) = 266050797,266275855 Dl.O(d2) = 243545827,243545828,243809842,244055170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535771, s2 = 10619390, dlinesl.size( ) = 40 s1 = 11514959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514959, s2 = 11541772, int(edited[s2]) = 0 s1 = 11514959, s2 = 11541772, d1 = 41, d2 = 1 Dl.O(d1) = 222174768,222482458,266021507 Dl.O(d2) = 224901414,265245085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514959, s2 = 11541772, dlinesl.size( ) = 48 s1 = 14143188, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14143226, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14143278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143278, s2 = 14151430, int(edited[s2]) = 0 s1 = 14143278, s2 = 14151430, d1 = 9, d2 = 2 Dl.O(d1) = 227766799,229428856,230904584,232226499,266296595,266083532,230904586,230904585,232226500,233419517,234503001,235489880,236390421,266711091,237962703,237212812,236390404,235489867,235489866 Dl.O(d2) = 235489872,234502992,234502991,235489869,236390408,237212814,237962704,238644990,266835111,240374380,240865518,241320142,241741347,242130971,242492312,242828748,243141853,243435469,243708430,243960673,244195275,244153658,243914953,243658502,243382380,243087177,242772986,242435510,242072267,241678051,266996742,240294068,239758644,239178265,238545856,237855356,237096036,236264116,235352442,234352641,233253853,232040798,230694132,229182314,227471175,225514888,223266781,220667523,217611946,213950088,209488452,204049763,263848470,180997387,170878078,159550219,147191031,133968268,260509778,105914133,112414712,98426138,84504651,84504652,84504654,70940811,58223688,46855904,36977343,28479964,21262068,15299065,10563535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14143278, s2 = 14151430, dlinesl.size( ) = 2 s1 = 14143278, s2 = 14151430, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14143278, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 14151429, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11989308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12558972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12439580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15147620, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12098167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14213312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570085, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15031698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15031698, s2 = 14154514, int(edited[s2]) = 0 s1 = 15031698, s2 = 14154514, d1 = 51, d2 = 44 Dl.O(d1) = 263587123,201508090,207395145,212249194,265015799 Dl.O(d2) = 274925923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15031698, s2 = 14154514, dlinesl.size( ) = 38 s1 = 15262231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15262231, s2 = 11594406, int(edited[s2]) = 0 s1 = 15262231, s2 = 11594406, d1 = 74, d2 = 73 Dl.O(d1) = 42276768,42276769,42276578,42276579,39783609,33295385,25533856,256101248,25534065 Dl.O(d2) = 274841909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15262231, s2 = 11594406, dlinesl.size( ) = 14 s1 = 15230402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15230402, s2 = 11573754, int(edited[s2]) = 0 s1 = 15230402, s2 = 11573754, d1 = 1, d2 = 1 Dl.O(d1) = 225448159,265480572,229129311,230646238,231997663,233214898,234316569,235319400,236233424,236233422,236233421 Dl.O(d2) = 225448159,265480572,229129311,230646238,231997663,233214898,234316569,235319400,236233424,236233422,236233421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15230402, s2 = 11573754, dlinesl.size( ) = 2 s1 = 15230402, s2 = 11573754, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15230402, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14147568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14147568, s2 = 11584938, int(edited[s2]) = 0 s1 = 14147568, s2 = 11584938, d1 = 1, d2 = 1 Dl.O(d1) = 235418038,236324828,266431984,238593257,237907759,237907758,266597596,238593257,237907759,237153145,266431982 Dl.O(d2) = 235418038,236324828,266431984,238593257,237907759,237907758,266597596,238593257,237907759,237153145,266431982 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14147568, s2 = 11584938, dlinesl.size( ) = 2 s1 = 14147568, s2 = 11584938, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14147568, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11550567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550567, s2 = 7382295, int(edited[s2]) = 0 s1 = 11550567, s2 = 7382295, d1 = 0, d2 = 8 Dl.O(d1) = 230617813 Dl.O(d2) = 266071330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550567, s2 = 7382295, dlinesl.size( ) = 2 s1 = 11550567, s2 = 7382295, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11550567, Dl.E( ) = 18, 1.31e-05 seconds used appending s1 = 14267828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14797810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12440976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14267934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12010569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602123, s2 = 11623002, int(edited[s2]) = 0 s1 = 11602123, s2 = 11623002, d1 = 6, d2 = 18 Dl.O(d1) = 266719742,266842192 Dl.O(d2) = 267243164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602123, s2 = 11623002, dlinesl.size( ) = 22 s1 = 12442060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14235471, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15045832, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11633015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633015, s2 = 11443520, int(edited[s2]) = 0 s1 = 11633015, s2 = 11443520, d1 = 65, d2 = 68 Dl.O(d1) = 275025526 Dl.O(d2) = 225254724,265277160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633015, s2 = 11443520, dlinesl.size( ) = 14 s1 = 15190630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15190630, s2 = 12672829, int(edited[s2]) = 0 s1 = 15190630, s2 = 12672829, d1 = 109, d2 = 106 Dl.O(d1) = 243911986,267312543,267336605,244786433,267396211 Dl.O(d2) = 267630911,247188601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15190630, s2 = 12672829, dlinesl.size( ) = 50 s1 = 12442932, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6301266, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11645483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645483, s2 = 9018160, int(edited[s2]) = 0 s1 = 11645483, s2 = 9018160, d1 = 19, d2 = 26 Dl.O(d1) = 247901827,247898644,247894861,267707674 Dl.O(d2) = 267702011,247857313,247857297,267702012,247842099,247849550,247842109,247842102,247842103,267702701,247864848,247872160,247878974,247878982,247878983,247884999,267706449,247885000,247878984,247872165,267704975,247878974,247878982,247878983,247884999,267706449,247885000,247878984,247872165,267704975,247878974,247878982,247878983,267707055,267706450,247872163,247864846,267704197,247878980,247878978,247872164,247864846,267702702,247842095,247842096,247849549,247857292,247864848,247864843,247857289,247849546,247842107,247835074,247835073,267702007,247857300,247864853,267704202,247857315,247849565,247842113,247835079,247828440,247828436,247828437,247835067,247842096,247842100,267700536,247822265,267699857,247835073,267702007,247857300,247864853,267704202,247857315,247849565,247842113,247835079,247835078,267702009,275093485,247849553,247842101,267700536,247822265,247816427,247810737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645483, s2 = 9018160, dlinesl.size( ) = 2 s1 = 11645483, s2 = 9018160, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11645483, Dl.E( ) = 28, 1.19e-05 seconds used appending s1 = 14268170, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14268191, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11652565, s2 = 12538157, int(edited[s2]) = 0 s1 = 11652565, s2 = 12538157, d1 = 8, d2 = 1 Dl.O(d1) = 266577597,274751772,239353490,239920779 Dl.O(d2) = 238737043,239353487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652565, s2 = 12538157, dlinesl.size( ) = 8 s1 = 16358913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12444400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12444400, s2 = 14057281, int(edited[s2]) = 0 s1 = 12444400, s2 = 14057281, d1 = 0, d2 = 15 Dl.O(d1) = 39773595,48647933,48647932 Dl.O(d2) = 257428533,36986277,36986279,46864800,58232685,59181818,57650424,46305637,46305638,52065873,41751908,32830967,25126101,25126100,32830963,41751903,38726799,30145353,22758404,16546413,11532439,7672045,7672046,11532427,16546392,22758376,28151542,20973414,20973415,28151549,36624946,46491305,57847410,70549442,70549443,58370668,47000273,37114432,37114433,39174799,268968999,47000222,47000221,37114414,37114415,47000252,58370647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12444400, s2 = 14057281, dlinesl.size( ) = 14 s1 = 12033620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14284589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10411582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10411582, s2 = 15054953, int(edited[s2]) = 0 s1 = 10411582, s2 = 15054953, d1 = 17, d2 = 19 Dl.O(d1) = 265424149,226870038 Dl.O(d2) = 265890869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10411582, s2 = 15054953, dlinesl.size( ) = 30 s1 = 12444534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14268289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12104059, s2 = 14354752, int(edited[s2]) = 0 s1 = 12104059, s2 = 14354752, d1 = 4, d2 = 16 Dl.O(d1) = 9892698,10813219,10813220,7207040,7207042,9890876,7207017,7207019,10896737,9883439,6493679,4068926,2434770,1408055,1408058,2434757,4068906,4499303,7145379,9873675,6486294,6486291,9873662,9897853,9898571,9898573,6548970,6548971,5076240,4062080,4062083,6482484,9868345,12360051,8351234,8351233,9877683,9877684,7145588,7145589,9866440,9866438,11395271,9890864,9889999,9889996,9889589,6498307 Dl.O(d2) = 9892380,9892381,8164454,8164453,12134339,9943068,9870775,6484286,4063221,2431709,1406544,800405,453619,255719,255718,453614,800393,1406522,1407301,1407300,2433187,1566704,890858,890859,1566706,2703805,4499730,7145969,10813413,15627010,10887500,10812285,7144967,4499032,4499031,4979828,3008124,3008122,4068884,4534831,2725932,2725933,4534838,4534842,7198008,4972278,4972276,7201733,10890100,15676805,10853067,7175184,4519789,4519790,7175187,10853074,10882482,10882483,10895042,9890694,9890695,14385069,17432536,12287052,12287050,14367980,9874129,6486665,4064585,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942259,1706305,1706308,2942310,4882949,3295902,3295901,4064785,6486993,7531857,11334424,10882085,9888870,6497681,4071528,2436288,2436285,4071517,4094719,2449696,1416355,805797,805799,1416360,2449706,4063604,6481703,6481706,4883370,2942595,2942598,2449635,2449640,4094590,6535027,7832426,4971790,4971788,3003006,1743990,1743988,3003026,4971866,7832533,9876873,14370911,14375793,9897574,6504702,6484173,4063152,4063153,6484180,9870612,14364014,14371941,14371940,14387562,9893270,9893272,10889659,9870535,9870534,7199005,6506314,6506311,9899506,9892735,9877225,9877222,9898264,6505321,4076483,4076482,6505315,9891387,6499698,4072773,2437024,1409194,801706,801708,1409197,2437030,4072789,6499722,8174336,8174337,9873862,9873861,9893370,6501245,6501246,9893373,14387658,14372093,9896185,6503572,254688397,13555766,13555765,10891194,7202535,4537762,2727545,2727544,4537757,2942734,2942733,3044947,3044946,5030029,5030039,3044969,3044968,5030068,7201378,7201361,7201362,9891905,6500062,6500061,7197285,4534388,4534387,7197280,10884727,12581936,8534937,8534936,9897349,7201095,4536867,2727069,2727073,4536877,6504291,4075758,4075757,4535255,4074241,2437784,1409548,1409547,2437775,4074210,6501992,7199250,6079238,6079240,6490755,6490757,9879658,12495960,9894216,6501955,4074190,4074195,4067042,4067043,6490712,254972119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12104059, s2 = 14354752, dlinesl.size( ) = 14 s1 = 11240427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240427, s2 = 11068692, int(edited[s2]) = 0 s1 = 11240427, s2 = 11068692, d1 = 23, d2 = 25 Dl.O(d1) = 257422480,58158651 Dl.O(d2) = 28415881,255386403,10506218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240427, s2 = 11068692, dlinesl.size( ) = 26 s1 = 12444564, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15055019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15055019, s2 = 10445524, int(edited[s2]) = 0 s1 = 15055019, s2 = 10445524, d1 = 64, d2 = 53 Dl.O(d1) = 256860723,58388116 Dl.O(d2) = 255656070,4395291,2633896,2633897,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380149,682219,1209703,1413174,2444027,4085004,6519672,6520945,254690065,9122825,13350559,9122823,9122824,9123911,5970370,3733669,2235461,1296413,739935,739934,1296412,2235459,3733667,5970365,9123525,9123524,9462808,9462809,6998330,4398083,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6531064,4092243,2448312,2448310,4092239,5721125,5721123,6167783,6167788,6167823,3859293,3859295,6167865,6570287,6517165,4083477,4083472,4084599,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,1303001,1303002,2246422,254443539,9165149,13405524,14192425,9756319,6414992,4024614,2411803,2411802,2321843,2321844,3876860,4592668,5367743,3300020,3300021,2763031,2763028,4592544,6153952,9393523,11004991,14421117,9919626,6519428,6519427,9919624,14421116,20110065,21363889,15745469,15745471,20246696,20246695,24521849,18090323,268271771,31286808,23800365,17467689,12315027,8318454,5367822,4592537,4592540,6579088,6998862,6998865,9919471,9919470,14420960,15872158,15872159,21318035,20110927,20110928,20107693,14418079,13431913,255261293,10619549,7008328,254731063,6994310,4395585,2634042,1521112,862459,486754,273753,151649,151646,273739,486796,862544,1521276,2634361,4396134,4396102,4396103,2634476,2634479,4396356,4083947,2443461,2443457,4083926,4085758,4084380,2443697,1413015,1413016,2443678,4084348,6518651,6569968,6521043,6521041,8720536,9916520,6516979,6516977,4396323,4396324,6995476,10602671,10681812,10681815,12850982,12850983,9916283,6516805,6516803,6994750,6569497,6569498,4405346,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,142279,256826,256827,455651,804036,1413112,2443183,4083332,4083331,5971942,9126064,13354004,15017563,15017564,14421497,9919971,6519678,6519677,9919969,14421495,14421839,9920331,6519967,4085187,4085186,6519966,254636088,5717849,4115195,2461504,2461503,4115194,4405457,6203101,6203103,6569272,4115277,3522669,254196279,679880,378729,378586,207922,207923,378519,667770,370423,202800,110606,60713,60709,34351,34347,35498,35494,64465,64463,64465,64472,64474,64037,64040,68889,127115,230878,410451,254436321,8966362,255240839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15055019, s2 = 10445524, dlinesl.size( ) = 56 s1 = 14140919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14140919, s2 = 11259978, int(edited[s2]) = 0 s1 = 14140919, s2 = 11259978, d1 = 40, d2 = 0 Dl.O(d1) = 274373212,210536153,205352478,264412937,274228032,199090069,191686724,273288475,274036510 Dl.O(d2) = 122950435,261405888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14140919, s2 = 11259978, dlinesl.size( ) = 42 s1 = 12104115, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14124664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11645139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645139, s2 = 10460249, int(edited[s2]) = 0 s1 = 11645139, s2 = 10460249, d1 = 23, d2 = 20 Dl.O(d1) = 247838178,267700786 Dl.O(d2) = 267685274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645139, s2 = 10460249, dlinesl.size( ) = 20 s1 = 11538771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538771, s2 = 10466184, int(edited[s2]) = 0 s1 = 11538771, s2 = 10466184, d1 = 20, d2 = 0 Dl.O(d1) = 228086700,265748985,226868723,265748983 Dl.O(d2) = 219700082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538771, s2 = 10466184, dlinesl.size( ) = 26 s1 = 12104193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12036160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10525155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12444808, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11495227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495227, s2 = 6383762, int(edited[s2]) = 0 s1 = 11495227, s2 = 6383762, d1 = 104, d2 = 26 Dl.O(d1) = 274287843,265889977,231620866,266249603,235048537 Dl.O(d2) = 247399838,247399839,247375250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495227, s2 = 6383762, dlinesl.size( ) = 58 s1 = 11485315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485315, s2 = 14309025, int(edited[s2]) = 0 s1 = 11485315, s2 = 14309025, d1 = 0, d2 = 3 Dl.O(d1) = 263594518,187893465,187893466 Dl.O(d2) = 178792489,168487196,157040194,144642141,131419464,270873044,258204150,62687868,51057918,40916720,32139307,24557516,24557515,32139305,39239347,30641489,23218224,23218223,30641487,32136430,40914196,40915179,40915178,39992653,31315880,23826505,23826504,31315876,32139226,24557454,24557451,32139220,255523748,40915448,40917739,34591171,34591170,43861272,39485686,30880058,30880059,39242180,35233617,27138589,20231449,255172230,27138582,35233606,39242315,32138011,32138010,40915632,38013546,29451453,22117642,16004515,16004514,22117641,29451449,38013541,36868136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485315, s2 = 14309025, dlinesl.size( ) = 2 s1 = 11485315, s2 = 14309025, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11485315, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14167162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12038428, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11268217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268217, s2 = 11302816, int(edited[s2]) = 0 s1 = 11268217, s2 = 11302816, d1 = 36, d2 = 48 Dl.O(d1) = 261562165,162612644,173638701,183429539,264134187 Dl.O(d2) = 263861966,162751630,150655278 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268217, s2 = 11302816, dlinesl.size( ) = 58 s1 = 12444984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11419323, s2 = 6890121, int(edited[s2]) = 0 s1 = 11419323, s2 = 6890121, d1 = 20, d2 = 32 Dl.O(d1) = 176083426,165402724,153623055 Dl.O(d2) = 259712975,257837727,42906042,33860791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11419323, s2 = 6890121, dlinesl.size( ) = 42 s1 = 11613023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613023, s2 = 10351323, int(edited[s2]) = 0 s1 = 11613023, s2 = 10351323, d1 = 60, d2 = 73 Dl.O(d1) = 267033866,240391094,240391093,240881293 Dl.O(d2) = 189822955,180938062,180938063,189822956,197483855,197483854,274044397,264244700,272575314,86497275,72900808,60163958,259425688,255501641,30265710,268608490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613023, s2 = 10351323, dlinesl.size( ) = 44 s1 = 10622200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10624862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10624862, s2 = 11143532, int(edited[s2]) = 0 s1 = 10624862, s2 = 11143532, d1 = 24, d2 = 21 Dl.O(d1) = 40169348,47816234,59214876,257417804,87716031 Dl.O(d2) = 259279082,87716030,87716029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10624862, s2 = 11143532, dlinesl.size( ) = 30 s1 = 12445110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11616383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616383, s2 = 10645556, int(edited[s2]) = 0 s1 = 11616383, s2 = 10645556, d1 = 29, d2 = 25 Dl.O(d1) = 267161578,243654210,267251602 Dl.O(d2) = 266423290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616383, s2 = 10645556, dlinesl.size( ) = 28 s1 = 11583583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583583, s2 = 14118251, int(edited[s2]) = 0 s1 = 11583583, s2 = 14118251, d1 = 65, d2 = 130 Dl.O(d1) = 237288150,238029801 Dl.O(d2) = 265481967,265934353,229564336,229564337,229564339,231026303,265823096,227919391,226048055,223901069,221423796,218533724,218533725,215098658,210926309,273678492,263806830,264690510,210926309,273678492,263035398,174200943,163348144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11583583, s2 = 14118251, dlinesl.size( ) = 56 s1 = 12445172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12445222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11208239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14168336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14168336, s2 = 14059984, int(edited[s2]) = 0 s1 = 14168336, s2 = 14059984, d1 = 12, d2 = 40 Dl.O(d1) = 12444637,267911407,3337543,3337542,5429261,8413010,12444633,12454777,12454778,17632647,255804240,17621186,17621187,17643776,12469628,12469627,17642902,256026493,17632684,17624850,17624849,13557416,9281835,9281836,8449058,5457325,3355125,1972420,1126126,1126128,1961572,1961571,3335337,5425623,5425514,5425515,5455934,3354179,3354178,5443429,5443427,8412771,12444391,12477852,12477851,254860627,8443285,8450828,8416941,8416942,8450826,6978646,4384611,3346258,1967543,1123652,1123651,1967540,3346251,5443275,254407779,3356674,254600009,1966673,254272595,5440698,8428375,12442077,8410461,5430293,3338165,1963101,1121303,1121302,1963097,1968591,1968593,3348152,5446345,8435563,12450717,8436213,8436214,8443312,8443313,12463389,8432054,8432050,5443534,5443533 Dl.O(d2) = 258019507,21029703,15104809,10418139,10418138,15104808,21029697,28225820,36719294,41655012,32744901,32744902,41654994,255474520,25054154,25054323,25054324,32745174,37209555,37209554,37209568,268604808,32744966,25054205,25054203,32744962,257169397,32744836,25054123,18516741,13156277,13156278,18516744,25054133,32744851,41654931,37030148,255375926,58272686,61714868,50235754,50235755,41655242,32745076,30621156,23199480,16930429,11849371,7919716,7919717,11849368,11849369,16930423,23199470,30621141,39218276,49144794,60544127,73287319,76887989,63777871,60544301,60544302,58589151,47197840,47197841,58589152,60544087,60544077,59265123,47869566,37951511,37951512,39218387,39218386,38765426,38765427,47299814,39218250,30621118,23199460,23199458,30621115,39218247,47869456,37951426,37951427,47869458,58699392,71432072,85005888,85587761,89460308,85005876,85005877,85007802,83839960,75972967,66902989,60084325,48688466,38766765,267913720,48741390,38821324,38821325,39506047,30898650,23465164,23465163,30898647,39506043,49436889,60838500,61667606,50183127,40158589,31474215,31474216,40158590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14168336, s2 = 14059984, dlinesl.size( ) = 40 s1 = 12045164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303175, s2 = 10980412, int(edited[s2]) = 0 s1 = 11303175, s2 = 10980412, d1 = 47, d2 = 53 Dl.O(d1) = 259397342,260615874,184942480,193280877,260699748 Dl.O(d2) = 86053195,72454592,72454591,268435014,254836944,254393476,22504364,22504365,22504371,17834226,12628602,8574142,5570065,5570068,8574146,12628608,17834231,254173940,13736048,17775171,17775166,21493639,19230002,13737695,13737696,254418172,17439834,267773634,8302921,11147459,7393734,7393735,8302817,12293205,12317819,8320198,5368830,5368829,8320195,6166096,6166095,6166103,6166105,9411322,13737455,19229681,19226747,13734874,13734873,12565889,8520916,8520915,12552476,8510757,8510756,12552472,12639132,10596920,10596922,15341971,17361998,16892478,16892477,23153704,17415740,12590659,12590658,17788890,19230611,13738265,13738264,17740872,17740870,17786213,12588653,8540746,8540747,7393840,4671101,2814264,2814266,4671105,7393847,11147650,16054974,22181147,29523595,38087664,40253443,40253442,39939787,31264792,23779543,19285722,19285721,17825916,17825915,24195140,31702769,31578425,30039899,30039900,24830973,21558942,15538120,10746177,7099908,4470303,4470302,6392897,254276812,12522372,12522373,254412520,19700057,26439447,31639000,24131714,17768196,12573963,8527944,5526387,5526388,8527948,12573974,17768209,22315418,22315417,17736527,12549391,12549392,16620989,254605742,24071075,30040555,31576808,24071056,17714818,12531485,8492540,5493242,5493243,8492546,12531473,12624067,8570169,8570170,9718560,9718559,14126228,15062945,11581696,10387525,10387524,12540055,8501071,8501072,12540071,16470727,11475959,7632928,7632926,6869466,6869467,10420364,7708775,4878663,4878664,7708680,11581327,7708852,6536261,4095259,2449999,1416506,805866,805870,1416499,2449978,3736259,3736258,5974347,5974408,3736283,3736282,5974399,9129472,13358424,18759766,14129555,14129554,17725437,17725428,17725147,17725151,14126157,14126158,17794452,16625622,16625619,14456261,14456262,12541163,12541160,14456567,20152492,27044897,27043866,27042208,27042209,28231217,31591360,27042272,20149447,254588392,23794639,23794637,254268148,23796971,17464640,12312614,12245190,8270300,5336599,5336600,3280516,1929616,1929614,3280512,5336618,8270341,12245262,15489794,10711489,10711488,15489781,19781654,19781655,26585794,29668567,254089200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303175, s2 = 10980412, dlinesl.size( ) = 26 s1 = 12105411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12105411, s2 = 10907654, int(edited[s2]) = 0 s1 = 12105411, s2 = 10907654, d1 = 1, d2 = 1 Dl.O(d1) = 71307122,79588847,66506199,54322590,46296527,46296528,54065584,54065588,46261663,46261661,57603776,70292528,80854749,67387304,55056709,55056706,44926861,44926864,55870871,55066356,44234660,44234655,44171373,44171374,44173331,34833077,34832629,34832626,26787593,19933815,19933814,26511848,34444553,43633958,54276170,66448681,257962264,270672486,108074713,93665856,79543532,256265746,43485051,43485052,54051000,51307143,41124163,32311048,32311046,24697558,19954421,14288938,14288941,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423368,4048000,2423409,2423407,4048125,6459137,9832918,14313839,19989518,26865493,34938105,39645355,39645352,49634449,256252856,41437812,32573683,24918536,18410853,18410851,23532351,30937457,30989784,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,19954483,14313642,9832790,9832786,6459139,6459137,9832919,14313849,19989538,26865533,34938169,44309062,54260396,54260594,66434010,73854401,73854404,80261255,73675506,73675507,87296760,271736252,262115562,262455844,260850942,257180412,23871771,23871772,27003636,256111140,20113755,27004307,35090024,44465531,44465530 Dl.O(d2) = 71307122,79588847,66506199,54322590,46296527,46296528,54065584,54065588,46261663,46261661,57603776,70292528,80854749,67387304,55056709,55056706,44926861,44926864,55870871,55066356,44234660,44234655,44171373,44171374,44173331,34833077,34832629,34832626,26787593,19933815,19933814,26511848,34444553,43633958,54276170,66448681,257962264,270672486,108074713,93665856,79543532,256265746,43485051,43485052,54051000,51307143,41124163,32311048,32311046,24697558,19954421,14288938,14288941,9830778,6457977,4047985,2423372,2423369,4047983,2423372,2423368,4048000,2423409,2423407,4048125,6459137,9832918,14313839,19989518,26865493,34938105,39645355,39645352,49634449,256252856,41437812,32573683,24918536,18410853,18410851,23532351,30937457,30989784,30991550,23523199,23523196,30991533,34946508,34946505,41718823,34877621,26821073,26818341,19954486,19954483,14313642,9832790,9832786,6459139,6459137,9832919,14313849,19989538,26865533,34938169,44309062,54260396,54260594,66434010,73854401,73854404,80261255,73675506,73675507,87296760,271736252,262115562,262455844,260850942,257180412,23871771,23871772,27003636,256111140,20113755,27004307,35090024,44465531,44465530 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12105411, s2 = 10907654, dlinesl.size( ) = 2 s1 = 12105411, s2 = 10907654, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12105411, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10907653, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11655245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655245, s2 = 10340052, int(edited[s2]) = 0 s1 = 11655245, s2 = 10340052, d1 = 14, d2 = 16 Dl.O(d1) = 257425837,70913916 Dl.O(d2) = 58201380,257640950,36957094,28456730,21230570,255168112,6944061,6944060,10529058,6970540,6970541,10552303,8115406,5199156,5199158,8115413,12068541,17164766,23438907,21927263,21927262,255872801,25577413,18968845,13533527,254548928,9963995,6548531,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,3792302,2271631,1317436,751671,751673,1317446,2271650,3792343,6061239,9254859,9263070,6067043,3796009,2273763,2273765,3796018,6060909,6060907,9254306,10699391,7265667,4581955,2756667,2756666,4581948,6062736,4366396,4366398,6062666,6063987,6948727,10536657,15269679,15279717,10545795,6954943,4369908,2618088,2618089,3006520,4976996,270865831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655245, s2 = 10340052, dlinesl.size( ) = 12 s1 = 14168940, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12106065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14169112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14484435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14484435, s2 = 7642202, int(edited[s2]) = 0 s1 = 14484435, s2 = 7642202, d1 = 4, d2 = 56 Dl.O(d1) = 19423483 Dl.O(d2) = 270587736,257256546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14484435, s2 = 7642202, dlinesl.size( ) = 32 s1 = 10988225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988225, s2 = 10395161, int(edited[s2]) = 0 s1 = 10988225, s2 = 10395161, d1 = 7, d2 = 13 Dl.O(d1) = 2525821,1455670 Dl.O(d2) = 4224117,4224079,2525749,2525748,254480083,4224091,4224092,4224759,6742063,254996513,7092266,4465484,2682791,2682790,4465482,7092263,10258378,10258377,14918443,10259719,6741911,6741910,6741906,6741907,10259716,14920318,14918619,10258492,10258491,6741111,4224108,2525766,2525767,4224110,6741114,10258523,10258488,6741077,6741076,10258375,10258498,6741092,6741091,10258494,10259904,255357569,10258527,6741118,4224115,267877445,10258525,10734282,10734283,15520901,21535877,21535822,15520858,14918444,255357555,14918624,10258508,6741104,6741105,10258511,14918631,20815056,20815064,14918636,14918637,256268901,36437377,46290572,36437378,27978472,27978473,20815058,254996301,10258513,10734288,10734287,10260390,10260391,14921251,20818310,27982385,36441414,268386691,21535825,255843191,21535881,15520907,254738115,7092268,10734291,15520911,20815059,27978888,36437887,28802270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988225, s2 = 10395161, dlinesl.size( ) = 2 s1 = 10988225, s2 = 10395161, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10988225, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 15370620, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15370620, s2 = 12446191, int(edited[s2]) = 0 s1 = 15370620, s2 = 12446191, d1 = 38, d2 = 48 Dl.O(d1) = 256563046,30299347,37118172 Dl.O(d2) = 1154467,2017968,3387993,1998827,1998826,2011909,3409712,3416041,2016569,254138059,359102,359101,647187,363474,363473,655566,1168041,2038442,1995844,1995845,1705929,969724,546159,305895,305890,546163,653705,653709,368744,368745,362482,198409,198406,195331,106668,106667,195330,356485,642279,1145000,1153231,646982,646980,1153200,1764717,1005434,566601,317334,175442,96424,53147,53148,96410,96408,96571,96569,175737,317939,567655,647570,1154194,2017516,1769486,1149264,1149266,2009863,2266931,3784047,3454375,3454379,5533820,254276962,2036980,2038299,3443189,3395374,3395375,5018772,3036569,1767611,1767612,1767623,2046601,2015593,1999612,1999610,3392994,2031826,1986012,1986013,1135611,637164,637165,1135616,1705541,969508,546030,305830,305828,169252,169247,305840,546056,969557,1705656,2030692,1989343,1989341,2234777,2234776,3732436,3415237,2015985,1153229,646982,646980,1153200,1764717,1005434,566601,317334,175442,175444,317179,317177,317201,317198,566395,254173803,3032000,5013713,7893010,11636018,7751920,4909422,2959165,2959164,4909420,7751919,7751598,7751599,11635348,7751426,4909070,2958930,1715700,1715699,2958928,4909068,7751423,11635345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15370620, s2 = 12446191, dlinesl.size( ) = 2 s1 = 15370620, s2 = 12446191, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15370620, Dl.E( ) = 50, 1.88e-05 seconds used appending s1 = 12446192, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15056611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14268517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15056947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15057675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15057675, s2 = 6449847, int(edited[s2]) = 0 s1 = 15057675, s2 = 6449847, d1 = 29, d2 = 46 Dl.O(d1) = 258262634 Dl.O(d2) = 96847029,82905590,76022059,69334232,69334233,76022057,258969468,56366868,56366867,45662904,35986686,35986685,36252136,27847892,27487119,27487115,32762091,27511481,20504190,14710259,12233684,12233680,17364404,23685286,17530668,12364276,254594921,3315946,1950614,1950613,3315945,5392565,8354653,12364273,11642279,255122203,8354654,254764881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15057675, s2 = 6449847, dlinesl.size( ) = 28 s1 = 12110195, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13230422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15057131, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12112043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13211462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13373776, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13275791, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 884968, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15059586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15059586, s2 = 6731086, int(edited[s2]) = 0 s1 = 15059586, s2 = 6731086, d1 = 0, d2 = 5 Dl.O(d1) = 1341715,2285196,3814805,3843951,6094014,257807423,77919743,91842841 Dl.O(d2) = 257807834,271552498,262487024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15059586, s2 = 6731086, dlinesl.size( ) = 12 s1 = 13338884, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12119493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14292134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14292134, s2 = 14246530, int(edited[s2]) = 0 s1 = 14292134, s2 = 14246530, d1 = 32, d2 = 37 Dl.O(d1) = 52864691,42460892,33467650,25694824,19069729,13614071,9322054,6106397,3820733,3820734,6106392,6106391,9322044,13614052,19069692,24322657,24322656,31842280,40540515,42560858,38284220,29717590,29717591,36414534,46267211,48131077,38221039,36414535,27956404,20794941,20794940,24464424,32026358,40782852,47184001,37278069,256051713,17935110,22136427,19226502,19226503,25886468,33693316,41727794,41727793,40539747,40539746,50576229,50899753,40783090,32026634,32026612,24464671,18045231,12792071,8696797,8696798,12792075,17934776,17934775,24322017,31841579,26295110,19572894,19572895,26295111,32807137,25104924,18555916,18555917,24322274,24322273,19302885,13801624,13185169,8987956,5868034,5868035,8987959,13185173,15483197,13185179,13185181,18556007,25105029,25886399,19226507,19226508,25886473,32026372,32026373,33693320,42723577,50899555,53173335,258941039,103256688,117385893,260439906,260439908,144419903,131189145,131189144,144419901,156830512,150517661,137486219,137486220,144419907,144419906,131189155,117385899,117385898,131189154,136227972,136227970,149486684,149486669,149486668,149486677,136227964,136227963,149486675,136227973,122258935,107849839,107849838,122258933,136227975,149486688,153713765,153713766,161788211,172955921,172955922,165492570,153713771,141046620,127696854,113827321,99812182,99812181,92743865,92743864,99812186,99812185,99814096,85860651,72268883,72268882,72267192,59533115,59533114,72267191,85858894,259379334,258754414,258754249,99812153,113827301,127696829,141046597,153713751,153713749,153713750,153713752,141297775,259440344,100029946,258816070,113894954,99876450,85921083,72327501,59592795,48206256,255130262,22372926,22372574,21891691,15814201,10959038,10959035,8514493,5512969,3400207,3400203,5512951,8514455,7013421,4409505,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,5574141,8578980,7763575,7763577,11651658,12635466,17843134,24213405,29542641,22199358,22199359,16864271,11796177,7877683,7877681,11796172,16864268,23124018,21988030,21527949,254521378,32094067,28731441,28731440,37263589,29332074,22001362,22001361,21464978,15464068,15464067,21464977,26385256,21203566,21203565,28427197,255333390,25575498,19839109,14212642,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093283,16584014,16584008,16584007,254787322,254787320,12028969,14036737,15478489,21481831,28739468,24822004,18330511,13012050,9694753,9694752,6543220,6543221,9955620,254548994,11089921,11089922,15975374,22081080,26224760,24715207,18242317,12939949,12939948,18242313,14491316,14491317,19065837,19065812,13611213,13611214,19065818,16854570,11787732,7871128,7871129,11787724,16569279,16569282,16916181,23181184,23338183,17071970,17071969,255113124,39362221,256437134,60690711,60690710,257561888,270877295,78680347,65375363,53371217,42905160,256384998,65375359,78680342,65737195,53681133,43170886,34087585,34087586,34087588,34087589,30189366,254545478,48694826,60091078 Dl.O(d2) = 44352688,44352690,55203309,67547106,81015910,73414873,60667696,49267661,39341923,30742909,23322075,17056875,17056874,23322073,30742904,39341919,49267655,60667688,256736200,76084886,76084885,89885417,97692218,258280302,63084856,269943329,93231580,107635236,98877734,84952128,71376437,58640146,47247002,46950830,37071040,28568487,28568486,37071038,46950826,51000913,43958380,34683343,26689141,19869985,19869984,26689140,34683341,43958378,54702402,50945549,40823020,40823021,50945550,61549689,50071212,40051360,40051359,50071210,61549693,50945542,50945541,258944465,77494161,258816318,61549691,258262663,270869260,77494158,257646266,259027495,64329742,64329740,52462067,269501849,62552403,62552404,60802973,49402351,257614593,257786447 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14960720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15061102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15061102, s2 = 6488751, int(edited[s2]) = 0 s1 = 15061102, s2 = 6488751, d1 = 5, d2 = 39 Dl.O(d1) = 36569091 Dl.O(d2) = 193353896,185023370,175483515,164730060,152898781,140208437,126861633,113009647,99021629,85096620,71524788,256452796,37501108,28958295,21676865,255125148,17145884,12050112,12050113,17145886,23422909,30853578,23422906,23422907,30853579,39457721,258220591,258220593,87152634,87965698,256821804,61587047,255370064,31406163,23914991,17572450,12400648,8380592,8380594,12400653,14560701,20291352,20291152,14560542,14560543,15058387,10384064,6843459,6843458,10384059,15058377,20968113,24465487,19221272,19221271,21664082,21664084,18271430,13730372,11491356,7642944,7129272,7129270,10790876,15598748,21620778,17821963,12618289,8565340,5561632,3445837,2040288,2040289,2040103,2040107,2743503,3728341,4490498,4490499,4763467,7530416,8173608,5562351,3446282,2040532,1169352,1169351,2040527,3446270,5274424,3228647,3228650,5274419,4755144,2911894,1689234,1689233,2855111,4612234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15061102, s2 = 6488751, dlinesl.size( ) = 2 s1 = 15061102, s2 = 6488751, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15061102, Dl.E( ) = 40, 1.31e-05 seconds used appending s1 = 15362670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10529489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14171766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14171766, s2 = 1777037, int(edited[s2]) = 0 s1 = 14171766, s2 = 1777037, d1 = 33, d2 = 35 Dl.O(d1) = 20879790,14977812,14977811,20879789,28047984,32559994,24908939,24908940,32559996,41419299,51266650,41089496,41089497,46371064,36512141,31503060,24004423,17659245,17659246,24004426,31503064,40188268,47359742,51600731,57721421,46371053,36512135,36512134,46371049,42003594,33060012,25330859,18750987,18750986,25330855,33060002,42003576,36512128,28048003,255362657,14977819,18750990,20879830,14977839,14977840,20879832,28048045,36512181,46371101,57721490,70416407,70416483,74474493,61691933,50210179,50210178,50210205,40188287,40188286,31503105,24004452,17659256,12487759,8458137,8458136,12487757,17659251,24004446,31503097,40188312,50210237,61691984,59918230,48524863,38609374,38609373,46371013,42003586,33060006,33059998,268740403,42003568,52342498,61691944,52342533,42003611,33060020,25330863,25330862,33060017,42003605,52002710,41691064 Dl.O(d2) = 46836764,36958575,36958574,46836763,58202782,70915307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14171766, s2 = 1777037, dlinesl.size( ) = 12 s1 = 12072503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15909536, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15567891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15567891, s2 = 11028359, int(edited[s2]) = 0 s1 = 15567891, s2 = 11028359, d1 = 36, d2 = 51 Dl.O(d1) = 266852162 Dl.O(d2) = 19304158,13802531,9465673,6206542,3884733,2326149,2326150,3884738,6206554,9465659,6371996,6371994,268040225,254944519,6206272,6206271,9465209,13802464,13802467,19304054,13802541,9656848,6349995,3984200,2387865,1382326,786410,445574,437300,437298,769369,1348362,2326065,3884575,6206288,9465237,9687193,6372046,6372048,9465221,13802641,19304302,25971090,25971147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15567891, s2 = 11028359, dlinesl.size( ) = 32 s1 = 9368586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9368586, s2 = 2036000, int(edited[s2]) = 0 s1 = 9368586, s2 = 2036000, d1 = 19, d2 = 15 Dl.O(d1) = 257518583,38199444,38199445,48110701,59498855,58315994,58315993,71031858,71031860,258669910,72234341,85826769,75547705,62609703,258946431,62609708,50987280,40852394,256063955,18078211,12816828,12816829,12816844,18078234,24506719,24317437,17931091,12705139,12705140,12816841,8714352,8714353,12113010,13221257,9180569,9124402,5970677,3733862,2235552,2235554,3733868,5970687,9124415,13352240,255656051,256633755,42026678,47109567,257447013,64194343,77341619,91261574,91261581,77341628,64194349,52344236,42005269,33061570,33061569 Dl.O(d2) = 119723069,105483875,91261459,77341533,77341534,86443435,86443434,100399500,91261298,77341416,64194216,64194217,77341418,77341531,91261456,105483871,119723077,260495048,119723059,105483859,105483861,105483854,98194701,98194700,91261505,77341564,64194312,64194313,77341566,91261473,100399447,100399398,86443367,72848722,60112283,60112282,72848720,86443366,86443121,72848641,256833870,60112307,255378816,30212165,30212166,38796439,48717626,60112317,72848773,257413048,258023088,128299032,128299020,128299021,259893060,100399011,86443072,72848539,60112186,60112187,72848541,86443076,257676428,52917712,256038336,269173476,19540270,13991562,13991563,19540272,26259334,26259253,26259252,31217204,23732931,17408377,17408378,13181783,8985335,8985334,13181780,18552075,25100595,32802379,256181189,26259248,255909018,28319060,28319061,27998118,27998117,36456599,46309464,46309460,46309459,37874096,29305005,21977395,268396913,37874093,30089923,22708283,255931467,256973729,42455598,33462609,33462611,42455602,42259459,33279736,25519545,18909902,13478435,13478436,18909904,25519546,33279737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9368586, s2 = 2036000, dlinesl.size( ) = 18 s1 = 14172722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12451518, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12451518, s2 = 4292913, int(edited[s2]) = 0 s1 = 12451518, s2 = 4292913, d1 = 1, d2 = 8 Dl.O(d1) = 37975298 Dl.O(d2) = 165294218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12451518, s2 = 4292913, dlinesl.size( ) = 2 s1 = 12451518, s2 = 4292913, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12451518, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 15930727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15930727, s2 = 1178773, int(edited[s2]) = 0 s1 = 15930727, s2 = 1178773, d1 = 7, d2 = 7 Dl.O(d1) = 9975108,9975107,14497008,19298152,13797618,13797620,19298155,255210438,14495780,20201907,23300625,30718057,27101840,20202952,14496660,9974827,254981277,20202950,27102797,35190705,27101821,27101822,35190707,257319331,55416030,55416155,67756301,67756304,257319335,35190727,27101835,27101834,35190725,44568871,49243721,49243720,60644535,73391229,86085507,72488176,257538131,38469886,29911999,256415491,44569814,35191717,27102799,20202954,20202955,27102800,35191719,44569815,55417007,59821347,48435380,48371520,48371519,46278766,36425903,36425902,257383191,48435387,48435386,59821359,72556726,86154999,86155000,100121321,86155019,86155020,72556747,257543025,38527436,29961869,29961868,38527432,38527439,29961871,22597349,16414297,16414298,22597351,29961875,38527446,48435406,59821386,270134523,86155030 Dl.O(d2) = 9975108,9975107,14497008,19298152,13797618,13797620,19298155,255210438,14495780,20201907,23300625,30718057,27101840,20202952,14496660,9974827,254981277,20202950,27102797,35190705,27101821,27101822,35190707,257319331,55416030,55416155,67756301,67756304,257319335,35190727,27101835,27101834,35190725,44568871,49243721,49243720,60644535,73391229,86085507,72488176,257538131,38469886,29911999,256415491,44569814,35191717,27102799,20202954,20202955,27102800,35191719,44569815,55417007,59821347,48435380,48371520,48371519,46278766,36425903,36425902,257383191,48435387,48435386,59821359,72556726,86154999,86155000,100121321,86155019,86155020,72556747,257543025,38527436,29961869,29961868,38527432,38527439,29961871,22597349,16414297,16414298,22597351,29961875,38527446,48435406,59821386,270134523,86155030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15930727, s2 = 1178773, dlinesl.size( ) = 2 s1 = 15930727, s2 = 1178773, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15930727, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14095507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14095507, s2 = 15268266, int(edited[s2]) = 0 s1 = 14095507, s2 = 15268266, d1 = 1, d2 = 1 Dl.O(d1) = 83891409,97748079,83891407,83891408,72464253,72464252,59728719,48344329,48344330,59728721,72464255,86062274,100025294,114052515,114126876,100091936,86124338,72524797,255912048,48405228,255912046,72524795,86124334,100091931,114126871,128017112,128017110,128017109,141386530,154061479,165831882,176488330,165831880,165831879,176488327,185919134,194141119,201183572,207112937,212003504,216000220,219311379,264764596,222535974,222535975,222535972,219796923,216551953,212638951,207851652,202043481,195136052,263511964,167291398,155659567,143107932,261675358,115877991,115877992,126864006,113012254,99024464,99024465,99141364,85218743,85218744,99141366,113131747,126989957,129777401,129221008,260089165,101214545,115292753,126706956,112855177,98867247,84940378,71363732,58627078,256875197,28789289,21525259,15513072,10728826,10728825,255410041,28789287,255222122,24080191,28908848,21634463,21634462,26311182,26311181,30384216,22981960,16744621,16744622,22981964,21634477,15602920,14517765,9989609,9989608,14517760,20231503,27138685,35233727,44615341,55464066,67805660,70848645,59499557,48111446,48111439,48111440,59499549,50294264,50294263,52463468,52463469,49218688,39292015,31585948,24080196,17723031,12538847,12538846,17723028,22526748,22526747,29882168,38440126,41016315,32225916,24630217,18176267,12890341,8767176,8767177,12890343,18176272,24630228,32225936,41016344,51170294,62816874,62816880,75776791,89553959,99844551,85889818,72297038,59562588,48175916,38266318,38266319,48175917,59562591,62816877,59500341,59500340,72235776,85828172,99781542,85828188,72235812,258751451,85782420,72235815,59500382,59500337,48112240,38201120,29634334,22282060,16138042,16138043,22282063,29634341,38201142,48112289,59500388,72188303,59500387,48112285,256396497,29634338,38146048,38146047,48059024,48059022,48059021,38201151,38201152,48112228,48112229,59500324,72235766,85782422,72188310,59450340,257014662,29579797,29579798,29579793,268402705,16138033,11210544,7438347,7438348,268085051,22282049,268635241,29579800,22231968,16097142,11180447,11180446,16097139,22231962,29579788,38146044,40952734,51095862,51429606,51429607,59500328,59500327,72235767,76430741,63386977,63386976,76430740,63386982,51644273,41403673,32545876,24896946,24896947,27959291,20797657,20797656,27959289,36417243,46269849,38637099,38637098,48551598,59500331,59500332,59500329,59500330,72235768,63386978,51644270,51644271,63386980,70304961,70304962,76430739,76430738,72682838,59943831,48551593,38637093,30063004,30063005,38637095,48551595,59943835,72682843,76600925,63521496,63521495,256744752,51644266,48059030,48059029,59450338,256856730,48130782,47013089,47013090,268611666,48551607,38637105,38637106,48551608,59943847,72682850,257909702,59974182,63513467,51735847,41466953,268477019,24928490,32589977,41466955,51735848,48551605,48551604,59943844,59943845,63513464,51735856,51735857,51735853,41466960,32589980,24928491,24928492,32589983,41466964,40502360,40502359,50537536,41466969,41466968,51735860,257746297,41466970,41466971,51735863,51735837,41466948,32589973,32589974,41466950,51735840,51735872,41466982,41466983,38797830,38797829,48718941,41466909,41466908,41466978,51735869,52813373,268759248,269526300,51735798,41466903,41466904,51735800,41466987,32590000,32589999,41466985,41466945,41466944,41466912,32589946,32589947,32589992,24928500,18417415,13081450,8913984,5816982,5816983,8913986,13081454,18417423,24928506,255633459,13081461,255235493,24928473,22821683,18417360,13081412,8913959,5816970,5816971,8913960,13081416,13081425,8913966,8913965,13081423,18417380,18417455,24928442,18417514,13081531,8914048,5817022,3628602,3628601,5817019,268017575,18417504,18417435,18417436,18417434,13081463,13081462,255235483,8913961,8913962,8913969,5816974,3628574,2167137,1254248,713329,402977,225630,225631,254111217,1254258,2167154,3628604,5817027,8914056,13081472,18417425,18417522,18417397,13081438,13081435,13081436,18417393,256092521,18417464,18417463,24613099,18417459,13081495,8914019,254901203,18164255,24613098,32201509,40981489,256605601,32201514,32201515,32590012,32590037,24928565,24928441,18417365,18417366,18417488,13081515,8914030,5817009,3628596,3628595,5817007,8914026,13081507,18164258,12881960,8761488,8761487,12881957,18164254,24613096,18417473,13081500,13081499,18417471,24928538,24928576,18417515,18417516,24928510,18417426,18417427,24928513,32590005,41466994,48120237,38209770,32590022,24928546,256092533,32201516,32201503,24613090,18164248,18164247,24613087,32201498,37439804,28899548,28899549,37439806,42712729,53162353,65146636,71865700,71464306,269526116,256671188,38209778,38209779,33766283,33389696,25624126,256113287,18703240,18703239,24928554,18417486,18417487,256092535,41467007,51735880,47728931,37807058,29242809,21923433,21923434,21624412,21624411,25819737,21923424,15837836,15837837,11217691,7443161,4702929,4702928,7443158,11217684,16146805,22291207,29643108,256939247,37807041,37807040,37807063,29242813,21923438,15837844,10975152,7264292,4581121,2756154,2756153,4581119,267970391,255404234,29242782,21923407,21923406,29242771,21923397,15837820,15837819,19169549,254938319,9374724,13688897,13688903,9374727,9374728,13688905,19169559,25819744,22291221,22291220,29643125,34990946,26909880,20026067,14343683,14343684,17509577,19217549,25876633,33682853,40025584,255404232,28604445,21370599,21370600,254501224,15390378,254734294,13688906,13688907,19169563,25819748,25958032,19293475,19293476,19238607,13745071,9417384,9417382,6171383,3861589,2313396,2313394,3861562,3861563,2313563,2313561,2415583,2415585,2313565,1342032,766329,766330,1342004,2313345,3861492,6171225,9418698,13746846,19240700,256159903,42737246,257826831,53690264,53690265,269007138,36634201,28159603,20980181,20980180,28159602,31989388,31989389,28159605,20980182,20980183,28159606,36634205,46501227,47222223,257453951,62427975,62427974,58615454,47222225,47222224,58615453,71352810,84929793,88500666,84929799,84929798,74519701,74519702,62065266,62065267,74863972,88500677,97968511,84095014,70558797,257097984,85125241,85369959,99314760,85369962,258091277,37714003,29153424,255430459,255430463,24560644,32142985,40920119,51060627,51060624,51060625,62689897,75634333,75634330,75634331,86333835,256576330,59999483,72736418,86333832,86333829,72736415,72736414,86333827,100295892,100359505,100295896,86333831,72736417,59999482,255611174,30116393,22735198,16528942,16528943,16943638,23215795,28832936,21562213,17718534,12535147,12535146,17718530,18048499,12794645,12794641,18048487,24468473,31829304,31829305,31829328,31829329,40526426,50562734,62055019,53352717,42887994,33844178,26024189,19348112,13837644,13837645,19348113,26024192,33844182,39220327,30623025,30623026,39220329,256392388,41652172,41382279,32531785,32531783,33028100,33028099,33955033,26117942,19424651,19424647,26117936,33955026,256325921,28679038,37202078,47098261,47098378,44408119,35033187,35033189,44408121,55255800,67597381,58476507,58476506,52506690,42148838,33189632,25444114,25444113,33189629,42148831,52506678,50202633,40179205,31493977,31493978,33208183,42168148,47098475,37202330,28679288,255403641,254733927,4436439,2663923,2663922,4436434,7048684,10672064,15437072,21430365,21430466,28679241,30820248,28679278,21430499,15437147,10672089,10672087,10672088,15437145,21430495,268551510,40179201,40179202,50202630,256228716,42012333,36497325,29353230,29353229,37202199,28679185,21430425,15437103,15437104,21430428,28679031,21430316,21430317,28127176,35146284,42148109,42148110,268550240,21209382,15242839,10515571,6934670,6934671,10515577,15242852,19307698,13805356,9467108,6207508,3885323,2326497,1348569,1348570,2326503,3885336,6207533,6142811,3843600,2303043,2303044,3843604,6142822,9377064,13692175,19174007,25825243,20307806,19538179,13989858,13989857,19538177,20307783,14573762,10028355,6590717,6590718,10028359,14573769,20307792,27237675,29655806,38221783,42656046,44784073,48050449,48050448,55691478,44784208,42656055,42656053,42656054,51380932,41190657,32372263,32372259,32372258,41190650,35360471,256190810,53270980,42818530,42656120,42656118,50686216,40628171,31913454,24381552,24381553,31913457,40628177,50686203,44784206,44784207,48131844,48131845,51336232,51050582,51050581,62681141,255720522,48130436,48130435,38220428,29654434,29654435,38220430,42655791,33626887,33626888,42655795,44784221,44784222,40908917,32131252,32131253,40908919,42162887,43209362,49434545,49434546,51380930,63069173,62681134,51050564,40908923,40908924,33985552,26145636,26145637,33985555,40628167,40628166,47677063,37754841,29193500,21881587,21881588,29193506,37754849,47677077,53107968,53107969,51050630,48137189,48137191,59524380,53938544,53938543,51607879,41381919,41381918,51607877,63331600,58118325,51607838,51607839,51050587,40908939,40908940,51050589,60836400,60836399,255309600,63331605,51607886,41381924,32531420,32531419,268977156,51050572,40908933,40908934,51050574,51607924,41381959,32531447,32531445,32531404,32531405,41381905,51607861,63331591,63331587,51607852,51607853,51607816,46749775 Dl.O(d2) = 83891409,97748079,83891407,83891408,72464253,72464252,59728719,48344329,48344330,59728721,72464255,86062274,100025294,114052515,114126876,100091936,86124338,72524797,255912048,48405228,255912046,72524795,86124334,100091931,114126871,128017112,128017110,128017109,141386530,154061479,165831882,176488330,165831880,165831879,176488327,185919134,194141119,201183572,207112937,212003504,216000220,219311379,264764596,222535974,222535975,222535972,219796923,216551953,212638951,207851652,202043481,195136052,263511964,167291398,155659567,143107932,261675358,115877991,115877992,126864006,113012254,99024464,99024465,99141364,85218743,85218744,99141366,113131747,126989957,129777401,129221008,260089165,101214545,115292753,126706956,112855177,98867247,84940378,71363732,58627078,256875197,28789289,21525259,15513072,10728826,10728825,255410041,28789287,255222122,24080191,28908848,21634463,21634462,26311182,26311181,30384216,22981960,16744621,16744622,22981964,21634477,15602920,14517765,9989609,9989608,14517760,20231503,27138685,35233727,44615341,55464066,67805660,70848645,59499557,48111446,48111439,48111440,59499549,50294264,50294263,52463468,52463469,49218688,39292015,31585948,24080196,17723031,12538847,12538846,17723028,22526748,22526747,29882168,38440126,41016315,32225916,24630217,18176267,12890341,8767176,8767177,12890343,18176272,24630228,32225936,41016344,51170294,62816874,62816880,75776791,89553959,99844551,85889818,72297038,59562588,48175916,38266318,38266319,48175917,59562591,62816877,59500341,59500340,72235776,85828172,99781542,85828188,72235812,258751451,85782420,72235815,59500382,59500337,48112240,38201120,29634334,22282060,16138042,16138043,22282063,29634341,38201142,48112289,59500388,72188303,59500387,48112285,256396497,29634338,38146048,38146047,48059024,48059022,48059021,38201151,38201152,48112228,48112229,59500324,72235766,85782422,72188310,59450340,257014662,29579797,29579798,29579793,268402705,16138033,11210544,7438347,7438348,268085051,22282049,268635241,29579800,22231968,16097142,11180447,11180446,16097139,22231962,29579788,38146044,40952734,51095862,51429606,51429607,59500328,59500327,72235767,76430741,63386977,63386976,76430740,63386982,51644273,41403673,32545876,24896946,24896947,27959291,20797657,20797656,27959289,36417243,46269849,38637099,38637098,48551598,59500331,59500332,59500329,59500330,72235768,63386978,51644270,51644271,63386980,70304961,70304962,76430739,76430738,72682838,59943831,48551593,38637093,30063004,30063005,38637095,48551595,59943835,72682843,76600925,63521496,63521495,256744752,51644266,48059030,48059029,59450338,256856730,48130782,47013089,47013090,268611666,48551607,38637105,38637106,48551608,59943847,72682850,257909702,59974182,63513467,51735847,41466953,268477019,24928490,32589977,41466955,51735848,48551605,48551604,59943844,59943845,63513464,51735856,51735857,51735853,41466960,32589980,24928491,24928492,32589983,41466964,40502360,40502359,50537536,41466969,41466968,51735860,257746297,41466970,41466971,51735863,51735837,41466948,32589973,32589974,41466950,51735840,51735872,41466982,41466983,38797830,38797829,48718941,41466909,41466908,41466978,51735869,52813373,268759248,269526300,51735798,41466903,41466904,51735800,41466987,32590000,32589999,41466985,41466945,41466944,41466912,32589946,32589947,32589992,24928500,18417415,13081450,8913984,5816982,5816983,8913986,13081454,18417423,24928506,255633459,13081461,255235493,24928473,22821683,18417360,13081412,8913959,5816970,5816971,8913960,13081416,13081425,8913966,8913965,13081423,18417380,18417455,24928442,18417514,13081531,8914048,5817022,3628602,3628601,5817019,268017575,18417504,18417435,18417436,18417434,13081463,13081462,255235483,8913961,8913962,8913969,5816974,3628574,2167137,1254248,713329,402977,225630,225631,254111217,1254258,2167154,3628604,5817027,8914056,13081472,18417425,18417522,18417397,13081438,13081435,13081436,18417393,256092521,18417464,18417463,24613099,18417459,13081495,8914019,254901203,18164255,24613098,32201509,40981489,256605601,32201514,32201515,32590012,32590037,24928565,24928441,18417365,18417366,18417488,13081515,8914030,5817009,3628596,3628595,5817007,8914026,13081507,18164258,12881960,8761488,8761487,12881957,18164254,24613096,18417473,13081500,13081499,18417471,24928538,24928576,18417515,18417516,24928510,18417426,18417427,24928513,32590005,41466994,48120237,38209770,32590022,24928546,256092533,32201516,32201503,24613090,18164248,18164247,24613087,32201498,37439804,28899548,28899549,37439806,42712729,53162353,65146636,71865700,71464306,269526116,256671188,38209778,38209779,33766283,33389696,25624126,256113287,18703240,18703239,24928554,18417486,18417487,256092535,41467007,51735880,47728931,37807058,29242809,21923433,21923434,21624412,21624411,25819737,21923424,15837836,15837837,11217691,7443161,4702929,4702928,7443158,11217684,16146805,22291207,29643108,256939247,37807041,37807040,37807063,29242813,21923438,15837844,10975152,7264292,4581121,2756154,2756153,4581119,267970391,255404234,29242782,21923407,21923406,29242771,21923397,15837820,15837819,19169549,254938319,9374724,13688897,13688903,9374727,9374728,13688905,19169559,25819744,22291221,22291220,29643125,34990946,26909880,20026067,14343683,14343684,17509577,19217549,25876633,33682853,40025584,255404232,28604445,21370599,21370600,254501224,15390378,254734294,13688906,13688907,19169563,25819748,25958032,19293475,19293476,19238607,13745071,9417384,9417382,6171383,3861589,2313396,2313394,3861562,3861563,2313563,2313561,2415583,2415585,2313565,1342032,766329,766330,1342004,2313345,3861492,6171225,9418698,13746846,19240700,256159903,42737246,257826831,53690264,53690265,269007138,36634201,28159603,20980181,20980180,28159602,31989388,31989389,28159605,20980182,20980183,28159606,36634205,46501227,47222223,257453951,62427975,62427974,58615454,47222225,47222224,58615453,71352810,84929793,88500666,84929799,84929798,74519701,74519702,62065266,62065267,74863972,88500677,97968511,84095014,70558797,257097984,85125241,85369959,99314760,85369962,258091277,37714003,29153424,255430459,255430463,24560644,32142985,40920119,51060627,51060624,51060625,62689897,75634333,75634330,75634331,86333835,256576330,59999483,72736418,86333832,86333829,72736415,72736414,86333827,100295892,100359505,100295896,86333831,72736417,59999482,255611174,30116393,22735198,16528942,16528943,16943638,23215795,28832936,21562213,17718534,12535147,12535146,17718530,18048499,12794645,12794641,18048487,24468473,31829304,31829305,31829328,31829329,40526426,50562734,62055019,53352717,42887994,33844178,26024189,19348112,13837644,13837645,19348113,26024192,33844182,39220327,30623025,30623026,39220329,256392388,41652172,41382279,32531785,32531783,33028100,33028099,33955033,26117942,19424651,19424647,26117936,33955026,256325921,28679038,37202078,47098261,47098378,44408119,35033187,35033189,44408121,55255800,67597381,58476507,58476506,52506690,42148838,33189632,25444114,25444113,33189629,42148831,52506678,50202633,40179205,31493977,31493978,33208183,42168148,47098475,37202330,28679288,255403641,254733927,4436439,2663923,2663922,4436434,7048684,10672064,15437072,21430365,21430466,28679241,30820248,28679278,21430499,15437147,10672089,10672087,10672088,15437145,21430495,268551510,40179201,40179202,50202630,256228716,42012333,36497325,29353230,29353229,37202199,28679185,21430425,15437103,15437104,21430428,28679031,21430316,21430317,28127176,35146284,42148109,42148110,268550240,21209382,15242839,10515571,6934670,6934671,10515577,15242852,19307698,13805356,9467108,6207508,3885323,2326497,1348569,1348570,2326503,3885336,6207533,6142811,3843600,2303043,2303044,3843604,6142822,9377064,13692175,19174007,25825243,20307806,19538179,13989858,13989857,19538177,20307783,14573762,10028355,6590717,6590718,10028359,14573769,20307792,27237675,29655806,38221783,42656046,44784073,48050449,48050448,55691478,44784208,42656055,42656053,42656054,51380932,41190657,32372263,32372259,32372258,41190650,35360471,256190810,53270980,42818530,42656120,42656118,50686216,40628171,31913454,24381552,24381553,31913457,40628177,50686203,44784206,44784207,48131844,48131845,51336232,51050582,51050581,62681141,255720522,48130436,48130435,38220428,29654434,29654435,38220430,42655791,33626887,33626888,42655795,44784221,44784222,40908917,32131252,32131253,40908919,42162887,43209362,49434545,49434546,51380930,63069173,62681134,51050564,40908923,40908924,33985552,26145636,26145637,33985555,40628167,40628166,47677063,37754841,29193500,21881587,21881588,29193506,37754849,47677077,53107968,53107969,51050630,48137189,48137191,59524380,53938544,53938543,51607879,41381919,41381918,51607877,63331600,58118325,51607838,51607839,51050587,40908939,40908940,51050589,60836400,60836399,255309600,63331605,51607886,41381924,32531420,32531419,268977156,51050572,40908933,40908934,51050574,51607924,41381959,32531447,32531445,32531404,32531405,41381905,51607861,63331591,63331587,51607852,51607853,51607816,46749775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14095507, s2 = 15268266, dlinesl.size( ) = 2 s1 = 14095507, s2 = 15268266, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14095507, Dl.E( ) = 2, 6.91e-06 seconds used appending s1 = 13703672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13703672, s2 = 6824131, int(edited[s2]) = 0 s1 = 13703672, s2 = 6824131, d1 = 8, d2 = 7 Dl.O(d1) = 166583144,154882578,142248496,128896769,114994768,258356616,73345422 Dl.O(d2) = 258887783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13703672, s2 = 6824131, dlinesl.size( ) = 2 s1 = 13703672, s2 = 6824131, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13703672, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 14173574, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15386836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15386836, s2 = 2858499, int(edited[s2]) = 0 s1 = 15386836, s2 = 2858499, d1 = 127, d2 = 151 Dl.O(d1) = 42370912,257213737,64684409,77874015,271049529,134025248,133969962,120127999,105915989 Dl.O(d2) = 49352235,60755197,73504292,87123100,101121125,115198996,113544586,99533300,85586484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15386836, s2 = 2858499, dlinesl.size( ) = 22 s1 = 14068791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15862214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12453844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6873739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6873739, s2 = 9717745, int(edited[s2]) = 0 s1 = 6873739, s2 = 9717745, d1 = 38, d2 = 46 Dl.O(d1) = 259501906,39965522,31290297,31290296,39965520,49982168 Dl.O(d2) = 220577463,264066140,273634292,201763911,263456594,212429731,207609370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6873739, s2 = 9717745, dlinesl.size( ) = 40 s1 = 15067408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15067408, s2 = 15333812, int(edited[s2]) = 0 s1 = 15067408, s2 = 15333812, d1 = 120, d2 = 133 Dl.O(d1) = 259328242,259328244,259577837,117611091,123765856,109575226,95319464,81259372,67790701,67790700,76809554,90678707,257467558,71591279,58868651,58868650,71591278,85158143,258078238 Dl.O(d2) = 175834623,262691251,153296423,140616511,127270688,127270689,127270697,261694603,140616506,262211059,165110023,165110025,263883207,175834625,165110014,153296434,263130575,175834626,165110022,261694601,113412310,99411141,258724813,71885660,85470269,259968097,127270694,140616518,153296427,165110025,263883207,175834625,165110019,165110020,262211065,140616522,127270705,127270704,127270690,261145411,261694605,260568213,113412317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15067408, s2 = 15333812, dlinesl.size( ) = 54 s1 = 14071128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3306087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3306087, s2 = 6797721, int(edited[s2]) = 0 s1 = 3306087, s2 = 6797721, d1 = 9, d2 = 14 Dl.O(d1) = 105895516 Dl.O(d2) = 258634748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3306087, s2 = 6797721, dlinesl.size( ) = 2 s1 = 3306087, s2 = 6797721, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 3306087, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 12456338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13581550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15923944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16390645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12163329, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10550797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13580944, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13580944, s2 = 13610731, int(edited[s2]) = 0 s1 = 13580944, s2 = 13610731, d1 = 4, d2 = 7 Dl.O(d1) = 98233359,112211578,126067883,139439306 Dl.O(d2) = 126067882,126067883,132853190,119033080,113403035,99402243,85461501,71876907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13580944, s2 = 13610731, dlinesl.size( ) = 2 s1 = 13580944, s2 = 13610731, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13580944, Dl.E( ) = 8, 6.91e-06 seconds used appending s1 = 16251329, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16251329, s2 = 9396327, int(edited[s2]) = 0 s1 = 16251329, s2 = 9396327, d1 = 58, d2 = 0 Dl.O(d1) = 178349289,178349292,167923892,167923893,178349293,187549689,195558423,202408154,208164791,212910164,216789718,220005073,222719315,225050931,227075887,228843379 Dl.O(d2) = 28461667,256847711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16251329, s2 = 9396327, dlinesl.size( ) = 2 s1 = 16251329, s2 = 9396327, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16251329, Dl.E( ) = 78, 2.91e-05 seconds used appending s1 = 15180619, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8436515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8436515, s2 = 5191882, int(edited[s2]) = 0 s1 = 8436515, s2 = 5191882, d1 = 45, d2 = 91 Dl.O(d1) = 260186058 Dl.O(d2) = 72074083,85661322,99610892,113625399,127498136,140854993,262224341,176017587,185489812,193755831,200843844,206825694,211768987,215808440 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8436515, s2 = 5191882, dlinesl.size( ) = 24 s1 = 8065665, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13631638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9557268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9557268, s2 = 11098428, int(edited[s2]) = 0 s1 = 9557268, s2 = 11098428, d1 = 18, d2 = 43 Dl.O(d1) = 181796607 Dl.O(d2) = 26022445,33842153,257639016,15178836,11823429,7901418,5022754,3040262,3040267,5022788,7901679,10035040,6594862,6594863,10035064,14583971,15289885,254184344,15299465,10563914,6967614,6965132,6965133,10517555,6936043,4358486,2611402,2611399,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,6959084,6959082,10551584,15286024,12068307,12068308,17164529,12400943,10700838,254735735,5193171,5193172,8105351,5199478,5199477,8103630,8103631,8103759,8103758,12053295,254595475,5398055,8363293,255177967,15218615,10497773,10497774,15218616,21175265,268378701,25085085,18540778,18241290,257317103,20183319,254980293,9963239,267919281,5663695,8701101,12797942,18052443,18052442,24472807,25104274,32806340,258848993,39516239,30907477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9557268, s2 = 11098428, dlinesl.size( ) = 52 s1 = 15072317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14008351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4433525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4433525, s2 = 3638528, int(edited[s2]) = 0 s1 = 4433525, s2 = 3638528, d1 = 1, d2 = 3 Dl.O(d1) = 174979310,164162058,152277122,261082649,112309118,112309119,126169859,129917704,143248836,155799992 Dl.O(d2) = 139545649,126169869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4433525, s2 = 3638528, dlinesl.size( ) = 2 s1 = 4433525, s2 = 3638528, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 4433525, Dl.E( ) = 6, 3.1e-06 seconds used appending s1 = 13661419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13553043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3258721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16388341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16388341, s2 = 1168675, int(edited[s2]) = 0 s1 = 16388341, s2 = 1168675, d1 = 27, d2 = 13 Dl.O(d1) = 138880458,125547803,111741745,111741746,261053551,151583003,138880472,138880473,138880488,138880489,151583029,262615603,172614330,172614329,174313132,262128685,138880459,138880460,151583001,163465858,263061595,151583024,138880481 Dl.O(d2) = 8158568,8158433,8158434,12126760,17244230,21056791,21052565,15121900,10430173,6876398,4316597,4316601,6876407,10430180,15121909,13902431,9540623,6259129,6259132,9540637,13902461,19062718,13608716,9318479,9318478,13608714,19062712,21048283,20806870,20806869,256268121,257096136,24511190,18081764,12819237,12819238,18081765,18084889,12821318,8717116,5674234,5674235,8717118,12821326,8717168,8717171,12821444,18084123,12820804,12820805,12818288,12818287,18080217,18083297,12820249,12820250,18080322,12818360,12818362,18080326,24509361,24508937,18080020,18080022,24508941,24510093,32083333,24509372,18080332,18080333,24509375,32083335,25800650,19154301,19154302,23102333,24514388,24514386,32087816,29755210,29755211,38324795,48234714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16388341, s2 = 1168675, dlinesl.size( ) = 2 s1 = 16388341, s2 = 1168675, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16388341, Dl.E( ) = 28, 1.41e-05 seconds used appending s1 = 12183651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12183651, s2 = 3827313, int(edited[s2]) = 0 s1 = 12183651, s2 = 3827313, d1 = 26, d2 = 1 Dl.O(d1) = 191557330,182913737 Dl.O(d2) = 136281335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12183651, s2 = 3827313, dlinesl.size( ) = 30 s1 = 13978325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12462490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6970915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12463568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15303473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12464582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10246023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10246023, s2 = 3562542, int(edited[s2]) = 0 s1 = 10246023, s2 = 3562542, d1 = 13, d2 = 20 Dl.O(d1) = 261983232,197481099,189820207 Dl.O(d2) = 261776916,260654816,119987563,258813882 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10246023, s2 = 3562542, dlinesl.size( ) = 20 s1 = 10803896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8748153, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12202551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12202551, s2 = 14029420, int(edited[s2]) = 0 s1 = 12202551, s2 = 14029420, d1 = 51, d2 = 97 Dl.O(d1) = 264516478 Dl.O(d2) = 2278995,3804613,6080393,9282212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12202551, s2 = 14029420, dlinesl.size( ) = 26 s1 = 10258163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10258163, s2 = 10263502, int(edited[s2]) = 0 s1 = 10258163, s2 = 10263502, d1 = 5, d2 = 7 Dl.O(d1) = 101948507,115992237,129889457,129888995,115991732,101947980,87975934,74374212,255180450,31417850,35201629,44579766,41739232,41739233,48661190,60057847,63337520,51613346,51613347,63337518,51613345,41387267,41387266,51613343,63337516,76369985,90199611,104354845,261435419,119878386,259654204,87625700,74021623,61241096,256124328,35020880,26940015,20054148,269501644,123556549,137288740,150330440,162465599,173505129,183307162,191876887,199248560,205486143,273626602,218332024,221248286,223746415,223746417,223746426,221248294,221248295 Dl.O(d2) = 264868228,221248285,221248284,223746415,221248287,221248288,223746419,225911282,265289452,225911288,225911287,227799623,225911278,223746416,221248285,221248284,223746415,223746417,223746426,221248294,218332027,214862659,214862660,218332029,218332023,218332022,221248288,223746419,225911282,265289452,225911286,225911283,225911284,225911281,225911282,265289452,225911288,225911287,227799623,225911278,223746416,221248285,221248284,223746415,223746417,223746426,221248294,218332027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10258163, s2 = 10263502, dlinesl.size( ) = 2 s1 = 10258163, s2 = 10263502, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10258163, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10263503, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 4883936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7342614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7342614, s2 = 4554449, int(edited[s2]) = 0 s1 = 7342614, s2 = 4554449, d1 = 15, d2 = 7 Dl.O(d1) = 265633050,265658305,225732753,225732754,223534134,220997071,220997070,220997069,223534117,223534118,223534114,223534113,225732735,225732750,225732749,225732753,223534130,220997068,218030279,218030278,220997066,220997053,218030272,214492660,214492659,218030276,220997062,265495855,227649479,227649474,225732751,225732752,223534134,220997071,220997070,220997069,223534117,223534118,223534114,220997054,218030272,214492660,210188672,210188673,214492662,218030280,220997069,223534117,220997057,218030274 Dl.O(d2) = 220997051,218030271,214492656,210188670,204924911,198574121,191079775,182372806,172415778,161207865,148893248,135645582,121702108,107321300,92916841,78810612,65479989,53459490,256623084,26097316,26097315,32662388,24987996,18465295,18465296,24987998,32662390,41553187,41553188,35037979,26957982,20074169,14391529,14391528,20074167,26957978,35037973,44412547,42762016,33732120,33732119,27299651,20360929,20360930,27299653,35431961,35062138,26978933,26978932,35062136,44436117,256241853,20360918,14614734,14614733,20360916,27299630,35431901,27299601,27299600,23039695,23039694,27299646,35431951,35431947,35431946,44870774,269657769,68227934,68227949,257766692,44870771,44870772,44870769,35431940,32662402,31827411,31827410,40524499,32662394,32662395,41553199,50040327,49057071,39127027,30528670,30528669,39127026,38845150,30261687,30261685,37224377,37224376,40020675,50040325,58559264,47170342,47170343,58559266,48764602,48764601,60158394,49813287,39792709,39792708,42783538,42783537,37264324,37264323,47170360,58559284,71291270,84865550,98793815,112786090,126644103,139999023,152696242,164537130,175303991,184858886,193202507,200364094,206414144,206414143,211418162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7342614, s2 = 4554449, dlinesl.size( ) = 12 s1 = 11538494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15774660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15774660, s2 = 8592834, int(edited[s2]) = 0 s1 = 15774660, s2 = 8592834, d1 = 43, d2 = 12 Dl.O(d1) = 133025738,146259544,158633758,169996177,180165796,180165795,180165797,189110082,262948124 Dl.O(d2) = 229083062,227358231,264607150,220488350,220488351,223116382,225386026,227358233,227358220,264607148,220488345,217397117,213688057,262893890,203657589,197068087,189353755,189353754,262431188,209166307,213688112,213688060,213688062,264028450,223116385,225386023,223116379,220488350,220488351,223116382,225386026,227358233,227358220,264607148,223116374,225386016,264332892,217397172,217397171,220488422,223116456,225386087,227358243,225386036,223116392,220488357,220488356,223116387,264607166,223116490,223116493,223116433,223116434,264852822,264852834,227358291,229083074,265075768,225386066,223116428,223116427,225386063,265075764,225386067,225386068,227358264,227358270,227358271,229083067,227358262,227358263,265075770,227358264,227358270,227358271,227358289,225386115,225386114,225386116,227358256,225386053,225386052,227358251,227358231,264607150,220488350,217397121,213688059,209166272,209166273,213688061,263687762,213688061,213688065,217397131,220488363,223116396,223116441,223116442,264852824,225386044,225386043,223116406,220488374,264332880,220488457,220488454,217397206,213688109,209166306,203657611,203657609,203657603,262893894,213688101,217397199,220488398,217397200,213688102,209166302,203657606,197068081,189353752,180437276,170295424,259611714,77142918,64012113,255234096,254433934,254199864,9045814,13257676,267856288,32924687,41854329,52178763,64012119,77142922,91047735,268460598,63917588,52098880,52098881,63917590,52147440,41829280,41829281,52147443,41884362,32949680,32949679,254887414,77193889,90909515,86631256,73030576,60293231,48898970,38978052,30391122,22988028,22988027,30391120,38978049,48898967,60293225,73030570,86631252,100597118,256065824,114639938,100602369,86635514,73034067,60296187,48901460,38980215,254286664,22989584,30392960,38980206,41781945,255212568,63913697,77025065,90904652,254624872,254624874,268125378,41828300,32903599,25192691,25192692,32903603,41807752,41807751,52123051,48901455,38980212,38980213,48901458,60296185,61510855,50032557,254882932,52146356,63970505,77089157,271023071,77070200,63955576,52134365,41818573,254887836,41826319,267805306,25188408,18628137,254882936,41821521,52137646,255635588,60293229,63967094,52143810,41826326,32902005,25191412,25191411,32902002,254625358,63967089,77084148,90970240,254882934,63943632,52123038,41807746,41807747,52123041,63943636,77057590,89429732,75666642,62720505,62720504,75666638,257700584,117658716,131463527,129723229,115824199,256057724,87805516,101777997,90925629,89461362,89461363,90925631,105106602,119282597,255610728,90979206,77090348,268125392,256065832,77029182,77111324,91006082,105203311,256580440,78461786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15774660, s2 = 8592834, dlinesl.size( ) = 20 s1 = 15222357, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15222357, s2 = 5581768, int(edited[s2]) = 0 s1 = 15222357, s2 = 5581768, d1 = 58, d2 = 57 Dl.O(d1) = 232892366,232892367,232892369 Dl.O(d2) = 202286655,202286657,202286656,202286657,202286654,202286653,208060149,208060150,274017401,212820255,216711840,219937709,222659637,224997251,227028255,228800045,230360698,231747581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15222357, s2 = 5581768, dlinesl.size( ) = 28 s1 = 13881214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13881214, s2 = 4965761, int(edited[s2]) = 0 s1 = 13881214, s2 = 4965761, d1 = 31, d2 = 16 Dl.O(d1) = 265103279,265484001,227512392,229219099,230727346,232071338,231041566,231041567,265803540,229219099,230727346,232071338,231041559,265829667,227942520,229583487,229219098,265935739,232071332,230727343 Dl.O(d2) = 205848264,199675922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13881214, s2 = 4965761, dlinesl.size( ) = 8 s1 = 13883152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13910086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12216571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12216571, s2 = 5649756, int(edited[s2]) = 0 s1 = 12216571, s2 = 5649756, d1 = 4, d2 = 0 Dl.O(d1) = 233275683 Dl.O(d2) = 230718474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12216571, s2 = 5649756, dlinesl.size( ) = 2 s1 = 12216571, s2 = 5649756, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12216571, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 8878900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9051491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9051491, s2 = 9576080, int(edited[s2]) = 0 s1 = 9051491, s2 = 9576080, d1 = 19, d2 = 106 Dl.O(d1) = 235098284 Dl.O(d2) = 226948313,224908983,265246155,216587389,212680027,264285683,187127472,177854809 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12222891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12222891, s2 = 11553386, int(edited[s2]) = 0 s1 = 12222891, s2 = 11553386, d1 = 11, d2 = 6 Dl.O(d1) = 239959735,239396814 Dl.O(d2) = 266657549,236589600,274693050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12222891, s2 = 11553386, dlinesl.size( ) = 12 s1 = 12471828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16331699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16254107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12224377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12225697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8976062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16356405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15044690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15044690, s2 = 7509945, int(edited[s2]) = 0 s1 = 15044690, s2 = 7509945, d1 = 35, d2 = 42 Dl.O(d1) = 267094485 Dl.O(d2) = 267349317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15044690, s2 = 7509945, dlinesl.size( ) = 26 s1 = 10362729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10362729, s2 = 11204087, int(edited[s2]) = 0 s1 = 10362729, s2 = 11204087, d1 = 106, d2 = 79 Dl.O(d1) = 267563696,246436522,267536620,246165839 Dl.O(d2) = 35244386,27146977,255338423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10362729, s2 = 11204087, dlinesl.size( ) = 42 s1 = 12473210, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13959287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9019846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9019846, s2 = 7103149, int(edited[s2]) = 0 s1 = 9019846, s2 = 7103149, d1 = 4, d2 = 16 Dl.O(d1) = 248016421,248016419,248016415,248016413,248016409,248016407,248016403,248016402,248016406 Dl.O(d2) = 274549066,232927728,265687690,228719258,228719257,230284955,231676662,230284929,230284930,231676653,231676657,230284925,230284926,274398626,228719251,230284950,231676682,231676678,231676676,232927718,234061023,234061014,265834116,231676660,231676688,232927696,231676649,230284942,228719248,265158628,224899460,226940131,228719257,265687688,230284917,230284918,231676648,232927694,233562039,233562036,232382707,231078358,231078360,232382710,232927714,234061018,232927712,231676670,230284939,228719247,228719246,230284937,231676668,232382694,231676684,231676685,231078369,229624637,227988791,265687682,230284951,231078328,232382697,231676677,231676676,232927718,234061023,234061014,265834116,231676660,265528348,226940133,264945562,219812860,216570586,212660213,207876304,263471382,262623796,261616556,155685493,143131626,259263908,101853276,87880175,74277994,61501341,50023442,40005013 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9019846, s2 = 7103149, dlinesl.size( ) = 2 s1 = 9019846, s2 = 7103149, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 9019846, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 14995340, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12474300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14181122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181122, s2 = 15318571, int(edited[s2]) = 0 s1 = 14181122, s2 = 15318571, d1 = 26, d2 = 33 Dl.O(d1) = 255451892,99780548,113794536,127662559 Dl.O(d2) = 270005774,112767583,98777762,84851020,255680030,37252403,28721524,28721523,33973935,26684260,19865793,19865794,15648716,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14245094,9792466,7072682,7072680,10705457,11024008,11957499,17044940,23305978,30723588 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181122, s2 = 15318571, dlinesl.size( ) = 34 s1 = 14149411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12034130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11502489, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10400145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10404622, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10404622, s2 = 14100342, int(edited[s2]) = 0 s1 = 10404622, s2 = 14100342, d1 = 37, d2 = 17 Dl.O(d1) = 3389543,254411581,5487856,3378578,1988994,1988993,3378577,5487855,5496919,3399490,2004156,1145620,642640,356687,195428,195429,356503,195335,106668,106669,195250,106629,106627,106649,106651,195299,254106991,1144875,2002833,2011944,3409752,3396470,3396456,2021304,1156629,1156625,1176619,660489,660485,637390,353984,194105,194103,353972,637354,1135984,1988231,3377578,3423100,3395277,3395273,254607289 Dl.O(d2) = 102167391 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10404622, s2 = 14100342, dlinesl.size( ) = 24 s1 = 12235137, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11373277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373277, s2 = 11790672, int(edited[s2]) = 0 s1 = 11373277, s2 = 11790672, d1 = 11, d2 = 7 Dl.O(d1) = 150626472,138690575,261595769,163284956 Dl.O(d2) = 264737512,123951102,137630007,138690575,260462533 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373277, s2 = 11790672, dlinesl.size( ) = 2 s1 = 11373277, s2 = 11790672, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11373277, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 16284480, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12474532, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11562697, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11396315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396315, s2 = 11064976, int(edited[s2]) = 0 s1 = 11396315, s2 = 11064976, d1 = 13, d2 = 19 Dl.O(d1) = 164119512,164119513,174940650,184547011,192936306 Dl.O(d2) = 257058332,268992846,36844752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396315, s2 = 11064976, dlinesl.size( ) = 16 s1 = 11591051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591051, s2 = 11627714, int(edited[s2]) = 0 s1 = 11591051, s2 = 11627714, d1 = 39, d2 = 13 Dl.O(d1) = 267112651,242835678,267211819 Dl.O(d2) = 244808458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591051, s2 = 11627714, dlinesl.size( ) = 34 s1 = 11146639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146639, s2 = 10470572, int(edited[s2]) = 0 s1 = 11146639, s2 = 10470572, d1 = 20, d2 = 22 Dl.O(d1) = 47898652,37981547 Dl.O(d2) = 255075244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146639, s2 = 10470572, dlinesl.size( ) = 26 s1 = 16292897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11200887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10489505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10489505, s2 = 13994041, int(edited[s2]) = 0 s1 = 10489505, s2 = 13994041, d1 = 26, d2 = 25 Dl.O(d1) = 9705733,6384179,4005881,2400653,1389154,789996,789997,1389158,2400664,254311973,6203774,3945873,2362505,1368020,779085,771652,438370,438368,441964,771652,438370 Dl.O(d2) = 42897221,42897220,53363254,63517624,51739902,41471181,32594194,24932537,24932539,32594199,41471190,44627230,55477125,50994281,40860562,40860561,44626903,35243394,31764445,24252657,24252658,31764450,40458880,35243585,27146403,27146402,35243580,44626992,35243469,27146323,20237088,14521587,9992067,6567056,6567048,6567046,9992045,9992100,14521647,20237197,27146530,35243774,40860232,32089487,24515891,24515889,32089483,40860223,50994023,44627026,35243492,35243491,44627023 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10489505, s2 = 13994041, dlinesl.size( ) = 2 s1 = 10489505, s2 = 13994041, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10489505, Dl.E( ) = 32, 1.62e-05 seconds used appending s1 = 14135418, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14043979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14043979, s2 = 11335092, int(edited[s2]) = 0 s1 = 14043979, s2 = 11335092, d1 = 24, d2 = 22 Dl.O(d1) = 255116716,29248596,37813376,30232126,22839624,16617657,16617658 Dl.O(d2) = 260039651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14043979, s2 = 11335092, dlinesl.size( ) = 26 s1 = 11438421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438421, s2 = 15290722, int(edited[s2]) = 0 s1 = 11438421, s2 = 15290722, d1 = 41, d2 = 0 Dl.O(d1) = 262748647,261759873,114405511,260636843,114405512,114405506,114405505,260036763 Dl.O(d2) = 60094800,48698754,38776481,255938767,22802377,16591326,16589337,11569077,11569075,16589335,21207349,28431271,36929933,29826866,22459523,16291618,11334716,7532111,4764681,4764680,7532109,11334713,16291612,15730572,10893926,10893928,15730574,15730586,10893936,7204662,4539055,4539056,2728256,2728255,254511343,4764781,2872319,1667005,1667006,254357577,4072869,6499872,9891629,9881178,9881177,11569990,7701197,7701176,7701181,10887516,10887515,10881094,7194085,4532179,4532177,7193307,8174365,5243903,5243904,7194039,4532157,2724306,1578651,1578650,2724301,4532142,4519776,4519779,2728425,2728423,3003126,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9888606,7200772,7200770,4539655,4539654,7205521,10894909,14371113,9877090,9877091,8309153,5361430,5361431,8309154,12302229,17451606,21778993,15719963,10883216,10883219,15719969,11841583,7913805,5030827,5030825,7913802,9890424,10894545,10894546,14390412,9896370,6503714,4075407,4075408,6503718,7198240,7198242,10885941,11732556,8309567,8309568,10892132,9866423,9866421,7977033,5076385,3078447,1796273,254253957,5076372,7977019,11922883,255790355,14997209,13319838,13319837,13287328,9070394,9070393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438421, s2 = 15290722, dlinesl.size( ) = 48 s1 = 10985499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985499, s2 = 11074898, int(edited[s2]) = 0 s1 = 10985499, s2 = 11074898, d1 = 32, d2 = 45 Dl.O(d1) = 254823707,17082933,23350245 Dl.O(d2) = 98878023,271373704,73559906,60813496,49413300,256489253,23447474,23447473,30877966,36716680,255657464,21028011,17171831,12073850,8118986,8118985,12073846,17171822,23447471,30877964,36716208,36716210,256419127,22592338,22592337,29956716,29957008,22592520,22592518,29957001,36716792,28223711,26618731,26618730,31553576,24049590,24049588,28237410,21039201,21039200,28237404,26149518,19451425,19451424,26149511,33990473,28770441,28770440,37303646,254574704,16711079,16711078,22947584,26339559,26339558,22453553,22453552,26339555,34213164,29956763,29956762,34211348,43309623,39336953,30738239,30738240,26337700,19609299,14051248,14051249,19609303,26337707,34211352,43309626,48486769,38573575,30002893,22633183,16445750,11458502,11458503,16445752,22633186,25845402,21508441,15499679,10719090,7081857,7081856,10719089,15499675,21508433,28769209,24049419,24049417,31553334,26340985,26340987,26149561,21317603,15346612,15346614,21317611,27964013,20801777,20801778,26341499,26341500,34215172,255706134,47209240,255297376,21508340,15499614,10719057,7081840,254226532,2678533,1551518,882074,497746,497747,882077,1551524,2678545,4458727,7081887,254310980,10719111,15499731,21508533,19609065,14051085,14051084,19609062,26337406,21508638,21508640,28769500,31281580,23795455,23795456,31281588,39956490,49973150,43312925,34214991,34214992,33649281,25845424,19190925,19190926,17086563,17086565,23354403,26337803,24636260,18180665,12893626,12893627,18180669,24636264,19609349,14051283,9661952,9661951,12893640,8769695,8769694,12893638,18180689,24636285,26124924,33963064,255305362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985499, s2 = 11074898, dlinesl.size( ) = 20 s1 = 12236365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12236365, s2 = 10569295, int(edited[s2]) = 0 s1 = 12236365, s2 = 10569295, d1 = 14, d2 = 8 Dl.O(d1) = 263168326,186132000,273131966 Dl.O(d2) = 186132000,176719957,174149424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12236365, s2 = 10569295, dlinesl.size( ) = 2 s1 = 12236365, s2 = 10569295, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12236365, Dl.E( ) = 18, 5.96e-06 seconds used appending s1 = 11439439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12236431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338825, s2 = 10589823, int(edited[s2]) = 0 s1 = 11338825, s2 = 10589823, d1 = 14, d2 = 19 Dl.O(d1) = 262337363,177771771,187045542,273744299,212631072,216545259,216545255 Dl.O(d2) = 264812431,263978036,207841853,207929808,264817923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338825, s2 = 10589823, dlinesl.size( ) = 18 s1 = 11197279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12039337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12475010, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10604656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10604656, s2 = 11112776, int(edited[s2]) = 0 s1 = 10604656, s2 = 11112776, d1 = 6, d2 = 9 Dl.O(d1) = 113350203 Dl.O(d2) = 115940499,101894326,87920337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10604656, s2 = 11112776, dlinesl.size( ) = 20 s1 = 12236791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14086205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14086205, s2 = 14167463, int(edited[s2]) = 0 s1 = 14086205, s2 = 14167463, d1 = 8, d2 = 58 Dl.O(d1) = 77605226,91535173,260278669,105757575 Dl.O(d2) = 271542957,262475877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14086205, s2 = 14167463, dlinesl.size( ) = 70 s1 = 14000545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11365101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365101, s2 = 16346979, int(edited[s2]) = 0 s1 = 11365101, s2 = 16346979, d1 = 10, d2 = 36 Dl.O(d1) = 144420659 Dl.O(d2) = 131189989,117386802,117386801,131189994,131189990,131189989,131189995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11578555, s2 = 14148178, int(edited[s2]) = 0 s1 = 11578555, s2 = 14148178, d1 = 1, d2 = 47 Dl.O(d1) = 236279835,237109364,237174177 Dl.O(d2) = 235444856,234454903,266185917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11578555, s2 = 14148178, dlinesl.size( ) = 52 s1 = 14001877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12237117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11122799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122799, s2 = 11182802, int(edited[s2]) = 0 s1 = 11122799, s2 = 11182802, d1 = 27, d2 = 29 Dl.O(d1) = 257867008,5333473,5333472,8266203,12240670,255310248,16959322,11871396,11871398,12676839,12676838,11694448,8509241,5509722,3398137,3398136,5509716,5548975,3434527,2031604,2031605,3434530,5548980,7799472,5548970,3434526,2031601,1163560,652959,652958,1163557,2031597,3434519,5548961,8550454,9553779,6268850,255297387 Dl.O(d2) = 268781379,259784599,259406700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122799, s2 = 11182802, dlinesl.size( ) = 36 s1 = 11594621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594621, s2 = 3535592, int(edited[s2]) = 0 s1 = 11594621, s2 = 3535592, d1 = 48, d2 = 14 Dl.O(d1) = 239277011,239850462 Dl.O(d2) = 118034139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594621, s2 = 3535592, dlinesl.size( ) = 32 s1 = 11151395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151395, s2 = 11458588, int(edited[s2]) = 0 s1 = 11151395, s2 = 11458588, d1 = 25, d2 = 44 Dl.O(d1) = 48820867,38898885,258182501,86556748,100518606,114549226,128433158 Dl.O(d2) = 141786659,128433129,114549211,114549210,261222605,141786688,154434134,166170309,176790915,166170299,261769235,128433140,114549220,100518603,86556746,86556744,100518594,114549210,261222607,154434086,166170257,166170308,166170309,176790923,176790924,166170311,166170310,176790869,186187131,263190007,154434119,154434120,166170294,176790906,186187132,186187135,264247053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151395, s2 = 11458588, dlinesl.size( ) = 8 s1 = 12237437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11058249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058249, s2 = 11356402, int(edited[s2]) = 0 s1 = 11058249, s2 = 11356402, d1 = 38, d2 = 47 Dl.O(d1) = 254764752,7351836,4643880,2797284,254522947,11086188,15971351 Dl.O(d2) = 261157581,259362578,270834943,258113950,59286366,47890049,268631398,37971747,47890051,59286370,72023094,270834945,113578664,127455011,140815489,153496734,262702430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297761, s2 = 11322888, int(edited[s2]) = 0 s1 = 11297761, s2 = 11322888, d1 = 6, d2 = 11 Dl.O(d1) = 123766862,137491571,150522375,259109042 Dl.O(d2) = 199366201,192006438,192006437,199366200,199366199,199366200,199366202,192006438,259740074,150522376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297761, s2 = 11322888, dlinesl.size( ) = 14 s1 = 14070881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11051569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051569, s2 = 11113604, int(edited[s2]) = 0 s1 = 11051569, s2 = 11113604, d1 = 9, d2 = 11 Dl.O(d1) = 254849610,23568550,31052563,32131950,257496988 Dl.O(d2) = 85545676,99492561,85545677,71957823,267971208,37899340,29330802,29330801,37899339,47821193,40168605,31483677,23986659,23986656,28244688,21045250,21045248,28244680,33378703,40156867,31472650,23976532,17628978,12449932,254860006,23976515,28244422,28244423,36739766,255871150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051569, s2 = 11113604, dlinesl.size( ) = 12 s1 = 11063317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063317, s2 = 11371188, int(edited[s2]) = 0 s1 = 11063317, s2 = 11371188, d1 = 26, d2 = 29 Dl.O(d1) = 257023791,258834769,101026912,115101000,129029654 Dl.O(d2) = 101026910,101026909,261795215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063317, s2 = 11371188, dlinesl.size( ) = 30 s1 = 11380369, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13245583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13245583, s2 = 16360001, int(edited[s2]) = 0 s1 = 13245583, s2 = 16360001, d1 = 40, d2 = 17 Dl.O(d1) = 5150272,3134666,3134665,5139011,5173426,3158030,1848503,1054919,1054920,1848508,3136649,5152601,5175041,5152613,5152609,5163611,3146528,3146530,2867931,1664505,946966,946965,1664500,2867922,3119248,1823057,1040636,1035622,1035626,1813582,3103837,5111441,5173275,5173274,5136579,3123370,2870605,1665990,1665993,1821451,3116749,3133267,1831784,1045409,1045407,1831779,3133257,3125541,1827054,1827055,3125548,3114274,1829210,1828929,1814587,1036166,1036165,1814523,1036140,1036142,1814530,3102311,254567277,8031632,254821493,5101360,3096889,3096890,5101913,8013420,11969727,12003851,8163957,5233897,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792795,4941370,2981847,2981848,4941378,7793297,8077900,11686323,11686393,11686471,16729098,17070558,17070559,20031084,254805156,22966105,22969038,267793030,9857656,9857657,11686819,7793527,4941566,2981956,1730994,1730993,1731004,1731006,2981973,2979660,1729636,983272,553564,553565,983277,1729655,2979695,2979593,2979591,4937850,6475681,6475679,6862108,10410049,11690954,11679920,7788295,4937900,4937901,7788302,11679934,16721526,16717623,15982162,11687051,11687050,9858613,7750798,7750797,11634564,14348690,16716577,11685860,11685859,16715598,22453487,16284296,16284294,22453485,22478976,22898066,22101765,16667489,16667490,22897856,22088787,15982266,15982265,11996249,8048353,5138570,5138571,254247296,16729366,11686766,7793501,4941516,4941517,7793502,11686768,11995289,11995288,16308138,14348196,9858258,6475785,6475784,7750046,7750045,11633377,11842600,11690884,11690883,16733623,22950751,16713913,11672140,7781192,7781193,11672226,16668237,11633927,7750387,7750388,9206434,254445621,3770720,6027314,9206431,11675320,7784201,7784200,11675318,16716617,22953286,30355110,30755014,23332430,17065859,11975275,11975276,17065861,23332433,30297237,22898861,22898859,30297235,30371038,30369460,22967987,22967988,28996856,28996857,30761613,23338736,23338734,29675282,30672455,23266364,17002546,17002545,23266362,30683198,30787621,30367262,23270618,17007714,16961543,16961541,23234072,22378080,254562844,268945325,254102984,16993196,11907537,267753848,5066978,7964592,7964800,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327188,12133927,11917856,8164087,8164090,11903597,7961393,5064390,3068681,1788965,1788966,3068685,5043536,5043537,7678798,4858800,4858802,7678808,11542092,10434100,6878722,6878724,7961436,7932631,7932630,11530452,11530451,11950548,7999594,5092437,3090379,1805074,1805073,1801132,1801130,3085312,3085311,5085911,7990587,11939324,11973843,8019298,5107973,3101288,3101289,5107978,8019332,11973892,10772384,7117661,4481405,2692581,2692580,4481403,255414363,28875734,37417337 Dl.O(d2) = 105738253,91514316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562583, s2 = 15156369, int(edited[s2]) = 0 s1 = 11562583, s2 = 15156369, d1 = 11, d2 = 24 Dl.O(d1) = 266372316,228376355,265564533,224453405 Dl.O(d2) = 232678028,274666433,229980060,228376352,226549831,265391395,215899599,264992148,263154493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562583, s2 = 15156369, dlinesl.size( ) = 14 s1 = 14882299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14882299, s2 = 11295218, int(edited[s2]) = 0 s1 = 14882299, s2 = 11295218, d1 = 6, d2 = 9 Dl.O(d1) = 255242083,5860860,3889442,2328759,1349772,770046,770045,779084,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771921,438483,438486,441885,778885,254210621,3945059,6297493,9592476,13969558,255299889,254460099,3945051,3989117,2390681,1383815,1383812,2377537,1376176,1376178,1383781,2377539 Dl.O(d2) = 1383780,1374095,1374091,1376100,2377308,3962350,3962348,6320638,9621225,13969485,255299887,256697893,34141229,26274501,19553605,14003067,9626793,6325218,3965819,3965820,2390723,1383826,1383830,2377537,1376190,1376187,2377578,2390473,3885949,3988089,3988084,254676777,268163337,26274432,19553521,256182059,43229683,259102377 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14882299, s2 = 11295218, dlinesl.size( ) = 10 s1 = 11033521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033521, s2 = 11218798, int(edited[s2]) = 0 s1 = 11033521, s2 = 11218798, d1 = 17, d2 = 19 Dl.O(d1) = 15358375,15358376,21330875,28556433,35339116,35339115,44765461,47640156,46479543,36613259,28139657,268124899,5672429,3528280,2099826,2099828,2099814,1208946,1208945,2099800,2099799,2906209,2906207,4402927,2639003,2639002,4402924,7004726,9133719,13364752,18768408,25350151,32502013,28557734,28557733,26147712,21383040,21338134,15364292,254836934,28565096,25837022,25837021,31849850,29295168,21968457,21968456,18307083,12995184,12995182,18307078,24789833,254690864,51439890 Dl.O(d2) = 52400225,52400220,52400221,64255653,258279330,259152022,133612432,259152024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033521, s2 = 11218798, dlinesl.size( ) = 20 s1 = 11501687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501687, s2 = 10901471, int(edited[s2]) = 0 s1 = 11501687, s2 = 10901471, d1 = 15, d2 = 0 Dl.O(d1) = 218631133,264972187,273983019,206562719 Dl.O(d2) = 175514768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501687, s2 = 10901471, dlinesl.size( ) = 18 s1 = 15294609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15294609, s2 = 11656744, int(edited[s2]) = 0 s1 = 15294609, s2 = 11656744, d1 = 30, d2 = 15 Dl.O(d1) = 16873576,16873577,254818204,18876973,23918810,25948534,23564114,17253016,17253017,23564123,31048339,37898493,31048552,23564331,17253186,268097182,31048548,39727410,49746655,61226088,74006994,87611199,101578258,115618461,126544993 Dl.O(d2) = 126544994,126544995,270814926,115618465,115618466,112682111,98687366,257455028,258690296,87611192,87611195,74006990,61226086,49746653,49746652,61226084,74006986,87611191,101578245,115618480,257455026,98687365,112682106,126544991,129503333,129503330,115618470,101578239,101578238,115618468,129503325,142820354,139908537,126545002,257455030,84759922,255842188,47091724,254737658,7296876,7296877,11021423,15898358,17520798,12355330,12355331,15378966,15378967,21356093,28586828,37092958,46976154,58345427,71061741,62651730,51025504,51025503,58345423,58345424,48691207,38769230,30185394,22795601,16578898,11559420,7692623,4868128,2933497,1701367,967187,544841,305231,305230,544759,957111,539370,539368,957082,957083,1683117,2901190,4814097,7609501,11443117,255482973,29978905,256964194,48674074,60070351,72807924,86403302,100359595,101549077,87586438,255760178,61206554,49727852,49727853,49817501,61297308,270377597,72698031,86295690,100258488,100258479,86295677,72698009,59960176,48568101,48568100,59960175,72698008,86295675,95610501,95610502,100258465,114288831,122959142,108693739,94406617,94406616,100258458,257511850,59960149,59960148,72697980,86295647,100258452,114288820,128172393,141530672,154194231,262228624,261974584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15294609, s2 = 11656744, dlinesl.size( ) = 28 s1 = 14014139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11295741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295741, s2 = 9237403, int(edited[s2]) = 0 s1 = 11295741, s2 = 9237403, d1 = 43, d2 = 33 Dl.O(d1) = 257808938,91226319,260523657,270557990,71126550 Dl.O(d2) = 162171751,173266205,183113276,191719855,263650890,263268032,167848625,261868798,130407761,116568245,260159739 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295741, s2 = 9237403, dlinesl.size( ) = 10 s1 = 10926296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10926296, s2 = 11051746, int(edited[s2]) = 0 s1 = 10926296, s2 = 11051746, d1 = 18, d2 = 26 Dl.O(d1) = 201018407 Dl.O(d2) = 264506835,201018408,193953760,273443914,262465624,48202060,48202059,58894684,58894685,71614407,72224199,258654926,70449180,257928360,256234562,18841139,18841138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10926296, s2 = 11051746, dlinesl.size( ) = 36 s1 = 15420772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15420772, s2 = 14294369, int(edited[s2]) = 0 s1 = 15420772, s2 = 14294369, d1 = 7, d2 = 7 Dl.O(d1) = 27181,48634,88423,160741,290419,517692,917728,1613325,2781244,4618890,7313566,4616562,4616560,7313560,7314235,10910014,7215365,4616659,4616658,5249951,8180343,8198932,255068241,8225508,5295985,5295986,5297499,3248342,3248345,5234884,3195218,3195216,5234878,3222588,3217517,3217516,5262297,3260720,254393389,1891960,1875819,1875820,3203440,5244922,4607244,2773181,1608483,1608482,2773180,4607243,6978525,4384518,4384517,6978522,10578919,7312334,7312333,5248655,5246982,3205068,3205069,5246985,4792106,2888574,2888577,4792103,5235879,7827709,11725220,16375889,16274307,16274306,22442760,256311661,256955806,30415824,23594044,23594041,23594042,23594043,31077344,33982336,26142584,19445444,13914947,13914949,11124153,11124157,255450987,256381498,16021687,16021686,22138603,24976813,32648443,41536044,47951669,257029163,30811601,23382991,23382990,30811597,39416756,49346259,43932174,34658926,26666929,26666928,19854265,19854264,26670884,268813647,257609920,43932199,54674612,54674602,43932190,34658938,26666937,26666936,34658935,43932184,257384331,36439006,27979906,20816012,14919446,14919445,20816010,27979903,27979914,20816017,20816016,27979912,36439007,36438996,27979920,20816020,14919451,10259105,10259104,14919453,20815999,14919437,10259091,6741521,4224368,4224367,6741518,254996405,14919439,14919438,10259103,6741532,4224375,4224376,6741534,254703907,254703909,14919441,254703905,4224370,2525937,1455747,1455748,2525939,4224374,6741530,255782641,14919459,254703911,4224380,2525942,1455752,824267,465482,465481,254217577,824251,824252,1455733,254321127,6741467,6738629,267956089,14914141,254703901,4224333,4224332,4224387,267877449,14919474,14919328,255357643,27979756,27979954,27979798,255357651,14919360,20815903,27979796,27979953,268598013,46292152,46291985,256268995,27979795,36438891,257384313,70327014,71004661 Dl.O(d2) = 27181,48634,88423,160741,290419,517692,917728,1613325,2781244,4618890,7313566,4616562,4616560,7313560,7314235,10910014,7215365,4616659,4616658,5249951,8180343,8198932,255068241,8225508,5295985,5295986,5297499,3248342,3248345,5234884,3195218,3195216,5234878,3222588,3217517,3217516,5262297,3260720,254393389,1891960,1875819,1875820,3203440,5244922,4607244,2773181,1608483,1608482,2773180,4607243,6978525,4384518,4384517,6978522,10578919,7312334,7312333,5248655,5246982,3205068,3205069,5246985,4792106,2888574,2888577,4792103,5235879,7827709,11725220,16375889,16274307,16274306,22442760,256311661,256955806,30415824,23594044,23594041,23594042,23594043,31077344,33982336,26142584,19445444,13914947,13914949,11124153,11124157,255450987,256381498,16021687,16021686,22138603,24976813,32648443,41536044,47951669,257029163,30811601,23382991,23382990,30811597,39416756,49346259,43932174,34658926,26666929,26666928,19854265,19854264,26670884,268813647,257609920,43932199,54674612,54674602,43932190,34658938,26666937,26666936,34658935,43932184,257384331,36439006,27979906,20816012,14919446,14919445,20816010,27979903,27979914,20816017,20816016,27979912,36439007,36438996,27979920,20816020,14919451,10259105,10259104,14919453,20815999,14919437,10259091,6741521,4224368,4224367,6741518,254996405,14919439,14919438,10259103,6741532,4224375,4224376,6741534,254703907,254703909,14919441,254703905,4224370,2525937,1455747,1455748,2525939,4224374,6741530,255782641,14919459,254703911,4224380,2525942,1455752,824267,465482,465481,254217577,824251,824252,1455733,254321127,6741467,6738629,267956089,14914141,254703901,4224333,4224332,4224387,267877449,14919474,14919328,255357643,27979756,27979954,27979798,255357651,14919360,20815903,27979796,27979953,268598013,46292152,46291985,256268995,27979795,36438891,257384313,70327014,71004661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15420772, s2 = 14294369, dlinesl.size( ) = 2 s1 = 15420772, s2 = 14294369, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15420772, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14294370, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14273234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14273234, s2 = 322677, int(edited[s2]) = 0 s1 = 14273234, s2 = 322677, d1 = 24, d2 = 21 Dl.O(d1) = 5959642,3726995,2231445,1294093,738630,738627,1294081,254297337,5959549,254133608,12175410,13330818,9108547,5959923,5959920,9108538,13330800 Dl.O(d2) = 12009943,8067318,8067317,12009941,14953554,16373255,16373256,17103014,23371843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14273234, s2 = 322677, dlinesl.size( ) = 2 s1 = 14273234, s2 = 322677, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14273234, Dl.E( ) = 54, 2.88e-05 seconds used appending s1 = 11187401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12239367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12239367, s2 = 10738506, int(edited[s2]) = 0 s1 = 12239367, s2 = 10738506, d1 = 1, d2 = 1 Dl.O(d1) = 321907,575158,1020718,1789947,3054185,2715178,2715179,254508775,3086264,2714950,1792103,1024259,1024263,1792140,1024464,577284,322987,322988,321357,321358,573954,574007,321378,321381,322774,178397,98190,98189,178391,322755,576822,1023687,1031156,1031157,1805699,254380037,3066589,3066588,5061590,5072619,3075729,1794484,1027932,579182,579181,1027929,1801081,3063380,3055930,3055931,1787050,1787049,3065575,3065576,254563011,11896478,7994596,5089113,3088099,3088101,5089115,7994601,11882283,16970115,11910869,11212027,9167966,6000469,5069806,5069809,7936843,7936844,11873382,11908544,7965446,7965447,8000299,5092945,3090826,1805483,1805484,3060010,1783867,1017362,573429,321101,177609,97827,97826,177605,321091,573407,1017323,1783797,3059858,5050278,7940980,254824796,7962047,7957966,5061707,5061705,7947773,5054381,5054379,5053512,3061521,1784610,1017691,573589,573590,1017698,1784629,3061556,5053577,7946403,5078775,5078774,7941032,7941033,11878685,7945252,7945251,11884379,16140892,16719677,11677863,11677861,11879005,254381022,7942727,7980479,7980480,11926780,254570202,23243881,16976930,11889950,11889949,16960369,11872274,7935893,5046405,5046404,7935889,11872270,16960363,11896687,7955409,7955410,7791628,7791625,11684493,16727216,16996228,17014864,23274761,29457975,22123815,16009720,11115102,7372053,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878773,8991723,7960006,7960008,7937091,7937090,7953999,254357290,11932899,17017022,23275709,17082685,11994937,10840120,7166241,267838836,254178070,7166238,10840114,15659014,16977051,23243934,17033482,17015029,17015030,23244660,16978095,11931554,11931553,17016019,17010356,11924266,11924267,11947339,7997184,7997048,7997047,11947187,16965236,16965237,18561909,18561912,13409770,9168262,9168261,7997589,7997590,8991920,11919689,11947707,10878828,7192395,7192394,10878823,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997512,7959930,5063297,5063296,5091409,3089782,3089781,5091404,7956052,267987729,7955851,7955852,11897185,11874792,11874791,16962911,11891223,7950978,7950976,11891215,254822994,23244344,23249872,23297789,267990152,8000380,8000381,11925781,17011558,254384612,17015560,16972684,11885157,11885156,16972682,23241331,30660139,23275440,23240855,23240856,17013409,17013408,23273765,17012811,11927280,11927279,17012808,22966447,21466218,15465285,15465286,21466219,17033487,11948281,11948280,17033485,267838786,11880648,7942415,254258140,11895070,16981510,23246801,16981251,11894751,11894750,11676882,7785524,4935549,4935552,7785538,7933259,5043975,5043974,7933256,7984212,5081511,3081992,1798587,1026269,1026270,578284,578283,1026376,1798817,3082463,5082359,7985654,11932902,17017025,254822880,7943486,5051747,3060604,1784162,1017496,1017495,1784159,3060599,5051733,5073718,5073719,5073837,7973465,7973549,7973574,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,8039380,11212684,254389782,7963496,5066092,255972107,39265635,31509260,27123754,20219780,14509338,14509339,20219763,27123728,35216528,256677254,43069195,42614723,33590697,31269872,28441133,21215634,21215635,268609049,29876144,29876146,26009515,19335557,13827033,13827034,19335560,26009519,28341337,28341336,36838115,39725156,39725155,254889530,42021848,44598255,35217426,35217425,42023033,42023034,52361565,256988670,50208115,40186026,31500848,24002524,17657693,17657694,24002527,31500854,255586858,58117291,48433286,256535109,31511987,256670132,61701612,52361537,52361536,62030414,50538866,40503690,31808316,31808315,40503688,50538864,62030413,50538868,40503691,268437282,39265890,30670081,25348186,18766710,13363418,13363416,18766687,18766715,18766713,25348190,21129128,15180555,10470974,10470975,15180561,21129145,28341316,29829397,29829395,28885158,21609252,21609254,28885166,33078863,29167513,21858320,15786182,255088872,2743229,4561636,5287004,6878057,10432934,15126010,10715609,7079346,7079347,10715614,12186633,15786200,10936289,10936288,12365855,12365854,17532664,15781468,15781467,15084409,15084408,20117370,14427154,14427155,20117373,27008905,28091422,25738492,19105422,19105424,17906816,17906817,22120694,16195737,16195739,17906805,17906807,17906827,22121305,17310966,17310967,21000128,21000115,21000114,21000227,15084466,10404375,10404373,8217040,5286988,3238874,3238877,5286996,8217059,7079359,4457092,4457093,7079363,10715642,12365849,8355776,5393332,5393334,8355782,10404350,10404348,15084419,10966663,10966660,15825309,20117365,19105406,13640965,9341076,6118569,6118571,9341083,13640977,19105428,16006907,11113177,11113176,16007022,11112840,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532672,15825319,10966667,10966669,15825330,12509991,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370410,11112877,11112997,7370492,7370490,254565946,4656165,2805049,2805047,4656161,7370437,11112923,255450003,16006958,11112782,7370358,4656121,4656122,7370361,11112784,16006959,16007259,11113050,7370538,254523114,2805090,4656227,2805135,2805131,4656317,2805214,2805218,4656483,7371016,7370430,4656156,2805044,2805043,1627332,925362,521617,292374,161728,161729,292380,521626,925389,1627368,2805281,4656617,7370756,4656563,4656565,4656281,4656282,7370650,11113139,11112795,11112794,11113134,7371068,7371069,11113737,16008035,11113714,7371060,7371061,11113719,11113653,11113652,15979781,16008022,16008186,16008204,11113867,7371156,7370990,4656462,2805210,2805211,4656466,7371001,4656502,2805233,2805234,4656506,7371046,11113697,11113955,16008324,22121906,22121907,29455922,29455926,38018025,38017921,29455947,22121934,22121933,29455946,256031810,22122094,29455927,256382509,257083101,31521094,31521093,31521090,255578437,254862945,5469954,5469951,8464170,12495896,17670749,24019719,31521051,38018274,47932144,59323999,47931955,38017979,29456221,22122208,22122209,29456226,38018268,42321917,39886185,31206993,31206995,23720155,17898105,17898106,24278556,31792292,40487367,256537798,25581653,18973803,18973802,22121972,16008240,16008239,22121968,25581627,25581628,25581637,25581636,22813331,22813330,24019757,24019758,31521089,30204870,22813357,22813358,30204873,25581543,18973719,18973721,25581548,25581600,25581601,33340944,38017995,29802618,29802620,29455866,29455867,38017974,38030656,29468134,29468135,38030657,47944504,59336324,48325028,38415234,29845291,29845290,38415232,33340986,33340985,29455976,22121963,16008232,11113885,7371174,7371175,11113890,16008243,13538684,13538683,18973790,25581634,30204824,22813335,22813336,30204828,30204893,22813372,16595162,16595163,22813375,30204897,29455980,22813313,16595130,11573980,268093575,22813316,28258777,28258778,36753790,46639922,37777497,37777496,29468139,22132871,22132872,29468144,38030669,42321880,33340989,33340990,42321881,48711505,48711504,59324029,47932015,47931580,38017409,29455171,22121103,16007359,255450017,29455167,33341053,33341052,42321925,52709174,255580102,48711765,48711352,38789295,38789294,48711463,47697919,255580098,30684038,29456059,22122051,22122050,29456057,38018132,33143975,25403874,18814184,13403301,13403302,18814187,25403878,33143980,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010916,31511094,40197033,40197042,50219179,47932051,39473626,37740874,29180053,29180052,37740870,36561464,36561463,46425667,49840697,40197095,31511183,31511184,37631136,47536785,48064031,38151233,38151232,48064027,40425526,40425527,38790245,38790246,38180999,29613922,22263003,22263001,17664010,12490905,8460117,5466350,3361355,3361354,5466345,8460099,12490881,17663959,24010941,31511057,24010885,24010886,24010908,31511080,29456156,22122144,22122143,29456150,29675114,37028921,30205965,22814326,16595866,16595864,22814320,20917332,20917333,28091467,36561477,29912872,22555593,22555592,29912867,38470917,38790137,30205386,30205385,31511049,31511050,38790237,30205515,30205516,30206635,22814922,16596354,16596356,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010933,31511125,254818442,20288101,22814339,16595875,11574454,7704214,4875902,4875903,7704210,11574446,16595854,22814303,256439499,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,22813846,22813845,268649295,48712168,58659462,58659463,269340551,29675136,29675137,22813714,22813715,22813763,22119381,16005908,11112060,11112059,16005901,22119377,28258766,21057670,21057671,28258772,36753784,38240024,30205404,22813792,16595436,11574165,7704036,7704037,11574168,16595449,22813804,22324578,16931862,16595582,11574260,11574259,11574155,7704031,7704030,11574153,11574147,7704027,4875797,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,21057681,16850264,15125798,10432807,7704432,7704431,11574706,11574705,16596224,22814768,28258902,28258813,21057710,15125832,15125833,21057713,22324836,16596342,16596344,20917107,15011058,10340549,10340548,15011052,16179244,16179243,20917270,15011171,11574800,11574799,16179466,11574311,7704124,7704123,8608312,5594036,3470602,3470600,5594030,8608299,8608342,8608343,11784185,7868314,7868313,11784180,16850288,16596388,11574826,7704441,4876026,4876025,7704437,10896584,7704305,7704306,11574606,16596097,21057808,15125932,15125838,10432825,10432826,15125845,21057722,16596347,15126058,10432968,6878083,4317506,4317505,6807418,4269524,2552656,1470452,1470455,2552665,254710833 Dl.O(d2) = 321907,575158,1020718,1789947,3054185,2715178,2715179,254508775,3086264,2714950,1792103,1024259,1024263,1792140,1024464,577284,322987,322988,321357,321358,573954,574007,321378,321381,322774,178397,98190,98189,178391,322755,576822,1023687,1031156,1031157,1805699,254380037,3066589,3066588,5061590,5072619,3075729,1794484,1027932,579182,579181,1027929,1801081,3063380,3055930,3055931,1787050,1787049,3065575,3065576,254563011,11896478,7994596,5089113,3088099,3088101,5089115,7994601,11882283,16970115,11910869,11212027,9167966,6000469,5069806,5069809,7936843,7936844,11873382,11908544,7965446,7965447,8000299,5092945,3090826,1805483,1805484,3060010,1783867,1017362,573429,321101,177609,97827,97826,177605,321091,573407,1017323,1783797,3059858,5050278,7940980,254824796,7962047,7957966,5061707,5061705,7947773,5054381,5054379,5053512,3061521,1784610,1017691,573589,573590,1017698,1784629,3061556,5053577,7946403,5078775,5078774,7941032,7941033,11878685,7945252,7945251,11884379,16140892,16719677,11677863,11677861,11879005,254381022,7942727,7980479,7980480,11926780,254570202,23243881,16976930,11889950,11889949,16960369,11872274,7935893,5046405,5046404,7935889,11872270,16960363,11896687,7955409,7955410,7791628,7791625,11684493,16727216,16996228,17014864,23274761,29457975,22123815,16009720,11115102,7372053,7372050,11115089,11891331,7951075,7951078,11882098,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878773,8991723,7960006,7960008,7937091,7937090,7953999,254357290,11932899,17017022,23275709,17082685,11994937,10840120,7166241,267838836,254178070,7166238,10840114,15659014,16977051,23243934,17033482,17015029,17015030,23244660,16978095,11931554,11931553,17016019,17010356,11924266,11924267,11947339,7997184,7997048,7997047,11947187,16965236,16965237,18561909,18561912,13409770,9168262,9168261,7997589,7997590,8991920,11919689,11947707,10878828,7192395,7192394,10878823,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,7997512,7959930,5063297,5063296,5091409,3089782,3089781,5091404,7956052,267987729,7955851,7955852,11897185,11874792,11874791,16962911,11891223,7950978,7950976,11891215,254822994,23244344,23249872,23297789,267990152,8000380,8000381,11925781,17011558,254384612,17015560,16972684,11885157,11885156,16972682,23241331,30660139,23275440,23240855,23240856,17013409,17013408,23273765,17012811,11927280,11927279,17012808,22966447,21466218,15465285,15465286,21466219,17033487,11948281,11948280,17033485,267838786,11880648,7942415,254258140,11895070,16981510,23246801,16981251,11894751,11894750,11676882,7785524,4935549,4935552,7785538,7933259,5043975,5043974,7933256,7984212,5081511,3081992,1798587,1026269,1026270,578284,578283,1026376,1798817,3082463,5082359,7985654,11932902,17017025,254822880,7943486,5051747,3060604,1784162,1017496,1017495,1784159,3060599,5051733,5073718,5073719,5073837,7973465,7973549,7973574,7786065,7786060,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986521,7995037,7995038,6000951,6000953,8039383,8039380,11212684,254389782,7963496,5066092,255972107,39265635,31509260,27123754,20219780,14509338,14509339,20219763,27123728,35216528,256677254,43069195,42614723,33590697,31269872,28441133,21215634,21215635,268609049,29876144,29876146,26009515,19335557,13827033,13827034,19335560,26009519,28341337,28341336,36838115,39725156,39725155,254889530,42021848,44598255,35217426,35217425,42023033,42023034,52361565,256988670,50208115,40186026,31500848,24002524,17657693,17657694,24002527,31500854,255586858,58117291,48433286,256535109,31511987,256670132,61701612,52361537,52361536,62030414,50538866,40503690,31808316,31808315,40503688,50538864,62030413,50538868,40503691,268437282,39265890,30670081,25348186,18766710,13363418,13363416,18766687,18766715,18766713,25348190,21129128,15180555,10470974,10470975,15180561,21129145,28341316,29829397,29829395,28885158,21609252,21609254,28885166,33078863,29167513,21858320,15786182,255088872,2743229,4561636,5287004,6878057,10432934,15126010,10715609,7079346,7079347,10715614,12186633,15786200,10936289,10936288,12365855,12365854,17532664,15781468,15781467,15084409,15084408,20117370,14427154,14427155,20117373,27008905,28091422,25738492,19105422,19105424,17906816,17906817,22120694,16195737,16195739,17906805,17906807,17906827,22121305,17310966,17310967,21000128,21000115,21000114,21000227,15084466,10404375,10404373,8217040,5286988,3238874,3238877,5286996,8217059,7079359,4457092,4457093,7079363,10715642,12365849,8355776,5393332,5393334,8355782,10404350,10404348,15084419,10966663,10966660,15825309,20117365,19105406,13640965,9341076,6118569,6118571,9341083,13640977,19105428,16006907,11113177,11113176,16007022,11112840,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532672,15825319,10966667,10966669,15825330,12509991,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370410,11112877,11112997,7370492,7370490,254565946,4656165,2805049,2805047,4656161,7370437,11112923,255450003,16006958,11112782,7370358,4656121,4656122,7370361,11112784,16006959,16007259,11113050,7370538,254523114,2805090,4656227,2805135,2805131,4656317,2805214,2805218,4656483,7371016,7370430,4656156,2805044,2805043,1627332,925362,521617,292374,161728,161729,292380,521626,925389,1627368,2805281,4656617,7370756,4656563,4656565,4656281,4656282,7370650,11113139,11112795,11112794,11113134,7371068,7371069,11113737,16008035,11113714,7371060,7371061,11113719,11113653,11113652,15979781,16008022,16008186,16008204,11113867,7371156,7370990,4656462,2805210,2805211,4656466,7371001,4656502,2805233,2805234,4656506,7371046,11113697,11113955,16008324,22121906,22121907,29455922,29455926,38018025,38017921,29455947,22121934,22121933,29455946,256031810,22122094,29455927,256382509,257083101,31521094,31521093,31521090,255578437,254862945,5469954,5469951,8464170,12495896,17670749,24019719,31521051,38018274,47932144,59323999,47931955,38017979,29456221,22122208,22122209,29456226,38018268,42321917,39886185,31206993,31206995,23720155,17898105,17898106,24278556,31792292,40487367,256537798,25581653,18973803,18973802,22121972,16008240,16008239,22121968,25581627,25581628,25581637,25581636,22813331,22813330,24019757,24019758,31521089,30204870,22813357,22813358,30204873,25581543,18973719,18973721,25581548,25581600,25581601,33340944,38017995,29802618,29802620,29455866,29455867,38017974,38030656,29468134,29468135,38030657,47944504,59336324,48325028,38415234,29845291,29845290,38415232,33340986,33340985,29455976,22121963,16008232,11113885,7371174,7371175,11113890,16008243,13538684,13538683,18973790,25581634,30204824,22813335,22813336,30204828,30204893,22813372,16595162,16595163,22813375,30204897,29455980,22813313,16595130,11573980,268093575,22813316,28258777,28258778,36753790,46639922,37777497,37777496,29468139,22132871,22132872,29468144,38030669,42321880,33340989,33340990,42321881,48711505,48711504,59324029,47932015,47931580,38017409,29455171,22121103,16007359,255450017,29455167,33341053,33341052,42321925,52709174,255580102,48711765,48711352,38789295,38789294,48711463,47697919,255580098,30684038,29456059,22122051,22122050,29456057,38018132,33143975,25403874,18814184,13403301,13403302,18814187,25403878,33143980,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010916,31511094,40197033,40197042,50219179,47932051,39473626,37740874,29180053,29180052,37740870,36561464,36561463,46425667,49840697,40197095,31511183,31511184,37631136,47536785,48064031,38151233,38151232,48064027,40425526,40425527,38790245,38790246,38180999,29613922,22263003,22263001,17664010,12490905,8460117,5466350,3361355,3361354,5466345,8460099,12490881,17663959,24010941,31511057,24010885,24010886,24010908,31511080,29456156,22122144,22122143,29456150,29675114,37028921,30205965,22814326,16595866,16595864,22814320,20917332,20917333,28091467,36561477,29912872,22555593,22555592,29912867,38470917,38790137,30205386,30205385,31511049,31511050,38790237,30205515,30205516,30206635,22814922,16596354,16596356,22813910,16595521,11574213,8460104,8460106,12490889,17663934,17663935,17663954,24010933,31511125,254818442,20288101,22814339,16595875,11574454,7704214,4875902,4875903,7704210,11574446,16595854,22814303,256439499,22813830,16595462,16595461,22813827,30205440,38790173,31816984,24301114,24301115,30080053,29675111,29675110,37049225,28549458,21324869,21324867,28549453,37049221,46927287,58293010,48712166,38790182,268910279,28258753,28258755,36753775,46639907,46639908,257506538,61700997,60107338,48712170,38790193,30205457,22813846,22813845,268649295,48712168,58659462,58659463,269340551,29675136,29675137,22813714,22813715,22813763,22119381,16005908,11112060,11112059,16005901,22119377,28258766,21057670,21057671,28258772,36753784,38240024,30205404,22813792,16595436,11574165,7704036,7704037,11574168,16595449,22813804,22324578,16931862,16595582,11574260,11574259,11574155,7704031,7704030,11574153,11574147,7704027,4875797,2937972,2937974,4875806,7704043,10432946,6878068,6877975,4317455,4317456,6877979,10432801,15125796,11784193,7868319,7868317,6877985,6877984,10432815,15125815,21057681,16850264,15125798,10432807,7704432,7704431,11574706,11574705,16596224,22814768,28258902,28258813,21057710,15125832,15125833,21057713,22324836,16596342,16596344,20917107,15011058,10340549,10340548,15011052,16179244,16179243,20917270,15011171,11574800,11574799,16179466,11574311,7704124,7704123,8608312,5594036,3470602,3470600,5594030,8608299,8608342,8608343,11784185,7868314,7868313,11784180,16850288,16596388,11574826,7704441,4876026,4876025,7704437,10896584,7704305,7704306,11574606,16596097,21057808,15125932,15125838,10432825,10432826,15125845,21057722,16596347,15126058,10432968,6878083,4317506,4317505,6807418,4269524,2552656,1470452,1470455,2552665,254710833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12239367, s2 = 10738506, dlinesl.size( ) = 2 s1 = 12239367, s2 = 10738506, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12239367, Dl.E( ) = 2, 9.06e-06 seconds used appending s1 = 10738507, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14181732, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12240029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12240029, s2 = 11429628, int(edited[s2]) = 0 s1 = 12240029, s2 = 11429628, d1 = 28, d2 = 20 Dl.O(d1) = 22044973,22071304,268239883,11774894,11774893,16838049,255882145,18927800,18927799,25540236,33302412,37372464,28832764,21562061,19850324,15965051,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494017,11063803,7335854,7335853,11063799,15943659,254277712,15946657,11066045,11066044,15946656,22049921,21974769,21974768,18929081,13494438,13494440,18929087,25541702,25542149,21974825,19793135,19793136,15941321,11061929,11061931,15941328,22044216,29374990,25541185,25541186,22071718,22071719,22063229,22063225,254151794,47876192,42279418,42279417,44603171,44603170,43858874,34588555,30531147,23112705,23112706,29626140,38189498,29622321,29622320,22271103,22271102,29622398,33306243,33306242,34598270,34598271,34124640,29400099,29400098,33184285,25439007,18842691,18842693,19511638,22272070,16130286,11205165,7434951,7288095,7288097,11009412,11399527,16379452,22273135,16131195,16131194,21976676,261149973 Dl.O(d2) = 263011814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12240029, s2 = 11429628, dlinesl.size( ) = 32 s1 = 12240055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10624583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15058730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15058730, s2 = 7991789, int(edited[s2]) = 0 s1 = 15058730, s2 = 7991789, d1 = 14, d2 = 23 Dl.O(d1) = 21269017,15307519 Dl.O(d2) = 14447573,255443702,17950830,12720454,8643320,8643321,9448611,9448612,13781010,13781228,13781227,14490779,9970327,6552625,6552624,9970324,14490773,20195903,16360164,11385250,7563959,7563786,7563787,11384994,16359860,22450520,22450519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15058730, s2 = 7991789, dlinesl.size( ) = 24 s1 = 7809252, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15238943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178575, s2 = 15326874, int(edited[s2]) = 0 s1 = 11178575, s2 = 15326874, d1 = 32, d2 = 63 Dl.O(d1) = 257564074 Dl.O(d2) = 261760496,273493935,162150300,149938656,261085784,94418905,80365266,66939783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178575, s2 = 15326874, dlinesl.size( ) = 14 s1 = 11071739, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12241035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12241035, s2 = 11023898, int(edited[s2]) = 0 s1 = 12241035, s2 = 11023898, d1 = 29, d2 = 10 Dl.O(d1) = 12119367,8150743,8150741,12119364,8223429,5293636,5293635,8218188,8218187,11719068,16765974,17275602,14192752,9756623,9756624,13368825,13368824,14442839,9935352,6529909,4091540,254472227,254977323,10977762,10977761,7284724,7284722,11004399,14442291,14442292,15875555,14545109,10007563,254344506,6994392,4395630,2634075,1521135,862467,486757,273753,151649,151646,273735,486784,862525,1521244,2634287,4396012,6994986,10602041,10602615,10602235,10602236,12721461,12721460,14422672,14422671,15230821,15230822,17608771,20110566,19297236,13796731,9460661,9460662,7759004,7758893,6519023,5971605,5971604,4913919,4091912,3734199,3734203,5971261,6234651,3903263,3903262,5663991,6234585,9505657,254308976,15354712,13376679,9142875,5983037,5983041,9142880,13376686,18781551,17590270,17590272,23932783,25364699,25364202,18781334,18781333,13693279,10553228,6960287,6960289,10553233,15287851,21252722,28472719,22152477,16032558,16032560,22152486,23674067,31162609,25364330,18781424,18781423,25364324,23933057,23933048,17590444,12416300,12416299,17590375,12416264,8392053,5415626,5415627,8392056,9142940,5983073,5983070,9142934,13376772,12416215,8392030,5415616,5415619,8392042,12416243,17590326,23932856,18781260,18781262,18570329,18570330,17590356,12416254,12416253,255570613,25364738,18781712,18781713,25364740,33098421,40102995,31423255,23932864,17590331,17590332,23932867,31423260,40103001,50123248,40103049,40103048,40103135,42046396,42045835,42045836,47968495,38055211,29491263,22152410,22152411,29491265,30370937,30370936,29491300,22152433,22152432,29491297,38055272,32032585,25121818,25121819,32826023,32032570,24470212,24470213,32032578,25364634,25364632,25122096,25122097,27936395,27936397,36380648,38055376,38055377,40102953,32825956,32825955,32825921,32825922,41746617,41746818,41746817,49405033,47103868,47103867,38571067,255925511,16443980,11457222,11457223,16443985,18841273,25437229,33181946,38571057,33182315,33182314,38570968,36771431,28275942,28275932,21433943,15439869,15439870,13423779,13423777,18841305,25437167,33182051,33182049,28683566,21433997,21433984,21433983,28683549,37207349,42141548,37207176,28683427,28683426,33182121,33182116,42141512,256558712,59559748,52500221,255840392,48484322,38570888,38570889,48484324,42141372,256126903,18841227,13423747,9177931,6007050,6007049,9177926,13423734,18841206,25437094,33181922,42141260,52499934,64374239,62506820,62506821,63878951,52060499,41746400,41746399,43833981,43833982,54579104,44401035,44401037,37891701,29323753,21994461,21994460,29323747,37891688,47813465,59212011,255509382,256453856,35025956,35025957,35026041,35026040,44401336,52499899,42141212,42141214,52499902,64374224,52499961,42141306,42141307,52499963,48483822,48483821,54579108,54579095,44401175,44401177,55248979,64589893,52689268,52500026,42141392,42141393,52500032,44401359,35026059,35026058,35025720,26945014,26945012,35025716,44400896,42302491,42302456,33321699,25559710,25559709,33321697,42302452,52689254,55249034,44401223,44401224,255953572,33181888,42141221,52499910,64253081,256453898,52500014,52500015,48484180,48484182,50219028,40196823,40196822,50219023,59876008,48484013,38570526,38570525,42302459,42053561,42053563,38570589,29999830,22630475,16443728,11457098,11457099,16443734,22630487,29999850,38570607,48483677,38570048,38570049,38570088,38570091,38767894,30184235,30184234,38767887,47375166,48483847,48483843,44781096,44781097,37468237,28927542,21650952,21650953,28927548,28927530,28927531,37468218,30000906,22631476,22631477,28927575,28927574,37468275,47375073,48483866,48483839,38570476,29999739,22630497,22630492,29999864,255060784,22631444,22631102,16444141,11457310,7620793,4821697,4821700,7620797,11457325,16444173,16444177,16443330,16443328,22629869,16444127,16444129,22631088,27966477,27966478,22630560,22630559,29998977,22629830,22629828,22629967,22630120,22630023,22630024,268644477,22630017,256423401,34561814,26575104,26575103,34561812,256972028,43834632,34561789,34561788,256764057,256925156,256719585,32809068,25106793,18557488,18557489,19772707,14162746,9736948,6403011,4017336,2407323,1948178,1948179,3311533,5385245,6425898,255729631,256405480,48224561,38314744 Dl.O(d2) = 267985063,267985061,254078794,557988,991876,254086594,4974932,7837359,11738668,254355428,28286482,21080459,15142179,15142180,16008217,254106540,17691945,17691947,21000030,15170887,15170889,11020331,11020332,15896955,21995477,29325007,28182896,22121623,22121624,29455646,29455638,29455639,256031992,36659467,30777290,23353391,23353392,30777294,39378843,49306528,59875445,256031700,36823005,28327398,21117336,15170875,15170873,21117330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12241035, s2 = 11023898, dlinesl.size( ) = 22 s1 = 14273478, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12241107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12241107, s2 = 14088580, int(edited[s2]) = 0 s1 = 12241107, s2 = 14088580, d1 = 14, d2 = 23 Dl.O(d1) = 39262887,39262886,33426185,25657979,256143607,25658073,33426291,36442636,36442635,42416929,33426282,25658065,19039257,19039256,25658063,33426278,42416920,52818397,42416882,33426212,33426211,42416881,52818161,52818160,64733879,77924814,64733875,52818390,42416875,42416872,52818388,42416918,42416919,47850908,47850905,39461308,30856628,30856627,39461305,49389628,60790287,73537406,64090207,64090206,67663828,64090179,64090180,59287975,255357890,52242702,57977206,70695218,72389653,74040685,67805387,256516792,35233532,27138522,20231413,14517706,9989575,6565519 Dl.O(d2) = 8917127,8917126,13085601,18422633,24934483,268284621,18422746,24527885,18096030,18096029,12849949,8738187,8738188,12849952,13085636,255633735,32596485,41473527,51742184,268725885,32596314,32596484,41473457,32596416,32596415,41473455,41473532,32596489,32596469,32596470,32617760,268726637,47118625,269314661,51742174,257746621,41473564,32596536,24934596,24934595,32596534,41473561,257413294,40876319,40876320,256578559,32143831,24934547,18422682,13085634,13085632,18422679,18422547,18422546,24934378,32596310,32103942,24951807,24951805,32617749,41498607,51770511,52715058,52715057,63001432,51322232,51322178,257076506,32324203,41138264,51322199,51322317,63001405,51322191,41138309,32324244,24709444,18237948,12936806,8801118,8801116,12936801,18237939,24709421,32324226,41138261,51322198,63001408,70435616,59307611,59307612,72043009,74215580,85232152,87834505,74229671,61450362,61450363,59307544,59307543,70321942,83847738,85232195,85630768,72042937,59307571,58945254,47562360,37656295,37656147,29106524,21807884,21807885,21808012,21808011,29106671,33201902,33201901,256041728,37656765,29107075,29107074,37656763,268118708,47562937,47562726,258088393,52520033,42161830,33201906,33201907,42161832,52520035,64393964,58945736,58945735,52520027,52520029,58945589,47562803,47562802,50143610,58945796,52520044,42161838,42161837,269006792,77562018,85231912,85231911,99154152,100812149,99154461,85232320,259337847,109793592,258679598,70679487,57961012,46584495,36697907,28207149,28207150,36697910,46584498,57961015,270279913,74404098,88009402,101984856,114588427,100556359,88321505,74693939,74693938,84232578,84232577,98127645,98880214,100556358,95591553,81557970,68067838,68067839,256289322,71379384,61846847,61846848,74639146,81557897,68067744,55668212,55668211,61900368,71379357,58643450,58643451,71379360,81557936,68067793,55668283,55668284,68067832,60261214,255374568,44757837,44757770,35329808,35329809,44757773,52784542,42385353,33396508,33396509,39349318,40122129,40335510,40335511,50362657,52784545,50362679,50362678,48652936,38731896,256978117,42385349,50362610,52784563,52784562,61417958,49940048,39922297,39922298,33396570,33396571,36958328,36958329,40122628,31443326,31443327,40122632,269356110,52784536,52784524,42385325,33396476,25630480,19014750,254363324,28558345,28558344,21332504,15359731,10611757,7002222,7002223,10611761,15359739,21332517,28558388,25550892,18938412,18938411,267980682,28627495,22212556,22212557,25550879,256135303,36994670,46873507,58241141,52531176,52531178,64404497,64698455,57721947,46371606,40103213,40103212,50123380,61603245,74379811,258161856,65832682,65832684,79194568,70957836,58241099,58241098,65832711,53772576,53772575,53898363,43374564,43374565,53521353,65545515,59133461,47734871,37812692,29248008,29248009,37812695,47734874,52014873,257172241,41704576,41704623,32789143,32789144,41704625,52015059,59202064,256127124,37878654,47802403,50263194,47802358,37878614,29309804,29309805,24053244,17699450,17699451,17699457,17699455,24053257,22779142,22779143,30168212,29309778,21982055,21982054,29309774,21982103,21982101,29309800,37878517,47802268,50389932,61879613,268629080,256373090,29372292,29372293,34255979,43355929,43851611,34579970,34579971,37878312,29309482,24897105,24897107,24897071,18394738,13065503,13065502,18394735,24897066,32546039,37034440,38751391,37878683,31090479,31090478,37878572,29309764,29309762,31557586,33809607,29309747,21982039,21982038,29309744,32546091,24897113,18394767,18394765,21982107,15886523,11012620,7290224,4597231,4597230,7290219,11012607,15886498,21982064,29309792,33143190,25403214,18813696,13402955,9163302,5997319,254648511,13402953,18813693,25403211,23541562,17233358,17233357,17232436,255528941,267988571,5094845,5094844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12241107, s2 = 14088580, dlinesl.size( ) = 14 s1 = 7823122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7823122, s2 = 64156, int(edited[s2]) = 0 s1 = 7823122, s2 = 64156, d1 = 6, d2 = 0 Dl.O(d1) = 13591760,269089208,2284833,254148275,242644,134141,72942,72938,73375,39718,39721,73039,73403,39724,39721,73039,73245,73249 Dl.O(d2) = 1329871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7823122, s2 = 64156, dlinesl.size( ) = 12 s1 = 10993773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993773, s2 = 11059298, int(edited[s2]) = 0 s1 = 10993773, s2 = 11059298, d1 = 11, d2 = 6 Dl.O(d1) = 254213169,450965,450961,795721,1398288 Dl.O(d2) = 25817816 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993773, s2 = 11059298, dlinesl.size( ) = 16 s1 = 12477416, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12477416, s2 = 14320199, int(edited[s2]) = 0 s1 = 12477416, s2 = 14320199, d1 = 4, d2 = 10 Dl.O(d1) = 264119692 Dl.O(d2) = 191654499,183043627,173191426,162090450,149877430,136735273,122903242,108638514,94350814,80294226,66864763,54606674,43863701,34593124,26606092,26606091,31260703,23775562,23775561,31260700,39935910,44393230,44393231,54606679,43863710,34593131,26606095,19799041,14181840,9749354,7860031,7860032,11772880,16835170,23089129,30503125,39098936,46807909,36929574,28430898,21207019,16978664,16978663,23245189,28007423,20842773,14943056,14943057,20842775,28007426,21207024,15240742,10513726,10513725,15240741,21207021,28430902,33156120,33204294,25457134,25457133,26129742,25457126,25457127,256644421,52522790,42164421,42164420,52522789,64396693,77565078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12477416, s2 = 14320199, dlinesl.size( ) = 2 s1 = 12477416, s2 = 14320199, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12477416, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 12477494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10752119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12241927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10704109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10704109, s2 = 12241928, int(edited[s2]) = 0 s1 = 10704109, s2 = 12241928, d1 = 4, d2 = 6 Dl.O(d1) = 254128432,11129630,11129629,16028967,22147891,16871273,11802050,11802051,16866753,11798333,11108148,11108147,11793199,11409159,11409158,11801510,16028877,11129542,7382282,7382284,11129546 Dl.O(d2) = 7879463,7879465,11169290,11169291,16083014,16083138,254173404,4682275,2821137,1636687,930670,524542,293931,162551,89348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10704109, s2 = 12241928, dlinesl.size( ) = 2 s1 = 10704109, s2 = 12241928, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10704109, Dl.E( ) = 8, 8.11e-06 seconds used appending s1 = 11040637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040637, s2 = 12639203, int(edited[s2]) = 0 s1 = 11040637, s2 = 12639203, d1 = 8, d2 = 62 Dl.O(d1) = 17101733 Dl.O(d2) = 5129348,5158169,5123013,5123012,8033487,8042375,11990295,12015695,8074471,5169057,5135507,3122584,1866890,1064927,1064929,1065033,598607,254088669,100729,100730,183808,334086,599601,1066732,1866340,1866341,2870072,4760595,2869562,1665387,1665385,2869555,4760583,5155261,5137649,5137648,5135014,3189046,3189044,5154253,5107658,3101061,3101059,5107645,8018998,254377508,8046169,11329736,11329735,12010739,12020293,8079830,8079829,12008832,11973069,11973068,17064366,254818968,5111074,3103558,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,1047221,590099,588693,588690,329257,329251,254131171,1838268,3017557,4994535,5156708,8063576,12006990,11973671,8019013,5107658,3101061,3101059,3103664,1813481,1813482,1813491,1813490,3103687,3153473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040637, s2 = 12639203, dlinesl.size( ) = 26 s1 = 12242103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12242103, s2 = 11053036, int(edited[s2]) = 0 s1 = 12242103, s2 = 11053036, d1 = 3, d2 = 19 Dl.O(d1) = 17451145 Dl.O(d2) = 39940886,49957608,61435134,74043652,74471429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12242103, s2 = 11053036, dlinesl.size( ) = 14 s1 = 7813675, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10999861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10999861, s2 = 11004030, int(edited[s2]) = 0 s1 = 10999861, s2 = 11004030, d1 = 11, d2 = 9 Dl.O(d1) = 5840161,5840162,8947224,8718623,5675083,5675079,6537003,5675002 Dl.O(d2) = 6537217,4095768,2450268,2450267,1534159,870476,490740,490739,870472,1534150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10999861, s2 = 11004030, dlinesl.size( ) = 12 s1 = 10870236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11000199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000199, s2 = 11650934, int(edited[s2]) = 0 s1 = 11000199, s2 = 11650934, d1 = 26, d2 = 21 Dl.O(d1) = 254296245,1288977,735857,735858,1288984,2221991,3710466,5934148,7677975,10299784,6818502,6343185,3979706,3979707,6343188,9647378,10355318,9079032,9079033,9079070,9079069,5937889,3712851,3712853,4254527,6786666,10296396,9079191,9079188,6808182,4270061,4270058,2566293,1477680,1477682,2566299,4292369,3723445,3723444,4286163,6831729,9099975,5953978,5953977,9099972,6757824,4283844,254486699,10365426,13301702,13274290,13274291,255646911,258381661,91121105,105342160,271978913,146692192,262453799,273440523,197139201,264618283,274229961,223122115,225390218 Dl.O(d2) = 235294145,274764810,235294142,274654642,197139197,263330911,170393964,159057711,146692191,146692192,263330913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000199, s2 = 11650934, dlinesl.size( ) = 28 s1 = 12242387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13186723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13186723, s2 = 5437375, int(edited[s2]) = 0 s1 = 13186723, s2 = 5437375, d1 = 26, d2 = 25 Dl.O(d1) = 4794287,7579777,11406580,16054012,22180203,25887704,22219381,16087521,255170764,11406567,11406517,7579737,6231439,6231441,9500571,13849183,19362041,25882792,26029727,19352495,15516626,15516627,16387743,16387741,16387597,11405532,11405531,16387588,13804270,9466360,9466362,9685969,9685968,14081952,19362354,19362353,19362348,19362346,26040828,29523048,22180496,22180498,25860872,33341649,33341650,26040678,26040679,29522913,22180350,16054167,16054165,22180342,256026890,29523125,33757716,38087402,29523058,22180504,16054284,11147205,7393595,7393596,11147207,16054289,22180514,255199634,29523056,24097471,254652718,26029707,33824219,33824220,40490944,31796008,29523128,22180585,16054361,11147257,7393625,4671002,2814219,1632708,928501,928499,1632699,2814202,4670979,7393580,11147182,16054252,11406696,11406694,254867790,22483887,29849306,23779988,23779989,31265072,31199729,23780123,23780122,23154469,16893166,16893165,19228543,13736393,13736392,12232736,12232737,17362859,17430735,15486837,15486836,21492829,21492932,15486937,10709439,7075180,4454361,2675883,1550003,881209,497244,497245,881218,881234,1550057,2675982,4454538,254281260,12522890 Dl.O(d2) = 185834529,176395927,176395928,185834530,194065217,201117497,263520948,211963264,215969607,219287667,263520946,207059820,211963264,215969607,219287669,219287670,219287671,263878766,215969610,219287674,219287676,222090123,222090122,224497709,264485814,219287661,215969603,263125056,201117490,201117491,263125058,215969605,219287663,219287670,219287671,263878766,215969610,219287674,219287675,264485816,226589700,264743912,224497711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13186723, s2 = 5437375, dlinesl.size( ) = 8 s1 = 14183256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14183256, s2 = 11120094, int(edited[s2]) = 0 s1 = 14183256, s2 = 11120094, d1 = 15, d2 = 10 Dl.O(d1) = 13902898,19430842,26125387 Dl.O(d2) = 65525843,53500388,43021084,43021085,48787132,41481162,41481161,38865275,30279865,30279866,38865276,38522767 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14183256, s2 = 11120094, dlinesl.size( ) = 20 s1 = 12242625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12242625, s2 = 11231284, int(edited[s2]) = 0 s1 = 12242625, s2 = 11231284, d1 = 17, d2 = 21 Dl.O(d1) = 6261046,6196008,3877989,3877986,6195999,9450908,9279633,9279631,9447536,6273232,6193842,3927754,2351328,1362065,776285,776282,1362057,2345257,2312831,1341719,1341720,1362538,1362534,1341718,1341720,2312835,3822063,6108136,6105416,3820094,254148518 Dl.O(d2) = 52859207,255680484,260295387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12242625, s2 = 11231284, dlinesl.size( ) = 26 s1 = 11448713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448713, s2 = 14100356, int(edited[s2]) = 0 s1 = 11448713, s2 = 14100356, d1 = 50, d2 = 52 Dl.O(d1) = 274175577,270793422,257399998,97721717,83863028,83863025 Dl.O(d2) = 151541649,258622352,125506531,259248456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448713, s2 = 14100356, dlinesl.size( ) = 40 s1 = 15088308, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14273678, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14273678, s2 = 11206870, int(edited[s2]) = 0 s1 = 14273678, s2 = 11206870, d1 = 23, d2 = 55 Dl.O(d1) = 91233379 Dl.O(d2) = 67712007,67712010,67712009,81177268,95232895,95232896,260405111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14273678, s2 = 11206870, dlinesl.size( ) = 28 s1 = 15088362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15088362, s2 = 11211062, int(edited[s2]) = 0 s1 = 15088362, s2 = 11211062, d1 = 18, d2 = 27 Dl.O(d1) = 255015447,21077247,15221110,10499467,10496122,6921293,4348225,4348224,6921288,10496116,9352836,9352837,13658307,10497121,10497122,15217630,18184072,12896367,12896368,18184073,24640100,24817001,25768560,30461083,23053230,16807198,11752964,7847407,4981409,4981404,7847387,11752937,14563435,10021311,10021312,14563439,20294575,21441773,21441774,21617395,22752869,17854334,14948289,14948288,254117646,10275386,6752785,4231405,2529983,2529984,1868173,1868172,3191866,5230244,8159328,12127679,15458532,15222180,254910870,28404618,36901971,46779820,49844943,49844944,259491279 Dl.O(d2) = 255954494,30023454,29870546,22511236,22511238,16339582,11368792,7552912,4776338,4776339,7552919,11368811,8243554,8243556,11384775,7563640,7563643,11384780,12213164,12213165,17339351,254518946,13214050,9007498,9007500,8168299,5237755,3197286,3197282,5237743,8168273,8168510,5237887,3197346,1871584,1067571,1067569,1871572,3197312,5237817,8168405,12138460,12141712,12141709,17262128,23573558,21566462,15544200,267771036,8222271,254261834,16352916,267908232,16317574,16306424,16306423,22476968,29561101,23009056,23009057,30413723,25561493,18949206,13512418,9245691,6055384,3789186,3789185,6055382,9245689,13512414,11968505,11968503,8012007,8012005,11968532,12259076,8279184,8279185,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679861,11543357,7679739,4859372,2928416,2928415,4859369,7679730,11543341,16560603,22775893,23439172,254807248,22230526,22230527,28303972,21094962,15152466,10450043,6888840,4324701,2587388,1491599,1491600,2587390,4324705,6888846,10450053,15152606,21095158,28304208,28304231,258024873 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14273832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9341579, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14294906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14273846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13227566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13227566, s2 = 14273845, int(edited[s2]) = 0 s1 = 13227566, s2 = 14273845, d1 = 6, d2 = 4 Dl.O(d1) = 15082802,10403245,6857678,6857620,4303680,4303683,6857637,8946339,8946342,13125785,8946451 Dl.O(d2) = 18333409,24825853,32464601,33931712,33931711 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13227566, s2 = 14273845, dlinesl.size( ) = 2 s1 = 13227566, s2 = 14273845, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13227566, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14273865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12244341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12244341, s2 = 11163998, int(edited[s2]) = 0 s1 = 12244341, s2 = 11163998, d1 = 19, d2 = 6 Dl.O(d1) = 254942425,19258126,25919947 Dl.O(d2) = 33726584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12244341, s2 = 11163998, dlinesl.size( ) = 20 s1 = 14273878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9743278, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9743278, s2 = 1172137, int(edited[s2]) = 0 s1 = 9743278, s2 = 1172137, d1 = 1, d2 = 1 Dl.O(d1) = 2318579,2341504,2341476,2341475,3910794,6246965,9524081,9496391,9496392,8814037,5741878,3575323,3575322,267922675,18256645,24729476,32345075,41159703,51344627,44728070,35308799,29819504,22452007,16282830,11324082,7520283,7520284,11324084,16282834,22452012,29819508,38391921,258143293,86021415,258290855,257681677,256549947,24218179 Dl.O(d2) = 2318579,2341504,2341476,2341475,3910794,6246965,9524081,9496391,9496392,8814037,5741878,3575323,3575322,267922675,18256645,24729476,32345075,41159703,51344627,44728070,35308799,29819504,22452007,16282830,11324082,7520283,7520284,11324084,16282834,22452012,29819508,38391921,258143293,86021415,258290855,257681677,256549947,24218179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9743278, s2 = 1172137, dlinesl.size( ) = 2 s1 = 9743278, s2 = 1172137, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 9743278, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 16266479, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10540795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12479364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053628, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12245049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14184544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13244859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12245685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12245685, s2 = 14136794, int(edited[s2]) = 0 s1 = 12245685, s2 = 14136794, d1 = 22, d2 = 39 Dl.O(d1) = 5073523,5073524,5049366,3091000,1805605,1805606,267836579,3056544,1781419,1015866,572626,572627,1015868,254252539,3053115,1778755,1778756,3053116,1789846,1020641,575099,504616,504618,282946,282947,504661,577003,322841,179089,179087,323164,178581,178583,322872,577067,577356,1024590,1791031,1791030,1021473,1017078,573271,573269,1017072,1783397,3059269,5042305,3054296,3054297,5041200,3052056,3052055,3057706,1782272,1782273,254377047,3052249,267836529,7930385,254568928,3079234,1796922,1025342,1025343,1796924,3079235,1803756,1029903,1029904,267794551,1023568,576831,322759,178392,98190,98189,178391,322755,576822,1013881,1013879,1778355,1797073,1025443,577808,577805,1025429,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802748,3070781,1790632,1790634,3070790,5059693,5057506,5057504,3070020,3070023,1795319,1024313,1024312,1795317,3076919,5074183,7973906,11919280,11917182,11917183,17004152,17013092,15666398,11933689,11910710,7967161,5069040,5069041,7967164,11910712,254822522,7987380,11872969,11872533,11872532,15669092,10847317,7171071,4516868,2714566,2714567,4516873,7171077,7942252,5050999,5051000,3060217,3060215,5051007,7942272,7979393,7979392,7946276,7946277,7985829,5082449,3082511,1798840,1798838,3082504,5082431,7985800,11933083,254257624,11918712,15865923,16974924,11900193,7958525,5062270,5055249,5055246,3067177,3067181,5062331,7958637,7986523,7986524,254103666,11211446,11211445,254382984,17037578,16971208,11883495,11883497,11883502,11883500,7944832,5052616,3061082,1784418,1017614,573549,321162,321159,254129439,1784396,254562615 Dl.O(d2) = 257608144,87085037,265182771,215621360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12245685, s2 = 14136794, dlinesl.size( ) = 28 s1 = 11327991, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15266449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12246123, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12246151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12246151, s2 = 10516342, int(edited[s2]) = 0 s1 = 12246151, s2 = 10516342, d1 = 4, d2 = 7 Dl.O(d1) = 18324441,17991274,12752011,12752007,12746342,8662308,5635031,3501987,3501988,5635033,8662314,5828495,3636856,3636855,5828492,268006609,8965809,5852939,5754217,3583208,2135377,1232286,1232287,1238885,2144578,2144123,1238561,702401,702400,1238557,2144115,3595515,5771910,8855813,13007683,13009538,8857122,5772811,5772812,8857124,12776610,8684848,5651645,5651647,8684855,8746313,8746334,12861154,17991270,13007685,13007686,12782875,8689791,8689789,12782871,8696260,8657900,5631714,3499659,3499658,5631709,8657891,12740537,9214600,8857117,5772808,5772807,8857109,12973305,12746346,11733872,7834087,4972843,4972845,7834091,8855826,5771917,5771918,8855832,13007705,16442105,11455986,11455987,16442111,20202096,18136981,18136976,12861129,12861130,8746374,5694331,3542793,2109388,2109387,3542787,5694316,8746343,12861170,18137024,18044467,18044465,18324477,18044460,18044461,22628242,16442117,15041534 Dl.O(d2) = 254209052,23975528,19332974,19332975,13994294,13994293,13473131,13473130,18904698,14065234,14065233,19102447,13638554,13638555,9670004,6360131,3990758,2391716,2391714,2391775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12246151, s2 = 10516342, dlinesl.size( ) = 2 s1 = 12246151, s2 = 10516342, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12246151, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10516341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 541266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 541266, s2 = 6502578, int(edited[s2]) = 0 s1 = 541266, s2 = 6502578, d1 = 12, d2 = 6 Dl.O(d1) = 13763332,9432812,6181870,3868565,2318647,1344263,1344266,1344234,1344237,1344235 Dl.O(d2) = 255294839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 541266, s2 = 6502578, dlinesl.size( ) = 2 s1 = 541266, s2 = 6502578, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 541266, Dl.E( ) = 14, 6.91e-06 seconds used appending s1 = 12246239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12246303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15091264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197061, s2 = 8008179, int(edited[s2]) = 0 s1 = 11197061, s2 = 8008179, d1 = 36, d2 = 48 Dl.O(d1) = 64347933,62689628 Dl.O(d2) = 62653023,51026953,51026954,51026961,40889596,40889595,51026957,52702310,42315075,42315074,51383548,41192808,32374061,255624669,18280018,24755267,32374059,32374049,32374050,40889586,51026947,62653033,75595381,89356505,89356633,75595501,62653147,51027051,51027052,59287572,59287573,51027077,51027078,62653170,68127018,68127017,257995086,51383559,51383560,62653094,62653026,51026941,40889576,40889577,44820904,40889592,32115854,24538498,24538499,32115859,40889601,51026964,51026944,51026943,41192822,32374072,24755274,18280023,12974344,8831562,8831561,12974339,18280016,24755264,32374054,41192801,51383542,63072549,269293338,255782866,268062030,18105083,18105084,24538595,32115955,40889695,40889694,51027056,44820907,40889652,32115895,32115896,40889654,51027014,46295223,46295224,46295131,40889602,32115861,24538503,18105015,12837642,12837641,18105011,24538494,32115851,40889582,32374080,24755280,18280029,12974351,8831569,5754818,5754817,8831567,12974348,18280026,24755275,32374076,41192827,51027152,40889784,40889721,32115961,24538603,18105088,12837692,8729791,8729790,12837689,18105087,24538600,24538571,24538572,20819608,18105039,18105040,24538533,32115899,35394850,44820911,36443353,36443351,35244681,32142706,24560407,24560408,27147182,27147181,20237644,20237643,27147247,35244692,35244683,27147312,27147313,35244773,44628319,35244635,27147193,20237606,20237603,27147187,27147307,35244760,35244759,44628385,44628312,44628313,55478020,44628428,35244778,27147323,27147324,35244779,35239740,35239739,44622455,55471853,67813522,55478082,44628376,44628275,37787321,29225369,21909540,21909539,29225365,37483612,28941772,28941771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197061, s2 = 8008179, dlinesl.size( ) = 8 s1 = 12246487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12246487, s2 = 10902471, int(edited[s2]) = 0 s1 = 12246487, s2 = 10902471, d1 = 13, d2 = 12 Dl.O(d1) = 6006130,3756221,2249680,1305157,744799,744800,1305163,2249670,1414537,1306249,745564,745563,1304995,1943658,1110426,623202,623201,1110423,1303904,1303903,2247907,2248155,1942770,1942769,3302837,3302277,1943641,1110417,1110416,1943638,3303831,5372355,5372354,3755803,2249425,254299085,6005447,254689261,6511247,6004038,3755765,3755766,2249645,1305133,1305134,1110014,622942,346207,189856,103681,103682,189859,267746145,1110031,1943092,1943588,1943589,3303783,5372991,8325491,12323336,254920735,6006768,3756716,2250069,1305474,1305475,2250071,3756719,6006772,4031350,2415777,2415774,1452918,1452917,2442602,2442603,254471185,6414423,6414424,6510380,4079802,2441231,2441230,2189871,1270893,1270894,2189873,1300198,741859,421571,421572,741863,1300207,2242160,2440888,3659996,5862430,4132343,2471907,2471906,2440382,2440383,2441052,2412767,2412765,2192021,2192022,2410969,1395094,793390,793391,1395098,2410976,2441195,2190464,1271324,1271325,1273358,2192923,2192937,3664250,2193657,1306926,1306924,2230551,1293544,1293545,2230554,3725451,5867773,3663570,2192346,1272905,1272904,1272636,1272637,2192034,3663318,2415975,2415976,2246848,1303252,1303253,1411565,2416001,2416000,1411300,802816,454846,256310,141926,141927,256313,454849,729829,729828,808226,1273529,2193113,1411597,803071,455029,455030,802787,454824,454823,423896,423894,239247,239248,423906,746035,454936,256368,141968,141967,256384,454729,454727,802609,802955,1272644,727455,727456,421291,421293,454758,454756,802649,1411000,2440431,2192437,2192438,3663640,2195056,1275173,729389,415335,234727,234726,415332,415708,415709,729939,1275941,1396603,1396602,1273747,1273748,747804,424939,253573,140201,76668,76669,128819,128818,233600,233610,233608,413683,726711,726710,1271735,1419558,1310224,747960,425053,425055,747965,1310226,1395563,794088,743677,422417,422416,743630,422384,238323,238321,422369,743617,1275860,254151945,449762,449763,448519,252344,139291,75994,75995,139294,252352,448529,748113,822685,464592,464591,822681,746038,746037,728949,415037,234516,254076219,70161,129430,234435,129372,129369,234429,414914,728799,794515,1396476,1453023,2194170,2194274,1398726,796097,451200,254928,254927,452317,798065,464687,464686,822784,803639,803638,746224,452599,255126,255127,239431,239430,420849,420846,447949,447950,423790,239173,132199,132198,239170,141123,141122,131119,77917,77918,43358,43359,79241,144053,141405,77473,42222,23304,12962,12961,12047,6675,3572,3573,6680,12059,21538,21517,21516,39040,71982,132394,239471,424184,746387 Dl.O(d2) = 6013097,9187476,13438127,255665029,25461219,18861067,13438123,9187470 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12246487, s2 = 10902471, dlinesl.size( ) = 20 s1 = 11011629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12246689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11212833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212833, s2 = 8192597, int(edited[s2]) = 0 s1 = 11212833, s2 = 8192597, d1 = 19, d2 = 35 Dl.O(d1) = 258654022,48383863,48383862 Dl.O(d2) = 257566001,48728464,50439612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212833, s2 = 8192597, dlinesl.size( ) = 14 s1 = 12247011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14079235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079235, s2 = 12247012, int(edited[s2]) = 0 s1 = 14079235, s2 = 12247012, d1 = 1, d2 = 1 Dl.O(d1) = 268316138,29491620,255297392,254585939,3262704,1919174,1919171,3265178,5315990,8221905,8177496,7831400,4971152,254554593,4966179,3225705,1891049,1891048,3225701,3251360,3251362,5300514,8193552,7328338,4629193,4629194,7328342,5248823,5248826,5291254,5271991,3226450,3226449,3195771,1875273,1603394,1603396,2766011,3229068,5256766,7831497,254520247,4619310,254760541,254837683,5283539,5283540,8212347,8220805,5290687,3242048,1902449,1902448,3225375,2775168,1609811,915912,915911,1609808,2775166,4609513,7305088,7318096,254575315,3241983,3241982,5290629,8220765,11019129,11019128,7316578,7316580,11034461,7309276,7300180,7300181,8229844,5301126,5277857,5277859,5016818,3034836,1766361,1766362,3034843,5016833,7895897,8211049,8152836,7895852,7323863,7319184,4620943,2782550,1614045,1614044,2782542,1615380,1615382,2783478,1614554,1614558,2783491,2998871,2998869,2783588,2783590,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783472,254520525,8182747,12152276,8235454,7315858,7315857,5316590,3265691,1919544,1919543,2999013,4965438,7823631,4967700,3000412,1742431,1742430,2999366,2999369,3220369,3220364,3186337,3186341,5223238,8151857,5223121,3186265,3186263,3183533,1863162,1063036,597555,333050,333049,597546,1063009,1863112,3183463,5218683,4676493,2817322,2817324,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327 Dl.O(d2) = 268316138,29491620,255297392,254585939,3262704,1919174,1919171,3265178,5315990,8221905,8177496,7831400,4971152,254554593,4966179,3225705,1891049,1891048,3225701,3251360,3251362,5300514,8193552,7328338,4629193,4629194,7328342,5248823,5248826,5291254,5271991,3226450,3226449,3195771,1875273,1603394,1603396,2766011,3229068,5256766,7831497,254520247,4619310,254760541,254837683,5283539,5283540,8212347,8220805,5290687,3242048,1902449,1902448,3225375,2775168,1609811,915912,915911,1609808,2775166,4609513,7305088,7318096,254575315,3241983,3241982,5290629,8220765,11019129,11019128,7316578,7316580,11034461,7309276,7300180,7300181,8229844,5301126,5277857,5277859,5016818,3034836,1766361,1766362,3034843,5016833,7895897,8211049,8152836,7895852,7323863,7319184,4620943,2782550,1614045,1614044,2782542,1615380,1615382,2783478,1614554,1614558,2783491,2998871,2998869,2783588,2783590,1883964,1883962,3215757,4618552,2781037,2781036,3161371,3161374,5181364,7317761,4619670,4618922,4618918,7316796,4966652,2999749,1742096,1742093,2999738,4966632,7825151,8154193,10819020,10819017,7818610,4960724,4960727,4682774,4682776,3000494,2711968,2711969,4513279,5265101,5224011,4512920,2711770,2711767,3357565,5461091,4622418,2783471,2783472,254520525,8182747,12152276,8235454,7315858,7315857,5316590,3265691,1919544,1919543,2999013,4965438,7823631,4967700,3000412,1742431,1742430,2999366,2999369,3220369,3220364,3186337,3186341,5223238,8151857,5223121,3186265,3186263,3183533,1863162,1063036,597555,333050,333049,597546,1063009,1863112,3183463,5218683,4676493,2817322,2817324,4676497,5224190,8153193,8148363,5220231,5220233,5220281,7311189,4967605,3000373,3000374,3184531,3184530,5220371,4964679,4964680,3184984,3184985,3234651,5268093,4965386,4965387,3051209,3051205,2888797,1676632,1676633,2888745,2888742,4792364,5304103,5304100,4737103,4737100,7493889,8151282,8195278,5265326,5265327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079235, s2 = 12247012, dlinesl.size( ) = 2 s1 = 14079235, s2 = 12247012, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14079235, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15092057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11012391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12247559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16008128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16361695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16361695, s2 = 1056763, int(edited[s2]) = 0 s1 = 16361695, s2 = 1056763, d1 = 11, d2 = 12 Dl.O(d1) = 23180521,30599229,39195913 Dl.O(d2) = 26964858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16361695, s2 = 1056763, dlinesl.size( ) = 26 s1 = 12248193, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 423640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12248609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12248697, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12248903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12248903, s2 = 11654858, int(edited[s2]) = 0 s1 = 12248903, s2 = 11654858, d1 = 15, d2 = 13 Dl.O(d1) = 399975,223796,223797,399978,708710,1246872,2155153,3609897,5789993,8652830,12733766,17968715,24364272,31892168,40600899,32030255,24467977,24467978,257154471 Dl.O(d2) = 272345617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12248903, s2 = 11654858, dlinesl.size( ) = 20 s1 = 12482060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10986243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986243, s2 = 7134285, int(edited[s2]) = 0 s1 = 10986243, s2 = 7134285, d1 = 7, d2 = 41 Dl.O(d1) = 2094802 Dl.O(d2) = 263054778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986243, s2 = 7134285, dlinesl.size( ) = 12 s1 = 11224473, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15093822, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15093822, s2 = 11053208, int(edited[s2]) = 0 s1 = 15093822, s2 = 11053208, d1 = 15, d2 = 7 Dl.O(d1) = 18539573,13173181,8979859,5862783,5862784,3660305,2189999,2189995,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011297,8601100,8601099,5589224,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840224,11742974,267840186,14999023,16554822,18736390,18736388,15594909,10788271,7127828,4487451,2695996,2695992,4487443,7127817,10019596,10019594,14560911,254616294,26214932,26214931,34075663,27259714,27259713,22770101,16556065,11539852,7677265,4857805,4857806,7677267,11539855,16556071,22770107,23831825,25277245,18704723,18664132,13272428,9057273,9057274,10043983,6601675,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473540,2696650,2696649,4488698,7130097,10792109,15600336,17334890,12209353,8240561,5312516,3262150,3262152,5312522,8240572,12209371,17334931,15067851,14607333,14607332,20343754,14601322,14601319,20343749,27279314,20986829,20961204,15051841,15051842,20961206,20979599,15067833,15067834,20979600,267909890,31064643,28101224,23652952,17335868,12210099,8241027,254220300 Dl.O(d2) = 15016998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15093822, s2 = 11053208, dlinesl.size( ) = 20 s1 = 15239854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12249719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12249719, s2 = 16192858, int(edited[s2]) = 0 s1 = 12249719, s2 = 16192858, d1 = 17, d2 = 12 Dl.O(d1) = 119777075,259496282,150359890,137319013,258643894,109395761,123587584,123587590,109395765,258643896,137319014,150359891,146783128,146783129,259889320,137319008,150359887,150359876,137318994,123587569,123587568,137318993,146783131,146783132,159158529,170500710,180637040,189540007,197232632,203794251,201466327,194464718,186291109,176915303,176915304,166316619,154596119,154596120,166316621,176915309,186291116,184652715,262452346,164257040 Dl.O(d2) = 13121651,8943561,5838201,254636509,13121637,18469802,24993708,32669793,41562995,51849908,63642570,76733812,81154827,67689290,55349628,44503391,255267862,21494576,15488407,10710481,10710482,15488411,21494585,16898279,12256307,12256308,17392152,17547785,12377908,8364266,5398567,5398566,5398558,5398559,3321218,3321216,5401863,8362994,8362996,12375963,13499918,12436424,12436422,12246551,8379768,8379767,8405286,12436547,12272512,12271194,8286504,5345778,3285398,3285396,5345771,8286480,12271159,17412205,15295571,15295568,17413295,17413296,17538597,17914155,16898003,11825458,11825454,254720628,23047349,255957141,39044468,48965789,60360999,73099380,71847223,59108534,47710485,37789492,29227503,21911408,21911409,29227505,33408382,28350450,28350449,28351124,28351126,268149446,21137547,21137007,15186823,15186822,21137005,28350446,36846114,46728986,58100957,70818064,84376952,98286337,258791417,60049305,48652836,48652837,60049308,52571638,42210945,33248999,33249000,25673206,25673209,23010632,23010633,21470784,21470785,26227780,21958175,15865865,10996608,10996605,11288682,11288685,16237419,15602313,15602311,21633616,16464820,16464823,19836595,19836592,22556570,26650224,22396159,22396158,29756625,22396204,22396207,29756832,29339914,22008360,22008359,28061709,20891242,20891240,28061701,24190574,24190575,31698628,33248996,42210947,256393706,46436203,36571575,28100221,20924500,17647064,12474255,12474256,15148075,11952472,11952471,9206933,6027632,6027631,9206966,13463461,10439612,6882121,4320114,2584043,2584044,254327821,1488534,1488535,2583421,4319440,4320112,4329954,2591657,1494532,1491237,844360,476476,476475,844359,1491235,1488482,1484370,839636,839637,1484371,2577129,2583436,2583434,2583433,4319448,4331551,4319391,2583368,2583367,4319388,4330397,2590793,1493749,846095,846097,1493754,254328247,6887520,10447715,15148582,15179835,12371481,8359689,8359690,8272559,8272560,12248790,17382128,18957074,21393353,21393354,23745484,17420223,12278119,12278118,17420218,18970996,17568247,13503869,13503870,17389514,23436480,21300022,15332069,10589296,10589295,10557062,9249199,9249198,8282599,8282601,12264810,17403562,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931126,3283520,5342257,8280053,12260571,17397845,21124601,21124600,23901153,24260645,24218946,24218947,31725614,30772951,23349517,17082292,11994561,11994560,17082291,23349515,30772948,39373858,256310600,269845795,129067163,142442223,155086856,261640454,186660256,194778246,200210470,193021860,184643474,184643473,193021858,264172249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12249719, s2 = 16192858, dlinesl.size( ) = 2 s1 = 12249719, s2 = 16192858, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12249719, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 16192857, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12249785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12249785, s2 = 11008012, int(edited[s2]) = 0 s1 = 12249785, s2 = 11008012, d1 = 11, d2 = 13 Dl.O(d1) = 29940640,22577608,22577607,29940639,23668326,17349999,12222262,12222263,17350001,23668327,31156198,34969064,34969065,31156208,23668339,17350010,12222267,8251944,8251943,12222265,17350006,23668334,31156203,39838962,254453648,20009017,20009016,26889966,31156239,39839010,49862506,39839023,31156252,255283852,8488974,5490011,254605337,12527299,17709488,255908605,16226111,16226112,22384041,29743282,38311938,38875710,48797998,256371058,58797911,58797912,60194805,60194804,72934113,61349385,257053767,39844637,38312019,256947561,59608710,48798053,38875760,30289886,22891652,22891651,22891663,16662132,16662131,22891659,30289897,38875776,48798072,258180995,84958064,74131215,61349365,49867276,40258044,40258043,50279045,59608701,48221907,48221908,49867234,49867232,61349335,257054662,268437216,23687475,31176395,39859106,49882262,48221922,47993505,47993504,40258089,31570677,31570675,255650280,32163033,38311973,29743315,29743314,30175141,31161934,31161935,39844641,49867303,58797995,49867144,39844456,31161794,31161795,39844460,47411043,47411044,37503614,28960552,21678722,15639499,10822557,7152367,4504130,4504131,7152376,10822571,15639529,21678773,23673392,17353964,12225216,12225217,17353958,23673379,268538182,24065017 Dl.O(d2) = 40258066,50279055,59172729,49862451,256371068,256447435,22891663,16662132,16662131,22891659,30289897,38875777,40258027,39844423,31570643,29207000,29207002,24064964,24064963,31570588,40257991,49867321,50279008,40257983,256403836,24064954,31570577,39980826,48221912,38312007,38311948,29743288,22384043,16226113,16226112,22384041,29743281,38311936,37850862,37850860,40397417,31705399,25339229,18759281,18759282,21948864,29271691,37837892,39844658,39844659,38311907,38311906,30175109,22786381,16570593,254794473,4863224,254243719,1699769,2930518,4863231,7685836,11551698,7741062,4901580,4901581,7741070,7582130,4803872,4803873,4899906,2953402,2953400,2950855,2950856,4806718,4806719,4821414,4821415,2948936,1710220,1710219,1709976,971917,547360,306510,169682,169683,306671,547465,972145,1710433,2232981,1294990,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4803749,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685741,2906110,4806300,5965031,5965030,9116785,7610735,7610733,4815686,2902092,1683565,1683566,2902101,4815706,4901351,7611741,9116989,9116987,10347426,6812830,6812831,4892806,4892803,7729327,6812908,6812906,4894568,4894570,7731631,9955666,6543260,6543262,7586177,4798314,2956565,1714340,974070,974069,1714338,254366963,7746243,11628745,16662119,22891640,30289874,38875731,39987071,39980793,31305696,31305697,39980795,49997467,51114407,40972207,40972208,51114408,49997471,49997470,49997463,49997464,61475096,256991642,74254578,61476467,61476466,74254577,87858773,85080914,85080915,89458006,75692664,71103116,58386361,58113434,58113433,67683045,55343321,44496967,35119528,35119527,44496965,44496796,257913199,71508796,58779497,47392373,256534648,28943066,37484845,35119508,27032585,20139739,14445693,9937864,6531760,6531759,9937859,14445679,20139705,27032528,27032540,20139714,20139713,27032537,35119430,41288045,32448327,24813125,24813124,32448325,36485623,28023537,28023538,36485624,46342394,46445070,36579835,28107755,20931304,20931302,28107751,36579832,46445063,37484843,28943065,21664396,255851827,37484841,39848908,35119387,256747801,53362066,50619244,50619245,62119121,258646160,36991390,46522436,53362061,42895992,33851018,33851017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12249785, s2 = 11008012, dlinesl.size( ) = 8 s1 = 11205123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205123, s2 = 11477652, int(edited[s2]) = 0 s1 = 11205123, s2 = 11477652, d1 = 37, d2 = 38 Dl.O(d1) = 258635510,6738762,6738763,10255319,14914536,254913754,254913752,27990293,27277643,27277642,35403778,28894302,21618400,20839526,14940195,14940194,20839522,15598723,15598728,20984336,24677650,24677651,20979888,15068040,15068041,16517103,14606709,10289401,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,14933947,10270443,10270445,14933920,10270429,10270332,7066187,7066185,10270143,6748993,6748992,10270181,10783201,11513975,7659205,4846045,2920208,1693951,1693952,2920210,4846051,7659219,11513992,16521238,22726486,30107449,33002759,41944547,49847169,39823257,31140486,23652967,17335886,12210118,12210117,17335885,17334899,12209370,12209371,17334931,15067851,14607333,14607332,20343754,14601322,14601319,20343747,27279310 Dl.O(d2) = 259868834,264932459,221359040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11205123, s2 = 11477652, dlinesl.size( ) = 32 s1 = 14274604, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14274604, s2 = 14332697, int(edited[s2]) = 0 s1 = 14274604, s2 = 14332697, d1 = 23, d2 = 19 Dl.O(d1) = 23768235,23768236,31252436,39927657,49945216,61423102,55410644,44562915,35184575,31711848,31711849,40403935,50437933,61928435,64125955,52276714,41937808,256512038,40136529,31455143,23961102,23961103,31455146,40136535,50159489,47673069,37750779,37750778,37750780,30826743,23399070,17127017,12036255,254399220,12260737,8280148,8280147,9252205,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197375,6961658,6961659,6961128,6961125,10554438,7134370,4491675,4373088,2619707,1512353,857454,857449,1512338,2619674,4373011,6066355,6066842,9238158,6050408,6050407,6050400,6050370,4376850,4376851,5195799,3170167,1855971,1855970,3170073,5195592,8109531,5199272,3171979,3171983,5199277,5345905,3285489,1932194,1932195,3285492,5345912,8286702,9262454,6066586,254654677,9245629,12052759,12052761,10533955,10533956,10925119,10925117,15772683,15772711,15772710,21842440,28459284,23427104,17149476,12052941,8103514,5192100,3168252,3168253,5192104,8103522,12052956,17149490,21266367,21266366,28483304,36980407,46858969,257780682,72451105,59714471,48327944,48327945,59714472,72451108,86049833,100013125,259022322,260266156,114951133,100898411,86917807,84385478,70828046,58113042,52087539,41773822,32853074,25146241,25146242,32853076,41773823,52087542,63906672,77018209,77018199,77018200,90898046,105078027,105078059,90898075,77018234,63906696,52087558,41773833,32853084,25146246,18590192,254748732,32853088,41773838,52087563,49164254,39237444,39237443,49164250,58922485,58922484,71643570,85208843,99131624,86917803,259451053,114951125,128851624,139271122,139271123,139271128,125921648,112087172,112087171,125921634,112087151,98126839,84231786,84231787,259486306,269863978,86057858,86057857,98126900,98126950,84231855,84231854,84231813,70678696,70678695,58823068,57960291,57960292,57960312,270279885,84231852,84231849,257096344,84231857,257679656,57960310,70678722,57960285,57960284,58725025,70678769,70678754,57960320,46583883,46583884,57960322,70678755,84231869,98126945,84231847,70678736,57960300,57960301,258641855,84231837,84231836,98126939,98357036,259904365,85565445,85565444,85565450,99512480,99512481,113524136,257679654,95319587,81259505,73512475,73512474,67790845,55448200,44598954,35218193,35218194,44598956,55448202,67790848,58868252,58868253,67790834,72085898,78685853,65381214,256345502,76997834,63887731,52069866,52069865,58667609,58667608,58768546,58768545,51905597,41605813,32702676,32702677,28932561,21655023,21655022,28932560,37474042,30064625,30064626,38639169,38639171,257552401,63712205,51905617,51905616,63712204,76813207,90681665,98143740,111851561,98143801,84250229,70698464,57980556,46603353,36715194,36715193,46603350,258019161,84250218,71584556,71584555,85152605,99076739,112102585,98143780,98143760,84250181,70698400,70698401,57980514,46603317,36715174,257409083,70698414,258354558,256218573,44442281,55286215,67624096,71793140,71793141,85381926,257678914,86268261,72668020,72668021,86268264,85070218,85070219,268689524,61909036,50418581,50418582,61909037,70810613,58093265,256825862,73474497,258015606,259270999,98152285,112111790,99444148,85502233,71916786,71916785,257568788,84262300,73080989,60341277,48944357,39021309,39021308,48944354,60341271,73080981,86685035,77278406,77278405,91198612,255936102,60060117,48663177,38741536,38741537,39494102,34660059,26667823,26667822,28038645,36501921,46359955,47082471,39248338,39248337,49173518,48663406,48663407,60060307,255936100,256979148,109866864,98913876,257997638,58680866,58680867,71414615,84988509,98913883,112901810,98913856,84988482,84988481,84988479,84988478,98913806,84988436,84988437,270376346,126754374,112901805,98913846,84988505,84988504,95312162,81251250,81251249,95312158,83902681,257265998,111677798,125479030,258477988,257265988,109568931,97917254,84046336,84046338,269143044,84345432,70786543,58069109,46696879,268321876,70678001,70678000,65905575,65905574,79267836,93394231,81604825,257860630,38759644,38759643,48681312,55719762,256185946,81604829,84231316,85088817,256705822,98126542,88159657,74545096,61761724,50282262,50282264,52455838,42103336,33149116,33149115,42103335,257507412,67589231,255076632,40158573,31474198,268400026,50183104,61667587,74451023,256385130,67589247,55247509,44399487,44399488,55247500,255889146,67589228,67589229,81056741,85545183,72429201,72429202,72429191,59693450,48306469,38395804,29875216,29875215,38434371,48338266,48306474,47820634,256761964,71957287,64092503,52245091,41907986,32968608,25246468,18675909,13283289,9066931,9066930,13283287,18675903,25246455,32968582,268987632,64091117,52243578,41906328,32966939,255718320,9066375,5928378,3706880,2220008,1287902,1287906,2220023,3706919,5928468,8736441,5816568,5688086,3538436,2106294,1254133,1254136,2166971,3628322,3628321,5816585,8737470,8737473,12848918,18118192,18118191,22117250,22117251,29450949,24555703,23221069,16948094,11861555,11861558,16948103,18674427,13362794,9132406,5976326,5976325,5976350,9132388,13362767,18765669,18673974,13281952,13281951,18432868,18432867,24947974,23348231,23348229,30771467,39372015,32136881,32136880,40914633,37521780 Dl.O(d2) = 256927250,87179257,91152386,105370161,258117300,105370162,119600409,133464047,128037223,271331026,259254276,97967175,97948978,97948977,84093611,84093610,91236136,97948970,97948971,97967172,84093621,70557264,57855770,57855763,57855766,61428996,269493098,61428997,57855768,46499772,46499773,258638957,87810616,258252519,49951425,61428955,61429011,258252533,74207442,74276767,87810632,101782812,87810608,74207434,74207433,77778135,64595437,64595436,259043083,102361681,88365074,74736466,61942144,50450797,50450796,49103141,39172845,39172844,39172850,39172849,49103146,60507243,49103144,39172848,30575060,30575059,39172846,39172852,30575062,30575063,39172853,49103149,60507250,73254224,70949290,256871214,49103155,39172857,39172856,30575066,23157837,23157838,30575068,39172858,49103156,60507266,60078411,48682164,48682165,60078413,72815686,84512896,70949291,58232075,46864153,46864152,48773899,38854020,30269822,30269821,38854019,48773897,39173737,39173738,49104010,60508104,73255046,70370275,57678478,57678479,70370278,83894801,72807318,72807317,86402787,72815697,60078423,48682173,38760523,38760524,48682177,258170655,60069682,48673377,38751663,30168505,22779452,16564116,16564115,22779450,30168502,36912051,36912050,257422319,29950386,29950385,29939319,22576343,16415131,16404060,11420165,11420164,16404058,18786445,16655878,11623419,11623418,16415133,16415132,22598142,29962662,29988554,25526997,18917470,18917471,256133401,31502728,25265500,25265499,268200966,20909439,15004220,254327534,14936137,12005111,12005110,10334284,6802046,4265706,2550363,2550366,4265711,6802053,254552031,2973647,2973650,4929809,6756050,4854615,2925467,1697013,964946,964943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14274604, s2 = 14332697, dlinesl.size( ) = 2 s1 = 14274604, s2 = 14332697, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14274604, Dl.E( ) = 24, 1.5e-05 seconds used appending s1 = 16312311, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11352159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8495494, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11254659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254659, s2 = 11454382, int(edited[s2]) = 0 s1 = 11254659, s2 = 11454382, d1 = 23, d2 = 45 Dl.O(d1) = 271860442 Dl.O(d2) = 262753692,191553813,182910019,173012398,173012399,261765568,261765570,173012400,261765572,198982800,263187280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254659, s2 = 11454382, dlinesl.size( ) = 30 s1 = 11235035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235035, s2 = 11560166, int(edited[s2]) = 0 s1 = 11235035, s2 = 11560166, d1 = 19, d2 = 56 Dl.O(d1) = 80352673 Dl.O(d2) = 230004609,265559862,231424975,265861782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235035, s2 = 11560166, dlinesl.size( ) = 34 s1 = 12251243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12251243, s2 = 13995827, int(edited[s2]) = 0 s1 = 12251243, s2 = 13995827, d1 = 9, d2 = 0 Dl.O(d1) = 16851325,23109776,30527804,39126267,49056433,60460264,62648898,51022986,51022985,62648896,70501154,70501153,258978106,75591326,75591324,86820240,100801501,114853015,261235153,144602589 Dl.O(d2) = 84111845,70575570,70575571,84111846,84111851,70575577,70575578,255612302,37806264,37806265,47728191,59126620,71865031,85450000,99390820,85449996,85449995,75627705,70575574,63003162,51323687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12251243, s2 = 13995827, dlinesl.size( ) = 14 s1 = 12251577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15894550, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14067799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14067799, s2 = 14080017, int(edited[s2]) = 0 s1 = 14067799, s2 = 14080017, d1 = 43, d2 = 59 Dl.O(d1) = 48930420,47825010,256374708,29334732,256917077,59222972,70440028,270274057,86473710 Dl.O(d2) = 257762814,71278710,256947486,58894443,255469034,37609871,255890710,268400420,67582369,257509316,257173682,67582368,67582369,71278709,58547270,58547269,67582368,67582369,257509316,256619162,47159019,37254233,28723283,254639280,10694069,7065066,4448297,2672489,2672486,4448287,7065044,8128019,12086771,17189375,12823038,8718204,5674899,5674901,8718209,12823049,12823068,12823070,8718231,5674910,5674911,8718238,12823112,18087680,24518845,24411748,24411749,18003406,12759285,8671599,5641726,5641727,8671612,7698694,4872479,4872477,7698687,11566663,9680724,6367222,6367221,9680719,8671569,8671571,12759230,18003303,24411695,21861444,21466956,15465829,11785749,11785750,16852324,14075287,9680705,9680706,14075290,19638622,24412039,19638842,19638843,18087578,255169052,32093515,28723088,25672665,25672664,33442963,42435843,48702136,38779710,255643208,37255703,28724198,21467491,21467492,28724200,31959911,26371994,19638925,14075466,9680799,6367264,3995301,2394278,2394276,3995288,6367239,9680752,14075374,19638767,26371754,32808661,25106464,18557165,13185946,13185948,18557172,25106477,32808684,26371419,19638560,14075258,14075257,19638555,26371410,34248347,43348485,53873767,54611986,53121138,53121137,53121272,42670104,33640871,256673397,48519302,53121266,42670085,42670084,42669898,42669897,43869352,34599074,26612012,19804002,254963067,9751689,14185493,19803997,26612001,29203865,21890865,15813621,10958665,10958662,15813614,21890860,29203857,30586577,37764989,30585705,29202769,29202770,30586810,29203960,29202102,29202106,21889928,21889929,29202740,21891460,21891461,29203729,29202487,21889755,15812860,10958238,7253245,7253246,10958239,255433949,29202497,21892078,15814498,254753999,4574469,4574468,4574383,3041996,3041997,5025759,7906535,7253737,7253736,10959158,15814382,11830007,11830006,255965905,16906215,11831174,7906566,5025775,5025774,7906564,10958543,10958542,12544786,17731411,16906146,11831136,11831137,16906151,15034277,10361830,7253215,7253214,10958178,15812755,16905701,11830801,11830800,10958522,7253381,7253380,10958517,15813345,21889481,21890220,15814085,15814084,21891516,29204497,29204496,29205269,21892066,21892067,29203015,21890109,21890108,29203014,29079516,21781546,21781547,21400537,15414066,10654876,7035772,7035774,10654882,15414079,11830849,11830847,15414334,19051165,13600124,13600123,19051163,18918052,18918051,25527668,33288019,37157120,37157121,33442975,25672678,25672366,19051386,13600260,13600259,19051384,25672363,21890182,21890183,28641564,33442568,29203046,25672355,25672333,19051364,13600245,13600246,13600254,13600253,15764314,10917666,10917664,12083157,8125413,8125414,5861997,3659682,2189514,2189513,3659676,5861988,8978792,13171638,12379436,11023463,11023465,15901013,15901003,15901004,21098546,15155241,10451838,6889893,6889894,10451841,15155248,21098597,18537535,13171782,13171781,18537533,25081087,32778516,41694765,41694766,47198454,41694565,32777573,25080266,25080267,29489344,29489343,29715785,255467659,16207256,22359878,29715784,37995075,41695701,32779255,25081904,25080303,18537000,13171473,8978705,5861953,3659661,3659660,5861947,8978698,13171450,13171449,18536971,18538037,18538517,16446627,16446626,22634293,30003983,26407836,19673069,14102669,9699807,8978906,8978904,13171841,10246335,10246338,14902360,20794831,22359865,22359866,29715771,36414398,27956229,20794769,14902316,14902315,18538013,13172060,13172062,18538021,16155889,14895051,14895050,18537157,18537156,25080532,24245762,17869270,17869271,24245768,27956255,27956256,25081418,21178007,15217846,12654297,8591546,8591547,9699855,9699854,8978715,8978714,9699813,14102685,19673093,16011250,16011249,15505565,15505564,21516268,25080556,20120304,20120303,18538454,18538453,20905795,18538465,13172361,8979179,8979178,13172356,10246410,6732320,6732321,10246413,14902464,20782074,20782075,27934843,20782869,17986710,17986711,18538163,13172145,13172144,18538160,25081572,18537895,18537892,18879667,16209725,16209724,22363115,29719335,33236039,25691033,254360986,9320743,9320744,13611987,16808880,13568618,13568617,11754149,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,18878997,25481292,31313640,23824607,23824606,23823761,17486963,17486964,23823763,27277440,22125694,16011286,11116268,11116269,16011289,255887083,27935824,20782840,14895498,10242287,6729872,4216554,4216557,6729878,10242036,14895035,20782151,27934947,27012453,27012454,20782918,14895536,14895535,20782913,20794882,20783094,14895653,10242361,6729909,4216576,2521009,1452741,1452743,2521015,4216586,6729932,10242403,11116266,10242183,10242184,14895199,14895200,14895254,10242145,6729803,4216521,4216523,6729809,10242159,13372025,14895608,13680556,13680555,14895012,20782112,15568305,15568304,14895468,10242274,10242276,14895475,14895512,20782863,23824514,23824515,27935830,21595048,15568158,15568157,21595040,27935660,33438520,25668926,19048568,19048570,20783090,17332856,14895156,10242095,6729774,6729773,10242090,14895143,20782335,14895680,10242370,10242369,14895672,20782756,20782755,20782450,20782452,20782194,20782193,27935000,32322129,24707498,24707496,32322125,27936063,27935847,27935848,27935498,20782551,268369153,36379884,46210423,41408168,32550067,27936024,20783032,20783033,27935827,21072307,21072306,27935773,36380108,38365871,41408169,32550068,24900600,18397610,18397611,13149575,13149576,18507851,15236475,10510767,6931109,6931112,10510774,254619292,27935066,36379500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14067799, s2 = 14080017, dlinesl.size( ) = 16 s1 = 16209898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15096459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15096459, s2 = 15266826, int(edited[s2]) = 0 s1 = 15096459, s2 = 15266826, d1 = 3, d2 = 0 Dl.O(d1) = 88156207,102146848,116207915,261309071,128153004,114268356,259409203,86271082,72671059,59931353,258160279,84996072,270335608 Dl.O(d2) = 30502161,23088309,16834606,11772555,11772556,16834609,23088313,30502166,39098136,49027100,60430747,73177633,259136328,257888374,60430751,60430750,256726370,30502169,23088318,254965542,7859874,267985671,255515227,30502173,39098138,49027111,60430762,60430744,258193669,86790160,259939743,100771105,86790173,73177638,60430754,49027106,49027107,60430756,73177641,86790179,100771109,94411439,80357424,80357425,86790158,73177627,60430743,60430742,73177625,258507458,60430760,258193673,86790187,98920866,108698318,122963266,136793456,142082639,154721813,272881211,166432795,154721811,154721812,166432796,154721817,142082640,261779761,166432801,166432792,154721809,154721808,166432790,177019167,166432793,166432794,177019163,177019162,186380087,263588353,194539717,263015768,177019174,186380095,194539720,194539715,186380093,186380092,186380098,273555830,191244335,182563406,182563405,186380090,194539712,191244332,191244331,190116962,190116963,194539721,186380097,186380096,182563383,172636541,172636542,161459948,149173427,149173414,149173413,149173415,135949424,122021897,107647438,107647436,122021880,122021881,122021903,122021911,122021910,135949438,272430353,172636569,261750926,260627028,135949411,122021899,107647440,93244635,79128919,65773614,53716219,43203876,43203877,257853887,79128920,93244636,107647441,122021902,127939616,114059539,114059540,114059548,100032604,100032603,114059543,100032598,86069192,72470634,72470633,86069190,100032593,86069198,72470638,59734956,48350897,38448689,29891975,22537214,22537213,254789830,38448674,29891967,29891968,255107036,37390015,47299106,58689785,71422836,84996073,98920862,112908376,126760872,140110116,152803520,164641404,175402862,184951162,193288603,200444367,263875712,209491902,204053939,197535676,189880649,181003068,170883824,159555704,147196441,133973649,120131684,105919579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15096459, s2 = 15266826, dlinesl.size( ) = 2 s1 = 15096459, s2 = 15266826, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15096459, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 15266825, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12252175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10687074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11073901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11073901, s2 = 15240122, int(edited[s2]) = 0 s1 = 11073901, s2 = 15240122, d1 = 69, d2 = 88 Dl.O(d1) = 255292655,9494593,6227124,6226733,3898232,2334598,1353150,771817 Dl.O(d2) = 31383956,39874999,39874998,42514679,47734155,37811996,37811994,259348677,113397783,127256291,136558867,122657057,108317407,93963448,79874377,66472778,54296234,43647483,256253840,54296235,54247915,48644930,38724386,38724382,43617394,34433168,26505369,19756715,19756718,26544375,34505925,34343296,26456808,26456810,34343303,34492893,34492897,43718923,41431849,41431852,44115032,44115029,54927630,65732678,65732676,79088277,73734438,66652501,54431885,51995070,41683843,32767660,25070837,25070834,32767684,41683895,51684508,41437553,41437548,49439460,49439462,51684368,41437781,41437783,41434943,41434940,51680493,45756651,45756647,56954809,58441938,64963851,78231873,79825439,93700577,93700578,87427506,258596560,259096844,54578096,54578095,66837317,66995817,68259339,55827688,44892792,35449190,35449192,34880973,26823410,19957911,19957914,19955776,14289508,14139405,9830801,6457983,4047982,2423365,2423362,4047972,2423856,2423853,4049759,6449632,6449629,9815885,14286732,19950154,26811409,34865705,31880562,24354909,17961336,17961333,24354808,24354535,24354533,31879812,34339230,26454937,26454941,34339333,34934014,34934017,34492015,34492013,30966188,30966191,30943016,23496980,23496983,30942991,39565295,34907295,26841970,26841973,34907307,37755956,29194675,26463686,19715844,14134901,9723523,6396140,4013679,4013684,6396068,9723353,9724130,6396500,4013875,2405449,1391914,1391918,2405420,1392308,1392311,1392285,791774,791777,1392410,2406356,4015476,6399474,9730068,14148346,19743099,26516370,26564261,26564262,34542521,34609408,26620841,19810949,19727313,19727315,19811051,19811050,18315198,18315197,18315520,13001204,8851277,5768711,5768712,8851283,13001218,18315550,24801807,32432113,41264503,51471152,54310144,43656779,34457954,26519058,26519059,34457926,34358819,26464855,26464852,34358847,43488695,41557107,32665581,32576047,24919513,18411203,13077122,13077119,18411189,24919480,32575950,41441988,51691362,63440229,76486741,80266983,66837316,54578092,54578091,66837314,80266982,80417701,94477030,108768974,258467518,80418109,259140415,270719634,62129177,62129176,74936400,258926673,62132758,50629370,50629372,62132760,61155771,270373279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11073901, s2 = 15240122, dlinesl.size( ) = 20 s1 = 15097046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15097046, s2 = 10505819, int(edited[s2]) = 0 s1 = 15097046, s2 = 10505819, d1 = 26, d2 = 23 Dl.O(d1) = 254290264,9153548,5990530,5990529,6161781,3855479,3855478,6147457,3846724,3846725,5987354,9149297,9565248,13934830 Dl.O(d2) = 65574451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15097046, s2 = 10505819, dlinesl.size( ) = 2 s1 = 15097046, s2 = 10505819, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15097046, Dl.E( ) = 28, 9.06e-06 seconds used appending s1 = 10505820, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11292581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15097216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15097216, s2 = 11123930, int(edited[s2]) = 0 s1 = 15097216, s2 = 11123930, d1 = 0, d2 = 24 Dl.O(d1) = 33486825 Dl.O(d2) = 270277162,6952482,6952480,10542150,15275820,11824267,7902055,5023034,3040413,1770521,1770520,1009159,568728,318530,318529,568725,1009144,1770686,3040668,5023470,5408192,8380248,10526379,15257577,268379845,17159675,21231974,22759574,17164946,12068731,8115540,5199701,5199702,8116261,10544416,10542728,10542729,13532265,9262309,6066481,6066482,6968786,8112552,8112555,10697405,12064812,12064465,8112204,8112205,9254245,9254244,9259948,6064879,3794670,3794671,3794805,6065115,6973614,10572587,10536337,10536338,15269331,13536319,10797863,7134445,7134444,10797859,15607317,255595014,17150484,15258048,10526768,8103403,6053674,6053675,5403440,3322130,1954037,1316450,751201,426838,241013,133331,133330,241005,426815,751151,751839,1317751,2272238,3790127,6057216,9248729,13516163,255671781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15097216, s2 = 11123930, dlinesl.size( ) = 26 s1 = 12484484, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11475457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475457, s2 = 1700822, int(edited[s2]) = 0 s1 = 11475457, s2 = 1700822, d1 = 30, d2 = 17 Dl.O(d1) = 204368453,197909916,264082254 Dl.O(d2) = 53696525,43184671,43184670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475457, s2 = 1700822, dlinesl.size( ) = 52 s1 = 11168451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168451, s2 = 11223834, int(edited[s2]) = 0 s1 = 11168451, s2 = 11223834, d1 = 25, d2 = 39 Dl.O(d1) = 54660388 Dl.O(d2) = 17708230,12602187,8551964,8551967,12602195,12601110,8551309,8551310,12601114,17801248,254414310,10627880,10627879,15379525,21356786,28587651,29927536,31577982,31577981,268118012,31688350,255194924,48530043,38614148,38614147,48530042,44506395,41691672,41691671,52003329,255584040,270322651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168451, s2 = 11223834, dlinesl.size( ) = 20 s1 = 14886994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8156460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16309179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14885596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14885596, s2 = 15282984, int(edited[s2]) = 0 s1 = 14885596, s2 = 15282984, d1 = 0, d2 = 0 Dl.O(d1) = 28112572,20935777,15027677,15027676,20935775,15773056,15773058,19598089,26324822,29153641,21845036,268393701,29153665,29153664,37714227,34197021,34197023,43294639,36593003,36593004,34197599,256184509,26325099,256704409,43294393,257264319,65887293,258321438,71780787,59038678,59038679,58421429,58421430,71143159,79250870,79250869,79250945,65887352,53819468,53819469,53819608,43294608,34196979,256320822,37155723,47046554,58421434,49427518,49427517,43294472,43294473,39496285,39496284,47636818,47636817,59038846,60829746,60829745,53819612,43294610,43294609,53819610,65887482,256425892,38447449,29890801,255486404,34195956,268384028,34197504,34197447,34197446,26324680,19597967,14042330,9655207,9655208,14042333,14042500,9655326,6348878,6348881,9655334,6348895,3983470,2387422,2387423,2387424,2387425,3983475,3983409,2387389,254121408,786246,1382073,2387394,3983419,6348808,255304337,26324760,28707909,28707910,37238536,43293568,34195957,26324309,19597656,14042118,14042117,255423254,26324685,26324684,19598230,19598229,26324306,26325068,26325067,34197860,34197856,34197857,34196751,26324102,19597488,254956039,6348633,3983312,254462267,9654964,14041987,19597492,19597485,15454555,10685433,10685431,14042566,19597870,14042240,9655132,9655134,14042242,19597874,26323781,34196367,26324815,19598083,15454544,15454542,21453153,19598212,14042522,14042521,14042000,9654974,9654975,9654978,9655390,9655391,14041679,14041678,9655397,6348930,6348735,6348737,9655130,14042236,19597865,26324587,34197364,28707922,28707923,26323784,19597237,14041801,9654839,6348556,3983268,3983269,6348559,9654845,14041785,19597214,19598320,19597496,14041995,9654972,9654973,14041998,19597450,14041958,9654942,6348618,6348617,6348505,6348506,6348943,9655421,14042495,14042494,16604649,14041768,14041769,9654856,6348565,6348566,254956035,9654976,14042003,19597501,26324114,26323628,19597102,19597103,26323630,34196170,26323710,19597170,14041755,9654810,9654807,14041752,14041819,268162891,6348874,6348524,3983253,254462249,9654782,14041712,19597131,19597509,26323569,19597053,19597045,268039220,14041812,14041744,14041743,14041824,14041823,19597253,14041835,9654863,9654864,14041837,14041816,9654851,9654850,14041814,19597245,19597197,14041772,9654822,9654823,14041774,255304274,6348530,6348531,9654799,6348869,6348868,9655310,14042479,19598168,19597050,14041656,14041655 Dl.O(d2) = 28112572,20935777,15027677,15027676,20935775,15773056,15773058,19598089,26324822,29153641,21845036,268393701,29153665,29153664,37714227,34197021,34197023,43294639,36593003,36593004,34197599,256184509,26325099,256704409,43294393,257264319,65887293,258321438,71780787,59038678,59038679,58421429,58421430,71143159,79250870,79250869,79250945,65887352,53819468,53819469,53819608,43294608,34196979,256320822,37155723,47046554,58421434,49427518,49427517,43294472,43294473,39496285,39496284,47636818,47636817,59038846,60829746,60829745,53819612,43294610,43294609,53819610,65887482,256425892,38447449,29890801,255486404,34195956,268384028,34197504,34197447,34197446,26324680,19597967,14042330,9655207,9655208,14042333,14042500,9655326,6348878,6348881,9655334,6348895,3983470,2387422,2387423,2387424,2387425,3983475,3983409,2387389,254121408,786246,1382073,2387394,3983419,6348808,255304337,26324760,28707909,28707910,37238536,43293568,34195957,26324309,19597656,14042118,14042117,255423254,26324685,26324684,19598230,19598229,26324306,26325068,26325067,34197860,34197856,34197857,34196751,26324102,19597488,254956039,6348633,3983312,254462267,9654964,14041987,19597492,19597485,15454555,10685433,10685431,14042566,19597870,14042240,9655132,9655134,14042242,19597874,26323781,34196367,26324815,19598083,15454544,15454542,21453153,19598212,14042522,14042521,14042000,9654974,9654975,9654978,9655390,9655391,14041679,14041678,9655397,6348930,6348735,6348737,9655130,14042236,19597865,26324587,34197364,28707922,28707923,26323784,19597237,14041801,9654839,6348556,3983268,3983269,6348559,9654845,14041785,19597214,19598320,19597496,14041995,9654972,9654973,14041998,19597450,14041958,9654942,6348618,6348617,6348505,6348506,6348943,9655421,14042495,14042494,16604649,14041768,14041769,9654856,6348565,6348566,254956035,9654976,14042003,19597501,26324114,26323628,19597102,19597103,26323630,34196170,26323710,19597170,14041755,9654810,9654807,14041752,14041819,268162891,6348874,6348524,3983253,254462249,9654782,14041712,19597131,19597509,26323569,19597053,19597045,268039220,14041812,14041744,14041743,14041824,14041823,19597253,14041835,9654863,9654864,14041837,14041816,9654851,9654850,14041814,19597245,19597197,14041772,9654822,9654823,14041774,255304274,6348530,6348531,9654799,6348869,6348868,9655310,14042479,19598168,19597050,14041656,14041655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14885596, s2 = 15282984, dlinesl.size( ) = 2 s1 = 14885596, s2 = 15282984, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14885596, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 15282983, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14275052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11295827, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12254239, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11081679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15921917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14189176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12254621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12254621, s2 = 147004, int(edited[s2]) = 0 s1 = 12254621, s2 = 147004, d1 = 11, d2 = 12 Dl.O(d1) = 61204857,258857927,90884182,105063035,115583012,101547015,87584718,73984191,73984192,87584721,101547019,115583018,129468049,142789474,137505440,123781829,109592276,99362190,85419611,71831900,71831899,85419608,99362187,99362183,99362182,87584723,87584722,101547021,115583020,129468031,122210063,122210062,129468047,122210056,122210057,136172686,122210052,122210053,114360673,107805099,258784862,79256307,93383129,258161092,119255325,107805089,93383119,79256301,65893452,65893451,79256300,93383118,105062691,90883916,77005267,256459088,52076389,61354182,49872496,39850260,256946560,12229690,255552527,15708879,10874583,7189849,7189850,10576597,6976683,4383048,2625280,2625281,4352262,254493937,2607558,1504906,853108,481809,271164,271165,481811,853112,1504910,2607566,2609594,4356282,6933244 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12254621, s2 = 147004, dlinesl.size( ) = 2 s1 = 12254621, s2 = 147004, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12254621, Dl.E( ) = 14, 2.41e-05 seconds used appending s1 = 11435853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11435853, s2 = 11083788, int(edited[s2]) = 0 s1 = 11435853, s2 = 11083788, d1 = 22, d2 = 7 Dl.O(d1) = 260563154,259344320,127209837,127209838 Dl.O(d2) = 85406494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11435853, s2 = 11083788, dlinesl.size( ) = 24 s1 = 15098556, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15098556, s2 = 12969241, int(edited[s2]) = 0 s1 = 15098556, s2 = 12969241, d1 = 5, d2 = 7 Dl.O(d1) = 28604871,23771824,23771823,31256411,256514322,39916350,31260692,31260691,29187002,21875383,21875382,16017925,11121666,11121668,16017933,17631277,17631279,22133462,27093802,27093800,35182634,41043790,48042815,38129775,38129773,42463970,42463969,52867758,44592578,35211830,35211831,44592581,55442852,47822958,47822957,49098028,60501665,269528020,256674536,33317171,25555171,25555173,33317161,33317160,42297769,47736584,37814367,29249403,21928884,21928885,29249406,37814373,47736585,47736586,255890050,60350907,60350914,73090689 Dl.O(d2) = 100668971,114715363,128612111,114871143,114871144,128768246,142123188,271830535,100819912,256478160,256478154,49076470,60479583,73226072,86838701,257603372,114871145,260074710,261248600,186403434,194559287,273373358,263949338,264017574,263675468,199391871,272949998,162692841,150590541,260204388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15098556, s2 = 12969241, dlinesl.size( ) = 2 s1 = 15098556, s2 = 12969241, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15098556, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 12254689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11213357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15529364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15529364, s2 = 14275145, int(edited[s2]) = 0 s1 = 15529364, s2 = 14275145, d1 = 1, d2 = 1 Dl.O(d1) = 29390998,23540657,255155585,12114079,12114080,14411424,20100130,26989943,35074021,44448813,55293266,258529313,95154429,109409193,123601780,123601776,123601777,117433576,103297946,103297945 Dl.O(d2) = 29390998,23540657,255155585,12114079,12114080,14411424,20100130,26989943,35074021,44448813,55293266,258529313,95154429,109409193,123601780,123601776,123601777,117433576,103297946,103297945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15529364, s2 = 14275145, dlinesl.size( ) = 2 s1 = 15529364, s2 = 14275145, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15529364, Dl.E( ) = 2, 5.96e-06 seconds used appending s1 = 14275146, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10445600, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11040963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040963, s2 = 11085886, int(edited[s2]) = 0 s1 = 11040963, s2 = 11085886, d1 = 0, d2 = 13 Dl.O(d1) = 23471101 Dl.O(d2) = 28278811,21074459,21074457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040963, s2 = 11085886, dlinesl.size( ) = 14 s1 = 15240494, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11181967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181967, s2 = 11087968, int(edited[s2]) = 0 s1 = 11181967, s2 = 11087968, d1 = 8, d2 = 11 Dl.O(d1) = 256273750,22465359,254715692,254715694,11516699,7660915,4846999,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,7451145,11229257,9067485,9067484,13284134,18677012,254321996,10647618,10262130,6743502,6743503,7030182,7660693,11516332,16524297,257555785,256482972,100292044,258216518 Dl.O(d2) = 256626782,26129525,19434623,19434622,23593799,17281586,14610311,14610312,20354120,22365800,16211996,16211997,256945923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181967, s2 = 11087968, dlinesl.size( ) = 14 s1 = 8494156, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8494156, s2 = 13479948, int(edited[s2]) = 0 s1 = 8494156, s2 = 13479948, d1 = 70, d2 = 83 Dl.O(d1) = 271822419,255837770,16645034,16645035,22635966,16573634,13345426,9118728,9118729,13345429,13345431,13345432,16575436,16575435,16567646,11548938,7683509,4861612,2929558,1699288,1699287,2929555,4861609,7683504,5983512,3741509,2239896,1298917,1298918,1295464,1295463,2233945,3731416,5967098,7693926,254364195,1701620,1701621,2933970,4868984,7693937,4893480,2948992,2948989,4893474,7730224,9116869,7748697,4907299,2957846,2957845,4816968,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805361,4656748,4902817,2954994,2954995,4902821,7742674,10349566,10349565,7734284,7603034,7603035,11434987,7733181,7733182,11613554,254799661,254799659,1806625,254161475,894073,1572507,2713427,3084486,1800420,1800421,1806004,1806003,3091491,5043249,3056238,1781188,1015706,1015705,1781186,3056234,5045769,7935160,5048634,5048636,5045659,5045660,5078254,5042002,5042003,5049593,5048731,3058724,1782954,1782955,1016914,573189,320984,177558,177555,320970,573156,1014380,1022503,1573170,2714925,1573084,1573083,1779474,3054094,1806369,1806367,1792102,1024259,1024263,1792140,1024464,577284,322987,322988,321357,321358,573954,574007,321378,321381,322774,178397,98190,98189,178391,322755,576822,1013881,1013879,1778355,1797073,1025443,577808,577805,1025429,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802745,1779548,1014661,1014662,1779550,3054173,5043714,7933044,5077667,5077668,7968392,5070067,5070066,7968390,11865644,7930233,5041287,3052095,1777991,1777990,1795338,1795337,1024354,1024355,1786507,1018713,1018716,1786513,3064772,5058649,5077706,7957147,7957149,11887139,11887138,11881114,7942779,5051301,3060356,1784028,1017436,1017437,1779299,1014487,571839,571841,1014489,1779307,3053876,5043416,7932804,11868725,11931407,11931406,17015883,254385728,13190003,9167895,6000423,6000422,9167891,7943645,5051833,5051832,7943642,11882242,16970057,11926669,11926671,11942880,11942879,17027799,23286857,30690534,23338500,17072293,11983961,11983960,17072290,17098686,23246261,16980345,254165674,18821953,16990632,16968266,16968268,16954726,16954727,22969349,17024933,11939945,7991092,5086247,5086246,7991089,11939939,9609387,6311714,6311713,9609385,7946785,7790391,5050089,5050091,7940622,7962060,5064953,5061713,3066669,3066668,5061705,7947773,5054381,5054379,5053512,3061521,1784610,1017691,573589,573590,1017698,1784629,3061556,5053577,7946403,5078775,5078774,7941032,7941033,11878685,11884381,11213224,7440227,4701249,4701250,7440192,10834941,7162231,4510932,4510936,7162211,7162210,10834915,15153363,15153364,17016050,11934174,7986702,5083047,3082943,1799147,1799151,3082958,5083083,5464511,5464510,8457037,8070471,8070470,7984818,7947470,5054157,5054158,7947471,11887316,16962177,23233562,22284026,22284027,21709131,21709130,15667245,15667244,11403710,11403711,11927625,11924638,11924639,17010695,254383848,11880450,7942262,5051005,5051007,7942272,7979393,7979392,7946276,7946277,7985829,7985828,11933116,17017178,23275778,18926532,18926531,23272941,17011149,16984092,16984093,23248293,23599120,23247892,23247891,26253873,19535851,13988128,254568140,8070341,8070340,11932379,16965145,16965146,16968705,23239215,23245970,16979673,16979675,16380114,11876943,7939806,7939807,7940056,8071180,12013277,17099253,23241852,23241853,254178314,30658511,30658686,30658687,23272800,267901990,23248098,17023538,13988129,9609325,9609246,9609244,10834674,7935805,7935800,11872149,12154985,11872173,11872174,12363405,8354122,8354121,12363403,10834609,7162021,7162020,10834604,7974267,7945071,7945070,5066078,5066077,7963475,11906034,15654085,10835190,7162388,7162389,10835193,11885409,8350554,5389791,5389789,8350551,8350399,8350400,12358902,11913271,8184842,5254406,3210983,3210985,5254413,8184855,254782339,4784461,2883133,2883132,4784458,269321346,6972325,6972324,10570732,15278679,12054919,8104925,8104926,10539498,10539499,15269901,15277824,21244642,28466616,21260974,15297584,15297585,21260976,21265410,15303324,267962071,6973484,10572402,15308934,21270305,28486662,28467352,28467353,23437725,21268517,15307080,10570809 Dl.O(d2) = 201212082,194170538,185949700,176519910,165864544,261744823,261472954,86164074,72565840,258776869,86164074,261744825,271813053,259402117,86164079,100129888,114163619,128053310,141421807,154095471,165864555,154095452,262005518,100129885,86164077,72565843,59830368,48444063,258152993,86164079,100129888,114163619,128053311,141421808,154095462,141421801,261744827,165864568,176519919,185949708,194170547,194170544,194170545,194170549,185949709,176519922,176519921,176519913,165864551,154095448,141421795,128053302,114163611,259402115,72565841,59830367,48444063,258152993,86164079,100129888,114163619,128053310,141421807,154095470,154095457,141421798,128053305,114163614,100129885,86164077,72565843,59830368,48444063,258152993,86164079,100129888,114163619,128053311,141421809,154095473,154095464,141421801 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8494156, s2 = 13479948, dlinesl.size( ) = 32 s1 = 11105779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12255909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12255909, s2 = 9681986, int(edited[s2]) = 0 s1 = 12255909, s2 = 9681986, d1 = 5, d2 = 53 Dl.O(d1) = 64184532 Dl.O(d2) = 60120981,48726008,38805282,30221770,22829596,22829595,22082475,254765024,11090903,11582360,7709296,4878980,4878979,2940670,1705271,1705272,2940671,4880502,255498403,16610999,14109384,254678677,6384058,9705582,14109383,19680969,22216349,16084593,11170573,7410839,4682662,4682663,7410844,11170587,15396320,15396319,19501788,13958241,9583699,6290820,3940259,2358743,2358744,3940261,6290823,6290821,254459644,19501792,17076863,14164071,14164070,11350106,7541771,4770425,4770426,7541779,11350131,16313588,22485663,23345099,23346263,17079487,17079488,14163472,9737493,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018742,23346676,23346677,26578911,19776073,19776072,23345133,17078646,11991557,8043616,254823467,17078637,23345128,30768240,39369459,255561518,30308291,30308292,33962148,26124094,19429705,13901950,13901949,9740529,9740531,14168592,19773668,14163464,9737491,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,5134194,5134192,8043989,11992215,17079741,23345089,255912342,16866222,16866223,19781109,14168674,9740573,6405050,6405051,9740576,14168678,19781117,19776557,19776556,26576532,26585201,23344777,17078381,17078382,14165294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12255909, s2 = 9681986, dlinesl.size( ) = 44 s1 = 12486422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10707713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987383, s2 = 11096732, int(edited[s2]) = 0 s1 = 10987383, s2 = 11096732, d1 = 3, d2 = 9 Dl.O(d1) = 2311018 Dl.O(d2) = 441965,779087,1346452,1353175,254307427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987383, s2 = 11096732, dlinesl.size( ) = 14 s1 = 12256401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12256401, s2 = 6983197, int(edited[s2]) = 0 s1 = 12256401, s2 = 6983197, d1 = 66, d2 = 50 Dl.O(d1) = 75996869,89774388,103875910,118018684,127776253,127776252,113901082,99882672,85927447,72333624,59598350,48211080,38301161,32985249,32985250,255808534 Dl.O(d2) = 260950275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12256401, s2 = 6983197, dlinesl.size( ) = 54 s1 = 14275310, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10156965, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12486710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11339801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339801, s2 = 11099548, int(edited[s2]) = 0 s1 = 11339801, s2 = 11099548, d1 = 8, d2 = 13 Dl.O(d1) = 257913248,74485156,61702214,50220507,50220508,261847475,260984866 Dl.O(d2) = 258523240,47507603,37603707,255737452,15705498,10872388,10872389,10872221,10872222,15705247,18499940,18499955,25032877,28429178,22610763,22610762,24784590,19820520,19820521,19820555,254241078,23387620,30817132,34269586,26393574,19659282,19659283,26393576,26632853,22766402,16552609,11537218,11537217,14093049,14093048,13594792,9308805,6097794,3815263,3815261,6097789,9308797,13594776,19044443,22072878,15967915,15967916,22072880,29403254,30170367,22781551,22781550,255503518,23179355,23179356,30598233,30382768,22980757,16743629,11698987,11698986,16743624,21468275,23390981,18785157,14207726,9767075,6421670,4028624,4028623,6421630,8088964,11612224,15159491,10454540,10454536,15159469,14093397,14093399,19661627,16704244,11664167,11664166,16582040,16582042,12297567,8305611,5358827,3294057,1937321,1937322,3294063,5182669,8089324,12032777,17122459,17120319,12031079,11562301,11562300,254647780,21667866,255659110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339801, s2 = 11099548, dlinesl.size( ) = 14 s1 = 11428543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14275388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14275388, s2 = 7840949, int(edited[s2]) = 0 s1 = 14275388, s2 = 7840949, d1 = 84, d2 = 107 Dl.O(d1) = 254930627,19006875,25621146,33386704 Dl.O(d2) = 1569184,892329,892330,892305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14275388, s2 = 7840949, dlinesl.size( ) = 2 s1 = 14275388, s2 = 7840949, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14275388, Dl.E( ) = 110, 4.2e-05 seconds used appending s1 = 12257063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12257063, s2 = 10718596, int(edited[s2]) = 0 s1 = 12257063, s2 = 10718596, d1 = 1, d2 = 1 Dl.O(d1) = 10646408,7724419,7724418,8674487,8674488,7029442,7029444,10646368,15403079,11729562,11729563,16776512,16776495,16776493,23016742,18009886,18009885,21419296,15428664,10666004,7044192,4433168,2661493,2661492,4433162,7044181,10665979,15428622,15176638,15176639,12428325,12428327,17607103,23953223,26406860,28624261,21386596,18980231,18980234,21386702,21386703,28624368,21386740,15403105,15403106 Dl.O(d2) = 10646408,7724419,7724418,8674487,8674488,7029442,7029444,10646368,15403079,11729562,11729563,16776512,16776495,16776493,23016742,18009886,18009885,21419296,15428664,10666004,7044192,4433168,2661493,2661492,4433162,7044181,10665979,15428622,15176638,15176639,12428325,12428327,17607103,23953223,26406860,28624261,21386596,18980231,18980234,21386702,21386703,28624368,21386740,15403105,15403106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12257063, s2 = 10718596, dlinesl.size( ) = 2 s1 = 12257063, s2 = 10718596, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12257063, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 10718597, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10740754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14171962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14171962, s2 = 2537541, int(edited[s2]) = 0 s1 = 14171962, s2 = 2537541, d1 = 35, d2 = 99 Dl.O(d1) = 26589162,26589169 Dl.O(d2) = 29438416,38001432,47917254,59310973,72046200,74713088,270403047,99584421,99584422,99584432,85634143,85634142,99584425,99584426,258116166,72046192,85634135,95603358,109805735,123942196,128443598,141796902,128443590,114559475,114559474,114559488,100528714,86567564,72969411,72969412,86567566,100528717,100528707,86567558,86567559,86567568,86567567,72969418,60232309,48837929,48837928,60232307,72969407,60232302,48837925,38917388,38917387,48837923,60089351,48693178,256437889,30187807,38771241,48693183,60089357,60089349,48693177,48693176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14171962, s2 = 2537541, dlinesl.size( ) = 2 s1 = 14171962, s2 = 2537541, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14171962, Dl.E( ) = 104, 8.89e-05 seconds used appending s1 = 11103703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11103703, s2 = 6742805, int(edited[s2]) = 0 s1 = 11103703, s2 = 6742805, d1 = 43, d2 = 90 Dl.O(d1) = 259111301,107905859,270336656,149577979,161883670,260629364,260629358,149577985 Dl.O(d2) = 38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,29438033,22413775,16249276,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,17303308,17303312,17303968,12181457,12181456,17303962,23617749,23725526,31100619,39779076,39779067,39779068,39780679,39780680,39778747,39778746,268972688,29460426,268458640,38350634,29778372,22413644,22413643,23617496,23617495,31101817,39780357,32467514,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,33207888,31101546,23617291,17303716,12181324,8212951,8212950,12181320,17303701,23617259,31101506,38001273,33207838,33207841,30731936,29892287,24347208,17955419,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,25459292,18859557,18859558,25459295,33206947,255664869,13437161,9186909,6012749,3760447,3760446,6012747,9186903,13437151,18859583,17105802,17105801,23375305,17349018,17349019,23667054,31154774,39407549,256478586,256644678,25459528,25459529,25462230,256129213,31480389,268746199,25455681,18856751,255664491,21077887,15140463,10442395,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174111,8079037,12019747,17105612,23375042,30802714,30802619,30802618,30802758,23375087,23375086,30802755,255664707,13436410,13436409,18858494,15179563,15179564,21127989,23656027,256128679,42164398,258405027,258000007,256811111,36499113,258000009,259790198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11103703, s2 = 6742805, dlinesl.size( ) = 58 s1 = 12257491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12257491, s2 = 15332637, int(edited[s2]) = 0 s1 = 12257491, s2 = 15332637, d1 = 37, d2 = 25 Dl.O(d1) = 255301460,17807103,12606014,8555240,5552437,5552439,8555243,12606020,11545392,11545391,11563788,16583473,18742499,13342396,11552509,7686577,4863727,4863726,7686566,7686567,11552494,16571496,22578271,16395393,254826514,7735169,4897298,4796935,2891480,2891481,4796938,5966883,4862224,4862225,7329202,7687868,4864663,2931320,2931321,4864667,267896581,4903289,7586558,4903280,4903279,7611090,11445027,9118683,9118684,9118999,11440229,8844901,5764389,3590382,2140555,1680181,955725,955729,1680171,2895315,4803798,4806563,4806561,7598308,7735218,4897341,2951483,1711676,1711674,2233028,2233024,1700074,1700072,2931181,4809457,4809460,4813735,4813736,4807440,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709709,2948043,4892006,254979311,20168057,16438186,16438185,22623446,257546361 Dl.O(d2) = 123017886,259767943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12257491, s2 = 15332637, dlinesl.size( ) = 18 s1 = 11105271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105271, s2 = 11286130, int(edited[s2]) = 0 s1 = 11105271, s2 = 11286130, d1 = 0, d2 = 8 Dl.O(d1) = 44475861 Dl.O(d2) = 67662098,55322072,257911489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105271, s2 = 11286130, dlinesl.size( ) = 16 s1 = 16101727, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11106823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106823, s2 = 7041295, int(edited[s2]) = 0 s1 = 11106823, s2 = 7041295, d1 = 4, d2 = 2 Dl.O(d1) = 46270728,50494634,50494635,61986681,50494638,50494639,59732199,59732200,50547013,40511288,31815162,24299530,17916645,12693847,12693848,17916648,24299535,31815166,40511271,36815227,28318993,268201887,15162838,21108555,28318994,36815229,46698103,58070347,49296156,39370402,39369139,30767776,30767777,24139673,17775407,17775409,19773903,26576225,34563079,26577446,19774778,14164108,9737822,9737823,14164112,19774783,26577457,34564390,39371177,30770540,30770541,34572006,30769514,255531905,11992184,267902609,3121531,3121532,5134180,8043976,11992192,11992122,11992121,17079590,255724309,34565757,39369209,34564451,30308268,22908838,17078486,11991466,8043572,8043571,11991464,17078482,23344889,18352486,13029266,9740688,6405107,6405110,9740693,14168860,14165494,254680143,4017860,3121527,3121523,5134162,8043934,11992113,17079236,19773755,19773754,26576015,22908836,22908837,26577010,19774497,14163944,14163940,17079261,21375262,15972996,11087674,11087675,15972999,22078686,29409275,37972921,34565545,34565544,43837325,43837326,38277319,38277320,39370183,255115152,29409284,22078695,15973006,11087679,7353093,7353092,11087677,15973002,19774454,26576948,34563720,30768990,255092910,17079190,14164507,14164510,14165350,19776596,26577608,19774928,14164224,14164223,9738017,6403623,6403622,9738016,14164427,19775237,16341365,11370186,11370188,16341366,12010300,8067842,5161855,5161853,7556747,4778405,2879707,2879706,4778401,7556742,11374688,16346991,16337658,11367280,7563127,7560905,4780949,2881046,2881047,4780951,7560909,11380496,16353877,16350161,12138418,12138419,17258261,22504191,23656291,17339471,17339472,16330120,11361289,11361290,16330121,16765395,11718248,11718250,16334291,16350483,16329369,11372195,7555097,7555098,11372199,16343943,16333749,16333750,14432314,9927631,6524617,6524616,6553953,6553954,6525902,6525900,9929789,14435348,16349966,22511839,22511838,29871083,31090630,31090631,30410045,23629197,17313260,12188884,12188883,17313259,16324517,11357075,7545575,4772313,4772315,7545573,11357071,16324511,22498661,29856826,22492429,16319049,11353555,11353556,16319029,11353544,11353528,7545479,4772269,4772268,7545477,11356916,16324280,22498409,29861345,29856221,22491545,16318255,16309476,16309474,22019773,22527268,22488379,21297393,16315644,16315645,21295634,21295631,22491884,28516754,22481149,22476589,22476588,16357409,16357411,16309715,11347704,7540488,4769772,2875390,1669157,1669156,2875422,4769832,7540596,11347929,12121364,8153330,5224302,5224303,7431374,4695953,4695954,7431379,7543347,4771237,2876126,1669488,1669490,2876140,4771257,7543387,11352938,11352937,16318085,22491355,16769411,11723421,10587306,6984162,6984164,10587314,10587193,6984107,4388524,4388527,6984121,10587229,15328745,21295418,28516528,28516835,22478457,16307701,16307700,21081768,15143049,15143051,21081776,21295299,22481171,22481211,21569406,21569405,22490526,16736318,15919216,15919217,22020456,15977828,15977832,22022838,16735978,11692688,7798398,4945339,4945338,7562906,4782148,4782149,7562904,268088557,22476923,16306386,11345534,7539317,254781523,16306383,254760210,254374440,6984572,10588119,15330321,16345872,11373686,11373685,16345868,17090880,22519422,17272850,12152158,12152162,17272859,21979982,21979983,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,17273575,22511200,23585693,22473358,22473359,23857680,17514529,15328310,15328309,16337360,16337359,21294969,17274650,16341819,16341818,22500688,21560470,17514659,12350874,12350875,16337367,17514744,12350919,8344564,8344563,12142697,14570252,11035251,11035250,7628209,7628210,11468119,8174577,8174574,12144827,16330214,15929644,15929643,14433618,12158164,8188728,5258273,5258275,8188737,7312243,4615489,4615488,4879774,4879775,7710586,7558833,4779725,4779723,5302015,5302016,8230454,12199576,17285191 Dl.O(d2) = 261738304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106823, s2 = 7041295, dlinesl.size( ) = 2 s1 = 11106823, s2 = 7041295, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11106823, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 11278725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14275486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14005530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14005530, s2 = 2783564, int(edited[s2]) = 0 s1 = 14005530, s2 = 2783564, d1 = 79, d2 = 66 Dl.O(d1) = 10442139,6883889 Dl.O(d2) = 174199713,163346854,151463188,261283072,111628908,97707356,83847942,70322149,257642406,36433576,27974722,20811157,14915293,255153946,13729723,13729721,10255860,10255859,11188574,7423819,4691264,2826705,2826702,3941414,3941412,6292771,7423742,11188454,13684421,9371379,9371376,9371368,9371366,13684389,13684431,13684430,19163631,14030582,9645946,9645942,14030569,19584132,16519197,16519198,12586098,8538496,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,2920639,2920635,4846934,7660781,11516457,16524462,22729799,22769546,20826213,14927888,10265080,7482460,7482461,7677202,7677201,7677154,4857733,4857732,7677153,11539685,16555840,22769877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14005530, s2 = 2783564, dlinesl.size( ) = 2 s1 = 14005530, s2 = 2783564, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14005530, Dl.E( ) = 82, 2.5e-05 seconds used appending s1 = 11376271, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11328267, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328267, s2 = 10340311, int(edited[s2]) = 0 s1 = 11328267, s2 = 10340311, d1 = 22, d2 = 39 Dl.O(d1) = 259909417 Dl.O(d2) = 115557986,129435819,129435818,129435820,142755004,262320625,261277150,115557985,101528525,258867020,255550740,12112554,17230600,23538489,17335134,12209547,8240692,5312596,5312597,8240696,260106701,264276183,212552623,274474406,265889800,226889754,228673936,274357550,222482836,224842159,226889751,265891857,266445713,232893389,266206394,274551459,226237828,265354568,218788681,218788682,218788683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328267, s2 = 10340311, dlinesl.size( ) = 12 s1 = 15896559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15896559, s2 = 3820959, int(edited[s2]) = 0 s1 = 15896559, s2 = 3820959, d1 = 116, d2 = 57 Dl.O(d1) = 11351449,11351450,16315708,22488495,29853795,38421297,31025898,30166368,29858630,22494872,16321158,11354908,7544388,4771743,2876366,2876365,254181352,11029839,11029840,11370265,11370268,11091406,11091409,15977348,12490167,11347229,10443845,6884902,4321933,4321934,6884907,10443861,15142870,21081519,23586090,22475499,22475496,23008623,29855433,22490495,22019729,22019728,22025376,21080565,15142263,10443536,6884756,4321872,4321873,6884760,10443541,15142270,21080573,22490698,16317567,16317565,22490694,29855607,22777329,22777326,22019227,16306949,16306950,22477610,29844238,29845174,29845173,38415157,254806986,29883954,30374764,29855597,29855596,38412379,29847108,22481270,16309969,16309970,22481273,22519406,28315555,28315556,29350912,22481358,22481360,22476179,22019333,22019332,21569266,21569265,28840558,29353904,29840202,22472662,255510552,38392412,37919190,254370888,22019736,29351279,22530100,16357511,16357510,14570226,10026184,6589513,6589514,10026188,14570238,20302941,17282002,17282003,22483680,22483681,16312018,11349107,11349106,16312016,22483695,21295007,15328325,15328324,21295002,23292910,17033539,11948343,11948344,17033544,16459659,11468566,7628483,4826471,4826469,7628479,11468553,15921619,11044394,11044393,15921613,11044504,11044506,15921765,15922225,16345860,16337755,11367370,11367371,255069242,254807702,254582114,14570624,14570623,12172836,8205159,5276477,5276476,8205157,12172834,11370019,7553665,4776913,2878980,1670826,1670824,2878971,4776901,7553947,8237892,8237891,11370864,11370865,14434245,14432421,11370570,7553999,4776921,4776924,7554003,11010749,11360165,16326166,16326165,22500418,29862868,29306743,29306742,22512707,16338964,11368295,7552629,7552630,11368299,16338975,11368960,11362242,7548844,4774099,2877541,2877544,3263029,3263031,5313647,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,20125080,23635648,29863560,29863559 Dl.O(d2) = 135735492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15896559, s2 = 3820959, dlinesl.size( ) = 28 s1 = 11148908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15102544, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15102544, s2 = 11524066, int(edited[s2]) = 0 s1 = 15102544, s2 = 11524066, d1 = 13, d2 = 11 Dl.O(d1) = 38693759,30117511,256432291 Dl.O(d2) = 265004733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15102544, s2 = 11524066, dlinesl.size( ) = 14 s1 = 11253529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253529, s2 = 11018452, int(edited[s2]) = 0 s1 = 11253529, s2 = 11018452, d1 = 128, d2 = 88 Dl.O(d1) = 87641468,74038081,74038082,61258265 Dl.O(d2) = 268626184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253529, s2 = 11018452, dlinesl.size( ) = 80 s1 = 15873298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15873298, s2 = 15522452, int(edited[s2]) = 0 s1 = 15873298, s2 = 15522452, d1 = 14, d2 = 17 Dl.O(d1) = 256332130,73224249,84900477,258688524,259934704,140028272,140028270,140028271,262182451,174956191,164134887,152247995 Dl.O(d2) = 112282444,260035708,84453733,84453734,84453735,260506805,139580397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15873298, s2 = 15522452, dlinesl.size( ) = 2 s1 = 15873298, s2 = 15522452, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15873298, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 15522451, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12488636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11122779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122779, s2 = 11236222, int(edited[s2]) = 0 s1 = 11122779, s2 = 11236222, d1 = 9, d2 = 13 Dl.O(d1) = 39862800,39701903,31024765,24300198,24300200,24306676,17922504,12698571,8627154,5609605,3483986,2068614,2068613,3483980,5609591,8627125,12698525,17922431,24306357,17922301,17922300,18785226,18785229,17454178,12304197,12304196,17454170,23784705,18144512,18144514,24589666,20021419,20021420,18192000,12903163,12903164,12903179,18192031,24649009,32247436,29146745,21838902,21838903,29146751,22963003,22963004,21838926,255864831,37706914,255577292,24587786,18143218,18143217,18143294,12865750,9115541,9115540,255253701,25320772,33049166,30369164,30369166,38955318,48874908,60267212 Dl.O(d2) = 115856023,114592740,260402358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122779, s2 = 11236222, dlinesl.size( ) = 18 s1 = 15103183, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11123287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123287, s2 = 14890445, int(edited[s2]) = 0 s1 = 11123287, s2 = 14890445, d1 = 11, d2 = 7 Dl.O(d1) = 39944535,37273330,28741065,28741066,22414003,16249456,16249458,22414010,29778938,25348509 Dl.O(d2) = 25348505,22547639,16371614,16371615,22547641,29903201,256414545,39860844,40520325,40520324,42021783,33077884,25347533,25347534,20220072,20220071,22631901,30001430,35217399,27124682,20220355,20220357,24002062,24002059,18767121,13363615,255255867,25348825,33079683,42023690,48683997,256291638,39877349,38460264,30153139,255493177,11536598,15231879,10507377,10507375,12155166,255158969,22342015,16193396,11256641,255021297,6928760,6928762,10507442,6928853,6928852,10507506,10507502,15232045,21196054,28174456,20993117,20993118,22342157,16193488,11256692,11256690,16193479,22342139,22765124,29726734,29695739,22342169,16193732,16193248,11256558,7472699,4722605,2845387,2845380,2845365,1650785,1650783,2845359,2845417,2845423,4722672,7472822,11256771,15583601,13142881,13142879,16193336,11256597,7472720,4722613,4722616,7472730,11256612,16193358,21195919,16193530,16193528,21196293,21196045,21196043,28418285,36916147,36650186,36650185,29695678,22342120,16193469,11256686,11256683,16193463,22342115,29695675,38261593,38261714,29695795,22342210,16193520,16193519,16193195,11256518,7472677,4722587,4722586,7472618,7472619,11256461,11256751,11256750,16193594,22342326,22342350,28888736,25031794,25031793,32718258,38261346,38261298,29695445,22341969,22341970,29695477,38261342,48170733,38261099,38261100,38261717,48171301,59557317,48170586,48170585,48170598,38261573,29695658,22342101,22342100,23202509,16932719,16932718,23202507,30624880,38261711,268603066,59557318,48170616,38260990,29695158,22341716,16193140,11256484,11256485,16193142,22341721,29695166,38260997,29695687,29695688,256900076,256900078,59557871,48171376,48170728,38261096,38261095,48170726,59557420,59557583,48170966,48170965,59557581,59557790,48171219,38261565,29695653,29695652,22342188,22342186,23590516,23590514,31073809,39751476,39751488,49770002,61248761,58745096,47357769,37451213,28911602,28911603,37451215,30626130,23203698,23203697,30626126,39223870,49150419,59557324,59192587,59192586,59557474,48170814,48170815,59557477,68116555,59557468,59557469,48170951,48170950,59557568,48203042,38293687,38293686,48203040,59589485,72291777,66956035,59557412,48171325,48171324,59557839,67803705,55462208,44613599,35232237,35232239,257322983,47357831,58745141,71474635,71447824,58717050,49318581,39390582,39390581,35232232,35232231,44613583,55462195,55462073,48234068,38324109,38324110,48234069,59621027,59621033,48551917,38637391,30063217,30063218,268955037,59944108,67803737,55462276,44613664,35232284,35232285,44613669,37699389,37420158,28878530,28878452,27137473,20230637,14517147,9989192,9989191,14517146,20230631,27137465,35232206,40467916,40467917,50503793,52038933,47792380,39390605,30788163,23362651,17093759,17093758,23362647,30788156,39390594,30868248,30868247,39471682,38323989,29754457,22393797,16233837,16233836,22393792,29754454,268232570,41723725,41723726,52039035,48445238,48445239,59831551,72567032,62953813,62953814,71447800,58716999,47328306,37420085,28878482,21603181,15575414,15575415,14513536,9986791,9986790,14513532,20225563,27130960,35224768,44605587,55454227,63858626,255429282,49318612,39390610,30788171,30788172,39390586,39390649,49318661,49400181,49318640,39390640,38323983,38323985,38323970,29754444,29754446,38323974,41723721,41723809,32803648,32803647,41723805,47403463,267827204,59025848,59025472,47622069,37698809,31514667,29138682,21831299,15762901,10916643,10916644,15762904,20225566,20225567,255429326,27130954,35224763,44605576,44605578,52070001,52070000,58125778,47403425,37495671,28953088,28953087,30788177,30788201,30788202,29140106,29140108,37700917,40517532,40517533,37699430,32803599,32803598,32803552,25101682,25101683,30788167,29138624,21831267,21831268,29138642,37495724,37495723,37699614,38153279,29587086,28878429,24013821,17666060,12492296,8461051,7219720,4548823,4548824,7219727,10916661,15762922,21831329,29138720,31820848,36878811,28382499,28382498,29587064,29587081,29587082,37495685,28953101,21672813,21672811,28953095,21672826,21672827,21832547,21832548,28878512,24304489,24304491,24304499,31820859,32803562,25101672,18553221,18553222,25101675,21831260,15762867,15762866,21831252,29138622,255429342,21165022,15208336,15208335,21165021,28382625,21672803,15635401,15635400,15762841,21831209,21831381,15762961,15762958,17666033,12492283,12492280,17666020,22239193,16103663,16103662,22239191,28417799,29097853,21800413,15740426,11297417,11297419,10819886,10819884,15635420,21672863,17920862,12697349,11850063,11850064,15762159,15762160,17666041,24013768,31514622,35148916,29140157,21832596,21832595,21832618,21832616,29140172,27240476,20309786,20309787,21165013,28382612,28382607,28382608,28953073,37495658,29138550,29138551,29138751,21831371,21831370,29138747,24013744,24013745,31514571,31514558,28417804,21195632,15231785,15231786,21195636,28417814,29097838,29097839,37495736,28953145,21672853,21672850,28953157,23200811,16931447,11850057,11850058,16931454,23200825,24013757,31514603,29139881,21832351,21832348,29139876,32470080,29139779,21832241,21832242,27240455,20309777,20309775,27240448,33204684,25457494,25457495,33204689,42164861,37700559,37700561,37700947,37699462,268215818,50223306,47624845,37701868,29140986,21833263,15764540,10917814,10917815,268215867,29140993,37701884,256900136,66844646,66844645,68092945,268393442,44788184,55693754,44786475,35362350,27239340,27239339,26582207,19778862,19778863,26582209,34568769,37701879,47624854,55693994,44786806,35362703,35362701,44786802,44786605,44786606,47623666,37700679,29139919,21832384,21832382,29139914,35362697,43840483,43840484,54585244,55693756,44786479,37701875,37701874,47624849,59027566,54585546,54585545,255864352,54585247,54585246,43840494,34568772,32470234,32470233,41315772,34568742,26582193,26582192,20308978,14574574,14574543,14574544,268343319,35362241,44786361,55693695,44786811,35362706,27239584,20309106,20309108,27239430,35362474,44786609,256238007,27239590,35362710,44786815,55693997,55693853,44786618,43840369,43839957,41315757,41315758,43840910,34569106,34569107,43840533,43840020,34568373,26581998,26581999,256719993,26581986,26581987,34568349,43839991,43840216,34568526,34568305,26581966,19778737,19778738,26581973,27126818,27239277,34568945,26582326,19778936,19778938,26582008,26582009,19778927,14167165,14167166,19778932,21304493,28526415,35362626,27239534,27239533,34568600,34568599,26582285,19778909,19778911,26582294,34568900,43840666,54585393,54585152,43840346,43840345,44438629,35064522,35064523,34568446,34568447,43840119,54584992,54585287,44786401,35362322,35362323,44786453,43840129,34568455,34568453,27126829,27126827,35220373,34568638,34568637,43840351,54585159,44786409,35362294,34568955,34568954,34568537,26582080,26582078,34568441,34568931,26582502,26582503,34569221,43840633,43840188,34568549,34568550,43840242,43840648,34568892,34568893,43840652,54585380,66844552,66844878,59736360,48352617,38450663,38450662,44438627,43840108,43840107,49147639,43840638,43840637,54585365,66844604,68091565,60713568,55450456,55450455,67792645,67792643,55450225,54585006,43840143,34568463,34568462,43840138,35220495,35220494,44601409,44600798,44600797,55450035,44601319,35220335,35220334,43840681,44601115,35220165,35220162,35220268,35220266,44601236,55449974,55449973,59736383,256413838,49344387,48352535,48352533,55450147,44600954,35220045,27126607,27126608,35220048,44600956,38450716,38450717,44601298,44601299,48352677,55450197,44601028,44601027,55450193,59736329,59736328,48352606,39383791,30781847,30781848,39383794,44601568,48352573,38450622,29893776,22538748,16364124,16364123,22538743,29893767,35220531,27126941,20222056,20222057,27126720,27126719,35220229,44601211,55450349,55450488,48352649,48352651,55450135,44600934,35220031,27126599,20221867,14510789,9984988,9984989,14510795,20221876,27126618,35220061,44600985,44600775,44600773,49367979,39439150,39439149,49367973,48828863,39437327,30833178,30781855,23357111,17088850,12001321,12001320,17088847,23357104,27126927,27126987,35220586,44601011,35220077,27126902,20222037,14510878,14510879,20222041,20221926,14510820,14510821,20221931,27126714,35220218,44601198,39221083,39221085,44601470,44601469,44600888,35220005,35220004,44600886,37351775,28813084,23404883,17131348,12039340,12039339,17131344,23404881,30833657,39437677,49365943,39437132,30832951,23404305,23404306,30832954,39437136,47261217,38807416,30224363,30224362,38807431,37351687,37351688,38487304,29926581,22566463,22566462,29926579,38487298,48390461,41315695,32470173,256600005,258354167,51536538,47261121,47261122,58652934,71190793,59773565,55450519,55450518,55450553,58652868,58652955,47261144,37351680,28813001,21545028,15528033,10739409,10739407,15528026,21545016,28812970,35174424,35174422,38487216,29926515,29926516,38487222,48390383,53145692,47759114,47759115,47261215,37351745,37351744,28813101,28813103,24744895,24744894,32361322,41177176,51363359,59773554,54585359,51363387,51363389,63044468,55398682,55398683,58652852,71388086,60768166,49365588,39436574,39436573,49365584,60768126,59156492,59156490,66863029,58652951,47261137,47091065,37195298,28812984,28812950,28812953,37195307,37351623,35174435,27086067,27086065,35174431,35174447,35174448,44552093,55398696,58468915,58468916,59773501,59773500,255983300,58469120,63910025,52091211,52091212,63910027,77021426,77021387,257030598,41777459,41777458,52091015,63909926,63910058,63910057,52091271,41777762,41777761,52091268,58469154,268975442,47091045,48220120,38310306,38310305,48220100,52091279,48281425,48281426,48220022,48220023,52091077,52091078,41777691,38395625,38395624,47805276,41777478,41777479,46484451,38370280,32857095,25150222,18593454,13213035,9006791,5879473,3670594,3670595,5879479,9006801,13212999,13212997,18593377,15056243,15056242,20965932,16263630,16263631,22431005,29797523,38310229,38310231,48220062,47091290,37195484,28673170,21984509,15888528,11014149,11014148,15888522,21984480,22430953,16263603,11307622,7507456,7507455,11307617,11307642,16263655,22431039,29797576,38370296,256466732,40395430,257011402,38261431,38261429,48171077,48281609,256844032,23421974,23421973,22430964,16263616,16263619,22430982,22431015,22431012,29797546,38370265,48266732,38355856,29783283,29783284,32857025,25150170,21984609,15888577,15888578,21196343,21196342,21984468,21984467,21984602,15888575,11014170,11014169,15888570,21984592,22382816,22382814,29695559,22342028,16193406,11256646,11256647,16193411,22342039,29695575,36835375,28338591,21126357,15177684,10467911,10467910,12049405,12049406,17145051,17117500,17117502,23389326,30818528,39423601,39922067,31246474,31246475,31499812,40184837,50207243,50207472,40185118,40185117,48130138,48130139,39725596,31046879,23562931,255994913,39725598,48149407,256050376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123287, s2 = 14890445, dlinesl.size( ) = 2 s1 = 11123287, s2 = 14890445, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11123287, Dl.E( ) = 12, 1.1e-05 seconds used appending s1 = 14890446, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11542393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542393, s2 = 11123856, int(edited[s2]) = 0 s1 = 11542393, s2 = 11123856, d1 = 6, d2 = 9 Dl.O(d1) = 265433146 Dl.O(d2) = 271861396,88176338,74561612,269400016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542393, s2 = 11123856, dlinesl.size( ) = 14 s1 = 11049233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14275810, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14275810, s2 = 11349838, int(edited[s2]) = 0 s1 = 14275810, s2 = 11349838, d1 = 27, d2 = 21 Dl.O(d1) = 258254066,46867057,38368704,38368705,39850019,31167923,23679557,17359224,17359225,256003045,39850021,49872274,61353980,74135531 Dl.O(d2) = 255619440,35253635,268831493,259618019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14275810, s2 = 11349838, dlinesl.size( ) = 2 s1 = 14275810, s2 = 11349838, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14275810, Dl.E( ) = 34, 1.31e-05 seconds used appending s1 = 11127729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127729, s2 = 11001476, int(edited[s2]) = 0 s1 = 11127729, s2 = 11001476, d1 = 9, d2 = 23 Dl.O(d1) = 41165959 Dl.O(d2) = 254945696,8818351,268033634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127729, s2 = 11001476, dlinesl.size( ) = 24 s1 = 11128525, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11196185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14067782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12261383, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14907140, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15104844, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11229499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11229499, s2 = 13423413, int(edited[s2]) = 0 s1 = 11229499, s2 = 13423413, d1 = 2, d2 = 10 Dl.O(d1) = 91316154,104990899 Dl.O(d2) = 76937251,63829776,53701714,52391119,52391120,64246901,74206750,63829809,52014544,41704032,41704031,39147634,39147635,49077330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11229499, s2 = 13423413, dlinesl.size( ) = 12 s1 = 14275960, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13990933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12262797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12262813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12490396, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14227680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12263161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15909108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15222958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15222958, s2 = 11096502, int(edited[s2]) = 0 s1 = 15222958, s2 = 11096502, d1 = 6, d2 = 3 Dl.O(d1) = 86192599,100155302,114185706,114185713,100155308,86192609,72595268,257545528,256421924,63715496,76816388,90684691,104852685,119036449,104852686,104852687,119036452 Dl.O(d2) = 99614310,85665128,75478028,62552815,50945865,40823279,32060404,24492636,24492635,24492863,18068003,12809626,12809625,18068002,24492861 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15222958, s2 = 11096502, dlinesl.size( ) = 2 s1 = 15222958, s2 = 11096502, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15222958, Dl.E( ) = 8, 6.2e-06 seconds used appending s1 = 14276140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14276140, s2 = 11150924, int(edited[s2]) = 0 s1 = 14276140, s2 = 11150924, d1 = 18, d2 = 8 Dl.O(d1) = 207834824,202020666,273558674,177754405,177754404,167261936,155632919,143083697,143083694,155632917,167261934,167261926,167261924,177754399,273384017,263576220,187028301,195107815,187028306,187028304,177754409,167261940,155632921,261216528,129753962,129753961,115854901,101808729,101808728,115854899,129753958,143083689,155632911,167261922,155632923,143083698,260640428,115854902,129753962,143083693,155632914,167261919,167261920,177754394,263622679 Dl.O(d2) = 101808728,115854899,129753958,143083689,155632911,167261922,155632923,143083698,260640428,101808732,258799062,61450757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14276140, s2 = 11150924, dlinesl.size( ) = 2 s1 = 14276140, s2 = 11150924, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14276140, Dl.E( ) = 20, 6.91e-06 seconds used appending s1 = 12491074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12264157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12264157, s2 = 10468080, int(edited[s2]) = 0 s1 = 12264157, s2 = 10468080, d1 = 24, d2 = 29 Dl.O(d1) = 78616715,78388359,78388358,79298130,65935488,53868724,257861475,75880592,62908156,257138275 Dl.O(d2) = 14716609,20514543,27528878,35770514,45349025,45525611,258585213,64337898,52469816,42116957,33162380,25421008,25421006,33162374,42116947,52469802,45587079,35935341,35935340,35935223,256786191,50077234,61556629,256716724,50077307,40056603,40056605,45416082,45416078,45408302,45408301,56312950,56312952,45316138,35749615,27516364,20506955,20506952,27516353,35749575,45316033,56373239,68884540,82409672,83071391,69571868,56967645,45766513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12264157, s2 = 10468080, dlinesl.size( ) = 24 s1 = 15106590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15106590, s2 = 11648178, int(edited[s2]) = 0 s1 = 15106590, s2 = 11648178, d1 = 87, d2 = 93 Dl.O(d1) = 60559033,73302534 Dl.O(d2) = 3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296913,3833706,6127163,9354328,13660332,268757625,260884540,159587091,261455788 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15106590, s2 = 11648178, dlinesl.size( ) = 82 s1 = 12264387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11283893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283893, s2 = 11376810, int(edited[s2]) = 0 s1 = 11283893, s2 = 11376810, d1 = 48, d2 = 27 Dl.O(d1) = 258858059 Dl.O(d2) = 141234080,262725997,177846284,273103078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283893, s2 = 11376810, dlinesl.size( ) = 30 s1 = 15241602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155935, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155935, s2 = 14027581, int(edited[s2]) = 0 s1 = 11155935, s2 = 14027581, d1 = 16, d2 = 21 Dl.O(d1) = 50018016 Dl.O(d2) = 16624859,11596374,11596373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155935, s2 = 14027581, dlinesl.size( ) = 40 s1 = 2295085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2295085, s2 = 1585247, int(edited[s2]) = 0 s1 = 2295085, s2 = 1585247, d1 = 6, d2 = 11 Dl.O(d1) = 61571272 Dl.O(d2) = 40070150,31387638,23891142,17544519,12375170,8362476,5397583,3319001,3319000,5397581,8362470,12375158,15305119,11968505,11968503,8012007,8012005,11968532,12259076,8279184,8279185,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384815,6768681,6768680,7269613,4584441,2758191,2758195,4584457,7269652,8367981,12383387,12391538,17396687,17396689,23720549,23735241,17546399,17546400,12394640,12394641,12259587,8279481,8279480,12259583,15486148,21492000,28751580,268380384,112811587,126668611,140021688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2295085, s2 = 1585247, dlinesl.size( ) = 2 s1 = 2295085, s2 = 1585247, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 2295085, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 12265303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12265303, s2 = 3238448, int(edited[s2]) = 0 s1 = 12265303, s2 = 3238448, d1 = 0, d2 = 9 Dl.O(d1) = 120358,219188,393597,700210 Dl.O(d2) = 1601743,910756,910753,1601732,2763061,4592602,7282453,11001205,15354839,18077680,256063933,40852020,50986855,62609227,75547187,87918549,74315091,61538469,61538468,65558015,53533188,48662371,40040624,40040623,50060146,61538470,74315092,87918550,101892706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12265303, s2 = 3238448, dlinesl.size( ) = 2 s1 = 12265303, s2 = 3238448, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12265303, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 12491808, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15107504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12265555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12265875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12265875, s2 = 10996732, int(edited[s2]) = 0 s1 = 12265875, s2 = 10996732, d1 = 52, d2 = 59 Dl.O(d1) = 64232948,77383330,84280804 Dl.O(d2) = 270294740,77444100,258398505,64289823,64289820,64289819,77444094,91366680,105588810,105588819,91366687,77444098,64289822,52429747,42082158,33131046,255660425,255258455,8977651,13170079,16414415,16414417,22597454,22799495,16582598,11562897,7695632,7695631,11562891,16582588,19817530,19817531,24216925,26629470,19818124,14195934,14195933,19817765,16649712,11617664,11617663,15867422,14089873,9691123,9691124,14089878,19656998,22606321,19664501,17967230,17967228,14089163,9690699,9690700,11291033,16240817,17522139,17522140,18945908,16421163,16421164,19650490,15772885,15772884,17526893,12636225,8579559,8579560,12636231,17844143,17844631,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,12030201,17119151,17119152,23391076,29965877,268230008,16417853,13082870,13082871,18419059,21123498,15175258,15175257,21123493,16435913,11451120,7616384,4818921,4818922,7616387,11451125,16435930,22620597,29988025,29729113,22372392,22372394,17119104,17119103,14084827,14084825,19650333,19656004,14089114,9690668,9690670,14089118,10247445,6732914,6732916,10247448,14904086,17747402,17747403,24106182,26630577,23241563,16973148,16973150,19342023,13832885,13832884,12030604,267833560,14088367,17116634,12028414,12028415,11538089,7676177,4857213,4857214,7676184,11538106,11538077,11538075,16553595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12265875, s2 = 10996732, dlinesl.size( ) = 46 s1 = 12266007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11378123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378123, s2 = 11168468, int(edited[s2]) = 0 s1 = 11378123, s2 = 11168468, d1 = 10, d2 = 12 Dl.O(d1) = 257659196 Dl.O(d2) = 58946298,47563488,255571682,21808779,255055975,4544807,2732089,1583124,900017,507684,284681,284679,507678,900005,1583102,2732042,4544734,7213068,7213056,4544726,2732036,2732035,4544723,7213051,10906160,15746980,21808522,29107229,37656919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378123, s2 = 11168468, dlinesl.size( ) = 14 s1 = 11137483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137483, s2 = 2445412, int(edited[s2]) = 0 s1 = 11137483, s2 = 2445412, d1 = 107, d2 = 30 Dl.O(d1) = 47880652,37962793,37962792,47880651,59276026,257934546 Dl.O(d2) = 68066595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137483, s2 = 2445412, dlinesl.size( ) = 42 s1 = 14276420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14276420, s2 = 6584095, int(edited[s2]) = 0 s1 = 14276420, s2 = 6584095, d1 = 18, d2 = 12 Dl.O(d1) = 260860502,74312253,61535012,257652348,31418687,23928653,17586914,17586913,23928649,31418677,40098637,35201987,35201988,257919745,37470743,37470744,47377748,257657705 Dl.O(d2) = 256228865,27110556,35200375,35200783,27110970,255785117,14950212,14950211,14024141,9640459,9640460,11595353,9640890,6337768,254675165,14024803,268791131,26696663,19876289,19876290,26674847,19857629,19857631,26674850,34668068,37274490,42042207,33094109,32974898,32974897,41031906,35172185,256180512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14276420, s2 = 6584095, dlinesl.size( ) = 14 s1 = 16296288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16296288, s2 = 11171818, int(edited[s2]) = 0 s1 = 16296288, s2 = 11171818, d1 = 8, d2 = 8 Dl.O(d1) = 29542408,29542409,29388926,256378887,47872457,59268166,59268167,72004387,85591331,99538415,113549964,127420899,140777012,262220551,262354962,155937607,143397450,261306422,261306421,116159751,102103069,88116589,74505359,74505360,88116590,102103072,98925795,85000894,258070375,47304487,256879451,28854460,21581977,15558139,10761350,255043221,21581979 Dl.O(d2) = 29542408,29542409,29388926,256378887,47872457,59268166,59268167,72004387,85591331,99538415,113549964,127420899,140777012,262220551,262354962,155937607,143397450,261306422,261306421,116159751,102103069,88116589,74505359,74505360,88116590,102103072,98925795,85000894,258070375,47304487,256879451,28854460,21581977,15558139,10761350,255043221,21581979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16296288, s2 = 11171818, dlinesl.size( ) = 2 s1 = 16296288, s2 = 11171818, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16296288, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11237185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237185, s2 = 10272948, int(edited[s2]) = 0 s1 = 11237185, s2 = 10272948, d1 = 28, d2 = 38 Dl.O(d1) = 256519348,27220695,27220694,25879807,25591470,18982094,13545351,9273017,6074130,6074131,9273022,13545357,18982107,21625799,21617181,15587220,11550425,7684664,7684665,11550429,16569381,22785289,24834849,20869444,14967151,12586212,8538536,5536554,3422034,3422033,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,2873455,2873457,4766789,7535567,9120147,9120146,13347079,14607131,254710187,6801776,10333891,15003671,17950595,255363062,27223110,22730388,16525123,16525125,22730390,254713106,21629292,16724868,16724869,22960731,255786736,22465588,16297462,11339261,11339262,7535451,254357665,1667681,948619,534806,534807,948576,948579,1667611,2873312,4766461,7534946,11338608,14216612,19843922,19541930,13992730,13992729,19541926,14940752,14940753,15050344,15050347,20860352,28027644,21624091,15593491,10787283,10787280,12385034,10019245,10019244,14560297,20290843,20344642,21219185,16525178,16525179,22730440,22893017,22809359,22809360,20961320,20354292,14610461,10053360,10053358,14610452,20293608,27222051,28052944,27279429,20857936,14956673,14956674,16433597,17451483,22720065,18222222,18222221,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308100,4134647,2473348,2473347,4134641,4699109,7436640,4699295,4699294,7436937,11208245,14941407,10276318,10246056,10246054,14901990,11270505,11270506,16213220,14427996,9924705,9924706,14428002,254117882,44473618 Dl.O(d2) = 266841622,242247229,242599698,242927890,243233747,274932660,267114973,241777485,241358268,240905593,240416472,266839915,238698666,266647237,236463570,266401625,266199255,231010950,265826603,265519305,221384606,218488504,265134584,199528352,192205223,192205222,199528350,205726801,210854096,214737753,263991360,205311120,210498829,264578270,221158009,223668061,225843093,227739955,274542957,225932513,262615574,221275236,263464374,262615576,218362826,218362827,215033381,263061552,199505698,273895250,163023378,163023377,163192265,151278167,262115195,174067527,183756512,192248569,199564706,205755958,264698119,218496679,221390023,265679501,266199341,234589034,274757054,274546663,227897436,227897437,229546915,266084871,274657393,236464055,237280160,274827329,240905882,267036117,267115005,242856288,243166654,243458019,267269015,244213386,244429641,244630788,267416957,245246305,245086436,267340206,244101700,243858699,274981444,245086438,245246308,267416954,267449552,245729807,245601326,275012176,244994982,244818312,267340209,274967181,267182805,242522850,242164432,241777743,274874141,274800624,236464057,274732290,266151670,265519587,221390027,218496681,264698121,273586064,272911790,272274968,271878346,273287231,199045582,205311122,264300530,212838295,264300529,273895249,265441845,225707549,274222270,264598914,210128135,204851367,202918397,196168829,192248494,183756422,183756423,192248500,199564672,204851393,198491617,198491616,192175762,192175761,199505704,192175142,263815821,183663761,173943486,173943485,183663758,183756521,174067537,163192278,151278182,138531193,138531192,138531188,125137081,125137079,136713232,259536974,80271995,66841997,54582250,257097110,259759069,122881077,260748480,162069932,273955295,265503917,265609944,274526860,233401109,265928084,221822034,264626846,263716134,262927522,261432124,269497914,15644791,254919088,255659860,47417233,44568425,44568428,55415746,67755936,63587592,60125284,60125285,72862218,72462179,59726539,256102958,29880173,256102956,59726535,72462171,85086676,85086678,91250827,77331103,77331102,75307348,255417616,50827241,62409255,67755959,64183801,52333624,52333625,60155013,256343376,84450521,70893667,58179619,46812403,46812405,48761255,38841903,30258308,30258309,256988495,47396124,256518750,257465176,64183807,52333626,52333627,48760493,48760494,60154197,72890073,72890072,72890070,72890071,64183804,256014254,33051008,33051006,31050274,23565895,17254533,16635833,16635832,22862859,30258527,38842081,48761399,60154194,65054541,72588493,255173534,255173536,72655113,72655114,86256341,87904348,74300633,61522764,61522765,60484697,49081124,255173532,30032354,30032353,38606196,48521276,59850670,48459959,38547683,38547684,48459961,258153959,260020637,101837091,87864375,87864374,101837089,114179190,259503214,72588491,59850662,256964175,38547670,48459947,59850659,59850681,71493401,71493404,71493410,58763222,47375850,47375851,58763224,71493414,72588502,257065290,38547686,29978766,22612000,16427728,11443034,11443033,16427726,22611995,29978760,38547674,48459951,59850664,268679608,38547687,37469116,28928263,21651471,15617344,10805515,10805514,15617340,21651466,268619345,37469088,37469091,47375836,58763196,47375825,37469083,37469084,47375828,58763198,47375867,37469125,28928268,28928269,28826326,28826325,37366586,47276574,258068967,47276577,37469097,28928253,21651462,15617336,15617338,255850647,37366601,28826334,28826335,24941840,24941841,32605449,41484342,48727465,47375823,269320881,58763129,47375877,268925787,268388777,15617345,255417397,255850653,255417399,256343063,37469189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237185, s2 = 10272948, dlinesl.size( ) = 26 s1 = 8378034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8378034, s2 = 14242636, int(edited[s2]) = 0 s1 = 8378034, s2 = 14242636, d1 = 14, d2 = 7 Dl.O(d1) = 162690594,151728000,139025614,125687504,111870711,111870710,125687503,139025613,151727999,139025616,139025615,128360573,114483996,100458905,86500611,72904183,72904182,72904185,60167430,48773217,48773218,60167432,255923702,255923704 Dl.O(d2) = 15839032,21925077,23968656,17618856,17618855,23968653,31464331,40147835,255890740,23172713,23172714,30591268,39188762,49117268,268998165,31435663,257076143,40113643,40113644,40114238,31435667,23944811,17599846,17599845,23944809,268257409,12422713,8396048,254404793,1958732,1958731,3330582,5417999,8396038,12422696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8378034, s2 = 14242636, dlinesl.size( ) = 2 s1 = 8378034, s2 = 14242636, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8378034, Dl.E( ) = 16, 8.82e-06 seconds used appending s1 = 12267205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14276448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14276448, s2 = 8044365, int(edited[s2]) = 0 s1 = 14276448, s2 = 8044365, d1 = 29, d2 = 35 Dl.O(d1) = 256110982,12742893,12742895,17980509,24379111,31910554,25284596,18711626,13318404,9098809,9098808,13318401,254202488,9355415,13661711,19133126,16523887,11515980,7660458,7660460,11515988,16523900 Dl.O(d2) = 38686236,255797750,59994111,55726485,257578890,68073720,62688818,51059334,40918701,32141603,24559535,18121040,18121041,24559538,32141607,40918706,43394672,53919774,44355461,34977750,26898372,26898371,34977748,255331292,24813667,255230943,5771790,254897767,7622350,7622351,11459657,16447326,268410589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14276448, s2 = 8044365, dlinesl.size( ) = 8 s1 = 11181051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181051, s2 = 10778074, int(edited[s2]) = 0 s1 = 11181051, s2 = 10778074, d1 = 8, d2 = 111 Dl.O(d1) = 59544015,59544014,72278223,85869698,85869719,72278244,59544030,258755029,68066552,55667087,258550583 Dl.O(d2) = 259875868,90711069,90711068,104880925,90711069,76840625,76840627,76840626,63737037,51927672,41624892,32718870,32718869,41624891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181051, s2 = 10778074, dlinesl.size( ) = 40 s1 = 16017090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12267393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12267393, s2 = 12034811, int(edited[s2]) = 0 s1 = 12267393, s2 = 12034811, d1 = 1, d2 = 1 Dl.O(d1) = 53701307,43189522,34103784,26240326,26240325,34103780,43189520,53701318,46760696,46760695,58128951,70843386,62205065,62205064,70843397,68140390,55742483,44834592,44834591,55742481,57627415,57627418,65758457,53701313,53701314,65758475,79114776,84400660,70843383,257653390,40627658,31912986,24381133,17982138,12744139,12744140,17982141,24381140,31912997,40627676,50231013,50685757,40627701,40627700,50685754,46283052,46283053,48095183,48095182,59484398,62205027,57627275,46282876,46282875,57627274,256937386,36430022,27971343,256268305,46282854,40627678,31912998,31912999,40627682,36429932,268370121,20807993,27971253,27971254,36429896,46282695,40627760,31913050,24381173,17982162,17982161,256055873,27971252,36429895,46282694,50685682,50685726,50685725,256395312,27971279,27971280,20808068,255781935,36430121,46282963,57627369,52390374,52390375,62205104,57627250,46282842,36430012,36430013,31913040,24381167,24381168,31913042,40627754,50685817,62205105,58451506,58451508,63783379,51968074,51968072,50685752,40627699,257113383,40627703,40627702,40030821,31350195,23855976,23855977,31350197,36430015,27971339,20808032,20808033,27971341,36430018,46282846,46282834,36430006,27971327,27971328,36430007,46282838,46282844,41660340,41660339,51968076,63783382,55421892,55421893,59484621,48095524,38183889,29616651,22265404,22265403,29616648,31350202,40030837,50051132,50051112,40030818,31350193,23855975,23855977,31350197,36430015,36430014,41660340,41660339,51968076,63783382,55421892,55421893,59484621,48095524,38183889,29616651,22265404,22265403,29616649,38183886,48095522 Dl.O(d2) = 53701307,43189522,34103784,26240326,26240325,34103780,43189520,53701318,46760696,46760695,58128951,70843386,62205065,62205064,70843397,68140390,55742483,44834592,44834591,55742481,57627415,57627418,65758457,53701313,53701314,65758475,79114776,84400660,70843383,257653390,40627658,31912986,24381133,17982138,12744139,12744140,17982141,24381140,31912997,40627676,50231013,50685757,40627701,40627700,50685754,46283052,46283053,48095183,48095182,59484398,62205027,57627275,46282876,46282875,57627274,256937386,36430022,27971343,256268305,46282854,40627678,31912998,31912999,40627682,36429932,268370121,20807993,27971253,27971254,36429896,46282695,40627760,31913050,24381173,17982162,17982161,256055873,27971252,36429895,46282694,50685682,50685726,50685725,256395312,27971279,27971280,20808068,255781935,36430121,46282963,57627369,52390374,52390375,62205104,57627250,46282842,36430012,36430013,31913040,24381167,24381168,31913042,40627754,50685817,62205105,58451506,58451508,63783379,51968074,51968072,50685752,40627699,257113383,40627703,40627702,40030821,31350195,23855976,23855977,31350197,36430015,27971339,20808032,20808033,27971341,36430018,46282846,46282834,36430006,27971327,27971328,36430007,46282838,46282844,41660340,41660339,51968076,63783382,55421892,55421893,59484621,48095524,38183889,29616651,22265404,22265403,29616648,31350202,40030837,50051132,50051112,40030818,31350193,23855975,23855977,31350197,36430015,36430014,41660340,41660339,51968076,63783382,55421892,55421893,59484621,48095524,38183889,29616651,22265404,22265403,29616649,38183886,48095522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12267393, s2 = 12034811, dlinesl.size( ) = 2 s1 = 12267393, s2 = 12034811, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12267393, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11194431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194431, s2 = 7929958, int(edited[s2]) = 0 s1 = 11194431, s2 = 7929958, d1 = 10, d2 = 12 Dl.O(d1) = 270804231,10585659,6983158,6983157 Dl.O(d2) = 58438837,71160826,84730814,98660438,260184039,125742025,111922010,259266921,258015689,57868527,46512095,36644496,36644497,46512101,57868532,257615570,46512085,46512084,57868509,70570607,84107515,97982494,91724191,77796349,256825300,255799306,51970676,63785793,62618445,62618444,75555433,89311065,89311013,87057450,269848945,39484046,30878442,23447880,17172118,17172116,23447875,255565178,18086953,18086952,24517838,32092127,40863205,49413842,49413843,46512105,36644500,36644485,36644484,46512074,46512088,57868514,49413837,49413839,40029747,40029745,50049853,258260803,84107526,89311049,103400482,91724190,89311021,75555374,62618384,50997070,50997067,50997066,50997075,50997108,50997107,62618443,75555430,89311011,87178186,73560454,60814076,49413868,39484044,39484043,49413862,39484041,39484040,49413860,256522192,40863185,40863195,40863196,50997103,62618438,70570633,57868536,46512103,46512068,46512066,57868497,70570593,84107503,74306977,61529314,61529315,74306980,62427489,62427490,75327237,62618429,62618415,50997091,40863190,40863189,50997089,50997071,40863177,32092118,32092119,40863181,50997079,62618399,75555371,62618380,62618381,74306972,74306974,73560448,60814074,60814075,73560451,87178183,84107544,70570636,70570638,75555392,75555388,75555389,75555384,75555385,75327248,75327249,89056186,89056196,259885879,84107496,84107497,89056205,75327267,62427511,50843708,40737813,31988947,24433827,24433828,31988950,40737815,269432727,258937109,101175170,260086443,129181603,115931731,101885383,87910931,87910930,101885379,115251653,118621724,104437521,101885294,89056177,75327244,75327245,62427514,269913063,89056221,103126780,117242797,117525036,117525029,117525025,131320493,133101790,119272018,113391712,113391713,127250360,126354410,126354412,126354430,112486789,112486788,99390945,85450126,71865193,59126785,47728348,257433488,71865190,71008111,58293131,58293130,71008106,72065502,72065500,85652751,99602662,90898922,77019055,63907490,52088361,41774737,41774736,52088356,63907484,73174629,73174628,77019043,90898904,105078969,112486736,100768758,100768759,114821174,128721395,142080793,146328885,133101795,119272022,105078981,90898916,258667828,85450117,71865186,59126781,258099391,84572016,71008102,71008101,84572014,98494958,87217915,77019040,63907476,269069109,41774733,257765783,77019038,73174650,73174651,86787559,270350252,100768773,86787566,86787565,86787529,73174623,60427678,60427677,72065489,72065517,72065518,269310452,77879343,64689810,52775738,52775737,49444934,49444933,58293185,58293183,60427713,60427660,49023994,49023995,60427666,73174607,72065496,72065497,85652746,99602655,99602664,100768744,86787516,73174635,73174634,86787535,91975202,78048893,64851835,52926264,42515702,33515690,33515687,42515695,52926256,64851816,74079457,61297999,61298000,74079460,73175296,72065493,59331234,47939449,47939452,47939460,59331250,72065524,73595889,73595888,85652726,72065479,60846405,49444939,39513703,39513702,46927437,37049310,37049309,46927434,39095067,39095066,49023980,49818189,39797517,39797518,49818192,60846420,60846421,71008221,60427717,60427701,60427700,73174638,86787540,100644486,101658171,98495075,84572146,71008211,71008209,84572140,73174595,60427656,60427658,73174597,86787514,87686569,86788082,86788078,86788077,85652730,80662224,67187065,54867429,54867430,60324826,49444964,39513720,30905460,23470734,23470733,30905452,39513714,49444954,60846414,73065800,60324770,49023976,49023975,60427646,60427724,60846423,61297988,61297987,74079442,71008224,58293201,58293198,71008214,60324671,60324670,73065694,73065701,60324735,48926065,48926064,60324729,73065750,71008204,58293190,58293189,71008201,84572134,86671135,73065786,73065785,86671133,89443282,258954600,51103364,51103365,62734221,60324811,48926141,39002008,30412488,23007409,23007410,23007416,16767770,268238109,30412503,39002026,48926172,39513694,39513693,48926047,48926048,60324700,73065718,259434695,86671096,86671097,73065814,60324797,48926127,39001996,30412480,23007405,23007406,30412484,39002003,48926137,60324808,67671685,67671683,73065878,60324853,60324852,62734199,75680330,73065721,60324705,60324706,73065727,86671093,87913963,74310136,61532764,50053583,40033711,40033709,50053580,60324847,60324848,63260644,58114979,46745408,36864325,36864324,46745405,58114972,63139884,76147594,73065784,60324762,48926089,39001976,39001973,48926081,60324754,73065777,86671127,73065809,60324790,48926124,39001999,39001998,48926130,258187557,86671153,100644496,86671128,86671130,100011109,86047736,72448831,72448830,86047733,259608449,89955481,76147611,63139904,51440769,41241775,32415866,32415864,41241771,51440716,41241714,32415833,32415835,41241720,51440719,51440728,41241735,41241736,32476340,256600347,51543948,44486100,35109024,27022946,27022945,35109020,44486096,55332184,63260633,76279972,89955574,76147749,63140054,63140051,63260619,51543965,51543966,58230349,55332159,44486086,44486087,55332163,63139895,76147595,76279976,63260641,51543978,41322587,32476350,24836105,18342052,18342053,24836110,32476337,24836101,2483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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194431, s2 = 7929958, dlinesl.size( ) = 2 s1 = 11194431, s2 = 7929958, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11194431, Dl.E( ) = 14, 1.79e-05 seconds used appending s1 = 12267755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12267755, s2 = 11386414, int(edited[s2]) = 0 s1 = 12267755, s2 = 11386414, d1 = 13, d2 = 9 Dl.O(d1) = 21472467,256329759,47168024,58556932 Dl.O(d2) = 71288884,84863220,260533469,261662035,262662471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12267755, s2 = 11386414, dlinesl.size( ) = 2 s1 = 12267755, s2 = 11386414, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12267755, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 10382613, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13473972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12268075, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12268105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12268175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12268175, s2 = 12913772, int(edited[s2]) = 0 s1 = 12268175, s2 = 12913772, d1 = 7, d2 = 5 Dl.O(d1) = 257419812,37893936,257496647,61362979,61362978,74143564,87748022,258868943,61362981,49881449,39858446,31175867,31175868,39858448,258246455,87748024,99844508,85889778,259381793,260600007,119165507,104972208,104972207,270841592,99873793,108665570,108665572,113498468,99844515,85889783,72297005,257854554,269341203,72297007,257854556,38266316,29700231,29700230,38266314,48175913,59562581,66895035,80322905,90795870,259732200,270323412,72297028,85889811,99844543,260595947,99801354,258753467,59524385,48137196,38226920,29660604,29660605,258130431,259378373,99801387,85849298,72258173,59524407,48137207,48137208,258130433,85849300,99801389,113814943,113814955,271802769,127368466,113498403,99487355,85540727,85540726,99487354,258753481,258753479,99801394,113814948,99801400,85849320,259378377,99801372,85849288,85849287,99801370,113814922,113814957,260595955,260788520,260788522,165474254,153695660,141030004,127682394,113814904,99801348,99801349,260595945,141030008,153695663,157001185,165210521,263529989,193870116,193870115,193870118,193870107,185613926,262399612,153695664,153695694,165474284,262714125,153695651,141029994,127682390,127682391,141029998,153407353,140725104,140725105,144603642,144603641,157001437,168447883,178753781,187858189,195798656,193685481,193685480,263285788,211723077,212764859,273411682,263094090,178063925,167599803,155988761,155988759,167599801,178063924,176152760,262235381,153695653,165474246,176152763,185613918,184885168,175333394,164570671,152735460,152735461,164570673,175333396,263504427,200385738,195798672,187858224,178753881,168447988,157001329,144603543,131380585,131380587,144603545,157001332,168447992,176152801,178753790,262399588,185613932,262865069,168447910,157001230,157001232,168447888,178753788,168447986,168447985,261896908,155988767,260518288,130116291,143448209,155988763,155988780,261648354,155988783,144603506,144603507,262399581,178753848,185406076,185676264,178753931,168448056,157001393,144603604,144603605,157001396,168448050,157001387,157001386,168447932,157001420,144603625,144603553,131380594,117580342,103449924,89354369,75593125,75593124,89354363,103449917,117580302,103449905,89354353,89354352,103449900,117580296,131380530,144603451,157001209,157001236,157001235,167599825,167599824,178063941,187301834,178063946,178063947,187301843,195342113,193870122,193870121,200948155,195342108,187301825,262399614,178753858,178753857,173662565,162640647,150520747,257711768,109574228,95318148,95318147,109574222,123765064,137489904,150520741,162640643,173662562,168447893,157001219,144603455,144603456,150520740,162640641,173662560,183449399,178063952,167599835,261096614,143448224,261648360,178063950,178753843,168447951,157001289,144603499,144603500,157001284,272941034,168447965,157001306,157001308,168447968,273411681,178753817,168447925,168447924,167599842,155988806,143448234,130116306,271473382,155988808,157001303,144603522,144603521,155988802,155988803,272528963,261096608,130116303,130116304,143448232,154584568,141939698,141939697,154584562,153407361,140725109,140725111,262216611,175147606,164354775,261648349,139766659,152487296,164354777,262399592,165474303,176152813,178753839,187858203,179243170,168952825,157486253,155988756,143448204,130116284,116205008,102143695,102143698,116205010,130116287,262357359,165474310,155988738,155988737,261096606,130116263,116204997,116204998,130116265,143448186,130116274,116205004,102143694,88152601,88152600,102143690,116205002,130116272,143448196,145049193,258963470,168952886,260803326,157486251,157001277,144603492,131380552,117958511,103810817,103810818,89705019,75926319,260206181,131788048,145049085,134634500,134634501,147765223,160029043,171265422,179243140,262414300,145049093,145049092,157486221,168952800,179243138,188298020,188298037,196184144,263298600,200188852,192997817,188298008,179243121,168952788,260803318,188298006,188298079,179243211,168952888,168952889,179243213,179243117,179243118,171265420,171265419,176964223,176964222,262879142,186333654,179243134,179243133,262414310,202217018,207997635,212244283,264018748,201499461,206260749,206260748,262879162,204212312,273768232,206260746,264018744,200188878,263486383,175015445,164200565,152318138,139589543,126215339,126215340,139589536,139589535,272829147,175015425,184615208,184615185,184615186,178631237,168294691,168294692,178631239,175015462,164200579,164200578,175015461,262588352,164200575,175015457,178631233,168294689,168294687,178631230,187765659,195728957,187765649,178631221,178631222,183469635,192023445,199381665,192290427,192290428,199595813,192997837,273326829,164200553,152318128,139589538,139589537,152318123,164200533,164200532,168294669,178631217,178063886,167599769,167599768,178063883,262879148,200188883,200188884,203868649,197314092,189629040,180734123,180734121,189629036,192290422,183810409,174137704,174137703,175015418,184615202,183469631,173684238,162663270,259905734,258659702,95353903,258035010,123793643,137515703,150544529,162663259,173684216,178631201,262642466,144414406,144414407,151395982,272314634,125348129,111529190,261042045,142011251,128648674,128648675,271795890,114748451,111531792,111531793,259977288,146584289,154655122,142011262,128648685,119480229,105255950,91046226,77141516,64010813,64010812,77141514,91046221,105255946,100699848,258614602,60379364,60379363,73119320,77141511,64010810,64010811,257704160,95571938,81541518,81541519,83717354,83717353,97590939,100699811,114748436,125351095,111531801,97590973,257929392,70195925,83717398,97590971,101764490,101764491,105255936,105255935,258733872,83717363,83717364,97590948,97590976,102143663,88152570,74537574,61753500,61753499,74537573,270315892,101764492,97590959,97590958,83717399,83717368,70195894,70195893,83717365,83717404,70195929,70195930,258550258,271182594,100699807,258614594,73119297,86724735,260655069,103810875,89705064,89705063,258900915,74537576,74537405,61753284,50273080,40251764,40251765,46213603,36383209,27938899,20785519,14897507,14897508,20785522,27938879,256802723,31564268,24058378,17703449,17703450,24058380,268685261,50273217,61753472,70195932,257314298,83717340,97590932,102143670,88152574,74537581,61753503,61753502,258900917,259359032,74537583,74537582,74537571,61753496,50273237,40251895,40251893,36383172,27938885,20785513,20785512,27938882,36383170,36383203,27938897,27938898,36383205,46213597,57528914,70195922,83717393,88152577,102143621,88152487,83717348,70195877,57528868 Dl.O(d2) = 50273129,61753345,74537438,83717388,97590964,88152562,74537563,61753487,50273230,40251889,31564274,24058383,17703452,12521894,8483621,5484315,5484316,8483624,12521901,17703466,24058408,31564307,40251936,40251802,256032907,256032905,40251799,256587410,74537420,61753295,50273089,40251773,31564200,24058343,17703431,12521882,8483613,8483614,255191331,24058344,31564203,40251779,50273096,61753306,57528865,256235204,36383171,46213551,57528863,70195868,74537489,74537488,88152527,102143622,116204956,116204953,258337990,74537542,61753460,61753461,61753569,74537479,88152523,258373110,54027542,54027540,54027546,66131039,79515615,83717344,83717343,74537426,61753312,61753311,74537424,62945871,258278461,50273199,50273200,61753447,74537533,88152525,270463642,102143708,88152612,74537637,74537636,88152559,75926392,62945900,51271932,41093888,32284844,24675239,18210397,18210398,24675240,256587433,51271940,41853294,41853295,52177583,64010808,257704156,63783437,51968171,51968170,63783436,76893375,73037779,60299467,60299468,73037783,62945862,62945863,62945687,62945686,62945887,62945886,74537585,88152580,89705078,86639784,73037811,60299496,60299497,255619622,89705077,91046213,90772249,90772248,89704990,75926256,75926257,62945702,62945703,73037784,62945891,61753528,61753529,62945889,62945890,62945696,51271699,269453670,75926385,68127829,68127828,81265384,67797292,67797291,55729895,44821963,44821964,256587416,256076308,61753520,73037775,255223926,60299449,50273279,40251924,40251925,50273281,61753547,62945701,51271717,51271716,62945713,257139228,55455350,61753554,50273285,40251927,31564299,24058401,17703463,17703461,24058397,31564293,40251916,50273261,61753522,74537599,74537621,61753539,50273274,50273273,41471438,255031246,35225877,35225878,44606733,55455353,67797297,81265392,74537594,61753515,61753516,74537595,88152584,102143680,100632334,86660546,73055960,60315286,48916997,38993304,38993305,48916999,55455349,67797294,81265387,86660557,73055967,60315291,48917000,48917001,60315293,73055969,86660551,100632341,100632345,86660554,256601930,100632323,86660534,73055951,73055950,86660532,86660526,73055948,60315305,60315304,268474770,100632357,105131449,107852206,122260849,119327668,105131444,100632353,100632354,114675902,100632317,100632316,105131465,105131466,119327689,128571249,128255951,116649423,116649424,119327674,105131448,105131447,105339183,114681544,258356138,114675915,100632337,86660549,73055962,73055961,63950028,52129020,52129021,63950032,77064390,86398542,100355299,114379198,114681546,119573296,119573295,119573309,132279392,118451667,118451668,114675920,104280710,104280709,118451665,114675916,114675917,105339177,91118006,77200695,64059491,64059492,77200698,91118007,77200717,77200718,90455341,100636660,114681549,107852281,93428304,90140540,86398544,72802920,258046096,48668734,60065046,72802926,86398548,78263879,78263880,92290872,90947627,77064412,257167550,105131469,106589148,106589147,107852249,107852230,105393658,105393660,92290894,92290895,258384364,65936985,53869771,53869713,43344873,43344872,43344859,34245095,34245094,43344857,53869677,53869724,65936953,79300051,92290871,90947634,77064419,63950064,63950065,77064425,79299964,65936922,53869692,53015295,257742258,78263887,257167548,63950053,52129034,41813141,32890159,32890160,41813145,43344801,256613450,34245112,26368460,26368461,34245114,43344887,255248324,43344875,53869608,65936835,67190602,80665282,78263856,78263857,79299955,269071006,79299974,79299957,65936825,65936826,79299958,78263889,64990367,53015297,53015296,64990364,65936928,53869699,43344866,43344867,53015241,53015240,63950051,63950050,53869613,43344802,34245054,34245055,26368446,26368447,34245083,34245071,34245070,43344823,53869633,65936861,78263894,64990378,64990377,65936833,65936832,65937067,79299979,79299980,256111246,63950038,53869597,43344789,34245048,34245049,43344792,53869601,53015293,42575030,33558196,33558197,42575034,257424799,43344811,34245060,34245059,43344809,53015305,53015304,64990371,53869669,43344853,34245092,26368452,19635925,14072817,14072816,19635920,26368444,34245076,43344832,53869641,53869634,43344977,34245192,34245193,43344978,53869843,53869792,53869793,53869809,65936870,53869652,53869650,65936886,65936820,53869592,53869593,64990313,53015246,256668477,33558224,42575076,53015245,42574996,42574995,53015243,42575041,42575040,255638826,41813153,52129058,63950087,53015301,43344936,41813150,32890163,25180810,19635910,255239812,34245044,43344779,42575016,33558188,25768839,25768838,33558186,34245163,43344941,53015276,42575018,34245172,26368497,26368498,34245176,43344959,53869819,65937036,65937075,53869848,43344981,43344982,53869850,65937080,78263950,78263843,64990324,53015257,42575003,33558181,33558182,42575009,41813158,32890167,32890166,41813156,52129065,63950082,52129053,52129054,63950078,77064436,257756168,78263865,258370522,53015269,51925185,51925184,42575026,33558193,25768841,25768840,33558191,42575020,43344953,53869806,65937025,79300130,93428324,79300185,258997572,78263848,64990328,53015259,53015258,63950091,63950090,77064445,65937077,65937078,76837729,63734250,51925106,51925108,63734252,76837732,90708142,77064449,63950093,63950094,64990354,53015287,42575024,42575023,53015285,64990343,64990342,78263867,79300126,76837751,63734285,63734284,65936902,79300001,93428189,92290874,78263861,78263860,65937019,65937020,79300122,92290847,90947544,90947543,258370492,107852349,258997566,79300181,93428372,256709830,75663457,89426959,93428298,93428297,92290865,79300113,79300116,93428315,103523384,93492752,90947560,77064350,77064351,257756148,107852301,106589142,106589141,120837511,131461754,144688371,149609763,136342148,122357277,107930425,107930423,107930450,106589134,92290859,78263833,78263835,92290860,92290932,89426950,256189784,255308822,32164486,32164487,40943482,51086072,62717328,64990423,64990422,78263948,89426988,89426987,103523396,103523394,103523368,103523367,93492694,79356217,65989237,258482407,93492687,107930436,107930463,93492718,79356242,65989249,53920557,43395456,43395457,53920562,65989262,79356264,93492740,89427040,75663530,62717368,51086090,40943492,32164493,32164489,40943483,51086073,62717333,256709834,64990416,64990417,78263942,92290952,104640848,118820947,122357297,259112416,106906308,92587629,92587630,106906312,121172748,118820942,118820943,132639201,133655146,258362486,104640840,104640842,112754624,258960630,84837083,98764426,260531665,139965048,260362432,120837523,106589187,106589186,120837521,133655149,119785222,105551717,105551716,108651178,112671043,256094178,71179883,71179884,80306212,66876490,66876489,78540129,92587649,95650563,81617656,68128003,68128005,81617660,95650564,99494970,258362492,108651187,106589162,92290911,92290910,86451078,72855663,60118685,60118684,65249987,53260412,42807433,33775077,25965334,19299263,19299264,25965337,33775083,42807445,53260444,60684447,49283356,39356345,268101168,268425104,65249957,65249956,256607496,80306314,80306313,268937014,256917024,80306233,66876507,54618566,54618567,66876509,258989106,65250009,65250010,65250023,65250024,66876537,80306257,81617310,68127652,55729661,55729660,68127651,81617307,78540112,65250005,65250006,78540115,92587641,94363069,80306282,66876589,54618690,54618691,66876591,255634708,80306279,66876577,66876578,55729659,44821659,44821660,54618654,54618653,65250022,54618663,54618664,66876524,54618589,54618578,258503831,60342558,48945607,43876108,34605551,34605550,43876105,269613617,80306225,72193530,66876543,255634706,34605576,34605575,43876136,54618600,54618547,43876090,34605541,26617672,26617671,34605538,43876086,54618539,66876482,58457706,58457705,66876659,66876660,80306200,80306240,66876567,54618658,43876185,34605608,34605607,43876182,54618611,54618579,43876121,43876122,53260392,43876116,34605555,26617680,19808447,19808446,26617675,34605548,43876101,34605631,26617721,26617719,34605629,43876150,34605583,26617692,26617691,34605579,43876143,54618541,54618542,44821663,35395602,35395603,44821664,54618636,257161006,54618770,54618586,54618584,43876125,43876126,43876173,54618644,257161000,43876316,39022525,30432851,23026658,23026660,30432855,39022532,48945612,48127399,38217230,29650853,22298840,22298839,27269366,20333609,20333607,27269361,35396208,43876297,34605690,34605691,43876298,54618765,54618704,43876239,43876240,54618705,66876602,258107194,54618681,54618680,55730096,55730097,258503837,54618725,43876258,34605665,26617749,19808487,14188657,255314021,26617754,34605675,43876274,54618741,66876630,71946208,59207275,47807972,47807973,59207277,71946211,71946214,80306289,66876601,60342530,48945582,39022509,39022510,257581101,64980763,66863444,54605340,54605339,66863443,59207236,59207237,54618720,43876254,43876255,47807920,54618782,54618781,66876662,66876619,66876618,71946192,68127011,55728945,55728944,68127010,81616885,68127580,66876650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12268175, s2 = 12913772, dlinesl.size( ) = 2 s1 = 12268175, s2 = 12913772, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12268175, Dl.E( ) = 8, 1.12e-05 seconds used appending s1 = 15301001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12268739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12268739, s2 = 8434790, int(edited[s2]) = 0 s1 = 12268739, s2 = 8434790, d1 = 72, d2 = 76 Dl.O(d1) = 262964051,263365738,209750347,209750349,263365740,160341398,160341397,171544094 Dl.O(d2) = 262069314,260972872,113753519,99739181,99739180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12268739, s2 = 8434790, dlinesl.size( ) = 60 s1 = 12268903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12269059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12269059, s2 = 7208936, int(edited[s2]) = 0 s1 = 12269059, s2 = 7208936, d1 = 0, d2 = 30 Dl.O(d1) = 129441252 Dl.O(d2) = 264026798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12269059, s2 = 7208936, dlinesl.size( ) = 34 s1 = 11189560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189560, s2 = 3719429, int(edited[s2]) = 0 s1 = 11189560, s2 = 3719429, d1 = 23, d2 = 43 Dl.O(d1) = 100847865 Dl.O(d2) = 142151305,128796038,128796036,114898744,100847844,86866628,73253728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189560, s2 = 3719429, dlinesl.size( ) = 32 s1 = 12269173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12269173, s2 = 14865378, int(edited[s2]) = 0 s1 = 12269173, s2 = 14865378, d1 = 7, d2 = 3 Dl.O(d1) = 27059261,35144524,29051960,29051959,37600098,37600135,47504132,254816038,254174770,13382308,9443322,6190648,6190647,9443318,13628354,9332057,9332058,13628359,15529492,15529493,21547118,15637133,10820993,10820992,15637131,21675426,16299911,13686910,9373225,6140018,6140019,9373233,12692881,12692882,17915511,24298273,24298259,24298258,18533244,13168477,13168476,18533238,22963070,16726578,16726577,19166869,13686841,9373181,6139987,6139988,9373185,13686851,13686890,14545646,11857551,11857552,16942402,19166965,16455676,11465551,11465552,16455724,13686773,9373131,9373130,13686769,19166773,25816252,23215834,23215835,27049470,25816264,19166785,13686779,13686780,16943698,23215868,19162206,19162207,16943080,16943079,23215114,22646431,16455736,16455738,18533247,25076035,30018637,25816425,25816424,33616309,30018742,22646387,22646386,23213819,16942029,16942028,22963061,22963060,24299761,22646359,22646360,20156612,20156613,16455721,11465548,7626284,4825027,2907578,2907579,4825032,7626292,11465561,16455742,22646438,30018815,30018768,30018767,30639058,23215844,16943666,11858496,7925260,7925258,11858494,16455692,11465535,11465536,16455697,22646382,27049448,27049449,255969688,40174475,50198084,50198108,40174514,31489388,31489390,38951190,47008328,40174479,31489360,23992106,23992108,27049440,35135131,44512067,55358687,48870905,40174489,31489371,31489370,23992128,17647598 Dl.O(d2) = 12475127,17647601,12517166,12517167,17697491,17508128,17508129,23843817,23843826,31335801,254850148,50044028,50044027,53097520,42646905,40014136,31335808,23843834,23843835,31335811,40014142,40014232,50032753,40014095,40014094,31489338,23992092,17647581,17647580,23992090,25818903,19168772,13688205,9374188,6140799,6140800,9374190,13688210,19168781,25818917,33619251,40241782,42646894,50032888,50032889,61511114,61681179,61511057,50032788,50032787,42646957,42646958,40014239,40014210,40014211,38215637,29649153,22297259,16152065,16152066,22297261,254850124,48125930,40013926,31335522,23843473,23843471,31335515,40013912,50032639,40014214,40014213,42646872,37941143,29375396,29375399,29375409,37941152,47860159,42646899,42646900,53097517,50261131,50261133,50260870,40241439,31555333,31555332,33619252,30798587,23371985,23371983,24050986,25818858,19168750,19168752,25818863,33619263,31555789,31443773,31443774,37941147,37941146,40023956,31344086,23850682,23850683,31344092,31443780,31443779,40123161,40241699,40241701,42189402,42189401,52548172,50032642,50032631,40013902,31335509,31335508,31443734,31443733,40123116,50144197,50144236,61625998,50261164,40241754,40241755,40241718,40241717,38528323,38528324,40241769,39401809,30798576,24252569,24050981,24050980,31443781,31443786,23952129,17606166,17606167,23952132,254850142,22044610,15941681,11062203,11062204,15941683,22044614,24051332,17697515,12517184,12517183,17697511,24051329,31555685,40241704,50260872,40241441,31555730,24252581,24051005,24051006,31555344,31555404,31443772,254933532,40458737,40241400,31555272,24050937,24050936,31555268,24051336,254604416,38772516,30189028,22799300,254864412,254864410,8479977,8479978,12517197,17697536,22467273,29833878,38405634,31555339,24051002,17697222,17697221,24051000,24050991,17697215,12516917,8479715,8479716,12516919,17697217,24050993,22467221,22467220,29833840,38405606,40241688,38405602,29833837,22467218,22467217,24051342,17697521,12517189,8479974,5481428,3373037,1984880,1984879,3373035,5481423,8479965,12517172,12517225,17697552,254604398,22467229,22467228,24050964,22467274,16299312,12517241,254604396,24050939,31555276,31555761,29833825,22467202,16299251,12517305,12517304,17697676,24051314,24051313,22467255,16299293,16299292,16299276,11340938,7536486,4767384,4767385,7536488,8479981,12517202,11340962,7536505,7536504,11340957,12517179,17697505,24050960,24050959,24051447,24051441,17697591,17697593,254303282,17697307,22467275,17697205,12516913,8479713,8479712,12516909,12516956,8479749,8479750,7536475,7536476,11340925,16299261,22467214,22467197,16299249,16299250,12517324,12516973,8480052,8480051,12517319,11340952,254106582,2873828,1667945,1667946,2873831,4767400,7536510,11340969,16299303,22467262,22467263,17697580,17697582,17697192,268001902,5481449,5481448,8480009,12517246,17697595,24051444,24050968,17697200,16299268,12517007,8479810,8479809,12517003,13900413,17697634,24051494,29833856,29833869,22467249,22467250,24051488,24051457,17697612,12517257,12517258,17697614,24051464,22467248,16299287,11340946,7536497,4767393,4767392,254136682,16299279,22467240,29833865,31555847,24051476,17697622,12517264,8480019,5481454,3373054,1984890,1984891,3373057,5481459,254188176,12517265,17697626,17697735,17697304,17697305,24051081,25701385,19075283,19075284,17697462,12517311,12517313,17697630,12517270,12517271,17697632,24051492,31555854,31555408,24051089,24051090,17697683,17697682,24051465,22467271,22467270,17697648,12517281,8480032,5481461,3373059,3373061,3820989,6106789,9322647,13614915,254303284,8480046,5481466,5481465,8480040,12517301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12269173, s2 = 14865378, dlinesl.size( ) = 2 s1 = 12269173, s2 = 14865378, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12269173, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14865377, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 308975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 308975, s2 = 11541446, int(edited[s2]) = 0 s1 = 308975, s2 = 11541446, d1 = 0, d2 = 64 Dl.O(d1) = 7670735,255934479 Dl.O(d2) = 194263470,201294826,207212788,212093423,216080652,265022634,219383681,219383683,219383696,219383693,219383692,265574345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 308975, s2 = 11541446, dlinesl.size( ) = 26 s1 = 15110346, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15267849, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12269651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13665192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11018451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018451, s2 = 11253530, int(edited[s2]) = 0 s1 = 11018451, s2 = 11253530, d1 = 77, d2 = 127 Dl.O(d1) = 268626185 Dl.O(d2) = 100412096,100412090,100412089,114436760,128313381,258862352,114436767,100412095,258239890,114436763,128313383,128313382,141662821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018451, s2 = 11253530, dlinesl.size( ) = 24 s1 = 896120, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 896120, s2 = 13631448, int(edited[s2]) = 0 s1 = 896120, s2 = 13631448, d1 = 10, d2 = 16 Dl.O(d1) = 22823100,254903022,11579361,16602789,22823097,30215249,38799279,48720250,38799276,38799277,48720252 Dl.O(d2) = 258408028,117956551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 896120, s2 = 13631448, dlinesl.size( ) = 18 s1 = 16361777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12494634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12270527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12270527, s2 = 11038592, int(edited[s2]) = 0 s1 = 12270527, s2 = 11038592, d1 = 19, d2 = 10 Dl.O(d1) = 268687417,272173898,91716557,77788750,64605880,52705317,47850383,37930168,37930169,256434607,30151466,38733251,42425698,37745371,37745373,47667248,37745391,29184417,29184416,37745388,258243194,15341366,254729431,254224745,861756,861755,1519864,1473466,833320,469848,469849,833321,1473469,2558166,2558140,2558141,4278569,6820548,10356500,15028787,20936975,28113927,25738476,21906313,15825332,15825331,21906312,255377905,255377907,28259035,255886780,19105415,13640972,9341082,9341083,13640977,19105428,16006907,11113177,11113176,16007022,11112840,11112841,16007031,16006865,11112707,11112706,16006858,15495042,12365874,12365872,17532672,15825319,10966667,10966665,11113311,7370749,7370674,7370672,11113201,11112721,7370591,7370592,11113068,7370551,7370550,4656257,2805105,1627262,1627263,2805109,4656272,7370629,4656365,4656364,7370798,11113377,16007468,11113655,11113656,16007466,11113259,7370715,4656325,2805135,2805131,4656317,4656472,7371002,7370545,4656229,2805224,2805021,2805020,2805296,2805295,4656636,7371251,255075053,255449995,22121012,22121013,256382471,29276241,21952474,21952475,29276243,268935737,38018145,47931630,47932030,38018080,29455992,22121990,22121991,29455993,29455232,29455233,31521086,29455739,22121728,22121730,24019731,24019732,29454912,22122185,22122184,29455766,29455849,268299547,13538677,9267978,6070583,3798201,2274979,2274978,3798199,6070579,6070574,6070575,254928527,18973750,25581587,33340990,42321881,48711505,48711504,59324029,47932015,47931580,38017409,31511203,24010995,17663991,17663990,24010993,29455160,22121097,22121098,29455163,38017398,47931570,47122164,47122163,38789246,30204482,30204478,29216550,21902271,15822503,15822504,21902273,29216556,37777538,37631145,29080818,29080819,37631151,38000060,47916067,50026706,47697923,40425536,31731679,31731678,33143924,25403839,25403841,33143931,30206767,22815068,22815069,17664003,17663995,12490898,12490899,17663999,24011004,31511220,38790627,31511105,24010923,17663945,12490872,12490871,17663940,24010916,31511094,40197033,40197042,50219179,47932051,39473626,37740874,29180053,29180052,37740870,36561464,36561463,46425667,49840697,40197095,31511183,31511184,37631136,47536785,48064031,38151233,38151232,48064027,40425526,40425527,38790245,38790246,38180999,29613922,22263003,22263001,17664010,12490905,8460117,5466350,3361355,3361354,5466345,8460099,12490881,17663959,24010941,31511057,24010885,24010886,24010907,30205505,38240056,38240057,48149329,48717523,38796352,255940333,255905330,38796350,36753843,28258857,21057746,255805423,31803896,30204553,30204554,38248323,38248322,48157512,38791446,38248397,29683472,22331798,22331797,29683470,268221630,50548947,50548948,48712286,38790368,38790092,30205342,22813720,22813721,16595396,16595394,22813739,22324136,16178899,11245610,11245609,16178898,16179442,15125856,10432835,6877999,6877998,4317501,4317500,6878073,8295621,8295620,254166742,4565528,2745780,1591373,1591372 Dl.O(d2) = 256361621,36626879,28153291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12270527, s2 = 11038592, dlinesl.size( ) = 14 s1 = 10519065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12270721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11060505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060505, s2 = 10359041, int(edited[s2]) = 0 s1 = 11060505, s2 = 10359041, d1 = 13, d2 = 92 Dl.O(d1) = 30004572 Dl.O(d2) = 264278070 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060505, s2 = 10359041, dlinesl.size( ) = 28 s1 = 12495034, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11133313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14276892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14276892, s2 = 6601078, int(edited[s2]) = 0 s1 = 14276892, s2 = 6601078, d1 = 19, d2 = 13 Dl.O(d1) = 25507912,25507911,255667506,8990474,8990473,256225423,20175242,14475363,9959708,6545867,4100924,2453109,2453110,4100928,6545875,9959721,14475383,256225427,258536477 Dl.O(d2) = 256420687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14276892, s2 = 6601078, dlinesl.size( ) = 8 s1 = 11310687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11310687, s2 = 11205546, int(edited[s2]) = 0 s1 = 11310687, s2 = 11205546, d1 = 3, d2 = 9 Dl.O(d1) = 114914316 Dl.O(d2) = 258201493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11310687, s2 = 11205546, dlinesl.size( ) = 14 s1 = 11326277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326277, s2 = 11205702, int(edited[s2]) = 0 s1 = 11326277, s2 = 11205702, d1 = 4, d2 = 10 Dl.O(d1) = 125537231,125537232 Dl.O(d2) = 83950040,70423289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326277, s2 = 11205702, dlinesl.size( ) = 14 s1 = 11205731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11205731, s2 = 11049194, int(edited[s2]) = 0 s1 = 11205731, s2 = 11049194, d1 = 30, d2 = 20 Dl.O(d1) = 258212202,20888621,20888622,24287619,31801881,40496956,41756184,36523800,28058428,28058426,36523796,256009870,255336976,7427850,4693669,4693668,7427847,11194584,16115779,21754103,15700404,15700405,16115511,16115510,11194453,9924673,9924675,8330461,6522801,4086954,4086946,4086949,6522786,9924611,14427851,16132426,16132429,22274781,19250534,19250529,20118312,20118311,24484600,18061783,12805285,12805288,18061796,22835320,16614201,16614205,18155918,12874791,12874793,18155926,18062405,12805650,12805647,18062395,19696655,19251016,19251014,18062293,12805581,12805580,18062287,16116396,11194930,7428040,7428038,11194918,16116372,17525872,17525875,22098215,22098216,20171864,20171863,21876686,29188457,33089136,33357147,33089131,29047562,21754225,21754224,21754265,15700504,15700503,19696696,19250036,19250037,23994136,18061701,12805243,8706829,5668236,3526023,2098591,1208277,1208278,2098598,3526034,5668258,8706880,12805331,10669915,10669916,10669939,7047081,7047079,10669931,15434078,21426313,28674108,22253740,22253742,19250478,14472924,9957983,6544774,6544775,9957989,14472944,20172075,19641862,19641861,24484781,18061917,18061916,24484775,20117941,14427552,14427550,16115577,15001642,15001641,20906657,28079326,257775465,259562206,50824732 Dl.O(d2) = 5969829,9123212,13350929,11646069,7758757,4913864,4913865,7758759,268311182,36530121,28063980,28063978,36530118,46390314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14196178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10919330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10919330, s2 = 11399370, int(edited[s2]) = 0 s1 = 10919330, s2 = 11399370, d1 = 63, d2 = 51 Dl.O(d1) = 256804655,25731324,19099010,19099007,25731318,33510375,42509826,46481991,36615581,28141781,20963516,15053817,15053818,20963517,28141782,36615583,46481994,57838047,70539868,70539869,84076842,259263839,70539781 Dl.O(d2) = 265380044,221902612,219074065,215724558,264201926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10919330, s2 = 11399370, dlinesl.size( ) = 24 s1 = 12272051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12272051, s2 = 10600658, int(edited[s2]) = 0 s1 = 12272051, s2 = 10600658, d1 = 3, d2 = 22 Dl.O(d1) = 19035280,19037283,19087628,19102829,13638941,13638942,15915228,11036536,7310878,5857871,3656690,3656692,5857879,3832006,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,3754079,2248127,2248128,3754084,6002926,9171611,13414071,18827310,19081300,15492860,15492859,21499767,24192421,24192422,23765501,23765502,25691534,22558648,22558647,255478273,11400112,255098745,254845895,5355243,5355244,8301063,12291300,17437591,256009121 Dl.O(d2) = 1549983,881199,881196,1549972,2675823,254502621,10709249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12272051, s2 = 10600658, dlinesl.size( ) = 26 s1 = 12272085, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022511, s2 = 11028310, int(edited[s2]) = 0 s1 = 11022511, s2 = 11028310, d1 = 31, d2 = 20 Dl.O(d1) = 12126840,8158499,8158498,12126839,17244355,255474588,29647669,27188378,27188377,27188598,20264705,14539536,10003597,10003596,14539534,20195397,14490410,14490409,18332861,20195921,27095105,23193170,23193171,29887844,22534265,16360761,11385666,7564242,4782885,4782887,7564246,255095007,11319731,11323527,10914447,7218610,7218609,4754075,4754074,5178411,5178412,255095003,7516276,7516277,11319720,7517734,254356809,1662429,945885,533443,299194,165780,165779,299191,533435,254167617,2864204,4752444,7517633,11321342,7518927,4753410,2864802,2864803,4753413,7518933,7517244,4752485,2864225,1662414,1662413,2864223,4752481,7517686,11321398,255474455,29818409,32372322,41190723,257732509,61831724,63516692,63516691,72099870,270350553,100781262,97689598,258453538,85686086,99634996,90453918,90453917,259062651,64986980,53012056,53012057,64986984,71006554,58291223,46925293,37047086,37047085,46925288,58291215,67682102,55342315,44496080,44496081,44495960,44495961,55342168,67681923,81148056,85686071,85686068,270564756 Dl.O(d2) = 256074629,24651573,32250332,41043174,50918953,40800220,32041026,24476801,22871963,16643892,11611883,7731648,4894585,4894587,268921706,256743678,29380289,25828534,25828535,30815132,23385914,23385912,25828582,22757228,22757230,25489874,33239450,37962338,29402780,22072378,22072379,29402783,37938079,29371755,29371756,29303058,29303056,23125382,16865350,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,7338395,7338394,255071769,22051412,29303815,21976312,19039979,254931997,1325213,254113809,242610,134126,72937,72938,73375,39718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022511, s2 = 11028310, dlinesl.size( ) = 8 s1 = 12272225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12495786, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12495786, s2 = 14207893, int(edited[s2]) = 0 s1 = 12495786, s2 = 14207893, d1 = 27, d2 = 30 Dl.O(d1) = 39109165,49038954,60442820,60442819 Dl.O(d2) = 194544843,201533673,207416090,208472295,202792825,196030696,188130799,272949398,166906184,155219937,142582172,129210660,129210655,115282108,101203687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12495786, s2 = 14207893, dlinesl.size( ) = 2 s1 = 12495786, s2 = 14207893, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12495786, Dl.E( ) = 32, 9.06e-06 seconds used appending s1 = 14277022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10642098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10147763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11185769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11185769, s2 = 7003439, int(edited[s2]) = 0 s1 = 11185769, s2 = 7003439, d1 = 9, d2 = 10 Dl.O(d1) = 258824529 Dl.O(d2) = 261214676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11185769, s2 = 7003439, dlinesl.size( ) = 14 s1 = 11184645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184645, s2 = 13563368, int(edited[s2]) = 0 s1 = 11184645, s2 = 13563368, d1 = 8, d2 = 19 Dl.O(d1) = 258753288 Dl.O(d2) = 255569677,12405887,254596579,254271505,626950,1117359,1956088,254404285,8384269,255179829,256527037,30165933,254854198,21934640,15847024,10982271,7269343,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,11543201,7679628,4859331,4389897,4389896,6986330,5402250,5402251,8362283,254595392,21106188,15161022,10455573,10455572,268377119,256297301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184645, s2 = 13563368, dlinesl.size( ) = 14 s1 = 11115073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11115073, s2 = 9277507, int(edited[s2]) = 0 s1 = 11115073, s2 = 9277507, d1 = 91, d2 = 115 Dl.O(d1) = 257509017,72112740,85698946 Dl.O(d2) = 202965341,208617313,213262216,217062709,220219587,222892852,225195060,227195931,228943190,230485058,231857117,233092260,234208984,235223871,266621947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11115073, s2 = 9277507, dlinesl.size( ) = 12 s1 = 8197583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8197583, s2 = 8311754, int(edited[s2]) = 0 s1 = 8197583, s2 = 8311754, d1 = 14, d2 = 7 Dl.O(d1) = 39411579,30806539,30806538,30806535,23378415,17108649,12022744,8083016,8083017,12022747,17108653,269022444,49341119,60744238,73493263,87111967 Dl.O(d2) = 85109167,71537696,58808605,256410202,28970375,21688549,15649337,10831785,7160209,4509662,4509661,7160189,10831528,7160040,7160044,7160161,7904845,5961241,3727864,3727865,5961244,9110752,255252951,25306445,33033026,41976102,255920676,28048075,36512204,46371129,38564339,256965801,30691686,30691685,258005216,29925871,22565975,255919471,38486367,48389289,59772229,49365964,49365965,48824021,48385022,38482436,38482437,30832233,23403791,23403793,23404448,30833139,30833248,30877750,23447306,21947987,21947986,23404493,30833187,23404551,17131139,17131140,23404552,30833247,30832658,23404073,17130844,12039044,12039041,17130832,16364295,16364296,22538858,22538857,21831587,15763163,10916844,7219873,4548924,4548926,7219878,10916858,15763192,21831636,29139022,31569843,31569842,40257340,258077826,255429417,254750223,4549032,4549241,267788453,900834,508153,284945,284944,508147,900824,267788449,4549181,7220338,10917626,15764255,21832950,22174429,22178220,22178222,24913307,32565550,256091776,47997263,49250752,47501788,37597875,29049961,29049963,37597877,38451526,37045807,37045808,29894544,22539262,268017402,29519957,36803508,28306728,28306729,36803511,38084036,38082888,29518306,22176140,22176139,29518304,29518358,29518359,38082848,29518352,22176181,22176182,29518355,29518645,29518644,38083236,47995492,58881113,58881114,53831063,52888871,52888870,58149637,58149638,70863816,78003711,78003712,84438477,70881055,58166936,46799560,46799561,58068539,46696190,46696189,42482281,33486523,28317141,28317142,28912223,37451830,47358279,37451787,28912192,21637586,15605747,15605748,21637579,15605744,15605743,21637576,28912180,29755639,28317087,21106873,21106872,28317086,36813293,46696279,52888885,58130672,269815102,40322031,31633176,31633174,36884089,28387596,268607989,36884233,40141171,40141172,50164930,58068527,57998205,46622168,46622170,46762582,36884158,28387643,21169182,21169181,28387639,36884151,46762578,46762650,47838894,46763036,46763037,58130930,58130799,257419873,36884322,28387767,21169263,15211324,15211323,255813319,36884320,46762592,58130601,58130749,46762806,46762807,46762830,36884557,28387955,28387954,36884554,29223266,29223264,37785101,256925508,59104284,47706128,37785185,37785186,47706130,47706175,47706176,59104298,59104234,47706057,37785135,37785136,269330813,55323779,44477548,256806440,48764000,39960081,39960080,39960127,49976408,39959811,31284894,31284893,23798645,23798646,31284905,29453184,29453185,33062099,256633811,52344794,61701886,268640148,255822648,17664818,12491447,12491451,17664826,24012028,31512373,40198210,256955658,47980293,269336553,61701892,50220164,40198177,40198178,46901609,46901607,58267514,70982573,72062639,72103191,59370519,47980255,38068091,29504811,22165103,22165102,29504807,31458759,23963736,17614211,17614212,23963738,28219424,255375425,15100219,21024309,28219428,27127675,20222655,20222656,21304087,28525886,21304009,15334994,10591321,10591322,15334998,21304016,28525897,28526047,21304129,15335065,15335064,21304124,255012610,37023983,37023982,46901680,50165030,40141329,33652619,25848235,19193296,19193297,25848238,33652622,28525928,21304037,15335008,10591330,10591331,254489356,28525934,21304097,255012598,43871051,43871052,42694460,42694459,53144963,54613513,48939702,47997906,38085825,29521388,29521389,30427507,23022180,16781384,16781383,16024557,11126277,11126276,16024555,22142258,29479704,22176409,22176410,20834545,20834544,27998851,35363796,29479732,29479735,22176161,22176162,29518325,38082900,46755948,37144223,256091682,29141076,21833348,15764612,10917892,10917891,15764611,21833345,29141073,256900231,29141071,29141069,30756910,37698899,29754619,22393940,16233939,11285890,7492546,7492547,11285893,16233946,21830790,15762474,15762471,21830799,29138232,37699031,47622311,46516795,36649610,29137992,29137991,36881279,28384715,21166701,15209559,10491671,10491670,15209556,15078910,15078911,20992698,28173829,28173884,20992736,15078937,15078938,20992741,28173896,36649490,46516660,48234089,38324122,29754578,22393905,22393906,255912864,28174082,255093962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8197583, s2 = 8311754, dlinesl.size( ) = 30 s1 = 12274333, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12274623, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11383775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12274773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12274833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11227183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11227183, s2 = 15342179, int(edited[s2]) = 0 s1 = 11227183, s2 = 15342179, d1 = 50, d2 = 54 Dl.O(d1) = 259610357,118519162 Dl.O(d2) = 259610270,64753023,52833722,42429833,33437583,25667963,255630706,19064683,19239426,256159779,34647496 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11227183, s2 = 15342179, dlinesl.size( ) = 22 s1 = 12274993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12274993, s2 = 11244366, int(edited[s2]) = 0 s1 = 12274993, s2 = 11244366, d1 = 17, d2 = 12 Dl.O(d1) = 63399516,51656112,41414426,41414427,46758112,46758113,48698914,38776664,38776665,39020739,31661567,31661566,40356675,255855308,63399492,73451975,61732681,50254294,40234873,31548923,24045367,24045368,31548928,255511806,61732692,70840854,84398196,71557177,58829798,256891196,58126455,58126456,63399488,51656085,41414403,37721027,29161217,21852791,21852790,18401071,18401072,24904970,32555398,24904985,18401077,18401078,24904987,32555421,41414431,51656117,53377143,255971328,26043130,19364253,255139378,9501848,13850967,19364251,26043128,33865177,42910780,51656090,50254300,40234880,31548929,24045370,17692944,15208432,10490772,6917608,4345542,254492843,10490816,255149827 Dl.O(d2) = 256278261,15002636,255365501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12274993, s2 = 11244366, dlinesl.size( ) = 14 s1 = 12497386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10395920, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12275665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12275665, s2 = 11243872, int(edited[s2]) = 0 s1 = 12275665, s2 = 11243872, d1 = 0, d2 = 11 Dl.O(d1) = 13788183,19287132,25951527,33759631,40566877,40566876,258302175,257475259,47508375,58276615,70991083,74497149,61715782,61715758 Dl.O(d2) = 61715755,74497108,86812928,73200564,70990907,70990906,72039275,72039276,60486422,60486423,73233336,76679435,63592986,51806713,41528120,41528121,51806715,63592966,73233356,60766978,60766981,73233388,60486472,49363956,39434739,39434738,49363954,60296029,63592969,63592970,76679423,76679467,63593017,51806734,41528134,41528133,51806702,51806703,63592975,257838562,104710051,102345508,102345507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12275665, s2 = 11243872, dlinesl.size( ) = 6 s1 = 11243871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243871, s2 = 12275666, int(edited[s2]) = 0 s1 = 11243871, s2 = 12275666, d1 = 11, d2 = 4 Dl.O(d1) = 85113236,85113237,78697820,257838563,42924269,33878672,26055618,19374701,19374703,26055622,33878679,41528357,41528084,32641011,24970138,18450398,18450399,24970140,32641224,41528408,41528233,32641108,24970069,24970066,32641106,41528231,51806835,63592991,63592990,76679439,73233363,60486450,60486448,73233360,60543496,49144011,49144010,60543495,73286827,86896908,87761720,78475538,78475537 Dl.O(d2) = 78475304,78475302,92515012,86218354,72619940,59881542,257475258,258302174,38032274,38032275,32348971,24733244,18260272,18254937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243871, s2 = 12275666, dlinesl.size( ) = 6 s1 = 14277318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12275783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15242796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14277354, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12497852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12276153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12276227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236945, s2 = 13310224, int(edited[s2]) = 0 s1 = 11236945, s2 = 13310224, d1 = 141, d2 = 189 Dl.O(d1) = 256961894,40414541,31722694,24215596,17845240,17845241,12638163,12638162,17845211,24215562,23578119,21015080,15093563,10409940,6862040,4306556,4306555,6862036,10409934,15093551,21015067,26630338,19819070,14196670,14196671,19819071,22886659,24106211,17747440,17747439,17122297,12032651,10247336,6732848,6732849,10247339,14090195,14090194,15466726,15466725,15466690,15466691,20797212,23761289,17433581,17433579,22794870,20795671,17291426,17291425,23604424,24106297,17747506,16575641,16575642,19655793,19655792,24832048,20795690,14903039,10246781,6732548,6732547,10246778,14903034,20795686,15598028,15598027,18837878,13421509,9176478,6006037,3756141,2249612,2249613,3756144,6006040 Dl.O(d2) = 40186833,254738898,17658365,12487131,12487130,17658337,12487143,12487141,10777690,7121227,4483684,4483683,7121223,7120175,4483010,4127788,4127787,6588579,10024672,14568211,20300571,20302024,14569416,14569417,20302028,22167848,22167846,21609050,15580317,10777723,7121246,7120992,4483544,4483546,7120999,10777353,14569640,14569641,14568144,14568142,20300511,27229141,21606954,21606953,28882894,22270486,21487295,15482773,10706636,7073415,254736093,15482612,15482611,21487058,24003325,22268937,21487373,21487020,21487019,28745205,29620326,29620325,29620267,22269310,22269311,24012548,24012547,22269502,16128333,11203884,7434194,7434195,11203889,16128339,22001851,15901868,15901867,21487159,16128201,11203803,7434152,7434151 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171817, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11112915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112915, s2 = 11574982, int(edited[s2]) = 0 s1 = 11112915, s2 = 11574982, d1 = 24, d2 = 18 Dl.O(d1) = 268599454 Dl.O(d2) = 237209273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112915, s2 = 11574982, dlinesl.size( ) = 32 s1 = 15268265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14277419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240597, s2 = 14306643, int(edited[s2]) = 0 s1 = 11240597, s2 = 14306643, d1 = 31, d2 = 19 Dl.O(d1) = 269800172,22176989,255077609,7392493,4670372,4670371,7392489,11145324,13506588,18943133,15486232,10708946,7074853,7074854,10708951,15486203,15486200,21492080,28751674,26580682,19777684,19777682,20898810,19777868,14166379,14166380,19777874,19777741,14166290,9739166,6404279,4018038,4018039,6404284,9739179,14166317,17084826,17084825,268378834,10974890,15217243,10496865,10496866,15217248,15220428,21181321,28402025,36892598,28405836,27937659,27937660,32381717,32381718,268215892,21841047,21841046,15778187,10929668,254162432,21847647,29150405,29144254,29144255,29157395,29157394,37702611,29141728,21833995,255057212,10922740,10922739,15770422,15777753,15777754,21848385,29144824,29144825,254342682,21835404,15766334,15766335,15767192,10919821,10919822,10923344,15768769,10921125,7223025,4551094,254162482,10921111,15768748,19092004,25722875,26335946,26335944,34209794,34210510,34210509,254821054,19608035,19608034,24905369,18401454,13070463,13070464,255632263,22064606,22064607,26336226,262547445,182781513,191433482,195171736 Dl.O(d2) = 187097287,262812345,262746076,10330400,10330399,10366760,10315297,6785527,4267670,4267669,3717961,2226362,1291324,737080,737079,1291318,2226345,2540927,2540926,4250326,6780657,4279523,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467155,1467159,2546740,2547914,2547915,4261897,6796874,4299491,4299490,5922667,3703434,2562178,2562179,4285560,6830849,6819396,4277761,2557614,1473139,1473138,2557612,4277757,6819387,6758293,6758292,10282552,6799788,6799789,10331622,7775001,7775002,9062269,5925467,5925468,5954152,9086602,9086603,6785410,5956104,5956106,5931968,5931969,6838668,6838669,6838788,4290943,2565420,1477240,1477241,2223960,3713905,5939499,9081425,5949247,254643673,9103189,8135722,8135723,12097211,14997251,10327771,6796301,4261487,4261486,6796299,6838830,6838831,6773143,4245345,4245347,4266311,4266312,6802957,8131058,10387492,8381426,254404219,1955708,254404221,8381430,255037832,5409458,8382559,12403441,17575264,12671208,12671207,11244581,8364041,5398432,3319450,3319448,5398427,8364028,12377552,17381227,12248150,11619209,11619208,11619006,7737754,7737755,7737814,7737813,7643401,4835462,4835459,7643390,9246064,6055601,6055600,9246061,13512904,10689911,7062068,4446254,2671064,2671067,2671059,2671058,4446238,7062027,10689834,15460284,21460265,21926804,15840371,10976924,7265471,7265472,4581853,4581854,5406041,5406040,8376728,12395273,12436658,12436657,8405386,8405387,7843477,7843476,8280391,12261189,12261195,12261194,11168935,8373000,8372997,5422815,5422816,7902900,8386530,8367937,6064689,6064688,9259660,12381774,12381775,8372313,5403368,5403366,8372306,12389226,17560029,23805199,23805200,30868549,23440323,17166742,12070553,12070552,12376828,12376827,268256457,17722268,24079465,29689159,22336549,16188815,16188814,22336547,255747404,16561532,17555676,17555675,17555688,12385135,8369404,6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346289,8287469,12272616,17414016,23738882,31222397,255537662,17413989,17413213,17413214,12401246,8381003,8381004,12401248,17573087,22775809,30165304,255543892,18323382,17573100,12401261,8381009,267999007,17573095,17412156,12271128,12271127,12405500,8384192,8384191,12405498,17577295,20141489,27034323,28722027,257595782,13398441,13391570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240597, s2 = 14306643, dlinesl.size( ) = 22 s1 = 15115908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15115908, s2 = 11093292, int(edited[s2]) = 0 s1 = 15115908, s2 = 11093292, d1 = 10, d2 = 12 Dl.O(d1) = 257742866,28456307,21229882,21229884,23299618,23299619,30716800,30716799,32086652,257709699,75551574,258628412,260846977 Dl.O(d2) = 256622301,25147362,25147361,24704222,18881318,13455237,9201456,6024274,3768798,2258107,2258106,3768795,254651241,3770528,3770527,6026971,9205811,13461643,18889988,17352873,17352875,12224624,12224623,17353185,23670828,29717955,24245856,18879005,13453559,9200448,9200452,13453534,9200441,9200442,13453537,255636756,24615974,18166051,18166050,24615972,19453522,19453521,19692107,23097758,16841986,11778050,11778055,13837850,9713654,9713659,14118687,14119432,19692275,26430036,23755225,256008143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15115908, s2 = 11093292, dlinesl.size( ) = 14 s1 = 12498352, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10429584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6907405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8072275, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12498722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12277655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14277528, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12277717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12277717, s2 = 11357988, int(edited[s2]) = 0 s1 = 12277717, s2 = 11357988, d1 = 13, d2 = 11 Dl.O(d1) = 12484568,12484569,12143187,8172568,5266893,3221659,3221658,5266890,8196897,12165568,11046270,11046269,8390848,8390849,8221033,7311925,4615208,2779111,2779110,4615205,7311920,5241190,4763464,4763463,5308342,3258516,1914393,1095857,615200,615199,1093489,1183693,1183694,1886167,1886168,1920033,1096820,615716,615718,1077766,1077765,609975,609980,1086329,1902994,1904867,1096468,1096469,1919497,3261910,1916847,1916848,3260157,3243173,1903254,1895473,1081839,1081843,1895482,3231868,1913289,1913288,3212751,3214945,1897357,1897356,3231711,4961794,4961795,4628896,2788457,1617780,920233,518908,254123145,1617748,2788402,255881111 Dl.O(d2) = 258109241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12277717, s2 = 11357988, dlinesl.size( ) = 8 s1 = 11249651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249651, s2 = 11052280, int(edited[s2]) = 0 s1 = 11249651, s2 = 11052280, d1 = 11, d2 = 4 Dl.O(d1) = 258616756,60076878,72814207,86409282,72814200,60076874,48680586,48680585,60076872,258794031,72814205,72814202,60076876,60076875 Dl.O(d2) = 60076873,258616758,48680590,256803876,22787256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249651, s2 = 11052280, dlinesl.size( ) = 12 s1 = 11052279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052279, s2 = 11249652, int(edited[s2]) = 0 s1 = 11052279, s2 = 11249652, d1 = 14, d2 = 8 Dl.O(d1) = 27956750,256803877,57611956,258616759,70302434,70302435,83827409,97684931,83827416 Dl.O(d2) = 83827414,258794030,70302433,57611951,57611952,70302435,83827409,97684931,83827416,70302439,258616757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052279, s2 = 11249652, dlinesl.size( ) = 12 s1 = 15116870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15116870, s2 = 11421352, int(edited[s2]) = 0 s1 = 15116870, s2 = 11421352, d1 = 0, d2 = 15 Dl.O(d1) = 100489398 Dl.O(d2) = 176757941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15116870, s2 = 11421352, dlinesl.size( ) = 20 s1 = 15916952, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15916952, s2 = 15243046, int(edited[s2]) = 0 s1 = 15916952, s2 = 15243046, d1 = 5, d2 = 7 Dl.O(d1) = 86823429,86823430,260060545,128754178,271831913,114924182,128821307,140868774,127513491,127513492,259983804,153543731,165334095,273119443,140868721,127513443 Dl.O(d2) = 259365536,258116974,99628085,113641915,259365528,86894608,100874028,99628024,85678696,72091695,258740401,99628020,85678737,72091734,59357893,47966678,38053449,38053448,257507095,47966684,47966682,59357895,72091736,85678739,99628076,113641905,127513488,261709643,153543726,165334092,273347751,193762983,200850358,206831681,211774462,215813414,219153901,221974338,224396375,265717081,228332256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15916952, s2 = 15243046, dlinesl.size( ) = 2 s1 = 15916952, s2 = 15243046, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15916952, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15243045, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10559807, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14198660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12499782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12499782, s2 = 11259086, int(edited[s2]) = 0 s1 = 12499782, s2 = 11259086, d1 = 10, d2 = 14 Dl.O(d1) = 40840650 Dl.O(d2) = 14287329,18470653,13126862,8946627,8946624,5839900,3644485,3644482,5839839,5839843,8946569,12731603,8651280,5627063,5627068,8651273,10352846,15024969,12039525,12039522,10352878,6817455,6817452,8947990,7756398,7756396,11642574,11643046,7756669,4912310,4912309,7756668,8709752,5669994,5669995,8709754,255608321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12499782, s2 = 11259086, dlinesl.size( ) = 20 s1 = 12499786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15118046, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15118046, s2 = 11191546, int(edited[s2]) = 0 s1 = 15118046, s2 = 11191546, d1 = 11, d2 = 13 Dl.O(d1) = 259135550,255729720,6823517,4280658,2559364,2559363,4256535,2544653,1466008,829515,829516,1466010,2544660,2546472,2224224,2224226,3714425,2926014,2926013,4855443,4855131,2925805,2925806,3715410,3715409,4254695,2945017,2945018,4230905,4230907,4248367,4251196,5378709,5378710,7546155,7546156,6818861,254712081,5209446,5209445,8131122,8334776,8334775,6823880,6758895,6758894,6767649,4241419,4241421,5379365,3307811,1945964,1945965,3307814,5379369,8334800,10314756,6785126,6785127,255001619,14969499,10301688,6773978,6773979,10301691,14969501,10306394,6778031,6778032,5954188,4227677,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774964,6801454,5583811,5583813,5583788,5583789,8593766,9647404,9647392,6343198,6343200,4254031,4254030,6785911,6826062,5944026,5944025,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835983,835985,1478891,2568681,254488047,10389539,15065725,20977115,28156234 Dl.O(d2) = 49993876,49993877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15118046, s2 = 11191546, dlinesl.size( ) = 14 s1 = 11191545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14910641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11262737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12500082, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11095619, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11164671, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11067155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11067155, s2 = 8671394, int(edited[s2]) = 0 s1 = 11067155, s2 = 8671394, d1 = 63, d2 = 79 Dl.O(d1) = 255201986,12656707,267849468,5590729,3468432,2056640,1179867,1179868,2056657,3468463,5590794,8603565,8602833,5590376,3468241,2056544,1179815,1179814,2056539,3468226,5590339,8602708,12667619,17884166,24261978,31774266,33559293,33559294,42575973,40155498,31471365,26626332,19815470,14194030,9757637,6415903,6415904,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,23975228,31471306,255681592,31775707,31775705,40470459,50506040,52072233,50426458,40392895,254239256,19458175,15500314,15500315,19458171,13928414,13928416,15171447,15893468,21990704,25897766,19237410,13744194,13744195,19237411,25897768,23411785,17136626,12043146,8096262,8096261,12043143,17136621,19457289,13924639,13924641,13926341,13926342,19459726,15894052,15892465,11017348,11017349,13931767,13931768,13925639,13925638,13925667,9558390,6271942,3926971,3926970,6271936,9558376,11018136,7294284,4600148,2767667,1604513,912455,514821,514820,912447,254232615 Dl.O(d2) = 169068961,179342227,188382431,263495676,179342233,179342232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11067155, s2 = 8671394, dlinesl.size( ) = 32 s1 = 14277782, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14277786, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12280479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12280479, s2 = 11088570, int(edited[s2]) = 0 s1 = 12280479, s2 = 11088570, d1 = 2, d2 = 0 Dl.O(d1) = 31047416,31047418,39726128,31047292,256028953,17661408,17661410,23563215,24007332,31047304,39726152,40191844,31506436,24007223,17661347,17661345,24007218,31506419,31506446,24007235,24007236,31506380,40191765,50213902,61695687,58478013,47099654,47099656,49933164,39914822,31239294,23755683,23755682,31239288,39914821,49933159,61411789,71200212,74478126,61695713,61695712,61695720,50289642,40268482,40268481,50289641,61695668,61695669,55272191,50289254,40268071,31581155,24075627,256034223,40268068,50289249,61768981,74552752,88167966,88168037,259762729,94380769,87794462,74190812,61769351,61769350,257287320,50289637,43897179,34625181,34625182,43897182,54640244,44424950,35050181,26968953,20083550,20083551,26968937,26968939,35050154,35050152,35050151,44424901,37285891,28751483,28751484,37285893,37285895,28751485,21491909,21491910,28751488,37285899,40268075,31581157,31581158,40268077,37762718,37762720,47684897,50289374,40268189,31581358,24075774,17719190,17719128,12535640,8497348,5498744,5498747,8497352,12535651,17719153,17719167,17719166,24075722,31581284,31581339,31581338,31581388,24075794,17719200,12535679,12535678,17719199,24075792,31581383,40268339,50289516,61769231,74552905,64090448,64090449,270506263,88168077,74552931,61769283,50289579,50289580,61769287,61769205,61769204,61769211,74552897,74552919,74552870,74552869,67787532,67787531,65347567,259419407,86207061,72609240,72609241,86207062,86966369,73354832,257599981,49209357,60609888,73354867,61708842,50228094,256535687,255973425,23268988,30685682,39282628,30685690,23268992,23268991,30685688,39282636,39282707,30685735,23269017,255140889,11919175,17005742,23269029,30685753,39282739,39282653,30685702,23268998,17005723,17005724,23269004,30685714,30685813,23269065,17005773,11919193,7973803,5074082,3076842,1795271,1795272,2713166,1571700,1571699,1780866,1780865,3055803,1799949,1027154,578725,578726,578499,323591,323590,578495,1026749,579016,323867,323868,179373,98651,98652,179374,322410,322409,576165,1022545,1030928,1805341,3058298,5048263,267794863,1025433,1025429,1797052,1780242,1015130,1015131,1780264,3055133,3052019,1802753,1802747,3083391,3083390,5083662,7937419,5047640,3057757,3057758,5047641,3062044,1784897,1784898,3062050,3061813,3061812,1784767,1784765,3061821,5054079,5060137,5060139,254169090,16981471,16972320,16972321,23233983,23233984,16974317,16974318,11955517,11885710,7946260,7946259,11885707,11886673,7946967,7946966,11877204,11917430,12363121,17529204,16976135,11888996,11888994,16976132,16246989,16246990,11741476,11741475,16727025,16727026,22963692,23239778,23239777,254130688,16953884,17098071,12011551,12011552,16985811,11900427,11900428,16985812,23243244,30660519,267902386,254256364,16965351,11877189,11211299 Dl.O(d2) = 5073865,5073868,7955770,7955602,7955601,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058717,7953652,11894615,10847857,10847859,15669717,16982706,16987269,11902087,11887795,7947915,7947913,11887794,16974907,16962651,16962652,22283177,267902090,7438794,7438795,7934891,254381610,267795564,16965351,11911878,11911851,7968018,5069752,3073438,3073435,5069747,7968009,11911838,16997661,23260713,17026076,254821940,7991912,11916517,11916516,11880182,7942072,7942073,11880184,16968205,16727434,16727435,15816469,15816468,17037784,11951640,11951641,16983664,11897788,11409173,11409174,11887855,11886022,7946494,5062727,5062725,7958637,7986523,7986524,11933947,16139003,16139004,254256800,15716483,10879704,7192954,7192955,10879708,15716493,21775784,23268030,17013383,11928073,7981543,7981542,10792592,7130424,4488894,2696772,2696771,4488891,7130418,5049797,3059629,3059628,5049793,7940061,11877331,11877989,7940497,5050028,3059739,3059740,5050033,5079736,3081026,3081028,1840877,1050639,1050638,590972,590975,1050697,1841223,3147594,5065450,3069613,3069608,3071424,1791093,1021489,1021485,1791104,3071452,5067579,7965367,8348969,7987152,7987154,9273340,10879508,255053515,11867005,7931468,5042352,5042351,7931464,11866999,16954607,23227633,30649280,39244917,49169966,49386948,39458728,30854390,23423576,254540734,12050503,17146401,23423577,30854392,31227378,39904203,49923898,47504281,37600270,37600268,47504276,38775946,30192062,30192061,38775944,41138022,32323970,24709178,24709179,28933903,35002692,26921000,20036098,14352245,9861340,6477792,6477793,9861342,14352250,20036105,15703141,15703140,21757999,29052378,37600565 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12280479, s2 = 11088570, dlinesl.size( ) = 2 s1 = 12280479, s2 = 11088570, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12280479, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 12280629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10609539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12280721, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12280863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12280863, s2 = 14142396, int(edited[s2]) = 0 s1 = 12280863, s2 = 14142396, d1 = 21, d2 = 17 Dl.O(d1) = 192383693,199679665,199679666,205851564,205851565,199679673,199679671,199679670,199679669,205851575,205851571,199679660,192383689,183910307,183910306,192383687,199679658,205851569,264441219,215127705,218562595 Dl.O(d2) = 226075603,223930716,221453257,218562597,265346643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12280863, s2 = 14142396, dlinesl.size( ) = 20 s1 = 12281121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12281121, s2 = 10851827, int(edited[s2]) = 0 s1 = 12281121, s2 = 10851827, d1 = 32, d2 = 16 Dl.O(d1) = 11420525,13343724,14575694,10029645,10029642,14575686,16404391,22586980,16426093,11441435,11441436,7746293,7746294,7618773,4820433,2904848,1685033,1685034,255104387 Dl.O(d2) = 114197025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12281121, s2 = 10851827, dlinesl.size( ) = 28 s1 = 11272839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272839, s2 = 14923591, int(edited[s2]) = 0 s1 = 11272839, s2 = 14923591, d1 = 0, d2 = 13 Dl.O(d1) = 259972090,259431758,268963110,17097743,268096236,5163692,3146611,1840664,1840665,3146613,5163695,4679293,2819096,2819097,3144735,4679287,5233600,8054252,8062078,12006117,8067249,5161171 Dl.O(d2) = 1839163,1839176,1839178,3132789,5121118,3115296,3115297,3144376,3144374,5161203,3158840,3158841,5123660,3113104,1819187,254256237,1826565,254130839,327776,180787,180785,327767,586982,1042564,1826518,3124704,5104416,5229700,5159701,5038589,5038590,3131619,3131617,5141423,4376478,4376479,2869373,2869374,2868824,1665000,1664999,2868820,1846821,1846822,3155783,5174304,7530028,7530027,11330506,8061962,8013884,5102385,5102386,5103673,3098110,3098109,3138380,1835126,1047254,1047253,1835125,1842484,1051420,1051419,1842476,3149383,1846826,1846823,3155785,5174307,8078665,8081759,8081758,11920916,11920958,11330692,11330693,16287773,17024675,17024674,12126123,12126122,16284703,254175640,12737883,8655836,8655835,12737881,17974422,24372145,31902937,40616204,50672394,62189262,75008817,88656594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272839, s2 = 14923591, dlinesl.size( ) = 8 s1 = 15923639, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11017581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017581, s2 = 11275260, int(edited[s2]) = 0 s1 = 11017581, s2 = 11275260, d1 = 12, d2 = 5 Dl.O(d1) = 10731969,7090845,7090844,8158731,7192099,7192098,10878433,15714964,21774180,29072168,254747336,52305926,48356294,38454356,29897152,29897153,37455357,47361504,255477054,257536687 Dl.O(d2) = 114062817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017581, s2 = 11275260, dlinesl.size( ) = 14 s1 = 11019735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16219055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10487559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16274524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15268621, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14277972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347547, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11072643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072643, s2 = 15517212, int(edited[s2]) = 0 s1 = 11072643, s2 = 15517212, d1 = 84, d2 = 119 Dl.O(d1) = 25676882,25676883,33447830 Dl.O(d2) = 5230973,5467421,5467420,5468232,3362866,3362867,5231214,3192537,3192539,3367444,1981288,1981287,3367443,5472717,8160406,5467333,5231056,5231055,5467290,5230981,5230980,3361933,1978060,1978061,3363838,5230862,5467781,8462063,12493564,255156917,8160193,5230874,3192276,1977254,1977253,1977313,1977312,3362963,3362466,1976962,1976965,3362473,5467847,5231324,5230823,3192243,3192242,3192475,1868518,1868517,1868471,1868472,254389923,3192465,5231114,3192557,1868570,1868569,1868447,1065823,599073,333778,333780,599081,1065829,1868462,3192374,3192215,1868376,1868375,3192210,3192649,3192648,5231379,5230947,5230842,3192256,1977297,1128759,632950,351325,351326,632954,1128768,1977322,3362974,5231120,5467833,8160384,8160383,8462676,8160445,8160136,8160133,5231104,3192453,1868673,1065948,1065951,1868687,1130757,634143,634142,1130751,1980116,3192317,3192297,1868417,1065807,1065808,1868420,3192303,3366233,3366234,5471503,5468316,5468314,8462531,8160237,8160236,9273723,12128816,8462581,5468343,5468342,5472864,5468278,5467554,5467553,5467735,5471227,8462762,8462760,12494391,12493368,12493370,267993063,8160427,12129001,17246812,23555822,23556053,24026003,23556057,23556054,24015956,24023386,17673541,17673540,24023367,24023368,31525314,29492571,29492570,31037980,31524866,35166001,27078268,20181377,16033275,16033277,22153428,29492499,38056585,31528685,31525333,31525332,39716001,38532646,38532648,31518625,31518623,27078284,24025995,17675558,12499460,12499461,17667524,23556023,23556022,21160773,21160774,23556431,17247341,12499303,12499304,17675332,17667620,17247358,12129348,12129349,17247527,12493541,12493544,17667720,12498015,8465928,8465927,12498008,17673533,22153518,22153517,23556637,23556638,22153469,16033297,11132710,7384450,7384449,11132707,16033289,17673567,12498022,12498018,17673557,17675933,24026429,24016148,24016149,27078292,20181392,20181393,24023805,27078261,24026445,24026444,256498157,39716151,44639637,256232747,20244287,14526475,268177633,27155914,35255019,31517197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072643, s2 = 15517212, dlinesl.size( ) = 14 s1 = 11281169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15120461, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15527546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15527546, s2 = 9529781, int(edited[s2]) = 0 s1 = 15527546, s2 = 9529781, d1 = 1, d2 = 2 Dl.O(d1) = 116158957,130066831,143396781,130066869,261306329,143396820,143396818,130066870,116158995,102102255,88115698,88115699,102102256,102102232,88115675,74504468,61723236,50244402,40224222,31537777,24034946,24034945,31537775,40224221,40224230,31537781,31537782,40224231,49211444,256474891,30688049,39285059,49211450,60611989,73356949,61723257,50244429,40224243,256537009,24034951,17683488,12505889,12505888,17683486,24034947,31537782,40224231,49211444,256474891,30688049,39285059,49211450,60390177,48992035,39067947,257003393,60390175,73131072,85511692,71924301,71924300,85511690,99457585,99457586,258297738,127337409,140693583,153375313,146285151,133057520,119227317,105034697 Dl.O(d2) = 40224239,50244422,61723247,61723248,74504486,259522716,88115687,89899703,89899702,89899701,76098320,258531440,40786093,32029353,24467131,18047257,12793576,11153607,7398088,4673690,2815717,2815716,4673687,7398081,11153596,16062970,22190785,24767456,24767453,32388713,41209930,51403763,255896992,77798793,257515718,113673634,127544286,127544287,134026807,120193243,259339430,84302447,70750794,58036576,46663978,46663979,258647983,70750795,84302449,98198649,259914436,98198647,98198646,102360759,88364148,74735594,61941292,50449899,50449900,61276809,61276810,74057026,87660904,101628439,115669501,129555909,142874607,155456426,165391213,153610052,272208471,99710330,99710329,113724682,115027501,100971589,86985776,73373159,257601261,39299138,30701498,23285659,17026521,11951891,11951890,11023886,7796755,4944129,4944130,7796758,7298647,4603560,2770244,1606430,913767,913766,1606427,2770237,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175726,2050063,3458047,5574507,5573635,5573636,8578069,12633744,17840817,21482885,21482882,16397820,16397821,11577228,11577230,16599822,12642193,9759303,9759155,9759156,14196574,11437453,11437452,14086508,14086509,19651710,24222964,17851620,17851619,23579784,17267982,12147288,10847687,7171350,5774283,5774284,8858965,11257368,9650897,6345533,3981147,3981149,6345541,9650914,14036856,12636820,8579929,5574691,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,5286473,8216354,12185711,12185710,17309575,14229027,14229028,15159973,15159974,16776824,15867442,14094895,9694335,6376039,4000532,4000535,6025465,6025466,9203400,9694355,6376053,6376051,9694350,14094913,19663514,26397542,23388897,23388896,26397556,26397555,28783908,24190181,17821371,12617926,8565145,8565143,9693437,9693438,10247442,8327081,8327086,6929647,4353662,2607633,2607635,4353675,6929675,7531160,5029092,5029091,7910830,11836863,16913586,23178474,30597595,39194656,258201181,86879965,262296871,177084184,186438722,194591788,201574638,207451793,212297957,216257678,219540543,222314032,265009556,216257682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15527546, s2 = 9529781, dlinesl.size( ) = 2 s1 = 15527546, s2 = 9529781, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15527546, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 12283999, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15121172, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14278144, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11429351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029145, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16345373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13326053, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12285243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278220, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 3864157, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12285557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10995027, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12503734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12503734, s2 = 8921121, int(edited[s2]) = 0 s1 = 12503734, s2 = 8921121, d1 = 35, d2 = 20 Dl.O(d1) = 44439203,36807090,35065059,26981596 Dl.O(d2) = 232255439,265954493,266078469,233446123,233446124,266298913,274621689,230936175,230936176,232255442,232255439,232255438,266298913,274686539,236412626,266712871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12503734, s2 = 8921121, dlinesl.size( ) = 2 s1 = 12503734, s2 = 8921121, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12503734, Dl.E( ) = 52, 1.6e-05 seconds used appending s1 = 10984081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984081, s2 = 15170013, int(edited[s2]) = 0 s1 = 10984081, s2 = 15170013, d1 = 33, d2 = 37 Dl.O(d1) = 254319793,254990583 Dl.O(d2) = 14490752,9970311,254473733,4104985,6552616,9970310,14490749,11385686,11385685,16360780,22534286,27094681,29819536,38391946,44561770,35183427,27094667,20195577,14490547,14490548,11320211,11320212,16279297,20195100,22021252,15920085,11042469,7317031,7317030,268081305,255095011,7516308,4751526,4751525,7516306,11319143,7516739,254356777,1662183,1662182,2863828,4751808,7516735,11320297,7516840,7516841,11320431,14186976,14186977,16278153,11319162,7515891,7515893,7516647,4752035,4752036,7517098,11320777,15882579,11323860,7520125,4754389,2865420,2865419,4754387,254780121,4752640,2864308,1662464,1662465,2864313,4752649,7517934,11319286,11319287,16278273,19806004,16278922,16278921,11319918,11319917,16278181,11319239,7515943,7515944,5258413,3214183,3214184,4751616,2863729,2863730,4751621,7288249,4596041,4596040,7288245,11009726,11320625,11320626,16278162,22447844,16279779,16279248,16279249,22448904,255095069,11320402,16279445,16278149,16278147,16278239,11319860,11319861,16278984,11321712,7517968,4752675,4752676,7517972,7218485,7218484,10914723,7515955,7515956,7517974,7517975,11321716,16279898,11320888,11320889,16279900,255288448,9969825,7520451,4754587,4754588,7520455,11324290,15901175,15882628,11009748,7288260,7288259,11009746,11322184,16280999,254780309,4754137,2865274,2865273,4753477,4753661,4751856,2863849,2863848,4751850,4547667,4547668,4752799,4752801,2865339,1663055,1663052,2865330,4752107,7517198,4753515,2864870,1662774,946071,946069,1662771,2864862,4752133,4752134,7517228,11320908,11322060,7518339,7518295,4752920,2864477,1662545,1662547,1662699,946021,533502,299219,165791,165790,299216,533492,946002,1662661,2864680,4753225,7288547,7517582,7517895,4752622,2864302,2864303,4548188,2734052,2734051,3803567,2278356,2278358,3803573,4753606,2864923,2864924,4753612,7218235,7218234,10914284,7218084,7218083,4547901,4547900,7218227,4753673,4753672,7519240,11322904,10914345,255056473,254512259,4547955,4547921,4547895,2733881,1584248,1584249,2734067,254512285,4752838,2864425,1662521,945937,900574,508014,508013,900569,1584091,2733771,4547688,7217865,4752909,2864472,2864471,4752908,254780153,7519697,10914530,10914455,10914409,7218173,7218175,10914403,7218170,4547857,4547858,4753082,7517462,4752310,4752311,7517465,7519661,7519660,10914593,15759820,10914303,10914304,15759824,11009915,7288390,7288391,11009916,8082487,8082486,11009990,7288444,4596159,4596160,7288448,10913916,15759385,15759848,10914316,7517149,7517150,7218003,4547754,4547755,7218005,7217977,4547741,4547740,7217971,7218133,10914071,10914069,15759576,254772372,15760426,16916520,16916521,23181472,21977697,21977698,17886195,12668941,12668943,13612245,13612246,19067174,25691574,24612853,18164047,18163947,12881719,12881718,18163940,12881770,8761376,5704755,3550090,2114297,2114296,3550084,5704744,8761354,12881735,18163978,24612776,29134349,29134348,29815695,22447692,22447694,29815701,22449609,22449608,19812103,19812102,26622360,34611282,39033170,30805968,23377842,20135903,20135901,24612797,24612798,29816290,29816254,22448340,16278637,16278620,11319534,7516150,4751434,4751435,7516159,11319558,16268145,16268146,11741115,11741116,16281259,22450500,22037347,22037349,17618883,17618880,12511749,12511752,267974836,255462388,38213823,259377283,260594995,141020602,262234537,263544441,200942388,206913770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984081, s2 = 15170013, dlinesl.size( ) = 14 s1 = 14278306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278306, s2 = 6710904, int(edited[s2]) = 0 s1 = 14278306, s2 = 6710904, d1 = 38, d2 = 19 Dl.O(d1) = 257104503,258296813,88454985,260756097,115865093,115865092 Dl.O(d2) = 257597676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278306, s2 = 6710904, dlinesl.size( ) = 40 s1 = 2544557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2544557, s2 = 8850091, int(edited[s2]) = 0 s1 = 2544557, s2 = 8850091, d1 = 25, d2 = 24 Dl.O(d1) = 72179660,259371999,113741715,127610163 Dl.O(d2) = 265863337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2544557, s2 = 8850091, dlinesl.size( ) = 12 s1 = 12286449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235259, s2 = 4408065, int(edited[s2]) = 0 s1 = 11235259, s2 = 4408065, d1 = 16, d2 = 14 Dl.O(d1) = 80395401 Dl.O(d2) = 66965240,259138927,108748175,123017121,136847894,149981366,162188624,173282296,183128055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235259, s2 = 4408065, dlinesl.size( ) = 14 s1 = 11013905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11013905, s2 = 11307752, int(edited[s2]) = 0 s1 = 11013905, s2 = 11307752, d1 = 11, d2 = 4 Dl.O(d1) = 268163403 Dl.O(d2) = 79271525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11013905, s2 = 11307752, dlinesl.size( ) = 14 s1 = 11307921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11307921, s2 = 11083540, int(edited[s2]) = 0 s1 = 11307921, s2 = 11083540, d1 = 15, d2 = 7 Dl.O(d1) = 259340752,72588037,72588036 Dl.O(d2) = 256901052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11307921, s2 = 11083540, dlinesl.size( ) = 16 s1 = 15243870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10780380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11537347, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2926291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15532554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15532554, s2 = 14278379, int(edited[s2]) = 0 s1 = 15532554, s2 = 14278379, d1 = 1, d2 = 1 Dl.O(d1) = 52345012,64195089,60344975,60344974,257727888,258340864,100661289,100661290,105485040,258340864,86688620,73084589,73084588,86688619,77342473,77342472,257727892,114706764,259593436,259593434,128603523,128603522,259593436,114706762,114706763,259593438,141964249,260805788,146999646,133749432,119879207,105640648,91414839,77484175,77484176,64320328,269078352,33146471,25406221,25406220,33146470,42100452,269988911,258399778,52453026,64320325,77484174,91414838,105640647,119879206,133749431,146999645,159382991,170733632,180875369,189770763,197439035,197439036,203966598,209411349,213879308,265093243,213879301,209411341,209411340,213879299,217547645,220609915,223215554,225468804,226721127,224648190,222261326,219480673,216188896,212217135,207356256,201461793,194459301,186285058,176908364,166309111,260380474,114686093,100640655,86667468,73062141,60321003,48922476,38998576,268330714,60321002,73062139,73062142,86667470,100640656,114686095,128583409,141944429,154588681,166309113,176908366,186285060,194459303,201461794,207356257,212217137,216188900 Dl.O(d2) = 52345012,64195089,60344975,60344974,257727888,258340864,100661289,100661290,105485040,258340864,86688620,73084589,73084588,86688619,77342473,77342472,257727892,114706764,259593436,259593434,128603523,128603522,259593436,114706762,114706763,259593438,141964249,260805788,146999646,133749432,119879207,105640648,91414839,77484175,77484176,64320328,269078352,33146471,25406221,25406220,33146470,42100452,269988911,258399778,52453026,64320325,77484174,91414838,105640647,119879206,133749431,146999645,159382991,170733632,180875369,189770763,197439035,197439036,203966598,209411349,213879308,265093243,213879301,209411341,209411340,213879299,217547645,220609915,223215554,225468804,226721127,224648190,222261326,219480673,216188896,212217135,207356256,201461793,194459301,186285058,176908364,166309111,260380474,114686093,100640655,86667468,73062141,60321003,48922476,38998576,268330714,60321002,73062139,73062142,86667470,100640656,114686095,128583409,141944429,154588681,166309113,176908366,186285060,194459303,201461794,207356257,212217137,216188900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15532554, s2 = 14278379, dlinesl.size( ) = 2 s1 = 15532554, s2 = 14278379, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15532554, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14278380, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12287149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12287149, s2 = 11077270, int(edited[s2]) = 0 s1 = 12287149, s2 = 11077270, d1 = 13, d2 = 11 Dl.O(d1) = 64851804,65881669,258049952,92484801,78447481,65164559,53179874,53179873,57663598,46319427,36466609,28007790,256270825 Dl.O(d2) = 255399571,15393304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12287149, s2 = 11077270, dlinesl.size( ) = 14 s1 = 11133467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11133467, s2 = 11049018, int(edited[s2]) = 0 s1 = 11133467, s2 = 11049018, d1 = 31, d2 = 1 Dl.O(d1) = 258450615 Dl.O(d2) = 25992506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11133467, s2 = 11049018, dlinesl.size( ) = 14 s1 = 14284914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12287649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9679419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14205341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11047269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047269, s2 = 1185142, int(edited[s2]) = 0 s1 = 11047269, s2 = 1185142, d1 = 19, d2 = 21 Dl.O(d1) = 254701554,44234246,34879047,26822159,19957006,14290004,14290008,9830880,6458010,4047975,2423370 Dl.O(d2) = 72712849,269353669,30090911,22709293,255108729,4840295,254542427,1692009,1692008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047269, s2 = 1185142, dlinesl.size( ) = 8 s1 = 12288435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12504946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15250576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15250576, s2 = 3305450, int(edited[s2]) = 0 s1 = 15250576, s2 = 3305450, d1 = 20, d2 = 27 Dl.O(d1) = 259698138,170850482 Dl.O(d2) = 272705043,120096787,105885209,105885210,120096789,120096793,259069434,271581734,180970977,260313734,272988443,147161726,272988443,133939056,120096790,105885211,105885212,120096789,120096793,258441044,257824022,105885218,257824022,256674290,64568900,52668408,42281159,33299851,254453738,9230985,6045641,6045640,9230984,13492347,18925976,25537860,33299754,29459374,25537752,18925885,18925884,25537749,33299726,38020183,29458231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15250576, s2 = 3305450, dlinesl.size( ) = 16 s1 = 14278546, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278546, s2 = 9552224, int(edited[s2]) = 0 s1 = 14278546, s2 = 9552224, d1 = 42, d2 = 45 Dl.O(d1) = 6513949,6513717,6513721,9911007,6802207,4265815,2550416,1469190,831109,468808,468807,831126,1469235,2550488,4265955,6802421,10334737,268063751,18707203,18707202,25279897,33004814,41946917,52287563,64139529,77288500,91208567,104188004 Dl.O(d2) = 165320593,262702018,140849746,261707072,99602981,259981917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278546, s2 = 9552224, dlinesl.size( ) = 2 s1 = 14278546, s2 = 9552224, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14278546, Dl.E( ) = 46, 1.38e-05 seconds used appending s1 = 11337425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11337425, s2 = 3544616, int(edited[s2]) = 0 s1 = 11337425, s2 = 3544616, d1 = 18, d2 = 44 Dl.O(d1) = 129147088 Dl.O(d2) = 132962768,132962766,119126565,119126563,132962762,119126558,104929947,260243243,132962763,119126564,119126562,132962765,132962764,119126560,104929948,90750031,76871749,63763021,51948814,51948813,63763020,51948817,41643022,32734538,25045464,18509844,13150941,13150942,18509846,25045468,28866750,21592231,15565831,10766490,7113565,4478813,2690983,2690984,4478817,7113570,10766498,15565847,21592254,25612679,25612680,33377852,42366757,47314846,47314845,47316377,47316358,37407860,28866688,28866687,37407858,37407865,47316361,58705450,71437036,85009995,98935610,112924990,126779495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11337425, s2 = 3544616, dlinesl.size( ) = 14 s1 = 16361852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16361852, s2 = 9793966, int(edited[s2]) = 0 s1 = 16361852, s2 = 9793966, d1 = 45, d2 = 42 Dl.O(d1) = 254248655,4978784,7843403,10563392,15292199,10557051,6962854,254084986,1512705,857614,857616,1512711,2527479,4227020,6745929,8281668,8281670,12263310,17401519,23725396,28475833,21256456,21256457,23708918,23708917,31197650,28276580,21072652,15136681,10439728,6882218,4320198,2584129,1489163,1489164,2584136,4320226,4029924,2414916,2414914,4029937,6423646,9769922,14211679,16400114,21927390,29247596,267831880,29247594,28276950,28276949,36772608,34273147,30286066,28207840,21015039,17468061,12315282,12315283,16421833,16421831,19818205,14195999,12031484,8088491,5182233,5182231,8088485,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093283,16584014,16584008,16584007,254787322,254787320,12028969,14036737,10703690,7071542,4452235,4452234,7071539,10703682,14089087,14089085,15578661,15578658,15578654,15578653,21607117,28883032,29953246,22589501,16407010,16407011,22589504,29953248,28981338,28981339,34618727,31063509,30598612,23179783,23179782,22081061,22081062,29411566,30819438,31637713,31637714,36415951,27957854,268092996,27958248,27958247 Dl.O(d2) = 13381848,9146904,9146902,8118282,5200899,5200896,8118271,12072717,17170072,23445016,30874697,28525697,27242269,27242270,28335264,28232218,254489628,28335576,21123634,21123239,21123240,21042888,20827097,20827098,15175420,15175419,15178914,15178898,10469208,10469207,10421512,10421511,15109170,12212024,10471082,6903891,6903890,10471077,10421661,6870694,6870693,10421657,15109345,10476618,10469185,6901696,6901698,6870185,6870184,4330669,2591052,1494005,254221074,4330672,6898728,10465881,15175093,267879992,254489806,254489654,28530624,21308128,21308129,28294456,21087360,21087358,21124123,21124124,17052981,254156648,8007921,10593803,6988596,4391544,4391543,6957656,6957655,4391351,4391352,6988359,6870251,6870252,10421262,10593928,6988727,6988726,254119078,15173781,10464923,10464924,15173784,10471904,6988459,6988458,10470294,6988695,6988369,254491708,4332688,2592906,2592905,4332686,4334645,2594444,2594443,4334643,4333806,4333781,4333779,6901919,10469426,6903569,4335559,4332654,4332652,4391579,4333760,4333758,2599175,2599176,4333101,2595212,1496988,848255,848254,1496982,2595201,4332333,2592640,2592638,2595175,4335431,4391816,4391815,6988362,6988363,10593606,15178459,10468651,6901135,4333055,4333054,2594694,1496646,848065,478886,269510,149389,149386,269496,478859,848009,1496539,1495613,1495612,1497543,2590506,2592500,2598974,2598971,4334814,2594595,1499576,1497553,1496746,1495666,847505,847504,848171,478944,269545,149409,149408,269541,478691,269416,149342,82119,44930,24951,24953,44939,82137,149371,269467,478785,847389,478559,269349,269348,269364,478590,847471,847807,1496190,847962,847961,1496449,2594413,2595582,1499594,1499595,267822979,6900928,4332821,4332822,2596176,254084734,6896526,4329100,2589831,2589832,254328590,15169880,254719082,10410749,7969825,7969827,11914361,17000934,23264693,256474369,28134467,28134468,36608288,46474391,57830285,70531821,70531822,84068192,97941106,111877326,125694225,133101114,119271374,105078340,90898306,90898305,77018417,63906840,269978303,57662278,70352097,83876994,97735967,111656893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16361852, s2 = 9793966, dlinesl.size( ) = 2 s1 = 16361852, s2 = 9793966, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16361852, Dl.E( ) = 46, 2.19e-05 seconds used appending s1 = 11529081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529081, s2 = 7807282, int(edited[s2]) = 0 s1 = 11529081, s2 = 7807282, d1 = 22, d2 = 25 Dl.O(d1) = 274069222 Dl.O(d2) = 94382240,80327151,66899673,54642254,43899140,34626877,26637012,19825012,14201141,14201139,19825007,26637008,267743192,13450113,9197918,9196356,9196357,13448058,18871969,13450138,9197940,6022014,3767349,2257210,1310041,1310042,2257216,3767360,4218640,6733424,10248100,14904816,13450484,9198254,6733301,6733300,10247983,14560257,10282204,10039637,6597849,6597850,8990209,8990208,13188032,18559181,14590399,10039623,6597841,4133491,4133492,6022510,9198586,13450882,14577855,14577854,20313421,14904712,13450359,9198140,6022179,6022180,9198143,13450240,10248042,9971439,9971441,14191609,14191608,9971407,6553369,4105439,4105438,2455664,1419512,1419511,2455657,4105456,6405690,4018795,4018796,6405693,5990600,5990602,4129802,4129801,6592027,8480398,8480399,9761941,6418375,6418376,9761945,6418453,4026655,2412951,1396673,1396671,2412945,4026642,6418435,9755744,14188763,14188762,15382655,19824687,14200855,9761968,9761967,8986097,5866631,3662661,2191564,2191565,3662663,5866633,8986101,8988623,8993832,5871930,3666432,2194562,2194563,3666436,5871937,5865839,3662144,2191158,1271869,1271868,2191157,3662140,5865832,8985042,13181357,8985672,8985674,8988530,13186088,18557293,13187117,8989385,8989386,254319182,18565463,18575392,18575391,14216082,10635732,7021014,7021015,10635733,12936579,12518865,8481293,8481292,5482638,3373810,1985408,1985409,3373814,3373642,1985315,1134182,636372,353431,353432,636377,1134190,1985329,3373674,5482419,8481307,12517778,254113312,12518762,8481218,8481219,8481391,254093614,254082550,12324177,8324898,8324897,12324175,9177000,6006418,3756428,3756429,267760226,1305279,254299139,3756431,6006421,9177003,255260325,25433950,33177451,268284078,64364992,72047822,70863428,58149308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529081, s2 = 7807282, dlinesl.size( ) = 30 s1 = 12289265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12289265, s2 = 12656541, int(edited[s2]) = 0 s1 = 12289265, s2 = 12656541, d1 = 0, d2 = 0 Dl.O(d1) = 74337733,61560060,50079683,40058290,40058291,50079684,61560062,74337737,256739348,100069585,100069620,100069596,100069595,87940801,87940800,101913725,100069638,100069637,114100392,127985063,259781716,86104274,100069630,100069536,95107768,95107769,257904466,100069647,114100401,115958017,114100360,100069611,86104260,72505591,72505590,86104257,86104252,86104253,100069605,114100354,100948657,86964642,86964643,100948659,269190518,86104278,72505601,59771524,59771523,72505600,86104276,100069634,260394656,114100351,100069602,100069601,259781712,141347864,141347889,128904739,115002711,115002712,114100357,100069608,100069607,114100356,115002773,128904786,129855631,127985038,114100345,114100344,120147357,120147358,127985059,114100380,100069628,86104273,86104272,100069625,114100377,114100387,114100386,127985066,127985070,127985069,141347794,127984946,127984947,115002702,100948678,86964657,86964650 Dl.O(d2) = 74337733,61560060,50079683,40058290,40058291,50079684,61560062,74337737,256739348,100069585,100069620,100069596,100069595,87940801,87940800,101913725,100069638,100069637,114100392,127985063,259781716,86104274,100069630,100069536,95107768,95107769,257904466,100069647,114100401,115958017,114100360,100069611,86104260,72505591,72505590,86104257,86104252,86104253,100069605,114100354,100948657,86964642,86964643,100948659,269190518,86104278,72505601,59771524,59771523,72505600,86104276,100069634,260394656,114100351,100069602,100069601,259781712,141347864,141347889,128904739,115002711,115002712,114100357,100069608,100069607,114100356,115002773,128904786,129855631,127985038,114100345,114100344,120147357,120147358,127985059,114100380,100069628,86104273,86104272,100069625,114100377,114100387,114100386,127985066,127985070,127985069,141347794,127984946,127984947,115002702,100948678,86964657,86964650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12289265, s2 = 12656541, dlinesl.size( ) = 2 s1 = 12289265, s2 = 12656541, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12289265, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 8337109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8385931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12289787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14278656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278656, s2 = 7221306, int(edited[s2]) = 0 s1 = 14278656, s2 = 7221306, d1 = 7, d2 = 7 Dl.O(d1) = 263114220,272189054,115993358,261296849,155771650,262673284,143220130,143220131,262673283,264191185,211522950 Dl.O(d2) = 263114220,272189054,115993358,261296849,155771650,262673284,143220130,143220131,262673283,264191185,211522950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278656, s2 = 7221306, dlinesl.size( ) = 2 s1 = 14278656, s2 = 7221306, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14278656, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16218965, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14325285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325285, s2 = 16310362, int(edited[s2]) = 0 s1 = 14325285, s2 = 16310362, d1 = 0, d2 = 15 Dl.O(d1) = 10502761 Dl.O(d2) = 144481691,131246783,260649220,89207543,75455432,62532995,50929327,40809786,40809785,50929325,62532993,75455426,259570463,117438167,131246777,261353579,262395504,166195526,262861384,262861383,178681594,168356466,156892716,156892717,262283750,273729838,263662651,187802606,264313395,263879250,263521430,206705490,262205020,185297607,175786653,165055781,153237800,140556481,127210779,113352641,99350806,256903012,71818824,59077588,47677474,37755324,29194052,21882177,15806289,10952783,10952782,15806287,254344096,7248201,7248200,10951820,15804983,21880625,23551494,29193755,254514582,21879920,29191716,22648798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325285, s2 = 16310362, dlinesl.size( ) = 12 s1 = 12290889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12290889, s2 = 14327857, int(edited[s2]) = 0 s1 = 12290889, s2 = 14327857, d1 = 9, d2 = 6 Dl.O(d1) = 166568596,177143112,186491765,194639727,201617432,207490030,212331178,216286437,219565467,222335254,224713506,226778501,228579703,230163393,231569309,232829626,233969506 Dl.O(d2) = 237391855,236588808,235707884,235707883,274662492,232509250,231216881,266102531,231216882,229775944,265700884,221730399,218875573,215494208,211401805,206394792,200340921,193174119,184823695,175260124,164483318,152632030,139925488,126561666,112697727,98701838,270292727,258057195,47103651,47103652,58482022,71204099,84773291,270565038,257837370,105111561,105111560,114977732,257837366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12290889, s2 = 14327857, dlinesl.size( ) = 16 s1 = 11440407, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13705287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12506480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15284502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372345, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11437727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437727, s2 = 3411168, int(edited[s2]) = 0 s1 = 11437727, s2 = 3411168, d1 = 16, d2 = 1 Dl.O(d1) = 194144470 Dl.O(d2) = 112956809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437727, s2 = 3411168, dlinesl.size( ) = 26 s1 = 14278776, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278776, s2 = 8003977, int(edited[s2]) = 0 s1 = 14278776, s2 = 8003977, d1 = 4, d2 = 16 Dl.O(d1) = 102327406,258910929,74703871,259535695,116420045,116420038 Dl.O(d2) = 4527104,2721337,2721335,4527096,7174427,7174424,10852191,15675747,21719839,29005720,29015874,21727796,21727793,21723864,21723862,21750770,29031638,21745507,15694105,10864584,10864583,15675612,10852093,7174339,4519163,4519161,7174332,10852078,10865961,7184168,7184171,10865975,15696471,17859680,17859679,21720501,15676205,15676204,21720495,21726616,255051415,7177132,4521204,2717551,1574681,895322,505060,283156,283157,505062,895331,1067832,1067833,896692,505874,283662,283664,505884,896708,1577210,2721826,4527926,4527804,2721736,1577149,1577150,2719823,4524790,5100028,3095576,3095578,3095553,3095550,5099993,5596745,8611163,12679093,17870808,12655190,12655186,11151368,11151369,16060039,22187256,16060143,16060142,255380178,4832168,7637704,11483001,16267935,16267934,15605668,10796537,10796538,15605673,16268527,11311523,7510172,7412011,4683485,2821833,2821832,4683483,7411850,7411851,10836324,7510087,4747167,2860892,2860893,4747174,7510099,11311445,10838872,10838873,12134628,12134627,17254395,255995109,22436523,21638446,15655417,15655419,15606587,10797276,10797274,10793400,10793401,7165042,7165044,10838730,12152454,17273159,16180603,11246894,7465567,5455451,3353892,1971659,1971660,3353898,5455429,8446873,8446894,12476713,15925603,12687271,8618148,8618147,12687267,11026841,11026842,15905415,17433708,17536468,12368528,12368529,12288012,8298634,8298635,12288014,17311993,22436690,21281380,15318536,10580288,10580289,12197028,8227550,8227549,12197027,12141203,254578967,5239576,4605307,2771543,2771540,4605292,7300860,7305506,9112949,8391300,5415164,5415165,7135648,4492434,2699007,1563566,1563567,2699010,3223193,1900887,1085052,609374,609373,1085044,1089611,942730,531693,531691,942705,531686,531689,942280,942279,1085140,1869155,1066247,1066245,599332,599334,1066260,1869193,1914403,1093324,613787,613783,1093313,1095756,615145,615144,1095753,1918314,1914748,1914749,3259022,5308858,8183992,5294148,3245335,3245337,5294151,3328397,3328398,3659891,5268803,5268804,8198436,8198665,8207957,5289908,5275781,3230036,1921338,1097581,1097582,1614022,2782506,4620871,7319095,8144900,6353874,3986659,3986657,6353873,9662303,6353801,3986618,3986619,3986969,3986970,6354006,3986725,2389410,1383160,1383159,1361263,775874,440473,248337,248338,440479,775888,1361291,2349769,3924966,6268776,9553664,9662263,6353777,3987217,2389654,2389652,3987208,6354893,9664179,14054513,19613259,26341975,26341976,26339282,256185533,26342004,26340111,19611585,14053132,9663242,6354356,3986916,3986917,6354359,9663249,14053141,19611595,14055804,14055805,14052421,14052420,19610774,26338552,19610744,19610745,26339244,19613101,19613102,19127321,19127322,19451335,19609214,19609213,14055310,14055309,19450491,26148531,26342043,19613256,14054511,14051729,9662224,6353753,3986586,2389341,2389340,3986581,6353742,9662207,14051695,19609925,26338461,19609961,19609960,26338474,33990266,26149328,19451230,19451231,19614204,19614203,26342952,34212127,256185621,19614734,19611578,19611579,19609896,14051675,9662196,9662200,14051682,19609906,26338438,26338754,19610244,19610245,14052181,14052182,19450945,13919489,13919488,19450942,14053707,9663651,6355442,3987545,3987543,3925041,3925042,254574705,3171580,1856605,1856606,3171583,3986791,3986790,6354138,6355142,6353679,3986548,3986547,6353672,9662075,9665252,9665251,14055812,9665241,9665177,6355600,3987642,3987644,6355605,9665190,14055744,19614654,26343374,26343141,26343140,34216679,28774313,21512541,15502643,10720914,10720915,15502645,21512545,21927838,26339297,26339298,26339235,19610735,19610733,26339232,21512745,21512746,26340285,26340284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278776, s2 = 8003977, dlinesl.size( ) = 12 s1 = 11482503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482503, s2 = 11341866, int(edited[s2]) = 0 s1 = 11482503, s2 = 11341866, d1 = 13, d2 = 14 Dl.O(d1) = 262869072,201862751 Dl.O(d2) = 207693262,201862751,194934430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482503, s2 = 11341866, dlinesl.size( ) = 18 s1 = 10241056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342573, s2 = 15050617, int(edited[s2]) = 0 s1 = 11342573, s2 = 15050617, d1 = 72, d2 = 108 Dl.O(d1) = 260022346 Dl.O(d2) = 261750736,119765481,271348854,77395198,77395197,270335562,52388511,52388510,64244409,77395197,64244411,52388511,42044402,33096332,25362791,18780044,13375333,9141814,5982316,5982315,9141812,13375328,18780035,25362778,29684296,29684297,29227020,21911006,21911007,29227025,29330500,21999998,22000000,21910999,21910998,21910969,15829055,15829054,21910966,29226972,37788908,47709906,47709989,37789041,29227162,255435609,15829169,21911150,29227158,24298040,17915334,12692743,12692745,17915339,24298042,28385274,21167159,15209875,15209876,21167163,23139547,23139548,30556980,30683330,30683329,27205209,27205210,35330526,42044365,33096263,25362722,21911012,21911013,27205199,20277293,16879266,11809155,11809156,9141808,9141809,13375323,18780025,25362754,23998390,23998391,31495740,23998351,17654176,17654177,23998354,31495747,40180354,31495592,23998206,17654064,17654066,12483095,8453587,8453586,255187951,23998231,31458841,23963799,23963798,31458839,31495858,23998463,23998464,23450433,17173929,12483204,8453669,8453670,12483207,17654238,23998376,23998318,23998319,17654156,12483149,12483150,12483141,12483140,17654138,23998312,25362750,33096296,31495772,23998369,17654187,17654188,23998371,255414732,256339984,39243290,39154581,38323787,30878129,255070512,255881354,41409785,255656670,256090761,31495789,30647487,23225606,16952313,255070452,23652321,23652322,23225619,16952326,16952327,23225622,23998348,30647508,30647509,31495729,23998337,17654161,17654162,23225515,254608666,254608664,23447584,23447583,30878126,39483687,49413488,47851068,37931234,37931233,47212940,37306344,37306345,47212942,39243284,39243283,40180506,40180504,255881398,60813736,49413493,39483689,30878130,30878131,30647498,255444620,30647626,23225800,267828922,16952510,11864943,11864944,16952515,23225797,30647624,23998294,23119843,23119844,30538768,39137859,268081616,37306347,28772551,28772505,28772504,37306306,47212886,58602162,47850964,37931021,29364600,29364599,37930684,37930683,47850743,59247385,256753096,255881324,30647619,23225794,23225795,30647621,28772548,28772547,37306340,47212938,49168634,39243309,39243310,49168638,58602161,47212884,37930689,37930686,37930687,30647208,23225256,23225257,30647210,39243098,49168517,255751774,268397898,20537972,14733504,14733505,267828918,15501556,10720277,10720278,15497138,10717367,10717371,15497143,21505051,16951738,11864269,7929188,5040561,5040560,7929184,11864262,16951726,16786892,11737529,11737532,15501633,15501634,11737604,11737603,7929403,5040669,5040670,7929408,11864638,11865026,16952599,21511064,22034043,22034044,23188397,16921893,16921892,23188393,21511074,19841710,19841712,16952113,16952114,17176986,12077422,8121337,5202946,3174308,1858246,1858244,3174300,5202935,7836589,11055981,11055980,7929207,7929205,11864302,16903292,11829184,11829186,16903298,14930655,14930656,20829245,27993582,28772443,28772442,22034354,15932928,15932930,16427080,16427082,22611288,29978018,37297419,28764232,28764233,29978010,29978009,38546847,48459073,47204027,37296789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342573, s2 = 15050617, dlinesl.size( ) = 48 s1 = 12291791, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15244390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16317916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16317916, s2 = 15244389, int(edited[s2]) = 0 s1 = 16317916, s2 = 15244389, d1 = 19, d2 = 23 Dl.O(d1) = 219333484,222129209,224529592,226615039,228432634,230030671,231448263,230030672,228432636,226615040,224529594,222129210,219333487,216024394,212029948,207141146,273724323,176521538,165866356,154097407,141423798,128055420,114165938,100132447,86166742,72568605,59833134,48446733,38538099,29971934,29971933,38538097,38538100,38538101,48446734,59833135,72568606,86166743,100132449,114165939,128055421,141423800,154097409,262735315 Dl.O(d2) = 5598837,267916653,12681904,17902326,24283066,31796943,28930827,255417595,10806629,255046797,267966441,4496071,2701430,1565131,254227919,4496069,7140734,10806624,15618963,16960078,11871942,7935605,7935604,11871940,16960073,255971111,268970577,48938721,48938722,60336347,73076632,72802980,60065083,48668778,38747008,38747009,39359656,40122344,50143450,61625348,74403995,88009322,100906308,93465998,79334794,79334793,85655868,72068429,59333960,49286643,39359633,30758694,23335997,23335998,30758696,39359635,49286649,60688052,73436413,60713489,60713488,73461467,78366803,92402327,91272763,78366805,78366806,73316824,73316825,86926223,76984199,76984200,73076652,60336359,48938725,48938724,60336355,73076645,86398622,72802975,72802974,79334781,65971065,53904730,53904729,53904742,65971085,79334803,79334647,79334648,93465827,93466002,93465983,93465982,99605880,113620928,120152525,105940528,102435825,88433796,88433794,93197338,79082319,79082320,87054422,93465855,93465854,107895250,122311878,257863804,87054417,256708932,73076635,258481222,256708934,60688048,49286647,49286644,270357751,65970969,268740652,270489561,79334690,93465862,107895253,122311880,257778692,257778694,79334750,65971031,53904695,53904696,64205093,64205092,77352804,91272741,91272743,105494964,119733341,119733348,105494972,105494971,119733345,133606934,129053580,129053578,142427687,149553333,136288414,125414892,270072316,107895367,122311866,107895238,107895237,93465970,93465969,107895353,122311995,136288512,136288527,122312008,257778700,93466057,89757336,89757335,103860879,118005315,131832490,118005298,118005297,131832488,145091347,131832511,131832512,259647520,138738321,146863653,159236883,146863668,133606940,119733354,119733355,260713718,125414889,125414890,131832517,145091372,138738325,125414895,111616154,97697810,83840294,258255170,111616153,260116964,111616138,97697800,83840288,270384046,257646256,70315517,258255168,111616143,125414880,261458014,93466551,93466553,86952071,86952072,100935317,86952023,73340815,73340814,86952019,100935313,260116966,111616167,97697814,97697815,111616170,107388047,92977205,92977206,107388049,258823042,107388062,260063966,154876321,271365018,100935273,100935262,100935263,86952030,73340819,60596153,49195659,39269634,39269633,49195654,60596143,73340802,73340831,86952047,100935342,114989287,260631244,261169999,153664067,165444381,176126076,262950392,127650037,113782454,259375541,72222501,59485935,59485934,258750553,99769056,113782452,261170001,259993525,260593293,126521395,112657142,112657141,126521393,139886546,259056650,92981577,258429704,259683666,112657137,98661389,84731840,84731839,71161898,58439943,47064241,47064240,53507994,43028471,43028470,53507989,65533491,71275912,84849803,98776541,112766377,121777123,107392385,107392384,121777121,128210184,114327333,100296994,100296993,92578112,92578111,106897194,121164181,127782819,121164185,114327322,100296972,97782285,83923761,83923762,97782287,88321909,88321908,102317647,98776551,85934750,72340999,72340998,78869541,78869540,92981568,85934745,85934746,99889882,112657166,98661430,98661429,257813886,78869557,65533503,65533504,78869536,71275917,58544264,58544265,65533484,256666096,92981554,107392373,121777109,135717587,121777114,107392377,107392378,113908280,113908279,114747081,114747080,260894290,259683660,121777111,121777110,126672033,112815090,260159792,258920584,258814005,73117856,258920582,74833845,258532824,49377072,60778456,73526607,258814002,62037233,50545320,40509598,31813585,256557039,50545322,258190866,50545324,50545323,257002696,31813586,257105447,62037241,74833851,74833848,74833849,270802196,100297409,269824710,72738526,60002004,48610732,256432407,22736937,22736938,30118689,38695162,269354255,258165335,72738535,258788964,257556486,258165309,256975893,255933349,7663433,7663434,11520496,16530052,255933355,30118294,30117994,30117995,38694258,269356191,86388100,78802073,257467936,53452377,65472083,78480911,65196575,65196573,65472095,72738250,60001448,60001449,72738251,65767628,65767627,79123252,256978584,93239537,93239536,100297462,100345187,100345188,86388130,72792380,60053890,60053889,72792378,86388128,78802083,65472092,258078640,44809114,44809113,48657391,43199167,43199166,53710855,65767647,68111883,81600671,92467838,78431599,255226474,53165261,53165260,42715620,254430900,267854160,254894352,255622718,8756509,254431206,3948609,3948608,6301549,9404939,9597220,13975147,19522361,26239324,26248365,19531080,19531079,268468876,255622716,34112377,255622714,65766986,65766991,65766989,257143572,93239009,258342822,258342824,93239010,79122650,65766987,65766988,79122652,93239014,258342826,131849991,260210466,103881276,89779782,76002349,76002350,89779785,260807374,118024010,118024011,271944084,131849994,118024014,260210468,272333644,157542364,145108383,272333646,262417506,272333642,131849992,272952599,273607073,169004105,169004106,179289180,263301166,186151551,186151552,188338950,263930481,263930483,273364827,154361307,141712338,128365311,261766279,261766283,271822561,100464885,86506843,270862069,72591478,59853887,258154185,86188998,86506842,259426761,114182303,271813583,114489391,260643587,260621441,260621443,141434489,261397438,259616612,271146453,94410802,80356741,66930773,66930772,80356739,94410800,260379995,122962747,260233116,258824479,269840275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16317916, s2 = 15244389, dlinesl.size( ) = 2 s1 = 16317916, s2 = 15244389, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 16317916, Dl.E( ) = 24, 1.41e-05 seconds used appending s1 = 14203178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8588216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8588216, s2 = 11414286, int(edited[s2]) = 0 s1 = 8588216, s2 = 11414286, d1 = 58, d2 = 41 Dl.O(d1) = 260852541,119645500,133518437 Dl.O(d2) = 257181935,258385703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 2820326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14909225, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15244477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12292823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12292823, s2 = 10778690, int(edited[s2]) = 0 s1 = 12292823, s2 = 10778690, d1 = 11, d2 = 17 Dl.O(d1) = 184872312,184872313,193214168,195230667,187160545,187160546,195230668,195230695,202128890,207926697,212698762,207920397,202122225 Dl.O(d2) = 259934303,84894668,71320857,71320856,84894667,92976413,78864366,65528311,65528312,65528307,53502702,53502703,43023252,43023251,53502736,65528329,65528330,78864387,92976445,107387225,107387237,107387236,121772058,135712623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12292823, s2 = 10778690, dlinesl.size( ) = 14 s1 = 10778691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10778691, s2 = 12292824, int(edited[s2]) = 0 s1 = 10778691, s2 = 12292824, d1 = 1, d2 = 1 Dl.O(d1) = 150578003,137573403,123885971,109740632,109740631,115197822,129129417,126084929,126084928,112229518,98251210,98251211,112229488,112229487,126084914,126084918,126084917,126670066,126670065,140023273,140020785,140020786,152715526,259934302,164555884,175319838,184872250,193214093,262664084,200372461,193212034,184869966,184869965,261664012,177882975,262817082,262816475,187153408,195223534,264817051,264965694,215517384,212699130,207920737,202122553,195223876,195223877,202122559,207920744,211427071,207920339,202122162,195223579,195223552,187153424,187153423,195223551,202122125,195223613,187153451,177882998,167388406,155755930,143203603,143203604,155755932,167388413,177883006,187153463,195223631,202122235,264287593,202122570,207920761,207926936,212705183,212699130,207920737,202122553,195223876,195223877,202122559,207920744,211427071,207920339,202122162,195223579,195223552,187153424,187153423,195223551,202122125,202122193,202122192 Dl.O(d2) = 150578003,137573403,123885971,109740632,109740631,115197822,129129417,126084929,126084928,112229518,98251210,98251211,112229488,112229487,126084914,126084918,126084917,126670066,126670065,140023273,140020785,140020786,152715526,259934302,164555884,175319838,184872250,193214093,262664084,200372461,193212034,184869966,184869965,261664012,177882975,262817082,262816475,187153408,195223534,264817051,264965694,215517384,212699130,207920737,202122553,195223876,195223877,202122559,207920744,211427071,207920339,202122162,195223579,195223552,187153424,187153423,195223551,202122125,195223613,187153451,177882998,167388406,155755930,143203603,143203604,155755932,167388413,177883006,187153463,195223631,202122235,264287593,202122570,207920761,207926936,212705183,212699130,207920737,202122553,195223876,195223877,202122559,207920744,211427071,207920339,202122162,195223579,195223552,187153424,187153423,195223551,202122125,202122193,202122192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10778691, s2 = 12292824, dlinesl.size( ) = 2 s1 = 10778691, s2 = 12292824, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10778691, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 16293840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11093399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11107779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107779, s2 = 12657081, int(edited[s2]) = 0 s1 = 11107779, s2 = 12657081, d1 = 6, d2 = 23 Dl.O(d1) = 46460242 Dl.O(d2) = 262303471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107779, s2 = 12657081, dlinesl.size( ) = 24 s1 = 14105114, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105114, s2 = 10250730, int(edited[s2]) = 0 s1 = 14105114, s2 = 10250730, d1 = 8, d2 = 15 Dl.O(d1) = 98170030,84274841,70723312,58007940,58007939,70723343,77927325,66851735,66851734,80281514,84274896,70723366,58007961 Dl.O(d2) = 36745913,36745914,36745771,36745770,36745832,36745833,46633108,58007869,270281051,98169977,84274799,84274798,98169976,112131636,125968142,139320069,152028301,152028298,152028297,139320066,125968140,112131634,112131635,112131636,125968143,139320072,152028306,163894400,163894398,152028304,152028303,163894396,152028298,152028297,139320066,139320065,152028295,263075571,174707482,174707485,174707484,163894404,152028308,152028309,163894401,152028307,152028306,163894400,163894398,163894394,163894395,263075573,184325835,174707486,174707487,184325836,174707483,163894399,163894400,263075575,163894399,163894400,163894398,152028304,139320070,139320069,152028302,152028305,152028299,152028300,163894397,174707482,184325835,174707486,174707487,263838269,199980793,264132394,211154107,210706020,205551885,199320399 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105114, s2 = 10250730, dlinesl.size( ) = 2 s1 = 14105114, s2 = 10250730, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14105114, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 15244571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10300001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431017, s2 = 6999279, int(edited[s2]) = 0 s1 = 11431017, s2 = 6999279, d1 = 44, d2 = 40 Dl.O(d1) = 183130220,262565969 Dl.O(d2) = 261166072,42006461,42006462,52345449,48431940,38524122,29958945,22594426,22594425,29958943,38524120,48431942,59817899,48489105,38575959,30005193,22635323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431017, s2 = 6999279, dlinesl.size( ) = 34 s1 = 11356647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356647, s2 = 11335886, int(edited[s2]) = 0 s1 = 11356647, s2 = 11335886, d1 = 11, d2 = 12 Dl.O(d1) = 260144940,99647818,99647817 Dl.O(d2) = 262226641,154317765,261215919,260639791,100415865,260039407,100415867,100415868,114440338,114440339,128316865,128316866,125454122,111651582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356647, s2 = 11335886, dlinesl.size( ) = 14 s1 = 14203797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11357613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11357613, s2 = 15063431, int(edited[s2]) = 0 s1 = 11357613, s2 = 15063431, d1 = 32, d2 = 46 Dl.O(d1) = 263159613,264508107,207952795,212726624,216630092,216630096,212726637,207952803,202162716,202162718,207952800 Dl.O(d2) = 12355601,12355647,12355356,254851029,5387748,5387749,8347574,8346921,5387355,3312800,1948935,1113378,624802,624801,1113372,1948923,3312770,5387305,5975517,8347084,12354734,8347520,5387720,5387721,5387450,5387448,8347077,8347348,8347349,9131160,8347284,8347283,9131154,9131155,13360880,13360842,13360841,12355045,8347582,8347583,12355054,17519750,17520099,12355074,8347347,5387606,5387464,3312861,1948969,1948971,3312866,5387472,8347115,8347301,5387585,5387538,3312899,1948984,1113402,624815,624816,1113404,1948987,3312908,5387550,5975505,3736965,2237396,1297539,1297541,2237400,3736973,5975523,8347306,5387651,3312968,3312969,5387656,8347279,12354898,8347212,8347213,5387600,3312937,1949001,1949002,3312940,5387604,8347341,12354880,12354882,12354784,8347129,5387481,3312870,3312871,5387483,8347134,12354786,17520122,17520197,12354844,8347173,5387512,3312889,3312888,5387509,8347167,254850975,8347161,8347325,12355049,255565781,23864265,17520134,12354796,12354798,13360865,13360866,18763047,23864338,17520194,12354837,8347165,8347164,9131149,11292495,11292496,15093921,10410182,10410183,15093926,12355312,8347541,5387732,5387731,8347538,12355309,12354890,12354889,17520150,17520727,12355274,8347509,8347508,12355270,12355215,8347473,8347474,12355219,12355253,17520710,17520158,12354812,12354814,17520160,17520477,17520476,23864227,23864226,17520128,12355201,12355202,13360860,13360859,18763042,16242847,11292483,7497494,4739416,2856372,2856373,4739420,7497501,11292504,16242871,21015607,16242816,16242817,17520771,17520763,12355305,12355306,17520768,23864937,17520695,12355243,12355244,12355324,8347553,5387737,5387736,8347550,12355194,12355193,17520626,23864294,23864293,23864944,22405361,16242882,16242884,17520632,23864873,31358702,33073655,31358125,23864986,22405273,22405274,23864876,23864318,17520177,12354829,12354826,17520169,256017657,29768294,29768312,29768311,38339395,268996281,61536043,50058334,50058335,61536772,61776653,50297150,40276621,31592201,31592200,40276619,50297146,42804584,33772363,33772364,33772428,42804680,53257679,65247081,53257573,42804582,33772413,33772412,42804647,53257644,50297173,40276640,33772403,33772406,33772395,33772390,33772388,33772454,25962877,25962876,25962871,25962872,255762450,53257690,256979312,33415093,33415092,42404993,52805097,52805099,42404996,42404997,52805103,64718855,77907064,259049935,77907070,64718857,64718858,77907073,77907068,64718856,52805104,42404998,33415095,25647533,19029683,13583104,9300593,6092440,6092441,9300598,13583110,255677682,31795867,40490801,43070988,53255234,42802542,33770719,25961601,25961604,33211351,25463833,25463834,25463838,33211361,42170972,36563448,28093219,20918859,15012494,10341714,6808333,4270171,2553049,2553047,4270167,4990038,4990039,7861926,11775369,16838511,17810500,17810501,24178887,20506943,14711895,14711894,19518808,13972151,13972149,19518803,26235488,255980764,16738495,16738494,22974919,28210507,21017243,15095119,15095117,21017241,28210502,29699601,28210409,21017171,21017172,28210413,27215694,20287355,14557394,14557392,20287350,21017374,15095190,15095167,10411000,6862742,4307038,4307039,6862744,10411005,15095173,21017074,21017073,15095112,15095114,21017233,28210493,28210401,21017163,15095070,15095071,21017167,26962125,26962124,35042337,44416718,44765973,35339676,27215673,20287342,14557388,14557389,20287344,26962116,26962117,35042327,33392016,33392017,42380181,37809022,29244630,29244629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11357613, s2 = 15063431, dlinesl.size( ) = 24 s1 = 12508272, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11478763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11478763, s2 = 11360388, int(edited[s2]) = 0 s1 = 11478763, s2 = 11360388, d1 = 11, d2 = 1 Dl.O(d1) = 263591782,184701934 Dl.O(d2) = 164321651 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11478763, s2 = 11360388, dlinesl.size( ) = 12 s1 = 8535887, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14975490, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14279024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12508700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11127327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127327, s2 = 15020094, int(edited[s2]) = 0 s1 = 11127327, s2 = 15020094, d1 = 0, d2 = 47 Dl.O(d1) = 51186064 Dl.O(d2) = 171351946,171351947,181376490,190181715,197784189,204261924,209666205,214100150,217740479,264375234,209666196,204261917,204261916,263740158,214100141,217740483,220778575,223365356,225601736,265487330,227546811,225601717,264887766,217740500,265487335,225601739,223365361,223365360,225601714,227546809,229248313,229248318,227546814,265107360,220778564,217740474,214100135,209666197,204261917,197784180,262499664,171351946,171351947,181376490,190181715,197784189,204261924,209666204,214100147,217740485,214100142,214100141,217740483,220778575,223365355,225601734,223365370,220778587,220778588,220778577,217740484,217740483,220778575,223365355,225601734,223365370,220778587,220778588,220778577,220778578,223365359,223365371,220778589,264887770,274238880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127327, s2 = 15020094, dlinesl.size( ) = 14 s1 = 14298934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245729, s2 = 11342860, int(edited[s2]) = 0 s1 = 11245729, s2 = 11342860, d1 = 6, d2 = 18 Dl.O(d1) = 99525834 Dl.O(d2) = 260227012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245729, s2 = 11342860, dlinesl.size( ) = 20 s1 = 11427807, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11255957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255957, s2 = 11368410, int(edited[s2]) = 0 s1 = 11255957, s2 = 11368410, d1 = 11, d2 = 10 Dl.O(d1) = 259029206 Dl.O(d2) = 156004507,156004504,156004505,167613949 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255957, s2 = 11368410, dlinesl.size( ) = 14 s1 = 11443689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443689, s2 = 11369914, int(edited[s2]) = 0 s1 = 11443689, s2 = 11369914, d1 = 4, d2 = 9 Dl.O(d1) = 188939684 Dl.O(d2) = 261940885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443689, s2 = 11369914, dlinesl.size( ) = 12 s1 = 7096356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15129182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048145, s2 = 11371322, int(edited[s2]) = 0 s1 = 11048145, s2 = 11371322, d1 = 2, d2 = 20 Dl.O(d1) = 25764285,255678237,6095135,6095137,9304908,13589427,19037533,25656106,33424227,29799644,22433182,22433184,22197339,16068380,16068381,22197341,29540805 Dl.O(d2) = 38104137,29540794,22197334,16068377,16068378,22197336,29540798,38104141,257510901,72132102,85716622,99664124,113676758,127547421,117853894,117853895,131682018,272596920,117853879,260799739,103699437,89583565,89583564,103699435,103699447,89583575,258862780,51186882,41030415,32237924,24640049,18184032,18184031,17183361,255539971,30895285,39502717,49433867,59590071,48203612,38294214,29727258,29727259,38294216,48203614,59590075,72324550,85917801,99873027,108757051,94463542,80403726,80403727,94463547,108757061,123026302,123026295,123026296,260506818,118540863,260824087,271001873,76369187,257743241,51612571,256602891,268283525,13062907,13062908,268283527,13062910,13062909,18390634,256602889,51612569,44489383,44489384,37642756,37642757,47549000,58931314,58931319,71653254,75639130,62694967,62694966,75639129,75639139,75639140,256035562,59526120,59526118,62694969,51065850,51065851,51065863,62694972,270402220,258904134,93377226,93377224,79250049,77395688,77395687,79250065,79250066,79250054,258250470,93377245,93377244,107799209,119765936,105532571,105532573,119765937,133635600,258872858,115581873,101545824,87583452,73982860,73982861,87583454,271383423,116441518,130278521,116441522,116441521,130278526,143606114,156140593,156140600,156140599,167742960,175007600,164192172,164192173,175007602,184607899,177471456,166933919,155250170,142614540,129244565,115316430,101238056,87237746,73616195,73616194,72782665,60043840,48647394,38726320,30144922,30144923,38726322,40406045,50439928,61930352,74351931,61575095,50095280,50095279,61575093,74351927,87954203,101926987,103432318,101926983,101926982,89338676,75579735,62639370,51015133,40879082,40879081,48487391,48487390,48171838,256832624,22342839,255905221,38262324,48171839,59558286,72292394,85884641,259999297,127727716,113855453,113855452,127727715,127727721,127727720,118029528,103886990,89785587,76008344,63025291,51344677,41159766,32345155,24729553,24729552,32345148,24729549,18256712,18256711,24729547,32345144,41159750,41159749,257029798,26914517,26914516,28113570,268198739,10356186,6820323,4278426,4278427,6820325,10356189,15028440,15028428,10356181,6820320,6820321,6820336,6820335,10356200,15028455,20936655,256281747,46452003,258634173,57807863,46452002,36586165,36586164,46452000,57807860,70508968,258634175,70508971,84044170,84044169,97914904,111849083,125665049,139003970,141395395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048145, s2 = 11371322, dlinesl.size( ) = 12 s1 = 14279125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279125, s2 = 15339028, int(edited[s2]) = 0 s1 = 14279125, s2 = 15339028, d1 = 66, d2 = 1 Dl.O(d1) = 107951514,93514349,93514350,107951516,122377675,136361795,260960888,261527950,122377681,122377680,136361793,129887174 Dl.O(d2) = 84330541,70771607,70771606,84330539,98237854,98237865,98237866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279125, s2 = 15339028, dlinesl.size( ) = 2 s1 = 14279125, s2 = 15339028, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14279125, Dl.E( ) = 72, 2.1e-05 seconds used appending s1 = 15412063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15412063, s2 = 12303357, int(edited[s2]) = 0 s1 = 15412063, s2 = 12303357, d1 = 17, d2 = 12 Dl.O(d1) = 13364848,13364847,18768521,21344833,28573077,37076425,46956789,58323981,71039371,259297193,112522387,261096765,152488516,164355870,262596692,138015617,124449904,271214264,258571876,101296030,87301857,73681191,60924025,49626296,49613037,49613036,49621158,44336595,44093698,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007,4047983,2423378,2423373,4048012,6457403,6457401,9829710,14309179,19984523,26859710,34930865,39629012,30979202,30979204,30946221,23498750,17209834,12101561,12101562,255542533,30946231,39571326,49523120,50976227,62596396,258945759,66231233,66170522,54059206,43490323,43490326,36410668,36410666,46261394,57603320,54297586,54297590,43648315,34452992,34452995,43648329,44243736,34886199,26826993,19959989,14291444,14291442,19944988,14283749,9814807,6449258,4043612,4043609,6449336,9815059,14285200,19736064,19736067,14146076,9729162,9729166,14146095,19737728,19756715,19756718,26544375,34505925,34343397,26456860,26456864,34343413,43460817,41437549,32573545,32573540,41437527,44171215,34828527,26784433,26784434,34828534,44171230,54994230,67322648,256251892,43480445,34354345,26462642,19715312,14134635,9723417,9723350,9723353,9724130,6396500,4013875,2405449,1391914,791514,791516,1391818,791994,791995,792002,792006,1392862,2407231,4017187,6402808,9736628,14162220,19771918,26573518,34425085,34559713,34548601 Dl.O(d2) = 137198477,150244501,262568861,263427765,185082237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15412063, s2 = 12303357, dlinesl.size( ) = 2 s1 = 15412063, s2 = 12303357, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15412063, Dl.E( ) = 18, 7.87e-06 seconds used appending s1 = 7127810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12296719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15244873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11046841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046841, s2 = 7811416, int(edited[s2]) = 0 s1 = 11046841, s2 = 7811416, d1 = 2, d2 = 28 Dl.O(d1) = 25386405 Dl.O(d2) = 15584197,15584196,254160930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155609, s2 = 8210222, int(edited[s2]) = 0 s1 = 11155609, s2 = 8210222, d1 = 17, d2 = 40 Dl.O(d1) = 260114775 Dl.O(d2) = 16449602,22638231,30009084,38580921,38580923,48495648,48495682,48495680,41890723,32955381,32955378,41890712,38580941,30009069,30009070,30009010,22638190,16449577,16449578,22638197,30009028,32955329,25235414,18666368,18666369,25235419,32955338,30009122,22638253,16449620,11461342,7623529,7623527,11461333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 12297497, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15130189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13702518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15269448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15269448, s2 = 4681187, int(edited[s2]) = 0 s1 = 15269448, s2 = 4681187, d1 = 38, d2 = 6 Dl.O(d1) = 265247270,225435100,265042878 Dl.O(d2) = 189589634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15269448, s2 = 4681187, dlinesl.size( ) = 34 s1 = 15207878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15207878, s2 = 7050608, int(edited[s2]) = 0 s1 = 15207878, s2 = 7050608, d1 = 35, d2 = 43 Dl.O(d1) = 260072917,128982198,142357199 Dl.O(d2) = 261848322 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6970436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14203046, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11390023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390023, s2 = 11029080, int(edited[s2]) = 0 s1 = 11390023, s2 = 11029080, d1 = 1, d2 = 1 Dl.O(d1) = 170807234,180934169,170807231,159469481,262475679,180934171,180934167,180934168,189819223,196230389,263301873,169014290,157553277,145120231,131862727,118037411,103895026,89793646,76016668,63033736,51353079,41167837,256689522,8819970,8819969,12960183 Dl.O(d2) = 170807234,180934169,170807231,159469481,262475679,180934171,180934167,180934168,189819223,196230389,263301873,169014290,157553277,145120231,131862727,118037411,103895026,89793646,76016668,63033736,51353079,41167837,256689522,8819970,8819969,12960183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390023, s2 = 11029080, dlinesl.size( ) = 2 s1 = 11390023, s2 = 11029080, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11390023, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12298971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14205490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12511110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11050523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11050523, s2 = 11144170, int(edited[s2]) = 0 s1 = 11050523, s2 = 11144170, d1 = 19, d2 = 0 Dl.O(d1) = 259766103,122974708,136805674,146802462,261422395 Dl.O(d2) = 33004989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11050523, s2 = 11144170, dlinesl.size( ) = 14 s1 = 11155127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155127, s2 = 11396512, int(edited[s2]) = 0 s1 = 11155127, s2 = 11396512, d1 = 12, d2 = 10 Dl.O(d1) = 255455740,23672386,23672387,23673141,17353739,12225033,12225032,17353732,23673128,254493142,11268071,7480036,4727225,4727226,260001579,127759461 Dl.O(d2) = 261634780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155127, s2 = 11396512, dlinesl.size( ) = 14 s1 = 1773714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1773714, s2 = 8531495, int(edited[s2]) = 0 s1 = 1773714, s2 = 8531495, d1 = 0, d2 = 19 Dl.O(d1) = 46787098,258031751,84426164,98335695,112318549,126179144,112318548,112318547,261083595,152284765,164168923,174985904,164168936,152284779 Dl.O(d2) = 140161253,139554276,139554275,139554272,126179159,261083599,152284792,164168939,164168938,152284781,139554265,261635259,262155535,139554266,261635261,139554259,139554258,262639907,152284786,139554269,139554270,152284787,164168925,174985904,164168936,152284779,262202358,112318554,98335700,98335701,112318555,126179158,112937680,98948539,98948538,112937677,126792086,140142464,152836818,140142466,140142465,152836817,140142469,126792097,112937686,98948544,85023559,71451419,58720907,58720906,71451417,85023556,73975800,61197534,49718972,39700306,39700305,49718971,61197533,73975798,81227240,81227241,95284829,101531765,115561080,129438721,142757552,142757564,155348873,155348874,155348883,142757563,129438734,129438735,117977862,103831261,89725875,89725873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1773714, s2 = 8531495, dlinesl.size( ) = 20 s1 = 12299923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14279452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14279459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279459, s2 = 13712330, int(edited[s2]) = 0 s1 = 14279459, s2 = 13712330, d1 = 21, d2 = 16 Dl.O(d1) = 263370775,181421635,171401267,171401266,263370771,263523270,190223024,262687750,263370781,264376895,274094864 Dl.O(d2) = 160181735,262687744,171401318,181421657,171401298,160181732,147932373,147932372,160181730,160181694,160181695,171401273,160181693,147932347,262006693,160181759,262207248,147932346,262207246,121016390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279459, s2 = 13712330, dlinesl.size( ) = 2 s1 = 14279459, s2 = 13712330, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14279459, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 11333471, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15245313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14090349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14090349, s2 = 10234935, int(edited[s2]) = 0 s1 = 14090349, s2 = 10234935, d1 = 1, d2 = 14 Dl.O(d1) = 86432181 Dl.O(d2) = 261760406,180989744,262479434,77774148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14090349, s2 = 10234935, dlinesl.size( ) = 12 s1 = 14929165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14929165, s2 = 11403762, int(edited[s2]) = 0 s1 = 14929165, s2 = 11403762, d1 = 27, d2 = 11 Dl.O(d1) = 67812328,55470694,48548775,38634427,38634428,48548778,55470698,46395319,46395318,55470707,44621416,44621417,46395313,38634413,30060598,30060597,38634408,48548664,48548665,48548695,59941076,72680395,72680342,59941024,59941025,59941184,70441089,67812269,55470635,55470636,67812271,59940948,48548604,38634316,30060550,30060551,38634317,30060617,22683575,16484887,16484886,22683571,30060613,27142627,20234385,14519780,14519781,20234373,20234372,27142608,30060582,30060583,38634381,38634611,268091514,48548788,48548692,255107504,30060574,254790224,48548935,59941269,72680300,59940967,48548709,38634373,38634374,48548713,59941087,72680399,67812288,254790204,35238735,35238729,27142596,20234365,20234366,27142599,35238733,38634320,48548608,38634573,30060736,22683712,22683711,30060733,38634568,48548932,55470674,55470657,55470658,55470672,48548810,48548811,58752839,59940928,48548582,38634304,30060544,22683532,16484864,16484866,22683535,30060548,38634314,255929554,40849740,50984357,59940932,59940933,257799772,60697023,257551982,72680440,256971194,78643410,72680253,59940915,59940916,72680256,72657994,72657993,86258309,100224561,87062415,269352864,59940959,48548610,48548611,52688198,64588706,72680243,86279664,100244045,258415494,59941153,48548823,48548824,59941158,72680447,86279759,74488406,74488407,86279666,269510612,269510614,49295641,49295642,49295632,49295633,60697027,73444934,78643421,257551974,257835103,78643416,92705016,100244050,107401319,121785757,113576803,100244078,86279752,72680414,59941105,268645722,38634400,48548738,59941107,257208626,92705009,92705011 Dl.O(d2) = 178843424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14929165, s2 = 11403762, dlinesl.size( ) = 8 s1 = 11547985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547985, s2 = 11404030, int(edited[s2]) = 0 s1 = 11547985, s2 = 11404030, d1 = 13, d2 = 1 Dl.O(d1) = 228443776,228443777,226626842,265231694 Dl.O(d2) = 185985465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547985, s2 = 11404030, dlinesl.size( ) = 14 s1 = 11522809, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522809, s2 = 11113026, int(edited[s2]) = 0 s1 = 11522809, s2 = 11113026, d1 = 38, d2 = 42 Dl.O(d1) = 264803428 Dl.O(d2) = 255993250,21850140,21850141,19157269,19157266,23312154,17049742,11960968,8006906,5097334,3093996,254380395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522809, s2 = 11113026, dlinesl.size( ) = 24 s1 = 12512346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12301631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12301631, s2 = 11151234, int(edited[s2]) = 0 s1 = 12301631, s2 = 11151234, d1 = 5, d2 = 6 Dl.O(d1) = 196354652 Dl.O(d2) = 258180252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12301631, s2 = 11151234, dlinesl.size( ) = 2 s1 = 12301631, s2 = 11151234, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12301631, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 14279566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279566, s2 = 11586608, int(edited[s2]) = 0 s1 = 14279566, s2 = 11586608, d1 = 44, d2 = 39 Dl.O(d1) = 260859227,146858384,159231715,170569273,180700474 Dl.O(d2) = 234311143,235314648,266468544 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279566, s2 = 11586608, dlinesl.size( ) = 16 s1 = 11499239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14279574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279574, s2 = 14081966, int(edited[s2]) = 0 s1 = 14279574, s2 = 14081966, d1 = 27, d2 = 18 Dl.O(d1) = 53732611,46477776,36611750,36611751,46477778,57833522,70534919,84071120,97943961,111880168,111880171,111880170,260476308,151737966,139035503,139035502,151737965,163614524,174452930,174452931,184103788,192556274,199830125,205978609,264153514,218638411,221518387,223986553,226124914,227605699,229299115,230797234,230797231,229299113,227605697,225670300,225670301,265295850,273790334,190542466 Dl.O(d2) = 264060526,262936420,262476956,160653557,260876450,259665314,78675968,258411370,72694284,59956311,256890494,30073379,30073378,33856434,42901435,48564480,48564479,59956315,72694288,86291931,268319000,51344061,41159123,32344487,24728826,18256012,12952740,8813543,5741518,5741519,6029457,6029429,3772048,3772049,6029433,9209792,13467754,18899393,254953256,31895232,24366928,17971040,12735664,8654370,5629280,3497933,2078655,1194842,1194843,2078658,3497937,5629288,8654385,12735688,13050376,13050373,9025090,9025089,13234496,267926984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279574, s2 = 14081966, dlinesl.size( ) = 8 s1 = 11437101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11437101, s2 = 2713699, int(edited[s2]) = 0 s1 = 11437101, s2 = 2713699, d1 = 11, d2 = 17 Dl.O(d1) = 264991159,274346901,274491206,274378873,274147087 Dl.O(d2) = 260882434,91719166,77791170,271098326,257210473,33340066,42320539,52707681,60849329,49447419,49447417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11437101, s2 = 2713699, dlinesl.size( ) = 18 s1 = 15284965, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12302077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15133328, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15133328, s2 = 11514708, int(edited[s2]) = 0 s1 = 15133328, s2 = 11514708, d1 = 3, d2 = 19 Dl.O(d1) = 182908028 Dl.O(d2) = 264769937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15133328, s2 = 11514708, dlinesl.size( ) = 20 s1 = 12302475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14160003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14160003, s2 = 12302476, int(edited[s2]) = 0 s1 = 14160003, s2 = 12302476, d1 = 1, d2 = 1 Dl.O(d1) = 194319208,186115506,176702890,176702889,186115504,194319206,264242779,263928005,273363713,176702884,263575721,186115501,176702886,176702887,186115502,194319203,194319211,201345626,207259208,212135837,216120021,219420567,216120016,216120015,219420566,218765617,265216345,265135472,215375177,218765616,218765610,218765609,218765611,221628095,224086163,274337081,215375183,211272167,206250782,273976147,211272160,211272163,215375176,264953825,274168574,206250781,200178053,192986044,184602108,184602109,263845631,206250784,211272169,211272152,211272151,264953827,211272161,211272162,264953829,215375170,211272147,206250768,264458849,206250773,264719117,218765615,218765614,215375175,211272153,206250772,264458851,265166045,265166047,265330762,218765620,218765594,215375161,264681472,200178036,192986029,273698681,274086051,218765605,264920046,200178061,264124734,184602092,175001153,175001154,263485121,273847987,200178039,206250761,211272143,274253472,206250762,264458845,264418254,192986034,184602096,175001156,164185403,152302131,139572439,126197142,112336643,98353726,98353727,112336645,126197146,139572445,152302133,152302134,164185407,175001160,184602100,192986032,184602094,175001172,164185415,152302140,152302139,152302138,152302137,164185413,175001170,263022730,164185409,175001164,184602105,192986039,184602114,175001175,175001174,273827744,192986035,264124738,192986036,200178041,206250763,264124742,192986051,263845635,200178056,192986046,192986045,264169301,206250795,200178063,200178062,206250794,211272170,206250785,206250786,264719121,215375188,218765627,218765628,221628105,224086170,224086174,221628111,221628106,221628107,224086171,265670062,221628101,221628102,265670064,221628110,224086172,274507247,266086493,231147271,265953104,228073688,226217908,224086167,221628100,221431712,221431713,223671905,223671904,223671903,221162283,218231653,265129569,265151070,221162277,223671902,221162280,218231649,214743695,214743696,218231651,264701020,264148240 Dl.O(d2) = 194319208,186115506,176702890,176702889,186115504,194319206,264242779,263928005,273363713,176702884,263575721,186115501,176702886,176702887,186115502,194319203,194319211,201345626,207259208,212135837,216120021,219420567,216120016,216120015,219420566,218765617,265216345,265135472,215375177,218765616,218765610,218765609,218765611,221628095,224086163,274337081,215375183,211272167,206250782,273976147,211272160,211272163,215375176,264953825,274168574,206250781,200178053,192986044,184602108,184602109,263845631,206250784,211272169,211272152,211272151,264953827,211272161,211272162,264953829,215375170,211272147,206250768,264458849,206250773,264719117,218765615,218765614,215375175,211272153,206250772,264458851,265166045,265166047,265330762,218765620,218765594,215375161,264681472,200178036,192986029,273698681,274086051,218765605,264920046,200178061,264124734,184602092,175001153,175001154,263485121,273847987,200178039,206250761,211272143,274253472,206250762,264458845,264418254,192986034,184602096,175001156,164185403,152302131,139572439,126197142,112336643,98353726,98353727,112336645,126197146,139572445,152302133,152302134,164185407,175001160,184602100,192986032,184602094,175001172,164185415,152302140,152302139,152302138,152302137,164185413,175001170,263022730,164185409,175001164,184602105,192986039,184602114,175001175,175001174,273827744,192986035,264124738,192986036,200178041,206250763,264124742,192986051,263845635,200178056,192986046,192986045,264169301,206250795,200178063,200178062,206250794,211272170,206250785,206250786,264719121,215375188,218765627,218765628,221628105,224086170,224086174,221628111,221628106,221628107,224086171,265670062,221628101,221628102,265670064,221628110,224086172,274507247,266086493,231147271,265953104,228073688,226217908,224086167,221628100,221431712,221431713,223671905,223671904,223671903,221162283,218231653,265129569,265151070,221162277,223671902,221162280,218231649,214743695,214743696,218231651,264701020,264148240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14160003, s2 = 12302476, dlinesl.size( ) = 2 s1 = 14160003, s2 = 12302476, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14160003, Dl.E( ) = 2, 8.82e-06 seconds used appending s1 = 11170999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414985, s2 = 11322312, int(edited[s2]) = 0 s1 = 11414985, s2 = 11322312, d1 = 71, d2 = 37 Dl.O(d1) = 184051779,192508841,199787301,205940964,211029270,215187427,218612313,265349943,218612311,215187425,264488478,273970493,274177461,221494714,223965122,226104711,223965155 Dl.O(d2) = 264338477,273619205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414985, s2 = 11322312, dlinesl.size( ) = 60 s1 = 12302573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12302907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12302923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14190994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14681534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342859, s2 = 11245730, int(edited[s2]) = 0 s1 = 11342859, s2 = 11245730, d1 = 19, d2 = 0 Dl.O(d1) = 260227013 Dl.O(d2) = 51604858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342859, s2 = 11245730, dlinesl.size( ) = 20 s1 = 11039437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039437, s2 = 16236932, int(edited[s2]) = 0 s1 = 11039437, s2 = 16236932, d1 = 9, d2 = 10 Dl.O(d1) = 16779101,11731568,11731567,16779098,23019649,29710149,22421411,16255901,16255904,268328970,12319211,8321037,8321036,12319208,17473503,23805783,255724338,29786149,22421180,16255664,11301731,11301732,16254742,16254743,22420176,29785408,30746928,23325580,23325581,29710387,22355212,255906423,22355806,29710356,29710162,29710161,38276850,29785782,22420706,22420707,29785784,23019092,16778581,11731204,7832029,4971565,4971566,254807781,16778583,255531846,22421464,29786350,23776089,23776090,31261237,38276932,29786575,29710079,22354818,22354819,22207440,22207439,29552162,25715127,24190984,17821901,17821902,23018514,23018515,23805457,24848257,24848255,23983925,268114673,268114675,13028626,13028624,16203738,16203739,22355228,29710402,31292237,28559048,255397431,10612096,7002470,4401133,2637598,2637599,4401138,7002485,10612112,13730747,10608705,10608704,7016293,4411739,4411738,7016287,7043562,7043563,8471928,8471609,8471611,8755487,12874406,17682641,12505317,8471838,5476117,5475831,254603775,12505427,17682761,24033928,21333066,17683900,12506267,12505416,8471335,5475821,5475387,3369643,1982853,1132560,635231,352514,352513,635211,1132510,1982746,1982926,3369775,5476130,7913050,5030380,3045149,3045150,5030384,7913060,255136567,23183642,30602422,39198921,49126377 Dl.O(d2) = 116031290,101984356,101984355,116031288,129930022,272902451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039437, s2 = 16236932, dlinesl.size( ) = 8 s1 = 15296203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15296203, s2 = 11584282, int(edited[s2]) = 0 s1 = 15296203, s2 = 11584282, d1 = 85, d2 = 69 Dl.O(d1) = 38077175,38077176,258742321,99648038,113661929,127533536,140888883,153563103,165352227,153563098,261190734,127533534,261710993,165352244,176042553,165352233,153563091,140888875,127533532,127533533,140888878,153563095,165352239,176042565,263165672,165352234,165352235,263143451,193776925,200863535,200863536,200863534,193776915,185512565,263537525,193776928,263893407,185512572,176042561,176042560,185512567,176042555,165352231,153563089,153563088,165352229,176042551,176042568,165352241,165352240,176042550,176042549 Dl.O(d2) = 266557609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15296203, s2 = 11584282, dlinesl.size( ) = 18 s1 = 14279699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3924546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420769, s2 = 14288865, int(edited[s2]) = 0 s1 = 11420769, s2 = 14288865, d1 = 9, d2 = 9 Dl.O(d1) = 186035870,194246649,263180406,207199633,212082192,216070798,265573875,228462430,230058026,231473453,232741183,233887153,265874868,266005480,235882339,236749192,237538883,237384387,274746876,235698727,274747065,236580813,266502338,235698726,266581740,233664687,232495230,266099906,226283112,265697718,221702551,218844103,218844104,215459779,211364883,206355613,206355609,264176548,263094336,164406981,152544760,139828716,139828715,152544758,139828720,126456743,112588775,98595645,84672676,259917056,58392817,47021516,37133874,28621600,28621599,256860995,258046570,37133876,28621601,21384466,15401304,255031460,7028330,10644959,10373237,10373236,6834962,4288579,2564057,1476528,254220097,835424,835423,1477713,1477637,835387,835388,1477638,2566204,4292236,5587011,5587010,8598227,10356662,10356663,8596427,5585696,4248056,4248053,6777206,10305509,14973343,20875468,15052288,15052287,20961731,28139752,36507158,28043567,20875471,20875472,256274243,257390187,57714803,57714802,58667351,47275731,37365718,37365719,29417905,29417906,23423831,23423832,17172561,17172560,255844630,15205641,254738808,254336848,11016722,7293446,7293445,11016720,15891458,11016659,11016660,15891460,11845004,11845003,11020242,7295819,4601337,2768501,254346156,254518346,7298362,4603417,4603416,7298361,11019470,8163292,5233191,5233188,5233208,8163308,7295558,4601118,2768377,1605031,1605032,2768090,254229910,267788352,254346496,4602026,4602025,254518246,4599413,7293168,4602833,4601917,2768928,1605366,254122664,1603918,912075,912076,912205,912203,1604128,2767147,4599251,2767056,1604074,1604075,913073,913074,1605551,1605557,913103,913102,1605595,2766675,1605656,913134,913131,912930,515083,289043,159977,159978,289047,514673,288808,159861,88021,48457,254074385,159836,288759,514584,912081,1603928,1605479,913038,913037,1605477,2769086,3045633,1773808,1011077,569879,569881,1011087,1773828,3045654,5031287,7914583,11842834,16921995,23188539,19504362,19504363,25999424,19327272,13820740,13659947,13659946,19131001,25770995,20121563,19160093,19160091,15586996,15586995,16590094,16590095,20822182,14924298,10262575,6743753,6743756,10262542,6744599,6743781,6743784,10262622,14924370,16295973,11338205,9083948,6533346,6533345,9940315,6533368,6533373,9940379,14216604,19843903,14609339,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846775,2920609,2920607,4846853,7660601,11516186,10954964,7250649,7250650,7658758,7658761,10044513,6601048,6601051,4486064,4486065,2696695,2696693,4488796,4138176,4138172,6606348,7905509,10375938,6837028,4289896,4289898,6837039,10375963,15049270,14961506,14961504,20863466,28031008,36493576,31139562,28003678,24225551,21619139,15588954,10784056,10784055,15588951,21619138,255250018,47343124,58731000,71460699,85032573,271311281,260257072,164680543,175438574,184982698,262918424,263708584,264621126,209272227,213766328,217454366,220531374,223149624,223149623,220531372,220531371,223149617,265634963,225008444,222672241,219951087,216726425,216726426,265609856,195441476,263991022,143595744,130268003,116430775,102337189,102337190,102337180,88340700,259536341,74712820,74712819,74712821,74712823,61919578,50429727,40396339,31704216,255589007 Dl.O(d2) = 186035870,194246649,263180406,207199633,212082192,216070798,265573875,228462430,230058026,231473453,232741183,233887153,265874868,266005480,235882339,236749192,237538883,237384387,274746876,235698727,274747065,236580813,266502338,235698726,266581740,233664687,232495230,266099906,226283112,265697718,221702551,218844103,218844104,215459779,211364883,206355613,206355609,264176548,263094336,164406981,152544760,139828716,139828715,152544758,139828720,126456743,112588775,98595645,84672676,259917056,58392817,47021516,37133874,28621600,28621599,256860995,258046570,37133876,28621601,21384466,15401304,255031460,7028330,10644959,10373237,10373236,6834962,4288579,2564057,1476528,254220097,835424,835423,1477713,1477637,835387,835388,1477638,2566204,4292236,5587011,5587010,8598227,10356662,10356663,8596427,5585696,4248056,4248053,6777206,10305509,14973343,20875468,15052288,15052287,20961731,28139752,36507158,28043567,20875471,20875472,256274243,257390187,57714803,57714802,58667351,47275731,37365718,37365719,29417905,29417906,23423831,23423832,17172561,17172560,255844630,15205641,254738808,254336848,11016722,7293446,7293445,11016720,15891458,11016659,11016660,15891460,11845004,11845003,11020242,7295819,4601337,2768501,254346156,254518346,7298362,4603417,4603416,7298361,11019470,8163292,5233191,5233188,5233208,8163308,7295558,4601118,2768377,1605031,1605032,2768090,254229910,267788352,254346496,4602026,4602025,254518246,4599413,7293168,4602833,4601917,2768928,1605366,254122664,1603918,912075,912076,912205,912203,1604128,2767147,4599251,2767056,1604074,1604075,913073,913074,1605551,1605557,913103,913102,1605595,2766675,1605656,913134,913131,912930,515083,289043,159977,159978,289047,514673,288808,159861,88021,48457,254074385,159836,288759,514584,912081,1603928,1605479,913038,913037,1605477,2769086,3045633,1773808,1011077,569879,569881,1011087,1773828,3045654,5031287,7914583,11842834,16921995,23188539,19504362,19504363,25999424,19327272,13820740,13659947,13659946,19131001,25770995,20121563,19160093,19160091,15586996,15586995,16590094,16590095,20822182,14924298,10262575,6743753,6743756,10262542,6744599,6743781,6743784,10262622,14924370,16295973,11338205,9083948,6533346,6533345,9940315,6533368,6533373,9940379,14216604,19843903,14609339,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846775,2920609,2920607,4846853,7660601,11516186,10954964,7250649,7250650,7658758,7658761,10044513,6601048,6601051,4486064,4486065,2696695,2696693,4488796,4138176,4138172,6606348,7905509,10375938,6837028,4289896,4289898,6837039,10375963,15049270,14961506,14961504,20863466,28031008,36493576,31139562,28003678,24225551,21619139,15588954,10784056,10784055,15588951,21619138,255250018,47343124,58731000,71460699,85032573,271311281,260257072,164680543,175438574,184982698,262918424,263708584,264621126,209272227,213766328,217454366,220531374,223149624,223149623,220531372,220531371,223149617,265634963,225008444,222672241,219951087,216726425,216726426,265609856,195441476,263991022,143595744,130268003,116430775,102337189,102337190,102337180,88340700,259536341,74712820,74712819,74712821,74712823,61919578,50429727,40396339,31704216,255589007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420769, s2 = 14288865, dlinesl.size( ) = 2 s1 = 11420769, s2 = 14288865, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11420769, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11222609, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222609, s2 = 11422826, int(edited[s2]) = 0 s1 = 11222609, s2 = 11422826, d1 = 6, d2 = 4 Dl.O(d1) = 258844132 Dl.O(d2) = 202117780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222609, s2 = 11422826, dlinesl.size( ) = 14 s1 = 15134674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11483547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11483547, s2 = 1824300, int(edited[s2]) = 0 s1 = 11483547, s2 = 1824300, d1 = 48, d2 = 70 Dl.O(d1) = 209327167 Dl.O(d2) = 37800484,37800485,44606951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11483547, s2 = 1824300, dlinesl.size( ) = 14 s1 = 15769042, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15769042, s2 = 14279787, int(edited[s2]) = 0 s1 = 15769042, s2 = 14279787, d1 = 13, d2 = 25 Dl.O(d1) = 188792781,196577823,203245754,208838060 Dl.O(d2) = 208838065,213435455,217200532,265077610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15769042, s2 = 14279787, dlinesl.size( ) = 14 s1 = 14279788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279788, s2 = 15769041, int(edited[s2]) = 0 s1 = 14279788, s2 = 15769041, d1 = 13, d2 = 2 Dl.O(d1) = 265077611,213435452,213435451,213650600,213650601,217370466,220469142 Dl.O(d2) = 213650595,209114700,203587259,196973995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279788, s2 = 15769041, dlinesl.size( ) = 8 s1 = 12304349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14279796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279796, s2 = 11426988, int(edited[s2]) = 0 s1 = 14279796, s2 = 11426988, d1 = 3, d2 = 0 Dl.O(d1) = 265781433 Dl.O(d2) = 265079928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279796, s2 = 11426988, dlinesl.size( ) = 2 s1 = 14279796, s2 = 11426988, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14279796, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14284950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12514094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11411895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11411895, s2 = 14920398, int(edited[s2]) = 0 s1 = 11411895, s2 = 14920398, d1 = 54, d2 = 63 Dl.O(d1) = 262946298,197598174,264881887,220703358,223301069 Dl.O(d2) = 255664558,15468762,10696016,7066273,4449034,4449032,7066265,10695983,15468698,21470884,19597178,19597179,268492656,64398825,59237276,47840117,37919433,37919434,39758624,49777306,61256092,50222869,40200457,39962999,39962998,49777299,39758622,255997225,23597611,21500489,21500490,255806952,37293733,37919468,36436255,27977525,25459780,18859938,13437365,9187022,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,36436341,46289318,38445974,38445973,48348177,49257990,39332235,39332234,49257988,257790262,73403466,255998536,39332108,30734110,30734109,32040459,24476328,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171,30731434,23312778,17050189,11961252,8007072,8007071,11961247,17050175,22652983,22652985,30026179,30732157,30732156,30732480,30732481,39330792,39330820,30732515,256478537,29678435,268636133,30731559,30731558,30734095,23315388,17051916,11962229,8007556,5097640,5097641,8007559,11962232,17051920,23313519,23313786,23313787,30732702,39330976,39332016,39332015,38043415,38043416,30731730,23313014,17050312,11961322,8007109,5097441,5097440,8007106,11961317,17050304,23312992,17050701,17050704,19877470,26698040,34692636,30026284,30026283,38599095,30734467,23315337,23315340,29678310,22327139,22327137,29678304,24431622,23314879,17052000,11962278,11962281,17052009,17052185,11962393,11962391,11961614,11961612,17050834,11961590,8007223,8007224,11961597,11961570,11961569,16024797,11126414,11126412,16024787,20222512,17050776,16024860,16024862,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007132,11961381,17050434,17051973,17051974,22143241,22143242,29480532,22142896,16024917,11126471,7379995,7379998,11126481,16024941,22142937,29480578,38043492,38043493,29481019,29481016,29480707,29480708,23312833,23312832,22653032,22653030,30026237,37909522,29340522,29340501,22008810,22008809,18861887,18861886,25462228,256644927,52527742,47957151,47831446,38044825,38044824,36785456,28288994,28288995,36785459,46671559,38043534,36785691,36785693,46671758,58046710,58046722,47301649,47301650,47956981,58692124,47301718,47301717,55451145,44602177,269196037,33838973,26019554,19344241,19344242,256684895,269539135,47162891,47162892 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11411895, s2 = 14920398, dlinesl.size( ) = 38 s1 = 12514192, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13160025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15245747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14279840, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14279840, s2 = 14373060, int(edited[s2]) = 0 s1 = 14279840, s2 = 14373060, d1 = 114, d2 = 159 Dl.O(d1) = 37954037,256721538 Dl.O(d2) = 68051285,55654597,49900059,49900058,49900060,61380648,51669621,51669622,63412826,61380638,61380639,61380649,258870869,74161161,70495419,258632739,257056683,31197289,23708574,17385283,12251073,8274043,8274044,12251075,17385287,23708579,31197299,31197296,31197295,39878582,35320859,27197414,20271014,20271015,20271010,20271011,27197409,27197415,35320861,44746575,35320812,27197380,20270990,14543923,10006553,6575930,254695913,14543918,10006555,6575931,6575932,10006556,14543927,20270995,256235079,20270992,14543924,14543925,255757931,256761799,55654579,269837785,39113833,39113834,35320818,27197384,27197385,35320820,256876211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14279840, s2 = 14373060, dlinesl.size( ) = 8 s1 = 8100631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13716569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11135743, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12305231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5176698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5176698, s2 = 15715016, int(edited[s2]) = 0 s1 = 5176698, s2 = 15715016, d1 = 29, d2 = 27 Dl.O(d1) = 215369547,211266080,211266079,215369545,215369546 Dl.O(d2) = 84434129,98343668,112326593,126187033,139562088,152291899,164174997,174991045,184592407,192977161,200170185,193194255,184848284,262211100,164519156,152674682,259968134 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5176698, s2 = 15715016, dlinesl.size( ) = 2 s1 = 5176698, s2 = 15715016, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 5176698, Dl.E( ) = 36, 1.22e-05 seconds used appending s1 = 12514512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504231, s2 = 10747711, int(edited[s2]) = 0 s1 = 11504231, s2 = 10747711, d1 = 128, d2 = 102 Dl.O(d1) = 215890140,211862267,206932806,200966204 Dl.O(d2) = 267385250,274963077,243313679,267167809,242347656,241977684,241977685,267133763,267199509,274937099,242347656,241977684,267086420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504231, s2 = 10747711, dlinesl.size( ) = 66 s1 = 11149539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149539, s2 = 5121735, int(edited[s2]) = 0 s1 = 11149539, s2 = 5121735, d1 = 0, d2 = 50 Dl.O(d1) = 59825781 Dl.O(d2) = 207137470,264769965,216021395,212026628,207137468,201209401,201209402,207137469,212026630,212625893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149539, s2 = 5121735, dlinesl.size( ) = 36 s1 = 11650317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11650317, s2 = 12725753, int(edited[s2]) = 0 s1 = 11650317, s2 = 12725753, d1 = 15, d2 = 18 Dl.O(d1) = 262222738 Dl.O(d2) = 269793171,85198873,260554681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11650317, s2 = 12725753, dlinesl.size( ) = 14 s1 = 14279890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15289503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12515064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16096040, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4360588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11445209, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11525003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525003, s2 = 11233560, int(edited[s2]) = 0 s1 = 11525003, s2 = 11233560, d1 = 52, d2 = 54 Dl.O(d1) = 265498678,221050259,223578364,221275448,218363108,218363107 Dl.O(d2) = 221275444,221275449,218363111,214897429,210685504,205529658,262538306,261509558,260347162,137365832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525003, s2 = 11233560, dlinesl.size( ) = 44 s1 = 14070943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12307603, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13671442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15246094, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11142301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142301, s2 = 15951953, int(edited[s2]) = 0 s1 = 11142301, s2 = 15951953, d1 = 20, d2 = 23 Dl.O(d1) = 255829582,28600831,21367588,21367589,28600833,37109518,46994752,37109516,37109517,258672727,71080985,84643358,98566066,259062868,126427826,257225434,101837343,256151430,74262468,255685510,39989342,39989343,38285544,29718926,29718927,38285545,48194755,59581144,72315730,85909105,99864583,91178782,79236013,79236014,74871663,64621536,256146742,25592781,254658870,13546315,18983323,25592779,255281227,255281225,12619385,255588729,31700455,24192474,24192475,31700456,40392890,50426454,61916621,74710134,77288011,91208085,105430197,119668182,133543001,143732607,130406993,116567494,102468785,88465332,74832131,62035636,50543863,50543862,62035635,74832129,88465329,102468784,103974222,103974223,118123854,131939279,145176854,153791801,141118572,127761259,113885894,99867025,85911399,72317925,258135279,48196827,38287748,29721335,22365135,16211402,11269151,7480732,4727634,2848393,1652625,1652624,2848391,4727601,2848373,2848374,4727602,7480686,11269088,255467981,256403713,38287660,48196745,258135267,257803967,42356583,33367753,25603202,18990857,13551589,9363546,9277141,6076731,3802144,2277393,2277390,2298905,3802141,2277393,2277390,2298905,3802141,2277393,2277390,2298905,3802125,2277387,2277386,3802122,6076724,9277127,13551470,17112371,12025431,12025432,17112373,23382931,30811515,257029149,258217517,73497862,87116521,101114465,115192429,129124211,123003585,108736232,94444194,80385394,258509115,43953122,256204809,14233266,13907177,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,6510224,4079572,2440922,2440917,4079560,254295420,14400402,20084715,26130090,26130089 Dl.O(d2) = 33065764,25336208,25336209,33065765,42009963,52349313,64199790,77347473,269339650,133602603,146859611,153676032,141010411,141010410,153676031,262233760,176133826,185595769,193853390,200932852,206905550,211839466,215869940,219203585,222017268,224433271,226531709,228360121,229965327,265996032,233695308,233695307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142301, s2 = 15951953, dlinesl.size( ) = 14 s1 = 11032043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14280122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11406359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406359, s2 = 11457076, int(edited[s2]) = 0 s1 = 11406359, s2 = 11457076, d1 = 11, d2 = 5 Dl.O(d1) = 178161094,187389650,195420968,263983238 Dl.O(d2) = 202288036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406359, s2 = 11457076, dlinesl.size( ) = 14 s1 = 12516612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12516612, s2 = 14365031, int(edited[s2]) = 0 s1 = 12516612, s2 = 14365031, d1 = 40, d2 = 31 Dl.O(d1) = 264719523,192991471 Dl.O(d2) = 18527788,13163917,8972694,5857389,254638353,13163913,18527780,256102189,32766433,25069877,25069878,32766405,25069846,24779975,18299249,12989123,12989122,18299247,24779972,32404012,41228316,51425537,63122406,63809119,63809116,63809115,71600819,58880549,58880548,71600818,81499549,68016384,257668364,55629562,48575283,48575282,59967120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12516612, s2 = 14365031, dlinesl.size( ) = 2 s1 = 12516612, s2 = 14365031, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12516612, Dl.E( ) = 42, 1.29e-05 seconds used appending s1 = 12309037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12309091, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11131095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11131095, s2 = 16341668, int(edited[s2]) = 0 s1 = 11131095, s2 = 16341668, d1 = 41, d2 = 56 Dl.O(d1) = 259035539 Dl.O(d2) = 271756574,272510411,269299056,255783478,254487533,4275441,2556165,1472336,254154828,1456434,2527113,254480297,10264872,255783209,36449120,46302114,257133019,32192094,24604043,18155871,18155870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11131095, s2 = 16341668, dlinesl.size( ) = 42 s1 = 11563181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049153, s2 = 13903966, int(edited[s2]) = 0 s1 = 11049153, s2 = 13903966, d1 = 67, d2 = 101 Dl.O(d1) = 259082455 Dl.O(d2) = 266636109,236327491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049153, s2 = 13903966, dlinesl.size( ) = 78 s1 = 13834068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14280174, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14280174, s2 = 6103974, int(edited[s2]) = 0 s1 = 14280174, s2 = 6103974, d1 = 57, d2 = 37 Dl.O(d1) = 260377196,162107153,149894890,262560981,263013507,191667940,199071652 Dl.O(d2) = 240862040,240862041,241316752,241316754,241738163,242128027,242128009,241738148,241316744,240862028,240370574,240370575,240862030,241316745,241738150,242128012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14280174, s2 = 6103974, dlinesl.size( ) = 2 s1 = 14280174, s2 = 6103974, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14280174, Dl.E( ) = 60, 1.62e-05 seconds used appending s1 = 11032895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032895, s2 = 11999268, int(edited[s2]) = 0 s1 = 11032895, s2 = 11999268, d1 = 26, d2 = 34 Dl.O(d1) = 21159173,256301639,21775460,21775461,28159622,23923571,256021933,40092870,50113345 Dl.O(d2) = 265434391,274477341,265898113,228744414,266027459,230309287,266027457,231701077,266146799,265898115,228744403,226967288,224929444,224929446,226967291,228744420,230309298,230309283,228744406,228744405,228744419,228744420,230309299,231701068,231701069,232951885,266256311,234083907,232951890,231701077,266146799,265898115,228744403,226967288,224929444,224929446,226967292,228744423,230309280,231701070,232951887,266357287 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032895, s2 = 11999268, dlinesl.size( ) = 12 s1 = 12565838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12310309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12310319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13826888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569621, s2 = 10560247, int(edited[s2]) = 0 s1 = 11569621, s2 = 10560247, d1 = 50, d2 = 64 Dl.O(d1) = 233482435 Dl.O(d2) = 186644186,194764269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569621, s2 = 10560247, dlinesl.size( ) = 12 s1 = 11467579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467579, s2 = 14146636, int(edited[s2]) = 0 s1 = 11467579, s2 = 14146636, d1 = 17, d2 = 14 Dl.O(d1) = 206853049,211793615,265560645,221986378,221986379,224406666,226508533 Dl.O(d2) = 266116005,229946953,265994125,274673738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467579, s2 = 14146636, dlinesl.size( ) = 14 s1 = 12517374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11649489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11367239, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11275205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275205, s2 = 6538737, int(edited[s2]) = 0 s1 = 11275205, s2 = 6538737, d1 = 88, d2 = 104 Dl.O(d1) = 260553635 Dl.O(d2) = 17376087,17376088,255726037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275205, s2 = 6538737, dlinesl.size( ) = 16 s1 = 7156154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7156154, s2 = 87336, int(edited[s2]) = 0 s1 = 7156154, s2 = 87336, d1 = 27, d2 = 82 Dl.O(d1) = 263334537,197235623,203796399 Dl.O(d2) = 12137861,12150502,12150501,12118018,12118017,12120668,12188299,12116051,8146762,8146760,7311766,4615087,2779046,2779044,4615064,5284578,5284560,5235564,3195721,3195724,3196915,3196916,3275211,3275214,5328216,3275126,1926407,1100694,1072720,1072722,1880344,3210495,2761335,2761336,4589744,5236840,8167120,8172343,5265371,5265373,8180713,5250282,3207726,1878575,1878577,3207738,5250301,7315285,8167760,8167759,12137432,8167392,5237055,5237056,8167397,8258098,12119993,12119995,11839860,11839861,8167692,5237257,254834061,255545567,23609606,23609605,31093114,23643215,17326548,17326547,12215814,268108615,12184226,255532554,3234939,1897679,1897682,3234949,5281581,5281580,7511359,4748173,2861507,1660722,1660721,2861503,4748165,5293110,3248820,1907312,1907311,3248817,5297952,8227042,8231560,7254380,5302876,3253673,1910934,1091266,1091267,1910937,3253681,254584947,254581377,3218848,3218847,5263676,3232223,1899637,1899638,3238021,254397099,254183429,1095877,1918493,3264234,3244358,1904153,1087040,610355,339521,186397,186395,339427,339431,610163,1086694,1903673,1889254,1889255,3219460,3219459,3219764,3219766,5264701,3238111,1899693,1895472,1895469,3231847,5278060,8207148,8193161,254836091,17283496,17329252,16234601,16234600,254834475,5242656,3201432,1874414,1874413,3201429,5242653,8173294,12143729,255545971,255161749,8223971,255160175,11032389,7328648,254348569,1618105,254348571,4627811,7305015,7831491,4971247,3002703,1743834,990899,557320,311614,311609,557303,990863,1743769,3002606,4971112,7831343,7319023,4620803,4620802,7319020,11044236,11044232,7319015,4620797,4620796,7319011,8181134,8196061,8182402,8182403,12151965,15924619,16231823,12119383,12119382,11311118,7509816,4746966,4746967,7509817,11311120,16268135,255475802,8153443,5224379,5224382,8153445,12121459,8302426,8302427,12292784,12138057,8168036,5237541,3197154,1871496,1067533,1067532,1871489,3197132,5237503,6021641,7311440,5328174,5328173,7493810,7086000,4461398,4461399,7086005,7311490,7311491,11037148,12166385,11721208,7823549,5319398,5249217,5249216,7817733,8233272,5305396,3255906,3255631,1912433,1092184,613155,613156,1092190,1912446,1092324,1092322,1912711,2680271,4461478,7086117,10725210,12190097,255545599,31053279,269777008,39815916,31133353,23645633,17328764,12203730,12203731,16764565,255510227,255475972,16764260,11716751,254357784,4960199,3220525,3220526,5265668,7493400,4736684,4736685,7493404,8292607,7489721,4733315,4733316,2853384,2853386,2853819,4735638,7492239,8179906,5276331,4735030,2911670,2911671,1975526,1975528,1773478,1010895,569772,350866,350865,631976,1092018,1912155,3255265,5304591,7491608,4735166,2853495,1911710,1911711,1974391,1127159,632067,632066,1127155,1974379,1741004,1740623,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093874,614152,614149,1093959,1900572,1915900,1609959,915963,915961,1609951,2775378,3242994,2774031,1609071,915487,516587,516584,915478,1609059,2774010,3223515,1895763,1895760,2772813,2772814,3200534,5241743,8172613,8174788,8174781,7305569,5259265,3214980,1883439,1883440,1075935,604401,604402,1075939,1885845,3217397,1885087,1075472,254181223,1898285,1898283,3235912,4619739,4619740,2781756,1613597,917856,917855,1613591,2781746,4619757,3226678,1891767,1891768,1858367,1060548,596303,596302,1060545,1858359,3174479,3174618,2788545,2788547,4629056,5281041,7321499,7307599,4611613,2776600,1610716,1610717,2776608,2766022,2766027,3202640,3229068,5256766,4971251,3002703,1743834,990899,557320,311614,311609,557303,990864,1072981,1072985,1880825,1908918,1908922,3250906,4624610,3357869,3357867,4620097,3213194,1882243,1882240,3213214,4623810,2784420,2784422,1898077,1083402,1083398,1898108,3235672,5282468,7304110,5245935,5245933,4611468,2776516,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4620536,7318724,5249269,5249270,7305629,7305628,7818611,4960724,4960727,4682774,4682776,4967842,7826672,5265080,5265081,7323779,5040244,3051456,1777629,1777630,2999615,2999614,4966388,7824757,11722191,8148878,8148879,12116900,12116899,12120714,17235877,15916409,11038223,7312694,7312695,8244497,8244498,8247165,5318882,3267728,3267729,5318886,8247168,12165951,11038204,7312681,7312682,7307162,4611249,2776406,2776405,4611244,4615905,4615906,7312667,11038178,11046761,12153416,12153418,17274214,22017949,15916419,11049567,7324898,4962999,4963000,7820869,5265561,3220432,1887250,1076764,1076762,1887192,1887190,3220329,5265419,8195395,8151264,5222523,3185901,1912346,1912345,3186049,1864481,1626979,925164,925162,1626972,2804582,267790685,1656740,2854753,4736840,7493568,11286768,255162285,254585249,3256380,3256377,5237338,3204369,3204372,5246059,5237590,5237588,3329248,1958015,1958016,2998795,4070647,2435812,2435813,3244773,3244774,3268234,2997918,1741128,1741125,2997907,4963682,4461499,4461498,7086156,8456604,5464128,3360040,3360039,5464124,5464116,5464115,8456593,12192690,12192689,16764565,255510227,255475972,16764260,11716751,254357784,4960199,3220525,3220526,5265668,7493400,4963635,4963634,7491298,4734849,4734850,5273125,4962886,254248101,1740744,2817207,4676316,5295065,5295064,8224648,12194294,12200376,12200377,12199385,8230104,5301504,5301505,8230106,7819272,7402592,4676563,2817369,1634470,1634469,2817363,3244077,2752303,1739669,1739668,1906554,1906557,1741009,1740625,989337,989335,1741029,1900939,1085084,609386,609385,1085074,1089611,942730,531693,298158,165119,90872,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,610242,339463,186363,186362,339426,339431,610163,1086694,1903673,1889266,1889267,3223149,3251566,3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297962,297959,531286,941928,608164,338435,338431,608131,1082786,1897068,3234135,5244502,3203153,1909919,1090683,1090682,1098308,1098311,1922526,1905039,1905043,3172696,3172697,3203768,1876040,1070233,1070232,615954,615950,1075718,1075723,1077642,1077640,1093875,614118,614115,1093908,1886348,1094203,1094206,1915844,3260529,5310481,5310308,5310309,4606023,2772125,1607756,914652,516170,336153,184779,184781,336165,603792,1074746,1883861,3215627,3235114,2626384,1516222,859656,859655,1516220,2626382,4384521,6978529,5262175,3217408,1885094,1075477,604175,604174,1075475,254263137,3226612,5272184,8175979,5245530,4754852,4754851,3263803,3217403,1885090,1885089,3217399,5262163,5313879,3263197,1917667,1095329,1095330,1917670,3263199,5313880,7820101,5302638,254584919,11047035,12166351,8201347,8201348,8209493,12177840,8235725,5307888,5307887,4620648,2782364,2782363,254233209,1609759,2775070,4609392,254759309,11042793,8165613,8165614,254580609,5255938,7315613,7307397,4611440,2776510,2776514,4608994,4608997,5300728,4622337,4622336,7291157,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1072679,1072683,1864011,1864007,2784270,1614977,1614978,1863962,3185097,5221320,5252731,3209757,3209760,4621476,2782908,2782903,4621486,4618604,2781073,2781077,2781055,1613232,917686,517679,290413,290411,254123011,1613223,2781031,4618535,7316340,11041823,12197837,8228556,8228555,8181223,254535546,254554517,8147657,5219617,3184026,254389101,5219896,8147984,12117051,17235476,23543745,255443173,254759781,7309216,8204804,8204803,12117653,8148685,8148686,11047789,12119353,11720620,7822754,7822755,11720621,10799783,7135741,5241521,3200383,3200382,5241519,8172334,12142963,11721208,7823549,5319398,5249217,5249216,7817733,8233272,5305396,3255906,3255631,1912433,1092184,613155,613156,1092190,1912446,1092324,1092322,1912711,2680274,3185965,5222614,5305687,5306052,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7156154, s2 = 87336, dlinesl.size( ) = 2 s1 = 7156154, s2 = 87336, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 7156154, Dl.E( ) = 84, 4.01e-05 seconds used appending s1 = 15139350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15139350, s2 = 11246546, int(edited[s2]) = 0 s1 = 15139350, s2 = 11246546, d1 = 18, d2 = 22 Dl.O(d1) = 264600816 Dl.O(d2) = 260209738,75986477,74488333,257142738,31514716,25265673,18694159,18694160,256112313,20241404,27152195,25555296,25555295,33317307,42297925,257799407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15139350, s2 = 11246546, dlinesl.size( ) = 26 s1 = 11507437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507437, s2 = 8739448, int(edited[s2]) = 0 s1 = 11507437, s2 = 8739448, d1 = 52, d2 = 48 Dl.O(d1) = 264061164,195502496,187486297 Dl.O(d2) = 264362082,216761192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507437, s2 = 8739448, dlinesl.size( ) = 46 s1 = 11172175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172175, s2 = 4540551, int(edited[s2]) = 0 s1 = 11172175, s2 = 4540551, d1 = 19, d2 = 11 Dl.O(d1) = 259255917 Dl.O(d2) = 180926926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172175, s2 = 4540551, dlinesl.size( ) = 20 s1 = 12311909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14284972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14284972, s2 = 10675219, int(edited[s2]) = 0 s1 = 14284972, s2 = 10675219, d1 = 131, d2 = 117 Dl.O(d1) = 265965087,232360219 Dl.O(d2) = 274080844,225978500,265348272,229515258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406911, s2 = 10358740, int(edited[s2]) = 0 s1 = 11406911, s2 = 10358740, d1 = 17, d2 = 18 Dl.O(d1) = 178342865,174446396,263068187,192550737 Dl.O(d2) = 216491844,212571185,207773993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406911, s2 = 10358740, dlinesl.size( ) = 12 s1 = 15140239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15246559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12313355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11568919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568919, s2 = 10343487, int(edited[s2]) = 0 s1 = 11568919, s2 = 10343487, d1 = 79, d2 = 87 Dl.O(d1) = 274580504,265109731,274493931,220811996,217779217 Dl.O(d2) = 25916776,268505285,268748763,25520455,18910836,14987107,267784642,254117869,467989,829381,1465750,2544196,4255817,6788440,5928087,3706737,2219930,1287860,1179407,662209,367136,200884,109443,60035,60031,109432,200853,254139861,269008341,260155391,261323293,272913205,274593808 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568919, s2 = 10343487, dlinesl.size( ) = 62 s1 = 11532277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11276175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10988287, s2 = 8856949, int(edited[s2]) = 0 s1 = 10988287, s2 = 8856949, d1 = 22, d2 = 28 Dl.O(d1) = 2542731,2542732,1470907,1470909,2553573,4271153,6767482,4241301,2535859,1461271,827157,466938,466939,827160,1461282,2535876,4241330,6767515,10294154,11528470,7669079,7669081,11528472,14945525,255359419,257386607,259866125 Dl.O(d2) = 264701825,265346019,274503861,227578661,265490176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10988287, s2 = 8856949, dlinesl.size( ) = 18 s1 = 8802671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15140882, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11240347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240347, s2 = 6654399, int(edited[s2]) = 0 s1 = 11240347, s2 = 6654399, d1 = 23, d2 = 30 Dl.O(d1) = 262154897 Dl.O(d2) = 256986478,11595509,268959976,38824129,257567585,72875859,86471488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240347, s2 = 6654399, dlinesl.size( ) = 24 s1 = 11492543, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492543, s2 = 11494018, int(edited[s2]) = 0 s1 = 11492543, s2 = 11494018, d1 = 36, d2 = 2 Dl.O(d1) = 211732040,206783479,200794239,200794240,206783481,264750771,274191045,264982487,215775829,211732027,206783473,200794236,263530981,185419714,263887825,206783475,274096463,200794243 Dl.O(d2) = 193697251,193697250,264493345,273861259,193697248,185419715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492543, s2 = 11494018, dlinesl.size( ) = 28 s1 = 14280506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15246725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15246725, s2 = 14343215, int(edited[s2]) = 0 s1 = 15246725, s2 = 14343215, d1 = 31, d2 = 22 Dl.O(d1) = 48426283,258151295,86145864,260018227,128034518,261743081,154076710,262342565,176501088,165845970,165845969 Dl.O(d2) = 264733516,219056872,215704657,211651842,211651841,262666418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15246725, s2 = 14343215, dlinesl.size( ) = 2 s1 = 15246725, s2 = 14343215, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15246725, Dl.E( ) = 32, 1.19e-05 seconds used appending s1 = 11467201, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12315301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12315301, s2 = 11487806, int(edited[s2]) = 0 s1 = 12315301, s2 = 11487806, d1 = 20, d2 = 30 Dl.O(d1) = 263738648,190117703,262497856,160030556,160030557,171266756,171266757,160030560,160030561,160030553,147766999,134636453,120839248,120839246,134636450,147766998,160030552,147767004,262000071,171266756,261469252,134636453,120839248,106590784,106590783,120839245,134636447,120839250,120839249,134636455,147767000,260903780,120839260 Dl.O(d2) = 204094872,209526918,204094876,204094875,209526921,213984026,217642946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12315301, s2 = 11487806, dlinesl.size( ) = 2 s1 = 12315301, s2 = 11487806, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12315301, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 12520168, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11502259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5496933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10701507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11397171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11397171, s2 = 11503566, int(edited[s2]) = 0 s1 = 11397171, s2 = 11503566, d1 = 5, d2 = 7 Dl.O(d1) = 263093891 Dl.O(d2) = 264725147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11397171, s2 = 11503566, dlinesl.size( ) = 14 s1 = 12520422, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15919672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11523805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12316319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7306678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12520666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8795633, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11507823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507823, s2 = 10609372, int(edited[s2]) = 0 s1 = 11507823, s2 = 10609372, d1 = 14, d2 = 0 Dl.O(d1) = 264593235,263667237 Dl.O(d2) = 157045062,144646426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507823, s2 = 10609372, dlinesl.size( ) = 18 s1 = 14280668, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12316806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12316806, s2 = 11443642, int(edited[s2]) = 0 s1 = 12316806, s2 = 11443642, d1 = 69, d2 = 11 Dl.O(d1) = 220347321,223002783,225291511,265462550 Dl.O(d2) = 208860706,203274804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12316806, s2 = 11443642, dlinesl.size( ) = 20 s1 = 11407941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407941, s2 = 9325665, int(edited[s2]) = 0 s1 = 11407941, s2 = 9325665, d1 = 29, d2 = 95 Dl.O(d1) = 262539124 Dl.O(d2) = 235158738,235158741,234135047,233010048,231766384,230382105,265442674,265053584,216752644,264579504,216743780,265257219,264828474,219974094,265764111,227054876,274569437,230382104,230382103,231766381,266616525,266616086,266687958,266538974,266361772,235158741,234135047,233010048,233010049,266033540,231766385,230382105,265442674,265442672,265257216,216743780,265257219,264828474,216752645,212865515,273896167,269887162,256551732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407941, s2 = 9325665, dlinesl.size( ) = 52 s1 = 16324994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14211108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14211108, s2 = 15033372, int(edited[s2]) = 0 s1 = 14211108, s2 = 15033372, d1 = 0, d2 = 23 Dl.O(d1) = 224257451,226372676 Dl.O(d2) = 235748375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211108, s2 = 15033372, dlinesl.size( ) = 42 s1 = 15760384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15760384, s2 = 11540752, int(edited[s2]) = 0 s1 = 15760384, s2 = 11540752, d1 = 4, d2 = 0 Dl.O(d1) = 34576430,43848247,54592838,66851795,80281566,94337722,108624796,122888957,272447941,136720658,136720657,262065447,263011335 Dl.O(d2) = 162076837,162076838,263011337,191646184,199052624,205317688,205317691,210504519,214742389,218230404,221161126,223670748,225845337,225845340,225845341,227741893,229405706,230883224,232207202,233402531,234488303,235476701,236378441,237202174,237953235,238636589,239262153,239262154,239837157,240368050,240859836,241314622,241736286,242126294,242487759,267146616,243430850,243703859,243956036,244190541,244408455,244611025,274987294,244977447,245144464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15760384, s2 = 11540752, dlinesl.size( ) = 2 s1 = 15760384, s2 = 11540752, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 15760384, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11372381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12318211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8830117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8830117, s2 = 8622810, int(edited[s2]) = 0 s1 = 8830117, s2 = 8622810, d1 = 23, d2 = 33 Dl.O(d1) = 263980866,274120384 Dl.O(d2) = 189969835,197612758,204120856,209551084,204120863,261844556,261844554,204120856,209551084,204120863,204120862,204120849,261844550,181106418,171001445,159686407,258893654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8830117, s2 = 8622810, dlinesl.size( ) = 18 s1 = 4813302, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12318499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8797585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8797585, s2 = 15072470, int(edited[s2]) = 0 s1 = 8797585, s2 = 15072470, d1 = 83, d2 = 115 Dl.O(d1) = 217445689,220523589 Dl.O(d2) = 147026792,147026793,261139618,147026792,147026793,133779535,119911574,105676779,91453898,258918472,64358787,52487885,52487884,64358785,77524419,91453848,77524454,71588739,58865721,47483572,255867072,15689477,10861354,10861353,15689474,21739426,29030409,36810220,28313611,21103290,15977748,11091692,7355977,7355976,9167032,9167031,13408242,18820753,25412385,18820889,13408274,254494256,18821441,13408682,13408681,18821437,21103343,17524273,12358608,8350200,7634064,267765064,16409688,11425613,7594944,4804216,2895519,2895520,4804220,7594954,11425638,16409734,22592822,22669223,28313531,28313532,21722950,21722949,22669262,18820717,13408163,13408162,18820716,18820620,13408107,9167273,6000021,6000022,9167276,13408644,18821386,15685509,13408327,9167078,9167077,13408317,13408425,9167134,9167133,7180527,4523403,4523402,7180509,7180511,10860789,15688671,21736153,15687134,10859793,7184041,4525913,4525912,7184034,10865677,15695940,21748197,29025443,21735500,21735502,29012550,21725281,21725278,21736192,15687179,15687180,21736194,23447753,23447756,21729603,21103390,15158807,10860667,10860666,15688414,21737833,15691343,15691340,10866600,7184509,4526147,4526148,7184515,10866615,15686327,10859275,10859278,15686338,21735042,29024891,29027778,21741800,15691281,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,23655681,17338844,17338841,23655564,23655561,31142637,39825086,31742910,31742909,37554002,29039309,21747023,15696564,15680925,10855927,10855928,10856039,7177370,7177368,10856076,15681203,17167628,17167631,21733966,15695550,15695549,21747614,21750328,21750325,24235373,29688124,22335586,16188031,11252414,11252417,16188046,22335522,25412133,25412135,18820995,13408353,13408351,10521165,10521168,15250737,21219701,28445777,33153552,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175465,21741928,21741929,29033406,37580704,47486060,47481907,37576009,29028817,29028816,29028790,21738149,15688588,10860742,7180477,4523388,2718888,2718889,4523394,7180500,10860773,15688632,21738245,29028934,37576148,37588247,29040678,29040676,37588238,40446069,50482447,42108398,42108397,47499001,37594872,37594875,37589359,29041772,21749152,21749149,29041767,255422546,58874197,61332239,58859511,58858109,257472398,29022900,21733608,21733609,256351383,47475163,58858112,70783331,70783330,256894534,39709846,31032856,23551668,23551669,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,29027034,37573779,47059763,47059762,50472019,50289782,50289781,58863967,58852329,47468156,47468155,52461146,59482758,48093258,48093257,255857356,58857620,47474555,47474554,58857618,71581998,61970762,50477430,40440577,31746086,31746084,40440573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8797585, s2 = 15072470, dlinesl.size( ) = 2 s1 = 8797585, s2 = 15072470, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 8797585, Dl.E( ) = 116, 3.29e-05 seconds used appending s1 = 14099661, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8820105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8820105, s2 = 13897951, int(edited[s2]) = 0 s1 = 8820105, s2 = 13897951, d1 = 0, d2 = 45 Dl.O(d1) = 221671497 Dl.O(d2) = 235684740,266316463,233647702,234713104,266412717,233647701,232476823,231181949,229738260,228111331,228111330,229738258,229738267,228111336,228111335,229738266,231181952,232476827,233647708,232476830,274628229,233647710,233647709,232476831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8820105, s2 = 13897951, dlinesl.size( ) = 40 s1 = 12319271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12319271, s2 = 10418593, int(edited[s2]) = 0 s1 = 12319271, s2 = 10418593, d1 = 23, d2 = 27 Dl.O(d1) = 265692668 Dl.O(d2) = 274308212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12319271, s2 = 10418593, dlinesl.size( ) = 34 s1 = 11490055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11490055, s2 = 11035856, int(edited[s2]) = 0 s1 = 11490055, s2 = 11035856, d1 = 48, d2 = 1 Dl.O(d1) = 266392349,232201327,230876901 Dl.O(d2) = 34309553,26431601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11490055, s2 = 11035856, dlinesl.size( ) = 20 s1 = 16345612, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12522354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12319971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14280880, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15768711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15768711, s2 = 7354035, int(edited[s2]) = 0 s1 = 15768711, s2 = 7354035, d1 = 3, d2 = 73 Dl.O(d1) = 13136755,9441223,8953252 Dl.O(d2) = 266452865,236923623,266687099,236923630,236074562,235141057,234114761,232986816,274582440,265439641,219924224,216696657,212802465,264824605,219924227,274363195,227018320,265902487,265761685,227018314,228791101,230352718,266031529,265761683,265761681,265761677,224986348,222647660,219924206,264824599,273893625,195389672,187353069,178120245,262361223,143518337,261510832,88256142,74625468,61833082,50349012,40322519,36651205,28175514,24127057,17764162,17764163,24127058,31633646,36651211,46518244,46438141,36573302,28308427,256297115,34974037,44351476,53266861,61833083,61833084,74625470,78546936,70493923,57793307,57793306,46438127,36573293,36573292,46438125,57793309,55201935,53131343,51314692,51314693,53131341,65116745,74372221,61595992,50116318,41685350,41685351,51996655,51996654,46438107,257397409,257170946,51996685,51996651,41685328,32769050,32769049,41685326,51996648,63811847,58388212,58388211,63811929,61595989,61595990,51418050,41221458 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14211814, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11171205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11171205, s2 = 7150622, int(edited[s2]) = 0 s1 = 11171205, s2 = 7150622, d1 = 34, d2 = 16 Dl.O(d1) = 268328618,96736215,257282518,80219612,80219613,260372997,136690659,262064453 Dl.O(d2) = 263248721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11171205, s2 = 7150622, dlinesl.size( ) = 14 s1 = 11393731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393731, s2 = 11529362, int(edited[s2]) = 0 s1 = 11393731, s2 = 11529362, d1 = 16, d2 = 2 Dl.O(d1) = 263027549,191908719 Dl.O(d2) = 191908719,199277508,205512365,210670136,274254172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393731, s2 = 11529362, dlinesl.size( ) = 12 s1 = 12320533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12321313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12321313, s2 = 11337964, int(edited[s2]) = 0 s1 = 12321313, s2 = 11337964, d1 = 7, d2 = 1 Dl.O(d1) = 213039968 Dl.O(d2) = 157022336,144625845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12321313, s2 = 11337964, dlinesl.size( ) = 2 s1 = 12321313, s2 = 11337964, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12321313, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 11541281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541281, s2 = 11535044, int(edited[s2]) = 0 s1 = 11541281, s2 = 11535044, d1 = 3, d2 = 0 Dl.O(d1) = 226752967 Dl.O(d2) = 222303318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541281, s2 = 11535044, dlinesl.size( ) = 10 s1 = 15017991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12523714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12523754, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12523754, s2 = 8858491, int(edited[s2]) = 0 s1 = 12523754, s2 = 8858491, d1 = 12, d2 = 11 Dl.O(d1) = 266301508,234557008 Dl.O(d2) = 227841559,265514201,264926859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12523754, s2 = 8858491, dlinesl.size( ) = 2 s1 = 12523754, s2 = 8858491, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12523754, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 12321825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12321825, s2 = 14340477, int(edited[s2]) = 0 s1 = 12321825, s2 = 14340477, d1 = 13, d2 = 22 Dl.O(d1) = 232299356,230982262,229512738,227858360 Dl.O(d2) = 265515957,227858355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12321825, s2 = 14340477, dlinesl.size( ) = 16 s1 = 11415765, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13999107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15767528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15270852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15270852, s2 = 14922058, int(edited[s2]) = 0 s1 = 15270852, s2 = 14922058, d1 = 67, d2 = 0 Dl.O(d1) = 214561203,263611274,182521711,191208766,198687413,205022760,210271854,264552514,265031006,263960612,210271822,263960610,218087125,221044205,265236412,274419942,227676469,225765296,223573481,221044262,221044263,223573484,223573486 Dl.O(d2) = 99854464,85899849,72307037,59573054,256944947,268944799,29711482,22356305,16204630,254776069,5499454,3389071,3389070,5499451,8498045,12536370,17720031,22356764,23290001,23290000,29712284,22356924,16205084,11265016,11265015,16205081,22356921,29712276,30422658,30422657,39012036,39375398,30774249,30774250,38278729,46898473,37020372,28522419,255455649,11162702,7404267,7404268,11162704,16075228,22205216,29507094,29507095,30878925,28522035,28522033,22205059,16075134,16075133,22205040,29548591,37020433,28522475,22356244,16204608,16204607,22356238,29711340,38277653,47982684,38070674,29507072,22166812,16044047,11140209,11140210,16044029,11140204,11140202,16043938,11140156,11140155,16043934,22166616,29506814,38070442,39137810,39137811,47982745,47982730,38070534,38070535,29548772,29548711,22205132,16075171,11162677,7404253,7404254,11162680,16075141,11162659,7404246,4677591,4677592,7404248,11162664,16075146,22205076,29548634,255455657,11162729,11162728,255455655,22205255,22205256,29548894,22205584,16075558,16075559,22205404,16075393,16075394,22205405,29549017,38111899,48021498,38111797,29549023,22205413,16075397,16075396,22205410,29549020,29548931,29548930,38111375,38111836,48021522,46898463,37020350,28522400,28522401,29506912,22166686,22166685,29506910,22205269,16075281,11162732,7404281,7404282,11162735,16075287,16075245,11162714,11162715,16075248,22205238,16075432,16075421,11162834,11162835,16075423,16074823,16074824,16075081,11162633,11162632,16075077,11162815,7404318,4677625,4677626,7404321,11162821,16075402,22205417,29548316,38111379,29548283,29548282,29548934,29548936,38111841,38111255,29548250,22205287,22205288,29548622,29549117,22205493,22205492,29548119,28512230,28512231,29548951,22205316,16075320,11162759,11162761,16075324,16075520,16075441,11162852,7404337,4677635,2817992,2817993,4677640,7404350,11162870,16075069,16074856,11162499,7404162,7404163,11162504,16074869,11162810,11162812,16075384,16075083,16075084,16075032,11162890,11162889,16075503,22205523,29335877,29335876,29548025,29548251,22204684,16074794,16074795,22204689,16075346,16074800,11162471,11162475,16074810,11162969,11162968,15903939,15903938,21213988,16074789,16074788,22204673,16075337,15903926,11025503,7299744,4604339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15270852, s2 = 14922058, dlinesl.size( ) = 14 s1 = 11036385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036385, s2 = 10266382, int(edited[s2]) = 0 s1 = 11036385, s2 = 10266382, d1 = 18, d2 = 32 Dl.O(d1) = 256922691,257853864,256699878,18183916,16135771,254771665,268635169,59496912,273350489 Dl.O(d2) = 265077270,214165068,264030920,197894663,197894664,273774818,196563537,190313842,181534204,181534205,190313845,263690458,203232606,203232608,208826398,213425324,217191855,220326270,217794883,214165069,209744940,264334977,196563529,188777812,179798951,179798952,181534210,171533809,160329734,260828444,134962031,148085340,160329733,171533808,181534208,190313847,197894660,204355371,197894673,190313859,181534218,171533815,160329737,160329736,171533813,181534215,190313853,197894666,204355374,197894663,197894664,273774818,196563537,190313842,181534204,181534205,190313845,263690458,203232606,203232608,208826398,213425324,217191855,220326270,264854454,204355370,204355371,197894673,190313859,181534218,263314424,179798950,169601835,169601834,262434696,262897194,171533811,262897192,190313839,181534203,171533806,160329729,148085338,260232242,106883979,106883980,261479963,160329736,171533812,181534213,190313850,197894664,273774818,196563537,190313842,181534204,261933962,148085340,160329733,171533808,181534208,190313847,197894660,204355371,197894673,190313859,181534218,263314424,179798950,171533807,171533808,262897190,197894659,197894666,204355374,197894663,197894664,273774818,196563537,190313842,181534204,181534205,190313845,263690458,203232606,203232608,208826398,213425324,217191855,220326270,217794883,214165069,209744940,204355380,197894668,190313855,190313854,263690460,190313851,190313850,197894664,273774818,196563537,190313842,181534204,181534205,190313845,263690458,203232606,203232608,208826398,213425324,217191855,220326270,217794883,214165069,209744940,264334977,196563529,188777812,179798951,179798952,181534210,171533809,171533810,262897192,190313839,181534203,171533806,160329729,148085338,260232242,106883979,258361902,44822102,44822101,255236196,24656559,18198052,12907716,8780501,8780502,12907718,18198056,254901682,254790933,7646970,11496775,15480097,10704764,10704763,255839051,15010101,254710767,2552497,1470366,1470367,2552499,3712519,2570142,2570141,4298806,6850380,7670138,4853077,4853078,7670140,5380815,3308807,1946572,1946571,3308802,5380808,6850329,6790109,4257017,4257018,6790110,10320746,14116937,9712212,9712211,14116936,15034249,12088700,12088698,17191765,14498720,10281415,6865795,6865796,256829445,57978593,70696492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036385, s2 = 10266382, dlinesl.size( ) = 30 s1 = 11594875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594875, s2 = 6859876, int(edited[s2]) = 0 s1 = 11594875, s2 = 6859876, d1 = 32, d2 = 41 Dl.O(d1) = 266511188 Dl.O(d2) = 57651927,59242159,259357849 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594875, s2 = 6859876, dlinesl.size( ) = 14 s1 = 14281108, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281108, s2 = 11518842, int(edited[s2]) = 0 s1 = 14281108, s2 = 11518842, d1 = 22, d2 = 39 Dl.O(d1) = 262805749,187004503 Dl.O(d2) = 236020622,274535980,265639840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14281108, s2 = 11518842, dlinesl.size( ) = 8 s1 = 11458143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458143, s2 = 11549586, int(edited[s2]) = 0 s1 = 11458143, s2 = 11549586, d1 = 8, d2 = 11 Dl.O(d1) = 274044368 Dl.O(d2) = 274515491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458143, s2 = 11549586, dlinesl.size( ) = 14 s1 = 14282693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14212816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281144, s2 = 12429243, int(edited[s2]) = 0 s1 = 14281144, s2 = 12429243, d1 = 59, d2 = 16 Dl.O(d1) = 264422077 Dl.O(d2) = 60771609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14281144, s2 = 12429243, dlinesl.size( ) = 32 s1 = 12525128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11598931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12325649, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11572399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281291, s2 = 11584287, int(edited[s2]) = 0 s1 = 14281291, s2 = 11584287, d1 = 11, d2 = 33 Dl.O(d1) = 264194638,229833298,231270488,231270490,231270489,265183550,234783379,265707570 Dl.O(d2) = 266220548,238153172,237426901,236626706,274405650,265707566,235748665,274405652,234783382,234783381,265549728 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14281291, s2 = 11584287, dlinesl.size( ) = 2 s1 = 14281291, s2 = 11584287, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14281291, Dl.E( ) = 34, 1.38e-05 seconds used appending s1 = 10275270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10275270, s2 = 5764611, int(edited[s2]) = 0 s1 = 10275270, s2 = 5764611, d1 = 16, d2 = 9 Dl.O(d1) = 200625012,193495810,264742081,265551229,228247800 Dl.O(d2) = 233742993,234799515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10275270, s2 = 5764611, dlinesl.size( ) = 2 s1 = 10275270, s2 = 5764611, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 10275270, Dl.E( ) = 22, 1.19e-05 seconds used appending s1 = 12326231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12326231, s2 = 10996322, int(edited[s2]) = 0 s1 = 12326231, s2 = 10996322, d1 = 11, d2 = 12 Dl.O(d1) = 207619053,201774010,194830685,263254282,166854053,155161344,142517096,261308984,101130180,101130179 Dl.O(d2) = 115208083,101130182,87131935,73513146,60764012,49360735,49360734,60764010,72003554,72003553,85590412,86933240,86933236,86933239,100914785,111717958,98543951,84619562,84619563,98543953,99537578,94416767,94416768,87630537,87630535,77293091,77293092,91213412,88168375,88168374,88168310,74553244,61769660,61769661,72495628,72495629,74708787,61915015,61915016,61914970,61914971,61914960,50424498,40390451,40390450,50424496,60632841,49231846,49231847,60632843,73379012,86994408,88337037,88337036,86689817,73085889,73085890,85019679,85019677,74708790,61915018,61915017,74708789,74708798,61915026,61915025,61914980,61914981,61915021,61915020,50424541,50424540,52291851,52291853,64144020,74708802,61915028,61915027,59504983,59504984,61396302,58715989,58715988,61915009,50424524,40390468,31697744,24189895,24189896,31697748,40390475,49915937,61396143,72246511,59512056,49916093,39896315,39896314,49916092,61396280,74176697,74176737,61396353,49916171,49916170,61396351,74176734,87781353,77293097,64144048,52291874,41951082,33008802,33008803,39896348,39896347,49916134,61396327,64144017,268503072,41951068,52291849,49915934,39896178,39896177,49915931,61396137,74176599,74176707,61396298,49916128,49916129,61396261,49916071,49916072,48124544,48124543,49916075,49916076,39896391,257058133,31219588,31219589,39896281,39896282,39896288,39896414,31219618,31219623,39896424,49916204,61396234,61396270,49916080,39896388,256492886,61396358,74176576,61396107,61396109,61396098,49915888,39896135,39896137,49915892,61396100,61396197,49916008,39896237,39896238,49916011,49916184,49916182,49915900,39896146,39896144,49915896,49915961,257640663,61396194,58008495,46633851,36746728,36746729,46633854,58008501,70723801,61396316,49916120,49916117,46772278,46772277,58140199,70854609,76267951,90079780,104211636,105872583,91664284,77736418,64554060,64554061,77736423,91664290,259281706,125968405,126517006,271184348,84727465,84727466,98657149,112304565,259901038,120085663,105872617,99100210,85178764,71614328,58894603,58894602,71614326,85178759,99100208,113087167,112304592,98321757,84412225,70854622,58140209,46772282,36894022,36894021,46772279,58140202,70854611,77736433,91664295,105872591,260157164,81147362,81147360,91664251,81147383,67681362,258412539,268748913,33288270,42268449,52654401,64554030,77736380,77736354,64554013,64554012,52654464,42268487,33288288,25527881,18918234,18918232,25527877,33288281,257205833,64554094,62213343,50693462,40634254,31918556,31918558,40634257,50693464,62213348,52654470,52654469,64554117,77736430,66938364,54682090,43939476,43939477,54682092,66938368,64554159,64554124,52654473,42268496,33288292,25527887,25527888,33288294,42268500,52654476,64554127,77736496,66938357,54682085,54682087,64554175,77736543,77736553,64554189,64554186,72456303,72456302,72456306,61876969,61876970,74668842,88294008,100017934,86054755,72456276,59720284,48335348,48335347,256918068,86054754,100017916,107065911,95527065,95527064,86054742,72456263,72456264,86054744,100017924,114045213,127926329,140001212,126646405,112788445,107065919,92728276,92728277,99890454,113908879,257729860,92728284,107065926,121361274,135211184,131696350,131696341,131696340,131850044,131874453,118050124,103908523,89807447,76030682,76030684,89598343,75816251,62852964,62852962,75816249,70749150,58034904,46662173,36776851,28280826,28280828,36776853,46662175,53098290,65084087,78366055,72826777,60089412,48693245,38771301,38771300,48693244,268482530,22798252,16581382,11561614,11561615,7732342,5966745,3731187,2233824,1713896,1713895,2955750,4903905,7688959,4865605,4865604,7688953,7695395,7695396,11418181,9851915,7133320,4491066,2698255,2698257,4491071,4491050,2698248,2698246,4491048,4900060,2953210,2953209,4900057,7739073,7592387,4802625,4802626,5966535,3731057,3731055,5966532,7584300,7604780,4811075,4811076,7604782,7742144,11623864,11125220,7379139,4661861,4661862,7379145,11125225,16023117,11629920,7747691,7587197,4799043,2892647,1678828,1678829,957090,957092,1683143,2901238,4814176,4808600,2898041,2897940,2897939,4808405,7600873,11432602,7694273,254795279,254485529,2555063,1471770,832470,469449,263969,263970,469468,832503,1471840,2555207,1678580,954961,538453,538454,954964,1678590,2892182,4798218,4899821,4899823,2957070,2957069,4906186,4804405,4804402,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548095,973489,1713145,2954315,4901762,7741316,11452771,11452635,11452632,14596064,10043409,10043411,14596073,14505164,9981076,7851337,4983693,3010402,3010404,4983754,7851792,11760029,16817209,16655461,11622995,11622996,16655463 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12326231, s2 = 10996322, dlinesl.size( ) = 8 s1 = 14281316, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11525583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12326479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12526672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12526912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15149020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15149020, s2 = 11362630, int(edited[s2]) = 0 s1 = 15149020, s2 = 11362630, d1 = 6, d2 = 13 Dl.O(d1) = 266203376 Dl.O(d2) = 258629894,11514736,11514723,11514722,14940269,10275443,6752814,4231421,4231422,6752818,10275452,14940288,20839655,16134142,11207802,7436612,7436613,11207808,9079946,9079945,9079970,13298235,12643630,8584829,5578367,5578368,8584834,12643639,12210093,8241020,8241018,12210088,255003876,260029763,904565,904564,1591096,254343553,4467342,268933534,256877261,258541558,25554760,33316752,31857794,257692375,49316717,39388966,39388967,49316719,261253101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15149020, s2 = 11362630, dlinesl.size( ) = 14 s1 = 11592211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592211, s2 = 11575962, int(edited[s2]) = 0 s1 = 11592211, s2 = 11575962, d1 = 11, d2 = 5 Dl.O(d1) = 274664944,232630836,232630835,233786800 Dl.O(d2) = 235797263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592211, s2 = 11575962, dlinesl.size( ) = 12 s1 = 11605009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489837, s2 = 11578246, int(edited[s2]) = 0 s1 = 11489837, s2 = 11578246, d1 = 7, d2 = 13 Dl.O(d1) = 274331105,274502715 Dl.O(d2) = 266085411,233517827,266402173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489837, s2 = 11578246, dlinesl.size( ) = 14 s1 = 11580873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16328416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281504, s2 = 15730737, int(edited[s2]) = 0 s1 = 14281504, s2 = 15730737, d1 = 48, d2 = 37 Dl.O(d1) = 274204600,265417410,264796006,212304628,216263731,219545639,265414195,265740813,228567714 Dl.O(d2) = 22875954,16647662,16222679,16222677,17777363,15610956,10800662,7136449,4492982,2699365,1563757,1563755,2699353,4492966,7136412,10390434,10390436,15066673,15611117,21643225,21930769,29251578,37816847,47739208,59137833,71875996,85460665,99401443,113402275,127260482,260318536,120076925,105864344,91656427,77728846,64546647,52647432,42574947,42574948,53015199,64990257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14281504, s2 = 15730737, dlinesl.size( ) = 2 s1 = 14281504, s2 = 15730737, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14281504, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 11583229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583229, s2 = 11602942, int(edited[s2]) = 0 s1 = 11583229, s2 = 11602942, d1 = 20, d2 = 9 Dl.O(d1) = 266641219,238644551,239269427,239269425 Dl.O(d2) = 239843900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11583229, s2 = 11602942, dlinesl.size( ) = 2 s1 = 11583229, s2 = 11602942, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11583229, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 11596059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596059, s2 = 7794072, int(edited[s2]) = 0 s1 = 11596059, s2 = 7794072, d1 = 25, d2 = 36 Dl.O(d1) = 239514288,266912585,239514290,266797766,237546761 Dl.O(d2) = 244055518,244055519,244055531,243810315,243810316,244055536,243810332,243810334,244055555,244283366,244494871,244283372,244055563,244055562,244283367,244494864,244494865,244494854,244283341,244055525,243810310,267250140,242957980,242632110,242632111,242957983,243262087,243546376,243810320,244055540,244283351,244494851,244283339,244283332,244055518,244055519,244055531,243810315,243810316,244055536,243810332,243810334,244055555,244283366,244494871,244283372,244055563,244055562,244283367,244494864,244494865,244494854,244283341,244055525,243810310,267250140,242957980,242632110,242632111,242957983,243262087,243546376,243810320,244055540,244283351,244494851,244283339,244283332,244055518,244055519,244055531,244055530,244283342,244494855,244283358,244055548,243810327,243546380,243262090,242957986,242632113,242282566,267127321,242957988,243262093,243546382,243810330,244055542,244055545,244283355,244494856,244494862,244494861,267346022,244283337,244494848,244692390,244876725,245050639,245213565,275011227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596059, s2 = 7794072, dlinesl.size( ) = 14 s1 = 12329117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281592, s2 = 5651991, int(edited[s2]) = 0 s1 = 14281592, s2 = 5651991, d1 = 57, d2 = 4 Dl.O(d1) = 225537444,227491097,265933963,265933961,266176927,266631865 Dl.O(d2) = 230782778,229282000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574289, s2 = 14136122, int(edited[s2]) = 0 s1 = 11574289, s2 = 14136122, d1 = 0, d2 = 0 Dl.O(d1) = 266563947,237197615,236373218,266418454,234483369,234483368,266219290,230877594,229399313,265705926,265373444,205289803,264408825 Dl.O(d2) = 266563947,237197615,236373218,266418454,234483369,234483368,266219290,230877594,229399313,265705926,265373444,205289803,264408825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574289, s2 = 14136122, dlinesl.size( ) = 2 s1 = 11574289, s2 = 14136122, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11574289, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 14150260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12330769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15254962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15254962, s2 = 1383060, int(edited[s2]) = 0 s1 = 15254962, s2 = 1383060, d1 = 116, d2 = 130 Dl.O(d1) = 266990445,266892877,274808633,235541156,234557011,234557012,274742393,236794044,236431680,235534889,234550164,234550165 Dl.O(d2) = 67739503,67739502,81204040,271171775,81204045,67739504,55400507,44553929,35176423,259660360,457392,257855,257857,457386,807209,254215523 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14214788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11562081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562081, s2 = 11596804, int(edited[s2]) = 0 s1 = 11562081, s2 = 11596804, d1 = 24, d2 = 11 Dl.O(d1) = 266362735,236094181,236941534 Dl.O(d2) = 239054887,239054886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562081, s2 = 11596804, dlinesl.size( ) = 22 s1 = 12331273, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11566443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11566443, s2 = 5738441, int(edited[s2]) = 0 s1 = 11566443, s2 = 5738441, d1 = 40, d2 = 0 Dl.O(d1) = 266123240 Dl.O(d2) = 233048491 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11566443, s2 = 5738441, dlinesl.size( ) = 42 s1 = 16369167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040299, s2 = 11575640, int(edited[s2]) = 0 s1 = 11040299, s2 = 11575640, d1 = 37, d2 = 46 Dl.O(d1) = 256474669,49208278,49338303,272245361,274417488,274638032,266442159,266678821 Dl.O(d2) = 239576987,239576988,239576986,274798769,238340593,238984689,238984692,238340595,237633042,237633041,238340593,238984689,238984692,238340595,237633042,266658792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040299, s2 = 11575640, dlinesl.size( ) = 14 s1 = 11539527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11539527, s2 = 7421012, int(edited[s2]) = 0 s1 = 11539527, s2 = 7421012, d1 = 27, d2 = 11 Dl.O(d1) = 265852331,231276389,266323295,235751560,236629218,266660379 Dl.O(d2) = 266481687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11539527, s2 = 7421012, dlinesl.size( ) = 20 s1 = 11568095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568095, s2 = 11593528, int(edited[s2]) = 0 s1 = 11568095, s2 = 11593528, d1 = 41, d2 = 33 Dl.O(d1) = 274782409 Dl.O(d2) = 266485863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568095, s2 = 11593528, dlinesl.size( ) = 30 s1 = 11580511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11594405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594405, s2 = 15262232, int(edited[s2]) = 0 s1 = 11594405, s2 = 15262232, d1 = 94, d2 = 99 Dl.O(d1) = 274841908 Dl.O(d2) = 30887962,25054367,256101249,41655430,39212323,30615771,23195251,23195250,25054364,32745219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594405, s2 = 15262232, dlinesl.size( ) = 14 s1 = 11565317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565317, s2 = 7331948, int(edited[s2]) = 0 s1 = 11565317, s2 = 7331948, d1 = 1, d2 = 57 Dl.O(d1) = 233703849 Dl.O(d2) = 266597942,266519222,266337836,274656666,231464597,230048453,265823644,265515688,219361988,216056349,212066238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565317, s2 = 7331948, dlinesl.size( ) = 12 s1 = 12333283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12333283, s2 = 11545942, int(edited[s2]) = 0 s1 = 12333283, s2 = 11545942, d1 = 17, d2 = 12 Dl.O(d1) = 267295003,243732483,267214199,267183343,242528056,242170264,241784281,241365914,266946035,240426042,240914111,240914112,241365892,241784248,242170223,274922545,242528101,242170307,241784334,241784333,267115705,267077757,266946037,240426045,240914116,266994200,241091945,240620132,240111186,239562189,266650700,266406226,266348327 Dl.O(d2) = 233987777,232849685,231592537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12333283, s2 = 11545942, dlinesl.size( ) = 14 s1 = 11627363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627363, s2 = 7472320, int(edited[s2]) = 0 s1 = 11627363, s2 = 7472320, d1 = 21, d2 = 16 Dl.O(d1) = 267406339 Dl.O(d2) = 266990450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627363, s2 = 7472320, dlinesl.size( ) = 24 s1 = 12333681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12530578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597513, s2 = 9740987, int(edited[s2]) = 0 s1 = 11597513, s2 = 9740987, d1 = 29, d2 = 35 Dl.O(d1) = 267108645 Dl.O(d2) = 240298645,274823480,266702478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597513, s2 = 9740987, dlinesl.size( ) = 30 s1 = 12530966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7476814, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7476814, s2 = 11558874, int(edited[s2]) = 0 s1 = 7476814, s2 = 11558874, d1 = 22, d2 = 1 Dl.O(d1) = 267034169,242147503,242507510,242842463 Dl.O(d2) = 232307161,233495429,266197765,230991350,274625350,274394003,221343718,265339737,221343718,264930817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7476814, s2 = 11558874, dlinesl.size( ) = 30 s1 = 11620413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11559585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15248585, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13993479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14281850, s2 = 7780297, int(edited[s2]) = 0 s1 = 14281850, s2 = 7780297, d1 = 29, d2 = 13 Dl.O(d1) = 15014673,10343310,6809565,6809566,10343314,15014697,19339643,19339642,26014005,33832095,26110946,256097574,6253552,3914799,3914802,6253376,3914753,3914751,6253405,9532789,13335234,13335235,268292691,256631391,257775585,271026691,271981745,261961719,170546123,264049173,274040929,265288971,265636445,229113393,274614073,274709847,239729639,240268577,240768653,274908273,267174065,267234501,243265499,242961800,242961799,243265498,243549589,243813478,274944730 Dl.O(d2) = 267050908,274833620,266740794,266601016,274668996,266129474,231509551,265407348,226697713,264782258,273559526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14281850, s2 = 7780297, dlinesl.size( ) = 18 s1 = 11623701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623701, s2 = 11615612, int(edited[s2]) = 0 s1 = 11623701, s2 = 11615612, d1 = 16, d2 = 2 Dl.O(d1) = 244102493,244102492,244328204 Dl.O(d2) = 243016076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623701, s2 = 11615612, dlinesl.size( ) = 2 s1 = 11623701, s2 = 11615612, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11623701, Dl.E( ) = 28, 1.22e-05 seconds used appending s1 = 11621877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15153448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11608585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608585, s2 = 14302995, int(edited[s2]) = 0 s1 = 11608585, s2 = 14302995, d1 = 164, d2 = 239 Dl.O(d1) = 267072901 Dl.O(d2) = 1282864,1282860,1282635,1282631,1285006,1285002,2214210,3697471,5914441,7801982,7802061,8890215,5799107,5799105,8890210,13050587,18376127,24873561,24873562,32515563,41362484,51583896,257126340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608585, s2 = 14302995, dlinesl.size( ) = 46 s1 = 15834557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14281903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12017707, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11627337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627337, s2 = 11628694, int(edited[s2]) = 0 s1 = 11627337, s2 = 11628694, d1 = 11, d2 = 9 Dl.O(d1) = 244922516,267337244,244337264,267352809,244922509,267409931 Dl.O(d2) = 245093013,245252563,245402336,245543675,267473003,267499379,245944893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627337, s2 = 11628694, dlinesl.size( ) = 12 s1 = 11597369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597369, s2 = 15141959, int(edited[s2]) = 0 s1 = 11597369, s2 = 15141959, d1 = 79, d2 = 76 Dl.O(d1) = 239174079,266933543,266882360,266933545,267142025 Dl.O(d2) = 205491076,264126371,263431605,183313530,173512326,162473752,262081387,137297926,123566100,109375072,95121425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597369, s2 = 15141959, dlinesl.size( ) = 20 s1 = 11600695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15046196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12336231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15154412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15154412, s2 = 16333266, int(edited[s2]) = 0 s1 = 15154412, s2 = 16333266, d1 = 21, d2 = 24 Dl.O(d1) = 267465749,245859308,245971471 Dl.O(d2) = 246076827,246176445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15154412, s2 = 16333266, dlinesl.size( ) = 34 s1 = 12336463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12337173, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12337173, s2 = 11631100, int(edited[s2]) = 0 s1 = 12337173, s2 = 11631100, d1 = 13, d2 = 8 Dl.O(d1) = 246318229,246226834,267499654,246027853,246027855,246027854,246129680,246226832,246129682 Dl.O(d2) = 245803481,245803480,267487098,246027857,245919283,245803481,245680363,245548432,245407691,245258415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12337173, s2 = 11631100, dlinesl.size( ) = 2 s1 = 12337173, s2 = 11631100, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12337173, Dl.E( ) = 14, 6.2e-06 seconds used appending s1 = 12337319, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12337319, s2 = 7538157, int(edited[s2]) = 0 s1 = 12337319, s2 = 7538157, d1 = 3, d2 = 9 Dl.O(d1) = 267525307,246340888,246426000,246426001,246506571,246506573,246506572,267570643,246655282,267585297,246849289,246908924,246965902,247019313,247019314,247069027,247069029,247019315,247019313,247019314,247069027,247114198,247114197,247069026 Dl.O(d2) = 247069025,267631043,267642605,247323229,247350446,275076825,247446598,267658134,267655286,275074094,267642486,247188754,267635020,247110530,247064927,247014569,267604540,246780621,275048008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12337319, s2 = 7538157, dlinesl.size( ) = 2 s1 = 12337319, s2 = 7538157, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12337319, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 12337917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12338179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12338637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15903006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15903006, s2 = 11646798, int(edited[s2]) = 0 s1 = 15903006, s2 = 11646798, d1 = 19, d2 = 14 Dl.O(d1) = 40490460,31795557,31795556,257103793 Dl.O(d2) = 256126281,255260151,254649301 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476541, s2 = 11647252, int(edited[s2]) = 0 s1 = 11476541, s2 = 11647252, d1 = 6, d2 = 7 Dl.O(d1) = 205444532,264697274,272734922,271780377 Dl.O(d2) = 269109106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476541, s2 = 11647252, dlinesl.size( ) = 14 s1 = 12339009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12339009, s2 = 14010481, int(edited[s2]) = 0 s1 = 12339009, s2 = 14010481, d1 = 36, d2 = 35 Dl.O(d1) = 254758421,255441703,256373845,47812290,59210677,71949251,85536915,85536916,259355453,113493756,113493759,99483219,85536919 Dl.O(d2) = 261150945,153400783,262216321,262216319,127363329,261150945,153400783,165203552,153400781,153400780,153400779,153400778,261700147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282198, s2 = 6587208, int(edited[s2]) = 0 s1 = 14282198, s2 = 6587208, d1 = 7, d2 = 4 Dl.O(d1) = 17268700,23580566,31064304,39742233,49760943,59146242,255118024,37825352,38936687,38936688,48855931,60248572,255507928,269864385,12356762,8348727,5388522,255176273,23866217,31360295,40040366,50059886,268680632,74314842,61538222,50059884,257652647 Dl.O(d2) = 256280768,1396292,1396294,2412379,254466001,255100212,15477554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282198, s2 = 6587208, dlinesl.size( ) = 8 s1 = 9248438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12339455, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489883, s2 = 11650268, int(edited[s2]) = 0 s1 = 11489883, s2 = 11650268, d1 = 7, d2 = 8 Dl.O(d1) = 210930240 Dl.O(d2) = 263055452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489883, s2 = 11650268, dlinesl.size( ) = 14 s1 = 15156370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15156370, s2 = 11562584, int(edited[s2]) = 0 s1 = 15156370, s2 = 11562584, d1 = 28, d2 = 5 Dl.O(d1) = 263154492,264992149,222039980,265391394 Dl.O(d2) = 228376365,265564532,231402964,266372317 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156370, s2 = 11562584, dlinesl.size( ) = 42 s1 = 11293629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293629, s2 = 5242280, int(edited[s2]) = 0 s1 = 11293629, s2 = 5242280, d1 = 18, d2 = 16 Dl.O(d1) = 260906075 Dl.O(d2) = 217740029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293629, s2 = 5242280, dlinesl.size( ) = 34 s1 = 12340085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12340085, s2 = 11068770, int(edited[s2]) = 0 s1 = 12340085, s2 = 11068770, d1 = 18, d2 = 9 Dl.O(d1) = 227061083 Dl.O(d2) = 66891214 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12340085, s2 = 11068770, dlinesl.size( ) = 22 s1 = 10989445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10989445, s2 = 11429882, int(edited[s2]) = 0 s1 = 10989445, s2 = 11429882, d1 = 55, d2 = 75 Dl.O(d1) = 4692246,7425433,11191112,16111353,22249119,29598368,257515977,38163209,29596641,22247648,22247649,29596643,38163210,48076039,38163231,29597860,22248717,22248719,29597855,22248715,22248714,29597852,38164454,47906338,39435443,30831209,30831206,39435437,49364630,50197020,40173469,40173468,38163290,29596725,29596723,256935807,44417338,40492659,40492658,48077846,49392725,44731546,35312187,35312186,40722118,37812542,37812541,47734719,258723571 Dl.O(d2) = 235998825,235998826,236140133,235214748,266268641,231845140,265913889,274384806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10989445, s2 = 11429882, dlinesl.size( ) = 58 s1 = 13991063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10564770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12341075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15156858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15156858, s2 = 12673937, int(edited[s2]) = 0 s1 = 15156858, s2 = 12673937, d1 = 10, d2 = 8 Dl.O(d1) = 9347551,9347554,13650841,19119476,255781983,28155109,20976173,255798501,33300180,256645801,25475076,255262867,13449279,18873820,25475085,33222717,25474902,25474903,33222720,42182700,42182888,33222951,33222950,42182954,52541550,52541549,42182705,42124569,33168141,33168139,35310230,35310195,35310194,44729766,44729774,44729855,42182911,33222876,33222875,42182909,33222927,33222928,27190449,27190450,35310255,35310169,35310168,35310216,27190402,20266145,14540535,14540536,20266147,25441118,18844601,13426363,9179793,9179794,13426365,18844603,25425516,18832148,13417530,9173955,9173957,255259989,25425229,33167851,27190672,20266431,14540755,10004370,9179705,6008248,3757820,2250976,1306176,254204335,3755129,3755130,2463343,1423919,810081,459127,258958,143602,143601,258956,459123,810076,1304579,1423867,810051,459109,459108,810047,1423863,2463247,3755161,3755162,3755092,3755093,6004451,4118356,2463327,2463326,4118353,6574544,10004544,9173975,9173974,13417554,13426294,18844520,18831787,13417247,13417249,18831791,20266354,14540704,14540703,18831782,25425061,33167671,42124028,42124026,42124025,257786513,74023070,74023069,74023088,87627033,95069210,81009952,67540041,67540040,81009951,95069209,95184382,88064187,74452067,61668562,50183898,40159208,40159207,50183896,61668561,74452063,88064182,257422288,256304832,36657064,46524631,46524548,36656999,28180662,28180663,36657001,36657012,28180672,28180671,36657009,46524561,257669272,70677525,84119302,97994884,111934911,125754987,130431544,116589691,102488044,102488043,116589689,258971936,102515120,88507135,258300673,62073215,74871176,88507126,102515106,116618953,102515154,88507163,88507162,259457420,74871184,88507149,90637812,76771969,76771967,76771966,74455149,74455150,88067229,98689671 Dl.O(d2) = 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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15156858, s2 = 12673937, dlinesl.size( ) = 14 s1 = 11301553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11301553, s2 = 8748805, int(edited[s2]) = 0 s1 = 11301553, s2 = 8748805, d1 = 4, d2 = 41 Dl.O(d1) = 126330678 Dl.O(d2) = 186699758,177382893,177382892,186699756,194813992,186699743,177382884,166834444,166834445,177382886,186699747,193476327,193476328,200608121,194814004,186699753,186699754,194814005,194814003,194814002,200608120,200608119,206624331,211593870,215656195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11301553, s2 = 8748805, dlinesl.size( ) = 32 s1 = 11449551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449551, s2 = 11655224, int(edited[s2]) = 0 s1 = 11449551, s2 = 11655224, d1 = 3, d2 = 11 Dl.O(d1) = 200085502 Dl.O(d2) = 264121313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449551, s2 = 11655224, dlinesl.size( ) = 14 s1 = 14159453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14159453, s2 = 11655258, int(edited[s2]) = 0 s1 = 14159453, s2 = 11655258, d1 = 17, d2 = 27 Dl.O(d1) = 262272005 Dl.O(d2) = 258971397,63067371,63067372,257732301,256593505,24752482,268469643,32370822,258345527,51379197,41189114,32370822,24752481,255227903,8830202,8830201,11448630,16433540,12903074,8777293,5716581,5716580,7871601,4997173,4997172,7871598,11788350,13135177,8951979,5842924,5714733,3557359,3557360,5714735,5716102,5716103,3582957,3582956,5753857,8830218,12972653,12972637,12972636,12902222,8776633,8776632,12901898,8776324,8776325,12901900,18190422,13135704,12800123,8702805,8702806,11851645,7921136,5035961,5035962,7921137,8777043,7884509,5007337,5007336,7884504,11804632,12902023,18190551,18191385,13136385,11217221,7442797,7442796,8777031,12902731,12901468,8775918,5715507,5715506,5714723,5714724,8774785,5843658,3646602,3646604,5715604,5715603,8776028,12901602,12902213,8952976,8952974,12902026,12901913,8776335,5715862,5715861,8776331,12901910,8952432,5843252,5843251,8952427,12078135,8121980,5843647,3646592,3646594,5716426,8777047,12902742,8952028,8952029,8776454,5715996,5715997,8776460,8777012,8777010,5716430,5716419,5716418,8777034,8775922,5715510,3557883,3557882,3557870,3557869,5715499,8775913,8776044,8776042,12901609,18190111,24646654,24646978,18190438,12901919,254627949,3558151,3558150,5715870,8776345,8776347,5715874,3558154,2179613,2179614,2179790,2179789,3646600,5715481,5715480,5715496,5715495,5715990,5716410,254627995,8775278,8775935,5716409,3558582,254429379,3646104,2179430,254144647,719464,1222495,690696,385657,385656,385457,385456,690377,385612,385613,690634,719576,407018,228316,228310,228309,228279,228281,228289,406938,406939,719472,1262926,1222558,1222559,1222083,690367,690368,690477,385515,212226,212227,212218,116021,63383,35178,35177,63376,63389,115991,212158,212287,212288,116069,116070,212305,385683,690726,1222318,1222109,1222089,690373,690374,385552,385553,690536,690448,678083,678084,407029,228323,125746,68255,36993,36992,68249,125734,228293,406980,719535,1221663,690163,690164,690677,385646,385645,690474,385510,212224,212223,385507,385360,212146,115986,63363,35169,35170,63369,116001,212129,212130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14159453, s2 = 11655258, dlinesl.size( ) = 24 s1 = 15249373, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14282452, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12534864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12534864, s2 = 379672, int(edited[s2]) = 0 s1 = 12534864, s2 = 379672, d1 = 16, d2 = 11 Dl.O(d1) = 31450151,31758419,31758420,24262663,17884651,12667923,8602862,8602861,12667921,17884647,24262659,31774976,34011744,43069549,47812304,37890650,37890649,37827575,37827574,46706449,46706451,40469246,268449900,26627844,34617447,40469180,31774310,31758675,24246876,24246875,255681596,32839443,25134145,18580468,13204117,9001278,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230770,21194415,25470207,18870020,14191727,14191730,19812727,18927369,18927371,19815660,25133576,18580087,18580090,25133587,29753330,25704394,19077840,13620205,13620201,19077821,25704374,21673759,21673757,23126765,24011576,17664481,17664478 Dl.O(d2) = 9546887,13910532,13282443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12534864, s2 = 379672, dlinesl.size( ) = 2 s1 = 12534864, s2 = 379672, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12534864, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 12534882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282464, s2 = 1017217, int(edited[s2]) = 0 s1 = 14282464, s2 = 1017217, d1 = 8, d2 = 1 Dl.O(d1) = 52669496 Dl.O(d2) = 25686030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282464, s2 = 1017217, dlinesl.size( ) = 2 s1 = 14282464, s2 = 1017217, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14282464, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 12341753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12341753, s2 = 11394414, int(edited[s2]) = 0 s1 = 12341753, s2 = 11394414, d1 = 6, d2 = 11 Dl.O(d1) = 123672344,109480520,95226626,270411590,27057082,255333047,9952504,14465791,20163590,268221350,9957882,6544732,4100295,2452767,1417976,1417975,2452761,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471961,14471198,11768227,7856978,4986767,4986770,7856990,11768256,16828793,23081186,30494747,27057338,20163932,256749713,49433313,256576560,24539337,254887568,11023703,11023705,7298610,7298607,9650709,9650708,14036511,11444618,7610784,7610783,5001770,5001771,254538832,7132490,7132489,10795278,254786036,12027724,12027725,17115765,18996705,14198424,14094356,9694001,6375863,6375862,9694000,12081966,8124636,8124635,12081960,255988157,39502105,49433314 Dl.O(d2) = 70544022,256768038,28160487,254988132,15068822,14075840,9681048,6367423,3995405,3995404,6367421,6367424,9681050,14075845,19639421,26372594,257267089,65942549,79307037,93437669,107865361,122278685,136252515,149515920,161820924 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12341753, s2 = 11394414, dlinesl.size( ) = 2 s1 = 12341753, s2 = 11394414, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12341753, Dl.E( ) = 12, 9.06e-06 seconds used appending s1 = 14282488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282492, s2 = 8275760, int(edited[s2]) = 0 s1 = 14282492, s2 = 8275760, d1 = 20, d2 = 23 Dl.O(d1) = 165832967,261143900,185919735,194141615,201184035,207113369,263882262,207113359,273115186,185919728,176489107,165832966,154062913,154062912,165832964,176489105,165832972,165832973,176489119,185919743,194141625,201184042,262689944,261693176,154062930,141388375,270312914,100095373,86127931,86127932,258099462,259348218,260566584,176489116,261693172,154062929,141388374,270312914,100095373,86127931,72528482,72528481,86127930,100095371,258723044,141388366,154062915,261143900,185919735,194141615,201184035,207113369,271831854,38358596,38358595,31747460,31747462,31747560,40442117,50224972,40202754,31516081,24015012,24015014,31394604,23901133,23901132,31394600,40075953,40202363,40202358,48618271,60008104,60006652,255933744,30124207,30124209,30126896,30126785,22744202,22744110,16536306,11525535,11525536,16536312,22744415,30126952,38701376,30124427,30124425,30124431,22741883,22741888,30124436,30318784,22918305,16684650,11646550,11646549,11523150,11522921,7665198,7665200,11522924,11522071,7664543,4849384,4849383,7664539,11522062,11522950,7665212,4849872,4849873,7665220,7665330,4849935,2922497,1695240,963987,963985,1695261,2922549,4850045,7665273,7665272,11522639,16532862,16532863,22740483,22741038,16535825,16535824,22743766,22741653,22741654,22741448,16533627,11523243,7665433,7665374,7665373,11523163,16533528,11523269,7665444,7665445,7664584,4849411,4849413,7664592,11522138,16532357,16532239,11522054,11522052,16532233,22739828,22740984,16533268,16532948,11522693,11522695,16532952,255110184,38699378,38700819,255110416,30123722,38700720,48616051,48616001,38700660,38700662,30123675,22741163,22741164,30123679,38700695,34990752,34990753,37930127,29363337,22032510,22032511,29363340,37930135,38700586,48615954,44369113,44369114,47850366,38701338,30124397,22743739,22743740,30126240,38702146,38701244,38701243,38699966,30122728,30122727,38699963,38702335,38699456,30122217,30122216,26909693,20025907,14343562,14343563,20025913,26909706,34990749,38870198,30284353,22886510,22886512,30284359,38870205,44365402,34987440,26906962,20023519,20023517,26906956,34987430,256418585,22587227,29950899,38515369,48422538,48422539,59808325,72543426,79264131,93390446,86338426,86338427,86331694,72733928,72733927,86331691,100108177,86142041,72543568,72543566,73438408,72543557,59808423,59808424,72543559,60631806,49230597,39303493,39303494,255974911,17030661,11945355,7995574,7995573,11945353,11944757,11944756,17029860,23289260,23290934,21863944,21863943,17031437,11945936,254914652,17030136,11944959,7995334,5089685,4652148,2802432,2802431,4652145,7364661,10500782,6924166,6924167,255020591,255142189,7995777,7995776,11945639,17031036,11945821,7995912,254379791,1804020,1804021,3088804,254565427,11945828,11945737,7995858,7995840,7995839,11945712,255356413,10248734,6733780,4218850,254217315,464813,254084225,24332,267739287,4218883,6733833,10248812,9003943,5877862,5877854,3669678 Dl.O(d2) = 8514493,5512969,3400207,3400203,5512951,8514455,7013421,4409505,4409507,5631150,8657156,6927570,4528926,4528717,2722333,1577571,1577570,2093326,3519117,5658839,5001898,5001897,7877904,11796503,254545144,23393872,17122123,17122124,23393106,23393107,19652712,14086601,14086603,16913999,16915809,16915810,23180829,17119417,12030442,12030334,8863355,7357228,4647434,3161907,1850985,1850984,3161818,3161817,3161349,1850694,1056223,1056225,1850684,3161285,5181166,8086550,12028350,15466702,14904213,14904214,20797243,20796579,14903691,14903690,20796572,26395107,19660875,14092848,9693107,6375373,6375374,9693110,11885677,16973150,23241564,30660222,30817481,255502966,256446360,269831144,25388972,18802856,18802857,25388975,25388966,25388967,18802855,13394724,9157252 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282492, s2 = 8275760, dlinesl.size( ) = 18 s1 = 14282504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15249422, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14282512, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14865325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12535516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15249446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11658199, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14282532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282532, s2 = 11658200, int(edited[s2]) = 1 s1 = 14113981, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14282560, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12535900, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12536006, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14282582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282582, s2 = 2811929, int(edited[s2]) = 0 s1 = 14282582, s2 = 2811929, d1 = 18, d2 = 2 Dl.O(d1) = 258523372,256880656 Dl.O(d2) = 84510215 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282582, s2 = 2811929, dlinesl.size( ) = 2 s1 = 14282582, s2 = 2811929, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14282582, Dl.E( ) = 20, 7.15e-06 seconds used appending s1 = 14041421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14282590, s2 = 7694545, int(edited[s2]) = 0 s1 = 14282590, s2 = 7694545, d1 = 13, d2 = 10 Dl.O(d1) = 258427496,272526253,262490036,200209451,263733668,273447940,263530151,264206531 Dl.O(d2) = 273987717,272852385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14282590, s2 = 7694545, dlinesl.size( ) = 14 s1 = 12342933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12342933, s2 = 11028504, int(edited[s2]) = 0 s1 = 12342933, s2 = 11028504, d1 = 9, d2 = 12 Dl.O(d1) = 28701481,37227605,47125491,58503996,71225574,84793850,98721321,112716567,260208334,261374918,157358128,144944838,131696434,261617892 Dl.O(d2) = 51204053,268711159,32254574,32254612,41047941,51204121,257329794,33317497,33317498,42298120,257394769,36549407,28081119,20908375,20908376,28081122,36549412,46411065,57761974,46940403,37061641,28560577,28560576,37061645,46940409,49080452,258005585,64781044,52861538,42457588,33464483,25692040,19118375,19077116,19077118,19103978,19089664,13629222,9340206,6117990,6117988,9340197,13619830,9326126,9326124,13582298,9300036,6092112,6092109,7420384,9300095,6092136,6092131,6134627,9320106,13611096,18359620,18359619,24856288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12342933, s2 = 11028504, dlinesl.size( ) = 8 s1 = 15157186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157186, s2 = 14892110, int(edited[s2]) = 0 s1 = 15157186, s2 = 14892110, d1 = 21, d2 = 25 Dl.O(d1) = 264670506,220584868,217513787,213831821,213831822,217513788,220584872,223196529,220584864,220584862,223196527,223878353,221399418,218508230,215071114,210895871,205784463,199602946,199602947,264437627,209311866,203836756,203836746,197278143,197278144,264352075,209311868,213802761,209311876,209311875,203836766,197278164,189589596,180691825,170560106,159221609,146847905,133589992,119715209,260262321,91253632,77334130,77334131,70411500,57717322,57717321,70411499,83937805,97797025,111719932,125527434,138860758,151563663,163446732,174294890,183957518,177749129,167255816,155626105,143076783,129747152,115848045,101801890,270383571,49965002,39948082,31273302,23787766,17456774,12306409,255560087,257062369,61443117 Dl.O(d2) = 114941370,100889362,100889361,86909217,73299212,60556320,49156978,49156977,49156979,268743160,47007870,37121441,28610965,21375744,15394387,10639297,7023694,7023693,10639296,15394386,21375742,28610964,37121440,47007869,58378497,58378498,71094818,258673531,98580390,101532956,87575199,87575198,87575201,73977128,61199030,61199029,257043441,23543826,255520657,254814213,7907007,7520799,4754892,2865731,2865732,4754901,7520811,8228875,7324519,7305578,4610011,4610010,3199768,1873259,1068543,1068542,1873257,3199764,5240759,254834319,17262593,23574027,31057665,39088067,30491411,23077928,16825899,16825900,23077938,30491425,39088088,49017744,60421557,72163910,61760088,50280484,40259570,33509285,33509287,42508220,49936247,49936246,49337910,39408473,30803675,30803674,39408464,49337886,60741072,60421540,49017736,269365479,73168185,77385200,64234870,52379423,42035860,33088351,25355808,25355809,33088352,257190595,64234881,53832247,52379438,52379437,64234917,77385261,79261488,65899356,53832257,257859949,65899212,65899211,79261313,259738097,79262056,79261495,257859951,53832265,43307382,43307383,53832313,53832315,43307386,34208948,26335201,19607085,14049688,14049687,19607083,26335197,256705163,53832309,65899398,79261534,79261838,259738071,79261555,259738073,79261563,79261562,93388159,81097336,67631756,67631755,81097334,95154963,109409717,95154966,95154962,258529353,55293764,44449341,44449342,55293766,67631758,67631766,67631767,81097352,260399061,116441469,102348256,102348257,116441470,130278482,136181910,149433147,161724719,172882594,164715608,152883600,140192282,126843967,126843968,117959291,103811773,102348197,88352001,88351999,102348193,116441369,118372344,118372345,132189183,142589776,136181961,129218180,115289515,101211000,101211001,115289521,129218185,142589772,136181940,122217289,107810943,93388369,79261780,79261779,93388367,107810931,122217269,136181913,149433151,145049604,145049602,157486631,157486641,157486640,168953169,179243471,176396866,176396865,185835343,176932747,166336315,260088840,128616790,141976524,131788695,117959298,103811778,100017542,100017541,114044828,100673660,100673659,114720024,128616789,259488262,127925929,257632208,100017523,114044799,127925932,141287296,152479833,139758356,127925969,114044840,100017547,100017546,114044838,127925967,127925966,140813264,140813285,140813254,127453127,122912574,122912575,136744374,140813270,127453156,113577007,99560530,99560531,113577012,127453093,113576946,99560475,85610030,85610029,99560474,99560488,113576958,112557090,112557089,99560501,99560500,113576971,127453109,140813235,153494032,152516395,139799148,126426053,120253066,120253065,122912585,260376350,112550629,112550638,271637000,98556860,98556888,84633365,71070272,58353975,46984303,46984304,58353977,258672155,71070270,259298757,71070255,71070196,71070195,84633285,84633347,86803642,84633343,71070251,71070252,84633346,73191699,60445251,60445246,60445247,257651794,49041461,257586897,73191685,84029651,70494763,57793861,46438516,46438515,57793859,70494761,71070203,58353929,57793851,256818531,36573517,46438509,57793844,70494745,84029630,84029710,84029711,86803654,73191709,73191710,74305189,259507217,271301667,84633298,73599441,73191704,257069110,39111740,30514571,30514570,39111737,49041464,57793857,46438513,46438512,57793853,270275581,84029647,269982750,73599504,73599503,269764943,46438507,46438506,57793841,70494740,84029624,97899562,97899579,111832847,125647995,260261634,111832842,101243545,87243252,87243251,101243543,87243257,87221492,73599499,60849990,50461247,258228053,49467329,256493457,30922240,30922239,23484561,17200960,17200961,23484563,30922237,30922238,39533230,49467325,60870859,60870947,49467403,49467404,60870951,60870887,60870886,73621481,60871024,49467473,39533342,30922319,23484614,23484616,30922324,257038891,60871032,60871011,60871010,60870955,60870956,73621548,87243243,87243334,87243333,101243614,87243359,87243358,73621675,60871068,49467524,49467514,49467336,39533235,39533236,49467317,39533223,30922230,30922232,257038871,60870852,51612259,269377515,41386169,32535631,24890490,18390411,13062756,8901345,5808504,5808502,8901335,10340029,10340030,15010233,20915804,28089471,33617696,41386662,48929702,255926488,31444545,23952867,23952868,31444549,33065071,257114451,24389877,17990038,17990039,19366670,19366671,26045949,19366642,19366643,26045952,33868139,26045986,26045985,256687155,53380285,65384245,73621588,270883059,87243279,73621591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157186, s2 = 14892110, dlinesl.size( ) = 36 s1 = 15249516, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11432259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432259, s2 = 7307832, int(edited[s2]) = 0 s1 = 11432259, s2 = 7307832, d1 = 1, d2 = 10 Dl.O(d1) = 192119839 Dl.O(d2) = 265235540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432259, s2 = 7307832, dlinesl.size( ) = 14 s1 = 14282620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282622, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13938248, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13938248, s2 = 14149506, int(edited[s2]) = 0 s1 = 13938248, s2 = 14149506, d1 = 78, d2 = 50 Dl.O(d1) = 242054991,242419746,242758031,243072934,243368719,243645418,267287691,244366403,244573041,244765243,244944744,244949619,267356090,267335112,244150015,243911037,243654296,243377858,243082299,242767560,242429525,242065321,241669862,241241596,266932948,239741850,239160479,238527716,237836525,237076249,236243911 Dl.O(d2) = 236243912,235331266,235331267,236243913,237076255,237836530,237836532,266554118,235331269,235331270,236243916,237076253,236243912,235331266,235331267,235331268,235331270,236243916,237076257,237836535,238527721,239160485,239741852,239741856,239741857,239741853,239741854,239160488,238527724,237836538,237076258,237076259,237836540,238527727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13938248, s2 = 14149506, dlinesl.size( ) = 2 s1 = 13938248, s2 = 14149506, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 13938248, Dl.E( ) = 80, 2.29e-05 seconds used appending s1 = 12536530, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12536538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11455821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455821, s2 = 14301631, int(edited[s2]) = 0 s1 = 11455821, s2 = 14301631, d1 = 12, d2 = 7 Dl.O(d1) = 264270781 Dl.O(d2) = 224799028,222433020,265422421,226852996,226544805,224447658,265354562 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455821, s2 = 14301631, dlinesl.size( ) = 18 s1 = 14151005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12343733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12343733, s2 = 11445834, int(edited[s2]) = 0 s1 = 12343733, s2 = 11445834, d1 = 9, d2 = 14 Dl.O(d1) = 183070698,191679389,199082067,205343824,210527453,214763220,264483974,264974888,227754375,229417696,230894951,230937753,229465622,227808790,225921681,265332859,218348571,218348572,221262330,223758292,225921685,227808797,229465629,227808794 Dl.O(d2) = 227808793,229465627,229465626,265671665,225921682,227808792,227808801,225921688,225921689,227808803,265954711,227808791,227808792,229465624,229465622,227808790,225921681,265332859,218348571,218348572,221262330,223758292,225921685,227808796,227808788,227808787,227808788,225921680,265332859,218348571,214881253,210667441,205509286,199273793,191903896,263026947,262575595,150369218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12343733, s2 = 11445834, dlinesl.size( ) = 12 s1 = 12536730, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12536730, s2 = 11621836, int(edited[s2]) = 0 s1 = 12536730, s2 = 11621836, d1 = 0, d2 = 17 Dl.O(d1) = 231223997 Dl.O(d2) = 243206107 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12536730, s2 = 11621836, dlinesl.size( ) = 18 s1 = 10402709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11536561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536561, s2 = 7082050, int(edited[s2]) = 0 s1 = 11536561, s2 = 7082050, d1 = 21, d2 = 16 Dl.O(d1) = 265937917 Dl.O(d2) = 262299996 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536561, s2 = 7082050, dlinesl.size( ) = 30 s1 = 12343877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12343877, s2 = 11620606, int(edited[s2]) = 0 s1 = 12343877, s2 = 11620606, d1 = 22, d2 = 9 Dl.O(d1) = 245770943,245645370 Dl.O(d2) = 244692566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12343877, s2 = 11620606, dlinesl.size( ) = 30 s1 = 11052107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11052107, s2 = 15054938, int(edited[s2]) = 0 s1 = 11052107, s2 = 15054938, d1 = 6, d2 = 1 Dl.O(d1) = 256241319,44835469,55743310,68141230 Dl.O(d2) = 55743308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11052107, s2 = 15054938, dlinesl.size( ) = 12 s1 = 12567734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12536858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14104377, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14844121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844121, s2 = 11336762, int(edited[s2]) = 0 s1 = 14844121, s2 = 11336762, d1 = 9, d2 = 6 Dl.O(d1) = 263578143 Dl.O(d2) = 260642937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844121, s2 = 11336762, dlinesl.size( ) = 14 s1 = 14133959, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12536934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12536934, s2 = 11481286, int(edited[s2]) = 0 s1 = 12536934, s2 = 11481286, d1 = 8, d2 = 8 Dl.O(d1) = 266232158,274631817,274666868,234829168,234829167,233776038,266327907,233776034,232619006,231339083,229910965,274466874,224361757,221936682,264995260 Dl.O(d2) = 266232158,274631817,274666868,234829168,234829167,233776038,266327907,233776034,232619006,231339083,229910965,274466874,224361757,221936682,264995260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12536934, s2 = 11481286, dlinesl.size( ) = 2 s1 = 12536934, s2 = 11481286, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 12536934, Dl.E( ) = 10, 3.1e-06 seconds used appending s1 = 11645109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645109, s2 = 11643442, int(edited[s2]) = 0 s1 = 11645109, s2 = 11643442, d1 = 31, d2 = 42 Dl.O(d1) = 267700068 Dl.O(d2) = 267682184,247571656,247552726,247533664,247514120,267668908,247450776,267661220,247403240,275077727,267666375,247514121,267671222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645109, s2 = 11643442, dlinesl.size( ) = 42 s1 = 14111743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111743, s2 = 11453624, int(edited[s2]) = 0 s1 = 14111743, s2 = 11453624, d1 = 2, d2 = 11 Dl.O(d1) = 141436190 Dl.O(d2) = 176529013,185957822,263171314,207145843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111743, s2 = 11453624, dlinesl.size( ) = 10 s1 = 12567758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14039649, s2 = 10450992, int(edited[s2]) = 0 s1 = 14039649, s2 = 10450992, d1 = 40, d2 = 43 Dl.O(d1) = 18757301,13356350,9127844,9127841,13356344,13715151,9394241,9394240,10638048,15392831,14442354,12503701,12503702,9381410,9381408,13697851,19181289,13697884,9381354,6145957,6145956,7011002,4407692,3845916,3845915,6146011,6146012,6204869,9463212,13799747,19300430,19202938,13715178,13715179,15424514,21413910,15842686,10978771,7266800,7266802,9381570,9381571,13698162,19181623,254427924,24965551,18446804,13103944,8930729,8930727,13103941,18446802,24760876,24471296,19202801,13715052,255284449,25859945,33666256,37815142,33637223,25834216,25834215,25834314,33637256,25834279,19181331,13697892,9381359,6145962,6145963,9381365,13697902,12796688,12796690,18051003,14587734,10037639,9381281,9381282,12796745,12796744,13715193,13715194,13246187,13103890,13103891,18446741,18446825,13103962,8930745,5829048,3637243,2173342,2173341,3637237,5829031,8930705,13103910,18446762,16594465,16594467,22812486,24638715,24638714,28608565,24327555,24327554,25834206,25337694,18758006,18758004,24965492,25337689,19181367,18049042,18049043,24327559,17939434,12711518,268120745,24327557,24468960,18049006,12795069,8698994,8698993,12795068,18049005,20326914,14587759,12796652,8700165,5663019,5663021,8700170,10038065,8930734,8930732,10037712,10653676,7034866,4426007,2656016,2095382,1205772,1205771,2095381,3522117,5663091,8700254,10038012,10037740,6596541,6596540,10037736,6596757,6596758,10038043,10037826,10037827,10692711,7064128,7064127,10692707,10661303,7040756,7040755,10661298,12711549,8636609,5616635,3489049,3489048,5616630,8636601,12711512,10038018,10038019,9128351,5973599,5973598,4132795 Dl.O(d2) = 15085412,10405040,6858872,4304528,4304529,254716479,15085417,14588126,10037977,10037978,10648314,15405640,11101811,7362361,7362360,11101809,15420399,20326999,20326998,15085440,10405064,10405063,10659996,15420574,15420557,10659988,10659987,15420552,21408807,22102301,18817045,15992148,11101767,11101766,15992144,12711507,8636585,8636586,10659960,10659933,7039616,7039617,10659935,9165119,9165118,9165053,9165052,5998561,5998562,9165132,13405492,13405499,13879150,19402384,26091749,33924935,28628260,21389952,20326987,14587828,14587829,20326992,21001455,21001454,20327003,14587834,10037731,6596536,6596538,7072035,7072036,10704471,15479682,21483333,18126434,18126436,24566457,18126450,18126224,12853058,12853057,18126219,15420536,10659979,7039638,4429720,2658823,1538441,873389,873390,1538446,2658834,4429736,7039666,10660012,13405441,9463509,9165090,9165091,12853043,8740439,8740436,12853035,18126187,17939415,17939416,24327545,24566390,18817039,13405434,12794991,12794992,18048916,15405675,10648344,7030816,4422879,4422878,7030812,10648333,15405662,21389984,24471236,24566414,18126456,12853245,8740565,5690280,3539867,3539868,5690283,8740571,8740516,5690254,5690253,4429695,4429692,7039588,7039595,7039594,10659897,15420449,21408695,21408746,21422111,15430994,15430993,12794832,12794834,18048740,24468721,24468703,24468657,18048659,18048658,24468655,29696593,22342965,21338492,15364606,255284448,12851920,18124635,24564125,24468857,24468858,32031017,24566412,24566307,18126269,12853100,8740477,254427925,2107230,1213636,1213637,2107232,3539846,4423046,7031036,10648671,15406163,12851911,12851909,18124620,15430987,10667766,8698765,5662101,3521519,2094968,1205477,1205478,2094971,3521525,5662115,8698789,12794793,255606605,24564122,18124630,12851918,12851917,18124628,254663422,24566298,18126262,12853096,12730797,8740586,8740587,12853273,18126477,24566499,24566321,18126279,15406147,10648659,8840389,5761327,3588398,3539449,2106954,2106953,3539446,5689643,5662172,3521556,2094985,1205483,679501,679503,1205490,2095000,3521244,5661732,8698273,12794083,18047821,13357140,9128477,8739592,5689627,5689625,8739584,11257071,11257073,15360449,15360450,10659195,7039078,7039079,10659198,7155810,7155809,10826555,255032654,24793918,18310548,12997954,12997953,18310546,24793915,32420059,27029853,20137261,20137262,24318917,17932288,12706075,8632676,8632677,12706077,12794977,12796315,8849203,5767388,3592359,3592361,5767389,5767414,267887824,18310568,21337553,16022524,12794886,8698861,5767370,3592353,3592354,5767373,8849178,255230165,24793867,18772289,18772290,24793860,32033019,24470627,19832651,19832652,24470638,21399333,255035670,25075189,25966040,24327535,24327536,25427201,25427202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14039649, s2 = 10450992, dlinesl.size( ) = 14 s1 = 10451008, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10451008, s2 = 14039650, int(edited[s2]) = 0 s1 = 10451008, s2 = 14039650, d1 = 53, d2 = 40 Dl.O(d1) = 37197328,33148031 Dl.O(d2) = 4423045,7031031,8740574,12853253,18126462,24566486,32031122,24468881,24468882,21390666,15406148,10648659,8840389,5761327,3588398,3539449,2106954,2106953,3539446,5689643,5662172,3521556,2094985,1205483,679501,679503,1205490,2095000,3521244,5661732,8698273,12794082,18047817,15419636,10659208,7039087,7039091,10659217,15419644 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14155275, s2 = 11604842, int(edited[s2]) = 0 s1 = 14155275, s2 = 11604842, d1 = 20, d2 = 12 Dl.O(d1) = 245241070,245080988,244909775,244727424,267347506,244096162 Dl.O(d2) = 267090990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14155275, s2 = 11604842, dlinesl.size( ) = 26 s1 = 14022591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14022591, s2 = 10460161, int(edited[s2]) = 0 s1 = 14022591, s2 = 10460161, d1 = 1, d2 = 7 Dl.O(d1) = 3532326 Dl.O(d2) = 206364759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14022591, s2 = 10460161, dlinesl.size( ) = 2 s1 = 14022591, s2 = 10460161, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 14022591, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14126447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13426027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13426027, s2 = 6836813, int(edited[s2]) = 0 s1 = 13426027, s2 = 6836813, d1 = 51, d2 = 23 Dl.O(d1) = 28167937,36643066,46510429,57866583,70568363,259266703 Dl.O(d2) = 259041768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13426027, s2 = 6836813, dlinesl.size( ) = 20 s1 = 12344499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12344499, s2 = 11460766, int(edited[s2]) = 0 s1 = 12344499, s2 = 11460766, d1 = 84, d2 = 87 Dl.O(d1) = 224235391,224408047,226509985,228196176,228196175,226509986 Dl.O(d2) = 226858369,224805307,222440447,274207231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12344499, s2 = 11460766, dlinesl.size( ) = 80 s1 = 11460765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14031743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14059945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12235713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11377017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377017, s2 = 6126509, int(edited[s2]) = 0 s1 = 11377017, s2 = 6126509, d1 = 57, d2 = 42 Dl.O(d1) = 164576293,263106701,193231580 Dl.O(d2) = 242217545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377017, s2 = 6126509, dlinesl.size( ) = 26 s1 = 11531401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531401, s2 = 6856621, int(edited[s2]) = 0 s1 = 11531401, s2 = 6856621, d1 = 5, d2 = 0 Dl.O(d1) = 224252597 Dl.O(d2) = 112985757,259326321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531401, s2 = 6856621, dlinesl.size( ) = 22 s1 = 11632317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632317, s2 = 14143548, int(edited[s2]) = 0 s1 = 11632317, s2 = 14143548, d1 = 82, d2 = 73 Dl.O(d1) = 245620886,245484429,245339357,245185683,267383850,244461724,244247983,267321877,244247982,244017482 Dl.O(d2) = 233718363,274593951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632317, s2 = 14143548, dlinesl.size( ) = 58 s1 = 11512219, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218450, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11237191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237191, s2 = 10509244, int(edited[s2]) = 0 s1 = 11237191, s2 = 10509244, d1 = 9, d2 = 15 Dl.O(d1) = 81568295,68078400,55679651 Dl.O(d2) = 269204335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237191, s2 = 10509244, dlinesl.size( ) = 18 s1 = 10510029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12537346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11142773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11142773, s2 = 14130488, int(edited[s2]) = 0 s1 = 11142773, s2 = 14130488, d1 = 37, d2 = 23 Dl.O(d1) = 258679405,260526845 Dl.O(d2) = 184804916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11142773, s2 = 14130488, dlinesl.size( ) = 42 s1 = 11398073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12344927, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10523797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592719, s2 = 11619028, int(edited[s2]) = 0 s1 = 11592719, s2 = 11619028, d1 = 16, d2 = 15 Dl.O(d1) = 238922118,238270919,266740255 Dl.O(d2) = 235902160,235902161,274752307,266802661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592719, s2 = 11619028, dlinesl.size( ) = 16 s1 = 11536705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536705, s2 = 11444972, int(edited[s2]) = 0 s1 = 11536705, s2 = 11444972, d1 = 5, d2 = 8 Dl.O(d1) = 225627226,223394467,220812102,217779343,214146357,214146356,265109753 Dl.O(d2) = 217779342,214146357,209721829,204326585,264361736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536705, s2 = 11444972, dlinesl.size( ) = 2 s1 = 11536705, s2 = 11444972, "passes" = passes Sat Dec 09 04:19:17 2017: s1 = 11536705, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11091573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091573, s2 = 10528959, int(edited[s2]) = 0 s1 = 11091573, s2 = 10528959, d1 = 51, d2 = 12 Dl.O(d1) = 258848071,101212650,261137443,262203589 Dl.O(d2) = 221881793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14121283, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10536746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11471979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11471979, s2 = 15895525, int(edited[s2]) = 0 s1 = 11471979, s2 = 15895525, d1 = 18, d2 = 27 Dl.O(d1) = 202307739 Dl.O(d2) = 5339496,8275268,7693445,7693447,11560535,12232136,12232139,17362067,23682371,17788490,17369089,12580052,12580050,17775647,24139945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11471979, s2 = 15895525, dlinesl.size( ) = 20 s1 = 11138021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138021, s2 = 11141108, int(edited[s2]) = 0 s1 = 11138021, s2 = 11141108, d1 = 56, d2 = 43 Dl.O(d1) = 55706085,68103267,257292860,109830005,123969537,271670147,257891160 Dl.O(d2) = 28856746,37397534,257459783,258655992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138021, s2 = 11141108, dlinesl.size( ) = 26 s1 = 14152795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12345147, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16323761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11596173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158269, s2 = 11442166, int(edited[s2]) = 0 s1 = 11158269, s2 = 11442166, d1 = 31, d2 = 28 Dl.O(d1) = 61999686,74796145,259541829 Dl.O(d2) = 208113321,208113318,202348440,195491295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158269, s2 = 11442166, dlinesl.size( ) = 44 s1 = 11096071, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13903518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11027315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075509, s2 = 10577884, int(edited[s2]) = 0 s1 = 11075509, s2 = 10577884, d1 = 27, d2 = 16 Dl.O(d1) = 34618116,256753899 Dl.O(d2) = 255300641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075509, s2 = 10577884, dlinesl.size( ) = 34 s1 = 11244165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12537762, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569417, s2 = 11531660, int(edited[s2]) = 0 s1 = 11569417, s2 = 11531660, d1 = 18, d2 = 0 Dl.O(d1) = 233437855 Dl.O(d2) = 223742147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569417, s2 = 11531660, dlinesl.size( ) = 28 s1 = 12275829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12275829, s2 = 11286778, int(edited[s2]) = 0 s1 = 12275829, s2 = 11286778, d1 = 30, d2 = 3 Dl.O(d1) = 4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,10020079,9361077,6131592,6131589,9361069,13669975,15595566,15595565,11528955,11528956,14929857,14929856,19243886,19243887,15002544,14563283,13661216,9355056,9355055,13661212,14563292,18045909,13929857,9561190,6273824,6273825,9561196,13929868,18951945,20838458,24117560,31623002,29349793,28557161,21331537,21331536,20839210,14939896,14939897,16777123,12564461,8519446,5517639,3404336,3404335,5517633,8519434,7660792,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,6585909,10020306,10020326,14561923,20292839,16520397,11513381,7658874,7658876,11513388,16520408,18676819,14608929,10052598,10052600,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,16524659,12385020,8369029,8369030,10047417,10047539,10047574,11517213,11516145,11516144,10274865,8585318,8585319,9443445,13774400,18830285,17854538,12644305,8585292,8585290,12644295,17854520,15050212,15050213,20959397,24226107,21625949,15595210,10788478,10788480,15595219,21625964,23900416,19177155,19177158,21628192,15887400,11013273,7290639,7290637,7290629,7290630,10880855,13598947,12643942,12384904,8368943,5401212,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031797,6426292,255316313,256725619,54665294,66921849,259135549,108689624 Dl.O(d2) = 108689625,262562743,183083845,183083844,183083845,184927578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12275829, s2 = 11286778, dlinesl.size( ) = 32 s1 = 11640511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11640511, s2 = 7512291, int(edited[s2]) = 0 s1 = 11640511, s2 = 7512291, d1 = 120, d2 = 183 Dl.O(d1) = 247065136 Dl.O(d2) = 267370883,245075779,267425331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11640511, s2 = 7512291, dlinesl.size( ) = 80 s1 = 12345683, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11675102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11185981, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10594414, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10594414, s2 = 11091672, int(edited[s2]) = 0 s1 = 10594414, s2 = 11091672, d1 = 34, d2 = 20 Dl.O(d1) = 16071655,11160292,7402823,4676798,2817522,1634556,929516,523937,293610,293609,523932,929510,1634541,2817501,4676767,7402782,256931139,59404167,72134514,85719045,99666576 Dl.O(d2) = 255928831,16477021,11480290,10030890,6592419,4130116,4130115,6592415,10030880,12569392,8523653,8523650,12569384,17762880,12641430,12641428,12641438,17850338,19236948,16057888,15103900,15103899,21028477,21677695,27979419,27979421,36438469,31284005,23797882,17465514,17465515,23797886,31284016,39958819,31435239,29889832,29889833,24561743,24561742,28224267,34062180,38082512,38082514,47994809,49147385,54715192,54715190,55678330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10594414, s2 = 11091672, dlinesl.size( ) = 40 s1 = 12537848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12537848, s2 = 11564916, int(edited[s2]) = 0 s1 = 12537848, s2 = 11564916, d1 = 24, d2 = 14 Dl.O(d1) = 265599279,228707805,230275007,274476279,226927093,265429891 Dl.O(d2) = 265429889,265894803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12537848, s2 = 11564916, dlinesl.size( ) = 24 s1 = 12537870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10601720, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12537874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372559, s2 = 10614029, int(edited[s2]) = 0 s1 = 11372559, s2 = 10614029, d1 = 19, d2 = 17 Dl.O(d1) = 260991917,123620468 Dl.O(d2) = 259787241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372559, s2 = 10614029, dlinesl.size( ) = 24 s1 = 11246145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11246145, s2 = 14140039, int(edited[s2]) = 0 s1 = 11246145, s2 = 14140039, d1 = 70, d2 = 79 Dl.O(d1) = 262703297,185488274,193754444,264210663,206824595 Dl.O(d2) = 265954441,223755083,223755084,265332457,218344775,214877302,210663028,205504366,199268508,263432621,183330278,191898168,199268510,205504370,210663033,214877309,218344785,221258772,265332457,221258754,221258755,265510371,221258758,218344776,274253963,223755082,223755079,221258762,221258756,218344773,214877301,210663028,205504366,199268508,263432621,183330278,191898168,199268510,205504369,210663031,214877306,218344780,218344781,221258759,218344778,274253965,214877304,210663029,205504368,199268509,199268510,205504370,210663033,214877309,218344785,221258772,265332457,218344775,214877302,210663028,205504366,199268508,263432621,173530276,162493304,261552693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11246145, s2 = 14140039, dlinesl.size( ) = 64 s1 = 14138041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10627104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12346135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12538134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12346265, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14001316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14001316, s2 = 11629480, int(edited[s2]) = 0 s1 = 14001316, s2 = 11629480, d1 = 119, d2 = 95 Dl.O(d1) = 229785358,228162229,226313164,226313163,228162227,229785355,231226299,231226316,229785365,229785366,231226317,231226304,231226305,232518719,266319679,232518708,266008982,229785349,231226279,229785341,229785342,266103289,231226296,229785352,229785353,231226298,231226276,231226275,232518694,233686667,266240310,231226303,229785357,229785356,231226301,266215877,231226311,265878548,228162235,229785363,231226291 Dl.O(d2) = 267356366,244375607,267376601,245121208,275017628,245818602,267512965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14001316, s2 = 11629480, dlinesl.size( ) = 12 s1 = 12538158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11258499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258499, s2 = 3987384, int(edited[s2]) = 0 s1 = 11258499, s2 = 3987384, d1 = 10, d2 = 15 Dl.O(d1) = 89584255,75801822,75801821,89584254 Dl.O(d2) = 157345108,157345107,157345108,144931377,144931376,152676001,152239284,141309606,127949895,127949897,261738239 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258499, s2 = 3987384, dlinesl.size( ) = 10 s1 = 14038101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14002881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11165597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11165597, s2 = 11471318, int(edited[s2]) = 0 s1 = 11165597, s2 = 11471318, d1 = 0, d2 = 30 Dl.O(d1) = 65098836,78382667,92420063 Dl.O(d2) = 273249923,263740617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11165597, s2 = 11471318, dlinesl.size( ) = 32 s1 = 16343607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12538366, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12041469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14039173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14218848, s2 = 14030018, int(edited[s2]) = 0 s1 = 14218848, s2 = 14030018, d1 = 47, d2 = 54 Dl.O(d1) = 84268256,98161960,112121195,125954584,139303372,152010022,261091972,184317971,184317970,174695623,174695624,184317973,192736803,192736800,184317972,184317971,273098052,263090480,184317974,184317973,192736803,263490670 Dl.O(d2) = 263860732,184843650,175284784,164513506,262661433,184843649,184843644,175284782,273332685,175284781,184843642,184843646,184843647,184843655,175284786,164513507,152668707,152668708,164513501,263501577,193190078,193190066,184843643,175284782,273332685,175284781,184843642,184843646,184843647,184843655,273703601,263860729,193190062,200353967,264471257,263860730,175284783,263103187,193190071,193190077,264182983,193190080,184843659,184843658,193190066,184843643,175284782,164513503,152668702,139969885,139969884,152668700,164513502,175284781,184843642,184843646,262661434,152668704,139969885,126615607,259930894,48288182,256328562,16271756,16271757,22439377,17406730,17406731,23731014,28710284,21500236,20987124,15074471,13557449,13557446,16221040,16157816,13557472,9281877,6080156,6080160,254930005,18997630,19304932,13803108,9465514,6206458,3884684,2326116,2326115,3884681,268043740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14218848, s2 = 14030018, dlinesl.size( ) = 2 s1 = 14218848, s2 = 14030018, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14218848, Dl.E( ) = 60, 2.98e-05 seconds used appending s1 = 11425445, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11312301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312301, s2 = 12265556, int(edited[s2]) = 0 s1 = 11312301, s2 = 12265556, d1 = 58, d2 = 34 Dl.O(d1) = 115702677,101658776,101658774 Dl.O(d2) = 31118255,39798751,49819348,61298907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312301, s2 = 12265556, dlinesl.size( ) = 36 s1 = 14844420, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14844420, s2 = 10766479, int(edited[s2]) = 0 s1 = 14844420, s2 = 10766479, d1 = 66, d2 = 45 Dl.O(d1) = 26344177,26344179,34217781,42166761,33206573,33206572,257200043,64398869,65906324,65906325,79268504,93394746,271613953,107816710,93394732,79268488,257860683,43315540,43315539,257266059,256185995,255305605,9665568,254462749,2389999,1383460,787030,787029,1383458,254311063,6355853,3987806,3987807,6355856,9665565,254676699,6355706,9665367,9665468,6355787,254311057,2389961 Dl.O(d2) = 10488766,10488765,15139690,10441916,10441915,254371486,28281761,30540151,36876499,267793376,36876502,28379967,21162498,15206066,10488774,6915874,6915875,254079312,21076708,28281710,254172520,15206108,21162531,28281695,21076690,15139642,15139641,20229930,27136553,254172518,21090548,15149532,254808290,28298467,28298476,21090556,21090555,267835082,36877689,36795485,28298361,28298363,21983788,15888000,15887999,21036216,28233377,36727055,255512384,57990917,46681339,36795541,36795542 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14844420, s2 = 10766479, dlinesl.size( ) = 36 s1 = 11016663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016663, s2 = 14056918, int(edited[s2]) = 0 s1 = 11016663, s2 = 14056918, d1 = 12, d2 = 19 Dl.O(d1) = 10582967,10582969,10582965,6981430,4386625,2627818,2627819 Dl.O(d2) = 6981431,4386625,4386624,6981429,10582963,255394181,28505690,28505694,21286647,15322332,10582964,6981430,4386625,2627818,2627819,4386627,6981434,255823245,17633949,12456389,268114461,255394185,28505698,37003790,31477365,255823243,21286649,255823241,15322331,254728579,6981429,10582963,255394181,28505689,256851497,28505697,21286651,255028233,6981431,4386625,2627818,2627819,4386627,6981434,255823245,17633949,12456389,268114461,255394185,28505698,37003790,257079543,37003785,256851497,28505697,256312411,255823241,21286645,256312409,23610513,17298012,17298009,22841284,16618938,16618939,22841288,28011369,36471681,46326976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016663, s2 = 14056918, dlinesl.size( ) = 12 s1 = 15249617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15249617, s2 = 11258922, int(edited[s2]) = 0 s1 = 15249617, s2 = 11258922, d1 = 49, d2 = 24 Dl.O(d1) = 256153294,6215354,9478722,10019278,10019279,14560358,254642156,25990319,19319440,15593554,10787321,10787323,15593535,16419644,14926534,14926532,20824690,16518381,16518380,16518366,16518367,15591943,15591944,10826063,10826062,15367336,15049202,15049201,20958176,21618887,21618886,21143667,20344231,20344230,14936655,10272708,6750930,4230212,254217727,256807477,22093854,15986043,11097705,7359881,4649097,4649098,7359888,9868011,9868010,14361054,14361057,14361202,14361200,9868261,6482429,4062043,4062047,6482440,9868278,9867538,9867536,14360448,20046084,16104186,11186126,7422287,4690388,4690389,7422291,11186136,16104206,22239916,22410843,22410842,260307583,78803053,65473095,53453441,53453442,258457723,92909111 Dl.O(d2) = 92909106,78803048,65473091,65473092,78803017,258457725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318811, s2 = 10984242, int(edited[s2]) = 0 s1 = 11318811, s2 = 10984242, d1 = 62, d2 = 49 Dl.O(d1) = 263017875,136843430,136843431,260492078,123012560 Dl.O(d2) = 268200794,9785757,9785758,14235065,267822610,267880654,12613167,8561585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318811, s2 = 10984242, dlinesl.size( ) = 66 s1 = 12347183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316420, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12347311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12347311, s2 = 10748692, int(edited[s2]) = 0 s1 = 12347311, s2 = 10748692, d1 = 4, d2 = 6 Dl.O(d1) = 30117269,38693563,48609138,41151448,39911508,31235970,23752897,23752896,31235968,39911504,49930035,61409104,63041073,258269776,81199640,67734631,269998465,52643004,42257491,33277791,25517481 Dl.O(d2) = 13476075,13476076,18907708,25517485,33277798,38735607,33277772,25972958,19305877,19305876,25972953,32339974,24723994,24723993,24723955,255226593,12947984,18250929,24723958,32339935,255493260,49860519,49860520,51339968,48656601,48656602,48656655,48610591,38695040,30118596,30118597,38695043,39836074,38694729,30118372,22736705,16530084,11520513,11520512,16530078,22736856,22765514,30153532,38735614,48656544,38735664,30153584,22765565,16552018,11536754,11536753,16552012,22765552,30153574,38735656,41154994,32339967,32339966,39925419,39925417,31349837,31349836,38674740,30118177,30118176,38694470,30118571,23666172,23666173,31153828,38694513,38694512,38695108,48610662,60001615,48610348,48610349,48610581,48610230,38694714,30118358,30118359,30118366,22736702,22736701,16530073,16530072,22736851,30118557,38694994,38695089,48610645,55324493,48656580,38735640,30153559,22765537,16552006,16552004,22765530,24720672,18247457,18247458,24720677,30117992,38694255,48609792,48656597,50050620,50050618,48609943,48609942,50115816,48610557,48610558,49860526,39836732,39836730,38694508,38694507,48609994,42855984,42855985,53318840,60001870,60001872,53318857,42855997,33814658,25997810,19326087,19326088,25997814,33814665,38694980,38694987,38694990,48610541,38695092,38695093,48610651,48656487,48656486,60001217,60001200,60001199,256861004,38735631,48656568,60052998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12347311, s2 = 10748692, dlinesl.size( ) = 2 s1 = 12347311, s2 = 10748692, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12347311, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 10748693, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10764199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10764199, s2 = 11324102, int(edited[s2]) = 0 s1 = 10764199, s2 = 11324102, d1 = 19, d2 = 13 Dl.O(d1) = 264642330,215355536,215355528,264072492,206228358,211251233,215355527,265357719,226203095,265649404,228060049 Dl.O(d2) = 225580153,223339862,223339863,225580154,224070190,224070191,265485432,224070193,221610812,218747208,215355520,211251230,211251231,264579815,264302265,195477081,187456271,187456270,195477079,202336992,264302265,195477081,187456271,273293942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10764199, s2 = 11324102, dlinesl.size( ) = 20 s1 = 10767157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10768882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10768882, s2 = 14155482, int(edited[s2]) = 0 s1 = 10768882, s2 = 14155482, d1 = 8, d2 = 2 Dl.O(d1) = 267548464,246597935,246668777,246735202,246746290,267573376,246535270,275043905,267529031,267506809,245986624,267481683,245630821,245495056,245495050,245495051,245495054 Dl.O(d2) = 245350501,267420889,267385145,244672472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10768882, s2 = 14155482, dlinesl.size( ) = 2 s1 = 10768882, s2 = 14155482, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10768882, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11164159, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164159, s2 = 13367086, int(edited[s2]) = 0 s1 = 11164159, s2 = 13367086, d1 = 103, d2 = 100 Dl.O(d1) = 52674927,52674926,257057426,257465068,71051775,58335831,46967825,255829046,28581662,24712267,18240250,18240251,24712268,32327507 Dl.O(d2) = 57966643,62635833,62635832,75575461,89333539,103426380,270511272,117697647,103562523,89464205,257193080,117697651,259024272,131503728,117697649,117697650,257782604,89464205,75699201,62752180,51121007,40978797,32198971,32198972,268489144,32333537,24717467,24717468,32333539,33273694,33273692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164159, s2 = 13367086, dlinesl.size( ) = 20 s1 = 11227005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11227005, s2 = 10775014, int(edited[s2]) = 0 s1 = 11227005, s2 = 10775014, d1 = 14, d2 = 30 Dl.O(d1) = 90034109,261387369,262426195,179467766 Dl.O(d2) = 274133883,220255933,220255929,217108598,213323299,208699505,208699504,213323297,217108595,220255926,222922538,225220129,222922546,220255938,217108606,213323306,213323307,217108607,220255941,220255943,264640060,213323309,265274957,225220141,227217297,265302240,265302238,220255931,217108599,264640058,274133883,217108602,265073505,265458617,222922540,222922539,225220132,225220136,225220134,225220135,227217295,227217289,265302236,220255923,217108594,217108595,220255926,222922538,225220129,222922546,220255938,217108606,213323305,213323304,217108604,265274955,225220134,225220135,227217295,227217289,265302236,220255923,217108594,217108595,220255926,222922538,225220129,222922546,220255938,217108606,213323305,213323304,217108604,265274955,225220134,225220135,227217294,227217297,265302240,222922548,265483706,222922543,220255935,220255934,222922536,222922543,220255935,217108603,217108604,265274955,225220134,225220135,227217294,227217297,265302240,265302238,222922541,265625231,265483708,265102956,217108596,274313004,218450768,218450766,265146335,223842579,221355014,221355015,221355026,218450768,218450767,221355024,223842596,265677963,223842583,221355016,218450762,214993583,264432317,199423170,192071139,192071140,199423172,205643859,210790125,214993591,265146337,223842597,223842598,223842607,221355032,218450773,214993593,264432318,264931924,225998557,227878963,227878959,225998542,223842580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11227005, s2 = 10775014, dlinesl.size( ) = 20 s1 = 10793565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11211325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211325, s2 = 11137954, int(edited[s2]) = 0 s1 = 11211325, s2 = 11137954, d1 = 13, d2 = 17 Dl.O(d1) = 257509386,33109866 Dl.O(d2) = 18789621,13383047,9147718,9147690,5986235,5986234,5986275,254918915,18789626,13383053,13383054,10030609,10030610,255342841,13427028,13463302,9206862,254651610,1311388,748740,425586,240342,240343,425589,254147371,2259423,3302654,2249420,2249418,254295085,727758,254093073,128982,128981,254093071,727754,727830,414136,414134,727824,1273233,1272953,254112043,414033,254145411,1274817,803047,729437,415369,415370,726293,413594,413593,727042,726596,413246,413245,254093095,254112071,234201,129214,70043,70045,129220,129339,128797,128796,233558,413608,727056,728200,728202,748611,741925,421612,237925,131352,131350,254112795,749664,1310393,254203837,794393,455233,256549,142068,77855,42442,42441,77854,142067,143994,79271,43384,24078,254071617,23142,23143,254070453,7493,7494,13578,254071655,23484,23485,42472,23462,13050,13049,23457,254073639,142109,256594,254153061,2441969,4081040,6512425,9908632,14406108,20093207,26982160,26982186,26982187,35065642,35065641,44439765 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211325, s2 = 11137954, dlinesl.size( ) = 22 s1 = 11324615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324615, s2 = 11455172, int(edited[s2]) = 0 s1 = 11324615, s2 = 11455172, d1 = 21, d2 = 25 Dl.O(d1) = 137399139,260924916,173596282,183390061,262972738,205549188,263754068 Dl.O(d2) = 263383434,191952002,191952003,263754064,214914005,214914002,210703568,205549183,199317490,262517026,183390059,265512843,227829592,227829587,274317532,221289141,265114794,227829590,274545091,227829591,227829592,227829587,274242196,265114794,227829589,229485693,229485692,229485693,229485691,227829588,265656534,274284477,212324534,264539382,186480766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324615, s2 = 11455172, dlinesl.size( ) = 20 s1 = 14036001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14036001, s2 = 8704008, int(edited[s2]) = 0 s1 = 14036001, s2 = 8704008, d1 = 42, d2 = 50 Dl.O(d1) = 17259945,16355899,16355898,15544334,254263782,254263780,15544332,17316339,22013229,21566596,21566597,28838245,22013407,15911893,15911892,22013402,29345420,29347465,29347463,29347457,22015467,15913866,11035384,7310066,7310065,11035388,15913876,20125304,17295322,12174030,254266918,8205256,12172970,17294115,16349378,11376817,11376818,16349381,12211822,12211821,17337781,23631605,31118164,31118168,31118169,31120233,31120231,39800747,38424311,254265890,17337061,12211170,8241969,5313709,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088318,6525023,254182046,20125058,17255081,12135230,8165225,5235030,5235031,8165227,12135234,17255084,23566442,29938995,29938994,23621688,22479335,16308424,11346921,11346922,16308431,14222459,14222460,19851893,17096171,12009445,12009447,17096180,16302006,16302008,22471217,24540009,22389185,22389187,24539994,24539996,32117630,40891527,39828981,31146870,23660095,23660094,31146867,29861210,22498270,16324158,11356839,7545428,4772235,2876598,2876599,4772238,254781747,16324163,22482555,17284088,17284085,16309194,16309196,16309184,16309185,255159624,29342013,22010112,22010113,254836296,29359086,255160144,39746592,39746593,31069959,23586045,23584147,17271614,12150589,12150591,17271625,21081082,15142585,10443698,6884829,6884828,4321911,4321909,4321923,4321922,6884876,10443788,15142748,15917111,11039076,7313500,7313501,11039027,11039025,11046113,10423841,10423842,11046107,11046072,7320733,7320653,7320652,11045916,15923185,22024315,22016295,15914718,11036037,11036036,15914716,11371005,7554281,7554282,11364432,7550235,4774813,2877888,2877889,4774815,7550241,9108015,9108014,13330014,17263323,12142843,254182186,3200182,3200181,2877448,2877447,2881590,2881592,4781873,4781874,5241314,5241311,8172192,12142876,15929744,15929745,12139706,8169288,5238406,5238407,7494236,11287421,11362502,7548998,4774161,2877557,2877552,4774131,7548913,8201557,8226187,12009492,12195931,12195870,12195867,16320708,12212547,11033395,11033398,12143668,8173245,8173250,12143690,11963972,8008716,5098296,5098294,8008702,8008644,7547741,7547745,11360571,16329110,11738547,7837270,4974898,4974900,7551089,8194399,5264262,5264263,8194404,11357201,7545654,7545655,11357206,16324714,22497036,16334729,11365120,8457521,5464767,5464770,8457532,8224327,8224328,12193937,17318689,16332505,11363259,7549514,4774411,4774410,7549509,11363250,16332490,21099999,15156290,15156289,21099996,21612710,15583520,15583518,21612706,22509473,16335844,11365998,11365997,11364520,11364521,10782096,10749651,10749650,12009368,11348269,7547287,4773269,4773268,4772940,2876972,2876973,4772945,7546707,11358890,11737129,11737130,12150975,11365399,7550811,4775151,4775033,2878006,1670331,1670333,2877926,4774889,7550358,7884359,7884356,10960228,15815536,21566065,16336763,11366629,11366630,16336772,15586182,11026957,7301186,7301185,7845459,7845441,7845438,7123892,7123894,10781643,10781332,7123709,7123710,10781335,7551759,4775689,2878366,1670510,950485,536053,300594,166500,166499,300590,536044,950461,1670459,2878276,4775531,7551481,11366449,16336552,17705406,24060282,31565923,24100883,24066436,24066437,24078751,17721651,17721649,14335015,14335013,20015381,254411434,24097273,24097274,24100851,17742308,12553758,8511502,8511501,254279618,17819263,17819264,24187751,31568319,24062649,24062650,254280302,18863351,13440436,13440435,12620312,8566771,8563937,5560652,3445200,2039898,2039899,3445205,5560663,8563958,6016931,6016933,9191291,13441938,18865068,17724404,12539901,12539905,12540535,8501329,5502767,3392212,1999193,1999192,3392210,5502762,8501319,254650234,23040831,16795924,11743850,7840845,4977264,4977266,7840849,11743855,16795934,12540921,8501534,8501535,12540924,11581434,11581435,16469165,16469166,254650284,25463595,267931546,27041998,25130807,18577888,17819255,17819254,16469790,16469787,22664633,27043106,30040649,22665383,268117434,38614650,35128822,30448528,30448527,35129287,35129370,27043104,255086696,17848930,254611964,21134734,15185054,10474320,10474321,15185055,21134735,27043925,27043924,28044398,29313252,37882105,44506670,35130113,27044531,27044530,28156049,20976962,15065610,10389441,10389438,14456320,14456319,20152200,24138713,17774442,17774443,24105020,254529564,26442911,26442912,255902514,31676075,24166833,24166587,17798912,12599326,8550228,5548817,3434415,2031538,2031537,3434428,5548840,8550285,12599419,13202660,18578194,22318439,22318437,17359514,17359510,14126900,14126898,14332344,20012119,26893315,34972363,36734348,28239486,28239485,268085676,19705213,14128951,9720180,9720179,9845650,254504890,255042890,13418041,18832796,18825504,13412772,9170738,9170739,13412774,18825508,25416889,33157819,29668957,22317565,16172349,11239698,7459937,4713843,2839722,1647257,936600,936599,1647253,2839713,4713824,7459912,11238768,11238767,14127095,9719124,9719126,14127120,19702719,17065956,17065955,14331898,9845334,9845335,10899205,15737212,15740098,21800006,21065574,15131448,15131447,254591118,27240741,25427340,18833909,18833911,21795612,15736377,15736375,21795610,29093466,267843558,19704401,18833902,13418868,13418869,18833904,21797275,29094932,37644333,37646197,35364340,27241029,20310328,15131395,15131397,15131632,10436419,6880103,4318678,2582909,1488129,842021,474882,266972,266974,254156907,2582933,4318731,6880223,10436636,254736260,22336678,16188940,11253042,7901398,5022625,3040232,3040236,2614674,2614673,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942956,8116300,8116304,9234638,9259578,7904886,5024799,5024797,5024827,5024828,6905843,4337462,4337461,6905832,9250320,6058231,3790665,3790664,2620194,2620196,4370907,2618573,1511833,857219,857217,1511825,1510819,856758,856759,1510823,2616508,4366782,6942830,6942829,7069308,10700260,13514325,10842532,10842536,9247323,9247320,12492361,12409103,10700632,7069538,7069537,10700626,15474224,15474222,18933554,13498087,13498088,18933562,14448310,9939909,9939911,14448317,17150393,15284729,10550236,6966478,4376676,4376674,6966465,10562215,6974386,4381351,2623888,2623890,4381339,6056835,6052965,6052963,6069403,6069401,9262547,13532450,9262467,9262468,9262501,9262208,9262206,13532163,18967754,17165348,12069120,8115814,8115811,9252399,9252400,13520615,18956942,13641818,9341629,6118907,6118909,9341635,11254491,11254488,12385275,12385277,255568405,28148953,36622748,257412479,70738037,84289670,259042886,125984361,139335809,152042554,263076319 Dl.O(d2) = 266516543,234896454,266232735,231428702,230008593,230008594,231428703,232700500,233849887,233849883,232700487,232700486,232700490,233849878,232700479,231428682,231428681,232700474,233849873,234896450,235530289,234545475,233463718,232272460,230952917,229480867,227824389,225938141,223775790,223775786,223775785,225938136,227824383,265724730,232272455,233463713,234545472,266334920,266429498,233849867,233849869,233463708,232272453,266000174,266232736,233463707,232272452,230952909,229480860,227824379,265205644,218369528,214904783,210694020,205539318,199307547,191941998,183379779,173585300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14036001, s2 = 8704008, dlinesl.size( ) = 36 s1 = 11322421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322421, s2 = 11128088, int(edited[s2]) = 0 s1 = 11322421, s2 = 11128088, d1 = 19, d2 = 11 Dl.O(d1) = 135896878,271608059,93204461,79089362,79089363,93204462,107604902,272051961,112322064,98339334,84429813,70872488,257422457,21193846,15230288,15230289,21193848 Dl.O(d2) = 10506176,6927876,4352290,2606616,1504229,852681,481574,481572,852675,1504215,254223325,1507452,2611126,4358129,6935544,4383194,2625394,2625392,1516029,859544,485272,485273,254158711,2612027,4357399,2610526,2610525,4352008,2606422,2606421,4352007,2609480,2609481,1506705,1506706,2610176,254158765,254158419,483490,272045,272044,483489,856044,1509449,2613974,4361586,2613648,2613647,4361585,6940372,10523603,15253921,15313851,11277990,10523886,6978148,6978149,6930870,4356383,4356384,6933347,10514015,268203651,10521254,10521255,15250820,12335647,12335316,8333195,8333196,12335318,10577373,6977298,4383537,4383536,6977297,10577371,255380568,254720028,15239830,10512971,10512970,15239828,17495226,12335841,8333565,5378589,5378588,8333563,10574874,10574873,8606285,8606286,8615100,8615099,8615078,6940436,4361634,2613680,2613681,4361638,6940446,10523673,8615684,8615685,6937003,4359126,2611844,2611845,4359130,6937009,8333590,5378602,5378601,8333589,12335877,17495390,17904306,15253080,11273464,256946379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322421, s2 = 11128088, dlinesl.size( ) = 2 s1 = 11322421, s2 = 11128088, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11322421, Dl.E( ) = 28, 1.29e-05 seconds used appending s1 = 13301629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13301629, s2 = 11145888, int(edited[s2]) = 0 s1 = 13301629, s2 = 11145888, d1 = 38, d2 = 43 Dl.O(d1) = 855383,483096,483097,855386,1505258,1505259,1515534,2608370,1507802,854963,482856,271703,271704,482859,483131,483129,855443,858891,858892,1515149,2624972,4361672,6940460,6940459,6937720,6937719,10519884,6937683,4359635,2612227,1508222,1508220,2612222,4356389,2610157,1506687,854254,854250,1506678,2610140,4356962,4382124,6928304,6928305,10506797,10575865,268066748,15166921,10459924,254221986,4327984,6894737,10459923,10508681,15233617,10521015,10460096,6894862,4328057,2589208,2589207,4328053,6894852,6427238,4032339,4032340,2552880,1947132,1112322,624169,624164,1112331,1467388,1458743,830249,830246,1467453,2547296,4256126,3721919,2535463,2535462,3309313,3309312,3721819,254480833,254480835,5940482,3714527,3714528,5940485,9082616,13301004,13292639,9075020,9075021,5934776,5934779,9062845,9082062,5940046,3714259,2224149,1290100,736404,736403,1290093,2224121,3714217,4269118,2552402,1470320,1470321,2552412,4269140,5380525,3308588,3308587,2224365,1290216,736476,418652,236311,236310,418644,736464,1290198,2224328,3714610,4234277,254217887,825928,825929,1458919,1461768,2536748,4242785,3714749,2224430,267809525,5940783,9082951,9059362,268021197,10316041,13299079,9080633,9080632,13299078,13301270,255649931,13299082,9080637,5938863,5938862,9069598,6865293,4308676,2576396,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129342,12088564,9784622,6432871,5588653,5588652,6788774,6788777,10319032,10296718,10296720,10334922,6802565,4266077,2550569,2550571,4266094,4227679,2528371,2528369,3723611,5954255,6747054,10267566,13301619,9647455,6343236,3979734,3979736,6343250,6774966,6774964,6801454,5583811,5583813,5583788,5583789,8593766,9647404,9647392,6343198,6343200,4254031,4254030,6785911,8596163,9087033,5944105,5944107,4284763,4284762,6829674,6825898,4282234,4282236,6293366,6293367,8340120,5383122,5383119,8340112,8127636,8127635,255153397,15527370,10738959,7095372,7095374,10738964,10516017,10516016,10519551,10519550,15248593,17904342,17904341,15316440,10578570,10578569,15102698,15102699,21026768,21226616,17905119,17905120,17904428,12683887,12683888,10521845,6939086,4360614,2612913,1508682,1508681,2612907,4360605,268203881,152315360,164198076,175013202,263486133 Dl.O(d2) = 137306138,259784014,26959834,26959833,35039613,44413872,256428216,20230579,20230578,27137368,35232034,44613281,255236136,46582111,36695611,28889990,28889989,21690978,15651102,15651107,19452032,19452033,26150416,22115321,16002655,11109762,7368349,7368350,11109764,16002659,21690793,28973116,37516731,256370142,70895892,259904745,112344179,98361885,269800172,22176989,255077609,7392493,4670372,4670371,7392489,11145324,13506588,18943133,15486232,10708946,7074853,7074854,10708951,15486203,15486200,21492080,28751674,26580682,19777684,19777682,20898810,19777868,14166379,14166380,19777874,19777741,14166290,9739166,6404279,4018038,4018039,6404284,9739179,14166317,17084826,17084825,268378834,10974890,15217243,10496865,10496866,15217248,15220428,21181321,28402025,36892598,28405836,27937659,27937660,32381717,32381718,268215892,21841047,21841046,15778187,10929668,254162432,21847647,29150405,29144254,29144255,29157395,29157394,37702611,29141728,21833995,255057212,10922740,10922739,15770422,15777753,15777754,21848385,29144824,29144825,254342682,21835404,15766334,15766335,15767192,10919821,10919822,10923344,15768769,10921125,7223025,4551094,254162482,10921111,15768748,19092004,25722875,26335946,26335944,34209794,34210510,34210509,254821054,19608035,19608034,24905369,18401454,13070463,13070464,255632263,22064606,22064607,26336226,262547445,182781513,191433482,195171736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13301629, s2 = 11145888, dlinesl.size( ) = 44 s1 = 11275121, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11275121, s2 = 11520134, int(edited[s2]) = 0 s1 = 11275121, s2 = 11520134, d1 = 23, d2 = 21 Dl.O(d1) = 260552743,140271573,152962004 Dl.O(d2) = 263873587,264481669,264972823,221835821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11275121, s2 = 11520134, dlinesl.size( ) = 30 s1 = 12348151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10830097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098479, s2 = 11424136, int(edited[s2]) = 0 s1 = 11098479, s2 = 11424136, d1 = 80, d2 = 59 Dl.O(d1) = 258052085,47041172,39199621,30603170,23184322,23184321,30603169,39199620,37150831,28635798,21396029,15410426,10651968,10651967,15410424,21396026,28635793,37150824,256365350,21231585,255167440,10529995,14526058,17165875,17151972,15280131,15280132,21246397,28467802,21255084,15290453,10555506,8104010,8104011,8112439,5197357,3171005,3171007,5197335,6961645,6961646,5403077 Dl.O(d2) = 44497595,269638201,123654099 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14934966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14934966, s2 = 11103536, int(edited[s2]) = 0 s1 = 14934966, s2 = 11103536, d1 = 43, d2 = 50 Dl.O(d1) = 87948619,100423544,261216613 Dl.O(d2) = 86466900,259107790,22843276,28086374,36555396,37168806,46738976,47666988,43317004,34219415,34219416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14934966, s2 = 11103536, dlinesl.size( ) = 40 s1 = 11203865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10839990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10839990, s2 = 11120874, int(edited[s2]) = 0 s1 = 10839990, s2 = 11120874, d1 = 37, d2 = 44 Dl.O(d1) = 255997123,263226709 Dl.O(d2) = 202132472,272167300,101945056,87972763,255799740,23924479,17583374,12410984,8388166,8388167,12410987,17583380,22950886,16714078,267983801,2975014,2975012,2975314,1726758,981688,981690,1726767,1727138,981868,552849,552848,981863,1727127,982875,982878,1728993,1727753,982176,982174,1727744,254369203,4932096,254247029,981681,981680,1726744,981740,981739,984171,554044,310020,310019,554043,984093,554006,254087323,171458,309999,554012,984106,1731121,2982165,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,4940633,2981377,2981380,4940599,2981357,1730654,983851,553867,553868,983819,1730589,2981219,4935698,2982568,1731384,984282,984283,1731390,2982578,4942410,7794676,11677904,7786404,4936228,2978438,1728825,1728826,2978443,4936235,7786416,11677921,7794007,7794006,11687465,11687652,11685097,7794798,7794800,4942520,4942521,3081126,3081125,5079926,7981813,7440176,4701228,4701229,7440181,7791659,254572682,16718711,11677065,8162671,8162672,7791714,4940264,2981153,1730560,1730559,2981147,3052618,5041838,7787947,11679500,10479291,10479288,11931492,7984525,5081681,3082081,3082084,5081689,7984542,11931512,17015974,16981136,254817471,7953658,11894625,16981137,16968579,11880586,11880585,11912288,7968373,7968375,7957934,5061684,3066652,1787590,1787589,3066650,5061682,6427940,6427939,5048686,5048684,254570220,6889252,6889253,10450739,15153514,21096158,23275186,17015864,17011111,17011110,11928216,11928217,10879563,7192868,7192867,10879562,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1578475,1578474,2723924,4531485,7193015,10879799,15716603,17275280,23587178,17523258,12357814,8349605,5389124,5389123,8349603,11905281,11901540,11901539,12362428,12362427,17271303,12150135,12150136,254256024,5072104,3075280,3075279,3314862,1950039,1950042,3314877,1950266,1114159,625254,347411,190501,190502,190488,190487,347389,625209,1114071,1950115,3315003,5390959,8352251,12361310,17527556,256523709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10839990, s2 = 11120874, dlinesl.size( ) = 40 s1 = 11567975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10870527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10873714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10873714, s2 = 10873669, int(edited[s2]) = 0 s1 = 10873714, s2 = 10873669, d1 = 30, d2 = 1 Dl.O(d1) = 142878442,155459871,167098026,167098029,158675340,158675339,170032602,158675341,146307673,133080376,133080375,146307667,272976797,158675345,158675342,146307675,133080378,119250624,105058123,90879384,77001216,77001217,90879386,90879406,105058114,105058121,90879382,77001214,63891019,52073492,268665956,25136251,25136252,32841163,32841183,25136267,25136266,256621607,52073511,63891043,259006461,77001227,63891035,269068821,256107039,25136256,25136255 Dl.O(d2) = 41760758,52073497,63891026,63891039,63891040,77001221,90879389,258847952,63891022,52073495,268999599,17650068,13193640,8994298,5872229,5872228,254907405,18566354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10873714, s2 = 10873669, dlinesl.size( ) = 28 s1 = 14027517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10879918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647191, s2 = 10881137, int(edited[s2]) = 0 s1 = 11647191, s2 = 10881137, d1 = 29, d2 = 34 Dl.O(d1) = 31605087,40288873,257672465,40288872,40288873,257672465,257089357,257672463,74575123,88190883 Dl.O(d2) = 261287935,115878642,259184478,257935142,61475034,256241350,31305655,31305654,39980743,39980745,49997405,61475040,74253178,74253168,61475042,49997407,39980746,31305656,23818498,23818497,31305654,39980743,39980745,49997405,61475040,257935144,74253177,61475045,61475044,74253180,74253173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647191, s2 = 10881137, dlinesl.size( ) = 36 s1 = 11213703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213703, s2 = 14104340, int(edited[s2]) = 0 s1 = 11213703, s2 = 14104340, d1 = 22, d2 = 50 Dl.O(d1) = 258362904,113665138,262226947,262435140,263238360,261287804,126208859,112348549,271765279,84456691,259905023,262157729,175010827,184611000,263846447,206257671,264954415,221632849,220602473 Dl.O(d2) = 261434712,194618941,189757178,180861731,180861730,189757176,262930078,273234846,197425847,203954555,209400611,203954568,197425860,189757189,189757188,262469850,207473662,201598892,194618940,194618939,189757182,261434704,262469852,146985284,133722362,133722363,146985286,159368888,170719755,261434710,189757184,260270296,260270298,177117892,166540098,166540099,177117894,186468924,194618945,194618949,194618948,261970630,262469856,261434712,194618941,189757178,180861731,180861730,189757170,180861723,170719748,159368884,159368883,170719746,180861719,189757165,197425841,260866230,261434708,203954558,203954559,207473662,201598892,201598893,197425837,189757162,180861716,272984962,170719768,260866234,186468926,259026004,166540100,177117895,186468928,260270296,260270298,177117892,166540098,166540099,177117894,186468924,194618945,194618949,194618948,261970630,207473663,201598897,194618943,194618942,201598895,197425850,262930078,273234846,197425847,203954555,209400611,203954568,197425860,189757189,180861749,180861748,189757179,261970628,201598904,194618952,186468933,186468932,194618950,194618953,186468933,177117897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213703, s2 = 14104340, dlinesl.size( ) = 44 s1 = 15157486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157486, s2 = 14014570, int(edited[s2]) = 0 s1 = 15157486, s2 = 14014570, d1 = 12, d2 = 8 Dl.O(d1) = 44531356,269639019,67717383,81182253,95237408,109490319,123681683,137412314,262089709,162579116,173608449,263438717,194033719,185798542,176357009,165691609,262654064,261651536,260278200,71829121,257792242,29207214,21893774,15815960,15815961,15815825,15815826,21893610,29207039,36381514,30003571,22633987,16446389,16446388,21179289,28399734,28404770,36902148,256596527,12994395,8846604,8846605,12994398,13902607,9540747,6259216,3918445,2345574,2345575,3918450,6259228,9540775,12700536,17924989,24309636,25489672,33239284,36629308,28155315,20976362,15065113,15065112,19470953,13935553,13935552,19470951,24549292,18113341,18113342,24549296,32129399,26171969,26171968,34013792,255061130,31841492,24321932,17934697,12707962,12707963,11123051,7377673,7377674,5868278,3664005,3664006,3487998,2071654,1189899,1189898,2071648,3487983,5615028,8634255,12708109,17934759,24322001,31841556,26999543,20109341,14420209,9918698,6993894,4395350,2633920,2633918,4395344,5657533,5367862,3300091,1941015,1941014,3300083,5367847,8318499,9917281,6993667,6993666,4396606,4396607,6995970,9936215,14416706,15349411,19186006,13701883,13701882,15442822,11237282,7458225,4712776,4712777,7458228,6520314,254316193,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290 Dl.O(d2) = 4398203,4398204,6569620,9996144,13738645,18047475,18090855,12825805,10638023,7022682,4416666,2649032,1531529,868965,868964,1531526,2649028,4416658,5661582,7058723,9412216,6518584,4398673,3856472,2310457,2310456,3856467,4085021,3924340,3734589,3734590,2311760,2311761,3858821,3734235,2235752,2235753,2310409,3856368,3733352,3733353,5969824,8960780,9165195,13405571,15440907,18753889,13353298,9125347,9125346,13353297,13353289,12894905,8770785,8769296,5710544,3554341,3554340,5710543,7022659,7058934,10685608,15416797,10656989,7037419,4428031,4121857,2465933,1425433,1425437,2465927,2657503,267786342,1538054,1538052,2658243,4428944,7038642,10658596,15418827,21406735,28649039,30998186,29975997,29975998,38544238,48455653,59845507,60995443,49612069,49612070,59845413,270333045,71153311,58432034,47057261,37165910,28648990,21406708,15418809,254984572,7038639,255034207,255832697,37165920,28649009,256323279,257870797,43523531,39549352,30932861,23491638,17205971,17205967,23491622,30932721,30933043,30932628,23493277,23493275,23497417,17216423,17216421,23511502,30969878,39613891,34514447,26548678,19758764,14155295,14155297,19748267,14150689,14150690,14147438,9729614,9729616,14147546,19741694,26513911,34448668,34491217,43715973,47219112,49679504,55089638,49472521,45186431,45186434,50561851,40525548,40525551,44075955,54878698,64077609,66365421,79766890,79766877,77220622,64078046,52232549,52232551,64078053,71029248,84593754,98519120,112514219,260413528,93969088,84539631,259291775,98653078,259175034,269651626,37165968,37165969,256263448,49629030,49629031,39641845,35472665,27328932,27328934,27329105,20381482,20381484,27329208,34552255,26816847,19953571,19953574,19955008,14289170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157486, s2 = 14014570, dlinesl.size( ) = 16 s1 = 10943613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6502583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13171252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13171252, s2 = 11796601, int(edited[s2]) = 0 s1 = 13171252, s2 = 11796601, d1 = 10, d2 = 8 Dl.O(d1) = 6275064,3929121,2352258,1362604,1362601,1341737 Dl.O(d2) = 1362538,1362534,1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,1341718,766220,766226,756115,756113,1324864,254094024,6094078,9303083,13586631,9415467,9415466,13742362,13689552,9375248,6141653,6141652,9375247,9416493,9416492,13743843,19236941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13171252, s2 = 11796601, dlinesl.size( ) = 2 s1 = 13171252, s2 = 11796601, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13171252, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11796602, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15286683, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13177714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12568292, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12568308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13189680, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13206836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13206836, s2 = 6854988, int(edited[s2]) = 0 s1 = 13206836, s2 = 6854988, d1 = 1, d2 = 6 Dl.O(d1) = 89436765 Dl.O(d2) = 259311552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13206836, s2 = 6854988, dlinesl.size( ) = 2 s1 = 13206836, s2 = 6854988, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13206836, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 13208006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13208006, s2 = 7822647, int(edited[s2]) = 0 s1 = 13208006, s2 = 7822647, d1 = 8, d2 = 15 Dl.O(d1) = 9324898,6108191,3821865,2289796,1328541,758504,758503,1328535,1362507 Dl.O(d2) = 1341718,1341720,1362538,1362534,1341718,1341720,1362538,1362534,2312828,2321666,2321667,3807036,6084317,254206814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13208006, s2 = 7822647, dlinesl.size( ) = 2 s1 = 13208006, s2 = 7822647, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13208006, Dl.E( ) = 16, 6.91e-06 seconds used appending s1 = 7822646, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13246270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13246270, s2 = 6991310, int(edited[s2]) = 0 s1 = 13246270, s2 = 6991310, d1 = 48, d2 = 24 Dl.O(d1) = 256096800,32206027,24615759,24615758 Dl.O(d2) = 261079188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13246270, s2 = 6991310, dlinesl.size( ) = 2 s1 = 13246270, s2 = 6991310, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13246270, Dl.E( ) = 62, 2.41e-05 seconds used appending s1 = 13314703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13209376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13209376, s2 = 11651688, int(edited[s2]) = 0 s1 = 13209376, s2 = 11651688, d1 = 98, d2 = 102 Dl.O(d1) = 255709437,13970299,9593103,6297996,3945450,2362153,1367794,779070,441961 Dl.O(d2) = 266556210,234407792,274235898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13209376, s2 = 11651688, dlinesl.size( ) = 30 s1 = 13259544, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13292524, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13303898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13303898, s2 = 13332711, int(edited[s2]) = 0 s1 = 13303898, s2 = 13332711, d1 = 0, d2 = 10 Dl.O(d1) = 28664500 Dl.O(d2) = 10665629,15428144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13303898, s2 = 13332711, dlinesl.size( ) = 2 s1 = 13303898, s2 = 13332711, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13303898, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14062306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14880197, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13329838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12350073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14513596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13381546, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13406080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12350799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13610210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13610210, s2 = 9808528, int(edited[s2]) = 0 s1 = 13610210, s2 = 9808528, d1 = 46, d2 = 43 Dl.O(d1) = 109532976,123724888 Dl.O(d2) = 257765270,39069536,30477100,23066659,23066660,30477104,25241679,18671965,18671966,25241682,32963184,32963200,32963198,29996855,22628030,22628029,256423177,48480703,59872369,58044595,46669132,36782447,28285695,28285696,36782450,30301503,30301504,38887422,48809845,46821198,46821196,58187437,66904671,66905010,72610545,66905014,268608858,256306386,25241674,18671962,18671961,25241671,29645784,22293803,22293802,25241687,29996849,29996848,38567319,48480699,48086876,38174566,29607589,22257206,16117902,11195982,11195983,16117906,268402213,38174572,48086877,59476957,60206983,60206982,66904770,59476944,48086861,48086862,52237636,41901594,257178749,43905837,43905836,54648144,257886455,38174538,38174539,38174530,38174531,41901592,41901591,52237628,54648314,54648315,66904897,59476953,48086870,48086871,54648113,54648114,65783738,257260561,38174557,268942663,34633152,26642534,19829601,268330143,256724463,43906020,38174536,29607569,22257190,22257191,29607573,38174548,48086836,48086837,48086866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13610210, s2 = 9808528, dlinesl.size( ) = 2 s1 = 13610210, s2 = 9808528, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13610210, Dl.E( ) = 58, 1.69e-05 seconds used appending s1 = 13715828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13715828, s2 = 2654854, int(edited[s2]) = 0 s1 = 13715828, s2 = 2654854, d1 = 17, d2 = 1 Dl.O(d1) = 192078681,272367108 Dl.O(d2) = 74836139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13715828, s2 = 2654854, dlinesl.size( ) = 2 s1 = 13715828, s2 = 2654854, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13715828, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 13735182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12352833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13817934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14123953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13924766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12104291, s2 = 13994671, int(edited[s2]) = 0 s1 = 12104291, s2 = 13994671, d1 = 1, d2 = 1 Dl.O(d1) = 6011554,8777845,8917551,6011598,3826856,3826859,6116409,9337841,13636676,19100122,25732620,33511773,42511274,52921116,258094605,47674232,37751843,29190364,21878529,21878528,23719044,31206013,39885291,257639813,61386430,74166974,87771589,101744530,115790153,129687626,127270797,113412417,99411245 Dl.O(d2) = 6011554,8777845,8917551,6011598,3826856,3826859,6116409,9337841,13636676,19100122,25732620,33511773,42511274,52921116,258094605,47674232,37751843,29190364,21878529,21878528,23719044,31206013,39885291,257639813,61386430,74166974,87771589,101744530,115790153,129687626,127270797,113412417,99411245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12104291, s2 = 13994671, dlinesl.size( ) = 2 s1 = 12104291, s2 = 13994671, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12104291, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15255556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14018448, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14018448, s2 = 14305405, int(edited[s2]) = 0 s1 = 14018448, s2 = 14305405, d1 = 2, d2 = 7 Dl.O(d1) = 522091,522093 Dl.O(d2) = 292703,292705,522222,926206,1628845,2801405,4650843,254523319,11102840,11374918,11120907,11120908,11102849,7363021,4650853,4650852,3366911,1980917,1980918,3366913,254603131,12494569,11125828,11125827,8462873,5468653,5468654,3363323,1977627,1977628,1131404,634532,352136,352135,634527,1131393,1981097,3367197,3363458,3363456,5468863,8463090,8465224,8465225,8466406,5472309,3367103,3367100,5472300,5469386,5469389,5471020,5471019,8465254,8465222,8465221,5472508,5472166,3366939,1981030,1981028,3367085,5471012,5471011,8465245,12494656,8463046,5472932,5471067,3365764,1979902,1979903,3365770,3367054,1981007,1131359,634512,352129,192848,105223,105224,192853,352143,634548,1131363,1131364,1981015,3367067,5472269,8463720,5469483,3364105,3364106,5469521,8463725,8463726,8465216,12495435,12495341,8463642,8463643,8466354,8463706,5469467,3364066,1978266,1129374,1129375,254273911,5469469,5469450,3364050,1978258,1978259,3362792,3362793,3365618,3365619,5470945,3368016,3368017,5468814,3365647,1979791,1130496,1130495,1979786,1131564,634618,634619,1131543,1129737,633494,633496,634050,351883,192728,105170,105171,192732,351893,634069,1129038,633101,351397,351398,633106,634798,633090,633089,1129023,1128900,1128902,1977551,2976144,3363216,3363625,5469073,3367709,3367710,3363155,3363154,1979798,1130501,633972,633971,1130499,1979796,1980052,1978990,1129894,1129893,1130072,633677,351686,351688,633686,1130088,1131666,634684,352211,352212,634687,1129554,633397,351552,351553,633400,633812,351758,192678,105146,105147,192681,351776,352269,352268,633338,1129463,1978395,1980755,1131185,634420,634360,634359,1131117,1129569,633405,352054,351529,351528,633350,633233,633234,1129274,1978137,1981625,1978319,1978321,1981503,1979162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14018448, s2 = 14305405, dlinesl.size( ) = 2 s1 = 14018448, s2 = 14305405, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14018448, Dl.E( ) = 8, 9.06e-06 seconds used appending s1 = 14305406, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14850518, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14030972, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12354933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13253345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13253345, s2 = 15315610, int(edited[s2]) = 0 s1 = 13253345, s2 = 15315610, d1 = 0, d2 = 0 Dl.O(d1) = 17868465,12653597,12653596,17868463,24244708,256005830,255167042,21089706,267880530,10447986,254720542,254828337,8107325,12058030,17154592,17154591,23431150,17154597,17154598,23431156,30861451,39465648,39465644,30861449,30861448,39465643,49394159,60794837,73542039,73542140,60794951,60794952,258843985,101158460,87160554,73542135,60794944,60794943,258843981,99352386,99352385,99352383,85409173,85409174,99352384,113354060,127212262,116094939,116094940,130003950,116094942,102038102,88053783,74442043,257055282,92426969 Dl.O(d2) = 17868465,12653597,12653596,17868463,24244708,256005830,255167042,21089706,267880530,10447986,254720542,254828337,8107325,12058030,17154592,17154591,23431150,17154597,17154598,23431156,30861451,39465648,39465644,30861449,30861448,39465643,49394159,60794837,73542039,73542140,60794951,60794952,258843985,101158460,87160554,73542135,60794944,60794943,258843981,99352386,99352385,99352383,85409173,85409174,99352384,113354060,127212262,116094939,116094940,130003950,116094942,102038102,88053783,74442043,257055282,92426969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13253345, s2 = 15315610, dlinesl.size( ) = 2 s1 = 13253345, s2 = 15315610, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13253345, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 15276689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16392071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16392071, s2 = 15997992, int(edited[s2]) = 0 s1 = 16392071, s2 = 15997992, d1 = 6, d2 = 6 Dl.O(d1) = 126379593,112508262,98524935,84600066,71035816,58320162,46953070,37073037,37073036,37073054,28570168,21342335,21342334,28570167,37073051,46953089,58308254,46941835,37062859,37062860,40414999,50449322,40414939,40414938,50449321,40414962,31723080,24216002,17845609,12637350,8580240,8580241,12637351,17845611,24216006,31723048,40414906,50449273,50449309,50449260,40414927,256042767,17845602,17845599,256042765,40414916,50449286,61940656,74735056,88363764,102360480,88363783,88363784,102360508,116453520,116453521,116453545,130290720,120311632,106111553,91916540,77992187,258312416,52878789,52878808,42475058,42475059,52878807,42475055,33481696,25708135,25708134,25708141,256664003,52878820,50479951,50479950,52878818,42475067,42475066,50397763,50397764,47530793,47530794,40379413,31685632,24177012,24177011,22835188,16614089,13543172,9271436,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760134,1331169,2294319,3829540,6120806,9344781,13646793,13657060,13630759,13630758,13636697,19011706,13638660,9339393,9339395,13638668,13625717,9330257,6111649,3823997,3823998,6111655,9330272,9303758,6094522,6094523,9303763,13587601,13616440,9323657,9323656,13587552,9303725,6094508,3813143,3813144,6094513,9303738,9304401,6094853,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,19073241,25698933,256373683,47809705,257497337,256374713,268219193,11025143,7299484,4604176,4604175,7299507,11025185,268718086,30169206,22780231,16564853,16564855,19821842,14198825,14198826,19821844,26386597,23130244,23130245,24216874,26316574,23627190,23627191,31113798,39794382,49815100,58726987,47338475,47338474,255044832,37430666,47338653,58726994,47338482,37430480,37430479,47338479,58726993,71457263,256340380,58727154,58727153,71457402,85029425,257462106,107416430,98954336,85029301,258462946,52756797,52756796,64671916,58242640,58242639,70959284,64671917,52756799,42357252,33368307,33368308,30839791,23410171,19138022,13665570,13665572,19138024,19100200,19100198,17136584,12043105,9339595,9339596,13638894,10939960,10939959,13654038,9349880,9349878,9346154,6121703,6121704,9346160,9277619,6077084,3831718,3831717,3978439,3978438,6341295,9329327,9329329,6124272,6124270,9350033,13654298,14030463,9645858,9645860,14030471,19003984,13611397,9320328,9298516,6091245,3811181,2282971,2282974,3811186,2290918,2290916,3823841,6105040,3819891,3819804,2288495,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760132,760129,1331153,2294280,3829458,6120666,6094717,6094718,6113807,6113810,8611985,12680135,9336548,9336551,13634819,16384867,13646433,9344486,9344489,6123604,6123603,8565501,5561745,3473845,3473846,5597345,8611969,12680098,13566979,9288976,9288977,6464645,6464647,9842947,14328506,11464912,11464910,16454746,22645080,16468623,11474511,7632109,4828562,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,15201959,15201940,15201939,21157649,25134658,18580899,17446162,12297809,12297810,16264539,19144321,13669614,9360857,9360856,13669612,19114363,13646817,13646816,19114361,25134880,25134882,25620060,19005793,19005794,256141353,25135963,25135964,31754688,24242957,24242956,31754686,38350060,31753664,25591694,25591695,31481358,28501697,25625239,25591676,23888347,23888350,19077671,19077672,25276483,25276482,21763387,21763386,20285068,20285067,27213542,35337702,37545707,37545706,37608275,29059231,21763805,21763804,29059230,37608274,47512932,58892613,71612378,60579079,60579078,49179341,39253552,30657088,23235673,23235674,25117738,18566901,18566902,25117740,25731739,19099311,19099310,25731737,33510862,42510352,268679884,73322809,60579070,60579071,60579077,49179337,257567792,22851128,16626316,11597348,7720015,4886293,267896013,255117451,22851133,23235668,23235667,29137741,22851130,16626313,11597345,11597346,11875122,7938290,5048354,5048355,7938292,11875126,16963225,17020333,23278850,30693898,38828674,39291293,39291292,30693895 Dl.O(d2) = 126379593,112508262,98524935,84600066,71035816,58320162,46953070,37073037,37073036,37073054,28570168,21342335,21342334,28570167,37073051,46953089,58308254,46941835,37062859,37062860,40414999,50449322,40414939,40414938,50449321,40414962,31723080,24216002,17845609,12637350,8580240,8580241,12637351,17845611,24216006,31723048,40414906,50449273,50449309,50449260,40414927,256042767,17845602,17845599,256042765,40414916,50449286,61940656,74735056,88363764,102360480,88363783,88363784,102360508,116453520,116453521,116453545,130290720,120311632,106111553,91916540,77992187,258312416,52878789,52878808,42475058,42475059,52878807,42475055,33481696,25708135,25708134,25708141,256664003,52878820,50479951,50479950,52878818,42475067,42475066,50397763,50397764,47530793,47530794,40379413,31685632,24177012,24177011,22835188,16614089,13543172,9271436,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760138,760134,1331169,2294319,3829540,6120806,9344781,13646793,13657060,13630759,13630758,13636697,19011706,13638660,9339393,9339395,13638668,13625717,9330257,6111649,3823997,3823998,6111655,9330272,9303758,6094522,6094523,9303763,13587601,13616440,9323657,9323656,13587552,9303725,6094508,3813143,3813144,6094513,9303738,9304401,6094853,3813304,2284254,2284255,3813314,6094892,9304469,13588069,9304238,7507882,6124565,3831979,2295863,2295868,3832003,6124603,9350506,8360941,6084061,6084062,9287414,12372906,9171571,6002907,6002906,9171502,9171504,12619403,16725657,16725653,19081314,25656413,25698923,19073237,19073241,25698933,256373683,47809705,257497337,256374713,268219193,11025143,7299484,4604176,4604175,7299507,11025185,268718086,30169206,22780231,16564853,16564855,19821842,14198825,14198826,19821844,26386597,23130244,23130245,24216874,26316574,23627190,23627191,31113798,39794382,49815100,58726987,47338475,47338474,255044832,37430666,47338653,58726994,47338482,37430480,37430479,47338479,58726993,71457263,256340380,58727154,58727153,71457402,85029425,257462106,107416430,98954336,85029301,258462946,52756797,52756796,64671916,58242640,58242639,70959284,64671917,52756799,42357252,33368307,33368308,30839791,23410171,19138022,13665570,13665572,19138024,19100200,19100198,17136584,12043105,9339595,9339596,13638894,10939960,10939959,13654038,9349880,9349878,9346154,6121703,6121704,9346160,9277619,6077084,3831718,3831717,3978439,3978438,6341295,9329327,9329329,6124272,6124270,9350033,13654298,14030463,9645858,9645860,14030471,19003984,13611397,9320328,9298516,6091245,3811181,2282971,2282974,3811186,2290918,2290916,3823841,6105040,3819891,3819804,2288495,2288497,3819845,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074469,6912643,6912644,4882182,4882178,7713775,9271432,9304643,9304642,6095014,6095018,9304692,9344737,6120781,3829526,2294312,1331168,760132,760129,1331153,2294280,3829458,6120666,6094717,6094718,6113807,6113810,8611985,12680135,9336548,9336551,13634819,16384867,13646433,9344486,9344489,6123604,6123603,8565501,5561745,3473845,3473846,5597345,8611969,12680098,13566979,9288976,9288977,6464645,6464647,9842947,14328506,11464912,11464910,16454746,22645080,16468623,11474511,7632109,4828562,2909725,1688034,1688032,2909716,4828544,7632077,11474445,16202397,11263097,11263098,13588489,9304344,9304345,13588512,19036551,25625343,25625341,23888664,23888662,25655543,25726030,19124697,13654872,13654870,19124691,19041231,13592319,9307007,9307009,13592328,15201961,15201959,15201940,15201939,21157649,25134658,18580899,17446162,12297809,12297810,16264539,19144321,13669614,9360857,9360856,13669612,19114363,13646817,13646816,19114361,25134880,25134882,25620060,19005793,19005794,256141353,25135963,25135964,31754688,24242957,24242956,31754686,38350060,31753664,25591694,25591695,31481358,28501697,25625239,25591676,23888347,23888350,19077671,19077672,25276483,25276482,21763387,21763386,20285068,20285067,27213542,35337702,37545707,37545706,37608275,29059231,21763805,21763804,29059230,37608274,47512932,58892613,71612378,60579079,60579078,49179341,39253552,30657088,23235673,23235674,25117738,18566901,18566902,25117740,25731739,19099311,19099310,25731737,33510862,42510352,268679884,73322809,60579070,60579071,60579077,49179337,257567792,22851128,16626316,11597348,7720015,4886293,267896013,255117451,22851133,23235668,23235667,29137741,22851130,16626313,11597345,11597346,11875122,7938290,5048354,5048355,7938292,11875126,16963225,17020333,23278850,30693898,38828674,39291293,39291292,30693895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16392071, s2 = 15997992, dlinesl.size( ) = 2 s1 = 16392071, s2 = 15997992, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16392071, Dl.E( ) = 8, 7.87e-06 seconds used appending s1 = 14084320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11231123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11231123, s2 = 10631913, int(edited[s2]) = 0 s1 = 11231123, s2 = 10631913, d1 = 3, d2 = 35 Dl.O(d1) = 91849711,106048378,120254206,134090053 Dl.O(d2) = 139680344,126308326,126308325,139680351,152402895,164276720,263982494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11231123, s2 = 10631913, dlinesl.size( ) = 30 s1 = 14102946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303031, s2 = 11285128, int(edited[s2]) = 0 s1 = 11303031, s2 = 11285128, d1 = 12, d2 = 34 Dl.O(d1) = 126712644 Dl.O(d2) = 125518235,111711055,111711056,125518237,125518243,138851108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303031, s2 = 11285128, dlinesl.size( ) = 16 s1 = 11323449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323449, s2 = 12656439, int(edited[s2]) = 0 s1 = 11323449, s2 = 12656439, d1 = 7, d2 = 7 Dl.O(d1) = 261536481,162114069,168363037,273193083,156900592,262395771,261791006,115025048,115025049,261174375,113833010,113833011,127702333,127411155,113540821,271334323,85778658,85778657,99529467,99529466,99529473,85582566,71995834,71995835,85582568,72258880,72258879,85849921,259996267,113540832,127411152,261154841,127411161,113540847,99529495,85582588,85582587,99529494,113540833,113540834,262184188,114817760,100765719,86784939,73172417,60425625,60425626,73172419,86784943,259317932,99393664,85452821,71867786 Dl.O(d2) = 261536481,162114069,168363037,273193083,156900592,262395771,261791006,115025048,115025049,261174375,113833010,113833011,127702333,127411155,113540821,271334323,85778658,85778657,99529467,99529466,99529473,85582566,71995834,71995835,85582568,72258880,72258879,85849921,259996267,113540832,127411152,261154841,127411161,113540847,99529495,85582588,85582587,99529494,113540833,113540834,262184188,114817760,100765719,86784939,73172417,60425625,60425626,73172419,86784943,259317932,99393664,85452821,71867786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323449, s2 = 12656439, dlinesl.size( ) = 2 s1 = 11323449, s2 = 12656439, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11323449, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14223354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14223354, s2 = 14187050, int(edited[s2]) = 0 s1 = 14223354, s2 = 14187050, d1 = 92, d2 = 48 Dl.O(d1) = 192363107,199660246,263664146,196731505,196731506,203374175,263664142,196731504,188970843,180013673,169837037 Dl.O(d2) = 2082192,2082197,2082236,3503093,5636625,8664357,10676615,7052070,7052072,9551787,6267470,3924196,3924193,6267476,9551796,13916778,15435623,15435624,19447609,19447610,254664402,24433329,267863982,40737390,31999457,24469645,255213797,12795522,8959407,5847986,5847987,8959409,13145537,18502715,15376107,15376104,18133459,12858299,8744108,8744107,12858297,15429591,10666721,10666720,8667328,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672194,3528164,2099772,1208929,1208927,2099778,3528182,3883461,2325435,1348033,769213,437238,437234,769228,1348068,2325512,3883608,6204749,9463010,13799480,15844906,15418550,10658419,10658420,8646099,5623412,3493728,3493724,3734032,5970953,9124827,13352779,13962155,19506486,18753485,18753483,25332776,33061834,33061836,42005540,269983191,258759870,119723625,133597718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14223354, s2 = 14187050, dlinesl.size( ) = 2 s1 = 14223354, s2 = 14187050, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14223354, Dl.E( ) = 114, 3.72e-05 seconds used appending s1 = 8410884, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111762, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14111762, s2 = 13708251, int(edited[s2]) = 0 s1 = 14111762, s2 = 13708251, d1 = 1, d2 = 28 Dl.O(d1) = 154138234 Dl.O(d2) = 176552826,185978782,194196286,185978780,176552825,165902049,154138230,262261641,154138228,165902045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14111762, s2 = 13708251, dlinesl.size( ) = 40 s1 = 12358205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12579014, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14285838, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11568699, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14212224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11598207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11598207, s2 = 7598987, int(edited[s2]) = 0 s1 = 11598207, s2 = 7598987, d1 = 33, d2 = 39 Dl.O(d1) = 266994559,241796582,267101067 Dl.O(d2) = 268933536,32218696,33767823,32218679,32218680,41005454,51154789,48292452,48292451,59679409,72414574,72950290,60211363,48815478,255784086,24063490,17708198,254865091,8487953,12526191,17708195,24063483,31568994,37220076,37220075,41005469,51154800,41005486,32218717,24625325,18173008,12888096,257286981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11598207, s2 = 7598987, dlinesl.size( ) = 22 s1 = 14156704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14156704, s2 = 10540449, int(edited[s2]) = 0 s1 = 14156704, s2 = 10540449, d1 = 25, d2 = 14 Dl.O(d1) = 246745600,275053601,246455909,267534318,246372243,246283656,246189121,267512772,246455912,267544018,246679826,275047818,246679831,246609889,267534320,246455908,267544014,246679834,246679827,246609888,246534802,246455907,246455906,246455914,246372247,246283657,267512774,246283656,246189121,267512772,246455912,267544018,246609887,246534801,246534800,246609884,246679823,267544012,267544014,246679834,246679827,246609888,246534802,246534800,246609884,246679822,246745596,246808394,246808399,246808395,246745597,246679837,246609896 Dl.O(d2) = 246679829,267544010,246372242,246455906,246455914,246372247,246283657,246189122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14156704, s2 = 10540449, dlinesl.size( ) = 8 s1 = 11644767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644767, s2 = 11644710, int(edited[s2]) = 0 s1 = 11644767, s2 = 11644710, d1 = 6, d2 = 0 Dl.O(d1) = 247787010 Dl.O(d2) = 247770845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644767, s2 = 11644710, dlinesl.size( ) = 2 s1 = 11644767, s2 = 11644710, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11644767, Dl.E( ) = 16, 5.01e-06 seconds used appending s1 = 13419856, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13419856, s2 = 113277, int(edited[s2]) = 0 s1 = 13419856, s2 = 113277, d1 = 28, d2 = 26 Dl.O(d1) = 53936325,51001281,40866387,256190582,12823883,8718687,5675114,5675117,6537000,5675002,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000 Dl.O(d2) = 1443128,2492527,2492529,4169664,6659654,5840118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13419856, s2 = 113277, dlinesl.size( ) = 2 s1 = 13419856, s2 = 113277, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13419856, Dl.E( ) = 30, 8.82e-06 seconds used appending s1 = 11652435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11656133, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11656133, s2 = 6522276, int(edited[s2]) = 0 s1 = 11656133, s2 = 6522276, d1 = 16, d2 = 27 Dl.O(d1) = 5530467,3416282,3416281,5530466,5546701,3432340,3432336,5546696,8548295,8520043,254868201,12597392,17796945,24118070,17756992,12564994,12564995,17756999,24118076,24718023,24718024,24718027,18262695,15805560,12564988,12564987,8818885,8818884,12959060,18262696,15935403,15935402,18924658,25536255,33298200,39437859,30833896,23405120,255983391,33298199,33298200,256454072,17131501,12039444,12039443,17131498,22424029,25508103,25508104,33268754,33268768,25508098,25508097,255264129,13466032,12520038,8482117,5482934,3373986,1985541,1985540,3373985,5482931,7504245,7504247,4743650,4743651,7504483,7281444,7281445,10999811,10990058,7275190,4588120,2760397,1600221,909779,909780,1600225,2760408,2193542,1273892,1273891,2193539,3665092,5377241,3306537,1945254,1945256,3306542,5377252,8331617,8728947,12836608,255611169,22759109,30146053,22759114,22759113,30146060,27225610,27225608,268836587,55682424,68080967,269455636,61897590,60749173,49346248,39416746,30811589,23382983,17112417,12025473,255147965,23382978,30811580,39416733,40331060,257092125,40331066,31642259,31642260,40331068,50358032,40331197,31642369,31642303,24135673,24135672,24135720,24135813,17771995,17771996,24135815,31642503,40331329,257675319,50358059,40331094,31642276,24135652,17771901,17771902,24135655,31642283,34257557,43357408,43357437,43357399,42107681,255050730,25412160,31642289,31642290,256349486,42114788,33160381,25419333,18827429,13414171,13414172,18827430,25419336,33160387,42114794,52467432,53881872,52467427,52467426,64335062,53881873,257785929,42114835,33160420,25419355,25419354,33160418,42114831,52467472,50351956,40325007,31635679,24236438,24236437,31747439,33160417,25419353,18827437,18827438,13414177,13414178,18827440,25419357,33160426,42114848,52467491,64335126,77499492,91430662,77499445,258239206,77499484,91430684,86165954,86165955,88401441,91430687,100131679,88401420,88401419,271420839,143196029,260275168,102402317,88401438,74769059,61971618,61971619,74769061,88401435,74769054,61971612,50478652,256551403,31747436,40441978,50478646,61971601,74769040,88401423,87952873,74350624,61573803,61573802,74350622,87952867,270137392,259788726,88401424,76639236,76639235,90497202,104658623,95188811,257184068,57645485,46300805,36447684,27988771,20824181,20824180 Dl.O(d2) = 72614899,259405341,88323867,74696257,74696256,83861048,83861050,70335900,70335901,59876467,59876468,72614897,61902670,61902671,74696256,83861048,86213393,72614899,259405341,88323867,74696257,74696256,83861048,83861050,70335900,57645479,46300801,46300800,57645478,70335899,83861049,97719736,88323870,74696262,61902677,255648666,36553800,28084925,20911828,15006645,12586140,11340227,11340226,15588246,14924237,14924236,20822106,21618305,25303183,19900498,14255966,14255968,19900477,26735534,25296278,18721892,18721894,13814083,9473723,6211885,3888140,2327986,254306767,6211881,9473717,13814077,19319025,25989924,33805998,42846703,53309189,65308581,78607223,92663471,97268981,83337894,83337895,96357358,96357368,82405397,82405396,81019886,67550263,55206441,44355788,34978093,254073570,20016660,20016661,26898695,29736546,38304557,48214636,59601940,72336952,59601942,59601941,72336954,85930922,99886269,100369840,86413772,72818657,60081292,48685086,255481244,22790927,17124904,12034543,8090449,5183292,3162345,1851208,1851209,3162348,5183299,8090458,12034558,12034544,255534823,255277824,25059899,18521247,13659437,9353639,6126677,6126678,6097885,6097888,9308914,9314983,13603549,19055683,25677749,33448791,260294407,134114156,143928322,130620545,260170639,88693510,75042637,62219557,257114607,24391836,17991819,12752406,8667296,5638982,5638983,8667297,12752409,17991821,24391838,31924846,40640610,257698165,50699602,62219560,75042639,88693514,102702815,260767589,143928324,261878797,143928324,130620548,130620549,116795567,116795566,130620549,130620550,261878795,116795565,102702813,102702812,88693513,75042638,62219559,50699601,258307725,259556193,102702811,260767587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656133, s2 = 6522276, dlinesl.size( ) = 14 s1 = 11654611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10532306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12580972, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12361405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14169642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14286072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14286072, s2 = 6656727, int(edited[s2]) = 0 s1 = 14286072, s2 = 6656727, d1 = 13, d2 = 53 Dl.O(d1) = 107864728 Dl.O(d2) = 30561069,23143970,16883878,16883877,23143968,30561067,257009691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14286072, s2 = 6656727, dlinesl.size( ) = 2 s1 = 14286072, s2 = 6656727, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14286072, Dl.E( ) = 54, 2.38e-05 seconds used appending s1 = 12581588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15256331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15256331, s2 = 14051286, int(edited[s2]) = 0 s1 = 15256331, s2 = 14051286, d1 = 25, d2 = 7 Dl.O(d1) = 5409865,5400253,5400254,8367336,9250117,6058094,6058097,9250124,11244421,7843502,4978830,3007545,3007547,4978836,6055434,8404454,5423258,3333913,3333915,5423266,8372386,12263564,8386142,8386139,12408222,17580216,23921466,19866290,254966325 Dl.O(d2) = 61610110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15256331, s2 = 14051286, dlinesl.size( ) = 28 s1 = 14286088, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14286088, s2 = 11649386, int(edited[s2]) = 0 s1 = 14286088, s2 = 11649386, d1 = 65, d2 = 60 Dl.O(d1) = 36628255,46494768,50695953,62216136,63728203,51919579,41617634,32712570,32712572,41617641,51919591,63728213,52269792,41930868,32990214,25266415,18694686,13301616,9083254,9083253,13301612,18694678,25266402,32990185,38741243,30158700,30158699,38741241,32712637,25027081,18495418,13140096,13140095,18495417,25027079,32712635,39214392,39214407,30617574,23196673,16928534,11848097,11848096,16928531,23196667,16928581,11848126,7918897,5034641,3048344,3048345,5034643,7918900,11848132,16928591,23196766,30617703,39214564,47980149,42211210,33249258,25498293,25498291,33249139,42211076,33249313,25498343,18892854,13463604,13463605,18892856,25498336,25498235,18892783,18892784,25498236,25498247,33249189,39214366,34131684,26265211,19545042,19545041,17085444,17085443,23352996,30776828,33249063,42211006,42211225,42211226,254734698,52571702,64446685,64258138,52402884,42059007,39214559,30617700,27992584,20828221,14929610,10266359,10266360,10653822,7034997,4426108,4426109,7035000,10653826,11540160,16556451,22770550,30158693,255836692,60059419,72798031,86394020,100351075,107659698,107659699,108645352,94357413,80300902,66871537,54613771,43871390,43871391,54613774,257722224,90941898,77059042,268275788,52124251,62847279,63945090,52124242,52124243,51197998,41042016,32249260,32249261,41042018,41042058,32885936,25176842,25176841,254891608,43379355,256074552,23849022,255175331,8339893,8339894,12344523,17506779,23849033,31342066,40021578,40879796,256065983,24530670,32107060,25827512,25827513,23849016,17506768,12344518,12344519,17506770,18871169,18098377,12832156,8725399,8725400,12832159,11641335,255949249,269314730,17611643,12431226,12431224,17611635,23959741,30714040,31445852,31445710,23953799,17607801,12428774,12428773,17607793,23954316,31446311,23954332,23954333,17608054,17608056,17607869,12428806,8400245,5420723,3332312,1959805,1119523,1119521,1959799,3332296,5420698,8400211,8401394,5421414,5421411,8401382,12430650,17607545,12428630,8400166,8400165,12428623,17607533,23953877,21393954,15408811,15408812,21393955,28633054,22326817,22326814,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,12429041,17607466,17611284,23954823,31447157,25412095,18820514,13408035,9166910,5999831,5999830,9166904,13408022,18819777,13407577,9166661,9166664,13407590,18819801,23959177,23955131,23955064,23955062,23955072,22951362,22951364,17613715,17613713,16044738,16044737,22167810,17613940,12432632,8402528,5422099,3333175,1960331,1119863,628384,349088,349084,628363,254271947,258891427 Dl.O(d2) = 218070829,221031656,264904129,210244840,264102361,263401139,172535646,161352243,149063591,135841007,260343961,261506477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14286088, s2 = 11649386, dlinesl.size( ) = 54 s1 = 14170868, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14170868, s2 = 7879449, int(edited[s2]) = 0 s1 = 14170868, s2 = 7879449, d1 = 4, d2 = 11 Dl.O(d1) = 25863280,19205706,19205705,13840392,13840391,12727103,12727102,12500851 Dl.O(d2) = 6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777844,8917539,8935148,8935145,256095959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14170868, s2 = 7879449, dlinesl.size( ) = 2 s1 = 14170868, s2 = 7879449, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14170868, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 7879448, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12362359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14516084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14286152, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11276349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14172203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12134326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062562, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15256537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12582898, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14173350, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12583070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 2673333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12583266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12583266, s2 = 8102809, int(edited[s2]) = 0 s1 = 12583266, s2 = 8102809, d1 = 8, d2 = 65 Dl.O(d1) = 152589770 Dl.O(d2) = 255280176,37395284,31101969,23617599,23617597,31101966,255419924,28466199,36965194,37993170,37993169,47909297,38001854,29438846,22105658,15994594,15994595,22105666,28854281,21581801,15558005,10761271,10761273,15558012,13197183,13197184,18571547,15994270,11103167,7363227,7363224,11103156,15559570,15559572,21583955,28054537,20885372,18856787,13435230,12181807,8213244,5284218,5284220,8213250,12181592,12181593,15994322,22105289,23619036,22105220,22105216,15994301,15994297,22105244,20313191,14577690,10031041,10031042,14577697,20313211,21582037,21582038,21213023,15245466,10517392,10517394,15245480,10761926,10761927,15559001,21583197,28856070,23313125,17050368,17050371,23313136,21582852,15558780,10761792,10761793,15558786,21582871,28855583,31100727,23616693,17303380,17303378,22105057,29438072,38001050,39779464,39779465,49799111,49799086,39779445,39779444,257506268,39779207,37395136,37395137,47304562,39779648,39779647,49799285,42162558,42162557,46816083,36937746,28438276,28438277,36937749,38000967,29437984,22104995,15994161,11103111,11103110,15994158,255886059,23782409,17452346,12302949,12302948,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,29437593,29437590,38000444,31101168,31101170,31101670,255927246,49799353,39779736,31101182,255107022,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,15559016,21583236,28856132,37396976,32467513,24828492,24828490,32467520,34623843,34623845,30732985,26634536,26634537,34623855,31102283,23617800,17303990,17303992,23617804,31102295,34111612,34111614,33206829,25459207,18859512,13437115,9186885,6012732,6012731,9186881,13437110,18859503,23617235,25460373,31101366,31101367,25460154,18860201,13437515,9187093,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746344,1307287,2252507,3760167,6012167,254921685 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12583266, s2 = 8102809, dlinesl.size( ) = 30 s1 = 11215908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8602553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8602553, s2 = 13566359, int(edited[s2]) = 0 s1 = 8602553, s2 = 13566359, d1 = 0, d2 = 20 Dl.O(d1) = 81146030,95203440,109458331,123650855,137382078,150421857,162550595 Dl.O(d2) = 150421874,150421872,162550610,273596235,178640193,173581386,272315012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8602553, s2 = 13566359, dlinesl.size( ) = 22 s1 = 15256741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14286430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14286430, s2 = 6588480, int(edited[s2]) = 0 s1 = 14286430, s2 = 6588480, d1 = 71, d2 = 51 Dl.O(d1) = 11252230,15491598,15491599,20066379,20066381,22156963,22093971,22093968,22091151,15984123,15984124,15985472,15985475,16187616,11252158,11252156,16187607,12938285,12938282,10280414,6756621,6756624,10280405,14946144,10280394,9868032,6482301,4061987,2431037,2431035,4061978,6482278,6482208,6482209,6566581,9991284,7385079,7385076,11133876,254747430,28808017,21540781,15524622,10736929,7093940,7093939,10736928,7094018,4466526,2683422,2683423,4466527,7094020,7094033,4466533,2683426,2683425,4466532,7094032,7094113,7094111,10737248,10737176,10737177,15525037,15525081,15524929,10737119,10737116,15524842,255843701,37346773,47256197,49216835,49216836,47849855,47849856,43023125,43023124,53502607,259090259,107387145,121771972,135712564,121771980 Dl.O(d2) = 74703935,256292026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14286430, s2 = 6588480, dlinesl.size( ) = 20 s1 = 14643861, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12584288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9683897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9683897, s2 = 6972203, int(edited[s2]) = 0 s1 = 9683897, s2 = 6972203, d1 = 0, d2 = 0 Dl.O(d1) = 22280834,16137160,16137161,22280836,29632885,38199641,48110927,59499116,72234603,85827006,99780309,113794294,127662390,141010424,153676047,165454681,176133841,272939722,261894392,260785844,117623833,103493425,89399084,75637849,62693461,51064057,51064058,256573998,40923401,32145933,24563145,18123770,18123771,21313820,21313819,28536779,31418297,23928277,17586608,17586607,17731779,12545074,8504115,8504116,12545077,12818312,12818310,18080255,24509264,32083237,40855136,50989781,48928603,48928602,50303391,40283083,31598795,31598797,40283088,50303397,50303390,50303389,61782735,74565812,88180243,99818841,99818840,85865604,72274218,258054614,72274220,59540749,48154481,44748536,35322476 Dl.O(d2) = 22280834,16137160,16137161,22280836,29632885,38199641,48110927,59499116,72234603,85827006,99780309,113794294,127662390,141010424,153676047,165454681,176133841,272939722,261894392,260785844,117623833,103493425,89399084,75637849,62693461,51064057,51064058,256573998,40923401,32145933,24563145,18123770,18123771,21313820,21313819,28536779,31418297,23928277,17586608,17586607,17731779,12545074,8504115,8504116,12545077,12818312,12818310,18080255,24509264,32083237,40855136,50989781,48928603,48928602,50303391,40283083,31598795,31598797,40283088,50303397,50303390,50303389,61782735,74565812,88180243,99818841,99818840,85865604,72274218,258054614,72274220,59540749,48154481,44748536,35322476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9683897, s2 = 6972203, dlinesl.size( ) = 2 s1 = 9683897, s2 = 6972203, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 9683897, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 16182102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12369271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15270147, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12369893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12370093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5796515, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6181404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6181404, s2 = 4558022, int(edited[s2]) = 0 s1 = 6181404, s2 = 4558022, d1 = 64, d2 = 53 Dl.O(d1) = 243383959,243128325,242815317,242815316,242815320,242815318,242815319 Dl.O(d2) = 182737665,261776056,136130654,259437014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6181404, s2 = 4558022, dlinesl.size( ) = 42 s1 = 14286900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14286900, s2 = 8657219, int(edited[s2]) = 0 s1 = 14286900, s2 = 8657219, d1 = 20, d2 = 107 Dl.O(d1) = 222397510 Dl.O(d2) = 168469939,262866029,263286583,187879778,273466640,178776543,178776544,262515152,157022996,144626554,144626553,157022993,273195179,262971192,262243056,157022987,144626536,144626537,261728400,263666359,273017776,168469938,263286581,187879774,195817231,264316457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14286900, s2 = 8657219, dlinesl.size( ) = 22 s1 = 12687862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440939, s2 = 4562901, int(edited[s2]) = 0 s1 = 11440939, s2 = 4562901, d1 = 74, d2 = 63 Dl.O(d1) = 264283465,207031743,201082875 Dl.O(d2) = 188330049,196212685,263788825,183070208,173219306,162119440,272448969,258505511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440939, s2 = 4562901, dlinesl.size( ) = 22 s1 = 12589620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492911, s2 = 13992176, int(edited[s2]) = 0 s1 = 11492911, s2 = 13992176, d1 = 49, d2 = 56 Dl.O(d1) = 265995005,265804030 Dl.O(d2) = 174333152,263465455,263827980,163489958,151610368,138909043 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492911, s2 = 13992176, dlinesl.size( ) = 62 s1 = 12589660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10473970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12374411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12589706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12589712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14167464, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14167464, s2 = 14086206, int(edited[s2]) = 0 s1 = 14167464, s2 = 14086206, d1 = 60, d2 = 37 Dl.O(d1) = 262475876,271542956,166368770 Dl.O(d2) = 166368766,260278668,154651938,142007983 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14167464, s2 = 14086206, dlinesl.size( ) = 64 s1 = 11489819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489819, s2 = 11336372, int(edited[s2]) = 0 s1 = 11489819, s2 = 11336372, d1 = 0, d2 = 3 Dl.O(d1) = 210890050,210890049,205777827,199595141 Dl.O(d2) = 205777825,205777830,210890049,205777828,199595141,261784838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489819, s2 = 11336372, dlinesl.size( ) = 2 s1 = 11489819, s2 = 11336372, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11489819, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14181256, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181256, s2 = 11413174, int(edited[s2]) = 0 s1 = 14181256, s2 = 11413174, d1 = 0, d2 = 2 Dl.O(d1) = 44400632,55248541,67590263,81057733,95115061,109368966,109368963,95115056,81057730 Dl.O(d2) = 95115059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181256, s2 = 11413174, dlinesl.size( ) = 18 s1 = 14141290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14141290, s2 = 13584758, int(edited[s2]) = 0 s1 = 14141290, s2 = 13584758, d1 = 46, d2 = 38 Dl.O(d1) = 224250367,265373172,221809841,218964819,215593930 Dl.O(d2) = 112969115,98979738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14141290, s2 = 13584758, dlinesl.size( ) = 48 s1 = 14114749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114749, s2 = 14151194, int(edited[s2]) = 0 s1 = 14114749, s2 = 14151194, d1 = 135, d2 = 145 Dl.O(d1) = 151750980,139048713,139048714,151750983,163626315,151750979 Dl.O(d2) = 264931481,214987415,218445236,221349875,223837600,225993797,265748118,274501873,266139744,229527079,227874693,227874692,229527077,230994722,266780055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114749, s2 = 14151194, dlinesl.size( ) = 24 s1 = 11464207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14181264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181264, s2 = 10718506, int(edited[s2]) = 0 s1 = 14181264, s2 = 10718506, d1 = 23, d2 = 29 Dl.O(d1) = 140214815 Dl.O(d2) = 28966074,268142498,15644824,15644825,18417979,256092591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181264, s2 = 10718506, dlinesl.size( ) = 34 s1 = 15257352, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298125, s2 = 10995692, int(edited[s2]) = 0 s1 = 11298125, s2 = 10995692, d1 = 8, d2 = 11 Dl.O(d1) = 257481090 Dl.O(d2) = 268555625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298125, s2 = 10995692, dlinesl.size( ) = 12 s1 = 14183254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12242578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12590332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15373022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12590678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14287168, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14287168, s2 = 8512084, int(edited[s2]) = 0 s1 = 14287168, s2 = 8512084, d1 = 81, d2 = 57 Dl.O(d1) = 268283931,5811844,3625309,2165051,2165052,3620580,2161767,2161764,1281701 Dl.O(d2) = 272057757,107810075,93387348,93387350,107810044,107810041,122216490,128568336,128568337,128568359,114673622,100630507,256558558,60313897,48915817,254879098,254423182,16758975,22998460,254619512,270346033,53831545,258477285,259737995,122216578,112707675,98712032,84783955,71214888,58493081,47114827,37217668,28692672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14287168, s2 = 8512084, dlinesl.size( ) = 48 s1 = 14287170, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11092523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092523, s2 = 10161566, int(edited[s2]) = 0 s1 = 11092523, s2 = 10161566, d1 = 29, d2 = 22 Dl.O(d1) = 254714734,17391823,23715695,23967816,17617803,12435836,12435834,17392100,23715929,23924177,20287589,14557591,10017284,10017280,10526403,254494797,4363058,6942376,10526405,7269506,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8383312,11245208,7464353,7464354,5409339,3325406,1955812,1955809,3325395,5409319,7843606,7843607,11747925,16801228,12397226,12397227,12250266,8377742,8377743,12169876,17291025,22323520,29674419,29674403,29674402,23004709,16765174,16765175,17403862,17574825,12403001,12403000,17574821,17616759,16898513,11825906,7903250,7903251,8366897,8366898,11825896,11825898,15847794,10983000,10983001,15847798,12259684,8279525,8279528,12259689,17396703,17404475,12265480,12260616,8280082,5342271,3283530,1931129,1931125,3283514,5342250,8280036,12260534,12385353,12385356,10465079,6898189,4330246,4330249,6898199,10465093,15174003,12639646,8581848,8581847,12639643,12639546,12639547,15332195,10589367,10589366,10983086,7269922,7269921,10983084,15847932,21935446,23721677,23721676,31208132,31407552,24296742,17914189,12691845,12691844,257656443,268404768,11747124,7843114,4978617,4978616,7843109,9246503,9246502,13513504,12389711,8372632,8372634,8581639,8581638,8370557,8370558,12256832,8277718,8277722,12256847,17392825,17471270,12317553,8364907,8364906,12249279,12249278,11755344,9767909,9767911,14208914,19834600,17401828,12263544,8281818,8281817,12263537,17401814,255389698,23729523,17405650,12266371,12266372,12435190,8404298,5423139,5423140,8404300,12435193,17617161,23967284,17848431,15309475,11528739,7669274,4852500,3459343,2051154,1176538,660455,660453,1176528,2051133,3459302,5576059,8380638,8380640,8279256,8279255,6968505,254331866,10473689,11828586,15184284,13522857,13522858,18958977,25568948,33329136,28733492,28733491,28755205,254652978,268069021,6960138,6960139,10553006,15287611,16953596,22375698,18972611,13537509,9266997,6069874,3797782,3797781,6069871,9266988,13537491,18972583,25580454,19286409,13787540,9453351,6197765,254306413 Dl.O(d2) = 65763498,79119525,65763518,65763511,256590944,43194835,44426838,44426837,55273717,60260659,60260660,62199066,63444866,63444865,55273640,44426743,35052268,35052269,44426847,55273731,67614235,81081360,67614228,67614229,258342332,79119534,269940728,258342330,67614223,67614222,81081354,67614231,257729388,95139303,95139038,258007978,26970825,26970826,35052184,38947874,30361821,30361822,38947876,48867627,60260665,72996347,72996339,60260656,48867622,48867623,60260658,60260663,63444860,76492312,90321628,86594160,72996336,72996337,269764868,55273636,55273635,63444854,76492308,90321623,81081198,81081197,90321621,90321620,104469556,256384954,81276378,81276379,81081200,81081199,81183182,270486137,51694869,51694868,63444862,75019995,81081195,95139034,95335397,95335396,88668905,88668903,102677262,95238340,86807679,73195516,73195517,86807681,76492315,76492314,90321631,101243661,95335393,81276370,81276369,95335391,109590254,95335405,81276382,67808694,55466940,55466939,67808690,81276376,95335399,109590256,109590261,95335408,81276387,67808698,55466944,55365856,55365857,67705551,81171099,79319147,79319146,67705570,67705569,257507262,81171084,81171100,81171101,95227352,256927090,67705537,255953464,44519906,268653700,81171075,67705563,55365864,44519916,35143573,35143572,44519914,55365860,67705556,81171081,258117110,123673057,109481213,95227328,95227329,95227358,81171107,67705561,67705560,81171104,95227327,269805910,95227346,95227347,109481216,109481217,109481235,258117112,109481233,270836312,258809464,95227344,92280778,92280779,84632074,71069123,71069124,81135623,269489136,259003046,115058373,109448491,95193201,81135614,81135615,95193203,95193193,81135607,81135606,258740588,269976460,95622527,95622526,258375996,81135613,67669225,55329466,55329465,67669222,81135609,95193196,95193204,108665834,270502136,123641279,123641281,109448493,95193210,81135627,81135626,81135625,67669231,257172676,35106479,35106478,44483332,55329467,67669227,81135617,95193206,109448494,257761760,81135631,81135618,67669237,258532495,95193213,109448500,115206521,129138192,120934878,109448497,95193207,95193208,88010443,88010442,258375992,80323313,66895601,66895600,80323311,94378466,101985846,116032528,116032525,101985844,101985843,116032524,116032522,101985841,259003044,74405275,270388191,88010449,74405284,74405283,270357870,50144791,40123684,40123685,50144794,42638304,42638303,53086703,65069506,74405288,269845440,50144800,50144790,40123683,40123682,42638305,42638306,269824614,53087061,53087060,65069511,65069510,53087045,42638635,257211752,256139422,19164399,25813216,25813453,19164587,19164588,25813455,33612652,42638646,53087066,65069780,78348562,78348359,65069512,65069513,258438091,53087053,53087052,65069763,65069775,78348574,65069766,258438093,92380629,92380634,106683491,260630928,92380631,92380628,78348568,65069761,65069760,78348566,78348570,271076295,115957724,101913337,101913336,115957722,101913339,87940420,87940421,101913341,101985847,92380625,259413296,258788524,87940419,78348564,74337423,61559756,61559755,74337399,74337400,87940415,101913335,87940422,86995220,73379906,73379907,86995223,100987951,101913348,101913347,259413298,87940425,74337416,61559751,61559752,74337418,259418358,87940434,101913352,101913350,87940433,74337424,68081098,68081099,81570756,271183637,87940428,87940427,101913345,95604130,81570749,81570750,95604132,261007687,143184608,142358599,128983852,258164852,86995231,86995230,100987958,92380640,92380641,106683494,120935038,134732349,141413798,260030300,123942952,123942951,137621581,259413302,120935036,259413300,128983849,142358596,272225082,141413797,128044824,128044825,261207484,114154592,114154591,128044828,128983854,115058374,115058375,128983856,137621587,123942958,123942957,137621586,137621583,123942954,123942953,114154590,259970452,86153986,86153987,259401071,114154593,261196695,261207480,260560942,109806442,109806441,123942949,123942946,123942947,137621579,137621590,137621577,123942942,259806605,81570747,81570748,95604127,109806438,109806468,272248482,260417687,109806467,109806444,259180413,81570752,95604134,95604144,81570760,68081103,68081102,68081096,258551669,259806632,55682582,257330311,35348875,35348876,44773953,55682579,68081100,81570757,258551671,55682584,55682583,258551673,95604150,95604153,258551675,55682591,44773962,44773961,55682589,68081109,71418005,84991680,98916837,98916839,84991683,258092108,47293784,47293783,47293778,37384602,256878793,269787491,84025629,70491060,68081107,58684597,256902098,28844667,28844666,256878795,58684594,71418009,258007977,46435218,46435217,57790357,58684570,47293767,37384594,37384593,47293764,58684567,71417995,71418006,71417999,58684576,47293771,37384597,28844661,21573027,21573028,28844663,37384601,47293776,48867613,60260647,60260648,70491066,57790367,57790366,70491064,57790363,46435222,46435221,57790362,48867615,38947862,30361808,30361807,256280210,30361811,30361812,255792742,255005122,22960556,16724712,16724711,255792744,11682762,11682761,255508717,22960551,16724709,16724710,22960553,254485322,16213857,16213856,254485320,10344587,11682764,11682763,16724716,268418559,20923977,15016444,10344596,254485319,2553875,2553874,4271574,6810491,10344589,15016435,20923965,28099528,36570684,46435214,46435224,57790365,60260654,48867621,38947871,30361819,30361818,38947868,256367393,21922513,21922512,29241727,268430112,59126084,59127566,255990748,29243044,256367527,29243055,29243054,29243031,21923619,15837993,10975258,10975259,15837996,15838000,15838001,21923630,256367525,29243042,29243043,29243052,29243053,268934963,59127548,47729169,37807300,29243051,29243027,29243028,37807276,47729143,258099513,85450788,259966489,258723111,71865908,71865932,71865933,85450828,85450811,269800743,59127563,71865915,71865923,71865924,85450818,85450821,99391545,113392342,101763343,87790484,74186278,74186277,71865926,71865925,85450819,99391541,113392350,113392358,127251014,113392355,272223744,258723117,71865921,259348273,113392348,272201223,131404973,144625900,261693222,113392356,113392357,261143947,153277997,272321427,117605151,259577235,62669016,62669017,75613564,89376835,75613556,75613554,89376839,103473717,89376856,75613566,62669019,62669018,62669010,51040615,51040614,62669007,51040624,40901456,32126104,24547044,18111816,18111815,24547042,32126102,257127881,269028129,32126100,268705559,51040610,51040617,51040616,51040612,51040611,258324787,259577227,75613547,75613548,259577229,117605127,117605122,259350316,75613543,259577225,117605119,117605138,258725238,257491584,257491586,109393082,123584792,259968482,131404969,131404970,131404968,260568618,116176356,271793240,131404962,272460695,143412840,143412841,130084374,259981066,88130210,88130209,102118433,116176354,102118426,88130203,88130202,102118424,102118428,88130204,74517878,74517877,271399913,259362764,269805026,258114134,61736205,50257807,40238485,31552484,24048639,17695478,17695477,256032297,40238477,48117693,40981000,32200930,32200929,40980999,51123250,62754463,72657808,78894743,65559726,53534840,43054968,33996165,26154573,19455581,13923059,13923058,19455575,23620344,255366324,39818556,46602666,47669163,37907917,29339075,29339071,37907905,37071100,37071099,38384152,29811819,22444674,16275698,11317364,7514628,4750454,4750453,7514625,11317353,16275677,22444636,29811757,38384081,29811912,22444735,22444734,29811907,38384251,38384250,38383756,29811487,22444449,22444448,22444515,22444516,29811571,38383853,48294398,47400549,47400547,38384574,38384573,48294907,47669126,37747197,29812324,29812323,37452421,34669157,28913002,21638798,15607119,15607118,21638795,28912992,22313571,22313569,22444395,22444386,22444384,22444842,16275791,254810774,29812079,30524922,267985840,37421418,29290419,29290418,37859403,47329653,37421334,37421335,46409715,36548141,33297783,33297782,40514516,31818050,31818051,40514517,47329742,37421426,28879534,21603939,15575904,10774385,7118973,4482283,4482284,7118975,10774390,255414597,21603915,21603914,21603989,15575934,15575935,21603991,28879602,37421530,47329833,49857688,39834053,31151593,31151592,39834051,47890689,47890690,39308565,256084432,59068778,53718419,43206022,256910332,24598448,24598449,29186068,21874665,15799773,10947317,7244395,4567367,4567368,7244397,10947319,15799777,21874672,23288912,23288913,30705025,39302844,256071240,29653763,22302128,22302129,29653765,38219787,48129813,48112830,48112831,59500911,257829327,42772151,33741464,25934101,255288165,9444045,6191119,6191121,9444054,13775277,13776512,9444863,9444859,13725008,9401745,9401747,13725017,19215013,18402484,18402483,255288283,13776319,13061654,8900611,8900614,9444687,6191478,3874851,2320394,2320396,3854196,3854195,6159483,3854080,2309105,2309104,3854075,6159472,9401410,13061271,13061270,13085743,12865650,8749587,5696628,5696627,8749581,12865638,18143113,24587662,24887767,25933594,19271156,13774856,9443754,6190951,3874585,2320242,2320243,3874591,6190966,9401487,9444002,8900377,5807907,5807908,8900385,6191106,3874660,2320289,1345095,1345085,1345086,254208869,1345152,1345151,254306249,5807834,5807833,8900233,268133945,24887171,32531927,24887157,24887156,25933740,33159373,25418363,18826617,13413522,9171248,6002695,3753947,3753949,6002699,6002703,9171256,9171397,13413774,18826980,25418827,30613293,30613294,30613530,30613531,39209799,39209798,30613607,30613608,257013702,255968082,49136727,42683625,42683624,39209495,257013648,39209340,39209342,49136168,60536229,49136145,256469100,33711382,25905010,19244092,19244091,257100693,61984898,269839919,268968871,40405061,31713027,24205423,17835759,17835758,254374856,8502100,8502101,8502126,8502125,12541909,17727321,12555512,12555511,12591842,17790322,12620632,8566992,5562693,5562692,8566986,8499227,5500771,3390351,3390350,5500764,8499213,12537768,12622468,11594689,7718439,4885349,2943806,2943805,267740776,11594669,16622195,12600520,8550950,5549209,3434658,3434657,5549207,8550947,12543229,8507047,5507554,5507556,8507050,6906432,6906433,10474590,8559966,8559964,10411588,10411587,15096113,17789669,17789668,24156677,31601708,24097607,17744808,12555563,8512624,5511661,5511662,5511567,5511565,8512429,12555258,12555735,17745025,267773480,28212079,254412138,15486737,10709318,7075110,7075111,267848334,17362167,17362168,23682473,24167783,17800141,17800142,254136800,12601752,12613923,17727258,12541868,8502102,8502101,8502126,8502128,12541915,17727332,17714036,17714035,24070177,24103782,17769992,17758258,17758257,24119296,31624698,33211058,25463272,18863040,13440094,9189753,9189754,13440097,16885681,16885684,17387722,23711239,24075510,17718995,17388281,17388282,23711862,21559566,15538643,10746506,7100061,4470366,2685891,2685895,4470372,7100078,7100088,7100090,10746552,254138586,15083450,15083449,20998798,23052016,16806100,16806099,12598404,8549406,5548018,5548017,8549404,8549738,254108130,17798159,17387824,17387822,23711346,18229894,17746248,254413170,267909536,3661761,3424272,3424271,5538955,8541098,5539000,3424295,2022980,1157695,649530,360318,254138359,2022969,3424269,5538951,8541092,12589238,17787072,12624714,12624715,17774323,17774324,19701731,21063409,17725774,17725773,24083050,31588058,30448425,23040599,16795689,16795690,254609256,24083493,17726189,254609008,8501663,12541146,17726202,24083508,31588367,31588355,31588354,40274432,31588391,24083544,21985156,21985155,25463879,31637867,31637866,27043004,20150287,14454801,9944642,9944643,14454803,255581382,19703487,15739000,10900342,10900343,15739004,21798702,29096166,22310709,17712273,12529417,8490717,5491477,3381952,3381951,5491475,8490711,12529406,12929303,254204670,17798740,12599212,12599213,9719600,6393972,4012499,2404708,2404709,4012504,6393986,7107304,7107302,10757504,11661797,11661794,12299684,17448698,20150111,22313456,16167928,14332430,14332431,20012241,24067750,31573403,254844582,24082768,24082767,23796782,17464402,12312335,8316429,8316430,255464114,7459568,11239066,254842398,19782086,19782085,15734483,10897471,10897472,13703587,9385858,254453629,73770,39880,21917,21921,12299,6864,6860,12449,12298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092523, s2 = 10161566, dlinesl.size( ) = 14 s1 = 10983151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983151, s2 = 431591, int(edited[s2]) = 0 s1 = 10983151, s2 = 431591, d1 = 70, d2 = 78 Dl.O(d1) = 1282796,1282793,2209557,267759694,9038783,13249910,18635973,25198556,32910890,41837325,52157380,63984148,77106475,90999572,91151611,270501484,104967300,90790902,76915822,76915823,90790904,104967304,119160621,113334344,99331928,91542742,77613675,64445431,64445432,269884888,73267733,86879575,100859954,99989993,99989992,86879576,80368640,80368641,85388168,76973095,63861429,63861428,76973093,72430656,72430657,86028349,77783113,77613686,64445439,52570321,42209788,33248060,29825008,29825010,38397371,48308097,59695035,71799940,71799941,61255979,49777181,49777182,52361950,44597036,35216166,35216165,40183443,39424723,30819969,23391208,17119296,12030306,12030307,17119297,23391210 Dl.O(d2) = 256361749,15796841,21868273,21868274,17419471,12277546,255168639,15810903,10956630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983151, s2 = 431591, dlinesl.size( ) = 44 s1 = 11284463, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284463, s2 = 16267336, int(edited[s2]) = 0 s1 = 11284463, s2 = 16267336, d1 = 12, d2 = 25 Dl.O(d1) = 101714542 Dl.O(d2) = 1935903,2008602,2008603,3405481,3455040,2047793,1174271,659201,365394,365393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284463, s2 = 16267336, dlinesl.size( ) = 2 s1 = 11284463, s2 = 16267336, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11284463, Dl.E( ) = 58, 2.1e-05 seconds used appending s1 = 11123931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123931, s2 = 14164239, int(edited[s2]) = 0 s1 = 11123931, s2 = 14164239, d1 = 1, d2 = 0 Dl.O(d1) = 40074474,40074475,34293885,26417638,19681156,268297946,254464191,3926659,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771652,438350,438349,441930,778991,786656,1382814,2388763,3658848,5860893,6159082,3853830,2308942,2308944,3853836,3863327,2314295,2314292,3863324,6174026,9422554,13751262,19245419,268762037 Dl.O(d2) = 2500892,1442991,1442995,2500958,1445399,1445395,2506173,4189865,4198387,6699838,10195609,14824472,20674240,27770373,36136328,45873309,53883014,53699627,50392768,50392767,57104618,45873299,45873300,57104619,52222604,52222605,64063947,70882896,61882144,58274155,58274154,57104625,45873307,45873306,57104624,50392785,40357634,31662401,31662400,40357632,50392781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123931, s2 = 14164239, dlinesl.size( ) = 64 s1 = 15323054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15323054, s2 = 11067640, int(edited[s2]) = 0 s1 = 15323054, s2 = 11067640, d1 = 16, d2 = 10 Dl.O(d1) = 9977931,14500483,10863961,7182860,4525125,4525127,7182871,9921999,9922000,14423623,16209109,20112074,14423436,14423434,12897388,9922007,9922009,14423637,20112363,24887662,21083388,15144180,15144179,21083385,21083349,21083345,22359802,16207199,16207201,16037281,14500481,9977930,6558218,6558217,255752767,35198081,44576517,44576515,256228643,256228645,21683256,15643972,10826653,7155890,254948092,7154587,4505749,2708318 Dl.O(d2) = 258927682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15323054, s2 = 11067640, dlinesl.size( ) = 2 s1 = 15323054, s2 = 11067640, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15323054, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 11249305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249305, s2 = 8084973, int(edited[s2]) = 0 s1 = 11249305, s2 = 8084973, d1 = 42, d2 = 37 Dl.O(d1) = 260029905,272224931,263569301,273872351,262992722,262537757,262473474 Dl.O(d2) = 43181395,254463312,43217526,34129833,254095028,13994424,13994425,19543645,26263485,26377119,34254418,38343224,29771998,22408319,16244952,11293899,7498357,4739899,2856623,2856624,4739900,7498361,11293908,16244962,22408336,19836368,16079406,16079405,22210106,29554904,38120056,43914710,43353499,34253496,26376263,19642795,14078865,14078867,16715619,15209304,11681057,11681059,16722662,21124483,21124485,28336545,36833103,46715641,49443669,39512383,30904262,30701590,23285767,17026635,12304685,8310924,8310923,12304682,17454757,16392505,16392508,22575362,29938214,38501714,38952082,38952083,39258601,39258602,30662704,30662705,38956758,48876320,49184497,39258629,30662721,23245341,17026768,17026767,23285941,23785687,23785686,255527675,11941744,254565143,5087546,7992646,11941746,255974511 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249305, s2 = 8084973, dlinesl.size( ) = 34 s1 = 14906742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14906742, s2 = 10731565, int(edited[s2]) = 0 s1 = 14906742, s2 = 10731565, d1 = 32, d2 = 29 Dl.O(d1) = 55201960,258906099,98305234,84396067,84396066,259899723,260579780 Dl.O(d2) = 221606473,265838269,231131647,232428043,274660017,266497827,274768661,238743673,274791232,266578292,235800400,234842583,233791102,266329175,274745162,238190462,238848115,239452408,274860772,267003098,240451277,239926781,266795188,238743669,274875155,266948862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14906742, s2 = 10731565, dlinesl.size( ) = 2 s1 = 14906742, s2 = 10731565, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14906742, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 14302756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11115977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11157185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11157185, s2 = 1410117, int(edited[s2]) = 0 s1 = 11157185, s2 = 1410117, d1 = 24, d2 = 5 Dl.O(d1) = 59553740,48167185,38257941,38257940 Dl.O(d2) = 36632492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11157185, s2 = 1410117, dlinesl.size( ) = 16 s1 = 12376911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14287290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14287290, s2 = 9396910, int(edited[s2]) = 0 s1 = 14287290, s2 = 9396910, d1 = 20, d2 = 15 Dl.O(d1) = 138521973,272412883 Dl.O(d2) = 6227986,9495765,13843126,14081519,14081518,19646366,26032807,256187639,26052788,19372312,14107286,13840616,9668796,9408816,6164543,3857336,3857337,6164545,9408819,13733987,9668801,6359055,3989945,2391220,1384091,1384090,2391218,3989940,3898576,2334832,1353281,771903,438453,247360,136633,136629,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438350,438349,441930,778991,786656,1382814,2388763,3658848,5860894,6294727,255299459,257256887,257656512,61258281,257656510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14287290, s2 = 9396910, dlinesl.size( ) = 18 s1 = 11457171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11457171, s2 = 9160419, int(edited[s2]) = 0 s1 = 11457171, s2 = 9160419, d1 = 17, d2 = 31 Dl.O(d1) = 264573205,205598842,263920850 Dl.O(d2) = 33816378,42857240,33815841,33815840,33815649,33815648,42857043,33815914,25999004,19326963,19326964,25999008,33815930,42857326,53320118,65319374,53320015,42857181,42857182,53320019,42857528,33816074,33816075,38476931,47284387,37374823,28834807,28834808,37374827,29918026,22559574,22559575,29918029,38477016,48379104,59761893,53319436,48852276,48852277,53320606,42857914,33816391,33816390,42857912,35229664,35229662,33815793,33815792,33815849,25998934,19326918,19326920,25998940,25998996,19326956,13820559,9478482,9478483,13820567,19326971,25999015,25999030,33815961,42857360,53314833,42852046,42852047,47284404,37374845,28834818,21563702,21563704,28834824,37374856,255478336,71409678,65319011,53319449,42856531,42856530,53319447,255918802,48849166,48849167,53319453,42856537,33815146,25998240,19326431,13820201,9478274,6215096,6215097,9478277,13820208,19326438,25998248,33815143,33815142,42856535,48848880,42851946,33810781,25994253,25994254,33810784,42851950,53314795,42856636,33815258,33815257,42856634,53319530,53314783,48378986,48378987,59761765,72495878,60242772,48849141,38929067,30342881,30342880,38929064,48848759,53320102,42857315,42857316,38931602,38931601,38931665,30345750,30345751,25998244,19326435,13820206,13820205,9478283,6215104,3890122,3890121,6215100,9478280,13820213,19326445,25998261,33815170,39756092,38928846,38928847,48848886,55459198,55459197,53314793,53314792,65314648,258183994,42851938,33810779,33810776,42851936,48849200,48849201,48848752,38928715,255951259,16705611,16705614,22941317,30342544,38477039,47410621,38929249,30345653,22944280,22944279,16708367,11667682,7777816,7777817,11667687,16708131,16708132,22944166,30345534,25998258,19326443,19326442,25998255,33815165,38931652,31078491,30342684,22941441,22941442,30342688,38928854,38928682,30342488,30342489,38928685,255951578,30343273,38929352,38931799,38929165,30343011,22941757,22941758,30343014,38929167,33815392,25998522,25998521,21671479,21671481,20228946,20228947,21678328,16708258,11667589,7777751,7777732,4929295,2973313,2973315,4929264,7777782,11667648,16708326,22944367,30345715,30343167,22941936,22941937,22944388,22944389,23595212,31078532,30342691,30342690,38928858,38929359,30343285,30343284,22946350,22946349,30347660,38933304,258184140,16710043,16710042,255507299,16706081,16708329,255507509,28960096,21678322,21678321,28960093,22944384,16708339,11667661,7777799,4929271,4929272,7777801,11667664,16708342,22944386,30345737,22946292,22946268,19327197,19327198,16705670,11665492,7776109,7776107,11665503,13359270,13359269,16706246,11669081,11669083,16705485,15634613,15634567,10819365,10819369,15634580,18760876,13359241,9130026,9130025,13359237,18760868,256119271,30345492,22944127,22944128,256345743,256345741,30346061,22944656,16708542,255507525,22944216,22944218,30345593,256995497,30342349,38928573,44612109,35230921,32696673,25014265,24389372,17989635,12750650,8665942,8665943,12750653,17989639,21671610,20226160,20225333,20225334,17282968,17257845,12137930,8167884,5237401,3197073,3197076,5237410,8167898,11667436,10822296,7152164,4503967,2706579,2706580,4503973,7152173,7777635,11667392,9992700,6567429,6565084,4112816,4112817,6565089,9988788,14516528,20229610,14516406,14516403,20229600,22941127,25091378,22941119,20237833,14522042,10819331,7150340,4502862,2705910,2705909,4502853,5921403,3702641,3702642,256108669,19022887,13577879,13577877,19022884,21688511,255913260,47421305,58808559,71537651,85109125,269814108,87153286,101151172,115228471,129159295,115228469,115228468,129159294,115228473,101151174,87153288,270354462,60787264,73534781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11457171, s2 = 9160419, dlinesl.size( ) = 12 s1 = 11100241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11240163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240163, s2 = 11407430, int(edited[s2]) = 0 s1 = 11240163, s2 = 11407430, d1 = 19, d2 = 39 Dl.O(d1) = 84388003,70830593,70830592 Dl.O(d2) = 181095865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240163, s2 = 11407430, dlinesl.size( ) = 22 s1 = 11031259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11113025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113025, s2 = 11522810, int(edited[s2]) = 0 s1 = 11113025, s2 = 11522810, d1 = 43, d2 = 39 Dl.O(d1) = 254380394,15744258,10904082,10904081,15744257,21805107,23545097,17237365,12120233,12120232,17237363,255993251 Dl.O(d2) = 264803429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113025, s2 = 11522810, dlinesl.size( ) = 24 s1 = 16313570, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11401547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401547, s2 = 11283622, int(edited[s2]) = 0 s1 = 11401547, s2 = 11283622, d1 = 7, d2 = 0 Dl.O(d1) = 165861531 Dl.O(d2) = 114159650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401547, s2 = 11283622, dlinesl.size( ) = 16 s1 = 11453049, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16387969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16387969, s2 = 11150122, int(edited[s2]) = 0 s1 = 16387969, s2 = 11150122, d1 = 88, d2 = 85 Dl.O(d1) = 260034182 Dl.O(d2) = 259411350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16387969, s2 = 11150122, dlinesl.size( ) = 16 s1 = 8567888, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8567888, s2 = 11495586, int(edited[s2]) = 0 s1 = 8567888, s2 = 11495586, d1 = 18, d2 = 14 Dl.O(d1) = 260422037,137693334,150688698,150688699,162781388,173778784,162781386,162781385 Dl.O(d2) = 262801521 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8567888, s2 = 11495586, dlinesl.size( ) = 2 s1 = 8567888, s2 = 11495586, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 8567888, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 15257711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029079, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16343577, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16343577, s2 = 14104286, int(edited[s2]) = 0 s1 = 16343577, s2 = 14104286, d1 = 18, d2 = 15 Dl.O(d1) = 261460899 Dl.O(d2) = 261428439,272981415,261428434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16343577, s2 = 14104286, dlinesl.size( ) = 36 s1 = 11392525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11392525, s2 = 8363808, int(edited[s2]) = 0 s1 = 11392525, s2 = 8363808, d1 = 14, d2 = 61 Dl.O(d1) = 172863487 Dl.O(d2) = 150345283,150345284,137303896,260988224,150345277,261551430,173517205,162479078,150345287,137303898,137303897,137303893,137303894,142964814,129637227,115740643,101695649,87722191,256741202,255741812,39828009,256741198,87722187,259155959,67600185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11392525, s2 = 8363808, dlinesl.size( ) = 44 s1 = 11434797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434797, s2 = 11478336, int(edited[s2]) = 0 s1 = 11434797, s2 = 11478336, d1 = 6, d2 = 3 Dl.O(d1) = 264732045,218897150,274263487,215284738,211150011,211150010,215284736,215284734,211150008,211150009,264948665,211150013,264162377,199975298 Dl.O(d2) = 199975297,192735449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434797, s2 = 11478336, dlinesl.size( ) = 2 s1 = 11434797, s2 = 11478336, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11434797, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16291824, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16275198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12594034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12594034, s2 = 16275197, int(edited[s2]) = 0 s1 = 12594034, s2 = 16275197, d1 = 0, d2 = 11 Dl.O(d1) = 42257634 Dl.O(d2) = 64542309,259038739,91651723,105859665,120072248,133915656,147140184,272988077,165179369,165179370,263133389,263885485,264550871,212474583,207659298,201818916,264270523,194880774,194880773,194881375,186776927,177470930,263222075,166932851,155249267,261264401,115315560,101237160,87236871,73615372,73615371,87236870,271375353,129243746,261809117,262791741,186776271,186776516,186776515,194881023,194881291,263222123,166933304,155249582,262319007,166933298,155249579,155249580,166933302,177470833,263609193,201818913,207659297,201818936,201818934,264748981,206757653,206757652,264748979,264550855,264550853,201819024,273570351,177470973,166933395,155249636,155249635,166933397,263222131,194880977,186776469,177470479,166933013,166933012,166933438,177470603,185380631,185380632,193663697,200765070,206757534,201818823,273570327,177470707,177470708,186776678,194881149,194881445,186777023,177471026,177470703,177470702,186776671,194881146,201818821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12594034, s2 = 16275197, dlinesl.size( ) = 2 s1 = 12594034, s2 = 16275197, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12594034, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11511437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12314252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11516177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516177, s2 = 10686951, int(edited[s2]) = 0 s1 = 11516177, s2 = 10686951, d1 = 53, d2 = 118 Dl.O(d1) = 222438049 Dl.O(d2) = 5144854,5127684,3116498,3116499,254568687,8034129,8034127,11984556,11983026,8032042,8015901,5104286,5104288,5159023,5229140,5229141,8014209,8014210,8015855,5104219,3098497,1810367,1033954,582651,582649,1033965,1753530,1753528,1822603,1837360,1048497,1048473,1048475,1837330,3132953,254383967,5159152,5159151,7525208,7525214,4758781,2868341,1664742,1664743,2868343,4758785,7525215,5105614,3099530,3099531,5105616,8017118,5160609,3143801,1838792,1838791,3143799,3132969,1831603,1045309,1045310,1831606,3132971,3137303,1834381,1834383,1821757,1039969,1039972,1039164,585309,585314,585322,326984,326981,585335,1039340,1034602,1034599,1811617,3100668,254567105,8163449,268096398,5131779,3119727,3119728,5131780,7405550,11164355,8033310,8033308,11983955,11996823,11996825,11987364,9857482,6475153,6475154,6475532,8061376,5153831,5153830,8061374,12005709,17072926,11990091,8042059,8042060,8032011,8032009,8067541,8041539,5131943,3119859,1823415,267795679,2428772,4057802,6475309,9857670,9856905,6474744,6474745,6475243,4057757,4057759,6475249,9857602,7795426,7795423,11689040,254553056,8067538,8037583,8037584,8158781,12127192,16729880,11687319,11680051,7788403,7788402,8037536,8037537,11986695,11686062,7792933,7792934,8158153,5229133,5229134,8158155,7788522,4938040,4938041,7788524,11673840,7782820,254369012,1727321,1727320,2976177,4933177,4058270,4058269,6476111,9858502,7793620,7793622,11686948,11634502,11634503,16668937,16721550,11679963,11633585,7750175,7750172,7793595,7781510,7781509,7358335,7358336,7358406,4648162,4058118,4058119,4908469,7750189,7750187,11633606,16667838,16716934,15981909,11094937,9858317,9858316,14348275,11680692,7788901,7788900,11095432,11095433,7787905,4937611,2979421,2979422,4648141,4648139,4908406,4908407,7750467,11095413,7784654,7784656,9858869,7358325,4648107,4648106,7358320,7788853,11680629,16722264,16722303,16717843,15982313,11095280,11095282,11672218,11094907,7358192,4648043,4648041,7358185,11094891,11095301,7750199,7750198,4933126,4933124,7750800,9858244,6475778,4058096,4058097,2958466,2958468,4908347,7750353,11633861,11675971,16717813,16728485,16728483,22964810,16731441,14519527,14519524,16716779,11675009,7784674,7784673,11633464,11634170,11095118,11095120,15982119,16667804,16667806,21070188,28273327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516177, s2 = 10686951, dlinesl.size( ) = 22 s1 = 11499093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14210576, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14210576, s2 = 14287637, int(edited[s2]) = 0 s1 = 14210576, s2 = 14287637, d1 = 9, d2 = 7 Dl.O(d1) = 274265611,264721451 Dl.O(d2) = 263487933 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14210576, s2 = 14287637, dlinesl.size( ) = 10 s1 = 14287638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14287638, s2 = 14210575, int(edited[s2]) = 0 s1 = 14287638, s2 = 14210575, d1 = 3, d2 = 8 Dl.O(d1) = 263487932,206731026,211685502 Dl.O(d2) = 274265610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14287638, s2 = 14210575, dlinesl.size( ) = 2 s1 = 14287638, s2 = 14210575, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14287638, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11298197, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14302814, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12383289, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561303, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11504645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504645, s2 = 11247870, int(edited[s2]) = 0 s1 = 11504645, s2 = 11247870, d1 = 0, d2 = 47 Dl.O(d1) = 219325987 Dl.O(d2) = 258538515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504645, s2 = 11247870, dlinesl.size( ) = 36 s1 = 11438211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438211, s2 = 11575110, int(edited[s2]) = 0 s1 = 11438211, s2 = 11575110, d1 = 11, d2 = 9 Dl.O(d1) = 274198327 Dl.O(d2) = 266433085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438211, s2 = 11575110, dlinesl.size( ) = 12 s1 = 11517773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517773, s2 = 11101436, int(edited[s2]) = 0 s1 = 11517773, s2 = 11101436, d1 = 72, d2 = 66 Dl.O(d1) = 265774287 Dl.O(d2) = 259691836,106598095,92300049,257818232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517773, s2 = 11101436, dlinesl.size( ) = 44 s1 = 11593527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11593527, s2 = 11568096, int(edited[s2]) = 0 s1 = 11593527, s2 = 11568096, d1 = 34, d2 = 49 Dl.O(d1) = 266485862 Dl.O(d2) = 274782408,233118526,231886806,231886807,274646760,231886805,265918156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11593527, s2 = 11568096, dlinesl.size( ) = 38 s1 = 11628465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15154766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15154766, s2 = 15336823, int(edited[s2]) = 0 s1 = 15154766, s2 = 15336823, d1 = 102, d2 = 35 Dl.O(d1) = 267566727,246690914,246756777 Dl.O(d2) = 247275804,247306919,247335495,247335493,247335494,247362062,247387421,247412064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 7540300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11216325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11056217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056217, s2 = 14067208, int(edited[s2]) = 0 s1 = 11056217, s2 = 14067208, d1 = 13, d2 = 4 Dl.O(d1) = 255044838,38238575,38238576,48148023,48148021 Dl.O(d2) = 29673375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056217, s2 = 14067208, dlinesl.size( ) = 34 s1 = 12596072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607741, s2 = 11591816, int(edited[s2]) = 0 s1 = 11607741, s2 = 11591816, d1 = 24, d2 = 0 Dl.O(d1) = 274846262 Dl.O(d2) = 238386580 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607741, s2 = 11591816, dlinesl.size( ) = 26 s1 = 15305396, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15157380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157380, s2 = 12596209, int(edited[s2]) = 0 s1 = 15157380, s2 = 12596209, d1 = 16, d2 = 11 Dl.O(d1) = 257012800,98373286,85007092,71433594 Dl.O(d2) = 255597324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157380, s2 = 12596209, dlinesl.size( ) = 2 s1 = 15157380, s2 = 12596209, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15157380, Dl.E( ) = 22, 1.19e-05 seconds used appending s1 = 12596210, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11450351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450351, s2 = 16355272, int(edited[s2]) = 0 s1 = 11450351, s2 = 16355272, d1 = 146, d2 = 110 Dl.O(d1) = 261775560,164380494,152516511,139799273,139799272,260053284 Dl.O(d2) = 7421457,4689816,2825855,1639541,932348,525524,294499,294497,525517,932331,1639485,2825742,4689620,7421147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450351, s2 = 16355272, dlinesl.size( ) = 34 s1 = 14218914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11038841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11038841, s2 = 13252016, int(edited[s2]) = 0 s1 = 11038841, s2 = 13252016, d1 = 27, d2 = 21 Dl.O(d1) = 22826193,30218607,38802712,48723683,60118773 Dl.O(d2) = 254865454,30849181,23418960,23418959,254251086,30563286,30563287,30186249,22796455,22796456,17750818,12559618,8515271,8515272,12559620,17750820,24111184,24132721,31586134,24080446,17723320,12539081,12539080,17422874,17422124,17422126,12583822,8540875,8540871,12588857,17786511,20355578,16894853,11822846,7901048,254128862,12047835,17142720,267756712,24158282,24085097,24085096,254374140,17752213,12560740,12560739,17752212,254250852,31618170,24112871,17752235,12560759,8516252,8510123,8510121,12551340,17738967,17739010,17816288,24159912,24086379,17729077,12543153,254106688,3392646,3392645,5503595,8502838,12543146,12539844,8500960,5502591,5502592,8500962,9426806,6176869,6176870,5549771,3456816,3456812,5572647,8536535,8536532,8511733,8511731,11819102,11819098,12550855,8570728,8570729,12624660,12540370,8501233,8501234,12540352,17725035,24082313,18932414,18932415,25131042,18932464,18932465,25545341,31701915,31589610,254276102,24139429,24139430,28348320,21135275,267899706,254864836,12551584,8510249,5510429,3398591,3398592,5510430,8510251,12551588,8542174,5539885,3425077,3425076,254080708,12590647,254075618,17788942,16580145,12531350,8492407,8492406,12531348,17714690,24070946,31576732,30037973,30037972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11038841, s2 = 13252016, dlinesl.size( ) = 28 s1 = 14007780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15157555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15157555, s2 = 8224626, int(edited[s2]) = 0 s1 = 15157555, s2 = 8224626, d1 = 13, d2 = 22 Dl.O(d1) = 254294345 Dl.O(d2) = 108622474,94335125,80278674,66849154,66849155,80278677,80278681,269636786,80278680,94335126,108622477,106590075,92291768,78264662,256141674,42575916,255272326,25769852,33559231,42575918,33701886,25895780,19235766,19235767,17870051,12654695,8591772,5582634,3463719,3463716,5582624,8401179,12430287,17610104,19129677,14415111,9914055,9914056,13203927,13203929,18580142,25133671,25470181,24247086,17870265,17870264,22393041,16233342,11285542,11285541,16233339,22393037,29753525,28374898,28374897,36871460,42282555,41758187,32837346,32837347,28481150,26627858,26627860,27962006,20800040,20800039,27962004,36420170,34616922,26627325,26627324,26628573,19817363,14195379,255314577,26628577,26628126,26628127,25134159,18580484,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21673822,15636044,268050748,7150904,268042941,9758175,14194967,19816761,26627868,29425877,37987375,35337608,27213379,20284891,20284892,27213380,29732768,22375309,16219530,13926459,13926457,19037316,25655943,30290859,22892569,22892570,17769504,17769506,21671286,21671287,28950999,28951002,28841244,26131592,26131591,21991469,15893976,11018237,11018236,15892855,254758337,254758339,15892864,21989841,29318462,254655804,11018039,7294225,4600121,267887975,11018041,15893619,21990896,25896285,21990856,21990855,21157142,21157141,28374240,27207165,27207166,26159049,24132916,21991048,21991047,19235300,13742649,13742650,19235305,25895215,33701316,28973837,21691325,21691326,15817166,15817165,15461515,10690717,7062697,7062696,10690713,15461511,21461792,21494504,21494506,21379680,15894537,15894536,21379665,28615710,255535806,258674181,258219636,259466896,152540107,164402251,261802362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15157555, s2 = 8224626, dlinesl.size( ) = 2 s1 = 15157555, s2 = 8224626, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15157555, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 16271800, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16271800, s2 = 15039540, int(edited[s2]) = 0 s1 = 16271800, s2 = 15039540, d1 = 184, d2 = 165 Dl.O(d1) = 28520099,37018208,46896843,58263767,70979517,84542941,98465044,112455168,126321218,139696020,152421758,164296537,263490509,184683075,193051917,200233689,206299193,264189682 Dl.O(d2) = 245744252,267383962,245335359,245181390,245017017,244841940,244655892,244456297,244241941,244010533,243761918,243493613,243205091,242897711,242567671,242213296,241829883,241414592,240966213,240481881,239960024,239397142,238787034,238122942,266219578,235709270,234741052,265706272,265373852,228154356,226305273,264478996,221732397,218877829,215496786,211404626,206398160,262192386,262192384,206398159,263511778,218877827,221732400,224181660,226305276,224181663,224181656,264191736,215496768,211404613,206398154,200344913,193178925,193178926,200344914,206398157,211404621,215496778,218877823,221732388,221732387,221732396,218877819,215496773,211404618,206398155,206398157,263870430,263870432,215496779,218877825,221732391,218877820,215496775,215496774,218877812,215496766,211404611,206398153,200344913,193178925,193178926,262673930,211404614,215496770,211404617,206398155,206398156,211404620,263870428,211404614,215496770,215496771,215496780,215496760,211404609,262673928,193178925,184829674,260547438,152640949,139934775,126571091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16271800, s2 = 15039540, dlinesl.size( ) = 2 s1 = 16271800, s2 = 15039540, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16271800, Dl.E( ) = 190, 4.48e-05 seconds used appending s1 = 12386911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13365864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13290826, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14287892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14287892, s2 = 4324036, int(edited[s2]) = 0 s1 = 14287892, s2 = 4324036, d1 = 44, d2 = 28 Dl.O(d1) = 264805707 Dl.O(d2) = 166516968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14287892, s2 = 4324036, dlinesl.size( ) = 2 s1 = 14287892, s2 = 4324036, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14287892, Dl.E( ) = 62, 4.2e-05 seconds used appending s1 = 11030882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11706552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12391117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12391117, s2 = 9414274, int(edited[s2]) = 0 s1 = 12391117, s2 = 9414274, d1 = 0, d2 = 0 Dl.O(d1) = 261578098,260430504,91297893,91297894,260265135,133622184,139954206,126594804,112735504,259858950,86747113,93595634,79953998,66546378,54351759,44316413,44316415,268845702,61062299,49613113,255779134,23516584,23516585,30979238,39629062,44211061,34859668,27604449,20564179,14751350,14751351,14288885,14288889,9830775,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047601,2423268,2423267,4040527,2420914,2420911,4040555,6442058,9800486,14259509,19906444,26745734,34772505,44097193,54905010,61038147,73811141,80162909,76963617,76963618,87406910,73789679,73789680,80782318,67312682,54985119,54985118,67312679,258986489,258986491,104449892,257943642,256773192,271162955,259820450,95010923,262568899,263794391,264680521,218308471,221229466,223731037,225898167,274544033,274741369,274827224,240366763,266716860,266491154,274657340,274546586,265679296,274389689,214733535,263816870,191623996,262112414,162024731,260448604,259221410,94069586,79986726,259754689,97600148,111538615,122766139,122727358,259804842,94593651,94593650,107998791,122416020,136390322,260353368,260434166,123113293,108870012,108870011,257346644,79450711,66072009,66072011,66072466,53985370,53985371,53981837,46346716,46346717,54555889,54555892,54922395,57695866,54059558,43490564,43490562,43508812,54088968,66211486,259046120,75515619,258945147,258229207,259476793,261595919,260592838,127191593,135232501,121382465,107085002,92744372,78680839,65375856,53371675,42905603,33860437,26039001,26039000,26039002,19360951,13848411,13848410,19360948,26038997,33860433,257244819,269540191,78680837,92744354,78680829,78680828,65375846,65375845,77566491,259032335,105722031,119957756,133565825,119691291,105453170,91231595,91231594,77312357,77312356 Dl.O(d2) = 261578098,260430504,91297893,91297894,260265135,133622184,139954206,126594804,112735504,259858950,86747113,93595634,79953998,66546378,54351759,44316413,44316415,268845702,61062299,49613113,255779134,23516584,23516585,30979238,39629062,44211061,34859668,27604449,20564179,14751350,14751351,14288885,14288889,9830775,6457977,4047985,2423372,2423369,4047983,2423372,2423369,4047601,2423268,2423267,4040527,2420914,2420911,4040555,6442058,9800486,14259509,19906444,26745734,34772505,44097193,54905010,61038147,73811141,80162909,76963617,76963618,87406910,73789679,73789680,80782318,67312682,54985119,54985118,67312679,258986489,258986491,104449892,257943642,256773192,271162955,259820450,95010923,262568899,263794391,264680521,218308471,221229466,223731037,225898167,274544033,274741369,274827224,240366763,266716860,266491154,274657340,274546586,265679296,274389689,214733535,263816870,191623996,262112414,162024731,260448604,259221410,94069586,79986726,259754689,97600148,111538615,122766139,122727358,259804842,94593651,94593650,107998791,122416020,136390322,260353368,260434166,123113293,108870012,108870011,257346644,79450711,66072009,66072011,66072466,53985370,53985371,53981837,46346716,46346717,54555889,54555892,54922395,57695866,54059558,43490564,43490562,43508812,54088968,66211486,259046120,75515619,258945147,258229207,259476793,261595919,260592838,127191593,135232501,121382465,107085002,92744372,78680839,65375856,53371675,42905603,33860437,26039001,26039000,26039002,19360951,13848411,13848410,19360948,26038997,33860433,257244819,269540191,78680837,92744354,78680829,78680828,65375846,65375845,77566491,259032335,105722031,119957756,133565825,119691291,105453170,91231595,91231594,77312357,77312356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12391117, s2 = 9414274, dlinesl.size( ) = 2 s1 = 12391117, s2 = 9414274, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12391117, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 233408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12393743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3256578, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6970163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15159024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12602410, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16113001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16113001, s2 = 14197804, int(edited[s2]) = 0 s1 = 16113001, s2 = 14197804, d1 = 176, d2 = 179 Dl.O(d1) = 20941683,20941684,28118934,36591874,46458042,258634937,97921361,111855544,125671318,139010025,151714029,139876575,126511023,112646565,98650206,84720025,84720026,84720024,71150279,58428650,47054024,37163253,28646868,21405000,15417523,10657567,7037884,4428365,2657840,2657841,4428369,7037890,6859423,4304979,4304980,6859426,9382671,6146785,3846275,2304688,2304689,3846277,6146790,9382681,12716565,12716563,17946017,18522039,13160373,8970446,8970445,12713514,8638257,5617828,5617829,8638259,12713520,10614711,7004617,7004616,10614708,254646300,5969208,5969209,9122315,8970878,8970879,9136883,6516699,6516701,9916115,9916018,9916017,14417537,20107277,21416897,15426974,15426975,21416899,28661803,37181496,47075315,58452281,71174351,84743586,98672246,112667605,260884810,126530962,139894732,152603158,164457787,175237784,184803828,193156180,200324717,206379651,211387503,215480541,218862577,216122976,212139618,207264006,201351356,194325464,186122574 Dl.O(d2) = 35192036,27103069,27103064,27103065,35192029,35192037,44570145,55417290,67757370,259168187,95280635,81223360,81223359,95280634,98364108,259276078,123726875,126206650,112346326,98364101,98364102,112346328,112346339,98364110,84454777,70898444,58185359,58185358,70898442,84454773,98364100,112346324,126206649,112346347,98364114,84454779,70898445,70898446,84454781,98364115,112346332,112346333,112346345,112346344,271762624,142617983,129248031,115320118,115320119,129248025,115320113,272522814,115320114,101241715,87241342,73619586,60868973,49465673,39532058,39532059,49465675,258850701,60869017,60869018,73619621,86544736,72944938,60205125,60205124,72944935,81223338,67757343,55417274,256753593,20203177,27103068,35192035,35192032,35192033,44570140,55417280,67757353,81223352,95280662,95280648,95280649,109535176,123726888,109589750,95334871,81275818,67808185,55466485,44617472,44617473,55466488,67808189,81275825,95334880,109589761,123726898,109589748,95334869,95334868,109589746,123779655,137266362,123535327,123535328,137266364,150307257,162443155,261752318,260628462,109589753,123779659,260992895,109438029,95182165,95182166,109438031,122377666,107951499,107951501,122377664,107951498,93514341,79377823,79377821,260363800,101616268,87649446,87649447,101616270,101238982,101238983,115317351,129245433,129245432,119883745,119883746,115317360,101239003,101239005,115317361,107951555,93514396,79377885,66009666,66009667,259056161,64842042,52917284,52917283,64842039,78039117,259683189,120367037,134200125,147411776,147014797,140855208,127498362,113625668,99611236,99611235,113625666,127498360,113625672,113625671,127498363,122377661,113625651,99611216,85661671,72074448,59340320,59340315,59340314,72074444,259362288,59700182,269814865,47948813,38035185,268939621,59340287,72074415,59340303,47948821,47948822,59340305,72074431,59340322,258115643,259364263,113625656,113573500,99611196,99611194,85661649,72074422,59340297,59340298,72074424,72018574,59281582,47885106,47885105,59281580,72018571,81097130,81097129,95154766,85661637,85661638,99557459,99557451,99557452,99557457,99557456,109534983,109534982,113327862,259759494,71792006,59050766,47649616,47649615,59050764,55417025,55417026,257882414,44449170,35074381,35074380,44449168,42425405,269089441,52829561,258424169,91868146,260293637,130612586,116787924,102695260,88686035,75035360,62212474,50692671,40633597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16113001, s2 = 14197804, dlinesl.size( ) = 68 s1 = 12402479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14995034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14288866, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8816240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8816240, s2 = 12917311, int(edited[s2]) = 0 s1 = 8816240, s2 = 12917311, d1 = 24, d2 = 25 Dl.O(d1) = 265316080,223245936,223245937,223245933,264901398,213920089 Dl.O(d2) = 273927055,213920080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8816240, s2 = 12917311, dlinesl.size( ) = 8 s1 = 15259563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14179262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5672220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5672220, s2 = 5765945, int(edited[s2]) = 0 s1 = 5672220, s2 = 5765945, d1 = 6, d2 = 12 Dl.O(d1) = 231335889,229907361 Dl.O(d2) = 228297542,229907366,231335891,266112827,231335892,232616278,233773709,234827271,235787162,236661080,237457945,237681326,236906910,236055630,236055631,236773754,236773755,236773756,235908791,266147352,232773199,231507836,230096242,228505685,226695904,265045132,219442188,216143548,212161970,207287882,201377275,194353534 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15160845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15160845, s2 = 7400833, int(edited[s2]) = 0 s1 = 15160845, s2 = 7400833, d1 = 1, d2 = 19 Dl.O(d1) = 90093658 Dl.O(d2) = 266271237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15160845, s2 = 7400833, dlinesl.size( ) = 2 s1 = 15160845, s2 = 7400833, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15160845, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 9015305, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9015305, s2 = 6385932, int(edited[s2]) = 0 s1 = 9015305, s2 = 6385932, d1 = 35, d2 = 6 Dl.O(d1) = 247360581,247386016,247410384,247434496 Dl.O(d2) = 247410383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9015305, s2 = 6385932, dlinesl.size( ) = 2 s1 = 9015305, s2 = 6385932, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 9015305, Dl.E( ) = 38, 1.6e-05 seconds used appending s1 = 11790166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12414951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10468852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12415007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11512547, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12037586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11024661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024661, s2 = 11027376, int(edited[s2]) = 0 s1 = 11024661, s2 = 11027376, d1 = 14, d2 = 12 Dl.O(d1) = 257689769,74850351,88485973,99350633 Dl.O(d2) = 256647236,47677267,37755058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024661, s2 = 11027376, dlinesl.size( ) = 2 s1 = 11024661, s2 = 11027376, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11024661, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11217309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11217309, s2 = 11482116, int(edited[s2]) = 0 s1 = 11217309, s2 = 11482116, d1 = 34, d2 = 31 Dl.O(d1) = 261217145,154336004,166085578,176722549,176721208,176721207,186133149 Dl.O(d2) = 194335390,264243693,212147744,216130296,212147746,212147745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11217309, s2 = 11482116, dlinesl.size( ) = 36 s1 = 11354733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354733, s2 = 14160257, int(edited[s2]) = 0 s1 = 11354733, s2 = 14160257, d1 = 15, d2 = 12 Dl.O(d1) = 152898047,262673895,273366490,164729449,164729448 Dl.O(d2) = 175482916,263511737,193353389,200502504,206539714,264737885,274352966,226372961,228215206,229833096,266107021,233723958,233723956,266323007,233723952,266130870,229833093,229833092,231270336,232559453,233723954,234783279,235644123,234671406,234671405,233723960,232559458,232559457,232788059,233930786,233605075,232432969,231136600,266208645,234671410,235644123,234671406,233605073,233605074,234671408,234671412,234671411,235644128,235644124,235644125,235644131,234671416,233605079,232432970,231136600,231136599,232432968,232432969,231136600,231136599,232432967,233605074,234671408,266342904,232559458,232559457,232788059,233723955,232559454,232559453,233723954,234783279,235644123,234671406,233605073,233605074,234671408,234671412,234671411,235644128,235644124,234671407,234671408,234671412,233605077,232432970,231136600,229690535,228061020,265673048,265334678,264924590,264686672,200156848,192963600,273325977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354733, s2 = 14160257, dlinesl.size( ) = 12 s1 = 12415463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10868496, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12415625, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11162099, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15279191, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15259978, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14283919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14283919, s2 = 16364440, int(edited[s2]) = 0 s1 = 14283919, s2 = 16364440, d1 = 1, d2 = 3 Dl.O(d1) = 31785151,28685667,28685668,37209772,38242492,32559681,24908698,18404146,13072392,10030232,6591924,6591926,8907969,10265652,8163537,8163536,8118335,8118333,12072816,17170211,23445143,21103601,15158949,15158948,21103595,28313953,21303828,21303827,22034799,28528454,21306359,15336921,15336922,16726609,13381848,9146904,9146902,8118282,8118281,12072720,17170077,17170138,15334440,15334439,21303267,28232265,27242153,254489746,20311253,14576309,10030135,10030133,12072781,12072778,17170156,267822562,15173073,21120641,21130638,17170224,12072822,8118338,8118339,12072825,17170231,23445160,30874786,30874747,28335567,21123624,21123623,21127028,28294354,28294353,35365433,27242075,27242076,28294329,255017304,10466799,10466798,254491806,4588169,4323198,2586195,2586192,4323191,6886710,10446630,15147113,15109189,15078149,15078148,15108521,15108519,21034795,21127550,21127557,15334839,254491076 Dl.O(d2) = 2596031,1497511,1497512,1495251,1495253,1495652,1495651,2593138,2594939,1496805,1496803,1497597,848612,479147,269641,149459,149424,82160,44950,44949,82157,149419,269562,478982,848238,1496952,2595151,4226794,2527325,2527324,2595131,1496933,1496932,2595129,2593617,2593616,2594384,4334581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14283919, s2 = 16364440, dlinesl.size( ) = 2 s1 = 14283919, s2 = 16364440, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14283919, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 16364439, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11119683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119683, s2 = 11004462, int(edited[s2]) = 0 s1 = 11119683, s2 = 11004462, d1 = 9, d2 = 0 Dl.O(d1) = 255957271,16803354 Dl.O(d2) = 993720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119683, s2 = 11004462, dlinesl.size( ) = 18 s1 = 14221264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14221264, s2 = 14052094, int(edited[s2]) = 0 s1 = 14221264, s2 = 14052094, d1 = 10, d2 = 8 Dl.O(d1) = 255516835,30526893,39125187,49055301,60459067,73206034,73206033,86818763,100799865,114851323,114851328,259443593,73206040,60459066,60459067,73206034,60459060,60459061,49055302,39125188,30526894,30526893,39125187,49055301,60459067,73206034,73206033,86818763,100799865,114851323,128749644,260659861,259443591,258196173,49055299,39125186,39125187,49055301,60459067,73206041 Dl.O(d2) = 86818763,100799865,114851323,128749644,260659861,259443591,258196173,258196171,60459063,49055300,49055301,60459067,73206034,60459060,60459061,49055302,258837694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14221264, s2 = 14052094, dlinesl.size( ) = 12 s1 = 10989783, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14320166, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12417181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12417199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10756872, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10756872, s2 = 11021212, int(edited[s2]) = 0 s1 = 10756872, s2 = 11021212, d1 = 14, d2 = 16 Dl.O(d1) = 48934475,60332325,258188087,48934487,60332343,73072827,60539231,60539230,60539544,49139649,39212851,39212850,49139647,60539540,73283401,259449735,114923616,100873374,86893851,86893852,73283384,73283382,73072786,60332332,60332333,73072814,73072800,60539125,60539126,60332318,48934466,48934465,60332315,50390534,50390535,60539262,60539565,73283148,60539463,49139523,49139522,60539358,60539530,49139637,39212834,30616177,23195533,16927686,11847470,7918359,7918358,11847468,16927685,23195528,30616197,39212864,39212806,30616148,30616149,30615942,23195374,16927605,11847429,7918340,7918336,11847418,16927587,23195340,30615882,39212427,49139210,49139528,49139529,60539467,73283356,86893917,259449733,73283389,258825469,60539397,60539396,258041550,39212524,30616159,23195501,16927669,16927668,23195500,256469377,39212745,30616110,30616111,30615876,23195336,23195335,30615874,39212421,39212425,30616154,23195497,16927666,11847458,7918352,7918351,11847456,16927599,23195367,30615934,256314180,49139596,39212781,39212782,49139598,60539512,73283123,60539163,49139216,39212751,30616115,23195479,268423589,39212626,30616010,23195408,23195407,255968361,23195507,30616173,30616105,30616106,39212741,257014063,49139200,39212709,30616080,23195455,16927645,16927646,23195457,30616082,39212382,30615842,30615843,30615831,23195309,23195310,30615834,23195488,16927661,16927654,11847448,7918348,5034189,3048013,3048012,5034185,254815423,16927626,23195413,30616014,39212629,49139461,60539400,60539503,49139585,49139586,60539404,49139465,39212635,30616018,23195415,16927627,16927628,23195417,256469365,39212693,30616069,23195450,16927641,16927640,23195446,30616063,39212688,49139162,49139156,269368519 Dl.O(d2) = 49199166,49199167,47445414,37537362,28992182,21707875,15666033,15666032,21707870,28992178,37537353,39212614,30615999,30616000,257014049,39212377,39212378,39212768,49139578,60539280,49139349,39212542,30615949,30615948,39212538,49139340,60539273,49139424,39212593,30615977,23195389,16927615,16927614,23195385,30615968,39212581,255968350,73283289,73283304,73283303,73283309,60599876,60599875,60539290,60539289,73283253,73283338,73071397,73071396,86676163,86676166,100649171,86893861,73283285,60539339,49139399,46907136,46907135,47445409,47445410,58831458,71558873,60539374,49139444,49139446,60331152,60331153,49139457,49139344,46907153,37029856,37029857,46907157,49139437,39212607,30615991,23195396,23195395,30615972,23195404,23195403,28992173,28992172,37537342,39212595,49139427,60539363,60539388,49139452,39212620,39212619,49139202,60539154,73071401,60330852,48933046,48933049,60330856,73071403,73071408,60330860,60330859,60539393,49139455,49139456,49139434,49139435,269410820,73283280,62508803,60539372,60539373,73283260,60539299,49139368,39212557,30615959,28531694,28531692,37029851,39212611,30615993,23195399,16927619,11847434,11847435,255522483,30616006,30615981,30615982,39212600,49139432,60539303,60054243,60054242,60539385,73283278,60539330,60539328,58282242,46916808,46916809,58282244,65967605,60331949,48934160,48934159,46916801,37039089,28540393,21316823,16775960,11729193,7830611,7830609,11729186,16775952,23016008,30421183,30420357,30420354,39009622,40595011,48933903,39010803,30421424,23016187,16776053,11729234,11729236,12731230,16776038,19668938,19668937,26403356,34278545,43377551,53901369,43377544,34278540,26403352,26403351,34278532,37039074,31887265,31887263,31887300,31887298,39009642,30420369,23015313,23015312,30420364,37039101,32618260,24952225,24952226,23016055,16775983,11729204,7830614,4970554,4970555,7830621,11729211,16775995,23016077,30421253,39010598,41553307,41553306,51836376,48933929,39010545,30421197,23016013,23016011,30421191,39010539,30421387,30421385,39010578,39010579,48933104,41498899,41498900,46916799,37039086,31887318,31887317,28540382,28540383,37039079,31887305,24360074,17965369,17965308,12731194,11728835,11728837,16775423,23015323,30420373,39009649,30421227,23016047,23016045,30421214,255127482,39010755,39010754,31887291,31887292,255127468,39010268,254371128,24952061,21316820,15345764,15345762,21316817,28540388,30278939,24360082,24360083,31887312,40595089,255955368,24360044,17965350,17965351,12815256,8713205,8713206,12815265,17965317,24360011,24360025,30421217,31887228,30421408,23016170,16776045,16776046,18465367,13118079,8940845,8940844,13118073,16775987,21666530,21666529,28945722,30421052,23015892,23015893,17346872,17346873,16227942,16227940,18436036,19668961,14099276,9697417,6378045,6378046,9697420,11729084,11729082,16775795,12815354,8713261,5671922,5671921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10756872, s2 = 11021212, dlinesl.size( ) = 2 s1 = 10756872, s2 = 11021212, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10756872, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 12417367, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655145, s2 = 11025368, int(edited[s2]) = 0 s1 = 11655145, s2 = 11025368, d1 = 26, d2 = 3 Dl.O(d1) = 208758919,203153344,260804356 Dl.O(d2) = 157995217,145592485,132346240,256588318 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15260103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15260123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15260123, s2 = 739164, int(edited[s2]) = 0 s1 = 15260123, s2 = 739164, d1 = 1, d2 = 47 Dl.O(d1) = 1464882,828941,828940 Dl.O(d2) = 63774748,58560502,58560503,60046198,48649617,38728419,38728420,39025144,30435497,23028775,16786193,16786194,20798697,20798698,25206033,27960468,20798711,20798710,255635032,16992823,11907115,11907116,16992825,23256164,30672138,39268335,40543552,31845415,24325635,24325634,29346840,22014815,22014814,29346837,29346777,22014732,16474896,16474897,22670718,22670751,16474917,16474918,18839344,18839343,25434406,33177978,42135701,37915812,37915813,38180901,38180902,41122608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15260123, s2 = 739164, dlinesl.size( ) = 16 s1 = 14039481, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15290124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15290124, s2 = 11032050, int(edited[s2]) = 0 s1 = 15290124, s2 = 11032050, d1 = 12, d2 = 8 Dl.O(d1) = 254825450,23235074,21693939,17042180,17015392,11930739,7983905,5081323,5081322,7971988,11917216,17004179,23227385,17026489,17026490,16980247,16980249,17099574,12013668,8071547,5165348,3147646,1841244,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073719,5073838,7973474,7955590,7955592,5060545,5060541,7944079,7944076,7797386,7797385,5074235,3076970,1795341,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175931,5175935,7934166,5044824,5044823,254816743,11874134,7937497,5047722,254382268,11874128,16962177,23233562,22284026,22284027,21709131,15667241,10845957,7170082,4516029,2713809,2713810,4516034,7170091,10845975,11904413,16246887,11295390,11295391,11691174,7947028,5053839,5053836,7947013,11689019,11211190,11211192,7952415,7952416,11684817,7952387,7952386,11871728,11871727,10846268,7569785,5870760,3665715,3665714,5870757,8992036,11926261,11926262,15134605,10438362,10438364,15134608,11687538,11687540,16730068,11916967,11916966,17003988,16975809,11888618,11888617,11902487,16987588,23238185,16966822,11878739,11878737,16966816,17021436,17011227,16077658,11925393,11925394,17011240,16372295,11394082,11394081,12361771,12361770,16969939,11882099,10878668,7192319,4531066,4531068,5047127,3752664,2247233,1303511,743734,422459,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164468,8070351,254256230,23239264,16993920,254822478,7965399,11908483,12360695,8351706,5390578,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,3078035,3315493,5391787,7957975,7957974,8347911,8347914,12355751,12154865,8185254,8185253,7231659,4558142,4558144,5388617,3313527,1949319,1949322,3313539,5388633,7470212,254256612,4534021,2725488 Dl.O(d2) = 4064582,6486605,6486604,9874057,9893842,7144447,7144446,6486692,4539099,4539100,7204720,9865692,6480692,6480693,6498186,9883251,9883252,255325453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15290124, s2 = 11032050, dlinesl.size( ) = 14 s1 = 14289533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12418485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11113475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11113475, s2 = 6662499, int(edited[s2]) = 0 s1 = 11113475, s2 = 6662499, d1 = 34, d2 = 21 Dl.O(d1) = 37762996,37762998,37762976,37762977,47685171,52061662,41747952,257070486 Dl.O(d2) = 257070518,34046164,43121677,53622380,65670372,79021797,93138056,99471461,261149951,269778412,58375572,47005431,37119425,28609371,21374483,21374484,28609373,26191995,19482967,255707721,34046163,43121675,53622376,58198468,46832411,36954224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11113475, s2 = 6662499, dlinesl.size( ) = 26 s1 = 11081331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081331, s2 = 11366944, int(edited[s2]) = 0 s1 = 11081331, s2 = 11366944, d1 = 7, d2 = 2 Dl.O(d1) = 28659646,270153132 Dl.O(d2) = 71171974,260526483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11081331, s2 = 11366944, dlinesl.size( ) = 10 s1 = 12419587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10411877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15162787, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12611956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12420215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12420723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15297699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15297699, s2 = 12420724, int(edited[s2]) = 0 s1 = 15297699, s2 = 12420724, d1 = 0, d2 = 0 Dl.O(d1) = 44776271,35351734,27228757,27228758,254513810,15783846,10934502,10934150,10934149,15783318,255058464,23924920,23924919,255058646,31414528,23924907,23924906,23924939,17583811,17583810,23924937,24540209,24540208,31414568,29484619,22146339,255431062,27228707,27228706,30654244,30654247,37724014,29164086,21855396,15783862,15783863,21855399,29164091,37724018,47645965,40094354,31414579,23924945,23924944,31414573,40094348,35351690,27281273,21854688,15783335,15783334,21854685,29163346,37723287,47645324,47645919,39496918,30889740,23457116,22134994,16018982,11122329,11122330,16018986,22135000,29470933,29164007,21855324,15783812,15783814,21197619,21197620,28420047,31414481,23924981,23924982,29163453,21854778,21854777,29163451,37723383,47645395,50115237,58615694,47644151,47644150,49414002,58163100,55684430,44776238,44776239,47361751,37455607,37455606,40094270,31415015,23925297,21558324,15537588,12411443,12411441,17584031,23925298,255431176,47278872,37369307,28829266,28829267,37369308,47278766,47278067,47278068,53203353,42754278,42754279,49934806,39916827,31241328,23757277,19524623,13977560,13977561,19524628,26241787,23120114,16860327,11792585,11792583,16860322,255962839,29248859,29309938,21982198,15886596,14329581,9843685,9843686,14329585,14994888,14994889,20899081,21555994,21019047,15096463,10411792,10411793,15096466,21019052,21712325,21712323,25417705,18826139,18826140,25417707,29280632,34661160,26668603,26668604,30712707,39310386,43934928,54677719,256336900,27048582,257914459,53206636,53206637,256080386,255226866 Dl.O(d2) = 44776271,35351734,27228757,27228758,254513810,15783846,10934502,10934150,10934149,15783318,255058464,23924920,23924919,255058646,31414528,23924907,23924906,23924939,17583811,17583810,23924937,24540209,24540208,31414568,29484619,22146339,255431062,27228707,27228706,30654244,30654247,37724014,29164086,21855396,15783862,15783863,21855399,29164091,37724018,47645965,40094354,31414579,23924945,23924944,31414573,40094348,35351690,27281273,21854688,15783335,15783334,21854685,29163346,37723287,47645324,47645919,39496918,30889740,23457116,22134994,16018982,11122329,11122330,16018986,22135000,29470933,29164007,21855324,15783812,15783814,21197619,21197620,28420047,31414481,23924981,23924982,29163453,21854778,21854777,29163451,37723383,47645395,50115237,58615694,47644151,47644150,49414002,58163100,55684430,44776238,44776239,47361751,37455607,37455606,40094270,31415015,23925297,21558324,15537588,12411443,12411441,17584031,23925298,255431176,47278872,37369307,28829266,28829267,37369308,47278766,47278067,47278068,53203353,42754278,42754279,49934806,39916827,31241328,23757277,19524623,13977560,13977561,19524628,26241787,23120114,16860327,11792585,11792583,16860322,255962839,29248859,29309938,21982198,15886596,14329581,9843685,9843686,14329585,14994888,14994889,20899081,21555994,21019047,15096463,10411792,10411793,15096466,21019052,21712325,21712323,25417705,18826139,18826140,25417707,29280632,34661160,26668603,26668604,30712707,39310386,43934928,54677719,256336900,27048582,257914459,53206636,53206637,256080386,255226866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15297699, s2 = 12420724, dlinesl.size( ) = 2 s1 = 15297699, s2 = 12420724, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15297699, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14289845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14289855, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12612594, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12612594, s2 = 14671474, int(edited[s2]) = 0 s1 = 12612594, s2 = 14671474, d1 = 132, d2 = 123 Dl.O(d1) = 16891749,16891753,23152688,30570142 Dl.O(d2) = 260069420 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10561846, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15279458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12421799, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118587, s2 = 6793750, int(edited[s2]) = 0 s1 = 11118587, s2 = 6793750, d1 = 7, d2 = 15 Dl.O(d1) = 48719383,257300264,27308222,20366895,14618473,10057997,10057998,10064076,6611566,4182680,2501001 Dl.O(d2) = 9143126,9143128,255658827,256636979,259022977,48838652,44574531,44574530,55421789,258539571,95285689,109540322,123731766,259501028,122375433,257645402,53935618,43408568,34307158,26429285,26429284,30115595,254847298,11519611,268092235,11937546,17022156,23281057,256475597,30696473,26891475,256210761,44348131,256410692,49213188,39286638,30689307,255531532,49213186,46688451,36804337,28307445,21097758,21097757,28307442,28307424,21097745,21097744,28307415,36804309,46688406,58005416,257033904,36742529,257411011,38051189,29487608,29487609,256926687,39187444,42677004,33647415,25843751,25843750,33647412,259697861,260863807,272223634,146902162,133648973,119779131,119779132,119779129,258782896,77409600,77409601,258159046,256426098,33111135,28931319,21653934,21653933,15619328,15619329,254789282,31311933,268411070,255927802,61484585,270902277,90871357,258378848,41749990,256106362,8997051,5873925,254639805,8997047,13198031,18572620,18571635,13197244,13197243,18571633,18572619,25124036,32828441,41749116,256106319,18572172,18572173,18572002,18571999,18572000,25123957,25124117,25124116,32828523,41749196,41749076,32828404,32828405,32828626,25124435,18572348,18572349,18571225,13196987,13196986,18571221,25122953,32827191,33820079,26002895,26002894,33820077,41749055,52062095,41748393,41748391,42859942,41747499,32826875,32826874,41747498,257764245 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118587, s2 = 6793750, dlinesl.size( ) = 12 s1 = 12422457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14222320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14222368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10977987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14014083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14302892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14302892, s2 = 621463, int(edited[s2]) = 0 s1 = 14302892, s2 = 621463, d1 = 22, d2 = 17 Dl.O(d1) = 260943691,107629903 Dl.O(d2) = 15934524,19742546,24569817,256069021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14302892, s2 = 621463, dlinesl.size( ) = 16 s1 = 14290160, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11444191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11444191, s2 = 14157885, int(edited[s2]) = 0 s1 = 11444191, s2 = 14157885, d1 = 37, d2 = 39 Dl.O(d1) = 264864233,274296337,263864566 Dl.O(d2) = 254833149,6475147,6475148,9857479,14347349,11989731,11989732,255531779,17076699,11989765,11989764,11985963,8036328,7526317,4759768,2869023,2869025,4759773,5123929,3150525,3150523,5151003,5172680,5128309,3116979,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591190,1051101,1841814,1841816,1816567,1816570,1848447,3157911,5107008,3104106,1843687,1843691,3151262,5106165,5110468,5226835,5108894,3101971,1812412,1812411,3101951,5038486,5038488,5150579,3134924,1832885,1046028,1046031,1832864,3107088,4994145,5111079,3103560,1813423,1813425,3103569,4994450,4762478,2870795,1666101,947737,947739,1666114,2870831,4762373,2870720,2870717,4762362,3156413,3156410,5152613,5152609,5163611,3146522,2867307,1837154,1048379,1048383,1837174,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1825031,1825030,3097303,3017583,3017582,3115424,1867418,1813194,1035401,1035399,1813190,3103230,5110612,254822127,11165505,8022943,5111867,3104175,1813774,1813776,3104178,5111870,5233888,254825411,11981532,12003191,8057243,5148580,5148579,8057241,8037652,5127821,5101919,3096892,3096893,5101922,5127799,3116574,1821333,1039768,585532,585533,1039772,1821343,3116590,5127837,5161564,8046594,11977256,11977255,8036210,8036211,5127966,5127963,8037787,8020725,8020724,9857620,6475272,4057774,4057772,5111889,8022960,8059742,8059743,5175689,5175688,6476091,6476090,9858727,14347463,9857580,9857581,9857603,9857602,7795426,7795428,8032242,8032239,11982633,8163963,5233898,5233894,8037758,8037571,8018575,5107180,5107177,8018565,5120956,5120960,6475711,6475646,4058023,2428896,2428895,4058000,2428922,2428920,4058065,6475723,7795291,7792802,4941068,4941066,7792792,11685877,11686312,11686314,11686376,254805468,11686335,11686336,16728996,16719829,16719830,16729780,22965835,20030247,14347186,14347187,20030248,26914688,22966860,22966859,23351407,30775141,26914708,20030287,14347247,9857390,9857393,9857427,6475110,6475111,9857442,7793768,4941678,4941679,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792984,11679911,7788290,7788289,8080201,12020565,17106451,22964918,16728591,16728590,22957448,16721328,254369524,16722491,11686198,267753206,2981762,2981763,4937814,4937850,6475681,6475679,6862108,10410049,11690954,11679920,7788295,4937900,4937901,7788302,11679934,16721526,16717623,15982162,11687051,11687050,9858613,7750798,7750797,11634564,14348690,16716577,11685860,11685859,16715598,22453487,16284296,16284294,16667896,11633660,7750223,7750224,11633661,11095441,7358532,4648229,2799870,2799869,4648227,7358456,6476044,6476045,7784632,7797089,4944400,2984100,1732448,984915,984916,1732453,2984109,4944412,7797104,7784833,254552292,11676200,7784872,7784851,4934964,4934967,7784863,11634429,7750709,4908528,4908530,7750720,11634039,11095060,7358289,4648091,4648090,7358284,11095050,15982045,16717628,22954297,23365677,22898308,22898309,16668543,16668542,22898893,22899533,16718108,16718109,16667682,11633485,7750119,7750118,11633479,11633323,11633325,16667478,17026572,17026573,22602391,22954444,22954442,29419130,22954395,22954394,254817012,22048722,15945548,11065186,11065185,12014752,12014751,16667574,16667573,22897956,16961557,11873559,11873560,16961562,21357240,21357241,28588202,29793898,29793899,37542188,30761632,23338760,17072571,11984305,11984304,17072568,23338756,28588180,22954910,16718374,11873589,11873588,16961619,23234151,30655372,30145200,22758291,22758292,30145203,38726617,30757555,30757554,28996859,21712190,21712191,28588206,21357246,21357245,22453322,22453321,29820645,38392885,38564507,38564506,30761702,30761703,23361743,23359451,17090773,12003292,8057419,8057418,12003286,17090757,22048694,22048695,16720373,11678673,11678672,16720366,16961586,16961587,11873593,11873597,7977440,5076753,3078734,3078733,5076746,7977428,11923324,17009382,17004904,11918184,7972955,7972952,11918178,17004894,23268387,23363830,23363831,30699873,23341155,17656301,12485725,11979404,11979407,8033668,5123162,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5229518,8158749,11920686,11890467,11890466,7992884,7992885,10770619,7116396,4480640,4480641,7116392,10770609,7116462,6116576,6116580,9338128,11869445,11869449,11950351,11950347,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,7968909,7968910,11913023,8474876,8474877,12509997,17242869,23550940,23265582,17001873,11915203,11915202,16261288,11327140,11327141,9163552,9163553,13403323,15665762,11907414,11907413,12017996,9163629,9163628,11906737,11906739,11939767,10771552,7117062,4481047,4481048,7117067,5049282,3059208,1783351,267900840,7939391,11876407,16964489,254563970,17103124,12017573,8076936,8076937,12017575,17103126,22755788,16544470,258693945,15553019,10757010,10757011,11202346,11202345,11150508,7395728,4672150,4672152,7395734,11100950,255077947,7395554,4672060,2814753,1633000,267789883,4672062,7395555,11150258,16058623,255891343,16065149,16065148,11155111,255078467,11154402,11154080,11154081,268222311,268633083,256388171,43839841,34568141,26581788,19778589,14166926,14166925,19778587,24128522,17765349,12571549,8525760,5524406,5524407,8525762,12571554,17765362,24128535,29534823,28341022,21128900,15180399,15180403,16064685,22193017,22191889,16063792,11154127,11154129,16063799,22191900,22192185,16064014,16064013,16064043,11154275,7398488,7398485,11154261,16064022,22192097,16063951,16063950,22192095,29535331,22192104,22192107,22671795,16475745,11479431,7635036,7635035,11479422,16475734,16474182,11478360,11478362,16229813,11282483,7489504,7489503,11282480,16229807,11811529,11811530,15133973,16881984,17523230,23867361,22670302,16474494,11478561,7634479,254936178,254304198,6275043,3929108,2352249,1362600,1362598,1341737,1341742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11444191, s2 = 14157885, dlinesl.size( ) = 44 s1 = 2930412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 2930412, s2 = 14068506, int(edited[s2]) = 0 s1 = 2930412, s2 = 14068506, d1 = 8, d2 = 0 Dl.O(d1) = 87230743,73609733,60859918 Dl.O(d2) = 53506761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 2930412, s2 = 14068506, dlinesl.size( ) = 10 s1 = 11302795, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11302795, s2 = 11224946, int(edited[s2]) = 0 s1 = 11302795, s2 = 11224946, d1 = 4, d2 = 6 Dl.O(d1) = 258523052 Dl.O(d2) = 254969274,10704111,10704112,15479157,19652668,14095418,254408350,19660193,17266429,17266428,17267363,12637369,8580252,6373118,6373117,9688883,14086035,14229033,9781681,6431218,6431220,7744130,7744132,11625894,8578191,8578190,5573760,5573761,8578342,6066022,6066019,9261594,13531354,18966805,19654443,19660260,14092326,9692722,6375175,4000136,2397243,1387273,1387272,2397236,4000080,2397283,1387289,1387287,2397276,4000043,3998980,3998976,6372772,9688175,9691073,6374295,3999702,2397033,2397034,3999709,6374315,9691114,14089866,19656977,19658125,19664579,19664580,19664588,14095771,9694850,6376313,6375571,4000304,4000303,6375566,9692739,6375184,4000144,4000145,4000152,6375212,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099,319096,569711,1010805,1773289,3044683,5029517,7911622,11837935,8086223,5181003,5181001,7029088,7029087,255400323,256861173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11302795, s2 = 11224946, dlinesl.size( ) = 12 s1 = 16294384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294384, s2 = 11238680, int(edited[s2]) = 0 s1 = 16294384, s2 = 11238680, d1 = 136, d2 = 82 Dl.O(d1) = 263055622,271283464,27989113,259864611 Dl.O(d2) = 260477014 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 10673744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14290350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14943878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12426875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11895192, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12427377, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14020873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14020873, s2 = 12556652, int(edited[s2]) = 0 s1 = 14020873, s2 = 12556652, d1 = 8, d2 = 1 Dl.O(d1) = 2296990,1332818,761180,761182,1332824,2297000,2296909 Dl.O(d2) = 2296913,3833706,6127162,9353988,8696293,5660273,5660274,6202309,3882123,2324698,2324699,3882127,6202319,9459401,13794833,19294477,21349521,15593637,10787362,7127348,4487190,2695855,1561762,887898,500976,280950,280949,500972,887893,1561755,2695816,2695815,4487102,7127176,10787056,15593131,15588137,10783497,10783496,14928129,20291364,15808525,10954632,10954631,15808524,21884803,25905442,26619435,34607544,43878183,54620556,66878418,257065140,94364646,108652697,122917803,136749749,149891707,162104148,173204534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14020873, s2 = 12556652, dlinesl.size( ) = 2 s1 = 14020873, s2 = 12556652, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14020873, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11000245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12428255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15165239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12428961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12429631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15261321, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10709508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10390594, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15279916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12432181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12617482, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8588840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12617698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12617800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16052692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12433359, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14204938, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12433777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12433777, s2 = 14290958, int(edited[s2]) = 0 s1 = 12433777, s2 = 14290958, d1 = 0, d2 = 0 Dl.O(d1) = 135205722,121354871,107057891,92718394,78655832,256983246,268649236,268093506,26022557,267833048,9490788,6224198,6224197,8741993,6223138,6223137,9487362,6221633,3894582,2332034,1351498,771411,438256,247297,247299,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438216,771073,1351850,2331944,1351571,1351574,2332155,3894811,6221891,9487661,13832394,12747605,12747604,13836980,12784589,12784590,18035902,24453570,25914733,19252657,13835305,13835303,19342930,267895660,42880214,53344345 Dl.O(d2) = 135205722,121354871,107057891,92718394,78655832,256983246,268649236,268093506,26022557,267833048,9490788,6224198,6224197,8741993,6223138,6223137,9487362,6221633,3894582,2332034,1351498,771411,438256,247297,247299,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438214,438275,247303,247306,438216,771073,1351850,2331944,1351571,1351574,2332155,3894811,6221891,9487661,13832394,12747605,12747604,13836980,12784589,12784590,18035902,24453570,25914733,19252657,13835305,13835303,19342930,267895660,42880214,53344345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12433777, s2 = 14290958, dlinesl.size( ) = 2 s1 = 12433777, s2 = 14290958, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12433777, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14290957, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14764298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14764298, s2 = 821835, int(edited[s2]) = 0 s1 = 14764298, s2 = 821835, d1 = 19, d2 = 22 Dl.O(d1) = 264723079,274266051,265169319,215412440 Dl.O(d2) = 21299024,15331285,10588752,10588753,15331294,16672405,14122947,9716311,6391965,6391962 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15076238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15076238, s2 = 2892270, int(edited[s2]) = 0 s1 = 15076238, s2 = 2892270, d1 = 67, d2 = 63 Dl.O(d1) = 155726662,167361414,263627793,195203269 Dl.O(d2) = 86315696,260029333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15076238, s2 = 2892270, dlinesl.size( ) = 8 s1 = 11451697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11451697, s2 = 14308601, int(edited[s2]) = 0 s1 = 11451697, s2 = 14308601, d1 = 5, d2 = 20 Dl.O(d1) = 193581563 Dl.O(d2) = 175770667,165038823,153220421 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11451697, s2 = 14308601, dlinesl.size( ) = 16 s1 = 11515969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11515969, s2 = 11615146, int(edited[s2]) = 0 s1 = 11515969, s2 = 11615146, d1 = 112, d2 = 98 Dl.O(d1) = 264989200,210373266 Dl.O(d2) = 242170696,267115723,242528332,267183363,243171040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11515969, s2 = 11615146, dlinesl.size( ) = 36 s1 = 12434983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13855576, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13731105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12435895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10882092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14291124, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11181467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12437831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14211514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14224426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7243072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15775628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15775628, s2 = 15302466, int(edited[s2]) = 0 s1 = 15775628, s2 = 15302466, d1 = 7, d2 = 7 Dl.O(d1) = 263022283,191857453,199231809,264417917,264681229,218321428,217773431,217773432,217773433,265076626,225624335,227566972,266065253,230943537,229471627,227815103,225928420,274169730,218358600,264422282,205523755,199290375,263800935,273057519,123625826,109432347,95176178,81117749,67651183 Dl.O(d2) = 263022283,191857453,199231809,264417917,264681229,218321428,217773431,217773432,217773433,265076626,225624335,227566972,266065253,230943537,229471627,227815103,225928420,274169730,218358600,264422282,205523755,199290375,263800935,273057519,123625826,109432347,95176178,81117749,67651183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15775628, s2 = 15302466, dlinesl.size( ) = 2 s1 = 15775628, s2 = 15302466, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15775628, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11462691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11462691, s2 = 11616688, int(edited[s2]) = 0 s1 = 11462691, s2 = 11616688, d1 = 16, d2 = 24 Dl.O(d1) = 264681131 Dl.O(d2) = 267112333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11462691, s2 = 11616688, dlinesl.size( ) = 24 s1 = 15262235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12440479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11443519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11592087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592087, s2 = 14143204, int(edited[s2]) = 0 s1 = 11592087, s2 = 14143204, d1 = 3, d2 = 9 Dl.O(d1) = 266771066,231308279,232591695,233751209,233751201,233751202,234806828,233751207,232591692,231308276,229876412,228264045,226427445,226427446,265855789,231308279,231308278,266110423,233751201,233751202,234806828,233751207,232591692,231308276 Dl.O(d2) = 229876412,228264045,266110421,233751202,234806828,233751207,232591692,231308276,229876412,228264045,226427445,224318472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592087, s2 = 14143204, dlinesl.size( ) = 10 s1 = 7438081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7438081, s2 = 5534802, int(edited[s2]) = 0 s1 = 7438081, s2 = 5534802, d1 = 106, d2 = 2 Dl.O(d1) = 266654579 Dl.O(d2) = 230696402,229185107,227474747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7438081, s2 = 5534802, dlinesl.size( ) = 70 s1 = 15168355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15168355, s2 = 14361513, int(edited[s2]) = 0 s1 = 15168355, s2 = 14361513, d1 = 24, d2 = 0 Dl.O(d1) = 240883801,240393637,266837319,238671329,238671328,266837317,240393636,240393616,240393617,239865304,239293142 Dl.O(d2) = 234546809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15168355, s2 = 14361513, dlinesl.size( ) = 22 s1 = 12442525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12442525, s2 = 6231542, int(edited[s2]) = 0 s1 = 12442525, s2 = 6231542, d1 = 88, d2 = 91 Dl.O(d1) = 244493181,244493184 Dl.O(d2) = 246521239,267542252,246357002,246267543,246172213,246072417,245966671,245854068,267457892,245606628,245469186,245322896,275002282,245606630,267457894,245854070,267442538,245469189,245469188,245606632,267442536,245469186,245322896,245167372,274984900,244637721,244436435,244436434,244436435,244220418,243987605,243737418,243467361,243177301,274917310,267058974 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14216529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14216529, s2 = 13915238, int(edited[s2]) = 0 s1 = 14216529, s2 = 13915238, d1 = 34, d2 = 24 Dl.O(d1) = 267586999 Dl.O(d2) = 266991048,238782946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14216529, s2 = 13915238, dlinesl.size( ) = 10 s1 = 11630213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630213, s2 = 10400422, int(edited[s2]) = 0 s1 = 11630213, s2 = 10400422, d1 = 8, d2 = 29 Dl.O(d1) = 245250825,245250826,245250823 Dl.O(d2) = 245400529,267409686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630213, s2 = 10400422, dlinesl.size( ) = 36 s1 = 15168589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12443307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15751749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15751749, s2 = 1109947, int(edited[s2]) = 0 s1 = 15751749, s2 = 1109947, d1 = 10, d2 = 8 Dl.O(d1) = 226277438,224148497,221693609,218834807,215450637,211356363,206348037,200291193,193119074 Dl.O(d2) = 256320454,21378375,15396428,15396429,21378378,28614185,37125217,47012284,58383497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15751749, s2 = 1109947, dlinesl.size( ) = 2 s1 = 15751749, s2 = 1109947, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15751749, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 5666745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12623052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14291655, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14291663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14114857, s2 = 14062934, int(edited[s2]) = 0 s1 = 14114857, s2 = 14062934, d1 = 20, d2 = 1 Dl.O(d1) = 260890966 Dl.O(d2) = 70773834,58055867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14114857, s2 = 14062934, dlinesl.size( ) = 28 s1 = 12033758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14225212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14225212, s2 = 12318500, int(edited[s2]) = 0 s1 = 14225212, s2 = 12318500, d1 = 0, d2 = 0 Dl.O(d1) = 159244204,273231231,263713969,264353727,209327989,213817715,217501340,220573699,223186694,221982884,219164260 Dl.O(d2) = 159244204,273231231,263713969,264353727,209327989,213817715,217501340,220573699,223186694,221982884,219164260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14225212, s2 = 12318500, dlinesl.size( ) = 2 s1 = 14225212, s2 = 12318500, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14225212, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12034110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14062979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14062979, s2 = 11222304, int(edited[s2]) = 0 s1 = 14062979, s2 = 11222304, d1 = 2, d2 = 28 Dl.O(d1) = 52920834 Dl.O(d2) = 260120632,159758592,159758593,147413475,259505746,120369628,134202190,259505748,106167505,258881926,106167496,106167495,106167494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14062979, s2 = 11222304, dlinesl.size( ) = 28 s1 = 10466185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10466185, s2 = 11538772, int(edited[s2]) = 0 s1 = 10466185, s2 = 11538772, d1 = 2, d2 = 19 Dl.O(d1) = 224395780,226499363 Dl.O(d2) = 229940013,265748984,228086701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10466185, s2 = 11538772, dlinesl.size( ) = 20 s1 = 11094991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11094991, s2 = 11438568, int(edited[s2]) = 0 s1 = 11094991, s2 = 11438568, d1 = 40, d2 = 23 Dl.O(d1) = 268263747,254874849,8590069,12651792,17865792,24241627,23035958,23035959,30443339,33492027,33492025,37241702,42354291,33424528,25656464,25656465,25601273,18989202,13550212,13550211,18989178,25601236,19035604,17253129,17253058,17253053,17253080,12133528,8163776,8163775,12133526,17253075,23564204,31048430,32839789,32839785,41759864 Dl.O(d2) = 176566975,273555431,180197154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11094991, s2 = 11438568, dlinesl.size( ) = 14 s1 = 12282481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11416019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11416019, s2 = 6776461, int(edited[s2]) = 0 s1 = 11416019, s2 = 6776461, d1 = 33, d2 = 31 Dl.O(d1) = 263484732 Dl.O(d2) = 258327842 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11416019, s2 = 6776461, dlinesl.size( ) = 46 s1 = 11021205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021205, s2 = 11380364, int(edited[s2]) = 0 s1 = 11021205, s2 = 11380364, d1 = 25, d2 = 16 Dl.O(d1) = 254337722,4969503,7829051,11727143,11725564,7827948,4968805,3001130,3001131,4968774,3001113,1742836,1742837,3001115,254807345,16771529,23011214,21220093,15251064,15251065,21220095,21219973,15250982,10521374,10521373,15250918,10521340,10521341,15250920,10521439,6938802,4360412,2612780,1508592,855437,254158365,2612772,4360393,6938770,10521384,15251000,255304552,10249028,14906193,12913265,12913261,12913262,18206392,24669340,255714710,255714724,36945827,36945826,46823753,256184794,30405632,30405633,38994980,39378391,43299715,43299714,36945825,28446047,21219943,21219942,28446044,36945823,46823751,256748028,61567390,55476690,55476691,48918880,48918882,60317453,67818941,257553478,35243158,34141851,255827672,19554191,26275086,34141848,30410125,30410124,38999136,48923020,59237562,48306306,38395652,38395651,30410122,30410123,38999133,30410139,23005391,16765955,11719026,7821084,7821083,11719024,255510297,30410113,38999114,46990843,47840426,38562534,29992339,29992340,38340219,257529879,72372677,85967502 Dl.O(d2) = 165644279,273355025,273544273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021205, s2 = 11380364, dlinesl.size( ) = 34 s1 = 11143531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143531, s2 = 10624863, int(edited[s2]) = 0 s1 = 11143531, s2 = 10624863, d1 = 2, d2 = 17 Dl.O(d1) = 58634450,70822051,259279083 Dl.O(d2) = 58105533,70822014,257417805,36851697,36851698,38903436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143531, s2 = 10624863, dlinesl.size( ) = 8 s1 = 12445251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11154431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154431, s2 = 11034226, int(edited[s2]) = 0 s1 = 11154431, s2 = 11034226, d1 = 11, d2 = 13 Dl.O(d1) = 60873067,53774601,43258748,34168546,255837498,255037098,1547414,2671477,4446772,7062735 Dl.O(d2) = 10690768,267825340,4446771,7062733,255037033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154431, s2 = 11034226, dlinesl.size( ) = 16 s1 = 12104959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11115545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14010375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14010375, s2 = 10830098, int(edited[s2]) = 0 s1 = 14010375, s2 = 10830098, d1 = 9, d2 = 9 Dl.O(d1) = 267464547,245850563,245963374,246069358,246169228,246169225,246169226,267536973,246264750,246264748,246264747,267526812,246169219,246169223,246169222,246264747,267526812,246069355,245963373,245963374,246069357,246169226,267536973,246264750,246264748,246264747,267526812,246169221,246264746,267546545,267555510,267536973,246264750,246264748,246264747,267526812,246169221,246264746,246354393,275045969,246594418,246665778,246732743,246796630,246857988,246917205,246973624,247026460,247075372,247119733,247159822,247196700,247231932,267643037,247327011,247354065,247379468,247403880,247427925,247451422,247473511,247494606,247514545,247534005,247553012,247571902,247591555,247611770,247632899 Dl.O(d2) = 267464547,245850563,245963374,246069358,246169228,246169225,246169226,267536973,246264750,246264748,246264747,267526812,246169219,246169223,246169222,246264747,267526812,246069355,245963373,245963374,246069357,246169226,267536973,246264750,246264748,246264747,267526812,246169221,246264746,267546545,267555510,267536973,246264750,246264748,246264747,267526812,246169221,246264746,246354393,275045969,246594418,246665778,246732743,246796630,246857988,246917205,246973624,247026460,247075372,247119733,247159822,247196700,247231932,267643037,247327011,247354065,247379468,247403880,247427925,247451422,247473511,247494606,247514545,247534005,247553012,247571902,247591555,247611770,247632899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14010375, s2 = 10830098, dlinesl.size( ) = 2 s1 = 14010375, s2 = 10830098, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14010375, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 11542007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542007, s2 = 11390692, int(edited[s2]) = 0 s1 = 11542007, s2 = 11390692, d1 = 26, d2 = 38 Dl.O(d1) = 228706601 Dl.O(d2) = 262487785 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542007, s2 = 11390692, dlinesl.size( ) = 2 s1 = 11542007, s2 = 11390692, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11542007, Dl.E( ) = 76, 3e-05 seconds used appending s1 = 15249666, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15249666, s2 = 14056550, int(edited[s2]) = 0 s1 = 15249666, s2 = 14056550, d1 = 39, d2 = 24 Dl.O(d1) = 260594300,64572910,271335576,260878897,272988539,180973753,189853053,263899490,262712758 Dl.O(d2) = 140990360,140990359,140990366,140990357,127641959,113773869,113773870,127641969,127641966,113773865,99759828,99759826,113773861,113773869,113773870,127641969,127641966,113773865,113773864,127641957,113773860,113773861,113773869,99759830,85805985,85805983,99759824,113773856,127641950,113773867,99759829,85805985,85805984,99759826,113773861,113773869,99759830,85805985,257642128,48083846,256008328,22254600,16116006,16116005,14985475,10317197,10317196,14985472,20888714,28058615,36524001,38172048,38469174,38469167,32049872,27009160,27009161,35095548,38877345,32192193,24604124,18155927,18155926,18062405,12805650,12805647,18062395,19696655,19696654,24485282,18062277,12805574,12805573,18062275,19250462,13755147,13755148,19250464,25912174,33718744,257235309,46382581,36522965,36522964,46382579,47349456,255363410,28903225,30108612,22727765,22727766,21626612,15595780,15595779,17577740,12405905,8384539,5410647,3326087,254097966,878815,495659,277754,153095,83771,45727,45729,83780,83800,83798,153139,277834,278850,278239,153432,83989,45837,45836,83985,153421,278216,254120265,880043,1548034,2672334,255837649,37252870,47157713,47157711,37252869,37252870,270812537,152676073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15249666, s2 = 14056550, dlinesl.size( ) = 38 s1 = 12446271, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14225732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14910035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13417789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13210722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13210722, s2 = 9672050, int(edited[s2]) = 0 s1 = 13210722, s2 = 9672050, d1 = 13, d2 = 15 Dl.O(d1) = 16933983,11851819,7921258,5036033,3049169,3049170,5036040,7921268,5179755,3160442,3160443,2856776,2856775,4740200,7498826,11294553,16245682,15521260,10734567,7092446,7092445,10734561,15521243,16931264,16931265,22136259,16019957,16019958,16142467,11214351,7440942,4701630,2832495,1643305,1643306,2832500,4701648,7440987,11214414,16142542,17129382,12038056,12038055,17129362,17129389,18716838,13323606,13323605,18716835,22288348,16144623,11216108,7442126,4702310,2832845,2832847,4702317,4740242,2856788,1657969,943365,943366,1657973,2856731,2856728,4740111,7441129,7920040,5035332,3048800,3048799,5035347,7920066,11849944,16931277,16037400,15090671,10408011,6860801,6860798,10407999,11215494,7441683,7441682,5184977,5184975,8093030,11216039,7442067,7442068,5184969,5184971,8093022,9103535,5956697,5956696,9103529,13323625,11214706,11214705,16142961,11216086,7442110,7442112,4739965,2856653,1657901,943337,532022,532024,943351,1657927,2856687,4740033,7498568,11214577,16142802,11214584,11214583,16142812,22286666,22287464,22410225,16246619,16143668,11215257,7441522,4701971,2832683,1643399,1643400,2832686,4701978,7441533,8991232,13189505,16109761,11189939,7424637,4691738,4691737,7424635,268084487,12429730,12429729,16109756,22247177,29596142,33463613,33463612,42456706,35097679,27011341,20119424,14428564,255330115,6523047,6523046,6523108,4087113,4087114,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,4087102,6523054,9925075,6523088,4087105,2445158,2445154,4087090,6523048,9925064 Dl.O(d2) = 35097680,44474316,55320105,67659665,81126490,90261651,76430900,63387161,51644475,51644474,51644476,41403942,32546111,24897133,18394778,18394779,24897137,32546118,41403956,256992470,258170704,91189217,77269728,65052305,53069971,42622615,33598233,25801357,25801356,33598231,42622610,53069962,258436937,92364078,87966960,74364839,61588417,50108480,40087978,40087979,50108482,48808527,38886200,38885675,38885674,257549086,23917424,17575499,12403653,8382705,267896722,17575497,23917420,31407909,40087976,50108477,48510980,38596328,38596327,48510978,59904480,67552071,67552072,72944893,60205072,60205073,68072519,55673600,44764307,44764308,48808544,38886212,30300366,30300367,38886215,48808546,42982222,33928619,26095409,26095407,26095413,33928626,42982234,53456580,53456579,65097530,53110773,42658931,33629937,25827842,19175957,16669887,16669886,16794615,23039339,30447034,28562722,21336071,21336070,28562720,29055288,26386629,26386631,22782842,22782841,30171435,256390126,48675748,52653783,52653784,52653792,64553394,77735804,85393479,99336854,86890261,77735815,64553413,64553412,70969638,75918111,89694781,103796820,99816435,85863147,72271644,258754669,61280632,61280633,74060088,80400719,94460335,94460336,108753636,259488486,87663978,74060128,61280658,61280657,74060126,70715243,57999021,57999020,70715241,84266262,85862989,85862990,99816315,99816328,85863004,72271501,59537726,48151161,38242160,29677472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13210722, s2 = 9672050, dlinesl.size( ) = 2 s1 = 13210722, s2 = 9672050, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13210722, Dl.E( ) = 16, 7.87e-06 seconds used appending s1 = 12446619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12447839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12447839, s2 = 10136139, int(edited[s2]) = 0 s1 = 12447839, s2 = 10136139, d1 = 0, d2 = 16 Dl.O(d1) = 8267207 Dl.O(d2) = 1100206,1925527,3273646,3280642,5336806,8270581,8308821,8308820,12238593,12236422,8262391,254841991,8264333,5332031,5332032,8255622,8255623,5366472,3299140,3299141,5333619,3278565,3278566,5333685,8264625,5332248,5332249,5331834,267995979,12241045,8266520,8266519,8288792,8288791,8263987,8005664,254504873,2688215,2688216,4474580,7107205,10757360,15553359,11231464,7452861,7452860,11231462,16164349,17714702,17714703,23695619,17373520,12241607,12241606,17373517,17792405,23695272,17373001,12294790,12240932,12240930,12241967,8267388,5575553,5575551,8263571,12229904,12273167,12273166,17047149,11959115,254566041,5096568,8005686,11959120,16163013,16163012,255902497,16173079,11240438,11240437,16173077,12241090,12241091,16169438,22314459,17803728,12603256,268118121,22310758,16169012,11236768,7457723,7457722,11236715,11236716,16168979,11587589,11587590,16173310,16173309,22310985,22310984,17732114,17732115,17707421,254679506,8487411,11587578,16612987,12608094,12608093,8582238,8537969,5535918,3433561,2030856,2030855,3433558,5547839,7623275,254555506,5485130,5485131,5019440,3762413,2254033,1308193,746832,424413,239591,239596,424429,746866,1308264,2254160,3762600,5542571,3428072,2026239,2026240,3428075,5542574,5573022,5018044,3035886,2021411,2021410,3380130,1990152,1137195,1137196,1990155,3380136,2027395,1160661,1160662,2027401,2034790,1165488,654085,654088,362735,362738,654142,1165592,1171684,657660,364573,199398,199397,364568,657649,1171663,1171566,657595,657592,1171554,1999020,1175398,1175403,1135365,637040,353806,353809,353829,194038,194039,353852,637134,1135558,1162960,652617,361891,198089,107980,107979,198080,360758,637950,637948,254188583,3379917,3424926,2023417,1157927,649673,360387,197326,107628,59138,33258,19071,19072,33260,59142,107637,197347,360421,198694,198695,363053,198663,198662,363050,654712,1166559,2036412,3441034,3417467,3391109,1998329,1998330,254279355,2024084,1167329,655168,655169,1162050,1162051,254189011,1140466 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15173842, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15173842, s2 = 6969034, int(edited[s2]) = 0 s1 = 15173842, s2 = 6969034, d1 = 34, d2 = 27 Dl.O(d1) = 255189447,24028116 Dl.O(d2) = 74496827,260733427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15173842, s2 = 6969034, dlinesl.size( ) = 52 s1 = 12625918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12625918, s2 = 123864, int(edited[s2]) = 0 s1 = 12625918, s2 = 123864, d1 = 23, d2 = 21 Dl.O(d1) = 59033041,47630894,37708606,29148284,21840200,15770546,10922871,7224636,4552356,2736601,2736600,4552355,7224634,10922870,15770545,21837248,255865519,15778980,15775842,255057521 Dl.O(d2) = 2741003,2740829,2740828,4558251,7231779,10924693,10924694,10923819,7225621,4553239,4553240,7225622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12625918, s2 = 123864, dlinesl.size( ) = 24 s1 = 16169881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14292430, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14732187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14732187, s2 = 11097656, int(edited[s2]) = 0 s1 = 14732187, s2 = 11097656, d1 = 61, d2 = 8 Dl.O(d1) = 40914908,257016046,255218387,23221069,16948094,11861555,11861558,16948103,18674427,13362794,13362795,18765647,13362758,13362759,18765651,25346722,32581230,32136683,32136684,24558361,18120212,18120211,24558359,32140229,32140777,255970276,32968790,25246632,25246631,32968789,41100957,39485926,39485928,49415490,52360158,60815345,52360109,44524729,35148123,35148124,44524730,262089313,173604139,262697184,263530630,263863112,261114084,259934872,116565918 Dl.O(d2) = 53689538,256698023,26232392,19516383,254952459,3945439,2362149,1367791,779069,441961,441964,771652,438370,438368,441965,779092,1368056,2362578,3946079,254952573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14732187, s2 = 11097656, dlinesl.size( ) = 18 s1 = 12451567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16393517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14292670, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14077258, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8141849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8141849, s2 = 14855867, int(edited[s2]) = 0 s1 = 8141849, s2 = 14855867, d1 = 33, d2 = 20 Dl.O(d1) = 49412335,39482602,255986937,23446958,23446952,23446953,30877280,268665507 Dl.O(d2) = 7170449,4516279,2714020,2714021,1804086,1804087,1806011,1779497,1014615,571919,571921,573351,321073,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,178425,98296,54366,30757,17749,17748,30752,54351,98257,178539,322923,322925,322972,575492,575488,1021314,1790851,3071135,5067205,5077236,5048485,5048484,7938431,5056470,3063398,3063400,5056474,5070126,3073763,3073764,5070128,5086921,3086180,1801881,1028529,1028528,1801879,3073054,3083052,3072386,3063351,3063352,3069247,3065846,3065845,1806877,1806879,3072464,1791927,1791925,3072458,5068725,7950350,7950349,7958169,7989966,7989965,11476040,7971987,5072687,3075773,3075774,1795091,1024167,1018811,1018812,1786710,3065081,5059088,5083670,5061242,3066362,3066363,5061245,5042865,5042864,7932158,5054452,5054451,5078142,5046865,5046864,5059523,5059525,7937465,5047689,5047690,5077809,7944025,5060671,3066000,1787203,1787202,254130580,7956448,11897845,12010068,8067465,8067466,12010071,17096794,23365833,23367669,30655125,23233782,16961035,11872923,7936410,7936409,8002558,5094658,5094659,8002562,7971615,5072363,3075491,3075492,5072364,254566700,17003859,16139143,11211376,11211377,11882798,7944112,5052159,5052157,7944108 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8141849, s2 = 14855867, dlinesl.size( ) = 12 s1 = 13619329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11176392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14292744, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6984587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6984587, s2 = 10862807, int(edited[s2]) = 0 s1 = 6984587, s2 = 10862807, d1 = 16, d2 = 27 Dl.O(d1) = 260973932,259765282,80290732,80290733,69360589 Dl.O(d2) = 141022019,141022023,127674034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6984587, s2 = 10862807, dlinesl.size( ) = 14 s1 = 11366779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366779, s2 = 13674212, int(edited[s2]) = 0 s1 = 11366779, s2 = 13674212, d1 = 17, d2 = 27 Dl.O(d1) = 146051392,146051393,261941107,146051403,158424454,169794960,262441967,262441969,158424445,146051394,132824054,260238957 Dl.O(d2) = 262619046,262442003,262441983,132824058,262441981,146051395,158424439,272971531,263991878,146051808,132824710,118995936,104805805,104805590,90635000,76768982,63675359,63675358,76768979,90634997,104805587,118995668,132824474,146051650,261941133,132824462,132824463,146051640,146051383,132824046,118995261,118995262,132824047,146051385,158424438,146051398,132824057,118995264,104805245,90634759,76768839,258995015,104805247,260835247,260835319,260835317,129709872,143040612,155590696,158424616,261404161,132824303,132824306,146051520,132824716,132824239,132824240,146051497,132824448,118995638,104805558,104805559,118995640,132824449,146051629,146051769,261058016,118995884,132824654,146051768,158424557,169795003,179979503,262442021,146051787,132824670,260239055,260239053,132824669,146051784,158424632,169795055,179979529,185944959,176514599,165858690,165858689,176514597,185944956,188942162,179979480,169794949,158424431,146051379,260835241,118995257,261941137,118995674,118995675,132824479,132824295,132824294,141414662,141414663,261058014,140595729,153276524,165091337,153276520,261611064,175817659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366779, s2 = 13674212, dlinesl.size( ) = 2 s1 = 11366779, s2 = 13674212, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11366779, Dl.E( ) = 28, 1.1e-05 seconds used appending s1 = 12454555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14050790, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11445639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445639, s2 = 6466359, int(edited[s2]) = 0 s1 = 11445639, s2 = 6466359, d1 = 36, d2 = 37 Dl.O(d1) = 197721632 Dl.O(d2) = 254830796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445639, s2 = 6466359, dlinesl.size( ) = 38 s1 = 16105308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16105308, s2 = 6732608, int(edited[s2]) = 0 s1 = 16105308, s2 = 6732608, d1 = 86, d2 = 91 Dl.O(d1) = 13662005,9355661,6128120,6128119,6257776,9538735,13900006,19427086,20294798,27223213,27223221,33422385,25653620,19034628,13586928,13586929,13586989,9303355,9303356,13586991,254296406,28902878,21628293,21628294,28126148 Dl.O(d2) = 78404986,65122929,53137814,269191782,257824193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16105308, s2 = 6732608, dlinesl.size( ) = 12 s1 = 6574376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6574376, s2 = 8377007, int(edited[s2]) = 0 s1 = 6574376, s2 = 8377007, d1 = 3, d2 = 5 Dl.O(d1) = 256122195,42054638 Dl.O(d2) = 77404013,91322545,91322549,105540200,119773492,261967425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6574376, s2 = 8377007, dlinesl.size( ) = 2 s1 = 6574376, s2 = 8377007, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 6574376, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 15234549, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14293096, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11470982, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12458309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3771119, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12459499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15074769, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10211475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8662039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10233468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12462093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15877671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8680803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8092551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8092551, s2 = 13794925, int(edited[s2]) = 0 s1 = 8092551, s2 = 13794925, d1 = 0, d2 = 33 Dl.O(d1) = 12545452,17732178,24089774,31593146 Dl.O(d2) = 61777403,258903097,74560790,258280539,61777386,74560791,88175538,102166247,102166271,116227102,130137550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 15265125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15265125, s2 = 8614036, int(edited[s2]) = 0 s1 = 15265125, s2 = 8614036, d1 = 1, d2 = 1 Dl.O(d1) = 1385218,1385220,2341823,2341822,3911580,6248174,9525474,9434247,6183065,3869331,254455121,9434244,13764761,19260519,25922390,256678621,50158036,61641683,54598694,54598693,256490214,38201758,38201759,39114216,254953670,26596513,255301482,25512314,18902140,18902139,25512311,32176960,24590506,18145172,18145173,255418887,10818573,7149860,7149861,4502540,2705729,1567979,1567978,2705727,254743197,15633436,21670099,28949862,37397305,47306657,258070497,85002178,98926893,112914522,126767119,140116192,152809652,164647023,175407680,184955208,193291993,200447122,264105476,184955211,184955212,263866615,206490379,211486059,211486051,206490374,206490375,211486052,215568400,215568390,211486043,206490371,206490370,211486042,215568389,218942374,221789546,224231255,226348180,228192401,229811914,231249898,232539876,233705194,233705195,233705197,233705198,234764801,235730231,236608340,236608337,236608336,235832527,234877200,233828526,232676168,231400635,229977162,228372730,228372729,228372735,226545442,224448409,222034160,219222402,219222403,219222407,215890706,211862971,206933794,200967430,193893131,185639123,176178621,263152991,264219659,200967422,200967425,263546699,185639118,185639117,176178615,165500347,153721922,141055582,127706291,113837441,113837442,127706293,130086068,116178523,102121056,259997818,61739390,72278720,59544598,59544599,72278722,85870143,99822891,113837437,113837440,127706287,272211299,142139325,154771499,165500344,153721921,153721920,154771501,154771483,142139297,128786164,114890496,100840417,86859722,73247129,73247130,86859724,100840420,100840423,258822673,60500240,49096682,39166508,30568709,30568708,39166506,49096677,39166504,30568707,23151323,16890507,16890508,23151325,30568705,30568706,39166503,269367253,73247124,86859719,100840415,86859712,73247120,60500230,60500231,73247122,86859716,73247139,60500245,49096686,39166511,39166510,49096685,60500244,73247137,86859735,100840429,114890501,128786169,142139307,154771490,143863818,130544100,116707576,102609569,102609570,116707578,130544103,142139306,142139299,271831039,114890497,128786166,142139302,154771487,154771489,166476751,177058017,186413896,194568837,186700354,186700353,177383524,177383525,263216784,166835112,262784081,155141409,142497053,129119591,115187647,115187649,115187651,101109413,87111308,73492625,60743587,60743586,73492622,87111301,101109401,115187638,129119584,142497048,147244769,134027689,120194198,120194199,134027680,120194190,120194189,134027679,147244757,159600567,272919054,146336854,261336144,164260502,164260503,164260508,154715850,142076696,128717434,126296245,114817485,114817486,100765437,86784675,73172130,60425350,49021636,39092344,30496137,23082666,23082665,30496135,39092339,49021629,60425344,60425345,59041641,47639871,37717836,268393753,21849491,256359797,47639875,59041648,71783367,85372721,99317543,100858112,100858111,114908704,127180450,113321013,113321012,127180449,127462762,127462780,140822901,153503790,146106367,132888085,127462783,259363468,99570201,113586668,113586667,127180453 Dl.O(d2) = 1385218,1385220,2341823,2341822,3911580,6248174,9525474,9434247,6183065,3869331,254455121,9434244,13764761,19260519,25922390,256678621,50158036,61641683,54598694,54598693,256490214,38201758,38201759,39114216,254953670,26596513,255301482,25512314,18902140,18902139,25512311,32176960,24590506,18145172,18145173,255418887,10818573,7149860,7149861,4502540,2705729,1567979,1567978,2705727,254743197,15633436,21670099,28949862,37397305,47306657,258070497,85002178,98926893,112914522,126767119,140116192,152809652,164647023,175407680,184955208,193291993,200447122,264105476,184955211,184955212,263866615,206490379,211486059,211486051,206490374,206490375,211486052,215568400,215568390,211486043,206490371,206490370,211486042,215568389,218942374,221789546,224231255,226348180,228192401,229811914,231249898,232539876,233705194,233705195,233705197,233705198,234764801,235730231,236608340,236608337,236608336,235832527,234877200,233828526,232676168,231400635,229977162,228372730,228372729,228372735,226545442,224448409,222034160,219222402,219222403,219222407,215890706,211862971,206933794,200967430,193893131,185639123,176178621,263152991,264219659,200967422,200967425,263546699,185639118,185639117,176178615,165500347,153721922,141055582,127706291,113837441,113837442,127706293,130086068,116178523,102121056,259997818,61739390,72278720,59544598,59544599,72278722,85870143,99822891,113837437,113837440,127706287,272211299,142139325,154771499,165500344,153721921,153721920,154771501,154771483,142139297,128786164,114890496,100840417,86859722,73247129,73247130,86859724,100840420,100840423,258822673,60500240,49096682,39166508,30568709,30568708,39166506,49096677,39166504,30568707,23151323,16890507,16890508,23151325,30568705,30568706,39166503,269367253,73247124,86859719,100840415,86859712,73247120,60500230,60500231,73247122,86859716,73247139,60500245,49096686,39166511,39166510,49096685,60500244,73247137,86859735,100840429,114890501,128786169,142139307,154771490,143863818,130544100,116707576,102609569,102609570,116707578,130544103,142139306,142139299,271831039,114890497,128786166,142139302,154771487,154771489,166476751,177058017,186413896,194568837,186700354,186700353,177383524,177383525,263216784,166835112,262784081,155141409,142497053,129119591,115187647,115187649,115187651,101109413,87111308,73492625,60743587,60743586,73492622,87111301,101109401,115187638,129119584,142497048,147244769,134027689,120194198,120194199,134027680,120194190,120194189,134027679,147244757,159600567,272919054,146336854,261336144,164260502,164260503,164260508,154715850,142076696,128717434,126296245,114817485,114817486,100765437,86784675,73172130,60425350,49021636,39092344,30496137,23082666,23082665,30496135,39092339,49021629,60425344,60425345,59041641,47639871,37717836,268393753,21849491,256359797,47639875,59041648,71783367,85372721,99317543,100858112,100858111,114908704,127180450,113321013,113321012,127180449,127462762,127462780,140822901,153503790,146106367,132888085,127462783,259363468,99570201,113586668,113586667,127180453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15265125, s2 = 8614036, dlinesl.size( ) = 2 s1 = 15265125, s2 = 8614036, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15265125, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 8743017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8743017, s2 = 8750070, int(edited[s2]) = 0 s1 = 8743017, s2 = 8750070, d1 = 0, d2 = 10 Dl.O(d1) = 183162405,191758917,199152770,205406598 Dl.O(d2) = 263426833,183162406,263019695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8743017, s2 = 8750070, dlinesl.size( ) = 22 s1 = 11554595, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554595, s2 = 11393926, int(edited[s2]) = 0 s1 = 11554595, s2 = 11393926, d1 = 11, d2 = 0 Dl.O(d1) = 274254754 Dl.O(d2) = 199703590,263030946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554595, s2 = 11393926, dlinesl.size( ) = 28 s1 = 8856521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8856521, s2 = 11540754, int(edited[s2]) = 0 s1 = 8856521, s2 = 11540754, d1 = 9, d2 = 5 Dl.O(d1) = 230722194,229213089,227505879,227505878,227505882,225553374,223308776,265647445,229213086,227505882,227505881,229213093,229213097,229213095,265539968,223308777,225553377,227505884,227505883,265935171,232066752,232066756,230722197,229213094,265539968,223308777,225553377,227505884,225553375,223308776,220711607,217659636,265102395,223308777,225553376,227505885,265935173,232066757,233278014,234374176,233278012,232066751,266284537,232066759,232066758,232066757,233278016,233278012,232066751 Dl.O(d2) = 230722194,229213089,227505879,227505878,227505882,227505881,229213093,229213097,265844536,227505888,227505877,225553372,265647443,229213085,265844534,227505888,227505877,225553372,265647443,229213084,230722190,230722192,231056042,229599448,227960454,265525293,221477449,218589373,215158243,210992337,205894804,199731561,192444510,263062087,163476463,151595913,138895078,125562446,260475213,259254687,70442928,57747789,46396991,36536044,28069191,20897904,14993674,10324547,10324546,14993672,20897901,28069185,36536039,46396988,57747780,70442922,57806773,257398873,46450869,36585120,28112616,20935821,255006415,6819765,6819764,6237652,6237653,9510176,10297968,6770728,4243692,4243694,3372220,1984297,1984296,3372214,4261654,6796547,8599807,5588102,3466811,2055712,2055714,1477450,1477449,2565829,2560457,2550897,2550898,2555738,4274737,4282102,2560183,1474466,1474467,2560191,4282116,3709062,2221178,2221179,3709066,5931939,8597580,10279985,6756293,4233782,4233785,6756301,9084752,5942210 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12469155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15776224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12469319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5765031, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5765031, s2 = 10392903, int(edited[s2]) = 0 s1 = 5765031, s2 = 10392903, d1 = 51, d2 = 30 Dl.O(d1) = 233751725,232592325,232592324,232592321 Dl.O(d2) = 258093387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5765031, s2 = 10392903, dlinesl.size( ) = 18 s1 = 7300586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8906498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8906498, s2 = 8844891, int(edited[s2]) = 0 s1 = 8906498, s2 = 8844891, d1 = 5, d2 = 16 Dl.O(d1) = 265121079,223556833 Dl.O(d2) = 266069563,266291573,232160683,265944581,227665409,227665408,229343017,230830740,229343006,229343007,230830742,232160671,232160679,230830748,265808287,225751743,227665405,229343013,230830747,229343020,227665410,225751748,223556838,221024312,221024311,223556832,223556833,225751735,225751737,225751738,265944573,266185277,232160678,266185281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8906498, s2 = 8844891, dlinesl.size( ) = 8 s1 = 14294015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152753, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14213081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8981978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8981978, s2 = 5854878, int(edited[s2]) = 0 s1 = 8981978, s2 = 5854878, d1 = 25, d2 = 0 Dl.O(d1) = 274936285 Dl.O(d2) = 235985719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8981978, s2 = 5854878, dlinesl.size( ) = 2 s1 = 8981978, s2 = 5854878, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 8981978, Dl.E( ) = 30, 1.22e-05 seconds used appending s1 = 16398429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15282223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282223, s2 = 1557946, int(edited[s2]) = 0 s1 = 15282223, s2 = 1557946, d1 = 32, d2 = 5 Dl.O(d1) = 266748627,274819504,266919291,241116613,266972126,240646706,267013789,241955965,242328815,242674061,242995978,243297578,243579296,243840641,244083368,267328605,244715547,244899061,267424903,245385280,267456603,245786645,245903244,267509861,246213847,246213801,246115664,246013040,245903246,245903173,245786562,245661981,245527977,245527979,267471197,245903175,246013039,246115662,275038791,246393251,246306163,246213804,246115666,246013041,245903178,245786563,245786564,267497923,275035625,267541575,267542324,246213527,267510772,267486256,267457994,245233519 Dl.O(d2) = 14197179,19819725,26630954,22604093,19652863,14086782,14086783,19651627,26386116,26385283,19652661,14086569,14086570,15478089,21481346,19659152,14091521,14091518,15478096,21481358,19819722,19819723,26630952,32534600,39418721,30813562,23384628,18098441,18098444,15203714,15203715,17720258,24060912,18390422,13062759,8901345,8901344,13062750,18389476,18389477,20038037,20038035,17113743,12026388,12026387,17113734,21621745,18785774,13380182,13380183,13380193,13380192,12026693,12026691,17114218,23385413,17610893,12430746,12430747,15428229,10665686,10665685,15428244,13063228,13063226,14962715,11461102,8085470,8085469,5180875,3161124,1850577,1056170,593878,331074,331072,593866,1056144,1850529,3161030,5180714,8085713,255148137,23386082,28814879,28814880,37353781,39420541,39420540,49350122,60753024,70326072,57635364,57635363,50423824 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282223, s2 = 1557946, dlinesl.size( ) = 2 s1 = 15282223, s2 = 1557946, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15282223, Dl.E( ) = 38, 1.38e-05 seconds used appending s1 = 12636934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13958315, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11118995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118995, s2 = 11426512, int(edited[s2]) = 0 s1 = 11118995, s2 = 11426512, d1 = 0, d2 = 72 Dl.O(d1) = 48793569,60190301,72929752,258374214 Dl.O(d2) = 264024598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118995, s2 = 11426512, dlinesl.size( ) = 44 s1 = 11630363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12474415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12474419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10442883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10442883, s2 = 11577588, int(edited[s2]) = 0 s1 = 10442883, s2 = 11577588, d1 = 118, d2 = 2 Dl.O(d1) = 274819351,237707659,266688083,266688079,274780087,239049336,274780089,236935500,266454305,234131840,234131841,235155881,266454311,234131846,266152403,265904869,227050341,227050340 Dl.O(d2) = 233657464,266361875 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12637676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992175, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12474603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12474603, s2 = 11554834, int(edited[s2]) = 0 s1 = 12474603, s2 = 11554834, d1 = 23, d2 = 24 Dl.O(d1) = 266064795,266180775 Dl.O(d2) = 237168958,236342895,235438776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12474603, s2 = 11554834, dlinesl.size( ) = 30 s1 = 11245717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626295, s2 = 10512031, int(edited[s2]) = 0 s1 = 11626295, s2 = 10512031, d1 = 0, d2 = 8 Dl.O(d1) = 244755241,267393293,245263690 Dl.O(d2) = 245684044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626295, s2 = 10512031, dlinesl.size( ) = 38 s1 = 11524775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524775, s2 = 10523115, int(edited[s2]) = 0 s1 = 11524775, s2 = 10523115, d1 = 23, d2 = 12 Dl.O(d1) = 224707661,226773182,228574773,230158806,231565049,232825725,233965999,274670341 Dl.O(d2) = 266520912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524775, s2 = 10523115, dlinesl.size( ) = 26 s1 = 14085903, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10569288, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12637892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12637892, s2 = 10585226, int(edited[s2]) = 0 s1 = 12637892, s2 = 10585226, d1 = 25, d2 = 28 Dl.O(d1) = 202168284,207957739,212730964 Dl.O(d2) = 212730964,216633857,212730966,212730965,216633858 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12637892, s2 = 10585226, dlinesl.size( ) = 18 s1 = 10588691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10588691, s2 = 11477234, int(edited[s2]) = 0 s1 = 10588691, s2 = 11477234, d1 = 0, d2 = 53 Dl.O(d1) = 64599238 Dl.O(d2) = 189879191,197534365,204052699,209490702,213952012,217613680,265298189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10588691, s2 = 11477234, dlinesl.size( ) = 44 s1 = 11596723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596723, s2 = 10602958, int(edited[s2]) = 0 s1 = 11596723, s2 = 10602958, d1 = 18, d2 = 20 Dl.O(d1) = 239038269,238397579 Dl.O(d2) = 236921962,236072551,235138585,266357546,266256564,230346755,228784840,227011789,224979800,222641011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596723, s2 = 10602958, dlinesl.size( ) = 22 s1 = 10603187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10614070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12637970, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10634175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10634175, s2 = 11455380, int(edited[s2]) = 0 s1 = 10634175, s2 = 11455380, d1 = 1, d2 = 18 Dl.O(d1) = 228598355,228598356 Dl.O(d2) = 266246407,232842941,231584064,231584065,231584061,230179978,228598358,226799924,224738164,222363930,219598755,264795802,212380064,216325712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10634175, s2 = 11455380, dlinesl.size( ) = 2 s1 = 10634175, s2 = 11455380, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10634175, Dl.E( ) = 24, 7.87e-06 seconds used appending s1 = 16346980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16346980, s2 = 11365102, int(edited[s2]) = 0 s1 = 16346980, s2 = 11365102, d1 = 11, d2 = 12 Dl.O(d1) = 127267431 Dl.O(d2) = 129586526 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359209, s2 = 11434436, int(edited[s2]) = 0 s1 = 11359209, s2 = 11434436, d1 = 18, d2 = 25 Dl.O(d1) = 273137435,201344681 Dl.O(d2) = 212135046,212135047,265120576,264467402,263856142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359209, s2 = 11434436, dlinesl.size( ) = 30 s1 = 11188269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12040792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12475231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12347050, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11252621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11252621, s2 = 4298386, int(edited[s2]) = 0 s1 = 11252621, s2 = 4298386, d1 = 29, d2 = 47 Dl.O(d1) = 258531496,29627436,22275738,256396035,48106015,59494640,72230753 Dl.O(d2) = 200931622,263435274,113791660,113791661,127659615,141007465,153673104,153673089,141007451,127659605,127659604,262233607,141007447,127659599,113791652,113791651,127659590,113791643,99777521,99777520,260593933,141007435,153673068,165452001,176131618,185593986,263435268,176131622,165452005,153673071,141007436,141007433,127659587,113791646,99777523,85823792,72230749,72230751,85823793,99777525,260593935,141007438,262233605,176131626,263435270,176131632,263149837,263435272,176131643,176131642,185594010,263435264,185593984,264217237,264758979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11252621, s2 = 4298386, dlinesl.size( ) = 40 s1 = 12475419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14092473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092473, s2 = 11452688, int(edited[s2]) = 0 s1 = 14092473, s2 = 11452688, d1 = 33, d2 = 15 Dl.O(d1) = 260841845,260042505,258801671,60164434,256989089,30266143,268960939,30266145,38850077,30266142,30266141,38850079,48417385,48417384,269774924,22869596,256444997,255920803,22584696,256960969,259399515 Dl.O(d2) = 263168389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092473, s2 = 11452688, dlinesl.size( ) = 18 s1 = 14066007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14082172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14082172, s2 = 14068556, int(edited[s2]) = 0 s1 = 14082172, s2 = 14068556, d1 = 26, d2 = 30 Dl.O(d1) = 71838127,59098757,59098751,47700860,47700858,37780529,37780528,269330693,59098748,71838116,270830493,85424830,99366877,113367994,127225925,127225927,113367989,113367988,127225926,259667124,122892293,257797632,256650568,54596536,43852112,34580512,29254297,21933241,21933240,29254295,31889159,30285985,22888134,16659327,16659328,22888137,30285989,38871852,48794283,60191030,60191031,48794285,256591437,24721599,255226499,12945397,18248335,24721603,32337784,41153034,51338259,41153042,41153041,51338264,41153045,41153046,41156286,32341484,24725734,18252978,12949938,254630095,3574232,2130400,1229486,695901,390196,216485,216418,216421,390063,695620,1228925,2129357,3572330,5736963,8806966,8823012,5780158,3602083,2149514,2149516,3602094,5780179,8866505,255232131,18908631,25518333,33278460,32359388,256066275,18102795,12835596,8727974,5681869,3534315,2103618,2103617,3534314,3496530,2077644,1194060,1194059,254285655,5627273,6223326,3895895,2333014,254150045,438170,247272,247276,438133 Dl.O(d2) = 771055,1343126,1343130,2315620,2088260,2088259,3512250,5649492,8682038,12772852,18021094,254905003,3653852,254436339,8966484,13154879,18514679,268482245,18514673,255640115,13154869,13154868,254905001,8966477,13154865,18514667,25051324,256614927,51957801,51957800,41650891,32741377,27962720,256267451,46273551,257993349,49462209,51957796,41650886,269065563,57618085,46273556,36420932,36420931,32648275,256609623,46273536,36420914,255781222,6734483,10249693,8935843,8935842,13111330,18456346,24976668,32648277,41535840,256804482,27962710,27962709,27962717,20800650,20800649,27962715,27962707,27962706,36420918,46273492,46273491,256497884,46273547,36420927,27962713,20800648,255781231,36420886,27962670,256804485,51931829,41628734,32722496,255639171,8959208,8959207,13145192,18502204,254904467,8959209,13145195,18502209,25035677,32722511,32722516,32722517,257156606,63742000,51931819,41628723,32722479,25035655,25035656,32722480,41628725,41628714,257756681,58589450,52022107,52022108,46277995,46277996,55682071,44773325,44773324,55682069,63837031,63836971,257172813,41711303,52022029,41711378,256104027,25095564,32794994,32794964,255642653,13179234,13179235,13179283,13179284,18548507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14082172, s2 = 14068556, dlinesl.size( ) = 26 s1 = 14068555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14068555, s2 = 14082171, int(edited[s2]) = 0 s1 = 14068555, s2 = 14082171, d1 = 27, d2 = 8 Dl.O(d1) = 61210764,73989849,77266107,64118978,64118977,255642652,40324575,40324574,50351432,256104026,84071389,76439487,71870457,257172812,37811363,37811364,47733562,59132221,71870465,76439481,76439482,76439491,90269809,76439443,63395654,257756680,32552888,24902934,18399459,13068969,13068968,18399458,24902932,32552926,41411514,257156607,41411488,51652659,51652663,41411490,41411491,51652665,51652744,254904466,46955141,58322257,51652742,51652743,255639170,83833864,70308718,57618078,256804484 Dl.O(d2) = 6421079,9622916,9765939,14206244,254150044,34635896,38992890,30403776,22998921,254285654,7814153,7814154,11712384,16759346,22998927,16759437,16759438,22999056,30403981,25925317,25925316,33732238,256066274,33732241,33728874,25922040,19260170,255232130,26240500,19532698,13985567,9681902,6367984,6367985,6228877,6228873,6296234,3944030,3944033,6296243,4272044,3743623,3743625,5986992,3745813,3745817,5990509,9153526,13389606,18796407,25381085,254630094,42901271,53367252,59480035,48090474,40018804,31339583,31339582,40018802,31339579,31339569,31339570,31339571,31339572,40018801,40018808,31339578,255226498,50038243,256591436,74294796,61517144,52667582,52667581,52667572,52666590,52666589,42279247,33297925,25536006,18924467,13491276,9230230,6045177,6045178,9230232,13491279,18924473,25536012,256650569,257797633,77749835,259667125,105883633,105883634,120095213,133937549,147160180,159519817,170849080,170849081,270830492,147160184,139867113,269330692,140571243,134732304,120934992,106683449,92380574,81062561,67594800 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14129993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097655, s2 = 14732188, int(edited[s2]) = 0 s1 = 11097655, s2 = 14732188, d1 = 62, d2 = 19 Dl.O(d1) = 254952572,8917372,5819363,3630162,3630161,5819421,8917553,6011556,6011554,8777845,8917551,6011580,6011579,9184967,13434200,254952458,42160643,52518859,256698022 Dl.O(d2) = 98828823,98828831,259315603,84902266,84902267,259315599,84902268,98828830,259934871,71329037,259934873,261114085,263863113,263530631,262697185,140737517,262089312,22008169,15907053,15907052,22008167,23676099,31164377,36863891,39241454,30644845,25960646,25960645,23675679,23675678,31164056,39241249,255970277,23221918,28451147,21224344,15254464,10524018,6940723,4361883,2613881,1509392,1509391,2613879,4361879,6940713,10524001,15254429,10524200,6940808,6940805,8737266,8737263,12848552,14487139,255218386,257016047,60566983,62687116,51056697,256584478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097655, s2 = 14732188, dlinesl.size( ) = 30 s1 = 10991053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12638330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14195668, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14195668, s2 = 11196470, int(edited[s2]) = 0 s1 = 14195668, s2 = 11196470, d1 = 15, d2 = 2 Dl.O(d1) = 25143897,24909608,18404781,18404782,24909609,32560931,32561088,268292426,51662637,63406043,51662579,51662580,63406046,76449933,67677994,55338459,44492484,35115521,27028939,20136252,14442149,14442148,20136250,27028936,35115515,44492475,55338447,49203171,39276550,30679613,23262988,16999576,11913419,7969224,7969223,11913418,16999573,23262983,30679606,39276542,49203160,60604014,73349222,86960861,78537905,65247953,53258574,42805659,42805660,53258575,65247955,78537907,87712687,87712688,74106531,61323474,49840228,39816710,39002810,39002811,48926907,60325626,61564865,50084771,268681203,23883355,17536886,12368844,8357813,5394558,3317193,3317192,5394554,3317190,3317191,5394555,8357809,12368837,17536875,23883340,31380388,31380349,23883298,17536842,12368817,8357799,254852035,255567333,256524917,50084676,272210434,61564827,74342080,74342134,61564828,50084779,40063282,31380418,31380417,37059919,37059933,46938397,58304413,58562993,54620730,43878389,34607717,34607716,28700388,21448206,21448207,28700389,37226454,47124183,58502664,58502608,58502607,59396119,51063506,51063505,58562955,254528564,98797636,112789917,114135882,128025517,141394132,128025510,114135879,114135878,115704822,115704820,128025511,126648060,112789916,98797635,98797636,112789917,114135882,256397478,115704834,101660931,87689431,87689430,101660911,87689413,87689414,86133445,72534131,258774005,61301294,61301293,74082461,87689421,101660920,114135875,100101028,100101029,114135878,115704822,115704821,129590644,115704835,101660931,87689431,87689430,101660911,87689413,87689414,86133445,72534131,258774005,61301294,49821540,39800723,39800722,38507805,38507806,48413791,59798823,72534137,86133454,100101032,114135884,128025520,256397480,115704818,101660921,87689422,87689421,100101026,86133449,86133450,87689419,86133445,72534131,258774005,61301294,61301293,74082463,87689428,101660913,114135881,100101030,86133453,86133454,100101031,114135882,115704823,101660924,101660925 Dl.O(d2) = 129590648,129590654,128025513,114135876,100101028,100101029,114135878,115704822,115704821,129590644,115704835,101660931,87689431,74082465,61301299,257462092,31120208,257051147,61301296,49821542,39800724,31120208,23633645,17317666,17317665,15604917,10795899,7132973,4490767,4490766,7132970,7798848,11693550,16737299,268227163,16267965,21636507,15604647,15604648,10795678,10795679,15604711,10802672,7137860,4493944,4493942,4493940,7137854,10802664,15603743,21635501,15920395,15920396,255642246,11311699,7510311,7510312,11311700,11311495,7510138,7510137,8010378,11966141,15655496,11171608,7411754,4683291,2821701,2711294,2711295,4512110,254524715,2812589,2812586,4668741,7390264,11141954,7894516,7894515,10837332,11142135,7390419,4668840,4668841,5863882,5863883,8981755,13176219,16085760,15657406,255049331,7163818,4880780,4880779,5353825,3290482,1935027,1935023,3290475,5353811,8299004,12288527,14471615,15657391,15612669,10801919,10801920,10796750,10796748,15605966,16777181,23017442,17264558,268250083,268434243,258104968,37039554,255876716,28540820,37039561,46917335,58282862,70997680,84561348,73365162,60620694,58031971,52835641,52835642,257999846,64335864,257412148,105657888,91431402,91431403,77725018,64543036,256633330,105860711,120073268,133916520,133916521,131316502,117520695,103395883,103395884,117520696,131316503,133592560,259645992,105478372,119717754,133592559,146850589,159224383,170562506,180694088,189591852,197280553,203839210,209314209,213804810,217489428,220562726,223176712,223060737,220419734,274140778,203464752,196833198,189082658,180132542,263324935,158592814,146218789,132985793,119151011,104955101,90775592,90775590,258373307,51971862,41663929,32752683,25060603,18522004,254905425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14195668, s2 = 11196470, dlinesl.size( ) = 12 s1 = 11068989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11235507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235507, s2 = 10977708, int(edited[s2]) = 0 s1 = 11235507, s2 = 10977708, d1 = 10, d2 = 18 Dl.O(d1) = 81024380 Dl.O(d2) = 254441564,4054535,2426824,1403942,1403941,2426900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235507, s2 = 10977708, dlinesl.size( ) = 14 s1 = 11225311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11225311, s2 = 6097780, int(edited[s2]) = 0 s1 = 11225311, s2 = 6097780, d1 = 114, d2 = 87 Dl.O(d1) = 268125264,31986970,31233939,24524223,18092948,18092949,24524225,29214205,37775747,30214362,22822233,19635788,19635787,17682435,14600155,10046244,6601808,6601807,10046241,14600148,20342425,26959276,26959277,30525063,30525062,39123284,49053441,60091044,271117894,176675411,182942449 Dl.O(d2) = 243016801,242696143,267093780,241583876,266965888,266864242,239047727,266679140,274638794,265745548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11225311, s2 = 6097780, dlinesl.size( ) = 36 s1 = 10532454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10532454, s2 = 1260326, int(edited[s2]) = 0 s1 = 10532454, s2 = 1260326, d1 = 0, d2 = 8 Dl.O(d1) = 8854978,5771340,3595140,3514569,2090014,1202049,677092,677095,379105,379109,214965,117840,64462,64465,64463,64461,64372,64370,64501,36490,36489,67211,123903,225284,402492 Dl.O(d2) = 2165405,3625843,5812633,8907299,5860525,5860526,8977021,8956775,5846253,3648293,2180899,1263932,720276,720277,1263933,2180901,3648298,5846263,8956798,13141753,14415532,14415530,20105504,21361064,24162023,24187514,24187513,31695450,31671460,24161719,24161718,31590280,31590281,31676334,31676335,37642450,254411220,30827317,23399605,23399607,21796330,21796331,16172195,16172196,22317414,26444271,29667571,22315886,22315887,29667573,29095975,29095974,36791519,256003074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10532454, s2 = 1260326, dlinesl.size( ) = 2 s1 = 10532454, s2 = 1260326, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10532454, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 12638694, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11264561, s2 = 10343548, int(edited[s2]) = 0 s1 = 11264561, s2 = 10343548, d1 = 8, d2 = 18 Dl.O(d1) = 269103064 Dl.O(d2) = 25101442,32803324,35370457,35370459,39999131,38739323,38739324,48660701,50652157,48660715,38739333,30156747,27246299,27246298,35370477,37833987,29267854,21945626,15856651,15856650,21945622,29267850,37833985,47756543,50017356,50652162,50652173,55478150,52486540,42131598,42131597,42559979,42559978,47756525,37833962,29267834,21945618,21945617,29267830,37833955,47756520,38739263,38739264,48660628,255559642,37833965,35370481,35370482,44795234,39999137,31321569,31321568,39999134,50017331,61495342,50017353,39999161,31321594,268440352,31321787,31321786,37833971,29267838,29267839,37833972,39999179,33175201,33175200,255171016,31321604,31321602,39999150,50017340,42131602,33175232,25432472,25432471,33175228,42131594,52486535,59155229,68100539,59155236,47756516,47756517,50017375,50017397,60057375,254591320,39999238,255559648,32803963,32803962,41724097,256010472,29267836,255559640,17492844,12333933,255174245,23831256,31321554,36522100,28056916,25432478,25432477,33175240,38288986,38288985,41724554,38288982,30897073,23463760,23463759,23463775,23463776,30897096,39504522,40352832,31658158,31658159,31321575,23831298,17492864,17492863,23831296,17492880,17492878,23831320,22366113,16212222,16212223,255907349,256010456,41724579,40352809,268483794,32804446,25102557,25102558,32804448,41724091,32803951,32803950,29722381,29722382,256104412,40352814,33175236,30897090,23463770,17184544,12083080,8125355,8125356,12083083,17184550,23463782,256038237,24148077,31658162,39999142,50017337,41724605,32804515,256104380,23463756,23463757,29722390,254639166,13183282,13183281,18553522,255642936,24148058,24148059,31658134,32804002,25102072,18553551,18553550,25102068,25102605,18554029,18554032,25102155,22366111,16212219,16212218,22366109,29722388,31658139,25102163,25102164,32804063,25102598,18554025,13183678,8986927,8986926,13183654,13183652,18554005,25102581,32804472,41724565,52039679,52039278,41724051,32803901,25102566,18553995,13183647,13183649,18554000,25102027,25101957,25101958,32803898,32803913,25101976,25101975,30897079,32803882,25101937,25101938,18554060,18554059,24148055,17781432,12584424,12584425,17781433,22366102,18566974,18554009,13183655,13183656,8986946,8986947,13183709,13183209,13183212,18553461,18554085,16860253,11792537,11792536,13183662,13183683,18554033,18553987,13183639,8986915,8986916,13183644,254639180,25102514,18553941,18553940,25102511,254906790,25102653,25117788,18566950,18566949,25117786,25102554,25102553,18877752,13452681,9199890,9199891,13186876,8989177,8989176,9226653,9774356,6426761,6426760,6405678,6405679,8986192,5866706,3662702,2191584,2191582,3662696,5866692,8985709,6390323,4010493,4010492,6390296,4010484,4010482,5866044,5869114,5871916,5871914,8985323,5866038,5866036,3662405,2191427,2191428,3662411,5865785,3662111,3662109,5865780,3662595,2191528,2191529,3662600,5866529,3667110,3667109,5873044,8995570,13188057,9226657,9226655,13485936,254082104,5868822,3664507,3664508,5868825,8989049,13186738,18546361,18546362,13187841,8990017,5869483,5869480,8990009,12518735,17699178,13663522,13182444,8998564,8998565,8481576,5482607,3373793,3373794,5482610,254151882,8481616,5482629,3373806,3373805,5482624,8481606,254147372,10623312,10623311,13663621,9356987,6129098,3834696,3834697,6129100,9356992,13663629,14337902,14337901,15385822,10632797,7018762,7018761,10632795,15385818,21365029,26901179,24052457,17698586,12518141,8480752,5482028,3373446,3373445,5482026,5482044,3373457,1985213,1134121,636345,636344,1134119,1985209,3373450,5482036,8480764,6020583,4216927,2521208,2521209,4216930,254204906,14896867,20784751,27938135,254093690,13427632,13427631,17698345,17698344,24052224,24053431,23815681,17480942,17480943,18827750,18827751,24052062,25491120,31557462,36480634,28019373,20852864,20852865,28019374,254146814,33170539,42126724,46336508,254920304,254850219,1112209,624112,346859,346857,624150,1112285,1947126,3309758,5382312,8338927,5577898,3460739,3460740,3714312,3714313,5940148,9082182,10337621,7672829,4854996,4257364,4257365,4298078,2569650,2569651,2569778,1479523,1479525,2569837,4298356,6760825,4236795,2533119,1470757,1470754,2532292,1467150,1467153,1467825,830408,830410,1467829,2548023,2217742,1286788,1286790,2217748,3702721,5921507,5939050,3714170,3714169,5939906,9081900,6769087,6769085,8333832,8333828,12336178,254706697,6771242,10298492,10306765,10306764,10355002,256819771,53165961,53165960,259070923,259914456,258044058,13801845,16449140,12027153,8085806,5180762,3161054,3161055,5180666,3161029,3161032,5180720,8085726,10486974,10486971,12026298,17113593,23384546,30813475,23386541,19052579,13601063,13601062,19052580,259051833,256141852,41758450,32837695,25132598,25132599,18579492,13203575,9000995,5876397,3669103,2196287,2196289,254437923,9001003,13203592,18579532,25132753,26161125,30039291,22663710,22663712,30039235,32837218,32837219,33383159,28160125,28160126,28373524,28373523,33559081,33559080,34290028,43389265,37891869,29323936,21994604,15896221,15896220,21994601,29323931,36519559,29753231,29753233,30433308,26161062,26161063,34002793,29851346,27005004,27005005,33472773,25699815,25699814,33472770,30802321,254929668,29318105,29318106,29322784,29322783,33383271,33383272,35338541,35338542,254872644,34000817,256041174,25369315,18785355,18785354,25369312,23374659,23374663,26161930,19461824,13927740,9559557,6272549,3927269,2351071,2351070,3927248,6272497,9559464,13546154,18983177,17069873,11980709,11980713,17069836,13924874,13924872,19457580,19457614,19457638,25895208,19235296,13742648,9415691,9415690,13742645,13926641,9558920,6272216,3927108,2351012,1361920,1361921,254459203,3943303,2360586,1366825,778520,778518,1366817,2360648,2403467,2403463,2360568,2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438368,441964,771971,438499,438498,771994,254307507,254668657,13842346,254298168,9921253,9921252,9936979,10602295,6995181,6995183,9384583,9384584,13702074,9919467,9919466,12863191,8747854,5695438,5695437,8747851,12863185,13702097,268108471,5310975,5310976,8238623,12206925,9996706,9996705,14528041,14422338,9920794,9920795,14422339,15404965,18753031,18753030,25332502,33061613,28540760,21317166,15346114,15346113,15386936,14529046,254695381,4116042,4116043,6570518,9997454,14529052,20247001,25839511,19185911,15347185,15347186,15346327,10600516,255029617,21317321,255602890,14529051,14529052,270664335,109607560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11264561, s2 = 10343548, dlinesl.size( ) = 14 s1 = 11101475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101475, s2 = 7018474, int(edited[s2]) = 0 s1 = 11101475, s2 = 7018474, d1 = 7, d2 = 79 Dl.O(d1) = 33586683 Dl.O(d2) = 128737511,142095913,261425859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101475, s2 = 7018474, dlinesl.size( ) = 14 s1 = 14294476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12476777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14294510, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11191477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12639204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12639400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14294620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11308249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11308249, s2 = 8217305, int(edited[s2]) = 0 s1 = 11308249, s2 = 8217305, d1 = 31, d2 = 20 Dl.O(d1) = 258198642,258783839,100233407 Dl.O(d2) = 37373143,37373144,47282613,256957676,47282591,37373132,37373134,39777479,31099246,31099247,39777481,49797321,59192884,47792669,37868106,29298809,21972033,21972032,29298807,37868104,47792664,59192876,49440483,49440484,60842214,67784204,81253528,85520114,73591732,60842180,49440439,47282618,47282619,58673832,47674388,37751995,29190542,21878790,21878789,23467590,17187566,12085469,12085467,17187562,23467581,256361422,49440458,55441015,44591124,35210714,35210715,44591126,55441018,47869884,47869883,268945822,38996126,30406878,255510031,11714806,11714805,16761992,23001805,30406874,256998619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11308249, s2 = 8217305, dlinesl.size( ) = 14 s1 = 11004029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004029, s2 = 10999862, int(edited[s2]) = 0 s1 = 11004029, s2 = 10999862, d1 = 8, d2 = 7 Dl.O(d1) = 7020155,4414752,2647692,2647693,4414756,7020164,6390418,4010587,4010586,6390501 Dl.O(d2) = 9713654,9713659,11580687,9714043,9714047,14119405,13420752,13420751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004029, s2 = 10999862, dlinesl.size( ) = 10 s1 = 11197701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15311870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15311870, s2 = 11092242, int(edited[s2]) = 0 s1 = 15311870, s2 = 11092242, d1 = 66, d2 = 31 Dl.O(d1) = 2278815,1330844,1330841,2293653,2290301,1328850,1328849,2290299,3822674,2860318,2287184,1326888,1326889,2287188,3817723,3818753,6103227,9316961,11309455,7508518,4746168,4746169,7508521,11309459,13560250,13655724,9351069,9351070,11400144,7575053,4791049,2887955,2887956,4791055,7575069,11400181,9319789,9319526,9319527,9271466,6104955,6104952,9319658,9350125,13546077,9273513,6074411,6074408,3800701,3800699,6074468,9273610,13546219,13677618,9366495,9366496,13677619,19154575,256150945,25762340,25763859,25708449,25618006,19003951,19003952,22663255,22663256,268496719,25135177,18581362,13677636,13653862,9349707,6124042,3831617,3831616,6124054,6084041,3806903,3806902,6084038,9287376,9303851,9303850,11683378,9171610,9171611,13414071,18827310,19081300,15492860,15492859,21499765,24132233,24132234,25800921,19154622,19154621,23989520,17644344,12470238,12470237,17644342,13204599,13204598,18581238,19126613,25766223,25802026,21876756,15801391,10948724,7245653,4568322,2917281,2917279,4841064,7651328,11502683,16506985,13678385,13550141,9276134,9276131,13550131,18989068,13568360,11308504,7507965,7507969,11308497,9001565,5876652,3669236,3669235,5876645,6109222,6109225,9326351,13620142,19077753,19009962,13567551,9289333,6085278,6085275,9288901,13566857,17644243,17644242,17866257,17866256,14397107,9902916,9902917,14397109,20079937,17871309,255592263,29777936,256407841,48261001,59648247,72383135 Dl.O(d2) = 88170461 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15311870, s2 = 11092242, dlinesl.size( ) = 58 s1 = 11074035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074035, s2 = 6680774, int(edited[s2]) = 0 s1 = 11074035, s2 = 6680774, d1 = 58, d2 = 259 Dl.O(d1) = 26094783 Dl.O(d2) = 257261063,65792316,257756370 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074035, s2 = 6680774, dlinesl.size( ) = 40 s1 = 10994239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981623, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981623, s2 = 284155, int(edited[s2]) = 0 s1 = 10981623, s2 = 284155, d1 = 15, d2 = 3 Dl.O(d1) = 1545405,2668476,4442438,7056602,10682348,15450189,255836223,267963438,4415451,4414701 Dl.O(d2) = 255036329,254734565,7056600,10682346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981623, s2 = 284155, dlinesl.size( ) = 8 s1 = 14009839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14238942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239020, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14294850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14294850, s2 = 11655877, int(edited[s2]) = 0 s1 = 14294850, s2 = 11655877, d1 = 29, d2 = 47 Dl.O(d1) = 254259190,10834546,7161978,7161977,10834542,7949258,5055457 Dl.O(d2) = 16973025,11885527,11885525,15653438,15653437,21693938,15653993,10835100,7162321,4510984,2710652,2710651,254258562,5388184,8184904,7966533,5388690,5254330,3210942,3210941,254340899,1578458,1578459,2723893,3061452,3061453,5053343,7946135,8348761,12356792,12361765,8352662,5391254,5391252,5055008,5055007,7948633,8352595,8185096,8185095,5390517,3314726,3314725,5390514,8351603,11940687,11906134,7963557,7963556,11778618,16842746,15255249,10524666,6941171,4362231,4362232,6941183,10524686,10460943,6895431,6895432,10460946,254158262,10456439,6896139,4328793,2589617,2589616,254097552,10461936,15169304,21115308,21264869,15302563,10566801,10566803,8382510,5409441,3325447,3325448,5409444,8382518,255179667,17552162,12394023,12394026,9075112,8622061,5605714,3480785,3480783,5605706,7737377,4898976,2952586,1712244,973029,547893,547891,973025,1712230,2952557,4898926,5346331,3285698,1932275,1932271,3285675,3285673,5346292,8287477,12272628,17414035,17413340,12272069,8287129,8287127,9244701,9244702,254589475,5346198,8287219,12272196,17413485,18939496,18939495,23428010,23428011,18939502,18939503,25552051,25816475,19166974,13686917,9373231,9373233,12692881,12692882,17915511,24298273,24298259,24298258,18533244,13168477,13168476,18533238,22963070,16726578,11683970,7791267,7791268,11683972,16726582,22963077,30364981,24051932,17698016,12517585,8480309,8480308,12517582,16943342,14514584,14514585,20226936,27132705,35226792,256478000,36621533,39220971,39220970,36695416,28204878,21012623,21012622,15743716,15743718,21804499,29102684,28305994,22599747,16416458,16416459,22599752,29964447,29964483,29964481,29995924,22627296,16441424,16441425,18320839,13004817,13004815,13201164,13201163,18576128,25128599,32833489,32444135,24809493,24809491,32444126,36621451,46488038,255808156,35303904,35303903,44723555,51908874,41608715,41608716,51908876,63715611,76816506,90684751,95529932,95529931,86388015,72792272,257774325,256630463,25297767,18723332,13328657,9107143,9107144,13328658,17697799,17697772,17697773,17697386,12517079,8479867,8479866,12517076,17697383,17697797,23843910,23843690,17502714,12341520,8337775,8337776,12341521,17502716,19070872,19070873,25696209,268260084,256538594,31555804,31555805,31555410,24051711,17697820,17697819,17502896,12341663,12341664,12517407,8480138,5481536,5481537,8480142,12517410,17502779,23843485,23843461,17502528,17502527,17502928,254850143,8337873,12341679,17502919,12341675,12341676,17502921,23843708,30637459,23214455,23214454,23215214,16943164,16943163,17502861,23843617,24051063,17697287,17697288,24051067,31555396,31335681,23843719,23843638,17502659,12341539,12341538,17502547,12341399,8337704,8337701,12341395,17502541,12341611,12341488,12341491,17502673,23843657,23843649,17502667,17502666,17502655,12341477,12341475,17502652,23843632,31335656,23844012,23844011,31335853,23843888,17502884,12341655,8337858,8337857,8337881,8337811,5381539,5381537,8337805,268111781,23843755,31335747,31335949,23844005,17502995,12341739,8337910,8337909,12341734,17502989,17502956,12341703,8337889,5381583,3309279,3309280,5381586,8337897,12341712,16943168,23215224,23844009,30638358,30638188,23215053,16943044,11858012,11858011,255523567,30638180,39236265,39236431,30638374,255523583,16943192,23215266,17502958,16943294,16943295,17502978,16942406,255523493,11858171,7925017,7925016,7925072,5037931,5037929,254816003,268242147,30638548,39236568,41967373,49413470,49413469,43211677,43211678,53723483,64159066,256606018,256092952,26258783,32725260,33771101,33141959,25402090,18812752,13402247,9162782,9162780,13402244,18812746,25402083,33141952,34124279,26258790,19539805,13991176,9611499,6313125,3956803,3956802,6313124,9611497,13991175,19539802,23058900,30467908,39058397,38764127,30180743,22791600,16575509,16575508,22791597,17584266,12411596,8388523,5413036,5413035,8388518,12411579,17584239,23447573,23447572,30878109,257272763,19710749,14132354,9722166,9722163,255310413,9722157,9722156,14132340,19710733,26453537,33966607,33966605,43024320,37066752,33966613,33966614,43024335,46945908,46945909,46468061,36601318,28127615,20949679,20949680,26904240,34984498,44362476,37066741,28564963,21338040,21338039,28564961,37066734,46945897,58312387,47010209,38366032,38366031,48277641,58020119,70734895,84286792,98182735,112145197,108023718,93599257,79466003,66085469,53994540,43449334,34336944,26453544,26453545,34336930,26453534,26453532,34336926,34336932,43449324,53994524,66085453,58312401,58312400,53503816,53503818,65529367,61292613,49812958,39792373,31111862,256503617,49812961,61292616,74074246,258666316,58006036,46945889,46945888,58312375,256712400,72401198,59665517,59665518,258030016,98918459,98918458,260540269,136402427,122433889,108023715,93599248,258485863,53994531,53994532,66085457,79465990,93599236,93599255,84592432,84592431,76985556,63874680,52055834,41741138,41741137,52055830,63874678,76985552,87681374,101652788,108023704,108023702,93599231,79465985,71028080,71028079,71028074,71028075,84592420,87681404,74074204,61292576,49812911,49812912,61292578,74074206,84592415,84592414,98517698,98918463,84993770,71420540,71420541,84993772,98918466,93599243,93599244,101652794,101652793,115696295,129581902,115696290,101652786,87681366,87681365,101652779,90863546,76985561,76985560,90863533,257764062,258242337,61292529,49812862,39792290,31111804,31111806,39792301,49812877,57824784,57824786,59665194,48277353,48277354,59665199,72400925,70721597,58006020,46630957,46630958,58006022,70721603,76985566,76987089,90865371,105044126,105042021,90863554,76985571,63874690,52055848,256738014,76985573,63875911,52056850,41742084,41742082,52055851,63874693,63874682,52055838,41741141,32820173,32820172,41741139,52055835,258378259,90863538,81026946,67557381,63875686,63875685,55213700,55213699,63875680,52056587,52056588,52055822,41741120,32820157,25116153,25116154,32820161,41741126,41742090,32820964,25116805,18566052,18566051,25116801,32820293,32820191,25116182,25116184,25116172,25116173,32820180,41741154,41741769,41741768,52055788,41741087,32820124,32820125,36743127,34984468,26904204,20021270,20021271,26904208,32820151,25116144,18565516,18565518,25116129,25116160,25116161,32820167,32820642,25116521,25116520,28247131,28247132,25116528,25116529,32820651,41741763,32820804,25116659,25116656,32820792,41741181,32820226,25116213,25116212,32820215,32820216,40978014,32820201,25116192,18565544,13193111,13193110,18565538,25116179,26904149,20021222,14339757,14339755,20021212,25116122,25116121,20021283,14339806,9851583,9851582,14339803,20021279,25116151,18565527,13193102,8993963,8993964,13193105,13193244,13193245,18565791,18565778,15117752,15117751,21047055,18565783,18565785,25116542,32820659,25116668,18565896,18565895,25116132,25116133,25116217,18565572,13193123,8993973,5872046,3666521,2194634,2194633,3666516,5872043,8993968,13193113,18565552,20021300,14339818,9851589,9851590,14339823,18565872,25116624,26904196,20021263,14339795,14339797,20021266,21877388,18565857,13193300,8994079,267857909,3666544,5872077,3666532,3666531,5872074,8994043,13193239,18565780,18566046,25116738,25116739,32820699,32820700,41741818,32820809,32820808,41741915,41741095,32820141,25116139,18565511,18565512,14339836,14339838,20021324,16260523,16260524,13193118,13193117,18565558,25116206,26904229,25116632,18565876,13193313,13193312,18565874,25116628,25116108,18565495,13193088,8993955,5872039,5872038,3666549,2194645,1274835,729139,729138,1274831,2194639,3666535,5872081,8994052,8994157,8994158,13193429,13193280,8994064,8994063,13193273,18565822,18565900,13193328,8994099,5872107,3666553,3666552,5872105,8994096,11305235,7505726,7505727,11305240,16260528,22427269,22427314,20021291,14339813,14339814,18565866,13193307,13193309,18565488,22427240,16260502,11305219,11305217,16260498,13193441,8994169,5872150,3666573,2194658,1274847,729144,729143,1274842,2194655,3666570,5872145,8994106,13193338,18565911,18565836,13193285,8994069,8994070,13193286,18565838,22427140,16260409,16260410,16260415,11305222,7505711,4744430,2859297,1659459,1659460,2859303,4744442,7505741,11305261,16260565,22427320,29793277,32820887,29793075,29793074,29793099,22427119,22427121,26904192,20021259,14339793,9851576,6471106,6471105,9851574,8994172,5872154,5872153,5872117,5872116,8994112,13193354,18565930,22427164,16260437,16260436,13193404,13193403,18566018,18566043,13193420,8994152,8994150,13193417,18566040,25116792,22427102,16260380,11305134,7505663,7505664,7505704,7505718,7505733,11305244,16260531,22427271,28354967,36852520,46734823,46734924,36852616,36852615,38365875,32820873,25116709,18565947,13193365,13193367,18565953,20021253,18566071,13193445,13193446,18566075,18565974,15909725,15909726,16260402,22427131,16260446,11305179,7505686,4744412,2859288,2859290,4744421,254778715,16260474,18566033,25116788,32820942,29793184,22427220,16260479,11305200,11305138,11305137,11305206,8994109,8994110,13193352,18565926,22105407,21140739,15189523,10477286,6908074 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214583, s2 = 11009008, int(edited[s2]) = 0 s1 = 11214583, s2 = 11009008, d1 = 11, d2 = 12 Dl.O(d1) = 259381321 Dl.O(d2) = 268609620,25552672,268146351,9239276,254446775,3786554,6051123,9239269,9250341,6058241,6058242,8104095,8104094,9254962,12185327,10565438,10565437,15301114,18963966,18963965,25572925,20141916,17150318,12053823,8104146,8104144,12053816,13498649,13498651,13373433,13373431,15773817,10925938,10925937,10356939,6964216,6534413,4094261,4094258,6534399,6065665,3795123,3795122,4093889,4448363,7065149,10694242,15466200,21467667 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214583, s2 = 11009008, dlinesl.size( ) = 14 s1 = 11169039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169039, s2 = 13372454, int(edited[s2]) = 0 s1 = 11169039, s2 = 13372454, d1 = 84, d2 = 95 Dl.O(d1) = 67572628,259153343,98464230,84542100,84542101,257933416,64413339,52539349,42180876,33221368,25473944,18873053,13448765,13448769,13448530,9196676,9196675,13448522,18872686,13448595,13448596,13448605,13448603,18872822,25473574,33220776,42180000,52538086,64411667,64412070,64412068,77580308,91511230,105735134,119970117,126101794,112245605,112245606,126101796,126319509,112453345,112453346,100850689,86869653,73256837,73256839,86869658,260064283,126319534,259660620,87043567,73425764,60677750,49276677,49276676,60677748,73236998,73236997,77581217,64412809,52539318,42180891,33221377,33221378,42180803,52537377,64410010,64412967,77578822,77577783,77577781 Dl.O(d2) = 24074096,24074097,31579723,39784442,31105343,23620180,23620179,31105340,39784440,32107004,25739912,25739911,19124898,19124897,25764491,25739910,25739909,33519537,42519594,52772592,42373561,42373562,52772594,52669026,42281801,39941747,31266909,31266908,36820605,28325449,21115833,15169771,15169772,21115835,21111135,21111134,21115381,15169373,10461991,6896169,6896170,10461993,15169365,21115368,254494546,254494548,20995501,15081218,10402336,6857180,6857181,10402337,15081219,20995502,17590774,12416632,12416633,17590874,15169038,10461713,6895972,4328693,4328695,6895975,10461716,15169044,21113421,25294656,21113419,15167346,15167345,12416524,12416525,12416634,8392342,7262014,4579854,2755424,2755423,3329313,5415787,8392261,12416535,17590776,21108690,15831751,12416578,8392296,5415804,5415805,8392298,10461825,15168907,15163110,10457005,9983248,6561641,6561642,9983250,10460567,10460566,15162933,10456864,6892761,5415839,3329343,1958064,1958065,3329345,5415843,8392358,12416660,12426535,14508146,15731701,17590865,17590864,17604187,12426049,8398454,8398453,12426046,10266026,6745871,4226991,4226992,254074000,14929156,20827667,17590846,12416608,8392316,5415816,5415815,8392309,12416595,17590831,17605197,17605198,12427085,12427086,14929361,267743810,5419831,5419834,7261960,10266162,6745944,6745943,5094630,3092305,3092306,5094635,6122703,3830725,3830724,6122697,9347717,13651033,15831647,12426543,12426351,8398653,8398650,12426343,17604565,12426363,8398661,8398660,10518199,15246614,13492568,9231122,6045716,6045715,254496938,18926311,25538315,255822292,42281814,33300450,33300449,42281813,52669036,64569480,74205928,77752039,77752104,77752105,86484297,72889074,72889068,72889069,72889093,60152955,48758952,38839414,30255857,22860616,255500971,11603316,7724302,4889245,2946314,2946316,4889182,7724121,11603020,13622212,9327838,9327840,6110186,6110187,9327872,13622255,11141574,11141575,14190674,12001141,8054538,7723948,7723947,11602766,16633327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169039, s2 = 13372454, dlinesl.size( ) = 14 s1 = 15973436, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11187007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11187007, s2 = 8326940, int(edited[s2]) = 0 s1 = 11187007, s2 = 8326940, d1 = 14, d2 = 17 Dl.O(d1) = 257030409,30860815,30860816,39465111,40238172,40238147 Dl.O(d2) = 257668661,33375684,25610812,18997945,13557767,9282098,6080317,6080318,3805946,2279862,2279861,3806014,6082574,9285194,13561723,19002483,19133730,255685783,257225809,64995309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11187007, s2 = 8326940, dlinesl.size( ) = 18 s1 = 16269013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207917, s2 = 11140394, int(edited[s2]) = 0 s1 = 11207917, s2 = 11140394, d1 = 53, d2 = 10 Dl.O(d1) = 261086609 Dl.O(d2) = 153296478,140616569,140616570,153296479,153296484,140616572,127270761,260494274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207917, s2 = 11140394, dlinesl.size( ) = 82 s1 = 14294960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12202307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12202307, s2 = 7299399, int(edited[s2]) = 0 s1 = 12202307, s2 = 7299399, d1 = 17, d2 = 24 Dl.O(d1) = 264206129 Dl.O(d2) = 265144789,265676893,225982356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12202307, s2 = 7299399, dlinesl.size( ) = 2 s1 = 12202307, s2 = 7299399, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12202307, Dl.E( ) = 34, 2.29e-05 seconds used appending s1 = 10766478, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10766478, s2 = 14844419, int(edited[s2]) = 0 s1 = 10766478, s2 = 14844419, d1 = 28, d2 = 13 Dl.O(d1) = 30447755,23043768,23043767,23043769,255512385,11745211,7841617,4977679,3006944,3006945,4977686,7841624,7841529,4977615,3006905,267835083,7841521,11745073,16797963,16795118,254808291,4977007,3006529,254172519,559273,559272,993317,1746622,3006527,4977005,4977012,3006533,254172521,559275,313132,254079313,95279,173193,313136,559286,993340,1746661,3006593,267793377,993476,993475,1746924,254371487,3006970,3006971,4977152,3006656,1746714 Dl.O(d2) = 26344213,19615377,14056324,254311056,26344217,34217834,43315637,49216932,254676698,73362520,79139805,65785425,65785424,79139802,254311062,43217425,34129732,34129733,43217427,53729292,254462748,87144782,255305604,256185994,257266058,58273863,58273864,257860682,98473207,112463259,126329393,271613952,112440263,98450901,84529083,84254833,79268312,257200042,53839297,60567897,49168828,49168827,49376063,49376060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10766478, s2 = 14844419, dlinesl.size( ) = 14 s1 = 11214327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214327, s2 = 11016538, int(edited[s2]) = 0 s1 = 11214327, s2 = 11016538, d1 = 6, d2 = 13 Dl.O(d1) = 72242377 Dl.O(d2) = 256667408,29643112,22908738,22908739,30308153,34261355,26383445,21243203,15276061,10542328,6952606,4368611,4368609,6952602,10542318,15276045,268380143,36964660,28465618,28465619,36964661,255389786,36957684,46835913,255389786,36957684,36963956,28464674,21245971,18961588,18961589,15256290,15256291,12056164,12056165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214327, s2 = 11016538, dlinesl.size( ) = 14 s1 = 14239534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14294990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14294990, s2 = 14239533, int(edited[s2]) = 0 s1 = 14294990, s2 = 14239533, d1 = 15, d2 = 13 Dl.O(d1) = 3251569,3234704,1897506,1083065,608279,608276,1083038,1655402,941877,531264,297952,297950,531256,941856,1655361,2852710,4734218,5280887,5270428,3224945,1894598,1894597,2853663,1656014,1656015,1087967,1087966,1905679,3219945,1886946,1886945,3219944,3223944,1889778,1889779,3223945,4608744,4608743,4611957,7307930,7315023,7315024,8210975,8210974,11050826,254534491,2865853,1663328,1611213,1611212,1067870,1067871,1872156,3198276,254578905,4755099,4611433,4611431,7307384,8201079,5271930,5271931,8201082,5282748,3235922,3235923,4754837,4754839,3215775,1883970 Dl.O(d2) = 12153433,17274223,17329986,12204955,8236846,5309165,3259242,3259245,5309161,5309162,7818502,7819339,4961405,2996073,2996074,2854200,1656360,942456,942459,989464,254172321,2998092,4963740,4733831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14294990, s2 = 14239533, dlinesl.size( ) = 2 s1 = 14294990, s2 = 14239533, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14294990, Dl.E( ) = 16, 9.06e-06 seconds used appending s1 = 14295012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338583, s2 = 11020658, int(edited[s2]) = 0 s1 = 11338583, s2 = 11020658, d1 = 8, d2 = 14 Dl.O(d1) = 143040089,155590141 Dl.O(d2) = 257564534,29697546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338583, s2 = 11020658, dlinesl.size( ) = 20 s1 = 14322376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16298083, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11047067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047067, s2 = 10230459, int(edited[s2]) = 0 s1 = 11047067, s2 = 10230459, d1 = 41, d2 = 59 Dl.O(d1) = 25451567,33197950,37277339,37277337,37277336,28744839,28744840,30245010,22850899,16626147,16626146,22850897,29846249,22480159,255915753 Dl.O(d2) = 155743546,155743560,155743566,155743543,262815647,187145096,177873307,167377095,155743539,155743540,167377096,155743555,155743554,167377111,177873325,187145117,187145118,177873327,177873326,177873331,187145124,187145120,187145119,195216168,264287021,274211514,207914368,202115410,195216133,195216134,264287011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047067, s2 = 10230459, dlinesl.size( ) = 14 s1 = 12641234, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11341021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12641434, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294786, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11137933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137933, s2 = 11162044, int(edited[s2]) = 0 s1 = 11137933, s2 = 11162044, d1 = 40, d2 = 32 Dl.O(d1) = 44781490,35357424,27234679,25069277,18527370,14571788,14571789,254693184,255335118 Dl.O(d2) = 119271437,119271438,259007010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137933, s2 = 11162044, dlinesl.size( ) = 24 s1 = 11069011, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11375695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375695, s2 = 7137053, int(edited[s2]) = 0 s1 = 11375695, s2 = 7137053, d1 = 20, d2 = 19 Dl.O(d1) = 269776126 Dl.O(d2) = 263087427 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11375695, s2 = 7137053, dlinesl.size( ) = 24 s1 = 11083793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083793, s2 = 11144966, int(edited[s2]) = 0 s1 = 11083793, s2 = 11144966, d1 = 25, d2 = 23 Dl.O(d1) = 257484867 Dl.O(d2) = 256355471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083793, s2 = 11144966, dlinesl.size( ) = 20 s1 = 11305015, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15903154, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11055643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055643, s2 = 11573390, int(edited[s2]) = 0 s1 = 11055643, s2 = 11573390, d1 = 35, d2 = 42 Dl.O(d1) = 255136598,30442932,254560762,48954447,60351167,55234180,44384039,35005972,26924107,258524259,46320930 Dl.O(d2) = 261669629,164657858,263508025,200449114,206491696,211486906,215569041,265179609,265704277,224231792,265179606,218942986,274341129,226348745,265850019,231250394,265850020,221790096,221790095,224231784,226348738,226348739,224231787,265546373,265850014,226348743,224231790,221790110,218942988,215569043,266105509,265912141,274783554,274571459,265452493,264842093,264594559,274140820,117661864,259580487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055643, s2 = 11573390, dlinesl.size( ) = 20 s1 = 14240714, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14240714, s2 = 14032322, int(edited[s2]) = 0 s1 = 14240714, s2 = 14032322, d1 = 6, d2 = 13 Dl.O(d1) = 259244213,86165395,85691938,72105969,59373451,47983487,257508497,59373453,59373452,72105971,76751581,63659080,51863398,41573091,32677396,32059809,256163069,256163067,257238051,65235326,78525366,92572438,106891693 Dl.O(d2) = 148090873,160334577,171537934,181537550,273434907,158404916,146026146,134968271,121159017,118958691,259620685,260237491,261402879,158404765,169780209,175952414,165250009,153450365,140770064,127414153,113543627,113543625,127414150,134096145,120260136,258418906,77930963,64739442,64739443,77930966,91855591,106054245,259672866,272475151,140770102,153450373,165250016,173420805,262108266,260438836,94974518,80913490,67445556,55109067,55109068,62409748,75307835,80710621,80710619,75679892,62733655,55337908,55337907,67677420,81143371,75453243,62530432,62530431,75453241,81135835,67669452,55329723,55329724,64253512,52398059,52398058,64253511,77403434,77403408,76026652,63043768,257145033,41176412,49102074,39171785,255965143,16895463,11823301,7901364,5022607,3040205,1770424,1770421,3040197,5022599,6946435,10533025,15265410,17153445,17151420,12055026,8104993,5192954,3168731,1855252,1855248,3168732,5192957,5335146,3791460,2271237,1317254,751582,427004,427002,751574,751916,1317895,2272481,3793622,2272360,2272362,3793631,6063302,9257809,10537511,11829546,254595490,8115380,8115381,255151477,11470304,7629549,7629548,11470302,15468712,10696106,7066309,7066306,10696091,15468900,21471185,254650128,268144834,36645907,255799911,20989776,256128348,46513460,254921864,30210907,268144846,16599473,14998656,14998657,17964628,17964627,24359279,18859858,13437320,9187002,6012817,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741881,254996485,255976981,11961752,8007309,8007310,11961753,17051118,23314148,25462108,22142988,22142987,23314119,17051056,17051058,23314126,23313986,17050965,11961650,8007251,5097500,5097501,8007254,11961659,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,5097585,5097586,8007453,8007708,11962460,11962311,8007605,8007606,11962316,17050524,22142461,29479988,30733832,29479889,22142389,16024634,16024636,22142399,23316010,23316009,30735157,38043171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14240714, s2 = 14032322, dlinesl.size( ) = 14 s1 = 12642172, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15901213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14295401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13501657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15458230, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15458230, s2 = 16296252, int(edited[s2]) = 0 s1 = 15458230, s2 = 16296252, d1 = 44, d2 = 35 Dl.O(d1) = 4687704,3017272,3017273,1776208,1012716,570838,570842,1012726,1776279,3049014,5035736,5036510,5036509,7922109,11853133,11851093,7920792,7920793,11851098,16246340,11295377,11295378,7920693,7920692,11850952,15529829,16933375,11851382,11851381,16933368,16934032,11851858,7921289,7920428,7418992,4688271,4688272,5185717,5185720,8094362,11186067,16104078,22239705,22263596,22263594,22282917,16932794,11850971,7921005,5035885,3049097,1776335,1012750,1012749,1776331,3049002,3049008,5035728,7920709,7920638,7920637,11850811,11851488,7921040,5035904,5035906,7921047,11851495,11210951,11210952,16029587,16029606,11851023,11851022,11851397,7920982,7920980,11851385,16933380,22237233,16102110,11184559,11184558,11185075,11185080,16098679,16933402,11851406,11851408,16933408,23203296,16933310,16933309,23202596,16932785,11850967,7921014,7920994,7920919,5035844,3049077,3049075,5035850,7920941,7920704,7920702,11850977,16932812,23202441,22233090,16933331,11851359,11851357,11851402,16933392,22148604,16029597,11130111,7382731,7382733,11130120,16029620,11851375,7920977,7920978,11851377,16933362,23203356,17111062,16102101,16102099,16144239,16245708,16933249,16933247,22286170,23203413,23203274,16933302,16933300,21536297,22233078,23203475,16933461,11851447,11851446,16933217,11851276,7920930,7920933,11851299,16933244,23202579,23202612,22286176,22286178,22286187,22288439,23203310,16933324,16933326,23203316,21829544,15761406,15761408,17111098,17111099,22148621,16029900,11216055,7921226,5036020,5036021,7921229,11851784,8084133,5179745,5179746,7498853,7498854,11294588,16245676,22408977,28802844,21536319,15521217,10734550,10734551,11181313,16098228,22233085,29580820,23205484,16935029,16935031,22288465,16144722,11216198,11216197,11214387,7440968,4701638,4701635,7440958,11214374,16142497,22286200,23401986,17129372,17129371,23203279,23203278,22287679,22287678,23204170,23204151,16933946,11851792,7921236,5036024,5036025,7921241,11851798,12024509,8084137,8084138,11294069,11294068,16245164,17129357,17129356,22252220,16114026,11193219,11193216,255081378,255888578,11135396,16037214 Dl.O(d2) = 80295326,66866049,257888452,34594071,43864877,48116090,59503931,54607966,54607965,48116002,38205126,29638428,22286573,22286571,29638424,256938921,258128437,59503702,48115929,38205088,38205089,48115932,52662114,64562952,72238847,66865806,54607809,54607806,66865817,256119170,44732130,38205026,38205024,48115817,43864837,43864838,54607930,58546272,58546273,71277850,72238825,59503879,54646719,47353797,37447215,28908012,21633827,21633828,28908016,37447221,47353814,54646632,58741375,47353774,47353773,48116120,38205189,38205190,48116050,48116076,59503916,66903507,54646579,43903666,43903668,54646447,54646446,54646612,54646613,54646594,54646595,59724439,59724437,55219128,44368039,44368038,54646358,54646356,48339984,38436337,29877489,29877488,38436333,43903287,34989877,26908950,26908949,34989870,43903429,43903469,43903468,54646338,54646335,58546240,58546241,71277819,59724441,54646608,43903718,34630974,34630821,34630822,34630639,34630641,43903272,34630819,26640537,19828309,14203934,9764348,9764349,14203939,19828318,26640661,34630768,34630769,37461676,28922189,21646761,21646762,28922193,37461682,34630785,34630786,43903494,43903493,43903573,54646459,43903560,43903561,34630897,34630898,34630752,34630751,34630861,34630741,26640600,19828276,14203922,9764344,6419967,6419966,9764339,14203910,19828253,26640565,34630851,43903419,34630728,34630729,43903268,34631346,26640898,19828434,19828433,19828342,14203953,9764356,9764354,14203947,19828328,26640680,34631029,43903765,34631105,34631104,34631374,34631375,43904077,257625950,41479947,41479949,51749246,54646387,54646386,54646839,43904048,43904050,43904129,43904128,51749303,41480017,41480018,51749304,42291181,33311080,33311083,35312632,44732084,42291150,42291149,42012741,256634402,25338745,25338746,20875839,20875840,20268520,14542548,10005706,6575364,4118919,4118920,6575367,10005711,13495891,18931063,19896545,18936931,13501209,9237142,9237143,13495898,9233141,6046859,3783372,3783373,6046860,9233143,255266057,13495899,13495900,268298581,33306087,42286324,52672617,64572807,77755327,64572804,64572805,77755328,91682189,105889029,120100453,259993056,147165012,138766916,125437926,111635006,97713833,83855014,256936928,111635005,125437923,258750074,138766913,125437922,111635002,258293032,70329921,57639772,57639771,70329920,83855012,72977824,72977825,60241552,48847760,38927459,30341126,22939852,16704323,11664237,11664239,16704325,13157832,8968450,5854693,5854694,6531884,6531885,9938043,14445881,20139875,18714511,18669639,13277704,13277705,9062366,5925529,5925530,9062368,6748545,5208013,4586777,2759500,1599672,1599677,2759517,4586808,7273250,9652285,9652287,10988511,10988512,10315133,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,1477339,835271,470787,470786,835264,1477319,2565583,4291215,2565929,2565928,4291751,6839989,10379888,7672736,6839137,4291142,4291141,4291225,4291223,5208701,4832154,4832157,5206929,3466413,2055507,1179207,662109,662112,1179217,2055529,3466452,5587391,8598747,10389750,15066015,20977512,28156733,36630964,46497705,57853625,70555043,84091633,97965289,85469428,85469427,85469429,99410328,99410330,113411475,127269798,127269792,113411470,113411471,106166067,259056299,78041322,78041321,64844431,64844430,64844434,52919517,42509672,33510232,25731206,19098898,19098899,19098896,13635788,13626271,13626270,13626273,9330620,6111875,6111874,9330618,254451107,2291138,268781628,2291137,3824175,6111873,9330615,8555411,6140713,3842172,3842173,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428940,7694146,7694149,9857279,6475013,4057609,4057607,2428676,2428674,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15458230, s2 = 16296252, dlinesl.size( ) = 2 s1 = 15458230, s2 = 16296252, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15458230, Dl.E( ) = 54, 1.88e-05 seconds used appending s1 = 11410919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410919, s2 = 8142841, int(edited[s2]) = 0 s1 = 11410919, s2 = 8142841, d1 = 24, d2 = 35 Dl.O(d1) = 261613146,259260570,65046317 Dl.O(d2) = 87617633,101584625,115624567,129509062,142825700,142825698,142825710,142825702,129509056,115624554,101584610,101584611,115624556,261614528,87617622,87617619,101584611,115624556,261614528,87617622,87617621,101584601,115624547,115624552,129509052,261270391,261813929,129509070,260099623,101584639,115624572,115624573,129509069,129509060,260099625,87617648,87617649,101584604,115624549,115624572,115624573,129509069,129509060,260099625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410919, s2 = 8142841, dlinesl.size( ) = 2 s1 = 11410919, s2 = 8142841, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11410919, Dl.E( ) = 36, 1e-05 seconds used appending s1 = 11206869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11312893, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11213821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11213821, s2 = 6613355, int(edited[s2]) = 0 s1 = 11213821, s2 = 6613355, d1 = 23, d2 = 26 Dl.O(d1) = 72137892 Dl.O(d2) = 256543871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11213821, s2 = 6613355, dlinesl.size( ) = 14 s1 = 11161501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11124747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11124747, s2 = 4566244, int(edited[s2]) = 0 s1 = 11124747, s2 = 4566244, d1 = 65, d2 = 26 Dl.O(d1) = 256031777,24042302,31545843,255580207 Dl.O(d2) = 183299827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11124747, s2 = 4566244, dlinesl.size( ) = 2 s1 = 11124747, s2 = 4566244, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11124747, Dl.E( ) = 82, 2.48e-05 seconds used appending s1 = 12642980, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11215235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215235, s2 = 11060048, int(edited[s2]) = 0 s1 = 11215235, s2 = 11060048, d1 = 5, d2 = 0 Dl.O(d1) = 72430276 Dl.O(d2) = 29824621,22457283,16289334,11332630,7530393,4763436,2871456,1912572,1092247,613186,613187,1092257,1654844,941560,531095,531096,531678,298152,165112,90870,50050,50051,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078134,1095941,1918610,3264434,3207174,1878246,1071564,1071563,1086806,1546116,878703,878702,1546114,1092914,1092915,1069290,1069291,1874458,2697340,2697339,3252823,5302027,254519799,2778368,2778366,1909525,1090368,1090369,1909528,3251794,5301085,8174680,8174681,5267517,5267518,254395389,1905981,1088140,1088142,1088769,1906957,3248341,4734344,4734345,7312199,4615466,2779263,254164287,917232,1612291,1874990,3202252,3206785,3206784,5242872,4615470,254583752,3240926,5289359,5240650,267905827,12142080,17262443,23573854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215235, s2 = 11060048, dlinesl.size( ) = 2 s1 = 11215235, s2 = 11060048, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11215235, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 12483487, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12483487, s2 = 7929708, int(edited[s2]) = 0 s1 = 12483487, s2 = 7929708, d1 = 48, d2 = 56 Dl.O(d1) = 38936771,30350896,30350895,38936769,36957347,28456981,21230773,15260955,10529223,6944128,6944126,6364312,3993251,2393117,1385040,787827,787830,1385052,2393147,3993314,6364445,9677122,14071330,19634461,15273361,10540022,6951058,6951059,6973526,6050557,6050559,9238416,10566544,6969421,6969420,5198767,3171713,3171714,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485 Dl.O(d2) = 10974396,254516231,2756017,1597641,908215,908220,1597658,2756047,4580939,7263972,10974635,15837049,16828724,15836207,10974115,7263688,7263685,7262663,7262664,9181549,9181548,9181538,9181540,7373613,4658226,2806373,2806374,4658231,4580846,4580845,7263750,10974228,7373595,4658246,4658247,7373657,11117410,10972138,7262548,7262547,10972128,11117349,11117350,14125097,18850000,21923598,21917835,15834119,10972840,7262973,7262972,10972835,15834102,15837100,15837099,15833352,15833349,14462770,9950281,9950280,14462764,16012894,16012896,15836117,15833147,10972208,7262647,7262648,10972311,11117099,7373468,4658150,2806330,1628040,1628042,2806340,4658165,7373493,9182045,7263946,7263947,10974590,15836973,17653503,17653500,13429182,11767827,11767830,16828282,18848518,25445580,25444724,18847710,13428634,9181296,9181298,13428387,18847338,25444320,21922861,21922859,24563014,18278510,18278513,16830336,11769284,11769286,16830345,16830438,16830437,16829981,11769063,8453216,5460654,5460651,8453186,8453187,12482446,9181839,9181838,7858513,7858509,11117159,11117121,11117119,10851772,10851771,15675169,14461987,9949735,9949734,8453391,8453392,9181695,6009556,3758706,3758702,6009542,9181664,13429260,18324925,18324926,18848456,18848453,25445507,23082885,23082884,23083027,16830293,11769255,7857610,4987110,3012223,1749619,994890,994891,1749627,3012243,4987134,7857651,11769340,16830270,16830267,23082988,23258937,25640615,23997106,17653200,12482527,12482526,10851781,7174144,4519039,2716142,2716143,4519049,5460532,8452965,9181461,9181459,13428898,18848095,13429303,13429301,18848651,18848578,18848577,23996405,23082920,23082918,23082066,23082064,23997816,17653801,16830845,16830844,15675116,10851730,10851729,15675108,11768458,7857124,4986849,4986847,7857087,7857089,8797801,8797787,8797781,12932421,16828520,11768043,7856841,4986696,4986700,7856856,7174207,4519065,4519060,7173908,10851408,15674736,15675243,12482249,8453067,5460585,5460583,3810681,3810686,6090486,9297438,13578684,19023915,23996876,30495730,23082252,16829691,11768866,7857372,4986994,3012171,1749594,1749596,3012178,4987008,7173836,4987481,4987480,7858187,11770119,16828916,16828917,23081305,23081367,27053034,20159682,14462326,9949953,6539372,4097065,4097061,6539343,9949908,14462251,14462069,9949792,9949794,14462078,13740504,13740505,19232604,19232644,13740547,13740548,19232676,23080306,16827990,16827987,22554195,16829152,16829151,16829345,11768660,7857261,7857262,9181142,9181141,13428375,16829637,20162838,16829245,11768580,7857204,7373956,4988253,3012962,3012961,4988241,4097759,4097760,6540567,9951757,9952281,9950981,9950980,11770451,16831698,20159432,20159437,16831612,14462558,14462141,9949831,6539308,6539307,9949827,14462132,14462576,14462572,11770368,7858355,7858358,11767585,7856517,4986481,3012118,3012120,4986874,7856753,7856752,11767908,16828392,20173798,23366264,17097140,17097143,23366271,20161175,20161176,25445051,20949181,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,4987649,3012545,3012543,4987623,4987621,7858427,11770468,14470219,14470216,14474321,9958923,6545321,4100623,4100625,6545303,6545306,9958877,9958833,9958829,14468034,20166324,21718821,20157919,14461111,14461110,20157937,20165165,20165163,15836251,14476451,9960531,9953292,6541545,6541551,9953312,11769954,7858063,4987388,4987386,6541308,6541305,9952942,14466346,15040633,15040634,12672904,10973816,10973813,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7264660,7264659,10975618,254536598,10747295,15539841,19786056,26591210,21567067,15544870,10751009,10751010,15544871,16349568,11379165,7559978,4780408,4780406,4780311,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,21569463,16694650,11655651,7767173,4920825,4920827,7767175,11655656,254582678,12208014,12208012,9903885,9326453,6109284,6109286,9326459,12050453,17146324,22013540,22013539,22488320,16322611,16322609,22496555,29859923,38424710,40466106,254760014,25151983,22506289,16561949,11544481,11544480,16561946,22777113,21997038,21997039,16306193,16306194,16308655,15977328,11091399,7355813,4646599,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540830,7540831,11348365,16310744,22482202,16736485,11693013,7798570,7798574,11693021,11351943,11351942,16316489,16737092,22973671,30375007,38416357,255069128,23614325,28515943,23629758,17313830,12189346,11343626,7538333,7538334,11343631,11361791,11361790,16330774,22504768,16350859,16350860,254347524,16350181,11377526,9007786,9007788,13214462,11357775,7546018,7546017,11357773,16322682,22496639,22777150,16561971,16561972,18724831,14569110,11353343,11353344,12022793,12022794,12022828,8083074,8083077,12022846,16313263,22485179,26386619,26385608,26385610,21203956,15238146,15238147,21203960,22001119,15901292,15901291,22001116,23245113,16978580,11891725,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,19818174,17839910,12633207,12633206,17840048,23179697,16914797,11837783,11837782,16914796,16915821,11838508,11838512,16915824,13018041,8863445,8863446,13018044,18338620,267821914,22882500,16653753,16653752,22882497,21104894,21104893,16568716,16568714,22593398,22593399,29957800,38522877,38856429,30272004,22874799,16646529,11614495,7733988,4896401,4896399,7733982,11614487,15467111,21468745,21385904,15402500,10645932,7029121,4421763,4421764,7029123,10645936,15402506,21385912,21480906,21467909,15466413,10694427,7065295,4448479,2672604,1548195,1548194,2672601,4448474,7065287,9320212,6105291,3820030,3820032,6105295,4859866,2928628,2928627,4859865,7680667,11544757,16562334,21294332,15327851,10586699,10586698,11351576,11351575,16315947,22488778,22508466,29354701,29354700,29840192,29351486,22019968,15918511,11040468,7314741,4617319,2780321,2780322,4617321,7314747,11040484,7538129,4768674,2874867,2874866,4768669,4945355,4945356,7798439,11692757,16736079,16736885,16736884,22973444,30374839,31096205,32787907,38412295,38412294,255894646,49242789,39315810,30717461,23300194,17040057,17040058,23300199,28891885,31188998,31188997,254588448,25089689,25089690,23465882,23465884,30899535,38430086,38430085,30796445,30796444,25771594,19131561,13660411,9354398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12483487, s2 = 7929708, dlinesl.size( ) = 2 s1 = 12483487, s2 = 7929708, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12483487, Dl.E( ) = 64, 2.6e-05 seconds used appending s1 = 11505205, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14241626, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11335583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335583, s2 = 8360978, int(edited[s2]) = 0 s1 = 11335583, s2 = 8360978, d1 = 14, d2 = 17 Dl.O(d1) = 259457888 Dl.O(d2) = 268662112,44525171,257915593,259599908,39088472,30491690,258206651,49198183,49198182,47406455,37498886,28956118,21675117,15636942,254743373,4503473,7151327,255048169,21675124,24578878,24578854,18136164,12860443,12860444,18136169,24578864,32164075,33569388,25779259,19138072,15812188,15812187,255869229,31076158,31076157,33213006,33213007,268488892,53026236,65000931,258395530,51085568,40942970,32163999,32164000,40942972,43061944,53541039,62716908,51085584,40942989,269072726,42586482,33569478,25779324,25779326,33569462,25779312,19138103,13665612,13665611,19138101,25779305,33569453,270800658,31794495,24280646,24280645,31794492,40489427,46727496,42157685,33197948,255664167,13432582,13432581,18853261,255992670,64389878,256496476,58127316,58127315,70841759,258198278,262153253,139525447,139525448,262893971,158084553,261393280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335583, s2 = 8360978, dlinesl.size( ) = 14 s1 = 11063441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063441, s2 = 10601863, int(edited[s2]) = 0 s1 = 11063441, s2 = 10601863, d1 = 3, d2 = 13 Dl.O(d1) = 23346850,17079996,11992394,8044111,8044112,11992396,17080001,23346499,30769503,26576033,23346863,23346861,30769853,23450171,17173705,12075083,12075085,17173713,15541097,10748202,7101101,7101103,10748212,15541115,21209565,15242985,15242987,21209571,23346072,17079323,14165469,14165467,19775930,26578754,26579776,255629798,43836096,34572485,26585550,26579736,19776775,19776774,26579732,30767372,30767371,34565632,34565098,34565096,26585300,19781190,14168733,14165541,14165542,19776844,26579823,22485601,16313538,16313539 Dl.O(d2) = 26577351,30767875,29850854,22485591,16313535,254781617,4770424,4770426,7541779,11350131,16313588,22485663,23345099,23346263,17079487,17079488,14163472,9737493,6403369,6403373,9737483,14163446,19773635,14164691,14164693,11992223,8043995,8043994,11992218,16778191,19365190,16778273,11730994,11730997,16778281,23018742,30423855,254415910,17142401,23418610,22621013,16892530,11820849,11820850,16892534,15108121,10420490,8099558,5189127,3165937,1853338,1632739,1632737,2814277,3166010,1853373,1057761,1057760,1853367,3165987,5189206,8099691,12047726,17142555,22797377,17328234,12203257,12203255,12340111,12340109,17500862,12681150,12681146,17901345,15185497,12322784,8323682,5371268,3392482,3392485,5503246,8274832,5339229,3281888,3281891,5339252,8274909,12252473,12588372,17785905,13496384,9233573,6047260,6047259,9233572,7075452,4454511,2675962,2675963,4454513,3400633,2004967,2004965,3400621,5513518,5502190,5502189,8500518,10709886,15487574,12614375,12614374,10709891,10709894,7075551,4454566,4454565,7075546,10710050,12588275,12588274,10710171,7075606,7075605,8259579,8259580,12231815,17361613,12232248,12232250,16888790,13496491,13496489,12608733,8557597,5554514,5554518,8557614,8262952,8262957,12237075,17369162,13496647,13496645,15487481,15487480,17802877,12602348,12602349,17789050,12590787,8613017,8613016,12681249,17901518,24282186,31796002,31198921,28348333,23794484,22180115,16053926,11146983,11146984,16053928,13734865,13734864,19226736,25886762,19229962,13737674,9411467,6166174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063441, s2 = 10601863, dlinesl.size( ) = 14 s1 = 11502351, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502351, s2 = 8810742, int(edited[s2]) = 0 s1 = 11502351, s2 = 8810742, d1 = 32, d2 = 41 Dl.O(d1) = 264562996 Dl.O(d2) = 263973719,207878466,264814165,219814526,265431322,213025704,208308453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502351, s2 = 8810742, dlinesl.size( ) = 14 s1 = 12643624, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11121225, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11484913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484913, s2 = 3569532, int(edited[s2]) = 0 s1 = 11484913, s2 = 3569532, d1 = 55, d2 = 64 Dl.O(d1) = 263500948 Dl.O(d2) = 120226224,271050247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484913, s2 = 3569532, dlinesl.size( ) = 38 s1 = 14303018, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11140117, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12644528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12644528, s2 = 11087594, int(edited[s2]) = 0 s1 = 12644528, s2 = 11087594, d1 = 6, d2 = 3 Dl.O(d1) = 9713647,9713652,14118675,9713890,9713891,8751507,8751506,12868678,256070933,32210705,255737850,20027298,14344582,9855226,9855225,255737825,23375472,257303350,22773684,16558740 Dl.O(d2) = 30162852,38746281,48668046,53054896,60063506,58110713,46740594,46740595,46740356,38745537,30162253,22773277,16558494,16558493,255686361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12644528, s2 = 11087594, dlinesl.size( ) = 2 s1 = 12644528, s2 = 11087594, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12644528, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 11345783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345783, s2 = 7356895, int(edited[s2]) = 0 s1 = 11345783, s2 = 7356895, d1 = 65, d2 = 76 Dl.O(d1) = 134116599,260170338,270415120 Dl.O(d2) = 274146197,265296483,265642919,265793457 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345783, s2 = 7356895, dlinesl.size( ) = 52 s1 = 16287746, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13404115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424041, s2 = 9470081, int(edited[s2]) = 0 s1 = 11424041, s2 = 9470081, d1 = 14, d2 = 23 Dl.O(d1) = 271859606 Dl.O(d2) = 257066678,256519878,255563462,50083920,61564070,74341413,71632685,58912144,47530942,37624364,29073395,255198572,9147655,9147654,13382978,18789541,21363559,15384607,10631796,10631797,15384609,13361466,13361465,18763853,25269000,25269001,32993101,255038146,22459563,16291663,11334752,11334751,16291661,22459561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424041, s2 = 9470081, dlinesl.size( ) = 20 s1 = 11232367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11232367, s2 = 2833505, int(edited[s2]) = 0 s1 = 11232367, s2 = 2833505, d1 = 40, d2 = 38 Dl.O(d1) = 92524997 Dl.O(d2) = 85008435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11232367, s2 = 2833505, dlinesl.size( ) = 50 s1 = 13992757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15879525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15879525, s2 = 14103051, int(edited[s2]) = 0 s1 = 15879525, s2 = 14103051, d1 = 4, d2 = 41 Dl.O(d1) = 201257476 Dl.O(d2) = 99895763,99895764,113914288,127788737,141145396,153818245,165599324,166126562,166126561,176759487,261277602,175356214,260107188,271388156,140069723,126722813,126722815,140069726,260107192,115741601,115741600,271553060,109432556,95176416,258425730,67651428,55312067,55312068,44491330,35114440,35114442,44491334,53820642,255304384,43295772,53820635,65888355,79251834,76841576,76841575,81142263,86078964,87976020,76841567,74374323,74374305,74374304,67646152,55307204,44462135,35086773,27001890,27001891,35086775,27001896,27001897,35086780,44462145,55307218,67646162,59829912,48443646,38535143,29969173,29969172,38535141,48443645,59829908,50118450,44813128,44813127,55307206,268476144,64018470,64018471,77150457,64018469,52184202,41858830,41858829,52184200,64018467,67646169,71485585,58756576,47370447,47370448,55719695,55719696,55719723,49220364,49220365,55390647,55390649,62653365,55719691,44813124,44813123,269639319,44543334,44543335,49220360,40889919,256066493,24538785,24538786,32116169,35388533,27263082,20328666,20328667,27263084,35388536,44813155,36584750,28112291,28112290,268837385,35387666,35388814,27263346,27263345,27077571,20180879,20180880,27077575,35165254,27077581,27077580,268550865,44542896,257127045,35165343,35165325,27077634,256226133,27080387,27079920,20182633,14480409,14480408,20180919,14479263,9962300,6547523,6547524,9962302,14479267,20180926,27077635,27081001,20183342,14480871,9963243,6548077,254692879,14480535,20182788,23429783,23429784,27082646,20184591,14481659,14402156,9906018,6510765,6510764,9906015,9962824,14480158,12561846,12561847,17753571,24114487,18052420,18052419,24472778,32035570,27081274,20183567,20183568,27081276,35169505,44547381,42500360,33501696,25723890,19092997,19092998,25723893,33501701,42500365,44546036,35168363,35168362,44546032,39977024,39977025,49993132,61470539,61470530,49993121,39977009,31302239,23815600,23815601,31302241,39977011,49993122,55438220,44588685,35208700,27117121,20214530,20214528,27117120,35208693,35208694,44588684,49993139,39977032,35208661,35208662,35208691,35208692,44588683,44588677,35208678,27117118,27117117,35208695,269195797,35208685,27117107,27117105,20214622,14505401,255336855,27117263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15879525, s2 = 14103051, dlinesl.size( ) = 2 s1 = 15879525, s2 = 14103051, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15879525, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 11294901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294901, s2 = 9032034, int(edited[s2]) = 0 s1 = 11294901, s2 = 9032034, d1 = 42, d2 = 33 Dl.O(d1) = 107425122,107425123,116049013,101999087,88020331,74420969,74420971,76649452,76649453,74412820,61632866,61632865,74412819,87884457,74282180,61505540,50027431,40008820,257067557,53546540,65571394,63567319,63567320,74412837,74412836,74412859,88020355,76649454,74412802,61632847,50150372,50150373,61632848,61632898,50150407,40128899,31449169,31449168,40128898,40128889,31449160,31449161,40128887,50150390,61632864,61633311,61632912,51784996,41509752,32626155,32626154,40129339,40129338,50150236,40128766,31449053,23956548,23956551,24957991,18440735,18440737,24958002,31452999,23962328,17613248,17613247,18440745,13099251,8927283,5826580,3635485,3635486,5826585,8927296,13099268,18440775,23957072,17609834,12430102,8401079,5421236,5421237,8401081,8927370,12432752,8402604,8402602,7356478,4646997,2799161,2799162,4647003,7356484,11092470,15978850,17609538,12429904,12429903,17609531,12430015,12430014,17609551,12429914,8400958,5421162,254597625,12429785,12429784,17609330,23628858,17609872,17609629,17609628,22084953,15978746,15978745,22084951,24957876,24957875,24957878,18440663,18440664,24957880,32625681,41509259,47929877,40129196,31449439,23956835,23956833,31449435,40129067,40128988,40128987,32626069,32626068,40144242,40128613,31449032,23956534,17609417,12429846,12429848,12429926,17609580,18440954,13269659,13269657,18661221,25229647,32626136,32626135,41509732,43204696,50157148,50168141,61641376,61640662,61628239,50146244,40125015,33151759,33151758,31445423,23953586,23953587,31445427,31457474,23962743,17613509,17613508,23962740,31457468,31446954,23954682,17608007,17608008,17607639,17607637,23953706,17610614,12430595,12430593,17610606,23958205,31445509,23953640,23953641,28894100,21618143,21618142,23953936,17607625,12428671,12428670,17607618,23954020,30683489,28113012,20936131,20936134,17608581,12429217,12429216,17608576,21393922,21393923,28633006,28633017,28633016,31446319,23954220,17607739,17607395,12428530,8400093,8400094,12428535,8400101,5420632,3332259,1959784,1959783,3332255,5420626,8400089,12428521,17607383,23953664,255528568,23958434,23958433,31451447,31448239,23955725,255181697,12429321,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,8400363,5420781,5420784,8400368,268113537,256024217 Dl.O(d2) = 263225693,262795855,261814569,260697305,101590843,271850977,262329758,259492806,31063331,23679393,23679363,17359041,12229062,8256821,8256820,12229059,17359036,23679355,17359147,255269521,254655037,3798279,3798278,6070719,9268218,13539005,18974222,23679399,31167728,39849835,33341204,32024524,25582124,25581998,18974090,13538897,12790792,12790793,13538900,268147165,13538977,13538978,18974193,22184775,22184776,18043742,12790833,12790832,18043741,13538863,9268107,9268106,13538862,9268227,6070727,254655039,13538941,9268173,6070697,6070696,8695855,8695856,12790811,13538811,13538812,255673329,13538779,9268047,9268046,13538777,9268112,8695843,6070603,6070604,9268011,6070709,6070711,9268002,9268001,13538706,18973837,23679386,18974166,17359058,12229071,8256827,8256828,12229074,13538819,13538817,18973857,13538728,9268017,9268016,13538724,13538995,18974214,18974205,255673351,13538914,13538915,18974116,17359044,12229064,9268089,9268088,9268135,9268073,9268074,9268051,6070626,3798231,2274993,2274992,3798226,2275002,1319252,752554,427441,427442,752557,1319259,2275020,3798275,6070717,9268213,13538964,9268185,9268186,13538966,18974174,18974095,18974096,268147169,13539030,18974146,18974147,256138167,24462775,18043672,18043673,18974069,25581910,18974007,13538835,9268085,9268084,13538833,18974004,255673323,268299555,13538781,9268204,6070712,6070713,254928551,13538957,13538956,18974163,25582094,25582110,33341501,33341336,25581915,18974009,18974010,25581918,25582120,25581732,18973867,13538734,9268020,9268019,13538730,13538720,13538719,18973855,13538955,9268180,9268179,13538953,18974053,13538872,13538874,18974061,18973900,18973899,25581782,33341140,33341139,257210527,42322338,42322339,42322345,42322217,33341373,25581950,25581951,18974187,18973848,18973849,25581714,25581796,25581795,33341200,33341269,36925780,42322094,48013123,38102604,38102605,42322273,33341418,33341419,32182415,32182416,40961517,44606696,35225838,33881287,33881288,42322310,38102453,29538953,22195787,16067191,11156525,11156526,16067195,22195789,27131908,27131906,35225833,44606693,44607138,55455308,44606681,35225826,27131899,22195809,22195810,29538987,38102490,44606685,41029271,41029272,41029269,33341474,25582080,18974154,18974153,25582075,33341467,38102466,38102464,44607143,35226218,27132247,20226599,14514319,14514320,20226401,14514195,9987276,9987275,14514193,20226397,27131950,35225801,29539109,22195914,20226406,14514200,9987278,9987279,255337799,22195861,27131873,20226302,14514108,14514107,20226285,14514094,9987193,9987192,9987205,9987207,255337783,27131882,35225803,27131913,20226335,16067225,16067224,11156600,11156603,16067308,14514022,9987147,6564094,4112219,254474627,9987144,9987245,9987246,14514157,11156559,11156560,14514175,9987264,6564160,6564159,9987263,14514173,16067116,20226357,14514155,9987244,254982749,9987350,6564203,4112290,4112289,6564202,9987349,14514306,20226584,20225796,14514189,9987271,9987270,9987273,9987272,14514191,20226396,268340826,20225886,20225885,27131345,27131940,27131797,27131367,27131356,20225898,14513774,9986984,6563984,6563983,9986983,14513772,16067276,14514054,9987163,6564104,6564103,9987161,14514048,20226237,268049895,6564116,4112226,4112225,6564113,9987175,9987338,9987337,14514293,20226564,27132200,27131809,20226218,14514040,14514041,20226221,27131813,20226254,14514062,14514061,14513708,14513707,14513776,9986987,9986988,14513778,14513780,20225900,26615511,20225905,14513806,9987001,9987002,14513807,14187507,9752990,6412681,254681047,14187509,14187487,14187488,19806781,14513795,14513796,19806794,26615424,20225863,20225864,27131318,20225920,20225919,20225813,14513710,14513709,9986941,6563964,6563965,9986945,14513730,9986962,6563976,6563977,9986966,14513756,20225765,14513683,9986908,6563949,6563948,9753010,9753011,14187540,19806849,20225872,27131328,26615509,19806844,14513680,9986903,9986902,14187504,19806804,26615421,19806790,14187493,9752983,9752982,14187489,19806786,19806839,20225915,20226604,268552189,27131271,27131270,35225083,44605910,43872829,34602792,34602791,43872827,39292275,30694783,27131279,20225837,20225838,27131281,26615504,19806841,19806826,14187523,9752999,6412685,4022851,4022852,6412689,9753003,14187528,19806834,26615489,34602846,27131207,20225764,20225763,27131204,34602784,43872781,34602750,34602749,34602755,27131330,26615498,19806838,19806837,26615495,34602849,35226223,43872787,43872788,39427815,30823537,23395632,17123809,12033783,8089965,8089964,12033781,17123806,23395628,27131358,27131357,35225168,35225150,35225149,43872830,43872831,54615097,60760718,60760717,73509771,87128676,76982707,63871930,52052860,256340090,38508657,38508658,41915983,32975945,25253118,18682304,13289490,9072281,9072280,13289488,18682299,25253109,32975927,41915956,52253995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294901, s2 = 9032034, dlinesl.size( ) = 2 s1 = 11294901, s2 = 9032034, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11294901, Dl.E( ) = 60, 1.6e-05 seconds used appending s1 = 11504389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504389, s2 = 11410960, int(edited[s2]) = 0 s1 = 11504389, s2 = 11410960, d1 = 35, d2 = 27 Dl.O(d1) = 264075534,153862726,260311124 Dl.O(d2) = 263844811 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504389, s2 = 11410960, dlinesl.size( ) = 26 s1 = 11511269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8120922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8120922, s2 = 7425842, int(edited[s2]) = 0 s1 = 8120922, s2 = 7425842, d1 = 30, d2 = 24 Dl.O(d1) = 138774900,151476265,163360360,151476263,138774898,125446094,125446093 Dl.O(d2) = 266531690 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8120922, s2 = 7425842, dlinesl.size( ) = 2 s1 = 8120922, s2 = 7425842, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 8120922, Dl.E( ) = 48, 1.79e-05 seconds used appending s1 = 11330551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11095867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095867, s2 = 11113216, int(edited[s2]) = 0 s1 = 11095867, s2 = 11113216, d1 = 13, d2 = 0 Dl.O(d1) = 32029645,24467417,256570127 Dl.O(d2) = 34687250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095867, s2 = 11113216, dlinesl.size( ) = 14 s1 = 14058677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14058677, s2 = 8499292, int(edited[s2]) = 0 s1 = 14058677, s2 = 8499292, d1 = 38, d2 = 41 Dl.O(d1) = 257516523,72209993,85804278,99758238,113772301,259628654,100605097,269488596,73036340,86637906,86637893,86278119,72678401,72678400,259001548,38631967,30057996,30057995,256971057,59938936,72678397,86278116,100242714,260282187,105870463,91661893,77733748,64551118,257205645,269084449,33285548,25525308,25525307,256649657,52651457,64551128,271337414,77733763,259039387,64551133,52651461,52651460,64551131,77733762,91661916,105870487,120083770,111531043 Dl.O(d2) = 123761332,123761333,136734616,136734617,136734609,129717077,129717076,136734612,136734611,261283348,115818296,101772624,87800501,87800502,101772625,101772631,260113347,115818301,260710137,101772636,87800510,74197230,61418687,61418686,61418681,257642737,49940741,61418685,61418683,49940740,39923023,31247470,31247471,39923025,49940738,44600200,35219405,27126082,23763143,17435483,255558081,31247468,257060179,39923010,39923011,49940732,61418667,67792036,270663523,85178041,85178040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14058677, s2 = 8499292, dlinesl.size( ) = 2 s1 = 14058677, s2 = 8499292, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14058677, Dl.E( ) = 42, 1.79e-05 seconds used appending s1 = 11083525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083525, s2 = 9792444, int(edited[s2]) = 0 s1 = 11083525, s2 = 9792444, d1 = 14, d2 = 20 Dl.O(d1) = 29148577,21840469,15770818,10923216,10923217 Dl.O(d2) = 11944068,11944069,16970120,11882287,11882286,16970117,11910869,11212027,9167966,6000469,3752564,2247171,1303476,743726,422457,422462,743746,934357,1643163,2832222,4701095,7192377,10878775,8991733,8991730,11947767,11947764,16973662,11886214,7946632,5053618,3061574,3061573,5053617,7946630,11886207,11894193,7953346,5058541,5058540,7953343,11894188,13410004,13410003,18822572,16967911,11879882,7941870,5050766,5050767,7941872,11879885,16967914,254384682,15668355,18822792,13410293,13410292,254568502,23235498,23235499,267838188,16983225,16967904,11879876,7941865,5087087,3086345,1802013,1802016,3086355,5087104,7940874,5164434,5164433,7789480,7789481,7790394,7790390,7981509,5079757,3081034,3081033,5079753,7942367,5083400,5083399,7987222,11934770,10835165,7162369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083525, s2 = 9792444, dlinesl.size( ) = 2 s1 = 11083525, s2 = 9792444, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11083525, Dl.E( ) = 26, 1.29e-05 seconds used appending s1 = 315260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 315260, s2 = 6436174, int(edited[s2]) = 0 s1 = 315260, s2 = 6436174, d1 = 1, d2 = 1 Dl.O(d1) = 25942714,33750169,42780914,53232087,60368564,60368563,48972828,39051190,30461605,23053649,16807532,16807533,23053650,16807540,11753208,7847574,4981504,3009262,3009261,4981502,7847566,4981497,3009259,3009260,4981500,7847568,268097729,255129137,11753192,7847553,4981486,3009250,1748022,1748021,254371661,7847544,11753179,16807506,23053627,29397799,29397800,37962201,47880026,59275407,268964943,30461577,30461578,39051159,48972798,48972802,60368545,73107903,269639816,44571997,44571998,35193933,27104752 Dl.O(d2) = 25942714,33750169,42780914,53232087,60368564,60368563,48972828,39051190,30461605,23053649,16807532,16807533,23053650,16807540,11753208,7847574,4981504,3009262,3009261,4981502,7847566,4981497,3009259,3009260,4981500,7847568,268097729,255129137,11753192,7847553,4981486,3009250,1748022,1748021,254371661,7847544,11753179,16807506,23053627,29397799,29397800,37962201,47880026,59275407,268964943,30461577,30461578,39051159,48972798,48972802,60368545,73107903,269639816,44571997,44571998,35193933,27104752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 315260, s2 = 6436174, dlinesl.size( ) = 2 s1 = 315260, s2 = 6436174, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 315260, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 11533181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533181, s2 = 15267281, int(edited[s2]) = 0 s1 = 11533181, s2 = 15267281, d1 = 7, d2 = 17 Dl.O(d1) = 224636035 Dl.O(d2) = 263192554,194398090,186209021,272577586,260650196,154469768,141824865,128471639,128471638,114585738,100553554,86591783,72994005,72994004,60258222,48865141,38945417,30359256,22957784,20030275,254369792,11680141,16721763,20031427,14348416,14348415,20031424,26145687,26145686,20031486,20031487,26915830,30798793,23372268,17103520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533181, s2 = 15267281, dlinesl.size( ) = 14 s1 = 15100804, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15100804, s2 = 11122778, int(edited[s2]) = 0 s1 = 15100804, s2 = 11122778, d1 = 7, d2 = 16 Dl.O(d1) = 33827251,33827252,35214804,27122319,20218837,20218839,27122328,26009497,26009500,33194823,40184907,31499864,24001825,24001826,257081495,33077569,33077570,42021460,268487768,256402918,29903520,256548316 Dl.O(d2) = 11457678,11457681,16444697,22631825,30001316,38571882,37012574,35217546,33194665,33194663,27124338,27124334,256003664,55447628,67790438,64210705,52360848,48262225,257530475,49744207,55447031,255908438,27123606,20219692,14509287,255337221,20220108,18664340,18664341,25233213,31500203,24002052,17657415,12486503,8457363,5464694,5464696,8457368,12486520,17657447,24002112,31500282,35214804,27122319,27122321,31609167,40292134,46617753,46617755,49744291,49744293,42153806,42153805,38240142,29675325,22324417,16179162,11245846,11245847,16179169,22324436,29675360,36945725,28445972,21219887,18766180,18766179,255232345,13026440,18348906,24844539,28492534,21275744,15314047,10576821,6976859,4383202,2625400,2625401,4383203,6976861,268069587,21275759,26939028,20053020,20053019,256028609 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15100804, s2 = 11122778, dlinesl.size( ) = 20 s1 = 14296493, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 1384945, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11226973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226973, s2 = 11129776, int(edited[s2]) = 0 s1 = 11226973, s2 = 11129776, d1 = 18, d2 = 15 Dl.O(d1) = 90027726,271954173,145355041,262332880,271345348 Dl.O(d2) = 48426222,38518628,29953949,29953950,38518631,38606377,31074927,255499890,8189710,5259301,5259300,8189709,255159235,23591605,31074926,256900042,48697882,38775630,38775631,257563203,72831316,257771190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226973, s2 = 11129776, dlinesl.size( ) = 14 s1 = 11030193, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11030193, s2 = 10416770, int(edited[s2]) = 0 s1 = 11030193, s2 = 10416770, d1 = 62, d2 = 117 Dl.O(d1) = 254683173,6432838 Dl.O(d2) = 255029047,6988141,4391205,4391206,6988143,10593305,15337687,17336184,16472502,16472503,17811449,15337440,15337441,21307026,28351976,28351975,36849589,31360538,31360539,28885761,21609751,15580827,15580826,15337501,15337500,18789346,18789348,25374187,33109502,37506830,256887647,46904900,39701892,256499797,31063016,39740898,39740901,31063017,23579313,17267542,12146953,8176768,5246394,3204635,1876542,1070532,1070530,1876540,3204630,5246382,8176736,12146899,17267489,16599877,16599876,17846099,17119353,15059030,15059029,20968870,19819809,18419030,18419026,13082845,13082842,18419016,24217028,22081438,20951076,20951077,19652142,14086137,14086134,16210107,11268370,7480216,4727335,2848227,1652522,1652520,2848219,4727322,5573425,8577651,12633041,11548533,7683146,4861350,4861349,7683139,11548481,11548482,14096049,19657532,21480689,16568001,16568002,15519903,254794922,4465312,4465316,7091931,10247299,10247298,10384564,15059025,14090330,9691437,6374500,3999795,3999796,6374506,9691453,12028427,11838577,11838578,16915919,17767077,19664320,21138458,21138459,24249880,24249879,29170638,21861041,21841563,21841564,29149755,37709997,29149744,29149745,31178339,23689077,23689081,23689084,23689086,23777505,17447524,12298803,12298801,14340020,15788434,21114946,28324554,36819750,33896627,26071394,268156781,13868748,19387456,26071396,33896631 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11030193, s2 = 10416770, dlinesl.size( ) = 34 s1 = 13378609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10916033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269785, s2 = 14192681, int(edited[s2]) = 0 s1 = 11269785, s2 = 14192681, d1 = 50, d2 = 76 Dl.O(d1) = 271751511,85517148 Dl.O(d2) = 46847155,46847156,36968324,36968323,36968322,268914901,58215195,70932449,258870676,58215190,46847153,36968320,28469747,28469749,268914901,58215195,70932449,258870676,58215190,46847153,46847154,58215191,70932448,84496619,98418338,112407308,260109976,84496617,70932446,58215190,58215189,269394858,256509738,21248871,15283129,10548831,6957090,6942242,4362997,4363000,6942272,6820435,6820434,10356335,7377270,4660650,4660646,7377254,11122428,10527327,6942958,6942956,8116300,8116304,9234640,13497848,15289136,15263008,10530971,6945151,4364492,4337583,2596792,1498010,848893,848894,1498014,2596807,4337614,6906105,10474064,13521361,9253093,9253091,13521356,15308694,15308693,18951329,17560876,15308271,10571778,6973036,6973038,8619339,6057473,3790275,2270618,2270617,3790271,6057461,9249117,10977382,10696939,7066942,7066943,9237960,13502268,15306733,15306731,15258218,10526933,6942711,6942713,10526940,12057928,8971974,8971970,8112611,5197448,3171046,3171049,5197456,4373592,4373590,5403074,5403079,5423335,8404566,7902561,7902563,7902623,11825017,9258834,9258833,13528106,13507951,9242324,6053160,3787847,2615397,2614685,2614686,4363024,6942325,6048543,6048541,9235188,9235258,10572094,6973269,4380660,4380661,6973274,10572100,255392835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269785, s2 = 14192681, dlinesl.size( ) = 50 s1 = 14166573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166573, s2 = 8629293, int(edited[s2]) = 0 s1 = 14166573, s2 = 8629293, d1 = 11, d2 = 34 Dl.O(d1) = 140768804 Dl.O(d2) = 105908903,120120573,133962230,147184202,159542822,170870476,262464911,159248652,159248654,146877368,133623757,119753780,105519679,91301945,77383795 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112650, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112650, s2 = 11044955, int(edited[s2]) = 0 s1 = 11112650, s2 = 11044955, d1 = 22, d2 = 32 Dl.O(d1) = 138780700 Dl.O(d2) = 18275422,12970945,12970946,18275426,268610396,30907654,39516513,49448389,60850095,73599591,87221564,101222372,115300384,129228491,142599192,155236345,166921573,163431359,151548895,138846719,125514190,111707574,97785176,83926385,70400248,57706360,46357206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112650, s2 = 11044955, dlinesl.size( ) = 22 s1 = 11344155, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11344155, s2 = 11116238, int(edited[s2]) = 0 s1 = 11344155, s2 = 11116238, d1 = 50, d2 = 20 Dl.O(d1) = 261049782 Dl.O(d2) = 54868632,44067980,34751410,26731711,19897195,254967641,6440098,4039531,2420432,1401043,1401045,2420436,4039538,6440113,9796976,7561359,7561360,11381119,16354570,17086242,17086241,19896726,268332759,30778043,30778044,34751595,34751594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11344155, s2 = 11116238, dlinesl.size( ) = 46 s1 = 14194447, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14296740, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14296740, s2 = 11752009, int(edited[s2]) = 0 s1 = 14296740, s2 = 11752009, d1 = 23, d2 = 32 Dl.O(d1) = 28929797,37471116,47378180,58765405,258699811,259945139,114428907,100405200,86448849,259421849,114428906,261215097,154306490,164710026,175464500,185005401,193336930,193336931,187512387,187512388,263666232,195815971,187878494,178775097,168468306,157021245,157021237,144624678,273195128,103472394,258950337,62667412,51038892,256577215,18110975,12842273,12842274,255611823,32124617,269028037,257813900,23966085,255683612,5422567,3333452,254405059,8403435,12434041,17615921,23966077,31462026,24938279,20115644,20115643,27006747,20116574,14426570,14426569,20116570,27007969,27006202,255356866,32591770,41468793,41290904,256559974,24653511,24653512 Dl.O(d2) = 130141978,116231955,271869733,116231967,102171748,260142509,130141995,143472349,156011073,167620660,178083999,263639601,187321369,187321368,189569539,263985953,262829839,167620660,178083999,263639601,187321369,187321368,189569539,180669869,178083966,167620639,167620638,167620659,167620666,262829843,187321401,187321367,178083973,167620643,167620642,178083968,262359335,143472329,130141978,116231955,271869733,130141996,143472351,261311233,130141991,116231963,102171746,102171747,116231964,130141992,130141981,116231958,102171744,88181944,74567769,74567770,88181946,260142509,130141995,143472348,143472344,130141988,116231961,102171745,260142507,116231965,130141991,116231963,116231962,261311229,261311231,156011062,261853371,130141981,116231958,116231959,130141984,261853373,262829837,167620654,156011070,143472342,143472341,156011069,143472342,130141986,116231960,102171745,88181944,74567769,257672267,40284264,256035355,17737533,12550273,12550274,8509540,8509524,5509933,3398275,3398265,2003497,2003496,3398259,3398320,3398322,5510012,8509646,8932722,13106649,17738162,12550650,12550358,12550357,17737666,18450489,24970254,31599868,31599697,24095788,17737507,12550251,12550250,17737503,17737452,12550210,8509381,5509858,5509860,8509393,12550230,17737474,24095736,31599642,24095943,24095942,31599713,24095797,24095796,17737523,17737524,24095811,25091312,18545528,13177174,8982303,8982302,13177171,18545523,25091304,24095973,24095974,24095978,17737650,17737649,18450476,13106661,8932731,5830420,5830419,8932738,255237457,24970257,24095724,24095726,31599636,31600412,24096282,24096281,31483277,31600427,31600428,40285309,50305341,40284508,40283920,31599400,31599399,24095888,24095889,31599477,24095628,17737400,12550174,8509362,5509887,5509886,5509853,5509854,8509374,12550195,8509623,5509994,5509992,8433756,12465000,17640612,23986381,257080195,50192370,258272259,88071415,74572524,257501814,40286069,31601012,31599542,24095666,17737423,17737424,24095667,256541693,50304740,60518293,73263739,86875929,88181748,74569363,61785468,50305534,40284687,40284690,50305541,51668213,51668215,51668163,41426051,32565875,24913551,18407853,13075063,8909751,8909750,13075057,255632875,32565832,256585256,41426052,41426053,40064677,40064678,50086114,61566246,51668236,51668237,58461823,268917718,37188355,47083753,58461821,71183735,84752308,71916951,71916950,74459292,61676215,61676211,74459290,74343454,257798632,84842218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14296740, s2 = 11752009, dlinesl.size( ) = 2 s1 = 14296740, s2 = 11752009, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14296740, Dl.E( ) = 36, 1.31e-05 seconds used appending s1 = 14296746, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10637279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11362201, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14296824, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12491173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11153867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153867, s2 = 11261680, int(edited[s2]) = 0 s1 = 11153867, s2 = 11261680, d1 = 21, d2 = 0 Dl.O(d1) = 258218399,87128177,101126293,260082161,101126292,115204054,272245675,155157607 Dl.O(d2) = 103902314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153867, s2 = 11261680, dlinesl.size( ) = 34 s1 = 11409917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409917, s2 = 4435006, int(edited[s2]) = 0 s1 = 11409917, s2 = 4435006, d1 = 15, d2 = 44 Dl.O(d1) = 170788176 Dl.O(d2) = 206255382,263846186,175007665,184607962,192991343,200182919,206255388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409917, s2 = 4435006, dlinesl.size( ) = 28 s1 = 15401147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15401147, s2 = 14296883, int(edited[s2]) = 0 s1 = 15401147, s2 = 14296883, d1 = 6, d2 = 6 Dl.O(d1) = 51668097,63411381,71010509,58295555,58295556,58461839,58461840,58295532,46929789,37051755,37051754,46929784,58295522,71010472,68136855,57656995,57656994,70347236,70798293,58081577,58081576,67546149,55202379,44563575,44563576,55411253,258255924,85850432,85850433,84707884,71138100,58416575,48123685,38213406,29646829,29646830,38213408,48123689,59511226,72245804,270840859,258634104,71268238,58536456,47147955,37242552,28711572,21456384,21456383,28711568,37242546,47147886,58536344,58536327,58536328,71268114,84752312,74005792,61224570,49744986,49744989,61224576,61592970,61592969,71268069,58536288,58536287,71268067,73033416,73033417,71268108,58536320,47147874,37242503,37242504,47147877,49727084,39708535,31031539,23550376,17242317,17242316,23550372,31031532,37242665,47148092,58536621,48900934,47147981,37242572,28711585,21456389,21456388,28711582,37242564,47147970,38979736,30392538,30392537,23550364,23550363,31031502,31031503,39708484,49727028,40092468,31412687,23923114,23923113,31412684,40092461,44351897,44351896,47147825,58536258,58536583,49745355,44351878,34974374,34974375,44351879,55202402,61592995,71268074,58540627,47152231,47152230,58540622,48900877,38979707,30392522,30392520,38979701,48900866,48900896,38979717,38979718,48900899,48900959,38979780,30392561,22989201,16750850,11704828,11704829,16750854,22989209,30392573,38979801,48900990,50112967,49745325,48612261,48612259,57745724,57745723,49745369,39726042,31047223,31047224,39726045,36534406,36534407,37074256,37074254,31047215,31047214,39726023,47148053,52325366,52325367,61224653,61224652,61353597,58536353,47147892,47147893,257754974,70440869,61224884,61224883,49745340,256098614,31047064,31047065,39725807,49745082,61224678,61353581,49871783,39849486,31167414,23679046,23679045,31167407,39849471,49753643,49753644,49745169,39725901,31047136,23563121,17252187,12132591,12132592,17252194,23563130,31047098,31047097,31047039,23563084,23563085,31047045,39725765,49745028,50352428,40325480,40325481,41666224,47388622,47388621,58775785,61836890,50352769,49745230,49745229,61224717,60672729,60672730,50352409,50352410,51904271,61224661,61224670,72083411,72083410,63710718,51904123,41604342,39849482,39849481,49871775,61353569,61836737,61232623,61232622,61224750,49745199,39725892,31047130,31047129,31047114,31047113,25017832,25017833,32701334,41604210,48978332,39056108,39056109,31636148,24129062,17765762,17765761,24129055,24129069,24129067,31636162,40325515,50352487,50352776,40325755,40325756,50352421,50352811,51904131,59680945,59680946,61836879,61836880,58933102,58933104,47959542,38046420,38046419,47959537,40325559,31636179,24129076,24129077,31636182,40325562,50352575,61836741,59818908,48432884,48432885,50352516,49745128,49745127,39725906,39725905,49745212,61224636,49745050,39725790,31047056,31047055,39725784,257091675,61836639,257382086,48979572,46313242,36460525,36460526,39745234,49173686,39248504,39248503,48386755,39248518,31636233,31636232,38660232,40325586,40325588,46312609,36459806,36459804,46312603,46922029,39745228,31067087,23582864,23582865,24129123,24129121,24191151,31699354,31636219,24129091,17765778,12571934,8526117,5524739,5524740,8526120,12571941,17765789,24129111,31636262,40325655,50352654,46312760,46312762,49763748,52701292,42314177,33333784,33333785,256270315,20836315,14937336,10273182,6751304,6751305,10273185,14937343,20836331,28001066,31067080,24191127,24191128,31699332,29923210,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,20836423,22564265,16384474,16384475,22564268,29923842,25282132,25282131,20836920,20836919,28001728,31067106,39745170,39745171,36460538,28001754,20836932,14937816,14937817,20836933,16276539,11317956,11317955,16276534,255913991,31699342,31699358,36460433,46312784,36460003,36460002,46312781,38465937,29908474,22551994,22551993,29908471,32379924,36460027,36460024,36459941,28001170,22563753,16384112,16384113,22563758,28001146,20836396,20836397,28001112,28001111,31636228,29923203,29923204,38483355,48386067,38985192,30397500,30397501,38985197,46313258,36460573,28001788,20836961,14937838,10273535,6751519,6751518,10273529,14937829,14937746,10273467,10273466,14937742,20836842,28001651,36460439,46312480,46312481,57656663,48576144,38660277,30083004,22701130,16497580,268954104,254542101,11494551,16497584,22701135,30083012,28001137,28001136,28001211,20836440,14937413,10273228,10273227,14937411,20836437,256270333,46312773,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36458975,36458977,36459541,28000865,20836200,14937278,10273153,6751287,4230449,4230450,6751293,10273167,14937312,20836273,28000977,20836400,20836402,22701131,30083008,28544689,21321117,21321115,28544686,36460398,28001612,20836817,14937728,10273461,10273460,14937720,20836798,28001587,31067039,31067038,28975578,21693003,15652702,15652700,21692999,28975575,37519393,39745180,49763703,61242571,58814419,57656632,48365947,38464376,29907035,28001616,28001617,36460403,28001804,26137999,20836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360,16908361,23172024,30590516,39188108,31820418,24304110,24304109,31820415,33639352,37996650,33638124,25835201,25835202,33638127,33639162,33638641,33638642,42668110,33639154,25836063,19182846,19182847,25836013,25836027,19182807,19182808,13699337,13699339,19183100,25836393,33433098,33433097,42425414,42668156,33638802,25835792,19182627,19182629,25835800,25835606,19182447,13698745,13698744,13698704,9381895,9381896,13698660,9381861,6146252,6146254,9381866,13698668,19182330,25835452,33638412,25836349,19183072,19183074,19183027,19182645,13698947,13698948,19182650,25835819,33638835,42668283,42668840,42668841,33639567,33639338,25836264,25836265,33639339,42668272,42668222,42668225,42668700,42668922,42668461,33639047,25835978,19182759,13699044,9382155,9382154,13699042,19182753,25835968,33639029,42668439,53120025,46586309,36699599,28208670,21015714,15094017,10410252,6862222,6862223,10410256,15094027,21015728,23173801,30592479,39188945,39188944,49117302,49117345,39188873,30591373,23172833,16909008,16909009,23172838,256467417,42668624,39188774,30591277,255689814,33639708,33639707,30591006,28208662,28208663,23173599,16909549,11833891,7908693,7908694,7908795,11834067,16909792,23173864,30592293,23175990,23175991,30592224,30592498,30592411,30592413,30592370,30592371,39189771,268658893,23176616,16912142,16912143,23172821,23172822,30591360,30591422,39188852,39188924,39188925,30591429,23172878,16909043,11833578,7908496,7908495,11833581,16909054,16908910,11833482,11833483,11833954,11833955,16909598,11833929,7908713,7908712,11833925,7909740,5028231,5028230,7909738,11833830,11833829,16909441,255136285,11836311,16912793,23176044 Dl.O(d2) = 51668097,63411381,71010509,58295555,58295556,58461839,58461840,58295532,46929789,37051755,37051754,46929784,58295522,71010472,68136855,57656995,57656994,70347236,70798293,58081577,58081576,67546149,55202379,44563575,44563576,55411253,258255924,85850432,85850433,84707884,71138100,58416575,48123685,38213406,29646829,29646830,38213408,48123689,59511226,72245804,270840859,258634104,71268238,58536456,47147955,37242552,28711572,21456384,21456383,28711568,37242546,47147886,58536344,58536327,58536328,71268114,84752312,74005792,61224570,49744986,49744989,61224576,61592970,61592969,71268069,58536288,58536287,71268067,73033416,73033417,71268108,58536320,47147874,37242503,37242504,47147877,49727084,39708535,31031539,23550376,17242317,17242316,23550372,31031532,37242665,47148092,58536621,48900934,47147981,37242572,28711585,21456389,21456388,28711582,37242564,47147970,38979736,30392538,30392537,23550364,23550363,31031502,31031503,39708484,49727028,40092468,31412687,23923114,23923113,31412684,40092461,44351897,44351896,47147825,58536258,58536583,49745355,44351878,34974374,34974375,44351879,55202402,61592995,71268074,58540627,47152231,47152230,58540622,48900877,38979707,30392522,30392520,38979701,48900866,48900896,38979717,38979718,48900899,48900959,38979780,30392561,22989201,16750850,11704828,11704829,16750854,22989209,30392573,38979801,48900990,50112967,49745325,48612261,48612259,57745724,57745723,49745369,39726042,31047223,31047224,39726045,36534406,36534407,37074256,37074254,31047215,31047214,39726023,47148053,52325366,52325367,61224653,61224652,61353597,58536353,47147892,47147893,257754974,70440869,61224884,61224883,49745340,256098614,31047064,31047065,39725807,49745082,61224678,61353581,49871783,39849486,31167414,23679046,23679045,31167407,39849471,49753643,49753644,49745169,39725901,31047136,23563121,17252187,12132591,12132592,17252194,23563130,31047098,31047097,31047039,23563084,23563085,31047045,39725765,49745028,50352428,40325480,40325481,41666224,47388622,47388621,58775785,61836890,50352769,49745230,49745229,61224717,60672729,60672730,50352409,50352410,51904271,61224661,61224670,72083411,72083410,63710718,51904123,41604342,39849482,39849481,49871775,61353569,61836737,61232623,61232622,61224750,49745199,39725892,31047130,31047129,31047114,31047113,25017832,25017833,32701334,41604210,48978332,39056108,39056109,31636148,24129062,17765762,17765761,24129055,24129069,24129067,31636162,40325515,50352487,50352776,40325755,40325756,50352421,50352811,51904131,59680945,59680946,61836879,61836880,58933102,58933104,47959542,38046420,38046419,47959537,40325559,31636179,24129076,24129077,31636182,40325562,50352575,61836741,59818908,48432884,48432885,50352516,49745128,49745127,39725906,39725905,49745212,61224636,49745050,39725790,31047056,31047055,39725784,257091675,61836639,257382086,48979572,46313242,36460525,36460526,39745234,49173686,39248504,39248503,48386755,39248518,31636233,31636232,38660232,40325586,40325588,46312609,36459806,36459804,46312603,46922029,39745228,31067087,23582864,23582865,24129123,24129121,24191151,31699354,31636219,24129091,17765778,12571934,8526117,5524739,5524740,8526120,12571941,17765789,24129111,31636262,40325655,50352654,46312760,46312762,49763748,52701292,42314177,33333784,33333785,256270315,20836315,14937336,10273182,6751304,6751305,10273185,14937343,20836331,28001066,31067080,24191127,24191128,31699332,29923210,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,20836423,22564265,16384474,16384475,22564268,29923842,25282132,25282131,20836920,20836919,28001728,31067106,39745170,39745171,36460538,28001754,20836932,14937816,14937817,20836933,16276539,11317956,11317955,16276534,255913991,31699342,31699358,36460433,46312784,36460003,36460002,46312781,38465937,29908474,22551994,22551993,29908471,32379924,36460027,36460024,36459941,28001170,22563753,16384112,16384113,22563758,28001146,20836396,20836397,28001112,28001111,31636228,29923203,29923204,38483355,48386067,38985192,30397500,30397501,38985197,46313258,36460573,28001788,20836961,14937838,10273535,6751519,6751518,10273529,14937829,14937746,10273467,10273466,14937742,20836842,28001651,36460439,46312480,46312481,57656663,48576144,38660277,30083004,22701130,16497580,268954104,254542101,11494551,16497584,22701135,30083012,28001137,28001136,28001211,20836440,14937413,10273228,10273227,14937411,20836437,256270333,46312773,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459482,36458975,36458977,36459541,28000865,20836200,14937278,10273153,6751287,4230449,4230450,6751293,10273167,14937312,20836273,28000977,20836400,20836402,22701131,30083008,28544689,21321117,21321115,28544686,36460398,28001612,20836817,14937728,10273461,10273460,14937720,20836798,28001587,31067039,31067038,28975578,21693003,15652702,15652700,21692999,28975575,37519393,39745180,49763703,61242571,58814419,57656632,48365947,38464376,29907035,28001616,28001617,36460403,28001804,26137999,20836206,20836207,28000877,20836251,14937301,14937300,20836247,28000943,20982114,15069986,15069985,20982110,28161879,36636746,36636765,36636764,46312318,57656689,47030605,46312399,46312398,256947872,46312320,46312319,268916598,57656802,53512252,53512253,59768912,48386072,48386074,59768915,57656865,57656866,57656871,46312531,36459736,28628774,28628773,37142164,46312403,46312402,40048921,40048920,50068223,50216036,40193603,31507884,31507885,40193606,50216041,57657303,48576122,38660256,36459603,28000908,20836224,14937286,14937285,20836218,28000900,36459590,46312358,48421072,38513965,38513964,47867322,37949259,37949260,47867326,47867485,46312395,46312397,46312663,46312665,47867329,58402488,57656887,57656886,61743753,71120058,74633622,61841505,59262975,50068217,50068216,53510911,46312368,46312369,57656741,50357498,50348700,40322226,40322225,268988304,61346733,49864167,39841050,37949384,37949385,47867469,59263039,50357502,47166025,37260159,268296912,58554954,57656873,46312536,46312537,53512106,43033784,33976853,33976854,43033786,53512109,47867458,37949371,29384761,29384762,37949376,47500895,255469440,37949312,29384729,22054681,22054680,29384728,37949310,47867386,50265163,40245497,31559228,24054605,24054606,24134877,17771136,17771135,24134874,31641710,40245506,50265199,61743631,50265149,40245520,31559242,31559243,40245522,50265216,58365202,55424674,44577512,35199193,31559185,31559186,40245442,48888902,38968856,38968857,48888904,52331676,256405640,39863029,31180589,23690885,17368326,17368327,256003807,31270126,39944740,33977147,26138263,26138262,33977146,43034031,41992335,33048903,25320539,25320538,33048902,41992332,43033086,33976137,26137301,19441329,19441330,26137303,26136912,26136913,33975721,33975590,33975588,26137971,26137973,32300146,31270116,23784843,17454251,17454255,23234389,16961824,11873751,11873750,16961817,23234381,30655622,33975702,26137378,26136693,26136694,33975530,39251360,33975520,26137380,256174145,26136967,19441740,13911984,13911986,19441745,13912343,9548265,9548052,9548050,13912064,19441833,26137929,33976837,43033748,33976800,26137901,19441799,13912034,9548038,9548039,13912038,256174167,33976847,33976846,43033777,53510989,43032462,33975500,26136662,19440792,13911247,9547489,9547488,9547524,9547498,9547499,13911265,19440810,19440860,13911975,13911974,13911991,16985454,11899960,11899959,13911482,9547661,6264245,6264246,6264680,6264681,9548268,9547825,6264374,6264375,9547830,13911146,13911144,19440646,26136473,26137045,19441144,19441142,19441181,13911590,13911529,9547699,6264270,3921740,2347684,1359853,775092,775090,1359786,1359787,1359789,775059,775060,1359790,2347574,2347653,3921953,6264493,6264492,6264265,3921735,3921734,6264263,254949877,6264112,3921635,254210049,1359755,2347494,254458781,9547457,9547898,6264409,6264410,9547460,13911213,19440735,255705455,19441643,256510201,255554895,17390443,17390444,23714296,31202042,31202043,256510213,43032217,33975178,33975179,43032220,49903071,39882024,31201996,23714250,23714252,26136388,19441634,19441635,19859808,17390507,17390506,23714386,31202161,39882144,39882152,43033210,33976658,33976657,33976659,43033604,44577984,44577292,35198965,34678067,31115163,23628584,23628586,31115169,39795780,32312725,28743774,28743775,37276320,35199542,35199544,27109750,27109748,35199583,32312729,32312730,254986906,27109143,35198947,44577281,55424502,44577312,44577311,38273955,38273956,35199447,35199446,35199759,35199758,34690339,26695724,26695725,27109490,20208929,14501430,9978526,6558568,6558570,9978530,9978518,6558564,4108857,4108856,6558561,9978513,14501412,20208908,26695746,19875492,255732715,22352099,22352100,29707212,27109507,20208697,14501266,9978417,9978416,14501263,14501067,14501068,20208418,22352159,22352158,18229164,18229166,20208854,20208853,27109686,27109692,20208861,14501381,9978491,6558552,4108853,4108854,6558558,9978504,7476551,4725154,2847003,2847004,4725156,7476557,11262222,9789294,6435728,6435727,9789292,14240350,19875507,14501047,9978315,6558459,4108811,254474183,9978310,14501037,11262318,11262317,16201298,20208806,20208319,14500997,9978288,6558449,6558452,9978299,14501019,20208351,27109081,27109103,27109102,35198889,35198890,44577240,44577384,35199068,27109249,27109250,29924881,29924880,29707423,29707424,29707367,22352238,22352237,22352242,22352241,29707373,256285992,48183468,44578060,44578061,37324902,28788696,21524724,21524725,28788697,37324904,30589771,30589770,24291330,17909557,12688149,12688148,17909553,24291323,31806027,40501184,35198840,35198842,43034426,37479102,28937130,28937131,37479103,47386848,58774169,71503552,256273058,37479066,28937109,28937110,256273060,47386894,47386896,43034408,43034409,46352839,46352840,47386844,37479100,28937129,21658631,15622917,10809480,10809481,15622919,21658637,28937140,30590308,23171887,16908298,16908299,255966331,30590517,30590518,39188111,49116734,60518432,60518309,49116270,256673230,53119817,42668045,42668044,53119800,42668775,42668774,53120072,42668517,42668516,39187810,39187809,39188103,30590512,23172018,16908360,16908361,23172024,30590516,39188108,31820418,24304110,24304109,31820415,33639352,37996650,33638124,25835201,25835202,33638127,33639162,33638641,33638642,42668110,33639154,25836063,19182846,19182847,25836013,25836027,19182807,19182808,13699337,13699339,19183100,25836393,33433098,33433097,42425414,42668156,33638802,25835792,19182627,19182629,25835800,25835606,19182447,13698745,13698744,13698704,9381895,9381896,13698660,9381861,6146252,6146254,9381866,13698668,19182330,25835452,33638412,25836349,19183072,19183074,19183027,19182645,13698947,13698948,19182650,25835819,33638835,42668283,42668840,42668841,33639567,33639338,25836264,25836265,33639339,42668272,42668222,42668225,42668700,42668922,42668461,33639047,25835978,19182759,13699044,9382155,9382154,13699042,19182753,25835968,33639029,42668439,53120025,46586309,36699599,28208670,21015714,15094017,10410252,6862222,6862223,10410256,15094027,21015728,23173801,30592479,39188945,39188944,49117302,49117345,39188873,30591373,23172833,16909008,16909009,23172838,256467417,42668624,39188774,30591277,255689814,33639708,33639707,30591006,28208662,28208663,23173599,16909549,11833891,7908693,7908694,7908795,11834067,16909792,23173864,30592293,23175990,23175991,30592224,30592498,30592411,30592413,30592370,30592371,39189771,268658893,23176616,16912142,16912143,23172821,23172822,30591360,30591422,39188852,39188924,39188925,30591429,23172878,16909043,11833578,7908496,7908495,11833581,16909054,16908910,11833482,11833483,11833954,11833955,16909598,11833929,7908713,7908712,11833925,7909740,5028231,5028230,7909738,11833830,11833829,16909441,255136285,11836311,16912793,23176044 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15401147, s2 = 14296883, dlinesl.size( ) = 2 s1 = 15401147, s2 = 14296883, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15401147, Dl.E( ) = 8, 1.79e-05 seconds used appending s1 = 14296884, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11374103, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11374103, s2 = 7481092, int(edited[s2]) = 0 s1 = 11374103, s2 = 7481092, d1 = 21, d2 = 116 Dl.O(d1) = 151572389 Dl.O(d2) = 267076093,242514462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11374103, s2 = 7481092, dlinesl.size( ) = 80 s1 = 11159873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159873, s2 = 12891279, int(edited[s2]) = 0 s1 = 11159873, s2 = 12891279, d1 = 8, d2 = 18 Dl.O(d1) = 51183130 Dl.O(d2) = 32234345,24636718,18181031,12893859,8769829,5710931,3554576,3554575,5710928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159873, s2 = 12891279, dlinesl.size( ) = 12 s1 = 11097372, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16169290, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10771812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059691, s2 = 13484937, int(edited[s2]) = 0 s1 = 11059691, s2 = 13484937, d1 = 19, d2 = 31 Dl.O(d1) = 22423377,16257491,11303007,7504256,4743488,4743487,7504254,5605999,3481031,2066166,1185943,1185944,2066174,3481049,5482931,7504245,7504247,4743650,4743651,7504483,7281444,7281445,10999811,10990058,7275190,4588120,2760397,1600221,909779,909780,1600225,2760408,2193542,1273892,1273891,2193536,3665084,254639399 Dl.O(d2) = 21071097,17038756,17038754,23298915,30716093,23670927,17351975,17351973,23670922,31159139,34645575,43918521,49241202,46654295,46654296,47869967,50388723,47682010,37759829,29198303,21885960,21885963,17352027,12223718,8252952,8252951,12223716,17352019,23671016,31159295,37034880,37034883,37034866,28536736,28536733,30780643,23356136,17088029,12000598,8054020,8054019,12000594,17088014,23298553,17038503,16395694,16395695,22578532,17038749,11952512,10439171,10439172,15135834,17351981,12223704,8252947,8252945,12223700,255540197,8125884,5205901,3176094,3176093,5205897,8125874,11265892,16206415,16808846,11754091,11754090,7848095,7848093,7848113,7848115,11754148,16808909,23055386,23945213,17600172,17600170,23945203,22359463,22359462,24245843,18879000,13453554,9200448,9200449,13453560,18878977,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769327,6025222,6025501,3769475,3769474,6025500,254923299,18885756,25489639,33239254,41523627,32637405,32637403,256505584,33929423,26096179,26096178,256689495,53457488,65477479,71853901,59116051,254759050,38427921,47289407,47289408,49376635,268629576,47680626,47680623,59080598,71473150,59197454,256915129,255877219,15881628,15881629,21976284,29303780,37873049,35049807,26968625,20083301,254975007,9904430,14399495,20083304,26968631,35049818,44424558,55271833,62156605,62156606,268924366,48319655,44424556,44424555,48138292,38228126,38228125,48138289,49054765,40021178,31341704,23848692,22344331,22344332,29698037,38263857,38228110,38228109,48138266,59525288,53885970,43361896,35144492,27059241,20165677,20165676,27059238,32970037,41909402,52246362,64093598,53726394,43214552,43214553,47744617,37822643,37822642,47744615,59143328,71881521,77991280,77991281,91915706,258356318,58209527,58209528,70926802,65475234,53455322,53455323,43870676,34600437,26613207,26613208,34600442,43870682,54613157,47744483,47744482,48245712,46337388,36481415,36481418,46337396,47681384,40021190,40021191,37822677,29257749,21937087,15849286,10984100,10984098,15849279,21937078,29257735,37822651,47744627,47744512,39898257,31221361,23737563,23737562,31221359,39898247,49918022,50040879,61520150,52246384,41909417,32970045,25247730,25247731,32970050,41909424,52246389,59143350,71881531,85466283,77800039,77800038,257713046,65782694,65782693,79137016,65782667,65782668,59129808,59129809,71868130,73259374,257157950,39180826,39180825,257592203,52877569,52877570,256604930,79137024,65782692,65782573,53726191,43214567,43214565,52717340,42330197,33348769,25588421,25588422,33348773,42330204,43214213,43214214,42814113,33781510,25971169,25971170,32926891,41857113,52182122,48426199,48426200,59812173,72369798,59635683,52246376,268284190,77042091,64016086,52182125,41857115,41857116,52182127,64016090,64797068,52877610,52877612,57965873,46589419,36702588,28211390,28211389,25588427,18979510,18979511,25588429,33348782,42330213,52109980,63929546,63929551,52109987,52109985,42457344,33464222,25691818,19067381,19067379,25691812,33464213,42358385,33479814,33464310,25706382,19079582,13621586,9327317,9327318,13621579,19079566,25706350,33479687,31638201,31638200,33377558,25691873,19067422,19067423,25691880,25691862,19067412,19067411,19067429,25691886,255611980,52861407,52861406,52861405,42473244,33479569,33479568,42473243,52877355,52757890,42358368,33369429,33369428,39124677,39124676,41228233,41228232,43374161,34275303,34275302,43374157,49054775,47649344,37727545,29167524,21858327,21858328,29167527,37727547,47649349,49054773,39124682,30526354,256462995,25706103,255276759,13621158,13621157,19079088,25705865,268754209,52877246,64796831,52877361,42473250,42473249,41228145,269044539,42473073,51425403,258114408,256924288,37977155,37977156,41228155,41228154,34652734,26661160,26661161,34652737,37080011,32403957,32403958,41228255,47894684,37977175,37977174,47894681,47095094,47095093,58472977,64782603,52863185,42459286,33466218,25693657,25693656,33466217,40134444,35381069,27256109,20322709,14584633,10035524,10035525,14584635,20322712,27256113,23116594,23116593,30535291,39134035,44805613,52758913,47151068,46408805,36547235,28079027,28079028,36547238,40048076,268403734,55712691,52757761,42358204,33369262,25604623,18992213,18992214,268496665,27256106,35381066,35381076,35381078,44805626,35381144,35381143,44805699,44805782,35381297,27256253,20322786,20322787,14584691,10035553,6595122,4131714,4131712,6595116,10035542,14584669,20322772,27256225,35381256,35381255,254899710,27256228,35381263,44805824,48345890,59729774,72465268,77864127,257154966,64674026,64674025,72792712,65515671,53492282,53492283,63035070,61737163,61737164,74518834,85180126,84844944,256115510,85180127,268739574,53492285,43014179,33957565,26120421,19426729,19426728,26120419,256157776,53492273,46961939,46961940,58329376,63039946,63039947,63039948,71430043,64064199,52222838,41891470,255763548,18667073,13275344,255246345,25236124,19306101,13804060,13804061,255697215,33783433,42815970,50448681,61940008,74476191,72080493,59346856,256222442,38553020,48465616,47955480,47955481,59152049,257674980,258660602,70501217,70501216,71889673,270285690,269925178,100526165,89458016,75692691,62745082,61471964,49994552,39978319,39978318,49994549,61471959,49994548,39978316,39978315,49994547,49994607,49994608,47955473,47955472,59346723,59585567,59585566,61471746,61471977,49994571,49994572,59909010,59909009,58700878,58700877,58700934,58700933,71216803,61471854,49994419,257064923,31303257,23816473,23816471,28860338,28860337,37401727,47310833,58700858,58701131,58701132,71433266,258049840,59433794,59433795,58386488,58386489,59909114,48515929,46338907,36482850,36482848,46338903,57686051,70378140,83902591,85006879,76982492,63871708,52052646,41910878,32971464,25249209,25249208,32971460,37401445,37401444,47310844,48515957,38601247,30028071,30028067,30028068,38601242,48515952,58700883,47310864,47310865,46338895,46338896,55712660,59909086,72649521,71433328,58700997,47310986,46379216,36519939,28055148,28055147,36519938,46379215,57729468,57729500,70424374,83951133,91711605,83951134,258037026,46379262,46379260,269442944,47355782,47355781,58743209,58700992,47310984,44602688,44602689,47310985,58700995,55731000,55731002,59238033,58743201,58743202,52699879,52699880,269312120,47840952,47355790,47355786,47355785,46379167,36519968,28055162,20885831,20885830,28055159,36519962,46379226,36519947,36519949,46379234,50293216,46335488,46335489,36519971,36519973,35038474,26958520,26958519,30291236,34311897,43413274,53940160,256945515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059691, s2 = 13484937, dlinesl.size( ) = 20 s1 = 10987999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11016143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016143, s2 = 983999, int(edited[s2]) = 0 s1 = 11016143, s2 = 983999, d1 = 59, d2 = 81 Dl.O(d1) = 255379973,28305847 Dl.O(d2) = 43927035,34653692,26662107,19847364,14219266,14219265,9779875,9779876,6431761,4034899,2417972,2417973,4034901,6431765,9782806,14230884,9785836,6433671,6433673,9785846,9781180,6430896,4034477,4034481,6430944,9781275,14228405,19859733,26677270,23548955,23548956,31030060,32324401,28534541,28534540,37032424,34691138,256584537,27248399,24939473,18426603,18426602,24939471,32602293,255868370,63527592,63878312,59076134,47675689,38190841,37738395,254344164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016143, s2 = 983999, dlinesl.size( ) = 12 s1 = 14246018, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11014547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11014547, s2 = 13234044, int(edited[s2]) = 0 s1 = 11014547, s2 = 13234044, d1 = 25, d2 = 19 Dl.O(d1) = 255324847,11477156,11477157,16471918,16471920,16471781,11476616,11476615,11476688,7633351,7633354,11476697,16471887,22667033,30042416,30042699,255487041,16471981,256426773,38616229,30042316,22666931,22666932,30042319,29764519,29764518,38335263,48245642,48531769,38616606,30042739,30042738,30042645,22667720,22667687,268091265,9778251,6429138,6429137,9778248,14223726,19853649,26670098,26670157,34662972,30042736,30042735,30042696,23255412,23255413,30671296,29343850,255442954,22852075,22852077,30246299,30588462,37913072,47834692,59232067,47834664,47834663,47834837,47834891,39416926,39416927,38616921,37913063,30671356,23255472,16992187,16992184,23255464,22012404,22012405,29344006,29007424,21721395,21721394,29007419,23759641,22655391,22655393,30029378,37912698,31244048,29344396,22012454,22012455,29344398,37913435,39268914,37913006,29343948,22012012,15910496,15910495,22012008,29343940,37912993,47834649,47834895,39749711,39749710,267828484,58673174,49193735,49193736,269803217,39749722,31071884,23588342,17276524,12156055,8186453,5255846,5255847,8186456,267739764,16801328,16801329,15910891,15910890,22011640,29343593,31244063,28832855,22012452,22012451,29344393,37913426,32967520,25245531,18675188,18675187,25245530,32967518,32967572,256836566,58560780,58560779,47405632,37498179,37498180,47405636,58216630,255879840,30657760,30657761,37534764,28989944,23149051,16888378,16888379,23149052,30566389,38484025,30746861,25712965,25712964,29924145,22564522,22564523,29924147,38484397,33330926,25571105,25571104,29924144,28422835,255177158,10509881,10509882,15235160,256844415,261628987,258649798,36804903,37755861,32699885,32699886,33396379,33344023,256542202,30029844,30029846,25849530,19194401,13708657,11470677,11470678,16463009,256425833 Dl.O(d2) = 36931756,28433019,21208950,268068123,4357247,6934364,6937785,4382626,2624930,1515119,1515117,2624924,4382618,6934462,4357318,2610474,254494153,270284994,36931849,46810168,48528053,38612128,30037461,30037460,38612090,38612089,35247428,255755623,14522777,9992818,9992820,14522781,20239000,27149268,24055380,24055379,31560216,40246567,48527889,48476879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11014547, s2 = 13234044, dlinesl.size( ) = 20 s1 = 10375146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10375146, s2 = 11180272, int(edited[s2]) = 0 s1 = 10375146, s2 = 11180272, d1 = 8, d2 = 11 Dl.O(d1) = 99518646,85571980,71984893,71906234,71906235,59247711,59247712,71984868,71984866,59247662,47851089,37931254,37931255,47851092,37931261,37931260,29364968,22034527,15933136,11056142,7331139,4631231,4631232,7331141,11056144,15933138,22034529,29364975,256919317,257013564,59247545,47992673,47992675,59382404,59247668,47851098,37931258,37931259,257499571,37931262,37931263,46622241,36734052,36734051,44383694,255527486,25493907,18889249,18889248,25493905,31085132,30612204,30612203,39208382,49135321,47992676,40402356,31710183,24202486,255199525,12627482,17832953,24202488,31710187,40402363,257013566,257013568,61261374,49782598,39763306,31085138,23601141,23601140,31085136,39763303,38080052,29515587,22174005,22174007,29515591,24588920,23450526,17174006 Dl.O(d2) = 8119984,5202076,3173707,1857830,1857829,3173705,5202073,8119981,8119961,5202062,3173699,1857826,1060219,1060218,1857846,3173731,254829619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10375146, s2 = 11180272, dlinesl.size( ) = 2 s1 = 10375146, s2 = 11180272, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10375146, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11080287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080287, s2 = 6929452, int(edited[s2]) = 0 s1 = 11080287, s2 = 6929452, d1 = 25, d2 = 31 Dl.O(d1) = 255526276,38162620,38162621,270321287 Dl.O(d2) = 41339310,257741595,76302955,260225839,260842764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080287, s2 = 6929452, dlinesl.size( ) = 14 s1 = 12649332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12649370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12649370, s2 = 9848612, int(edited[s2]) = 0 s1 = 12649370, s2 = 9848612, d1 = 40, d2 = 43 Dl.O(d1) = 259638272,30002761,22633043,16445643,11458424,11458427,16445648,22633054,30002774,38573442,30002760,22633042,255925737,256966563 Dl.O(d2) = 191745926,199144641,199144638,191745923,183140789,183140790,191745925,199144639,205401497,210578240,264918785,221212566,223717371,225887202,227779725,229440335,230914840,232235801,233428025,234511210,235498165,236398844,237221219,237970401,238651217,239274878,239848338,240377985,240869102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12649370, s2 = 9848612, dlinesl.size( ) = 2 s1 = 12649370, s2 = 9848612, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12649370, Dl.E( ) = 44, 1.69e-05 seconds used appending s1 = 11243941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11243941, s2 = 6618104, int(edited[s2]) = 0 s1 = 11243941, s2 = 6618104, d1 = 101, d2 = 112 Dl.O(d1) = 85125842,71555424,256438680,28989205,21705331,21705330,23306994,25144670,32851621,29493470,29493469,29493482,29084965,21787341,15728760,15728761,16591013,11570638,11570640,16591016,16591189,11570759,7701698,4874342,4874345,7701739,11570836,8004540,7112615,4478321,2690745,2690744,4478310,4478389,7112732,10765013,255043573,10764803,15563453,21589312,23305731,17044760,17044761,23305734,28863597,28863596,37404902,47313866,58703290,255939698 Dl.O(d2) = 162151314,162151313,173250374,173250378,183100509,183100497,173250364,173250363,183100494,173250367,162151309,162151307,271949084,191708317,191708319,183100504,173250370,162151310,162151311,162151314,162151313,173250374,173250378,183100509,183100497,173250364,173250363,183100494,173250367,162151309,162151307,271949084,191708317,191708319,183100504,173250370,162151310,149939714,136803596,122972659,108707045,256594282,66940799,54684458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11243941, s2 = 6618104, dlinesl.size( ) = 22 s1 = 10981839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11289657, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14297173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12650232, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12650232, s2 = 11525646, int(edited[s2]) = 0 s1 = 12650232, s2 = 11525646, d1 = 0, d2 = 39 Dl.O(d1) = 12955141 Dl.O(d2) = 86274670,100239615,114271488,128156068,141514857,154178572,165938031,176584657,186006764,194221115,201257489,207180306,212064660,216054872 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12650232, s2 = 11525646, dlinesl.size( ) = 14 s1 = 12650282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14165897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511535, s2 = 7823655, int(edited[s2]) = 0 s1 = 11511535, s2 = 7823655, d1 = 25, d2 = 3 Dl.O(d1) = 265128758,273304881 Dl.O(d2) = 4047956,2424048,2424045,4050362,6464351,9842415,14327762,20006050,26886152,34964627,44341842,55192174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511535, s2 = 7823655, dlinesl.size( ) = 2 s1 = 11511535, s2 = 7823655, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11511535, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 11214201, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11206769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298741, s2 = 15033826, int(edited[s2]) = 0 s1 = 11298741, s2 = 15033826, d1 = 19, d2 = 84 Dl.O(d1) = 111616670 Dl.O(d2) = 266817651,266984092,239789167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298741, s2 = 15033826, dlinesl.size( ) = 2 s1 = 11298741, s2 = 15033826, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11298741, Dl.E( ) = 86, 2.79e-05 seconds used appending s1 = 15201432, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15201432, s2 = 10813553, int(edited[s2]) = 0 s1 = 15201432, s2 = 10813553, d1 = 7, d2 = 9 Dl.O(d1) = 257417769 Dl.O(d2) = 21139637,21139638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14247158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12650700, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16185092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16185092, s2 = 10347047, int(edited[s2]) = 0 s1 = 16185092, s2 = 10347047, d1 = 23, d2 = 21 Dl.O(d1) = 53265224,42812148,33779516,25969306,25969305,33779514,33779517,33779518,28565857,28565856,28565842,28565841,28565845,37067798,46947171,58313898,71029776,71029778,84594251,98519513,112514575,126385519,139761196,152482299,147943877,134824120,121026129,121026128,121026130,134824123,136129885,268760332,107751783,122162392,257823508,161676435,161676433,149383233,136129888,122162393,107751788,107751789,122162395,136129890,149383234,161676437,172836136,260313442,182737214,191391510,198839196,198839198,192876222,184476237,174864669,164047034,164047033,174864667,261076750,139444887,139444886,152169252,152169256,144417104,139444889,257414586,98271686,84363198,70804598,70804597,84363197,98271683,112251328,126107173,126107187,112251340,98271695,84363201,70804599,58087782,46716087,36833525,34232969,26357848,26357849,29558266,22212957,16081607,12321696,8322788,5370428,5370429,8322790,12321703,268254881,31296212,39970605,49986576,61464036,74242610,62494461,50894611,256569565,24460624,24460625,24460621,18041728,12789115,8694512,5658926,3519173,2093351,1204423,678805,678802,1204415,2093330,3519133,5658869,5002034,5002036,4603545,4603541,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,17309610,16658504,11626036,7744208,7744212,11626018,9781858,9781862,14229272,10259173,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436070,15508880,15508881,11630532,9650984,6345574,6345573,9650978,14036937,19591396,16599923,11577290,11577289,16599919,15466796,10694676,10694674,12633058,8577663,5573431,5573432,8577667,12633068,17839867,13344602,11273766,7483819,4729475,4729476,7483823,11273781,16217392,19650608,22017728,22017727,26385252,22781281,22781282,19510219,19510218,19654538,14087996,9690043,9690044,14088003,17049409,12839265,8731000,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887089,22887087,24211309,19657191,14904069,10247440,6732912,4218268,4218269,6732916,10247448,14904086,17747402,17747403,24106182,26630577,254291144,17347070,12220144,8250289,8250290,12220147,17347075,23664416,19657824,254631756,29520278,22177778,16052060,11145709,11145710,16052063,22177780,23179789,23179790,23180438,23388245,17116444,12028271,12028134,8086395,8086397,8086678,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,7912059,8527083,11838766,7911947,5029772,5029773,4448607,4448611,7065557,10694863,15467074,12204755,8236591,8236590,12204750,17329791,18661066,22163821,16041823,11138775,7388214,5308880,5308881,7212951,10906010,15746776,15790849,10940233,7239081,7239080,10940230,15790841,14088930,9690570,9690571,14088933,17115939,14378631,11998527,11998526,17086072,21480997,15477785,15477786,21481001,28738676,29520386,22177939,16052242,11145841,7911518,7911519,11145791,7392753,7392752,11145785,11111449,10775690,7119786,6079909,6079912,9281585,13557187,18997239,25610037,33374857,42363686,52763220,62494452,75413299,89161214,103251694,117381818,131185857,134804872,121008259,106755453,106755452,106755455,106755454,121008261,134804841,121008223,260549208,259329906,92450484,106755436,92450491,78414686 Dl.O(d2) = 33666443,25860147,25860146,33666440,42697324,257469530,256858155,256318748,10624458,254731412,2643158,4408613,7012204,10624463,15375253,21351306,28580794,37085310,257173769,42041098,52385120,64241121,67658815,55319335,44473557,35097020,27010581,20118621,14427956,14427958,11340752,11340753,16299155,22467118,20117778,20117777,268993230,35249977,35249978,28202477,27010055,20118251,20118252,27010057,29604577,29429485,29429484,256923273,55319332,67658812,61573588,50093766,50093768,51358957,51358946,41173021,41173022,51358944,256689116,256507320,37831094,47753589,59152132,58670710,47279440,37369842,28829720,21558737,21558736,28829717,37369835,41301293,41301292,37187402,37187403,37831111,37187425,37187424,37187428,28857354,21584320,15559877,10762516,7111072,7111071,10762513,15559869,21584312,21943489,29265210,37830974,31502629,24004048,17658953,12487558,8458009,5465048,3360597,1975752,1975751,3360595,5465044,8458001,12487546,17658932,24004011,31502588,40187685,31502650,24004064,255188303,8458016,8458017,12487566,17658967,24004069,31502656,40187776,40187860,31502715,31502714,40187859,50209722,40187759,31502638,31502605,31502606,31502590,24004012,24004013,31502593,40187691,31503038,255577513,17659232,24004404,31503037,40188245,31503207,31503206,40187653,40187654,50209607,50209615,40187662,40187663,50209617,50209730,61691497,61692013,50210278,50209726,50209727,50210174,40188346,257081741,40188328,31503113,24004457,17659261,12487765,8458144,5465137,5465139,8458148,8458156,8458154,5465141,5465142,8458155,12487782,12487776,268382876,21238933,20274272,14546623,14546622,20274270,17659265,12487770,255188325,24004463,31503119,40188337,50210264,61692005,72261115,59527364,48140285,48140282,38230124,38230122,268635993,22318640,17785480,12588028,10757111,7107002,4884776,4884777,7107057,4474490,4474491,7107059,6424625,6424626,9771378,14213830,11241040,7461158,7461157,11241038,16173593,12612499,8560960,8560959,12612496,12036679,8092107,5184405,5184404,7458356,4712866,2839186,1646999,936480,527727,295654,295651,527713,936455,1646954,2839118,1851470,1851469,1851462,1851461,3162825,5184182,6750531,7455619,8092313,8525092,7461302,7456773,4711708,4711707,254343723,905127,510490,510492,905131,1592093,1647283,936610,936609,527793,527796,936638,969672,936371,936372,1646784,2838793,3286235,4712309,4712307,4713121,7458738,11237918,10757861,7107574,7107571,4710470,2837680,1646147,936051,527508,527510,527475,295537,163461,163462,295544,295503,295502,527410,935874,1645860,2837160,254414873,1153786,1153790,2016840,2017074,2017242,1154026,647405,647404,1154023,2017237,2943363,1706866,970222,970223,1706869,2943369,4884746,7717707,7717989,7717988,5538399,5538036,5538035,8492503,5505684,5505683,7460238,6017399,6014581,3761948,2253674,1307956,746698,746699,1307959,746733,746729,647160,359091,359092,647168,1153564,2016516,254414783,3415895,254418687,5551824,5551823,8554675,11816565,11816564,13439283,9188614,9188615,13439284,18862381,25462656,33210501,257200323,47719578,50335897,40309944,40309945,256540463,24074930,24074929,31580502,37798854,31621546,24116144,24116143,21918435,21918437,25462663,25462662,29236092,31704232,24196594,17827317,12622651,8568809,8568810,12622652,17827320,256041463,25462669,25462670,256366741,21918423,15834515,15834516,21918417,255871933,37798829,31703380,31703364,24195779,24195778,31703361,40395508,44823145,50303371,52645795,42260087,42260086,52645794,64545000,77727130,65128694,53143920,53143921,65128696,65128842,65128841,77481701,72004933,72004932,85119027,71548011,58819675,47433121,37525491,37525490,47433120,58819673,59481066,52760078,42360417,42360416,52760076,62685895,51055333,51055332,52449669,52449668,42096762,42096761,52449679,52449677,256590952,37954460,29389234,22058552,22058553,29389235,36461411,28002563,20837742,14938545,10274180,6752053,6752054,9535923,6255735,3916139,3916140,3916145,3916146,6255743,9535928,6255741,6255740,9535927,13896487,19422923,26116197,19422927,19422926,255020009,10496020,15215965,21175554,28395366,22160069,16038942,16038943,268221875,11136716,7386878,7386877,255076789,22160063,29498765,38061477,47973560,47973557,47973556,59363992,72097189,85683716,99632892,113646518,127518136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16185092, s2 = 10347047, dlinesl.size( ) = 8 s1 = 12650836, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12496025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11074613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074613, s2 = 3411787, int(edited[s2]) = 0 s1 = 11074613, s2 = 3411787, d1 = 70, d2 = 16 Dl.O(d1) = 269135231,122023436,135950981,259359532,140170760,140170759,259359530,161461300,261155096,182564446,191245285 Dl.O(d2) = 112967373,126821063,259359534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074613, s2 = 3411787, dlinesl.size( ) = 90 s1 = 11388611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388611, s2 = 3174294, int(edited[s2]) = 0 s1 = 11388611, s2 = 3174294, d1 = 30, d2 = 43 Dl.O(d1) = 262908276 Dl.O(d2) = 99930378 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388611, s2 = 3174294, dlinesl.size( ) = 20 s1 = 11477689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12692946, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11277171, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11256101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11232421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11232421, s2 = 11660667, int(edited[s2]) = 0 s1 = 11232421, s2 = 11660667, d1 = 75, d2 = 82 Dl.O(d1) = 269089808,121140977 Dl.O(d2) = 23549109,31030220,39707230,49725828,52008644,41696958,32780572 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11232421, s2 = 11660667, dlinesl.size( ) = 46 s1 = 11012425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012425, s2 = 11472880, int(edited[s2]) = 0 s1 = 11012425, s2 = 11472880, d1 = 22, d2 = 20 Dl.O(d1) = 13551732,18991049,257212581,64671579,77861713,91784385 Dl.O(d2) = 263527431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012425, s2 = 11472880, dlinesl.size( ) = 14 s1 = 14297658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12652070, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11138759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11138759, s2 = 11877149, int(edited[s2]) = 0 s1 = 11138759, s2 = 11877149, d1 = 36, d2 = 34 Dl.O(d1) = 46306664,36453781,27995306,20831061,20831060,255400308,15592606,21623110,28898387,23553686,23553685,23651503,20841400,255372740,20948580,16555950,11539773,11539774,14939370,14939369,14978930,14611816,14611817,20355840,255361260,16431611,11446723,7612580,4816231,254241739,1681194,956232,956230,1681245,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,5965847,5965845,9117817,13344416,11563489,7696172,4870677,4870678,267833427,1710144,1710143,254366065,7729814,11609979,16642033,13345401,13345400,16642030,16642029,16431680,11446782,11446781,16431678,22595734,16412541,16412542,22595735,29960366,36906110,36906111,268451141,17915563,17915564,273193016,26701549,272237664,123027066,136858078,262073509,173292894,183137909,185383778,175891966,165182205,165182204,175891965,185383777,263019033,162199410,262566595,183137916,191742962,199141802,264416319,205398806,199141811,191742970,183137914,262566593 Dl.O(d2) = 140696586,260572050,99461414,109605681,257590224,112306698,257009494,95207846,81150791,67684990,67684991,67684992,270137879,95207850,258821470,258716140,78685701,256902508,42910722,33865127,26043091,19364222,255058940,33865123,42910718,256902504,256902506,36985841,46864339,58232266,70949490,84513090,98434535,84513097,269838740,84513061,70949471,70949472,84513064,95207870,81150811,259028147,64336455,269078691,42116345,52468848,64336456,77500730,91431789,105658220,269800146,91431794,91431738,269989371,52468824,42116333,42116334,52468811,42116325,42116326,52468812,259655415,106783369,92476462,91431720,77500679,77500680,258097092,77500671,64336401,52468807,52468806,64336398,77500669,91431710,105658153,99367955,85426608,85426609,91313455,77394450,77394451,91313457,91431750,77500700,270515255,133768300,126282301,112419543,257913476,70946151,70946150,74014209,258015962,39735797,39088067,30491411,23077928,16825899,16825900,23077938,30491425,39088088,49017744,60421557,72163910,61760088,50280484,40259570,33509285,33509287,42508220,49936247,49936246,49337910,39408473,30803675,30803674,39408464,49337887,60741075,73490171,258074572,258074570,73490157,60741065,49337880,39408458,30803668,30803666,39408453,49337870,60741047,60741123,64416558,52542092,42183228,42183227,52542084,64416550,60493046,258198651,259446071,101107193,101107192,93387965,79261283,65899192,53832119,43307241,34208833,34208834,43307243,53832123,65899198,77385266,258193002,105521240,100762059,100762060,259552832,123653458,128931970,259738124,100973151,259599098,101107233,258816172,79262739,79262742,93388016,79262687,65900399,65900400,65899344,53832248,52379438,52379436,64234914,73168513,86781174,73168586,60421899,60421901,53833229,53833228,65899250,73168543,60421862,60421861,257319968,65900527,53833265,43308095,34209479,34209481,43308097,53833273,65900537,79262844,74971660,62160099,62160098,74971656,63072768,51383790,256054800,40601254,31892520,31892519,40601251,50651098,62160096,74971652,88613582,79261305,79261304,77164412,77164411,91047507,100761884,89864375,89864374,93389222,91047513,77142705,77142706,89864252,89864253,103984150,103984108,103984107,102619997,88613758,74971858,62160286,62160285,53833245,53833244,65900484,79262782,77142710,255601292,74971666,74971667,76068760,88613601,74971677,63072738,63072739,63954802,77069443,75690387,62743074,51111844,51111842,59948755,48556720,38641885,30066969,30066971,38641888,48556724,52133537,41817665,32894528,25184869,18624697,18624698,25184871,25184863,18624692,13240382,9030099,9030101,13240387,18624700,25184878,32894535,25185113,25185112,32894738,41817822,52133658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11138759, s2 = 11877149, dlinesl.size( ) = 34 s1 = 11431551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11237573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11237573, s2 = 11294086, int(edited[s2]) = 0 s1 = 11237573, s2 = 11294086, d1 = 4, d2 = 11 Dl.O(d1) = 258517974,27294518,27294516,20531201,14728180,10127926,6650701,6650697,10058120,6664073,6664071,6611576,4182682,2501001 Dl.O(d2) = 20771686,27919307,36356276,46178304,57486740,70150703,69162289,56941065,56941067,68845413,68771628,270188619,81362461,258489706,68484185,269154310,68856688,68856685,56348894,56348893,68856681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11237573, s2 = 11294086, dlinesl.size( ) = 12 s1 = 12498055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14920291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11249691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249691, s2 = 11443974, int(edited[s2]) = 0 s1 = 11249691, s2 = 11443974, d1 = 22, d2 = 21 Dl.O(d1) = 259386578,128271284 Dl.O(d2) = 202022930,207836737,264862222,157367459 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249691, s2 = 11443974, dlinesl.size( ) = 40 s1 = 11029911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029911, s2 = 10406758, int(edited[s2]) = 0 s1 = 11029911, s2 = 10406758, d1 = 51, d2 = 55 Dl.O(d1) = 19778100,14525905,267948715,6568696,9994824,14525908,20243452,27154842 Dl.O(d2) = 259795035,81215422,67748944,55408446,55408447,67748946,81215423,79379724,256752874,257513080,93516196,107953239,260589328,136363334,149629144,161926528,272856644,182962107,191595189,199015336,205289947,210483065,214726144,218217885,221150834,223661756,225837439,227734719,265718534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029911, s2 = 10406758, dlinesl.size( ) = 14 s1 = 14297741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11537583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537583, s2 = 11243776, int(edited[s2]) = 0 s1 = 11537583, s2 = 11243776, d1 = 13, d2 = 12 Dl.O(d1) = 274341752 Dl.O(d2) = 272460997,260547374,44446977,44446978,55291217,44446979,257309361,67629008 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537583, s2 = 11243776, dlinesl.size( ) = 20 s1 = 11244873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244873, s2 = 14312561, int(edited[s2]) = 0 s1 = 11244873, s2 = 14312561, d1 = 7, d2 = 4 Dl.O(d1) = 99359474,271791781,127219567,113361181,99359472,99359473,271791781,140565223,127219566,261141353,113373518,260563955,99359477,85416508,71828652 Dl.O(d2) = 255061319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244873, s2 = 14312561, dlinesl.size( ) = 2 s1 = 11244873, s2 = 14312561, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11244873, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14312562, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15268343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372229, s2 = 11249406, int(edited[s2]) = 0 s1 = 11372229, s2 = 11249406, d1 = 1, d2 = 6 Dl.O(d1) = 162431461 Dl.O(d2) = 259289119,256849807 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372229, s2 = 11249406, dlinesl.size( ) = 12 s1 = 11215807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215807, s2 = 193601, int(edited[s2]) = 0 s1 = 11215807, s2 = 193601, d1 = 28, d2 = 36 Dl.O(d1) = 72559678 Dl.O(d2) = 4579270,7261036,10969802,15829486,21339577,15365467,10616386,7005862,4403777,4403776,7005857,255031041,10971402,7262090,4579898,2755454,2755456,4579904,7262098,10971423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215807, s2 = 193601, dlinesl.size( ) = 20 s1 = 11280983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280983, s2 = 14609935, int(edited[s2]) = 0 s1 = 11280983, s2 = 14609935, d1 = 1, d2 = 12 Dl.O(d1) = 114514095 Dl.O(d2) = 273886278,142955466,142955465,142955466,260106604,259491185,74109163,61326436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280983, s2 = 14609935, dlinesl.size( ) = 14 s1 = 11410937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11373971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11494247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494247, s2 = 11261524, int(edited[s2]) = 0 s1 = 11494247, s2 = 11261524, d1 = 14, d2 = 8 Dl.O(d1) = 273443442 Dl.O(d2) = 260264066 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494247, s2 = 11261524, dlinesl.size( ) = 18 s1 = 11262499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262499, s2 = 11262498, int(edited[s2]) = 0 s1 = 11262499, s2 = 11262498, d1 = 13, d2 = 9 Dl.O(d1) = 91664758 Dl.O(d2) = 77736920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262499, s2 = 11262498, dlinesl.size( ) = 14 s1 = 11388841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388841, s2 = 11263060, int(edited[s2]) = 0 s1 = 11388841, s2 = 11263060, d1 = 9, d2 = 1 Dl.O(d1) = 158674945 Dl.O(d2) = 119249791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388841, s2 = 11263060, dlinesl.size( ) = 14 s1 = 11446363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12500213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11419461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11363499, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11374751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14297936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11267671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12653678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14068649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11353007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11221015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11221015, s2 = 11251288, int(edited[s2]) = 0 s1 = 11221015, s2 = 11251288, d1 = 11, d2 = 34 Dl.O(d1) = 74019166,269389437,31063067,255546187,12147002,8176797,5246408,5246407,8176795,12146994,17267597,14095433,14095432,19664165,26398131,29719887,22604099,16421123,14198149,9760123,6417245,6417243,9760116,12384010,17554515,23899523,19820502,19820503,22364044,16423852,11439893,11439892,14095713,19664509,25281000,25280999,26316269,22613951,16429477,11444647,11444649,16429482,17267930,17267931,254794440,17844664,12636618,8579798,8579801,12636627,17844131,16566262,15159262,15159263,16566162,12633475,12633472,17121224,12031811,12031810,11416029,11416027,16399578,22582057,28314450,255501818,22369752,29726325,38293236 Dl.O(d2) = 261350872,132986471,260059336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11221015, s2 = 11251288, dlinesl.size( ) = 32 s1 = 11000287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000287, s2 = 4004564, int(edited[s2]) = 0 s1 = 11000287, s2 = 4004564, d1 = 22, d2 = 15 Dl.O(d1) = 9098667,10415444,6865809,4309027,2576582,1483965,839286,254096821,147251,80951,80952,147255,265944,473196,839301,254641823,3710026,3710025,5933467,9057449,10280108,10280107,10311461,6782403,6782404,7273801,9063984,9079668,7576308,7576309,9080258,9080255,6775418,5949133,3720366,3720364,5949128,9093574,13312808,255076736,257183089 Dl.O(d2) = 146800641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000287, s2 = 4004564, dlinesl.size( ) = 26 s1 = 6869869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6869869, s2 = 13247673, int(edited[s2]) = 0 s1 = 6869869, s2 = 13247673, d1 = 10, d2 = 15 Dl.O(d1) = 259456726 Dl.O(d2) = 48392528,48392529,59775621,61773912,52462218,255285482,33155183,37240436,39811040,37240435,28709651,23641587,17324859,17324858,23641584,31128996,24903090,24903089,25414126,25414128,24593013,18147061,18147062,24593015,32179622,37787975,37787976,32277452,28030253,20862862,20862861,21454810,21454947,15456119,10686688,10686687,15456116,21454944,21454951,21454952,28709847,28709753,21454828,21454829,28709757,37240530,254900676,25414101,25414099,33155159,42109658,52462203,42109681,33155189,25414122,18822727,18822728,25414124,33155191,42109661,37240571,28709831,255632618,21454818,21454820,21454819,15456123,10686691,7059736,4444670,254225895,878911,878910,1546415,2670018,4444666,4578126,7259160,4578108,4578109,7259162,254754657,4578141,2754863,1596978,907861,907862,1596705,907698,511861,511862,907700,1596710,2754420,2754366,2754367,4578097,7259147,10967046,10968369,10968368,10967417,7259413,254344597,2754486,4578270,7259411,7259608,4578395,2754551,2754550,4578392,7259603,10967131,10967132,15825840,21906697,15825741,15825742,15827667,15828304,10968900,7260399,7260400,10968903,10967810,7259673,7259672,8781473,254291440,4520281,254745609,15677620,21722096,29008336,37554239,29008749,21722382,21722381,21722353,15677767,10853782,7175829,7175828,10853780,15677762,21722344,15678000,255422803,29008742,28333717,28333718,256837227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6869869, s2 = 13247673, dlinesl.size( ) = 14 s1 = 14135269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11181729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11181729, s2 = 9435361, int(edited[s2]) = 0 s1 = 11181729, s2 = 9435361, d1 = 44, d2 = 63 Dl.O(d1) = 258765041 Dl.O(d2) = 48730149,40453483,31758896,31758895,40453481,37499192,37499191,29136272,29136273,37332187,37332188,38074210,38074211,46706308,46706309,42465994,33472732,25699782,21640933,15609194,11017067,11017066,15891968,21988475,26160851,26160852,33993167,37887826,29319335,21990637,15893432,15893433,21990641,21990696,15893465,15893462,21011495,15090862,15090865,21011508,23618054,31102655,33092966,25826904,19175222,13693104,13693103,19175219,17105359,17105361,23374678,30802238,33432329,25663044,21615719,21615717,19462866,254449850,254449848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11181729, s2 = 9435361, dlinesl.size( ) = 14 s1 = 12654562, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15284219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15284219, s2 = 9378537, int(edited[s2]) = 0 s1 = 15284219, s2 = 9378537, d1 = 2, d2 = 1 Dl.O(d1) = 154829427,166533729,154829428,154829429,166533731,165099780,153286331,140606540,127260879,113402749,99401946,85461186,85461185,99401944,109862937,95659567,270273038,68136454,55738575,55738574,68136452,68136456,256812444,35405478,35405479,44830891,55738577,258001394,42305974,33325409,25564408,18953144,13516481,9248944,6057346,6057347,8372183,8372182,6956756,6067384,4369665,2617966,1511519,1511520,2617972,4369685,6954528,4377097,4377096,6967221,10563372,15298889,21261912,23426696,18955360,17161001,17161002,23436113,30858795,23427631,23427630,25578848,23904766,17560797,12389999,8372843,8372844,12390000,255568733,31397746,40078817,50099570,40078818,40078819,50099573,61579533,74356332,258264915,61579532,74356330,87958598,101931460,260722681,118291551,104136869,90011347,76207557,63198250,63198251,76207547,257737607,41277626,32439638,24805796,18317793,13002364,8851922,5769058,5769059,8851924,13002369,9440290,6188321,3872780,2319168,1344475,1344478,1344212,1344213,1344236 Dl.O(d2) = 2318579,2341507,2341419,2341421,3910637,6246766,9523857,13881656,19404759,26094064,33927298,42980812,42980810,42980809,48165047,48165048,59062819,47662704,37740816,37740817,41277623,51490170,63198240,76207543,72285719,72285718,77405942,77405943,91324386,260598743,126164175,113337584,259342885,71803458,59062821,59062822,71803460,258717091,59062830,59062829,60813990,49413786,49413787,60813980,71803466,71803465,60813972,49413774,257615565,59370743,60813974,60813973,55265715,55265714,60813978,60813979,73560349,73560350,259470115,105940193,258826692,77805219,87178071,73560313,60813965,60813966,73560342,60813995,49413792,49413791,256841826,30878381,30878380,39483962,39484003,49413788,48292409,38381738,38381737,255986989,23447849,30878405,30878403,255969576,17172092,12074022,8119105,5201395,3173173,3173174,5201398,8119111,12074011,8119096,8119095,12074009,17172073,23447819,21076592,21076593,17172081,17172082,23447830,30878387,268976603,49413766,49413741,39483938,30878352,23447805,23447806,30878354,39483937,39483936,49413740,258223103,57804295,46448434,36582784,28110447,28110448,36582787,46448438,50416836,40382449,31688786,24180133,17811776,17811773,17811774,24180127,31688776,38381758,38381757,40382444,50416839,46448452,36582795,36582794,46448450,50416862,61907270,57804289,57804290,60814000,73560361,71603343,71603342,85168337,74833982,62037381,50545474,50545475,62037384,71328027,71328028,73353323,86915810,75824948,75824949,71328032,70792039,70792040,70792041,70792042,84350839,73353306,60608283,60608284,59679377,256952927,38381761,48292424,47204281,256332255,28763899,37297117,47204279,57723522,70418497,60608354,49207871,39281522,39281521,49207869,47204260,37759798,37759797,47681973,57723539,60608286,50650783,40600878,31892148,24364260,24364259,31892147,40600875,47204277,58594915,53161064,53161065,65145442,57654722,57654723,60595916,60595917,73340608,85411262,71822903,62038127,50546308,46373341,36514430,28050176,20881663,20881661,28050170,29198289,29198288,30684530,39281482,47681976,39281493,30684537,23267552,23267551,30684535,39281490,49207827,256709414,47681974,47681975,50827083,62409124,60608298,49207821,39281484,30684531,23267550,17003545,17003544,23267548,30684528,255629229,13019732,8864665,8795535,8795534,12929328,18228462,24697974,32311466,256511634,21230696,15260886,15260888,21230699,28456874,25071250,25071251,20287889,20287888,24666516,32273024,24666530,24666529,32273048,38282379,29715629,22671022,22671020,22754139,22754138,30139929,38719495,38730968,32677106,32677107,25569802,25569803,31398748,28456868,28456869,36957247,46835478,58201535,70914063,84469862,88393739,74759827,257682355,40426177,32106277,24529989,18097853,12831711,12831712,18097840,18097841,24529965,24530101,21217931,15249210,15249208,21217929,28443900,28443915,32106291,24530003,18097859,18097858,24529999,32106207,37145997,36943371,28443761,28443760,24530033,24530035,32106326,32106340,28632088,28632086,36943358,28443750,28443749,28443934,28443936,32106305,32106391,24530086,24530087,32106134,32106133,28632121,23555323,17246437,17246436,23555321,31037305,39714776,32106275,32106274,32106281,24529992,21433671,21433672,28443911,21217939,15249216,10520026,6937769,6937770,10520030,15249222,15249199,15249198,21217912,24529996,24529928,18097804,15249164,10520004,10520005,15249166,12831724,12831725,18097878,21217905,21217907,28443878,23555316,23555232,23555231,31037182,28443773,21217854,21217859,21217867,28443798,36943414,46821309,49733506,49733507,49733572,46821413,36943493,28443854,28443855,23555265,17246410,12128512,12128511,17246407,23555260,31037220,39714701,44591400,256229597,27118940,35210952,44591399,39717307,31039939,31039938,39717304,39717288,31039926,31039925,39714819,31037341,28443823,21217882,15249184,15249186,21217889,26252032,19534288,19534287,26252026,34116607,43203717,51028649,41605095,32702134,32702133,40281265,31597043,31597044,40281269,41605085,41605084,47035130,47035129,58407541,71125347,63868701,52049564,52049563,63868698,71108915,58392153,47020970,47020969,39714794,32814400,32814401,41735006,257424695,46821310,58187560,58187600,46821363,36943450,32814392,25111336,25111337,28743360,21485323,21485322,28743358,37275917,33466278,25693706,25693705,33466276,35210914,44591356,55441220,63711247,51904759,50301489,50301490,61780720,72588868,63868694,52049558,52049559,46821359,46821331,36943436,28443811,28443810,36943432,38656626,38656627,41923592,41605064,32702111,25111335,18561489,13189717,8991353,8991354,13189724,18561498,21485320,28743354,29670081,38235467,39714723,39714608,39714597,31037138,31037139,39714598,49733407,58774555,58774556,49733603,48462165,38549747,38549745,48462161,59852772,72590332,59852669,59852670,72590334,59852723,48462114,38549705,38549704,48462112,59852716,48462326,48462327,59852960,63868670,52261833,48462372,38549902,29980793,22613771,22613772,29980796,256964236,38550000,41923512,38549711,29980678,29980679,38549628,29980645,29980646,29980829,29980830,38549963,48462452,59853055,72588941,72588944,59853036,48462432,38549947,29980821,22613784,22613783,29980815,38549929,48462104,48462105,59852709,72590352,59852693,48462380,38549910,32115278,32115277,40888973,51026333,62652417,64232949,64232951,52377552,42034100,42034102,52377553,55621968,55621973,44722996,44722997,55621976,55622420,44723476,44723475,55622417,55622401,44723456,44723457,44723102,35303495,35303493,38174051,38174050,40888936,32115254,24537998,24537999,32115259,35303509,44723115,55622076,55622089,55622087,68009971,258548817,55622251,55622250,68009888,68009887,55622325,44723376,35303757,27184481,27184480,27184558,20261681,20261682,27184560,27184227,20261427,14537304,10002145,10002144,14537297,20261417,20261580,27184426,35303288,35303286,44722870,44722848,35303271,35303270,44722846,55621860,44722849,35303272,27184501,255339779,10002220,6573071,6573070,10002217,14537429,20261632,27184390,27184265,20261457,20261456,27184263,20261609,14537418,14537419,20261615,27184465,35303655,35303656,35303378,35303377,35303814,27184536,20261657,14537445,14537446,20261659,27184540,35303819,44723250,35303651,27184403,27184402,27184201,27184138,20261381,20261380,27184132,20261587,14537406,10002205,10002206,14537409,20261594,27184446,35303712,44722921,256234147,20261402,14537288,14537289,20261403,27184193,35303348,44722923,44723409,44723408,49378569,49378570,49378559,49378558,52400105,42056124,33107019,33107020,42056127,52400111,64255562,68010267,55622334,44723384,44723386,55622337,68010269,59476370,48086324,38174053,268402203,22256878,29607183,38174057,48086332,59476381,61323853,49840595,39817021,39817020,48086353,38174074,29607192,29607193,38174078,39450461,30846235,30846234,39450457,49378585,52400193,52400194,59476389,48086342,38174067,29607187,22256881,16117672,16117677,22256888,29607205,30643486,30643487,39240551,49166649,60566009,68010257,71100511,84663650,73527704,258043946,51200479,51200481,62849934,59476415,59476416,72213960,84663652,85808169,72214059,72214060,81494182,72214048,59476505,48086422,48086421,59476514,72214056,72213964,59476418,258126471,51200487,51200488,59476548,48086440,38174134,29607223,25394261,18806977,18806976,25394259,33131784,42083097,52430939,258398649,91370402,99762192,85808234,85808139,72214001,59476453,59476451,60420760,259440403,113776479,119989336,105755356,105755355,99762229,99762230,113776476,119187853,259630027,90815330,99762239,105593594,99762141,99762140,99762225,113776423,99762179,99762177,103289072,103289073,91370391,77446680,64291511,64291510,77446677,91370384,103289079,89194720,75443349,75443348,259569667,85808197,85808196,99762216,109739157,109739156,123884517,109739192,109739193,109739186,104992903,104992894,104992895,119187855,119832575,133709329,123884541,123884540,119832558,109739358,105593588,105593590,119832578,127471226,137571810,137571806,143647983,130324020,130324021,271856418,102394277,88393777,74759863,61959736,50463815,40426208,31732219,24223884,17852309,17852310,24223889,24223965,24223871,17852298,17852297,24223870,31732204,40426178,257682357,61959705,258914533,88393745,102394242,116488488,261321553,156178191,167774877,178221957,187441296,195464325,202326344,202326343,208094893,274123819,215732248,211682934,264746947,206728252,263882707,175825051,165099785,153286335,153286336,165099786,175825052,185330586,193623614,200730954,193623611,185330583,175825046,165099782,153286332,140606541,127260881,113402750,99401948,85461192,85461193,85461189,71876583,59138478,47739854,37817506,29252279,21931371,15844134,10979859,10979860,15844132,21931368,255873153,256080071,18252730,12949705,12949706,12959094,8818931,5745520,5745522,4507101,4507106,4132112,4132111,3777589,3777590,6038289,8804963,8823664,5749058,5749059,8823665,12964410,18268085,24741139,32357399,41173085,51359017,42443504,33450355,25679078,19056783,13604457,9315724,6102461,3818254,2295341,1331780,1331781,2295343,3831194,6123429,9348817,13652542,19121764,25760840,257224781,53006513,64981197,78254344,92281139,106579046,105910367,91703346,77775953,64593278,257209107,42305972,52692795,64593280,270526391,77775948,77775956,91703347,105910368,105910365,91703345,91703344,85455638,71870705,59132494,47733846,47733845,59132492,59220193,47822031,37900173,33410977,25644025,19026733,13580915,13580916,13818890,9476990,6213958,6213960,9299058,9299108,13580927,19026751,13580964,13580962,19026797,25643886,25643885,19026904,13581038,9299175,6091662,3811454,2283163,2283164,254657089,13581066,19026729,25644019,19098963,13635837,9337226,6115975,3826625,2292550,2292552,3826631,6115987,9337236,8891415,5800167,3617434,3617435,3826619,267862975,9307256,6096731,6096732,9307258,13592667,13649573,19044479,13635832,9337224,9337225,13635835,19098960,256149019,268158962,25738220,268305142,33504877,25731270,19098957,19098958,25731271,33510311,42509753,52919599,53064287,42616444,33592412,25796414,25796415,33592414,42616442,53064284,65047382,78327361,73362579,73362578,86974192,73362580,60617753,49217027,39290434,30693144,23278225,268425257,39290432,49217025,60617749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15284219, s2 = 9378537, dlinesl.size( ) = 2 s1 = 15284219, s2 = 9378537, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15284219, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 11295565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10990783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990783, s2 = 15313101, int(edited[s2]) = 0 s1 = 10990783, s2 = 15313101, d1 = 43, d2 = 46 Dl.O(d1) = 3251717,2418411,1399928,1399925,2418361,2418362,4035573,6432940,5206255,3176308,3176309,5206257,3465855,3465854,5586430,8597484,12661849,256046033,39864357,39864356 Dl.O(d2) = 266681739,238992617,266866129,240639279,241109747,241546308,267055167,240639282,240131722,239584433,239584432,266866129,240639279,241109747,241546308,241546310,241109748,240639281,240131722,240131723,240639283,241109750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990783, s2 = 15313101, dlinesl.size( ) = 14 s1 = 11142561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11312313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312313, s2 = 11305378, int(edited[s2]) = 0 s1 = 11312313, s2 = 11305378, d1 = 4, d2 = 9 Dl.O(d1) = 256955680 Dl.O(d2) = 175120137,164321257,152447629,139721879,139721878,127411798,113541442,259359305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312313, s2 = 11305378, dlinesl.size( ) = 14 s1 = 14250106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11124883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12655590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10520952, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14298396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14298396, s2 = 5228258, int(edited[s2]) = 0 s1 = 14298396, s2 = 5228258, d1 = 114, d2 = 74 Dl.O(d1) = 186650926,194769888,201717030,207564333,212386908,265023819,219603718,222368094,224741525,226802564,228600554,266016139,231585654,266246523,233982966,235020090,266527611 Dl.O(d2) = 217085386,213293178,208660780 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14298396, s2 = 5228258, dlinesl.size( ) = 36 s1 = 8417690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15869503, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16343533, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14298462, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11034337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034337, s2 = 11319950, int(edited[s2]) = 0 s1 = 11034337, s2 = 11319950, d1 = 13, d2 = 8 Dl.O(d1) = 15486223,10708942,7074853,7074854,10708951,15486203,10708934,10708935,15486205,21492087,28751690,28751658,21492066,21492065,24464917,32026931,40783469,50250956,254814000,31544900,40231180,254813998,46442772,46442771,57797934,52674852,42288603,33308545,255756056,13498883,13498882,14526006,258544175 Dl.O(d2) = 261446772 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034337, s2 = 11319950, dlinesl.size( ) = 14 s1 = 11100605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11464417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464417, s2 = 11322632, int(edited[s2]) = 0 s1 = 11464417, s2 = 11322632, d1 = 15, d2 = 12 Dl.O(d1) = 264448785 Dl.O(d2) = 261513602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464417, s2 = 11322632, dlinesl.size( ) = 20 s1 = 8480511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8480511, s2 = 11276176, int(edited[s2]) = 0 s1 = 8480511, s2 = 11276176, d1 = 1, d2 = 34 Dl.O(d1) = 79276095 Dl.O(d2) = 260568564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8480511, s2 = 11276176, dlinesl.size( ) = 36 s1 = 12656440, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14298500, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14298500, s2 = 8656755, int(edited[s2]) = 0 s1 = 14298500, s2 = 8656755, d1 = 36, d2 = 55 Dl.O(d1) = 274275818 Dl.O(d2) = 156810529,168278478,178613536,263660115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14298500, s2 = 8656755, dlinesl.size( ) = 48 s1 = 12656542, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12314649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12314649, s2 = 6859406, int(edited[s2]) = 0 s1 = 12314649, s2 = 6859406, d1 = 6, d2 = 14 Dl.O(d1) = 194952235 Dl.O(d2) = 259353612 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12314649, s2 = 6859406, dlinesl.size( ) = 14 s1 = 11467693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467693, s2 = 14694240, int(edited[s2]) = 0 s1 = 11467693, s2 = 14694240, d1 = 94, d2 = 121 Dl.O(d1) = 263867716 Dl.O(d2) = 176047295,165357224,153568081,261163042,99653872,258742934,48000617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467693, s2 = 14694240, dlinesl.size( ) = 48 s1 = 14298534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14298534, s2 = 9124583, int(edited[s2]) = 0 s1 = 14298534, s2 = 9124583, d1 = 95, d2 = 113 Dl.O(d1) = 261175560 Dl.O(d2) = 21945515,29267739,37833883,31597107,31597108,26581453,255683762,43839463,54584364,64854070,58702690,58702693,48388651,46280282,37822037,29257058,29257056,268029498,47757310,255278426,31702582,31702581,40394814,42518002,38111161,38111160,254148870,38017337,37820040,254148866,21936347,21936348,29257062,37822040,255278424,59142738,48726589,48726590,59771586,255278438,52928591,42518004,42518005,254207364,38485674,29925235,22565434,22565435,29925238,38095706,38095705,255683758,29268658,21946355,268303174,37834783,47757311,48021139,38111164,29547992,22204390,16074561,11162322,11162323,11162328,11162307,7404063,7404064,11162312,15848699,21936350,21945657,21945658,29267882,37834022,30222499,30222498,38805922,48726591,60121515,59321380,47929089,38014898,29452740,29452741,29925232,22565429,16385333,11403959,11403958,16385330,22565425,18960554,13524620,13524619,18960550,25570250,33330169,29268662,29268663,37834792,33518062,25738579,25738578,29257053,21936344,21936342,29257050,22204368,16074540,16074541,22204133,16074548,16074547,22204373,29547976,37838095,38110966,33806876,25990997,19320180,13815115,13815114,19320176,25990994,29547723,30720533,39318854,46626276,47758449,37836005,37486966,28944901,28944899,31621143,31621141,25544791,18931891,18931890,25544788,33306678,42286819,52673055,64573216,59226909,50426527,40392959,31700533,254101324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14298534, s2 = 9124583, dlinesl.size( ) = 24 s1 = 14758894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14758894, s2 = 562021, int(edited[s2]) = 0 s1 = 14758894, s2 = 562021, d1 = 32, d2 = 27 Dl.O(d1) = 207057242,263617906,219286332,222089096,224496825,226588907,228056979,226200003,224067172,221607983,264716794,211248655,206225351,200150620,192956677,184570506,184570505,174966910,164148418,152262627,139531037,126155739,112295567,98312852,259280458,112295571,98312854,98312853,112295569,260501872,261632836,174966913,184570508,263482108,206225353,211248656,215353018,218744629,221607985,265357302,265971905,229764251,265699543,265365825,218850934,218850935 Dl.O(d2) = 9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4085793,4085792,6520902,6569342,6518537,6518536,9918540,13368655,13368656,9917124,6517477,4083689,2443334,2443335,4083691,6517481,9917133,7008364,4405628,2640932,1525656,865212,865211,1525654,2640928,4405620,7008355,5969055,5969057,6148242,6148240,9123354,5969926,5969927,9123356,255030433,254730423,3734325,2235809,1296605,740018,420611,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398203,4398204,4444062,4444061,7058948,10685622,15454748,21453317,25164679,18606746,13224581,9016104,5886496,5886495,9016102,8820103,8820104,8821060,8821059,8814634,5886501,5886502,9016109,10036408,10036406,13224578,13224577,18606743,260847585,134130493,120299594,259680555,77979890,64785983,52867091,257801102,25696793,33469923,42463310,44915549,35466263,35466264,44915552,257938467,81817866,95878193,110090843,124211117,137845431,137339949,123606923,109413090,109413091,110090832,260426587,110090827,110090828,110090838,110090830,95878181,260426585,137845415,150785603,162838662,150785616,137845429,260850610,109413087,109413088,109413083,95157632,95157631,81099726,81099725,95157636,260399261,137339946,137339935,137339936,137845410,137845411,137845424,124211107,124211108,137845426,137339944,137339942,137339968,123606937,109413098,109413097,123606935,137339960,272091749,95157629,259786273,123606912,131171297,144401380,150302868,150302867,162438523,150302873,150302872,150382087,162513820,261528500,154446630,141799800,271618382,137262439,123531617,109340063,95085693,81027053,259152017,109340067,123531621,272459263,162438529,261955528,137339958,123606931,260990967,137339932,141799808,270600310,100532477,100532476,259114212,141799806,151482047,151482048,141693523,128344174,114467294,100442906,86485795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14758894, s2 = 562021, dlinesl.size( ) = 14 s1 = 11251981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6907237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6907237, s2 = 13698294, int(edited[s2]) = 0 s1 = 6907237, s2 = 13698294, d1 = 4, d2 = 11 Dl.O(d1) = 259962120,171845119,165043962,153225560 Dl.O(d2) = 255432748,71806641,85394617,99337976,113340108,127198123,140543928,258717652,175775636,260562434,185287389,185287390,261139850,261139852,165043969,259343422,260562436,185287384,261139848,185287386,175775639,258717654,140543932,258093918,165043963,175775638,185287384,261139848,185287386,175775639,258717654,153225562,165043966,153225566,140543936,140543935,259343420,175775646,165043972,153225567,140543938,127198127,271324173,47666116,37744207,29183359,254514620,36723984,46611665,57987897,70705170,84256679,256361998,112109775,125943327,258093802,270829646,184304450,192723231,199962913,206080332,211136551,215271488,218681444,221555328,224021259,226159198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6907237, s2 = 13698294, dlinesl.size( ) = 12 s1 = 11050657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14298580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14298580, s2 = 11270516, int(edited[s2]) = 0 s1 = 14298580, s2 = 11270516, d1 = 89, d2 = 93 Dl.O(d1) = 35336298,31627562,257076131,31435606,257076133,258223628,50129473,40454372,31760047,24248189,22817624,16598450,16598449,22817621,19070486,13614646,13614648,19070490,22817652,16598468,11576278,11576279,16598474,22817662,20983839,20983837,17803346,15071552,10394674,6851630,4299719,2570673,1479989,836527,836530,1480002,2570691,4299754,5417225,5417226,8394561,12420091,17594572,17594573,23938288,31429491,23938309,23938311,23817071,17482104,17482103,23773566,19833789,19833790,26647358,22712057,22712058,28277124,21073156,21073154,28277130,31430792,23939625,17595566,12419880,12419881,13416833,13416831,18831229,16400986,16400983,22583527,16598275,14429589,14429587,254766880,22171965,256386593 Dl.O(d2) = 174270732,163421102,272819308,259249269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14298580, s2 = 11270516, dlinesl.size( ) = 76 s1 = 14277835, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11236951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12657082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12657082, s2 = 11107780, int(edited[s2]) = 0 s1 = 12657082, s2 = 11107780, d1 = 32, d2 = 5 Dl.O(d1) = 262303470 Dl.O(d2) = 44770425 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12657082, s2 = 11107780, dlinesl.size( ) = 24 s1 = 11068321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068321, s2 = 7951051, int(edited[s2]) = 0 s1 = 11068321, s2 = 7951051, d1 = 87, d2 = 0 Dl.O(d1) = 32152406,40929809,257715219 Dl.O(d2) = 18692298,18692296,13299139,254642507 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068321, s2 = 7951051, dlinesl.size( ) = 14 s1 = 11290811, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11081999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11081999, s2 = 2990088, int(edited[s2]) = 0 s1 = 11081999, s2 = 2990088, d1 = 18, d2 = 32 Dl.O(d1) = 262184347 Dl.O(d2) = 261928464,131149732,131149733,118412431,118412432,104253014,90119033,268269280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11081999, s2 = 2990088, dlinesl.size( ) = 28 s1 = 15284558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15284558, s2 = 7765145, int(edited[s2]) = 0 s1 = 15284558, s2 = 7765145, d1 = 8, d2 = 68 Dl.O(d1) = 138867715 Dl.O(d2) = 274613146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15284558, s2 = 7765145, dlinesl.size( ) = 16 s1 = 11071969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11255095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255095, s2 = 7214084, int(edited[s2]) = 0 s1 = 11255095, s2 = 7214084, d1 = 19, d2 = 15 Dl.O(d1) = 271861719 Dl.O(d2) = 264104936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255095, s2 = 7214084, dlinesl.size( ) = 18 s1 = 11391041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11391041, s2 = 8569511, int(edited[s2]) = 0 s1 = 11391041, s2 = 8569511, d1 = 37, d2 = 46 Dl.O(d1) = 261467471 Dl.O(d2) = 151990017,139283100,262143401,272874844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11391041, s2 = 8569511, dlinesl.size( ) = 42 s1 = 11093235, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15295916, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12657728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15312249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15312249, s2 = 107722, int(edited[s2]) = 0 s1 = 15312249, s2 = 107722, d1 = 60, d2 = 87 Dl.O(d1) = 267165577,274887352,240636578,240129063,239581661 Dl.O(d2) = 18619545,13235901,9026339,254111674,18619544,25179181,32888466,254637942,63947997,77062333,90945685,105129637,119326164,119398326,105190337,90995800,77103524,63981750,52155423,41835754,32909669,32909668,41835751,52155421,63981748,77103521,90995797,105190334,119398324,133242498,146477780,158846632,258989472,189289427,197019606,197003969,189269881,180332713,180332712,189269879,180461219,170321753,158982666,146617450,146617449,158982664,170321747,170321696,260200444,258332196,91072480,77162464,64026513,64026514,77162468,257720068,119511523,133371601,146617368,155522489,142971885,129643474,115746076,115746073,129643467,142971877,155522478,167156922,155522402,142971807,129643416,129643415,128514744,128514745,119511614,105285323,105285324,119511618,126947270,129643658,129643659,119511635,105285338,91072557,91072555,105285334,258957700,146617481,158982687,170321770,177658083,177658084,186941327,186941420,177658262,271936712,142972138,142972137,142971828,129643440,115746047,101700524,87726601,87726600,257737776,105173601,101700443,87726532,74120847,74120848,77062285,77062286,90945626,87726565 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11170981, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12508109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14115674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14115674, s2 = 14111551, int(edited[s2]) = 0 s1 = 14115674, s2 = 14111551, d1 = 3, d2 = 16 Dl.O(d1) = 48090400 Dl.O(d2) = 126175198,112314413,98331280,84421854,70864495,58150408,46782892,36905168,256403216,21186553,15224396,15224397,21186554,28407801,32329426,41144297,43278661,34182179,34182178,43278657,257185660,27253123,20320146,20320145,268556337,44802474,40041521,31361393,31361394,24049209,24049210,31553105,40239131,40488185 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14115674, s2 = 14111551, dlinesl.size( ) = 2 s1 = 14115674, s2 = 14111551, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14115674, Dl.E( ) = 18, 1.1e-05 seconds used appending s1 = 11130583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11130583, s2 = 14201349, int(edited[s2]) = 0 s1 = 11130583, s2 = 14201349, d1 = 26, d2 = 22 Dl.O(d1) = 42096133,42096134,39885094 Dl.O(d2) = 113767593,113767591,113767592,127636164,132829828,119001978,104812552,90642505,76776818,63682707 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11130583, s2 = 14201349, dlinesl.size( ) = 16 s1 = 11383062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11678506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294733, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11499449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499449, s2 = 11364170, int(edited[s2]) = 0 s1 = 11499449, s2 = 11364170, d1 = 81, d2 = 53 Dl.O(d1) = 217799883,220830116,265441210 Dl.O(d2) = 263989964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16342273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16342273, s2 = 14297054, int(edited[s2]) = 0 s1 = 16342273, s2 = 14297054, d1 = 1, d2 = 1 Dl.O(d1) = 63808967,257425378,255022892,18674424,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,3737491,3737494,5976400,9066687,9066686,13282941,13283653,13283654,12847541,8736677,5687811,254625681,12847532,17489044,18120316,18120315,24558540,32140441,40917734,255970290,41447268,41447269,51696944,51056638,51056639,51067320,40926661,40926660,39992237,39992236,49130176,39879061,39879064,49900521,48334063,38429124,29867572,22507715,17173108,17173109,23449273,30880244,31510897,24010779,24010781,269306412,58348184,258671855,71064447,58348176,46978864,37095522,28589070,267882482,2644945,4411081,7015374,10628514,13075093,8909776,8909775,13075092,18407889,18407890,24913604,32565950,38014288,37186758,37112191,256174376,15389451,15389450,21369462,21369461,21369471,15389444,10635459,7020769,4415206,2648014,2648015,4415207,5725448,3564683,2124390,2124391,3564684,5725450,8790076,12921521,255224489,12921519,18217733,24684242,32295211,37122055,47008755,58379739,257666989,40218253,31532409,31532410,40218255,50238387,44756397,35328572,27203496,20275945,14547881,10010001,6578978,6578977,4417548,4417549,7023878,10639539,10639536,10639537,15394698,21376137,28611463,37122067,37122066,37122068,47008774,58379758,60261527,48868613,38948952,38948953,48868615,60261528,60261529,72997123,86594830,88110684,92273388,102097613,102097614,88110682,74498932,74498931,88110680,74498937,61717515,61717514,61717516,50238505,40218376,31532521,24030392,17679826,254274352,8469672,8469376,5474500,5474499,8469371,11682303,12502958,8469545,8469546,12502967,17679687,17679344,17679345,12506327,12506325,17682742,24033912,27199118,20272433,20272434,27199123,21314858,254603824,37036238,31532412,31532411,40218257,50238389,50238388,258275731,74498828,74498829,88110563,102097497,102097623,102097624,102097626,88110691,88110690,88110692,74498945,74498944,74498943,74498954,88110701,102097637,258898558,271398792,259552606,116713730,130548112,143392972,143392971,260733814,261306204,178012978,167544876,155933069,155933070,167544878,178012982,178012984,167544885,155933076,143392970,130063026,258276048,88110695,88110694,102097631,116154873,130063013,116154866,116154867,130063015,141020572,141020573,153686669,155933057,167544866,165024636,153205864,153205865,153205863,145865300,132648119,132648117,145865299,158233115,169608752,158233113,158233112,158233118,158233119,169608756,169608759,179805068,187258397,187258400,187258401,195308076,273120930,193807505,185548144,176085170,165404333,153624498,140958255,127608985,127608984,127608987,127608986,259371908,165404330,165404331,176085166,185548140,193807504,200890684,206868891,211808371,215843227,219180169,221730386,218875544,218875545,218875547,215494175,211401777,206394759,200340896,193174094,184823671,175260094,164483295,262164616,126561633,260514590,98701794,84773233,71204041,58481972,47103607,256853846,24529921,21965210,15871034,15439711,15439712,21433724,21433629,15439659,15439658,21433624,28683161,37146183,37206972,32106262,24529979,18097849,18097848,21393143,255610801,12831672,12831673,18097781,24529902,21433684,15439688,10674125,10674123,15439687,21433683,28683208,37146034,46821439,36943535,28443905,28443904,36943533,32106211,24529928,18097804,15249164,10520004,10520005,15249166,12831724,12831725,18097878,21217905,21217907,28443878,23555316,23555232,23555231,28443941,28443940,36943575,39714651,31037174,23555224,23555223,23555269,23555270,31037230,39714706,31037299,31037300,37146058,37146060,40878901,40878899,40878910,46821515,36943618,28443975,21217989,15249250,10520042,6937775,4359706,2612283,2612282,4359700,6937766,10520021,15249204,21217920,28443889,23555282,21217839,15249158,15249157,21217836,24530039,32106331,36943506,28443868,28443869,23555236,17246392,12128505,12128506,17246398,23555242,23555228,23555227,31037177,31037238,23555276,17246414,17246415,23555280,31037244,28443956,21217975,21217974,28443952,36943516,36943517,46821420,39714746,31037275,31037271,28443971,21217985,15249247,15249246,15249191,10520016,6937760,6937758,10520007,15249172,21217861,28443787,36943395,46821297,257923620,39717288,31039926,31039925,39714819,31037341,28443823,21217882,15249184,15249186,21217889,28443835,36943468,46821390,49733447,61211922,59852730,48462119,48462118,38549767,38549766,48462164,38549746,38549745,48462161,59852772,72590332,59852669,59852670,72590334,59852723,59852722,59852958,63868667,52049521,41734945,32814344,32814346,38549728,38549729,29980734,29980735,38549810,41923520,32983233,25259887,18688341,18688342,25259892,32983242,41923535,52261844,48462058,38549668,38549669,41734892,32814317,32814316,41734890,50411426,48462136,48462135,59852753,59852841,48462219,38549782,29980719,22613740,16429323,16429322,22613734,29980706,38549764,48462188,59852804,72590341,72590420,59852947,59852949,48462326,48462327,59852960,63868670,52261833,48462372,38549902,29980793,22613771,22613772,29980796,256964236,38550000,41923512,38549711,29980678,29980679,38549628,29980645,29980646,29980829,29980830,38549963,48462452,59853055,59851287,52261829,52261830,59852719,62652399,64110589,59852828,48462207,38549774,38549738,29980694,29980693,38549736,48462153,48462085,38549687,38549688,48462088,59852684,59852664,48462337,38549871,29980777,29980778,29980688,29980687,29980808,22613779,16429342,11444562,7610749,7610750,11444569,16429356,22613810,29980874,38549997,38549948,29980821,22613784,22613783,29980815,38549929,48462104,48462105,59852709,72590352,59852693,48462380,38549910,32115278,32115277,40888975,51026337,59852761,59852854,59852853,48462506,48462490,48462491,59853018,48462406,48462407,59853019,68010307,55622382,55622381,68010305,68010187,68010188,68010198,68010318,55622410,48462437,48462439,59853043,49984005,49984006,59851269,59851267,62652433,51026359,40888996,32115287,24538014,18104638,12837344,12837343,18104635,24538006,32115272,32115267,32115268,40888958,257678220,40888932,32115247,32115246,40888927,51026272,44723441,35303804,35303801,35303800,44723432,55622387,52377557,42034103,42034102,52377553,55621968,55621973,44722996,44722997,55621976,55622420,44723476,44723475,55622417,55622401,44723456,44723457,44723102,35303495,35303493,38174051,38174050,40888936,32115254,24537998,24537999,32115259,35303509,44723115,55622076,55622089,44723129,35303515,35303514,44723126,257711865,40888940,40888941,35303418,27184243,20261443,20261442,27184238,27184287,20261477,20261478,23807922,31293480,39967751,46753156,55622095,44723460,35303824,27184546,20261671,14537453,14537452,20261668,14537457,10002234,10002203,10002170,6573046,6573045,10002168,14537348,20261512,27184325,35303533,44723142,44723104,44723105,55622073,44723448,44723447,55621903,44722949,35303368,27184307,27184306,35303388,44722979,44723489,35303847,35303848,35303435,27184256,20261454,14537313,14537312,20261448,27184248,35303323,35303324,44722834,35303330,35303329,44722909,35303521,27184317,27184318,27184173,20261467,20261468,14537466,14537462,20261688,27184566,35303856,44723496,55622241,55622178,44723215,35303591,27184365,20261537,20261538,27184367,35303596,44723227,55622194,59476589,55621895,44723343,44723342,53894190,43370348,43370347,35303739,35303740,44723330,35303706,35303705,44723328,55622285,68010106,55622149,55622148,55622227,44723254,44723253,44723346,39450434,30846220,23416085,23416083,30846217,35303743,44723368,44723371,55622322,60089170,52400107,42056124,33107019,33107020,42056127,52400111,64255562,68010267,68010264,73527695,60779742,60779741,62849947,68010253,55622327,48086389,38174099,38174100,48086381,59476460,59828295,59476483,48086403,48086402,59476481,72214020,68010292,55622363,55622362,47012557,37125484,37125485,39450424,49378549,50541306,50541307,59476405,48086354,38174074,29607192,29607193,38174078,39450461,30846235,30846234,39450457,49378585,52400193,52400194,59476389,48086342,38174067,29607187,22256881,22256882,29607189,38174071,48086348,38174107,255898223,22256892,29607212,38174092,41044422,32251401,32251402,41044425,48086409,55622331,55622330,68010263,59476426,59476427,51200494,41044417,41044412,51200488,59476548,48086440,38174134,29607223,25394261,18806977,18806976,25394259,33131784,42083097,52430939,258398649,91370402,99762192,85808234,85808139,72214001,59476453,59476452,72213998,72214026,72214027,75594855,62652424,62652423,75594853,77446670,77446668,84663653,89595865,75813543,62849940,62849939,59476555,59476557,64291527,64291528,77446701,85808092,72214036,59476494,59476493,72214034,59476502,48086415,257516961,59476588,48086460,48086459,59476586,72214119,85808098,85808097,89595847,89595848,77446697,259025739,270321539,59476492,59476491,59476435,59476434,72213977,85808113,85808146,85808179,72214108,59476578,48086454,48086455,52430933,42083092,33131780,33131779,42083090,52430928,64291506,76939430,76939431,89355967,95529882,81494218,81494217,85808161,95529614,95529615,109739168,109739178,113776479,119989336,105755356,105755354,104992882,90815323,90815322,260269915,133709332,143648003,130324035,116488536,102394287,88393783,88393782,102394284,102394279,88393778,88393779,102394281,116488527,130324021,271856418,102394277,88393777,88393776,102394262,88393767,74759858,61959734,50463814,50463813,61959732,74759853,73141068,70933303,58215991,46848006,40426375,31732356 Dl.O(d2) = 63808967,257425378,255022892,18674424,18674427,13362794,9132406,5976326,5976325,3737477,3737480,5976363,9132475,13362922,12847687,8736750,8736749,5976389,3737491,3737494,5976400,9066687,9066686,13282941,13283653,13283654,12847541,8736677,5687811,254625681,12847532,17489044,18120316,18120315,24558540,32140441,40917734,255970290,41447268,41447269,51696944,51056638,51056639,51067320,40926661,40926660,39992237,39992236,49130176,39879061,39879064,49900521,48334063,38429124,29867572,22507715,17173108,17173109,23449273,30880244,31510897,24010779,24010781,269306412,58348184,258671855,71064447,58348176,46978864,37095522,28589070,267882482,2644945,4411081,7015374,10628514,13075093,8909776,8909775,13075092,18407889,18407890,24913604,32565950,38014288,37186758,37112191,256174376,15389451,15389450,21369462,21369461,21369471,15389444,10635459,7020769,4415206,2648014,2648015,4415207,5725448,3564683,2124390,2124391,3564684,5725450,8790076,12921521,255224489,12921519,18217733,24684242,32295211,37122055,47008755,58379739,257666989,40218253,31532409,31532410,40218255,50238387,44756397,35328572,27203496,20275945,14547881,10010001,6578978,6578977,4417548,4417549,7023878,10639539,10639536,10639537,15394698,21376137,28611463,37122067,37122066,37122068,47008774,58379758,60261527,48868613,38948952,38948953,48868615,60261528,60261529,72997123,86594830,88110684,92273388,102097613,102097614,88110682,74498932,74498931,88110680,74498937,61717515,61717514,61717516,50238505,40218376,31532521,24030392,17679826,254274352,8469672,8469376,5474500,5474499,8469371,11682303,12502958,8469545,8469546,12502967,17679687,17679344,17679345,12506327,12506325,17682742,24033912,27199118,20272433,20272434,27199123,21314858,254603824,37036238,31532412,31532411,40218257,50238389,50238388,258275731,74498828,74498829,88110563,102097497,102097623,102097624,102097626,88110691,88110690,88110692,74498945,74498944,74498943,74498954,88110701,102097637,258898558,271398792,259552606,116713730,130548112,143392972,143392971,260733814,261306204,178012978,167544876,155933069,155933070,167544878,178012982,178012984,167544885,155933076,143392970,130063026,258276048,88110695,88110694,102097631,116154873,130063013,116154866,116154867,130063015,141020572,141020573,153686669,155933057,167544866,165024636,153205864,153205865,153205863,145865300,132648119,132648117,145865299,158233115,169608752,158233113,158233112,158233118,158233119,169608756,169608759,179805068,187258397,187258400,187258401,195308076,273120930,193807505,185548144,176085170,165404333,153624498,140958255,127608985,127608984,127608987,127608986,259371908,165404330,165404331,176085166,185548140,193807504,200890684,206868891,211808371,215843227,219180169,221730386,218875544,218875545,218875547,215494175,211401777,206394759,200340896,193174094,184823671,175260094,164483295,262164616,126561633,260514590,98701794,84773233,71204041,58481972,47103607,256853846,24529921,21965210,15871034,15439711,15439712,21433724,21433629,15439659,15439658,21433624,28683161,37146183,37206972,32106262,24529979,18097849,18097848,21393143,255610801,12831672,12831673,18097781,24529902,21433684,15439688,10674125,10674123,15439687,21433683,28683208,37146034,46821439,36943535,28443905,28443904,36943533,32106211,24529928,18097804,15249164,10520004,10520005,15249166,12831724,12831725,18097878,21217905,21217907,28443878,23555316,23555232,23555231,28443941,28443940,36943575,39714651,31037174,23555224,23555223,23555269,23555270,31037230,39714706,31037299,31037300,37146058,37146060,40878901,40878899,40878910,46821515,36943618,28443975,21217989,15249250,10520042,6937775,4359706,2612283,2612282,4359700,6937766,10520021,15249204,21217920,28443889,23555282,21217839,15249158,15249157,21217836,24530039,32106331,36943506,28443868,28443869,23555236,17246392,12128505,12128506,17246398,23555242,23555228,23555227,31037177,31037238,23555276,17246414,17246415,23555280,31037244,28443956,21217975,21217974,28443952,36943516,36943517,46821420,39714746,31037275,31037271,28443971,21217985,15249247,15249246,15249191,10520016,6937760,6937758,10520007,15249172,21217861,28443787,36943395,46821297,257923620,39717288,31039926,31039925,39714819,31037341,28443823,21217882,15249184,15249186,21217889,28443835,36943468,46821390,49733447,61211922,59852730,48462119,48462118,38549767,38549766,48462164,38549746,38549745,48462161,59852772,72590332,59852669,59852670,72590334,59852723,59852722,59852958,63868667,52049521,41734945,32814344,32814346,38549728,38549729,29980734,29980735,38549810,41923520,32983233,25259887,18688341,18688342,25259892,32983242,41923535,52261844,48462058,38549668,38549669,41734892,32814317,32814316,41734890,50411426,48462136,48462135,59852753,59852841,48462219,38549782,29980719,22613740,16429323,16429322,22613734,29980706,38549764,48462188,59852804,72590341,72590420,59852947,59852949,48462326,48462327,59852960,63868670,52261833,48462372,38549902,29980793,22613771,22613772,29980796,256964236,38550000,41923512,38549711,29980678,29980679,38549628,29980645,29980646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Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16342273, s2 = 14297054, dlinesl.size( ) = 2 s1 = 16342273, s2 = 14297054, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16342273, Dl.E( ) = 2, 5.01e-06 seconds used appending s1 = 11144169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11144169, s2 = 11050524, int(edited[s2]) = 0 s1 = 11144169, s2 = 11050524, d1 = 4, d2 = 19 Dl.O(d1) = 58739098 Dl.O(d2) = 162744741,150648850,271980846,152853427,261422394,173746451,162744740,150648850,259766102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11144169, s2 = 11050524, dlinesl.size( ) = 14 s1 = 12658672, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11132785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132785, s2 = 11474968, int(edited[s2]) = 0 s1 = 11132785, s2 = 11474968, d1 = 0, d2 = 30 Dl.O(d1) = 53123619 Dl.O(d2) = 262957609,160151292,160151291,171371091,181393161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132785, s2 = 11474968, dlinesl.size( ) = 14 s1 = 14313266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303455, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11371321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371321, s2 = 11048146, int(edited[s2]) = 0 s1 = 11371321, s2 = 11048146, d1 = 30, d2 = 5 Dl.O(d1) = 107884112,122300194,136276879,261195052,136276877,149542478,161847328,161847334,173012420,182910036,191553829,186037868,186037869,176619509,258634174,176619506,165975840,154218943,141557568,141557569,154218945,163587375,258634172,154218946,256281746,114318361,100288045,86325896,72728314,72728315,83862990,83862989,97721681,111642406,111642412,97721685,83862993,70337776,70337775,73506218,60757107,268198738,39424302,30819431,30819432,257029799,53710646,53710647,43198979,34112707,26248697,26248698,34112709,43198983,34112712,34112713,43198990,53710660,65767436,79123059,93239380,107642750,122017802,135640495,139329891,139329892,139329885,125977975,125977976,139329886,259999296,98178404,84282331,70730165,58014612,46640502,255905220,28259334,256832625,58014609,48227199,48227200,59613224,72346864,85940340,98713760,84786048,84786047,98713758,99895342,113913881,99895346,85940325,72346847,59613213,59613211,72346844,85940322,99895341,90860883,76982831,76982830,72586179,72586178,86183873,100146851,114177281,128064171,119708125,105468708,105468709,119708126,133582700,146840257,159213243,170551143,177716951,167219137,167219139,177716954,186996897,177716947,177716946,170594667,159259469,146888687,143364931,143364930,146888693,143364924,130032630,116122906,116122905,116122911,271383422,112961884,98972612,98972611,112961882,115807578,101761354,258872859,64244890,64244891,64244888,64244886,77395672,74184220,74184219,87788441,258250471,61404302,74150120,61369823,61369822,74150118,74576568,74576567,74576566,258904135,270402221,50399839,40364554,40364546,40364545,40291491,31608347,24105855,256035563,40291492,50312321,50312327,40291488,31608343,24105852,24105851,31608341,40291486,50312325,60602782,53270927,42818454,42818453,53270926,256602888,36544552,28076581,28076582,268283526,28076580,28076579,268283524,256602890,83979776,257743240,111767514,271001872,260824086,139580678,260506819,98363415,98363414,98363422,84454033,70897698,58184476,58184475,70897693,84454025,72707853,59970790,48579051,38662968,30085715,22703904,16500153,16500152,22703902,30085713,38662964,48579042,59970778,58050882,255539970,36790115,43202877,44799630,39765614,39765611,49785200,61264298,258862781,101614448,115655359,115655343,101614437,101614438,115655345,260799738,129541587,272596921,142860453,129541602,129541601,119249851,119249852,115655351,115655350,116524051,257510900,74793519,61997135,50505581,40469969,40469968,50505579,61997131,74793515,88425663,76999585,74449621,61665726,61665725 Dl.O(d2) = 61665725,50505583,40469972,40469971,33301970,25539803,25539801,33301968,42282999,52669820,43888176,34616029,26626394,26151603,26151601,255678236,60342745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371321, s2 = 11048146, dlinesl.size( ) = 16 s1 = 11325567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325567, s2 = 4823461, int(edited[s2]) = 0 s1 = 11325567, s2 = 4823461, d1 = 14, d2 = 60 Dl.O(d1) = 137828181 Dl.O(d2) = 266004312,229247378,230751556,230751555,229247377,227545670,225600228,223363424,220776275,217737797,214097018,209662541,204257418,197778176,190173828,181366209,171338937,160113809,147860834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325567, s2 = 4823461, dlinesl.size( ) = 36 s1 = 15074421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15074421, s2 = 13343566, int(edited[s2]) = 0 s1 = 15074421, s2 = 13343566, d1 = 15, d2 = 5 Dl.O(d1) = 173265033,173265035,173265055,263017271,191718758,199119262,191718747,183112090,183112089,191718743,183112094,183112088,173265041,162170581,149963758,136831164,136831163,149963757,149963755,262071711,263017271,191718758,199119262,191718747,183112090,183112089,191718743,183112082,183112083,173265053,162170577,162170578,173265054,183112100,183112085,173265037,162170562,162170561,173265035,173265055,263017271,191718758,199119262,191718747,183112090,262564869,149963746,136831156,123001914,260975383,149963744,162170564,173265040,263791623,183112099,263424715,262564873,149963754,149963753,162170578,263017269,173265040,183112086,173265053,173265052,162170579,149963754,149963753,162170578,173265054,183112100,183112085,173265037,162170562,149963743,149963744,162170563,173265038,173265037,173265036,162170569,149963747,136831156,123001914,259766771,94442317,108734447,123001916,136831159,149963750,162170573,173265048,183112097,191718755,199119272,205378786,210559324,214792216,218275429 Dl.O(d2) = 36602284,28128484,20950565,15041775,10369038,6831366,4285918,4285917,254713503,255370011,20863548,25280332,25280331,255379494,23624538,20876219,14974159,10306367,6778004,6777552,6777550,4286500,2562714,1475766,834462,834463,1475769,2562719,4286506,6832279,10306375,14974169,255787547,256812091,46366111,57715507,70409692,83935876,97794968,111717680,125525001,138858076,125633382,111819004,97886637,84017772,70483800,57783515,46428485,36564160,28093869,20919439,255255823,13363263,18766440,25347793,33078264,40184414,37003871,37003872,40183372,35215537,35215538,42022559,40183947,40183948,33078218,25347761,25347760,33078216,33078230,25347769,18766427,13363252,9132677,9132679,9132616,5976434,5976432,9132611,13363151,18766265,25347526,33077875,37118756,28608794,21374010,21374009,28608792,37118754,44598507,35217703,35217701,30179922,22790859,22790860,30179924,23866726,23866727,31360827,37861148,29291971,29291970,30022073,22649184,19690063,14117721,14117722,19690066,26427574,34305271,43169369,34085934,26224860,26224859,34085931,43169366,53679599,65735616,79091220,93206268,258261632,135898871,128253786,271297048,86395422,72799199,60060396,48663490,38741813,33229782,25481056,18878815,18878816,19454865,26153903,33995534,43054376,53534203,65558993,257770444,64574190,52674067,257798271,59770659,52693401,42306480,33325821,33325820,42306476,38484863,38484864,43917785,43917786,54660115,66916670,58172440,58172441,54660163,47145233,37239910,28709119,28709120,37239914,47145240,58533574,65933072,66916583,66916708,58172449,46804981,36926745,28428147,28428148,36926752,29924634,22564929,16384954,16384955,22564933,29924641,38484993,38484915,38484916,46804946,42012876,38484896,256959281,59770639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15074421, s2 = 13343566, dlinesl.size( ) = 2 s1 = 15074421, s2 = 13343566, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15074421, Dl.E( ) = 16, 8.11e-06 seconds used appending s1 = 12509777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11248243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248243, s2 = 11432374, int(edited[s2]) = 0 s1 = 11248243, s2 = 11432374, d1 = 32, d2 = 11 Dl.O(d1) = 100051239,271809205,165759563,273356975 Dl.O(d2) = 155794951 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248243, s2 = 11432374, dlinesl.size( ) = 28 s1 = 15269383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12659300, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15218165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299094, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11280767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280767, s2 = 11383852, int(edited[s2]) = 0 s1 = 11280767, s2 = 11383852, d1 = 9, d2 = 0 Dl.O(d1) = 261217395 Dl.O(d2) = 127380944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280767, s2 = 11383852, dlinesl.size( ) = 14 s1 = 14299134, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14299134, s2 = 6973870, int(edited[s2]) = 0 s1 = 14299134, s2 = 6973870, d1 = 14, d2 = 15 Dl.O(d1) = 223671435,265504181,227742473,229406304,227742475,265457488,218231196,264603350 Dl.O(d2) = 260814368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14299134, s2 = 6973870, dlinesl.size( ) = 20 s1 = 11373475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373475, s2 = 13016723, int(edited[s2]) = 0 s1 = 11373475, s2 = 13016723, d1 = 19, d2 = 44 Dl.O(d1) = 162775189,162775187,162775188 Dl.O(d2) = 113879759,117222317,113879761,113879753,99860375,85904398,72310635,59575849,59575850,72310637,85904399,99860380,89035679,75307589,75307588,258134663,48189485,256403099,22357953,22357956,29713546,38280126,48189493,59575863,52408944,52408945,64264262,58164615,46797258,36919432,36919431,46797255,58164612,59362686,72095926,70878621,58164670,58164668,48189581,38280194,29713594,22357982,16205823,11265512,7478585,4726424,4726422,7478583,11265508,268225521,29713568,38280160,46797251,36919428,255816135,15234239,15234240,21198762,28421420,36919461,46797307,58164664,65327816,65327815,58695345,257242043,33827629,33827630,37395415,256879473,48189614,48189615,59576019,59575977,59575979,72310743,72310689,59575910,48189529,38280147,38280148,48189531,59575916,72310697,85001181,85001180,98926003,112913643,105029738,90850202,90850201,105029736,112328362,98345379,84435839,70878558,70878556,84435837,98345376,112328358,112913640,112109215,105550890,105550892,98150042,98150041,85904538,85904539,99860437,99860436,98345403,84435873,84435874,86409860,100365914,114389143,105029710,90850172,90850173,86409819,86409820,100365885,114389122,127755717,113879821,99860499,85904528,72310759,59575984,59575983,72310751,85904515,99860483,99860450,85904455,85904454,99860448,100365903,90850338,90850342,105029817,100365907,86409855,72814851,72814850,63860453,52040957,52040958,63860458,76972119,90850761,105030166,114389128,114389127,119222723,119222724,112913606,105029800,90850315,90850314,105029798,119222729,112567837,98574161,84651087,72814830,60077501,48681195,38759509,38759510,48681199,60077510,72814840,86409837,85001129,71428057,71428056,259321115,76971591,63859842,52040282,52040281,47304859,47304860,58695293,71428044,71428038,71428037,76971629,76971630,86409816,72814819,72814818,86409814,90850322,105029809,119222735,119222742,268289434,84682977,84682978,98607855,106890469,92570878,92570877,90850309,76971600,63859846,52040286,52040287,63859850,60077504,60077507,72814835,86409833,100365892,100365890,90850337,76971625,268735362,41725188,32805039,32805040,41725192,37395401,28854756,28854755,37395396,47304857,58695284,58695285,71428035,85001111,98925958,112913617,122289829,114389118,114389119,105029806,90850319,90850318,99525659,85579120,71992574,71992575,85579127,98925938,98925939,112913602,106890463,106890464,105029790,90850305,85001156,76971595,76971596,76971401,63859653,58695337,47304887,47304888,58695340,71428109,85001173,98925994,105029812,90850330,76971621,63859858,63859857,76971616,71118590,58400928,58400929,71118595,84682989,98607864,85001108,85001109,85001104,85001103,98925949,112913614,107875351,93447049,90850260,90850261,105029773,256104472,71992583,59256138,59256137,71992578,85579130,99525664,113536685,105029780,90850273,90850272,105029777,256104470,76971689,85001161,256618946,47304879,47304882,58695327,71428099,85001132,85001133,85001144,71428076,58695311,47304874,37395407,37395406,255243170,71428067,85001140,98427120,98427121,112415711,119222739,112913609,112913608,112913615,107875348,102073013,88086522,88086523,102073017,90850269,76971544,255243178,41725119,41725120,52040223,63859792,257173410,73359733,84682972,76971563,63859809,52040237,52040238,58695319,58695320,71428088,85001155,90850388,90850258,76971533,63859781,52040212,41725112,32804971,25103059,18554412,18554414,25103064,32804980,41725127,52040229,41725370,41725369,256104460,76971741,86971246,100955504,100955503,102073018,268483828,61691753,50209994,40188055,31502863,31502862,40188051,50209986,61691738,74474300,88086515,258259374,71992593,71992594,74421786,88032200,76971514,65951798,53885017,53885018,61691754,50209996,50209997,61691759,63859818,52040241,257173415,32804977,30690400,23275365,17016185,17016186,23275367,30690404,39287621,49214284,60614965,73359742,76971560,63859804,52040233,41725129,38641234,38641235,48556024,59948056,72686646,86285085,100248745,89398619,79315902,65951818,65951819,79315907,73247059,73247058,65951961,65951810,53885079,43360975,43360976,43360933,34260995,34260993,43360914,34260984,34260985,43360918,53885020,65951802,76971568,63859814,63859816,268735354,34261042,26383179,26383180,30690398,39166431,39166430,49096596,60500171,60614962,53885087,49096562,39166393,256104462,23151217,30568603,39166396,49096565,60500148,73247054,73247053,79315951,76971552,63859799,53885050,43360953,269145305,65951822,79315894,65951807,53885033,53885032,43360947,34261000,26383149,26383148,34260999,43360942,53885014,64685292,64685291,65951874,53885104,43360989,34261034,26383172,19648633,14083449,14083450,19648637,26383187,34261024,26383163,19648628,19648629,26383167,34261027,34261088,34261089,33602467,25805119,25805118,33602464,42626966,42626968,49096594,49096549,39166385,30568599,30568600,39166390,49096559,43360949,43360950,48576933,53885010,50156716,49214279,49214280,43360960,34261013,26383156,19648625,19648624,26383153,34261008,42793257,53245015,65234071,61691766,61691767,53885098,53885099,50156715,40134332,40134331,43361007,34261051,26383190,19648640,14083456,14083447,255307207,19648654,19648655,26383213,34261093,43361061,42627070,42627071,53074630,60500135,49096542,39166378,39166379,49096546,49096553,49096552,59968620,48576939,38661059,30083864,30083861,38661053,48576928,43360907,34260982,268794651,40110433,40110434,50130773,61611408,257762534,59968622,72705752,79022311,79315910,65951942,258376848,79316003,65951939,65951938,269489896,79315929,65951845,53885065,53885066,53885154,43361057,34261085,34261084,43361054,53885180,65951954,65951866,53885092,43360985,34261029,34261028,43360983,53885090,65951862,61611405,61611406,258889839,101966827,93138497,93138496,93138481,79022298,65670946,53622953,43122238,34046650,34046649,43122235,53622948,65670939,79022287,92561448,92561447,79022302,79022303,71146947,58425340,256104498,58425350,47050699,47050698,58425347,62504715,50904215,50904216,58425378,59037537,47635502,37713130,37713132,47635504,59037542,52040522,41725453,41725454,52040527,41725463,32805287,32805286,41725461,38435779,38435778,254639202,62469834,50871791,40757016,32002099,32002098,37160190,28644187,21402921,15415886,10656218,10656217,15415883,21402919,28644184,37160186,47050695,58425345,51334844,41149439,32334242,24718056,18244897,18244899,24718059,32334252,41149450,50904223,40787436,40787437,37160201,37160200,47050726,58425377,52036569,41721254,35082891,26998178,26998177,35082889,44457824,38435797,29876921,22520075,16346768,16346767,22520071,29876912,38178918,38178917,40757024,32002106,24443149,24443148,32002102,40723595,50827553,62409527,75307590,89035680,103106233,261344423,261412078,168176745,262449156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373475, s2 = 13016723, dlinesl.size( ) = 34 s1 = 11550887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550887, s2 = 11390058, int(edited[s2]) = 0 s1 = 11550887, s2 = 11390058, d1 = 17, d2 = 6 Dl.O(d1) = 229163731,265792650,274310858 Dl.O(d2) = 262935600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550887, s2 = 11390058, dlinesl.size( ) = 18 s1 = 12659836, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11293469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10250731, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14299176, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11172571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12660076, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11248657, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14299210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14299210, s2 = 534388, int(edited[s2]) = 0 s1 = 14299210, s2 = 534388, d1 = 15, d2 = 54 Dl.O(d1) = 142153005 Dl.O(d2) = 259910024,77918334,257429748,42411587,33420606,25652128,19033422,13586022,13586020,13586021,268149585,13627733,19087624,16264787,13655671,13655672,17823201,12619286,12619285,17823198,24192370,19037422,13589332,9304838,9304839,13589335,19037426,25656022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14299210, s2 = 534388, dlinesl.size( ) = 2 s1 = 14299210, s2 = 534388, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14299210, Dl.E( ) = 60, 1.91e-05 seconds used appending s1 = 14299234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11215659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11215659, s2 = 8036652, int(edited[s2]) = 0 s1 = 11215659, s2 = 8036652, d1 = 15, d2 = 117 Dl.O(d1) = 86129816 Dl.O(d2) = 265692635,229690391,266208623,274703188,231673068,230280633,265754242,274210388,177788416,167294135,262810388,143111257,143111258,155662516,167294132,273576882,263238670,167294129,263972439,273160732,167294128,263238669,262810390,261830934,115883311,129781512,129781517,115883315,259503852,258257450,256014424,17488060,12330418,254849289,254401979,1111053,1111054,1944781,3305712,254593095,254402563,1947374,1947375,3310144,267878169,10309720,10309438,254482729,2540961,1463945,828439,828441,1463949,2540974,4250396,6780762,6804694,6804692,10324977,6793911,4259766,4259765,267857605,1268632,1268631,2186816,3656096,5857047,5937052,3712307,2223033,1289518,1289519,1293425,1293426,1287043,734881,734882,1287045,2218284,2536634,1461710,1461709,2536632,4242582,6769279,10296387,254849839,5379333,3307793,3307794,5379336,6826955,4282975,4282976,6783825,6783826,4488399,4281478,4281477,4299613,4253177,3717749,3717748,3304608,3304606,2538634,2538632,4246026,3708819,3604832,3604836,4264567,4264564,3711699,2222670,1289330,1289331,736051,736054,1289385,2222778,3711872,4258491,6792131,6835387,10373834,14982755,10314686,10314685,6802358,6802357,10334661,9070451,5931285,3708684,3708685,254641583,13287421,18680294,23353219,17085599,17085598,258837717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11215659, s2 = 8036652, dlinesl.size( ) = 40 s1 = 14110145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7220452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12660570, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12660570, s2 = 8216010, int(edited[s2]) = 0 s1 = 12660570, s2 = 8216010, d1 = 63, d2 = 4 Dl.O(d1) = 258842052,115631998,129517057,142834064,272590236,177403241 Dl.O(d2) = 91725919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12660570, s2 = 8216010, dlinesl.size( ) = 40 s1 = 11172817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172817, s2 = 14320755, int(edited[s2]) = 0 s1 = 11172817, s2 = 14320755, d1 = 0, d2 = 43 Dl.O(d1) = 70574729 Dl.O(d2) = 211083238,206002284,199857579,192588936,264160187,211083240,211083241,215236424,264580680,211083238,206002280,199857577,192588935,184142227,184142229,192588938,195471724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172817, s2 = 14320755, dlinesl.size( ) = 18 s1 = 12693752, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11064627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064627, s2 = 15303885, int(edited[s2]) = 0 s1 = 11064627, s2 = 15303885, d1 = 34, d2 = 26 Dl.O(d1) = 254263188,11382149,11382150,16355758,22528482,29883495,28315260,28315261,29844179,22972570,16736093,11692767,11692768,16736097,22476679,16736818,16736817,22973366,21081817,21081819,28287894,30023403,23570376,22650426,16458998,11467996,11467993,16356797,11382938,268088553,29884085,22972788,22972787,29884529,256008776,7223799,7223801,10921932,15769496,21105797,15160644,15160645,21105798,28315964,36811814,28315638,28315636,31246012,39921710,46695107,49322630,58602043,58056877,46682644,36797425,36797424,36799391,40007432,46684885,36800218,28303300,21094391,21094390,28303296,36800216,46684884,48056974,38143524,255941248,16095302,22229459,27233216,21093363,21093361,22170296,29511332,38075646,32785857,255416500,25087270,18543839,13176142,13176141,18543833,13176500,13176502,18544451,19365931,13852200,13852199,19365926,26045077,23612548,23612546,27233358,20304179,20304177,27233354,31252957,23768687,18543900,13176171,8981727,8981726,13176156,18543866,25089128,22320296,16175222,16175221,21091294,15150041,15150043,13176283,13175854,13175855,16175193,11242514,11242513,8981844,8981846,13176382,13176618,8981972,5863988,5863989,8981980,13176635,18543584,13175980,13175981,18543585,25088752,18544186,17299252,12177360,8981780,8981782,13175815,12177311,12177313,15041363,15041364,16336025,11366114,11366113,8209073,8209076,12177377,17299281,14514706,14514707,20227101,25088237,25088240,25089868,27133036,23768677,20227167,20227168,27133029,20227250,14514802,9987660,9987657,13175565,254638899,5863697,8981377,13175568,18542916,16902567,11828725,11828726,16902570,23165110,30582897,38426726,46693104,36931837,28433091,268227162,11692971,7798546,4945406,4945405,7798543,7845528,11750453,16804138,15583491,15583489,21612671,28313111,21102710,21102712,21614460,16000909,16000910,21192406,21099230,15155683,15155681,21099220,22435162,22512895,21464583,15463765,10692497,10692495,15463761,21464573,23049600,22508962,16335376,16335375,22508958,19365348,268091392,42912028,268954742,258160478 Dl.O(d2) = 254237882,21566564,15544307,15544309,10753122,7104260,7104257,7209188,7209187,10900513,7557750,4779072,4779073,267888292,21979274,16346450,11374184,7556386,4778210,2879627,2879629,4778234,5277169,4471659,4471660,7102318,4779552,4779549,7558532,11377130,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915495,11843934,16355716,16355717,12205872,8237817,8237818,12205875,11381741,11381742,16343048,16343047,17295534,12174230,12174229,10747006,7100332,7100333,7561070,7561071,11380701,16354084,22526930,23589340,23589339,31072682,23634077,17318156,17318155,16347556,11375173,11375174,16344304,11372474,11372475,16344307,254180356,12196304,17294237,12173096,8205345,8205344,11383740,16357876,17254753,17182178,16341962,16341964,12193020,8223294,5293495,3244713,3244715,5293503,8223314,12193051,17317853,17338530,17338531,22515757,16342333,12208128,12208125,17333359,16230424,11376594,11376595,8205865,8205786,8205785,8205821,5276853,5276856,8205835,11369276,16340262,22482572,22528545,22514041,17338295,12212360,12212359,11369344,11369343,7553301,4776572,4776570,7553339,7553424,8224985,8224987,11360765,8248916,8248914,12218666,11360905,7547967,7547966,11360922,11362290,7548867,4774112,4774111,7548864,11362288,16331371,17313262,17313263,22512938,17093886,12007118,254167140,5156964,8063764,12007137,17093912,22496498,16322562,11355797,7544856,7492569,4735853,4735854,7492577,11285932,16234002,22394032,28772407,29843344,22487382,16314759,11350866,7542181,4770634,2875837,2875836,4770630,7542170,5296641,3247559,1906391,1088397,1088396,1906388,3247554,5296625,7542132,4770611,2875829,2875830,4770615,7542138,11350796,11737894,7836808,4974565,3004693,3004695,4974572,7836826,11737925,16277712,17235689,12117353,9326457,6109285,6109283,9326450,11357065,16324501,14935585,11356387,7545176,7545175,7545561,7545184,7545182,11356400,16323488,22497613,22490017,16317006,254781677,267831231,2876025,4771034,267977271,15977305,22083163,16304380,11344307,7538696,4768940,2874990,254357701,7538689,11344297,16304361,16319127,16319126,16004890,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538405,11343782,16303434,22473120,29840585,28516391,21295272,15328508,10587095,10587094,10587069,6984034,4388486,4388488,6984040,7539025,11344955,16305419,22475679,21101768,15157569,15157570,15918136,15978061,15978060,22084080,29414312,22478758,22478757,21923725,16306867,16306866,22477526,23340749,30763915,29350065,22018339,22018338,29342717,22010651,22010649,22018285,17273501,17273499,21979573,28301821,28301822,27015840,27015839,23571379,23571380,29845987,23570212,22530218,22530217,23585755,23585756,28882760,29883431,22528353,16355609,11382022,7561993,7561992,11382020,16355605,21979973,21979976,16356714,16356712,11467989,11467986,16458959,22391261,16354176,14935484,10271724,6750171,4229712,4229716,6750164,10271696,14935421,12153980,12153978,17274629,17273577,12152762,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778022,7556024,11373645,16345804,254348570,31135517,254348568,12350339,8344187,8344188,12350341,16286650,11328900,11328899,16286648,22455152,23632489,22514536,22513235,16339524,14431426,14431428,20123091,16347532,16347531,14485769,9966921,7554002,7554003,11010749,7547460,4773357,4773355,4596511,2765169,1602807,1602805,2765154,4596467,7288980,11010762,15883949,21979048,28336045,28336048,36832547,29856221,22491545,16318255,16309476,16309477,22019777,22472527,21296523,16317738,16317737,22490910,16319134,11353606,11353604,16319130,22479929,16308907,11347220,11347221,16308909,16768700,18106562,254760410,28304129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064627, s2 = 15303885, dlinesl.size( ) = 20 s1 = 12301413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11260863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12660898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12660898, s2 = 7247680, int(edited[s2]) = 0 s1 = 12660898, s2 = 7247680, d1 = 1, d2 = 50 Dl.O(d1) = 93002598 Dl.O(d2) = 264520498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12660898, s2 = 7247680, dlinesl.size( ) = 32 s1 = 11335569, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335569, s2 = 14138004, int(edited[s2]) = 0 s1 = 11335569, s2 = 14138004, d1 = 22, d2 = 7 Dl.O(d1) = 262758215,273875537,219457846 Dl.O(d2) = 210809481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335569, s2 = 14138004, dlinesl.size( ) = 24 s1 = 14299374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14299374, s2 = 11193552, int(edited[s2]) = 0 s1 = 14299374, s2 = 11193552, d1 = 16, d2 = 35 Dl.O(d1) = 256739079,55237100,67579272,259153765 Dl.O(d2) = 55237085,44387387,268547205,256213805,26928265,20042684,14357758,9865501,6480548,4060954,254468705,9865503,14357760,20042688,20042687,26928269,35009970,44387403,55237109,67579296,70517855,70517857,67593764,67593763,81061478,95118930,95104589,81047131,67579301,67579300,67593762,81047115,81047116 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14299374, s2 = 11193552, dlinesl.size( ) = 14 s1 = 14252832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11466695, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14253058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13971214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299486, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11437931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12661962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1731264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11175603, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175603, s2 = 11468044, int(edited[s2]) = 0 s1 = 11175603, s2 = 11468044, d1 = 75, d2 = 44 Dl.O(d1) = 257526468 Dl.O(d2) = 215466610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175603, s2 = 11468044, dlinesl.size( ) = 72 s1 = 12515017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11300393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300393, s2 = 6449013, int(edited[s2]) = 0 s1 = 11300393, s2 = 6449013, d1 = 27, d2 = 35 Dl.O(d1) = 261074523,152053532,163916012,273521212 Dl.O(d2) = 254579360,7561206,7561205,11373318,11373316,16345417,17295880,12174533,11378875,7559759,7556252,4778133,2879571,1671098,950779,536183,300668,300667,536181,950775,1671090,254233602,7556181,7559789,7559790,7100268,4470463,2685938,1555922,1555921,2685932,2880260,4779408,7558311,11376831,16349401,16352905,11379671,11379670,16352902,17295274,254759704,254523572,4646584,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111328,7680778,7680774,8151401,5222607,3185936,3185932,5222590,4646770,2799020,1623677,1623675,2798993,4388430,4388427,6983913,6983873,6983875,10586745,11351887,7542728,4770918,4770920,7542740,7553827,7553826,11370268,11091400,10588331,10588334,15330701,11343796,7538407,7538409,11343784,255475773,29840586,35047709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300393, s2 = 6449013, dlinesl.size( ) = 32 s1 = 10798449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11277279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277279, s2 = 15289209, int(edited[s2]) = 0 s1 = 11277279, s2 = 15289209, d1 = 23, d2 = 3 Dl.O(d1) = 270318487,59383197,62501433,50901107,50901105,43834297,43834296,54579509,61879802,50390090,50390091,61879805,74671949,88297421,92460792,78424993,65143389,65143390,73437661,257108160,103258149,92460866,83847492,70321685,70321686,74360928,258028106,115980419,271763614,167392194,177886909,187157501,195227914,202126652,207924741,264716202 Dl.O(d2) = 168388492 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277279, s2 = 15289209, dlinesl.size( ) = 14 s1 = 15078466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7067483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7067483, s2 = 8721895, int(edited[s2]) = 0 s1 = 7067483, s2 = 8721895, d1 = 14, d2 = 13 Dl.O(d1) = 262127211,273315825,192427285,199716816,273969617,199716819,192427288,192427286 Dl.O(d2) = 199716819,199716818,273969619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7067483, s2 = 8721895, dlinesl.size( ) = 2 s1 = 7067483, s2 = 8721895, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 7067483, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11512959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512959, s2 = 11450776, int(edited[s2]) = 0 s1 = 11512959, s2 = 11450776, d1 = 2, d2 = 1 Dl.O(d1) = 218887078 Dl.O(d2) = 207443266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512959, s2 = 11450776, dlinesl.size( ) = 2 s1 = 11512959, s2 = 11450776, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11512959, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11019249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506605, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16336907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16336907, s2 = 8849404, int(edited[s2]) = 0 s1 = 16336907, s2 = 8849404, d1 = 58, d2 = 57 Dl.O(d1) = 212276260,216238787,219523557,221982742,219164114,215825490,211788851,206847660,200866948,193780273,193780274,185515773,176045642,176045641,185515772,193780275,200866949,206847647,211788838,206847653,206847654,200866956,193780279,185515775,176045643,165355369,153566143,153566142,165355367,176045641,185515772,185515776,176045643,165355369,153566143,153566141,153566144,140891826,140891825,260585913,113664957,259985833,85702797,72117224,59385483,47996300,38084057,29519377,22176932,16051467,11145313,7392484,4670370 Dl.O(d2) = 200867033,206847719,206847720,211788883,215825522,219164127,215825518,215825519,264754927,206847718,206847719,206847720,211788883,215825522,219164127,215825518,215825519,265196243,224403317,274360095,274360097,265386715,219797140,219797139,216552176,212639225,207851983,202043894,195136516,187059875,177786310,167291989,155660243,143108649,129778235,115879039,115879038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16336907, s2 = 8849404, dlinesl.size( ) = 26 s1 = 11405635, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8678325, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8678325, s2 = 5508315, int(edited[s2]) = 0 s1 = 8678325, s2 = 5508315, d1 = 22, d2 = 14 Dl.O(d1) = 154271139,166023907,176664989,186081296,194288542,201317951,194288536 Dl.O(d2) = 226664323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8678325, s2 = 5508315, dlinesl.size( ) = 30 s1 = 11334879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334879, s2 = 7469464, int(edited[s2]) = 0 s1 = 11334879, s2 = 7469464, d1 = 58, d2 = 67 Dl.O(d1) = 272572809 Dl.O(d2) = 266961563,267050203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334879, s2 = 7469464, dlinesl.size( ) = 34 s1 = 11401083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401083, s2 = 7888084, int(edited[s2]) = 0 s1 = 11401083, s2 = 7888084, d1 = 27, d2 = 23 Dl.O(d1) = 264764465,265393583 Dl.O(d2) = 194496588,260680588,86713331,73107835,70377469,57685361,46338156,36482111,36482113,29980356,25327243,18748271,13347811,13347810,18748268,23542383,17234039,17234038,23542359,28008638,22638485,16449783,11461436,11461439,16449793,17132219,22639938,16450849,16450847,22640012,22640011,30010723,28553718,28553719,30012098,22640566,22640479,16451147,11462216,7624048,4823628,4823626,7624039,11462201,16451125,255926427,256415202,47728518,256365788,29324687,29324686,37892761,44761253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401083, s2 = 7888084, dlinesl.size( ) = 26 s1 = 12516498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12663586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12517131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12517131, s2 = 5329976, int(edited[s2]) = 0 s1 = 12517131, s2 = 5329976, d1 = 8, d2 = 4 Dl.O(d1) = 53680580,65736614,259098013,107607641,121977679,135899915,149120495,161407618,172589276,161407626,149120502,135899917,121977680,121977679,135899915,149120498,161407624,172589283,172589264,172589266,172589253,161407609,161407608,262992323,161407628,261508547,121977680,121977679,135899915,149120498,161407624,172589283,172589264,172589266,172589253,172589254,263402765,198688790,205024121,264717948,198688831,198688842,191210250,191210237 Dl.O(d2) = 214562181,214562184,264905129,264905127,210273050,264664793,264664791,264103729,191210221,182523154,182523155,263402767,182523142,191210203,198688804,205024131,198688815,191210218,182523152,182523150,191210216,191210239,263771661,205024152,205024126,205024127,210273043,214562183,218087965,221044878,223574000,225765722,227676789,229351993,229351994,230837868,229351992,229351993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12517131, s2 = 5329976, dlinesl.size( ) = 2 s1 = 12517131, s2 = 5329976, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12517131, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11480273, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7007776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10751993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11533111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533111, s2 = 10656828, int(edited[s2]) = 0 s1 = 11533111, s2 = 10656828, d1 = 111, d2 = 141 Dl.O(d1) = 265309788 Dl.O(d2) = 267387556,267368124,244497894,244286342,244058485,243813260,243813259,244058480,267326053,244695252,244879482,267405613,245368350,245368361,245215801,267387567,244695261,244497891,244497893,244695262,244879492,245053071,267439239,245512023,245512022,267396984,245215808,245053076,267368131,244497896,244286343,244058485,243813260,243813259,244058480,267326053,244695249,244695248,244879478,245022977,245187076,245215809,267400380,244695265,267387569,267447482,244795010,267358386,245022972,267337562,245053051,267378408,267315178,267315180,267358384,267378416,245187078,245053054,245053053,267396986,274992996,245187077,245187076,267378412,267387569,267447482,267414712,245053051,267378408,267315178,244662264,267291482,267451843 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11145533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145533, s2 = 7302906, int(edited[s2]) = 0 s1 = 11145533, s2 = 7302906, d1 = 29, d2 = 32 Dl.O(d1) = 47689544,37768209,37768210,41746730,52060747,63879073,257499888,77545184,76093267,63092514,63092513,76093266,71029708,67580479,55238340,44388706,44388707,55238342,61604567,50124615,40104381,31424501,23933948,23933949,31424500,257261946,22844103,16620956,16620957,255942505,38820815,48740983,60135663,53008459,42568505,42568506,52181808,41856782,32926593,32926595,41827619,41827683,38820810 Dl.O(d2) = 265183354,185265826,175753176,165020352,153201116,261679358,259332850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145533, s2 = 7302906, dlinesl.size( ) = 24 s1 = 11966443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11534085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534085, s2 = 13126559, int(edited[s2]) = 0 s1 = 11534085, s2 = 13126559, d1 = 83, d2 = 73 Dl.O(d1) = 265734228 Dl.O(d2) = 257798340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534085, s2 = 13126559, dlinesl.size( ) = 18 s1 = 14254454, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9280270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15285377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15939739, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12664630, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12664630, s2 = 10148233, int(edited[s2]) = 0 s1 = 12664630, s2 = 10148233, d1 = 28, d2 = 31 Dl.O(d1) = 262369186,162084389,260751374,136728572,261322034,173186242,173186244,162084397,149870909,136728575,122896860,108632558,108632559,122896861,136728576,149870902,260154022,122896859,260751376,162084393,173186247,183039513 Dl.O(d2) = 268374577,15071617,15071618,20983978,25912291,19250534,19250530,19250980,25912895,29451011,22254858,16116182,11194806,11194805,16116179,22254851,21408933,21408934,28651554,29605191,24485424,24485423,29605151,32049140,38171492,30284827,29605266,22255317,22255316,18305233,18305234,24787514,29603044,22253397,22253398,27066403,24484861,19251058,19251057,19251062,25913004,29047706,21754322,15700558,15700559,16115351,16115350,255835296,15440565,255403969,28684471,37208421,47105107,58483367,71205300,71394641,58659815,47268212,37358250,37358251,28818534,21549260,15530940,10741346,7096840,254336779,1555044,2684506,4468320,267965415,15531035,255844377,37358431,47268392,58659992,71394779,84969319,98894912,112882709,126734994,272535477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12664630, s2 = 10148233, dlinesl.size( ) = 16 s1 = 15274163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556207, s2 = 15139122, int(edited[s2]) = 0 s1 = 11556207, s2 = 15139122, d1 = 23, d2 = 47 Dl.O(d1) = 230396237 Dl.O(d2) = 202384061,195532863,187522970,178321397,178321396,187522968,263652798,178321405,187522976,187522984,178321410,178321409,187522965,178321395,178321394,178321406,263652805,187522984,187522983,263997831,202384056,263997822,178321380,167894218,167894219,156313191,156313192,167894234,178321402,187522973,195532865,202384064,202384063,202384060,273754522,178321397,178321396,187522968,263652798,178321405,187522976,187522984,187522983,195532871,202384066,264583298,195532870,195532858,187522956,263652801,187522956,178321379,167894218,156313183,156313184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556207, s2 = 15139122, dlinesl.size( ) = 32 s1 = 12664690, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11570251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570251, s2 = 11487168, int(edited[s2]) = 0 s1 = 11570251, s2 = 11487168, d1 = 12, d2 = 8 Dl.O(d1) = 265644508 Dl.O(d2) = 264879026 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570251, s2 = 11487168, dlinesl.size( ) = 14 s1 = 11143165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143165, s2 = 14010438, int(edited[s2]) = 0 s1 = 11143165, s2 = 14010438, d1 = 52, d2 = 16 Dl.O(d1) = 268441696,7066810,4449360,4449361,7066812,10696783,267844836,25567243,18956690,13520340,9252161,9252162,8111219,8111217,6563761,6563762,9986616,8383958,5410315,3325890,3325893,5410326,6061116,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060492,9253675,13522093,10565935,6969018,5196575,3170584,3170582,5196568,8111171,12063156,17158721,17158719,23434359,25569816,21231850,15262199,15262198,12385285,10574230,10574231,15266089,10563756,10563757,12249493,17383179,12385314,8369232,8369231,6533494,4093740,4093741,4380733,254596594,15308789,21270168,21844359,256492007,23472954,17191590,17191589,12095411,8134410,5211688,3179643,1861212,1861214,3179650,5211658,3704950,3704953,2219827,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,5932658,3709498,2221407,1288620,735663,735662,1288610,2221389,3709472,5932612,8333863,5378798,5378797,256015347 Dl.O(d2) = 212659660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431575, s2 = 7314617, int(edited[s2]) = 0 s1 = 11431575, s2 = 7314617, d1 = 11, d2 = 14 Dl.O(d1) = 264424263 Dl.O(d2) = 265317732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431575, s2 = 7314617, dlinesl.size( ) = 14 s1 = 10437927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299761, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12664856, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12519337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11168013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11168013, s2 = 11491326, int(edited[s2]) = 0 s1 = 11168013, s2 = 11491326, d1 = 18, d2 = 19 Dl.O(d1) = 53946853,53946854,66016860,79385188,258303476,71263460,258684467 Dl.O(d2) = 261109597,272836315,263501291 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11168013, s2 = 11491326, dlinesl.size( ) = 20 s1 = 12255839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11380523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11380523, s2 = 15826114, int(edited[s2]) = 0 s1 = 11380523, s2 = 15826114, d1 = 1, d2 = 35 Dl.O(d1) = 165702549 Dl.O(d2) = 241809562,241392689,240942645,266949352,239932490,239932489,266844959,239366079,238750957,274768935,237344857,238081103,238081035,238081036,237344822,236535823,236535824,274768933,274791134,235650091,235650090,236535825,266653729,238750909,238750896,266844953,237344825,237344824,238081058,238750911,239366077,239932488,239366095,238750937,238081092,237344848,266653733,236535831,236535830,237344831,238081064,238081059,237344825,236535826,236535825,266653729,238750909,238750896,238081049,238081048,238750894,266843986,236535848,237344857,238081103,266786125,238750921,238081075,237344835,236535833,236535835,237344837,238081077,238750925,239366086,239366097,238750943,238750942,238750963,238081110,238081111,238750965,239366103,239366091,238750933,238081087,237344844,236535839,236535838,266722771,238081107,237344859,236535849,235650105,234678038,233612425,232440959,231145438,266096251,274660377,235650108,236535852,236535817,236535818,237344812,238081040,238081068,237344832,236535831,235650093,266313755,266313757,235650096,236535835,237344837,238081077,238750925,239366086,239366097,238750943,238081094,266579165,236535844,266653737,238750940,238750893,238081043,237344814,237344813,238081042,238081086,237344843,236535839,235650098,234678034,266410157,235650086,234678030,266209497,231145437,229700447,229700448,266096251,233612419,232440955,232440954,233612418,233612417,233612415,233612416,234678027,233612421,232440957,231145435,229700446,228071929,228071930,226215953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11380523, s2 = 15826114, dlinesl.size( ) = 14 s1 = 13713659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15935765, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11041927, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12520409, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11575931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575931, s2 = 11503638, int(edited[s2]) = 0 s1 = 11575931, s2 = 11503638, d1 = 10, d2 = 2 Dl.O(d1) = 274631540 Dl.O(d2) = 265381234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575931, s2 = 11503638, dlinesl.size( ) = 14 s1 = 14033769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14033769, s2 = 13239666, int(edited[s2]) = 0 s1 = 14033769, s2 = 13239666, d1 = 0, d2 = 81 Dl.O(d1) = 13316132,9096810,5951578,3721911,2535464,2535462,2925748,2925747,4855018,4272629,2554579,2554581,4272294,2554348,1471384,1471383,2530627,4232598 Dl.O(d2) = 6489244,4066155,267870859,9877657,6926258,4351114,4351113,6926255,10504051,11573307,255114047,11565310,14377403,11565323,7697769,4871906,2935822,2935823,4871911,7697779,6491601,4067587,2433987,1407676,1407677,2433989,4067592,6491607,9880754,9880755,14374769,15718850,21777974,20067870,14384080,9890304,9890305,14354445,9862992,9862991,14354444,20038759,255055079,10895438,15731815,21661868,255047313,10812066,14390504,9896494,9896493,9897184,10895199,10895198,14371619,14371618,20056728,14387079,14379622,14379623,20063875,21662741,15730317,14394425,14394427,16594236,11573206,9877612,6489222,4066146,2433203,1407307,800796,453807,453808,800798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14033769, s2 = 13239666, dlinesl.size( ) = 2 s1 = 14033769, s2 = 13239666, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14033769, Dl.E( ) = 100, 4.1e-05 seconds used appending s1 = 14300060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14300064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14300064, s2 = 11504142, int(edited[s2]) = 0 s1 = 14300064, s2 = 11504142, d1 = 22, d2 = 1 Dl.O(d1) = 230764561,232104320,233311687,234405439,235401031,236309222,235824120,234867523,233817728 Dl.O(d2) = 222014626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14300064, s2 = 11504142, dlinesl.size( ) = 20 s1 = 11178429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178429, s2 = 5187981, int(edited[s2]) = 0 s1 = 11178429, s2 = 5187981, d1 = 0, d2 = 7 Dl.O(d1) = 71794319 Dl.O(d2) = 215702908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178429, s2 = 5187981, dlinesl.size( ) = 26 s1 = 10363837, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12520655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8757469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8757469, s2 = 11488964, int(edited[s2]) = 0 s1 = 8757469, s2 = 11488964, d1 = 50, d2 = 91 Dl.O(d1) = 202381445,208141515 Dl.O(d2) = 164559599,175323549,184875800,193217349,274090069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8757469, s2 = 11488964, dlinesl.size( ) = 14 s1 = 10609373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10609373, s2 = 11507824, int(edited[s2]) = 0 s1 = 10609373, s2 = 11507824, d1 = 9, d2 = 9 Dl.O(d1) = 142160000,154794000,166500238,166500237,166500238,177081210,186435755,194588944,201571891,194588941,194588942,201571893,263667236,264593234,224692776,265002658,273725430,201060702,272870764,153872864,141198088,260025292,113958173,99935241 Dl.O(d2) = 142160000,154794000,166500238,166500237,166500238,177081210,186435755,194588944,201571891,194588941,194588942,201571893,263667236,264593234,224692776,265002658,273725430,201060702,272870764,153872864,141198088,260025292,113958173,99935241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10609373, s2 = 11507824, dlinesl.size( ) = 2 s1 = 10609373, s2 = 11507824, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10609373, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 12241407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12241407, s2 = 11120270, int(edited[s2]) = 0 s1 = 12241407, s2 = 11120270, d1 = 86, d2 = 46 Dl.O(d1) = 254235713,929159,523731,523732,929161,929156,929157,1633875,2816323,4674748,4303826,2573194,2573195,4303829,6857859,7399916,7399917,11156169,16066737,267973579,4674574,2816211,2816212,4674576,2816261,1633836,929132,523714,523715,929136,1633841,2816233,2816232,4674609,4674825,267789915,929165,523755,293528,162342,162341,254099803,929197,1633944,1633816,929123,929122,1633814,929121,929120,1633810,2816214,4674579,7399649,4674711,4674662,254525397,11156295,16066905,16068445,11157385,7400465,7400466,7399679,4674564,2816206,2816205,4674561,7399672,7399749,5552430,5552431,8555232,7399746,7399747,11156212,16066800,16068409,11157372,7400448,4675070,4675069,7400446,7400462,4675082,4675083,7400464,11157382,9991234,6566550,6566552,7399855,7399854,11156339,16066747,16066704,11156132,7399673,7399674,267973585,4674704,4674703,7399866,11156378,16067016,15878746,15018067,255367235,17493038,12334087,11007176,7286688,4595167,4595166,7286686,11007172,15878725,11156160,7399699,7399700,6566559,6566560,9991245,14520330,20235194,20925898,15018071,10345966,6811518,6811517,10345965,15018069,20925895,28101778,20925890,15018064,15018065,14979791,12333572,10331522,6799657,4264060,254484423,6783296,10312542,10870242,255362895,14980310,10346633,10346634,10346908,15018894,10346640,10346641,254487881,4295361,6845508,5922983,3703641,2218244,2218242,254323735,1467763,1467762,2547899,4261877,6796859,6747339,4227892,4227893,6747342,6824018,4281163,2559667,1474230,1474227,2559654,4249713,4249717,4242416,4242413,6769034,5248608,3206377,3206378,3464777,3464773,4245762,2538471,2538469,4245756,6773756,10301446,12658682,8594484,8594485,12658683,13316623,13316622,18709706,256008373,17430496,17430495,23757608,255465153,14234144,9785045,6433164,6433162,9785042,11242793,11242794,13914437,13914438,19444847,25261730,29673492,23641375,23011514,16772666,11726376,11726377,16772668,23011587,22371980,22371981,22131196,16016260,16016258,16772595,16772737,22369793,22369792,22320667,22320666,16772679,16772680,21986035,16773339,11726994,11726995,16174649,12285518,254590195,3289476,3289477,5352350,8296808,12285530,11688783,11688784,16175609,11242844,11242842,11243772,7463370,7462701,7462700,11242868,16175636,16771722,16175551,11242807,7462669,7462667,4969163,4969162,7828503,7828483,4969154,4969153,7828457,4969137,3001327,3001328,4969140,7828464,7463196,7463197,11243576,16176561,12285536,12285535,11727268,11727267,16772618,16772616,11726769,7828798,4969338,3001450,3001448,4969332,7828783,11726741,16773083,11727287,11727288,16175626,11242858,11242857,7828816,7828815,11726790,16773126,23012472,22222251,22222252,254756858,11726319,16772577,23012316,20019841,20019840,17717341,12533831,8495421,8495418,11266179,11266177,11266139,7478945,4726636,4726638,7478950,11266144,16206787,19546689,13996731,13996729,19546684,14950523,10284672,10284671,14902615,14902614,15176963,255809877,36834601,33230624,33230625,36379427,33230283,25481599,25481600,29715337,22359470,16206932,16206930,255906823,24245050,31158991,25292383,18718644,13324907,268141001,25292386,31757746,31757747,39007511,30418266,23013228,16773502,11727108,7829024,254371065,1743091,990425,990427,1743094,3001536,255450635,11120503,11120502,11727577,7829424,4969763,4969764,255127351,16773787,268227530,7829418,4969756,4969755,4969759,4969760,7829420,11727570,16774018,23013784,255522779,16929705,16772129,254807381,4968983,4968982,7828233,11725978,16772125,16772211,11726049,11726050,255510767,23198576,255137413,11848829,15583638,10780212,10780211,15583635,11726070,11726066,7828298,7828297,11726064,268238229,30416989,39006063,30416983,23011891,23011890,30416981,23198629,23198630,30620187,30418631,23013555,23013556,30418633,30416973,23011884,23011885,30416974,24392152,255210879,5639220,8667594,12752722,17992165,24392162,23011685,16771967,16771966,23011683,30416838,30418576,23013502,16773762,11727323,11727322,8667616,5639230,3504964,2083429,2083428,3504961,5639224,8667602,12752738,17992190,24392191,23013546,23013547,30418611,30418612,39007915,37392789,28852516,28852517,26379223,256187509,257014479,30620168,23198563,16929695,16929696,23198567,23198548,16929689,11848820,11848819,16929687,23198547,268659389,49143894,48359455,38457625,38457624,48359453,50699785,257083068,37237351,37237350,47142492,38859070,38859069,42809938,42809937,53263075,256029830,55372940,44526841,35150385,35150384,44526838,49143921,49143920,256578696,47030284,51063098,51063099,62692517,257129552,63564233,63564232,76647107,73262974,256578702,51062936,255480300,32144918,32144910,255480298,51062915,52765555,42365952,42365951,256418482,40922289,32144907,32144908,257129533,59807434,48421627,38514436,29949933,29949934,38514438,39057199,48979673,259578567,260790879 Dl.O(d2) = 195490734,202347994,263993432,263264604,195490730,262839582,178258211,167815373,260752088,116525508,102428689,259540444,14931426,20829853,27994112,29750467,25451574,25451572,28744928,24093013,24093014,29541827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12241407, s2 = 11120270, dlinesl.size( ) = 62 s1 = 16260534, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16260534, s2 = 16401363, int(edited[s2]) = 0 s1 = 16260534, s2 = 16401363, d1 = 136, d2 = 138 Dl.O(d1) = 257049261,23611368,17298601,17298602,15193340,15193341,21013434,21013433,28205915,36696479,36860652,42043247,37520483,31095095,31095096,36860436,46741987,256481674,41420482,32560888,24909575,18404750,15193412,10479646,10479647,15193415,21146308,28361919,28361999,21146354,15193443,10479668,6909473,4339495,2597920,2597921,4339497,6909478,10479677,15193462,21146383,28362043,28362035,21146378,21146377,28362034,36860292,256838794,40197712,40197709,50219729,61701533,74484533,88096799,102083715,116141420,130050675,143382063,155923756,167536894,178005986,187252104,195302368,202186043,207973572 Dl.O(d2) = 121358786,107062066,92722903,257174312,57814873,57814872,63883524,59681702,48295327,38385072,29812620,22445207,16276034,255473921,29812622,38385075,48295333,51445106,41245685,41245684,50026396,40007824,257067455,257241426,73096080,60357883,60357884,52065025,256621081,32830189,41751050,257764657,269961614,90872567,87879571,257175238,43912071,39461153,39461154,32104104,32104103,32830903,40004139,39461144,39461145,40876498,40876497,49171969,39246801,39246802,32104136,24528057,18096151,12830378,8723977,5678905,3532150,3532149,5678903,8723973,12830371,18096136,21421987,15481800,254736043,4453076,2675175,2675174,4453070,7073011,10705970,14231650,19864159,19097625,13634945,9336668,9336667,12092833,17197398,19873957,26693945,26703817,19882692,19873996,14239176,14239175,256046669,21276876,21276877,28493865,35134858,27049174,20156360,20156361,27049176,21801822,15741560,10902098,10902097,15741549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16260534, s2 = 16401363, dlinesl.size( ) = 38 s1 = 12521075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10669853, s2 = 12521076, int(edited[s2]) = 0 s1 = 10669853, s2 = 12521076, d1 = 5, d2 = 19 Dl.O(d1) = 201954398,201954400,201954399 Dl.O(d2) = 201954396,195036504,186951275,186951276 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14300102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11438483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11495585, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10732741, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548737, s2 = 11515962, int(edited[s2]) = 0 s1 = 11548737, s2 = 11515962, d1 = 0, d2 = 7 Dl.O(d1) = 228627207 Dl.O(d2) = 219648572,274113509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548737, s2 = 11515962, dlinesl.size( ) = 2 s1 = 11548737, s2 = 11515962, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11548737, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 15191496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15191496, s2 = 11544422, int(edited[s2]) = 0 s1 = 15191496, s2 = 11544422, d1 = 68, d2 = 5 Dl.O(d1) = 263964197,207735172 Dl.O(d2) = 229260512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15191496, s2 = 11544422, dlinesl.size( ) = 66 s1 = 11221929, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10611202, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522567, s2 = 7640321, int(edited[s2]) = 0 s1 = 11522567, s2 = 7640321, d1 = 10, d2 = 17 Dl.O(d1) = 265083764,215595570,218966423 Dl.O(d2) = 112984137,259945182,270504227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522567, s2 = 7640321, dlinesl.size( ) = 14 s1 = 11060463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15956587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15956587, s2 = 14112185, int(edited[s2]) = 0 s1 = 15956587, s2 = 14112185, d1 = 42, d2 = 84 Dl.O(d1) = 228092742 Dl.O(d2) = 7225873,4553457,2737432,1586127,1586126,2737431,4553454,7225872,10924061,255865095,37709507,47631778,59034010,60748732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15956587, s2 = 14112185, dlinesl.size( ) = 52 s1 = 14314011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11210181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11210181, s2 = 16238876, int(edited[s2]) = 0 s1 = 11210181, s2 = 16238876, d1 = 8, d2 = 17 Dl.O(d1) = 84961012,98886009,112872910,126723872,140070557,152760113,159562556,147203361,133980590,120138815,120138814,105926600,91718861,91718860,272263406,274147085 Dl.O(d2) = 222579619,274211726,273890314,187157933,195228332,202127015,207925056,212703427,212703428,265043469,219847306,222579620,224926101,226964508,265897847,231699187,232950195,234082284,266450007,236900987,266684987,238455850,266621799,236146204,235222314,234207352,233090464,231854937,230482515,228940119,265622663,222887560,220213047,217054979,213253550,208608408,273768773,263678739,179279553,168993345,157530291,145095542,260806489,103863691,89759994,75981201,257728673,41135862,32322115,24707490,18236264,18236265,24707492,32322117,34117102,26673051,19855995,14225419,9779365,9779366,14225421,19855997,24699111,254697558,19864746,14232080,14232081,19864748,18977090,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,9786507,14236234,268331061,34683313,43940361,34666210,34666209,43940358,54683027,66939361,258141932,122971151,136802110,149938235,261186144,183099295,191707224,199108265,205367818,263908758,218265108,221191521,223697990,223697989,225869763,225869762,227763885,229425850,230901560,230901561,232223725,233417044,234500878,235488086,235652297,266313978,232443836,231148550,274550916,228075237,226219431,224087727,221629718,264953966,211273712,264169454,192988093,184604720,175004274,164188705,152305560,139575841,139575842,139460042,126089936,112234998,98256966,84349542,70790816,256306224,36819026,28323633,28323634,36561286,37706385,46864988,46864987,46913914,37036465,28538062,21314931,21314930,28538059,37036459,42330447,33349031,25588693,25588694,21314935,15344302,15344303,21314937,28538068,29678117,22326981,22326983,29678120,38242842,47628832,47628696,37706409,37706408,29146323,21838556,21838555,29146318,37706441,37706471,29146345,21838576,15769051,15769053,21838578,29146366,37706493,47628791,44456744,35081830,35081828,29146291,29146290,37706402,47628687,47628865,47628864,46913906,46913908,47628860,53055390,52717532,42330438,42330437,52717530,58279295,46913920,37706463,29146337,29146339,37706467,29146393,29146391,37706535,47628840,59031018,49066745,47628702,37706413,29146300,21838542,15769032,15769033,21838547,29146305,29146353,21838568,15769046,10921439,10921438,15769041,21838558,29146325,29146384,29146383,37706525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11210181, s2 = 16238876, dlinesl.size( ) = 14 s1 = 11575421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575421, s2 = 8221580, int(edited[s2]) = 0 s1 = 11575421, s2 = 8221580, d1 = 75, d2 = 117 Dl.O(d1) = 234713321 Dl.O(d2) = 42990424,42990425,257841357,78816947,89129427,75384333,75384334,78817015,78817014,259443732,72255674,72255675,85657525,72197676,59460270,48069656,48069655,59460269,72197674,72255648,72255647,70985506,70985505,67739043,55400049,55400048,67739041,70985531,76455822,76455823,84363570,84648382,85846923,84363580,81294604,67828806,59460262,48134829,38224764,29658630,29658629,33066460,33066461,42010630,49790265,39770507,39770506,49790261,59460295,48069673,48069671,59460290,72088363,59355017,47964036,38050900,38050901,46905862,46905861,48069685,38157210,38157209,48069662,38157203,29591038,22242669,22242673,28530770,28530755,28530725,28530726,37028714,46905875,37028831,37028833,46652230,46905867,42212100,41426647,32566472,32566471,41426642,44637684,35253144,27154257,27154258,35253145,38224774,38224776,38224790,29658640,29658639,27120428,20217129,20217132,27120434,35212719,35322838,29487354,22149123,22149121,17849117,17849116,24219405,31726051,37028745,37028747,33249966,33249967,42212040,52572776,46905913,37028785,28530776,21308293,15338506,10594147,6988949,6988950,10594151,15093316,10409796,10409793,15093310,21014713 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575421, s2 = 8221580, dlinesl.size( ) = 22 s1 = 11494075, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12667246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12667248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5393005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5393005, s2 = 6874060, int(edited[s2]) = 0 s1 = 5393005, s2 = 6874060, d1 = 18, d2 = 26 Dl.O(d1) = 223079824,223079822 Dl.O(d2) = 259504992,8996218,5873409,3667391,3667390,5873407,8996215,13196729,8997261,8997262,13198330,8997235,8997236,13198331,13196896,13196895,8996313,5873462,5873461,8996311,13196899,18571090,25122772,270503659 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5393005, s2 = 6874060, dlinesl.size( ) = 2 s1 = 5393005, s2 = 6874060, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 5393005, Dl.E( ) = 40, 1.31e-05 seconds used appending s1 = 11292433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292433, s2 = 6591322, int(edited[s2]) = 0 s1 = 11292433, s2 = 6591322, d1 = 45, d2 = 81 Dl.O(d1) = 262479221 Dl.O(d2) = 58384553,257439362,256320534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292433, s2 = 6591322, dlinesl.size( ) = 12 s1 = 11255965, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10698600, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15296626, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11428045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428045, s2 = 7527645, int(edited[s2]) = 0 s1 = 11428045, s2 = 7527645, d1 = 62, d2 = 56 Dl.O(d1) = 263338232,264049958,203838041,209313135 Dl.O(d2) = 267512548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428045, s2 = 7527645, dlinesl.size( ) = 18 s1 = 11578527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11580325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11423339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11423339, s2 = 724531, int(edited[s2]) = 0 s1 = 11423339, s2 = 724531, d1 = 21, d2 = 35 Dl.O(d1) = 264275517 Dl.O(d2) = 76892260,63782278,51966924,41659124,41659125,51966926,63782285,76892266,90771236,90771242,90771241,90771242,76892272,63782288,51966928,41659127,32748480,25056984,18518914,254999990,8968471,13157856,18518916,25056987,30658740,263206169,262247120,263165489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11423339, s2 = 724531, dlinesl.size( ) = 22 s1 = 11430999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430999, s2 = 11504542, int(edited[s2]) = 0 s1 = 11430999, s2 = 11504542, d1 = 0, d2 = 15 Dl.O(d1) = 191733408 Dl.O(d2) = 218777298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430999, s2 = 11504542, dlinesl.size( ) = 26 s1 = 11453121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11284991, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10907235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10907235, s2 = 14156523, int(edited[s2]) = 0 s1 = 10907235, s2 = 14156523, d1 = 51, d2 = 40 Dl.O(d1) = 185156789,193476153,200607959,206624169,273856715,200607947,206624154,206624162,206624163,211593702,215656034,211593708,206624166,206624167,211593710,215656046,219015688,274342541,226399507,228238999,228238997,226399503,224287412,224287413,226399476,226399490,265376151,219015677,215656032,211593700,206624161,206624160,211593698,215656030,219015676,221852749,224287392,221852762,265376147,221852747,265550471,224287405,224287406,224287412,224287413,226399476,226399490,226399489,228238989,229854586,265708273,265550474,215656025,211593695,206624158,206624159,211593697,215656027,219015672,215656029,215656030,219015676,221852749,224287392,224287407,226399493,228238991,226399498,224287401,224287400,226399495,224287411,224287409,224287403,265184507,265184509,265853695,224287396,265376155 Dl.O(d2) = 245870268,245982059,275037875,246744442,267581466,275064777,246539162,246460182,246376783,275015648,267422574,267386966,267223420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10907235, s2 = 14156523, dlinesl.size( ) = 38 s1 = 11396537, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11430211, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11542459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11542459, s2 = 11554466, int(edited[s2]) = 0 s1 = 11542459, s2 = 11554466, d1 = 30, d2 = 29 Dl.O(d1) = 265903173,231747584 Dl.O(d2) = 265724199 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11542459, s2 = 11554466, dlinesl.size( ) = 46 s1 = 11498201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11498201, s2 = 11543688, int(edited[s2]) = 0 s1 = 11498201, s2 = 11543688, d1 = 0, d2 = 13 Dl.O(d1) = 217471028 Dl.O(d2) = 223161134,225422101,227388231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11498201, s2 = 11543688, dlinesl.size( ) = 2 s1 = 11498201, s2 = 11543688, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11498201, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 15270905, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14300382, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11516161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516161, s2 = 7746602, int(edited[s2]) = 0 s1 = 11516161, s2 = 7746602, d1 = 15, d2 = 20 Dl.O(d1) = 265422469 Dl.O(d2) = 274284340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516161, s2 = 7746602, dlinesl.size( ) = 20 s1 = 11558021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558021, s2 = 8554596, int(edited[s2]) = 0 s1 = 11558021, s2 = 8554596, d1 = 61, d2 = 58 Dl.O(d1) = 265734928,231509936,274600533,235909997 Dl.O(d2) = 259593408,128510860,114622588,100587201,100587200,114622587,128510858,259593406,186238750,259593402,154508709,154508710,166238065,176850268,166238068,259593404,260805764,201435094,194423479,186238744,176850262,166238060,154508705,141865020,128510854,114622582,100587197,86622263,73022265,60285487 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558021, s2 = 8554596, dlinesl.size( ) = 32 s1 = 10427890, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11393925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11393925, s2 = 11554596, int(edited[s2]) = 0 s1 = 11393925, s2 = 11554596, d1 = 11, d2 = 14 Dl.O(d1) = 263030947,191946064 Dl.O(d2) = 274254755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11393925, s2 = 11554596, dlinesl.size( ) = 26 s1 = 14255854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14255854, s2 = 12794811, int(edited[s2]) = 0 s1 = 14255854, s2 = 12794811, d1 = 21, d2 = 29 Dl.O(d1) = 231529323,232793291,233935640,234976590,235923816,236787301 Dl.O(d2) = 237573273,237573274,238286824,238286819,237573270,236787300,236787299,266485182,238936242,238936246,238936245,239532977,266835756 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14255854, s2 = 12794811, dlinesl.size( ) = 30 s1 = 11557517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10555775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11523681, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12669034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12669034, s2 = 3336466, int(edited[s2]) = 0 s1 = 12669034, s2 = 3336466, d1 = 81, d2 = 105 Dl.O(d1) = 179861420,188834985,196612368,203272083,208858062,213451193,217213887,220345729,223001373,223001374,225290283 Dl.O(d2) = 261521883,136258035,262550315,161825474,149520826,262267860,93443848,107871523,122284643,261521881,261521887,261521891,260358537,260358535,84050801,84050803,97921483,111855753,107871528,107871526,260955187,149520830,149520842,136258055,122284658,107871540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11652267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11259431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259431, s2 = 11568958, int(edited[s2]) = 0 s1 = 11259431, s2 = 11568958, d1 = 15, d2 = 19 Dl.O(d1) = 256967472,51611486,41385424,32534903,32534902,39418333,32535772,32535771,30607969,23188756,16922154,12027334,12027333,17115201,23386830,30816228,33557422,33557423,30906991,23471830,17190651,17190653,23471832,30906994,25817617,25817616,21374940,21374942,28609929,21393435,21393434,28551800,28551799,255509110,18276619,12971841,12187981,12187980,15010321,15010322,13795265,13795266,19295003,21160197,21160198,28377531 Dl.O(d2) = 261080541,262152805,264456219,274336493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259431, s2 = 11568958, dlinesl.size( ) = 20 s1 = 11653311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527413, s2 = 8568784, int(edited[s2]) = 0 s1 = 11527413, s2 = 8568784, d1 = 28, d2 = 0 Dl.O(d1) = 225405774 Dl.O(d2) = 37272658 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527413, s2 = 8568784, dlinesl.size( ) = 62 s1 = 10823393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10823393, s2 = 4481732, int(edited[s2]) = 0 s1 = 10823393, s2 = 4481732, d1 = 45, d2 = 36 Dl.O(d1) = 265529581,228007155,229641188,231092449,265968954,233571563,234642304,233571562 Dl.O(d2) = 186159723,176751157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10823393, s2 = 4481732, dlinesl.size( ) = 2 s1 = 10823393, s2 = 4481732, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10823393, Dl.E( ) = 46, 1.5e-05 seconds used appending s1 = 15092212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15092212, s2 = 9049891, int(edited[s2]) = 0 s1 = 15092212, s2 = 9049891, d1 = 30, d2 = 39 Dl.O(d1) = 255834007,271924342,152607292,262658323 Dl.O(d2) = 265561488,273863256 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15092212, s2 = 9049891, dlinesl.size( ) = 42 s1 = 11615145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615145, s2 = 11515970, int(edited[s2]) = 0 s1 = 11615145, s2 = 11515970, d1 = 70, d2 = 109 Dl.O(d1) = 242528333 Dl.O(d2) = 264668222,211828983,264989201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615145, s2 = 11515970, dlinesl.size( ) = 50 s1 = 12527679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602023, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11588427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588427, s2 = 12002488, int(edited[s2]) = 0 s1 = 11588427, s2 = 12002488, d1 = 10, d2 = 13 Dl.O(d1) = 266851661,274875048,266223049,265988657,229881923,228270308,265988661,265988659,265711265,224326513,265553611,265856441 Dl.O(d2) = 229881926,228270310,226434601,226434599,224326513,265553611,265856443,274664481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588427, s2 = 12002488, dlinesl.size( ) = 14 s1 = 11515179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11515179, s2 = 11585096, int(edited[s2]) = 0 s1 = 11515179, s2 = 11585096, d1 = 9, d2 = 17 Dl.O(d1) = 265733651 Dl.O(d2) = 266435003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11515179, s2 = 11585096, dlinesl.size( ) = 20 s1 = 11570557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570557, s2 = 8679774, int(edited[s2]) = 0 s1 = 11570557, s2 = 8679774, d1 = 116, d2 = 158 Dl.O(d1) = 266013582 Dl.O(d2) = 219446111,265017520,226698173,228507865,265739350,231509810,230098285,228507855,265224202,224622048,226698160,228507858,228507862,226698162,226698163,228507845,228507844,230098273,230098295,265739356,226698187,224622066,222231177,219446115,216148498,216148497,219446113,222231174,224622061,265412564,224622059,222231173,219446112,216148495,216148494,219446110,222231167,224622053,226698171,226698173,228507865,265739350,231509810,230098285,228507855,265224202,224622048,226698160,228507858,228507862,226698162,226698163,228507845,228507844,230098273,230098295,228507872,226698184,265017522,219446114,216148498,216148497,219446113,222231174,224622061,265412564,224622059,222231173,219446112,216148495,216148494,219446110,222231167,224622053,226698171,226698173,228507865,265739350,231509810,230098285,228507855,265224202,224622048,226698160,228507858,228507862,226698162,265224200,222231163,265017516,222231165,274002562,212168243,207295449,201386002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570557, s2 = 8679774, dlinesl.size( ) = 46 s1 = 11600393, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11587895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587895, s2 = 4582363, int(edited[s2]) = 0 s1 = 11587895, s2 = 4582363, d1 = 27, d2 = 10 Dl.O(d1) = 238067837 Dl.O(d2) = 184114482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587895, s2 = 4582363, dlinesl.size( ) = 14 s1 = 11379391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379391, s2 = 8929603, int(edited[s2]) = 0 s1 = 11379391, s2 = 8929603, d1 = 31, d2 = 35 Dl.O(d1) = 264754371 Dl.O(d2) = 266732995,274890391,267323481,244674887,244860439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379391, s2 = 8929603, dlinesl.size( ) = 52 s1 = 14300732, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10521796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402291, s2 = 8817524, int(edited[s2]) = 0 s1 = 11402291, s2 = 8817524, d1 = 11, d2 = 16 Dl.O(d1) = 263574129 Dl.O(d2) = 265953454,264920706,213258624,208613678,208613677,208613678,202961605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402291, s2 = 8817524, dlinesl.size( ) = 34 s1 = 12670408, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12670410, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12670410, s2 = 7853078, int(edited[s2]) = 0 s1 = 12670410, s2 = 7853078, d1 = 45, d2 = 21 Dl.O(d1) = 193126937,200299243,206356583,211365717,215460570,218844784,221703243,222263326,224649860,274470937,231527895,274752834 Dl.O(d2) = 260339938,259090676,30711671,31734029,27277814,20342093,20342094,20824690,20838326,20838324,18045951,14586512,10784895,10784896,13462457,12724833,12724834,15586506,14914810,14914808,20810583,15600230,11540682,7677826,4858197,4858194,6840926,10381045,15055259,17879775,17879773,18212831,18212840,12917915,12917916,16525852,11517612,256975197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12670410, s2 = 7853078, dlinesl.size( ) = 32 s1 = 11485793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11347783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16330829, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309783, s2 = 9012959, int(edited[s2]) = 0 s1 = 11309783, s2 = 9012959, d1 = 28, d2 = 51 Dl.O(d1) = 265220649 Dl.O(d2) = 247191544,247227111,247261313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309783, s2 = 9012959, dlinesl.size( ) = 34 s1 = 7774509, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11652545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602039, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14005368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14005368, s2 = 11604122, int(edited[s2]) = 0 s1 = 14005368, s2 = 11604122, d1 = 15, d2 = 17 Dl.O(d1) = 266655350,241249677,266846008 Dl.O(d2) = 242434897,242434904,242434903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14005368, s2 = 11604122, dlinesl.size( ) = 26 s1 = 11627709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604883, s2 = 8366120, int(edited[s2]) = 0 s1 = 11604883, s2 = 8366120, d1 = 55, d2 = 38 Dl.O(d1) = 267051565,267162863 Dl.O(d2) = 258266470,29497837,22158984,16037862,16037861,22158982,29449441,29413024,22082614,15976820,15976819,11864841,7929559,7929558,11864840,16952407,16038773,255452223,29498666,38061399,39359974,38060991,38060990,33050604,25322135,25322134,29497640,29497639,38060539,47926305,47926875,59319574,59288089,59288090,72024683,72641726,80353968,73534805,60787306,59288144,47926245,38011541,38011542,47926246,59319238,59061261,47660955,47660954,59061263,71802043,59288024,47891853,37973936,37951222,37951221,47869210,59264737,60830537,60830539,49774995,39756422,39756421,256453914,38591856,30019277,22646810,16456026,16456024,22646808,22672190,22672189,24000685,24000644,24000646,22646828,16456036,11465741,7626409,7626408,11465739,16456033,22646824,23628690,23628691,31115314,38592029,38592031,38601863,31290790,23804280,17470967,16995580,16995579,23258827,30675106,39271583,49197815,49197816,48506880,38591990,30019414,22646916,22646917,30019416,30019163,22646733,16455975,11465707,7626391,7626393,11465713,16455984,22646754,30019192,33992399,26150936,19452495,13920643,9554702,6269470,6269471,9554706,13920651,19452508,255502577,254800175,4898137,4898133,7729033,11420842,16404383,21025995,21025975,15101903,254717233,4309365,4309366,254932301,3816120,3816123,6099052,9310536,6479276,6479279,9863651,7199757,4535985,4535986,7199762,7201695,6494272,6494270,9849147,9868986,6482963,4062398,2431241,1406275,801788,801790,1409381,2437410,2437409,4073530,6500869,9870665,14364072,14378468,9896094,6503496,6503495,9896090,9877552,7145736,4499566,2703715,2703717,4499552,6493473,4534370,4534372,7144094,9280504,6497186,4071203,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725128,4533433,6535170,4094677,4073435,2437368,1409358,1409361,2437395,4073501,5030103,6549437,9965159,14372128,14372129,15627150,15627151,12287055,12287058,14367980,9874129,6486665,4064585,2432383,2432380,4064552,2942171,1706247,1706251,2438827,1410101,1410100,2437617,4073909,6501482,9893654,14372107,9883025,6493354,6493353,4071351,2436204,1408814,801509,454170,255966,255964,454167,801502,1408803,2436177,4071304,6497351,6490375,6490374,9879131,14373155,13370716,13370715,14383160,14383161,14483161,10886527,10886528,268075045,7145815,267826187,1566679,890848,890850,1566687,2703766,4060527,6479862,6484400,4077391,2439622,1410530,1410529,1407659,1407662,2433960,2434550,2434556,1408441,1408438,1406482,1406434,1406432,800373,453605,453603,800357,1406018,2430740,2430336,2430333,4060622,2430302,2430300,4060615,6480013,9864796,7337470,7337467,7192449,6484904,6484901,4102785,2454145,2454149,4102803,6549039,4533936,2725436,1579218,1579217,2725433,4533929,7196645,9893171,14387482,15725437,15725438,15725448,10888897,10888898,15725450,255861689 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604883, s2 = 8366120, dlinesl.size( ) = 54 s1 = 12333388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569129, s2 = 11632040, int(edited[s2]) = 0 s1 = 11569129, s2 = 11632040, d1 = 34, d2 = 17 Dl.O(d1) = 266480483 Dl.O(d2) = 245297554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569129, s2 = 11632040, dlinesl.size( ) = 54 s1 = 13950679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582599, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582599, s2 = 8969768, int(edited[s2]) = 0 s1 = 11582599, s2 = 8969768, d1 = 32, d2 = 30 Dl.O(d1) = 237098180,237857403,238547892 Dl.O(d2) = 267123381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582599, s2 = 8969768, dlinesl.size( ) = 28 s1 = 14300910, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11653545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653545, s2 = 7488084, int(edited[s2]) = 0 s1 = 11653545, s2 = 7488084, d1 = 16, d2 = 20 Dl.O(d1) = 267393149,245070001 Dl.O(d2) = 267476517,267430046,244179118,243942362,267207234,243414893,267236144,267175931,267145064,266934441,266827833 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653545, s2 = 7488084, dlinesl.size( ) = 16 s1 = 11637413, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15271551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12672076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14300954, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14300984, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14300984, s2 = 7525542, int(edited[s2]) = 0 s1 = 14300984, s2 = 7525542, d1 = 24, d2 = 13 Dl.O(d1) = 274942086,244518861,267295138,244217122,244217121 Dl.O(d2) = 267492251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14300984, s2 = 7525542, dlinesl.size( ) = 22 s1 = 11636895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636895, s2 = 11639378, int(edited[s2]) = 0 s1 = 11636895, s2 = 11639378, d1 = 0, d2 = 9 Dl.O(d1) = 246462723 Dl.O(d2) = 246686977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636895, s2 = 11639378, dlinesl.size( ) = 14 s1 = 12672830, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12672830, s2 = 15190629, int(edited[s2]) = 0 s1 = 12672830, s2 = 15190629, d1 = 62, d2 = 102 Dl.O(d1) = 247190852,267630910 Dl.O(d2) = 267336604,267312542,243933535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12672830, s2 = 15190629, dlinesl.size( ) = 68 s1 = 12672836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301018, s2 = 7487581, int(edited[s2]) = 0 s1 = 14301018, s2 = 7487581, d1 = 92, d2 = 78 Dl.O(d1) = 267609654 Dl.O(d2) = 267139709 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301018, s2 = 7487581, dlinesl.size( ) = 14 s1 = 11637699, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12673026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15271756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15271756, s2 = 11646960, int(edited[s2]) = 0 s1 = 15271756, s2 = 11646960, d1 = 0, d2 = 6 Dl.O(d1) = 255076530,6410408,4021601,2409716,2409719,4021619,4768137,4768140,7537336,9745741,6408333,4020370,2409094,1394019,792779,448968,448971,792753,792687,792685,1393810,2408678 Dl.O(d2) = 255565265,16103596,16103598,22239107,29586971,35335408,34595183,34595182,34585063,26597952,26597950,26600621,19794456,15927271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15271756, s2 = 11646960, dlinesl.size( ) = 8 s1 = 10209098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10209098, s2 = 7628657, int(edited[s2]) = 0 s1 = 10209098, s2 = 7628657, d1 = 61, d2 = 26 Dl.O(d1) = 114881066,270351654,98305919,112288156,100830528,259899796 Dl.O(d2) = 91214139,91214138,269979430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10209098, s2 = 7628657, dlinesl.size( ) = 12 s1 = 14010482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14010482, s2 = 12339010, int(edited[s2]) = 0 s1 = 14010482, s2 = 12339010, d1 = 46, d2 = 43 Dl.O(d1) = 261700146,193681850,185400637,175911057,165203554,165203553,175911055,261150944,181282253,262216318 Dl.O(d2) = 147743990,160007604,171244323,171244320,259355452,147743987,147743986,134613734,120817592,106570139,256373844,255441702,254758420 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301140, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11500103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11470771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11470771, s2 = 6614532, int(edited[s2]) = 0 s1 = 11470771, s2 = 6614532, d1 = 23, d2 = 18 Dl.O(d1) = 274009651,216463969,272255194,259490064,113509676,127379889,260702586,263530537,262550744 Dl.O(d2) = 269887970,50518807,256554729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11470771, s2 = 6614532, dlinesl.size( ) = 2 s1 = 11470771, s2 = 6614532, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11470771, Dl.E( ) = 28, 8.82e-06 seconds used appending s1 = 14314608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11089299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301254, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11047787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047787, s2 = 7356050, int(edited[s2]) = 0 s1 = 11047787, s2 = 7356050, d1 = 43, d2 = 24 Dl.O(d1) = 254998202,6094292,3813011,3813012,3812999,2284112,2284113,3813005,6094279,6273952,6273953,6595873,7831093,11729991,7831102,7831100,11730009,16777046,19900581,14256029,14256028,19900572,14537024,14537026,10419694,10419695,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,4126240,2468354,2468350,4126228,6585891,10020276,10052124,10052122,12303641,12303699,12303700,17453387,22724976,23392025,22729345,22729342,22729393,16524013,11516105,11516106,16524019,22729402,30110040,38686319,255110958,20351170,254488086,10051601,14607776,20351165,18691541,18691543,20093913,18831517,18831516,260272823 Dl.O(d2) = 265784320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047787, s2 = 7356050, dlinesl.size( ) = 32 s1 = 12673938, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12673938, s2 = 15156857, int(edited[s2]) = 0 s1 = 12673938, s2 = 15156857, d1 = 6, d2 = 6 Dl.O(d1) = 30048677,23446772,23446771,30877039,30876987,23446741,17171352,17171354,23446748,30876999,34573683,26586866,26586865,31040286,39717649,49736137,59930541,59930542,49443256,49412125,39511952,30903880,30903879,39511948,36523358,28057995,28057993,29464969,38027060,47940738,50234539,50234493,50234494,50234502,50234503,49172461,39247300,39247299,37798413,29235733,29235734,23469476,23469475,30903937,39512040,47241525,47241526,49443233,49412175,39511882,30903826,30903827,39511850,39511861,31040319,23558206,17248855,17248852,23558194,31040302,39717669,47292209,38660354,32043230,24478477,22129917,22129916,24478501,24478502,32043262,40803059,42247408,33268005,30651575,23230124,23230125,22130205,22130206,21571771,21571770,24015558,17667405,17667408,24015564,31065558,31065557,38027085,39247325,38026934,38026931,36523344,29464801,22130020,22130018,16015293,11119718,7375537,7375538,11119724,16015304,22130118,29464777,22130004,16015226,16015227,22130008,22701203,16497633,16497632,22701200,29465131,24478482,18056581,16015145,16015143,16015180,18056606,24478509,32043273,268414958,37382977,28843124,22130630,16015764,11120085,11119739,7375551,7375550,11119738,11119782,16015212,11119662,11119663,7375540,7375541,11119728,16015310,22130127,18896991,13465483,12680882,12680881,16015535,16015463,15549093,10754115,7104896,7104897,10754118,11119922,11119921,12046488,11119657,7375886,4659825,4659823,7375877,11120219,16015918,12046481,8098766,8098764,12046476,17140905,16015670,11120028,10754168,7104925,4473148,4473149,2807371,1628626,1628627,1628613,926069,521987,521986,926062,1628605,2807338,4659713,4659633,4659632,4659850,4659851,4659815,4659816,7375862,11120199,16015622,11119999,11120000,16015625,15549084,10754107,7375687,4659718,4659716,7375681,11119930,7375900,4659831,2807391,2807393,4659836,7375907,11120260,16015953,22130845,29465702,38027862,37038621,28539967,21316428,15345417,15345416,21316427,28539965,37038620,37038656,37038657,37038653,37038614,28539961,21316425,15345415,15345413,21316420,28539954,37038607,46916312,58281789,70996451,78432390,65150374,65150373,78432387,78432383,259070927,269864074,70940467,81155873,67690337,67690335,74266205,74266206,83861807,70336668,70336667,83861805,97720480,91231206,77311968,77311967,70806449,70806448,84365127,84762555,71194218,58472728,58472729,71194219,84762557,98689673,112684109,103537135,89441253,89441254,89441255,89441257,103537141,101000975,87007267,259457421,113725677,127594261,127594267,127594265,113725680,113725681,127594266,132692838,258300672,113725676,103984698,258971937,63073664,63073665,76069661,89864914,88138044,74526178,61744534,50266324,40246761,40246762,257669273,36695785,28205209,21012861,21012862,28205213,28205199,21012853,21012852,28205197,21192560,15229250,15229249,256304833,257422289,70870889,84428207,98245240,84337967,70779069,70779070,67678741,55339228,55339229,67678745,81144575,95201321,98823863,84896936,84896937,98371304,84462149,70905908,70905907,84462146,98371303,257786512,105668383,105668384,105668386,91444971,77515140,64349637,52479505,52479506,64349640,64377172,52503328,52503326,64349669,52479546,42124534,42124536,42124313,42124314,42124512,33168076,33167923,25425305,18832018,18832019,25425308,25425496,25425292,25425293,25425451,25425452,27190696,25144108,18588590,18588591,18832051,13417456,13417457,13417525,18588603,13209631,9004608,9004609,13209633,13425973,13425974,18844155,25440634,25425455,25425408,254204334,13425962,18844135,25440606,33185947,42145304,52503484,52503895,64377737,64377827,65939230,65939231,255259988,42124485,42124483,37954884,29389670,22058937,22058936,29389667,37954878,42124409,52479425,59269124,47873353,38325378,38325380,47873451,47873450,59269208,72005398,72005302,59269041,47873267,37954815,37954814,47873266,37954893,33222802,33222801,42182804,52541747,64416270,72005400,72005381,59269173,59269174,52479437,42124420,42124423,52479440,64349602,52541734,52541735,64416237,54871001,54871002,52503521,50531306,42798416,33766703,25957972,25957974,33766707,33767069,42798861,255262866,42798880,256645800,34753961,255798500,19898869,26733897,255781982,11640476,7755042,4911372,4911369 Dl.O(d2) = 30048677,23446772,23446771,30877039,30876987,23446741,17171352,17171354,23446748,30876999,34573683,26586866,26586865,31040286,39717649,49736137,59930541,59930542,49443256,49412125,39511952,30903880,30903879,39511948,36523358,28057995,28057993,29464969,38027060,47940738,50234539,50234493,50234494,50234502,50234503,49172461,39247300,39247299,37798413,29235733,29235734,23469476,23469475,30903937,39512040,47241525,47241526,49443233,49412175,39511882,30903826,30903827,39511850,39511861,31040319,23558206,17248855,17248852,23558194,31040302,39717669,47292209,38660354,32043230,24478477,22129917,22129916,24478501,24478502,32043262,40803059,42247408,33268005,30651575,23230124,23230125,22130205,22130206,21571771,21571770,24015558,17667405,17667408,24015564,31065558,31065557,38027085,39247325,38026934,38026931,36523344,29464801,22130020,22130018,16015293,11119718,7375537,7375538,11119724,16015304,22130118,29464777,22130004,16015226,16015227,22130008,22701203,16497633,16497632,22701200,29465131,24478482,18056581,16015145,16015143,16015180,18056606,24478509,32043273,268414958,37382977,28843124,22130630,16015764,11120085,11119739,7375551,7375550,11119738,11119782,16015212,11119662,11119663,7375540,7375541,11119728,16015310,22130127,18896991,13465483,12680882,12680881,16015535,16015463,15549093,10754115,7104896,7104897,10754118,11119922,11119921,12046488,11119657,7375886,4659825,4659823,7375877,11120219,16015918,12046481,8098766,8098764,12046476,17140905,16015670,11120028,10754168,7104925,4473148,4473149,2807371,1628626,1628627,1628613,926069,521987,521986,926062,1628605,2807338,4659713,4659633,4659632,4659850,4659851,4659815,4659816,7375862,11120199,16015622,11119999,11120000,16015625,15549084,10754107,7375687,4659718,4659716,7375681,11119930,7375900,4659831,2807391,2807393,4659836,7375907,11120260,16015953,22130845,29465702,38027862,37038621,28539967,21316428,15345417,15345416,21316427,28539965,37038620,37038656,37038657,37038653,37038614,28539961,21316425,15345415,15345413,21316420,28539954,37038607,46916312,58281789,70996451,78432390,65150374,65150373,78432387,78432383,259070927,269864074,70940467,81155873,67690337,67690335,74266205,74266206,83861807,70336668,70336667,83861805,97720480,91231206,77311968,77311967,70806449,70806448,84365127,84762555,71194218,58472728,58472729,71194219,84762557,98689673,112684109,103537135,89441253,89441254,89441255,89441257,103537141,101000975,87007267,259457421,113725677,127594261,127594267,127594265,113725680,113725681,127594266,132692838,258300672,113725676,103984698,258971937,63073664,63073665,76069661,89864914,88138044,74526178,61744534,50266324,40246761,40246762,257669273,36695785,28205209,21012861,21012862,28205213,28205199,21012853,21012852,28205197,21192560,15229250,15229249,256304833,257422289,70870889,84428207,98245240,84337967,70779069,70779070,67678741,55339228,55339229,67678745,81144575,95201321,98823863,84896936,84896937,98371304,84462149,70905908,70905907,84462146,98371303,257786512,105668383,105668384,105668386,91444971,77515140,64349637,52479505,52479506,64349640,64377172,52503328,52503326,64349669,52479546,42124534,42124536,42124313,42124314,42124512,33168076,33167923,25425305,18832018,18832019,25425308,25425496,25425292,25425293,25425451,25425452,27190696,25144108,18588590,18588591,18832051,13417456,13417457,13417525,18588603,13209631,9004608,9004609,13209633,13425973,13425974,18844155,25440634,25425455,25425408,254204334,13425962,18844135,25440606,33185947,42145304,52503484,52503895,64377737,64377827,65939230,65939231,255259988,42124485,42124483,37954884,29389670,22058937,22058936,29389667,37954878,42124409,52479425,59269124,47873353,38325378,38325380,47873451,47873450,59269208,72005398,72005302,59269041,47873267,37954815,37954814,47873266,37954893,33222802,33222801,42182804,52541747,64416270,72005400,72005381,59269173,59269174,52479437,42124420,42124423,52479440,64349602,52541734,52541735,64416237,54871001,54871002,52503521,50531306,42798416,33766703,25957972,25957974,33766707,33767069,42798861,255262866,42798880,256645800,34753961,255798500,19898869,26733897,255781982,11640476,7755042,4911372,4911369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12673938, s2 = 15156857, dlinesl.size( ) = 2 s1 = 12673938, s2 = 15156857, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12673938, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 11014723, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14282420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236783, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12045736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12045736, s2 = 16402221, int(edited[s2]) = 0 s1 = 12045736, s2 = 16402221, d1 = 10, d2 = 10 Dl.O(d1) = 224683857,222301998,219527384,216242639,216242638,219527381,222301991,222302033,224683901,226752049,228555464,266012708,265739540,224683881,265583969,265882413,231549017,274562568,228555462,228555461,230141129,231549022,232811224,232811220,231549013,230141114,228555429,274519682,226752034,224683889,224683890,265739547,230141126,231549019,231549020,231549022,232811224,232811220,231549013,230141114,265739544,224683902,265583971,226752020,224683874,224683868,224683869,226752017,265882404,228555460,266012706,228555425,265583944,265583953,274416384,222302007,219527388,216242644,265017825,222302011,265583946,222301996,219527384,216242639,216242638,219527381,222301991,219527399,216242653,212280259,274109731,219527401,265412786,216242653,274120270,256901799,268625351,47641428,269441605,40936712,32158456,32158455,40936711,51078502,62708778,51927400,257159520,32718658,34968314,34968312,41624949,41624950,33347489,25587333,25587332,25032437,18499578,13143319,8957955,5847060,3648890,2181317,2181316,3648887,5847026,8957905,13143243,18499472,25032284,32718792,267804892,5891859,3679562,2202780,1279660 Dl.O(d2) = 224683857,222301998,219527384,216242639,216242638,219527381,222301991,222302033,224683901,226752049,228555464,266012708,265739540,224683881,265583969,265882413,231549017,274562568,228555462,228555461,230141129,231549022,232811224,232811220,231549013,230141114,228555429,274519682,226752034,224683889,224683890,265739547,230141126,231549019,231549020,231549022,232811224,232811220,231549013,230141114,265739544,224683902,265583971,226752020,224683874,224683868,224683869,226752017,265882404,228555460,266012706,228555425,265583944,265583953,274416384,222302007,219527388,216242644,265017825,222302011,265583946,222301996,219527384,216242639,216242638,219527381,222301991,219527399,216242653,212280259,274109731,219527401,265412786,216242653,274120270,256901799,268625351,47641428,269441605,40936712,32158456,32158455,40936711,51078502,62708778,51927400,257159520,32718658,34968314,34968312,41624949,41624950,33347489,25587333,25587332,25032437,18499578,13143319,8957955,5847060,3648890,2181317,2181316,3648887,5847026,8957905,13143243,18499472,25032284,32718792,267804892,5891859,3679562,2202780,1279660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12045736, s2 = 16402221, dlinesl.size( ) = 2 s1 = 12045736, s2 = 16402221, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12045736, Dl.E( ) = 12, 1e-05 seconds used appending s1 = 11210045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11210045, s2 = 930685, int(edited[s2]) = 0 s1 = 11210045, s2 = 930685, d1 = 5, d2 = 14 Dl.O(d1) = 84382311 Dl.O(d2) = 23628684,29814975,22447158,22447157,22335249,22335250,23258801,30675074,31115321,23628701,17312703,12188184,12188186,17312706,23628704,31115327,39264306,49190383,60590674,73334996,86945710,100928310,114981844 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11210045, s2 = 930685, dlinesl.size( ) = 14 s1 = 11217821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11388075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388075, s2 = 8077745, int(edited[s2]) = 0 s1 = 11388075, s2 = 8077745, d1 = 11, d2 = 12 Dl.O(d1) = 262887169 Dl.O(d2) = 261760532,260037354,72413544,257564120,38380586,29808627,268639295,258142249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388075, s2 = 8077745, dlinesl.size( ) = 14 s1 = 10979521, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10979521, s2 = 6531062, int(edited[s2]) = 0 s1 = 10979521, s2 = 6531062, d1 = 8, d2 = 10 Dl.O(d1) = 254293921 Dl.O(d2) = 255638923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10979521, s2 = 6531062, dlinesl.size( ) = 14 s1 = 16364075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16364075, s2 = 3358089, int(edited[s2]) = 0 s1 = 16364075, s2 = 3358089, d1 = 15, d2 = 7 Dl.O(d1) = 264527698,225215489,227213688,225972905,225972904,227856143,274399126,221323904,221323905,265515727,265515725,223814258,221323908,218416525,274083240,205599180,264451100,192014629 Dl.O(d2) = 109590473,109590472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16364075, s2 = 3358089, dlinesl.size( ) = 12 s1 = 11657469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11657469, s2 = 9570039, int(edited[s2]) = 0 s1 = 11657469, s2 = 9570039, d1 = 29, d2 = 14 Dl.O(d1) = 256372103,26927586,20042058,20042060,26927594,26052558,19372118,13856861,13856862,19372120,26052559,33875365,268741224,49938664,39920779,31245085,23760547,17432887,12287299,8298071,5353216,3290085,1934798,1105131,620099,344576,344528,188935,188934,103425,56885,32049,32048,56944,103554,189656,344954,343880,343883,618810,1102638,1929872,1928639,1105914,1105915,1105639,620370,620371,1105644,1935749,1935676,1935678,1935618,1106986,621151,621150,1106981,267799467,5360399,4545791,2732677,2732676,1936585,1936586,1137559,1137561,1990754,3380935,2021205,1156574,1156577,2021197,3421971,3295311,3039250,3039248,3471466,3039222,2061854,2061855,2043532,1171440,659225,659228,1109375,622582,346018,346014,622601,1109406,1942168,2045465,2047190,1173881,1173878,2047179,2234620,1295910,1295909,749960,426268,426269,749967,1295879,254203389,3732218,2266493,2266492,1938804,1938807,3296498,254591401,5570615,6047309,5559714,3444421,3444422,5559715,5520049,5520047,5368833,5359421,267849705,267849703,8609222,12676956,12627505,8573174,7214966,7214964,10909577,8560778,8560779,12561350,8516745,254867821,17752964,17440190,17440192,23768131,24278166,24278165,24200002,17830798,12625772,8571696,8571693,5567652,3451676,3451675,5567649,8487573,5488594,3446668,2040831,2040832,3446676,5562939,8567307,12590218,12627052,13804386,19306432,17452341,12302944,12302943,12462842,12462844,12462874,12462889,12462888,12678072,12678071,17796120,12596661,12596658,12678125,12678126,12678113,12300413,8307769,8307772,12300425,12462439,12309752,8314505,8314504,8307764,8307765,12300404,8431339,5443002,5443000,8431331,12462553,12233168,254587493,3275615,5329118,8260225,8260654,5525134,3411601,254414255,8526532,12572399,12546526,8505820,8505819,8310574,8218600,8218598,11818006,11818005,8260264,5329145,5329144,6363993,5329153,5329151,5357526,5357527,8303519,8303614,12294284,17440959,23769029,31253322,33095008,25361592,25361591,33095006,39308098,30710361,30710360,38476104,48279164,38367674,29794970,29794968,38367672,34250577,34250579,33510406,33510404,37461068,35009147,26927483,255323451,9865011,6480173,4060714,4060715,6480178,9865023,10802374,10802373,15613152,21645912,21645959,28921253,37460695,47366095,41226295,32402205,24778400,21869859,21646010,21646009,21646017,18298068,12988271,12988270,255626085,32402198,37755819,37755820,37755833,29194557,21882631,21882628,29194550,37755822,47677999,46749049,36869711,36869710,42285613,52671749,48202305,38292857,29725986,25236757,255124136,31229919,23746186,17420842,12278578,8292319,5349737,3287924,3287922,5349734,8292317,8483640,8265690,8265691,12240150,17372241,12245498,12245499,8525149,5523888,5523889,8525150,12570842,12602906,254417052,5550292,8269326,8269325,12244145,12594486,8545589,5543783,5543782,8545586,12594480,12599721,8550485,5548984,5548983,268003907,11241375,12538213,12538214,8550479,8550478,12599710,11241429,11241430,8537925,5535859,5535857,8537920,12534084,8495729,8495728,8552891,5550565,5550564,8552889,12603148,11241376,7461413,4714945,4714946,7461411,11241374,12569619,11593966,7717678,4884717,2943351,1706859,1706860,2943353,4884719,7717682,5498080,5498081,3430483,3430482,4884718,7717680,5569741,5569742,5598403,5598402,8500165,5501757,5495336,3403437,3403438,3421252,2020590,1997330,254139721,366191,200253,108999,59763,33558,19214,11134,6244,6242,11125,19447,33974,60445,110111,201818,368515,664329,1182712,254421663,254877269 Dl.O(d2) = 31177736,39860502,40955283,32175975,32175974,40955281,37730909,29170538,21860974,15788571,12866342,12866343,15788572,12691150,8621485,8621484,12691148,17913313,24295747,31810968,24589896,24589897,32176324,32176302,24589874,24589875,24648998,18192032,18192031,24649009,32247436,29146745,21838902,21838903,29146751,22963003,255953083,23690493,31180119,39862594,31823251,24306527,24306526,31823249,40520289,34984892,26904609,26904610,34984895,32174697,32174696,31295012,31295011,31180308,23733972,23691011,23691012,31180768,256515463,23784513,17454033,17454032,23784512,23866587,23866586,255921858,40046287,37709996,29149744,29149745,31178339,23689077,23689081,23689084,23689086,23777505,17447524,17447527,21115013,20196186,20196183,17366784,12235339,8261693,5330187,3276323,3276324,5330193,8261701,12235353,16991610,23254542,24588430,31180019,31269666,31269663,31269789,30413863,30413864,30413887,23009245,18144060,18144061,20195739,20195740,24590258,21894027,21894024,23688810,17366995,17366997,17367748,23690023,31179535,24818363,24818364,32454848,33976926,31179430,29170513,22673825,22673828,30049339,31642995,24136286,23689994,17367735,16991683,11906293,7963638,7963640,11906281,15337417,16991620,16991621,12622691,12622679,12622678,17827368,24196675,30691161,23688777,17366976,17366978,17367479,14210254,12865696,8749625,8749627,267908571,3276329,1927124,1927125,3276334,5330216,8261748,12235413,17366918,23688693,31177885,39860635,44631441,35246998,27148892,27148891,256757749,38901287,30314698,29702870,29702871,33976931,268259136,26649637,26649638,34641122,257288709,66914016,259134931,84659736,71096852,258151998,47009235,47009234,47259784,37350330,28811815,21544020,15527236,10738835,7095263,4573421,2751322,2751323,4573424,5013288,7892612,10738989,7095396,4467455,2684012,1554797,884028,884027,1554794,2684005,1763901,1004897,566262,317132,175342,96374,96375,175347,317145,566292,1004949,1594485,906421,906420,1594479,2744965,1594160,906250,511054,511053,906244,952930,1674882,2747773,2747772,4568517,4570358,4573571,4570176,2748979,2748980,4569778,4571431,7249648,7251235,7251152,4572581,4572579,2885732,1674827,1674824,2749051,2750758,2747309,1592293,905246,905247,1592294,2747311,4567871,4567922,2747341,2747340,4567919,4570394,2749114,1593380,1593381,2749116,2749179,2749180,1593693,905986,905985,1593674,1593673,2749556,4571031,4564266,2744990,2744991,4564269,7239732,10941074,15791856,255085220,25291012,33016575,41959274,52300116,58691639,47301231,268617819,21579677,15556183,15556184,21579679,16586631,11566593,7698643,4872453,2936111,1702699,967883,545174,305390,305391,254126219,1702706,2936121,4872467,7698664,11566618,14363724,9870335,7374722,7144780,254338669,1566471,1566472,968018,968017,1702949,2936552,4873257,7699897,9880209,9880210,6494137,6494138,4979757,3008078,1747452,1747453,3008065,2724343,2724341,4532216,4531670,2724025,2724028,4531678,6498266,4071872,2436477,1408945,1408942,2430670,4061281,6481081,7175152,4519776,4519779,2728425,2728423,3003126,1744037,990994,990991,1744028,3003108,4971983,7832717,9876809,9888608,9888606,10889003,11567458,16587580,22805042 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11657469, s2 = 9570039, dlinesl.size( ) = 8 s1 = 14301523, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12536165, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14127915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127915, s2 = 14132128, int(edited[s2]) = 0 s1 = 14127915, s2 = 14132128, d1 = 12, d2 = 32 Dl.O(d1) = 192713421 Dl.O(d2) = 263430165,183300118,183300119,191870771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127915, s2 = 14132128, dlinesl.size( ) = 2 s1 = 14127915, s2 = 14132128, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14127915, Dl.E( ) = 34, 1.29e-05 seconds used appending s1 = 12675066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11790104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527457, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11645391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645391, s2 = 6412518, int(edited[s2]) = 0 s1 = 11645391, s2 = 6412518, d1 = 13, d2 = 31 Dl.O(d1) = 275094757,247907856 Dl.O(d2) = 247937619,247939397,267713325,275096750,247942500,267713138,247941046,247941475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645391, s2 = 6412518, dlinesl.size( ) = 24 s1 = 11631913, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11267655, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15272028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084635, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11379491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379491, s2 = 7174427, int(edited[s2]) = 0 s1 = 11379491, s2 = 7174427, d1 = 0, d2 = 32 Dl.O(d1) = 165355971,176046204 Dl.O(d2) = 263577139,273364409,166088981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379491, s2 = 7174427, dlinesl.size( ) = 20 s1 = 12675340, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648515, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14301652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14301652, s2 = 11429484, int(edited[s2]) = 0 s1 = 14301652, s2 = 11429484, d1 = 43, d2 = 49 Dl.O(d1) = 264694388 Dl.O(d2) = 137449255,150484781 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14301652, s2 = 11429484, dlinesl.size( ) = 38 s1 = 10437775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11432373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432373, s2 = 11248244, int(edited[s2]) = 0 s1 = 11432373, s2 = 11248244, d1 = 16, d2 = 27 Dl.O(d1) = 183821065 Dl.O(d2) = 273356974,200429216,271809204,152785477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432373, s2 = 11248244, dlinesl.size( ) = 16 s1 = 11039303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039303, s2 = 10984844, int(edited[s2]) = 0 s1 = 11039303, s2 = 10984844, d1 = 11, d2 = 7 Dl.O(d1) = 255125576,7795221,11688773,16731362,16731365 Dl.O(d2) = 254805590,254369778,254171994,254101830,7103114,7102231,7102230,10749894,11374696,16346999,254393260,7559777,7559776,7557162,4778698,4778696,7557183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039303, s2 = 10984844, dlinesl.size( ) = 16 s1 = 12675480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11070061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070061, s2 = 11377064, int(edited[s2]) = 0 s1 = 11070061, s2 = 11377064, d1 = 57, d2 = 53 Dl.O(d1) = 32783161,41699546,52011194,63826963 Dl.O(d2) = 146252486,261115876 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070061, s2 = 11377064, dlinesl.size( ) = 62 s1 = 10468118, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14301679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11230797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230797, s2 = 11605410, int(edited[s2]) = 0 s1 = 11230797, s2 = 11605410, d1 = 19, d2 = 23 Dl.O(d1) = 274045919,223277846 Dl.O(d2) = 274856349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11289303, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11385605, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12695076, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314848, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314848, s2 = 11117132, int(edited[s2]) = 0 s1 = 14314848, s2 = 11117132, d1 = 14, d2 = 10 Dl.O(d1) = 138894004,125561242,111753739,97829652,97829654,111753741,125561244,138894005,138894003 Dl.O(d2) = 97829652,83968899,256960898,57746419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314848, s2 = 11117132, dlinesl.size( ) = 12 s1 = 11670798, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11670798, s2 = 12037233, int(edited[s2]) = 0 s1 = 11670798, s2 = 12037233, d1 = 0, d2 = 0 Dl.O(d1) = 61565252,50085118,50085117,50991546,50992195,256294132,24513503,18083631,12820472,12818008,8715236,5673257,5673255,8715230,12817990,10846168,10846169,15667595,21709651,24511134,24511132,19071836,13615562,9323102,9323101,12820988,8716897,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,17537378,12369252,12369253,255567355,31380855,31380856,40063663,50085122,50085119,40063661,31380853,31380854,32086009,40857323 Dl.O(d2) = 61565252,50085118,50085117,50991546,50992195,256294132,24513503,18083631,12820472,12818008,8715236,5673257,5673255,8715230,12817990,10846168,10846169,15667595,21709651,24511134,24511132,19071836,13615562,9323102,9323101,12820988,8716897,8716900,12818186,18080069,24508995,28871340,24508271,18079544,12817873,8715175,8715178,12817890,18079586,21322841,18082492,18082495,17244635,17244631,12819890,12819893,17244606,17095907,17095909,18080297,18080298,23102364,26994525,20103843,20103841,19840784,19840785,26654401,25697401,21871856,15797707,10945913,9320477,9320478,7243436,7243437,10945936,15797748,21871910,24514016,21322771,15351464,10605017,10605018,15351413,10604985,10604983,10604972,10604974,15351398,21322688,25704727,25652026,25652028,23883857,17537378,12369252,12369253,255567355,31380855,31380856,40063663,50085122,50085119,40063661,31380853,31380854,32086009,40857323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11670798, s2 = 12037233, dlinesl.size( ) = 2 s1 = 11670798, s2 = 12037233, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11670798, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11490615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440011, s2 = 11262702, int(edited[s2]) = 0 s1 = 11440011, s2 = 11262702, d1 = 16, d2 = 5 Dl.O(d1) = 186739958,177427362 Dl.O(d2) = 260285624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440011, s2 = 11262702, dlinesl.size( ) = 26 s1 = 10553182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10553182, s2 = 11620504, int(edited[s2]) = 0 s1 = 10553182, s2 = 11620504, d1 = 14, d2 = 0 Dl.O(d1) = 275016871,245916162,267511193,246224079,246195247,246096805,245992941,245882089,245882090,245992944,246096807 Dl.O(d2) = 244483542,267301650 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10553182, s2 = 11620504, dlinesl.size( ) = 16 s1 = 12345337, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439181, s2 = 11389160, int(edited[s2]) = 0 s1 = 11439181, s2 = 11389160, d1 = 93, d2 = 62 Dl.O(d1) = 194552380,201539795,207421393,212271461 Dl.O(d2) = 263333104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439181, s2 = 11389160, dlinesl.size( ) = 22 s1 = 11487479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487479, s2 = 12275784, int(edited[s2]) = 0 s1 = 11487479, s2 = 12275784, d1 = 16, d2 = 5 Dl.O(d1) = 209564837 Dl.O(d2) = 197632439,189993920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487479, s2 = 12275784, dlinesl.size( ) = 26 s1 = 10984565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984565, s2 = 5879426, int(edited[s2]) = 0 s1 = 10984565, s2 = 5879426, d1 = 0, d2 = 37 Dl.O(d1) = 2674862,4452499,7072008,10704435 Dl.O(d2) = 236597698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984565, s2 = 5879426, dlinesl.size( ) = 14 s1 = 15272053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11509117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10993377, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541619, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541619, s2 = 9794644, int(edited[s2]) = 0 s1 = 11541619, s2 = 9794644, d1 = 27, d2 = 35 Dl.O(d1) = 226841807 Dl.O(d2) = 31203533,31203535,31203557,31203556,256308322,255389028,9248412,8385066,5410944,5410942,8385056,12283639,8295651,5351677,3289096,3289094,1960578,1119989,628457,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382087,8287196,8287197,12272175,13511153,13511154,9939636,9939635,8377525,8377526,8366173,8366171,11618665,7737558,4899073,2952636,1712273,1712275,2952639,4899077,7737571,11618697,16651073,12397725,12397724,17569540,17547232,15635228,15635227,21672541,255985272,25493371,30165561,30165560,37287487,28753578,21494239,15488104,15488108,12380141,11016345,11016344,11618929,8273005,7737528,7574185,7574187,10555148,10555146,11618545,8287404,5346261,5346258,8287386,11571256,11571258,16591710,22809187,30199995 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541619, s2 = 9794644, dlinesl.size( ) = 20 s1 = 11456451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456451, s2 = 11065152, int(edited[s2]) = 0 s1 = 11456451, s2 = 11065152, d1 = 52, d2 = 56 Dl.O(d1) = 263970468,155618871,155618870,143068893,143068894,155618870,143068897,129737850,272260033 Dl.O(d2) = 269396313,256010425,17452218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456451, s2 = 11065152, dlinesl.size( ) = 46 s1 = 11033573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033573, s2 = 11347010, int(edited[s2]) = 0 s1 = 11033573, s2 = 11347010, d1 = 14, d2 = 16 Dl.O(d1) = 256317595 Dl.O(d2) = 258670101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033573, s2 = 11347010, dlinesl.size( ) = 22 s1 = 14003231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12475324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11322985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322985, s2 = 6494707, int(edited[s2]) = 0 s1 = 11322985, s2 = 6494707, d1 = 69, d2 = 93 Dl.O(d1) = 259741334 Dl.O(d2) = 40501389,31806237,24291538,255205169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322985, s2 = 6494707, dlinesl.size( ) = 34 s1 = 14154415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14154415, s2 = 11564316, int(edited[s2]) = 0 s1 = 14154415, s2 = 11564316, d1 = 35, d2 = 8 Dl.O(d1) = 267035402,243209924,243209921,267076378 Dl.O(d2) = 266303192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14154415, s2 = 11564316, dlinesl.size( ) = 30 s1 = 10733055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10733055, s2 = 12104982, int(edited[s2]) = 0 s1 = 10733055, s2 = 12104982, d1 = 0, d2 = 0 Dl.O(d1) = 265967209,229617175,265967207,227980407,226117269,265351145,218629448,215206768,264447557 Dl.O(d2) = 265967209,229617175,265967207,227980407,226117269,265351145,218629448,215206768,264447557 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10733055, s2 = 12104982, dlinesl.size( ) = 2 s1 = 10733055, s2 = 12104982, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10733055, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11619763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12538731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12538731, s2 = 10993378, int(edited[s2]) = 0 s1 = 12538731, s2 = 10993378, d1 = 102, d2 = 169 Dl.O(d1) = 268416021 Dl.O(d2) = 52781796,64696366,77886115,258421931,269514225,268036072,3808204,3832987,2296530,2296527,3832983,3836951,3836953,3808207,2281192,1323049,754920,753602,431600,430560,243034,134341,73025,73031,73403,39724,39719,73377,134936,133854,133849,242005,428766,754650,1322662,2278720,1321517,254113601,241726,133667,72741,72739,133661,73397,39723,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39719,73377,134931,244188,432383,753612,753613,1321006,2277907,3802912 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15272084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15272084, s2 = 10994982, int(edited[s2]) = 0 s1 = 15272084, s2 = 10994982, d1 = 48, d2 = 24 Dl.O(d1) = 255967641,39203989,257593775,71086501,84649227 Dl.O(d2) = 256859218,10636114,254731634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15272084, s2 = 10994982, dlinesl.size( ) = 36 s1 = 10775015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11182797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142635, s2 = 11426912, int(edited[s2]) = 0 s1 = 14142635, s2 = 11426912, d1 = 27, d2 = 28 Dl.O(d1) = 265463108,274195827,207065588,207065589,264856670,194072696,194072697,274035986 Dl.O(d2) = 264611626,176404721,165741753,153967856,153967855,165741752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142635, s2 = 11426912, dlinesl.size( ) = 30 s1 = 11077531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14259828, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11442117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11396993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396993, s2 = 10998282, int(edited[s2]) = 0 s1 = 11396993, s2 = 10998282, d1 = 22, d2 = 25 Dl.O(d1) = 263030688,98466520 Dl.O(d2) = 256748082,2630084,2630086,4389775,6986123,10590393,268146376,20147712,255266550,12403928,8382889,8382888,10261561,6743149,6743150,10261565,12376797,12376798,12392553,15488596,15488599,12403683,8382718,5409544,5409543,8382713,12403671,10569016,6971130,4379434,2622894,2622893,4379429,6971114,7246889,7246917,4569245,4569242,7246954,10950479,9237680,8378512,5407079,5407077,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8383312,11245208,7464353,7464354,5409339,3325406,1955812,1955809,3325395,5409319,7843606,7843607,11747925,16801228,12397226,12397227,12250266,8377742,8377743,12169876,17291025,16651111,11618742,7737600,7737602,11618745,11618730,11618731,16651104,17546695,23892976,23897434,17551884,255450812,8274440,5339020,5339023,8274452,8273483,5338425,3281493,1930165,1102781,1102775,1930142,3281417,5338248,8273190,12249813,257056445,257314234,268256312,10499609,10499610,10499612,8095878,8095880,12042558,13551963,18991287,22433791,19149699,13673907,9364028,9364030,12574301,8528251,5526702,5526703,8528253,12574304,17768590,13624521,11309355,11309356,16266248,268234581,11588229,11588230,16613785,21156999,25752358,25752359,25608298,18995730,13555992,9280762,9280763,13555997,18995734,25071004,18528722,14030423,9645829,6342008,6342009,9645831,14030425,19006618,13564980,9287576,6084154,6084155,9287582,12207495,17332699,13655356,13655357,17670815,19073319,13616706,13616707,17003246,23267215,255834507,15433886,15433885,268066774,25723360,25631196,19015387,13571428,9291929,6086947,6086946,9291927,13571425,13616112,13616113,268302187,268178679,255341055,14554826,10014978,10014982,10015211,10015419,6582639,4124262,2467325,2467324,4124257,6582629,10015401,14555562,11087809,7353158,4644794,4644792,7353145,7353115,7353117,11087727,15973078,14194382,14194381,12656742,9329126,9329128,13624110,12656738,12656737,16248942,11296819,7500258,7500259,11296825,16248954,22413288,25134893,25625254,19010542,19010540,21156347,23888350,19077671,19077672,25276483,22433476,20285414,20285411,20284668,19009962,13567551,9289333,9289331,13567533,19009941,23919081,19009902,19009901,22433551,22433552,29799966,25740643,20079905,19077924,13620260,13620259,19077920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396993, s2 = 10998282, dlinesl.size( ) = 30 s1 = 12676716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11366287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366287, s2 = 6136273, int(edited[s2]) = 0 s1 = 11366287, s2 = 6136273, d1 = 30, d2 = 19 Dl.O(d1) = 265275093,225221366,225451218,227414638 Dl.O(d2) = 242424989,242424990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366287, s2 = 6136273, dlinesl.size( ) = 12 s1 = 10985855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985855, s2 = 11424302, int(edited[s2]) = 0 s1 = 10985855, s2 = 11424302, d1 = 17, d2 = 27 Dl.O(d1) = 3342330,5436931,5456535,8428172,8439259,8416123,267845435,3338820,5431423,8416120,255183743,17636403,13371722,9139050,8405918,7250874,7250875,8419149,8429864,8438291,8444748,5453656,5453657,5438674,3343319,3343318,5438671,8409052,12440721,12446566,8445708,5454437,5454438,5439692,5439693,8420797,12452424,8441640,254601221,3350989,1970053,1970051,3350985,5451024,5456956,8448667,12478190,12445383,8413787,5429799,3337883,3337882,5429796,8413784,12445380,17625331,17630334,17630333,23972418,17624185,17620215,12438942,256531577,257661825,74445831,88058085 Dl.O(d2) = 143343800,130010290,261844125,167505900,177979528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985855, s2 = 11424302, dlinesl.size( ) = 26 s1 = 11200473, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11200473, s2 = 11198574, int(edited[s2]) = 0 s1 = 11200473, s2 = 11198574, d1 = 1, d2 = 20 Dl.O(d1) = 65562508 Dl.O(d2) = 256694037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11200473, s2 = 11198574, dlinesl.size( ) = 22 s1 = 14126429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126429, s2 = 11445760, int(edited[s2]) = 0 s1 = 14126429, s2 = 11445760, d1 = 30, d2 = 21 Dl.O(d1) = 167214711,261362808,186992852,272943608,177712881,167214716,155582591,155582592,167214717 Dl.O(d2) = 201991557,207807349,204257701,197778617,263368495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126429, s2 = 11445760, dlinesl.size( ) = 18 s1 = 11460805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11055611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055611, s2 = 14097480, int(edited[s2]) = 0 s1 = 11055611, s2 = 14097480, d1 = 19, d2 = 6 Dl.O(d1) = 21472934,254653746,10531369,6945389,6945388,10531367,15263544,254926728,255128882,8106542,8106485,5193794,5193798,3791700,2273109,2273107,3794894,6059712,6059711,9252432,13327453,254375196,268487237,64157244,257010994,105447979,105447980,119686739,133561810,258200008 Dl.O(d2) = 180669637,170536161,159195454,159195455,170536152,159195446,159195447,261238518,143336965,130003402,260109804,272676519,130003402,260109804,260823953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055611, s2 = 14097480, dlinesl.size( ) = 8 s1 = 14097479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14097479, s2 = 11055612, int(edited[s2]) = 0 s1 = 14097479, s2 = 11055612, d1 = 17, d2 = 44 Dl.O(d1) = 115779354,261238519,114900211,114900210 Dl.O(d2) = 128797407,114900219,114900218,128797416,142152552,154787018,166493818,166493808,261784687,128797402,114900206,100849345,86868164,258200011,258200009,86868162,73255320,60508420,60508419,257010995,30576388,268487236,254375197,1770779,1770777,3040639,3040640,1770690,1770686,3040668,5023466,5408200,8380270,12400214,11749163,255128883,254926729,6055674,3789327,2270173,2270174,3789330,254653747,13513104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14097479, s2 = 11055612, dlinesl.size( ) = 46 s1 = 11139793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139793, s2 = 11186996, int(edited[s2]) = 0 s1 = 11139793, s2 = 11186996, d1 = 24, d2 = 29 Dl.O(d1) = 268639708,2566667,2566671,4292838,6821798,6821799,4299860,2570759,2570758,4293703,2567069,1478081,1478083,2567077,4227587,254704199,14930549 Dl.O(d2) = 27993477,36451913,257385099,70340175,256959686,49735522,257540016 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139793, s2 = 11186996, dlinesl.size( ) = 32 s1 = 11434663, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14063476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117187, s2 = 14303157, int(edited[s2]) = 0 s1 = 11117187, s2 = 14303157, d1 = 0, d2 = 0 Dl.O(d1) = 255921621,22593291,29957709,30474044,23063845,23063846,22875554,16647248,16647247,11615190,7734583,7734584,11615193,11764592,11764591,16824039,16824021,11764581,7854470,4985101,4985100,7854467,11764574,16824007,23075734,16824063,16824061,23071562,23071561,16824845,11765146,11765147,16815990,16815991,15422676,11758228,7851334,4983692,3010409,3010410,4983202,3010228,3010231,4983242,267985337,256458873 Dl.O(d2) = 255921621,22593291,29957709,30474044,23063845,23063846,22875554,16647248,16647247,11615190,7734583,7734584,11615193,11764592,11764591,16824039,16824021,11764581,7854470,4985101,4985100,7854467,11764574,16824007,23075734,16824063,16824061,23071562,23071561,16824845,11765146,11765147,16815990,16815991,15422676,11758228,7851334,4983692,3010409,3010410,4983202,3010228,3010231,4983242,267985337,256458873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117187, s2 = 14303157, dlinesl.size( ) = 2 s1 = 11117187, s2 = 14303157, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11117187, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14303158, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12776574, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13226214, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13226214, s2 = 13211461, int(edited[s2]) = 0 s1 = 13226214, s2 = 13211461, d1 = 22, d2 = 4 Dl.O(d1) = 255216361,8718348,5674953,5674955 Dl.O(d2) = 5674998,5675000,6536901,6536898,9946028,12050227,12813075,16209227,11267720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13226214, s2 = 13211461, dlinesl.size( ) = 2 s1 = 13226214, s2 = 13211461, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13226214, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 13290144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13290144, s2 = 11388182, int(edited[s2]) = 0 s1 = 13290144, s2 = 11388182, d1 = 19, d2 = 17 Dl.O(d1) = 25309777,18733459,13893166,13892071,9532755,6253575,3914818,3914814,6253605,3914957,3914954,6253877,9533436,255703877,256690819 Dl.O(d2) = 260338327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13290144, s2 = 11388182, dlinesl.size( ) = 14 s1 = 13315442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13315442, s2 = 7981486, int(edited[s2]) = 0 s1 = 13315442, s2 = 7981486, d1 = 1, d2 = 3 Dl.O(d1) = 3004395,4974100,7836104,255128305,23029075,30435831,30202880,30202883,32233652,24794727,18311285,18311283,18180520,18180518,13771741,13771740,19267325,24332743,19831602,17365277,12234293,9766099,6421081 Dl.O(d2) = 8260958,5329642,5329637,6090180,6090177,9296994,254454980,28563197,21336474,15362888,10614331,10614330,15362886,21336470,28563191,255218730,32486914,32722322,32552954,24902958,18399477,18399476,254896290,15362414,255612946,37064077,30098818,30098819,38676291,39272764,30676319,30565863,23148645,22973918,16887933,16887935,22973914,16888129,16737424,11693656,7798931,4945610,2984913,1732970,1732969,2984910,4945604,7798920,11693638,16737393,22973984,29076524,23591085,17279210,12158710,8189317,5258869,3214602,3214603,5258873,8189327,7967598,7967597,11911268,16996975,17478288,12323045,12323044,11911277,11911278,16996988,17279175,12158692,12158693,17279177,17058533,17058531,23148516,23148518,16996961,12292684,12292685,17439006,15860515,10993042,7277165,4589327,4589326,7277161,10993034,8293462,8293461,12280223,12280233,12280232,17269829,17232153,12113817,8590408,8590407,12652374,17626918,12447184,8415541,8415542,12114933,12114935,17233579,23541814,23766824,17438887,17438885,17231656,17231655,22306157,21265165,17233587,17233586,23539882,31020966,31907706,255528854,29329887,21999490,15899970,11022593,7297726,7297727,11022595,7967718,7967717,11911459,16997232,23260309,30676447,268679780,11555881,7828585,4969209,3001377,3001378,254554917,11726481,16772791,23012529,30417642,30665319,30665318,23249581,16986130,16986128,17342964,12216487,8246675,8246676,12216489,17342969,20064310,14380135,14380134,17855742,24227827,31736528,26928292,26928291,25035448,25035449,32722272,31135742,23648213,17331351,17331350,17867377,17867375,24243443,31755151,28940390,28940391,29085539,37418115,30050461,29155004,21846264,21787938,21787940,29085471,37635340,35032495,26952204,26952203,35032491,39828764,31146602,23659805,22851391,16626543,16626544,22851392,30245524,28438296,28438292,28438293,36937761,46816099,39503306,30895835,23462672,17183697,12082480,8124978,5205343,5205342,8124976,12082477,17183694,23462669,30895834,30437937,30437939,268427764,39027493,30437958,30437959,29169576,29169575,30438005,39027550,48950024,43411624,36930674,28431969,21207957,21207956,16788535,16788536,23031268,30437951,36434609,46287636,51753757,48950037,39027566,30438023,30438022,28414252,28414251,255981964,39027518,33422518,30437969,30437968,32604718,29169346,29169347,37729637,38237763,48147297,268305298,37446437,30438036,23031328,23031329,29654366,29654367,255138230,7837556,4975122,4975123,7837558,5820928,3631276,2168880,1255353,714051,714052,1255359,2168901,3631325,5821012,8919913,9951333,6543929,4099778,2452472,1417830,994678,559964,559967,806623,1417859,2452541,4099910,6544103,9956939,9950321,9950319,10978523,7266637,6542041,6540715,4097863,4096813,2450915,2450918,4096830,6538903,9949150,14461095,14461734,14461014,14461015,20157819,15674711,14464784,9951712,9951715,9960120,6546159,6541423,4098277,2451659,1417394,1417399,2451647,4098260,6541386,8592870,5583234,5583233,4100692,4100694,4986550,4099813,4099808,6540889,6540887,6540878,6540879,4101277,2453296,1418250,1418253,2453308,4101302,4986661,3012008,1749512,994823,994820,994985,1749668,1749667,3012326,4987293,4100817,2453054,2453053,4100812,6545663,8056114,6544292,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283034,504831,894874,1573824,2716118,4519008,7174099,9951814,13578575,9953262,9953260,14466749,20164663,14475286,9959664,6545831,4100899,2453097,1418138,1418137,2453095,4100895,6545824,9959656,14475275,15675278,10851842,255050953,16831104,11769901,7858024,4987361,3012364,3012360,4987345,7857988,11769830,16831029,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,14471219,9956747,9956745,14471212,16828750,20163433,19398223,13875696,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180402,19023867,25640735,21718453,21718452,27056485,35141946,30497906,30497905,39093737,38511278,35198573,35198574,35198679,35198685,27108890,20208187,20208188,27108893,35198689,29912831,29912830,32651658,27071914,27071913,35157833,33921739,26088311,19398920,19398918,23084606,23084607,30497910,39093743,35198660,27108873,27108872,27108416,23084638,16831782,11770507,11770508,16831787,18458434,23084603,16831760,16831759,19398611,19398612,26087937,25892424,25892426,32651702,41540315,44515190,35138136,35138135,44515187,37796491,29234073,29234068,255450350,11095841,11095842,7586725,4798715,4798714,7586721,7358809,4648453,4648452,7358804,11095859,15983136,22089815,29420336,29937465,22574847,22574846,22575415,22575418,25893108,20207847,14500608,14500611,16012806,16012808,12845168,8735100,5686813,3537668,2105832,1212704,1212705,254427663,7016890,10630418,15382782,21361163,28593250,37100478,256232828,31391575,23896894,17551306,17551307,23896897,20946897,20946898,28124539,33047657,255733518,18741193,19796917,14180400,14180399,19796913,26603414,25460622,255261951,13437770,18860585,25460624,24382517,17983313,12745036,8661216,5634162,5634161,8661202,12745002,10041903,10041902,14593681,20334708,19789714,14175172,14175170,13493618,9231704,9231701,9746390,9746394,11213807,7440616,7440615,11205757,14177340,14177339,19792811,22041560,26038023,27269908,255344363,10965174,10965176,15822778,19803916,255518299,11804593,11804594,16874201,22552849,16375940,16375939,22552847,22799552,16582640,11562930,11562931,255495743,29213603,29213602,29215091,24121081,17759748,267972512,17613759,12432523,12432522,13847816,19360137,14528591,9997049,6570232,4115852,4115851,6570228,9997040,14528577,10803464,10803466,8090349,8090351,7138573,7138575,10803456,15373413,21349251,28578511,30697766,29215024,21900777,15821412,15821411,21900774,22106435,15995220,15995221,15946929,15946928,22050201,268630401,39111175,39111176,49040906,60444715,256377964,257500470,100783744,258734002,128735185,142093319,272881407,186386522,194545489,262699152,207416794,212267671,263888868,222291992,224675211,265193446,230135606,231543981,232806539,232806538,233948005,234988028,235934702,236797539,266328736,236808619,266134310,233962135,232821615,232821614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13315442, s2 = 7981486, dlinesl.size( ) = 2 s1 = 13315442, s2 = 7981486, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13315442, Dl.E( ) = 6, 5.96e-06 seconds used appending s1 = 7981487, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15940958, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12695946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14054908, s2 = 10992862, int(edited[s2]) = 0 s1 = 14054908, s2 = 10992862, d1 = 9, d2 = 11 Dl.O(d1) = 255686970 Dl.O(d2) = 1341715,2285196,3814805,2346185,1385645,1385644,2394412,3919462,6260698,9542575,13904725,19432840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14054908, s2 = 10992862, dlinesl.size( ) = 24 s1 = 13997280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14001954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14023542, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12360935, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14526646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12777452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087096, s2 = 11223170, int(edited[s2]) = 0 s1 = 14087096, s2 = 11223170, d1 = 16, d2 = 27 Dl.O(d1) = 258272198 Dl.O(d2) = 53885273,65952069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087096, s2 = 11223170, dlinesl.size( ) = 30 s1 = 12542459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14315186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14315186, s2 = 5302544, int(edited[s2]) = 0 s1 = 14315186, s2 = 5302544, d1 = 60, d2 = 96 Dl.O(d1) = 264549008 Dl.O(d2) = 255847282,98935021,257461068,258695714,164660388,175418824,184963314,193297759,262188178,211489091,215571233,218945031,273981572,264968802,226969603,226969602,226969600,224931620,224931619,226969598,228746573,229814193,228746575,226969600,226969601,226969603,224931621,222585304,219853229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14315186, s2 = 5302544, dlinesl.size( ) = 14 s1 = 11619027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11619027, s2 = 11592720, int(edited[s2]) = 0 s1 = 11619027, s2 = 11592720, d1 = 12, d2 = 15 Dl.O(d1) = 266802660,274752306,241026983,241026982 Dl.O(d2) = 266740254,242262612,242614555 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11619027, s2 = 11592720, dlinesl.size( ) = 14 s1 = 14303339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14303339, s2 = 12543098, int(edited[s2]) = 0 s1 = 14303339, s2 = 12543098, d1 = 0, d2 = 0 Dl.O(d1) = 91506335,77575535,64407703,255335226,91506332,77575533,77575531,255751556,52534695,42177139,42177140,52534698,255335226,91506328,77575527,77575528,64407697,254693240,42177140,52534698,255335226,91506328,91506327,91506329,91506336,77575536 Dl.O(d2) = 91506335,77575535,64407703,255335226,91506332,77575533,77575531,255751556,52534695,42177139,42177140,52534698,255335226,91506328,77575527,77575528,64407697,254693240,42177140,52534698,255335226,91506328,91506327,91506329,91506336,77575536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14303339, s2 = 12543098, dlinesl.size( ) = 2 s1 = 14303339, s2 = 12543098, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14303339, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 12362705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14171722, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14171722, s2 = 14347920, int(edited[s2]) = 0 s1 = 14171722, s2 = 14347920, d1 = 15, d2 = 21 Dl.O(d1) = 40930475,51070838,62699837,54290522,54290523,54290070,54290071,257272167,43427177,256712805,256712807,34927776,26857386,26857387,34927777,44296620,39545903,30930823,30930826,39545889,30971115,30971118,39616023,49063276,39133350,34098501,26235567 Dl.O(d2) = 2423384,2423380,4045881,2422783,2422780,4045975,6454260,9824285,14301374,256209349,44281760,55123411,67461887,76772353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14171722, s2 = 14347920, dlinesl.size( ) = 2 s1 = 14171722, s2 = 14347920, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14171722, Dl.E( ) = 22, 8.82e-06 seconds used appending s1 = 14172326, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12543891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12699026, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14303478, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14303510, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12778648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12778648, s2 = 10362662, int(edited[s2]) = 0 s1 = 12778648, s2 = 10362662, d1 = 144, d2 = 152 Dl.O(d1) = 238883873,238229727,237511297,236720066,235851739,235851738,235701930,234732882,233669756,232501038,231207941,229766253 Dl.O(d2) = 274947949,267334431,274997786,245421129,267543817,246494808,267554996,275037132,246163797,246063573,267491398,274974270,267212286,267148318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12778648, s2 = 10362662, dlinesl.size( ) = 42 s1 = 14181172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181172, s2 = 10981102, int(edited[s2]) = 0 s1 = 14181172, s2 = 10981102, d1 = 2, d2 = 1 Dl.O(d1) = 255195175,8525651,254414165,2012747,1151113,1151109,2012734,2190753,3661494,5864710,4220852,2523644,1454315,1454313,2523634,4220824,6263548,6263546,9072312,9072311,9697521,9563866,6275810,3929645,3929643,6211818,6211821,6275856,6258025,3917670,2345072,1358411,1358413,1341647,1341649,1362521,1362522 Dl.O(d2) = 1362538,1362534,1382032,1382028,2321699,3876635,6193673 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181172, s2 = 10981102, dlinesl.size( ) = 2 s1 = 14181172, s2 = 10981102, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14181172, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 10981101, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11536687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536687, s2 = 11432442, int(edited[s2]) = 0 s1 = 11536687, s2 = 11432442, d1 = 19, d2 = 5 Dl.O(d1) = 225622906,223389184 Dl.O(d2) = 209708745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536687, s2 = 11432442, dlinesl.size( ) = 26 s1 = 14181202, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14181202, s2 = 10544705, int(edited[s2]) = 0 s1 = 14181202, s2 = 10544705, d1 = 0, d2 = 7 Dl.O(d1) = 244807599,274999059,245307469 Dl.O(d2) = 245453877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14181202, s2 = 10544705, dlinesl.size( ) = 14 s1 = 16401120, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12241394, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14191169, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12548279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12702458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5832425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5832425, s2 = 13753370, int(edited[s2]) = 0 s1 = 5832425, s2 = 13753370, d1 = 16, d2 = 35 Dl.O(d1) = 235443122 Dl.O(d2) = 191548120,182902172 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5832425, s2 = 13753370, dlinesl.size( ) = 50 s1 = 12414988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12704422, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15298619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011895, s2 = 11004618, int(edited[s2]) = 0 s1 = 11011895, s2 = 11004618, d1 = 2, d2 = 6 Dl.O(d1) = 12409297,12409296 Dl.O(d2) = 23922462,31412072,40091845,47229784,37320930,28784791,28784790 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011895, s2 = 11004618, dlinesl.size( ) = 2 s1 = 11011895, s2 = 11004618, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11011895, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 12554485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11021211, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12554689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12555095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12555095, s2 = 11594070, int(edited[s2]) = 0 s1 = 12555095, s2 = 11594070, d1 = 67, d2 = 59 Dl.O(d1) = 14897045,17698771,24052643,31556943,25418902,254105812,254185318,20784735,25442952,33160768,25419728,22157799,18846222,13427629,9180673,6008958,6008957,9180670,10243412,254269942,18834487,13419283,9175104,6005224,3755621 Dl.O(d2) = 266471139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12555095, s2 = 11594070, dlinesl.size( ) = 34 s1 = 14080018, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14080018, s2 = 14067800, int(edited[s2]) = 0 s1 = 14080018, s2 = 14067800, d1 = 43, d2 = 9 Dl.O(d1) = 17936824,12709356,254619293,5615371,8634920,8634918,12709338,17936624,21527782,18507853,17935405,12708419,12708418,8634644,5615231,3488075,2071688,2071689,3488077,5615236,8634658,10730325,10730324,15515029,17935718,17935719,24323214,31842830,40540815,268369152,22001286,22001284,24324632,17936852,12709374,8634933,8634934,12708760,17935936,21527803,15515084,12708341,11458856,11458854,8634900,8634902,11915301,17002027,17641981,21183835,21183836,17935454,17935455,15215292,15215293,16807804,11753387,11753388,16807810,19070242,21527763,21527761,15515066,10730343,10730345,12709099,15226740,15226738,21189592,28411115,30003219,36381478,27937132,20783922,14896250,12708821,12708822,17936026,16942110,12708573,8634521,8634519,12708569,12709392,11458912,11458913,16446365,13658122,13658120,19128775,25768550,24324487,17936717,12709274,12708643,12708642,12709115,17936514,17935258,17935259,21183856,21183855,16812261,16446609,11459077,9322377,9322376,13614487,19070245,16445969,16445971,22001298,15901445,15901444,22001293,21189341,15226540,10503086,10503085,15226538,20783947,14896264,10242753,10242752,14896259,18844205,23054148,23054149,255887082,22088314,15981733,15981732,16810524,23057526,28160872,28400285,21179790,21179789,28400283,30467885,30467884,23058868,23058869,23058855,21180071,21180069,20784043,20784044,23052544,23057662,19188508,13704110,13704106,19188496,16811996,13800311,13800309,19301225,22634233,16446584,11459064,7621927,254360987,2905994,4822377,4822394,4822395,7621956,11459111,11458668,11458667,15801734,10948970,10948972,11753340,11753341,15218815,10497906,6922405,4348895,2604644,2604646,4348903,6922418,10497937,15218870,20783980,19188688,19188687,25842592,24323257,21177571,15217531,10497053,6921859,6921860,10497057,15217539,21174967,15218918,12113147,8144604,5217441,5217442,4568468,2747738,1592555,1592556,2747745,4568480,7245832,10948936,15801680,21877136,20904791,16446530,11459020,7621899,4822359,3847939,3847938,6149374,9386328,13704296,19188792,25842732,21179197,18500676,18500677,23265787,17002016,11915298,11915296,11458798,11458799,10497851,10497850,15216594,15216595,15218793,21179232,28397725,23265877,23265876,28404833,21183811,15222292,10500291,10500290,15222287,19188719,13704243,13704244,10948903,10948901,15801612,21877048,25842500,25842499,21876996,15801573,15801572,21876991,15801651,15801652,21877105,23265845,17002066,17002067,15222459,15222337,15222338,17002123,17002122,23265940,30682747,39279690,255467658,21183767,15222268,10500283,10500284,15222274,21183782,23266073,17002224,17002225,23266075,30682907,30682906,39279862,49206224,52686568,47614271,37689161,29127051,29127050,34626371,34626370,43898593,36902425,36902423,46780234,58147748,50095428,40074584,31393056,31393055,40074577,47614220,39893952,37450452,31687951,24179154,24179153,22535211,16361387,11386068,7564467,4783022,4783024,7564473,11386081,16361407,19430554,19430553,26125062,25871256,19212865,19212866,25871064,25869645,19211970,19211597,19211596,25869494,19430563,19430564,25869489,19211593,19211592,13723462,13722490,9400116,6158707,3853645,3853644,6158703,9400108,13722473,9400382,9400380,13722993,13722828,13722829,13722773,9400259,6158762,3853665,3853662,6158756,9400251,13722754,19211900,25869901,19212908,13723383,13723384,19212909,25869770,25869767,25869766,33675683,33677835,25871817,25871816,33675273,25869381,25869382,33675277,25869389,19211523,19211524,19212729,25871074,25314168,18736939,13338639,9113553,5962897,3728813,3728812,5962893,9113543,13338617,18736894,25314079,26125129,31589259,31589256,33677017,33675579,25869666,25869667,33675581,41985744,33041847,255965904,64177901,71951279,59212591,47814160,37892430,37892431,47814162,48405493,38500031,38500030,38500108,38500152,38500153,254753998,33645758,33645757,42675002,255433948,30688678,23272217,23272216,30688677,39285937,49212465,60612473,60612474,73357301,85539373,72074527,72074528,59652462,48265557,47874185,37955830,37955834,42725592,42725591,53175146,64783466,64783465,77514708,64783282,53550466,43071587,43071590,49946403,39928922,39928923,49211877,60612432,50578065,41728663,254963066,34295794,34295795,43395763,43395764,42812289,41728549,32808225,32808226,41728551,52043346,256673396,32808208,41728528,47162555,53265337,53265338,47162570,37257222,28725707,21469035,21469037,18555686,13184911,12708284,12708282,17935199,24322191,17934906,17934905,17935206,24322610,18045192,18045194,24464624,21487485,21487483,28745640,28745577,21487435,18556355,18556360,25105324,24322087,18556419,13185460,13185462,18556347,18556229,13185332,13185333,10707485,10707484,13184989,13184988,255643209,18556450,13185476,8988155,8988156,13185478,15483047,15483048,21487673,255169053,12283456,17427540,21419795,21487764,21487763,18049556,13185008,8987855,5867960,5867961,5662418,5662417,7073608,10706952,15483274,21487459,21487512,18556542,13185978,13185976,13185994,8988457,5868312,3664026,2192723,1273202,1273200,2192714,3664006,3487998,2071654,1189899,1189898,2071648,3487984,5615033,8634266,12708125,17934945,24322239,19619120,14059883,9669444,9669445,13185929,13185926,15771000,10923418,7225201,4552852,4552854,7225205,10706795,7073569,4453379,2675333,1549696,881020,881023,1549704,2675351,4453416,254639281,13185128,18555942,25104959,256619163,257509317,38081677,38081676 Dl.O(d2) = 61242186,74022630,87626659,101593903,115634391,129519528,263226033,184557752,262636893,262353742,28371217,255811691,21149942,23676311,17516379,12352150,8345450,8345451,12352152,17516384,23859800,31353321,255987096,15198912,15198913,21154307,28371308,29339309,31164464,39846498,46746042,37908155,29339300,29339303,28292204,21153609,15198415,10482722,10482556,10482552,15198099,21153143,28369007,21152214,15197464,10482235,6911016,6911014,10482227,15197449,17516715,23860216,256471381,23222260,23222261,30644755,257596441,269496444,256635102,37976586,256002787,23677371,30872277,30872276,30644602,23222045,23222044,30644600,23802386,22082945,21563424,254901130,11632984,7749782,7749778,11632967,13184556,8987553,8987555,9696349,14097988,12657644,12657643,17004304,17004302,23268044,30684915,255980086,33982229,33982230,36479187,46334981,270836966,32549433,32549432,41407597,51648318,46528408,36660910,255800871,15085269,15085268,21001268,256346855,10833819,10833818,15652316,16626690,16626689,12548372,8507651,5508153,3396779,3396780,5508145,8507643,10706326,15482294,21486669,22640249,22840052,25641138,25641140,33407775,40334397,40334398,37880540,29311671,21983832,15888027,11013772,11013770,15888024,21983827,22851205,16626376,11597389,7720038,4886306,4886307,6116090,3826696,3826695,6116085,268029385,25731735,33510859,257222279,64845174,270008265,64845175,270274056,71961569,59223455,256917076,29335182,256374709,31267296,31267295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14080018, s2 = 14067800, dlinesl.size( ) = 18 s1 = 12555407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12555407, s2 = 10561845, int(edited[s2]) = 0 s1 = 12555407, s2 = 10561845, d1 = 4, d2 = 11 Dl.O(d1) = 28083112,20910066,20910067 Dl.O(d2) = 31169055,23680746,23680747,31169056,39851093,38293419,38293418,30716153,30716152,38293550,29726641,22370028,16215382,16215381,22370025,29726637,38293543,39851095,39851094,46518465,49229022,49229023,48202840,38293531,38293532,37489858,37489859,47398309,58034742,46661940,46661941,46517975,46517974,36651299,28175605,28175604,36650619,36650629,28174910,28174908,36650623,36650934,28175253,28175254,36650936,46517807,36650654,36650655,30704424,30704425,39302106,48202830,48202831,57873387,46517798,46517797,48202892,48202891,38293564,29726663,29726664,29726666,22370055,16215398,16215399,22370057,23868393,30691365,31251408,29726603,22369992,16215361,16215362,12292749,8302400,5356536,3292459,1936311,1105991,620566,620567,1105993,1936314,3292466,5356548,8302424,12292782,12292738,8302396,8302397,12292740,17439071,23578255,23578256,31061789,38311870,38311868,39926935,31251495,31251494,24507741,254683912,32081640,24507752,21636755,21636754,22135486,29471425,38034216,39926967,44800396,35375729,27251102,27251101,29471487,29471486,23583315,17270790,12149586,12149583,17270784,23583307,29471447,22135430,16019328,16019329,22135431,29471448,38034235,38034359,40252155 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12555407, s2 = 10561845, dlinesl.size( ) = 2 s1 = 12555407, s2 = 10561845, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12555407, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11266745, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15279528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16286339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12555697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12555697, s2 = 14328663, int(edited[s2]) = 0 s1 = 12555697, s2 = 14328663, d1 = 8, d2 = 12 Dl.O(d1) = 33864903 Dl.O(d2) = 254332947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12555697, s2 = 14328663, dlinesl.size( ) = 2 s1 = 12555697, s2 = 14328663, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12555697, Dl.E( ) = 44, 3.29e-05 seconds used appending s1 = 15916937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12705578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323467, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11026623, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12556055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12556375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12556375, s2 = 12705961, int(edited[s2]) = 0 s1 = 12556375, s2 = 12705961, d1 = 0, d2 = 0 Dl.O(d1) = 23202029,23202030,30624280 Dl.O(d2) = 23202029,23202030,30624280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12556375, s2 = 12705961, dlinesl.size( ) = 2 s1 = 12556375, s2 = 12705961, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12556375, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 12705962, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12556475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11424115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12556651, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12706296, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12706296, s2 = 2085901, int(edited[s2]) = 0 s1 = 12706296, s2 = 2085901, d1 = 22, d2 = 29 Dl.O(d1) = 42584811,53024822,64999536 Dl.O(d2) = 81142066,95198799,81142065,67676268,55336959,55336958,67676265,59511847,48124345,38213981,268085272,59511843,72246343,85838198,72246348,59511850,48124347,38213982,38213983,255462394 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12706296, s2 = 2085901, dlinesl.size( ) = 2 s1 = 12706296, s2 = 2085901, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12706296, Dl.E( ) = 62, 2.31e-05 seconds used appending s1 = 11451575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11451575, s2 = 10198439, int(edited[s2]) = 0 s1 = 11451575, s2 = 10198439, d1 = 72, d2 = 46 Dl.O(d1) = 193494515,185177000 Dl.O(d2) = 155559689,165785436,154017874,141348143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11451575, s2 = 10198439, dlinesl.size( ) = 16 s1 = 15165565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14011106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14223734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12557735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12557735, s2 = 2316461, int(edited[s2]) = 0 s1 = 12557735, s2 = 2316461, d1 = 9, d2 = 4 Dl.O(d1) = 137388322,150428302,162557290,173587867,183382294 Dl.O(d2) = 62017448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12557735, s2 = 2316461, dlinesl.size( ) = 2 s1 = 12557735, s2 = 2316461, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12557735, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 11261069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261069, s2 = 11338556, int(edited[s2]) = 0 s1 = 11261069, s2 = 11338556, d1 = 23, d2 = 6 Dl.O(d1) = 260853327 Dl.O(d2) = 154344703 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261069, s2 = 11338556, dlinesl.size( ) = 28 s1 = 14990298, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12558655, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11517943, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12558969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12559079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16160188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12442436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12708438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11546537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12560093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12560093, s2 = 11600756, int(edited[s2]) = 0 s1 = 12560093, s2 = 11600756, d1 = 2, d2 = 6 Dl.O(d1) = 237764516 Dl.O(d2) = 266775366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12560093, s2 = 11600756, dlinesl.size( ) = 2 s1 = 12560093, s2 = 11600756, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12560093, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 14225304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11446335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446335, s2 = 11280678, int(edited[s2]) = 0 s1 = 11446335, s2 = 11280678, d1 = 9, d2 = 0 Dl.O(d1) = 191104256,182399718,263398585,262751784 Dl.O(d2) = 135682251,121738574,107357608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446335, s2 = 11280678, dlinesl.size( ) = 10 s1 = 11669716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11669716, s2 = 11545030, int(edited[s2]) = 0 s1 = 11669716, s2 = 11545030, d1 = 43, d2 = 38 Dl.O(d1) = 209685803,214117829,217756778,220793641,223379212,225614236,227557871,265488193 Dl.O(d2) = 274050821,265108307,223379210,225614233,225614232,223379206,223379205,223379207,265651999,223379204,220793633,264888755,264888753,265307103 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12709752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10586876, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12709798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11275587, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15275915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11810165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031411, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11371387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371387, s2 = 11029804, int(edited[s2]) = 0 s1 = 11371387, s2 = 11029804, d1 = 5, d2 = 6 Dl.O(d1) = 262060097,272062036,271118239,65988560,258482355,93492075,271118242 Dl.O(d2) = 256709758,32357602,24741266,18268182,12964496,12964494,13364391,18768028,18897802,254953056,15423896,10662541,10662543,7041699,4431298,2945047,2945045,4080265,4080267,6511259,9906888,14403608,20090069,25644360,25644361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371387, s2 = 11029804, dlinesl.size( ) = 2 s1 = 11371387, s2 = 11029804, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11371387, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 16386161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11018565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15287645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14318317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14318317, s2 = 4163841, int(edited[s2]) = 0 s1 = 14318317, s2 = 4163841, d1 = 234, d2 = 270 Dl.O(d1) = 58305577,46939387,256762064,30330378,256323100,46939400,37060735,28559730,21333608,15360597,10612433,254475490,4401351,7002748,10612436,15360603,19442507,26138721,33977673,32815811,25112550,25112549,32450215,24814730,18325002,13008065,13008064,256598629,41897306,41897307,51420870,52232861,257129982,41223893,41223894,32815808,32815807,41736533,52051187,52232864,41897285 Dl.O(d2) = 263310706,177903961,167412509,155782613 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11129581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129581, s2 = 11211360, int(edited[s2]) = 0 s1 = 11129581, s2 = 11211360, d1 = 27, d2 = 18 Dl.O(d1) = 268485847 Dl.O(d2) = 153511741,153511742,263891017,206815837,265195214,192990297,261131336 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129581, s2 = 11211360, dlinesl.size( ) = 14 s1 = 11317021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11317021, s2 = 2621117, int(edited[s2]) = 0 s1 = 11317021, s2 = 2621117, d1 = 3, d2 = 18 Dl.O(d1) = 118229840 Dl.O(d2) = 269460785,74124175 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11317021, s2 = 2621117, dlinesl.size( ) = 14 s1 = 14019505, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14019001, s2 = 8387596, int(edited[s2]) = 0 s1 = 14019001, s2 = 8387596, d1 = 20, d2 = 17 Dl.O(d1) = 892706,254161299,1805162,254130203,324840,179408,98669,54551,54550,98664,179399,324826,580862,1028902,579755,579756,1028909,1571108,1013793,1013794,1020561,1789735,3069721,3076196,1794776,1794775,1799735,1573236,1573237,2715120,3084709,3078594,3078595,1801719,1801717,3078772,5076587,3078605,3078606,1796571,1025117,577640,577639,1025114,1796567,3078823,5042894,3053458,1779002,1014289,571737,571738,1014292,1779006,3053462,3077490,3077470,1795654,1024517,577312,577313,581427,1031720,1805560,1031064,581028,581027,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1781827,3057057,5042112,5042113,5048722,3058717,1782943,1782942,1029164,579893,324320,324321,579894,1016249,1782043,3057423,254377491,7950488,8070919,11871257,11482810,11482811,7934050,267976960,3053105,3053106,3056834,5046422,5056281,7950208,11890438,11892232,11890158,7958365,5062147,5062146,7943233,7943232,11881671,254824674,11917449,11917448,16989942,11904538,9167867,8002321,8002323,10996653,7997242,5090941,254178664,11947387,7997232,7997233,7720393,4886527,4886524,7720389,11597909,11929914,11904532,11904531,16973922,15868983,10998649,10998648,15868981,21962442,16997843,11912089,11912088,15669934,15669938,15669937,21712355,16979910,11904522,7962171,7962170,11874708,254178060,22283493,22283492,23252969,23252970,30668461,23285339,23285338,22949360,16712538,11670913,7780131,7780129,11670910,12007843,254568646,5158115,3443393,3443392,5558632,7785525,4935544,4935547,5044005,3054476,1779766,1779765,3054471,5043993,7933290,11672960,7781981,4932449,4932447,5079878,5079877,5081198,5081201,3081853,3081855,5081249,7983805,9168753,8991820,8991818,7635781,4830704,4830702,7635774,8991997,11935001,15715302,13190128,11923898,8991733,8991730,11947767,11878647,7941005,7941003,5164464,5164463,5274217,5274216,6153572,3850301,3850305,2980570,2980569,4939339,7790316,7965531,5067697,5067695,7931529,5073865,5073866,7973499,7988767,7988766,11936868,16719200,22955536,23243435,17037598,11951440,11951441,11934887,7987315,7987314,11881400,16014497,11119013,7375003,4659301,4659302,7375005,11119015,16014500,22129305,23276953,17099437,17015844,17015843,23274860,17528448,17243059,17243058,13410047,267769938,7940517,5050040,5050039,7940515,11878002,11878001,268228497,7571045,4788128,2886074,2886076,1949207,1794758,1794761,1114201,1114202,1950352,3315449,4721015,4721014,5254588,3211080,1880742,1072956,602846,335712,335711,602841,1072944,1880713,3211015,5254483,8184968,11253490,7470273,4720880,2844263,2844261,4720873,3315663,3315664,5392073,8231792,5303640,3254438,3254436,5303634,5303627,5303616,5303615,8231763,8185163,5254619,5254620,7252807,10957579,15811943,12200802,11677953,11677951,16719757,256452701,48863682,60256621,72992142,86589471 Dl.O(d2) = 123621239,123621240,119779264,105546019,105546018,119779262,133649072,146902240,146902259,141819840,128466897,128466898,137353763,133648983,133648982,146902169,133648992,133648991,133648994,260991970,119779173,105545979,91328240,77409657,64259833,64259834,77409664,77409638,64259821,64259819,77409630,91328200,105545935,119779192,109427541,95171225,95171223,85001607,259321167,112913962,112913942,260991979,109427551,259024182,259159731,109427554,123621315,137353795,150395366,162526149,261669241,260540989,98926358,85001608,71428627,58695928,47305501,47305500,58695921,52404352,42060466,42060464,52404331,52404332,64259837,259024181,260267943,133649047,141819846,141819845,154465615,166198849,176815376,180736278,170607513,159272673,262085192,133649024,133649023,146902188,159272660,261817020,260699984,114581850,126766553,112913949,105546003,91328261,77409691,64259860,52404344,42060465,33111237,25375896,25375897,33111242,42060471,52404359,64259882,77409716,91328291,105546038,260863811,146902264,262577160,260991976,119779292,128466916,114581828,114581826,119779149,105545884,91328166,77409614,77409616,91328174,105545893,105545910,91328182,91328183,105545916,91328240,77409657,64259833,64259834,77409664,77409638,64259821,64259819,77409630,91328200,105545935,119779192,109427541,95171225,95171223,85001607,71428627,58695928,47305501,47305500,58695921,52404352,42060466,257192959,64259864,64259893,77409731,91328279,259651517,119779276,133649094,146902250,159272692,170607502,159272646,261555034,119779166,119779168,261431975,159272649,154465610,154465609,146902198,133649031,119779216,105545960,91328227,77409647,64259825,64259824,259024179,98926346,258694467,58695928,47305501,47305500,58695921,52404352,42060466,33111237,25375896,18790895,18790896,25375900,33111247,42060480,36908701,28450987,21224171,21224172,28450989,36951281,46776564,43413281,34311904,34311903,30074396,30074395,38650369,48565727,53940076,53940077,66010495,79378756,257496736,58623112,58623113,71359957,256374090,37321213,47230084,53256755,65246342,61562200,254659216,31377523,31377527,40060144,32568704,32568703,41428804,51670456,63413282,61562265,256147302,47769481,42733778,33704178,25897911,19237504,19237505,25897912,33704180,42733784,37922703,33808391,25992227,19321171,19321172,19322041,13816528,254667245,3888699,3888698,6212833,9475323,13816524,19322019,255697829,32568742,41428853,51670492,53198027,42749162,42703885,42703884,42749158,33719947,33719945,42749156,47842648,50081417,40059871,31377334,31377331 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14019001, s2 = 8387596, dlinesl.size( ) = 14 s1 = 12710716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11211359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211359, s2 = 11129582, int(edited[s2]) = 0 s1 = 11211359, s2 = 11129582, d1 = 25, d2 = 26 Dl.O(d1) = 261131337,152973665,265195215,200845669,263891016,140858123,140858122 Dl.O(d2) = 268485846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211359, s2 = 11129582, dlinesl.size( ) = 14 s1 = 16270973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12710742, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14315592, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14315592, s2 = 6690155, int(edited[s2]) = 0 s1 = 14315592, s2 = 6690155, d1 = 33, d2 = 38 Dl.O(d1) = 127786123,141142975,261586666,138322441,138322438,124872986,259841752,96908829,260446917,138322439,262111653,165597235,153815973,141142977,127786124,127786123,141142969 Dl.O(d2) = 32087587,258946811,103396876,114554306,100523572,260047037,89307575,103396878,260786103,271757924,259268118,75552011,89307577,75552010,62614364,50992468,50992469,60223695,258806311,100523587,100523585,86561914,269300198,60223694,72962848,86561912,100523582,103396879,114554305,100523571,86561902,72962842,60223691,257406604 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14315592, s2 = 6690155, dlinesl.size( ) = 12 s1 = 11546511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123315, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10990629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10990629, s2 = 11548834, int(edited[s2]) = 0 s1 = 10990629, s2 = 11548834, d1 = 29, d2 = 37 Dl.O(d1) = 255543629 Dl.O(d2) = 265030205,265593193 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10990629, s2 = 11548834, dlinesl.size( ) = 14 s1 = 11099051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11099051, s2 = 8099985, int(edited[s2]) = 0 s1 = 11099051, s2 = 8099985, d1 = 41, d2 = 38 Dl.O(d1) = 254325032,36592142,254486396 Dl.O(d2) = 41751186,50551792,50551791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495961, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11353985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353985, s2 = 8416630, int(edited[s2]) = 0 s1 = 11353985, s2 = 8416630, d1 = 3, d2 = 78 Dl.O(d1) = 152698633,164539245,261219444 Dl.O(d2) = 263245172,185496143,185496142,185496145,185496144,262817146,165332148,153541047,140865394,127509884,127509885,140865395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353985, s2 = 8416630, dlinesl.size( ) = 54 s1 = 11203985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203985, s2 = 11471750, int(edited[s2]) = 0 s1 = 11203985, s2 = 11471750, d1 = 0, d2 = 18 Dl.O(d1) = 81263279,81263281,81263282,95322952,95322951 Dl.O(d2) = 265438592,264573404,224175602,263639136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203985, s2 = 11471750, dlinesl.size( ) = 12 s1 = 12711400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11234255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11067167, s2 = 14345397, int(edited[s2]) = 0 s1 = 11067167, s2 = 14345397, d1 = 0, d2 = 70 Dl.O(d1) = 31763801 Dl.O(d2) = 258910965,102327852,88332015,88332014,102327880,92485312,78448097,74100467,61317460,61317459,74100465,61910955,50420621,40386157,40386156,50420619,61910951,61910958,74704343,259053408,102327859,116420473,116420484,102327873,259053406,257805762,257805764,106792501,258421778,88332007,257805760,92485307,101680293,87706362,87706363,101680294,257810362,106792500,106792499,255680736,78447417,78375820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11067167, s2 = 14345397, dlinesl.size( ) = 12 s1 = 11117259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11117259, s2 = 11655062, int(edited[s2]) = 0 s1 = 11117259, s2 = 11655062, d1 = 60, d2 = 59 Dl.O(d1) = 269349689,86163466 Dl.O(d2) = 258190107,48972878,39051235,30461654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11117259, s2 = 11655062, dlinesl.size( ) = 54 s1 = 11476019, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11500525, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12711936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11543147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543147, s2 = 11365980, int(edited[s2]) = 0 s1 = 11543147, s2 = 11365980, d1 = 11, d2 = 12 Dl.O(d1) = 227212871 Dl.O(d2) = 262881922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543147, s2 = 11365980, dlinesl.size( ) = 14 s1 = 12712132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12712132, s2 = 9749444, int(edited[s2]) = 0 s1 = 12712132, s2 = 9749444, d1 = 37, d2 = 38 Dl.O(d1) = 265327066,230303259,231695299 Dl.O(d2) = 2334930,3898687,6227244,254946629,19353446 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12712132, s2 = 9749444, dlinesl.size( ) = 2 s1 = 12712132, s2 = 9749444, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12712132, Dl.E( ) = 54, 1.69e-05 seconds used appending s1 = 15276147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15276147, s2 = 8904986, int(edited[s2]) = 0 s1 = 15276147, s2 = 8904986, d1 = 116, d2 = 14 Dl.O(d1) = 224064949,265692019,228055019,274457218,265692017 Dl.O(d2) = 235054094,234018652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15276147, s2 = 8904986, dlinesl.size( ) = 52 s1 = 15276193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11143727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143727, s2 = 13193536, int(edited[s2]) = 0 s1 = 11143727, s2 = 13193536, d1 = 15, d2 = 81 Dl.O(d1) = 47281279 Dl.O(d2) = 833730,833732,1474321,2559858,3304585,3304608,2652863,2652860,4421605,6786506,4254420,4234922,4234923,6758134,5585006,254616125,12659719,17876298,24253920,31765898,39745194,39745193,31067066,31067065,39745200,49763714,268916596,46312629,36459822,28001069,20836336,254997405,6751307,4230456,2529434,1457684,1457685,2529437,4230465,6751323,10273220,14937395,11494513,10604179,10604180,15350245,21321129,28544698,36460264,46313036,57657237,256029076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143727, s2 = 13193536, dlinesl.size( ) = 2 s1 = 11143727, s2 = 13193536, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11143727, Dl.E( ) = 92, 2.41e-05 seconds used appending s1 = 11504093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504093, s2 = 2868430, int(edited[s2]) = 0 s1 = 11504093, s2 = 2868430, d1 = 17, d2 = 3 Dl.O(d1) = 264158092,185572573,262623706 Dl.O(d2) = 85791356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504093, s2 = 2868430, dlinesl.size( ) = 2 s1 = 11504093, s2 = 2868430, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11504093, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 15276201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15276201, s2 = 4556908, int(edited[s2]) = 0 s1 = 15276201, s2 = 4556908, d1 = 30, d2 = 12 Dl.O(d1) = 53533726,43053831,33994956,33994957,43053833,53533729,65558556,71438227,58706734,47317830,47317831,47214719,47214720,37407452,28866248,21591652,21591651,28866245,37407449 Dl.O(d2) = 182536814 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15276201, s2 = 4556908, dlinesl.size( ) = 2 s1 = 15276201, s2 = 4556908, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15276201, Dl.E( ) = 34, 2.88e-05 seconds used appending s1 = 15317496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15317496, s2 = 11596050, int(edited[s2]) = 0 s1 = 15317496, s2 = 11596050, d1 = 65, d2 = 1 Dl.O(d1) = 267579819,267564705,246445548,246361342 Dl.O(d2) = 241815707,266996869,240949737,240949741,240464140,239941005,239376004,238763420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15317496, s2 = 11596050, dlinesl.size( ) = 22 s1 = 11497871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12567857, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12568573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13558552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15276287, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14939632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15218297, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14260221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12554997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15707322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9055436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9055436, s2 = 7489955, int(edited[s2]) = 0 s1 = 9055436, s2 = 7489955, d1 = 26, d2 = 21 Dl.O(d1) = 267092197,241514698,241075484,267009689,241075481,241075480,241514692,241921776,241921781,241921772,241921771,274915585,267051949,241075483,241075482,241514694,241921780,274915587,241921783,241514696,241075483,240602492,240602491,241075479,241514689 Dl.O(d2) = 267163213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9055436, s2 = 7489955, dlinesl.size( ) = 2 s1 = 9055436, s2 = 7489955, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 9055436, Dl.E( ) = 28, 8.11e-06 seconds used appending s1 = 11526941, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11457203, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14260438, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14260438, s2 = 6958697, int(edited[s2]) = 0 s1 = 14260438, s2 = 6958697, d1 = 40, d2 = 37 Dl.O(d1) = 6189848,3873820,2319734,1344774,1344776,2319741,2319838,3873977,3873477,254455221,6189915,3873865 Dl.O(d2) = 260618230 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14260438, s2 = 6958697, dlinesl.size( ) = 2 s1 = 14260438, s2 = 6958697, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14260438, Dl.E( ) = 78, 1.91e-05 seconds used appending s1 = 15219001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15219001, s2 = 10583587, int(edited[s2]) = 0 s1 = 15219001, s2 = 10583587, d1 = 40, d2 = 43 Dl.O(d1) = 15433900,10669812,7047009,7047008,10669809,15433897,15378726,15378727,21355854,28586559,37092645,30809376,28647778,21405812,15418194,10658129,10658128,10827355,7156558,7156561,10827359,15644665,255213764,25603844,33368501,28586554,28586555,37092640,46975805,38193692,38193691,47028188,47028187,58399995,257439394,41178027,51364123,47091887,37196149,268919915,47091890,49344229,39414583,39414584,33691427,25884794,25884795,33691429,42721499,42721506,37164336,28647783,21405814,21405813,28647780,255403338,48066494,38153653,29587388,29587389,31424297,40104139,50124356 Dl.O(d2) = 256855292,25805545,19158613,19158611,25805543,33602921,42627537,53075159,65057710,78336720,92369558,106673523,260904851,126412982,112543485,112543482,112543481,259994100,105726341,113757518,259914372,78336694,78336693,92369522,106673486,120926053,106673521,106673522,259294956,78336666,84625770,98549655,92369548,78336715,65057706,53075154,53075153,65057703,78336711,92369543,94335076,106673445,106673429,106673424,106673421,120926045,113757515,113757514,127626201,140975885,147849497,149157301,139786737,126412980,112543479,112543478,112517360,112517361,98549665,84625781,84625782,92369480,98716720,112498509,98502855,98502856,112498510,126369905,122004558,122004559,134724150,134724149,147849504,134724153,120926119,106673520,92369556,92369555,106673517,120926055,120926083,106673470,106673471,100660252,100660251,114705657,128602406,134724134,147070465,134724147,120926110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15219001, s2 = 10583587, dlinesl.size( ) = 2 s1 = 15219001, s2 = 10583587, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15219001, Dl.E( ) = 44, 1.1e-05 seconds used appending s1 = 12574923, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14305466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16292390, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16292390, s2 = 11006696, int(edited[s2]) = 0 s1 = 16292390, s2 = 11006696, d1 = 17, d2 = 1 Dl.O(d1) = 48598010,48598007,48598008,257555560 Dl.O(d2) = 22723343,16518187,11511750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16292390, s2 = 11006696, dlinesl.size( ) = 18 s1 = 15276797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11563235, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16048995, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12718068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3785216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3785216, s2 = 4194572, int(edited[s2]) = 0 s1 = 3785216, s2 = 4194572, d1 = 0, d2 = 9 Dl.O(d1) = 133075059,146302662,158670692,170028181 Dl.O(d2) = 158670691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3785216, s2 = 4194572, dlinesl.size( ) = 2 s1 = 3785216, s2 = 4194572, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 3785216, Dl.E( ) = 14, 8.11e-06 seconds used appending s1 = 11497577, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535423, s2 = 14185465, int(edited[s2]) = 0 s1 = 11535423, s2 = 14185465, d1 = 28, d2 = 44 Dl.O(d1) = 265341636 Dl.O(d2) = 14269027,19922175,26770723,34809229,44145813,49599605,49599607,61047447,65973218,61179902,61179900,73957801,66416130,54243843,43608368,34426909,26501817,26501819,34426914,26503398,26503399,19736871,254320320,26853599,26820629,19956227,14289724,14289726,9821387,6452687,6452615,4045167,4045165,6452661,9821744,14297609,19969163,26764727,27551621,27551622 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535423, s2 = 14185465, dlinesl.size( ) = 12 s1 = 15206273, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15206273, s2 = 5368889, int(edited[s2]) = 0 s1 = 15206273, s2 = 5368889, d1 = 6, d2 = 3 Dl.O(d1) = 148387659,160650294,171838564,171838594,262020785,121371979,121371978,135221347,148387656,148387657,160650293,171838563,171838568,160650297,160650298,262971533,262971535,171838575,160650303,160650304,171838578,171838586,160650309,148387667,260923007,121371975,261488281,160650302,263382403,171838587,170822575,261853112,133903455 Dl.O(d2) = 77712753,64531715,52632856,42247634,42247635,37556251,37556252,42247691,46279187,47090330,48012764,256988245,30255729,22860494,16634134,15433016,15433019,21424906,21424877,21424876,21723219,21723217,29009859,30254781,30254779,38838539,37556093,30254645,30254646,38838410,255558368,28151111,20973031,15062611,15062610,20973029,22884143,22884175,16655440,16655439,22884173,28151167,28151168,30255455,22860240,16633942,11603178,11603177,16633941,22860239,30255452,38839104,48758750,60152803,72888942,259425039,114465931,128342895,141692392,154344443,166093425,176730009,186141212,194342848,201367334,207278481,212152869,216134995,219433992,222220683,222220684,222220685,224612878,226690316,265877605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15206273, s2 = 5368889, dlinesl.size( ) = 2 s1 = 15206273, s2 = 5368889, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15206273, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 15219775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11573481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573481, s2 = 16338396, int(edited[s2]) = 0 s1 = 11573481, s2 = 16338396, d1 = 68, d2 = 85 Dl.O(d1) = 266087902,265830360 Dl.O(d2) = 77296690,64147545,52295220,41954328,268371572,18714139,13320827,11491377,11491376,255000266,30076171,38652775,48568473,59960654,72698660,86296489,86296473,86296474,100259384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573481, s2 = 16338396, dlinesl.size( ) = 44 s1 = 11602297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11602297, s2 = 11493948, int(edited[s2]) = 0 s1 = 11602297, s2 = 11493948, d1 = 11, d2 = 5 Dl.O(d1) = 266520648,265875890 Dl.O(d2) = 226788920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11602297, s2 = 11493948, dlinesl.size( ) = 12 s1 = 12579255, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12579255, s2 = 7534965, int(edited[s2]) = 0 s1 = 12579255, s2 = 7534965, d1 = 48, d2 = 46 Dl.O(d1) = 226638105,228454007 Dl.O(d2) = 267576856 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12579255, s2 = 7534965, dlinesl.size( ) = 24 s1 = 12719008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15277015, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14261034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16396323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14138183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138183, s2 = 11426850, int(edited[s2]) = 0 s1 = 14138183, s2 = 11426850, d1 = 29, d2 = 1 Dl.O(d1) = 264697811 Dl.O(d2) = 183724642,174028067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138183, s2 = 11426850, dlinesl.size( ) = 32 s1 = 11645545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14261254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12720384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15221092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15221092, s2 = 14306055, int(edited[s2]) = 0 s1 = 15221092, s2 = 14306055, d1 = 0, d2 = 0 Dl.O(d1) = 49387542,39459225,39459224,257613215,73535734,78577670,65282316,53290602,42835501,37351907,37351909,29223203,29223201,32802397,32802396,38168933,48081790,42729283,33699559,33699558,42729281,53178715,50586766,44537279,35160704,35160703,30877322,23446989,23446990,30689673,28931909,21654459,21654457,26129084,19434174,13905862,9543551,6261480,6261481,9543553,255296479,256173671,43025597,42835522,33799545,25986156,25986155,33799542,42835516,53290619,257316990,47380632,37784962,29223142,29223141,257194740,71842881,59104003,47705824,44537203,44537201,42729369,42729368,53178792,65163478,58492791,255334206,53178812,53178762,47705902,47705903,47705880,47705879,59104062,49412403,49412402,60812568,55383206,55383205,55383228,55383229,65282323,59104105,47705919,42729259,33699551,33699553,42729269,43025582,35160553,35160552,44537024,53290629,44537043,35160558,27074015,27074016,35160559,44537046,257316920,47717358,269639150,85437758,99378851 Dl.O(d2) = 49387542,39459225,39459224,257613215,73535734,78577670,65282316,53290602,42835501,37351907,37351909,29223203,29223201,32802397,32802396,38168933,48081790,42729283,33699559,33699558,42729281,53178715,50586766,44537279,35160704,35160703,30877322,23446989,23446990,30689673,28931909,21654459,21654457,26129084,19434174,13905862,9543551,6261480,6261481,9543553,255296479,256173671,43025597,42835522,33799545,25986156,25986155,33799542,42835516,53290619,257316990,47380632,37784962,29223142,29223141,257194740,71842881,59104003,47705824,44537203,44537201,42729369,42729368,53178792,65163478,58492791,255334206,53178812,53178762,47705902,47705903,47705880,47705879,59104062,49412403,49412402,60812568,55383206,55383205,55383228,55383229,65282323,59104105,47705919,42729259,33699551,33699553,42729269,43025582,35160553,35160552,44537024,53290629,44537043,35160558,27074015,27074016,35160559,44537046,257316920,47717358,269639150,85437758,99378851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15221092, s2 = 14306055, dlinesl.size( ) = 2 s1 = 15221092, s2 = 14306055, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15221092, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14306056, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12721692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14974785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15944478, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12722072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7076513, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11280677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280677, s2 = 11446336, int(edited[s2]) = 0 s1 = 11280677, s2 = 11446336, d1 = 0, d2 = 4 Dl.O(d1) = 114447814,128324418,141674094 Dl.O(d2) = 186125611,194328465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280677, s2 = 11446336, dlinesl.size( ) = 18 s1 = 12722864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12723022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13915901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12723656, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12589589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11506453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11506453, s2 = 14331588, int(edited[s2]) = 0 s1 = 11506453, s2 = 14331588, d1 = 25, d2 = 7 Dl.O(d1) = 219751205,264949788,224057418,221597612,218733442 Dl.O(d2) = 206207750,273697509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11506453, s2 = 14331588, dlinesl.size( ) = 30 s1 = 11597025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597025, s2 = 11561018, int(edited[s2]) = 0 s1 = 11597025, s2 = 11561018, d1 = 17, d2 = 7 Dl.O(d1) = 239689088,239715908,274803657,237801236,266742186 Dl.O(d2) = 237037780,236202676,266343812,233175593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597025, s2 = 11561018, dlinesl.size( ) = 38 s1 = 11016441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016441, s2 = 11459490, int(edited[s2]) = 0 s1 = 11016441, s2 = 11459490, d1 = 60, d2 = 75 Dl.O(d1) = 257423617,70888872,259284831,260464130,98355670,84446047 Dl.O(d2) = 199850553,205996403,211077638,205996399,199850552,192579897,184130384,174482726,262140085 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016441, s2 = 11459490, dlinesl.size( ) = 64 s1 = 10994323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10994323, s2 = 11401236, int(edited[s2]) = 0 s1 = 10994323, s2 = 11401236, d1 = 5, d2 = 0 Dl.O(d1) = 267784639,1464139,2541305,4250908,6781463,10310324,9058259,9058258,8133573,254831285,268247361,101238829,115317235,260689927,115317232,129245350,142615357,142615358,155250914,166934500,155250921,261264613,129245352 Dl.O(d2) = 142615361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10994323, s2 = 11401236, dlinesl.size( ) = 6 s1 = 16323302, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11223833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223833, s2 = 11168452, int(edited[s2]) = 0 s1 = 11223833, s2 = 11168452, d1 = 43, d2 = 29 Dl.O(d1) = 270322650,255584041,16169247,12587164,8539485,8539484,12587162,16530388,16530389,17834505,255194925,12569620,268118013,8548267,8548268,11235520,8612264,5597631,5597630,7012391,7012392,254414311,2013755,2013756,2034390,3418724,5505267,3394134,2000498,2000494,3394129,5505262 Dl.O(d2) = 66916878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223833, s2 = 11168452, dlinesl.size( ) = 20 s1 = 11125365, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11546651, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11123967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11104053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11104053, s2 = 13281975, int(edited[s2]) = 0 s1 = 11104053, s2 = 13281975, d1 = 7, d2 = 9 Dl.O(d1) = 268030694,12851937,8739616,5689642,5689643,5662172,5662171,8698883,12794915,15366144,21337556,24468791,257120463 Dl.O(d2) = 269887306,70805203,61998484,50506929,40471459,40471458,50506931,44347681,44347682,55198207,44347676,44347675,36621086,28147227,20968820,20968819,21171219,15212671,10529145,6944082,4363937,4363933,6364316,6364311,6364287,6364173,3993170,3993155,3993154,6364153,9676606,14070640,10560839,6965518,4376121,2621231,1513054,1513052,2621218,4376083,6965462,10560763,9981639,6560612,6560610,9981631,12068669 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11104053, s2 = 13281975, dlinesl.size( ) = 8 s1 = 11088499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088499, s2 = 11047478, int(edited[s2]) = 0 s1 = 11088499, s2 = 11047478, d1 = 12, d2 = 2 Dl.O(d1) = 260040637,87956284,257209010 Dl.O(d2) = 40076408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088499, s2 = 11047478, dlinesl.size( ) = 8 s1 = 12590495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12590495, s2 = 14306523, int(edited[s2]) = 0 s1 = 12590495, s2 = 14306523, d1 = 0, d2 = 0 Dl.O(d1) = 33850010,26029107,19352030,19352029,26029105,33850006,42894767,53360765,59138958,53360760,53360761,47740365,37817980,29252700,26731610,26731611,30403446,30403443,30403444,31830314,24312451,24312452 Dl.O(d2) = 33850010,26029107,19352030,19352029,26029105,33850006,42894767,53360765,59138958,53360760,53360761,47740365,37817980,29252700,26731610,26731611,30403446,30403443,30403444,31830314,24312451,24312452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12590495, s2 = 14306523, dlinesl.size( ) = 2 s1 = 12590495, s2 = 14306523, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12590495, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14306524, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11028309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4011062, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11169815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11169815, s2 = 7033486, int(edited[s2]) = 0 s1 = 11169815, s2 = 7033486, d1 = 33, d2 = 53 Dl.O(d1) = 267782970,20159728,20159727,27053103 Dl.O(d2) = 261647594,188341968,179292607,169007841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11169815, s2 = 7033486, dlinesl.size( ) = 28 s1 = 10481796, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16354406, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16354406, s2 = 2810035, int(edited[s2]) = 0 s1 = 16354406, s2 = 2810035, d1 = 78, d2 = 63 Dl.O(d1) = 15219493,10498367,6922697,6922698,6922879,7140465,7140466,7751512,11635451,16670105,22900711,255173828,256014368,39310007,30712341,23295862,17036093,17036097,18540029,13173527,13173529,15593932,15593931,19133092,19133091,14946383,14946385,15593554,15593555,21624169,254642144,36446237,254641572,268021474,17333777,14923355,14923354,20821128,27985973,21885142,15808884,10954960,7250649,7250650,10954968,254705630,5983795,3741672,3741670,5983793,9144028,13378370,18783777,25367487,33002331,25277386,18704865,18704864,254297096,18881724,18881723,25484480,33233139,25488873,25488874,31782142,24269406,24269405,30871587,23442957,23442956 Dl.O(d2) = 41312802,255179790,38817018,31394951,31394952,33329943,28483476,21266636,15304916,12065371,12065374,17060386,12254324,12254326,17389720,23326432,23715534,17391684,14449309,9940672,6533555,4093773,2449216,2449217,4093776,6533561,9940688,12385120,8369101,8369098,12385108,12385135,8369404,6584041,5397961,5397959,3319242,1952601,1115629,626122,626124,1115637,909101,909099,1598976,2758152,4584376,7269507,8383161,8383165,5409887,3325644,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366809,8375872,5405565,5405568,5385194,5385196,8280949,12262036,8384818,8384813,12406280,17554591,12384100,8368459,8368460,12384102,17554595,21239078,18889115,13461007,9205372,6026685,3770342,2259065,1311215,748639,748638,1311214,2259063,3770337,6026674,9205356,13460993,18889097,25493733,33244131,42205709,52566201,258408557,77609690,64441441,52566204,52566203,64441439,64441436,52566200,52566201,258408557,77609690,64441441,64441440,77609689,261442199,133860007,119994575,105761232,91539004,77609686,77609687,91539006,105761231,91539004,91539005,260279039,119994576,133860009,147102871,159476126,170813144,180939670,189824365,184618312,175018688,164204137,152321885,139593528,260125738,98378834,84470161,70914364,58201824,46835755,36957522,36957523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16354406, s2 = 2810035, dlinesl.size( ) = 30 s1 = 11015713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11015713, s2 = 8143054, int(edited[s2]) = 0 s1 = 11015713, s2 = 8143054, d1 = 51, d2 = 125 Dl.O(d1) = 10345649,10345651,13296376,10317720,10317721,10346785,9712772,6389918,6389919,6815298,10350485,10297616,6770378,5940502,5940501,9082640,9988893,9988890,6818660,4277227,4277229,6818666,5934085,5934084,9074121,10330595 Dl.O(d2) = 85451756,81171870,67706399,55366793,269366586,85693297,85693298,99642250,99392550,99392549,91968068,91968069,100821019,86839725,85451776,85451775,85451886,71866977,59128637,59128638,47730084,47730085,59128689,52262503,52262502,59375104,72107575,85693276,99642240,271766701,85451854,85451855,257430418,59375156,258118323,85451980,73178296,73178294,84533792,70971279,59375108,47985079,38072751,29508783,22168148,16045019,16045018,22168146,29508777,38072735,47985051,59374913,47984895,38072633,255890111,16045004,11140879,11140878,16045001,22168115,29508724,38072628,47984887,59374904,58255389,50160223,50160222,46888796,37009930,28511275,28511274,37009927,46888791,58255683,257436086,29508739,28687412,28687411,37211825,47108620,58486685,71208368,78041132,64844146,52919153,52919154,256312782,38072664,38072665,47984934,58255668,268443020,47984936,47984935,46888497,46888498,58255376,70970965,59374938,59374937,257473810,72107460,72107471,85693220,91495115,85693225,72107481,59375059,59375058,72107549,85693210,72107453,72107454,85693211,77564085,258040196,64844201,64844202,268915872,64844337,64395746,52521892,42163650,42163651,52521896,52919319,52919320,64844292,64395736,52521884,52521883,64395734,64844075,52919082,52919081,64844072,78041092,91968020,78041200,72107489,72107490,77564047,77564046,72107484,59374972,59374973,64395798,64395797,77564094,84533656,77564027,64395730,64395729,77564026,78041143,78041142,78041150,91968048,106165973,91968025,91968026,85693248,85693247,78041211,64844271,64844269,256851922,77564039,74477560,64844143,52919150,52919149,42509338,42509339,52919174,42509512,33510101,25731113,25731112,33510097,42509331,52919162,257660490,64844247,52919272,42509502,42509501,52919372,64395715,64844218,59374978,52919218,52919219,52521865,52521866,52919418,52919416,64844360,64844129,52919137,42509321,42509320,42509350,42509279,42509278,52919066,52919102,64844090,64844016,52919015,52919016,52919335,42509464,33510074,33510075,42509467,42509336,33510011,25731079,19098824,13635748,9337160,6115939,6115940,9337164,13635759,19098843,25731117,33510107,42509522,52919398,64844094,64844093,64844317,64844022,52919020,52919021,42509399,33510040,33510039,42509380,52919223,52919411,42509558,42509557,42509481,33510084,33510083,42509478,52919131,52919189,52919075,257473806,42509251,33509956,25731049,19098807,19098808,256148989,42509261,257222201,33510135,25731131,19098848,19098847,25731127,256665631,52919406,42509542,42509543,52919404,52919392,42509517,33510104,33510103,42509444,52919197,52919119,42509549,33510123,33510122,42509545,33936612,33936610,42990902,53466032,53465537,52919433,42509579,42509578,52919431,53465752,53465750,64844011,65486735,64844029,52919030,52919031,53465501,53465499,42990381,42990382,33936607,33936605,42990898,53465472,42990251,33935839,26101877,19411796,19411797,26101879,33935841,42990257,42990333,42990332,33936541,26102538,19412297,19412298,26102542,33936549,33935901,33935902,26101960,26101961,33510142,33510138,26102144,26102143,19412327,19412326,26102483,26102609,26102607,26101874,19411794,19411793,26101870,33935828,26102324,19412151,13888162,254670111,6251542,9529671,13888166,19411643,13887859,9529591,6251496,3913819,2343060,1357327,1357326,2343058,3913817,6251491,268035753,255703075,26101895,19411805,13887957,9529560,9529548,6251478,3913810,3913811,6251482,9529557,13887952,19411791,26101866,33935826,42990244,33936102,26102141,19411986,13888062,9529618,6251508,3913825,2343063,2343064,3913826,6251511,9529623,13888078,19411743,19411742,26101807,26101839,21354914,15378041,10626677,10626678,13888182,9529683,6251549,3913841,3913842,254670113,13888185,19412190,26102377,26102201,256171653,33936116,269313902,255703103,13888158,9529669,9529668,13887907,254334570,10623353,15373923,21349867,19412239,13888207,13888206,9529697,9529698,13888218,19412256,255828138,26102353,256171673,257248339,50870104,40755085,32000095,24441277,24441278,32000036,24441258,18025393,18025392,24441256,32000063,40755056,257034528,256568223,24441295,18025410,12775762,8684126,8684125,12775761,18025407,24441289,32000110,40755096,257034526,42990731,33936386,33936387,42990733,53465864,257841381,258819558,86878674,269838090,50870009,40754976,40754977,50870012,62468275,75384283,73266655,62468371,62468372,75384366,89129412,84622944,71059438,58343233,50870157,50870158,62468418,64844003,52919005,42509243,42509241,52918998,55400053,44553475,35175985,35175984,257318217,67739048,75675997,62729668,59335659,47943646,38029658,29467103,22131912,16016741,16016742,22131915,29467117,38029678,47943665,59335682,50452374,50452375,46906011,46906010,51668742,51668734,51668735,63412034,63010817,63010816,59521926,48134847,38224781,29658635,22306576,16160229,16160230,22306580,29658645,38224794,44593381,44593382,55443567,48069666,256856082,38157194,29591029,22242665,16106265,16106266,22242667,24219411,17849117,17849116,24219405,31726051,37028745,37028747,33249966,33249967,42212040,52572776,46905913,37028785,28530776,21308293,15338506,10594147,6988949,6988950,10594151,15338515,21308319,28530829,37028863,46906059 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11126385, s2 = 16200536, int(edited[s2]) = 0 s1 = 11126385, s2 = 16200536, d1 = 6, d2 = 14 Dl.O(d1) = 50682078 Dl.O(d2) = 112993414,126847141,112993425,99004183,257773450,58777346,47390178,37482557,37482556,39221268,40172080,31487025,256533167,31487023,31487022,40172073,46786864,46786863,58154344,70868455,60747716,49344597,49344596,60747713,60747719,73496587,63867309,63867310,73496595,76978529,90856975,101113327,99004154,258126792,71506634,73496548,87115250,90856969,84425909,84425908,258648876,76978524,76978523,85078677,99004159,101113278,270321592,101113275,257517286,73496594,73496534,60747667,49344570,39414948,30809741,255460136,49344572,60747671,73496542,87115238,258750224,87115269,73496559,60747685,49344579,49344577,60747679,73496551,87115256,85812190,72218220,72218219,85812186,99765999,113779968,259375222,112993401,113779951,127647812,140995708,140995700,140995701,142500611,142500612,261169732,155144885,153661767,140995725,127647822,113779959,99765991,99765990,113779957,127647817,140995721,140995692,127647785,259993188,115191387,112686168,112686169,126548623,139912045,140995704,136182614,122218065,107811994,107811995,122218067,136182618,147094421,147094422,261717978,159468599,147094398,142500596,142500595,147094412,133850396,119984145,119984146,133850399,133850377,119984119,105749508,105749507,112686156,126178806,119984135,105749524,105749525,119984137,133850379,133850411,119984163,119984164,133850414,261776776,133850388,119984182,260054634,91525865,105749560,119984150,119984149,133850402,133850406,133850404,119984156,105749535,91525849,91525850,105749538,119984161,119984172,112686170,98691806,98691807,98691800,98691799,112686162,112686165,119984192,133850421,119984189,119984188,119984186,105749561,91525869,91525841,91525839,105749500,105749503,91525813,77594762,64426152,52552187,42193660,42193659,52552185,64426150,77594759,77594841,77594842,91525832,77594819,64426182,52552201,52552202,64426183,77594821,91525881,91525885,91525886,87115280,87115281,91525883,105749571,115191440,119984116,110886335,96837852,91525911,91525912,91525909,82894330,82894329,91525802,77594757,77594758,77594827,71506675,58777358,47390191,47390190,58777356,71506670,64426174,52552197,52552196,258407595,69373098,69373099,73496574,60747701,60747702,73496576,64426205,52552214,42193673,33233615,25484854,18881987,18881986,25484853,33233614,257202055,45634641,56795778,56795762,56795763,69373071,82894339,96837845,259690202,133850373,119984115,105749491,91525805,77594799,77594747,77594748,77594836,91525872,77594805,77594806,77594851,87115277,73496567,60747691,49344582,49344583,60747693,257360557,35967514,27655753,20597217,254991865,10159830,14772765,20597215,27655750,256787307,56795750,69373059,82894326,96837833,110886331,98129533,84234632,70681573,57963087,57963088,70681574,84234635,98129536,260489747,139272955,151979695,163848548,174666372,184289666,192709669,199950691,206069128,211127151,215263711,218675185,221550145,224016859,226155230,228016482,229649829,231099540,265990698,228016481,226155227,224016858,221550142,218675184,215263709,211127150,206069126,199950690,263529268,184289665,174666370,163848547,151979693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11126385, s2 = 16200536, dlinesl.size( ) = 30 s1 = 11534315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534315, s2 = 883121, int(edited[s2]) = 0 s1 = 11534315, s2 = 883121, d1 = 13, d2 = 7 Dl.O(d1) = 265144424 Dl.O(d2) = 258707530,257473836,37575765,29911571,22554569,22554568,29911567,38469353,270328261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534315, s2 = 883121, dlinesl.size( ) = 18 s1 = 12252323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12252323, s2 = 11092554, int(edited[s2]) = 0 s1 = 12252323, s2 = 11092554, d1 = 0, d2 = 12 Dl.O(d1) = 19546353,26266792,22654723,22654724,30028440,38601683,48516398,53818424,47999509,38087802,255189232,17828921,12624184,8570285,8570286,12624174,17828908,267844014,8308037,254278016,23747976,17422543,17422542,23747974,22181821,16055429,16055428,254277194,12551439,8510175,5510394,3398573,3398572,5510393,5350332,3288331,1933768,1104552,1104550,1933761,3288314,5350308,8293188,12279781,17422437,254611990,25886729,19226697,13734830,254278764,24085048,24085047,23740459,17416207,17365539,12234493,8261097,5329759,3276056,1926940,1926941,3276058,5329763,8261104,268437217,39858144,42676837,33647290,33647291,42676839,53127562,65112826,257087086,42676796,33647252,25843624,19189404,19189405,25843627,33647222,25843607,25843608,33647225,42676757,53127493,48199335,38289952,31814652,24299174,24299170,256557111,37185372,37597662,34129343,256700917,42676717,33647203,255690325,19189378,19189202,13704578,9386493,9386492,6149495,6149494,9386513,7391863,4669964,4669963,6149578,254663069,9386455,6149452,3847980,3847984,6149456,9386418,267843336,6149587,3848071,267780407,764264,764266,1337966,1337965,2305739,3848052,6149558,256673917 Dl.O(d2) = 256005380,21249158,21249157,23435924,23435925,25574214,18965539,18965541,21751734,15698517,10867424,7185226,4526656,2721076,2721077,4526661,7185241,10867439,15698539,18955990,254927135,9251516,13519567,15258641,10527295,6942938,4363351,2614869,1510037,856411,483702,254119673,1510038,2614871,4363356,6942944,10527303,12380612,12380613,12255036,8276493,8276494,6058810,6058809,4363260,2614824,1510018,1510022,2614837,4363285,6942819,4376706,2621506,2621505,4376700,6966511,10548645,7842546,7842547,11746446,12147482,8177093,8177091,6950070,6053302,3787939,3787938,3793912,3793908,4450318,3792625,3792629,6059211,6059215,6060504,6067344,6067343,9263449,6965040,6965041,10558686,254853686,21213280,15279150,15279148,21245659,18401314,18401315,24905214,21878043,18973082,13538038,13538039,18973083,21473372,21473373,28730795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12252323, s2 = 11092554, dlinesl.size( ) = 8 s1 = 11249199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249199, s2 = 10177746, int(edited[s2]) = 0 s1 = 11249199, s2 = 10177746, d1 = 45, d2 = 38 Dl.O(d1) = 258657350 Dl.O(d2) = 128286491,117708728,103576485,89479873,75715665,62767423 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249199, s2 = 10177746, dlinesl.size( ) = 30 s1 = 11155871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155871, s2 = 11112846, int(edited[s2]) = 0 s1 = 11155871, s2 = 11112846, d1 = 25, d2 = 20 Dl.O(d1) = 260715285 Dl.O(d2) = 258709212 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155871, s2 = 11112846, dlinesl.size( ) = 36 s1 = 11168657, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11116581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116581, s2 = 9337683, int(edited[s2]) = 0 s1 = 11116581, s2 = 9337683, d1 = 31, d2 = 35 Dl.O(d1) = 48204748,38295502,38295501,48204747,38382146,38382147,256410663,29809986,38382164,30604532,30604530,39200980,31141843,31141844,39824480,49848296,61331662,258142476,258945839,62598389,50978103,50978102,62598388,61606083,50126038,40105837,40105836,50126036,50126033,50126034,40105839,40105838,50126039,258267213,59488691,258049294 Dl.O(d2) = 84961889,258201946,49133517,49133516,53910040,43385847,256429790,65976890,258162762,61533592,61533575,61533576,74310903,87914682,74310893,61533561,50054386,40034456,31354433,23860774,23860775,31354437,40034463,50054399,60055812,48659273,38737990,256284446,255370680,11537757,16553231,22767113,30155435,38737989,48659271,50054419,40034476,256017359,17517137,12352657,8345755,5386676,3312398,3312397,5386674,8345753,12352656,17517135,23860778,31354445,38737983,48659264,48160431,48160430,59547343,61533574,61533573,74310901,86389961,72794252,60055789,48659258,48659259,60055791,72794256,86389968,87914729,87914728,79341310,65976902,65976901,79341309,93473664,107905871,122326701,129834765,260719369,270903459,87914718,101888946,115935171,101888951,87914722,74310934,61533607,50054426,40034486,268996205,61533602,74310926,87914705,87914696,87914697,101888915,115935136,129834722,143166279,155720154,167354298,155720175,143166310,143166311,155720172,143166309,129834749,261291939,115935165,129834746,143166304,155720169,155720165,155720166,154256563,261615980,260484266,100347066,114371443,128248924,141600104,154256562,166009503,166009526,166009525,154256637,154256638,262623402,141600176,141600177,154256659,166009595,176650611,166009619,154256675,141600189,141600190,141600178,128248989,128248990,128248959,114371471,100347089,100347088,114371469,128248956,141600145,154256617,166009552,154256619,141600146,141600147,154256620,166009555,176650578,186066640,264239355,194274313,186066648,263571501,263038050,262095774,147020605,159401458,170748983,170012804,158654324,158654323,170012802,180179366,170012817,166009591,166009592,176650609,263172812,262623404,141600210,141600209,146286030,133058427,119228218,105035600,90856652,90856653,105035587,119228199,133058398,146285929,146285930,146286034,133058429,133058412,133058411,146286013,158654320,164550309,164550310,158654246,151422821,138727610,260534891,112801077,126659863,119228162,119228161,126659850,126659851,126659869,112801081,98808225,84879315,71304775,71304776,84879317,98808228,112801086,126659875,140014978,261566396,126659881,119780901,111895367,97957724,97957725,105547717,119780900,119780902,123812251,111605409,97687154,91443443,77513562,74575063,61790594,61790595,71304760,58572817,47184146,47184145,58572815,47184151,47184150,40288767,31604981,24102117,24102116,31604979,40288763,37278216,37278215,42122710,42122711,52477850,52477838,42122703,33166318,25423702,255259867,13416397,18830640,25423709,33166326,42122714,50437664,61928202,259028503,64348017,64348016,77513573,86667658,73062340,60321221,60321222,258810475,100640908,86667682,86667680,74148330,74148331,77513571,64348013,64348014,73062338,73062312,73062313,73062310,60321176,258787190,49887486,61368016,74148334,77513557,64347991,64347992,73062324,73062297,73062296,73062342,60321223,60321161,48922616,38998728,256998809,269833603,86667651,73062343,73062302,60321169,268964035,30409734,23004970,16765476,11718312,11718313,16765478,23004972,30409738,38998745,48922620,49887476,39865375,39865374,48922649,48922651,60321189,60321190,60321191,61368012,52648128,271045133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116581, s2 = 9337683, dlinesl.size( ) = 8 s1 = 11320039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14306580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11249973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249973, s2 = 11480584, int(edited[s2]) = 0 s1 = 11249973, s2 = 11480584, d1 = 20, d2 = 37 Dl.O(d1) = 86462231 Dl.O(d2) = 262198919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249973, s2 = 11480584, dlinesl.size( ) = 26 s1 = 12591291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15298032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11219455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11219455, s2 = 14164502, int(edited[s2]) = 0 s1 = 11219455, s2 = 14164502, d1 = 6, d2 = 34 Dl.O(d1) = 86967781,100951962,115006141 Dl.O(d2) = 259762325,80313947,66884869,54627371,43885005,256723167,26624738,19814227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11219455, s2 = 14164502, dlinesl.size( ) = 10 s1 = 11383999, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11383999, s2 = 11179410, int(edited[s2]) = 0 s1 = 11383999, s2 = 11179410, d1 = 19, d2 = 11 Dl.O(d1) = 261263169,101223532,87222660 Dl.O(d2) = 257037259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11383999, s2 = 11179410, dlinesl.size( ) = 20 s1 = 11181561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11292403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292403, s2 = 15316186, int(edited[s2]) = 0 s1 = 11292403, s2 = 15316186, d1 = 41, d2 = 33 Dl.O(d1) = 261085819 Dl.O(d2) = 226115011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292403, s2 = 15316186, dlinesl.size( ) = 8 s1 = 11456925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11456925, s2 = 8700190, int(edited[s2]) = 0 s1 = 11456925, s2 = 8700190, d1 = 51, d2 = 53 Dl.O(d1) = 263303950 Dl.O(d2) = 263556207,194045324,185811661,176371133,165706281,165706280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11456925, s2 = 8700190, dlinesl.size( ) = 48 s1 = 11151067, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11155245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11477131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12724774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11218207, s2 = 11531226, int(edited[s2]) = 0 s1 = 11218207, s2 = 11531226, d1 = 7, d2 = 36 Dl.O(d1) = 86696815 Dl.O(d2) = 265177798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11218207, s2 = 11531226, dlinesl.size( ) = 30 s1 = 11412397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412397, s2 = 11211498, int(edited[s2]) = 0 s1 = 11412397, s2 = 11211498, d1 = 6, d2 = 12 Dl.O(d1) = 263121466 Dl.O(d2) = 260555792,259336848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412397, s2 = 11211498, dlinesl.size( ) = 8 s1 = 11164251, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164251, s2 = 11212046, int(edited[s2]) = 0 s1 = 11164251, s2 = 11212046, d1 = 12, d2 = 10 Dl.O(d1) = 255912912,255854214,29576812,29576811,38143411,36800153,28303221,28303220,29744568,22385401,22385399,22229463,22229462,27233997,35356652,36801253,35356630,32788057,25090338,18544836,13176728,8982032,5864012,3660974,3660975,5864017,8982046,13176754,18544884,18542534,18542533,25087270,18543839,13176142,13176141,18543833,13176500,13176502,18544451,19365931,13852200,13852199,19365926,26045076,33867182,35356103,35356102,44780421,47324658,37641085,37641084,31659799,24149363,17782385,17782384,24149361,31659795,28309013,21099077,21099076,16957532,15229082,10505162,10505160,15229089,21192380,22972978,16736455,11692997,11692994,16736449,15490469,10711931,7076719,4455258,4455256,7076709,10711910,15490434,17328817,17328818,23645696,17580675,12408651,12408649,15157542,15229142,15229143,21192445,21541766,21541765,21521270,15509582,10726286,7086890,7086887,10726272,15509567,12171899,12171897,17293028,23605989,23029189,16786523,16712391,11737111,254167806,21630529,21630530,255434582 Dl.O(d2) = 256906346,71832667,71832666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164251, s2 = 11212046, dlinesl.size( ) = 8 s1 = 11011469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011469, s2 = 8762056, int(edited[s2]) = 0 s1 = 11011469, s2 = 8762056, d1 = 53, d2 = 37 Dl.O(d1) = 254623670 Dl.O(d2) = 214089332 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011469, s2 = 8762056, dlinesl.size( ) = 50 s1 = 11229373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11172363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172363, s2 = 8741281, int(edited[s2]) = 0 s1 = 11172363, s2 = 8741281, d1 = 20, d2 = 26 Dl.O(d1) = 270275713 Dl.O(d2) = 273804151,264654165,214268731,209879264,204524554,204524513,198101335,190562478,181828454,181828453,190562475,190562486,181828458,181828457,190562481,190562443,190562444,198101302,204524493,209879211,209879237,204524520,198101327,198101328,204524522,204524572,198101371,198101372,204524576,204524567,204524569,198101379,190562513,190562514,198101382,264654167,265114749,214268701,264424502,198101308,198101309,264385877,204524482,198101295,198101294,198101304,190562503,190562505,198101363,204524563,204524582,209879283,214268742,209879272,204524578,204524580,204524487,204524486,209879200,209879265,209879251,209879252,209879245,204524540,198101345,190562489,181828461,171864945,160679394,262516979,263383381,273677330,181828461,171864945,160679394,148418611,135252226,121400855,121400854,135252225,148418609,262516977,171864933,181828428,171864946,262088538,148418612,160679395,171864949,181828435,181828433,190562444,198101302,204524493,209879211,209879237,204524520,198101327,198101328,204524522,204524572,198101371,198101372,204524576,204524567,204524569,204524587,209879283,214268742,209879272,204524578,204524580,204524487,204524485,204524553,209879262,214268729,217872688,217872662,217872661,217872691,214268732,214268723,209879257,209879227,204524511,198101319,190562460,181828445,181828446,190562465,198101323,198101337,190562478,181828454,181828453,190562475,190562486,181828458,181828457,190562481,190562443,190562444,198101302,204524493,209879211,209879237,204524520,198101327,198101328,204524522,204524572,198101371,198101372,204524576,204524567,204524569,204524587,209879283,214268742,209879272,204524578,204524580,204524487,204524485,204524553,209879262,214268729,217872688,217872662,217872661,217872691,214268732,214268723,209879257,209879227,204524511,198101319,190562460,181828445,181828446,190562465,198101323,198101337,190562478,181828454,181828453,190562475,190562486,181828458,181828457,190562481,190562443,190562444,198101302,204524493,209879211,209879237,204524520,198101327,198101328,204524522,204524572,198101371,198101372,204524576,204524567,204524569,204524587,209879283,214268742,209879272,204524578,204524580,204524487,204524485,204524553,209879262,214268729,217872688,217872662,217872661,217872691,214268732,214268723,209879257,209879227,204524511,198101319,190562460,181828445,181828446,190562465,198101323,198101337,190562478,181828454,181828453,190562475,190562486,181828458,181828457,190562481,190562443,190562444,198101302,204524493,209879211,209879237,204524520,198101327,198101328,204524522,204524572,198101371,198101372,204524576,204524567,204524569,198101379,190562513,190562514,198101382,264654167,265114749,214268701,264424502,198101308,264654159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172363, s2 = 8741281, dlinesl.size( ) = 12 s1 = 14306644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14306644, s2 = 11240598, int(edited[s2]) = 0 s1 = 14306644, s2 = 11240598, d1 = 14, d2 = 13 Dl.O(d1) = 16938988,23210771,257595783,15471548,15471549,15471614,21243792,21243791,28455371,28455372,28472297,28461808,21237926,15269629,13530049,267999006,15469979,15469978,12120845,12120844,255543893,17161204,12064791,12064792,8373185,8373184,12390456,17561325,15473044,15473043,21270440,255537663,17159074,23434620,27040926,20147844,20147843,17152503,15470794,10697700,10697699,15470729,10697649,7067471,4449719,4449716,6548532,4102481,4102477,5200104,4450343,4450345,5198679,8114638,6061175,6061173,9254684,6061111,6061114,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700257,10700260,13514325,10842532,10842536,9247323,9247320,12492361,12409103,10700632,7069538,7069537,10700626,15474224,15474222,18933554,13498087,13498088,18933562,14448310,9939909,9939911,14448317,17150393,17150390,21250278,15297696,15297695,255747405,14446856,9938793,9938794,14446858,20140920,23427098,23432184,268256456,18959574,13523573,9254957,9254958,10532712,15265067,10557910,10557911,10557925,10554918,10554920,15289669,16618198,11591769,8107268,8107267,12057960,12388849,13531030,10701106,8106939,5194056,5194054,8106934,12057585,17154145,17471184,12317496,12317498,17151089,17160943,15294148,10558696,10558697,15294153,21232933,17152849,12056314,12056315,11914679,7970027,7970028,9106315,9106313,13327594,13501441,10698019,7067745,4449883,2673362,1548618,880412,496763,278499,153621,153622,153630,153627,278515,496804,880500,1548797,2673696,4450519,7068749,10697163,7067093,7067053,4449503,2673228,2673229,4449634,7067315,6952144,4368386,4368387,5403727,3322275,1954100,1116343,1116345,1954106,3322284,5403746,8372915,12062239,9252252,9252251,10698574,15257643,15257644,10699327,7068613,255037833,13514569,254404220,20872984,254404218,6775003,7914740,7914739,6771832,4244464,4244463,6771829,10299141,14966803,15588325,10783609,10783610,13319657,13319658,13319676,9099808,5953820,5953821,9099811,13319681,18713031,254643672,33010778,25285833,25285832,33010776,33520216,30105784,22724405,16519196,16519198,12586098,8538496,8538495,11340227,11340226,15588246,10783554,10783553,14929680,15588192,18728165,20839546,20839545,15589250,12737597,8655560,5629947,5629946,8655554,12737584,17974125,24371815,27992842,21623946,15593376,10787211,10787212,15593378,16523111,11515349,7660042,7660041,11515347,16522967,16522968,11515895,7660410,4846722,2920544,1694109,963323,542866,542868,963327,1694120,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090218,13308946,13308785,10051225,10045402,7656219,4844484,2919465,1693622,1693621,2919456,4844454,7656154,11508876,12208684,12208683,17334069,22768953,22768954,262746077,262812344,186635138,186635137,264543039,194755885,186635142,262779557,166750769,177308562,186635145,194279372,263240518,263974046,264563884,264284460 Dl.O(d2) = 177308564,166750770,155051323,155051322,166750769,177308562,186635145,194279372,263240518,263974046,264563884,264284460,201704962,264543041,216324184,219597486,222362916,222362919,219597490,264563882,201704977,194755889,186635146,177308564,166750770,155051323,262547444,11965153,17056286,23321559,255632262,11965210,8009391,5098657,3094671,3094673,5098663,254821055,15768682,10921007,10921008,15768685,15772206,10926453,7227761,4554855,2738360,254162483,508736,508740,901981,1586706,2738399,4554908,4556895,7230025,7223443,7223442,7224657,254342683,1586749,1586748,2738452,4554971,7227909,10921109,7223019,7223020,255057213,7220969,4549634,2734836,1584676,900902,900901,903152,509375,509376,254162433,901467,1585720,2736735,4549892,268215893,22363087,18718885,13325058,13325057,18718883,25292691,26407934,33236834,33236835,28290193,21083752,15144478,15144480,15220413,268378835,34567554,26581208,19778108,14166544,14166543,13102341,13102340,18444680,17797501,12597968,12597967,15486176,13102278,13102277,9994621,9994619,14166597,14166599,14166585,14166588,16197054,11259214,11259218,16197071,22346826,26426617,28414717,27025877,20133657,17562323,12391345,12391344,17562316,15825247,15825246,255077608,37783232,269800173,71898352,85483243,259904744,47761876,256370143,29273150,37839418,29412675,22082221,15976455,11090735,11090734,15976453,22082217,16919660,16919661,23185570,17773619,17773620,15601276,10792868,7130648,7130649,8919671,8919672,255236137,23881248,23881247,30063119,22685566,22685567,256428217,29273364,26959795,20076122,20076123,259784015,123574868,262574211,264420197,214871735,218340063,264954518,210656192,213829633,209341523,263486134,217512051,264719856,227416336,227804276,274086238,264954520 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14306644, s2 = 11240598, dlinesl.size( ) = 12 s1 = 3670583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3670583, s2 = 3422096, int(edited[s2]) = 0 s1 = 3670583, s2 = 3422096, d1 = 20, d2 = 21 Dl.O(d1) = 127217264,113358887 Dl.O(d2) = 113358889,127217262,259963365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3670583, s2 = 3422096, dlinesl.size( ) = 2 s1 = 3670583, s2 = 3422096, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 3670583, Dl.E( ) = 24, 1.29e-05 seconds used appending s1 = 11036319, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11114319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11236717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236717, s2 = 11280550, int(edited[s2]) = 0 s1 = 11236717, s2 = 11280550, d1 = 3, d2 = 0 Dl.O(d1) = 81232111 Dl.O(d2) = 55426548 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236717, s2 = 11280550, dlinesl.size( ) = 8 s1 = 11469295, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469295, s2 = 13289174, int(edited[s2]) = 0 s1 = 11469295, s2 = 13289174, d1 = 28, d2 = 76 Dl.O(d1) = 263262362 Dl.O(d2) = 3064553,3147215,5164674,8070662,7948125,5054629,5054628,7948123,8070660,8070661,11900142,7958484,5062248,5062249,7958487,11900146,11911988,12971498,12971500,11873419,11873417,11212933,7440046,4701159,2832258,2832256,3082273,5082007,7985096,7984737,7984738,11890771,7950557,5056588,5056590,7937084,7993642,5088347,5088346,7978425,5077625,5077624,7978422,11924486,11932148,11932149,16972259,23241064,16984011,16979890,11893245,7952592,5058035,5058036,7952542,7952364,7952214,7952212,11878977,7941223,7941224,11690739,7796895,7796894,7942394,11880624,16968624,16967398,11879316,8041902,8041903,10845124,7169421,7169422,10845125,15666293,21708181,23249910,23249909,30246263,22954284,16717619,11675804,11675801,16717617,254103884,11896168,11896169,16982369,13713747,9392949,9392948,12016671,8075778,5170757,5170756,8075776,12016665,16990138,16969286,11881330,11881331,16969289,23239511,23233126,23231811,16959131,11871239,7950729,5056737,5056739,7932785,5077451,5043418,5043416,7932804,11868726,13409646,13409644,17006175,11924203,11211560,7943033,7936502,5046845,3057158,3057156,5046837,7936484,7996127,5090140,3088886,3088889,3081389,1798303,1798302,3081386,5080350,5050999,5051000,3060217,3060215,5051007,7942272,7979393,7979392,7946276,7946277,7985829,5082449,3082511,1798840,1798843,3075829,5072778,7972123,11898278,7956832,254385814,5088917,5088918,7994338,11893294,7965137,5176896,4930878,2974374,2974376,4930885,4700610,4700611,5160212,3143473,3143474,5160216,8066424,12009181,12013257,11889087,7948909,7948908,11889084,11953216,11953217,17014316,11931096,11877363,11877362,13189929,18561677,25111440,23288161,17028868,254177776,5088934,3087917,1803284,1029525,580105,580103,1029523,1803279,3087907,5088918,7994338,11893294,7965137,5176896,4930878,2974374,2974376,4930885,4700610,4700611,5160212,3143473,3143474,5160216,8066424,12009181,12013257,11889087,7948909,7948908,11889084,11953216,11953217,17014316,11931096,11877363,11877362,13189929,18561676,23238265,17004737,17004736,23268275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469295, s2 = 13289174, dlinesl.size( ) = 8 s1 = 11298127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298127, s2 = 11288162, int(edited[s2]) = 0 s1 = 11298127, s2 = 11288162, d1 = 12, d2 = 8 Dl.O(d1) = 261007217,150609642,162707796 Dl.O(d2) = 261356786 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298127, s2 = 11288162, dlinesl.size( ) = 8 s1 = 11359967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359967, s2 = 9047276, int(edited[s2]) = 0 s1 = 11359967, s2 = 9047276, d1 = 76, d2 = 68 Dl.O(d1) = 154649213,166366160,273561803,204056235,264879021 Dl.O(d2) = 274386958,265589629,226824566,265744555,222397574,222397575,219636145,219636144,219636141,216366934,212424277,212424278,212424266,207603311,264545833,265025435,222397580,219636143,264798099,264903212,177379446,166830289,155136346,155136345,261799835,129115108,115183495,101105359,87107299,258216743,49335899,256483149,23374147,23374146,30801564,39406016,30801359,23373987,23373988,23374116,23374117,30801519,39393856,39406162,36804456,36804457,36804453,36804452,39406277,39406278,49335949,59494768,60739319,60739318,49335863,49335862,49335860,49335861,49335794,39406139,30801470,23374073,23374072,30801467,39406135,49335781,49335780,60739074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359967, s2 = 9047276, dlinesl.size( ) = 28 s1 = 11373551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11373551, s2 = 14594637, int(edited[s2]) = 0 s1 = 11373551, s2 = 14594637, d1 = 43, d2 = 79 Dl.O(d1) = 162940128 Dl.O(d2) = 52506504,42148562,38462993,38462992,256750302,71964212,85551776,99498588,109478443,109478442,99380041,99380042,109478432,95224487,81168135,67702379,67702378,81168129,95224479,107311701,107311703,119708482,105469181,105469182,119708487,123670237,123670238,111872813,97936392,84063183,70526339,70526338,74469315,67702381,67702380,81168136,95224489,97936394,257315404,67702381,55362584,44516346,44516348,55362587,55362585,44516347,44516348,55362587,67702382,81168138,91312792,77393739,77393738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11373551, s2 = 14594637, dlinesl.size( ) = 8 s1 = 11451579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11172735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172735, s2 = 6580894, int(edited[s2]) = 0 s1 = 11172735, s2 = 6580894, d1 = 29, d2 = 27 Dl.O(d1) = 57859792,48237094,38327292,38327291,48237091,38381302,29809181,22442425,16274024,11316068,255473669 Dl.O(d2) = 256190590,12364481,8354768,5392625,5392626,6537003,5675002 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172735, s2 = 6580894, dlinesl.size( ) = 8 s1 = 14306702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14306702, s2 = 7258560, int(edited[s2]) = 0 s1 = 14306702, s2 = 7258560, d1 = 95, d2 = 114 Dl.O(d1) = 259020056 Dl.O(d2) = 264661309,218034537,221000430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 8607326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11130007, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11130007, s2 = 7000667, int(edited[s2]) = 0 s1 = 11130007, s2 = 7000667, d1 = 29, d2 = 22 Dl.O(d1) = 257609078,18859486,13437099,256502308,22666520,30041860,31144732,31144733,35367570,255181012,98246378,256528816,257658562,258889854,270352990 Dl.O(d2) = 261182903,262245393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11130007, s2 = 7000667, dlinesl.size( ) = 26 s1 = 11040005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040005, s2 = 15223261, int(edited[s2]) = 0 s1 = 11040005, s2 = 15223261, d1 = 6, d2 = 13 Dl.O(d1) = 23174631,23839690,23940782,23940781,28474685,28474684,23940025,17595892,255461569,255571319,12422032,8395649,254855305,9969418,256227341 Dl.O(d2) = 55407801,44559976,44559975,55407799,67748460,81215030,95272882,109528284,123720514,137448970,137448972,123720507,123720508,123720510,123720511,137448974,137448973,260548257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040005, s2 = 15223261, dlinesl.size( ) = 16 s1 = 11290921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11106389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106389, s2 = 8194982, int(edited[s2]) = 0 s1 = 11106389, s2 = 8194982, d1 = 34, d2 = 1 Dl.O(d1) = 35385645,35385647,44810090,52306083,41965663,41965664,35385673,27260377,20326213,14587243,10037306,6596277,4132497,2472022,1428963,812940,812939,1428961,2472019,4132485,6596264,10037289,10037250,10037252,14587159,20326103,20326509,26642315,19829441,255343763,10037552,6596415,4132582,4132583,6596417,10037556,10037594,6596437,6596436,10037592,14587648,20326740,27260904,35386173,44810636,44810520,35386077,27260795,27260792,35386073,44810513,44833630,254707642,20347261,20347262,21711802,21711803,27198481,27198483,35322147,41418865,32559626,32559628,41418871,42473771,35398991,35398990,44824575,44614757,35233264,255930402,14517594,14517595,20231282,27138327,35233277,35398713,35399483,27273196,21111579,21111578,28321741,36817603,44825208,44824394,44824392,55731873,52696950,49218490,47964784,47964783,49218493,46447885,36582309,28110039,20933423,15025335,15025336,20933426,28110044,36582278,36582279,46447836,47893823,255048958,22082227,15976462,11090738,11090741,11840370,16918229,23183635,30602416,23184313,21644889,15612162,11841183,11841184,16919467,23185289,22543171,16367731,11602935,11602934,16633569,257568965,50186476,59794881,55244268,55244269,55244674,55244676,67586305,81053829,70888766,70888767,84445920,98355517,112338258,269068372,112537156,112537155,114741235,258130246,48974293,255463402,23054898,268085474,11753890,16808547,23054901,30463041,28409704,21188290,15225733,10502537,6925283,4350528,2605502,2605501,254493361,10502529,15221925,10500022,6923717,4349633,2605022,1503346,1503347,2605025,4349639,6923731,10500046,10500129,10500130,15222068,21183366,15221964,10500052,6923738,4349644,2605027,1503348,1503349,2605029,4349613,4349614,6923682,255020505,255814695,24476651,25195009,254623616,12799908,8702630,267851973,2096476,1206657,680273,378985,226301,124566,117933,64544,36832,36831,62943,115051,210271,382270,685368,1214235,254428049,8743239,12857237,13041823,18366148,24863000,32504886,37134972,28622444,21385099,21385098,28622441,37134968,36841005,36841006,46590767,57967199,58394822,269779839,58095678,58095675,48203377,48203376,46590798,256863594,44746991,44746992,46590608,57967079,46590835,36703962,28212858,28212859,36703964,46590838,49873216,257025908,37160797,37160798,259923305,126509528,139875161,152584797 Dl.O(d2) = 140625078,259945674,85477743,71893250,259350675,76121915,258196440,51419499,51419500,257734611,41222548,32398727,24775405,24775406,32398730,41222550,269044379,41222550,32398728,24775405,18295662,12986416,12986417,18295666,24775414,30007920,255485257,11461116,11461115,12954557,8815164,8815165,8666210,8085237,5180471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106389, s2 = 8194982, dlinesl.size( ) = 24 s1 = 11647967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473383, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11053221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053221, s2 = 11367664, int(edited[s2]) = 0 s1 = 11053221, s2 = 11367664, d1 = 7, d2 = 9 Dl.O(d1) = 256824659 Dl.O(d2) = 259265537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053221, s2 = 11367664, dlinesl.size( ) = 8 s1 = 11178713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178713, s2 = 11371198, int(edited[s2]) = 0 s1 = 11178713, s2 = 11371198, d1 = 0, d2 = 4 Dl.O(d1) = 71834886 Dl.O(d2) = 140569637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178713, s2 = 11371198, dlinesl.size( ) = 8 s1 = 11245715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245715, s2 = 10190110, int(edited[s2]) = 0 s1 = 11245715, s2 = 10190110, d1 = 44, d2 = 42 Dl.O(d1) = 257069582,39411301,30806303,30530163,23112019,23112018,30530160,39128570,38003665,32442752,30530105,29371254,29371253,37937483,256234118,44396872,37459307,28919857,21644568,21643995,21643996,28918311,37457605,37459163,28919723,28919722,37459160,44722152,35302603,35302604,28378019,21160627,15204284,15204285,21160630,28378024,33298377,33298378,268554766,35302769,35302770,37459242,28919795,28919793,256760717,47364160,58750444,47364521,37458963,37458960,39449943,49378041,39720312,39720313,46993939,46993938,44397117,35021722,26940764,26940763,35021720,38688737,48604559,256498542,29800579,29800578,29800592,29800593,26012194,19337810,13829057,13829056,19337803,26012178,33312349,33312351,38689254,40386263,39720786,39720785,48604873,38689243,30113356,30113357,23836083,22732675,22732673,23560102,22732749,16527224,16527225,22732754,30113184,28313657,28313655,36810260,46693534,38689107,36776408,36776407,30113238,30113239,33309610,38237604,38237603,39031143,39031141,38372531,29800501,22434183,22434185,29800449,30442076,38689149,30113247,30113248,38689151,30113407,22732917,22732916,21075227,21075226,15602189,10793644,10793645,15138681,21075523,28280312,22394800,22394799,29755469,31803975,31803974,28048768,20880455,20880456,28048771,31803976,31052739,31052738,38689184,30113293,30113292,28762861,28762860,28280072,28280073,30112682,22732986,16527385,16527384,22732983,29755465,29755464,28279800,28279801,24295157,24295158,28280438,28280439,36776417,36775851,28279760,28279761,36775856,255545062,30442067,255157178,15138368,10440904,6883062,6883063,10440909,15138382,17141145,12046651,12046650,11518932,7662513,7662514,6741641,4224446,2525976,2525975,4224435,6741627,10259279,14919755,20816438,15896367,15896368,268397195,35230142,38689427,38689425,36776315,36775911,36439435,27980337,22733111,22733110,22733085,22733084,28279808,28279807,30113615,22733199,16527529,11518935,7662518,4848064,2921367,1694602,1694601,2921363,4848057,255109817,268412539 Dl.O(d2) = 208090405,202320727,202320726,195456718,263172484,208090402,202320722,272869680,187430731,262737152,262737164,187430749,178207417,178207416,187430747,195456726,202320735,263917494,212086050,208090410,202320733,201285074,262737162,186042636,178207412,167755377,156154061,259404882,102361648,256965926,50450762,40416334,40416333,50449532,40415117,255655290,28784003,37320058,256632830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245715, s2 = 10190110, dlinesl.size( ) = 30 s1 = 11516559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11018313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018313, s2 = 6675804, int(edited[s2]) = 0 s1 = 11018313, s2 = 6675804, d1 = 34, d2 = 24 Dl.O(d1) = 254671758,4553917,5186348,3164061,3164059,5186340,8095417,12041947,9308665,9308666,9308657,9308655,13594580,255056245,7215629,4546388,4546389,7215634,10910330,15753955,19100162,19100164,25732658,30038922,28373638,25656123,19124965,13655135,9350667,9350668,13655138,19124966,22394842,22394843,29755495,34750336,36883409,36883410,36958780,28458575,255389161,254724929,4364602,3792025,2271512,2271511,2272578,2272577,3793998,6063844,9258496,9249710,9249711,13517487,13514185,10700257,10700260,13514325,11914760,10571643,9247304,9247300,8108050,8108047,12056544,8106169,8106168,10551593,15286016,13537003,13537000,18951725,13515144,10925951,10925950,8104292,5192548,3168504,1855127,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,752483,1319090,2274720,267812067,1317467,751687,751689,1316473,752364,752363,1318842,2274277,3796938,6068525,7227200,10925650,12270395,17411170,18948312,13511553,13511554,13511516,9245084,9245085,13511519,13538059,9941875,9941874,14450869,10700368,10700367,8006672,5097173,3093902,3093903,5097177,8006674,9236891,9236890,11914937,7970206,5071296,3074605,254175771,1023186,1793605,1316505,1316507,1315840,750968,750969,1315911,2268515,3786441,254925913,18939564,271289266 Dl.O(d2) = 257209761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018313, s2 = 6675804, dlinesl.size( ) = 2 s1 = 11018313, s2 = 6675804, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11018313, Dl.E( ) = 44, 1.5e-05 seconds used appending s1 = 11424499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424499, s2 = 4752484, int(edited[s2]) = 0 s1 = 11424499, s2 = 4752484, d1 = 50, d2 = 58 Dl.O(d1) = 263983297 Dl.O(d2) = 193790992,263487006,206855983,206855979,200876486,193790990,193790991,200876488 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424499, s2 = 4752484, dlinesl.size( ) = 40 s1 = 11396471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11396471, s2 = 11275794, int(edited[s2]) = 0 s1 = 11396471, s2 = 11275794, d1 = 42, d2 = 26 Dl.O(d1) = 164460888 Dl.O(d2) = 105369286,272208653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11396471, s2 = 11275794, dlinesl.size( ) = 20 s1 = 11501523, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12725754, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11434337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434337, s2 = 11419278, int(edited[s2]) = 0 s1 = 11434337, s2 = 11419278, d1 = 1, d2 = 12 Dl.O(d1) = 193113068 Dl.O(d2) = 264213416,193798621,185538809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434337, s2 = 11419278, dlinesl.size( ) = 8 s1 = 11158831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158831, s2 = 11402794, int(edited[s2]) = 0 s1 = 11158831, s2 = 11402794, d1 = 18, d2 = 7 Dl.O(d1) = 258305707 Dl.O(d2) = 167979970,262759100,156414046,262381875,178394910,262759102,156414047,143904189,143904190,156414044,262759100,167979971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158831, s2 = 11402794, dlinesl.size( ) = 8 s1 = 11112079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112079, s2 = 11424622, int(edited[s2]) = 0 s1 = 11112079, s2 = 11424622, d1 = 36, d2 = 26 Dl.O(d1) = 256291572,15603911,11038077,7312529,7312531,11038084,15913057,11034680,7309473,4613392,2777932,2777933,4613395,7309481,11034692,11724471,7827148,4968235,3000762,3000761,4968230,7827142,11724466,16770049,255954821,39002946,260052039,270034951,53368260,268768881,255292977,13846529,255700603,256218773 Dl.O(d2) = 260990621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112079, s2 = 11424622, dlinesl.size( ) = 34 s1 = 12782966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11111075, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111075, s2 = 5376819, int(edited[s2]) = 0 s1 = 11111075, s2 = 5376819, d1 = 20, d2 = 18 Dl.O(d1) = 258061029,84856139,98782462 Dl.O(d2) = 226878890,265371532,219716837,222467197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111075, s2 = 5376819, dlinesl.size( ) = 8 s1 = 11206083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206083, s2 = 11437754, int(edited[s2]) = 0 s1 = 11206083, s2 = 11437754, d1 = 11, d2 = 7 Dl.O(d1) = 84034860,97904733 Dl.O(d2) = 262134167 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206083, s2 = 11437754, dlinesl.size( ) = 8 s1 = 11535841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535841, s2 = 11447418, int(edited[s2]) = 0 s1 = 11535841, s2 = 11447418, d1 = 2, d2 = 10 Dl.O(d1) = 227380947 Dl.O(d2) = 265507860 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535841, s2 = 11447418, dlinesl.size( ) = 8 s1 = 11135575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10669891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10669891, s2 = 7087060, int(edited[s2]) = 0 s1 = 10669891, s2 = 7087060, d1 = 1, d2 = 12 Dl.O(d1) = 126308351 Dl.O(d2) = 262364180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10669891, s2 = 7087060, dlinesl.size( ) = 20 s1 = 11402793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402793, s2 = 11158832, int(edited[s2]) = 0 s1 = 11402793, s2 = 11158832, d1 = 38, d2 = 22 Dl.O(d1) = 166199021,262759101,154465858,141820143,141820142 Dl.O(d2) = 258305706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402793, s2 = 11158832, dlinesl.size( ) = 24 s1 = 11322765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322765, s2 = 13690018, int(edited[s2]) = 0 s1 = 11322765, s2 = 13690018, d1 = 15, d2 = 74 Dl.O(d1) = 136169443 Dl.O(d2) = 260933469,148887638 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322765, s2 = 13690018, dlinesl.size( ) = 8 s1 = 11410715, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11488475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11488475, s2 = 15981236, int(edited[s2]) = 0 s1 = 11488475, s2 = 15981236, d1 = 58, d2 = 89 Dl.O(d1) = 264110651 Dl.O(d2) = 14537113,10002044,6572985,4117358,4117359,6572987,10002047,14537117,20261173,27183869,21623961,21623959,28899137,30107485,25296196,25296195,33022414,37435833,28894872,28894871,37435831,47343114,47398341,52261329,44551941,35174284,27085894,20187626,14484271,14484272,12472725,12472726,17646107,17756577,17756580,20187719,24225226,19425108,19425109,23735988,25616793,32983339,33955723,30104334,28139170,20961133,20961130,28139163,23900376,256020461,27183865,35302927,268976025,23430275,23430274,21232145,21232144,15276147,10542416,6952672,6952673,6962627,4374427,267786067,857604,857605,1512684,2620396,4374463,3169240,3169239,5193957,8106743,12054414,8106748,5193961,5193962,8106752,12057320,17153891,14450371,9941507,6534079,6534080,9260255,9260256,10548717,6957014,6957015,6953751,6953752,8371890,5403076,3321945,3321950,3321907,3321906,2271832,1317543,751722,427069,241110,241112,427079,751745,1317587,2271904,3792791,3796376,3796379,6067657,9256005,13510809,9244532,7903157,7903158,6054902,3788924,3788925,6054904,9244902,13511249,18948005,21251990,16153672,11222730,7446408,254772549,16153668,268034421,6235706,6235705,9507274,13859029,19374785,26055676,33878737,42924343,53390300,65393566,65393564,65393565,78697870,92761481,107102723,121401093,272737436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11488475, s2 = 15981236, dlinesl.size( ) = 20 s1 = 11207867, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11361057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11361057, s2 = 12766013, int(edited[s2]) = 0 s1 = 11361057, s2 = 12766013, d1 = 38, d2 = 40 Dl.O(d1) = 260298418 Dl.O(d2) = 263689366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11361057, s2 = 12766013, dlinesl.size( ) = 36 s1 = 11566567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11566567, s2 = 14050610, int(edited[s2]) = 0 s1 = 11566567, s2 = 14050610, d1 = 18, d2 = 0 Dl.O(d1) = 265737566,228534457 Dl.O(d2) = 23048832,16803328,11749718,11749719,11732470,7833139,7833141,7833154,255047231,7144210,4498514,4498513,6486493,7193261,4531627,2724000,2723998,4531621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11566567, s2 = 14050610, dlinesl.size( ) = 14 s1 = 11549729, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549729, s2 = 11121430, int(edited[s2]) = 0 s1 = 11549729, s2 = 11121430, d1 = 17, d2 = 37 Dl.O(d1) = 228844953 Dl.O(d2) = 116707700,258217662,88602364,74960596,62150681,62150680,74960595,88602363,88602362,88602363,102609758,258217662,88602365,74960596,62150681,50643674,40595254,255982098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549729, s2 = 11121430, dlinesl.size( ) = 8 s1 = 11400957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382601, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382601, s2 = 7062364, int(edited[s2]) = 0 s1 = 11382601, s2 = 7062364, d1 = 47, d2 = 36 Dl.O(d1) = 261232767,114818001,114818002,123672268,123672267,109480438,258193392,27056876,28127002,20949180,18355994,18355992,20165319,16833600,14463532,9950784,9950788,14463540,18355970,16831146,16831149,14461046,9949122,9949125,14461054,16831539,16831538,11770576,7858479,7858474,7858406,4987610,4987609,7858403,11770433,16831666,16827886,11767525,255130535,20161107,20161108,27054575,255332790,254979182,24541885,254317220,23086803,21920315,15835750,15835752,16831840,23084722,27055228,21048995,15119252,14473730,11844929,10975767,7987762,5083827,3083525,3083522,5083816,7987748,11935469,256475245,269843175 Dl.O(d2) = 262045344,259732054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382601, s2 = 7062364, dlinesl.size( ) = 40 s1 = 11392073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11392073, s2 = 5404753, int(edited[s2]) = 0 s1 = 11392073, s2 = 5404753, d1 = 8, d2 = 21 Dl.O(d1) = 262205642 Dl.O(d2) = 223552238,225748056,265552998,265855980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11392073, s2 = 5404753, dlinesl.size( ) = 14 s1 = 11463051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463051, s2 = 3738143, int(edited[s2]) = 0 s1 = 11463051, s2 = 3738143, d1 = 87, d2 = 110 Dl.O(d1) = 205535776,264352698,210691033,210691034,214902370,274308966 Dl.O(d2) = 273040384,262802933,186960455,195045220,263780220,186960450,177680524,177680523,263618307,195045218,186960453,273040384,262802933,186960455,263966949,201962399,201962397,201962396,195045218,195045217,201962392,201962397,195045210,195045211,195045214,186960451,177680527,167182695,262548652,155551536,143003356,129675606,115778975,101733860,87761282,74157009,61376529,49895969,39873879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463051, s2 = 3738143, dlinesl.size( ) = 40 s1 = 11554545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11554545, s2 = 11354310, int(edited[s2]) = 0 s1 = 11554545, s2 = 11354310, d1 = 35, d2 = 0 Dl.O(d1) = 265725969 Dl.O(d2) = 154015658,141345637,141345636,141345637,260615991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11554545, s2 = 11354310, dlinesl.size( ) = 24 s1 = 11032167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032167, s2 = 11514296, int(edited[s2]) = 0 s1 = 11032167, s2 = 11514296, d1 = 15, d2 = 17 Dl.O(d1) = 15027059,10354890,255006339,20935197,28111952 Dl.O(d2) = 259260601,111847502,125663551,139002573,263468913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032167, s2 = 11514296, dlinesl.size( ) = 12 s1 = 10998861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998861, s2 = 13827550, int(edited[s2]) = 0 s1 = 10998861, s2 = 13827550, d1 = 28, d2 = 37 Dl.O(d1) = 271881375 Dl.O(d2) = 263931990,185580941,176116366,176116367,263542621,200921255,206895416,264501709,215862163,215862164,211830646,211830644,215862175,215862162,264989347,219196611,215862180,264528854,200921259,264216347,274193197,211830622,206895408,200921238,193840297,185580928,185580929,193840300,200921242,206895413,273875182,193840301,185580930,263898139,264501709,215862163,215862164,211830646,206895429,206895430,211830649,215862167,215862168,219196603,222010838,222010836,265011726,215862161,274193195,215862169,274275325,215862159,211830622,211830621,206895425,206895426,274098947,215862162,264989347,219196611,215862180,264528854,200921259,193840314,185580943,262756188,261768316,127637740,113769342,99755113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998861, s2 = 13827550, dlinesl.size( ) = 8 s1 = 16327770, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12594737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12594737, s2 = 11503384, int(edited[s2]) = 0 s1 = 12594737, s2 = 11503384, d1 = 6, d2 = 6 Dl.O(d1) = 265986262,234418424,235412681,236319856,237148520,236821687,235961302,235017074,233979720,232840863,231581990,230177830,228596278,226797703,224735675 Dl.O(d2) = 265986262,234418424,235412681,236319856,237148520,236821687,235961302,235017074,233979720,232840863,231581990,230177830,228596278,226797703,224735675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12594737, s2 = 11503384, dlinesl.size( ) = 2 s1 = 12594737, s2 = 11503384, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12594737, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 11477817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477817, s2 = 8257489, int(edited[s2]) = 0 s1 = 11477817, s2 = 8257489, d1 = 57, d2 = 107 Dl.O(d1) = 263828787 Dl.O(d2) = 256517544,63108050,270991685,258877997,74241716,259502097,261286955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477817, s2 = 8257489, dlinesl.size( ) = 38 s1 = 11597845, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11545709, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11590343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590343, s2 = 11556378, int(edited[s2]) = 0 s1 = 11590343, s2 = 11556378, d1 = 12, d2 = 3 Dl.O(d1) = 266366898 Dl.O(d2) = 234324433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590343, s2 = 11556378, dlinesl.size( ) = 8 s1 = 11472557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11472557, s2 = 11463004, int(edited[s2]) = 0 s1 = 11472557, s2 = 11463004, d1 = 1, d2 = 6 Dl.O(d1) = 208285036 Dl.O(d2) = 225929540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11472557, s2 = 11463004, dlinesl.size( ) = 8 s1 = 11562113, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11510575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510575, s2 = 6230140, int(edited[s2]) = 0 s1 = 11510575, s2 = 6230140, d1 = 43, d2 = 20 Dl.O(d1) = 265325465,225845938,227742468,266073753 Dl.O(d2) = 244408621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510575, s2 = 6230140, dlinesl.size( ) = 8 s1 = 11539885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11539885, s2 = 14939108, int(edited[s2]) = 0 s1 = 11539885, s2 = 14939108, d1 = 38, d2 = 57 Dl.O(d1) = 265696694 Dl.O(d2) = 81118884,260395879,109372993 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11539885, s2 = 14939108, dlinesl.size( ) = 8 s1 = 11046695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11046695, s2 = 7795094, int(edited[s2]) = 0 s1 = 11046695, s2 = 7795094, d1 = 40, d2 = 58 Dl.O(d1) = 256120211,42024637 Dl.O(d2) = 267593742,267556780,267539466,246277946,267528278,275023522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11046695, s2 = 7795094, dlinesl.size( ) = 24 s1 = 11495737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11558161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558161, s2 = 6042366, int(edited[s2]) = 0 s1 = 11558161, s2 = 6042366, d1 = 0, d2 = 42 Dl.O(d1) = 232223529 Dl.O(d2) = 240373375 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558161, s2 = 6042366, dlinesl.size( ) = 42 s1 = 11608751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11608751, s2 = 11597920, int(edited[s2]) = 0 s1 = 11608751, s2 = 11597920, d1 = 13, d2 = 0 Dl.O(d1) = 266943051 Dl.O(d2) = 238673662 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11608751, s2 = 11597920, dlinesl.size( ) = 8 s1 = 11463137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15305986, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15305986, s2 = 13804494, int(edited[s2]) = 0 s1 = 15305986, s2 = 13804494, d1 = 51, d2 = 49 Dl.O(d1) = 242929065,243234815,267248915 Dl.O(d2) = 211895677,206974882,206974883,211895680 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15305986, s2 = 13804494, dlinesl.size( ) = 8 s1 = 11618785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618785, s2 = 7296504, int(edited[s2]) = 0 s1 = 11618785, s2 = 7296504, d1 = 57, d2 = 60 Dl.O(d1) = 243494528,243762677 Dl.O(d2) = 265107888,209674710,204271538,197795804,197795803,204031258,263369568,189855958,263352646,160150893 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618785, s2 = 7296504, dlinesl.size( ) = 26 s1 = 11638109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638109, s2 = 11631588, int(edited[s2]) = 0 s1 = 11638109, s2 = 11631588, d1 = 4, d2 = 10 Dl.O(d1) = 246586073 Dl.O(d2) = 275027602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638109, s2 = 11631588, dlinesl.size( ) = 8 s1 = 11638221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638221, s2 = 11635430, int(edited[s2]) = 0 s1 = 11638221, s2 = 11635430, d1 = 5, d2 = 10 Dl.O(d1) = 246602859,246527431 Dl.O(d2) = 267551812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638221, s2 = 11635430, dlinesl.size( ) = 6 s1 = 11639919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639919, s2 = 6235934, int(edited[s2]) = 0 s1 = 11639919, s2 = 6235934, d1 = 32, d2 = 43 Dl.O(d1) = 275069642 Dl.O(d2) = 244894928,244711358,244514964,267228160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639919, s2 = 6235934, dlinesl.size( ) = 20 s1 = 11446393, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11199253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11199253, s2 = 11649772, int(edited[s2]) = 0 s1 = 11199253, s2 = 11649772, d1 = 12, d2 = 10 Dl.O(d1) = 65150121,65150120,78432114,74577012,61792811,61792810,61792809,72194830,59656016,48269461,38359108,38359107,268179038,58405152,47032877,37144185,28630483,21391815,15407091,10649429,7031625,4423513,4423514,7031626,7105355,10754855,15550143,21573056,28673237,28673239,255883832,20090619,14404058,10417675,6867557,4310385,4310386,6867786,6867857,6867855,7894209,11136736,10417881,6867702,4310332,4310333,6867607,4310276,4310277,6867610,10417762,15104322,21029062,21029464,15104665,10418056,6867795,4310391,2577412,1484536,839736,473501,266127,147368,147369,266129,473504,839742,1484545,254327107,6867869,10418180,10417792,6867636,4310296,2577359,1484508,1484509,2577362,4310302,6867646,10417653,10417654,10417743,6867594,4310271,4310273,6867601,4310308,4310307,6867654,7386958,7386988,7386987,255452257,28441784,21216185,15247898,15247899,14403656,9906921,9906920,9907213,14403720,9906961,9906962,14403721,9907364,9907362,14404270,20090847,26979392,26979664,35063017,44437106,55281244,67619152,67619144,55281235,44437096,44437097,40491503,31796624,256555589,272277693,273174345 Dl.O(d2) = 261124460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11199253, s2 = 11649772, dlinesl.size( ) = 8 s1 = 11414911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414911, s2 = 3856739, int(edited[s2]) = 0 s1 = 11414911, s2 = 3856739, d1 = 17, d2 = 29 Dl.O(d1) = 262130527 Dl.O(d2) = 211002244,264153415,199744854,263828243,183995736,183995735,192458847,199744833,199744846,192458859,192458861,199744841,192458857,192458858,199744843,205906373,205906350,263828237,192458834,199744821,205906348,211002215,215166908,211002238,264153407,192458849,183995736,174336891,174336892,183995738,192458855,199744838,205906370,264705831,205906357,199744826,192458838,192458839,199744828,273840719,183995725,273852246,138911480,125577641,111768401,97842876,83980932,258005135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414911, s2 = 3856739, dlinesl.size( ) = 16 s1 = 11137427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137427, s2 = 8537640, int(edited[s2]) = 0 s1 = 11137427, s2 = 8537640, d1 = 20, d2 = 28 Dl.O(d1) = 257264300,9986354,254675986,27130006,31137453,23649775,23649776,31137456,26323477,19596998,14041615,9654707,6348483,3983234,3983233,6348481,9654701,14041608,19596984,26323465,34195992,43293602,37175105,28656780,21413062,15423970,10662596,10662595,15423968,19598269,26325061,23280887,23280886,29016932,29016946,37563613,29016934,21728700,21728699,29016927,21728684,15682084,10856638,255423247,29016969,29016956,21728723,255857511,37563626,29016954,256350837,47470519,58854647,47470540,37563650,29016977,267867898,10856642,10856641,9655442,9655441,14042307,14042306,19597934,21729006,15682271,10856768,10856767,15682270,14042630,14042629,19598335,21728781,15682122,10856672,10856669,10856662,268076157,21728773,22188748,16061262,11152218,7397000,7396999,11152216,16061258,12078561,12078562,15682197,15682201,15682202,256184460,21423366,15431886,15431887,15433317,15433316,21425315,255304268,7177756,7177755,8122207,5203610,5203611,8122208 Dl.O(d2) = 175906770,273541873,206769848,211719554,215764801,211719555,206769850,200778540,193678346,263134748,165198645,153395195,261699776,127357526,127357525,113488010,259355024,259355023,113488009,259355024,71942945,71942946,256915642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137427, s2 = 8537640, dlinesl.size( ) = 8 s1 = 11146939, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11146939, s2 = 6616970, int(edited[s2]) = 0 s1 = 11146939, s2 = 6616970, d1 = 43, d2 = 62 Dl.O(d1) = 258115455,259364077,113622708 Dl.O(d2) = 254626945,5700609,8755715,12874720,255615743,32191897,257717980,85844848,256582228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11146939, s2 = 6616970, dlinesl.size( ) = 8 s1 = 11027261, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11388209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11388209, s2 = 9218793, int(edited[s2]) = 0 s1 = 11388209, s2 = 9218793, d1 = 13, d2 = 14 Dl.O(d1) = 262891549,273369216,262290742 Dl.O(d2) = 118382340,108705904,108705903,122971547,261539177,262563859,263423785,188530739,264026881,208722080,205368010,199108472,263938990,262765618,262290740,149938599,136802499,261539175,149938596,149938597,261668130,165130106,165130107,153319451,140640793,260539746,140640792,260539748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11388209, s2 = 9218793, dlinesl.size( ) = 8 s1 = 14127037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127037, s2 = 14106416, int(edited[s2]) = 0 s1 = 14127037, s2 = 14106416, d1 = 35, d2 = 10 Dl.O(d1) = 263249296,159143703,146769169,146769170,153650261,140983319,127634383,113766002,99751754,85797783,72203577,59465739,48074804,38161985,29595465,29595463,38161984,47027889,38162093,29595568,22246687,16109374,16109375,22246688,29595570,38162099,38162096,38162097,48074923,59465866,72203666,85797876 Dl.O(d2) = 85797874,85797880,99751862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127037, s2 = 14106416, dlinesl.size( ) = 32 s1 = 11509917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11472879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11472879, s2 = 11012426, int(edited[s2]) = 0 s1 = 11472879, s2 = 11012426, d1 = 28, d2 = 36 Dl.O(d1) = 263527430 Dl.O(d2) = 106674868,92370890,78338082,257212580,25806923,19159513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11472879, s2 = 11012426, dlinesl.size( ) = 24 s1 = 14154801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12727188, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14306945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14263456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14875138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14621701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14621701, s2 = 14162543, int(edited[s2]) = 0 s1 = 14621701, s2 = 14162543, d1 = 34, d2 = 26 Dl.O(d1) = 38054866,38054867,47968165,59359300 Dl.O(d2) = 257233441,65150567,71437793,71437794,71437791,58706225,47317261,37408786,28867621,28867622,37408788,47317262,58706227,53017602,42577428,33560744,25771344,19131357,13660231,13660232,13818717,9476863,254658210,3889303,254456373,3889291,6213839,9476841,9443477,6190770,6190772,6211589,3887950,3887948,6211585,9473385,9473436,9510894,6238143,3905434,3905432,6238140,9510890,13653296,9349317,6123766,6088851,3809686,2282021,2282024,1365409,777739,441324,441327,777649,777747,441325,441327,777649,777747,441325,441327,777649,777747,441325,441327,777647,1364414,2354637,3933270,6281648,6080412,3804621,3804622,6080419,9282257,6099126,3837984,3837983,6134512,9331807,6112638,6112637,9331805,9476842,9476843,6852773,4300545,4300544,6852771,6817974,254324707,2557038,254485867,10353474,10303584,10303585,6829575,4284722,2561677,1475205,834161,470236,470237,834163,1475211,2561691,4284752,4282361,4282362,6745039,6745040,4275455,4226495,4226494,4293979,4293980,4855003,6821514,4852283,4852280,6821614,4279315,2558544,2558542,4279308,2570451,1479878,1479877,2570446,4299325,6851090,9060767,5924365,3704517,3704519,3712992,5924589,3704648,3704647,5924584,9061076,13276331,9091356,9091355,10315390,10315389,14983659,20886825,24267854,24267855,31780404,40475050,36474906,36474905,46330382,48019679,38109543,29546232,29546235,27099409,20199888,14494166,14494165,20199886,27099405,35188193,44566510,55414059,269296539,46397388,57748210,61397190,255427754,255055454,12270884,12270885,17411820,23736642,31220469,39897317,47091184,39437186,39437187,36916752,28418873,28418874,268913735,49085238,60488397,49365987,49365988,60767769,60767720,60767721,49365348,49365349,48923185,38999322,30410328,23005625,23005627,23403534,30831833,37238514,37238513,37238521,30831875,30831876,30833357,30831652,30831654,23403755,23403756,30831539,23403357,255009188,17130421,23403337,30831516,39435734,49364882,49364896,39436082,39435707,30831497,30831498,39435711,49364856,39435776,30831553,30831552,39435772,49364916,49364966,268664351,23403508,17130527,12038878,12038879,17130528,23403511,30831801,39436067,38999311,30410320,30410321,30831882,30831883,30831888,39436150,49365242,54617353,54617354,257611439,39436203,30831944,23403602,17130578,12038909,12038908,17130576,23403601,30831943,32821630,25117535,18566721,18566720,25117533,30832309,23403832,23403828,30832256,23403804,23403805,30832262,39436518,39436546,40199879,40199880,47757788,37835338,29269297,23403901,17130740,17130742,23403909,30832403,39436657,39436529,39436530,44481978,43874925,43874926,37835276,37835275,30831866,23403553,21946930,15857620,15857619,21946924,29269275,30832492,23403957,23403954,23403952,17130755,17130754,23403947,30832472,26616834,26616833,26616817,19807843,19807845,26616821,23403845,17130698,12038969,12038968,17130692,23403827,30832299,30623236,23201201,16931748,16931750,23201212,30623250,30832284,30832286,39436541,49365412,39436334,30832075,23403681,17130618,17130619,23403687,30832088,35388963,39437700,36431955,27972998,27972996,30832372,39436616,44813660,47759086,37836646,37836645,32856996,32856995,32857010,35106650,39220605,30623272,23404260,23404259,23404295,30832941,29926620,29926621,38487351,37836620,29270474,22165269,16042898,16042897,12039404,12039405,17131446,16931765,11850277,11850275,16931755,23201222,30623265,30832931,39436352,39437453,30833345,30833344,39437449,37836606,30833254,30833251,30832909,23404284,23404285,23404687,23404688,30833426,23404804,23404803,30833561,23404822,21947932,21947931,255535317,12039265,8093836,5185419,3163528,1851881,1851880,3163525,5185411,8093820,8093729,5185361,5185360,8093723,12039201,17131105,17130859,12039051,12039052,17130864,17131316,23404831,27263495,20329016,20329014,23404726,17131256,17131255,23404723,29893908,23404709,23404711,30833381,23404650,17131209,17131211,22281581,22281582,22281577,22281576,17131176,17131179,17131188,23404621,23872648,23872649,30833777,23405009,17131424,12039394,12039393,12039310,8093782,5185390,5185391,8093789,8093807,12039364,17131377,23404456,17131089,17131090,17131093,23404471,23404093,23404094,17131332,12039334,12039331,17131322,23404842,22539029,22539027,29894236,38451044,29894073,22538920,22538918,22538923,29894078,22539096,22539097,29894352,38451045,38200653,38200654,39437734,39437353,30833310,30833309,39437419,30833317,30833316,39437426,30833759,23404994,17131412,12039388,12039389,17131416,17131274,12039296,12039297,12039359,12039358,17131371,23404934,22539154,16364342,16364341,22539152,29894413,38451392,48353267,59736554,48352952,38451005,29894253,22539035,16364285,16364275,16364230,11388005,7565667,7565666,11388001,16364222,22538849,16364319,16364320,22539108,29894360,38451233,38451212,29894226,29894227,35105307,35105306,37352272,29893893,29139768,29139769,37700533,30833750,30833735,23404982,23404983,30833740,30833512,23404757,23404758,29894244,28813560,21545428,21545430,28813565,37352352,29002462,29002463,37548292,33738363,25931585,25931586,30832596,30832595,29894094,22538940,16364234,11388035,7565684,4783764,2882605,2882604,4783749,7565651,7565711,7565713,11388088,16364361,22539186,29894463,37701692,37701704,37701705,38451304,30832742,23404136,23404137,29894021,22538878,22538877,29894018,38450974,48352739,38451325,38451326,48353220,48353272,59736746,71388693,58653650,47261918,37352354,255844085,15528317,15528316,21545433,28813571,37352362,255916803,22538887,29894038,38451002,48352946,48353015,38451073,38451072,48353009,54584998,48353102,38451155,29894180,29894181,38450789,48352748,48352812,48352814,47456163,47456164,58841737,58653674,48352755,38450797,38450795,47261929,38450771,38450772,38450786,44786428,35362302,35362303,44786433,55693728,55693741,59736646,48353078,48353079,48353068,48353029,48353028,58653639,58653634,58653635,48352933,48352934,38451095,38451097,48353048,59736544,48352938,48352939,48352975,38451049,38451050,48352982,59026004,47622850,47622848,48596004,38679648,38679651,48596010,59736660,58841744,47456169,37548271,37548272,47456172,38451380,38451379,34127461,34127463,43215208,53727153,61877378,59736690,48353143,38451199,29894219,29894218,38451192,48353138,59736680,61877386,61877385,59736635,59736636,55693886,44786652,44786651,55693881,68091650,71769470,59026381,59026248,47623180,37700026,29139251,21831780,21831779,29139248,29486454,22148144,22148143,29486452,38049984,37699908,29139145,29139143,37699904,29139475,29139473,34569153,26582457,26582456,34569151,37699914,37699916,47622885,59026028,59026151,55693916,44786680,37699896,29139137,29139138,29139502,27239479,21831705,21831706,15763243,15763242,21831718,21831812,29139278,37699983,37699982,47623135,59026206,66844859,66844831,54585590,256238006,47623477,47623476,43215171,43215172,53727108,47623679,47623678,47623123,47623124,37700705,37700706,268343318,47623683,47623320,47623322,37700436,37700438,46723499,37700422,29139631,21832090,268393443,37700425,37700093,37700094,256900137,29139693,21832160,15763567,15763566,21832157,29139689,29139698,29139699,37700475,37700704,29139941,21832396,15763756,10917254,10917252,15763753,21832389,29139930,29139621,21832083,21832084,29139451,29139452,37700244,257480037,59026210,47623121,47623120,59026208,59026264,47623343,47623342,59026359,270310367,257480144,37700512,268215866,21831798,15763300,10916919,10916918,15763298,255864325,37700040,256900101,29139241,21831774,21831776,29139245,29139895,37699513,29138794,29138795,37699517,37700483,29139714,21832174,255429469,15764197,21832883,21832238,15763634,10917157,10917156,15763485,10917046,7219973,7219910,4548944,4548940,7219859,7219857,10916832,15763143,15764536,10917807,254750267,254512375,2734438,1584478,1584480,2734450,2734537,2734536,4549105,7220198,10917411,15762351,10917481,7220240,7220241,10916180,7219435,7219434,7219669,4548796,4548797,4548813,4548811,4548832,4548841,4548842,7219761,7220420,7220419,10917493,10917492,10917460,10917283,7220114,7220113,10917292,10917847,7220484,4549264,2734619,2734618,4549258,4548867,2734529,2734530,4549086,7220174,7220325,7219428,4548692,4548691,4548872,4548873,4549120,2734544,2734542,4549114,7220218,10917444,15762782,15762147,15762148,10916817,10916818,10916587,7219689,4548807,4548806,7219686,10916581,15762798,21831156,21831155,21830481,15762214,15762213,15762629,10916444,7219594,4548765,2734384,1584449,1584450,2734387,4548772,7219609,10916462,15762658,21830866,15762537,10916391,10916390,7219624,4548779,4548778,7219619,7219551,7219552,10916399,10917818,10917817,10916130,10916129,15762127,21830406,29137864,29137946,21831083,15762719,10916509,10916507,15762355,15762796,255429327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14621701, s2 = 14162543, dlinesl.size( ) = 2 s1 = 14621701, s2 = 14162543, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14621701, Dl.E( ) = 36, 1.6e-05 seconds used appending s1 = 6914596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6914596, s2 = 3228569, int(edited[s2]) = 0 s1 = 6914596, s2 = 3228569, d1 = 42, d2 = 87 Dl.O(d1) = 260038719 Dl.O(d2) = 115728237,101683165,270833304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6914596, s2 = 3228569, dlinesl.size( ) = 58 s1 = 8370964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3343388, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 3343388, s2 = 5727754, int(edited[s2]) = 0 s1 = 3343388, s2 = 5727754, d1 = 62, d2 = 15 Dl.O(d1) = 108702743,122968003,136798328,149933742,162144987,173243644,162144989,162144990,173243647 Dl.O(d2) = 232778635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 3343388, s2 = 5727754, dlinesl.size( ) = 52 s1 = 11304143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14307374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9017022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11038719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10418648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10418648, s2 = 10418647, int(edited[s2]) = 0 s1 = 10418648, s2 = 10418647, d1 = 21, d2 = 33 Dl.O(d1) = 237730654 Dl.O(d2) = 266620352,239658951,266543568,238431750,238431749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10418648, s2 = 10418647, dlinesl.size( ) = 36 s1 = 11480551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12609881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12609881, s2 = 11649704, int(edited[s2]) = 0 s1 = 12609881, s2 = 11649704, d1 = 2, d2 = 1 Dl.O(d1) = 272223659,154168285,154168287,154168286,154168288 Dl.O(d2) = 176574603,183508512,262590033,261008209,261008211,261008209,259807163,269652475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12609881, s2 = 11649704, dlinesl.size( ) = 2 s1 = 12609881, s2 = 11649704, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12609881, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11403547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11403547, s2 = 11262280, int(edited[s2]) = 0 s1 = 11403547, s2 = 11262280, d1 = 18, d2 = 1 Dl.O(d1) = 259624892,256099726,72316519,269341701,22363424,22363425,16527746,11519082,7662600,4848117,4848116,254792065,16527728,22733474,20265606,20265607,23055368,256458139,48975010 Dl.O(d2) = 60370948,73110378,259437749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11403547, s2 = 11262280, dlinesl.size( ) = 36 s1 = 11114751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114751, s2 = 11381180, int(edited[s2]) = 0 s1 = 11114751, s2 = 11381180, d1 = 26, d2 = 7 Dl.O(d1) = 259363305 Dl.O(d2) = 164788809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114751, s2 = 11381180, dlinesl.size( ) = 34 s1 = 14145245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145245, s2 = 9684437, int(edited[s2]) = 0 s1 = 14145245, s2 = 9684437, d1 = 90, d2 = 89 Dl.O(d1) = 265085756,264347796 Dl.O(d2) = 67828845,55487701,44637712,35253172,27154283,20243010,14525611,9994651,6568597,6568596,9994649,255304683,14046334,19603156,26331025,34204783,43303042,255143124,30788882,23363271,17094263,12007429,12007427,17094258,16664687,16664688,22894488,30292917,38878912,37845728,29278552,29278553,37845734,33057140,25328423,25327848,25327849,33056444,25327824,25327825,18748921,13348274,13348273,18748918,18749321,13348529,13348528,10994850,10994853,15863099,18749072,13348367,9121106,5968408,5968409,9121110,13348377,18749046,25328248,23236770,23236771,30658012,23236746,23236744,17843876,12635992,255200195,24214265,24214264,31721558,40413432,46709534,36827291,36827292,46709536,37845878,37845877,33056474,255980626,28331286,36827294,33057214,25328506,25328507,33057216,37845806,37845805,256837009,36827173,36827484,28331467,21120193,21120194,28331473,36827493,46709749,52339567,50538452,50538453,58080965,46709494,257416383,46709444,36827175,28331145,21119983,21119982,15172599,10464104,10464103,15172598,13348296,9121073,9121072,13348293,18748957,25328135,21120172,15172733,10464184,10464183,15172728,21120166,28331429,28331141,21120157,21120158,28331417,21120178,18748963,18748964,21120228,21120227,28331124,21119970,21119971,15172782,10464216,6897622,4329787,2590280,2590281,4329793,6897628,10464224,15172794,15172830,10464250,6897643,4329803,2590288,2590289,4329811,6897662,10464290,15172897,21120280,15172811,10464237,10464238,15172813,15172935,10464315,6897680,6897679,10464311,15172927,15172741,15172742,21120188,28331390,28331391,28331422,21120162,21120163,23354867,17087041,17087038,23274544,30689862,36827457,38999754,36827569,28331535,21120241,15172778,15172776,21120237,15391781,10637200,7022060,4416228,2648738,2648739,4416230,254731783,10464269,15172858,15172888,21120379,255596270,21120107,21120108,28331337,28331741,21120406,21120407,28331743,36827445,28331405,21120150,21120149,28331398,28331399,36827437,46709681,48923639,48923640,58372392,47002273,38999759,30410683,23005885,23005886,23005828,23005829,30410599,38999659,48923569,60322037,73062992,73062993,73063002,71088644,58372390,47002271,37116409,28606775,28606771,37116404,47002263,48923504,48923503,39883828,39883827,49904761,48923470,38999561,30410518,23005766,23005767,21954419,21954418,29278690,35270294,44664009,48129320,38266240,38266241,48175819,59562448,59562449,59562480,59562479,72296900,259381783,85889602,85842315,72250755,258752761,99794908,113808808,116569040,113862116,99844392,85889628,85889627,99844389,88467261,85889624,85889625,72296893,59562466,48175821,38266239,29700171,29700170,38266236,38266223,29700164,29700165,268944525,258133551,74834097,74834114,62037495,50545564,40509842,31813801,24298311,17915538,268264911,31813803,40509846,50545573,62037519,74834134,74834060,62037443,50545526,50545527,62037445,74834063,74834177,74834171,62037551,62037550,258297813,88467324,102470566,116567567,102468910,88465502,74832320,71088711,71088710,62037540,50545605,40509869,31813816,31813815,40509866,50545603,62035873,74832363,71088724,71088725,62037545,58364333,58364334,47002328,37116453,28606819,21372444,21372445,28606823,37116458,47002334,58372492,71088706,71088704,58372455,58372456,62035847,62035846,270289258,47002282,40509840,40509841,50544058,62035850,74832335,88465517,74834164,74834166,88467316,102468924,102468923,98574236,84651210,84651211,98574238,84651233,71088741,58372489,58372490,71088744,84651239,98574262,98574228,84651197,71088681,58372425,58372427,71088684,58372484,47002327,47002326,58372480,71088666,71088665,71088748,58372497,47002338,37116463,256319452,15391788,10637204,10637202,15391785,21372438,28606809,37116441,47002303,58372433,71088691,84651200,84651187,74832381 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12347154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14023721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14023721, s2 = 12415464, int(edited[s2]) = 0 s1 = 14023721, s2 = 12415464, d1 = 22, d2 = 18 Dl.O(d1) = 7192238,4531018,2723667,2723666,3269023,3269024,5320148,8248114,11392568,7569347,7569346,7569348,7569349,11392570,16370168,16370171,16370172,22545856,16370160,11392563,11392562,16370157,22545853,21501393,15494152,15494151,21501391,22542345,16367009,11390104,11390103,16367007,15495851,10716322,7079987,7079988,10716324,15495854,11390293,10715068,10715067,15494368,15494787,10715369,7079155,7079156,7567639,7567640,10714899,15494191,15495350,15495349,21502165,21501340,15494087,10714791,10714792,15494090,21501342,21503349,21503348,28761173,28761835,28761834,21502213,21501626,21501624,21503515,16369850,15495691,11389768,11389769,11390051,11390052,11390142,7567350,7567349,11390138,15495388,21502262,21502263,21501463,15494214,15494215,11155699,11155698,7399360,4674368,2816090,2816089,4674364 Dl.O(d2) = 23576845,17265303,12144905,8174653,5244235,3202844,3202845,5244238,8174658,10715757,10715758,15495239,21502792,17265283,17265284,16062562,16062560,22190332,22190331,23792991,31278845,31625416,29312859,28760973,21501358,15494109,15494108,21501357,17461303,12309885,8314582,8314586,8314577,8314576,10715222,15494626,21501772,21501769,15494482,15494480,21501761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14023721, s2 = 12415464, dlinesl.size( ) = 2 s1 = 14023721, s2 = 12415464, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14023721, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 14119671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119671, s2 = 11107894, int(edited[s2]) = 0 s1 = 14119671, s2 = 11107894, d1 = 2, d2 = 1 Dl.O(d1) = 141587297,141587296,141587284,141587283,154244012,165997650,263179513,273367937,154665283,142021878,128659640,114759671,100711325,271360383,128659636,142021872 Dl.O(d2) = 141587297,141587296,141587284,128236868,260484332,86378050,258636832,30144247 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12731706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12610181, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 6420306, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6420306, s2 = 2357774, int(edited[s2]) = 0 s1 = 6420306, s2 = 2357774, d1 = 24, d2 = 16 Dl.O(d1) = 254114170,1358474,1341782,1341786,1362535,1362534,1341718,1341720,1362538,1362534 Dl.O(d2) = 64080684 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6420306, s2 = 2357774, dlinesl.size( ) = 2 s1 = 6420306, s2 = 2357774, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 6420306, Dl.E( ) = 32, 2.98e-05 seconds used appending s1 = 13177270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12731868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13304853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13304853, s2 = 14025661, int(edited[s2]) = 0 s1 = 13304853, s2 = 14025661, d1 = 6, d2 = 3 Dl.O(d1) = 268617348,22409578 Dl.O(d2) = 28295171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13304853, s2 = 14025661, dlinesl.size( ) = 12 s1 = 14265026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11316115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316115, s2 = 8089186, int(edited[s2]) = 0 s1 = 11316115, s2 = 8089186, d1 = 47, d2 = 49 Dl.O(d1) = 131354345,262745340 Dl.O(d2) = 39897662,39897663,255556108,19642675,19642674,26376092,25609336,25609337,33374115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316115, s2 = 8089186, dlinesl.size( ) = 24 s1 = 12610663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12610711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10601683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10601683, s2 = 12610712, int(edited[s2]) = 0 s1 = 10601683, s2 = 12610712, d1 = 10, d2 = 17 Dl.O(d1) = 273755706,274020492,274573123,231879424,274365538,235239782,235239785,234226805,233112256,231879426,230510066,264585466,227228358,264833746,265261602,234226803,235239781,265767304,265907632,265907630,231879418,230510059,228971376,227228356,225233556,222939510,222939511,264308314,228971378,265058522,233112247,274217168,228971376,227228356,225233556,222939510,220277670,262850268,208747456,203133865,196436421,196436419,261336186,203133861,263273454,264833738,274020490,274217170,265446588,235239778,266036360,266263776,239691322,274675914,266154938,237002173,236161771,265614216,233112244,231879414,264833740,264000264,222939506,264308312,225233550,264308310,274125642,265261596,228971371,264308308,273399960,208747450 Dl.O(d2) = 260765760,203133859,208747451,213360367,217137017,274302869,262850270,208747458,203133865,196436421,188614803,179590724,169344426,157922843,258929080,260168470,196436428,261877170,213360380,217137029,263655598,225233564,227228358,264833744,265261600,265767302,264585464,264000266,217137018,213360375,208747458,203133865,262381978,262381980,261336188,188614804,179590725,179590726,188614808,196436426,203133872,262381982,217137021,220277667,217137020,213360371,208747454,203133862,262850266,220277662,220277667,217137020,213360371,213360370,213360375,208747458,203133865,196436421,188614803,179590724,169344426,169344427,179590726,188614808,261336190,208747461,213360377,262850274,262381972,203133856,260765758,258929078,269420428,256563674,90147909,90147908,104288131,118459119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10601683, s2 = 12610712, dlinesl.size( ) = 8 s1 = 11166417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166417, s2 = 11012974, int(edited[s2]) = 0 s1 = 11166417, s2 = 11012974, d1 = 20, d2 = 11 Dl.O(d1) = 256887654,255291598,10825179,7154622,7154621,5751188,3581042,2133894,1231269,1231270,2129357,3572330,5736963,8806966,8823012,5780158,3602083,3602088,5780121,7650430,7650426,8817419,8817418,5832863,3639542,3639543,5832856,8811244,8807794,8807795,12945614,18246034,12943274,8805894,8805893,12943270,18246028,18255472,12952227,12952226,254454412,6092092,6092091,7420387 Dl.O(d2) = 9300097,13582395,9363310,6133207,254661465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166417, s2 = 11012974, dlinesl.size( ) = 16 s1 = 14853351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14307727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12732388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11148068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351321, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12611929, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299985, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11143645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11143645, s2 = 14077650, int(edited[s2]) = 0 s1 = 11143645, s2 = 14077650, d1 = 15, d2 = 30 Dl.O(d1) = 256335773 Dl.O(d2) = 254953002,6031839,3773489,2708150,2708155,2708683,2708684,2708592,2708598,2263120,2263124,2263120,2263124,2263120,2263124,2263120,2263124,2263120,1569385,892407,892409,1569319,1569272,1569270,2708244,4506872,7156169,10826945,15644263,21683539,28965492,37508831,47416564,58803756,71532770,85103915,85103916,99028304,113015946,126867763,140214130,152903932,152903922,269492160,164734629,152903936,140214135,127362383,127362382,126072457,112216229,106780113,106780112,121034937,134834296,126641371,112783057,98790481,84862058,84862059,271307293,126641377,139443804,126072456,126072455,139443802,139443807,134834279,121034918,106780094,92473572,92473570,101726393,87753880,87753881,101726395,115771341,120836422,106587872,92289479,78262342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11143645, s2 = 14077650, dlinesl.size( ) = 2 s1 = 11143645, s2 = 14077650, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11143645, Dl.E( ) = 34, 1.1e-05 seconds used appending s1 = 14053605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11125521, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12612519, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15518288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15518288, s2 = 1276887, int(edited[s2]) = 0 s1 = 15518288, s2 = 1276887, d1 = 53, d2 = 73 Dl.O(d1) = 74225616,87830624 Dl.O(d2) = 18105771,24539469,32117044,40890928,51028397,62654469,75596690,89357804 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15518288, s2 = 1276887, dlinesl.size( ) = 26 s1 = 15279494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15279494, s2 = 14088612, int(edited[s2]) = 0 s1 = 15279494, s2 = 14088612, d1 = 11, d2 = 9 Dl.O(d1) = 7015070,4410850,4410849,254731425,15379748,255828721,37094389,46977717,58347109,71063569,84627237,84627239,71063570,258671787,58347122,46977725,37094391,37094392,37094394,268612018,15379750,15379751,21357101,28588072,37094398,46977729,58347128,71063583,71063568,71063569,84627237,84627239,71063570,58347110,58347111,58347120,58347121,58347119,58347118,46977727,46977722,46977723,58347118,58347126,71063575,58347115,46977720,37094400,28588075,21357103,15379753,15379754,256318636,15379748,255828721,37094389,37094383,37094384,46977719,58347112,71063573,71063580,71063579,58347130,46977733,37094402,37094403,46977732,37094402,28588076,21357104,15379753,15379754,256318636,15379748,255828721,37094389,46977717,58347109,71063569,84627237,84627239,71063570,258671787,71063578,58347119,58347118,58347126,71063575,58347115,46977720,37094400,28588075,21357103,15379753,15379754,256318636,15379748,255828721,37094389,46977717,58347109,71063569,84627237,84627239,71063570,258671787,58347122,46977725 Dl.O(d2) = 28588069,37094395,46977722,37094390,37094392,46977726,58347124,71063581,84627233,84627234,71063585,58347129,269778897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15279494, s2 = 14088612, dlinesl.size( ) = 2 s1 = 15279494, s2 = 14088612, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15279494, Dl.E( ) = 12, 6.91e-06 seconds used appending s1 = 11550465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11053647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053647, s2 = 9538497, int(edited[s2]) = 0 s1 = 11053647, s2 = 9538497, d1 = 64, d2 = 104 Dl.O(d1) = 255467104 Dl.O(d2) = 133987448,120146188,105934118,259672071,77798851,64616344,52716073,42328969,33347601,25587435,18978626,13542457,13542456,9270854,6072598,3799562,3799563,6072234,6071481,6071482,9269298,13540485,10652333,7033840,4425207,4425208,7033843,10652336,255401207,10652334,255033685,10652335,10652336,255401209,21396631,28636600,37151866,47042280 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053647, s2 = 9538497, dlinesl.size( ) = 20 s1 = 11384339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14074220, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14074220, s2 = 14340491, int(edited[s2]) = 0 s1 = 14074220, s2 = 14340491, d1 = 37, d2 = 26 Dl.O(d1) = 71530883,85101963,260547849,140212145,152902163,164733133,175486268,185025878,175486264,164733131,261477610,140212145,152902164,164733135,175486271,185025891,193356052,264191955,211530851,206541745,200504790,193356039,185025880,175486267,175486268,185025883,193356041,264079620,200504783,200504800,193356049,193356050,264479181,211530855,211530854,211530851,206541745,200504790,193356039,193356038,263373322,185025885,273706403,185025877,185025893,185025876,185025875,193356037,200504784,206541741,206541752,200504796,193356045,193356046,193356035,185025874,185025873,193356033,200504782,206541742,206541746,206541751,206541755,200504801,193356049,193356050,264479181,211530855,211530854 Dl.O(d2) = 265228769,265587557,224732466,265149228,216315112,265022757,265885551,228593840,265520236,216315112,212365871,207533986,201674643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14074220, s2 = 14340491, dlinesl.size( ) = 2 s1 = 14074220, s2 = 14340491, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14074220, Dl.E( ) = 40, 1.69e-05 seconds used appending s1 = 12733716, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11193551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11193551, s2 = 14299373, int(edited[s2]) = 0 s1 = 11193551, s2 = 14299373, d1 = 32, d2 = 23 Dl.O(d1) = 63005558,254468704,38849449,30265534,30265533,38849448,48769367,60163751,256213804,268547204,86497077,100455609 Dl.O(d2) = 131384259,259153764,114480805,100455616,256739078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11193551, s2 = 14299373, dlinesl.size( ) = 24 s1 = 11429483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429483, s2 = 14301651, int(edited[s2]) = 0 s1 = 11429483, s2 = 14301651, d1 = 25, d2 = 46 Dl.O(d1) = 181475588,171462897 Dl.O(d2) = 264694389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429483, s2 = 14301651, dlinesl.size( ) = 42 s1 = 10546567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485747, s2 = 11226890, int(edited[s2]) = 0 s1 = 11485747, s2 = 11226890, d1 = 15, d2 = 18 Dl.O(d1) = 273770999 Dl.O(d2) = 157696641,145285353,145285354,260218420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485747, s2 = 11226890, dlinesl.size( ) = 20 s1 = 12614539, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12614539, s2 = 4493037, int(edited[s2]) = 0 s1 = 12614539, s2 = 4493037, d1 = 0, d2 = 0 Dl.O(d1) = 109872478,124011694,137693015,150688370,162781071,173778533,183545750,186701801,186701799,177385190,166836975,166836976,166836978,155143329 Dl.O(d2) = 109872478,124011694,137693015,150688370,162781071,173778533,183545750,186701801,186701799,177385190,166836975,166836976,166836978,155143329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12614539, s2 = 4493037, dlinesl.size( ) = 2 s1 = 12614539, s2 = 4493037, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12614539, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11516731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15279663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11729995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14308274, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11368939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10844033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11500637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12735582, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436629, s2 = 15993074, int(edited[s2]) = 0 s1 = 11436629, s2 = 15993074, d1 = 102, d2 = 86 Dl.O(d1) = 263458850,176025397,165333385,262704125,185496864,263892337,200849568,193762223,193762208,193762169,185496863,176025396,176025395,185496861,193762167,185496889,176025417,165333399,261598816,140868122,153543039,165333401,176025420 Dl.O(d2) = 153543033,140868117,127512855,127512854,140868114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436629, s2 = 15993074, dlinesl.size( ) = 22 s1 = 14175876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14175876, s2 = 11649266, int(edited[s2]) = 0 s1 = 14175876, s2 = 11649266, d1 = 29, d2 = 19 Dl.O(d1) = 176905085,186282383,185475771,263140598,175988777,165292815,153496771,140815530,259980894 Dl.O(d2) = 262684929,185274233,193572399,200685351,206686948,211645932,264976355,215699880,214527689,210229711,210229712,264565362,177349042,262343010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14175876, s2 = 11649266, dlinesl.size( ) = 24 s1 = 13372663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11394818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394818, s2 = 6847879, int(edited[s2]) = 0 s1 = 11394818, s2 = 6847879, d1 = 17, d2 = 15 Dl.O(d1) = 192555488,199829448,205977987,211061444,215071226,210895975,263819708,192299080,183821364,183821365,185479375,176006115 Dl.O(d2) = 163303001,261596712,260464078,259243606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394818, s2 = 6847879, dlinesl.size( ) = 2 s1 = 11394818, s2 = 6847879, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11394818, Dl.E( ) = 18, 8.11e-06 seconds used appending s1 = 11058105, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11058105, s2 = 10504569, int(edited[s2]) = 0 s1 = 11058105, s2 = 10504569, d1 = 32, d2 = 50 Dl.O(d1) = 256919661,59251254,71988316 Dl.O(d2) = 231178982,265846752,228107351,265701006,226252856,228107343,226252872,224122602,221666711,218806882,218806883,221666714,265367676,218806863,215420733,215420734,218806864,221666683,224122573,224122598,265696651,265842803,228107348,228107339,226252847,224122571,265538161,228107337,226252850,265367678,218806867,218806868,221666689,224122578,265696649,224122590,221666703,218806878,215420740,215420739,218806876,221666700,224122587,226252861,224122593,221666705,264964022,211323268,206309391,206309390,211323266,215420738,218806873,221666695,224122582,265542796,224122577,224122604,224122603,226252874,228107351,265701006,226252856,228107343,226252872,224122602,221666711,218806882,218806883,221666714,224122606,226252877,274460158,224122596,224122595,226252868,265696651,226252849,226252848,224122579,224122580,226252856,228107343,265842805,228107342,226252866,224122593,221666705,264964022,211323268,206309391,206309390,211323265,215420736,218806870,221666692,224122580,226252856,228107343,265842805,228107342,226252866,224122593,221666705,264964022,211323268,206309391,206309390,211323266,215420738,218806873,221666695,224122582,265542796,224122577,221666716,218806884,218806883,221666714,224122605,226252858,274339906,218806871,265175460,211323268,206309391,206309390,211323266,215420738,218806873,221666695,224122582,265542796,224122577,221666716,218806884,218806883,221666714,224122606,226252877,274460158,224122596,221666706,218806879,215420742,211323269,211323270,215420745,218806885,221666695,224122582,265542796,224122577,221666716,218806884,218806883,221666714,224122606,226252877,274460158,224122596,224122595,226252868,265696651,226252849,224122572,224122573,221666707,218806879,215420742,211323269,206309392,206309393,206309389,200245458,193065954,184699383,175116860,164316884,152442677,139716888,126341304,271767634,98712545,84784520,71215445,257432400,37218101,28693086,21442094,15446537,10679518,7054496,4440879,4440880,254734371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11058105, s2 = 10504569, dlinesl.size( ) = 28 s1 = 12736262, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7096672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7096672, s2 = 11151020, int(edited[s2]) = 0 s1 = 7096672, s2 = 11151020, d1 = 27, d2 = 28 Dl.O(d1) = 262516143 Dl.O(d2) = 255171490,11306679,7506800,4745205,2859819,1659817,944477,532745,298841,298842,532748,944487,1659834,2859844,4745186,7506770,11306631,16262347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7096672, s2 = 11151020, dlinesl.size( ) = 8 s1 = 14308586, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14308602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14308603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12618719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12974898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4258495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4258495, s2 = 2315361, int(edited[s2]) = 0 s1 = 4258495, s2 = 2315361, d1 = 27, d2 = 1 Dl.O(d1) = 163862478,174679836,263475879,199960533,206077845 Dl.O(d2) = 61998055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4258495, s2 = 2315361, dlinesl.size( ) = 24 s1 = 11491331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8721894, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14121291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11031953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11031953, s2 = 7114587, int(edited[s2]) = 0 s1 = 11031953, s2 = 7114587, d1 = 40, d2 = 52 Dl.O(d1) = 14985044,254708437,254808739,3008180,1747497,1747494,3008171,4979898,7845160,5206563,5206562,254830359 Dl.O(d2) = 207315485,207315487,201409733,263582083,262758459,273119416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11031953, s2 = 7114587, dlinesl.size( ) = 40 s1 = 10522478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12737260, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10482898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12619945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12620021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15280187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14214731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7320934, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7320934, s2 = 11356832, int(edited[s2]) = 0 s1 = 7320934, s2 = 11356832, d1 = 38, d2 = 42 Dl.O(d1) = 265388040,216165783,216165782,219461723,222245786,224635361,226710563,228519675,228519743,226710624,226710623,228519745,230109289,231520237,230510210,228971517,227228514,225233724,222939680,220277830,220277832,222939685,225233735,225233751,222939697,220277845,220277844,220277853,220277847,220277848,222939702,225233756,264600496,226710602,224635381,224635380,226710600,228519693,226710580,265271816,230109246,230510178,228971498,228971499,265070004,228519742 Dl.O(d2) = 216165792,219461739,222245808,224635358,222245807,219461738,216165791,212188194,207318606,207318605,212188187,216165781,219461721,222245783,224635358,224635391,265561578,222245806,219461738,216165791,212188194,207318606,201412981,194395931,263146276,141815380,141815379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7320934, s2 = 11356832, dlinesl.size( ) = 52 s1 = 11535181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535181, s2 = 14152874, int(edited[s2]) = 0 s1 = 11535181, s2 = 14152874, d1 = 0, d2 = 47 Dl.O(d1) = 227173545 Dl.O(d2) = 239089657,239676323,266875093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535181, s2 = 14152874, dlinesl.size( ) = 46 s1 = 11508657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511091, s2 = 11475876, int(edited[s2]) = 0 s1 = 11511091, s2 = 11475876, d1 = 1, d2 = 77 Dl.O(d1) = 221282770 Dl.O(d2) = 264668010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511091, s2 = 11475876, dlinesl.size( ) = 46 s1 = 11564519, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14213526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14213526, s2 = 8993821, int(edited[s2]) = 0 s1 = 14213526, s2 = 8993821, d1 = 23, d2 = 29 Dl.O(d1) = 60147488,60147487 Dl.O(d2) = 243548269,243548268,243812129,244057215,244284913,244496392,244693804,244878174,245051995,245214819,245367586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14213526, s2 = 8993821, dlinesl.size( ) = 2 s1 = 14213526, s2 = 8993821, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14213526, Dl.E( ) = 34, 1.19e-05 seconds used appending s1 = 11567825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567825, s2 = 14003910, int(edited[s2]) = 0 s1 = 11567825, s2 = 14003910, d1 = 3, d2 = 5 Dl.O(d1) = 266458701,236969902,237740694,238440797 Dl.O(d2) = 266874111,240713339,241179208,241610444,241179210,241179209,241610445,242009384,242377191,266989064,241425326,240978408,266776764,239974942,240495315,240978412,241425327,241839505,242222299,267074410,243213253,243501115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567825, s2 = 14003910, dlinesl.size( ) = 2 s1 = 11567825, s2 = 14003910, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11567825, Dl.E( ) = 10, 6.91e-06 seconds used appending s1 = 11442109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442109, s2 = 11568310, int(edited[s2]) = 0 s1 = 11442109, s2 = 11568310, d1 = 17, d2 = 6 Dl.O(d1) = 273753061,274124009,274295429 Dl.O(d2) = 266033747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442109, s2 = 11568310, dlinesl.size( ) = 20 s1 = 11573753, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11584937, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12621415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11514177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11586869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586869, s2 = 11379062, int(edited[s2]) = 0 s1 = 11586869, s2 = 11379062, d1 = 30, d2 = 61 Dl.O(d1) = 266566328 Dl.O(d2) = 39971950,44641011,35256516,27157482,27157481,35256514,44641009,255072630,67832231,81298023,95353976,268938294,123793744,258111446,150544665,162663410,173684346,272204650,261155954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586869, s2 = 11379062, dlinesl.size( ) = 18 s1 = 14308883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12621992, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13932703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11578171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9015004, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11638817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638817, s2 = 7532623, int(edited[s2]) = 0 s1 = 11638817, s2 = 7532623, d1 = 0, d2 = 57 Dl.O(d1) = 246778313,275069563,275075446 Dl.O(d2) = 246923977,246865304,246804323,246804324,246865306,246865309,246865307,246804325,246741098,267556688,246449696,246365828,246276955,275031142,267480504,245865240,245746136,245619075,245482479,245337070,267363916,244843558,244657533,244457919,244243729,244012573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638817, s2 = 7532623, dlinesl.size( ) = 32 s1 = 11148397, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11286147, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10389446, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142275, s2 = 10393590, int(edited[s2]) = 0 s1 = 14142275, s2 = 10393590, d1 = 23, d2 = 0 Dl.O(d1) = 225977018,274329221 Dl.O(d2) = 14637257 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142275, s2 = 10393590, dlinesl.size( ) = 48 s1 = 12739476, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12623363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12623363, s2 = 11466866, int(edited[s2]) = 0 s1 = 12623363, s2 = 11466866, d1 = 62, d2 = 9 Dl.O(d1) = 200126533,206205641,211232006,215338728,265163177,221596249,221596248 Dl.O(d2) = 194770133,263473664,166772128,166772127,177327228,263600443,201717290,264165191 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12623363, s2 = 11466866, dlinesl.size( ) = 6 s1 = 12739538, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14309026, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10600579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10674670, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10674670, s2 = 11529266, int(edited[s2]) = 0 s1 = 10674670, s2 = 11529266, d1 = 13, d2 = 30 Dl.O(d1) = 260985679,150320472,162456271,263796449,264418711 Dl.O(d2) = 214857304,265135739,223742093 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10674670, s2 = 11529266, dlinesl.size( ) = 36 s1 = 11198007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14069525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14069525, s2 = 11113112, int(edited[s2]) = 0 s1 = 14069525, s2 = 11113112, d1 = 34, d2 = 24 Dl.O(d1) = 62068627,74867058,88503354,102511504,116615394,259368476,143788210,156312934,153547174,140872000,258090320,258090318,140871998,153547173 Dl.O(d2) = 258714116,257480190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14069525, s2 = 11113112, dlinesl.size( ) = 22 s1 = 11352657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11352657, s2 = 5600107, int(edited[s2]) = 0 s1 = 11352657, s2 = 5600107, d1 = 50, d2 = 27 Dl.O(d1) = 262643256,269775875,46841968,36963020,36963021,269308451,21239934,15272009,268204323,28463471 Dl.O(d2) = 229377305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11352657, s2 = 5600107, dlinesl.size( ) = 16 s1 = 10983343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983343, s2 = 7158186, int(edited[s2]) = 0 s1 = 10983343, s2 = 7158186, d1 = 93, d2 = 116 Dl.O(d1) = 2263118,2263226,2263225,3778412,6033814,6756174,257386615,70366079,83890528,270556498,125467575,261600609 Dl.O(d2) = 263358793,264067095,204093756,209525850,213983159,217642362,220696380,223294615,225540605,227494421,227200485,225200095,222898494,220226105,217070185,213271119,264327147,196236302,188354893,179305809,169020917,157559871,145127151,131870101,118045497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983343, s2 = 7158186, dlinesl.size( ) = 34 s1 = 11629157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629157, s2 = 13939079, int(edited[s2]) = 0 s1 = 11629157, s2 = 13939079, d1 = 17, d2 = 16 Dl.O(d1) = 274989960,243549253,243549254,243813131 Dl.O(d2) = 242961453,242636131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629157, s2 = 13939079, dlinesl.size( ) = 28 s1 = 10980411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980411, s2 = 11303176, int(edited[s2]) = 0 s1 = 10980411, s2 = 11303176, d1 = 64, d2 = 42 Dl.O(d1) = 254393477,254836945,268435015,12170443,12170444 Dl.O(d2) = 259397343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980411, s2 = 11303176, dlinesl.size( ) = 60 s1 = 14496192, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14496192, s2 = 567575, int(edited[s2]) = 0 s1 = 14496192, s2 = 567575, d1 = 50, d2 = 31 Dl.O(d1) = 255292560,13433988,254457152 Dl.O(d2) = 14544387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14496192, s2 = 567575, dlinesl.size( ) = 38 s1 = 15231531, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15054829, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15539674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15231907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12741134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12741436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12343051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8552013, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12742608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1769376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12628751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15310033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14034755, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10584199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15281503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14509342, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11500913, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500913, s2 = 14129693, int(edited[s2]) = 0 s1 = 11500913, s2 = 14129693, d1 = 32, d2 = 25 Dl.O(d1) = 263649424 Dl.O(d2) = 257686358 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500913, s2 = 14129693, dlinesl.size( ) = 36 s1 = 11292189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14740241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15775990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10469632, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15142038, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12329608, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5797847, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12747768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14048937, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048937, s2 = 15303273, int(edited[s2]) = 0 s1 = 14048937, s2 = 15303273, d1 = 17, d2 = 14 Dl.O(d1) = 28280819,21075922,21075923,28280821,256834045,46662161 Dl.O(d2) = 258023243,258023245,84300784 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048937, s2 = 15303273, dlinesl.size( ) = 14 s1 = 10388618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10388618, s2 = 13989660, int(edited[s2]) = 0 s1 = 10388618, s2 = 13989660, d1 = 42, d2 = 40 Dl.O(d1) = 243726335,243977658,244210882,244210888,244427228,267280668,243454681,243454680,267254314,267196918,242851547,242517610,242517611,242851548 Dl.O(d2) = 267213231,267317669,243977609,243726273,243454609,243162603,242851495,242517572,242158704,267114429,267182303,243454613,267268673,243977670,267254304,243162588,267130828,267149357,267213229,243726261,274967069,244628526,267398917,244992912,267349298,244427221,244210863,243977613 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 12637601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11429881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11429881, s2 = 10989446, int(edited[s2]) = 0 s1 = 11429881, s2 = 10989446, d1 = 74, d2 = 61 Dl.O(d1) = 274384807,265913888,235427080,266268640,237913496,238175023,237450962,237450961 Dl.O(d2) = 258723570,31084967,23600957,23600958,31084969,39763147,42660297,33631244,32320293,24705891,24705892,32320296,36867922,256935806,36928296,36928298,46806651,36928329,36917649,28419808,28419807,36917647,46795415,37418051,37418052,29602231,22252589,16114435,11193591,11193592,16114438,22252598,29602248,38169192,48082025,41406677,32548530,24899181,18396463,18396462,24899179,32548526,257515976,60767528,65221902,53233381,51503211,51503212,59335632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11429881, s2 = 10989446, dlinesl.size( ) = 70 s1 = 15201001, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11224459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11224459, s2 = 14166499, int(edited[s2]) = 0 s1 = 11224459, s2 = 14166499, d1 = 16, d2 = 28 Dl.O(d1) = 258746818,116505145 Dl.O(d2) = 208103156,202336139,195476121,187455302,187455303,194003496,262569602,207008773,208103154,212857915,264417536,222687121,274071460,264124038,273496988,201060162,194003497,185766508,176321008,165650144,165650143,165650144,259778892,48258077,254968402,29775927,38347567,30038098,25144334,254914728,25303800,258389698,254324201,254324197,6793347,9068912,5930080,4253643,4253646,4294193,4235460,4235459,5943769,5943770,6854238,5934105,3710440,2221978,2221979,3710443,5934108,8472701,8472700,12507206,17684978,255544580,50246078,268986728,88117301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11224459, s2 = 14166499, dlinesl.size( ) = 24 s1 = 12637655, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10462362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11108887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12747858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10498141, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10498141, s2 = 11316998, int(edited[s2]) = 0 s1 = 10498141, s2 = 11316998, d1 = 1, d2 = 18 Dl.O(d1) = 29566042 Dl.O(d2) = 259989635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10498141, s2 = 11316998, dlinesl.size( ) = 30 s1 = 11088613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088613, s2 = 13448092, int(edited[s2]) = 0 s1 = 11088613, s2 = 13448092, d1 = 35, d2 = 26 Dl.O(d1) = 255501651,11609185,7728976,7728975,7728923,4892493 Dl.O(d2) = 257311544,61607360,61607362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088613, s2 = 13448092, dlinesl.size( ) = 28 s1 = 12747922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11482767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482767, s2 = 14109322, int(edited[s2]) = 0 s1 = 11482767, s2 = 14109322, d1 = 24, d2 = 29 Dl.O(d1) = 207444209,263352934,186430009,177074790 Dl.O(d2) = 186430008,273449946,264062188,207444210,263352934,262938796,177074794,166493316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482767, s2 = 14109322, dlinesl.size( ) = 30 s1 = 11262853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262853, s2 = 11453296, int(edited[s2]) = 0 s1 = 11262853, s2 = 11453296, d1 = 34, d2 = 49 Dl.O(d1) = 258418231,260882736,2275949,255270043 Dl.O(d2) = 90792001,269975757,32767620,32767621,38822218,46928463,37050474,28550672,21325904,15353941,10606924,6998472,6998471,10606922,15353938,21325901,19616453,14057136,14057137,256705957,258086630,22129754,23289933,23289932,21784276,15725401,15725400,20069149,20069150,21782245,23932042,21822429,15755740,15755741,15724567,10887967,7199896,7198808,4535375,4535377,7198818,10886689,15723345,21605011,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,4547487,7217465,7217237,4547353,4547354,7217245,10912913,15757826,21779867,28281781,28281799,21076788,15139701,10441924,10441923,15139699,21076783,28281788,36777863,36777871,37303104,28769731,21508795,21508793,28769728,32984420,25260988,25260989,28769720,28769721,36878144,35015111,28831420,28831422,37371008,43170454,34087118,26226105,19511182,19511183,20292577,20292576,262589361,262250220,263163848,214979080,265824687,230990866,230990870,229522946,265395142,230990868,232306570,230990867,229522943,264996674,264996672,264511044,263556032,205625575,262250222,262727440,263556030,264766314,223831634,264226742,214979077,263163846,263163848,214979079,264226744,264766312,221343146,221343147,264996676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262853, s2 = 11453296, dlinesl.size( ) = 52 s1 = 10658674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10707146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12748098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10781867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10781867, s2 = 11556854, int(edited[s2]) = 0 s1 = 10781867, s2 = 11556854, d1 = 15, d2 = 14 Dl.O(d1) = 266347771,232842901,232842900 Dl.O(d2) = 266015965 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11656743, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15282367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282367, s2 = 9720020, int(edited[s2]) = 0 s1 = 15282367, s2 = 9720020, d1 = 57, d2 = 44 Dl.O(d1) = 60475468,257008631,30543449,257008633,23905094,17561185,12390359,8373123,5403878,3322362,1954139,1954140,3322365,5403883,3324674,3324433,3324432,3325052,3324733,3324732,5408121,3324772,3324776,5408200,8380276,12384159,12407230,12407228,10569097,10569096,10950316,7246874,7246876,7246917,4569238,4569233,7246928,10950416,15803362,16895266,12399298,8379569,8366164,8366163,8365689,8286884,5589968,5589969,8380176,9767717,9767720,7679859,7679858,11543502,12263474,8281774,8281778,8366808,12278772,12278773,17421085,23746403,255672708,20970984,20970985,28149228,23728204,23728205,23158067,16896708,16896709,23158070,30575267,28149123,23701698,17379329,12246901,8271460,5337381,3281029,254398987,8271450,268252895,49895861 Dl.O(d2) = 189085205,180135403,169961068,158596875,261409799,119159926,260245131,90790300,76915233,63808184,51992825,41681647,32765736,25069244,18527346,13322209,9102146,9102145,13322203,18715505,25288422,33013387,32182481,32182482,40961600,41509919,32626317,24958463,18441118,18441119,24958467,32626322,33881784,35357587,35357588,44781683,36583611,36583610,32765780,32765781,27234684,20305175,14571836,14571837,20305176,27234688,33218414,25471771,20877549,254693144,4249634,255362447,28045508,36509205,46367436,43041771,33984295,33984294,268075520,54625515,255049022,94368592,108656421,122921493,136753475,149895050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282367, s2 = 9720020, dlinesl.size( ) = 26 s1 = 11051745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051745, s2 = 10926299, int(edited[s2]) = 0 s1 = 11051745, s2 = 10926299, d1 = 22, d2 = 20 Dl.O(d1) = 20265474,20265475,256234563,257928361,59390202,258654927,58140108,58140107,70854499,64239910,52383819,52383820,262465625,273443915,197303992,203860417,264506834 Dl.O(d2) = 203860416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051745, s2 = 10926299, dlinesl.size( ) = 32 s1 = 12638467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11284229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11284229, s2 = 7698052, int(edited[s2]) = 0 s1 = 11284229, s2 = 7698052, d1 = 30, d2 = 71 Dl.O(d1) = 258754450 Dl.O(d2) = 256087227,257152593,51532315,63248699,76267391,90079224,104211074,271956233,272960179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11284229, s2 = 7698052, dlinesl.size( ) = 14 s1 = 11362237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11362237, s2 = 11291502, int(edited[s2]) = 0 s1 = 11362237, s2 = 11291502, d1 = 92, d2 = 108 Dl.O(d1) = 268482466,87731727 Dl.O(d2) = 129759930,129759929,129759928,115861456,101815325,87841140,87841139,74235999,74236000,61456720,61456719,74235995,61456715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11362237, s2 = 11291502, dlinesl.size( ) = 40 s1 = 11167531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167531, s2 = 10997363, int(edited[s2]) = 0 s1 = 11167531, s2 = 10997363, d1 = 2, d2 = 1 Dl.O(d1) = 257261800,26320283,19594477 Dl.O(d2) = 16981596,23239652,16969510,16953204,11890533,7980382,7980381,11894411,11894413,7955726,7955727,11897044,16981140,17004709,16985094,11932783,8352981,8352980,11888261,7997511,7997513,7949958,7941583,7941581,10774667,10774662,7932232,5042927,3058151,1782571,1016548,1016551,1782583,3058176,5048057,7937855,7944299,7791581,4940179,2981100,2981097,4940172,7791568,11684407,7967189,7967190,7977370,5080131,5080130,7982065,11927004,11927031,17012608,23273673,23268015,254570058,7972111,5072770,5072768,7972108,11917335,16954750,254258774,23268858,17005536,17005537,11936819,11936818,16956963,17026205,11941141,7992083,5087085,3086345,1802013,1802016,3086355,5087104,7940874,5164434,5164433,7789480,7789481,7790394,5050089,5050087,7940612,8069841,5164087,3146854,1840806,1840803,3146844,3075977,3075974,5073009,7972403,7946193,5053375,3061467,3061468,5053382,3080498,3080499,5078735,7979853,9168326,13409835,18822449,23243262,16975909,11901384,7959488,7959489,267769706,23241285,16972615,11885098,7980074,254261200,5162267,5162268,7985619,11932860,10960978,10960977,15816482,254383676,11874603,7956134,5060458,3065895,3065892,5054810,5052113,5052110,3065238,1786802,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315292,5391451,7947096,7947094,11874901,11874902,11867877,11867876,254381098,16955636,16995643,11909946,7966503,5068452,3072236,3072235,5068449,7956165,5060478,5060482,6054299,5043358,3053852,1779297,1779296,3053847,5043349,7932701,11868608,16956423,19848489,21710597,17006022,11919375,11919374,14220164,11880902,7946589,7946590,11886155,16973603,14220172,9776138,9776137,11475973,8070837,254825259,8070889,5164858,5065408,3069581,3069580,5065405,5055222,3062506,254175231,573727,573726,1017965,1785163,3062502,5055198,3062491,3062492,5055201,7942350,7942349,11880570,16968557,11929159,11922969,11886638,11886637,16974024,15653672,15653671,16967584,11997671,11997673,17085199,17015918,11931446,11890602,7950375,5056424,3063368,3063367,5056420,7950364,7967224,7967225,11910789,15024014,15024013,11672947,7781964,7781962,7171390,4517123,4517122,7171384,10847736,15669603,16994001,16994002,16967350,16967349,23238506,16991298,11905969,7963423,5066040,3070173,1790092,1790093,3070177,5066050,7963439,7963505,8352851,11894654,11894653,16981167,15716535,10879747,10879748,15716536,21775819,29073773,37624746,47531330,38836714,30252878,268092168,16631931,22715765,255109704,11601587,7723021,4888448,2945817,1708418,1708417,2945815,4489137,2696925,1562279,1562278,2696923,4489133,7130707,10792949,7491750,4735298,2853588,2853589,4735302,7491760,11015025,7291847,4598259,4598260,7291849,11015027,7511021,7511022,254779345,4747894,2861315,2861317,4747900,7511030,255473199,256409991,38374436,268909038,49123203,268200342,23180090,16915149,16915150,23180091,30598855,24188393,24188392,31696036,28588588,28588589,255826904,29584724,22237010,22237011,24764406,18287162,18287163,24764408,32384864,41205143,32777258,25079985,18536737,18536738,25079987,32777261,31364761,31241473,28979819,21697540,18536743,18536742,13440986,13440987,18863999,23170232,23170231,29802647,29562621,29562620,255801614,29562543,22217121,268177330,15651712,10833415,10833414,15651710,21691846,22170409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167531, s2 = 10997363, dlinesl.size( ) = 2 s1 = 11167531, s2 = 10997363, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11167531, Dl.E( ) = 12, 2.41e-05 seconds used appending s1 = 14310687, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14262516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16334526, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16334526, s2 = 14322165, int(edited[s2]) = 0 s1 = 16334526, s2 = 14322165, d1 = 8, d2 = 7 Dl.O(d1) = 262835639,167724242,156120041,143583868,130255242,116418026,116418027,130255244,143583873,130255299,116418086,116418087,261859999,143583903,261317954,259535453,74702000,258910701,102325478,116418076,130255232,260149685,102325443,116418020,102325448,260149691,88329700,102325485,116418090,130255302,130255293,260149695,88329699,74702002,61908555,271989288,24181748,24181747,31690264,40383755,50418144,61908552,74701997,88329691,102325470,116418068,130255273,130255262,116418052,259535451,74701992,61908549,50418141,50418142,61908550,74701994,61918074,258288813,74711441,74711444,88339382,261318785,260158096,102335978,88339416,74711478,61918127,50428065,40394557,31702342,31702341,40394555,50428060,61918122,72739228,72739225,61777351,50297878,50297877,48611452,48611451,49092939,257590833,48611455,39163116,39163115,49092938,50428010,40394523,38695835,268956291,256465527,23148335,17704177,17704176,255588853,268004329,5563103,5563104,7894679,7894678,11816667,11816665,7894677,7894676,11816663,16887798,12621156,8567457,5563097,3446805,254418465,8567462,12621158,17825549,17825548,12621160,8567464,8567465,12621162,268118587,17825533,255198951,254613635,3446815,2040917,2040918,3446817,5563106,8567469,5563102,3446812,2040916,1169584,656388 Dl.O(d2) = 87754042,74149900,61369646,49888980,256508691,23694409,17372083,17372084,23694411,23792248,256011345,17450867,12301586,12301585,17450866,17271119,12149871,254579923,5249022,8179474,12149863,17271107,17372085,254818156,8270597,8270598,268109455,22312331,16166405,16166404,17376766,17376767,15553615,10757591,254504889,4474674,7107365,10757589,12299987,11231293,7452708,7452706,11231287,11229992,11229993,12273394,12594712,12594711,255148617,12036323,11241280,11235936,7456983,4711864,2838551,1646649,1646651,2838555,4711870,7456992,11231796,12274188,11234975,7456024,7456023,11234973,12623252,12623251,17827981,22315086,16170057,12274196,8289030,8289028,255125937,13197657,13197656,255191819,12526867,8488497,8488495,9190301,9190300,13440815,17415268,12677032,9188563,6014174,3761549,2253351,2253353,3761552,6014175,9188565,13439240,17710867,12528364,8489862,8489860,12528361,8495923,8495924,9190252,6015950,3763131,2254529,2254528,3763127,6015941,7897120,5018109,3035954,3035955,5018110,7897122,5550941,5550942,8553332,8485131,8485130,6016131,6016130,5490874,3381430,3381431,5490883,8489959,5559041,5559043,3459623,3459621,2051403,1176695,1176694,2051397,3459650,5514158,5514161,3762705,2254234,2254232,3762716,5530050,5530049,3433747,2030961,1163137,652709,361935,361936,652694,1163103,2030900,3429860,5544158,5569546,5506065,3394798,3394795,3427777,3764058,3416915,2017182,2000678,2000676,3394480,3764563,3764560,3763335,3763333,5527721,3453579,2060934,2060932,3474077,2254045,1308201,746837,424414,239591,239596,424429,746864,1308258,1160916,1160920,1308777,747162,747160,1308768,747206,424589,239678,132493,132494,239682,424599,747222,1308892,2027320,3429283,3762666,2837764,1646201,1646202,2837771,2252909,1307475,1307472,2252901,3376132,1987091,1135274,636992,636993,1135279,1987102,3376151,5485355,3762612,3762611,3434004,2031179,2005372,1146351,1146350,2005365,3379108,2034844,2034842,1308358,1308360,2254339,2049436,2049434,1308708,747130,747131,1308683,1308681,1308569,1308568,2254676,2255187,3764020,6017086,9190635,13441216,18864289,254922434,18862800,13439721,9189230,254444769,3762302,6014954,9189232,12609151,8557971,5554887,3439276,254417569,3434205,3434204,5548577,8549939,8482471,5483261,3762281,2253917,1308116,1308115,2253915,3762278,3439516,3439515,5533550,254278741,1155050,254190827,2038114,2038113,3443003,3433426,3433427,3439126,5554744,5485877,5100537,5021946,3039751,3039752,3450321,2043864,2043863,1314870,750437,750438,1314874,1136943,637873,354230,194228,106173,58453,32922,32924,58463,106195,108231,108230,198628,195101,195102,356032,641488,1143634,2000835,2005744,3381764,3381765,3401416,5514391,5515110,5526924,3413107,2014405,2014406,1769862,1769861,3039457,2025789,2025790,2035136,2035132,3439526,5555199,254871947,5558327,3443042,3443043,5558330,254604789,5485628,5546473,5546474,5547572,5575363,8484425,8484426,5548634,3434276,2031412,1163435,1163434,2031411,1989113,1989114,254410237,8484903,5485547,3441791,2036975,1166943,1166944,2036978,3428820,3037671,2030489,2030490,2025791,1159518,1159519,2025792,3427574,5542112,3428960,2027049,2024887,1168499,1168500,2039100,1313859,749927,426247,240737,240736,426246,749924,1313853,2264895,3780971,3419335,2019116,2019115,3419333,5533826,5565524,3449184,3414403,3414401,5528497,8516485,254609783,3414387,3414388,5528488,5560071,3444770,2039571,1767598,1007252,567693,567692,1007249,1767595,3036545,5018755,7894186,5014999,3033180,1765154,1005708,566773,317439,317438,566770,1005702,1765131,3033146,3039727,1770097,1770098,1146715,643287,643288,1146721,1988872,2023052,3424446,3378440,3378441,3038976,3038975,3443105,3443104,3781409,3781411,2265265,2265264,2820212,2820211,3378918,3378919,3432715,5547093,5557992,3442638,2037799,1167541,655275,655276,1107884,637718,637717,1136648,1989277,1136910,1136914,1172496,1172497,2045047,3397592,2035163,1165733,654215,654214,1165731,2035159,1768443,1768442,2005156,1146224,1146223,2005154,3400940,2022388,1157314,1142478,1142479,1998797,3391682,5500509,8498943,12537435,254870635,8544830,12593649,17792499,17812222,12610411,8559121,5556062,5556061,8559119,12610409,12597990,8548926,5547467,3433156,2030486,2030485,3433152,5547465,8548923,12597984,17797527,24165295,17913310,12691147,12691148,17913313,24295747,31810968,24589896,24589897,32176324,32176302,32176301,40955522,38310182,29741650,29741649,31179392,31178796,23689461,17367396,12235697,12235696,17367391,23689009,17367119,17367120,23689015,31178279,27094782,20195676,14490617,9970235,9970237,14490627,9970278,6552599,4104978,4104979,6552605,9970288,14490713,20195815,23688812,24588610,31179523,39862093,257187011,257187009,36778044,36778043,33049336,25320936,25320935,31692129,40307007,40256413,40256414,40954194,34984828,26904554,20021536,255737007,34984825,44362734,55213845,55213848,44362736,44362737,55213849,49954715,49954714,61432713,74211858,74211866,61432719,49954725,39937469,31262432,23777253,17447337,12298690,8306317,8306315,12298687,17447334,23777249,256514865,49954718,40955047,40955048,41412819,41412817,49954811,39937600,31262560,31262558,268993739,55484000,44633911,44633910,35258341,27159235,20247407,20247406,271553404,67834334,67834336,62729139,258328787,67834325,55492945,49954808,49954809,61432795,74211943,87815826,259053682,62729138,62729137,75675514,257923487,268831387,255755785,20240684,27151236,35249564,44633916,257923489,74211869,257644075,49954727,61432724,258875583,74211942,258875589,55484001,55484002,67825523,81216505,67750008,257318659,35183581,35183582,44561901,55409507,67750013,81216510,81216509,67750011,67750010,81216507,95274361,109529664,123721867,137450208,150485674,162609873,173635966,263440343,273501081,162609889,272463619,123721874,109529670,260407701,261374620,150540626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16334526, s2 = 14322165, dlinesl.size( ) = 2 s1 = 16334526, s2 = 14322165, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16334526, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 10982973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16340562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16340562, s2 = 10983132, int(edited[s2]) = 0 s1 = 16340562, s2 = 10983132, d1 = 10, d2 = 12 Dl.O(d1) = 12701058,12701059,12701057,8628992 Dl.O(d2) = 254194803,267850189,268005957,8628998,5611065,3485081,3485082,5611063,5611064,254618857,3485071,5611056,8628989,5611065,3485081,3485082,5611063,5611064,8628997,12701055,12701056,8628992,5611060,3485077,2069408,1188185,667543,254090985,110595,60687,34102,34106,60711,34295,34300,61194,111604,204426,203192,203191,371053,668429,254194939,2070877,254116066,8633021,6466135,6466136,9198149,13450367,18875068,14560221,14560220,20290771,20330257,19824713,14200903,9762024,9762027,9167416,9167415,254076364,19783895,14170530,9741748,6405728,4018816,4018815,6405725,254071202,5869545,5869544,8990118,8480923,5482155,3373529,3373530,5482159,5482294,3373603,3373604,5482296,8481137,12324199,17479766,18838030,18838031,17814897,12612853,12612854,12518222,8480816,5482075,5482074,268116141,31556791,268296142,31556790,31556791,255662052,60566085,49166723,270353986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16340562, s2 = 10983132, dlinesl.size( ) = 2 s1 = 16340562, s2 = 10983132, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16340562, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 15238896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15238896, s2 = 13236786, int(edited[s2]) = 0 s1 = 15238896, s2 = 13236786, d1 = 15, d2 = 18 Dl.O(d1) = 152268,152264,152874,277295,494769,877295,1544047,254334903,7053426,258057785,84781560,260396775,256741485,6505667,4076714,268824782,802079,802078,1409945,2438520,1410013,802116,802117,1410018,2438675,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671 Dl.O(d2) = 21255423,254843960,6962008,10555758,10563669,15299223,13527332,254589090,2272455,1510107,856435,856431,1510093,2615033,4363756,6943723,10528537,10423890,6872514,6872519,6955321,4370144,2620977,2620982,4375537,4375535,5964669,3729891,3729894,2619293,1512147,857359,857356,1512037,1512040,2619055,4371843,4376038,2621198,2621201,4376044,6965395,10560661,15296066,15276259,10542529,6952753,6952752,255024497,15266982,15266981,15280051,15280090,15280089,10559757,10559756,15295222,15266275,15266276,10540209,10540207,15271266,10538019,10538018,10573095,15269910,15269912,10567480,10567481,15297424,15304343,10568426,10568428,13521697,9253380,6060342,6060341,9253378,13521689,15282893,10548603,10548602,15282890,21229716,21241730,15274345,12059275,12059274,15285060,10560659,6965394,6965395,10560661,15296065,21259910,21235819,15266976,14208306,255315559,15282063,10547832,10547831,15270030,15270029,10547824,6956372,6956371,10547821,15282053,15270772,10537656,6949389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15238896, s2 = 13236786, dlinesl.size( ) = 20 s1 = 15238924, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15340742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15340742, s2 = 16330110, int(edited[s2]) = 0 s1 = 15340742, s2 = 16330110, d1 = 95, d2 = 93 Dl.O(d1) = 30828525,37630164,29079667,254747746,10886045,10886044,14336770,10887954,7199892,7199894,10886677,7198819,7198818,10886689,15723345,21605011,15985378,11097291,7359638,7359633,11097264,10913296,7217480,4547482,4547486,7217170,4547321,2733583,2733585,4547327,7217178,10912794,15757630,21824406,29131453,26901891,20988454,15075518,15075519,20988456,24712543,24712544,21385637,21385636,28623099 Dl.O(d2) = 228087492,226232391,224101170,221644130,221644129,224101169,226232389,228087491,229715239,229715240,266097667,233624753,234688948,235660174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15340742, s2 = 16330110, dlinesl.size( ) = 26 s1 = 14310752, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14310752, s2 = 10987988, int(edited[s2]) = 0 s1 = 14310752, s2 = 10987988, d1 = 17, d2 = 15 Dl.O(d1) = 173473999,257906368,199230399,199230395,191855450,257906366,257906364,199230397,199230400,191855452,183280899,183280897,183280901,173474003,173474004,183280895,183280893,183280894,257906366,257906364,199230397,199230400,191855452,183280899,173474001,162431476,150295977,257306668,162431479,150295978,150295979,268337122 Dl.O(d2) = 137255951,150295974,162431473,255741794,137255953,123525587,109334102,95079408,81020469,67550913,55207251,44356802,34979311,26899915,20017719,14336783,14336784,14392509,14520418,9991306,6566593,4113684,4113685,6485712,4064065,2432136,2432134,4063986,4063990,6485587,9872456,14365842,20041131,20069214,14385434,14385433,20069213,26953642,267870740,11485054,11485053,16483681,22681889,21782172,15723197,10886585,10886586,15723201,21782175,25144913,28942186,24331570,22091070,22091071,254229770,17661788,17661787,24007826,29422294,254511192,23167169,20044940,20044941,15210390,15210391,21167923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14310752, s2 = 10987988, dlinesl.size( ) = 10 s1 = 108591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 108591, s2 = 10154742, int(edited[s2]) = 0 s1 = 108591, s2 = 10154742, d1 = 19, d2 = 20 Dl.O(d1) = 2384967,2279709,1322153,254113645,241903,241901,243991,243111,134380,73043,73039,73403,39724,39721,73039,73403 Dl.O(d2) = 25069639,32766202,41682224 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 108591, s2 = 10154742, dlinesl.size( ) = 24 s1 = 14273558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14273558, s2 = 14019266, int(edited[s2]) = 0 s1 = 14273558, s2 = 14019266, d1 = 49, d2 = 31 Dl.O(d1) = 130068758,272267543,143398541,155938617,155938596,143398495,130068702,116160992,102104452,88118075,74507077,260137667,130068705,143398500,261306547,116161017,116161015,130068735,130068736 Dl.O(d2) = 31541401,258276523,88118084,102104465,116161011,130068734,130068757,116161031,102104483,88118099,88118098,102104482,116161029,102104487,102104486,102104475,88118093,74507087,61726160,50247668,40227772,256031399,17686577,12508565,267912961,1983453,254387978 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14273558, s2 = 14019266, dlinesl.size( ) = 22 s1 = 10996019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996019, s2 = 11240958, int(edited[s2]) = 0 s1 = 10996019, s2 = 11240958, d1 = 24, d2 = 18 Dl.O(d1) = 4654043,2803793,1626544,924906,521364,521365,924908,1626547,254102528,7367017,7367239,11108144,11798032,7879237,5003050,3023952,3023953,5003054,7879242,11798041,11798282,7879457,5003237,5003236,7879453,11798275,7879563,7879565,7883564,11798358,16866776,22178435,16872443,16860419,11792669,11792670,7879471,7879470,11798298,7883409,7883410,11803072,16871441,16871479,11802312,7882723,7882672,7882673,254249838,11129695,254373312,7883561,11799675,7882168,7882167,11129240,16028635,11805544,11805543,11129154,7381891,4663616,2809636,254264802,7381886,4663642,2809648,254350343,3361598,5466784,4124478,4124479,6582957,10015831,7381738,5465655,5465654,7381732,4663521,4663522,7381737,6583395,4663593,4663592,6582283,4124052,4124051,4663549,7381776,7381864,7381865,6582239,4124977,4124978,4125556,2468006,2468008,4125564,6584645,4663640,4663637,4663404,4663402,7381541,11128760,11128454,7381308,4663239,2809425,1629797,926722,522342,522339,632605,351148,192367,104976,104972,254089735,632542,1128087,1976158,3361303,5466264 Dl.O(d2) = 268001341 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996019, s2 = 11240958, dlinesl.size( ) = 28 s1 = 12639663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12639671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10998363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998363, s2 = 14374235, int(edited[s2]) = 0 s1 = 10998363, s2 = 14374235, d1 = 40, d2 = 59 Dl.O(d1) = 5432427,5432428,8417437,12449100,8417425,5432418,3339420,1963771,1121649,629267,349517,349515,629260,1121636,1963742,3339365,5432332,5441862,3345355,3345357,5441835,8419931,8419928,8434296,12465553,12458988,12458985,12442921,12442916,12438048,8406613,5448408,3349409,3349411,5448414 Dl.O(d2) = 61816224,50332712,255275976,31618245,38238225,34617784,32838109,25132968,18579678,13203671,9001044,9001043,12191646,12191645,17316400,23632417,31119137,25538540,256134399,25470514,18870272,13446544,13446543,18870270,25470513,31049678,23565307,23565306,268672901,34617576,26627980,20105188,14415310,9914172,9914173,14415317,20105203,26996219,29136182,26151734,26151735,25132405,25132409,21828901,21828902,21828888,21828887,22723159,16517991,13493048,9231378,9231379,13493051,15637048,21675286,28956369,29944648,25755802,19117479,255684539,33544449,36693209,28203058,28203057,34612019,26623060,23854158,23854157,267862822,34001379,34001378,43059671,43068431,43061230,37889415,29321238,29321237,33704326,28327639,21117523,15171007,10463195,10463194,15171001,21117508,28327601,29321490,25769581,19129707,13658873,9353259,6126469,6126468,9353273,13658907,19129770,21992971,15895459,15895461,21993598,25465709,25465707,28327841,28327842,23577447,17265809,12145366,9344897,9344896,13646961,15171708,21118672,16475539,16475538,15140747,10442613,10442614,15140749,17105454,19459427,21088449,15148040,11019036,7294719,7294714,10437943,9559415,6272472,6272470,9559377,13927441,19461385,18983174,18983170,20852896,21991885,15894281,11018398,7294407,4600206,4600205,7294400,11018394,15894276,21991877,28141070,33999410,26157551,26157550,33999408,39696192,31019270,23538353,17230501,12112486,9562397,9560277,6273112,3927630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998363, s2 = 14374235, dlinesl.size( ) = 12 s1 = 12749414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14310882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14310882, s2 = 9823658, int(edited[s2]) = 0 s1 = 14310882, s2 = 9823658, d1 = 110, d2 = 102 Dl.O(d1) = 257571058,7894984,254374329,1765621 Dl.O(d2) = 37385591,28845497,21573695,254504710,37385589,47294782,58685598,64837428,64837427,58685571,47294753,47294752,58685552,58685551,64837429,59023214,47619653,37696346,33504662,25726436,19095005,267863420,33504664,42503367,50410233,40375757,31682434,31682433,40375755,50410231,61900665,74694304,77904342,91825908,257250712,50408514,257228868,74692615,67634539,255611960,254887970,40390612,32116835,24539285,24539284,32116832,40890674,268272520,38382671,44442128,55286087,64012244,62654174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14310882, s2 = 9823658, dlinesl.size( ) = 8 s1 = 14310898, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11218301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12640661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12640661, s2 = 13037133, int(edited[s2]) = 0 s1 = 12640661, s2 = 13037133, d1 = 5, d2 = 9 Dl.O(d1) = 31474937,23978657,17631735,17631734,254406402,12453652,17631750,23972506 Dl.O(d2) = 64681969,72336407,70903840,58191067,58191068,254530394,254530396,50181537,40156695,31472493,23976433,17628929,12449911,12449908,17628921,23976417,27251786,35376452,27251767,27251768,35376466,42368089,42368091,52767415,64681952,59533748,59533749,71794446,255574096,37730186,29169867,29169866,37730184,47652123,59053241,53893009,49414777,39485001,37305308,28771745,28771743,37305303,37542534,37542536,40165240,50189580,46714973,46714971,50406614,46714871,46714872,58086729,70803685,64681957,255576668,61676358,61664211,50178582,50178581,46504292,46504291,57860508,50171801,40146612,31463105,31463106,31464946,31464945,23969404,23969405,31464953,254406466,37304518,37304519,47211116,50184443,40164595,31479812,23982920,23982921,31479818,23990788,17645976,17645974,23990827,25890142,31479912,31479913,31476777,23985130,23985132,31481842,39244832,31492776,23995251,23995252,31492789,40178233,255186344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12640661, s2 = 13037133, dlinesl.size( ) = 14 s1 = 11017857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11017857, s2 = 11303144, int(edited[s2]) = 0 s1 = 11017857, s2 = 11303144, d1 = 3, d2 = 9 Dl.O(d1) = 255047031 Dl.O(d2) = 12082741,12082739,254575589,5205431,8125129,12082739,12082738,17184085,255988307,21658061,255851251,23463204,17184086,17184085,23463203,21658061,255851251,255540051,12082741,255540049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11017857, s2 = 11303144, dlinesl.size( ) = 8 s1 = 15282643, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282643, s2 = 6584165, int(edited[s2]) = 0 s1 = 15282643, s2 = 6584165, d1 = 81, d2 = 106 Dl.O(d1) = 170990256 Dl.O(d2) = 256229593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022895, s2 = 14339189, int(edited[s2]) = 0 s1 = 11022895, s2 = 14339189, d1 = 8, d2 = 11 Dl.O(d1) = 12252263,8274782,5339184,3281861,1930298,1930297,3281857,5339175,3281871,1930307,1930309,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5570264,5570265,8574386,12628917,17716603,17716605,16885944,12588620,8540733,8540736,12588632,12543717,8503131,8503128,12543697,12543694,17729849,19827216,24134395,17770653,17770652,254413068,24118642,18932445,18932444,19228692,13736552,13736553,12253271,8275439,5339597,3282076,3282073,5339348,5339443,3282020,3275346,1926503,1100739,1100740,1926512,1926561,3275465,5328845,8259752,12232364,12539027,8500301,8500300,12539024,17723237,20014799,21035809,15109460,15109459,17727512,21034201,21034207,17801468,17801467,24168766,17801203,12601088,12601090,12237084,8262944,8262945 Dl.O(d2) = 3399013,5511238,8511770,12554151,17742850,12588684,12588685,17786263,17786269,17786270,24153423,17786234,17786233,24153421,254365476,12521591,12521596,12600634,12600621,12600620,17800590,18931914,13496642,13496643,18931917,25544808,24067662,17711854,12529152,8490525,8490526,12529153,16796605,23041565,29525720,29525722,268001956,29525969,24156036,17788965,12677219,8609530,8609529,12532579,12532578,17715952,24072364,31578071,40265162,50286359,268638900,256168870,22009636,15908082,15908080,22009632,19852102,19852101,26668056,34660415,43934055,54676827,60660008,59371869,47981628,269336591,43934093,43934094,54676864,53803028,43278195,34181697,34181698,43278198,53803033,59371914,59371913,72104564,66933559,54676832,43934061,34660418,26668072,26668070,34660442,41776323,32855580,32855579,41776319,52090099,63909251,258140768,47412580,37505058,37505057,47412579,256401055,22337900,22337901,29690369,38255608,48164890,59551470,71556549,58829141,47443074,47443073,49254418,39327742,39327743,48276484,48276483,58829146,47443079,37535113,28990207,28961858,21679788,21679789,28961861,28990178,28990179,28990198,21706146,15664453,15664454,21706149,28961829,28961830,37505025,47412541,37535139,28990220,21706164,21706162,16199286,254775751,7475559,11260795,16199288,22349664,28990169,29791927,22426202,22426203,21706157,15664466,15664467,267976460,21706166,15664472,15664471,16038541,22159719,21679785,21679784,28961848,28623184,22651991,16460426,15842978,15842979,15664486,15664485,21706187,28990258,21929882,15842984,15842985,16259922,11304769,7505399,7505398,11304766,16259918,22426537,22426214,16259700,11304608,7505286,4744142,4744141,7505282,11304602,15664456,15664457,16199280,11260792,7475558,4724484,2846631,1651620,1651622,2846634,4724489,254744741,7168408,254789086,15671374,10849060,10849059,15671371,21714318,28999297,29250570,29250569,21929886,21929887,15843024,15843023,21929923,28939838,21660899,15624643,10810776,10810777,11304757,267884898,22426516,29792379,25848358,19193399,13707904,9388953,6151119,6151120,9388957,13707909,19193405,16199260,11260780,7475549,4724479,4724480,5377449,8331900,10979033,7266970,7266971,10979035,254775512,23047855,23047854,24287396,17906250,17906251,21706123,21706124,21126099,15177399,15177398,21126097,28338383,24071956,24071955,24103079,31605855,254865748,13180108,13180107,18549980,23710370,17768297,17768243,17768244,19837162,14211107,14211108,19837163,26650692,24055222,17701084,12600996,12600998,12600974,8551212,8551211,254606290,255192656,17386611,254922366,31198699,31564605,31564606,28231191,21034037,15107867,10420330,10420329,15107863,12251996,11744451,9944776,9944773,14453562,9943917,6535629,4094942,4094943,6535634,9943931,12541171,8508533,5509079,5509080,8508535,12549386,17736522,22834221,27041276,20148173,14453151,11743582,11743583,16795527,18786637,18786636,24206803,31714421,25370857,25370856,27041466,22185983,16058919,16058845,16058844,16058860,11150462,11150463,14453317,11475301,11475300,15539105,16470714,15107941,15107942,16796829,16796828,18863618,254617630,6536074,6536073,6535547,4094905,4094904,6535542,9943744,14453289,20148310,27041366,31692815,254865274,23149903,16889212,11817981,7896165,7896164,11817979,16889210,254606084,35128815,28266361,26443324,26443325,34320683,31705614,30040588,30040589,254608460,31655854,31655855,27044167,20151651,17718276,17718275,24074784,31580401,27042387,20149591,20149592,19704194,19704195,26443359,34319383,34319384,34320156,34320157,39865224,39865225,44349637,44349636,43421120,34321067,26444032,26444031,22310586,22310587,29663138,38229522,34320577,26443203,19704043,14128070,14128069,19704041,26443201,20342887,254337120,16056469,21784971,254504874,29093147,21795226,15736054,254842868,4541696,2730211,1581991,1581992,2730214,4541702,7208079,10898482,15736071,10899675,10899671,15737943,16171101,11238791,11238790,16171099,22316131,29667781,25427351,25427352,33169711,255195866,36762895,28267097,21064303,15130455,10435755,7201788,4537297,2727297,2727296,4537294,7201781,255427669,268110694,34320931,34320930,40045958,31365722,23871168,23757771,23757770,31241827,23797963,21793061,15734374,10897413,7207484,4541392,4541395,5363751,5363750,8312612,12306946,17457444,21064730,15734403,10899820,10899819,15734441,15734439,17370989,23693498,29732538,29732540,254398426,31758645,31758644,37346318,47255769,43051851,33992806,33992805,32296878,24685737,18219036,18219035,21118360,15171529,15171526,21118346,28328775,25655796,25655795,29171383,28910045,28910046,23815397,17480742,12324899,12324900,17480744,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924759,19074058,13617346,13617347,15461527,17913671,254878261,5605476,3480655,3480656,5605478,254604015,3370871,3370870,5477831,8474309,7473326,4723001,2845656,2845657,4723004,7473334,11257531,16194694,22343644,16194656,15126028,15126027,21057941,28259052,22344982,16195632,16195630,11258316,11258315,16195908,22345354,22343974,22343975,23108545,23108544,30526341,34304705,29697565,22343916,16194838,11257611,11257610,16194833,22343859,22343858,16194812,16194802,11257627,7473383,7473382,11257621,11257643,7473390,4723032,4723033,7473394,11257652,16194904,22343665,21057700,15125827,15125828,21057706,23213171,16941525,16941524,23213159,22343638,21057934,21057933,28259044,36754014,38264083,29698222,23212992,16941371,16941372,16194878,16194879,22343988,29697627,24050745,24050747,31555074,38790317,30205604,22813987,16595585,16595587,22107708,22107707,29441075,29697350,22343706,16194709,11257542,11257544,16194715,16194850,22343931,24226349,30636257,30857400,29697405,22344009,22344010,23972003,23972002,28091236,28091238,30636022,23213165,16941519,16941520,11856979,7924220,7924218,11856972,16941543,23213204,30625392,23202988,23202987,23212987,23212986,21946062,21946064,29268324,23358864,23358863,26038411,19360493,16595617,11574275,8526753,8526752,11574265,16595592,22813996,29697398,22343756,22343757,29697401,31555176,40241323,47960654,58654252,47262556,37353060,37353061,30625342,30625333,23202940,268423715,256983428,46433518,46433517,48712260,39385751,39223089,39223088,37834472,31511138,31511137,30636042,30636043,38047738,38047737,30784008,30784009,28952137,22149221,22149220,29487475,38047733,36822007,36822008,29484316,29484317,29484322,38047503,29484061,22145865,16027060,16027059,22145861,24050861,17697108,17697107,22145855,22145854,29484045,37353050,28814239,21546002,15528735,15528734,21545999,28814230,37353040,40197065,50219194,58676746,47285529,47285527,39385736,30783728,30783727,36568999,28097932,20922624,15015337,15015335,20922617,28097920,24342367,23359046,23359048,30784018,29487471,29487470,31555172,31555173,36822019,28326585,21116722,17951609,17951610,24342386,29484078,22145877,16027063,16027064,22145881,29484088,29697611,22343967,16194872,16194870,22343959,29697598,38263343,29698157,29698158,31511142,24010948,17663965,17663966,24010951,31511151,40197070,37375980,37375981,47285524,40402639,40402638,40229233,31546810,28097939,20922628,20922630,28097943,31864822,24342374,24342373,30784011,29416387,29416388,37353043,38264012,31702670,24195035,24195034,28326578,28326579,31864837,31864836,40566758,37004935,28506598,28506599,29484082,23425973,23202933,23202931,30625324,30809421,39414629,38047509,29484063,22344450,16195248,16195247,22344444,20922610,20922612,28097905,30511395,23095898,23095900,29484331,38047780,40233023,31546820,24043239,24043240,26960369,20076711,20076712,26960374,24043264,24043263,31546844,40233039,42419119,33428333,25659947,25659945,31710516,30796763,30796762,37989998,39462350,30857505,23426027,23426028,30857509,31546722,24043168,24043169,24043211,17691016,17691015,24043025,24043085,29698163,22344457,16195252,11257877,11257878,16195260,22344470,29698186,23095919,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141772,24043255,31546814,24044261,17692051,12513201,12513204,8573445,5569305,3453179,3453181,5569311,8573456,12627846,17833349,24202923,30787375,24043136,17690966,17690967,24043141,23458466,23458465,30857489,31546129,24043355,24043354,19040903,13592097,9306878,9306877,13592092,19040893,25659964,24043281,23303655,17043053,17043052,23303653,30721152,39319501,257564380,257407250,46476099,36610088,28136356,20958377,15049406,10376051,10376050,15049404,20958373,268602197,46476091,57831941,46476106,36610094,36610095,31543304,28136400,28136401,31543210,256138114,28136367,28136366,36610103,37979265,46476154,46476153,57831978,61728135,50249492,40229593,40229591,50249491,50253118,50253119,47906966,47906965,50249545,47896593,37979279,31543255,256537569,24039942,17688110,12509862,8474754,8474753,12509856,17688097,24039921,31543216,31543270,24039960,17688123,12509868,8474757,5478101,5478100,6837101,10376058,255796693,29416106,37979056,37979269,29416379,22086065,22086064,29416376,37979263,38017962,38017963,40229604,31546052,24042513,17690471,12511962,8476344,8476345,12511969,15979698,15979917,22086097,29416395,22086071,15979893,15979892,22086070,255886866,255448726,7371088,254765183,16008095,15979548,15979549,22085774,22085777,29416109,37571424,29024587,21734776,21734777,29024588,29035327,21743597,15692708,10863630,10863631,15684208,15684211,21731904,15691417,15691416,21731892,21731893,29009433,29009434,37555601,29018530,29018532,29021459,29021460,24230825,17857758,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855671,17855667,255886764,22085523,254765140,7356635,7356633,11092694,254350024,4647165,4647363,4647259,2799304,1623841,1623840,254165076,1623835,2799296,4647250,7356887,8474727,5478080,5478079,8474724,12509823,17688066,22086036,22085613,15979313,11092809,11092810,11092754,7356673,4647117,3370973,3370974,5478014,5478495,5478496,8475389,12510677,11113083,7370567,4656242,4656241,4647078,4647079,7356617,11092678,11092923,11092924,11092985,8474110,5477693,5477694,8474116,8474995,12508981,11093360,11092816,11092817,11092853,12509833,8474736,5478089,3371024,1983657,1133040,635498,635496,1133036,1983647,3371004,254274460,4723120,2845731,1651027,254618757,254618759,268005647,267916817,254284323,2065626,3480292,2067036,1186501,666561,267746928,2067033,3482144,5607364,3484702,3483280,2069005,1187900,667373,667371,1187893,2067822,1187014,1187015,2066068,1185865,1185863,2066061,2067569,2066051,1185857,1185855,1186696,1857739,1857741,1186715,666678,666677,667178,666720,369852,202524,110482,110480,202517,202404,110423,254090937,254140401,1186515,666572,369751,254108571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022895, s2 = 14339189, dlinesl.size( ) = 12 s1 = 14311055, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11445627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12750326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11029685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029685, s2 = 6531385, int(edited[s2]) = 0 s1 = 11029685, s2 = 6531385, d1 = 7, d2 = 15 Dl.O(d1) = 256160710,787504,787502 Dl.O(d2) = 787510,1384398,2391819,3990918,6360358,9670290,254114650,2314995,268031809,256619033,25103743,18554959,255643091 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029685, s2 = 6531385, dlinesl.size( ) = 10 s1 = 12641407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12642141, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15382818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12751010, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12751010, s2 = 11563182, int(edited[s2]) = 0 s1 = 12751010, s2 = 11563182, d1 = 0, d2 = 44 Dl.O(d1) = 5163035 Dl.O(d2) = 235112783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12751010, s2 = 11563182, dlinesl.size( ) = 14 s1 = 15282805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099674, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15358096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12751076, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12751076, s2 = 15358095, int(edited[s2]) = 0 s1 = 12751076, s2 = 15358095, d1 = 1, d2 = 1 Dl.O(d1) = 199255246,191883937,183314891,173513574,262081521,262081519,123567537,259783375,81065436,67597764,55256202,44408696,35034050,26953974,20069638,255326369,9891429,9891430,14385905,11732263,11732262,9881131,9881132,9897219,9897215,14391155,12331719,12331720,17489857,21621517 Dl.O(d2) = 199255246,191883937,183314891,173513574,262081521,262081519,123567537,259783375,81065436,67597764,55256202,44408696,35034050,26953974,20069638,255326369,9891429,9891430,14385905,11732263,11732262,9881131,9881132,9897219,9897215,14391155,12331719,12331720,17489857,21621517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12751076, s2 = 15358095, dlinesl.size( ) = 2 s1 = 12751076, s2 = 15358095, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12751076, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12751090, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14322552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11261175, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261175, s2 = 10213335, int(edited[s2]) = 0 s1 = 11261175, s2 = 10213335, d1 = 34, d2 = 49 Dl.O(d1) = 256429026,52295900,255107954 Dl.O(d2) = 274400652,189154592,180217016,170054001,262913591,263704161,196894774,263329657,262913595,133102132,119272410,271977663,263329655,180217007,180217014,170054006,158697166,146329143,133102131,119272409,119272408,261415455,260251075,259007127,271296940 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261175, s2 = 10213335, dlinesl.size( ) = 32 s1 = 12751144, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12751144, s2 = 11460402, int(edited[s2]) = 0 s1 = 12751144, s2 = 11460402, d1 = 10, d2 = 142 Dl.O(d1) = 25293517 Dl.O(d2) = 265097104,209680005,204277104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12751144, s2 = 11460402, dlinesl.size( ) = 78 s1 = 1983407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14051833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14051833, s2 = 11052092, int(edited[s2]) = 0 s1 = 14051833, s2 = 11052092, d1 = 17, d2 = 14 Dl.O(d1) = 257009891,60494030,73240956,78862248,65526348,53500919,43021590,33963943,26125731,19431201,13903244,9541303,6259658,3918727 Dl.O(d2) = 6134267,6160761,6160762,9403478,7034499,4425728,2655803,267764289,871916,267786821,2655805,4425732,7034502,10653244,12813511,12813512,13791216,13791215,18250345,18068254,12809787,12809786,18068252,24493175,27046433,20153967,14457822,9946696,6537313,6537311,9946045,8718448,5675003,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,6536901,5190467,5190471,8101468,12050211,14458100,15412087,21398096,19116801,13648881,9346291,9204427,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9346318,9346317,9204426,9204429,9347547,9347545,7292024,7292025,11015272,15890091,21986461,268306600,47806943,269505057,71027340,71027339,84591660,258433355,53000006,42559909,256150423,255279027,9346290,6121773,6121774,9204427,9204429,9346318,9346319,13648901,15424502,15424505,20808871,254890560,19179631,25832518,33635357,42664900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14051833, s2 = 11052092, dlinesl.size( ) = 2 s1 = 14051833, s2 = 11052092, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14051833, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11385349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11068773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11068773, s2 = 7571466, int(edited[s2]) = 0 s1 = 11068773, s2 = 7571466, d1 = 23, d2 = 32 Dl.O(d1) = 256590525 Dl.O(d2) = 268221363,256270342,255305691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11068773, s2 = 7571466, dlinesl.size( ) = 20 s1 = 13241650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11404595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8610366, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15530831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15530831, s2 = 13359772, int(edited[s2]) = 0 s1 = 15530831, s2 = 13359772, d1 = 21, d2 = 16 Dl.O(d1) = 257773884,104808280,107321116,121701929,128301807,141650674,154303684,166053963,166053962,166053965,166053964,154303682,141650672,259013520 Dl.O(d2) = 73594069,60844528,49442689,39511339,30903288,23468888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15530831, s2 = 13359772, dlinesl.size( ) = 2 s1 = 15530831, s2 = 13359772, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15530831, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 13995067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13395749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15240218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402931, s2 = 10166362, int(edited[s2]) = 0 s1 = 11402931, s2 = 10166362, d1 = 10, d2 = 13 Dl.O(d1) = 261849356 Dl.O(d2) = 255403882,4438247,4438248,3876838,2465453,1425178,877407,865840,491044,275767,152357,152354,152357,152354,152357,152354,152357,152354,152357,152354,152373,152372 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402931, s2 = 10166362, dlinesl.size( ) = 28 s1 = 12752012, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12752042, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13993761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13993761, s2 = 8518569, int(edited[s2]) = 0 s1 = 13993761, s2 = 8518569, d1 = 13, d2 = 74 Dl.O(d1) = 24310698 Dl.O(d2) = 159429629,272374433,260274301,91475272,259657459,119935875,133804087,147051135,147051131,147051132,133804064,119935860,119935859,105700069,91475276,258403167,64375115,77543555,259030375,64375111,257197873,33182991,33182990,42142551,268492247,256126965,18841751,13424090,254649507,3757050,254649505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13993761, s2 = 8518569, dlinesl.size( ) = 24 s1 = 15282985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282985, s2 = 805649, int(edited[s2]) = 0 s1 = 15282985, s2 = 805649, d1 = 25, d2 = 21 Dl.O(d1) = 1476789,835030,470683,264527,146434,146433,264525,470679,835020,1476770,254325605,6835974,10374574,15047667,20956597,268064745 Dl.O(d2) = 20956603,15344581,10599027,267883126,2633334,2633333,2658231,1538044,1538045,2658233,2659937,2659938,4431186,7041554,10662387,13768589,13768590,18755325,18755326,25334730,21412733,15423692,15423693,21412734,28656370,37174611,47067252,58443485,71165704,270291635,98665110,85628121,257505666,47909474,37993397,29431188,22099437,22099436,26731483,19896935,14253313,14253312,10400884,6856205,4302807,4302806,6856204,10400882,10401418,10401417,15079993,20994040,28175402,28175565,23126873,23126872,30545192,39143678,49073892,40266768,31579654,28175820,21966775,21966776,28888698,37430370,258072771,71927230,71927231,85514885,258866304,99578258,99460823,99460824,113470957,105466419,105466418,119705965,105466411,91243701,77323521,77323522,77323524,64175081,52323345,52323344,257775919 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282985, s2 = 805649, dlinesl.size( ) = 34 s1 = 11450541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450541, s2 = 14333101, int(edited[s2]) = 0 s1 = 11450541, s2 = 14333101, d1 = 45, d2 = 30 Dl.O(d1) = 263855742,47064716,47064715,258054067 Dl.O(d2) = 226294312,224168487,224168486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450541, s2 = 14333101, dlinesl.size( ) = 66 s1 = 10897025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11365051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365051, s2 = 7846141, int(edited[s2]) = 0 s1 = 11365051, s2 = 7846141, d1 = 21, d2 = 35 Dl.O(d1) = 261289176 Dl.O(d2) = 2866861,254357063,3104693,1814096,1814098,3104697,1818984,1818985,1844238,1827137,1827135,3125685,254569551,11987359,8038413,8038414,11165333,7406853,4679805,2819458,1635707,930131,524269,524268,930129,1635701,2819448,4679790,5110960,5110961,8022126,8056299,8031406,5120715,5120716,7521282,4755394,4755393,3157703,3157701,3132047,1830969,1830968,3132043,4762888,5159832,5159831,8066143,12009001,17085039,254562820,7529632,7529631,11331937,11329226,7526013,7526012,254129476,11994330,11994329,11997874,8050772,254175180,12019389,8079854,8042819,5133285,5133282,5177755,5177757,8000445,8000444,8156562,7975413,7975411,8019544,7975982,5075617,3077916,3077918,2871062,2871063,2866894,2866895,4756503,7522358,8021260,11975181,12006062,8061970,5158494,5158493,8064942,12007998,16286878,15379817,15379816,11975898,268102165,10467875,15177627,16287948,254561760,8025123,8025124,11977899,255139136,254563654,16284841,11326321,254561820,16964080,11876055,7939107,5049030,3058966,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,11988690,11907570,8077008,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,4761206,2869948,1795803,1795799,3077677,5075167,7169598,10845393,12017441,10770618,7116396,4480640,4480641,7116392,10770609,7116462,7116466,10770740,9163614,5997517,5997519,8077135,12017802,17103310,23372073,17103562,17103561,15571758,15571763,11944449,11944446,15572218,11542110,11542109,16559083,22774088,21600738,15573416,10772559,10772558,15573413,21600733,28875908,31122375,31122374,29413555,22497177,22497178,16323151,15923952,11046690,7321521,7321520,11046686,15923937,22025114,16319193,11353658,11353659,16319197,22491815,21101919,15157681,15157682,254519916,16317071,16317070,22490097,23118973,22481507,16310170,16310169,22481504,29847281,22494903,16321182,16321181,22494900,22484484,16312707,16312709,22484487,29849757,35047699,35047700,37916566,37916565,37918408,29349883,22018147,15916715,15916714,12152760,8183094,5252814,3209799,1879963,1879965,3209807,5252835,8183136,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556144,9966941,9966937,14485793,16355705,12196480,11730391,7831547,4971285,4971283,4472909,4472912,7104532,10753542,8237773,8237775,12205832,11380580,7560970,7560971,11380583,16353963,12350895,8344549,8344550,7555246,4777588,4777589,254348104,12199791,8230750,8230749,12199787,17325159,22511546,16337733,11367358,11367334,267755006,17302245,17302246,14485145,9966440,9966438,7549214,7549216,11362799,254586448,7554866,4777383,4777385,7554874,11371882,15151468,16326496,16326560,16326562,12192213,12192211,17317036,15547356,15547358,21569660,15547348,15547347,17295872,17295871,12179827,12179825,17301777,22508023,28840928,25152226,18595254,15545277,15545276,21567481,27016619,25300132,25300133,22499735,16325506,16325505,15539215,15539219,12206174,8343984,5385558,3311702,3311705,254263196,5255771,5255773,5959526,9107829,13329706,18724762,22389457,17289978,12168999,12168997,16338742,16338743,22512544,22517356,17320984,17320983,14989215,14989214,17336476,12210722,12210723,17336481,16325644,11357879,7546087,7546088,11357884,16325650,16329278,16329279,17084193,23351630,22501453,254346632,15158613,12194149,8224491,5294887,5294884,8224476,12194134,10960867,10960866,14945574,20846038,20846039,16712481,16371859,11750041,7845239,4979941,4979945,4980064,4980059,7123905,7123909,7123987,5256652,5256656,7123645,6889874,4325292,4325288,6889856,6889950,4325350,4325351,4733872,4733874,7490326,7551550,11366557,11996355,15157089,11365457,9501961,6232384,6232386,9501954,13851096,267754106,23240089,23240090,254130486,254381362,7962507,5065324,3069541,3069539,1789644,1789640,3069567,5065379,7962606,7372042,4657155,4657156,7372050,11115089,11901707,11891359,7959434,7959433,9169137,6001277,6001274,5058176,3064496,1786373,1786371,3064489,5058136,3064533,3064536,3086108,3086106,5086842,7991869,11940936,8071535,5165345,3147646,1841244,1841245,3147652,5165365,7794147,5165380,5087939,5087937,7993057,11942171,11878305,11878307,11932914,7985665,7985664,7943434,7943433,5051734,5051733,5073718,5073721,5073983,3076752,1795199,1795198,3076748,5073972,7973688,11879756,7941766,7941765,254178520,23238764,17018288,17018287,23253441,23235359,16962801,11877072,11877073,16965221,16976443,17292227,12171058,8203133,5274224,5274223,6153572,3850301,3850305,2980570,2980569,4939339,7790316,11682592,16724527,16967479,16967480,16985470,11899980,11899979,16973378,11885919,254177184,3061510,1784606,1784605,3061509,254177494,11885917,9609277,6311645,6311646,7945163,9609244,10834674,7935805,7935800,8185360,5254733,5046376,3056794,1781625,1781624,3056787,4737245,2855082,1656937,1656934,2855067,4737212,7494006,7783521,5391163,3315119,3315120,5391165,8352563,7972598,7972599,8353280,12360078,12360077 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11365051, s2 = 7846141, dlinesl.size( ) = 26 s1 = 15240442, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14311465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504223, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11086759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11086759, s2 = 14339363, int(edited[s2]) = 0 s1 = 11086759, s2 = 14339363, d1 = 19, d2 = 12 Dl.O(d1) = 38426631,47924255,38009367,29447168,255043248,31417585,23927613,17586086,12413248,254506572,2851703,2851705,4732920,7489124,11281833,16228798,256405539,255914114,72345737,85390619,71802446,59061799,59061800,48157036,38247829,38247827,38605859,36978975,28481643,21263975,15301429,15301430,21263979,28481649,36978980,30671853,23255884,16992544,16992543,23255881,26591056,19785905,14172152,9742987,9742989,14172153,19785907,19786752,14172831,9743922,6409023,4020758,2409299,1394117,1394118,2409303,4020791,4020547,2409191,1394068,1394069,2409193,4020554,5952771,9098323,13317822,10041778,6599173,4134317,4134316,6599169,10041771,14593501,20334487,19792117,14176799,10042669,10042671,14594932,14180675,9748623,9748625,14180684,19797312,24089138,23417582,17141615,17141616,23417583,255971926,25319577,33047682,41991126,42317690,47698764,37778665,255870479,18860526,13437725,9187204,9187203,13437720,18860522,19786152,19786153,19793190,19789053,14174613,9744649,6407626,6407628,9744658,14174628,10042593,10042592,14594828,255460902,14174667,14176803,14174187,9747163,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599465,10042312,14594358,20335599,26593015,34580218,42299774,255418840,18943871,18943870,25557022,33319084,42299772,52686429,255843262,47238320,38384390,256344812,27027721,27027720,35114311,256180753,23457834,23457836,30890621,28912961,28912962,31123607,31123608,39803643,43206586,34119367,26254526,26254525,31428209,23937085,17593683,12418713,12418712,254962420,31428203,40108147,41134090,32320394,32320393,34119332,30704915,30704914,35240358,27143861,27143862,256757267,37421502,28879587,28879588,37421508,47329812,58718381,60284949,48891448,38971320,30384993,22982686,16745249,16745250,22982690,29186106,37747140,40514473,37776750,29215533,21901289,21901290,29215535,34585034,37778693,47698121,254348910,29213086,21898982,21898981,21902201,21902200,29216481,255445942,40314093,267889262,21676769,15638032,10821566,10821567,15638034,21676772,26127132,24120293,254763310,27209519,20281360,20281362,27209521,30905279,30425706,29217508,29213630,254234510,27158290,20246551,14528603,14528602,12930481,12930480,10810104,7143048,7143046,10810101,15623783,15956985,20785230,16167174,16167171,20246066,14528283,14528288,16921006,16921004,21225011,15254999,10524426,10524425,15254997,21225006,28451792,29380610,32782104,29634129,29634128,38200934,255070702,255379236,23835342,17496129,254872962,25889359,24282775,17902101,17439606,15210119,15210118,21167474,17801447,15041094,15041093,254611358,26441177,254248474,30022964,24155170,17788040,12589927,8541515,8541514,12589925,16103842,11185913,11185912,16103840,254413406,38153518,254275098,17450143,12300977,12300978,17450145,23780163,23682904,23682903,23682779,254269764,12608727,8557596,5554514,5554518,8557614,8262952,8262957,12237075,17369162,13496647,13496649,18931929,20014819,14334534,9847367,8542235,5539919,3425089,3425088,5539914,8542227,12590743,13202638,9000440,5876066,3668919,2196173,1275906,729918,729917,1275903,2196167,3668898,5876032,9000394,13202564,17786703,254280020,22796582,16579806,11560204,7693279,7693280,11560206,11973575,11973574,12292382,17438675,23766633,17734067,12547381,12547380,15107599,21033691,24150957,18917590,18917589,18917585,17788976,12590727,12590726,17788973,267738878,24155257,24139089,17774820,17774821,23747688,28830361,28121182,28121181,36594294,46460542,40333695,31644640,31566133,24060612,24060611,17722577,12622371,8568543,5564159,3447794,2041709,254281587,5564153,8568529,12622353,17826916,24196134,31671475,24161735,17794164,12595084,254421558,13180273,17824962,12620668,8567011,5562704,5562705,8567016,8567034,7631840,7631842,8533188,8533187,8532733,5531170,3416714,2017043,1153903,647336,647339,1153863,2016960,3416564,5530871,4012054,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148398,20148395,17787937,17787940,12608075,8556988,8556990,8551656,8551654,12531990,17715285,24071554,24183994,17815601,17815602,24183996,22322290,22322291,17730334,12559439,12559438 Dl.O(d2) = 17801854,17801855,24169307,24078627,17721543,12537610,8499127,8499126,6004921,3755383,2249046,2249045,3755376,6004908,9174577,10408895,6861348,4306116,4306114,6861340,10408872,15091987,12556438,12556441,16796718,11744381,11744382,8471557,5475951,5475952,8471559,7099930,7099933,10746239,11475223,7632520,4828793,2909846,2909845,4828790,7632512,11475208,16469592,15083461,12545097,8504128,8504127,12545091,17731803,17807013,17807016,16894135,16894134,23155449,20015419,14335045,14335044,12615918,12615917,11965343,11965341,17056507,254869412,8559751,8559750,255198233,16894039,16894040,23155212,23155211,30572971,35129595,31573785,24068258,17712363,17712364,16167976,11235582,7456648,7456649,7632678,7632677,11475493,16469998,22664871,30040250,37829815,29264127,21942509,21942510,29264132,35129391,27043724,20151163,20151164,25370817,24207452,254410364,8576393,8576391,12631373,17837564,18786574,16612646,16469544,16469540,18862210,20151843,14456064,14456061,9945615,6536605,4095446,2450088,1416544,1416543,2450083,1416554,1416553,2450110,4095496,6536724,9945801,14456640,20150251,14454778,9944632,6536025,4095140,4095137,6536014,9944601,14454721,11818391,11818389,11743988,11743991,16796153,16163707,16163709,20149749,23025809,22665465,16470505,16470506,22665470,17810941,17810939,20151871,20151870,17810908,17810907,24179312,18865650,13442488,13442489,16164123,16414066,11581656,11581654,14456119,19704269,14128237,9719798,6394083,6394082,6535988,6535987,267890974,14454602,14454604,17798651,17798650,19702246,14332176,14332172,16172327,19704952,17798964,12599366,8550249,8550253,9720236,9719303,9719305,6394327,6394324,254960731,254841970,9719545,254774266,19703670,26442862,21559093,21559092,28830032,31185044,23695375,17373167,17373168,17457440,17457444,21064730,15734403,10899820,10899819,15734441,15734439,12238794,12238792,254267600,13173118,8979814,5862757,5862756,3660306,2189998,2189995,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,5207997,3177420,3177422,4939297,4939299,7790237,11682452,15850287,14946875,14946876,12649661,8588632,8588631,8133508,8133507,12094348,10782964,10782967,15587472,16297081,16297079,18690924,25262386,20822649,14924878,10262956,10262953,6744902,4226345,4226347,6743888,10262836,10510627,9965731,6549768,4103262,4103266,6549782,4103285,2454398,2454396,4103276,6549813,9965812,7660821,7660822,5953353,3723082,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,10020295,10020351,6585937,6585936,10020348,14561957,15455558,10686266,10686265,8310147,8310148,12303563,17453194,20821255,20293614,19319657,13814669,9474086,6212069,6212070,9474090,6605351,4137670,4137669,6605347,10052321,14608893,20352549,14970586,10302793,6774893,6774891,10302788,14970576,10333965,10333843,10333842,12742919,12742920,17980540,16517848,15809093,15809095,16517694,16517695,20870693,21625140,15594422,15594426,16520401,14970505,10302742,6774858,4246573,4246576,6774873,10302764,10787888,10787886,15594363,17489941,23827481,25267200,18695399,13302290,11515620,11515622,12331331,12331330,17489358,14991614,14991616,15051962,14406372,9908835,9908836,14406375,17281606,14600060,14600061,20342314,27277106,27276836,20822146,20822145,27986938,26982323,20093371,14406232,11512108,7658090,7658091,4845495,2919947,2919946,4845485,7657849,4845358,4845359,6606443,4138222,4138223,6606431,4138216,4138215,2920719,2920720,2410733,2410734,4023464,6413674,9754512,14189709,11508754,7660311,6413648,6413647,9754464,7250443,4572075,2750380,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602624,4383473,4383476,6977211,10577252,8331986,5377525,3826819,3826817,6116335,5379815,3308113,1946151,1946149,3308099,5312593,8240687,7436650,4699115,4699117,7436654,11207858,15249622,17853080,16211601,11269301,11269302,10274394,10274393,12643094,14602965,10048212,8584528,5578192,3460969,2052366,1177337,660924,660926,1177344,2052381,258084101,47490980,58871851,255384476,81277841,91151881,77236189,64091898,255701754,77284035,64135102,55235886,52283110,41942565,41942564,33000696,25275692,18703211,18703210,25275690,256807746,6841621,4292864,2566589,1477824,835476,470870,470875,835493,1477864,2566671,4292838,6821798,6821799,4299860,2570759,2570758,4293703,2567069,1478081,1478083,2567077,4227582,2528228,1457040,824968,465886,262215,145338,145340,262219,465892,824978,1456745,824804,824803,1456741,2527651,4227313,2557983,1473358,1473357,2557982,4278352,6820203,4293930,2567227,1478161,835619,835618,1478157,2567224,4293924,6843170,10383715,15058014,14968196,10390331,10390329,10397230,10397232,15074353,17878734,12662285,10988364,8591043,5582260,5582261,254874991,17868285,20966684,20966683,28144988,36618895,41022999,255942554,268959968,258176002,270860474,139048923,151751161,261521716,129218563,115289877,101211308,87210347,73588142,60838524,256707372,39506094,39506104,35052103,35052102,269191347,67614055,58699991,49081251,255854102,30552856,37399914,34626240,34626241,43898439,46870070,36991358,36991357,46870068,255420414,43356116,52769338,49436944,39506118,255988519,23465204,30898713,39506124,270362415,115289886,260039346,261215888,177454317,186762972,194570948,186416089,177060108,166478827,166478826,177060104,177059056,166477968,154772896,142140909,128787822,128787823,142140897,154772878,154773678,166478941,154773637,154773635,166478875,177060180,186416198,194570994,201555686,195788681,194569801,194569800,186416354,177060282,166478930,154773630,154773629,166478922,177060267,186416326,194571243,201288870,194256657,186046835,176628970,176628969,186046828,194256645,201288830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11086759, s2 = 14339363, dlinesl.size( ) = 2 s1 = 11086759, s2 = 14339363, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11086759, Dl.E( ) = 20, 1.29e-05 seconds used appending s1 = 591266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 591266, s2 = 11864663, int(edited[s2]) = 0 s1 = 591266, s2 = 11864663, d1 = 30, d2 = 32 Dl.O(d1) = 15318119,21280813,28498451,36995889,39139507,39139506,43027695,43027697,46401028,46874527,46874528,46876151,36997534,36995780,36995782,46874473,36997527,36997528,46876146,49070014,39139818,36997516,28500093,28500094,21705362,21705363,28989235,33970004,33970003,39139621,48536400,38621424,38621425,48536387,49763681,39745155,39745156,257589215,257529436,30540573,23122078,23122079,30540950,23122111,23122112,30540987,30540454,23121579,16861636 Dl.O(d2) = 27084529,27084530,30291669,30291670,28500072,21282162,15319104,15318019,15318018,21280666,28498231,28498236,24265722,24265721,26598549,21280808,21280810,28498443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 591266, s2 = 11864663, dlinesl.size( ) = 2 s1 = 591266, s2 = 11864663, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 591266, Dl.E( ) = 40, 2.5e-05 seconds used appending s1 = 11442881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11442881, s2 = 11577278, int(edited[s2]) = 0 s1 = 11442881, s2 = 11577278, d1 = 64, d2 = 43 Dl.O(d1) = 263943152,261431073,119770221 Dl.O(d2) = 225932591,223770040,221275361,266194327,274672958,237242200,266683570,266448228,266355068,237242204,266611362,237242203 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11442881, s2 = 11577278, dlinesl.size( ) = 14 s1 = 10985429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985429, s2 = 8724841, int(edited[s2]) = 0 s1 = 10985429, s2 = 8724841, d1 = 52, d2 = 59 Dl.O(d1) = 1802632,1802634,1782659,1016582,573010,320905,320904,573008,1016578,1782652,3058315,3086175,3079365,3079366,5044012,5044011,5072358,3075480,1794302,1794303,1788168,1788169,3067449,3057369,1782024,1782022,1791910,1022013,1022011,1791896,1799468,1799469,1799492,1799491,3065991,2580362,2580361,3058290,3077248,1795487,1795485,3060971,5052385,3075925,3075923,5072946,7950329,7950328,5078103,3080001,1797499,1025687,577942,577941,1018903,1018905,1786929,3065515,5059824,6000619,7939977,5049746,3059607,3059608,254177976,3075827,1794534,1794537,3075841,5044599,7933909,5095253,5049738,3059604,1783688,1017271,573385,573384,1017270,1783686,3059599,5049726,7939937,7972413,5073012,5073009,7972405,11885561,7946214,5053389,3061471,3061473,5053399,7946233,7955507,5060045,3065663,3065662,1807032,1807029,3092714,5095177,5058015,3064418,3064417 Dl.O(d2) = 212680104,212680105,216587443,219826720,219826719,264815461,265041599,218882147,265175833,224185421,222560805,219826717,265246157,224909060,265601423,265041597,264564897,264815459,211409933,206404384,200352461,273530707,261660514,262661225,261660514,139967700,259930820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985429, s2 = 8724841, dlinesl.size( ) = 8 s1 = 12644871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12752724, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15295013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11075131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11075131, s2 = 329741, int(edited[s2]) = 0 s1 = 11075131, s2 = 329741, d1 = 50, d2 = 3 Dl.O(d1) = 257864957,263232763 Dl.O(d2) = 8278497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11075131, s2 = 329741, dlinesl.size( ) = 26 s1 = 15283113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15283113, s2 = 14339391, int(edited[s2]) = 0 s1 = 15283113, s2 = 14339391, d1 = 41, d2 = 43 Dl.O(d1) = 127645110,272025392,140993289,127645108,127645107,260313046 Dl.O(d2) = 33276362,25516016,18906103,13474509,254662694,33276356,42255972,42255976,42255974,42255970,42255969,42255976,33276360,25516014,25516013,33276358,42255970,33276355,33276356,42255971,42255975,33276359,25516014,18906102,13474509,9216022,9216023,254307954,7157499,4507840,4507506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15283113, s2 = 14339391, dlinesl.size( ) = 32 s1 = 11009459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009459, s2 = 11102782, int(edited[s2]) = 0 s1 = 11009459, s2 = 11102782, d1 = 23, d2 = 24 Dl.O(d1) = 256037029 Dl.O(d2) = 259090222 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009459, s2 = 11102782, dlinesl.size( ) = 26 s1 = 12645369, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11092841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092841, s2 = 11106288, int(edited[s2]) = 0 s1 = 11092841, s2 = 11106288, d1 = 15, d2 = 18 Dl.O(d1) = 255559845 Dl.O(d2) = 254269317,1938821,3296525,5362452,8310754,12304480,8488127,8488126,12309152,12309153,15851815,12481689,12481690,17460426,16737586,11693805,7799039,7799038,10986407,7272336,7272332,10986401,15852036,17359645,17460547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092841, s2 = 11106288, dlinesl.size( ) = 20 s1 = 11321743, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10598590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12646059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12646059, s2 = 14147242, int(edited[s2]) = 0 s1 = 12646059, s2 = 14147242, d1 = 38, d2 = 72 Dl.O(d1) = 262242383,176266642 Dl.O(d2) = 266968277,267095691,241553173,241117514,240647645,240647626,240140640,266803972,239002464,239593707,239593729,239002476,238359949,238359948,239002474,239593727,240140678,240647666,267009094,240647669,240140682,240140681,240647627,240140641,266803972,239002464,239593707,239593729,239002476,238359949,238359948,239002474,239593727,240140678,240647666,241117532,241117527,240647660,266861262,239002472,239002473,239593725,240140674,266968283,240647655,240140668,266803974,237654746,236878421,236024573,236024574,235085033,266533071,237654747,236878422,236024576,235085032,234051719,232917430,266241754,231665013,230271841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12646059, s2 = 14147242, dlinesl.size( ) = 2 s1 = 12646059, s2 = 14147242, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12646059, Dl.E( ) = 84, 2.48e-05 seconds used appending s1 = 15295063, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15295063, s2 = 10331895, int(edited[s2]) = 0 s1 = 15295063, s2 = 10331895, d1 = 10, d2 = 8 Dl.O(d1) = 1210428,1210429,2102273,254081344,5679404,3532542,2102276,1210430,1210431,254081718,2203230,2203227,2160494,2160495,2160309,2160311,1282841,1282838,1282810,1282807,1282391,1282387,1263487,719942,719943,1263490,2180216,2180212,2180213,3647239,5844654,8954515,13138605,18493474,25024636,32709654,268471972,18493496,18493497,25024652,25024631,25024630,256085676,18493479,13138610,8954518,8954517,13138608,18493465,13138598,8954511,5844652,5844651,8954507,13138590,18493459,25024619,32709644,257167105,51916006,41614285,32709653,25024645,18493486,18493487,18493482,18493481,13138621,8954526,5844660,5844661,8954529,13138628,18493499,18493495,255230478,13138592,18493460,18493459,25024620,32709645,25024642,18493496,18493497,25024652,25024631,256099075,32709645,25024642,18493496,18493497,25024652,25024631,25024630,256085676,18493479,13138610,8954518,8954517,13138608,18493465,13138598,8954511,8954510,13138594,18493463,25024623,25024652,25024631,25024630,256085676,18493479,13138610,8954518,8954517,13138608,18493465,13138598,8954511,8954510,13138594,18493463,25024624,32709644,257167105,51916006,41614285,32709653,25024645,18493486,18493487,18493482,18493481,13138621,13138620,18493472,25024632,18493473,18493474,25024636,25024637,25024638,32709658,41614283,41614291,32709669,32709650,25024628,18493470,13138602,8954513,5844653,5844654,8954515,13138605,18493474,25024636,25024637,25024638,32709658,41614283,41614291,32709669,25024649,18493489,18493478,13138609,8954518,8954517,13138606,18493460,18493459,25024620,32709645,25024642,18493496,18493497,25024652,25024631,25024630,256085676,18493479,13138610,8954518,8954517,13138608,18493475,25024621,32709646,41614280,51916006,41614285,32709653,25024645,18493486,18493487,25024639,32709660 Dl.O(d2) = 72377116,59642792,48256073,38345740,29774485,22410751,16247090,16247091,22410741,22410744,16247120,16247119,22410785,29774512,29774499,255471007,11295578,7499460,4740583,254239023,1658074,2856979,254532927,11295588,16247122,22410762,255470999,16247070,11295557,11295558,16247081,16247111,11295585,7499463,4740585,254239023,1658074,2856979,254532927,11295590,16247124,255910685,22410736,16247080,16247061,16247060,22410718,255910679,38345736,48256072,38345762,38345760,38345759,268946519,256407631,29774509,256949947,256949943,256955152,22410726,29774464,29774474,22410734,22410733,22410747,255910681,38345738,38345731,29774477,22410735,22410719,255092423,11295545,255475738,4740581,4740582,7499456,11295554,16247074,22410729,29774468,22410772,16247107,16247073,11295553,255092425,22410728,22410737,255910687,22410780,255910697,29774492,22410766,16247102,255471005,16247061,16247060,22410718,255910679,38345736,48256072,38345762,255910699,22410783,256407633,48256064,38345727,29774507,29774509,256949947,256949943,29774452,22410764,16247100,16247099,255910685,22410736,16247080,16247061,16247060,22410718,255910679,38345736,48256072,38345762,38345760,38345759,268946519,256407631,29774509,256949947,256949943,256955152,16247068,11295549,7499442,4740574,2856974,2856975,4740575,7499445,11295551,16247072,16247118,22410783,256407633,48256064,38345727,29774475,22410734,22410733,22410752,22410741,22410742,16247093,11295566,11295564,11295553,255092425,22410728,16247083,16247085,22410744,16247120,16247119,22410785,29774512,29774499,29774458,29774459,29774461,29774460,38345721,38345739,38345734,29774482,29774483,38345715,255910677,16247065,16247066,22410722,29774456,38345718,38345756,29774504,29774453,22410717,22410716,22410764,16247121,16247122,22410762,16247097,16247098,16247065,11295547,7499441,4740574,2856974,2856975,4740575,7499445,255471001,22410776,16247110,16247109,22410761,16247096,11295569,7499451,7499450,11295564,11295553,255092425,22410727,16247115,16247116,22410776,22410715,255092421,7499438,4740573,2856974,2856975,4740575,7499445,11295551,16247072,255471009,29774509,256949947,256949943,256955152,22410726,29774464,38345723,29774482,29774483,38345715,38345716,38345738,38345744,256407621,22410757,16247094,11295566,11295564,11295553,255092425,22410728,22410737,16247101,254778121,7499462,11295584,16247109,22410761,16247096,11295569,11295567,7499457,7499458,11295573,16247099,255910685,22410736,16247080,11295555,254532923,2856976,2856977,267891963,11295561,16247089,22410749,29774480,22410739,22410738,255910687,22410780,255910697,29774500,22410772,255910691,22410724,16247067,11295556,254532925,267891963,11295559,16247085,22410744,16247120,255096516,254532927,11295590,16247124,255910685,22410736,16247080,11295555,254532923,2856976,1658071,1658070,2856975,4740575,7499445,11295551,16247072,254778123,4740585,254239023,1658074,2856979,254532927,11295590,268087213,254532923,2856976,1658071,1658070,2856975,4740575,7499445,11295551,16247072,16247118,22410783,256407633,48256064,38345727,29774507,29774509,256949947,256949943,256955152,16247068,11295549,7499442,4740574,2856974,2856975,4740575,7499445,255471001,22410776,16247110,16247109,22410761,16247096,11295569,7499451,7499450,11295564,255471003,29774466,22410765,16247102,255471005,11295555,254532923,2856976,1658071,254124817,298364,165263,90992,50166,28142,28143,50168,90995,165269,298371,532065,943433,1164590,1164592,2033351,3437265,5552798,5552586,5552587,8555468,5985556,5985557,6992921,4902760,4902757,7742548,7689358,7689359,4869209,4866193,2932271,2932269,2934334,2934332,4869534,4869536,5823143,5823139,8923214,11555736,11555735,11428945,7597710,7597709,11428939,11551956,16570857,22786646,30175391,22887870,16659104,11626625,7744790,4904485,4904490,7744805,7692762,4868225,4868226,7613614,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934168,2934164,2934017,2934019,4869063,7608638,6814251,4906790,4906789,7584514,11413003,7734341,7734343,7726342,7726340,7740951,11622591,11606349,7726377,4890526,2947106,2947109,4800337,4864377,2931156,1700061,966519,966517,1700058,2931146,4864283,2931106,1700044,966512,966511,1700040,2931101,4864270,7687316,11553172,7687168,7687166,7600180,7600183,11416241,7587135,4817610,4817613,7595766,6897436,6897433,6813505,6813506,6813587,4870795,2935154,2891670,1678341,1678339,2891681,4797304,4813788,4813789,4392949,4392950,6990715,7595175,7595113,4804302,2895557,2895556,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,973477,548091,548094,954892,1678416,2891770,4797471,7584801,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,5684241,5683730,4803550,2895188,2895190,4803552,7593801,11423950 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15295063, s2 = 10331895, dlinesl.size( ) = 2 s1 = 15295063, s2 = 10331895, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15295063, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 14322982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16205231, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11359571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359571, s2 = 1965467, int(edited[s2]) = 0 s1 = 11359571, s2 = 1965467, d1 = 8, d2 = 21 Dl.O(d1) = 261949632 Dl.O(d2) = 50575296,42503039,42503040,52912417,51109481,51109479,62740790,75687770,270798745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359571, s2 = 1965467, dlinesl.size( ) = 12 s1 = 13538326, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14027589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14311858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14311858, s2 = 11137508, int(edited[s2]) = 0 s1 = 14311858, s2 = 11137508, d1 = 18, d2 = 0 Dl.O(d1) = 258093708,47666190,58036013,46663329,46663328,58036012,257169552,63780896,51965264,256836251 Dl.O(d2) = 21109246,15163483,256836249 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14311858, s2 = 11137508, dlinesl.size( ) = 2 s1 = 14311858, s2 = 11137508, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14311858, Dl.E( ) = 20, 5.96e-06 seconds used appending s1 = 11139541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139541, s2 = 14323027, int(edited[s2]) = 0 s1 = 11139541, s2 = 14323027, d1 = 9, d2 = 13 Dl.O(d1) = 258480096,256707772,255717728,53174342,256187776,257862616,52056780,268526928 Dl.O(d2) = 39191292,49119383,60520763,270352941,81606784,81606785,95639383,100858509,114909023,100871908,258538060,73280990,259109840,100858545,86878006,257862620,73265859,73265858,86877942,81606791,259183297,271365271,86877939,73265857,73265856,86877938,100858498,95639391,81606790,68118235,63208093,63208094,76219071,90023231,104147928,100858535,100858536,114909016,100858528,100858529,86877995,86877994,95639388,95639389,92423970,271078005,90023230,76219070,76219059,63208084,51497854,51497853,63208082,76219055,90023208,104147906,118301115,104147917,90023226,270475989,76219057,63208091,51497858,41283507,32444187,32444186,41283505,51497856,63208089,76219069,90023228,270995793,76219072,90023232,104147911,260221181,128806105,114909036,260664259,142160681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139541, s2 = 14323027, dlinesl.size( ) = 8 s1 = 11119045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119045, s2 = 11140802, int(edited[s2]) = 0 s1 = 11119045, s2 = 11140802, d1 = 33, d2 = 16 Dl.O(d1) = 256991846,11630496,16663909,19467187,254367026,6275168,6275169,6275212,7688153,4904669,4867748,2957305,1714807,974328,548505,548504,974325,1714800,2849112,1653034,966476,544534,305087,305088,544539,966489,1699991,2930991,2930838,2930839,2932591,2932593,4866702,4795552,2890747,1677890,954661,954659,972659,547731,306688,306691,547741,972687,1681135,1681134,2897186,2898788,1681923,956513,956517,1681911,2898635,2898638,4807442,2897442,2897443,4807499,7599427,7730995,254799585,16438669,11453247,7617969,7617968,11453246,12128298,8159796,8159797,12128300,16655003,254800681,254521409,2789204,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,2895853,1680442,955851,538831,538835,955874,1680497,971770,547312,547311,971793,1709712,1417712,806558,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,1680135,1680140,2895228,2428040,1404581,799345,799346,1404557,1404556,2427970,4056319,254969459 Dl.O(d2) = 256212027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119045, s2 = 11140802, dlinesl.size( ) = 8 s1 = 16222676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15283353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15283353, s2 = 16222675, int(edited[s2]) = 0 s1 = 15283353, s2 = 16222675, d1 = 18, d2 = 17 Dl.O(d1) = 114892274,114892275,128787788 Dl.O(d2) = 112356547,98374436,84465308,70909036,58196356,46830360,36952285,254559568,15784236,10934797,7235040,7235041,7393754,11147492,16054690,19229706,13737474,13737475,17493410,12334369,12334371,13849377,12612486,12612487,17814532,24182927,25867661,23811590,17477733,17477732,17787675,24154821,31181469,31664738,268004630,268110510,31664740,40359553,37424598,30848806,24194264,24194265,22796559,16579790,16579789,12086495,12086498,12280013,12275178,8511642,8511641,12086492,12086491,17188986,23469599,254107128,16608152,16608151,22829193,17757688,12565606,12565607,12279992,8293320,5350374,3288356,1933781,1104559,619753,619751,1104550,1933761,3288316,3417514,2017625,1154245,1154249,2017639,2003652,1145372,1145369,2003644,3398514,5510267,8293883,12280756,12553441,12553443,8511331,5510968,5510969,5514866,5514869,5566288,8570452,12624351,17365630,12552611,12552613,12234588,8289672,5534834,3420361,3420362,5534843,8293841,8542468,5540099,5540097,8294021,5350815,3288620,1933972,1104684,619829,619826,1104673,1933950,3288528,3286657,1932742,1103974,619404,619405,1103981,1932755,3286678,2940079,2940078,4464515,4464511,7090530,10731397,15516501,21529705,17423721,12280791,12280790,17423719,12285641,12285639,12285640,17430607 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15283353, s2 = 16222675, dlinesl.size( ) = 2 s1 = 15283353, s2 = 16222675, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15283353, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 11446989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446989, s2 = 7867169, int(edited[s2]) = 0 s1 = 11446989, s2 = 7867169, d1 = 14, d2 = 16 Dl.O(d1) = 264354743 Dl.O(d2) = 254918447,5983454,9143572,11616035,7735337,7735336,11616033,11626890,11449694,8800035,5732258,3569190,2127435,2127434,3569187,4630102,2789315,1618275,1618276,2789321,4630116,4891579,7694088,4869106,4869104,7692535,7692537,11559325,11611674,11624183,11125242,7379161,4661871,4661872,7379164,11125246,7689472,7689471,7587201,4799045,2892647,1678828,1678829,957090,957092,1683143,2901238,4814176,4808600,2898041,2897940,2897939,4808405,7600873,8624425,6813849,4273839,2930632,2930635,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,4806767,4896838,2951160,1711507,254241515,1682271,2899529,4811085,4861439,2929456,2929461,4861447,2956606,2956604,4811245,2899612,1682297,1682295,2899597,4811158,4804294,4804297,7595097,11425843,8999645,8999646,11427828,7620924,7620925,7595372,7595373,11426199,11429552,11429554,11420696,11420697,11613310,7732962,5684317,3535975,2104655,2104656,1680139,1680140,2895228,2428040,1404581,1404578,2428025,4056408,6472933,9854125,255322069 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446989, s2 = 7867169, dlinesl.size( ) = 22 s1 = 12647317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10731053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10731053, s2 = 12647318, int(edited[s2]) = 0 s1 = 10731053, s2 = 12647318, d1 = 4, d2 = 7 Dl.O(d1) = 10035840,10035841,14585300,20323858,268218897,15887064,16185063,268403705,27257777,20323871,14585307,10035850,10035851,14585310,20323876,27257781,35383057,35383177,44807806,47841990,37921579,37921578,44807725,37879549,29310682,21982793,15887063,15887062,21982791,29310679,37879545,47803209,50022342,47684715,47684716,37921582,255940770,22023294,27257866,35383141,35383129,27257859,256627607,32994262,40368565,31673969,24164335,24164334,31673967,36724682,28230905,21033712,21033713,23161949,23161950,30579207,39177115,49023248,44807696,44807695,55714308,68110747,71825633,60673732,60673733,256440584,52384720,256984556,44808144,55714551 Dl.O(d2) = 60510622,49106791,39176505,39176504,268658550,60510620,73257313,61500444,255965552,49106596,49106589,40227832,31541453,30578444,23161389,16899897,16899898,23161394,30578455,35383028,35383026,44807709,55714322,68110751,61410070,49931145,49931146,61410071,50247734,50247733,40227847,40227849,50247756,48169701,38260187,38260186,47441458,47441460,58827661,48169688,43311327,34213204,26339603,26339601,31326093,31326094,40003955,50022313,50546486,40510797,37801435,37801434,47438891,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533619,47441521,39912805,39912806,39912820,39912822,49931154,53835844,43311337,34213212,34213213,43311340,53835846,62038296,59340681,59340682,72074740,65902813,257651412,34213210,26339606,26339605,256705471,257604891,64395519,268940396,42163486,52521676,64395521,269840060,58827799,47441658,38035747,256925615,36611572,28137937,20959904,20959903,28137935,36611569,28364350,28364351,36862629,46744001,58113727,49388746,39460397,39460396,39460390,39460389,49388731,39913572,31238088,23754683,17428375,12284070,8295906,5351831,5351830,8295901,12284066,17428366,16020290,11123210,7377778,7377780,11123212,268631288,38035866,30855871,256487207,30855893,39460383,49388724,60789453,258214825,257026539,30775702,23351981,17084521,11996955,8049491,8049492,267910425,5395482,8359131,5410920,5410921,8385013,10700502,8379907,8379908,12399725,17571627,17575568,17575567,18948851,17544660,12375289,8362583,8362584,12375297,17544642,17544640,23891265,28734465,23912593,17569751,17569753,17799636,17799637,20235106,20235108,17569628,12397816,8378502,5407074,5407071,8378487,11958900,8005557,8005555,8368003,6422129,4028872,4028871,6422127,8366237,8366234,12256823,12256821,12349037,17379006,12409079,12379796,10693521,10693519,8377672,7269991,4584674,2758299,1599038,1599036,1953604,1953607,3321324,5402023,7269309,4584289,4584292,3325643,3325641,5409896,8280539,5342543,5342544,8280574,8369508,5409203,3325373,3325369,5409239,8382092,12388519,8387278,8387280,7902944,5023660,3040790,3040787,5023652,3320002,1952961,1952959,3319992,5399516,4448091,2672375,2672374,4448087,7064699,10693487,15465006,17383114,22880054,22880053,30275016,31406416,25574289,22879825,255442050,7737761,7737760,11618957,7737727,4899160,2952681,1712294,973056,973055,1712288,2952666,4899131,4899098,4899100,5344321,5344320,5513894,5513891,8515801,12560347,17751760,24112286,31617441,40305686,49931874,49931919,61410580,58623485,49931925,39913660,37547619,29001882,29001881,31238072,31238071,39913551,39913663,39913601,31238124,23754708,255169143,8295909,5351832,254268679,1104843,1104842,1934273,3289188,5351827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10731053, s2 = 12647318, dlinesl.size( ) = 2 s1 = 10731053, s2 = 12647318, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10731053, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 11123809, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11098885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504705, s2 = 11145572, int(edited[s2]) = 0 s1 = 11504705, s2 = 11145572, d1 = 20, d2 = 22 Dl.O(d1) = 264516862,201227159,263563589,262736913 Dl.O(d2) = 260668322,2904470,4819797,4638682,4638683,7342474,4637703,4637704,7342477,7342489,4667852,2812077,2812078,4667859,7340278,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338778,4635633,4635631,6025543,4634024,4634021,3769563,3769561,6025663,5854295,5854299,8967857,13157007,11081919,10806606,10806608,15618935,15937206,11058940,7332884,7332886,4640527,4640529,4640581,2795072,2795068,2792186,2792189,4635213,7337945,11066779,11068415,15939035,11061594,11061593,15940705,255061712,255870250,22037379,29368146,22059967,15955665,255446915,15942347,15942349,15941261,15941259,11061924,11061925,11073984,11073980,11060582,7333895,7333894,11060555,15939371,255882067,257500237,269334517,37956591,269869868,42886865,33843217,33843218,29379318,22048844,15945647,15945648,22044601,29375386,25540667,18928169,13493791,9231797,6046078,3782930,2266091,1314535,750271,750272,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057466,15934982,19803070,19803071,26610974,29392117,22061624,22061623,22046909,22046908,29377452,37942900,29625102,22273828,16131724,11206187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504705, s2 = 11145572, dlinesl.size( ) = 26 s1 = 14311918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14311918, s2 = 7602626, int(edited[s2]) = 0 s1 = 14311918, s2 = 7602626, d1 = 23, d2 = 29 Dl.O(d1) = 25081239,256617259 Dl.O(d2) = 46621932,38886002,38886003,41836530,41836531,40426223,40426224,39961137,31286221,31286220,31285982,23799721,17467113,255560991,31285974,39960843,49977241,61455080,74234025,74297627,74297628,74297675,74297626,61519894,61519893,61519956,268995909,40021024,50040704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14311918, s2 = 7602626, dlinesl.size( ) = 2 s1 = 14311918, s2 = 7602626, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14311918, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 11145831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145831, s2 = 7847506, int(edited[s2]) = 0 s1 = 11145831, s2 = 7847506, d1 = 16, d2 = 25 Dl.O(d1) = 272217210 Dl.O(d2) = 16353598,11380257,7560719,4780841,2880987,2880986,3211398,3211399,5255049,8185664,12155256,16340424,18724596,13329586,13329587,18724600,22526497,22526499,23654803,17337805,12218685,8248923,8248924,12218666,11360905,7547967,5283047,5283042,6524820,5247481,5247479,6524853,9928066,14432917,254834712,268555439,14549124,254396934,22502063,22502062,21099459,254581684,10452265,15155864,21099463,23632677,255107146,23574578,23574579,28309080,21099136,15155630,10452105,6890059,6890058,10452101,15155623,16327844,16327843,15158615,12194151,8224491,5294887,5294884,8224476,12194134,10960867,10960866,14945574,20846038,20846037,254584134,22949298,22949296,29791025,38363545,254836886,28308348,21098480,254393422,21102464,15158066,15158065,21102463,268606343,31090361,23605941,23605942,20964632 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145831, s2 = 7847506, dlinesl.size( ) = 8 s1 = 11128441, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11647779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11647779, s2 = 13171648, int(edited[s2]) = 0 s1 = 11647779, s2 = 13171648, d1 = 49, d2 = 35 Dl.O(d1) = 258896040,261846706 Dl.O(d2) = 3097006,1809582,1033552,582459,582456,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1036945,584129,326412,180179,180183,326432,584170,1037028,1816173,3017375,3017378,3098355,5104006,5111763,5122852,3116985,1821591,1821594,1817101,1037556,1037554,946690,533835,533833,328529,328532,588608,588606,590255,590257,1043601,1828455,1841960,1051123,591189,591190,1051101,1841814,1841816,1816567,1816570,1848447,3157911,5107007,8015299,5103634,3098085,3098086,5103637,5172979,3154630,3154629,5109797,3102656,3102657,254567321,8019771,8019770,8081490,11969980,8157015,5227381,3189177,254570333,5148424,7521864,4755973,2866472,2866468,3158920,1849123,1849125,3131294,1830525,1044728,588061,588064,1044735,1830540,3131327,3112967,3112963,3134812,3148460,3148461,5166222,7406878,5113652,3105667,254381495,5121334,5122768,5121287,5121288,254572765,267796579,593418,330807,330805,593414,1055407,1849334,1821419,1404924,1404927,1823343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11647779, s2 = 13171648, dlinesl.size( ) = 36 s1 = 12647861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12647861, s2 = 15283409, int(edited[s2]) = 0 s1 = 12647861, s2 = 15283409, d1 = 52, d2 = 70 Dl.O(d1) = 15141982,15141983,21080171,28286152,28270346,21067659,15132986,10437259,10437258 Dl.O(d2) = 44436173,35062193,35062192,31228746,31228745,38927207,30340903,22939632,16704101,11664048,11664050,16704104,22939641,30340916,38927223,38927200,38927201,48847397,50079810,61560181,50079846,40058496,31376157,23879861,23879860,31376117,23879866,23879865,23879811,17534319,12367122,8356686,5393875,5393876,8356688,12367127,17534328,23879827,31228747,23879794,17534310,17534311,23879797,256007467,17419842,17419841,23745016,23879846,17534337,17534336,23879843,31376131,40058457,48959395,48959396,40058397,40058396,49925052,257599523,39278106,30681160,23264504,17000748,17000747,23264501,30681157,39278102,40058403,31376079,31376078,39905467,31228694,23744928,17419776,12277806,8291800,5349401,3287732,3287731,5349400,254845031,17419769 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12647861, s2 = 15283409, dlinesl.size( ) = 2 s1 = 12647861, s2 = 15283409, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12647861, Dl.E( ) = 74, 4.39e-05 seconds used appending s1 = 15283410, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14311958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10884553, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14312015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312015, s2 = 16169289, int(edited[s2]) = 1 s1 = 11011779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11226011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226011, s2 = 11169118, int(edited[s2]) = 0 s1 = 11226011, s2 = 11169118, d1 = 23, d2 = 20 Dl.O(d1) = 259579611 Dl.O(d2) = 258525186 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226011, s2 = 11169118, dlinesl.size( ) = 30 s1 = 15241969, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15241978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15241978, s2 = 16307795, int(edited[s2]) = 0 s1 = 15241978, s2 = 16307795, d1 = 27, d2 = 0 Dl.O(d1) = 59429019,48142108,38231847,38231848,258013494,9251296,254927117,17560823,12390020,8372860,8372862,9267175,9252392,6059686,6059685,9252388,13520601,15291769,21256192,254853718,256526614,19039384,13590812 Dl.O(d2) = 6095713,254302671,2284484,3813757,254657421,13590817,19039399,25658228,23826389,17488965,17488966,17908610,17094133,17094134,23363065,17488843,12330991,12330992,255563161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15241978, s2 = 16307795, dlinesl.size( ) = 22 s1 = 11552745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12649506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14312218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12649983, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11569641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11569641, s2 = 11200242, int(edited[s2]) = 0 s1 = 11569641, s2 = 11200242, d1 = 14, d2 = 19 Dl.O(d1) = 274687581,266068838,274492457 Dl.O(d2) = 263398286,159763523,272384225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11569641, s2 = 11200242, dlinesl.size( ) = 8 s1 = 14222592, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11061425, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11209333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10623572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11402011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11402011, s2 = 9705262, int(edited[s2]) = 0 s1 = 11402011, s2 = 9705262, d1 = 56, d2 = 35 Dl.O(d1) = 165972142,154214996,141553583,128196979,114314200,100283827,257181044,72724372,59986979,48595096,38678715,30101141,30101140,36807902,28311124,21101004,21101005,254438528,13332227,13332226,14956043,20857326,15827110,10968000,7259782,7259784,10276517,14939075,10274591,10274592,14545905,20273401,15818994,15818993,11508639,7655978,7655980,11508641,16514094,22719086,30101142,38678717,268291502,72724373,65952977,53886245,43362207,34262306,255102348,19650116,254786272,23180349,257593167,73269533,261239475,154798011,166504319,177085217 Dl.O(d2) = 142163966,128809234,128809235,142163968,262771245,186439625,194592577,263915038,207452354,264515156,219540925,219740896,216488229,212567319,207769763,201950039,195031233,186945128,177663735,167164442,155531648,142981753,129653080,115754919,101708583,87734061,74127709,257635965,39837936,39837935,32023484,30685394,23268605,23268604,18042900,12790192,8695408,5659670,5659671,8695411,12790194,18042904,24461901,32023495,28399924,28399925,32023417,32023416,36897327,30619676,23198197,23198195,30619670,39216823,49143443,58143121,46775331,46775332,58143113,58639943,47246795,256334898,25321210,18742355,18742356,25321211,33049664,41993045,38183151,29616000,22625782,22264826,22264825,29615904,256240460,59483982,72073962,59339735,47948208,47948209,50677151,40809864,37093938,28587735,21356850,21356847,25912379,19250952,19250926,19250927,25912821,33719423,42748659,53197579,65182570,78466586,92506382,106818292,121078290,134880653,148001147,262222928,127499310,113626816,99612481,85663022,258737046,47950514,38036904,29473981,22137405,16020832,11123641,7378105,4661166,2808154,1629090,926341,522134,292720,161908,161911,292730,522253,926542,1629458,2808726,2808256,2808257,4660421,4660422,2808625,1629344,926473,522201,522200,926441,926443,1629275,2808511,4387431 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11402011, s2 = 9705262, dlinesl.size( ) = 44 s1 = 11070157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070157, s2 = 13996930, int(edited[s2]) = 0 s1 = 11070157, s2 = 13996930, d1 = 130, d2 = 173 Dl.O(d1) = 268960494 Dl.O(d2) = 267111776,242481724,242119724,267073514,274921241,241303345,240845361,240351586,239820278,239245738,239245739,239820280,240351592,240845366,240845389,241303355,241303347,240845362,240845363,241303349,266988028,274921241,241303345,240845361,240351586,239820278,239245738,239245739,239820280,240351592,240845366,240351608,239820291,239820289,266835016,241303371,241727862,241727859,241727844,241727843,242119723,242481722,242818712,243131992,267073512,242119718,242119723,242481722,242818712,243131992,267073510,242119714,241727832,241303338,240845376,240351599,239820283,239245740,239245741,239820273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070157, s2 = 13996930, dlinesl.size( ) = 36 s1 = 13393252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13393252, s2 = 11219510, int(edited[s2]) = 0 s1 = 13393252, s2 = 11219510, d1 = 31, d2 = 0 Dl.O(d1) = 38098178,48009679,59397902,72128692,85713495,259368555 Dl.O(d2) = 73339913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13393252, s2 = 11219510, dlinesl.size( ) = 32 s1 = 10635488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11021033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11314847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11314847, s2 = 11225906, int(edited[s2]) = 0 s1 = 11314847, s2 = 11225906, d1 = 24, d2 = 18 Dl.O(d1) = 262364825,264010589,168493593,157045479 Dl.O(d2) = 258326519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11314847, s2 = 11225906, dlinesl.size( ) = 18 s1 = 11189863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189863, s2 = 11646237, int(edited[s2]) = 0 s1 = 11189863, s2 = 11646237, d1 = 47, d2 = 51 Dl.O(d1) = 260130419 Dl.O(d2) = 177109,177107,320025,571259,1013431,942579,531601,531600,942572,1656607,2854585,2995165,2995167,1896190,1896192,3232823,5279117,5308810,5308809,5294510,5294508,8222496,8214936,8204978,8204977,7402699,5303838,4676614,3252645,3252648,3243921,1903802,1595507,1595506,1906559,1906557,1740960,1740962,989309,989306,1740970,1127440,632216,632214,254187439,1909517,3251774,5301054,3255469,1912331,1870173,1066826,599658,334114,334113,599655,254261595,1738438,987879,555785,555783,987868,1738410,2993758,3248067,1906760,1906759,1088676,1088679,1906790,3248121,2862727,1890056,1078492,1078491,1890049,1894396,3230298,4609032,3250543,1908668,1908663,3248703,2786070,2786067,3206535,5248836,4961671,2996282,1740066,1740063,2996276,4961663,7326221,7326220,11050836,8189017,5258566,3214321,1882978,1074269,603547,603546,1074266,1882970,3214309,2886485,2886486,4731870,7487632,255090915,16226163,22384121,256405275,48221971,58640052,47246900,37337058,36384042,36384043,46214428,57529675,47741202,37818746,29253471,21932545,15845221,10980841,7268283,7268282,7171887,4517624,2715288,2715293,4517692,7172002,10848488,15670526,15213135,10850628,10850630,15673790,21717682,16810531,12196029,8226256,8226259,6855208,4302217,2572273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189863, s2 = 11646237, dlinesl.size( ) = 8 s1 = 16268033, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14312486, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312486, s2 = 161520, int(edited[s2]) = 0 s1 = 14312486, s2 = 161520, d1 = 19, d2 = 12 Dl.O(d1) = 3914801,6253346,3914705,3914700,6253321,9532683,268158327,26110876,33946891,41704784,41704783,269482269,61821199,63662566,257842406 Dl.O(d2) = 19876267,19857548,19857547,26674749,256324398,255264270,6029737,3772210,3772211,6029738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14312486, s2 = 161520, dlinesl.size( ) = 2 s1 = 14312486, s2 = 161520, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14312486, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 11378411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378411, s2 = 11234150, int(edited[s2]) = 0 s1 = 11378411, s2 = 11234150, d1 = 12, d2 = 8 Dl.O(d1) = 260955054 Dl.O(d2) = 190156184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378411, s2 = 11234150, dlinesl.size( ) = 20 s1 = 14277392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12652373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10604471, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10604471, s2 = 12652374, int(edited[s2]) = 0 s1 = 10604471, s2 = 12652374, d1 = 0, d2 = 2 Dl.O(d1) = 47734023,47734024,43349537,43349538 Dl.O(d2) = 20195749,27094894,31815949,30261818,22865885,22865884,30261816,32454864,24818374,256086619,26904976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10604471, s2 = 12652374, dlinesl.size( ) = 2 s1 = 10604471, s2 = 12652374, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10604471, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11131423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12652865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12652865, s2 = 10385905, int(edited[s2]) = 0 s1 = 12652865, s2 = 10385905, d1 = 6, d2 = 13 Dl.O(d1) = 262307721,166819046,262723432,186653627,186653626,273346754 Dl.O(d2) = 273374084,186653736,263950579,263251139,262353609,143380119,130048467,130048468,142434056,155078387,166775341,177330207,177330051,166775162,155078232,142433948,142433947,155078243,155078171,155078169,166775091,155078288,142433973,129059974,115132231,101057599,87061862,87061861,101057596,115132226,115132225,258735410,155078254,260578994,193720567,273346753,165263085,175964438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12652865, s2 = 10385905, dlinesl.size( ) = 14 s1 = 12653299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12653299, s2 = 11530540, int(edited[s2]) = 0 s1 = 12653299, s2 = 11530540, d1 = 7, d2 = 7 Dl.O(d1) = 264864223,220520099,223139025,221852907,219015865 Dl.O(d2) = 264864223,220520099,223139025,221852907,219015865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12653299, s2 = 11530540, dlinesl.size( ) = 2 s1 = 12653299, s2 = 11530540, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12653299, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10671864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10671864, s2 = 11262738, int(edited[s2]) = 0 s1 = 10671864, s2 = 11262738, d1 = 20, d2 = 19 Dl.O(d1) = 63724817,76828043,90698547,104868954,119055402,132877793,146097787,158463326,164326827,152453869,139728318,139728319,152453872,164326828,158463306,146097771,132877783,119055396,104868950,90698544,90698545,104868951,260837001,146097779,132877788 Dl.O(d2) = 260837003,262282972,261405647,261841427,143285173,155829466,158463317,158463316,169827192,263191396,158463302,169827175,262940500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10671864, s2 = 11262738, dlinesl.size( ) = 2 s1 = 10671864, s2 = 11262738, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10671864, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 14312686, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312686, s2 = 14069136, int(edited[s2]) = 0 s1 = 14312686, s2 = 14069136, d1 = 77, d2 = 79 Dl.O(d1) = 199074771,191671568 Dl.O(d2) = 101955025,115999568,129897585,143226804,143226799,129897582,129897583,143226800,155777471,167408027,177900759,187169507,187169506 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14312686, s2 = 14069136, dlinesl.size( ) = 22 s1 = 11267359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267359, s2 = 10994930, int(edited[s2]) = 0 s1 = 11267359, s2 = 10994930, d1 = 6, d2 = 7 Dl.O(d1) = 257305954,30841865,30841866,255301218,13473167,9216829,6040648,4507447,2708535,2708537,2263123 Dl.O(d2) = 254499130,4410005,7014088 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267359, s2 = 10994930, dlinesl.size( ) = 12 s1 = 11477651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11477651, s2 = 11205124, int(edited[s2]) = 0 s1 = 11477651, s2 = 11205124, d1 = 25, d2 = 30 Dl.O(d1) = 205868108,264932458,259868835 Dl.O(d2) = 6770423,4243443,2537158,1461982,1461981,2537153,4243430,2559534,1474170,1474172,2559541,4280929,2561755,2561754,4279952,4279953,6822494,10358486,13291218,18684153,13310988,9092058,9091411,5947620,3719445,3719446,5213072,5213073,8136509,6759627,4235938,2564626,1476853,835062,835063,1476857,1476876,1476877,2562598,1477962,1477963,835576,835577,1478047,2566999,4293584,4855003,6821514,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,3704866,3704868,3712893,2223346,2223345,2223333,2223256,2223254,3712741,5937704,9078874,6786680,6786681,10316584,14983422,14945830,10280013,6756331,4233798,4233800,6756334,254913753,254913755,10307561,10307562,14975228,19586421,258635511,97926025 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11477651, s2 = 11205124, dlinesl.size( ) = 20 s1 = 14312698, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312698, s2 = 11269990, int(edited[s2]) = 0 s1 = 14312698, s2 = 11269990, d1 = 15, d2 = 7 Dl.O(d1) = 41112307,51292747,255789352,89730174,103836279,117984127 Dl.O(d2) = 258627516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14312698, s2 = 11269990, dlinesl.size( ) = 14 s1 = 11458433, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15310835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15310835, s2 = 7458469, int(edited[s2]) = 0 s1 = 15310835, s2 = 7458469, d1 = 36, d2 = 26 Dl.O(d1) = 12363104,16385009,16385008,254534790,11888344,7987418,7987417,11935010,17018923,16727021,16727020,11869479,11869478,254567562,11938494,11938495,11987992,16724534,11682595,7790317,7790316,7965531,5067697,5067695,7931529,5073865,5073868,7955770,7955602,5060092,3065685,3065684,5060088,7955418,5059987,3065634,3065635,5059990,5060022,5060024,7169461,4515439,4515437,4515509,7169585,10845377,15666408,254822424,11899713,254822096,7980899,5079366,3080824,1798010,1798009,3080817,5079351,7980870,7941402,7941399,11879224,7945677,7945673,7954889,5059605,5059604,7954882,11875543,11875521,11875517,11877057,7939886,5049692,5049690,7939858,7939860,11877009,7979474,7979473,7986808,5083104,3082967,1799152,1799151,3082955,3147230,1841007,1050601,590931,329609,329611,590964,1050673,1841162,3147486,5165107,7777991 Dl.O(d2) = 266855415 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15310835, s2 = 7458469, dlinesl.size( ) = 2 s1 = 15310835, s2 = 7458469, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15310835, Dl.E( ) = 60, 2e-05 seconds used appending s1 = 11266819, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11266819, s2 = 6522925, int(edited[s2]) = 0 s1 = 11266819, s2 = 6522925, d1 = 49, d2 = 40 Dl.O(d1) = 260380595 Dl.O(d2) = 255541988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266819, s2 = 6522925, dlinesl.size( ) = 32 s1 = 14312818, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312818, s2 = 14914208, int(edited[s2]) = 0 s1 = 14312818, s2 = 14914208, d1 = 12, d2 = 6 Dl.O(d1) = 39215610,38483707,29923497,29923496,38483703,48386403,59769216,269007098,30430283,257000579,45752995,56950302,48386440,38483736,29923519,22564014,16384302,11403147,7577374,7577375,11403149,16384305,22564024,256416653,40619523,50676276,258148459,59769219,72503404,73079751,269885920,48386417,256416647,22564006,16384293,11403141,7577372,7577373,11403145,16384299,22564016,22564017,22564018,256416651,22564023,29923526,38483747,48386451,59769262,258148465,48386415,48386412,48386408,48386409,258148461,48386435,38483725,29923510,29923511,38483727,38483701,29923493,22564002,255099111,11403140,16384291,255919273,38483697,48386395,59769210,72503394,72503433,59769260,269816285,59769221,48386410,48386411,258148463,59769243,59769242,269346379,38483699,29923503,256416649,48386384,48386438,38483732,29923515,22564011,16384296,16384295,22564009,29923508,256959175,59769222,48386426,257539443,38483742,38483743,48386446,59769254,72503425,86102175,86102150,86102129,86102130,100067617,100067626,89746200,89746199,258772304,72503389,59769203,48386390,38483694,29923492,29923491,38483693,48386386,59769197,72503383,257539441,48386423,258148467,86102154,100067619,100067620,260616083,100067646,86102173,72503420,72503422,258908602,50431861,50431860,61921660,74714895,88342725,74714902,74714901,88342732,102339007,114098508,100067615,86404932,72809787,72809785,270847757,88342727,100067636,271876792,102339009,116432387,130269603,261315438,271878215,143597247,261315436,116432382,260744680,88342790,74714972,61921738,50431916,40398612,40398613,50431871,50431922,40398617,40398618,50431890,50431876,40398583,31706785,24199403,17830212,17830211,24199401,31706780,257096773,61921680,258911867,74714981,61921751,50431928,40398622,31706808,31706807,40398620,50431921,40398616,40398615,50431917,61921740,65906685,74714942,61921707,61921708,61921725,61921726,74714962,88342780,102339035,116432401,116432402,116432388,102339025,259533136,61921706,50431893,40398595,31706792,24199406,24199405,31706788,40398590,50431888,269411927,258911871,74714969,88342787,88342765,74714940,74714939,88342763,99139793,88342781,88342756,258908608,50431882,50431883,61921701,50431903,40398605,40398604,257680141,74714957,88342748,74714926,258911869,74714948,61921712,258087236,74714946,73336089,61921693,61921691,74714931,270305134,83867369,83867368,97726308,260466661,130269610,116432391,259955456,111646975,97726297,97726298,111646977,112566144,98572487,98572488,112566145,126435227,125449491,116432397,116432396,130269615,130269611,130269612,143597260,131823780 Dl.O(d2) = 255104282,255119044,18892174,13463162,13463164,11547638,7682665,7682664,11547635,11547556,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029081,8086695,5181328,5181327,8086823,12028756,14087404,9689710,9689708,10879139,15402575,10645987,7029163,4421783,2652963,1534258,1534257,2652960,4421778,7029154,255033011,21385980,28623432,37136121,37136101,28623400,21385946,21385948,28623405,28623393,21385943,15402537,255400327,28623388,28919944,268612729,28623386,29348746,22016962,255880245,37136085,28623454,21385994,15402563,10645977,10645976,255400331,28623451,37136138,28623443,21385988,21385987,28623439,37136129,47024417,58396497,71114440,84679110,98469714,99967680,112850022,98861825,86008278,72411666,59676310,59676309,72411663,86008271,99967592,113991005,113991070,99967665,99967591,99967590,260609215,127869223,127869222,127869289,260076158,97793333,97793332,111716053,97793337,83934267,83934266,97793335,111716057,125523451,138856558,262126369,163442243,151559382,271837944,111716019,97793317,83934254,83934253,97793315,99967661,86008322,86008323,260009081,86008349,86008348,258835100,70408035,57713927,46364490,36506195,36506194,46364488,57713925,70408030,83934262,97793330,111716049,125523413,125523409,138856513,151559377,261795642,125523426,125523425,138856531,151559395,163442259,174290255,164306409,163442251,151559391,151559392,163442252,152432581,139707565,126332868,126332867,139707563,138856549,126332875,112466705,112466704,126332872,272527727,164306396,164306411,152432603,152432604,152432569,139707557,126332914,112466735,112466736,102392403,102392399,88391919,88391918,98476745,84554933,84554934,98476746,88391922,74758011,258914347,102392401,116486624,260106064,116486630,116486629,116486635,130322078,261276458,126332895,112466719,98476740,84554929,84554928,74758013,61957906,50461873,40424362,40424361,50461870,61957901,74758002,88391910,102392391,101619541,87652732,87652733,87652777,74049660,61269931,49791104,39771271,31092957,23609360,23609359,31092954,39771269,49791101,49259941,49259942,60659500,257051642,87652784,74049663,61269933,256000296,87652787,101619592,101619566,87652757,87652758,268436188,49791096,49791097,49791088,39771263,31092951,31092952,39771265,49791093,49834562,268675211,31129326,39811418,49834564,61317522,61317525,258243661,87019323,256504640,49259939,49259940,268675212,269393188,74100489,74049641,61269915,61269916,74049643,87652745,257634344,87019329,101011917,115082354,115660231,101619533,87652724,74049628,74049627,87652722,101619531,87652728,257051634,115660236,129546483,258866200,129092956,142469907,269867462,115660265,115725416,259490596,129092978,115162255,115162254,129092976,129620933,115725298,101680362,101680361,258215848,258215846,99630170,85680941,258215842,113644007,127515609,140870982,129092938,115162223,115162224,259462372,72094258,59360718,47969698,38056418,29492331,22153298,22153297,29492329,23575570,17264158,17264159,23575572,31059147,27991601,20827215,20827216,22871892,30268827,38852970,48772770,60166888,63521201,255017084,39323122,39323123,49249637,60650134,62029388,62029387,50537845,49756029,39737239,32597618,32597617,41474626,51743378,63521155,73471768,60723622,268740336,73471371,70812525,58095250,46723131,46723130,58095247,65348580,73471464,255381062,49321104,39392999,30790389,23364538,17095475,17095474,23364534,30725340,30790351,23364507,23364506,30790348,39392960,32384225,24763764,23364221,17095243,12008582,12008580,17095239,23364218,30789944,30790412,39393029,37061931,28560810,28560809,31793199,39392964,39392965,39393057,256118248,39392941,30790335,23364498,23364499,23364522,23364521,23364548,17095484,17095464,17095463,23364516,30790357,30790320,23364490,268102925,12008704,17095452,23364496,30790332,39392937,49320872,49320873,50888311,50888310,49321106,49321107,60723302,49321040,39392923,39392924,46940729,254916030,28560826,37061946,46940722,58306929,71022336,61891954,258286657,74231549,74231550,61891973,50401430,50401432,61891967,50401427,50401428,61891969,59266883,47871321,37953144,37953145,44756848,44756776,44756777,52263863,52263865,64112690,68066584,55667126,55667127,55667132,44756858,44756859,49321294,60723537,61892043,74685663,68066525,68066524,81556641,73353484,73353485,81556685,87985825,87985826,84586389,71022364,58306958,58306957,71022361,84586384,73471507,60723340,60723341,73471509,61891979,58306922,46940717,46940718,58306925,71022346,61452357,49974368,49974369,55667125,68066583,59266880,258111111,49974382,49974383,61452384,61606057,61606071,50126020,50126018,50126015,50126014,40366144,31671395,31671396,40366146,50401496,61892034,74685651,74685652,74685684,74231554,74231555,87836268,84586367,84586368,78489666,259074363,106841258,92529677,259703245,260913631,102308834,88313367,88313366,88313355,74685670,74685669,63113892,63113891,76119467,77259395,64112709,257181173,32985064,25261600,256111789,41925424,52263872,64112700,64600985,52700309,42313199,33332894,33332893,42313197,52700306,64600982,77784178,91712015,86666684,73061230,60319964,60319963,73061226,64112705,64112704,72441524,59705444,48318722,38407949,38407951,48318725,59705452,72441540,63113899,63113898,76119477,86148436,72550183,59814988,48429040,38521398,38521399,48429043,59814990,72550185,86039597,74685698,61892078,61892080,258909243,77259382,77259384,65731075,65731074,79086813,93202030,107602557,121972623,114028521,260612161,260580962,259362336,59341804,59341805,72075832,85662966,272205436,133507376,140533472,127187202,126860053,113007666,99019395,85381043,85381045,99325289,99325290,113328227,113626780,115875207,115653743,115653744,113328189,99325260,259646006,87089489,260561161,140533481,261138691,127187230,140533491,140533476,127187211,113328199,99325265,99325264,113328197,127187208,127499281,113626781,113328236,99325302,99325303,91524289,91524288,105747843,271175594,101612484,87645463,87645464,260102335,100034081,86070726,72472539,59737376,59737375,72472536,73471715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14312818, s2 = 14914208, dlinesl.size( ) = 2 s1 = 14312818, s2 = 14914208, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14312818, Dl.E( ) = 14, 2.5e-05 seconds used appending s1 = 12655031, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12655041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298941, s2 = 14110225, int(edited[s2]) = 0 s1 = 11298941, s2 = 14110225, d1 = 10, d2 = 14 Dl.O(d1) = 111659681,125462532,138791634,151493110,261047229,111659687,97738693,83879796,70354996,57665197,46320906,46320905,257996907,83879788,70355000,57665199,46320907,36467973,28009063,20844254,14944380,14944379,20844251,28009057,36467966,46320900,57665187,70354984,70354987,57665189 Dl.O(d2) = 83879780,83879783,83879784,97738678,97738670,97738669,97738676,271520450,57665191,70354988,83879780,259865973,125462522,125462519,125462518,261600483,138791623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298941, s2 = 14110225, dlinesl.size( ) = 12 s1 = 14323853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323853, s2 = 10345598, int(edited[s2]) = 0 s1 = 14323853, s2 = 10345598, d1 = 6, d2 = 4 Dl.O(d1) = 259660845,91515046,86160453,72562189,72562188,257791171,42178559,42178558,52536148,59826815,59826814,72562186,86160450,91514971,258665177,58263294,58263295,70979029,84542368,259888456,100126488,86160394,86160395,100126490,114160339,114160346,102266313,88268123,88268125,91515254,105739011,105737334,91513351,91513352,105737337,119972329,133839087,128646332,119969772,119967341,105731908,91507736,77576988,64409166,64409167,77576985,77576984,91507731,105731897,91513360,77582239,77582238,91513358,91515221,77584090,77584091,91515223,105739001,119973763,133840247,147079115,260872811,119966960,260277241,105733304,261440627,119969768,105734755,105734756,260872973,119969762,105734750,105734751,119969765,259545224,91513241,77582112,64413558,52539502,52539503,64413560,259033675,97983509,86721594,73116075,73116076,77582442,64413816,64413815,77578543,64410526,64410525,77578549,86019796,72422613,257884948,258700300,95180648,109436731,259945584,259133196,100830859,100830861,114881306,100850488,256722902,73256644,86869414,100850486,114901216,119968461,119968462,260873055,147083067,142084142,130402059,116562059,260546016,116562038,102462969,260756541,119972019,114825191,100773197,86792384,73179978,60433090,60433092,73116084,62029046,50537458,257688109,74825685,88459128,102463017,116562071,130402070,272448672,142084203,128725236,114825313,259762026,123630068,123630069,137362220,142084178,128725231,114825296,259984718,73180037,60433128,49029431,39100463,257005339,49029424,49029426,60433118,73180024,86792445,100773282,260657947,142084187,128725219,128725220,142084190,262291435,177020256,262628740,128725181,116562040,102462971,88459074,74825643,74825642,260159227,114825224,108655032,94367297,94367296,108655028,122919928,136751894,142084165,128725178,114825211,100773216,86792398,73179990,73179989,86792395,100773211,114825200,128725176,142084153,133840259,126319354,126319352,133839050,128725203,114825263,105737272,91513274,77582135,64413573,64413575,77582140,91513288,86721470,86721467,100696814,109436710,95180646,95180644,109436724,123630073,260546012,162533771,167134365,167134366,177634000,177339331,166785589,155088812,142444207,129069195,115140527,115140529,129069198,270897926,119973727,105738950,105738949,91515141,91515143,105738955,119969277,133836487,147081198,152420206,139694461,139694460,142007685,142007686,154651716,272887265,260600794,87069696,73452112,60703839,256944942,39375075,49302128,60703845,70977033,58261212,46894050,46894049,58261210,70977029,84540329,84540304,70977005,70977008,70977529,70977530,84540921,98463166,98462923 Dl.O(d2) = 112453536,126319650,139694311,260086068,98462788,84540524,258040691,256852285,37014623,46894140,258018346,84540522,261091471,261069662,262143160,175097051,184682009,261069720,259888670,258643122,139277720,126319620,112453504,98463242,98463241,112453502,259888524,91511977,91511976,105734667,105734666,119969710,133836775,126319271,126319274,116102803,112096240,98463287,98463286,98463278,84541049,70977643,70977642,77577303,91508002,105732151,98137007,88060004,88060002,102045317,112453139,126319366,133834921,133834919,133840061,119973530,105738732,91514877,91514878,105738737,112098611,112094681,112094680,112453432,112453434,125930026,125930020,125930021,126319615,139694454,130254457,125930242,112096759,112096760,113806968,127674843,141022845,139084219,139084220,258018256,137362405,123630399,109437144,95181146,81122735,67656108,67656109,81122742,95181152,109437151,98138161,84244429,70692383,70692384,84244433,91800847,91800846,84245826,70693894,57975876,46598775,46598776,57975884,55316576,44470527,35093804,35093803,44470524,55316320,55316319,257465584,95180859,109436911,98137580,95181154,258018580,91513419,91513420,91513403,77582276,64413679,64413680,77582279,84245957,84245959,91513372,84243120,70690939,70690937,81180680,81122719,67656100,55316506,55316507,57974990,57974991,57647675,46302853,46302851,57647664,57975938,46598804,36710648,36710647,46598795,57975915,57975888,46598777,46598776,57975879,70692775,57974881,57974882,67656192,81122854,95181262,95181288,97983497,84108555,84108556,97983454,111922980,113806997,99793172,99793173,271542661,254716860,57647551,57647552,254489244,97721867,255375086,256290222,255375228,97722017,97722015,254716980,73425417,255012280,271283413,83863161,70337972,254220844,36449846,36449845,36449849,46302766,254326916,83863171,70337984,57647525,57647524,46302790,36449857,36449856,46302770,46302771,36449910,36449911,46302874,267822490,47983890,47983888,59373843,72106353,70338251,70337937,70337936,83863136,87043247,73425422,60677364,60677363,73425420,83863146,70337947,57647496,46302741,36449828,36449829,254220838,47983789,47983790,46302746,46302745,57647502,70337951,81180641,81180642,84243804,70691713,59373752,59373751,72106228,59373721,47983796,47983795,59373719,72106221,81180426,67715294,67715295,81180428,72106321,72106320,84243772,81180412,81180411,95235868,85692105,72106164,59373666,59373665,64413669,52539565,42181023,42181024,52539571,55375794,44529562,35153357,35153356,44529559,47983813,59373740,47983834,38071751,38071750,47983830,59373766,255374992,59373796,47983851,38071760,29508043,29508042,38071759,47983849,59373792,72106289,84246110,95236087,81180737,81180700,67715614,67715615,72106275,256828506,67715833,55376002,55375874,55375875,67715697,61277115,49797614,49797616,55375814,58878740,47498716,37594525,29046778,22351032,22351031,20172972,20172970,27067525,35153243,44529360,38072152,38072153,47984286,59374139,70337968,67715394,55375603,44529431,44529432,44529704,55375983,67715811,67715497,67715498,55375750,55375751,55375866,44529612,35153384,27067608,27067609,35153386,44529614,55375869,59373696,47983780,38071726,38071727,47983781,59373698,72106201,85692129,81180310,81180309,81180375,81180376,258017970,258018062,81180604,87043773,73426085,73426084,87043751,87043752,258018712,99641343,257408598,270154320,57976709,57976708,52537072,42179284,33220293,25473233,25473234,33220295,42179289,46599612,255802394,39350254,39350255,49276609,49276610,58048293,255375368,57976753,70694842,84246777,98140505,87043750,73426032,60678059,60678057,73426029,73426826,73426027,60678053,49276936,49276933,39350261,257024687,60678052,73426025,87043745,259269672,73426170,73426169,84246752,73426056,60678090,258212771,60678061,49276938,39350263,30750089,23328231,17062039,17062041,23328240,30750106,39350288,30750826,30750228,30750226,39350347,39350363,49277062,49277918,49277984,49277052,39350354,39350355,49277028,39351299,30751040,23328990,23328991,30751036,39351291,49277996,60679037,60678082,49276949,49276948,60678076,60678220,60679059,60677397,49276354,39349756,39349755,39351397,39351294,39350258,30750086,28385250,28385251,36881824,46760540,49277115,39350410,39350411,39350268,30750092,30750091,39350266,49276940,60678062,49277120,49277121,257605243,39351279,256479901,23328325,30750232,39350463,30750450,23328487,17062212,17062213,23328490,23328224,23328223,23329084,17062588,17061938,17061939,17062084,17062085,23328295,30750062,30750063,30750056,23328208,23328209,23327756,23327755,30749429,39349391,30749396,23327761,17061761,11970319,8014364,254380819,1809860,1809859,254380817,5103006,3097659,1809890,1809891,3097661,5103011,8014637,11970787,17062540,23328289,17062080,11970509,8014467,5102935,3097625,254380821,8014464,11970503,17062076,12411502,8388464,254854543,8014614,8014615,11970750,17062315,23328655,30750663,30750181,30749692,23327957,23327951,17061887,11970389,8014398,5102898,3097606,1809863,1809864,3097609,5102905,8014412,11970409,17061915,23327994,23329004,17062531,11970781,11970779,17062528,23327759,23329009,30749719,30750375,30750376,23328758,17062363,17062364,23328760,30750354,23328593,17062273,11970623,8014538,8014539,8014606,8014605,11970730,17062432,23328874,30749469,23329089,23329090,30751155,30750888,30749583,23327869,17061842,11970359,8014380,8014379,11970355,17061834,23327861,30749573,23327905,17061865,11970371,11970370,17061859,23327902,30749639,30750613,23328610,23328609,23328428,23328429,30750362,30750386,30749680,23327935,17061878,17061877,23327931,30749674,30750348,30750350,30750558,23328565,17062256,17062255,23328562,255978185,23327866,30749579,39349597,49276185,39349687,39349688,39350602,39351162,39350691,39349550,30749546,23327837,17061820,11970351,11970347,17061808,23327823,30749519,39349512,39349666,30749635,23327900,23327899,30749631,39349661,49276259,49278036,49276313,49276178,39349590,39349592,30750214,30750215,30750211,23328313,23328312,30750209,39350302,30750114,30750115,30749821,23328067,23328068,30749823,39243122,30647244,30647245,39243125,49168535,60567682,73310807,258212703,60677267,60784994,60677264,60677262,60678236,49384188,39456203,39456202,49384184,60677326,73425358,60677280,60677278,73425355,73426379,73532181,65106311,60678261,60678263,60094991,48698944,48698943,48827673,38905724,30318924,30318923,38905722,48827670,49384421,39456375,30852242,30852243,39456275,30852176,30852175,23421591,268202950,8100623,8100621,12049143,17144692,23421583,30852214,23421604,23421605,30749816,30749817,39349895,49276497,59451927,62651595,62651596,73532200,65106310,53119569,49384417,49384418,60784999,60784805,257407694,60678283,49384274,49384276,59451963,60784930,55347489,44501143,39350478,39350476,49277170,49384330,49384329,60784925,55347481,44501138,44501139,55347482,269395312,75594178,62651568,257640382,40887936,256895052,46513758,46513759,57869991,60346436,57870165,46513972,36699072,36699071,36646393,36646392,46513952,57870151,70571873,59451959,59451960,60678268,70571795,57870052,46513846,46513845,37298301,37298302,47205142,57870045,46513839,46513840,57870048,256839092,57870057,256353446,73085803,60346437,48949892,39027389,39027388,255052814,32032147,24469898,24469897,32032145,40789075,50905800,46513935,36646381,28170829,28170830,36646370,40392629,49974800,39958189,31283402,31283401,39958186,35123283,27036107,20143219,14448946,14448947,20143223,27036115,35123296,44501137,35123306,35123307,35165425,31215806,23731361,23731362,31215811,39893115,35165392,27077722,27077721,21034738,21034734,28231842,36725497,36725463,36725464,36646428,35123317,27036127,20143229,14448952,9940395,9940396,255747605,35123349,39269045,39269044,47946898,47946897,58082437,57870223,57870222,61393696,60329790,57870108,55390283,44543030,35165406,27077730,27077729,35165402,44543022,37992453,37992452,47908632,44543053,44543052,49957120,46901803,37024091,37024093,46901807,57870089,59303618,47908861,37992679,37992677,37992764,37992763,38033623,38033624,256383392,29430406,255075684,11100080,7361271,7361270,7361279,7361290,255074311,255449089,22098789,23810288,21360236,15382081,15382082,21360239,28592168,28722708,37253634,47158447,50290951,43400090,34299494,26422678,26422679,255792018,29430596,23257079,23257080,30672869,256279398,256383418,37729104,29168873,29168872,29430632,24283297,17902526,12682073,11928784,7982158,7982157,11908789,16994209,23257083,30672873,30330495,30330496,256994711,32285579,32285580,37099208,28722818,21466600,21466601,24304952,31821450,37253690,47158500,47225101,37373724,28833872,21562948,15541447,15541448,21562951,28833874,37373727,47283188,58674426,57746101,46395455,46395456,44828376,35402678,254706968,14598179,10044849,254218836,254218834,2544630,4256494,6789375,10319789,14988381,20892096,28062561,36528510,36536285,28069386,28069385,36536283,42913331,39407035,30802471,23374851,23374852,30802474,39407038,39407076,49336505,60739833,60739826,49336499,49321608,39393541,39393542,30790925,23364933,17095821,12009095,8066297,8066298,12009098,17095825,23364940,30790936,256146898,58561511,49336486,49336485,60739816,73488894,256820396,57835073,49321691,49321692,58115366,70830294,59720937,48336042,38431440,38431441,48336043,59720939,258326098,60739805,73488889,84284452,72456935,59720920,48336021,38431428,29870406,22511079,22511078,29870409,38431433,256146888,59720935,60723843,73471934,86055428,72456938,59720924,59720923,65381238,65381240,59720944,59720945,50577914,257226258,256152200,255068652,30374885,28304094,28304092,36720297,36720298,38670152,35174773,35174774,44552350,44780064,37433638,28892151,22229845,16095578,16095577,22229842,28920597,28920596,30722053,28219984,28219983,36712647,38143651,47340619,38144054,36811840,36811839,40891869,46682700,254840382,46694959,46694960,48056788,38143234,29576582,22229118,22229119,29576583,38143236,48056789,48323821,38412988,36798731,28301941,28301940,36799065,46684060,38143296,29576650,22229174,22229173,24174899,28304855,28304854,32785603,32785602,268212612,22472446,16302889,11343458,11343459,8982068,8982070,11851990,8209144,8209143,12177527,17299253,12177360,8981780,8981782,13175815,12177311,12177312,17299171,17440636,12294013,8303423,5357457,5357458,8303425,12294019,17440645,21284949,18544733,13176676,8981994,8981992,13176670,18543726,13176067,13176065,18543717,25088387,25088386,21697202,15657195,10838094,10838095,254270768,11278422,16224080,22381015,29739174,38307064,48216766,48216764,47285558,255913080,47357262,46689934,255870132,255849162,37251703,37251702,255525432,17060936,11969053,8012484,8012483,255144389,16336709,11366586,11366587,16336711,19189513,13704774,13704773,17350034,12222279,12222277,17350032,23668362,30649760,23228177,20850489,14950177,10284369,10284370,14950180,20850493,28016516,255283830,13996760,13996759,14978698,14978699,12222289,8251955,8251954,12222285,17350045,23668384,17709518,17580951,17580950,17916541,255596767,31814963,29743276,29743278,256947555,59608671,72343080,64198835,52348591,52348590,60194832,65083732,71526984,58797914,47411011,37503535,28960493,21678685,21678684,256345773,47411002,37503710,28960638,28960639,37503712,39844526,39844525,49867217,59172723,47773881,37850849,254517496,15865452,15865451,21957627,29282930,37503622,37503621,39844427,39844428,49867113,52552329,61349356,49867262,39844577,31161883,256506783,33852239,26031085,26031087,33626336,25824564,19173352,19173353,19350190,13839179,9492542,6225388,6225303,3897167,3897166,254668373,13838966,19349945,26026577,33846779,42890537,38764373,38764371,48686135,268939462,28085675,20912517,20912518,15027670,15027671,20935765,28112560,32090290,32090289,40861032,33082414,25351599,25351598,33082412,42026561,39525233,39525229,256647230,25493037,254923478,254923480,9254625,6061076,6061060,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5404198,5404196,7842800,4978438,3007359,3007360,4978447,7842820,11746776,11747051,9942122,6534447,4094275,4094272,6534440,9942106,12067663,12393516,13508500,18938865,18938866,25551314,21262297,21262298,28480143,255569496,17151189,17151188,23428426,30859485,39463957,49392371,268665752,59038722,47636683,43294388,43294390,256325220,34196377,26323794,26323795,256704321,37287087,28752935,255171686,19297986 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323853, s2 = 10345598, dlinesl.size( ) = 2 s1 = 14323853, s2 = 10345598, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14323853, Dl.E( ) = 12, 1.38e-05 seconds used appending s1 = 10582335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14312966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14312966, s2 = 8157688, int(edited[s2]) = 0 s1 = 14312966, s2 = 8157688, d1 = 21, d2 = 19 Dl.O(d1) = 9647193,9300096,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,4689166,4689164,7420341,9345169,13647328,19114904,25752996,33541530,42557800,42557796,42557797,38149375,29583291,29583290,37252145,28721265,21465019,15464100,10692747,10692746,15464099,21465018,256329095,47157007,37252137,37252136,37252140,37252138,42267369,33287366,33287367,33287374,25737896,19104839,19104840,25737898,33517431,42267378,42267377,35329756,255305624,14548604,14548606,20276782,27204536,22760028,22760027,268163312,42485775,42485774,256186004,26311270,34182788,43279297,47737115,47737114,37814876,37814875,36971074,28472850,21252878,15288019,10553391,6960388,4373154,4373153,6960384,10553381,15288007,21252861,254360042,26392117,34268320,38284217,32086184,24512470,18082773,12819873,8716257,5673805,5673806,7182866,255052255,21744332,18590741,18590740,25146890,255677474,33230276,25523432,18914088,18914089,21706409,21706410,22361745,22360247,22360248,23823946,17487089,17487088,23823942,23824018,17487142,17487140,23824014,31312951,39989517,41486683,35368118,27244190,27244191,35368120,44792825,55700516,68098098,81587957,95621731,109826224,123966106,137647739,134129921,120298905,106098469,106098470,119678945,260703854,103474508,89377768,258264340,84863843,71289500,71289501,77296970,81130274,67663231,67663232,259161171,109444886,101602069,101602070,109444904,95188793,258344288,55323114,55323115,67663283,81130387,87635276,74031815,74031814,81130334,95188763,88397620,74763473,61963199,256551402,88397624,102398628,91486623,77555824,258969796,81130388,74031809,74031808,77979032,259028026,64335165,64335166,64784935,52865775,42461813,42461814,33468493,25695579,19070365,13614567,9322437,6106662,6106661,9322435,13614564,13614565,255680881,33468482,256641004,52865716,52865714,47455596,37547604,37547603,47455595,58841390,58841379,58841377,64784866,77978985,91903413,268164046,71568307,71568308,71568319,71568318,84950816,71374902,58638314,47244959,47244960,58638315,59130987,59130924,59130925,71869101,71369634,71369633,71369623,58633000,58632999,71369621,71869092,71869016,60861007,60861006,59130918,257811575,42475577,42475578,42475567,33482205,33482206,42475569,52879300,52879333,268935001,29245643,29245644,37810206,47732306,47732303,37810158,37810159,47732297,38154989,38154988,48067777,52879321,42475596,42475597,48067758,38154971,33482226,25708768,25708769,29588630,29588629,29588603,22240398,22240397,29588600,38154980,48067770,48835994,42475546,38154976,29588598,25708733,19081709,13623266,11186323,7422404,254352343,254352345,7422406,11186327,9328568,6110602,3823416,3823415,6110600,9328562,13623280,19081738,25708771,19081749,15839460,10976259,10976260,15839462,21925626,29245661,35063452,44437572,42475591,33482220,25708762,25708761,22240396,16104517,11186321,11186320,16104515,22240392,255223398,24809638,24809637,32444299,26611937,26611938,34598978,43869240,46791154,48692556,41898192,32960099,25238916,25238913,32960093,41898189,52234061,58158587,46791147,36913534,28415829,28415830,36913536,35225025,35225026,44605863,55454515,48067454,38154662,38154660,32400650,24777126,18297139,18297140,24777216,32181848,32181849,37325193,255615074,24595139,24595138,32182069,37210209,256083642,51421128,51421129,51421168,51421126,51421125,63118026,51421166,257734729,51421167,257717282,89929259,104058755,118218309,132038746,145276666,157689076,169132730,179402538,188435219,179402537,174155121,174155120,183824194,183824198,174155125,174155124,165784881,154017189,141347335,140268884,126920831,126920830,126920828,126920829,126920835,113066742,113066743,126920843,126920832,113066736,99077946,99077947,99077941,85154031,71586351,58862764,47480394,37574678,37574679,47480395,58862769,71586358,85154042,72655506,59914956,59914957,57757230 Dl.O(d2) = 70452283,269840364,258650388,57744279,57744275,46393751,46393752,57744280,70439300,83966404,97826701,86663545,73058475,73058474,259397714,112906607,112906608,112906601,98919024,98919023,112906599,112906610,98919028,84994273,71421006,71421005,256959268,112906603,126759177,133747586,119877598,119877599,133747588,146997516,152801871,271342538,146997518,133747590,119877600,105639097,91413394,256416752,52451257,42098318,33144119,25404021,25404022,33144120,37387542,39945818,49226239,256475987,23285715,17026593,11941621,11941622,17026595,23285719,30662822,39258716,39297381,30699770,23284117,22958304,22958305,30359737,38945881,48865594,49226306,60256669,60269590,63780391,60256598,48863649,48863650,38954287,30368161,268418523,16721997,11680391,7788654,7788653,11680389,16721994,22957983,30359488,38945685,48865438,258185367,70774534,70774603,84333295,98240341,112218532,126074597,129130677,129130678,142507808,155151930,155151928,142507807,129130676,127924280,127924279,141285616,153957659,155151923,166845010,261151958,142123703,128768871,114871854,100820632,100820633,114871855,128768873,142123706,153507293,140826670,259963104,85622978,72034505,72034504,72034507,268939460,37988216,29426853,22096007,15987632,11098704,7360426,7360425,11098700,15987626,22095998,21573554,15550518,10755122,7105521,7105518,10755115,15550503,21573529,23242876,16975304,16975303,22095881,22095880,29426706,29426791,23381628,17111266,12024640,8084233,8084232,12024638,17111262,23381620,30810141,39415384,49227822,39300874,30703387,23287590,17028450,11943437,7994104,7994103,11943436,17028449,23287587,30703383,39300866,49227821,258209085,55362962,44516740,44516741,41687817,32771379,25074366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14312966, s2 = 8157688, dlinesl.size( ) = 12 s1 = 11122203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473419, s2 = 11321206, int(edited[s2]) = 0 s1 = 11473419, s2 = 11321206, d1 = 4, d2 = 2 Dl.O(d1) = 264007342 Dl.O(d2) = 263741408 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473419, s2 = 11321206, dlinesl.size( ) = 2 s1 = 11473419, s2 = 11321206, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11473419, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11413513, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10511833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12760728, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12656963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12656963, s2 = 14164648, int(edited[s2]) = 0 s1 = 12656963, s2 = 14164648, d1 = 21, d2 = 23 Dl.O(d1) = 100396054,114070202,100043906,100043905,114070200,100043903,86081344,86081345,100043904,114070201,127950131,141309887,153980578,165753333,176415387 Dl.O(d2) = 261465886,147753158,134622741,120825976,106577987,106577988,258433632,85374912,71785406,257481759,37719707,37719708,47641712,59043502,71785405,85374909,99319820,113323294,127182813,140529428,153211584,165030174,175761876,172644682,161469518,149183760,135959794,122032226,122032225,122032226,107657516,93254673,79139432,65785060,53728878,43217004,34129268,255711735,19543126,26262890,34129270,256903231,29178696,29178695,37739572,47661402,59061589,71802286,65901055,65901056,61495396,50017451,50017452,61495397,74272231,87874133,101846652,101846648,87874129,74272225,74272226,87874130,99334122,113336448,101010976,257811028,73403504,87018162,101010978,87089673,78537296,65247302,65247301,78537294,92584854,106903693,101010984,257811026,60723840,60723839,73403509,60657768,49257944,39332179,30734204,23315122,23315121,30734201,39332174,49257936,60657757,73403494,73403520,60657784,49257953,39332186,39332182,39332181,49257946,60657773,71108760,58391980,47020765,37133261,37133260,41726273,41726272,47301611,37392391,28852140,28852141,28621115,21384093,15401022,15401020,21384088,28621101,37133259,28621109,28621110,37133273,47020777,58391991,47661407,47661408,59061599,58391985,47020771,37133266,37133267,47020767,47020773,58391983,71108762,84671893,269779793,58391971,71108752,59061614,59061615,58391986,47661421,37739593,37739546,29178666,21867937,21867938,256361447,255432139,10942532,10942533,15793929,21867891,29178607,28621088,28621089,37133243,47020743,58391967,258093261,269329665,37739551,29178678,21867948,15793969,15793970,21867949,15794021,10942609,7240752,4564928,2745424,2745423,4564927,7240750,10942608,15794018,21867956,21867994,15794016,10942603,7240746,4564925,2745422,1591172,904620,510210,510209,904618,1591168,2745416,2745411,267827531,10942567,15793976,10942597,7240743,7240744,10942599,10942575,7240727,4564910,4564909,4564908,7240726,10942573,15793985,21867964,29178697,37739575,47661403,59061592,71802291,85390488,99334124,113336451,105481298,258668752,52342292,268611476,33059837,42003377,52342293,64192349,77339411,91259081,105481299,119720477,133594857,146852560,159226036,153045226,140347410,126993248,113135077,99144911,85222464,71657071,58935675,47553957,37648773,37648774,47553959,58935677,71657073,85222466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12656963, s2 = 14164648, dlinesl.size( ) = 14 s1 = 11254359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11254359, s2 = 9681885, int(edited[s2]) = 0 s1 = 11254359, s2 = 9681885, d1 = 34, d2 = 68 Dl.O(d1) = 101788203 Dl.O(d2) = 8768281,5709783,3553665,2116923,1220277,689322,384883,379207,228949,126114,68461,64472,64469,64096,64093,65310,65312,119677,218047,392271,698659,254431799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11254359, s2 = 9681885, dlinesl.size( ) = 54 s1 = 16361853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16361853, s2 = 8344584, int(edited[s2]) = 0 s1 = 16361853, s2 = 8344584, d1 = 85, d2 = 12 Dl.O(d1) = 273346050,10331981,15000164,13297805,10309402,6780674,6780673,10309401,6793654,6793653,10324668,14993819,13306544,9088050,254912475,18699621,25271735,268738847,257599438,41936853 Dl.O(d2) = 93373268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16361853, s2 = 8344584, dlinesl.size( ) = 44 s1 = 11356787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356787, s2 = 7706972, int(edited[s2]) = 0 s1 = 11356787, s2 = 7706972, d1 = 22, d2 = 20 Dl.O(d1) = 260880506,259669390,48039690,48039689,49906804,53541627,53773079,43257181,34168951,34168950,30695005,23279793,17021047,15511103,15511105,19484199,13943355,13943354,19484194,26193342,257255263,270585161 Dl.O(d2) = 273274055,218071536,265033360,225757725,266185477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356787, s2 = 7706972, dlinesl.size( ) = 26 s1 = 11075675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11171605, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14278942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14278942, s2 = 12761351, int(edited[s2]) = 0 s1 = 14278942, s2 = 12761351, d1 = 0, d2 = 0 Dl.O(d1) = 260553187,99085729,85163122,258084301,47496513,37592161,37592160 Dl.O(d2) = 260553187,99085729,85163122,258084301,47496513,37592161,37592160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14278942, s2 = 12761351, dlinesl.size( ) = 2 s1 = 14278942, s2 = 12761351, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14278942, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12761352, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11511975, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511975, s2 = 12639399, int(edited[s2]) = 0 s1 = 11511975, s2 = 12639399, d1 = 37, d2 = 48 Dl.O(d1) = 264709979,264158327 Dl.O(d2) = 10380745,6840673,4292670,4292669,254714417,15055586,20965287,28143715,256823139,57840179,48589974,47903256,47903255,59297952,72034223,60065736,48669405,38747626,38747625,48669404,60065738,72803624,86399232,100355989,114379877,128256585,141607278,154263285,166016157,176657403,186073947,194281796,264239689,264776895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511975, s2 = 12639399, dlinesl.size( ) = 20 s1 = 11493561, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11201055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201055, s2 = 11150428, int(edited[s2]) = 0 s1 = 11201055, s2 = 11150428, d1 = 56, d2 = 12 Dl.O(d1) = 258812848 Dl.O(d2) = 58145213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201055, s2 = 11150428, dlinesl.size( ) = 36 s1 = 14278988, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10685231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11464825, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328885, s2 = 220815, int(edited[s2]) = 0 s1 = 11328885, s2 = 220815, d1 = 45, d2 = 0 Dl.O(d1) = 262654483,184766223 Dl.O(d2) = 5365268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328885, s2 = 220815, dlinesl.size( ) = 50 s1 = 15284678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541861, s2 = 13998242, int(edited[s2]) = 0 s1 = 11541861, s2 = 13998242, d1 = 105, d2 = 123 Dl.O(d1) = 265278688 Dl.O(d2) = 213278862,217076302,265273367,224734455,222359667,219593397,216318857,216318858,219593399,216318859,212370544,263983150,201682276,207540074,274355481,274525684,224734455,224734454,224734456,265743099,226796656,226796655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541861, s2 = 13998242, dlinesl.size( ) = 36 s1 = 12658919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15284773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420969, s2 = 4977386, int(edited[s2]) = 0 s1 = 11420969, s2 = 4977386, d1 = 69, d2 = 56 Dl.O(d1) = 176667681,166026882,154274062 Dl.O(d2) = 211349150,206338789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420969, s2 = 4977386, dlinesl.size( ) = 14 s1 = 11238019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11326367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11326367, s2 = 11395452, int(edited[s2]) = 0 s1 = 11326367, s2 = 11395452, d1 = 12, d2 = 9 Dl.O(d1) = 262129217 Dl.O(d2) = 183978747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11326367, s2 = 11395452, dlinesl.size( ) = 18 s1 = 8487681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8487681, s2 = 14105770, int(edited[s2]) = 0 s1 = 8487681, s2 = 14105770, d1 = 19, d2 = 22 Dl.O(d1) = 112090969,125925141,139274451,151981387,163850382 Dl.O(d2) = 151981389,263073217,174668226,174668227,184101458 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8487681, s2 = 14105770, dlinesl.size( ) = 28 s1 = 11323813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548833, s2 = 10990630, int(edited[s2]) = 0 s1 = 11548833, s2 = 10990630, d1 = 26, d2 = 31 Dl.O(d1) = 265593192,265030204 Dl.O(d2) = 259481510,49719189,39700540,39700541,255543628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548833, s2 = 10990630, dlinesl.size( ) = 2 s1 = 11548833, s2 = 10990630, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11548833, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 16355327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16355327, s2 = 15304501, int(edited[s2]) = 0 s1 = 16355327, s2 = 15304501, d1 = 14, d2 = 11 Dl.O(d1) = 98177341,112139960,125977073,139329185,152036411,163900782,174712099,184329262,192745007,199983381,206100487,202163309,195277403,187224751,177975222,167500988,261843717,261843719,116094715 Dl.O(d2) = 261301171,155882956,167500989,177975223,187224752,195277404,202163311,195495150,187477723,178264437,167822871,156229513,143699950,130373364,257035472,88434751,74802117,74802116,74391499,61613973,52255559,52255560,50513954,48509698,48509697,50133169,40113083,31434222,23943202,23943203,31434224,40113085,46610980,57987250,52683062,47989378,47989377,59379648,70704561,59856542,48465660,38553069,38553070,48465664,48465676,46505179,46505177,57861349,256827953,28208769,21015792,21015793,28208771,36699726,46586449,57963053,255876380,36699722,28208768,28208767,36699720,39288353,30691104,23276306,17017862,17017863,23276307,30691107,39288355,257600303,60615752,73360590,86972165,100956514,115010805,128912860,142264459,154898468,166598391,177171068,186517990,263947591,201641099,207512905,212352465,216305610,219582540,222350054,224725521,226788435,228588029,228588028,274638093,266526795,237600154,237963453,237213829,236391628,266303304,232228999,230907445,229432319,227771241,225878376,223708330,221202975,218277908,214796581,210566443,205388538,199130750,263041274,173278523,173278522,162184239,162184240,173278524,162184243,162184244,173278529,183124702,183124701,272785368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16355327, s2 = 15304501, dlinesl.size( ) = 2 s1 = 16355327, s2 = 15304501, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16355327, Dl.E( ) = 16, 1.22e-05 seconds used appending s1 = 15896146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12104472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12763414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11085215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389435, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389435, s2 = 11427644, int(edited[s2]) = 0 s1 = 11389435, s2 = 11427644, d1 = 4, d2 = 13 Dl.O(d1) = 170562072 Dl.O(d2) = 197280207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389435, s2 = 11427644, dlinesl.size( ) = 8 s1 = 11389159, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654547, s2 = 8633751, int(edited[s2]) = 0 s1 = 11654547, s2 = 8633751, d1 = 34, d2 = 33 Dl.O(d1) = 255192877,12537529,17721446,24078528,31584433,40271555,50292811,40271537,31584419,31584418,269001849,37628138,37628137,33712698,25906321,25906322,33712701,42742409,42742466,42742467,48277952,38366330,29793495,22427487,16260692,16260691,22427485,29793490,34767743,30755838,30755837,33712723,25906338,25906337,33712722,36706070,33712727,33712726,33712755,25906354,25906353,33712753,38499802,29936700,22574248,16391708,11408381,11408384,16391714,22574255,29936716,38499832,37628161,37628160,38944124,30357943,30357942,38944122,38952797,48872536,60265154,60830925,60830850,49428698,39497390,39497389,49428696,60830840,49428692,39497386,39497385,49428690,49428783,49428782,60830936,67809791,55468015,256971602,49428717,49428716,60830863,73580565,73580578,60830873,60830872,60830855,49428702,49428704,60830822,49428679,49428680,49428708,39497394,30890144,23457453,17179246,17179245,23457451,30890141,39497388,49428694,258224327,73580526,60830871,49428722,39497401,39497400,49428720,60830868,73580572,73580534,67809796,55468018,55468019,67809797,81277418,72246940,59512464,48124932,38214537,38214536,48124930,59512461,49428683,49428684,53191964,42742413,33712704,33712703,257235087,49094944,39164981,39164982,49094946,60498493,256971600,37493955,28951548,28951547,256886697,58789614,71519438,73580540,72246942,59512466,48124934,46332200,36476653,28015933,20850003,20850002,28015931,36476648,46332190,39492534,38214541,38214540,48124936,59512468,60830959,59789834,48405275,38499812,38499813,48405277,59789835,72524852,65177735,61627209,50145337,40124235,31444853,23953147,17607046,12428294,12428295,17607047,23953149,31444857,40124239,256329722,21158432,15202606,10485882,10485883,9349393,8901279,8901276,13062642,13062285,8901056,5808349,3622989,3622994,5808362,5808370,5808366,8901092,13062345,13062200,13062204,18389550,24889358,23384626,18098443,18098444,15203714,15203715,17720258,24060912,18390422,13062759,8901345,8901344,13062750,18389476,18389477,20038037,20038035,17113743,12026388,12026387,17113734,21621745,18785774,13380182,13380183,13380193,13380192,12026693,12026691,17114218,23385413,17610893,12430746,12430747,15428229,10665686,10665685,15428244,13063228,13063226,14962715,11461102,8085470,8085469,5180875,3161124,1850577,1056170,593878,331074,331072,593866,1056144,1850529,3161032,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203870,15203872,13062999,8901485,5808586,5808587,8842083,8842084,12988423,18298319,24778767,29568271,30814152,30814151,25959896,25959897,28638543,21398195,21398196,16610621,11585397,11585396,16610616,21763312,21763310,25828711,19176679,19176680,25828716,33630907,32346288,32346287,32456008,31922984,24390111,24390109,30813843,24472768,18052409,12797891,8701064,5663672,3522483,3522481,5663668,8701053,12797873,15010206,15010208,10486936,6914357,6914353,10486916,15203915,15203914,21160108,23958445,25151163,32858146,32367626,24750544,18276621,12971841,12187981,12187980,15010321,15010322,13795265,9459720,6523702,4087540,4087541,6523711,254967290,27014570,30807559,30807558,37199360,29983652,29708488,22353283,16202045,11262843,7476916,4725391,2847134,2847133,4725385,7476900,11262812,14226148,14226168,9779821,9779825,14226182,16827011,19303500,19303497,21960976,15868043,10998087,255316053,6425008,4030887,2415546,1398289,1398290,2415592,4031013,6425284,9772298,255729519 Dl.O(d2) = 172846539,273288508,273493515,262545440,136781957,272056970,261537797,262562513,172846540,263000081,182746135,273824994,191399143,182746132,182746134,191399145,198845488,263715932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654547, s2 = 8633751, dlinesl.size( ) = 32 s1 = 12764308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12662743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12662743, s2 = 11245482, int(edited[s2]) = 0 s1 = 12662743, s2 = 11245482, d1 = 25, d2 = 22 Dl.O(d1) = 100396683,100396682,258173638,16847349,11781742,8901277,8901276,13062642,13062285,8901056,5808349,3622989,3622994,5808362,5808370,5808366,8901092,13062345,13062200,13062204,18389545,17114457,12026844,12026843,17114452,23385765,30814958,39420157,41974437,39419452,30816770,23387307,255287642,9221502,9221503,13480196,9378428,9378427,13694129,19176539,25828541,31462180,31279640,23793781,23793779,24889856,24889857,28121916,20944631,15036294,12026729,12026730,17114284,23385510,256484151,260081645 Dl.O(d2) = 259355278,46767362,58135064,70849411,84407039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12662743, s2 = 11245482, dlinesl.size( ) = 20 s1 = 11544313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544313, s2 = 11447342, int(edited[s2]) = 0 s1 = 11544313, s2 = 11447342, d1 = 22, d2 = 26 Dl.O(d1) = 227540502 Dl.O(d2) = 273825424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544313, s2 = 11447342, dlinesl.size( ) = 24 s1 = 12662767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11195879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195879, s2 = 8828961, int(edited[s2]) = 0 s1 = 11195879, s2 = 8828961, d1 = 0, d2 = 48 Dl.O(d1) = 77237187 Dl.O(d2) = 265784783,225393825,265467913,223126410,225393824,227364848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195879, s2 = 8828961, dlinesl.size( ) = 28 s1 = 14313676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11319627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8820495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 4822842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12765108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14313774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414251, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11585425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585425, s2 = 9354719, int(edited[s2]) = 0 s1 = 11585425, s2 = 9354719, d1 = 26, d2 = 35 Dl.O(d1) = 265893078 Dl.O(d2) = 87159378,256005806,60793808,60793807,49393183,39464740,30860433,23429799,17152960,12056433,10563677,10563678,10538237,10538236,8110056,8110055,10555188,10549350,10549349,10563453,13519596,13519600,16547498,16547497,22759605,18945156,15297807,15297808,18949814,13513062,12391891,8374245,7068628,7068626,10699345,15256992,10525917,10525918,15256995,17666386,23714657,23714658,18955229,13518714,9250756,9250755,10565465,8402953,5422312,3333304,3333301,5422321,8402973,12433358,10541544,6952076,6952078,10534074,15185879,15185878,19056066,20969209,20985740,15289083,10554366,10541370,10541371,6951988,6951987,10541376,13531132,18966576,18961063,13525168,9256315,6062218,6062216,9256309,10568503,6970787,6970785,10568500,15304430,18952098,17155546,12059008,12059007,17155542,23431893,29795214,22429026,16723223,11681535,7789629,4938899,4745221,2859830,1659821,944479,532745,532746,944483,1659827,1730103,2980329,4938898,7789628,11306580,11306579,7789635,4938903,2980333,1730105,983549,553710,309865,309866,553712,983551,1730108,2980338,4938913,4741022,4741023,7500225,11296763,7506388,4938911,4938910,7789645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585425, s2 = 9354719, dlinesl.size( ) = 20 s1 = 11648575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648575, s2 = 14485633, int(edited[s2]) = 0 s1 = 11648575, s2 = 14485633, d1 = 60, d2 = 20 Dl.O(d1) = 258751222,259994258,261170739,153674519,165453356 Dl.O(d2) = 254694857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648575, s2 = 14485633, dlinesl.size( ) = 26 s1 = 8805449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12665125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13996955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11127979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127979, s2 = 7722005, int(edited[s2]) = 0 s1 = 11127979, s2 = 7722005, d1 = 58, d2 = 61 Dl.O(d1) = 258975437,104076845 Dl.O(d2) = 185539241,273705881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127979, s2 = 7722005, dlinesl.size( ) = 22 s1 = 12766014, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12766014, s2 = 11361058, int(edited[s2]) = 0 s1 = 12766014, s2 = 11361058, d1 = 55, d2 = 53 Dl.O(d1) = 263689367 Dl.O(d2) = 260298419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12766014, s2 = 11361058, dlinesl.size( ) = 38 s1 = 11188837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11188837, s2 = 11504548, int(edited[s2]) = 0 s1 = 11188837, s2 = 11504548, d1 = 11, d2 = 18 Dl.O(d1) = 260712627 Dl.O(d2) = 273744041,207832005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11188837, s2 = 11504548, dlinesl.size( ) = 20 s1 = 11591443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591443, s2 = 13996552, int(edited[s2]) = 0 s1 = 11591443, s2 = 13996552, d1 = 42, d2 = 61 Dl.O(d1) = 266575717 Dl.O(d2) = 41940151,52279437,64129368,77277743,91198028,105420771,119658250,133532230,146790435,133532232,133532231,133532236,146790442,146790445,133532239,119658259,119658260,133532240,133532244,119658262,119658261,133532242,146790448,159165695,159165694,170507487,180643034,180643031,170507484,159165693,146790436,133532232,119658252,105420775,105420776,105420774,105420773,119658253,133532234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591443, s2 = 13996552, dlinesl.size( ) = 22 s1 = 11483901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11483901, s2 = 6975180, int(edited[s2]) = 0 s1 = 11483901, s2 = 6975180, d1 = 32, d2 = 45 Dl.O(d1) = 264812553 Dl.O(d2) = 263845572,126195276,260840506,84441671,91796051,91796050,105990810,117709526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11483901, s2 = 6975180, dlinesl.size( ) = 36 s1 = 7219477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7219477, s2 = 5634065, int(edited[s2]) = 0 s1 = 7219477, s2 = 5634065, d1 = 24, d2 = 17 Dl.O(d1) = 264172214,224857396 Dl.O(d2) = 230255538 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7219477, s2 = 5634065, dlinesl.size( ) = 30 s1 = 12766614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 5424201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 5424201, s2 = 7612482, int(edited[s2]) = 0 s1 = 5424201, s2 = 7612482, d1 = 19, d2 = 78 Dl.O(d1) = 224164029,226290285,228141402 Dl.O(d2) = 112643068,98646266,84715793,71145772,269357436,47049250,49018526,49018525,55412873,44565215,35186849,32635005,24965218,18963283,18963284,256653647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 5424201, s2 = 7612482, dlinesl.size( ) = 52 s1 = 13839636, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12318079, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12318079, s2 = 11394383, int(edited[s2]) = 0 s1 = 12318079, s2 = 11394383, d1 = 19, d2 = 7 Dl.O(d1) = 261262290,128999367,142375071,262304797,166722012 Dl.O(d2) = 183484478,173703922,162691929,261103352,123907714,109770498,258677582,68052772,55655980,55655981,68052774,81539625,95570182,109770505,123907715,123907718,109770501,95570180,95570181,109770503,123907720,137589008,262096947,173703929,183484484,192035327,199391401,205615564,200175706,192983357,262641012,164182111,261084852,139569098,259903860,112333231,126193899,126193918,139569112,152298948,164182121,174997920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12318079, s2 = 11394383, dlinesl.size( ) = 12 s1 = 11443641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443641, s2 = 12316805, int(edited[s2]) = 0 s1 = 11443641, s2 = 12316805, d1 = 10, d2 = 33 Dl.O(d1) = 196615280,203274806 Dl.O(d2) = 223002791,220347329,217215883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443641, s2 = 12316805, dlinesl.size( ) = 26 s1 = 12234735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11345195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11345195, s2 = 5451851, int(edited[s2]) = 0 s1 = 11345195, s2 = 5451851, d1 = 24, d2 = 19 Dl.O(d1) = 272705045 Dl.O(d2) = 224907823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11345195, s2 = 5451851, dlinesl.size( ) = 20 s1 = 11162615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162615, s2 = 7369084, int(edited[s2]) = 0 s1 = 11162615, s2 = 7369084, d1 = 0, d2 = 61 Dl.O(d1) = 64117876 Dl.O(d2) = 265928390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162615, s2 = 7369084, dlinesl.size( ) = 52 s1 = 14011179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12666885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15285677, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15285677, s2 = 11073034, int(edited[s2]) = 0 s1 = 15285677, s2 = 11073034, d1 = 42, d2 = 49 Dl.O(d1) = 264150100,223848835,274451807,229535660,227883919,227883920 Dl.O(d2) = 84267309,70716213,58000016,255533754,61665691,54632263,54632261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15285677, s2 = 11073034, dlinesl.size( ) = 2 s1 = 15285677, s2 = 11073034, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15285677, Dl.E( ) = 54, 1.81e-05 seconds used appending s1 = 11413269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11413269, s2 = 12821853, int(edited[s2]) = 0 s1 = 11413269, s2 = 12821853, d1 = 0, d2 = 52 Dl.O(d1) = 183303828 Dl.O(d2) = 274391625,223744309,221246138,265331185,265184690,214860261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11413269, s2 = 12821853, dlinesl.size( ) = 38 s1 = 13998241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11504541, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11504541, s2 = 11431000, int(edited[s2]) = 0 s1 = 11504541, s2 = 11431000, d1 = 15, d2 = 2 Dl.O(d1) = 219288634 Dl.O(d2) = 199386900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11504541, s2 = 11431000, dlinesl.size( ) = 20 s1 = 11538799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538799, s2 = 12142993, int(edited[s2]) = 0 s1 = 11538799, s2 = 12142993, d1 = 11, d2 = 15 Dl.O(d1) = 226238869 Dl.O(d2) = 139654865,126285001,112422349,98434045,84512588,70948959,70948960,84512590,98434047,112422351,126285004,126285003,126285002,139654867,152375298,263088245,193025089,200213731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538799, s2 = 12142993, dlinesl.size( ) = 12 s1 = 11596459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16284098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314098, s2 = 11485808, int(edited[s2]) = 0 s1 = 14314098, s2 = 11485808, d1 = 32, d2 = 52 Dl.O(d1) = 236157856,266546639,266546640 Dl.O(d2) = 222926459,220261479,217115864 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314098, s2 = 11485808, dlinesl.size( ) = 40 s1 = 11194153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11194153, s2 = 7405301, int(edited[s2]) = 0 s1 = 11194153, s2 = 7405301, d1 = 46, d2 = 33 Dl.O(d1) = 271956694,145437414 Dl.O(d2) = 266318594,266214786,234571011,266214786,233491990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11194153, s2 = 7405301, dlinesl.size( ) = 42 s1 = 11556391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314106, s2 = 10344219, int(edited[s2]) = 0 s1 = 14314106, s2 = 10344219, d1 = 69, d2 = 50 Dl.O(d1) = 11219829,13183765,8986995,8986994,13183761,18554136,19274316,19274317,16148494,11220765,7445141,4704063,2833817,2833815,4704058,7443834,7443833,9738788,6404046,6404044,9717132,7443808,7443806,11218602,16147954,17128059,255901189,22296242,17456966,17456965,15694298,255424315,29038013,37585623,29038111,22296377,22296378,23400162,21745737,21745736,21745950,21745927,15694377,10864745,7183415,7183416,10864747,15694382,21745887,21745888,29038081,29038468,21746229,21746230,29038471,23400205,23400204,254780286,25941929,19278594,254749974,28663417,28663418,37184189,29649319,267990590,33749563,41623496,47079280,38211588,29645001,22293078,22293077,23200448,30622254,30622267,28225240,21029282,21029280,28225233,36718554,29641245,23475437,17193482,16360493,16360494,22533940,25941201,27189254,23188560,23188561,22332131,22289620,16145600,11216793,7442520,7442518,11216782,16145576,16793782,23038418,22469544,16300860,16300861,12143470,12143471,15694278,21745787,29037947,25941999,25031147,18498574,13142534,13142533,13780746,13780749,19278131,23200430,16931158,16931160,23200438,27188946,35308528,38391070,38331134,29760713,23188575,16922022,11842852,11842853,16922026,23188591,19278223,19278222,19278926,13781337,9448789,254780180,19278350,16279729,16279731,16145778,11216887,7442573,7442572,11216878,16145762,21987589,21987588,20264971,14539723,14539724,20264973,27188858,25941396,19278139,13780754,13780755,19278141,254534160,27188307,254780016,25941125,33748838,42779948,42779947,35308361,27188751,24341297,17950810,12720438,8643306,8643305,6194518,3877122,2321957,1346283,254665833,13781026,258446569,260320169,134953131,134953132,272730565,262962911,263745611,197889833,190308391,190308390,197889831,264379589,265490035 Dl.O(d2) = 219179356,264987852,85769697,72175550,258123070,255457071,255457069,269808175,258645417,258738338,10426381,255013807,21044089,28243172,35404624,27278687,20343031,254987957,10046620,14600698,20343039,18129910,15115769,10426358,6874260,4315361,2581003,1486987,1486988,2581008,4315371,6874280,10426393,15115829,21044124,28243216,28242994,21043963,19824928,14201074,9762169,9762168,14201070,19824922,26636915,34626774,43899033,43899036,34626787,28242986,28242985,255335960,33837397,33837398,40933604,256831469,34626758,26636906,26636908,268375989,15115781,10426363,10426364,15115783,21043966,28242997,28243041,258020909,58296323,46930538,46930540,58296324,71011251,75650896,89412638,103506632,112121465,258941688,70717656,70717655,59955546,48563594,38648242,30072400,22692491,16491053,16491054,22692493,30072403,38648248,46625887,37059859,37059860,46938305,42880497,33837381,26018202,26018201,33837377,42880493,53344643,59435796,49300909,39373929,39373930,48563565,54674878,48563640,48563641,53344633,65346750,71024038,58308562,46942174,37063197,37063196,41759532,41759533,52072502,42176084,33217517,255826505,21327595,28552401,37052400,46930547,58296333,66931406,66931407,71950550,59435797,48043886,38130744,38130745,48043887,258122965,58308552,48045165,48045166,52222183,52222184,64063533,72693599,66872622,257285760,34602507,34602505,30072443,22692518,22692519,30072446,38648299,38131178,29565494,29565496,38131182,48044440,38131287,38131288,29565962,22220080,22220081,22219813,22219812,29565550,38131267,29565544,22219809,16087883,11173660,7413358,7413357,11173659,16087880,22219799,22219824,29565563,38131296,29565956,22220076,22220078,29565958,38131816,48044555,59436459,59436371,48044450,48044451,48045145,48045148,59437052,72175494,84574986,84574987,84558335,70994858,58280216,58280217,70994859,259138579,66961640,65346738,258452305,84558321,70994840,58280202,46914778,46914779,58280204,70994842,70994848,70994849,64063525,269070199,257767235,47825763,47825762,47825760,37904130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314106, s2 = 10344219, dlinesl.size( ) = 32 s1 = 11270443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314136, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11476591, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11476591, s2 = 7886552, int(edited[s2]) = 0 s1 = 11476591, s2 = 7886552, d1 = 81, d2 = 1 Dl.O(d1) = 210634579,214851641 Dl.O(d2) = 18710433 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11476591, s2 = 7886552, dlinesl.size( ) = 42 s1 = 14314150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11609249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15743417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14213183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548071, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548071, s2 = 7105168, int(edited[s2]) = 0 s1 = 11548071, s2 = 7105168, d1 = 66, d2 = 79 Dl.O(d1) = 266004877 Dl.O(d2) = 139699685,262647597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548071, s2 = 7105168, dlinesl.size( ) = 18 s1 = 12768910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12768910, s2 = 9724621, int(edited[s2]) = 0 s1 = 12768910, s2 = 9724621, d1 = 18, d2 = 20 Dl.O(d1) = 230693727,229181891,229181892 Dl.O(d2) = 274656991,229527999,227875610 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12768910, s2 = 9724621, dlinesl.size( ) = 16 s1 = 11594205, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594205, s2 = 7056433, int(edited[s2]) = 0 s1 = 11594205, s2 = 7056433, d1 = 31, d2 = 45 Dl.O(d1) = 238561479 Dl.O(d2) = 261954397 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594205, s2 = 7056433, dlinesl.size( ) = 40 s1 = 11603673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11603673, s2 = 3068230, int(edited[s2]) = 0 s1 = 11603673, s2 = 3068230, d1 = 42, d2 = 0 Dl.O(d1) = 240383593,239854658 Dl.O(d2) = 95122299 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11603673, s2 = 3068230, dlinesl.size( ) = 18 s1 = 16269535, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11589673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589673, s2 = 11545632, int(edited[s2]) = 0 s1 = 11589673, s2 = 11545632, d1 = 28, d2 = 14 Dl.O(d1) = 266752875,266870635,240680822,240680823,240176916 Dl.O(d2) = 274397843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589673, s2 = 11545632, dlinesl.size( ) = 24 s1 = 11519467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519467, s2 = 11591084, int(edited[s2]) = 0 s1 = 11519467, s2 = 11591084, d1 = 4, d2 = 13 Dl.O(d1) = 264922480 Dl.O(d2) = 265819475,266193583,266486471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519467, s2 = 11591084, dlinesl.size( ) = 2 s1 = 11519467, s2 = 11591084, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11519467, Dl.E( ) = 14, 4.77e-06 seconds used appending s1 = 14314308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314308, s2 = 7501062, int(edited[s2]) = 0 s1 = 14314308, s2 = 7501062, d1 = 19, d2 = 25 Dl.O(d1) = 265692193,274550457 Dl.O(d2) = 266578359,266722091,238744401,267244373,267361031,244430713,267318144,267269202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314308, s2 = 7501062, dlinesl.size( ) = 20 s1 = 15304939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526651, s2 = 11593810, int(edited[s2]) = 0 s1 = 11526651, s2 = 11593810, d1 = 7, d2 = 9 Dl.O(d1) = 265619221 Dl.O(d2) = 274676793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526651, s2 = 11593810, dlinesl.size( ) = 14 s1 = 11363477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12670765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11575639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575639, s2 = 11040300, int(edited[s2]) = 0 s1 = 11575639, s2 = 11040300, d1 = 42, d2 = 38 Dl.O(d1) = 266658793,238797896,239407471,239970103,239970100 Dl.O(d2) = 266678820,266442158,274638033,274417489,272245360,49338305,39408821,256474668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575639, s2 = 11040300, dlinesl.size( ) = 12 s1 = 11545163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11521025, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11631291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10841055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10841055, s2 = 13862804, int(edited[s2]) = 0 s1 = 10841055, s2 = 13862804, d1 = 33, d2 = 38 Dl.O(d1) = 244675813,244861206,244675814 Dl.O(d2) = 274830067,266105270,229809866,229809865,274593525,229809853,229809852,228190261,226346228,226346211,226346212,226346230,224229595,221787972,218940777,218940778,221787974,221787975,221787976,224229597,265546122,221787956,221787954,224229570,224229573,221787958,221787957,224229572,226346199,228190228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10841055, s2 = 13862804, dlinesl.size( ) = 2 s1 = 10841055, s2 = 13862804, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 10841055, Dl.E( ) = 40, 3.29e-05 seconds used appending s1 = 11613425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613425, s2 = 6418369, int(edited[s2]) = 0 s1 = 11613425, s2 = 6418369, d1 = 88, d2 = 129 Dl.O(d1) = 267066048 Dl.O(d2) = 2809173,1629652,926652,926651,1629653,254086118,7363778,11103999,254123456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613425, s2 = 6418369, dlinesl.size( ) = 24 s1 = 14314442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314442, s2 = 10647683, int(edited[s2]) = 0 s1 = 14314442, s2 = 10647683, d1 = 63, d2 = 88 Dl.O(d1) = 238691083,239311864,239883148,240410603,240899798,240410591,240410590,240899796,241352614,241771889,242158838 Dl.O(d2) = 246608539,246608538,246533287,246454239,246370569,246370568,246282004,246187432,246187429,246187428,246088074,245983308,245983309,245983307,245871736,245752946,245626280,267404748,245344719,245489833,245626284,245752951,245871745,245871741,245752948,245626281,245626282,245752950,245871744,245983299,245871726,245752941,245626278,245489831,245344717,245190928,245190927,245026825,244851856,244665987,244466521,244252867,244023240,243776614,267160518,242917497,242588444,242235235,241853568,241440100,266857076 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314442, s2 = 10647683, dlinesl.size( ) = 2 s1 = 14314442, s2 = 10647683, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14314442, Dl.E( ) = 90, 2.22e-05 seconds used appending s1 = 6238405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637587, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637587, s2 = 11498672, int(edited[s2]) = 0 s1 = 11637587, s2 = 11498672, d1 = 14, d2 = 16 Dl.O(d1) = 246503295,246422672 Dl.O(d2) = 265477770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637587, s2 = 11498672, dlinesl.size( ) = 46 s1 = 10379647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314510, s2 = 7252392, int(edited[s2]) = 0 s1 = 14314510, s2 = 7252392, d1 = 42, d2 = 32 Dl.O(d1) = 266576969,274888181,245470921,267479410,245890762,246001558 Dl.O(d2) = 265049771,212799549,208035618,208035617,274122103,265049773,202257607,202257606,274441388,212799508,208035578,263986953,187348410,273169395,156047698,156047697,262831095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314510, s2 = 7252392, dlinesl.size( ) = 14 s1 = 11640735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14257734, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14005131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16402222, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11321993, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11220863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11220863, s2 = 8594647, int(edited[s2]) = 0 s1 = 11220863, s2 = 8594647, d1 = 3, d2 = 23 Dl.O(d1) = 73989710 Dl.O(d2) = 260854400,261959032,159179345,262919647,189556877,264866223 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11220863, s2 = 8594647, dlinesl.size( ) = 20 s1 = 11156697, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11179373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12674955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12674955, s2 = 11179374, int(edited[s2]) = 0 s1 = 12674955, s2 = 11179374, d1 = 32, d2 = 0 Dl.O(d1) = 52041522,41726455,32806197,25104127,25104128,32806199,41726456,52041523,63861081,76972748,90851420,77793666,64610938,52710529,42323456,33342557,25583111,18975006,13539611,9268615,6070995,6070994,9268614,13539609,18975002,19215428,19215427,25874156,25874155,25418881,18827018,18827019,18388431,18388429,19273195,18402398,17323131,17323132,23638794,25935591,256602591,51608974,49026866,39097829,30501859,30501858,39097828,49026864,60430511,73177362,86789900,99303722,85358588,71768332,59024637,47621239,37698016,29137272,29137274,28564330,28564331,37065996,46945108,49086365,39174892,30577303,30185600,22795778,16579070,16579071,255113521,7692823,254364143,967214,967212,967578,966037,966039,1699034,2929038,4799664,2892986,2892985,2894669,4802582,4802651,2894720,2894715,2898191,2898195,4808882,2901044,2901048,4813830,2934157,2934155,4273853,2555269,1471871,1471873,2555276,4273873,6813927,7684059,11549640,16568442,22784216,30172953,256980225,60073252,258364452,51795626,268727569,18444917,18444916,24963427,18626213,254293346,5899772,3685211,2205932,1281090,1281089,2202794,1281211,1277923,1277925,1280199,2203804,2198513,2198512,3672928,5882908,9011183,9014772,11500362,11500360,14442518,14442516,13222744,12500618,8467813,8467812,12500611,17676959,18161636,12879489,8759352,5703041,5703042,4504641,4504642,7153041,6029550,5738331,3573181,3573179,5738324,3779132,3779134,2709555,2709556,2708524,2708525,2708599,2708600,2263120,2263125,2263159,2263160,2263369,2263370,3778641,6040065,9223552,13482247,18913184,256133055,31114745,23628241,17312283,12187779 Dl.O(d2) = 6908074,6908073,10477283,15189517,21140729,25443289,18846473,18846474,24703339,32317575,31564220,24058354,255191333,12521886,17703438,24058358,31564230,40251830,50273146,258278457,88152515,74537563,74537564,83717382,74537569,61753493,50273233,50273221,40251883,40251882,50273220,61753314,61753313,74537428,74537590,74537430,66131044,66131045,79515619,79515614,66131035,66131037,61753379,50273154,40251834,31564232,31564233,27938887,27938886,256235208,57528874,61753476,74537554,88152467,74537386,74537384,88152465,88152531,74537505,61753405,61753404,61753512,50273254,50273255,61753513,74537525,63783438,62945865,51271900,256587422,24675224,24675226,32284825,257139249,51968169,41660460,41660459,51968167,61753480,61753479,68127575,71946212,71946213,68127014,59207173,47807823,47807824,55729600,256767219,35395544,44821594,55729605,68127601,59207199,47807864,37884418,29315546,29315545,37884417,29315608,21987352,21987353,29315612,37884501,47807935,59207247,47807951,268629482,44821625,47807826,47807827,59207176,59207254,47807942,47807943,47824182,59207223,54618702,43876236,255442286,29315581,34605653,34605654,257286169,66876600,257161012,42059030,33109849,33109850,35395556,35395555,37884539,47807976,55729634,44821620,35395564,35395565,35395539,27268676,20332934,14592262,10040935,10040936,14592265,255762749,255442294,29315599,37884479,47807908,37884543,37884544,47807974,37884538,37884536,29333970,29333971,29315617,21987355,15890950,15890951,21987357,29315620,37884402,37884403,33109847,25374505,18789601,18789603,25374508,29315493,29315492,35395520,29315523,21987283,15890910,15890909,21987280,29315518,22003099,22003098,268556723,20332928,20332930,26617736,26617735,34605646,27268670,27268669,256374600,29333992,37902516,35395560,35395559,37884455,29315573,29315574,37884456,47807892,47807945,37902452,37884523,29315627,21987360,254758778,254758776,29315637,33109843,29315538,21987296,21987297,29315496,21987266,15890903,15890902,21987264,29315490,37884361,29333995,29333996,22003103,15902775,11024700,7299212,7299213,7299206,254758773,15902743,22003034,29333932,37902440,47824123,47807809,37884343,37884344,47807811,47807883,59207163,47807808,44515616,37884413,29315543,29315541,22003038,22003039,29333939,37902447,47807807,37884341,34592074,26605226,19798436,14181421,14181420,19798434,26605223,34592067,43862449,44821945,43862409,268556713,20332581,20332580,27268147,35394908,44820922,44820923,48719994,55729028,44821002,44821003,55729032,54605366,54605365,55361992,48720000,44820962,44820963,55728997,68127028,81616904,72851801,60114938,60114939,66863449,55729048,48720020,38798995,30214952,30214953,38798998,48720016,48720017,51899640,41599467,41599466,51899636,255186818,38798976,38798977,48720004,55361998,55729024,268828834,35394920,38798966,30214935,30214936,38798968,48719997,60114916,59207213,47807887,47807886,44820949,44820950,55728983,60114910,48719991,48719990,59207295,47808001,47808000,47808004,38139518,38139519,38139532,29573230,22226345,16092948,11177472,7416050,7416051,11177476,16092956,22226365,29573266,38139563,48052911,55729067,55729497,44821466,35395355,35395354,35395284,27268429,27268431,35394987,35394988,44821077,37902075,37902076,44821504,44821503,35395427,35395428,35395827,35395828,44821464,44821414,35395241,27268398,20332755,20332756,27268402,27268443,35395301,35395447,44821434,35395281,27268426,27268427,29315648,35395439,27268591,27268592,35395442,44821508,37902091,29333548,22002695,15902508,11024542,11024541,15902506,22002691,29333542,35395297,27268440,20332786,14592156,10040881,10040880,14592151,20332783,27268414,27268415,35395266,35395796,35395444,35395425,35395408,27268560,27268558,35395403,35395258,27268411,20332764,14592142,14592143,14592139,14592140,20332759,20332788,27268448,35395308,35395391,27268550,20332860,20332859,27268545,27268377,20332731,14592125,14592126,20332736,27268384,29333531,22002685,22002686,29333534,35395419,32307777,32307778,27268511,20332841,14592201,14592202,20332845,27268516,35395378,35396292,35396290,27269469,27268871,27268870,27268282,20332672,20332673,14592188,14592186,20332826,14592224,14592223,20332876,20332886,20332885,27268586,35395275,256767197,35395203,27268341,20332705,20332706,27268344,20332837,14592199,10040901,10040899,14592195,20332835,27268467,27268468,35395327,27269297,27269296,35396071,35395609,27269066,27269064,35395616,27268738,20332984,20332985,27268739,35395380,27268520,27268518,20332852,20332853,20332680,14592092,14592091,20332677,27268288,255344293,10041096,6598780,6598781,10041101,14592526,20333313,27269095,35395955,35395085,27268274,27268275,27268725,20332975,14592413,14592412,20333094,14592674,10041196,6598840,6598839,10041193,14592667,20333519,256240539,268837595,44821840,44822253,256240555,20333668,14592789,14592566,14592567,20333367,27269142,27269122,27269123,35395981,39309375,30711765,23295288,17035558,17035557,23295285,30711761,39309372,44821814,35395974,35395973,35396247,44821916,44821917,55729847,44821993,35395992,27269134,27269133,27269199,27269200,35396069,33774973,33774974,33774987,33774986,42807331,44821792,35395719,35395718,27269419,27269420,35396256,44822250,44822302,35396329,27269506,27269507,35396330,44822306,44821772,39309406,30711782,23295297,23295296,30711779,39309401,256613387,25029376,25029377,32715176,41620448,51922609,53260220,53260221,53260358,48840524,38920092,30333799,22933040,16698273,11658943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12674955, s2 = 11179374, dlinesl.size( ) = 5 s1 = 15286463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11538241, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552279, s2 = 7505449, int(edited[s2]) = 0 s1 = 11552279, s2 = 7505449, d1 = 33, d2 = 21 Dl.O(d1) = 266990643,241612031,267100555,242719628 Dl.O(d2) = 267309289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552279, s2 = 7505449, dlinesl.size( ) = 26 s1 = 11598141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14111957, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11665920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11131207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11450359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450359, s2 = 10988350, int(edited[s2]) = 0 s1 = 11450359, s2 = 10988350, d1 = 20, d2 = 12 Dl.O(d1) = 193107160,193107161,200281294,193107157,184747164,175172828,175172827,184747161,184747164,175172828,175172827,184747162 Dl.O(d2) = 258674834,258050454,84644195,71081814,58365677,46995637,37110343,28601513,21368190,15388435,10634711,7020180,7020181,10634713,15388440,21368193,28601518,37110350,41046729,37443087,37443086,28903645,21629282,15598319,15598318,18687890,13294551,9076579,9076580,11516773,7660971,4847031,4847035,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744445,10263869,7831075,7831071,10264003,14926442,17243137,16297646,16297644,16225780,16225778,22383713,27220121,20348586,20348585,18704454,13311285,9092326,5948291,5948290,6606061,6606060,10053616,14610814,14925368,10263287,6744125,4225931,3262283,1917027,1917028,3262286,5312789,8241041,12210121,12208652,12208650,9067366,9067365,11509547,11509546,11509837,10354730,10354729,13283930,13283943,13283945,10047162,6602328,6602329,10047164,254849534,20857118,14955869,10375894,6837004,4289887,254325298,10375891,15049155,20958120,20958118,20958117,25726759,19095284 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450359, s2 = 10988350, dlinesl.size( ) = 22 s1 = 14040443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15299206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15299206, s2 = 4300469, int(edited[s2]) = 0 s1 = 15299206, s2 = 4300469, d1 = 64, d2 = 15 Dl.O(d1) = 52263285,259638979,260255591,259646286,86010609,86010608,259011705,64112118 Dl.O(d2) = 165541419 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15299206, s2 = 4300469, dlinesl.size( ) = 12 s1 = 12675521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11364183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364183, s2 = 14134428, int(edited[s2]) = 0 s1 = 11364183, s2 = 14134428, d1 = 110, d2 = 125 Dl.O(d1) = 260004574 Dl.O(d2) = 265951066,221187859,222508602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364183, s2 = 14134428, dlinesl.size( ) = 70 s1 = 11612755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612755, s2 = 5559667, int(edited[s2]) = 0 s1 = 11612755, s2 = 5559667, d1 = 17, d2 = 18 Dl.O(d1) = 267156293 Dl.O(d2) = 274693152,231275850,229839312,228222025,226380201,265543254 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612755, s2 = 5559667, dlinesl.size( ) = 20 s1 = 12772792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11588895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11588895, s2 = 14536818, int(edited[s2]) = 0 s1 = 11588895, s2 = 14536818, d1 = 134, d2 = 162 Dl.O(d1) = 266288594 Dl.O(d2) = 260298644,48827415,48827414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11588895, s2 = 14536818, dlinesl.size( ) = 36 s1 = 13805290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13995418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11403619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10526914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644625, s2 = 6412601, int(edited[s2]) = 0 s1 = 11644625, s2 = 6412601, d1 = 38, d2 = 37 Dl.O(d1) = 267694259,247790247,247796994,247803319 Dl.O(d2) = 247942137,267713617,247944985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644625, s2 = 6412601, dlinesl.size( ) = 36 s1 = 11447921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15262616, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15262616, s2 = 11627292, int(edited[s2]) = 0 s1 = 15262616, s2 = 11627292, d1 = 0, d2 = 21 Dl.O(d1) = 244418210 Dl.O(d2) = 267351897 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15262616, s2 = 11627292, dlinesl.size( ) = 24 s1 = 11627291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627291, s2 = 15262615, int(edited[s2]) = 0 s1 = 11627291, s2 = 15262615, d1 = 18, d2 = 1 Dl.O(d1) = 267351896 Dl.O(d2) = 244418211 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627291, s2 = 15262615, dlinesl.size( ) = 22 s1 = 11129257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129257, s2 = 624448, int(edited[s2]) = 0 s1 = 11129257, s2 = 624448, d1 = 5, d2 = 3 Dl.O(d1) = 255129806 Dl.O(d2) = 5877618,3669618,3669620,5877661,9003552,255244951,256107353,38021176,29459338,22125088,16010781,11115889,7372574,4657472,2805787,2805786,4657470,7372573,255450213,256382699,255885440,16010889,255887051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129257, s2 = 624448, dlinesl.size( ) = 16 s1 = 10586134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11493239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14144242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14144242, s2 = 12537873, int(edited[s2]) = 0 s1 = 14144242, s2 = 12537873, d1 = 3, d2 = 1 Dl.O(d1) = 229332496,227653134,265422594,230821636,265422592 Dl.O(d2) = 264803058,223538688,221002665 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14144242, s2 = 12537873, dlinesl.size( ) = 2 s1 = 14144242, s2 = 12537873, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14144242, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11292793, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14282794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12773152, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12773178, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14296847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14314904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14314904, s2 = 4183015, int(edited[s2]) = 0 s1 = 14314904, s2 = 4183015, d1 = 48, d2 = 41 Dl.O(d1) = 30408559,23003736,16764139,11716626,7817888,4960065,2995083,2995084,4960067,7817890 Dl.O(d2) = 140953714,153620120,157346624,144932900,131684055,117856117,103701479,89585590,75803111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14314904, s2 = 4183015, dlinesl.size( ) = 2 s1 = 14314904, s2 = 4183015, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14314904, Dl.E( ) = 54, 2.1e-05 seconds used appending s1 = 11426911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11360489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11360489, s2 = 10998518, int(edited[s2]) = 0 s1 = 11360489, s2 = 10998518, d1 = 57, d2 = 35 Dl.O(d1) = 114920375,261240153,260665163 Dl.O(d2) = 207459625,201583007,194600664,194600665,261315352,186447696,268003556,269529181,25888521,28753003,24204057,24204055,24084791,17727502,12542051,8502206,5503248,3392479,3392478,5503246,8274832,5339229,3281888,3281891,5339256,8274918,12252495,10709845,9410849,9410848,8297042,6869497,4311536,2578164,2578168,4311586,6869609,5549253,3434675,3434674,5549246,8548769,8548771,12597849,17797409,24165183,254189730,23711695,254608052,254411078,3282054,3282052,5339348,5339443,3282020,3275346,1926503,1100739,1100741,1926519,3275384,3275567,3275569,5328889,8259831,12232503,12608726,8557596,5554514,5554518,8557614,12237091,17369213,23691751,254374772,24101065,17802636,254251010,8551968,12602197,17802639,24170102,27041485,20148494,20148493,17704139,17704138,22183609,254188382,24071550,17715283,12531988,8493280,8493278,12531965,8494878,5496116,5496119,8494865,12533245,17716672,17812467,12610681,12610680,17757060,19229324,13737168,9411117,8547638,8500609,8500608,8566947,8566950,8566891,5562642,3446440,3446415,2040606,1169388,928573,928572,254350893,7394645,11148918,16056844,22183657,23683259,254412900,31641323,254205112,17715921,17715922,24072337,23040623,23040624,23040620,23040619,25544777,18931879,18931882,16170839,16170842,17824463,24193784,31641775,24134980,17772956,12577783,12577782,254617462,24180516,31689241,254617464,24082863,254617204,17782502,17782501,24149471,29526125,24169459,17802026,12601725,8551699,8551698,12601724,17802024,24169457,27044878,32836499,25131512,18578618,14210880,9769359,6423240,6423239,9769357,9769513,9769514,6423345,6423343,9769546,14211170,11817251,11817250,10746133,7099883,4470291,4470290,6393592,4012307,2404612,1391471,1391472,2404615,2404491,2404489,4012056,6393162,4881572,4881571,7712924,11587306,16612695,20148399,20148401,254409816,31677798,254418570,18864379,17818388,17818387,17787090,17787093,16470524,16470523,22665485,30040715,254866644,25339792,18759768,18759766,14129555,14129554,17725437,17725428,17725147,17725151,14126157,14126158,17794452,16625622,16625619,20152125,17771277,17771276,22664701,16469844,11475369,11475370,16469846,267913500,24186496,254865946,38614410,30567458,23150183,268116728,254607164,19704716,254412158,31573528,35129336,31587158,27120107,27120108,254445068,11230125,11230123,16163158,22310187,29662830,34320159,254608430,27042649,20149881,14454501,14454500 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287931, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12677007, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11374929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11374929, s2 = 11034230, int(edited[s2]) = 0 s1 = 11374929, s2 = 11034230, d1 = 46, d2 = 30 Dl.O(d1) = 152046501,263986296,36771148,28275750 Dl.O(d2) = 15136257,10439418,254490683,1488825,842506,842507,1488831,1805884,1805883,3091380,5093618,8001179,6881815,4319808,2583747,2583745,4319797,6424721,4030675,2415391,2415388,4030666,6424707,9771483,14213979,19170673,19170668,25820927,31083482,31083479,32753165,25061051,18522348,18522347,24601215,18153529,18153532,18153590,12872941,8754358,5699657,5699655,8754353,12872925,15903366,15903363,11025088,11025090,15903389,15135635,10439053,10439050,15135624,21071043,23298688,17038604,11952425,11952423,17038592,23298675,21071334,15135793,15135790,10439206,10439204,15135870,15126861,14213922,9771459,9771462,14213940,14394564,20076981,26960734,28275153,36770460,36568110,28097207,28097209,28097279,20922096,15014960,10343447,10343446,15014951,20922078,22397691,22397688,29758892,38328863,41960394,39394506,30791923,23366018,17096930,12010189,8067643,254825095,17096914,23365994,256482607,36737329,36737328,36754704,28259650,256294051,28260293,21058862,21058863,28260295,36755375,37539007,47447030,58001249,268459954,36737331,30414646,23009811,21043213,15115237,10426006,10426005,15115233,21043207,24190332,17821465,17821468,24190343,21053016,15122253,15122255,21053022,28253534,29173613,29173615,28254432,22352594,16201528,16201527,22352590,25673083,19051874,19051877,25673092,21982405,21982403,29310214,31699005,31699006,33444545,31698795,24190699,17821707,13600688,9312951,9312948,12618011,17821521,12618108,12618107,17821678,17821698,17821700,24190416,21948391,15858682,15852124,10986480,10986477,15852105,21940383,29261740,27055716,27055718,35141261,44517765,37734310,29173596,21863508,15790616,10940081,7238976,7238975,10940074,15790603,15907142,22008310,29173528,37734173,29173487,21863449,21863448,29173480,36751429,46637914,48927924,39004097,30414857,23009993,16770673,11724927,7827536,7827534,11724916,11724945,11724946,16770707,23010056,23086337,16833127,11771500,11771502,16833135,15858666,15858662,21948339,21056236,21056238,22865657,28248889,36744711,29758608,22397497,16236968,16236969,22397503,29758620,36753208,28258117,21057087,21057086,28255947,28255948,28257203,36752116,36752578,28257578,21056648,21056646,28257572,29759407,22398032,22398029,29759399,36458893,36458892,30033144,30033146,38606938,38326162,29756683,22396080,16235969,11287796,11287794,16235964,22396071,29756667,38326135,39095603,36753221,36753219,38330958,32084222,25475353,18873984,13449383,13449380,11288436,7494886,4737804,2855458,2855455,4737796,7494870,11288413,16236960,22397472,22398062,28258061,28258059,28413565,21191950,21191952,22139344,16022256,16022257,22139352,29476254,38039147,30033093,22658415,22658416,28000208,21056688,21056686,16237559,11288765,10691250,10691253,15462242,11287807,7494536,7494540,11287851,16236062,22396230,26615355,19806737,19806734,22398841,16237823,16237822,22398853,25060967,32753046,29758793,22397625,22397624,20924478,15016814,10344874,6810651,4271657,4271655,6810645,9206881,9206884,6027640,3770939,2259444,1311415,254204965,3770931,6027604,9206907,255652841,256115071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11374929, s2 = 11034230, dlinesl.size( ) = 44 s1 = 14314938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12677125, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14213067, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14213067, s2 = 8661164, int(edited[s2]) = 0 s1 = 14213067, s2 = 8661164, d1 = 8, d2 = 38 Dl.O(d1) = 233071723 Dl.O(d2) = 166753091,155053526,142407464,129032738,115103922,101029609,87033387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14213067, s2 = 8661164, dlinesl.size( ) = 2 s1 = 14213067, s2 = 8661164, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14213067, Dl.E( ) = 68, 2.29e-05 seconds used appending s1 = 15260002, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179082, s2 = 10178807, int(edited[s2]) = 0 s1 = 13179082, s2 = 10178807, d1 = 7, d2 = 5 Dl.O(d1) = 37050022,30739992,255273728,17055271,23319894,26158398,34000211,256149344,39517920,39517919,268029444,29318109,21989533,21989534,15895154,15895156,13372624,13372625,18777134,268067324,19460444,19460446,19161532,19161531,19617700,14058504,14058501,19460034,19460033,21156435,19459999,13926500,13926498,13927398,9559359,6272450,6272451,9559364,13927406,19461342,26121190,28328992,27231536,27231537,33522448,33958547,26121178,26121179,30359840,22958445,22958444,26160240,19460434,13926798,9559001,9559000,9403291,254658998,2309523,1339935,1339932,2309510,2415587 Dl.O(d2) = 53162285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179082, s2 = 10178807, dlinesl.size( ) = 2 s1 = 13179082, s2 = 10178807, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13179082, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 10178806, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13179282, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14035238, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14035238, s2 = 13063111, int(edited[s2]) = 0 s1 = 14035238, s2 = 13063111, d1 = 15, d2 = 24 Dl.O(d1) = 267957235,4254416,4254417,254708375,10316388,14984648,20887771,267923570,24730153,18257297,12953993,8814619,8814618,12953992,267867816,24730151,32345724,41160335,41906121,40463435,31768730,24256590,24256589,31768728,40463432,50499447,51567515,268721923,32498126,41345492,257263656,256183902,63025934,76009018,77903218,74787767,61991334,52153341,268280034,36827835,36827836,42400871,33411844,25644899,19027495,19027494,13581482,9299486,6091837,3811537,3811536,6091833,9299475,6092132 Dl.O(d2) = 6298103,9593206,13970409,19516549,26232583,34094738,43178934,53689809,65746495,79102257,259729627,104085094,89954142,258975753,63138925,51439999,41241202,41241201,32415464,24789991,24789944,24789943,26316840,256183903,257263657,53810601,43285496,268721922,41241212,32415471,24789999,18307235,12995312,8847230,5765989,3591458,2141275,1236544,700875,700874,1236542,2141272,3591451,5765976,8847207,12995282,18307195,18307196,24789955,256596669,32415427,41241165,258349429,89954122,271497385,132064190,145300162,272957557,263306211,188449736,193025303,198712595,191238450,182556924,261640804,149165282,135940730,122012476,107637262,93233443,79116459,79116458,93233442,107637259,107637260,122012474,133906180,120062571,120062572,121091543,106832280,106832279,92520956,78481294,268748588,42761560,33731656,25924689,19262859,13767269,13767268,9439621,9439622,255694527,33734481,256648540,65200117,78484631,269578607,43394983,34295084,26418806,268164753,14110691,19682332,19687471,14115250,9710817,6388392,4009146,2402833,1390375,790610,447702,447705,790625,1390417,2395997,2395996,3912229,3912230,6249087,9526483,13884276,19407296,26096543,26096540,26096541,33929892,34188573,26316844,19591563,14037130,9651161,9651160,14037127,19591560,256183903,257263657,53810601,43285496,34188572,33705263,25899036,19238519,13745012,9417360,9417357,6171710,3861805,2313486,2313482,3861750,3862012,2313565,2313561,2415583 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 6 Dl.To( xright[d2] ).size( ) = 6 s1 = 13205330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12786764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13231392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8329768, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8329768, s2 = 13231391, int(edited[s2]) = 0 s1 = 8329768, s2 = 13231391, d1 = 7, d2 = 4 Dl.O(d1) = 62541594,257836068,24489980,255699754,5669455,5669454,5669469,3526738,3526740,5669476,5670276,5670279,8710388,12810844,8710286,5670229,5670226,8710276,11289788,11289785,13704892,15082793,10403240,6857678,6857620,4303680,4303683,6857637,8946339,8946342,13125785,8946451 Dl.O(d2) = 5674999,8718441,9946170,9946171,8801992,8801989,12364427,16678962,13942213,9569508,9569512,13942234,18067324,12809146,12809143,18067313,18094952,18094951,18073905,18073904,18073266,254886085,5670965,3527480,2099417,2099422,3527511,5671046,8711800,5675003,5675000 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 13267922, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12786880, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14019688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12787304, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054058, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1250578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3545008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12679133, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11188157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11188157, s2 = 11208240, int(edited[s2]) = 0 s1 = 11188157, s2 = 11208240, d1 = 26, d2 = 1 Dl.O(d1) = 260106638,5311710,255162687,23650238,31137883,39820511,49844016,49938764,39920926,39920925,269776662,256763899,35354003,27230822 Dl.O(d2) = 10025305,269309268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11188157, s2 = 11208240, dlinesl.size( ) = 28 s1 = 14219652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14219652, s2 = 12908913, int(edited[s2]) = 0 s1 = 14219652, s2 = 12908913, d1 = 6, d2 = 10 Dl.O(d1) = 20212097,14503754,9980160,9980157,11757956,11757957,7851835 Dl.O(d2) = 4983690,3010389,3010393,4983709,7851650,11759816,16816969,255958563,39068635,39068633,39068632,48992791,60390988,49777282,49777281,52521957,42163704,42163705,52521958,64395819,77564115,91495167,105719657 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14219652, s2 = 12908913, dlinesl.size( ) = 2 s1 = 14219652, s2 = 12908913, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14219652, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 12679325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8743794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12679947, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12789012, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11047581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12901378, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12901378, s2 = 9043976, int(edited[s2]) = 0 s1 = 12901378, s2 = 9043976, d1 = 33, d2 = 22 Dl.O(d1) = 161403395,149116519,135896084,273370930,182518995 Dl.O(d2) = 262716393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12901378, s2 = 9043976, dlinesl.size( ) = 24 s1 = 12344090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8748067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11524839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524839, s2 = 14348801, int(edited[s2]) = 0 s1 = 11524839, s2 = 14348801, d1 = 1, d2 = 1 Dl.O(d1) = 222346707,274203938,212346646,207506819,201635022,194657779,194657778,200723994,200723991,193615668,185320977,175812045,175812044,165082700,153265496,140584598,140584599,260670484,273343525,200724002,193615674,185320981,185320980,193615671,200723996,206721579,211676573,264260404 Dl.O(d2) = 222346707,274203938,212346646,207506819,201635022,194657779,194657778,200723994,200723991,193615668,185320977,175812045,175812044,165082700,153265496,140584598,140584599,260670484,273343525,200724002,193615674,185320981,185320980,193615671,200723996,206721579,211676573,264260404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524839, s2 = 14348801, dlinesl.size( ) = 2 s1 = 11524839, s2 = 14348801, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11524839, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11472619, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14327436, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14327436, s2 = 11563464, int(edited[s2]) = 0 s1 = 14327436, s2 = 11563464, d1 = 135, d2 = 35 Dl.O(d1) = 267353839,267374084,267332664,243884729,267232112,243048365 Dl.O(d2) = 225199136,225199137,265915231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14327436, s2 = 11563464, dlinesl.size( ) = 38 s1 = 11579817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11579817, s2 = 7497678, int(edited[s2]) = 0 s1 = 11579817, s2 = 7497678, d1 = 21, d2 = 29 Dl.O(d1) = 266202548 Dl.O(d2) = 267314341,243935764,267237593,243114788,267208858,267029242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11579817, s2 = 7497678, dlinesl.size( ) = 30 s1 = 11419361, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14325756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325756, s2 = 8069284, int(edited[s2]) = 0 s1 = 14325756, s2 = 8069284, d1 = 11, d2 = 5 Dl.O(d1) = 50081459,40059905,31377355,23880799,23880798,31377353,23880861,23880860,31377451,31377438,23880850,19322011,13816513,9475317,9475318,13816515,19322016,25993198,33808388,25992226,19321171,19321172,19322041,13816528,254667245,3888699,3888698,6212833,9475323,13816524,19322019,13816517,9475319,9475320,13816519,13816520,19322023,25993209,33543021,25754449,19116251,19116250,21720722,15676380,15676379,21720720,29006704,34647880,34647495,26656267,19842421,14215388,9772634,6425540,6425535,9772617,14215360,19842376,26656228,34647458,269174115,66919892,80346389,94400829,91825410,91825409,106020499,94400809,80346372,80346371,66919896,66919895,258506483,54663152,43920559,34647456,34647457,43920561,269614701,80346381,94400818,271146225,80346378,80346377,259764253,122953309,122953312,119227204,105034587,90855556,259631711,119227200,133057415,133057418,271473394,91412354,260271041,131982337,131982338,136783576,136783575,146285029,149919059,136783574,259761136,127337274,140693429,258985250,128210549,114327805,259324862,84523051,84523050,98444574,112433335,99457457,99457458,85511548,85511549,99457463,113467646,127337277,118017963,118017962,131844071,261915287,262881867,262829298,260806959,272664805,145102477,272448394,153375123,140693422,140693423,145102465,140693421,128445291,114561053,114561054,128445292,141798709,128445295,128445296,118017971,260738434,51331810,41146511,32331465,268715087,63012637,75996018,89773565,260210041,261376519,261223619,114561063,114561064,128445300,261223617,114561059,259430863,270863971,114561061,118017957,114561056,100530222,86569076,72970869,60233659,48839307,48839308,60233662,72970871,74282345,61505675,50027538,258259067,270863969,114561051,128445286,141798704,154445754,166181288,156190699,143660199,258811958,116498292,259435962,271826038,260228873,270484271,63400655,63400656,76444589,90274635,258358340,102402555,88401734,74769372,61971947,61971948,74769374,88401735,102402543,98866434,84939538,84939539,98866436,112854367,104425542,90274565 Dl.O(d2) = 99446433,113448545,127307441,127497315,140053444,126706122,112854358,112854359,271327063,259779968,113448527,99446416,85504878,71919572,71919573,85504881,99446417,268824874,59181357,47782136,37858292,29289459,21962895,15869276,255065721,10998840,15869279,21962899,29289468,268936083,52519786,64393743,77561832,71429392,71429393,85002325,257459778,71919563,59181345,59181346,71919564,71919567,59181393,256913977,37858315,269802063,71919593,59181379,47782153,257494199,258728007,71919615,71429395,257459776,98922624,256879648,98927048,258694553,58696979,47306804,37397494,256879641,258070515,71919570,85504876,256879646,59181376,71919590,67558040,67558041,81027468,80317337,66888905,256338246,94372841,84997833,84997832,98922626,108660274,94372857,94372858,84997828,84997827,85002321,258070520,98927056,85002332,71429401,58696991,256200158,269173412,80317336,80317338,66888907,54631189,43887780,34615556,34615557,26625942,19815114,14193786,14193787,19815116,26625947,255737092,66888940,66888936,54631220,54631219,66888934,67558075,55214448,44363494,34985695,26905373,20022170,14340434,9852080,254969151,20022166,255321718,35179945,254468104,267870492,35179942,44363489,44363488,35179947,27091203,27091202,20192465,14488169,9968550,9968551,14488164,9968548,254213702,20192455,27091187,20192458,20192459,254684838,44558249,55405747,67745473,55405754,55405755,44558264,44558263,55405749,254969148,268829701,254684836,14488159,9968544,9968543,14488157,20192447,27091183,35179919,44558234,55405737,67745466,255737088,44558218,35179908,27091175,27091176,35179910,255321712,67745458,81210597,257302430,81210602,67745464,67745463,81210600,95266619,109520266,109520253,95266587,81210559,81210561,95266590,81210564,81210563,95266596,109520260,123711535,109520265,256736788,67745448,55405719,44558216,255321708,256736786,43887797,54631209,44363419,34985631,34985630,257302429,259152083,109340300,114561141,123531830,109340298,109340297,109520257,269634752,95266604,95266603,95266607,81210581,67745445,55405717,55405715,67745442,66888926,54631212,54631213,66888928,55481524,257923267,81289327,95345607,109520276,95266625,81210608,255737096,44558243,255321716,67745469,81210610,257302434,95345601,94372854,80317352,67558014,67558015,81027443,80317354,66888924,54631210,256757745,268341093,20238682,27148858,256757743,55481534,67823234,81210590,95266611,109520269,114561139,100530334,86569201,72970991,60233737,48839363,269832349,100530332,109597956,100530339,259728718,67823229,259172377,109597947,95345597,81289314,67823206,55481515,44631375,35246942,35246941,30332310 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325756, s2 = 8069284, dlinesl.size( ) = 2 s1 = 14325756, s2 = 8069284, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14325756, Dl.E( ) = 12, 7.15e-06 seconds used appending s1 = 15164864, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12580856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12574404, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12684771, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15288711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11164863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164863, s2 = 7607922, int(edited[s2]) = 0 s1 = 11164863, s2 = 7607922, d1 = 13, d2 = 23 Dl.O(d1) = 256668310 Dl.O(d2) = 268721934,63286106,269211618 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164863, s2 = 7607922, dlinesl.size( ) = 12 s1 = 14261314, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12792816, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15312947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15312947, s2 = 8296722, int(edited[s2]) = 0 s1 = 15312947, s2 = 8296722, d1 = 60, d2 = 72 Dl.O(d1) = 181157700,190012225 Dl.O(d2) = 140566747,140566744,140566745,153248048,165065410,263523447,193602649,264487823,273711625,185305928,175795531,165065412,153248050,272550840,113363132,127221321,140566747,140566744,140566745,153248048,165065410,263523447,193602649,273859341,211668236,215719095,264978115,211668235,206712079,206712080,263881081,185305924,175795527,165065408,262687983,272203404,85419018,71831272,59091122,47692411,37770901,257156126,37878498,42144957,33185644,25440366,18843930,18843929,25440365,29199518,21887063,15810542,15810544,21887070,29199530,37760975,47683091,49023556 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15312947, s2 = 8296722, dlinesl.size( ) = 70 s1 = 12849980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11358307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358307, s2 = 11151168, int(edited[s2]) = 0 s1 = 11358307, s2 = 11151168, d1 = 14, d2 = 9 Dl.O(d1) = 141431118,262606294,100348554,86391470 Dl.O(d2) = 258179154 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358307, s2 = 11151168, dlinesl.size( ) = 12 s1 = 11317645, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11137051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11137051, s2 = 11009136, int(edited[s2]) = 0 s1 = 11137051, s2 = 11009136, d1 = 8, d2 = 2 Dl.O(d1) = 256325918,29788214,22424179,16258117,11303460,7504566,4743699,4743700,7504345,11303135,11303134,255471899,29788803,38360856,32114314,24537169,255217279,11303439,7504547,4743689,4743688,7504544,11303431,16258068,22424100,256408733,269343863,40509138,40509140,256950807,255911593,16257080,11302747,11302748,16257083,22422816,254602184,24045972,31549673,28245030,21045493,15116699,10426897,10426896,15116695,21045488,24542277,23978696,17634952,17634948,23981684,24734321,254582886,24734285,18261198,17625838,12445904,12445903,17625837,23973762,31469499,40153475 Dl.O(d2) = 23975589,23975588,30839183,25546523,18933853,13498365,13498364,18933851,25546520,33308104,42288155,39507423,30899879,30899880,30899892,30899890,23598702,17286195,12165302,12165303,17286199,23598714,28335799,21123815,17286230,12165319,8196615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11137051, s2 = 11009136, dlinesl.size( ) = 12 s1 = 12850072, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11265491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265491, s2 = 8222987, int(edited[s2]) = 0 s1 = 11265491, s2 = 8222987, d1 = 25, d2 = 49 Dl.O(d1) = 258470763 Dl.O(d2) = 260379870,80354047,66927989,54671468,256726159,255730207,19849730,24900190,24474587,24474586,268702263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265491, s2 = 8222987, dlinesl.size( ) = 8 s1 = 12850106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15900283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15867068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14325896, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325896, s2 = 7164340, int(edited[s2]) = 0 s1 = 14325896, s2 = 7164340, d1 = 57, d2 = 48 Dl.O(d1) = 255867918,46739208,36857535,28359587,21144476,21144475,28359582,29087325 Dl.O(d2) = 197524777,263460748,170872233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325896, s2 = 7164340, dlinesl.size( ) = 2 s1 = 14325896, s2 = 7164340, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14325896, Dl.E( ) = 58, 1.72e-05 seconds used appending s1 = 11556889, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7073838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16045376, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16045376, s2 = 8321128, int(edited[s2]) = 0 s1 = 16045376, s2 = 8321128, d1 = 34, d2 = 20 Dl.O(d1) = 263511936,153310099,140631137,127285447,113426658,99424663,85483210,71898322,258726013,59160425,47761823,37839371,29273103,21949970,21949969,28329446,28329447,21264643,15302321,15302322,17371051,23693562,23183039,21632688,21632689,23183033,23796476,31282697,30604286,23185297,23185296,16919683,16919682,23185603,30604638,36924648,36429195,27970623,20807473,14912380,10253740,10253742,14912385,20807486,27970639,30602566,23183781,255136589,7913104,5030415,5030416,7913106,11840444,16918337,21309241,21309242,28531944,30601801,23183104,16917845,16917844,23183099,255153760,17464053,17464055,12312034,8316182,8316183,12312035,17464057,255660653,18810742 Dl.O(d2) = 78334557,65055647,53073182,42625634 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16045376, s2 = 8321128, dlinesl.size( ) = 20 s1 = 12688781, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11408823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408823, s2 = 13219352, int(edited[s2]) = 0 s1 = 11408823, s2 = 13219352, d1 = 58, d2 = 103 Dl.O(d1) = 261948959,119223813 Dl.O(d2) = 28939962,37482038,47389665,256885759,255851489,15624781,15624780,17535673,255177295,12367995,12367994,17535676,19680587,14109056,14109055,268323701,16704361,16704366,11664268,255123675,22939907,22939908,22939909,256451295,38927501,256423572,258156236,30341181,22939904,16704363,11664267,254551713,2971707,267834215,7774861,11664270,16704368,22939912,30341185,34257611,26380049,26380050,26380051,255104850,267979326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408823, s2 = 13219352, dlinesl.size( ) = 46 s1 = 5438834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16345644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16345644, s2 = 8912933, int(edited[s2]) = 0 s1 = 16345644, s2 = 8912933, d1 = 1, d2 = 49 Dl.O(d1) = 197548854,204066168 Dl.O(d2) = 232047883,232047884,233260183,234358310,235357499,236268667,237100119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16345644, s2 = 8912933, dlinesl.size( ) = 38 s1 = 11418845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418845, s2 = 10361856, int(edited[s2]) = 0 s1 = 11418845, s2 = 10361856, d1 = 10, d2 = 19 Dl.O(d1) = 263042536 Dl.O(d2) = 274827175,274899896,267114723,242854190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418845, s2 = 10361856, dlinesl.size( ) = 12 s1 = 15248509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15248509, s2 = 8926068, int(edited[s2]) = 0 s1 = 15248509, s2 = 8926068, d1 = 23, d2 = 26 Dl.O(d1) = 274972217 Dl.O(d2) = 274869664,274821877,237795002,237031314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15248509, s2 = 8926068, dlinesl.size( ) = 28 s1 = 15313940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106415, s2 = 14127038, int(edited[s2]) = 0 s1 = 14106415, s2 = 14127038, d1 = 23, d2 = 31 Dl.O(d1) = 126790306 Dl.O(d2) = 263249297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106415, s2 = 14127038, dlinesl.size( ) = 38 s1 = 12794556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12690005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12794812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14081415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118797, s2 = 11379536, int(edited[s2]) = 0 s1 = 11118797, s2 = 11379536, d1 = 38, d2 = 13 Dl.O(d1) = 48754924,60149211,72885504,256452914,72885502,72885501 Dl.O(d2) = 144700584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118797, s2 = 11379536, dlinesl.size( ) = 14 s1 = 12850482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12850482, s2 = 14192737, int(edited[s2]) = 0 s1 = 12850482, s2 = 14192737, d1 = 19, d2 = 67 Dl.O(d1) = 186131631 Dl.O(d2) = 47029157,37140737,28627501,28627502,37140739,47029161,57804625,70505862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12850482, s2 = 14192737, dlinesl.size( ) = 14 s1 = 14316859, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11056743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056743, s2 = 16312312, int(edited[s2]) = 1 s1 = 12796106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12796106, s2 = 9690446, int(edited[s2]) = 0 s1 = 12796106, s2 = 9690446, d1 = 17, d2 = 18 Dl.O(d1) = 169004836 Dl.O(d2) = 74201168,61422604,49944701,256339564,31251641,31251640,39927084,49944699,61422603,74201167,87804645,101777119,115823370,129722461,115875098,101828088,87853442,74248771,61470507,49993086,49993085,40468571,36771713,28276157,21072363,21072361,28276166,33610099,33610097,37063823,40468408,40468407,47027568,47027566,58028975,47516509,37611659,29062399,21766571,21335744,15362271,10647093,10647094,15404165,21388196,28626254,29077683,28626211,21388171,21388173,28626216,33097572,25363994,18781164,13376397,13376395,18781157,25363983,33097563,33610043,33610044,42635796,34117379,34117381,43204504,49872718,49872717,48911021,38989105,30401198,22996982,22996980,17480822,12324942,8325454,8325453,12324937,17480795,12324931,12324930,17480791,23815471,24261590,22040863,15938297 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12796106, s2 = 9690446, dlinesl.size( ) = 2 s1 = 12796106, s2 = 9690446, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12796106, Dl.E( ) = 24, 2.69e-05 seconds used appending s1 = 11370637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370637, s2 = 9801612, int(edited[s2]) = 0 s1 = 11370637, s2 = 9801612, d1 = 95, d2 = 121 Dl.O(d1) = 262222438 Dl.O(d2) = 25083671,32781067,41697470,39149896,30551895,23133691,22132882,16017481,16017482,15822513,10964997,10964999,15822519,21902298,29216584,30204589,22813168,22813167,30204584,30684052,23267072,17003084,11916079,7971025,7971024,11916073,17003074,22813406,16595175,16595174,22813400,30204932,38789726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370637, s2 = 9801612, dlinesl.size( ) = 50 s1 = 11127559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11283299, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15289210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15289210, s2 = 11277280, int(edited[s2]) = 0 s1 = 15289210, s2 = 11277280, d1 = 33, d2 = 39 Dl.O(d1) = 211729792 Dl.O(d2) = 264716203,192942626,184553882,174947735,164126740,152240110,139509031,271763615,84385019,258028107,46742600,46742599,57836787,68058783,68058785,62072173,257108161,31845797,31845798,40543958,50580125,58112980,46743103,46743099,46743098,43308888,43308887,46742322,36860899,28362562,28362563,28362465,28359101,21144067,21144066,270318486 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15289210, s2 = 11277280, dlinesl.size( ) = 18 s1 = 12850786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15300022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15300022, s2 = 11267606, int(edited[s2]) = 0 s1 = 15300022, s2 = 11267606, d1 = 19, d2 = 20 Dl.O(d1) = 195353207 Dl.O(d2) = 260398716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15300022, s2 = 11267606, dlinesl.size( ) = 18 s1 = 11246059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11246059, s2 = 6911622, int(edited[s2]) = 0 s1 = 11246059, s2 = 6911622, d1 = 22, d2 = 30 Dl.O(d1) = 258526530,127480023 Dl.O(d2) = 260007891,258764731,257531737,29794605,22428514,16261552,11306030,7506295,4744839,4744840,7506299,10647391,7030126,7030127,10647395,7789867,255952857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11246059, s2 = 6911622, dlinesl.size( ) = 14 s1 = 14298978, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10999665, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11277369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277369, s2 = 4403957, int(edited[s2]) = 0 s1 = 11277369, s2 = 4403957, d1 = 169, d2 = 154 Dl.O(d1) = 259525222,153575629,165364404,176054041,262357522 Dl.O(d2) = 165649446,176320512,185766100,185766107,185766106,194003176,272943598,182954243,173069224,161916686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277369, s2 = 4403957, dlinesl.size( ) = 108 s1 = 16169382, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16169382, s2 = 12797001, int(edited[s2]) = 0 s1 = 16169382, s2 = 12797001, d1 = 26, d2 = 6 Dl.O(d1) = 205472357,199233065,260373688 Dl.O(d2) = 9851129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16169382, s2 = 12797001, dlinesl.size( ) = 2 s1 = 16169382, s2 = 12797001, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16169382, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 12797002, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11566643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11355539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11618015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11618015, s2 = 6100464, int(edited[s2]) = 0 s1 = 11618015, s2 = 6100464, d1 = 26, d2 = 30 Dl.O(d1) = 267233809 Dl.O(d2) = 243364265,243364270,243068065,242752862,242414166,242049355,241653053,241223935,240760732,240260225,239720163,239136144,238500937,237807513,237044780,236209921,235294081,234289092,233184716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11618015, s2 = 6100464, dlinesl.size( ) = 18 s1 = 15966790, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15966790, s2 = 6337739, int(edited[s2]) = 0 s1 = 15966790, s2 = 6337739, d1 = 61, d2 = 0 Dl.O(d1) = 247212567,275071586,247390184,267654328,267659918 Dl.O(d2) = 246507934,275036468,244798474,274980715,274964990,267146145 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15966790, s2 = 6337739, dlinesl.size( ) = 56 s1 = 15289369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15289369, s2 = 3003319, int(edited[s2]) = 0 s1 = 15289369, s2 = 3003319, d1 = 162, d2 = 64 Dl.O(d1) = 267341161,244436222,267318890,267270126,243987300,243737053 Dl.O(d2) = 91118453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11004043, s2 = 8699743, int(edited[s2]) = 0 s1 = 11004043, s2 = 8699743, d1 = 12, d2 = 17 Dl.O(d1) = 262180639,140001286 Dl.O(d2) = 260534020,258062016,256871384,31117987,23631410,23631412,23897528,25570531,18960943,15900927,11023413,7298329,4603385,2770136,2770135,4603384,6064350,3794327,3794324,6064341,9259169,13528470,15182110,15182112,15182097,10951001,7247490,7247492,255433205,15333968,10590544,10590543,15333966,12088751,8129510,8129511,8458304,8458303,7463859,7463860,11244451,11296149,11296151,9244297,9244296,13510492,12488032,12488031,268069128,256330279,257451137,258686657,98796338,112788494,261088326,71293905,259313455,112788499,126646471,140001276,152698281,164538945,175305622,184860342,193203789,184860304,184860303,193203785,200365327,206415240,206415236,200365321,193203781,184860302,175305588,262159902 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11004043, s2 = 8699743, dlinesl.size( ) = 12 s1 = 11567247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11567247, s2 = 11552932, int(edited[s2]) = 0 s1 = 11567247, s2 = 11552932, d1 = 28, d2 = 26 Dl.O(d1) = 266355705,236036647,236890374 Dl.O(d2) = 266094272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11567247, s2 = 11552932, dlinesl.size( ) = 34 s1 = 8077723, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16225951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16225951, s2 = 7872493, int(edited[s2]) = 0 s1 = 16225951, s2 = 7872493, d1 = 37, d2 = 27 Dl.O(d1) = 9162228,13401448,18811540,25400247,33139188,42092243,52443811,64310108,77472785,74353103,61576333,50096511,40075703,31394378,23900858,17556186,12385555,254852969,5401482,5401481,3321020,1953447,1953448,3320592,1953440,1116020,1116023,1953444,1116451,1116433,1116434,1954272,3322600,254271539,1956471,3326832,5411991,8366689,8386802,8386800,12409057,16896675,16896676,13535781,13535780,17551324,23704856,17382024,255024630,17380264,17380265,23702783,23702782,17400868,17400867,23724740,23899649,254496122,15846528,10981772,7268927,4584029,2757978,1598898,254231895,4584021,7268904,268079913,21934192,29255267,31409179,23919090,17577541,17577540,23734859,23734858,17539028,17369886,17369885,23692427,31182131,39864417,256049220,61367156,74147536,87751843,101724542,115769689,129666508,271881508,177674292,262373884 Dl.O(d2) = 62214249,50694358,40635186,31919584,31919583,40635185,50694356,62214246,75037232,88688094,88688095,102697394,107384635,112609080,112609082,112609081,102697380,88688079,75037221,75037222,88688080,102697381,105300973,91086944,77175862,64039260,52201157,41872869,32939988,25222363,254622706,9051694,5917201,3699413,3699414,5882825,3672860,2198474,1734299,985857,554921,310567,171755,171757,310614,555224,733107,417208,417205,733146,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250111,1278104,1283382,1283378,2210722,254092004,2987499,1734471,1734470,2987496,4949756,7804868,255126147,16746525,17500497,17500498,255786595,17500499,254850039,5380635,5380636,8336569,10296467,14964025,10354088,6818478,4277109,4277110,6818479,9072327,8594635,8594636,12658865,17184924,23464355,30897738,39505097,49435910,60837505,73587065,87209219,101210131,260088688,142588879,155226756,262789802,151753460,139051519,125712563,111895022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16225951, s2 = 7872493, dlinesl.size( ) = 2 s1 = 16225951, s2 = 7872493, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16225951, Dl.E( ) = 40, 1.41e-05 seconds used appending s1 = 11525645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525645, s2 = 12650231, int(edited[s2]) = 0 s1 = 11525645, s2 = 12650231, d1 = 30, d2 = 31 Dl.O(d1) = 222559086,219824606,216584963,212677130,207896778,202096183,195195214,187122809,177849792 Dl.O(d2) = 256080436,26034889,19357019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525645, s2 = 12650231, dlinesl.size( ) = 2 s1 = 11525645, s2 = 12650231, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11525645, Dl.E( ) = 44, 1.29e-05 seconds used appending s1 = 11147879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11147879, s2 = 15340023, int(edited[s2]) = 0 s1 = 11147879, s2 = 15340023, d1 = 71, d2 = 67 Dl.O(d1) = 268737667,9064479,5927025,3706066,3706067,5927026,9064481,255246941,10303635,10303636,6808498,4270276,2553119,2553117,4270271,4485071,2694745,2694746,4485074,7123388,10780844,10282548,6758291,4235028,2532059,2532058,4235026,6758288,254998319,9100340,5954228,5954227,9100333,9100331,5954242,5954243,9100360,13320251,10333038,258629599,261609081,125580599,111771552,260476595 Dl.O(d2) = 266344602,274519616,265583594,193783218,262293102 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11147879, s2 = 15340023, dlinesl.size( ) = 38 s1 = 12543097, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14328265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12800114, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11421925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317424, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11458887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11458887, s2 = 11082048, int(edited[s2]) = 0 s1 = 11458887, s2 = 11082048, d1 = 25, d2 = 51 Dl.O(d1) = 264853259,265204030,219261704 Dl.O(d2) = 72388051,256950588,256408281,255471469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11458887, s2 = 11082048, dlinesl.size( ) = 46 s1 = 10544706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10544706, s2 = 14181201, int(edited[s2]) = 0 s1 = 10544706, s2 = 14181201, d1 = 10, d2 = 1 Dl.O(d1) = 245453883 Dl.O(d2) = 245307471,274999058,244807600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10544706, s2 = 14181201, dlinesl.size( ) = 14 s1 = 12800574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12800574, s2 = 11328864, int(edited[s2]) = 0 s1 = 12800574, s2 = 11328864, d1 = 0, d2 = 15 Dl.O(d1) = 9608723 Dl.O(d2) = 93245109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12800574, s2 = 11328864, dlinesl.size( ) = 14 s1 = 12800612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15819392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15250628, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15250628, s2 = 14144892, int(edited[s2]) = 0 s1 = 15250628, s2 = 14144892, d1 = 4, d2 = 40 Dl.O(d1) = 216977573 Dl.O(d2) = 266345224,232814856,231552899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15250628, s2 = 14144892, dlinesl.size( ) = 8 s1 = 11070099, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3150485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11669688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317688, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14317688, s2 = 5957304, int(edited[s2]) = 0 s1 = 14317688, s2 = 5957304, d1 = 11, d2 = 8 Dl.O(d1) = 245002179,275024328,245606963,275018873,245606962,245541308,245399917,245250156,245090484,244919673,244737744,244542951,244333630,267284005,243605877,243605873,243325587 Dl.O(d2) = 243025948,242706381,242363751,241995029,267017883,240697374,240193977,239649603,239061887,238422494,237721514,236949881,236103083,235172766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14317688, s2 = 5957304, dlinesl.size( ) = 8 s1 = 11040247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040247, s2 = 14336025, int(edited[s2]) = 0 s1 = 11040247, s2 = 14336025, d1 = 6, d2 = 21 Dl.O(d1) = 16990513,11905234,11905233 Dl.O(d2) = 23253386,16990515,11905236,7962836,5065558,254253283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040247, s2 = 14336025, dlinesl.size( ) = 22 s1 = 11006655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006655, s2 = 14041174, int(edited[s2]) = 0 s1 = 11006655, s2 = 14041174, d1 = 70, d2 = 77 Dl.O(d1) = 254459336,962257,542273,542272,962253,1691686,254115642,542169,962021,961715,541988,303708,168114,92538,92537,168111,303704,541974,961695,254242635,962249,962250,254125789,303600,303599,541783,542453,542014,542013,542035,303738,303737,542033,542403,542010,303893,168213,92586,51082,28730,28731,51084,92590,168220,92610,92611,168254,303962,542455,962477,542394,542393,542029,542030,961766,1691296,2915498,4838177,7647023,9226029,13485002,11497276,7647367,7647369,6042271,3780209,2264238,1313435,1313434,2264233,254652221,13485105,255572729,8403881,5422847,254271991,1120002,628459,349161,349158,628521,1120120,1960805,3334001,5423381,5023467,5023466,5408200,8380276,12384159,12407230,12407228,10569097,10569096,15305127,15803473,15304977,12065404,9245272,9245271,13511789,12378437,12378436,13535210,13535211,10574288,10574291,8277263,8277261,12256109,16561464,16561463,12278783,8292464,5395873,5395872,8359826,12371655,17540274,23886722,17571660,17571659,23914320,23158763,16897416,16897415,17895241,16897590,11825090,11825091,16897593,17576554,17576556,23047392,23898174,17552866,17552857,12382439,9250117,6058094,6058097,9250124,11244421,7843502,4978830,3007545,3007547,4978836,6055434,8404454,8404455,12435392,10562648,6966749,6966748,9262643,9262644,254496254,17403819,17616602,268682977,61657559,270388947,51965700,41657969,32747462,28342860,21130589,21130586,28342855,33379366,25613819,23990774,17645955,12472534,12472533,17645949,23990759,31487845,255183236,38251328,38251329,268000200,52854729,268114434,46627629,36739615,31473938,23977584,254857250,12451519,17630178,23977556,23972510,23972508,21916105,21916107,29233321,23990791,17645977,17645973,23990819,23986518,17640719,12465118,12465114,17640694,23974058,23974062,31469881,40153965,50179058,61661726,60666320,58266990,46900948,46678923,36792818,28295936,24767195,18289320,12981528,8836898,8836900,12981536,18289331,23162221,23162223,25132007,25132005,32837073,31678205,24169978,24169977,18579025,13203293,9000835,5876304,3669059,2196269,2196270,3669067,5876329,9000868,13203351,18579126,13203365,13203367,14194142,18579180,25132244,19817333,14195364,9758400,6416302,6416301,9757766,6415963,4025236,2412179,1396173,794292,794291,1396162,2412146,4025176,6415861,9757575,14193930,15544977,15544974,17795291,23974946,21886703,18870140,15810345,10956108,10956110,8591785,5582638,3463720,3463716,5582624,8401179,12430287,17610104,19129682,17870551,17870547,12655020,12655018,15516798,15516800,21530141,16089474,11174691,7414012,4684841,4684840,7414002,11174660,16089413,15987008,11098311,11098310,9758298,6416253,4025402,4025401,6416279,9757641,9757640,13493122,18927162,25539453,255486898,7632272,254242272,16468953,15171600,15171604,21118499,28328974,28327746,21117616,21117615,28327743,36823319,29442234,29442232,26162926,19462605,13928363,13928362,15090854,10408116,6860855,4305810,4305809,6860852,255011919,10408058,13847050,13847054,19359113,21011526,21993067,15895068,11018826,7294624,4600304,4600305,7294631,11018844,15892101,15892100,21988631,29316988,25363000,18780217,18780219,25363004,21989310,21989309,29317856,37453708,37453709,37890206,37890207,256147802,23374543,23374542,24181396,31689996,36823831,28328232,28328234,27212253,21989976,15892948,11017611,11017612,15334039,15892768,15892769,15605438,10796350,10796349,15605434,21637324,19460479,13926820,13926819,19460478,25663112,19043380,19043378,21357886,15380317,10628480,10628479,15380313,21357879,28589021,29953801,23703166,23703165,28203187,28203186,31591775,29319194,29319193,37887683,43024515,33966794,26128314,19433484,13905241,255296427,21990513,29317859,21989311,21989313,29248244,25794746,21379687,15397529,268382963,58385278,258617560,39781453,39781454,39781458,255356646,23618203 Dl.O(d2) = 49800597,39781453,39781454,39781456,39781457,49800600,61279012,74058702,87662742,87662744,258508969,66954574,80384084,66954573,54695754,43951993,34677262,255731631,14232473,9783775,6432330,4035214,2418150,1399783,1399786,2418156,254467001,9781270,254966019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006655, s2 = 14041174, dlinesl.size( ) = 80 s1 = 12802612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15251642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10484237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10484237, s2 = 11403996, int(edited[s2]) = 0 s1 = 10484237, s2 = 11403996, d1 = 125, d2 = 139 Dl.O(d1) = 44810223,55716686,55716681,55716683,68113024,81601813,89926867,92568550,92568546,104056656,106887941,92568587,78521974,65232597,65232598,78521977,78521950,256239652,68113031,68113029,65232636,269205198,92568603,104056641,89926852,76120769,63115276,51418496,51418495,63115272,68113105,55716777,55716778,68113107,65232640,65232641,68113015,68113016,68113025,81601808,68113018,68113019,81601810,95634851,109838630,123978505,137660631,135944998,122016752,122016751,109838649,95634883,95634882,109838648,121155806,106887911,257333084,76120775,63115280,63115278,68113053,55716709,44810236,44810237,55716701,68113048,81601836,76120783,63115291,51418505,41221790,41221789,51418501,63115286,65232566,64686981,64686982,77876476,77876471,77876470,91798820,257933458,84730844,84730845,98660467,106887933,92568578,92568579,106887936,119706711,105467197,105467198,107641576,93238064,79121585,65765860,65765861,79121586,93238065,107641580,104056651,104056652,109838642,95634874,81601839,81601840,95634878,88561404,88561406,95634869,95634870,104056659,118216434,269653120,76120779,76120780,68088515,64686984,52772715,42373708,42373707,52772711,64686980,77876473,91798826,105993386,112656248,98660461,98660460,112656243,121155826,121155822,106887929,102553335,102553336,116652854,122016756,107641582,93238067,79121591,65765863,53709133,53709134,65765865,79121595,93238074,107641590,122016762,109815155,258348056,62118165,50618381,40575565,40575564,50618378,55690608,44783166,35359367,35359368,44783170,55690614,68088516,81578260,91798817,77876468,77876467,91798815,105993377,116667539,130506688,259809036,150658313,137660523,137660524,143816242,130491874,130491875,130506684,116667535,102568246,102568245,116667534,109838547,95634758,81601696,259182857,109838545,102568254,88561402,258392470,62118161,74922522,68088509,55690604,55690606,55690610,258552443,259807191,123952824,259182860,161293128,152434490,259182862,112468585,112468586,109838549,95634760,81601698,68112900,55716552,55716553,44810107,44810106,258554363,260420243,260420246,259182864,101897565,101897566,115943803,258554368,256766330,98650935,268556478,92426689,101761655,87788759,87788760,101761659,101761673,115807898,129706693,137660516,130506690,130506689,126334823,126334822,123978419,260420240,81601707,68112905,68112904,81601703,89926880,104056667,105448294,258554360,64157555,64157554,74320549,61544329,50066243,40046993,40046991,50066238,61544324,74320544,87923593,78521925,65232556,65232555,78521922,92568533,87788771,74184548,61404671,49925099,39905626,39905625,49925097,61404667,74184544,87788769,101761676,115807901,123978392,109838525,95634737,81601676,81601678,95634741,109838529,123978396,133764322,133764321,121810515,121810514,123978388,123978386,129706690,115807895,101761668,101761667,258348092,75565243,75565244,89323115,270154742,131347131,117847973,117847972,269653108,84843597,84843599,257933464,126615839,139970082,137660514,123978384,109838521,109838520,123978383,137660513,259182858,260420244,187133148,271880890,119780956,105547795,91330123,91330122,258554364,133650831,126615841,112760377,98770449,84843603,71269682,58538101,58538102,71269685,84843606,98770451,112760379,270676438,117545435,103415737,89322553,75564674,62625889,51003109 Dl.O(d2) = 259114213,66015645,66015646,270600311,107958501,122384576,260990966,119626681,133498488,261955529,170471963,272459262,149632279,136367450,259152016,107957798,122383859,136367448,122384560,259745839,79383984,79383985,93520890,107958495,122384567,122384573,122384575,260990964,119626662,133498459,146754677,159129009,170471942,159129041,261888666,150360932,261349810,262391770,262576280,146754710,261955531,149633012,261528499,271618383,107958492,122384564,261528501,159129036,146754704,146754705,159129037,170471948,159129017,159129012,146754679,133498461,119626663,259786272,91168063,272091748,133498490,119626685,105390209,105390210,119626686,261955533,146754714,133498500,119626689,105390213,91168076,77249606,64103019,52254338,52254337,64103016,77249602,91168068,260254709,261955527,133498466,119626668,119626669,133498470,146754688,159129022,162295235,170471944,159129014,146754681,133498463,133498462,133498474,260399260,91168070,77249603,77249604,91168065,91168066,105390195,105390200,105390199,260850611,146754692,149633007,149633006,161929452,170471950,260426584,137064721,150132920,150132924,150132918,150132917,260426586,119626673,119626670,260850609,146754689,148404722,148404721,137064728,123308013,259815848,150132922,259815846,123308012,123308011,123308004,109095196,109095197,123308006,271682124,173361223,183188231,180610440,170471956,159129029,261015894,119626676,119626677,133498480,146754699,159129034,170471959,180610442,180610436,170471954,159129028,159129027,170471952,173080462,182964181,262594404,177025198,166439615,154729728,154729729,166439616,160665351,148404718,135239491,135239492,148404720,262022029,135239483,121389760,260924485,135239485,261489653,262972363,161929450,261326384,130396354,130396355,143722216,272914115,262022031,135239490,260329773,92752278,78688859,65384163,65384164,78688861,92752280,107092635,121389750,121389751,135239482,148404712,160665349,166439612,261800090,142091745,129103911,115172593,115172592,116556324,130396358,135239498,260329775,92752290,78688867,78688869,92752292,107092646,121389744,114833567,100781469,86800579,86800580,100781471,114833569,107092629,107092628,121389754,121389763,107092638,92752284,78688864,78688865,92752285,260924487,148404724,262516643,263383091,190552856,198093435,195233075,187162827,177892498,167397966,155765690,143213730,260723611,270904985,74368020,61591542,50111532,40091012,40091013,31411225,31411224,40091014,31411221,23921475,23921476,31411223,23921478,17580228,254854319,254854321,8386151,5411579,3326573,267845111,8386155,12399727,17571631,255392104,17578228,13513384,13513385,13515687,9248370,9248371,11618474,7737451,7737450,7409867,7409868,11169120,16082885,12408337,12408335,12408119,12408118,17580124,13507761,13507762,18944406,15826385,10967536,7259513,4578332,4578331,7259509,8379052,12398615,12409271,15076443,15076444,17421200,17421202,23746494,17544542,17544543,23723498,17569185,16177688,16177685,16553283,12268774,12268773,15181492,10471685,6904419,6904418,255017415,21130232,255569804,259278479,112262269,126121115,139495600,152226552,164113592,174934822,184541782,263245300,206207720,211233701,264567398,215340283,218733424,219850578,216613157,212707284,212707283,216613155,265434285,226966688,228743913,266027427,232951543,234083575,235114262,274673764,236902464,236902465,237677214,238380501,239021451,239611330,240157003,266969529,241564623,241966596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10484237, s2 = 11403996, dlinesl.size( ) = 44 s1 = 11403995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11366943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366943, s2 = 11081332, int(edited[s2]) = 0 s1 = 11366943, s2 = 11081332, d1 = 7, d2 = 10 Dl.O(d1) = 260526482,76893748 Dl.O(d2) = 270153133,44748540,35322478,35322479,44748543,41660887,32750043,25058335,18520055,13158878,13158879,18520058,19444720,26141704,32779859,41696213,39767255,37065513,37065514,31227592,23743943,21386523,21386524,28624186,28359828,28359811,21144633,21144632,25403123,25403124,28624056,21386442,15402933,10646285,10646283,15402929,21386435,28624043,28624016,28624017,34279263,28624163,28624165,37136989,37162323,38838577,44731774,44731775,43379255,36436203,28359892,28359893,36857870,37116738,46289207,38839240,36645704,36603648,33607530,25809382,25809381,21386793,15403133,10646403,10646402,15403153,21386824,23953536,31445364,256024020,61628137,257634036,68053528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366943, s2 = 11081332, dlinesl.size( ) = 12 s1 = 11306297, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14006003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7811865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16319478, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14317872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14328698, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14317892, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12803580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15123260, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15123260, s2 = 13042645, int(edited[s2]) = 0 s1 = 15123260, s2 = 13042645, d1 = 95, d2 = 74 Dl.O(d1) = 261270927,155412580,262795803,263612285,262795804,167052342,177558633 Dl.O(d2) = 269982778 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15123260, s2 = 13042645, dlinesl.size( ) = 38 s1 = 14004783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11162043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11162043, s2 = 11137934, int(edited[s2]) = 0 s1 = 11162043, s2 = 11137934, d1 = 40, d2 = 34 Dl.O(d1) = 259007011,105078414,119271439 Dl.O(d2) = 255335119,254693185,4104096,2454874,2454873,4104094,6551196,9967383,9967382 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11162043, s2 = 11137934, dlinesl.size( ) = 24 s1 = 13596895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13596895, s2 = 13462724, int(edited[s2]) = 0 s1 = 13596895, s2 = 13462724, d1 = 29, d2 = 23 Dl.O(d1) = 87159119,101157114,259394874,75324878,62425160,62425161,75324884,77596034,91526990,98552184,84628266,71064819,58348566,46979273,37095876,37095875,46979268,58348542,59705291,58443042,47066668,37174032,37174030,47066660,58443029,71165349,67610073,55268822,44421484,44421482,55268815,67610061,67800960,67800961,67800955,67800953,81268685,73404135,60658627,49259081,39333762,39333763,49259086,46879212,37000738,28503248,256851227,58246301,70962818,269873594,98448390,258884790,129842662,115943029,101896966,87923124,74320154,61543955,61543954,74320143,87923111,101896942,115943000,129842606,143173715,262814445,143173706,272603995,167362650,155727996,261292751,115943015,101896955,87923121,74320154,61543955,61543954,74320142,87923107,101896931,115942998,129842602,143173708,155727932,164273101,175077465,165851272,165851269,166116048,273385984 Dl.O(d2) = 261797379,262307682,261251724,152246560,152246561,164133490,174954753,166597673,154897662,142263594,128911811,115009692,100955468,100955466,115009687,128911803,142263580,154897642,166597646,154897692,142263614,142263613,154897685,166597707,177170498,177330004,166775118,155078197,155078198,166775121,177330012,166775134,166775132,177330028,177610438,261797352,164133473,164133472,260077888,260077886,177610397,186893580,194982655,194772628,186653798,177330136,263212445,263950583,201747983,200815053,193720672,185446625,175964541,175964543,185446635,193720678,193720682,185446643,175964545,175964544,185446641,185446654,185446600,185446601,193720643,200815023,206801722,211748067,211748065,212389249,207566736,201719535,201719534,207566734,212389245,207566850,207566851,206801684,200814977,263533519,175964446,165263089,165263088,263139057,185446636,185446637,263635338,200815067,193720688,185446652,185446594,175964503,165263143,153463942,153463940,165263137,165263157,153463950,153463949,165263155,175964512,177329995,186653673,194772541,201719605,207566796,264796433,219132901,215790029,211748114,206801759,200815064,193720687,185446651,175964550,165263184,153463968,140783718,127427578,259978807,99544518,113556460,261156371,153463971,165263187,167109631,167109632,261847236,263139059,193720591,193720638,200815015,206801715,211748089,215790015,216646074,212743993,207972047,202184473,272887120,187250530,194663609,262307696,185446548,263600629,177330280,166775399,155078438,142434105,129060119,129060120,142434110,155078444,164133456,152246524,260955010,174954730,177170493,166597701,166597700,166775391,177330269,167109649,155474995,142897742,129582484,115696932,101653486,87682139,74074926,72107392,72107393,258741821,259984965,260135634,142897732,260732366,261847234,260585107,271797822,59374835,47984838,38072583,256928437,59374832,258741815,259366676,127527874,140883500,130048589,116139054,116139053,130048585,270357932,129059820,259461240,258836827,73444328,87061815,85055669,71484248,58755499,58755500,71484250,85055677,98980804,112970062,126824043,261673001,153558251,261162085,272206585,153558252,263143083,193774270,200861401,206842427,263893152,263143072,185509553,193774242,193760075,185494493,185494492,261710492,165329773,176022637,183535028,173766226,173766227,261251690,262307658,262705148,261710490,140883502,153558226,165348065,176039033,185509556,193774244,187255655,178010135,178010134,187255652,263982755,273715140,183055743,173204742,262067587,149891955,162104381,173204745,178010136,262781076,173204693,162104342,149891911,262067573,272448625,122918062,108652960,259761832,257286401,34607924,26619736,26619735,256722679,54620956,66878762,66878761,61713546,61713545,74494994,66878685,256722686,66878769,257286387,34607907,26619721,19810165,14189948,254681181,4023515,4023514,6413742,9754615,14189925,19810120,256199643,43878481,34607895,34607894,43878595,43878608,43878609,257884707,80308313,94364891,80308329,258275505,256536191,31528248,40214190,257666667,74495015,66878949,258504023,43878630,43878631,257884713,80308276,269173190,43878531,43878532,54620839,66878682,257286408,61713617,50234487,40214232,31528278,26619730,26619729,24025945,17675530,12499445,12499447,17675533,17675524,12499440,12499439,17675522,255727208,19810118,14189924,268042868,26619650,255727198,62420415,59032799,257639655,39883023,37708302,37708304,37708352,29148041,29148040,37708337,37708338,257480653,42747418,33718071,33718069,42747413,37708378,37708379,47630674,58180059,257827429,42747374,33718035,25911521,19249959,19249960,25911523,33718040,42747379,53196471,255654304,32029677,32029676,40786480,50903106,62503507,257788374,76972157,63860498,52040995,52040994,63860496,53268883,256682085,25973138,19306085,13804051,13804050,19306083,25973136,33783401,40786485,40786486,50903112,257198206,63860493,63860492,76972150,89169971,258403452,87013617,92596122,92596121,106914629,270558169,78548772,65258603,258439626,90850788,101007130,87013622,87013620,101007127,261248541,155028243,166727664,272976214,151773363,139071746,125732689,111914702,97976832,84102739,84102740,97976835,111914705,125732683,139071738,151773357,261949460,260844328,87013619,87013618,87013624,73398113,60651708,49251243,256619768,28690287,21439653,21439652,28690286,37215031,47111959,48435591,48435590,256140158,75934463,89713740,103819677,117967014,131795597,271550948,272895161,167121481,167121477,155487905,142910798,129595069,115708678,259490269,270896103,259266484,142910800,261066380,271757246,142910805,142910804,155487911,261066360,129595071,259885322,87691838,74084492,61303205,61303204,74084489,87691835,101663984,103819686,103819687,117967020,131795604,145055157,142910790,129595057,115708669,115708670,129595060,262327615,177620742,261618860,142910809,259885300,101664009,101664008,115708694,129595082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13596895, s2 = 13462724, dlinesl.size( ) = 12 s1 = 4185675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4185675, s2 = 7685391, int(edited[s2]) = 0 s1 = 4185675, s2 = 7685391, d1 = 32, d2 = 31 Dl.O(d1) = 157558514,169019375 Dl.O(d2) = 128602517,272532594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4185675, s2 = 7685391, dlinesl.size( ) = 38 s1 = 15327564, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15327564, s2 = 9345308, int(edited[s2]) = 0 s1 = 15327564, s2 = 9345308, d1 = 137, d2 = 115 Dl.O(d1) = 232747291,233892570,233892538,232747250,231480190,231480191,232747253,233892541,234936184,234936202,233892552,233892551,233892574,233892573,234936191,234936196,233892555,232747269,232747268,232747272,232747296,231480222,230065722,228471794,228471795,230065726,231480200,230065710,228471787,228471788,230065715,231480209,232747277,232747287,232747300,232747302,233892582,234936182,233892539,232747250,231480190,231480191,232747253,233892541,234936184,234936202,233892552,233892551,233892574,233892573,234936191,234936196,234936203,234936186,233892543,232747256,231480193,230065708,228471787,228471788,230065715,231480209,232747277,232747287,232747300,232747302,233892582,234936182,233892539,232747250,231480190,231480191,232747253,233892541,234936184,234936202,233892552,233892551,233892574,233892573,234936191,234936196,233892555,232747269,232747268,232747272,232747296,231480222,230065722,228471794,228471795,230065726,231480200,230065710,228471787,228471788,230065715,231480209,232747277,232747287,232747300,232747302,233892582,234936182,234936181,235886650,266433531,266237215,232747272,232747296,231480222,230065722,228471794,228471795,230065726,231480200,230065710,228471787,228471788,230065715,231480209,232747277,232747287,232747300,232747302,233892582,266338979,232747297,231480223,231480224,266005501,228471791,265874907,231480216,231480192,266126381,266237219,232747245,232747246,266005499,230065716,231480210,232747281,231480230,230065730,228471797 Dl.O(d2) = 11306651,255783085,36445278,42759899,33730017,255667672,19261282,13765641,9435163,6183795,3869777,2317766,1343946,1343950,1344217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15327564, s2 = 9345308, dlinesl.size( ) = 2 s1 = 15327564, s2 = 9345308, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 15327564, Dl.E( ) = 138, 5.1e-05 seconds used appending s1 = 14126695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14126695, s2 = 11456012, int(edited[s2]) = 0 s1 = 14126695, s2 = 11456012, d1 = 15, d2 = 1 Dl.O(d1) = 195506258,202361393 Dl.O(d2) = 201893988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14126695, s2 = 11456012, dlinesl.size( ) = 2 s1 = 14126695, s2 = 11456012, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14126695, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 8788118, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12804504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12804504, s2 = 930898, int(edited[s2]) = 0 s1 = 12804504, s2 = 930898, d1 = 24, d2 = 5 Dl.O(d1) = 224395478 Dl.O(d2) = 23689904,256508179,31120806,23634347,17318437,12193726,8224123,8224121,12193721,17318465,23634380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12804504, s2 = 930898, dlinesl.size( ) = 2 s1 = 12804504, s2 = 930898, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12804504, Dl.E( ) = 44, 1.19e-05 seconds used appending s1 = 14142160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142160, s2 = 7357270, int(edited[s2]) = 0 s1 = 14142160, s2 = 7357270, d1 = 27, d2 = 25 Dl.O(d1) = 64779208,77973843,91898578,106093633,120294147,134125311,147337847,159686166,171001159,181106127,189969580,197612544,204120725,209550971,214006009,217663049,220714859,223311664,225555923,223311665,265301949,214006010,214006009,217663049,220714859,223311664,225555923,225555924,227508047,265797751,274579113 Dl.O(d2) = 227508045,225555921,225555920,265797749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142160, s2 = 7357270, dlinesl.size( ) = 12 s1 = 6193502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11634921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14155475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14112355, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14284598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166640, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14166640, s2 = 14284597, int(edited[s2]) = 0 s1 = 14166640, s2 = 14284597, d1 = 8, d2 = 10 Dl.O(d1) = 255129882,5877199,3669471,3669475,2196511,2196509,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854 Dl.O(d2) = 5877798,9003831,13208327,18549438,255514216,41715287,52028382,63846669,76957888,257253490,88663772,258463958,116766517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14166640, s2 = 14284597, dlinesl.size( ) = 2 s1 = 14166640, s2 = 14284597, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14166640, Dl.E( ) = 12, 2.1e-05 seconds used appending s1 = 15290615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13601798, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9723731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9723731, s2 = 16226650, int(edited[s2]) = 0 s1 = 9723731, s2 = 16226650, d1 = 90, d2 = 76 Dl.O(d1) = 147245036,147245035 Dl.O(d2) = 39154217,256218834,60487476,73234337,258529410,126148125,112288249,112288248,112288247,98306011,84396903,268143754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9723731, s2 = 16226650, dlinesl.size( ) = 2 s1 = 9723731, s2 = 16226650, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 9723731, Dl.E( ) = 94, 2.31e-05 seconds used appending s1 = 14284736, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12805894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11285555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285555, s2 = 13342603, int(edited[s2]) = 0 s1 = 11285555, s2 = 13342603, d1 = 8, d2 = 11 Dl.O(d1) = 258887399,74355878,61579130 Dl.O(d2) = 17559959,12389156,8372245,5403326,3322072,254186223,626442,626444,1116297,1954006,3322082,3324805,3324804,5408240,7409841,5408201,5408200,8380276,12384156,10531068,10531069,15263174,17574557,17574556,17413208,12272160,12272165,12409726,9244821,6054844,3788888,3788889,4251818,5409739,8383068,7679859,7679858,11543502,12248104,11543875,8366801,8366803,12381726,12394023,12394026,9075112,8622061,8622056,12692008,12398026,12398029,12398021,11618935,11618936,11618377,7737386,7737385,11618366,12408376,8386292,8386291,12408387,16898671,12250583,12250580,12271194,12271191,17412251,23737113,31220908,37253189,28722302,28124453,20946810,17395592,17395593,23719454,17908493,256049041,36557364,36557363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285555, s2 = 13342603, dlinesl.size( ) = 10 s1 = 12709749, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11394921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11394921, s2 = 1066837, int(edited[s2]) = 0 s1 = 11394921, s2 = 1066837, d1 = 13, d2 = 30 Dl.O(d1) = 164669373,258204728,140138226 Dl.O(d2) = 265253905,224987844,265253903,265102814,263987431,195390468,195390473,264574949,265050149,222649035,219925400,216697640,274016597,178121253,178121254,187353940,195390471,263257707,167661845,262831761,263257713,156056097,262361383,167661844,262831763,156056099,143519670,272908843,261992064,102256766,88258528,74628236,61835982,50351787,50351786,61835980,74628232,88258524,259063542,72253780,257226194,257520385,256543699,24128567,17765384,12571570,8525772,8525773,255584973,31635582,40324885,257674673,74628243,88258545,102256758,88258518,74628227,61835976,50351783,40324880,31635576,24128564,24128565,256543697,50351776,61835965,74628221,72007403,72007404,258283719,61835974,61835967,50351777,50351778,61835970,74628224,88258516,84280850,257501644,61835962,61835963,258906377,102256755,260578698,259360288,109744094,95534778,269369294,257928601,81499598,270316296,257501646,257501648,55629621,44731631,35312256,27192553,20268223,20268224,27192554,35312258,44731635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11394921, s2 = 1066837, dlinesl.size( ) = 26 s1 = 16340698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11289947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11289947, s2 = 11020458, int(edited[s2]) = 0 s1 = 11289947, s2 = 11020458, d1 = 16, d2 = 10 Dl.O(d1) = 104804924,104804923,260030680,132823700,132823699,118994934,104804930,90634467,76768555,63675049,51877064,51877063,63675046,258995001,104804916,118994913,132823687,118994921,104804920,90634462,90634463,104804922,117562309,258788976,117562302,117562301,256432416,78536580,78536581,92392416,106696531,106696532,106696538 Dl.O(d2) = 119666534,105428508,257556510,64137189,64137188,77286146,91206280,105428505,114321727,100291146,86328827,270856021,269354065,48601877,258164665,72731101,59993728,59993729,257555752,268412458,48601855 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11289947, s2 = 11020458, dlinesl.size( ) = 6 s1 = 10996495, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14318291, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382571, s2 = 11119826, int(edited[s2]) = 0 s1 = 11382571, s2 = 11119826, d1 = 61, d2 = 87 Dl.O(d1) = 166425029,264534264,128715365 Dl.O(d2) = 128715355,128715358,114815196,100762996,86782270,73169662,60422937,49019104,256460227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382571, s2 = 11119826, dlinesl.size( ) = 36 s1 = 11207845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11034755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11034755, s2 = 10178358, int(edited[s2]) = 0 s1 = 11034755, s2 = 10178358, d1 = 9, d2 = 13 Dl.O(d1) = 254109656,4482071,2693048,1560187 Dl.O(d2) = 3689358,5904645,9037122,254428546,12872471,269030374,30563663,255964378,11815403,7893451,254812765,254618659,5608920,8626258,12697326,12697340,8626267,8626269,12697345,12697425,12697423,17920956,21920458,21920457,16392484,11408873,7581127,7581129,11408880,16392499,12697519,12697520,10973844,7263538,7263539,10973850,12697404,12697405,17920935,24304588,24304616,24304614,31820983,40517670,31821321,24304862,24304861,31821317,40517473,31820794,31820795,31820992,40517681,40465378,31770561,24304537,24304538,24304528,17920881,17920883,17920818,17920816,24304435,24304628,21920529,15835884,15835886,21920534,19485404,19485405,26194758,29938156,29938144,22575308,22575309,16392492,16392489,17920848,17921112,16027936,16027934,21920353,29238843,29238852,31821328,31821327,38428960,38428963,40517658,40517660,40517666,50553700,50553701,40518114,40518113,48224990,38315227,38315226,40517678,32111754,24534898,24534899,32111760,40884992,40517487,31820804,31820800,40517481,31821568,24305028,24305027,31821566,40518437,50554806,40756119,32001056,32001038,32001039,40756100,40756112,50871070,42762476,33732578,25925656,25925655,33732571,42762471,50553727,40517499,40517498,268457395,18026179,18026178,24442119,32000997,40756050,50871032,49855294,46918939,46918940,58284795,62469273,50871099,50871098,49788578,40517453,40517451,49788569,39768687,31089996,31089997,39768694,39768711,39768709,49788587,40518427,31821559,31821560,40518431,32001013,32001014,32001062,24442160,18026197,18026196,24442155,32001053,33450429,25679143,25679145,33450433,40884911,33450366,33450365,32001069,24442166,24442164,24442188,32001094,40756032,32000990,32000991,32111249,32111248,39768719,39832115,39832100,39832101,39832107,49855288,40756163,33450378,25679100,25679101,33450386,39768702,31090002,23605520,17292507,17292508,23605526,31090008,39768713,40884739,32111469,32111470,40756059,32001002,24442125,24442126,32001008,32001049,24442198,24442196,19056832,13604484,13604485,19056840,25679153,25679091,19056787,19056789,18026206,12776498,12776499,18026210,268457397,32111637,32111254,24534306,24534308,31150049,31150051,23663180,23663179,31150060,36969283,28470746,25679105,19056801,19056802,25679107,32659497,31090030,23605541,17292511,17292512,23605546,31090038,28542080,28542082,24534633,24534632,32111473,32111457,24534599,24534598,24534625,19056823,13604479,9315734,6102464,6102465,9315738,13604491,19056856,25679177,25679084,25679085,24442172,24442171,32001077,32001099,32001100,32111623,24534798,24534315,18101340,18101341,24533780,24533779,32110749,32111491,24534655,24534653,21250023,21250025,24534604,24534606,24534611,23605534,23605535,31090013,23605528,23605527,31090011,39768715,32111482,24534642,18101625,18101626,24304721,24304720,24534580,18101621,12834596,12834595,18101617,13604469,13604464,13604465,19056795,19056850,25679166,25679158,19056844,19056845,25679161,24534623,24534481,24534482,24534788,24534784,18101805,12834726,12834725,18101803,24534794,32111632,32111493,24534657,18101633,12834601,12834600,12834606,12834589,12834590,18101610,24534617,24534716,24534717,24534550,18101552,18101551,24534546,32111417,24534651,18101630,18101595,12834574,12834573,18101590,24534583,24534621,24534458,24534460,24534468,24534467,24534536,18101545,12834543,12834544,18101547,24534539,18101584,18101278,18101280,24534249,24534470,32111291,24534372,18101394,18101393,12834654,8727168,5681250,5681251,8727173,12834659,12834719,12834718,18101794,18101768,12834700,12834702,18101773,18101565,18101564,18101496,12834502,8727060,5681184,3533886,2103316,2103308,2103307,1211101,1211102,2103345,3533937,5681290,8727141,5681235,3533914,2103329,2103332,3533922,5681245,8727154,12834531,18101064,12834367,8726989,8726990,12834370,18101285,24534256,24534358,24534347,18101372,18101374,18101528,12834522,8727160,8727161,12834643,18101690,24534714,18101951,12834821,8727279,8727201,5681261,5681262,8727205,12834705,12834541,12834537,18101534,18101330,12834393,8727000,5681154,3533873,2103303,1211080,683034,683035,1211085,2103311,3533882,5681174,8727032,12834456,18101430,24533901,18101668,12834627,12834626,18101502,18101051,18101050,12834682,8727191,5681256,5681255,8727186,12834677,18101735,18101264,18101265,18101370,24534344,24534510,24533848,18100995,18100994,24533843,24533933,32110901,24534957,24534763,18101754,12834687,12834688,18101758,24534239,24533936,18101058,12834245,8726924,5681113,3533844,2103288,1211073,1211071,2103285,254287743,2103282,3533828,5681088,8726883,9989735,9989734,14517927,20231719,24533904,24533905,18101823,18101822,24534810,32111650,32111178,24534216,18101248,18101246,24534209,32111170,24534223,18101256,18101255,15145216,15145215,12834468,11448682,11448681,8726896,8726898,6885872,6885873,10445441,15145249,21084763,28291368,32110777,40884309,40884331,40884329,32111088,24534134,24533825,18100982,12834193,8726888,8726874,5681085,5681086,8726879,12834177,9989743,6565619,6565618,9989740,14517929,20231722,21084791,21084742,15145236,15145235,21084737,28291331,36787819,36787871,28291390,21084777,21084778,24534450,18101463,12834481,8727046,5681178,5681177,8727038,6885883,4322539,2585700,2585699,4322536,6885876,10445444,15145265,21084787,28291413,36787895,40884614,35234028,28291277,21084692,15145212,15145211,18100962,18100937,12834167,12834168,12834171,12834173,18100951,24533795,32110764,32110765,40884295,40884601,36787797,28291318,24965909,18447098,18447099,24965911,32635699,41521739,256609128,51021536,44615681,36787881,28291403,28291402,28317288,28317287,36787915,46673938,36787838,36787837,46673936,47890099,37971857,36813504,28317291,28317293,28291423,21084797,21084799,28291431,36787913,42207980,46673908,36787807,36787806,42207715,52568344,58068725,46696480,36813496,28317277,21107000,21107001,24965808,24965831,18447029,13104105,8930835,8930836,13104108,18447036,24965836,19056812,19056814,25679125,33450412,42443531,52568533,46696597,36813642,28317418,21107101,21107100,28317414,25495688,25495687,33246308,28317315,21107019,15161637,10455958,10455957,15161634,21107015,28317304,28317457,36787906,33246236,25495627,18890672,18890670,25495620,33246008,33246007,42207718,52568350,58068733,46696467,36813486,36813487,46696472,41521652,32635610,24965817,18447022,18447023,24965823,32635615,41521655,33450397,25679117,25679118,33450402,42443524,46696575,46696574,46696578,46696587,36813637,36813576,28317354,21107041,15161645,10455965,10455963,13462077,18890692,21107080,21107082,28317259,28317299,21107132,21107133,28317465,36813694,46696639,42207974,256131568,52568355,52568354,64443566,58068743,46696486,46696485,58068714,58068715,52568415,42207816,33246114,33246113,32635601,32635602,33522151,33246253,33246251,25679114,19056809,19056808,21107102,28317422,28317402,28317400,36813620,36813552,28317336,21107030,21107029,21107067,15161658,10455971,6892211,4326572,4326573,6892213,10455975,15161666,21107088,21107140,15161692,15161691,18100966,24533802,32110783,40884317,51021542,62647583,58068820,58068821,256131548,36813711,36813710,29753053,29753052,38322615,43312115,53836547,58068768,46696551,42207821,42207820,46696499,36813545,36813546,46696512,46696606,36813650,28317429,21107104,15161696,15161697,21107152,28317493,36813628,36813664,31859244,31859245,36813469,36813468,28317368,21107054,21107055,28317372,28317496,21107158,21107157,28317323,36813531,36813676,36813675,36813683,36813684,46696633,52568446,42207866,33246141,25495551,21107147,21107149,28317488,36813719,31348017,31348019,35234035,44615687,40504199,40504201,40504250,31808817,24293789,24293788,24293804,17911676,17911675,17911679,17911680,24293809,31808840,40504270,47624218,47624219,50047733,61527129,62030987,58048954,46696667,36813731,28317500,28317499,31348021,40027904,50047711,40504255,40504254,50539458,40517696,40517694,46673863,50539357,40504170,40504171,31821010,24304639,17920977,17920978,24304641,31821013,40517705,50047700,40027895,40027893,31808788,24293772,24293771,31808785,31808820,24293794,17911671,12689844,8620416,8620417,12689847,17911685,24293814,31808850,40504275,47624224,47624222,47624209,47624201,47624200,59027058,61527120,50047720,40027907,31348025,23854417,23854416,29140388,37701195,47624166,50539420,50539421,50047671,40027873,31348010,23854412,17511569,17511568,23854411,31348003,40027871,36788051,28291521,21084868,15145316,10445468,6885887,4322541,4322542,6885891,10445472,15145321,21084872,28291527,36788067,36788126,28291573,21084906,21084905,28291567,36788115,36788032,36788031,46674093,58048848,70767346,70767375,269304725,36788088,36788087,36787958,36787957,36787965,36787966,31347988,31347987,36787974,36787973,28291576,28291577,36788134,46451738,36585952,36585951,46451736,50047665,46674170,46674101,36788034,28291514,21084862,15145311,10445485,6885897,6885896,10445484,15145348,21084925,28291592,28291593,28291581,28291579,36788139,31090134,23605616,17292560,17292561,23605620,31090145,39768855,46674207,36788171,28291603,28291601,36788168,46674031,36787960,28291468,21084829,15145297,10445459,10445461,15145301,21084837,28291477,36787979,46674039,58048803,70767305,70508711,70508710,64564735,52663890,46674127,36788060,36788059,36788028,28291508,21084859,15145340,10445480,255015779 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11034755, s2 = 10178358, dlinesl.size( ) = 14 s1 = 14326051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14318346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11230199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11230199, s2 = 9720021, int(edited[s2]) = 0 s1 = 11230199, s2 = 9720021, d1 = 14, d2 = 35 Dl.O(d1) = 260278441 Dl.O(d2) = 173628235,183419977,191979675,199342751,205572394,264342090,214933880,218396431,221305661,265464878,219950621,265006080,264522492,263571564,178187961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11230199, s2 = 9720021, dlinesl.size( ) = 20 s1 = 14284882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14277324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14277324, s2 = 14284881, int(edited[s2]) = 0 s1 = 14277324, s2 = 14284881, d1 = 0, d2 = 0 Dl.O(d1) = 2127423,1354327,1354328,2336685,3901580,3982764,2386987,1381849,1381848,2386983,3982758,6347748,9653626,14040170,19595254,26041365,19362850,13849877,13849876,13850127,9501297,6231943,254669069,13850130,19362875,13849900,9501115,6231792,3901622,254209647,1354341,2336713,3901620,6231787,9501111,13849819,13849818,19362805,19363058,13850070,9501257,6231920,267937897,10479278,10479276,268156173,9501194,13849964,19362930,26041337,26041336,26041609,257245079,33863702,268311181,9501356,6231992,3901765,3901764,6231990,9501352,13849948,9501170,9501169,13849946,19362913,26041395,33863139 Dl.O(d2) = 2127423,1354327,1354328,2336685,3901580,3982764,2386987,1381849,1381848,2386983,3982758,6347748,9653626,14040170,19595254,26041365,19362850,13849877,13849876,13850127,9501297,6231943,254669069,13850130,19362875,13849900,9501115,6231792,3901622,254209647,1354341,2336713,3901620,6231787,9501111,13849819,13849818,19362805,19363058,13850070,9501257,6231920,267937897,10479278,10479276,268156173,9501194,13849964,19362930,26041337,26041336,26041609,257245079,33863702,268311181,9501356,6231992,3901765,3901764,6231990,9501352,13849948,9501170,9501169,13849946,19362913,26041395,33863139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14277324, s2 = 14284881, dlinesl.size( ) = 2 s1 = 14277324, s2 = 14284881, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14277324, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10998223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998223, s2 = 7945539, int(edited[s2]) = 0 s1 = 10998223, s2 = 7945539, d1 = 28, d2 = 60 Dl.O(d1) = 254850837,257069561,38401972,29829822,22462493,16294425,11336964,7533709,7533710,11336967,16294432,19145792,255686603 Dl.O(d2) = 7924351,5037487,3049855,2439857,2439856,4077799,5037448,3049833,3049832,3176906,1859712,1859713,3176912,5207204,8127856,8056723,5147891,3132543,3132542,2980969,2980968,4939990,7791307,11684032,7924165,5037383,3049803,1776706,1776707,3049805,5037392,254815887,16941432,23213065,24130110,31637227,31637155,24130040,17766673,12572667,8526803,5525418,3411899,2013590,1151677,646079,646080,1151679,2013594,3411904,5525431,8526823,12572695,17766717,24130095,30891358,30891359,268939262,29330730,22000215,15900533,11023010,7298011,4603152,4603151,7298007,8475443,5478531,4730529,2850156,1653709,940727,940728,1653712,2850162,4730538,7485619,11276659,16221486,22377605,16221468,11276642,7485608,7485609,8475416,12510721,12510047,8474912,8474913,12510049,17688319,12510052,8474917,267846481,1983690,1983689,254409333,8474910,8475441,5478530,3371279,3371278,5478529,8475439,12510757,17687213,12509146,8474242,5477789,5477790,8474244,12509148,17687215,16194420,11257325,7473195,7473194,8477145,8477144,12513150,17692004,17687112,16228699,254777177,4732896,4732898,7489085,11281777,12512132,17690700,254871525,8553369,12603639,256340518,15003019,20908040,255648585,13288798,13288797,14971094,10303296,6775288,4246839,2539072,1462994,1462993,1463013,2539114,4246923,4270275,2553119,2553117,4270271,4485071,2694745,2694746,4485074,7123387,9067874,5929316,3707417,2220260,2220261,3707419,4289245,2564478,2564477,4289242,6836014,10374629,268062867,9057436,5921687,254640671,7274583,7274584,9079101,10303024,9084747,5942208,3715682,3715681,5942201,9084737,8597901,5586739,5586740,8597907,12662244,17878681,258889126,23838243,31329710,40007868,50026447,47883487,37964857,255297616,37217282,28692307,28692308,37217284,32073726,32073725,33368673,25604040,25604041,20154714,14458481,14458482,254308544,254671532,48714678,40146171,268173868,16035414,11134021,11134020,16035412,21826654,20051150,14365821,14365823,14366203,10912596,8356493,8356496,12366805,11096337,7417525,7417529,4687438,4687441,7417578,11179598,254161074,254338702,23479514,28623086,23405658,23405660,18240526,18240525,24712629,30916914,30916912,37636337,37630608,37630609,255326448,28969555,21687709,21687708,28969552,37512825,47420440,39817266,31134731,23647055,17330216,12205209,9940086,9940085,14448551,14936835,10272836,10272837,14936838,20835604,15648657,10831313,7159930,7159929,10831308,12908810,18199473,21484642,21484641,269528216,255360535,10290757,10301653,9068563,5929826,5929825,9068557,6768542,5934016,3710371,2559942,1474358,833746,470046,264224,264225,470048,833758,1474384,2560000,4281763,6825152,4299601,4299600,3713297,3713295,3713304,5938585,9080198,255249041,25263076,268738285 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998223, s2 = 7945539, dlinesl.size( ) = 52 s1 = 11250373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250373, s2 = 4543203, int(edited[s2]) = 0 s1 = 11250373, s2 = 4543203, d1 = 12, d2 = 23 Dl.O(d1) = 86544772 Dl.O(d2) = 59655440,257593298,99942658,99942656,85984632,257012614,48268820,38358442,29786855,29786856,38358444,258140225,85984634,99942658,259448698,141204888,138878841,260844928,111739731,125546026,138878843,151581509,163464375,174311701,183973494,192438713,189881816,181004231,170885080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250373, s2 = 4543203, dlinesl.size( ) = 8 s1 = 11134521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11537199, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11538947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11538947, s2 = 11353300, int(edited[s2]) = 0 s1 = 11538947, s2 = 11353300, d1 = 29, d2 = 31 Dl.O(d1) = 265069224,218832124,265364514 Dl.O(d2) = 263854650,175180738,262653038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11538947, s2 = 11353300, dlinesl.size( ) = 32 s1 = 11433203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11433203, s2 = 11358384, int(edited[s2]) = 0 s1 = 11433203, s2 = 11358384, d1 = 18, d2 = 17 Dl.O(d1) = 263546600 Dl.O(d2) = 261174449 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11433203, s2 = 11358384, dlinesl.size( ) = 20 s1 = 13636004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11084545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11084545, s2 = 11394410, int(edited[s2]) = 0 s1 = 11084545, s2 = 11394410, d1 = 8, d2 = 1 Dl.O(d1) = 257498213,270315311,259975203 Dl.O(d2) = 127385552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11084545, s2 = 11394410, dlinesl.size( ) = 14 s1 = 11023279, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11023279, s2 = 6948333, int(edited[s2]) = 0 s1 = 11023279, s2 = 6948333, d1 = 70, d2 = 75 Dl.O(d1) = 256016229,40014783 Dl.O(d2) = 273326674,200438977,193282400,184944090,262157588,152795222,260506808,257424498,21565910,21565909,28837500,28869867,255903173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11023279, s2 = 6948333, dlinesl.size( ) = 54 s1 = 11453321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11453321, s2 = 14137528, int(edited[s2]) = 0 s1 = 11453321, s2 = 14137528, d1 = 7, d2 = 50 Dl.O(d1) = 201106475,273355134 Dl.O(d2) = 265266774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11453321, s2 = 14137528, dlinesl.size( ) = 52 s1 = 11356581, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356581, s2 = 13355018, int(edited[s2]) = 0 s1 = 11356581, s2 = 13355018, d1 = 32, d2 = 37 Dl.O(d1) = 257904024,22156227,16035396,11134008,7385144,7385145,11134012,254470584,9884146,9884145,14355904,14355905,9864207,9864209,14355915,20040520,17196575,12092280,8131956,5209971,5209969,8131920,12092213,17196477,22091920,22091921,29422582,26938739,20052702,20052700,26938733,29424082,22093354,22093352,25371407,25371409,30724307,30724304,26938348,22155169,22155166,21076860,21076862,15757319,254973662,16482990,16034429,254766239,4665481,2810795,2810797,4665486,7384851,6982364,6982361,10584577,15324857,21290325,28510354,27023269,27023268,22805259,22805258,29084478,26954083,20069739,14386018,14386021,14973201,20875269,28043317,36506876,37627227,36760703,36760704,46646559,44389306,35012252,26930640,20044932,14359764,9867152,255739345,256739251,41296322,257151831,259153909 Dl.O(d2) = 137284116,150325912,261139044,175911039,185400622,265159113,264744180,264449730,260486308,267817111,1401176,1401178,2420655,4039864,2705291,1567722,1567726,2705337,2189958,2189955,3660234,5862684,8979686,13172916,16465060,11472008,11472009,16465062,22658864,30033847,38608061,30033850,22658866,19464940,13930203,9561413,6273942,6273941,6572620,4117172,4117171,254322700,10333046,10019868,6585673,4126134,2468316,2468315,4126129,6585663,9584170,9584172,11340585,11340584,7998920,5092041,5092040,7998914,11949431,17034978,18687874,13294537,9076572,5935894,5935896,9076580,11516773,7660971,4847031,4847035,7660983,11516799,12496973,12496976,17672393,24021897,22722206,16517125,14606701,10289403,10289399,13285436,9068669,9068671,13285459,10263055,6745194,6745195,6744442,6744447,10044630,6600871,6600867,10044557,10044555,14596469,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920598,2920594,4846830,7660571,11516139,16524055,14603289,14603290,14597662,10044497,10044496,14597658,14596491,14596492,15006284,15006282,20911447,28084545,21621875,21621874,23485156,30922885,28898598,27997660,20833393,14934847,267821698,10336292,14959276,14959275,267762932,17950563,16134437,11208042,10051557,6604925,6604928,10051564,14607711,14611923,10054393,6606491,6606492,10051539,6604915,4137448,2474786,2474784,4137445,6604909,10051529,14607665,20351068,27286123,35411096,257602725,39318184,30719884,23302577,17042317,17042316,23302574,30719880,39318182,39318631,30720287,255528981,11955902,11955903,17042569,23302933,23302716,23302715,23302720,23302721,30719925,30719928,30720052,23302711,23302710,30720050,256072022,31910685,30719951,30719950,30720249,30720250,255343578,20081115,14397904,9903410,6509212,6509213,9903414,14397908,20081123,22333054,16186188,11251131,7468599,7468600,11251136,16186193,20020049,14338789,14338788,20020046,26902721,34982594,44360225,39318303,30720005,25556088,25556089,27258340,20324319,20324320,23302693,17042408,11955797,8003616,8003615,11955796,17042406,20324070,27258009,33270236,33270235,26902733,20020055,20020054,26902732,29685035,29685036,29685000,29684999,38250059,44360235,38592298,30019710,30019711,35046467,44421006,42867115,33826021,268088938,21563309,15541749,15541750,17038265,17038266,23298176,17038328,11952256,11952257,17038333,23298289,30715321,39313386,49240070,42867152,33826061,33826062,39313161,30715129,23298166,17038259,11952218,11952219,17038262,23298173,30715133,23298313,255142661,8000995,5093516,3091335,3091334,5093512,8000987,11952247,17038310,13826272,9482445,6217800,6217799,9482442,13826264,19334625,26008428,33826084,42867176,36632321,36632322,46499206,257018554,57855212,49240090,256538108,25672978,20978598,20978599,26008292,19334535,19334537,26008280,33825837,26008240,26008239,28157934,20978592,15066969,10390640,6848242,4297140,2569087,267822287,6848248,10390648,15066989,20978627,28157900,28157899,36632245,28157858,20978546,15066941,15066944,20978550,28157862,28157840,28157839,255563646,36632264,42867061,36632372,28157957,20978615,20978616,19334519,13826207,9482416,6217787,6217786,9482412,13826204,13826217,13826218,19334542,26008302,33825918,42867029,33825937,33825936,30715335,30715334,33825882,255698601,13826210,13826209,19334523,16803391,16803390,23048927,28157889,36632247,36632269,33825921,33825922,39045777,40625241,46499135,36900306,36900305,42288027,256457692,50682612,257001830,26008328,19334560,19334559,26008326,33825957,42867063,254808714,37303182,47209796,40624906,40624905,50682239,40625302,31911209,24379758,24379759,28157878,268695617,31910618,31910617,31910799,24379347,24379346,31910797,31911198,24379745,17981128,17981129,18124541,18124542,24379305,17980712,17980713,24379307,24379312,31910754,31910646,31910642,31910720,31910719,24563985,256068501,24379667,17981033,12743306,8660049,8660051,12743308,12743118,8659951,8659952,12743120,8660088,5633443,3500929,3500930,5633340,3500880,2080866,1196430,1196429,2080871,254424605,3500968,2080904,2080905,3500970,254621003,5633515,3500972,3500971,5633513,8660203,12743518,17981262,12851847,12851846,255209809,12743299,8660168,5633496,5633497,8660173,12743479,17981168,12743426,8660132,5633476,5633477,8660133,12743427,17980850,12743165,12743166,17980853,24379456,17981287,17980841,12743158,8659971,8659970,12743153,14215563,9772772,9772770,11822481,11822518,7900832,7900833,11822521,16894462,16894429,11822497,7900820,5022234,5022233,7900815,11822488,16894416,23155712,17980952,17980951,24379593,24379471,17980871,17980872,17981097,17980790,12743212,12743213,17980926,17980946,12743230,8660004,5633398,5633397,8660000,12743222,17980937,17980821,12743142,8659963,8659962,12743140,17980818,23155750,23155751,24379410,24379409,24379439,268231226,11822476,11822477,16894405,23155692,26656533,30573315,30573287,23155723,23155724,24379520,23155701,16894411,16894412,23155705,30573265,24379568,17980930,12743217,12743218,268266977,17980874,17980876,24379480,31910914,31910920,24379507,24379506,31910940,40624975,40624974,50682191,40625073,31910966,31910965,26656514,26656513,30573281,39171276,49101605,39171257,39171256,44636307,39055670,39055672,48977859,40625062,40625063,39055678,30465613,23057072,23057073,30465615,39055683,48977868,41317783,41317782,256039884,60374490,62200580,62200581,256308092,256943830,73977350,257523842,257523844,62200566,75021542,86720144,257324420,64799194,52879945,42476115,33482596,33482597,33610954,42636714,50682388,40625095,31910981,31910980,40625092,50682381,62200533,64799245,62200525,50682375,257696815,62200527,75021522,72381603,59646686,59646651,50682637,40625400,40625401,42035011,33087517,33087515,42035006,52378547,256943828,64799191,52879936,42476109,33482592,33482591,42476107,42476295,42476293,52880127,64799369,77993518,64799696,52880477,42476641,33483055,33483056,33482632,33482630,33475409,33475410,42468933,48177364,48177365,41360163,41360164,51581528,59298665,48259449,48259448,59305181,72040840,59646670,48259453,48259454,256882598,71326714,59298660,59298659,47910704,37994604,29432231,22100275,22100274,29432229,33295305,33295304,28760573,21500985,21500984,28760571,37294362,37994618,37994621,43013226,40161719,40161720,33295453,26138534,26138533,33977440,33295292,25533781,18922783,13490121,13490120,18922778,23619755,17305462,254837905,254837903,17305457,23619748,31104681,39783567,33295550,33295496,33295497,42276691,48259457,48259458,43865165,255539470,19799632,19799631,23619761,31104699,39783559,39783558,42276766,257206338,39783625,43034344,33977446,26138537,26138536,33977443,43034340,39783550,39783549,257206349,42276676,33295480,25533946,18922872,18922874,25533949,268749145,33295494,256650373,18922863,18922862,18922824,18922823,25533858,33295386,256469334,25534039,33295589,42276754,49802768,49802769,48750305,38830296,30246898,30246899,38830298,34589833,256721385,30246918,22852556,22852554,30246915,30748517,23326980,23326981,30748519,38086295,29521837,22234710,16099891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356581, s2 = 13355018, dlinesl.size( ) = 32 s1 = 13999833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12807212, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11455163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11455163, s2 = 11514712, int(edited[s2]) = 0 s1 = 11455163, s2 = 11514712, d1 = 17, d2 = 8 Dl.O(d1) = 264539305,216280164,219560011,222330427 Dl.O(d2) = 222126846,219330841,216021390 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11455163, s2 = 11514712, dlinesl.size( ) = 14 s1 = 11503705, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503705, s2 = 13790170, int(edited[s2]) = 0 s1 = 11503705, s2 = 13790170, d1 = 51, d2 = 66 Dl.O(d1) = 219104673,221929770,224355124 Dl.O(d2) = 232614545,266224747,266224744,274512982,274351881,224355159,221929803,219104689,215758661,264243102,200771213,200771215,206763125,264749387,219104695,265556265,228294489,265990607,266423081,233772655,274560948,229904274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503705, s2 = 13790170, dlinesl.size( ) = 38 s1 = 11295001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295001, s2 = 12896737, int(edited[s2]) = 0 s1 = 11295001, s2 = 12896737, d1 = 40, d2 = 70 Dl.O(d1) = 263402781 Dl.O(d2) = 274147594,262687883,153246993,140565504,127219837,113361472,113361471,262207439,140565510,140565513,140565512,140565507,127219836,113361472,113361471,262207439,140565510,140565513,127219843,127219842,140565499,127219841,127219840,140565510,140565513,140565512,140565507,140565505,127219835,113361468,99359729,258719625,59088646,71828891,85416766,99359732,113361476,113361463,113361465,127219830,127219839,113361475,113361476,113361463,113361465,127219831,140565502,140565507,140565505,127219835,113361468,99359729,99359727,113361465,127219831,140565502,140565507,140565505,127219835,113361468,99359729,258719625,59088646,258719627,99359734,113361473,113361474,127219832,127219837,113361472,113361471,262207439,140565510,140565509,140565508,153246989,262687881,140565501,140565502,140565507,140565505,127219835,113361468,99359729,258719625,259676108,7254873,4575416,2752744,1595769,254122241,511571,511623,907274,1595952,2753025,4575779,7255286,10960888,7300885,4605312,4605311,7300858,7300860,7305506,9112949,8194676,8194673,7491851,4735367,2853635,1656000,942251,531448,298035,165038,90827,50034,50032,90817,165011,297974,531336,942027,1655629,1090873,1090870,1910331,3252888,5268673,3223409,1889430,1078153,605543,605541,1078139,1889403,268108570,1091423,1091422,254266025,1905314,1091073,612582,612583,342505,187865,102574,102575,187866,342508,616116,1097603,1921372,1921334,1097580,254183633,1910007,1090648,612359,612360,1090650,1910010,254395891,4627404,5263244,5263243,3269986,1922810,1098480,1098481,1922813,3269988,5321157,5297499,3248342,3248345,5234884,3195218,3195216,5234878,3222588,3222587,4613749,3229176,1893610,1893611,3229179,4957937,2993323,2993321,3215090,1883521,1094766,614580,614579,341666,341668,334507,184004,184007,334520,600495,1068509,1873203,1073078,602905,602904,1073073,1880999,267841345,4961470,4717819,2842202,2842201,4717816,6021880,7323858,4624839,4624838,2996135,1739980,1739979,2996132,4604915,5288967,5288966,7327707,4628588,4628586,5270989,3225482,3218280,3216955,1884767,1884768,3216956,5261502,3216765,1884622,1075221,1074303,603562,336063,184744,184746,336073,603587,603606,603604,1074386,1883177,254392081,3204820,1876664,1070598,1070596,1876659,3204807,5246661,8177184,12147588,17268327,23580141,31063753,31470921,23974891,23974892,23974883,257079217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295001, s2 = 12896737, dlinesl.size( ) = 42 s1 = 11468981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468981, s2 = 7776999, int(edited[s2]) = 0 s1 = 11468981, s2 = 7776999, d1 = 22, d2 = 17 Dl.O(d1) = 264776697 Dl.O(d2) = 236753094,274790818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468981, s2 = 7776999, dlinesl.size( ) = 24 s1 = 11590151, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11535101, s2 = 11278394, int(edited[s2]) = 0 s1 = 11535101, s2 = 11278394, d1 = 77, d2 = 55 Dl.O(d1) = 274529592,231827008 Dl.O(d2) = 259671841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11535101, s2 = 11278394, dlinesl.size( ) = 90 s1 = 11615391, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615391, s2 = 5992924, int(edited[s2]) = 0 s1 = 11615391, s2 = 5992924, d1 = 15, d2 = 3 Dl.O(d1) = 242906892,274940899 Dl.O(d2) = 239253777 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615391, s2 = 5992924, dlinesl.size( ) = 2 s1 = 11615391, s2 = 5992924, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11615391, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11536291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536291, s2 = 7527239, int(edited[s2]) = 0 s1 = 11536291, s2 = 7527239, d1 = 32, d2 = 69 Dl.O(d1) = 265932583,232042078 Dl.O(d2) = 245697320,267488887,267501228,267508629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536291, s2 = 7527239, dlinesl.size( ) = 14 s1 = 11619897, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11635303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11536333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981647, s2 = 10367843, int(edited[s2]) = 0 s1 = 10981647, s2 = 10367843, d1 = 0, d2 = 66 Dl.O(d1) = 1551449,2678412 Dl.O(d2) = 86273943,100238943,260627289,141514299,154178076,165937611,176584278,186006447,194220826,201257241,207180105,207180108,207180107,207180108,201257243,201257242,207180104,207180103,212064495,216054696,216054697,265003169,219360407,219360406,222153509,224551769,226635007,228450875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981647, s2 = 10367843, dlinesl.size( ) = 18 s1 = 11339919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339919, s2 = 12924655, int(edited[s2]) = 0 s1 = 11339919, s2 = 12924655, d1 = 6, d2 = 9 Dl.O(d1) = 259442272 Dl.O(d2) = 94442760,80384053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339919, s2 = 12924655, dlinesl.size( ) = 12 s1 = 14087836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087836, s2 = 6897111, int(edited[s2]) = 0 s1 = 14087836, s2 = 6897111, d1 = 48, d2 = 23 Dl.O(d1) = 97314008,111311331,125183658,260964178,97100656,259846841,125018068 Dl.O(d2) = 259855035 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087836, s2 = 6897111, dlinesl.size( ) = 2 s1 = 14087836, s2 = 6897111, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14087836, Dl.E( ) = 76, 4.01e-05 seconds used appending s1 = 12807738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11467561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467561, s2 = 11323712, int(edited[s2]) = 0 s1 = 11467561, s2 = 11323712, d1 = 12, d2 = 0 Dl.O(d1) = 200869886 Dl.O(d2) = 176049606,262071688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467561, s2 = 11323712, dlinesl.size( ) = 18 s1 = 11548341, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12807826, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997747, s2 = 14168533, int(edited[s2]) = 0 s1 = 10997747, s2 = 14168533, d1 = 12, d2 = 18 Dl.O(d1) = 256493175 Dl.O(d2) = 87240334,85857812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997747, s2 = 14168533, dlinesl.size( ) = 20 s1 = 13178880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13178880, s2 = 11797786, int(edited[s2]) = 0 s1 = 13178880, s2 = 11797786, d1 = 8, d2 = 4 Dl.O(d1) = 19131596,13660439,9354416,6127224,3833584,2296849 Dl.O(d2) = 3833702,3833757,2296910,2296915,3833702,3833757,2296910,2296913,3833707,6127166,9354334,13660343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13178880, s2 = 11797786, dlinesl.size( ) = 2 s1 = 13178880, s2 = 11797786, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13178880, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 14318503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15056741, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 714966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 714966, s2 = 13228163, int(edited[s2]) = 0 s1 = 714966, s2 = 13228163, d1 = 6, d2 = 5 Dl.O(d1) = 18236638,12935640,8800226,5732389,254290103,1227659,694736,389368 Dl.O(d2) = 204015,372055,372056,669867,688106,1218266,2114200,3549949,254627185,8880062,268016303,8880688,13039037,13151607,8964018,5851573,5851572,8964017,13151606,18205424,18296484,12987089,8841173,5761884,3588792,2139620,1235480,1235479,2125109,1225902,1200380,675939,675942,383412,383414,378829,378832,214974 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 714966, s2 = 13228163, dlinesl.size( ) = 2 s1 = 714966, s2 = 13228163, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 714966, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13228164, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13304616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13332712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11857822, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8995815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11070931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11070931, s2 = 10632125, int(edited[s2]) = 0 s1 = 11070931, s2 = 10632125, d1 = 19, d2 = 10 Dl.O(d1) = 25298375,25298376,33024844,30596969,254404446,49121684,60522766 Dl.O(d2) = 40035493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11070931, s2 = 10632125, dlinesl.size( ) = 20 s1 = 12716559, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11327675, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11327675, s2 = 6879892, int(edited[s2]) = 0 s1 = 11327675, s2 = 6879892, d1 = 33, d2 = 22 Dl.O(d1) = 259721818,70842345,58127888,268517130,28384320,256840903,22296327,255547750,28838288,28838289,37378552,38214846,29648292,22296285,16151097,16151095,22296281,29648286,38214839,47852054,37932127,37932128,255548448,35174607,27086259,20188039,14484672,9966071,8241894,7552477,4776089,4776087,7552468,11368026,11368152,11360251,11360208,11360209,11360227,11360225,16328809,22503023,267993564,15923211,15923210,16303203,11343645,11343644,11381618,7561745,7561746,11381624,15922612,15922614,15995042,15995043,16357242,11383290,7562782,7562779,11383276,16357224,22529835,28303780,21094805,21094806,15177107,15177108,15152476,10449986,6888811,6888812,10449989,10449976,10449975,15152457,16095349,20304007,27233121,28304057,29577105,29577945,22230384,21095136,21095137,23659607,17342798,12216337,12216338,17342800,22472672,23612605,21092569,15150833,15150834,15150710,15150711,21092380,28300872,36798157,255586198,8533140,8533139,12580155,17775786 Dl.O(d2) = 259579599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11327675, s2 = 6879892, dlinesl.size( ) = 28 s1 = 14318758, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11276529, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12810062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11017713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12718197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3994947, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14318904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14318904, s2 = 12971045, int(edited[s2]) = 0 s1 = 14318904, s2 = 12971045, d1 = 46, d2 = 22 Dl.O(d1) = 195223068,202121674,207919881,212698300,216604364,216604360,216604361,219842508,222575351,274422943,228739366,226961374,224922345,224922346,265756559,230304851,228739369,228739363,228739364,228739367,228739368,230304852,230628258,230304850,230304851,228739369,226961377,226961376,228739368,230304852,229109695,227390175,227390174,225424266,223163569,220548254,217473733,213787849,209295767,203819356,197259363,189569133,180669414,180669415,189569135,197259367,189569137,180669417,180669416,273089948,197259364,197259365,189569138,180669419,170535798,159194959,146819963,133561224,119686159,105447433,91225001,77305159,64156870,52305386,41964962,33022219,25295995,25295994,255064298,20351002,16521873,11514476,7659519,7659518,10792017,10792015,11540682,7677826,4858197,4858198,7677846,11540731,16557113,22771340,18212763,18212761,18212789,20293549,20293536,20293535,16107606,11188409,11188408,15026912,19422207,25496187,18891127,13462407,13462406,18891123,254220334,22719169,16514195,11508726,7656034,4844400,2919428,1693612,1693614,2919435,4225633,6743505,10262156,14923679,20821444,21219033,28444970,24651946,254218764 Dl.O(d2) = 258458182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14318904, s2 = 12971045, dlinesl.size( ) = 2 s1 = 14318904, s2 = 12971045, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14318904, Dl.E( ) = 50, 1.62e-05 seconds used appending s1 = 11591881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14326092, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14326092, s2 = 8238061, int(edited[s2]) = 0 s1 = 14326092, s2 = 8238061, d1 = 41, d2 = 45 Dl.O(d1) = 58817722,58817717,58817718,58817723,71546080,85117267,85117263,71546075,58817720,58817719,58817721,47431335,37523862,37523860,47431331 Dl.O(d2) = 255915023,36578620,28106696,28106695,28106694,28106693,36578617,257398011,49819527,49819528,61299068,258865497,70499505,70499506,258760887,71546075,58817720,47431334,47431333,47431332,58817718,58817723,71546080,85117267,85117263,71546075,71546074 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14326092, s2 = 8238061, dlinesl.size( ) = 2 s1 = 14326092, s2 = 8238061, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14326092, Dl.E( ) = 46, 1.12e-05 seconds used appending s1 = 14113371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113371, s2 = 11134062, int(edited[s2]) = 0 s1 = 14113371, s2 = 11134062, d1 = 28, d2 = 1 Dl.O(d1) = 261930494 Dl.O(d2) = 58323242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113371, s2 = 11134062, dlinesl.size( ) = 32 s1 = 11648133, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14302488, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11316077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316077, s2 = 14123851, int(edited[s2]) = 0 s1 = 11316077, s2 = 14123851, d1 = 72, d2 = 99 Dl.O(d1) = 259216072 Dl.O(d2) = 32094362,32094363,32094361,24519495,268460257,18088264,12823594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316077, s2 = 14123851, dlinesl.size( ) = 2 s1 = 11316077, s2 = 14123851, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11316077, Dl.E( ) = 136, 4.39e-05 seconds used appending s1 = 8288519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8288519, s2 = 8449143, int(edited[s2]) = 0 s1 = 8288519, s2 = 8449143, d1 = 21, d2 = 49 Dl.O(d1) = 255021434 Dl.O(d2) = 86281560,72682444,59943465,48551276,38636826,30062783,22685304,16486143,11486667,7640049,7640050,11486671,16486149,22685318,30062807,38636873,48551359,258161147,59943558,59943559,72682552,72682447,72682448,59943574,48551357,48551358,59943575,270336025,86281541,72682422,72682423,86281543,86797378,100245771,86797386,73185285,60438525,59943545,48551341,38636859,38636858,48551337,59943541,72682533,86281592,72682510,72682511,86281594,258542536,72682453,72682540,72682538,86281623,100245750,100245751,114276878,128160905,116568540,102469946,102469947,100777894,100777895,114276862,114276863,109584598,100898668,86918049,86918048,100898660,100898685,86918059,86918058,100898682,114276881,100245762,100245761,86918068,86918069,100245759,114276854,128160894,114276879,100898692,86918070,73307710,73307711,62036918,62036919,74833476,88466659,102469950,102469949,102469994,88466636,88466635,102469992,257229140,88069737,88069738,102055164,100898697,100898698,88466641,270898528,74833493,74833428,257636766,50545013,62036886,62036882,50545010,40509287,31813308,31813306,40509285,50545006,62036875,50545021,40509295,40509296,48697589,60093719,72831067,86426055,88466598,74833413,74833412,62036903,62036904,74833450,88466637,74833485,74833484,88466674,99364255,113365657,102470030,88466683,74833494,74833495,88466648,102470002,113311442,99307895,99307897,259960448,85421650,85421649,99364201,113365587,127223704,113365668,113365667,113311437,99307892,99307891,113311434,127171281,140518024,140518035,140518036,153201035,140569139,140569137,260577766,85421682,85421683,99364176,99364177,113365564,127223696,140569069,153250392,143733625,130408017,127632155,260256432,127223799,271329040,99364209,85421655,71834098,59094288,59094289,71834101,85421658,99364212,113365597,127223728,127223715,127223711,113365581,99364194,99364195,113365583,127223713,140569075,261691161,156260041,143733621,143733622,153250409,153250408,153250403,153250387,140569059,127223678,113365551,99364169,258734222,59094281,59094282,71834083,85421631,99364173,113365559,127223689,140569065,127223780,113365634,113365635,127223756,113365622,113365613,99364229,99364230,113365616,106755734,260314337,127223788,121008530,121008529,134805126,127632158,127632157,134805110,260256424,113763548,127632148,140569104,140569103,153250406,160172216,147923882,134805119,134805120,134805132,121008534,121008533,128784606,114888816,260662803,140569060,140569097,153250401,140981265,127632146,116172948,102115430,88127635,259359366,71834108,59094293,59094291,71834105,85421668,99364234,113365604,113365605,260509664,129881732,134805112,121008505,106755739,92450827,92450828,106755742,121008509,261045735,134805100,128784597,114888806,114888805,261237705,260722486,125630220,111815976,111815977,125630223,125630226,111815978,97883592,84014703,70480725,256525992,46425474,38775511,38775512,47628782,37706483,37706484,38775529,48697776,59030847,59030845,71773315,74354515,72831186,70994086,58279299,46913923,46913924,47562465,47562464,257072968,269103096,37656412,29106779,29106778,37656410,47562459,268393790,21838571,21838572,29146357,255568540,30191710,22801585,16584512,16584516,22801592,30191725,37706388,47628668,46864988,46864987,46913914,37036465,28538062,21314931,21314929,256314651,46913892,257655746,53055390,52717532,42330438,42330437,52717530,58279295,46913920,37706463,29146337,29146339,37706467,29146393,29146391,37706535,47628840,59031018,49066745,47628702,37706413,29146300,21838542,15769032,15769033,21838547,29146305,37706424,270310457,72131523,59400992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8288519, s2 = 8449143, dlinesl.size( ) = 20 s1 = 12813236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12813236, s2 = 13951766, int(edited[s2]) = 0 s1 = 12813236, s2 = 13951766, d1 = 40, d2 = 59 Dl.O(d1) = 267585930 Dl.O(d2) = 247091256,247043887,246992506,275063411,246937685,246879935,246819729,246757438,246691481,246621615,246546982,246468263,246385335,246297450,246297451,246385336,246468264,246546984,246546979,267555006,246297448,246297449,246385333,246414352,246414353,246495295,246572509,246645298,246691479,246691478,246645297,246572508,246495293,246414351,246328507,246237213,246139905,246038219,245929885,245814875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12813236, s2 = 13951766, dlinesl.size( ) = 12 s1 = 13373290, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13373290, s2 = 14087732, int(edited[s2]) = 0 s1 = 13373290, s2 = 14087732, d1 = 15, d2 = 19 Dl.O(d1) = 42447558,33454400,25682759,19059583,13606405,13606406,255679819 Dl.O(d2) = 64771721,52851898,42447575,33454425,33454426,42447576,52851899,64771722,259679457,91891456,77966581,64771719,64771720,259179878,64771722,259052537,77966581,64771723,257329760,42447576,258150433,256960911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13373290, s2 = 14087732, dlinesl.size( ) = 14 s1 = 11438567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11438567, s2 = 11094992, int(edited[s2]) = 0 s1 = 11438567, s2 = 11094992, d1 = 19, d2 = 2 Dl.O(d1) = 186131698,273555430,201765949 Dl.O(d2) = 48744429,38824286,30241007,22847460,16623632,16623631,13203804,13203803,18579906,25133310,29320203,21991394,15893935,11018217,7294322,7294321,11018211,15893923,21991369,29320176,32837755,32414076,24788994,18306538,12994820,8846903,8846902,12994816,18306532,24788987,31464264,40147753,31774165,24261880,17884092,254874848,268263746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11438567, s2 = 11094992, dlinesl.size( ) = 2 s1 = 11438567, s2 = 11094992, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11438567, Dl.E( ) = 52, 1.79e-05 seconds used appending s1 = 11396779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056333, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12374680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11386727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11386727, s2 = 11076548, int(edited[s2]) = 0 s1 = 11386727, s2 = 11076548, d1 = 30, d2 = 24 Dl.O(d1) = 156309509,156309502,261330737,116611095,102506428,88497707,74860807,257690647,40533253,257107337,53359639,258061320,52465982,58895542,59480516,258750187,272184588,52321039,41980464,36826883,33037163,25310080,268487559,64172965,77321920 Dl.O(d2) = 260259478,22446276,28547973,30268877,38853041,30499497,23086019,16832901,16832902,21323823,15352178,15352179,21323827,16276824,11318187,7515237,7515236,7515232,7515231,11318181,16276818,13916145,9551291,6267109,6267110,9551293,13916149,19446889,26144172,21349534,15373624,10623115,7011099,7011098,255031585,16832886,254809993,4988057,4988056,7859064,11771312,11771313,16832857,23085981,28547736,28547997,21323749,15352122,10605428,10605429,268205981,15944471,22047516,21323909,21323910,28548184,37047705,28548042,28548043,21323793,15352160,254730095,4397510,4397509,6997375,10605448,11318290,16277002,22446404,29814107,28547817,21323588,255826075,16277011,11318295,7515294,7515293,11318291,12129896,12129895,17248221,23557440,28547912,21323673,21323672,21323762,15352133,255157001,12129734,12129919,12129918,17248252,23557481,23557333,23557334,17248210,17248209,23557431,31039537,39716912,37047269,37047270,37047281,31039370,23557260,17248066,12129780,8161051,8161050,12129777,17248064,23557256,17809801,268262629,23557391,23557393,31039493,29554089,29554090,38119196,47615256,38119244,38119245,48032537,256455758,39761169,39761171,49735361,39716796,31039393,23557277,17248078,17248077,12129832,12129831,17248144,23557351,31039458,256455756,23557515,17248278,12129944,12129941,17248155,12129838,8161085,5231656,5231655,8161083,12129835,17248151,23557360,22209499,16078882,16078884,22209506,22209677,16079036,15351858,10605270,6997272,267962615,15351860,21323366,28547553,22209008,22209009,29553756,29554111,29554110,29555678,29555679,29554063,22209274,16078663,16078662,22209273,22209269,255456023,11166311,11166312,16078947,22209580,29554375,38119468,48032694,38119442,38119441,38119337,29555143 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11386727, s2 = 11076548, dlinesl.size( ) = 30 s1 = 11080519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080519, s2 = 325320, int(edited[s2]) = 0 s1 = 11080519, s2 = 325320, d1 = 3, d2 = 17 Dl.O(d1) = 28515450 Dl.O(d2) = 254497549,860718,860717,1518106,2629205,4388390,6983824,6985841,4389612,4389319,2629819,2629818,4389317,6985365,6984821,4388875,4388873,6984819,10588523,255394601,255394603,15318207,10580041,10580042,10585551,10585552,15326153,21292046,28512633,37011538,28520792,255394829,10589019,10589018,255394827,20301567,15317325,10579456,10579455,10580059,15318224,21280942,28227805,30468864,39059476,48982132,39501580,31548464,24045009,17692670,17692671,24045011,31548468,30925777,23487708,17203731,12098258,8136629,8136630,12098260,17203732,23487710,30925781,29824456,29824457,38396804,39699969,39199845,30603409,30603410,25050032,18513475,13153826,8965664,5852843,5852844,8965666,13153828,18513479,25050040,32740072,37081475,28582012,21352333,256858237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080519, s2 = 325320, dlinesl.size( ) = 8 s1 = 11266765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11266765, s2 = 11021494, int(edited[s2]) = 0 s1 = 11266765, s2 = 11021494, d1 = 13, d2 = 16 Dl.O(d1) = 94408728 Dl.O(d2) = 268422232,26665180,19849947,19849946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11266765, s2 = 11021494, dlinesl.size( ) = 20 s1 = 14287124, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8344136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8344136, s2 = 6459724, int(edited[s2]) = 0 s1 = 8344136, s2 = 6459724, d1 = 38, d2 = 19 Dl.O(d1) = 272530839,112640129 Dl.O(d2) = 257441064,71143097,257441070,47046476,37155653,28639893,21399408,254732520,7035282,10654157 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8344136, s2 = 6459724, dlinesl.size( ) = 24 s1 = 14932075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14319507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8323862, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15309234, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15309234, s2 = 16299841, int(edited[s2]) = 0 s1 = 15309234, s2 = 16299841, d1 = 0, d2 = 3 Dl.O(d1) = 28067683,36534343,46395075 Dl.O(d2) = 46395075,258003917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15309234, s2 = 16299841, dlinesl.size( ) = 26 s1 = 11407429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11407429, s2 = 11240164, int(edited[s2]) = 0 s1 = 11407429, s2 = 11240164, d1 = 49, d2 = 91 Dl.O(d1) = 168483846 Dl.O(d2) = 30880147,30880145,30880146,30880147,39485770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11407429, s2 = 11240164, dlinesl.size( ) = 20 s1 = 15257636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15257636, s2 = 14110008, int(edited[s2]) = 0 s1 = 15257636, s2 = 14110008, d1 = 1, d2 = 2 Dl.O(d1) = 261516277 Dl.O(d2) = 262074148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15257636, s2 = 14110008, dlinesl.size( ) = 8 s1 = 11338535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338535, s2 = 3941851, int(edited[s2]) = 0 s1 = 11338535, s2 = 3941851, d1 = 120, d2 = 138 Dl.O(d1) = 260881598,177713474,186993386 Dl.O(d2) = 186440347,186440346,194593262,201575983,207452976,207452965,207452966,201575969,194593248,186440336,177085931,166504980,154798741,142164689,128810076,114912963,100862512,86882282,73270585,60525557,49124461,39196875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338535, s2 = 3941851, dlinesl.size( ) = 34 s1 = 11155949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11155949, s2 = 9707121, int(edited[s2]) = 0 s1 = 11155949, s2 = 9707121, d1 = 63, d2 = 69 Dl.O(d1) = 61499796,74276621,260119737 Dl.O(d2) = 260747589,104337478,90185003,76356686,63325296,51601646,41376532,32527104,24883361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11155949, s2 = 9707121, dlinesl.size( ) = 18 s1 = 11297695, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11405549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11405549, s2 = 11251532, int(edited[s2]) = 0 s1 = 11405549, s2 = 11251532, d1 = 22, d2 = 0 Dl.O(d1) = 261837687 Dl.O(d2) = 50099826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11405549, s2 = 11251532, dlinesl.size( ) = 30 s1 = 11447707, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447707, s2 = 9218741, int(edited[s2]) = 0 s1 = 11447707, s2 = 9218741, d1 = 19, d2 = 17 Dl.O(d1) = 191904243,191904242,183336941,173537692,162501727,151473140,138771697,125442952,118051446 Dl.O(d2) = 100861198,95113888,256743444,86620499,84588024,84588025,73020612,60283923,60283922,73020609,86620502,257308704,81056520,81056519,95113885,260987025,150332630,162467556,152458682,261552656,112489614,112489615,123559130,123559129,260397992,126357441,126357440,139733413,271657836,259157458,86880943,73269159,73269160,86880945,100861187,100861190,114911582,128508417,114620331,114620330,126357373,126357371,126390181,112519712,112508302,98513122,84587998,71023749,71023750,84588002,98513127,112508310,126357423,112489611,112489612,112489665,126357468,139733431,139733391,126357404,112489599,112489600,126357407,126357376,126357375,126357396,126357409,112508345,98513169,84588055,71023788,71023787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447707, s2 = 9218741, dlinesl.size( ) = 2 s1 = 11447707, s2 = 9218741, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11447707, Dl.E( ) = 24, 2.38e-05 seconds used appending s1 = 11503467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503467, s2 = 11418190, int(edited[s2]) = 0 s1 = 11503467, s2 = 11418190, d1 = 3, d2 = 13 Dl.O(d1) = 215695387 Dl.O(d2) = 211644649,263519964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503467, s2 = 11418190, dlinesl.size( ) = 14 s1 = 13974049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13974049, s2 = 5250346, int(edited[s2]) = 0 s1 = 13974049, s2 = 5250346, d1 = 41, d2 = 49 Dl.O(d1) = 261647939,273099243,184720743,193084213,263493449,175143009,184720738 Dl.O(d2) = 264324055,213235182,264845705,208587295,208587296,213235183,265455031,217038793,220198491,222874686,222874687,225179110,225179112,225179113,227181608,265913911,231845535,233081251,234198822,266460651,236983546,237207939,236384990,235484121,234496572,233412176,232217974,230894592,229417323,227753943,225858110,223684917,221176680,218247718,218247717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13974049, s2 = 5250346, dlinesl.size( ) = 54 s1 = 11261433, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261433, s2 = 11641564, int(edited[s2]) = 0 s1 = 11261433, s2 = 11641564, d1 = 98, d2 = 96 Dl.O(d1) = 259284602 Dl.O(d2) = 247161916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261433, s2 = 11641564, dlinesl.size( ) = 40 s1 = 11478335, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14287568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593287, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11593287, s2 = 15513019, int(edited[s2]) = 0 s1 = 11593287, s2 = 15513019, d1 = 90, d2 = 120 Dl.O(d1) = 266126434,236029974,266005544 Dl.O(d2) = 46359418,36501402,36501403,46359419,57708580,70402618,258089918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11593287, s2 = 15513019, dlinesl.size( ) = 84 s1 = 11422607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11422607, s2 = 10156663, int(edited[s2]) = 0 s1 = 11422607, s2 = 10156663, d1 = 25, d2 = 40 Dl.O(d1) = 186697303,177379958,166830859,155136838,261799851,260679447,115183558,129115176,142492241,155136437,166830401,177379553,177379572,177379501,177379502,166830795,155136787,155136786,154139647,141470435,128105220,114217076,114217077,128105206,141470414 Dl.O(d2) = 260185661,117429780,131238416,117429795,103294804,89200045,258317507,62526145,75448322,260185661,259569977,75448319,89200039,103294796,117429782,117429796,103294804,89200045,258317507,269024217,256061931,18056828,18056829,256061933,40803389,50922704,62526152,75448329,78514515,92561012,106880165,121147877,131238435,131238458,144474237,261567682,123889609,109744264,109744263 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11422607, s2 = 10156663, dlinesl.size( ) = 20 s1 = 11556349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556349, s2 = 11299894, int(edited[s2]) = 0 s1 = 11556349, s2 = 11299894, d1 = 21, d2 = 31 Dl.O(d1) = 230435836,228883943 Dl.O(d2) = 262624736,261617766 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556349, s2 = 11299894, dlinesl.size( ) = 28 s1 = 12815052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12815092, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11510843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11323431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323431, s2 = 11351270, int(edited[s2]) = 0 s1 = 11323431, s2 = 11351270, d1 = 14, d2 = 18 Dl.O(d1) = 136757271,261536323,162110314,173210175,183060920,191669989,199073399,205336274,210521093,214757787,218244344,221173568 Dl.O(d2) = 235607158,234629193,233556050,232375906,231070748,265833126,265527254,265157346,264708386,205963597,199812991,192536925,263066620,163588141,151709174,261613492,125666292,111850530,97916313,84045501,70510219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323431, s2 = 11351270, dlinesl.size( ) = 8 s1 = 11648317, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11023221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11646091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11646091, s2 = 11646102, int(edited[s2]) = 0 s1 = 11646091, s2 = 11646102, d1 = 19, d2 = 16 Dl.O(d1) = 267719207 Dl.O(d2) = 247986169 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11646091, s2 = 11646102, dlinesl.size( ) = 28 s1 = 11510949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11510949, s2 = 7436953, int(edited[s2]) = 0 s1 = 11510949, s2 = 7436953, d1 = 13, d2 = 15 Dl.O(d1) = 265510019 Dl.O(d2) = 266642749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11510949, s2 = 7436953, dlinesl.size( ) = 14 s1 = 12034252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12815494, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14888678, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14218791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14218791, s2 = 10675546, int(edited[s2]) = 0 s1 = 14218791, s2 = 10675546, d1 = 1, d2 = 1 Dl.O(d1) = 212638760,207851396,202043083,195135531,273576794,263972156,216551795,216551800,212638753,207851390,207851391,212638755,216551795,212638758,207851393,202043081,195135529,195135530,263238340,195135528,187058684,177784998,167290491,261830506,177784993,167290489 Dl.O(d2) = 212638760,207851396,202043083,195135531,273576794,263972156,216551795,216551800,212638753,207851390,207851391,212638755,216551795,212638758,207851393,202043081,195135529,195135530,263238340,195135528,187058684,177784998,167290491,261830506,177784993,167290489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14218791, s2 = 10675546, dlinesl.size( ) = 2 s1 = 14218791, s2 = 10675546, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 14218791, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11626373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12815572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14287984, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11413674, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3376214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13161071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13830724, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13830724, s2 = 13845781, int(edited[s2]) = 0 s1 = 13830724, s2 = 13845781, d1 = 32, d2 = 34 Dl.O(d1) = 263255525,195359918,202234351 Dl.O(d2) = 274015909,208014144,274425024,222683092,219963559,273750594,202329313,195468051,187445741,261857158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13830724, s2 = 13845781, dlinesl.size( ) = 38 s1 = 12730455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12730455, s2 = 5743139, int(edited[s2]) = 0 s1 = 12730455, s2 = 5743139, d1 = 7, d2 = 2 Dl.O(d1) = 229094015,230614965 Dl.O(d2) = 233190274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12730455, s2 = 5743139, dlinesl.size( ) = 2 s1 = 12730455, s2 = 5743139, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12730455, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11609479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609479, s2 = 6633986, int(edited[s2]) = 0 s1 = 11609479, s2 = 6633986, d1 = 12, d2 = 16 Dl.O(d1) = 241470459,241470460 Dl.O(d2) = 257933200,256766038 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609479, s2 = 6633986, dlinesl.size( ) = 14 s1 = 13990756, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14128187, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12818130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11025367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11025367, s2 = 11655146, int(edited[s2]) = 0 s1 = 11025367, s2 = 11655146, d1 = 6, d2 = 15 Dl.O(d1) = 256588319,51285670,62961138,75942658,89721844 Dl.O(d2) = 157496820,262414881,261912933,131801708,131801707,262414873,262414875,179250963,188304823,188304825,179250965,168961876,157496817,145061280,145061279,145061276,131801718,117973672,260804357,145061272,157496810,263677213,262879737,261374003,131801719,145061279,145061276,131801718,117973672,103827250,103827249,117973669,131801714,145061269,157496808,157496815,145061278,271942419,103827252,89721843,89721844,103827254,271942421,145061285,157496820,262414881,261912933,131801708,131801707,262414873,262414875,179250963,188304823,188304825,179250965,168961876,157496817,145061280,145061279,145061276,131801718,117973672,103827250,103827249,262414879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11025367, s2 = 11655146, dlinesl.size( ) = 16 s1 = 14338057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14320200, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11259585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259585, s2 = 11163264, int(edited[s2]) = 0 s1 = 11259585, s2 = 11163264, d1 = 17, d2 = 46 Dl.O(d1) = 258359373 Dl.O(d2) = 184773226,175202591,164418229,152559281,152559280,261430592,184773230,262926198,193130296,184773228,272369470,164418222,152559275,139845510,126473752,258395930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259585, s2 = 11163264, dlinesl.size( ) = 2 s1 = 11259585, s2 = 11163264, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11259585, Dl.E( ) = 50, 1.62e-05 seconds used appending s1 = 10418430, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11489013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11489013, s2 = 11056904, int(edited[s2]) = 0 s1 = 11489013, s2 = 11056904, d1 = 10, d2 = 5 Dl.O(d1) = 264316718 Dl.O(d2) = 257475546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11489013, s2 = 11056904, dlinesl.size( ) = 20 s1 = 12818560, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12818872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16372368, s2 = 12818891, int(edited[s2]) = 0 s1 = 16372368, s2 = 12818891, d1 = 0, d2 = 0 Dl.O(d1) = 270565108,258740525,257507201,38054604,29490715,22151961,16032188,11131909,7383880,7383881,11131910,16032190,22151964,29490719,38054608,47967874,59359024,71478102,71478103,85049678,71478105,58748962,47362125,37456057,28916670,256204001,19858404,14227397,9780657,6430569,4034272,2417637,2417638,4034274,5677284,8721806,11074531,11074532,15957225,22061647,17871555,15610241,10800198,7136125,4492783,4492782,7136121,10800188,8334515,8334514,8334538,6227441,6227440,7345957,7345954,11078456,11009471,7288099,7288097,11009412,7574554,7574555,11399539,16379473,22557475,29625128,37935493,47362165,58749005,71478136,85049715,98974803,259179664,126817561,140167466,261568566,184996522,193330014,186768498,262790561,155236656,142599558,129228952,115300913,115300912,101222930,87222136,73600144,60850579,49448839,39516911,30908024,23472625,23472626,30908022,39516910,49448837,60850578,68142313,68142312,81632481,95666026,109870113,124009370,137690668,124009371,272102133,150686044,162778700,173776414,173776415,263043087,273832521,199435533,205654895,210800034,215002380,265146861,223848819,226004117,227883914,229535654,231002532,231822414,230444077,228893040,227132988,225116289,222795563,220097837,216905289,213054910,208346242,202637157,195842007,187905760,178803324,178803325,168496638,157048635,144650228,131427568,117626540,103496268,89402547,75641579,62697536,51068523,40927963,256068765,18126868,18126869,19811336,26621404,34610145,29674700,22323845,16178659,11245412,7464492,7464494,11245416,255464957,29476304,29476306,38039207,30679065,23262538,16999183,16999182,20111890,14423266,13072790,11245447,7464513,4717067,2841768,2841767,4717066,7464511,11245440,16178698,22323900,28064117,28064116,36530283,34610150,26621411,19811342,19811341,25831447,25831448,256381541,37997361,29434669,22102181,254765678,7362277,7362278,11101674,255449251,29434670,37997363,47913276,59307403,72042804,85630637,99580570,113596408,127471672,140830951,140830950,153510775,165305331,176000027,165305333,153510777,153510776,165305332,176000028,185474063,176000025,165305329,165305328,176000022,176000021,185474060,185474062,185474061,191913029,183348228,173551394,162517617,150386554,137345057,123612412,109418439,95162242,81103843,67637911,55299841,44455267,35080245,26995365,254650090,14414723,15278380,12332437,12332436,10696100,7066307,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,32040500,30735494,23316271,17052548,17052549,17051313,17051314,268426053,23315075,20814322,14918143,10258189,6740894,6740895,10258191,14918145,20814325,27977878,30734157,39332144,49257915,39332896,30735144,23315993,23315992,23313992,23313993,30732936,23316192,23316183,23316182,23316135,17052466,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,3094110,1807863,1807864,3094111,5097558,255143599,8007522,8007523,11962174,17051828,23313562,30732415,268673902,29479864,22142376,22142377,23315744,17052156,17052155,23315742,30734930,39332579,39332578,39331869,30733780,30731613,23312900,23312899 Dl.O(d2) = 270565108,258740525,257507201,38054604,29490715,22151961,16032188,11131909,7383880,7383881,11131910,16032190,22151964,29490719,38054608,47967874,59359024,71478102,71478103,85049678,71478105,58748962,47362125,37456057,28916670,256204001,19858404,14227397,9780657,6430569,4034272,2417637,2417638,4034274,5677284,8721806,11074531,11074532,15957225,22061647,17871555,15610241,10800198,7136125,4492783,4492782,7136121,10800188,8334515,8334514,8334538,6227441,6227440,7345957,7345954,11078456,11009471,7288099,7288097,11009412,7574554,7574555,11399539,16379473,22557475,29625128,37935493,47362165,58749005,71478136,85049715,98974803,259179664,126817561,140167466,261568566,184996522,193330014,186768498,262790561,155236656,142599558,129228952,115300913,115300912,101222930,87222136,73600144,60850579,49448839,39516911,30908024,23472625,23472626,30908022,39516910,49448837,60850578,68142313,68142312,81632481,95666026,109870113,124009370,137690668,124009371,272102133,150686044,162778700,173776414,173776415,263043087,273832521,199435533,205654895,210800034,215002380,265146861,223848819,226004117,227883914,229535654,231002532,231822414,230444077,228893040,227132988,225116289,222795563,220097837,216905289,213054910,208346242,202637157,195842007,187905760,178803324,178803325,168496638,157048635,144650228,131427568,117626540,103496268,89402547,75641579,62697536,51068523,40927963,256068765,18126868,18126869,19811336,26621404,34610145,29674700,22323845,16178659,11245412,7464492,7464494,11245416,255464957,29476304,29476306,38039207,30679065,23262538,16999183,16999182,20111890,14423266,13072790,11245447,7464513,4717067,2841768,2841767,4717066,7464511,11245440,16178698,22323900,28064117,28064116,36530283,34610150,26621411,19811342,19811341,25831447,25831448,256381541,37997361,29434669,22102181,254765678,7362277,7362278,11101674,255449251,29434670,37997363,47913276,59307403,72042804,85630637,99580570,113596408,127471672,140830951,140830950,153510775,165305331,176000027,165305333,153510777,153510776,165305332,176000028,185474063,176000025,165305329,165305328,176000022,176000021,185474060,185474062,185474061,191913029,183348228,173551394,162517617,150386554,137345057,123612412,109418439,95162242,81103843,67637911,55299841,44455267,35080245,26995365,254650090,14414723,15278380,12332437,12332436,10696100,7066307,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,11386057,14917975,14917979,18859924,13437355,9187019,6012822,3760496,3760495,6012819,9187007,13437332,17964641,14917887,14917885,20813893,23375271,23574944,20814380,20814376,25459923,25459520,18859750,13437252,9186958,9186955,13437237,13437466,9187070,6012851,6012850,9187053,13437422,14920237,10259664,6741878,6741880,10259676,14920270,20817044,27981056,30733387,30733391,27977644,27977646,27977662,22535160,22535159,17051025,17050939,17050936,23313947,30732890,25459761,18859911,18859912,24476364,32040500,30735494,23316271,17052548,17052549,17051313,17051314,268426053,23315075,20814322,14918143,10258189,6740894,6740895,10258191,14918145,20814325,27977878,30734157,39332144,49257915,39332896,30735144,23315993,23315992,23313992,23313993,30732936,23316192,23316183,23316182,23316135,17052466,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,3094110,1807863,1807864,3094111,5097558,255143599,8007522,8007523,11962174,17051828,23313562,30732415,268673902,29479864,22142376,22142377,23315744,17052156,17052155,23315742,30734930,39332579,39332578,39331869,30733780,30731613,23312900,23312899 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16372368, s2 = 12818891, dlinesl.size( ) = 2 s1 = 16372368, s2 = 12818891, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 16372368, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 12818892, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12818976, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12819000, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12819000, s2 = 7812136, int(edited[s2]) = 0 s1 = 12819000, s2 = 7812136, d1 = 70, d2 = 47 Dl.O(d1) = 207841351,202031389,195122380,195122379,264010224,177770986,177770985,167276785,155645230,155645229,167276786,167276782,155645225,143093704,129763200,115863755,101817166,258951816,74237406,87842692,260116907,258951816,257714274 Dl.O(d2) = 255941886,38995176,30405831,23000651,16760755,16625307,11596667,7719584,4886050,2944206,1707361,1707360,2944203,4886040,7719567,5934662,254911029 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12819000, s2 = 7812136, dlinesl.size( ) = 30 s1 = 11151613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11151613, s2 = 396970, int(edited[s2]) = 0 s1 = 11151613, s2 = 396970, d1 = 86, d2 = 6 Dl.O(d1) = 269833093 Dl.O(d2) = 10040045 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11151613, s2 = 396970, dlinesl.size( ) = 22 s1 = 11111121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13468249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13468249, s2 = 11288718, int(edited[s2]) = 0 s1 = 13468249, s2 = 11288718, d1 = 0, d2 = 0 Dl.O(d1) = 112672580,126535155,139898368,152606362,144960840,131719401,117903866,103767043,89934142,76127958,76127957 Dl.O(d2) = 112672580,126535155,139898368,152606362,144960840,131719401,117903866,103767043,89934142,76127958,76127957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13468249, s2 = 11288718, dlinesl.size( ) = 2 s1 = 13468249, s2 = 11288718, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 13468249, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 12733499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158297, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158297, s2 = 11135212, int(edited[s2]) = 0 s1 = 11158297, s2 = 11135212, d1 = 28, d2 = 10 Dl.O(d1) = 260754095,262324396,30568223,268658177,49096219 Dl.O(d2) = 257865704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158297, s2 = 11135212, dlinesl.size( ) = 26 s1 = 11137403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10431846, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16282162, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12819982, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11117487, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12735119, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12735201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12735201, s2 = 10732545, int(edited[s2]) = 0 s1 = 12735201, s2 = 10732545, d1 = 14, d2 = 23 Dl.O(d1) = 77480827 Dl.O(d2) = 19784522,14171155,9742296,9742297,14171158,19784529,19784739,14171311,9742406,6406193,6406194,9742412,14171328,12225291,12225293,16209385,11267814,7479882,6023876,3768587,2258005,2258004,3768581,6023868,9200664,13453910,16053518,19859893,16527832,16527835,22733623,18591100,13211260,13211259,18591094,25073156,18591024,13211211,9005567,5878718,3670141,2196786,2196788,3670156,5878755,9005638,13211350,9925518,6523323,6523324,9925525,14429288,19784608,25488942,25488941,24245146,18879683,13454085,13454002,9200729,6023900,6023898,9200723,9200763,9326613,6109367,6109366,9326606,8974355,5858607,3657192,3657194,5858617,8974371,11146680,16053529,11519127,11519129,16527831,13454307,13454287,13454282,9200888,9200887,13454277,15234680,15234678,21199340,18590978,13458203,9203360,9203359,11267798,11267797,13211064,13453492,254651167,6023745,4217940,4217939,6732309,10246384,14902417,20794916,25481260,18878967,13453539,9200443,6023757,6023758,9200446,13453545,18878979,14901729,13455097,10252037,8591580,8591582,12654346,14901629,14901632,18881260,13457968,13457965,13458168,9203344,6025430,3769437,2258450,1310817,748364,425339,240162,240164,425341,748367,1310824,2258467,3769470,6025494,9203470,13458399,18885748,25489633,33239248,257202325,64435673,77604515,64435680,64435676,64435677,77604522,91534509,105756913,91534508,77604521,64435675,257582696,33239249,33239248,257202325,64435673,77604515,64435680,64435676,64435677,77604522,91534509,260278593,105756914,91534508,91534507,91534502,77604513,77604514,91534505,105756911,119990368,133855724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12735201, s2 = 10732545, dlinesl.size( ) = 2 s1 = 12735201, s2 = 10732545, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 12735201, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 11133735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12820382, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10680663, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10680663, s2 = 14108507, int(edited[s2]) = 0 s1 = 10680663, s2 = 14108507, d1 = 4, d2 = 22 Dl.O(d1) = 140167448 Dl.O(d2) = 164696284,262514054,176527244,165872912,154105780,261198559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10680663, s2 = 14108507, dlinesl.size( ) = 26 s1 = 14320756, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14320756, s2 = 11172818, int(edited[s2]) = 0 s1 = 14320756, s2 = 11172818, d1 = 44, d2 = 8 Dl.O(d1) = 156217948,167812783,178255839,187470396,195488887,202346399,202346388,202346389,264580681,208111505,212864987,212864994,212864995,216752093 Dl.O(d2) = 129660114,115762265 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14320756, s2 = 11172818, dlinesl.size( ) = 20 s1 = 12736187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11527719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527719, s2 = 8855943, int(edited[s2]) = 0 s1 = 11527719, s2 = 8855943, d1 = 48, d2 = 54 Dl.O(d1) = 225477366,274377515,209423252,264035616,180891873,170753291 Dl.O(d2) = 220620545,265463332,265475691,225477341,223225005,223225006,225477343,227436622,227436627,225477361,223225020,265079282,264612048,209423251,265293815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527719, s2 = 8855943, dlinesl.size( ) = 32 s1 = 14320822, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11041689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11041689, s2 = 11059458, int(edited[s2]) = 0 s1 = 11041689, s2 = 11059458, d1 = 89, d2 = 73 Dl.O(d1) = 23738005,31221645,270382385,115803310 Dl.O(d2) = 258660749,256748300,15274844,255269410,21251540,28464852,28464853,36964078,31401133,23908643,17564948,12393604,8375538,8375539,12393608,12375989,8363021,5397873,3319150,1952562,1115609,626112,626111,1115607,267799957,5397855,8362982,12375950,13513410,12375908,12375907,17545425,23891971,31388338,254726246,23480911,17197806,12093238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11041689, s2 = 11059458, dlinesl.size( ) = 40 s1 = 11493639, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11493639, s2 = 11476438, int(edited[s2]) = 0 s1 = 11493639, s2 = 11476438, d1 = 1, d2 = 23 Dl.O(d1) = 216034441 Dl.O(d2) = 218267823,264677750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11493639, s2 = 11476438, dlinesl.size( ) = 24 s1 = 11655085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655085, s2 = 11505696, int(edited[s2]) = 0 s1 = 11655085, s2 = 11505696, d1 = 20, d2 = 15 Dl.O(d1) = 272884084,216281303,263945144 Dl.O(d2) = 230160838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655085, s2 = 11505696, dlinesl.size( ) = 26 s1 = 11597199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597199, s2 = 11150374, int(edited[s2]) = 0 s1 = 11597199, s2 = 11150374, d1 = 54, d2 = 48 Dl.O(d1) = 274783705 Dl.O(d2) = 269826374 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597199, s2 = 11150374, dlinesl.size( ) = 48 s1 = 14320906, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11550815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11550815, s2 = 11521306, int(edited[s2]) = 0 s1 = 11550815, s2 = 11521306, d1 = 9, d2 = 7 Dl.O(d1) = 265640795 Dl.O(d2) = 264873805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11550815, s2 = 11521306, dlinesl.size( ) = 12 s1 = 12821854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12821854, s2 = 11413270, int(edited[s2]) = 0 s1 = 12821854, s2 = 11413270, d1 = 28, d2 = 1 Dl.O(d1) = 215658736,265184691 Dl.O(d2) = 185161466 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7224371, s2 = 14140177, int(edited[s2]) = 0 s1 = 7224371, s2 = 14140177, d1 = 12, d2 = 11 Dl.O(d1) = 264227728,219356942 Dl.O(d2) = 224548813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7224371, s2 = 14140177, dlinesl.size( ) = 2 s1 = 7224371, s2 = 14140177, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 7224371, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11223979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223979, s2 = 15037399, int(edited[s2]) = 0 s1 = 11223979, s2 = 15037399, d1 = 149, d2 = 167 Dl.O(d1) = 88291208,102283526 Dl.O(d2) = 266911481,266911489,241045724,267049453,241897523,241897524,267161203,267089744,241487649,241045725,241045687,240569231,274832908,238903178,238250070,237532503,236742179,266432236,266003588,212060118,212060119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223979, s2 = 15037399, dlinesl.size( ) = 106 s1 = 12821948, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15302465, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11541771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541771, s2 = 11514960, int(edited[s2]) = 0 s1 = 11541771, s2 = 11514960, d1 = 25, d2 = 38 Dl.O(d1) = 265245084,231629211,232883910,234020129,235055424 Dl.O(d2) = 235055425,235064100,274639844,266021506,219733986,216477803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541771, s2 = 11514960, dlinesl.size( ) = 40 s1 = 11479113, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11197285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511689, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511689, s2 = 11412022, int(edited[s2]) = 0 s1 = 11511689, s2 = 11412022, d1 = 13, d2 = 0 Dl.O(d1) = 264702241,210952383,274387344,223927934,226073155 Dl.O(d2) = 163385251 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511689, s2 = 11412022, dlinesl.size( ) = 22 s1 = 8867356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11502025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502025, s2 = 7268916, int(edited[s2]) = 0 s1 = 11502025, s2 = 7268916, d1 = 87, d2 = 82 Dl.O(d1) = 265837611 Dl.O(d2) = 264779700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502025, s2 = 7268916, dlinesl.size( ) = 32 s1 = 14320988, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14320988, s2 = 5316191, int(edited[s2]) = 0 s1 = 14320988, s2 = 5316191, d1 = 50, d2 = 68 Dl.O(d1) = 264412405 Dl.O(d2) = 220439457,217332824,213602730 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14320988, s2 = 5316191, dlinesl.size( ) = 54 s1 = 11623001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623001, s2 = 11602124, int(edited[s2]) = 0 s1 = 11623001, s2 = 11602124, d1 = 13, d2 = 6 Dl.O(d1) = 267243165 Dl.O(d2) = 266842193,266719743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623001, s2 = 11602124, dlinesl.size( ) = 18 s1 = 11558873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558873, s2 = 6155894, int(edited[s2]) = 0 s1 = 11558873, s2 = 6155894, d1 = 20, d2 = 36 Dl.O(d1) = 274394002,274625351 Dl.O(d2) = 274966842,243162045,243162046,243454147,267182241,242157983,241770969,241351696,241351697,241770971,242157988,267149299,242516910,242850880,242819031,242819032,243132286,243162055,242850882,267114367,241770976,241770975,242157990,242516908,242850879,243162051,267241667,243162044,274932184,242157986,242516896,267149295,242157983,242157984,242516896,242850870,242819030,242482094,267034168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558873, s2 = 6155894, dlinesl.size( ) = 30 s1 = 12822616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12822618, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12822618, s2 = 11610066, int(edited[s2]) = 0 s1 = 12822618, s2 = 11610066, d1 = 7, d2 = 13 Dl.O(d1) = 274631485,234819065,235780189,236654924 Dl.O(d2) = 240000060,266955489 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12822618, s2 = 11610066, dlinesl.size( ) = 14 s1 = 11498671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14321024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14321024, s2 = 13326620, int(edited[s2]) = 0 s1 = 14321024, s2 = 13326620, d1 = 62, d2 = 122 Dl.O(d1) = 245007206,244831157 Dl.O(d2) = 12260942,17398316,23433704,23433705,30863259,39467212,46872062,46371279,39725053,31046403,31046402,39725051,46630603,44597825,44597824,38993950,30404708,22999643,16759961,16759962,22999649,30404717,27123700,20219740,20219741,27123703,32465381,24826365,24826362,32465369,38728109,30146610,30146609,38728107,41310532,51531063,63247310,51531057,51531058,63247311,76265843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14321024, s2 = 13326620, dlinesl.size( ) = 38 s1 = 11624483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624483, s2 = 11398276, int(edited[s2]) = 0 s1 = 11624483, s2 = 11398276, d1 = 65, d2 = 52 Dl.O(d1) = 244250718,244020912,243774108 Dl.O(d2) = 262198999,140326480,126971500 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624483, s2 = 11398276, dlinesl.size( ) = 30 s1 = 15309843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11120397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12823034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14200493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11364829, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364829, s2 = 11416208, int(edited[s2]) = 0 s1 = 11364829, s2 = 11416208, d1 = 39, d2 = 35 Dl.O(d1) = 263999535 Dl.O(d2) = 263847668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364829, s2 = 11416208, dlinesl.size( ) = 58 s1 = 11528311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528311, s2 = 11445468, int(edited[s2]) = 0 s1 = 11528311, s2 = 11445468, d1 = 26, d2 = 0 Dl.O(d1) = 274579066,227560168,265647462,220798172,217763421,214127371,214127372,217763423,220798173,223382589 Dl.O(d2) = 190225956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528311, s2 = 11445468, dlinesl.size( ) = 28 s1 = 14875584, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409465, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11409465, s2 = 11258574, int(edited[s2]) = 0 s1 = 11409465, s2 = 11258574, d1 = 3, d2 = 104 Dl.O(d1) = 180700513,189598020 Dl.O(d2) = 158889033,146524960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11409465, s2 = 11258574, dlinesl.size( ) = 54 s1 = 11680765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11680765, s2 = 14157035, int(edited[s2]) = 0 s1 = 11680765, s2 = 14157035, d1 = 27, d2 = 19 Dl.O(d1) = 275062319 Dl.O(d2) = 267610017 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11680765, s2 = 14157035, dlinesl.size( ) = 30 s1 = 12739751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12823330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12823330, s2 = 12269652, int(edited[s2]) = 0 s1 = 12823330, s2 = 12269652, d1 = 6, d2 = 4 Dl.O(d1) = 111857327,262135913,260482575,260482577,139011960,151716023,151716022,151716024 Dl.O(d2) = 165036389,273342333,193578912,199818232,199818231,264708741,264486082,263125422,262204912,140536250,260561468,71797029,258340846,13657881,9352567,6125992,6125993,9352570,13657884,13616847,13616846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12823330, s2 = 12269652, dlinesl.size( ) = 8 s1 = 14149711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149711, s2 = 9191847, int(edited[s2]) = 0 s1 = 14149711, s2 = 9191847, d1 = 79, d2 = 105 Dl.O(d1) = 266506504,234779713 Dl.O(d2) = 262841458,143697441,130370718,116531809,102434311,270919826,74799796,62003269,50511674,40476494,31781893,31781892,257102305,62003267,74799795 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149711, s2 = 9191847, dlinesl.size( ) = 58 s1 = 9672051, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14028840, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12823806, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14292232, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16380849, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12824186, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 8448879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11118481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118481, s2 = 14071127, int(edited[s2]) = 0 s1 = 11118481, s2 = 14071127, d1 = 2, d2 = 1 Dl.O(d1) = 46883010,37004002,255495952,21286755,28505858,37004006,46883014,58250307 Dl.O(d2) = 26979536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118481, s2 = 14071127, dlinesl.size( ) = 2 s1 = 11118481, s2 = 14071127, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 11118481, Dl.E( ) = 22, 1.31e-05 seconds used appending s1 = 14109221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12743145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14321640, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14321652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294127, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12825956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12825956, s2 = 3769155, int(edited[s2]) = 0 s1 = 12825956, s2 = 3769155, d1 = 13, d2 = 24 Dl.O(d1) = 178803440,187905860 Dl.O(d2) = 146828745,133570274,259578986,258952638,261425221,133570273,131427740,131427741,260194478,105457346,91235722,91235723,259578984,133570272,146828738,146828739,159203107,272654154,146828747,146828746,159203110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12825956, s2 = 3769155, dlinesl.size( ) = 26 s1 = 10257026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10257026, s2 = 11442118, int(edited[s2]) = 0 s1 = 10257026, s2 = 11442118, d1 = 65, d2 = 35 Dl.O(d1) = 113489187,127358948,140715091,153396865,165200171,175907974,175907980,165200176,153396869,140715095,140715094,153396868,165200175,175907975,185397725,193679186,193679188,193679194,185397727,175907977,261892086 Dl.O(d2) = 264302460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10257026, s2 = 11442118, dlinesl.size( ) = 16 s1 = 9278863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 9278863, s2 = 9684431, int(edited[s2]) = 0 s1 = 9278863, s2 = 9684431, d1 = 85, d2 = 111 Dl.O(d1) = 221572431,218700042,218700041,221572430,274399701,265714456,226172797,274549893,226172799 Dl.O(d2) = 68112140,55715816,256807014,27259778,20325678,14586774,10036907,10036906,6744355,6744356,10263719,14926006,20824110,21628653,27259792,20325699,14586785,10036913,6595987,4132243,4132242,6595985,10036908,7661204,7661207,10789877,10789878,10045654,10045655,10049151,6603492,6603494,5412821,5412822,7660509,5412816,5412817,7660526,6603057,4136471,2474290,2474286,2473683,1429910,1429908,2473649,4134888,2473862,2473864,4135632,4766697,7535377,10278743,14944255,14944286,14944287,254642834,22467144,16299177,15591379,15591377,21621768,23838599,17498721,12338403,12338405,10785746,7436869,4699254,2831207,2831209,4699182,4699131,4699134,7436679,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,6074047,6074053,7481556,4728102,2848648,2848650,4728111,7481576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 9278863, s2 = 9684431, dlinesl.size( ) = 2 s1 = 9278863, s2 = 9684431, "passes" = passes Sat Dec 09 04:19:18 2017: s1 = 9278863, Dl.E( ) = 114, 4.51e-05 seconds used appending s1 = 14293962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12827504, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13935671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12325575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12828236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12828236, s2 = 16235616, int(edited[s2]) = 0 s1 = 12828236, s2 = 16235616, d1 = 153, d2 = 125 Dl.O(d1) = 243665187,243920350,244158299,244379894 Dl.O(d2) = 240068208,239515171,266339762,237547865,236758836,235892785,265732486,232755598,231489941,230077730,264778608,224596276,263926762,212126174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12828236, s2 = 16235616, dlinesl.size( ) = 36 s1 = 12747909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12474833, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12236341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12236341, s2 = 10565118, int(edited[s2]) = 0 s1 = 12236341, s2 = 10565118, d1 = 0, d2 = 22 Dl.O(d1) = 207300847,212173174,216152838,219449981,222234836,224625574 Dl.O(d2) = 212173171,274200435,216152851,219449995,222234843,224625579,222234851,219449999,219450000,222234853,224625584,226701484,228510908,265878719,226701479,224625576,222234840,265011565,212173178,207300851,207300848,264782837,219449983,222234838,265407751,219450002,265407753,224625587,265219007,265011563,216152839,274654154,226701476,274518615,231512611,274825474,274752561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12236341, s2 = 10565118, dlinesl.size( ) = 2 s1 = 12236341, s2 = 10565118, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12236341, Dl.E( ) = 24, 6.91e-06 seconds used appending s1 = 11286777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286777, s2 = 12275830, int(edited[s2]) = 0 s1 = 11286777, s2 = 12275830, d1 = 12, d2 = 3 Dl.O(d1) = 262562742,116520047,261865447,261538022,102423445,116520047,130357804,143683554 Dl.O(d2) = 256725618,255316312,8600407,5588601,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941764,5935150,3711077,2222318,2222319,3711081,5935166,4268214,2551857,2534258,2222270,2222269,3710818,2222180,2222177,1289081,1289085,2222205,3710862,5934779,9062845,9082062,5940046,3714259,2224149,1290100,736404,736403,1290093,2224121,3714217,4269118,2552402,1470320,1470321,2552412,4269140,5380525,3308588,3308587,2224365,1290216,736476,418652,418651,418751,736659,1290514,736741,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226790,2540125,2540126,4237781,4237782,4277424,4277425,5587142,8598394,12662718,10288157,6763143,6763144,10288159,10334230,6802013,6802011,8326519,8326516,5584509,3464763,3464760,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588627,3724239,3724238,5587293,8598596,9063455,8050917,8050918,6758573,6758574,5588018,5588019,8599712,12664201,9086643,9086642,13305021,14977993,13310469,13310468,10305732,6777402,5949202,5949201,9093660,13271828,10357204,6821213,4279034,4279033,6821207,10357196,12330476,8329685,5375986,3305735,3305736,5375989,4035632,4035631,3467124,3467125,5588578,3721524,2228360,2228362,1399948,796830,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286777, s2 = 12275830, dlinesl.size( ) = 12 s1 = 12828412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12828600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12828622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11062725, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15986757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15986757, s2 = 14322159, int(edited[s2]) = 0 s1 = 15986757, s2 = 14322159, d1 = 31, d2 = 37 Dl.O(d1) = 2650487,4400151,254733711,4435015,7046721,10669429,15433384,21377817,18108862,12840820,8732137,8732135,12840813,12840803,12840801,12322469,8323280,5370723,3301649,1941846,1109232,1109231,1941841,1109230,622515,622514,1109228,622517,345982,189735,103602,103601,189733,280432,154813,84894,46481,46478,46522,254078051,254098277,886554,886947,500458,280669,280668,267825874,2692755,4481656,4474875,2688385,2688384,4474874,254505067,7111223,7111224,7189015,4529130,4529131,7107654,7107653,7189302,254747207,254739447,4474873,2688383,1557220,1557219,2688381,4474868,7107685,10757979,10757980,255412951,10757993,7107690,7107689,10757990,15553983,10758008,10758009,15554003,21577111,15706815,10873211,7189017,7189018,255053137,21762799,28848730,25796191,21577094,15553973,10873625,7189249,4529267,2722604,2722602,4529263,7189243,10873614,15707477,21763716,21763708,15707464,15707463,19125828,19125827,13655816,13655815 Dl.O(d2) = 10874025,10874026,15707982,21764262,29059696,37608773,47513438,47513310,37608682,37608681,257475591,71612706,85177202,71612665,71612666,85177203,258085465,258085467,259334957,259334955,85177373,71612829,58893070,47513422,47513421,58893068,71612826,259334965,99098943,113086124,259643765,77311062,64162888,64162887,77311059,91230331,100869815,114920337,126939136,113086251,113086250,113086077,113086076,126939142,113383085,99383344,85443030,71858466,59120573,59120574,71858118,258722315,85443002,271551440,113383076,259675848,91229348,77309966,71858457,59120565,47722811,37801712,37801713,47722567,59120255,71858120,77309251,91228737,85443428,71858900,71858901,85443431,85443702,77310827,77310828,85442921,71858319,71858320,85442923,77309969,64161771,52310373,52310372,59120440,59120439,258098767,257774585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15986757, s2 = 14322159, dlinesl.size( ) = 2 s1 = 15986757, s2 = 14322159, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15986757, Dl.E( ) = 38, 1e-05 seconds used appending s1 = 14322160, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14322166, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12240665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12240665, s2 = 11004660, int(edited[s2]) = 0 s1 = 12240665, s2 = 11004660, d1 = 2, d2 = 6 Dl.O(d1) = 58593852 Dl.O(d2) = 50397589,40362485,31667966,24158531,17791236,15495683,15495684,21503325,22540907,21502835,15495265,12310003,8314643,8314642,12309998,17290760,12169688,8201687,8201686,12169685,17290755,23576802,28991291,28762950,28762951,31057611,23897237,17551685,12381283,8366470,8366472,12381292,17551702,23576667,17265144,12144747,12144748,15715012,15715011,21774237,29072235,28229647,28229646,36723403,28229651,28229650,29696289,22342666,22342664,17433311,12287648,8298329,5353382,3290201,3290202,5353385,4722772,4722771,7472968,7314122,7314123,11039711,8314623,5364990,3300430,3300431,5368485,8319601,12316887,17470310,23793303,23793302,31279130,38262303,29696446,22342809,16193954,11256996,7472986,4722777,2845502,1650874,938865,529199,254124391,1650876,254354589,7472994,254808284,22342825,21162500,21162501,28379973,22368814,16214391,11271382,7482199,7482200,11271386,16214393,22368817,28381439,28381438,36795485,28298361,28298363,21983788,15888000,15887999,15109829,15109830,21036220,28233381,36727060,36795447,28298291,28298290,28298431,21090516,21090517,28298352,31070567,23586936,23586937,31070569,39748258,36795347,28298154,21090275,15149337,10448183,6887809,6887808,10448178,15149333,21090270,20193321,14488875,14488876,20193325,21090345,28298257,28298412,21090501,15149503,10448268,6887852,6887853,10448256,15149479,15149347,10448234,6887835,4642467,4642464,7349948 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12240665, s2 = 11004660, dlinesl.size( ) = 8 s1 = 14322204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294661, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11412513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412513, s2 = 11035128, int(edited[s2]) = 0 s1 = 11412513, s2 = 11035128, d1 = 76, d2 = 64 Dl.O(d1) = 182955721,265128151,223659171,265812747,264710833,205993151,199846662,273963300,262139659,139064648,125726144,111908844,272102058,257404379 Dl.O(d2) = 259048413,255854178,21151065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412513, s2 = 11035128, dlinesl.size( ) = 56 s1 = 12829136, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12829136, s2 = 11001544, int(edited[s2]) = 0 s1 = 12829136, s2 = 11001544, d1 = 17, d2 = 29 Dl.O(d1) = 174430653 Dl.O(d2) = 260328724,78676520,257244502,55493409,55493408,255292960 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12829136, s2 = 11001544, dlinesl.size( ) = 24 s1 = 12242629, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15303368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14294858, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14294858, s2 = 11053286, int(edited[s2]) = 0 s1 = 14294858, s2 = 11053286, d1 = 32, d2 = 24 Dl.O(d1) = 1035073,583195,325979,179987 Dl.O(d2) = 268906990,22348208 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14294858, s2 = 11053286, dlinesl.size( ) = 2 s1 = 14294858, s2 = 11053286, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14294858, Dl.E( ) = 68, 4.32e-05 seconds used appending s1 = 14120035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11303143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11303143, s2 = 11017858, int(edited[s2]) = 0 s1 = 11303143, s2 = 11017858, d1 = 29, d2 = 13 Dl.O(d1) = 255540048,71402138,255540050 Dl.O(d2) = 255047030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11303143, s2 = 11017858, dlinesl.size( ) = 24 s1 = 11043843, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059921, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294787, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 202837, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 202837, s2 = 16361696, int(edited[s2]) = 0 s1 = 202837, s2 = 16361696, d1 = 0, d2 = 17 Dl.O(d1) = 4824536 Dl.O(d2) = 11464377,11464378,16399698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 202837, s2 = 16361696, dlinesl.size( ) = 16 s1 = 14295342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14295342, s2 = 9453441, int(edited[s2]) = 0 s1 = 14295342, s2 = 9453441, d1 = 29, d2 = 28 Dl.O(d1) = 1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,5091684,3089940,3089939,5091670,7998309,11948388,11868774,254383682,17033665,254570030,254571294,23365809,23365808,23243773,16976747,16976746,23243772,29938980,22575988,16392971,11409238,7581363,7581364,11409240,11895509,7954426,7954428,11895513,11684316,7791512,4940150 Dl.O(d2) = 261854957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14295342, s2 = 9453441, dlinesl.size( ) = 26 s1 = 12830282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12642445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12642445, s2 = 14162305, int(edited[s2]) = 0 s1 = 12642445, s2 = 14162305, d1 = 81, d2 = 83 Dl.O(d1) = 46935859,256692704 Dl.O(d2) = 255556683,12277283,8291368,5349060,3287495,3287496,5349064,7574289,7574290,11399211,14102161,14102163,19672290,255681880,31279549,39954255,47332611,50104876,256526627,31403704,35368849,28800471,21534241,21534242,22760725,30147811,38729376,48650591,60047242,72786061,86382174,83968061,258628049,57745487,46394837,36534101,28067461,20896362,20896361,28067460,31165012,23676719,17356644,12227014,12227013,17356642,23676713,28368473,28368472,36865983,46745706,36864849,36864848,46745781,39846867,33075111,32978899,25256019,25256018,32978896,30773886,23350423,17083125,11995383,11995384,17083130,255130910,29478506,22141275,16023785,16023786,21149770,21149771,28366064,33929242,28366056,28366055,36864250,36866175,36866177,32978885,31165387,23677150,23677152,28370057,29549909,22206143,21150040,21150045,21154160,25344987,21150842,15196594,10481762,10481764,15196603,21150798,17356726,17356724,23676522,17356520,12226944,12226942,17356471,17356470,23676443,21151378,21151377,28368035,28368382,256301211,255018655,6911328,4340581,4340582,6911330,6911206,4340519,4340522,6911218,10482684,15198347,21153499,23220312,23220294,16947435,16947436,16950236,11862984,7928146,7928148,11862995,16949334,16949331,23217752,23217749,20870415,20870414,28038432,23218665,16946073,16946072,13795722,9460025,6202706,3882348,3882347,6202699,9460008,6910978,6910980,6545570,6545573,9959295,14474782,16946167,15906997,15906994,21153109,28370029,30642584,23219562,16946809,11860708,11860709,12315785,12315455,8318712,8318713,12315457,17468290,23801134,23219404,23219403,30642484,23220358,16947481,11861155,7927096,5039269,5039268,7927094,11861150,16947473,16946315,11860391,11860388,7927169,7927170,11861288,13640251,13640252,16950037,11862837,11580146,10323379,10323378,14992301,20896364,268600267,28067463,36534102,28067465,28067466,36534107,257393085,46394840,46394839,258003893 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 3 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12830380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12751363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12251559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15315566, s2 = 13899346, int(edited[s2]) = 0 s1 = 15315566, s2 = 13899346, d1 = 54, d2 = 57 Dl.O(d1) = 168773421,179053971 Dl.O(d2) = 18529362,25071736,32768580,41684822,51996167,63811416,76918199,90793160,104969277,119162312,132995022,146226417,158599247,169963433,180137787,189087555,196837877,203469100,209022258,213580633,213580637,213580636,213580629,264342219,196837873,196837874,196837882,196837883,203469105,209022263,213580634,217313698,220422488,223062998,225340441,227319001,229047934,230574097,231934223,266274313,235277243,236194883,237030906,237794685,238488805,239124406,239708873,240249359,240750020,241213832,267064249,267139027,242745088,274956106,267064251,241213835,240750021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15315566, s2 = 13899346, dlinesl.size( ) = 12 s1 = 14322690, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12831138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11390079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11286655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286655, s2 = 11118550, int(edited[s2]) = 0 s1 = 11286655, s2 = 11118550, d1 = 3, d2 = 8 Dl.O(d1) = 116399901 Dl.O(d2) = 139678077,126305588,112441004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286655, s2 = 11118550, dlinesl.size( ) = 8 s1 = 11092241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11092241, s2 = 15311869, int(edited[s2]) = 0 s1 = 11092241, s2 = 15311869, d1 = 4, d2 = 67 Dl.O(d1) = 39820638 Dl.O(d2) = 66889968,54632358,43889189,256407840,26627778,255592262,19817054,19817055,25128643,18576170,18576169,25128641,18926879,18926880,25539027,19815480,14194043,9757646,8415651,5431098,3338620,3338618,5431086,8415617,12447322,17627158,19236053,19236050,24262015,24262012,31774295,40469164,32839430,25134135,18580456,13204112,9001278,9001280,13204124,18579660,18579658,25132700,19678489,18580631,18580633,18579827,18579828,25133199,22678266,22678268,21194426,15230772,15230768,21194407,28416446,36914243,38276003,33301734,25539566,18927255,13493200,9231462,9231463,13493204,18927261,25539578,24629798,24629799,31640303,24133204,22108997,22108995,21156255,21156256,16834962,16834964,23088657,16834869,11772719,7859953,7859954,11772725,16834889,19129736,25769624,33558977,29322101,21993142,15895253,15895254,15895241,15895242,21993313,29322303,29753167,33966914,268496718,52072337,53503043,43023555,43023554,33998699,29318750,21990105,21990106,256150944,33998713,26156862,19457663,13924934,9557956,6271723,3926845,3926844,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293938,7293934,11017513,15892775,21302645,26160448,25406252,18816040,15541985,15380305,15380306,11017480,11017481,15892723,21989626,26163111,19462759,13928488,9560169,6273059,6273058,9560166,10395696,6852497,4300351,2571087,2571085,4300345,6852488,9562461,9560188,9560190,13928533,13744151,9416686,6852475,4300340,4300341,3814841,3814844,6097295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11092241, s2 = 15311869, dlinesl.size( ) = 60 s1 = 12832280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11336123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336123, s2 = 3717065, int(edited[s2]) = 0 s1 = 11336123, s2 = 3717065, d1 = 22, d2 = 32 Dl.O(d1) = 128735027 Dl.O(d2) = 258215135,87076526,101072615,114829545,128729040 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336123, s2 = 3717065, dlinesl.size( ) = 32 s1 = 14296574, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14296574, s2 = 15888002, int(edited[s2]) = 0 s1 = 14296574, s2 = 15888002, d1 = 12, d2 = 9 Dl.O(d1) = 14233684,255731819,31808109,268264948,17911112,24293163,257688179,258298422 Dl.O(d2) = 32166254,24580899,18137892,12861924,12861925,13031599,13031598,16990821,23253641,30669039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14296574, s2 = 15888002, dlinesl.size( ) = 2 s1 = 14296574, s2 = 15888002, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14296574, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 12754165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12754165, s2 = 14873152, int(edited[s2]) = 0 s1 = 12754165, s2 = 14873152, d1 = 1, d2 = 1 Dl.O(d1) = 31067092,23582867,23582866,31067090,39745229,36460532,36460533,39248512,30652671,30652670,36460518,36460517,30082982,22701108,22701106,28544806,21321191,21321189,28001054,20836323,20836324,21321197,17270428,12149259,12149261,17270436,21893215,17822025,12618329,12618327,17822016,24191136,31636196,24129083,24129082,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,20836423,28001175,28001174,36459947,28916054,21641700,21641699,28916053,23582844,23582845,31067055,255372724,36460543,36460544,28001794,20836963,14937839,10273535,6751519,6751518,10273529,14937829,14937746,10273467,10273466,14937742,20836842,28001652,28001701,36460495,31067033,31067034,36459477,28000792,20836142,20836143,20836344,28001083,36459508,28000840,20836185,14937269,14937263,10273248,6751338,4230478,2529443,1457687,1457685,2529437,4230465,6751323,10273220,14937395,11494513,10604179,10604180,15350245,21321129,28544702,28001119,20836807,14937733,14937734,20836826,14937849,10273543,10273544,14937858,20836989,28001206,36459989,36460425,38483374,38483371,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459666,46312456,57656806,57657320,57656719,57656714,46312345,40377526,31683953,256546699,36460358,43033844,33976919,33976917,38464367,38464369,46312275,47867372,59262947,57656770,57656771,70347100,57656792,46312446,46312448,57656797,57860277,70561951,70561943,57860264,46504026,46504027,46313153,46313150,57657325,257082106,58402488,47030598,37142153,37142152,47030596,256534838,59263001,59263000,61743747,50265335,255091138,268086786,50265334,59263064,47867499,37949422,31559266,24054622,24054621,31559261,40245549,40245598,40245599,50265314,61743679,50357490,50357488,40330627,31641708,31641707,40245478,50265162,50265298,50265300,60346212,50265379,40245662,31559334,30595499,23176571,16912113,11835807,7910054,7910053,11835805,16912108,20208825,20208824,27109645,30595517,23176584,16912119,11835809,7910055,7910056,11835811,16912122,23176589,255469406,30595520,30595521,39192746,49120619,60521400,60222549,48825623,48825622,255908920,53511070,43032548,33975583,26136737,19440866,19440865,26136736,33975452,33975476,26136644,19440784,19440783,26136642,33975473,43032438,268517073,19441839,13912068,13912069,19441840,26136451,19440608,13911101,9547379,6264061,3921611,3921610,6264059,6264251,3921725,3921712,2347526,2347525,2347554,2347555,3921775,6264325,9547704,13911084,9548134,9548133,9548273,13911558,9547725,6264289,3921749,2347545,2347546,3921755,3921760,6264302,6264469,6264383,6264217,3921696,2347521,2347522,3921701,3921940,3921876,2347608,2347607,3921868,6264133,3921648,2347497,1359757,1359756,1359775,1359774,2347539,3921736,6264266,9547693,9548018,9547266,254458771,3921583,6264008,9547270,13910978,268315881,33975172,43032213,43032260,33975259,26138340,26136596,255705455,19441643,26137757,256174091,19440911,13911341,13911340,19440909,17390437,17390436,23714286,31202055,256420313,29966782,256510199,27109395,20208616,20208615,27109394,35199244,31202002,26136388,19441634,19441635,19859808,19859807,256204167,31641628,31641629,40330508,43944806,43944805,54687252,48183322,44577853,35199600,29707201,22352058,22352059,25304942,25304941,255761518,38273858,29707145,22352015,16201082,11262184,11262185,16201084,20208799,20208798,256032328,27109178,255336349,9978329,9978330,14501079,20208432,20208447,20208446,22352275,22352274,29707407,38274092,268830098,27109218,20208465,14501104,14501105,16201282,16201368,22352386,27109267,20208507,14501138,11014641,7291570,7291571,11014647,14501013,9978294,6558451,6558452,9978299,14501019,20208351,27109081,27109103,27109102,35198889,35198890,44577240,44577384,35199068,27109249,27109250,29924881,29924880,29707423,29707424,29707367,22352238,22352237,22352242,22352241,29707373,35198823,27109051,27109052,35198828,44577169,44577376,44578018,44578017,48183434,48183435,48183508,48183515,38274149,38274150,47806089,37882440,29313552,21985486,21985487,29313556,35198819,27109048,20208324,14501002,14501001,20208323,20208343,27109069,35198851,44577197,38274018,29707338,22352220,22352221,29707342,38273946,38273947,33977535,33977536,35198844,27109061,27109062,35198847,44577194,47233664,47233663,48967555,47233669,37324902,28788696,21524724,21524725,28788697,37324904,30589771,30589770,24291330,17909557,12688149,12688148,17909553,24291323,31806027,40501184,35198840,35198841,33977551,26138597,19442393,19442392,26138569,19442377,13912551,9548418,9548419,13912553,19442382,26138576,33977525,43034440,44577674,55424851,67764702,60362663,60362664,60362653,55424546,55424547,53512526,53512527,49116566,49116564,60362661,255798174,55424417,58774138,47386802,37479067,256273060,47386894,47386896,43034408,43034409,46352839,46352840,47386844,37479100,28937129,21658631,15622917,10809480,10809481,15622919,21658637,28937140,30590308,23171887,23171888,28937113,268619545,37479120,37479121,47386872,58774194,67764695,67764694,57702487,57702486,48242062,257011879,255966329,2317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Dl.O(d2) = 31067092,23582867,23582866,31067090,39745229,36460532,36460533,39248512,30652671,30652670,36460518,36460517,30082982,22701108,22701106,28544806,21321191,21321189,28001054,20836323,20836324,21321197,17270428,12149259,12149261,17270436,21893215,17822025,12618329,12618327,17822016,24191136,31636196,24129083,24129082,29923209,36636769,38470928,29912877,29912878,27997353,20836474,20836473,28001255,28001641,28001642,36459937,36459971,28001192,20836424,20836423,28001175,28001174,36459947,28916054,21641700,21641699,28916053,23582844,23582845,31067055,255372724,36460543,36460544,28001794,20836963,14937839,10273535,6751519,6751518,10273529,14937829,14937746,10273467,10273466,14937742,20836842,28001652,28001701,36460495,31067033,31067034,36459477,28000792,20836142,20836143,20836344,28001083,36459508,28000840,20836185,14937269,14937263,10273248,6751338,4230478,2529443,1457687,1457685,2529437,4230465,6751323,10273220,14937395,11494513,10604179,10604180,15350245,21321129,28544702,28001119,20836807,14937733,14937734,20836826,14937849,10273543,10273544,14937858,20836989,28001206,36459989,36460425,38483374,38483371,36460302,28001535,28001534,32121074,32121075,40895172,36459671,36459666,46312456,57656806,57657320,57656719,57656714,46312345,40377526,31683953,256546699,36460358,43033844,33976919,33976917,38464367,38464369,46312275,47867372,59262947,57656770,57656771,70347100,57656792,46312446,46312448,57656797,57860277,70561951,70561943,57860264,46504026,46504027,46313153,46313150,57657325,257082106,58402488,47030598,37142153,37142152,47030596,256534838,59263001,59263000,61743747,50265335,255091138,268086786,50265334,59263064,47867499,37949422,31559266,24054622,24054621,31559261,40245549,40245598,40245599,50265314,61743679,50357490,50357488,40330627,31641708,31641707,40245478,50265162,50265298,50265300,60346212,50265379,40245662,31559334,30595499,23176571,16912113,11835807,7910054,7910053,11835805,16912108,20208825,20208824,27109645,30595517,23176584,16912119,11835809,7910055,7910056,11835811,16912122,23176589,255469406,30595520,30595521,39192746,49120619,60521400,60222549,48825623,48825622,255908920,53511070,43032548,33975583,26136737,19440866,19440865,26136736,33975452,33975476,26136644,19440784,19440783,26136642,33975473,43032438,268517073,19441839,13912068,13912069,19441840,26136451,19440608,13911101,9547379,6264061,3921611,3921610,6264059,6264251,3921725,3921712,2347526,2347525,2347554,2347555,3921775,6264325,9547704,13911084,9548134,9548133,9548273,13911558,9547725,6264289,3921749,2347545,2347546,3921755,3921760,6264302,6264469,6264383,6264217,3921696,2347521,2347522,3921701,3921940,3921876,2347608,2347607,3921868,6264133,3921648,2347497,1359757,1359756,1359775,1359774,2347539,3921736,6264266,9547693,9548018,9547266,254458771,3921583,6264008,9547270,13910978,268315881,33975172,43032213,43032260,33975259,26138340,26136596,255705455,19441643,26137757,256174091,19440911,13911341,13911340,19440909,17390437,17390436,23714286,31202055,256420313,29966782,256510199,27109395,20208616,20208615,27109394,35199244,31202002,26136388,19441634,19441635,19859808,19859807,256204167,31641628,31641629,40330508,43944806,43944805,54687252,48183322,44577853,35199600,29707201,22352058,22352059,25304942,25304941,255761518,38273858,29707145,22352015,16201082,11262184,11262185,16201084,20208799,20208798,256032328,27109178,255336349,9978329,9978330,14501079,20208432,20208447,20208446,22352275,22352274,29707407,38274092,268830098,27109218,20208465,14501104,14501105,16201282,16201368,22352386,27109267,20208507,14501138,11014641,7291570,7291571,11014647,14501013,9978294,6558451,6558452,9978299,14501019,20208351,27109081,27109103,27109102,35198889,35198890,44577240,44577384,35199068,27109249,27109250,29924881,29924880,29707423,29707424,29707367,22352238,22352237,22352242,22352241,29707373,35198823,27109051,27109052,35198828,44577169,44577376,44578018,44578017,48183434,48183435,48183508,48183515,38274149,38274150,47806089,37882440,29313552,21985486,21985487,29313556,35198819,27109048,20208324,14501002,14501001,20208323,20208343,27109069,35198851,44577197,38274018,29707338,22352220,22352221,29707342,38273946,38273947,33977535,33977536,35198844,27109061,27109062,35198847,44577194,47233664,47233663,48967555,47233669,37324902,28788696,21524724,21524725,28788697,37324904,30589771,30589770,24291330,17909557,12688149,12688148,17909553,24291323,31806027,40501184,35198840,35198841,33977551,26138597,19442393,19442392,26138569,19442377,13912551,9548418,9548419,13912553,19442382,26138576,33977525,43034440,44577674,55424851,67764702,60362663,60362664,60362653,55424546,55424547,53512526,53512527,49116566,49116564,60362661,255798174,55424417,58774138,47386802,37479067,256273060,47386894,47386896,43034408,43034409,46352839,46352840,47386844,37479100,28937129,21658631,15622917,10809480,10809481,15622919,21658637,28937140,30590308,23171887,23171888,28937113,268619545,37479120,37479121,47386872,58774194,67764695,67764694,57702487,57702486,48242062,257011879,255966329,2317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33305270,37419304,37419305,38157647,29591418,22242954,22242955,29591423,32589460,24928059,24928060,32589461,41466320,51735085,41466298,37014133,28514785,21293755,15327463,10586427,10586428,268084892,267869441,2409216,1394078,792805,792807,1394080,2409223,4020620,6408812,9746535,9747364,11341969,11341971,14182905,9750030,9750029,9747769,6409576,4021103,2409473,2409472,4021094,6409558,6409786,4021233,2409542,1394230,792870,449007,449010,792880,1394246,2409573,4021305,6409911,9745718,9743541,6406924,4019531,2408639,2408640,1393935,1393939,2408951,4019547,6406953,6407635,6407633,9744669,9746513,6408793,6408778,6408776,9746490,14177454,19792950,19785469,19785465,26590558,19854246,19802823,19795787,14179530,9747842,6409614,4021128,2409486,1394201,1394205,2409500,4021153,6409657,9747922,6409815,4021248,4021250,6407907,6409875,4021284,4021282,6409870,9748232,14180091,19796516,23752705,17426878,12282966,8295162,5351355,3288885,3288886,5351347,8295152,9744327,14174135,19788468,23749473,17426073,17426072,17426326,19052904,14178432,9747160,9747161,14178461,19794299,15927268,15927267,14594309,10042286,6599466,6599471,10042320,14173607,9743970,9743966,14173589,19787735,26592962,21543175,21543171,18740070,18740071,17141626,12047133,12047138,17141654,23417645,17760693,17760689,24122319,19793454,14177819,14177824,17897945,12678232,12281767,12281764,17425136,13708372,9389303,6151392,6151398,9389357,13708483,12282689,8295001,8295000,12282685,17426503,23752326,31235475,38408400,34585099,34585100,33860363,33860361,32557867,24907287,24907290,30606800,34595884,34595883,37777805,29216852,29216851,29216890,26609071,19801391,19801390,26609064,27209084,31627877,24122512,17760793,12567934,8522603,8522601,12567924,17760766,24122455,19853779,19853780,22562222,21714958,18391852,18391855,15881521,11009042,11009043,15881526,21976148,26593566,19788269,17022981,17022978,23282116,18928344,13493896,9231854,9231850,13493876,18928302,16300516,16300517,11786126,11786123,16852688,17912626,17912629,24294825,22167099,16044231,16044227,12024744,12024743,14551441,10012732,10012731,14551437,14553502,20283095,27211352,22052436,21898905,21898482,15819749,15819748,21898449,21898423,15945885,15945883,21903256,21903255,21901167,15821706,15821704,11803915,11803913,14171939,9742851,6406501,6406504,9742865,14171970,15638038,15638039,17760004,14552725,14552728,20282001,23186919,20246183,20246185,27157823,23020618,16780238,16780235,23020608,30425505,37775215,35334534,29213259,29213240,29213238,23396345,23396343,26599530,19793367,19793365,15819886,10963450,7257079,7257080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12754165, s2 = 14873152, dlinesl.size( ) = 2 s1 = 12754165, s2 = 14873152, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12754165, Dl.E( ) = 2, 8.11e-06 seconds used appending s1 = 14873151, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11044499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044499, s2 = 8390688, int(edited[s2]) = 0 s1 = 11044499, s2 = 8390688, d1 = 19, d2 = 34 Dl.O(d1) = 257133387 Dl.O(d2) = 258830606,73353371,259454739,259251992,81566459,68076668,68076669,81566461,258625834,95600024,100948885,258830606,60608372,60608373,256474652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044499, s2 = 8390688, dlinesl.size( ) = 26 s1 = 14323028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323028, s2 = 11139542, int(edited[s2]) = 0 s1 = 14323028, s2 = 11139542, d1 = 12, d2 = 8 Dl.O(d1) = 160653979,260664258,136264408,139523953,260221180,136264418,149528491,137378761,270995792,133056180,119226023,119226024,109455212,95200843,81144106,81144107,95200845,91186924,91186925,91186933,270475988,90854114,76975547,63864032,63864033,76975549,90854116,105033306,109455210,109455211,119645726,119226017,105033301,90854112,271078004,41729726,52044591,63864035,76975554,90854123,105033311,105033309,105033308,119226026,122289428,133518649,133056181,126717220,112865942,98878713,98878712,93446658,79315482,79315481,91186927,77267662,77267663,91186929,271365270,259183296,105408876,91186932,77267664,77267665,257862621,53884490,65951334,259109841,67739598,258538061,95260101,107874966,122289436,126717218,112865941,112865940,270352940,79315473,65951326,53884483 Dl.O(d2) = 268526929,43360304,257862617,256187777,19648138,255717729,256707773,258480097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323028, s2 = 11139542, dlinesl.size( ) = 8 s1 = 12832746, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14323101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15315691, s2 = 5928900, int(edited[s2]) = 0 s1 = 15315691, s2 = 5928900, d1 = 77, d2 = 71 Dl.O(d1) = 267970830,30772797,23349407,17082218,11994521,8046311,5136429,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,6437036,255318931,19846658,19846657,14243668,9791537,6437094,4037956,2419635,1400628,797188,451863,451864,797192,1400635,2419646,4037975,6437116,9791030,9791032,14242880,9845821,254968619,8270984,5337156,5337155,8270977,255166137,15128810,15128809,21062008,19856438,14225768,9779584,6429943,6429945,9779518,6429910,4033893,2417425,1399417,1399415,2417418,4033870,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,9786091 Dl.O(d2) = 237759553,236991070,274683594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15315691, s2 = 5928900, dlinesl.size( ) = 12 s1 = 12833032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11316321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11316321, s2 = 8052039, int(edited[s2]) = 0 s1 = 11316321, s2 = 8052039, d1 = 38, d2 = 0 Dl.O(d1) = 272322995,257475876,256896166 Dl.O(d2) = 5995639,9160802,13399501,18808949,25396598,33134324,42085806,52433999,64294796,257586594,47954269,47954270,59345568,72079402,73555709,73555702,257612786,39479707,30874958,30874959,39479711,39479810,39479811,39479611,39479609,49408989,60809237,49409029,39479640,30874929,23445279,17170331,12072899,8118396,8118398,12072905,17170337,23445286,30874940,30874890,30874888,39479597,49408984,49408908,39479531,30874848,23445239,17170309,17170308,23445237,30874845,39479526,49408901,48803538,48803539,49408919,39479536,30874853,23445241,23445242,30874858,39479539,49408926,39479556,30874870,30874871,39479562,49408947,52048533,41733935,41733936,52048536,60783904,49383337,49383336,256488975,23445347,17170367,12072919,8118408,5200960,3172944,3172943,5200956,8118392,12072896,17170319,23445260,30874897,39479616,49408996,60809244,60809516,49409277,39479839,30875032,30875033,39479844,49409082,39479673,39479672,41734064,52048640,49408914,49408912,49408959,39479574,39479575,39479660,39479661,49409067,49409235,49408891,39479512,39479513,41733612,32813610,31299455,31299454,39973854,41733877,32813368,32813367,37064882,37064881,32813587,31299442,255562041,12323763,8324513,8324512,12323760,17479230,23813347,31299423,39973807,49989848,52048500,52048374,41733697,32813205,30875043,23445339,23445341,25110569,18560968,18560969,25110573,32813431,32813594,32813596,39479761,39479581,30874882,30874883,39479569,32813339,25110512,18560936,13189358,8991147,8991146,13189356,18560851,25110411,32813229,41733725,41733726,52048392,52048695,52542767,42183978,33223991,33223992,25475992,18874512,18874510,25475988,33224014,41733896,32813388,25110541,256105105,40502105,31806922,24292159,24292160,31806924,35370919,35370920,41733648,257174093,44360694,257174095,257174075,32812888,25110137,18560661,17143942,12048683,12048684,17143944,23420453,20314801,20314800,20314797,14578863,14578862,20314795,256238625,30850755,39454675,256639905,25405164,25405163,33145331,31806927,24292163,24292164,268692083,25405129,18815250,18815251,256124365,42099486,44795492,52452251,268744521,33145251,42099420,44795675,44795676,55703229,68100856,55703206,44795641,35370879,35370882,42099390,42099389,43834937,43834938,54580076,60853381,49451778,39519630,39519631,49451780,47276870,41508111,41508110,51783057,63565502,73188286,73188287,66839418,54580149,43835033,34562146,34562147,43835035,54580153,51783067,41508120,32624868,24957377,18440321,13098951,8927069,8927068,13098947,18440311,24957358,32624841,41508066,39400807,30797634,30797635,39400810,49329060,52452231,49037223,39107390,39107391,39130437,30531911,30531912,39130438,49060239,49037286,39107466,33623238,33623237,42651481,47381861,54667544,43924994,34651682,34651683,43924997,54667549,53491154,43012831,43012829,53491151,65514743,60441200,60441202,68100838,73188271,60441206,60441207,257667502,41508091,41508092,39107439,30510460,23095138,23095137,30510457,255960775,11776204,11776203,16839705,23095118,30510424,39107383,49037206,60441223,65514713,53491114,43012792,33955884,26118777,26118778,33955885,43012794,53491120,54667636,43925128,43925127,49037191,39107386,39107387,49037215,49037194,49037179,43925223,34651943,26660430,19845943,19845944,26118765,26118763,33955864,43012758,34651948,34651949,32813037,32813036,41733555,39107436,30510454,23095134,16839715,11776210,7862516,7862517,11776215,16839729,23095158,30510491,33955941,26118805,19425384,13898741,13898740,19425380,26118797,33955922,26660629,19846101,19846099,26660186,19845767,19845765,26660181,34651700,26660688,26660687,29496762,29496763,38059814,33955893,33955894,43012812,34651801,34651800,43925091,43012764,43012763,43012730,33955837,26118750,26118751,33955845,34652055,43925318,54667754,43925594,34652251,26660693,26660694,34652255,31424623,23934046,17591255,17591254,23934044,31424619,255452574,33664593,25858364,19201001,13713158,254350560,25858362,33664590,34651764,26660323,19845862,19845784,14218099,14218101,19845790,19845803,19845802,19846050,14218264,9774846,6427086,4032257,4032256,6427083,9774841,14190550,14190549,19811170,17922031,17922030,24305937,31822539,40519533,43925684,42695365,33664599,25858370,19201004,13713162,9392455,6153184,6153186,9392459,13713171,19201017,25858395,255076990 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11316321, s2 = 8052039, dlinesl.size( ) = 22 s1 = 12755227, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15295237, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14323198, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323198, s2 = 11469556, int(edited[s2]) = 0 s1 = 14323198, s2 = 11469556, d1 = 60, d2 = 24 Dl.O(d1) = 256163408,14034153,14034154,269102690,53806834,258475555,93367524 Dl.O(d2) = 205507955 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323198, s2 = 11469556, dlinesl.size( ) = 8 s1 = 11241883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11241883, s2 = 10777219, int(edited[s2]) = 0 s1 = 11241883, s2 = 10777219, d1 = 8, d2 = 49 Dl.O(d1) = 84718314 Dl.O(d2) = 141084074,272559003,261724471,99841356,258756501,72294167,270842203,127731343 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11241883, s2 = 10777219, dlinesl.size( ) = 22 s1 = 12833328, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10557237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1265401, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14882187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14882187, s2 = 13375122, int(edited[s2]) = 0 s1 = 14882187, s2 = 13375122, d1 = 23, d2 = 27 Dl.O(d1) = 257011697,11830950,7906412,7906413,11830951,16905913,23168709,23168708,23167678,23167594,16904538,16904540,23167597,29202317,23167904,16904753,11830205,7905979,6799244,6799245,10331091,7906370,7906371,11830877,16905789,19814030,23167527,21890997,21890995,29204056,23169552,16906115,11831109,11831110,16906116,255061101,7253306,4574232,4574230,7253297,10958358,15414215,21400732,28641499,37156738,28641437,28641438,28641785,28641630,21400868,21400869,254454080,47047862,47047863,37157312,28641654,24193028,22000719,255067673,7298378,7298379,11023458,255442117,29331306,37899907,32778388,25080982,25080983,32778389,32777865,25080544,25080543,25081898,257171671,258809039,269361795,38952645 Dl.O(d2) = 272832700,90870017,76991612,257764461,41749213,256106315,13197626,13197627,18570978,18572095,25124078,26002886,25123981,25123982,32828376,32830003,32830002,33820051,33820052,32828540,25124131,18572126,13197622,13197621,256106311,41749200,52061308,269490351,53322388,256683593,26001673,26001671,256683591,42859848,42859847,33818859,33818860,33819281,33819279,42860524,33819472,26002271,19329487,19329465,13822302,9479594,254945293,19329462,26002236,33819428,42860659,42859276,33817868,33817870,33819905,33818020,26000919,19328498,19328497,26000931,28324874,28324873,36820030,40953077,268636790,42859580,53321740,53321741,42859473,41737189,32816339,32816338,41737185,52050466,52052863,42861421,40953075,32173541,24587467,256580667,255966953,257012423,259448535,55411090,44563436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14882187, s2 = 13375122, dlinesl.size( ) = 16 s1 = 12755773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12755773, s2 = 16334472, int(edited[s2]) = 0 s1 = 12755773, s2 = 16334472, d1 = 0, d2 = 3 Dl.O(d1) = 29363308 Dl.O(d2) = 258778333 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12755773, s2 = 16334472, dlinesl.size( ) = 2 s1 = 12755773, s2 = 16334472, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12755773, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 16334471, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11268183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268183, s2 = 8405607, int(edited[s2]) = 0 s1 = 11268183, s2 = 8405607, d1 = 25, d2 = 79 Dl.O(d1) = 95273802,81215980 Dl.O(d2) = 114043091,100015846,255159412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268183, s2 = 8405607, dlinesl.size( ) = 36 s1 = 11095627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095627, s2 = 9384533, int(edited[s2]) = 0 s1 = 11095627, s2 = 9384533, d1 = 0, d2 = 3 Dl.O(d1) = 52500190,64374337,64374325,52500173,256453782,67590527,64374256,64374257,72614783,255509332,38571448,38571449,37891659,35025929,35025926,255125830,38571426,38571428,44401124,35025879,26945108,20059837,14375256,14375257,20059839,256214943,44401137,55248945,55249104,60085777,48689743,38767918,38767919,38571169,30000436,22630943,22629825,16443300,11457350,7620812,7620813,11457354,16444197,11457339,11457298,7620787,7620786,11457295,11457272,7620775,7620774,11457266,16444056,22630974,30000463,30000401,29999964,22630587,16443795,16443794,16444208,16444207,16443285,11558541,11558538,16577894,13380015,13380016,16444260,16577921,11558552,7691864,7691863,7620631,4821636,4821637,7620637,11456959,16443481,16443163,11456789,11456790,7620769,7620768,7620596,4821623,2905571,2905570,4821618,7620585,11456848,16443281,22629791,29998973,29999978,22630607,16443809,16443810,11457397,11457398,16444293,22631273,25826857,22630600,22630602,22629673,16443214,16443215,16443229,22629697,29998859,38569637,38569636,43834682,34561861,26575148,26575147,34561859,27937933,20784537,14896665,10243031,6730308,4216787,2521110,2521111,4216790,6730315,10243047,10575554,10575553,14519930,9990977,9990976,14519925,20234621,19120265,19120264,20234639,19772659,19772660,26423310,25106795,18557488,18557489,19772707,14162746,9736948,6403011,4017336,4017337,6403013,9736955,14162756,19772722,26574706,34561439,37034780,37034779,46911954,37034785,28536636,28536637,37034781,46911955,40603304,31894382,24366243,24366242,31894381,40603301,50653341,62162341,60667457,60667456,49267427,49267426,39341699,30742703,30742698,30742697,39341691,257604387,64336378,52468778,47004535,47004534,58374704,47004530,47004529,58374703,61843832,50359992,50359993,61843834,74635847,71090784,71090783,70999746,257886630,52468779,58284527,46918642,269777569,270405866,258296618,257687438,93376263,93376264 Dl.O(d2) = 255595732,58374711,47004537,37118546,28608592,28608591,28572208,21344119,256317839,46918643,58284528,70999745,58284525,46918641,37040672,28541782,21318279,15347405,10601515,10601516,15347407,21318282,28541772,37040662,33161995,25420755,18828517,18828516,18519902,13158756,8969216,5855267,5855271,7052412,4439138,4439139,7052416,9123039,5969705,5969703,9123033,9123088,255254623,15369299,10619644,7008401,6421440,6421441,9766701,14207261,19832622,26646005,31902467,37041314,28542353,28542352,254466254,37041316,46919292,41701403,32784894,25087051,18542380,18542381,25087053,28651322,29434751,28024750,28024748,20863807,14961907,14961906,20863805,28031376,36494014,37585756,255863938,51317101,41133475,32319722,24705287,24705288,256590195,51317102,62996153,75978855,89757571,103861110,103861111,103861112,118005549,131832754,118005543,103861103,89757566,89757567,103861105,106736615,106736616,92430692,78393823,78393801,72369278,59635158,59635159,269998390,42674110,53125030,65110841,78393822,86304966,257517116,59970939,257396478,72366564,72707922,59970849,59970850,72707925,59970930,48579144,48579145,59970935,72708011,84016594,258007337,57782516,65775887,59970926,59970927,258038820,93246733,79131056,79131055,84518482,98440140,91900787,77976257,70482696,70482697,76005743,76005742,89783270,89783272,86304929,85193151,71628538,71628539,85193154,74452616,74452615,70329965,57639826,57639827,70329969,70482684,84016607,97885321,111817588,100266809,97885310,84016586,70482677,57782509,258007335,84016588,84016614,97885325,111817583,97885313,84016597,84016599,70482692,57782525,46427490,36563252,28093084,28093085,36563254,257396467,63022404,51341578,51341579,63022407,76005746,71628544,58908204,47527233,47527232,57639840,46295590,36442557,36442556,46295588,57639735,57639734,57639737,57639736,70329900,76005747,72215846,59478758,59478759,64781842,63022459,51341622,41156656,41156657,51341625,46295593,46295594,51341593,41156629,32341841,32341840,41156626,51341588,63022423,63022395,63022396,76005732,83854983,70329843,70329844,70330006,57639850,57639849,70329931,57639796,46295557,46295556,57639793,48088877,38177043,29610218,24726097,18253332,12950255,12950257,18253338,24726103,32341876,41156697,51341664,58468220,58468221,57639784,46295539,46295538,46295470,36442475,36442474,37194437,37194436,47090274,48088899,38177073,29610258,22259858,22259857,29610255,22259876,16120266,11198027,11198028,16120270,22259879,29610283,38177104,39761837,255898418,36442526,36442502,27983378,27983376,36442498,39761874,39761873,49780882,53510134,43031467,43031468,48066275,38153448,29587223,22239336,16103805,11185866,7422059,4690181,4690180,7422057,11185862,254166006,29587179,38153385,35039779,26959997,26959998,35039780,44414011,51432476,41234403,32409478,24784650,24784652,32409480,26135652,26135653,33974460,43031487,43888264,34616144,26626537,26626536,268084726,33974443,43031465,38334391,29763666,29763665,38334386,46805690,46805691,48066262,39761845,39761846,267974468,48066206,38153375,29587173,22239315,22239314,29587169,38153369,39761868,31083785,31083786,39761857,31083772,31083771,31083766,31083767,39761854,43031470,33974448,26135645,19439840,19439841,26135649,29587211,29587212,36927397,31025024,31025023,39702144,49720630,60524768,49123652,268402258,41156604,41156605,36927357,36927356,46805600,36927334,36927335,29587208,29587207,33974441,43031463,46805668,36927383,36927384,30599449,29587166,29587167,38153366,39196115,30599441,30599440,30599404,30599406,39196062,49123644,39761848,39761850,48066203,38153372,254527688,46805714,36927411,255083054,15239001,15239002,21205009,28428764,36927420,39196065,49123646,48244755,38334331,29763644,23180718,16915717,16915714,23180709,30599432,38334381,29763659,29763658,38334379,39050273,30460642,30460641,26637996,19825986,19825985,26637993,34627788,43900037,54643007,62033379,50541885,40506620,40506619,50541881,62033377,72195146,72215560,59478320,48088664,38176787,29609959,255459927,16120050,22259604,29609957,38176785,38334413,38334414,48244839,59631992,59478632,48089072,48089071,57685944,49123669,39196092,30599427,30599426,256394880,54643009,66900309,60149055,60149052,72885380,86480621,85813512,72219581,72219583,62033366,62033367,74177371,61397061,61397060,67810115,55468348,47162498,37257138,28725616,21468939,21468938,28725614,37257133,256428628,40506653,31811073,24295830,24295828,31811067,31811057,28210590,256289655,46588379,57964823,47749517,37827288,29261827,29261826,37827282,47749512,59148038,47749572,37827343,37827344,47749576,59148086,50541871,40506607,40506606,50541862,40506602,31811040,30360980,22959604,22959605,30360986,31220328,31220327,39897150,48092845,59482373,59482379,58551074,47162474,38947094,37257144,37257142,47162478,58551078,59148014,58551088,47162484,40506647,40506645,48866817,49323390,50541893,43167985,34084615,34084614,43167978,40506669,37827302,29261834,21940445,21940442,29261831,37827292,43168199,43168200,37827262,29261818,29261819,37827270,30792704,30792705,37827354,37827353,37833300,42737779,33708230,33708228,42737776,53186975,47755941,47755943,53678267,43167948,34084590,29613969,29613968,34084573,26223737,26223739,34084579,28474643,21254946,21254948,23366555,23366554,26895190,20013691,14333552,9846489,9846487,9588189,6293906,6293905,9588182,13964326,10990146,7275249,4588155,4588157,7275256,7279809,7279808,10997003,15866365,18938148,25550640,23366606,23366605,30792667,32132722,25741702,19108091,19108092,25741707,27059514,27059515,33756928,30792620,30287694,28093059,28093057,23366642,23366643,26223759,19509361,15952038,15952040,21017422,15095221,15095222,21017426,17097416,17097415,23366564,26895172,20013681,19509352,19509351,19509310,13964395,13964394,19509303,26223941,29267219,29267218,37833327,29475811,26223789,19509194,13964333,12010860,8068611,5162822,5162820,8068605,12010848,17097440,23366614,30792682,39395337,42292175,39395350,39395349,39395292,30792634,23366584,23366579,30792622,39395279,49323384,57884470,58374731,47004553,37118559,37118536,28608581,28608580,28608586,37118542,37118547,37118556,28608600,28608601,28608602,37118557,47004549,58374727,58374722,58374721,270060388,81297992,75422858,62503923,58374723,58374724,71090796,62503925,62503924,71090791,71090790,84653265,71090805,71090806,84653267,75422857,255710202,40786815,32029990,32029989,40786813,50903475,40786824,32030004,24467765,24467766,32030006,40786827,256698938,32029991,24467745,18047897,18047898,24467747,24467749,24467748,32029993,24467753,18047905,12794141,12794140,18047903,18047913,267936240,12957262,17970158,24365917,18265754,18029361,12779175,12779170,12779171,11000849,7282184,4592447,2762979,1601693,910734,513786,288257,159511,87803,254085851,513790,910744,1601708,2763007,3581423,2134142,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702256,10631828,10631831,12816138,12816140,13714414,11000082,7281612,7281613,11000093,8713937,5675706,5675705,5853196,3737940,3737936,5977249,9133999,9551710,8713841,5672282,5672284,7284348,4593732,4593736,5853204,8966186,13154500,9586030,6292331,3941139,2359245,2359243,3941136,6292325,9586023,255228320,15345532,15345531,20268081,20268080,17946030,12716572,8640394,5619333,3490883,3490882,5619328,3880318,2323733,1347193,768795,768796,1347196,2323736,3880324,6199583,3883486,3883489,6167740,6204711,6204714,9462958,9124620,9124618,8098839,8098835,7019124,6869691,5971435,5971437,9125463,9935000,9934996,12995180,12995181,14416972,14416238,9914880,8699731,8699732,6023030,6023033,9199371,9199369,13353386,12816632,8714196,5672519,3528331,2257630,2257629,1310335,1310337,2257655,1413230,1413232,2444153,4085249,6520051,5983051,5983052,9142905,13376726,13364653,9133652,9133653,9915851,9915852,14417340,18754005,13353422,9125433,9125432,8692232,5657179,3517954,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970,7256968,10963248,10963249,15819579,21898232,21898132,15819449,15819450,21898135,29212283,26997884,21969047,21969048,24347947,21968742,15875140,15875139,13728787,9404708,254891754,254429498,9393328,9393327,13366622,9135167,5977981,5977982,9135169,13366625,18769635,25351086,254939948,21317195,28540785,37039532,46917302,47018891,47018892,58387487,71104090,270073010,87216379,74973774,62162135,50653119,50653120,62162136,67697213,81163056,71192479,58470949,47093181,37197435,37197434,37197432,37197431,47093178,258056287,84761000,98495893,84573031,71009202,71009203,67697218,55357250,55357251,62493296,67812629,55471021,55471023,55471007,44621700,44621699,55471034,64176959,52325562,52325563,64176960,77325221,91245273,270855148,89135704,89135703,103224101,117352205,271823267,100488277,100488278,91321686,91321687,259629964,146302185,133074622,119244573,119244572,119244574,259100124,76993972,76266093,63247571,52064736,41750764,32829970,32829969,41750763,52064734,63883171,76993962,63883165,52064726,52064725,52064729,41750759,32829967,25125299,25125298,32829965,41750756,52064723,63883162,76993959,90872517,85125117,71554480,58826575,47439918,37531760,28986973,21703533,255049939,7167696,7167695,10842421,255421237,28986972,37531758,47439906,47439905,58826530,58826529,71554437,71554466,71554444,71554445,71554468,258476386,71554488,85125124,256704274,86976782,86976783,100961103,99511585,85564743,71977617,257498924,47843297,255880692,41232734,44563984,44563983,47068460,256722518,34216660,255314044,21197353,21197352,28419735,21273249,15312022,10575232,6975609,6975608,10575230,15312020,254465760,26933988,20047634,254970861,9868374,14361668,20047637,26933992,35015450,32720554,32720555,41626561,51929251,63738522,71835371,257188486,71835370,85422805,99365315,85422802,85422801,99365313,98174262,84278010,70725672,58009942,257217274,98174258,112136996,112137000,112136999,125974244,139326519,139326520,147333164,159681312,170996392,181101668,189965364,197608267,193142850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095627, s2 = 9384533, dlinesl.size( ) = 2 s1 = 11095627, s2 = 9384533, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11095627, Dl.E( ) = 6, 1e-05 seconds used appending s1 = 12756127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12833790, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14323362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11011567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11011567, s2 = 12354671, int(edited[s2]) = 0 s1 = 11011567, s2 = 12354671, d1 = 50, d2 = 53 Dl.O(d1) = 13279803,18671718,25241464,32962960,41901365 Dl.O(d2) = 38190087,29623047,22271721,269172608,11204981,7434846,7434847,11204983,255460803,22271723,22271722,29623049,38190088,38190089,269339443,72225568,72225571,59490089,59490088,72225570,85817795,85817796,99770633,113783991,127651737,127651738,140999855,153666339,153666342,165446733,153666341,153666340,273122241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11011567, s2 = 12354671, dlinesl.size( ) = 8 s1 = 15310700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11147369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11147369, s2 = 8332527, int(edited[s2]) = 0 s1 = 11147369, s2 = 8332527, d1 = 68, d2 = 19 Dl.O(d1) = 258120827 Dl.O(d2) = 94341717,271284820,149867435,137344840 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11147369, s2 = 8332527, dlinesl.size( ) = 50 s1 = 11462075, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9109285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14367569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323530, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323530, s2 = 6673630, int(edited[s2]) = 0 s1 = 14323530, s2 = 6673630, d1 = 40, d2 = 112 Dl.O(d1) = 182431563 Dl.O(d2) = 209323341,209323340,203849176,263475290,180705823,170574956,159237807,146864600,133608039,119734493,105496153,91273927,77353983,64206277,52355976,42016788,33072745,33072746,42016790,52355980,42016793,33072749,25342808,18762426,18762424,25342807,33072748,257189419,64206280,271373301 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323530, s2 = 6673630, dlinesl.size( ) = 72 s1 = 14323550, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323550, s2 = 8866819, int(edited[s2]) = 0 s1 = 14323550, s2 = 8866819, d1 = 32, d2 = 40 Dl.O(d1) = 16934251,11852002,7921408,5036119,5036117,6129910,6106648,6106642,9322405,6132646,3836760,2298568,2298567,3836757,6104208,6104205,3824601,3824605,6010872,3759543,3759541,2611833,1507945,855064,482909,271729,254119591 Dl.O(d2) = 274532443,266372193,274573971,274755714 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323550, s2 = 8866819, dlinesl.size( ) = 40 s1 = 11128723, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14610817, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12835360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11657381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12835386, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12835386, s2 = 4054728, int(edited[s2]) = 0 s1 = 12835386, s2 = 4054728, d1 = 21, d2 = 9 Dl.O(d1) = 256537930,29456009,22459705,16291806,11334899,10892266,254972389,9881712,9881713,14375726,20060270,26945593,20272793 Dl.O(d2) = 150590476,162692771,173704633,183485075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12835386, s2 = 4054728, dlinesl.size( ) = 18 s1 = 14326198, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14323706, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11020573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020573, s2 = 7899141, int(edited[s2]) = 0 s1 = 11020573, s2 = 7899141, d1 = 51, d2 = 82 Dl.O(d1) = 269356621 Dl.O(d2) = 255129747,23065160,30475583,39067839,48991926,60390049,73130969,73254614,60507674,49103593,39173312,30575558,23158444,16897115,11826061,11826060,12264315,8282266,7902645,5023467,5023466,5408200,8380276,12384159,12407230,12407227,12407113,8385372,8385373,12407117,10566789,10566787,10566775,10566774,10569677,15305747,10569627,6971502,6971503,6971521,6971523,6971530,6971529,10569671,15305808,12406467,8384943,5410881,5410882,7901264,7901263,11823162,16895273,23156562,30573850,39171566,31209754,268208578,12262056,8280961,5342749,3283764,3283763,5342743,8280943,12262016,17399623,23723519,23701299,254828264,31204163,23716807,22244083,16107344,254828262,7423599,11188228,16107349,255896907,29592718,29592730,38159051,48071649,59462225,72199701,85793496,99747165,113761473,127630229,140979737,153646974,165427875,176109912,185574248,193833594,200914944,206889603,205048472 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020573, s2 = 7899141, dlinesl.size( ) = 42 s1 = 11287481, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287481, s2 = 14248257, int(edited[s2]) = 0 s1 = 11287481, s2 = 14248257, d1 = 8, d2 = 30 Dl.O(d1) = 116648313 Dl.O(d2) = 258719294,28807556,28807557,37345746,37659414,29109562,29109564,37659423,47565531,48931117,48931118,49162374,39905327,39905326,49162440,49162368,39235643,30637645,23214607,23214601,23214602,22619742,16435075,16435074,22619738,29987143,37012396,28513368,28513366,37012388,46891387,58258393,49969687,47917946,38002116,38002115,39042368,30452993,23044680,23044679,29482620,36767484,28272510,21069593,21069594,28272512,36767488,36878067,36878068,46756777,47255183,58647399,60562218,53676617,53676616,58647281,258067797,258253044,49162351,49162463,39235715,30637707,23214642,268423955,269322380,58258399,65732558,70839752,84397200,98306337,112288588,101788901,87816285,74212464,61433457,61433456,74212461,84397205,71382815,257456877,37345603,37345604,47255026,58647288,258110712,60112582,60112584,72849026,62834966,51184847,51184846,62834964,60562125,49162320,49162323,60562134,270353907,100897085,112878548,114693771,114693772,114949599,100896789,86915970,73305447,60561633,49161821,49161820,60561631,257849342,87046178,100290123,89581608,75799175,75799176,73428806,60681146,49280283,39353508,39353509,49280286,41028312,41028313,51184838,62834957,75799169,89581599,103697524,259497764,115115798,115115797,101836966,101836967,103697531,101937875,101937874,259497776,258251238,62834954,257059764,258251240,260052199,113526472,99515046,85568237,71981108,71981110,259357963,89581602,258873680,71416420,71416419,61452564,269813270,48930925,269833781,257642250,256455403,23013043,16773363,16773367,23013058,30418068,28815078,28815077,37354036,28815082,28815083,256877543,23013137,23013083,23013082,30418104,39007338,257579957,71416418,71416417,258703886,49974561,39957963,39957964,49974566,58682811,47291869,37382714,37382715,28842892,21571468,15548869,10753982,10753983,15548871,21571470,19353335,13841725,13841724,19353332,26030647,33851786,42896793,50124630,257613950,61604633,256347518,40104521,256168195,26030648,256528339,31424556,31424519,31424518,40104395,50124628,60258022,257469676,86591555,74226918,61447528,49969714,49969715,53362871,50124713,40104524,31424634,23934052,23590550,23590551,31073852,29924969,22565206,22565207,255854602,31278205,37820447,39953118,39797015,39797016,49817674,41105784,40104494,31424603,31424604,40104404,31424547,23933985,17591219,12416919,8392555,8392557,12416928,17591239,23934020,31424588,256528343,31424644,38244285,34088672,34088671,43171983,256889204,40104527,31424640,23934061,23934062,31424643,40104530,48963541,39042310,30452934,23044637,23044638,28563626,21336835,15363194,10614583,10614586,15363199,258669441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287481, s2 = 14248257, dlinesl.size( ) = 26 s1 = 12758911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16313349, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12835600, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604733, s2 = 11283232, int(edited[s2]) = 0 s1 = 11604733, s2 = 11283232, d1 = 22, d2 = 28 Dl.O(d1) = 266857616,266737470 Dl.O(d2) = 274103532,201215687,273554459,141432735,261255868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604733, s2 = 11283232, dlinesl.size( ) = 20 s1 = 14323748, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14323750, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323750, s2 = 7605584, int(edited[s2]) = 0 s1 = 14323750, s2 = 7605584, d1 = 50, d2 = 27 Dl.O(d1) = 262893867,188714223,196513068,203190282,263606364,194851905,263218811,262315073 Dl.O(d2) = 255269097,268147041,25577395,33336823,42317203,42317201,269085961,64604969,77787863,91715680,105923106 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323750, s2 = 7605584, dlinesl.size( ) = 28 s1 = 16370138, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15122964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323818, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15295687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11222295, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11016197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11016197, s2 = 7013718, int(edited[s2]) = 0 s1 = 11016197, s2 = 7013718, d1 = 19, d2 = 10 Dl.O(d1) = 10462920,10462922,15170587,21116894,268374026,46705051,58077170,70794500,84353136,73562694,70794450,58077105,46704970,36822274,33145571,33145570,256170558,15428340,10665763,7044020,7044019,255034921,21418905 Dl.O(d2) = 261348981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11016197, s2 = 7013718, dlinesl.size( ) = 20 s1 = 11211419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211419, s2 = 11313048, int(edited[s2]) = 0 s1 = 11211419, s2 = 11313048, d1 = 7, d2 = 2 Dl.O(d1) = 71635635,58914981,47533814,47041880,37151546,257441661,71138037,84707838,257665368,58478751,256029100,30773249,30773248,268973741,259461823,115139095,115139104,101064129,101064128,115139102,129067671,142442635,262308071,177337804,178004062,186660487,263251120,166783935,155087168,142442629,129067662,129067663,142442630,262308067,177337798,273567505,201725039,207571982,201725024,200205368,193016753,193016754,264171814,193016769,263848307,263487901,262644117,164239336,175045189,184638287,193016756,200205373,193016762,193016761,200205377,206275885,206275886,211294825,264955877,221645785,224102741,224102748,224102749,265429192,224487376,265037854,221645789,224102747,265242508,264811400,219274409,215954561,211945527 Dl.O(d2) = 261284240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211419, s2 = 11313048, dlinesl.size( ) = 2 s1 = 11211419, s2 = 11313048, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11211419, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10565975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11121429, s2 = 11549730, int(edited[s2]) = 0 s1 = 11121429, s2 = 11549730, d1 = 36, d2 = 35 Dl.O(d1) = 255982099,17113406,23384288 Dl.O(d2) = 274426978,274205815,222400455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11121429, s2 = 11549730, dlinesl.size( ) = 14 s1 = 11502313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11502313, s2 = 7912513, int(edited[s2]) = 0 s1 = 11502313, s2 = 7912513, d1 = 109, d2 = 115 Dl.O(d1) = 264369824 Dl.O(d2) = 35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,37396474,38243085,38243084,255976850,255143514,22413764,16249271,11297000,11297001,16249274,22413768,29437728,22104869,15994090,11103077,7363189,7363190,11103085,15994106,22104899,17303490,17303487,18834756,18834757,23617767,17303973,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,29437593,29437590,38000444,31101168,31101170,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181249,17303558,17303794,12181365,8212971,5284053,5284054,8212986,12181398,255413405,28856119,31101866,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,19822944,25460279,25460316,18860327,18860326,25460314,33208076,42162597,34111599,34111602,28283099,25459292,18859557,18859558,25459295,33206947,255664869,13437161,9186909,6012749,3760447,3760446,6012747,9186903,13437151,18859583,17105802,17105801,23375305,17349018,17349019,23667054,31154774,39407549,256478586,256644678,25459528,25459529,25462230,256129213,31480389,268746199,25455681,18856751,255664491,21077887,15140463,10442395,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746344,1307288,2252502,3760150,5332198,5332200,254842227,256004063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11502313, s2 = 7912513, dlinesl.size( ) = 14 s1 = 14090053, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11452897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11452897, s2 = 11332668, int(edited[s2]) = 0 s1 = 11452897, s2 = 11332668, d1 = 22, d2 = 24 Dl.O(d1) = 263795416 Dl.O(d2) = 263897200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11452897, s2 = 11332668, dlinesl.size( ) = 30 s1 = 12836768, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655061, s2 = 11117260, int(edited[s2]) = 0 s1 = 11655061, s2 = 11117260, d1 = 22, d2 = 29 Dl.O(d1) = 64431896,77600887 Dl.O(d2) = 271813038,100298293,86336498,269349688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655061, s2 = 11117260, dlinesl.size( ) = 26 s1 = 11487151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11487151, s2 = 10996798, int(edited[s2]) = 0 s1 = 11487151, s2 = 10996798, d1 = 60, d2 = 5 Dl.O(d1) = 263629470,181003403,181003404 Dl.O(d2) = 35413931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11487151, s2 = 10996798, dlinesl.size( ) = 14 s1 = 12761179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531225, s2 = 11218208, int(edited[s2]) = 0 s1 = 11531225, s2 = 11218208, d1 = 23, d2 = 0 Dl.O(d1) = 265177799 Dl.O(d2) = 47234585,37325805,28789456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531225, s2 = 11218208, dlinesl.size( ) = 24 s1 = 10459673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14262846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14262846, s2 = 8690323, int(edited[s2]) = 0 s1 = 14262846, s2 = 8690323, d1 = 66, d2 = 68 Dl.O(d1) = 268290918,36542162,36542164,255246286,256108958,97839660,258381724,260252726,183991064,260252724,151609903,258381720,258381722 Dl.O(d2) = 262606996,263359917,263820494,189956859,181092971,170987712,159672622,271282770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14262846, s2 = 8690323, dlinesl.size( ) = 22 s1 = 11577443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577443, s2 = 15777357, int(edited[s2]) = 0 s1 = 11577443, s2 = 15777357, d1 = 70, d2 = 127 Dl.O(d1) = 235130527 Dl.O(d2) = 239398431,239961092,239961093,239476258,239476259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577443, s2 = 15777357, dlinesl.size( ) = 8 s1 = 12762315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11014545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11014545, s2 = 6896319, int(edited[s2]) = 0 s1 = 11014545, s2 = 6896319, d1 = 45, d2 = 25 Dl.O(d1) = 9877047,9871922,6485207,6485206,254797799,16617241,14394069,9900355,9900356,14364812,14364814,14387256,14367980,9874129,6486665,4064585,2432383,2432380,4064552,2942171,2942168,4882700,4075753,2942263,2942261,1706316,1706319,2942340,4069273,2434979,1408157,1408154,2434970,4069264,2724678,1578841,897639,506445,506446,897646,506456,506458,897686,1578935,2724856,4500230,4500231,6484631,5317594,5317593,8246040,12215828,9870919,9870916,7223737,6507633,4102973,4102970,4102958,4102956,6549262,4537134,4537136,7196079,6504578,4499239,2703741,1566689,1566687,2703766,4060527,6479862,6484400,4063299,2431749,1406562,1406561,2431747,2431487,1406408,268547299,4096135,2450481,2450480,4096133,6537790,9947383,14458652,20154915,20154916,27047537,33675134,34976297,26897085,20015378,257901941 Dl.O(d2) = 259806437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11014545, s2 = 6896319, dlinesl.size( ) = 44 s1 = 8511101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8511101, s2 = 13896160, int(edited[s2]) = 0 s1 = 8511101, s2 = 13896160, d1 = 81, d2 = 127 Dl.O(d1) = 88361128,102357599,116450671 Dl.O(d2) = 264860576,265282958,222807818,220111848,220111849,264860578,265465892,231828178,233066761,234186312,235204175,234577004,265465890,230994960,274140062,264860574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 16072510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16072510, s2 = 14324303, int(edited[s2]) = 0 s1 = 16072510, s2 = 14324303, d1 = 0, d2 = 20 Dl.O(d1) = 89053327,103124248,117240500,131038735,144276326,156700998,168190110,168190105,156700995,156700996,168190107,178547831,187700063,195677217,202502143,208236358,212965493,216831260,219094805,215747154 Dl.O(d2) = 260237824,165133241,175854922,165133242,153322242,140643289,127297346,113438665,99436792,85495238,71910230,59172238,47773382,37850304,29282351,29282141,21956981,254293646,7279089,7279090,10995951,15864917,21956866,29281956,37849860,37850343,255875763,15865063,10996035,7279141,7279142,7279052,4590665,2761948,2761949,4590666,7279054,10995896,15864822,15864826,15864825,15865085,10996049,10996050,15865086,15865045,10996026,7279137,7279138,10996027,15865049,21957158,21956692,15864722,10995834,10995835,15864725,21956697,29281781,37849649,47772719,47772718,59171634,268176738,37850443,47773496,254473860,38336156,44566495,38336116,29765409,22402781,16240778,16240779,11291008,11291006,16240793,22402803,29765435,38336144,48246479,40978180,32198148,24609713,24609714,32198149,40929983,40929980,44567256,44567257,55414678,67754908,62162646,50653640,50653641,51366190,51120427,51120428,62751702,75698757,89304002,75548046,62610031,50987620,40852773,40852774,50987623,62610036,64693736,52779791,42381172,33393025,33393024,42381169,52779788,64693730,70861402,70861401,70861377,63110340,51413963,41217628,32394495,32394496,41217631,44724638,55623485,68011350,71929317,67754112,55413729,55413731,67754114,76140624,63134559,63134558,55623483,44724637,41866733,32934569,32934568,41866731,52194367,64032314,58147260,46779692,46779691 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16072510, s2 = 14324303, dlinesl.size( ) = 2 s1 = 16072510, s2 = 14324303, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16072510, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 14324304, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11388607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11151233, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15304502, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11410959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11410959, s2 = 11504390, int(edited[s2]) = 0 s1 = 11410959, s2 = 11504390, d1 = 35, d2 = 48 Dl.O(d1) = 263844810 Dl.O(d2) = 260311125,134735797,264075535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11410959, s2 = 11504390, dlinesl.size( ) = 28 s1 = 11188823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11188823, s2 = 11390292, int(edited[s2]) = 0 s1 = 11188823, s2 = 11390292, d1 = 16, d2 = 24 Dl.O(d1) = 261285615,155625762,167255474,177748754,187023490 Dl.O(d2) = 263622269,202016801,202016802,207831393,207831394,202016800,195103447,263970675,264560977,264634500,261838129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11188823, s2 = 11390292, dlinesl.size( ) = 24 s1 = 10863714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12838604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16160207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11270165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648413, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648413, s2 = 8717284, int(edited[s2]) = 0 s1 = 11648413, s2 = 8717284, d1 = 52, d2 = 60 Dl.O(d1) = 259595745,89786442,76009189,63026091,63026090,76009185,89786441,103887945,118030524,131856200 Dl.O(d2) = 273799570,261916177,131856209,131856210,145114413,261572099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648413, s2 = 8717284, dlinesl.size( ) = 26 s1 = 11381815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381815, s2 = 7122933, int(edited[s2]) = 0 s1 = 11381815, s2 = 7122933, d1 = 0, d2 = 13 Dl.O(d1) = 166073804 Dl.O(d2) = 157334015,144920259,131672248,261908537,168773456,262875741,157334013,157334014,262875743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381815, s2 = 7122933, dlinesl.size( ) = 14 s1 = 14324390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278351, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11144131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15296327, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15296327, s2 = 7109683, int(edited[s2]) = 0 s1 = 15296327, s2 = 7109683, d1 = 8, d2 = 18 Dl.O(d1) = 206799024 Dl.O(d2) = 262700189,185442878,185442871,175960463,262220809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15296327, s2 = 7109683, dlinesl.size( ) = 2 s1 = 15296327, s2 = 7109683, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15296327, Dl.E( ) = 24, 8.82e-06 seconds used appending s1 = 11283517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11055187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14324474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11397447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351901, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351901, s2 = 9238081, int(edited[s2]) = 0 s1 = 11351901, s2 = 9238081, d1 = 57, d2 = 0 Dl.O(d1) = 152042044,163906095,174717157,184333995 Dl.O(d2) = 169833066,272858534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351901, s2 = 9238081, dlinesl.size( ) = 40 s1 = 11314553, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11015205, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12765227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12765227, s2 = 12939119, int(edited[s2]) = 0 s1 = 12765227, s2 = 12939119, d1 = 9, d2 = 2 Dl.O(d1) = 201375777,201375779,207286314,264619324 Dl.O(d2) = 209838813 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12765227, s2 = 12939119, dlinesl.size( ) = 2 s1 = 12765227, s2 = 12939119, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12765227, Dl.E( ) = 10, 5.96e-06 seconds used appending s1 = 10656944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11522343, s2 = 14253583, int(edited[s2]) = 0 s1 = 11522343, s2 = 14253583, d1 = 96, d2 = 82 Dl.O(d1) = 264258308,184874595,187471627,187471626,195489959,202347369,263993110,211428681 Dl.O(d2) = 223297818,221192917,218266813,214783537,264414097,199110733,191709645,183101786,173251652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11522343, s2 = 14253583, dlinesl.size( ) = 38 s1 = 14324578, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14324578, s2 = 13816745, int(edited[s2]) = 0 s1 = 14324578, s2 = 13816745, d1 = 1, d2 = 1 Dl.O(d1) = 231358877,229931632,228323130,226490177,265716279,225351650,223075792,265082667,217331521,217331518,274229217,209047038,203497475,196870150,196870148,203497471,209047028,213601578,217331511,220437608,223075780,220437600,220437599,223075777,220437601,217331508,213601575,209047024,264041303,189125878,189125877,189125881,180183876,273439015,189125875,273919843,189125894,180183886,180183885,180183887,263327593,262449973,146290733,261949829,133063036,133063037,261949831,158659104,146290727,260844791,105040743,90862268,76984315,76984314,90862267,105040741,260844789,133063041,133063040,146290725,146290732,158659107,170017579,180183894,189125904,196870172,203497484,196870156,196870157,203497485,203497501,209047042,213601591,217331527,213601597,264860937,212757756,209047012,274194472,203497462,196870140,195319920,195319919,202201476,207987222,202201471,263637103,178029681,167562491,155951135,155951134,167562476,155951118,261307429,272269221,102117990,88129781,74517450,61735754,50257348,40237953,31551937,24048096,24048095,17695080,12515472,12515471 Dl.O(d2) = 231358877,229931632,228323130,226490177,265716279,225351650,223075792,265082667,217331521,217331518,274229217,209047038,203497475,196870150,196870148,203497471,209047028,213601578,217331511,220437608,223075780,220437600,220437599,223075777,220437601,217331508,213601575,209047024,264041303,189125878,189125877,189125881,180183876,273439015,189125875,273919843,189125894,180183886,180183885,180183887,263327593,262449973,146290733,261949829,133063036,133063037,261949831,158659104,146290727,260844791,105040743,90862268,76984315,76984314,90862267,105040741,260844789,133063041,133063040,146290725,146290732,158659107,170017579,180183894,189125904,196870172,203497484,196870156,196870157,203497485,203497501,209047042,213601591,217331527,213601597,264860937,212757756,209047012,274194472,203497462,196870140,195319920,195319919,202201476,207987222,202201471,263637103,178029681,167562491,155951135,155951134,167562476,155951118,261307429,272269221,102117990,88129781,74517450,61735754,50257348,40237953,31551937,24048096,24048095,17695080,12515472,12515471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14324578, s2 = 13816745, dlinesl.size( ) = 2 s1 = 14324578, s2 = 13816745, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14324578, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 15296475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15296475, s2 = 14354235, int(edited[s2]) = 0 s1 = 15296475, s2 = 14354235, d1 = 23, d2 = 45 Dl.O(d1) = 238171346,238830632,239436445,274828938,240997259 Dl.O(d2) = 211935813,207026815,264197826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15296475, s2 = 14354235, dlinesl.size( ) = 24 s1 = 10675277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11434771, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434771, s2 = 7305276, int(edited[s2]) = 0 s1 = 11434771, s2 = 7305276, d1 = 51, d2 = 53 Dl.O(d1) = 193206962,200368004,273723898 Dl.O(d2) = 218891643,218891642,221745178,265208056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434771, s2 = 7305276, dlinesl.size( ) = 46 s1 = 14081817, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14081817, s2 = 14210811, int(edited[s2]) = 0 s1 = 14081817, s2 = 14210811, d1 = 18, d2 = 23 Dl.O(d1) = 85020803,260542393,140140508,152835083 Dl.O(d2) = 274015148,211495075,215576299,218949181,221795750,224237165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14081817, s2 = 14210811, dlinesl.size( ) = 26 s1 = 15932775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14300172, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14300172, s2 = 5063672, int(edited[s2]) = 0 s1 = 14300172, s2 = 5063672, d1 = 28, d2 = 37 Dl.O(d1) = 172640424,161464241,149178103,260419786,149178104,149178105 Dl.O(d2) = 210571808,214801664,218282603,273578596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14300172, s2 = 5063672, dlinesl.size( ) = 18 s1 = 16401451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16401451, s2 = 11565148, int(edited[s2]) = 0 s1 = 16401451, s2 = 11565148, d1 = 10, d2 = 14 Dl.O(d1) = 221720971,265366906,218865332,218865331,221720968,265542031 Dl.O(d2) = 224171925,226297384,226297388,224171927,224171928,226297381,226297382,265979135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16401451, s2 = 11565148, dlinesl.size( ) = 12 s1 = 12841006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11606417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11543303, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543303, s2 = 7651424, int(edited[s2]) = 0 s1 = 11543303, s2 = 7651424, d1 = 77, d2 = 53 Dl.O(d1) = 227266191,225277018,225277017,227266190 Dl.O(d2) = 51770494,63550092,63550093,76630662,271006635 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543303, s2 = 7651424, dlinesl.size( ) = 44 s1 = 11762006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11332399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332399, s2 = 5188966, int(edited[s2]) = 0 s1 = 11332399, s2 = 5188966, d1 = 23, d2 = 2 Dl.O(d1) = 140891928,261693258,153278611,165093349,263129567,273343673 Dl.O(d2) = 215727910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332399, s2 = 5188966, dlinesl.size( ) = 28 s1 = 11575629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11575629, s2 = 11186668, int(edited[s2]) = 0 s1 = 11575629, s2 = 11186668, d1 = 37, d2 = 48 Dl.O(d1) = 266327369,231328992 Dl.O(d2) = 260570731,85496531,259352495,85496532,99437937,85496534,85496533,271326849,85496529,71911668,258727355,59173910,59173911,71911671,259352495,71911672,257493625,255875867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11575629, s2 = 11186668, dlinesl.size( ) = 14 s1 = 11268097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268097, s2 = 11537716, int(edited[s2]) = 0 s1 = 11268097, s2 = 11537716, d1 = 17, d2 = 25 Dl.O(d1) = 260405735 Dl.O(d2) = 263804661,264425585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268097, s2 = 11537716, dlinesl.size( ) = 26 s1 = 11592711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11590719, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11590719, s2 = 7370385, int(edited[s2]) = 0 s1 = 11590719, s2 = 7370385, d1 = 36, d2 = 62 Dl.O(d1) = 266545540 Dl.O(d2) = 274061983,210186872,210186871,210186894,264660673,264901159,220995531,265495625,227648118,265943347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11590719, s2 = 7370385, dlinesl.size( ) = 8 s1 = 16254943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16254943, s2 = 7991699, int(edited[s2]) = 0 s1 = 16254943, s2 = 7991699, d1 = 5, d2 = 0 Dl.O(d1) = 219825004 Dl.O(d2) = 13837850,9713654,9713655,14118681,14119302,17940624,17940625,24328851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16254943, s2 = 7991699, dlinesl.size( ) = 32 s1 = 15213700, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15296657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14324770, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14324770, s2 = 14368064, int(edited[s2]) = 0 s1 = 14324770, s2 = 14368064, d1 = 43, d2 = 39 Dl.O(d1) = 236966456,236120828 Dl.O(d2) = 50980751,40847343,40847342,50980749,62601926,75539203,89295694,103386071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14324770, s2 = 14368064, dlinesl.size( ) = 12 s1 = 12841588, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14300438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14324874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11578323, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11571353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571353, s2 = 11568292, int(edited[s2]) = 0 s1 = 11571353, s2 = 11568292, d1 = 49, d2 = 36 Dl.O(d1) = 266428603,274773661 Dl.O(d2) = 266697438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571353, s2 = 11568292, dlinesl.size( ) = 40 s1 = 14324900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14324900, s2 = 3195860, int(edited[s2]) = 0 s1 = 14324900, s2 = 3195860, d1 = 0, d2 = 54 Dl.O(d1) = 150324517 Dl.O(d2) = 100442013,86484860,257258136,48760202,38840773,30257162,22861695,16634963,254673424,10256153,8935378,5832028,5831865,3638979,3638982,5831925,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917552,6011603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14324900, s2 = 3195860, dlinesl.size( ) = 32 s1 = 11318135, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11318135, s2 = 7785492, int(edited[s2]) = 0 s1 = 11318135, s2 = 7785492, d1 = 78, d2 = 81 Dl.O(d1) = 272094772,274038697,263806736,191994507 Dl.O(d2) = 274903537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11318135, s2 = 7785492, dlinesl.size( ) = 54 s1 = 11583979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11583979, s2 = 7320590, int(edited[s2]) = 0 s1 = 11583979, s2 = 7320590, d1 = 12, d2 = 36 Dl.O(d1) = 236559559,235675510,235675509 Dl.O(d2) = 265384390,264983594 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11583979, s2 = 7320590, dlinesl.size( ) = 50 s1 = 8910015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8910015, s2 = 5727924, int(edited[s2]) = 0 s1 = 8910015, s2 = 5727924, d1 = 5, d2 = 15 Dl.O(d1) = 228517144,228517129,226707943,226707942,228517128,230106831,266009833,226707946,226707945,228517133,230106840,231517768,230106834,230106833,231517767,231517777,231517778,232782485,232782490,231517781,230106852,228517147,226707954,226707952,228517129,228517130,230106833,231517767,231517777,230106844,230106845,231517770,231517771,231517776,230106842,266009831,232782485,232782490,231517781,230106852,228517147,226707954,226707951,228517143,228517146,226707954,226707952,228517129,226707943,226707942,228517128,230106831,266009833,226707946,226707945,228517134 Dl.O(d2) = 233925709,233925698,233925697,234967596,234967603,234967599,234967600,234967602,233925709,233925698,232782477,232782476,266436597,236779937,266601605,266342421,266342419,235915734,236779940,236779942,235915738,234967605,233925710,233925711,234967606,274727177,266241037,266241035,234967602,233925709,274600777,228517142,226707950,224632330,224632329,226707948,228517139,266009839,232782487,232782488,233925705,266436601,232782482,231517774,231517768,231517769,231517765,231517764,232782478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8910015, s2 = 5727924, dlinesl.size( ) = 2 s1 = 8910015, s2 = 5727924, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 8910015, Dl.E( ) = 16, 7.15e-06 seconds used appending s1 = 11607277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607277, s2 = 15558696, int(edited[s2]) = 0 s1 = 11607277, s2 = 15558696, d1 = 82, d2 = 0 Dl.O(d1) = 241057543,240582301 Dl.O(d2) = 27236596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607277, s2 = 15558696, dlinesl.size( ) = 30 s1 = 11651603, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15961426, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10393349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16374592, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7438882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7438882, s2 = 7477865, int(edited[s2]) = 0 s1 = 7438882, s2 = 7477865, d1 = 19, d2 = 30 Dl.O(d1) = 266662471 Dl.O(d2) = 240515708,240997529,240997531,267044829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7438882, s2 = 7477865, dlinesl.size( ) = 34 s1 = 11545941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545941, s2 = 12333284, int(edited[s2]) = 0 s1 = 11545941, s2 = 12333284, d1 = 11, d2 = 12 Dl.O(d1) = 229624210,231077963,232382356 Dl.O(d2) = 266348326,266406227,266650701,238726815,239344075,239912309,240437590,266994201,241794178,241984756,266946036,267077756,267115704,243017855,243017856,243318480,243599827,274922544,243318419,243017787,242697386,242354031,242354030,241984753,266946034,242697405,243017812,243318448,243599796,267183342,267214198,244539344,267295002,274981707,243738181,243468274,243178432,267183344,267115696,243017820,243017819,267115694,274932570,242869402,242537091,267078835,274926316,242869405,267183334,243599725,243599724,243860710,243988253,244221017,274932572,243178479,243178480,243318566,243017950,243017951,243318568,267115688,243318394,267150448,243468280,243738187,243988240,267183340,243599794,243468288,243178453,267115692,243017809,274900184,274922552,243318478,243017854,267077760,243178450,267150454,242179914,242179915,242537094,242537101,242869416,243178431,243468272,243738179,243860782,243860781,244103651,274922546,267077774,242697505,242354090,241984788,241984787,242354087,242179910,241794169,241376116,267038077,242179906,242537101,242869416,243178431,243468272,243599860,243318526,243318508,243017893,243017894,243318513,243468265,243738175,243988235,243860788,243860787,244103674,244103645,243860729,243599767,243318423,243017790,242697389,242354018,242354019,242697390,243017791,243318424,243599772,243860733,244103647,267242670,243468270,267242668,244103670,243860786,243860785,267150450,243599780,243860740,267150452,243318492,267036852,242697451,243017872,243017983,243017984,243318586,267115716,267077778,243017975,243178481,267036854,242697471,243017896,267115710,243599737,243318390,243017770,243017769,274911770,243017968,242697521,267036856,242697363,242697365,243017764,267077764,243017866,267115706,243860759,243988248,243738196,267183346,242869431,242869433,242697416,242354038,242354037,242697414,242354105,241984801,266946040,242354100,242697510,242354107,242354108,242697427,242697425,242537103,242179907,241794167,241376115,240925019,240925020,241376119,241794173,267116847,242869442,243178457,243468299,243318391,243017770,243017769,274911770,243017968,242697521,267036856,242697363,242697365,243017764,267077764,243017866,267115706,243860759,243988248,243738196,267183346,242869431,242869433,242537110,267115698,243017827,267077758,242179923,241794176,241376122,241376120,267077752,242354003,241984729,241984730,241585326,266782116,240183882,240183883,240687571,241153766,241585347,241984737,242354011,242697383,243017785,243318416,243599756,243860724,243860761,244103661,244329421,244221014,243988244,243738194,243468284,243178439,242869425,242537105,242537104,242869422,267077776,243599880,267183348,243860757,243599833,267077762,243017862,242869408,242537092,267151659,243178425,243178471,242869455,242537127,242179934,242179933,242537125,242869452,242537136,242537135,242697462,243017888,243017908,243017909,243318458,243318459,243599810,243599867,243318545,243017919,242697487,242697486,243017804,243017805,243318440,243599792,243599829,243860753,244103657,267214196,243468282,267183350,243860796,267183336,267115690,242869474,242869473,243178489,267115708,243468324,243468269,243468268,243318534,243017911,243017910,243318533,243178466,243178467,243318556,243017934,242697497,266946038,241984782,242354080,242697492,243017923,243318549,243318518,243017898,242697473,242354068,241984774,241585363,241585364,241984778,241984750,241585339,241585337,266946032,241585334,241153759,241153758,241585332,241984742,266992870,242697561,242354126,241984816,241585383,241585384,241376128,241376126,241794185,242179945,242537139,242697460,242697459,243017883,243318502,243599847,243860715,243599735,243318388,243017767,242697368,267036850,243318384,243599731,243860712,244103638,244103641,243860766,243599838,243599837,243318572,243017963,243017964,243318575,243599887,243860794,243988250,243738203,243468301,243178458,242869443,242869444,243178462,243468306,243738206,243860771,243860770,274971081,243599787,243318437,243017801,266992872,242354026,242697395,242354112,241984807,241585377,241585376,266946042,242697532,243017841,242697435,242697436,243017844,243318399,243318397,243599744,267077772,243017949,243318565,243318433,243017926,242697493,242697489,243017903,243318413,243017781,242697380,274859988,266992868,243017783,243017845,243017846,267115702,243599749,243318410,243017780,242697378,242354009,241984731,266946030,242697375,243017778,243318408,243599748,243318463,243017837,242697430,242354048,241984762,241585354,241585355,241984764,266992876,242697524,242354104,241984800,266946040,242354100,242697510,242697420,242697421,242354057,241984766,241585356,241585355,241984764,266992876,242697524,242697522,242697517,242697518,242354109,242354110,242697537,243017978,274911774,243468295,243468294,267214202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545941, s2 = 12333284, dlinesl.size( ) = 14 s1 = 14325030, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12770149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11632895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632895, s2 = 11626372, int(edited[s2]) = 0 s1 = 11632895, s2 = 11626372, d1 = 60, d2 = 66 Dl.O(d1) = 245839897,245953186 Dl.O(d2) = 246556603,246556604,246556605,246478427,275047239,246478429,246478428,246396442,246309464,275036430,246016615,245907041,245790668,245666280,275017498,245390364,245239772,245079065,244907022,244723603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632895, s2 = 11626372, dlinesl.size( ) = 26 s1 = 14325110, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11632405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14325126, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10927961, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13998994, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14325196, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325196, s2 = 2679282, int(edited[s2]) = 0 s1 = 14325196, s2 = 2679282, d1 = 26, d2 = 33 Dl.O(d1) = 260152673,130294547,143622745,156157077,167757736,178208981,187431697,195457352 Dl.O(d2) = 273551638,132382080,145630512,261440101,133829499,147074429,262430523,158033579,145630514,132382081,132382082,145630516,147074426,147074427,145630511,145630512,158033578,158033582,169447342,273551638,132382080,145630512,261440101,133829499,147074428,159449623,169447343,169447342,273551638,118539404,104352589,90197231,90197230,76367470,257743067,41384752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325196, s2 = 2679282, dlinesl.size( ) = 2 s1 = 14325196, s2 = 2679282, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14325196, Dl.E( ) = 38, 2.98e-05 seconds used appending s1 = 11061483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11061483, s2 = 6834237, int(edited[s2]) = 0 s1 = 11061483, s2 = 6834237, d1 = 51, d2 = 76 Dl.O(d1) = 256986931,60086392,60086393,72823499,86418303,259424076,86418303,100373975,260635997,263182213 Dl.O(d2) = 265347617,265524199,221467856,218578697,274231212,210977963,210977964,215146152,210977957,205877591,199711133,192421063,183954047,174291575,262459438,138857862,138857861,151560716,163443606,174291573,183954041,263825521,199711144,192421073,183954053,183954054,183954056,263825519,183954039,183954040,192421058,264622062,192421064,199711135,205877593,265347613,274142308,263709724,111717447,97794752,259014768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11061483, s2 = 6834237, dlinesl.size( ) = 36 s1 = 11649265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649265, s2 = 14175875, int(edited[s2]) = 0 s1 = 11649265, s2 = 14175875, d1 = 21, d2 = 22 Dl.O(d1) = 262343011,177861003,264565363,202674332,202674331,208376073,213078504,264976354,219143478,215801903,211761469,206816874,200833313,262684928 Dl.O(d2) = 259980895,127475993,140834434,153513622,165307630,263140599,185475769,185475770,179292643 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649265, s2 = 14175875, dlinesl.size( ) = 20 s1 = 13518043, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14325302, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12844732, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11339053, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11339053, s2 = 3759851, int(edited[s2]) = 0 s1 = 11339053, s2 = 3759851, d1 = 24, d2 = 26 Dl.O(d1) = 258983228,156229671 Dl.O(d2) = 130373534,143700110,156229677,167823043,272913795,261324905,74802495,62005904,62005905,74802497,88435032,102437144,116534696,130373537,143700111,156229672,167823039,263649267,262841653,130373528,130373527,130373526 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11339053, s2 = 3759851, dlinesl.size( ) = 20 s1 = 15297109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15297109, s2 = 4809787, int(edited[s2]) = 0 s1 = 15297109, s2 = 4809787, d1 = 10, d2 = 18 Dl.O(d1) = 128097808 Dl.O(d2) = 196889964,196889963,203514998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15297109, s2 = 4809787, dlinesl.size( ) = 2 s1 = 15297109, s2 = 4809787, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15297109, Dl.E( ) = 54, 1.88e-05 seconds used appending s1 = 14325352, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325352, s2 = 7156482, int(edited[s2]) = 0 s1 = 14325352, s2 = 7156482, d1 = 14, d2 = 12 Dl.O(d1) = 263487666 Dl.O(d2) = 263338012 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325352, s2 = 7156482, dlinesl.size( ) = 20 s1 = 10364533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10364533, s2 = 13856761, int(edited[s2]) = 0 s1 = 10364533, s2 = 13856761, d1 = 42, d2 = 48 Dl.O(d1) = 255923625,38547388,48459628,59850362 Dl.O(d2) = 207142530,212031194,212031200,211158587,206102780,199985756,194173664,194173663,264231835,207142532,207142533,264713903,211158586,206102779,199985755,264453165,207142537,206102782,199985757,192747464,192747465,264163087,211158591,215292935,212031198,212031197,207142539 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10364533, s2 = 13856761, dlinesl.size( ) = 28 s1 = 11419581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12844964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11492725, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492725, s2 = 11534340, int(edited[s2]) = 0 s1 = 11492725, s2 = 11534340, d1 = 8, d2 = 3 Dl.O(d1) = 264984963,221969281,224391837,226495577,228328036,229936013,228328037,228328038,265861401,231362874 Dl.O(d2) = 228328038,265861401,231362874,231362873,231362871,229936009,229936007,228328030,228328031,228328036,229936013,228328037,228328038,226495580,226495579,228328032,228328033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492725, s2 = 11534340, dlinesl.size( ) = 2 s1 = 11492725, s2 = 11534340, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11492725, Dl.E( ) = 10, 8.82e-06 seconds used appending s1 = 10984843, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10984843, s2 = 11039304, int(edited[s2]) = 0 s1 = 10984843, s2 = 11039304, d1 = 10, d2 = 17 Dl.O(d1) = 2778699,2843671,2843673,3225539,1890920,1890921,254393261,4942896,2982955,1731638,984441,554182,310093,254101831,254171995,254369779,254805591 Dl.O(d2) = 16731356,11688771,255125577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10984843, s2 = 11039304, dlinesl.size( ) = 18 s1 = 11483323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11483323, s2 = 11652844, int(edited[s2]) = 0 s1 = 11483323, s2 = 11652844, d1 = 11, d2 = 21 Dl.O(d1) = 212450091,265027469,265420633,226840203,265746113,230208455,266138221,266098848,224784579,222416190,222416191 Dl.O(d2) = 231608038,266138221,230208454,230208453,266349543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11483323, s2 = 11652844, dlinesl.size( ) = 2 s1 = 11483323, s2 = 11652844, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11483323, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 11185995, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11141107, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11141107, s2 = 11138022, int(edited[s2]) = 0 s1 = 11141107, s2 = 11138022, d1 = 17, d2 = 22 Dl.O(d1) = 258655993,257459782,63737392,63737391 Dl.O(d2) = 58692096,47301696,254505116,21580139,267764788,7109685,10760369,15556710,21580141,28852231,37392485,47301699,58692098,71424847,84997839,98922629,112910125,258070528,123018759,108749842,94456691,80397386,257891161,271670146,80397388,66967194,257292861,34689136,26694608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11141107, s2 = 11138022, dlinesl.size( ) = 24 s1 = 11381801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11381801, s2 = 11109004, int(edited[s2]) = 0 s1 = 11381801, s2 = 11109004, d1 = 20, d2 = 16 Dl.O(d1) = 260501408 Dl.O(d2) = 257419168 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11381801, s2 = 11109004, dlinesl.size( ) = 22 s1 = 11531659, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11435611, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14040707, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14038535, s2 = 14040708, int(edited[s2]) = 0 s1 = 14038535, s2 = 14040708, d1 = 6, d2 = 11 Dl.O(d1) = 254946095 Dl.O(d2) = 3894284,254667921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14038535, s2 = 14040708, dlinesl.size( ) = 16 s1 = 11318503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10631601, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12845440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14139277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11354309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354309, s2 = 11554546, int(edited[s2]) = 0 s1 = 11354309, s2 = 11554546, d1 = 42, d2 = 34 Dl.O(d1) = 260615990,175378804,175378803,175378804,184928184,193268481,200428107 Dl.O(d2) = 265725968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354309, s2 = 11554546, dlinesl.size( ) = 32 s1 = 14325430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14325430, s2 = 10153482, int(edited[s2]) = 0 s1 = 14325430, s2 = 10153482, d1 = 14, d2 = 39 Dl.O(d1) = 127373078 Dl.O(d2) = 1937778,1106866,621089,621088,1106862,1937772,3274358,1925949,1106858,621085,345140,345139,621081,1106853,1937761,3294745,5331763,3277260,3277259,5331758,5334316,8262243,5366435,3299115,1940375,1940380,3299129,5335757,3279950,3279947,5335793,5533512,3418967,2018840,2018839,3418933,3286150,1932495,1103852,1103848,1932482,3286136,4708345,3286179,3277416,3277418,4708248,7451823,5552189,3436860,3436858,5552182,8269681,8269641,5336105,4708413,4708416,5357926,8304031,12274802,12243930,8269093,8269092,5366358,3299067,3299068,5366371,5336240,3280227,3280230,5336248,5346898,5362850,8263550,5331471,3286030,1932429,1103825,619336,619338,1103834,1932452,3286068,4713411,4401853,4401848,3285795,3285798,3459833,3459836,5576738,8315042,5365290,5365287,3435672,2032327,2032326,3435663,5550655,5347621,5347624,8289421,8560068,8534524,7457563,7457565,7452336,4708542,4708546,7452350,8550111,11230592,7452203,4708466,2836450,1645470,935676,527324,527322,935669,1645455,2836422,4708407,7452099,11230566,12274829,15553382,10757389,10757391,8288237,5346774,4713090,4713091,3285887,1932361,254268443,5346658,8288051,12273248,12545670,8504854,5505334,3394181,2000521,1143483,1143485,2000533,3394210,5505393,8504927,12545739,9655726,6349175,6349174,9655723,12549834,9188947,9188948,13439496,13439494,9188945,9188944,13439493,12623381,8569488,8569492,9191713,8582019,5576200,3459432,3459430,4711822,267891087,11235859,9189063,9189064,12677699,17837070,12640222,8582422,5576594,5576593,8582417,12526492,12526494,17708528,12549270,12549271,17736374,13442661,9191906,9191905,9188154,8535917,8535916,12583274,12597172,9191907,8509025,5509536,5509537,3762001,3397976,2003320,1145193,642412,356547,195359,195360,356549,642417,1145200,2003336,3397998,254607647,5523973,5497853,4029864,4029865,6423495,5528743,3414651,2043989,2043988,1171769,1171773,2003394,1145230,642433,642435,1145239,645609,645607,646257,267773419,5526354,5534064,3419572,2019294,1155328,648196,648195,1155325,1986052,1134649,1134648,1146054,642896,642898,1134531,636609,636610,1134541,1985867,1398085,1398084,1166514,654684,363036,363035,654681,1166504,2016416,2016417,2021882,2021676,2021677,3422549,3422546,5492586,3382908,2023379,2023382,3424871,2047605,1174154,1174156,2047586,3386120,3385542,1994127,1994129,2061362,3387779,5484653,3375594,3375593,5484611,3375548,3375547,5484609,8483965,5552304,3436974,2033188,1164485,1164486,658595,365056,365054,658587,1173233,2046165,3409779,3389789,1997293,254250685,1006181,1006178,1161326,1765563,1005981,566920,566923,317556,317553,566996,1006079,1181881,1181880,2010935,1149967,1149969,1707098,2943744,3378382,3378383,5487669,267846769,1990451,1137397,638150,638152,1137401,1990456,3380559,5489850,5526607,3412889,2014256,2014255,1168426,1168427,2039011,3036724,2025901,1182828,664390,664391,1182830,2061052,2039334,1168640,655907,655908,1157196,649233,649235,1157200,2022218,3423354,3783950,3783951,254652763,8500546,12539309,255134653,7897315,5018326,3401957,3401955,5488258,5020322,5020321,3425201,3425200,5540054,5370987,5370988,8323491,12322651,12536387,8498061,5499470,3389088,3301845,254185221,622547,345993,189741,103611,103612,189743,345998,622559,1109317,1941999,1142952,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,1942119,1942116,3302044,2035983,2035985,3036982,1767919,1007464,1007460,650171,360617,360616,254138427,2024860,3426590,5541298,8303579,8541824,12539309,8562782,254613319,3823264,2290619,2290618,3823260,3386949,3386948,5497131,7422093,5018527,5018528,7422098,7422099,8323490,8323491,12322651,12536387,8498061,5499470,3389088,3301845,254185221,622547,345993,189741,103611,103612,189743,345998,622559,1109317,1941999,1142952,641138,641135,1142965,1999674,2058462,2021902,2021903,3422859,3454188,3404232,3404229,2046907,2046909,2045792,1172971,658433,364969,199615,108685,108686,199621,364981,658450,1172999,2045008,1989592,1989591,3379405,3432012,3440314,5555952,8521404,8538458,5536522,5536521,254592451,3301860,1941973,1109306,622554,622556,1109310,254269741,5371010,8301831,267996871,8571264,12625274 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14325430, s2 = 10153482, dlinesl.size( ) = 24 s1 = 14149943, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149943, s2 = 10778694, int(edited[s2]) = 0 s1 = 14149943, s2 = 10778694, d1 = 13, d2 = 35 Dl.O(d1) = 266425984,234205526,234205525,235220738,234205531,233088624 Dl.O(d2) = 220211188,265197790,265561560,230480949,265994956,228938624 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11488763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11189161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189161, s2 = 6467959, int(edited[s2]) = 0 s1 = 11189161, s2 = 6467959, d1 = 137, d2 = 124 Dl.O(d1) = 257703488,58165322,52236372,41900313,259636641 Dl.O(d2) = 254856096,74441812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189161, s2 = 6467959, dlinesl.size( ) = 52 s1 = 11414559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414559, s2 = 11107804, int(edited[s2]) = 0 s1 = 11414559, s2 = 11107804, d1 = 19, d2 = 8 Dl.O(d1) = 270793526 Dl.O(d2) = 254325268,254713266,255795652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414559, s2 = 11107804, dlinesl.size( ) = 8 s1 = 11103535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11103535, s2 = 14934965, int(edited[s2]) = 0 s1 = 11103535, s2 = 14934965, d1 = 35, d2 = 7 Dl.O(d1) = 34219413,26345636,19616600,14057240,9666231,9666230,14057238,19616597,26345631,259107791,107817582 Dl.O(d2) = 105130732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11103535, s2 = 14934965, dlinesl.size( ) = 30 s1 = 15272112, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15272112, s2 = 10980316, int(edited[s2]) = 0 s1 = 15272112, s2 = 10980316, d1 = 0, d2 = 0 Dl.O(d1) = 27350,27352,48948,49283,49284,89595,162003,162002,163402,89798,49391,49390,89793,163395,163044,89608,89607,163039,163172,295024,526514,522479,522478,295454,163430,163083,89622,89621,163076,294867,254123871,935290,527096,527095,254165225,292912,161998,89768,49374,49375,254078669,295334,527113,522651,522650,526586,526271,294891,163091,89626,89628,163099,294428,525366,927057,522521,292858,292857,294391,162802,89484,89483,162800,294384,163163,89660,89659,163160,162016,89031,89030,162012,162030,292937,292938,522631,927188,927306,927307,526482,526483,934185,527189,527191,935444,1630338,2810336,1630491,932058,932059,1630653,927313,526593,295062,163196,163197,295065,254100005,294900,525385,932032,1630355,931930,527119,527120,525289,294378,162796,162795,294372,525282,525341,526471,526470,934171,1642865,2824416,4687295,5178809,3159818,254179039,254179037,593546,593547,331053,182298,182301,331058,331003,182283,163344,163346,295315,331197,182367,100034,100036,182375,331210,594147,593651,330936,330935,593647,1055814,1849986,3160161,4996173,7869622,11772051,7870086,7869641,254087562,7869663,7870287,7870286,11777219,7863249,4990976,4990975,7863247,11777217,7870065,7870064,11786443,11787974,11781652,7866230,4993107,3016555,1752782,997111,254128022,3016551,254128024,1754441,1754442,3019004,1754474,1754475,3018742,254127982,3018740,1754301,1754300,3018738,4996039,4996040,7870089,11786470,267768114,7869594,7869593,11785959,11785982,7869613,7869614,11785987,11787557,11786453,7870073,4996024,4996025,7870076,5354733,5354734,8300316,12290288,16852382,11785792,7869432,7869430,7866224,4993099,4993098,7866221,7870091,11786474,16837614,11774528,11774529,16837616,17436386,12290297,12290298,11783051,7867321,7867323,7870879,7869833,7869832,11786202,7869813,7868521,4994872,3017800,3017802,4994876,7866536,4993325,4993326,7866540,254556994,17436383,16837603,11774510,11774509,16837601,17436332,12290215,8300249,8300248,11785042,16851471,16849952,11783938,11783937,16849949,23099416,16843252,16843254,23099420,23098438,16842508,11778422,7867301,4993869,3017126,1753214,1753213,3017123,4993862,7867282,11782095,254372192,16847842,11784478,7868497,7868498,7868525,7868527,11784513,16850718,11784504,11784505,16850720,16836645,16836646,23091152,16843962,11779549,7864931,4992341,4992342,7864934,11779553,11782065,11784879,7868789,4995052,4995051,7868786,11784877,16851226,16849228,16849227,23107255,23098444,16842515,11778425,7867293,7867295,11783020,11783024,11783185,16849078,16847829,11782089,11782091,7870455,4996339,4996338,6873628,6873714,10425638,13072229,8907836,8907839,13072236,16927723,11847506,7918377,7918374,11847499,12022577,12936284,12022606,12022607,8800630,8800632,11773839,7860639,4989011,4989010,7860646,11773849,16836633,21042167,15114271,10425252,6873475,6873476,10425256,15069487,15114577,15114511,15114510,16126279,22267390,23107145,16849118,16849117,23106972,16848897,254815484,4993856,4993857,7867270,11782982,11846297,12936202,8800636,8800637,12936207,18237338,15114704,15114703,17112025,17112026,18237318,23195283,30615803,23195971,16928098,11847791,7918580,7918582,11847797,16928106,21042177,15114818,15114819,16929904,11848983,7919438,7918484,7918482,11847640,11847667,11847666,16849016,16849015,21042637,15114750,10425619,10425617,6873753,4314921,4314922,5034982,5034984,7919433,11787871 Dl.O(d2) = 27350,27352,48948,49283,49284,89595,162003,162002,163402,89798,49391,49390,89793,163395,163044,89608,89607,163039,163172,295024,526514,522479,522478,295454,163430,163083,89622,89621,163076,294867,254123871,935290,527096,527095,254165225,292912,161998,89768,49374,49375,254078669,295334,527113,522651,522650,526586,526271,294891,163091,89626,89628,163099,294428,525366,927057,522521,292858,292857,294391,162802,89484,89483,162800,294384,163163,89660,89659,163160,162016,89031,89030,162012,162030,292937,292938,522631,927188,927306,927307,526482,526483,934185,527189,527191,935444,1630338,2810336,1630491,932058,932059,1630653,927313,526593,295062,163196,163197,295065,254100005,294900,525385,932032,1630355,931930,527119,527120,525289,294378,162796,162795,294372,525282,525341,526471,526470,934171,1642865,2824416,4687295,5178809,3159818,254179039,254179037,593546,593547,331053,182298,182301,331058,331003,182283,163344,163346,295315,331197,182367,100034,100036,182375,331210,594147,593651,330936,330935,593647,1055814,1849986,3160161,4996173,7869622,11772051,7870086,7869641,254087562,7869663,7870287,7870286,11777219,7863249,4990976,4990975,7863247,11777217,7870065,7870064,11786443,11787974,11781652,7866230,4993107,3016555,1752782,997111,254128022,3016551,254128024,1754441,1754442,3019004,1754474,1754475,3018742,254127982,3018740,1754301,1754300,3018738,4996039,4996040,7870089,11786470,267768114,7869594,7869593,11785959,11785982,7869613,7869614,11785987,11787557,11786453,7870073,4996024,4996025,7870076,5354733,5354734,8300316,12290288,16852382,11785792,7869432,7869430,7866224,4993099,4993098,7866221,7870091,11786474,16837614,11774528,11774529,16837616,17436386,12290297,12290298,11783051,7867321,7867323,7870879,7869833,7869832,11786202,7869813,7868521,4994872,3017800,3017802,4994876,7866536,4993325,4993326,7866540,254556994,17436383,16837603,11774510,11774509,16837601,17436332,12290215,8300249,8300248,11785042,16851471,16849952,11783938,11783937,16849949,23099416,16843252,16843254,23099420,23098438,16842508,11778422,7867301,4993869,3017126,1753214,1753213,3017123,4993862,7867282,11782095,254372192,16847842,11784478,7868497,7868498,7868525,7868527,11784513,16850718,11784504,11784505,16850720,16836645,16836646,23091152,16843962,11779549,7864931,4992341,4992342,7864934,11779553,11782065,11784879,7868789,4995052,4995051,7868786,11784877,16851226,16849228,16849227,23107255,23098444,16842515,11778425,7867293,7867295,11783020,11783024,11783185,16849078,16847829,11782089,11782091,7870455,4996339,4996338,6873628,6873714,10425638,13072229,8907836,8907839,13072236,16927723,11847506,7918377,7918374,11847499,12022577,12936284,12022606,12022607,8800630,8800632,11773839,7860639,4989011,4989010,7860646,11773849,16836633,21042167,15114271,10425252,6873475,6873476,10425256,15069487,15114577,15114511,15114510,16126279,22267390,23107145,16849118,16849117,23106972,16848897,254815484,4993856,4993857,7867270,11782982,11846297,12936202,8800636,8800637,12936207,18237338,15114704,15114703,17112025,17112026,18237318,23195283,30615803,23195971,16928098,11847791,7918580,7918582,11847797,16928106,21042177,15114818,15114819,16929904,11848983,7919438,7918484,7918482,11847640,11847667,11847666,16849016,16849015,21042637,15114750,10425619,10425617,6873753,4314921,4314922,5034982,5034984,7919433,11787871 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15272112, s2 = 10980316, dlinesl.size( ) = 2 s1 = 15272112, s2 = 10980316, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15272112, Dl.E( ) = 2, 3.81e-06 seconds used appending s1 = 10980315, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7563727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7563727, s2 = 8322772, int(edited[s2]) = 0 s1 = 7563727, s2 = 8322772, d1 = 102, d2 = 146 Dl.O(d1) = 268035568,10036520,6595728,4132077,2471731,2471735,2708591,2708586 Dl.O(d2) = 41742799,32821812,25117706,18566870,13193984,13193983,18566869,25117705,32821810,257174891,63876487,76987632,90865987,105044804,119237156,133066911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7563727, s2 = 8322772, dlinesl.size( ) = 72 s1 = 13205516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13205516, s2 = 1302838, int(edited[s2]) = 0 s1 = 13205516, s2 = 1302838, d1 = 3, d2 = 8 Dl.O(d1) = 13967830,13967829,9591119,6296484,6296485,8839753,5760757,5760758,8839536,5760645,5716916,5716917 Dl.O(d2) = 8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777844,8917541,9184726,13433819,254456400,18613727,25172352,32880825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13205516, s2 = 1302838, dlinesl.size( ) = 10 s1 = 14079502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12624296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10382669, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14085410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14055451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055451, s2 = 14085409, int(edited[s2]) = 0 s1 = 14055451, s2 = 14085409, d1 = 31, d2 = 9 Dl.O(d1) = 255719111,14106803,9703460,8859763,6203464,3882816,3882815,2403464,2403463,2360568,2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333 Dl.O(d2) = 3856675 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055451, s2 = 14085409, dlinesl.size( ) = 28 s1 = 12855148, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10685465, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14333982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14225900, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14225900, s2 = 164917, int(edited[s2]) = 0 s1 = 14225900, s2 = 164917, d1 = 165, d2 = 202 Dl.O(d1) = 3745559,3745558,5990100,6244465,3908956,2340593,1356640,773577 Dl.O(d2) = 25772632,19132534,13661245,9355082,6127710,3833826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14225900, s2 = 164917, dlinesl.size( ) = 62 s1 = 12855680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14260098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14136121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11589971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12776517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14046696, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158534, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14283034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14283034, s2 = 14222367, int(edited[s2]) = 0 s1 = 14283034, s2 = 14222367, d1 = 22, d2 = 25 Dl.O(d1) = 67427406,55092750,44256384 Dl.O(d2) = 2423742,4049327,6462126,9809785,14275224,19931029,26783432,34827257,44169663,52364158,52364159,60859878,50294026,40272676,40272677,50294027,48388251,48388250,59771153,53884523,53223879,42773233,42773234 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14283034, s2 = 14222367, dlinesl.size( ) = 2 s1 = 14283034, s2 = 14222367, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14283034, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 15307037, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14283270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11534263, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14326524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14326524, s2 = 8111075, int(edited[s2]) = 0 s1 = 14326524, s2 = 8111075, d1 = 46, d2 = 1 Dl.O(d1) = 258416006,17160159,12063686,12063687,10572359,6973453,6973452,5403660,5403663,8372791,6974683,6974684,10574038,254654819,3796738,3796739,3794114,2272654,1317987,1317988,2272655,255268677,256137369,268406342,15865196,10996119,7279194,7160179,4509650,2709800,1569823,892569,503640,503642,892574,1569834,2709824,4509702,7160302,10831917,256346385,256999905,255511199,4971300,3002747,3002746,2439008,1410191,1410192,2439012,4072981,2437131,1409242,1409241,2437125,2429844,2429843,2429837,2429836,4059731,4536483,6478485,4536205,4536206,4533900,4074062,2437697,2437698,4074066,4067808,4067807,6491997,9881316,14375338,16014167,11118593,7374619,7146794,4500255,4062530,2431321,2431320,4062544,6483196,4873927,4873928,7701008,11569778,16590052,22807483,16590215,11569979,11569980,256344535,21665381,264171667,184637072,193015640,193015646,200204315 Dl.O(d2) = 19898971,14254792,9797870,254575958,4039895,6440670,4472853,4472854,4501803,2705298,2705299,4501807,6602756,10047921,10052169,6605279,6605280,10052173,14608655,18540023,16794749,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,12906531,18196414,20292813,20292812,20292735,20292736,20292771,25061318,23783461,17453200,12303567,12303568,10020761,6586175,4126367,4126366,6586169,10020752,11513745,10789801,10789802,15597183,21628131,24267341,17888529,257685337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14326524, s2 = 8111075, dlinesl.size( ) = 14 s1 = 8610812, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14326628, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11004933, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12858684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11403045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14284272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12859074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15307265, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15307314, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15307314, s2 = 10594959, int(edited[s2]) = 0 s1 = 15307314, s2 = 10594959, d1 = 117, d2 = 128 Dl.O(d1) = 245232744,245232745,245384340,245526995 Dl.O(d2) = 207723858,263614062,194972019,186880082,262797966,186880078,194972002,194972001,263614056,194971992,186880059,177592862,177592861,177592880,167087395,155447595,142865356,129546772,129546773,142865359,155447601,167087404,177592894,186880096,194972037,194972011,186880075,186880074,194972009,194972005,263227586,207723858,263614062,263614060,263614058,194972015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15307314, s2 = 10594959, dlinesl.size( ) = 20 s1 = 14167804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526627, s2 = 11609114, int(edited[s2]) = 0 s1 = 11526627, s2 = 11609114, d1 = 12, d2 = 8 Dl.O(d1) = 266367055,236127363,274758477,237449623 Dl.O(d2) = 266913501 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526627, s2 = 11609114, dlinesl.size( ) = 14 s1 = 14326826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14326826, s2 = 11180634, int(edited[s2]) = 0 s1 = 14326826, s2 = 11180634, d1 = 33, d2 = 22 Dl.O(d1) = 255397447,28559240,37060142,37060141,37060140,46938612,58304625,71019838,257434484,37060142,46938613,58304628,58304629,58304627,71019836,71019839,84584066 Dl.O(d2) = 259373356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14326826, s2 = 11180634, dlinesl.size( ) = 30 s1 = 12859958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12781597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12781613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12781613, s2 = 14334165, int(edited[s2]) = 0 s1 = 12781613, s2 = 14334165, d1 = 1, d2 = 1 Dl.O(d1) = 52685224,42298527,255537848,16561695,255151182,22879288,30276473,31397763,31397762,33327078,29949621,29949622,38514071 Dl.O(d2) = 52685224,42298527,255537848,16561695,255151182,22879288,30276473,31397763,31397762,33327078,29949621,29949622,38514071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12781613, s2 = 14334165, dlinesl.size( ) = 2 s1 = 12781613, s2 = 14334165, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12781613, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 14334166, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12903558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11112117, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112117, s2 = 11398192, int(edited[s2]) = 0 s1 = 11112117, s2 = 11398192, d1 = 12, d2 = 6 Dl.O(d1) = 260544221 Dl.O(d2) = 153877831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112117, s2 = 11398192, dlinesl.size( ) = 14 s1 = 11119025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119025, s2 = 12499785, int(edited[s2]) = 0 s1 = 11119025, s2 = 12499785, d1 = 3, d2 = 58 Dl.O(d1) = 48798075 Dl.O(d2) = 104073822,118232772,132052527,145289319,135745215,121805708,107423055,107423056,121805709,107423064,259092493,65568914,258463155,93014300,107423056,107423062,93014304,93014303,107423061,260938213,107423064,259092493,65568914,258463155,93014300,107423056,121805709,107423064,259092493,65568914,53544092,43065030,34007281,26165674,255298147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119025, s2 = 12499785, dlinesl.size( ) = 14 s1 = 11491711, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11430879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430879, s2 = 13192650, int(edited[s2]) = 0 s1 = 11430879, s2 = 13192650, d1 = 34, d2 = 28 Dl.O(d1) = 272769774,272448983,272448980 Dl.O(d2) = 4054999,4052401,2425349,2425347,4052393,2426046,2426047,2450127,2425975,2242450,2242449,2427114,1404070,799037,799038,1404073,2427122,1452818,1452817,2521125,2404992,1391673,1391672,798734,798733,798722,798721,1403496,2426231,4053736,6469400,9849676,14337646,9850857,9850856,9737207,9737206,9849730,6592593,6592592,9848072,6468155,6468154,4053706,4053707,6469369,4053708,4053709,4017429,4017428,6403170,9737209,9850875,9848017,6468084,4052741,4052742,6468087,6469374,6469373,8979579,13172736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430879, s2 = 13192650, dlinesl.size( ) = 14 s1 = 11072859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12860562, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11245415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11245415, s2 = 1574890, int(edited[s2]) = 0 s1 = 11245415, s2 = 1574890, d1 = 31, d2 = 4 Dl.O(d1) = 261150009,262101216,257437756 Dl.O(d2) = 39892999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11245415, s2 = 1574890, dlinesl.size( ) = 30 s1 = 16360080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16360080, s2 = 8251468, int(edited[s2]) = 0 s1 = 16360080, s2 = 8251468, d1 = 12, d2 = 31 Dl.O(d1) = 59058121,269329591,37736091,29175448,21865165,15791980,10941191,7239821 Dl.O(d2) = 259342487,86814587,86814588,86822854,73210248,60463661,49060198,39130402,30531875,23113355,254249304,4996635,254172980,16854315,17436380,254249300,7869833,7869832,11786202,7869813,7868521,4994872,4994871,7867080,7867066,7867067,7864681,7864680,4994859,4994857,7868487,11774475,16837570,11786429,11786349,11786347,11779516,11779518,11773913,10425384,6873554,6873556,7088765,7088762,10728970,15513177,21525351,16854052,11787316,7870764,7870767,11782034,8300131,5354597,5354596,8300126,8300262,6873615,6873617,10425486,11783059,11782996,7867276,7867275,11782993,11787670,16854497,16792402,12022677,12022679,13995283,16842681,23098645,254174670,254375924,6877165,4317009,2581910,2581908,4317006,6877160,10431536,15123960,21000880,21000883,21709429,24511853,27969092,20806092,20806091,18083143,12820144,255215985,256574289,31023891,23542594,23542595,255993077,39701030,49719613,61198076,73976278,87574445,101532182,115561432,129439036,142757819,155349132,167001513,177517613,262793382,167001512,177517610,186810226,194906827,263911434,207674428,207068840,201127724,194076455,194076454,185846753,261737688,176409379,165747037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16360080, s2 = 8251468, dlinesl.size( ) = 34 s1 = 11249993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11249993, s2 = 14044935, int(edited[s2]) = 0 s1 = 11249993, s2 = 14044935, d1 = 14, d2 = 42 Dl.O(d1) = 256442188 Dl.O(d2) = 142876047,155457745,167096134,177599723,177599739,262919174,186885342,177599735,167096146,155457755,142876057,129557506,115671195,115671194,129557503,142876052,142876069,155457751,142876055,142876054,142876048,261817785,167096136,262919180,177599730,186885338,263709098,186885340,186885339,263228050,262326260,142876050,142876049,262326255,263228049,177599724,177599723,177599739,262919174,186885342,177599735,167096146,155457755,142876057,129557506,115671195,101630150,101630151,115671197,129557511,142876065,142876058,129557508,129557509,261274278,261274277,261817789,167096154,167096152,155457759,155457758,262326257,177599736,167096149,155457757,142876059,129557508,129557509,261274278,115671198,101630152,87662636,258241494,49800530,49800531,61278943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11249993, s2 = 14044935, dlinesl.size( ) = 14 s1 = 10986681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10986681, s2 = 8527841, int(edited[s2]) = 0 s1 = 10986681, s2 = 8527841, d1 = 32, d2 = 65 Dl.O(d1) = 256101361 Dl.O(d2) = 95655397,95655396,109858399,123996777,137677753,272785925,150674072,273063011,173767644,263447871,173767642,162768240,150674074,150674075,162768242,173767644,162768241,150674074,150674075,150674078,137677756,123996778,261011561,150674075,150674078,137677756,137677755,150674077,162768244,272884465,39260429,30664883,30664882,255981442,49339318,49339319,258216993,269555871,33983526,42700657,260908657,262501861,263225604,73370889,257601061,39296892,30699253,30699254,39296896,39883209,37002456,36951756,28451586,21224853,18829448,13415512,9172547,9172546,13415505,15387601,10634144,7019784,7019783,10634135,15387586,10646351,10646353,14497442,18009914,12763593,12763594,18009921,20110349,14421395,9919860,6519596,6519593,9919850,14421380,20110327,21359771,28591361,37002437,32233019,24635469,18180019,12893089,8769244,5710507,5710509,8769253,12893107,18180046,24635515,21432189,18179986,15343509,10598229,10598231,15343501,21313959,28536943,28677020,28677021,31444938,28624431,28624434,37137250,46912313,46912314,38839864,37137155,28624333,21386664,21386665,21386681,21386680,28624346,37137129,28624321,28624320,37110578,33481182,25707674,25707673,30255996,28665095,21419165,15428573,10665951,7044165,7044167,10665956,15428582,21419180,21419228,28665177,28677035,28677034,37199792,46649149,40124103,31444735,23953057,23953056,31444731,28677030,28677031,37199787,33556964,28624414,28624415,28624425,28624426,37137241,47025493,52475989,47081429,37186180,37186182,47081432,37734992,29174367,21864277,21864280,29174373,30893019,23460054,23460056,30255988,22860723,16634289,16634290,22860730,30256006,37186122,28665049,21419135,15428553,15428554,21419142,28665061,36834257,33268200,33268199,38839881,42474504,33481121,33481120,42474500,47017909,40793340,32035856,32035855,40793339,257641330,60152512,52632845,42247623,33268226,33268227,42247626,48758280,48758281,60152460,72888588,72888587,64797551,52878301,48759158,38839646,30256133,22860844,22860846,30256134,38839649,48759161,60153088,57866835,57866834,60153084,48759116,38839594,38839517,30255976,22860709,22860711,30255065,30254992,30254988,22859819,16633630,16633629,22859817,30254986,38838707,256928611,38074906,47987743,48758682,38838991,30255324,22860108,16633829,11603104,7724177,4889180,4889182,7724121,11603020,13622212,9327838,9327840,6110186,6110187,9327875,13622261,19080423,25707344,26621377,23356852,17088613,12001118,8054528,8054529,12001120,17088618,23356856,28168106,20987938,15075096,15075095,20973094,20973092,19672047,19672049,22861102,16634540,11603513,11603512,16634532,22861086,20113999,14424756,14424757,20114003,22860043,255307918,33042168,33042166,38838047,34280477,34280478,30885312,25314468,25314469,26404408,19671269,19671270,26405662,30675262,25314440,25314438,26406323,26406324,26404435,19670162,14100491,9698416,9698415,9113615,5962929,5962930,9113623,13338755,18737119,19670400,14100671,14100670,19670398,17020002,17020004,19671550,14101581,14101582,15413890,17176321,19880381,19880378,26701310,30254331,22859189,22859187,30254320,33042283,28559966,21333777,15360711,15360712,13338811,13338812,18737222,18737181,17176369,17176371,19671911,14101844,9699291,6379198,4002300,4002301,6379202,9699301,14101855,16433441,22618122,26406340,34281076,39901023,31224287,23741029,23741028,254678248,41986475,33042657,25314715,25314713,256708762,18710640,25283522,33008551,41950823,260854725 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10986681, s2 = 8527841, dlinesl.size( ) = 66 s1 = 16361013, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12861320, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14327080, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11047657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047657, s2 = 11365216, int(edited[s2]) = 0 s1 = 11047657, s2 = 11365216, d1 = 4, d2 = 1 Dl.O(d1) = 256656755,52761356,43260032,34169843,34169844,42332896,52720020,259045417,70936724,58219434,46851574,36972866,30841278,23411482,23411483,30841283,39445665,49374095,48752021,48752022,42452199,33459258,25687363,25687362,256662161,37260515,37260514,47166371,48735324,38833205,30249578,22854966,16629474,16629475,22854969,30249580,38833209,48753274,60147583,58555318,47166370,47166371,48735324,38833205,30249578,30249577,38833204,48753265,60147575,70936731,58219442,46851580,36972868,30841278,23411482,23411483,30841283 Dl.O(d2) = 269945865 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047657, s2 = 11365216, dlinesl.size( ) = 2 s1 = 11047657, s2 = 11365216, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11047657, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 11056899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056899, s2 = 13032737, int(edited[s2]) = 0 s1 = 11056899, s2 = 13032737, d1 = 19, d2 = 17 Dl.O(d1) = 256354097 Dl.O(d2) = 255519547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056899, s2 = 13032737, dlinesl.size( ) = 24 s1 = 13710507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12862100, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414439, s2 = 3356465, int(edited[s2]) = 0 s1 = 11414439, s2 = 3356465, d1 = 43, d2 = 42 Dl.O(d1) = 183820206,183820207,192298148,199602295 Dl.O(d2) = 109539575,95284928,81227345,67761232,260408475 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414439, s2 = 3356465, dlinesl.size( ) = 24 s1 = 11263687, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12862290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11551083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11551083, s2 = 4017660, int(edited[s2]) = 0 s1 = 11551083, s2 = 4017660, d1 = 28, d2 = 1 Dl.O(d1) = 229201677 Dl.O(d2) = 147270748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11551083, s2 = 4017660, dlinesl.size( ) = 34 s1 = 11188745, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11188745, s2 = 11162842, int(edited[s2]) = 0 s1 = 11188745, s2 = 11162842, d1 = 32, d2 = 29 Dl.O(d1) = 255151568,22000585,22000586,29331145,23159628,16898387,11825806,7903183,7903184,11825809,16898393,23159636,17394681,13516814,9249180,6057514,3790299,2270630,2270445,2270448,1316920,1316921,2270539,3322010,3322004,3322006,5403218,8372095,5403256,5403254,6969934,6969935,9263436,7246453,4568981,4568987,2748107,2748103,4569003,7246495,9940855,14449554,20143930,15212169,10493322,10493324,15212177,12249062,12249064,254644776,31194340,39875661,49897216,49897211,49897210,61377622 Dl.O(d2) = 61377627,74158088,87762368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11188745, s2 = 11162842, dlinesl.size( ) = 34 s1 = 16232186, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13231760, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13231760, s2 = 8945680, int(edited[s2]) = 0 s1 = 13231760, s2 = 8945680, d1 = 30, d2 = 111 Dl.O(d1) = 19516277 Dl.O(d2) = 266917979,266808679,266808676,238797815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13231760, s2 = 8945680, dlinesl.size( ) = 46 s1 = 502387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 502387, s2 = 11437604, int(edited[s2]) = 0 s1 = 502387, s2 = 11437604, d1 = 15, d2 = 61 Dl.O(d1) = 12772880 Dl.O(d2) = 263911272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 502387, s2 = 11437604, dlinesl.size( ) = 12 s1 = 15307610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436647, s2 = 11154814, int(edited[s2]) = 0 s1 = 11436647, s2 = 11154814, d1 = 15, d2 = 2 Dl.O(d1) = 271851634,113644636,113644635 Dl.O(d2) = 85681603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436647, s2 = 11154814, dlinesl.size( ) = 16 s1 = 13658443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6426214, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11364035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364035, s2 = 11209550, int(edited[s2]) = 0 s1 = 11364035, s2 = 11209550, d1 = 27, d2 = 22 Dl.O(d1) = 156066270,152181334,139457610,260661476 Dl.O(d2) = 265701044,264182332,200345958,206399027,263859962,263102140,152642581,263100975,175268621,263100974,139936531,261107792,259928328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364035, s2 = 11209550, dlinesl.size( ) = 2 s1 = 11364035, s2 = 11209550, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11364035, Dl.E( ) = 28, 1e-05 seconds used appending s1 = 11359375, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359375, s2 = 11652018, int(edited[s2]) = 0 s1 = 11359375, s2 = 11652018, d1 = 35, d2 = 47 Dl.O(d1) = 274352153,195476204,195476205,202336228,208103230,202336236,263647463,178238224,178238222,187455380,195476208 Dl.O(d2) = 274234885,274044788,265143289,274044788,273237780,81261893,258413512,14511373,14511372,19787720,19787719,19804827,26613090,255068690,25046102,255443134,12544894,8503982,5504340,5504339,8503980,12544892,17731530,22284762,21903184,21903185,29217523,37778362,37961752,37961751,31592296,25758861,25758860,29213036,21898932,15820072,254522562,7257139,10963563,9592819,9592817,13970000,16414216,11430142,11430144,16414221,22597288,21900396,15821121,10964194,10964198,13744868,9417246,6170258,6170260,6103199,6103201,9316895,9417233,9417236,13744844,19238305,23089718,23089717,30503922,267972200,29634099,255445882,258734056,257154366,27068561,20173714,14474179,9958825,6545283,4100607,4100606,6545280,9958818,14474162,20161714,20949436,20949437,255482528,4355118,2608761,2608765,4355133,6931634,10511615,15237799,16575768,11556776,11556775,16575764,16794364,11742669,7840012,7606740,4812369,2900245,2900247,4812375,7606754,11439435,12323447,16411109,13439580,13439581,13558934,17478823,12323456,12323457,17478834,16423924,11439942,7607149,4812639,4812638,7607142,11439928,16423902,14919560,10259168,6741572,6741573,8175525,5245143,5245141,8175542,12145718,17266064,19823947,14200270,9761536,9761541,14200287,16436068,16436069,21204243,17842784,12636824,8579935,5574693,3458121,3458124,5574703,8579969,9693713,6375693,6375688,9693692,14093824,15479384,15479381,21204038,15238219,10511889,6931804,6931803,10511881,15238202,12185848,8216368,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006804,9955942,6543476,6543475,9955937,14470076,17122654,12032907,12032906,15095541,10411259,10411260,15095544,21017852,16652330,11619883,11619885,16652333,22880714,255100478,13691957,13347523,9120508,5967848,254645817,13347510,14923574,20821351,27986144,27990193,21630039,15598996,15598995,19465318,15370073,10620277,7008891,7008892,9561598,9561600,13930486,19465315,20831468,25254870,22940640,22940639,20094972,14407610,9909737 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359375, s2 = 11652018, dlinesl.size( ) = 46 s1 = 10404874, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11639871, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639871, s2 = 6899178, int(edited[s2]) = 0 s1 = 11639871, s2 = 6899178, d1 = 190, d2 = 133 Dl.O(d1) = 267625115,247179273,247214793 Dl.O(d2) = 259880416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639871, s2 = 6899178, dlinesl.size( ) = 50 s1 = 10840365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10840365, s2 = 10840349, int(edited[s2]) = 0 s1 = 10840365, s2 = 10840349, d1 = 28, d2 = 16 Dl.O(d1) = 246730892,246794987 Dl.O(d2) = 247025255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10840365, s2 = 10840349, dlinesl.size( ) = 30 s1 = 15272551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12791663, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7414744, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11208865, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11208865, s2 = 63266, int(edited[s2]) = 0 s1 = 11208865, s2 = 63266, d1 = 127, d2 = 136 Dl.O(d1) = 84644757,98567515,98567514,98567515,257435880 Dl.O(d2) = 255226829,8814406,5742154,3575487,2709275,2709273,2263062,1313025,1313022,2263124,2263120,2263124,2263114,2263117,2263207,2263212,3778384,6039666,9223021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11208865, s2 = 63266, dlinesl.size( ) = 14 s1 = 11552931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552931, s2 = 11567248, int(edited[s2]) = 0 s1 = 11552931, s2 = 11567248, d1 = 22, d2 = 35 Dl.O(d1) = 266094273 Dl.O(d2) = 237401552,238130182,238793341,238130178,266355704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552931, s2 = 11567248, dlinesl.size( ) = 16 s1 = 11246671, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11269101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11269101, s2 = 11428846, int(edited[s2]) = 0 s1 = 11269101, s2 = 11428846, d1 = 3, d2 = 47 Dl.O(d1) = 109868796 Dl.O(d2) = 262534293,260938125,107422065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11269101, s2 = 11428846, dlinesl.size( ) = 16 s1 = 14119983, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14119983, s2 = 15913895, int(edited[s2]) = 0 s1 = 14119983, s2 = 15913895, d1 = 51, d2 = 52 Dl.O(d1) = 166585896,177159129,186507027,194654194,263251010,177159130,261846992,154885922,166585897,263207761,184668379,175079141,262353454,166585886,166585887,177159119,186507025,263946881,201631561,263982202,263251006,166585893,154885916,142252403 Dl.O(d2) = 256474259,30680297,258207237,73349861,60604726,49203886,39277270,30680298,23263693,17000149,11913802,7969459,5070834,3074322,1793451,1023053,576467,322602,322603,576503,1023107,894409,504588,504590,894414,1022308,1022333,576022,576023,1022339,1029887,1029886,1014637,571928,320360,177432,177433,320692,572393,1015467,1780808,1020567,1020568,1032113,581682,580378,324576,179280,98607,54521,54519,98598,179260,324535,321891,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320970,573156,1014380,1022503,1573170,2714925,1573084,1573083,1779474,3054094,1806369,1806367,1792102,1024259,1024263,1792140,1024464,577284,322987,322988,321357,177722,177726,321343,573937,838550,838551,843447,843448,1483048,1483047,849021,849023,1481892,838709,478293,269179,149192,149193,146665,80593,44128,24522,24525,44135,80610,146691,265045,149506,149505,269736,265264,146827,146825,265256,472120,837753,845801,477478,268687,268686,477354,475342,267255,148879,148880,267298,267299,475424,475512,473343,473340,477955,477952,479673,479671,842425,840964,840965,474214,266554,266557,474225,477922,478306,846346,477906,268959,268961,474463,474435,266698,266695,266685,266683,474412,841238,842476,842475,1488766,1488399,842201,474990,267037,147849,81288,81287,147844,267028,474978,842174,842254,475065,475066,475749,843239,845983,837694,472076,472075,837688,475567,475569,843025,1488516,1488515,1489134,2572156,1480903,1480907,1483198,1483197,1494691,2591856,1498907,1498908,2598279,4320098,2584033,1489057,1489058,2580910,2583702,1488785,842487,475178,475176,842483,1488778,1488840,2583782,1488897,842551,479754,479755,849472,1498881,2586569,1494470,1494469,2584488,2584487,4315073,2591427,1494350,1494351,2591429,2583671,1488734,1488735,2583672,4319725,6881687,254492302,4331508,254326505,2572099,2577168,2577171,1488979,254221543,1494828,1494829,2592002,254491069,4323207,2586201,2586202,254328153,1490654,1490655,2586091,4308194,2578928,1485479,840306,840309,840261,840259,1485398,840328,840326,840275,473828,266320,266321,473832,840287,1485446,1486294,1486296,2580190,4313718,2579752,1486028,1486024,2579741,4311887,2578399,1485126,840109,840110,1485132,2578410,2596840,2596839,4313072,4313071,2579993,2579991,1486274,840768,474062,474061,267763309,2580148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14119983, s2 = 15913895, dlinesl.size( ) = 28 s1 = 11198167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336328, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11606767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11606767, s2 = 7220725, int(edited[s2]) = 0 s1 = 11606767, s2 = 7220725, d1 = 37, d2 = 0 Dl.O(d1) = 266902325 Dl.O(d2) = 200384316,264185210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11606767, s2 = 7220725, dlinesl.size( ) = 30 s1 = 14327858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11468927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468927, s2 = 14854681, int(edited[s2]) = 0 s1 = 11468927, s2 = 14854681, d1 = 51, d2 = 85 Dl.O(d1) = 207214473 Dl.O(d2) = 73823910,73823911,87437161,101413634,115461405,129358065,142696303,133594122,119719811,105480641,91258509,77338892,64191880,256690950,33059246,33059247,33059161,33059163,32679358,25001292,18475671,13125836,8946468,8946470,13126425,13126420,18333407,18333411,18479969,13128802,12884206,12884204,18167827,24618481,255295258,18474556,24999627,28178757,20996834,20996839,28178795,32680417,32680419,30310899,30310894,30311144,22911333,22911329,18333111,13125830,8946473,8946475,13125812,8946453,8946456,13125812,8946453,8946456,13126434,13126432,9371488,9371494,13684605,18479136,13128210,13128207,18070103,24496976,32068366,40525414,38899137,30312745,30312746,38899138,48821113,60217993,72773405,86370016,87929436,87929442,80555082,67103919,54810045,54810046,54808249,54808250,54808332,54745667,54745669,54786315,53969324,43434279,43434280,34740321,34740324,44048634,49519955,39569252,30945051,23498080,17212145,12105148,8140230,8140235,12105137,8141213,5215598,5215596,8141280,12107301,17220807,19956225,19956229,14314357,14289228,9832479,6458836,4048004,4048005,2423488,2423485,4048378,6459588,9833719,14315141,19910482,19910479,26752897,34784558,44115715,49521562,60940956,58582515,58582518,48644217,38723965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468927, s2 = 14854681, dlinesl.size( ) = 28 s1 = 11336887, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11336887, s2 = 11063202, int(edited[s2]) = 0 s1 = 11336887, s2 = 11063202, d1 = 14, d2 = 16 Dl.O(d1) = 260072884 Dl.O(d2) = 269370934,39302869,30705052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11336887, s2 = 11063202, dlinesl.size( ) = 12 s1 = 11199779, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11199779, s2 = 10344388, int(edited[s2]) = 0 s1 = 11199779, s2 = 10344388, d1 = 28, d2 = 48 Dl.O(d1) = 256559006,106924854,121194179 Dl.O(d2) = 259896798,25626826,33391957,29800801,22434448,16266653,11309660,7508652,7508651,6085567,6085570,6118397,3828112,2293470,2293469,3828109,6113738,9333697,13630906,14330786,19107336,19107337,17842408,12634932,12634933,13547444,9364600,9364599,13616833,13624382,13624398,9329352,9329350,13624390,19082975,19087706,13627812,9331742,9331743,13627813,19087708,19107382,25740772,33520500,255956549,16791857,11740908,7838821,7838823,11740914,8565560,8565561,12618626,16885198,16885197,13625416,9330023,9330022,13588522,13588523,18580881,22432303,25655391,25655390,20063564,20063565,19037361,19037360,256143457,19155389,13678269,13678270,19155392,22834653,17445571,12297413,12297414,17445574,19126578,19126579,25654384,25654383,33422988,25767594,25736423,19127829,19127827,21762852,21762850,22663192,16468558,16468559,22663198,30038811,22663243,22663245,21998402,15899078,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,22431606,22431604,29798135,33584857,42378431,33557228,29799816,29777883,29777882,22800438,22800435,257683557,40453575,31759010,256149137,17683098,12505639,12505640,9363993,6133710,6073745,3800299,3800301,6073753,9272402,6912456,6912455,10484235,9329246,6111084,6111087,9329258,9302305,9302302,9289952,6085612,6085614,7477156,4725545,4725547,7477165,9288140,6084503,6084504,9288144,13565819,13630723,19092254,19092260,19092259,15241129,10514093,6933406,6933407,10514099,9361133,6131635,6131634,6913159,4341920,2599570,1499731,849979,480044,270210,149812,149813,270213,480050,254329169,267960435,15200895,15200894,19025525,19025524,25631172,29802286,22436260,22436261,25751954,19113721,13646195,13646194,16138235,11210664,7438414,7438413,11210661,255461495,25649581,19031411,19031410,25649578,19031479,19031478,22394840,19126245,13656128,13627856,13627855,19025584,19025583,25620493,25592523,25592524,19035635,13609446,13609447,19063625,25687511,25640497,25640496,26890867,20063610,14379351,9885266,6495040,6495039,268047225,20063593,25767940,25767810,25767811,25698353,25698352,30038768,24241809,24241808,24192250,21762820,15706829,14555361,14555362,15899070,11021910,11021911,15899081,13568201,13568203,19006075,19006076,14108452,14108448,19041184,19041187,25660275,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250214,28374672,36871279,33390953,33390954,42378957,33390694,33389313,25623676,19009087,13566879,9288910,9288912,13566883,17869819,12654544,11308653,7508038,7508040,11296811,16248929,22413251,29777850,24119035,24119034,268329878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11199779, s2 = 10344388, dlinesl.size( ) = 46 s1 = 11586607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11586607, s2 = 14279565, int(edited[s2]) = 0 s1 = 11586607, s2 = 14279565, d1 = 38, d2 = 45 Dl.O(d1) = 266468545,234311142,233208947 Dl.O(d2) = 170569272,159231716,159231717,164397796,260859226 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11586607, s2 = 14279565, dlinesl.size( ) = 16 s1 = 11610065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610065, s2 = 12822617, int(edited[s2]) = 0 s1 = 11610065, s2 = 12822617, d1 = 8, d2 = 5 Dl.O(d1) = 266955488,240173246 Dl.O(d2) = 274794102,237695421,236922236,236072857,235138893,274631484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610065, s2 = 12822617, dlinesl.size( ) = 8 s1 = 11622911, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11312503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11312503, s2 = 4234969, int(edited[s2]) = 0 s1 = 11312503, s2 = 4234969, d1 = 53, d2 = 42 Dl.O(d1) = 262326423,177603009,263348595 Dl.O(d2) = 260828705,145858438,262566291,149988524,149988523,162196295,162196296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11312503, s2 = 4234969, dlinesl.size( ) = 14 s1 = 14302940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14302940, s2 = 906881, int(edited[s2]) = 0 s1 = 14302940, s2 = 906881, d1 = 16, d2 = 12 Dl.O(d1) = 104091930,89960841,79268190,65905937,65905938,79268188,65905933,53839121,270069535,93394504,107816567,102103108,88116628,74505408,270860884,95311642,81250729,81250728,90894352,259006910,55438205,44588662,35208656,255645660,20214479,14505312,9981180,6560277 Dl.O(d2) = 3010393,4983709,254809265,16816966,23065908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14302940, s2 = 906881, dlinesl.size( ) = 2 s1 = 14302940, s2 = 906881, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14302940, Dl.E( ) = 18, 2.29e-05 seconds used appending s1 = 8885852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8885852, s2 = 14362503, int(edited[s2]) = 0 s1 = 8885852, s2 = 14362503, d1 = 62, d2 = 77 Dl.O(d1) = 274360457,274476691,230284991,231676730,232927779,234061082,234061079 Dl.O(d2) = 243843360,267407771 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8885852, s2 = 14362503, dlinesl.size( ) = 66 s1 = 10424143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15191506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12867830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11096515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336460, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336460, s2 = 11537200, int(edited[s2]) = 0 s1 = 14336460, s2 = 11537200, d1 = 52, d2 = 41 Dl.O(d1) = 59283344,47886843,37968402,255526706,22149877,28874167,24681088,24681090,29404349,37968404,38121878,29556494,25495000,25495001,18890221,18890218,25495024,33245458,28168616,28168617,29556604,22211600,16080650,11167610,7408893,4681447,2820630,1636428,930531,524476,524475,930528,1636422,2820620,4681434,7408876,11167585,16080599,268395741,23977700,17630480,17630479,255686829,13672187,13672186,19071690,13615456,9323027,6107026,3821141,3821142,6107032,7383342,254350391,1630286,1630285,2810255,4664603,4664666,4664589,4664590,7383319,11130982,16030688,22149842,29488175,256926713,47964963,52636631,42251343,33271957,255300666,254940576,13647121,12953840,8814475 Dl.O(d2) = 265128048,214721556,214721554,214721555,218213516,265812637,227731835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336460, s2 = 11537200, dlinesl.size( ) = 2 s1 = 14336460, s2 = 11537200, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14336460, Dl.E( ) = 54, 1.6e-05 seconds used appending s1 = 11070225, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11296409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296409, s2 = 8288128, int(edited[s2]) = 0 s1 = 11296409, s2 = 8288128, d1 = 66, d2 = 72 Dl.O(d1) = 259139655,257293329 Dl.O(d2) = 259282734,85836045,259282732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296409, s2 = 8288128, dlinesl.size( ) = 48 s1 = 16341408, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16341408, s2 = 11074848, int(edited[s2]) = 0 s1 = 16341408, s2 = 11074848, d1 = 17, d2 = 11 Dl.O(d1) = 10812830,7145478,4499370,2703601,1566611,1566613,2703611,4499384,4498465,4498463,7144149,6497193,4071205,2436122,1408777,801493,454161,454160,801491,1408774,2436116,4071190,6497164,4071709,2436387,1408902,801551,801552,1408904,2436391,4066327,4066325,4077458,2439656,1410545,802363,802362,1410543,254315639,6506760,9900002,14380784,14380785,10811490,7144274,4498566,4498565,6483556,4062739,2431440,1406388,254213983,4062745,4533300,2725044,1579043,1579042,2725040,4533294,5876187,3668982,2196205,2196206,3668984,4129218,2470067,2470066,4129216,4874044,4074371,2724798,2724799,4074567,2437981,2437982,4074569,6502518,9894921,9138337,5980056,3739478,3739477,2454287,2454284,4103041,6549375,9871158,12373730,14376869,9882891,9882890,10888083,15720282,15720283,20042482,21789129,271316617 Dl.O(d2) = 260355496,259106698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16341408, s2 = 11074848, dlinesl.size( ) = 18 s1 = 11273833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11273833, s2 = 15335520, int(edited[s2]) = 0 s1 = 11273833, s2 = 15335520, d1 = 33, d2 = 65 Dl.O(d1) = 111735333 Dl.O(d2) = 108696826,101715915,87741638,74136006,61354532,49872915,39850709,31168724,255552591,5327291,3274480,3274481,5327294,8257721,12230230,16291916,255601123,8652314,5627782,5627781,8652312,11750637,7845657,268921280,7194990,4532771,2724725,1578863,897654,506448,506443,897630,506465,506467,897714,1578984,2724942,4533124,7195434,10882586,10883866,15720510,15627661,10895767,7206260,4540148,2728895,1580983,898716,267765239,2728855,4540084,7206153,9874557,9874558,14368415,17967643,17967642,21786424,26958255,20074494,14391942,14391943,10893503,9896002,7198038,7193320,4531671,2724025,2724028,4531678,6498266,6498264,7195943,7195942,10883208,268047571,9894616,10812561,7145258,254338691,1566554,890793,502683,281882,281886,502698,802129,454468,454471,802143,1410068,2438768,2439077,2439076,2437627,2437625,4073920,6493200,6493202,7194130,7194129,7193320,4531671,2724025,2724028,4531678,6498266,4071872,2436477,1408945,1408942,2430670,4061281,6481081,7175152,267967289,6497564,4071423,4071424,6497566,9888736,7193368,4531701,4531700,7193365,9889283,6498063,4071745,2436407,2436408,1408917,1408915,2436414,4071756,6498081,8520798,12565731,14389393,9895172,9895173,9895740,9869217,7205813,7205814,10895265,15731704,20067329,19146152,14364540,14364539,14379622,14379623,20063875,21662741,21788623,255740481,9880962,6491746,4067664,254687005,9864388,9862501,9862502,9977592,6557988,6484824,4063557,4063558,6484815,4063550,2431879,1406631,1406630,1406641,1406642,1024840,1024841,1796137,3078201,3078290,3078293,4533737,2725297,2725299,4533747,3423836,3423837,5538370,4533423,2725130,2725128,4533433,6535170,4094677,4073435,2437368,1409358,1409361,2437395,4073501,5030103,6549437,9965159,14372128,14372129,15627150,15627151,12287055,8297900,8297899,10892860,15729489,14355691,9863896,6491291,6491290,9870286,7571299,4788291,4068314,4068315,4068324,4068325,6492771,9882344,14376382,15725986,16617382,15720116,15720113,14376365,9882327,9882328,255074188,267789702,925902,1628276,2806722 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11273833, s2 = 15335520, dlinesl.size( ) = 42 s1 = 16232372, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15299980, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11210477, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11210477, s2 = 15114421, int(edited[s2]) = 0 s1 = 11210477, s2 = 15114421, d1 = 27, d2 = 57 Dl.O(d1) = 256987468,28868232,256880413,268627964,21135986,21135984,23872163,23872164,21312620,15342397,254950090 Dl.O(d2) = 5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,5674998,5675000,8718437,6537217,4095768,2450268,1416636,1416637,2450272,4095790,6537281,4912125,4912124,7756256,11642336,15025018,10352883,10352884,12814598,12814599,18075595,24504079,25004773,18478241,18478242,272519812,273520668,263320413,172471056,178695894,262396209,144513911,260784681,117491327,131289119,144513906,156916463,262396193,144513933,131289137,117491339,103366198,89277142,75522690,258945405,260187535,131289152,135725011,262038069,261098940,121784367,117491323,103366183,260187531,131289116,261650432,261503875,156916530,168374417,178695890,168374478,156916625,148964813,135725049,121784320,107399550,92989160,78877632,78877633,92989164,107399553,121784327,262988885,156916616,144514008,144514007,156916458,144513829,144513830,156916461,161270839,262988891,262988889,187814721,178695885,168374416,168374417,178695890,168374478,156916625,148964813,135725049,121784320,107399550,92989160,78877632,78877633,92989164,107399553,121784326,135725056,148964818,161270760,148964781,148964780,148964838,148964837,262038067,262988895,262396189,144513799,131289038,117491275,117491276,131289043,131289200,131289201,144513812,131289051,131289050,261893299,262862105,263095688,117491361,121784315,121784314,117491388,103366236,103366237,261354467,156916422,156916423,262862101,261893295,271927473,117491271,131289028,131289011,131289012,144513779,144514011,131289210,260187543,103366246,117491402,261354469,262003780,262038061,172471065,263095694,172471113,182423026,178695832,168374340,156916430,144513796,131289033,131289034,144513777,131289011,131289012,144513779,144514011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11210477, s2 = 15114421, dlinesl.size( ) = 14 s1 = 11543743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11543743, s2 = 6808974, int(edited[s2]) = 0 s1 = 11543743, s2 = 6808974, d1 = 20, d2 = 1 Dl.O(d1) = 264868594 Dl.O(d2) = 74790758,88422942,85664166,72077194,258739219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11543743, s2 = 6808974, dlinesl.size( ) = 18 s1 = 11335885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335885, s2 = 11356648, int(edited[s2]) = 0 s1 = 11335885, s2 = 11356648, d1 = 0, d2 = 3 Dl.O(d1) = 260039406,166335832,260639790,261215918,167660291,262226640 Dl.O(d2) = 102253902,260144939,116348814,102253902,88255230,88255231,260144941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335885, s2 = 11356648, dlinesl.size( ) = 2 s1 = 11335885, s2 = 11356648, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11335885, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11525517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11525517, s2 = 6715542, int(edited[s2]) = 0 s1 = 11525517, s2 = 6715542, d1 = 33, d2 = 19 Dl.O(d1) = 264811848,263236414 Dl.O(d2) = 257644877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11525517, s2 = 6715542, dlinesl.size( ) = 30 s1 = 11111171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11111171, s2 = 9411392, int(edited[s2]) = 0 s1 = 11111171, s2 = 9411392, d1 = 63, d2 = 97 Dl.O(d1) = 37272248,37272249,30627290,30627289,39225217,49151962,60551482,73294735,70572387,58160798,46793241,36915501,28417723,28417724,36915503,46793246,258032375 Dl.O(d2) = 15041926,15041925,17875520,12658936,8594711,6816828,6816831,6770736,4243710,4243713,5373471,8326085,8596890,5586016,5586017,8596894,12661153,15029737,17878579,20849727,20345370,14602715,14602713,20345365,21590286,15564195,15564196,21590291,28864697,29424980,37986734,47902719,39322581,30724727,23307049,17045788,11958077,11958078,12745640,17984096,24383589,31915947,40631336,39156466,30559187,30559186,38777500,30193504,268233953,16586175,22803242,30193502,38777496,47618506,48309336,47313655,39320108,30721903,254795782,60320785,61266111,49787108,49787107,50029221,40010629,40010630,50029223,61507362,61507363,74283878,87886096,101859126,115904972,129805068,143137169,142587661,129216068 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11111171, s2 = 9411392, dlinesl.size( ) = 32 s1 = 11219755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11219755, s2 = 11660651, int(edited[s2]) = 0 s1 = 11219755, s2 = 11660651, d1 = 68, d2 = 111 Dl.O(d1) = 272243231 Dl.O(d2) = 233869311,234914734,235866685,236734099,237524640,238242756,266800133,240051749,240565563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11219755, s2 = 11660651, dlinesl.size( ) = 50 s1 = 11228783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228783, s2 = 2142872, int(edited[s2]) = 0 s1 = 11228783, s2 = 2142872, d1 = 17, d2 = 3 Dl.O(d1) = 91178491,262456507 Dl.O(d2) = 58331322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228783, s2 = 2142872, dlinesl.size( ) = 40 s1 = 11466281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11577735, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11577735, s2 = 3527922, int(edited[s2]) = 0 s1 = 11577735, s2 = 3527922, d1 = 35, d2 = 38 Dl.O(d1) = 266266016 Dl.O(d2) = 117521556,103396810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11577735, s2 = 3527922, dlinesl.size( ) = 32 s1 = 11295915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11624645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624645, s2 = 7448917, int(edited[s2]) = 0 s1 = 11624645, s2 = 7448917, d1 = 60, d2 = 26 Dl.O(d1) = 267404847,267454093,245766422,267514611 Dl.O(d2) = 266761246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624645, s2 = 7448917, dlinesl.size( ) = 30 s1 = 11644467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11209445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11209445, s2 = 7120726, int(edited[s2]) = 0 s1 = 11209445, s2 = 7120726, d1 = 41, d2 = 51 Dl.O(d1) = 257446001,22275279,16132752,11206885 Dl.O(d2) = 262835283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11209445, s2 = 7120726, dlinesl.size( ) = 18 s1 = 11064115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11064115, s2 = 7837961, int(edited[s2]) = 0 s1 = 11064115, s2 = 7837961, d1 = 21, d2 = 2 Dl.O(d1) = 30923240,258851131 Dl.O(d2) = 6537217,4095768,2450268,1416636,1416637,2450272,4095791,6537286,9946649,14457755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11064115, s2 = 7837961, dlinesl.size( ) = 24 s1 = 11348511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348511, s2 = 11201854, int(edited[s2]) = 0 s1 = 11348511, s2 = 11201854, d1 = 24, d2 = 14 Dl.O(d1) = 260969312 Dl.O(d2) = 54677052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348511, s2 = 11201854, dlinesl.size( ) = 28 s1 = 11621969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13166456, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 257624, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 257624, s2 = 13256977, int(edited[s2]) = 0 s1 = 257624, s2 = 13256977, d1 = 1, d2 = 3 Dl.O(d1) = 6295340,3943247,2399611,1388508,789615,447308,251687,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335 Dl.O(d2) = 438350,438349,441926,778974,1367779,2362128,3945409,6297934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 257624, s2 = 13256977, dlinesl.size( ) = 2 s1 = 257624, s2 = 13256977, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 257624, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 11047505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11047505, s2 = 11082036, int(edited[s2]) = 0 s1 = 11047505, s2 = 11082036, d1 = 20, d2 = 16 Dl.O(d1) = 269510909,77515700,259417067,271819091,141605524 Dl.O(d2) = 257456820 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11047505, s2 = 11082036, dlinesl.size( ) = 26 s1 = 14980424, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10987233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10987233, s2 = 10377092, int(edited[s2]) = 0 s1 = 10987233, s2 = 10377092, d1 = 152, d2 = 172 Dl.O(d1) = 273272912,134633605,147764299,160028113,262953361,190116097,197726801,204211833,264642789,264073163,190116118,181301256,171264592,160028119,147764301,134633606,134633605,147764299,160028113,262953361,190116097,197726801,204211833,264642789,264073163,197726813,204211810 Dl.O(d2) = 242577562,242907177,243214008,243501691,243768881,244016735,244228457,243996145,243746639,243746638,243996144,244228456,244228458,244443587,244644006,244443586,274981909,244644008,244830854,244830856,244830855,267341925,244443587,244644006,244443586,274981909,267319749,267244447,243188339,243188338,243477619,243746641,243996146,267244445,243188339,267152947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10987233, s2 = 10377092, dlinesl.size( ) = 36 s1 = 11537783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537783, s2 = 11372712, int(edited[s2]) = 0 s1 = 11537783, s2 = 11372712, d1 = 83, d2 = 121 Dl.O(d1) = 265337529 Dl.O(d2) = 264130938,164236614,152363553,261087979,126272116,126272115,139642777,152363551,164236609,175042578,184635933,184635934,184635935,184635930,184635931,184635927,184635928,184635929,193014514,273327171,175042579,263087151,164236607,152363550,152363551,262643765,184635931,184635927,184635928,184635929,193014514,273327171,164236610,261639517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537783, s2 = 11372712, dlinesl.size( ) = 12 s1 = 14303652, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14303692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14264442, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15275232, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12871766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15275273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14580940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11528201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528201, s2 = 14102966, int(edited[s2]) = 0 s1 = 11528201, s2 = 14102966, d1 = 23, d2 = 19 Dl.O(d1) = 223346684,220756382,262953944 Dl.O(d2) = 260910650,84027922,84027923,97897331,259259056,97897330,84027922,84027923,97897331,92480351,78443116,256818454,35228892,27134594,20228377,14515585,14515584,20228374,27134589,258542279 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528201, s2 = 14102966, dlinesl.size( ) = 22 s1 = 14328664, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11054383, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14122568, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15300691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15300691, s2 = 1373700, int(edited[s2]) = 0 s1 = 15300691, s2 = 1373700, d1 = 62, d2 = 47 Dl.O(d1) = 153815954,162643140,150523161,262093823,162643141 Dl.O(d2) = 26921553,26921554,35003315,35003314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15300691, s2 = 1373700, dlinesl.size( ) = 2 s1 = 15300691, s2 = 1373700, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15300691, Dl.E( ) = 64, 2.19e-05 seconds used appending s1 = 11153659, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12803989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16195962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16195962, s2 = 10783818, int(edited[s2]) = 0 s1 = 16195962, s2 = 10783818, d1 = 39, d2 = 15 Dl.O(d1) = 15671961,10849505,7172656,4518131,4518132,7172657,10849507,255422109,21715127 Dl.O(d2) = 256006021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16195962, s2 = 10783818, dlinesl.size( ) = 2 s1 = 16195962, s2 = 10783818, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16195962, Dl.E( ) = 42, 1.98e-05 seconds used appending s1 = 11119529, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119529, s2 = 5920801, int(edited[s2]) = 0 s1 = 11119529, s2 = 5920801, d1 = 0, d2 = 26 Dl.O(d1) = 48930011,60328214 Dl.O(d2) = 237571536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119529, s2 = 5920801, dlinesl.size( ) = 12 s1 = 11419953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11419953, s2 = 11522818, int(edited[s2]) = 0 s1 = 11419953, s2 = 11522818, d1 = 19, d2 = 22 Dl.O(d1) = 273550979 Dl.O(d2) = 226574110,228398105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11419953, s2 = 11522818, dlinesl.size( ) = 20 s1 = 13674111, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540975, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11309695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309695, s2 = 13618942, int(edited[s2]) = 0 s1 = 11309695, s2 = 13618942, d1 = 22, d2 = 12 Dl.O(d1) = 259431990,62028967,50537399 Dl.O(d2) = 259359198,113540178,127410517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309695, s2 = 13618942, dlinesl.size( ) = 20 s1 = 11144103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11401415, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401415, s2 = 10981786, int(edited[s2]) = 0 s1 = 11401415, s2 = 10981786, d1 = 14, d2 = 19 Dl.O(d1) = 165831977 Dl.O(d2) = 267970326,4794991 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401415, s2 = 10981786, dlinesl.size( ) = 18 s1 = 7823132, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11228163, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11173839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11173839, s2 = 3746470, int(edited[s2]) = 0 s1 = 11173839, s2 = 3746470, d1 = 73, d2 = 78 Dl.O(d1) = 70843638,84400955,98310319 Dl.O(d2) = 177881850,167387140,155754442,155754441,262816329,167387140,272988636,129872495 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11173839, s2 = 3746470, dlinesl.size( ) = 28 s1 = 11370183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11370183, s2 = 6638729, int(edited[s2]) = 0 s1 = 11370183, s2 = 6638729, d1 = 58, d2 = 62 Dl.O(d1) = 260316346,92588433 Dl.O(d2) = 43857680,37298691,33066673,28765253,28765254,33686410,31372249,23877001,23877002,29728327,29728326,38295203,47205100,39317575,30719261,30719262,28765345,21505421,15497392,15497391,19200328,19200326,255072280,37298105,28765063,256332377,47205025,47205152,47205151,58595601,268425006,255972994,50073171,49183001,39257080,30661178,30661177,32600455,41477964,51747048,61552569,61552568,53144623,53144622,256920928,61551319,61551320,50082592,40061193,31378513,268256221,12367981,8357230,5394198,254595111,8618563,8618564,12687805,17909188,24290938,24306319,31379010,23882055,17535889,17535891,23877351,17532454,17532453,17532511,12365734,8355707,8355609,5602930,5393309,3316436,1950947,1950948,3316440,5393278,3316423,3316425,5393285,8355688,12365708,17532479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11370183, s2 = 6638729, dlinesl.size( ) = 14 s1 = 11395755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11000109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11000109, s2 = 14066705, int(edited[s2]) = 0 s1 = 11000109, s2 = 14066705, d1 = 0, d2 = 44 Dl.O(d1) = 9040804,13252079,18638573,25201638,25154713,18597642,18597641,24879679,32523124,25938090,19275314,19275315,25938092,33745253,33745248,25938087,25938086,26238890,19521589,19521590,18597663,13216570,9009546,9009547,13216558,9009540,5881572,5881571,9009537,13216554,18597637,25154710,32040766,24476583,24476582,25154749,18597669,18597670,25154751,20978934,15067263,15067264,13266601,13266600,18657032,22988648,30391891,38978860,254884996,42640138,33613915,25814560,25814541,25814542,33613897,39847219,31165416,31165415,32861437,25154720,18597646,13216561,13216562,18597649,25154724,18597675,13216577,9009550,5881576,5881575,9009548,13216574,13257775,18645340,18610941,18610942,25169083,32877009,34251566,273282595 Dl.O(d2) = 95327177,81267751,71545648,71545649,81277648,67810031,67810028,72960780,60220856,60220857,72960783,85116698,72960838,72960754,60220832,48823720,48823722,60220837,72960759,81277627,67810016,67810013,67810021,81277631,67810039,67810040,81277662,86560396,72960798,72960797,86560393,81267763,67799976,55458399,48823820,48823819,58817354,47431020,47431019,58817351,48823783,48823782,58817346,71545626,67799980,67799979,59732743,59732744,67799968,55458388,55458387,67799964,258743714,60220892,59907853,59907852,60220853,72960771,60220935,60220932,60220841,48823727,38901471,38901469,38901492,30314925,30314924,38901487,38901507,44619148,55458406,55468271,44619156,35236923,35236922,44619154,55468265,48823812,38901531,38901530,48823806,38901539,38901538,38901577,48823890,60221048,72960829,60220921,60220920,60221012,48823854,48823855,59732756,48348700,48348699,55458391,44609989,35229047,35229046,44609986,55458384,48823758,48823759,60220898,60220887,60220886,48823790,38901520,38901521,38901478,30314918,30314917,30314936,22914863,22914862,30314930,30314948,35229055,27134722,27134723,35229056,27141172,20233348,14519084,14519086,20233353,22914889,16681769,16681768,22914884,30314961,30314989,38901582,44609973,44609971,55458376,48148251,48148252,38901556,38901557,48823745,59732750,59732749,48823898,48823899,44609982,44609980,55458381,48823762,38901501,30314941,30314940,38901497,48823755,60220849,48823737,38901484,30314921,22914857,16681755,11644299,11644300,16681759,22914875,20228477,14515642,14515643,20228484,27134728,30315031,27141164,27141165,22914881,16681765,11644303,11644304,11644307,16681772,16681778,22914901,30314993,38901589,48823906,60220940,59535238,59535237,59907894,59907893,60220862,72468453,60221061,48823901,48823903,60221064,72960922,86560486,86560368,72960748,60220825,48823713,48823714,60220826,59535242,58871565,47490567,47490568,38901462,30314911,22914852,22914851,22914868,30314945,27134714,20228474,20228475,27134718,22914922,16681793,11644320,7757609,4913030,2961449,2961448,4913025,7757605,11644313,16681785,22914914,30315017,38901628,48823958,60221110,59399109,48011531,257510635,72129679,60220994,48823841,48823840,60220990,60220983,60220982,72960875,86560453,72960954,60221091,48823928,38901610,38901609,48823925,60221087,72960950,86560426,100522357,100522391,100522390,100522347,86560405,72960818,60220905,60220904,60220908,60220909,72960823,60221125,48823963,38901637,38901639,48823966,55458368,67799957,60221078,48823913,38901601,38901594,38901596,38901621,48823945,60221114,72960971,86560516,86560472,72960891,60221001,48823843,48823844,60221005,60563672,49163958,49163959,48823934,48823933,60221097,72960960,86560510,99661954,99661952,86560436,72960861,72960860,86560434,84227366,84227365,98122912,86560519,72960977,61536479,61536480,74313351,86560413,86560414,86560525,86564100,86564099,100522394,98122956,86560362,72960732,72960731,60221071,60221073,72960934,86560496,100522380,86560528,72960985,72960986,86560532,86564088,100522370,86560466,72960887,72960886,86560460,98481211,112083406,112083407,260047240,100522362,100522363,112083399,98122929,98122930,112083402,270344732,84227382,84227372,70673728,70673727,84227370,98122922,98122950,112083415,114556334,100525534,86564094,86564095,74631382,61839003,57954793,57954792,70673791,57954788,57954789,70673794,84227419,84227430,70673812,57954816,57954818,70673815,70673801,70673803,72965629,72965630,86564092,87916982,74313338,74313334,269887829,40478970,31784647,24271924,24271925,30005493,36884504,30005502,22635580,16447665,16447666,22635582,255590731,254874369,5577751,5577752,8583937,268263477,31731342,40425104,40520842,31823884,24307069,17922852,17922853,24307071,28048549,28048550,36512703,38307027,36512699,255788024,255001152,6781628,267957079,14978145,11278397,11278396,16224040,256812697,38307025,38307026,39293245,46371523,40502812,31807511,31807510,31807465,31807464,40502763,50537918,50537935,48276975,38365496,38365495,48276974,59664755,48727104,38806386,30223002,255382544,48727101,41914198,41914197,256839198,77247197,77247196,64100651,64100650,256666314,88459547,74826105,258902658,53806453,256540768,34184683,34184682,259736259,122195247,125651199,125651200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11000109, s2 = 14066705, dlinesl.size( ) = 40 s1 = 11002081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11441545, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11556381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11556381, s2 = 12309092, int(edited[s2]) = 0 s1 = 11556381, s2 = 12309092, d1 = 15, d2 = 18 Dl.O(d1) = 265771471,225111044 Dl.O(d2) = 202613348,195815987,187878517,178775133 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11556381, s2 = 12309092, dlinesl.size( ) = 22 s1 = 11319797, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12807087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11391953, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11611459, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14329128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14334334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14334334, s2 = 8991853, int(edited[s2]) = 0 s1 = 14334334, s2 = 8991853, d1 = 70, d2 = 12 Dl.O(d1) = 266733651,267087103,267158983,267221457,267275927,274976223,244676336,244861686,245036438,245200157,267453137,245497649,245633329,267467920,267403742,244861689,267345462,244036452,267365949,244676334 Dl.O(d2) = 244847702,267358006,267314760,274940476 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14334334, s2 = 8991853, dlinesl.size( ) = 58 s1 = 12104055, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12104055, s2 = 14152004, int(edited[s2]) = 0 s1 = 12104055, s2 = 14152004, d1 = 1, d2 = 1 Dl.O(d1) = 230330705,266148591,266358919,236063322,236913651,236063321,236063322,236913651,236913650,237687589,237687590 Dl.O(d2) = 230330705,266148591,266358919,236063322,236913651,236063321,236063322,236913651,236913650,237687589,237687590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12104055, s2 = 14152004, dlinesl.size( ) = 2 s1 = 12104055, s2 = 14152004, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12104055, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11641161, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11641161, s2 = 11639636, int(edited[s2]) = 0 s1 = 11641161, s2 = 11639636, d1 = 87, d2 = 84 Dl.O(d1) = 267636289 Dl.O(d2) = 267616552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11641161, s2 = 11639636, dlinesl.size( ) = 40 s1 = 14329146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11797785, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14305182, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14329208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11499185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499185, s2 = 3964028, int(edited[s2]) = 0 s1 = 11499185, s2 = 3964028, d1 = 117, d2 = 125 Dl.O(d1) = 264282240,263623276,261829730,120926335 Dl.O(d2) = 155732894,143179167,129848143,258167080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499185, s2 = 3964028, dlinesl.size( ) = 58 s1 = 394580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 394580, s2 = 11229298, int(edited[s2]) = 0 s1 = 394580, s2 = 11229298, d1 = 24, d2 = 3 Dl.O(d1) = 9988370,14515872,15014265,15014266,20921054,28095777,33939340,26104894,19414036,13889473,9530500,6251959,6251963,9530513,13485183,10342452,6808937,5961693,4270744,4270739,2553411,2553416,4270844,6809380,6253575,3914805,3914802,6253445,3914764,3914766,6252931,3914513,3914511,6252924,9532124,13891968,19417565,19418285,13892530,9532536,268035857,19418281 Dl.O(d2) = 36437286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 394580, s2 = 11229298, dlinesl.size( ) = 12 s1 = 14329338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11391235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11391235, s2 = 10997342, int(edited[s2]) = 0 s1 = 11391235, s2 = 10997342, d1 = 29, d2 = 30 Dl.O(d1) = 261473311 Dl.O(d2) = 256157201,13709413,19195504,255558744,22254757,26435304,256009524,24604126,18155930,12874794,8755753,254890185,10292914,14960207,20861911,28029153,36491502,40524088,40524084,40524082,31827025,31718255,24210834,24210830,21457363,17924624,17924623,20171785,19452122,19452120,20171855,27066117,35151803,44528093,257385367,53213688,42763873,256605646,20301585,14569033,10025339,254476075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11391235, s2 = 10997342, dlinesl.size( ) = 38 s1 = 11420537, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16368851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8537959, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8537959, s2 = 10358824, int(edited[s2]) = 0 s1 = 8537959, s2 = 10358824, d1 = 37, d2 = 47 Dl.O(d1) = 140757531,153437659,165237662,175941026 Dl.O(d2) = 229332954,265807442,264902260,218038368,214502832,264396115,263767575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8537959, s2 = 10358824, dlinesl.size( ) = 38 s1 = 11011227, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11463307, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463307, s2 = 3154325, int(edited[s2]) = 0 s1 = 11463307, s2 = 3154325, d1 = 9, d2 = 0 Dl.O(d1) = 273564320,261563141,260409103,259796551,81232755,81232756,270662413,81232754,95290578 Dl.O(d2) = 99482719 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463307, s2 = 3154325, dlinesl.size( ) = 14 s1 = 10395160, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11276404, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12877238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12812283, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8152624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12812721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11443887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12877938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14087731, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14087731, s2 = 13373289, int(edited[s2]) = 0 s1 = 14087731, s2 = 13373289, d1 = 12, d2 = 21 Dl.O(d1) = 95596715,259679456 Dl.O(d2) = 258150432,44765124,35338869,255679818,20286407,24582223,22052167,22052165,29382284,37947055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14087731, s2 = 13373289, dlinesl.size( ) = 20 s1 = 11432441, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11432441, s2 = 11536688, int(edited[s2]) = 0 s1 = 11432441, s2 = 11536688, d1 = 0, d2 = 8 Dl.O(d1) = 192346962 Dl.O(d2) = 215098758,218533859 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11432441, s2 = 11536688, dlinesl.size( ) = 22 s1 = 12878066, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11485963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11485963, s2 = 14482612, int(edited[s2]) = 0 s1 = 11485963, s2 = 14482612, d1 = 22, d2 = 24 Dl.O(d1) = 264030746,188776229,263524512,261692446,258988117 Dl.O(d2) = 5820655,3631114,2168803,1255322,1255321,2168799,2168896,2168899,3631318,5820999,8919889,13089596,18428159,24941679,255333555,9957165,6544290,4100030,3011848,3011850,4097808,2451432,1417287,806334,806332,1417278,2450973,2450975,4096948,6539132,9949530,14461664,11766118,9950108,6539464,4097107,4097108,6539468,9950117,14462540,11766798,7856025,7856026,11765734,7855154,7855155,4986789,3012079,1749544,994842,560070,313575,173423,95418,95419,173435,313602,560129,994937,1749716,3012427,2453332,2453336,4101361,2716036,1573775,894852,504822,283032,283033,504828,894865,1573807,2716087,254509079,4518593,7173414,10850733,15673921,21717836,27055860,20162296,20162298,14465552,14465553,9952391,9952393,13875698,19398233,26087497,20166766,16831090,16831089,13740776,13740775,16830166,19232963,20176753,14476643,9960706,6546578,4101348,4101346,6546568,9960682,14476604,18232637,22090086,15983371,15983377,14471789,9957209,9957211,14471794,17653143,20175975,14475970,14475972,20175982,27071115,23996932,17653068,17653067,23996931,18180404,18180403,16829211,16829209,20169963,20162921,20162925,27053661,20160302,14462827,14462826,14462815,14462816,16829803,23082401,27060694,20166879,14468494,14468496,15982953,16830451,14468523,14468520,20166924,24979320,29420682,22574870,254755126,255436138,29004399,255871712,22574837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11485963, s2 = 14482612, dlinesl.size( ) = 20 s1 = 11416135, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11095253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095253, s2 = 77704, int(edited[s2]) = 0 s1 = 11095253, s2 = 77704, d1 = 5, d2 = 36 Dl.O(d1) = 31798345 Dl.O(d2) = 24284013,29415852,29547610,256368606,22146371,16027455,11128149,7381069,7381070,11128154,10990398,10990397,15846081,10981459,7268727,4583933,2757933,1598875,1598876,2757941,4583955,7268777,10981544,8507774,8507775,12548572,15846208,15846207,21933858,17735570,17735567,16073829,11161809,10258693,10258692,14918888,20815383,21945607,16608274,11583491,11092508,11092505,15978902,22085151,29415503,29925593,28932505,21654971,21654970,28932499,29230198,21913572,21913573,29230189,22146362,16027447,12548685,12548682,17735709,21933795,15846168,15846046,10981438,7268713,7268715,4583940,4583942,7268749,10981502,15846139,17735521,17735520,21913596,17180533,17180534,15845979,10981408,10981407,12548600,17735583,16073822,16073823,11718643,11718644,16765676,21665844,15630155,15630154,15845838,17180482,17180481,23458978,30891736,29415507,29415510,29268549,21946245,15857106,10990748,10990747,15857100,21946232,29268528,29254892,21933834,15846193,10981530,7268766,7268764,10981523,15846024,10981430,10981431,15846031,10981489,10981490,15846126,21933682,21933683,21913610,15830948,10970688,10970687,15830940,21913589,22204340,22204341,29264882,29268500,21946206,21946205,21665870,15630170,10816300,7148327,7148328,10816304,15630177,21665884,28944727,37486812,29267962,29267963,21946275,15857125,10990758,7275647,7275648,10990767,15857142,21946299,21987073,15890745,15890742,16906280,11831219,11831218,16906275,21933598,15846016,15846014,12490946,12490947,17664097,24011097,29254748,29254747,29272037,21949169,15859236,10992196,10992195,15859230,15859104,15859105,21949011,29268492,21946199,21946198,21947419,21947421,21665850,15856684,15856686,21945667,29267895,31511604,31511603,29254833,29254832,29267957,21946317,15857155,10990774,7275650,7275652,10990783,15115851,15858024,15858023,12490964,12490966,17664122,24011123,29269196,21946849,15857559,15857561,17664176,15858340,15858342,20288424,14558361,14558359,20288417,21073267,15137149,10992203,7276644,4589004,2760913,2760910,4588992,7276621,10992150,15668752,15668751,21711185,20940836,20940837,21253140,25361086,30729516,23311135,23311136,28243326,21044224,15115898,10426430,10426433,15115891,10991413,7276090,4588683,2760732,1600406,1600405,2760726,4588667,7276062,10990526,7275507,7275505,7275719,7276137,4588706,4588703,7276128,10991456,15858129,12892823,8769071,5710397,3554241,2117491,1220812,689629,488884,274616,152294,83563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095253, s2 = 77704, dlinesl.size( ) = 26 s1 = 15301637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11172409, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172409, s2 = 11122890, int(edited[s2]) = 0 s1 = 11172409, s2 = 11122890, d1 = 10, d2 = 1 Dl.O(d1) = 257462288,15026774,15026773,20934891,15283782,10549382,6957451 Dl.O(d2) = 10549379 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172409, s2 = 11122890, dlinesl.size( ) = 12 s1 = 12878336, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12878336, s2 = 8178008, int(edited[s2]) = 0 s1 = 12878336, s2 = 8178008, d1 = 54, d2 = 53 Dl.O(d1) = 257052071,61324098 Dl.O(d2) = 37130103,47017578,58388809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12878336, s2 = 8178008, dlinesl.size( ) = 24 s1 = 11145425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145425, s2 = 11324514, int(edited[s2]) = 0 s1 = 11145425, s2 = 11324514, d1 = 42, d2 = 22 Dl.O(d1) = 254753182,85399448,99343768 Dl.O(d2) = 193590797,261689258,262087156 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145425, s2 = 11324514, dlinesl.size( ) = 50 s1 = 11492385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098835, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522839, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11408675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11378001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11378001, s2 = 12831264, int(edited[s2]) = 0 s1 = 11378001, s2 = 12831264, d1 = 20, d2 = 18 Dl.O(d1) = 261132159 Dl.O(d2) = 255107417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11378001, s2 = 12831264, dlinesl.size( ) = 12 s1 = 11533633, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11533633, s2 = 16053408, int(edited[s2]) = 0 s1 = 11533633, s2 = 16053408, d1 = 31, d2 = 33 Dl.O(d1) = 264996010 Dl.O(d2) = 30813917,39419059,46860041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11533633, s2 = 16053408, dlinesl.size( ) = 8 s1 = 14329864, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11186969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186969, s2 = 15053213, int(edited[s2]) = 0 s1 = 11186969, s2 = 15053213, d1 = 54, d2 = 39 Dl.O(d1) = 255937164,101125224,115203004,129134596,142511853,155156186,166849162,177396505 Dl.O(d2) = 265108281,265432178,274280630,274119030,209684129,204281526,197806202,263241752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186969, s2 = 15053213, dlinesl.size( ) = 44 s1 = 11473293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11473293, s2 = 6700341, int(edited[s2]) = 0 s1 = 11473293, s2 = 6700341, d1 = 23, d2 = 79 Dl.O(d1) = 264853015,220303045,222962588,225254518,227246397 Dl.O(d2) = 165216774,153413707,153413706,261111958,185411365,263502612,175305730,164539073,164539072,273117944,153413712,262216967,175923470,262662902,193690389,185411371,175923468,165216777,262696837,263104470,194173245,262662904,193690392,193690389,185411371,175923468,165216777,153413710,261154872,113505305,261700891,165216776,165869102,154101734,154101735,272533774,185411368,175923465,165216774,153413707,153413706,261111958,185411365,263502612,175305730,164539073,164539072,273117944,262662908,127375321,127375320,140731593,140731582,140731581,127375313,261700891,165216776,165869102,165216782,153413714,153413713,153413719,153413720,165216789,175923475,165869106,154101740,260534064,127375319,113505309,99494177,85547406,71959646,257500590 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11473293, s2 = 6700341, dlinesl.size( ) = 28 s1 = 11971196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16401430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16401430, s2 = 11587648, int(edited[s2]) = 0 s1 = 16401430, s2 = 11587648, d1 = 0, d2 = 16 Dl.O(d1) = 229536903 Dl.O(d2) = 235565718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16401430, s2 = 11587648, dlinesl.size( ) = 28 s1 = 11454345, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15313102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15313102, s2 = 10990784, int(edited[s2]) = 0 s1 = 15313102, s2 = 10990784, d1 = 44, d2 = 74 Dl.O(d1) = 241376855,241376854 Dl.O(d2) = 70544974,57842955,256046032,20968009,15058314,15058316,20968011,28146381,32781252,25083823,25083822,22612338,22612336,17281570,16541940,12159424,12159427,13814619,19319576,25646715 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15313102, s2 = 10990784, dlinesl.size( ) = 46 s1 = 14329922, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14329922, s2 = 4766811, int(edited[s2]) = 0 s1 = 14329922, s2 = 4766811, d1 = 21, d2 = 1 Dl.O(d1) = 238842783 Dl.O(d2) = 194332421,186130227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14329922, s2 = 4766811, dlinesl.size( ) = 14 s1 = 12815313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16266555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16365727, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644277, s2 = 6363134, int(edited[s2]) = 0 s1 = 11644277, s2 = 6363134, d1 = 32, d2 = 43 Dl.O(d1) = 267684674 Dl.O(d2) = 247006924,247006923,267615409,275069486,275068142,247006920,275066885,246952798,246895344,246835310,246773029,267583726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644277, s2 = 6363134, dlinesl.size( ) = 36 s1 = 11006997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11006997, s2 = 8403070, int(edited[s2]) = 0 s1 = 11006997, s2 = 8403070, d1 = 28, d2 = 44 Dl.O(d1) = 7738520,4899689,4869951,2934564,1701926,967473,544979,544980,967478,1701932,1698944,967573,967575,966014,966013,1698981,1699532,1701067,2932974,4867379,7591885,7729788,11423482,10714651,7078606,7078607,4803196,2894994,1680031,955653,538758,538759,955633,538751,538750,955627,1679985,2894890,4802235,7591873,4906607,4906608,2957371,2957369,4906620,4895819,4895821,7733178,7598006,4806328,4806329,7598011,7591765,7591763,7688250,7740113,7740114,7602047,7602045,11433932,11555585,11413368,7584777,4797461,2891764,2891766,4797464,7584790,4862831,4862832,7685298,6814646,4274329,4274328,6814644,10349679,12128280,8159765,5230548,3192054,3192055,4905431,2956608,2956604,4811245,2899612,1682297,1682294,2899594,2899556,2899555,4811135,7597542,10944685,10944684,8159807,8159805,12128305,11421330,7591393,7591394,11421332,11446228,7612173,4815952,4815953,7602996,11434939,11420271,11420270,11626280,7744400,7744401,11626284,15020292,16216040,11272756,11272757,267849312,16420431,22603560,21477929,15475511,10701758,10701695,7070226,4451404,2674184,2674183,4099389,2452241,1417705,806554,457046,257663,257666,457036,806516,1417644,2452135,4099205,2611525,2611526,4358677,3535929,2104627,2104629,2895197,3535508,2104402,2104403,3535511,5683529,8730066,12838030,18105461,256066535,40890369,51027787,62653829,75596079,89357185,103452471,107355082,92950368,92950369,107355110,107355105,92950363,92950364,92950316,92950315,84284676,78843743,78843742,92950376,92950352,78843722,256672794,65511383,53487979,43009800,43009801,53487980,65511386,78843693,92950319,107355063,107355079,107355078,92950342,92950340,88504089,74867897,62069563,62069565,74867899,79233102,79233101,93360371,107355071,102512189,88504106,74867906,74867907,88504087,74867910,74227551,61448235,49970550,39954101,268439406,17461646,12310103,8314707,5365054,3298178,3274022,3274021,5326594,3276972,1927506,1101312,1101314,1927513,3274049,5326371,3274071,3273989,3273877,3273879,3278023,1928096,1928097,3277973,3277971,5332827,8265388,12239802,12227642,8255631,5335697,3279894,3279898,5335705,254842743,11237639,11230150,11230149,16163194,16165818,11233160,11233161,16165821,11233858,11233857,16166463,16889462,22311020,22311018,268296090,17415096,22310359,16163404,16163405,12573371,12573370,16166330,16166329,22312277,24147295,22794450,22794449,17798539,12599072,8550099,5548757,5548756,3459559,2051344,1176672,1176673,2051346,3459563,5576369,6016768,9191157,8549531,5548135,3433777,2030980,2030891,1163099,1163103,2030900,3429860,5544158,5569546,5506065,3394798,3394795,3427775,5531410,5531411,8533449,12580505,8568190,5563754,5563753,5013877,3032165,1764394,1764395,3032167,2020080,1155832,254190931,3420578,2027574,2027573,3406584,254283671,1182413,1182414,1998558,1142332,1142331,1998557,3391368,2009438,2009437,3406582,3456830,2049242,1988192,1135958,1135957,637356,637354,1135984,1988231,3377578,3423100,3395279,2058589,1181196,1181195,2025662,1159430,657801,657800,1171923,2044208,3450720,5556344,3440810,2036218,2036215,3422307,3391025,3391026,2005714,1146596,643215,356997,195575,195574,356972,356975,643163,648093,1155160,1156348,2012478,2012479,1150970,647833,645736,645737,739453,1295585,2019808,3378741,1989100,1136532,637655,354116,354117,637658,1136545,1989118,2061385,3438759,5554399,5022301,3997247,3411473,2013210,2013209,3401162,2005331,1146335,643041,643039,1146327,2005324,1997343,1997342,1996724,1996725,2023921,1158257,649848,649849,1006956,567486,357888,196009,196008,357883,567708,1007279,1105073,1105074,1934694,3289927,3455500,2048170,1174503,267756247,644556,1148995,2009440,1942082,1109361,622579,346018,346014,622600,1109398,1764890,2045477,3452394,2234824,1938100,1705605,1705600,2234800,2234798,1705653,1705654,1990781,1990780,3380966,2041916,2041918,2001802,2001803,3395931,3038892,1769421,1008414,1008415,1769425,3038899,5021180,7899856,8544854,5598481,5571462,5535352,5501987,5499498,3389135,1996781,1141159,1141160,1996784,3389141,5499508,3450226,2043770,2043769,2021536,1156776,1156777,2021538,3422364,3473956,2060821,1182673,664303,621717,621720,1107884,637718,637717,1136648,1989277,1136910,1136914,1989711,1153225,646979,646980,1153200,1764717,1005434,566601,317334,317331,566592,566532,254558905 Dl.O(d2) = 261425989,154767290,154767289,142134595,142134596,154767289,146842172,272582889,128781112,128781110,128781106,128781107,119710352,105471024,91248786,259645243,100834909,100834910,114885219,128781112,128781110,128781106,128781107,119710352,105471024,91248786,77329042,64181696,52331392,41991812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11006997, s2 = 8403070, dlinesl.size( ) = 42 s1 = 12038622, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14337830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10649393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12879512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10794383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11571339, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8569060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13819944, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11534791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11534791, s2 = 7633660, int(edited[s2]) = 0 s1 = 11534791, s2 = 7633660, d1 = 53, d2 = 59 Dl.O(d1) = 266035545,233022730 Dl.O(d2) = 270292796,76985466 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11534791, s2 = 7633660, dlinesl.size( ) = 54 s1 = 7489789, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7489789, s2 = 7494707, int(edited[s2]) = 0 s1 = 7489789, s2 = 7494707, d1 = 17, d2 = 12 Dl.O(d1) = 267161944,243802862,244048109,244276015,244487938,244686018,267325802,244180192,244180191,244399955,244487932,244686015,244487937,244276014,244048108 Dl.O(d2) = 267265421,267209576,267145182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7489789, s2 = 7494707, dlinesl.size( ) = 2 s1 = 7489789, s2 = 7494707, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 7489789, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11653683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11653683, s2 = 12907419, int(edited[s2]) = 0 s1 = 11653683, s2 = 12907419, d1 = 47, d2 = 36 Dl.O(d1) = 267574553,267578294 Dl.O(d2) = 266187238,232762868,233906623,234949382,235898837,236764465,237553120 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11653683, s2 = 12907419, dlinesl.size( ) = 50 s1 = 12817957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10983557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10983557, s2 = 14121737, int(edited[s2]) = 0 s1 = 10983557, s2 = 14121737, d1 = 28, d2 = 35 Dl.O(d1) = 1362139,1362137,2321687,3876604,3927875,6273383,9560626,254937154,21432210,15438479,10673146,7049499,4437039,267787099,876251,876250,267787097,10673143,270305486,258681309,98700188,112696232,126560412 Dl.O(d2) = 112696235,126560415,125448053,111645433,111645431,272160305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10983557, s2 = 14121737, dlinesl.size( ) = 38 s1 = 15302039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12881176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14330300, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14095486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12881250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11421113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421113, s2 = 6435192, int(edited[s2]) = 0 s1 = 11421113, s2 = 6435192, d1 = 35, d2 = 29 Dl.O(d1) = 186113473,186113471,261317634,154316054,260746712,154316057,141664066 Dl.O(d2) = 254774086,24179576,17811203,254281930,8558248,12609504,14127023,14127024,19702585,254353894,28265193,30692769,24170247,24170249,29094813,21797114,15737686,10899493,10899492,15737677,21064048,21064047,21797083,24149535,29525537,29525535,37643794,29094153,29094154,36441147,29667133,29094247,21796453,254867354,24088081,24088080,31591579,31598477,24094774,24094775,31598478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421113, s2 = 6435192, dlinesl.size( ) = 22 s1 = 15279427, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15279427, s2 = 14338115, int(edited[s2]) = 0 s1 = 15279427, s2 = 14338115, d1 = 0, d2 = 0 Dl.O(d1) = 114046512,109490503,95237571,93451431,93451432,95237553,81182396,67717517,55377730,55377729,67717515,81182392,95237551,95237556,95237555,90263382,90263383,95237568,81182407,81182406,95237566,259353666,67717508,257494652,44531476,55377728,67717512,80350705,66924612,54668153,54668154,66924614,80350709,257586604,95237560,81182404,81182403,259442110,63389249,63389250,67717510,81182387,84650322,257046496,86502857,72906328,72906329,71087741,71087740,84650329,98573487,109490488,109490489,109490487,258817986,58371389,47001079,37115172,37115173 Dl.O(d2) = 114046512,109490503,95237571,93451431,93451432,95237553,81182396,67717517,55377730,55377729,67717515,81182392,95237551,95237556,95237555,90263382,90263383,95237568,81182407,81182406,95237566,259353666,67717508,257494652,44531476,55377728,67717512,80350705,66924612,54668153,54668154,66924614,80350709,257586604,95237560,81182404,81182403,259442110,63389249,63389250,67717510,81182387,84650322,257046496,86502857,72906328,72906329,71087741,71087740,84650329,98573487,109490488,109490489,109490487,258817986,58371389,47001079,37115172,37115173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15279427, s2 = 14338115, dlinesl.size( ) = 2 s1 = 15279427, s2 = 14338115, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15279427, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 14338116, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15279443, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12882206, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12882346, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12882346, s2 = 11102500, int(edited[s2]) = 0 s1 = 12882346, s2 = 11102500, d1 = 45, d2 = 84 Dl.O(d1) = 261419534,176116318,176116317 Dl.O(d2) = 134953742,148077965,134953738,271591116,92555922,78509880,78509881,92555925,106874977,121143246,134953744,148077966,134953738,271591116,260320197,106874978,92555926,78509883,65220991,53232451,42781310,33750553,33750552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12882346, s2 = 11102500, dlinesl.size( ) = 22 s1 = 11268069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11268069, s2 = 11325604, int(edited[s2]) = 0 s1 = 11268069, s2 = 11325604, d1 = 17, d2 = 0 Dl.O(d1) = 109488250,262089547 Dl.O(d2) = 136645846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11268069, s2 = 11325604, dlinesl.size( ) = 28 s1 = 15279868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15309706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15309706, s2 = 15279867, int(edited[s2]) = 0 s1 = 15309706, s2 = 15279867, d1 = 1, d2 = 1 Dl.O(d1) = 22227468,29574688,36502529,28039247,20871286,17875909,12659348,8595174,5584790,5584788,5948168,3719808,3719807,5944139,3716948,2225730,2225733,3716956,2305767,1337979,1337976,2305758,3848090,6149624,9386707,13704858,254560132,33647563,40471811,42677179,42677180,38998534,30409499,23004717,16765181,16765182,16800263,11747073,11747072,15846846,12391834,8374195,5404496,3322707,3322706,3344092,3344093,5439897,8427295,12458747,17635701,23982205,31196955,267961946,17412874,17412873,12390727,254843098,8372606,12389673,12675848,8608384,8608385,8343350,5385188,3311501,1948152,1948154,3311503,5385196,8280949,12262036,8384809,6875126,6875125,10427825,8277276,8277278,8368440,5400954,3320761,3320763,5400959,8368450,12384084,12400595,12400596,17554574,23899582,23735994,23735995,31219778,255389086,30499665,23086179,16833030,11771442,11771443,8378330,8378331,12397541,10589361,10589362,12269674,17410230,17410734,17409827,17409828,12269411,12269412,16556256,17410924,17409911,12318091,8320374,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281314,12262707,15070051,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103167,1930995,3281579,3281576,5338586,8273744,8275768,8275769,12253820,12255600,8276898,5340460,5340459,8276893,11910968,11910969,16996575,23259495,30675568,254236072,14981063,10313076,10313075,254579850,16030832,22150069,23844363,20175204,20175203,27070268,26344984,19616110,14056925,9666035,9666034,255305647,268525433,43316203,53840080,258478069,93395006,107816984,122222811,136187136,149438026,161729466,172886999,273486711,198881668,205185607,210404565,214669024,218174431,221115191,265217619,216136966,212155244,207281048,201370182,194346050,186144799,176734461,166099134,261765219,128355085,261522746,60161553,256988769,255944893,16639914,11607777,11426985,10349449,7726964,254365919,1709325,971638,547236,547237,971640,1709328,2947322,4800048,7588596 Dl.O(d2) = 22227468,29574688,36502529,28039247,20871286,17875909,12659348,8595174,5584790,5584788,5948168,3719808,3719807,5944139,3716948,2225730,2225733,3716956,2305767,1337979,1337976,2305758,3848090,6149624,9386707,13704858,254560132,33647563,40471811,42677179,42677180,38998534,30409499,23004717,16765181,16765182,16800263,11747073,11747072,15846846,12391834,8374195,5404496,3322707,3322706,3344092,3344093,5439897,8427295,12458747,17635701,23982205,31196955,267961946,17412874,17412873,12390727,254843098,8372606,12389673,12675848,8608384,8608385,8343350,5385188,3311501,1948152,1948154,3311503,5385196,8280949,12262036,8384809,6875126,6875125,10427825,8277276,8277278,8368440,5400954,3320761,3320763,5400959,8368450,12384084,12400595,12400596,17554574,23899582,23735994,23735995,31219778,255389086,30499665,23086179,16833030,11771442,11771443,8378330,8378331,12397541,10589361,10589362,12269674,17410230,17410734,17409827,17409828,12269411,12269412,16556256,17410924,17409911,12318091,8320374,5368938,3300694,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281314,12262707,15070051,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,3283068,1930849,1930852,1103168,1103167,1930995,3281579,3281576,5338586,8273744,8275768,8275769,12253820,12255600,8276898,5340460,5340459,8276893,11910968,11910969,16996575,23259495,30675568,254236072,14981063,10313076,10313075,254579850,16030832,22150069,23844363,20175204,20175203,27070268,26344984,19616110,14056925,9666035,9666034,255305647,268525433,43316203,53840080,258478069,93395006,107816984,122222811,136187136,149438026,161729466,172886999,273486711,198881668,205185607,210404565,214669024,218174431,221115191,265217619,216136966,212155244,207281048,201370182,194346050,186144799,176734461,166099134,261765219,128355085,261522746,60161553,256988769,255944893,16639914,11607777,11426985,10349449,7726964,254365919,1709325,971638,547236,547237,971640,1709328,2947322,4800048,7588596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15309706, s2 = 15279867, dlinesl.size( ) = 2 s1 = 15309706, s2 = 15279867, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15309706, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11123625, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123625, s2 = 11644128, int(edited[s2]) = 0 s1 = 11123625, s2 = 11644128, d1 = 122, d2 = 165 Dl.O(d1) = 254849324 Dl.O(d2) = 275083976 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123625, s2 = 11644128, dlinesl.size( ) = 106 s1 = 15359233, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11399017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11524553, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524553, s2 = 15166160, int(edited[s2]) = 0 s1 = 11524553, s2 = 15166160, d1 = 8, d2 = 13 Dl.O(d1) = 264968678 Dl.O(d2) = 207388113,201498960,263586550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524553, s2 = 15166160, dlinesl.size( ) = 20 s1 = 11321327, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11536559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11536559, s2 = 5284165, int(edited[s2]) = 0 s1 = 11536559, s2 = 5284165, d1 = 60, d2 = 52 Dl.O(d1) = 225597102 Dl.O(d2) = 219280770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11536559, s2 = 5284165, dlinesl.size( ) = 2 s1 = 11536559, s2 = 5284165, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11536559, Dl.E( ) = 138, 5.7e-05 seconds used appending s1 = 11233205, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12558052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11573951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11486617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11486617, s2 = 10474675, int(edited[s2]) = 0 s1 = 11486617, s2 = 10474675, d1 = 15, d2 = 0 Dl.O(d1) = 209315191 Dl.O(d2) = 42003941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11486617, s2 = 10474675, dlinesl.size( ) = 20 s1 = 14330788, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14330788, s2 = 7967561, int(edited[s2]) = 0 s1 = 14330788, s2 = 7967561, d1 = 54, d2 = 59 Dl.O(d1) = 264794276,222644609,265416286,227015660,227015662,227015659,224983563,265607863,222644618,265439395,219920939,216692894,212798249,212798248 Dl.O(d2) = 35347472,27224446,20296030,20296031,23323532,17058161,17058159,12295181,8304251,8304247,9338466,9338470,13637467,17429381,14564637,13063688,13063687,18391801,22770400,22770402,30158524,38741032,37114223,28604841,21370976,15390650,10636366,10636368,15390657,21370991,15394732,13785489,9451787,9451784,13785480,19283882,25947747,33755375,42786335,53237754,65226546,78516060,269527362,67682022 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14330788, s2 = 7967561, dlinesl.size( ) = 8 s1 = 11576739, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10993927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993927, s2 = 4759930, int(edited[s2]) = 0 s1 = 10993927, s2 = 4759930, d1 = 118, d2 = 142 Dl.O(d1) = 260993279,150411385,262578313 Dl.O(d2) = 274586386,224508515,265207195,264767983,201141050,194093372,194093371,185869126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993927, s2 = 4759930, dlinesl.size( ) = 84 s1 = 11470073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11470073, s2 = 5094125, int(edited[s2]) = 0 s1 = 11470073, s2 = 5094125, d1 = 36, d2 = 0 Dl.O(d1) = 264542015 Dl.O(d2) = 211702798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11470073, s2 = 5094125, dlinesl.size( ) = 14 s1 = 11386963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11611859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11611859, s2 = 14149340, int(edited[s2]) = 0 s1 = 11611859, s2 = 14149340, d1 = 17, d2 = 45 Dl.O(d1) = 242286035 Dl.O(d2) = 241924894,241518202,266865606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11611859, s2 = 14149340, dlinesl.size( ) = 34 s1 = 11260711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16370821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16370821, s2 = 15302562, int(edited[s2]) = 0 s1 = 16370821, s2 = 15302562, d1 = 1, d2 = 29 Dl.O(d1) = 224740667 Dl.O(d2) = 241090637,241528803,241934271,242308893,267164207,267225845,243827492,244071187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16370821, s2 = 15302562, dlinesl.size( ) = 2 s1 = 16370821, s2 = 15302562, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16370821, Dl.E( ) = 30, 1.19e-05 seconds used appending s1 = 15302561, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11642451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11642451, s2 = 6370794, int(edited[s2]) = 0 s1 = 11642451, s2 = 6370794, d1 = 68, d2 = 0 Dl.O(d1) = 267654023,247412523,247436570 Dl.O(d2) = 247153627,267621602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11642451, s2 = 6370794, dlinesl.size( ) = 88 s1 = 11853593, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11662804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992397, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11296857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11296857, s2 = 11402752, int(edited[s2]) = 0 s1 = 11296857, s2 = 11402752, d1 = 53, d2 = 79 Dl.O(d1) = 123567940,137299691 Dl.O(d2) = 269865087,257633911,258865787,87690337,271386255,129592149,142907953,155485440,167119619,177619469,186901636,194989680,200884704,193801375,273643200,176077787,176077786,165396336,153615740 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11296857, s2 = 11402752, dlinesl.size( ) = 54 s1 = 14157036, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14157036, s2 = 11680766, int(edited[s2]) = 0 s1 = 14157036, s2 = 11680766, d1 = 22, d2 = 35 Dl.O(d1) = 267610016 Dl.O(d2) = 247013316,247013318,275062318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14157036, s2 = 11680766, dlinesl.size( ) = 34 s1 = 14243405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14243405, s2 = 11217879, int(edited[s2]) = 0 s1 = 14243405, s2 = 11217879, d1 = 44, d2 = 21 Dl.O(d1) = 30405159,38994454,48918361,51430919,41232930,41232929,38624739,34292700,26416487,19680131,19560265,14009204,9626719,9626718,14009202,19560261,26281286,34147851,43236220,53749449,65806827,79164374,258874298,68116267,55719911,55719912,68116261,55719903,44813346,44813347,55719902 Dl.O(d2) = 112480635,112480636,126348023,126348025,139723856,139723828,126347979,112480444,98488763,84565694,84565695,98488768,112480452,112480390,98488726,98488725,112480385,126347931,133600046,133600044,126348049,126348050,128135959,128135958,139723994,128135946,128135945,139724202,139724203,139723710,126347828,126347830,112480550,98488855,98488853,112480546,126348118,139723953,152449189,139723814,126347967,114249292,100215323,100215322,114249290,114249299,112480504,98488813,84565735,84565733,98488807,112480496,126348030,139723859,128474018,114588169,100556072,100556071,114588164,112480378,98488721,84565671,71001719,71001718,84565667,91263918,91263919,105486523,119725802,119725786,119725785,133600031,128474034,114588185,100556090,100556092,112480777,126347913,126347406,126347405,114588155,100556065,100556063,114588150,128474001,126347411,114249267,114249268,114249298,100215329,86247937,72646451,72646452,86247942,98488834,84565749,71001772,71001771,84565743,98488827,86594343,86594345,100556041,100556077,86594377,86594378,100556081,112480411,98488737,84565678,71001721,71001722,84565684,98488746,112480419,114588178,114588132,114588131,128473987,114588192,100556102,100556097,86594387,86594386,84565920,84565922,98489053,86247952,72646457,72646458,86247959,100215356,114249319,115187270,101108995,100215343,86594327,72996553,60260898,60260897,72996550,86594325,100556024,112480822,112480215,98488587,84565547,71001589,71001588,71001937,84565929,98489057,87615450,87615451,98489068,84565943,84565944,98489070,112480403,112480402,100556043,86594348,72996578,60260913,60260914,72996580,72996604,72996605,256854238,84565251,71001314,71001315,71001319,71001318,84565256,73491259,73491260,87110044,84565342,71001415,58286220,46920361,46920362,46920372,46920373,48867897,60260903,71001983,71001982,84565959,78007267,71001368,71001369,84565294,89425038,75661550,73561820,60815678,60815679,61230679,74011382,71001960,71001961,84565359,84565360,71001924,71001925,72996620,72996586,60260916,48867904,38948174,38948173,38948180,48867914,58286189,60260922,60815993,58286119,58286121,58286129,58286128,60816108,60742197,60742199,60816113,71001429,58286232,46920367,37042402,28543380,28543381,37042410,38948167,46920788,58286705,58286716,60816066,52892655,52892656,58286637,58286635,62715504,51084348,51084347,49416035,49416034,49751596,61230686,58286691,58286692,71001969,60742191,58286640,49416238,49416239,48867937,38948196,30362191,22960924,22960923,30362187,38948188,48867924,39486732,39486731,46920281,37042303,37042304,46920286,39486830,39486829,49416340,49416042,49416043,58286242,46920385,37042420,28543384,28543382,37042414,37042807,37042805,46920796,52892663,52892661,42486213,33490313,33490312,42486231,51084351,40941937,40941938,255825634,28543750,28543751,37042778,46920771,46920772,58286683,46920765,37042773,37042772,46920764,58286681,61230674,73562300,60816057,49416303,49416294,39486784,38798836,30214817,22822720,22822719,268103144,30880862,23449735,23449734,30880859,39486606,49416047,46920380,39486779,30880973,30880974,39486782,49416289,42486225,33490309,25715202,19086877,19086878,25715208,33490317,32163081,24577973,24577974,32163088,31055011,29602774,28543685,21320261,21320262,28543691,37042786,37042727,28543644,21320237,21320236,28543640,23571700,23571701,31055006,30880989,23449803,17173441,12074893,11579176,11579177,16602512,22822726,268083194,11582685,254766314,22828472,30220668,255181132,15155558,10452062,6890030,4325399,4325401,6890036,10452073,15155575,21099056,28308987,36805893,255571314,21099017,21099018,28302864,21094069,21094068,28302862,31310571,29671178,22319965,16174998,11242393,11242392,16174995,22319957,26206766,34062338,43139046,53641299,48336817,48336818,46723362,40498237,40498238,50533558,58095584,46723613,46723612,46723262,46723263,47439807,47439802,37531652,37531650,36840589,36840588,34640901,34640900,28344024,28344022,28986932,28986931,28986913,28986914,37531701,29205909,29205908,37767386,40086277,38432331,29871714,29871715,38432336,38572081,38572079,37531556,28986802,28986801,37531551,47439717,47630755,37708458,29148105,29148104,37708429,37708430,47630730,59032862,48289977,38379294,29807451,29807450,38379292,37532051,28987266,28987264,37532046,256347634,47439566,47439565,53940665,43413725,34312269,26434186,26434185,34312266,37531519,28986780,28986781,37531521,47439672,46944847,37065744,28986651,21703279,15662325,10842328,254508437,2712561,2712562,4514381,7167652,10842340,15662346,21703317,26960912,26960911,21703759,21703758,28987044,21703585,15662523,15662522,15439437,10842496,7167731,7167730,10842494,15662619,21703736,28987251,37532027,37175552,29328481,28564105,21337251,15424235,15334734,10591133,10591135,15334742,21303677,19004902,13563497,9286440,6083378,6083379,9286443,9286422,6083369,3806462,3806463,6083372,9286427,13563464,19004829,21703289,21703290,28986666,21703365,21703366,28986739,28987231,21703722,268389953,33384935,42373848,42135395,37532034,37532035,37532037,28987259,256348055,42373844,33384932,25619034,25619033,24204505,17834843,15662383,10842359,10842360,15662387,21433381,28682873,36925396,33385003,28426765,21203170,15439440,15439441,21433370,28682860,37206587,33655829,25851015,25668979,268299914,16998933,11912903,7968812,7968813,11912905,16998934,19874444,26661898,19847164,19846755,17372798,12240760,8266280,8266279,12240602,17372642,22974610,17817248,12614711,8562799,8562798,7461207,7461208,7459139,7459141,11238346,12563911,8519014,5517269,5512074,3399444,2004116,1145598,1145599,2004118,3399447,254607805,12556890,17746588,24105125,256541967,257672545,74576222,74576220,61791796,258281497,88191901,102183729,113827715,260597051,130157269,130157268,261853859,143488020,156026052,260264594,126112082,112255854,112255853,98275923,84367314,70808587,58385401,47014173,40049936,31369473,23874633,17530251,12363968,8354483,5392484,254270881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14243405, s2 = 11217879, dlinesl.size( ) = 38 s1 = 14104633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15062712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12277535, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12885402, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12885402, s2 = 15275916, int(edited[s2]) = 0 s1 = 12885402, s2 = 15275916, d1 = 15, d2 = 11 Dl.O(d1) = 149746097,162000157,173126982,182995501,191618319,199031212,205301070,201290456,201290454,201290455 Dl.O(d2) = 36871971,46751128,58119681,70834252,84391281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12885402, s2 = 15275916, dlinesl.size( ) = 2 s1 = 12885402, s2 = 15275916, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12885402, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11648005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648005, s2 = 9040825, int(edited[s2]) = 0 s1 = 11648005, s2 = 9040825, d1 = 37, d2 = 35 Dl.O(d1) = 268636798,37275951,47182091,58571043,49245535,39318575,257701689,50842446,62426226,75325901,89054810,103125591,115073253,269304278,98281128,84371398,84371397,84371399,256295118,254718928,36839637,46722487,255378728,84371402,98281129,112263081,258647428,139496270,152227050,139496272,139496271,152227051,155563357,143015258,129686839,272191466,101743643,87770642,87770641,261280807,114183837,260021028,86190422,258154364,38551741,29982566,255924018,255924020,22615520,16430985,11446104,7612066,4815889,2902200,2902201,255103479,7612067,11446105,255483273,255483277,254787219,267893939,11446107,16430990,16430989,16430988,22615523,256421791,48464347,59855162,48464346,38551748,257545399,72592873,86190437,100153366,114183867,128070665,141436170,154107379,165874619,176528999,263916145,201218542,194177862,263011792,165874583,154107348,147103342,133860427,133860426,262476201 Dl.O(d2) = 183272789,183272788,191848915,199225367,263794986,214846939,216269825,216269824,212311658,263538472,262706712,186461356,194611230,262706714,177110918,261712142,166533858,273371337,262706718,177110921,166533859,154829559,142194535,128837873,258743928,86906748,86906747,100886818,114938561,128837870,142194532,261163816,146838583,133580829,119706049,105466497,91243783,77323599,64175159,52323418,41982740,255993954,39211402,268134502,19171500,19171501,23195179,23195180,256469329,30532971,28582159,28582160,37086877,46968284,47387877,49061531,47444915,37536925,256463407,23114464,21544625,21544624,16855231,11788251,7871535,4997138,3019280,3019279,4997134,7871529,11788242,11788263,11788261,16855248,23114440,30533052,39131639,39131640,39212230,49061454,49061455,41375269,39131792,30533184,23114543,23114542,28991833,21707612,21707613,28991835,30533158,30533159,39131769,37536957,37536958,257007789,30532946,23114358,23114359,30532948,30612739,30533044,30532957,23114365,16855191,16855190,16855244,11788259,11788258,16855239,254969288,18041427,254314344,254468162,24460275,267978642,49759489,41217760,32394644,24772008,18292818,12984158,12984157,18292813,24772002,32394640,41217759,255103402,255103400,34188304,26316525,25079107,22780536,16565100,16565101,19652603,14086522,14086523,19652606,19820506,14197797,14197798,19656981,19656982,19656726,19656728,22996225,30400495,32394602,24930462,18419198,18419199,24930465,21960604,15867728,10997896,10997897,12033074,8089495,8089493,11625844,12633963,8578188,8578190,5573760,5573761,8578340,12634278,14212641,9770620,6424138,4030277,2415135,2415136,4030283,6424150,9770652,14212800,19660121,19660120,14096393,11682143,11682142,14091382,9692112,9692111,12220139,17347060,14089862,14089861,19656966,22593405,16410276,11426135,11426137,255101474,12557323,8513778,8513779,10454685,6891471,4326183,4326184,6891474,7392745,7911437,11837930,8088050,5181996,3161698,1850890,1056323,1056324,1850894,3161708,5182022,8088070,8088068,12030792,15402523,19657837,14491289,9970675,9970676,14491292,17119845,12557647,12557648,17747654,13018076,8863461,5777599,5777600,8863465,13018082,18338672,21481036,21481035,21103924,15159204,10454363,7911489,5029459,5029461,7071681,10703945,12557640,16052162,16052161,255120430,19610937,19610936,26339403,34213042,43311203,35366143,27242803,20311964,20311965,27242806,35366151,44790444,41088568 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648005, s2 = 9040825, dlinesl.size( ) = 12 s1 = 14331362, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14331362, s2 = 11200253, int(edited[s2]) = 0 s1 = 14331362, s2 = 11200253, d1 = 33, d2 = 26 Dl.O(d1) = 169448942,179678317,188682150,182399274,262532285,148928421,273030421,182399267 Dl.O(d2) = 256329622,19422985,26116269,23789047,17457896,12307248,12307249,8626396,5608998,3483343,2067970,1187113,1187110,2067962,3483328,5608959,5274602,3228833,3228836,5274609,8203479,6781135,4250672,2541163,2541162,4250667,6781123,10309897,14977413,20879370,17920941,17815286,17815287,24183674,31692125,37802336,29238820,21920339,21920338,29238818,37802335,47723633,40517654,31820976,24304602,17920942,17920943,24304605,21173278,15214275,10494879,10494878,8626276,5608928,3483312,2067950,1187106,1187107,2067954,3483315,5608932,8626282,268120273,8626376,5608986,5608987,8626380,10309886,14977396,12697400,8626305,5608948,5608950,8626311,12697415,17920949,21920347,15835778,10973836,10973835,15835773,21920341,29238825,24304659,24304658,17920992,17920993,24304671,24741305,24741303,31820904,24304535,17920889,12697367,12697318,8626256,8626258,12697326,12697340,8626267,8626269,12697345,12697425,12697423,17920956,21920458,21920457,16392484,11408873,7581127,7581129,11408880,16392499,12697519,12697520,10973844,7263538,7263539,10973850,12697404,12697405,17920935,24304588,24304616,24304614,31820983,40517670,31821321,24304862,24304861,31821317,40517473,31820794,31820795,31820992,40517681,40465378,31770561,24304537,24304538,24304528,17920881,17920883,17920818,17920816,24304435,24304628,21920529,15835884,15835886,21920534,19485404,19485405,26194758,29938156,29938144,22575308,22575309,16392492,16392489,17920848,17921112,16027936,16027934,21920353,29238843,29238852,31821328,31821327,38428960,38428963,40517658,40517660,40517666,50553700,50553701,40518114,40518113,48224990,38315227,38315226,40517678,32111754,24534898,24534899,32111760,40884992,40517487,31820804,24304454,24304453,24304427,24304426,31820774,31820994,37802632,29239092,29239093,31820767,26194747,26194748,34049219,33732582,25925661,25925662,33732584,31820884,31820883,31820816,31820815,37802353,29238833,29238832,37802352,37802372,40756044,50553705,62046354,58299219,53212278,53212272,42762482,42762483,53212276,62047072,59952937,50554662,50554661,50871059,49788562,39768682,32111750,32111749,40884985,50554812,40518441,31821570,24305028,24305027,31821566,40518437,50554806,40756119,32001056,32001038,32001039,40756100,40756112,50871070,42762476,33732578,25925656,25925655,33732571,42762471,50553727,40517499,40517498,268457395,18026179,18026178,24442119,32000997,40756050,50871032,49855294,46918939,46918940,58284795,62469273,50871099,50871098,49788578,40517453,40517451,49788569,39768687,31089996,31089997,39768694,39768711,39768709,49788587,40518427,31821559,31821560,40518431,32001013,32001014,32001062,24442160,18026197,18026196,24442155,32001053,33450429,25679143,25679145,33450433,40884911,33450366,33450365,32001069,24442166,24442164,24442188,32001094,40756032,32000990,32000991,32111249,32111248,39768719,39832115,39832100,39832101,39832107,49855288,40756163,33450378,25679100,25679101,33450386,39768702,31090002,23605520,17292507,17292508,23605526,31090008,39768713,40884739,32111469,32111470,40756059,32001002,24442125,24442126,32001008,32001049,24442198,24442196,19056832,13604484,13604485,19056840,25679153,25679091,19056787,19056789,18026206,12776498,12776499,18026210,268457397,32111637,32111254,24534306,24534308,31150049,31150051,23663180,23663179,31150060,36969283,28470746,25679105,19056801,19056802,25679107,32659497,31090030,23605541,17292511,17292512,23605546,31090038,28542080,28542082,24534633,24534632,32111473,32111457,24534599,24534598,24534625,19056823,13604479,9315734,6102464,6102465,9315738,13604491,19056856,25679177,25679084,25679085,24442172,24442171,32001077,32001099,32001100,32111623,24534798,24534315,18101340,18101341,24533780,24533779,32110749,32111491,24534655,24534653,21250023,21250025,24534604,24534606,24534611,23605534,23605535,31090013,23605528,23605527,31090010,24534321,18101342,12834398,12834401,8727106,8727107,5681220,5681221,8727130,12834610,18101353,18101581,12834561,12834548,12834549,18101559,24534542,32111412,40884666,32111288,24534367,24534368,18101693,12834647,12834551,8727097,8727098,12834487,8727051,8727052,12834489,18101474,18101681,24442145,24442144,24534463,24534464,18101570,18101569,18101492,12834498,12834483,8727218,5681268,5681157,254287747,2103307,1211101,1211102,2103345,3533937,5681290,8727141,5681235,3533914,2103329,2103332,3533922,5681245,8727154,12834531,18101064,12834367,8726989,8726990,12834370,18101285,24534256,24534358,24534347,18101372,18101374,18101528,12834522,8727160,8727161,12834643,18101690,24534714,18101951,12834821,8727279,8727201,5681261,5681262,8727205,12834705,18101539,13594641,13594642,13658212,9352783,9352782,9352764,9352765,10496706,15216981,15225419,10502319,10502320,15225421,21187928,22700907,23056962,268655187,39055519,48977674,60374312,73114277,86720020,100695694,100695691,86720018,81083224,67617391,67617390,81083223,81083230,67617396,55279212,44434848,35060728,26977658,20089349,255071412,29216190,21901948,15822269,15822267,21901945,17426392,12282591,12282590,17426391,23752197,30738849,30738848,31235357 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14331362, s2 = 11200253, dlinesl.size( ) = 32 s1 = 13874652, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11466085, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466085, s2 = 15185274, int(edited[s2]) = 0 s1 = 11466085, s2 = 15185274, d1 = 48, d2 = 7 Dl.O(d1) = 264967403 Dl.O(d2) = 199096951,199096953,191694591,183086289,173235718,162136350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466085, s2 = 15185274, dlinesl.size( ) = 48 s1 = 14100341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14100341, s2 = 10404615, int(edited[s2]) = 0 s1 = 14100341, s2 = 10404615, d1 = 27, d2 = 44 Dl.O(d1) = 111669995 Dl.O(d2) = 254607288,8568552,5564162,3447794,3447793,5564139,8568496,8561269,5558474,3450842,2044315,2044313,3450833,5549772,3456816,3456812,5572648,8576768,12631890,17838213,24101302,24101303,24126409,24101597,17743073,254106990,6393016,4011981,2404445,1391396,791253,448118,448121,791264,1391429,2404505,4012102,6393254,9718331,14125907,14335127,20015508,26897209,28211753,21018247,21018248,21968560,17900137,17900133,24088390,254411580,8503558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14100341, s2 = 10404615, dlinesl.size( ) = 52 s1 = 15339060, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15303281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14331586, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14331587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11112775, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112775, s2 = 10604657, int(edited[s2]) = 0 s1 = 11112775, s2 = 10604657, d1 = 0, d2 = 3 Dl.O(d1) = 47496002,58876080,71596843,85162470 Dl.O(d2) = 90764146 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112775, s2 = 10604657, dlinesl.size( ) = 20 s1 = 11377189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11377189, s2 = 12277656, int(edited[s2]) = 0 s1 = 11377189, s2 = 12277656, d1 = 79, d2 = 39 Dl.O(d1) = 164618644,175379047,184928376 Dl.O(d2) = 200927507,193847251,193847252,264216953,264758717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11377189, s2 = 12277656, dlinesl.size( ) = 26 s1 = 10660967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10678799, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10678799, s2 = 15300018, int(edited[s2]) = 0 s1 = 10678799, s2 = 15300018, d1 = 23, d2 = 14 Dl.O(d1) = 7875289,11793208,254249838,11129695,254373312,7883561,11799675,7882168,5005630,3026312,1760551,1002777,564999,564997,1002769,1760534,1002897,1002896,1760737,3024122,4663964,7382311,7381983,7381985,7381232,7381230,7879081,7879082,7879379,10014751,6583088,5003260,3024139,3024140,3025666,3025667,2809505,1758379,1001062,1001058,1758366,3023902,5002981,7410060,6583414,4682180,2821098,2821099,4682205,4663883,4663885,4663901,4398341,2635570,2635572,4398346,5006629,3027109,3027108,5006624,4663488,2809572,1629894,926889,522421,522422,926897,926874,926875,926821,522388,522389,926826,1629967,2809701,4663731,4124570,2467486,2467481,4124559,6583035,10015930,11128710,7381502,7381501,6582757,254173570,2467373,4124350,6582767,6583246,4124721,2467575,2467576,4124703,2467566,1426350,1426349,2467561,4124694,2809271,2809272,4663003,4663040,4663039,7381024,8304463,8304461,7381649,4663471,4663472,7381652,11128475,11128476,16027794,11129499,7382237,4715876,2841042,2841041,254182258,7381588,254373498,2809524,2809523,4123915,2467125,1426137,1426136,2467123,4123912,6582103,8458991,5465648,5465649,7381731,4663521,4663522,7381737,6583395,4663593,4663592,7381453,11128657,7382418,4664038,2809908,2809910,254524169,11129681,14555718,14555717,255028230,17661116,12489010,12489009,10015505,7381464,7381463,10016087,6583186,254696371,14556198,20286096,27214448,35338417,257329727,68072785,260417199,137611864,130038741,116128948,116128951,116128944,102070675,259509664,61688568,50205757,40182941,31498182,24000631,17656406,12485794,12485796,17656409,24000637,31498188,40182929,50205741,61688550,258896087,259520153,116128931,130038725,116128950,116128951,116128944,102070675,259509664,68072783,55673925,44764663,35338425,35338424,44764659,55673923,68072788,81562650,74471595,61688547,61688548,74471598,61688564,257081407 Dl.O(d2) = 260134995,88084011,259509666,50205746,55673926,258551065,259805985,123933851 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10678799, s2 = 15300018, dlinesl.size( ) = 2 s1 = 10678799, s2 = 15300018, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10678799, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 11406593, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406593, s2 = 14296232, int(edited[s2]) = 0 s1 = 11406593, s2 = 14296232, d1 = 50, d2 = 47 Dl.O(d1) = 167794997,262369928,269887338,31777336,40472016,50507447,43887883,34615697,256667174,26626557,32838373,32838372,38371695,29799352,22432867,16265196,11308611,11308610,16265195,22432866,29799350,256951933,41947882,40453633,31759112,28328547,28328548,21993344,15895274,11018935,11018936,15895279,21635430,24688075,22524936,22524933,29880699,30802342,28328121,255683894,37607632,47512397,48585662,38669621,30092496,30092495,26333339,19604909,19604910,26333346,26414469,34290138,43389331,53057611,46665017,46665016,42609970,34002498,34002497,34001536,26159827,19460112,13926567,268496724,43059796,47817625,255878524,255878522,70846164,84403415 Dl.O(d2) = 36886134,28389454,21170601,254163814,254078440,851633,851635,515893,289532,160261,88201,88202,160253,160254,289522,514805,288901,159905,88039,88040,88193,48534,27131,15365,15357,8613,8612,15351,27109,48492,88106,160069,159769,159768,159899,159895,288884,514784,912402,1012106,570494,570493,1012100,636441,636439,1134274,1011931,570399,570400,1011937,1133609,958588,958589,1686002,2906570,2812254,1631401,927683,636513,353526,353530,302649,302650,302655,313309,173296,95334,95333,173290,313299,559545,909797,909796,636292,636293,1134059,1598450,1984954,1658349,943560,532140,298436,298435,352933,635832,893297,540380,540381,352891,193294,105500,90793,50014,27984,15891,15890,27980,50005,90778,164953,287912,513332,310312,297815,176954,97392,97390,162667,89422,49192,27530,27531,49196,58231,91127,91125,91051,91050,105640,193253,105604,58054,32659,18763,16394,16396,28679,51012,92481,168035,105825,58224,58222,105818,193691,353352,569762,352980,279912,154508,84694,50246,50245,91134,165446,176981,319613,176760,176759,298450,177021,97483,92429,50986,50987,92430,97469,176477,97563,96994,53469,30124,17303,9919,9917,17293,10780,10781,18808,32741,58191,95137,52485,52484,95133,97487,93232,51457,28955,16579,16578,28953 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406593, s2 = 14296232, dlinesl.size( ) = 52 s1 = 11079369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15007899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14114709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12828583, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052861, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14052861, s2 = 13187138, int(edited[s2]) = 0 s1 = 14052861, s2 = 13187138, d1 = 29, d2 = 6 Dl.O(d1) = 31413015,31413016,255747594,257313916,87844705,258844520 Dl.O(d2) = 23923466,254316814,8387653,5412519,3327123,3327124,5412560,8387723,12410116,13507730,11393385,11393384,16371289,17382090 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14052861, s2 = 13187138, dlinesl.size( ) = 22 s1 = 12828719, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12828813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14030465, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11120093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120093, s2 = 14183255, int(edited[s2]) = 0 s1 = 11120093, s2 = 14183255, d1 = 17, d2 = 13 Dl.O(d1) = 42613510,33589597,25793839,25793838,25793835,25793834,33589603,25793847,19148530,19148529,25793845,33589613,33589614 Dl.O(d2) = 13591452,9306355,9306354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120093, s2 = 14183255, dlinesl.size( ) = 18 s1 = 14331706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14331706, s2 = 6455139, int(edited[s2]) = 0 s1 = 14331706, s2 = 6455139, d1 = 82, d2 = 63 Dl.O(d1) = 118283706,132100044,272175474,169178169 Dl.O(d2) = 254667652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14331706, s2 = 6455139, dlinesl.size( ) = 72 s1 = 12037409, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12829399, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996797, s2 = 11487152, int(edited[s2]) = 0 s1 = 10996797, s2 = 11487152, d1 = 0, d2 = 28 Dl.O(d1) = 4887138 Dl.O(d2) = 262816453,177882782,167388206,167388205,263629471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996797, s2 = 11487152, dlinesl.size( ) = 2 s1 = 10996797, s2 = 11487152, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10996797, Dl.E( ) = 48, 1.69e-05 seconds used appending s1 = 14310958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14310958, s2 = 12888765, int(edited[s2]) = 0 s1 = 14310958, s2 = 12888765, d1 = 2, d2 = 1 Dl.O(d1) = 7428639,11195861,16117711,16117788,16117786 Dl.O(d2) = 99762351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14310958, s2 = 12888765, dlinesl.size( ) = 2 s1 = 14310958, s2 = 12888765, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14310958, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 12888766, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10996787, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10996787, s2 = 11009560, int(edited[s2]) = 0 s1 = 10996787, s2 = 11009560, d1 = 13, d2 = 19 Dl.O(d1) = 7719743,11596926,254244688 Dl.O(d2) = 6176929,9426898,13757005,19252737,25914832,26131917,33970668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10996787, s2 = 11009560, dlinesl.size( ) = 2 s1 = 10996787, s2 = 11009560, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10996787, Dl.E( ) = 30, 1e-05 seconds used appending s1 = 14331816, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10592313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14331838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14331838, s2 = 11519970, int(edited[s2]) = 0 s1 = 14331838, s2 = 11519970, d1 = 0, d2 = 6 Dl.O(d1) = 19226965,19226966,13737086,9411059,9411060,13737087,13720041,9398115,6157341,6157340,9398111,13720033,19208753,25866648,33672875,42703469,53153801,53355160,61606651,53678862,53678863,60861784,60861783,257217684,33846928,26026731,19350155,19350154,26026730,33846926,42890636,53355358,65357728,73611920,60861816,60861814,49458836,49458834,50126693,61606719,74383333,74447796,61663622,61663621,74447795,74383331,74383330,74383323,74383324,65159946,256548656,257658345,60861773,53804705,53804704,49458861,39525218,30914694,23477834,17195329,17195328,23477832,30914691,39525210,30914689,30914690,39525212,49458849,60861851,73611950,79250905,79250904,83963389,87652621,74049479,61269721,257458446,31092801,23609202,17296712,12175215,12175216,17296714,23609188,256502211,49790797,61269657,57977075,57977074,70695110,83963359,86807951,73195919,60449790,60449791,70340392,57649820,46305047,46305046,256626467,25260529,25260528,32983941,41924346,36554653,36554652,36585029,28112543,20935756,20935755,27139942,35235397,44617342,36641428,36641430,35235396,35235391,35235392,30914604,23477767,17195283,17195284,23477769,30914579,35235408,27139951,27139952,28042037,28042036,32090284,30914572,23477745,17195271,17195270,23477743,30914571,26311295,19586399,19586400,15002588,15002589,18710267,18710266,20887886,20942649,20942651,28119980,36593018,35143627,34197473,26324690,26324686,19597973,19597974,14546723,14546722,14042057,9655024,6348675,6348676,9655027,14042061,19597576,26324194,34196844,34196837,26324259,19597616,14042090,14042089,19597614,26324257,34196931,43294565,42249330,33269868,26324174,19597558 Dl.O(d2) = 225805567,265500822,221107431,218163800,218163801,221107433,223624846,225805562,227405996,225441796,223182605,220569107,217496255,213812130,209321951,209321950,213812129,213812125,209321946 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14331838, s2 = 11519970, dlinesl.size( ) = 2 s1 = 14331838, s2 = 11519970, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14331838, Dl.E( ) = 14, 9.06e-06 seconds used appending s1 = 12889362, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11365215, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11048679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11048679, s2 = 11292948, int(edited[s2]) = 0 s1 = 11048679, s2 = 11292948, d1 = 16, d2 = 11 Dl.O(d1) = 19238801,13745227,254664729,3861929,2313540,2313543 Dl.O(d2) = 256677293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11048679, s2 = 11292948, dlinesl.size( ) = 18 s1 = 10662677, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14331914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11055879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11324057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324057, s2 = 10353220, int(edited[s2]) = 0 s1 = 11324057, s2 = 10353220, d1 = 12, d2 = 45 Dl.O(d1) = 137288675,139502117 Dl.O(d2) = 126968359,113109797,99119630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324057, s2 = 10353220, dlinesl.size( ) = 20 s1 = 10635132, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10635132, s2 = 13057487, int(edited[s2]) = 0 s1 = 10635132, s2 = 13057487, d1 = 6, d2 = 6 Dl.O(d1) = 265317677,264903287,264397239,204963982,198619004,263399823,161274855,148969168,135730130,121790406,107407314,92998821,78888590,257845403,43049028,33990281,26149351,19451261,13919754,13919753,19451259,14053396,14053395,255143830,19611912,19610912,19610911,14053045,9663185,6354326,3986897,3986898,6354328,9663189,14053053,15502600,10720889,7082860,7082859,10720896,12472091,17645565,14051099,9661830,9661831,14051107,12067153,8114318,8114319,12067159,14052173,9662564,6354140,6354138,6355142,6353679,3986548,3986547,6353672,9662075,9665252,9665251,14055812,9665241,9665177,6355600,3987642,3987644,6355607,9665196,14055753,19614661,18775207,15502641,15502639,21512538,28774261,21512483,21512484,268072985,10720911,13370925,18775213,14053680,9663631,6354583,3987040,254462655,9663632,14053682,19612158,26340710,256705571,43312311,257860383,65903585,79265765,93392007,107814105,122220156,136184704,149435818,160647412,148384435,135217915,121368555,107072089,258110224,53360949,42894938,42894939,53360950,46832132,36953951,36953950,46832131,58198195,48519303,256413686,22656381,16463370,11470912,7629925,7629924,11152229,7397011,4673017,2815326,1633320,1633321,2815329,4673022,7397018,11152240,15379666,21356976,28587907,22195072,16066513,16066514,255845418,11151797,7396680,7396679,11151795,9665497,7897063,7897062,7636509,4831133,4831135,7636514,11481722,268073126,255841678,22189152,16061594,16061593,11469014,7628788,7396554,7106617,4474197,4474193,7106602,4739605,4739607,4825978,4825980,254120722,11150805,11150806,11153413,7397903,7397904,7397617,4673398,2815551,2815553,4673407,4673625,2815671,2815672,4673630,7397982,11153481,11203412,7433900,4697559,4697558,7396649,4672751,4672752,7396653,7398008,7395904,7395902,7432552,7432549,11150828,7395973,4672321,4672318,7395983,11150846,13465831,9208184,6028268,3771312,3771313,6028272,9208191,13465839,11153384,7397880,4673561,2815642,2815641,4673558,7397877,7432589,4696662,4696663,7432593,11201627,11152959,11152961,16062243,11153009,11153008,11202236,16126164,11202171,7432986,4696911,2829930,2829932,4696913,7432991,7872045,7395596,7395597,4672146,2830150,1642045,933702,933701,1642043,2830145,4697280,7433463,11202773,16126855,16126864,16126865,16126455,11202450,7433221,4697093,4697094,7432910,11202042,11202208,16126207,22267343,29618536,29618670,22268405,16127433,16127432,22267913,22267912,22267902,16126844,16126845,22267904,16126850,11202771,11202770,16126848,22267906,29618959,29618672,22267547,16126452,11202447,255083481,22267543,22267966,22267967,29618984,22268400,16127430,16127431,22267536,16126441,11202439,11202438,16126440,22267534,29618669,28814847,21546458,15529037,10740100,10740101,15529038,16127064,16127063,22268089,256395527,29166174,256360499,47648193,44590916,35210507,27118609,27118610,30627682,23205033,16934650,11852272,254166076,5036218,7921592,11852282,11849625,7919883,5035247,5035248,7919873,11849581,16930778,22267073,22278378,16135360,11208727,11208726,16135354,22278367,22279706,16136312,11209326,7437570,7437572,11202002,11202177,11202174,16126172,22267304,27118653,27118652,29630445,29535765,29535766,29630832,29528437,22186055,22186054,19221558,19221557,25880680,21546453,16065223,11155016,7398922,7398920,11155004,16065198,22193565,29531569,22278350,22278349,29630185,29536707,255461242,22193545,16065188,11154999,11155000,16065190,268400737,38100342,48010732,38099785,29535958,22192716,22192715,255892047,16064457,11154519,11154520,16064458,22192758,28340713,256298903,22192745,16462683,11470479,11470478,16462681,16064463,11154523,7398629,7398628,11154522,255454423,15764280,15764279,21832979,29140615,22660395,255106373,11472994,255486655,22193448,22192729,16064434,11154509,7398623,7398622,255078397,7631189,7631188,11472975,16466370,22192742,16065118,16065117,16462716,11470497,7629669,4827158,4827157,7629668,11470495,16462714,22655466,22672691,22672692,30048070,38100278,38100279,38099328,29535425,29535424,255005040,38609567,38099191,38099189,38609565,30035432,30035433,30035367,22660308,16466325,16466327,22660313,29748736,255469485,11282505,7489516,4733128,4733125,7489509,11282494,16065473,21169073,22564885,16701242,16701243,16476457,16476458,16462711,11470492,11470490,16065582,22194037,29537138,22672703,16476509,11479927,11479925,16476500,22672699,30048074,29535466,29535434,22192197,22192195,29535326,29535325,28340941,28340940,36837760,38060667,38060668,47972843,48535890,38620881,30047150,30047149,30047151,30045427,22670038,16474293,16474294,21169082,28387482,255843512,21014850,15093400,10409838,10409839,15093402,254789757,254789755,16476669,22672890,30048251,29748728,29748729,38100742,255843452,255843450,22388758,21014841,15093395,10409835,10409834,15093394,16384918,16475159,16476234,16476208,16476205,16476473,16476472,12144783,12144782,11291998,11291999,7635314,4830404,4830405,7635076,11479502,16241992,11291912,7497128,7497129,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,22414153,22536337,255097384,11470787,11470786,16463155,16475808,11479469,7635055,4830244,2910639,2910640,4830246,7635059,11479473,255487335,22663525,21538898,15523223,10735989,10735990,15523229,21538899,16249541,11297154,11297153,16249539,256173455,26126275,30047775,22672353,22672352,30047773,30038179,30038178,30039405,255395230,16474483,11478553,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,303312,541242,960269,959784,254242207,4827294,267979551,255916651,22536654,29891433,38448233,257536298,48519305,59912724,259394711,86068947,260012899,127939395,272563893,165743821,176406558,185844411,194074377,273994508,215974915,265395795,226592684,266000723,232706256,233855333,234901692,235854694,235854688,235854687,236722927,237514170,274779104,238905695,238253170,237536304,236746564,266256022,234928210,233883503,232737058,231468662,230052869,228457001,226641214,224558276,264566854,216062819,263629686,201269593,194235247,186022854,176602291,165956629,154197480,141534392,128176614,114293621,100263658,86301622,72704643,256021096,48575873,59967606,72704644,86301620,86301621,100263656,114293620,128176612,141534391,154197478,165956628,165492849,153714086,141047014,127697263,113827743,99812639,85859354,72267661,59533596,48146310,48146311,58073586,58073587,59533600,48146313,38236398,29671053,29671052 Dl.O(d2) = 265317677,264903287,264397239,204963982,198619004,263399823,161274855,148969168,135730130,121790406,107407314,92998821,78888590,257845403,43049028,33990281,26149351,19451261,13919754,13919753,19451259,14053396,14053395,255143830,19611912,19610912,19610911,14053045,9663185,6354326,3986897,3986898,6354328,9663189,14053053,15502600,10720889,7082860,7082859,10720896,12472091,17645565,14051099,9661830,9661831,14051107,12067153,8114318,8114319,12067159,14052173,9662564,6354140,6354138,6355142,6353679,3986548,3986547,6353672,9662075,9665252,9665251,14055812,9665241,9665177,6355600,3987642,3987644,6355607,9665196,14055753,19614661,18775207,15502641,15502639,21512538,28774261,21512483,21512484,268072985,10720911,13370925,18775213,14053680,9663631,6354583,3987040,254462655,9663632,14053682,19612158,26340710,256705571,43312311,257860383,65903585,79265765,93392007,107814105,122220156,136184704,149435818,160647412,148384435,135217915,121368555,107072089,258110224,53360949,42894938,42894939,53360950,46832132,36953951,36953950,46832131,58198195,48519303,256413686,22656381,16463370,11470912,7629925,7629924,11152229,7397011,4673017,2815326,1633320,1633321,2815329,4673022,7397018,11152240,15379666,21356976,28587907,22195072,16066513,16066514,255845418,11151797,7396680,7396679,11151795,9665497,7897063,7897062,7636509,4831133,4831135,7636514,11481722,268073126,255841678,22189152,16061594,16061593,11469014,7628788,7396554,7106617,4474197,4474193,7106602,4739605,4739607,4825978,4825980,254120722,11150805,11150806,11153413,7397903,7397904,7397617,4673398,2815551,2815553,4673407,4673625,2815671,2815672,4673630,7397982,11153481,11203412,7433900,4697559,4697558,7396649,4672751,4672752,7396653,7398008,7395904,7395902,7432552,7432549,11150828,7395973,4672321,4672318,7395983,11150846,13465831,9208184,6028268,3771312,3771313,6028272,9208191,13465839,11153384,7397880,4673561,2815642,2815641,4673558,7397877,7432589,4696662,4696663,7432593,11201627,11152959,11152961,16062243,11153009,11153008,11202236,16126164,11202171,7432986,4696911,2829930,2829932,4696913,7432991,7872045,7395596,7395597,4672146,2830150,1642045,933702,933701,1642043,2830145,4697280,7433463,11202773,16126855,16126864,16126865,16126455,11202450,7433221,4697093,4697094,7432910,11202042,11202208,16126207,22267343,29618536,29618670,22268405,16127433,16127432,22267913,22267912,22267902,16126844,16126845,22267904,16126850,11202771,11202770,16126848,22267906,29618959,29618672,22267547,16126452,11202447,255083481,22267543,22267966,22267967,29618984,22268400,16127430,16127431,22267536,16126441,11202439,11202438,16126440,22267534,29618669,28814847,21546458,15529037,10740100,10740101,15529038,16127064,16127063,22268089,256395527,29166174,256360499,47648193,44590916,35210507,27118609,27118610,30627682,23205033,16934650,11852272,254166076,5036218,7921592,11852282,11849625,7919883,5035247,5035248,7919873,11849581,16930778,22267073,22278378,16135360,11208727,11208726,16135354,22278367,22279706,16136312,11209326,7437570,7437572,11202002,11202177,11202174,16126172,22267304,27118653,27118652,29630445,29535765,29535766,29630832,29528437,22186055,22186054,19221558,19221557,25880680,21546453,16065223,11155016,7398922,7398920,11155004,16065198,22193565,29531569,22278350,22278349,29630185,29536707,255461242,22193545,16065188,11154999,11155000,16065190,268400737,38100342,48010732,38099785,29535958,22192716,22192715,255892047,16064457,11154519,11154520,16064458,22192758,28340713,256298903,22192745,16462683,11470479,11470478,16462681,16064463,11154523,7398629,7398628,11154522,255454423,15764280,15764279,21832979,29140615,22660395,255106373,11472994,255486655,22193448,22192729,16064434,11154509,7398623,7398622,255078397,7631189,7631188,11472975,16466370,22192742,16065118,16065117,16462716,11470497,7629669,4827158,4827157,7629668,11470495,16462714,22655466,22672691,22672692,30048070,38100278,38100279,38099328,29535425,29535424,255005040,38609567,38099191,38099189,38609565,30035432,30035433,30035367,22660308,16466325,16466327,22660313,29748736,255469485,11282505,7489516,4733128,4733125,7489509,11282494,16065473,21169073,22564885,16701242,16701243,16476457,16476458,16462711,11470492,11470490,16065582,22194037,29537138,22672703,16476509,11479927,11479925,16476500,22672699,30048074,29535466,29535434,22192197,22192195,29535326,29535325,28340941,28340940,36837760,38060667,38060668,47972843,48535890,38620881,30047150,30047149,30047151,30045427,22670038,16474293,16474294,21169082,28387482,255843512,21014850,15093400,10409838,10409839,15093402,254789757,254789755,16476669,22672890,30048251,29748728,29748729,38100742,255843452,255843450,22388758,21014841,15093395,10409835,10409834,15093394,16384918,16475159,16476234,16476208,16476205,16476473,16476472,12144783,12144782,11291998,11291999,7635314,4830404,4830405,7635076,11479502,16241992,11291912,7497128,7497129,7634336,11478272,7635889,4830772,4830773,7635896,11480837,16473986,16473984,11478627,7634513,4829913,4829912,7634507,11478612,16060390,11151590,11151592,16060400,16474543,11478583,7634491,7634490,11474240,11474241,11291888,11291886,16241950,16476089,16476090,22414153,22536337,255097384,11470787,11470786,16463155,16475808,11479469,7635055,4830244,2910639,2910640,4830246,7635059,11479473,255487335,22663525,21538898,15523223,10735989,10735990,15523229,21538899,16249541,11297154,11297153,16249539,256173455,26126275,30047775,22672353,22672352,30047773,30038179,30038178,30039405,255395230,16474483,11478553,7634476,7634475,7636624,7636625,7634973,4830502,2910769,1688609,960296,541256,303313,303312,541242,960269,959784,254242207,4827294,267979551,255916651,22536654,29891433,38448233,257536298,48519305,59912724,259394711,86068947,260012899,127939395,272563893,165743821,176406558,185844411,194074377,273994508,215974915,265395795,226592684,266000723,232706256,233855333,234901692,235854694,235854688,235854687,236722927,237514170,274779104,238905695,238253170,237536304,236746564,266256022,234928210,233883503,232737058,231468662,230052869,228457001,226641214,224558276,264566854,216062819,263629686,201269593,194235247,186022854,176602291,165956629,154197480,141534392,128176614,114293621,100263658,86301622,72704643,256021096,48575873,59967606,72704644,86301620,86301621,100263656,114293620,128176612,141534391,154197478,165956628,165492849,153714086,141047014,127697263,113827743,99812639,85859354,72267661,59533596,48146310,48146311,58073586,58073587,59533600,48146313,38236398,29671053,29671052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10635132, s2 = 13057487, dlinesl.size( ) = 2 s1 = 10635132, s2 = 13057487, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10635132, Dl.E( ) = 8, 7.15e-06 seconds used appending s1 = 12889620, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322636, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14322636, s2 = 11062682, int(edited[s2]) = 0 s1 = 14322636, s2 = 11062682, d1 = 1, d2 = 19 Dl.O(d1) = 24098864,24098863,31602992,34229764,26355108,19624979,19624977,26355106 Dl.O(d2) = 70910637,73981238,268099450,23545758,255134498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14322636, s2 = 11062682, dlinesl.size( ) = 22 s1 = 14331952, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11149431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11149431, s2 = 11066892, int(edited[s2]) = 0 s1 = 11149431, s2 = 11066892, d1 = 19, d2 = 20 Dl.O(d1) = 258150533,58646604,71382291,258250542 Dl.O(d2) = 254580272,7835984,7835983,11736849,16786229,20798855,20140766,16922571,16922570,23189268,20140770,20140769,22689359,21435443,21435444,28685235,29807912,22441434,22441367,16476255,11479762,7635236,7635237,11479766,16476262,22672432,23189235,23189236,28118556,256956150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11149431, s2 = 11066892, dlinesl.size( ) = 20 s1 = 16296251, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 1060499, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10882761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10882761, s2 = 14164537, int(edited[s2]) = 0 s1 = 10882761, s2 = 14164537, d1 = 44, d2 = 41 Dl.O(d1) = 11820020,12305849,12305850,15235717,10510221,10510222,15235722,21200837,25962235,33771560,26616574,19807645,14188086,9753356,9753355,14188079,19807630,26616550,24149921,24149919,31660349,35357135,27234461,20304988,17888790,12671043,12671044,17888796,24267612,31780147,25104078,25104077,25960987,19295818,19295819,25960991,28422904,25960964,19295802,19295794,19295795,15235238,10510182,10510181,15235640,21200729,21200772,28424010,31778681,24266156,23787063,21200826,15235711,15235712,20305006,21276167,28493045,31660341,24149914,24149915,25962639,19807617,19807616,26616534,31877519,24352581,24352582,31660346,40355303,44781206,35357128,31780121,24267599,24267600,31780126,36920856,40474775,32806119,25104069,25104067,32806117,33769914,35366704,42803554,42801565,33769873,33769874,36921186,28423042,21200719,15235633,15235632,21200715,28423953,27243288,27243287,35366732,34604143,34604142,36922553,28424050,28424049,28423037,28423039,36921182,36922459,36922457,43874480,51876982,54616924,43874489,43874490,40581679,40581678,46800692,46800693,58168161,53257182,53257183,58940515,50510053,40474756,35366796,27243325,20312357,14577181,14577180,20312338,27243284,27243272,27243271,35366708,35366850,35366849,35366874,36920880,28422824,21199929,15235155,15235153,21199925,27243302,20312344,20312343,27243298,35366763,44791094,46800742,46800741,46800642,36922473,28423978,21200737,21200736,28423972,36922466,38053583,47966831,58167879,46800449,46800447,51100783,40958898,32179999,32180000,40958902,44791055,44791056,44791148,35366823,27243340,20312365,14577189,10030768,6592358,6592360,10030774,14577203,20312388,27243377,35366846,35366845,44791174,55698470,51132537,46798665,36920860,28422805,28422806,36920867,36921537,44791077,35366775,35366776,44791105,55698429,47966866,38053612,29489736,22151120,16031578,16031577,22151118,29489728,38053605,47966852,59358056,58167874,58167873,62731804,51100772,40958893,35366720,27243277,27243278,35366726,44791058,44791142,35366816,35366817,29489713,29489714,27243346,27243345,35366835,44791162,55698459,52302538,52302539,44791124,42992388,42992389,52555218,269062326,46798660,58165915,46799441,46799442,58166803,52762079,52762078,64677100,68095784,70880402,70880403,59358061,47966854,47966837,38053587,38053588,42996774,53472428,53353737,42889029,33845150,26025065,26025066,26428622,34306476,36921144,28423306,28423307,36921555,39759552,49778206,61256890,60115992,48721253,38800277,38800276,44791156,50826021,50826020,52302545,41961928,41961926,42992387,33937932,32112490,24535551,18102443,12835259,12835260,18102448,24535559,257126733,42803705,33771668,25962304,255637370,42803706,255238566,78536255,69416232,56833499,56833500,69416233,75540869,62648788,59478265,256072498,38176706,48088606,51022862,60115998,48721258,39759563,39759562,43028384,38800301,30216225,30216224,30216228,38800304,39759556,268434847,17285887,17285889,23598225,28423025,21200058,21200057,28423021,36921153,36920852,36920851,38174891,48087153,57879743,48721256,48088199,38176312,29609603,29609601,33937935,40836869,32068291,24496923,24496922,27667694,20604542,20604540,26428967,24421616,24421615,29609892,29609890,31975100,24421613,22259313,22259314,22823941,22823942,28812297,22823971,16603420,11579751,11579750,16603417,22823962,23598343,23598246,17285898,12165116,8196474,8196473,12165111,17285885,23598218,17285932,17285931,23598299,29607928,22257475,19413155,13888919,13888918,19413148,26103698,29609597,22259324,22259325,23598323,31081949,29609617,22259335,22259334,29609612,27667698,27667697,31202253,31202255,38174828,29607857,29607858,29609448,38174929,38174928,48087181,48721260,47260257,38800309,30216235,30216238,38800312,38174686,38174685,48086988,49778228,39759573,31081803,23598234,23598235,29607896,23598210,23598209,31081775,29608325,29608324,38174699,38174673,36922202,33937959,33937942,33937943,38175200,38175198,48087263,38175055,29608114,22257653,22257654,29608118,38175035,38175034,29608316,23714470,17390578,17390577,23714465,31202258,39882216,48087184,38174931,29607972,29607974,38174934,48087188,38174988,38174989,48087224,39882213,38174976,38174974,48086983,48087120,48087145,38174872,29607900,22257453,16118126,16118128,16118483,22257863,22257458,22257321,22257320,29607737,29607908,22257615,22257614,29608072,29608311,29608287,29608284,29608283,29608125,22257661,16118273,16118249,16118248,22257621,22257854,16118479,16118478,16118422,16118421,22257528,29607989,29608536,22258021,22258020,22258031,16118596,16118597,22258034,29608034,22257576,21200158,21200157,22257562,29607879,22257440,22257428,16118105,16118109,22257429,22259341,22257372,16118054,16118055,16118463,16118131,11196192,11196194,16118136,22257465,29607914,22257505,22257506,22257516,22257517,16118441,11196505,11196503,16118276,11196357,11196326,7429036,4694367,4694368,7429040,11196198,11196200,11196248,16118182,22257536,22258025,16118589,11196630,11196629,11196625,11196624,16118579,22257580,16118218,11196289,11196287,16118213,22257443,16118115,15235741,15235740,11196602,11196601,16118556,16118063,11196135,11196134,11196532,11196531,11196551,7429228,7429227,11196547,11196237,7428948,7428949,11196240,11196522,7429209,4694502,2828539,2828538,4694496,4694402,4694380,2828477,2828476,4694285,4694286,4694308,4694307,7428957,11196253,7430218,7430216,7429294,7429295,7428872,4694254,4694253,7428866,11196146,7428998,7428997,11196293,16118120,11196178,7428902,7428903,11196180,7430203,7430201,11197836,16118469,11196536,7429221,4694508,2828547,2828549,4694517,7429235,4694872,2828739,2828738,4694867,7429776,7429074,7429073,4694435,4694408,2828492,1641105,933194,933184,933178,933165,933169,1641074,2828441,4694315,7428965,4695232,4695233,7428927,7428928,4694899,4694901,7429812,11196141,11196224,7428940,7428939,7428913,4694281,2828420,2828418,4694277,7428906,4695219,2828950,1641354,1641355,2828956,4694527,2828555,1641135,933211,933212,1641139,2828566,4694543,4694861,7429768,7429869,4694960,4694959,4694444,2828512,1641120,933202,525975,294732,162986,162985,294724,525965,933177,1641085,2828462,4694354,4694972,254527663,7429063,11196352,16118268,255459841,11196380,7429088,7429087,11196378,16118303,22257702,29608159,38175097,29608301,22257841,16118457,254770979,4695164,2828920,2828902,2828901,4695135,4695000,2828831,1641277,933276,933274,1641270,1641335,933308,933306,1641323,2828786,1641250,933259,933260,1641253,2828794,4694954,7429864,7428846,4694446,4694448,4695113,2828896,2828897,4695122,7428835,4694222,4694221,7428830,11196116,11197777,11197546,7429952,4695027,4695026,4694466,4694464,4694458,4694457,7429144,11196422,7429189,4694484,2828530,2828528,4694475,7429174,4695093,2828886,1641309,933295,526016,526014,933287,1641300,2828878,2828837,2828838,2828866,2828781,1641244,1641243,2828776,4694936,7429850,4695021,4694888,4694887,7429129,7430116,4695130,4695129,7430087,11196118,11196119,11197825,11196446,11196447,7430158,4695186,4695184,7430154,11197388,11197389,7430135,7429136,7429135,4695181,4695180,7430145,11196486,16118375,11196457,11196456,11196461,7429972,4695041,2828850,1641284,933280,933281,1641286,2828853,4695014,4695005,4695004,4695065,4694926,2828768,2828767,4694921,7429836,11197432,11197596,7429998,7429999,11197601,11197519,7429932,7429931,11197514,16119686,16118352,16118353,22257353,16119929,16119920 Dl.O(d2) = 270333539,270788829,83892582,97749349,257386838,44835342,35410081,27284789,254998234,14596643,10043777,6600369,4135013,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816532,6099806,9311879,13599044,13598881,13598883,10276079,6753248,5633160,4845332,4845334,7657805,11511640,12937422,8801560,8801562,10340106,9909441,6512909,4081298,2442098,2442095,4081284,6512880,9909404,14407123,20094371,21218884,15250043,10520583,7083894,7083898,4858469,4486836,4486835,3826782,3826784,3826730,2292608,2292609,3826736,6116150,4597482,2765760,2765761,4597443,4597438,7290574,11013165,15887278,269772154,4348854,2604620,2604621,4348857,6922332,10497778,15218624,21179002,28399392,25842441,19188556,19059818,13606570,9317066,9317065,13606568,19059815,25483888,30468807,23059626,16812013,16812014,19188496,16811996,13457750,11756988,11756989,13457732,12933824,8798858,5731460,5731459,8798855,12933821,18234343,20795028,27956498,33186271,25440916,18844394,18844393,25440914,255666426,23461912,255720982,25710597,19083377,19083376,25710595,23054887,23054888,25034033,25240180,18670507,18670505,25240174,28409478,36891281,28394082,28394081,269005677,74679774,258407458,102301227,259034490,130224844,260873766,130224848,259034492,88306789,102301228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10882761, s2 = 14164537, dlinesl.size( ) = 8 s1 = 11311701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11311701, s2 = 8264536, int(edited[s2]) = 0 s1 = 11311701, s2 = 8264536, d1 = 19, d2 = 34 Dl.O(d1) = 262312719 Dl.O(d2) = 131465599,260195909,103528650,117661304,261362307,263289271,178842937,168540533,157092454,144691451,131465587,117661290,103528636,89432668,75669383,75669382,259580425,260792609,261901087,144691458,131465597,131465596,270978402,51090891,51090892,258953857,62722931,51090889,40947478,32167817,24582044,255219797,8747325,5695111 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11311701, s2 = 8264536, dlinesl.size( ) = 8 s1 = 12831239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12831239, s2 = 14332048, int(edited[s2]) = 0 s1 = 12831239, s2 = 14332048, d1 = 0, d2 = 0 Dl.O(d1) = 30342157,22940958,22940957,255704580,30342147,38928417 Dl.O(d2) = 30342157,22940958,22940957,255704580,30342147,38928417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12831239, s2 = 14332048, dlinesl.size( ) = 2 s1 = 12831239, s2 = 14332048, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12831239, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14332047, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12831263, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12831263, s2 = 11378002, int(edited[s2]) = 0 s1 = 12831263, s2 = 11378002, d1 = 22, d2 = 28 Dl.O(d1) = 255107416 Dl.O(d2) = 261132158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14332082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14332082, s2 = 7156476, int(edited[s2]) = 0 s1 = 14332082, s2 = 7156476, d1 = 18, d2 = 16 Dl.O(d1) = 24816506,256598857,33520869,25741016,25741013,33520861 Dl.O(d2) = 263337979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14332082, s2 = 7156476, dlinesl.size( ) = 2 s1 = 14332082, s2 = 7156476, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14332082, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 10470778, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10716918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315609, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11431847, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11431847, s2 = 11261826, int(edited[s2]) = 0 s1 = 11431847, s2 = 11261826, d1 = 93, d2 = 67 Dl.O(d1) = 262741014,109584337,95329167,81270016,67802336,55460787,55460786,269352870,35231105,256756863,35231102,27136523 Dl.O(d2) = 86912022,260067247 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11431847, s2 = 11261826, dlinesl.size( ) = 2 s1 = 11431847, s2 = 11261826, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11431847, Dl.E( ) = 94, 4.29e-05 seconds used appending s1 = 11236977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11236977, s2 = 7201293, int(edited[s2]) = 0 s1 = 11236977, s2 = 7201293, d1 = 15, d2 = 41 Dl.O(d1) = 81297617 Dl.O(d2) = 141688305,263929351,265009599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11236977, s2 = 7201293, dlinesl.size( ) = 32 s1 = 16283207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12890572, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16302139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16302139, s2 = 14332217, int(edited[s2]) = 0 s1 = 16302139, s2 = 14332217, d1 = 7, d2 = 4 Dl.O(d1) = 12217461,17343904,23660725,31147458,39829566,39829560,39829561,49852835,50389640,49852848,39829576,31147467,23660728,17343906,17343905,256505901,39829574 Dl.O(d2) = 49852869,61335699,256955698,41693678,257760545,70951626,61335698,49852867,39829586,31147479,256505909,36988239,46866700,58234536,258145316,258244934,58234532,46866698,46866699,58234534,70951629,73978102,73978101,73978100,259184376,257935036,50030839,40012157,31333779,23841886,17501293,268051520,8337004,10271013,6749603,5588839,3467278,3467277,4279720,2558778,1473782,1473783,1475462,1475463,2562157,4280064,5733276,8801531,10381202,10381200,11401889,14987196,10318749,6788553,6788552,8132975,6771374,4244147,2537585,2537584,4244145,5205925,5205926,8125916,12083846,14957944,10394183,6851267,4299450,2570513,2570512,4299448,6771812,6771814,5373469,5373471,8326085,8596890,5586016,5586017,8596894 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16302139, s2 = 14332217, dlinesl.size( ) = 2 s1 = 16302139, s2 = 14332217, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16302139, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14332218, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15283250, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15283250, s2 = 11375612, int(edited[s2]) = 0 s1 = 15283250, s2 = 11375612, d1 = 5, d2 = 68 Dl.O(d1) = 4858596 Dl.O(d2) = 271353569,128304790,261761728,263160057 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15300998, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15300998, s2 = 7125544, int(edited[s2]) = 0 s1 = 15300998, s2 = 7125544, d1 = 53, d2 = 63 Dl.O(d1) = 262269952,258791799,257559239,38734441,257559241,72790234,86386264,99886683 Dl.O(d2) = 195090700,202005982,207821335,212614618,215149225,210981791,263707356,263707358,202005983,207821337,212614622,274096110,212614619,212614618,215149225,210981791,263707356,262917032,138864737,138864736,138864737,125532408,259011684,36513751,28049514,28049513,36513750,28897069,28897068,28902769,21628200,20821367,20821368,23818458,31305609,34007176,32319936,24705513,18234647,18234648,24705518,21628475,15597469,15597470,19465470,13930600,13930595,19465461,26165866,255797314,65569051,78904221,93014407,258637424,260227623,104355312,104355313,104355299,90200081,90200080,104355297,260824181,132384495,118541959,104355290,104355291,104355309,90200091,76370462,258983971,90200067,90200068,90200092,104355310,91166398,77247953,64101336,52252739,52252740,64101339,77247961,271024545,119625024,105388577,105388576,258975842,71027045,269946272,58311305,58311304,59877145,59877146,71027046,71027047,72615467,72615466,86213896,77247970,64101348,52252745,52252744,58311315,58311313,59877151,59877117,48485614,38572426,30001822,30001823,38572428,256966437,38572439,257547181,48485617,38572429,38572430,257547177,72615427,257750552,72615435,72615434,72615421,59877112,59877113,59877142,72615453,72615430,59877123,59877122,65230724,53242266,42791108,42791107,53242264,65230720,59877178,59877158,255635640,48485630,257547179,59877137,59877138,72615448,86213886,100177667,90532853,76669938,76669937,86213919,86213883,72615445,59877132,59877133,59877036,48485520,48485522,59877038,48485540,38572335,30001735,22632142,16444906,11457809,11457810,16444908,12321380,12321381,17476178,17476181,23809744,22632111,22632109,30001693,38572289,38572361,30001765,22632172,16444934,255484751,30001768,30001872,30001871,30001875,30001874,30001706,22632121,16444895,16444894,22632118,16445031,254788339,7621192,254516860,254516858,38572474,268218166,30001755,22632166,16444930,16444931,22632167,30001690,30001691,30001751,22632160,16444927,16444928,255925639,38572355,30001877,22632273,22632116,268090851,4821887,2905703,1685522,1685523,2905706,4821891,7621115,11457818,11457910,11457850,7621135,7621137,7621119,7621120,11457830,16444921,11457906,7621174,267979335,4821915,2905720,267766965,958346,1685527,2905717,4821910,7621146,11457863,11457938,7621203,267832079,2905733,254540461,11457951,254788333,7621149,11457865,16444964,22632212,16445050,11457945,11457946,16445052,22632304,30001901,268953635,32171000,24585126,24585127,32171004,38572408,38572407,32906821,32906822,37039814,46917637,58283221,48485609,38572417,38572416,48485606,48485575,48485571,38572373,38572372,48485569,59877081,48485583,257547173,61840333,258284167,58461107,47083052,37187661,37187662,37187665,37187688,37187689,47083075,43879126,41295044,32453830,24817445,18326996,18326997,24817450,24132091,24132092,31639329,40328935,42183683,33223629,25475592,25475593,33223631,257201340,26620025,26620024,34608322,43879125,269613667,43879130,43879131,54621466,63225028,63225027,63225024,63225023,60522801,60522800,257791692,66879247,54621470,54621469,51511818,43879143,37187686,28666444,26620030,26620031,34608334,43879139,41295054,32453837,25475213,25475214,30597038,256086529,24817482,26620032,34608336,33223161,25475216,25475217,33223166,42183127,41295112,32453893,24817495,18327021,268015261,8857071,13009467,18327027,24817510,32453912,41295136,42183108,52541945,42183109,39194094,39194095,33223151,25475209,25475210,24817470,24817471,24817481,23177972,16913218,11836630,11836629,16913214,23177961,30597028,39194113,39194068,30596995,23177944,23177943,30596989,31857362,31857363,255521362,42183122,52541955,52541943,42183098,33223126,25475188,25475187,255665902,255665912,60522809,49121746,39194123,30597034,23177964,23177965,30597035,39194125,49121749,255136316,268099916,64416091,52541952,42183115,33223148,25475206,18873909,13449336,13449335,18873907,25475203,33223144,33223116,25475181,18873894,13449328,9197263,9197264,13449331,18873897,25475190,33223131,38119969,48033173,52541912,42183035,42183036,40558903,31857323,24335281,17945570,12716215,12716214,17945567,24335280,31857318,40558896,50599848,41215418,32392571,24770116,18291309,18291308,24770114,32392566,41215414,42183034,47710449,40558910,31857328,24770068,24770069,32392538,32392554,24770083,18291282,12982901,8837890,8837889,12982899,18291279,24770079,32392546,33222438,31857273,24335234,24335233,31857268,29227467,21911380,21911381,24770108,31857249,24335211,24335212,31857252,39023866,31852465,24332421,24332420,31852463,31857331,31857332,40558811,31857193,267931610,254651030,31857335,24335288,24335179,24335177,31857217,31857343,24335295,17945581,14564530,14564531,17945508,17945509,24335163,17945493,12716169,12716168,17945490,24335158,17945599,12716237,12716235,8640167,8640168,12716244,17945614,21369663,21369664,24335222,254896240,24335170,17945502,17945503,24335172,25130327,25130328,32835642,39969400,31295037,23809249,17943791,17943792,21702433,28985478,37529908,40558854,31857365,31857364,29172866,29172865,37733489,47655210,59055677,71796393,85384697,99328567,113331104,127189863,140535963,140535967,153217763,165036174,153217708,140535897,127189819,113331072,113331073,116171100,113331100,259780280,61731813,50253227,256737124,255737390,17692059,18117148,18117147,17842482,12634981,12634983,14196425,17844862,17844861,24214367,17843952,17843950,20963115,20963114,26394511,19660207,15053483,15053482,20963108,15867565,10997779,7280243,7280244,10997782,15238215,15238217,21204034,28427677,36926294,46804491,58171913,256963092,269819844,126196679,139571983,260620242,260019642,139571976,139571977,152301712,164185014,175000774,167557589,167557588,260620238 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15300998, s2 = 7125544, dlinesl.size( ) = 58 s1 = 11096621, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096621, s2 = 11131666, int(edited[s2]) = 0 s1 = 11096621, s2 = 11131666, d1 = 35, d2 = 37 Dl.O(d1) = 255369616,31779492,28084630,20911558,15006377,15006378,254481970,259256431 Dl.O(d2) = 273083552,259401738,258103733,85498504,85931853,99887252,257271596,66891144,54633627,255309936,34619179,43890747,54633625,269486944,85931872,85931734,258136603,48215877,269342183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096621, s2 = 11131666, dlinesl.size( ) = 34 s1 = 15267463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12832657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12891280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14323264, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14323264, s2 = 12268904, int(edited[s2]) = 0 s1 = 14323264, s2 = 12268904, d1 = 5, d2 = 18 Dl.O(d1) = 86430181 Dl.O(d2) = 114408630,272227215,141681760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14323264, s2 = 12268904, dlinesl.size( ) = 24 s1 = 14312214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10633407, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11425757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11425757, s2 = 11196248, int(edited[s2]) = 0 s1 = 11425757, s2 = 11196248, d1 = 10, d2 = 13 Dl.O(d1) = 178703895,272939647,271928139,255608937,18076076,24504617,24504625,32078373 Dl.O(d2) = 255797984,40850166,32078365,24504622,18076078,12814949,8712992,5671764,3527908,3527909,254886249,18076091,24504639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11425757, s2 = 11196248, dlinesl.size( ) = 2 s1 = 11425757, s2 = 11196248, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11425757, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 11234693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234693, s2 = 11650016, int(edited[s2]) = 0 s1 = 11234693, s2 = 11650016, d1 = 13, d2 = 18 Dl.O(d1) = 257495426,43856534,256197973,19792542,14177135,14177136,19792543,20336373,19644743,14080249,9684628,6370120,6370121,9684631,14080254,16142068,11214038,11214037,13702717,9385156,6411750,4022365,4022363,6411424,4022184,4019895,4019894,6407503,9744455,9985445,6563044,6563043,9985438,14511525,20222927,20222930,18138666,14178411,9747136,9747138,14178420,14178623,9747255,9747254,14178617,17515176,23858284,31351777,40031998,34597653,26610499,26610498,34597651,43868009,47918585,47858841,37939408,29373226,29373227,35398480,254996228,20336343,21902393,21902392,29216691,29370388,254349164,22824939,19199636,19199639,25856478,22043886,15940978,15940976,15623814,14178825,14178824,15956982,15956985,20785230,16167174,16167171,20246066,14528283,14528286,18130822,23187286,24572176,22619716,19360010,15468660,15468661,14528339,14528340,18130633,12856008,12856006,18130629,24572052,32156133,27208285,26038898,19360886,13848366,9500016,9500017,13848371,19360895,26038911,31539153,31539152,30217176,22824802,16604092,16604091,22824798,27158433,20246668,14528688,14528686,20246662,16878640,16878639,17124738,17124739,21956564,15864628,10995766,7278968,4590600,4590599,7278965,10995754,10995777,15864650,21956593,29280695,29280696,28810338,22823630,16603173,11579609,11579610,16603178,22823636,26038891,23351773,18805242,13396546,9158550,9158551,13396548,18805246,25391951,256638919 Dl.O(d2) = 261609652 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234693, s2 = 11650016, dlinesl.size( ) = 26 s1 = 11020443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11020443, s2 = 11200782, int(edited[s2]) = 0 s1 = 11020443, s2 = 11200782, d1 = 37, d2 = 26 Dl.O(d1) = 11510075,7656889,6603051,4136470,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,6753025,4359880,4359881,6938080,9172869,6003746,6003747,9172873,13415956,10520500,6938063,6938066,6752385,4231188,4231187,6601929,6766250,6766247,10292577,12331454,12331455,11532296,7671956,4854376,4854375,6752294,6752293,10274549,12342297,8338317,8338318,6074047,6074053,9272874,9272907,13545184,18981865,24266901,254850310 Dl.O(d2) = 271880717 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11020443, s2 = 11200782, dlinesl.size( ) = 22 s1 = 15310665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15310665, s2 = 11399072, int(edited[s2]) = 0 s1 = 15310665, s2 = 11399072, d1 = 31, d2 = 39 Dl.O(d1) = 92508062,92508056,92508055,92508054,92508053,106819876,121079858,134882198 Dl.O(d2) = 121171118,121171119,134979657,148101673,160344763,160344760,160344761,171547217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15310665, s2 = 11399072, dlinesl.size( ) = 2 s1 = 15310665, s2 = 11399072, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15310665, Dl.E( ) = 48, 3e-05 seconds used appending s1 = 10991567, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991567, s2 = 14011180, int(edited[s2]) = 0 s1 = 10991567, s2 = 14011180, d1 = 43, d2 = 69 Dl.O(d1) = 254621451,12749902,256056623,40637029 Dl.O(d2) = 239351329,266897719,266948051,241381176,241799239,241381179,241381181,240930238,240443407,266833792,239351335,266897721,240443392,240443393,266994931,240443373 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991567, s2 = 14011180, dlinesl.size( ) = 34 s1 = 14332500, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12892322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16295566, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14332602, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11256767, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11256767, s2 = 10936576, int(edited[s2]) = 0 s1 = 11256767, s2 = 10936576, d1 = 9, d2 = 38 Dl.O(d1) = 260752825 Dl.O(d2) = 257714852,257758470,58560263,58560262,71292312,84866581,258326794,71292314,71292313,257714850,47171255,37265186,256068584,41989798,52329782,64180550,257714850,58560265,71292313,257714850,47171255,37265186,256068584,41989798,52329782,64180551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11175195, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12892936, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12892946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400827, s2 = 8678085, int(edited[s2]) = 0 s1 = 11400827, s2 = 8678085, d1 = 36, d2 = 58 Dl.O(d1) = 165528632 Dl.O(d2) = 154227083,165983470,176626494,165983459,165983458,165983450,154227069,141566298,128210249,128210250,141566299,154227071,141566306,141566305,154227083,165983470,176626494,165983459,165983458,165983450,154227069,141566298,141566297,154227067,165983445,176626480,186044057,186044078,176626511,176626512,263569887,176626504,165983468,165983469,262744155,165983467,263178913,263922529,263569883,176626481,263569881,194253874,273726439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400827, s2 = 8678085, dlinesl.size( ) = 24 s1 = 11443973, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443973, s2 = 11249692, int(edited[s2]) = 0 s1 = 11443973, s2 = 11249692, d1 = 41, d2 = 4 Dl.O(d1) = 196898570,264862223,200310974,193140856 Dl.O(d2) = 113937375,259386579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443973, s2 = 11249692, dlinesl.size( ) = 32 s1 = 12893272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14332698, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10712795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12835923, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14312868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10209442, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10209442, s2 = 1112170, int(edited[s2]) = 0 s1 = 10209442, s2 = 1112170, d1 = 60, d2 = 0 Dl.O(d1) = 263497284,262173677,272834565,139880226,272181200,84724470 Dl.O(d2) = 28650149 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158367, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11206689, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11259397, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11259397, s2 = 1083957, int(edited[s2]) = 0 s1 = 11259397, s2 = 1083957, d1 = 21, d2 = 3 Dl.O(d1) = 104338782 Dl.O(d2) = 28119207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11259397, s2 = 1083957, dlinesl.size( ) = 36 s1 = 12836575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11101827, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11101827, s2 = 6740285, int(edited[s2]) = 0 s1 = 11101827, s2 = 6740285, d1 = 51, d2 = 53 Dl.O(d1) = 255797278,19221153,268618667,21623107,25959546,254913056,28166518,22721785,22721784,24156414,30277040,28897078,28897077,255368858 Dl.O(d2) = 257922889,44625678,35242250,32401482,32401481,41225492,33273661,25513131,25513130,255264439,13471423,18902967,25513140 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11101827, s2 = 6740285, dlinesl.size( ) = 62 s1 = 11369011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369011, s2 = 8050031, int(edited[s2]) = 0 s1 = 11369011, s2 = 8050031, d1 = 32, d2 = 43 Dl.O(d1) = 260882803 Dl.O(d2) = 25584815,255269729,254655163,752692,752691,1319440,752668,427510,427511,752670,1319442,2275296,1319419,1319420,2275298,3798718,3798945,2275453,2275452,3798944,6071496,3798791,2275340,2275341,3798793,6071499,6071582,3799806,3799807,6071504,9269323,9268936,6071201,3798573,254205771,1319364,752630,427486,427487,752622,1319369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369011, s2 = 8050031, dlinesl.size( ) = 44 s1 = 11563043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11563043, s2 = 11350938, int(edited[s2]) = 0 s1 = 11563043, s2 = 11350938, d1 = 9, d2 = 22 Dl.O(d1) = 274260742,223229209 Dl.O(d2) = 227440052,229153965,274615115,232016863,230667820,229153971,265153922,223229209,220625383,217564572,263826128 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11563043, s2 = 11350938, dlinesl.size( ) = 26 s1 = 13759451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11164883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11164883, s2 = 11359784, int(edited[s2]) = 0 s1 = 11164883, s2 = 11359784, d1 = 23, d2 = 25 Dl.O(d1) = 259864751 Dl.O(d2) = 256269582,14930409,14930410,20829007,271750147 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11164883, s2 = 11359784, dlinesl.size( ) = 20 s1 = 11154991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11154991, s2 = 11367022, int(edited[s2]) = 0 s1 = 11154991, s2 = 11367022, d1 = 33, d2 = 34 Dl.O(d1) = 49839476,39815872,39815873,49839479,60357425,73095762,258244862,259491710 Dl.O(d2) = 259866213,258621223,57675161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11154991, s2 = 11367022, dlinesl.size( ) = 24 s1 = 12894436, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11227311, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11227311, s2 = 2354213, int(edited[s2]) = 0 s1 = 11227311, s2 = 2354213, d1 = 12, d2 = 18 Dl.O(d1) = 76443816,76443817,90273922,104424948,118607784,132446244,145689920 Dl.O(d2) = 49551308,52076560,52076558,63894836,54292567,44251297,34891979,26831147,19962862,14293397,9819887,6451459,6451458,9819898,14294824,19965336,26835120,34897718,30977494,30977497,39626452,49521332,49521333,60900528,49489992,49489990,258369230,63709711,63709710,63709711,51902924,41603072,268287130,25016896,18487153,13133898,8951113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11227311, s2 = 2354213, dlinesl.size( ) = 2 s1 = 11227311, s2 = 2354213, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11227311, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 13210974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13210974, s2 = 7871294, int(edited[s2]) = 0 s1 = 13210974, s2 = 7871294, d1 = 39, d2 = 44 Dl.O(d1) = 4105833,6554026,9972329,11355505,16316958,21600648,15573321,10772487,10772486,15573319,21600645,22472162,28518494,28518495,267912462,22483810,254761228,7541217,4770130,2875580,2875581,4770135,7541227,11349176,16303685,11343930,7538471,4768842,2874949,2874948,4768841,7538469,11343922,254233070,11371631,16343232,22022785,29353925,28303992,21094975,15152476,10449986,6888811,6888812,10449989,10449976,10449975,15152457,16095349,20304007,27233121,28304057,29577105,29577945,22230384,21095136,15152589,255379933,28304179,36800549,46685109,47841619,47841971,37921542,29354205,254741592,19351927,19351925,25090057,31021091,27233867,27233866,35356527,28300533,28300532,36797822,35356131,35356132,38664253,255894632,22767210,16553360,16553361,22767211,30155509,29870100,22510800,16337028,16337029,22510802,29870104,29867433,22507520,22507521,22793463,25284250,18711307,17088792,12001277,12001276,17088789,258646855 Dl.O(d2) = 11680188,7788521,4938040,4938041,7788525,11680195,14348666,14348667,16283756,22088849,22088850,16729518,11686913,11686912,11842661,7914471,5031197,3045596,1773781,1011064,569872,254174515,3045598,5031202,7914477,7788162,7788163,7797172,4944475,4944473,254171698,16733827,16603054,16603053,16717991,11676114,11676113,16667659,11633468,11633467,11634170,11095118,11095120,15982119,16667804,16667806,15982006,15981994,11095017,8047069,5137073,5137072,8047059,11633415,11676541,11676542,16667783,16667784,22898188,30296737,38882425,39244532,38953099,30366797,23227238,22897819,22897818,30296494,30297344,38882701,48804565,39250877,30655071,30655072,23351844,23351845,29419046,22088497,22088496,20848777,20848776,254377122,23256535,23256538,29419090,22969256,22954570,22954569,22954618,16717974,16717971,22954612,17072574,11984306,11984307,17072575,254565024,23256469,16993258,11907668,11907667,254176322,17798769,12599226,8550174,5548789,5548790,8550176,12599230,15669768,11867341,7931706,5042490,5042491,7931712,11867348,11995521,11995522,12017137,15379856,10628146,10628147,15379857,15177642,11921734,7975956,5075599,5075598,7975951,11921727,12011024,8068862,8025211,8021258,8021261,11975186,8027273,5116391,5116395,5116438,3107705,3107704,5116451,3112760,3112759,1819018,1819015,3112770,5073452,3076404,3076402,5073443,5234007,5158539,5158540,8002034,5154634,5154633,5136188,5136185,5067105,5067108,5123121,5123125,8033604,7979205,7979203,5090359,3089100,3052491,3052490,3138832,3138833,5155054,5074148,3076895,3076892,5074137,5049063,3058979,1783135,1783132,3058970,5049039,5070435,7968920,8158760,5229521,5172371,3154068,1845601,1845602,3154085,5123149,7931043,7988867,5140419,5140424,8018667,8040146,7522397,5045375,3055863,3055866,5045384,7523362,11327184,11327187,12133931,15570924,11907683,11907682,12000849,8054290,267794320,10772317,10772318,15573130,10772687,10772688,15573442,19896723,14253153,9796689,9796691,14253155,11325949,10844296,7168822,254228646,11974014,8077271,7168819,4515034,4515033,7168816,7961500,7961501,10844201,15665189,13437864,9187293,9187292,13437861,17026450,17008019,254253252,11950354,11950353,8076996,5172052,3153895,1845492,1053152,592220,330184,181861,181859,330175,592167,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7989853,7989854,11938390,17023405,23266290,27231275,20302018,14569414,10025594,10025595,14569417,20302028,22167848,16044780,11140700,7389402,4668223,2812310,1631446,1631445,2812305,4128152,6589182,10025655,14569494,20302115,16045308,16045310,17463187,12311225,11140705,11140706,10024638,6588564,6588563,10024270,14567780,14569662,10025774,10025773,10776332,10777746,7121267,4483704,2693930,1560679,1560681,2693937,4483714,7121001,10777357,15579766,15579765,21608434,20301450,14568874,10025177,10025178,14568877,20301455,256763889,28888190,21612058,15582847,15582846,21608385,28745371,28745369,28882920,28882922,37277863,28745295,21487116,15482658,15482654,21487110,28745284,28285418,21079542,15141507,10443049,254490899,2585155,1490030,1490031,2585157,4321655,2585211,2585212,4321729,254719175,10443133,6884480,4321698,4321697,254719161,15141637,21079698,28285601 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13210974, s2 = 7871294, dlinesl.size( ) = 34 s1 = 14333102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333102, s2 = 11450542, int(edited[s2]) = 0 s1 = 14333102, s2 = 11450542, d1 = 25, d2 = 103 Dl.O(d1) = 216025302,216025303 Dl.O(d2) = 255833144,38546528,38546529,47019828,47019827,58391166,71108010,72587558,72587559,86185254,259305214,86185254,259305212,84671236,84671237,258678374,112587920,112587921,98594535,258678374,112587920,258054066,84671235,98594532,112587920,258054066,71108009,71108010,263855743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333102, s2 = 11450542, dlinesl.size( ) = 62 s1 = 11463987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14333137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333137, s2 = 14858767, int(edited[s2]) = 0 s1 = 14333137, s2 = 14858767, d1 = 11, d2 = 20 Dl.O(d1) = 26995831,21418159,21418160,28663875,37184725,47079891,58457964,71180132,84748945,98676578,98676579,112671197 Dl.O(d2) = 260117397,87848021,74243656,61465270,49988041,39972289,31298209,23812422,17478527,12323229,8323978,5371504,3302266,1942251,1109456,622627,346034,254105785,1109461,745042,745041,1305468,2250059,3303220,5372390,6425937,4031485,2415915,1398455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333137, s2 = 14858767, dlinesl.size( ) = 2 s1 = 14333137, s2 = 14858767, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14333137, Dl.E( ) = 26, 6.91e-06 seconds used appending s1 = 12839461, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11003153, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11353883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11353883, s2 = 11483032, int(edited[s2]) = 0 s1 = 11353883, s2 = 11483032, d1 = 26, d2 = 24 Dl.O(d1) = 260073120,184847503,261793050,206408400,206408399,211413458 Dl.O(d2) = 221739160,224188052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11353883, s2 = 11483032, dlinesl.size( ) = 8 s1 = 11908862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11908862, s2 = 11484892, int(edited[s2]) = 0 s1 = 11908862, s2 = 11484892, d1 = 3, d2 = 1 Dl.O(d1) = 4418069,7024513,10640297,15395545,21377246,26394511,19660207,15053483,15053482,20963108,15867565,15867567,16690573,16690572,14086009,9688869,9688868,14086003,19651901,19651902,14229138,9781769,9781770,14229145,19860636,16658626,16658625,14229319,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,12030202,17119155,17119156,19819836,14197263,9759569,9759567,14197258,13082882,13082883,18419078,14229179,14229181,19860691,26390148,26390146,34266786,26394426,19660135,19660137,19833093,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,11837030,12558098,8514207,5512660,3399928,2004467,1145791,642733,356745,356744,642730,1145784,2004452,3399895,5512590,254363790,3162345,1851208,1851209,3162348,5183299,8090458,12034558,17124907,13297243,13297244,18490262,13136335,8952935,8952934,13136332,11787721,11787724,16569279,16569282,16916181,17121561,17121564,20843362,23338211,28008068,28008139,28008140,30085058,24176156,17808086,17808085,24176151,29988271,38557964,48470759,59861863,72599529,86196763,100159314,270406438,259545870 Dl.O(d2) = 185962513,262374562,263268194,207150729,262374560,194182976,265001153,222135262,265056066,207217837,273688702,186062389,273082284,166004427,154251227,154251228,154251255,163352830,154251280,141594721 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11908862, s2 = 11484892, dlinesl.size( ) = 2 s1 = 11908862, s2 = 11484892, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11908862, Dl.E( ) = 6, 3.81e-06 seconds used appending s1 = 14333322, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333322, s2 = 4934045, int(edited[s2]) = 0 s1 = 14333322, s2 = 4934045, d1 = 24, d2 = 22 Dl.O(d1) = 255314175,26113654,33950142,33950143,33950096,33950097,33950122,26113635,19420651,19420650,26113633,26651665,19838144,19838145,26651604,26651602,26651601,34642717,43915880,54658376,54658377,43915892,34642728,34642727,256890098,66915011,80341386,66915015,54658392,43915893,43915894,54658393,66915017,66915051,66915050,259763841,122948039,136778160,271926480,156934105,156901195,144491270,131256596,131256595,144491268,144491274,131256599,131256600,144491276,258318412,135208716,148377891,140856598,140856596,260186586,134995848,134995836,121185305,106917218,92598054,78550497,65260368,65260367,65260366,256933870,92598049,86048597,256488938,86048593,72449842,72449839,59713060,59713061,72449840,86048590,100011955,114039318,121358024,121358023,107061148,92721829,92721830,92946411,78839237,65506870,65506869,78839230,92946400,107351856,121733715,135678008,135678014,148924876,148377901,135208731,135208732,147015441,133765509,126994284,121733722,121733721,118237464,104077328,269917242,91428601,77497276,64332814,64332813,75563325,62624525,51001741,51001740,62624512,269920613,103414222,115892984,101847973,101847937,101847936,115892958,101847952,87875299,74273231,61496340,50018245,39999990,39999991,257649577,74273224,61496336,61496335,50018270,40000020,31322317,31322287,268255303,12334302,255174287,23831842,25180167,32889480,41812435,52128363,63949356,258373308,105130760,119327110 Dl.O(d2) = 217489432,217489433,217489438,217489436,213804818,213804816,213804815,217489433,213804820,213804819,217489435,213804818,209314214,203839214,197280555,264352187,209314217,209314216,209314217,203839215,197280557,197280556,197280557,189591854,180694089,170562507,159224385,146850591,133592561,119717756,105478374,259018675,64189639,52339586,42000525,33057089,269438772,9121127,13348409,18749129,21954359,29278613,23204831,23204832,25328356,25328355,255215882,18749161,13348431,9121140,9121141,13348433,17909505,12688104,12688103,17909503,24291249,31805935,40501096,31807881,256556591,33056775,33056773,25328336,24292972,17910919,17910918,24292966,28331162,28331163,36827182,28331157,21119991,21119992,23825306,23825304,21120017,15172618,254720263,4329760,2590267,2590268,4329765,6897578,10464133,13348300,9121074,9121075,13348304,18748973,25328147,33056790,42000194,46645637,36759882,28264173,21061689,15128606,10434621,10434622,15128610,21061700,28264193,28264181,255379784,31026920,23568776,23568777,24288262,24288247,21431212,21431213,17906915,12685786,8616755,8616753,12685781,17906904,24288314,24647126,24647127,28970500,37142663,28629157,21390693,21390694,28629160,32742541,25052243,23422893,22416444,22416446,28347146,31320796,25585440,25585439,29264094,31313030,25574988,23568668,23568667,256499105,42324268,42773177,43011856,39242391,36556092,36556091,46419309,46645649,46645648,40497687,35106652,27020961,27020960,31802655,31660763,24150228,17783131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333322, s2 = 4934045, dlinesl.size( ) = 2 s1 = 14333322, s2 = 4934045, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14333322, Dl.E( ) = 26, 1.91e-05 seconds used appending s1 = 11170215, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15304732, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11363139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11363139, s2 = 6164439, int(edited[s2]) = 0 s1 = 11363139, s2 = 6164439, d1 = 69, d2 = 56 Dl.O(d1) = 143204948,143204949,155757338,167389978,177884679,187155328,195225439,273890263,264569154 Dl.O(d2) = 267330513,244101887,243858952,274946307,243015439,242694847,267141940,241150621 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11363139, s2 = 6164439, dlinesl.size( ) = 2 s1 = 11363139, s2 = 6164439, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11363139, Dl.E( ) = 80, 3.81e-05 seconds used appending s1 = 12896660, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15285548, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15285548, s2 = 11186742, int(edited[s2]) = 0 s1 = 15285548, s2 = 11186742, d1 = 19, d2 = 20 Dl.O(d1) = 273881418,206729504,200732654 Dl.O(d2) = 127264233,257607852,85464370,85464369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15285548, s2 = 11186742, dlinesl.size( ) = 2 s1 = 15285548, s2 = 11186742, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15285548, Dl.E( ) = 28, 5.96e-06 seconds used appending s1 = 11412021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11412021, s2 = 11511690, int(edited[s2]) = 0 s1 = 11412021, s2 = 11511690, d1 = 3, d2 = 21 Dl.O(d1) = 182521410 Dl.O(d2) = 230837605,229351704,227676456,274387345,218087107,264702240 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11412021, s2 = 11511690, dlinesl.size( ) = 36 s1 = 12896738, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14333367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333367, s2 = 11513874, int(edited[s2]) = 0 s1 = 14333367, s2 = 11513874, d1 = 10, d2 = 4 Dl.O(d1) = 216559699,216456212,216456211,219713531,222464309,219804639,219804636,216559687,212646549,212646550,216559689,216559702,212646556,207859621,202051913,202051912,207859619,212646552,216559695,219804637,265244599,224894678,224894679,264624536,219713529,216559696,216559698,219804641,216559694,216559695,219804637,265244599,224894678,224894679,264624536,222464307 Dl.O(d2) = 224894680,222543051,222543052,265289928,265244601,216559705,212646559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333367, s2 = 11513874, dlinesl.size( ) = 8 s1 = 11540751, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11508331, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508331, s2 = 13558727, int(edited[s2]) = 0 s1 = 11508331, s2 = 13558727, d1 = 43, d2 = 37 Dl.O(d1) = 220326304,265249498,227262306,226115514,264819320,273387508,184080855,174427411,272606270 Dl.O(d2) = 158224883,145854918,132635112,118816386,118816387,272350213,169601894,260727106,132635113,132635114,145854920,261842276,264819322,192535663,184080856,174427411,260727104,139003077,271755075,256530310,20935691,15027591,10355409,10355408,15027584,20935679,28112441,36584926,46450647,53253298,42800660,42800661,37716393,29155736,21847009,15776538,10928464,7229730,267969177,255430655,29155740,30714209,23953779,23953780,22955689,16719380,11677647,11677648,16719386,22955707,22955914,20978892,20978893,23962946,17613668,17613669,23962951,31457742,256529778,26152515,26152514,23954615,17607961,12428863,8400276,8400273,12428851,17607942,23954577,31446847,40126609,41890209,33284622,33284621,31447768,31447767,30714150,30714149,31447502,30714339,23297423,17037321,11951161,7999975,5092671,5092670,7999969,11951146,255528567,30714234,39311890,38822787,38822789,47121991,47121990,40126111,40126110,256024106,23297378,23297377,30714282,39312217,42294504,33314139,33314138,42294502,48533063,38617873,30043872,30043871,38617872,44548885,35171202,27082833,20184719,14481729,14481730,20184722,16472874,16472873,22668403,30043878,38617883,48533074,40033407,31353362,31353361,40033401,50053321,61532505,64581456,52680953,256024384,52221559,256024386,259515420,258269116,104635897,270487073,51754892,256606897,13089888,18428518,24942124,24942709,18428980,13090215,8920353,5821344,254635471,13090217,18428983,24942714,32606011,32606012,24942796,18429045,13090273,13090272,12040064,8094264,8094263,12040063,17132479,13090254,13090016,13090015,13090246,13090247,18428806,13090162,8920319,8920320,13090165,18428911,18429010,17132466,12040053,8094255,5185657,3163672,1851955,1851954,3163670,5185653,5821322,3631557,2169089,1255489,1255491,2169092,3631565,5821332,8920329,13089917,18428559,24942167,32605806,24942509,18428838,13090123,13090121,9656494,9656493,255304479,17132455,17132456,14043942,9656513,9656514,14043945,19599918,14043924,14043927,19599920,18428567,18428566,24942177,32605821,32605933,32605932,24942280,24942281,32605935,32606458,26327121,19599943,14043940,14043939,18428570,24942183,32605828,41484705,41484721,32606023,256606913,32605988,41484816,269056053,34200275,34200274,41485091,41485090,269056051,32605977,32605976,34200295,41484818,41484817,41484695,41484694,41485047,41485046,51755188,41485126,32606282,32606285,24942609,24942608,32606330,41485176,49317356,49317355,51755193,63533753,51755040,51755041,62485965,50886645,40770684,32605759,32605760,41484630,41485147,32606301,32606302,257160317,255634355,18428859,24942535,32606217,33644248,25840916,25840915,33644246,42673513,50889189,40773257,40773256,50889185,62488452,75406645,89153670,76613880,63533969,63533968,63533921,63533920,71067061,71067059,63533924,63533923,63533927,51755186,51755187,63533929,76613863,74855527,74855528,63533967,63533966,64356683,63533894,51755156,51755157,63533897,75412256,62493391,50893545,40777306,40777304,50893543,62493388,75412254,76613850,258047700,58338445,58338446,62056432,50563670,40527121,31829827,24312049,17926861,17926862,24312050,31829829,40527125,50563681,62056441,74855522,88492737,99326004,92748518,78685219,65380636,65380633,78685218,75412259,62493392,62056434,62056433,74855510,258348081,63115507,76120993,89927034,102501712,88492732,74855516,74855517,76120998,76120997,76121013,63115525,63115526,75412268,62493399,50893550,40777312,32021018,256569473,50893552,62493404,71792984,75412247,89160143,89926955,89926954,104056702,104056701,107386081,94349928,80293254,80293255,76120941,76120940,89926974,99123062,85200452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508331, s2 = 13558727, dlinesl.size( ) = 8 s1 = 11197633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10374384, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11601231, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601231, s2 = 13756892, int(edited[s2]) = 0 s1 = 11601231, s2 = 13756892, d1 = 44, d2 = 51 Dl.O(d1) = 274900767,243536249,243251505,243251504,243251509,242946736,267125796 Dl.O(d2) = 262252540,200227493,262729524,206294352,261738108,184669775,175080614,175080613,184669774,261190936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601231, s2 = 13756892, dlinesl.size( ) = 14 s1 = 12897546, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11574981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11574981, s2 = 11112916, int(edited[s2]) = 0 s1 = 11574981, s2 = 11112916, d1 = 14, d2 = 0 Dl.O(d1) = 234615903 Dl.O(d2) = 70408862,70408863,83935090,70408862,70408863,70408864,57714673,46365217,268599455 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11574981, s2 = 11112916, dlinesl.size( ) = 22 s1 = 11616687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11616687, s2 = 11462692, int(edited[s2]) = 0 s1 = 11616687, s2 = 11462692, d1 = 22, d2 = 14 Dl.O(d1) = 267112332 Dl.O(d2) = 264681130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11616687, s2 = 11462692, dlinesl.size( ) = 24 s1 = 8920383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8920383, s2 = 13852244, int(edited[s2]) = 0 s1 = 8920383, s2 = 13852244, d1 = 8, d2 = 10 Dl.O(d1) = 233316536,232109465,230770027,230770028,232109468,233316543,234409926,266476757,237142602,237897942,237142614,236313248,235405256,234409934,266068952,232109471,266288021,235405258,236313235,236313234,266705319,274785889 Dl.O(d2) = 230770031,230770030,232109471,266288021,235405258,236313235,236313234,266705319,274785889,236313256,235405263,235405264,236313258,237142620,237142607,236313242,235405253,235405254,236313243,237142610,237142582,237142583,237142602,237897942,237897944,237142611,236313247,235405256,234409934,234409933,234409930,233316545,233316544,234409928,235405254,236313243,237142609,237897934,237142584,236313236,236313237,237142601,237142617,237142592,266389026,234409921,234409920,233316546,232109470,230770029,229267938,227568634,225626079,223392630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8920383, s2 = 13852244, dlinesl.size( ) = 2 s1 = 8920383, s2 = 13852244, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 8920383, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 12897832, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15214960, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14333524, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333524, s2 = 12338085, int(edited[s2]) = 0 s1 = 14333524, s2 = 12338085, d1 = 103, d2 = 93 Dl.O(d1) = 229497815,230968249,232286398,233476626,234557566,274609078,237256001,266457778,238678147,238678146,238678147,274676298,237255991,238000664,238000668,237255998 Dl.O(d2) = 247688739,247668444,247647423,247626281,247605803,247586149,247567387,247549234,247530814,247511607,247491592,247470476,247448345,247424783,247400596,247400595,247376048,247350463,267646070,247293605,247261564,267631048,247114211,247069051,247019336,246965925,246908950,246849308,246787398,246723083,246655306,246583219,246506601,246426030,246340919,246250544,246154208,246053544,245946644,245833007,245712310,245582863 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333524, s2 = 12338085, dlinesl.size( ) = 2 s1 = 14333524, s2 = 12338085, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14333524, Dl.E( ) = 104, 4.29e-05 seconds used appending s1 = 12898022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12898022, s2 = 7249093, int(edited[s2]) = 0 s1 = 12898022, s2 = 7249093, d1 = 36, d2 = 35 Dl.O(d1) = 238613767,238298750,237585865,236801076,235938611,266525169,237585864,266742795,238947358,266676498,237585864,238298749 Dl.O(d2) = 201549708,207430837,264536240,219527669,219527672,219527674,274002678,207430836,207430837,264536240,216242909,216242910,219527670,216242914,212280494,264536240,216242909,216242910,219527671,219527673,274002678,264536238,219527672,222302321 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12898022, s2 = 7249093, dlinesl.size( ) = 2 s1 = 12898022, s2 = 7249093, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12898022, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 12898026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597763, s2 = 11540650, int(edited[s2]) = 0 s1 = 11597763, s2 = 11540650, d1 = 28, d2 = 26 Dl.O(d1) = 266737296,236384215,274685703,233411149,234495629,235483239,266640583,236384216,274685703,232216889 Dl.O(d2) = 232216886,266001926,227752268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597763, s2 = 11540650, dlinesl.size( ) = 2 s1 = 11597763, s2 = 11540650, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11597763, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 14314458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11614269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11614269, s2 = 14103872, int(edited[s2]) = 0 s1 = 11614269, s2 = 14103872, d1 = 100, d2 = 132 Dl.O(d1) = 267169019,274946551 Dl.O(d2) = 107637255,93233432,79116450,65760135 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11614269, s2 = 14103872, dlinesl.size( ) = 98 s1 = 11655201, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655201, s2 = 11600696, int(edited[s2]) = 0 s1 = 11655201, s2 = 11600696, d1 = 21, d2 = 14 Dl.O(d1) = 246788708,246788709,246724544,246724536,246656940,267578357 Dl.O(d2) = 267358880,267292136,242821546,242484930,242123411,241733066,266987096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655201, s2 = 11600696, dlinesl.size( ) = 8 s1 = 16153555, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11624083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11624083, s2 = 11565916, int(edited[s2]) = 0 s1 = 11624083, s2 = 11565916, d1 = 82, d2 = 0 Dl.O(d1) = 267378299,267414595,245442767 Dl.O(d2) = 232895964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11624083, s2 = 11565916, dlinesl.size( ) = 52 s1 = 16360903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16360903, s2 = 15276194, int(edited[s2]) = 0 s1 = 16360903, s2 = 15276194, d1 = 28, d2 = 40 Dl.O(d1) = 275010971,245638937,245764637 Dl.O(d2) = 267573943,246694965,267567222,267559168,246390093,275044401,246210122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16360903, s2 = 15276194, dlinesl.size( ) = 20 s1 = 11638373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638373, s2 = 12973821, int(edited[s2]) = 0 s1 = 11638373, s2 = 12973821, d1 = 43, d2 = 6 Dl.O(d1) = 246703097,275056437 Dl.O(d2) = 245388498,245237300,267398490,244903294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638373, s2 = 12973821, dlinesl.size( ) = 2 s1 = 11638373, s2 = 12973821, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11638373, Dl.E( ) = 92, 2.69e-05 seconds used appending s1 = 15305077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263907, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12675977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12675977, s2 = 11489032, int(edited[s2]) = 0 s1 = 12675977, s2 = 11489032, d1 = 3, d2 = 7 Dl.O(d1) = 112914520,112914519 Dl.O(d2) = 140116192,152809652,164647023,175407681,184955210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12675977, s2 = 11489032, dlinesl.size( ) = 2 s1 = 12675977, s2 = 11489032, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12675977, Dl.E( ) = 8, 3.1e-06 seconds used appending s1 = 11618751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14031301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12844237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12844237, s2 = 14333711, int(edited[s2]) = 0 s1 = 12844237, s2 = 14333711, d1 = 1, d2 = 1 Dl.O(d1) = 133555141,271806448,91218252,91218251,105440863,271981193,146813942,159189071,170530305,261960081,133555158,119679775,105440879,91218261,91218262,105440881,260855337,119679776,119679777,133555160,133555161,260259325,91218266,77297807,77297808,91218268,105440884,119679780,133555163,146813940,133555138,119679752,105440859,105440860,97973431,84099681,70563445,59638039,48250804,38340093,38340092,38340094,29768881,22405754,16243151,11292674,7497606,7497607,11292676,16243156,22405766,29768902,38340114,33338723,33338724,37001731,37001732,36439470,27980363,20816451,20816450,21285483,21285484,28504076,255486525,11471640,11471641,16464414,22657856,30032488,38606333,33852555,33852556,42897536,49180394,39254669,39254670,33329745,25569724,18959949,13523941,255268397,24277341,17896964,12677267,12677265,17896960,24277337,26912316,34993705,26912317,26259286,19540233,13991534,9611780,9611781,10868754,10868753,15700328,21754000,23097976,16842170,11778163,9713635,6390503,6390501,9713629,13837850,9713626,9713629,13837850,9713654,9713653,10612351,10612348,15360485,13420927,13420924,18836963,25431168,33173799,256223414,42130152,42130151,46623177,46623176,57999230,64355300,77520659,91450310,258956208,260794932,170752627,180891245,170752626,161264644,148959723,135720969,135720968,145127842,131870840,118046324,258307648,257114524,256056810,41200324,256320906 Dl.O(d2) = 133555141,271806448,91218252,91218251,105440863,271981193,146813942,159189071,170530305,261960081,133555158,119679775,105440879,91218261,91218262,105440881,260855337,119679776,119679777,133555160,133555161,260259325,91218266,77297807,77297808,91218268,105440884,119679780,133555163,146813940,133555138,119679752,105440859,105440860,97973431,84099681,70563445,59638039,48250804,38340093,38340092,38340094,29768881,22405754,16243151,11292674,7497606,7497607,11292676,16243156,22405766,29768902,38340114,33338723,33338724,37001731,37001732,36439470,27980363,20816451,20816450,21285483,21285484,28504076,255486525,11471640,11471641,16464414,22657856,30032488,38606333,33852555,33852556,42897536,49180394,39254669,39254670,33329745,25569724,18959949,13523941,255268397,24277341,17896964,12677267,12677265,17896960,24277337,26912316,34993705,26912317,26259286,19540233,13991534,9611780,9611781,10868754,10868753,15700328,21754000,23097976,16842170,11778163,9713635,6390503,6390501,9713629,13837850,9713626,9713629,13837850,9713654,9713653,10612351,10612348,15360485,13420927,13420924,18836963,25431168,33173799,256223414,42130152,42130151,46623177,46623176,57999230,64355300,77520659,91450310,258956208,260794932,170752627,180891245,170752626,161264644,148959723,135720969,135720968,145127842,131870840,118046324,258307648,257114524,256056810,41200324,256320906 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12844237, s2 = 14333711, dlinesl.size( ) = 2 s1 = 12844237, s2 = 14333711, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12844237, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14333712, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11128047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15305140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12844471, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15305157, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338907, s2 = 10203189, int(edited[s2]) = 0 s1 = 11338907, s2 = 10203189, d1 = 16, d2 = 24 Dl.O(d1) = 143110328,262338617,177787439,273888641 Dl.O(d2) = 265375882,264482354,193411560,273108496,85180351,71616040,257762338,29062638,21766767,21766766,29062637,21929288,15842524,15215183,10495514,6920930,4348030,4348032,6920938,10495531,13425862,9179383,6008031,6008030,4348041,4348038,6920954,10495567,11320612,15059673,20969688,16933831,11851705,11851706,12708390,12708387,17935371,15059696,15059694,16051841,11145549,7392622,7392621,7392629,4670445,4670446,7392637,8634777,12709029,12709085,17936464,13180483,13180482,17935361,17935360,24322817,17935734,12708626,8634545,8634544,12708621,8634588,5615201,3488057,3488056,5615198,8634581,11692947,12708745,12709057,12709058,17936423,21174640,17936001,17936000,24323557,17935996,15515023,15515024,12708450,8634454,5615144,3488032,3488030,5615139,8634443,12708428,17935421,17936535,16051806,15515045,10730332,10730334,11145554,12709235,8634859,5615340,5615341,8634865,10500383,8634891,8634892,12709213,8634844,5615333,5615335,5615361,5615360,8634907,12709323,12708654,8634557,8634559,12708660,17935793,24323296,30682794,255780094,16807803,11753387,11753388,16807810,19070242,21527763,21527761,15515066,10730343,10730345,12709099,15226740,15226738,21189590,24324620,31844234,30003215,22633444,22633445,25842697,22634404,16446715,16446716,16446315,11458890,11458891,16446320,21179314,15218854,15218856,20867420,14965368,14965367,20783899,20783905,14896306,10242775,10242778,14896313,11458750,11458751,16446090,22633609,16446282,16446283,22633858,16446293,11458876,11458877,11458989,7621879,4822350,2905982,1685676,958427,540014,540016,958435,1685685,2906001,4822395,7621956,11459111,11458668,11458667,15801734,10948970,10948972,11753340,11753341,15218815,10497906,6922405,4348895,2604644,2604646,4348903,6922418,10497937,15218870,20783980,19188688,19188687,25842592,24323257,21177571,15217531,10497053,6921859,6921860,10497057,15217539,21174967,15218918,12113147,8144604,5217441,5217442,4568468,2747738,1592555,1592556,2747745,4568480,7245832,10948936,15801680,21877136 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338907, s2 = 10203189, dlinesl.size( ) = 20 s1 = 11111391, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14142221, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12899890, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11196565, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196565, s2 = 14302695, int(edited[s2]) = 0 s1 = 11196565, s2 = 14302695, d1 = 23, d2 = 25 Dl.O(d1) = 64206496,52356174,42016993,33072946,268316459,9563919,6275855,6258025,3917670,2345072,1358411,1358413,1341647,1341649,1362521,1362522 Dl.O(d2) = 1359478,2346947,3920696,3929380,254302812,6260939,6260938,254206926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196565, s2 = 14302695, dlinesl.size( ) = 30 s1 = 11191041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11191041, s2 = 15311577, int(edited[s2]) = 0 s1 = 11191041, s2 = 15311577, d1 = 1, d2 = 41 Dl.O(d1) = 74692145 Dl.O(d2) = 265051765,265441057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11191041, s2 = 15311577, dlinesl.size( ) = 16 s1 = 11331811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331811, s2 = 7990859, int(edited[s2]) = 0 s1 = 11331811, s2 = 7990859, d1 = 54, d2 = 84 Dl.O(d1) = 261702193 Dl.O(d2) = 256349997,24233688,24233689,29011922,21724776,21724777,21742295,29033801,37581163,37551495,29005905,22908083,22908084,29005938,29022630,29022632,21743597,15692708,10863630,10863631,15684208,15684211,21731904,15691417,15691416,21731892,21731893,29009433,29009434,37555601,29018530,29018532,29021459,29021460,24230825,17857758,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272,17856274,17855685,17855684,17855664,17855663,24227724,24124932,17762571,12569182,12569178,16675936,11639842,7754584,4911098,4911095,7754572,11639809,16675892,22908053,16932627,16932623,21747541,15695522,15695523,21719595,15675545,15675542,15692409,15692407,21743203,29034865,37571145,29024264,21734540,15685985,15685980,10859324,10859320,15686391,21735138,21742196,21733324,255857925,37569033,256894005,256894935,37551654,256891867 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331811, s2 = 7990859, dlinesl.size( ) = 18 s1 = 12845139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12900022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11674462, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13999148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13999148, s2 = 12345787, int(edited[s2]) = 0 s1 = 13999148, s2 = 12345787, d1 = 20, d2 = 25 Dl.O(d1) = 26326490,19599575,14043741,14043742,19599576,26326493,26326491,19599575,14043741,14043742,19599577,26326495,34199392,43297157,53822095,53823216,43298194,34200154,26326994,19599854,14043883,9656477 Dl.O(d2) = 257859379,65891017,65890319,65890318,65890513,65890514,65890487,53822814,43297747,34199806,34199805,34199856,43297806,43297161,43297157,53822095,53823216,43298194,34200154,26326994,19599854,14043883,9656477,9656475,14043875,19599839,26326966,257264531,65889372,65889487,53821795,256704531,34199236,257264545,43297218,43297217,53822173,258476709,257264659,34199795,26326757,19599708,14043810,14043809,14043835,19599753,26326827,34199919,257264641,43297620,257859329,53822879,43297805,43297806,43297161,43297157,53822095,53823216,43298194,34200154,26326994,19599854,14043883,9656477,9656474,14043873,19599833,26326958,34199681,34199682,43297574,34199927,26326835,19599758,14043836,9656464,9656463,14043830,19599745,26326810,34199877,43297833,53822900,65890575,79253597,93380419,107802307,122207265,260355297,93380103,79253072,65889790,53822079,43297147,43297144,53822075,43298156,34200123,26326978,19599849,14043882,9656477,9656475,14043875,19599839,26326966,26326348,19599493,19599492,26326346,34199172,43296808,34200093,26326948,19599830,19599833,26326958,34199681,34199682,257264639,53822982,53822981,65890622,53822929,53822930,65890623,53823207,53823208,58708897,47319930,37411475,37411474,47319927,53822563,53822565,53822907,53823402,53823401,65891026,65890613,65890614,79253652,79253112,65889848,53822137,53822136,65889845,79253109,65890876,65890456,53822785,43297722,43297721,53822783,53822924,43297847,43297848,43297855,43297856,53822939,65890633,79253425,65890299,53822598,43297589,43297590,53822602,259106501,79254003,259106587,93380021,79253555,79253556,79253673,79253672,65890992,257264733,34200147,26326992,19599854,14043883,14043885,19599860,26327002,34200166,43298220,53823370,65890613,65890614,79253652,79253112,65889848,53822137,43297179,43297178,53822133,65889839,65890054,53822334,43297345,43297344,53822332,65890052,65889467,257264715,26326955,26326958,34199681,34199682,43297574,34199927,26326835,19599758,14043836,9656464,9656463,14043830,19599745,26326810,34199877,43297833,53822900,65890575,79253597,93380419,107802307,122207265,260355297,93380103,79253072,65890615,53822923,43297847,43297848,53822926,53822946,53822947,53822974,53822816,43297747,34199806,34199805,34199856,43297806,43297161,43297157,53822095,53823216,43298194,34200154,26326994,19599854,14043883,9656477,9656475,14043875,19599839,26326966,26326348,26326349,19599533,14043720,9656409,6349727,3984037,3984039,6349738,9656426,14043713,19599519,26326398,34199258,34199541,26326589,19599619,19599618,26326580,26326511,26326512,34199422,43297202,43296939 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13999148, s2 = 12345787, dlinesl.size( ) = 2 s1 = 13999148, s2 = 12345787, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13999148, Dl.E( ) = 26, 8.82e-06 seconds used appending s1 = 11258687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11258687, s2 = 11652436, int(edited[s2]) = 0 s1 = 11258687, s2 = 11652436, d1 = 40, d2 = 69 Dl.O(d1) = 258450472,259708808,131020532,262854849,187691890,195671059 Dl.O(d2) = 228856042,227090591,225068344,225068343,225068326,222741389,220034009,220034008,265311124,216828715,220034013,222741395,265615181,265654980,265768263,230411334,265804478,225068364,265768261,227090598 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11258687, s2 = 11652436, dlinesl.size( ) = 74 s1 = 11495893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495893, s2 = 11132304, int(edited[s2]) = 0 s1 = 11495893, s2 = 11132304, d1 = 38, d2 = 3 Dl.O(d1) = 264071410,263735348,187157597,177887004,167392311 Dl.O(d2) = 115980577,101936160,269518402 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495893, s2 = 11132304, dlinesl.size( ) = 34 s1 = 11529489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529489, s2 = 7952502, int(edited[s2]) = 0 s1 = 11529489, s2 = 7952502, d1 = 89, d2 = 160 Dl.O(d1) = 223790728 Dl.O(d2) = 255937389,16572537,16572536,16572648,11553688,11553690,16394208,16639608,11607403,7727182,4891080,4891079,7727177,11607393,14346966,11427790,7686016,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1698840,967205,544849,544846,967196,1701392,254245589,4799143,4799144,7587331,11416469,11433337,7601513,4808784,2898141,1681600,1681599,2898139,4808781,4869051,4869052,6813885,4803752,4803245,2895035,2895037,2955856,4796811,2955648,2955650,4903757,7598582,4806765,2896984,1681023,956138,956133,1680971,1680969,1681925,956513,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898673,4809653,6813654,4273718,4273717,6813648,4803977,4803978,7594451,11424699,255200224,22578435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529489, s2 = 7952502, dlinesl.size( ) = 78 s1 = 14333830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14333846, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333846, s2 = 2420006, int(edited[s2]) = 0 s1 = 14333846, s2 = 2420006, d1 = 29, d2 = 1 Dl.O(d1) = 260404497,113065714 Dl.O(d2) = 66860463,54602388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333846, s2 = 2420006, dlinesl.size( ) = 32 s1 = 11324101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324101, s2 = 10764198, int(edited[s2]) = 0 s1 = 11324101, s2 = 10764198, d1 = 12, d2 = 10 Dl.O(d1) = 273293943,199251333,205488740,264302264,210649062,205488738,199251332,199251333,205488740,264302264,264579814,204203596,204203595,209616620,214058633,217705126,220748685,265485433,220748683 Dl.O(d2) = 264167170,272719657,181289192,190105214,197716975,264642329,264302262,205488738,199251332,199251333,205488740,264302264,264579814,204203596,204203595,209616620,214058633,217705126,220748685,265485433,220748683,220748682,223339859,225580151,226203089,227528897,227528896,265799411,265485435,220748688,264885489,209616625,209616624,214058639,217705128,217705126,220748685,265485433,220748683,220748682,223339859,225580151,226203089,227528897,227528896,265799411,225580155,265649405,223339869,265357718,209616627,204203598,197716977 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324101, s2 = 10764198, dlinesl.size( ) = 2 s1 = 11324101, s2 = 10764198, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11324101, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 11127525, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11127525, s2 = 14007779, int(edited[s2]) = 0 s1 = 11127525, s2 = 14007779, d1 = 14, d2 = 16 Dl.O(d1) = 254457206,18219520,12922882,8791038,5819416,5819421,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554 Dl.O(d2) = 19129488,19332880,13824838,9481384,9481382,13824833,13383309,13383308 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11127525, s2 = 14007779, dlinesl.size( ) = 2 s1 = 11127525, s2 = 14007779, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11127525, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 15272102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15272102, s2 = 5390880, int(edited[s2]) = 0 s1 = 15272102, s2 = 5390880, d1 = 31, d2 = 44 Dl.O(d1) = 24896729,269053423 Dl.O(d2) = 265044894,264568504,225250216,225250218,227242472,264818938,230519170,264568498,274423360,231886795,230519171,265044888,273890774,222958105,263246688,213390171,213390170,216803490,220015841,217160187,217160186,220298187,273387190,213390142,208788612,203190139,261840556,203190142,196512901,273773459,213390151,208788619,261298044,188714029,260725480,203190149,208788626,213390161,217160212,220298217,222958100,220298226,220015840,216803489,216803488,220015836,217160238,217160237,220298197,217160194,213390146,262818962,220298200,222958083,222958090,263246678,208788616,262347556,217160199,217160185,262347554,203190140,196512900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 12907420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11220907, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11340641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11340641, s2 = 1381328, int(edited[s2]) = 0 s1 = 11340641, s2 = 1381328, d1 = 53, d2 = 65 Dl.O(d1) = 260648772 Dl.O(d2) = 44516149,35139443,255748619,254691839,6539674,9948826,6538714,6538715,4097205,2451091,1417105,806242,456907,456908,806244,1417107,2451095,4097215,6539657,4099955,2452578,1417888,1417889,2452580,4099956 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11340641, s2 = 1381328, dlinesl.size( ) = 34 s1 = 13207806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7880582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880582, s2 = 13207805, int(edited[s2]) = 0 s1 = 7880582, s2 = 13207805, d1 = 24, d2 = 17 Dl.O(d1) = 13748067,9419715,6171988,3861951,2313546,2313550,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583 Dl.O(d2) = 6160614,9403204,13726966,14913831,10254848 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880582, s2 = 13207805, dlinesl.size( ) = 2 s1 = 7880582, s2 = 13207805, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 7880582, Dl.E( ) = 30, 1.72e-05 seconds used appending s1 = 13209126, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10194268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10194268, s2 = 12350074, int(edited[s2]) = 0 s1 = 10194268, s2 = 12350074, d1 = 42, d2 = 47 Dl.O(d1) = 96707045,96707046,97313545,83393771,69854801,62487602,50888428,50888427,45337974,35763288,35763219,27524301,20511468,20511465,20511407,14714564,14631593,10065463,6612463,4141243,2476609,1431260,1431258,1441701,1441703,818834,463039,463042,818850,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011 Dl.O(d2) = 1366489,1366490,2360066,3942418,6294160,6383123,9704397,255719265,255702171,13870644,9515760,6241272,3907210,3907208,6241267,6218048,3891925,3891924,2330530,1350808,1350810,2330536,1382378,1382374,1352886,771693,438362,247333,247335,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441963,779082,1368044,2334292,3897776,6226149,9493465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10194268, s2 = 12350074, dlinesl.size( ) = 2 s1 = 10194268, s2 = 12350074, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10194268, Dl.E( ) = 50, 1.38e-05 seconds used appending s1 = 15074860, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16371975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12908914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14026196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12943872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14109213, s2 = 7773596, int(edited[s2]) = 0 s1 = 14109213, s2 = 7773596, d1 = 2, d2 = 65 Dl.O(d1) = 146943776 Dl.O(d2) = 236426162,274742019 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14109213, s2 = 7773596, dlinesl.size( ) = 50 s1 = 11262863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11262863, s2 = 7203900, int(edited[s2]) = 0 s1 = 11262863, s2 = 7203900, d1 = 0, d2 = 3 Dl.O(d1) = 91727697,258418273 Dl.O(d2) = 263959393 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11262863, s2 = 7203900, dlinesl.size( ) = 2 s1 = 11262863, s2 = 7203900, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11262863, Dl.E( ) = 12, 2.19e-05 seconds used appending s1 = 11642373, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11398951, s2 = 14123128, int(edited[s2]) = 0 s1 = 11398951, s2 = 14123128, d1 = 72, d2 = 69 Dl.O(d1) = 164862788,164862789,153024382 Dl.O(d2) = 127164942,140511826,153194754,165013818,165013817,175746728,185259627,193558916,200672758,206675084,211634473 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11398951, s2 = 14123128, dlinesl.size( ) = 20 s1 = 11529063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14302996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14302996, s2 = 11608586, int(edited[s2]) = 0 s1 = 14302996, s2 = 11608586, d1 = 27, d2 = 187 Dl.O(d1) = 5679781,3532826,2102523,1212725 Dl.O(d2) = 267072900 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14302996, s2 = 11608586, dlinesl.size( ) = 2 s1 = 14302996, s2 = 11608586, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14302996, Dl.E( ) = 280, 7.39e-05 seconds used appending s1 = 15311875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15311875, s2 = 11104216, int(edited[s2]) = 0 s1 = 15311875, s2 = 11104216, d1 = 0, d2 = 19 Dl.O(d1) = 21326584 Dl.O(d2) = 25545740,33307412 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15311875, s2 = 11104216, dlinesl.size( ) = 2 s1 = 15311875, s2 = 11104216, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15311875, Dl.E( ) = 22, 5.96e-06 seconds used appending s1 = 11118701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11118701, s2 = 11154136, int(edited[s2]) = 0 s1 = 11118701, s2 = 11154136, d1 = 59, d2 = 40 Dl.O(d1) = 38820133,38820050,35036347,26956355,20072305,20072307,26956358,22763455,16550459,11535682,11535680,16550455,16550998,22764230,19502039,19189683,13704917,255690369 Dl.O(d2) = 154604579,141960734,128599507,259469308,128599507,114702614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11118701, s2 = 11154136, dlinesl.size( ) = 30 s1 = 14341140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11435537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400235, s2 = 12938443, int(edited[s2]) = 0 s1 = 11400235, s2 = 12938443, d1 = 134, d2 = 126 Dl.O(d1) = 167518417,167518418,177990797,179299541 Dl.O(d2) = 189367950,197082456,203671420,203671422,205054449,203671421,198723818,191251106,191251105,198723816,205054443,198723814,258442556,172644962 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400235, s2 = 12938443, dlinesl.size( ) = 2 s1 = 11400235, s2 = 12938443, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11400235, Dl.E( ) = 166, 6.01e-05 seconds used appending s1 = 11452701, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11520425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379583, s2 = 8783874, int(edited[s2]) = 0 s1 = 11379583, s2 = 8783874, d1 = 29, d2 = 27 Dl.O(d1) = 153612035,273120631 Dl.O(d2) = 273715669,263145085,165392862,153612036,140945181,127595926,259988513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379583, s2 = 8783874, dlinesl.size( ) = 26 s1 = 11145957, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145957, s2 = 11499926, int(edited[s2]) = 0 s1 = 11145957, s2 = 11499926, d1 = 77, d2 = 80 Dl.O(d1) = 59175424,71913135,61994412,254641724,24259263,24259265,21616608,21616609,17783605,17783517,15006646,12586140,11340227,11340231,16298550,18703301,13310084,13310085,18703303,254439408,18712767,23924561,21218702,20338935,14596950,10043985,6601674,4135763,2473939,1430032,813532,461150,461151,813526,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,7451244,254324870,22309054,29661432,38227717,261060365,111847505,260481273,273087512,272882745,259265236,16902776,11828885,11828886,16902781,16902788,23165315,30583103,39180776,42013752,33069404,33069405,42013754,46800313,36922214,36922213,46800303,46800302,39180728,39180729,36922234,28423785,21200589,15235557,15235556,21200588,28423783,36922231,46800331,58167739,58167738,46999101,37113370,37113371,36580108,36580109,46445407,46498695,57854715,59359464,58369453,46999135,46999134,49110232,60513169,256023148,256023146 Dl.O(d2) = 258017630,107605907,121975866,260489836,161405177,149118356,259887998,107605906,107605905,259268894,268956436,255933684,72741898,60006270,48615686,48615685,48102466,38190938,256379670,7435266,7435267,11205613,16130897,19796159,26602527,29878981,30848270,30848271,27211428,27211427,26594216,19788813,14174420,14174419,19788810,26594212,26611614,34596055,256377920,255445724,23800197,17759599,12567184,8522199,8522200,10013104,9152788,9152786,13388665,18795369,25380125,31627062,24121645,17760106,17760105,17424753,12281508,12281504,17424737,20298575,14566725,10023502,6587774,4127288,2468909,1427038,811720,811719,1427036,254318889,6587739,10023427,14566594,15317092,255069950,22284810,24121019,17759700,17759701,14988366,255363805,17033908,17033907,23293241,22064076,22064078,16602708,16602707,14528147,9996799,6570115,6570117,9996805,14528156,20245871,27157494,28848215,23396648,23396647,30824505,23396651,19200708,19200709,25857980,272885554,263589813,264254461,265512055,218366153,214900958,214900959,218366155,221278328,265125536,218366153,264908944,264109502,199301625,191935460,191935461 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14334972, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14334972, s2 = 14349540, int(edited[s2]) = 0 s1 = 14334972, s2 = 14349540, d1 = 28, d2 = 33 Dl.O(d1) = 62770,114684,254091441,684215,254196837,3537791,5686983,8735360,8735357,8735356,255218199,24552392,18115601,18115587,256067727,32133360 Dl.O(d2) = 269310636,41706505,49135244,39208299,30612130,23192423,16925425,11845921,7917283,5033461,254375919,1775391,1012254,570606,570605,1012252,1775386,3047532,5033455,7917276,11775750,7862211,4990248,4990247,7862210,11775749,7918531,7918532,7918533,7577229,4792575,2888881,2888879,3047705,1775486,1775487,3047708,4989956,4989941,3014127,3014128,4989976,7861833,7862222,4990253,3014340,1751013,1750336,995312,995313,1750341,3013364,4988972,7088968,7088969,4991877,3015695,3015694,4991875,4463497,2681586,1553392,883223,883224,1553393,2681587,4463499,4989778,3014002,1750778,995603,267745079,173569,95487,52816,254072331,29739,52825,95751,173640,173638,313964,560747,267768127,254372279,4990783,4990784,4825204,4825207,7626620,11466037,16456465,16840584,11776811,11776810,11784830,7868754,4995023,3017915,254173057,562105,562106,254173059,3017919,4995026,7868761,11784843,16851196,16851787,11785392,7869132,4995278,4995279,7869133,11785393,255516897,30527612,39126039,49056229,257006109,30511883,23096334,23096335,30511885,30523762,29047998,21754539,15700666,15700665,21754534,16848450,11782581,11782582,16848394,16848395,23106368,30523845,30523874,23106387,16848405,11782557,11782556,16848403,268421761,30523880,23106395,16848410,16848412,23106400,23106336,16848375,16848364,16848362,23106324,23106348,16848381,11782545,11782548,16848385,23106354,23106453,30523931,30523786,23106300,16848347,16848348,23106304,30523791,39121996,49052000,49052018,254965040,51581411,268168878,41360089,49055323,39125210,30526919,30526918,39125208,39123499,30525286,30525285,30523851,30523852,30525252,39123401,39123400,49052053,39125350,30527078,30527079,34646299,34646300,32449207,32449208,41288970,32513157,32513156,30517724,30443552,23036161,16792003,11741008,7838882,4975953,3005742,3005743,4975957,7838889,11741021,16792017,23036168,16792011,16792010,255131219,7861357,4989551,3013803,1750628,995503,995504,1750630,3013805,4989522,3159964,1849836,1849837,2681560,1553372,1553371,2681558,3016056,254172923,996857,997129,997128,1752799,3016576,3017221,3017222,4994032,7088933,255040567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14334972, s2 = 14349540, dlinesl.size( ) = 22 s1 = 15306723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15306723, s2 = 14000865, int(edited[s2]) = 0 s1 = 15306723, s2 = 14000865, d1 = 50, d2 = 93 Dl.O(d1) = 260763867 Dl.O(d2) = 239371340,239371341,239937314,266949815,240946685,266996601,241396373,241396372,241396381,241396382,241396419,240946727,266845486,239937285,266786654,240946670,241396352,240946665,240946664,241396349,241812804,241812824,242197314,241812809,266996608,240946725,240946724,267040239,267118739,241812831,266996605,240460951,240460952,240460958,266949809,241396384,241396415,241396426,241396391,240946698,240946699,241396392,241812841,241812835,241812834,241812852,241812806,266996606,267040239,267118739,241812831,266996605,240460951,240460952,240460958,266949809,241396384,241396415,241396426,241396391,240946698,240946699,267040237,241396426,241396391,241396390,267058542 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11272509, s2 = 3961699, int(edited[s2]) = 0 s1 = 11272509, s2 = 3961699, d1 = 66, d2 = 34 Dl.O(d1) = 98487781,98487782,112479374,261093623,262264900,258292078,257099782,28471995,21251917,21251918,17485633,12328775,8328576,8328578,12328777,17485636 Dl.O(d2) = 262774880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11272509, s2 = 3961699, dlinesl.size( ) = 54 s1 = 8611583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8611583, s2 = 15931416, int(edited[s2]) = 0 s1 = 8611583, s2 = 15931416, d1 = 13, d2 = 10 Dl.O(d1) = 98364300,98364299,98364296,98364297,85434780,71849195,71849194,84454923,98364287,112346541,113376766,99376148,99376147,258390644,259644844,165079701,175809420,184609386,261961990,200184287,200184286,192992735,184609384,175009087,164193715,164193714,262292516,192992730,193767939,185502967,176031740,165339807,165339808,176031742,185502969,193767935,200855096,206836031,206836032,200855097,193767936,193767937,200855098,205613165,205613172,205613171,273732354,200184280,200184279,206256700,200855099,200855100,200855101,199388413,199388412,264254082,211277546,273962461,205613167,205613170,264692553,205613169,205613168,199388419,199388420,264429921,199388418,192031396,192031395,264137261,192031404,183479383 Dl.O(d2) = 81496393,259177915,109741318,95531838,81496394,68012864,68012865,81496397,95531842,95531846,259804193,123886660,123886654,261005661,150578714,150578717,137574110,261567499,137574105,137574106,123886665,109741332,95531854,95531855,260415507,123886648,259995174,81496405,258129070,44727287,35307741,27188073,20264232,20264233,27188075,35307745,44727293,55625510,68012859,81496389,81496416,68012880,55625525,55625524,258549071,95531862,106895262,106895266,92576226,78528791,65238460,53248829,42796510,42796509,53248826,65238458,78528787,270336556,92576211,78528781,65238454,65238455,78528783,92576209,92576208,260915951,261205890,134971086,121162251,121162250,134971084,148093483,148093481,148093482,160337251,171540336,176604033,176604032,186024399,273726049,207191404,207979769,207979770,207191397,264774415,212074415,207191400,201270735,201270736,207191402,212074417,212751551,207979778,202192685,195309741,195309740,202192683,207979776,207979782,202192687,263636173,187260229,195309743,202192691,207979786,212751561,212751563,207979787,202192692,202192693,207979790,212751569,207979796,263983097,263983095,187260239,178014815,167546626,167546619,155934682,143394529,143394530,143394534,130064598,130064597,143394531,155934685,167546620,263252019,178014814,167546629,155934693,155934691,143394536,271865949,116156514,116156513,102099347,88112330,74500528,61719022,61719021,74500527,88112328,102099346,260137103,88112337,258275899,61719034,61719023,50240114,40220028,40220027,40220032,31534088,31534089,40220034,50240123,61719036,61719028,50240116,50240115,61719026,61719035,61719037,61719038,74500535,270908351,116156524,116156521,116156520,130064604,143394544,260676360,130064607,143394545,153571350,140897595,127542974,127542973,127542970,127542972,113672366,99659722,99659723,113672368,127542991,140897584,153571345,153571355,153571356,260676362,185520261,185520251,185520249,185520250,185520253,261796928,176050383,176050382,185520252,176050385,176050386,176050377,165360323,153571347,140897590,127542968,127542969,140897586,140897585,260077496,176050375,262207238,261690490,200870534,271791746,176488375,176488374,165831937,154061552,141386598,141386599,154061554,165831938,176488384,185919206,194141221,194141244,261690486,272547626,194141222,261141156,262207236,216000397,219311520,222109244,273343014,212003674,207113091,201183703,201183704,195441426,187414392,187414391,195441425,201183697,194141229,185919213,176488377,165831933,273131777,194141235,201183706,201183700,201183701,194141241,194141242,201183711,207113098,262687736,216000408,216726414,212835977,208077386,202306349,195441435,187414402,178188969,167733840,156130372,156130371,262366281,143595432,130267608,116430374,116430373,116430377,102336841,88340393,259536307,116430379,271419069,88340395,74712560,74712559,88340390,271499592,256030733,17681134,12504239,8470523,5475323,3369325,1982666,254136573,352493,352492,635183,254187977,3369301,5475268,8470412,12504072,17680928,17680929,12504162,8470471,5475294,3369312,3369313,5475298,8470479,10915014,10915013,15191822,11957046,11957048,17044286,17681088,17044265,14113989,14113988,14113976,14113977,9709751,6387531,4008464,2402373,2402372,4008462,6387529,9709746,14113980,19685896,256190073,35062054,26978858,20090402,14403872,9907064,6867668,6867667,10417840,14403660,254689275,6511290,4080333,4080334,254975247,20090331,20091047,14404433,9907457,6511626,6511295,4080299,2441550,1411875,1411874,2441548,4080293,6511284,6414454,4024198,4024199,4582941,2757316,1598463,1598462,2757314,4582937,6511508,4080427,4080429,6511512,9907250,10591369,15335077,11075657,7344050,7344049,11075653,9907361,6511572,4080475,2441638,1411920,803335,455202,254116645,1411922,1395605,254115939,252999,267743199,793758,1395610,254681281,12044015,12044016,9755530,6414447,6414446,254963525,19812260 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8611583, s2 = 15931416, dlinesl.size( ) = 2 s1 = 8611583, s2 = 15931416, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 8611583, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 11466959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11078557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078557, s2 = 8141851, int(edited[s2]) = 0 s1 = 11078557, s2 = 8141851, d1 = 31, d2 = 60 Dl.O(d1) = 256816383 Dl.O(d2) = 39483535,256136443,18947301,13510538,13510539,255305082,255538028,43309620,256185838,257265920,57981624,257265664,53836959,53836958,47209368,39337090,30738373,23318290,17053872,11963480,8008418,5098161,3094413,3094412,5098156,8008407,11963468,17053847,23318246,30738308,23318495,17053987,17053988,23318497,30738658,39337369,43314577,34216880,34216879,43314575,38625900,31553310,24049401,24049402,31553312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078557, s2 = 8141851, dlinesl.size( ) = 32 s1 = 15306823, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14335148, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11335045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335045, s2 = 445470, int(edited[s2]) = 0 s1 = 11335045, s2 = 445470, d1 = 52, d2 = 62 Dl.O(d1) = 260038615 Dl.O(d2) = 11290975,16240747,16240679,16240678,22402650,22402219,16240308,11290653,11290652,16240302,22402214,22402398,16240468,16240467,16240275,11290640,11290639,16240273,255470459,16240699,22402689,29765304,29764557,22402014,22402013,22402436,16240513,16240514,268405465,16240667,16240666,22402364,22402674,16240688,11290938,7496461,4738750,4738751,7496464,11290941,16240696,17095035,23364003,29765283,29764701,22402139,16240254,16240253,16240210,11290579,11290459,7496100,7496099,7496263,4738622,2855898,2855897,4738617,2855961,2855962,4738733,7496431,11290660,16240316,16239874,11290298,7495984,7495985,11290302,16239878,22401692,16240519,11290995,11025851,11025852,15904461,16240960,16240150,11290529,7496171,7496170,11290528,7496520,7496521,11291028,16240690,11290991,7496492,4738766,4738765,7496486,7496411,7496250,7496249,11290631,11290568,7496201,7496203,11290573,11290801,7496367,4738689,4738690,7496371,11290809,11291114,7496594,4738830,4738831,7496596,7496128,4738536,4738535,7496109,4738522,4738521,7496106,11290462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335045, s2 = 445470, dlinesl.size( ) = 16 s1 = 15306872, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12912146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212353, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212353, s2 = 11477952, int(edited[s2]) = 0 s1 = 11212353, s2 = 11477952, d1 = 40, d2 = 31 Dl.O(d1) = 271326185,264203339 Dl.O(d2) = 264708736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212353, s2 = 11477952, dlinesl.size( ) = 52 s1 = 11186741, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15304854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14335219, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11625385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15286493, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 1727536, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11286129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11286129, s2 = 11105272, int(edited[s2]) = 0 s1 = 11286129, s2 = 11105272, d1 = 13, d2 = 15 Dl.O(d1) = 257911488,74503428,88114708 Dl.O(d2) = 61722174,50243350,40223214,31536918,24034272,17682998 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11286129, s2 = 11105272, dlinesl.size( ) = 16 s1 = 11001671, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001671, s2 = 13146435, int(edited[s2]) = 0 s1 = 11001671, s2 = 13146435, d1 = 11, d2 = 6 Dl.O(d1) = 254950059,19444111,26140925,33980403,41367961,254289826,24876702,32519668,41367963,42173074,255620828,257140912 Dl.O(d2) = 4983773,3010422,3010426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001671, s2 = 13146435, dlinesl.size( ) = 12 s1 = 7803592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11028687, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 6921405, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11279451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11214275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11214275, s2 = 10813591, int(edited[s2]) = 0 s1 = 11214275, s2 = 10813591, d1 = 126, d2 = 104 Dl.O(d1) = 256271802,113793371 Dl.O(d2) = 265522110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11214275, s2 = 10813591, dlinesl.size( ) = 42 s1 = 13937575, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15307167, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12858469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12858469, s2 = 10651326, int(edited[s2]) = 0 s1 = 12858469, s2 = 10651326, d1 = 1, d2 = 1 Dl.O(d1) = 42009005,257188785,42009332,42009331,42009364,33068779,25338908,25338907,33068775,42013090,49718061,39699282,31022160,31022159,39699191,31022115,31022116,39699196,49717948,52348146,42008954,33064909,33064910,42008955,42009326,42009325,52348562,61196715,61196716,52348570,48850010,39699288,39699290,42009119,39699293,39699292,33068349,31022134,23540998,23540999,31022139,39699235,42009128,49717979,61196621,49717953,49717954,52348594,42009373,42009372,52348610,49093397,42012571,42012572,52348554,52348553,64198810,64198838,64198436,64198437,60496699,60496700,49717929,39699181,39699182,49717933,61196600,62668595,52348139,42008948,42008949,42012836,52352100,64198587,77345920,64198463,64198462,64198582,61196608,61196607,61196649,52348320,49718081,49718036,39699263,31022148,23541001,23541002,31022155,39699275,49718050,60800296,60800297,64198595,64198594,60496677,52348607,52348608,64198850,73975101,86856234,77346190,64198806,64198804,73975103,73975104,73243455,60496702,49093405,39163576,30566046,30566048,39163580,49093414,60496720,49399607,49399606,60800310,66903634,54646821,54646822,66903636,77345976,77345977,87573369,73975132,61196708,49718043,49718042,61196703,60496683,60496685,49718013,39699253,31022144,31022143,39699249,40901029,40901030,42012840,52352107,55199820,54660178,54660177,49093356,49093353,60496632,73243413,73243493,60496744,49093431,49093429,60496738,73243484,73243443,60496695,60496696,73243448,60496706,49093409,49093410,60496712,73243466,80342954,80342956,77350509,77350508,77345973,77345972,77345983,66916631,66916630,54660191,43917862,43917829,34644867,26653790,26653789,26653760 Dl.O(d2) = 42009005,257188785,42009332,42009331,42009364,33068779,25338908,25338907,33068775,42013090,49718061,39699282,31022160,31022159,39699191,31022115,31022116,39699196,49717948,52348146,42008954,33064909,33064910,42008955,42009326,42009325,52348562,61196715,61196716,52348570,48850010,39699288,39699290,42009119,39699293,39699292,33068349,31022134,23540998,23540999,31022139,39699235,42009128,49717979,61196621,49717953,49717954,52348594,42009373,42009372,52348610,49093397,42012571,42012572,52348554,52348553,64198810,64198838,64198436,64198437,60496699,60496700,49717929,39699181,39699182,49717933,61196600,62668595,52348139,42008948,42008949,42012836,52352100,64198587,77345920,64198463,64198462,64198582,61196608,61196607,61196649,52348320,49718081,49718036,39699263,31022148,23541001,23541002,31022155,39699275,49718050,60800296,60800297,64198595,64198594,60496677,52348607,52348608,64198850,73975101,86856234,77346190,64198806,64198804,73975103,73975104,73243455,60496702,49093405,39163576,30566046,30566048,39163580,49093414,60496720,49399607,49399606,60800310,66903634,54646821,54646822,66903636,77345976,77345977,87573369,73975132,61196708,49718043,49718042,61196703,60496683,60496685,49718013,39699253,31022144,31022143,39699249,40901029,40901030,42012840,52352107,55199820,54660178,54660177,49093356,49093353,60496632,73243413,73243493,60496744,49093431,49093429,60496738,73243484,73243443,60496695,60496696,73243448,60496706,49093409,49093410,60496712,73243466,80342954,80342956,77350509,77350508,77345973,77345972,77345983,66916631,66916630,54660191,43917862,43917829,34644867,26653790,26653789,26653760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12858469, s2 = 10651326, dlinesl.size( ) = 2 s1 = 12858469, s2 = 10651326, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12858469, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10651327, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15307182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14038831, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15251880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15251880, s2 = 10773245, int(edited[s2]) = 0 s1 = 15251880, s2 = 10773245, d1 = 3, d2 = 7 Dl.O(d1) = 42510770,52920583,64845495,60500936,53891738,256445576,30569236,23151867,16891065,16891066,23151870,30569239,39167097,49097271 Dl.O(d2) = 49097313,60500940,73247953,86860541,95623003,81589360,81589361,84785169,84785168,95622978,95622959,81589332,81589333,95622965,95622969,109434772,95178624,95178625,109434775,109434758,95178610,95178611,86860545,73247958,60500948,49097317,49097305,39167130,39167129,49097300,49097334,60500968,73247978,86860574,100841178,100841077,86860457,73247871,60500858,49097244,39167080,39167079,49097239,60500856,60500885,60500886,70980144,70980143,78272714,86247609,100215046,95623009,81589366,68099644,68099643,81589364,81589337,68099624,55702020,55702019,68099621,81589335,95622974,109827322,100841080,100841081,114891062,101680577,101680576,114891121,100841167,86860566,73247972,73247975,86860531,73247944,60500932,60500931,60500964,73247970,86860563,100841164,114891133,128786659,120846845,106597840,92299646,78272746,64999770,53025143,53025144,64999746,64999745,78272716,86860479,100841083,106597855,106597856,95623013,81589370,269004242,256037072,27245704,27245702,35369729,44794450,55702023,68099630,81589341,87706693,74100776,61317769,258243687,87706689,101680585,115725456,112643914,112643913,100841171,100841172,101680596,100841159,86860558,86860559,100841162,114891129,128786657,120846849,106597845,92299643,78272755,64999779,53025149,42585391,33568512,25778571,25778572,33568515,42585394,53025153,64999788,78272762,88256876,74626415,74626414,64999763,64999762,78272735,92299632,81589352,68099639,68099641,81589356,92299612,92299613,101680587,101680582,101680581,114249062,113008762,112643921,98647155,84716740,84716739,98647151,112643917,126508736,128786649,114891125,114891126,120846841,106597834,92299636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15251880, s2 = 10773245, dlinesl.size( ) = 2 s1 = 15251880, s2 = 10773245, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15251880, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10773244, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12914448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16257698, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16161200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12859087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12859087, s2 = 16254664, int(edited[s2]) = 0 s1 = 12859087, s2 = 16254664, d1 = 1, d2 = 1 Dl.O(d1) = 206840018,211781666,215819002,219158582,221978158,224399670 Dl.O(d2) = 206840018,211781666,215819002,219158582,221978158,224399670 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12859087, s2 = 16254664, dlinesl.size( ) = 2 s1 = 12859087, s2 = 16254664, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12859087, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16254663, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15290469, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15290469, s2 = 7243453, int(edited[s2]) = 0 s1 = 15290469, s2 = 7243453, d1 = 21, d2 = 19 Dl.O(d1) = 28683692,37207535,269782114,84773519,98702072,112697948,261107290,112697933,112697934 Dl.O(d2) = 264470419,265979469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15290469, s2 = 7243453, dlinesl.size( ) = 24 s1 = 12859227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12859331, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11602083, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7362904, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7362904, s2 = 13021771, int(edited[s2]) = 0 s1 = 7362904, s2 = 13021771, d1 = 89, d2 = 119 Dl.O(d1) = 265861313,231362145,232640647,233795944,234847122 Dl.O(d2) = 243414469,267178468,242470262,274898368,241288655,266985310,266886926 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7362904, s2 = 13021771, dlinesl.size( ) = 50 s1 = 15287526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372034, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16372034, s2 = 5137285, int(edited[s2]) = 0 s1 = 16372034, s2 = 5137285, d1 = 29, d2 = 24 Dl.O(d1) = 76346811,90174000,104325521,269036020 Dl.O(d2) = 261371480,208759566,213367059,273203052,213367058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16372034, s2 = 5137285, dlinesl.size( ) = 24 s1 = 12859769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12859769, s2 = 12915199, int(edited[s2]) = 0 s1 = 12859769, s2 = 12915199, d1 = 1, d2 = 1 Dl.O(d1) = 4560246,4560248,2742786,2742787,4560947,7233906,7234094,4560340,2742393,2742392,4560254,4560253,7234003,10933378,10933079,7233763,4560078,4560079,254751923,10934702,15784119,21855707,29164408,29162158,21853661,15782523,10933538,7234132,4560362,2742410,1589315,903485,903486,1589317,2742414,4560367,7234140,10933508,15782496,15782030,10933098,255058517,10933357,7233989,7233988,10933353,7235015,4560942,4560943,7235017,10934763,10933473,7234084,7234085,10933476,15782459,21853491,15782371,15782370,15781999,15781998,15782010,10933083,10933084,15782014,21853080,29161497,37721255,31387483,23890963,23890962,29162108,21853620,15782485,10933502,7234109,4560347,2742398,1589309,1589310,2742401,4560349,7234112,10933505,15782492,10933544,7234137,4560365,4560364,7234134,10933350,10933351,15782348,15784190,10934760,10934762,15784194,15782456,15782455,21853570,29162064,37721899,37721974,29162165,29161485,21853058,21853059,21853074,21853072,29161493,21853468,21853467,21853473,21853475,29161976,37721804,47643880,37721909,29162088,21853604,15782478,10933491,7234102,4560343,4560344,7234105,10933495,15782480,21853613,29162098,29162102,21853615,15784374,11955221,8003171,5095061,5095062,254820367,17041812,23302044,255431161,10934072,7234501,7234499,10934068,15783219,21854557,29162164,21853663,16907580,11832458,11832459,16907581,23170987,30589249,39186735,37721277,29163208,29163209,29163207,21854559,21854558,256360273,37723116,256629490,29164691,21855954,21855953,268140904,21856022,15784381,10934892,10934890,15784378,15784366,10934885,7235103,4560983,2742815,2742814,4560981,255058683,255866373,37724609,256902166,48391108,47646409,37724555,29164665,21855930,21855929,29164662,37724530,37724531,256902157,29164634,21855913,15784300,10934846,10934845,10934855,10934856,15784313,21855934,256902159,29164652,21855923,21855924,29164655,37724547,47646402,41693765,32776769,25079452,25079451,32776763,41693762,257454701,268616635,21521715,21521713,28785538,37321760,28785609,21521750,15509894,10726487,7087007 Dl.O(d2) = 4560246,4560248,2742786,2742787,4560947,7233906,7234094,4560340,2742393,2742392,4560254,4560253,7234003,10933378,10933079,7233763,4560078,4560079,254751923,10934702,15784119,21855707,29164408,29162158,21853661,15782523,10933538,7234132,4560362,2742410,1589315,903485,903486,1589317,2742414,4560367,7234140,10933508,15782496,15782030,10933098,255058517,10933357,7233989,7233988,10933353,7235015,4560942,4560943,7235017,10934763,10933473,7234084,7234085,10933476,15782459,21853491,15782371,15782370,15781999,15781998,15782010,10933083,10933084,15782014,21853080,29161497,37721255,31387483,23890963,23890962,29162108,21853620,15782485,10933502,7234109,4560347,2742398,1589309,1589310,2742401,4560349,7234112,10933505,15782492,10933544,7234137,4560365,4560364,7234134,10933350,10933351,15782348,15784190,10934760,10934762,15784194,15782456,15782455,21853570,29162064,37721899,37721974,29162165,29161485,21853058,21853059,21853074,21853072,29161493,21853468,21853467,21853473,21853475,29161976,37721804,47643880,37721909,29162088,21853604,15782478,10933491,7234102,4560343,4560344,7234105,10933495,15782480,21853613,29162098,29162102,21853615,15784374,11955221,8003171,5095061,5095062,254820367,17041812,23302044,255431161,10934072,7234501,7234499,10934068,15783219,21854557,29162164,21853663,16907580,11832458,11832459,16907581,23170987,30589249,39186735,37721277,29163208,29163209,29163207,21854559,21854558,256360273,37723116,256629490,29164691,21855954,21855953,268140904,21856022,15784381,10934892,10934890,15784378,15784366,10934885,7235103,4560983,2742815,2742814,4560981,255058683,255866373,37724609,256902166,48391108,47646409,37724555,29164665,21855930,21855929,29164662,37724530,37724531,256902157,29164634,21855913,15784300,10934846,10934845,10934855,10934856,15784313,21855934,256902159,29164652,21855923,21855924,29164655,37724547,47646402,41693765,32776769,25079452,25079451,32776763,41693762,257454701,268616635,21521715,21521713,28785538,37321760,28785609,21521750,15509894,10726487,7087007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12859769, s2 = 12915199, dlinesl.size( ) = 2 s1 = 12859769, s2 = 12915199, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12859769, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 12915200, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10738038, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10738038, s2 = 12903464, int(edited[s2]) = 0 s1 = 10738038, s2 = 12903464, d1 = 0, d2 = 0 Dl.O(d1) = 30828543,26953388,21785939,15727443,10890930,10890931,15727447,21785946,26930555,20044874,14359731,14359729,15626299,21662208,28940997,37482918,31244469,26901579,21826122,21826120,22682096,26938208,20052274,20052271,26938200,35019224,35041873,37403922,30056732,22680091,21636948,17451843,17451842,23781927,31266986,25926611,25926609,22239878,16104189,11186127,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224722,15727500,15727502,21786011,20071438,14388208,9893971,9893972,14388218,20071470,23033802,29087230,29323821,21994518,15896127,15896129,11096774,11096776,15984434,22091608,29422235,33149843,25437877,22680075,22680078,20052017,14366421,14366422,20052022,26937954,35019002,29825965 Dl.O(d2) = 30828543,26953388,21785939,15727443,10890930,10890931,15727447,21785946,26930555,20044874,14359731,14359729,15626299,21662208,28940997,37482918,31244469,26901579,21826122,21826120,22682096,26938208,20052274,20052271,26938200,35019224,35041873,37403922,30056732,22680091,21636948,17451843,17451842,23781927,31266986,25926611,25926609,22239878,16104189,11186127,11186129,16104158,22239821,19224505,13733077,9408117,6164060,6164061,3857003,3857005,6164104,9408192,13733198,19224722,15727500,15727502,21786011,20071438,14388208,9893971,9893972,14388218,20071470,23033802,29087230,29323821,21994518,15896127,15896129,11096774,11096776,15984434,22091608,29422235,33149843,25437877,22680075,22680078,20052017,14366421,14366422,20052022,26937954,35019002,29825965 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10738038, s2 = 12903464, dlinesl.size( ) = 2 s1 = 10738038, s2 = 12903464, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10738038, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11002033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13270203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11064143, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11512893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11512893, s2 = 11294432, int(edited[s2]) = 0 s1 = 11512893, s2 = 11294432, d1 = 18, d2 = 4 Dl.O(d1) = 264087026 Dl.O(d2) = 152639727 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11512893, s2 = 11294432, dlinesl.size( ) = 8 s1 = 11622729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12818862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056019, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056019, s2 = 12428962, int(edited[s2]) = 0 s1 = 11056019, s2 = 12428962, d1 = 17, d2 = 11 Dl.O(d1) = 21570314,21570315,15564928,15564925,21591288,255043670,46728762,58100741,70817871 Dl.O(d2) = 258695092 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056019, s2 = 12428962, dlinesl.size( ) = 18 s1 = 11334207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334207, s2 = 8728341, int(edited[s2]) = 0 s1 = 11334207, s2 = 8728341, d1 = 102, d2 = 105 Dl.O(d1) = 272568649,129639551,115743156,101698322,270894418,61337515,61337514,270380715,260306108,53003753,256150650,29328623,29328625,257496783,71955634,271794997,263135307 Dl.O(d2) = 217456271,265351342,262458079,146790869,146790870,263708793,197236495,265086959,209274638,213768405,264865731,213768411,213768409,213768408,217456272,217456271,264621337,264046867,197236497,203797180,209274640,264167874,215912729,264457494,219240488,219240487,264717748,264717746,274347459,219240481,219240488,219240487,264717748,219240486,215912732,211891211,211891210,215912731,263844108,206969717,211891209,215912728,219240481,219240488,215912733,211891211,263082880,271296928,271804687 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334207, s2 = 8728341, dlinesl.size( ) = 60 s1 = 11457745, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11109415, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12861687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12861687, s2 = 10428634, int(edited[s2]) = 0 s1 = 12861687, s2 = 10428634, d1 = 12, d2 = 11 Dl.O(d1) = 19592764,19592763,19592762,26318115,256703795,269574487,260354635,136162493 Dl.O(d2) = 182758395,191410073,264109261,210383493,214651892,218161406 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12861687, s2 = 10428634, dlinesl.size( ) = 16 s1 = 11001475, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001475, s2 = 11127730, int(edited[s2]) = 0 s1 = 11001475, s2 = 11127730, d1 = 36, d2 = 13 Dl.O(d1) = 268033635,9486098,254945697 Dl.O(d2) = 42872531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001475, s2 = 11127730, dlinesl.size( ) = 34 s1 = 11399071, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11207863, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207863, s2 = 9119048, int(edited[s2]) = 0 s1 = 11207863, s2 = 9119048, d1 = 40, d2 = 54 Dl.O(d1) = 258249022,15247565,10518809,6936904,4359062,4359063,6936908,5962983,5962982,9113714,13338943,18737427,25314814,33042752,257186639 Dl.O(d2) = 33155010,33155009,41028458,41028457,44498840,55345221,57621999,58824226,70315671,70315670,65892028,53824368,43299150,34201108,256704721,256307282,43299505,53824656,58227921,52462058,52462057,46280418,256267322,48162716,48162715,43299512,34201481,26328310,19600946,19600947,26328315,26328296,19600932,14044676,14044677,19600934,25413771,19601147,14044841,9657131,9657130 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207863, s2 = 9119048, dlinesl.size( ) = 20 s1 = 11359655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11359655, s2 = 7563706, int(edited[s2]) = 0 s1 = 11359655, s2 = 7563706, d1 = 43, d2 = 45 Dl.O(d1) = 260648563 Dl.O(d2) = 268034253 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11359655, s2 = 7563706, dlinesl.size( ) = 18 s1 = 11499271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499271, s2 = 11159074, int(edited[s2]) = 0 s1 = 11499271, s2 = 11159074, d1 = 16, d2 = 29 Dl.O(d1) = 274575470,217343456 Dl.O(d2) = 4983774,3010442,3010444,4983878,7852042,255129893,255958631,259439105,84987806,256569840,21567565,22527624,22527623,22505878,16332010,16332009,22505876,22507314,16333560,15548281,10753596,7104553,7104554,10753598,15548282,21570687,28841949,29878879,254519646,27086997,29307294,254579028,254741394,28890904,28313015,28313011,21102581,17316821,17316823,14433049,14433048,20124804,21566479,16315935,16315933,12204210,12204207,12349483,8343640,5385373,5385374,8343648,10720264,10720263,15501535,15603857,20198815,17255226,12135345,8165296,8165298,12135353,17255234,16351416,16351415,12132829,12132828,10846450,10846453,15667947,21710138,22494199,22487515,16314850,16314847,17284226,17284225,17343721,20127138,14435212,14435209,15156203,10452464,6890265,6890263,10452418,10452417,15156113,267755808,23038311,22504460,254273538,31084630,36808724,31122329,31087903,23603500,22778010,22778009,30166898,38041214,38041213,29745239,29745240,29614344,22263455,16122958,11199849,11199846,14570459,10026325,6589588,4128390,4128389,6589583,10026315,14570433,16459675,11468579,7628489,4826474,4826475,7628491,11345392,7539242,7539241,11345389,255158702,10449248,254836250,16303008,22472611,29354238,29354239,23334616,23334617,28517481,23334623,17068380,17068379,16094967,11179044,11179045,16094970,15838095,15150347,15150348,21091785,22472875,29840390,38412684,36798144,268911171,255849288,36811768,28315588,28315590,268025520,36801286,36801288,38143628,36798196,28303352,21094441,21094442,22230567,22230568,29578155,255177474,16459623,22650989,28303287,28303286,22473582,16303810,16303811,22473586,28302047,36799149,35185225,27096481,27096483,21105367,15160359,15160357,11179371,11179370,15151349,15151348,21093399,28302151,25195637,25195636,21105503,15160452,15160449,21105499,28315629,28304298,28304299,36801025,36798377,36798179,28300891,28300892,28301320,28301321,36797406,36797407,28301046,21092526,15150804,15150805,21092528,28301052,28300930,28300929,28301547,21092928,15151075,15150326,10448755,6888176,6888175,10448750,15150316,15153053,10450327,10450326,10448784,6888190,6888191,10448789,15150391,21091854,28300025,21091718,15150470,15150466,10448827,10448824,15150453,255807897,35356232,35356231,29879969,22523815,16350746,16350744,22523810,28912609,28912607,36800985,28304271,28304272,32787076,32787075,41702848,36529209,28063114,28063115,255049354,32786039,25090504,18544966,13176806,11851990,8209144,8209143,12177527,17299253,12177360,8981780,8981782,13175815,12177311,12177313,15041363,15041364,16336025,11366114,11366113,8209073,8209076,12177377,17299281,14514706,14514707,20227101,25088237,25088240,25089868,27133036,23768677,20227167,20227168,27133029,20227250,14514802,9987660,9987657,13175565,8981515,8981514,13175801,18543314,25088408,25088214,25088213,32786053,36845222,41702957,254339394,48957033,48957032,41702657,37287016,28752808,21493242,15487211,15487210,21493239,28752802,28503320,21284915,15321133,10582196,10582198,15321142,21284931,28312010,28312009,29562051,22501022,22501021,21192399,15229102,268379079,18542784,25087659,32785513,28413896,22216675,22216674 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499271, s2 = 11159074, dlinesl.size( ) = 30 s1 = 10993299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993299, s2 = 7096727, int(edited[s2]) = 0 s1 = 10993299, s2 = 7096727, d1 = 0, d2 = 51 Dl.O(d1) = 6235577 Dl.O(d2) = 262516937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993299, s2 = 7096727, dlinesl.size( ) = 36 s1 = 11499667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344761, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11508521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11555681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11626851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11626851, s2 = 15339985, int(edited[s2]) = 0 s1 = 11626851, s2 = 15339985, d1 = 31, d2 = 40 Dl.O(d1) = 267343382,243763861,243763863 Dl.O(d2) = 237401031,238129727,238129710,237401019,236599731,236599732,237401020,238129711,238792907,238129710,237401019,236599731,235720785,234754369,233693668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11626851, s2 = 15339985, dlinesl.size( ) = 34 s1 = 11597909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11597909, s2 = 10298273, int(edited[s2]) = 0 s1 = 11597909, s2 = 10298273, d1 = 40, d2 = 80 Dl.O(d1) = 266892243 Dl.O(d2) = 267686547,247689870,247689869,247708186,247689875,247689874,267688019,247708185,247708186,247708192,247724051,247724048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11597909, s2 = 10298273, dlinesl.size( ) = 46 s1 = 12314514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14315874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14315874, s2 = 7790314, int(edited[s2]) = 0 s1 = 14315874, s2 = 7790314, d1 = 0, d2 = 22 Dl.O(d1) = 241525073,241930894,267129593,242976892,267195769 Dl.O(d2) = 267268599,243453576,243453577,243453579,243725446,267317619,267295712,243453585,243161329,243161330,243453589,243725448,243453581,267184432,267116926,241768752,241768753,242156316,242515626,242849901,243161330,243453589,243725448,243453581,267184432,242849897,243161324,267215180,242849891,242515624,242515625,242849895,243161322,243453579,243725446,267317619,243976894,243725451,243725448,243453581,267184432,242849897,243161324,267215180,242849891,242515624,242515625,242849894,243161318,243453573,274967051 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14315874, s2 = 7790314, dlinesl.size( ) = 2 s1 = 14315874, s2 = 7790314, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14315874, Dl.E( ) = 24, 2.6e-05 seconds used appending s1 = 16360959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11474515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11474515, s2 = 16360960, int(edited[s2]) = 0 s1 = 11474515, s2 = 16360960, d1 = 27, d2 = 2 Dl.O(d1) = 264749990,196485703,263311167 Dl.O(d2) = 113589531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11474515, s2 = 16360960, dlinesl.size( ) = 20 s1 = 10746996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10746996, s2 = 14139278, int(edited[s2]) = 0 s1 = 10746996, s2 = 14139278, d1 = 9, d2 = 0 Dl.O(d1) = 274113175,219640217,222401375,224771290,226828087,225677706 Dl.O(d2) = 214283001 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10746996, s2 = 14139278, dlinesl.size( ) = 14 s1 = 8011962, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12917312, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12917312, s2 = 8816241, int(edited[s2]) = 0 s1 = 12917312, s2 = 8816241, d1 = 12, d2 = 61 Dl.O(d1) = 204924877,210188635 Dl.O(d2) = 264901399,220997017,220997021,220997020,265316081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12917312, s2 = 8816241, dlinesl.size( ) = 26 s1 = 11309361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11309361, s2 = 11378698, int(edited[s2]) = 0 s1 = 11309361, s2 = 11378698, d1 = 24, d2 = 26 Dl.O(d1) = 261219103,154358161 Dl.O(d2) = 261765879 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11309361, s2 = 11378698, dlinesl.size( ) = 30 s1 = 11562179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562179, s2 = 11342322, int(edited[s2]) = 0 s1 = 11562179, s2 = 11342322, d1 = 21, d2 = 24 Dl.O(d1) = 265456188,225052708 Dl.O(d2) = 273205218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562179, s2 = 11342322, dlinesl.size( ) = 30 s1 = 10197036, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12859163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12859163, s2 = 10984286, int(edited[s2]) = 0 s1 = 12859163, s2 = 10984286, d1 = 50, d2 = 4 Dl.O(d1) = 216771239 Dl.O(d2) = 28376395,21159138,15203158,10551122,7060434,267964371,7655064,254721430,7073934 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12859163, s2 = 10984286, dlinesl.size( ) = 38 s1 = 10275423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336026, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336026, s2 = 11040248, int(edited[s2]) = 0 s1 = 14336026, s2 = 11040248, d1 = 24, d2 = 7 Dl.O(d1) = 254253282,39263167,49189202,60589524 Dl.O(d2) = 46458444,36592261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336026, s2 = 11040248, dlinesl.size( ) = 32 s1 = 12863965, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12918254, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11087789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16364262, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16364262, s2 = 11166658, int(edited[s2]) = 0 s1 = 16364262, s2 = 11166658, d1 = 5, d2 = 13 Dl.O(d1) = 47417613 Dl.O(d2) = 71533798,85104847,85104844,71533797,71533796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16364262, s2 = 11166658, dlinesl.size( ) = 32 s1 = 11210821, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11210821, s2 = 12255288, int(edited[s2]) = 0 s1 = 11210821, s2 = 12255288, d1 = 1, d2 = 1 Dl.O(d1) = 71498942,71498945,269197944,85071040,85071039,95389130,95389129,98996711,112986331,126840187,112986195,112986194,126840183,126840184,140188792,126840190,126840191,112986355,112986182,98996590,85070970,71498904,71498903,85070968,85363059,71773445,59030972,59030971,61577554,50097567,50097569,61577558,74354357,87956709,101929571,98996698,98996697,95389326,81340019,67873077,67873078,81340022,95389329,95389172,81339833,81339831,95389168,99320278,105603994,105603995,101929548,101929547,112986326,112986327,105604038,91379227,77454227,77454226,256233296,37475095,37475093,47382418,52436764,52436765,64297871,52436774,42088106,42088107,52436778,64297892,77454204,85070957,98996571,105923607,259174236,105603977,91379165,91379166,97953363,111891091,111891073,111891074,111891090,103974505,89856718,76063056,63068186,51380026,51380025,63068183,76063054,77454188,84079392,70542316,70542315,84079389,89856719,77454225,257784069,42088110,33136320,25398310,256123803,257194247,52704986,64605500,70542363,70542362,70542319,57840361,46484255,257402357,70542347,84079434,97953375,105923618,271549095,113323752,99320297,99320298,91716202,91716201,97953327,105923609,91716186,77788390,77788389,91716185,91716182,77788385,77788384,70542331,70542332,84079409,84079380,70542306,57840354,57840356,70542312,77788387,64605502,52704989,42317790,257210229,57840394,46484268,36617805,28143942,28143941,36617801,46484258,57840385,64605519,52704999,42317816,256525048,25578096,33337399,42317812,47642160,37720115,37720117,47642162,59043982,71785915,77788451,77788450,91716227,105923621,91716199,91716198,270794439,70542324,57840364,46484243,46484244,57840365,52705003,52705004,64605528,77788420,91379374,77454385,77454386,271032377,77454382,64298058,64298059,64298048,52436891,52436890,64298044,77454408,91379296,105604082,260270409,91379414,91379415,105604124,260866342,105604056,91379257,77454262,77454261,91379255,91379384,258399001,64298033,77454394,77454249,77454250,91379246,91379358,77454375,64298020,64298021,77454377,91379361,105604129,270513941,64298062,52436897,42088176,33136351,33136350,42088174,52436893,64298054,77454417,64298080,64298079,77454438,91379312,77454318,77454317,259653551,77454374,64298017,64298016,64298025,52436868,257784079,77454381,77454391,77454390,91379284,91379283,91379344,91379345,105604116,91716191,91716192,105604131,105604084,91379300,77454307,64297959,52436818,52436819,42088166,33136349,25398326,25398325,33136345,42088158,269500495,77454363,269988093,52436810,42088125,42088124,52436807,64297938,77454278,64298067,52436900,42088179,33136356,25398330,25398329,33136353,33136324,25398312,25398311,33136322,42088117,52436794,64297915,77454245,77454347,77454397,77454398,77454301,77454302,77454396,64298035,52436877,52436876,258398993,64297910,77454239,77454364,91379282,77454280,64297940,64297930,269988091,64297945,52436834,42088139,33136336,25398320,18810282,13400520,13400519,18810281,25398317,33136333,42088132,52436825,64297967,77454293,91379289,95110927,95110928,91379336,77454346,64297994,64297993,77454343,91379332,105604107,105604120,119845221,123556555,257784678,95110966,91379391,269078330,81053563,95110957,109365166,109365170,95110963,95110962,269862588,95110972,81053568,67586015,55244374,44396269,44396270,55244376,67585946,55244337,55244336,67585944,81053500,67585958,61584105,61584106,67585999,55244367,44396262,35020891,26940020,26940021,255155746,55244325,67585929,81053478,88485038,74849302,74849300,88485036,102491803,91379350,91379349,95110952,87962938,74360682,74360683,87962941,101935717,115980118,258857458,116593622,102491813,95110970,81053567,67586011,67586012,81053560,95110909,95110974,81053570,81053569,74849340,62051120,62051121,67585978,67585977,67585955,67585954,67585968 Dl.O(d2) = 71498942,71498945,269197944,85071040,85071039,95389130,95389129,98996711,112986331,126840187,112986195,112986194,126840183,126840184,140188792,126840190,126840191,112986355,112986182,98996590,85070970,71498904,71498903,85070968,85363059,71773445,59030972,59030971,61577554,50097567,50097569,61577558,74354357,87956709,101929571,98996698,98996697,95389326,81340019,67873077,67873078,81340022,95389329,95389172,81339833,81339831,95389168,99320278,105603994,105603995,101929548,101929547,112986326,112986327,105604038,91379227,77454227,77454226,256233296,37475095,37475093,47382418,52436764,52436765,64297871,52436774,42088106,42088107,52436778,64297892,77454204,85070957,98996571,105923607,259174236,105603977,91379165,91379166,97953363,111891091,111891073,111891074,111891090,103974505,89856718,76063056,63068186,51380026,51380025,63068183,76063054,77454188,84079392,70542316,70542315,84079389,89856719,77454225,257784069,42088110,33136320,25398310,256123803,257194247,52704986,64605500,70542363,70542362,70542319,57840361,46484255,257402357,70542347,84079434,97953375,105923618,271549095,113323752,99320297,99320298,91716202,91716201,97953327,105923609,91716186,77788390,77788389,91716185,91716182,77788385,77788384,70542331,70542332,84079409,84079380,70542306,57840354,57840356,70542312,77788387,64605502,52704989,42317790,257210229,57840394,46484268,36617805,28143942,28143941,36617801,46484258,57840385,64605519,52704999,42317816,256525048,25578096,33337399,42317812,47642160,37720115,37720117,47642162,59043982,71785915,77788451,77788450,91716227,105923621,91716199,91716198,270794439,70542324,57840364,46484243,46484244,57840365,52705003,52705004,64605528,77788420,91379374,77454385,77454386,271032377,77454382,64298058,64298059,64298048,52436891,52436890,64298044,77454408,91379296,105604082,260270409,91379414,91379415,105604124,260866342,105604056,91379257,77454262,77454261,91379255,91379384,258399001,64298033,77454394,77454249,77454250,91379246,91379358,77454375,64298020,64298021,77454377,91379361,105604129,270513941,64298062,52436897,42088176,33136351,33136350,42088174,52436893,64298054,77454417,64298080,64298079,77454438,91379312,77454318,77454317,259653551,77454374,64298017,64298016,64298025,52436868,257784079,77454381,77454391,77454390,91379284,91379283,91379344,91379345,105604116,91716191,91716192,105604131,105604084,91379300,77454307,64297959,52436818,52436819,42088166,33136349,25398326,25398325,33136345,42088158,269500495,77454363,269988093,52436810,42088125,42088124,52436807,64297938,77454278,64298067,52436900,42088179,33136356,25398330,25398329,33136353,33136324,25398312,25398311,33136322,42088117,52436794,64297915,77454245,77454347,77454397,77454398,77454301,77454302,77454396,64298035,52436877,52436876,258398993,64297910,77454239,77454364,91379282,77454280,64297940,64297930,269988091,64297945,52436834,42088139,33136336,25398320,18810282,13400520,13400519,18810281,25398317,33136333,42088132,52436825,64297967,77454293,91379289,95110927,95110928,91379336,77454346,64297994,64297993,77454343,91379332,105604107,105604120,119845221,123556555,257784678,95110966,91379391,269078330,81053563,95110957,109365166,109365170,95110963,95110962,269862588,95110972,81053568,67586015,55244374,44396269,44396270,55244376,67585946,55244337,55244336,67585944,81053500,67585958,61584105,61584106,67585999,55244367,44396262,35020891,26940020,26940021,255155746,55244325,67585929,81053478,88485038,74849302,74849300,88485036,102491803,91379350,91379349,95110952,87962938,74360682,74360683,87962941,101935717,115980118,258857458,116593622,102491813,95110970,81053567,67586011,67586012,81053560,95110909,95110974,81053570,81053569,74849340,62051120,62051121,67585978,67585977,67585955,67585954,67585968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11210821, s2 = 12255288, dlinesl.size( ) = 2 s1 = 11210821, s2 = 12255288, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11210821, Dl.E( ) = 2, 4.05e-06 seconds used appending s1 = 12865499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12865499, s2 = 10533385, int(edited[s2]) = 0 s1 = 12865499, s2 = 10533385, d1 = 3, d2 = 7 Dl.O(d1) = 77788419,77788420,91379374,77454385,77454386,271032377,77454382,64298058,64298059,64298048,52436891,52436890,64298044,77454408,91379296,105604082,260270409,91379414 Dl.O(d2) = 77454318,77454317,259653551,77454374,64298017,64298016,64298025,52436868,257784079,77454381,77454391,77454390,91379284,91379283,91379344,91379345,105604116,91716191,91716192,105604131,105604084,91379300,77454307,64297959,52436818,52436819,42088166,33136349,25398326,25398325,33136345,42088158,269500495,77454363,269988093,52436810,42088125,42088124,52436807,64297938,77454278,64298067,52436900,42088179,33136356,25398330,25398329,33136353,33136324,25398312,25398311,33136322,42088117,52436794,64297915,77454245,77454347,77454397,77454398,77454301,77454302,77454396,64298035,52436877,52436876,258398993,64297910,77454239,77454364,91379282,77454280,64297940,64297930,269988091,64297945,52436834,42088139,33136336,25398320,18810282,13400520,13400519,18810281,25398317,33136334,42088135,52436829,64297972,64297909,64297908,77454236,91379240,91379295,77454361,64298010,52436858,42088152,33136341,33136340,42088149,42088177,42088146,42088147,52436851,64297998,77454351,77454339,77454340,91379329,91379342,91379341,91379305,77454310,77454308,85518336,77454291,64297951,64297952,77454293,91379289,95110927,95110928,91379336,77454346,64297994,64297993,77454343,91379332,105604107,105604120,119845221,123556555,257784678,81053564,67586006,55244370,44396264,35020893,35020894,44396266,55244372,67586008,77454326,88485058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12865499, s2 = 10533385, dlinesl.size( ) = 2 s1 = 12865499, s2 = 10533385, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12865499, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 12474718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10591501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14166774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336204, s2 = 11508998, int(edited[s2]) = 0 s1 = 14336204, s2 = 11508998, d1 = 63, d2 = 20 Dl.O(d1) = 218957736,218957737,218957742,215586343,211507123 Dl.O(d2) = 227412351,225448723,265291158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336204, s2 = 11508998, dlinesl.size( ) = 46 s1 = 10846072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10846072, s2 = 10846082, int(edited[s2]) = 0 s1 = 10846072, s2 = 10846082, d1 = 41, d2 = 74 Dl.O(d1) = 271416962,80340513 Dl.O(d2) = 258284558,54657347,257886943,257675562,256544420,9769030,6423014,6423012,255315757,19836196,26649731,19836193,14210363,254610060,4029463,6423012,9769031,14210372,19836200,26649741,256724943,43914625,256037830,19836191,14210362,254610060,2414589,1397682,1397680,2023943,2023942,3415870,2016427,2016429,3405166,5020631,3474247,2061103,1182861,1182860,2061098,3474242,254605625,3387952,3387951,3444894,2058726,1181286,663483,368044,368046,663488,1181293,2058736,3471259,3032857,1764927,1005565,1005569,1764931,3032866,5014663,7893895,5020077,5020078,5547693,3442483,3379335,3379336,5488636,5541406,4690197,3408937,3408936,5521724,254277755,254137775,567625,343752,188505,188507,196754,107345,107347,196760,359309,647617,1149289,2009909,3407136,5328790,5014471,4892709,2948501,2023692,1158107,649756,649753,1158089,1149105,1149108,1935903,2008602,2008603,3405481,3455040,3455041,5357254,3455372,2048066,2048047,1174423,659285,659286,1174349,2047914,3455173,5571037,8575122,12629810,8575114,8575113,12629809,17835646,24205285,24732183,268224948,30636395,24732186,18259281,16194782,16194781,22343828,26038420,19360501,13848089,9499835,6230985,6230986,254947071,19360505,255497082,13848085,13848083,19360492,26038410,33859774,39223121,48172623,47782790,39218566,39218565,256440074,57788712,46433515,256279997,20922618,20922617,28097920,24342367,23359046,23359048,30784018,29487471,29487470,31555172,31555173,40241321,40394898,50428363,50252631,50252632,61731364,50252727,49038387,39108517,39108516,39108520,30511416,23095915,16840299,11776594,11776591,16840291,12512386,12512384,17691096,22141772,24043255,31546814,31547721,40233687,48750273,40233071,31546884,31546885,40233073,269403849,58248328,258039757,258173344,31546567,31546566,39462288,40402623,31710528,31710526,40402622,256041953,24202896,31710541,40402633,40233097,40233086,31546899,256031877,24043273,255580087,17690909,12513203,12513204,8573445,5569305,3453179,3453178,5569299,8573426,255199571,256041951,40402594,50436697,60665385,49264206,39337988,39337987,47906950,47906949,38483438,38483439,48386143,59323579,257503052,256924473,39337989,39337990,40233058,257407250,46476099,38948062,256041949,17833266,17833267,24039516,24039517,31542816,40229171,50249008,49149751,49149750,57831915,57831914,61728131,50436685,40402571,31710460,24202815,24202813,31710456,40402568,258276725,50249523,50249522,61728158,61731038,74509503,257668017,40229641,31543275,24202831,268449031,31543307,256537581,31543274,24039962,17688124,17688125,24039964,31543276,37979207,29416291,268444903,255190263,12509883,268922382,31542894,40229241,47896484,269334987,46476063,256382512,20958354,20958355,28136326,36610058,36610116,36610125,28136388,20958404,15049418,15049420,20958407,20958409,28136391,25119026,18567887,18567886,25119024,29416097,33331365,29455838,29455835,37979237,29416343,29416344,31547556,31543186,24039895,255886850,22085996,15979820,11093308,7357077,4647342,4647343,7357079,11093311,15979657,15979658,15979659,15979660,22085737,17688193,17688192,22085859,255075112,15979828,15979793,11093343,7357105,4647357,2799367,1623888,923376,520534,291809,291808,520528,923367,1623861,2799331,4647125,4647126,7356682,7370462,7370454,7356977,4647295,4647291,7356821,4647209,4647213,7356829,11092951,8474824,8474823,12509936,11093166,11093026,11093027,11093043,11093042,7370424,7370423,11112900,16007103,11112940,11112941,11092700,7356639,7356640,7356771,4647196,4647198,7356798,11092899,11092909,11092908,7357122,4647369,2799362,2799311,1623846,923358,923357,923346,923345,1623814,2799256,4647173,7356754,4656180,2805055,1627238,1627239,2805063,4656187,7357129,7357088,7357089,11092947,15979425,17688191,17688190,15979492,11093032,7356873,7356874,11092912,11092913,15979392,13526739,9257657,9257658,11092708,7356647,4647102,2799218,1623796,923337,923336,1623792,1623823,923350,923351,1623829,2799284,4647239,7356865,11092873,7356780,4647187,2799262,2799261,4647183,6063222,3793577,3793578,6063228,7619617,8474203,5477757,3370830,3370832,5477758,8474204,7356686,7356687,8474701,8474702,5478137,3371048,3371045,5478131,8474818,12509784,12509785,8475347,5478467,5478468,8475351,8474607,8474606,12509688,15979377,12510673,12510671,11258177,7473752,7370583,4656249,4656247,7370576,11113096,16007296,22121049,17687108,12509021,8474136,5477705,3370802,1983533,1983532,3370797,5477690,254863789,8474528,254863839,11257791,16195095,16228636,16228637,22387006,256031568,38264612,38254701,29689467,24038761,17687060,12508965,12508964,16195504,11258037,7473661,4723199,4723201,7473664,11258044,15637492,21545327 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14001417, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14001417, s2 = 11022854, int(edited[s2]) = 0 s1 = 14001417, s2 = 11022854, d1 = 7, d2 = 10 Dl.O(d1) = 115783630,129680096,129680102,143007760 Dl.O(d2) = 101738552,87766027,74161592,61381057,49900460,39879001,256004488,17385590,12251289,12251290,268437721,23708965,31197713,257056743 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14001417, s2 = 11022854, dlinesl.size( ) = 2 s1 = 14001417, s2 = 11022854, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14001417, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11179761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11179761, s2 = 13991480, int(edited[s2]) = 0 s1 = 11179761, s2 = 13991480, d1 = 10, d2 = 19 Dl.O(d1) = 270316767,127461291,140821554,260715696,150656920 Dl.O(d2) = 95633376,258755096,55714932,256942628,27258703,27258704,29754231,255904238,10035823,7078438,4456427,4456426,7078432,10714414,10035856,6595280,4131792,4131791,6595277,10035847,14585305,20323864,27257770,30787661,29683340,29683341,38248275,37293896,37293895,37762485,37293892,267975406,15493560,15493559,20323991,20323989,27257916,35383178,44807809,44807789,35383138,27257865,20323944,14585353,10035889,6595301,4131801,4131802,6595304,10035891,14585360,20323938,22393654,22393653,28760191,21500683,21500684,28760194,25270165,25270164,27257745,20323843,14585294,10035840,10035841,14585300,20323858,268218897,15887064,16185063,268403705,27257777,20323871,14585307,10035850,10035851,14585310,20323876,27257781,35383057,35383177,44807806,47841990,37921579,37921578,44807725,37879549,29310682,21982793,15887063,15887062,21982791,29310679,37879545,47803209,50022342,47684715,47684716,37921582,255940770,22023294,27257866,35383141,35383129,27257859,256627607,32994262,40368565,31673969,24164335,24164334,31673967,36724682,28230905,21033712,21033713,28230907,36724684,39176517,30578623,23161551,16899985,16899983,23161544,30578696,39176595,39094323,30498489,23085178,23085177,30498484,39094316,30579232,23161968,23161967,30579227,39176280,30578547,30578427,23161376,23161375,23326084,17060113,17060112,17060101,17060103,17060079,17060080,23326027,30747543,39347147,49273301,49273302,60150069,255497968,35224276,27130540,256230681,44605133,55453846,60510521,60510522,60673770,258174426,61410067,73257288,257591977,39176400,39176399,40227851,31541468,31541467,40227849,50247756,48169701,38260187,38260186,47441458,47441460,58827661,48169688,43311327,34213204,26339603,19611153,19611152,26339599,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035710,37530800,37530799,46399331,36538437,28071406,28071407,24299270,24299269,29244961,21925160,15839113,15839114,21925164,29244970,37809435,47731607,59130372,47949347,38035793 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11179761, s2 = 13991480, dlinesl.size( ) = 10 s1 = 13992043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531191, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531191, s2 = 15343814, int(edited[s2]) = 0 s1 = 11531191, s2 = 15343814, d1 = 121, d2 = 189 Dl.O(d1) = 265981223,232527796,233694548,234755191 Dl.O(d2) = 4598895,2770739,2770738,2766728,2766727,4598870,7292666,11015943,7295271,4600909,2768222,2768223,4600912,4598877,4598878,7292676,11015950,11015930,8163329,5233223,4599436,2767172,1604145,1604146,2767175,4598966,4766181,2873159,2873160,4599482,4599483,4602262,2769274,1605618,1605617,2769272,4602312,4599394,2767124,1604120,1604119,1066378,599417,333979,333978,515077,912216,514659,514660,912219,912058,514566,514564,912054,1603879,1604101,912189,514646,514647,912191,1603909,1603908,2766774,4598944,7292720,7292636,4598846,4598845,4602113,3193606,2766804,1603924,1603923,2766801,4598778,5031214,4601852,4601851,5578893,254874467,17855157,24226991,31735502,269413922,102398704,98708725,98708726,98708727,84780672,71211840,59207546,59207545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531191, s2 = 15343814, dlinesl.size( ) = 56 s1 = 14336375, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12919730, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560165, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11560165, s2 = 11235036, int(edited[s2]) = 0 s1 = 11560165, s2 = 11235036, d1 = 65, d2 = 14 Dl.O(d1) = 265861783 Dl.O(d2) = 59359060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11560165, s2 = 11235036, dlinesl.size( ) = 34 s1 = 15318455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15318455, s2 = 3962265, int(edited[s2]) = 0 s1 = 15318455, s2 = 3962265, d1 = 34, d2 = 20 Dl.O(d1) = 271525774,27284447,27223033,20294620,20294621,27223034,23017311,16777031,11730001,7831097,7831100,11730009,16777046,19900581,14256029,14256028,19900572,14537024,14537026,10419694,10419695,7840229,7840227,11742984,16794748,17281501,23593703,20292178,14561331,10019881,10019880,7127665,254108236,1561811,1561809,2695953,4487360,7127643,7128368,7128367,10788722,15595620,20826505,14940096,14940094,20839408,25270804,18736565,13338383,11509148,11509147,16514684,22719690,20350206,14606883,14606881,20350202,14914383,10255221,10255222,10759549,14599557,11729901,11729902,14926232,10263861,10044630,6600871,6600867,10044557,10044555,14596469,10689494,10689492,13197935,13197934,18572519,14598864,10270042,6748910,6748909,10270039,12670730,12670729,13355433,13355434,16517887,16517279,11511051,7657446,7657448,11511059,16517290,14607861,10051664,6604992,6604993,10051670,14607873,10502188,6925081,6925082,10322924,12742737,12742735,10050725,10050724,14606455,20349755,15069099,14924657,14924656,14598618,10045138,6601167,4135494,2473790,1429963,1429964,1429840,1429843,2473541,4135010,4488727,5946732,9090217,12339000,8335912,8335910,7451241,4707896,2836118,2836121,4707852,3707277,3707276,5929000,5928998,9067457,10042795,10053075,6606069,4138031,2475073,1430556,813776,461266,461265,813773,1430552,2475060,4138006,6606024,10053560,14610706,10053526,6606005,6606003,254270200,20354543,254849700,44838976,55746710,256015344 Dl.O(d2) = 143131049 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15318455, s2 = 3962265, dlinesl.size( ) = 28 s1 = 14316852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336434, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336434, s2 = 839379, int(edited[s2]) = 0 s1 = 14336434, s2 = 839379, d1 = 101, d2 = 104 Dl.O(d1) = 114463902,128340821,141690209,154342182 Dl.O(d2) = 8205855,5276869,5276867,8205849,12173836,17295111,23607719,31091579,39730437,31051815,31051816,28302577,21093814,15151669,13330393,9108263,9108262,12486929,12486928,16350076,11380162,11380161,16353458,12191454,12191455,17316098,23632083,23636652,23636650,254183016,12143387,12143388,8234886,8234884,12203334,8242922,8242917,12212105,17338015,21101522,15157391,10453229,10453228,12009276,8066581,8066582,11349408,11349407,16312467,16335113,16335114,22508676,21893335,21612728,21612729 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336434, s2 = 839379, dlinesl.size( ) = 2 s1 = 14336434, s2 = 839379, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14336434, Dl.E( ) = 110, 3.31e-05 seconds used appending s1 = 14336466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336468, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336468, s2 = 11056850, int(edited[s2]) = 0 s1 = 14336468, s2 = 11056850, d1 = 26, d2 = 25 Dl.O(d1) = 256177210,21273287,15312060,10575249,6975613,6975612,10575246,15312054,13500601,9236741,6049575,3785619,3785621,6049581,9236753,13500619,18936124,24466800,18860788,18860789,25460864,24930176,18418905,18201026,12910022,8782242,5719802,5719801,8782238,12910017,17187439,17187438,20803867,23803156,17470075,17470076,23803160,18418330,14909657,14909660,20803898,18936161,18936160,21273310,17187441,12909999,8782230,5719798,5719797,8782229,6049588,254300775,1315668,750858,750857,1315666,2268032,3785614,6049566,9236719,8658774,8658777,12741545,9236728,9236729,13500576,18936142,21273268,21273266,15312035,15312034,20805484,14910865,10252797,6736921,6736922,10251868,10251869,13082641,18418776,24930050,25548629,24377293,24377292,27966386,20803917,20803918,27966390,24930187,24930188,32591902,25548641,20803827,14909614,10251833,10251832,10251850,6736213,6736214,10251854,14909644,20803886,24377297,17978822,12741533,8658769,5632544,3500337,2080462,2080461,3500334,5632537,8658755,10251860,10251859,14909647,20803891,20803877,20803878,14909738,14909737,17978834,20803506,14909664,12022424,12022425,17108302,23378060,20803970,20803972,27966428,33309940,25548524,18936076,14909129,14909127,14909467,14909468,20803684,27966161,36424076,27965577,20803179,20803180,20803243,14909121,10251433,10251434,267820996,10251439,14909136,20803266,20803567,20803566,24929983,32591681,36424947,46277386,254479532,44773136,35347990,27224948,27224949,255356726,44773034,44773035,36424062,27965565,27965564,36423662,36423663,46276336,44467873,35091360,27005458,21549330,15530997,15530996,16106205,11187434,7423088,7423083,7423052,7423054,11187375,16106113,11187528,7423144,4690848,2826493,2826496,4690859,4691486,7424229,11189280,16108835,11333442,11333444,15516219,15516218,20116752,14426691,14426693,20116760,256220347,257311409,67657224,55317509,55317508,67657226,81123942,259788385,95182334,81123944,81123943 Dl.O(d2) = 95182332,259600564,67657225,67657226,81123942,259338013,71669277,258128252,255863521,15748252,10906984,7213589,7213590,268077801,10497140,10497139,268460440,21580545,28852735,32121169,24543206,18108914,18108913,24543204,255581790,10482210,6911111,6911112,10482439,15197861,15198934,21154333,28370010,21153094,21153095,16945314,11859795,11859796,16945315,17516388,17468466,17468467,22284498,16141144,11213401,11213400,16141142,22284494,29636185,31163838,23802012,23802013,23091211,16836671,16836672,23091215,23223467,16950271,16950272,268424147,257016063,31288756,31163919,23675467,17355660,12226407,8254866,8254867,7928223,7927536,7927537,11861565,16948114,21635814,16950150,16950149,16949944,11862774,11862773,11863072,7928185,5039804,3051143,3051142,5039802,7928181,11863063,16950372,23223146,16949970,11862789,7928038,5039742,5039741,254816313,16949968,255970383,32806470,25104381,257173599,270503199,26600315,34587266,37532886,28988078,28988075,28988074,36815140,270302738,256353282,255052728,7633957,7633960,10866802,7184674,4526265,4526264,7184669,10866792,15697835,21751007,22593024,22593022,29957478,29038857,29038856,30044579,255051100,30044674,22669177,21714094,21714095,21714160,16409767,12073973,8119071,5201370,5201368,8119064,7183550,7183554,10865002,15688382,21733722,15685460,10858672,7178961,4522334,2718181,1575024,1575026,2718192,4522355,7178993,10821746,7151847,4525474,4525473,7183341,10864643,15694203,16606357,16606358,21737456,21741785,15691278,11636944,7752692,7752691,10866438,7184464,7184467,10866528,15697440,21750433,29043227,31738032,24229131,24229134,29043662,29043658,37591210,31032813,23551644,23551646,31032759,29047051,29047056,31738623,31746615,24235847,24235845,31746612,40441134,50477965,58833894,47447772,47447771,37590889,29043390,21750556,21750557,29043396,37561483,37561482,37501897,31751160,31751159,24239915,24239917,31751654,40446681,50483044,61968953,61968952,74767563,71586279,58862719,58862718,58838280,58838279,50475443,40438436,40438437,50475447,58189412,58189411,61965328,61971133,52461365,42108769,33154220,33154221,42108771,42107987,42107991,38182180,37570808,37570557,29023816,29023819,37570565,31739944,28175466,28175465,21741928,21741929,29033406,37580704,47486060,47481907,37576009,29028817,29028816,29028790,21738149,15688588,10860742,7180477,4523388,2718888,2718889,4523394,7180500,10860773,15688632,21738245,29028934,37576148,37588247,29040678,29040676,37588238,40446069,50482447,42108398,42108397,47499001,37594872,37594875,37589359,29041772,21749152,15696621,10866081,10866082,15696631,21749181,29023969,21734427,21734429,29024063,29024085,29024087,37570935,37592692,29045012,29045014,37592701,40440358,31745946,24235413,17861009,12648313,12648314,17861013,24235425,24239723,29890427,24239112,24239110,24239223,24233565,17859716,17859715,24233559,31743558,31744223,24239313,24234114,17860138,17860139,24234122,31744262,40438596,50475608,58873741,59815171,49728678,39710092,39710093,49728681,61207235,73986380,74770556,61973445,50480846,50480845,61973443,71583571,61970770,55483277,48814103,38892309,38892308,47485200,47468953,37561977,29015340,29015338,37561970,40440705,256043494,31746291,24235603,24235602,31746288,257099589,61971001,58875423,47495277,47491917,37590979,37590977,47495278,58875427,71578132,58852649,47468534,37561613,256893272,71576294,58850227,47465654,47465655,58850229,255425034,58869467,64328467,58859688,47476948,47476947,58859686,52460501,42107856,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071114,17167589,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,29027034,37573779,47059763,47059762,50472019,50289782,50289781,58863967,58852329,47468156,47468155,42108559,42108560,37575718,37575722,47481559,48540232,48540231,58857628,58857626,47493493,47493490,58873957,59483115,59483114,59815011,64328494,52460707,47486152,37580797,29047006,29041742,29041743,37570532,29023809,29023811,37556696,31739958,31739955,36651147,46518170,37580732,37571105,30535584,23116829,23116830,30535590,37562314,37562312,47059775,37168192,37168195,29028360,21737904,15688466,10860688,10860689,15688472,21737931,29028392,37575350,47459395,46693879,36810532,28313886,28313889,30051819,30051814,38625659,48540280,52461021,47468275,37561386,37561389,47468293,47488144,47488140,58849885,47487478,37582287,29034910,21743234,21743235,29023829,37570597,37575136,37570973,29024135,29024137,33153442,37900086,37900083,40509489,40509485,47469109,58848071,47463242,38443573,29887315,22533090,17167603,12071116,12071114,17167589,22535828,29890435,37585328,37585326,47490278,47474872,37569042,37569037,37590195,29298588,21971885,21971884,24233944,31744025,40438271,50475239,47495510,47495507,39709881,31032878,23551674,23551677,22263754,16123193,11200016,7431543,4696041,4696045,7431560,11200055,16123297,22263909,29614879,31742831,40436989,31813475,24298067,17915362,17915366,16478606,11481316,11481314,16478572,16478573,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,21736848,21736844,29027015,37548576,37856908,29288343,21962113 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336468, s2 = 11056850, dlinesl.size( ) = 28 s1 = 12920146, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11033003, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11400093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454467, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11446859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11297549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297549, s2 = 8399245, int(edited[s2]) = 0 s1 = 11297549, s2 = 8399245, d1 = 108, d2 = 99 Dl.O(d1) = 262091105 Dl.O(d2) = 260602424,99082877,113071524,126925627,261680183,154671571,164793460,164793459,262720334,128665790,142028025,261179512,100716451,269811832,256946430,37583782,47488769,258707657,99082877,113071524,126925628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297549, s2 = 8399245, dlinesl.size( ) = 86 s1 = 11284307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317158, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14006255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12870733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10256056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15324037, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15324037, s2 = 11439514, int(edited[s2]) = 0 s1 = 15324037, s2 = 11439514, d1 = 2, d2 = 64 Dl.O(d1) = 151981365 Dl.O(d2) = 264259880 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295755, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11295755, s2 = 10155064, int(edited[s2]) = 0 s1 = 11295755, s2 = 10155064, d1 = 50, d2 = 63 Dl.O(d1) = 259415696 Dl.O(d2) = 142190023,128832937,114933720,100882248,86902440,73292297,60549164,49149775,39223206,30625435,23203022,16933077,11851179,7920849,5035806,3049047,3049046,5035804,7920845,11851176,16933073,21910581,256365885,29226616,21910601,15828744,10969259,7260667,4579047,2754972,1597051,907901,511991,286960,158582,158581,286959,511988,907896,1597034,1597035,2754950,4579023,7260633,10969228,255435543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11295755, s2 = 10155064, dlinesl.size( ) = 14 s1 = 10583451, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11139961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139961, s2 = 14846723, int(edited[s2]) = 0 s1 = 11139961, s2 = 14846723, d1 = 18, d2 = 32 Dl.O(d1) = 57865291 Dl.O(d2) = 64474,64017,64016,68853,127029,230806,410371,723326,1267402,2185109,3653521,5852928,8965791,13153998,15678451,21723335,23802758,17469782,12316544,12316543,12316529,8319331,5368297,3300323,1941138,1941137,3300321,5368288,5368443,5368444,8319422,5368439,5368438,8319534,8319533,5817449,5817448,3629308,2167632,2167635,2167379,1254415,713448,403050,403052,713455,1254427,1941148,1941142,1941143,2167611,3629268,3628956,3628957,5817527,3629082,2167490,1254471,713477,403063,403062,713475,1254468,2167486,254434501,2167504,2167505,3629108,3628903,3628902,5817454,8914502,8914503,13082092,8915101,8915019,5818028,3629326,3629327,5818031,8914716,5818058,3629346,2167658,1254559,713530,403090,225692,124199,124198,225687,403081,713514,1254530,2167600,3628974,3628973,5817434,3628886,2167364,1254406,713443,713442,1254402,2167358,3628867,5817407,8914476,5817367,5817366,8914473,5817820,3629174,3629176,5817824,8914714,8914713,5818016,5817666,3629063,3629062,5817664,8914623,5817478,5817479,8914625,254154622,5817354,3628840,2167338,2167337,3628837,5817348,8914451,13082037,17948597,12718644,8641960,254423733,2074135,2074134,254423731,8641958,12718640,17948593,24338834,31688764,31688763,24338828,17948587,17948588,24338830,31688770,36422979,36422978,32591022,24930208,18418932,18418931,24930203,31860946,31860947,32591120,254320852,254703380,22632548,30002164,26735006,19899973,14255577,14255578,19899976,14597091,10044079,6600552,4135121,4040077,4040075,5591543,3469002,2705295,1567714,1567719,2705322,3660327,3660324,5862903,8189980,8189984,10020080,6585777,4126171,4126168,6585722,7999189,5092162,5092164,7999202,11949925,8471005,5475637,5475635,8471020,9920658,9184384,6011298,6011293,9184404,6415745,4025095,4025094,6415740,9757388,14193673,19814978,18196477,18196475,14605106,14535798,10001217,10001215,11338957,7535160,7535158,11338949,16297019,22465220,29832349,24705458,24705459,23295365,268104596,22244951,16108023,14562566,10020745,10020744,14562564,10052196,10052197,14608703,20352320,21667496,254202422,30111050,30145887,30109992,22729345,22729342,22729393,16524013,16524016,18712021,19101916,13638122,13638119,14603190,14611195,20355139,20339765,14597709,11339273,11339275,7535423,4766725,2873427,1667673,948618,534806,534807,948576,948579,1667611,2873312,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,7660906,4846998,4846997,7660871,11516613,11532913,11532908,14965512,16523374,11515539,7660160,4846580,4846585,4846777,2920581,2920582,4846802,6603057,4136471,2474290,2474286,2473683,1429910,813472,461126,461127,813445,1429843,2473540,2696650,2696649,4488698,7130097,10792109,15600336,17334890,12209353,8240561,5312516,3262150,3262152,5312522,8240572,12209371,17334931,15067851,14607333,14607332,20343754,14601322,14601320,10051775,10051773,14608012,10784849,10050614,6604412,6604411,10050611,10275059,7536295,7536296,11340763,13311891,13311892,18705164,20346146,14603394,267822296,6603151,10048562,254593810,27281609,35407273,44832691,55740578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139961, s2 = 14846723, dlinesl.size( ) = 14 s1 = 10996963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14317834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14336914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10688445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10688445, s2 = 8043203, int(edited[s2]) = 0 s1 = 10688445, s2 = 8043203, d1 = 35, d2 = 25 Dl.O(d1) = 13146615,8960285,5848609,5848610,5848608,3649912,2182011,1264774,1264775,2182013,3649916 Dl.O(d2) = 255745442,33544577,33544578,42560989,41210366,32389094,24767762,24767764,27155270,28590049,21358677,15380910,10628950,10628949,15380907,21358671,27027714,27027713,21658751,21658752,24330681,24330679,24470103,19103134,13639154,9339769,9339770,10931548,10931550,15780235,21851061,24330661,18289700,12981794,8837078,5758687,5758688,8837083,12981805,18289714,24767753,27108730,24647210,24647209,26153338,26889336,27007868,27007869,33994972,257252365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10688445, s2 = 8043203, dlinesl.size( ) = 6 s1 = 14078140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12922802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15290309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15290309, s2 = 10855748, int(edited[s2]) = 0 s1 = 15290309, s2 = 10855748, d1 = 6, d2 = 5 Dl.O(d1) = 66869014,66869013,80298334,258413760,64395669,64395670,66869009,80298330,80298339,80298340,94354854,94354850,94354851,94354853,108642792,108642776,257797962,66869008,66869007,80298328,259040638,122907797,270525784,108642790,122907805,136739718,136739709,259040636,94354841,258413758,94354842,108642774,122907795,260283522,271590945,107072117,121368580,261445602,148384460,135217939,121368563,107072102,107072101,121368562,107072115,107072116,121368578,135217945,135217946,122907793,122907794,136739712,149881411,148384464,259667528,107072127,107072126,121368581,115672120,101631174,101631173,115672119,129558364,135217949,122907812,108642808,94354865,80298347,80298348,94354868,270525786,136739728,149881413,154462131,154278146,260878716,126111020,112254965,112254966,122907824,122907825,114395670,100372486,98275147,98275146,259518292,121375690,112084443,112084444,259267850,84228561,84228562,72821738,72821739,86416659,100372485,108642819,108642820,114395661,100372473,86416646,72821729,72821728,258641080,57881903,46525737,36658126,36658125,46525735,57881899,57956206,46579769 Dl.O(d2) = 36693507,46579772,57956210,70675073,84228518,70675016,70675015,84228517,98123951,98123983,84228591,70675095,57956245,57956246,70675097,70675059,57956199,57956197,257406248,57956182,57956183,70675050,57956256,46579822,46579821,57956253,70675101,70675068,70675067,60084531,57956238,46579804,36693533,36693532,46579792,36693524,28203430,21011574,15090906,15090905,21011570,28203424,36693513,46579779,57956190,57956189,57956187,57956185,70675054,84228559,84228596,70675099,57956249,46579812,46579799,36693529,28203434,28203435,28203440,36693539,256826898,46579761,256288574,28203447,28203448,36693546,46579826,57956258,258016562,84228587,84228550,84228549,70675090,70675089,70675083,57956221,46579782,36693516,28203427,28203428,36693519,36693511,36693510,46579776,46579756,36693497,36693496,46525669,36693467,36693466,268907290,46579818,36693542,28203444,21011580,15090913,10408148,10408147,15090910,21011576,28203438,36693535,46579765,49164225,49164224,57881840,46525671,36658071,256826897,57881843,70583281,84120226,70675042,57956178,57956177,57956260,46579830,36693552,28203451,21011587,15090918,15090919,255374126,36693501,28203417,21011567,21011568,255374122,21011553,28203393,23216082,23216083,28203376,21011540,15090885,10408134,6860866,6860865,6860874,254488946,15090915,255374124,36693550,39237419,39237420,36658076,28181585,20998971,20998972,28181589,36658082,46525686,57881858,46579730,36693445,36693446,46579733,48788330,39237427,30639329,23216089,255969795,39237430,49164237,46579759,39237455,39237453,36693461,36693459,36658101,28181612,21011551,16943878,11858687,11858688,16943882,21011561,15090896,10408142,6860869,4305826,2574590,2574591,4305828,6860870,254716356,21011546,28203383,36693452,29848384,22482823,22482824,29848385,38417126,46525693,256288567,28181590,20998974,20998976,28181592,36658084,46525690,57881860,46579739,36693478,36693479,28849765,28849766,37389689,44508278,35131642,35131641,44508277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15290309, s2 = 10855748, dlinesl.size( ) = 2 s1 = 15290309, s2 = 10855748, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15290309, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 10855747, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11183261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11183261, s2 = 13091467, int(edited[s2]) = 0 s1 = 11183261, s2 = 13091467, d1 = 20, d2 = 85 Dl.O(d1) = 72724300 Dl.O(d2) = 260855525 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11183261, s2 = 13091467, dlinesl.size( ) = 12 s1 = 11561287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461333, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11461333, s2 = 11407144, int(edited[s2]) = 0 s1 = 11461333, s2 = 11407144, d1 = 10, d2 = 14 Dl.O(d1) = 204342427 Dl.O(d2) = 263280560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11461333, s2 = 11407144, dlinesl.size( ) = 14 s1 = 14336994, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336994, s2 = 9662035, int(edited[s2]) = 0 s1 = 14336994, s2 = 9662035, d1 = 8, d2 = 7 Dl.O(d1) = 200449094,193295309,193295308,193295311,184960731,175416197,273334839,206491676,211486898,215569036,218942973 Dl.O(d2) = 159671751 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14336994, s2 = 9662035, dlinesl.size( ) = 2 s1 = 14336994, s2 = 9662035, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14336994, Dl.E( ) = 20, 2.31e-05 seconds used appending s1 = 14138879, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14138879, s2 = 740195, int(edited[s2]) = 0 s1 = 14138879, s2 = 740195, d1 = 41, d2 = 43 Dl.O(d1) = 264806403,207727697,201901148,194976672,186885957,177600416,177600415,263963624,186885954,194976679,201901161,201901165,263614533 Dl.O(d2) = 3237098,1899084,1083994,1083991,1899073,3237068,5284294,8213396,12182068,17304815,23619006,254759148,33203374,29438508,29438507,28855492,21582799,21582797,17304368,12181750,12181749,17304366,23618345,21582049,21582048,28854565,256346422,38000944,29437965,22104985,21582825,21582826,28855522,37396310,47305781,47917124,55700721,55700722,47917128,38001284,38001286,39825606,44594099,35213413,35213412,35213435,35213437,37395182,29728983,22372245,22372246,29728991,36937720,28438259,28438261,36937727,39779581,39779583,47306364,47305869,37396401,28855592,28855335,28855333,29437804,29437805,38000474,29437599,29437601,29438035,22105026,22105024,29438017,29437897,29437896,29437878,22105064,22105063,29438081,23617649,255160757,8213002,8213003,12181426,17303905,23617650,31102041,39780567,38000694,38000696,31102190,31102191,267901594,17303970,23617758,31100413,31100412,23617518,23617514,29778332,22413624,16249194,16249192,22413615,29778319,38350570,39782539,39782540,47916446,38000457,29437593,29437590,38000444,31101168,31101170,31101670,31101937,28283073,22413641,17303816,12181377,12181379,17303827,23617490,29778393,29778394,29778403,29778401,30732579,29437633,22104813,22104811,23616995,23616994,31100545,23616593,17303335,17303336,23616595,23617617,23617892,17304043,17304039,23617911,31102454,38449123,29892317,29892318,28071241,23617096,17303603,17303599,17050604,11961473,11961476,17050612,23313485,30731953,23617054,17303580,12181256,8212927,8212926,12181251,17303565,23617028,23313145,23313146,23617383,256502779,48538112,38623333,38623334,48538113,59931117,49256782,49256783,60657245,61278415,49799660,49799662,49256673,39330048,30731753,30731752,39330047,38022443,29460431,22125953,22125954,29460433,31871114,255487472,12723832,8645754,8645753,12723830,17955415,24347217,31871099,39407294,30802682,23375007,23375006,23617523,23617526,31101868,33206915,25459265,18859540,18859539,25459257,21675446,15637141,15637143,21675454,26634543,19822943,18860311,13437585,13437586,18860316,25460298,33205713,42162787,268663829,30802872,39407477,255997218,42162621,39407601,39407550,256219058,17105741,12019838,8079097,5174153,3155647,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746344,1307290,2252493,3760108,267931361 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14138879, s2 = 740195, dlinesl.size( ) = 14 s1 = 12872830, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12923368, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15847342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15847342, s2 = 6117408, int(edited[s2]) = 0 s1 = 15847342, s2 = 6117408, d1 = 21, d2 = 19 Dl.O(d1) = 246027492,246027493,246129341,246226523,246129343,246027494,267472614 Dl.O(d2) = 243876662,243876663,243876665,243876664,243617706,267169002,242725575,274937488,267134922,242385625,242018759,241620209,241188609,240722449,266815596,266815594,238450942,237751883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15847342, s2 = 6117408, dlinesl.size( ) = 2 s1 = 15847342, s2 = 6117408, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15847342, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 11639681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639681, s2 = 11540764, int(edited[s2]) = 0 s1 = 11639681, s2 = 11540764, d1 = 108, d2 = 102 Dl.O(d1) = 267558344,246592243,246592244 Dl.O(d2) = 232297291,233486165,233486167,234565497,234565493,233486162 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639681, s2 = 11540764, dlinesl.size( ) = 14 s1 = 11353463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11494097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11494097, s2 = 11353788, int(edited[s2]) = 0 s1 = 11494097, s2 = 11353788, d1 = 11, d2 = 2 Dl.O(d1) = 216139303,264182642 Dl.O(d2) = 179341189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11494097, s2 = 11353788, dlinesl.size( ) = 20 s1 = 14132747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14343692, s2 = 8921011, int(edited[s2]) = 0 s1 = 14343692, s2 = 8921011, d1 = 20, d2 = 39 Dl.O(d1) = 255489958,9355072,6127704,3833824,3833805 Dl.O(d2) = 237222378,237971419,238652128,239275768,239849306,240378917,240869959,241324553,241745713,274863350,241428707,240982035,240499261,239979029,239417647,238809559,238147670,237420971,236620834,235742849,234777751,233718313,232553571,274630129,229826386,228208044,226365101,224249147,224249148,226365097,226365096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14343692, s2 = 8921011, dlinesl.size( ) = 22 s1 = 11338713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11558401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11139459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139459, s2 = 11510790, int(edited[s2]) = 0 s1 = 11139459, s2 = 11510790, d1 = 1, d2 = 44 Dl.O(d1) = 57776055 Dl.O(d2) = 260477727,272817457,273317151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139459, s2 = 11510790, dlinesl.size( ) = 58 s1 = 11147005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11147005, s2 = 11005620, int(edited[s2]) = 0 s1 = 11147005, s2 = 11005620, d1 = 7, d2 = 18 Dl.O(d1) = 258739499 Dl.O(d2) = 270317011,255886038,255074508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11147005, s2 = 11005620, dlinesl.size( ) = 14 s1 = 11096501, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11481743, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481743, s2 = 7984924, int(edited[s2]) = 0 s1 = 11481743, s2 = 7984924, d1 = 43, d2 = 51 Dl.O(d1) = 207177477,264235220,263566366,166007130,164799064,152969847,140279678,260553529 Dl.O(d2) = 85584414,258110649,47865364,37947081,29382324,22052201,15948814,11067798,254522095,1619813,921241,921242,1619816,2792367,4635558,7338677,11067818,15948839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481743, s2 = 7984924, dlinesl.size( ) = 2 s1 = 11481743, s2 = 7984924, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11481743, Dl.E( ) = 56, 1.6e-05 seconds used appending s1 = 11261785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261785, s2 = 9342206, int(edited[s2]) = 0 s1 = 11261785, s2 = 9342206, d1 = 65, d2 = 2 Dl.O(d1) = 260089404,18797208,254919205,9154078,256638503 Dl.O(d2) = 31134122 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261785, s2 = 9342206, dlinesl.size( ) = 28 s1 = 11029137, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11029137, s2 = 7187775, int(edited[s2]) = 0 s1 = 11029137, s2 = 7187775, d1 = 14, d2 = 16 Dl.O(d1) = 255704265 Dl.O(d2) = 263767567 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11029137, s2 = 7187775, dlinesl.size( ) = 28 s1 = 12924656, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12924656, s2 = 11339920, int(edited[s2]) = 0 s1 = 12924656, s2 = 11339920, d1 = 8, d2 = 7 Dl.O(d1) = 99515105,113526514 Dl.O(d2) = 259442273 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12924656, s2 = 11339920, dlinesl.size( ) = 12 s1 = 11613083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613083, s2 = 6105222, int(edited[s2]) = 0 s1 = 11613083, s2 = 6105222, d1 = 58, d2 = 79 Dl.O(d1) = 267034828 Dl.O(d2) = 241764248,241344080,241344079,241344081,267148911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613083, s2 = 6105222, dlinesl.size( ) = 94 s1 = 15314505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15314505, s2 = 8536483, int(edited[s2]) = 0 s1 = 15314505, s2 = 8536483, d1 = 110, d2 = 25 Dl.O(d1) = 5503056,3392352,3392353,5503059,8501901,12541551,17726797,23682867,17362622,17362623,17729665,17729664,16004121,16004120,17801467,24168766,17801203,12601088,12601090,12237084,8262944,8262945,12237075,17369162,13496647,13496645,15487481,15487480,17802877,12602348,12602349,17789050,12590787,8613017,8613016,12681249,17901518,24282189,23779580,23779579,24092567,17734806,17734807,24092574,29450722,31663994,31568602,24062960,22974158,22974157,30375423,37986651,29424865,22094122,15986239,15986240,22094125,267740986,21493070,15487043,15487042,21493068,28752672,31603466,33214071,25466655,18866504,18866503,17789199,254608974,28070384,20899115,20899114,24156543,17789527,17789526,17369117,17361297,12231562,8259218,5328529,254128824,12231564,12233133,12233132,17363419,22182905,29525360,24152600,17785351,12587898,12587899,17785353,17769282,12574837,8528592,7731065,254090252,12591313,12591314,12280094,12280093,17422874,17422124,17422126,12583822,8540875,8540871,12588861,12586377,8538685,8538683,8613377,12681691,12681689,17741649,17741648,17738537,254410408,22796887,254419640,31586018,24080288,17723129,12538949,11567568,11567569,16587672,14373050,9898227,7196124,6489398,4066248,4066249,6489400,7194661,7194660,10880124,7844674,4979542,4979540,3007949,3007950,4979559,4062589,4062587,4500257,4062530,2431321,2431320,4062544,6483196,4873927,4873924,7201714,7204725,7204724,10811994,10811995,15625756,10812011,7144751,4498893,4498895,6504745,4076073,4076072,4077391,2439622,1410530,1410529,1407659,1407657,1747405,1747404,3008000,2431079,2431078,267817509,2435460,267946735,10839080,7165327,4747068,4747067,7509136,11310322,16267396,255912799,38373405,38373413,29801449,29801448,38373411,258141625,258141623,48284197,257481746,47625910,256952095,29801446,29801447,38373409,38373416,29801451,22435154,255093859,11310322,16267396 Dl.O(d2) = 140526781,140526782,273785452 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15314505, s2 = 8536483, dlinesl.size( ) = 72 s1 = 16266351, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15328806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15328806, s2 = 11526942, int(edited[s2]) = 0 s1 = 15328806, s2 = 11526942, d1 = 9, d2 = 59 Dl.O(d1) = 159359286 Dl.O(d2) = 197414368,203944386,274144359 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11106805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11473869, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10885106, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16368863, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14130672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14130672, s2 = 11466754, int(edited[s2]) = 0 s1 = 14130672, s2 = 11466754, d1 = 149, d2 = 133 Dl.O(d1) = 33657095,269099367,259069609,260313911,124379619,137966065,140008255,126653137,112794413,112794412,262180983,263561892,151332905,163232200,174098919,183781949,192269682,199581352,199581349,199581350,263455100,210883217,215061210,218500170,221392447,218500164,215061203,215061204,214886812,210673625,205516289,199282015,191914025,183349355,173552914,162519734,162519730,162519729,173552907,183349337,183349336,191914008,199281983,199281992,199281929,199281930,199281931,191913974,183349301,183349300,191913972,199281928,205516200,210673517,205516195,273828997,191913970,183349298,173552873,162519705,150389280,272091953,123615495,260991521,109421432,259159181,67640189,55301894,44457339,257310009,67640186,259159177,109421431,123615503,137348017,150389298,162519724,173552897,183349330,190195574,181392986,181392985,190195571,263818498,192269680,187165522,177895374,167401257,155769261,272605067,101947347,87975264,258266475,50117637,256527723,17585707,12412884,8389540,5413752,5413754,8389544,256022247,40097194,50117647,61597313,260127605,127178979,113319413,259341131,71781709,270310673,103400621,89311209,75555578,270447297,71781713,59039912,47637993,47637992,59039910,71781711,85371007,99315795,85371005,85371006,261687165,165026970,175758993,185271252,193569703,264485371 Dl.O(d2) = 175751279,263877565,206678632,211638033,212056788,264485374,263878200,206678628,263520404,215692439,215692436,211638026,263878184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14130672, s2 = 11466754, dlinesl.size( ) = 90 s1 = 12926614, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12926614, s2 = 11602816, int(edited[s2]) = 0 s1 = 12926614, s2 = 11602816, d1 = 6, d2 = 14 Dl.O(d1) = 239693241 Dl.O(d2) = 240953937 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12926614, s2 = 11602816, dlinesl.size( ) = 24 s1 = 15291974, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15291974, s2 = 10467339, int(edited[s2]) = 0 s1 = 15291974, s2 = 10467339, d1 = 25, d2 = 21 Dl.O(d1) = 266314084,238003210 Dl.O(d2) = 239217398,238590750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15291974, s2 = 10467339, dlinesl.size( ) = 22 s1 = 11400011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11400011, s2 = 7720049, int(edited[s2]) = 0 s1 = 11400011, s2 = 7720049, d1 = 28, d2 = 39 Dl.O(d1) = 261709544 Dl.O(d2) = 14515480,20228240,27134403,35228656,44609537,55457951,270140951,67799604,81267386,81267387,273647500,173667535,273501701,199368450,205595246 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11400011, s2 = 7720049, dlinesl.size( ) = 28 s1 = 12926794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180339, s2 = 6423459, int(edited[s2]) = 0 s1 = 11180339, s2 = 6423459, d1 = 20, d2 = 91 Dl.O(d1) = 59403816 Dl.O(d2) = 254516012,11251457,11251458,16186653,254163192,11115370,7372207,4657242,4657243,7372205,11115366,16010095,22124282,22165093,16042778,11139384,7388563,4667685,2811976,1631268,1631266,927672,927666,1631360,2812162,4668007,7340971,10737540,7094284,4466679,4466676,4633379,7334882,7334880,11062257,11057304,7331937,4631749,2790294,1618800,920762,519200,519203,920772,1618837,2790380,4631886,7332166,7339937,7339940,7340031,11069712,7340547,7340548,7339675,4636103,2792633,2791953,1619605,1619604,2791951,2793491,2793492,4637704,7342477,7342489,4667852,2812077,2812078,4667859,7340278,4636466,2792820,1621324,921942,921943,1621329,2795283,4641001,4640264,4640262,7333951,5953612,5953613,9099543,13319402,11065552,11065551,8967879,8967878,7347064,7347065,11069762,11069761,11069549,7339909,7339906,7346921,4640343,2794933,1621153,1621155,2791939,1619598,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230821,6230823,7332764,7338779,255071853,22052462,15957431,15957432,18885910 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180339, s2 = 6423459, dlinesl.size( ) = 18 s1 = 11273727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11273727, s2 = 13583772, int(edited[s2]) = 0 s1 = 11273727, s2 = 13583772, d1 = 28, d2 = 3 Dl.O(d1) = 98797610,84869261,71295039,71295040,84869265,71295041,71295042,256910296,85475188,71890963,59153454,47754834,47754833,59153452,71890961,256910300,113417160,106832598,270313170,134893255,259967264,121091840,106832597,260708553,115801828 Dl.O(d2) = 61382749,256550056,39881004,49902102,39896824,31220014,23736228,23713307,17389569,17389568,23713306,31201000,39881008,49902104,49902105,39881009,31220000,31220001,39896805,39896826,31220016,256511393,31220005,31220004,39896811,49916566,39896799,31219994,31219993,268992805,257267382,39896803,49916569,61396727,269869599,258479510,49916568,258249757,87781715,101755170,115801813,261281745,152699718,143032303,143032302,152699719,152699731,140002905,126648129,112789991,260534219,112789982,98797703,84869355,259313617,112789979 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11273727, s2 = 13583772, dlinesl.size( ) = 2 s1 = 11273727, s2 = 13583772, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11273727, Dl.E( ) = 32, 8.11e-06 seconds used appending s1 = 10557227, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10557227, s2 = 2418781, int(edited[s2]) = 0 s1 = 10557227, s2 = 2418781, d1 = 17, d2 = 12 Dl.O(d1) = 109867179,109867180,124006236,137687526,133628932,133628931 Dl.O(d2) = 66838988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10557227, s2 = 2418781, dlinesl.size( ) = 26 s1 = 11114449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114449, s2 = 14345977, int(edited[s2]) = 0 s1 = 11114449, s2 = 14345977, d1 = 35, d2 = 67 Dl.O(d1) = 255583370,85596204 Dl.O(d2) = 193719833,262829870,263985970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114449, s2 = 14345977, dlinesl.size( ) = 62 s1 = 11152651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11152651, s2 = 11311525, int(edited[s2]) = 0 s1 = 11152651, s2 = 11311525, d1 = 66, d2 = 68 Dl.O(d1) = 260065245,128809117,272230236,142474348,142474347 Dl.O(d2) = 263602218,177364356,262754978,155119216,142474348,260678808,259463412,17099427,12013465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11152651, s2 = 11311525, dlinesl.size( ) = 44 s1 = 11446711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11446711, s2 = 11495706, int(edited[s2]) = 0 s1 = 11446711, s2 = 11495706, d1 = 38, d2 = 42 Dl.O(d1) = 198840892,274163751 Dl.O(d2) = 266390781,266354984,208587930 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11446711, s2 = 11495706, dlinesl.size( ) = 46 s1 = 11535893, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11375613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11610693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11610693, s2 = 11610346, int(edited[s2]) = 0 s1 = 11610693, s2 = 11610346, d1 = 33, d2 = 24 Dl.O(d1) = 267264759 Dl.O(d2) = 267102708 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11610693, s2 = 11610346, dlinesl.size( ) = 28 s1 = 10908282, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14337826, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14337826, s2 = 3534993, int(edited[s2]) = 0 s1 = 14337826, s2 = 3534993, d1 = 174, d2 = 127 Dl.O(d1) = 263511579,200501309,206538648,211527999,215604809,215604813,215604812,218974234 Dl.O(d2) = 261364208,118022819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14337826, s2 = 3534993, dlinesl.size( ) = 56 s1 = 12927704, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12928252, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12928536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14121738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14121738, s2 = 10983558, int(edited[s2]) = 0 s1 = 14121738, s2 = 10983558, d1 = 34, d2 = 32 Dl.O(d1) = 272160304,123938520,123938522,137616951,150613333,140354833 Dl.O(d2) = 150613334,140354830,127001074,258681308,270305487,21807440,267787096,2731854,2731855,267787098,10905578,15746190,21807443,25790585,19145573,254937155,1333549,761581,433244,430727,243123,134385,73044,73039,73359,39717,39712,73362,134916,244159,432321,760196,1331288,769868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14121738, s2 = 10983558, dlinesl.size( ) = 38 s1 = 10840666, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10594359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10594359, s2 = 12591292, int(edited[s2]) = 0 s1 = 10594359, s2 = 12591292, d1 = 65, d2 = 44 Dl.O(d1) = 254178136,8001256,7959311,7959312,8003521,7944191,5052205,3060866,1784307,1784310,3060871,5052214,7944208,11882905,11901359,7959498,5062980,3067663,1788281,1788282,3067666,3067500,1788200,1788199,1019595,1019594,1788205,3067510,3067572,3067571,5062804,7439750,4700966,4700969,2832179,2832177,4701003,4701091,4701095,7192377,10878775,8991733,8991730,11947767,11878647,11878645,16966712,16966711,11888400,7948388,7948387,10450756,15153530,21096164,254385022,11877379,11877380,11993953,8045717,8045720,7795421,7795418,11689028,7952598,5058039,3064428,3064427,5057995,5057947,5057944,7945516,5053001,5053002,7796920,7796918,11690772 Dl.O(d2) = 73296502,84976069,269787209,47275896,47275897,58667506,269368834,37365891,256878039,257595682,58667502,58667501,71402040,258203392,258189827,60362054,71402029 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032049, s2 = 15290123, int(edited[s2]) = 0 s1 = 11032049, s2 = 15290123, d1 = 5, d2 = 11 Dl.O(d1) = 255325452,28078401,22156462,16035583,16035584,16034964,11133733,7384997,4665546,2810822,1630688,927330,927331,1630690,2810831,4665569,4387140,4387142 Dl.O(d2) = 7359778,11097509,8029358,5118450,3109142,3109143,254256613,1823494,3108036,5116885,5112474,4679226,2819055,1635484,930030,930027,1635466,2819020,4679162,5101012,8012561,5139832,5101662,5101663,5177785,5152636,5152637,5145492,5145491,7523621,5102109,3097006,1809582,1033552,582459,582456,1033540,1809560,3097032,3127983,5113231,5113233,5176663,4759505,4759502,3109164,1816853,1816852,3109174,2868628,1664893,947155,947154,1664888,1664906,2868659,4759226,7525694,254822479,7527490,5123527,254256231,1042145,1042144,1825659,1830651,1044787,1044793,1830632,1830631,1866760,1064856,598503,598508,333690,333686,333696,333699,598942,1065592,1868028,3191673,3103925,3103928,1824827,1824831,3122145,1842275,1838147,1838149,1053420,1053419,1845952,1837733,1837734,3142234,5158775,5177495,3158695,1848945,1823604,1040936,586139,327357,327359,586145,329133,329134,589945,1048598,1837505,3141822,3141823,5133752,5109500,3102440,1812691,1812689,3102431,4680141,2819722,1635852,930206,524307,293820,162494,162496,293828,524317,930221,1635881,1635972,1635973,2819704,2819705,3108672,1816571,1816570,1848447,3157911,5107008,3104106,1843687,1843691,3151262,5106165,5110466,8021637,5178269,3159429,3159430,5178272,8056109,5148562,3133124,1831705,1831707,3133126,5148565,3191194,1867686,1867685,3191192,5125732,3114778,254382269,8035882,8048584,8048583,254816742,5139651,5139652,3141344,1837137,1837133,3141346,3188369,3152082,3141919,3141921,5104086,5104271,3149159,1842326,1051334,591309,561899,314641,314636,561873,590138,1048999,1838164,1845852,1054641,1054639,1848004,1809173,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,8057303,5158920,5158923,3151057,1843545,1832524,1832521,3134360,5149920,5124760,3113984,1819714,1819713,3113982,5124756,8035014,8058848,5150787,3135111,1843327,1843329,3150698,5168525,254825451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032049, s2 = 15290123, dlinesl.size( ) = 8 s1 = 11055739, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11055739, s2 = 10760423, int(edited[s2]) = 0 s1 = 11055739, s2 = 10760423, d1 = 56, d2 = 77 Dl.O(d1) = 21504023,15496269,10716794,7080334,4457764,2677978,1551207,1551208,2677979,4457766,7080337,10716741,10716870,10716869,7080493,7080494,10717042,10716450,10716449,10717148,10716686,254736715,4457593,2677884,2677883,2678184,1551314,881948,497674,254085183,154012,279095,497677,881954,1551327,2678207,4458178,7081039,10717798,7080955,267964949,15497849,10717895,10717896,255093182 Dl.O(d2) = 17900083,255261646,15292917,15292916,10696019,7066274,4449051,4449048,7066306,10696095,15468911,17964595,12730562,12730560,17964580,17964579,14917896,14917898,20813927,25459929,18860047,18860049,22143919,21677949,15638904,10822115,10822117,15638913,21677958,20104538,14414767,9913807,6515136,4082216,4082213,6515143,9913841,14414818,20104618,23597484,23597483,18036140,14918008,10258102,6740843,6740842,10258099,11386061,255097331,22535173,256956075,257200186,64399075,64399076,62684501,255843778,36436052,27977333,268073430,37293696,37293695,47201723,39331293,30733050,256112866,39159699,39159700,30733032,23314067,17051025,17050939,17050936,23313947,30732892,256478825,255530027,11962581,8007744,8007745,11962588,11962568,11962570,17052463,23316141,30735326,30735528,30735508,30735507,39330753,32040453,30735480,24476337,18054894,18054891,23314736,17051438,17051440,23313304,17051378,11961888,8007371,5097552,5097553,8007361,7635732,4830687,4830688,7635739,11480558,16477448,17051178,23314316,30733312,30733508,23314485,23314487,30733517,23314972,17051615,11962036,8007447,8007445,11962030,17051609,23314964,23315998,30735145,39332611,30734781,30734780,39332622,38043281,29480062,22142530,16024712,16024711,22142526,29480057,255471158,22405990,29769198,23315049,23313456,17050596,11961470,11961469,17050593,23313453,23315043,23314917,17051578,11962009,11962008,17051576,23314912,30733989,30734027,30734028,39332061,49257674,256478665,23314444,17051248,11961807,8007331,8007330,11961803,8007642,8007594,5097662,3094155,1807883,1807884,3094158,5097669,8007612,255143659,17050832,11961590,8007223,8007224,11961597,11961570,11961569,16024797,11126414,11126412,16024787,20222512,17050776,16024860,16024862,17050510,17050509,22142356,22652968,16461065,16461063,22652958,22652973,30026156,34692623,30731733,30731732,37909573,29340573,22327248,16181392,11247475,7466002,4718085,2842392,2842391,4718076,7465984,11247437,16181316,22327097,22327309,17050413,11961372,8007130,8007132,11961381,17050434,17051973,17051974,22143241,22143242,29480532,22142896,16024917,11126471,7379995,7379998,11126481,16024941,22142937,29480578,38043492,38043493,29481019,29481016,29480707,29480708,23312833,23312832,22653032,22653030,30026237,37909522,29340522,22008822,15907507,11028881,7303266,7303269,11028888,15907516,22008847,22327330,25461874,25461878,18861667,13438555,13438553,18861662,22143213,16025117,11126571,11126574,15143736,15143740,21082748,16025157,11126596,11126598,15559565,15559564,21583939,28856885,29480351,37909711,29340697,29340699,22009113,15907695,15907698,16025036,11126534,7380029,4662425,4662428,7380040,11126553,16025074,22143147,26019563 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11055739, s2 = 10760423, dlinesl.size( ) = 48 s1 = 11042759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042759, s2 = 14054519, int(edited[s2]) = 0 s1 = 11042759, s2 = 14054519, d1 = 34, d2 = 69 Dl.O(d1) = 257668183 Dl.O(d2) = 25200600,25200601,255214176,30731813,30731815,30802587,30802588,33208196,39780326,39331965,39331964,42167126,33206961,33206960,33206952,33206716,25459090,25459089,33206713,42166894,42167773,33207786,33207787,39330600,39780143,31101569,31101567,39780137,33208107,33206853,25459226,18859522,13437121,9186885,6012732,6012731,9186881,13437110,18859503,23617235,25460373,31101366,31101367,25460154,18860201,13437515,9187093,9187089,13437491,18856509,25455367,23374951,17105545,12019700,8079011,8079010,12019697,17105533,23374933,18857023,13435362,13435360,18857012,25456002,25455184,21675470,15637155,10821002,9913793,9913795,14414739,13437083,9186865,6012877,3760520,3760521,6012880,9187135,13435297,18856894,13437287,9186987,9186990,6884033,6884031,10442375,13435273,9185630,9185629,13435263,18856836,25455788,33202648,26606854,25455333,18856477,13435094,9185527,6011899,5174171,3155655,1846741,1846739,3155645,5174115,5174112,8079043,12019759,17105625,23375064,21077834,21077836,18856390,13434947,9185407,6011839,3760011,2252443,2252444,3760014,2252655,1307303,746343,746346,1307282,2252524,3760228,6012320,255261717,25457249,33204422,42164569,52522956,42164573,33204425,25457250,25457249,33204422,42164569,52522956,42164571,33204423,33204422,42164569,42164570,33204423,33204422,269844117,39325373,36594231,28121118,28121119,36594233,46460490,49717315,48752981,47792630,37868077,37868076,39509299,30901571,30901572,39509300,49440449,60842186,70411632,70411631,58191685,46825621,46825620,58191683,255432132,46530283,36662894,36662895,37868084,47792640,59192850,59880385,59880384,269864543,39783637,31104750,31104749,36662867,28186057,28186056,36662865,37951815,37951816,47869875,40063701,31380898,23883895,17537405,254852069,5394775,5394778,8358136,12369283,17537425,21706382,15664623,10843788,7168472,4514819,2712786,1571464,1571467,2712796,4514843,7168533,10842074,10842073,15661915,21702684,15663324,15663326,15663590,10843107,7168074,4514597,2712670,1571403,893424,504086,504085,893417,1571387,2712649,4514558,7168005,9119327,5966991,5966990,9119323,10842964,7167985,7167984,10842957,15663369,10976001,10976000,15663022,11591294,10789460,10789459,11814067,16884598,23144703,28990459,21706359,15664611,10843782,7168466,7168468,7168518,10843874,10843884,15662810,10842654,10842657,10842975,15662803,10843516,10843514,15663329,15662935,10842768,7167876,4514491,2712615,1571365,893407,893408,1571371,2712624,4514503,7167889,10842755,13346027,9119313,9119314,13346034,10842951,7167979,7167980,10842624,15662761,21703858,21925111,28902187,21627569,15596691,15596689,16884589,23144691,28876046,21704749,21704748,21706328,15664605,15664593,15664594,15664732,15664749,15662820,10842663,7167816,7167817,7167989,10842971,15662800,10843090,10843089,10842720,10842719,10842751,7167862,4514480,2712608,2712600,2712599,4514456,7167804,7167884,10842783,15663006,18746091,13346016,13346017,18746097,15663345,15662772,10842629,10842630,15662780,21703891,28987382,37441835,28902174,21627561,21627562,28902179,28988748,28987547,21704008,21704007,28987543,28990433,21706333,21706334,21704030,15662860,10842683,7167827,4514465,4514466,7167833,10842690,15662887,15663557,15663558,21703955,21703954,15663000,10842744,10842743,10842712,10842618,7167796,7167797,10842638,10842775,15663033,21704260,21704264,18746080,18746081,25325028,28988452,28987356,21703865,21703866,21703881,28987370,37532181,47348630,37441827,28902168,28902166,37441817,37532341,28987536,21704002,21704003,28987540,37532349,28987571,28987572,23161232,21704024,21704022,21703935,15662826,15662827,15662868,21704048,28987600,28988752,28988750,37532221,28987762,21704216,15662989,15662990,21704118,21704116,256348069,28987391,37532199,47440337,58826906,47440673,37532566,37532567,47440676,269790766,37532370,28987558,28987556,37532367,47440528,58827008,58826964,58826965,58736352,49023230,47440474,37532328,37532327,47440470,47440459,37532316,28987520,255421271,15662846,21703993,28987432,28987431,37532239,37532240,30747519,23326012,23325994,23325991,23325999,30747492,37532375,37532374,39347175,39347176,37532444,28987635,28987636,37532450,47440344,47440343,42697861,42697860,53148480,49106308,39175979,30578242,30578244,39175986,39176509,39176510,39176548,30578651,30578650,39176071,30578301,30578302,30498473,23085171,23085170,30498466,30578391,30578392,39176187,39176105,30578332,23161333,23161334,30578324,39176095,30578546,30578427,23161376,23161375,23326084,17060113,11968247,8011824,5100446,5100444,8011814,11968234,17060089,23326045,30747566,30747571,39347170,39347387,30747767,30747766,39347382,49273503,60673807,60510600,60510482,52384715,49273288,49273287,39347372,30747759,30747760,30578683,23161539,23161540,30578689,23325983,17060050,11968220,11968221,17060057,16899955,16899954,23161491,30578602,25325057,23326156,23161514,23161516,23161408,16899906,11826969,11826970,16899912,17060155,11968270,8011835,5100453,5100454,8011839,11968277,17060175,23326197,30747708,30747711,39176427,30578577,30578578,39176431,49106732,60510586,49273521,49273388,47441196,47441198,49106367,39176021,30578264,30578263,39176015,40227889,31541500,24038298,24038297,30747441,23325968,17060043,17060042,23325963,30578590,30578591,39176465,39176477,33053607,30747729,30747732,30578721,30578474,23161401,23161400,30578468,30578487,23326116,17060125,11968255,8011827,8011828,11968259,17060131,23326131,30747686,30747722,30747720,38074189,29509921,29509923,38074198,39347344,39347343,49273469,47441206,37533288,37533290,47441214,49106347,39176007,39176006,49106342,49273415,49273418,40227902,40227903,39347052,30747432,30747412,30747413,30747421,39347045,31814792,24299277,24299278,31814797,40510811,47438890,39347212,39176260,30578462,30578463,39176264,30785282,30747647,23326105,23326106,30747623,23326119,23326120,30747671,30747677,39347275,30747715,30747716,39347330,47441720,39176446,39176445,47441711,58827442,47441231,37533298,28988519,28988521,28988929,37533549,28988792,28988787,28988797,37533563,47441475,39394142,30791610,30791605,30791604,31326129,31326130,40003991,31814825,24299295,17916481,17916480,24299288,28986149,28986148,29472978,38035709,37533596,28988817,28988816,37533590,46399324,40510788,31814782,31814779,29244992,21925173,15839118,15839119,21925179,29245000,37809468,47441726,37533811,31559389,28989015,28989014,37533768,28988961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042759, s2 = 14054519, dlinesl.size( ) = 60 s1 = 11070755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15444444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14338182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14338182, s2 = 15444443, int(edited[s2]) = 0 s1 = 14338182, s2 = 15444443, d1 = 2, d2 = 11 Dl.O(d1) = 254362654,22715402,16511057,12505376,268428413,12047373,12047372,17142018,23417092,17141207,254125942,22715399,30097200,38674672,38674757,254125962,16511100 Dl.O(d2) = 7654210,7654213,11506263,16511105,22715465,30097279,38674764,48591258,59983201,59983202,72720788,60777748,254827370,30843603,23413719,17138210,254573642,8097097,12044345,255536019,30843598,39447921,49376281,60777728,73525916,87144950,73525897,60777709,60777710,60777724,60777723,73525911,87144958,258803470,258788408,60782457,73530161,269375090,59020416,59020415,258037557,46857978,258037559,257548339,22641100,22641101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14338182, s2 = 15444443, dlinesl.size( ) = 2 s1 = 14338182, s2 = 15444443, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14338182, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 11080797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11080797, s2 = 13978914, int(edited[s2]) = 0 s1 = 11080797, s2 = 13978914, d1 = 35, d2 = 59 Dl.O(d1) = 256130136,58322818 Dl.O(d2) = 184725554,264176461,264959349,218820531,221679934,224135267,265792258,265476856,218820533,264360310,206326822,273926634,274046365,170928095,262534258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11080797, s2 = 13978914, dlinesl.size( ) = 30 s1 = 12429414, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11170001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12930026, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11613867, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11613867, s2 = 11473952, int(edited[s2]) = 0 s1 = 11613867, s2 = 11473952, d1 = 32, d2 = 24 Dl.O(d1) = 267023796 Dl.O(d2) = 265085716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11613867, s2 = 11473952, dlinesl.size( ) = 48 s1 = 16376989, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16376989, s2 = 14172291, int(edited[s2]) = 0 s1 = 16376989, s2 = 14172291, d1 = 34, d2 = 33 Dl.O(d1) = 16962975,18822927,13410511,9168944,6001141,6001140,9168942,12154234,11940560,11918854,7973493,5073861,5073860,7162210,10834915,15153363,15153364,17016050,11934174,7986702,5083047,5073604,3082976,3082977,5083121,7986832,5164123,3146870,1840830,1050509,1050508,1840825,3146893,5164169,8069957,254567814,15153547,21096173,21775915,23241174,22283935,17039451,17039450,12154329,12154328,12576855,267914527,3414178,2015144,1152654,646608,646607,1152653,2015143,3414174,5528269,254864941,8486612,12524813,12576853,8530213,8530212,7364739,5487509,3378267,1988759,1136324,637549,354066,354065,637543,1136308,1988732,267846703,8486603,11011738,15885269,21980535,29307943,37876601,255565208,71939547,64137390,52285394,51028988,47800440,37876598,37876599,41749706,41749705,50298974,50298975,50061859,50061860,61540020,61540019,59946687,48554555,38639770,255117814,47800479,255500452,30065203,22687025,22687024,30065201,38639785,48554573,46699631,46699632,47800467,255565204,41736592,48554582,59946697,255117810,38639779,38639778,40278550,31594217,24090821,17733351,12546772,8506017,5506443,3395141,2001210,1143862,641616,356103,195138,195139,356111,641633,1143894,2001263,3395211,5506512,5497638,5497637,8494764,8531658,8531657,11821720,8609446,7899333,7899334,8613262,5598599,5504404,3393221,1999770,1999771,3393223,2014603,2014602,255194015,24112563,31617842,40306166,49034766,39105197,39105196,40306163,31617840,28478419,21259922,15296105,15296104,15303712,15266511,15266514,15303465,10567621,10567622,15303469,13534065,9263968,9263966,13534064,15265291,13522882,9254367,9254366,13522890,15297162,10561725,10561724,254927673,6063328,3793639,3793638,6063322,4367313,2616822,1510986,856839,483881,272247,272246,483871,856813,1510938,2616727,2623766,2623765,1983062,1513528,857960,484347,484348,857964,1513546,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059203,6060494,9253686,10700250,10700245,9247513,9247516,6056424,3789686,3789683,6054951,6054949,6059944,6059942,9246482,9246485,12052500,10700683,10700681,13514090,17577906,12406042,9246452,9246454,12406074,17577938,18965742,18954800,18954801,21476493,15473921,15473922,10797802,7134406,4491698,2698619,1563328,1563329,2698622,4491705,7134425,10797823,15607271,21638932,255567416,47358916,58746069,257654760,98972145,261121959,140165741,261294150,164694762,175452023,184995147,193328631,263628634,206520165,264286822,274119382,265705299 Dl.O(d2) = 31319777,23829765,17491635,12333010,8331409,5377112,3306447,3306446,5377110,7672275,7672276,11532700,255492473,13308607,254643431,3718810,3718812,5946626,6751038,4259741,2546570,1467067,830047,830048,1467070,2546574,1467110,830070,468318,263399,145880,254073849,43961,80224,145882,263404,468328,830096,1467172,267821693,6794276,10325350,6812554,6812553,10347044,10286368,6784671,4253198,4237579,2533618,1460022,826468,826470,826498,466644,466647,826565,1460194,2533922,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238151,4238150,6762735,6774642,4246421,4246420,6774641,10302481,13284470,9067781,5930620,3708238,2220707,2220708,2537366,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,6786487,4254409,4254411,6786495,6824341,10281794,10360591,6824210,6824214,8334904,8334905,9089074,6784194,4252903,4252904,6784200,5212813,3180312,3180313,5212636,5212637,5941001,5941000,5950262,4247543,2539454,1463200,1463199,2539449,4247535,4280229,2559113,1473965,1473963,2559108,4280219,6822887,5213060,3180451,3180452,5213067,8136500,9071677,5932211,3709232,3709233,5932215,4290827,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882358,1551937,2679268,4459995,7083974,9784609,14233580,19866678,26685326,34679138,43953915,257890233,66956634,80386130,94444872,108736858,123004134,136833246,133585821,119711469,105472299,91250224,77330536,64183206,52333001,41993756,33050326,255583640,13342904,9116378,9116381,13342910,11506848,11506847,255932111,30810079,255082492,12024597,12024599,17111211,13500621,9236755,9236753,13500619,18936124,24466800,18860788,18860789,25460864,24930176,18418905,18201026,12910022,8782242,5719802,5719803,8782243,12910023,18201027,256075399,32260914,41055395,51212746,46275627,36422981,36422982,46275629,57620064,63947888,269292798,72091638,70311635,70311634,72677501,72677500,70312157,57621770,57621771,70312158,76594466,63515223,51737402,51737401,63515221,76594463,70950009,58232818,58232819,60549385,73292506,77062512,63948188,52127265,41811515,41811514,52127263,63948184,77062507,90945807,77062514,63948190,63948189,76594119 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16376989, s2 = 14172291, dlinesl.size( ) = 18 s1 = 11492993, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11492993, s2 = 7361767, int(edited[s2]) = 0 s1 = 11492993, s2 = 7361767, d1 = 66, d2 = 70 Dl.O(d1) = 264274018,264805532 Dl.O(d2) = 265849578 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11492993, s2 = 7361767, dlinesl.size( ) = 28 s1 = 11518841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11518841, s2 = 14281107, int(edited[s2]) = 0 s1 = 11518841, s2 = 14281107, d1 = 34, d2 = 1 Dl.O(d1) = 265639841,274535981,232008411 Dl.O(d2) = 201675067,262805748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11518841, s2 = 14281107, dlinesl.size( ) = 42 s1 = 11370833, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11552609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10911139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16390774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315164, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14338458, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11638093, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638093, s2 = 384457, int(edited[s2]) = 0 s1 = 11638093, s2 = 384457, d1 = 69, d2 = 136 Dl.O(d1) = 246584891 Dl.O(d2) = 43393492,257269857,26417354,19680902,14109312,9705517,6384007 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638093, s2 = 384457, dlinesl.size( ) = 78 s1 = 11238613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11238613, s2 = 8347698, int(edited[s2]) = 0 s1 = 11238613, s2 = 8347698, d1 = 139, d2 = 114 Dl.O(d1) = 271753491,57761851,70457055,83985002,71190254,58468326,258439554,44625725,55475692,256757431,27145319,20236249,14520983,14520984,10669217,7046580,7046579,255403233,28672476,37194676,38583122,30010949,256967385,59892047,258983868,22639604,30010858,38583029,37063110,28561791,21335291,21335292,24744779,32361169,32465668,32465667,41310830,40497589,31802558,24288215,17906850,17906848,269888321,273587779,274346290,274480233,233015252,234139518 Dl.O(d2) = 259952962,258708354,88329659,256895206,50418124,40383742,31690255,257095503,61908526,74701966,259535442,36534938,39098372,33216800,25470054,21069008,21069009,28271865,30502380,23088512,16834774,16834775,16475531,16475535,22671486,29320773,28808067,28808069,25736357,23026924,19466983,13931943,13931938,19038125,21991143,21991141,28374137,21157020,21157019,25898118,28160121,33628927,255272154,26159729,34001437,42778650,42778651,39969645,39969644,49985716,52716440,42329311,33347903,25587710,25587712,25587874,25587873,33348132,42329564,39535036,39535035,33347885,25587698,25587699,30923776,23486063,23486064,30698141,23282605,23282604,30698140,39295739,30923739,28414705,21192944,15229596,10505647,10505646,15229595,21192943,28414702,30923748,30923747,30924007,23486243,17202433,17202432,18978434,13542305,9270728,9270727,13542303,18978429,22239721,29587685,36705264,36705260,254918812,57968454,256122392,52401132,259657677,64378406,64378405,77546670,91478038,105702602,119938123,133806165,133806164,263347375,264057713,209427869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11238613, s2 = 8347698, dlinesl.size( ) = 124 s1 = 12931084, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14321098, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11529265, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529265, s2 = 10674671, int(edited[s2]) = 0 s1 = 11529265, s2 = 10674671, d1 = 18, d2 = 28 Dl.O(d1) = 223742098,265135738,214857303,264418710 Dl.O(d2) = 264418710,263796448,162456270,150320470,260985678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529265, s2 = 10674671, dlinesl.size( ) = 44 s1 = 11196731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12931828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14338757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14338757, s2 = 11623542, int(edited[s2]) = 0 s1 = 14338757, s2 = 11623542, d1 = 1, d2 = 38 Dl.O(d1) = 74525931 Dl.O(d2) = 244190452,244408405 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14338757, s2 = 11623542, dlinesl.size( ) = 14 s1 = 15315370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11195115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11195115, s2 = 11479424, int(edited[s2]) = 0 s1 = 11195115, s2 = 11479424, d1 = 0, d2 = 23 Dl.O(d1) = 76934035 Dl.O(d2) = 263325901 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11195115, s2 = 11479424, dlinesl.size( ) = 32 s1 = 15002122, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14031283, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14031283, s2 = 10660950, int(edited[s2]) = 0 s1 = 14031283, s2 = 10660950, d1 = 9, d2 = 4 Dl.O(d1) = 10989097,7274465,7274464,10989096,13045879,8886470,5796162,5796164,8886447,13045822,8886470,5796162,5796164,8886447,13045822,8886470,5796162,5796164,8886447,13045822,8886470,5796162 Dl.O(d2) = 8886470,5796162,5796164,8886447,13045822,8886470,5796162,5695055,3543386,3543387,5695056,8747221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14031283, s2 = 10660950, dlinesl.size( ) = 10 s1 = 10998793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10998793, s2 = 11090406, int(edited[s2]) = 0 s1 = 10998793, s2 = 11090406, d1 = 15, d2 = 20 Dl.O(d1) = 5583977,3464457,254193607,661916,367011,367010,661913,1178770,2054539,2562528,1475662,1475661,2562526,4286170,6831741,10369468,11614379,11614378,16646415 Dl.O(d2) = 254302725,756438,429881,429880,756436,1325402,2284920,1325404,1325403,254449813,9306856,255274099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10998793, s2 = 11090406, dlinesl.size( ) = 28 s1 = 11186667, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11186667, s2 = 11575630, int(edited[s2]) = 0 s1 = 11186667, s2 = 11575630, d1 = 59, d2 = 77 Dl.O(d1) = 255875866 Dl.O(d2) = 234823637,266327368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11186667, s2 = 11575630, dlinesl.size( ) = 58 s1 = 16369680, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655099, s2 = 8035514, int(edited[s2]) = 0 s1 = 11655099, s2 = 8035514, d1 = 20, d2 = 0 Dl.O(d1) = 87161574 Dl.O(d2) = 39466953,30862967,255166584,16719113,15436316,10671524,10671522,7901658,5022784,4380977,4380973,6973757,10572773,8276802,6063604,3793810,2272456,1510107,856435,856431,1510093,2615033,4363756,6943723,10528536,11394772,11394769,12068063,12068061,10544527,6954055,4369430,4369431,6954045,10544509,9251217,6058854,6058855,9251219,10549340,6957426,4371302,2618762,2618761,4371300,254726031,268204601,28470429,36472721,28012333,20846612,14946199,10280416,6756621,6756624,10280405,14946144,10280394,9868032,6482301,4061987,2431037,2431038,4061990,2432116,1406747,1406745,2432094,4063990,6485587,6494196,6494195,9884145,14355904,14355905,9864207,9864211,14356312,20040653,26926010,35007792,37627159,37627160,44385309,44385310,36882585,28386043,21167819,21167818,28386040,36882580,34979318,26899926,26225604,19510795,19510793,26225596,29422265,30058212,22681423,22681422,26950904,20066310,14382229,14382230,14382209,14382145,9887735,9887734,14382140,15724575,21783538,26900093,20017839,14336857,9848996,9848995,14336852,254687886,254747624,23033029,17045763,17045760,23307012,30724692,39322557,46483822,36617402,30724319,23306654,17045460,11957862,8004893,5096122,3093279,3093277,5096114,8004875,11568588,11568591,16588782,13093523,13093524,13379252,13379250,18784702,18450556,16482712,11570603,11570602,16590968,17104604,17104605,23373682,30801066,39405674,38822365,30239112,28353579,22213084,22213086,28182859,30239055,25549073,18936586,18936585,25549066,20999996,15084295,15084294,20999991,26654842,26654861,19841130,19841128,26654851,34167698,34167699,30244427,30244426,30239221,22845950,22845949,22846286,22845920,16622534,11594893,7718554,4885419,4885422,7718560,11594905,16622548,22213271,255009942 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655099, s2 = 8035514, dlinesl.size( ) = 22 s1 = 14020065, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12933590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11196951, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10927940, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10927940, s2 = 10343984, int(edited[s2]) = 0 s1 = 10927940, s2 = 10343984, d1 = 25, d2 = 49 Dl.O(d1) = 255042374,255042372,255844874,47645493,37723472,37723471,37724135,37724136,42186626,33226406,25478059,25478058,33226403,33226519,33226520,29163236,29163238,37723148,29163404,21854741,15783375,10934186,7234591,4560652,2742597,1589446,1589447,2742598,4560654,7233688,7234577,7234576,10934163,15783345,21854704,29163368,25477997,25477998,254515830,17172256,17172257 Dl.O(d2) = 254431182,1369850,1369848,780415,780417,1344211,1344208,1356722,2341487,2340820,2340819,3909380,6219664,9484960,13829279,19338005,26012338,28963517,37506933,44345908,44345909,41696317,32779958,25082628,255242321,13172540,18538736,13702573,13702574,13725556,13730886,9406357,9406358,13730888,19221897,268306595,37124768,255399830,4120898,2465117,1425020,877469,865826,491040,275565,152301,152296,275540,490322,869380,1532314,2650208,4418156,7024613,10640440,15395717,255124407,6840056,254325771,835332,835331,1477498,2565943,4291785,6840035,5585216,3465164,3465163,5585211,5926571,4245714,4245715,6773696,5948175,3719809,3719812,5948187,8967490,5854077,254294287,2111780,1216825,1216824,723646,410674,410675,723648,254436417,8967486,256446117,16650105,11617947,11617836,11617835,16649935,15719791,10883016,10883015,15719787,21778831,255638071,13133750,13133752,18486929,25016602,256560789,50607997,269891383,116655362,258804356,126997735,113139599,256991480,85226922,85226923,261134139,260645134,99148778,85226262,258711764,257478220,30493195,39089918,49019676,39427880,30823592,30823595,255651330,25277950,25277951,33002778,41944557,47752353,37829980,29264299,21942685,255250160,13307915,18701034,25273320,255747244,77276644,270660540,260402702,260229666,118619754,118619756,104435430,268476536,24912936,24912935,256604683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10927940, s2 = 10343984, dlinesl.size( ) = 36 s1 = 14331744, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14331744, s2 = 14858837, int(edited[s2]) = 0 s1 = 14331744, s2 = 14858837, d1 = 16, d2 = 0 Dl.O(d1) = 256581458,33732171,25925245 Dl.O(d2) = 9437679,6186083,3871255,2318408,1344150,1344154,1344228,1344231,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344232,2318578,2341493,2341791,2341789,2402953,2402952,4009346,6306449,7812769,7812767,11710793,255509853 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14331744, s2 = 14858837, dlinesl.size( ) = 14 s1 = 12933930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339190, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14339190, s2 = 11022896, int(edited[s2]) = 0 s1 = 14339190, s2 = 11022896, d1 = 25, d2 = 1 Dl.O(d1) = 254108570,16636009,16636010,17915743,254140400,254090936,5606514,8623222,8619948,5604081,4889927,4889925,4889855,2946745,2946746,4889859,5610937,3484992,2069346,2069345,3484968,5610896,5610855,5610856,7725101,11604553,11604817,11604818,7725326,5606373,5606372,5606340,3481284,2067716,2067717,3483072,2067740,1186942,666814,369917,202557,202556,267746929,1186938,2067732,3483095,5608702,8626003,254284322,267916816,268005646,254618758,254618756,10432927,8474695,5478059,254274461,1983645,3371002,5478057,8474692,8474874,12509992,15084605,10404465,7370858,7370856,10715622,7370598,7370529,7370528,7371244,11113964,12365838,10966689,10966688,11113331,7370763,7370762,7370691,7258732,4577818,4577819,2804984,2804983,4656052,7356758,11092839,15979333,22085626,22120688,16007062,11112856,7370399,4656141,2805033,2805035,4656146,7370408,7370514,7370513,11113025,16007237,16008333,16008334,22122078,22121413,16007684,11113446,7370863,4656389,2805173,1627297,925336,254165077,925341,925342,1627305,2805182,2805287,2805087,254350025,7370317,4656094,4656096,254765141,16006882,255886765,22675562,17167625,12071130,12071131,17167631,21733966,21733967,29023332,29040064,28986436,28986438,37531140,47439313,37573812,29027035,29027034,37573779,47059763,47059762,50472019,50289782,50289781,58863967,58852329,47468156,47468155,42108559,42108560,37575718,37575722,47481559,48540232,48540231,58857628,58857626,58873963,59324120,47932149,38018281,38017637,29455470,22121457,16007742,16007739,11113490,11113489,16007736,254765182,11093246,255448727,255886867,16008374,11114000,11114001,16008375,22122151,16008401,11114025,11113726,11113727,16008053,16008215,22121937,29455950,37979283,47896598,47931991,38018018,33341023,29456123,22122129,16008368,16008369,22122132,29456129,29455462,22121448,255796692,18973730,13538648,13538646,18973726,24019752,17670769,12495905,8464175,5469952,5469951,8464170,12495896,17670750,24019722,22122227,22122226,29456235,38018277,256537568,29456162,29456163,38018218,47932106,38030651,38030652,47944500,59323778,61387288,49906876,47932133,40206828,31521053,31521054,40206831,38018183,29456125,29455970,29455969,29455963,256138115,18973783,13538676,13538675,18973777,24019725,17670752,17670753,24019727,31521057,268602196,33340926,25581546,18973720,18973721,25581548,25581600,25581599,33341002,36698778,257407251,257564381,41697462,32781065,25083669,18539616,18539617,25083671,32781067,41697470,39149896,30551895,23133691,22132882,16017481,16017482,15822513,10964997,10964999,15822519,21902298,29216584,30204589,22813168,22813167,30204584,30684052,23267072,17003084,11916079,7971025,7971024,11916073,17003074,22813406,16595175,16595174 Dl.O(d2) = 659223,1174308,2047853,3302098,3302096,3444015,5014576,3408575,3408576,2044969,2044963,2014746,2014745,3413573,3389542,2059430,1181799,1181800,2059432,3427975,5542521,8544488,7712590,4881221,2941190,1705593,1705592,2234799,2234798,1705653,1705656,2030692,1989343,1175883,660077,654638,654640,1166424,1166423,2036199,3378856,2000283,2000284,2021042,2050542,254413069,3448974,5522599,7893628,5014380,3032605,1764716,1005434,566601,317334,175442,175444,317179,317177,317191,317189,317745,317743,567323,1006633,1149466,644827,357865,357861,644861,1149549,2010300,3407638,3451149,2044584,1172200,657963,364713,364718,657992,1172244,1991403,1991400,1941996,1109314,1109313,1941993,3301892,3439016,3439017,4345382,2602165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14339190, s2 = 11022896, dlinesl.size( ) = 8 s1 = 12889103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15327926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15327926, s2 = 9386680, int(edited[s2]) = 0 s1 = 15327926, s2 = 9386680, d1 = 46, d2 = 42 Dl.O(d1) = 23637525,17321971,17321970,23637523,23660371,17343563,17343562,14433152,9928250,9928249,254395226,27016679,20188028,254273520,31084671,23600722,17288163,16338751,16338752,22505613,16331757,11362658,11362657,12217173,8247493,5319299,3268155,3268159,4922833,7491337,4734888,4734887,7491326,8243096,8243098,12212388,8249025,5320941,5320940,8249022,12218721,12218724,17345360,17237029,12119807,12119804,14435377,16321886,16321887,16407146,17587893,16314953,11350990,11350987,11350978,11350934,11350935,15546345,10752114,10752112,15546337,16793692,11742222,10752079,7103580,4770166,4770167,7541315,11349325,11349329,16312347,22479134,22479135,26044490,26044487,22083129,22083126,17343676,17343674,22488596,16315792,11351499,11351497,16315782,13850884,12166859,12166860,17287866,23600498,22391688,16232456,16232457,13851761,13851759,19364608,19364609,19365402,22390747,29749418,22499171,16697386,16697387,11990509,11990508,16697348,11658052,7769434,4922790,2968650,2968651,4922797,7769444,11658073,16697373,12014632,8073032,5167307,5167306,8073025,12014617,9502432,6232657,3902155,3902154,255701157,16645109,11613075,7732724,4895451,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967579,1698899,1698898,967332,967333,1699947,1699948,2930903,4863914,5758045,5758046,4904500,4904501,7744823,10713824,7078028,7078027,10713821,10350193,6815054,4274607,4274608,4802934,7592908,4860763,4860764,7681950,4894658,2949749,1710669,1710670,2949753,254548215,11609890 Dl.O(d2) = 109484214,95230577,81174617,77008397,268828972,105066547,119259046,123675784,123675783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15327926, s2 = 9386680, dlinesl.size( ) = 14 s1 = 12889227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14322506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10601862, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10601862, s2 = 11063442, int(edited[s2]) = 0 s1 = 10601862, s2 = 11063442, d1 = 12, d2 = 11 Dl.O(d1) = 3035253,3035254,5017269,3389965,3294635,1937689,1937688,3294632,5359681,8306866,8323409,5370889,3301778,3301777,3451106,3451107,5567127,5485428,3376213,1987147,1135307,1135308,1987155,3376232,2047318,2047317,3416053,5499519,3453340,2046333,1173355,658667,658663,659222,1109375,622582,346018,346014,622601,1109406,1942168,2045465,2047190,1173881,1173878,2047179,2234620,1295910,1295909,749960,426268,426269,749967,1295879,1295877,2234558,3732208,3783611,3783619,3783588,2266483,2266485,1314978,750500,426521,240873,240874,426524,750511,1314999,1158789,1158791,2024717,2024715,3426414,5541063,8526440,5532493,5532492,5567485,5567486,8571532,8489470,5539440,3424664,3424663,2044653,1172240,1172244,1991407,1991404,1999660,1142956,641138,641135,1142965,1999674,2058462,2021902,2021900,1168006,1168010,2038368,3387304,1995518,1764285,1764286,2027594,1160804,1140350,1140347,1995460,1160770,1160769,2027552,1166892,1138033,1138034,639513,639511,1139916,1994689,3386328,5491953,3382298,2034231,1165142,1165140,2034227,2046893,3454023,3427801,3427803,5539412,3424633,254415911,8541758,12590231,17446440,22354503,24190984,17821901,17821902,23018514,18352209,13029072,8872000,5784311,5784196,5784194,8871756,13028689,13028803,8871843,8564631,8564634,11264224,16203912,22355433,17473089,12318913,8320857,5369218,3300833,3300834,5369226,8320870,254781616,17472334,16203891,16203890,22355410,17472437 Dl.O(d2) = 13028336,8871558,8871559,13028341,16892146,11820607,11820606,11889285,11889284,16204015,11264295,11026235,11026234,15904875,13419568,9175322,9175323,7477622,7477621,11263837,16203330,16203389,255629799,13028425,13028424,18351401,17473885,17473886,23806967,31203240,23715480,17391627,16376506,11397376,7572921,4789433,2886878,2886876,4789423,7572903,11397355,13601796,16963079,17472734,22420815,22420259,16254799,16254801,22420263,29785151,31291785,30424236,23019260,23019261,30424237,39012865,30423576,30423575 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10601862, s2 = 11063442, dlinesl.size( ) = 14 s1 = 12889967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339364, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13549681, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14339366, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15914869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339392, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14339392, s2 = 15283114, int(edited[s2]) = 0 s1 = 14339392, s2 = 15283114, d1 = 31, d2 = 26 Dl.O(d1) = 2341506,2341435,2341438,1356867,1356868,254307955,2304351,2304350,3845614,6145650,9380968,13697405,19180806,19180802,13697402,13697401,19180801,13697404,9380967,9380968,13697406,19180807,19180800,19180801,19180805,19180807,19180803,13697402,254662695,3845614,6145651,9380970,13697408,13697411,19180809,255689541,13697407,13697408,13697411,255689543,13697413,9380972,6145652,3845615,254662699 Dl.O(d2) = 92426455,106732431,106732434,260313047,134781845,134781846,120985254,272025393,92426451 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14339392, s2 = 15283114, dlinesl.size( ) = 20 s1 = 11039385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039385, s2 = 7217971, int(edited[s2]) = 0 s1 = 11039385, s2 = 7217971, d1 = 57, d2 = 76 Dl.O(d1) = 254339374 Dl.O(d2) = 264156014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039385, s2 = 7217971, dlinesl.size( ) = 62 s1 = 11494369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12254777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12254777, s2 = 16371897, int(edited[s2]) = 0 s1 = 12254777, s2 = 16371897, d1 = 0, d2 = 0 Dl.O(d1) = 57528531,70195566,83717078,83717082,70195570,270266261,97590692,97590691,97590697,97590696,106773288,121027064,134824996,138691031 Dl.O(d2) = 57528531,70195566,83717078,83717082,70195570,270266261,97590692,97590691,97590697,97590696,106773288,121027064,134824996,138691031 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12254777, s2 = 16371897, dlinesl.size( ) = 2 s1 = 12254777, s2 = 16371897, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12254777, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10731564, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11433319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11183597, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11256203, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11256203, s2 = 11144790, int(edited[s2]) = 0 s1 = 11256203, s2 = 11144790, d1 = 10, d2 = 13 Dl.O(d1) = 116361009,102267325,88269156 Dl.O(d2) = 41052671,32258589,24658349,18199500,255618769,32258588,41052669,47479022,37573293,256893521,256547618,42125001,42125002,52480012,64350158 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11256203, s2 = 11144790, dlinesl.size( ) = 8 s1 = 12891095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12935656, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12935722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339642, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14070171, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14339706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14339706, s2 = 14932927, int(edited[s2]) = 0 s1 = 14339706, s2 = 14932927, d1 = 18, d2 = 23 Dl.O(d1) = 174953472,174953473 Dl.O(d2) = 164132178,152245349,139513845,126139005 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14339706, s2 = 14932927, dlinesl.size( ) = 26 s1 = 11433539, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10838121, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14339766, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14339766, s2 = 8856788, int(edited[s2]) = 0 s1 = 14339766, s2 = 8856788, d1 = 98, d2 = 100 Dl.O(d1) = 258673318,63233526,76248515,87212091,87212092,76451881,63407881,51664529,51664528,63407879,76451877,258985840,76451874,259612947,118618285,260706352,158106553,165201153,258247606,155547961,256509128,133853463,133853462,144721770,131495006,117688805,103553531,103553530,117688804,131495004,128710907,128710908,142070479,128710906,128710904,128710905,261120032,100757728,86776710,258192631,49014362,39085066,30488728,23075445,23075444,30488726,39085065,39085063,39085062,257584769 Dl.O(d2) = 53108826,42657021,42657022,269071948,42750071,33720904,25914172,19252093,13756472,13692638,9377374,6143022,3843730,254453217,9377375,13692640,19174661,25826231,33628196,42657025,42657024,42657023,53108828,65095675,78379527,92416895,106722504,120974659,134771111,134771104,134771105,147889776,160139536,171360299,171360296,171360298,181383633,190187684,197789562,204266600,264375464,217745565,220783872,220783866,220783867,220783863,220783862,223370380,223370387,225606094,227550339,225606086,223370378,265306460,264888019,264888017,217745565,220783857,264888019,209670868,209670869,214104876,217745559,220783862,223370380,223370387,225606094,227550339,225606086,223370384,220783868,220783869,265487611,223370387,225606094,227550339,265487609,223370380,223370387,225606083,223370376,223370375,220783858,220783859,223370375,265651555,229251240,229251250,227550348,227550347,225606096,274357482,214104881 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14339766, s2 = 8856788, dlinesl.size( ) = 12 s1 = 12936712, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11272979, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15295638, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13269517, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16372559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16372559, s2 = 11291930, int(edited[s2]) = 0 s1 = 16372559, s2 = 11291930, d1 = 31, d2 = 10 Dl.O(d1) = 48033313,59425737,72164676,64981779,53007111,42567171,42567170,51058007,40916840,40916841,51058009,58776162,47389021,47389022,58776165,258700619,92278621,78251411,64978002,257224593,42563235,53003147,64978003,70307155,60704605,60704606,59426033,59426034,55659836,44751552,35325229,27201126,27201125,35325228,39375548,39375549,44751560,257329003,28155042,20976119,15064917,15064918,20976121,28155047,258014059,84089386,97963074,260486285,261617915,151758687,151758688,163633856,174470146,263070212,192570078 Dl.O(d2) = 261438160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16372559, s2 = 11291930, dlinesl.size( ) = 24 s1 = 11018613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11018613, s2 = 971244, int(edited[s2]) = 0 s1 = 11018613, s2 = 971244, d1 = 49, d2 = 53 Dl.O(d1) = 269488930,37824674 Dl.O(d2) = 24569036,18128451,12854575,8741353,8741355,12854580,18128458,19004748,13563407,9299476,9299475,6092132,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9320122,13581659,13630266 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11018613, s2 = 971244, dlinesl.size( ) = 46 s1 = 15315881, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14110226, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14110226, s2 = 11298942, int(edited[s2]) = 0 s1 = 14110226, s2 = 11298942, d1 = 20, d2 = 19 Dl.O(d1) = 150607340,261600482,151493103,138791625,125462523,259865972,97738680,111659673,104938855,271520451,125462527,125462526,111659677,97738682,83879786,83879785,97738680 Dl.O(d2) = 90759125,104938853,119134935,119134932,104938851,90759124,76880513,63771258,51956410,41649608,41649609,51956413,63771264,76880519,90759129,104938859,119134944,132970227,257996906,90759127,90759128,104938857,119134940,132970235,146204004,158578596,261047228,189071544,180120494,169944497,158578590,259865976,132970233,259247094,158578594,261047234,189071548,196822829 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14110226, s2 = 11298942, dlinesl.size( ) = 2 s1 = 14110226, s2 = 11298942, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14110226, Dl.E( ) = 22, 7.87e-06 seconds used appending s1 = 14105334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14105334, s2 = 15284416, int(edited[s2]) = 0 s1 = 14105334, s2 = 15284416, d1 = 0, d2 = 31 Dl.O(d1) = 137394256 Dl.O(d2) = 183387045,183387044,273829723,263618364,201788910,194847621,261822916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14105334, s2 = 15284416, dlinesl.size( ) = 36 s1 = 11316797, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14109766, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11330889, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11388309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11395167, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11395167, s2 = 16364742, int(edited[s2]) = 0 s1 = 11395167, s2 = 16364742, d1 = 10, d2 = 15 Dl.O(d1) = 272982052,192411238,199701996,205869186 Dl.O(d2) = 210970064,265683341,274489428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11395167, s2 = 16364742, dlinesl.size( ) = 12 s1 = 16364741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16364741, s2 = 11395168, int(edited[s2]) = 0 s1 = 16364741, s2 = 11395168, d1 = 32, d2 = 25 Dl.O(d1) = 274489429,265683340,203866161 Dl.O(d2) = 197310470,189624484,180729024,272982053 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16364741, s2 = 11395168, dlinesl.size( ) = 30 s1 = 14146513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14146513, s2 = 7725542, int(edited[s2]) = 0 s1 = 14146513, s2 = 7725542, d1 = 45, d2 = 39 Dl.O(d1) = 233949461,234989429,235936012,274727797,237583784,238296864,238296860,237583780,236798706,235936011,234989427,274699995,236798704,237583776,266742595,274776692,236798712,235936014,234989431,234989432,266524969,237583781,236798707,235936011,234989427,233949460,233949459,274699993,236798701,237583769,238296847,238945587,274816654,238945601,266862003,266915658,239541906,266743676,266604560,236798705,237583777,238296857,238945600,239541901,238945590,238296852,237583773,236798703,235936009,266524967,266676267,238945593,239541903 Dl.O(d2) = 209422038,263739188,203977389,262498416,180889656,273926109,203977387,203977386,209422036,203977387,197450223,197450222,273797252,264644118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14146513, s2 = 7725542, dlinesl.size( ) = 24 s1 = 15334071, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12938444, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10879056, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15285028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15296244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12938734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12938734, s2 = 6614639, int(edited[s2]) = 0 s1 = 12938734, s2 = 6614639, d1 = 1, d2 = 1 Dl.O(d1) = 241988192,241588301,241156476,240690086,240186455,239641710,239053651,238413949,237712490,236940481,236093067,235161905,234138648,233014180,231771050,230387294,228829637,274426351,222699471,219980959,219980960,222699474,225033912,222699476,265055377,212873426,208120583,202356524,264965988,130385719,116547685,102450729,88448771,74816306,62019841,50528067,256555669,12682507,254617693,2062266,2062268,3475670,3475667,5599312,8614102,12436920,12461688,12480951,8451828,5459658,3356689,3356688,5459655,8422133,12453811,17631997,23968734,17644951,12475363,12471120,8452436,5460121,5460120,8452433,8422913,8422914,254858283,5450301,3350494 Dl.O(d2) = 241988192,241588301,241156476,240690086,240186455,239641710,239053651,238413949,237712490,236940481,236093067,235161905,234138648,233014180,231771050,230387294,228829637,274426351,222699471,219980959,219980960,222699474,225033912,222699476,265055377,212873426,208120583,202356524,264965988,130385719,116547685,102450729,88448771,74816306,62019841,50528067,256555669,12682507,254617693,2062266,2062268,3475670,3475667,5599312,8614102,12436920,12461688,12480951,8451828,5459658,3356689,3356688,5459655,8422133,12453811,17631997,23968734,17644951,12475363,12471120,8452436,5460121,5460120,8452433,8422913,8422914,254858283,5450301,3350494 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12938734, s2 = 6614639, dlinesl.size( ) = 2 s1 = 12938734, s2 = 6614639, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12938734, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 11440649, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11440649, s2 = 11354098, int(edited[s2]) = 0 s1 = 11440649, s2 = 11354098, d1 = 40, d2 = 0 Dl.O(d1) = 186962550,177682936 Dl.O(d2) = 129678497,115782109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11440649, s2 = 11354098, dlinesl.size( ) = 52 s1 = 12939120, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14340378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11207561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11207561, s2 = 8899533, int(edited[s2]) = 0 s1 = 11207561, s2 = 8899533, d1 = 18, d2 = 29 Dl.O(d1) = 255387862,21174371,21174372,15226556,10503093,10503094,15214922,21174167,15226682,254655060,255015716,4349608,4349609,4349610,4349612,6923680,6925948,10503638,15227314,21190287,28411886,33455699,269515767,147330635,159678603,170993434 Dl.O(d2) = 265836873,231117931,266207259,231117928,266093775,233588715,266408175,274810480 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11207561, s2 = 8899533, dlinesl.size( ) = 32 s1 = 11492401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12939360, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15311227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14345989, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11633995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633995, s2 = 15139674, int(edited[s2]) = 0 s1 = 11633995, s2 = 15139674, d1 = 16, d2 = 17 Dl.O(d1) = 245972964 Dl.O(d2) = 263489265,184652686,184652684,175061214,164257008,164257009,164257022,152384892,152384891,152384892,139664065,139664064,261641579,139664066,126293200,112429683,98440976,258663509,58239104,46871452,36992745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633995, s2 = 15139674, dlinesl.size( ) = 6 s1 = 15316185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316185, s2 = 11292404, int(edited[s2]) = 0 s1 = 15316185, s2 = 11292404, d1 = 32, d2 = 41 Dl.O(d1) = 225024262 Dl.O(d2) = 261085818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316185, s2 = 11292404, dlinesl.size( ) = 30 s1 = 14340462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14340462, s2 = 11155590, int(edited[s2]) = 0 s1 = 14340462, s2 = 11155590, d1 = 12, d2 = 51 Dl.O(d1) = 199014662 Dl.O(d2) = 109439706,95183818,81125477,81125476,81125479,81125478,95183816,95183817,81125479,67658750,67658749,81125473,81125472,95183816,95183817,81125479,67658750,55319230,44473401 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14340462, s2 = 11155590, dlinesl.size( ) = 34 s1 = 11091387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11091387, s2 = 10211474, int(edited[s2]) = 0 s1 = 11091387, s2 = 10211474, d1 = 0, d2 = 58 Dl.O(d1) = 39466575 Dl.O(d2) = 115585464,101549111,87586491,73985968,61206627,49727936 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11091387, s2 = 10211474, dlinesl.size( ) = 44 s1 = 14340478, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14340492, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12940152, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12940152, s2 = 11325242, int(edited[s2]) = 0 s1 = 12940152, s2 = 11325242, d1 = 30, d2 = 24 Dl.O(d1) = 242543112,267114354,267035308,239920939,239920938 Dl.O(d2) = 265690529,265970369,228036011,226176763,224041155,221577775,221577765,218706300,218706301,221577754,218706286,218706287,221577755,221577812,218706368,215298258,215298259,215298194,264693232,199993152,199993154,264453765,215298198,218706304,221577768,265690529,265970369,229667572,229667574,266093657,229667591,265690530,223826789,221338250,218433250,214974946,214974945,264930556,206109221,199993160,192755531,192755532,199993163,206109226,264714355,218706319,221577763,221577762,274256396,211164448,206109231,199993166,199993165,206109229,211164446,274075162,199993156,192755529,184340542,184340543,192755532,199993163,206109227,211164443,215298220,265162183,224041174,224041198,224041199,226176768,224041157,221577758,218706292,264930552,206109207,199993150,199993149,192755535,192755536,199993171,199993182,263810190,174725032,174725030,263478385,199993173,206109246,206109265,206109264,206109225,206109224,211164425,211164424,211164458,206109240,206109239,206109247,206109246,211164464,215298234,218706305,215298200,264949669,265339558,264930554,211164419,215298195,218706296,221577762,274256396,211164448,206109231,199993166,199993165,206109229,211164446,274075162,199993156,192755529,184340542,184340543,192755532,199993163,206109227,211164443,264949671,265355497,221577848,218706375,215298264,215298262,211164486,211164487,215298272,218706348,215298242,211164469,206109250,199993176,263810188,174725031,163915379,262097678 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12940152, s2 = 11325242, dlinesl.size( ) = 20 s1 = 10549793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10549793, s2 = 16013266, int(edited[s2]) = 0 s1 = 10549793, s2 = 16013266, d1 = 56, d2 = 53 Dl.O(d1) = 266961799,241055891,241110335,241055888,240580382,240067813,239514798,238915911,238915910,239514796,240067811,240580384,240580383,241055889,267050409,241055886,240580379,240067796,239514787,239514788,240067798,240067808,239514795,239514796,240067811,240580384,240580383,241055889,267050409,241055886,240580379,240067796,239514787,239514788,240067798,266961797,266972414,240067806,240067807,240580376,266923812,240067788,240067803,239514793,238915907,238915908,266815532,238263907,238915904,266688990,236758539,236758538,237547590,238263909,238915908,239514794,240067805,240067799,239514800,266754402,237547592,236758539,235892445,266363222 Dl.O(d2) = 29032016,21740714,15690386,10861999,7181517,7181516,10861998,15690384,21740711,256352101,37579283 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10549793, s2 = 16013266, dlinesl.size( ) = 2 s1 = 10549793, s2 = 16013266, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10549793, Dl.E( ) = 58, 2.6e-05 seconds used appending s1 = 12940322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316253, s2 = 11578324, int(edited[s2]) = 0 s1 = 15316253, s2 = 11578324, d1 = 55, d2 = 56 Dl.O(d1) = 266415824,237451756,266504094,236654224,266415826,266216078,233763037,232603634,232603633,233763035,233763034,233763033,233763021,265847692 Dl.O(d2) = 238220307,237501633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316253, s2 = 11578324, dlinesl.size( ) = 36 s1 = 11351269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351269, s2 = 11323432, int(edited[s2]) = 0 s1 = 11351269, s2 = 11323432, d1 = 18, d2 = 19 Dl.O(d1) = 151709177,163588145,263066621,192536929,199812993,205963600,264708387,265157347,265527255,265833127,231070751,232375909,233556053,234629197,235607163 Dl.O(d2) = 220632723,217572711,213906305,209441252,203999431,197476055,189814125,180928125,170800474,159462369,261536322,133844227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351269, s2 = 11323432, dlinesl.size( ) = 20 s1 = 11463003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11463003, s2 = 11472558, int(edited[s2]) = 0 s1 = 11463003, s2 = 11472558, d1 = 0, d2 = 6 Dl.O(d1) = 205526478 Dl.O(d2) = 225382209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11463003, s2 = 11472558, dlinesl.size( ) = 8 s1 = 11134777, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11482043, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11482043, s2 = 885885, int(edited[s2]) = 0 s1 = 11482043, s2 = 885885, d1 = 76, d2 = 100 Dl.O(d1) = 273988360 Dl.O(d2) = 84736258,86845385,73232263,60485344,49081798,39151583,30553426,23134966,16874342,12620175,8566702,5562534,5562532,8566694,11545570,11545572,7681323,7681321,11545713,8624446,7732978,7732979,11613333,11630773,16406144,16406145,11625096,7743371,7736417,7736418,254647863,5985143,9145952,7588846,4800260,2893345,1679169,955223,254100851,167192,167193,301922,538576,955247,1679221,1679205,1679204,2893419,1682085,956584,955711,955710,1679190,2893387,2932573,4866664,4809025,2898266,2898265,4809021,7601876,11433741,11444378,16412885,11428691,7597440,4805898,4805899,6542581,4809686,2898690,1681867,956498,956496,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1680100,955687,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278903,3804403,6080014,9281714,7595933,4804835,4804837,4871268,4805148,2896034,2896031,4805145,7596397,11427471,11452274,11444110,11444111,16428937,22613370,29980291,256102884,29980291,38549234,48461553,59852123 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11482043, s2 = 885885, dlinesl.size( ) = 26 s1 = 14346110, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346110, s2 = 10348237, int(edited[s2]) = 0 s1 = 14346110, s2 = 10348237, d1 = 111, d2 = 80 Dl.O(d1) = 239397853,239960618,239960617,239960621,239960623,239397842,238787698,238787699,239397843,238787710,238123648,237394010,236591215,235710603,235710602,236591213,237394007,238123645,238787705,239397850,239960630,240482443,239960616,239960615,239960623,239960624,239397845,239397846,239960625,240482448,240482447,240966782,240482453,239960629,239960630,240482443,239960616,239960615,239960623,239960624,266901881,240966784,240966788,240482451,266847949,239397850,239960630,240482443,239960616,239960615,239960623,239960624,266901881 Dl.O(d2) = 256744999,55307406,259159713,259996014,67575706,55233187,44382934,35004854,255902064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346110, s2 = 10348237, dlinesl.size( ) = 8 s1 = 11442235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11581013, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11581013, s2 = 14116630, int(edited[s2]) = 0 s1 = 11581013, s2 = 14116630, d1 = 81, d2 = 221 Dl.O(d1) = 236785724 Dl.O(d2) = 156251150,167840469,156251148,156251147,167840468,162569380,150441152,261289002,109478991,109478989,109478987,109478986,260996049,150441150,162569378,173599379,173599380,178278349,262397562,183393385,173599377,162569376,273058497,183393384,183393388,183393387,183393389,183393390,263664390,183393389,183393390,263664390,183393389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11581013, s2 = 14116630, dlinesl.size( ) = 106 s1 = 12344809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11632933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11386933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15311501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15311501, s2 = 11495738, int(edited[s2]) = 0 s1 = 15311501, s2 = 11495738, d1 = 191, d2 = 251 Dl.O(d1) = 246868881 Dl.O(d2) = 265244940,224186054 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14340650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11645015, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11494171, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11242905, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10753334, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10753334, s2 = 14507616, int(edited[s2]) = 0 s1 = 10753334, s2 = 14507616, d1 = 34, d2 = 32 Dl.O(d1) = 17180498,12079893,8123076,8122998,5204123,5204124,5204142,7909282,7909284,11834732,16910670,17180351,17180350,23458823,19105286,16910819,11834828,11834827,11834796,7909325,5027904,5027905,7909330,11834810,12079655,8122947,5204103,5204104,8122953,12079692,17180216,21936916,16910587,11834670,11834671,16910593,16910678,16609154,11584150,11584151,11834982,10983886,10983888,15849028,16910850,12079706,12079705,17180242,12079912,8123084,5204172,3175138,1858742,1858741,3175131,5204154,8123049,12079850,17180445,19105281,13640868,9341014,9341015,13640870,17180410,12079819,12079821,10983823,7270428,7270430,10983830,12079664,8122936,8122938,5204113,5204112,8122971,12079732,16911013,15849166,15849167,21936924,23174831,23175140,23175141,256467641,258100512,30593619,23174848,23174847,23458713,29271280,29271279,30731113,39329443 Dl.O(d2) = 5343751,8282970,254829058,17409318,12268984,12268983,17408214,12268177,8284667,5368932,3300692,3300693,5368859,8320238,12317863,17471624,17400351,12262708,8281315,8281314,12262707,15070051,12259892,8279651,8279654,5343832,3284318,1931544,1931546,3283878,1931300,1931298,1931389,1931391,3284044,5343340,8282136,12264090,17402579,23726426,256510817,49910084,49392715,39464290,256201752,17151898,12055376,8105247,8105246,12055375,17151895,17154911,12058313,8107524,5194404,3169835,1855802,1855803,3169843,5195120,267991189,13499429,13499430,13506922,9241499,254446951,3787526,6052632,6064250,8110777,5196316,3170435,1856110,1059364,1059362,1856147,3170535,4369664,2617966,1511519,1511520,2617972,4369685,6954527,10545129,15279043,11275379,7484725,6945475,6945477,10531489,15263666,15176091,15176092,21124503,28336580,254531582,22754529,16543271,11529954,10284779,6760195,4236379,4236378,2541590,1464308,828630,828629,1464302,2541579,4251072,6781672,4264064,2549367,1468581,830793,830795,1468564,1468563,1468556,830784,830783,1468549,2121585,2121583,3560566,2533676,2533674,4237668,3710870,3710869,5934796,254644249,5954071,9100113,12094095,8133315,5210877,5210879,6776819,6776818,5948600,3720033,3720032,3720270,2227652,2227651,3720266,4854577,5374103,5944268,5941723,3715394,3715395,5941731,9084179,5942673,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249263,6237658,6237660,9510176,10297968,6770728,4243692,4243694,3372220,1984297,1984296,3372214,4261654,6796547,8599807,5588102,3466811,2055712,2055714,1477450,1477449,2565829,2560457,2550897,2550898,2555738,4274737,4282102,2560183,2560180,4282095,4266029,2550539,1469262,831139,468811,263646,146000,146002,263649,468815,831151,1469286,2550598,4266154,5927740,3706507,2219797,1287816,1287814,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,2228739,1292560,1292557,2228770,3722295,5952079,9097373,9092134,5948171,3719808,3719812,5944032,5944034,3716929,2418471,1399957,796834,796831,1399909,1062028,597089,332808,332810,597056,1061949,1061095,596595,596594,1061093,1859351,3176214,5206098,8126189,12084206,17185944,23465580,30899143,39506588,49437432,59157684,50176932,40151649,31467833,23972177,17623708,12442975,12442976,17623714,23972198,24127327,31633972,38374735,29803564,23292165,23292161,21229816,21229819,28456243,36956679,46834958,38375319,29803535,22437582,22437579,29803530,38375311,48286040,59673137,268963096,58484351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10753334, s2 = 14507616, dlinesl.size( ) = 2 s1 = 10753334, s2 = 14507616, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10753334, Dl.E( ) = 40, 1.5e-05 seconds used appending s1 = 14201093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12941342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11008017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11008017, s2 = 7969256, int(edited[s2]) = 0 s1 = 11008017, s2 = 7969256, d1 = 35, d2 = 24 Dl.O(d1) = 8090411,5183271,5183272,8090413,254179140,6474988,4057631,4057627,6475034,9857121,9857124,7686020,7371534,7371530,5984319,3741977,3741978,3656233,3656232,5854866,6139418,5854912,5854915,7732551,4895281,4895280,4895423,4895449,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930625,4860386,4860389,7681432,7613615,4816962,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2949444,1710502,972178,547480,547481,548590,548589,974499,548601,307075,307076,548603,955407,538649,538650,955205,1679133,2849120,2849121,4728902,2957902,2957903,4907363,7748740,11432395,11419700,7590005,4801005,4801004,4808293,7600688,6814419,4274178,2555440,2555441,4274182,6814427,4814877,2951118,2951119,4896783,4806242,2896661,2896658,4806238,2898779,1681918,956512,956517,1681911,2898635,2898638,4807439,2897435,2897437,2947771,1709564,1709568,1712030,2952153,2952288,2952283,4799516,2903365,2903367,4796125,4796121,7582684,7618338,7618335,10416191,11413320,7584738,4797434,4797433,7584692,4818997,2904062,2904058,1709428,1709432,2947532,2935482,2935478,3238529,3238535,5286524,8216430,9954757,6542549,4098938,4098935,6542513,6542419,4809627,2898657,1681853,1681858,2898675,4629900,2789203,1699723,1685742,1685744,2906118,4822611,7593659,4803453,2895137,1685341,958251,958250,1685333,2905402,4821347,7620209,11272817,11272815,11452923,9118519,5966326,3730926,2233672,1295318,1295316,2233661,3730901,4739000,4738998,4813419,2900810,2900813,4813428,7608548,11441953,7746710,4905640,4905638,4905596,4905594,7746635,11551045,7685239,7685241,7589407,7589410,7685245,11551060,11412592,7584187,4895092,4895094,7697000,5684171,3535885,2104610,2104607,1680135,1680140,2895228,2428040,1404581,1404579,2428026,2428064,4056473,6472281,9853236,255737349,268705810,62685956,271931393 Dl.O(d2) = 37383476,28843596,28843597,37358539,37358540,47268513,47268517,47268521,37385530,37358547,37358546,37381853,47291114,37381884,256337120,44386962,35009552,26927883,20042304,14357379,14357380,10755220,7105587,7105588,10755222,10755181,10755183,10755178,7105561,4473512,2687614,2687613,4473510,7104999,10754288,10753648,10753647,15548371,254336980,15549348,21572042,267965548,21570799,15548361,15548360,11749401,7844628,7844629,7105012,7105011,10754291,10754290,15549354,21570887,15548457,10753720,10753719,15548455,11749325,7844578,7844577,11749322,255042535,255042537,21570814,21573052,15550137,15550138,21572080,15549382,255412520,2687421,2687418,2687416,4473187,7105005,10754299,268210204,10754847,15550130,15550609,10755174,10755175,15550610,16802868,255042542,7844591,4979452,3007902,1747350,993677,559460,313239,313238,559457,267768045,993680,993679,1747356,3007909,2687539,1556737,885021,254160405,2687543,2687437,2687436,4473198,2687426,1556674,884986,499312,280006,280005,499309,884982,1556667,2687410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11008017, s2 = 7969256, dlinesl.size( ) = 40 s1 = 11145509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11145509, s2 = 8238281, int(edited[s2]) = 0 s1 = 11145509, s2 = 8238281, d1 = 1, d2 = 29 Dl.O(d1) = 59082371 Dl.O(d2) = 42794671,268506099,13791362,9456534,9456462,255289093,17732660,12546180,12546181,13174552,13174551,17490898,12332452,12332453,17490901,23828748,17763606,17763608,16354016,11380628,11380627,16354010,22526882,28299952,36797258,31318737,23828952,17491053,12332548,12332546,8622724,5606154,5606156,8622733,12692944,17785195,24152465,31663203,36986082,46864585,270352764,71566433,58839392,256891123,256891121,258081791 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11145509, s2 = 8238281, dlinesl.size( ) = 10 s1 = 11330091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11330091, s2 = 16366804, int(edited[s2]) = 0 s1 = 11330091, s2 = 16366804, d1 = 17, d2 = 1 Dl.O(d1) = 260952879 Dl.O(d2) = 105056980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11330091, s2 = 16366804, dlinesl.size( ) = 26 s1 = 15311565, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12474521, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11510121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11282459, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11282459, s2 = 8821601, int(edited[s2]) = 0 s1 = 11282459, s2 = 8821601, d1 = 11, d2 = 59 Dl.O(d1) = 114967697 Dl.O(d2) = 265856597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11282459, s2 = 8821601, dlinesl.size( ) = 48 s1 = 11143327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12899977, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15330769, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15330769, s2 = 12899978, int(edited[s2]) = 0 s1 = 15330769, s2 = 12899978, d1 = 7, d2 = 2 Dl.O(d1) = 221303936,264926699,210722143,205569340,205569341,210722144,214931616,218394439,221303941,223796084,223796077,221303925,218394428,264688963,210722140,214931608,218394424,221303920,221303922,221303929,218394431,214931612,264426109 Dl.O(d2) = 265336471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15330769, s2 = 12899978, dlinesl.size( ) = 2 s1 = 15330769, s2 = 12899978, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15330769, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 15311578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8271840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10603181, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11250517, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11250517, s2 = 14370066, int(edited[s2]) = 0 s1 = 11250517, s2 = 14370066, d1 = 0, d2 = 9 Dl.O(d1) = 100538832,114569108,128452393,261770817 Dl.O(d2) = 207314299,205874127,205874126 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11250517, s2 = 14370066, dlinesl.size( ) = 2 s1 = 11250517, s2 = 14370066, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11250517, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 14005507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11109499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11109499, s2 = 4494474, int(edited[s2]) = 0 s1 = 11109499, s2 = 4494474, d1 = 53, d2 = 50 Dl.O(d1) = 256006910,15260735,10529070,6944044,4363924,4363925,6364316,3993251,2393117,1385040,787827,787828,1385048,2393136,3993295,6364411,7570915,11394752,15296232,21260006,17153719,254828287,5193886,3169198,1855481,1855480,3169194,5193880,8106629,255150499,254828163,5193175,3168853,2674089,1548985,880583,880582,1548979,2674073,4451188,7069839,8104260,5192531,3168494,1855125,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,1319107,2274731,2274730,2274569,2274570,3797463,3795147,3795148,2273685,2273686,3795892,6066874,9262845,13532835,18967808,25576542,255838580 Dl.O(d2) = 166877385,166877386,177422375,186735485,273738357,207630434,273501936,165955255,165955254,165955255,154195870 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11109499, s2 = 4494474, dlinesl.size( ) = 56 s1 = 11041617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11041617, s2 = 11033178, int(edited[s2]) = 0 s1 = 11041617, s2 = 11033178, d1 = 14, d2 = 19 Dl.O(d1) = 254843609,3282654,1930644,254268257,5340646,8277244,8282737 Dl.O(d2) = 10385845,10385844,15060772,20970860,28149111,23735014,23735015,31218910,39895688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11041617, s2 = 11033178, dlinesl.size( ) = 24 s1 = 14056549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056549, s2 = 15249665, int(edited[s2]) = 0 s1 = 14056549, s2 = 15249665, d1 = 49, d2 = 44 Dl.O(d1) = 46382582,57732655,61502265,257235308,31327734,23836473,23836474,31327735,37552852,31045375,23561788,17251207,12131804,12131803,12811970,8711030,8711031,12811972,15223917,17251236,12131817,12131818,14405438,20092345,26981123,35064598,31239791,23756064,23756063,31239789,39915294,49933497,44813628,37695903,37695904,29135268,29135269,29332335,37900979,39916587,39916588,31241148,23757139,256008329,39916622,257642129,74191680,87795184,101767514,101767506,87795180,74191679,74191680,87795183,101767512,115813215,101767501,87795178,74191678,74191680,87795184 Dl.O(d2) = 262712759,263899491,200936426,193858115,272988538,260878896,271335577,85830146,260594301,141014095,141014102,261445702,165459664,153680381,141014103,141014104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056549, s2 = 15249665, dlinesl.size( ) = 46 s1 = 11153691, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11153691, s2 = 11386934, int(edited[s2]) = 0 s1 = 11153691, s2 = 11386934, d1 = 134, d2 = 91 Dl.O(d1) = 50507887,50484316,40447877,31752711,31752713,31778105,30548802,256464507,257098940,40447870,40447871,40472733,50507914,49325278,39397032,30794239,24240717,17864962,17864963,24240719,31752552,31778117,24265616,17887018,17855242,12644860,8585701,5578924,5578926,5590999,8603894,12669528,17886811,12669395,12669396,17886812,17886970,12669547,12669546,17886969,15475303,10701575,10701576,15475307,21477790,28735008,255590750,8603761,8603760,8603974,254420404,3468641,5591031,3468629,3468630,5591033,8603954,8603901,5591002,3468614,2056773,2056774,3468616,5591005,8603908,12669524,17865082,17887026,17887029,12669612,8603975,8603976,12651211,12675432,8608044,8608045,12651179,8589601,5590974,3468587,2056745,2056742,3468582,3463057,2053757,1178316,1178317,662638,367460,201095,201094,367409,662548,662547,661661,661662,662950,1180444,2056765,3461208,254108182,1179993,662619,367442,367332,201006,201005,367329,366849,200734,200735,366853,661453,1178102,661591,661590,661521,366760,366759,661518,367397,367396,267756762,2053498,254108190,1179723,662414,662415,1179726,2056447,3461212,3461213,3468536,2056710,1179887,662534,662535,1179892,2056717,254139794,8589423,10553586,6960533,6960534,6960521,6960522,10553570,15288210,17154434,12057877,9941480,8103953,8103954,8112391,8112390,12064689,9243399,6053922,3788334,2269631,2269633,3788338,6053929,9243409,255267417,254654673,3795694,3793003,2273538,2273537,3795627,3795660,6066525,9262378,13516954,12069082,12069083,15772691,15772692,17882074,12665950,8601545,5589522,5589521,8601543,5591750,3469141,2057155,2057154,3469139,5591747,8585408,5578696,254193690,254193688,3467734,2056212,2056213,3467738,5589541,3468735,2056854,2056855,3468740,5581528,5589557,5589556,8589415,5591184,5591185,5592221,5580924,5580925,5578755,267746816,3461267,3461266,5578739,8585457,12644462,254616658,24226495,24226496,24240926,254876240,31752372,24240537,17864815,17864814,24240534,31752371,24266053,24266052,255590834,21953818,15862703,10994616,7278277,4590155,2761613,2761614,4590157,7278281,10994622,15862712,254420964,32338553,41153734,50479356,256553672,61994758,258294183,259541735,265054557,265443469 Dl.O(d2) = 219469759,216175792,264585558,166238092,262382176,141865066,141865068,154508758,166238094,273560949,230114439,274699493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11153691, s2 = 11386934, dlinesl.size( ) = 98 s1 = 13189050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13208874, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13208874, s2 = 10157896, int(edited[s2]) = 0 s1 = 13208874, s2 = 10157896, d1 = 18, d2 = 17 Dl.O(d1) = 254456293,254667181,13815591,19320831,25991831,25993574,25993552,25993553,25989438,19318523,13813588,9473287,6211526,3887907,2327853,1349205,769760,769759,1349197,1349495,1349496,769938,769870,769871,437563,437560,769870,769871,437568,437565,760144,1331204,2294389,3829625,2718618,1575267,1575268,2718624,4523028,3939667,3939668,6289838,9345508,9345510,9475539,6212961,3888763,3888765,6212970,9475551,13816838,19322390,19115454,13647762,12984371,12984373,17755279,17115534,17115535,21750898,18423089,18423087,19322086,13816562,13816564,11501016,11501018,13816205,14112265,10910391,8791051,8777843 Dl.O(d2) = 8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011553,8777849,8917562,8934936,8934934,13109911,13137149,18491391,256098891,32705679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13208874, s2 = 10157896, dlinesl.size( ) = 20 s1 = 10157897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10157897, s2 = 13208873, int(edited[s2]) = 0 s1 = 10157897, s2 = 13208873, d1 = 18, d2 = 16 Dl.O(d1) = 26032303,256098890,13842828,9495570,6299911,3947396,3897321,2333998,1352775,771651,438370,438368,441964,771652,438370,438368,441964 Dl.O(d2) = 771733,438399,438396,441911,778954,788757,446775,251413,247695,247693,439100,773157,1355666,2339172,3906166,6239334,6368129,9581705,6368082,6368083,9456871,9456870,9581697,6289633,3939549,2358322,2358320,2358445,1365534,777800,441363,248772,137410,137409,248767,441349,777779,1365495,2358383,3939642,6289785,9539565,9493019,9493020,12748457,9475532,8664126,8664129,12748457,9475532,8664137,8664138,8832737,5755611,3584095,3584096,5755619,8832753,6289817,3939660,3939659,6289813,6289951,6289950,9582057,13954675,19495636,25955196,19518795,13972139,254667180,254456292 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10157897, s2 = 13208873, dlinesl.size( ) = 20 s1 = 13256978, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14079736, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14079736, s2 = 70757, int(edited[s2]) = 0 s1 = 14079736, s2 = 70757, d1 = 45, d2 = 69 Dl.O(d1) = 4916236,4914414,4914416,4914948,4914326,4914325,4915974,2963440,2963439,1719474,977125,977124,1719468,1718612,976609,976611,1718618,1718745,2963560,4915371,2962994,1718380,976485,976483,1718375,2962980,2964116,1719124,976911,976912,1719130,2964129,4914399,7759420,7759937,4914914,4914753,2963283,1718555,976580,549813,307779,170294,170292,307772,549799,976549,976927,1719162,2963700,1718842,1718843,2963653,2963652,2964782,4915066,4915067,4915916,2963385,1718635,1718637,1719486,1718654,976632,976631,1718648,2963031,1718398,976500,549778,307760,170285,170283,307753,549759,976460,1718121,1718129,1718130,2962548,4914604,4914794,2962660,1718188,976357,976356,1718183,2962649,4914772,2963204,2963113,1718452,1718451,1718487,2963159,2963632,2962552,2962553,2963662,1718813,976728,976731,1718821,2963674,4916222,7760186,4914943,4914944,4916231,4916233,4915931,4914865,4914864,2963216,2963217,2962958,1718366,976474,549766,549767,976434,976435,1718327,2962670 Dl.O(d2) = 12642089,17851458,24222720,31730803,31729533,24221848,17850914,12641751,12641750,17850909,24221843,31729520,24221887,24221885,31729592,40423003,40512435,31816088,31816085,40512428,50462095,47355024,47355026,58742533,50548323,48063867,38151089,29585071,22237390,22237392,29585077,31730993,26035341,26035340,25093326,25093325,32791878,41707711,52018099,49978176,43390667,34291075,26415079,19679030,19679032,26415091,34291093,41939302,40424483,40424484,40423501,31730032,24222180,17851100,17851098,24221817,24221818,27199698,23788184,17457172,17457174,23788191,31273758,38751668,39948574,31273761,31273762,39948579,47355050,58742546,51533527,41312988,38894731,30308944,30308943,38894722,48816014,41741331,38915630,30328916,25093288,18546920,13178150,8982948,8982949,13178157,18546939,25093315,32791858,30661076,24222808,17851512,17851509,13308015,9089365,9089364,13308010,18701162,25273474,24222191,17851113,12641866,8583687,8583688,11888037,7948073,7948072,11888008,16763776,11716303,11716305,16763781,23003374,30408184,38997163,48920983,60319640,73060850,77606993,77606992,71528566,58799554,51496279,51496278,47412615,47412616,58799497,47412620,47412619,37505099,37505098,47412634,52562780,52562781,52562824,42202795,42202796,50907873,62508266,74170545,61390046,49909849,39889528,39889526,49909845,52844313,258099369,59126202,52844320,42439654,33446563,25675767,256144685,26117313,26117314,33954297,31762498,24250637,24250638,31762500,40456948,42387331,52786797,269882064,47727806,37805971,33241728,25491875,19015794,19015793,24250628,24250627,31762482,40456917,43027814,50417388,52786803,59885880,49909840,49909841,61390042,50492795,40456920,31762484,31762483,40456919,40456967,31762516,31762517,29241808,21922576,15837184,15837183,21922573,24250636,24250634,31762496,40456940,50492818,45768288,36061078,36037463,27701757,20627260,14792610,10174197,6686537,6686538,10174199,14787944,14788590,10171780,6685064,4189702,4189703,6685105,10171878,14788939,20621487,27692998,36024523,35796545,35796546,35497388,27345831,27345832,35497392,44958951,44959108,44959107,55912114,68354832,81879371,82954463,81875611,69663478,69663480,69019553,56486922,56486924,64451931,64451929,68881300,56477146,45786063,36073691,27726792,20644575,20644576,20407790,14645703,10074564,6665040,6665036,6618288,4172826,4172823,6663978,4179265,4178934,2498344,1441918,1441913,2498373,2481164,2481159,4149936,6628213,10092826,14674560,20450059,27429660,35618899,45129728,56132857,55963743,55963742,68411706,81935323,95983260,83475263,69936911,268943948,35894847,27609376,27609379,35640055,45054555,257941167,44987984,44987983,269665139,46067067,46067068,57294691,46023724,46023723,45105197,36243555,27841972,27841967,36243566,36175571,35536590,35536593,31648771,31648767,40337683,35902541,35902537,45354015,35959042,27650570,27650573,27792738,27792734,35696441,35696439,36080365,35523979,27365506,20406810,14645065,10074230,6617612,4144071,2494265,2494262,4172596,6611881,4182523,2500984,1443017,1443011,2500988,1443003,1443000,2499976,1442580,1442575,2500001,1452256,1452251,2520019,4214840,6722936,10232108,14880473,20759996,27902062,35513972,35513968,44982562,55942761,68390095,65167188,53182549,42733209,33703494,25897200,19236913,13743816,9416472,6169696,3860550,2312726,1341667,1341669,1362526,1362522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14079736, s2 = 70757, dlinesl.size( ) = 2 s1 = 14079736, s2 = 70757, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14079736, Dl.E( ) = 70, 4.32e-05 seconds used appending s1 = 7769, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13993870, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14098418, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14854224, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14854224, s2 = 14092262, int(edited[s2]) = 0 s1 = 14854224, s2 = 14092262, d1 = 52, d2 = 36 Dl.O(d1) = 6099418,3816347,2286277,1326353,254206389,755636,429372,242358,134012,72880,72878,134002,242340,134126,133558,72695,39478,21759,21763,39496,72730,133645,241698,428210,428214,753781,1321242,2277487,1320706,753429,753428,753535,1320878,1333783,1333749,1333751,2298673,3836945,6132931,254458648,19147961,25793251 Dl.O(d2) = 32222741,41011794,41822650,41822648,52139365,63961502,71144835,71144836,258350362,112642201 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14854224, s2 = 14092262, dlinesl.size( ) = 46 s1 = 14092261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14092261, s2 = 14854223, int(edited[s2]) = 0 s1 = 14092261, s2 = 14854223, d1 = 47, d2 = 48 Dl.O(d1) = 89978078,258350363,51456782,41255074,32426470,24798612,18313819,18313821,24798585,19259830 Dl.O(d2) = 19259833,25921705,33728477,257819450,268158661,26128438,26128444,257843895,75402987,62484976,257333644,32013910,40769933,32390259,28937867,21659208,21659207,28937860,32426218,24798517,18313791,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798486,19259830,19259827,18313795,18313792,24798487,19259858,19259854,25921748,33728574,42758271,53207804,61752686,55320872,50885792,50885789,62485110,53504131,43024660,33966936,26128440,19433586,13905334,9543036,254458649,2346306,1359094,1359095,2346311,3919686,6261046,6196008,3877989,3877986,6195999,9450908,9279633,9279631,9447536,6273232,6193842,3927754,2351328,1362065,776285,776282,1362054,2351305,3843956,2303274,2303275,3843962,3877997,3877995,6196018,9450938,13784535,9708226,9708227,254206388,9447275,13779321,19242560,13748528,9420065,9419879,6172084,3861999,3862002,3886192,2415675,2415674,4031172,257289133,21457387,15457962,10688045,10688046,10688053,10688054,15457981,21457412,25693582,33466120,33466121,28457109,21230899,17943707,12715051,8639344,8639340,12715017,8639328,5618598,3490411,2073247,2073245,3490401,5618580,5863437,8980915,13174810,10954078,10954075,255433525,257484741,41288769,257151273,52687989,42301229,33320574,25558719,24244199,17868054,255001846 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14092261, s2 = 14854223, dlinesl.size( ) = 50 s1 = 15323873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12900987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13205406, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11648177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11648177, s2 = 15106589, int(edited[s2]) = 0 s1 = 11648177, s2 = 15106589, d1 = 51, d2 = 49 Dl.O(d1) = 261455789,147231943,260884541,268757624,6078399,3805861,2279808,1322221,1322222,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949,2279841,2279837,3805930,3805949 Dl.O(d2) = 256181475,257260661,257854946,270510512,24954550,18438010,18438011,24954549,32621448,41503927,51778015,63559854,76641782,90499669,91399330,77471981,64309319,52443037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11648177, s2 = 15106589, dlinesl.size( ) = 28 s1 = 14341532, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14341532, s2 = 726806, int(edited[s2]) = 0 s1 = 14341532, s2 = 726806, d1 = 69, d2 = 9 Dl.O(d1) = 90869742,258378691,52062560,41748788,32828145 Dl.O(d2) = 18571901,18571902,25123814,32828150 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14341532, s2 = 726806, dlinesl.size( ) = 36 s1 = 16374073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16374073, s2 = 10514544, int(edited[s2]) = 0 s1 = 16374073, s2 = 10514544, d1 = 42, d2 = 49 Dl.O(d1) = 59541155,72274608,72165448,59426688,59426687,72165447,85759715,87774312,87774311,87774307,74169957,74169956,259373178,102463819,88459968,85759705,85759706,74169931,61389454,61389455,74169932,87774289,87774293,74169967,61389482,49909276,49909275,268794212,60572153,60572152,270354117,100904967,258740010,87774302,74169954,256384504,39888853,31210474,31210475,33733964,42763953,53213772,65199533,72274603,61389472,258124812,72274612,72274611,64541999,64541998,72121386,85706481,91153863,77238290,64094011,269980293,74169943,74169942,72193021,72193022,74169946,74169945,75310660,75310659,89038389,81291475,67825235,67825233,55483671,55483670,67825232,78483983,65199507,53213752,42763936,33733952,25926968,25926969,25926972,25926973,33733957,42763943,53213756,59390156,48001637,38090085,29526579,22184379,22184380,29526581,38090089,257509905,44633497,44633496,55483637,67825202,55483643,53213755,42763940,33733955,33733956,33733969,25926979,25926978,33733966,42763956,255083192,30629836,39227654,48001633,38090082,38090083,48001635,55483652,44633506,44633507,55483655,67825218,81291463,73296228,60553195,49153930,49153929,268634792,55483639,258126874,42763952,42763951,53213767,65199523,268634790,48092522,48092523,55483646,44633502,35249031,35249032,256971580,35236653,44618838,35249036,35249035,38180751,38180752,257517373,65199521,53213763,42763949,42763948,39227660,39227662,49153934,48092463,48092464,59482010,72219252,85813226,95347974,81291460,67825215,59454019,48062846,38150125,38150124,35249052,268341133,9993213,9993212,14523435,20239972,27150580,35249048,44633523,55483677,67809681,59482053,48092512,38180748,38180749,48092515,59482057,60553208,49153939,255898652,73296234,71012657,268957650,46931197,46931195,37052885,37052884,46931193,58297253,65199537,55467937,44618839,44618840,256395152,81277327,73296226,60553190,49153925,268402316,73296223,67809663 Dl.O(d2) = 17362337,23682613,23794411,17462311,17462310,23794409,31170187,23682164,23682165,31170189,254868946,31251969,23767565,17439572,267914504,5356935,5356933,8302806,5360905,3295525,1938241,1938240,3295335,3295406,1938155,1107078,621207,621206,1107067,1938134,3295365,5360659,5513603,8515377,8263024,5331080,3402770,3402769,5515718,7215532,7215531,5355441,3291543,1935691,1935689,3291539,5355432,8301300,12291625,12285817,254590766,3293073,1936712,1936711,3289562,1934479,1934478,3289557,254590219,12285813,255557585 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16374073, s2 = 10514544, dlinesl.size( ) = 14 s1 = 16358573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16358573, s2 = 11193808, int(edited[s2]) = 0 s1 = 16358573, s2 = 11193808, d1 = 8, d2 = 7 Dl.O(d1) = 258339853,257140893,32304240,32304239,257726999,41115992,32304238 Dl.O(d2) = 64474,64017,64014,65101,65099,119221,217295,375614,675116,1198965,2085314,3508008,5643873,8674689,12763860,18010286,24422252,31975851,40722898,50826867,62408844,75306933,89034987,103105549,117221682,131019933,144258551,262387897,178536623,187691529,195670711,202497008,208232270,212962153,216828357,220033727,222741162,225068133,227090423,265908429,228855902,228855901,266037157,266364835,235696420,234726231,233661760,232491487,231197123,229753965,228127605,226274455,224145328,221690342,218831197,215446804,211352242,206343435,200285822,193112607,184753235,175179096,164390016,152526242,139808814,260520634,98572765,84649541,71086831,58370328,46999910,46999908,58370327,71086829,84649539,98572761,112566425,272179809,261650509,164390013,154828253,142193150,128836549,114937320,100885680,86905516,73295203,60551896,49152280,39225523,30627588,23204940,16934567,16934568,23204943,30627592,257014915,49152288,49152287,39225531,39225532,39225530,30627594,23204944,23204945,30627596,39225528,49152285,258203249,60551903,73295209,86905524,100885686,114937323,128836554,142193152,154828260,166532744,166532745,177110010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16358573, s2 = 11193808, dlinesl.size( ) = 2 s1 = 16358573, s2 = 11193808, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16358573, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11193807, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12903463, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10525916, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10525916, s2 = 12781598, int(edited[s2]) = 0 s1 = 10525916, s2 = 12781598, d1 = 1, d2 = 1 Dl.O(d1) = 2099452,2099453,3527573,5671174 Dl.O(d2) = 2099452,2099453,3527573,5671174 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10525916, s2 = 12781598, dlinesl.size( ) = 2 s1 = 10525916, s2 = 12781598, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10525916, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11613341, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11260235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12903955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12903955, s2 = 12861791, int(edited[s2]) = 0 s1 = 12903955, s2 = 12861791, d1 = 0, d2 = 0 Dl.O(d1) = 98338980,84429409,70872054,58158046,46790667,36913077,28415393,21193560,21193561,28415395,36913079,46790669,58158049,70872057,84429410,98338982,112321732,260504928,272175186,98436453,84514925,70951389,70951390,67720162,67720163,258656723,58158047,58158048,270284537,95219889,258534773,67697470,258656717,58158031,46790656,46790657,58158033,70872037,70872044,58158039,46790663,36913073,268610140,10506002,10506003,15230050,21193563,28415397,268913651,55357525,67697466,81163272,70872024,70872023,81163276,95219890,259902929,84429401,70872039,257422417,36913070,255815657,21193559,28415391,36913068,46790653 Dl.O(d2) = 98338980,84429409,70872054,58158046,46790667,36913077,28415393,21193560,21193561,28415395,36913079,46790669,58158049,70872057,84429410,98338982,112321732,260504928,272175186,98436453,84514925,70951389,70951390,67720162,67720163,258656723,58158047,58158048,270284537,95219889,258534773,67697470,258656717,58158031,46790656,46790657,58158033,70872037,70872044,58158039,46790663,36913073,268610140,10506002,10506003,15230050,21193563,28415397,268913651,55357525,67697466,81163272,70872024,70872023,81163276,95219890,259902929,84429401,70872039,257422417,36913070,255815657,21193559,28415391,36913068,46790653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12903955, s2 = 12861791, dlinesl.size( ) = 2 s1 = 12903955, s2 = 12861791, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12903955, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11291427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11458865, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15312515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11098069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14106123, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14106123, s2 = 3184403, int(edited[s2]) = 0 s1 = 14106123, s2 = 3184403, d1 = 31, d2 = 15 Dl.O(d1) = 259298620 Dl.O(d2) = 100203587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14106123, s2 = 3184403, dlinesl.size( ) = 44 s1 = 11559723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559723, s2 = 170659, int(edited[s2]) = 0 s1 = 11559723, s2 = 170659, d1 = 38, d2 = 62 Dl.O(d1) = 265811468,218976645,215607457,211530741 Dl.O(d2) = 256186638,254957556,3993637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559723, s2 = 170659, dlinesl.size( ) = 34 s1 = 11474967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11548855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548855, s2 = 13294024, int(edited[s2]) = 0 s1 = 11548855, s2 = 13294024, d1 = 35, d2 = 38 Dl.O(d1) = 265593863 Dl.O(d2) = 6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,6236400,3904329,3904328,6236395,9508432,9508442,13184199,13860775,19377429,26059512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548855, s2 = 13294024, dlinesl.size( ) = 12 s1 = 15290958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15290958, s2 = 15562964, int(edited[s2]) = 0 s1 = 15290958, s2 = 15562964, d1 = 26, d2 = 77 Dl.O(d1) = 89935427 Dl.O(d2) = 109515345,123707107,137437217,150474735,151738412,139036066,139036065,151738410,162201932,149994555,136860649,136860650,149994559,262458950,162600736,162600737,173628113,263805747,192556455,192556456,199144580,264047468,199144589,191745853,183140676,173295591,173295590,183140674,191745852,199144586,205401444,199144583,191745850,183140670,173295588,162201930,149994552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15290958, s2 = 15562964, dlinesl.size( ) = 36 s1 = 11278679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11278679, s2 = 202078, int(edited[s2]) = 0 s1 = 11278679, s2 = 202078, d1 = 23, d2 = 28 Dl.O(d1) = 113990646 Dl.O(d2) = 255503283,11623246,7741548,4901917,2954403,2954401,4901909,7591638,4802099,2894392,2894393,4802101,7591643,11421618,11421839,268229717,38516599,48423923,59809789 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11278679, s2 = 202078, dlinesl.size( ) = 12 s1 = 11343153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11343153, s2 = 9489758, int(edited[s2]) = 0 s1 = 11343153, s2 = 9489758, d1 = 35, d2 = 54 Dl.O(d1) = 270802910,63642865,51850191,51850193,59500605,55685403,256766709,257333449,68116565,60573229,49174426,49174425 Dl.O(d2) = 265222012,265737558,274615183,266058494,225484580,265641355 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11343153, s2 = 9489758, dlinesl.size( ) = 2 s1 = 11343153, s2 = 9489758, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11343153, Dl.E( ) = 56, 1.72e-05 seconds used appending s1 = 11529243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11529243, s2 = 11455906, int(edited[s2]) = 0 s1 = 11529243, s2 = 11455906, d1 = 30, d2 = 3 Dl.O(d1) = 265669857 Dl.O(d2) = 207686782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11529243, s2 = 11455906, dlinesl.size( ) = 44 s1 = 11617711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11132885, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11132885, s2 = 3284247, int(edited[s2]) = 0 s1 = 11132885, s2 = 3284247, d1 = 66, d2 = 64 Dl.O(d1) = 255600370,13427468,9180568,9124402,5970677,3733862,2235552,2235554,3733870,3649713,2237900,1297789,1297791,2237908,3737837,5977064,9133682,13364699,18768348,21347251,15371812,10621628,10621627,15371810,21347247,16855088,11788152,7871469,4997102,3019261,3019262,4997107,267947490,13016422,13016423,18336440,254471558,8994739,13194304,10611695,10611694,11005366,7285391,7285388,9133810,7282684,7282683,9135857,13364863,13367742,13368998,9136961,5979105,3738926,2238479,1298098,1298097,1298135,1298134,2238560,3739096,4594452,254442707,2238933,2238934,2763186,1601801,1601800,2763182,4592842,7282875,11001828,9136666,5978905,3738820,3738821,5978907,9136670,13368646,13365330,9134172,5977365,5977364,9134103,9134102,254917590,7284350,4593732,4593736,5853204,8966187,12855613,8970333,5856009,3655482,2186468,1268437,1268434,2186456,3655460,3530199,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771485,8855175,6520748,4085679,4085676,6520730,9918258,9918259,8648344,8648346,6224783,6224781,9491586,13138026,12825774,10600993,8636171,5616426,5616421,5672165,5672166,5672068,5672067,8713515,12815724,18077113,13799350,13799348,19300065,20107189,19245435,19245434,25906299,23623230,17308169,12184792,12184793,17308172,16724076,11682229,11682228,13451946,13451945,18876818,25478564,31921685 Dl.O(d2) = 259628369,76916077,63809125,63809126,258374155,51993650,41682434,256616361,25069850,256102193,41682433,51993648,63809123,76916073,90791192,90791191,90791190,90791192,90791191,76916072,76916073,90791192,104967564,260051600,86668255,73062975,73062976,79138522,67560864,256113886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11132885, s2 = 3284247, dlinesl.size( ) = 46 s1 = 11655219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655219, s2 = 12286450, int(edited[s2]) = 0 s1 = 11655219, s2 = 12286450, d1 = 32, d2 = 0 Dl.O(d1) = 149886036,136744247,261098532,80303056,66873835,257285895,34603648,257884261 Dl.O(d2) = 43873865,34603648,255726845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655219, s2 = 12286450, dlinesl.size( ) = 28 s1 = 11571429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571429, s2 = 13300447, int(edited[s2]) = 0 s1 = 11571429, s2 = 13300447, d1 = 28, d2 = 0 Dl.O(d1) = 233852970 Dl.O(d2) = 16271495,16271494,22439089,25804023,19157294,13679655,13679656,19157295,25804024,33601237,42625770,53073287,65055769,65055770,78334718,92367559,106671461,120924061,134722263,147847840,160101861,171328281,171328278,171328279,181356811,190165714,197771118,204251064,209656527,214091398,217732718,265486755,223359161,225596386 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571429, s2 = 13300447, dlinesl.size( ) = 2 s1 = 11571429, s2 = 13300447, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11571429, Dl.E( ) = 42, 1.81e-05 seconds used appending s1 = 12836892, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15312737, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316791, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11170649, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15317690, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15317690, s2 = 11158719, int(edited[s2]) = 0 s1 = 15317690, s2 = 11158719, d1 = 47, d2 = 36 Dl.O(d1) = 28541895,28541896,37040778 Dl.O(d2) = 260055666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15317690, s2 = 11158719, dlinesl.size( ) = 22 s1 = 11116237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11116237, s2 = 11344156, int(edited[s2]) = 0 s1 = 11116237, s2 = 11344156, d1 = 24, d2 = 32 Dl.O(d1) = 38311878,38311879,32081666,32081665,268332758,23583350,17270813,12149596,8179155,5248689,3206438,3206437,5248687,8179150,12149583,17270784,23583307,29471447,29471441,29471440,33092779,254967640,26731714,26731713 Dl.O(d2) = 57703326,70397376,83923504,97782023,111704155,111704160,111704159,111704156,259014766,83923502,70397375,70397376,83923504,261049783 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11116237, s2 = 11344156, dlinesl.size( ) = 16 s1 = 8879195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8879195, s2 = 7330004, int(edited[s2]) = 0 s1 = 8879195, s2 = 7330004, d1 = 54, d2 = 6 Dl.O(d1) = 266477867,274618245,274618241 Dl.O(d2) = 227594939,265491903 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12909803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12909803, s2 = 10746733, int(edited[s2]) = 0 s1 = 12909803, s2 = 10746733, d1 = 17, d2 = 22 Dl.O(d1) = 9136220,5978624,5978628,5978646,5978644,5978665,5978668,6569436,4115372,4115377,6569449,6994393,4395630,2634075,1521135,862467,486757,273723,151639,151638,273716,486734,862407,1413255,2444212,3653819,3653818,5853376,4396654,2634639,1521427,1521425,2444249,1413277,1413276,2444245,4085421,4083530,4083531,6517233,5969526,3733187,3733189,5969533,6520439,4085498,2444290,1413299,1413302,2444304,4085533,6520493,9921066,10612000,15360045,14416571,14416570,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259,5969661,3734486,3734485,4084131,4084134,2447992,1415401,1415400,2447984,4091583,4084238,3733017,3733015,4415531,4415532,5971780 Dl.O(d2) = 3518960,3518964,5658623,8694172,12788701,18041190,21319117,17942527,12714198,8638761,6520117,6520120,8318453,5367822,4592537,4592540,6579088,6998862,6998865,9447874,9447876,6995829,4396530,4396532,6995836,10603117,11106185,13705689,13366474,9135057,5977905,5977906,9135060,9936704,10673092,10673091,10600931,10600932,14422244,13154790,8966417,8966416,12824888,12824887,15368743,255329185,9917795,9917798,7008054,4405393,4405394,6995209,6518564,4084294,4084293,2443795,1413063,804010,455636,455610,256802,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883375,4592178,4592177,7281737,9122933,5969618,5969620,5969733,9123076,9124949,5971041,5971040,4395811,4395812,5971053,5971054,3734084,3734083,5971057,8720519,12826154,10601583,9995992,6993642,6166777,6166775,9412353,9413158,6167384,3859010,3859012,6167388,9413168,8719993,8719994,8685739,5652283,3514320,3514319,5652277,8685726,6569078,6569079,6518805,4084454,4084455,4092281,4084893,2443973,2100825,1361011,1361014,2349400,3924390,5971654,3734429,2235879,1296639,740037,420620,237404,237403,420608,740013,1296593,1296372,1296374,2235363,3733503,5970071,6998339,4398086,2635426,2635430,4398075,6998314,4398208,4115484,4115485,6569622,9916949,13349826,9413075,6167329,3858978,2635379,2635376,4397996,6998185,9756588,9756587,14192719,18523575,13161503,8971274,5856555,3655824,3655823,3859075,3859076,6167491,9413295,12331592,9935706,6530189,6530188,9935703,6861878,5969967,3733437,3733438,5969971,9123432,13351170,255283922,15353705,17467599,13351369,13351368,13405395,13351157,13351156,15354651,17889875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12909803, s2 = 10746733, dlinesl.size( ) = 14 s1 = 12952576, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15317776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11460467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460467, s2 = 16024515, int(edited[s2]) = 0 s1 = 11460467, s2 = 16024515, d1 = 44, d2 = 60 Dl.O(d1) = 263039652 Dl.O(d2) = 53112196,42660284,36515924,28051578,28051579,28950820,28950819,31427521,40107159,37497015,28954381,21673762,21673764,28954379,21673760,21673757,23126765,24011576,17664481,17664478,13209448,10606259,6997913,6997911,10606250,15353342,21325432,17802540,17802538,22432842,22432841,29799320,26414278,25690151,25132691,25132689,32837815,25134334,25134333,31511746,26628449,19817252,19817253,26628453,32839592,32839583,25134272,22678490,22678492,29442575,27213210,27213211,30038906,22663306,22663305,30038900,31640439,33298842,33216847,25470089,18869941,18869938,21673809,18580077,13203900,9001156,5876461,3669138,3669134,5876466,9001169,13203592,18579532,25132753,26161125,30039291,22663710,22663712,22663668,16468958,16468960,15171600,10463509,6897210,6897206,10463490,15171565,15171700,10463557,10463558,15171404,10463409,6897164,4329553,2590159,2590158,4329532,2590152,2590153,4329535,6897135,10463354,15171291,21117939,28328208,28328321,28328319,28834675,21563603,15541976,15541977,21563606,21529505,21529504,25808272,31640547,24133406,24133407,29317642,29317640,25655929,25655928,33424108,33559101,33960644,26122973,26122972,29732829,22375355,16219557,16219556,22375349,22375260,22375265,29732713,34001163,26159388,19459720,19459721,254656740,26169665,19468768,19468767,21991478,29320332,37888677,39874401,49896345,47068106,37175348,28656998,21413246,15424127,255402385,20895719,14991790,10322935,6792193,6792194,5246008,5246011,7679166,4859040,4859036,6586284,6586279,10020966,9099191,9099193,5953405,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,10020295,10020351,6585937,6585936,10020348,14561957,15455558,10686266,10686265,8310147,8310148,12303563,17453194,20821255,20293614,19319657,13814669,9474086,6212069,6212070,9474090,6605351,4137670,4137669,6605347,10052321,14608893,20352549,14970586,10302793,6774893,6774891,10302788,14970576,10333965,10333843,10333842,12742919,12742920,17980540,16517848,15809093,15809095,16517687,16517686,17888454,14609329,10052601,10052607,14608943,11511670,11511675,12303579,12303575,17453219,19008586,20074957,14392446,9898728,9311719,6099715,6099716,9311721,10275900,10275902,7661323,7661324,8643198,8643197,12720257,16297968,11339717,7535640,7535641,10276443,10053723,10053724,6753494,6753493,10276452,14601065,10046872,6602172,4136020,4136019,6602168,10046863,14601049,11509574,254323866,22720207,22277151,16134223,11207905,11207904,10377478,6838018,4290431,2565128,1477102,835175,835173,1477069,2565053,4290301,6837768,6743502,6743505,8338322,8338323,9272878,10048647,10048643,254593884,27281703,35407386,40632894,256056150,18650061,254882010,9048665,5915138,3698043,2214607,2214606,3698039,5915128,8953226,13136753,9441255,9441258,7141559,7141557,10807869,10696609,9974763,9974762,9974738,9974741,14496539,20202795,22810603,25092432,19551556,14001084,14001083,19125490,13655509,13655508,19125484,22810778,16593118,16593116,20203124,254881952,16593089,255210100,38786119,48708221,44484735,35107716,35107717,28425058,28425059,25132562,21398596,15412499,10653635,7034837,4425989,2656005,2656004,4425987,7034836,10653633,11736504,7835749,4973863,254248549,254172497 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460467, s2 = 16024515, dlinesl.size( ) = 34 s1 = 14325966, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14347685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11390291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11390291, s2 = 11188824, int(edited[s2]) = 0 s1 = 11390291, s2 = 11188824, d1 = 11, d2 = 0 Dl.O(d1) = 261838128,264634501,264560976,263970674,191718240,199118775 Dl.O(d2) = 149963214,261285614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11390291, s2 = 11188824, dlinesl.size( ) = 2 s1 = 11390291, s2 = 11188824, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11390291, Dl.E( ) = 22, 9.06e-06 seconds used appending s1 = 12910597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12910597, s2 = 10668965, int(edited[s2]) = 0 s1 = 12910597, s2 = 10668965, d1 = 3, d2 = 0 Dl.O(d1) = 61377837 Dl.O(d2) = 262455918 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12910597, s2 = 10668965, dlinesl.size( ) = 2 s1 = 12910597, s2 = 10668965, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12910597, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 14342322, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12910969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12953420, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13992833, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10985615, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212795, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11553949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553949, s2 = 7343737, int(edited[s2]) = 0 s1 = 11553949, s2 = 7343737, d1 = 37, d2 = 33 Dl.O(d1) = 266327709,235787462,266906171,240286426,266933207,266881974 Dl.O(d2) = 265642347,265645366 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553949, s2 = 7343737, dlinesl.size( ) = 38 s1 = 11175547, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175547, s2 = 14322203, int(edited[s2]) = 0 s1 = 11175547, s2 = 14322203, d1 = 15, d2 = 52 Dl.O(d1) = 64252081 Dl.O(d2) = 257022533,60648270,73394831 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175547, s2 = 14322203, dlinesl.size( ) = 30 s1 = 11272403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12912015, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12912015, s2 = 8809379, int(edited[s2]) = 0 s1 = 12912015, s2 = 8809379, d1 = 30, d2 = 45 Dl.O(d1) = 256918957,29360633,29360632 Dl.O(d2) = 222354318,219587227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12912015, s2 = 8809379, dlinesl.size( ) = 32 s1 = 11206699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206699, s2 = 11401359, int(edited[s2]) = 0 s1 = 11206699, s2 = 11401359, d1 = 111, d2 = 114 Dl.O(d1) = 70697052,257408944,21025875,255012799,4309316,4309317,6801119,10333163,13285407,14969944,255757088,15054136,20963786,15853611,255438197 Dl.O(d2) = 261064602,141312150,127952298,114072097,100045664,86082950,72485465,59751172,48368660,38467210,29909649,25616669,19220721,13729944,9405655,6162303,6162302,9405653,13729942,19220717,25879873,25879870,25879871,33686279,269100359,65150318,78432324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206699, s2 = 11401359, dlinesl.size( ) = 26 s1 = 12252139, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12252139, s2 = 4098837, int(edited[s2]) = 0 s1 = 12252139, s2 = 4098837, d1 = 47, d2 = 5 Dl.O(d1) = 256225517,257316697,257916214 Dl.O(d2) = 153197401,262202837 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12252139, s2 = 4098837, dlinesl.size( ) = 44 s1 = 13704315, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407681, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11261807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261807, s2 = 9413021, int(edited[s2]) = 0 s1 = 11261807, s2 = 9413021, d1 = 118, d2 = 108 Dl.O(d1) = 259652219,91341556,260864605 Dl.O(d2) = 256126243,42126859,52481647 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261807, s2 = 9413021, dlinesl.size( ) = 28 s1 = 12954052, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11584281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584281, s2 = 15296204, int(edited[s2]) = 0 s1 = 11584281, s2 = 15296204, d1 = 70, d2 = 85 Dl.O(d1) = 266557608 Dl.O(d2) = 176412627,176412628,165750481,165750482,176412646,176412629,165750470,153977573,153977574,165750472,176412633,185849787,176412638,176412639,185849792,263893406,194079171,263537524,185849785,194079158,201130093,201130095,201130094,194079168,263143450,165750476,165750475,263165673,176412643,165750480,153977580,141306794,127947152,127947151,141306791,153977576,165750474,176412631,165750485,261710992,127947153,261190735,153977583,165750468,153977588,141306799,127947155,114067172,100040639,258742320,38459585,38459584 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584281, s2 = 15296204, dlinesl.size( ) = 2 s1 = 11584281, s2 = 15296204, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11584281, Dl.E( ) = 86, 3.6e-05 seconds used appending s1 = 7809797, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7809797, s2 = 64578, int(edited[s2]) = 0 s1 = 7809797, s2 = 64578, d1 = 17, d2 = 21 Dl.O(d1) = 1336092,763157,434137,433909 Dl.O(d2) = 1336748,2303484,3844248,6143711,9378276 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7809797, s2 = 64578, dlinesl.size( ) = 22 s1 = 204187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655171, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655171, s2 = 11226480, int(edited[s2]) = 0 s1 = 11655171, s2 = 11226480, d1 = 14, d2 = 2 Dl.O(d1) = 218361436,218361437,218361438 Dl.O(d2) = 263300060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655171, s2 = 11226480, dlinesl.size( ) = 18 s1 = 11542523, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607269, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607269, s2 = 11604943, int(edited[s2]) = 0 s1 = 11607269, s2 = 11604943, d1 = 61, d2 = 104 Dl.O(d1) = 241056436,240581055 Dl.O(d2) = 240581063,241056440,241421915,240974200,240974199,241081103,240608535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607269, s2 = 11604943, dlinesl.size( ) = 2 s1 = 11607269, s2 = 11604943, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11607269, Dl.E( ) = 108, 2.5e-05 seconds used appending s1 = 12913771, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 2459686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13988702, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13988702, s2 = 15045784, int(edited[s2]) = 0 s1 = 13988702, s2 = 15045784, d1 = 1, d2 = 21 Dl.O(d1) = 238737954 Dl.O(d2) = 245170349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13988702, s2 = 15045784, dlinesl.size( ) = 38 s1 = 14342686, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16326583, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12955660, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11194859, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14134647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14134647, s2 = 7349644, int(edited[s2]) = 0 s1 = 14134647, s2 = 7349644, d1 = 31, d2 = 32 Dl.O(d1) = 215214535,218636634,265351975,226123437,227985764,229621804,231075803,232380373,233559971,233559975,232380375,231075805,229621805,227985765,227985766,274549001,232380378,233559978,234632625,235610292 Dl.O(d2) = 242839199,243151594,243151588,242839188,242503756,242143304,241754579,241333504,241333505,241754581,242143307,242503744,242503719,242143271,241754552,241333489,240879205,240879204,241333485,241754547,242143264,242503712,242839144,242868919,242536621,242179406,242179403,267085510,267074779,242143280,242503732,242839163,242839211,242503778,242503777,242503735,242143318,241754588,241754589,242143319,242503772,242179406,267038051,267038049,274943604,242839180,242839175,242839176,242839179,243151571,267220156,267157548,242143271,241754552,241333489,240879205,240879204,241333485,241754547,242143264,242503712,242839144,242868919,242536621,242179406,242179403,267085510,267002010,240388943,239860150,266793732,237237089,236415991,235516979,234531687,233450421,232259951,230941028,229469293,265712274,223763364,221268125,218355049,214888224,210675009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14134647, s2 = 7349644, dlinesl.size( ) = 12 s1 = 11009785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11009785, s2 = 15325442, int(edited[s2]) = 0 s1 = 11009785, s2 = 15325442, d1 = 4, d2 = 7 Dl.O(d1) = 8608916,5594468,3470989,3470990,5594472,8608924,12676662,12676641,12676640,12625370,12625371,17830375,19780468,26584396,34571514,31789985,31789986,31789983,256047667,24276477 Dl.O(d2) = 34163535,26295745,26295746,24276553,17896278,12676624,12676623,17896274,24276545,19652413,19652414,17936807,12709344,12709345,17936808,17936828,12709357,254619293,5615371,8634920,8634921,12709343,17935614,21527820,21548354,21548353,28817377,37356922,30003278,25098245,25098244,21527823,21527824,25916935,24324103,17936388,12709034,8634755,8634756,12709037,15952233,22055942,29385968,37950589,31843779,24324105,24324104,31842319,24322695,17935262,17935263,21182284,15221148,12708522,8634497,8634496,12708520,17935567,24323051,28404935,21183914,17936710,16446032,11458709,7621745,4822275,4822272,7621738,11458695,12939279,18241335,19070220,22633496,22633495,22634011,22634012,22634015,16446415,11458941,7621855,7621854,11458938,16446409,22634007,20303877,19335207,254201482,33826817,39279556,30682605,30682603,39279550,47547573,37641200,37641201,47547576,58929923,65140976,65140977,61394338,49914017,42707252,33677206,33677207,42707255,50416274,40381780,40381782,47356981,47356982,58744328,52686578,48348252,48348254,42707532,42707533,36902103,256102994,37641214,47547590,42706836,37641256,33677454,25871476,25871475,33677453,33677217,33677216,42282261,49206028,49206027,60606608,53156855,42707256,42707257,49237363,53500154,53156861,42707264,33677213,25871220,19212844,19212845,15734026,10897175,10897176,15734031,21792614,29090734,37641282,47547679,39893961,255520564,59085634,47814081,37892385,29324403,21994974,15896471,15896472,15896505,15896501,21995018,29324495,37892556,33285474,33285473,42265393,52651361,257592358,60612365,53175145,53175146,64783466,64783465,77514708,64783282,53550466,43071587,34013768,34013767,34013751,26171948,26171949,34013754,31790135,31790136,31790156,40485206,50520789,62012711,73315978,65575263,53550415,43071550,43071549,53550407,47687165,47687164,47687174,57958577,57958575,50520841,40485244,40485245,50520844,61424269,49946410,39928938,31253802,23769579,23769580,31253812,39928933,39286007,30688724,23272240,23272239,30688720,39286000,42460423,49212408,49212411,59652434,48265539,38354555,38354554,48265533,59652425,60516180,49211923,49211922,39285845,30688614,30688615,39285847,49174386,59789926,48405407,38499955,38499956,47814385,47814383,39285713,39285714,49212191,60612682,49212245,39285752,39285751,42460043,42460044,34295799,34295802,39263782,41728438,41728437,32808194,25106019,25106020,32808198,40542020,39285435,30688318,30688317,33466967,42460011,41728573,32808245,32808247,37382030,37382028,47291265,52864665,42812352,33779739,33779740,33467617,25694799,19069712,19069711,25694793,33466937,25694743,25694747,33466930,33467470,42460677,34594290,34594291,33466990,33466991,32808222,30688628,30688629,39285876,43253339,43253337,47192031,43253468,43253469,39285562,30688405,30688404,33467500,41728482,41728481,47192061,47192062,52043582,42460303,33467229,29472651,29472650,38035375,42460354,50576741,40540399,40540400,50576743,62069103,65830043,63862800,52043392,41728611,41728610,42812329,256156232,19302911,13801636,9464531,6205798,3884290,2325917,2325916,3884289,3884294,6205804,9464546,13801656,19302956,25969547,33779715,25969490,19302915,19302917,25969500,26295138,24464592,18045174,12792031,12792029,18045165,24464579,25105294,25106208,32808322,25106143,25106144,25106182,25106183,25694679,25694682,30638736,23215597,23215598,30638739,37278486,256566142,25105296,18556219,13185329,8988054,8988053,13184927,15484326,21489825,24322439,17935086,12708217,8634325,5615077,3488002,2071657,2071658,3488004,5615082,5868173,3663950,3663953,5868180,8634189,5614993,5614991,8634183,12707981,17934724,15366864,10617555,7006747,4404410,4404411,7006750,8919773,8919772,10617554,268206333,21341262,254682552,34653133,43926431,54668888,268330530,94405721,108692842,122958296,136788777,149924588,162136272,173235658,183086255,191694565,199096928,205358000,210540631,214775382,218260313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11009785, s2 = 15325442, dlinesl.size( ) = 2 s1 = 11009785, s2 = 15325442, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11009785, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 12292849, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12292849, s2 = 14100479, int(edited[s2]) = 0 s1 = 12292849, s2 = 14100479, d1 = 16, d2 = 19 Dl.O(d1) = 129177336,129177335,261805193,272890103,272574372,142553267,129177215,115246660,101169434,87171800,87171802,101169441,101169340,258800030,88159725,88159728,102150347,116211602,102150911,88160159,88160158,88160342,74545617,74545616,88160338,102151147,116212478,130123639,116212511,102151163,101169540,87171875,87171876,101169541,115246780,129177326,141084600,130124814,130123763,116212668,102151314,102151312,116211585,116211583,261309547,129176865,115246332,101169189,101169190 Dl.O(d2) = 88160621,270910217,87171633,73553451,60806631,257033985,39477184,49406117,60806629,73553449,87171630,259469621,258222499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12292849, s2 = 14100479, dlinesl.size( ) = 22 s1 = 14342870, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14342870, s2 = 10720905, int(edited[s2]) = 0 s1 = 14342870, s2 = 10720905, d1 = 104, d2 = 91 Dl.O(d1) = 256648452,78513478,92559709,106878644,121146646,134956663,134956665,148080410,134956657,121146643,258411016,258411018,121146647,134956664,260280912,121146644,259664980,134956662,134956663,134956665,148080413,148080412,160325463,148080409,148080408 Dl.O(d2) = 95627130,95627131,260419633,137651759,262099969,173746618,173746616,162744918,261571251,123970468,260786310,81593822,81593821,68104384,257332375,256238941,20318040,14581198,10033296,6593833,6593832,10033290,12348728,8343126,5385025,3311414,1948098,1948102,3311428,5385064,8343208,12348871,17512184,23855409,24517602,18086778,12822521,8717838,8717839,12822527,17067443,17067442,23333799,30756477,33782207,25971844,19304878,13803067,9465490,9465491,13803074,19304887,24561554,18122455,12850130,12850131,18122461,24561570,32144127,32363788,32363789,41179592,46813407,46813406,46813396,46813397,50997167,62618495,61529542,257125182,31349491,23855421,17512190,17512189,23855418,31349490,40029971,50050084,61529531,74307167,258952029,62691218,51061864,257709964,58879832,47500191,37596238,29048462,29048461,37596236,47500189,50049977,61529450,60552970,49153678,39227348,30629509,30629510,39227355,49153687,60552985,49324663,39396506,30793770,30793769,39396497,31348837,31348835,40029042,49153709,39227373,30629530,30629531,37261151,31349435,31349436,40029868,43037390,43037391,40029112,37261132,28729103,21471725,21471726,21471747,21471746,28729144,28729167,30793818,39396577,49153648,39227325,37356462,37356463,40029005,40029007,37356448,30333708,22932954,22932953,30333717,38920038,48840469,43037323,43037324,53515562,55242764,44394140,44394141,39396524,30793779,23367881,23367880,30793776,39396517,37356457,30793795,30793796,39396549,43874818,43874819,49324726,40029880,31349431,31349430,40029875,37261157,28729127,21471738,15469276,10696381,7066514,7066515,10696388,15469287,21471762,28729172,34604365,34604364,43874777,43874705,43874706,54617147,65539647,53515614,43037399,33980132,33980131,28597799,28597800,29967417,23322872,17057690,17057691,23322876,30743676,39342711,49268329,51997878,41686540,32770159,32770160,39342692,43874738,43874766,43874765,38943042,38943044,40054616,42046039,33097890,26144893,26144892,33984796,40060492,31377819,31377821,26140487,19443820,13913716,9549414,9549415,13913721,19443834,26140508,32818277,26144910,26144909,23881132,17535252,17535251,23881128,31377868,33148743,33979893,33979892,43035789,46990685,39342698,30743670,30743663,30743664,39342689,49268312,58360859,257436112,49398512,60799192,60799169,268964448,255956078,48501529,48501528,255128050,65539533,78874670,87911165,257580884,53515394,49398511,39470029,30866299,30866300,39470031,39470016,39470015,43037113,43037112,53515386,58895717,269792115,57735710,57735708,60799189,60799190,61529615,50050179,50050178,61529612,74307238,257000560,40030089,40030088,50050214,47771724,257000558,53674016,256595766,43037226,33979979,33979978,43037224,37111999,255511718,53515435,50050175,40030048,31349563,31349562,40030046,50050173,61529485,52390075,42046059,33097900,33097901,30803853,23375926,17106304,17106305,23375930,28060342,20890047,20890048,28060349,36526089,39019314,40030043,31349561,23855481,17512247,12348920,12348923,17512254,23855492,31349578,40030070,37111946,31349592,31349591,40030085,43037469,38595300,30022611,22649688,16458435,16458436,22649691,25419243,25419244,28778103,28778101,37313614,30803849,30803847,39408692,42357322,52756891,50050029,44834327,44834329,55742244,68140171,58367526,46997458,39408682,30803843,30803842,39408678,39408705,49338169,42377996,42377995,52661998,64562871,59903637,48510095,40030022,31349538,23855470,23855469,31349535,40030017,257580868,74307233,61529639,61529638,53515678,53515676,256456354,84930086,71353076,58615734,47222491,47222492,58615739,71353079,75384750,73079503,60339500,48942276,48942275,60339497,71083643,58367536,46997469,46997468 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14342870, s2 = 10720905, dlinesl.size( ) = 2 s1 = 14342870, s2 = 10720905, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14342870, Dl.E( ) = 106, 2.6e-05 seconds used appending s1 = 14139559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12956660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15313595, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12956702, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11415417, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11462713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11462713, s2 = 8455730, int(edited[s2]) = 0 s1 = 11462713, s2 = 8455730, d1 = 48, d2 = 43 Dl.O(d1) = 199237552,263570024,150309234,162445036,162445041,150309236,137268294,261548219,273055473,183292366,183292365 Dl.O(d2) = 109345478,259413844,268956458,34990694,44369029,55220212,67563856,60005056,48614245,48614246,60005057,72741013,77858636,85618698,85618697,85618700,72030224,72030225,269824623,48605175,48605174,268921594,38689581,256975425,48605237,48605124,38689526,30113682,22733127,22733126,30113679,38689522,38018755,38018754,47932640,49231399,58161958,46794410,39303280,39303281,30705582,30705583,39303371,39303299,39303298,30705778,23289602,17030109,11944935,11944936,17030114,255528055,7995606,7995607,11945410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11462713, s2 = 8455730, dlinesl.size( ) = 48 s1 = 12956940, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316831, s2 = 11499668, int(edited[s2]) = 0 s1 = 15316831, s2 = 11499668, d1 = 12, d2 = 6 Dl.O(d1) = 270880754,260684120,177749098,262788140,207831540,212623913,264268146,222526970,274523757,228704568 Dl.O(d2) = 227376123,225408027,265317268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316831, s2 = 11499668, dlinesl.size( ) = 12 s1 = 11580857, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580857, s2 = 2895213, int(edited[s2]) = 0 s1 = 11580857, s2 = 2895213, d1 = 87, d2 = 0 Dl.O(d1) = 235887207,235887208 Dl.O(d2) = 86395532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580857, s2 = 2895213, dlinesl.size( ) = 48 s1 = 11339693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13990664, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12958412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607669, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607669, s2 = 11620030, int(edited[s2]) = 0 s1 = 11607669, s2 = 11620030, d1 = 1, d2 = 29 Dl.O(d1) = 241558144 Dl.O(d2) = 243000158,267255509,243449118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607669, s2 = 11620030, dlinesl.size( ) = 30 s1 = 14343216, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15302240, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15302240, s2 = 6923846, int(edited[s2]) = 0 s1 = 15302240, s2 = 6923846, d1 = 26, d2 = 40 Dl.O(d1) = 264972883 Dl.O(d2) = 155942615,143403221,143403222,260138014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15302240, s2 = 6923846, dlinesl.size( ) = 44 s1 = 11331949, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11331949, s2 = 11475584, int(edited[s2]) = 0 s1 = 11331949, s2 = 11475584, d1 = 19, d2 = 21 Dl.O(d1) = 140776692,153456880,262034776,140776691 Dl.O(d2) = 185441125,193715845,200810749 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11331949, s2 = 11475584, dlinesl.size( ) = 24 s1 = 15273910, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11484299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11484299, s2 = 14281922, int(edited[s2]) = 0 s1 = 11484299, s2 = 14281922, d1 = 36, d2 = 46 Dl.O(d1) = 212731990,216634871,219870427,219870428,222601205 Dl.O(d2) = 267057345,242343140,242687434,242343147,242343146,242687440,242687445,242343150,241972162,241972163,241570689,241570688,241570685,241570684,241972163,241570689,266970125,240163576,240163577,266970127,241570696,241570680,241570681,241972157,242343142,242687437,242687446,242343152,241972170,241570693,241137240,240669007,266970127,241570695,241972171,242343158,242687449,243008556,243309869,243591422,243309868,243008555,242687433,242343136,242343135,242687432,243008553,243309863,243008562,242687448,242687449,243008556,243309862,243309861,243591420,267282437,244321117 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11484299, s2 = 14281922, dlinesl.size( ) = 38 s1 = 12959022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14800646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11196229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196229, s2 = 11148534, int(edited[s2]) = 0 s1 = 11196229, s2 = 11148534, d1 = 23, d2 = 2 Dl.O(d1) = 64152761,268910248,257184487,64152764,77301384 Dl.O(d2) = 48064055,48064054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196229, s2 = 11148534, dlinesl.size( ) = 24 s1 = 11129625, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14343292, s2 = 11231260, int(edited[s2]) = 0 s1 = 14343292, s2 = 11231260, d1 = 25, d2 = 18 Dl.O(d1) = 265882419,265288374,220547219,217472648,213786626,264580338 Dl.O(d2) = 269887518,52301880,64153699,64153691,52301874,41961266,41961267,33345853,25585984,23471456,17190379,17190380,18977431,13541521,255673745 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14343292, s2 = 11231260, dlinesl.size( ) = 14 s1 = 12959276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15300017, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11147489, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372503, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372503, s2 = 11310648, int(edited[s2]) = 0 s1 = 11372503, s2 = 11310648, d1 = 1, d2 = 30 Dl.O(d1) = 162506754 Dl.O(d2) = 183097706,260065064,149937524,136801596,272449873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372503, s2 = 11310648, dlinesl.size( ) = 30 s1 = 11014145, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11557101, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11512779, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7879498, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7879498, s2 = 253440, int(edited[s2]) = 0 s1 = 7879498, s2 = 253440, d1 = 1, d2 = 1 Dl.O(d1) = 9407863,6163904,3856873,2310705,1350456,1350459,771654,438381,438379,441996,779221,1368365,2363281,3946994,6173767,254941911 Dl.O(d2) = 9407863,6163904,3856873,2310705,1350456,1350459,771654,438381,438379,441996,779221,1368365,2363281,3946994,6173767,254941911 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7879498, s2 = 253440, dlinesl.size( ) = 2 s1 = 7879498, s2 = 253440, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 7879498, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 15318572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14328582, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14328582, s2 = 10648920, int(edited[s2]) = 0 s1 = 14328582, s2 = 10648920, d1 = 1, d2 = 6 Dl.O(d1) = 257146196,77909654,77909653,78366300,270530869,255624730,33417171,25649320,25649319,268304972,52796712,64710536,58667277,47275644,37365584,37365585,42663902,42663901,53115956,64721487,52807618,42407370 Dl.O(d2) = 42407367,42397145,33408035,25641377,25641376,33408032,256155048,52796717,52774990,42376044,256155450,255688218,25726629,19095168,19095169,18515736,18515737,25052745,32743105,41652885,51960087,255688780,25860426,25860425,33405493,33615348,25815603,19166292,19166293,19024467,19024468,254938768,19024470,19024471,25641379,33405535,25726741,19095267,13715565,9394549,9394550,13715566,19203315,19148053,19148054,19105157,13640783,9340955,9340956,13585411,13543561 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14328582, s2 = 10648920, dlinesl.size( ) = 2 s1 = 14328582, s2 = 10648920, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14328582, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 10648904, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14348612, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11083361, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11083361, s2 = 11111876, int(edited[s2]) = 0 s1 = 11083361, s2 = 11111876, d1 = 19, d2 = 20 Dl.O(d1) = 255427783 Dl.O(d2) = 255847178 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11083361, s2 = 11111876, dlinesl.size( ) = 22 s1 = 15300637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343564, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12960808, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12960808, s2 = 7482290, int(edited[s2]) = 0 s1 = 12960808, s2 = 7482290, d1 = 11, d2 = 55 Dl.O(d1) = 23037921 Dl.O(d2) = 241028955,267005099,267088319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12960808, s2 = 7482290, dlinesl.size( ) = 12 s1 = 9770860, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10783817, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12961066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11467457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11467457, s2 = 14131696, int(edited[s2]) = 0 s1 = 11467457, s2 = 14131696, d1 = 36, d2 = 40 Dl.O(d1) = 264753677 Dl.O(d2) = 208283520,213003675,213237511,208590398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11467457, s2 = 14131696, dlinesl.size( ) = 2 s1 = 11467457, s2 = 14131696, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11467457, Dl.E( ) = 60, 2e-05 seconds used appending s1 = 11139653, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11139653, s2 = 11034290, int(edited[s2]) = 0 s1 = 11139653, s2 = 11034290, d1 = 24, d2 = 34 Dl.O(d1) = 271778678 Dl.O(d2) = 154280701,166033189,263182361,262748069,261759143,128275169,271352895,258171621,38770401,255938169,2933855,2933854,4868762,4896818,4896817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11139653, s2 = 11034290, dlinesl.size( ) = 36 s1 = 10977689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14343776, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11149689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11365979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11365979, s2 = 11543148, int(edited[s2]) = 0 s1 = 11365979, s2 = 11543148, d1 = 11, d2 = 4 Dl.O(d1) = 262881923 Dl.O(d2) = 208614869,208614871,213259866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11365979, s2 = 11543148, dlinesl.size( ) = 2 s1 = 11365979, s2 = 11543148, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11365979, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14343803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11597213, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15314491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11192589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14152003, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12962150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11135271, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135271, s2 = 10862581, int(edited[s2]) = 0 s1 = 11135271, s2 = 10862581, d1 = 49, d2 = 43 Dl.O(d1) = 256191390,19698340,26437324,34315738,43416798,47354795,43417802,43417801,44413004,37448114,28908682,24535519,24535517,32112441,34316481,34316482,43417827,39958145,39958144,34316430,26437805,19698659,19698658,26437803,34316425,39269920,30673674,23257675,255140215,11909057,16994599,23257679,30673680,39269926,49196055,60596700,73341525,86952846,100936228,114990179,114990169,114990170,102044170,257271808,257078893,40150651,50176030,61662179,259517337,260669325,273149106 Dl.O(d2) = 265742033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135271, s2 = 10862581, dlinesl.size( ) = 42 s1 = 13708252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13708252, s2 = 14111761, int(edited[s2]) = 0 s1 = 13708252, s2 = 14111761, d1 = 21, d2 = 3 Dl.O(d1) = 156971567,156971568,262261640,164800845,175548649,185081465,193404794,195784417,193404796,185081466,178732209 Dl.O(d2) = 175548650,178732209,168422291,156971570,144570715,131345227 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13708252, s2 = 14111761, dlinesl.size( ) = 14 s1 = 14343920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14343920, s2 = 8524060, int(edited[s2]) = 0 s1 = 14343920, s2 = 8524060, d1 = 27, d2 = 21 Dl.O(d1) = 199813324,192537251,262060000,174429085,262059998,139965134,126610730,112754783,112754784,117873007,131699943,272661767,139005335,259112256,257864718 Dl.O(d2) = 272062016,163588465,273044452,163588464,151709515,139005339,139005336,125666630,125666631,260362324,163588457,174429089,163588471,151709521,151709520,261526434,147336128,260890459,106091854,259052997,258979808,19065366,13610854,13610855,13610801,9319932,9319931,13610798,256662277,33783549,25973228,19306138,13804080,9466191,6206879,6206878,9466188,13804075,19306131,25973213,33783535,42816130,257064925,31303286,23816477,256013565,39978155,39978154,39978155,258878823,71263139,58531368,47143131,37237930,28707389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14343920, s2 = 8524060, dlinesl.size( ) = 24 s1 = 10140551, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12963222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14344056, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14344056, s2 = 12812722, int(edited[s2]) = 0 s1 = 14344056, s2 = 12812722, d1 = 9, d2 = 9 Dl.O(d1) = 13220949,18602503,25159908,32866919,41787714,52101320,63920555,77032668,90912715,259592112,131805885,131805886,145065485,157500777,168965609,179254647,188308427,196193445,196930679,273920347,196193448,196193447,264324656,202939683,264599847,213241070,217044031,220203159,218433589,264633768,205622562,199399228,192044110 Dl.O(d2) = 13220949,18602503,25159908,32866919,41787714,52101320,63920555,77032668,90912715,259592112,131805885,131805886,145065485,157500777,168965609,179254647,188308427,196193445,196930679,273920347,196193448,196193447,264324656,202939683,264599847,213241070,217044031,220203159,218433589,264633768,205622562,199399228,192044110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14344056, s2 = 12812722, dlinesl.size( ) = 2 s1 = 14344056, s2 = 12812722, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14344056, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 12963358, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11563877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11355561, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11355561, s2 = 13352608, int(edited[s2]) = 0 s1 = 11355561, s2 = 13352608, d1 = 49, d2 = 79 Dl.O(d1) = 153248282 Dl.O(d2) = 24271240,17891909,12673386,12673387,17891911,24271242,22531200,22531201,22531247,28895715,22532915,16359532,11384716,11384715,16359530,22532909,29887196,256011386,48345126,38442379,29885488,22531272,16358458,11384109,11384110,16358464,21268942,17891960,17891959,24271305,31784072,29886583,22532266,22532269,16366892,16359222,11384546,11384545,16359218,22532477,29886768,24271045,17891757,12673281,8606561,8606559 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11355561, s2 = 13352608, dlinesl.size( ) = 38 s1 = 11122889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11122889, s2 = 11172410, int(edited[s2]) = 0 s1 = 11122889, s2 = 11172410, d1 = 3, d2 = 9 Dl.O(d1) = 39880919 Dl.O(d2) = 31200843,36443579,36443578,28896984,21621474,21621475,257462289 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11122889, s2 = 11172410, dlinesl.size( ) = 12 s1 = 15309236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15309236, s2 = 7953054, int(edited[s2]) = 0 s1 = 15309236, s2 = 7953054, d1 = 39, d2 = 49 Dl.O(d1) = 174155258 Dl.O(d2) = 269510308,268146296,14906505,254820109,5092571,3090504,3090505,5092573,7999794,11950820,11447386,7624103,7624101,11447433,7613171,7613169,11447430,255924149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15309236, s2 = 7953054, dlinesl.size( ) = 58 s1 = 14344157, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14344157, s2 = 6716571, int(edited[s2]) = 0 s1 = 14344157, s2 = 6716571, d1 = 59, d2 = 49 Dl.O(d1) = 163600228,151721618,151721619,163600230,174440704 Dl.O(d2) = 257654750 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14344157, s2 = 6716571, dlinesl.size( ) = 40 s1 = 11148317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11148317, s2 = 1580243, int(edited[s2]) = 0 s1 = 11148317, s2 = 1580243, d1 = 57, d2 = 55 Dl.O(d1) = 257262008,271337843 Dl.O(d2) = 39987203,50005328,256505944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11148317, s2 = 1580243, dlinesl.size( ) = 22 s1 = 10530774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11503383, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11537959, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11024367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11024367, s2 = 12341076, int(edited[s2]) = 0 s1 = 11024367, s2 = 12341076, d1 = 120, d2 = 144 Dl.O(d1) = 12637672,12637671,16400043,21520876,15509287,12030512,8087871,8087873,12030519,17119537,23391425,19820430,19654270,14087805,10703571,7071481,7071480,10703568,15478277,18330543,13012069,13012068,18330537,24822016,255481496,51519907,63233042,60716027,49314179,39386469,39386467,49314176,60716024,60716031,73463868,61739463,50260952,40241524,31555452,31555453,40241525,50260948,61739460,74521279,257117464 Dl.O(d2) = 260141737,130134037,116223410,259526855,88171649,102162340,116223409,102162339,88171648,74556752,61773109,61773108,74556750,88171643,88171642,102162335,116223406,259526857,74556758,74556754,61773111,50293260,40271939,40271942,50293265,61773116,61773091,50293253,40271933,256034453,17721902,12537852,12537853,17721904,14253758,267944671,4039614,2420483,2420482,4039613,5500799,7834499,268097405,23024255,26731986,28538756,26731991,19897448,14253767,14253766,19897446,26731987,34751698,269626799,44459012,37198577,28675862,255673172,10670637,7047582,7047581,10670636,15435066,21427686,28675858,26998995,22708377,16504359,254791091,254242707,962093,542196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11024367, s2 = 12341076, dlinesl.size( ) = 72 s1 = 14150599, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11212335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11212335, s2 = 11013570, int(edited[s2]) = 0 s1 = 11212335, s2 = 11013570, d1 = 14, d2 = 18 Dl.O(d1) = 84266295,70715282,70715281,70715308,57999104,57999105,65049394,57769509,46622948,36734772,36734771,46622947,258020737,53066519,53066520,65049385,57769511,46416010,36553023,28084080,20910953,15005785,15005784,20910948,20910949,28084073,36553014,46415997 Dl.O(d2) = 44726330,256047236,27186987,35306703,42618979,42618955,36734827,268909891,33594986,25798637,19152755,254937537,3838156,2299400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11212335, s2 = 11013570, dlinesl.size( ) = 20 s1 = 10401613, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11054701, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054701, s2 = 15535492, int(edited[s2]) = 0 s1 = 11054701, s2 = 15535492, d1 = 59, d2 = 79 Dl.O(d1) = 22336478,22336479,22345867,16196645,11258863,7474252,4723626,4723627,254166572,267830264,22337832,16223575,11278049,7486497,4731051,4731052,7486500,11272231,7482738,7482737,11272223 Dl.O(d2) = 107411058,121793717,129677927,115781352,101736218,87763662,74159356,61378882,269375448,31195794,23707096,23707095,256509725,39876961,49898413,61378880,74159355,87763660,101736215,115781349,115781346,101736214,101736215,115781349,129677925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054701, s2 = 15535492, dlinesl.size( ) = 18 s1 = 11315687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11315687, s2 = 517821, int(edited[s2]) = 0 s1 = 11315687, s2 = 517821, d1 = 23, d2 = 31 Dl.O(d1) = 259555045,75030800,270556844,5634374,3501528,2081282,1196721,1196719,674158,674161 Dl.O(d2) = 50695628,41747903,32827307,25123055,25123052,32827301,41747893,52061604,257697745,50695628,41747903,32827307,25123055,18571297,13197027,8996389,8996390,13197028,18571296,25123050,32827300,41747891,52061601,63879699,76990113,90868225 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11315687, s2 = 517821, dlinesl.size( ) = 10 s1 = 14344380, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14344380, s2 = 12611930, int(edited[s2]) = 0 s1 = 14344380, s2 = 12611930, d1 = 7, d2 = 7 Dl.O(d1) = 261380106,179321711,263303184,273769522,196243442,188365247,188365248,263680900,193477331,273338856,262199226,261682121,126973602 Dl.O(d2) = 261380106,179321711,263303184,273769522,196243442,188365247,188365248,263680900,193477331,273338856,262199226,261682121,126973602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14344380, s2 = 12611930, dlinesl.size( ) = 2 s1 = 14344380, s2 = 12611930, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14344380, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 12965098, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11279957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15323733, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379637, s2 = 11250274, int(edited[s2]) = 0 s1 = 11379637, s2 = 11250274, d1 = 38, d2 = 58 Dl.O(d1) = 261166408,99725936,85772133,72177884,72177885,257513623,48047680 Dl.O(d2) = 161843261,173008484,178068503,173008487,173008486,167604770,155994214,143454233,143454234,155994215,149538557,149538558,149538560,136273174,260044864,161843263,161843258,149538556,136273172,136273173,149538558,149538560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11288717, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10501591, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14338150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14338150, s2 = 3150486, int(edited[s2]) = 0 s1 = 14338150, s2 = 3150486, d1 = 16, d2 = 74 Dl.O(d1) = 13826945 Dl.O(d2) = 270529827,77860873,91783415,99394816,85454123,271325761,120177979,261693403,260566804,99394815 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14338150, s2 = 3150486, dlinesl.size( ) = 22 s1 = 14578615, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14344492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158001, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11158001, s2 = 12462489, int(edited[s2]) = 0 s1 = 11158001, s2 = 12462489, d1 = 26, d2 = 35 Dl.O(d1) = 268690097,24210490,31717985,34270907,26395188,19660954,14092902,14092903,16658349,16566619,16566621,22103263,16290710,12633509,8577898,5573537,5573538,8577904,12633522,16400457,16400458,20796870,20796871,22081156,22081157,29411638,28910530,25898186,269529319 Dl.O(d2) = 217770984,263736688,217770983,214135882,209708603,209708604,274651709,265936886,265105184,225580529,227529221,264642438,225622831,223389086,263365082,217770985,273795588,227565570,274539395,230739619,232082027,274738389,234385008,234385009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11158001, s2 = 12462489, dlinesl.size( ) = 36 s1 = 11248147, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248147, s2 = 11479622, int(edited[s2]) = 0 s1 = 11248147, s2 = 11479622, d1 = 25, d2 = 19 Dl.O(d1) = 256970246,16362492,11386815,7564962,7564963,11386820,16362497,22536736,29891475,36569743,38400717,37344111,28806053,21539205,21539204,28806052,37344070,37344198,47253658,37344136,29193459,29193458,36795228,268639815,22461195,22461196,29828450,28805241,21538450,21538451,15523589,15523590,255843517,37343916,37343917,38447203,37343137,29828457,29828458,28297458,21089832,15149091,10448053,10448054,14574296,14574295,20308565,27238762,35361631,44785680,40168023,31483183,31483184,36794661,38593624,38099540,38099541,38485760,38485761,30533466,30533465,38099953,255891420,59398610,49145588,39219014,39219013,48108202,38196793,29629961,22278169,22278170,29629963,29629881,29629880,269337164,23114741,16855477,16855478,22186533,22186532,16855454,15551869,10756120,10756118,15507618,11297505,11297508,16229893,11282545,11282546,11296682,15551388,254235622,254123588,11788702,16855768,23115023,23332147,23332146,28846551,29529008,29529007,258119687,85707986,258120326 Dl.O(d2) = 262227558,273862751,264212786,264755236 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248147, s2 = 11479622, dlinesl.size( ) = 26 s1 = 11369801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11369801, s2 = 5917327, int(edited[s2]) = 0 s1 = 11369801, s2 = 5917327, d1 = 117, d2 = 37 Dl.O(d1) = 273641031,265108043 Dl.O(d2) = 237494925 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11369801, s2 = 5917327, dlinesl.size( ) = 58 s1 = 14213766, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16242551, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15315160, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15315160, s2 = 11260864, int(edited[s2]) = 0 s1 = 15315160, s2 = 11260864, d1 = 129, d2 = 88 Dl.O(d1) = 224712471,224712309,224712308,274417989,228600882,230162597,230162595,231568583,231568610,230162631,228578895,226777576,224712441,222333896,265229842,222333840,224712367,265741539,230162577,231568570,230162582,265588466,265023890,216283977,212327961,207485941,207485942,212327964,216283981,265415077,226777526,226777557,226777556,226777507,226777510,226777400,226777399,265884271,231568550,232828941 Dl.O(d2) = 260850038,120270490,260254208,258383438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15315160, s2 = 11260864, dlinesl.size( ) = 56 s1 = 14349482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14349482, s2 = 11404198, int(edited[s2]) = 0 s1 = 14349482, s2 = 11404198, d1 = 93, d2 = 90 Dl.O(d1) = 267026951,242076556,242439324,242776305,243090028,267263125,244155554,267313075,243916851,243660573,243384851,243090026,243090025,243384849,243660570,243916846,243916860,244155561,244377650,267356507,244583506,244583505,244775568,244583519,244583518,244583527,244377646,244155556,243916857,267289211,244377643,244583526,244583520,244377639,244377640,244583522,244583524,244377645,244377644,244377616,267293570,243660569,243916844,244155532 Dl.O(d2) = 215384394,211282260,206262069,263847011,184616749,175017076,164202473,261638327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14349482, s2 = 11404198, dlinesl.size( ) = 8 s1 = 14031145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14031145, s2 = 506452, int(edited[s2]) = 0 s1 = 14031145, s2 = 506452, d1 = 53, d2 = 76 Dl.O(d1) = 255863371,37657083,47563166,48439690,38531414,29965452,22600606,22600605,29965449,38531409,48439686,257896285,80664634,92511483,258700793,58778050,49325111,39396860,39396858,256732123,26733355,268819309,62750472,62750481,51119264,40976950,270452435,89462784,75697677,62750488,272656110,100821263,86840034,73227388,60480887,49077672,49077671,60480885,258820937,60480900,60480898,62750493,51119270,40976954,32196842,32196841,39147903,39147902,49077680,60480888,270317076,23132103,16871856,16871857,255963543,39147895,49077674,49077677,49077676,49077684,39147900 Dl.O(d2) = 12880081,18162321,24611045,20032718,14349521,9859331,268546961,255307601,9695003,6376387,6376390,9694976,14095968,19664824,23178699,254799776,14903092,20795756,27957296,30600091,254245442,13531537,13531538,18967059,254245062,19819543,19819544,16210136,16210137,22363646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14031145, s2 = 506452, dlinesl.size( ) = 2 s1 = 14031145, s2 = 506452, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14031145, Dl.E( ) = 192, 0.0001 seconds used appending s1 = 11051923, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11051923, s2 = 14029112, int(edited[s2]) = 0 s1 = 11051923, s2 = 14029112, d1 = 56, d2 = 61 Dl.O(d1) = 27235673,35358505,31114888,31114887,39795461,49816191,55690061,55690063,58182407,46815570,46815569,256764209,27236238,20306442,18559447,18559446,25108671,29964641,31188595,33459228,33459227,39803936,31123811,31123812,32811200,32811201,41731707,46371544,36512664,36512665,39871273,39439705,39439706,32811174,32811173,41731677,39871262,39871261,44783603,41731682,41731683,52046525,60550280,258826189,100883128,114934609,128833833,261717282,142191013,154826712,166531738,177109322,177109319,166531735,154826709,142191012,128833840,114934613,100883129,86903326,259450379,260666187,142191005 Dl.O(d2) = 128833840,263593911,271525782,259008360,260848402,105340485,119574551,109858020,257177764 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11051923, s2 = 14029112, dlinesl.size( ) = 64 s1 = 10686508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14536922, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14344808, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12932009, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15319475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14349648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12932165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315350, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15315350, s2 = 5092109, int(edited[s2]) = 0 s1 = 15315350, s2 = 5092109, d1 = 34, d2 = 20 Dl.O(d1) = 225250248,222958131,220298265,217160269,213390211,208788687,203190201 Dl.O(d2) = 211645503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15315350, s2 = 5092109, dlinesl.size( ) = 36 s1 = 12311563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12311563, s2 = 9380409, int(edited[s2]) = 0 s1 = 12311563, s2 = 9380409, d1 = 46, d2 = 67 Dl.O(d1) = 206312788 Dl.O(d2) = 31543872,31543873,40230183,50250072,258276773,72164803,59425920,59425921,59425694,48033272,38120065,29554913,22210115,22210114,29554911,25761208,19122028,13652734,13652735,255684899,13673216,13673215,268029751,6123502,3831249,3831248,6123501,9348935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12311563, s2 = 9380409, dlinesl.size( ) = 34 s1 = 14941866, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14941866, s2 = 12242630, int(edited[s2]) = 0 s1 = 14941866, s2 = 12242630, d1 = 17, d2 = 4 Dl.O(d1) = 269803383 Dl.O(d2) = 8917553,6011568,6011566,8777805,8839593,5760675,3587870,3587873,5760701,8839656,8916066,8916069,6011361,3759811,3759809,6011385,9184586,9461812,6203933,3883106,3883103,6203923,9211127,6030378,3772574,3772577,5818461,3629583,2167798,1254641,713576,713579,1254652,2167837,3629668,5818634,8916258 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14941866, s2 = 12242630, dlinesl.size( ) = 12 s1 = 13991778, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13991778, s2 = 13637671, int(edited[s2]) = 0 s1 = 13991778, s2 = 13637671, d1 = 71, d2 = 62 Dl.O(d1) = 9191386,13442110,16166740,11234211,7455365,6551792,6551791,9968964,8563795,5560581,5560582,8563802,8570565,12624501,9190119,6015850,6015851,8559775,8559774,11474914,16469173,254650410,13440604,13440603,255262050,22665282,23041274,16796324,16796323,23041272,25339773,18759744,18759743,23041308,16796357,16796360,18864310,18759813,13440555,9190102,9190101,13440547,14126315,9718618,9718574,9718573,12632722,12632720,13440045,9845571,6466368,4051518,4051519,6466372,9845582,9191917,9191922,13442695,15889052,12624026,8570149,5565911,3449635,2043232,2043231,2449870,1416454,1416456,1175427,1175426,2049522,3457206,5573140,8577344,11150396,14455074,14455073,20150602,27043277,35129471,254874166,27042037,27042844,24209256,17839134,12632528,8577270,5573104,5573105,8577285,12632556,17448671,23778765,24081720,24081719,24187838,17819339,17819338,24187834,27041661,35128593,31568846,24209131,24209132,24112660,17752045,17752046,24112661,31617956,31716673,31716672,31688076,24179299,20152459,20152462,15065598,14456320,14456319,20152200,24138713,17774442,17774443,24105020,26442538,19703712,19703714,26442899,34320410,33211013,25463228,18862987,18862986,25463226,31587735,26442679 Dl.O(d2) = 117548964,112754383,98764197,258684369,257448889,21452382,15453935 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13991778, s2 = 13637671, dlinesl.size( ) = 14 s1 = 16270078, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159025, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159025, s2 = 4105396, int(edited[s2]) = 0 s1 = 11159025, s2 = 4105396, d1 = 22, d2 = 64 Dl.O(d1) = 62470566 Dl.O(d2) = 261470076,153417760,153417761 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159025, s2 = 4105396, dlinesl.size( ) = 54 s1 = 16300429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14006541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15315559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15294910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15294910, s2 = 11591180, int(edited[s2]) = 0 s1 = 15294910, s2 = 11591180, d1 = 39, d2 = 13 Dl.O(d1) = 255336844,260250831,133096990,146324464,261000914,264042545,196891941,189151218 Dl.O(d2) = 227341643,266762329,239716492,266715048,239716492,267023395,267173103 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15294910, s2 = 11591180, dlinesl.size( ) = 44 s1 = 12969124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12969124, s2 = 11332256, int(edited[s2]) = 0 s1 = 12969124, s2 = 11332256, d1 = 37, d2 = 11 Dl.O(d1) = 262562457 Dl.O(d2) = 129558349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12969124, s2 = 11332256, dlinesl.size( ) = 52 s1 = 12969242, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 8072414, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12935239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12935431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12935431, s2 = 7045067, int(edited[s2]) = 0 s1 = 12935431, s2 = 7045067, d1 = 0, d2 = 9 Dl.O(d1) = 100827780 Dl.O(d2) = 261782869 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12935431, s2 = 7045067, dlinesl.size( ) = 2 s1 = 12935431, s2 = 7045067, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12935431, Dl.E( ) = 10, 3.1e-06 seconds used appending s1 = 12935495, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12935495, s2 = 11025386, int(edited[s2]) = 0 s1 = 12935495, s2 = 11025386, d1 = 19, d2 = 15 Dl.O(d1) = 255395759,28535556,29182385,21871623,268610942,7251366,8612985,8612987,12681194,17901413,24282012,24783877,18302264,255626405,268175945,9949481,6539100,6539099,6541676,4098425,2451746,1417442,1417443,2451747,4098427,6541677,9953491,6541982,4098592,2451836,2451837,2451848,4098612,6542013,254979141,20162902,14465055,9951922,6540679,4097842,2451446,1417292,1417293,2451451,4097856,5364425,4098734,4098732,6542227,8313829,6545775,6545776,9959586,9960109,7173992,4518949,2716086,2716085,254509073,10851541,14466911,9953376,6541597,6541598,9953379,14466913,14472647,9957818,6544691,6544690,4100285,4100284,6544703,9957833,14466009,14466008,15674065,21717990,20161932,20161930,20162703,16828305,11767844,7856712,7856714,11767852,9951948,9951947,14465095,9957190,9957187,14471748,14466407,14466409,20164306,20170626,15674389,15674388,21718332,20166850,14468475,9954469,9954468,14468474,20166848,254755184,27072142,27060718,20166913,16830451,14468523,14468520,20166924,24979320,29420682,22090093,16830277,16830279,19399213,13876347,13876349,19399077,19399078,20158932,20158931,16226049,11279683,11279686,16226062,19398802,19398804,26088189,22889998,19398848,13876094,13876093,19398842,26088234,27053496,30287936,38873687,47674018,40490707,40490708,257687033,74814593,88446880,102448497,116545232,118893208,104708875,90541599,76678565,63592059,51805826,41527379,32640404,24969482,18449864 Dl.O(d2) = 24969479,256609379,28970323,21688497,21688498,28970326,24550843,24550841,25314896,255733222,22891437,30289586,38875376,44797515,44797516,38449492,29892656,269175152,269175150,256843846,28426947,28426946,33247308,25496690,25496691,33247304,25496686,18891615,18891616,25496689,22621529,16436691,16436690,22621526,256422461,48471997,256439935,268649449,41571800,41571799,51861645,49234409,39307615,30709859,30709860,38452679,43331457,34232849,28997796,256349023,47451186,55325278,55325279,258241122,30001076,22631633,22631634,30001082,38571646,48484831,47125529,37227655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12935495, s2 = 11025386, dlinesl.size( ) = 20 s1 = 14345398, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14345398, s2 = 11067168, int(edited[s2]) = 0 s1 = 14345398, s2 = 11067168, d1 = 51, d2 = 11 Dl.O(d1) = 257810363,77977337,77977303,77882514,64692670,52778620,257805761,77882516,258421779,64692674,257805765,257805763,259053407,64783002,52863650,52863651,64783004,259053409,106000170,91901778,91901777,99445075,86857427,77882519,64692672,64692673,71917650,59179207,52778630,42379879,42379878 Dl.O(d2) = 97717979,83859374,70334241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14345398, s2 = 11067168, dlinesl.size( ) = 16 s1 = 11299291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299291, s2 = 3632500, int(edited[s2]) = 0 s1 = 11299291, s2 = 3632500, d1 = 59, d2 = 30 Dl.O(d1) = 257599856,83968115,97828916 Dl.O(d2) = 125942228 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299291, s2 = 3632500, dlinesl.size( ) = 12 s1 = 11072637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12935847, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11074897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11074897, s2 = 10985500, int(edited[s2]) = 0 s1 = 11074897, s2 = 10985500, d1 = 76, d2 = 56 Dl.O(d1) = 255305363,6354820,6125676,6125677,9352034,12974362,8831579,8831580,12974364,9661963,6353612,6353613,3987171,2389635,2389636,3987176,3986594,3986593,3987393,2389746,1383328,1383329,2389751,2349867,1383355,1383357,2389811,3987502,6355361,9664827,9664100,9664098,6354958,3987260,3987258,6354949,9664120,9664174,10721240,15503031,19450526,13919170,13919171,14053607,10721148,7083009,4459358,254310981,2389493,1551769,882241,497851,279200,154076,154075,279197,497845,882229,254226533,2678881,4459302,7082902,10720974,255297377,13919220,255706135,19611202,26338410,19609865,14051652,9662183,6353730,6353729,9662177,14051641,14051595,14051596,19451408,14052919,9663079,6355265,3987454,2389784,2389782,3987447,4459337,2678897,2678898,4459338,7082968,6269052,3925136,3925135,6269050,3987005,3987004,6354507,9663499,14053480,19611959,19614671,14055761,14055762,14051678,9662198,9662200,14051682,19609906,26338438,26338754,19610244,19610245,14052181,14052182,19450945,13919489,13919488,19450942,14053707,9663651,6355442,3987545,3987543,3925041,3925042,254574705,3171580,1856605,1856606,3171581,5198494,8114331,12067182,14052463,13370986,9138486,5980146,3739522,3739519,5980135,9138464,13370944,18775245,14055683,9665144,6355583,6355582,9665135,14055666,19614525,26343254,30695937,256419126,42038786,42038785,39705967,31028893,23547876,17240183,12123469,12123470,17240187,23547885,18768612,255657465,18846268,18846269,25443029,31028895,256489252,60813495,60813494,73559904,271373705,98336716 Dl.O(d2) = 60703409,258703121,58811089,257026404,21690391,15650684,254823706 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11074897, s2 = 10985500, dlinesl.size( ) = 32 s1 = 10907330, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10907330, s2 = 14230075, int(edited[s2]) = 0 s1 = 10907330, s2 = 14230075, d1 = 0, d2 = 9 Dl.O(d1) = 24384213,24384214,31916645,33087724,33087723,42035207,52378734,64234110,77384432,64234115,64234116,60199770,48803196,47554456,37649250,29100315,29100314,37649246,47554453,58936167,47554451,37812526,37812525,47734701,59133292,71871491,85456327,85456322,71871488,71871489,85456324,99397231,99397228,99397229,260567005,140602506,153282665,153282666,165096565,175822122,185327985,193621186,193621188,193621187,200728868,206726394,211681318,215730653,212647147,263102898,262178686,177795224,167300514,167300515,167300518,271774240,143117114,129787385,258059812,256869178,61494193,50016335,39998272,31320853,23830658,255405078,39998274,50016336,61494194,74270951,74440747,61656802,50170756,40145559,31461980,23966045,255108448,9418416,6171026,6171024,3862374,3861965,2313548,2313550,2415583,2415585 Dl.O(d2) = 1342032,766329,766330,1342004,2313347,3861495,6171231,9418704,13746858,19240711,25901427,26422065,26422064,34298655,43398982,255196150,41243801,32417582,24791687,18308563,13932194,9563062,6275206,6275205,9563059,13932188,19467300,26167978,34009742,43067544,53546583,65571454,78906494,78906495,93016575,93016576,257129008,84335257,70776647,58058988,46685840,36801775,28305183,28305184,36801776,46685843,255612472,81492860,76135181,75042721,71925799,59186424,47786438,47786440,50612468,40570481,31867958,24344968,24344969,31867960,40570483,50612471,62112079,74916449,76833733,76833732,90703650,102561438,88555068,88555069,102561440,116660066,119058696,104873122,104873121,260837149,146099674,145084290,131825140,117997385,103852217,89748347,89748346,95352051,81295927,81295928,259550581,74916446,74916445,88555065,102561434,116660055,130498554,143822665,134009596,259714174,91781983,77859472,65754234,53696764,53696763,53696762,53696761,53171968,42867782,42867781,34099413,34099412,42354832,42354833,52754226,64669153,77859031,91781578,105975919,107821545,93399028,79272567,70312927,269292855,269292857,46873308,58240916,58240913,55288587,44444445,35070183,26986586,20097258,20097259,19588204,19588205,256183761,43281823,43281822,53806883,65874983,79239494,93367560,79239501,79239502,93367571,259436248,79239513,79239512,259436244,93367560,258812174,65874986,65874987,79239500,93367570,107789968,110225070,110225068,96038627,96038628,260429779,122195462,122195463,122195474,107789977,107789979,122195477 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10907330, s2 = 14230075, dlinesl.size( ) = 2 s1 = 10907330, s2 = 14230075, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10907330, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 11106337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106337, s2 = 7828246, int(edited[s2]) = 0 s1 = 11106337, s2 = 7828246, d1 = 59, d2 = 38 Dl.O(d1) = 35374407,27249812,20317265,14580609,14580611,20317268,27249821,27249771,20317231,20317232,26298905,19576043,19576044,21963707,15869874,10999267,10999268,15869878,21963718,17109401,17109400,17109225,17109226,23379152,18738496,13339710,9114172,254915169,12023220,255981667,257028911,60745523,271840632,262784211,264265519,274356515,266442303 Dl.O(d2) = 255499328,25507883,22850105,16625551,16625550,16619159,11596793,7719658,4886089,4886084,254170222,9259724,8112747,8112746,12065071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106337, s2 = 7828246, dlinesl.size( ) = 46 s1 = 11491403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11325133, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14114331, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10497203, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12971046, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10521838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10627574, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14332934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14354059, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8628808, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14345855, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14333064, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14333064, s2 = 13065565, int(edited[s2]) = 0 s1 = 14333064, s2 = 13065565, d1 = 5, d2 = 7 Dl.O(d1) = 30115213,30115212,38691079,32032362,32032363,32032376,24470047,24470046,32032374,40789346,38049931,31436713,30115207,30115206,38691074,40115220,50135068,59998049,48606548,38691071,38691070,48606543,48606572,48606570,43376020,257268703,48606601,48606612,38691153,30115292,30115293,38691157,48606617,53899892,59998078,62506635,61484523,50006210,39988358,31311767,31311766,34277105,34277106,32856158,32856159,41776856,34277056,26401949,26401950,32032356,28014990,28014989,34277068,26401956,19667730,19667732,23945764,31436706,40115246,40789337,50906108,61615690,52396645,42052582,33103499,25368777,255123896,42052585,256238104,50135070,257556132,40115277,31436726,23945771,17600616,12423229,12423230,17600621,23945778,30343523,30343522,38929569,48849529,60243010,72979058,61615715,50135102,50135103,61615719,64252121,61615723,53899910,43376092,34277113,26401989,19667754,14098197,9696494,9696493,14098192,19667743,23945761,31436702,40115244,50135094,50135083,50135081,60768244,53899895,53899896,50135166,50135167,61615771,72735244,65240993,65240994,74393138,72735215,59998089,48606689,38691238,30115359,22734498,17600626,17600627,256023707,40115302,48849526,48849525,60243005,268962910,50135113,40115255,40115253,50135109,61615730,60243086,48849615,48849614,43376067,34277091,26401980,19667746,19667747,19667736,19667737,268527139,43376043,53899874,50135088,40115239,40115238,43376077,34277099,34277100,43376082,53899901,61615753,50135144,50135143,61615749,59998115,59998116,49987958,39972204,39972203,38691234,31436745,23945784,23945785,31436748,40115312,50135171,60243000,60243001,72979052,86576512,74393160,71118750,71118749,61615725,61615724,60243089,48849618,38929644,31874882,24350238,24350239,31874890,40579282,50623773,49984513,49984512,61462377,64440341,52565052,52565050,64440336,77608705,87009103,87009104,87009099,87009100,86332917,86332918,88562429,74933230,74933231,86332920,257793184,75579915,62639523,51015301,40879230,40879229,33093162,33093160,42041243,52385282,47914545,47914544,59308893,64440325,52565045,42204577,33243004,25492698,25492699,33243008,42204583,42204518 Dl.O(d2) = 36493653,46351435,57700612,50619501,50619500,42799668,37773888,37773887,47695276,59093707,257999397,46351405,46351407,57700577,62119388,62119387,74923709,64440234,64440233,77608638,84340713,74923733,74923732,72960493,60220594,48823486,48823485,60220591,62119396,62119392,62119390,70394654,73393595,60646974,49246318,40576486,31872891,24348837,24348836,31872888,40576479,50619484,46351449,40576469,31872882,31872883,40576472,46691578,46691577,50619517,40576500,40576499,50619514,57700699,46351506,36493691,28031100,28031099,36493687,46351499,57700694,70394669,70394572,57700598,57700597,57700677,46351477,36493671,28031092,28031091,36493666,46351466,57700653,70394628,57700648,46351463,36493664,36493663,46351460,57700646,70394624,57700660,57700661,258623473,83920717,97778905,83920611,70394533,70394534,70394678,63868301,52049150,52049151,57700710,257675048,52385249,50101864,40081206,40081207,50101866,48291910,256617898,72414105,74358413,61581860,50101979,40081291,40081290,50101977,61581859,74358442,87732328,74358374,74358375,258887599,74358444,61581863,50101980,256526391,23907827,17564071,12392774,8374900,5404944,5404943,8374895,12392765,17564045,23907783,31400326,39955380,49972001,61449803,256154378,50101969,50101961,50101962,61581848,61581747,61581703,61581702,50987527,50987528,62609939,61581801,50101919,50101920,50101859,50101860,61581732,64241312,257903338,50101868,50101869,53117897,53117896,65104593,77021331,77021330,78348089,74415475,61635640,50153285,40131748,31451648,23958582,23907825,23907824,256526381,23907774,17564041,17564039,23907771,31400302,40081189,40728614,31981390,24427551,18015206,12768033,12768034,18015208,24427554,25359914,25359913,33093259,269074581,64241319,52385399,52385400,64241320,62163222,62163221,74974807,74358359,61581706,61581704,55202659,44352178,34974653,34974652,44352176,55202656,52385316,42041278,33093184,33093183,42041276,34974651,26895432,26895431,34974649,26895434,20013887,20013888,26895436,34974644,44352169,52385216,42041181,33093333,268488719,18777298,18777299,18777302,25359901,256636353,42041406,33093331,25359980,25359979,256636359,42041273,42041372,33093284,25359939,18777340,13372770,13372771,18777346,25359961,33093199,25359856,18777265,13372722,9139758,268023263,18777264,18777372,18777373,256121093,42041427,42041202,42041201,42041292,256121079,18777269,18777268,25359863,33093121,33093119,31400364,255568921,17564064,23907814,18777277,255658229,33093212,33093124,33093123,255852968,256540766,61681024,61681023,64241279,64241281,77392156,85090607,88076306,74463911,61681038,50197900,40174262,40174261,50197898,61681036,74463907,61681031,50298162,42041188,42041189,52385227,64241207,52394948,52394949,52394955,64250410,77400337,64250406,52394951,52394952,58112611,46742717,268218426,70827635,70827626,256370520,61777652,50298163,50298164,55305818,256540468,255744897,20110686,27000714,35085521,44460780,55305815,64241294,52385366,52385365,64241292,72603148,59865195,48473625,38560511,29990502,29990501,38560509,48473629,59865198,52394957,42051005,33102165,33102166,42051009,40791023,257120711,62508192,59865201,59865200,72603152,86200646,86332905,72735209,59998070,48606592,257556141,59865196,71954882,59216398,47817833,37895814,29327392,21997353,21997354,29327395,37895816,47817836,58685366,47294578,47294579,58685367,71418810,71418825,256337212,37385413,37385412,47294583,58685374,71418815,84992427,89174668,75427184,62508188,62508186,75427182,71912267,64241258,52385328,52385329,64241260,77392143,64241275,64241274,71954907,71954908,85542868,91311142,258326660,256578822,255612976,63970322,63970324,268272882,63521481,257129680,71954850,71954861,85542834,99489653,105039470,90860932,269977595,52053035,52053034,63872094,76982890,90857513,76979191,63868188,63868187,76979188,63868189,52049039,41734501,32813963,25111023,25111024,32813965,41734503,52049040,258926491,270351299,49070505,49070504,60473616,73219981,63868174,63868175,76979181,63868704,52049571,52049572,48012478,38101911,38101912,48012480,257824880,257763389,76979214,63868206,52049053,41734522,32813977,25111031,18561286,13189591,13189592,18561289,25111033,25111294,18561467,13189707,267927547,254639465 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14333064, s2 = 13065565, dlinesl.size( ) = 2 s1 = 14333064, s2 = 13065565, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14333064, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 12971918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10516819, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12972224, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11338555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11338555, s2 = 11261070, int(edited[s2]) = 0 s1 = 11338555, s2 = 11261070, d1 = 2, d2 = 23 Dl.O(d1) = 143036863 Dl.O(d2) = 260853326 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11338555, s2 = 11261070, dlinesl.size( ) = 30 s1 = 11462951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11471115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14350450, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10662537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14345978, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14345978, s2 = 11114450, int(edited[s2]) = 0 s1 = 14345978, s2 = 11114450, d1 = 72, d2 = 0 Dl.O(d1) = 263985971,262829871 Dl.O(d2) = 31599965,255583371 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14345978, s2 = 11114450, dlinesl.size( ) = 52 s1 = 11196551, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11196551, s2 = 13097027, int(edited[s2]) = 0 s1 = 11196551, s2 = 13097027, d1 = 122, d2 = 104 Dl.O(d1) = 258744014,70833909,58119309,58119308 Dl.O(d2) = 262572306,186079267,262837692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11196551, s2 = 13097027, dlinesl.size( ) = 46 s1 = 11332823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11332823, s2 = 11507272, int(edited[s2]) = 0 s1 = 11332823, s2 = 11507272, d1 = 16, d2 = 13 Dl.O(d1) = 261436516,7436048,4698741,4698742,7436050,11206946,16132889,18826356,18826355,13413387,9171174,9171172,13413383,18826398,25418074,22347543,16197587,16197588,22347300,16197417,16197416,16132831,11206924,11206923,16132828,17072952,17072950,13775433,9444151,9444149,13775446,19271912,25934356,33741637,42104490,40105444,38194039,268504254,255285038,24887309,24887311,25936076,19273510,13776694,9444947,6191626,6191625,9444940,13776669,19273452,25936015,22275379,22275378,25935891,29612087,22261557,16121556,11198937,11198936,15207942,15207944,21164507,17498993,12338653,8335652,8335653,12338657,17499004,16844644,11780032,11780030,16844640,23101201,29579231,22276346,16133514,16133513,22276342,29628180,38179680,33158887,29612169,22261626,16121602,16121604,22261633,26606141,22276305,16133491,11207368,11207367,11812317,16882767,23142841,25935974,24754782,24754784,32373496,41192203,46764080,43406033,43406035,48090960,38179343,29612575,29612576,32925184,25210040,25210041,32925188,37354870,36885520,36885521,46763901,43222584,34134800,29612166,29612165,29475686,29475690,36885547,31711100,256548997,259074883,106864249,121132330 Dl.O(d2) = 181516682,190296490,262962807,160311789,160311788,264080363,209734347 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11332823, s2 = 11507272, dlinesl.size( ) = 16 s1 = 12972718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12972748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11373917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 9242423, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15080545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15080545, s2 = 9360425, int(edited[s2]) = 0 s1 = 15080545, s2 = 9360425, d1 = 133, d2 = 115 Dl.O(d1) = 140970895,153638589,262709807,185567675,193827307,264500593,200908980 Dl.O(d2) = 28176754,255907850,12622896,17827596,19087628,21157046,19036857,19036858,18779037,13374381,9141072,9141074,13374383,13564629,13669852,18580774,13204284,9001361,9001360,10015048,6582424,4124156,4124158,6582430,10015067,14554975,20284928,18582016,13205136,13205135,18582014,25135840,32840804,33555517,25765875,19126210,13656105,13656106,19126211,25765876,24263303,24263304,31775670,28499362,21281580,15318669,10580377,10580378,15318674,21281585,28499371,24250879,24250878,27214096,268836395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15080545, s2 = 9360425, dlinesl.size( ) = 72 s1 = 14346036, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15304828, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15304828, s2 = 14369337, int(edited[s2]) = 0 s1 = 15304828, s2 = 14369337, d1 = 11, d2 = 25 Dl.O(d1) = 200214100,193025587,184647208,184647207,193025583 Dl.O(d2) = 175054255,164248525,164248524,152375887,139655457,126285620,112423007,112423008,126285623,126285624,258755536,164248527,175054257,184647215,193025596,200214103,206284250,211302473,215402752,212703231,207924805,202126717,195227978,187157571,263629771,168549948,157101819,157101820,144700653,131474628,117670536,117670537,131474629,117670538,103538330,89442564,75679581,62733347,51102363,40960405,32181437,32181434,32181433,40960401,51102359,62733343,70908538,71980441,59243042,59243041,58196052,257471518,71980488,59243115,59243117,71980490,85567706,258081898,59242962,52868701,42464794,33471297,30717880,30717881,39316320,49243382,60644153,59243025,59243024,59243028,71980427,71980436,70908646,70908645,77981386,64787584,52868735,42464823,256846889,28451712,36951945,46830056,58196048,70908777,59243056,47846295,257499197,58196026,46830060,36951948,28451714,28451715,36951950,257425419,46830067,58196058,70908797,70908584,58195903,58195904,70908588,84464886,84464894,84464893,84464927,70908640,70908641,84464907,91905562,98374171,84465010,70908741,58196021,46830035,46830036,58196014,46830030,46830031,58196016,70908732,59243068,59243067,71980461,70908591,58195911,58195910,70908590,84464890,89365515,89365453,75603504,62660570,62660571,75603507,75603512,70908663,62660550,62660549,75603490,89365433,89365432,75603473,62660534,62660533,65906332,79268509,258950005,62660726,51034079,40896246,40896247,51034081,62660713,62660714,70908597,62660691,51034062,51034059,61247924,70908657,74183624,74183625,74183635,61403802,49924220,39904629,39904632,49924224,61403810,62660701,258324399,61247960,61247959,74028045,84464937,70908650,70908649,84464935,72693928,72693927,86291646,87631702,74027977,74027978,74821356,62024609,268737472,40497457,50532809,62024607,74028104,61248016,49769157,39750698,39750700,49769060,269389663,70832230,58117627,46749022,39750714,39750716,49769125,39750663,31073064,23589831,17278143,17278144,23589833,23589797,17278127,12157748,8188367,8188368,12157753,17278135,23589816,31073040,39750620,49769071,55684594,44776396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15304828, s2 = 14369337, dlinesl.size( ) = 22 s1 = 14346050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11299443, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299443, s2 = 14718202, int(edited[s2]) = 0 s1 = 11299443, s2 = 14718202, d1 = 3, d2 = 6 Dl.O(d1) = 261056923 Dl.O(d2) = 225032268,265444012,178268349,187481193,195498402,202354762,208118951,212871886,216758502,265258671,222697833,219979408,216758509,216758510,219979410,222697837,222697813,222697812,265611859,265611855,222697808,265444009,265765269,266034477,266153138,228828088,265905705,266153135,231769929,230385963,228828125,228828099,227059480,225032234,222697848,219979416,264830056 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299443, s2 = 14718202, dlinesl.size( ) = 8 s1 = 11427073, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568291, s2 = 11571354, int(edited[s2]) = 0 s1 = 11568291, s2 = 11571354, d1 = 27, d2 = 10 Dl.O(d1) = 266697439,239135916 Dl.O(d2) = 241027573,274773660,266428602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568291, s2 = 11571354, dlinesl.size( ) = 34 s1 = 11278393, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14346102, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346102, s2 = 15214959, int(edited[s2]) = 0 s1 = 14346102, s2 = 15214959, d1 = 7, d2 = 7 Dl.O(d1) = 262761871,186294070,194467585,201469021,207362499,212222501,216193654,216193650,216193651,219484867,219484869,222264796,219484871,216193653,216193652,219484869,222264796,219484871,219484870,222264798,224651234,226723691,228530817,228530818,230119218 Dl.O(d2) = 262761871,186294070,194467585,201469021,207362499,212222501,216193654,216193650,216193651,219484867,219484869,222264796,219484871,216193653,216193652,219484869,222264796,219484871,219484870,222264798,224651234,226723691,228530817,228530818,230119218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346102, s2 = 15214959, dlinesl.size( ) = 2 s1 = 14346102, s2 = 15214959, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14346102, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 11524735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12973468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15320301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12973740, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14346674, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346674, s2 = 10349256, int(edited[s2]) = 0 s1 = 14346674, s2 = 10349256, d1 = 45, d2 = 102 Dl.O(d1) = 267474796,274986090 Dl.O(d2) = 75964734,75964735,257141150,28406900,25080309,18537005,18537004,22363338,25202254,26096284,268012980,13454504,13454503,14444052,18885102,18885100,13458170,9203344,6025430,3769437,2258450,2258453,3768816,3768821,3769330,5821796,5821792,5968027,5968028,9120663,13347717,260858385,261962909,146849675,261962909,272234370,259439440,256459470,63892376,59591461,56198739,45672213,35993273,27671951,24980725,22373180,18583610,13206065,9002335,5877050,3669625,2196510,2196509,3669682,5877517,3669577,3669581,5877533,9003267,10114544,6641441,6641440,10114535,14708266,20500720,27505436,35731992,41766961,41766962,52080533,54691846,255374052,33620696,33620695,42648261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346674, s2 = 10349256, dlinesl.size( ) = 66 s1 = 11638061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11638061, s2 = 7497431, int(edited[s2]) = 0 s1 = 11638061, s2 = 7497431, d1 = 22, d2 = 20 Dl.O(d1) = 267578067,246786452,246848293,267604667 Dl.O(d2) = 267235498 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11638061, s2 = 7497431, dlinesl.size( ) = 36 s1 = 16238526, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12973822, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11507345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507345, s2 = 7746928, int(edited[s2]) = 0 s1 = 11507345, s2 = 7746928, d1 = 43, d2 = 36 Dl.O(d1) = 219969321,222688526,225023315,265904927 Dl.O(d2) = 274290350 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507345, s2 = 7746928, dlinesl.size( ) = 40 s1 = 14333700, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11048929, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11548963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548963, s2 = 11654986, int(edited[s2]) = 0 s1 = 11548963, s2 = 11654986, d1 = 4, d2 = 19 Dl.O(d1) = 230253515 Dl.O(d2) = 266146676,229182602,227471606,227471605,229182601,227471608,225515568,223267664,223267663 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548963, s2 = 11654986, dlinesl.size( ) = 16 s1 = 15320345, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11547315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11547315, s2 = 7089612, int(edited[s2]) = 0 s1 = 11547315, s2 = 7089612, d1 = 17, d2 = 10 Dl.O(d1) = 265992505 Dl.O(d2) = 262411190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11547315, s2 = 7089612, dlinesl.size( ) = 14 s1 = 12941767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12941785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14346268, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346268, s2 = 14486936, int(edited[s2]) = 0 s1 = 14346268, s2 = 14486936, d1 = 48, d2 = 68 Dl.O(d1) = 264741801 Dl.O(d2) = 28954275,26167483,19466880,13931881,13931882,19466885,21673752,26167499,34009179,42575616,43389266,256151258,24011509,17664436,17664437,24011513,31511764,256665994,43062400,48729970,38809525,36824455,28328895,25539235,25539236,28950742,26166913,26166916,28910048,24688078,24688079,23975058,17627057,17627055,21947829,28283509,29270353,36823402,29317803,255441567,15892502,21989277,255677406,16834994,11772783,11772784,16834997,13686700,9373079,9373078,13686697,19166664,25816086,31894336,24366198,17970462,17970463,24366199,31894340,40603277,47401212,256041052,47809155,42420821,42420820,256655302,47811396,37889110,37889111,44350333,37888890,29320585,23336153,17069876,11980709,11980713,17069836,13924874,9557913,6271705,3926838,3926837,6271684,6271686,9557858,13924761,15893027,11017669,7294018,4600004,4600007,7293930,7293927,10590579,13932961,15333990,21302664,28524284,25712277,19460299,19460295,17352994,12224475,8253541,8253540,12224469,17352984,23672237,21156429,15200845,15200846,15140737,15140736,21078278,24240701,23319942,17055307,11964573,11964571,15134073,15134074,19466840,26167424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346268, s2 = 14486936, dlinesl.size( ) = 50 s1 = 11308819, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14346282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14085231, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11503081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11503081, s2 = 15332125, int(edited[s2]) = 0 s1 = 11503081, s2 = 15332125, d1 = 43, d2 = 162 Dl.O(d1) = 218948765 Dl.O(d2) = 262353213,143370740,261846713,167527734,177998665,177998666,262353215,260731795,116128712,260134971,88083781,258273479,50205489,40182654,257081373,24000338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11503081, s2 = 15332125, dlinesl.size( ) = 98 s1 = 11033177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11033177, s2 = 11041618, int(edited[s2]) = 0 s1 = 11033177, s2 = 11041618, d1 = 18, d2 = 1 Dl.O(d1) = 15267592,15267593,18722501,18722500,25296825,21237421,15269069,10536093,6948343 Dl.O(d2) = 2616227,4366186,6948335,254268256,9256298,9263427,254843608 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11033177, s2 = 11041618, dlinesl.size( ) = 24 s1 = 11524877, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524877, s2 = 8207154, int(edited[s2]) = 0 s1 = 11524877, s2 = 8207154, d1 = 50, d2 = 9 Dl.O(d1) = 265509132,201679619,207537910,212368699,216317210,219591916 Dl.O(d2) = 67683164,259790017,72429012,72429014,86026793,99654915,99654914,101003732,87010139,73394576,60648027,58550439,58550438 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524877, s2 = 8207154, dlinesl.size( ) = 52 s1 = 7940630, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13994042, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15297206, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15297206, s2 = 9459756, int(edited[s2]) = 0 s1 = 15297206, s2 = 9459756, d1 = 80, d2 = 45 Dl.O(d1) = 259084900,269541890,34232649,26357515 Dl.O(d2) = 162443228,150307336,137266426,257213254,95089563,255675534,55218641,55218640,59571057,59571056,65164530,65164529,255271350,256140544,34989424,256314469,21313108,15342822,15342823,21313110,28535927,37033968,38951374,34989442,34989443,44367521,55218642,55218664,44367554,38951366,30365075,22963160,22963161,30365077,30365071,22963156,22963157,30365072,38951360,32730018,25041944,18507206,13148973,8962100,5850110,3651192,3651190,4897580,2951668,2951669,3741987,5984337,7586883,4893913,4893912,7730791,4895353,2950194,2950196,4895286,4895429,4895456,4865715,4865711,4865502,4862952,2934728,1702022,967529,967532,1701971,1701968,1698944,967577,967578,966056,966054,1699060,2929081,4860646,2930627,2930624,4863369,7686030,4867136,2932842,2932841,4867132,2934139,2934138,2934156,2934155,4273853,2555269,1471871,1471873,2555276,4273873,6813927,7684060,11549646,8624476,8624478,11054222,7690678,4866782,4866779,4810581,2899265,2899268,2899249,2899250,4810550,4465102,2682583,267825659,7091568,7585530,10349736,6814689,6814688,7738744,4899839,2953103,2953104,4899842,4807804,2897609,1681318,1681317,2897604,2899608,1682297,1682295,2899597,4811158,4804294,4804297,7595101,11419035,16395603,11434964,7731585,4894545,4894547,7731591,7620159,7620158,4821767,2953756,2953752,4900909,4809860,4809865,4309637,2954282,1713127,1713104,973466,973467,1713107,2954245,4901657,7741172,11622828,16655229,22883936,30281498,38867047,257571493,260106711,95089566,95089567,98533545,84609073,71045291,58329851,58329850,71045289,72829156,60091832,60091831,72829154,86424161,100379688,90736012,76861126,76861127,84947937,84609050,71045253,71045255,71045258,71045259,71045264,256862552,84609059,71045273,71045271,84609060,258074215,37455565,28916183,28916184,37455568,47361711,47361701,37455556,28916177,21641808,21641809,22802730,16585677,254795735,4872145,2935946,2935947,4872146,7698145,254970629,9866016,14358360,10503982,267880971,2605822,2605821,4351086,6926208,10503980,11957026,254565969,3093125,1807317,1032270,254103411,325328,581778,1032269,1807316,3093124,5095824,8004372,11957024,17044263,15563794,11957837,8004879,5096116,5096114,8004875,11568588,11568591,16588782,13093523,13093524,13379252,9144787,9144783,8932780,5830451,5830449,7701471,4874217,2937099,2937098,4874224,7701487,8004033,9166092,5999343,5999345,4654748,2804190,1626779,1626778,2804188,4654738,267972887,16002218,22114765,29448305,38010558,47925327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15297206, s2 = 9459756, dlinesl.size( ) = 2 s1 = 15297206, s2 = 9459756, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15297206, Dl.E( ) = 86, 3.79e-05 seconds used appending s1 = 7930378, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12943967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13448607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11172953, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172953, s2 = 1975834, int(edited[s2]) = 0 s1 = 11172953, s2 = 1975834, d1 = 58, d2 = 47 Dl.O(d1) = 258642465,98132830,112092794,125926990 Dl.O(d2) = 256471305,49167007,51057985,57802902,256819481 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172953, s2 = 1975834, dlinesl.size( ) = 22 s1 = 11039027, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11135801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11135801, s2 = 6710269, int(edited[s2]) = 0 s1 = 11135801, s2 = 6710269, d1 = 15, d2 = 57 Dl.O(d1) = 43946277 Dl.O(d2) = 257592139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11135801, s2 = 6710269, dlinesl.size( ) = 30 s1 = 11450013, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11405171, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11097219, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11097219, s2 = 4786931, int(edited[s2]) = 0 s1 = 11097219, s2 = 4786931, d1 = 47, d2 = 31 Dl.O(d1) = 257736195,76152307,89960692,104091814,260816061,145304354,272957667,132069471,260219489 Dl.O(d2) = 195205119,263242761,273149098 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11097219, s2 = 4786931, dlinesl.size( ) = 18 s1 = 12980052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12980052, s2 = 11410938, int(edited[s2]) = 0 s1 = 12980052, s2 = 11410938, d1 = 3, d2 = 29 Dl.O(d1) = 52308990 Dl.O(d2) = 88076445,74464046,74464047,260731119,143363283,262352685,143141161,143141160,263240355,184081562,262621011 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12980052, s2 = 11410938, dlinesl.size( ) = 18 s1 = 11605895, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351580, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14351580, s2 = 2171666, int(edited[s2]) = 0 s1 = 14351580, s2 = 2171666, d1 = 175, d2 = 36 Dl.O(d1) = 270350434,115806515,129705488,260058528,102256026,102256020,102256021,116350588,115056812 Dl.O(d2) = 113079047,99091081,259953175,85168869,71603977,58884241,47505034,47505033,58884239,64404987 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14351580, s2 = 2171666, dlinesl.size( ) = 20 s1 = 10998721, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11298183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11298183, s2 = 7578660, int(edited[s2]) = 0 s1 = 11298183, s2 = 7578660, d1 = 68, d2 = 80 Dl.O(d1) = 259180811 Dl.O(d2) = 269320598,33380563,268388564 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11298183, s2 = 7578660, dlinesl.size( ) = 10 s1 = 11464385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464385, s2 = 11079364, int(edited[s2]) = 0 s1 = 11464385, s2 = 11079364, d1 = 105, d2 = 100 Dl.O(d1) = 205974295,264709343,264945018,223983108,265833731 Dl.O(d2) = 10355778,10355779,10297546,6770327,5921893,3702959,2217874,2217873,3702955,5921888,9057655,9057651,5922727,5922728,6758938,6758939,10283342,6794205,4259981,2546725,2224532,1290308,736535,736533,736643,736708,418794,418799,736740,1290660,2225149,3715923,4249902,6772330,5946400,3718637,3718633,2226785,2226788,3718685,4249288,6237650,6237653,9510176,10297968,6770738,4243710,4243713,5373471,8326088,9096762,9096764,6822584,6821512,4852283,4852280,6747262,6747259,6821646,6747824,4228201,4228196,4229044,4229043,6747144,10267665,6792978,6792977,5924926,4308672,2576395,1483888,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6756393,6756392,6756458,4233873,2531437,1458808,825884,466341,466342,825889,1458821,2531394,1458790,1458791,2531397,254321683,2531406,2225364,2225363,3716316 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464385, s2 = 11079364, dlinesl.size( ) = 22 s1 = 11406189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406189, s2 = 11024064, int(edited[s2]) = 0 s1 = 11406189, s2 = 11024064, d1 = 30, d2 = 34 Dl.O(d1) = 261854444 Dl.O(d2) = 256036140,24116184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406189, s2 = 11024064, dlinesl.size( ) = 40 s1 = 12241049, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12241049, s2 = 8557745, int(edited[s2]) = 0 s1 = 12241049, s2 = 8557745, d1 = 125, d2 = 101 Dl.O(d1) = 8299862,5354437,5354438,8299884,12289738,17435733,20203638,20203637,27103630,31247600,23763266,17435581,12289615,8299803,5354396,254590463,255169693,23763257,25018208,254693668,32701044,25017549,25017548,25018042,25018043,25017605,268049534,32701607,25018030,18488045,13134549,13134547,268287121,13134358,13134357,18487762,13134525,13134524,18488019,256098633,257166457,40847036,269026225,41194370,41194386,32375468,32375458,24756392,18280843,18280844,18074657,255608805,32076097,24502843,255215335,12813921,18074654,256063637,40847027,32701035,25017542,25017541,32701034,41603873,48444571,51385182,51904255,256612458,41622642,51573628,41352448,41352447,41603833,41603834,51903666,42516323,33516394,33516395,42516324,48444560,38536056,29970076,29970077,38536058,48444564,256963385,38536050,48444555,59830822,269063250,49940908,49940907,41603988,41603987,50980456,55391056,44543745,35166074,35166073,44543743,55391051,67731362,81151829,67686120,67686119,64852347,52926799,52926800,52926809,42516288,36766441,36766443,46651251,58023742,257918842,256753652,64852359,52926819,52774461,42375488,33386768,25621230,25621231,33386770,42375491,256824928,55421569,44574350,35196138,35196107,35196108,44570614,55417785,52091305,52091306,63910105,77021461,67761520,55421577,44574357,44574356,46651170,36766343,28271388,28271389,36766346,46651176,58023685,70737963,81227556,70737950,58023673,58023674,61466331,49988871,39972948,31298728,23812856,17478902,17478901,23812853,27106701,20206287,14499318,12337395,12337397,17497611,15133726,10437746,6880822,6880821,10437744,15133723,21068610,17497634,12337411,268111703,23837404,31328796,36766431,28271488,21068658,21068659,28271489,28271502,27105111,20204898,14498133,14498134,14497109,9975172,6556049,6556050,9975174,14497114,15173320,21120914,28332402,28271477,28271476,36766418,38669079,38669081,38669286,30092176,22710554,22710555,30092178,38669083,30091939,22710329,16506341,11502168,7650973,4840809,4840808,6556073,6556074,9975219,14497192,20203672,20203601,14497147,9975190,267818088,20203605,22080748,22080747,254474056,18137368,12861477,12861478,9975215,254153602,254317672,4840865,7651067,11502329,16506558,256973907 Dl.O(d2) = 105465384,260857195,146837312,159210320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 14347098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14347098, s2 = 2669285, int(edited[s2]) = 0 s1 = 14347098, s2 = 2669285, d1 = 58, d2 = 76 Dl.O(d1) = 261003639,150545166,162663736 Dl.O(d2) = 259589643,260802061,272330566,144934522,131686203,260202825,89587895,75805337 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14347098, s2 = 2669285, dlinesl.size( ) = 38 s1 = 11491281, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14299146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12858588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15305704, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15305704, s2 = 10495624, int(edited[s2]) = 0 s1 = 15305704, s2 = 10495624, d1 = 0, d2 = 0 Dl.O(d1) = 68073889,55674959,55674958,68073887,55674961,44765594,35339270,27215178,20286734,254985231,6583702,4125045,2467746,1426438,1426437,2467740,4125028,6583677,10016667,14556765,20286692,17576843,12405004,12405005,12068585,12068584,12410877,11169023,8373900,8373903,8370721,5402352,3326787,3326784,3333621,5411883,8386654,10508112,10508113,12260251,17397414,23720457,28247606,36743476,31194585,31194586,254331244,17389289,23712956,21047421,17391348,12255621,12255619,17391339,23715186,23732282,23901555,17557049,16984851,16984852,13460845,9205251,254647986,268142378,33243880 Dl.O(d2) = 68073889,55674959,55674958,68073887,55674961,44765594,35339270,27215178,20286734,254985231,6583702,4125045,2467746,1426438,1426437,2467740,4125028,6583677,10016667,14556765,20286692,17576843,12405004,12405005,12068585,12068584,12410877,11169023,8373900,8373903,8370721,5402352,3326787,3326784,3333621,5411883,8386654,10508112,10508113,12260251,17397414,23720457,28247606,36743476,31194585,31194586,254331244,17389289,23712956,21047421,17391348,12255621,12255619,17391339,23715186,23732282,23901555,17557049,16984851,16984852,13460845,9205251,254647986,268142378,33243880 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15305704, s2 = 10495624, dlinesl.size( ) = 2 s1 = 15305704, s2 = 10495624, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15305704, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15334548, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10449269, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15317460, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15305892, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15305892, s2 = 15321414, int(edited[s2]) = 0 s1 = 15305892, s2 = 15321414, d1 = 6, d2 = 10 Dl.O(d1) = 100352996,86395890,72799765,60060994,48664157,268104416,254575242,16557225,22771445 Dl.O(d2) = 30565529,39163080,38742469,255539186,60060992,72799762,73564941,60818573,49418677,39489172,258752415,269339945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15305892, s2 = 15321414, dlinesl.size( ) = 2 s1 = 15305892, s2 = 15321414, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15305892, Dl.E( ) = 12, 2.48e-05 seconds used appending s1 = 16112154, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16112154, s2 = 11082200, int(edited[s2]) = 0 s1 = 16112154, s2 = 11082200, d1 = 40, d2 = 30 Dl.O(d1) = 229963045,231387320,229963084,228358021,226529648,224431222,222015067,219201276,265199439,224431206,224431205,224431164,222015033,219201252,215867400,215867399,219201250,222015030,224431159,226529558,228357935,228357942,265864301,229962976,228357898,228357897,265982304,224431167,224431168,226529570,228357941,228357914,226529539,226529540,228357916,229962995,231387294,266229117,232664005,232664004,232663996,232663997,232663992,231387303,229963026,228357951,226529583,224431174,222015041,219201259,215867406,211836758,206902599,200929421,264758847,219201244,219201245,222015021,224431148,265719765,229962984,228357905,226529531,226529530,224431199,224431201,226529621,226529603,224431185,224431186,265719771,228357973,228357974,229963040,228357965,228357903,228357902,226529618,265546070,215867413,211836760,264475378,193849346,185590400,176126171,263543491,200929419,206902594,211836746,215867390,219201245,222015021,224431148,265719765,229962984,228357905,226529531,226529532,274663122,231387336,266117547,229963081,228358018,226529645,226529646,228358013,226529640,265719779,226529552,224431155,222015027,219201248,215867394,264734582,200929422,193849346,185590400,176126171,262668512 Dl.O(d2) = 257459062 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16112154, s2 = 11082200, dlinesl.size( ) = 8 s1 = 11166301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166301, s2 = 6428831, int(edited[s2]) = 0 s1 = 11166301, s2 = 6428831, d1 = 20, d2 = 40 Dl.O(d1) = 65257746 Dl.O(d2) = 254254275 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166301, s2 = 6428831, dlinesl.size( ) = 14 s1 = 12982954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14996097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14996097, s2 = 11028888, int(edited[s2]) = 0 s1 = 14996097, s2 = 11028888, d1 = 83, d2 = 41 Dl.O(d1) = 194110169,201156791,207093293,264768239,219307669,219307670 Dl.O(d2) = 65330912,63016436,51335460,51335459,63016430,51335457,41150078,32334877,24718736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14996097, s2 = 11028888, dlinesl.size( ) = 12 s1 = 12983234, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12920327, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11246077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11246077, s2 = 11444506, int(edited[s2]) = 0 s1 = 11246077, s2 = 11444506, d1 = 30, d2 = 36 Dl.O(d1) = 261158923 Dl.O(d2) = 53868271,43343770,256636140,65935062,79297719,93425528,107849525,122258526,263003107,262925812 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11246077, s2 = 11444506, dlinesl.size( ) = 44 s1 = 11085685, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11072921, s2 = 13030515, int(edited[s2]) = 0 s1 = 11072921, s2 = 13030515, d1 = 3, d2 = 8 Dl.O(d1) = 33548224,42564859 Dl.O(d2) = 255712116,92279991,257261024,134622753 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11072921, s2 = 13030515, dlinesl.size( ) = 10 s1 = 11639585, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639585, s2 = 12621416, int(edited[s2]) = 0 s1 = 11639585, s2 = 12621416, d1 = 6, d2 = 6 Dl.O(d1) = 267584383,267569631,246496212,246415320,246329433,267523997,267445449,245274918,267394595,244768091,244576064,244369736,267288131,243649339,243372708,243077080,242762523,242424753,267066591,274855747,239735600,239153060,238519541 Dl.O(d2) = 267584383,267569631,246496212,246415320,246329433,267523997,267445449,245274918,267394595,244768091,244576064,244369736,267288131,243649339,243372708,243077080,242762523,242424753,267066591,274855747,239735600,239153060,238519541 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639585, s2 = 12621416, dlinesl.size( ) = 2 s1 = 11639585, s2 = 12621416, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11639585, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 11399303, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11585125, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585125, s2 = 8072218, int(edited[s2]) = 0 s1 = 11585125, s2 = 8072218, d1 = 30, d2 = 34 Dl.O(d1) = 266436016 Dl.O(d2) = 40078603,32535234,32535010,24889991,18390050,18390051,21428178,25762305,23386752,17115153,12027300,12026802,8085593,5180651,5180652,8085595,8085718,5180719,5180720,8085726,10486974,10486971,8085309,8085307,12026293,16197252,16197253,15203878,15203879,21160049,18390748,13687791,9373884,9373881,13687781,12751061,12751063,9862303,6478388,6478389,9862310,14353676,18390592,18390589,13850594,9501596,6232147,6232146,9501590,13850580,19363724,17114287,17113171,12026032,8085166,5180434,3160885,1850453,1850450,3160873,5180411,8085126,12025958,17113051,23383812,25828535,30815132,23385914,23385912,25828582,19176574,19176575,23384573,17113615,17113616,23384580,24979606,28952883 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585125, s2 = 8072218, dlinesl.size( ) = 22 s1 = 11418693, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11021899, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11021899, s2 = 8430573, int(edited[s2]) = 0 s1 = 11021899, s2 = 8430573, d1 = 45, d2 = 72 Dl.O(d1) = 255973921,258208181,86973918,100958276,115012584,128914560 Dl.O(d2) = 270402786,65127010,65127009,78408728,92444391,260313977,121001860,106749177,92444398,78408732,78408731,92444397,106749176,121001860,121001857,121001858,106749172,92444393,257095712 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11021899, s2 = 8430573, dlinesl.size( ) = 54 s1 = 12984810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12984858, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428765, s2 = 8294584, int(edited[s2]) = 0 s1 = 11428765, s2 = 8294584, d1 = 52, d2 = 27 Dl.O(d1) = 264637087,264709002,221859729,224293850,265854117 Dl.O(d2) = 258087296,47547337,47547338,58929718,71651677,259336799,71651672,257477490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428765, s2 = 8294584, dlinesl.size( ) = 18 s1 = 11389981, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389981, s2 = 1127967, int(edited[s2]) = 0 s1 = 11389981, s2 = 1127967, d1 = 18, d2 = 21 Dl.O(d1) = 159452481 Dl.O(d2) = 28941436,28941437,37483298,42753641,42753640,53202697 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389981, s2 = 1127967, dlinesl.size( ) = 2 s1 = 11389981, s2 = 1127967, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11389981, Dl.E( ) = 36, 1.72e-05 seconds used appending s1 = 12883926, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11233265, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11480607, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480607, s2 = 11149466, int(edited[s2]) = 0 s1 = 11480607, s2 = 11149466, d1 = 18, d2 = 11 Dl.O(d1) = 263560270,185477756,185477755,193745156,193745159,185477757,176004273,176004272 Dl.O(d2) = 258151114 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480607, s2 = 11149466, dlinesl.size( ) = 8 s1 = 11324513, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11324513, s2 = 11145426, int(edited[s2]) = 0 s1 = 11324513, s2 = 11145426, d1 = 58, d2 = 0 Dl.O(d1) = 262087157,261689259,113346737 Dl.O(d2) = 21875774,15800635,254753183 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11324513, s2 = 11145426, dlinesl.size( ) = 46 s1 = 11548245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11548245, s2 = 1229476, int(edited[s2]) = 0 s1 = 11548245, s2 = 1229476, d1 = 99, d2 = 102 Dl.O(d1) = 228504100,265578610 Dl.O(d2) = 10376858,15050553,255370685,28137811,36611437,31062819,23579038,23579037,31062818 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11548245, s2 = 1229476, dlinesl.size( ) = 32 s1 = 10985313, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10985313, s2 = 11039038, int(edited[s2]) = 0 s1 = 10985313, s2 = 11039038, d1 = 7, d2 = 13 Dl.O(d1) = 254807465 Dl.O(d2) = 256048548,29702122,22347830,22347829,269811087 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10985313, s2 = 11039038, dlinesl.size( ) = 18 s1 = 15242009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15242009, s2 = 9717866, int(edited[s2]) = 0 s1 = 15242009, s2 = 9717866, d1 = 10, d2 = 10 Dl.O(d1) = 176045616,165355339,262705827,165355339,153566115,140891809,127536457,127536456,113664948,113664947,127536463,140891820,153566136,262705835,165355356,153566134,262226931,153566124,153566125,165355344,262226927,153566110,165355331,165355348,176045626,176045632,165355356,262705833,176045634,176045615,165355338,261711245,127536457,113664945,113664946,127536458,140891811,153566119,153566128,140891816,140891817,153566130,263143725,193780266,200866939,206847646,274097651,215825478 Dl.O(d2) = 176045616,165355339,262705827,165355339,153566115,140891809,127536457,127536456,113664948,113664947,127536463,140891820,153566136,262705835,165355356,153566134,262226931,153566124,153566125,165355344,262226927,153566110,165355331,165355348,176045626,176045632,165355356,262705833,176045634,176045615,165355338,261711245,127536457,113664945,113664946,127536458,140891811,153566119,153566128,140891816,140891817,153566130,263143725,193780266,200866939,206847646,274097651,215825478 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15242009, s2 = 9717866, dlinesl.size( ) = 2 s1 = 15242009, s2 = 9717866, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15242009, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11651687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651687, s2 = 13209375, int(edited[s2]) = 0 s1 = 11651687, s2 = 13209375, d1 = 111, d2 = 0 Dl.O(d1) = 274235899 Dl.O(d2) = 8917551,6011586,6011585,9184988,11500833,16504815,22708819,30090386,255709436 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651687, s2 = 13209375, dlinesl.size( ) = 66 s1 = 11452227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11655183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11655183, s2 = 11607484, int(edited[s2]) = 0 s1 = 11655183, s2 = 11607484, d1 = 11, d2 = 19 Dl.O(d1) = 266296439,235488733 Dl.O(d2) = 236389263,274764961,266775365,239843446,240373777,240864892,266940754,267073522 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11655183, s2 = 11607484, dlinesl.size( ) = 2 s1 = 11655183, s2 = 11607484, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11655183, Dl.E( ) = 20, 7.87e-06 seconds used appending s1 = 11504095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11450345, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11450345, s2 = 11519180, int(edited[s2]) = 0 s1 = 11450345, s2 = 11519180, d1 = 172, d2 = 125 Dl.O(d1) = 263494388 Dl.O(d2) = 224572417 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11450345, s2 = 11519180, dlinesl.size( ) = 92 s1 = 11211507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11211507, s2 = 7206877, int(edited[s2]) = 0 s1 = 11211507, s2 = 7206877, d1 = 3, d2 = 41 Dl.O(d1) = 85219735 Dl.O(d2) = 211603260,206634902,263994970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11211507, s2 = 7206877, dlinesl.size( ) = 68 s1 = 11481941, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481941, s2 = 11553900, int(edited[s2]) = 0 s1 = 11481941, s2 = 11553900, d1 = 16, d2 = 27 Dl.O(d1) = 264124556,266237431,234938226 Dl.O(d2) = 266852080 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481941, s2 = 11553900, dlinesl.size( ) = 38 s1 = 11172627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11172627, s2 = 11239082, int(edited[s2]) = 0 s1 = 11172627, s2 = 11239082, d1 = 36, d2 = 15 Dl.O(d1) = 57843324,57843323 Dl.O(d2) = 97956418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11172627, s2 = 11239082, dlinesl.size( ) = 38 s1 = 6398097, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14347919, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13999437, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10850081, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12955437, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10567995, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10567995, s2 = 13211774, int(edited[s2]) = 0 s1 = 10567995, s2 = 13211774, d1 = 61, d2 = 44 Dl.O(d1) = 85653508,85653509,99603452,99603454,85653513,85653512 Dl.O(d2) = 8344851,6748354,6748353,10269211,14932398,20830751,27994981,36453456,46306360,57651089,70341663,83866939,97725869,111646614,125449132,138778106,151479557,163363647,174217033,183887462,192362752,192408820,183940602,174276984,262931664,151545036,138842528,125510124,261436806,97781787,83923278,70397135,259028462,46353806,36495969,28033257,20865440,14963319,10295742,6768710,6768711,9076619 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10567995, s2 = 13211774, dlinesl.size( ) = 16 s1 = 12987036, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16180931, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16380421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16380421, s2 = 11356974, int(edited[s2]) = 0 s1 = 16380421, s2 = 11356974, d1 = 41, d2 = 31 Dl.O(d1) = 37964256,29399604,22068932,256378169,22050057,15946797,11066182,7339675,4636103,4634506,2791764,1619519,1619518,2791760,4634495,2794018,2794015,4638684,7336424,9780523,9775989,9775990,7340362,4636502,2792836,2792837,4636510,4637188,4637189,6003398,3754414,3754413,6003393,9172277,9203631,11068351,7339059,7339060,7336092,4634037,4634035,3769511,3769510,4634621,7337100,4640118,4640116,7339869,4636217,4636214,2792719,1619977,1619978,1619986,1619989,2791920,1619594,921213,519406,291227,291224,519390,921181,1619701,2792124,4635082,7337852,7334017,7334018,7344221,7344219,9985850,7340327,4636487,2793954,2793952,4638556,7343961,6230829,4638409,4638410,7343729,7343863,11075374,15958274,22062722,28916574,21642126,15610239,11033988,7308841,7308840,8945830,13125212,15912262,15935137,15935138,22037092,15939460,15939462,11789270,7872290,7872291,7332583,4632137,4632139,7332616,7339313,4635903,4635906,4635932,4635936,7339396,11068828,15950033,15965049,15927175,15927174,18929881,18929879,14512049,9985744,6563203,6563199,6563197,9985737,14512040,254868406,29376801,22046174,15943153,11063487,11063485,15943149,22046167,29376795,30533991,30533992,29368313,29368314,22061757,22038183,22038184,20809796,20809794,27973369,29374088,37924858,37924859,33239869,25490338,18886507,18886503,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948187,16131547,15963397,15963400,16129844,16129849,11204864,11204865,16129859,22271534,19629083,19629082,26360217,27221724,27221725,34583027,255725156,18925675,18922124,18922125,18927755,13493510,13493511,15882386,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424752,9178608,8471150,8471151,9778445,9615865,6316091,6316093,7883830,7435213,7435210,11205536,12978198,18285028,24761680,32381638,41201683,254962424 Dl.O(d2) = 263148558 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16380421, s2 = 11356974, dlinesl.size( ) = 40 s1 = 12987226, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14352396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14352396, s2 = 2411197, int(edited[s2]) = 0 s1 = 14352396, s2 = 2411197, d1 = 15, d2 = 17 Dl.O(d1) = 53763146,43247224 Dl.O(d2) = 65822806 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14352396, s2 = 2411197, dlinesl.size( ) = 8 s1 = 10994567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11035127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11035127, s2 = 11412514, int(edited[s2]) = 0 s1 = 11035127, s2 = 11412514, d1 = 45, d2 = 59 Dl.O(d1) = 15655324,255854179,259048412 Dl.O(d2) = 257404378,272102059,162776149,173773806,183541260,262139658,273963301,218457639,221361134,264710832,265812746,223659169,265128150,182955720 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11035127, s2 = 11412514, dlinesl.size( ) = 60 s1 = 11096123, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11313891, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11230885, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11248717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248717, s2 = 11149712, int(edited[s2]) = 0 s1 = 11248717, s2 = 11149712, d1 = 18, d2 = 27 Dl.O(d1) = 258155937,48481053 Dl.O(d2) = 72610860,72610855,59872702,59872703,72610856,72610859,59872705,48481054,38567668,29997175,22628334,16442190,16442189,22628332,29997174,38567666,48481050 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248717, s2 = 11149712, dlinesl.size( ) = 20 s1 = 11329955, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11329955, s2 = 7094951, int(edited[s2]) = 0 s1 = 11329955, s2 = 7094951, d1 = 36, d2 = 87 Dl.O(d1) = 260637262 Dl.O(d2) = 264638922,222625382,264638920,216665667,219897733,219897732,219897733,264368592,208000263,202219756,195344819,262488030 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11329955, s2 = 7094951, dlinesl.size( ) = 62 s1 = 11609113, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11609113, s2 = 11526628, int(edited[s2]) = 0 s1 = 11609113, s2 = 11526628, d1 = 20, d2 = 27 Dl.O(d1) = 266913500 Dl.O(d2) = 237743044,238173689,274758476,234815045,266367054 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11609113, s2 = 11526628, dlinesl.size( ) = 18 s1 = 12956633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14335880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14335880, s2 = 14245750, int(edited[s2]) = 0 s1 = 14335880, s2 = 14245750, d1 = 17, d2 = 8 Dl.O(d1) = 19609434,26337922,34211651,43309914,48618204,48618203,47725284,38697791,38697792,34211742,26337979,26337977,34211734,37803724,37803723,38701590,30124757,30124756,26337956,19609454,19609455,25458725,18859166,13436874,9186745,6012649,6012648,9186738,13436861,18859143,25458691,30121234,22738996,16531679,11521673,7664266,7664267,11521676,16531688,22739023,30121269,38698185,34211571,34211573,38697733,38697734,30126399,30126398,38700832,42166366,48613672,59123340,47725138,47725139,47725126,47725125,43310030,34211779,26338004,19609476,14051351,14051352,19609478,26338009,34211786,30126607,30121343,30121345,30126333,22743862,16535886,11525275,11525276,16535890,22743868,30126367,22744133,22744134,30124620,22742104,22742105,30124623,30126848,22744259,22743946,16535952,11525305,7667250,7667251,11525309,16531739,16531738,22739116,22739094,22739095,16536084,11525396,11525397,16536090,22744147,30126721,38703298,30126490,30126491,30126769,22744180,22744050,16536019,11525351,11525352,16536024,22744056,30126612,30126324,22743824,16535869,16535868,22743822,30126320,38701436,30124515,30124514,38701431,254243156,30123324,30122935,30122934,22744264,16536182,16536181,22744261,30126851,30126348,22743847,16535877,11525271,254792466,2923587,2923586,4851421,7667236,11525266,16535866,254362846,16533348,22741095,16534758,11524238,7666208,4850543,2922913,1695512,1695513,2922916,4850549,7666220,11522853,11522822,11522823,16533124,11523536,11523537,11523148,11522938,7665205,7665204,11522932,11522089,7664554,4849388,2922484,2922483,4849907,7665236,4849883,2922467,2922466,2922579,1695281,963998,543229,304424,304423,543226,963993,1695276,2922575,4850068,4849760,4849761,7665025,11522635,16532867,22740491,16532989,11522752,7665101,4849813,2922424,2922422,4849806,4849986,4849984,7665366,7665150,7665148,11522837,16533150,11523391,11523392,11523150,11522921,7665198,7665200,11522924,11522071,7664543,4849384,4849383,7664539,11522062,11522950,7665212,4849872,4849873,7665220,7665330,4849935,2922497,1695240,963987,963985,1695261,2922549,4850045,7665273,7665272,11522639,16532862,16532863,22740483,22741038,16535825,16535824,22743766,22741653,22741654,22741448,16533627,11523243,7665433,7665374,7665373,11523163,16533528,11523269,7665444,7665445,7664584,4849411,4849413,7664592,11522138,16532357,16532239,11522054,11522052,16532233,22739828,22740984,16533268,16532948,11522693,7665064,7665063,11522689,11523076,7665467,4850004,4850002,7665460,11523306,16533742,22741579,30122980,22741791,22741787,30124349,38700284,48615753,48616261,38701058,30124096,30124095,38700840,30124303,30124304,30123713,30123712,30122893,22740642,22740641,30123225,30124000,22741466,22739920,22739921,30122489,30122498,22741504,16533681,16533682,22741506,16533747,16533749,22741510,22741511,30124043,30123139,22740553,16532924,11522676,11522674,16532919,22740543,16533707,11523288,11523291,16533710,16533733,22740346,16532709,16532708,22740343,30122987,38700202,48615720,48617026,48616312,48616259,38701053,31706316,31706317,38700987,38700786,38700725,38700724,38700116,38700115,38700055,30122834,30122835,38699691,30122484,30122486,38699696,30124052,30124051,30124037,22743088,22743089,22741585,22741584,30124135,30125466,22743049 Dl.O(d2) = 28418709,22649073,22649072,30021929,30706434,39304282,38018712,29456706,22122710,16008862,11114465,7371628,7371629,11114469,11945037,7995394,7995395,11945041,17030249,17030960,17030959,23290432,23290433,23290442,30706638,39304455,30706796,23290557,17030937,17030936,23290551,30706610,23291435,17031602,17031603,17031597,17031596,23290525,23290526,30706751,30706534 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14335880, s2 = 14245750, dlinesl.size( ) = 2 s1 = 14335880, s2 = 14245750, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14335880, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 14245749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11573389, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11573389, s2 = 11055644, int(edited[s2]) = 0 s1 = 11573389, s2 = 11055644, d1 = 54, d2 = 45 Dl.O(d1) = 266105508,215569040,218942982,221790098,224231780,226348732,265850015,265546372,224231797,226348750,226348749,224231794,221790107,221790108 Dl.O(d2) = 100904121,258524258,46809933,36931624,30602753,23183928,16918453,11840520,254560763,5030440,255136599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11573389, s2 = 11055644, dlinesl.size( ) = 40 s1 = 11354097, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11354097, s2 = 11440650, int(edited[s2]) = 0 s1 = 11354097, s2 = 11440650, d1 = 5, d2 = 44 Dl.O(d1) = 152725082,164563038 Dl.O(d2) = 200381838,206429891 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11354097, s2 = 11440650, dlinesl.size( ) = 48 s1 = 12988032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11570411, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11570411, s2 = 8888586, int(edited[s2]) = 0 s1 = 11570411, s2 = 8888586, d1 = 92, d2 = 19 Dl.O(d1) = 266102217,231214058 Dl.O(d2) = 231387268 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11570411, s2 = 8888586, dlinesl.size( ) = 86 s1 = 14335952, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12988236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14905459, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14336140, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14336140, s2 = 14055593, int(edited[s2]) = 0 s1 = 14336140, s2 = 14055593, d1 = 46, d2 = 3 Dl.O(d1) = 70514082,70514084,84049403,70514050,57812653,57812654,70514053,84049406,97920035,109792244,260148262,91255996,91255997,85869677,72278201,68066538,55667067,44756772,44756773,257929685,77336439,81556628,68066564,55667101,44756821,35328975,35328976,44756825,52339240,42000063,33056652,33056651,42000061,52339233,64189376,68066500,81556617,71905143,59167003,47768414,47768416,59167006,257658302,42000053,42000054,52339222,64189366,72278241,59544027,48157116,48157115,258111110,59167025,71905161,59543998,48157098,48157097,55667076,44756783,35328929,27203852,27203851,35328926,44756780,55667071,55667036,55667035,68066511,55667108,44756830,35328977,35328978,44756833,55667114,68066575,64119898,52270784,41931865,41931864,52270782,60168951,60168952,59167018,47768424,37845749,29278560,29278559,37845744,47768413,59167000,55667085,44756797,44756798,52339722,64189766,71022344,59705613,48318857,38408070,38408069,48318864,59705615,72441716,64189396,55667073,55667074,64189400,52339259,52339260,44756768,44756769,55667062,52339266,52339265,257777285,42000072,33056657,25328023,18748878,18748879,25328025,256633301,52339245,60168955,48774700,38854764,38854765,48774703,42000701,33057283,33057284,42000703,44756757,46940747,37061961,35328910,27203837,20276245,14548167,254984705,6579193,4122002,2465851,2465849,4121998,6579191,10010271,14548188,18748888,13348256,9121046,5968374,5968375,9121050,13348262,18748904,25328057,25328581,18749310,18749311,25328584,33057298,42000709,35328943,255758165,20276267,27203868,21632589,15601381,15601382,21632592,28906713,33056378,25327775,25327774,29278543,21954304,21954303,27203826,20276236,14548160,10010255,6579184,6579185,10010261,14548176,20276256,20276286,20276264,14548179,10010265,9121203,254916031,18749314,25328591,29962424,29962423,29278547,21954309,18748902,18748903,25328054,27203811,20276224,14548147,10010250,254984701,18748851,13348228,9121029,5968364,5968366,9121031,13348231,18748856,25327997,33056621,33056610,33056609,25328465,256118247,30790369,27203820,20276233,20276232,14548170,14548171,20276248,25328577,25328576,33057291,256118199,18748698,13348143,13348144,10994815,7278394,7278393,10994813,15863029,15863025,15863024,268102924,37845720,35328936,27203857,20276259,20276260,27203859,255146908,255980604,33057170,42000594,35328898,35328897,33057147,33057146,42000569,256482516,255146910,13348452,13348451,18749193,25328440,33056385,33056382,33056381,25327845,25327844,33056460,33057174,33057175,42000597,35328900,35328901,257329175,39111121,30513979,30513980,25328429,18749185,18749184,23363232,23363244,30292910,22894481,16664686,16664688,22894488,30292917,38878912,37845728,29278552,29278554,37845736,37845738,33056468,25327850,25327851,33056472,37845898,37845897,33056452,25328001,25328000,33056622,42000025,257027698,30658041,23236763,23236762,30658027,30658025,39254438,42000297,33056890,33056891,30790553,256481246,30788828,30788827,30788857,268427310,268245014,29278663,29278664,33056478,25327858,18748756,13348171,13348172,18748760,18748736,18748737,15863103,10994854,10994853,15863099,18749072,13348367,9121106,5968408,5968409,9121110,13348377,18749046,25328248,23236770,23236771,30658012,23236746,23236744,24214277,31721574,40413453,40413443,40413444,42000488,33057052,256633339,269073397,39836121,31153383,23665897,23665896,31153380,39836117,33056896,33056897,255532950,64189526,64189240,52339048,41999943,33056546,25327920,18748797,18748798,25327922,25327925,25327926,33056556,41999950,52339108,257777307,77336554,86933370,73323523,64189575,257608416 Dl.O(d2) = 21120434,28331776,28424338,28424337,36827356,36827357,43898721,43898722,46709920,36827639,28331606,28331607,36827641,29705466,22350647,16200016,16200015,22350642,29705459,255575634,47170995,47170975,47170973,58559894,58559955,47171025,37264995,28732771,21475158,15472525,15472526,21475167,28732796,37265039,47171097,58560081,49075152,49075151,49075125,39145222,30547251,30547249,38187497,48099023,50290888,60096057,50290868,50290867,50290883,40269631,31582618,31582617,40269626,48700565,38778181,38778182,48700567,60096560,59487946,48099318,38187678,35352999,35353000,44777677,55685907,66901958,66901957,72223498,257517803,38187424,38187423,48098916,59487419,269511068,84024857,86699348,73095914,60357681,258189399,86699345,85816626,85816625,91221117,91220877,77300578,77300579,91220880,77300619,64151775,64151778,70966243,72700845,62023615,50531661,50213426,40191316,31506002,31506005,26639395,19827453,14203399,14203401,19827462,26639425,34629274,41691224,47073317,37179616,37179614,40191268,40191267,48100395,38188577,38188576,48100391,52866770,54644776,53255607,53255591,42802832,33770941,33770942,42802810,50531679,50531678,53255550,53255548,258358971,257816616,269523246,42802804,42802806,35147689,35147690,42463427,49343821,42463057,33469665,25696606,24537976,24537977,32115210,33469973,33469972,31593896,31593894,40278208,42463187,33469784,33469469,25696463,25696461,33469462,257671723,59604070,48217073,48217072,59604068,62973122,62973120,70490227,57789476,46434244,36569688,36569687,46434243,47840750,37920184,37920171,37920170,47079814,37184657,28663812,21418113,21418112,28663746,28663747,37184570,30738160,25574720,25574721,31177385,38619229,33334346,33334347,39158270,36536196,36536195,46397130,42463111,39336853,30738142,23318119,17053760,11963402,11963403,17053763,23318126,30738148,28663856,21418144,15427768,10665374,7043750,7043753,10665392,15427805,16031708,268221737,24203715,255242314,29874604,267809004,7554980,7554492,7554486,4777168,4777167,7554483,11371349,16342913,16345471,12157516,8188183,5257773,3213714,3213716,4780168,4780164,7559556,7559610,7559603,4780192,4780191,7559601,7547257,4773250,2877127,1669935,1669936,2877132,4773258,254105238,7559310,11378255,16351186,16328889,11364431,11364430,14434982,9929527,9929526,254232992,4749725,7513687,11316250,16274258,11655541,11655540,11377676,254347372,5968335,3732514,2234843,2234842,3732512,5968332,9120981,13348152,18748713,268427304,25327904,18748786,13348185,13348186,18748788,25327907,28906718,21632599,15601385,10792958,7130713,5968398,5968384,3732538,3732536,2234875,1296081,739749,420480,237329,254093451,739751,1296084,2234880,3732576,5968458,268022805,18749355,25328642,33056509,28331765,21120421,21120422,15172945,10464319,6897684,4329820,2590298,1493216,845566,477241,268522,268521,477239,845562,1493208,2590275,4329780,254579268,21120190,16310386,16310387,22481766,254515572,16310294,16310295,22481667,29847448,22499609,22499610,29755772,22395229,16335113,16335114,22508676,21101531,21101530,17318864,12194126,8224477,8224476,12194134,10960867,10960866,14945574,20846038,20846039,16712481,16371859,11750041,7845239,4979941,4979945,4980064,4980059,7123892,7123894,10781643,10781332,7123709,7123710,10781335,7551759,254394852,5096074,5096075,8004328,5095799,3093111,1807308,1807307,3093109,5095795,4359012,2611769,2611770,4359015,267961065,8393847,10973346,10973347,13432095,17951352,17951351,24342029,22345574,22345573,22345577,22345578,22345599,16196096,11258441,7473932,4723360,2845857,254354655,7473924,11258427,15380753,14547998,10010117,6579068,4121899,4121900,6579070,10010119,8951067,8951068,13133828,18487051,25016770,31864532,40566473,41724338,32804241,256618859,40108320,40108319,50129080,46605679,36717617,28224458,255230664,10417575,10417573,13133745,8951017,8951018,13133747,18486934,19799036,14181837,14181836,19799032,26606081,22655784,16462945,16462944,22655782,19194401,13708657,11470677,11470679,16463011,22655875,22935730,30336503,31341533,23848543,23848542,31341532,40020983,42261380,42261379,37792824,29230655,29230656,23022432,16781557,16781555,16781554,15401100,10644797,10644795,10970789,15831095,21384207,15831166,10970844,7261690,7261689,10970839,15831154,21913916,29230646,29697662,38263394,48172784,47711948,38263403,38263402,48172790,59111086,59111085,71849324,59895761,48940071,39016868,30427825,23022426,16781549,11733645,254755046,23022423,30427820,39016865,47020936,39422158,37791270,29229178,21912745,21912746,29229183,37791280,29230553,29230552,37792714,37792834,37792833,37792705,29230676,29230653,21913921,21913920,29230650,37792820,46383345,57733454,48501985,48172806,48172805,59559273,59109894,47712081,37791285,29229188,29229187,31622446,40310998,50336936,59108708,47710741,37791134,29229065,21912668,21912667,29229062,37791131,47711943,38587084,30014656,30014658,38587086,38587077,30014651,22642758,22642759,30014654,256366124,37791128,47711937,50213849,48499966,48499965,59894012,51333000,41147741,32332632,32332633,41147744,38585242,38585241,39921346,31245646,23761103,23761104,31245649,39921351,47712096,48500078,48816287,38895032,38895033,48816289,60212175,64620436,59895144,48501282,38586468,38586469,48501283,48501972,38587065,30014637,30014636,38587063,38585929,30013590,22641756,16452094,11462846,11462845,255485537,30013588,256366256,38585717,38585716,47714393,47714392,48500479,48500726,256366254,38585726,30013396,22641606,255926533,38585725,48500333,38585498,38585497,37506285,31245664,23761113,23761114,31245666,38686110,33771911,33771910,30094075,30094076,38585757,38585756,48500646,59894347,59894346,59894694,59894695,59894089,48500063,48500061,257247506,85100983,86238948,258831722,86240297,72637616,59895765,48501995,38587091,30014660,30014659,38587089,48501990,59895763,72637612,258451836,61337350,64546146,269101628,42261394,52646975,59895757,48501979,38587071,30014645,30014644,38587067,258781401,100208613,114243093,128130170,115248951,115248950,256488640,73558367,60812054,49411731,39481885,30876613,30876614,39481887,48501962,38587057,30014630,22642742,16452889,11463467,7624933,7624934,7624935,254540729,1686295,958762,958763,1686301,2907094,4824189,2907090,2907091,4824188,7624939,7624942,4824190,4824191,7624944,11463472,11463471,11463479,11463480,255926637,22642751,16452895,16452894,22642749,30014639,38587066,48501973,59895753,49939098,49939099,258050344,84644110,71081731,71081730,269329730,37602343,29054174,29054173,37602341,47506145,58885122,269920333,50989873,269822243,38586292,38586293,48501118,59895005,48501119,38586294,38586295,48501122,59895009,72636979,72636978,72636980,59979098,59979097,59979094,59979093,72636981,268294218,41166450,32351482,32351481,41166448,38671286,30094073,256430687,48587452,59979099,257247466,38671284,38671282,48587443,59979084,72716105,86312958,86312959,100274392,100274393,89168436,75420790,62501720,62501721,75420793,70495154,57794213,46438881,46438882,39921383,31245685,31245682,31245681,39921380,256595172,42254239,52639723,60237282,48843062,38922606,30336427,22935667,16700822,11661464,11661465,13472578,18904147,17433368,17433369,17433366,12287693,9659015,9659014,8298370,5353413,3290221,3290220,5353410,8298364,12287689,11463122,11463123,16452155,16452153,16452154,255694592,22642055,16452347,13481895,13481896,18912863,13482790,9224098,6040586,3778960,3778961,6040587,9224100,13482793,18250446,12947462,12947463 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12989118, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12989118, s2 = 11416868, int(edited[s2]) = 0 s1 = 12989118, s2 = 11416868, d1 = 21, d2 = 61 Dl.O(d1) = 199224102,199224103,199320857,262580730,191955635,263437984 Dl.O(d2) = 145828576,158198006,158198015,262896029,169575978,169575976,262361399,262361397,139897128,126533825,261105035,139897134,262175175,164459483,175239323,263498981 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12989118, s2 = 11416868, dlinesl.size( ) = 2 s1 = 12989118, s2 = 11416868, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12989118, Dl.E( ) = 68, 2.29e-05 seconds used appending s1 = 11553457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553457, s2 = 11465242, int(edited[s2]) = 0 s1 = 11553457, s2 = 11465242, d1 = 54, d2 = 3 Dl.O(d1) = 229794047,228171313 Dl.O(d2) = 211427625 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553457, s2 = 11465242, dlinesl.size( ) = 56 s1 = 14348386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12989130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159883, s2 = 7883957, int(edited[s2]) = 0 s1 = 11159883, s2 = 7883957, d1 = 56, d2 = 111 Dl.O(d1) = 257578908 Dl.O(d2) = 55238775,44389489,254748178,20045249,14359954,9867272,6481878,6481879,9867280,9899941,9899942,9899970,9899971,14393701,20076159,20044114,20044113,23833293,17494424,17494423,23833291,31323867,38783478,39029804,30440816,29448391,22114834,16002268,13406953,13406952,13406769,13406771,18818682,25409504,33149993,255739988,256640177,33189938,255702306,13428511,18847521,13430434,9182397,6009928,3758909,2251718,2251717,3758907,6009926,9182392,13428506,13428505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159883, s2 = 7883957, dlinesl.size( ) = 18 s1 = 11406737, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406737, s2 = 13994710, int(edited[s2]) = 0 s1 = 11406737, s2 = 13994710, d1 = 17, d2 = 14 Dl.O(d1) = 178279550,168132825,156621471,144170994,130908350,117096005,102983578,102983579,117096007,130908354,143725867,143725868,260741206,167841863,259529146,143725869,156252714,167841867,262830868,263986796 Dl.O(d2) = 264029596,178506728,178506729,187670593,263733263,204126023,208223006,202484808,195655338,195655337,263640498,202484756,202484755,202484809,208223008,208223010,202484811,195655342,273169328,168132832,168132833,168132794,168132793,178506729,187670593,263733263,204126023,208223006,202484808,195655338,187670657,178506787,168132829,156621474,144170998,144170999,156621477,168132835,178506791,178506731,261932288,156621451,168132795,262895430,168132824,156621467,144170991,130908347,117096005,117096004,261882641,168132791,262830866,187670645,178506779,168132825,156621471,144170994,130908350,117096005,102983578,102983579,117096006,130908351,261882643,144170984,130908342 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406737, s2 = 13994710, dlinesl.size( ) = 2 s1 = 11406737, s2 = 13994710, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11406737, Dl.E( ) = 18, 1e-05 seconds used appending s1 = 11240733, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11240733, s2 = 8200406, int(edited[s2]) = 0 s1 = 11240733, s2 = 8200406, d1 = 29, d2 = 44 Dl.O(d1) = 271765745,113846692,113846691 Dl.O(d2) = 126272320,126272321,126272318,112409268,271389168,126272319,112409268,98420374,84498666,70934511,256005166,15287164,10552603,6959821,6959820,10552454,10552452,254927879,3794616,2272982,1318158,1318159,2272987,3794625,6064798,9259828,12057243,10547991,6956475,6956474,9251421,12055960,9242561,6053314,3787941,2269398,2269402,3787959,3790902,2270920,1317073,751491,751490,254205503,3790889,6058696,9250991,8111072,8111070,12063024,13528814,13518543,13518545,18955064,21475784,23918836,23918837,256527027,255998872,24219712,29234468,23426607,17148860,12052387,8103143,7227097,4554408,254751141,268221636,6507350,5037448,3049833,3049832,3176906,1859712,1859713,3176912,5207203,8127853,7924279,254364620,3049834,5037452,7924281,11857080,16941729,16640030,11607924,7727747,4891531,2947719,1709536,1709535,2947717,2931983,1700484,1700483,2931981,4861480,2929479,1699237,1699236,1700674,1700673,2169738,1255918,714417,714418,1255922,1698947,1699053,2929069,4860621,7681771,9178101,7592246,7592248,4815565,4815564,4891433,4814190,4814191,7609609,7329222,7329221,7597829,7747112,7482813,4728848,4728841,2849072,2849071,4728836,4891281,2947568,1709461,1709462,2947340,1709335,1653021,940210,940212,1653028,2849098,2849054,1653003,1653004,1702225,2935092,2935091,4870724,7609100,7609101,7613968,4817192,2929678,2929679,4861786,7683769,7328875,4629724,2789099,2789100,1618261,1618259,2789277,2789275,4630039,7329256,7329257,7329038,7329037,11053525,11411359,11433200,11433201,268229689,11563029,7695726,7695727,11563032,16582786,16438676,11453256,7617982,4819924,254241891,1684864,2904533,254540167,11453261,16438683,22615713,16431172,16431173,11793618,7875600,5000292,3021771,2606751,1504327,852745,852746,1404527,799323,453052,453050,799317,1404476,2427806,1685836,958506,958508,1685866,2904166,2904165,3706229,3706227,4819405,4819404,7617140,255483929,24042418,24042419,17691545,17691306,17691308,22386872,22386871,29746212,31544860,24041515,17689558,17689559,24041302,17690359,255374228,8473829,5477506,5477507,8473832,8476602,12512413,12510953,12510952,8477151,5479610,3371906,1984119,1133313,1133314,1984120,3371908,5478951,3372062,1984194,1984193,3372059,5479857 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11240733, s2 = 8200406, dlinesl.size( ) = 28 s1 = 11123563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11123563, s2 = 8206466, int(edited[s2]) = 0 s1 = 11123563, s2 = 8206466, d1 = 25, d2 = 27 Dl.O(d1) = 50028639,59439352,48047530,48047531,59439355,48685311,257561965,38763575,38763574,48685314,59439463,256984338,31631652,31631654,257091079,61830312,74622697,85772070,72177853,72177854,72818941,60081555,60081554,67834107,55492676,55492677,67834111,62973950,62973949,66017270,59439402,59439404,55492671,55492672,67834100,59501402,48113380,38202325,38202326,48113385,59501417,62998946,51320004,41136319,32322480,32322481,32304472,24692467,18224159,18224160,24692469,24692461,24692462,32304465,41116249,51297379,62973968,62679308,51049052,51049053,59501406,48113376,38202324,38202323,48113373,59501404,62973981,75955452,75955454,73511604,73511602,75824713,62860871,62860870,258174224,256984340,50556163,40519712,40519713,50556165,62048838,257565436,102489780,116591751,258841108,98371468,103721833,89606899,270663786,72688906,72688907,86287102,100250358,90535532,90535531,259346132,260196222,131184302 Dl.O(d2) = 104635882,103909661,89808649,89808650,103909663,99969023,86009607,86009608,99969026,113992547,122384438,131875384,131875385,118051217,103909654,103909653,118051215,131875383,118051227,118051226,118051219,260653640,260009219,99969027,113992548,127870801,131875382,127870802,113992550,113992549,260339870,259597089,89808641,76031936,63049101,63049102,76031941,85383126,71794325,268516950,256173880,257250924,59677800,59677801,72413052,72413053,86009614,76031949,63049109,63049108,59677798,48290878,48290879,51368079,48290881,38380223,38380224,48290883,59677804,63049116,63049097,51368073,51368072,41181976,32366015,32366014,257145523,258344737,257145527,32366023,24749235,24749230,18275624,18275625,24749232,32366017,24749236,24749237,24749233,24749234,32366020,41181979,50135223,50135224,61615833,257695184,59677813,258765977,84112183,70575989,57875197,57875198,70575991,257695182,70576254,257111744,269012746,32020708,32020706,40776985,36653002,36653004,46519990,57875481,70576246,72243658,70576248,70576194,258640563,84112186,70576002,57875206,57875205,70576000,62493147,62493146,57875240,46519785,46519786,57875244,57875497,46520001,36653010,36653009,46519999,46520009,36653014,256826545,57875251,57875219,46519760,36652793,36652794,46519762,57875221,46519948,36652971,36652972,46519950,57875438,70576210,258765975,70575998,57875514,46520029,46520030,46520066,46520065,46520014,36653021,36652829,36652831,46519791,46520047,36653050,36653049,46520045,46519936,46519935,57875420,70575995,57875202,57875201,46519796,46519751,46519752,57875210,57875508,46520023,36653027,28177317,28177316,36653024,46520017,46519771,46519747,36652785,28177072,28177073,28177065,20995576,20995577,28177067,36652782,46519743,36653073,28177372,28177059,20995573,15081284,10402380,10402379,10402473,15081432,20995769,20995760,15081425,10402468,10402466,15081419,20995753,20995713,20995714,20995741,15081410,15081411,20995745,28177290,36652770,28177087,20995589,15081294,15081295,15081439,15081440,20995777,20995778,20995779,28177292,28177294,28177242,20995708,15081468,15081467,20995817,28177342,28177129,28177063,28177062,36652776,28177320,28177319,36653034,36652767,28177052,28177051,28177314,28177313,36653023,28177322,268200043,10402477,6857262,4303471,4303472,6857266,10402485,15081448,20995788,28177344,28177277,28177108,20995600,15081299,10402391,6857218,4303449,4303448,6857214,10402385,15081290,15081413,15081414,20995619,20995618,15081472,10402497,10402496,15081306,15081307,20995616,28177130,20995772,20995773,20995625,15081404,10402459,6857254,6857253,10402457,15081400,20995730,20995784,15081445,255373945,28177338,28177343,36652800,28177099,28177103,36652814,33177691,33177690,28177236,28177235,36652955,46519731,46519734,36652863,28177154,20995736,15081407,10402461,10402460,10402447,6857247,4303463,2572988,1481433,1481432,2572983,4303454,6857230,10402416,15081341,255373925,15081390,15081391,15081392,20995720,28177263,36652870,36652869,28177199,28177198,20995801,20995624,20995623,28177133,256826523,36653071,36652975,33177767,33177671,25434120,25434119,33177668,33177662,25434110,25434111,28177232,28177231,28177219,20995695,20995694,28177217,36652937,28177248,20995712,15081380,10402443,6857244,4303461,4303460,267959017,15081368,15081338,15081337,20995658,28177168,269991088,25434253,20995687,15081361,15081360,20995684,28177202,25434113,18839096,18839097,25434115,18839102,18839101,25434121,33177672,42135415,42135479,33177734,25434188,18839151,18839150,256126523,18839159,13422399,13422398,9177114,6006500,3756495,3756496,6006502,9177103,9177102,13422420,18839187,25434217,32746726,25055607,25055606,18839131,13422382,13422381,255662841,18839251,18839250,18671459,18671457,25241226,25434218,255260343,9177100,6006490,3756491,2249910,2249909,3756507,6006523,254649409,3756505,2249908,2249907,3756502,6006516,9177148,13422492,18839291,25434339,33177891,33177877,268745545,42135517,33177816,25434259,25434258,32746642,25055552,25055551,25055572,32746681,41657161,39314493,39314492,42135638,51965011,41657171,32746687,32746686,41657169,33177920,33177921,42135637,52492513,51964924,41657093,41657094,33177901,33177902,25434355,25434354,33177916,42135631,52492509,59472979,48082355,38169532,38169531,48082327,59472929,72210655,85804920,77533298,256840098,52492402,51965022,48082349,48082350,59472974,64365341,64365340,64365350,64365338,64365339,64365321,257513370,256391118,51965014,255895012,256933304,41657115,41657116,51551618,256391110,38169527,42135624,42135623,52492463,268222992,77533325,72210685,72210684,72210639,59472916,48082316,38169494,38169495,41657102,32746647,32746645,41657096,35320766,35320768,44746531,55654528,63780672,51964976,41657128,32746665,25055564,18517877,18517876,25055561,268223635,16114837,22252953,29602568,38169518,29602557,22252947,22252946,29602555,38169516,48082345,59472958,59472919,59472918,72210644,76290264,63269673,63269674,76290266,259608795,75404134,257703877,40770649,32014603,268701427,50886614,62485947,75404141,76120851,76120852,89926904,104056694,103252562,89162168,75414298,62495428,50895561,40779311,40779312,50895563,62495431,72210663,59472934,59472935,72210665,85804929,75404153,62485979,52530322,52530321,64403701,70750036,70750035,84112212,70576037,70576038,76613956,63534081,63115445,63115448,72235212,59499749,48111635,48111634,59499745,72235208,76120910,75404108,62485925,62485926,75404111,89151213,103241203,103241208,99996476,269770972,59700683,59700684,63534073,258361937,76290259,63269669,51551965,41329826,41329825,51551960,41329823,41329822,51551956,63269664,76290251,90103738,258940448,63269407,63269385,63269383,72436589,59700708,59700709,257153567,41329833,51551888,63269600,53112276,42660386,33631328,25829118,25829119,33631329,42660388,53112277,51551973,51551972,63269438,51551716,51551715,51551621,41329791,41329793,51551688,41329600,32482445,24840898,18345673,13023640,13023639,18345671,24840893,268701528,32482280,32482279,40769281,41329589,256569250,53112253,42660349,33631295,25829093,25829092,33631292,42660348,48964636,255229046,51551714,51551713,257147802,51551622,41329537,41329538,51551626,51551644,41329562,41329561,51551646,63269355,63269555,63269556,51551971,41329836,32482438,24840890,24840891,24840799,18345619,18345620,24840800,256155623,32482381,24840909,18345680,13023644,8867685,5780974,3602632,2149870,2149869,3602630,5780968,8867671,12784244,9378677,6143971,6143970,9378674,13694499,19177035,25829116,31912878,24381039,18345600,13023605,13023606,18345602,13023633,13023632,255629457,32017260,32482389,32482388,27964094,27964095,36422457,41329718,32482356,24840841,24840840,32482353,41329713,41329726,41329725,269434330,46275085,36422458,36422459,256804649,51551542,51551527,41329460,41329459,50685615,40627540,40627541,257696969,51551773,51551772,63269489,62204991,50685624,40627552,40513694,31817361,24301381,17918125,17918126,24301383,31817364,32482341,24840833,18345639,13023621,8867674,8867675,13023624,18345646,24840844,20801832,254995513,10250463,14907968,20801837,27964105,36422471,46275096,57619492,70309949,62204983,62204982,75027892,88679064,76290098,63269500,62204986,62204987,63269295,76289954,258981633,257740997,41329688,41329689,51551793,41329678,41329677,51096016,51096015,62727892,51551835,257704002,33631302,25829098,25829097,33631301,42660356,46275094,36422468,36422466,46275092,57619491,63269328,51551612,51551523,51551522,63269256,76289924,73353857,63269297,51551575,41329495,41329494,51551571,256600607,24840823,18345634,18345635,24840826,32482332,41329672,51551533,269467563,60608828,49208331,49208333,60608830,49208346,39281959,30685011,30685012,257019353,51551548,63269279,76289933,65099133,53112274,257119328,78382979,76290057,63269448,51551728,51551729,258354869,90103577,104236402,269915186,65099131,257704000,92420370,106726042,92420363,78382968,78382969,86965428,73353854,60608837,49208337,39281952,30685008,268661003,60608831,73353841,73386535,259456955,51551734,41329634,41329633,51551732,63269453,76290063,259051061,86965424,86965423,86965478,73353903,60608869,60608872,73353910,86965486,100949483,260642176,86965405,86965406,269961548,258361922,106049976,103250375,103250374,100949427,86965418,73353844,60608833,60608834,73353847,86965420,100949431,89159979,75412058,75412057,87001661,76290065,63269455,63269457,76290066,270821638,86965458,100949467,90103579,90103578,89159987,75412070,257704191,40777015,40777014,50893266,62493184,75412067,89159991,103250373,115003448,115003449,100949462,100949460 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11123563, s2 = 8206466, dlinesl.size( ) = 14 s1 = 10434495, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14348516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11572549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11572549, s2 = 14100657, int(edited[s2]) = 0 s1 = 11572549, s2 = 14100657, d1 = 47, d2 = 114 Dl.O(d1) = 235113330 Dl.O(d2) = 5677254,3531063,2101406,1209956,1209958,921773,921774,1620939,2793378,4637481,7342070,11072751,15954927,11072673,7342014,7342018,11072681,15954937,22059171,26969908,22042426,22042425,22045768,29368744,22037957,15935841,255444973,21975365,21975364,27097313,27097312,22001464,22001465,18925373,18925375,15880716,15880715,21975056,23088906,18930423,18930422,24076147,31581802,28757503,21498170,15491472,10712685,7077195,4455540,4455542,7077185,7077187,10712665,15491449,17021012,11936544,10435202,10435205,12367083,16029180,16029179,12367088,12367090,17534257,12415718,8391744,5415441,5415443,8391757,6482406,6482407,6482227,4061953,2431024,2431025,4061956,2432128,1406754,1406755,2432094,4063990,6485587,6494196,6494194,9884139,14378124,20041073,20040607,20040606,26925958,29131798,27084678,20186376,20186375,27084675,35173169,37634893,29084936,21787314,21787315,24193364,24193363,31701434,25475782,25475781,33223817,26932938,26932940,35014593,44391203,37008889,37008887 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11572549, s2 = 14100657, dlinesl.size( ) = 54 s1 = 11459644, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 3626946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519631, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121193, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11155589, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14348692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14348692, s2 = 11377278, int(edited[s2]) = 0 s1 = 14348692, s2 = 11377278, d1 = 29, d2 = 27 Dl.O(d1) = 263339335,197289547 Dl.O(d2) = 262669354 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14348692, s2 = 11377278, dlinesl.size( ) = 32 s1 = 13583661, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14348696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14348696, s2 = 12557642, int(edited[s2]) = 0 s1 = 14348696, s2 = 12557642, d1 = 8, d2 = 12 Dl.O(d1) = 259874695 Dl.O(d2) = 167196704,174337987,163494132,261824009,143018781,262803911,174337989,163494134,163494135,174337991,167196702,155566757,143018782,129690380,129690378,129690379,143018781,262803911,177692692,167196699,261824007,143018781,262803911,183996834,177692695,177692694,174337985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14348696, s2 = 12557642, dlinesl.size( ) = 8 s1 = 11593587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11500903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500903, s2 = 11433320, int(edited[s2]) = 0 s1 = 11500903, s2 = 11433320, d1 = 81, d2 = 90 Dl.O(d1) = 264410542,205590915,210741614,214948748,218409628,218976776 Dl.O(d2) = 155916365,258644342,187248891,262629672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500903, s2 = 11433320, dlinesl.size( ) = 56 s1 = 14352925, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11150373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11150373, s2 = 11597200, int(edited[s2]) = 0 s1 = 11150373, s2 = 11597200, d1 = 48, d2 = 51 Dl.O(d1) = 269826375 Dl.O(d2) = 274783704 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11150373, s2 = 11597200, dlinesl.size( ) = 54 s1 = 14348776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11407385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11440789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14348802, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 170466, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11633549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11633549, s2 = 11636638, int(edited[s2]) = 0 s1 = 11633549, s2 = 11636638, d1 = 23, d2 = 24 Dl.O(d1) = 245941607,246049004,246150258,246246989 Dl.O(d2) = 246246991,246150259,267524877 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11633549, s2 = 11636638, dlinesl.size( ) = 30 s1 = 10533386, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12255287, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15318908, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14348926, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14348926, s2 = 5453614, int(edited[s2]) = 0 s1 = 14348926, s2 = 5453614, d1 = 7, d2 = 20 Dl.O(d1) = 234099176 Dl.O(d2) = 230329980,228766372,226990785,224954387 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14348926, s2 = 5453614, dlinesl.size( ) = 30 s1 = 11499925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11499925, s2 = 11145958, int(edited[s2]) = 0 s1 = 11499925, s2 = 11145958, d1 = 39, d2 = 23 Dl.O(d1) = 182761699,182761698,191413139,264109503,264908945,214653353,265125537,218162548,214653355,210385264,210385263,214653353,265512054,264254460,263589812,272885555,22048146,15945051,15945049,11072609,11072610,15954855,22059090,22070426,15965517,11081321,7348058,4641073,2795320,1621352,1621353,2795323,4641080,4634094,4634095,7336177,11064265,13682496,13682497,255363804,11050172,7325440,4626240,4626241,7325441,255069951,11060123,15938791,15927191,11050295,254318888,22028281,22052344,15948920,15948919,22052340,22047165,15962180,15927187,11050293,7325510,7325509,11050290,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494017,11063803,7335854,4633896,4633899,7335863,11063817,255445725,256377921,32194130,24605757,18391830,13063704,13063705,18391826,18391825,24892264,20197861,20197862,23581670,17269564,12148643,9793434,9793433,14246562,15964325,11080244,11080243,256379671,47883120,40717628,40717627,38700162,30122962,22740331,255933685,268956437,259268895,84235751,84235752,259887999,125924463,139273629,260489837,98130580,84235753,258017631 Dl.O(d2) = 258017631,46588039,257256746,255012149,6862693,4307014,4307017,6862701,10410938,15095047,21017128,28210356,21017329,21017330,255708680,46588418,46588168,36701468,28210396,28210395,30865887,255537899,17162095,18962661,15297409,10573152,10549820,6957728,4371478,4371479,4373439,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197375,6961658,6961659,6961128,6961125,10554438,7134370,4491675,4373088,2619707,1512353,857454,857449,1512338,2619674,4373011,6066355,6066842,9238158,6050408,3786091,2268285,2268282,3786084,6050390,9238125,268495083,52678641,47255902,47255901,58648080,57746207,46395548,46395547,259247383,28012686,36473037,46328354,57675198,70366880,77312364,64164370,52312902,52312901,41972556,41972555,47342787,47342786,50643100,41330087,32482685,28007721,254684344,10277862,10277863,14943304,16468108,21090594,21090595,28298532,31768041,30273657,30273658,24520579,24520578,32095584,31657752,24147588,21524128,21524127,28788080,37324306,258690233,37969373,29405275,22693126,22693125,30073078,37969440,29895767,29895765,38453021,256023147,256023149,35388203,27262819,27262820,35388206,44812812,53255963,42803201,42803202,40510614,31814618,31814617,36627192,35388219,27262826,20328452,20328453,14589048,10038647,6597157,6597156,6202886,6202887,9460325,13796221,10388268,6846384,6846383,10388265,15064056,19296468,19296469,25961990,33771262,36627170,31092696,23609118,17296642,12175162,8206902,8206903,12175166,17296650,20974982,15064044,259265237,272882744,273087513,260481272,97913251,261060364,10354890,6819226,4277633,254324871,2558601,4238039,6762574,8124408,6821917,4279522,4279519,4264135,4264137,4238166,2569654,1479483,1479480,1479488,1479490,1456701,1456700,2527556,4227143,6746140,9076384,5935774,3711491,2222562,2222561,254439409,9076381,13294326,14117191,9712525,9071389,5931972,5931969,5932658,3709498,2221407,1288620,735663,735662,1288610,2221386,254641725,13289361,17327736,12202716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11499925, s2 = 11145958, dlinesl.size( ) = 38 s1 = 14348955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12992736, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13310223, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13310223, s2 = 11236946, int(edited[s2]) = 0 s1 = 13310223, s2 = 11236946, d1 = 16, d2 = 18 Dl.O(d1) = 16863080,11795007,7876725,5001066,3022297,3022294,5001060,7876713,11794995,7885206,7885207,11805633,16863765,16863764,23123461,16875530,11805771,7885321,7885320,8460071,5466330,5466331,8460076,12490834,11795994,7877548,5001669,5001668,7877545,11795985,11805845,254736092,5007923,7877034,7877035,11795356,16863400,16875166,11805359,10744586,7098877,7098876,10744584,15535964,21556461,28827273,37367436,35352288,28503433,21285007,21285009,16870273,16870274,23130729,23136129,16875890,16875893,16999199,11913149,11913148,16999195,23130718,23130716,30548963,23131532,20897711,20897712,16097555,11180747,7418290,4687850,4687851,7418294,11180755,10744410,7098782,4469648,2685470,2685471,4469650,254738899,15535718 Dl.O(d2) = 255260231,254920612,16653664,11621054,11621056,11415350,11415351,16398895,22581356,29447389,22867617,22606460,16423425,11551557,11551558,11428193,11428194,11559413,7692618,4868125,2933495,2933496,4868127,7692622,11559419,9145997,9145998,11559272,11562361,16406178,11422580,7592513,4802701,4802700,2956092,1714071,1714072,2956095,4904526,7744860,11626677,11557830,7691261,7691260,7691715,4867457,2933024,2933025,4867460,7691718,11558367,9491981,9119521,5967149,3731446,3731445,5967147,9119517,11448285,7734425,7734426,11615028,7790551,7790552,7603819,7603820,8460625,5466655,5466656,8460627,7583554,7583555,11411912,7595361,7595360,11426186,16410302,22593421,256961895 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13310223, s2 = 11236946, dlinesl.size( ) = 24 s1 = 15282708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282708, s2 = 11031260, int(edited[s2]) = 0 s1 = 15282708, s2 = 11031260, d1 = 0, d2 = 0 Dl.O(d1) = 84904517,85479375,85479376,257491978,59156939,71894750,85479381,85479386,84092480,70556104,57854677,46498650,46498649,57854675,70556100,71894718,85479355,99420598,99420592,99420593,85479366,84340480,84340479,84092476,70556095,70556096,70781733,58064057,46691197,46691196,58064055,70556088,57854669,46498645,46498646,57854670,70556090,84092471,87926708,74323627,74323626,87926706,85479363,85479362,99420603,94381093,80325939,66898254,66898253,257016772,71894719,71894720,85479359,84529667,84529666,84529679,84529678,98451188,99420600,97965910,97965911,258204854,97965912,111903030,111903033,256472098,80325927,257016774,43897657,43897658,37004045,28505880,256312419,46883075,58250385,256472082,87088760,73470945,73470944,84529675,84529676,86884266,73272818,73272819,86884268,80325936,66898252,54640811,43897661,34625528,26635811,19823898,14200236,14200237,255728049,34625531,43897666,54640817,255524694,39254058,39254059,49179828,60579533,73323263,60722642,60722643,58266317,58266318,58250390,46883078,37004047,28505882,21286772,15322420,10583023,6981468,254728587,15322417,21286768,28505878,37004043,46883067,256472106,84529674,256763714,70966571,60109494,60109495,58266320,58266319 Dl.O(d2) = 84904517,85479375,85479376,257491978,59156939,71894750,85479381,85479386,84092480,70556104,57854677,46498650,46498649,57854675,70556100,71894718,85479355,99420598,99420592,99420593,85479366,84340480,84340479,84092476,70556095,70556096,70781733,58064057,46691197,46691196,58064055,70556088,57854669,46498645,46498646,57854670,70556090,84092471,87926708,74323627,74323626,87926706,85479363,85479362,99420603,94381093,80325939,66898254,66898253,257016772,71894719,71894720,85479359,84529667,84529666,84529679,84529678,98451188,99420600,97965910,97965911,258204854,97965912,111903030,111903033,256472098,80325927,257016774,43897657,43897658,37004045,28505880,256312419,46883075,58250385,256472082,87088760,73470945,73470944,84529675,84529676,86884266,73272818,73272819,86884268,80325936,66898252,54640811,43897661,34625528,26635811,19823898,14200236,14200237,255728049,34625531,43897666,54640817,255524694,39254058,39254059,49179828,60579533,73323263,60722642,60722643,58266317,58266318,58250390,46883078,37004047,28505882,21286772,15322420,10583023,6981468,254728587,15322417,21286768,28505878,37004043,46883067,256472106,84529674,256763714,70966571,60109494,60109495,58266320,58266319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282708, s2 = 11031260, dlinesl.size( ) = 2 s1 = 15282708, s2 = 11031260, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15282708, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 12992800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13003378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11335083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11335083, s2 = 16374907, int(edited[s2]) = 0 s1 = 11335083, s2 = 16374907, d1 = 40, d2 = 45 Dl.O(d1) = 262275295,176702036 Dl.O(d2) = 207258840,264525371,212135511,274199447,264827466,274311614,213943541,264363916 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11335083, s2 = 16374907, dlinesl.size( ) = 46 s1 = 11251531, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11251531, s2 = 11405550, int(edited[s2]) = 0 s1 = 11251531, s2 = 11405550, d1 = 11, d2 = 35 Dl.O(d1) = 100847840 Dl.O(d2) = 261837686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11251531, s2 = 11405550, dlinesl.size( ) = 38 s1 = 12964141, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13560757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12964676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12964676, s2 = 15341750, int(edited[s2]) = 0 s1 = 12964676, s2 = 15341750, d1 = 87, d2 = 122 Dl.O(d1) = 266786015 Dl.O(d2) = 43957778,34682695,26688505,26688504,34682694,36786819,28290347,21083886,15144582,10444956,254493166,4322303,6885540,10444954 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12964676, s2 = 15341750, dlinesl.size( ) = 54 s1 = 12993496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12993496, s2 = 7745631, int(edited[s2]) = 0 s1 = 12993496, s2 = 7745631, d1 = 38, d2 = 50 Dl.O(d1) = 269332483,71000294 Dl.O(d2) = 274270097,216193454,262609202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12993496, s2 = 7745631, dlinesl.size( ) = 50 s1 = 14349236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14349236, s2 = 7234686, int(edited[s2]) = 0 s1 = 14349236, s2 = 7234686, d1 = 53, d2 = 18 Dl.O(d1) = 5938014,9079384 Dl.O(d2) = 264354602 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14349236, s2 = 7234686, dlinesl.size( ) = 14 s1 = 11277709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12965035, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14349302, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12965293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11077681, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12993958, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14349388, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11234681, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11234681, s2 = 382707, int(edited[s2]) = 0 s1 = 11234681, s2 = 382707, d1 = 42, d2 = 2 Dl.O(d1) = 256473188,34586460,254817810,19793281,24122620,17760878,17760879,24120986,23752653,255169017,268406410,31235738,257641771 Dl.O(d2) = 9650324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11234681, s2 = 382707, dlinesl.size( ) = 22 s1 = 14254688, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11595673, s2 = 13313236, int(edited[s2]) = 0 s1 = 11595673, s2 = 13313236, d1 = 72, d2 = 96 Dl.O(d1) = 266341020 Dl.O(d2) = 26326261,26326259,26326262,34199062,30060833,22683792,16485083 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11595673, s2 = 13313236, dlinesl.size( ) = 2 s1 = 11595673, s2 = 13313236, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11595673, Dl.E( ) = 154, 5.51e-05 seconds used appending s1 = 15319349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15319349, s2 = 14684780, int(edited[s2]) = 0 s1 = 15319349, s2 = 14684780, d1 = 21, d2 = 22 Dl.O(d1) = 184772917,193129920,200301842,206358910,211367845,215462453,218846411,221704636,224157878,226285134,228136973,229761998,231204126,232497480,233666505,234729998 Dl.O(d2) = 222529007,224882559,224882565,224882566,224882564,224792295,222425492,219668326,216403672,264368960,186762334,177453663,177453662,186762333,186762329,262947198,166913628,166913627,177453662,186762333,186762331,177453661,166913625,155227368,142589402,129217829,115289161,101210620,87209693,73587521,60837905,49436344,39505500,39505499,34666066,34666065,37090733,37090732,39708002,37265327,28733062,28733063,23790825,23790826,31276562,32312355,32239274,32239273,41031887,51188548,43420167,34319463,34319462,43420165,269579493,79384741,93521618,107959177,122385232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15319349, s2 = 14684780, dlinesl.size( ) = 20 s1 = 11568901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11615851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11615851, s2 = 10562980, int(edited[s2]) = 0 s1 = 11615851, s2 = 10562980, d1 = 79, d2 = 105 Dl.O(d1) = 267195637,243561663,243824415 Dl.O(d2) = 7519773,7519772,7516472,7516470,7516368,4751560,2863701,1662114,1662112,2863576,4751323,4751328,4751329,2863706,2764891,2764889,4596009,4753991,7519571,11009841,11009842,11322048,7518322,7518321,7519860,7516557,7516558,11320061,11321733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11615851, s2 = 10562980, dlinesl.size( ) = 24 s1 = 11445467, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11445467, s2 = 11528312, int(edited[s2]) = 0 s1 = 11445467, s2 = 11528312, d1 = 0, d2 = 22 Dl.O(d1) = 197608329,204116858,209547367 Dl.O(d2) = 217659897,265301741,225553520,223308961,220711820,217659901,217659900,220711818,223308960,265647463,229213204,274579067 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11445467, s2 = 11528312, dlinesl.size( ) = 24 s1 = 14338508, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11522851, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10988969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12995792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12995792, s2 = 11078776, int(edited[s2]) = 0 s1 = 12995792, s2 = 11078776, d1 = 0, d2 = 6 Dl.O(d1) = 162540835,261556337,260993257,150411077,162540839,173572713,173572712 Dl.O(d2) = 191931181,263029569,262086417,262086419,261061543,111857506,97923301,84052600,70517486,70517485,84052597,97923297,259880771,125673369,139012191,259261808,258010672,71379886,58644020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12995792, s2 = 11078776, dlinesl.size( ) = 12 s1 = 11621065, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12946586, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12946586, s2 = 6999015, int(edited[s2]) = 0 s1 = 12946586, s2 = 6999015, d1 = 8, d2 = 41 Dl.O(d1) = 8917550 Dl.O(d2) = 261163309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12946586, s2 = 6999015, dlinesl.size( ) = 20 s1 = 12996086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12968427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12968485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12968489, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12968489, s2 = 2882084, int(edited[s2]) = 0 s1 = 12968489, s2 = 2882084, d1 = 3, d2 = 1 Dl.O(d1) = 22665181,24082559 Dl.O(d2) = 86061573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12968489, s2 = 2882084, dlinesl.size( ) = 2 s1 = 12968489, s2 = 2882084, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12968489, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14349796, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14349796, s2 = 9514626, int(edited[s2]) = 0 s1 = 14349796, s2 = 9514626, d1 = 56, d2 = 72 Dl.O(d1) = 263731967,262488047 Dl.O(d2) = 258296086,259543798,170951229,181063629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14349796, s2 = 9514626, dlinesl.size( ) = 38 s1 = 11108845, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14349854, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11412435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11341427, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14056751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14056751, s2 = 14140384, int(edited[s2]) = 0 s1 = 14056751, s2 = 14140384, d1 = 22, d2 = 20 Dl.O(d1) = 36698019,28207214,21014463,15093075,15093073,15455133,11648216,11648217,12672419,15520402,12573537,8527571,5526090,5526091,8527577,10599326,10622898,10599309,6992835,4394625,4394624,6992830,10599301,10654636,7035629,4426590,4426591,7035636,10654642,15413736,21400065,24131412,17767952,17767950,21653070,21653068,28578343,21356341,15379157,10627577,10627578,15379164,21356353,21349028,15373267,10622850,10622851,15373272,21349038,21349173,15455111,10685935,10685936,15455116,16686448,16686450,15344883,12573559,8527590,5526097,3412469,3412470,4394627,4394629,6992846,6992867,4394646,2633438,2633437,4394640,6992864,10599374,15345023,10654623,9470656,9470657,13809803,19312777,21315777,28539130,31638652,40328310,46915235,46915294,46915263,37037695,28539178,21315808,15344961,15344962,17767827,17767826,24131237,17767841,12573710,12573711,15373313,10622877,268070679,21349106,28578320,268261602,31638487,31637983,31637981,31637989,31637988,40327564,31638490,24131278,24131279,17767925,17767922,24131368,21315899,21315892,21315893,21400032,21315828,21315829,21315786,15344940,15344938,21315781,28539137,28539122,28539121,37037655,28578352,28578353,37037682,28539153,28539151,24131272,17767854,12573728,8527689,5526157,3412499,3412498,5526152,8527681,12573716,12573685,12573686,17767801,21349168,21349167,28578401,31638481,31638480,28578314,28578313,31637985,24131431,17767959,12573779,8527721,8527723,12573783,17767965,17767938,17767939,24131399,21315836,15344973,10599346,10599347,15344982,21315852,28539227,37037673,42825193,40328080,40328079,46915249,37082605,37082606,40328296,40328083,31638430,24269943,24131223,17767808,12573691,8527667,5526147,5526148,8527671,12573697,17767824,17767849,24131265,31638465,40328068,37082648,37082647,39256483,31638604,31638605,31638676,40328332,31638686,31638683,31638682,31638666,31638665,40328297,31638635,24131388,24131389,31638030,24131227,18774644,18774643,21315843,21315844,28539213,37037731,46915292,42037637,42037635,50355322,58280669,46963548,46963477,37082506,37082507,31782729,24269940,24269941,30384459,24131177,17767773,12573677,12573676,17767767,24131168,24131258,24131259,31638462,40328112,40328455,31638792,31638791,31638070,24130958,17767618,17767619,24130960,31638071,40149221,40149222,38244045,29679225,29679227,22982143,22982144,30384453,38970767,42037632,42037633,38566604,38566605,31638052,31638053,38566594,38566589,38566588,44730361,50174796,49891487,48490577,38577308,30006415,30006416,38244070,48152963,50355215,50333515,50333517,50174832,40149276,31465606,23969944,17620498,12438911,12438912,17620505,23969962,28938025,21659361,21659362,27191045,35310865,44730307,35311253,35311254,42037604,33089693,33089692,35311023,44730410,38244041,30384439,24522983,24522981,32098231,32098235,39869443,39869444,49891497,47963683,38050499,37602710,29679236,29679233,38244058,48152954,39869434,31186993,31186992,39869428,39869475,39869474,49891515,52381393,49891508,40149241,35310896,34104015,29679241,29679240,31465645,23969965,23969949,23969950,27112963,27112962,27191050,20266770,14541102,10004622,10004621,14541112,14541385,14541383,14541150,14541151,20266868,20266970,27191274,32098240,24522992,24522991,27191082,28757197,35125316,35125397,27038272,20145330,20145331,27038279,27191097,27191096,24522977,20267082,14541305,14541306,20267086,20267099,20267109,14541461,10004833,10004834,14541468,20267313,27191335,27191334,27191418,27191419,35310836,35310905,27191102,27191101,20266840,14541141,10004643,6574616,4118413,4118411,6574612,10004635,10004794,10004793,10004651,10004652,14541166,17579238,23920660,27191389,20267411,20267412,21497863,21497864,27191805,27038284,20145334,14450721,14450723,20145342,21497848,15491221,10712499,10712500,10004737,6574662,6574663,10004745,14541321,20267114,15491226,15491225,21497854,28757188,27191306,27191303,27191302,35311047,31410567,27191398,27191297,20266987,14541240,10004696,6574641,4118426,2463367,2463365,4118420,6574633,6574703,6574704,10004798,14541398,20267212,23920655,27038337,20266926,14541531,14541533,20267417,20267400,14541582,14541581,20267474,21497907,21497908,27038291,27191115,21497761,20266974,14541293,10004723,6574656,6574657,10004729,14541297,15463331,10692155,10692154,14541247,10004700,10004701,14541253,20266994,27191312,27191590,27191527,20267179,14541361,10004773,6574686,4118450,2463382,1423944,1423942,2463374,4118438,4118455,4118456,6574700,10004789,14541380,20267188,20267431,14541545,10004863,10004862,14541540,14541522,14541521,20267199,27191546,27191281,27191200,27191201,28756865,28756867,27191277,20267057,14541284,10004717,10004716,14541278,10692142,10692141,7063733,4447465,2671943,2671944,4118431,6574648,6574711,10004806,14541411,14541550,14541593,10004895,6574757,4118484,2463401,1423956,810105,810104,1423949,2463392,4118473,6574716,10004817,14541428,20267218,20267481,20267480,20267424,15463202,15463201,20267353,14541494,14541327,14541326,15463276,21464033,15490831,15490832,21497474,21497491,20267051,20267050,27191354,20267034,20267035,20267043,15463266,10692113,7063713,4447455,2671940,2671941,4447458,7063721,10692137,15463315,20267008,24656390,18197921,14541575,10004885,6574750,6574749,10004828,6574722,4118465,4118464,4118469,6574735,10004813,14541421,14541439,20267268,27191622,21463950,15463209,10692078,10692079,15463214,12860548,12860549,15463271,15463272,10712204,7076901,7076900,10712198,15490846,21497499,21464016,21464015,28720226,28720235,21464023,21464008,15463250,10692101,7063708,7063705,7063704,10692095,10692129,10692122,10692121,15463293,21464062,24656383,20267468,20267467,20267455,20267454,20267260,14541435,268178315,20267254,14541481,14541480,20267329,20267338,27191718,27191631,20267273,20267274,27191636,28756912,21497542,15490871,10712209,10712208,15490865,21497534,28756872,28756871,28756860,21497682,21497681,28756851,37290716,47084782,37211249,28686879,28686881,37211214,35311362,27191707,27191706,21436903,15442256,15442257,21436906,28686953,28686824,21436811,15442206,15442207,21436818,28686829,37211168,37290734,31683847,24175531,17807558,17807559,24175535,31683853,27191712,27191714,35311376,37131115,28619258,28619259,28686911,21436876,15442239,15442238,10712217,10712216,15490877,21497548,28756924,37211242,28757045,21497680,21497678,28757040,32164319,32164320,37189319,37211177,28686834,21436822,21436823,21382631,21382630,15442270,10676076,10676075,15442263,21436913,21436846,15442224 Dl.O(d2) = 259607039,95261441,109515527,118345019,104187548,104187547,260819631,145390635,137437452,123707317,123707316,123707311,123707312,137437446,150474970,162600922,173628270,183420016,191979706,199342787,264426563,214933919,218396476,221305705,223797694,265674799,227841895,225957578,223797697,221305710,218396479 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14056751, s2 = 14140384, dlinesl.size( ) = 8 s1 = 15319721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15319721, s2 = 11077400, int(edited[s2]) = 0 s1 = 15319721, s2 = 11077400, d1 = 7, d2 = 7 Dl.O(d1) = 255027935,6979416,6979415,10580086,15318251,21280978,28498618,36996024,46874623,46874617,46874618,46874614,46874613,258039253,46874624,256311803,21280980,255027935,6979416,6979415,10580086,15318251,21280978,28498618,36996024,46874623,46874617,46874618,46874614,46874613,258039253,46874624,256311803,21280980,255027935,6979416,4385154,2626862,2626863,4385156,6979419,6983049,6979430,4385172,4385173,4385176,4385089,2626798,1516494,859790,859789,1516485,2626785,4385071,4385803,4385728,2627267,2627268,254332521,4384823,2627262,1516802,1516803,2627265,4385724,6980131,6985169,10588980,254728351,4387728,4387727,4384978,4384977,6979171,6979947,6980711,6980710,6979911,4385578,2627185,2627186,4385580,4389205,4389204,4385598,4385600,6979936,10580749,10585795,255394603,15318207,255393809,23279327,30694542,39292032,41025232,257429471,36995997,28498589 Dl.O(d2) = 255027935,6979416,6979415,10580086,15318251,21280978,28498618,36996024,46874623,46874617,46874618,46874614,46874613,258039253,46874624,256311803,21280980,255027935,6979416,6979415,10580086,15318251,21280978,28498618,36996024,46874623,46874617,46874618,46874614,46874613,258039253,46874624,256311803,21280980,255027935,6979416,4385154,2626862,2626863,4385156,6979419,6983049,6979430,4385172,4385173,4385176,4385089,2626798,1516494,859790,859789,1516485,2626785,4385071,4385803,4385728,2627267,2627268,254332521,4384823,2627262,1516802,1516803,2627265,4385724,6980131,6985169,10588980,254728351,4387728,4387727,4384978,4384977,6979171,6979947,6980711,6980710,6979911,4385578,2627185,2627186,4385580,4389205,4389204,4385598,4385600,6979936,10580749,10585795,255394603,15318207,255393809,23279327,30694542,39292032,41025232,257429471,36995997,28498589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15319721, s2 = 11077400, dlinesl.size( ) = 2 s1 = 15319721, s2 = 11077400, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15319721, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 14349934, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11555079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15325805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14353804, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14334403, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13184021, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11382979, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382979, s2 = 3672885, int(edited[s2]) = 0 s1 = 11382979, s2 = 3672885, d1 = 123, d2 = 117 Dl.O(d1) = 262772013,263593299 Dl.O(d2) = 127273898,259537388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382979, s2 = 3672885, dlinesl.size( ) = 26 s1 = 14350034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12796342, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15323070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15323070, s2 = 14323361, int(edited[s2]) = 0 s1 = 15323070, s2 = 14323361, d1 = 0, d2 = 0 Dl.O(d1) = 70421952,64788126,52869326,42465543,42465542,52869324,64788123,268149266,79327428,93458095,107887051,122303126,136279774,149545271,161850098,149545275,149545274,260296138,144425667,156835997,168304453,161850096,161850095,171790495,171790492,160591930,148319983,148319984,160591933,148319986,135147754,121298074,107005589,92672353,78616741,65318610,53318973,42856097,33814793,25997968 Dl.O(d2) = 70421952,64788126,52869326,42465543,42465542,52869324,64788123,268149266,79327428,93458095,107887051,122303126,136279774,149545271,161850098,149545275,149545274,260296138,144425667,156835997,168304453,161850096,161850095,171790495,171790492,160591930,148319983,148319984,160591933,148319986,135147754,121298074,107005589,92672353,78616741,65318610,53318973,42856097,33814793,25997968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15323070, s2 = 14323361, dlinesl.size( ) = 2 s1 = 15323070, s2 = 14323361, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15323070, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 11277941, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14339744, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14339782, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14339782, s2 = 16294717, int(edited[s2]) = 0 s1 = 14339782, s2 = 16294717, d1 = 71, d2 = 6 Dl.O(d1) = 153697348,141031758,127684107,113816614,99803048,99803047,107913426,93479272,258481723,65980456,79345527,93479268,107913422,122335843,136201518,260855128,122235189,136201514,262611418,93404975,101843966,93404806,87872081,74270631,74270630,87872077,101843985,115888438,115888708,114291589,100261594,100261593,114291585,128174663,122235918,107828500,107828501,113816623,101844235,87872250,79345612,79345614,93479414,93404846,93404848,107828525,107828555 Dl.O(d2) = 107828242,101844396,101844395,115888909,111696531,97775084,97775085,101844133,87872176,87872177,101844137,109396636,115888605,101844125,87872171,87872170,101844119,98901410,98901406,112888546,101844378,87872351,74270789,74270780,61494068,61494069,74270783,87872340,101844361,115888420,101844266,87872271,87872270,87872245,74270726,74270725,87872240,101844221,115888726,122236087,122235281,107828502,107828501,113816623,101844235,87872250,79345612,79345614,93479414,93404846,93404848,107828525,107828555,122236007,107913414,107913413,122335826,123588484,122236028,122235560 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 13003722, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11140645, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11140645, s2 = 11061490, int(edited[s2]) = 0 s1 = 11140645, s2 = 11061490, d1 = 35, d2 = 32 Dl.O(d1) = 255822630,46873558,260511449 Dl.O(d2) = 63224929,76240519,90049707,259378714,256987124,48747125,60141616,72878159,256987122,38827168,255499992,22849779,30243796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11140645, s2 = 11061490, dlinesl.size( ) = 16 s1 = 11531403, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531403, s2 = 11288366, int(edited[s2]) = 0 s1 = 11531403, s2 = 11288366, d1 = 30, d2 = 44 Dl.O(d1) = 274632114,231822401,230444055 Dl.O(d2) = 222795522,265065049,213054773,208345988,202636764,263667585,273599821,263287936,262401912 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531403, s2 = 11288366, dlinesl.size( ) = 22 s1 = 12970977, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12998072, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12998072, s2 = 11522418, int(edited[s2]) = 0 s1 = 12998072, s2 = 11522418, d1 = 57, d2 = 48 Dl.O(d1) = 268975407,60767475,258841909 Dl.O(d2) = 265703804,228445816,265371124,224545213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12998072, s2 = 11522418, dlinesl.size( ) = 16 s1 = 11206749, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15310950, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14354032, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11088321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11088321, s2 = 15129181, int(edited[s2]) = 0 s1 = 11088321, s2 = 15129181, d1 = 3, d2 = 45 Dl.O(d1) = 38796922 Dl.O(d2) = 194310762,201337978,207252048,212129317,216114330,218282319,214801342,214801341,210571448,210571449,205393820,199136227,191736789,183130966,173285410 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11088321, s2 = 15129181, dlinesl.size( ) = 26 s1 = 12998610, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14350374, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15323234, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11073033, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12998982, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14354130, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12999142, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15311200, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13753369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11532401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11532401, s2 = 7341319, int(edited[s2]) = 0 s1 = 11532401, s2 = 7341319, d1 = 63, d2 = 91 Dl.O(d1) = 226564604,265697606,228116766 Dl.O(d2) = 208295607,202574709,264314079,195767114,264006999,208295608,265617055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11532401, s2 = 7341319, dlinesl.size( ) = 26 s1 = 11549557, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11549557, s2 = 5430508, int(edited[s2]) = 0 s1 = 11549557, s2 = 5430508, d1 = 67, d2 = 101 Dl.O(d1) = 266033561,233005648,266687971 Dl.O(d2) = 215718766,264487789,206711802,274094899,265379573,226435267,265379579,265379577,226435275,228270828,228270825,226435271,226435272,228270826,228270832,226435281,224327297,221898757,219069268,215718772,211667952,211667951,215718770,219069266,219069262,219069263,221898752,224327292,226435272,228270826,229882381,274512353,226435277,224327294,221898755,219069267,215718772,211667952,211667951,215718769,265188505,265553751,228270828,229882380,231313789,232596922,232596924,265988723,265711401,226435273,265856543,226435279,226435278,228270831,229882383,265711401,265379575,274634154,265856541,229882383,265711401,226435273,224327296,221898757,219069268,215718772,211667952,206711803,200712845,263523419,165065039,153247602,140566165,272563736 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11549557, s2 = 5430508, dlinesl.size( ) = 60 s1 = 11528573, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11528573, s2 = 11633540, int(edited[s2]) = 0 s1 = 11528573, s2 = 11633540, d1 = 41, d2 = 37 Dl.O(d1) = 266706869,239224622,274885505,267144807 Dl.O(d2) = 267502205,267525077,267527147,267524508 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11528573, s2 = 11633540, dlinesl.size( ) = 26 s1 = 14350588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12973971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14354354, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11534339, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12974517, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12974595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12262287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12974651, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14094709, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8335542, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 8335542, s2 = 13193395, int(edited[s2]) = 0 s1 = 8335542, s2 = 13193395, d1 = 13, d2 = 9 Dl.O(d1) = 64129078,64129079,77277446,72173336,59434857,59434858,72173339,65321107,60190557,48793780,48793779,60190556,72930043,72930044,86528633,100487348,113736318,113736319,123931179,109795315,95593244,81559725,81559724,81559722,258033070,268913854,37658443,37658444,38463814,29906527,22550446,21584299,21584300,28857318,37398172,47307494,58697629,258694597,259436238,270298296,87663365,87663366,87663372,74059442,258864035,74522300,61740502,61740503,270339682,86393079,86393080,100350079,101630594,87663113,74059155,61279631,49801423,39782353,31103599,31103600,39782356,49801405,49801406,61279612,74059154,71429999,258694593,85095338,85095337,74059441,74059440,87663367,101630799,115671766,272254639,115671764,115671621,101630590,270895389,61279606,49801419,39782351,257049755,49801428,61279627,61279622,257632375,39782341,39782342,49801402,61279608,52011028,41699401,41699400,39782332,31103589,23618801,256502917,49801388,61279598,55458707,55458706,49801416,39782349,39782350,49801418,61279623,74059166,61279860,49801573,39782448,31103651,23618838,17304696,12181964,8213334,8213335,12181966,17304698,23618842,31103659,39782462,49801592,61279855,74059445,258864009,61279683,61279681,61279682,74059248,87663180,74059237,61279670,61279669,74059224,74059223,74059197,61279643,49801434,39782365,39782366,49801436,61279646,74059203,81268071,81268072,95327461,109582710,115671768,121017427,106764510,106764511,95327431,89433950,89433951,87663122,87663123,87663344,74059423,61279835,61279834,74059422,87663343,101630760,260700827,137317802,123586253,117662650,103529997,103529996,117662648,129557993,115671727,101630746,87663334,74059417,74059418,87663335,101630747,109394359,109394429,95140315,81082697,81082698,95140260,81197053,74843632,74843633,85428087,71842251,59103421,47705308,47705309,59103423,256751808,99369397,99369440,85428127,71842293,71842295,85428128,257317556,88479271,74843645,74843646,74843638,74843637,257917090,74843642,88479269,99369463,85428161,85428160,88479267,258537476,99369457,99369420,99369419,99369432,85428115,85428113,99369395,85428083,85428082,258097267,47705322,37784483,37784484,37784492,47705334,59103454,59103453,71842301,74843665,62045328,62045329,74843667,62045334,50552609,40516316,31819623,31819622,40516311,50552600,62045324,62045325,74843659,88479287,102485512,116586859,113369890,113369879,99369415,99369416,99369427,99369428,99369392,99369393,85428122,71842288,59103446,47705320,47705318,59103443,47705328,47705326,258097269,85428139,99369450,113369897,259308452,74843649,74843648,74843655,74843656,71061978,71061977,74843657,88479285,88479275,88479276,85428099,71842272,71842273,85428101,98549464,256593682,71061980,84625566,98549461,99369406,97845039,83983154,70455323,57760262,256562112,28079637,20906934,15001905,12824031,12824030,13886889,13886890,10625555,7013084,7013085,10625562,7808564,7808566,11705814,16752016,22990532,22996326,267920000,25186908,20203285,254903894,32900203,26644430,19831162,14206037,9765840,6420959,4028250,4028249,6420850,5322396,5322398,8250629,12220558,17347634,12940316,8803452,5734507,5734504,8803437,12940286,18242792,12998673,8849745,8849744,12998654,12998652,13771744,19267334,22997886,22997885,19831600,17365277,12234293,9766099,6421081,6421080,9622909,9765948,13833731,19343062,22785770,22785768,25993144,31152648,254668184,46442027,46442026,46442021,46442020,47198928,51016664,51016665,53312475,53312476,65311844,76004843,63021522,53312497,53312496,65311845,66911602,60105307,52464252,256059102,40866731,40866635,32899621,32899622,41823420,52140474,49858923,39835244,31152590,23665267,23665266,31152587,39019490,39019489,35186904,35186905,32095013,24520103,24520102,32094945,40866633,40866697,40866698,41889155,32953795,25233965,25233964,32953791,40866683,32094989,24520090,18088820,18088819,24520087,32094981,40866671,44642343,35257828,35257829,44642345,54654730,50886739,48358825,40366791,40366793,50402238,50072033,40052172,31371233,31371234,40052174,43912039,40866624,38736455,38736454,48359355,48942622,39019508,30430155,23024347,16782954,11734604,7834547,4973112,4973113,7834550,11734611,16782966,12336236,8333885,5378811,3307488,3307487,5378807,8333876,8691282,8691283,12784936,18036323,24454076,32014717,31325657,31325656,40003455,34648730,28099396,28099397,36570533,36570612,40018036,41683476,41683475,51994683,52271432,46355718,36497750,28034895,28034894,36213917,27821896,20706754,14845012,10209061,6708239,6708240,10209062,14845014,20706757,27771902 Dl.O(d2) = 4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047601,2423280,2423277,4042586,2421598,2421594,4042637,6446661,9809245,254699128,26781696,34824641,39129433,30530933,29401806,22071364,15966427,11082028,11082030,268220707,29401850,256922049,59281135,72018113,81198816,67733306,268222754,44545739,38169103,29602171,29602172,38169106,48081933,59472559,67733366,55393129,44545798,44545797,55393124,67733243,256389794,35168103,268339785,14480624,9963104,6548001,4102181,254215477,1418503,267818037,9962866,6547851,4102086,2453768,2453767,4102072,4102073,6547822,6548098,9963272,9962638,9962637,14479820,20181778,20182408,14481411,9963558,6548251,6548250,9963552,14480237,20182409,20182505,27079762,35167581,27080014,27080013,35167843,44545497,52802256,44431596,35056998,26974410,26974409,33164306,33164305,26972484,25646545,19029045,13582692,9300325,6092295,6092294,9300332,9906547,6511034,4080115,4080116,4079954,2441316,2441314,4079943,6510661,9905819,14401798,20086726,26973553,26973561,26973559,26974700,26974701,27185805,32907163,32907165,41832537,44427130,256597932,44427065,55273887,55273849,44427000,44426997,44427728,44427727,52475521,44432884,43360659,34260746,26382900,26382901,34260748,32697977,25015295,25015296,32697979,41600350,51900416 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 8335542, s2 = 13193395, dlinesl.size( ) = 2 s1 = 8335542, s2 = 13193395, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 8335542, Dl.E( ) = 14, 1e-05 seconds used appending s1 = 13286528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13368195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13368195, s2 = 13286527, int(edited[s2]) = 0 s1 = 13368195, s2 = 13286527, d1 = 25, d2 = 26 Dl.O(d1) = 33947284,26111384,26111383,19419886,13893835,13893047,13336222,13336226,9532996,6253561,6253563,3914805 Dl.O(d2) = 97889443,97889442 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13368195, s2 = 13286527, dlinesl.size( ) = 34 s1 = 14302696, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14302696, s2 = 11196566, int(edited[s2]) = 0 s1 = 14302696, s2 = 11196566, d1 = 36, d2 = 35 Dl.O(d1) = 254206927,1327869,2287367,254302813,1325952,756763,430083,242767 Dl.O(d2) = 73041,73514,39762,39760,73501,135201,244683,433168,761457,1333320,2297894,268316458,1297586,2237489,3737136,5975817 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14302696, s2 = 11196566, dlinesl.size( ) = 40 s1 = 7845294, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7845294, s2 = 11063819, int(edited[s2]) = 0 s1 = 7845294, s2 = 11063819, d1 = 111, d2 = 42 Dl.O(d1) = 255129646,25141828,18586803,13208393,13208392,9003945,5877862,5877854,3669678,3669680,5877854,3669678 Dl.O(d2) = 23424383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7845294, s2 = 11063819, dlinesl.size( ) = 56 s1 = 16269683, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11107177, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11107177, s2 = 14070643, int(edited[s2]) = 0 s1 = 11107177, s2 = 14070643, d1 = 11, d2 = 70 Dl.O(d1) = 46342160 Dl.O(d2) = 37334521,47244497,47244455,37334786,28797137,21531556,21531465,15517728,10732198,7090981,4464752,4464749,7090965,268073317,21531296,21531474,15517734,10732200,7090982,4464753,254503839,10732201,15517730,256334769,47244575,58638089,71374789,71374805,269318259,255504352,47244175,47244176,57867429,64395063,52521216,52521215,64395059,256447806,46511175,36643743,36643744,46511180,47244133,48802577,47244379,47244182,47244183,47244244,37334308,37334307,47244241,58637836,47244417,37334457,37334456,47244415,58637976,71374740,58638064,58637935,58637936,58638032,47244491,37334518,28796931,28796930,37334516,37334213,37334212,28796883,21531406,255842841,37334450,257456111,47244316,256447868,28796827,37334373,47244319,38879626,38879625,48801811,58062411,47244680,37334727,28797087,28797086,37334720,47244676,58638126,58638124,255504370,255504372,22897115,16666869,11632875,11632876,11632070,11632069,16665720,21859078,15786814,15786813,21859072,28797008,37334628,37334609,29168384,29168383,37728518,47244762,44605322,38879226,33351767,29531062,22188409,16060999,16061000,21531496,21531495,28797036,37334134,28797460,28797461,37335100,30049871,30049872,28797123,21531546,15517770,15517771,21531548,28797126,37334773,38880668,30294862,22896316,16666199,11632399,7749429,7749428,255121353,22674251,16477662,16477664,21531689,21531690,28797351,37335020,38346407,38346408,43414791,34313642,34313640,43414788,48552212,38637691,38637692,48552216,59944325,65516956,65516955,72671024,59931321,48538371,38623632,38623631,38805107,38805106,257565775,258250861,61409821,61409827,49930813,39912363,256007955,23753685,31236891,39912361,48552193,48552292,43299935,268617448,26328667,34201927,43299937,257466882,30063741,22685952,22685953,30063744 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11107177, s2 = 14070643, dlinesl.size( ) = 14 s1 = 14351078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14351078, s2 = 12657727, int(edited[s2]) = 0 s1 = 14351078, s2 = 12657727, d1 = 15, d2 = 19 Dl.O(d1) = 23484733,26334291,19606041,19606040,26334290,26234240,26234238,33995314,26153638,19454598,14202991,14202994,14201888,9762744,9762743,14201776,9762670,6418883,6418888,9762689,14201813,19179423,19179422,19605538,19606082,14048681,9660142,6352450,6352449,6419399,9763478,14099473,14099472,14099821,9697882,9697884,6419166,4027126,4027123,6419157,9763125,9660211,6352493,3985882,3985879,6352482,9409539,9409541,13734946,13737026,19226565,13735064,9411811,9409725,9409724,9411922,9411923,6418807,5855802,3655341,2186382,1268380,1268378,2186377,3655330,5855785,8970012,13159835,9698137,6378530,6378528,9698131,13720574,9398542,6157607,6157606,6378496,4001951,4001950,3852961,2308383,2308381,3852869,3852866,6157561,9398466,13720478,19209215,13720826,13720825,254611526,33673291,31590529,31590530,38089502,29525737,22183352,22183351,29525736,31645775,38089255,254281280,24101105,23418658,17142456,17142457,17142554 Dl.O(d2) = 137589213,123907925,123907924,259924676,272181782,173704059,162692133,150589751,137589210,123907922,123907923,137589211,150589753,162692136,173704064,178407574,167994557,167994558,178407577,187598114,187598115,195599945,273755953,187598132,195599954,195599946,187598116,178407558,178407559,167994549,156430956,156430957,167994551,178407564,187598121,187598106,178407543,178407544,178407578,178407579,187598113,187598118,178407557,167994545,156430951,143924152,143924153,156430964,156430955,143924135,143924134,143924133,143924132,143924126,130616767,116792042,102699507,88690381,75039508,62216341,62216340,75039505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14351078, s2 = 12657727, dlinesl.size( ) = 2 s1 = 14351078, s2 = 12657727, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14351078, Dl.E( ) = 24, 8.11e-06 seconds used appending s1 = 11078097, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11428349, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11428349, s2 = 11557114, int(edited[s2]) = 0 s1 = 11428349, s2 = 11557114, d1 = 2, d2 = 9 Dl.O(d1) = 189817771 Dl.O(d2) = 233237644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11428349, s2 = 11557114, dlinesl.size( ) = 2 s1 = 11428349, s2 = 11557114, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11428349, Dl.E( ) = 24, 1.38e-05 seconds used appending s1 = 11505087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11400909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11039243, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039243, s2 = 11173798, int(edited[s2]) = 0 s1 = 11039243, s2 = 11173798, d1 = 29, d2 = 35 Dl.O(d1) = 258184379 Dl.O(d2) = 260501582,269322515 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039243, s2 = 11173798, dlinesl.size( ) = 38 s1 = 11030431, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11239951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11491129, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14291712, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15283091, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15283091, s2 = 13018993, int(edited[s2]) = 0 s1 = 15283091, s2 = 13018993, d1 = 14, d2 = 3 Dl.O(d1) = 6428276,9776727,14221205,19850050,24648718,27118734,27118735,34656873,26665287,19850042,19850041,22544195,256414267,256949048,13209331,13209334,11274592,11274591,13208090,13208088,9003940,5877864,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680 Dl.O(d2) = 41770163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15283091, s2 = 13018993, dlinesl.size( ) = 2 s1 = 15283091, s2 = 13018993, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15283091, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 11443041, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11443041, s2 = 6552171, int(edited[s2]) = 0 s1 = 11443041, s2 = 6552171, d1 = 63, d2 = 114 Dl.O(d1) = 262321758 Dl.O(d2) = 19798600,19798601,26605472,34592380,43862836,255881498,40176412,47234369,37325606,28789299,21525265,21525264,28789296 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11443041, s2 = 6552171, dlinesl.size( ) = 42 s1 = 10512486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11001523, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11001523, s2 = 10512485, int(edited[s2]) = 0 s1 = 11001523, s2 = 10512485, d1 = 3, d2 = 7 Dl.O(d1) = 6227138,3898603,2334856,2334857,1368818,1259051,1259052,779084 Dl.O(d2) = 771921,438483,438480,441874,778851,786644,1382779,2388698,3985481,6163510,6163467,3856558,3856559,3856613,3856609,6161333,3855219,2309803,1340093,765384,435311,435309,765372,1340062,1354238,1354235,2336505,3901265,6230265,6351665,3985300,2388563,2326304,2326301,3885007,6154888,3851058,3851055,3853065,2308437,1342751,1342748,2315024,3853101 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11001523, s2 = 10512485, dlinesl.size( ) = 8 s1 = 15322238, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14340980, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14340980, s2 = 11039226, int(edited[s2]) = 0 s1 = 14340980, s2 = 11039226, d1 = 19, d2 = 2 Dl.O(d1) = 9299547,6091882,6091884 Dl.O(d2) = 7420384,9300095,6342682,6342684,9646724,14031534,257857731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14340980, s2 = 11039226, dlinesl.size( ) = 24 s1 = 11202763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11202763, s2 = 10358764, int(edited[s2]) = 0 s1 = 11202763, s2 = 10358764, d1 = 35, d2 = 54 Dl.O(d1) = 272089971,273497643 Dl.O(d2) = 216772910,212887791,212887792,216491870,212571233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11202763, s2 = 10358764, dlinesl.size( ) = 42 s1 = 14894131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13006962, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13006962, s2 = 14124982, int(edited[s2]) = 0 s1 = 13006962, s2 = 14124982, d1 = 56, d2 = 31 Dl.O(d1) = 273681347,162876156 Dl.O(d2) = 260437701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13006962, s2 = 14124982, dlinesl.size( ) = 28 s1 = 16371898, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16357221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16357221, s2 = 16381152, int(edited[s2]) = 0 s1 = 16357221, s2 = 16381152, d1 = 1, d2 = 3 Dl.O(d1) = 6991520,10597636,268205795,268383404,33605134,25807384,25807383,33605132,42630015,46910909,58275990,49207916,49207915,57771656,46806751,36928378,28429678,22677819,16480822,16480821,22677814,30053996,32222068,24627535,18174478,12889095,12889093,18174475,24627526,32222058,28452342,23267690,17003753,17003754,22677773,16480797,11483312,11483313,16480802,22677781,22700609,16497139,16497136,255781402,17469751,254703230,31288934,267762708,24929969,32591665,29697116,22343506,16194523,16194522,22343504,29697112,25312030,18735146,13337272,13337271,13337283,18735156,25312041,18735171,13337299,254915053,5962257,3728429,2232225,1294518,738868,738869,1294521,2232229,3728436,5962272,9112570,13337230,18735089,20278138,14549688,14549687,20278136,27206108,27205815,27205816,27206002,26891978,26891977,27206003,25513789,18903685,13472105,9213703,8468244,8468247,12501201,14921548,12941550,12941548,11499673,7649075,4839522,4839519 Dl.O(d2) = 2261092,254445791,4505111,7153644,10824024,13102800,8929902,8929901,13102799,18445222,20019466,14338378,9850387,6470084,6470083,9850385,14338374,20019460,26901966,21443628,15447742,10680432,10680431,15447740,21443626,27965394,27965393,36423888,46276595,57621030,70311446,83836336,97694065,97694066,111612795,111612796,100161540,86199241,72601916,59864060,48472520,38559481,29989594,22621838,255129971,11761284,16818876,23068250,30479169,39072057,48997015,269835619,78439610,65156864,53172112,257204756,25885645,19225836,268145682,13922659,19455134,26154167,33995798,257845705,78894403,93004222,107412264,260937707,148973048,161278763,172479372,182431880,182431883,191135602,263178917,165983559,154227166,141566365,128210302,114327455,100297123,86335118,72737727,60000798,48609434,38693875,30117603,22736157,255491305,11520233,11520232,16529625,22736156,255491302,30117609,30117610,38693869,30117593,22736148,16529621,11520229,7663284,7663285,11520230,16529623,22736149,30117594,38693871,48609430,60000792,72737721,86335107,100297106,114327433,128210265,141566319,154227097,273135563,186044097,194253894,201286314,207205315 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16357221, s2 = 16381152, dlinesl.size( ) = 2 s1 = 16357221, s2 = 16381152, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16357221, Dl.E( ) = 6, 1.1e-05 seconds used appending s1 = 11524465, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13007248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11421257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11421257, s2 = 8165138, int(edited[s2]) = 0 s1 = 11421257, s2 = 8165138, d1 = 22, d2 = 24 Dl.O(d1) = 262278019 Dl.O(d2) = 268323194,7729016,7584093,4797023,2891531,2891530,4797020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11421257, s2 = 8165138, dlinesl.size( ) = 34 s1 = 14351556, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11345409, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14355308, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355308, s2 = 11650316, int(edited[s2]) = 0 s1 = 14355308, s2 = 11650316, d1 = 43, d2 = 16 Dl.O(d1) = 18612500,18610925,254286752,5889812,5889811,9019920,13228530,18610970,13831900,255291759,255291732,254456716,9622645 Dl.O(d2) = 60105013,272412536 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355308, s2 = 11650316, dlinesl.size( ) = 40 s1 = 11003373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003373, s2 = 15275231, int(edited[s2]) = 0 s1 = 11003373, s2 = 15275231, d1 = 11, d2 = 12 Dl.O(d1) = 255013637 Dl.O(d2) = 254338999,1568146,891839,254161217 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003373, s2 = 15275231, dlinesl.size( ) = 8 s1 = 12980513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11036275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11036275, s2 = 7962869, int(edited[s2]) = 0 s1 = 11036275, s2 = 7962869, d1 = 39, d2 = 45 Dl.O(d1) = 254762409,4633665,2791300,2791298,4633660,7335445,11063109,15942633,256377843,34576711,26589453,26589452,29390114,22059442,15955203,15955202 Dl.O(d2) = 14935643,254704469,2528979,1457422,825162,465978,465977,825160,1457419,2528975,4229740,4232556,2530603,2530602,4232551,3718008,3718009,5945604,6750012,4229601,2528888,1457373,1457374,1459354,2532485,4235733,4263786,4263787,3720100,3720103,5948658,5948657,9092957,256628439 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11036275, s2 = 7962869, dlinesl.size( ) = 36 s1 = 11323711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11323711, s2 = 11467562, int(edited[s2]) = 0 s1 = 11323711, s2 = 11467562, d1 = 23, d2 = 10 Dl.O(d1) = 262071689,173264789 Dl.O(d2) = 199119104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11323711, s2 = 11467562, dlinesl.size( ) = 20 s1 = 14351634, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11161055, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13876473, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15312273, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351692, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14351692, s2 = 11039286, int(edited[s2]) = 0 s1 = 14351692, s2 = 11039286, d1 = 15, d2 = 5 Dl.O(d1) = 206176091,211205575,215321934,218720339,221586872,265013028,224047595,221586869,218720351,215321940,211205578,206176094,206176095,211205580,215321921,211205567,206176085,200089156,200089155,206176086,211205561,263192346,192876697,263192348,211205565,211205593,215321952,215321938,264248630,215321933,215321934,218720339,221586871,224047597,224047603,224047593,224047592,265013024,265013022,224047605,224047604,226181781,224047594,221586869,218720351,215321940,211205578,206176094,200089162,192876704,184476864,184476863,264454307,211205585,206176098,200089164,192876705,263192352,264248634,221586886,224047607 Dl.O(d2) = 224047606,264784482,215321914,211205558,206176081,200089150,262284336,272172981,257577620,36796350,28299077,21090963,15149814,10448463,10448464,15149793,21090930,28299036 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14351692, s2 = 11039286, dlinesl.size( ) = 6 s1 = 11434373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434373, s2 = 16127060, int(edited[s2]) = 0 s1 = 11434373, s2 = 16127060, d1 = 55, d2 = 61 Dl.O(d1) = 263784673,263784675 Dl.O(d2) = 267290218 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434373, s2 = 16127060, dlinesl.size( ) = 20 s1 = 12545589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12545589, s2 = 12254690, int(edited[s2]) = 0 s1 = 12545589, s2 = 12254690, d1 = 15, d2 = 8 Dl.O(d1) = 95141218,88687041,75036332,67617912,55279929,44435810,44435811,55279931,53142737,42692249,33661594,25855620,19198742,19198743,18490944,13136829,13136826 Dl.O(d2) = 15444315,19445527,19445528,19288502,16447481,11459803,11459802,13364734,9133707,9133708,6515755,6213150,3888892,2328486,1349647,1349649,2328488,3888894,6213155,6994157,6994194,5672165,5672166,5672194,3528164,3528166,254624277,12816057,16182048,22328149,20106329,14416350,14416349,20106327,26997328,28185505,254471382,19232039,14904596,13790096,9455668,6199633,6199632,9455667,9455264,9455263,254689802,11004630,15875723,21969143,21365758,21365759,267809820,18767561,21966579,21966578,15873247,11002094,7283055,4592949,2763234,2763235,254517745,255329132,20106755,20106812,26997649,33061814,25332753,18753445,13352744,9124799,5970937,3734027,3734025,5970942,7284251,11003760,14421627,9920132,9920134,8692226,5657177,3517953,3517952,5657167,4593811,2763695,1602037,910904,910905,1602045,2763718,4593849,7284525,7256970 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12545589, s2 = 12254690, dlinesl.size( ) = 16 s1 = 15305684, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13008704, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10743707, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13008828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351835, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14351835, s2 = 14150334, int(edited[s2]) = 0 s1 = 14351835, s2 = 14150334, d1 = 18, d2 = 52 Dl.O(d1) = 245348030,245396313,267384904,245246348,245246346,245396290,245537692,245396285,245246339,245086465,244915353,244733031,267300146,245086470,245086469,245246349,245396294,245537693,245396324,245246368,245246369,245348027,267403112,245629115,245755517,245794471,267403114,245537727,267420636,245670597,245537712,245537709,267384904,245246348,245246346,245396290,245537692,245396322,245246367,267323118,244733030,244915351,245086485,245246365,245396319,245537709,267384904,245246348,245246346,245396287,245396286,245246360,245086480,244915346,244915345,245086477 Dl.O(d2) = 237514052,238232440,238886607,238886611,266603244,237514056,238232439,237514054,237514055,238232441,238886609,239487622,240042483,240042488,240042487,239487625,238886608,238886609,238886603,238232435,238232436,238232440,238886607,238886611,266603244,237514056,237514051,236722770,236722771,235854524,234901517,274562522,274202404,264535760 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14351835, s2 = 14150334, dlinesl.size( ) = 2 s1 = 14351835, s2 = 14150334, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14351835, Dl.E( ) = 56, 3.6e-05 seconds used appending s1 = 15321413, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14005967, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11106905, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11106905, s2 = 2764758, int(edited[s2]) = 0 s1 = 11106905, s2 = 2764758, d1 = 104, d2 = 24 Dl.O(d1) = 255782179,20812097,27033299,256222531,44497684 Dl.O(d2) = 81105908 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11106905, s2 = 2764758, dlinesl.size( ) = 24 s1 = 11568059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568059, s2 = 10996516, int(edited[s2]) = 0 s1 = 11568059, s2 = 10996516, d1 = 70, d2 = 69 Dl.O(d1) = 265982286,227217854 Dl.O(d2) = 99872657,256420374,255102322,29726967,22370310,22370312,29726972,33052179,25323702,25323701,23550625,22163694,17242543,15475907,10702064,7070470,4451542,2674250,2674249,4451538,7070456,8088803,8088807,12031989,12031990,8089296,5182656,5182655,8089291,12032722,12546352,10795271,10795272,7570839,7570838,11394630,12147453,17268164,23579961 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568059, s2 = 10996516, dlinesl.size( ) = 8 s1 = 14341850, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11398275, s2 = 11624484, int(edited[s2]) = 0 s1 = 11398275, s2 = 11624484, d1 = 61, d2 = 38 Dl.O(d1) = 175395635,184944843,262198998,261681936,262198996,184944840,184944839 Dl.O(d2) = 245019964 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11398275, s2 = 11624484, dlinesl.size( ) = 12 s1 = 14351954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11464249, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464249, s2 = 11026518, int(edited[s2]) = 0 s1 = 11464249, s2 = 11026518, d1 = 16, d2 = 10 Dl.O(d1) = 264159378,83981653 Dl.O(d2) = 268197995,254709915,4271807,2556673,2556670,4229171,3721799,2228498,1292418,737632,737633,1292421,2228505,3721823,4855021,6812021,4272653,4272657,4229594,2528886,1457373,1457374,1459354,2532484,2226904,1291574,1291576,2226914,3718915,4235103,3306692,1945351,1111367,623706,346631,346629,623701,254270161,2570206,2570207,2556423,1472476,832791,827426,827425,1461812,2536810,4242895,6769690,10295956,6780628,6780626,10309361,6821910,4279520,4279519,4264135,4264137,4238166,2569654,2569651,2569778,1479523,1479525,2569837,4298362,6749276,4229056,2528574,2528575,254480437,3702474,2217608,2217607,3702473,5921110,9056666,255096358,10988661,7274109,4587376,4010122,3702334,3702335,5920899,5208330,5208329,8129404,12088624,9712630,8123926,8123925,10365968,14948250,10282445,6758215,4234977,2532032,2532033,4234982,5212896,3180362,1861596,1861595,3180359,5212889,6832070,10369827,10397825,10397823,9063438,5926286,3705609,3705608,5926283,9063432,13278994,10315740,6785929,5922090,5922088,9057891,5944031,3716896,2225711,2225713,3716901,5944069,5586343,3465804,3465803,2088322,1200839,676224,376268,206411,206410,117523,64377,35499,35494,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64463,64465,64472,64468,64108,64112,65718,65720,254092199,700874,1236542,2141273,3591455,5665155,3523726,2096697,254287219 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464249, s2 = 11026518, dlinesl.size( ) = 16 s1 = 14341886, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12983957, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063127, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568449, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11568449, s2 = 6575842, int(edited[s2]) = 0 s1 = 11568449, s2 = 6575842, d1 = 65, d2 = 86 Dl.O(d1) = 266259400,236231774,237065183,237826039,238518057,266752522,240272920 Dl.O(d2) = 129167053,115235834,115235833,259670390,258416498,73541931,73541930,60794721,49394046,256137232,17154321,254927556,31411018,255568338,15473597,11694751,11600499,11600496,13521773,13521770,18958013,256511207 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11568449, s2 = 6575842, dlinesl.size( ) = 26 s1 = 11297911, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11297911, s2 = 10353770, int(edited[s2]) = 0 s1 = 11297911, s2 = 10353770, d1 = 38, d2 = 49 Dl.O(d1) = 261828492,60259819,257645224,22959560,16723709,254805271,7789925,11681948,16723714,16019443,11122664,11122663,16019441,22135606,22537216,22959575,16723946,16723947,254923149,254300107,1310635,748274,748275,1310637,2258095,254445389,9201360,13455064,14423461,20112115,20237571,14521882,9992275,9992274,14521888,17968066,23823437,31312382,36413648,27955436,20793995,14901644,10245841,6731991,6731989,6025412,3769428,2258444,2258445,3768816,3768821,3769330,5821796,5821792,5821773,5821777,8920986,13091024,18429912,24943809,261600495,163376566,174228826,183898251,192372688,273371524 Dl.O(d2) = 192372685,199669206,273017850,260922696,272035346,259779214,19352137,26029226,33850130,40622426,31908115,31908114,40622338,31908030,24376524,24376525,24376594,268141288,12740847,17978131,24376579,31908106,33721391,25914609,19252556,13756862,9426792,9426793,13756864,19252560,25914616,33721401,31908066,24376548,17978107,17978106,256055599,256210854,35182101,27093289,27093288,35182099,27093292,20194383,17978123,17978124,17978135,12740849,8658150,5631935,3499821,2080048,1195905,673407,374692,374691,371778,203616,111331,61295,34353 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11297911, s2 = 10353770, dlinesl.size( ) = 60 s1 = 11645011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645011, s2 = 6345236, int(edited[s2]) = 0 s1 = 11645011, s2 = 6345236, d1 = 80, d2 = 0 Dl.O(d1) = 267699713,247833912 Dl.O(d2) = 246655293 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645011, s2 = 6345236, dlinesl.size( ) = 42 s1 = 11563463, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11607365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11607365, s2 = 5320591, int(edited[s2]) = 0 s1 = 11607365, s2 = 5320591, d1 = 75, d2 = 34 Dl.O(d1) = 266819738 Dl.O(d2) = 220620672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11607365, s2 = 5320591, dlinesl.size( ) = 48 s1 = 11382657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11382657, s2 = 518500, int(edited[s2]) = 0 s1 = 11382657, s2 = 518500, d1 = 49, d2 = 66 Dl.O(d1) = 260617460 Dl.O(d2) = 9006448,9006428,9006429,5879223,5879224,9006442,13212552,15633284,10818480,10818479,13212531,18592838 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11382657, s2 = 518500, dlinesl.size( ) = 2 s1 = 11382657, s2 = 518500, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11382657, Dl.E( ) = 104, 2.6e-05 seconds used appending s1 = 15329287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13011006, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13011006, s2 = 14287567, int(edited[s2]) = 0 s1 = 13011006, s2 = 14287567, d1 = 16, d2 = 14 Dl.O(d1) = 137255858,150295866,162431363,173473890 Dl.O(d2) = 173473893,173473892,183280771,191855361,199230333,205470297,210632361,214849709,210632366,205470310,261551496,183280774,261551494,205470305,210632364,263431970,199230340,262574028,199230335,191855364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13011006, s2 = 14287567, dlinesl.size( ) = 2 s1 = 13011006, s2 = 14287567, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13011006, Dl.E( ) = 18, 5.01e-06 seconds used appending s1 = 13011064, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11454439, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10720904, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13011274, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13011412, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11226479, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11226479, s2 = 11655172, int(edited[s2]) = 0 s1 = 11226479, s2 = 11655172, d1 = 18, d2 = 12 Dl.O(d1) = 263300061,196207340 Dl.O(d2) = 217052344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11226479, s2 = 11655172, dlinesl.size( ) = 28 s1 = 10990637, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560311, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11040589, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11040589, s2 = 16244530, int(edited[s2]) = 0 s1 = 11040589, s2 = 16244530, d1 = 0, d2 = 22 Dl.O(d1) = 23353353 Dl.O(d2) = 174217453 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11040589, s2 = 16244530, dlinesl.size( ) = 30 s1 = 14352404, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14352430, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14352430, s2 = 9038866, int(edited[s2]) = 0 s1 = 14352430, s2 = 9038866, d1 = 81, d2 = 64 Dl.O(d1) = 265850372,221795784,218949247,215576439,211495351,206501471,200460183,263867512,175429739,164671752,261670593,126790070,112935544,98946311,85021119,71448928,58718254,47329612,37421286,28879430,21603870,21603871,22449490,22449491,21603566,15575653,15575652,21603564,21603699,28879150,28760424,21500871,21500872,17189534,12086914,12086915,15575729,15493731,15493730,15493738,18548109,18548110,25094940,32794123,34639149,34639150,37420682,28878969,28878971,34639181,26647672,26647673,34639185,28879156,28879155,26647707,19834181,14208543,14208545,19834188,21603530,28878926,28878931,23002084,16762350,15575735,15575733,21603671,23470267,19834151,14208529,14208530,19834154,26647665,28878959,28878961,37294244,28760447,21500884,15493751,15493752,21500888,23470280,28760374,37294158,28760383,21500850,21500849,28760404,32794111,32794117,36887294,28390544,28390546,36887298,42211824,33865480,26043441,26043442,26647676,34639189,43912609,43912624,34639201,26647691,19834168,255728913,34639204,43912630,47328850,38996416,30407130,30407129,28879117,28879118,30904908,26647657,26647655,26647654,34639160,43912585,37420668,28879107,28879106,37294234,28760437,28760431,28760430,37294228,37294153,37294154,28908427,28908426,28760398,28760400,37294194,36794047,36794046,46680141,52086863,42211829,33249755,33249756,26043450,19364577,19364576,26043447,33865488,42911074,53377430,43912643,43912618,37447574,37447573,47354183,53911111,43386885,43386884,53911107,47354430,47329111,37420866,37420867,42211855,33249775,25498752,18893148,18893149,25498756,28908300,21634020,15602572,15602574,15602583,15602582,21634041,18893155,13463824,9207206,9207207,13463829,18893162,25498775,33249810,37447513,47354110,47354411,52572599,47354449,47354451,47354190,47354188,53377423,53377424,42911175,33865577,33865561,26043497,26043462,19364581,19364580,26043457,33249786,42211861,42211847,42211846,37447481,34287789,34287788,43386894,53911116,47354446,37447806,28908446,21634109,21634108,28908322,21634036,15602578,10793898,7131354,7131355,10793904,15602587,21634049,25498733,18893138,18893137,25498728,25498766,28908218,28908216,37447454,47354038,58741635,47354456,37447810,37447811,47354463,48585499,49983119,49722362,39703566,39703567,37447549,28908281,28908280,37447545,42911093,42911094,47354440,47354441,47329619,47329618,58718261,58741987,58741986,58705522,47316454,37407965,37407966,37447841,28908456,28908455,37447497,28908250,21633991,15602559,10793886,10793889,15602566,21634006,28908276,37447543,37447617,33249749,33249748,29382646,22052510,22052509,29382642,37947403,47865647,59261496,258734297,77615447,70701197,70701198,84252787,98146171,85043202,71471381,71471382,77615426,71471324,58741628,58741627,71437104,58705516,58705517,47354115,47354114,269395619,49926006,258250599,86971660,86971661,100955914,105766040,91544373,77615383,77615356,64447411,52572424,52572427,52572463,48311810,48311811,52572546,48311818,48311819,42211593,33249634,25498647,25498646,33249632,42211590,52572283,58716805,47328081,37419840,37419839,33249832,25498797,18893172,18893174,25498803,33249842,33249730,25498706,18893125,18893126,25498710,33249734,37419931,33249884,28878302,21603038,21603037,25498579,25498580,18893209,13463849,9207219,6027790,3771053,3771054,6027792,9207227,13463865,18893244,25498618,25498619,33249595,33249926,28878266,28878268,37419867,42211523,37419902,37419900,37419814,28878211,21602977,15575303,15575302,21602972,28878203,21602999,21602998,28878236,25498791,18893169,18893168,21602967,28878193,28289439,28289438,25498697,21603087,15575356,15575359,21603090,28878306,21603050,15575331,15575330,21603044,25498672,25498671,18893200,18893201,18893183,13463836,13463835,13463861,13463862,18893236,25498861,18893215,13463852,13463853,18893221,21603013,21603015,23450081,23333957,23333958,30756623,28878228,21602993,15575309,15575308,19648050,19648052,19648058,15575315,15575314,21603005,28878251,25498784,23450052,23450051,21083049,15143931,15143930,21083045,15575371,10774073,7118811,4482196,2693118,2693117,4482192,7118807,10774060,15575342,21603069,21083040,15143926,15143925,21083038,21602962,28878186,37419792,42211999,33249919,25498857,25498855,28878284,21603023,15575323,15575324,21603029,17067676,17067675,23333959,28878765 Dl.O(d2) = 263697589,180014125,262008266,262443979,263322125,196731868,203374460,203374439,196731848,264613039,203374466,208941448,211305223,264189012,213514746,208941439,203374459,203374460,203374439,196731848,196731849,203374442,208941419,264078010,196731876,188971237,180014131,180014122,262008264,263697587,203374453,196731897,188971257,180014144,180014145,188971259,196731898,273705498,200218041,193030091,188971203,188971206,263111460,188971214,196731840,203374422,208941404,203374474,203374475,208941457,213514759,217260687,217260689,264377518,203374458,203374460,203374439,196731848,188971218,180014115,169837545,169837546,180014117,263697585,196731874,203374466,208941448,211305223,264189012,213514704,264078006,196731835,188971208,180014112,169837544,158476770,146115570,132899989,119081091,104895512,258443092,51936246,51936247,63746850,58596747,58596746,71329730,84902844,87844667,260036387,100378765,114401610,260036383,72828200,60090858,48694646,38772682,38772683,48694648,60090862,72828210,72828192,60090851,48694642,48694643,60090853,72828195,86423170 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14352430, s2 = 9038866, dlinesl.size( ) = 26 s1 = 14352432, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13012512, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11039069, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14352462, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14352462, s2 = 14124804, int(edited[s2]) = 0 s1 = 14352462, s2 = 14124804, d1 = 35, d2 = 41 Dl.O(d1) = 24492467,18067732,13126300,8946343,8946342,13125785,8946451,8946450,13126394,13126397,18476656,25002651,260029759,100284533,114314826,128197551,141554026,271817221,86322462,72725083,59987697,48595781,38679408,38679409,48595784,59987699,72725088,86322469,100284537,114314820,128197544,141554024,154215363,270275840,257398478,255368024,48595780,255368026 Dl.O(d2) = 136360242,122375874,259791050,79375037,66006715,258483497,93511829,107949278,122375869,136360239,149626200,261558226,136360244,136360241,122375872,122375871,261527859,161923552,263008617,191592464,199012744,199012743,205287578,199012749,199012746,191592457,182959219,173075051,161923553,263008619,182959225,173075054,161923548,161923549,173075057,182959229,263784081,199012752,199012744,263437282,173075051,161923553,263008619,182959225,173075054,161923548,161923549,173075057,182959229,263784081,199012752,199012744,199012743,205287578,199012749,199012746,191592457,182959219,173075051,161923553,263008619,182959225,173075054,161923548,161923549,173075057,182959229,263784081,199012752,199012744,199012743,205287578,199012749,199012746,191592457,182959219,173075051,161923553,149626202,136360242,136360243,136360241,122375872,122375871,261527859,161923552,173075060,182959231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14352462, s2 = 14124804, dlinesl.size( ) = 2 s1 = 14352462, s2 = 14124804, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14352462, Dl.E( ) = 52, 2.22e-05 seconds used appending s1 = 12987845, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12987845, s2 = 10710369, int(edited[s2]) = 0 s1 = 12987845, s2 = 10710369, d1 = 0, d2 = 0 Dl.O(d1) = 17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,12429023,17607356,17611144 Dl.O(d2) = 17610693,17608590,12429223,12429224,17608596,17607330,17607331,23953567,31445394,23954076,23954075,31445834,23953915,23953916,25411058,18819832,18819833,23953928,23953927,23297250,23297249,30714045,31457883,31457885,40125217,40125218,31450261,23957474,17610147,17610146,22564297,16384498,16384500,17608627,12429250,8400469,5420838,3332381,1959836,1119537,628160,628159,1119529,1959817,3332339,5420764,8400328,12428956,17608137,17608667,17613354,18820466,17614415,16719336,11677626,11677625,16719330,17607343,17608081,12428920,12428918,12429086,8400386,5420792,5420791,8400379,12429071,17608318,18819818,18819819,23955711,17608729,17608726,17613302,23954886,23959264,23955055,17613700,12432486,8402461,8402460,8402335,8402334,12432269,17608244,12429026,12429023,17607356,17611144 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12987845, s2 = 10710369, dlinesl.size( ) = 2 s1 = 12987845, s2 = 10710369, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 12987845, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10710368, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15325967, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15325967, s2 = 11439484, int(edited[s2]) = 0 s1 = 15325967, s2 = 11439484, d1 = 36, d2 = 32 Dl.O(d1) = 264910095,221122843,223637501,225815567 Dl.O(d2) = 212333474,207492339,263208528,186518539,262776711,154899129 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15325967, s2 = 11439484, dlinesl.size( ) = 36 s1 = 11166657, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11166657, s2 = 16364261, int(edited[s2]) = 0 s1 = 11166657, s2 = 16364261, d1 = 14, d2 = 32 Dl.O(d1) = 53455197,53455198,65475095,65475098,53455199 Dl.O(d2) = 257840861,42980901,33927390,33927389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11166657, s2 = 16364261, dlinesl.size( ) = 38 s1 = 11348689, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12271293, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10837866, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14352644, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14352644, s2 = 14201596, int(edited[s2]) = 0 s1 = 14352644, s2 = 14201596, d1 = 30, d2 = 23 Dl.O(d1) = 182764317,182764318,273486233,182764319,172865662,161707618,161707617,262546657,261518265,122203921,107798779,93376800,79249627,65885932,65885933,53817971,43292714,34195028,26322414,255304223,14040881,19596049,19596076,19596077,16248856,16248857,256407839,48260836,258139667,85978191,99936200,99936201,113958999,127837669,261183194,113958997,127837667,141198742,153873430,153873431,165652302,176322733,185767761,185767762,194004456,201060956,207009451,264764175,215937414,265203889,222066139,265723309,226570061,224476187,222066141,222066140,222412305,219652459 Dl.O(d2) = 90897158,77017177,63905540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14352644, s2 = 14201596, dlinesl.size( ) = 2 s1 = 14352644, s2 = 14201596, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14352644, Dl.E( ) = 34, 1.81e-05 seconds used appending s1 = 11166011, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11147447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15322135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12643834, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11288457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11288457, s2 = 10545214, int(edited[s2]) = 0 s1 = 11288457, s2 = 10545214, d1 = 101, d2 = 119 Dl.O(d1) = 117667652,261901491 Dl.O(d2) = 224649774,222263201,219483051,216191724 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11288457, s2 = 10545214, dlinesl.size( ) = 24 s1 = 11507947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11507947, s2 = 7527545, int(edited[s2]) = 0 s1 = 11507947, s2 = 7527545, d1 = 54, d2 = 67 Dl.O(d1) = 265454545,227165472 Dl.O(d2) = 267511509 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11507947, s2 = 7527545, dlinesl.size( ) = 34 s1 = 14354571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11147365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11174793, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174793, s2 = 14080064, int(edited[s2]) = 0 s1 = 11174793, s2 = 14080064, d1 = 45, d2 = 52 Dl.O(d1) = 268065914,28525716,28525717,36836355,37025118,28527100,28335253,21123285,15179059,10469376,10469380,15179071,15109350,15108946,10421276,6901125,4333052,4333053,6901131,10420853,6869831,6869834,8007924,8007921,10593803,6988596,4391544,4391542,6988584,10593787,15338233,17925082,24309793,17925139,17925140,24309873,26607617,26607616,29485141,29485142,35095721,27009329,27009328,35095715,31827038,31827035,24309941,18774376,13370364,9138111,5979922,5979920,6544750,6544751,6544759,6544760,9957937,14472823,20171893,14578782,10031786,10031785,14578775,20314660,22255053,22254511,22254512,21409224,20117744,14427415,9924362,6522644,4086870,4086868,6522637,9924346,14427383,20117692,27009298,35095687,44472505 Dl.O(d2) = 259874399,83979118,259498756,81124984,70451183,57756106,258217456,6797945,4262698,2548465,2528823,1457344,1457345,2528825,4229468,5374483,8327373,8327382,8327383,255173443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174793, s2 = 14080064, dlinesl.size( ) = 54 s1 = 16348480, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16348480, s2 = 13073897, int(edited[s2]) = 0 s1 = 16348480, s2 = 13073897, d1 = 14, d2 = 16 Dl.O(d1) = 31859915,24337817,17947785,12718020,12718021,17947787,24337821,30223679,30223678,24337818,24337819,256560483,40561573,50602583,62101135,74904497,88542786,102549340,271884477,156334281,167913307,178339507,263653597,188381866,179341591,262884923,157624857,145215788,131982347,118165769,104010291,89885448,76084908,63084875,51393425,41200975,32380939,24760999,18284520,12977828,12977829,255282304,14253745,9797163,6440224,6440226,9797164,9922321,9922320,14424191,20113203,254149292,13622084,9350147,9350148,13654439,13632794,9335051,6114574,6078573,6078574,9279712,9320606,9320607,13571890,9292296,9292295,9335039,7751401,4909056,4909055,6075117,6075118,9274578,6114552,3825776,3825777,6114560,6110103,3823120,3823121,6110112,3825947,3825951,3806324,2280057,2280055,3806321,6083105,9286050,9305516,13590357,19038785,16942181,11857396,7924502,5037580,5037579,254815911,16942177,23214006,30636933,39234808,257595889,60561240,49161442,49161443,258203625,73305073 Dl.O(d2) = 100896463,100896462,114949312,128850026,142207908,154843735,166548202,177125406,186475717,193103110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16348480, s2 = 13073897, dlinesl.size( ) = 12 s1 = 12554869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8365877, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11644127, s2 = 11123626, int(edited[s2]) = 0 s1 = 11644127, s2 = 11123626, d1 = 155, d2 = 113 Dl.O(d1) = 275083977 Dl.O(d2) = 254849325 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11644127, s2 = 11123626, dlinesl.size( ) = 100 s1 = 11416867, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11109235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11095145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11095145, s2 = 11074382, int(edited[s2]) = 0 s1 = 11095145, s2 = 11074382, d1 = 4, d2 = 47 Dl.O(d1) = 40474489 Dl.O(d2) = 258306647,269127676,17984048,12745595,8661679,5634536,3501634,2081340,1196735,1196737,1197236,674159,674161,1197237,2082374,2081801,1196983,1196980,2081833,3502408,5635691,6887211,4323780,2586828,1491222,1491218,2586805,254491131,10447071,15147690,19352287,255281032,30001586,30001585,31635191,31635192,31635532,40323283,256663386,262365713,102329026,102329027,91727640,77799888,64617361,269394558,258859295,77796639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11095145, s2 = 11074382, dlinesl.size( ) = 34 s1 = 14347016, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11048135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11464453, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464453, s2 = 7489714, int(edited[s2]) = 0 s1 = 11464453, s2 = 7489714, d1 = 60, d2 = 67 Dl.O(d1) = 264710229,218642976,221522489 Dl.O(d2) = 243541061,243256517,267161110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464453, s2 = 7489714, dlinesl.size( ) = 20 s1 = 11645073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11645073, s2 = 7532336, int(edited[s2]) = 0 s1 = 11645073, s2 = 7532336, d1 = 95, d2 = 77 Dl.O(d1) = 247832509,275092095,267695400,275088844,247586202,267675042,247530857,247549286,267676971,247605840 Dl.O(d2) = 267554287,246583386,275048119,245444940,274993060,267315374,267265834 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11645073, s2 = 7532336, dlinesl.size( ) = 40 s1 = 13016300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11418151, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418151, s2 = 11410168, int(edited[s2]) = 0 s1 = 11418151, s2 = 11410168, d1 = 39, d2 = 42 Dl.O(d1) = 273858149 Dl.O(d2) = 263725386,175304969,164538262,152697505,260879604,84867144,257798770,47171870,37265784,28733538,21476061,15473461,10699922 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418151, s2 = 11410168, dlinesl.size( ) = 18 s1 = 13016590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15325441, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13016672, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13016672, s2 = 11036458, int(edited[s2]) = 0 s1 = 13016672, s2 = 11036458, d1 = 25, d2 = 0 Dl.O(d1) = 222016920,219203216,215869525,211838984,206905014,273852590,193852715,185594916,176132714,176132715,185594919,193852720,200932287,206905017,211838985,264965548,264731906,211838982,264731906 Dl.O(d2) = 294944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13016672, s2 = 11036458, dlinesl.size( ) = 16 s1 = 12993633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13016724, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15279483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15327741, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15327741, s2 = 15279484, int(edited[s2]) = 0 s1 = 15327741, s2 = 15279484, d1 = 10, d2 = 4 Dl.O(d1) = 126804012,259942557,85036095,71464224,58734529,47346780,37439722,37439721,31431221,31431220,256528857,50131241,61611804,74389076,87992729,101967209,116013887,129913725 Dl.O(d2) = 163358522,256290012,268200370,97721805,83863119,70337928,57647480,46302727,37021854,28524014,28524013,37021852,46899751,46302732,36449825,27991343,27991342,36449823,46302729,57647481,57647482,70337929,57968953,57968954,57968959,46592653,36705759,36705758,46592651,57968957,57968952,256290014,257407810,258017952,259269164,260490156,174670896,184293903,192713419,199954118,206072353,211129952,215266133,218677145,218677144,221551757,224018314,226156512,228017709,229651024,231100644 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15327741, s2 = 15279484, dlinesl.size( ) = 2 s1 = 15327741, s2 = 15279484, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15327741, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 15315006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13017074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15322647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11599947, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11599947, s2 = 14112701, int(edited[s2]) = 0 s1 = 11599947, s2 = 14112701, d1 = 87, d2 = 68 Dl.O(d1) = 267020247,266970352,240219511,239676237,266812994 Dl.O(d2) = 265250748,220164119,264570820,208485570,202808334,263250928,168807737 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14353484, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14353484, s2 = 9676257, int(edited[s2]) = 0 s1 = 14353484, s2 = 9676257, d1 = 6, d2 = 6 Dl.O(d1) = 172867035,161709253,149418199,149418198,261626446,115769575,101724423,259274204,61366993,49886262,39864154,31181811,23692167,255165111,8263281,8263280,12237480,17369682,23692164,23692185,23692184,17369699,12237489,12237488,12237482,8263282,8263283,12237485,17369691,23692180,31181824,39864165,49886276,258246957,87751739,101724435,271856213,105302744,91088788,258311434,64041686,77178093,91088791,105302750,117224254,105302748,105302749,107657215,93254354,93254355,79139174,65784848,65784847,79139172,65784850,53728632,53728633,47108421,47108422,58486440,71208099,84777008,71208094,58486438,47108420,269314491,71208096,84777013,259927943,112701056,258812292,257000944,58399817,47108409,256105652,28687295,21437210,15442454,15442455,21388520,28626634,37139761,28687298,28687299,37211685,37211678,37211677,47108403,37211674,28687293,28687288,21437197,21437196,28687287,37211667,47108396,47108406,37211676,37211675,47108405,47108413,37211680,28687296,28687297,37211681,47108414,48096135,59485175,58486418,58486417,59485172,59485171,72221176,59484460,59484459,59485174,48096134,38184437,29617161,22265823,16124605,11200845,7432034,7432033,11200840,255460339,22265248,16124215,11200598,11200599,16124216,22265249,29616424,38183609,48095266,59484458,70697036,84248895,70697038,57979137,46601999,46602001,57979141,70697040,65784851,65784852,65784833,53728621,43216708,34128944,26262554,19542749,19542748,26262553,19542750,13993523,9613242,6314311,6314312,254954017,19542756,26262564,26262547,19542745,13993520,13993521,19542747,26262550,34128941,43216699,257854937,53728625,65784839,79139155,79139163,79139154,79139151,79139150,93254330,93254339,93254338,107657198,122031955,135959560,149183569,149183571,161469377,164368964,164368963,262168142,152503711,139785181,126411155,112541291,112541290,121784052,107399297,92988936,78877405,65542366,65542365,65542363,65542364,78877404,92988933,92988932,107399293,121784049,126352301,126352302,126352304,112484589,98492609,84569262,71004989,257433071,269335662,21322228,15351060,10604745,10604746,15351062,21322232,28546166,37045761,257433079,58289636,71005009,84569290,98492628,84569286,84569287,98492631,112484608,112484606,98492634,98492633,112484609,112484610,126352318,139728381,139728379,139728380,152453932,164326870,175124767,184705181,193070221,193070230,193070215,184705178,184705179,193070216,200248682,197902080,197902081,204361994,204361993,197902072,190322167,181543759,181543758,190322160,190322161,197902069,204361987,209750951,214170301,212149246,212149244,216131672,265009457,216131674,219430845 Dl.O(d2) = 172867035,161709253,149418199,149418198,261626446,115769575,101724423,259274204,61366993,49886262,39864154,31181811,23692167,255165111,8263281,8263280,12237480,17369682,23692164,23692185,23692184,17369699,12237489,12237488,12237482,8263282,8263283,12237485,17369691,23692180,31181824,39864165,49886276,258246957,87751739,101724435,271856213,105302744,91088788,258311434,64041686,77178093,91088791,105302750,117224254,105302748,105302749,107657215,93254354,93254355,79139174,65784848,65784847,79139172,65784850,53728632,53728633,47108421,47108422,58486440,71208099,84777008,71208094,58486438,47108420,269314491,71208096,84777013,259927943,112701056,258812292,257000944,58399817,47108409,256105652,28687295,21437210,15442454,15442455,21388520,28626634,37139761,28687298,28687299,37211685,37211678,37211677,47108403,37211674,28687293,28687288,21437197,21437196,28687287,37211667,47108396,47108406,37211676,37211675,47108405,47108413,37211680,28687296,28687297,37211681,47108414,48096135,59485175,58486418,58486417,59485172,59485171,72221176,59484460,59484459,59485174,48096134,38184437,29617161,22265823,16124605,11200845,7432034,7432033,11200840,255460339,22265248,16124215,11200598,11200599,16124216,22265249,29616424,38183609,48095266,59484458,70697036,84248895,70697038,57979137,46601999,46602001,57979141,70697040,65784851,65784852,65784833,53728621,43216708,34128944,26262554,19542749,19542748,26262553,19542750,13993523,9613242,6314311,6314312,254954017,19542756,26262564,26262547,19542745,13993520,13993521,19542747,26262550,34128941,43216699,257854937,53728625,65784839,79139155,79139163,79139154,79139151,79139150,93254330,93254339,93254338,107657198,122031955,135959560,149183569,149183571,161469377,164368964,164368963,262168142,152503711,139785181,126411155,112541291,112541290,121784052,107399297,92988936,78877405,65542366,65542365,65542363,65542364,78877404,92988933,92988932,107399293,121784049,126352301,126352302,126352304,112484589,98492609,84569262,71004989,257433071,269335662,21322228,15351060,10604745,10604746,15351062,21322232,28546166,37045761,257433079,58289636,71005009,84569290,98492628,84569286,84569287,98492631,112484608,112484606,98492634,98492633,112484609,112484610,126352318,139728381,139728379,139728380,152453932,164326870,175124767,184705181,193070221,193070230,193070215,184705178,184705179,193070216,200248682,197902080,197902081,204361994,204361993,197902072,190322167,181543759,181543758,190322160,190322161,197902069,204361987,209750951,214170301,212149246,212149244,216131672,265009457,216131674,219430845 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14353484, s2 = 9676257, dlinesl.size( ) = 2 s1 = 14353484, s2 = 9676257, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14353484, Dl.E( ) = 8, 5.96e-06 seconds used appending s1 = 14353524, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10277207, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11372711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11372711, s2 = 11537784, int(edited[s2]) = 0 s1 = 11372711, s2 = 11537784, d1 = 88, d2 = 145 Dl.O(d1) = 261639516,183382886 Dl.O(d2) = 259796529,123736949,137464373,272781995,162622827,263441373,191996105,183438164,183438163,263806857,264134919,210737890,214945850,218407459,221315708,221315705,221315706,218407458,218407459,221315708,221315703,221315704,265337525,221315702,264928056,214945859,210737897,205586223,199357988,191996105,183438164,183438163,263806857,264134919,210737890,214945849,218407455,218407456,218407457,221315706,221315707,221315708,223806781,221315718,218407467,264928050,265142884,265337526,223806788,223806789,221315718,218407467,264928050,218407465,218407466,221315716,223806788,264928054,214945858,210737897,210737896,214945857,264928050,218407465,218407466,221315717,265337528,223947045,221471791,218582912,215150876,210983602,205884312,199718819,263463621,174301705,272816037,273321924,70423206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11372711, s2 = 11537784, dlinesl.size( ) = 46 s1 = 11659095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11659095, s2 = 11649616, int(edited[s2]) = 0 s1 = 11659095, s2 = 11649616, d1 = 40, d2 = 4 Dl.O(d1) = 219297957,215980901,211975547,207073331,201132615,194081864,185852762,185852761,194081863,201132613,207073329,264286768,201132435,207073107,274211412,222099304,264913216,264565894,201132490,201132492,194081810,185852732,176415898,165753842,165753844,176415901,185852736,194081816,262558520,172638883,161462548,149176314,135952384,122024831,107650315,107650313,259759526,149176308,261533376,262558516,198719517,205050360,205050307,198719479,191246341,182565521,172638865,161462523,149176296,135952368,135952367,149176292,161462517,262065376,178277212,167839542,156250338,143723553,130397590,271329658,256922408,5600949,5600948,8616393,5687717,3538246,2106207,1212936,1212938,2106215,2106223,2106222,3538274,5687756,8736562,12847333,18118096,18117374,18117375,18120833,18120832,24559234,32136894,40914204,32136754,24555279,24555278,24555701,25245506,25245504,32967489,40918482,40915423,32137759,24556195,18118577,12847635,8736721,5687831,5687835,8736740,11110963,16004491,22117594,24559398,24559401,32139293,32139291,40916707,51055779,51055778,50010400,39992496,39992497,39376858,30775396,30775395,37522363,30760349,30760347,39361254,32962870,25241374,25241375,32962878,40917517,37586048,29038522,21746273,15694622,15694620,21746269,29038514,256894301,58871705,71593778,85160342,99083564,113072130,119705903,260857317,105466325,91243618,91243619,105466328,260857319,146838433,133580688,133580687,119705902,105466350,91243633,91243632 Dl.O(d2) = 105466346,91243631,77323438,64174963,64174964,77323441,259644817,113072128,113072129,126926177,133580680,119705892,119705893,119705888,271026819,91243619,105466329,119705890,133580679,126926179,113072131,99083565,99083564,105466333,260261441,119705892,119705893,119705888,271026819,91243619,105466328,260857319,146838433,133580688,133580687,119705902,105466350,91243633,258390609,41982526,33038861,33038862,41982528,52323220,64174965,77323443,91243639,85160341,85160340,99083561,113072126,126926175,133580694,119705908,105466355,260261451,126926180,260857323,105466335,105466334,119705897,133580684,146838435,260857331,105466351,105466352,119705898,133580686,133580674,133580675,260857333,105466355,260261451,126926180,260857323,105466335,91243623,91243622,260261441,119705892,119705893,133580676,119705908,105466355,91243636,91243635,105466353,119705901,105466343,91243626,258390605 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 1 s1 = 15317242, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15317242, s2 = 15993383, int(edited[s2]) = 0 s1 = 15317242, s2 = 15993383, d1 = 37, d2 = 47 Dl.O(d1) = 12752612,8667528,8667526,12752622,13469785,12965921,8824981,7032742,7032741,10650898,15408982,18160189,13628808,9332379,9332378,13628804,18163820,14467338,9953660,6541768,4098474,4098475,6541770 Dl.O(d2) = 91222162,77302061,257079292,41961127,33018416,28620889,21383904,21383902,22100902,29433029,37995496,47911539,40264898,40264899,44548896,35171213,27082842,27082843,35171214,44548897,55395722,67734986,81199830,95255853,109510011,260998331,150469157,162594803,263033685,183414329,191974601,199338191,196713927,188949393,179987750,169804829,158437630,146070907,260836152,119032212,259623238,90679963,101945654,258888683,61595222,50115537 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15317242, s2 = 15993383, dlinesl.size( ) = 30 s1 = 11415077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11415077, s2 = 15286494, int(edited[s2]) = 0 s1 = 11415077, s2 = 15286494, d1 = 14, d2 = 12 Dl.O(d1) = 174429050,163588417,151709465,151709466 Dl.O(d2) = 174429052,174429051,163588417,151709465,151709466,163588419,174429055,184082398,263740362,151709465,139005282,125666566,125666567,139005286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11415077, s2 = 15286494, dlinesl.size( ) = 2 s1 = 11415077, s2 = 15286494, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11415077, Dl.E( ) = 16, 5.96e-06 seconds used appending s1 = 15516643, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13018788, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13018994, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14353832, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14353832, s2 = 6571594, int(edited[s2]) = 0 s1 = 14353832, s2 = 6571594, d1 = 0, d2 = 31 Dl.O(d1) = 3419338 Dl.O(d2) = 256093904 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14353832, s2 = 6571594, dlinesl.size( ) = 22 s1 = 11265961, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11265961, s2 = 6565909, int(edited[s2]) = 0 s1 = 11265961, s2 = 6565909, d1 = 30, d2 = 54 Dl.O(d1) = 105393387 Dl.O(d2) = 7381886,4663642,2809648,254350343,3361596,254602935,255188767,256029493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11265961, s2 = 6565909, dlinesl.size( ) = 2 s1 = 11265961, s2 = 6565909, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11265961, Dl.E( ) = 60, 1.88e-05 seconds used appending s1 = 13019440, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14064989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14000813, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15505019, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11815065, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11815065, s2 = 1774490, int(edited[s2]) = 0 s1 = 11815065, s2 = 1774490, d1 = 3, d2 = 33 Dl.O(d1) = 78868868,78868869,65532797,53507169,43027476,41976012,254953686,30772900,23349471,17082250,11994687,8046407,5136471,5136473,8046415,9779938,9779934,8508922,6429796,4033835,4033833,4036681,4036682,6008407,6008408,6435075,4036790,4036789,4037209,4037985,6437140,6431011,6431009,9781395,13907184,9544569,9544568,13906952,13906951,13332742,13111923,13111924,14236315,14236314,14243429,9791384,9791382,14243422,14400390,254639898,255244462,14243437,9791392,9791393,14243439,19879351,19870877,19870878,19880543,19880542,19881460,19881459,19883110,14246316,9793276,6438119,4038532,2419933,2419934,4038535,6438128,9110017,13333062,14245221,17879993,17879992,14244737,9792226,9792227,14227031,9780385,6430405,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910 Dl.O(d2) = 112328302,98345304,84435738,70878412,70878413,84435736,70878411,58164413,46797103,36919316,28421327,21198711,255021477,10509114,15234210,21198714,28421329,36919319,46797106,58164415,70878414,84435741,259903543,112328305,126188772,263084065,192980305,200172855,264458573,215370640,218761184,265359029,226214657,228070960,229699778,274582684,229699777,229699779,231145003,232440679,266186812,232440683,233612216,233612232,233612233,266579145,234677854,233612230,232440681,265946462,265973147,266186812,232440683,233612216,233612232,233612234,266292894,232440673,232440674,233612225,233612207,233612206,232440657,266209463,234677837,234677838,235649947,235649954,234677852,234677853,234677831,233612201,232440649,231144978,229699763,228070950,228070951,229699765,265973145,232440663,233612214,233612218,234677844,233612221 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11815065, s2 = 1774490, dlinesl.size( ) = 30 s1 = 15323107, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12263713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10402780, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10466534, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13020082, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15325946, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15316060, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15316060, s2 = 14371241, int(edited[s2]) = 0 s1 = 15316060, s2 = 14371241, d1 = 0, d2 = 0 Dl.O(d1) = 195042210,186957191,177676696,167601451,155990644,155990643,167601449,178065414,178065415,260563472,271791616,167178081,155546029,142997100,142997101,155546025,167178077,177676692,177676699,167178088,259963162,177676700,167178090,155546036,142997107,129669275,115772511,115772510,129669273,142997104,155546032,258095262,115772512,101727393,87754869,74150670,61370366,49889752,49889751,61370364,74150667,87754861,74150664,74150665,87754863,101727383,101727390,115772504,129669263,258095260,129669259,129669260,129669264,115772500,101727386,256905166,128601730,114704952,114704953,128601732,141962598,141962602,128601734,128601733,141962600,151503972,138804314,128601735,125477034,111676126,97757766,97757767,111676127,259740912,86686868,259740910,269577670,48946046,48946047,60342907,73082688,86686867,100659551,100659554,114704964,128601742,141962603,141962604,272406645,106841205,92529604,78489584,78489585,92529607,271584453,106841218,92529618,78489596,65204846,53218932,42769186,33739239,257236721,65204839,78489586,92529609,92529614,92529615,106024358,120225910,120225909,120225912,134060759,135949351,126165602,115214341,101137179,101137180,115214343,126165601,112304986,98322253,84412694,84412695,98322254,257864058,98322251,112304982,126165600,112304983,270801547,58140870,58140871,70855191,84412697,98322257,112304989,257523516,71415039,58681202,58681201,71415037,84989022,98322256,98914484,98914485,93244576,79128841,79128838,257853875,43203764,34116655,34116656,43203765,53716111,65773519,79128843,259731611,79128858,65773541,257259709,34116679,256699883,53716132,64571845,65773538,53716128,53716129,65773540,53716140,53716141,53716122,43203774,256180571,19534315,13986916,13986915,19534313,26252067,34116654,34116676,268787115,43203760,34116651,26252065,26252064,34116649,34116666,34116665,26252072,26252071,34116662,43203776,43203796,43203797,49769284,43208479,34121225,26256035,26256034,34121223,43208477,34121220,34121219,43208475,53720360,255549418,39750809,31073190,31073189,255161360,61248139,74028198,65773552,65773551,65773548,53716143,43203801,43203802,53716146,52359953,269496443,77357862,91277799,104437086,105499954,105499953,104470344,258218774,64210103,64210104,77357868,84030385,84030387,74161159,61380646,49900054,49900053,61380644,74161156,87765555,84030390,70495418,57794495,46439177,46439178,258632737,97900300,95568862,81538118,76456460,76456459,259246878,74161160,62022849,50530729,50530730,62022850,51669621,51669622,63412826,61380638,61380639,61380649,61380652,49900063,257639303,44746624,35320854,27197407,27197406,35320852,44746622,255667282,31197298,31197297,39878585,49900066,55654592,55654591,44746609,35320840,27197400,27197399,35320838,39878581,39878582 Dl.O(d2) = 195042210,186957191,177676696,167601451,155990644,155990643,167601449,178065414,178065415,260563472,271791616,167178081,155546029,142997100,142997101,155546025,167178077,177676692,177676699,167178088,259963162,177676700,167178090,155546036,142997107,129669275,115772511,115772510,129669273,142997104,155546032,258095262,115772512,101727393,87754869,74150670,61370366,49889752,49889751,61370364,74150667,87754861,74150664,74150665,87754863,101727383,101727390,115772504,129669263,258095260,129669259,129669260,129669264,115772500,101727386,256905166,128601730,114704952,114704953,128601732,141962598,141962602,128601734,128601733,141962600,151503972,138804314,128601735,125477034,111676126,97757766,97757767,111676127,259740912,86686868,259740910,269577670,48946046,48946047,60342907,73082688,86686867,100659551,100659554,114704964,128601742,141962603,141962604,272406645,106841205,92529604,78489584,78489585,92529607,271584453,106841218,92529618,78489596,65204846,53218932,42769186,33739239,257236721,65204839,78489586,92529609,92529614,92529615,106024358,120225910,120225909,120225912,134060759,135949351,126165602,115214341,101137179,101137180,115214343,126165601,112304986,98322253,84412694,84412695,98322254,257864058,98322251,112304982,126165600,112304983,270801547,58140870,58140871,70855191,84412697,98322257,112304989,257523516,71415039,58681202,58681201,71415037,84989022,98322256,98914484,98914485,93244576,79128841,79128838,257853875,43203764,34116655,34116656,43203765,53716111,65773519,79128843,259731611,79128858,65773541,257259709,34116679,256699883,53716132,64571845,65773538,53716128,53716129,65773540,53716140,53716141,53716122,43203774,256180571,19534315,13986916,13986915,19534313,26252067,34116654,34116676,268787115,43203760,34116651,26252065,26252064,34116649,34116666,34116665,26252072,26252071,34116662,43203776,43203796,43203797,49769284,43208479,34121225,26256035,26256034,34121223,43208477,34121220,34121219,43208475,53720360,255549418,39750809,31073190,31073189,255161360,61248139,74028198,65773552,65773551,65773548,53716143,43203801,43203802,53716146,52359953,269496443,77357862,91277799,104437086,105499954,105499953,104470344,258218774,64210103,64210104,77357868,84030385,84030387,74161159,61380646,49900054,49900053,61380644,74161156,87765555,84030390,70495418,57794495,46439177,46439178,258632737,97900300,95568862,81538118,76456460,76456459,259246878,74161160,62022849,50530729,50530730,62022850,51669621,51669622,63412826,61380638,61380639,61380649,61380652,49900063,257639303,44746624,35320854,27197407,27197406,35320852,44746622,255667282,31197298,31197297,39878585,49900066,55654592,55654591,44746609,35320840,27197400,27197399,35320838,39878581,39878582 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15316060, s2 = 14371241, dlinesl.size( ) = 2 s1 = 15316060, s2 = 14371241, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15316060, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 13020864, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13020864, s2 = 6988922, int(edited[s2]) = 0 s1 = 13020864, s2 = 6988922, d1 = 6, d2 = 64 Dl.O(d1) = 145083061 Dl.O(d2) = 151563021,262613639,163446151,151563019,261051161,111718963 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 13020966, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13020966, s2 = 11478874, int(edited[s2]) = 0 s1 = 13020966, s2 = 11478874, d1 = 1, d2 = 3 Dl.O(d1) = 126417162 Dl.O(d2) = 215428517 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13020966, s2 = 11478874, dlinesl.size( ) = 28 s1 = 14055023, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14055023, s2 = 11648318, int(edited[s2]) = 0 s1 = 14055023, s2 = 11648318, d1 = 201, d2 = 163 Dl.O(d1) = 255226786,13857243,9505993,6234835,5618766,3869412,2317620,1343909,1343906,1344219,1344216,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1344237,1344235,1300072,1300070,1370021,2341571,2341573,2366895,1370245,780052,780055,442365,442367,780120,1344572,2319433,3873314,5626958,8651120,9151742,5989167,5989166,9151738,9649708,9649709,9650463,9650464,9650276,9650277,6345242,254675737,13757906,19253761,19253762,25915873,19590346,14036085,14036082,13757901,13757900,19253771,25883786,25883785,25944780,19281308,13783292,9450132,9450131,9649658,9649657,14035255 Dl.O(d2) = 261221848,272553711,263142707,185504483,176033350,165341159,261221848,260046062,258182016,268651990,22160817,255947442,30668600,23253113,23253112,30668597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14055023, s2 = 11648318, dlinesl.size( ) = 54 s1 = 14354218, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14354236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14354236, s2 = 15296476, int(edited[s2]) = 0 s1 = 14354236, s2 = 15296476, d1 = 32, d2 = 60 Dl.O(d1) = 215690566 Dl.O(d2) = 240458954,274828939,238754131,238084617,237348589 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14354236, s2 = 15296476, dlinesl.size( ) = 44 s1 = 11620503, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13021772, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13021772, s2 = 5808429, int(edited[s2]) = 0 s1 = 13021772, s2 = 5808429, d1 = 100, d2 = 95 Dl.O(d1) = 266886927,266985311,241293342,274898369,242474014,267178469,243418429 Dl.O(d2) = 234847125,233795946,232640648,232636788,265861312 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13021772, s2 = 5808429, dlinesl.size( ) = 52 s1 = 13000248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11364859, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11364859, s2 = 5149447, int(edited[s2]) = 0 s1 = 11364859, s2 = 5149447, d1 = 58, d2 = 3 Dl.O(d1) = 262381279,263999935,208177306 Dl.O(d2) = 213997931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11364859, s2 = 5149447, dlinesl.size( ) = 50 s1 = 13000463, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13000491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16366803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16366803, s2 = 11330092, int(edited[s2]) = 0 s1 = 16366803, s2 = 11330092, d1 = 2, d2 = 16 Dl.O(d1) = 105938562 Dl.O(d2) = 260952878 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16366803, s2 = 11330092, dlinesl.size( ) = 26 s1 = 11580211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580211, s2 = 13400042, int(edited[s2]) = 0 s1 = 11580211, s2 = 13400042, d1 = 33, d2 = 48 Dl.O(d1) = 266586867 Dl.O(d2) = 39119133,49048456,47059860,37168255,36930018,36930016,256060266,31076856,36943014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580211, s2 = 13400042, dlinesl.size( ) = 26 s1 = 11533969, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14340836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11636321, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11636321, s2 = 14150723, int(edited[s2]) = 0 s1 = 11636321, s2 = 14150723, d1 = 57, d2 = 3 Dl.O(d1) = 246285210 Dl.O(d2) = 231358799 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11636321, s2 = 14150723, dlinesl.size( ) = 66 s1 = 14346836, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346836, s2 = 7377908, int(edited[s2]) = 0 s1 = 14346836, s2 = 7377908, d1 = 97, d2 = 73 Dl.O(d1) = 258094047,85398820,260562541,261689167 Dl.O(d2) = 266022518 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346836, s2 = 7377908, dlinesl.size( ) = 68 s1 = 14121272, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14121272, s2 = 61039, int(edited[s2]) = 0 s1 = 14121272, s2 = 61039, d1 = 29, d2 = 11 Dl.O(d1) = 260990504 Dl.O(d2) = 1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1282839,1282841,1250106,1250110,1282889,1283526,1283525,1281686,1281685,1737224,2169440,3632143,254194840,5799261,3616906,3616905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14121272, s2 = 61039, dlinesl.size( ) = 26 s1 = 36950, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 36950, s2 = 14121271, int(edited[s2]) = 0 s1 = 36950, s2 = 14121271, d1 = 29, d2 = 32 Dl.O(d1) = 703598,703599,1195894,254194841,667726,370412,202799,110606,60713,60709,34351,34347,35498,35494,64465,64463,64465,64463,64465,64463,64465,64463,64465 Dl.O(d2) = 64472,64468,64129,64131,69087,127566,231699,411199,724112,1268289,2186273,3655184,254638149,255241275,25059705,26988754,26988755,26988757,26988756,35072767,44447493,55291850,67629678,81095173,95152538,260990505 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 36950, s2 = 14121271, dlinesl.size( ) = 30 s1 = 14069882, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14069882, s2 = 14719992, int(edited[s2]) = 0 s1 = 14069882, s2 = 14719992, d1 = 34, d2 = 65 Dl.O(d1) = 51288095 Dl.O(d2) = 147215915,159574511,170901757,181019270,189895655,197549427,264636361,209504251,204066722,204066720,209504248,213965592,217627529,220683046,264887040,213965602,209504254,204066724,197549429,189895656,189895657,197549430,204066725,209504256,213965607,264374352,209504252,213965596,217627535,217627538,217627537,220683057,265106626,265106620,220683045,220683046,264887040,264644156,217732373,217732375,264374350,204066722,204066720,209504246,264374348,264074900,197549432,197549430,204066725,209504256,213965607,217627539,217627531,217627530,220683048,265106622,223282180,220683043,220683044,274150752,217627526,213965590,264374348,264074900,197549432,197549430,204066725,209504256,213965607,217627539,217627531,217627530,220683049,220683053,220771417,217732380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14069882, s2 = 14719992, dlinesl.size( ) = 34 s1 = 13965880, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13965880, s2 = 7690772, int(edited[s2]) = 0 s1 = 13965880, s2 = 7690772, d1 = 129, d2 = 141 Dl.O(d1) = 87731816,271855719,258779680 Dl.O(d2) = 259726513,121916697,272704390,28251878,24510550,18081284,12818955,12818956,12820067,12820064,18083026,24511511,24511510,27969496,36428163 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13965880, s2 = 7690772, dlinesl.size( ) = 46 s1 = 14277296, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12864376, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14283028, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14283028, s2 = 14054865, int(edited[s2]) = 0 s1 = 14283028, s2 = 14054865, d1 = 23, d2 = 25 Dl.O(d1) = 8777671,5716844,3558883,2120444,254142457 Dl.O(d2) = 64479,64481,64141,64145,65957,65958,121190,220582,395358,395206,395207,702270,702269,254199181,3595163,5771371,8855015 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14283028, s2 = 14054865, dlinesl.size( ) = 2 s1 = 14283028, s2 = 14054865, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14283028, Dl.E( ) = 26, 1e-05 seconds used appending s1 = 14332540, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13001329, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12947255, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13025306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12688915, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13040326, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13040326, s2 = 1369050, int(edited[s2]) = 0 s1 = 13040326, s2 = 1369050, d1 = 15, d2 = 2 Dl.O(d1) = 63231969 Dl.O(d2) = 34675832 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13040326, s2 = 1369050, dlinesl.size( ) = 2 s1 = 13040326, s2 = 1369050, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13040326, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 11439217, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439217, s2 = 6870270, int(edited[s2]) = 0 s1 = 11439217, s2 = 6870270, d1 = 69, d2 = 59 Dl.O(d1) = 186400452,177043155,259780338 Dl.O(d2) = 259461295 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439217, s2 = 6870270, dlinesl.size( ) = 14 s1 = 11047093, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14354671, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11002211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11002211, s2 = 11257070, int(edited[s2]) = 0 s1 = 11002211, s2 = 11257070, d1 = 15, d2 = 27 Dl.O(d1) = 254966841 Dl.O(d2) = 58296833,258668151 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11002211, s2 = 11257070, dlinesl.size( ) = 18 s1 = 11565573, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11192627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11192627, s2 = 7162034, int(edited[s2]) = 0 s1 = 11192627, s2 = 7162034, d1 = 30, d2 = 20 Dl.O(d1) = 259573393,117520309 Dl.O(d2) = 263430668 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11192627, s2 = 7162034, dlinesl.size( ) = 8 s1 = 11628713, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11545853, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13025460, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13025492, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13025492, s2 = 8079455, int(edited[s2]) = 0 s1 = 13025492, s2 = 8079455, d1 = 43, d2 = 95 Dl.O(d1) = 72311778,74553683,258902483,61770082,50290330 Dl.O(d2) = 256425075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 3 Dl.To( xright[d2] ).size( ) = 1 s1 = 16261320, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16261320, s2 = 16385010, int(edited[s2]) = 0 s1 = 16261320, s2 = 16385010, d1 = 0, d2 = 86 Dl.O(d1) = 201076854,207026296,211935356,215946039,219266937,222072085,224481682,226575370,228399232,230001119 Dl.O(d2) = 247404415,247380069,247354693,247327665,247298309,247266542,247232659,247197454,247197455,247160628,247120677,267611724,247027531,247027529,247027530,247076424,247076422,267611722,246974731,267586482,246797976,246734438,267555872,246596959,267537334,246357255,246267865,246267866,267504702,246072940,245967354,267450286,245607593,245470316,245470315,245324159,245168763,245003022,244826545,244639120,244437814,244221838,243989062,243738986,243469157,243179381,242870466,242538251,242181206,241795581,241377525,240926519,240439297,239914295,239346403,238729266,238057259,237317894,236505864,235615920,234639352,233568049,232390080,231087253,229634696,227999417,226137421,265352884,274334970,223998072,221529071,218648631,264159312,205991509,199844395,192572368,262139522,163636253,151761174,139059354,259265694,97966390,84092954,70556582,57855114,256286744,36632128,28157767,20978460,20978461,28157768,36632130,46499077,57855118,70556586 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16261320, s2 = 16385010, dlinesl.size( ) = 2 s1 = 16261320, s2 = 16385010, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16261320, Dl.E( ) = 88, 3.89e-05 seconds used appending s1 = 16370876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16370876, s2 = 11610176, int(edited[s2]) = 0 s1 = 16370876, s2 = 11610176, d1 = 11, d2 = 7 Dl.O(d1) = 239659205,240203267 Dl.O(d2) = 242003633 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16370876, s2 = 11610176, dlinesl.size( ) = 2 s1 = 16370876, s2 = 11610176, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16370876, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11610175, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11627447, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627447, s2 = 14157520, int(edited[s2]) = 0 s1 = 11627447, s2 = 14157520, d1 = 120, d2 = 101 Dl.O(d1) = 267260246,267310718 Dl.O(d2) = 247890149,247884815,275094525,267704924,247910809,247913917 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627447, s2 = 14157520, dlinesl.size( ) = 68 s1 = 11189927, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11189927, s2 = 9242755, int(edited[s2]) = 0 s1 = 11189927, s2 = 9242755, d1 = 41, d2 = 30 Dl.O(d1) = 61647787,50163724,40140283,40140282 Dl.O(d2) = 264783699 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11189927, s2 = 9242755, dlinesl.size( ) = 2 s1 = 11189927, s2 = 9242755, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11189927, Dl.E( ) = 56, 2.29e-05 seconds used appending s1 = 13040558, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11002983, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16376235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11344645, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16376673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16376673, s2 = 8279882, int(edited[s2]) = 0 s1 = 16376673, s2 = 8279882, d1 = 6, d2 = 5 Dl.O(d1) = 257302593,44364750,44364751,34986867,255321812,14341289,20023160,26906494 Dl.O(d2) = 37920683,37920684,47841278,269773037,46722984,58095073,268911791,28343370,36840161,36840166,36840165,46722985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16376673, s2 = 8279882, dlinesl.size( ) = 2 s1 = 16376673, s2 = 8279882, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16376673, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 13027006, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13004569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13004579, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13004579, s2 = 10780913, int(edited[s2]) = 0 s1 = 13004579, s2 = 10780913, d1 = 1, d2 = 1 Dl.O(d1) = 946915,533946,533947,946920,1664408,2867761,4757893,4757907,2867717,2867716,4757903,3153217,3098245,1810221,1033887,582611,325710,179860,98901,54675,54676,98905,179867,325736,582665,1033996,1051330,591309,561899,314641,314636,561873,590138,1048999,1838164,1845852,1054641,1054639,1848004,1809173,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,8057303,5158920,5158923,5168982,4680100,2819692,1635837,1635834,1809598,3097092,1834387,1834383,1821757,1039969,1039972,1039164,585309,585314,585322,326984,326981,585335,1039340,1034602,1034599,1811617,3100668,3123756,1825881,1042231,1042230,1825876,1844078,3103811,1813572,1035623,1035626,1813582,3103837,5111441,5173275,5173274,5136579,3123370,2870605,1665990,1665993,1821451,1832968,1832969,3133277,1831788,1831787,3114665,1821039,1821038,3116063,3102178,3102180,1821400,1039801,585544,585546,587177,587175,1042935,1827189,3125773,1867896,1867898,3115171,3115169,3122491,3108797,1818333,1818335,3111665,3118525,5130255,8039912,5176255,254572605,11686238,7793075,4941242,4941243,7793076,11686239,11985704,11985703,11688842,11688843,16731452,12021123,8080799,8080800,12021124,17107069,22965799,16729720,11687160,7793775,4941681,4941682,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405074,2429007,4058251,6476064 Dl.O(d2) = 946915,533946,533947,946920,1664408,2867761,4757893,4757907,2867717,2867716,4757903,3153217,3098245,1810221,1033887,582611,325710,179860,98901,54675,54676,98905,179867,325736,582665,1033996,1051330,591309,561899,314641,314636,561873,590138,1048999,1838164,1845852,1054641,1054639,1848004,1809173,1809171,3096371,5101140,5175980,4757565,3159284,3159287,5178091,5162876,3145848,3145846,3156945,3156943,5159078,3149255,3149256,5167007,8065318,8057304,8057303,5158920,5158923,5168982,4680100,2819692,1635837,1635834,1809598,3097092,1834387,1834383,1821757,1039969,1039972,1039164,585309,585314,585322,326984,326981,585335,1039340,1034602,1034599,1811617,3100668,3123756,1825881,1042231,1042230,1825876,1844078,3103811,1813572,1035623,1035626,1813582,3103837,5111441,5173275,5173274,5136579,3123370,2870605,1665990,1665993,1821451,1832968,1832969,3133277,1831788,1831787,3114665,1821039,1821038,3116063,3102178,3102180,1821400,1039801,585544,585546,587177,587175,1042935,1827189,3125773,1867896,1867898,3115171,3115169,3122491,3108797,1818333,1818335,3111665,3118525,5130255,8039912,5176255,254572605,11686238,7793075,4941242,4941243,7793076,11686239,11985704,11985703,11688842,11688843,16731452,12021123,8080799,8080800,12021124,17107069,22965799,16729720,11687160,7793775,4941681,4941682,7793771,9858045,7787793,4937501,2981831,1730953,984021,553965,309979,309980,553948,983978,1730873,2981742,4941184,7792982,9063092,12010350,16714259,11680319,11680315,11685974,9858570,6475971,4058192,4058191,6475966,8048251,8048250,11996165,9858620,6476011,4058217,2428988,1405071,1405074,2429007,4058251,6476064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13004579, s2 = 10780913, dlinesl.size( ) = 2 s1 = 13004579, s2 = 10780913, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13004579, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 10780914, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14346454, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14346454, s2 = 14354997, int(edited[s2]) = 0 s1 = 14346454, s2 = 14354997, d1 = 16, d2 = 11 Dl.O(d1) = 39751711,42573960,33556986,33556987,37556142,30255759,28618698,22884111,22884112,27966578,20804137,20804138,16634030,16634029,22860266,22860156,22860155,28151140,20973053,20973056,28151144,30255201,33480995,25707479,19080534,13622340,9327915,9327913,13622335,13465744,13465745,18897321,22859702,22859722,22859720,21723308,15678433,10854254,7176173,4520508,2717124,2717121,4520519,7176190,10854285,10387348,6845753,6845751,4901725,2954294,2954297,4901741,7724279,7724278,11603270,16454562,22169485,16046002,16046005,13622355,13622354,19080569,22860131,16633845,11603113,11603114,15062587,15062588,20972988,16634007,11603210,7724248,4889213,2946298,1708717,971276,547018,547017,971271,1708707,2946281,4889163,7724156,9327846,6110186,6110184 Dl.O(d2) = 39901368,49920966,58376837,53902554,268919854,71092992,62685548,51054954,40913005,32135208,24553921,24553922,32135209,32311893,24698373,23278420,23278421,30693409,24553643,18116709,12846379,12846376,18116702,256067859,40912650,40912651,51054712,51054758,62685423,62685487,62685301,51054580,51054579,62685298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14346454, s2 = 14354997, dlinesl.size( ) = 2 s1 = 14346454, s2 = 14354997, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14346454, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 14354998, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14002867, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15324162, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12649121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11233559, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11233559, s2 = 11525004, int(edited[s2]) = 0 s1 = 11233559, s2 = 11525004, d1 = 65, d2 = 71 Dl.O(d1) = 93219804,260347163,261509559,262538307,182540296,191224510,198700977,205034749 Dl.O(d2) = 205034745,205034746,210282203,214570054,218094453,265498679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11233559, s2 = 11525004, dlinesl.size( ) = 58 s1 = 11537285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11537285, s2 = 3161829, int(edited[s2]) = 0 s1 = 11537285, s2 = 3161829, d1 = 73, d2 = 46 Dl.O(d1) = 225851499 Dl.O(d2) = 99634187 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11537285, s2 = 3161829, dlinesl.size( ) = 42 s1 = 14355074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11420909, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11420909, s2 = 995066, int(edited[s2]) = 0 s1 = 11420909, s2 = 995066, d1 = 56, d2 = 1 Dl.O(d1) = 262270384,141603858 Dl.O(d2) = 13285988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11420909, s2 = 995066, dlinesl.size( ) = 44 s1 = 11114717, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114717, s2 = 11337750, int(edited[s2]) = 0 s1 = 11114717, s2 = 11337750, d1 = 9, d2 = 19 Dl.O(d1) = 256380688 Dl.O(d2) = 260744571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114717, s2 = 11337750, dlinesl.size( ) = 22 s1 = 11184011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11093851, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093851, s2 = 13155923, int(edited[s2]) = 0 s1 = 11093851, s2 = 13155923, d1 = 170, d2 = 207 Dl.O(d1) = 255187034,32747352,254407294,13559745,267755782,25613802,31607984,24105620,17746937,12557171,12557170,17746944,24105636,254861530,50192650,41238807,254860052,51436760 Dl.O(d2) = 245179652,267363382,244653837,244454209 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093851, s2 = 13155923, dlinesl.size( ) = 2 s1 = 11093851, s2 = 13155923, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11093851, Dl.E( ) = 270, 6.29e-05 seconds used appending s1 = 13027760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11501363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11501363, s2 = 7177092, int(edited[s2]) = 0 s1 = 11501363, s2 = 7177092, d1 = 36, d2 = 21 Dl.O(d1) = 265151879,223924959,265641608,265522693,227939405 Dl.O(d2) = 263608531 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11501363, s2 = 7177092, dlinesl.size( ) = 12 s1 = 12557641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11183627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11351045, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11351045, s2 = 8316111, int(edited[s2]) = 0 s1 = 11351045, s2 = 8316111, d1 = 51, d2 = 45 Dl.O(d1) = 138907477,125573982,111765006 Dl.O(d2) = 50442807,50442806,61933451,74727084,88355269 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11351045, s2 = 8316111, dlinesl.size( ) = 34 s1 = 11629021, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11039225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11039225, s2 = 14340979, int(edited[s2]) = 0 s1 = 11039225, s2 = 14340979, d1 = 23, d2 = 22 Dl.O(d1) = 257857730,2313601,2313603,3862114,3862017,2313565,2313561 Dl.O(d2) = 3854766,3854764,6160591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11039225, s2 = 14340979, dlinesl.size( ) = 28 s1 = 13028714, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355288, s2 = 8501831, int(edited[s2]) = 0 s1 = 14355288, s2 = 8501831, d1 = 133, d2 = 179 Dl.O(d1) = 259670865 Dl.O(d2) = 166085300,262276562,128333701,260641048,72879648,269358395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355288, s2 = 8501831, dlinesl.size( ) = 86 s1 = 11630747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11630747, s2 = 7523117, int(edited[s2]) = 0 s1 = 11630747, s2 = 7523117, d1 = 178, d2 = 112 Dl.O(d1) = 267480787,245748673,267451788,267419680 Dl.O(d2) = 267469314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11630747, s2 = 7523117, dlinesl.size( ) = 102 s1 = 16308244, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11042259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11042259, s2 = 3486867, int(edited[s2]) = 0 s1 = 11042259, s2 = 3486867, d1 = 65, d2 = 2 Dl.O(d1) = 17540837,257072127,53539744,43060458,43060459,53456528,42982166,33928563,26095364,26095363,258458009 Dl.O(d2) = 115226384,259951408,58270872,46905641,39457005,30852831,256486919,256212940,40230364,44377521,34999162,26917754,20033221,14349894,9859572,9859574,8476270,254224688 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11042259, s2 = 3486867, dlinesl.size( ) = 56 s1 = 14355369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355374, s2 = 15891974, int(edited[s2]) = 0 s1 = 14355374, s2 = 15891974, d1 = 99, d2 = 132 Dl.O(d1) = 274299151,219509891 Dl.O(d2) = 48672838,38751208,256979973,38751167,257560859,48672831,38751199,30168050,22779014,255936753,268665902,25314182,33042058,41985977,52326628,64178006,64178007,64178008,60069192,48672843,38751210,268413937,16563713,11545930,255112273,22779016,30168054,38751206,48672837,41985979,33042060,25314184,18736950,254830160,5962899,5962898,9113559,11460834,14562064,10020415,6585973,4126270,2468367,2468366,4126265,6585963,10020398,14561998,14561999,19814674,14193396,9757165,6415622,6415623,6744863,6415732,6415731,5589158,5589157,5589218,5589222,8601192,12586132,8538492,5536545,5536546,8538495,11340227,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,10020295,10020351,6585937,6585936,10020348,14561957,15455558,10686266,10686265,8310147,8310148,12303563,17453194,20821255,20293614,19319657,13814669,9474086,6212069,6212070,9474090,6605351,4137670,4137669,6605347,10052320,6744756,6744757,10264407,14607778,17854545,17854544,24226276,22773799,267878932,27286339,20351331,254642712,35405574,269205737,29197526,268217023,10954626,7250423,4572062,4572061,2750378,2750376,4031829,2416224,2416229,4031801,4031799,4137140,4137139,6604309,6604304,4137138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355374, s2 = 15891974, dlinesl.size( ) = 8 s1 = 13179522, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13179522, s2 = 6890491, int(edited[s2]) = 0 s1 = 13179522, s2 = 6890491, d1 = 53, d2 = 41 Dl.O(d1) = 254082852,2346926,1362510 Dl.O(d2) = 259720420 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13179522, s2 = 6890491, dlinesl.size( ) = 32 s1 = 10146316, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10146316, s2 = 13287419, int(edited[s2]) = 0 s1 = 10146316, s2 = 13287419, d1 = 0, d2 = 2 Dl.O(d1) = 258365250 Dl.O(d2) = 1346457,1353182,2334653,254457215,9494303,268155907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10146316, s2 = 13287419, dlinesl.size( ) = 2 s1 = 10146316, s2 = 13287419, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10146316, Dl.E( ) = 6, 1.91e-05 seconds used appending s1 = 14088611, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15317354, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15317354, s2 = 7844664, int(edited[s2]) = 0 s1 = 15317354, s2 = 7844664, d1 = 31, d2 = 33 Dl.O(d1) = 255061376,20903817,268904217,71939151,59199777,47799923,37875919,37875920,47799924,47799929,37875928,37875929,47799926,59199781,256996208 Dl.O(d2) = 37875927,29306925,21979326,15884221,11010989,7289155,7289153,8081178,12021314,254804432,11374514,11374016,7556247,4778131,4778132,7556250,4778697,4778696,7557183,11304117,11374308,11374306,11374316,11374320,15926110,11049215,11049216,7324483,7324484,4628142,2787901,2787900,4628171,7327261,10751233,11370069,11370072,16341236,15545848,10751763,7103390,4472273,2686938,1556427,884862,884861,1556424,2686929,4472217,4472218,7103301,10751621,15545675,11011272,11011273,11381082,14242871,11381071,11374518,11374517,16345412,11373311,11373310,16345409,15928506,11051740,7327237,7327238,7560405,11369915,7553598,4776713,4776712,4779328,7102190,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915499,11037894,11037893,11379618,11379619,11367648,11367649,16307155,11379928,7560511,7560510,11379921,16353209,22526186,23635544,17319775,12194899,12194900,11377929,11377927,12194845,8225006,5295349,5295352,8168588,8168591,8168596,8168594,12138733,17258614,23569838,17296221,17296222,22522366,23567767,19652064,19652066,22031340,20126325,14434443,9929146,254181528,20126321,17295934,17295935,23608352,22272742,22272741,22499658,23650269,23650270,29880383,29880381,254181926,23632760,20127277,20127276,22524253,254393536,38416520,31141467,29873358,254264008,11370728,11370727,16342088,22493631,16320141,11354276,7544058,7544059,11354279,16320149,16304388,11344313,7542605,7542604,11351622,16235379,16319801,11354046,7543933,4771520,4771521,4859903,4859905,5179077,5179080,8083077,12022845,15978014,15978013,16316966,15329745,15329743,16736629,22489863,22263469,16122971,11199852,7542429,7542432,11351304,11345753,7539430,4769269,4769270,4769478,4769480,7104309,4646586,2798933,2798936,4646598,7355833,11091438,11344574,7538829,4769007,4769006,7538858,7540798,7540823,7540826,11348352,16310726,16004888,11111329,11111331,16004898,16357388,11383388,11383387,15547250,21569565,28840843,22019476,22019475,22019880,15918446,15918442,15918109,11040239,7314629,7314630,7110837,7110835,10762166,11544872,16562528,22530271,28515810,28518460,21297526,15330136,10588017,6984522,6984521,10588014,15330130,21297518,28518453,28515687,21294484,15327960,15327961,21294487,16316843,11352153,11352154,16316847,22489798,29351530,22472736,16303111,16303110,21979471,29307034,29839687,22472052,16302598,16302599,22472057,21295216,15328470,10587077,10587075,15328466,21080545,28286594,29840643,22473223,22473224,29840644,37333508,28796017,28796018,29880927,29350935,29350934,254581048,22019309,22019308,29350893,29351227,22019685,15918331,11040368,7314692,7314690,11040366,15918325,22009957,15908383,11029674,7304151,7304149,11029669,14485353,11717647,11046038,7320717,4622151,2783325,1614474,918296,918293,1614462,2783287,4622081,7320583,11045692,11045694,15922829,17290641,22516974,17273533,14570820,10026539,6589696,6589699,10026511,7628509,4826482,4826478,7628502,11345385,7539236,4769176,4769175,7539234,11345380,16306135,16343408,17260293,17260294,21530613,15517140,15517139,21530610,28795953,37333464,37015954,37015955,29243096,21923685,21923686,17076497,17076498,23342698,28304067,254233830,20189176,20189175,27087167,23342694,22525145,16352184,16352185,17271824,17271825,17273626,17068343,12139986,8169467,6984252,6984246,10587496,7289205,4596593,2765213,2765217,4596607,7289237,6589677,4778024,4778026,2879541,2879544,4778074,7556143,11373837,12071600,12071604,17168369,17321403,16341683,11370432,11370434,12168276,12168278,16307192,16307190,22006296,15905364,15905363,15547813,15547812,21570194,22512096,22512097,22522781,16349669,16349670,13329641,9107796,5959511,5959510,9107795,13329639,12161486,12161487,14484609,9966029,9966031,6549985,6549987,8241894,7552477,4776089,4776087,7552468,11368026,11368152,11360251,11360208,11360209,11360227,7549983,7549986,11364067,8243047,8243046,11369349,7558994,7553140,7553142,7492733,7492735,11286090,11364714,7550391,7550387,8248911,8248914,12218666,11360905,7547967,5283047,5283042,6524820,4088216,2445818,2445819,4088234,6524867,8201044,8201043,11283695,16231036,16694576,11655594,7767138,7767135,5313705,3263036,3263039,5313648,5313646,5257945,4088304,2445851,2445854,4088320,6525029,9928357,14433308,16788150,16788152,15928035,11051331,9927825,6524723,6524725,9927838,10453874,11283866,7490934,7490931,11283900,16231375,17266917,17266916,15929887,11052956,8224962,8224961,254104610,23635444,30791137,30791138,39393777,49321881,254836576,39824941,39824942,38432590,254267006,23566394,17255029,17255028,23566391,31050607,38423931,254586320,20801331,20801329,267976058,23633556,23633555,31120146,38411670,38411665,29838779,29838702,28504405,22487094,22487093,29852730,38420747,48329013,48330048,48331640,59710894,59716136,255548962,29856612,29856610,267909502,22479121,29845369,22692630,22692631,23007681,30412747,28286925,21080860,15143014,10443946,10443947,15143022,21081716,22471636,16302394,16302393,22471778,29347423,29347425,36784138,28287754,28287752,22471488,22471473,17373425,12241517,12241515,11371198,7554393,4777114,2879077,2879074,4777087,7554339,11371104,15978028,11091862,11091864,15978033,16768831,16768835,23008209,23680789,22482553,17284088,17284085,16309194,16309196,16309184,16309187,21080935,28286995,36783585,255443196,22024717,15923508,11046114,10423841,10423842,11046107,11046072,7320733,4622159,4622160,7320736,10423847,15112319,21039763,28238191,29840473,22472984,16303330,11343726,7538373,4768804,2874931,1668954,1668955,2874933,4768807,7538379,11343738,11360330,7547577,4773422,4773423,5257720,8188106,12157417,11035237,7309951,4613773,2778209,2778208,4613767,7309942,11035223,15913660,20198783,18725741,18725742,17278286,12157863,12157864,17278289,17292873,12171709,8203897,7309970,4613779,2877866,2877867,4774772,7550158,11364316,15861729,17293574,12172412,8204673,5275963,5275964,8204676,12172417,17293582,17313094,12188721,8248898,8248902,11364779,11360903,7547952,7547956,7549211,4774439,2877687,2877684,4774429,7549568,11363378,16332665,17287216,23599732,22504183,16330111,16330108,11367926,11367925,16338544,16326088,11358205,11035329,11035325,267754666,4773370,4773371,7547482,11360192,8213530,5284387,4625338,2785562,2785563,4625340,7324344,11049091,15925986,22026906,16340558,11369497,11369496,16340554,16788776,17325785,12200427,8231418,8231419,12200432,17325793,23642496,27015970,27015969,31141050,23653565,23653566,23319026,17054540,11963976,8008717,5098296,5098293,8008622,5098263,5098262,8008619,7544336,4771715,4771714,7544330,11354806,12210832,254167220,5313478,8241718,12210837,16766051,16766052,17326265,22501571,22501573,16334741,16334742,11365369,7550797,7550794,11027107,7301325,7301326,4774884,4774889,7550358,7884359,7884356,10960228,15815536,21566070,28837675,21593997,15567300,10767586,7114348,7114349,10767588,13509290,9243374,9243375,9243373,9243372,8277113,5404232,5404230,8373697,11747942,11747944,16801255,17552600,15486147,15486145,12248216,12248212,17381303,17381322,23703967,254158502,23899731,17554780,17405467,17405466,17882962,23737469,23737470,24260600,17882969,12666666,12666668,17559803,17559805,17572685,18981559,13544896,9272680,6073920,3800403,3800401,6073915,9272672 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15317354, s2 = 7844664, dlinesl.size( ) = 2 s1 = 15317354, s2 = 7844664, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15317354, Dl.E( ) = 38, 1.19e-05 seconds used appending s1 = 15333452, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11617289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617289, s2 = 11007802, int(edited[s2]) = 0 s1 = 11617289, s2 = 11007802, d1 = 38, d2 = 66 Dl.O(d1) = 243244006 Dl.O(d2) = 16290877,11333973,11333975,9901448,9901451,11567151,16587274,15769514 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617289, s2 = 11007802, dlinesl.size( ) = 14 s1 = 13041128, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11154135, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11480583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480583, s2 = 11249974, int(edited[s2]) = 0 s1 = 11480583, s2 = 11249974, d1 = 54, d2 = 25 Dl.O(d1) = 262198918 Dl.O(d2) = 139529131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480583, s2 = 11249974, dlinesl.size( ) = 46 s1 = 14093604, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11244213, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11244213, s2 = 9728140, int(edited[s2]) = 0 s1 = 11244213, s2 = 9728140, d1 = 78, d2 = 46 Dl.O(d1) = 99101569,113088645,263516297,264195319,264740681,219003223,265375875,265708069,229850739,231286296,232573463,233735889,232573474,231286304,266108451,231286299,229850743,228234249 Dl.O(d2) = 266730755,237448697,266509491,274631341,265856759,265379931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11244213, s2 = 9728140, dlinesl.size( ) = 46 s1 = 11325359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325359, s2 = 13998473, int(edited[s2]) = 0 s1 = 11325359, s2 = 13998473, d1 = 8, d2 = 73 Dl.O(d1) = 137650249 Dl.O(d2) = 153209209,165028150,175760260,185272516,193570882,200683872,200683877,193570884,259960324,272848325,256901766,29156968,36767649,36767650,255057654,40549165,31850968,268336388,32155265,27988169,257384923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11325359, s2 = 13998473, dlinesl.size( ) = 42 s1 = 13030348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13030516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13030578, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355658, s2 = 7424161, int(edited[s2]) = 0 s1 = 14355658, s2 = 7424161, d1 = 0, d2 = 26 Dl.O(d1) = 206886145 Dl.O(d2) = 266513483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355658, s2 = 7424161, dlinesl.size( ) = 20 s1 = 10386752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14352148, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14352148, s2 = 2964000, int(edited[s2]) = 0 s1 = 14352148, s2 = 2964000, d1 = 24, d2 = 37 Dl.O(d1) = 65564105 Dl.O(d2) = 102360391,88363659,74734925,61940507,61940505,61940506,74734923,88363658,102360388 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14352148, s2 = 2964000, dlinesl.size( ) = 22 s1 = 11521559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526703, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11526703, s2 = 11486280, int(edited[s2]) = 0 s1 = 11526703, s2 = 11486280, d1 = 19, d2 = 96 Dl.O(d1) = 225126674 Dl.O(d2) = 262452943,180248352,263373688,181491667,263745003 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11526703, s2 = 11486280, dlinesl.size( ) = 44 s1 = 14355728, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355728, s2 = 10359021, int(edited[s2]) = 0 s1 = 14355728, s2 = 10359021, d1 = 29, d2 = 74 Dl.O(d1) = 264487169 Dl.O(d2) = 237651815,274359604,216530008,274271250 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355728, s2 = 10359021, dlinesl.size( ) = 54 s1 = 11522227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16032519, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11412131, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11502067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11100755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056229, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056229, s2 = 11592170, int(edited[s2]) = 0 s1 = 11056229, s2 = 11592170, d1 = 77, d2 = 48 Dl.O(d1) = 255045616,58728582,256341420 Dl.O(d2) = 242906355,242906354,243213382,242906357,242576517,242576518,267083790,241653131,241653130,241653129,274913994,267002544,266626335 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056229, s2 = 11592170, dlinesl.size( ) = 40 s1 = 14246841, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14246841, s2 = 11048296, int(edited[s2]) = 0 s1 = 14246841, s2 = 11048296, d1 = 12, d2 = 8 Dl.O(d1) = 268300119,13551509 Dl.O(d2) = 3837323,6133441 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14246841, s2 = 11048296, dlinesl.size( ) = 14 s1 = 14022353, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10220806, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10220806, s2 = 7446267, int(edited[s2]) = 0 s1 = 10220806, s2 = 7446267, d1 = 44, d2 = 7 Dl.O(d1) = 128603498,114706739,114706740,260936868,100661263,100661264,114706732,272233055,141964182,128603458,114706691,114706693,128603460,141964200,141964218,141964182,128603458,114706691,114706693,272233053,272878753,176924675,186299589,194472392,201473211,207366124,212225675,216196424,265221727 Dl.O(d2) = 238219794,238219793,266735393,266784104,274744658,234885644,234885645,235840117,235840119,234885647,274689960,232686533,266091988,228388172,226563047,224467928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10220806, s2 = 7446267, dlinesl.size( ) = 18 s1 = 11166913, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14355852, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11488963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355908, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13032738, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13032738, s2 = 11056900, int(edited[s2]) = 0 s1 = 13032738, s2 = 11056900, d1 = 12, d2 = 14 Dl.O(d1) = 255519546 Dl.O(d2) = 256354096 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13032738, s2 = 11056900, dlinesl.size( ) = 20 s1 = 15324989, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12270439, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11414285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11414285, s2 = 8588217, int(edited[s2]) = 0 s1 = 11414285, s2 = 8588217, d1 = 22, d2 = 15 Dl.O(d1) = 258385702,257181934 Dl.O(d2) = 167517859,155901508,260852540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11414285, s2 = 8588217, dlinesl.size( ) = 34 s1 = 11197807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11197807, s2 = 11566894, int(edited[s2]) = 0 s1 = 11197807, s2 = 11566894, d1 = 0, d2 = 37 Dl.O(d1) = 77770512 Dl.O(d2) = 265794305 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11197807, s2 = 11566894, dlinesl.size( ) = 40 s1 = 11619117, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11592881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592881, s2 = 8141361, int(edited[s2]) = 0 s1 = 11592881, s2 = 8141361, d1 = 72, d2 = 77 Dl.O(d1) = 274875794,241922025,267154548 Dl.O(d2) = 215874342,219207440,222020479,224435837,224435854,222020489,264990342,206911496,206911495,211844416,274193538,211844412,206911492,200939827,263544180,176141970,262234158,269809794,39425389,255900606,11515135,11515134,16428015,22612336,17281570,16541940,11528941,10020080,6585777,4126171,4126166,6585726,10019963,267821582,6586714,6586715,6586710,6586709,10021805,7128839,6586749,4126661,2468560,1426831,811606,459890,259330,259329,459887,811598,1426814,2468525,4126596,6586611,10021601,11339639,12670492,11339624,11339623,7535583,7535582,10520108,7124825,7124824,8597082,8597079,12661366,254912178,24340993,24340994,28895357,21619794,15589549,14959769,14959768,12159649,8190115,8190116,12159654,17280356,23592407,19101934,19101935,254875884,20349094,21619716,21619715,20831986,14933576,10270150,7536181,4767130,2873637,1667778,1667779,2080858,3500866,5633308,4766459,4766461,7534946,11338604,16296477,14609336,10052603,10052605,14608952,14609357,10052616,10052617,8845256,8845257,10336244,10336243,15006208,10336347,10336349,14603884,15006369,10336362,6803743,4266873,2551022,2551024,4266874,6803746,6837506,10292110,14959197,14959969,15006318,11271603,11271602,14943751,10278295,10278294,14943746,14607966,14604914,10049669,8240029,8240022,254484796,23651066,257635053,57771018,258630063,97872596 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592881, s2 = 8141361, dlinesl.size( ) = 30 s1 = 11271687, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13645292, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14355990, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355990, s2 = 8921302, int(edited[s2]) = 0 s1 = 14355990, s2 = 8921302, d1 = 79, d2 = 62 Dl.O(d1) = 246677680,246743643,246806496,246867053,246867054,246806498,246806497,267600385,246925518,246925517,267618071,247082010,247125812,247165501,267640013,247204301,267636374,247201929 Dl.O(d2) = 241018317,240538682,240021799,239464466,274808638,236690604,235819659,234863076,233813112 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355990, s2 = 8921302, dlinesl.size( ) = 24 s1 = 13033300, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11198109, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11585535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11585535, s2 = 16119108, int(edited[s2]) = 0 s1 = 11585535, s2 = 16119108, d1 = 50, d2 = 41 Dl.O(d1) = 237340048 Dl.O(d2) = 231136364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11585535, s2 = 16119108, dlinesl.size( ) = 2 s1 = 11585535, s2 = 16119108, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11585535, Dl.E( ) = 74, 2.79e-05 seconds used appending s1 = 11406711, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11406711, s2 = 1530204, int(edited[s2]) = 0 s1 = 11406711, s2 = 1530204, d1 = 96, d2 = 114 Dl.O(d1) = 273396821,220442230,217336317,264344370,263703278 Dl.O(d2) = 1952854,3319774,5399132,8365323,12255904,12255905,17391696,17914139,17914138,20142092,14979551,10311821,6782717,4251824,2541838,2541837,4251818,5409739,8383068,7679859,7679858,11543502,12263474,8281774,8281778,8366808,12381734,17552178,23704827,17385805,17385806,23709206,23736715,17411890,12270934,12270935,17411897,23736726,23086212,16833046,11771451,8280236,5342363,5342362,8280233,5342389,3283597,1931161,1103238,1103239,1931165,3283607,3283619,5339804,3282176,3282178,5339774,8275752,12253793,11234440,11234438,16166979,22312727,256399181,48141300,59528415,48777029,38856945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11406711, s2 = 1530204, dlinesl.size( ) = 58 s1 = 11247869, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11247869, s2 = 11504646, int(edited[s2]) = 0 s1 = 11247869, s2 = 11504646, d1 = 23, d2 = 1 Dl.O(d1) = 258538514 Dl.O(d2) = 219699058 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11247869, s2 = 11504646, dlinesl.size( ) = 2 s1 = 11247869, s2 = 11504646, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11247869, Dl.E( ) = 44, 1.29e-05 seconds used appending s1 = 11225729, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356052, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14356052, s2 = 6953370, int(edited[s2]) = 0 s1 = 14356052, s2 = 6953370, d1 = 17, d2 = 10 Dl.O(d1) = 257480889,71777207,85367034,99311998,113315540,127175127,140521854,153204510,153204512,140521856 Dl.O(d2) = 260559907 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14356052, s2 = 6953370, dlinesl.size( ) = 12 s1 = 11189123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11264239, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11059457, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11059457, s2 = 11041690, int(edited[s2]) = 0 s1 = 11059457, s2 = 11041690, d1 = 121, d2 = 129 Dl.O(d1) = 28471750,21251559,15286451,254726247,2619460,1512238,857404,857403,1512237,2619458,4372574,6959364,10551972,267799956,10542773,12375905,17545424,21245570,18933742,18933743,22878092,17572865,12401011,12401012,14446292,14446291,20140320,17154505,17154504,17163814,12067498,8114552,8114551,12067497,255269411,15289225,256748301,258660748 Dl.O(d2) = 115803312,270382384,31221647,31221648 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11059457, s2 = 11041690, dlinesl.size( ) = 72 s1 = 13034196, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11495975, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11599093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11409381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11575615, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11544511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544511, s2 = 11022190, int(edited[s2]) = 0 s1 = 11544511, s2 = 11022190, d1 = 31, d2 = 1 Dl.O(d1) = 264265942,220829835 Dl.O(d2) = 92581541,78533744,65243290 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544511, s2 = 11022190, dlinesl.size( ) = 32 s1 = 11508997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508997, s2 = 14336203, int(edited[s2]) = 0 s1 = 11508997, s2 = 14336203, d1 = 82, d2 = 94 Dl.O(d1) = 265291159,225448725,227412353 Dl.O(d2) = 206514922,211507087,215586324,264736056,211507088,211507097,264476894,200474724,193322285,184988363,175444400,262670940,164686367,175444403,264189491,206514921,273981772,200474723,193322285,184988363,175444400,164686365,164686366,175444401,184988367,193322289,200474731,200474720,193322283,193322284,264189489,200474739,264476891,211507099,215586330,218957732,218957727,218957726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508997, s2 = 14336203, dlinesl.size( ) = 48 s1 = 15328692, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11375210, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11375210, s2 = 7181711, int(edited[s2]) = 0 s1 = 11375210, s2 = 7181711, d1 = 1, d2 = 24 Dl.O(d1) = 144641032 Dl.O(d2) = 222792330,225113770,222792329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 16374908, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16374908, s2 = 11335084, int(edited[s2]) = 0 s1 = 16374908, s2 = 11335084, d1 = 46, d2 = 1 Dl.O(d1) = 264363917,213943543,274311615,264827467,274199446,212838972 Dl.O(d2) = 178194808,262275294 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16374908, s2 = 11335084, dlinesl.size( ) = 48 s1 = 13035324, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11469871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14359189, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356392, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13998515, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8934587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14349270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356470, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16372380, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356509, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14356509, s2 = 11305410, int(edited[s2]) = 0 s1 = 14356509, s2 = 11305410, d1 = 0, d2 = 3 Dl.O(d1) = 60481048 Dl.O(d2) = 100821365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14356509, s2 = 11305410, dlinesl.size( ) = 2 s1 = 14356509, s2 = 11305410, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14356509, Dl.E( ) = 24, 2.5e-05 seconds used appending s1 = 13036062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11328241, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11328241, s2 = 8515991, int(edited[s2]) = 0 s1 = 11328241, s2 = 8515991, d1 = 29, d2 = 34 Dl.O(d1) = 260653690,153984079,165756299 Dl.O(d2) = 261945109,132962993,261350760,77022445 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11328241, s2 = 8515991, dlinesl.size( ) = 28 s1 = 13036098, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13036098, s2 = 12618720, int(edited[s2]) = 0 s1 = 13036098, s2 = 12618720, d1 = 11, d2 = 7 Dl.O(d1) = 273633044,206998335,201046714,193987126,262479910,176299452,165626108,153845216,141169399,127807480,259668976,99904846,85946667,72351374,59616749,48229987,48229988,254926158,28339492,21127308,15178700,15178699,12295012,10468344,10468347,10017011,6584299,6584296,10017615,10017560,6584316,4125380,4125378,6584311,10017671,11245303,10017015,10017017,6584447,6584444,5404339,5404338,8373903,8370721,5402352,5402355,8370727,8105240,8105241,8373024,6054526,6054525,8386145,12408229,17580224,255568427,12385543,12385542,17553525,12383096,12383095,12390287,8373074,8373073,12390285,12436244,255390060,12401726,12401728,17159057,12062454,12062455,254301108,17568012,18949755,13512998,9246123,6055634,3789308,2270165,1316717,1316716,2270159,3789296,6055611,9246085,13512940,17575878,14208821,14208820,19834480,26647943,33328337,31061097,23577560,17265913,15465079,10693545,7064731,4448102,4448103,7064735,7957574,11899214,268242681,18968412,22391336,16232213,16232212,22391334 Dl.O(d2) = 72351378,85946673,99904851,113927831,113927828,99904849,99904850,272214171,127807482,141169401,153845219,165626110,176299455,185747433,193987129,201046718,206998338,211913718 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13036098, s2 = 12618720, dlinesl.size( ) = 2 s1 = 13036098, s2 = 12618720, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13036098, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 11384289, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11384289, s2 = 2830512, int(edited[s2]) = 0 s1 = 11384289, s2 = 2830512, d1 = 25, d2 = 0 Dl.O(d1) = 262796155 Dl.O(d2) = 10733640,10733641,15519841,21534407,28800659,37338652,47248541,58641610,71377715,84953232,98878772,112865981,126717256,140064235,261417060,262453832,175203540 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11384289, s2 = 2830512, dlinesl.size( ) = 2 s1 = 11384289, s2 = 2830512, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11384289, Dl.E( ) = 50, 1.6e-05 seconds used appending s1 = 14158277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14242868, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14261004, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11572519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361595, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11479423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11479423, s2 = 11195116, int(edited[s2]) = 0 s1 = 11479423, s2 = 11195116, d1 = 13, d2 = 26 Dl.O(d1) = 263325900 Dl.O(d2) = 152756234,260246254,112868259,98881065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11479423, s2 = 11195116, dlinesl.size( ) = 30 s1 = 13018583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13018583, s2 = 11158222, int(edited[s2]) = 0 s1 = 13018583, s2 = 11158222, d1 = 3, d2 = 8 Dl.O(d1) = 2164175,3624048,5809981,8903600,13066259,8973139,8973138,13066281,8903609,5809984,5809985,8903615,13066292,18395788,24898339,30269264,30269265,24336220,17946381,17946382,24336222,28900064,21624958,15594244,10787791,10787792,15594237,19004239,13563054,9286182,6083192,6083194,9286169,13563036,19004209,25618313,21520769,21520770,28784416,27671972,25143394,22274255,16132055,16132056,11274592,11274591,13208090,13208088,9003940,5877864,5877854,3669678,3669680 Dl.O(d2) = 5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669676,5877229,3669480,3669481,5877235,9002752,13206700,255645349 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13018583, s2 = 11158222, dlinesl.size( ) = 2 s1 = 13018583, s2 = 11158222, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13018583, Dl.E( ) = 10, 5.01e-06 seconds used appending s1 = 13037134, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14356764, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14356764, s2 = 11038940, int(edited[s2]) = 0 s1 = 14356764, s2 = 11038940, d1 = 34, d2 = 15 Dl.O(d1) = 258123839,85778770 Dl.O(d2) = 256987646 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14356764, s2 = 11038940, dlinesl.size( ) = 36 s1 = 11314393, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11053181, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11053181, s2 = 11050970, int(edited[s2]) = 0 s1 = 11053181, s2 = 11050970, d1 = 15, d2 = 33 Dl.O(d1) = 28150472,256823865,57846101,70548005,84084974,260485757 Dl.O(d2) = 273753616,184116246,192567397,184116243,174466978,174466972,163630401,261617437,125714034,261064883,151755110,163630410,174466981,273896346,199839912,264419529,199250707,191879087,183309563,262573035,262573037,273518048,273958961,261550260,270135270,67584700 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11053181, s2 = 11050970, dlinesl.size( ) = 26 s1 = 11184575, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11184575, s2 = 3496730, int(edited[s2]) = 0 s1 = 11184575, s2 = 3496730, d1 = 26, d2 = 6 Dl.O(d1) = 270864257,260648691,141807528,262758587,185295477,263126601,262206193,262686791 Dl.O(d2) = 115781009 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11184575, s2 = 3496730, dlinesl.size( ) = 26 s1 = 11653861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10666270, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11261679, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261679, s2 = 11153868, int(edited[s2]) = 0 s1 = 11261679, s2 = 11153868, d1 = 1, d2 = 21 Dl.O(d1) = 105534336 Dl.O(d2) = 167620491,272245674,130141784,116231782,260082160,116231783,102171575,258218398 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261679, s2 = 11153868, dlinesl.size( ) = 24 s1 = 10867216, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10867216, s2 = 15339016, int(edited[s2]) = 0 s1 = 10867216, s2 = 15339016, d1 = 15, d2 = 28 Dl.O(d1) = 233091828 Dl.O(d2) = 52652309,42266419,33286407,25526116,254550084,13485625,13485626,254245714,6042459,3780336,3780335,6042458,9226434,11635223,7752395,7752397,11636611,11742853,16794599,18916464,13485624,9226420,9174054,6004574,3755176,2248915,2248914,3755174,4908660,2958628,1715498,974717,548720,548719,974714,254087126,254126668,11634747 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10867216, s2 = 15339016, dlinesl.size( ) = 2 s1 = 10867216, s2 = 15339016, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10867216, Dl.E( ) = 126, 4.2e-05 seconds used appending s1 = 15315766, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13037954, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13019871, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13499399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13499399, s2 = 13584987, int(edited[s2]) = 0 s1 = 13499399, s2 = 13584987, d1 = 2, d2 = 11 Dl.O(d1) = 42202000,52561889,55525242,257925510 Dl.O(d2) = 260353081,112288509,98306275,84397149,258821586,36878015,28381744,21164278,15207682,15207681,21164275,18917680,255668731,33287539,255668725,13486451,9227069,6043014,6043015,9227071,268145937,25527226,33287488,25527180,25527179,25527239,18917672,18917671,25527222,25527221,33287560,42267603,52653500,52653520,64553080,258412445,52653513,52653512,64552922,52653387,42267507,33287494,25527184,25527182,33287492,42267501,33287499,33287500,42267515,52653402,64552906,77735338 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13499399, s2 = 13584987, dlinesl.size( ) = 2 s1 = 13499399, s2 = 13584987, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13499399, Dl.E( ) = 14, 5.01e-06 seconds used appending s1 = 15329820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15329820, s2 = 13600492, int(edited[s2]) = 0 s1 = 15329820, s2 = 13600492, d1 = 25, d2 = 21 Dl.O(d1) = 2498136,1441862,1441858,2498207,2480711,2480707,4148951,6626548,10090035,14670268,20443738,27419839,35604219,44067605,44067602,45683022,54867966,54867964,57111762,258231288,56327327,63861872,76973529,83510278,76493724,63446574,257015926,254561566,5688164,3538475,2106309,1212975,684345,684348,1212986,2106333,3538525,5688266,8737559,12849068,18120939,24559368,30064897,30064896,24556713,18118946,18118945,23985348,29330678,22000150,22000149,23363072,23363071,23826399,24556829,22000142,15900465,11022969,11022968,15900463,18675648,18432902,13092994,13092992,13283099,13283102,18675663,24558319,24558996,22117322,22117321,24556229,18118599,12847646,8736725,5687832,5687835,8736737,12847671,18118640,12849081,12849083,18120959,24559413,32141461,256012142,29451427,29451428,30702485,23286785,17027736,254819595,7993593,11942816,17027733,23286783,30702480,36488593,28026281,20859098,254561592,30438809,39028234,47927313,38012978,29450937,29450936,38012977,40918480,40918481,40915040,40915041,49288333,39361239,30760334,255138288,32141409,40196364,40196367,39376856,30775396,30775392,39376845,40917713,33077192,33077193,30777411,30777410,38013310,38013311,32137308,32137309,40915009,50218795,268067270,255018634,58114878,47429706,37522033,37522032,47429703,58816448,64092204,52244780,47791602,47791601,49415647,39486130,256375130,40196452,31510524,24010619,17663743,17663742,24010617,18676123,18676122,255382994,41908328,49849968,255382992,87720946,257300404,39866962,35898106,27611722,20569079,268172234,14786294,14786251,10169920,10169922,14786260,20617386,27686543,36014751,45704440,56889463,53941906,53941907,64083366,64083365,52237251,41901242,32962833,25241353,256109517,25241354,256109519,32962836,41901248,52237258,64083371,77226739,77393031,77393026,77393027,77514931,64349326,52479118,42124048,33167682,25425070,25425069,33167679,42124042,257546832,28365972,30645647,30645648,39241956,31165046,23676795,17356692,17356691,23676791,31165078,30645670,23223424,16950243,16950244,16945065,11859635,11859634,16945062,12226734,12226736,13640394,9340640,6118275,6118276,5325587,5325585,8255328,12227223,13770292,16947843,11861403,11861402,16946481,11860870,7926933,5039186,5039187,7926939,7927423,5039421,3050950,1777348,1013306,571184,571185,1013311,1777363,3050982,5039483,7927562,11861948,11064784,7336508,4634274,2791651,254202462,7336500,11064763,15944919,255247350,37943885,47862649,51033311,51033310,62659793,51033313,40895547,32121394,32121390,24543342,24543343,32121393,40895545,51033308,62659790,75602631,89364263 Dl.O(d2) = 188305376,179251423,168962276,168962277,179251427,188305378,192426444,263071130,262140264,259266610,270795072,103827982,89722828,75943988 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15329820, s2 = 13600492, dlinesl.size( ) = 8 s1 = 14357050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11183537, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11183537, s2 = 13276628, int(edited[s2]) = 0 s1 = 11183537, s2 = 13276628, d1 = 30, d2 = 47 Dl.O(d1) = 257770774 Dl.O(d2) = 255021507,4354133,255021243,10506951,10506952,15231296,17770224,19841168,19841167,17142215,12047503,12047502,17142212,23418374,254137610,27042046,20149172,20149171,17742031,12553548,12553546,16467885,22662337,28212185,24156289,24156290,30573614,30573613,31703463,38807931,47195542,39164548,32798029,25097585,18549831,13179998,13179999,18549832,254869712,31646596,31701504,40274202,31641731,24134898,17771156,16612769,16612768 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11183537, s2 = 13276628, dlinesl.size( ) = 46 s1 = 11093199, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11093199, s2 = 8022336, int(edited[s2]) = 0 s1 = 11093199, s2 = 8022336, d1 = 25, d2 = 33 Dl.O(d1) = 31349001,37024822,28526826,28526825,258041241,259911497,98468596,262286883 Dl.O(d2) = 52015449,256617901,25091489,18545679,18545678,13177292,254638947,5864211,8982373,13177256,12324713,8325306,5372854,3303672,3303669,5372852,5372822,5372823,8325245,12324623,254848679,8325240,12324616,17480369,18545641,18545640,23814612,23815153,23815173,31300937,23815158,17480571,17480572,17535420,17535421,23814861,17480354,17480353,17976500,12739475,8657055,5631093,5631092,8657051,12739469,17976490,24374604,31300950,23814537,17480120,254848665,5372756,8325133,255077240,12456402,12456403,255077242,31477420,28647981,28647982,256863533,58430080,47055482,37164610,28647994,21405992,21405991,28647992,28886183,21610130,21610131,28886185,256881745,58136593,65148457,53164019,42714231,33684143,28886201,256340265,47336502,47336556,37428269,37428266,39472092,30868659,23440434,17166878,17166883,23440445,30868670,23440741,17167067,12070774,9403774,9403773,13727749,19218465,23440644,23440643,30868940,30868946,23440649,17167014,12070744,8117093,5200216,3172524,3172526,5200222,8117101,8117061,8117060,12070689,12070834,8117143,8117144,12070837,17167161,23440876,27084382,35172864,256009162,23440809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11093199, s2 = 8022336, dlinesl.size( ) = 28 s1 = 14104477, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11233409, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10570261, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14357236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14357236, s2 = 8026880, int(edited[s2]) = 0 s1 = 14357236, s2 = 8026880, d1 = 21, d2 = 9 Dl.O(d1) = 263246874,207944028,264568674,216625595,265435377,226978207,274567360,266147336,274606039,231708605,231708606,232958270,232958269,234089447,274673942 Dl.O(d2) = 258024206,256834848,40095103,31415268,23925473,23925476,20923641,15016178,255005091,6810329,4271449,2553766,1471033,1471030,2553760,4271441,6810316,7479071,7479072,11266374,9742331,6406146,6406150,4019094,4019096,6406194,9742412,14171328,12225291,12225294,17354090,23673574,31162089,25485675,18882647,13456188,9202082,6024656,6024657,9202077,13456175,18882621,25485639,33234541,42194685,36451936,36451937,46304846,57649643,70340209,255412270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14357236, s2 = 8026880, dlinesl.size( ) = 10 s1 = 11508183, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11508183, s2 = 11622488, int(edited[s2]) = 0 s1 = 11508183, s2 = 11622488, d1 = 71, d2 = 51 Dl.O(d1) = 220254452,222921231,225218828 Dl.O(d2) = 267021241 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11508183, s2 = 11622488, dlinesl.size( ) = 58 s1 = 13039396, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13039396, s2 = 14003230, int(edited[s2]) = 0 s1 = 13039396, s2 = 14003230, d1 = 5, d2 = 73 Dl.O(d1) = 230275676 Dl.O(d2) = 243248961,242944074,242617238,242265756,241886356,241474877,266833240,240037694,239482278,239482277,239482279,238881180,238227050,237508721,236717333,235849012,234895561,233848785,265811166,230006604,228405067,226581547,224488346,222079557,219275497,264405466,211947137,207040192,201092979,194035979,272758312,165693288,165693289,176359110,263002334,194035980,201092980,201092982,201092981,201092982,194035981,263002336,194035983,273486724,207040190,211947136,215955745,211947138,207040194,263002338,185800855,185800856,176359115,165693292,165693291,176359114,263002340,273280032,185800855,185800856,176359115,262053132,261519482,165693290,176359112,176359115,262053132,260356396,127885676,114006206,99981332,86020738,72423551,59688285,48301613,38391283,29818814,22451273,16282110,16282109,22451272,29818812,38391282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13039396, s2 = 14003230, dlinesl.size( ) = 34 s1 = 15049119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15049119, s2 = 7544527, int(edited[s2]) = 0 s1 = 15049119, s2 = 7544527, d1 = 43, d2 = 20 Dl.O(d1) = 267613245,247088495,247131710,275070245,247305852 Dl.O(d2) = 267659346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15049119, s2 = 7544527, dlinesl.size( ) = 26 s1 = 11643545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643545, s2 = 11635652, int(edited[s2]) = 0 s1 = 11643545, s2 = 11635652, d1 = 72, d2 = 1 Dl.O(d1) = 267669740,247571543,247591237 Dl.O(d2) = 246260797 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643545, s2 = 11635652, dlinesl.size( ) = 28 s1 = 11432435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13209324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13209324, s2 = 10342319, int(edited[s2]) = 0 s1 = 13209324, s2 = 10342319, d1 = 4, d2 = 7 Dl.O(d1) = 6127609,6291838,6291154,6291151,9584152,254203064,18705002,25277514,255282720,2292309,1330059,759470,759469,1330056,2292300,3826185,6099554,6082818,3809345,2357336,1365122,777663,441306,441304 Dl.O(d2) = 777647,1364410,2354624,3933230,6281554,254311098,19486266,19617822,14058599,255305749,255716131,256186195 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13209324, s2 = 10342319, dlinesl.size( ) = 8 s1 = 10342318, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10342318, s2 = 13209323, int(edited[s2]) = 0 s1 = 10342318, s2 = 13209323, d1 = 14, d2 = 11 Dl.O(d1) = 256186194,255716130,255305748,14058598,9668129,6358375,254311099,1383923,787225,446006,446008,787270 Dl.O(d2) = 1376174,2377530,2376617,1375793,1375790,2376601,3967358,3891504,2329973,2329975,3891515,6217464,6272962,9560059,13692842,255282721,2229982,1293223,254203065,3724435,5955546,5922430,5922431,3837966 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10342318, s2 = 13209323, dlinesl.size( ) = 10 s1 = 13287420, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13022711, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14360298, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14360298, s2 = 15911666, int(edited[s2]) = 0 s1 = 14360298, s2 = 15911666, d1 = 44, d2 = 75 Dl.O(d1) = 24541316,24541317,29495192,22156221,254688666,254338734,7359141,7359143,7417525,7417529,4687438,4687442,7417582,11179611,16095866,254507236,11096776,15984434,22091608,29422235,33149843,25437877,22680075,22680078,20052017,14366421,14366422,20052022,26937954,35019002,29825965,22458543,20069941,20069939,20182342,20182340,25409148,18818400,18818402,25409153,25884018,25884019,33149497,26961716,20077723,254688584,9901346,14395183,20077719,26961708,35041885,35022324,32559401,24908471,18403982,13072293,13072292,18403978,24908464,32559392,30687651,255047422,29422224,29422223,31352275,31352274,40032545,44403546,44390456,38058430,254520914,16035396,11134008,7385144,7385143 Dl.O(d2) = 15421239,10660519,10660520,15421241,21409701 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14360298, s2 = 15911666, dlinesl.size( ) = 2 s1 = 14360298, s2 = 15911666, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14360298, Dl.E( ) = 76, 1.91e-05 seconds used appending s1 = 13042294, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16375820, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16375820, s2 = 11259824, int(edited[s2]) = 0 s1 = 16375820, s2 = 11259824, d1 = 13, d2 = 0 Dl.O(d1) = 40100659,31420603,23930410,17588498,12415097,8391339,5415201,4831308,2911195,1688831,1688830,2911192,2911222,2911226,4831366,7256390,7256403,10837037,7476230,7476231,267979771,16480666,21635655,28910291,37449917,47356482,48867981,268066508,22960939,16725056,254328056,30362208,38948229,48867983,60261006,72996708,86594537,100556262,100556263,100556264,114588360,128474206,141827220,154471888,260496842,186210559,272826140,207321597,212190927,216168265,219463897,222247697,224637058,226712059,228520964,230110401,230135498,274433580,224675088,222291873,219516225,216230787,212267516,207416606,201534135,194545248,194545247,186386247,177026116,166440582,154730729,142092964,128734782,128734781 Dl.O(d2) = 128734782,114835171,100783280,86802632,269967730,60444189,49040362,39110596,30513481,23097882,19692343,19692344,26430132,34308002,43409405,53936487,66007082,79375442,93512237,107949653,122376203,136360576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16375820, s2 = 11259824, dlinesl.size( ) = 12 s1 = 13042398, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11204891, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11204891, s2 = 10147058, int(edited[s2]) = 0 s1 = 11204891, s2 = 10147058, d1 = 5, d2 = 28 Dl.O(d1) = 69423269 Dl.O(d2) = 136686622,149837489,162056732,173162000,262531742,261501888,163557479,259088936,111818946,97886559,84017697,255703772,46428399,51850348,256172430,63681000,256818012,257165759,40837215,40837216,50967636,62584971,75518634,89272944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11204891, s2 = 10147058, dlinesl.size( ) = 2 s1 = 11204891, s2 = 10147058, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11204891, Dl.E( ) = 30, 9.06e-06 seconds used appending s1 = 13023079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13023095, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13023095, s2 = 15337110, int(edited[s2]) = 0 s1 = 13023095, s2 = 15337110, d1 = 31, d2 = 28 Dl.O(d1) = 51850578,41563603,32670307,25137859,18583428,13205961,9003446,5877857 Dl.O(d2) = 254375429,7908036,11832931,16908100,23171585,29148832,21840741,15771133,15771134,21840746,20159074,20159075,27052336,26392847,21960574,15867713,15867714,19821387,14198468,14198467,19821382,14229305,14229304,16658621,14229321,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202908,21202907,28426485,21248410,21248411,19590976,14036618,9650774,9650773,14036625,17267927,17267928,23579714,27062435,26389346,21959985,15867247,10997582,10997583,15867250,19662075,15509242,10726079,7086758,7086760,10726083,15509247,21520850,23388692,26630350,26630351,19819332,16210091,16210092,22363583,29719809,26397469,26397470,23393964,17122226,17122225,14092615,14092616,14084482,14084481,14084505,14095092,11839052,11839053,12558013,11839268,11839267,8087811,5181871,3161628,1850856,1850854,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,3161349,1850694,1056223,1056225,1850682,3161310,5181214,8086638,12028473,16597526,22816333,17120970,12031597,12031596,12557364,8513799,5512459,3399828,2004416,1145773,1145774,2004420,3399839,5512478,8513830,7676386,4857317,2927174,2927172,4857311,4218010,4218009,6732451,10246623,11838262,7911637,7911636,10465919,6898761,6898759,10465917,15175142,21123362,28335333,28335331,28335332,36831846,46714506,58086355,70803286,84361933,98270327 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13023095, s2 = 15337110, dlinesl.size( ) = 28 s1 = 11566845, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11082801, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11401627, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11401627, s2 = 2735308, int(edited[s2]) = 0 s1 = 11401627, s2 = 2735308, d1 = 20, d2 = 26 Dl.O(d1) = 263562959 Dl.O(d2) = 78701216,65397218,53394102,258380880,12714084,8638664,5618159,5618160,7495803,4738326,4738325,7495801,5776158,5776159,6236164,9507973,9507786,6236027,3904121,2338035,1355055 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11401627, s2 = 2735308, dlinesl.size( ) = 30 s1 = 13042646, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14359958, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14359958, s2 = 11623082, int(edited[s2]) = 0 s1 = 14359958, s2 = 11623082, d1 = 27, d2 = 31 Dl.O(d1) = 266142471 Dl.O(d2) = 266967905 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14359958, s2 = 11623082, dlinesl.size( ) = 34 s1 = 13042938, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11426511, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11426511, s2 = 11118996, int(edited[s2]) = 0 s1 = 11426511, s2 = 11118996, d1 = 55, d2 = 72 Dl.O(d1) = 264024599 Dl.O(d2) = 258374215,51994823,41683629,32767473,25070688,18528477,13164459,8973142,8973141,13164453,18528464,18528455,13164448,8973139,8973138,13066281,8903609,5809984,5809985,8903615,13066292,18395788,24898339,30269264,30269265,24336220,17946381,17946382,24336222,28900064,21624958,15594244,10787791,10787792,15594237,19004239,13563054,9286182,6083192,6083194,9286169,13563036,19004209,25618313,21520769,21520770,28784416,35993305,38298954,29731460,29731461,38298952,255958960,38299207,40367860,43945835,54688259,57775088,70474770,84008327,97877002,268421074,138963229,151668579,163550276,162196956,149989519 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11426511, s2 = 11118996, dlinesl.size( ) = 12 s1 = 12268233, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12268233, s2 = 12554870, int(edited[s2]) = 0 s1 = 12268233, s2 = 12554870, d1 = 7, d2 = 5 Dl.O(d1) = 14495367,14495368,20201437,17943348,17943349 Dl.O(d2) = 13965090,19510118 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12268233, s2 = 12554870, dlinesl.size( ) = 10 s1 = 11586783, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13043276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14054866, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14347332, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13289516, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13289516, s2 = 2002680, int(edited[s2]) = 0 s1 = 13289516, s2 = 2002680, d1 = 21, d2 = 24 Dl.O(d1) = 32880629 Dl.O(d2) = 52093980 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13289516, s2 = 2002680, dlinesl.size( ) = 28 s1 = 16310431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16310431, s2 = 11421066, int(edited[s2]) = 0 s1 = 16310431, s2 = 11421066, d1 = 0, d2 = 0 Dl.O(d1) = 102515328,258923571,62073413,50581416,50581417,62073400,50581407,40545448,31847363,24327637,17939507,17939508,24327638,31847365,40545454,50581445,62073445,74871429,74871435,88487910,74852492,62054535,255624482,74871388,67538282,67538281,62073442,62054531,62054532,50581421,50581420,62073417,74871406,74852494,255227932,40525977,31828835,31828836,40525979,50562255,62054541,255624486,60315909,48917479,38993675,30404465,24753074,24753075,32371488,41189825,51380003,63068167,73056945,60315936,48917516,48917517,59440835,63068161,51380000,51380001,63068163,257145908,118124040,131939443,123603018,109410461,95155828,81098239,67632710,67632709,77270747,64123388,52274254,41935363,32994538,32994537,256627637,32994531,41935349,52274238,64123390,64123391,257901003,269634351,48277782,38366177,29793369,29793368,38366175,46928937,37346194,28807981,28807980,37346191,46928920,37050970,28551204,21326505,21326506,28551207,37050978,46928936,258043767,84573414,259648854,112487978,112487980,98496248,84573394,84573393,98496246,112487976,126355623,139731592,152457010,162726630,260418364,123953271,261008325,261569979,154298373,141644488,128294769,114418880,261760923,262749665,186102783,194308469,264241915,212127455,216112509,216268599,216268598,219549923,219549921,216268596,212310285,207465473,263506548,186458619,177107846,166530312,166530311,177107849,186458620,194608996,201589678,273738036,193012082,262785966,164232782,152360130,139639538,126268970,112406083,98417093,98417092,112406082,126268972,139639539,152360132,164232784,156257936,143731340,130405503,116565612,102466515,88462689,74829158,74829157,88462687,102466513,102466512,102466511,116565611,116565613,102466516,88462690,74829159,62032607,50540991,40505637,40505636,40505627,40505626,50540984,60083965,60083964,72821175,74829232,257688337,50541157,50541158,257067862,50541176,50541014,40505659,31810086,24294937,17912722,17912723,24294941,31810092,40505670,33330209,25570303,18960619,13524693,11158285,11158286,16068826,22197768,17828813,12624085,12624086,17828815,24198083,28760582,22430822,16263496,11967869,8011564,5100270,3095745,3095743,5100265,7400581,7400611,4675159,4675160,7400617,7400641,7400640,4675707,2816823,1634159,1634158,2816819,4675699,7401536,9229908,11018120,7400920,7400917,11158068,16069339,17474054,22198694,16069657,268222489,16254563,11300937,7502908,7502909,11300941,14574474,16068573,16068706,16068707,17314149,17059708,11967981,8011635,8011633,8011634,11967980,17059705,12298925,8306443,8306444,12298927 Dl.O(d2) = 102515328,258923571,62073413,50581416,50581417,62073400,50581407,40545448,31847363,24327637,17939507,17939508,24327638,31847365,40545454,50581445,62073445,74871429,74871435,88487910,74852492,62054535,255624482,74871388,67538282,67538281,62073442,62054531,62054532,50581421,50581420,62073417,74871406,74852494,255227932,40525977,31828835,31828836,40525979,50562255,62054541,255624486,60315909,48917479,38993675,30404465,24753074,24753075,32371488,41189825,51380003,63068167,73056945,60315936,48917516,48917517,59440835,63068161,51380000,51380001,63068163,257145908,118124040,131939443,123603018,109410461,95155828,81098239,67632710,67632709,77270747,64123388,52274254,41935363,32994538,32994537,256627637,32994531,41935349,52274238,64123390,64123391,257901003,269634351,48277782,38366177,29793369,29793368,38366175,46928937,37346194,28807981,28807980,37346191,46928920,37050970,28551204,21326505,21326506,28551207,37050978,46928936,258043767,84573414,259648854,112487978,112487980,98496248,84573394,84573393,98496246,112487976,126355623,139731592,152457010,162726630,260418364,123953271,261008325,261569979,154298373,141644488,128294769,114418880,261760923,262749665,186102783,194308469,264241915,212127455,216112509,216268599,216268598,219549923,219549921,216268596,212310285,207465473,263506548,186458619,177107846,166530312,166530311,177107849,186458620,194608996,201589678,273738036,193012082,262785966,164232782,152360130,139639538,126268970,112406083,98417093,98417092,112406082,126268972,139639539,152360132,164232784,156257936,143731340,130405503,116565612,102466515,88462689,74829158,74829157,88462687,102466513,102466512,102466511,116565611,116565613,102466516,88462690,74829159,62032607,50540991,40505637,40505636,40505627,40505626,50540984,60083965,60083964,72821175,74829232,257688337,50541157,50541158,257067862,50541176,50541014,40505659,31810086,24294937,17912722,17912723,24294941,31810092,40505670,33330209,25570303,18960619,13524693,11158285,11158286,16068826,22197768,17828813,12624085,12624086,17828815,24198083,28760582,22430822,16263496,11967869,8011564,5100270,3095745,3095743,5100265,7400581,7400611,4675159,4675160,7400617,7400641,7400640,4675707,2816823,1634159,1634158,2816819,4675699,7401536,9229908,11018120,7400920,7400917,11158068,16069339,17474054,22198694,16069657,268222489,16254563,11300937,7502908,7502909,11300941,14574474,16068573,16068706,16068707,17314149,17059708,11967981,8011635,8011633,8011634,11967980,17059705,12298925,8306443,8306444,12298927 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16310431, s2 = 11421066, dlinesl.size( ) = 2 s1 = 16310431, s2 = 11421066, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16310431, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 1867236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11039229, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13044024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14357909, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11206651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11206651, s2 = 10147853, int(edited[s2]) = 0 s1 = 11206651, s2 = 10147853, d1 = 25, d2 = 36 Dl.O(d1) = 70681552,57963066,256827957,28208778 Dl.O(d2) = 1490815,1490813,847048,478280,478281,847054,1485083,840087,473734,266281,266280,473728,840076,1485061,1485148,846945,846947,1494487,1490708,1490710,2586169,4323165,4323103,2586106,1490666,844064,844062,1490672,1490671,2578916,2578918,2578782,1494651,846826,846827,1494657,2591816,4312481,4312483,4307062,4307061,4313012,4312915,4312261,2578674,2578673,4312257,6870342,4331384,4331386,4331760,6870061,6870062,6870092,4313725,4313724,6869295,10420067,10421755,10421621,6870677,4312600,2578941,2578939,4312594,6868530,6868529,6868619,6868620,4312818,2579127,1485617,840386,473880,266346,147475,81083,81084,147478,266354,266308,266307,473799,840215,1485325,1486298,1486296,2580190,4313718,2579752,1486028,1486024,2579737,4313696,6869950,6870082,6872780,6872781,10421254,15108924,15111165,10423455,6872189,4313778,2579797,2579796,4313776,6872186,10423449,268200811,28237028,36731560,46619593,57995736,70712536,70712537,84263825,98157720,112117097,112117098,125950764,125950769,125950768,260492149,112117100 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11206651, s2 = 10147853, dlinesl.size( ) = 16 s1 = 11286971, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13044248, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14357960, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16375687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16375687, s2 = 8106639, int(edited[s2]) = 0 s1 = 16375687, s2 = 8106639, d1 = 6, d2 = 57 Dl.O(d1) = 162619193 Dl.O(d2) = 13787934,19286900,25951265,25951255,19286890,13787925,9453632,6197993,3879232,2323144,2323145,3879234,6197999,9453642,13787950,13787863,13787864,13787851,9453596,6197975,6197976,9453600,13787771,13787772,19286639,22153666,29492763,38056817,35158878,27072835,20177452,20177453,19286874,19286875,25951237,33759310,40975729,32195653,24607252,19286879,19286878,25951242,22868597,22868598,30265069,257569615 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16375687, s2 = 8106639, dlinesl.size( ) = 2 s1 = 16375687, s2 = 8106639, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16375687, Dl.E( ) = 90, 4.79e-05 seconds used appending s1 = 11380261, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11380261, s2 = 11298316, int(edited[s2]) = 0 s1 = 11380261, s2 = 11298316, d1 = 47, d2 = 32 Dl.O(d1) = 165597386,260826074,273213880 Dl.O(d2) = 9486433,9486434,258451843 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11380261, s2 = 11298316, dlinesl.size( ) = 32 s1 = 11481897, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481897, s2 = 6522763, int(edited[s2]) = 0 s1 = 11481897, s2 = 6522763, d1 = 21, d2 = 35 Dl.O(d1) = 273377154 Dl.O(d2) = 146250667,146250660,259473202,119181688,133016631,146250632,146250631,158624966,169987547,169987594,158625013,146250670,133016637,119181693,104986765,90808983,76932723,63824960,257036884,90808989,104986774,119181710,133016663,146250706,261807528,180157996,169987562,158624986,261807514,169987615,169987553,261807512,180158041,180157994,169987550,158624974,260089534,90808980,76932722,256491648,255540698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481897, s2 = 6522763, dlinesl.size( ) = 20 s1 = 11513399, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11513399, s2 = 13851480, int(edited[s2]) = 0 s1 = 11513399, s2 = 13851480, d1 = 98, d2 = 53 Dl.O(d1) = 264881938,211547312,265374713,226382731,265852461,231277460,232565345,233208040,265689162,265160398,213806789,209316039,209316040,213806791 Dl.O(d2) = 224268290,223179179 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11513399, s2 = 13851480, dlinesl.size( ) = 72 s1 = 14157519, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14187776, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11167799, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14358066, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16375758, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16375758, s2 = 12240433, int(edited[s2]) = 0 s1 = 16375758, s2 = 12240433, d1 = 79, d2 = 81 Dl.O(d1) = 161703746,263000847,191411203 Dl.O(d2) = 2079670,3490528,5618797,8639616,12715409,255599189,24332888,31852970,40551260,50587238,62079479,74877818,88514023,102522146,260761105,143800721,156325717,167905951,263270973,195542247,265260491,274426785,227073371,228841131 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16375758, s2 = 12240433, dlinesl.size( ) = 14 s1 = 14358096, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14358096, s2 = 14936935, int(edited[s2]) = 0 s1 = 14358096, s2 = 14936935, d1 = 6, d2 = 35 Dl.O(d1) = 221594572,224054850 Dl.O(d2) = 273697295,152186984,152186985,152186986,139463351,259641078 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14358096, s2 = 14936935, dlinesl.size( ) = 18 s1 = 11562371, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562371, s2 = 7241630, int(edited[s2]) = 0 s1 = 11562371, s2 = 7241630, d1 = 54, d2 = 25 Dl.O(d1) = 265969274,225152500 Dl.O(d2) = 263475642 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562371, s2 = 7241630, dlinesl.size( ) = 54 s1 = 15330682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531235, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11531235, s2 = 11284502, int(edited[s2]) = 0 s1 = 11531235, s2 = 11284502, d1 = 28, d2 = 0 Dl.O(d1) = 224209725,273574434,152751057,140061294,126714131,112862736,112862734,126714128 Dl.O(d2) = 112862735,259318057 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11531235, s2 = 11284502, dlinesl.size( ) = 36 s1 = 13045384, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13045384, s2 = 15300638, int(edited[s2]) = 0 s1 = 13045384, s2 = 15300638, d1 = 10, d2 = 14 Dl.O(d1) = 257986800,61186540,49709462,39692572,39692574,39660999,39661002,49659599,57629936,46285143,36431998,34892983,26831804,26817475,19953913,14288756,14288760 Dl.O(d2) = 20001376,26880477,28180152,32093402,40822970,32060074,32060075,40822972,50945503,62552371,53676715,43166578,34083341,26222700,19508400 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13045384, s2 = 15300638, dlinesl.size( ) = 22 s1 = 10638022, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10638022, s2 = 3893041, int(edited[s2]) = 0 s1 = 10638022, s2 = 3893041, d1 = 64, d2 = 106 Dl.O(d1) = 981893,552858,552859,981898,1727175,2975981,2979942,1729830,1729828,2979936,2975771,1729684,1729682,2979735,2979481,1729553,1729086,1729085,2978839,1729352,1729351,1732728,1727799,982197,552992,552991,982192,1727786,2976909,4934179,2984094,2976552,2976553,2976448,1727472,982027,982028,1727477,982321,982318,1728019,2977217,4934560,7783436,254804793,4934047,2976771,1727680,982142,982139,1727677,2976766,2984129 Dl.O(d2) = 140324887,126969693,271769018,85198128,71633246,71633247,85198132,259954221,113110899,113110901,261132113,153023735,164862163,175618602,184733625,262652358,175157273,184733466,175157503,164366208,153023808,140324931 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10638022, s2 = 3893041, dlinesl.size( ) = 30 s1 = 14351270, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14351270, s2 = 14370742, int(edited[s2]) = 0 s1 = 14351270, s2 = 14370742, d1 = 1, d2 = 4 Dl.O(d1) = 28364683,28364682,36862961,46649086,36763851,36763852,46649089,47298938,49839581,59216903,47818551,38430224,29869112,29869111,38430222,30047062 Dl.O(d2) = 40906176,40906177,40906193,32129498,24549371,18113390,12843940,12843939,18113388,18113415,12843953,8734281,5686289,3537312,2105588,2105587,3537309,5686283,8734269,268272569,24916383,28600156,34191153,34191151,43288207,50336578,50336503,50336504,50911245,40794121,40794120,50911240,257438378,33982318,33982317,43039786,53518054,65541974,61819658,50336469,40310545,31622106,31622107,40310546,256870778,51316544,41132939,32319166,32319165,25111375,25111376,32814448,32036436,24473497,18052942,18052941,24473493,32036431,40794101,50911214,50336567,40310669,31622200,31622199,40310667,50336563,61819728,62511630,50911234,50911233,41132943,41132944,40794069,40794068,50911175,50336600,40310705,31622224,31622223,40310702,46926882,41132978,41132977,51316592,258061400,84839055,98766312,98766313,89177166,258686026,59817387,59817388,58292586,49229346,39302357,39302359,49229351,40794096,40794097,50911223,62511619,58292574,58292573,50911197,40794082,38523802,29958656,22594166,22594165,29958653,38523792,48431550,59817412,67731175,60630322,58364120,46994045,37108833,37108834,32028864,32028865,40785472,50902023,62502316,62213258,62213256,62502321,73375750,60630268,60630267,60630334,60630333,73375781,62511599,50911181,50911182,58292589,48431521,38523776,38523777,48431525,39302362,30704637,30704638,39302364,49229296,40793147,40793146,46833964,50910176,44543604,35165899,35165898,44543599,38523796 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14351270, s2 = 14370742, dlinesl.size( ) = 2 s1 = 14351270, s2 = 14370742, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14351270, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14099249, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13045492, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15326873, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15326873, s2 = 11178576, int(edited[s2]) = 0 s1 = 15326873, s2 = 11178576, d1 = 41, d2 = 36 Dl.O(d1) = 261085785 Dl.O(d2) = 257564075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15326873, s2 = 11178576, dlinesl.size( ) = 46 s1 = 15326876, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15326876, s2 = 6498992, int(edited[s2]) = 0 s1 = 15326876, s2 = 6498992, d1 = 51, d2 = 28 Dl.O(d1) = 37810722,29246073,21925960,21925961,17125674,17125675,16936484,16936486,23207449,23207450,30630118,23207226,23207224,23207715,16936653,11853587,7922369,5036658,3049517,1776572,1012883,1012884,1776575,3049526,5036671,7922389,11853622,16936337,16936336,23207254,29986085,22618767,22618765,23207196,23207340,16936392,11853416,11853415,16936382,23207211,16936304,11853364,11853362,16936301,23207206,29294809,21968013,15874224,15874225,21968021,18565039,13192589,11853551,11853549,16936515,11853504,7922326,7922324,11853498,16936507,23207494,30630435,23207650,16936611,11853564,7922356,5036652,5036651,7922350,11853559,11853600,11853601,11853613,16936686,23207757,30630234,23207312,23207311,30630231,38555597,30630298,23207363,16936406,11853425,7922282,5036617,5036616,7922276,7922287,11853433,270334972,39228210 Dl.O(d2) = 255255041 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15326876, s2 = 6498992, dlinesl.size( ) = 28 s1 = 11412691, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11629343, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11629343, s2 = 12059017, int(edited[s2]) = 0 s1 = 11629343, s2 = 12059017, d1 = 78, d2 = 127 Dl.O(d1) = 267372304 Dl.O(d2) = 157916685,169339338,179586455,187141370,272989164,155741220,143188893,129860194,115962862,101919008,87946548,74344239,61567048,50086875,40065367,31382634,23885851,17539361,17539360,13707682,13707683,19193094,19193098,13707685,9388774,9388775,13707687,19193100,25848015,33652441,42682773,53134010,65119619,78402060,92438357,106743420,106743421,106743419,106743418,120995983,134791988,134791989,134791986,134791985,147909784,160157886,171377086,181398544,181398542,181398541,190200567,197800690,204276593,209679541,264888501,217752323,220789943,223376087,225611472,227555621,229256173,230759309,232099631,233307323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11629343, s2 = 12059017, dlinesl.size( ) = 46 s1 = 11129637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11129637, s2 = 7900046, int(edited[s2]) = 0 s1 = 11129637, s2 = 7900046, d1 = 29, d2 = 25 Dl.O(d1) = 261418841,159127267,262673473 Dl.O(d2) = 99851742,113869361,271085830,99851744,85896917,72304186,59570162,48184097,48184096,59570161,72304196,72304205,72304204,72416516,72416515,254456492,51754407,61504164,61504165,59762914,48380274,48380275,48447303,38538684,29972456,29972459,37119845,37119846,47005972,41484115,32605231,28609681,23838113,23838114,31329502,39364181,30762839,23339801,17073526,11985447,8035411,5125138,3114284,3114283,5125136,5152305,3136379,3136380,3136384,5152313,8060107,8080517,11959519,11959518,8051566,5142221,5142220,8012852,5101342,3096504,3096507,4080594,5139501,8012851,8012849,8023180,5112159,3104429,3104415,3104414,5112145,254362162,3126179,1838679,1838677,3143620,3145483,1839931,1050104,1050103,1838579,1049236,590293,329303,181472,181474,329310,254131183,1838606,3143499,267903341,5149592,5170006,8075237,8022740,8022739,8015340,254380863,3098115,5103681,3148456,3148457,5106928,5106931,3117280,3117282,3137664,3137662,5120871,3111062,1820382,1820379,1822686,1040444,1040443,1051446,1842506,3149420,3107944,1816070,1036974,1036971,1816063,1816044,1816045,1816230,1816228,3108179,3098150,1810168,1810169,3098152,5103732,254821691,8069009,254817258,11993221,8067252,5161175,3144349,1839162,1839163,1839176,1839178,3132789,5121118,3115296,3115297,3144376,3144374,5161203,3158840,3158841,5123660,3113104,3113107,1819191,1819193,3113116,3135686,3135687,5147282,3132029,3132027,5147277,5161833,3151580,1843914,1843913,3151478,3151479,5169448,5227703,3189460,3189459,5176959,5149142,5149143,5151368,5143585,5143586,8042436,5132943,3120671,3120672,3098449,3098448,5104157,5104145,5104146,5146489,5165708,3147937,3147936,5147830,5147831,8048519,5138769,3125191,1826841,1042740,1042741,1815749,1036805,584063,584064,1036806,1815224,3106578,3118233,1822406,1040300,254177539,3118229,3133851,1838680,1049302,590328,329318,181478,99632,99630,181474,329310,254131183,1838606,3143499,267903341,5149592,5170006,8075237,8022740,8022739,254824501,8058612,8062911,11996330,11328078,7524398,5102219,3157803,3157802,5176558,5177122,3158323,1848680,1848682,1848710,1055031,1035216,1035214,590405,590403,1049469,1838991,254571369,5135423,254256789,1825101,1825184,1869614,1869617,3105319,1824650,1041531,1041530,1046785,1834307,1837408,1048529,589913,589912,1048524,1837399,3105290,1814450,1036100,583729,583730,1036103,1814456,3105299,3121905,1824695,1041551,586458,327528,327526,586452,1041541,1824675,3121880,5134688,5176747,8081114,8048374,5138589,5138590,5147963,8056808,5150422,3148456,3148457,4678824,2818812,1635370,1635371,2818853,4678890,5153576,4678911,2818867,2818866,3104880,3104881,3105293,1814453,1814451,1830899,3131912,5147146,8056135,11994985,12007966,11493419,11493420,11970891,11907704,7964722,7964721,11907703,12009190,8066437,8066435,7464814,7464815,8075976,8075975,8076035,5171063,3153033,3153031,5114819,3106488,3106489,5114822,5119553,5119554,8030369,11981838,8066121,5175405,5144712,5144710,254129488,17083797,11996034,8048140,5138368,3124836,1826597,1042606,1042608,1826602,3124844,5138381,5162777,8068568,10772192,15572995,11903720,7961484,7961483,11903719,15573070,21600468,15665523,15665522,21707370,17024129,17024130,17908828,17029566,17029567,17103597,17103600,23372322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11129637, s2 = 7900046, dlinesl.size( ) = 14 s1 = 4409374, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 4409374, s2 = 4652683, int(edited[s2]) = 0 s1 = 4409374, s2 = 4652683, d1 = 19, d2 = 14 Dl.O(d1) = 173473518,183280455,191855128,263114570 Dl.O(d2) = 202117551,195218348,187147466,177875972 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 4409374, s2 = 4652683, dlinesl.size( ) = 2 s1 = 4409374, s2 = 4652683, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 4409374, Dl.E( ) = 26, 8.82e-06 seconds used appending s1 = 10469964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11112275, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11112275, s2 = 11079802, int(edited[s2]) = 0 s1 = 11112275, s2 = 11079802, d1 = 14, d2 = 7 Dl.O(d1) = 254770164,22260662,23192989,258825189 Dl.O(d2) = 128137108,114250632,100216756,259280176 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11112275, s2 = 11079802, dlinesl.size( ) = 34 s1 = 11368507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11368507, s2 = 11184850, int(edited[s2]) = 0 s1 = 11368507, s2 = 11184850, d1 = 32, d2 = 25 Dl.O(d1) = 260872655 Dl.O(d2) = 257200719,33214318,25466860,18866635,18866633,25466857,33214313,42173798,52531726,52533856,52533859,64406919,77574826,64406906,52533860,42176380,33217826,25471090,18870756,18870755,25471088,33217821,42176370,257791021,77574824,91505729,100513933,100513934,95108686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11368507, s2 = 11184850, dlinesl.size( ) = 42 s1 = 14358348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14563348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10734894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14358420, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11613511, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11557963, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557963, s2 = 11598398, int(edited[s2]) = 0 s1 = 11557963, s2 = 11598398, d1 = 0, d2 = 21 Dl.O(d1) = 232181692 Dl.O(d2) = 237935329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557963, s2 = 11598398, dlinesl.size( ) = 52 s1 = 15329211, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15329211, s2 = 12558656, int(edited[s2]) = 0 s1 = 15329211, s2 = 12558656, d1 = 10, d2 = 7 Dl.O(d1) = 235967749,235023765,235023764,233986452,232847708 Dl.O(d2) = 232847711,231589280,230186020 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15329211, s2 = 12558656, dlinesl.size( ) = 2 s1 = 15329211, s2 = 12558656, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15329211, Dl.E( ) = 14, 1.19e-05 seconds used appending s1 = 11325385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11325385, s2 = 12920328, int(edited[s2]) = 0 s1 = 11325385, s2 = 12920328, d1 = 9, d2 = 14 Dl.O(d1) = 123973126,109833680,95629884 Dl.O(d2) = 109833678,109833684,109833683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587915, s2 = 8822227, int(edited[s2]) = 0 s1 = 11587915, s2 = 8822227, d1 = 81, d2 = 64 Dl.O(d1) = 274632522,267086691 Dl.O(d2) = 265195677,224397000,265312470,224397004,221975032,265114260,219154751,215814474,211775852,211775851,211775835,206833188,200851839,193764410,185499059,176027533,165335472,153545144,259712932 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587915, s2 = 8822227, dlinesl.size( ) = 92 s1 = 11281815, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13030571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13179386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13031003, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13031003, s2 = 5744002, int(edited[s2]) = 0 s1 = 13031003, s2 = 5744002, d1 = 6, d2 = 8 Dl.O(d1) = 244368883,244145780,267222478,243371614 Dl.O(d2) = 236716274,236230768,235316163,234312690,233210645 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13031003, s2 = 5744002, dlinesl.size( ) = 2 s1 = 13031003, s2 = 5744002, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13031003, Dl.E( ) = 12, 5.01e-06 seconds used appending s1 = 14358550, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654751, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11644785, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13047998, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16371904, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13048356, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14358676, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14358676, s2 = 13416258, int(edited[s2]) = 0 s1 = 14358676, s2 = 13416258, d1 = 47, d2 = 43 Dl.O(d1) = 232070734,233281374,233281376,233281375,233281378,233281377,234376995,234377000,234376993,233281382,233281381,233281378,233281377,234376995,266411966 Dl.O(d2) = 64792144,52873354,42469565,257220007,42469568,33475983,33475982,42469566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14358676, s2 = 13416258, dlinesl.size( ) = 2 s1 = 14358676, s2 = 13416258, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14358676, Dl.E( ) = 50, 3.29e-05 seconds used appending s1 = 13032249, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361093, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11314489, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16375629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16375629, s2 = 10555419, int(edited[s2]) = 0 s1 = 16375629, s2 = 10555419, d1 = 30, d2 = 39 Dl.O(d1) = 239439159,266851912,239558899,239558898,239558901,240108396,240108393,240108394,240617681,240108400,239558904,238963915,238316500 Dl.O(d2) = 264461108,201686666,194730790,186607552,177283339,166727919,155028615,142381022,129005441,115078577,101007453,101007448,87013927,73398407,60652043,49251641,39325400,39325399,30727618,30727617,39325396 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16375629, s2 = 10555419, dlinesl.size( ) = 18 s1 = 10858734, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14358783, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14358783, s2 = 12662768, int(edited[s2]) = 0 s1 = 14358783, s2 = 12662768, d1 = 9, d2 = 12 Dl.O(d1) = 234343739,235343679,235343678,235343677,274741418,266057835 Dl.O(d2) = 213926060,217590681,265296319,265296321,220649150,217590686,213926064,264362037,197502922,189845742 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14358783, s2 = 12662768, dlinesl.size( ) = 2 s1 = 14358783, s2 = 12662768, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14358783, Dl.E( ) = 14, 5.96e-06 seconds used appending s1 = 13049280, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11194747, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11072179, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12557821, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13212895, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15282658, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282658, s2 = 11487002, int(edited[s2]) = 0 s1 = 15282658, s2 = 11487002, d1 = 0, d2 = 0 Dl.O(d1) = 273514106,177638575,263056324,155506372,142957336,129630572,115734783,101690171,87716607,74110656,61327997,49845002,39821554,31139017,23651608,17334618,17334617,23651607,31139016,25879636,19220500,13729833,13729832,15595550,20295635,14564289,10021858,10021857,14564274,14608414,14608413,11949343,11949342,17034838,22719871,16514862,16514860,18671667,13279736,13279735,16439866,11454291,11454289,13462338,12742858,12742857,17980446,18046215,20911812,15006633,10336616,10336614,11340229,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,4126240,2468354,2468350,4126228,6585891,10020276,10052124,10052119,14608578,20352181,15047488,15047487,20956396,28134360,255004128,14607749,10051585,6604942,6604943,10051587,14607752,255763591,22464379,16296052,11338268,11338269,14958602,17027230,17027229,19445600,26142762,30896806,28892712,28040619,20872602,20872601,14970544,10302765,10302764,10787888,10787886,15594363,17489941,23827481,25267200,18695399,13302290,11515620,11515622,12331331,12331330,17489358,14991614,14991616,15051962,14406372,9908835,8190685,5259932,5259935,8190698,10045301,9113200,5962728,5962730,9113219,8240173,5312283,5312285,8240180,8335927,8335925,7451239,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602625,8240328,5312382,3262074,1916931,1094893,614654,341696,341695,614650,614658,1094905,1916957,3262130,5312486,8240429,5312448,3262109,3262108,5312443,8240418,5312453,5312452,8240432,12209156,17334616,23651605,31139014,39821551,49845000,61327991,61327992,74110652,87716606,101690169,115734782,129630571,142957334,155506371,167139243,167139244,177638573,177638574,186920089,195006137,201926581,207749929,212552366,264901297,210187822,210187821,210187819,204923934,198572917,191078259,182371040,172413665,161205434,148890419,135642154,121698386,107317378,92912876,78806803,65476669,53456744,42982415,33928791,26095589,19406346,13883341,9525585,6248261,254307947,1356852,773644,439331,247827,247825,439366,773758,1357183,2342736,3913260,6250645,254948507,19408840,26097912,33931258,257248179,65480783,74055423,269310714,39776219,31097948,23614218,23614219,27132690,27132691,21394724,15409448,15409447,21394722,23025665,16783966,16783965,15386795,15386796,21366205,28599275,31322489,27132684,27132685,31097961,23614231,21394744,17681729,12504646,12504645,17681724,24032718,23832024,17493482,17493480,21369549,255529016,8332578,8332570,6564320,267948603,14514571,20226925,268382731 Dl.O(d2) = 273514106,177638575,263056324,155506372,142957336,129630572,115734783,101690171,87716607,74110656,61327997,49845002,39821554,31139017,23651608,17334618,17334617,23651607,31139016,25879636,19220500,13729833,13729832,15595550,20295635,14564289,10021858,10021857,14564274,14608414,14608413,11949343,11949342,17034838,22719871,16514862,16514860,18671667,13279736,13279735,16439866,11454291,11454289,13462338,12742858,12742857,17980446,18046215,20911812,15006633,10336616,10336614,11340229,11340226,15588246,10783554,10783553,10266399,10266401,14929651,19900626,14599505,14599503,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,11516493,7660794,4846942,3723017,2229208,2229213,3723085,4766770,4766774,7535515,8190252,8190254,11339807,10727608,7087765,7087768,10727642,14969107,12906534,10020294,6585906,4126240,2468354,2468350,4126228,6585891,10020276,10052124,10052119,14608578,20352181,15047488,15047487,20956396,28134360,255004128,14607749,10051585,6604942,6604943,10051587,14607752,255763591,22464379,16296052,11338268,11338269,14958602,17027230,17027229,19445600,26142762,30896806,28892712,28040619,20872602,20872601,14970544,10302765,10302764,10787888,10787886,15594363,17489941,23827481,25267200,18695399,13302290,11515620,11515622,12331331,12331330,17489358,14991614,14991616,15051962,14406372,9908835,8190685,5259932,5259935,8190698,10045301,9113200,5962728,5962730,9113219,8240173,5312283,5312285,8240180,8335927,8335925,7451239,4707896,2836118,2836121,4707854,5929117,5578405,5578406,6603432,4231541,4231542,3816530,2286372,2286373,3816534,6099820,5401210,3320873,1953375,1953378,3320889,5401255,8369020,12384998,14958880,10954761,7250541,4572139,2750398,1594231,906284,906282,1594222,2750376,4031829,2416224,2416229,4031801,4031796,6426289,7702223,7702219,6602621,6602625,8240328,5312382,3262074,1916931,1094893,614654,341696,341695,614650,614658,1094905,1916957,3262130,5312486,8240429,5312448,3262109,3262108,5312443,8240418,5312453,5312452,8240432,12209156,17334616,23651605,31139014,39821551,49845000,61327991,61327992,74110652,87716606,101690169,115734782,129630571,142957334,155506371,167139243,167139244,177638573,177638574,186920089,195006137,201926581,207749929,212552366,264901297,210187822,210187821,210187819,204923934,198572917,191078259,182371040,172413665,161205434,148890419,135642154,121698386,107317378,92912876,78806803,65476669,53456744,42982415,33928791,26095589,19406346,13883341,9525585,6248261,254307947,1356852,773644,439331,247827,247825,439366,773758,1357183,2342736,3913260,6250645,254948507,19408840,26097912,33931258,257248179,65480783,74055423,269310714,39776219,31097948,23614218,23614219,27132690,27132691,21394724,15409448,15409447,21394722,23025665,16783966,16783965,15386795,15386796,21366205,28599275,31322489,27132684,27132685,31097961,23614231,21394744,17681729,12504646,12504645,17681724,24032718,23832024,17493482,17493480,21369549,255529016,8332578,8332570,6564320,267948603,14514571,20226925,268382731 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282658, s2 = 11487002, dlinesl.size( ) = 2 s1 = 15282658, s2 = 11487002, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15282658, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 10686946, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10686946, s2 = 11516178, int(edited[s2]) = 0 s1 = 10686946, s2 = 11516178, d1 = 68, d2 = 114 Dl.O(d1) = 7795123,7789330,7787963,7787962,5365897,3298720,1940121,1940122,1732522,1732523,2984171,4944487,7797186,11679568,254553057,2981341,1730648,983851,553867,553868,983819,1730589,2981219,4935698,2982568,2982569,2982559,2982558,4942384,7794643,267795678,7788779,11677897,7794790,7794791,7786674,7786673,7792687,11677206,11677205,16718954,22954689,16718096,11676212,11676211,16718093,13410217,11677159,11677158,7786802,4936579,2978644,2978643,4936575,7786795,11678276,16140854,11877515,7940179,5049860,5049861,7940180,11877516,268096399,7786584,254567104,8037900,11986979,11688973,11688976,11922168,11922167,11911869,7968032,5069759,3073440,3064498,1786373,1786371,3064489,5058136,3064533,3064530,3053078,3053080,5042438,7931628,5078811,3080535,1797868,1025933,578072,323391,323392,578076,1025938,1797880,3080564,5078860,5078759,5078760,7979893,11925997,11902254,7960251,7960250,11902251,16965984,11877845,11877844,16965980,254383966,7948157,7948158,11888150,16975404,11893974,11893885,7953090,5058368,5058370,5058356,3064758,3064759,5058619,5058415,3064627,3064626,3077089,5074385,7974173,11919612,16140388,22283983,16980924,16980923,23246553,30356805,30689883,30660256,23241644,23241645,254568686,7984800,7984799,11931842,17016249,23275388,23239453,16969182,11881221,7942866,5051348,5051347,7942864,11881214,7982275,7982277,11928897,16984314,17006523,17006522,15653400,10834553,7978357,5077572,5077575,7978363,7978678,7962457,5065299,5065296,5065366,3069563,3069564,5065370,3314762,3314761,5390575,8351699,12360688,15716344,16967951,11931196,7984277,5081544,3082006,2723930,1798600,1798602,3082020,5081568,7984317,11931242,16366163,16366162,11931857,11931855,17008409,11922108,7976272,5075797,3078034,3078035,3315493,5391787,7957975,7957974,8347911,8347914,12355751,12154865,8185254,8185253,7231659,4558142,4558144,5388617,3313527,3313525,5388611,7717236,7717237,7944155,5052185,5052187,7944160,7780275,7780274,11671097,16712722,17003466 Dl.O(d2) = 274202879,216259289,216259291,212299939,207454213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10686946, s2 = 11516178, dlinesl.size( ) = 24 s1 = 11261893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11261893, s2 = 14926963, int(edited[s2]) = 0 s1 = 11261893, s2 = 14926963, d1 = 1, d2 = 1 Dl.O(d1) = 91414366,77483747,64319926,64319927,254648602,52452445,254919636,42099685,33145554,33145533,25405355,18815409,18815410,25405357,33145537,42099655,46269971,46269970,254298682,33145534,33145535,42099652,52452415,64319896,64319898,77483720,255661070,52452413,52452414,64319895,77483719,91414340,98440162,98440163,112428932,256124404,255258906,91414342,77483721,267931028,105640122,119878730,105640133,91414355,91414356,105640135,119878744,133748981,133748982,146999188 Dl.O(d2) = 91414366,77483747,64319926,64319927,254648602,52452445,254919636,42099685,33145554,33145533,25405355,18815409,18815410,25405357,33145537,42099655,46269971,46269970,254298682,33145534,33145535,42099652,52452415,64319896,64319898,77483720,255661070,52452413,52452414,64319895,77483719,91414340,98440162,98440163,112428932,256124404,255258906,91414342,77483721,267931028,105640122,119878730,105640133,91414355,91414356,105640135,119878744,133748981,133748982,146999188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11261893, s2 = 14926963, dlinesl.size( ) = 2 s1 = 11261893, s2 = 14926963, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11261893, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 16350837, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11624475, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11595535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11595535, s2 = 15041101, int(edited[s2]) = 0 s1 = 11595535, s2 = 15041101, d1 = 11, d2 = 29 Dl.O(d1) = 266904963,240994646,267044499 Dl.O(d2) = 242918235,242918236,243224493,243224496,243224495,243510898,243224482,267137746 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11595535, s2 = 15041101, dlinesl.size( ) = 38 s1 = 11118673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11377607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11497229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10533264, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13035647, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13035673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13474803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13474803, s2 = 16286108, int(edited[s2]) = 0 s1 = 13474803, s2 = 16286108, d1 = 93, d2 = 131 Dl.O(d1) = 107091321,258292004,88244395,78687597 Dl.O(d2) = 271778582,85033472,71461548,257462265,37436751,28895952,21620330,15589970,10784801,7125818,7125819,10784803,267884607,1561551,1561550,2695444,4486365,7125821,7129792,267884643,2696579,254741149,15599590,21620335,28895956,21630477,15599381,10791338,10791339,15599382,15599371,15599370,15599387,255045205,10791327,15599365,255045209,10791359,15599369,21630469,28904780,28904776,28904775,37444086,47350696 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13474803, s2 = 16286108, dlinesl.size( ) = 8 s1 = 11273611, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519083, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519083, s2 = 6974003, int(edited[s2]) = 0 s1 = 11519083, s2 = 6974003, d1 = 72, d2 = 86 Dl.O(d1) = 265794309,230690600,232037696,233251196,234350190 Dl.O(d2) = 260816022,77359997,269946384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519083, s2 = 6974003, dlinesl.size( ) = 96 s1 = 11601359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601359, s2 = 7523547, int(edited[s2]) = 0 s1 = 11601359, s2 = 7523547, d1 = 39, d2 = 51 Dl.O(d1) = 266693006 Dl.O(d2) = 245861311,245973288,246078461,267473376 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601359, s2 = 7523547, dlinesl.size( ) = 26 s1 = 14847443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158221, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15893209, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14048395, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14048395, s2 = 11656927, int(edited[s2]) = 0 s1 = 14048395, s2 = 11656927, d1 = 10, d2 = 3 Dl.O(d1) = 28272014,21069147,15134123,15134124,21069148,28272016,36766928,46651606,46647199,36761490,36761488,36766953,255028860,254497696,10438011,15134131,21069163,22793712,22793713,30183265,38577916,30007017,30007019,37431760,47339675,58246728,59616700,48229942,38320115,29751093,22391302,16232180,11284744,7491769,4735307,4735309,7491773,11284749,16232188,22391314,22500891,22500890,29863227,38426637,36974690,28476920,21476116,268242680,17155958,21454195,15455454,10686186,10686187,8383927,5410296,3325883,3325882,5410281,6061059,6061055,8366630,8366626,9253751,9253750,6064184,6064185,5197362,3171008,3171011,5197373,6961645,6961646,5403077,3321945,3321949,5403007,5403006,6053315,3787941,3787938,3793912,3793908,4450318,3792625,3792629,6059201,6059200,6060479,9253642,13497867,13497868,18933319,25546081,33307686,25568545,25568546,21263498,21263499,15303167,15303166,16801743,13497685,13497686,18933117,25545916,18970544,13535332,9265123,9265125,13535335,18970547,25578826,25546486,25546487,31026662,268392614,48018715,59405610,63277946,63277947,76299731,269319704,256339240,36720608,36720609,31277067,23791290,17459658,12308490,12308489,17459655,23791288,31277062,38934607,30348890,22947448,22947449,22654357,16461921,16461920,22654354,16710546,16710547,22946954,30348358,38934061,38835507,30251737,22856880,22856879,30251735,38835477,38835478,38601020,30027927,30027926,38601018,268963057,48853888,47929164,47929165,270316730,72055902,85643070,72055905,257594073,39207429,30611259,30611260,39207431,48854980,48854979,40889046,32115336,24538039,18104653,18104652,24538036,28932949,28932950,37474494,47381892,58769088,70699331,57981499,46604454,46604455,256174990,84251068,72007371,59271521,59271523,72007376,85594323,99541464,259997618,270578016,108694547,259722582,260058010,259136025,108694552,113553062,99541462,94407475,80353235,66927216,66927217,270634601,80353232,259136023,108694549,108694553,108694545,108694544,122959954,122959960,108694556,94407477,80353241,66927220,66927221,70722176,259136027,66927213,54670706,54670704,49028350,49028351,54670712,43928329,34655083,26663462,19848585,19848584,256726069,54670701,258507139,66927234,54670724,43928335,43928336,54670726,66927206,66927242,257585838,34655091,43928339,54670732,54670721,54670720,60252014,257686296,66927232,80353248,94407483,260058012,80353258,80353252,80353251,80353242,66927223,54670714,43928330,43928331,43928341,43928334,34655088,256726071,54670718,62635648,258322739,80353250,80353246,80353245,94407480,259441180,270350294,54670735,54670736,269803834,258096453,85421747,271324947,271146394,86677802,258528292,62011887,60332746,256999847,30421938,23016603,16776391,16776390,268419425,39011415,48934890,39011424,39011425,257580243,48934900,48934902,60332743,73073207,73073197,60332736,258188127,258188776,258772581,73073208,73073209,86677796,86105032,72506284,59772186,48389244,38486329,38486330,48389245,59772187,72506285,72506262,59772160,48389211,38486332,38486331,48389247,59772191,72506290,59772192,48389249,38486333,38079913,38079914,47992603,38595607,30022832,30022831,38595606,48510495,59322823,47930680,38486299,29925807,22565925,16385712,11404223,11404224,16385714,22565956,29925845,29925805,22565923,16385684,11404210,11404211,16385686,22565927,29925809,29925841,268964512,22120187,16006489,11112456,255075015,11112455,11112454,16006487,22120184,256382433,28229902,21032867,21032866,28229901,28497813,28497812,256756538,46275222,57619622,70310068,83835114,71286555,70958127,58241436,46873920,46873919,58241435,258663687,84521554,71286585,71286584,83835142,70310099,57619647,47165520,37259626,28727723,28727724,37259628,47165525,258061285,84861094,259932135,111611561,97692978,83835121,70310076,70310077,83835124,84861086,71286546,58554453,58554452,71286545,84521548,98443160,112431990,112431969,98443135,84521509,259290355,112431966,116001474,116001476,101957052,101957053,87984199,87984145,74381624,61605143,61605142,61605138,50125207,40105022,31425105,31425106,40105023,50125208,61605123,74381600,87984124,258885928,258263302,99799290,85847083,269810073,59522118,72255845,258263304,61562338,61562337,61605167,50125223,40105036,31425115,31425117,40105039,50125202,50125200,61605133,74381616,87984132,75324964,62425243,62425242,59400341,48017401,38107224,38107225,48012734,48012733,258120353,85715463,80293070,258117146,54605466,62425241,50841498,40735525,31986714,31986715,40735529,50841501,62425245,75324968,89053954,93217382,79100988,65745113,61562339,50081901,50081902,61562343,59404350,48017408,256398566,34093320,26231229,19515313,16071763,16071764,22200774,29544007,38107222,42147661,257198237,258033162,64060855,52219341,52219340,269307638,74114959,61332536,49849370,39825702,31143247,31143245,37156299,37156318,42003288,33059746,25330611,25330612,33059748,42003293,52342219,64192274,268379272,84713645,256844706,84558299,70994809,58280168,46914749,37037170,33188318,25442795,18846071,268296625,33188315,33188309,25442790,25442789,33188304,40793668,40793667,268913866,32036138,24473297,24473296,32036135,31143250,23656033,23656032,31143249,39825705,46522447,36655264,255816410,25330615,18750731,255021640,33059751,42003296,42003274,269073463,77339313,77547682,269307640,42147645,33188295,25442784,18846062,13427499,13427498,9180599,9180600,13427506,18846074,25442798,33188320,42147640,36492809,28030363,28030364,33059722,25330589,18750705,18052828,18052827,24473299,21671028,21671029,28950872,36492803,28030359,28030356,36492799,33059760,25330621,18750737,13349418,13349417,18750733,25330584,20862926,20862927,28030341,36492793,46350521,42003268,33059710,25330579,18750694,18750681,18750683,25330566,28538650,25330592,18750709,18750710,255021638,20997140,28179209,255021632,28030345,20862930,20862931,28030348,33059741,33059764,255816402,37493276,28950867,28179237,20997174,20862937,14961053,14961055,20862940,14961058,255360827,25442776,25442775,33188282,36655250,28179219,255254492,36492790,33059655,33059654,255800512,18750699,13349396,9121703,5968740,3732750,3732751,5968742,9121706,13349402,13349410,13349411,18750721,25330601,33059735,37075241,28572122,21344055,21344056,28572125,25330628,18750740,13349420,13349421,18750725,18750726,25330608,20862933,14961050,10293604,6767072,4241000,4241001,6767079,9180593,255174151,23829661,18750636,18750637,18750627,13349329,9180609,6008924,3758353,3758352,6008922,9180604,13427515,10408527,10408525,15091459,12770491,12770490,18018303,12770575,12770576,18018437,24431757,18018495,18018494,255021634,33059766,33059767,255816406,18750747,25330636,33059775,33059670,25330531,18750653,13349356,12770569,12770570,13427490,13427489,12770572,12770573,13349342,13349340,13427518,13427519,18846080,25442802,33059657,28204494,21012346,254716302,28572131,21344061,21344062,25330499,18750618,13349323,9121660,5968708,5968709,9121663,13349327,18750624,25330501,18846075,13427508,13349432,9121722,5968751,3732756,3732757,5968755,9121729,13349355,9121681,5968724,3732742,3732743,5968726,8680268,5648205,4433605,2661804,267825039,254733519,15429687,21420580,28666854,37188098,42003309,52342231,58315473,46948616,37069140,37069141,42003243,33059671,31890923,24363059,17967709,15365618,15365619,21339753,28567026,37033813,28535785,21313000,18018501,12770624,8680300,5648231,3511441,2087717,1200468,1200469,1247928,2156867,2087713,2087712,254425349,8680255,12770551,18018397,24431689,31986703,40735509,50841483,62425233,75324955,89053946,103124842,102266448,102266447,116360257,121993686,129856713,115959277,103124830,89053937,89053935,103124828,117241073,131039264,135919971,121993668,121993667,272752881,156063998,143527649,143527645,130198435,130198437,130198444,121993693,107620211,107620210,121993692,116360289,102266497,88268329,258284527,50361677,40334364,40334365,50361680,58870216,58870217,270302631,99082895,113071546,121993682,107620199,93217370,257520584,65745100,79100975,88268344,74638266,74638267,85159561,85159562,99082909,113071548,113071553,123652011,123652012,137383360,126925673,113071577,99082935,99082936,113071579,123652015,123652016,128804509,114907355,100856761,86876048,73263952,60518649,49116864,257592651,73263947,86535453,72937205,60197983,48801048,48801047,48801063,48801062,60197998,72937216,81147256,67681198,67681197,81147253,81147264,95204617,109459441,123652005,114518030,100494193,86535480,72937227,60198007,48801073,38878716,30292706,22894289,16664522,16664523,22894292,30292709,38878719,48801076,257592608,48890533,60284004,49341230,49341229,60744346,257316594,81196874,91800589,77878275,77878274,81196889,67731398,55391079,44543759,35166084,27078378,20181473,20181474,27078380,35166087,44543762,256753644,81196895,76811778,63710464,63710463,52926804,52926803,59304080,59304079,72039981,85628093,99578229,103385678,90901075,77021491,63910131,63910132,64688669,268830050,42375484,52774452,64688673,60744322,60744323,73493343,60834752,55421528,55421529,67761473,81227538,70737942,70737943,84289608,81227566,67761505,55421561,55421562,67731401,67731400,81196891,95208891,81151832,67686125,55346483,49432874,39501720,30894409,30894408,39501716,41927761,41927760,52266409,64115303,70738000,70737999,73490895,87109715,101107956,95285115,81227568,81227569,90901053,87112033,73493358,73493359,87112036,81196884,81196883,87112032,73493357,73493355,67761477,55421531,44574316,44574317,55421532,67757820,67757821,73283962,73283960,64688654,52774444,42375480,36766342,28271387,21068597,21068596,28271384,36766333,256228432,67761524,55421578,55421579,49432867,49432868,60834745,58023655,58023656,70737926,84289585,84289626,84289624,77021456,63910098,52091300,41777799,41777800,44543747,55391062,67731374,81196867,77878284,77878285,84289590,81227576,67761526,67761525,67761511,55421569,44574350,35196138,35196107,35196108,44570614,55417785,52091305,52091306,63910105,77021461,67761520,55421577,44574357,44574356,39213444,39213442,49140261,60540152,58023688,46651178,36766347,36766348,36766359,36766358,46651188,58023702,70737978,81196868,84289615,70737956,58023676,50025435,40006872,40006871,46651180,52091310,41777804,32857217,25150310,18593509,18593510,25150313,32857220,41777809,52091315,52091326,60540166,49140269,39213446,39213447,49140273,46651186,36766356,28271399,21068602,15133719,15133720,21068604,28271401,30616745,39213453,44574363,35196143,27106690,27106692,35196147,255333954,58023679,60155007,48761245,48761244,49988869,39972947,31298727,256517897,39972951,49988878,44574335,35196119,255335918,18593524,13213067,9006806,9006805,13213064,18593517,25150326,27107201,35196745,44575047,256228222,36766261,28271333,21068560,15133693,15133694,21068565,28271337,31328708,31328710,40006831,44574376,35196153,27106700,27106699,35196151,44574372,46651131,36766352,28271393,28271394,23837319,17497576,17497577,23376204,30804163,39409052,31328764,23837376,23837375,25150320,25150321,23837321,23837322,23837327,17497602,12337391,8334599,8334598,12337389,17497595,23837354,31328739,31328759,40006878,50025441,60741779,49338555,39409068,30804177,23376220,17106564,12020644,8080259,8080258,12020642,17106560,23376193,23376192,30804145,23837379,17497616,17497615,23837378,31328768,40006889,39409042,30804159,23376199,17106552,268049538,30804151,39409036,49338524,46651244,254693830,21068658,21068659,28271491,31328729,31328728,31328751,23837369,17497645,12337417,8334615,8334612,8334613,12337414,17497639,23837413,31328802,25149910,25149911,28271460,21068639,15133743,10437756,10437755,15133738,21068632,254317758,30091884,22710294,16506324,11502160,11502161,14497211,20203707,27103691,35192686,38669040,37974723,37974722,44570712,36766482,28271543,27204611,22080728,15975081,15975082,22080731,29411230,27103587,20203608,20203607,27103582,35192576,29411260,22080757,22080758,29411263,37974772,32310144,24696908,18227597,12928724,12928728,254693892,32310151,41123091,38669295,30092184,22710560,16506537,16506536,22710556,30092180,38669291,48585357,254693874,35192671,27103681,20203698,14497207,9975228,9975227,14497206,20203694,27103568,20203599,20203597,27103563,35192560,35192574,41123083,32310141,24696902,24696901,32310139,29411156,254981420,30091833,38668965,254981368,16506412,16001027,16001028,22080638,15975018,15975019,22080642,29411138,37974643,37974650,255335932,29411163,37974667,47892525,59288526,72024980,64189677,255532928,37974780,29411283,22080773,16506539,16506538,22080670,16506545,11502317,11089758,11089760,15975016,11089670,7354700,4645934,4645933,7354696,11089663,15975004,14414606,9913667,9913666,14414604,20104372 Dl.O(d2) = 55299706,67637772,269335386,44455118,35080123,35080124,255545820,37876031,29865993,22505215,22505216,29865994,254579022,31585578,24079809,21105383,21105384,255557544,31241486,31241487,268253750,46648960,38331169,268376928,16237965,11289064,11289065,16237967,22399056,28256952,21056094,21056095,28251571,28258532,28258155,21057131,21057130,21057479,15125652,10432713,10432715,15125655,21057484,28254851,21054113,21054114,28254854,28252133,21051613,21051611,25697448,21050115,19078015,19078016,25704560,28248703,28248702,33554941,25765393,21048468,15118861,10428265,6875369,6875370,10428270,15118870,17103941,12018554,12018555,17103947,17478534,17478535,15119405,15119404,11287941,7494591,4737633,4737635,7494597,7424952,7424949,11190385,16110397,21048908,21048909,28249167,22399808,22399807,29761716,22399794,16238549,15123964,15123960,21000880,21000883,21709429,18082281,12821163,12819813,12819810,12819972,18082167,12819487,12819486,18081903,12819322,12819318,12818594,8715547,8715549,12818559,12818608,18080723,12820433,267919699,5673951,8716567,12820427,18083561,24513427,32084005,36751845,28256842,21055981,21055982,28256844,24513014,255216001,8716448,5673904,5673903,8716445,12820185,18083205,24513008,32082918,31034507,30618046,24511292,18081850,18081851,23330678,30753117,38515547,29951068,22587380,22587381,26933588,29421098,22090478,22090479,29421101,30058470,22681683,22681682,24712194,22095274,254686868,11098365,7360256,4649285,4649284,7360253,11098384,9197588,8802113,5733629,3570088,3570081,2128003,2128002,3570066,5733585,8802030,12938046,18239570,24711452,29080405,21782527,21782525,15756633,10912186,10912181,254686942,29130674,37629930,46830171,37985020,29422522,22091865,15984599,254972646,29422520,22316243,21826294,15758610,15758611,21826298,22092101,15984741,11096952,11096953,15984746,22092104,29422801,37985210,40102557,39322788,30828322,30828324,32327841,32327840,32852726,32852727,29493985,23932503,23932502,254686640,44358745,41773447,36882447,28385876,28385875,30828158,30828159,30828298,255739662,32852023,37008652,28510113,21290097,21290098,28510116,32852747,29086395,21788978,15730781,15730780,21788975,29086389,29493610,22154627,22154624,24712088,24712090,32327334,26900174,26899989,26899990,21824311,15757086,10912461,7216999,7217000,10912467,11179531,10913066,10913067,254686616,10912756,15757559,255324618,30057757,23400412,17128277,17128276,23400410,26925665,254470062,26954029,35034099,44408718,37636163,37636164,38631218,35008151,26926408,20040978,20040980,23932088,31422526,29131194,21824149,21824148,26933258,26933256,20052963,14367149,9873296,9873298,14367155,20052974,15756977,10912389,7216958,7216959,10912396,15756989,15757948,254687360,29132487,37693816,35033886,30916757,23479750,17196820,17196819,23479744,24004775,24712717,24712718,28862441,35014568,31422331,23931885,23031225,17045977,17045975,23307267,17128389,17128390,23400591,30828324,32327841,32327840,32852726,32852727,29423173,26937198,23932516,17590084,12416106,12416107,17590088,23932519,31422898,37694286,30057607,22681145,22681143,23932403,21824920,15757567,10912757,10912756,15757559,255324618,30057757,23400412,17128277,17128276,23400410,20040362,20040363,17533814,12366777,12366776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14048395, s2 = 11656927, dlinesl.size( ) = 2 s1 = 14048395, s2 = 11656927, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14048395, Dl.E( ) = 12, 1.79e-05 seconds used appending s1 = 15315568, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15315568, s2 = 11077464, int(edited[s2]) = 0 s1 = 15315568, s2 = 11077464, d1 = 25, d2 = 20 Dl.O(d1) = 262242728 Dl.O(d2) = 257527522,256405178,23172052,16908377,14979623,11833328,11833327,7908360,7908357,6910378,6910379,10481089,7908578,5027334,5027333,7908577,11833702,16909267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15315568, s2 = 11077464, dlinesl.size( ) = 22 s1 = 11300563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11300563, s2 = 3096112, int(edited[s2]) = 0 s1 = 11300563, s2 = 3096112, d1 = 39, d2 = 83 Dl.O(d1) = 112247499 Dl.O(d2) = 17376214,23698324,31188107,39870653,49792437,39772738,39772739,49792439,61271180,70502607,84037532,97907616,85155239,85155238,85155236,85155237,85155241,85155244,85155240,71588038,58865065,47483065,47483064,47483068,37577306,29030113,29030112,32147626,24564553,21739213,15689308,10861236,7180843,4523627,4523626,254746197,15689300,21739206,24564576,18124979,18124978,24564574,32147649,32147604,24564530,268126109,8739744,8739745,12852133,18124944,24564537,24564543,24564542,32147615,40925043,40925027,37793462,29231364,21914596,15831827,15831826 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11300563, s2 = 3096112, dlinesl.size( ) = 36 s1 = 13052386, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13052472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997421, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11484327, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11117377, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15334792, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11469555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469555, s2 = 14323197, int(edited[s2]) = 0 s1 = 11469555, s2 = 14323197, d1 = 18, d2 = 92 Dl.O(d1) = 207360222 Dl.O(d2) = 139574436,139574437,152304197,161698976,261517388,122195420,107789921,93367522,258475554,65240909,269102691,19293934,19293933,256163409 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469555, s2 = 14323197, dlinesl.size( ) = 8 s1 = 15328150, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14359732, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13038783, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11306369, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13039051, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11526445, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11253893, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11253893, s2 = 11590716, int(edited[s2]) = 0 s1 = 11253893, s2 = 11590716, d1 = 15, d2 = 26 Dl.O(d1) = 262329427,265426177 Dl.O(d2) = 266866021,239583265,266918493,239583265,266722388,237641067,266681611 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11253893, s2 = 11590716, dlinesl.size( ) = 22 s1 = 11626979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11623499, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14359845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13039721, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13039721, s2 = 10476586, int(edited[s2]) = 0 s1 = 13039721, s2 = 10476586, d1 = 0, d2 = 3 Dl.O(d1) = 236846235 Dl.O(d2) = 234224753,233109886,231876846,230507045,228967998,227224654,262011884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13039721, s2 = 10476586, dlinesl.size( ) = 2 s1 = 13039721, s2 = 10476586, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13039721, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14359888, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11593073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11593073, s2 = 9255045, int(edited[s2]) = 0 s1 = 11593073, s2 = 9255045, d1 = 45, d2 = 0 Dl.O(d1) = 266679318,235037603,234001328 Dl.O(d2) = 194848219,263605300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11593073, s2 = 9255045, dlinesl.size( ) = 48 s1 = 14149339, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14149339, s2 = 11611860, int(edited[s2]) = 0 s1 = 14149339, s2 = 11611860, d1 = 58, d2 = 15 Dl.O(d1) = 266865607,240633554,241104247 Dl.O(d2) = 242286034 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14149339, s2 = 11611860, dlinesl.size( ) = 54 s1 = 15328277, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11222925, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222925, s2 = 14085232, int(edited[s2]) = 0 s1 = 11222925, s2 = 14085232, d1 = 0, d2 = 29 Dl.O(d1) = 87995477 Dl.O(d2) = 103852261,89748395,258318338,51308565,270984353,270443762,75969439,258318338,41125549 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222925, s2 = 14085232, dlinesl.size( ) = 30 s1 = 14359912, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14046410, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14127412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14127412, s2 = 15324656, int(edited[s2]) = 0 s1 = 14127412, s2 = 15324656, d1 = 22, d2 = 21 Dl.O(d1) = 263223114,262320514,272044620,259719436,87560366,73960234,61181889,61181888,66269355,54133084,43537651,43537652,54133088,66269362,79660181,79579293,79579292,270965659,75516601,79445181,66066742,66066743,79445184,80189271,93868101,84882600,269645650,58575879,66763102,66763103,80189062,71244092,58516874,58516871,54391870,54391871,43708621,43708624,39668091,39558633,30938834,23529702,23529699,30965546,30965549,39606184,44336610,44093704,34769763,34769767,26816684,19953520,19953524,19955005,14289169,9832495,6458839,4048007 Dl.O(d2) = 4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423369,4047983,2423372,2423366,4047988,2423733,2423730,4049288,6447276,6447273,9810545,14276761,19933859,26511941,34444716,43634290,43599015,34421524,26499103,26499107,34421542,43599058,54230181,56196940,66549634,54353901,54353903,66322399,66322577,79722380,271128271 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14127412, s2 = 15324656, dlinesl.size( ) = 16 s1 = 15324655, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15324655, s2 = 14127411, int(edited[s2]) = 0 s1 = 15324655, s2 = 14127411, d1 = 14, d2 = 13 Dl.O(d1) = 271128270,55893124,44944336,35487021,35487026,44944439,42996296,33941667,33941665,26106931,26106934,20603019,20603015,20740314,20565744,20370755,14620439,14620436,10077885,6619256,6619254,6648244,6679437,10077104,10064047,6611558,4182677,2501000,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016 Dl.O(d2) = 1443012,2501008,1443140,1443135,2492977,1439422,1439417,2493011,4170538,6634476,10103297,14690167,20472160,27459988,27467391,27467388,20575109,20575108,27559132,35692817,35692816,45177950,53791292,43270083,43270079,53791302,65856364,68780721,81390667,67919059,55556422,269645651,67919038,75851522,82707324,81417606,81417607,89634396,77825519,64640463,270965658,53641848,53641849,65691474,57438028,57438027,70096305,82414104,81786809,68261758,55829993,55829994,68261760,81345157,259719437,272044621,262320515,263223115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15324655, s2 = 14127411, dlinesl.size( ) = 16 s1 = 12819022, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14360062, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13066536, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11175385, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11060145, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11060145, s2 = 11434992, int(edited[s2]) = 0 s1 = 11060145, s2 = 11434992, d1 = 0, d2 = 18 Dl.O(d1) = 29908946 Dl.O(d2) = 263558039 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11060145, s2 = 11434992, dlinesl.size( ) = 16 s1 = 11117185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389011, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389011, s2 = 11591882, int(edited[s2]) = 0 s1 = 11389011, s2 = 11591882, d1 = 21, d2 = 115 Dl.O(d1) = 159056718 Dl.O(d2) = 266522499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389011, s2 = 11591882, dlinesl.size( ) = 60 s1 = 13056850, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13056850, s2 = 11559058, int(edited[s2]) = 0 s1 = 13056850, s2 = 11559058, d1 = 49, d2 = 6 Dl.O(d1) = 228033607,228033606 Dl.O(d2) = 233585394,266207346 Dl.To( xleft[d1] ).size( ) = 3 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13034259, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14137486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14148179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14148179, s2 = 11447934, int(edited[s2]) = 0 s1 = 14148179, s2 = 11447934, d1 = 68, d2 = 72 Dl.O(d1) = 266547894,234550295,274687074,233468736 Dl.O(d2) = 265140472,214917191,264424914,191956560,183394827 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14148179, s2 = 11447934, dlinesl.size( ) = 78 s1 = 13057462, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13999831, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13057488, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11600755, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10708301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11449997, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449997, s2 = 3567996, int(edited[s2]) = 0 s1 = 11449997, s2 = 3567996, d1 = 25, d2 = 41 Dl.O(d1) = 193005600 Dl.O(d2) = 33371264,42360254,52759874,64674969,77865119,91787701,105982182,120182443 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449997, s2 = 3567996, dlinesl.size( ) = 12 s1 = 11448027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11448027, s2 = 7267283, int(edited[s2]) = 0 s1 = 11448027, s2 = 7267283, d1 = 15, d2 = 152 Dl.O(d1) = 199346254 Dl.O(d2) = 274684647,236347416,237173146,237173141,236347414,236347413,236347412,236347413,236347412,235443706,234453642,266389851,236347415,237173143,237925261,237173147,266514892,234453643,233366156,232166600,230837856,229351981,227676779,225765701,223573970,221044834,218087913,264761694 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11448027, s2 = 7267283, dlinesl.size( ) = 30 s1 = 11488833, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11260761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11260761, s2 = 11652038, int(edited[s2]) = 0 s1 = 11260761, s2 = 11652038, d1 = 14, d2 = 46 Dl.O(d1) = 268008046 Dl.O(d2) = 274269859,264736955,265181173 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11260761, s2 = 11652038, dlinesl.size( ) = 16 s1 = 14218474, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15328881, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15328881, s2 = 5627809, int(edited[s2]) = 0 s1 = 15328881, s2 = 5627809, d1 = 1, d2 = 53 Dl.O(d1) = 221334273 Dl.O(d2) = 238923846,238273089,266740467,239521784,238923843,238273080,237558227,236770717,235905745,266522089,237558225,238273078,238923839,239521779,239521807,238923868,238273118,237558263,237558264,238273122,238923871,239521813,239307035,238686400,238009630,237265652,236448640,235553704,266317716,237265648,238009627,238686396,239307030,239521776,238923838,238923839,239521779,239521807,238923868,238273118,237558263,237558264,238273122,238923871,239521813,239307035,238923832,238923830,238923873,238273124,237558269,236770747,235905765,266502244,236770713,237558218,238273073,238273071,237558216,236770711,235905741,234956841,233914284,232770286,232770285,233914282,234956837,235905737,266600603,238273069,237558231,236770724,235905748,235905750,236770727,237558236,266740467,239521784,238923843,238273080,237558227,236770717,235905745,266522089,237558225,238273078,238923839,239521779,239521807,238923868,238273118,237558263,237558264,238273122,238923871,239521813,239307035,238923832,238923830,238923873,238273124,237558269,236770747,235905765,266502244,236770713,237558218,238273073,238273071,237558216,236770711,235905741,234956841,233914284,232770286,232770285,233914282,234956837,235905737,266600603,238273069,237558231,236770724,235905748,235905750,236770727,237558236,266740467,239521784,238923843,238273080,237558227,236770717,236770718,266673893,237558219,236770715,236770714,235905752,234956846,233914289,232770288,231505060,230093676,265877862,228502972,274352206 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15328881, s2 = 5627809, dlinesl.size( ) = 2 s1 = 15328881, s2 = 5627809, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15328881, Dl.E( ) = 58, 2.19e-05 seconds used appending s1 = 11277073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11277073, s2 = 16172106, int(edited[s2]) = 0 s1 = 11277073, s2 = 16172106, d1 = 40, d2 = 83 Dl.O(d1) = 99612329 Dl.O(d2) = 49314819,257999218,64589020,74682600,61889487,50399129,50399128,255196864,268262190 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11277073, s2 = 16172106, dlinesl.size( ) = 30 s1 = 11037665, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037665, s2 = 12275697, int(edited[s2]) = 0 s1 = 11037665, s2 = 12275697, d1 = 64, d2 = 74 Dl.O(d1) = 22454436,17092988,254174924,10772681,10772684,254130246,16961840,16961839,17102828,254072448,8076531,11942004,17026959,17024602,17024601,16990715,12017407,8076799,5171934,3153832,1845455,1053123,1053124,1559824,1559942,2692643,4481505,5172179,5168293,5168292,7970557,5071561,5071563,5087729,5087730,5227275,3189072,3189074,5227282,8156962,12125565,15571557,12125531,11327491,11327490,11530766,7670771,4853466,4853464,7670765,10847243,11939027,7990323,5085676,5085677,3085367,1801149,1801146,3085356,5085972,7990690,7990894,7990892,7961535,7961536,7990908,5086104,5086106,7990922,7117374,4481222,4481220,4480584,2692125,2692123,4480593,7116320,5172005,5085518,5085521,7990016,7990019,8655863,5630196,5630198,4744588,4744589,7505924,7505923,11305500,15571526,16287180,11915548,11915552,7999663,7999665,8618214,8077366,254254188,268427443,8826329,12967640,18271482,24744639,32360974,29083100,21785453,255861767,37633204 Dl.O(d2) = 78623809,78623808,92678329,107010748,121303115,107010752,107010751,121303114,121303113,135152884,259657956,107010750,260274810 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037665, s2 = 12275697, dlinesl.size( ) = 38 s1 = 10843050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10843050, s2 = 11104536, int(edited[s2]) = 0 s1 = 10843050, s2 = 11104536, d1 = 14, d2 = 26 Dl.O(d1) = 128151473 Dl.O(d2) = 30895328,255544155,12123898,12123899,17240768,255018919,6913390,6913392,10485606,12388197,15815652,10960316,7254774,4575338,2752697,2752698,4575345,7254791,9790445,6436420,4037566,254467285,254912431,254440133,1291149,1291150,2226034,3717465,5921352,3702611,3702612,5921359,9057024,8329553,5375899,5375900,6747310,4227871,2527939,1456889,1456887,2527932,4227859,6747287,6799536,5934384,5934382,9074517,13291966,14972698,10374339,10293914,6767293,4241164,2535784,1461237,1461236,2535782,4233611,4233612,4257777,4257778,6791133,6791149,5942656,3715982,3715986,5942672,9085271,9075538,6777719,4854532,4854529,4291121,4291120,6839089,10307526,6779030,4249262,4249263,6237658,6237660,9510176,10297968,10297965,10352035,8596046,6796520,5480138,4261546,4261547,6796379,5922296,5922297,6777468,5588560,3467112,3467113,4853694,4869527,5931146,3715501,2224919,2224920,3715504,5941911,9084386,6826510,6826511,8599613,5587942,5587943,6802107,4265742,4265743,6802112,4285328,4285329,4235209,4235210,5949444,5207500,3177107,3177109,3178734,3178735,5210264,5210230,3706544,2219821,2219824,3706573,5927856,9065616,10294243,9064023,9064024,6777872,6101654,6101655,6822677,6822679,7273012,6828232,4283805,4281305,4234069,2531539,2531537,3705113,5925415,6757765,6757372,4234440,4234439,6757367,10281382,10317025,14985235,15034979,15034980,17482452,12326392,12326391,13297002,12326397,12326396,15022572,14972552,10304791,6776662,4247721,3177241,254260707,254388593 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10843050, s2 = 11104536, dlinesl.size( ) = 2 s1 = 10843050, s2 = 11104536, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10843050, Dl.E( ) = 32, 1e-05 seconds used appending s1 = 12252597, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15328933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15330606, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15330606, s2 = 11197286, int(edited[s2]) = 0 s1 = 15330606, s2 = 11197286, d1 = 183, d2 = 137 Dl.O(d1) = 246549937,246549936,267541040,246301772,246208939,246110457,246007392,245896977,245779607 Dl.O(d2) = 223797252,265336606,264926864,264426402,199341531,263887210,259974176,35176442,35176441,44553945,255742488,20078394,20078395,22156890,22156889,29076560,29129675,21822738,21822737,29129673,29085814,21788320,21788321,26958146,26958147,35038145,38636569,30062566,30062565,23306515,17045341,17045342,23306516,29687564,22335122,16187682,11252193,11252195,15838665,15838664,16014231,12092231,12092232,10487109,10487111,15204217,15719192,21778258,22091119,22091533,29422188,22091860,15984595,11096869,11096867,11484321,7638635,7638634,255107393,18589508,13210219,9004948,9004949,13210221,11570345,7701455,7701454,11570343,16590531,22807857,30198695,37404782,28863450,21589169,15563331,10764728,7112508,7112507,255043565,21589167,28863444,22806193,16588767,11568586,11568591,16588782,13093516,13093518,18433754,18433787,24949338,32614916,28863841,28863840,259404021,59860135,256965069,256422255,257801261,262940925,273494526,102117201,260735081,260872548,271146671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15330606, s2 = 11197286, dlinesl.size( ) = 26 s1 = 11602357, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14360554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14360554, s2 = 11292282, int(edited[s2]) = 0 s1 = 14360554, s2 = 11292282, d1 = 33, d2 = 20 Dl.O(d1) = 74199624,268963142,52405113,52405114,269041796,34302646,33112286,255659755,254943593,6198032,3879267,2323165,2323164,2318791,1344342,1344340,773607 Dl.O(d2) = 78481404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14360554, s2 = 11292282, dlinesl.size( ) = 26 s1 = 11401045, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11563087, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14360573, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13059102, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11342247, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11342247, s2 = 11136992, int(edited[s2]) = 0 s1 = 11342247, s2 = 11136992, d1 = 3, d2 = 4 Dl.O(d1) = 260209091,89754672,89754673,103858413,103858408 Dl.O(d2) = 258341177,51314246,41130866 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11342247, s2 = 11136992, dlinesl.size( ) = 2 s1 = 11342247, s2 = 11136992, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11342247, Dl.E( ) = 12, 6.2e-06 seconds used appending s1 = 13044949, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15334496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15334496, s2 = 2451635, int(edited[s2]) = 0 s1 = 15334496, s2 = 2451635, d1 = 41, d2 = 0 Dl.O(d1) = 60056709,48660049,38738698,30156094,30156093,38738695,48660044,60056702,72795236,62021165,61940052,50448717,50448716,61940049,74734470,88363245,89327301,75569280,75569281,257913178,88088114,257313440,99868794,85913501,74476172,61693722,50211981,40190026,31504954,24006154,17660601,17660602,24006158,31504965,31798458,24284437,24284439,31798454,31798453,33543741,33543740,42560136,47955414,38041938,38041939,47955418,50211934,40189994,31504937,31504935,40189989,49978642,47774559,47774560,59173369,71911178,70501289,57800465,46445135,46445137,57800470,70501292,65258826,53269118,53269117,65258824,78548920,92596227,85913491,72320148,72320147,70501341,70501342,72080402,84500921,257913210,46851637,36972921,270816456,71098878,74250055,257774734,63323621,257185342,59346723,59585567,59585566,61471746,61471977,49994571,49994572,59909010,59909009,71433253,71103201,58700913,58700911,58219515,46851649,36972928,28474942,28474943,256848851,49994442,61471875,61471902,61471901,72080382,72080381,269442934,71433457,256320656,55659316,68056159,268462982,47310914,44751137,44751138,55659333,61471913,58701231,58701230,58701202,47311227,37401792,37401794,47311232,58701077,58701078,58701158,47311174,37401746 Dl.O(d2) = 2500988,1443016,1443011,2500988,1443016,1443011,2500988,1443016,1443011,2500892,1442982,1442976,2500898,1444785,1444780,2504607,4187421,6682073,10167965,14783845,20614043,27681851,30130428,38707672,46082490,46082489,57365041,258608451,82990436,259219969,97416265,259748216,257869300,96488628,82504353,68982851,56641534,45513157,35881803,27600394,255310564,254700281,4171003,6661423,10143176,14749565,256252489,27605317,20564786,20564785,27605315,256784403,257943505,258565471,259097093,259097091,89620977,258594879,69546176,259815503 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15334496, s2 = 2451635, dlinesl.size( ) = 2 s1 = 15334496, s2 = 2451635, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15334496, Dl.E( ) = 42, 3.41e-05 seconds used appending s1 = 10991087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10991087, s2 = 13265160, int(edited[s2]) = 0 s1 = 10991087, s2 = 13265160, d1 = 0, d2 = 58 Dl.O(d1) = 5450097 Dl.O(d2) = 267947229,4079368,2440814,2440813,4079367,4548740,4548738,7219531,10916357,15762490,21830830,21830966,21830965,21634201,15762312,15762313,15762642,20992702,20992703,22734615,16528586,16528585,22734609,30115523,37698914,29138150,29138151,31786832,24273787,24273786,29141070,29141069,30756910,37698899,29754619,22393940,16233939,11285890,7492546,7492547,11285892,16233942,22393947,29754632,38324173,48234135,46517179,36649955,28174204,20992920,15079029,10400705,6856088,4302749,4302748,6856087,10400703,15079027,15079089,15079090,20992992,28174300,23141337,16881228,11810870,11810871,16881230,255963971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10991087, s2 = 13265160, dlinesl.size( ) = 2 s1 = 10991087, s2 = 13265160, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10991087, Dl.E( ) = 70, 2.1e-05 seconds used appending s1 = 11078757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11078757, s2 = 10574067, int(edited[s2]) = 0 s1 = 11078757, s2 = 10574067, d1 = 50, d2 = 43 Dl.O(d1) = 255368793,6823493,4280644,2559359,2559356,4280638,5588605,4236726,4236721,6760705,4236912,2533191,1459762,1459765,826361,826357,1111949,1111948,1459523,1459522,2532747,3717194,5944404,5941786,3715428,3715424,5941762,4255799,4255797,6788385,4308664,2576384,1483884,1483889,2576321,2576317,2229529,2229527,3723677,5586296,5586298,4281211,4281206,6786499,6824319,6776111,6776113,6784427,6784425,5248608,3206377,3206378,3464777,3464773,4245301,2538302,2538303,1462637,1462639,2538387,4245624,5208296,8129341,6778687,5210770,5210768,5588621,5588620,4279097,3177494,1860030,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927823,9065563,10315131,6785410,5956104,5956106,5931968,5931969,6838668,4290829,2565619,2565623,2565724,1477421,1477418,2565773,4291494,3722205,3722208,2228756,2228755,3722248,5951990,8600935,8599417,8130059,5585380,5585379,5585538,5585537,8596227,12660529,13297553,18682114,13289303,9072122,5932567,3712955,2223386,1289702,1289701,2223380,257181225,64113213 Dl.O(d2) = 254499213,4408600,7012181,268034157,19358929,255695896,24472277,20106509,20106510,14417845,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530483,5676390,6517076,6517077,9916639,9920201,6519871,6204359,3883376,3883378,6204371,5969680,3733268,2235239,1296317,1296315,2235235,3733259 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11078757, s2 = 10574067, dlinesl.size( ) = 14 s1 = 11039285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10541999, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15326861, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15888001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11553507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11553507, s2 = 15054329, int(edited[s2]) = 0 s1 = 11553507, s2 = 15054329, d1 = 7, d2 = 17 Dl.O(d1) = 231245758 Dl.O(d2) = 147092104,159466597,272703188,260873748,259034456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11553507, s2 = 15054329, dlinesl.size( ) = 2 s1 = 11553507, s2 = 15054329, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11553507, Dl.E( ) = 18, 6.91e-06 seconds used appending s1 = 11201365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12796920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13060194, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14355332, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14355332, s2 = 4832239, int(edited[s2]) = 0 s1 = 14355332, s2 = 4832239, d1 = 17, d2 = 25 Dl.O(d1) = 229691443 Dl.O(d2) = 198883372,205187510 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14355332, s2 = 4832239, dlinesl.size( ) = 2 s1 = 14355332, s2 = 4832239, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14355332, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 11589051, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589051, s2 = 7324785, int(edited[s2]) = 0 s1 = 11589051, s2 = 7324785, d1 = 65, d2 = 54 Dl.O(d1) = 266804159,267051577,242293513 Dl.O(d2) = 265431319 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589051, s2 = 7324785, dlinesl.size( ) = 20 s1 = 11136991, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10936807, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10936807, s2 = 11657515, int(edited[s2]) = 0 s1 = 10936807, s2 = 11657515, d1 = 15, d2 = 13 Dl.O(d1) = 75419821,89167547,260183455,131189915,131189916,144420591,156831050,262858547,178635831,187769794,178635828,178635830,178635832,272869926,261350651,117386705,259568119,258315617,62500692 Dl.O(d2) = 63817443,52001956,41690167,32773512,255878406,13168592,8976509,5860205,5860204,8182426,5252198,5252199,8182428,12151987,16614634,16614530,16614532,22835731,28220866,256829473,57978928,257529534,95128688,86564649,255910130,72966300,60228813,48834097,38913219,30326199,30326198,26392985,19658702,14091185,9691995,6374791,3999935,3999936,6374793,6417393,9760368,14198532,19821479,255367562,14084342,9687922,6372636,6372634,254958383,19649632,17076336,11989298,11989297,17076330,23342508,30765776,29920331,22561256,16382053,16382052,22561253,25115268,32819119,41739951,35361649,35361648,44785698,38479639,255122324,16381860,11401189,7575733,4791497,2888218,2888219,4791501,7575736,11401197,16381871,22560996,29919995,38479686,48382332,41739940,32819111,32819112,257139159,62939918,75918869,86144374,72546023,59810976,48425092,38517649,29953012,22589259,16406757,11423155,11423156,16406759,22589255,29953005,268951515,258302000,48425062,38517625,29952997,29953000,38517632,48425071,59810955,72545997,86144358,98260395,84352949,70794202,58076820,46704680,36821999,36822001,38634756,38634764,38634763,48549123,47634833,37712543,29152273,29152274,31554990,255580611,12516754,8479609,8479610,12516757,17696977,268414276,22794248,16577692,267983198,23853599,254246034,12347971,17509525,23852213,23853287,17510585,17510586,17509898,17509685,12346942,12346941,17509684,23852187,17511086,17511085,23853779,28277457,21073440,18434882,13094329,267925783,5823113,8923177,10440133,10440134,15137265,21073419,22545065,22545064,22925720,22925721,30326768,31115763,39796375,48834624,47692051,47692053,59090761,58598873,58598872,58599113,58598461,47546174,37639940,29089569,21791654,15733281,15733282,21791658,268390200,47546204,47199498,37291558,28757968,21498631,15904558,15904559,22005485,29336856,37905683,37905672,37905670,37905671,38913498,47208549,54664416,43921899,42700439,33669546,25863012,255284583,13436478,13436477,18858596,14120340,9714636,9714637,14120344,10520238,6937916,6937921,5259728,3215267,3215263,5259691,4283443,4283445,6827691,10364671,15016957,12044483,8097186,8097187,12044487,16794817,16794816,18747285,18747286,20837925,14938740,10274341,10274342,14938742,16941393,16941392,15596030,10789019,10789018,13930165,13338158,9113273,5962761,5962759,9113265,9105470,9105472,13326385,15388469,10634730,10634731,14923543,10262063,10262062,14923535,10262090,10262089,14923590,14926876,11742979,11742984,16794748,12160448,11516493,7660794,4846942,2920639,2920635,4846932,7660771,11516443,16524440,22729782,21626396,15599724,10791635,10791634,15599720,21630780,28895211,21619548,21619549,27097216,254706178,27223236,32781468,26625884,19815052,14193746,9757430,9757431,14193748,19815057,26625890,23017211,23017212,21620913,21620914,16225684,11279344,7487279,7487280,11279347,15459836,11340375,7536047,4767051,4767052,7066203,4448995,4448992,4766456,4766461,7534946,11338604,16296477,14609336,10052603,10052607,14608943,11511670,11511675,12303579,11516678,11516680,16524702,16524703,17719571,16515948,11510172,7656946,7656947,10376494,10051062,7661314,4847227,4847229,6801866,10292552,11512838,7658551,7658553,11512842,10051107,6604681,4137322,2474720,1430392,813698,813699,1430396,2474731,4137341,254698491,14607125,20350498,27285621,28248123,27278354,254482836,10046358,10046359,14600320,10375458,10375457,15048637,20957594,28135637,30703889,23287969,23287855,17028655,11943593,7994229,7994228,11847000,16926997,255968237,28982976,21701643,21701644,268451335,28982581,21701188,21701189,25107013,18557611,13186355,13186354,18557608,25107012,29734458,38302203,268520274,23434014,30863502,39467439,33655231,25850512,25850513,33655233,29734460,29734459,38302206,256177784,17158461,12061920,12061919,12061981,12061982,17158559,23434206,255003138,23434089,29271337,21948568,21948569,29271334,23434081,23434082,21948595,255708548,15858807,15858808,21948592,21948596,15858813,10991913,7276448,4588900,2760866,2760865,4588898,7276445,10991909,15858806,268396185,31659840,39467447,30863508,23434086,17158479,12061930,8110216,8110214,12061929,268428761,39467524,49395969,49395968,39467523,39467524,49395970,60796600,70945553,58228313,46860467,36981938,36981937,257428139,256992694,38383064 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10490256, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10824964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10824964, s2 = 15305683, int(edited[s2]) = 0 s1 = 10824964, s2 = 15305683, d1 = 8, d2 = 10 Dl.O(d1) = 12648423,17861230,21738763,15689004,10861032,7180702,4523530,2718964,1575444,1575442,2718958,4523525,7180694,10861017,15688977,21729362,24232712,29022206,37568669,29045882,29025279,21735391,15686587,15686588,21107481,21731167,17857485,12646146,8586394,5579424,3461761,2052883,1177723,661190,366499,200471,200466,366471,661118,1177610,2052738,3461505,5579065,8585866,12645155,17855825,21738948,15689133,10861105,10861103,15689094,15683764,10857643,7178322,4521952,4521953,7178329,10857673,7181571,7181573,4524220,4524223,7181632,9183919,9183918,13432657,17265626,12145178,8174946,8174950,12145154,17265569,23577158,21730806,21730802,17857762,17857759,21726721,21726720,16368313,11391115,11391113,12648442,17860419,17856865,17856272 Dl.O(d2) = 17855676,17855673,17855610,13548393,13548395,18985967,15679574,10854945,10854941,15679520,21725094,15696821,10866168,7184283,7184284,10866172,15682406,10856833,7177842,7177838,10856798,15682319,15695414,15697698,254746673,2720757,1576579,896338,505618,283410,283406,505603,896304,1575097,895529,505168,283205,283209,505121,283182,283179,505109,895425,1574900,2717921,2716301,2716299,4519262,7174481,4524595,2719715,1576847,896473,505699,505700,896477,1576856,2721241,4518396,7173086,10850227,7181488,4524102,2719338,2719336,1575772,895893,505369,283294,283295,505375,895906,1575797,2719487,4522783,4520005,4520004,2719300,2719299,4524059,4522914,2718550,1575227,895613,505217,283222,156390,85857,47113,26250,14807,14806,26246,47103,85835,156354,283147,505039,895083,895081,1574233,1573414,1573415,1574765,1573624,894761,894763,1573609,896486,896488,1576873,2721267,254510071 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10824964, s2 = 15305683, dlinesl.size( ) = 2 s1 = 10824964, s2 = 15305683, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 10824964, Dl.E( ) = 12, 2.31e-05 seconds used appending s1 = 15305802, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11177747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11177747, s2 = 10986214, int(edited[s2]) = 0 s1 = 11177747, s2 = 10986214, d1 = 33, d2 = 28 Dl.O(d1) = 71563339,85133541,99057985 Dl.O(d2) = 4037095,4037097,254227941 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11177747, s2 = 10986214, dlinesl.size( ) = 28 s1 = 11481641, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11067639, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11627683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11627683, s2 = 5333827, int(edited[s2]) = 0 s1 = 11627683, s2 = 5333827, d1 = 32, d2 = 48 Dl.O(d1) = 267338593 Dl.O(d2) = 237213862,237213865,237963479,237963478,237213861,237213860,237213856,236391673,236391674,237213852,236391671,236391670,235491459,235491458,236391670,236391672,237213853,236391681,235491470,234504955,233421860,232229093,230907530,229432389,229432390,230907533,232229098,232229101,233421870,234504970,235491483,236391686,237213865,237963479,237213859,274714841,234504952,233421859,232229093,230907530,229432389,227771335,225878487,223708446,221203065 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11627683, s2 = 5333827, dlinesl.size( ) = 2 s1 = 11627683, s2 = 5333827, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11627683, Dl.E( ) = 52, 1.31e-05 seconds used appending s1 = 11437435, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7858109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7858109, s2 = 8566173, int(edited[s2]) = 0 s1 = 7858109, s2 = 8566173, d1 = 96, d2 = 113 Dl.O(d1) = 254476816,14594922,10042665,6599668,254987747 Dl.O(d2) = 199348081,191985754,183427293,173636670,262091753,262583462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7858109, s2 = 8566173, dlinesl.size( ) = 60 s1 = 11596245, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596245, s2 = 7433013, int(edited[s2]) = 0 s1 = 11596245, s2 = 7433013, d1 = 40, d2 = 37 Dl.O(d1) = 239548082,266915377 Dl.O(d2) = 274833962,238874168,238219218,266602692 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596245, s2 = 7433013, dlinesl.size( ) = 50 s1 = 11366907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366907, s2 = 11481088, int(edited[s2]) = 0 s1 = 11366907, s2 = 11481088, d1 = 50, d2 = 21 Dl.O(d1) = 262907609,264613969,264220602,222456888,264220596,222456887 Dl.O(d2) = 224819695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366907, s2 = 11481088, dlinesl.size( ) = 26 s1 = 11058769, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056831, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11056831, s2 = 11278206, int(edited[s2]) = 0 s1 = 11056831, s2 = 11278206, d1 = 7, d2 = 1 Dl.O(d1) = 29032870,37580127,47485534,258083857,58867254,58867253 Dl.O(d2) = 58867255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11056831, s2 = 11278206, dlinesl.size( ) = 2 s1 = 11056831, s2 = 11278206, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11056831, Dl.E( ) = 8, 2.86e-06 seconds used appending s1 = 14005479, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11373077, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11121727, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11121727, s2 = 14062860, int(edited[s2]) = 0 s1 = 11121727, s2 = 14062860, d1 = 29, d2 = 51 Dl.O(d1) = 256218326 Dl.O(d2) = 130379476,260684888,36846674,36846673,36915518,28417734,28417733,28417739,21195582,15231750,10507299,6928694,6928693,10507296,15231740,21195563,28053756,257088068,39374613,36939723,29782825,29782824,38077913,38077912,39895295,31218332,31218333,24848350,24848349,32490351,38082329,255825718,25617246,19003358,13562388,13562389,19003361,23821631,17485435,17485433,20362028,14615448,14615450,14615441,14615442,17955801,20362127,22380738,29738856,32661775,32661776,35433797,30535723,30535722,36976133,39510966,256006547,17408867,12268615,12268616,17408868,23733511,31217752,39894934,44409276,35034807,35034808,36492359,46350061,57699194,49117070,258200819,86876165,270347093,4981463,7847507,255957501,16995394,11909756,7966358,7966357,7967366,5069201,3072845,1792216,1022187,575939,254088049,178154,179234,179232,324476,580204,1029677,1572924,1572925,1572359,893986,504360,504359,893984,1022592,1022591,1024740,1015381,572347,572346,1015380,1780672,3055579,3088188,3082823,3082822,3073192,3073190,3073189,3055645,1780731,1015416,1015417,1020588,1789769,3069754,1796818,1796817,1801632,1796821,1796822,3055542,5045039,4516279,2714020,2714021,1804086,1804087,1806011,1779497,1014615,571919,571921,573351,321073,321075,573365,1017240,1783644,3052820,1779582,1017036,573257,321024,177575,177574,321019,573247,1016684,1016686,575114,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,178425,98296,54366,30757,17749,17748,30752,54351,98257,178539,322923,322925,322972,575492,322068,322072,575501,1021339,1790878,3056590,5046156,3083261,1799361,1026719,1026721,1427158,2469124,4127665,3083251,1799355,1799356,3083252,5083512,5073607,4314649,2580383,1486389,840825,840826,1486391,2580388,4314656,5089337,7994888,5091502,3089834,1804709,1030463,1030462,1804706,1573174,1573173,1019145,1019146,1787406,3066352,3079645,3065586,3065585,1797517,1025694,1018900,574196,574197,321472,177767,97898,97899,177771,321480,574265,1019051,1787227,1786804,1786807,3065259,1795339,1024318,577215,577216,1024347,1795403,3064801,5058716,5391452,3315293,3315291,5175938,5175941,5091684,3089940,1804756,1804754,3089921,3089860,1804724,1804726,3089869,5091568,7997816,5091304,3089718,1804648,1804647,3089714,5091293,7997794,11948015,15113882,10424935,6873243,4314561,4314562,6873245,7955967,267903296,254824322,23273674,23248110,23248109,17246007,12128188,8159669,7959801,7170665,4516523,4516524,7170673,10846800,7996114,7996113,11921921,11921920,16724518,11682587,7790315,5056404,5056403,5086195,7991040,11939906,17010841,16982353,11896143,7954946,254131314,11920330,11896147,11896146,7960403,5063588,3068024,3068025,5063591,5074233,5041239,5041238,255855219,22784708,16568887,256980265,256434410,21332471,21332470,28558313,21332521,21332517,28558388,33312283,28859528,22566590,22566589,29926744,25375834,22212562,22212560,29557788,255645200,25133229,25133230,32838404,41758883,42375782,36823317,28327741,21117613,21117612,28327739,256144512,256144514,20232438,20232437,27139931,35235381,28834675,21563603,15541976,15541977,21563606,21529505,21529504,25808272,33606130,37889562,29321415,29321414,37889561,47404562,42372270,42372269,37886778,37886776,40196032,40196035,44347575,44347576,55198131,256409812,38322790,48232857,59619900,50047283,256616464,255641178,46665010,46665011,255303464,21988651,15892114,15892111,17380443,23703018,17380453,12247639,12247638,268252907,257056321,61376752,74157225,258447330,257237948,36461245,256554188 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11121727, s2 = 14062860, dlinesl.size( ) = 2 s1 = 11121727, s2 = 14062860, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11121727, Dl.E( ) = 76, 2.31e-05 seconds used appending s1 = 15321854, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13994787, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13062034, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13062154, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16300803, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16300803, s2 = 13176218, int(edited[s2]) = 0 s1 = 16300803, s2 = 13176218, d1 = 148, d2 = 130 Dl.O(d1) = 254349119,1620409,1620410,2793557,4637797,7342639,11069973,7340204,4636421,254522173,11069975,15951457,15952469,15952470,22056144,29386147,37934494,29384897,22054818,15951112,11078823,7346186,4639893,4639894,7339676,4636103,4634506,4634510,4638873,2794114,1620694,921658,519606,519605,921650,1620677,2794085,4638761,7342573,4637749,2793521,1620392,921519,921518,1620386,2793507,4637728,6025687,4640885,2795227,1621306,1621307,2795234,4640905,4633403,2791171,2791170,4633394,7334988,7335112,11062596,9204041,7346690,7346689,7347870,4640949,2795258,1621318,1621317,1621110,921852,921853,1621114,1619580,921212,921216,1619764,254348965,4635182,2792186,2792189,4635212,7334523,4633166,2791067,1620505,1619057,1619055,920906,920908,1619121,2790968,4632979,7334173,11061041,7337630,4634958,4634957,7337623,11058886,11058889,15937126,11066837,7337965,7337960,11066809,7347126,4640455,4640456,7347128,11080053,15964067,22069041,29390377,22059727,255072469,7342221,11073036,15955439,22059724,22069715,29378908,22048457,22039726,15937257,11058980,11058979,15937255,255115572,15955354,11072989,7342195,4637547,4637549,7342198,11072997,15955375,15965051,15965049,15927175,15927179,18925574,18925572,25537374,18928219,18928223,15942735,15942731,15943609,13494015,13494017,11063803,7335854,4633896,4633894,7335844,11058006,15935756,15965638,11081437,11081436,15957560,22061997,25541597,25541598,22429635,22429636,28916383,21641971,21641970,28916380,37455791,29507372,22167046,16044195,16044192,22047053,26621296,34610032,255726446,42284774,33304531,33304532,37960487,29395987,255447393,11077460,7345274,4639345,4639343,7345270,7287720,7287719,11008789,15881094,15881095,21975556,22059813,29390458,22273214,16131262,13494555,13494554,18929228,22051422,16131546,16131547,15963397,15963400,16129844,16129849,11204864,11008250,7287427,7287428,8901929,5808854,5808852,8901926,13063719,18391861,13493510,13493511,15882386,14492432,11009586,11009589,11067485,11067482,15948315,15948288,13424835,9178657,9178658,13424752,9178608,8471150,8471151,9778445,9615865,6316091,6316093,7883830,7435213,4698284,2830682,2830681,4698279,7435198,6045505,3782624,2265911,1314444,1314440,2265888,3782180,3782179,6044740,9229475 Dl.O(d2) = 12451526,12451528,267911635,5435737,8419855,8415940,5431287,254598969,12447696,12440425,8408757,8408758,5432090,3339221,1963683,1121612,1121613,1963687,3339234,5432111,8417044,8406246,8406248,12437664,8406273,8406270,5453241,5427497,3336507,1962220,1962222,1966917,3345050,5441376,5440652,3344559,3344560,5440659,3350027 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16300803, s2 = 13176218, dlinesl.size( ) = 2 s1 = 16300803, s2 = 13176218, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 16300803, Dl.E( ) = 150, 4.58e-05 seconds used appending s1 = 15329455, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16301104, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15334648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13050049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10993713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10993713, s2 = 11071692, int(edited[s2]) = 0 s1 = 10993713, s2 = 11071692, d1 = 50, d2 = 72 Dl.O(d1) = 750286,1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490321,33239842,29377780,29377784,29507388,29367682,22036919,15934983,11057467,11057471,15935000,18930192,13495248,13495243,18930140,15940301,11061181,7334272,7334278,11061214,15940360,21976858,21976857,16865355,16865353,16129875,11204872,11204875,15962657,15962659,13494625,11067382,11067381,15948188,16131105,16131106,11205809,7435397,7435400,11205800,13494857,13494854,18929637,14172880,9743434,9743436,14172885,19786820,22272969,19795486,14179294,9747689,6409530,4021083,4021085,6409541,9747711,7434933,4698141,4698142,7434939,11205146,16130254,15960822,15960825,14173076,14173077,11206453,11206454,11206641,7435868,7435867,11206636,16132361,16131436,11206002,7435504,7435506,6408241,6408242,7435380,7435355,4698358,4698353,4698037,4020399,4020401,6408392,6429276,7094681,7094683,6406869,4019515,4019519,6406886,6887888,6887892,9777705,13491101,13491103,14173553,9743933,6407191,6407192,9743936,14173561,19787705,254965613,9778111,14223505,19853335,26669698,34662460,268227860,22415347,16250438,11297755,7500815,7500816,11297759,15882113,15882114,15960927,22065686,19853582,255549962,15526484,10738187,10738186,15526480,20122430,19847837,19847836,26662671,34654274,38766590,38766592,31096588,23612762,17299620,12177581,8209174,8209173,12177579,17299617,23612759,30183067,22793518,16577101,16577102,16336384,11366309,11366310,16336388,22510179,254744050,30183063,27233395,20304206,20304205,23461891,21102323,21102322,254563254,8564890,254531208,17821015 Dl.O(d2) = 180919107,273448529,263945667,262300667,260668381,270354606,256472797,49185408,49311306,255139664,12001198,12001199,12020039,8079418,5174647,3156090,1847059,1054045,1054046,1847061,3102193,5109175,7526427,5161787,3144856,2710524,1570283,1570280,1833822,1046544,1046540,1833834,3136442,5152400,4679207,2866204,1663535,1663534,1832736,1832740,1842904,1842905,3149997,5119267,8030147,7406666,7406665,7529112,5167808,3150018,1842918,1842920,1843480,1827729,1827730,1828425,1840209,1865979,1840193,1832367,1045714,1045712,1832304,1832303,3109514,1817047,1037517,584393,584391,1037505,1817018,3109474,267796565,1848898,3108488,5117520,8028384,11976861,255144913,8034768,8018482,254381057,3100631,5107074,8018484,5130458,3118739,1822733,1822732,3118736,4757452,4057946,2428857,1405010,1405011,2428862,4057954,6475550,8036491,5144804,5144805,4057962,2428867,2428868,4057967,4762385,4762384,5125927,254256341,1820331,1823157,3119430,5131369,8040995,5140710,3133524,3133525,5149048,8057621,11977235,8031525,5120852,3125638,1827106,1827108,3125641,3148658,1841952,1051120,591189,329710,329709,591134,591135,1051010,1841592,3137000,1834189,1820093,1820094,1048842,590059,590060,1048851,1664555,1819968,1039024,585176,329104,329103,589883,1048468,1837313,3137239,5153324,8037207,5127362,3116221,1821124,1039655,1039656,1821125,1815638,1036740,1036739,1815636,3107220,3188564,5226747,8057142,8047415,5148415,5148414,5148297,3137412,1834456,1834457,2870708,4762346,5114765,5114764,3112908,1819089,1819090,3112879,3112878,3159019,3109794,1817203,254256069,5119332,5148284,5148283,7523898,11327701,16077901,11972831,8163437,7522213,7522211,5122528,3112268,1818697,1818696,3112266,254384037,1832041,1045555,588447,588446,1045539,1812791,1055046,1035154,583237,326037,180016,98979,54702,54700,98968,179991,325987,583210,1035100,1812601,3102273,5109272,5038589,254253030,16944468,19276734,25939879,31759043,255971616,11017664,7294017,4600004,4600007,7293944,7293943,11017535,15892817,21989769,256020524,46875065,255568456,38811739,34192155,26320128,26320127,34192150,257496896,25453052,33199764,40472651,31778015,31778016,255733970,254967568,9000871,9000873,13203360,18579135,13203383,9000887,9000888,13203385,18579170,19817311,14195346,14195345,19817308,19815560,14194115,9757701,9757699,9231170,9231168,13492634,13492632,18926391,24264813,18870216,13492668,13492666,18926441,25133980,31759222,39525308,30914790,23477916,17195406,17195405,23477913,20882918,20882919,28051556,29263771,35081083,34617797,30054627,22678372,16481254,11483601,7638175,4832550,4832551,7638183,11483618,16481293,13493336,9231534,6045928,6045929,9231319,6045824,3782840,3782841 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10993713, s2 = 11071692, dlinesl.size( ) = 44 s1 = 11312491, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13063112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13063126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13063126, s2 = 11474092, int(edited[s2]) = 0 s1 = 13063126, s2 = 11474092, d1 = 9, d2 = 17 Dl.O(d1) = 113526501 Dl.O(d2) = 193700076,200796809,200796810,206785909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13063126, s2 = 11474092, dlinesl.size( ) = 2 s1 = 13063126, s2 = 11474092, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13063126, Dl.E( ) = 34, 1e-05 seconds used appending s1 = 11438077, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11276583, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11276583, s2 = 8246976, int(edited[s2]) = 0 s1 = 11276583, s2 = 8246976, d1 = 31, d2 = 65 Dl.O(d1) = 259351658 Dl.O(d2) = 264233590,263169415,154133920,272222461,59876381,72554062,59818821,256423526,22595009,26316243,19590894,14036555,14036556,19590899,26316255,34188112,29729882,29729881,30589851,30589849,24210908,17840724,12633680,12633678,17840716,24210896,24209924,24207384,17837506,12631326,12631325,14085989 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11276583, s2 = 8246976, dlinesl.size( ) = 48 s1 = 10980243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361400, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14361400, s2 = 11384036, int(edited[s2]) = 0 s1 = 14361400, s2 = 11384036, d1 = 28, d2 = 23 Dl.O(d1) = 229822100,265889318,232549587,274554149,226359787,224243479,221802781,221802780,221802779 Dl.O(d2) = 197737091,190126985,181312352,171276033,171276032,160039688,147775965,147775964,147775966,160039690,160039686,147775963,260689408,106597637,92299388,78272365,64999165,53024306,257818257,259063513 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14361400, s2 = 11384036, dlinesl.size( ) = 2 s1 = 14361400, s2 = 11384036, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14361400, Dl.E( ) = 30, 1.1e-05 seconds used appending s1 = 13063604, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13051047, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15496942, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15496942, s2 = 14349269, int(edited[s2]) = 0 s1 = 15496942, s2 = 14349269, d1 = 1, d2 = 1 Dl.O(d1) = 81091676,95149052,109402896,112340886,270351846,84448684,70891684,70891683,70891692,257590798,70891662,70891663,84448661,98358317,100698618,86723549,73118135,60378186,60378187,73118137,70891691,58177519,46810148,46810147,46810146,258033685,84448651,84448675,98358321,112340868,126201330,139576589,259890696,101110048,115188344,129120380,133634928,133634927,142497795,129120382,115188345,115188346,261800301,261966595,133634929,119765256,105531823 Dl.O(d2) = 81091676,95149052,109402896,112340886,270351846,84448684,70891684,70891683,70891692,257590798,70891662,70891663,84448661,98358317,100698618,86723549,73118135,60378186,60378187,73118137,70891691,58177519,46810148,46810147,46810146,258033685,84448651,84448675,98358321,112340868,126201330,139576589,259890696,101110048,115188344,129120380,133634928,133634927,142497795,129120382,115188345,115188346,261800301,261966595,133634929,119765256,105531823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15496942, s2 = 14349269, dlinesl.size( ) = 2 s1 = 15496942, s2 = 14349269, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 15496942, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 14361468, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14102151, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16316190, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13064074, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361514, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14361514, s2 = 15168356, int(edited[s2]) = 0 s1 = 14361514, s2 = 15168356, d1 = 2, d2 = 20 Dl.O(d1) = 236011353 Dl.O(d2) = 266837316,239585368,239585369,266837318,241110740,241547262,241547263,241547264,241547266,241547256,241110727,240640281,240640279,241110724,241110741,241110740,241547264,241951658,266989896,241110727,240640281,266778026,239585367,240132709,240640287,241110729,240640284,240640283,241110720,241110719,241110739,266942782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14361514, s2 = 15168356, dlinesl.size( ) = 2 s1 = 14361514, s2 = 15168356, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14361514, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 13064370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11177087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11177087, s2 = 11160476, int(edited[s2]) = 0 s1 = 11177087, s2 = 11160476, d1 = 90, d2 = 37 Dl.O(d1) = 268924951,15578941,10776723,7120527,7120528,10776725,15578945,21607467,268330560,12123280,8155158,8155159,12123283,16009313,16009314,16009168,11114699,7371791,5029357,5029356,7911292,11837705,16914696,17455711,23786555,23546994,17239385,12122822,12122823,8154901,8154902,8155544,5225956,3188005,3188006,5225958,267905383,5225593,5225605,5225604,8155005,8154329,5225148,5225146,8154326,8154309,8154308,12122170,255543951,17239227,23546845,17796173,17796172,24163958,258286889 Dl.O(d2) = 109396947 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11177087, s2 = 11160476, dlinesl.size( ) = 62 s1 = 14361658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11591179, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11591179, s2 = 15294909, int(edited[s2]) = 0 s1 = 11591179, s2 = 15294909, d1 = 11, d2 = 16 Dl.O(d1) = 266762328,221316922 Dl.O(d2) = 162637086,173659554,264042544,261000915,109568446,95311635,260250830,255336845,9981171 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11591179, s2 = 15294909, dlinesl.size( ) = 28 s1 = 13052293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16349217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14311612, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14311612, s2 = 16349218, int(edited[s2]) = 0 s1 = 14311612, s2 = 16349218, d1 = 18, d2 = 6 Dl.O(d1) = 95126473,81068270 Dl.O(d2) = 72810153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14311612, s2 = 16349218, dlinesl.size( ) = 2 s1 = 14311612, s2 = 16349218, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 14311612, Dl.E( ) = 24, 1e-05 seconds used appending s1 = 13064956, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13064956, s2 = 13084115, int(edited[s2]) = 0 s1 = 13064956, s2 = 13084115, d1 = 88, d2 = 92 Dl.O(d1) = 195105888,263345506,262470418,143080531,129750479,129750478,260271132,87830487,258399620,49967967,49967966,61445857,74225458,87830486,101804583 Dl.O(d2) = 235567975,234586417,233508575,232321656,231007758,229541807,229541808,231007760,232321659,232321662,231007762 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13064956, s2 = 13084115, dlinesl.size( ) = 2 s1 = 13064956, s2 = 13084115, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 13064956, Dl.E( ) = 94, 2.72e-05 seconds used appending s1 = 16360002, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16360002, s2 = 13245584, int(edited[s2]) = 0 s1 = 16360002, s2 = 13245584, d1 = 37, d2 = 29 Dl.O(d1) = 46595369,36707947,28216249,21021924,15098500,10413136,6864045,4307796,4307797,6864048,10413141,15098511,20325877,27259979,35385257,44809705,52558640,42199330,42199328,52558345,64433039,77601970,91532746,95262700,88463645,74830265,74830055,62033730,62033731,73505809,73551758,73549611,258844803,101166260,115243875,125928889,112095317,98136105,98136106,100040399,260013457,270797309,258223775,39492276,30885932,23453926,17176509,12077034,8121094,5202811,3174210,3174212,5202815,8121112,12077062,17176559,23453995,30886060,39492519,49422609,258223853,260087213,261260609,139281393,139281392,129190753,115262553,101186773,258846481,73570463,87189414,73570952,73570954,87189383,73570444,73570443,87189380,101186749,101187217,114066800,101187567,101187568,101187232,100040332,258770147,59744138,59744139,72479293,86077345,85715231,73570606,60823011,60823010,73570602,67742081,67742082,81206944,95262971,98137792,98137793,101184532,87190123,73570997,60823257,60823253,49422598,49422597,60823247,71091171,71091165,71091162,60823174,49422541,257616229,260087181,258406500,81207771,95263738,259660536,137439052,150476616,151984329,261629918,260499040,259897014,259660535,77579652,77579650,87190104,258800020,258846539,260087205,125930307,272519239,261069729,125930656,112097401,112097400,98139420,84245730,70693833,57975844,46598758,46598759,57975849,70693855,84245780,98134674,101185812,101187151,101187143,98134315,87920484,74317289,74317290,77602201,74317286,61540900,61540899,258846519,258846517,258035374,38451788,29894724,22539410,22539411,22546418,16370633,11392903,7569554,7569553,11392901,255097811,11392632,255477109,29901316,22546506,22546507,23024630,23025059,16783509,16783510,16370756,11392989,7569612,4787112,2885346,1674550,952671,952672,952663,952664,1674536,2885319,4787055,7569512,11392759,11392760,16370437,16783361,11734919,7834742,7834681,4973185,3003765,1744392,1744394,3003770,4973194,7834696,11734828,16783231,23024676,22546212,22546213,22546651,16783415,16783416,16370517,16370518,16783454,11734981,7834781,7834782,11734983,11392995,11392996,16370764,22546562,29902006,268238535,11734953,11734955,16783406,23024933,29901675,23024785,22546798,16783278,16370949,11393122,7834759,254808091,16783392,23024912,23024999,30430802,29901464,22546766,255489501,11497882,11497883,16501533,22705518,30087389,256973513,40167141,31482365,31482363,29901734,29901735,38228391,29662036,24125596,24125595,31631962,37927132,29360792,29360791,37927127,38228188,29661859,256398871,257520905,258753537 Dl.O(d2) = 29794221,255414362,4744750,2859540,2859541,1805962,1805963,3055225,3055226,2714081,2714080,3085640,1801382,1028155,579331,324091,179060,98504,54470,30804,30805,54477,98464,178983,323963,579201,1027960,1027553,1014466,571828,320311,177241,97654,97652,97676,54087,30631,17695,17696,30639,54107,97723,177390,177267,177268,320378,320487,177325,177326,320491,571914,320350,320346,571909,1014597,575115,321889,177961,177959,321882,504616,504618,282946,282947,504661,577003,322841,179089,179086,323151,178574,178576,322866,577046,1024072,1031059,1779880,1014876,572059,572055,573280,573277,1016366,572910,320854,177506,177505,320161,177162,177164,320169,571542,1013966,1778505,1020603,1020604,1016786,1016788,1016915,573189,320984,177558,177555,320974,573167,1016875,267753849,573125,320958,254102985,268945324,254562845,5056557,7949319,5055506,3062751,1785339,1018063,1018064,1785344,3062757,5055519,7949347,11678681,7787162,7787161,7930535,7930536,7973712,11865972,7930556,7930554,7964909,7964908,11889555,11889556,16976583,16714080,16714082,11690043,7796271,4943747,4943748,7796273,11674493,7783431,4933673,2976483,2976482,2979004,2979006,4937044,7783800,4934027,2976753,2976754,4934029,254445620,7781276,7781278,7782375,4937001,2978982,1729209,1729210,1732663,2984360,4944733,7781108,7781107,4942310,4932701,2975767,2975766,4932696,4943508,7787485,7787221,4936987,2981448,2981449,4934193,4934172,2982490,1731330,984238,554080,554079,984236,1731328,254247297,1729189,2978954,2983441,2982484,1731326,984234,554078,554077,984232,1731320,1730491,983770,983768,1729258,1729259,2979067,4937132,4934293,2982731,2977970,1728494,1728493,983340,983339,1729766,2979837,1731985,984637,984636,1731982,984732,554491,310246,171587,94416,52089,29301,16779,9592,9591,16774,29289,52065,94370,171511,310112,554219,984505,984775,984774,1627854,1627850,2806069,1726682,1726683,2975209,2976151,2976152,2979482,2975082,2975084,2975119,2983293,1731898,267793031,4943332,7788965,254805157,4943106,4943105,7785659,4935645,2978004,2978003,4935643,2983841,2983840,2978298,2978299,4936037,7786167,4936544,2978631,2978633,4936552,4932181,2975365,2975367,4932190,4935594,2977978,2977982,4935612,4941020,2981662,2981661,2984190,1732537,1731231,1731230,2982350,4942170,7785883,4935815,4935814,7785888,11677255,11685195,11953263,11953264,16722861,16722860,16727261,17016361,254821492,22969664,254567276,16717613,11675798,7784615,7440238,4701258,4701257,7440193,7938573,5048568,5048569,3082625,1798889,1798887,3082614,5082639,7986133,11213084,11213083,11684690,7992437,7992438,11684712,11684713,11688151,11928456,11901494,7959579,7959582,11901498,11680960,11680965,7983476,7983474,7980038,7980034,7938143,5048234,3058281,1782631,1782630,3058278,5048228,7938138,11874939,9168580,9168578,10774667,10774662,7932232,7932235,11684669,11868042,11874544,11874637,7973261,5073732,3076642,3076641,5073731,7973255,7997190,7997189,11947349,17032832,17010852,11953306,11932203,11305603,7505995,7505996,5060811,5060812,7951542,11891964,16971601,16971602,23233754,16961004,11872881,11872880,7952390,5057876,3064349,3064351,5057878,5057927,5057926,7952019,7945486,7945488,7960079,11902061,13409232,10834741,7162102,7162103,10834746,8001614,5093953,5083094,5083096,3082986,3082985,5083127,7976283,5075804,5075805,5391524,5391787,7957975,7957974,8347911,8347914,12355751,12154865,8185254,8185253,7231659,7231658,10930777,15779463,17023464,12363234,8353961,5392152,257070787,257411369,256293379,28252257,255804832,58009107,50425220,40391290,31698508,31698509,40391291,34641719,26650200,19836565,19836566,26650202,34641720,42372319,36751458,36751456,46637942,41960239,33017445,27063679,27063681,35149496,41664256,41664254,254204956,38430106,38320157,29751144,22391345,17821223,17821222,21632633,28906752,37445957,37445893,28906671,21632545 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16360002, s2 = 13245584, dlinesl.size( ) = 20 s1 = 14016371, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13053079, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11399369, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11399369, s2 = 10919329, int(edited[s2]) = 0 s1 = 11399369, s2 = 10919329, d1 = 31, d2 = 19 Dl.O(d1) = 264201927,211674793,215724555,219074061,265380045 Dl.O(d2) = 84369769,259263838,84369773,84369772,85757390,72162889,72162890,72162888,59423940,58850914,47466581,37559697,37559696,37559705,37559704,38118229,38118228,48031431,59423939,64844546,78041426,83937728,256804654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11399369, s2 = 10919329, dlinesl.size( ) = 2 s1 = 11399369, s2 = 10919329, "passes" = passes Sat Dec 09 04:19:19 2017: s1 = 11399369, Dl.E( ) = 44, 3.39e-05 seconds used appending s1 = 13053123, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11557225, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11557225, s2 = 11319976, int(edited[s2]) = 0 s1 = 11557225, s2 = 11319976, d1 = 64, d2 = 37 Dl.O(d1) = 265687098,265157888 Dl.O(d2) = 259667985 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11557225, s2 = 11319976, dlinesl.size( ) = 32 s1 = 13065566, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15331381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15331381, s2 = 5522262, int(edited[s2]) = 0 s1 = 15331381, s2 = 5522262, d1 = 0, d2 = 16 Dl.O(d1) = 164342728 Dl.O(d2) = 226258042,228112240,227055024,225027434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15331381, s2 = 5522262, dlinesl.size( ) = 18 s1 = 13065954, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13065954, s2 = 10810865, int(edited[s2]) = 0 s1 = 13065954, s2 = 10810865, d1 = 57, d2 = 98 Dl.O(d1) = 267156750 Dl.O(d2) = 269045600,256085090,14042925,19598745,14042928,9655641,6349110,6349109,9655637,14042923,19598744,21967070,15873074,11001940,7282944,4592874,267887825,11001936,15873072,13715064,13715062,19202812,24776513,18296576,12987169,8841232,5761923,5761922,8841229,8639946,5619059,5619060,8639948,12715829,17944752,15402362,10645833,8739621,5689646,254625891,255218807,18772299,13368275,9136371,9136370,254775362,18295122,18295121,19181288,19181289,13697884,9381354,6145957 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13065954, s2 = 10810865, dlinesl.size( ) = 2 s1 = 13065954, s2 = 10810865, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13065954, Dl.E( ) = 104, 2.5e-05 seconds used appending s1 = 13065956, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13054103, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14361942, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15329997, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13066288, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13066288, s2 = 14251307, int(edited[s2]) = 0 s1 = 13066288, s2 = 14251307, d1 = 29, d2 = 100 Dl.O(d1) = 69882416 Dl.O(d2) = 263501091,200349551,206401844,211407629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13066288, s2 = 14251307, dlinesl.size( ) = 2 s1 = 13066288, s2 = 14251307, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13066288, Dl.E( ) = 128, 6.01e-05 seconds used appending s1 = 13961596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13961596, s2 = 7880603, int(edited[s2]) = 0 s1 = 13961596, s2 = 7880603, d1 = 43, d2 = 47 Dl.O(d1) = 257775491,64793988 Dl.O(d2) = 6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092133,7420384,9300095,6092136,6092135,9300030,13581761,14032149,19585945,24601889 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13961596, s2 = 7880603, dlinesl.size( ) = 42 s1 = 7880602, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7880602, s2 = 13961595, int(edited[s2]) = 0 s1 = 7880602, s2 = 13961595, d1 = 44, d2 = 40 Dl.O(d1) = 9419950,6172120,3862024,2313569,1398286,1398288,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583,2415585,2313565,2313561,2415583 Dl.O(d2) = 53064360,257775490 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7880602, s2 = 13961595, dlinesl.size( ) = 40 s1 = 13054339, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14072533, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13067920, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13054605, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11248111, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11248111, s2 = 7014392, int(edited[s2]) = 0 s1 = 11248111, s2 = 7014392, d1 = 20, d2 = 75 Dl.O(d1) = 100023562 Dl.O(d2) = 136804864,122973907,257713754 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11248111, s2 = 7014392, dlinesl.size( ) = 2 s1 = 11248111, s2 = 7014392, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11248111, Dl.E( ) = 80, 3.5e-05 seconds used appending s1 = 14362145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11293615, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11293615, s2 = 2737659, int(edited[s2]) = 0 s1 = 11293615, s2 = 2737659, d1 = 75, d2 = 44 Dl.O(d1) = 260905827,147866191 Dl.O(d2) = 78868798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11293615, s2 = 2737659, dlinesl.size( ) = 24 s1 = 13068318, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14362186, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14362186, s2 = 16282161, int(edited[s2]) = 0 s1 = 14362186, s2 = 16282161, d1 = 68, d2 = 67 Dl.O(d1) = 162659460,150540635,137511645,123789251,109601014,95348275,81291766,259172611,55484011,55484010,67825531,81291765,81291771,67825535,55484014,44633920,35249567 Dl.O(d2) = 98486973,84563789,258371290,58284666,70999860,70999862,70999861,84563794,98486978,112478587,126346216,126346210,112478581,98486975,98486974,112478579,126346207,139722169,152447848,139722174,139722175,262164965,171542616,160339496,260398630,121164318,106897334,92578251,78530880,65240830,53251527,255744134,268763303,25800900,255769001,10115433,6642043,6642044,10075643,6618279,4172825,4172823,6611703,6611702,4182870,2501396,1443140,1443135,2492977,1439422,1439417,2493011,4170536,6634482,10103325,14690278,20472477,27460591,27856475,27856474,36264814,27856492,27856490,36264854,46053284,57261988,69907183,68875832,257273444,256192324,53649315,61862294,50375463,40344638,31652798,31652797,40344626,40349479,40349478,45500544,45500545,56624183,57081104,57081105,56018672,50366322,40338447,31649210,24142598,24142602,31649161,31649158,40338296,50366131,55884350,45845500,45845498,56693909,69258540,65082959,53097151,42646567,42646566,46048799,46048801,57324749,67886286,55532957,55532956,55968929,45006008,35534698,35534694,36059705,45006453,35535302,35535303,27636562,20585759,20585760,27617974,35906901,27832319,27832321,36229378,45978127,45978126,57238068,69143674,68237776,55809316,55809318,68237780,61872886,61872887,50383704,40349562,40349565,31655371,31655367,40349633,50383804,56502623,56502626,52613530,42235707,33261986,25504576,18895777,18895778,25504510,25504445,25504448,33261746,38704701,30127939,22745189,22745186,30127875,30127874,35807163,256242810,20529859,27552051,35647347,35647853,35647854,45170411,35647984,27449873 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14362186, s2 = 16282161, dlinesl.size( ) = 46 s1 = 11339449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032757, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11032757, s2 = 7778475, int(edited[s2]) = 0 s1 = 11032757, s2 = 7778475, d1 = 48, d2 = 65 Dl.O(d1) = 254790368 Dl.O(d2) = 274810523 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11032757, s2 = 7778475, dlinesl.size( ) = 22 s1 = 11281633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11404197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13056559, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15331868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13069272, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11592245, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11066917, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066917, s2 = 11383186, int(edited[s2]) = 0 s1 = 11066917, s2 = 11383186, d1 = 23, d2 = 35 Dl.O(d1) = 256547575,50421138 Dl.O(d2) = 263207180 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066917, s2 = 11383186, dlinesl.size( ) = 56 s1 = 13069528, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11632039, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11632039, s2 = 11569130, int(edited[s2]) = 0 s1 = 11632039, s2 = 11569130, d1 = 20, d2 = 29 Dl.O(d1) = 245565870 Dl.O(d2) = 266480482 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11632039, s2 = 11569130, dlinesl.size( ) = 50 s1 = 11497003, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11022407, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11022407, s2 = 11657381, int(edited[s2]) = 0 s1 = 11022407, s2 = 11657381, d1 = 42, d2 = 77 Dl.O(d1) = 259473653 Dl.O(d2) = 55743803,68141853,257318064,255751128,10380775,6840694,4292229,4292228,2566359,2566329,2566331,2566425,2566933,1478014,835566,835565,835562,470906,470905,835559,1478003,2566908,4293437,6780382,6780381,6777974,4248537,2539974,1463458,1463456,2539972,4248533,6777966,6845107,4295084,4295083,6845106,10306302,10306303,13321250,13321249,13287583,13287584,13704987,13302487,9084080,6149720,3848144,2305781,1337987,1337989,2305783,3848147,6149727,9386846,255690381,19651954,14086001,14086003,19651901,19651902,14229138,9781769,9781770,14229145,14229239,14229240,19860750,14229271,14229275,14919551,14919549,17266028,17266027,23577679,26390170,29729186,24822126,18330654,18330653,16394187,16394188,19591246,22875748,17842458,12634966,12634965,16704170,11664115,11664114,14198782,9760516,9760517,14198786,17840663,17840661,16564807,16564808,16421878,11437970,11437967,16421898,16427832,16427835,22612149,20024466,14342351,14342349,19837975,19837977,268813179,256623442,22721961,16516904,11510797,11510798,7657339,7657338,11510725,11510724,16516795,22721843,30103476,254483196,258002724,24283124,254336638,5598863,5598861,4464369,2682136,2682137,4464376,5598848,8613561,268005565,5598865,3475357,254194167,1183502,254617641,4874368,4874367,7532765,255096125,10853146,7175240,7175239,10853145,11333913,7531455,7531456,6492182,6492181,9881551,9883011,14376975,12200653,12200654,11569139,11569136,9883006,9883008,11569386,9875550,6487662,6487663,9875555,9875143,9875144,7699467,7533021,4765274,4765273,4872968,7699406,11567587,15626680,15626668,10813016,10813017,7699347,4872925,4872924,7145982,10813426,10885912,14395931,14388410,14388412,20057677,20065894,15627693,10814106,10814107,14388361,255626549,12992646,254631789,5764676,4874094,4874097,7701270,11570094,16590318,15730051,15730050,255177785,8361328,8361326,12373565,16014198,16589314,255496573,254808703,7844927,6497631,4071463,2436261,2436260,4071462,254468889,4062715,254971031,255739535,255107398,9883472,9869781,9869783,9882754,254971038,254468890,4062743,6483564,6501878,7202824,268047579,9894894,11568625,7700125,7700124,7206192,4540106,2728869,1580975,1580979,2728883,4540128,7206225,7698818,7698819,11566846,16586948,15764991,15764990,15625883,15625884,21661922,21782951,21782471,15723496,10886848,7198947,7198948,10886850,15723500,259898097,46730456,36848310,255245114,21137361,28350891,257417553,70819982,258380076,258062914,46367926,36509669,33451685,25680384,19057758,19057756,17195079,255541349,30914335,39524835,49458469,60861450,73611509,87232840,260689323 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11022407, s2 = 11657381, dlinesl.size( ) = 58 s1 = 8159902, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12240449, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13069814, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15330469, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16381355, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14362504, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14362504, s2 = 8885853, int(edited[s2]) = 0 s1 = 14362504, s2 = 8885853, d1 = 80, d2 = 62 Dl.O(d1) = 267407770,243843364 Dl.O(d2) = 266611553,274755688,236033249,235093810,234061084,234061083,234061086,232927781,231676732,231676733,274476690,274360456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14362504, s2 = 8885853, dlinesl.size( ) = 62 s1 = 11630139, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14350776, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11464483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11464483, s2 = 11984470, int(edited[s2]) = 0 s1 = 11464483, s2 = 11984470, d1 = 54, d2 = 100 Dl.O(d1) = 263425902 Dl.O(d2) = 264550015,216404989,219669505,222426566,224793259,226847782,228639341,230214688,229257639,227557293,225613464 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11464483, s2 = 11984470, dlinesl.size( ) = 2 s1 = 11464483, s2 = 11984470, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11464483, Dl.E( ) = 102, 2.69e-05 seconds used appending s1 = 14362597, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14362597, s2 = 4711222, int(edited[s2]) = 0 s1 = 14362597, s2 = 4711222, d1 = 92, d2 = 59 Dl.O(d1) = 42292000,33311849,25550387,18937878,18937876,25550383,23921072,23921073,18957741,13521476,13521475,16560835,18959854,18959853,13523854,9255174,9255173,10556560,10556559,7145840,7145841,10813278,11824110,7901941,7901940,8375613,5405437,3323219,3040836,1770781,1770650,1770649,1770660,1770684,1770687,3040671,3284077,5343399,8282258,8384519,8384262,8384261,12405579,12403627,12403628,10547147,6955923,6955921,10547143,15281168,21247258,16802136,16802135,255025349,6959350,6959349,10551947,268069268 Dl.O(d2) = 191945414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14362597, s2 = 4711222, dlinesl.size( ) = 46 s1 = 11549943, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13070878, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13070878, s2 = 11422090, int(edited[s2]) = 0 s1 = 13070878, s2 = 11422090, d1 = 3, d2 = 54 Dl.O(d1) = 44363648 Dl.O(d2) = 263954663,263943302 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13070878, s2 = 11422090, dlinesl.size( ) = 2 s1 = 13070878, s2 = 11422090, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13070878, Dl.E( ) = 70, 2.31e-05 seconds used appending s1 = 11415087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11415087, s2 = 376556, int(edited[s2]) = 0 s1 = 11415087, s2 = 376556, d1 = 8, d2 = 160 Dl.O(d1) = 174430552,174430554,174430534,263066855,264156487 Dl.O(d2) = 264625862,207079789,201141314,262925894,176439403,176439404,185869577,194093729,201141310,207079787,211980735,211980734,211980736,211980737,211980738,207079786,201141308,201141310,207079787,211980735,207079784,201141306,201141307,273231474,185869574,194093724,201141312,194093725,263341104,201141321,201141320,201141319,194093728,194093729,194093722,194093721,201141307,194093727,194093726,201141317,201141313,262925894,176439403,176439404,185869577,194093729,201141310,207079787,211980735,207079784,201141306,201141307,273231474,185869574,194093724,201141312,194093725,185869575,176439403,176439404,185869577,194093729,201141310,207079787,211980735,207079784,201141306,201141307,273231474,185869574,194093724,201141312,194093725,185869575,176439403,165784477,260861944,127983841,114098964,100068083,257780630,257780628,61346522,61346781,49864206,39841080,39841079,42787341,33756394,25948568,19284493,13785901,9452024,9452025,13785903 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11415087, s2 = 376556, dlinesl.size( ) = 74 s1 = 11540649, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13024917, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11322281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11322281, s2 = 7663049, int(edited[s2]) = 0 s1 = 11322281, s2 = 7663049, d1 = 72, d2 = 82 Dl.O(d1) = 261080422 Dl.O(d2) = 271548677 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11322281, s2 = 7663049, dlinesl.size( ) = 60 s1 = 11444811, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14362706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14362706, s2 = 11333508, int(edited[s2]) = 0 s1 = 14362706, s2 = 11333508, d1 = 4, d2 = 13 Dl.O(d1) = 185762710 Dl.O(d2) = 263161330,185762711,176316193,165644303 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14362706, s2 = 11333508, dlinesl.size( ) = 24 s1 = 11643027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11643027, s2 = 12443308, int(edited[s2]) = 0 s1 = 11643027, s2 = 12443308, d1 = 26, d2 = 0 Dl.O(d1) = 267658514 Dl.O(d2) = 247073630 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11643027, s2 = 12443308, dlinesl.size( ) = 2 s1 = 11643027, s2 = 12443308, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11643027, Dl.E( ) = 40, 1.6e-05 seconds used appending s1 = 6121317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6121317, s2 = 6041267, int(edited[s2]) = 0 s1 = 6121317, s2 = 6041267, d1 = 8, d2 = 4 Dl.O(d1) = 242108825,241715995,241290775 Dl.O(d2) = 240832243,240337898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6121317, s2 = 6041267, dlinesl.size( ) = 2 s1 = 6121317, s2 = 6041267, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 6121317, Dl.E( ) = 10, 4.05e-06 seconds used appending s1 = 11607571, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11273293, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12248675, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15330775, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15327059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15327059, s2 = 14291882, int(edited[s2]) = 0 s1 = 15327059, s2 = 14291882, d1 = 26, d2 = 46 Dl.O(d1) = 7752766,11637079,11381270,11379764,11379765,12003103,8057074,5148330,5148329,7560404,7560405,11369915,7553598,4776713,4776712,4779328,7102190,4471590,4471593,7102203,7557462,7555767,4780389,2880749,2880747,4780310,2880711,2880714,4780328,7559842,11378996,16352018,11380933,11380935,8226525,8226527,7557864,7557862,9972131,9972134,14432083,15545741,21560368,21567106,16343976,11372224,11372221,15544927,10751052,8188787,8188786,7915507,5032016,5032014,7915495,11843934,16355716,16355717,12205872,8237817,8237818,12205875,11381741,11381742,16343048,16343047,17295534,12174230,12174229,10747006,7100332,7100333,7561070,7561071,11380701,16354083,22526928,29866879,31090799 Dl.O(d2) = 33675088,31257845,23773084,17444039,12296379,12296378,17444033,23773072,31257831,25871582,25871581,33677569,33007262,33007260,33675368,33675367,25870235,19212139,19212138,23773028,17444007,17171468,17171469,23446929,30877251,32129455,24549343,18113370,17444010,17444011,23773032,31257771,25869543,25869542,25869606,25869607,33675389 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15327059, s2 = 14291882, dlinesl.size( ) = 2 s1 = 15327059, s2 = 14291882, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15327059, Dl.E( ) = 74, 3.1e-05 seconds used appending s1 = 14362852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14362852, s2 = 11241174, int(edited[s2]) = 0 s1 = 14362852, s2 = 11241174, d1 = 21, d2 = 8 Dl.O(d1) = 272202725,165183529,175893236,183363287,173566881,162534145,150403825,137362888,260401223,95182174,81123783 Dl.O(d2) = 259914202 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14362852, s2 = 11241174, dlinesl.size( ) = 2 s1 = 14362852, s2 = 11241174, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14362852, Dl.E( ) = 22, 6.91e-06 seconds used appending s1 = 14145124, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14145124, s2 = 11616460, int(edited[s2]) = 0 s1 = 14145124, s2 = 11616460, d1 = 27, d2 = 42 Dl.O(d1) = 266063464 Dl.O(d2) = 274909362 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14145124, s2 = 11616460, dlinesl.size( ) = 28 s1 = 13060759, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13060759, s2 = 5887413, int(edited[s2]) = 0 s1 = 13060759, s2 = 5887413, d1 = 38, d2 = 29 Dl.O(d1) = 266507487,237433207,236633808,266419559,232571371,233734206,234792290 Dl.O(d2) = 236778091,266323700,265852904,264481366 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13072528, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13072528, s2 = 10156661, int(edited[s2]) = 0 s1 = 13072528, s2 = 10156661, d1 = 28, d2 = 42 Dl.O(d1) = 126398146,136163917,122201468,107796191,270807078,126504649,126504650,136163925,122201469,107796194 Dl.O(d2) = 75444527,62522616,50919654,40800787,40800788,40800785,40800786,268732065,32721043,257121411,32041423,24477136,18055544,18055545,255607229,18055543,12800263,8702933,5665215,3523803,3523802,5665214,254597412,8718035,8718031,5674749,254404832,268009829,5674738 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13072528, s2 = 10156661, dlinesl.size( ) = 2 s1 = 13072528, s2 = 10156661, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13072528, Dl.E( ) = 62, 3.81e-05 seconds used appending s1 = 14098518, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13072708, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13072708, s2 = 11041940, int(edited[s2]) = 0 s1 = 13072708, s2 = 11041940, d1 = 19, d2 = 33 Dl.O(d1) = 231668574 Dl.O(d2) = 61460574,49982609,49982610,42721466,33691404,25884777,19225040,19225039,25884774 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13072708, s2 = 11041940, dlinesl.size( ) = 18 s1 = 11519355, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11519355, s2 = 10371536, int(edited[s2]) = 0 s1 = 11519355, s2 = 10371536, d1 = 0, d2 = 70 Dl.O(d1) = 223343135,225583334,227531859,229235600,230741544 Dl.O(d2) = 274605911,235115934,235115932,266298246,266256499 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11519355, s2 = 10371536, dlinesl.size( ) = 60 s1 = 11079951, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079951, s2 = 8622391, int(edited[s2]) = 0 s1 = 11079951, s2 = 8622391, d1 = 25, d2 = 30 Dl.O(d1) = 28407929,256304209,255454139,11152388,11152386,16061482,22188993,29531823,29252055,29252054,37817299,47739625,47124115,47124114,47124124,37226405,37226406,255462352,98720349,268943428,139944384,152651377,164501429,164501434,152651380,139944386,139944385,152651379,164501433,175275642,175275641 Dl.O(d2) = 273332533,164501426,175275639,184836563,193184435,184836567,175275647,164501435,152651380,139944386,256939620,98720349,268943428,139944384,152651377,164501430,175275645,259995256,139944386,139944385,259995254,152651376,139944383,258129170,164501426,175275639,272210470,206401650,211407479,274268081,167388943,261295364,30867103,30867102,254978802,8331952,5377502,254593329,255174237,23830888,23059921,16812245,16812244,23059920,29167284,21858138,15786033,10936168,267886895,254230893,903798,509727,509729,285752,285755,509769,903847,1589876,2698016,1562946,1562947,2698017,4490758,5279176,5303250,5241450,5241451,5302302,3253106,1910496,1910497,3253109,3202931,3202930,3245550,5294371,8175802,12071595,8227993,5299005,3249852,1908068,1908067,1918441,1118108,1118106,1957443,1904476,1904475,3244840,2257158,1310017,747830,747831,1310020,2257161,3767258,6021871,8152034,8149236,5220904,5220905,8149238,12118132,11041223,11041222,15919062,22020386,22029526,17235842,12117682,12117683,16769017,12137538,12137539,8191020,5260285,5260286,8191022,8180632,5250200,5250199,8180630,8198799,7311764,4615087,2779046,1612178,1612179,2779053,3248260,1906894,1906893,3248256,3235192,3235193,5281883,8210811,8278111,8236690,5309016,3259146,1914830,1093546,1093545,1914828,3259143,5309011,5269063,3223781,1889654,1889653,3223779,3358734,1974592,1127269,632126,350927,350926,632124,1127266,1974587,254585469,268250641,5462008,3358232,1974252,1127083,1127084,1974256,3358238,267888191,7303467,7303468,5291730,254265163,1086394,610002,339343,339344,186327,101866,101867,186334,339385,610095,1086575,1903470,3223522,1894382,1894379,1909003,1090063,254265787,5300096,8228814,12198000,8229167,5300526,267798541,1909267,3251367,5300524,8229163,255161999,23638839,31124791,39804980,49825919,49747812,39728760,31049911,23565508,17254146,17254147,17850094,12641294,8583372,5577446,5577445,268449411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079951, s2 = 8622391, dlinesl.size( ) = 20 s1 = 13073050, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13073050, s2 = 14201094, int(edited[s2]) = 0 s1 = 13073050, s2 = 14201094, d1 = 5, d2 = 15 Dl.O(d1) = 41167488 Dl.O(d2) = 264027992,194042529,185808584,176367757,176367756,262893308,155778407,143227852,129898635,116000604,101956128,87983133,74380618,258659032,257424682,256307112,23933640,31424152,257075301,61604070,74380619,87983135,101956129,116000606,129898636,143227855,155778408,167408814,177901435,177308575,166750779,155051331,142405442,129031037 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13073050, s2 = 14201094, dlinesl.size( ) = 12 s1 = 14364717, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12610571, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12610571, s2 = 4910406, int(edited[s2]) = 0 s1 = 12610571, s2 = 4910406, d1 = 0, d2 = 93 Dl.O(d1) = 15043244 Dl.O(d2) = 128797427,142152562,154787028,166493828,177075317,186430551,194584141,201567419,207444762,212291060,216250977,219533998,216609320,212703244,207924812,202126728,195228003,187157601,177887016,167392318 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12610571, s2 = 4910406, dlinesl.size( ) = 2 s1 = 12610571, s2 = 4910406, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 12610571, Dl.E( ) = 96, 2.31e-05 seconds used appending s1 = 13268140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7848808, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11594695, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594695, s2 = 632206, int(edited[s2]) = 0 s1 = 11594695, s2 = 632206, d1 = 53, d2 = 49 Dl.O(d1) = 239290995,239863417,240391950,240882257,241336429 Dl.O(d2) = 176184408,165508178,165508177,176184382,165508154,165508155,165508162,153731078,141064297,127713299,127713300,141064299,153731081,165508167,176184398,165508173,153731085,141064300,127713301,127713302,141064303,153731091,165508182,273351615,193895079,193895075,185642740,176184399,176184398,165508173,153731085,141064300,141064301,153731087,165508175,176184405,176184408,165508178,165508177,176184382,165508154,165508155,165508162,153731078,141064297,127713299,113842507,99826625,85872914,72280868,59546413,48159416,38250257,29685254,22333261,16186356,16186355,22315445,22315446,256399457,23119113,16859470,16859471,23119114,24070571,24070572,30537987,23119170,16859523,11791933,7874242,4999084,3020636,1755567,254128147,562665,999002,1755565,3020632,4999075 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594695, s2 = 632206, dlinesl.size( ) = 2 s1 = 11594695, s2 = 632206, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11594695, Dl.E( ) = 70, 3.29e-05 seconds used appending s1 = 15928919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15928919, s2 = 10593787, int(edited[s2]) = 0 s1 = 15928919, s2 = 10593787, d1 = 58, d2 = 63 Dl.O(d1) = 254902382,269010063,256095456,269058540,257750598,105262060,91051753,77146461,255237168,52181161,64015077,77146459,91051749,77146463,256095450,268727924 Dl.O(d2) = 46339665,36483541,28022049,28022050,268902059,28022052,20855261,20855262,255785641,14954309,10288205,10288206,14954310,20855255 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15928919, s2 = 10593787, dlinesl.size( ) = 2 s1 = 15928919, s2 = 10593787, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15928919, Dl.E( ) = 64, 1.38e-05 seconds used appending s1 = 11553987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13073898, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14363170, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11614933, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11487001, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11623715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11623715, s2 = 11506262, int(edited[s2]) = 0 s1 = 11623715, s2 = 11506262, d1 = 29, d2 = 25 Dl.O(d1) = 267257363,274851204,237712063 Dl.O(d2) = 274288200 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11623715, s2 = 11506262, dlinesl.size( ) = 30 s1 = 11545343, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14363208, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11276253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14113562, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14113562, s2 = 14366263, int(edited[s2]) = 0 s1 = 14113562, s2 = 14366263, d1 = 24, d2 = 21 Dl.O(d1) = 170729701,159379373,146996447,133746420,119876398,105637773,91411855,77480947,64316734,256917968,33141909,25402046,18812715,18812714,25402044,21200931,15235795,10510255,10510256,15235797,21200934,28424206,33407628,26686477,19867595,19867594,26686475,26686484,19867598,14234382,9785275,6433349,4035849,2418494,1399966,796836,796831,1399909,1062028,597089,332808,183213,183214,332791,596777,596780,835996,836001,882361,882363,1551964,1551960,1599888,909577,909578,1599937,2760005,3175511,5204793,6760445,6760443,6255910,3916250,2344190,2344189,3916241,6104705,3819724,3819725,5865715,6080382 Dl.O(d2) = 928180,928181,1632169,2813280,4669416,7390937,11142744,14950590,10284707,6760133,4236333,4236332,6760131,10284701,14950581,20850981,28017081,22171329,16047549,16047547,14950552,14950554,20850939,28017031,28017038,20850944,20850945,22171292,16047506,16047508,22171295,19051081,19051080,25671922,29512523,29549264,22205670,16075641 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14113562, s2 = 14366263, dlinesl.size( ) = 2 s1 = 14113562, s2 = 14366263, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14113562, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 10499641, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10499641, s2 = 7023975, int(edited[s2]) = 0 s1 = 10499641, s2 = 7023975, d1 = 64, d2 = 40 Dl.O(d1) = 192499161,184041361,174384864,163540923,151659145,151659146,163540925,263063453 Dl.O(d2) = 261508759 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10499641, s2 = 7023975, dlinesl.size( ) = 24 s1 = 13074590, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13074590, s2 = 13035648, int(edited[s2]) = 0 s1 = 13074590, s2 = 13035648, d1 = 1, d2 = 2 Dl.O(d1) = 112403306,126266237 Dl.O(d2) = 164230184,261843750,193009207,200198135,193886160 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13074590, s2 = 13035648, dlinesl.size( ) = 2 s1 = 13074590, s2 = 13035648, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13074590, Dl.E( ) = 6, 5.01e-06 seconds used appending s1 = 14138627, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11379061, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11379061, s2 = 11586870, int(edited[s2]) = 0 s1 = 11379061, s2 = 11586870, d1 = 48, d2 = 50 Dl.O(d1) = 261155955 Dl.O(d2) = 266566329 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11379061, s2 = 11586870, dlinesl.size( ) = 18 s1 = 11102937, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10396005, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11270515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11270515, s2 = 14298579, int(edited[s2]) = 0 s1 = 11270515, s2 = 14298579, d1 = 54, d2 = 80 Dl.O(d1) = 259249268 Dl.O(d2) = 72113190,259367269,99648314,269806448,47990448,256386592,16047999,254766881,4669495,2813314,2813310,4669477,7391043,11142953,16047890,22171787,17850078,12641286,12641285,17850073,24220405,31727009,36420199,36420200,30539669,30093598,22712023,17989559,17989560,20880306,28048621,25136147,25136149,29512612,22171463,22171464,29512607,22171497,16047709,11142838,7390990,7390991,11142843,14220985,19849724,21094021,15151852,10449637,10449635,15151848,12824820,8719316,5675525,5675524,8719310,12824809,18089954,24521562,32096731,32096730,32096721,32096723,40868500,34678640,34678639,34971313,26892093,20010932,20010934,26892097,21382942,21382943,28619673,37131607,47019079,58390320,60821267,258223629,257076132,47797472,257076130,21976397,29303913 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11270515, s2 = 14298579, dlinesl.size( ) = 72 s1 = 14051106, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13992673, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14363402, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 16366196, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13037715, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10576609, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11358437, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11358437, s2 = 10988002, int(edited[s2]) = 0 s1 = 11358437, s2 = 10988002, d1 = 68, d2 = 58 Dl.O(d1) = 261753570,115857662,115857643,115857644,101811645,101811646,115857649,258119254 Dl.O(d2) = 7393065,11146340,16052964,22178812,29521285,38085701,47997804,38430632,38430633,48335032,48335033,38430430,29869355,29869354,38430428,256664254,59720123,256147718,29869426,29869427,29869443,26159256,26159257,34001014,43059432,38430548,38430549,48335219,49760873,48335201,38430527,38430526,48335084,59720042,59384457,47995100,39130545,30531992,23113440,16854403,16854404,255232991,8881645,8881644,13040018,18364090,20108199,14418755,9917218,9917215,14418750,18063087,15819242,15819241,18514361,13154539,8966223,5853218,3653710,3653712,5853224,6518663,9387194,6995370,4396261,2634432,2634433,4395061,4395062,6993408,6993444,9917997,6518092,6518093,9918002,6996084,4396689,2634653,1521429,1521430,2634660,4396709,4396759,2634725,2634728,4091329,4091327,6529537,9934796,14416653,9915271,9915272,10603190,9919639,9919637,6537823,6537822,4096161,4096164,6537866,9136276,5978670,5978668,6569436,4115372,4115377,6569449,9995892,9995977,254344502,20107498,15445897,10678996,10600427,6993727,254729695,8719699,12825289,9919473,254975983,20108555,20108556,21317722,268070131,6994021,6994020,8719428,268125189,19231139,255029809,10602832,15348637,20110570,27000610,26998029,20107519,14417846,10601753,6994769,4395875,4395872,6994760,4405344,4395847,4084139,4084144,4396070,4396075,6995087,4396393,4396390,4395295,4395299,6993799,5613377,5613380,4085659,2444368,1413335,804143,455710,256862,142278,78002,78001,142254,256805,208755,208757,380154,682236,1209740,2101065,3530481,5676385,8720581,9921631,254316018,9124298,5970607,3733812,2235527,1296445,1296446,2235530,3733818,4397855,2635298,2635297,4397852,6997934,6520986,4913918,4091912,3734199,3734203,5971261,6234651,3903263,2337532,2337535,3903235,6234596,5971571,3751424,2246452,2246450,3751414,5998571,5896145,5896150,5971374,6415093,6415092,6415262,7032129,4423887,4423885,7032121,7011389,7011392,7058814,10623461,7035371,7035373,10009708,10649968,15407830 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11358437, s2 = 10988002, dlinesl.size( ) = 30 s1 = 13075878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11544103, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10738173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13668176, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13668176, s2 = 1196351, int(edited[s2]) = 0 s1 = 13668176, s2 = 1196351, d1 = 100, d2 = 88 Dl.O(d1) = 137571240,262587651,183476754 Dl.O(d2) = 257572485,38876976,30291091,255504047 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13668176, s2 = 1196351, dlinesl.size( ) = 70 s1 = 10562979, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11371491, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11371491, s2 = 3526913, int(edited[s2]) = 0 s1 = 11371491, s2 = 3526913, d1 = 66, d2 = 4 Dl.O(d1) = 263009429 Dl.O(d2) = 117438145,103302662,101125397,257061326,258218352,268975242 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11371491, s2 = 3526913, dlinesl.size( ) = 46 s1 = 11442095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14531632, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14531632, s2 = 14132403, int(edited[s2]) = 0 s1 = 14531632, s2 = 14132403, d1 = 98, d2 = 54 Dl.O(d1) = 49290316,55303818,67642541,81108911,259786915,109423963,123618013,137350586,138836265,138836266,151538886,163422389,174272171,174710555,262281612,152034601,139327285,125975135,112138046,98175371,84279148,70726732,58010925,46636222,36749379,28254175,21053556,15122603,10430653 Dl.O(d2) = 212753424 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14531632, s2 = 14132403, dlinesl.size( ) = 24 s1 = 268109, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11524713, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11524713, s2 = 4136920, int(edited[s2]) = 0 s1 = 11524713, s2 = 4136920, d1 = 45, d2 = 82 Dl.O(d1) = 224694375 Dl.O(d2) = 186296192,263936269,194469546,263194849,166322293,154602205 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11524713, s2 = 4136920, dlinesl.size( ) = 36 s1 = 11175143, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11175143, s2 = 6855239, int(edited[s2]) = 0 s1 = 11175143, s2 = 6855239, d1 = 0, d2 = 67 Dl.O(d1) = 71050063 Dl.O(d2) = 259313732 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11175143, s2 = 6855239, dlinesl.size( ) = 2 s1 = 11175143, s2 = 6855239, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11175143, Dl.E( ) = 94, 3.41e-05 seconds used appending s1 = 13085746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13062082, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13062082, s2 = 11348800, int(edited[s2]) = 0 s1 = 13062082, s2 = 11348800, d1 = 34, d2 = 39 Dl.O(d1) = 258258527,87879390 Dl.O(d2) = 262569748 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13062082, s2 = 11348800, dlinesl.size( ) = 44 s1 = 11615611, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11613773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10745676, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6938572, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13067973, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13079122, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11630151, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13068287, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15335301, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15335301, s2 = 13068288, int(edited[s2]) = 0 s1 = 15335301, s2 = 13068288, d1 = 7, d2 = 3 Dl.O(d1) = 57798929,46443787,36578724,28106791,20930360,15022357,10350163,6815025,6815026,7693934,4868981,2933969,2933970,4868984,7693937,4893480,2948992,2948989,4893474,7730224,9116869,7748697,4907299,2957846,2957845,4816968,4816965,4630217,2789365,1618311,1618307,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,7586648,6927276,4351843,2954815,2606324,1711115,1711117,1714456,1714460,2950401,2950180,2232985,1294989,1294991,2233013,3729698,2952110,2952112,4864795,4864800,4864840,4864857,2931439,2931441,2894659,2894662,4802582,4802651,2894720,2894715,2898191,1681622,1681626,2898211,4796016,4796015,7582519,8923152,267978673,7601197,6814186,6814185,10349190,15021573,11615650,7734970,4897134,4897135,4897142,2951336,2951338,267896359,4863995,2930934,2930933,4863992,7686932,9118631,5966416,5966418,9118624,13345342,255655357,21025924,15101860,10415967,10415966,15101854,16399368,16399367,11415866,11410624,11410623,7589244,7589245,11418734,11431468,7615411,4818409,2903704,2903706,4804833,2895853,1680442,955851,538831,538835,955874,1680501,2895974,2948119,2948118,4892131,7728484,11430722,9955068,6542808,4099078,2452070,2452068,1682206,1682205,2899375,4810783,7604153,4810684,2899340,2899342,4810701,7604182,254390960,4352515,254493593,10506569,15230816,21194486,21234449,15265351,10532960,6946392,4377380,4377377,4375948,4375947,4377248,4377247,6967396,4377203,4377201,6936123,4375963,4375962,6965234,10560422,15295813,12255732,8380757,8380756,9250894,12062981,10545081,7484808,7484806,6954375,5193779,5193775,4374795,2620562,2389241,2389240,3986415,6353458,9661715,10767362,10767363,12407810,17579818,23921149,18969438,268027349 Dl.O(d2) = 255269163,25577861,33337165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15335301, s2 = 13068288, dlinesl.size( ) = 2 s1 = 15335301, s2 = 13068288, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15335301, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 14358004, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14358004, s2 = 549104, int(edited[s2]) = 0 s1 = 14358004, s2 = 549104, d1 = 49, d2 = 47 Dl.O(d1) = 259098623,65745669,53688943,43178074,256178693,19515824,13969797,9592660,6297597,3945135,2361939,1367651,778911,441899,249020,137532,137535,249037 Dl.O(d2) = 441964,771652,438370,438368,441964,771652,438370,438372,441983,779173,1368275,2363127,3946836,6299284,9594433,13971836 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14358004, s2 = 549104, dlinesl.size( ) = 42 s1 = 15331805, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447853, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11449185, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11292299, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11292299, s2 = 15015115, int(edited[s2]) = 0 s1 = 11292299, s2 = 15015115, d1 = 25, d2 = 32 Dl.O(d1) = 120080017,133923148,262477611 Dl.O(d2) = 213924179,209460207,204020107,264361947,213924177,217589033 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11292299, s2 = 15015115, dlinesl.size( ) = 2 s1 = 11292299, s2 = 15015115, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11292299, Dl.E( ) = 34, 9.06e-06 seconds used appending s1 = 13079388, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11545383, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545383, s2 = 7462294, int(edited[s2]) = 0 s1 = 11545383, s2 = 7462294, d1 = 1, d2 = 25 Dl.O(d1) = 227829799 Dl.O(d2) = 266892351 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545383, s2 = 7462294, dlinesl.size( ) = 24 s1 = 11545631, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11545631, s2 = 11589674, int(edited[s2]) = 0 s1 = 11545631, s2 = 11589674, d1 = 20, d2 = 43 Dl.O(d1) = 274397842 Dl.O(d2) = 242073225,241679327,266971224,266870634,239759865,240295380,240792239,240792238,266870634,266752874 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11545631, s2 = 11589674, dlinesl.size( ) = 28 s1 = 11515105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11304153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11304153, s2 = 7276512, int(edited[s2]) = 0 s1 = 11304153, s2 = 7276512, d1 = 10, d2 = 61 Dl.O(d1) = 126971426 Dl.O(d2) = 264871110 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11304153, s2 = 7276512, dlinesl.size( ) = 36 s1 = 11399033, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11399033, s2 = 4669636, int(edited[s2]) = 0 s1 = 11399033, s2 = 4669636, d1 = 16, d2 = 18 Dl.O(d1) = 175641054,171015666 Dl.O(d2) = 188334862 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11399033, s2 = 4669636, dlinesl.size( ) = 38 s1 = 13080158, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11516163, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11516163, s2 = 11002082, int(edited[s2]) = 0 s1 = 11516163, s2 = 11002082, d1 = 66, d2 = 74 Dl.O(d1) = 265592837 Dl.O(d2) = 256726884,44798768,41987505,33043727,33043720,33043721,41987501,42812627,33780056,31552109,24048285,24048284,25699468,33472352,42465644,49792538,39772837,31094599,31094598,33472335,38378082,256202802,16827128,11766976,11766973,12854409,18128159,22237635,24791649,24970861,24046952,17694203,17694202,24046949,31550696,268406945,16294901,16294899,22463073,24117092,17755943,17755946,24117094,18128365,12854535,12854533,18128208,12854444,12854443,18128224,20316326,20316324,26281095,28222832,24569346,18128679,18128676,21402804,15415798,15415795,16270730,16270732,22353011,22353010,25677709,25677710,19061539,255317322,31214493,25127736,18575103,18575102,25127733 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11516163, s2 = 11002082, dlinesl.size( ) = 48 s1 = 11596049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13080616, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16379907, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16379907, s2 = 892687, int(edited[s2]) = 0 s1 = 16379907, s2 = 892687, d1 = 58, d2 = 1 Dl.O(d1) = 32328210,24712984,18240801,12938860,12938861,17045310,11957751,8004825,5096095,5096096,8004826,11957753,11252181,7469402,7469403,8131992,8131989,8131980,8131982,12092344,9887843,8345170,8345173,7193493,7193496,4648806,2800289,1624420,1624418,2800278,4648770,6483485,6483488,9869671,14362955,14373404,10912882,7217224,7217221,10912873,15757760,20067150,21779505,15720524,15720525,21779508,29077448,26226230,19511281,13966097,13966095,19511279,21781345,21699863,15659856,10840733,7166665,7166664,10840731,15659851,21699851,28982217,255070120,23282955,21700328,15660225,254744493,4513914,7166841,10840997,15660231,21700344,256347583,28982781,28982780,37526727,47434325,49936307,39918389,31242872,31242873,37526223,37526222,47433870,39938853,31263860,31263861,39918489,39918488,39918769,31243165,23758922,17431578,12286283,8297285,254845465 Dl.O(d2) = 22758693 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16379907, s2 = 892687, dlinesl.size( ) = 2 s1 = 16379907, s2 = 892687, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 16379907, Dl.E( ) = 60, 1.5e-05 seconds used appending s1 = 11439483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11439483, s2 = 15325968, int(edited[s2]) = 0 s1 = 11439483, s2 = 15325968, d1 = 43, d2 = 19 Dl.O(d1) = 194641872,262776710,194664716,263208529,177171625 Dl.O(d2) = 219583074,219583073,219583075,264910094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11439483, s2 = 15325968, dlinesl.size( ) = 40 s1 = 10514081, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10514081, s2 = 14218473, int(edited[s2]) = 0 s1 = 10514081, s2 = 14218473, d1 = 12, d2 = 29 Dl.O(d1) = 28575878,22243697,16107050,11188038,7423484,4691067,2826608,2826609,4691069,7423488,11188047,16107041,22243683,29592287,256540819,24079036,17721894 Dl.O(d2) = 17721871,12537839,12537838,13407866,13407867,18820233,15344690,15344689,21315495,17753319,12561643,12561642,12537910,8499294,5500810,3390368,1997743,1141790,1141789,1997741,1744370,991163,557466,254127695,1744363,3003715,4973104,7834531,8891730,5800390,5800389,8891726,8515591 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10514081, s2 = 14218473, dlinesl.size( ) = 32 s1 = 11596933, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11596933, s2 = 8339794, int(edited[s2]) = 0 s1 = 11596933, s2 = 8339794, d1 = 99, d2 = 76 Dl.O(d1) = 239671555,239671560,240215097,274882345,242381844,267019776,240718268,266926248,240307500,266874626,266757662,274805373,239771699,274838044,266757664,274758600,266620614,239084483,239671560,240215097,274882345,242381844,267019776,240718268,266926248,240307500,266874626,239191445,266884009,240804623,241265269 Dl.O(d2) = 60118520,48723438,38802426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11596933, s2 = 8339794, dlinesl.size( ) = 62 s1 = 11621499, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11621499, s2 = 8978522, int(edited[s2]) = 0 s1 = 11621499, s2 = 8978522, d1 = 36, d2 = 69 Dl.O(d1) = 267293537 Dl.O(d2) = 244097031,267256384,243940384 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11621499, s2 = 8978522, dlinesl.size( ) = 36 s1 = 11480773, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11480773, s2 = 7708103, int(edited[s2]) = 0 s1 = 11480773, s2 = 7708103, d1 = 7, d2 = 22 Dl.O(d1) = 264212844 Dl.O(d2) = 192453074,192453075,199739325,264701106,163488124,163488123,263465371,273316655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11480773, s2 = 7708103, dlinesl.size( ) = 12 s1 = 11096359, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096359, s2 = 11612408, int(edited[s2]) = 0 s1 = 11096359, s2 = 11612408, d1 = 11, d2 = 33 Dl.O(d1) = 258327649 Dl.O(d2) = 266666031,238859829,274831595,274918028 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096359, s2 = 11612408, dlinesl.size( ) = 26 s1 = 11415501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11415501, s2 = 6501358, int(edited[s2]) = 0 s1 = 11415501, s2 = 6501358, d1 = 45, d2 = 40 Dl.O(d1) = 262144814 Dl.O(d2) = 255281407 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11415501, s2 = 6501358, dlinesl.size( ) = 68 s1 = 11601425, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11601425, s2 = 11353464, int(edited[s2]) = 0 s1 = 11601425, s2 = 11353464, d1 = 97, d2 = 107 Dl.O(d1) = 267041755 Dl.O(d2) = 152474042,164342730,175136741,184714684,264464631,264958741,265363219,226258046,265978451,232498572,266318233,235700427,235609239,266043986,265776188,265457186,265071798,218634364,215212153,211057444,262884988,184098099,260812476,118166632,104011169,89886439,89886393,89886394,104011134,102697761,88688456,75037662,62214685,50694774,40635635,40635634,50694772,42145853,33186496,33186497,42145856,52504045,64377838,77546102,77980364,64786544,52867739,42463956,33470527,33470526,25697328,25697327,33470524,42463953,52867738,55660405,44752058,35325653,27201457,20274445,20274444,27201455,35325652,44752056,268383970,81544323,95574958,109775196,123912154,137593183,150593278,162695236,173706725,173706726,183486774,188529644,273101670,157832528,145430689,132199623,118381608,104221046,104221045,104221047,260224525,132199625,261927443,142595799,262317571,177458875,186766848,263957771,207653187,212468885 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11601425, s2 = 11353464, dlinesl.size( ) = 74 s1 = 11201853, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11201853, s2 = 11348512, int(edited[s2]) = 0 s1 = 11201853, s2 = 11348512, d1 = 15, d2 = 19 Dl.O(d1) = 66861370 Dl.O(d2) = 260969313 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11201853, s2 = 11348512, dlinesl.size( ) = 20 s1 = 11310087, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13081212, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13081212, s2 = 5707986, int(edited[s2]) = 0 s1 = 13081212, s2 = 5707986, d1 = 47, d2 = 57 Dl.O(d1) = 86484160,100441396,114465925 Dl.O(d2) = 233474349,232284078,230965663,229495084,227839970,225955653,223795744,221303636,218394176,214931385,210721914,261569790,199338923 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13081212, s2 = 5707986, dlinesl.size( ) = 24 s1 = 15333326, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11158245, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15332117, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14364563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14364563, s2 = 15305801, int(edited[s2]) = 0 s1 = 14364563, s2 = 15305801, d1 = 33, d2 = 31 Dl.O(d1) = 1314539,2266104,3782954,6046124,9231903,13493997,18921525,13489179,13489174,14177571,14177573,15880165,21974308,21974311,29301584,29623174,25490325,25490320,29373396,22271792,18157171,18157172,24605812,29401096,29401095,34660933,26668420,22731555,16526301,16526302,22731559,30111835,27118197,27118196,35209841,28916511,21642068,15610193,10800162,7136107,7136106,10800160,15610189,21642059,16379458,16379459,11399543,11399541,16379484,18922281,22043186,25055343,25439207,22273754,22273753,19511899,13966541,9589903,9589902,13966533,19511879,21465214,18924959,15960946,13495751,9233042,6046792,3783330,3783328,4595811,7287589,6045323,6045322,6045209,6045210,6411628,7870596,4996448,3018854,3018857,4996459,7870614,11787133,16853849 Dl.O(d2) = 39129704,49059637,60463197 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14364563, s2 = 15305801, dlinesl.size( ) = 28 s1 = 14364567, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12870536, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13082458, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11380183, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11278205, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14364693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14364693, s2 = 14371885, int(edited[s2]) = 0 s1 = 14364693, s2 = 14371885, d1 = 25, d2 = 9 Dl.O(d1) = 44795278,44795277,55702884,59624553,48237534,38327662,255804792,28242440,36737514,46625481,39005232,30415901,23010785,16771192,11725255,7827736,4968652,4968653,7827743,11725272,16771220,23010838,30415963,39005325,35040408,26960561,26960560,35040400,35040482,26960624,20076904,20076906,26960631,35040495,44414712,44795395,44795396,47276763,37366762,32082693,32082691,40854743,40858845,40391541,40391540,40391520,31698687,31698686,39005297,39005266,39005265,256805254 Dl.O(d2) = 259946823,85093590,71521378,58791772,257467021,37496399,37496400,47404206,37496361,255852493,15635688,15635689,21673232,28953672,37496363,37496394,37496395,47404245,58791769,71521374,85093581,99018872,113007223,126859723,126859694,113007180,99018827,85093530,85093529,99018825,260547233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14364693, s2 = 14371885, dlinesl.size( ) = 2 s1 = 14364693, s2 = 14371885, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14364693, Dl.E( ) = 26, 1.22e-05 seconds used appending s1 = 11103363, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16330109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16330109, s2 = 15340741, int(edited[s2]) = 0 s1 = 16330109, s2 = 15340741, d1 = 95, d2 = 84 Dl.O(d1) = 236868123,236012715,235071940,266097666,231649414,231649413,230254890,228685705,226902929,224856898,224856899,226902930,228685707,230254891 Dl.O(d2) = 268137963,17364839,16714321,255508105,16616983,11590684,7715516,4883410,4883409,7715514,11590683,14337194,9849217,7145482,4499372,2703602,1566611,1566613,2703611,4499384,4498465,4498463,7144149,6497193,4071205,2436122,1408777,1408780,2436033,2436032,4065524,4533742,2725297,1579165,897796,897798,897785,897786,897753,506487,506485,897747,1579051,2725066,4533338,254747747,9879292,14373291,20058105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16330109, s2 = 15340741, dlinesl.size( ) = 48 s1 = 13082918, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14930189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14930189, s2 = 14369154, int(edited[s2]) = 0 s1 = 14930189, s2 = 14369154, d1 = 11, d2 = 6 Dl.O(d1) = 84344481,70785505,256967222,58067748,58067747,51611432,51611431,257178068,64184090,64184089,77331359,76367943,63335484,257155533,41385266,41385242,41385243,46695487,46695486,258025275,46695568 Dl.O(d2) = 258650083,258650087,70785643,84344603,73218902,60472319,50874822,50874821,62473047,75388878,72983997,60754405,60754404,73503448 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14930189, s2 = 14369154, dlinesl.size( ) = 14 s1 = 13083246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11620581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11123109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15332358, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10859061, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519387, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15332419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15332419, s2 = 11294324, int(edited[s2]) = 0 s1 = 15332419, s2 = 11294324, d1 = 14, d2 = 24 Dl.O(d1) = 33186186,26118400,19425024,13898463,9537649 Dl.O(d2) = 221133983,218198911,214704146,210455865,205256314,198973090,263381242,172992731,262018992 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15332419, s2 = 11294324, dlinesl.size( ) = 14 s1 = 11361737, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11367021, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11367021, s2 = 11154992, int(edited[s2]) = 0 s1 = 11367021, s2 = 11154992, d1 = 21, d2 = 33 Dl.O(d1) = 158628190 Dl.O(d2) = 259491711,258244863,49851966,39828533,31146323,31141390,31141389,39824148 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11367021, s2 = 11154992, dlinesl.size( ) = 46 s1 = 12275699, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12275699, s2 = 6703109, int(edited[s2]) = 0 s1 = 12275699, s2 = 6703109, d1 = 35, d2 = 11 Dl.O(d1) = 268310405,13831299,9486692,9486691,13831297,268310403,33833998,42876616,53340065,53340062,53340063,65341220 Dl.O(d2) = 257525891,22364855,22364856,20912031,255791381 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12275699, s2 = 6703109, dlinesl.size( ) = 20 s1 = 12272239, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12272239, s2 = 11507753, int(edited[s2]) = 0 s1 = 12272239, s2 = 11507753, d1 = 64, d2 = 58 Dl.O(d1) = 4430643,7040853,10661416,13052313,18378087,19277648,13780394,9448247,6194307,5712226,3555584,3555585,5712235,8771340,12895649,9136676,9136675,9550130,9550131,13914690,18751597,13350401,254645971,3733149,2235192,1296294,1296295,2235195,3733160,3733010,2235119,2235120,3733015,4415531,4415532,5971780,5969015,3732917,3732919,4083591,2443283,2443280,2443299,2443300,3530322,254427051,8720244,255216567,256065371,257125573,62626944,258947697,89323528,89323520 Dl.O(d2) = 222780455,220079615,220079617,216882437,216882438,220079620,222780462 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12272239, s2 = 11507753, dlinesl.size( ) = 18 s1 = 13074773, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13084116, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11506041, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11584315, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11584315, s2 = 6801547, int(edited[s2]) = 0 s1 = 11584315, s2 = 6801547, d1 = 30, d2 = 61 Dl.O(d1) = 236630380 Dl.O(d2) = 42633291,33607961,255965178,19161887,25809818,33607964,42633295,53081419,65064287,65064334,53081477,53081476,57761974,46940403,46940402,58306599,258668973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11584315, s2 = 6801547, dlinesl.size( ) = 34 s1 = 14365032, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16328919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11449697, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449697, s2 = 11392258, int(edited[s2]) = 0 s1 = 11449697, s2 = 11392258, d1 = 99, d2 = 75 Dl.O(d1) = 264165603 Dl.O(d2) = 166320454 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449697, s2 = 11392258, dlinesl.size( ) = 2 s1 = 11449697, s2 = 11392258, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11449697, Dl.E( ) = 126, 4.32e-05 seconds used appending s1 = 16308029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16401364, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16401364, s2 = 16260533, int(edited[s2]) = 0 s1 = 16401364, s2 = 16260533, d1 = 45, d2 = 35 Dl.O(d1) = 7706557,4877376,2938892,1704233,1704234,2938897,4877381,7706569,11578019,16600841,22820555,28089077,20915465,256046668,27247510,35371760,32151146,32151145,35378429,27253715,20320662,20320661,27253713,31214491,35065050,26981589,21086687,15146657,10446282,10446283,15146662,21086697,15455325,15455326,20322286,254736042,18571874,13197445,13197444,18571873,18570838,13198715,8997477,8997478,13198717,18573637,25126004,25123265,18573607,18573608,18571184,18571183,25122886,25124197,18572185,13197695,13197694,18572183,18572176,18572175,18572206,13197706,13197705,18572200,257175239,41748998,52062788,269961615,257764656,65321103,53322296,256621080,42861298,33820221,33817536,33817535,257241427,257067454,33820245,33820244,33665882,33665883,42696763,33820538,26003328,26003327,255473920,52050468,41735834,41735798,32815144,25112011,18562344,18562343,25112010,32815143,257174313,63869593,76980590,90858840,105037509,119229892,133059930,272599716,134902217,121100996,106841534,258868258,65205286,53219443,42769701,33739710,25932648,25932647,31058941,23575381,23575380,31058936,33782746,25972368,19305341,19305342,25190061,25190060,25299050,25299051,21711252,21711253,25972633,19305544,13803552,13803551,19305539,25972630,33782958,42815515,42815703,34651203,26659830,19845554,19305470,19305473,22099616,15990246,11100463,11100464,13803512,9465784,9465785,13803516,19305485,17946940,17946941,24336957,31859158,40560906,50601988,53268393,42815710,33783175,25972837,25972835,31859647,24337571,19305618,19305616,25972724,25972690,19305589,13803577,9465814,6206619,3884772,3884773,6206623,9465818,13803584,13803595,13803596,19305614,25972525,19305459,13803497,9465773,6206603,6206602,8641299,5619944,5619945,8641302,11100483,7361527,4649994,4649993,7361521,11100472,15990265,22099648,17947609,17947608,22135980,16019720,11122845,11122843,16019715,19268562,25930609,22099597,22099594,29431391,37993613,33738097,25931300,25931301,33738102,37893747,37893748,37893763,34603718,34603719,31859614,24337526,21996069,15897443,15897442,21996067,21996064,15897439,15897437,21996061,29325673,29325675,37893720,33025272,255653401,9107664,9107665,13329452,9107668,9107669,254914531,5959336,3726841,3726839,5959332,9107483,9107470,9107468,9107676,9107677,13329463,18724029,13329148,9107458,5959318,5959319,9107462,9107515,13329201,13329203,18724106,268141089,13329376,13329325,9107583,5959391,5959392,9107588,13329332,18724267,16031685,13329252,9107573,5959385,3726863,2231379,2231378,3726859,5959380,9107566,254914565,9107603,9107604,9107627,13329400,9107696,5959441,5959442,9107699,9107429,9107428,13329102,18723973,25298607,18724399,18724398,25298766,18724126,13772139,9441592,6189268,6189269,5959342,3726846,3726847,5959344,9107498,255252485,19268224,13772423,9441827,9107594,9107593,13329343,18724281,23632918,17316964,12192146,12192145,9107537,5959363,3726852,3726851,5959359,9107526,13329150,18724033,25298667,18724311,13329367,13329365,18724308,25298922,33025225,31279873,23793967,19268930,19268928,19830125,19830124,19268991,13773080,9442664,6190127,6190129,9442668,13773407,13329225,9107511,5959350,5959351,9107513,13329228,13772875,13772874,19268757,19268970,19268969,25930813,19268796,19268795,13773027,13773028,9442329,9442201,6189762,3873748,2319683,1344739,1344738,2319638,3873683,6189641,3874034,2319873,2319874,3874037,6190164,6189851,3873820,2319734,1344774,1344776,2319741,2319839,3873981,6190067,9442580,268151882,9441637,6189916,6189917,9442396,6190141,6190142,9442681,13773430,19269391,20251114,19268264,13772460,13772459,19268261,25929935,25930224,25930283,19268194,13772383,9441791,6189404,3873534,2319552,2319551,3873531,6189398,9441783,13772373,13772284,13772285,19268059,15442676,15442678,19268016,13772264,9441712,9441713,13772270,19268027,19268575,19268574,19268581,19268856,23136352,23136351,19268106,19268105,19268090,13772309,9441741,6189368,3873516,3873517,6189372,9441748,13772303,13772302,9999051,9999052,14531241,9998819,9998818,14531238,19268202,13772387,13772389,13560943,9441718,9441717,13560950,19001752,25615560,25729511,19097722,255133730,6115688,3826437,3826438,6115689,9336708,9998947,9998948,254983983,254983981,255756717,256759507,270143447 Dl.O(d2) = 258545627,77873115,64683522,258421033,64683522,52769223,269088093,33381023,25615249,19001475,13560655,9284251,6081888,254302105,2279701,1325136,1325135,1327588,1327587,2288263,3819447,2299202,1334058,1334057,2299196,3814267,3814266,6096335,6102730,6077834,3824759,3824757,3831664,6101532,8703694,5665805,3837252,2298872,2298867,3837226,6133294,6133475,6125493,6125491,9305232,11683413,254930259,9284250,13560654,19001473,25615248,33381021,42370116,52769222,64683521,77873114,91795536,105990254,120190790,134024160,147241049,159596397,170921145,181036356,189910392,197562152,204077563,209513456,274147449,217634743,220689649,223288341,225534657,227488409,229196436,230706007,232051301,233263419,234361243,235360117,236271024,237102314,237861035,238551036,239183133,239763501,266934201,240795995,267026949,242076555,242439321,242776299,243090021,243384846,243660566,267282624,243744873,243475780,243186204,242877357,242545265,242188697,241803543,241385980,240935479,240449140,239924876,266751818,238071168,237333358,236523049,235636016,234662608,233596070,232423904,231127497,229681084,228051017,226193658,224060402,221600802,218736978,215344406,211238375,206213228,200136348,192940022,184551246,174944889,164123539,152236561,139505462,126130802,112271787,98290147,84381227,70823165,58107523,46736941,36854823,256838795,46829551,36951522,36951523,46829552,46742103,36860558,30154263,22766055,22766052,30154259,38736537,36860614,36860613,39857679,46741503,36859934,36859933,46741502,49970021,49970028,39953425,31278506,23792677,19593839,19593838,26319493,34191438,36860572,36860574,256481675,23353960,17086188,11998624,8051424,8051423,11998622,17086183,23353952,30777986,28180965,28180966,36657414,41476519,46752042,47834195,59231706,257049260,113514204,127384017,140739894,153421029,165223232,175929139,185416082 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16401364, s2 = 16260533, dlinesl.size( ) = 40 s1 = 14142791, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14142791, s2 = 11386964, int(edited[s2]) = 0 s1 = 14142791, s2 = 11386964, d1 = 59, d2 = 30 Dl.O(d1) = 226820345,228614244,230191406,231592129,232849319,233987504,235024692,274649250,235420257,234427138,234427125,233336000,266289585,235420242,236326900,266456566,266456562,266364404,233336019,232131819 Dl.O(d2) = 223444318,220875337,217861339,214254914,273400164 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14142791, s2 = 11386964, dlinesl.size( ) = 30 s1 = 16109507, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13085412, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13085412, s2 = 6308953, int(edited[s2]) = 0 s1 = 13085412, s2 = 6308953, d1 = 0, d2 = 124 Dl.O(d1) = 231048990 Dl.O(d2) = 267564122,246265912,246170437,246170436,246265911,246265910,275034081,245851857,245851858,267504393,246070506,267526957,246170441,246070522,245964604,267478849,267449845,245466236,267464753,275043334,275040467,246265913,267526963,246070516,245964598,245851859,245851860,245851864,245731988,267449845,245466236,245603839,245731987,245851861,245964600 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13085412, s2 = 6308953, dlinesl.size( ) = 18 s1 = 11572305, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10989607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14358266, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11195845, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11641563, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11641563, s2 = 11261434, int(edited[s2]) = 0 s1 = 11641563, s2 = 11261434, d1 = 87, d2 = 116 Dl.O(d1) = 247198665 Dl.O(d2) = 139570435,126195315,112334730,259284603 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11641563, s2 = 11261434, dlinesl.size( ) = 38 s1 = 11448839, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13087140, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12903931, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12903931, s2 = 11376308, int(edited[s2]) = 0 s1 = 12903931, s2 = 11376308, d1 = 36, d2 = 8 Dl.O(d1) = 260522875,271770109,272833848,98605643,84680487,258050653 Dl.O(d2) = 98567264,261650217,164383703,175172972,184747286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12903931, s2 = 11376308, dlinesl.size( ) = 34 s1 = 11458513, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14239342, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14239342, s2 = 14325497, int(edited[s2]) = 0 s1 = 14239342, s2 = 14325497, d1 = 3, d2 = 1 Dl.O(d1) = 19466056 Dl.O(d2) = 9368944 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14239342, s2 = 14325497, dlinesl.size( ) = 60 s1 = 16360840, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15355580, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11408483, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408483, s2 = 13271374, int(edited[s2]) = 0 s1 = 11408483, s2 = 13271374, d1 = 16, d2 = 52 Dl.O(d1) = 179848481 Dl.O(d2) = 22004466,29335653 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408483, s2 = 13271374, dlinesl.size( ) = 34 s1 = 11215039, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10992963, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11430881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11056279, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16272068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10593786, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13088086, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11244653, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14362350, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11439607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13088592, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11431237, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11007801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11007801, s2 = 11617290, int(edited[s2]) = 0 s1 = 11007801, s2 = 11617290, d1 = 60, d2 = 33 Dl.O(d1) = 8004887,5096119,3093278,3093277,5096114,8004875,11956551,15563667 Dl.O(d2) = 242659595 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11007801, s2 = 11617290, dlinesl.size( ) = 18 s1 = 14362472, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11637749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637749, s2 = 9700583, int(edited[s2]) = 0 s1 = 11637749, s2 = 9700583, d1 = 65, d2 = 4 Dl.O(d1) = 246528275 Dl.O(d2) = 185774339,176329252,165660102,165660101,176329251,263907839 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637749, s2 = 9700583, dlinesl.size( ) = 30 s1 = 10759224, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11206425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16372481, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11560833, s2 = 8215039, int(edited[s2]) = 0 s1 = 11560833, s2 = 8215039, d1 = 59, d2 = 2 Dl.O(d1) = 266238785,232762529,232762528,233906360 Dl.O(d2) = 33230757,25482140,18879760,13454153,9200810,9200802,255666285,256646341,257055679 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11560833, s2 = 8215039, dlinesl.size( ) = 32 s1 = 14365882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11603177, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14365894, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541617, s2 = 2271122, int(edited[s2]) = 0 s1 = 11541617, s2 = 2271122, d1 = 27, d2 = 5 Dl.O(d1) = 264795496,219659189,216392480 Dl.O(d2) = 60799973 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541617, s2 = 2271122, dlinesl.size( ) = 12 s1 = 13089792, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13089792, s2 = 14894132, int(edited[s2]) = 0 s1 = 13089792, s2 = 14894132, d1 = 4, d2 = 11 Dl.O(d1) = 129467708,115582663,101546682,258390960,259481925,258390960,61204432 Dl.O(d2) = 49725653,256117024,255253414,12124117,12124118,12124141,17241081,255497628,254675463,3978639,2885816,2885817,4787761,7570546,7570547,11394314 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13089792, s2 = 14894132, dlinesl.size( ) = 6 s1 = 13081786, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13090068, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14366624, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535739, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14366043, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11306189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11306189, s2 = 7092340, int(edited[s2]) = 0 s1 = 11306189, s2 = 7092340, d1 = 7, d2 = 28 Dl.O(d1) = 261167113 Dl.O(d2) = 180637488,262457822,201927436,207750671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11306189, s2 = 7092340, dlinesl.size( ) = 26 s1 = 13090300, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11235715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11235715, s2 = 8460007, int(edited[s2]) = 0 s1 = 11235715, s2 = 8460007, d1 = 24, d2 = 38 Dl.O(d1) = 262080265,261133118,129035741 Dl.O(d2) = 263121260,177313147,262876142,166755514,155056032,155056031,155056029,155056027,142410215,129035744,115107258,258959490,257721512 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11235715, s2 = 8460007, dlinesl.size( ) = 34 s1 = 15333527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15334598, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15929780, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11531679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11428173, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14366146, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14366146, s2 = 11649732, int(edited[s2]) = 0 s1 = 14366146, s2 = 11649732, d1 = 25, d2 = 12 Dl.O(d1) = 186712395,262270692,201769165,263180936,263924478,209554227,209554225 Dl.O(d2) = 262146166 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14366146, s2 = 11649732, dlinesl.size( ) = 2 s1 = 14366146, s2 = 11649732, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14366146, Dl.E( ) = 26, 9.06e-06 seconds used appending s1 = 14367368, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14367368, s2 = 16301103, int(edited[s2]) = 0 s1 = 14367368, s2 = 16301103, d1 = 17, d2 = 13 Dl.O(d1) = 266068670,228874661,227112166,225092850,222769188,220067604,216870040,213012801,208294178 Dl.O(d2) = 178695121,168373460,156915377,144512334,131286936,117488428,103362291,89272601,75518327,62584690,50967355,40836897,32068311,24496937,18070083,12810617,8710158,8710161,12810626,18070109,24496994,28655946,32067133,24496078,24496080,32067073,32067069,33058945,42002592,50637596,40589795,31882766,31882762,32691969,25011385,18483445,18069878,18069883,24496601,24502404,20996492,15081953,10402771,10402776,6857499,6857501,10402885,15082143,20996839,28178795,32680417,32680419,30310899,30310897,32678011,41573753,38333235,29762631,29762630,24488123,24488125,32054187,25009466,18482125,13130620,8949187,5841312,5841311,8949184,5841321,5841320,8949201,13130626,10952264,10952263,15805507,21881260,29193172,23474499,17192786,17192785,23474492,18470606,18470605,13374529,9141161,9141160,13374523,16442141,16442140,18476010,18476009,22400400,16238997,11289749,11289748,11289709,11289708,11289715,11289706,11289708,11289715,11289706,11289708,7495639,4738248,2855688,1657342,1657341,2855685,4738237,5504466,3393300,1999828,1999829,3393301,5504468,8504116,12545077,17731781,24089320,31592662,31592634,31592633,36769976,37745214,39003366,30414168,30414169,39003368,40391789,256497752,46655149,46655150,48929044,39005336,30415977,25291915,25291914,24471116,18050909,12796600,12796601,13324599,18718240,24471080,18050889,12796590,12796586,18050879,23192736,16925688,16925690,23192747,21058300,21043471,15115398,10426105,10426106,15115405,21043483,15126512,10433257,6878237,6878238,6878482,6878441,6878291,6878289,10433363,10433557,15127030,21059434,28261115,31698254,36737618,28242567,21043619,15115474,10426145,10426141,15115459,11724862,7827510,7827509,6874040,4315182,4315180,6874031,10426013,15115256,21043238,23464357,17184938,17184936,23464396,30897813,36571308,36756108,46641794,36756522,36756521,39003743,39003744,36566658,28096069,20921240,15014377,10343131,10343130,15014372,20921222,15667319,15667318,21709230,28260324,28096143,28096142,33443536,33443537,42436457,40457994,36756321,28261204,21423813,15432207,15432209,21423825,21982467,15886766,11012784,11012783,15886740,16770424,23009597,24514190,25368393,18784580,18784581,25368398,25673374,25673375,21470765,15468609,15468610,21470769,22009791,22009788,23009704,23010340,30414542,25673471,19052162,19052166,25673488,29310201,28261059,21059394,15127003,10433539,10433540,9313116,6100636,3817079,2286753,1326624,1326621,2286739,3817047,6100575,9312907,13600609,19051942,24190413,24190416,24190489,31698500,40391281,255377408,33444465,255014452,24566741,24566740,32150082,36527628,38326321,29756854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14367368, s2 = 16301103, dlinesl.size( ) = 2 s1 = 14367368, s2 = 16301103, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14367368, Dl.E( ) = 18, 7.15e-06 seconds used appending s1 = 14147971, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14366204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14366204, s2 = 11613182, int(edited[s2]) = 0 s1 = 14366204, s2 = 11613182, d1 = 0, d2 = 19 Dl.O(d1) = 233453543 Dl.O(d2) = 241334867,241755773,242144336,242504571 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14366204, s2 = 11613182, dlinesl.size( ) = 2 s1 = 14366204, s2 = 11613182, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14366204, Dl.E( ) = 32, 1.1e-05 seconds used appending s1 = 14366264, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11119785, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119785, s2 = 7247087, int(edited[s2]) = 0 s1 = 11119785, s2 = 7247087, d1 = 185, d2 = 181 Dl.O(d1) = 39069468,32847172,268097958,9003576,5877672,3669622,2196511,2196509,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680,5877854,3669678,3669680 Dl.O(d2) = 199073820,191670531,191670532,199073822,205336575,264513292,210521345,210521344 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119785, s2 = 7247087, dlinesl.size( ) = 162 s1 = 13091468, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11263693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11263693, s2 = 11235760, int(edited[s2]) = 0 s1 = 11263693, s2 = 11235760, d1 = 9, d2 = 12 Dl.O(d1) = 257753344 Dl.O(d2) = 257842411 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11263693, s2 = 11235760, dlinesl.size( ) = 36 s1 = 13091558, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13091558, s2 = 15412236, int(edited[s2]) = 0 s1 = 13091558, s2 = 15412236, d1 = 9, d2 = 84 Dl.O(d1) = 21443335 Dl.O(d2) = 49143476,49143475,42188958,38932330,38932331,39216403,39216404,49143022,49142974,39216356,30619321,30619322,256469671,30619140,30619174,23197867,16929315,16929317,23197886,16929298,16929297,23197882,30619203,30619665,30619066,23197788,23197787,30618988,23197735,23197733,30618983,30676507,39215927,30618972,30618971,39215926,30619110,23197818,23197819,30619112,39215951,30618995,30619000,39215961,48934642,39216072,30619088,23197799,23197800,30619091,39216077,39216266,30619232,23197901,16929307,11848600,11848601,16929308,23197904,30619236,39216271,38433719,29874142,29874141,38433716,40913471,32135662,24554311,18117141,254788006,8736195,12846725,18117147,17842482,12634981,12634983,14196425,17844862,17844861,24214367,17843952,17843950,20963115,20963114,26394511,19660207,15053483,15053482,20963108,15867565,15867567,16690573,16690572,14086009,9688869,9688868,14086003,19651901,19651902,14229138,9781769,9781770,14229145,19860636,16658626,16658625,14229319,14229320,14919601,14919597,10872066,7188340,7188342,10872081,15705045,11547100,11547099,16565155,16565159,21202903,16978585,11891726,11891722,14085536,14085534,11075580,7344008,4638585,4638587,5574608,8579791,12636599,14195980,14195974,17839900,12633101,12633100,12633222,14198349,16052145,14095075,12030204,12030202,17119155,17119156,19819836,14197263,9759569,9759567,14197258,13082882,13082883,18419078,14229179,14229181,19860691,26390148,26390146,29726932,22370274,22370273,16575813,11556810,7690404,7690405,11556815,11268283,11268285,16210086,22363575,22598023,16415001,14086724,11548441,11548443,14096033,9695010,9695009,10843543,7168339,7168338,10843538,12583064,12583063,16566303,21478164,20796063 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13091558, s2 = 15412236, dlinesl.size( ) = 30 s1 = 13091588, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13091596, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13091596, s2 = 7319707, int(edited[s2]) = 0 s1 = 13091596, s2 = 7319707, d1 = 20, d2 = 21 Dl.O(d1) = 264645293 Dl.O(d2) = 265375132 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13091596, s2 = 7319707, dlinesl.size( ) = 26 s1 = 13091650, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10593272, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14099017, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15931887, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15333811, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15333811, s2 = 15067407, int(edited[s2]) = 0 s1 = 15333811, s2 = 15067407, d1 = 129, d2 = 125 Dl.O(d1) = 165109992,260568212,261694604,261145410,175834589,175834600,175834601,185339531,262211064,200737499,200737498,206733723,263883206,200737504,193631348,185339528,175834593,259968096,140616466,127270637,258724812,153296392,165109987,261694600,200737501,206733724,263130574,193631354,200737493,206733723,263883206,200737504,200737502,262211058,185339516,261694602,165110028,175834588,175834587,185339521,193631344,262691250,206733721,206733722,263130572,193631343,185339520,175834585,261145406,175834596,259968098,140616467 Dl.O(d2) = 37502587,37502586,268619971,21678099,21678098,28959732,256887323,58796894,47410015,257467559,71526093,63711669,63711670,76812640,90681146,99022533,99022534,113010401,113010402,259577836,259328245,259328243,113010348,261675161 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15333811, s2 = 15067407, dlinesl.size( ) = 64 s1 = 12836889, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12836889, s2 = 11010982, int(edited[s2]) = 0 s1 = 12836889, s2 = 11010982, d1 = 0, d2 = 0 Dl.O(d1) = 18088847,14007104,14007102,13163859,13163857,13618830,13034252,13034255,9564489,8953229,8953226,9529205,9441184,9441183,13771469,19266912,25928873,26899054,20016952,14336112,14336088,14336086,20016906,26898982,31136193,31136194,34978500,36874322,30438556,30438555,33557593,30761920,23339058,17072908,17072907,23339048,29811433,38383694,48294302,47329635,38384359,29811980,22444772,22444773,29811985,37452342,28912976,28912974,37452337,38384446,43206181,43206180,48294717,49429214,48294970,48294969,59681387,59681386,59770868,60700633,60700632,269331455,29249861,21929283,15842523,15215183,10495514,6920930,4348030,4348032,6920938,10495531,13425862,9179383,6008031,6008030,4348041,4348038,6920954,10495567,11320612,15059673,20969688,16933831,11851705,11851706,12708390,12708387,17935371,15059696,15059693,20969710,28148183,36622083,40541935,40170308,31844031,25936106,24323433,17935899,12708737,12708738,17935901,24322750,24322874,17935414,12708425,12708428 Dl.O(d2) = 18088847,14007104,14007102,13163859,13163857,13618830,13034252,13034255,9564489,8953229,8953226,9529205,9441184,9441183,13771469,19266912,25928873,26899054,20016952,14336112,14336088,14336086,20016906,26898982,31136193,31136194,34978500,36874322,30438556,30438555,33557593,30761920,23339058,17072908,17072907,23339048,29811433,38383694,48294302,47329635,38384359,29811980,22444772,22444773,29811985,37452342,28912976,28912974,37452337,38384446,43206181,43206180,48294717,49429214,48294970,48294969,59681387,59681386,59770868,60700633,60700632,269331455,29249861,21929283,15842523,15215183,10495514,6920930,4348030,4348032,6920938,10495531,13425862,9179383,6008031,6008030,4348041,4348038,6920954,10495567,11320612,15059673,20969688,16933831,11851705,11851706,12708390,12708387,17935371,15059696,15059693,20969710,28148183,36622083,40541935,40170308,31844031,25936106,24323433,17935899,12708737,12708738,17935901,24322750,24322874,17935414,12708425,12708428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12836889, s2 = 11010982, dlinesl.size( ) = 2 s1 = 12836889, s2 = 11010982, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 12836889, Dl.E( ) = 2, 1.91e-06 seconds used appending s1 = 11010981, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10481146, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10473290, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12245581, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14366515, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13996881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14004789, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13254282, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14486974, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14334246, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14334246, s2 = 14130414, int(edited[s2]) = 0 s1 = 14334246, s2 = 14130414, d1 = 24, d2 = 21 Dl.O(d1) = 13902819,254940117,9396723,9620915,6357770,3988899,2390547,1383758,1383760,2377536,1376176,1376178,1383781,2377539,1376176,1376178,1383781,2377539,1376176,1376174,2377530,2390332,3988424,6356761,9396428,13718097,13744543,9416993,6170075,3860815,2312952,1341788,1341792,1362535 Dl.O(d2) = 273531243 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14334246, s2 = 14130414, dlinesl.size( ) = 12 s1 = 14366657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13094160, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13099184, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13994383, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13094276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15331448, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13094484, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13094638, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13094638, s2 = 11273482, int(edited[s2]) = 0 s1 = 13094638, s2 = 11273482, d1 = 15, d2 = 24 Dl.O(d1) = 193181618 Dl.O(d2) = 270293004 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13094638, s2 = 11273482, dlinesl.size( ) = 2 s1 = 13094638, s2 = 11273482, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13094638, Dl.E( ) = 38, 1.22e-05 seconds used appending s1 = 11203101, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11203101, s2 = 7990601, int(edited[s2]) = 0 s1 = 11203101, s2 = 7990601, d1 = 32, d2 = 31 Dl.O(d1) = 67624919,67624918,67624921,55287002,44443022,35068966,35068967,269191733 Dl.O(d2) = 2415582,4030984,6160478,3854766,3854764,6160593,9403170,13726921,257825363,5186474,3164130,3164131,1852234,1852233,3164190,5186563,8095771,6110920,3823597,3823598,6110923,9329035,13623963,19072398,13615974,13615975,19072400,25654144,19035210,16266690,12622922,12622923,17827648,19035283,19035278,24196923,23812395,17478482,17478483,23812396,31298189,25621190,256141483,22436264,22436263,25712547,33487257,268226522,268304081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11203101, s2 = 7990601, dlinesl.size( ) = 24 s1 = 15279276, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13094784, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063883, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11451285, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11451285, s2 = 8769507, int(edited[s2]) = 0 s1 = 11451285, s2 = 8769507, d1 = 63, d2 = 66 Dl.O(d1) = 263114031 Dl.O(d2) = 264973805 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11451285, s2 = 8769507, dlinesl.size( ) = 46 s1 = 11497735, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11063237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11063237, s2 = 13773249, int(edited[s2]) = 0 s1 = 11063237, s2 = 13773249, d1 = 128, d2 = 150 Dl.O(d1) = 255974610,257020800,142364795 Dl.O(d2) = 272100987,261569783,262589957,262589959,137629777,137629778,150626294,262098633,262098631,150626294,262098633,137629776,137629775 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11063237, s2 = 13773249, dlinesl.size( ) = 108 s1 = 15336129, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15336129, s2 = 10273288, int(edited[s2]) = 0 s1 = 15336129, s2 = 10273288, d1 = 27, d2 = 38 Dl.O(d1) = 235853415,266595641 Dl.O(d2) = 229711441,265694758,224498573,222091086,219288655,215970670,211964430,207061304,201119273,201119274,264511579,215970672,218777321,221638998,224096436,265694761,265360406,222091090,265568485,226590443,224498560,274458030,230013810,231433322,274507478,226590474,226590475,228413125,266000567,266097326,228413120,226590470,224498576,224498577,226590473,265840880,226590422,224498544,222091063,219288639,215970659,211964426,264766869,219288638,222091060,265568479,228413055,230013771,231433288,230013814,228413096,226590453,226590452,228413095,265974227,232451275,233622062,266210438,230013807,228413086,228413087,230013808,230013832,228413116,265535998,222091087,219288655,215970670,211964430,207061304,201119273,201119275,207061302,207061303,211964427,264997125,219288646,215970666,215970665,219288643,222091071,265568481,228413077,266233121,231433294,230013776,228413060,226590423,224498544,224498543,226590421,228413058,230013774,230013825,230013824,231433335,231433310,231433311,231433314,230013805,230013782,228413062,226590424,265725205,230013780,228413107,228413106,230013800,231433309,232704648,231433287,230013770,230013771,231433288,230013772,228413057,265869371,231433289,232704650,274667127,274691169,233622068,232451279,232451278,231433337,230013828,228413112,226590465,224498571,224498570,226590463,265869381,230013818,230013817,265974222,265974218,266000559,232704656,231433301,230013791,228413071,228413072,230013792,228413101,265869379,231433330,231433341,266210442,232451284,266314638,232704652,231433292,230013773,228413057,265869371,231433289,232704650,274667127,274691169,233622068,232451279,232451278,231433337,230013828,228413112,226590465,224498571,224498570,226590463,265869381,230013818,230013817,265974222,265974218,266000559,232704656,232704657,265974220,228413068,228413067,266000559,232704656,231433301,231433302,230013823,230013822,231433333,231433308,231433307 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15336129, s2 = 10273288, dlinesl.size( ) = 28 s1 = 11047285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11582945, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11582945, s2 = 7186393, int(edited[s2]) = 0 s1 = 11582945, s2 = 7186393, d1 = 50, d2 = 26 Dl.O(d1) = 236343564,235439582,235439581 Dl.O(d2) = 263734566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11582945, s2 = 7186393, dlinesl.size( ) = 54 s1 = 15336150, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15336150, s2 = 10344695, int(edited[s2]) = 0 s1 = 15336150, s2 = 10344695, d1 = 126, d2 = 104 Dl.O(d1) = 266910674,267048858,274877675,274598646,233835910,233835911,274598648 Dl.O(d2) = 76363247,76363246,90190753,88060395,88060397,88060449,88060450,88060534,102045802,88060614,74448533,61664557,61664559,61664540,61664541,65574211,78909284,85786896,72192889,257191672,38151038,29585042,22237367,22237366,29585040,38151036,39363400,30762164,23339254,23339255,25827122,33629140,42658017,50415986,40381483,31687620,268262645,8557683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15336150, s2 = 10344695, dlinesl.size( ) = 102 s1 = 15769745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13096008, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14360718, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11283035, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11283035, s2 = 8985349, int(edited[s2]) = 0 s1 = 11283035, s2 = 8985349, d1 = 2, d2 = 86 Dl.O(d1) = 115148090 Dl.O(d2) = 244103527,267211156,274921524 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11283035, s2 = 8985349, dlinesl.size( ) = 56 s1 = 11366693, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11366693, s2 = 11339450, int(edited[s2]) = 0 s1 = 11366693, s2 = 11339450, d1 = 35, d2 = 86 Dl.O(d1) = 145972101 Dl.O(d2) = 265757416,263630574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11366693, s2 = 11339450, dlinesl.size( ) = 40 s1 = 15339986, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11159073, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11159073, s2 = 11499272, int(edited[s2]) = 0 s1 = 11159073, s2 = 11499272, d1 = 26, d2 = 19 Dl.O(d1) = 259439104,255958630,255129892,9002328,5877049,3669625,2196510,2196509 Dl.O(d2) = 217343462,274575471 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11159073, s2 = 11499272, dlinesl.size( ) = 38 s1 = 13089658, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14287842, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15332126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15332126, s2 = 11503082, int(edited[s2]) = 0 s1 = 15332126, s2 = 11503082, d1 = 91, d2 = 128 Dl.O(d1) = 70783010,257081372,98248904,112227027 Dl.O(d2) = 211548031,211548029,206561927,200527348,193380061,185051288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15332126, s2 = 11503082, dlinesl.size( ) = 66 s1 = 10747710, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368285, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12260555, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 12861792, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 7145165, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13097028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15335496, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15335496, s2 = 7801284, int(edited[s2]) = 0 s1 = 15335496, s2 = 7801284, d1 = 0, d2 = 69 Dl.O(d1) = 247795135,247801541,247807572 Dl.O(d2) = 267708321,247905825,247908708,275095619,267712281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15335496, s2 = 7801284, dlinesl.size( ) = 40 s1 = 11122637, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11559057, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11559057, s2 = 13056849, int(edited[s2]) = 0 s1 = 11559057, s2 = 13056849, d1 = 19, d2 = 30 Dl.O(d1) = 266207347,234656362 Dl.O(d2) = 235084516,235084517,234051176,232916835 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11559057, s2 = 13056849, dlinesl.size( ) = 36 s1 = 13097186, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11325121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14154507, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14154507, s2 = 11641706, int(edited[s2]) = 0 s1 = 14154507, s2 = 11641706, d1 = 129, d2 = 131 Dl.O(d1) = 244131315,243890123,267286407,244355420,267354447,244355413,244355399,244131306,244131307,244355401,274985711,244563027 Dl.O(d2) = 246708875,246774325,246836816,246897072,246954848,247009090,247059597,267625701,247146246,247105380,247059599,247009091,247009090,247059598,247105378,247146244 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14154507, s2 = 11641706, dlinesl.size( ) = 52 s1 = 14367347, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14367347, s2 = 10148044, int(edited[s2]) = 0 s1 = 14367347, s2 = 10148044, d1 = 74, d2 = 0 Dl.O(d1) = 265691322,228046940,265532130,274400088 Dl.O(d2) = 12169809 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14367347, s2 = 10148044, dlinesl.size( ) = 44 s1 = 1921505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 1921505, s2 = 6449712, int(edited[s2]) = 0 s1 = 1921505, s2 = 6449712, d1 = 38, d2 = 33 Dl.O(d1) = 49748254,39729308,31050504,23566177 Dl.O(d2) = 254593124,23870461,31364943,256014494,19447706,26145029,33076248,25346006,18765035,13362304,9132119,9132120,13362306,18765040,256635029,52359381,259648115 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 1921505, s2 = 6449712, dlinesl.size( ) = 32 s1 = 11174687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11174687, s2 = 15338101, int(edited[s2]) = 0 s1 = 11174687, s2 = 15338101, d1 = 24, d2 = 23 Dl.O(d1) = 58244254,58244255,70960756,84524210,84524213,73452694,60704434,49302603,39375394,30774246,30774248,39375397,49302607,60704442,73452704,87070183,259382668,87070181 Dl.O(d2) = 101065676,87070172,87070173,101065678,101065681,87070177,73452697,73452698,87070179,73452699,257524964,101065683,115140716,101065680,87070176,73452696,256402882,39375396,39375397,49302607,257524966,28501479,36998896,46877304,258039417,73452694,60704434,49302603,39375394,30774246,30774248,39375397,49302606,58244263,256851119,28501482,21283298,21283297,28501479,36998895,46877302,58244255,70960756,84524210,84524213,73452694,60704434,49302603,39375394,30774246,30774248,39375397,49302607,60704442,257524968,259290653,112435854,126300905,139674080,152397564,261725748,139674080,152397564,139674084,126300906,112435856,98446227,84524214,70960761,58244258,46877306,36998897,28501481,21283298,15319913,11056654,11056655,10581518,10581517,6983505,6983503,10586104,10588642,10586467,10585998,10585997,6983623,5869820,5869821,4388888,2629461,1952197,1952198 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11174687, s2 = 15338101, dlinesl.size( ) = 2 s1 = 11174687, s2 = 15338101, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11174687, Dl.E( ) = 26, 1.5e-05 seconds used appending s1 = 11294323, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11294323, s2 = 15332420, int(edited[s2]) = 0 s1 = 11294323, s2 = 15332420, d1 = 18, d2 = 24 Dl.O(d1) = 262018993 Dl.O(d2) = 18485124,25014019,29716226,22360349,22360348 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11294323, s2 = 15332420, dlinesl.size( ) = 2 s1 = 11294323, s2 = 15332420, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11294323, Dl.E( ) = 44, 1.72e-05 seconds used appending s1 = 15334723, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15334723, s2 = 15212196, int(edited[s2]) = 0 s1 = 15334723, s2 = 15212196, d1 = 104, d2 = 117 Dl.O(d1) = 258756851,259999891,127735797,141089103,262239739,176217446,185677406,193928656,200997795,264505641 Dl.O(d2) = 265997577,228378260,228378259,265830700,265524468,219441037,219233569,219233570,222043391,222227196,219441042,216142303,212160764,207286821,201376315,201376316,207286822,212160766,216142306,219441046,222227205,224618884,226695517,226552299,224456338,224456339,226552272,274347323,222043338,222043395,219233545,215904793,215904792,219233542,219233498,219233499,222043345,224456313,224456298,224456299,224614528,226552339,224456389,222043403,222043404,222404894,219644211,216375672,212434028,207614117,201768936,194825437,186711939,177396281,177396282,186711942,194825441,201768942,207614128,212434048,216375708,219644258,222404967,224456349,226552315,228378255,228505397,226695509,226695508,265721657,224456408,265201787,219233574,222043374,224456342,224456327,224456294,224456295,226552256,265419506,265026292,226552340,224456390,222043403,222043404,222404894,219644211,216375672,212434028,207614117,201768936,194825437,186711939,177396281,177396282,186711942,194825441,201768942,207614128,212434048,216375708,219644258,222404966,224774443,224456353,224456354,224456359,224456360,222404963,265721655,226552318,226552358,265391627,274100235,206958127,200997803,193928661,263155045,165538338,153758633,262239739,176217446,263548423,264220969,211881615,215904777,219233509,222043356,224456294,224456295,226552256,226695511,224618872,224618873,222227199,219441043,216142303,212160764,207286821,201376315,201376316,207286822,212160765,215904778,215904779,219233524,222043378,265564729,222043434,265564741,228378230,226552273,274347323,222043338,222043395,219233545,215904793,215904792,219233542,219233498,219233499,222043345,224456313,224456298,224456299,224614528,226552339,224456389,222043403,222043404,222404894,219644211,216375672,212434028,207614117,201768936,194825437,186711939,177396281,177396282,186711942,194825441,201768942,207614128,212434048,216375708,219644258,222404967,224456349,265721653,224456418 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15334723, s2 = 15212196, dlinesl.size( ) = 30 s1 = 8670214, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14367524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13098324, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13098324, s2 = 7943154, int(edited[s2]) = 0 s1 = 13098324, s2 = 7943154, d1 = 38, d2 = 71 Dl.O(d1) = 26437882,26437702,26437703,34315942,26437886,26437466,19698422,14123861,9717047,6392455,4011664 Dl.O(d2) = 254792740,17126918,12036175,8091678,5184085,5184082,5022786,4380977,4380978,6973780,9258072,9258073,10549412,6957470,6957471,10549420,10528644,10528643,10556704,8472374,8472373,12506819,15295479,10560051,6964981,6964982,10560055,10544368,6953942,4369364,4369366,4369335,2617799,1856235,1059402,595716,595715,1059394,1856218,2721027,2721026,4526561,7185057,5958813,3726484,3726481,5958804,7297030,7297031,6957661,6957662,6958020,6958022,6954595,6954594,9252203,6946847,6946848,4375921,2621156,1953833,1953838,3321734,3795411,3795412,4375955,2621172,2611428,2611431,4358474,2619925,2619931,2231117,2231122,3726424,5198729,3171698,3171699,5198732,4110546,4110549,6561397,9250372,9250371,9262320,6066485,6066482,6968786,8112552,5197416,3171030,3171031,5197375,8112409,8108922,8108921,255150805,17149285,255536921,25661885,25661884,33430232,40967756,32188103,24600619,18153126,12872637,8754166,5699529,5628859,5628858,8653841,12734990,12872609,8754134,5699507,5699506,5699566,8754209,12872680,8755276,8755277,11975795,11921021,7975324,7975322,11921019,12017183,12017184,11921107,11921106,16286225,11328206,11328205,16286223,11907721,254130146,5089394,7994957,11944487,8077009,8077011,8077661,5172498,3154131,3154130,5064370,5064372,4516830,2714523,2714525,3077820,5075434,7975678,11921066,7993282,5088079,5088080,7968961,7968962,7970379,11330732,7527937,7527935,7527916,7527913,7988920,5084696,3084351,3084350,4092789,2448666,2448667,3085391,5086049,4757187,4757188,6763781,6763780,8059560,5151666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13098324, s2 = 7943154, dlinesl.size( ) = 36 s1 = 13098462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15517898, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15517898, s2 = 14367587, int(edited[s2]) = 0 s1 = 15517898, s2 = 14367587, d1 = 7, d2 = 5 Dl.O(d1) = 23736027,17411320,17411321,23736029,21200154,15235278,10509963,6930576,4354457,2608296,1505396,1505401,2608318,4354513,6930701,10510216,15235700,21200222,15235778,15235780,17959536,12726774,12726775,17959543,24352594,28424074,36922570,46800754,58168210,70882390,84439793,258711886,112332850,126193570,139568787,152298704,164181899,262200780,174997732,273110326,200175510,206248468,211270124,215373364,214735122,210495247,205306248,199038915 Dl.O(d2) = 183014998,173157733,162049595,261856566,136666994,122814463,108526936,94217010,80144432,66718715,60880386,60880385,73631206,73631208,63039290,51358174,41172349,37092420,37092418,28586442,28586444,21355814,21355818,19954227,14288873,14288877,9830775,6457977,4047755,2423316,2423313,4045348,2422588,2422585,4045377,6453167,9816492,14287929,19739307,14146769,14146773,19739326,26462065,34353371,43478711,54041180,54070842,54054982,54054979,43492176,34360710,34360708,34550285,34550288,43814545,54548252,49495913,39553024,30935215,30935214,39553073,39688973,49703746,61178906,258304945,50652918,40602857,31893866,31893867,40602859,50652920,49207931,39281593,30684651,23267697,22677773,16480797,11483312,11483313,16480802,22677781,22700609,16497139,16497138,22677833,25126569,25126568,28429373,25584968,25584966,31648444,38954137,42016453,36928183,29053070,21758608,15703612,10870849,7187462,7187461,10870844,15703600,21758590,29053049,256306703,21212404,15245014,15245015,21212406,28437490,36936936,37202519,28679453,21430624,15437227,10672133,10672131,15437220,21428332,15435555,10671003,7047876,7047877,10671006,15435561,255834681,37199416,41480773,41480772,51750266,59966914 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15517898, s2 = 14367587, dlinesl.size( ) = 2 s1 = 15517898, s2 = 14367587, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15517898, Dl.E( ) = 8, 4.05e-06 seconds used appending s1 = 14367588, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14367611, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14367611, s2 = 2720753, int(edited[s2]) = 0 s1 = 14367611, s2 = 2720753, d1 = 80, d2 = 0 Dl.O(d1) = 72474987,86073101,257476026,100036305 Dl.O(d2) = 78038921 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14367611, s2 = 2720753, dlinesl.size( ) = 42 s1 = 13098694, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13098694, s2 = 11508522, int(edited[s2]) = 0 s1 = 13098694, s2 = 11508522, d1 = 1, d2 = 156 Dl.O(d1) = 33032031 Dl.O(d2) = 274648200,266049224,265782712,217322407,213591095 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13098694, s2 = 11508522, dlinesl.size( ) = 34 s1 = 13098830, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14367660, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14367660, s2 = 16216568, int(edited[s2]) = 0 s1 = 14367660, s2 = 16216568, d1 = 15, d2 = 17 Dl.O(d1) = 204120986,197612909,189970004,181106597,171001630,262232274,134125706,120294593,120294594,106094199,91899279,77974764,64780279,52860693,52860692,64780276,259053229,260295473,120294591,134125704,134125705,147338212,159686556,171001628,171001626,171001627,273452443,189969998,189969999,197612905,204120979,204120978,264369357,214006181,217663229,217663227,217663228,220715031,223311842,265647675,225556110,223311846,220715035,217663232,214006182,209551194,204120983,197612907,197612908,204120985,209551195,214006183,217663234,220715037,223311847,225556116,227508255,229215202,230723959,232068335,233279387 Dl.O(d2) = 235371981,266556843,237109961,237867254,237728119,236956048,236108943,235178350,234156432,274612026,234156431,233033381,231790950,231790951,233033383,234156434,233033385,231790953,230408270,228852214,227085509,225061537,222731689,220019824,216807882,212932518,208191797,202443188,195601544,187599812,178409390,167996320,156432696,143925832,130618317,116793424,102700839,88691635,75040702,62217554,50697379,40638181,31922425,31922426 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14367660, s2 = 16216568, dlinesl.size( ) = 2 s1 = 14367660, s2 = 16216568, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14367660, Dl.E( ) = 18, 2.29e-05 seconds used appending s1 = 11514373, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11514373, s2 = 11559168, int(edited[s2]) = 0 s1 = 11514373, s2 = 11559168, d1 = 38, d2 = 49 Dl.O(d1) = 222051126,224463411,224463412,226558692 Dl.O(d2) = 234881981,234881997,234881996,235836883,235836884,266498318,234881983,233833815,266095556,231408272 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11514373, s2 = 11559168, dlinesl.size( ) = 44 s1 = 16010045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13099990, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15331930, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11178119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11178119, s2 = 11430882, int(edited[s2]) = 0 s1 = 11178119, s2 = 11430882, d1 = 0, d2 = 8 Dl.O(d1) = 71656371 Dl.O(d2) = 185181052 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11178119, s2 = 11430882, dlinesl.size( ) = 14 s1 = 16379462, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11519969, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 12949657, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13100878, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13100882, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14367928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11641705, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14150505, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14150505, s2 = 6397785, int(edited[s2]) = 0 s1 = 14150505, s2 = 6397785, d1 = 0, d2 = 69 Dl.O(d1) = 239164884,266881779,240283081 Dl.O(d2) = 247646450 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14150505, s2 = 6397785, dlinesl.size( ) = 14 s1 = 13101288, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14325498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10788517, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11540651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11540651, s2 = 10361923, int(edited[s2]) = 0 s1 = 11540651, s2 = 10361923, d1 = 29, d2 = 67 Dl.O(d1) = 265871087 Dl.O(d2) = 267178476,267071556,241718408,266985713,266832231 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11540651, s2 = 10361923, dlinesl.size( ) = 46 s1 = 11460215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460215, s2 = 12556476, int(edited[s2]) = 0 s1 = 11460215, s2 = 12556476, d1 = 14, d2 = 12 Dl.O(d1) = 203989758,203989759,262996488,182483931,182483930 Dl.O(d2) = 257855574 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460215, s2 = 12556476, dlinesl.size( ) = 2 s1 = 11460215, s2 = 12556476, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11460215, Dl.E( ) = 20, 8.11e-06 seconds used appending s1 = 14368063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15333080, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15333080, s2 = 14137162, int(edited[s2]) = 0 s1 = 15333080, s2 = 14137162, d1 = 2, d2 = 0 Dl.O(d1) = 265996275,232668618,266134266,230845854,232174126,266134268,229360531,265740920,265661407,229360530,230845855,266186553,232174127,232174128,233373111,234460696,266244536,230845847,229360522,227686118,265809885,230845851,232174128,233373111,234460696,266244536,232174123,233373112,233373121,232174138,230845857,229360532,265740920,265661407,229360529,230845856,232174135,233373120,232174131,232174126,266134268,266070875,232174124,230845848,229360523,227686118 Dl.O(d2) = 232174130,233373116,233373115,233373121,232174138,230845857,229360532,265740920,223585849,221058771,218104573 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15333080, s2 = 14137162, dlinesl.size( ) = 2 s1 = 15333080, s2 = 14137162, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15333080, Dl.E( ) = 6, 4.05e-06 seconds used appending s1 = 13101782, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368084, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14368084, s2 = 11553350, int(edited[s2]) = 0 s1 = 14368084, s2 = 11553350, d1 = 26, d2 = 17 Dl.O(d1) = 263858646,218821189,221680557 Dl.O(d2) = 265700340 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14368084, s2 = 11553350, dlinesl.size( ) = 14 s1 = 13095667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368145, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11398441, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11402019, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13102416, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11114977, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11114977, s2 = 11184858, int(edited[s2]) = 0 s1 = 11114977, s2 = 11184858, d1 = 14, d2 = 10 Dl.O(d1) = 257507501,72096508,85683044,99632125,99632127,99632126,85683045,85683044 Dl.O(d2) = 113645704,127517282 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11114977, s2 = 11184858, dlinesl.size( ) = 10 s1 = 11590607, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368208, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14368208, s2 = 13811618, int(edited[s2]) = 0 s1 = 14368208, s2 = 13811618, d1 = 109, d2 = 146 Dl.O(d1) = 266960351,241484792,241894989,242273434,267160921 Dl.O(d2) = 264068372,214531925,263732170,221026156,264639122,223558461,264368766,218064502,214531926,210234459,204976582,198631136,191141051,182438546 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14368208, s2 = 13811618, dlinesl.size( ) = 62 s1 = 8504155, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12773673, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12773673, s2 = 15336230, int(edited[s2]) = 0 s1 = 12773673, s2 = 15336230, d1 = 5, d2 = 12 Dl.O(d1) = 19171168,13690204,9375767,6141984,3843061,2302718,1336266,1336269,2302726,3843078,6142027,9375835,13690298,9426539,6176669,6176670,9426543,8696310,5660283,5660285,3520250,3520247,2296871,2296875,3833622 Dl.O(d2) = 3833701,6126839,6126836,6280015,9570269,9354147,9354146,9421202,13749841,19244026,13818570,9476741,6213775,254667317,13818571,16297548,16297547,22465669,23936122,17592835,12418133,8393413,8393409,12418122,17592815,23936103,17795420,12596132,12336755,12336756,12670417,8604547,8604546,12670415,17888003,19900601,14256058,14255627,14255626,14599509,14256142,10419704,10419708,7840229,7840227,11742984,16794748,12160448,12160451,12564430,12564431,17335835,13318875,13318876,15595561,10788680,7128055,7128054,10788678,7534733,7534732,11338289,16296088,18705306,15410640,10652122,10652123,14929922,14929924,15631343,20832236,14933779,14933780,14940355,14940356,11509239,7656364,4844560,4844561,7656368,9473806,11509261,11509260,16514854,20839369,14940041,10275297,6752740,6752741,10275302,11729888,7831037,7831038,10263897,10263900,10044632,6600871,6600869,6600819,4135454,4135455,6601090,10045031,14598450,20340530,21620790,20339144,14597139,10984620 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12773673, s2 = 15336230, dlinesl.size( ) = 10 s1 = 13102746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13102774, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13621955, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16381151, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11236869, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13102918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13102918, s2 = 6607963, int(edited[s2]) = 0 s1 = 13102918, s2 = 6607963, d1 = 34, d2 = 90 Dl.O(d1) = 246298758 Dl.O(d2) = 18560866,25110423,25110484,18560912,18560910,254907155,8991179,255243557,25110650,25405183,25405184,26575395,19773239,14163076,14163075,19773238,26575394,32813094,26575283,26575284,33145336,32812758,32812757,41733312,32812929,32812930,25405067,25405068,33145232,42099395,52452216,44795616,39799197,31118646,23632007,23632005,25405085,18815224,13404079,9164089,9164088,13404076,18815219,25405071,33145240,257194927,52452294,269322476,64319753,63867804,52048682 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13102918, s2 = 6607963, dlinesl.size( ) = 28 s1 = 14368284, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14368284, s2 = 5048891, int(edited[s2]) = 0 s1 = 14368284, s2 = 5048891, d1 = 79, d2 = 21 Dl.O(d1) = 205866418,210967505,215136508,274260439,223544735,221009376,218044661,218044662,274320987,265346933,223544734,221009376,218044661,218044662,218044660 Dl.O(d2) = 209494204 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14368284, s2 = 5048891, dlinesl.size( ) = 28 s1 = 15282365, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15282365, s2 = 10352003, int(edited[s2]) = 0 s1 = 15282365, s2 = 10352003, d1 = 70, d2 = 55 Dl.O(d1) = 256997547,60266984,260050125,128478178 Dl.O(d2) = 257531540,101762261,101762232,101762230,115808359,129707062,129707078,129707077,143037834,143037817,143037818,155587856,262154816,98326226,84416531,258030842,256842504,21181641,15220674,15220675,21181643,28402398,36899648,30923152,29177524,29176478,29176477,29176587,37737482,36941905,28442399,21216696,267788730,10519327,15002092,15002093,10942087,10942085,15793294,21866960,23777655,23777653,29176425,21865937,17447590,12298850,254591031,3294336,3294337,5359286,8306398,12298859,15793037,15810062,15810063,21866377,15804424,15804423,21879878,16299779,11341388,7536970,7536968,11341382,16299762,22467870,21880049,21880051,21886355,15809974,15809973,21881612,21881611,29176469,29176468,29177495,29177494,29193882,30004215,37754979,38887900,37738252,29177490,21866969,15793298,10942087,10942085,15793293,21866957,254515322,37733343,42911581,42911583,255041670,59902428 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15282365, s2 = 10352003, dlinesl.size( ) = 52 s1 = 14007185, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15329501, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11109313, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15335519, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15335519, s2 = 11273834, int(edited[s2]) = 0 s1 = 15335519, s2 = 11273834, d1 = 70, d2 = 25 Dl.O(d1) = 16034566,11133497,11133499,16034571,20131453,14438533,14438534,15043303,15043305,20952130,15322066,14377803,14377805,15322071,20063696,20040638,14366240,14366238,15491398,10712637,10712635,15491389,15983892,19510805,26225596,29422265,30058212,22681423,22681422,26950904,20066310,20066312,21167560,21167563,25233188,21783304,21605019,21605016,15985378,15985374,15985296,15985293,22092868,19804792,19804791,21825998,23931752,23931751,23931740,23931741,20017443,14336608,14336609,20017448,26899575,34979019,37511227,37511224,47419015,58806301,70969988,254687004,39028846,39028845,48951074,255740480,29084752,29493521,30199551,38783862,39029419,39029418,30724236,23306577,23306576,23307498,21463096,15462522,15462521,21463095,20045194,14359913,9867243,9867244,14359915,9993792,6568074,4114563,4114564,6568077,9993799,14524320,17045734,17045736,23306989,25532670,18921931,13489531,13489532,15462070,21462535,26951744,20067213,20067212,26951742,267967288,21780332,15721486,15721487,21780342,23033912,16790362,15719359,15719357,21778480,26943648,26951703,20067148,20067150,21779505,20017511,17659725,12488064,12488062,17659711,20052154,20052156,20051700,14366204,14366203,10912596,8356493,8356496,12366805,11096337,7417525,7417529,4687438,4687441,7417575,11179586,254338690,29422113,36603425,28129554,268047570,44389382,35024424,26943658,21778478,21778480,26943648,26951703,20067148,20067150,21779505,21779503,29077445,29133751,21826656,21826655,26958252,26958253,35038237,36878116,46756820,41773100,32851891,25144966,25144967,23832926,19224712,267765238,9408192,13733198,19224722,15727500,15727502,21786011,20071438,20071435,26955543,20075688,14393248,14393246,17943205,17943203,23355250,23358372,22093331,22093333,20075952,20075955,26959626,23034163,23034164,23401084,30828843,268921281,47315020,37406378,28865166,28865165,29084554,29084553,255601122,30721547,23304028,23304029,17062638,17062639,23329139,25409176,255552590,77487207,91417974,86700218,73096794,73096795,86700222,86700213,86700214 Dl.O(d2) = 85658460,88175324 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15335519, s2 = 11273834, dlinesl.size( ) = 60 s1 = 10485309, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13103486, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15336330, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14368425, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11654629, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11654629, s2 = 13080615, int(edited[s2]) = 0 s1 = 11654629, s2 = 13080615, d1 = 52, d2 = 61 Dl.O(d1) = 64575134,77757722,91684820,260879231,105891913,105891912,91684814,91684813 Dl.O(d2) = 231922798,230561440,230561441,231922801,233148941,234257726,266273661,233148933,266373301,234257723,233148943,231922803,230561442,230561443,231922796,233148933,266373301,234257723,233148937,233148931,231922795,230561438,229031974,227297357,225311834,274305629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11654629, s2 = 13080615, dlinesl.size( ) = 12 s1 = 14368443, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11389637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11389637, s2 = 8007151, int(edited[s2]) = 0 s1 = 11389637, s2 = 8007151, d1 = 33, d2 = 65 Dl.O(d1) = 159261496 Dl.O(d2) = 176398465,185836637,194066940,201119021,207061106,210694006,205539307,199307539,191941982,183379749,173585275,162554459,150425415,137385276,123653805,109461105,95206349,81149141,67683209,55343513,256747827,27032817,20139936,20139935,27032815,28165896,35119768,268374653,15073266,10396333,6853021,4300701,2571303,1480357,1480356 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11389637, s2 = 8007151, dlinesl.size( ) = 18 s1 = 11468197, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11468197, s2 = 14371077, int(edited[s2]) = 0 s1 = 11468197, s2 = 14371077, d1 = 28, d2 = 60 Dl.O(d1) = 201076706 Dl.O(d2) = 255141025,7976847,5076324,5076326,5390262,8351233,9877683,9877684,7145588,7145589,7194470,4532403,4532405,7194448,9899392,9899390,14393111,10812461,7145155,4499149,2703449,2703448,4499147,7145153,10812458,14376124,9882073,9882072,14365285,15723531,11118669,11118668,268173717,14371412,9964227,6548674,4102578,2454037,1418628,1418627,2438849,2438850,2728287,2728286,4539111,7204731,9897646,14391527,10894026,10894029,14356678,9889067,9889065,14383481,14389658,9895453,9895454,14389660,10894291,7204959,7204958,10894289,254688709,4539259,2728369,1580736,1580737,2728372,4539263,7204942,9964304,10813156,14360696,10894245,7204926,6490412,6490413,9879170,14373197,9896813,6504071,6504070,255326971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11468197, s2 = 14371077, dlinesl.size( ) = 54 s1 = 14368501, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14368501, s2 = 5476427, int(edited[s2]) = 0 s1 = 14368501, s2 = 5476427, d1 = 94, d2 = 118 Dl.O(d1) = 273138204,166081106,263185673 Dl.O(d2) = 216416091,274287679,226015852,225799178,223617064,221098034,218152614,274066005,263777107,182738514,273485487,198840460,262999330,172837345 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14368501, s2 = 5476427, dlinesl.size( ) = 30 s1 = 13105364, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11309767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11447195, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11447195, s2 = 13758360, int(edited[s2]) = 0 s1 = 11447195, s2 = 13758360, d1 = 14, d2 = 39 Dl.O(d1) = 199079633 Dl.O(d2) = 164762183,152932822,140243293,140243294,152932824,164762185,175512864,185050813,193379672,264480619,206561601,206561602,206561603,200527007,193379666,185050806,185050807,193379668,200527010,200527011,193379670,185050808,175512859,261210358,118337533,258169110,76240977,63225401,51512203,51512204,51112696,51112695,51512191,63225389,76240970,90050124,270339736,260033844,145382579,157783735,169216185,262270480,188495374,189086759,180136918,169962440,260764738,258928052,104967366,119160673,132993680,132993684,132993683,119160676,104967368,104967369,119160666,258305014,257112140,41682217,32766194,25069631,254620636,8972635,8972634,13163802,18527598,13163804,254285778,3656320,3656319,254091118,3617240,2160085,2160081 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11447195, s2 = 13758360, dlinesl.size( ) = 8 s1 = 10523987, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12643617, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13105524, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 6756009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 6756009, s2 = 4199101, int(edited[s2]) = 0 s1 = 6756009, s2 = 4199101, d1 = 114, d2 = 19 Dl.O(d1) = 258119884,123028631,136859552 Dl.O(d2) = 159184142 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 6756009, s2 = 4199101, dlinesl.size( ) = 106 s1 = 13105862, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13106346, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10371537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14366768, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11359945, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13110024, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13106800, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11485881, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13106896, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11541445, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11541445, s2 = 6556977, int(edited[s2]) = 0 s1 = 11541445, s2 = 6556977, d1 = 53, d2 = 59 Dl.O(d1) = 265574344 Dl.O(d2) = 255934478,5089064 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11541445, s2 = 6556977, dlinesl.size( ) = 54 s1 = 13057552, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11436115, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11436115, s2 = 14114271, int(edited[s2]) = 0 s1 = 11436115, s2 = 14114271, d1 = 94, d2 = 80 Dl.O(d1) = 264748685,265990291,232611623,274548778,266204224 Dl.O(d2) = 261289462,94458608,92447630,92447627,260314163,261161894,106752477,98366248,84456842,70900379,70900380,84456844,98366251,112348653,106752459,92447601,260314159,134801462,121005089,121005088,128297432,141647161,261562018,116619599,102515792,88507811,88507810,102515790,102515804,88507827,74871898,74871897,87077365,73460026,60711833,258837963,101073557,109574562,95318650,81258365,81258366,95318652,109574347,95318322,81257926,81257925,94391644,80336766,259134583,258541314,35214718,44595006,35214258,35214259,44595009,55445181,55445366,44595183,44595182,55445361,67788854,67788873,55445379,44595192,35214433,256755461,55445402,67788899,67788550,55445053,44594875,35214703,35214706,37522155,37522156,256229876,44594999,36511023,36511024,257321493,35214478,256229837,20218606,14508575,9983543,9983546,14508580,20218610,27122036,35214429,35214754,44595563,35214733,27122255,20218779,14508706,14508705,20218775,20218796,14508718,9983639,9983638,14508712,20218370,14508422,14508423,20218374,20218486,20218485,27121776,20218376,20218378,14508597,14508596,14508592,14508593,20218634,27122054,35214455,44594993,256229815,20218474,14508491,9983482,9983481,14508489,20218472,27121883,35214246,31302307,23815651,17480922,12325014,8325512,5373018,3303821,1943630,1110413,623196,622857,346162,189830,103668,57016,57017,103672,189836,346169,622869,1109875,1942850,3302952,3302690,3302691,5371841,6008996,6006769,3756717,2250069,2250070,254444103,267844325,1942691,1109759,622802,346131,346132,254135055,623005,1110110,1942633,2247964,1942639,1942265,1109470,254185241,803682,803683,1412458,2442643,4026770,3303568,3303566,5372705,8325074,8979481,6595250,6595249,5548682,3434317,2031443,2031444,1942404,1942405,3302424,5371627,5371583,3302376,1942359,1109528,1109529,254269799,2472110,1429012,812969,812970,1429014,2469667,1427471,811962,460098,460099,460100,811965,1427476,2469671,2469700,4096608,2450805,1416970,1416969,2415823,2415824,4023164,3758222,3758223,5373181,8325676,5862537,3660132,3660131,3758197,2411471,2411472,4024177,5862424,3659989,2441144,2441145,4079743,6510344,9773204,6425953,4031515,2415949,1398487,254213193,1272067,1271784,1271785,2191013,1311421,748766,425599,252875,252873,449362,793479,1395227,1411866,1411868,2192299,2249961,2251274,1306374,745636,423599,423598,745632,1306369,2242145,1300193,1300194,1300206,1300207,2242160,2440888,2251340,2251339,2192956,1273394,1273395,2192960,1311071,1311070,2258803,3664179,2471880,1428815,812794,812795,1109510,1109509,1942337,3302354,3663441,2192195,1272779,1272778,1412471,803688,803690,1412481,2411280,1395390,1395391,1270812,1270811,1272868,1272870,1398422,795818,451017,254097,140572,140571,254090,451004,795793,1398396,1398464,795846,451033,449306,449305,741961,1300326,1395065,1395066,1273413,727940,727943,1273423,2192107,1398480,1398478,2194813,2194811,2257558,1419524,1306347,745621,745620,1306339,2251222,3663728,3663729,2193250,2193251,267857853,5868763,3664450,3664449,4108648,3663628,2192426,2192425,2415769,2415951,2441169,2441166,2441167,4079758,6510359,267860945,2252083,2252082,3759419,6010685,6413943,4023707,267857845,2192077,1272677,727479,413930,233767,233766,413924,727471,1272663,1273384,727923,727924,802836,802835,728019,414250,233952,233953,414253,728025,1273537,2193124,1428837,1428836,1272334,1272333,254201961,746015,746017,454947,256375,141962,77786,77787,141967,256384,454729,454727,802609,802955,1272644,727455,727456,421291,421293,454758,454756,802649,1411001,2242190,1300236,1300237,2242192,2195125,2195126,1410932,1410934,802657,802655,794586,794588,1396536,2412773,2246864,1303268,743543,422312,422310,743539,1303262,1411606,1411607,1306704,745854,423752,423750,745850,1306695,1395690,812803,812804,1411482,802973,802974,1411485,2251800,3759026,2441221,1411610,803078,794318,794317,729888,415655,234926,129692,129694,234933,415666,729896,746122,423998,423999,746125,450255,253564,253562,450252,794619,726684,726683,1271698,1272012,797836,748214,425263,425261,748212,792087,448514,252341,139290,75994,75995,139294,252352,448529,748113,822685,464592,464591,822681,746038,746037,728949,415037,234516,254076219,70161,129430,234435,129372,129374,234439,414932,728832,1270968,1272125,727070,727071,413743,233649,233650,413744,727212,1272315,1307061,822694,464604,261541,144952,79738,43682,24282,24283,43685,79745,144969,261562,254084045,143381,267743381,745913,423805,239186,239185,423803,460416,267750323,726111,423826,423827,254147029,1309655,822598,464517,261469,261470,453147,261580,261577,464645,822733,1404201,1296130,746210,424066,424065,424209,239495,237829,143166,143165,253701,253700,255177,452678,460396,726135,726134,791408,448181,252188,139226,75950,41176,22664,12611,12612,13654,7538,4020,2078,2077,2009,2008,1840,1839,3573,6680,12059,21538,21517,21520,39053,71991,41854,41853,42185,42186,76928,41867,41868,76929,140550,239796,132556,132557,77506,254071521,12971,7150,3804,1960,965,964,254069115,7142,7218,13103,13273,13272,254071581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11436115, s2 = 14114271, dlinesl.size( ) = 102 s1 = 15338000, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13042617, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13042617, s2 = 11425190, int(edited[s2]) = 0 s1 = 13042617, s2 = 11425190, d1 = 13, d2 = 11 Dl.O(d1) = 265054970,212568259 Dl.O(d2) = 263994928 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13042617, s2 = 11425190, dlinesl.size( ) = 16 s1 = 11163263, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11552029, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552029, s2 = 7691021, int(edited[s2]) = 0 s1 = 11552029, s2 = 7691021, d1 = 84, d2 = 94 Dl.O(d1) = 266192729 Dl.O(d2) = 263542604,264067120,272707660 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552029, s2 = 7691021, dlinesl.size( ) = 32 s1 = 11544421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11544421, s2 = 15191495, int(edited[s2]) = 0 s1 = 11544421, s2 = 15191495, d1 = 4, d2 = 57 Dl.O(d1) = 229260511 Dl.O(d2) = 265425238,219720664,216463982,212537883,207735165,207735166,264806841,265238527,265595359,228668575,230239982,231636078,265891560,226882001,224831930,265425236,207735162,263964196 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11544421, s2 = 15191495, dlinesl.size( ) = 48 s1 = 13107964, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13107964, s2 = 5752191, int(edited[s2]) = 0 s1 = 13107964, s2 = 5752191, d1 = 25, d2 = 0 Dl.O(d1) = 241381262 Dl.O(d2) = 233423330 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13107964, s2 = 5752191, dlinesl.size( ) = 22 s1 = 15336229, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15336243, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14369090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11167687, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11167687, s2 = 4228870, int(edited[s2]) = 0 s1 = 11167687, s2 = 4228870, d1 = 1, d2 = 21 Dl.O(d1) = 65945031 Dl.O(d2) = 161822686 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11167687, s2 = 4228870, dlinesl.size( ) = 2 s1 = 11167687, s2 = 4228870, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11167687, Dl.E( ) = 38, 1.41e-05 seconds used appending s1 = 10656438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14369153, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14369153, s2 = 14930190, int(edited[s2]) = 0 s1 = 14369153, s2 = 14930190, d1 = 10, d2 = 8 Dl.O(d1) = 59892412,48498334,48498335,59889505,72631703,86234557,81100469,71588806,59885868,59885869,72625473,86225598 Dl.O(d2) = 258025274,52221879,59889791,59889793,72631740,72633610,257155532,77204386,64063386,52222020,52222019,64063241,257178069,32955337,32955338,30009122,30009123,256967223,52221876,64063237 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14369153, s2 = 14930190, dlinesl.size( ) = 18 s1 = 11644757, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13163020, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13163020, s2 = 7810133, int(edited[s2]) = 0 s1 = 13163020, s2 = 7810133, d1 = 1, d2 = 1 Dl.O(d1) = 2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438374,441972,779123,1368140,2362796,3946395 Dl.O(d2) = 2360565,2399692,1388552,789631,447235,447238,447317,251689,138889,138891,251698,447342,789851,1388938,2400322,3926660,3597761,2145863,2145859,3597745,3899069,2335220,1353512,1353514,1361462,2350173,3925689,6269900,6383073,4004967,4004964,3984442,2388004,1382398,1382395,1352888,771693,438362,247333,247335,438374,441972,779123,1368140,2362796,3946395 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13163020, s2 = 7810133, dlinesl.size( ) = 2 s1 = 13163020, s2 = 7810133, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13163020, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 7810132, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10980555, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10980555, s2 = 10998334, int(edited[s2]) = 0 s1 = 10980555, s2 = 10998334, d1 = 10, d2 = 5 Dl.O(d1) = 254091031,111100,111101,61291,34352,34347,35498,35494 Dl.O(d2) = 3600868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10980555, s2 = 10998334, dlinesl.size( ) = 12 s1 = 14369244, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11628119, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11628119, s2 = 2491961, int(edited[s2]) = 0 s1 = 11628119, s2 = 2491961, d1 = 82, d2 = 3 Dl.O(d1) = 267389874 Dl.O(d2) = 71079267 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11628119, s2 = 2491961, dlinesl.size( ) = 52 s1 = 11357543, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14369338, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13109702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15337109, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15337109, s2 = 13023096, int(edited[s2]) = 0 s1 = 15337109, s2 = 13023096, d1 = 35, d2 = 38 Dl.O(d1) = 38510457,29946821,29946820,29946822,22583781,16401299,11417559,7588219,5552470,3437110,2033285,1164566,1164567,2033291,3437125,5552445,8555250,7691825,6481395,6481397,8729153,12836870,9485981,9485982,7691143,7691142,7691145,4867060,2932798,1700970,966987,966985,1700964,2932783,4867043,7691118,11557655,15930613,11053742,7329272,7329270,11053739,11054091,7329564,4630195,4630194,2789391,2789387,4630254,6814475,4656755,2805362,2805366,4656767,7371467,11114273,7583443,4892628,4892630,7729071,4896299,4798836,4798476,2892326,1678659,1678658,2892322,2949110,2949111,2951877,2951876,2953502,2953503,4900536,4862087,2929855,1699446,966251,966252,1699452,2929868,4795807,7582191,11410228,11620865,16653474,22596911,16413770,13377755,13377756,11546313,11420531,7590650,4801428,2893976,2893315,1679157,955220,955221,1679165,2893336,2898338,4809179,7602116,7587942,4799592,4799589,7587934,4803488,2895156,1680109,955689,955684,1680087,2895100,4803380,2904028,1700812,1700807,2903224,2903226,2906281,2906285,2278901,2278902,3804411,4818219,2903605,1684396,957773,957774,1684401,2903618,4818241,7615391,4820809,4820808,4811093,4811092,4797965,4797964,7585609,11414362,16397841,11614822,11614820,16646930,16410108,254375428,16440601,11454796,7619120,7619121,11454797,254900518,9955429,14469507,16655456,18645530 Dl.O(d2) = 3010394,4983718,7851676,11759866,16817021,23065968,30476369 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15337109, s2 = 13023096, dlinesl.size( ) = 2 s1 = 15337109, s2 = 13023096, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15337109, Dl.E( ) = 40, 1.19e-05 seconds used appending s1 = 11047755, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11571659, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11571659, s2 = 12530965, int(edited[s2]) = 0 s1 = 11571659, s2 = 12530965, d1 = 6, d2 = 3 Dl.O(d1) = 234936816 Dl.O(d2) = 233391755 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11571659, s2 = 12530965, dlinesl.size( ) = 60 s1 = 14007137, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12253899, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14370234, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14369516, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13105839, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13105839, s2 = 15760224, int(edited[s2]) = 0 s1 = 13105839, s2 = 15760224, d1 = 1, d2 = 65 Dl.O(d1) = 30313440 Dl.O(d2) = 263302852,187517754,178315895,167888656,156307429,143782367,130453270,116607872,102502925,88494101,88494100,102502924,116607870,130453272,143782368,143782369,156307431,156307432,165067422,153250210,140568862,127223463,127223464,137370656,137370657,137370647,123638512,109445184,95189125,81130770,81130771,95189127,109445187,123638515,137370651,137370648,137370649,150411525,162541252,173573120,183368432,191931549,191671926,259403022,162112305,269350502,122928149,122928150,136759300,143907259,258153876,149900356,162112286,173212240,183062970,173212231,173212232,162112313,149900378,136759302,136759301,136759261,136759260,149900336,162112267,173212216,173212231,173212232,162112313,162112312,173212233,162112283,149900352,149900353,162112285,173212238,183062973,173212221,162112274,162112275,173212222,167982582,167982581,178397129,187588900,191671921,183062979,258777762,149900351,162112281,173212229,173212252,162112311,149900376,136759298,122928149,122928150,136759300,143907259,258153876,136759280,122928140,122928139,136759279,149900354,136759281,122928140,122928139,136759259,136759258,149900334,149900371,149900370,136759298,122928149,122928150,136759300,143907259,258153876,149900356,162112286,173212240,183062970,173212231,173212232,162112313,149900378,136759302,136759301,149900337,149900354,136759281,122928140,122928139,136759259,136759258,149900334,149900371,149900369,259403020,258777764,149900363,149900366,162112296,173212233,162112283,149900352,149900353,162112285,173212238,183062973,173212221,162112274,162112275,173212222,167982582,167982581,178397129,187588900,191671921,183062979,258777762,136759277 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13105839, s2 = 15760224, dlinesl.size( ) = 18 s1 = 13111174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11066221, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11066221, s2 = 14053054, int(edited[s2]) = 0 s1 = 11066221, s2 = 14053054, d1 = 120, d2 = 116 Dl.O(d1) = 258896457,102073786,116131525,130040978,143372988,263250997,195299201,263635215,187248201,195299194,202183029 Dl.O(d2) = 1908139,1089498,611715,340245,186759,186760,340249,186828,186824,340367,611950,988943,556365,311133,311107,171987,171988,311112,556312,988821,1740060,2996268,4628522,4628523,4967254,4608704,2774535,1609884,915940,915943,1609892,2775277,4609632,3042022,3042020,5025801,3218290,1885742,1885741,3218288,4958368,254581997,3224459,3224458,5269830,8189481,8178799,7305773,7305772,7577624,4792895,3378005,1988535,1988533,3378002,5487230,8486385,12524626,17706450,17706449,24061568,268685317,40255011,50276485,61756681,74540519,258954556,98416912,84495272,70931104 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11066221, s2 = 14053054, dlinesl.size( ) = 44 s1 = 13106381, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10768309, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10768309, s2 = 13106382, int(edited[s2]) = 0 s1 = 10768309, s2 = 13106382, d1 = 1, d2 = 1 Dl.O(d1) = 2814665,1632936,928607,523392,293332,254099769,928603,1632926,2814643,4671837,7395152,11149651,16057687,255453809,22184698,29526940,22185031,16058072,11149888,11149889,16058074,16057534,11149412,11149411,16057532,255891177,16057799,11149901,7395329,7395328,11149900,11149560,7395083,4671795,2814618,2814619,267889891,4671855,2814653,1632930,1632931,2814656,4671860,267973445,16057822,22184641,16057775,16057774,22184639,22184648,29526877,29526974,256929767,29526605,22184413,16057530,11149410,11149409,16057528,22184410,29526603,38090112,38090488,38090109,29526600,22184408,16057524,11149406,11149405,16057521,22184404,22184562,22184561,22184688,16057802,11149669,7395164,4671849,4671850,7395167,11149674,16057810,22184700,29526944,22184755,16057841,16057840,22184751,268632905,38090555,38090575,29527025,22184760,16057845,11149699,11149384,11149385,16057496,22184383,29526583,38090091,29526999,22184739,16057834,11149694,7395181,7395182,11149696,16057838,22184750,29527011,38090305,38090304,38090822,29527285,22184984 Dl.O(d2) = 2814665,1632936,928607,523392,293332,254099769,928603,1632926,2814643,4671837,7395152,11149651,16057687,255453809,22184698,29526940,22185031,16058072,11149888,11149889,16058074,16057534,11149412,11149411,16057532,255891177,16057799,11149901,7395329,7395328,11149900,11149560,7395083,4671795,2814618,2814619,267889891,4671855,2814653,1632930,1632931,2814656,4671860,267973445,16057822,22184641,16057775,16057774,22184639,22184648,29526877,29526974,256929767,29526605,22184413,16057530,11149410,11149409,16057528,22184410,29526603,38090112,38090488,38090109,29526600,22184408,16057524,11149406,11149405,16057521,22184404,22184562,22184561,22184688,16057802,11149669,7395164,4671849,4671850,7395167,11149674,16057810,22184700,29526944,22184755,16057841,16057840,22184751,268632905,38090555,38090575,29527025,22184760,16057845,11149699,11149384,11149385,16057496,22184383,29526583,38090091,29526999,22184739,16057834,11149694,7395181,7395182,11149696,16057838,22184750,29527011,38090305,38090304,38090822,29527285,22184984 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10768309, s2 = 13106382, dlinesl.size( ) = 2 s1 = 10768309, s2 = 13106382, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 10768309, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 11455335, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11461429, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15336777, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15336777, s2 = 6724312, int(edited[s2]) = 0 s1 = 15336777, s2 = 6724312, d1 = 37, d2 = 73 Dl.O(d1) = 273795808 Dl.O(d2) = 41598023,32695869,25013503,25013502,32695866,41598016,48821167,254667908,32067970,32067971,34976783,26897546,26897541,28178440,28178442,36654286,32102951,24527163,18095528,18095530,24527152,31009644,31009646,38896940,32068509,30311165,22911340,22911335,18333113,13125830,8946473,8946475,13125812,8946453,8946456,13125812,8946453,8946456,13126427,13126431,18333200,18333198,24825533,257739845,76263010 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15336777, s2 = 6724312, dlinesl.size( ) = 48 s1 = 11302185, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11302185, s2 = 11070100, int(edited[s2]) = 0 s1 = 11302185, s2 = 11070100, d1 = 37, d2 = 30 Dl.O(d1) = 112634776,98637818,98637817,98637824,112634779,112634778,126500100,126500102,261653599,262172681,261411652,126500099,112634777,98637818,84707480,71137699,71137700,84707483 Dl.O(d2) = 126500099,271020246,258376176,58416172,256618426,28636056,21396229,21396228,17178612,17178614,18214653,12919216,8788404,8788405,12919224,18214673,24680337,23659309,23659308,25806968,25806970,21728789,21728788,25944869,19281366,13783326,13783329,19281375,13976650,9598690,9598689,13976643,19523726,21694373,15682238,10856751,10856749,15682242,21728965,29017239,29017262,23134766,23134763,21728003,21728001,25855652,33661626,37563547 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11302185, s2 = 11070100, dlinesl.size( ) = 22 s1 = 14369640, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11223405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11223405, s2 = 4138776, int(edited[s2]) = 0 s1 = 11223405, s2 = 4138776, d1 = 74, d2 = 6 Dl.O(d1) = 74498562,74498563,88110282,102097195,261907837 Dl.O(d2) = 154720654 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11223405, s2 = 4138776, dlinesl.size( ) = 64 s1 = 11517317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11517317, s2 = 7057115, int(edited[s2]) = 0 s1 = 11517317, s2 = 7057115, d1 = 77, d2 = 114 Dl.O(d1) = 265056490 Dl.O(d2) = 261962266,104251612,259017830,41339139,32491328 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11517317, s2 = 7057115, dlinesl.size( ) = 62 s1 = 14370396, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11032751, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11639635, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11639635, s2 = 11641162, int(edited[s2]) = 0 s1 = 11639635, s2 = 11641162, d1 = 81, d2 = 99 Dl.O(d1) = 267616553 Dl.O(d2) = 267643626,267636288 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11639635, s2 = 11641162, dlinesl.size( ) = 82 s1 = 13044702, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 8279883, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 15337480, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14369836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11348683, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11348683, s2 = 7003846, int(edited[s2]) = 0 s1 = 11348683, s2 = 7003846, d1 = 43, d2 = 54 Dl.O(d1) = 273673153,214805681,218285969 Dl.O(d2) = 212157404,207283301,264244832,262278176,261218792 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11348683, s2 = 7003846, dlinesl.size( ) = 44 s1 = 11102679, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11180253, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180253, s2 = 6919487, int(edited[s2]) = 0 s1 = 11180253, s2 = 6919487, d1 = 41, d2 = 29 Dl.O(d1) = 72121429,85706508 Dl.O(d2) = 260090232 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11180253, s2 = 6919487, dlinesl.size( ) = 48 s1 = 11096747, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11096747, s2 = 10802437, int(edited[s2]) = 0 s1 = 11096747, s2 = 10802437, d1 = 48, d2 = 85 Dl.O(d1) = 255620789,267922121,3566151,2125451 Dl.O(d2) = 60789326,60789323,49388539,49388538,57885147,57885148,49388381,49388383,60789247,49388405,49388407,60789253,49388443,49388442,49084725,39460029,30855589,23424640,17147277,17147278,23424645,23424649,23424647,30855592,39460034,49388390,46525386,36657773,36657774,46525390,57881470,60789257,49388415,39460049,30855600,30855601,39460053,39460038,39460039,49084697,39154853,39154854,49084703,46529592,46529591,49388367,46527876,46527877,57883742,70585010,60789316,57885158,46529598,46529597,49388378,257613265,57884879,46529210,36661765,28185044,28185043,36661758,46529204,46516103,36649014,36649015,46516110,36661626,36661624,36661595,28184918,28184919,36661600,46527906,36660467,28183917,21000993,21000992,28183913,36660456,46527896,36660973,36660972,46528457,39460017,39460018,46528435,36660941,36660940,36651663,36651662,36660934,46528430,57874149,46518643,46518642,57874144,57884860,46529183,36661720,36661719,36661703,36661701,46529165,46525411,36661772,28185049,21001909,21001910,28185053,36661776,46529194,36661729,36661730,36661631,28184933,21001812,21001809,28184927,36661619,46529065,57883764,57883765,57883747,46527881,36660448,36660449,36661737,36661738,28185019,28185018,36661741,36661802,28185066,28185065,28184324,28184322,36660936,28184731,28184732,36661367,46528844,57874140,57874141,57884754,46529187,36661722,28185003,28185001,28184989,28184990,28181277,28181276,36657792,36661714,36661768,36661767,46529217,36661864,28185130,21001974,21001971,28184941,21001816,15085790,15085791,21001822,28184948,36661642,46529102,57884801,57884949,57884765,57884760,46529015,36661527,36657761,36657762,46525362,36657755,28185069,21001918,15085870,15085872,21001923,28185075,36661359,36661358,46528842,46528999,36661504,36661505,46529002,36661724,28185008,21001873,15085846,15085845,21001868,28184999,36657788,36661468,46528970,46529012,46529212,36661895,28185152,21001985,15085920,15085919,21001980,28185142,28185406,21002161,21002163,28185411,36662188,36662170,36662171,46529333,46529023,46529019,36661532,28184879,28181252,20998644,20998633,20998632,28181238,21001905,15085866,15085864,21001899,28185033,36661556,36661555,36661546,36661511,28184855,28184856,36661516,46529006 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11096747, s2 = 10802437, dlinesl.size( ) = 14 s1 = 10579658, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11644809, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10982637, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10982637, s2 = 14046519, int(edited[s2]) = 0 s1 = 10982637, s2 = 14046519, d1 = 82, d2 = 58 Dl.O(d1) = 1192529,670741,372699,204142,204141,111899,61339,35498,35494 Dl.O(d2) = 254430547,8798728,254898469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10982637, s2 = 14046519, dlinesl.size( ) = 84 s1 = 14046520, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14046520, s2 = 10982638, int(edited[s2]) = 0 s1 = 14046520, s2 = 10982638, d1 = 15, d2 = 17 Dl.O(d1) = 254898468,13220162,254430546 Dl.O(d2) = 1250106,1250110,1282888,1283506,1283504,1737402,2992664,4957116,7814365 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14046520, s2 = 10982638, dlinesl.size( ) = 18 s1 = 15337616, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14370028, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11294095, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13109459, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14151029, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13109645, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13114000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14370065, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13109763, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13109763, s2 = 13114575, int(edited[s2]) = 0 s1 = 13109763, s2 = 13114575, d1 = 0, d2 = 0 Dl.O(d1) = 40203006,43410421,43410420,53937464,55697514,53936935,43409859,34308519,34308520,36441479,46294408,40203003,255309512,31516348,24015183,24015184,31516352,31516487,31516401,24015215,17667183,12493109,12493110,17667185,24015217,31516405,27982469,20818395,14921326,14921325,20818394,27982464,31516427,24015229,24015228,30574933,30574934,39172684,31516409,31516410,30574968,255720366,43410504,40498335,31803252,31803256,25712869,24288782,17907333,17907334,24288787,31803220,40498294,43251889,42483521,33487674,25712846,25712845,33487672,40498382,40498383,50533661,42309678,33329234,25569095,18959225,254927387,9254601,13523164,12054230,12054231,12070565,12070566,13524076,12064773,12064771,13528225,15473152,15275566,10541956,6952371,4368499,2617386,2617387,3794731,3794730,6064980,9260096,9260707,10572136,6973295,6973294,10572132,15308665,12064201,12064202,13530080,9260623,9260622,13530079,18965483,17155124,12058554,8107686,8107685,8108037,8108036,10570268,8367610,5400407,5400408,4451195,4451194,7069847,10701115,12054012,8104270,5192540,3168499,1855126,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,3797837,6053839,3797869,3797145,2274674,2274388,2274390,3797184 Dl.O(d2) = 40203006,43410421,43410420,53937464,55697514,53936935,43409859,34308519,34308520,36441479,46294408,40203003,255309512,31516348,24015183,24015184,31516352,31516487,31516401,24015215,17667183,12493109,12493110,17667185,24015217,31516405,27982469,20818395,14921326,14921325,20818394,27982464,31516427,24015229,24015228,30574933,30574934,39172684,31516409,31516410,30574968,255720366,43410504,40498335,31803252,31803256,25712869,24288782,17907333,17907334,24288787,31803220,40498294,43251889,42483521,33487674,25712846,25712845,33487672,40498382,40498383,50533661,42309678,33329234,25569095,18959225,254927387,9254601,13523164,12054230,12054231,12070565,12070566,13524076,12064773,12064771,13528225,15473152,15275566,10541956,6952371,4368499,2617386,2617387,3794731,3794730,6064980,9260096,9260707,10572136,6973295,6973294,10572132,15308665,12064201,12064202,13530080,9260623,9260622,13530079,18965483,17155124,12058554,8107686,8107685,8108037,8108036,10570268,8367610,5400407,5400408,4451195,4451194,7069847,10701115,12054012,8104270,5192540,3168499,1855126,1058865,595455,332010,182832,182831,331999,595425,1058809,1855018,3168316,3797837,6053839,3797869,3797145,2274674,2274388,2274390,3797184 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13109763, s2 = 13114575, dlinesl.size( ) = 2 s1 = 13109763, s2 = 13114575, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13109763, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 13114576, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13115088, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11331713, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13118050, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11558985, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11558985, s2 = 6894984, int(edited[s2]) = 0 s1 = 11558985, s2 = 6894984, d1 = 40, d2 = 28 Dl.O(d1) = 266310715 Dl.O(d2) = 259789888 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11558985, s2 = 6894984, dlinesl.size( ) = 2 s1 = 11558985, s2 = 6894984, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11558985, Dl.E( ) = 64, 4.29e-05 seconds used appending s1 = 13115342, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15337895, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15337895, s2 = 8917893, int(edited[s2]) = 0 s1 = 15337895, s2 = 8917893, d1 = 82, d2 = 51 Dl.O(d1) = 270661739,257917353 Dl.O(d2) = 235979943 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15337895, s2 = 8917893, dlinesl.size( ) = 2 s1 = 15337895, s2 = 8917893, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15337895, Dl.E( ) = 98, 3.19e-05 seconds used appending s1 = 11495915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11495915, s2 = 10169417, int(edited[s2]) = 0 s1 = 11495915, s2 = 10169417, d1 = 68, d2 = 41 Dl.O(d1) = 264460182,273162841,273578907,265898009,274641591,266811959,266920821,274866951,274893683 Dl.O(d2) = 272829306,273162841,167396636,155764222,261638674,261087098,259906348,258035704,31409366,23919336,23919335,31409363,40089308,50109790,269874941,270904941,115985071,115985073,103452468,89357182,89357181,103452466,101940723,270552280,258438430,107355096,92950354,87968219,74366112,74366111,87968216,89357190,89357191,103452478,117582879,117582875,107355103,92950362,78843734,65511415,65511414 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11495915, s2 = 10169417, dlinesl.size( ) = 14 s1 = 11500377, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11500377, s2 = 6524723, int(edited[s2]) = 0 s1 = 11500377, s2 = 6524723, d1 = 59, d2 = 50 Dl.O(d1) = 264416251 Dl.O(d2) = 255564757 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11500377, s2 = 6524723, dlinesl.size( ) = 28 s1 = 16385009, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16377378, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11079801, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11079801, s2 = 11112276, int(edited[s2]) = 0 s1 = 11079801, s2 = 11112276, d1 = 32, d2 = 43 Dl.O(d1) = 259280177,112283799,126143019,139517677 Dl.O(d2) = 139517677,140976595,261168015,113758283,99743943,85790176,72196328,59458721,48067812,258825188,2826290,1639806,254770165 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11079801, s2 = 11112276, dlinesl.size( ) = 44 s1 = 14137527, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14137527, s2 = 11453322, int(edited[s2]) = 0 s1 = 14137527, s2 = 11453322, d1 = 23, d2 = 32 Dl.O(d1) = 265266775 Dl.O(d2) = 273355135,165653655 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14137527, s2 = 11453322, dlinesl.size( ) = 30 s1 = 14160109, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15338476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14370431, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14370431, s2 = 15279915, int(edited[s2]) = 0 s1 = 14370431, s2 = 15279915, d1 = 39, d2 = 31 Dl.O(d1) = 52871271,52871272,64789896 Dl.O(d2) = 193339430,261453212,260291382,258422322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14370431, s2 = 15279915, dlinesl.size( ) = 58 s1 = 15339027, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11435197, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14370510, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14370510, s2 = 9159141, int(edited[s2]) = 0 s1 = 14370510, s2 = 9159141, d1 = 40, d2 = 17 Dl.O(d1) = 256156670,79240114,258440762,79240115,260950743,149408549,263409879,198852489,205158054,210380833,264908637,221104205,223622170,225803233,265810645,265639985 Dl.O(d2) = 255857498,62952729,75933517,89712713,103818636,114697038,100651580,258811427,48935989,48935988,48935990,39012633,30423240,255667458,11730575,7831685,4971396,4971397,7831687,255127627,23018002,30423255,39012648,48936008,60333819,73074234,86678798,100651592,260652565,141955516,154599483,166319747,176918199,263936087,194467393,264171843,184638700,175045581,262159921,261088361,259907713,84501948,70937787,58220573,256848959,261405803 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14370510, s2 = 9159141, dlinesl.size( ) = 14 s1 = 14370514, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13117106, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13117106, s2 = 16064868, int(edited[s2]) = 0 s1 = 13117106, s2 = 16064868, d1 = 29, d2 = 27 Dl.O(d1) = 234178438,234178437,234178436,234178435,234178444,234298523,234298524,234298534,233195592,233195590,266326244,233195584 Dl.O(d2) = 265379898,217465269,213778759,209285710,203808008,197246804,189555361,189555360,180654130,170518946,273229683,263618218,187031160,263232048,177757588,263622879,195424434,272960386,189265971,180328669,170166183,260821092,146442250,133209865,133209864,133209868,146442253,158811210,170166184,158811212,146442256,146442257,260224498,180328674,189265981,197000268,189265979,189265980,197000270,203605929,273426182 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13117106, s2 = 16064868, dlinesl.size( ) = 20 s1 = 11625381, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11625381, s2 = 2411407, int(edited[s2]) = 0 s1 = 11625381, s2 = 2411407, d1 = 59, d2 = 0 Dl.O(d1) = 267324322,243694910,243948140 Dl.O(d2) = 65833159 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11625381, s2 = 2411407, dlinesl.size( ) = 14 s1 = 11424387, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11424387, s2 = 12516497, int(edited[s2]) = 0 s1 = 11424387, s2 = 12516497, d1 = 48, d2 = 47 Dl.O(d1) = 261683889,261679360,262677770,177996428,167525050,155910305,155910304,167525048,177996425,263981905,207967950,207967969 Dl.O(d2) = 143367508,155910303,167525045,177996421,187244292,187244303,263634875,177996430,262352963,155910307,167525053,167525044,274046262,177996423,167525046,167525045,177996421,187244292,187244303,177996434,177996435,187244304,195295711,264291977,263634869,273580339,202179913,207967948,274014915,202179911,195295692,263250657,167525042,261846435,130035118,143367506,130035120,116125138,116125134,102066790,88080229,260134715,261304037,116125133,116125132,261846433,130035120,130013469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11424387, s2 = 12516497, dlinesl.size( ) = 24 s1 = 14370614, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10740554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15338130, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15338130, s2 = 12649984, int(edited[s2]) = 0 s1 = 15338130, s2 = 12649984, d1 = 4, d2 = 6 Dl.O(d1) = 32320902,40992061,40992060,40992132,32208772,24617682,18167182,18167181,18167193,24617699,21074758,15138184,10440783,10440785,15138187,21074761,28279336,36775370,28279358,28279359,32076345,32076343,40847248,32683136,25004201,18477703,18477704,24617622,24617623,32208697,257126175,40876719,32688477,25008603,25008604,30309864,22910222,22910224,30309866,38895831,48817302,60213320,53256561,42803715,33771673,25962310,19296672,13796366,13796365,19296667,25962303,33771664,36775402,46660890,41579861,32683152,25004211,18477709,18477710,25004214,32683159,36775364,40847256,32672460,32672461,35361558,27238714,20308539,14574277,14574276,20308536,25008313,18481202,18481201,25008308,32688146,36775543,28279482,28279483,25004991,25004992,32683979,41580848,50945305,40822796,40822795,41566106,32672464,24996088,24996087,25006517,32686112,27238624,27238623,35361455,41583882,269062327,39056035,39056034,46660891,58033704,51871827,41579859,41579858,41586561,41579868,36954018,28453484,21226422,21226421,28453482,36954014,32686269,32686267,27238706,20308534,20308533,27238702,35361551,44785545,42803431,33771462,33771463,28279485,21074862,21074863,15138239,15138240,21074870,21226420,28453478,36954010,46832185,37653316,37653315,41566100,44785475,35361469,27238632,20308476,20308475,25006558,25006557,32670683,24994498,24994497,32670679,41564020,33771195,33771196,42803122,41566518,32672835,32672834,25571052,25571050,33330875,40429139,40429140,32031298,25006646,18479790,18479792,25006652,32686275,41583961,39850039,31167944,23679574,23679573,25962176,33771468,28279478,28279479,32686246,25962611,19296890,19296891,21885513,29197719,37653322,29104378,29104379,32031295,32031294,29197730,21885518,21885519,29197734,32686170,25962324,25962326,29197737,37759190,47558577,40429213,40429212,42801499,47681364,42801550,42801538,42801537,52698182,42311198,42311199,40429154,31734904,24226378,24226379,31734890,32686265,41583953,37759224,29197780,21885549,21885548,29197777,25962179,25962178,33771472,42794894,37653303,29104362,29104363,29104510,29104402,25960915,21806142,15745112,15745113,21806147,29104373,29197744,21885527,15809306,10955344,7250907,7250908,10955349,13796509,19296886,25960882,33769796,25960891,25960890,33769804,42801505,33769858,25960936,25960934,33769856,40429196,31734960,24226434,24226383,17854639,12644393,12644392,17854634,24226377,31423754,23933282,23933283,21806135,21806134,29104352,24226456,24226455,31734937,28424005,28424001,28423999,21806271,21806183,15745137,10904697,7211983,7211982,10904690,15745126,21806170,15809326,10955363,7250922,4572392,4572391,7250916,9460509,13795793,13795775,13795774,13795782,19295760,20308491,19295788,13795801,13795800,19295784,25960944,24226442,17854672,12644411,8585360,5578645,5578644,8585354,12644398,17854648,23933287,17590620,17590619,17590594,17590593,23933243,24226371,21885563,21885554,21806196,21806197,15745205,10904744,7212011,7212010,7211993,4543948,4543947,7211987,10904705,12229820,8257437,8257438,10955359,9460531,6203004,6202994,6202737,3882360,3882358,6202730,9460060,13795786,14574251,20308496,19295772,19295773,25960920,24226472,17854693,12644427,8585371 Dl.O(d2) = 17854681,24226457,31734986,24706579,24706578,32320951,39426420,39426419,41134788,41134806,41134684,32320999,32320998,41134546,32320879,24706487,18235432,18235431,24706484,32320958,41134632,51318102,257932490,41134738,32321030,32321029,41134736,51318227,51318252,51318242,41134747,41134746,51318240,51318244,51318246,62997170,62997137,51318198,41134715,41134714,51318184,41134706,32321012,24706526,18235461,12934637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15338130, s2 = 12649984, dlinesl.size( ) = 2 s1 = 15338130, s2 = 12649984, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15338130, Dl.E( ) = 8, 5.01e-06 seconds used appending s1 = 13117722, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13118404, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13118404, s2 = 11582730, int(edited[s2]) = 0 s1 = 13118404, s2 = 11582730, d1 = 69, d2 = 66 Dl.O(d1) = 47565749,58948472 Dl.O(d2) = 266324821 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13118404, s2 = 11582730, dlinesl.size( ) = 62 s1 = 14370741, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13124554, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371285, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11598331, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11044189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11044189, s2 = 8632365, int(edited[s2]) = 0 s1 = 11044189, s2 = 8632365, d1 = 54, d2 = 72 Dl.O(d1) = 24519032,20202077,14495931,14495932,20202080,18168137,12884462,12884463,18168139 Dl.O(d2) = 112581452,98670832,98670833,112666254,258675510,258051154,71172605,58450336,47073217,47073218,257440748,58383981,58492385,47114155,37216993,37216992,28692017,21441120,15445682,10678823,7053916,254334024 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11044189, s2 = 8632365, dlinesl.size( ) = 32 s1 = 11430335, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430335, s2 = 7295976, int(edited[s2]) = 0 s1 = 11430335, s2 = 7295976, d1 = 29, d2 = 37 Dl.O(d1) = 261987746 Dl.O(d2) = 265100798 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430335, s2 = 7295976, dlinesl.size( ) = 70 s1 = 14482355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14370873, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13119310, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13119310, s2 = 1941336, int(edited[s2]) = 0 s1 = 13119310, s2 = 1941336, d1 = 83, d2 = 65 Dl.O(d1) = 245411990,245263281,267289934,267313704,267336206 Dl.O(d2) = 40074646,40074645,50095487,61575295,74352097,259465469 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13119310, s2 = 1941336, dlinesl.size( ) = 2 s1 = 13119310, s2 = 1941336, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13119310, Dl.E( ) = 84, 3.98e-05 seconds used appending s1 = 14370918, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14370918, s2 = 14642080, int(edited[s2]) = 0 s1 = 14370918, s2 = 14642080, d1 = 13, d2 = 57 Dl.O(d1) = 134845738,131954994,131954993,145194035 Dl.O(d2) = 30631975,39229981,49156345,60555673,73298614,259450671,114940427,128839933,142196735,154831947,260800854,114940429,100888588,86908548,259450671,114940428,128839934,142196735,154831946,261909912,142196736,260800856,128839936,142196736,262773281 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14370918, s2 = 14642080, dlinesl.size( ) = 24 s1 = 13119544, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14258349, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11469207, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11469207, s2 = 15331929, int(edited[s2]) = 0 s1 = 11469207, s2 = 15331929, d1 = 3, d2 = 6 Dl.O(d1) = 207270620 Dl.O(d2) = 219427776,216128310,212145595,207270617,201358528 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11469207, s2 = 15331929, dlinesl.size( ) = 2 s1 = 11469207, s2 = 15331929, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11469207, Dl.E( ) = 12, 4.05e-06 seconds used appending s1 = 11376307, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10512438, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11562401, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13119914, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13119962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10996731, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11037337, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11037337, s2 = 8388150, int(edited[s2]) = 0 s1 = 11037337, s2 = 8388150, d1 = 68, d2 = 76 Dl.O(d1) = 254170662,7480195,11268335,254359558,29719891,255100650,19855655,14225166,9779192,9779194,14225169,15306038,10569893,10569894,13328079,13328057,9106718,254735703,4450830,4450831,7069239,6970387,6970367,4378988,4378989,6970376,10557268,15292495,15286678,15286679,10562085,10562086,7069219,4450816,258061899 Dl.O(d2) = 224612217,265143006,262584920,261563684,114463890,260409798,258800742,27119090,30612286,39208470,256637942,21421367,21421368,22379178,22379177,29737268,256946945 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11037337, s2 = 8388150, dlinesl.size( ) = 72 s1 = 13120174, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371078, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14371078, s2 = 11468198, int(edited[s2]) = 0 s1 = 14371078, s2 = 11468198, d1 = 104, d2 = 80 Dl.O(d1) = 255326970,23281389,17022428,17022429,15251934,15251932,13210589,9005152,9005153,13210592,18590162,25146210,22095360,15987150,13210619,9005167,5878466,5878465,9005164,13210615,254688708,23033421,29130445,31352343,35032166,37692300,29130455,29130454,35013961,26932306,20046165,16324767,16324765,14378080,14378078,20062307,20040736,14356052,9864089,9864088,14356049,20040731,26926127,35007910,30916414,23479358,20017504,14336641,14336643,20008981,268173716,15984671,15984672,22091988,29422677,31352415,23858882,23858881,31352414,30058378,30058377,29494647,29494648,38057890,38057891,38632482,36506702,29877625,29877628,35039764,35012353,26930739,26930743,26938733,29424082,22093354,22093352,25371407,25371404,28422256,32555904,39398040,255141024,73476543 Dl.O(d2) = 222070795,224480610,226574355,224951261 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14371078, s2 = 11468198, dlinesl.size( ) = 38 s1 = 11075703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11175855, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11649385, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11649385, s2 = 14286087, int(edited[s2]) = 0 s1 = 11649385, s2 = 14286087, d1 = 31, d2 = 35 Dl.O(d1) = 261506476 Dl.O(d2) = 262349140,260130494,258891426,254271946,12203647,8235313,8235316,11078567,11078568,15962249,16374158,16374156,21839108,15769538,15769535,14963836,14963837,12430577,8401342,8401343,12430564,17610553,23958124,31451130,39280315,39280311,31446997,31446999,40126760,31457410,23962686,17613474,12432350,12432354,17613490,23962713,23962445,23962446,18665960,18665959,25234991,23955195,17608370,17608369,23955194,31447054,23954743,17608040,17608038,23297330,23297328,23953779,23953780,22955689,16719380,11677647,11677648,16719386,22955707,22955914,20978892,20978893,23962946,17613668,17037121,11951057,7999934,7999933,11951051,17037110,23297093,23958169,23954844,17608127,17608128,23954849,23955269,17608419,17608420,23955275,17613834,17613835,23963199,23297258,23297260,30714093,31446798,30683539,23266655,17002753,17002754,17037156,11951076,11951075,17037148,23297139,17328556,12203608,12203606,16719561,11677744,7786291,4936125,2978350,2978348,4936119,7786272,11677702,16719483,22955877,17607961,12428863,8400276,8400273,12428851,17607942,23954577,31446847,40126608,31451362,23958324,23955328,17608447,12429154,8400421,5420809,5420810,8400425,12429171,17037244,11951124,7999956,5092664,5092662,7999946,11951096,11915851,7970885,7970883,11915843,17002730,23266612,22955783,22955785,30357380,23955536,23954337,23954339,30357312,22955732,16719407,11677678,11677677,16719441,17037075,23297054,22955779,22955780,30357365,23954553,17607932,17607934,23954558,17610991,17610990,23958757,31451929,40132130,269314731,255949248,19691293,26428950,25189427,25189426,32899602,41823399,52140449,54701856,43957776,34682693,26688501,26688500,34682692,43957773,54701853,52140446,256065982,77079577,90965235,84090079,70553552,57852159,50564349,50044127,40527787,255175330,18193352,256074553,18193333,254891609,5716994,5716995,8777972,12904129,18193340,18193325,18193324,24650646,24650631,18193309,18193308,18285261,18285262,18193342,268275789,32249294,41042041,257722225,74026781,61246565,61246564,74026778,87630661,101597702,103908427,103908393,89807292,84837344,71263198,58531425,47143170,37237969,255836693,15454210,10685156,7058521,4443723,2669301,1545879,878571,495507,277665,153049,83748,83747,153045,277657,495490,878539,1545825,2669214,4443590,7058314,10684849,15453767,254734699,7058337,10684766,7058256,4443556,2669196,2669197,4443558,7058260,10684771,7058350,7058349,10684910,15453861,15453899,10684929,10684928,15453897,21451876,15453556,10684695,7058210,4443526,4443525,7058208,10684691,15453549,21451867,28706425,28706327,21452116,15453730,10684819,7058289,4443574,2669204,1545821,1545820,2669201,4443568,7058278,10425686,10425685,12906921,8779952,8779950,12906915,17305183,12182345,8213595,5284431,5284430,8213593,12182342,17305178,23619481,24655127,18196996,18196998,24655129,24655183,18197041,12906981,8779986,5718332,5718333,8779981,12906971,18197022,24655159,32254695,41048023,48602027,47695063,47695062,51204103,62853356,59107024,59107023,58530302,58530301,51203749,41047576,32254315,32254312,41047567,44729445,44729444,55627506,68014639,62853258,51203975 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11649385, s2 = 14286087, dlinesl.size( ) = 58 s1 = 13120570, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371128, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14371128, s2 = 5510483, int(edited[s2]) = 0 s1 = 14371128, s2 = 5510483, d1 = 115, d2 = 141 Dl.O(d1) = 2099209,3527082,5670175,8710167,12810638,10403151 Dl.O(d2) = 234974289,233933295,232790871,231526607,230116262,228527634,226720048 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14371128, s2 = 5510483, dlinesl.size( ) = 14 s1 = 11222423, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11222423, s2 = 10736974, int(edited[s2]) = 0 s1 = 11222423, s2 = 10736974, d1 = 55, d2 = 32 Dl.O(d1) = 87916134,101890395,115936634,129836246,143167830,129836249,115936637 Dl.O(d2) = 16092134,22225388,22935567,22225403,16092147,16092148,22225405,22225378,16092123,11176780,11176781,11176961,11176960,16092400,22225735,29572480,38138681,38138757,38138358,38138357,29572370,22225592,16092275,16092276,22225594,22225660,16092326,16092327,16092330,16092292,11176886,11176887,16092288,16092287,22225608,22225703,22225702,22225756,16092421,16092423,11176990,7415650,7415646,7415647,11176789,7415551,7415552,11176792,16092142,22225402,16092155,11176799,11176801,16092076,16092075,22225289,16092116,16092115,22225365,22225520,22225519,29572265,29572478,38138677,29572561,29572560,29572483,22225684,16092363,11176938,11176939,16092339 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11222423, s2 = 10736974, dlinesl.size( ) = 46 s1 = 15338102, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13120854, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13120854, s2 = 9475880, int(edited[s2]) = 0 s1 = 13120854, s2 = 9475880, d1 = 137, d2 = 134 Dl.O(d1) = 256999236 Dl.O(d2) = 256185853,14055455,9664947,6355452,254311037,1383376,1383375,2389846,3987553,6353824,3986627,3986628,6353827,3987030,2389571,1383238,1383237,2389567,254676555,14053584,19612071,256675398 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13120868, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12591167, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15338105, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14133667, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13117451, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13117451, s2 = 8232084, int(edited[s2]) = 0 s1 = 13117451, s2 = 8232084, d1 = 100, d2 = 99 Dl.O(d1) = 255476006,11395350,11395351,14369993,9964221,6548668,6548666,268049317 Dl.O(d2) = 13929521,19464022,26164485 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13117451, s2 = 8232084, dlinesl.size( ) = 52 s1 = 14371242, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13117919, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13122182, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14372292, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14372292, s2 = 2249417, int(edited[s2]) = 0 s1 = 14372292, s2 = 2249417, d1 = 26, d2 = 23 Dl.O(d1) = 95309481 Dl.O(d2) = 60387158,73127456 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14372292, s2 = 2249417, dlinesl.size( ) = 48 s1 = 13118419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15910563, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13122222, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13118429, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13118429, s2 = 11228318, int(edited[s2]) = 0 s1 = 13118429, s2 = 11228318, d1 = 9, d2 = 11 Dl.O(d1) = 274108869,176965953 Dl.O(d2) = 114753257,259634220 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13118429, s2 = 11228318, dlinesl.size( ) = 14 s1 = 15339257, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15339257, s2 = 7262860, int(edited[s2]) = 0 s1 = 15339257, s2 = 7262860, d1 = 8, d2 = 53 Dl.O(d1) = 71059431,84622940,98547011,259443740,65486468,53465619,42990424,42990425,257841357,78816947,89129427,75384333,75384334,78817015,78817014,259443732,72255674,72255675,85657525,72197676,59460270,48069656,48069655,59460269,72197674,72255648 Dl.O(d2) = 264714532 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15339257, s2 = 7262860, dlinesl.size( ) = 46 s1 = 14370126, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14370126, s2 = 2129280, int(edited[s2]) = 0 s1 = 14370126, s2 = 2129280, d1 = 1, d2 = 1 Dl.O(d1) = 46750872,46750873,58119401,64419359,64419358,63252780,51536045,41315200,32469772,32469773,41315202,46750876,46750877,46750874,46750875,52545155,52545157,42186384,33226162,33226161,42186382,42186342,42186341,42186343,42186386,33226163,25477850,18876097,18876096,25477848,25477823,18876076,13451258,9198831,254922901,13451259,13451260,18876078,256130067,33226138,33226137,28961320,256157773,25863104,33226095,25477793,18876060,18876058,25477792,33226094,42186302,33226099,25477796,25477798,33226076,268297281,13451246,13451245,18876050,21679354,28961322,28961321,37504421,47411972,50495408,47411967,47411968,58798902,71528001,61987397,50495404,50495405,52545163,42186390,33226167,268746763,52545165,61987400,74783737,64419364 Dl.O(d2) = 46750872,46750873,58119401,64419359,64419358,63252780,51536045,41315200,32469772,32469773,41315202,46750876,46750877,46750874,46750875,52545155,52545157,42186384,33226162,33226161,42186382,42186342,42186341,42186343,42186386,33226163,25477850,18876097,18876096,25477848,25477823,18876076,13451258,9198831,254922901,13451259,13451260,18876078,256130067,33226138,33226137,28961320,256157773,25863104,33226095,25477793,18876060,18876058,25477792,33226094,42186302,33226099,25477796,25477798,33226076,268297281,13451246,13451245,18876050,21679354,28961322,28961321,37504421,47411972,50495408,47411967,47411968,58798902,71528001,61987397,50495404,50495405,52545163,42186390,33226167,268746763,52545165,61987400,74783737,64419364 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14370126, s2 = 2129280, dlinesl.size( ) = 2 s1 = 14370126, s2 = 2129280, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14370126, Dl.E( ) = 2, 2.15e-06 seconds used appending s1 = 1231629, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13122590, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11418883, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11418883, s2 = 8799114, int(edited[s2]) = 0 s1 = 11418883, s2 = 8799114, d1 = 3, d2 = 85 Dl.O(d1) = 185434757 Dl.O(d2) = 220805231,264074444,263367160,263738594,214135766,209708461,204310928,204310930,262497810,217770875,220805234,223388911,225622603,227565273,229264690,227565267,225622595,223388907,220805242,217770879,263367158,263367156,223388904,225622589,227565258,225622587,264373910,229264682,230766984,229264698 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11418883, s2 = 8799114, dlinesl.size( ) = 42 s1 = 11293721, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13122838, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7655838, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7655838, s2 = 9672873, int(edited[s2]) = 1 s1 = 11475875, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11475875, s2 = 11511092, int(edited[s2]) = 0 s1 = 11475875, s2 = 11511092, d1 = 104, d2 = 0 Dl.O(d1) = 264668011 Dl.O(d2) = 210949566 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11475875, s2 = 11511092, dlinesl.size( ) = 86 s1 = 14159746, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10721726, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10721726, s2 = 11114690, int(edited[s2]) = 0 s1 = 10721726, s2 = 11114690, d1 = 13, d2 = 25 Dl.O(d1) = 183360883,183360884,185929953,185929954,194151124,191924903,191924904,263801106,191924901,262577634,162531627,173564488,183360886,191924902,199292026,264129400,207121274,264422428,205525223,199292021,199292019,201192682,194151123,194151124,199292029,201192699,201192692,194151136,185929964,185929963,194151132,199292017,191924893,183360875,183360876,191924895,183360878,183360877,263801131,205525237,207121275,201192674,194151115,185929946,183360882,183360881,183360875,183360876 Dl.O(d2) = 112863863,126715260,140062293,129122573,115190592,258664000,60746776,49343673,49343674,53014331,42574003,33557061,31391775,23897198,17722996,17722997,17722989,12538815,12538814,17722971,17722970,18087702,18087701,12823142,8718252,5674921,5674920,8718249,12823133,18087708,17722947,12538793,12538795,17722952,24080102,31585815,269001881,31808332,31808333,27153949,20242744,14525415,9994523,9994524,14525418,20242754,17110371,12023951,12023950,17110369,23380551 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10721726, s2 = 11114690, dlinesl.size( ) = 2 s1 = 10721726, s2 = 11114690, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 10721726, Dl.E( ) = 26, 1.19e-05 seconds used appending s1 = 11481281, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11481281, s2 = 11580516, int(edited[s2]) = 0 s1 = 11481281, s2 = 11580516, d1 = 27, d2 = 31 Dl.O(d1) = 211935614,215946250,219267172,265393957,219267171,219267172,265393959 Dl.O(d2) = 215946251,215946249,219267170,265393953,226575559,228399434,226575563,226575562,265868191,228399437,226575563,226575562,228399436,265868193,226575565,224481878,265567019,265868187,226575559,228399434,226575563,226575562,228399436,228399435,265868189 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11481281, s2 = 11580516, dlinesl.size( ) = 26 s1 = 11448229, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16293920, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16293920, s2 = 11572644, int(edited[s2]) = 0 s1 = 16293920, s2 = 11572644, d1 = 8, d2 = 8 Dl.O(d1) = 266751937,239622214,266751948,238392114,237689332,266536962,235130008,266451747,234101618,232971685,232971684,234101616,232971688,231723519,230334206,228771195,228771194,230334203,231723515,274642199,234101614 Dl.O(d2) = 266751937,239622214,266751948,238392114,237689332,266536962,235130008,266451747,234101618,232971685,232971684,234101616,232971688,231723519,230334206,228771195,228771194,230334203,231723515,274642199,234101614 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16293920, s2 = 11572644, dlinesl.size( ) = 2 s1 = 16293920, s2 = 11572644, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 16293920, Dl.E( ) = 10, 3.81e-06 seconds used appending s1 = 13123836, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10583586, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14371720, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14371720, s2 = 602676, int(edited[s2]) = 0 s1 = 14371720, s2 = 602676, d1 = 17, d2 = 1 Dl.O(d1) = 256039037,12593976,17792890,255428838,22568492,22568493,29928789,29565056,255456973,16087506,22219086,16087202,16087201,11406658,11406659,11406626,7579805,7579804,11406623,16388941,11406732,11406731,9676258,9676259,11406301,11406300,9685911,9685910,14081862,12301280,9500550,9500551,13849155,13736250,9410437,9410439,11406095,11406094,16388405,19361999,24203890,31711624,40403748,50437770,61928306,74721897,88349929,102346073,102346070,257093888,130276024,116439156,257093890,88349927,88349926,257093888,130276024,116439156 Dl.O(d2) = 255841999 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14371720, s2 = 602676, dlinesl.size( ) = 8 s1 = 14370618, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371760, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14372182, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14372182, s2 = 189580, int(edited[s2]) = 0 s1 = 14372182, s2 = 189580, d1 = 52, d2 = 1 Dl.O(d1) = 266838217 Dl.O(d2) = 4488233 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14372182, s2 = 189580, dlinesl.size( ) = 24 s1 = 11179045, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15341115, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14360049, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371886, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11003259, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11003259, s2 = 8829283, int(edited[s2]) = 0 s1 = 11003259, s2 = 8829283, d1 = 49, d2 = 124 Dl.O(d1) = 255372171 Dl.O(d2) = 213816216,217499943,220572392,223185451,225444278,225444267,274593800,266106098,229125927,227408327,225444280,265372350,209326413,203852572,197294851,263509192 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11003259, s2 = 8829283, dlinesl.size( ) = 96 s1 = 11527077, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11527077, s2 = 2681546, int(edited[s2]) = 0 s1 = 11527077, s2 = 2681546, d1 = 42, d2 = 2 Dl.O(d1) = 262101146,208825371 Dl.O(d2) = 76607969 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11527077, s2 = 2681546, dlinesl.size( ) = 36 s1 = 14371929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14371929, s2 = 6301190, int(edited[s2]) = 0 s1 = 14371929, s2 = 6301190, d1 = 166, d2 = 57 Dl.O(d1) = 246346792,246256914,275033779,267455280,245591601 Dl.O(d2) = 245813283 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279277, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11279277, s2 = 14587864, int(edited[s2]) = 0 s1 = 11279277, s2 = 14587864, d1 = 142, d2 = 0 Dl.O(d1) = 114143506,128032417,141400765 Dl.O(d2) = 883437 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11279277, s2 = 14587864, dlinesl.size( ) = 86 s1 = 13126000, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13126402, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11667644, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 10785499, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13126560, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13126560, s2 = 11534086, int(edited[s2]) = 0 s1 = 13126560, s2 = 11534086, d1 = 88, d2 = 94 Dl.O(d1) = 257798341 Dl.O(d2) = 265332178,265734229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13126560, s2 = 11534086, dlinesl.size( ) = 12 s1 = 11098969, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11098969, s2 = 471162, int(edited[s2]) = 0 s1 = 11098969, s2 = 471162, d1 = 0, d2 = 113 Dl.O(d1) = 41929799 Dl.O(d2) = 99665178,85717684,72133127,59402656,48015460,38105202,29541906,22198633,16069603,16069605,22198641,22198044,16069099,11157893,11157891,16069095,22198033,16964503,11876419,7939404,7939403,8321789,7401464,4675661,4675660,2847434,2847433,3301101,3301100,5369762,8321787,12320325,17473155,255476176,17473520,17473245,17473246,12319119,11301060,7502975,4742706,4742704,7502968,7503070,4742763,4742762,7503068,11301197,16254921,22420398,29785548,38357695,38358000,255585410,39966904,39966905,31292460,31292461,29900867,29900868,29785324,23321810,17056586,11965408,8009556,5098783,5098784,8009558,11965409,17056587 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11098969, s2 = 471162, dlinesl.size( ) = 68 s1 = 15339015, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11408709, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11408709, s2 = 11023222, int(edited[s2]) = 0 s1 = 11408709, s2 = 11023222, d1 = 93, d2 = 128 Dl.O(d1) = 273137466,261216004,104952277,90772614,90772615,260244465 Dl.O(d2) = 264561677,202032884,195123907,195123908,202032885,264282174,271391956,80276924,80276923,94333321,256014906,74301623 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11408709, s2 = 11023222, dlinesl.size( ) = 76 s1 = 11120455, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11120455, s2 = 11534322, int(edited[s2]) = 0 s1 = 11120455, s2 = 11534322, d1 = 94, d2 = 63 Dl.O(d1) = 258202835,86897217 Dl.O(d2) = 265898472,235422913,236329326,236329327,266027722,274477440,232135151,233339272,234430161,265757570 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11120455, s2 = 11534322, dlinesl.size( ) = 32 s1 = 13127806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11568011, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11287237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11287237, s2 = 15767527, int(edited[s2]) = 0 s1 = 11287237, s2 = 15767527, d1 = 2, d2 = 25 Dl.O(d1) = 102457850 Dl.O(d2) = 226671654,265404015,222197664 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11287237, s2 = 15767527, dlinesl.size( ) = 2 s1 = 11287237, s2 = 15767527, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11287237, Dl.E( ) = 42, 1.6e-05 seconds used appending s1 = 14372266, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14372266, s2 = 8434710, int(edited[s2]) = 0 s1 = 14372266, s2 = 8434710, d1 = 120, d2 = 64 Dl.O(d1) = 81156159,67690611,258534338,44504721,44504720,55350975,67690610 Dl.O(d2) = 109857209,109607638,95355782 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14372266, s2 = 8434710, dlinesl.size( ) = 22 s1 = 11197557, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10981215, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10981215, s2 = 11001618, int(edited[s2]) = 0 s1 = 10981215, s2 = 11001618, d1 = 26, d2 = 70 Dl.O(d1) = 771831 Dl.O(d2) = 13126434 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10981215, s2 = 11001618, dlinesl.size( ) = 90 s1 = 15339856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10997209, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10997209, s2 = 7305351, int(edited[s2]) = 0 s1 = 10997209, s2 = 7305351, d1 = 0, d2 = 87 Dl.O(d1) = 5002034,5002036,4603545,4603541,7298607,9650709,9650708,14036511,11444618,255923853 Dl.O(d2) = 212031591,265209149 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10997209, s2 = 7305351, dlinesl.size( ) = 40 s1 = 11425189, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11425189, s2 = 13042618, int(edited[s2]) = 0 s1 = 11425189, s2 = 13042618, d1 = 15, d2 = 17 Dl.O(d1) = 263994929 Dl.O(d2) = 212869920,265054971 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11425189, s2 = 13042618, dlinesl.size( ) = 22 s1 = 13125901, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15338370, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15340122, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15340122, s2 = 13122181, int(edited[s2]) = 0 s1 = 15340122, s2 = 13122181, d1 = 104, d2 = 96 Dl.O(d1) = 273093320,164168596,262148686,272826190,164168597,164168598,174985574,184587561,192972573,200165828 Dl.O(d2) = 205822549,206521269,264454032,273981939,263868705,263112829,273129048,126817374,112963617,98974577 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15340122, s2 = 13122181, dlinesl.size( ) = 28 s1 = 11225017, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11225017, s2 = 11627389, int(edited[s2]) = 0 s1 = 11225017, s2 = 11627389, d1 = 12, d2 = 87 Dl.O(d1) = 74920279 Dl.O(d2) = 267530716,246029911,275025507,245411166,245411167,267439598,267387980,267348210 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11225017, s2 = 11627389, dlinesl.size( ) = 24 s1 = 14373108, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11285127, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11285127, s2 = 11303032, int(edited[s2]) = 0 s1 = 11285127, s2 = 11303032, d1 = 29, d2 = 41 Dl.O(d1) = 101831462 Dl.O(d2) = 146863139 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11285127, s2 = 11303032, dlinesl.size( ) = 34 s1 = 15339363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15339363, s2 = 13161072, int(edited[s2]) = 0 s1 = 15339363, s2 = 13161072, d1 = 0, d2 = 37 Dl.O(d1) = 91272176,105494380 Dl.O(d2) = 272213438,119732835,260859943,119732838,119732837,272368703,133606477,133606470,133606466,272854622,119732844,105494382,91272177,77352152,64204451,52354126,42014861,33070882,33070883,42014863,44554650,44554649,47688157,47688156,47903502,37987877,29427265,22096391,15987910,255075554,11102038,11102037,15760723,15760722,11098921,7360556,7360558,11098930,15987386,22095696,15987684,15987685,20191357,15550496,15550495,21573514,22095990,22095992,22096069,24906705,22096049,15987935,15987936,20191349,15987416,11098556,11098554,15549172,11098613,7360384,4649357,2800561,1624544,1624546,2800566,4649365,7360409,7360510,7360508,10755103,15526538,11098846,7360503,7360502,11098837,13465457,13465458,15987719,22096127,29135719,21828593,15987742,11098766,11098765,15987737,22096148,22101501,29426495,28843149,22130234,22130237,21573503,21573504,27089594,27089609,21573490,15550483,15550484,11098580,11098581,15987455,22095794,22200131,22095802,22095801,28458143,28458145,36958318,29426509,29426508,29543335,38106591,37988019,37988018,29426760,22095908,15987537,11098635,11098633,15987533,21543348,21543346,22823724,16603260,16603261,22823729,30215916,29426457,22095665,22095628,22095630,29426420,37987812,37988232,37988233,47903466,47903738,47903626,47903627,59298251,50602860,50602861,47903669,47903671,48341132,50602854,54589530,256813606,37331564,37331565,47241547,47903681,43845132,43845131,47904151,37988593,37988592,37141156,28627881,21389596,21389597,28627885,37141162,47029612,38106596,38106595,48016821,59298192,58635069,47241493,47241494,58635070,71371904,58814723,58814724,58465182,47087033,37191351,28669563,21422799,21422800,28669567,37191358,37141170,28627889,28627888,37141166,47029616,58401629,47294448,47294447,58685246,58814558,58814794,47427970,37520293,28976481,28976480,37520289,47427886,47427887,37520201,28976405,28976406,37519620,28975843,28627874,28627875,37141146,34573708,26586877,26586878,34573713,43845195,46382980,37519988,28976170,21693473,15652984,15652983,21693462,15652978,10834231,7161769,7161768,10834228,15652972,21693454,23632956,17316984,17316985,23632958,31119564,28976100,28976099,36878508,46757192,49443303,43845201,42055145,37519807,37519808,47427320,58814443,58814561,47427558,47427557,47427986,268620309,28976509,37519803,37519802,42055263,42055265,46411309,37519776,37519775,28976055,28975772,28975771,37249099,37520135,37520136,33006069,25281195,25281196,21587252,15561958,10763872,255043487,21587249,20964435,15054646,15054647,16073409,22202895,16726792,16726793,22202905,16214026,11271134,11271133,16214021,22368313,29724788,29724758,22368288,16214001,11271120,7482030,4728379,4728378,7482028,11271116,16213994,18786692,13380954,9146329,7422948,4690746,4690747,7422950,11187229,255458539,16105373,16105372,12024993,255147933,16105325,17111581,23382001,30810531,25676148,19054359,13602542,9314266,6101468,3817647,2287144,1326866,757397,430493,243004,134331,73021,73024,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73039,73403,39724,39721,73041,73514,39762,39760,73501,135201,244683,433168,761457,1333321,2297897,3811272,3815465,3802366,2277524,2277023,2277026,3801468,2277028,1320474,1320476,2277042,3801508,6075648,3814388,3814394,6096541,9281360,13556851,9296923,9296925,6132721,3836798,2298590,1333706,1333707,2298592,3836802,6132730,9362650,13671992,19147374,25792526,29474441,25792898,25792897,33588593,42612098,256152865,25639810,25639809,22137828,16021116,16021115,22137825,19135272,19135273,25775752,33565278,29474379,22137782,22137783,16021336,16021335,22137951,22137952,29474576,33428243,25792764,25792765,33588468,29474885,22138238,22138239,22138234,22138236,29474860,22138196,16021409,16021410,22137819,22101140,22101141,29433381,29474420,25792902,19147714,19147713,22138264,29474943,34675796,29000682,29000681,29474831,38037227,29474383,25639812,19071673,16021134,11123815,11123814,16021106,22137816,29474413,256925691,52820691,42419049,38037223,33565334,29474949,29474947,29474310,29474309,38037183,38037303,38037302,33428244,33428245,29474961,22138275,22138276,29474361,22137757,22137756,29474200,22138121,22138122,22137706,16021031,11123751,11123750,7378171,4661199,2808176,2808177,4661201,7378173,7378210,254765633,16021157,22137883,19136238,13664243,13664245,19136246,25776885,24092028,17734327,17734326,24092022,31595512,268440676,25778705,19137587,13665210,9358073,6129759,6129761,254936873,9357812,13664534,9357585,9357584,13664533,268168983,13665199,9358063,6129753,3835062,3835063,6129755,6129744,254304387,1333148,1333147,2297627,3835143,6129888,6129894,6129900,6129467,6129465,6129717,3835042,3835041,2297607,2297604,3835084,6129801,9358155,13665296,13664604,13664603,19136857,19136950,13665016,13664692,9357948,9357949,13664697,13665018,13665020,13665411,13665412,19137835,25776231,19135739,19135737,14217289,14217290,19135791,19135770,19135768,19136941,25776294,19135964,19135963,19137822,19136906,19136904,23333986,30756650,23334008,23334007,30756691,25778617,19137520,19137519,25252719,19137322,19137323,18881531,18881532,25484225,33232882,33567903,25778758,25778759,33568728,42585282,33568366,25778399,19137351,19137352,19137390,19137391,25778430 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15339363, s2 = 13161072, dlinesl.size( ) = 14 s1 = 14348482, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14348482, s2 = 14094370, int(edited[s2]) = 0 s1 = 14348482, s2 = 14094370, d1 = 54, d2 = 58 Dl.O(d1) = 29301512,29301513,26906418,20023089,20023090,22054380,15950705,15950704,22054376,29384484,29381691,22051519,15948259,15948262,22029150,22029149,16132186,11206524,11206523,16132184,22274430,26226653,19511654,19511655,255425657,10875127,7190195 Dl.O(d2) = 255708398,32078390,33784268,25974010,19306961,19306960,19298483,19298484,18254722,12951523,12922694,8790949,8790945,8917550,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,5726103,5624648,3494537,3494538,5624637,8647980,9466753,6207306,6207305,9466751,13804786,15644126,10826784,10826785,13024795,8868601,8868599,13024792,18347151,19575259,19575257,26297962,24721488,18248249,18248248,24721486,32337675,31691352,31691351,24842689,24733261,24733262,18613725,13230924,9021837,5891395,5891393,9021833,8934765,5831716,5831715,8934763,5831880,3638984,3638982,5831925,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917553,6011556,6011554,8777845,8917551,6011580,6011579,9184969,13434206,18855427,25454123,26261472,19541828,13992635,254149704,26261474 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14348482, s2 = 14094370, dlinesl.size( ) = 2 s1 = 14348482, s2 = 14094370, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14348482, Dl.E( ) = 72, 4.01e-05 seconds used appending s1 = 14372498, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13501216, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11561597, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 10592928, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15338630, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11376227, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14371806, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11583149, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11413293, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11413293, s2 = 5402554, int(edited[s2]) = 0 s1 = 11413293, s2 = 5402554, d1 = 34, d2 = 30 Dl.O(d1) = 261393114,81055422,260395107 Dl.O(d2) = 223396084,220813796,217781220,214148507,209724419,204329821,197863189,190275181,181485198,171471821,160257084,148009007,134889037,121087319,106827819,92516149,78476266,65191895,53206306,42756685,33727094 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11413293, s2 = 5402554, dlinesl.size( ) = 14 s1 = 14372706, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14372706, s2 = 7347728, int(edited[s2]) = 0 s1 = 14372706, s2 = 7347728, d1 = 31, d2 = 33 Dl.O(d1) = 15493044,268912782,256331930,36872846,46752010 Dl.O(d2) = 200146181,200146182,264716539,215350062,215350063,265163953,224064641,265691989,274553510,266312617,235639073 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14372706, s2 = 7347728, dlinesl.size( ) = 2 s1 = 14372706, s2 = 7347728, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14372706, Dl.E( ) = 38, 9.06e-06 seconds used appending s1 = 11592169, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11592169, s2 = 11056230, int(edited[s2]) = 0 s1 = 11592169, s2 = 11056230, d1 = 51, d2 = 52 Dl.O(d1) = 266626334,267002545 Dl.O(d2) = 256341421,21636470,21636471,28911080,37450679,47357220,258697787,85045614,85045613,71473967,58744513,47357217,256341421,21636470,255045617 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11592169, s2 = 11056230, dlinesl.size( ) = 28 s1 = 14373059, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14373059, s2 = 14279839, int(edited[s2]) = 0 s1 = 14373059, s2 = 14279839, d1 = 176, d2 = 203 Dl.O(d1) = 256876210,32782636,41698983,47006145,58376404,63826333,63826332,269837784,77772983,256761798,255757930,28609773,28609772,37119984,256235078,37119987,28609775,21374808,15393670,15393669,21374807,28609766,254695912,15393668,21374805,28609771,37119982,47006141,58376400,71092566,58376425,47006168 Dl.O(d2) = 136734714,123684970,271636720,95240369,109493502,260405692,259165652,80293521,80293522,94350174,108637916,122902590,136734716,123684972,271636720,81185068,67719939,55379970,44533649,44533650,54605984,43863084,34592599,26605658,19798730,19798731,256721539,46726484 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14373059, s2 = 14279839, dlinesl.size( ) = 2 s1 = 14373059, s2 = 14279839, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14373059, Dl.E( ) = 204, 5.6e-05 seconds used appending s1 = 11228317, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11228317, s2 = 13118430, int(edited[s2]) = 0 s1 = 11228317, s2 = 13118430, d1 = 10, d2 = 4 Dl.O(d1) = 259634221,119266655 Dl.O(d2) = 180212686,274108868 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11228317, s2 = 13118430, dlinesl.size( ) = 14 s1 = 14981916, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11054421, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11054421, s2 = 12972223, int(edited[s2]) = 0 s1 = 11054421, s2 = 12972223, d1 = 151, d2 = 135 Dl.O(d1) = 21267893,15306526,10570363,10570362,12055285,15307680,21269193,21248478,21248479,17164917,12068694,8115504,5199219,5199221,8115509,10546983,7067239,4449599,4449598,4583001,4582999,7267303,8112554,5197416,3171030,3171031,5197375,6961658,6961659,6961128,6961125,10554438,7134370,4491675,4373088,2619707,1512353,857454,857449,1512338,2619674,4373011,6066355,6066842,9238158,6050408,6050407,6050400,6050370,4376850,4376851,5195799,3170167,1855971,1855970,3170073,5195592,8109531,8115561,5199288,5199287,7069974,9249464,12379452,10527002,10527001,8103449,5192062,3168230,1854972,1058788,595411,331990,182827,182831,331999,595425,1058809,1855018,3168316,2274763,1319108,752479,427410,427407,752423,752424,1318980,2274518,3793140,2272087,2272090,2622135,4377900,6058632,6067348,6058303,3791737,3791740,6060107,6963137,6963138,10557467,15292725,21257203,23904851,23904850,22522932,22522933,19586157,14032355,14032356,17578277,12408408,12408407,13511390,18948148,19042608,19042609,25569614,18959860,17410967,12270267,9261774,6066111,6066110,255266975 Dl.O(d2) = 171434941,171434939,160215323,160215322,147963941,134842770 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11054421, s2 = 12972223, dlinesl.size( ) = 8 s1 = 14372752, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11604009, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11604009, s2 = 11594752, int(edited[s2]) = 0 s1 = 11604009, s2 = 11594752, d1 = 1, d2 = 63 Dl.O(d1) = 240929925 Dl.O(d2) = 241689471,241263029,240802359 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11604009, s2 = 11594752, dlinesl.size( ) = 34 s1 = 16294718, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16294718, s2 = 14339781, int(edited[s2]) = 0 s1 = 16294718, s2 = 14339781, d1 = 0, d2 = 45 Dl.O(d1) = 64147177,52294863,52294864,64147182,77296350,91216765,105439352 Dl.O(d2) = 133553076,119678122,105439291,105439290,119678071,119678072,119677479,105438848,91216428,77296168,77296169,87679634,87679635,101650893,115694404,129580090,129580119,125502105,111696370,111696369,262611419,151536764,146811854,260855129,105439091,91216580,91216582,100068425,86102991,86102990,258481722,127984158,119678312,105439426,105439427,119678314,133553808,146812616,159187754 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13131470, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15336824, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15336824, s2 = 15154765, int(edited[s2]) = 0 s1 = 15336824, s2 = 15154765, d1 = 52, d2 = 63 Dl.O(d1) = 247568670,247550494,247532057,247512932,247512931,247512933,247493063,247472137,247472138,247493062 Dl.O(d2) = 247230282,247195005,247158131,247117797,267566726 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15336824, s2 = 15154765, dlinesl.size( ) = 2 s1 = 15336824, s2 = 15154765, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15336824, Dl.E( ) = 68, 1.31e-05 seconds used appending s1 = 13131964, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15340325, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11315267, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13129973, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13132764, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11430921, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430921, s2 = 6319403, int(edited[s2]) = 0 s1 = 11430921, s2 = 6319403, d1 = 75, d2 = 62 Dl.O(d1) = 191694620,199096983 Dl.O(d2) = 246158552 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430921, s2 = 6319403, dlinesl.size( ) = 50 s1 = 11365187, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10505423, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10649856, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13133090, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13133112, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14373040, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14373040, s2 = 1737289, int(edited[s2]) = 0 s1 = 14373040, s2 = 1737289, d1 = 50, d2 = 90 Dl.O(d1) = 27563076,20537407,14733114,10131746 Dl.O(d2) = 258550247,95571841,259805127,81541377,68054570,68054571,81541379,95571826,95571835,81541392,257929377,55657768,68054583,68054597,55657779,44749562,44749559,258550243,81541404,68054604,55657783,44749570,257328931,258550247,95571841,259805127,81541377,68054570,257328927,35323402,35323401,44749547,44749542,35323398,27199577,27199578,35323399,44749545,55657762,68054576,68054589,55657774,44749557,35323407,27199583,20272834,14545446,14545447,20272836,27199585,35323410,269203821,68054603,81541403,95571838,81541411,68054607,68054606,81541381,68054573,68054574,258550247,95571841,259805127,81541377,68054570,68054571,81541379,95571826,95571835,81541392,257929377,55657768,68054581,81541390,81541395,68054584,258550241,81541410,68054607,68054606,81541381,81541380,81541413,68054609,55657791,44749574,35323413,256761873,35323412,257328931,258550247,95571841,259805127,81541377,259178959 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14373040, s2 = 1737289, dlinesl.size( ) = 2 s1 = 14373040, s2 = 1737289, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14373040, Dl.E( ) = 92, 5.1e-05 seconds used appending s1 = 15339962, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11565161, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14158419, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10845033, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11612291, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11612291, s2 = 11430546, int(edited[s2]) = 0 s1 = 11612291, s2 = 11430546, d1 = 38, d2 = 41 Dl.O(d1) = 267031428,239056374 Dl.O(d2) = 225040961,274324128,216769205,264671428,178289453,167852497,156264157,261522576 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11612291, s2 = 11430546, dlinesl.size( ) = 34 s1 = 11589187, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11589187, s2 = 5541081, int(edited[s2]) = 0 s1 = 11589187, s2 = 5541081, d1 = 80, d2 = 47 Dl.O(d1) = 266806419,238314395 Dl.O(d2) = 227705320 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11589187, s2 = 5541081, dlinesl.size( ) = 72 s1 = 15340024, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15340024, s2 = 11147880, int(edited[s2]) = 0 s1 = 15340024, s2 = 11147880, d1 = 115, d2 = 113 Dl.O(d1) = 262293103,177039310,265583595 Dl.O(d2) = 260476594,138770784,151472086,261609080,258629598,20822820,27986730,27986731,34309466,26431518,19693557,19693560,22753857,22753858,23303714,254998318,28899129,21623953,15593384,10787363,7127348,4487190,2695855,1561762,887898,500976,280950,280949,500972,887893,1561755,2695816,2695814,4487100,7127172,10787045,255246940,28898835,23301767,23301768,17335741,12209996,12209997,268737666 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15340024, s2 = 11147880, dlinesl.size( ) = 72 s1 = 11012715, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11012715, s2 = 10894669, int(edited[s2]) = 0 s1 = 11012715, s2 = 10894669, d1 = 6, d2 = 12 Dl.O(d1) = 9354197,6127071,3833517,2296826,2296830,3833393,3833392 Dl.O(d2) = 2302834,3566261,3566260,5727802,8793404,12926223,12324041,12324040,11990400,8042561,8042563,11990401,17077214,12427638,8399499,5420224,3331984,1959591,1959589,3331978,5420214,8399482,12427610,17606198,23952064,23952065,31443698,40123059,40123202,31443828,23952201,23952202,31443873,31049438,31049437,31049417,23565089,23565090,31049391,23952162,23952163,23565065,17253764,17253765,23565068,31049380,268442713,23952189,31443801,31443800,40123174,256430662,39368155,30766575,23343384,23343383,30766569,31443906,23952234,17606229,17606228,23952229,31443901,25822326,19171880,17606150,12427584,8399468,5420204,5420203,8399463,12427573,17606130,23952066,31443700,40123066,40123096,33710992,25904595,25904596,33710997,31049427,31049426,39728291,39728290,49747445,39728274,31443846,23952183,23952058,17606125,12427567,12427566,17606123,17606172,17606175,23952140,31443805,40123177,48131143,38221092,29655151,29655152,30766565,39368142,49295509,40123049,40123051,40123273,33562057,25772667,25772664,25822331,25822330,23952087,17606147,12427582,12427581,17606143,256023949,40123077,32291331,24681224,24681223,32291327,41100673,51279082,41100681,41100680,51279084,256863576,32178946,24592448,18146629,12867917,12867916,18146625,24592441,18215381,12919741,12919742,18215383,24681235,32291342,41100698,50144129,268682427,31443687,40123041,36515273,36515274,46374369,57724614,70419653,75934409,62953551,51279100,51279090,41100688,255931758,40856690,32085209,32085208,257124589,51497815,51099731,40957813,36515279,28050943,20882392,14980087,14980084,20882390,23952166,31443824,32291336,41100691,51279093,62953547,75934407,75677172,65060161,53077808,42630305,33605382,25807606,25807607,33605388,32178930,32178929,24636101,24636100,32233739,41026120,51182694,62832748,75796763,77575409,74692625,62613068,50991061,256752426,75550851,75677146,257917614,269824220,57724616,62730927,51099755,40957834,40957832,51099749,62730925,70419635,83946515,97805834,257804806,61226759,269513848,75677145,89440306,75796761,62832746,51182689,51182687,62832744,68051630,57862962,46506840,46506841,52534520,57724611,57724608,57724609,256227002,97805836,92409151,92409153,92409143,83946507,83946506,83946503,83946504,97805829,258689724,77255872,77255870,75018134,62197152,62197153,59175541,59175539,71913255,77255554 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11012715, s2 = 10894669, dlinesl.size( ) = 14 s1 = 13134166, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13134236, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15340348, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11462561, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12700852, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 12700852, s2 = 11598238, int(edited[s2]) = 0 s1 = 12700852, s2 = 11598238, d1 = 37, d2 = 36 Dl.O(d1) = 206094683,211151641,264713368 Dl.O(d2) = 266721213 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 12700852, s2 = 11598238, dlinesl.size( ) = 20 s1 = 11334099, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11334099, s2 = 1243103, int(edited[s2]) = 0 s1 = 11334099, s2 = 1243103, d1 = 103, d2 = 137 Dl.O(d1) = 260850514 Dl.O(d2) = 257068013,31336016,31336013,23844085,256521097 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11334099, s2 = 1243103, dlinesl.size( ) = 44 s1 = 11420163, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11565915, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11565915, s2 = 11624084, int(edited[s2]) = 0 s1 = 11565915, s2 = 11624084, d1 = 1, d2 = 103 Dl.O(d1) = 233816842 Dl.O(d2) = 245788387,245788388,267462432,245387207,267414594,267378298 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11565915, s2 = 11624084, dlinesl.size( ) = 84 s1 = 10992823, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10992823, s2 = 11013480, int(edited[s2]) = 0 s1 = 10992823, s2 = 11013480, d1 = 2, d2 = 0 Dl.O(d1) = 254210212 Dl.O(d2) = 760671 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10992823, s2 = 11013480, dlinesl.size( ) = 2 s1 = 10992823, s2 = 11013480, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 10992823, Dl.E( ) = 12, 5.96e-06 seconds used appending s1 = 14373476, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 14373490, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14373506, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11081067, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14369390, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11449651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11449651, s2 = 6596015, int(edited[s2]) = 0 s1 = 11449651, s2 = 6596015, d1 = 37, d2 = 62 Dl.O(d1) = 192924518 Dl.O(d2) = 254345339,2760411,254517101,255064723,21944982,256369639 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11449651, s2 = 6596015, dlinesl.size( ) = 48 s1 = 15340439, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15340439, s2 = 11340335, int(edited[s2]) = 0 s1 = 15340439, s2 = 11340335, d1 = 97, d2 = 99 Dl.O(d1) = 16549236,255935036,38730683,38730684,39203445,37200015,37200013 Dl.O(d2) = 126707089,127173960,113314273,99310711,85365671,71775832,71772975,61889485,50399125,40364011,256545767,24159901,17792598,17792597,24159899,31669436,40364008,50399124,269884431,74682599,88309633,260147929,130227993,143552173,156084164,167686778,174298537,163450756,261983958,174298532,163450753,163450754,174298534,183960967,174298530,263463369,183960970,261983954,163450755,174298535 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15340439, s2 = 11340335, dlinesl.size( ) = 14 s1 = 10383894, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10383894, s2 = 11533312, int(edited[s2]) = 0 s1 = 10383894, s2 = 11533312, d1 = 44, d2 = 47 Dl.O(d1) = 3232469,3232470,5278748,8207727,7254250,5290772,3242125,1902506,1902504,1118219,627393,348542,348543,627398,1118227,1089681,1089682,1908433,1608062,1608060,1919738,1919737,1909800,1909801,1911274,1091499,612812,612811,1091506,1911296,3254155,4733588,4733586,3269331,1922293,267771587,1098150,616426,342660,187934,187933,342658,616423,1098146,1922277,3230220,254582587,254532233,2852827,2852826,4734426,7490887,8210627,5281645,3254110,3254111,5303321,5300439,254265811,1090185,612115,606358,337426,185366,185367,336369,604210,1070458,601533,335032,335037,601499,601494,1070373,1876272,3204148,4791625,2888279,2888278,1740557,989078,989081,1740454,2996836,1870604,1870605,2788068,2779291,1612306,1612309,2779303,1870272,1609883,915940,915943,1609896,2775283,2189339,1270540,725834,412695,412697,604045,1075224,1884649,3214342,3214146,1916205,1094413,1094417,945332,533168,299062,299064,533183,945373,601780,335148,335149,335188,601859,1071061,1877421,3205906,5247966,254580171,5251274,5317678,8171475,5240651,5240652,8171477,7573631,7397114,7397113,11152363,255454129 Dl.O(d2) = 264755169,219166013,221984461,224404790,226506819 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10383894, s2 = 11533312, dlinesl.size( ) = 2 s1 = 10383894, s2 = 11533312, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 10383894, Dl.E( ) = 48, 1.5e-05 seconds used appending s1 = 11466753, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11466753, s2 = 14130671, int(edited[s2]) = 0 s1 = 11466753, s2 = 14130671, d1 = 54, d2 = 61 Dl.O(d1) = 263878185,193569679,200682774,200682792,263520405,185271249,263878201,264485375,200682796,193569705,185271254,263877564,140525764,262203965 Dl.O(d2) = 264485370,211638031,206678631,200676542,193563055,261687164,127169303,127169302,140516000,127169304,113309591,99306035,85361090,85361091,99306037,113309593,270447296,109805313,123941798,137620338,270310672,113309589,259341130,143217754,129888365,260127604,74373538,87975272,86828395,256022246,39135044,38060471,38060469,40097176,50117628,61597299,256527722,115991110,258266474,155769246,167401245,272605066,187165529,177895382,177895383,187165533,192269685,263818499,204363931,197904352,197904353,199286044,191918606,183354367,173557751,162524464,150393604,137351917,123619296,259159176,81110585,257310008,55305452,67644309,81110586,259159180,123619297,260991520,137351916,272091952,162524457,173557742,183354356,191918596,199286030,273828996,210676324,214886717,210673552,205516237,199281970,191914001,191914002,199281972,205516227,205516222,199281954,199281953,199281944,191913987,183349310,183349311,173552889,162519717,162519718,162519723,173552896,183349329,191914006,199281981,205516250,205768170,199581366,192269692,192269691,199581363,205768166,199581372,192269698,183781956,263455101,199581358,199581357,199581360,192269687,183781952,174098920,163232201,163232202,263561893,262180982,100129973,100129974,114163694,128053370,128053383,122419967,260313910,259069608,269099366,35076435 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11466753, s2 = 14130671, dlinesl.size( ) = 40 s1 = 11210483, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13134647, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13134647, s2 = 865807, int(edited[s2]) = 0 s1 = 13134647, s2 = 865807, d1 = 17, d2 = 15 Dl.O(d1) = 195136867,187060270,177786818 Dl.O(d2) = 22175302,16050414,11144635,11144638,16050424,18759125,13357864,9129060 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13134647, s2 = 865807, dlinesl.size( ) = 14 s1 = 14143948, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14143948, s2 = 11100622, int(edited[s2]) = 0 s1 = 14143948, s2 = 11100622, d1 = 45, d2 = 147 Dl.O(d1) = 228776919 Dl.O(d2) = 261527866,117543599,271928661,103413977,103413978,89320823,89320822,75563002,62624124,257270930,32094719,24519863,24519864,32094722,31998811,24440377,24440376,268236447,11642279,7756224,7756222,11642269,16679119,18478863,18074036,12813517,8944114,8944115,9455980,6199833,6199834,7755347,7755346,8908139,5813179,5813180,5840340,8947552,8947125,8947122,13127620,16677821,16677820,17967075,12732550,12732549,13128115,8956668,5846191,3648252,2180879,1263926,720272,720273,1263930,2180893,3648282,5846236,8632396,5613483,3486746,3486745,3585218,5757316,8683636,8835275,8956681 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 16384149, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16384149, s2 = 8781548, int(edited[s2]) = 0 s1 = 16384149, s2 = 8781548, d1 = 83, d2 = 64 Dl.O(d1) = 236244947,237077208,237837322,266765337,239742311,240280034,240280026,240280028,266980757,241241996,240779363,266881477,239161014,239161015,239161018,238528312,237837323,237837322,266765337,239742311,240280034,240280026,240280028,266980757,241241995,267025681,242065709,242429866,267105991,241670262,241241977,241241978,241241989,240779365,240779364,266932717,240280028,266980757,267067151,242429869 Dl.O(d2) = 265704637,229815891,265704639,224236289,265180031,215574418,215574417,215574413,211492641,206498230,264476371,206498234,200456584,193303399,184969674,175425753,164667579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16384149, s2 = 8781548, dlinesl.size( ) = 22 s1 = 15339976, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15339976, s2 = 11423866, int(edited[s2]) = 0 s1 = 15339976, s2 = 11423866, d1 = 25, d2 = 34 Dl.O(d1) = 231275715 Dl.O(d2) = 193371338,261831270,152918842,152918841,164749769,262339110,200519661 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15339976, s2 = 11423866, dlinesl.size( ) = 26 s1 = 13137488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13137488, s2 = 13321582, int(edited[s2]) = 0 s1 = 13137488, s2 = 13321582, d1 = 138, d2 = 135 Dl.O(d1) = 264839467,220080379,222780913,225103667,265770729,230436124 Dl.O(d2) = 40107256,40107257,40107258,31427635,23936724,23936725,21715926,16549681,11535138,7674115,4855864,4855863,7674114,11535137,16549680,22762330,30149719,36944091,36944090,36487083,36487082,46344251,255649666,83912951,257181164,125499181 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13137488, s2 = 13321582, dlinesl.size( ) = 34 s1 = 14121828, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11572643, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11527765, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14373200, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14373200, s2 = 11299398, int(edited[s2]) = 0 s1 = 14373200, s2 = 11299398, d1 = 41, d2 = 43 Dl.O(d1) = 2360460,1366721,778480,441732 Dl.O(d2) = 438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438368,441964,771652,438370,438373,441966,779099,1368072,2362623,3946157,270791658,256409629,48282893,59670368,260737124,53725800,43213885,34126295,34126292,43213875,53725787 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14373200, s2 = 11299398, dlinesl.size( ) = 2 s1 = 14373200, s2 = 11299398, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14373200, Dl.E( ) = 44, 1.6e-05 seconds used appending s1 = 11299397, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13138488, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13138488, s2 = 12298972, int(edited[s2]) = 0 s1 = 13138488, s2 = 12298972, d1 = 17, d2 = 43 Dl.O(d1) = 35112521 Dl.O(d2) = 262941752 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13138488, s2 = 12298972, dlinesl.size( ) = 46 s1 = 14374054, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14374054, s2 = 15260456, int(edited[s2]) = 0 s1 = 14374054, s2 = 15260456, d1 = 180, d2 = 33 Dl.O(d1) = 4403964,6267426,3924170,2349316,2349314,3924198,6267483,8655715,8744348,5692826,3541574,2108482,1214557,1214560,2108498,3541682,2185237,2185236,2235705,2185254,2185252,3653758,5853290,6516920,6516919,5751782,3581439,2134146,2134144,3581429,4395230,6993680,10600364,7283101,7283099,7050200,6153853,3850428,2306935,2306932,3850418,6153842,7227568,7227569,10926264,12825052,8719510,5675653,5675656,5978415,9135896,8629894,8629895,9393915,12702257,13355073,13355074,10921496,10921497,15428427,17941794,17941792,21444930,22328860,16182685,13353374,11128175,11128174,13364947,12795726,8699491,5662559,3521770,3521773,5662568,4725012,2846901,2846900,4442230,2762942,2762941,4592389,7282093,11000738,11003890,7284324,7284322,8699395,5662509,5662513,5856036,5675921,3530198,3530201,5675935,6292472,6292475,5978876,5978879,3941316,3941321,5771483,8855167,8808374,8808372,10656459,7037010,7037009,10656458,9394362,9394364,13715314,18767901,18767899,25349713,255207026,20105975,25966170,19300103,19300104,25966172,21338301,15364432,10615602,10615600,10677903,10677901,13365116,18768797,25350485,255396814,15442195,268070284,15871185,11000235,7281718,5623404,3493723,2075636,1192623,1192627,2075622,3493685,5623324,6405925,8970879,9136883,6516699,4083182,4083185,6516620,6516618,7873713,7057644,4443221,4443222,7012150,9199127,12850876,18123371,24482081,19506027,13961684,12750244,12750243,12844950,8734957,8734956,12844944,9455653,6199626,6199627,9455658,9455259,9455257,9553070,13918404,15347828,10661427,10661428,11004034,15875218,14417423,9915918,6516566,6516567,9915922,14417431,14416187,9914840,6859462,6859461,9199345,6023012,3768054,3768052,3768118,6023136,6022840,6022841,8714156,5672495,3528317,2257628,2257629,1310335,1310337,2257655,1413230,1413232,2444150,2442915,1412628,803787,455529,455531,803812,1412695,2443042,4083100,2522066,1453380,1453381,2522090,4218466,6515818,9392888,13705471,9387169,6149921,6149918,5970774,3733925,2235602,1296481,1296482,2235616,3733986,4594192,7285016,7285150,9124592,5970803,3733936,3733935,5970799,9124573,9134546,7285360,7285364,6516147,6516146,9915329,13367005,9135476,5978189,3738464,2238216,2238217,3738467,5626862,3496231,3496232,5626865,3498423,2078953,2078952,3498412,5630108,3541579,2108484,1214557,1214560,2108498,3541682,3653724,5853246,3734166,3653738,3653737,2762913,1601655,1601656,910722,513777,288253,159509,159507,288248,513772,910711,1601653,2762910,4592327,7281996,7059009,4444098,2669553,1546058,1546059,2669555,4444102,7059019,7281873,11000430,8847137,5765916,3591416,2141245,1236526,700860,394116,394117,700862,268048590 Dl.O(d2) = 52928898 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374054, s2 = 15260456, dlinesl.size( ) = 2 s1 = 14374054, s2 = 15260456, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14374054, Dl.E( ) = 186, 5.1e-05 seconds used appending s1 = 11460401, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11460401, s2 = 12751143, int(edited[s2]) = 0 s1 = 11460401, s2 = 12751143, d1 = 38, d2 = 183 Dl.O(d1) = 204026993 Dl.O(d2) = 30853773,39457953,41962132,41962133,52302723,64154483 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11460401, s2 = 12751143, dlinesl.size( ) = 134 s1 = 14373860, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14373884, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14373884, s2 = 14213039, int(edited[s2]) = 0 s1 = 14373884, s2 = 14213039, d1 = 86, d2 = 166 Dl.O(d1) = 243547007 Dl.O(d2) = 231705963,230314855,265763798,224936679,265604045,265898823,266033288,228750515,274525111,266152064,230314873,266033296,230314875,231706053,230314876,228750588,228750587,230314875,231706053,230314876,228750588,265610360,224936694,265757883,230314827,230314825,228750552,226974157,224936651,222590757,219859217,219859218,222590759,274423341,224936638,226974137,228750518,226974184,265757881,265610358,222590792,222590793,224936686,226974178,228750575,230314863,231705980,230314799,228750525,265610354,222590747,219859209,216622097,264579058,202143805,202143807,207939616,212716705,216622101,219859214,265604037,265610356,224936654,226974140,228750524,230314796,231705977,231706057,265904404,224936695,224936694,265757883,230314827,228750551,226974157,224936651,222590757,219859217,216622103,212716707,207939617,263992444,263263382,167427560,155798687,143247428,129916360 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14373884, s2 = 14213039, dlinesl.size( ) = 40 s1 = 14374096, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11258879, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10715087, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13139344, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11587535, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11587535, s2 = 10397567, int(edited[s2]) = 0 s1 = 11587535, s2 = 10397567, d1 = 87, d2 = 64 Dl.O(d1) = 238003901,238681209,239302376,239874023,240402002,240891840,241345446,241765520,241765521,241765522,241765523,241345434,240891832,240401996,274843748,241345435,241345456,240891848,240402006,239874026,266714650,238681210,239302377,266838016,240891853,241345449,240891843,274826768,239874024,266778760,239302377,266838016,240891853,266990412,241345435,241345456,240891848,240402006,239874026,266714650,238681210,239302377,266838016,240891853,241345449,241345448,241765527,241765528,241765523,241345434,240891832,240401996,274843748,241345435,241345456,240891848,240402006,239874026,239874025,266892804,241345452,241345445,274873682,241765526,241345442,240891836,240401998,239874021,239874020,274843748,241345435,241345456,240891848,240402006,239874026,239874025,266892804 Dl.O(d2) = 274825785,237957763,237207427,236384415,266390628,233411310,232217051,230893533,229416086,227752422,225856309,223682791,221174383,218245380 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11587535, s2 = 10397567, dlinesl.size( ) = 2 s1 = 11587535, s2 = 10397567, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11587535, Dl.E( ) = 88, 2.6e-05 seconds used appending s1 = 13137763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11543569, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13138363, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13138363, s2 = 11267904, int(edited[s2]) = 0 s1 = 13138363, s2 = 11267904, d1 = 0, d2 = 15 Dl.O(d1) = 70931896 Dl.O(d2) = 258271824,268683374,22212795,16081488,16081489,22212797,29558070,257512599 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13138363, s2 = 11267904, dlinesl.size( ) = 14 s1 = 16027087, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16027087, s2 = 8284887, int(edited[s2]) = 0 s1 = 16027087, s2 = 8284887, d1 = 81, d2 = 77 Dl.O(d1) = 31491939,256027917,17650419,17650418,23994456,31491938,40177396,50201157,61684429,74467656,88080156,102066734,116125083,130035055,143367448,155910241,167524956,177996309,187244174,195295560,202179833,207967909,212740401,264170012,263486034,203779263,203779264,209259117,263846510,209259120,203779267,197215349,189519859,180614319,260507156,146759778 Dl.O(d2) = 70422538,259252589,111730153 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16027087, s2 = 8284887, dlinesl.size( ) = 56 s1 = 16384742, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 16384742, s2 = 11660941, int(edited[s2]) = 0 s1 = 16384742, s2 = 11660941, d1 = 75, d2 = 81 Dl.O(d1) = 91691890,105899617,260879827,133953975,272705353,159534801,170862115,164160415,152275231,139543592,261082447,112307110,98324188,84414604,70857123,58142825,46775001,36896944,268606070,10497800,6922345,4348859,2604623,1503149,1503152,2604632,4348858,254493167,10497798,15218662,17182059,12081233,8124098,8124097,12081228,17182046,21144934,28360221,36858235,46739827,58109925,258652545 Dl.O(d2) = 234998730,233959311,232818721,231557613,230150802,228566127,226763729,265358848,219544068,264953350,212302779,207456858,201579841,194596915,186443703,177089036,166507887,154801483,142167365,128812651,114915496,100865096,100865097,86885104,86885103,271365461,127617987,113749095,99734614,85780712,257465984,59448305,48056655,38142987,29576255,22228830,22228829,29576254,38142984,48056653,256885742,71505923,72116047,59384006,58287385,58287384,71002619,71002621,71002622,59384007,47994532,38082165,38082166,32490350,32490351,29517764,28544170,28514735,26206717,26206720,34062286,37559649,37559648,38340351,29769080,29769079,37013960,38082167,38082168,47994534,255520916,34189911,30730940,23312301,17049850,17049851,23312304,30730947,39248452,30652618,30652617,31860704,40562394,47448932,47448933,58835012,52685540,52685539,52688171,64588682,60656708,49256094,39329294,39329295,47897159,59292630,72029015,269801407,29266297,21944309,15855607,10989660,10989662,15855608,21944312,22293988,255063484,22293258,22293259,29645201,29151627,268216067,10925799,10925798,15773603,15773604,268385303,21478882,28736032,24162657,24162655,29645955,22293934,16149103,11219363,11219364,16149106,22293940,29645959,29645655,29645654,268402943,22294599,29646668,29646793,28735667,21478551,15476082,15476081,21478547,24013363,24013364,31514116,40200496,38212461,29645925,22293899,22293897,29645919,268385307,15476316,15476317,21478912,28736066,37268058,38212986,29646461,22294436,16149488,11244551,7463938,7463937,11244550 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 16384742, s2 = 11660941, dlinesl.size( ) = 42 s1 = 15341749, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15341749, s2 = 12964675, int(edited[s2]) = 0 s1 = 15341749, s2 = 12964675, d1 = 83, d2 = 52 Dl.O(d1) = 36896942,36858233,28360220,28360221,36858234,46739827 Dl.O(d2) = 266786014 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15341749, s2 = 12964675, dlinesl.size( ) = 38 s1 = 13140192, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11105991, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11105991, s2 = 4122590, int(edited[s2]) = 0 s1 = 11105991, s2 = 4122590, d1 = 1, d2 = 4 Dl.O(d1) = 44640003 Dl.O(d2) = 154068432 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11105991, s2 = 4122590, dlinesl.size( ) = 28 s1 = 15340951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11218507, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13140794, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15341131, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15341131, s2 = 11054312, int(edited[s2]) = 0 s1 = 15341131, s2 = 11054312, d1 = 48, d2 = 5 Dl.O(d1) = 256348256 Dl.O(d2) = 36980229 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15341131, s2 = 11054312, dlinesl.size( ) = 48 s1 = 11580515, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11580515, s2 = 11481282, int(edited[s2]) = 0 s1 = 11580515, s2 = 11481282, d1 = 29, d2 = 6 Dl.O(d1) = 265868188 Dl.O(d2) = 224416543 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11580515, s2 = 11481282, dlinesl.size( ) = 38 s1 = 14373716, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14373716, s2 = 11067286, int(edited[s2]) = 0 s1 = 14373716, s2 = 11067286, d1 = 27, d2 = 37 Dl.O(d1) = 5193825,3169172,3169167,5193798,3791700,2273120,2273117,3794912,6065288,9260528,10564770,8078305,5173189,3154793,1846135,1053517,592376,330262,181894,99812,99813,99676,99674 Dl.O(d2) = 12674014,8607055,255203581 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14373716, s2 = 11067286, dlinesl.size( ) = 18 s1 = 13140910, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13140910, s2 = 13137764, int(edited[s2]) = 0 s1 = 13140910, s2 = 13137764, d1 = 4, d2 = 2 Dl.O(d1) = 257286522 Dl.O(d2) = 46329579 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13140910, s2 = 13137764, dlinesl.size( ) = 2 s1 = 13140910, s2 = 13137764, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13140910, Dl.E( ) = 8, 3.81e-06 seconds used appending s1 = 16205803, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10985729, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13141016, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13141016, s2 = 14166848, int(edited[s2]) = 0 s1 = 13141016, s2 = 14166848, d1 = 16, d2 = 90 Dl.O(d1) = 183428244 Dl.O(d2) = 258951305,103481220,117610825 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13141016, s2 = 14166848, dlinesl.size( ) = 48 s1 = 13139587, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14374176, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13141390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14374236, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14374236, s2 = 10998364, int(edited[s2]) = 0 s1 = 14374236, s2 = 10998364, d1 = 34, d2 = 22 Dl.O(d1) = 3817133,2286785,1326644,1326647,2286796,3817153,6100763,7508428,4746111,2860287,1660082,1660083,2860289,4746115,6111197,6111196,9329448,9287453,6084089,6084090,3835939,2298072,2298074,3835947,6131325,6592919,6592922,9304692,9344737,6120781,3829526,2294312,1331168,760138,760137,1331188,1481019,1481017,2572308,4302286,3825738,3825736,6113656,6113655,9333568,13630749,19006621,13564980,9287576,6084154,6084155,9287582,12207495,17332699,13655356,13655357,17670814,13616682,9323821,6107482,3821422,2289521,1328380,1328382,2289533,3821446,6107532,9323909,13616810,19036696,13588638,9304415,6094857,3813304,2284254,2284255,3813314,6094892,9304468,9351001,6124952,3832255,3832254,6124949,9350995,13588227,16274341,16274342,13616263,9323569,267862823,2289496,2289497,3821365,6107356,9323580,13589376,19037480,25612001,255684538,19065967,25690054,19154501,13677558,9366458,6135193,6135190,9366476,13677593,19154545,25250215,25698416,25698410,25625142,19010455,19005900,13564470,9287282,9287281,13564479,19005913,24251195,24251196,25767852,28435964,21211342,15244356,15244357,21211343,28435970,268672900,33477812,42465069,42475334,35337785,31760918,24249183,17872092,17872094,24249185,256134398,24251437,31763274,36803539,29058986,21763542,21763543,15707394,15707395,21763626,25465859,25465860,33213300,25695235,19070126,13614411,255275977,25695236,33468083,42461295,52865086 Dl.O(d2) = 39442754,30838738,23409434,23409433,267800556,29049678,21755777,15701480,10869443,10869442,15701477,21755773,29049672,37597524,36739745,30741022,30741023,39339790,49265818,50192832,50192831,50199509,50194316,42367554,33378670,25613390,25613391,33378658,31472645,23976532,17628978,12449932,12449936,17628988,23976550,22870105,22870107,30266759,28497351,21279848,15317403,15317402,21279847,23965580,23965579,22855844,16630196,16630195,22855840,24734128,24734127,32349858,41164742,46627528,46627527,58003481,58003603,58003604,58003346,46627322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374236, s2 = 10998364, dlinesl.size( ) = 2 s1 = 14374236, s2 = 10998364, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14374236, Dl.E( ) = 36, 1.1e-05 seconds used appending s1 = 13139929, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13139929, s2 = 11560866, int(edited[s2]) = 0 s1 = 13139929, s2 = 11560866, d1 = 1, d2 = 12 Dl.O(d1) = 182909328 Dl.O(d2) = 232194404 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13139929, s2 = 11560866, dlinesl.size( ) = 2 s1 = 13139929, s2 = 11560866, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13139929, Dl.E( ) = 18, 9.06e-06 seconds used appending s1 = 14374246, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12340451, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13141994, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14052057, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10592685, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10592685, s2 = 11484238, int(edited[s2]) = 0 s1 = 10592685, s2 = 11484238, d1 = 11, d2 = 0 Dl.O(d1) = 223671029 Dl.O(d2) = 197271110 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374370, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14374370, s2 = 12982580, int(edited[s2]) = 0 s1 = 14374370, s2 = 12982580, d1 = 43, d2 = 28 Dl.O(d1) = 226502527,228334486,229942232 Dl.O(d2) = 266596954,235810174,235810173,236681493 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374370, s2 = 12982580, dlinesl.size( ) = 46 s1 = 12982579, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11391735, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14883716, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 13141367, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13141367, s2 = 10607973, int(edited[s2]) = 0 s1 = 13141367, s2 = 10607973, d1 = 12, d2 = 11 Dl.O(d1) = 257090700,31629042,31629041,31629042,24123555 Dl.O(d2) = 12568419,17761584,22212645,16081386,11168112,7409206,4681651,2820764,1636496,1636497,2820767,254526243,11168121,16081392,22212650,29557880,38123368 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 2 Dl.To( xright[d2] ).size( ) = 1 s1 = 11572121, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13143204, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13142063, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16358248, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11023253, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14374646, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14374646, s2 = 5958444, int(edited[s2]) = 0 s1 = 14374646, s2 = 5958444, d1 = 108, d2 = 101 Dl.O(d1) = 179909160,169720232,158346500,145972318,132745142,258460278,118916954,104727153,90555564,268158520 Dl.O(d2) = 266185714,237751093,238450196,239088619,266637626 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374646, s2 = 5958444, dlinesl.size( ) = 32 s1 = 14374652, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14374652, s2 = 13129974, int(edited[s2]) = 0 s1 = 14374652, s2 = 13129974, d1 = 20, d2 = 22 Dl.O(d1) = 21438532,28689049,37213640 Dl.O(d2) = 126566208,262173026,107885920 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14374652, s2 = 13129974, dlinesl.size( ) = 2 s1 = 14374652, s2 = 13129974, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14374652, Dl.E( ) = 24, 9.06e-06 seconds used appending s1 = 10397648, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10397648, s2 = 15272027, int(edited[s2]) = 0 s1 = 10397648, s2 = 15272027, d1 = 48, d2 = 0 Dl.O(d1) = 254387244,15968231,256379997,47886089,59282531,72019505,85608036,258220842,73536844,87155135,101153063,115230331 Dl.O(d2) = 41290854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10397648, s2 = 15272027, dlinesl.size( ) = 36 s1 = 10575444, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14351682, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 7894306, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11119825, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11119825, s2 = 11382572, int(edited[s2]) = 0 s1 = 11119825, s2 = 11382572, d1 = 35, d2 = 28 Dl.O(d1) = 256460226,73168972,86781565 Dl.O(d2) = 154713722,264534265,186372322 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11119825, s2 = 11382572, dlinesl.size( ) = 60 s1 = 11434751, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11434751, s2 = 5668012, int(edited[s2]) = 0 s1 = 11434751, s2 = 5668012, d1 = 48, d2 = 40 Dl.O(d1) = 263861629,206414743 Dl.O(d2) = 231228138 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11434751, s2 = 5668012, dlinesl.size( ) = 22 s1 = 14374748, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11438537, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13144301, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 16203355, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11651833, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11651833, s2 = 12983958, int(edited[s2]) = 0 s1 = 11651833, s2 = 12983958, d1 = 42, d2 = 59 Dl.O(d1) = 264884734,222671918,264884732 Dl.O(d2) = 256149660,50428287,61499035,74275958,87878306,101851571,115897821,115897823 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11651833, s2 = 12983958, dlinesl.size( ) = 34 s1 = 11466585, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15329328, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11109203, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11560865, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 13146436, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13143319, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11321393, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11321393, s2 = 11100652, int(edited[s2]) = 0 s1 = 11321393, s2 = 11100652, d1 = 15, d2 = 5 Dl.O(d1) = 121057086,259372906,78456249,65173142,268084370,6171977,3861946,2313545,2313550 Dl.O(d2) = 2415585,2313565,2313561,2415583,2415586,4030997,3837836,3837839,6134281,6566657,4113715,4113716,6566658,255338309 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11321393, s2 = 11100652, dlinesl.size( ) = 24 s1 = 13145745, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11552761, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11552761, s2 = 11857329, int(edited[s2]) = 0 s1 = 11552761, s2 = 11857329, d1 = 11, d2 = 66 Dl.O(d1) = 231078184,274625529,237314982 Dl.O(d2) = 118058292,131883303,141000041,131883300 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11552761, s2 = 11857329, dlinesl.size( ) = 44 s1 = 11267903, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11267903, s2 = 13138364, int(edited[s2]) = 0 s1 = 11267903, s2 = 13138364, d1 = 19, d2 = 1 Dl.O(d1) = 257512598,44499626,40164328,31479621,23982733,23982734,268683375,258271825 Dl.O(d2) = 74357021 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11267903, s2 = 13138364, dlinesl.size( ) = 14 s1 = 11272235, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13147308, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14358312, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14085005, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14085005, s2 = 14258350, int(edited[s2]) = 0 s1 = 14085005, s2 = 14258350, d1 = 93, d2 = 36 Dl.O(d1) = 74783974,255906208,17875807,12659271,11023524,8046320,5136431,5136432,8046330,11994555,17082279,22219360,16087502,11173327,9779837,6430086,6430087,9779841,14226202,19856268,14225620,9779489,9779490,9791431,6437038,4037932,4037931,6437035,9791428,14243482,14244250,15866212,13332754,9109815,9109814,9791379,6437016,4037920,2419621,2419622,4037926,6437025,9791408,9905060,14400377,14400397,14225015,9779083,6429655,4033752,4033750,6429649,9779070,14224951,14224948,17082515,23079212,25304152,19880957,19116992,15998409,11106611,7366326,4653646,4653648,7366336,11106628,9779414,6429850,4033859,4033856,6429834,6429868,6429871,9779463,14225587,9791057,6436823,6436821,9791050,14242086,14242085,9792741,9792742,14244728,14227009,9780374,6430401,4034185,4034184,4038513,6438073,9780435,7828656,5210156,5210152,8132279,6432203,4035149,4035152,6432219,4035164,4035168,6432260,9783672,14232310,14236995,9786996,6434321,6434325,9787013,14225690,9779528,9779524,6434059,4036241,4036246,5515440,7109192,10759791,15556098,19875312,19864121,19864123,24575821,19869834,14245838,14245839,17948923,17948927,22819089,19864419,14231856,9783395,9783391,9179846,9179849,13426463,14236688,9786801,6434215,4036320,2418747,1400105,1400107,2418751,4036333,6434245,9786861,14236790,19864904,14232203,14232207,19864921,21485827,15865285,12718982,9781249,6430927,6430924,8156168,5226324,3188208,1865638,1865643,3188191,2146885,2146888,3599078,5776464,8861806,13015531,16271326,12301688,8308703,8308702,11946767,14231951,14405483,14405478,19879934,19858616,14227563,14227560,10831354,10831355,15419217,15422977,11577102,7705910,4876952,4876955,7705898,6538410,6538409,9948286,11145084,13188546,14235570,11337733,7534258,7534257,9786258,14235837,19869444,26688565,23359981,21848472,15777827,15777828,21848476,26011464,26671833,26684250,33829498,33829499,34677935,43952636,42146230,257788291,259657655,119937972,133806044,261973789,170773968,180905455,189794443,264057693,209427745,213894069,217561479,220622562 Dl.O(d2) = 227944348,227944347,226076745,223932189,221455342,264165036,218565654,215132736,215132738,218565656,215132740,210964028,205862868,199695242,261078124,163419877,163419881,151536450,151536447,138833684,138833683 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14085005, s2 = 14258350, dlinesl.size( ) = 8 s1 = 11100651, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11100651, s2 = 11321394, int(edited[s2]) = 0 s1 = 11100651, s2 = 11321394, d1 = 47, d2 = 13 Dl.O(d1) = 255338308,9273934,7640921,7640920,6134582,3838011,3838012,6134585,9300099,6092137,6092133,7420384,9300095,6092136 Dl.O(d2) = 4689166,2825494,2825496,4689174,268084371,59453557,72191531,259372907,113753850 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11100651, s2 = 11321394, dlinesl.size( ) = 64 s1 = 11299027, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11299027, s2 = 13994384, int(edited[s2]) = 0 s1 = 11299027, s2 = 13994384, d1 = 31, d2 = 71 Dl.O(d1) = 259254488 Dl.O(d2) = 255088199,7468632,4719818,2843493,1649496,937860,528494,528492,937853,1649480,2843464,4719770,7468557,11251058,11932280,7985147,7985146,11932271,16185607,16185608,22332232,16185633,11250788,11250789,16185636,22332279,29684027,38248876,38249847,38248969,29684101,29684102,38248842,29683992,29683991,22332912,22332913,29684011,29684009,268406730,29684070,22332311,16185663,16185664,22332314,29684076,38248936,256942641,29684891,29684890,256400619,29684074,257522447,59536802,48150059,48150058,59536800,59148384,59148385,59544720,61918179,50428145,40394666,40394665,48159040,51536345,41315467,32469985,24830479,18337005,13016804,13016805,18337011,24830485,32469991,36879164,41315484,51536368,51536321,41315441,32469968,32469967,28382782,22332330,16185679,11250814,11250816,16185681,22332335,29684100,38248967,48157964,58131934,58131933,58126074,46757791,46757790,58126071,58126003,46757730,36879083,36879082,46757728,48157962,48157961,38374518,38374517,48285256,46757854 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11299027, s2 = 13994384, dlinesl.size( ) = 2 s1 = 11299027, s2 = 13994384, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11299027, Dl.E( ) = 76, 2.79e-05 seconds used appending s1 = 10169101, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13148276, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13148276, s2 = 16178258, int(edited[s2]) = 0 s1 = 13148276, s2 = 16178258, d1 = 120, d2 = 106 Dl.O(d1) = 265217349,224612353,226689833,228500123,230090892,230090894,230090889,228500120,228500121,230090890 Dl.O(d2) = 1789273,3069069,2714630,1601043,1601044,1807136,1793812,1780621,1015346,572328,320563,177357,177358,320565,572332,1015353,580039,580040,1029405,1802493,254174831,571476,571478,1013840,1778289,1779186,3053696,5043195,3090095,1804871,1792635,1022492,1022493,1027109 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13148276, s2 = 16178258, dlinesl.size( ) = 2 s1 = 13148276, s2 = 16178258, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13148276, Dl.E( ) = 134, 3.41e-05 seconds used appending s1 = 11100633, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11008951, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11221541, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15342204, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15342204, s2 = 14948208, int(edited[s2]) = 0 s1 = 15342204, s2 = 14948208, d1 = 89, d2 = 91 Dl.O(d1) = 246437871,267546346,246263535 Dl.O(d2) = 16102206,11184641,7421196,4689650,2825761,1639493,932335,932338,1639500,2825783,4689677,4690109,4690107,7421929,4701923,2832657,1643385,1643386,2832665,4701939,7441463,11215165,11215666,16101890,16101504,11184087,7420802,4689420,4689421,7420805,268084385,22236615,29584402,29585927,38152027,30624595,29585182,29584348,22236527,16101440,16101441,16138720,16102137,11184578,7441881,7441880,11215776,11215690,7441831,4702152,254236923,934508,934509,254236925,4702158,7441837,11215703,16144158,22287917,29584588,29584587,29639273,29639274,30414383,30414382,23009633,23009634,16770453,11724806,11724805,16770450,23009629 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15342204, s2 = 14948208, dlinesl.size( ) = 2 s1 = 15342204, s2 = 14948208, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 15342204, Dl.E( ) = 140, 4.2e-05 seconds used appending s1 = 13148734, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13148734, s2 = 9423648, int(edited[s2]) = 0 s1 = 13148734, s2 = 9423648, d1 = 252, d2 = 238 Dl.O(d1) = 187902292,178799956,178799955 Dl.O(d2) = 34977832,34977833,44355538,55206180 Dl.To( xleft[d1] ).size( ) = 2 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10925059, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11594069, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11594069, s2 = 12555096, int(edited[s2]) = 0 s1 = 11594069, s2 = 12555096, d1 = 23, d2 = 34 Dl.O(d1) = 266471138 Dl.O(d2) = 744246,1304320,2248525,1943141,1943140,254269943,1943613,3303804,3302444,1942416,1109571,1109572,1109631,1109632,1942498,3302509,1942942,1942944,254185319,254105813,346287,623065,1109718,1109717,1942628 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11594069, s2 = 12555096, dlinesl.size( ) = 2 s1 = 11594069, s2 = 12555096, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11594069, Dl.E( ) = 68, 1.69e-05 seconds used appending s1 = 13148939, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13149660, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15342217, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15342165, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11511765, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11511765, s2 = 7469407, int(edited[s2]) = 0 s1 = 11511765, s2 = 7469407, d1 = 48, d2 = 98 Dl.O(d1) = 265524265 Dl.O(d2) = 274967407,243466409,243176243,243176244,243466411,243736612,243736611,243736597,243466391,243466390,243176233,242866943,267090084,266961064,266801286 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11511765, s2 = 7469407, dlinesl.size( ) = 34 s1 = 15342180, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15342180, s2 = 11227184, int(edited[s2]) = 0 s1 = 15342180, s2 = 11227184, d1 = 40, d2 = 44 Dl.O(d1) = 33450226,256159778,18373010,13048086,255630707,32512483 Dl.O(d2) = 167902999,156322212,143797172,143797171,156322211,167902998,167903002,156322213,143797172,259610356,102519497,88511583,74875522,62077304 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15342180, s2 = 11227184, dlinesl.size( ) = 32 s1 = 11598237, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11598237, s2 = 12700851, int(edited[s2]) = 0 s1 = 11598237, s2 = 12700851, d1 = 40, d2 = 36 Dl.O(d1) = 266721212 Dl.O(d2) = 264713369,211151632,206094676 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11598237, s2 = 12700851, dlinesl.size( ) = 2 s1 = 11598237, s2 = 12700851, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11598237, Dl.E( ) = 62, 2.41e-05 seconds used appending s1 = 10585554, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 10585554, s2 = 11451302, int(edited[s2]) = 0 s1 = 10585554, s2 = 11451302, d1 = 39, d2 = 47 Dl.O(d1) = 4943363,7795789,11673617,11673616,16714830,11675455,7784325,7574922,7574924,11399991,16380137,11689456,11689458,7796397,4943840,4943841,3091549,1806056,1806055,3091545,5093823,8001430,11916468,11671833,7780817,7780816,4936606,2978665,2978666,4936609,7786832,11674389,7783442,4937289,4937290,7787555,11679069,16713638,11952773,8001381,5093782,3091526,3091527,4935357,4932977,2975994,1727188,981905,981906,1727192,1732704,985066,554507,310256,310258,554516,985088,1727766,982181,982183,1726367,981486,981487,1726373,2974713,2975588,2975586,1727438,982014,982015,1727447,2976410,2976605,2976604,4933842,7783615,7783771,7783772 Dl.O(d2) = 226099546,264970886 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 10585554, s2 = 11451302, dlinesl.size( ) = 2 s1 = 10585554, s2 = 11451302, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 10585554, Dl.E( ) = 56, 1.69e-05 seconds used appending s1 = 11617419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11617419, s2 = 1201822, int(edited[s2]) = 0 s1 = 11617419, s2 = 1201822, d1 = 45, d2 = 8 Dl.O(d1) = 242960563 Dl.O(d2) = 28145344,36619198,46485627,57841730,70543720,84080796,271289761,125710190,261617029,272819697,174463608,184112861,176918923,166320486,154600244,154600243,154600245,141956267,128595086,259728860,100652579,100652583,100652584,100652580,86679749,73075181,73075182,73075183,60334857,48937130,39013973,30425171,23020341,16779969,16779968 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11617419, s2 = 1201822, dlinesl.size( ) = 2 s1 = 11617419, s2 = 1201822, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11617419, Dl.E( ) = 100, 3.1e-05 seconds used appending s1 = 14034447, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13150530, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11562341, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11562341, s2 = 11331914, int(edited[s2]) = 0 s1 = 11562341, s2 = 11331914, d1 = 30, d2 = 0 Dl.O(d1) = 232630957 Dl.O(d2) = 165251079,262699308,113544270 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11562341, s2 = 11331914, dlinesl.size( ) = 64 s1 = 14375502, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11643703, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14375390, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11280613, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11280613, s2 = 8289475, int(edited[s2]) = 0 s1 = 11280613, s2 = 8289475, d1 = 43, d2 = 27 Dl.O(d1) = 114439032,128315644,261762467 Dl.O(d2) = 71007606 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11280613, s2 = 8289475, dlinesl.size( ) = 2 s1 = 11280613, s2 = 8289475, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 11280613, Dl.E( ) = 274, 0.000107 seconds used appending s1 = 14375506, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14375506, s2 = 15342710, int(edited[s2]) = 0 s1 = 14375506, s2 = 15342710, d1 = 1, d2 = 1 Dl.O(d1) = 17298892,12177121,8208891,8208895,7298610,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,16210193,16210191,17309660,21960498,21960500,15867681,15867682,21960533,29286238,30543705,30543706,268090164,32591997,25323681,18744777,18744778,25079154,32776462,34618706,254538698,14195756,19817845,16874112,16874111,254979206,23625295,17309751,12185850,8216369,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099 Dl.O(d2) = 17298892,12177121,8208891,8208895,7298610,5574143,3457820,2049946,1175662,659974,365796,365800,660001,1175722,2050052,3458024,5574467,8579505,12636139,8579744,5574587,5574585,8579674,8579670,12636385,10872465,7188599,7188602,10872503,14197164,14368680,12633106,12633111,16210193,16210191,17309660,21960498,21960500,15867681,15867682,21960533,29286238,30543705,30543706,268090164,32591997,25323681,18744777,18744778,25079154,32776462,34618706,254538698,14195756,19817845,16874112,16874111,254979206,23625295,17309751,12185850,8216369,5286476,3238508,3238511,5286485,8216202,12185584,8578188,8578190,5573760,5573761,8578340,12634278,14212641,14212640,14212850,14212859,9770733,9770736,11960783,8006807,8006809,8730998,8731001,5774451,3597429,3597432,5774417,5774420,6375284,6375282,9692957,9695063,9695060,13066155,13066160,11549943,7739526,7739523,8580443,7086787,7086792,8088408,12030399,12029413,8087221,8087220,12029342,12029340,8088514,8088509,12028527,8089202,8089204,12032564,17122179,22887091,17123360,14093284,14093282,19661488,16913896,16913892,17748120,17846754,12638188,12638187,8580764,8580761,12638208,17846792,14430489,9926306,6523806,6523802,4904717,4904715,7745123,7682477,7682479,11547290,9692824,9692821,14092474,11837033,7910929,5029156,5029152,6891509,4326201,3161643,1850861,1850860,3161624,5181851,4647434,3161907,1850985,1850984,3161818,3161817,5181312,7029082,8086680,8086419,5182867,5182865,8089707,7065434,4448540,2672631,2672635,4448527,5984557,4802911,4802909,6421659,4028619,4028623,6421630,8088964,11612224,15159491,10454540,8526315,8526316,12572188,12031783,12031781,11838961,7912054,5029749,3044798,1773352,1010831,569722,319099 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14375506, s2 = 15342710, dlinesl.size( ) = 2 s1 = 14375506, s2 = 15342710, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 14375506, Dl.E( ) = 2, 2.86e-06 seconds used appending s1 = 15342709, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 11255855, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11255855, s2 = 8773353, int(edited[s2]) = 0 s1 = 11255855, s2 = 8773353, d1 = 0, d2 = 65 Dl.O(d1) = 102145534,260736743,143449581,155989952 Dl.O(d2) = 208588555,213236190,217039745,274300903,212218140,273908268,194460816,186286466,176909801,262414516 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11255855, s2 = 8773353, dlinesl.size( ) = 50 s1 = 11427919, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11427919, s2 = 14238451, int(edited[s2]) = 0 s1 = 11427919, s2 = 14238451, d1 = 44, d2 = 199 Dl.O(d1) = 189603190 Dl.O(d2) = 17829552,12624733,8570795,8570794,268117065,8515868,5513976,3400974,3400973,3410660,5524085,8524179,8525332,8525331,12571005,255584885,31634234,40323146,50349587,47897829,37980597,29417680,22087135,254852282,10721332,7083130,7083128,10721325,15503132,21513051,28774742,36846253,29911079,22554134,22554135,28868184,21593507,21593506,21570294,21570293,28841580,21614034,15584684,15584685,21614040,24943634,18429790,13090953,13090954,16291154,16291156,22459148,22519180,22519179,26699090,22519152,22020527,15919291,11041581,267999239,5414953,3328791,1957745,1118312,1118314,1957750,1118383,627495,348594,191120,191118,348588,254135647,1957835,3328934,5415152,7302692,4607155,2773090,2773089,4489209,4489208,7130838,10793143,15601600,21632821,21697258,15657269,10838167,7164577,7164578,10838168,12291806,10839213,7165474,4512992,2711801,1570934,893162,503963,503965,503991,282624,156096,156095,282621,503986,893216,518014,518013,918455,1614839,1092290,1092289,1912653,3253494,5302710,5302730,4623261,4623262,2861475,2861474,4621467,7319769,8200441,8200443,8181119,5250712,4620739,4620738,5256488,5256487,8187022,12156583,11033008,11033009,8148029,8148028,12117093,17235495,22025840,23545135,17237420,12120312,8151898,8151897,8008349,8008348,11045173,7320201,4621845,4621844,5304880,3255543,3255542,254585145,5305536,5305537,8151099,5306581,5222478,3185872,3185874,3256109,5263160,3256376,3256377,5237338,3204369,3204372,5246059,5237590,5237588,5415666,254846205,8304177,8218110,5288010,3239701,3239700,5288009,7175280,7175279,5414573,3328433,3328434,5414575,8390701,7317810,4619713,2781713,2781714,2781703,1613566,1613565,2781700,2780975,2780974,4618430,4618657,4619721,7317827,7895952,7895950,7309383,7291153,5294096,4604668,2771050,1607006,1607010,2771063,4604691,7300194,4620537,4615859,2779542,2779543,1880308,1072700,1072701,1880311,3210423,5249263,5253584,3210322,1880251,1880250,1087396,1087395,1904730,3245198,4617863,2780627,1613034,1613032,2780626,1900888,1085052,609374,609373,1085044,1089611,942730,531693,298158,165119,165122,298122,298042,298041,531457,613774,341287,187272,187270,341280,613760,342258,342259,254134131,1885398,1075663,604266,604269,1075650,1075648,1093866,614118,614115,1093908,1886348,1094203,1094206,1915844,3260529,5310481,5310308,5310309,4606023,2772125,1607756,914652,516170,336153,184779,184781,336165,603792,1074746,1883861,3215627,3235114,2626384,1516222,859656,859655,1516220,2626382,4384522,6978530,10578922,15316738,21279133,256311599,36589553,28116700,20939751,15031451,10359286,6823216,6823215,10359294,15031465,16038314,11136215,7386541,7386543,4666534,4666535,7386637 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11427919, s2 = 14238451, dlinesl.size( ) = 76 s1 = 14375648, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13235400, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15931415, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 16401875, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 10199484, closures1[li].size( ) = 0, int(edited[s1]) = 1 s1 = 15342494, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15342494, s2 = 9289426, int(edited[s2]) = 0 s1 = 15342494, s2 = 9289426, d1 = 8, d2 = 148 Dl.O(d1) = 127650490 Dl.O(d2) = 227488593,225534847,223288496,265100333,264637089,197562264 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15342494, s2 = 9289426, dlinesl.size( ) = 88 s1 = 10993475, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7965252, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7965252, s2 = 12252598, int(edited[s2]) = 0 s1 = 7965252, s2 = 12252598, d1 = 73, d2 = 48 Dl.O(d1) = 20837983,254548444,10278091,6754855,268235538,825659,466214,466213,825656,1458400,2530736,4232750,6754821,9087560,9087559,10307647,6779140,6755307,4233090,4233089,6755303,6836174,4289348,4289347,6779582,4249617,4249618,4261355,4261356,6796101,8326042,12325648,8326089,8326085,8596890,5586016,5586017,8596895,12661156,10327961,10327962,7669555,4852691,4585238,2758618,2758617,3177481,1860026,1860031,1860757,3178791,3178788,3706544,2219821,2219823,3706566,5927819,4587532,4587534,7274379,10988971,9102691,9080762,9074364,5934276,3720830,3720829,5949892,9094640,10281852,6757724,4234665,2531869,1459017,825968,825969,1459021,2531878,4234682,6757750,5480405,3372409,1984464,1984463,3372404,5480396,5480410,8478295,5585680,3465405,3465404,5585672,8596402,255153825,10462952,10462953,15170628,21116947,15174697,15174696,21122792,28334662,29353369,22022112,15920969,15920970,22022119,19107761,19107760,25741341,26941482,35022365,44397726,44786251,48521509,48521510,268937644,86256627,75597707,70793492,70793491,58877046,58877047,58877049,71597832,59403975,48016918,38106714,29543488,27239135,20308806,14574431,10028808,8730929,8730930,11404743,7578632,7578635,6487909,4065333,4065332,6487906,9875858,14369956,20055592,26941520,29927210,29927211,32118121,24540547,24540546,32118118,29353374,26941488,20055564,14369944,14369945,16386401,22566941,29927136,27239129,20308799,14574428,14574427,20308795,27239127,35362130,44786249,55693622,58877042,47496881,37592481,29927298,29927190,22566977,22566979,29044858,21751888,20055570,20055571,255099331,7578643,4793643,4793644,7578639,9875864,9875862,14369948,20055573,20055585,20055586,26941514,29927214,22566988,16386437,16386415,16386414,21946795,15857524,15857523,16386450,22566948,16386409,11404703,11404702,16386407,22566945,29927141,38487891,35362126,29927204,26941496,20055568,20055567,26941490,35022370,44397730,37592485,37592484,255809744,38487955,37592478,37592479,46715426,256298657,21124389,15176030,15176029,21124386,22567040,22567050,29927315,31797461,40492433,38487966,35022388,29927235,22566996,16386443,11404723,7578620,7578619,11404716,16386430,11404730,7578624,7578626,11404734,16386456,22567018,29927264,36832943,46715484,47352487,37445925,31825323,24308248,24308246,31825318,40522317,50558762,62051171,70804038,58087158,258651377,74816254,74816253,84362610,70804034,58087156,46715417,36832880,36832879,46715415,48391132,48391250,48391249,59774224,48391198,38488024,29927266,22567019,22567020,257539881,72508262,72508253,59774212,59774213,48391193,48391192,52393431,64248540,257416760,50558759,40522313,40522312,50558756,258298949,88485107,98271090,84362612,72508223,257539879,38488003,256959557,59774208,257416758,100072251,100072264,86106894,72508273,72508274,72508281,256298666,38488042,29927277,22567025,16386460,16386459,22567022,256959561,59774230,256329292,42049724,52393433,46715517,36832981,36832982,38574652,38574653,257416764,72617574,74849393,84362626,70804070,70804069,84362624,91316722,91316723,87182519,86106879,86106878,100072248,100179807,86216050,86216051,100179809,114212063,127987668,114102937,100072271,269305548,59774246,59774241,48391216,48391209,38488032,29927272,29927271,38488030,48391203,46715493,36832951,28336453,28336455,33101055,25366650,25366651,33101059,42049730,38574637,38574638,38574641 Dl.O(d2) = 265175473,224181988,265846765,229186950,227476784,265480148,264064228,272989472,259671268,269086090,70821817,70821816,70821818,84110459,84110458,84110457,92565155,78518393,65229173,65229174,78518395,92565160,106884736,112271262,98289548,92565140,78518389,257830214,78518404,78518405,92565167,106884741,258417324,92564989,259671262,260882392,121152913,106884743,259075798,106884725,106884726,106884733,92565158,92565157,106884724,259075794,65229170,53240727,53240726,65229168,65229176,78518401,92565135,92565136,106884714,121152894,106884745,92565169,78518408,65229180,257237761,33758601,25950663,25950662,33758599,269102319,258447197,92565148,92565121,92565122,92565134,78518380,78518379,259704857,111924682,125744582,134962989,148086374,160330909 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7965252, s2 = 12252598, dlinesl.size( ) = 14 s1 = 13152661, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13152661, s2 = 15100816, int(edited[s2]) = 0 s1 = 13152661, s2 = 15100816, d1 = 9, d2 = 14 Dl.O(d1) = 44344647 Dl.O(d2) = 255341417,10018717,10018716 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13152661, s2 = 15100816, dlinesl.size( ) = 14 s1 = 13153250, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11356405, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11356405, s2 = 11007945, int(edited[s2]) = 0 s1 = 11356405, s2 = 11007945, d1 = 54, d2 = 88 Dl.O(d1) = 140834772 Dl.O(d2) = 3149012,5166760,5229712,5229713,7521266,7521265,11325065,8017143,5105643,5105642,8017142,7522165,7522164,5148324,254570325,8044688,8044689,8021599,5110429,5110428,8018520,5107113,5107112,5233642,3194263,3194264,3140064,1836268,1047885,589594,328962,328961,589588,1047874,589599,589597,1047844,589574,589575,1047851,1836215,3139997,5149445,3133881,3133879,5149442,8057914,268101670,17073404,17073403,12013805,254820288,8071716,5165513,5165514,8067675,267839167,1839431,1049725,1049727,1839432,1839470,1839469,3129107,5143609,5149217,5149216,254790669,8079567,5174884 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11356405, s2 = 11007945, dlinesl.size( ) = 14 s1 = 12648763, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13153485, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13153485, s2 = 11107502, int(edited[s2]) = 0 s1 = 13153485, s2 = 11107502, d1 = 1, d2 = 1 Dl.O(d1) = 37763243,29201787,29201786,37763240,47685429,48635857,268419898,22752526,16541468,16541471,21701793,21701795,15661690,10841903,7167369,7167370,10841908,15661699,21702384,28985435,256889649,28460429,21235695 Dl.O(d2) = 37763243,29201787,29201786,37763240,47685429,48635857,268419898,22752526,16541468,16541471,21701793,21701795,15661690,10841903,7167369,7167370,10841908,15661699,21702384,28985435,256889649,28460429,21235695 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 13153485, s2 = 11107502, dlinesl.size( ) = 2 s1 = 13153485, s2 = 11107502, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 13153485, Dl.E( ) = 2, 3.1e-06 seconds used appending s1 = 15342485, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 12637596, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15100815, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15100815, s2 = 13152662, int(edited[s2]) = 0 s1 = 15100815, s2 = 13152662, d1 = 15, d2 = 0 Dl.O(d1) = 26042870,33864878,255341416 Dl.O(d2) = 19516952 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15100815, s2 = 13152662, dlinesl.size( ) = 14 s1 = 15342996, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 15342996, s2 = 14376357, int(edited[s2]) = 0 s1 = 15342996, s2 = 14376357, d1 = 41, d2 = 24 Dl.O(d1) = 236056382,266613557,238385266,239026164,266869167,266921248,239616094,266751258 Dl.O(d2) = 241568616,241249868,240788636 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 15342996, s2 = 14376357, dlinesl.size( ) = 42 s1 = 11646401, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11180419, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11180419, s2 = 13154534, int(edited[s2]) = 0 s1 = 11180419, s2 = 13154534, d1 = 3, d2 = 8 Dl.O(d1) = 258745771,99716035,113730385 Dl.O(d2) = 272513246,140948143,272163178,99716034,99716035,113730385 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 1 Dl.To( xright[d2] ).size( ) = 2 s1 = 11107501, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 11430545, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11430545, s2 = 11612292, int(edited[s2]) = 0 s1 = 11430545, s2 = 11612292, d1 = 33, d2 = 63 Dl.O(d1) = 264671429,218202830 Dl.O(d2) = 239253542,239829028,239253537,239253536,239829027,239829029,266923772,239829033,239253541,239253542,267031429 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11430545, s2 = 11612292, dlinesl.size( ) = 46 s1 = 11637493, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11637493, s2 = 5015696, int(edited[s2]) = 0 s1 = 11637493, s2 = 5015696, d1 = 132, d2 = 142 Dl.O(d1) = 267444098 Dl.O(d2) = 207651536,273789776 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11637493, s2 = 5015696, dlinesl.size( ) = 66 s1 = 13154533, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 13154533, s2 = 11180420, int(edited[s2]) = 0 s1 = 13154533, s2 = 11180420, d1 = 9, d2 = 4 Dl.O(d1) = 138900421,272513247,111758681,97833973,97833972,272163179 Dl.O(d2) = 138900422,125567123,111758681,97833973,258745770 Dl.To( xleft[d1] ).size( ) = 1 Dl.From( xleft[d1] ).size( ) = 2 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14376044, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11049549, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 11049549, s2 = 3434881, int(edited[s2]) = 0 s1 = 11049549, s2 = 3434881, d1 = 150, d2 = 161 Dl.O(d1) = 254207424,6274844,3928962,2352142,1362551,1362553,1341716,1341720,1362538,1362534,1341718,1341720,1362538,1362534 Dl.O(d2) = 85708333,99656209,113669217,127540530,140895689,153569857,165359132,176049363,185519373,193783507,200869697,206849856,211790597 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 11049549, s2 = 3434881, dlinesl.size( ) = 122 s1 = 16111527, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13155810, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 13155924, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14376070, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14376070, s2 = 11267074, int(edited[s2]) = 0 s1 = 14376070, s2 = 11267074, d1 = 26, d2 = 22 Dl.O(d1) = 45498118,35870498,27592115,20555784,14745388,14745386,20555748,17364543,17364538,20378923,14626148,10062342,6610698,4140460,2476212,1431088,816901,816897,463009,260891,260886,463042,818850 Dl.O(d2) = 255772557,35955827,45617881,269710063,56775424,69351689,82874105 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14376070, s2 = 11267074, dlinesl.size( ) = 34 s1 = 14373017, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 11535767, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 14376358, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14376358, s2 = 15342995, int(edited[s2]) = 0 s1 = 14376358, s2 = 15342995, d1 = 34, d2 = 60 Dl.O(d1) = 240897323,241350404,241568619 Dl.O(d2) = 239026168,238385268,266613556,236056383 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14376358, s2 = 15342995, dlinesl.size( ) = 72 s1 = 14917468, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 7947566, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 7947566, s2 = 6846852, int(edited[s2]) = 0 s1 = 7947566, s2 = 6846852, d1 = 12, d2 = 24 Dl.O(d1) = 23416220 Dl.O(d2) = 259180346 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 7947566, s2 = 6846852, dlinesl.size( ) = 2 s1 = 7947566, s2 = 6846852, "passes" = passes Sat Dec 09 04:19:20 2017: s1 = 7947566, Dl.E( ) = 38, 1.1e-05 seconds used appending s1 = 13554365, closures1[li].size( ) = 0, int(edited[s1]) = 0 s1 = 15342747, closures1[li].size( ) = 1, int(edited[s1]) = 1 s1 = 14376444, closures1[li].size( ) = 1, int(edited[s1]) = 0 s1 = 14376444, s2 = 8108913, int(edited[s2]) = 0 s1 = 14376444, s2 = 8108913, d1 = 114, d2 = 119 Dl.O(d1) = 267757639,380442,208974,120888 Dl.O(d2) = 270806694,65881213,53813244,43288206,34191150,34191154,43288192,34191138,256703875 Dl.To( xleft[d1] ).size( ) = 0 Dl.From( xleft[d1] ).size( ) = 1 Dl.From( xright[d2] ).size( ) = 0 Dl.To( xright[d2] ).size( ) = 1 s1 = 14376444, s2 = 8108913, dlinesl.size( ) = 96